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    "## 参数设置"
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vt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(v,U),i=Math.imul(v,V),i=i+Math.imul(y,U)|0,a=Math.imul(y,V),n=n+Math.imul(p,q)|0,i=i+Math.imul(p,G)|0,i=i+Math.imul(m,q)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(h,W)|0,i=i+Math.imul(h,X)|0,i=i+Math.imul(f,W)|0,a=a+Math.imul(f,X)|0;var yt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(x,U),i=Math.imul(x,V),i=i+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(v,q)|0,i=i+Math.imul(v,G)|0,i=i+Math.imul(y,q)|0,a=a+Math.imul(y,G)|0,n=n+Math.imul(p,W)|0,i=i+Math.imul(p,X)|0,i=i+Math.imul(m,W)|0,a=a+Math.imul(m,X)|0,n=n+Math.imul(h,J)|0,i=i+Math.imul(h,Q)|0,i=i+Math.imul(f,J)|0,a=a+Math.imul(f,Q)|0;var bt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=Math.imul(M,V),i=i+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(x,q)|0,i=i+Math.imul(x,G)|0,i=i+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(v,W)|0,i=i+Math.imul(v,X)|0,i=i+Math.imul(y,W)|0,a=a+Math.imul(y,X)|0,n=n+Math.imul(p,J)|0,i=i+Math.imul(p,Q)|0,i=i+Math.imul(m,J)|0,a=a+Math.imul(m,Q)|0,n=n+Math.imul(h,$)|0,i=i+Math.imul(h,tt)|0,i=i+Math.imul(f,$)|0,a=a+Math.imul(f,tt)|0;var xt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=Math.imul(T,V),i=i+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(M,q)|0,i=i+Math.imul(M,G)|0,i=i+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(x,W)|0,i=i+Math.imul(x,X)|0,i=i+Math.imul(_,W)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(v,J)|0,i=i+Math.imul(v,Q)|0,i=i+Math.imul(y,J)|0,a=a+Math.imul(y,Q)|0,n=n+Math.imul(p,$)|0,i=i+Math.imul(p,tt)|0,i=i+Math.imul(m,$)|0,a=a+Math.imul(m,tt)|0,n=n+Math.imul(h,rt)|0,i=i+Math.imul(h,nt)|0,i=i+Math.imul(f,rt)|0,a=a+Math.imul(f,nt)|0;var _t=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=Math.imul(L,V),i=i+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(T,q)|0,i=i+Math.imul(T,G)|0,i=i+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(M,W)|0,i=i+Math.imul(M,X)|0,i=i+Math.imul(k,W)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(x,J)|0,i=i+Math.imul(x,Q)|0,i=i+Math.imul(_,J)|0,a=a+Math.imul(_,Q)|0,n=n+Math.imul(v,$)|0,i=i+Math.imul(v,tt)|0,i=i+Math.imul(y,$)|0,a=a+Math.imul(y,tt)|0,n=n+Math.imul(p,rt)|0,i=i+Math.imul(p,nt)|0,i=i+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0,n=n+Math.imul(h,at)|0,i=i+Math.imul(h,ot)|0,i=i+Math.imul(f,at)|0,a=a+Math.imul(f,ot)|0;var wt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(D,U),i=Math.imul(D,V),i=i+Math.imul(I,U)|0,a=Math.imul(I,V),n=n+Math.imul(L,q)|0,i=i+Math.imul(L,G)|0,i=i+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(T,W)|0,i=i+Math.imul(T,X)|0,i=i+Math.imul(S,W)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(M,J)|0,i=i+Math.imul(M,Q)|0,i=i+Math.imul(k,J)|0,a=a+Math.imul(k,Q)|0,n=n+Math.imul(x,$)|0,i=i+Math.imul(x,tt)|0,i=i+Math.imul(_,$)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(v,rt)|0,i=i+Math.imul(v,nt)|0,i=i+Math.imul(y,rt)|0,a=a+Math.imul(y,nt)|0,n=n+Math.imul(p,at)|0,i=i+Math.imul(p,ot)|0,i=i+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0,n=n+Math.imul(h,lt)|0,i=i+Math.imul(h,ut)|0,i=i+Math.imul(f,lt)|0,a=a+Math.imul(f,ut)|0;var 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kt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(F,U),i=Math.imul(F,V),i=i+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(O,q)|0,i=i+Math.imul(O,G)|0,i=i+Math.imul(j,q)|0,a=a+Math.imul(j,G)|0,n=n+Math.imul(D,W)|0,i=i+Math.imul(D,X)|0,i=i+Math.imul(I,W)|0,a=a+Math.imul(I,X)|0,n=n+Math.imul(L,J)|0,i=i+Math.imul(L,Q)|0,i=i+Math.imul(C,J)|0,a=a+Math.imul(C,Q)|0,n=n+Math.imul(T,$)|0,i=i+Math.imul(T,tt)|0,i=i+Math.imul(S,$)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(M,rt)|0,i=i+Math.imul(M,nt)|0,i=i+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(x,at)|0,i=i+Math.imul(x,ot)|0,i=i+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(v,lt)|0,i=i+Math.imul(v,ut)|0,i=i+Math.imul(y,lt)|0,a=a+Math.imul(y,ut)|0,n=n+Math.imul(p,ht)|0,i=i+Math.imul(p,ft)|0,i=i+Math.imul(m,ht)|0,a=a+Math.imul(m,ft)|0,n=n+Math.imul(h,pt)|0,i=i+Math.imul(h,mt)|0,i=i+Math.imul(f,pt)|0,a=a+Math.imul(f,mt)|0;var At=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(F,q),i=Math.imul(F,G),i=i+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(O,W)|0,i=i+Math.imul(O,X)|0,i=i+Math.imul(j,W)|0,a=a+Math.imul(j,X)|0,n=n+Math.imul(D,J)|0,i=i+Math.imul(D,Q)|0,i=i+Math.imul(I,J)|0,a=a+Math.imul(I,Q)|0,n=n+Math.imul(L,$)|0,i=i+Math.imul(L,tt)|0,i=i+Math.imul(C,$)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(T,rt)|0,i=i+Math.imul(T,nt)|0,i=i+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(M,at)|0,i=i+Math.imul(M,ot)|0,i=i+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(x,lt)|0,i=i+Math.imul(x,ut)|0,i=i+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(v,ht)|0,i=i+Math.imul(v,ft)|0,i=i+Math.imul(y,ht)|0,a=a+Math.imul(y,ft)|0,n=n+Math.imul(p,pt)|0,i=i+Math.imul(p,mt)|0,i=i+Math.imul(m,pt)|0,a=a+Math.imul(m,mt)|0;var Tt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(F,W),i=Math.imul(F,X),i=i+Math.imul(N,W)|0,a=Math.imul(N,X),n=n+Math.imul(O,J)|0,i=i+Math.imul(O,Q)|0,i=i+Math.imul(j,J)|0,a=a+Math.imul(j,Q)|0,n=n+Math.imul(D,$)|0,i=i+Math.imul(D,tt)|0,i=i+Math.imul(I,$)|0,a=a+Math.imul(I,tt)|0,n=n+Math.imul(L,rt)|0,i=i+Math.imul(L,nt)|0,i=i+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(T,at)|0,i=i+Math.imul(T,ot)|0,i=i+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(M,lt)|0,i=i+Math.imul(M,ut)|0,i=i+Math.imul(k,lt)|0,a=a+Math.imul(k,ut)|0,n=n+Math.imul(x,ht)|0,i=i+Math.imul(x,ft)|0,i=i+Math.imul(_,ht)|0,a=a+Math.imul(_,ft)|0,n=n+Math.imul(v,pt)|0,i=i+Math.imul(v,mt)|0,i=i+Math.imul(y,pt)|0,a=a+Math.imul(y,mt)|0;var St=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(F,J),i=Math.imul(F,Q),i=i+Math.imul(N,J)|0,a=Math.imul(N,Q),n=n+Math.imul(O,$)|0,i=i+Math.imul(O,tt)|0,i=i+Math.imul(j,$)|0,a=a+Math.imul(j,tt)|0,n=n+Math.imul(D,rt)|0,i=i+Math.imul(D,nt)|0,i=i+Math.imul(I,rt)|0,a=a+Math.imul(I,nt)|0,n=n+Math.imul(L,at)|0,i=i+Math.imul(L,ot)|0,i=i+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(T,lt)|0,i=i+Math.imul(T,ut)|0,i=i+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|0,n=n+Math.imul(M,ht)|0,i=i+Math.imul(M,ft)|0,i=i+Math.imul(k,ht)|0,a=a+Math.imul(k,ft)|0,n=n+Math.imul(x,pt)|0,i=i+Math.imul(x,mt)|0,i=i+Math.imul(_,pt)|0,a=a+Math.imul(_,mt)|0;var Et=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(F,$),i=Math.imul(F,tt),i=i+Math.imul(N,$)|0,a=Math.imul(N,tt),n=n+Math.imul(O,rt)|0,i=i+Math.imul(O,nt)|0,i=i+Math.imul(j,rt)|0,a=a+Math.imul(j,nt)|0,n=n+Math.imul(D,at)|0,i=i+Math.imul(D,ot)|0,i=i+Math.imul(I,at)|0,a=a+Math.imul(I,ot)|0,n=n+Math.imul(L,lt)|0,i=i+Math.imul(L,ut)|0,i=i+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(T,ht)|0,i=i+Math.imul(T,ft)|0,i=i+Math.imul(S,ht)|0,a=a+Math.imul(S,ft)|0,n=n+Math.imul(M,pt)|0,i=i+Math.imul(M,mt)|0,i=i+Math.imul(k,pt)|0,a=a+Math.imul(k,mt)|0;var Lt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(F,rt),i=Math.imul(F,nt),i=i+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(O,at)|0,i=i+Math.imul(O,ot)|0,i=i+Math.imul(j,at)|0,a=a+Math.imul(j,ot)|0,n=n+Math.imul(D,lt)|0,i=i+Math.imul(D,ut)|0,i=i+Math.imul(I,lt)|0,a=a+Math.imul(I,ut)|0,n=n+Math.imul(L,ht)|0,i=i+Math.imul(L,ft)|0,i=i+Math.imul(C,ht)|0,a=a+Math.imul(C,ft)|0,n=n+Math.imul(T,pt)|0,i=i+Math.imul(T,mt)|0,i=i+Math.imul(S,pt)|0,a=a+Math.imul(S,mt)|0;var Ct=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(F,at),i=Math.imul(F,ot),i=i+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(O,lt)|0,i=i+Math.imul(O,ut)|0,i=i+Math.imul(j,lt)|0,a=a+Math.imul(j,ut)|0,n=n+Math.imul(D,ht)|0,i=i+Math.imul(D,ft)|0,i=i+Math.imul(I,ht)|0,a=a+Math.imul(I,ft)|0,n=n+Math.imul(L,pt)|0,i=i+Math.imul(L,mt)|0,i=i+Math.imul(C,pt)|0,a=a+Math.imul(C,mt)|0;var zt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863,n=Math.imul(F,lt),i=Math.imul(F,ut),i=i+Math.imul(N,lt)|0,a=Math.imul(N,ut),n=n+Math.imul(O,ht)|0,i=i+Math.imul(O,ft)|0,i=i+Math.imul(j,ht)|0,a=a+Math.imul(j,ft)|0,n=n+Math.imul(D,pt)|0,i=i+Math.imul(D,mt)|0,i=i+Math.imul(I,pt)|0,a=a+Math.imul(I,mt)|0;var Dt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Dt>>>26)|0,Dt&=67108863,n=Math.imul(F,ht),i=Math.imul(F,ft),i=i+Math.imul(N,ht)|0,a=Math.imul(N,ft),n=n+Math.imul(O,pt)|0,i=i+Math.imul(O,mt)|0,i=i+Math.imul(j,pt)|0,a=a+Math.imul(j,mt)|0;var It=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(F,pt),i=Math.imul(F,mt),i=i+Math.imul(N,pt)|0,a=Math.imul(N,mt);var Pt=(u+n|0)+((8191&i)<<13)|0;return u=(a+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,l[0]=gt,l[1]=vt,l[2]=yt,l[3]=bt,l[4]=xt,l[5]=_t,l[6]=wt,l[7]=Mt,l[8]=kt,l[9]=At,l[10]=Tt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=zt,l[16]=Dt,l[17]=It,l[18]=Pt,0!==u&&(l[19]=u,r.length++),r};Math.imul||(k=u),a.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?k(this,t,e):r<63?u(this,t,e):r<1024?c(this,t,e):h(this,t,e)},f.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},f.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},f.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},f.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),u=Math.sin(2*Math.PI/s),c=0;c<i;c+=s)for(var h=l,f=u,d=0;d<o;d++){var p=r[c+d],m=n[c+d],g=r[c+d+o],v=n[c+d+o],y=h*g-f*v;v=h*v+f*g,g=y,r[c+d]=p+g,n[c+d]=m+v,r[c+d+o]=p-g,n[c+d+o]=m-v,d!==s&&(y=l*h-u*f,f=l*f+u*h,h=y)}},f.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},f.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},f.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},f.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(a&-8192))},f.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},f.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),u=new Array(n),c=new Array(n),h=new Array(n),f=r.words;f.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,u,n),this.transform(o,a,s,l,n,i),this.transform(u,a,c,h,n,i);for(var d=0;d<n;d++){var p=s[d]*c[d]-l[d]*h[d];l[d]=s[d]*h[d]+l[d]*c[d],s[d]=p}return this.conjugate(s,l,n),this.transform(s,l,f,a,n,i),this.conjugate(f,a,n),this.normalize13b(f,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),h(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=l(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){\n",
       "n(\"number\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){n(\"number\"==typeof t&&t>=0);var i;i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var u=0;u<o;u++)l.words[u]=this.words[u];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,u=0;u<this.length;u++)this.words[u]=this.words[u+o];else this.words[0]=0,this.length=1;var c=0;for(u=this.length-1;u>=0&&(0!==c||u>=i);u--){var h=0|this.words[u];this.words[u]=c<<26-a|h>>>a,c=h&s}return l&&0!==c&&(l.words[l.length++]=c),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r)&&!!(this.words[r]&i)},a.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a=t.length+r;this._expand(a);var o,s=0;for(i=0;i<t.length;i++){o=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;o-=67108863&l,s=(o>>26)-(l/67108864|0),this.words[i+r]=67108863&o}for(;i<this.length-r;i++)o=(0|this.words[i+r])+s,s=o>>26,this.words[i+r]=67108863&o;if(0===s)return this.strip();for(n(s===-1),s=0,i=0;i<this.length;i++)o=-(0|this.words[i])+s,s=o>>26,this.words[i]=67108863&o;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=this.length-t.length,n=this.clone(),i=t,o=0|i.words[i.length-1];0!==(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){s=new a(null),s.length=l+1,s.words=new Array(s.length);for(var u=0;u<s.length;u++)s.words[u]=0}var c=n.clone()._ishlnsubmul(i,1,l);0===c.negative&&(n=c,s&&(s.words[l]=1));for(var h=l-1;h>=0;h--){var f=67108864*(0|n.words[i.length+h])+(0|n.words[i.length+h-1]);for(f=Math.min(f/o|0,67108863),n._ishlnsubmul(i,f,h);0!==n.negative;)f--,n.negative=0,n._ishlnsubmul(i,1,h),n.isZero()||(n.negative^=1);s&&(s.words[h]=f)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){if(n(!t.isZero()),this.isZero())return{div:new a(0),mod:new a(0)};var i,o,s;return 0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e)},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),u=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),h=e.clone();!e.isZero();){for(var f=0,d=1;0==(e.words[0]&d)&&f<26;++f,d<<=1);if(f>0)for(e.iushrn(f);f-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(c),o.isub(h)),i.iushrn(1),o.iushrn(1);for(var p=0,m=1;0==(r.words[0]&m)&&p<26;++p,m<<=1);if(p>0)for(r.iushrn(p);p-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),l.isub(h)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(u)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var l=0,u=1;0==(e.words[0]&u)&&l<26;++l,u<<=1);if(l>0)for(e.iushrn(l);l-- >0;)i.isOdd()&&i.iadd(s),i.iushrn(1);for(var c=0,h=1;0==(r.words[0]&h)&&c<26;++c,h<<=1);if(c>0)for(r.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(s),o.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(o)):(r.isub(e),o.isub(i))}var f;return f=0===e.cmpn(1)?i:o,f.cmpn(0)<0&&f.iadd(t),f},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];s+=a,a=s>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e=t<0;if(0!==this.negative&&!e)return-1;if(0===this.negative&&e)return 1;this.strip();var r;if(this.length>1)r=1;else{e&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];r=i===t?0:i<t?-1:1}return 0!==this.negative?0|-r:r},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return this.cmpn(t)===-1},a.prototype.lt=function(t){return this.cmp(t)===-1},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new y(t)},a.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,\"Already a number in reduction context\"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var A={k256:null,p224:null,p192:null,p25519:null};d.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},d.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),r=this.imulK(r),r=r.iadd(this.tmp),e=r.bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):r.strip(),r},d.prototype.split=function(t,e){t.iushrn(this.n,0,e)},d.prototype.imulK=function(t){return t.imul(this.k)},i(p,d),p.prototype.split=function(t,e){for(var r=Math.min(t.length,9),n=0;n<r;n++)e.words[n]=t.words[n];if(e.length=r,t.length<=9)return t.words[0]=0,void(t.length=1);var i=t.words[9];for(e.words[e.length++]=4194303&i,n=10;n<t.length;n++){var a=0|t.words[n];t.words[n-10]=(4194303&a)<<4|i>>>22,i=a}i>>>=22,t.words[n-10]=i,0===i&&t.length>10?t.length-=10:t.length-=9},p.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(m,d),i(g,d),i(v,d),v.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(A[t])return A[t];var e;if(\"k256\"===t)e=new p;else if(\"p224\"===t)e=new m;else if(\"p192\"===t)e=new g;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new v}return A[t]=e,e},y.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},y.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},y.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},y.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},y.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},y.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},y.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},y.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},y.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},y.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},y.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},y.prototype.isqr=function(t){return this.imul(t,t.clone())},y.prototype.sqr=function(t){return this.mul(t,t)},y.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),u=this.m.subn(1).iushrn(1),c=this.m.bitLength();for(c=new 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E=0;E<3;++E)j[E]+=M*O[E]*this.tickPad[E]/r[5*E];this._text.drawTicks(k,this.tickSize[k],this.tickAngle[k],j,this.tickColor[k])}if(this.labelEnable[k]){for(var E=0;E<3;++E)j[E]+=M*O[E]*this.labelPad[E]/r[5*E];j[k]+=.5*(s[0][k]+s[1][k]),this._text.drawLabel(k,this.labelSize[k],this.labelAngle[k],j,this.labelColor[k])}}},p.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{\"./lib/background.js\":134,\"./lib/cube.js\":135,\"./lib/lines.js\":136,\"./lib/text.js\":138,\"./lib/ticks.js\":139}],134:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}function i(t){for(var e=[],r=[],i=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(l+2)%3,h=[0,0,0],f=[0,0,0],d=-1;d<=1;d+=2){r.push(i,i+2,i+1,i+1,i+2,i+3),h[l]=d,f[l]=d;for(var p=-1;p<=1;p+=2){h[u]=p;for(var m=-1;m<=1;m+=2)h[c]=m,e.push(h[0],h[1],h[2],f[0],f[1],f[2]),i+=1}var g=u;u=c,c=g}var v=a(t,new 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R=O^1<<m;if(R!==_&&R!==P){j<0&&(j=R);var T=f[R];T[0]<f[j][0]&&(j=R)}}for(var F=-1,m=0;m<3;++m){var R=O^1<<m;if(R!==_&&R!==P&&R!==j){F<0&&(F=R);var T=f[R];T[0]>f[F][0]&&(F=R)}}var N=g;N[0]=N[1]=N[2]=0,N[o.log2(j^O)]=O&j,N[o.log2(O^F)]=O&F;var B=7^F;B===_||B===P?(B=7^j,N[o.log2(F^B)]=B&F):N[o.log2(j^B)]=B&j;for(var U=v,V=_,k=0;k<3;++k)U[k]=V&1<<k?-1:1;return y}e.exports=a;var o=t(\"bit-twiddle\"),s=t(\"gl-mat4/multiply\"),l=(t(\"gl-mat4/invert\"),t(\"split-polygon\")),u=t(\"robust-orientation\"),c=new Array(16),h=(new Array(16),new Array(8)),f=new Array(8),d=new Array(3),p=[0,0,0];!function(){for(var t=0;t<8;++t)h[t]=[1,1,1,1],f[t]=[1,1,1]}();var m=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]],g=[1,1,1],v=[0,0,0],y={cubeEdges:g,axis:v}},{\"bit-twiddle\":60,\"gl-mat4/invert\":165,\"gl-mat4/multiply\":167,\"robust-orientation\":489,\"split-polygon\":507}],136:[function(t,e,r){\"use strict\";function n(t){return t[0]=t[1]=t[2]=0,t}function i(t,e){return 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s=t(\"gl-buffer\"),l=t(\"gl-vao\"),u=t(\"./shaders\").line,c=[0,0,0],h=[0,0,0],f=[0,0,0],d=[0,0,0],p=[1,1],m=a.prototype;m.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,p[0]=this.gl.drawingBufferWidth,p[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=p,this.vao.bind()},m.drawAxisLine=function(t,e,r,a,o){var s=n(h);this.shader.uniforms.majorAxis=h,s[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=s;var l=i(d,r);l[t]+=e[0][t],this.shader.uniforms.offset=l,this.shader.uniforms.lineWidth=o,this.shader.uniforms.color=a;var u=n(f);u[(t+2)%3]=1,this.shader.uniforms.screenAxis=u,this.vao.draw(this.gl.TRIANGLES,6);var u=n(f);u[(t+1)%3]=1,this.shader.uniforms.screenAxis=u,this.vao.draw(this.gl.TRIANGLES,6)},m.drawAxisTicks=function(t,e,r,i,a){if(this.tickCount[t]){var o=n(c);o[t]=1,this.shader.uniforms.majorAxis=o,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=i,this.shader.uniforms.lineWidth=a;var s=n(f);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},m.drawGrid=function(t,e,r,a,o,s){if(this.gridCount[t]){var l=n(h);l[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=l;var u=i(d,a);u[e]+=r[0][e],this.shader.uniforms.offset=u;var p=n(c);p[t]=1,this.shader.uniforms.majorAxis=p;var m=n(f);m[t]=1,this.shader.uniforms.screenAxis=m,this.shader.uniforms.lineWidth=s,this.shader.uniforms.color=o,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},m.drawZero=function(t,e,r,a,o,s){var l=n(h);this.shader.uniforms.majorAxis=l,l[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=l;var u=i(d,a);u[t]+=r[0][t],this.shader.uniforms.offset=u;var c=n(f);c[e]=1,this.shader.uniforms.screenAxis=c,this.shader.uniforms.lineWidth=s,this.shader.uniforms.color=o,this.vao.draw(this.gl.TRIANGLES,6)},m.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{\"./shaders\":137,\"gl-buffer\":141,\"gl-vao\":255}],137:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\");r.line=function(t){return n(t,\"#define GLSLIFY 1\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\",\"precision mediump float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\",null,[{name:\"position\",type:\"vec3\"}])};r.text=function(t){return n(t,\"#define GLSLIFY 1\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvoid main() {  \\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n  mat2 planeXform = scale * mat2(cos(angle), sin(angle),\\n                                -sin(angle), cos(angle));\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n  vec4 worldPosition = model * vec4(dataPosition, 1);\\n  \\n  //Compute clip position\\n  vec4 viewPosition = view * worldPosition;\\n  vec4 clipPosition = projection * viewPosition;\\n  clipPosition /= clipPosition.w;\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec4(viewOffset, 0, 0);\\n\\n  //Done\\n  gl_Position = clipPosition;\\n}\",\"precision mediump float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\",null,[{name:\"position\",type:\"vec3\"}])};r.bg=function(t){return n(t,\"#define GLSLIFY 1\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  if(dot(normal, enable) > 0.0) {\\n    vec3 nPosition = mix(bounds[0], bounds[1], 0.5 * (position + 1.0));\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n  colorChannel = abs(normal);\\n}\",\"precision mediump float;\\n#define 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       "var a=h[r];a||(a=h[r]={});var o=a[e];o||(o=a[e]=i(e,{triangles:!0,font:r,textAlign:\"center\",textBaseline:\"middle\"}));for(var l=(n||12)/12,u=o.positions,c=o.cells,f=0,d=c.length;f<d;++f)for(var p=c[f],m=2;m>=0;--m){var g=u[p[m]];s.push(l*g[0],-l*g[1],t)}}for(var s=(this.gl,[]),l=[0,0,0],u=[0,0,0],c=[0,0,0],f=[0,0,0],d=0;d<3;++d){c[d]=s.length/3|0,o(.5*(t[0][d]+t[1][d]),e[d],r),f[d]=(s.length/3|0)-c[d],l[d]=s.length/3|0;for(var p=0;p<n[d].length;++p)n[d][p].text&&o(n[d][p].x,n[d][p].text,n[d][p].font||a,n[d][p].fontSize||12);u[d]=(s.length/3|0)-l[d]}this.buffer.update(s),this.tickOffset=l,this.tickCount=u,this.labelOffset=c,this.labelCount=f};var p=[0,0,0];f.drawTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=p;a[0]=a[1]=a[2]=0,a[t]=1,this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}};var m=[0,0,0];f.drawLabel=function(t,e,r,n,i){this.labelCount[t]&&(this.shader.uniforms.axis=m,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},f.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this,t(\"_process\"))},{\"./shaders\":137,_process:468,\"gl-buffer\":141,\"gl-vao\":255,\"vectorize-text\":534}],139:[function(t,e,r){\"use strict\";function n(t,e){var r=t+\"\",n=r.indexOf(\".\"),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/a,u=o%a;o<0?(l=0|-Math.ceil(l),u=0|-u):(l=0|Math.floor(l),u|=0);var c=\"\"+l;if(o<0&&(c=\"-\"+c),i){for(var h=\"\"+u;h.length<i;)h=\"0\"+h;return c+\".\"+h}return c}function i(t,e){for(var r=[],i=0;i<3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]<=t[1][i];++o)a.push({x:o*e[i],text:n(e[i],o)});for(var o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:n(e[i],o)});r.push(a)}return r}function a(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}r.create=i,r.equal=a},{}],140:[function(t,e,r){\"use strict\";function n(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}function i(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=p,s=m,l=0;l<3;++l)s[l]=o[l]=r[l];s[3]=o[3]=1,s[a]+=1,h(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,h(o,o,e),o[3]<0&&(t[a]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,c=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(u*u+c*c)}return t}function a(t,e,r,n,a){var h=e.model||f,p=e.view||f,m=e.projection||f,y=t.bounds,a=a||l(h,p,m,y),b=a.axis;a.edges;u(d,p,h),u(d,m,d);for(var x=g,_=0;_<3;++_)x[_].lo=1/0,x[_].hi=-1/0,x[_].pixelsPerDataUnit=1/0;var w=o(c(d,d));c(d,d);for(var M=0;M<3;++M){var k=(M+1)%3,A=(M+2)%3,T=v;t:for(var _=0;_<2;++_){var S=[];if(b[M]<0!=!!_){T[M]=y[_][M];for(var E=0;E<2;++E){T[k]=y[E^_][k];for(var L=0;L<2;++L)T[A]=y[L^E^_][A],S.push(T.slice())}for(var E=0;E<w.length;++E){if(0===S.length)continue t;S=s.positive(S,w[E])}for(var E=0;E<S.length;++E)for(var A=S[E],C=i(v,d,A,r,n),L=0;L<3;++L)x[L].lo=Math.min(x[L].lo,A[L]),x[L].hi=Math.max(x[L].hi,A[L]),L!==M&&(x[L].pixelsPerDataUnit=Math.min(x[L].pixelsPerDataUnit,Math.abs(C[L])))}}}return x}e.exports=a;var o=t(\"extract-frustum-planes\"),s=t(\"split-polygon\"),l=t(\"./lib/cube.js\"),u=t(\"gl-mat4/multiply\"),c=t(\"gl-mat4/transpose\"),h=t(\"gl-vec4/transformMat4\"),f=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),d=new Float32Array(16),p=[0,0,0,1],m=[0,0,0,1],g=[new n(1/0,-1/0,1/0),new n(1/0,-1/0,1/0),new n(1/0,-1/0,1/0)],v=[0,0,0]},{\"./lib/cube.js\":135,\"extract-frustum-planes\":115,\"gl-mat4/multiply\":167,\"gl-mat4/transpose\":175,\"gl-vec4/transformMat4\":261,\"split-polygon\":507}],141:[function(t,e,r){\"use strict\";function n(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}function i(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function a(t,e){for(var r=l.malloc(t.length,e),n=t.length,i=0;i<n;++i)r[i]=t[i];return r}function o(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}function s(t,e,r,i){if(r=r||t.ARRAY_BUFFER,i=i||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(i!==t.DYNAMIC_DRAW&&i!==t.STATIC_DRAW&&i!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var a=t.createBuffer(),o=new n(t,r,a,0,i);return o.update(e),o}var l=t(\"typedarray-pool\"),u=t(\"ndarray-ops\"),c=t(\"ndarray\"),h=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"],f=n.prototype;f.bind=function(){this.gl.bindBuffer(this.type,this.handle)},f.unbind=function(){this.gl.bindBuffer(this.type,null)},f.dispose=function(){this.gl.deleteBuffer(this.handle)},f.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&void 0!==t.shape){var r=t.dtype;if(h.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER){r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\"}if(r===t.dtype&&o(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=i(this.gl,this.type,this.length,this.usage,t.data,e):this.length=i(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var n=l.malloc(t.size,r),s=c(n,t.shape);u.assign(s,t),this.length=e<0?i(this.gl,this.type,this.length,this.usage,n,e):i(this.gl,this.type,this.length,this.usage,n.subarray(0,t.size),e),l.free(n)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?a(t,\"uint16\"):a(t,\"float32\"),this.length=e<0?i(this.gl,this.type,this.length,this.usage,f,e):i(this.gl,this.type,this.length,this.usage,f.subarray(0,t.length),e),l.free(f)}else if(\"object\"==typeof t&&\"number\"==typeof 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n=t(\"./1.0/numbers\");e.exports=function(t){return n[t]}},{\"./1.0/numbers\":142}],144:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.plot=t,this.shader=e,this.bufferHi=r,this.bufferLo=n,this.bounds=[1/0,1/0,-1/0,-1/0],this.numPoints=0,this.color=[0,0,0,1]}function i(t,e){var r=a(t.gl,l.vertex,l.fragment),i=o(t.gl),s=o(t.gl),u=new n(t,r,i,s);return u.update(e),t.addObject(u),u}var a=t(\"gl-shader\"),o=t(\"gl-buffer\"),s=t(\"typedarray-pool\"),l=t(\"./lib/shaders\");e.exports=i;var u=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]],c=n.prototype;c.draw=function(){var t=new Float32Array([0,0]),e=new Float32Array([0,0]),r=new Float32Array([0,0]),n=new Float32Array([0,0]),i=[1,1];return function(){var a=this.plot,o=this.shader,s=this.bounds,l=this.numPoints;if(l){var c=a.gl,h=a.dataBox,f=a.viewBox,d=a.pixelRatio,p=s[2]-s[0],m=s[3]-s[1],g=h[2]-h[0],v=h[3]-h[1],y=2*p/g,b=2*m/v,x=(s[0]-h[0]-.5*g)/p,_=(s[1]-h[1]-.5*v)/m;t[0]=y,t[1]=b,e[0]=y-t[0],e[1]=b-t[1],r[0]=x,r[1]=_,n[0]=x-r[0],n[1]=_-r[1];var w=f[2]-f[0],M=f[3]-f[1];i[0]=2*d/w,i[1]=2*d/M,o.bind(),o.uniforms.scaleHi=t,o.uniforms.scaleLo=e,o.uniforms.translateHi=r,o.uniforms.translateLo=n,o.uniforms.pixelScale=i,o.uniforms.color=this.color,this.bufferLo.bind(),o.attributes.positionLo.pointer(c.FLOAT,!1,16,0),this.bufferHi.bind(),o.attributes.positionHi.pointer(c.FLOAT,!1,16,0),o.attributes.pixelOffset.pointer(c.FLOAT,!1,16,8),c.drawArrays(c.TRIANGLES,0,l*u.length)}}}(),c.drawPick=function(t){return t},c.pick=function(){return null},c.update=function(t){t=t||{};var e,r,n,i=t.positions||[],a=t.errors||[],o=1;\"lineWidth\"in t&&(o=+t.lineWidth);var l=5;\"capSize\"in t&&(l=+t.capSize),this.color=(t.color||[0,0,0,1]).slice();var c=this.bounds=[1/0,1/0,-1/0,-1/0],h=this.numPoints=i.length>>1;for(e=0;e<h;++e)r=i[2*e],n=i[2*e+1],c[0]=Math.min(r,c[0]),c[1]=Math.min(n,c[1]),c[2]=Math.max(r,c[2]),c[3]=Math.max(n,c[3]);c[2]===c[0]&&(c[2]+=1),c[3]===c[1]&&(c[3]+=1);var f=1/(c[2]-c[0]),d=1/(c[3]-c[1]),p=c[0],m=c[1],g=s.mallocFloat64(h*u.length*4),v=s.mallocFloat32(h*u.length*4),y=s.mallocFloat32(h*u.length*4),b=0;for(e=0;e<h;++e){r=i[2*e],n=i[2*e+1];for(var x=a[4*e],_=a[4*e+1],w=a[4*e+2],M=a[4*e+3],k=0;k<u.length;++k){var A=u[k],T=A[0],S=A[1];T<0?T*=x:T>0&&(T*=_),S<0?S*=w:S>0&&(S*=M),g[b++]=f*(r-p+T),g[b++]=d*(n-m+S),g[b++]=o*A[2]+(l+o)*A[4],g[b++]=o*A[3]+(l+o)*A[5]}}for(e=0;e<g.length;e++)v[e]=g[e],y[e]=g[e]-v[e];this.bufferHi.update(v),this.bufferLo.update(y),s.free(g)},c.dispose=function(){this.plot.removeObject(this),this.shader.dispose(),this.bufferHi.dispose(),this.bufferLo.dispose()}},{\"./lib/shaders\":145,\"gl-buffer\":141,\"gl-shader\":239,\"typedarray-pool\":521}],145:[function(t,e,r){e.exports={vertex:\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 positionHi;\\nattribute vec2 positionLo;\\nattribute vec2 pixelOffset;\\n\\nuniform vec2 scaleHi, scaleLo, translateHi, translateLo, pixelScale;\\n\\nvec2 project(vec2 scHi, vec2 trHi, vec2 scLo, vec2 trLo, vec2 posHi, vec2 posLo) {\\n  return (posHi + trHi) * scHi\\n       + (posLo + trLo) * scHi\\n       + (posHi + trHi) * scLo\\n       + (posLo + trLo) * scLo;\\n}\\n\\nvoid main() {\\n  vec3 scrPosition = vec3(\\n         project(scaleHi, translateHi, scaleLo, translateLo, positionHi, positionLo),\\n         1);\\n  gl_Position = vec4(\\n    scrPosition.xy + scrPosition.z * pixelScale * pixelOffset,\\n    0,\\n    scrPosition.z);\\n}\\n\",fragment:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = vec4(color.rgb * color.a, color.a);\\n}\\n\"}},{}],146:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1}function i(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}function a(t,e,r,n){for(var i=f[n],a=0;a<i.length;++a){var o=i[a];t.push(e[0],e[1],e[2],r[0],r[1],r[2],r[3],o[0],o[1],o[2])}return i.length}function o(t){var e=t.gl,r=s(e),i=l(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),a=u(e);a.attributes.position.location=0,a.attributes.color.location=1,a.attributes.offset.location=2;var o=new n(e,r,i,a);return o.update(t),o}e.exports=o;var s=t(\"gl-buffer\"),l=t(\"gl-vao\"),u=t(\"./shaders/index\"),c=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],h=n.prototype;h.isOpaque=function(){return this.opacity>=1},h.isTransparent=function(){return this.opacity<1},h.drawTransparent=h.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||c,i=r.projection=t.projection||c;r.model=t.model||c,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],o=n[13],s=n[14],l=n[15],u=this.pixelRatio*(i[3]*a+i[7]*o+i[11]*s+i[15]*l)/e.drawingBufferHeight;this.vao.bind();for(var h=0;h<3;++h)e.lineWidth(this.lineWidth[h]),r.capSize=this.capSize[h]*u,e.drawArrays(e.LINES,this.lineOffset[h],this.lineCount[h]);this.vao.unbind()};var f=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=(n+e)%3,o=[0,0,0];o[a]=i,r.push(o)}t[e]=r}return t}();h.update=function(t){t=t||{},\"lineWidth\"in t&&(this.lineWidth=t.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),\"capSize\"in t&&(this.capSize=t.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),\"opacity\"in t&&(this.opacity=t.opacity);var e=t.color||[[0,0,0],[0,0,0],[0,0,0]],r=t.position,n=t.error;if(Array.isArray(e[0])||(e=[e,e,e]),r&&n){var o=[],s=r.length,l=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var u=0;u<3;++u){this.lineOffset[u]=l;t:for(var c=0;c<s;++c){for(var h=r[c],f=0;f<3;++f)if(isNaN(h[f])||!isFinite(h[f]))continue t;var d=n[c],p=e[u];if(Array.isArray(p[0])&&(p=e[c]),3===p.length&&(p=[p[0],p[1],p[2],1]),!isNaN(d[0][u])&&!isNaN(d[1][u])){if(d[0][u]<0){var m=h.slice();m[u]+=d[0][u],o.push(h[0],h[1],h[2],p[0],p[1],p[2],p[3],0,0,0,m[0],m[1],m[2],p[0],p[1],p[2],p[3],0,0,0),i(this.bounds,m),l+=2+a(o,m,p,u)}if(d[1][u]>0){var m=h.slice();m[u]+=d[1][u],o.push(h[0],h[1],h[2],p[0],p[1],p[2],p[3],0,0,0,m[0],m[1],m[2],p[0],p[1],p[2],p[3],0,0,0),i(this.bounds,m),l+=2+a(o,m,p,u)}}}this.lineCount[u]=l-this.lineOffset[u]}this.buffer.update(o)}},h.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},{\"./shaders/index\":147,\"gl-buffer\":141,\"gl-vao\":255}],147:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\");e.exports=function(t){return n(t,\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, offset;\\nattribute vec4 color;\\nuniform mat4 model, view, projection;\\nuniform float capSize;\\nvarying vec4 fragColor;\\nvarying vec3 fragPosition;\\n\\nvoid main() {\\n  vec4 worldPosition  = model * vec4(position, 1.0);\\n  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\\n  gl_Position         = projection * view * worldPosition;\\n  fragColor           = color;\\n  fragPosition        = position;\\n}\",\"precision mediump float;\\n#define GLSLIFY 1\\nuniform vec3 clipBounds[2];\\nuniform float opacity;\\nvarying vec3 fragPosition;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if(any(lessThan(fragPosition, clipBounds[0])) || any(greaterThan(fragPosition, clipBounds[1]))) {\\n    discard;\\n  }\\n  gl_FragColor = opacity * fragColor;\\n}\",null,[{name:\"position\",type:\"vec3\"},{name:\"offset\",type:\"vec3\"},{name:\"color\",type:\"vec4\"}])}},{\"gl-shader\":239}],148:[function(t,e,r){\"use strict\";function n(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function i(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function a(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);y=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(var a=n;a<r;++a)i[a]=t.NONE;y[n]=i}}function o(t){switch(t){case p:throw new Error(\"gl-fbo: Framebuffer unsupported\");case m:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case g:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case v:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function s(t,e,r,n,i,a){if(!n)return null;var o=d(t,e,r,i,n);return o.magFilter=t.NEAREST,o.minFilter=t.NEAREST,o.mipSamples=1,o.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,a,t.TEXTURE_2D,o.handle,0),o}function l(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function u(t){var e=n(t.gl),r=t.gl,a=t.handle=r.createFramebuffer(),u=t._shape[0],c=t._shape[1],h=t.color.length,f=t._ext,d=t._useStencil,p=t._useDepth,m=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,a);for(var g=0;g<h;++g)t.color[g]=s(r,u,c,m,r.RGBA,r.COLOR_ATTACHMENT0+g);0===h?(t._color_rb=l(r,u,c,r.RGBA4,r.COLOR_ATTACHMENT0),f&&f.drawBuffersWEBGL(y[0])):h>1&&f.drawBuffersWEBGL(y[h]);var v=r.getExtension(\"WEBGL_depth_texture\");v?d?t.depth=s(r,u,c,v.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):p&&(t.depth=s(r,u,c,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):p&&d?t._depth_rb=l(r,u,c,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):p?t._depth_rb=l(r,u,c,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=l(r,u,c,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var b=r.checkFramebufferStatus(r.FRAMEBUFFER);if(b!==r.FRAMEBUFFER_COMPLETE){t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null);for(var g=0;g<t.color.length;++g)t.color[g].dispose(),t.color[g]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),i(r,e),o(b)}i(r,e)}function c(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var l=0;l<i;++l)this.color[l]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var c=this,h=[0|e,0|r];Object.defineProperties(h,{0:{get:function(){return c._shape[0]},set:function(t){return c.width=t}},1:{get:function(){return c._shape[1]},set:function(t){return c.height=t}}}),this._shapeVector=h,u(this)}function h(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var a=t.gl,s=a.getParameter(a.MAX_RENDERBUFFER_SIZE);if(e<0||e>s||r<0||r>s)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var l=n(a),u=0;u<t.color.length;++u)t.color[u].shape=t._shape;t._color_rb&&(a.bindRenderbuffer(a.RENDERBUFFER,t._color_rb),a.renderbufferStorage(a.RENDERBUFFER,a.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(a.bindRenderbuffer(a.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?a.renderbufferStorage(a.RENDERBUFFER,a.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?a.renderbufferStorage(a.RENDERBUFFER,a.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&a.renderbufferStorage(a.RENDERBUFFER,a.STENCIL_INDEX,t._shape[0],t._shape[1])),a.bindFramebuffer(a.FRAMEBUFFER,t.handle);var c=a.checkFramebufferStatus(a.FRAMEBUFFER);c!==a.FRAMEBUFFER_COMPLETE&&(t.dispose(),i(a,l),o(c)),i(a,l)}}function f(t,e,r,n){p||(p=t.FRAMEBUFFER_UNSUPPORTED,m=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,g=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,v=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var i=t.getExtension(\"WEBGL_draw_buffers\");if(!y&&i&&a(t,i),Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]),\"number\"!=typeof e)throw new Error(\"gl-fbo: Missing shape parameter\");var o=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>o||r<0||r>o)throw new Error(\"gl-fbo: Parameters are too large for FBO\");n=n||{};var s=1;if(\"color\"in n){if((s=Math.max(0|n.color,0))<0)throw new Error(\"gl-fbo: Must specify a nonnegative number of colors\");if(s>1){if(!i)throw new Error(\"gl-fbo: Multiple draw buffer extension not supported\");if(s>t.getParameter(i.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error(\"gl-fbo: Context does not support \"+s+\" draw buffers\")}}var l=t.UNSIGNED_BYTE,u=t.getExtension(\"OES_texture_float\");if(n.float&&s>0){if(!u)throw new Error(\"gl-fbo: Context does not support floating point textures\");l=t.FLOAT}else n.preferFloat&&s>0&&u&&(l=t.FLOAT);var h=!0;\"depth\"in n&&(h=!!n.depth);var f=!1;return\"stencil\"in n&&(f=!!n.stencil),new c(t,e,r,l,s,h,f,i)}var d=t(\"gl-texture2d\");e.exports=f;var p,m,g,v,y=null,b=c.prototype;Object.defineProperties(b,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return h(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return t|=0,h(this,t,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,h(this,this._shape[0],t),t},enumerable:!1}}),b.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},b.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{\"gl-texture2d\":251}],149:[function(t,e,r){function n(t,e,r){\"use strict\";var n=o(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===a.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var u=i(\"Error compiling %s shader %s:\\n\",l,n),c=i(\"%s%s\",u,t),h=t.split(\"\\n\"),f={},d=0;d<h.length;d++){var p=h[d];if(\"\"!==p){var m=parseInt(p.split(\":\")[2]);if(isNaN(m))throw new Error(i(\"Could not parse error: %s\",p));f[m]=p}}for(var g=s(e).split(\"\\n\"),d=0;d<g.length;d++)if(f[d+3]||f[d+2]||f[d+1]){var v=g[d];if(u+=v+\"\\n\",f[d+1]){var y=f[d+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),u+=i(\"^^^ %s\\n\\n\",y)}}return{long:u.trim(),short:c.trim()}}var i=t(\"sprintf-js\").sprintf,a=t(\"gl-constants/lookup\"),o=t(\"glsl-shader-name\"),s=t(\"add-line-numbers\");e.exports=n},{\"add-line-numbers\":35,\"gl-constants/lookup\":143,\"glsl-shader-name\":263,\"sprintf-js\":508}],150:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}function i(t,e){var r=t.gl,i=l(r,c.vertex,c.fragment),a=l(r,c.pickVertex,c.pickFragment),o=u(r),s=u(r),h=u(r),f=u(r),d=new n(t,i,a,o,s,h,f);return d.update(e),t.addObject(d),d}e.exports=i;var a=t(\"binary-search-bounds\"),o=t(\"iota-array\"),s=t(\"typedarray-pool\"),l=t(\"gl-shader\"),u=t(\"gl-buffer\"),c=t(\"./lib/shaders\"),h=n.prototype,f=[0,0,1,0,0,1,1,0,1,1,0,1];h.draw=function(){var t=[1,0,0,0,1,0,0,0,1];return function(){var e=this.plot,r=this.shader,n=this.bounds,i=this.numVertices;if(!(i<=0)){var a=e.gl,o=e.dataBox,s=n[2]-n[0],l=n[3]-n[1],u=o[2]-o[0],c=o[3]-o[1];t[0]=2*s/u,t[4]=2*l/c,t[6]=2*(n[0]-o[0])/u-1,t[7]=2*(n[1]-o[1])/c-1,r.bind();var h=r.uniforms;h.viewTransform=t,h.shape=this.shape;var f=r.attributes;this.positionBuffer.bind(),f.position.pointer(),this.weightBuffer.bind(),f.weight.pointer(a.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),f.color.pointer(a.UNSIGNED_BYTE,!0),a.drawArrays(a.TRIANGLES,0,i)}}}(),h.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,u=a[2]-a[0],c=a[3]-a[1],h=l[2]-l[0],f=l[3]-l[1];t[0]=2*u/h,t[4]=2*c/f,t[6]=2*(a[0]-l[0])/h-1,t[7]=2*(a[1]-l[1])/f-1;for(var d=0;d<4;++d)e[d]=r>>8*d&255;this.pickOffset=r,i.bind();var p=i.uniforms;p.viewTransform=t,p.pickOffset=e,p.shape=this.shape;var m=i.attributes;return this.positionBuffer.bind(),m.position.pointer(),this.weightBuffer.bind(),m.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),m.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),h.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},h.update=function(t){t=t||{};var e=t.shape||[0,0],r=t.x||o(e[0]),n=t.y||o(e[1]),i=t.z||new Float32Array(e[0]*e[1]);this.xData=r,this.yData=n;var l=t.colorLevels||[0],u=t.colorValues||[0,0,0,1],c=l.length,h=this.bounds,d=h[0]=r[0],p=h[1]=n[0],m=h[2]=r[r.length-1],g=h[3]=n[n.length-1],v=1/(m-d),y=1/(g-p),b=e[0],x=e[1];this.shape=[b,x];var _=(b-1)*(x-1)*(f.length>>>1);this.numVertices=_;for(var w=s.mallocUint8(4*_),M=s.mallocFloat32(2*_),k=s.mallocUint8(2*_),A=s.mallocUint32(_),T=0,S=0;S<x-1;++S)for(var E=y*(n[S]-p),L=y*(n[S+1]-p),C=0;C<b-1;++C)for(var z=v*(r[C]-d),D=v*(r[C+1]-d),I=0;I<f.length;I+=2){var P,O,j,R,F=f[I],N=f[I+1],B=(S+N)*b+(C+F),U=i[B],V=a.le(l,U);if(V<0)P=u[0],O=u[1],j=u[2],R=u[3];else if(V===c-1)P=u[4*c-4],O=u[4*c-3],j=u[4*c-2],R=u[4*c-1];else{var H=(U-l[V])/(l[V+1]-l[V]),q=1-H,G=4*V,Y=4*(V+1);P=q*u[G]+H*u[Y],O=q*u[G+1]+H*u[Y+1],j=q*u[G+2]+H*u[Y+2],R=q*u[G+3]+H*u[Y+3]}w[4*T]=255*P,w[4*T+1]=255*O,w[4*T+2]=255*j,w[4*T+3]=255*R,\n",
       "M[2*T]=.5*z+.5*D,M[2*T+1]=.5*E+.5*L,k[2*T]=F,k[2*T+1]=N,A[T]=S*b+C,T+=1}this.positionBuffer.update(M),this.weightBuffer.update(k),this.colorBuffer.update(w),this.idBuffer.update(A),s.free(M),s.free(w),s.free(k),s.free(A)},h.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":151,\"binary-search-bounds\":152,\"gl-buffer\":141,\"gl-shader\":239,\"iota-array\":276,\"typedarray-pool\":521}],151:[function(t,e,r){\"use strict\";e.exports={fragment:\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\",vertex:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\",pickFragment:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\",pickVertex:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"}},{}],152:[function(t,e,r){arguments[4][77][0].apply(r,arguments)},{dup:77}],153:[function(t,e,r){r.lineVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aHi, aLo, dHi, dLo;\\n\\nuniform vec2 scaleHi, translateHi, scaleLo, translateLo, screenShape;\\nuniform float width;\\n\\nvarying vec2 direction;\\n\\n\\nvec2 project_1_0(vec2 scHi, vec2 trHi, vec2 scLo, vec2 trLo, vec2 posHi, vec2 posLo) {\\n  return (posHi + trHi) * scHi\\n       + (posLo + trLo) * scHi\\n       + (posHi + trHi) * scLo\\n       + (posLo + trLo) * scLo;\\n}\\n\\n\\nvec2 project_2_1(vec2 scHi, vec2 scLo, vec2 posHi, vec2 posLo) {\\n  return scHi * posHi\\n       + scLo * posHi\\n       + scHi * posLo\\n       + scLo * posLo;\\n}\\n\\nvoid main() {\\n  vec2 p = project_1_0(scaleHi, translateHi, scaleLo, translateLo, aHi, aLo);\\n  vec2 dir = project_2_1(scaleHi, scaleLo, dHi, dLo);\\n  vec2 n = 0.5 * width * normalize(screenShape.yx * vec2(dir.y, -dir.x)) / screenShape.xy;\\n  vec2 tangent = normalize(screenShape.xy * dir);\\n  if(dir.x < 0.0 || (dir.x == 0.0 && dir.y < 0.0)) {\\n    direction = -tangent;\\n  } else {\\n    direction = tangent;\\n  }\\n  gl_Position = vec4(p + n, 0.0, 1.0);\\n}\",r.lineFragment=\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nuniform vec2 screenShape;\\nuniform sampler2D dashPattern;\\nuniform float dashLength;\\n\\nvarying vec2 direction;\\n\\nvoid main() {\\n  float t = fract(dot(direction, gl_FragCoord.xy) / dashLength);\\n  vec4 pcolor = color * texture2D(dashPattern, vec2(t, 0.0)).r;\\n  gl_FragColor = vec4(pcolor.rgb * pcolor.a, pcolor.a);\\n}\",r.mitreVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aHi, aLo;\\n\\nuniform vec2 scaleHi, translateHi, scaleLo, translateLo;\\nuniform float radius;\\n\\n\\nvec2 project_1_0(vec2 scHi, vec2 trHi, vec2 scLo, vec2 trLo, vec2 posHi, vec2 posLo) {\\n  return (posHi + trHi) * scHi\\n       + (posLo + trLo) * scHi\\n       + (posHi + trHi) * scLo\\n       + (posLo + trLo) * scLo;\\n}\\n\\n\\nvoid main() {\\n  vec2 p = project_1_0(scaleHi, translateHi, scaleLo, translateLo, aHi, aLo);\\n  gl_Position = vec4(p, 0.0, 1.0);\\n  gl_PointSize = radius;\\n}\",r.mitreFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  if(length(gl_PointCoord.xy - 0.5) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = vec4(color.rgb, color.a);\\n}\",r.pickVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aHi, aLo, dHi;\\nattribute vec4 pick0, pick1;\\n\\nuniform vec2 scaleHi, translateHi, scaleLo, translateLo, screenShape;\\nuniform float width;\\n\\nvarying vec4 pickA, pickB;\\n\\n\\nvec2 project_1_0(vec2 scHi, vec2 trHi, vec2 scLo, vec2 trLo, vec2 posHi, vec2 posLo) {\\n  return (posHi + trHi) * scHi\\n       + (posLo + trLo) * scHi\\n       + (posHi + trHi) * scLo\\n       + (posLo + trLo) * scLo;\\n}\\n\\n\\nvoid main() {\\n  vec2 p = project_1_0(scaleHi, translateHi, scaleLo, translateLo, aHi, aLo);\\n  vec2 n = width * normalize(screenShape.yx * vec2(dHi.y, -dHi.x)) / screenShape.xy;\\n  gl_Position = vec4(p + n, 0, 1);\\n  pickA = pick0;\\n  pickB = pick1;\\n}\",r.pickFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 pickOffset;\\n\\nvarying vec4 pickA, pickB;\\n\\nvoid main() {\\n  vec4 fragId = vec4(pickA.xyz, 0.0);\\n  if(pickB.w > pickA.w) {\\n    fragId.xyz = pickB.xyz;\\n  }\\n\\n  fragId += pickOffset;\\n\\n  fragId.y += floor(fragId.x / 256.0);\\n  fragId.x -= floor(fragId.x / 256.0) * 256.0;\\n\\n  fragId.z += floor(fragId.y / 256.0);\\n  fragId.y -= floor(fragId.y / 256.0) * 256.0;\\n\\n  fragId.w += floor(fragId.z / 256.0);\\n  fragId.z -= floor(fragId.z / 256.0) * 256.0;\\n\\n  gl_FragColor = fragId / 255.0;\\n}\",r.fillVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aHi, aLo, dHi;\\n\\nuniform vec2 scaleHi, translateHi, scaleLo, translateLo, projectAxis;\\nuniform float projectValue, depth;\\n\\n\\nvec2 project_1_0(vec2 scHi, vec2 trHi, vec2 scLo, vec2 trLo, vec2 posHi, vec2 posLo) {\\n  return (posHi + trHi) * scHi\\n       + (posLo + trLo) * scHi\\n       + (posHi + trHi) * scLo\\n       + (posLo + trLo) * scLo;\\n}\\n\\n\\nvoid main() {\\n  vec2 p = project_1_0(scaleHi, translateHi, scaleLo, translateLo, aHi, aLo);\\n  if(dHi.y < 0.0 || (dHi.y == 0.0 && dHi.x < 0.0)) {\\n    if(dot(p, projectAxis) < projectValue) {\\n      p = p * (1.0 - abs(projectAxis)) + projectAxis * projectValue;\\n    }\\n  }\\n  gl_Position = vec4(p, depth, 1);\\n}\",r.fillFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = vec4(color.rgb * color.a, color.a);\\n}\"},{}],154:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s,l){this.plot=t,this.dashPattern=e,this.lineBufferHi=r,this.lineBufferLo=n,this.pickBuffer=i,this.lineShader=a,this.mitreShader=o,this.fillShader=s,this.pickShader=l,this.usingDashes=!1,this.bounds=[1/0,1/0,-1/0,-1/0],this.width=1,this.color=[0,0,1,1],this.fill=[!1,!1,!1,!1],this.fillColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.data=null,this.numPoints=0,this.vertCount=0,this.pickOffset=0}function i(t){return t.map(function(t){return t.slice()})}function a(t,e){var r=t.gl,i=s(r),a=s(r),u=s(r),c=l(r,[1,1]),f=o(r,h.lineVertex,h.lineFragment),d=o(r,h.mitreVertex,h.mitreFragment),p=o(r,h.fillVertex,h.fillFragment),m=o(r,h.pickVertex,h.pickFragment),g=new n(t,c,i,a,u,f,d,p,m);return t.addObject(g),g.update(e),g}e.exports=a;var o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"gl-texture2d\"),u=t(\"ndarray\"),c=t(\"typedarray-pool\"),h=t(\"./lib/shaders\"),f=n.prototype;f.setProjectionModel=function(){var t={scaleHi:new Float32Array([0,0]),scaleLo:new Float32Array([0,0]),translateHi:new Float32Array([0,0]),translateLo:new Float32Array([0,0]),screenShape:[0,0]};return function(){var e=this.bounds,r=this.plot.viewBox,n=this.plot.dataBox,i=e[2]-e[0],a=e[3]-e[1],o=n[2]-n[0],s=n[3]-n[1],l=r[2]-r[0],u=r[3]-r[1],c=2*i/o,h=2*a/s,f=(e[0]-n[0]-.5*o)/i,d=(e[1]-n[1]-.5*s)/a;return t.scaleHi[0]=c,t.scaleHi[1]=h,t.scaleLo[0]=c-t.scaleHi[0],t.scaleLo[1]=h-t.scaleHi[1],t.translateHi[0]=f,t.translateHi[1]=d,t.translateLo[0]=f-t.translateHi[0],t.translateLo[1]=d-t.translateHi[1],t.screenShape[0]=l,t.screenShape[1]=u,t}}(),f.setProjectionUniforms=function(t,e){t.scaleHi=e.scaleHi,t.scaleLo=e.scaleLo,t.translateHi=e.translateHi,t.translateLo=e.translateLo,t.screenShape=e.screenShape},f.draw=function(){var t=[1,0],e=[-1,0],r=[0,1],n=[0,-1];return function(){var i=this.vertCount;if(i){var a=this.setProjectionModel(),o=this.plot,s=this.width,l=o.gl,u=o.pixelRatio,c=this.color,h=this.fillShader.attributes;this.lineBufferLo.bind(),h.aLo.pointer(l.FLOAT,!1,16,0),this.lineBufferHi.bind();var f=this.fill;if(f[0]||f[1]||f[2]||f[3]){var d=this.fillShader;d.bind();var p=d.uniforms;this.setProjectionUniforms(p,a),p.depth=o.nextDepthValue(),h.aHi.pointer(l.FLOAT,!1,16,0),h.dHi.pointer(l.FLOAT,!1,16,8),l.depthMask(!0),l.enable(l.DEPTH_TEST);var m=this.fillColor;f[0]&&(p.color=m[0],p.projectAxis=e,p.projectValue=1,l.drawArrays(l.TRIANGLES,0,i)),f[1]&&(p.color=m[1],p.projectAxis=n,p.projectValue=1,l.drawArrays(l.TRIANGLES,0,i)),f[2]&&(p.color=m[2],p.projectAxis=t,p.projectValue=1,l.drawArrays(l.TRIANGLES,0,i)),f[3]&&(p.color=m[3],p.projectAxis=r,p.projectValue=1,l.drawArrays(l.TRIANGLES,0,i)),l.depthMask(!1),l.disable(l.DEPTH_TEST)}var g=this.lineShader;g.bind(),this.lineBufferLo.bind(),g.attributes.aLo.pointer(l.FLOAT,!1,16,0),g.attributes.dLo.pointer(l.FLOAT,!1,16,8),this.lineBufferHi.bind();var v=g.uniforms;this.setProjectionUniforms(v,a),v.color=c,v.width=s*u,v.dashPattern=this.dashPattern.bind(),v.dashLength=this.dashLength*u;var y=g.attributes;if(y.aHi.pointer(l.FLOAT,!1,16,0),y.dHi.pointer(l.FLOAT,!1,16,8),l.drawArrays(l.TRIANGLES,0,i),s>2&&!this.usingDashes){var b=this.mitreShader;this.lineBufferLo.bind(),b.attributes.aLo.pointer(l.FLOAT,!1,48,0),this.lineBufferHi.bind(),b.bind();var x=b.uniforms;this.setProjectionUniforms(x,a),x.color=c,x.radius=s*u,b.attributes.aHi.pointer(l.FLOAT,!1,48,0),l.drawArrays(l.POINTS,0,i/3|0)}}}}(),f.drawPick=function(){var t=[0,0,0,0];return function(e){var r=this.vertCount,n=this.numPoints;if(this.pickOffset=e,!r)return e+n;var i=this.setProjectionModel(),a=this.plot,o=this.width,s=a.gl,l=a.pickPixelRatio,u=this.pickShader,c=this.pickBuffer;t[0]=255&e,t[1]=e>>>8&255,t[2]=e>>>16&255,t[3]=e>>>24,u.bind();var h=u.uniforms;this.setProjectionUniforms(h,i),h.width=o*l,h.pickOffset=t;var f=u.attributes;return this.lineBufferHi.bind(),f.aHi.pointer(s.FLOAT,!1,16,0),f.dHi.pointer(s.FLOAT,!1,16,8),this.lineBufferLo.bind(),f.aLo.pointer(s.FLOAT,!1,16,0),c.bind(),f.pick0.pointer(s.UNSIGNED_BYTE,!1,8,0),f.pick1.pointer(s.UNSIGNED_BYTE,!1,8,4),s.drawArrays(s.TRIANGLES,0,r),e+n}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.numPoints;if(r<n||r>=n+i)return null;var a=r-n,o=this.data;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}},f.update=function(t){t=t||{};var e,r,n,a,o,s=this.plot.gl;this.color=(t.color||[0,0,1,1]).slice(),this.width=+(t.width||1),this.fill=(t.fill||[!1,!1,!1,!1]).slice(),this.fillColor=i(t.fillColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var h=t.dashes||[1],f=0;for(e=0;e<h.length;++e)f+=h[e];var d=c.mallocUint8(f);n=0;var p=255;for(e=0;e<h.length;++e){for(r=0;r<h[e];++r)d[n++]=p;p^=255}this.dashPattern.dispose(),this.usingDashes=h.length>1,this.dashPattern=l(s,u(d,[f,1,4],[1,0,0])),this.dashPattern.minFilter=s.NEAREST,this.dashPattern.magFilter=s.NEAREST,this.dashLength=f,c.free(d);var m=t.positions;this.data=m;var g=this.bounds;g[0]=g[1]=1/0,g[2]=g[3]=-1/0;var v=this.numPoints=m.length>>>1;if(0!==v){for(e=0;e<v;++e)a=m[2*e],o=m[2*e+1],isNaN(a)||isNaN(o)||(g[0]=Math.min(g[0],a),g[1]=Math.min(g[1],o),g[2]=Math.max(g[2],a),g[3]=Math.max(g[3],o));g[0]===g[2]&&(g[2]+=1),g[3]===g[1]&&(g[3]+=1);var y=c.mallocFloat64(24*(v-1)),b=c.mallocFloat32(24*(v-1)),x=c.mallocFloat32(24*(v-1)),_=c.mallocUint32(12*(v-1)),w=b.length,M=_.length;n=v;for(var k=0;n>1;){var A=--n;a=m[2*n],o=m[2*n+1];var T=A-1,S=m[2*T],E=m[2*T+1];if(!(isNaN(a)||isNaN(o)||isNaN(S)||isNaN(E))){k+=1,a=(a-g[0])/(g[2]-g[0]),o=(o-g[1])/(g[3]-g[1]),S=(S-g[0])/(g[2]-g[0]),E=(E-g[1])/(g[3]-g[1]);var L=S-a,C=E-o,z=A|1<<24,D=A-1,I=A,P=A-1|1<<24;y[--w]=-C,y[--w]=-L,y[--w]=o,y[--w]=a,_[--M]=z,_[--M]=D,y[--w]=C,y[--w]=L,y[--w]=E,y[--w]=S,_[--M]=I,_[--M]=P,y[--w]=-C,y[--w]=-L,y[--w]=E,y[--w]=S,_[--M]=I,_[--M]=P,y[--w]=C,y[--w]=L,y[--w]=E,y[--w]=S,_[--M]=I,_[--M]=P,y[--w]=-C,y[--w]=-L,y[--w]=o,y[--w]=a,_[--M]=z,_[--M]=D,y[--w]=C,y[--w]=L,y[--w]=o,y[--w]=a,_[--M]=z,_[--M]=D}}for(e=0;e<y.length;e++)b[e]=y[e],x[e]=y[e]-b[e];this.vertCount=6*k,this.lineBufferHi.update(b.subarray(w)),this.lineBufferLo.update(x.subarray(w)),this.pickBuffer.update(_.subarray(M)),c.free(y),c.free(b),c.free(x),c.free(_)}},f.dispose=function(){this.plot.removeObject(this),this.lineBufferLo.dispose(),this.lineBufferHi.dispose(),this.pickBuffer.dispose(),this.lineShader.dispose(),this.mitreShader.dispose(),this.fillShader.dispose(),this.pickShader.dispose(),this.dashPattern.dispose()}},{\"./lib/shaders\":153,\"gl-buffer\":141,\"gl-shader\":239,\"gl-texture2d\":251,ndarray:449,\"typedarray-pool\":521}],155:[function(t,e,r){var n=t(\"gl-shader\"),i=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvoid main() {\\n  vec4 projected = projection * view * model * vec4(position, 1.0);\\n  vec4 tangentClip = projection * view * model * vec4(nextPosition - position, 0.0);\\n  vec2 tangent = normalize(screenShape * tangentClip.xy);\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(tangent.y, -tangent.x) / screenShape;\\n\\n  gl_Position = vec4(projected.xy + projected.w * offset, projected.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\",a=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];r.createShader=function(t){return n(t,i,\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if(any(lessThan(worldPosition, clipBounds[0])) || any(greaterThan(worldPosition, clipBounds[1]))) {\\n    discard;\\n  }\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\",null,a)},r.createPickShader=function(t){return n(t,i,\"precision mediump float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\nlowp vec4 encode_float_1_0(highp float v) {\\n  highp float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  highp vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  highp float e = floor(log2(av));\\n  highp float m = av * pow(2.0, -e) - 1.0;\\n  \\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n  \\n  //Unpack exponent\\n  highp float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0; \\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\n\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if(any(lessThan(worldPosition, clipBounds[0])) || any(greaterThan(worldPosition, clipBounds[1]))) {\\n    discard;\\n  }\\n  gl_FragColor = vec4(pickId/255.0, encode_float_1_0(pixelArcLength).xyz);\\n}\",null,a)}},{\"gl-shader\":239}],156:[function(t,e,r){\"use strict\";function n(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function i(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function a(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function o(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.dirty=!0,this.pixelRatio=1}function s(t){var e=t.gl||t.scene&&t.scene.gl,r=m(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var n=g(e);n.attributes.position.location=0,n.attributes.nextPosition.location=1,n.attributes.arcLength.location=2,n.attributes.lineWidth.location=3,n.attributes.color.location=4;for(var i=l(e),a=u(e,[{buffer:i,size:3,offset:0,stride:48},{buffer:i,size:3,offset:12,stride:48},{buffer:i,size:1,offset:24,stride:48},{buffer:i,size:1,offset:28,stride:48},{buffer:i,size:4,offset:32,stride:48}]),s=d(new Array(1024),[256,1,4]),h=0;h<1024;++h)s.data[h]=255;var f=c(e,s);f.wrap=e.REPEAT;var p=new o(e,r,n,i,a,f);return p.update(t),p}e.exports=s;var l=t(\"gl-buffer\"),u=t(\"gl-vao\"),c=t(\"gl-texture2d\"),h=t(\"glsl-read-float\"),f=t(\"binary-search-bounds\"),d=t(\"ndarray\"),p=t(\"./lib/shaders\"),m=p.createShader,g=p.createPickShader,v=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],y=o.prototype;y.isTransparent=function(){return this.opacity<1},y.isOpaque=function(){return this.opacity>=1},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.draw=function(t){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||v,view:t.view||v,projection:t.projection||v,clipBounds:i(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount)},y.drawPick=function(t){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||v,view:t.view||v,projection:t.projection||v,pickId:this.pickId,clipBounds:i(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount)},y.update=function(t){var e,r;this.dirty=!0;var i=!!t.connectGaps;\"dashScale\"in t&&(this.dashScale=t.dashScale),\"opacity\"in t&&(this.opacity=+t.opacity);var a=t.position||t.positions;if(a){var o=t.color||t.colors||[0,0,0,1],s=t.lineWidth||1,l=[],u=[],c=[],h=0,p=0,m=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],g=!1;t:for(e=1;e<a.length;++e){var v=a[e-1],y=a[e];for(u.push(h),c.push(v.slice()),r=0;r<3;++r){if(isNaN(v[r])||isNaN(y[r])||!isFinite(v[r])||!isFinite(y[r])){if(!i&&l.length>0){for(var b=0;b<24;++b)l.push(l[l.length-12]);p+=2,g=!0}continue t}m[0][r]=Math.min(m[0][r],v[r],y[r]),m[1][r]=Math.max(m[1][r],v[r],y[r])}var 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r=e[0],n=e[1],i=e[2],a=e[3],o=r*a-i*n;return o?(o=1/o,t[0]=a*o,t[1]=-n*o,t[2]=-i*o,t[3]=r*o,t):null}e.exports=n},{}],158:[function(t,e,r){function n(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],u=e[7],c=e[8],h=c*o-s*u,f=-c*a+s*l,d=u*a-o*l,p=r*h+n*f+i*d;return p?(p=1/p,t[0]=h*p,t[1]=(-c*n+i*u)*p,t[2]=(s*n-i*o)*p,t[3]=f*p,t[4]=(c*r-i*l)*p,t[5]=(-s*r+i*a)*p,t[6]=d*p,t[7]=(-u*r+n*l)*p,t[8]=(o*r-n*a)*p,t):null}e.exports=n},{}],159:[function(t,e,r){function n(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}e.exports=n},{}],160:[function(t,e,r){function n(){var t=new Float32Array(16);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}e.exports=n},{}],161:[function(t,e,r){function n(t){var e=t[0],r=t[1],n=t[2],i=t[3],a=t[4],o=t[5],s=t[6],l=t[7],u=t[8],c=t[9],h=t[10],f=t[11],d=t[12],p=t[13],m=t[14],g=t[15];return(e*o-r*a)*(h*g-f*m)-(e*s-n*a)*(c*g-f*p)+(e*l-i*a)*(c*m-h*p)+(r*s-n*o)*(u*g-f*d)-(r*l-i*o)*(u*m-h*d)+(n*l-i*s)*(u*p-c*d)}e.exports=n},{}],162:[function(t,e,r){function n(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,u=r*o,c=n*o,h=n*s,f=i*o,d=i*s,p=i*l,m=a*o,g=a*s,v=a*l;return t[0]=1-h-p,t[1]=c+v,t[2]=f-g,t[3]=0,t[4]=c-v,t[5]=1-u-p,t[6]=d+m,t[7]=0,t[8]=f+g,t[9]=d-m,t[10]=1-u-h,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}e.exports=n},{}],163:[function(t,e,r){function n(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,u=a+a,c=n*s,h=n*l,f=n*u,d=i*l,p=i*u,m=a*u,g=o*s,v=o*l,y=o*u;return t[0]=1-(d+m),t[1]=h+y,t[2]=f-v,t[3]=0,t[4]=h-y,t[5]=1-(c+m),t[6]=p+g,t[7]=0,t[8]=f+v,t[9]=p-g,t[10]=1-(c+d),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}e.exports=n},{}],164:[function(t,e,r){function n(t){return 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Math.abs(m-_)<1e-6&&Math.abs(g-w)<1e-6&&Math.abs(v-M)<1e-6?i(t):(h=m-_,f=g-w,d=v-M,p=1/Math.sqrt(h*h+f*f+d*d),h*=p,f*=p,d*=p,a=b*d-x*f,o=x*h-y*d,s=y*f-b*h,p=Math.sqrt(a*a+o*o+s*s),p?(p=1/p,a*=p,o*=p,s*=p):(a=0,o=0,s=0),l=f*s-d*o,u=d*a-h*s,c=h*o-f*a,p=Math.sqrt(l*l+u*u+c*c),p?(p=1/p,l*=p,u*=p,c*=p):(l=0,u=0,c=0),t[0]=a,t[1]=l,t[2]=h,t[3]=0,t[4]=o,t[5]=u,t[6]=f,t[7]=0,t[8]=s,t[9]=c,t[10]=d,t[11]=0,t[12]=-(a*m+o*g+s*v),t[13]=-(l*m+u*g+c*v),t[14]=-(h*m+f*g+d*v),t[15]=1,t)}var i=t(\"./identity\");e.exports=n},{\"./identity\":164}],167:[function(t,e,r){function n(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],h=e[8],f=e[9],d=e[10],p=e[11],m=e[12],g=e[13],v=e[14],y=e[15],b=r[0],x=r[1],_=r[2],w=r[3];return t[0]=b*n+x*s+_*h+w*m,t[1]=b*i+x*l+_*f+w*g,t[2]=b*a+x*u+_*d+w*v,t[3]=b*o+x*c+_*p+w*y,b=r[4],x=r[5],_=r[6],w=r[7],t[4]=b*n+x*s+_*h+w*m,t[5]=b*i+x*l+_*f+w*g,t[6]=b*a+x*u+_*d+w*v,t[7]=b*o+x*c+_*p+w*y,b=r[8],x=r[9],_=r[10],w=r[11],t[8]=b*n+x*s+_*h+w*m,t[9]=b*i+x*l+_*f+w*g,t[10]=b*a+x*u+_*d+w*v,t[11]=b*o+x*c+_*p+w*y,b=r[12],x=r[13],_=r[14],w=r[15],t[12]=b*n+x*s+_*h+w*m,t[13]=b*i+x*l+_*f+w*g,t[14]=b*a+x*u+_*d+w*v,t[15]=b*o+x*c+_*p+w*y,t}e.exports=n},{}],168:[function(t,e,r){function n(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}e.exports=n},{}],169:[function(t,e,r){function n(t,e,r,n){var i,a,o,s,l,u,c,h,f,d,p,m,g,v,y,b,x,_,w,M,k,A,T,S,E=n[0],L=n[1],C=n[2],z=Math.sqrt(E*E+L*L+C*C);return Math.abs(z)<1e-6?null:(z=1/z,E*=z,L*=z,C*=z,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],u=e[2],c=e[3],h=e[4],f=e[5],d=e[6],p=e[7],m=e[8],g=e[9],v=e[10],y=e[11],b=E*E*o+a,x=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,M=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,T=L*C*o-E*i,S=C*C*o+a,t[0]=s*b+h*x+m*_,t[1]=l*b+f*x+g*_,t[2]=u*b+d*x+v*_,t[3]=c*b+p*x+y*_,t[4]=s*w+h*M+m*k,t[5]=l*w+f*M+g*k,t[6]=u*w+d*M+v*k,t[7]=c*w+p*M+y*k,t[8]=s*A+h*T+m*S,t[9]=l*A+f*T+g*S,t[10]=u*A+d*T+v*S,t[11]=c*A+p*T+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t)}e.exports=n},{}],170:[function(t,e,r){function n(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],u=e[8],c=e[9],h=e[10],f=e[11];return e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[4]=a*i+u*n,t[5]=o*i+c*n,t[6]=s*i+h*n,t[7]=l*i+f*n,t[8]=u*i-a*n,t[9]=c*i-o*n,t[10]=h*i-s*n,t[11]=f*i-l*n,t}e.exports=n},{}],171:[function(t,e,r){function n(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[8],c=e[9],h=e[10],f=e[11];return e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i-u*n,t[1]=o*i-c*n,t[2]=s*i-h*n,t[3]=l*i-f*n,t[8]=a*n+u*i,t[9]=o*n+c*i,t[10]=s*n+h*i,t[11]=l*n+f*i,t}e.exports=n},{}],172:[function(t,e,r){function n(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[4],c=e[5],h=e[6],f=e[7];return e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i+u*n,t[1]=o*i+c*n,t[2]=s*i+h*n,t[3]=l*i+f*n,t[4]=u*i-a*n,t[5]=c*i-o*n,t[6]=h*i-s*n,t[7]=f*i-l*n,t}e.exports=n},{}],173:[function(t,e,r){function n(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}e.exports=n},{}],174:[function(t,e,r){function n(t,e,r){var n,i,a,o,s,l,u,c,h,f,d,p,m=r[0],g=r[1],v=r[2];return e===t?(t[12]=e[0]*m+e[4]*g+e[8]*v+e[12],t[13]=e[1]*m+e[5]*g+e[9]*v+e[13],t[14]=e[2]*m+e[6]*g+e[10]*v+e[14],t[15]=e[3]*m+e[7]*g+e[11]*v+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],h=e[8],f=e[9],d=e[10],p=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=u,t[7]=c,t[8]=h,t[9]=f,t[10]=d,t[11]=p,t[12]=n*m+s*g+h*v+e[12],t[13]=i*m+l*g+f*v+e[13],t[14]=a*m+u*g+d*v+e[14],t[15]=o*m+c*g+p*v+e[15]),t}e.exports=n},{}],175:[function(t,e,r){function n(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}e.exports=n},{}],176:[function(t,e,r){\"use strict\";function n(t,e){switch(e.length){case 0:break;case 1:t[0]=1/e[0];break;case 4:i(t,e);break;case 9:a(t,e);break;case 16:o(t,e);break;default:throw new Error(\"currently supports matrices up to 4x4\")}return t}e.exports=n;var i=t(\"gl-mat2/invert\"),a=t(\"gl-mat3/invert\"),o=t(\"gl-mat4/invert\")},{\"gl-mat2/invert\":157,\"gl-mat3/invert\":158,\"gl-mat4/invert\":165}],177:[function(t,e,r){r.glMatrix=t(\"./gl-matrix/common.js\"),r.mat2=t(\"./gl-matrix/mat2.js\"),r.mat2d=t(\"./gl-matrix/mat2d.js\"),r.mat3=t(\"./gl-matrix/mat3.js\"),r.mat4=t(\"./gl-matrix/mat4.js\"),r.quat=t(\"./gl-matrix/quat.js\"),r.vec2=t(\"./gl-matrix/vec2.js\"),r.vec3=t(\"./gl-matrix/vec3.js\"),r.vec4=t(\"./gl-matrix/vec4.js\")},{\"./gl-matrix/common.js\":178,\"./gl-matrix/mat2.js\":179,\"./gl-matrix/mat2d.js\":180,\"./gl-matrix/mat3.js\":181,\"./gl-matrix/mat4.js\":182,\"./gl-matrix/quat.js\":183,\"./gl-matrix/vec2.js\":184,\"./gl-matrix/vec3.js\":185,\"./gl-matrix/vec4.js\":186}],178:[function(t,e,r){var n={};n.EPSILON=1e-6,n.ARRAY_TYPE=\"undefined\"!=typeof 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t[0]=f*n+d*o+p*u,t[1]=f*i+d*s+p*c,t[2]=f*a+d*l+p*h,t[3]=m*n+g*o+v*u,t[4]=m*i+g*s+v*c,t[5]=m*a+g*l+v*h,t[6]=y*n+b*o+x*u,t[7]=y*i+b*s+x*c,t[8]=y*a+b*l+x*h,t},i.mul=i.multiply,i.translate=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],h=e[8],f=r[0],d=r[1];return t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=f*n+d*o+u,t[7]=f*i+d*s+c,t[8]=f*a+d*l+h,t},i.rotate=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],h=e[8],f=Math.sin(r),d=Math.cos(r);return t[0]=d*n+f*o,t[1]=d*i+f*s,t[2]=d*a+f*l,t[3]=d*o-f*n,t[4]=d*s-f*i,t[5]=d*l-f*a,t[6]=u,t[7]=c,t[8]=h,t},i.scale=function(t,e,r){var n=r[0],i=r[1];return t[0]=n*e[0],t[1]=n*e[1],t[2]=n*e[2],t[3]=i*e[3],t[4]=i*e[4],t[5]=i*e[5],t[6]=e[6],t[7]=e[7],t[8]=e[8],t},i.fromTranslation=function(t,e){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=1,t[5]=0,t[6]=e[0],t[7]=e[1],t[8]=1,t},i.fromRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=r,t[2]=0,t[3]=-r,t[4]=n,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},i.fromScaling=function(t,e){return t[0]=e[0],t[1]=0,t[2]=0,t[3]=0,t[4]=e[1],t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},i.fromMat2d=function(t,e){return t[0]=e[0],t[1]=e[1],t[2]=0,t[3]=e[2],t[4]=e[3],t[5]=0,t[6]=e[4],t[7]=e[5],t[8]=1,t},i.fromQuat=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,u=r*o,c=n*o,h=n*s,f=i*o,d=i*s,p=i*l,m=a*o,g=a*s,v=a*l;return t[0]=1-h-p,t[3]=c-v,t[6]=f+g,t[1]=c+v,t[4]=1-u-p,t[7]=d-m,t[2]=f-g,t[5]=d+m,t[8]=1-u-h,t},i.normalFromMat4=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],u=e[7],c=e[8],h=e[9],f=e[10],d=e[11],p=e[12],m=e[13],g=e[14],v=e[15],y=r*s-n*o,b=r*l-i*o,x=r*u-a*o,_=n*l-i*s,w=n*u-a*s,M=i*u-a*l,k=c*m-h*p,A=c*g-f*p,T=c*v-d*p,S=h*g-f*m,E=h*v-d*m,L=f*v-d*g,C=y*L-b*E+x*S+_*T-w*A+M*k;return C?(C=1/C,t[0]=(s*L-l*E+u*S)*C,t[1]=(l*T-o*L-u*A)*C,t[2]=(o*E-s*T+u*k)*C,t[3]=(i*E-n*L-a*S)*C,t[4]=(r*L-i*T+a*A)*C,t[5]=(n*T-r*E-a*k)*C,t[6]=(m*M-g*w+v*_)*C,t[7]=(g*x-p*M-v*b)*C,t[8]=(p*w-m*x+v*y)*C,t):null},i.str=function(t){return\"mat3(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\")\"},i.frob=function(t){return Math.sqrt(Math.pow(t[0],2)+Math.pow(t[1],2)+Math.pow(t[2],2)+Math.pow(t[3],2)+Math.pow(t[4],2)+Math.pow(t[5],2)+Math.pow(t[6],2)+Math.pow(t[7],2)+Math.pow(t[8],2))},i.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t[3]=e[3]+r[3],t[4]=e[4]+r[4],t[5]=e[5]+r[5],t[6]=e[6]+r[6],t[7]=e[7]+r[7],t[8]=e[8]+r[8],t},i.subtract=function(t,e,r){return t[0]=e[0]-r[0],t[1]=e[1]-r[1],t[2]=e[2]-r[2],t[3]=e[3]-r[3],t[4]=e[4]-r[4],t[5]=e[5]-r[5],t[6]=e[6]-r[6],t[7]=e[7]-r[7],t[8]=e[8]-r[8],t},i.sub=i.subtract,i.multiplyScalar=function(t,e,r){return t[0]=e[0]*r,t[1]=e[1]*r,t[2]=e[2]*r,t[3]=e[3]*r,t[4]=e[4]*r,t[5]=e[5]*r,t[6]=e[6]*r,t[7]=e[7]*r,t[8]=e[8]*r,t},i.multiplyScalarAndAdd=function(t,e,r,n){return t[0]=e[0]+r[0]*n,t[1]=e[1]+r[1]*n,t[2]=e[2]+r[2]*n,t[3]=e[3]+r[3]*n,t[4]=e[4]+r[4]*n,t[5]=e[5]+r[5]*n,t[6]=e[6]+r[6]*n,t[7]=e[7]+r[7]*n,t[8]=e[8]+r[8]*n,t},i.exactEquals=function(t,e){return t[0]===e[0]&&t[1]===e[1]&&t[2]===e[2]&&t[3]===e[3]&&t[4]===e[4]&&t[5]===e[5]&&t[6]===e[6]&&t[7]===e[7]&&t[8]===e[8]},i.equals=function(t,e){var r=t[0],i=t[1],a=t[2],o=t[3],s=t[4],l=t[5],u=t[6],c=t[7],h=t[8],f=e[0],d=e[1],p=e[2],m=e[3],g=e[4],v=e[5],y=t[6],b=e[7],x=e[8];return Math.abs(r-f)<=n.EPSILON*Math.max(1,Math.abs(r),Math.abs(f))&&Math.abs(i-d)<=n.EPSILON*Math.max(1,Math.abs(i),Math.abs(d))&&Math.abs(a-p)<=n.EPSILON*Math.max(1,Math.abs(a),Math.abs(p))&&Math.abs(o-m)<=n.EPSILON*Math.max(1,Math.abs(o),Math.abs(m))&&Math.abs(s-g)<=n.EPSILON*Math.max(1,Math.abs(s),Math.abs(g))&&Math.abs(l-v)<=n.EPSILON*Math.max(1,Math.abs(l),Math.abs(v))&&Math.abs(u-y)<=n.EPSILON*Math.max(1,Math.abs(u),Math.abs(y))&&Math.abs(c-b)<=n.EPSILON*Math.max(1,Math.abs(c),Math.abs(b))&&Math.abs(h-x)<=n.EPSILON*Math.max(1,Math.abs(h),Math.abs(x))},e.exports=i},{\"./common.js\":178}],182:[function(t,e,r){var n=t(\"./common.js\"),i={scalar:{},SIMD:{}};i.create=function(){var t=new n.ARRAY_TYPE(16);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},i.clone=function(t){var e=new n.ARRAY_TYPE(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},i.copy=function(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t},i.fromValues=function(t,e,r,i,a,o,s,l,u,c,h,f,d,p,m,g){var v=new n.ARRAY_TYPE(16);return v[0]=t,v[1]=e,v[2]=r,v[3]=i,v[4]=a,v[5]=o,v[6]=s,v[7]=l,v[8]=u,v[9]=c,v[10]=h,v[11]=f,v[12]=d,v[13]=p,v[14]=m,v[15]=g,v},i.set=function(t,e,r,n,i,a,o,s,l,u,c,h,f,d,p,m,g){return t[0]=e,t[1]=r,t[2]=n,t[3]=i,t[4]=a,t[5]=o,t[6]=s,t[7]=l,t[8]=u,t[9]=c,t[10]=h,t[11]=f,t[12]=d,t[13]=p,t[14]=m,t[15]=g,t},i.identity=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},i.scalar.transpose=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t},i.SIMD.transpose=function(t,e){var r,n,i,a,o,s,l,u,c,h;return r=SIMD.Float32x4.load(e,0),n=SIMD.Float32x4.load(e,4),i=SIMD.Float32x4.load(e,8),a=SIMD.Float32x4.load(e,12),o=SIMD.Float32x4.shuffle(r,n,0,1,4,5),s=SIMD.Float32x4.shuffle(i,a,0,1,4,5),l=SIMD.Float32x4.shuffle(o,s,0,2,4,6),u=SIMD.Float32x4.shuffle(o,s,1,3,5,7),SIMD.Float32x4.store(t,0,l),SIMD.Float32x4.store(t,4,u),o=SIMD.Float32x4.shuffle(r,n,2,3,6,7),s=SIMD.Float32x4.shuffle(i,a,2,3,6,7),c=SIMD.Float32x4.shuffle(o,s,0,2,4,6),h=SIMD.Float32x4.shuffle(o,s,1,3,5,7),SIMD.Float32x4.store(t,8,c),SIMD.Float32x4.store(t,12,h),t},i.transpose=n.USE_SIMD?i.SIMD.transpose:i.scalar.transpose,i.scalar.invert=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],u=e[7],c=e[8],h=e[9],f=e[10],d=e[11],p=e[12],m=e[13],g=e[14],v=e[15],y=r*s-n*o,b=r*l-i*o,x=r*u-a*o,_=n*l-i*s,w=n*u-a*s,M=i*u-a*l,k=c*m-h*p,A=c*g-f*p,T=c*v-d*p,S=h*g-f*m,E=h*v-d*m,L=f*v-d*g,C=y*L-b*E+x*S+_*T-w*A+M*k;return C?(C=1/C,t[0]=(s*L-l*E+u*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(m*M-g*w+v*_)*C,t[3]=(f*w-h*M-d*_)*C,t[4]=(l*T-o*L-u*A)*C,t[5]=(r*L-i*T+a*A)*C,t[6]=(g*x-p*M-v*b)*C,t[7]=(c*M-f*x+d*b)*C,t[8]=(o*E-s*T+u*k)*C,t[9]=(n*T-r*E-a*k)*C,t[10]=(p*w-m*x+v*y)*C,t[11]=(h*x-c*w-d*y)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(m*b-p*_-g*y)*C,t[15]=(c*_-h*b+f*y)*C,t):null},i.SIMD.invert=function(t,e){var r,n,i,a,o,s,l,u,c,h,f=SIMD.Float32x4.load(e,0),d=SIMD.Float32x4.load(e,4),p=SIMD.Float32x4.load(e,8),m=SIMD.Float32x4.load(e,12);return o=SIMD.Float32x4.shuffle(f,d,0,1,4,5),n=SIMD.Float32x4.shuffle(p,m,0,1,4,5),r=SIMD.Float32x4.shuffle(o,n,0,2,4,6),n=SIMD.Float32x4.shuffle(n,o,1,3,5,7),o=SIMD.Float32x4.shuffle(f,d,2,3,6,7),a=SIMD.Float32x4.shuffle(p,m,2,3,6,7),i=SIMD.Float32x4.shuffle(o,a,0,2,4,6),a=SIMD.Float32x4.shuffle(a,o,1,3,5,7),o=SIMD.Float32x4.mul(i,a),o=SIMD.Float32x4.swizzle(o,1,0,3,2),s=SIMD.Float32x4.mul(n,o),l=SIMD.Float32x4.mul(r,o),o=SIMD.Float32x4.swizzle(o,2,3,0,1),s=SIMD.Float32x4.sub(SIMD.Float32x4.mul(n,o),s),l=SIMD.Float32x4.sub(SIMD.Float32x4.mul(r,o),l),l=SIMD.Float32x4.swizzle(l,2,3,0,1),o=SIMD.Float32x4.mul(n,i),o=SIMD.Float32x4.swizzle(o,1,0,3,2),s=SIMD.Float32x4.add(SIMD.Float32x4.mul(a,o),s),c=SIMD.Float32x4.mul(r,o),o=SIMD.Float32x4.swizzle(o,2,3,0,1),s=SIMD.Float32x4.sub(s,SIMD.Float32x4.mul(a,o)),c=SIMD.Float32x4.sub(SIMD.Float32x4.mul(r,o),c),c=SIMD.Float32x4.swizzle(c,2,3,0,1),o=SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(n,2,3,0,1),a),o=SIMD.Float32x4.swizzle(o,1,0,3,2),i=SIMD.Float32x4.swizzle(i,2,3,0,1),s=SIMD.Float32x4.add(SIMD.Float32x4.mul(i,o),s),u=SIMD.Float32x4.mul(r,o),o=SIMD.Float32x4.swizzle(o,2,3,0,1),s=SIMD.Float32x4.sub(s,SIMD.Float32x4.mul(i,o)),u=SIMD.Float32x4.sub(SIMD.Float32x4.mul(r,o),u),u=SIMD.Float32x4.swizzle(u,2,3,0,1),o=SIMD.Float32x4.mul(r,n),o=SIMD.Float32x4.swizzle(o,1,0,3,2),u=SIMD.Float32x4.add(SIMD.Float32x4.mul(a,o),u),c=SIMD.Float32x4.sub(SIMD.Float32x4.mul(i,o),c),o=SIMD.Float32x4.swizzle(o,2,3,0,1),u=SIMD.Float32x4.sub(SIMD.Float32x4.mul(a,o),u),c=SIMD.Float32x4.sub(c,SIMD.Float32x4.mul(i,o)),o=SIMD.Float32x4.mul(r,a),o=SIMD.Float32x4.swizzle(o,1,0,3,2),l=SIMD.Float32x4.sub(l,SIMD.Float32x4.mul(i,o)),u=SIMD.Float32x4.add(SIMD.Float32x4.mul(n,o),u),o=SIMD.Float32x4.swizzle(o,2,3,0,1),l=SIMD.Float32x4.add(SIMD.Float32x4.mul(i,o),l),u=SIMD.Float32x4.sub(u,SIMD.Float32x4.mul(n,o)),o=SIMD.Float32x4.mul(r,i),o=SIMD.Float32x4.swizzle(o,1,0,3,2),l=SIMD.Float32x4.add(SIMD.Float32x4.mul(a,o),l),c=SIMD.Float32x4.sub(c,SIMD.Float32x4.mul(n,o)),o=SIMD.Float32x4.swizzle(o,2,3,0,1),l=SIMD.Float32x4.sub(l,SIMD.Float32x4.mul(a,o)),c=SIMD.Float32x4.add(SIMD.Float32x4.mul(n,o),c),h=SIMD.Float32x4.mul(r,s),h=SIMD.Float32x4.add(SIMD.Float32x4.swizzle(h,2,3,0,1),h),h=SIMD.Float32x4.add(SIMD.Float32x4.swizzle(h,1,0,3,2),h),o=SIMD.Float32x4.reciprocalApproximation(h),h=SIMD.Float32x4.sub(SIMD.Float32x4.add(o,o),SIMD.Float32x4.mul(h,SIMD.Float32x4.mul(o,o))),(h=SIMD.Float32x4.swizzle(h,0,0,0,0))?(SIMD.Float32x4.store(t,0,SIMD.Float32x4.mul(h,s)),SIMD.Float32x4.store(t,4,SIMD.Float32x4.mul(h,l)),SIMD.Float32x4.store(t,8,SIMD.Float32x4.mul(h,u)),SIMD.Float32x4.store(t,12,SIMD.Float32x4.mul(h,c)),t):null},i.invert=n.USE_SIMD?i.SIMD.invert:i.scalar.invert,i.scalar.adjoint=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],u=e[7],c=e[8],h=e[9],f=e[10],d=e[11],p=e[12],m=e[13],g=e[14],v=e[15];return t[0]=s*(f*v-d*g)-h*(l*v-u*g)+m*(l*d-u*f),t[1]=-(n*(f*v-d*g)-h*(i*v-a*g)+m*(i*d-a*f)),t[2]=n*(l*v-u*g)-s*(i*v-a*g)+m*(i*u-a*l),t[3]=-(n*(l*d-u*f)-s*(i*d-a*f)+h*(i*u-a*l)),t[4]=-(o*(f*v-d*g)-c*(l*v-u*g)+p*(l*d-u*f)),t[5]=r*(f*v-d*g)-c*(i*v-a*g)+p*(i*d-a*f),t[6]=-(r*(l*v-u*g)-o*(i*v-a*g)+p*(i*u-a*l)),t[7]=r*(l*d-u*f)-o*(i*d-a*f)+c*(i*u-a*l),t[8]=o*(h*v-d*m)-c*(s*v-u*m)+p*(s*d-u*h),t[9]=-(r*(h*v-d*m)-c*(n*v-a*m)+p*(n*d-a*h)),t[10]=r*(s*v-u*m)-o*(n*v-a*m)+p*(n*u-a*s),t[11]=-(r*(s*d-u*h)-o*(n*d-a*h)+c*(n*u-a*s)),t[12]=-(o*(h*g-f*m)-c*(s*g-l*m)+p*(s*f-l*h)),t[13]=r*(h*g-f*m)-c*(n*g-i*m)+p*(n*f-i*h),t[14]=-(r*(s*g-l*m)-o*(n*g-i*m)+p*(n*l-i*s)),t[15]=r*(s*f-l*h)-o*(n*f-i*h)+c*(n*l-i*s),t},i.SIMD.adjoint=function(t,e){var r,n,i,a,o,s,l,u,c,h,f,d,p,r=SIMD.Float32x4.load(e,0),n=SIMD.Float32x4.load(e,4),i=SIMD.Float32x4.load(e,8),a=SIMD.Float32x4.load(e,12);return c=SIMD.Float32x4.shuffle(r,n,0,1,4,5),s=SIMD.Float32x4.shuffle(i,a,0,1,4,5),o=SIMD.Float32x4.shuffle(c,s,0,2,4,6),s=SIMD.Float32x4.shuffle(s,c,1,3,5,7),c=SIMD.Float32x4.shuffle(r,n,2,3,6,7),u=SIMD.Float32x4.shuffle(i,a,2,3,6,7),l=SIMD.Float32x4.shuffle(c,u,0,2,4,6),u=SIMD.Float32x4.shuffle(u,c,1,3,5,7),c=SIMD.Float32x4.mul(l,u),c=SIMD.Float32x4.swizzle(c,1,0,3,2),h=SIMD.Float32x4.mul(s,c),f=SIMD.Float32x4.mul(o,c),c=SIMD.Float32x4.swizzle(c,2,3,0,1),h=SIMD.Float32x4.sub(SIMD.Float32x4.mul(s,c),h),f=SIMD.Float32x4.sub(SIMD.Float32x4.mul(o,c),f),f=SIMD.Float32x4.swizzle(f,2,3,0,1),c=SIMD.Float32x4.mul(s,l),c=SIMD.Float32x4.swizzle(c,1,0,3,2),h=SIMD.Float32x4.add(SIMD.Float32x4.mul(u,c),h),p=SIMD.Float32x4.mul(o,c),c=SIMD.Float32x4.swizzle(c,2,3,0,1),h=SIMD.Float32x4.sub(h,SIMD.Float32x4.mul(u,c)),p=SIMD.Float32x4.sub(SIMD.Float32x4.mul(o,c),p),p=SIMD.Float32x4.swizzle(p,2,3,0,1),c=SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(s,2,3,0,1),u),c=SIMD.Float32x4.swizzle(c,1,0,3,2),l=SIMD.Float32x4.swizzle(l,2,3,0,1),h=SIMD.Float32x4.add(SIMD.Float32x4.mul(l,c),h),d=SIMD.Float32x4.mul(o,c),c=SIMD.Float32x4.swizzle(c,2,3,0,1),h=SIMD.Float32x4.sub(h,SIMD.Float32x4.mul(l,c)),d=SIMD.Float32x4.sub(SIMD.Float32x4.mul(o,c),d),d=SIMD.Float32x4.swizzle(d,2,3,0,1),c=SIMD.Float32x4.mul(o,s),c=SIMD.Float32x4.swizzle(c,1,0,3,2),d=SIMD.Float32x4.add(SIMD.Float32x4.mul(u,c),d),p=SIMD.Float32x4.sub(SIMD.Float32x4.mul(l,c),p),c=SIMD.Float32x4.swizzle(c,2,3,0,1),d=SIMD.Float32x4.sub(SIMD.Float32x4.mul(u,c),d),p=SIMD.Float32x4.sub(p,SIMD.Float32x4.mul(l,c)),c=SIMD.Float32x4.mul(o,u),c=SIMD.Float32x4.swizzle(c,1,0,3,2),f=SIMD.Float32x4.sub(f,SIMD.Float32x4.mul(l,c)),d=SIMD.Float32x4.add(SIMD.Float32x4.mul(s,c),d),c=SIMD.Float32x4.swizzle(c,2,3,0,1),f=SIMD.Float32x4.add(SIMD.Float32x4.mul(l,c),f),d=SIMD.Float32x4.sub(d,SIMD.Float32x4.mul(s,c)),c=SIMD.Float32x4.mul(o,l),c=SIMD.Float32x4.swizzle(c,1,0,3,2),f=SIMD.Float32x4.add(SIMD.Float32x4.mul(u,c),f),p=SIMD.Float32x4.sub(p,SIMD.Float32x4.mul(s,c)),c=SIMD.Float32x4.swizzle(c,2,3,0,1),f=SIMD.Float32x4.sub(f,SIMD.Float32x4.mul(u,c)),p=SIMD.Float32x4.add(SIMD.Float32x4.mul(s,c),p),SIMD.Float32x4.store(t,0,h),SIMD.Float32x4.store(t,4,f),SIMD.Float32x4.store(t,8,d),SIMD.Float32x4.store(t,12,p),t},i.adjoint=n.USE_SIMD?i.SIMD.adjoint:i.scalar.adjoint,i.determinant=function(t){var e=t[0],r=t[1],n=t[2],i=t[3],a=t[4],o=t[5],s=t[6],l=t[7],u=t[8],c=t[9],h=t[10],f=t[11],d=t[12],p=t[13],m=t[14],g=t[15];return(e*o-r*a)*(h*g-f*m)-(e*s-n*a)*(c*g-f*p)+(e*l-i*a)*(c*m-h*p)+(r*s-n*o)*(u*g-f*d)-(r*l-i*o)*(u*m-h*d)+(n*l-i*s)*(u*p-c*d)},i.SIMD.multiply=function(t,e,r){var n=SIMD.Float32x4.load(e,0),i=SIMD.Float32x4.load(e,4),a=SIMD.Float32x4.load(e,8),o=SIMD.Float32x4.load(e,12),s=SIMD.Float32x4.load(r,0),l=SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(s,0,0,0,0),n),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(s,1,1,1,1),i),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(s,2,2,2,2),a),SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(s,3,3,3,3),o))));SIMD.Float32x4.store(t,0,l);var u=SIMD.Float32x4.load(r,4),c=SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(u,0,0,0,0),n),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(u,1,1,1,1),i),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(u,2,2,2,2),a),SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(u,3,3,3,3),o))));SIMD.Float32x4.store(t,4,c);var h=SIMD.Float32x4.load(r,8),f=SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(h,0,0,0,0),n),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(h,1,1,1,1),i),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(h,2,2,2,2),a),SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(h,3,3,3,3),o))));SIMD.Float32x4.store(t,8,f);var d=SIMD.Float32x4.load(r,12),p=SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(d,0,0,0,0),n),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(d,1,1,1,1),i),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(d,2,2,2,2),a),SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(d,3,3,3,3),o))));return SIMD.Float32x4.store(t,12,p),t},i.scalar.multiply=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],h=e[8],f=e[9],d=e[10],p=e[11],m=e[12],g=e[13],v=e[14],y=e[15],b=r[0],x=r[1],_=r[2],w=r[3];return t[0]=b*n+x*s+_*h+w*m,t[1]=b*i+x*l+_*f+w*g,t[2]=b*a+x*u+_*d+w*v,t[3]=b*o+x*c+_*p+w*y,b=r[4],x=r[5],_=r[6],w=r[7],t[4]=b*n+x*s+_*h+w*m,t[5]=b*i+x*l+_*f+w*g,t[6]=b*a+x*u+_*d+w*v,t[7]=b*o+x*c+_*p+w*y,b=r[8],x=r[9],_=r[10],w=r[11],t[8]=b*n+x*s+_*h+w*m,t[9]=b*i+x*l+_*f+w*g,t[10]=b*a+x*u+_*d+w*v,t[11]=b*o+x*c+_*p+w*y,b=r[12],x=r[13],_=r[14],w=r[15],t[12]=b*n+x*s+_*h+w*m,t[13]=b*i+x*l+_*f+w*g,t[14]=b*a+x*u+_*d+w*v,t[15]=b*o+x*c+_*p+w*y,t},i.multiply=n.USE_SIMD?i.SIMD.multiply:i.scalar.multiply,i.mul=i.multiply,i.scalar.translate=function(t,e,r){var n,i,a,o,s,l,u,c,h,f,d,p,m=r[0],g=r[1],v=r[2];return e===t?(t[12]=e[0]*m+e[4]*g+e[8]*v+e[12],t[13]=e[1]*m+e[5]*g+e[9]*v+e[13],t[14]=e[2]*m+e[6]*g+e[10]*v+e[14],t[15]=e[3]*m+e[7]*g+e[11]*v+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],h=e[8],f=e[9],d=e[10],p=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=u,t[7]=c,t[8]=h,t[9]=f,t[10]=d,t[11]=p,t[12]=n*m+s*g+h*v+e[12],t[13]=i*m+l*g+f*v+e[13],t[14]=a*m+u*g+d*v+e[14],t[15]=o*m+c*g+p*v+e[15]),t},i.SIMD.translate=function(t,e,r){var n=SIMD.Float32x4.load(e,0),i=SIMD.Float32x4.load(e,4),a=SIMD.Float32x4.load(e,8),o=SIMD.Float32x4.load(e,12),s=SIMD.Float32x4(r[0],r[1],r[2],0);e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11]),n=SIMD.Float32x4.mul(n,SIMD.Float32x4.swizzle(s,0,0,0,0)),i=SIMD.Float32x4.mul(i,SIMD.Float32x4.swizzle(s,1,1,1,1)),a=SIMD.Float32x4.mul(a,SIMD.Float32x4.swizzle(s,2,2,2,2));var l=SIMD.Float32x4.add(n,SIMD.Float32x4.add(i,SIMD.Float32x4.add(a,o)));return SIMD.Float32x4.store(t,12,l),t},i.translate=n.USE_SIMD?i.SIMD.translate:i.scalar.translate,i.scalar.scale=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t},i.SIMD.scale=function(t,e,r){var n,i,a,o=SIMD.Float32x4(r[0],r[1],r[2],0);return n=SIMD.Float32x4.load(e,0),SIMD.Float32x4.store(t,0,SIMD.Float32x4.mul(n,SIMD.Float32x4.swizzle(o,0,0,0,0))),i=SIMD.Float32x4.load(e,4),SIMD.Float32x4.store(t,4,SIMD.Float32x4.mul(i,SIMD.Float32x4.swizzle(o,1,1,1,1))),a=SIMD.Float32x4.load(e,8),SIMD.Float32x4.store(t,8,SIMD.Float32x4.mul(a,SIMD.Float32x4.swizzle(o,2,2,2,2))),t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t},i.scale=n.USE_SIMD?i.SIMD.scale:i.scalar.scale,i.rotate=function(t,e,r,i){var a,o,s,l,u,c,h,f,d,p,m,g,v,y,b,x,_,w,M,k,A,T,S,E,L=i[0],C=i[1],z=i[2],D=Math.sqrt(L*L+C*C+z*z);return Math.abs(D)<n.EPSILON?null:(D=1/D,L*=D,C*=D,z*=D,a=Math.sin(r),o=Math.cos(r),s=1-o,l=e[0],u=e[1],c=e[2],h=e[3],f=e[4],d=e[5],p=e[6],m=e[7],g=e[8],v=e[9],y=e[10],b=e[11],x=L*L*s+o,_=C*L*s+z*a,w=z*L*s-C*a,M=L*C*s-z*a,k=C*C*s+o,A=z*C*s+L*a,T=L*z*s+C*a,S=C*z*s-L*a,E=z*z*s+o,t[0]=l*x+f*_+g*w,t[1]=u*x+d*_+v*w,t[2]=c*x+p*_+y*w,t[3]=h*x+m*_+b*w,t[4]=l*M+f*k+g*A,t[5]=u*M+d*k+v*A,t[6]=c*M+p*k+y*A,t[7]=h*M+m*k+b*A,t[8]=l*T+f*S+g*E,t[9]=u*T+d*S+v*E,t[10]=c*T+p*S+y*E,t[11]=h*T+m*S+b*E,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t)},i.scalar.rotateX=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],u=e[8],c=e[9],h=e[10],f=e[11];return e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[4]=a*i+u*n,t[5]=o*i+c*n,t[6]=s*i+h*n,t[7]=l*i+f*n,t[8]=u*i-a*n,t[9]=c*i-o*n,t[10]=h*i-s*n,t[11]=f*i-l*n,t},i.SIMD.rotateX=function(t,e,r){var n=SIMD.Float32x4.splat(Math.sin(r)),i=SIMD.Float32x4.splat(Math.cos(r));e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);var a=SIMD.Float32x4.load(e,4),o=SIMD.Float32x4.load(e,8);return SIMD.Float32x4.store(t,4,SIMD.Float32x4.add(SIMD.Float32x4.mul(a,i),SIMD.Float32x4.mul(o,n))),SIMD.Float32x4.store(t,8,SIMD.Float32x4.sub(SIMD.Float32x4.mul(o,i),SIMD.Float32x4.mul(a,n))),t},i.rotateX=n.USE_SIMD?i.SIMD.rotateX:i.scalar.rotateX,i.scalar.rotateY=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[8],c=e[9],h=e[10],f=e[11];return e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i-u*n,t[1]=o*i-c*n,t[2]=s*i-h*n,t[3]=l*i-f*n,t[8]=a*n+u*i,t[9]=o*n+c*i,t[10]=s*n+h*i,t[11]=l*n+f*i,t},i.SIMD.rotateY=function(t,e,r){var n=SIMD.Float32x4.splat(Math.sin(r)),i=SIMD.Float32x4.splat(Math.cos(r));e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);var a=SIMD.Float32x4.load(e,0),o=SIMD.Float32x4.load(e,8);return SIMD.Float32x4.store(t,0,SIMD.Float32x4.sub(SIMD.Float32x4.mul(a,i),SIMD.Float32x4.mul(o,n))),SIMD.Float32x4.store(t,8,SIMD.Float32x4.add(SIMD.Float32x4.mul(a,n),SIMD.Float32x4.mul(o,i))),t},i.rotateY=n.USE_SIMD?i.SIMD.rotateY:i.scalar.rotateY,i.scalar.rotateZ=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[4],c=e[5],h=e[6],f=e[7];return e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i+u*n,t[1]=o*i+c*n,t[2]=s*i+h*n,t[3]=l*i+f*n,t[4]=u*i-a*n,t[5]=c*i-o*n,t[6]=h*i-s*n,t[7]=f*i-l*n,t},i.SIMD.rotateZ=function(t,e,r){var n=SIMD.Float32x4.splat(Math.sin(r)),i=SIMD.Float32x4.splat(Math.cos(r));e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);var a=SIMD.Float32x4.load(e,0),o=SIMD.Float32x4.load(e,4);return SIMD.Float32x4.store(t,0,SIMD.Float32x4.add(SIMD.Float32x4.mul(a,i),SIMD.Float32x4.mul(o,n))),SIMD.Float32x4.store(t,4,SIMD.Float32x4.sub(SIMD.Float32x4.mul(o,i),SIMD.Float32x4.mul(a,n))),t},i.rotateZ=n.USE_SIMD?i.SIMD.rotateZ:i.scalar.rotateZ,i.fromTranslation=function(t,e){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=e[0],t[13]=e[1],t[14]=e[2],t[15]=1,t},i.fromScaling=function(t,e){return t[0]=e[0],t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=e[1],t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=e[2],t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},i.fromRotation=function(t,e,r){var i,a,o,s=r[0],l=r[1],u=r[2],c=Math.sqrt(s*s+l*l+u*u);return Math.abs(c)<n.EPSILON?null:(c=1/c,s*=c,l*=c,u*=c,i=Math.sin(e),a=Math.cos(e),o=1-a,t[0]=s*s*o+a,t[1]=l*s*o+u*i,t[2]=u*s*o-l*i,t[3]=0,t[4]=s*l*o-u*i,t[5]=l*l*o+a,t[6]=u*l*o+s*i,t[7]=0,t[8]=s*u*o+l*i,t[9]=l*u*o-s*i,t[10]=u*u*o+a,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t)},i.fromXRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=n,t[6]=r,t[7]=0,t[8]=0,t[9]=-r,t[10]=n,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},i.fromYRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=0,t[2]=-r,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=r,t[9]=0,t[10]=n,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},i.fromZRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=r,t[2]=0,t[3]=0,t[4]=-r,t[5]=n,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},i.fromRotationTranslation=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,u=a+a,c=n*s,h=n*l,f=n*u,d=i*l,p=i*u,m=a*u,g=o*s,v=o*l,y=o*u;return t[0]=1-(d+m),t[1]=h+y,t[2]=f-v,t[3]=0,t[4]=h-y,t[5]=1-(c+m),t[6]=p+g,t[7]=0,t[8]=f+v,t[9]=p-g,t[10]=1-(c+d),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t},i.getTranslation=function(t,e){return t[0]=e[12],t[1]=e[13],t[2]=e[14],t},i.getRotation=function(t,e){var r=e[0]+e[5]+e[10],n=0;return r>0?(n=2*Math.sqrt(r+1),t[3]=.25*n,t[0]=(e[6]-e[9])/n,t[1]=(e[8]-e[2])/n,t[2]=(e[1]-e[4])/n):e[0]>e[5]&e[0]>e[10]?(n=2*Math.sqrt(1+e[0]-e[5]-e[10]),t[3]=(e[6]-e[9])/n,t[0]=.25*n,t[1]=(e[1]+e[4])/n,t[2]=(e[8]+e[2])/n):e[5]>e[10]?(n=2*Math.sqrt(1+e[5]-e[0]-e[10]),t[3]=(e[8]-e[2])/n,t[0]=(e[1]+e[4])/n,t[1]=.25*n,t[2]=(e[6]+e[9])/n):(n=2*Math.sqrt(1+e[10]-e[0]-e[5]),t[3]=(e[1]-e[4])/n,t[0]=(e[8]+e[2])/n,t[1]=(e[6]+e[9])/n,t[2]=.25*n),t},i.fromRotationTranslationScale=function(t,e,r,n){var i=e[0],a=e[1],o=e[2],s=e[3],l=i+i,u=a+a,c=o+o,h=i*l,f=i*u,d=i*c,p=a*u,m=a*c,g=o*c,v=s*l,y=s*u,b=s*c,x=n[0],_=n[1],w=n[2];return t[0]=(1-(p+g))*x,t[1]=(f+b)*x,t[2]=(d-y)*x,t[3]=0,t[4]=(f-b)*_,t[5]=(1-(h+g))*_,t[6]=(m+v)*_,t[7]=0,t[8]=(d+y)*w,t[9]=(m-v)*w,t[10]=(1-(h+p))*w,t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t},i.fromRotationTranslationScaleOrigin=function(t,e,r,n,i){var a=e[0],o=e[1],s=e[2],l=e[3],u=a+a,c=o+o,h=s+s,f=a*u,d=a*c,p=a*h,m=o*c,g=o*h,v=s*h,y=l*u,b=l*c,x=l*h,_=n[0],w=n[1],M=n[2],k=i[0],A=i[1],T=i[2];return t[0]=(1-(m+v))*_,t[1]=(d+x)*_,t[2]=(p-b)*_,t[3]=0,t[4]=(d-x)*w,t[5]=(1-(f+v))*w,t[6]=(g+y)*w,t[7]=0,t[8]=(p+b)*M,t[9]=(g-y)*M,t[10]=(1-(f+m))*M,t[11]=0,t[12]=r[0]+k-(t[0]*k+t[4]*A+t[8]*T),t[13]=r[1]+A-(t[1]*k+t[5]*A+t[9]*T),t[14]=r[2]+T-(t[2]*k+t[6]*A+t[10]*T),t[15]=1,t},i.fromQuat=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,u=r*o,c=n*o,h=n*s,f=i*o,d=i*s,p=i*l,m=a*o,g=a*s,v=a*l;return t[0]=1-h-p,t[1]=c+v,t[2]=f-g,t[3]=0,t[4]=c-v,t[5]=1-u-p,t[6]=d+m,t[7]=0,t[8]=f+g,t[9]=d-m,t[10]=1-u-h,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},i.frustum=function(t,e,r,n,i,a,o){var s=1/(r-e),l=1/(i-n),u=1/(a-o);return t[0]=2*a*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=2*a*l,t[6]=0,t[7]=0,t[8]=(r+e)*s,t[9]=(i+n)*l,t[10]=(o+a)*u,t[11]=-1,t[12]=0,t[13]=0,t[14]=o*a*2*u,t[15]=0,t},i.perspective=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t},i.perspectiveFromFieldOfView=function(t,e,r,n){var i=Math.tan(e.upDegrees*Math.PI/180),a=Math.tan(e.downDegrees*Math.PI/180),o=Math.tan(e.leftDegrees*Math.PI/180),s=Math.tan(e.rightDegrees*Math.PI/180),l=2/(o+s),u=2/(i+a);return t[0]=l,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=u,t[6]=0,t[7]=0,t[8]=-((o-s)*l)*.5,t[9]=(i-a)*u*.5,t[10]=n/(r-n),t[11]=-1,t[12]=0,t[13]=0,t[14]=n*r/(r-n),t[15]=0,t},i.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),u=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*u,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*u,t[15]=1,t},i.lookAt=function(t,e,r,a){var o,s,l,u,c,h,f,d,p,m,g=e[0],v=e[1],y=e[2],b=a[0],x=a[1],_=a[2],w=r[0],M=r[1],k=r[2];return Math.abs(g-w)<n.EPSILON&&Math.abs(v-M)<n.EPSILON&&Math.abs(y-k)<n.EPSILON?i.identity(t):(f=g-w,d=v-M,p=y-k,m=1/Math.sqrt(f*f+d*d+p*p),f*=m,d*=m,p*=m,o=x*p-_*d,s=_*f-b*p,l=b*d-x*f,m=Math.sqrt(o*o+s*s+l*l),m?(m=1/m,o*=m,s*=m,l*=m):(o=0,s=0,l=0),u=d*l-p*s,c=p*o-f*l,h=f*s-d*o,m=Math.sqrt(u*u+c*c+h*h),m?(m=1/m,u*=m,c*=m,h*=m):(u=0,c=0,h=0),t[0]=o,t[1]=u,t[2]=f,t[3]=0,t[4]=s,t[5]=c,t[6]=d,t[7]=0,t[8]=l,t[9]=h,t[10]=p,t[11]=0,t[12]=-(o*g+s*v+l*y),t[13]=-(u*g+c*v+h*y),t[14]=-(f*g+d*v+p*y),t[15]=1,t)},i.str=function(t){return\"mat4(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\", \"+t[9]+\", \"+t[10]+\", \"+t[11]+\", \"+t[12]+\", \"+t[13]+\", \"+t[14]+\", \"+t[15]+\")\"},i.frob=function(t){return Math.sqrt(Math.pow(t[0],2)+Math.pow(t[1],2)+Math.pow(t[2],2)+Math.pow(t[3],2)+Math.pow(t[4],2)+Math.pow(t[5],2)+Math.pow(t[6],2)+Math.pow(t[7],2)+Math.pow(t[8],2)+Math.pow(t[9],2)+Math.pow(t[10],2)+Math.pow(t[11],2)+Math.pow(t[12],2)+Math.pow(t[13],2)+Math.pow(t[14],2)+Math.pow(t[15],2))},i.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t[3]=e[3]+r[3],t[4]=e[4]+r[4],t[5]=e[5]+r[5],t[6]=e[6]+r[6],t[7]=e[7]+r[7],t[8]=e[8]+r[8],\n",
       "t[9]=e[9]+r[9],t[10]=e[10]+r[10],t[11]=e[11]+r[11],t[12]=e[12]+r[12],t[13]=e[13]+r[13],t[14]=e[14]+r[14],t[15]=e[15]+r[15],t},i.subtract=function(t,e,r){return t[0]=e[0]-r[0],t[1]=e[1]-r[1],t[2]=e[2]-r[2],t[3]=e[3]-r[3],t[4]=e[4]-r[4],t[5]=e[5]-r[5],t[6]=e[6]-r[6],t[7]=e[7]-r[7],t[8]=e[8]-r[8],t[9]=e[9]-r[9],t[10]=e[10]-r[10],t[11]=e[11]-r[11],t[12]=e[12]-r[12],t[13]=e[13]-r[13],t[14]=e[14]-r[14],t[15]=e[15]-r[15],t},i.sub=i.subtract,i.multiplyScalar=function(t,e,r){return t[0]=e[0]*r,t[1]=e[1]*r,t[2]=e[2]*r,t[3]=e[3]*r,t[4]=e[4]*r,t[5]=e[5]*r,t[6]=e[6]*r,t[7]=e[7]*r,t[8]=e[8]*r,t[9]=e[9]*r,t[10]=e[10]*r,t[11]=e[11]*r,t[12]=e[12]*r,t[13]=e[13]*r,t[14]=e[14]*r,t[15]=e[15]*r,t},i.multiplyScalarAndAdd=function(t,e,r,n){return t[0]=e[0]+r[0]*n,t[1]=e[1]+r[1]*n,t[2]=e[2]+r[2]*n,t[3]=e[3]+r[3]*n,t[4]=e[4]+r[4]*n,t[5]=e[5]+r[5]*n,t[6]=e[6]+r[6]*n,t[7]=e[7]+r[7]*n,t[8]=e[8]+r[8]*n,t[9]=e[9]+r[9]*n,t[10]=e[10]+r[10]*n,t[11]=e[11]+r[11]*n,t[12]=e[12]+r[12]*n,t[13]=e[13]+r[13]*n,t[14]=e[14]+r[14]*n,t[15]=e[15]+r[15]*n,t},i.exactEquals=function(t,e){return t[0]===e[0]&&t[1]===e[1]&&t[2]===e[2]&&t[3]===e[3]&&t[4]===e[4]&&t[5]===e[5]&&t[6]===e[6]&&t[7]===e[7]&&t[8]===e[8]&&t[9]===e[9]&&t[10]===e[10]&&t[11]===e[11]&&t[12]===e[12]&&t[13]===e[13]&&t[14]===e[14]&&t[15]===e[15]},i.equals=function(t,e){var r=t[0],i=t[1],a=t[2],o=t[3],s=t[4],l=t[5],u=t[6],c=t[7],h=t[8],f=t[9],d=t[10],p=t[11],m=t[12],g=t[13],v=t[14],y=t[15],b=e[0],x=e[1],_=e[2],w=e[3],M=e[4],k=e[5],A=e[6],T=e[7],S=e[8],E=e[9],L=e[10],C=e[11],z=e[12],D=e[13],I=e[14],P=e[15];return 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opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if(any(lessThan(f_data, clipBounds[0])) || \\n     any(greaterThan(f_data, clipBounds[1]))) {\\n    discard;\\n  }\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\",attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.pointShader={vertex:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if(any(lessThan(position, clipBounds[0])) || \\n     any(greaterThan(position, clipBounds[1]))) {\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\",fragment:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5,0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\",attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},r.pickShader={vertex:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}\",fragment:n,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},r.pointPickShader={vertex:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if(any(lessThan(position, clipBounds[0])) || \\n     any(greaterThan(position, clipBounds[1]))) {\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    gl_Position  = projection * view * model * vec4(position, 1.0);\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\",fragment:n,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},r.contourShader={vertex:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n}\",fragment:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor,1);\\n}\\n\",attributes:[{name:\"position\",type:\"vec3\"}]}},{}],189:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s,l,u,c,h,f,d,p,m,g,v,y,b,x,_,w,M,k,A,T){this.gl=t,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=c,this.triangleNormals=f,this.triangleUVs=h,this.triangleIds=u,this.triangleVAO=d,this.triangleCount=0,this.lineWidth=1,this.edgePositions=p,this.edgeColors=g,this.edgeUVs=v,this.edgeIds=m,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=b,this.pointColors=_,this.pointUVs=w,this.pointSizes=M,this.pointIds=x,this.pointVAO=k,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=A,this.contourVAO=T,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this._model=I,this._view=I,this._projection=I,this._resolution=[1,1]}function i(t){for(var e=w({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return _(r,[256,256,4],[4,0,1])}function a(t,e,r){for(var n=new Array(e),i=0;i<e;++i)n[i]=0;for(var a=t.length,i=0;i<a;++i)for(var o=t[i],s=0;s<o.length;++s)n[o[s]]=r[i];return n}function o(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}function s(t){var e=p(t,S);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function l(t){var e=p(t,E);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function u(t){var e=p(t,L);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function c(t){var e=p(t,C);return e.attributes.position.location=0,e.attributes.id.location=1,e}function h(t){var e=p(t,z);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function f(t){var e=p(t,D);return e.attributes.position.location=0,e}function d(t){var e=t.gl,r=s(e),i=l(e),a=u(e),o=c(e),d=h(e),p=f(e),y=v(e,_(new Uint8Array([255,255,255,255]),[1,1,4]));y.generateMipmap(),y.minFilter=e.LINEAR_MIPMAP_LINEAR,y.magFilter=e.LINEAR;var b=m(e),x=m(e),w=m(e),M=m(e),k=m(e),A=g(e,[{buffer:b,type:e.FLOAT,size:3},{buffer:k,type:e.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:x,type:e.FLOAT,size:4},{buffer:w,type:e.FLOAT,size:2},{buffer:M,type:e.FLOAT,size:3}]),T=m(e),S=m(e),E=m(e),L=m(e),C=g(e,[{buffer:T,type:e.FLOAT,size:3},{buffer:L,type:e.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:S,type:e.FLOAT,size:4},{buffer:E,type:e.FLOAT,size:2}]),z=m(e),D=m(e),I=m(e),P=m(e),O=m(e),j=g(e,[{buffer:z,type:e.FLOAT,size:3},{buffer:O,type:e.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:D,type:e.FLOAT,size:4},{buffer:I,type:e.FLOAT,size:2},{buffer:P,type:e.FLOAT,size:1}]),R=m(e),F=g(e,[{buffer:R,type:e.FLOAT,size:3}]),N=new n(e,y,r,i,a,o,d,p,b,k,x,w,M,A,T,L,S,E,C,z,O,D,I,P,j,R,F);return N.update(t),N}var p=t(\"gl-shader\"),m=t(\"gl-buffer\"),g=t(\"gl-vao\"),v=t(\"gl-texture2d\"),y=t(\"normals\"),b=t(\"gl-mat4/multiply\"),x=t(\"gl-mat4/invert\"),_=t(\"ndarray\"),w=t(\"colormap\"),M=t(\"simplicial-complex-contour\"),k=t(\"typedarray-pool\"),A=t(\"./lib/shaders\"),T=t(\"./lib/closest-point\"),S=A.meshShader,E=A.wireShader,L=A.pointShader,C=A.pickShader,z=A.pointPickShader,D=A.contourShader,I=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],P=n.prototype;P.isOpaque=function(){return this.opacity>=1},P.isTransparent=function(){return this.opacity<1},P.pickSlots=1,P.setPickBase=function(t){this.pickId=t},P.highlight=function(t){if(!t||!this.contourEnable)return void(this.contourCount=0);for(var e=M(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=k.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var u=r[l],c=0;c<2;++c){var h=u[0];2===u.length&&(h=u[c]);for(var f=n[h][0],d=n[h][1],p=i[h],m=1-p,g=this.positions[f],v=this.positions[d],y=0;y<3;++y)o[s++]=p*g[y]+m*v[y]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),k.free(o)},P.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=v(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(i(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var s=[],l=[],u=[],c=[],h=[],f=[],d=[],p=[],m=[],g=[],b=[],x=[],_=[],w=[];this.cells=r,this.positions=n;var M=t.vertexNormals,k=t.cellNormals,A=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,T=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!k&&(k=y.faceNormals(r,n,T)),k||M||(M=y.vertexNormals(r,n,A))\n",
       ";var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,z=t.vertexIntensity,D=t.cellUVs,I=t.cellIntensity,P=1/0,O=-1/0;if(!C&&!D)if(z)for(var j=0;j<z.length;++j){var R=z[j];P=Math.min(P,R),O=Math.max(O,R)}else if(I)for(var j=0;j<I.length;++j){var R=I[j];P=Math.min(P,R),O=Math.max(O,R)}else for(var j=0;j<n.length;++j){var R=n[j][2];P=Math.min(P,R),O=Math.max(O,R)}this.intensity=z||(I?a(r,n.length,I):o(n));var F=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(var j=0;j<n.length;++j)for(var B=n[j],U=0;U<3;++U)!isNaN(B[U])&&isFinite(B[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],B[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],B[U]));var V=0,H=0,q=0;t:for(var j=0;j<r.length;++j){var G=r[j];switch(G.length){case 1:for(var Y=G[0],B=n[Y],U=0;U<3;++U)if(isNaN(B[U])||!isFinite(B[U]))continue t;g.push(B[0],B[1],B[2]);var W;W=S?S[Y]:E?E[j]:L,3===W.length?b.push(W[0],W[1],W[2],1):b.push(W[0],W[1],W[2],W[3]);var X;X=C?C[Y]:z?[(z[Y]-P)/(O-P),0]:D?D[j]:I?[(I[j]-P)/(O-P),0]:[(B[2]-P)/(O-P),0],x.push(X[0],X[1]),F?_.push(F[Y]):_.push(N),w.push(j),q+=1;break;case 2:for(var U=0;U<2;++U)for(var Y=G[U],B=n[Y],Z=0;Z<3;++Z)if(isNaN(B[Z])||!isFinite(B[Z]))continue t;for(var U=0;U<2;++U){var Y=G[U],B=n[Y];f.push(B[0],B[1],B[2]);var W;W=S?S[Y]:E?E[j]:L,3===W.length?d.push(W[0],W[1],W[2],1):d.push(W[0],W[1],W[2],W[3]);var X;X=C?C[Y]:z?[(z[Y]-P)/(O-P),0]:D?D[j]:I?[(I[j]-P)/(O-P),0]:[(B[2]-P)/(O-P),0],p.push(X[0],X[1]),m.push(j)}H+=1;break;case 3:for(var U=0;U<3;++U)for(var Y=G[U],B=n[Y],Z=0;Z<3;++Z)if(isNaN(B[Z])||!isFinite(B[Z]))continue t;for(var U=0;U<3;++U){var Y=G[U],B=n[Y];s.push(B[0],B[1],B[2]);var W;W=S?S[Y]:E?E[j]:L,3===W.length?l.push(W[0],W[1],W[2],1):l.push(W[0],W[1],W[2],W[3]);var X;X=C?C[Y]:z?[(z[Y]-P)/(O-P),0]:D?D[j]:I?[(I[j]-P)/(O-P),0]:[(B[2]-P)/(O-P),0],c.push(X[0],X[1]);var J;J=M?M[Y]:k[j],u.push(J[0],J[1],J[2]),h.push(j)}V+=1}}this.pointCount=q,this.edgeCount=H,this.triangleCount=V,this.pointPositions.update(g),this.pointColors.update(b),this.pointUVs.update(x),this.pointSizes.update(_),this.pointIds.update(new Uint32Array(w)),this.edgePositions.update(f),this.edgeColors.update(d),this.edgeUVs.update(p),this.edgeIds.update(new Uint32Array(m)),this.trianglePositions.update(s),this.triangleColors.update(l),this.triangleUVs.update(c),this.triangleNormals.update(u),this.triangleIds.update(new Uint32Array(h))}},P.drawTransparent=P.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||I,n=t.view||I,i=t.projection||I,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,contourColor:this.contourColor,texture:0};this.texture.bind(0);var l=new Array(16);b(l,s.view,s.model),b(l,s.projection,l),x(l,l);for(var o=0;o<3;++o)s.eyePosition[o]=l[12+o]/l[15];for(var u=l[15],o=0;o<3;++o)u+=this.lightPosition[o]*l[4*o+3];for(var o=0;o<3;++o){for(var c=l[12+o],h=0;h<3;++h)c+=l[4*h+o]*this.lightPosition[h];s.lightPosition[o]=c/u}if(this.triangleCount>0){var f=this.triShader;f.bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}if(this.edgeCount>0&&this.lineWidth>0){var f=this.lineShader;f.bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()}if(this.pointCount>0){var f=this.pointShader;f.bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()}if(this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0){var f=this.contourShader;f.bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind()}},P.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||I,n=t.view||I,i=t.projection||I,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255},l=this.pickShader;if(l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0){var l=this.pointPickShader;l.bind(),l.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()}},P.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=T(i,[t.coord[0],this._resolution[1]-t.coord[1]],this._model,this._view,this._projection,this._resolution);if(!o)return null;for(var s=o[2],l=0,a=0;a<r.length;++a)l+=s[a]*this.intensity[r[a]];return{position:o[1],index:r[o[0]],cell:r,cellId:e,intensity:l,dataCoordinate:this.positions[r[o[0]]]}},P.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},e.exports=d},{\"./lib/closest-point\":187,\"./lib/shaders\":188,colormap:92,\"gl-buffer\":141,\"gl-mat4/invert\":165,\"gl-mat4/multiply\":167,\"gl-shader\":239,\"gl-texture2d\":251,\"gl-vao\":255,ndarray:449,normals:451,\"simplicial-complex-contour\":498,\"typedarray-pool\":521}],190:[function(t,e,r){\"use strict\";function n(t,e,r){this.plot=t,this.vbo=e,this.shader=r}function i(t){var e=t.gl;return new n(t,a(e,[0,0,0,1,1,0,1,1]),o(e,s.boxVert,s.lineFrag))}e.exports=i;var a=t(\"gl-buffer\"),o=t(\"gl-shader\"),s=t(\"./shaders\"),l=n.prototype;l.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},l.drawBox=function(){var t=[0,0],e=[0,0];return function(r,n,i,a,o){var s=this.plot,l=this.shader,u=s.gl;t[0]=r,t[1]=n,e[0]=i,e[1]=a,l.uniforms.lo=t,l.uniforms.hi=e,l.uniforms.color=o,u.drawArrays(u.TRIANGLE_STRIP,0,4)}}(),l.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":193,\"gl-buffer\":141,\"gl-shader\":196}],191:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function i(t,e){return t-e}function a(t){var e=t.gl;return new n(t,o(e),s(e,u.gridVert,u.gridFrag),s(e,u.tickVert,u.gridFrag))}e.exports=a;var o=t(\"gl-buffer\"),s=t(\"gl-shader\"),l=t(\"binary-search-bounds\"),u=t(\"./shaders\"),c=n.prototype;c.draw=function(){var t=[0,0],e=[0,0],r=[0,0];return function(){for(var n=this.plot,i=this.vbo,a=this.shader,o=this.ticks,s=n.gl,l=n._tickBounds,u=n.dataBox,c=n.viewBox,h=n.gridLineWidth,f=n.gridLineColor,d=n.gridLineEnable,p=n.pixelRatio,m=0;m<2;++m){var g=l[m],v=l[m+2],y=v-g,b=.5*(u[m+2]+u[m]),x=u[m+2]-u[m];e[m]=2*y/x,t[m]=2*(g-b)/x}a.bind(),i.bind(),a.attributes.dataCoord.pointer(),a.uniforms.dataShift=t,a.uniforms.dataScale=e;for(var _=0,m=0;m<2;++m){r[0]=r[1]=0,r[m]=1,a.uniforms.dataAxis=r,a.uniforms.lineWidth=h[m]/(c[m+2]-c[m])*p,a.uniforms.color=f[m];var w=6*o[m].length;d[m]&&w&&s.drawArrays(s.TRIANGLES,_,w),_+=w}}}(),c.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],a=[0,0],o=[0,0];return function(){for(var s=this.plot,u=this.vbo,c=this.tickShader,h=this.ticks,f=s.gl,d=s._tickBounds,p=s.dataBox,m=s.viewBox,g=s.pixelRatio,v=s.screenBox,y=v[2]-v[0],b=v[3]-v[1],x=m[2]-m[0],_=m[3]-m[1],w=0;w<2;++w){var M=d[w],k=d[w+2],A=k-M,T=.5*(p[w+2]+p[w]),S=p[w+2]-p[w];e[w]=2*A/S,t[w]=2*(M-T)/S}e[0]*=x/y,t[0]*=x/y,e[1]*=_/b,t[1]*=_/b,c.bind(),u.bind(),c.attributes.dataCoord.pointer();var E=c.uniforms;E.dataShift=t,E.dataScale=e;var L=s.tickMarkLength,C=s.tickMarkWidth,z=s.tickMarkColor,D=6*h[0].length,I=Math.min(l.ge(h[0],(p[0]-d[0])/(d[2]-d[0]),i),h[0].length),P=Math.min(l.gt(h[0],(p[2]-d[0])/(d[2]-d[0]),i),h[0].length),O=0+6*I,j=6*Math.max(0,P-I),R=Math.min(l.ge(h[1],(p[1]-d[1])/(d[3]-d[1]),i),h[1].length),F=Math.min(l.gt(h[1],(p[3]-d[1])/(d[3]-d[1]),i),h[1].length),N=D+6*R,B=6*Math.max(0,F-R);a[0]=2*(m[0]-L[1])/y-1,a[1]=(m[3]+m[1])/b-1,o[0]=L[1]*g/y,o[1]=C[1]*g/b,B&&(E.color=z[1],E.tickScale=o,E.dataAxis=n,E.screenOffset=a,f.drawArrays(f.TRIANGLES,N,B)),a[0]=(m[2]+m[0])/y-1,a[1]=2*(m[1]-L[0])/b-1,o[0]=C[0]*g/y,o[1]=L[0]*g/b,j&&(E.color=z[0],E.tickScale=o,E.dataAxis=r,E.screenOffset=a,f.drawArrays(f.TRIANGLES,O,j)),a[0]=2*(m[2]+L[3])/y-1,a[1]=(m[3]+m[1])/b-1,o[0]=L[3]*g/y,o[1]=C[3]*g/b,B&&(E.color=z[3],E.tickScale=o,E.dataAxis=n,E.screenOffset=a,f.drawArrays(f.TRIANGLES,N,B)),a[0]=(m[2]+m[0])/y-1,a[1]=2*(m[3]+L[2])/b-1,o[0]=C[2]*g/y,o[1]=L[2]*g/b,j&&(E.color=z[2],E.tickScale=o,E.dataAxis=r,E.screenOffset=a,f.drawArrays(f.TRIANGLES,O,j))}}(),c.update=function(){var 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t=[0,0],e=[0,0];return function(r,n,i,a,o,s){var l=this.plot,u=this.shader,c=l.gl;t[0]=r,t[1]=n,e[0]=i,e[1]=a,u.uniforms.start=t,u.uniforms.end=e,u.uniforms.width=o*l.pixelRatio,u.uniforms.color=s,c.drawArrays(c.TRIANGLE_STRIP,0,4)}}(),l.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":193,\"gl-buffer\":141,\"gl-shader\":196}],193:[function(t,e,r){\"use strict\";var n=\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\";e.exports={lineVert:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * 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a=t(\"gl-buffer\"),o=t(\"gl-shader\"),s=t(\"text-cache\"),l=t(\"binary-search-bounds\"),u=t(\"./shaders\"),c=n.prototype;c.drawTicks=function(){var t=[0,0],e=[0,0],r=[0,0];return function(n){var i=this.plot,a=this.shader,o=this.tickX[n],s=this.tickOffset[n],u=i.gl,c=i.viewBox,h=i.dataBox,f=i.screenBox,d=i.pixelRatio,p=i.tickEnable,m=i.tickPad,g=i.tickColor,v=i.tickAngle,y=i.labelEnable,b=i.labelPad,x=i.labelColor,_=i.labelAngle,w=this.labelOffset[n],M=this.labelCount[n],k=l.lt(o,h[n]),A=l.le(o,h[n+2]);t[0]=t[1]=0,t[n]=1,e[n]=(c[2+n]+c[n])/(f[2+n]-f[n])-1;var T=2/f[2+(1^n)]-f[1^n];e[1^n]=T*c[1^n]-1,p[n]&&(e[1^n]-=T*d*m[n],k<A&&s[A]>s[k]&&(a.uniforms.dataAxis=t,a.uniforms.screenOffset=e,a.uniforms.color=g[n],a.uniforms.angle=v[n],u.drawArrays(u.TRIANGLES,s[k],s[A]-s[k]))),y[n]&&M&&(e[1^n]-=T*d*b[n],a.uniforms.dataAxis=r,a.uniforms.screenOffset=e,a.uniforms.color=x[n],a.uniforms.angle=_[n],u.drawArrays(u.TRIANGLES,w,M)),e[1^n]=T*c[2+(1^n)]-1,p[n+2]&&(e[1^n]+=T*d*m[n+2],k<A&&s[A]>s[k]&&(a.uniforms.dataAxis=t,a.uniforms.screenOffset=e,a.uniforms.color=g[n+2],a.uniforms.angle=v[n+2],u.drawArrays(u.TRIANGLES,s[k],s[A]-s[k]))),y[n+2]&&M&&(e[1^n]+=T*d*b[n+2],a.uniforms.dataAxis=r,a.uniforms.screenOffset=e,a.uniforms.color=x[n+2],a.uniforms.angle=_[n+2],u.drawArrays(u.TRIANGLES,w,M))}}(),c.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,u=r.pixelRatio;if(this.titleCount){for(var 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t=this.gl.lastAttribCount,e=0;e<t;e++)this.gl.disableVertexAttribArray(e);this.gl.lastAttribCount=0,this._fref&&this._fref.dispose(),this._vref&&this._vref.dispose(),this.attributes=this.types=this.vertShader=this.fragShader=this.program=this._relink=this._fref=this._vref=null},f.update=function(t,e,r,n){function a(){d.program=u.program(p,d._vref,d._fref,_,w);for(var t=0;t<r.length;++t)E[t]=p.getUniformLocation(d.program,r[t].name)}if(!e||1===arguments.length){var f=t;t=f.vertex,e=f.fragment,r=f.uniforms,n=f.attributes}var d=this,p=d.gl,m=d._vref;d._vref=u.shader(p,p.VERTEX_SHADER,t),m&&m.dispose(),d.vertShader=d._vref.shader;var g=this._fref;if(d._fref=u.shader(p,p.FRAGMENT_SHADER,e),g&&g.dispose(),d.fragShader=d._fref.shader,!r||!n){var v=p.createProgram();if(p.attachShader(v,d.fragShader),p.attachShader(v,d.vertShader),p.linkProgram(v),!p.getProgramParameter(v,p.LINK_STATUS)){var y=p.getProgramInfoLog(v);throw new h(y,\"Error linking 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gl.vertexAttrib\"+a+\"fv(v,x0)}\");var h=Function.apply(null,l),f=new n(t,e,r,i,a,h);Object.defineProperty(o,s,{set:function(e){return t.disableVertexAttribArray(i[r]),h(t,i[r],e),e},get:function(){return f},enumerable:!0})}function a(t,e,r,n,a,o,s){for(var l=new Array(a),u=new Array(a),c=0;c<a;++c)i(t,e,r[c],n,a,l,c),u[c]=l[c];Object.defineProperty(l,\"location\",{set:function(t){if(Array.isArray(t))for(var e=0;e<a;++e)u[e].location=t[e];else for(var e=0;e<a;++e)u[e].location=t+e;return t},get:function(){for(var t=new Array(a),e=0;e<a;++e)t[e]=n[r[e]];return t},enumerable:!0}),l.pointer=function(e,i,o,s){e=e||t.FLOAT,i=!!i,o=o||a*a,s=s||0;for(var l=0;l<a;++l){var u=n[r[l]];t.vertexAttribPointer(u,a,e,i,o,s+l*a),t.enableVertexAttribArray(u)}};var h=new Array(a),f=t[\"vertexAttrib\"+a+\"fv\"];Object.defineProperty(o,s,{set:function(e){for(var i=0;i<a;++i){var o=n[r[i]];if(t.disableVertexAttribArray(o),Array.isArray(e[0]))f.call(t,o,e[i]);else{for(var 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n=t.createShader(e);if(t.shaderSource(n,r),t.compileShader(n),!t.getShaderParameter(n,t.COMPILE_STATUS)){var i=t.getShaderInfoLog(n);try{var a=h(i,r,e)}catch(t){throw console.warn(\"Failed to format compiler error: \"+t),new c(i,\"Error compiling shader:\\n\"+i)}throw new c(i,a.short,a.long)}return n}function o(t,e,r,n,i){var a=t.createProgram();t.attachShader(a,e),t.attachShader(a,r);for(var o=0;o<n.length;++o)t.bindAttribLocation(a,i[o],n[o]);if(t.linkProgram(a),!t.getProgramParameter(a,t.LINK_STATUS)){var s=t.getProgramInfoLog(a);throw new c(s,\"Error linking program: \"+s)}return a}function s(t){var e=d.get(t);return e||(e=new i(t),d.set(t,e)),e}function l(t,e,r){return s(t).getShaderReference(e,r)}function u(t,e,r,n,i){return s(t).getProgram(e,r,n,i)}r.shader=l,r.program=u;var c=t(\"./GLError\"),h=t(\"gl-format-compiler-error\"),f=\"undefined\"==typeof WeakMap?t(\"weakmap-shim\"):WeakMap,d=new f,p=0;n.prototype.dispose=function(){if(0==--this.count){for(var t=this.cache,e=t.gl,r=this.programs,n=0,i=r.length;n<i;++n){var a=t.programs[r[n]];a&&(delete t.programs[n],e.deleteProgram(a))}e.deleteShader(this.shader),delete t.shaders[this.type===e.FRAGMENT_SHADER|0][this.src]}};var m=i.prototype;m.getShaderReference=function(t,e){var r=this.gl,i=this.shaders[t===r.FRAGMENT_SHADER|0],o=i[e];if(o&&r.isShader(o.shader))o.count+=1;else{var s=a(r,t,e);o=i[e]=new n(p++,e,t,s,[],1,this)}return o},m.getProgram=function(t,e,r,n){var i=[t.id,e.id,r.join(\":\"),n.join(\":\")].join(\"@\"),a=this.programs[i];return a&&this.gl.isProgram(a)||(this.programs[i]=a=o(this.gl,t.shader,e.shader,r,n),t.programs.push(i),e.programs.push(i)),a}},{\"./GLError\":197,\"gl-format-compiler-error\":149,\"weakmap-shim\":542}],203:[function(t,e,r){\"use strict\";function 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t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var u=this.borderColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT),t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var c=this.backgroundColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var h=this.zeroLineEnable,f=this.zeroLineColor,d=this.zeroLineWidth;if(h[0]||h[1]){o.bind();for(var p=0;p<2;++p)if(h[p]&&n[p]<=0&&n[p+2]>=0){var m=e[p]-n[p]*(e[p+2]-e[p])/(n[p+2]-n[p]);0===p?o.drawLine(m,e[1],m,e[3],d[p],f[p]):o.drawLine(e[0],m,e[2],m,d[p],f[p])}}for(var p=0;p<l.length;++p)l[p].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,v=this.borderLineWidth,y=this.borderLineColor;g[1]&&o.drawLine(r[0],r[1]-.5*v[1]*i,r[0],r[3]+.5*v[3]*i,v[1],y[1]),g[0]&&o.drawLine(r[0]-.5*v[0]*i,r[1],r[2]+.5*v[2]*i,r[1],v[0],y[0]),\n",
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e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},f.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},f.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},f.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]);this.screenBox;this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,o=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/o,10,10/o]),this.borderColor=(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=i(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=i(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=i(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t&&!t.titleEnable),this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=i(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=i(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=i(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var s=t.ticks||[[],[]],l=this._tickBounds;l[0]=l[1]=1/0,l[2]=l[3]=-1/0;for(var u=0;u<2;++u){var c=s[u].slice(0);0!==c.length&&(c.sort(a),l[u]=Math.min(l[u],c[0].x),l[u+2]=Math.max(l[u+2],c[c.length-1].x))}this.grid.update({bounds:l,ticks:s}),this.text.update({bounds:l,ticks:s,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\"}),this.static=!!t.static,this.setDirty()},f.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();this.objects.length=0;for(var t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},f.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},f.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},f.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},f.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},{\"./lib/box\":190,\"./lib/grid\":191,\"./lib/line\":192,\"./lib/text\":194,\"gl-select-static\":238}],204:[function(t,e,r){var n=t(\"gl-shader\");e.exports=function(t){return n(t,\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\",\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\",null,[{name:\"position\",type:\"vec2\"}])}},{\"gl-shader\":239}],205:[function(t,e,r){\"use strict\";function n(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function i(t,e){var r=null;try{r=t.getContext(\"webgl\",e),r||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}function a(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){var r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function o(t){return\"boolean\"!=typeof t||t}function s(t){function e(){if(!w&&G.autoResize){var t=M.parentNode,e=1,r=1;t&&t!==document.body?(e=t.clientWidth,r=t.clientHeight):(e=window.innerWidth,r=window.innerHeight);var n=0|Math.ceil(e*G.pixelRatio),i=0|Math.ceil(r*G.pixelRatio);if(n!==M.width||i!==M.height){M.width=n,M.height=i;var a=M.style;a.position=a.position||\"absolute\",a.left=\"0px\",a.top=\"0px\",a.width=e+\"px\",a.height=r+\"px\",N=!0}}}function r(){for(var t=O.length,e=F.length,r=0;r<e;++r)R[r]=0;t:for(var r=0;r<t;++r){var n=O[r],i=n.pickSlots;if(i){for(var a=0;a<e;++a)if(R[a]+i<255){j[r]=a,n.setPickBase(R[a]+1),R[a]+=i;continue t}var o=f(A,q);j[r]=e,F.push(o),R.push(i),n.setPickBase(1),e+=1}else j[r]=-1}for(;e>0&&0===R[e-1];)R.pop(),F.pop().dispose()}function s(){if(G.contextLost)return!0;A.isContextLost()&&(G.contextLost=!0,G.mouseListener.enabled=!1,G.selection.object=null,G.oncontextloss&&G.oncontextloss())}function b(){if(!s()){A.colorMask(!0,!0,!0,!0),A.depthMask(!0),A.disable(A.BLEND),A.enable(A.DEPTH_TEST);for(var t=O.length,e=F.length,r=0;r<e;++r){var n=F[r];n.shape=Y,n.begin();for(var i=0;i<t;++i)if(j[i]===r){var a=O[i];a.drawPick&&(a.pixelRatio=1,a.drawPick(H))}n.end()}}}function x(){if(!s()){e();var t=G.camera.tick();H.view=G.camera.matrix,N=N||t,B=B||t,D.pixelRatio=G.pixelRatio,P.pixelRatio=G.pixelRatio;var r=O.length,n=Z[0],i=Z[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<r;++o){var l=O[o];l.pixelRatio=G.pixelRatio,l.axes=G.axes,N=N||!!l.dirty,B=B||!!l.dirty;var u=l.bounds;if(u)for(var h=u[0],f=u[1],d=0;d<3;++d)n[d]=Math.min(n[d],h[d]),i[d]=Math.max(i[d],f[d])}var m=G.bounds;if(G.autoBounds)for(var d=0;d<3;++d){if(i[d]<n[d])n[d]=-1,i[d]=1;else{n[d]===i[d]&&(n[d]-=1,i[d]+=1);var v=.05*(i[d]-n[d]);n[d]=n[d]-v,i[d]=i[d]+v}m[0][d]=n[d],m[1][d]=i[d]}for(var y=!1,d=0;d<3;++d)y=y||J[0][d]!==m[0][d]||J[1][d]!==m[1][d],J[0][d]=m[0][d],J[1][d]=m[1][d];if(B=B||y,N=N||y){if(y){for(var x=[0,0,0],o=0;o<3;++o)x[o]=a((m[1][o]-m[0][o])/10);D.autoTicks?D.update({bounds:m,tickSpacing:x}):D.update({bounds:m})}var _=A.drawingBufferWidth,w=A.drawingBufferHeight;q[0]=_,q[1]=w,Y[0]=0|Math.max(_/G.pixelRatio,1),Y[1]=0|Math.max(w/G.pixelRatio,1),g(U,G.fovy,_/w,G.zNear,G.zFar);for(var o=0;o<16;++o)V[o]=0;V[15]=1;for(var M=0,o=0;o<3;++o)M=Math.max(M,m[1][o]-m[0][o]);for(var o=0;o<3;++o)G.autoScale?V[5*o]=G.aspect[o]/(m[1][o]-m[0][o]):V[5*o]=1/M,G.autoCenter&&(V[12+o]=.5*-V[5*o]*(m[0][o]+m[1][o]));for(var o=0;o<r;++o){var l=O[o];l.axesBounds=m,G.clipToBounds&&(l.clipBounds=m)}S.object&&(G.snapToData?P.position=S.dataCoordinate:P.position=S.dataPosition,P.bounds=m),B&&(B=!1,b()),G.axesPixels=c(G.axes,H,_,w),G.onrender&&G.onrender(),A.bindFramebuffer(A.FRAMEBUFFER,null),A.viewport(0,0,_,w);var k=G.clearColor;A.clearColor(k[0],k[1],k[2],k[3]),A.clear(A.COLOR_BUFFER_BIT|A.DEPTH_BUFFER_BIT),A.depthMask(!0),A.colorMask(!0,!0,!0,!0),A.enable(A.DEPTH_TEST),A.depthFunc(A.LEQUAL),A.disable(A.BLEND),A.disable(A.CULL_FACE);var T=!1;D.enable&&(T=T||D.isTransparent(),D.draw(H)),P.axes=D,S.object&&P.draw(H),A.disable(A.CULL_FACE);for(var o=0;o<r;++o){var l=O[o];l.axes=D,l.pixelRatio=G.pixelRatio,l.isOpaque&&l.isOpaque()&&l.draw(H),l.isTransparent&&l.isTransparent()&&(T=!0)}if(T){E.shape=q,E.bind(),A.clear(A.DEPTH_BUFFER_BIT),A.colorMask(!1,!1,!1,!1),A.depthMask(!0),A.depthFunc(A.LESS),D.enable&&D.isTransparent()&&D.drawTransparent(H);for(var o=0;o<r;++o){var l=O[o];l.isOpaque&&l.isOpaque()&&l.draw(H)}A.enable(A.BLEND),A.blendEquation(A.FUNC_ADD),A.blendFunc(A.ONE,A.ONE_MINUS_SRC_ALPHA),A.colorMask(!0,!0,!0,!0),A.depthMask(!1),A.clearColor(0,0,0,0),A.clear(A.COLOR_BUFFER_BIT),D.isTransparent()&&D.drawTransparent(H);for(var o=0;o<r;++o){var l=O[o];l.isTransparent&&l.isTransparent()&&l.drawTransparent(H)}A.bindFramebuffer(A.FRAMEBUFFER,null),A.blendFunc(A.ONE,A.ONE_MINUS_SRC_ALPHA),A.disable(A.DEPTH_TEST),L.bind(),E.color[0].bind(0),L.uniforms.accumBuffer=0,p(A),A.disable(A.BLEND)}N=!1;for(var o=0;o<r;++o)O[o].dirty=!1}}}function _(){w||G.contextLost||(requestAnimationFrame(_),x())}t=t||{};var w=!1,M=(t.pixelRatio||parseFloat(window.devicePixelRatio),t.canvas);if(!M)if(M=document.createElement(\"canvas\"),t.container){var k=t.container;k.appendChild(M)}else document.body.appendChild(M);var A=t.gl;if(A||(A=i(M,t.glOptions||{premultipliedAlpha:!0,antialias:!0})),!A)throw new Error(\"webgl not supported\");var T=t.bounds||[[-10,-10,-10],[10,10,10]],S=new n,E=d(A,[A.drawingBufferWidth,A.drawingBufferHeight],{preferFloat:!y}),L=v(A),C=t.camera||{eye:[2,0,0],center:[0,0,0],up:[0,1,0],zoomMin:.1,zoomMax:100,mode:\"turntable\"},z=t.axes||{},D=u(A,z);D.enable=!z.disable;var I=t.spikes||{},P=h(A,I),O=[],j=[],R=[],F=[],N=!0,B=!0,U=new Array(16),V=new Array(16),H={view:null,projection:U,model:V},B=!0,q=[A.drawingBufferWidth,A.drawingBufferHeight],G={gl:A,contextLost:!1,pixelRatio:t.pixelRatio||parseFloat(window.devicePixelRatio),canvas:M,selection:S,camera:l(M,C),axes:D,axesPixels:null,spikes:P,bounds:T,objects:O,shape:q,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:o(t.autoResize),autoBounds:o(t.autoBounds),autoScale:!!t.autoScale,autoCenter:o(t.autoCenter),clipToBounds:o(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:H,oncontextloss:null,mouseListener:null},Y=[A.drawingBufferWidth/G.pixelRatio|0,A.drawingBufferHeight/G.pixelRatio|0];G.autoResize&&e(),window.addEventListener(\"resize\",e),G.update=function(t){w||(t=t||{},N=!0,B=!0)},G.add=function(t){w||(t.axes=D,O.push(t),j.push(-1),N=!0,B=!0,r())},G.remove=function(t){if(!w){var e=O.indexOf(t);e<0||(O.splice(e,1),j.pop(),N=!0,B=!0,r())}},G.dispose=function(){if(!w&&(w=!0,window.removeEventListener(\"resize\",e),M.removeEventListener(\"webglcontextlost\",s),G.mouseListener.enabled=!1,!G.contextLost)){D.dispose(),P.dispose();for(var t=0;t<O.length;++t)O[t].dispose();E.dispose();for(var t=0;t<F.length;++t)F[t].dispose();L.dispose(),A=null,D=null,P=null,O=[]}};var W=!1,X=0;G.mouseListener=m(M,function(t,e,r){if(!w){var n=F.length,i=O.length,a=S.object;S.distance=1/0,S.mouse[0]=e,S.mouse[1]=r,S.object=null,S.screen=null,S.dataCoordinate=S.dataPosition=null;var o=!1;if(t&&X)W=!0;else{W&&(B=!0),W=!1;for(var s=0;s<n;++s){var l=F[s].query(e,Y[1]-r-1,G.pickRadius);if(l){if(l.distance>S.distance)continue;for(var u=0;u<i;++u){var c=O[u];if(j[u]===s){var h=c.pick(l);h&&(S.buttons=t,S.screen=l.coord,S.distance=l.distance,S.object=c,S.index=h.distance,S.dataPosition=h.position,S.dataCoordinate=h.dataCoordinate,S.data=h,o=!0)}}}}}a&&a!==S.object&&(a.highlight&&a.highlight(null),N=!0),S.object&&(S.object.highlight&&S.object.highlight(S.data),N=!0),o=o||S.object!==a,o&&G.onselect&&G.onselect(S),1&t&&!(1&X)&&G.onclick&&G.onclick(S),X=t}}),M.addEventListener(\"webglcontextlost\",s);var Z=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],J=[Z[0].slice(),Z[1].slice()];return _(),G.redraw=function(){w||(N=!0,x())},G}e.exports=s;var l=t(\"3d-view-controls\"),u=t(\"gl-axes3d\"),c=t(\"gl-axes3d/properties\"),h=t(\"gl-spikes3d\"),f=t(\"gl-select-static\"),d=t(\"gl-fbo\"),p=t(\"a-big-triangle\"),m=t(\"mouse-change\"),g=t(\"gl-mat4/perspective\"),v=t(\"./lib/shader\"),y=t(\"is-mobile\")()},{\"./lib/shader\":204,\"3d-view-controls\":32,\"a-big-triangle\":34,\"gl-axes3d\":133,\"gl-axes3d/properties\":140,\"gl-fbo\":148,\"gl-mat4/perspective\":168,\"gl-select-static\":238,\"gl-spikes3d\":248,\"is-mobile\":278,\"mouse-change\":434}],206:[function(t,e,r){r.pointVertex=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\",r.pointFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\",r.pickVertex=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\",r.pickFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"},{}],207:[function(t,e,r){arguments[4][196][0].apply(r,arguments)},{\"./lib/GLError\":208,\"./lib/create-attributes\":209,\"./lib/create-uniforms\":210,\"./lib/reflect\":211,\"./lib/runtime-reflect\":212,\"./lib/shader-cache\":213,dup:196}],208:[function(t,e,r){arguments[4][197][0].apply(r,arguments)},{dup:197}],209:[function(t,e,r){arguments[4][198][0].apply(r,arguments)},{\"./GLError\":208,dup:198}],210:[function(t,e,r){arguments[4][199][0].apply(r,arguments)},{\"./GLError\":208,\"./reflect\":211,dup:199}],211:[function(t,e,r){arguments[4][200][0].apply(r,arguments)},{dup:200}],212:[function(t,e,r){arguments[4][201][0].apply(r,arguments)},{dup:201}],213:[function(t,e,r){arguments[4][202][0].apply(r,arguments)},{\"./GLError\":208,dup:202,\"gl-format-compiler-error\":149,\"weakmap-shim\":542}],214:[function(t,e,r){\"use strict\";function n(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}function i(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}function a(t,e){var r=t.gl,i=s(r),a=s(r),l=o(r,u.pointVertex,u.pointFragment),c=o(r,u.pickVertex,u.pickFragment),h=new n(t,i,a,l,c);return h.update(e),t.addObject(h),h}var o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"typedarray-pool\"),u=t(\"./lib/shader\");e.exports=a;var c=n.prototype;c.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},c.update=function(t){function e(e,r){return e in t?t[e]:r}var r;t=t||{},this.sizeMin=e(\"sizeMin\",.5),this.sizeMax=e(\"sizeMax\",20),this.color=e(\"color\",[1,0,0,1]).slice(),this.areaRatio=e(\"areaRatio\",1),this.borderColor=e(\"borderColor\",[0,0,0,1]).slice(),this.blend=e(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,a=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,o=t.positions,s=i?o:l.mallocFloat32(o.length),u=a?t.idToIndex:l.mallocInt32(n);if(i||s.set(o),!a)for(s.set(o),r=0;r<n;r++)u[r]=r;this.points=o,this.offsetBuffer.update(s),this.pickBuffer.update(u),i||l.free(s),a||l.free(u),this.pointCount=n,this.pickOffset=0},c.unifiedDraw=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=void 0!==r,a=n?this.pickShader:this.shader,o=this.plot.gl,s=this.plot.dataBox;if(0===this.pointCount)return r;var l=s[2]-s[0],u=s[3]-s[1],c=i(this.points,s),h=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(c,.33333)));t[0]=2/l,t[4]=2/u,t[6]=-2*s[0]/l-1,t[7]=-2*s[1]/u-1,this.offsetBuffer.bind(),a.bind(),a.attributes.position.pointer(),a.uniforms.matrix=t,a.uniforms.color=this.color,a.uniforms.borderColor=this.borderColor,a.uniforms.pointCloud=h<5,a.uniforms.pointSize=h,a.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),n&&(e[0]=255&r,e[1]=r>>8&255,e[2]=r>>16&255,e[3]=r>>24&255,this.pickBuffer.bind(),a.attributes.pickId.pointer(o.UNSIGNED_BYTE),a.uniforms.pickOffset=e,this.pickOffset=r);var f=o.getParameter(o.BLEND),d=o.getParameter(o.DITHER);return f&&!this.blend&&o.disable(o.BLEND),d&&o.disable(o.DITHER),o.drawArrays(o.POINTS,0,this.pointCount),f&&!this.blend&&o.enable(o.BLEND),d&&o.enable(o.DITHER),r+this.pointCount}}(),c.draw=c.unifiedDraw,c.drawPick=c.unifiedDraw,c.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},{\"./lib/shader\":206,\"gl-buffer\":141,\"gl-shader\":207,\"typedarray-pool\":521}],215:[function(t,e,r){function n(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],h=e[2],f=e[3],d=r[0],p=r[1],m=r[2],g=r[3];return a=u*d+c*p+h*m+f*g,a<0&&(a=-a,d=-d,p=-p,m=-m,g=-g),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*u+l*d,t[1]=s*c+l*p,t[2]=s*h+l*m,t[3]=s*f+l*g,t}e.exports=n},{}],216:[function(t,e,r){\"use strict\";e.exports={vertex:\"precision highp float;\\n#define GLSLIFY 1\\n\\n\\nvec4 computePosition_1_0(vec2 posHi, vec2 posLo, vec2 scHi, vec2 scLo, vec2 trHi, vec2 trLo) {\\n  return vec4((posHi + trHi) * scHi\\n  \\t\\t\\t//FIXME: this thingy does not give noticeable precision gain, need test\\n            + (posLo + trLo) * scHi\\n            + (posHi + trHi) * scLo\\n            + (posLo + trLo) * scLo\\n            , 0, 1);\\n}\\n\\n\\nattribute vec2 positionHi, positionLo;\\nattribute float size, border;\\nattribute vec2 char, color;\\n\\n//this is 64-bit form of scale and translate\\nuniform vec2 scaleHi, scaleLo, translateHi, translateLo;\\nuniform float pixelRatio;\\nuniform vec4 viewBox;\\nuniform sampler2D palette;\\n\\nvarying vec4 charColor, borderColor;\\nvarying vec2 charId;\\nvarying vec2 pointCoord;\\nvarying float pointSize;\\nvarying float borderWidth;\\n\\n\\nvoid main() {\\n  charColor = texture2D(palette, vec2(color.x / 255., 0));\\n  borderColor = texture2D(palette, vec2(color.y / 255., 0));\\n\\n  gl_PointSize = size * pixelRatio;\\n  pointSize = size * pixelRatio;\\n\\n  charId = char;\\n  borderWidth = border;\\n\\n  gl_Position = computePosition_1_0(\\n    positionHi, positionLo,\\n    scaleHi, scaleLo,\\n    translateHi, translateLo);\\n\\n  pointCoord = viewBox.xy + (viewBox.zw - viewBox.xy) * (gl_Position.xy * .5 + .5);\\n}\\n\",fragment:\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D chars;\\nuniform vec2 charsShape;\\nuniform float charsStep, pixelRatio, charOffset;\\n\\nvarying vec4 borderColor;\\nvarying vec4 charColor;\\nvarying vec2 charId;\\nvarying vec2 pointCoord;\\nvarying float pointSize;\\nvarying float borderWidth;\\n\\nvoid main() {\\n\\tvec2 pointUV = (pointCoord - gl_FragCoord.xy + pointSize * .5) / pointSize;\\n\\tpointUV.x = 1. - pointUV.x;\\n\\tpointUV.y += charOffset;\\n\\tvec2 texCoord = ((charId + pointUV) * charsStep) / charsShape;\\n\\tfloat dist = texture2D(chars, texCoord).r;\\n\\n\\t//max-distance alpha\\n\\tif (dist < 1e-2)\\n\\t\\tdiscard;\\n\\n\\tfloat dif = 5. * pixelRatio * borderWidth / pointSize;\\n\\tfloat borderLevel = .748 - dif * .5;\\n\\tfloat charLevel = .748 + dif * .5;\\n\\tfloat gamma = .005 * charsStep / pointSize;\\n\\n\\tfloat borderAmt = smoothstep(borderLevel - gamma, borderLevel + gamma, dist);\\n\\tfloat charAmt = smoothstep(charLevel - gamma, charLevel + gamma, dist);\\n\\n\\tvec4 color = borderColor;\\n\\tcolor.a *= borderAmt;\\n\\n\\tgl_FragColor = mix(color, charColor, charAmt);\\n}\\n\",pickVertex:\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 positionHi, positionLo;\\nattribute vec4 id;\\nattribute float size;\\n\\nuniform vec2 scaleHi, scaleLo, translateHi, translateLo;\\nuniform vec4 pickOffset;\\nuniform float pixelRatio;\\n\\nvarying vec4 fragColor;\\n\\n\\nvec4 computePosition_1_0(vec2 posHi, vec2 posLo, vec2 scHi, vec2 scLo, vec2 trHi, vec2 trLo) {\\n  return vec4((posHi + trHi) * scHi\\n  \\t\\t\\t//FIXME: this thingy does not give noticeable precision gain, need test\\n            + (posLo + trLo) * scHi\\n            + (posHi + trHi) * scLo\\n            + (posLo + trLo) * scLo\\n            , 0, 1);\\n}\\n\\n\\nvoid main() {\\n  vec4 fragId = id + pickOffset;\\n\\n  fragId.y += floor(fragId.x / 256.0);\\n  fragId.x -= floor(fragId.x / 256.0) * 256.0;\\n\\n  fragId.z += floor(fragId.y / 256.0);\\n  fragId.y -= floor(fragId.y / 256.0) * 256.0;\\n\\n  fragId.w += floor(fragId.z / 256.0);\\n  fragId.z -= floor(fragId.z / 256.0) * 256.0;\\n\\n  fragColor = fragId / 255.0;\\n\\n  gl_PointSize = size * .25 * pixelRatio;\\n\\n  gl_Position = computePosition_1_0(\\n    positionHi, positionLo,\\n    scaleHi, scaleLo,\\n    translateHi, translateLo);\\n}\\n\",pickFragment:\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = fragColor;\\n}\\n\"}},{}],217:[function(t,e,r){arguments[4][77][0].apply(r,arguments)},{dup:77}],218:[function(t,e,r){arguments[4][196][0].apply(r,arguments)},{\"./lib/GLError\":219,\"./lib/create-attributes\":220,\"./lib/create-uniforms\":221,\"./lib/reflect\":222,\"./lib/runtime-reflect\":223,\"./lib/shader-cache\":224,dup:196}],219:[function(t,e,r){arguments[4][197][0].apply(r,arguments)},{dup:197}],220:[function(t,e,r){arguments[4][198][0].apply(r,arguments)},{\"./GLError\":219,dup:198}],221:[function(t,e,r){arguments[4][199][0].apply(r,arguments)},{\"./GLError\":219,\"./reflect\":222,dup:199}],222:[function(t,e,r){arguments[4][200][0].apply(r,arguments)},{dup:200}],223:[function(t,e,r){arguments[4][201][0].apply(r,arguments)},{dup:201}],224:[function(t,e,r){arguments[4][202][0].apply(r,arguments)},{\"./GLError\":219,dup:202,\"gl-format-compiler-error\":149,\"weakmap-shim\":542}],225:[function(t,e,r){\"use strict\";function n(t,e,r,n,a){a<=4*f?i(0,a-1,t,e,r,n):h(0,a-1,t,e,r,n)}function i(t,e,r,n,i,a){for(var o=t+1;o<=e;++o){for(var s=r[o],l=n[2*o],u=n[2*o+1],c=i[o],h=a[o],f=o;f>t;){var d=r[f-1],p=n[2*(f-1)];if((d-s||l-p)>=0)break;r[f]=d,n[2*f]=p,n[2*f+1]=n[2*f-1],i[f]=i[f-1],a[f]=a[f-1],f-=1}r[f]=s,n[2*f]=l,n[2*f+1]=u,i[f]=c,a[f]=h}}function a(t,e,r,n,i,a){var o=r[t],s=n[2*t],l=n[2*t+1],u=i[t],c=a[t];r[t]=r[e],n[2*t]=n[2*e],n[2*t+1]=n[2*e+1],i[t]=i[e],a[t]=a[e],r[e]=o,n[2*e]=s,n[2*e+1]=l,i[e]=u,a[e]=c}function o(t,e,r,n,i,a){r[t]=r[e],n[2*t]=n[2*e],n[2*t+1]=n[2*e+1],i[t]=i[e],a[t]=a[e]}function s(t,e,r,n,i,a,o){var s=n[t],l=i[2*t],u=i[2*t+1],c=a[t],h=o[t];n[t]=n[e],i[2*t]=i[2*e],i[2*t+1]=i[2*e+1],a[t]=a[e],o[t]=o[e],n[e]=n[r],i[2*e]=i[2*r],i[2*e+1]=i[2*r+1],a[e]=a[r],o[e]=o[r],n[r]=s,i[2*r]=l,i[2*r+1]=u,a[r]=c,o[r]=h}function l(t,e,r,n,i,a,o,s,l,u,c){s[t]=s[e],l[2*t]=l[2*e],l[2*t+1]=l[2*e+1],u[t]=u[e],c[t]=c[e],s[e]=r,l[2*e]=n,l[2*e+1]=i,u[e]=a,c[e]=o}function u(t,e,r,n,i){return(r[t]-r[e]||n[2*e]-n[2*t]||i[t]-i[e])<0}function c(t,e,r,n,i,a,o,s){return(e-a[t]||o[2*t]-r||i-s[t])<0}function h(t,e,r,n,d,p){var m=(e-t+1)/6|0,g=t+m,v=e-m,y=t+e>>1,b=y-m,x=y+m,_=g,w=b,M=y,k=x,A=v,T=t+1,S=e-1,E=0;u(_,w,r,n,d,p)&&(E=_,_=w,w=E),u(k,A,r,n,d,p)&&(E=k,k=A,A=E),u(_,M,r,n,d,p)&&(E=_,_=M,M=E),u(w,M,r,n,d,p)&&(E=w,w=M,M=E),u(_,k,r,n,d,p)&&(E=_,_=k,k=E),u(M,k,r,n,d,p)&&(E=M,M=k,k=E),u(w,A,r,n,d,p)&&(E=w,w=A,A=E),u(w,M,r,n,d,p)&&(E=w,w=M,M=E),u(k,A,r,n,d,p)&&(E=k,k=A,A=E);var L=r[w],C=n[2*w],z=n[2*w+1],D=d[w],I=p[w],P=r[k],O=n[2*k],j=n[2*k+1],R=d[k],F=p[k],N=_,B=M,U=A,V=g,H=y,q=v,G=r[N],Y=r[B],W=r[U];r[V]=G,r[H]=Y,r[q]=W;for(var X=0;X<2;++X){var Z=n[2*N+X],J=n[2*B+X],Q=n[2*U+X];n[2*V+X]=Z,n[2*H+X]=J,n[2*q+X]=Q}var K=d[N],$=d[B],tt=d[U];d[V]=K,d[H]=$,d[q]=tt;var et=p[N],rt=p[B],nt=p[U];p[V]=et,p[H]=rt,p[q]=nt,o(b,t,r,n,d,p),o(x,e,r,n,d,p);for(var it=T;it<=S;++it)if(c(it,L,C,z,D,r,n,d))it!==T&&a(it,T,r,n,d,p),++T;else if(!c(it,P,O,j,R,r,n,d))for(;;){if(c(S,P,O,j,R,r,n,d)){c(S,L,C,z,D,r,n,d)?(s(it,T,S,r,n,d,p),++T,--S):(a(it,S,r,n,d,p),--S);break}if(--S<it)break}l(t,T-1,L,C,z,D,I,r,n,d,p),l(e,S+1,P,O,j,R,F,r,n,d,p),T-2-t<=f?i(t,T-2,r,n,d,p):h(t,T-2,r,n,d,p),e-(S+2)<=f?i(S+2,e,r,n,d,p):h(S+2,e,r,n,d,p),S-T<=f?i(T,S,r,n,d,p):h(T,S,r,n,d,p)}e.exports=n;var f=32},{}],226:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s){for(var l=r,u=r;u<n;++u){var c=t[2*u],h=t[2*u+1],f=e[u];i<=c&&c<=o&&a<=h&&h<=s&&(u===l?l+=1:(t[2*u]=t[2*l],t[2*u+1]=t[2*l+1],e[u]=e[l],t[2*l]=c,t[2*l+1]=h,e[l]=f,l+=1))}return l}function i(t,e,r){this.pixelSize=t,this.offset=e,this.count=r}function a(t,e,r,a){function l(i,a,o,s,u,c){var h=.5*o,f=s+1,d=u-s;r[_]=d,x[_++]=c;for(var p=0;p<2;++p)for(var m=0;m<2;++m){var g=i+p*h,v=a+m*h,y=n(t,e,f,u,g,v,g+h,v+h);if(y!==f){if(y-f>=Math.max(.9*d,32)){var b=u+s>>>1;l(g,v,h,f,b,c+1),f=b}l(g,v,h,f,y,c+1),f=y}}}var u=t.length>>>1;if(u<1)return[];for(var c=1/0,h=1/0,f=-1/0,d=-1/0,p=0;p<u;++p){var m=t[2*p],g=t[2*p+1];c=Math.min(c,m),f=Math.max(f,m),h=Math.min(h,g),d=Math.max(d,g),e[p]=p}c===f&&(f+=1+Math.abs(f)),h===d&&(d+=1+Math.abs(f));var v=1/(f-c),y=1/(d-h),b=Math.max(f-c,d-h);a=a||[0,0,0,0],a[0]=c,a[1]=h,a[2]=f,a[3]=d;var x=o.mallocInt32(u),_=0;l(c,h,b,0,u,0),s(x,t,e,r,u);for(var w=[],M=0,k=u,_=u-1;_>=0;--_){t[2*_]=(t[2*_]-c)*v,t[2*_+1]=(t[2*_+1]-h)*y;var A=x[_];A!==M&&(w.push(new i(b*Math.pow(.5,A),_+1,k-(_+1))),k=_+1,M=A)}return w.push(new i(b*Math.pow(.5,A+1),0,k)),o.free(x),w}var o=t(\"typedarray-pool\"),s=t(\"./lib/sort\");e.exports=a},{\"./lib/sort\":225,\"typedarray-pool\":521}],227:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.sizeBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.charBuffer=s,this.pointCount=0,this.pickOffset=0,this.points=null,this.scales=[],this.xCoords=[],this.charCanvas=document.createElement(\"canvas\"),this.charTexture=h(this.plot.gl,this.charCanvas),this.charStep=400,this.charOffset=.032,this.snapThreshold=1e4,this.paletteTexture=h(this.plot.gl,[256,1])}function i(t,e){var r=t.gl,i=a(r,l.vertex,l.fragment),s=a(r,l.pickVertex,l.pickFragment),u=o(r),c=o(r),h=o(r),f=o(r),d=o(r),p=new n(t,i,s,u,c,h,f,d);return p.update(e),t.addObject(p),p}e.exports=i;var a=t(\"gl-shader\"),o=t(\"gl-buffer\"),s=t(\"typedarray-pool\"),l=t(\"./lib/shaders\"),u=t(\"snap-points-2d\"),c=t(\"font-atlas-sdf\"),h=t(\"gl-texture2d\"),f=t(\"color-id\"),d=t(\"ndarray\"),p=t(\"clamp\"),m=t(\"binary-search-bounds\"),g=n.prototype;!function(){function t(){var t=this.plot,u=t.viewBox,c=t.dataBox,h=t.pixelRatio,f=c[2]-c[0],d=c[3]-c[1],p=2/f,m=2/d,g=-c[0]-.5*f,v=-c[1]-.5*d;i[0]=p,a[0]=p-i[0],i[1]=m,a[1]=m-i[1],o[0]=g,s[0]=g-o[0],o[1]=v,s[1]=v-o[1];var y=u[2]-u[0],b=u[3]-u[1];e=Math.min(f/y,d/b),l[0]=2*h/y,l[1]=2*h/b,r=c[0],n=c[2]}var e,r,n,i=new Float32Array([0,0]),a=new Float32Array([0,0]),o=new Float32Array([0,0]),s=new Float32Array([0,0]),l=[0,0],u=[0,0,0,0];g.drawPick=function(l){var c=void 0!==l,h=this.plot,f=this.pointCount,d=f>this.snapThreshold;if(!f)return l;t.call(this);var p=h.gl,g=c?this.pickShader:this.shader,v=p.isEnabled(p.BLEND);if(g.bind(),c){this.pickOffset=l;for(var y=0;y<4;++y)u[y]=l>>8*y&255;g.uniforms.pickOffset=u,this.idBuffer.bind(),g.attributes.id.pointer(p.UNSIGNED_BYTE,!1)}else p.blendFuncSeparate(p.SRC_ALPHA,p.ONE_MINUS_SRC_ALPHA,p.ONE,p.ONE_MINUS_SRC_ALPHA),p.blendColor(0,0,0,1),v||p.enable(p.BLEND),this.colorBuffer.bind(),g.attributes.color.pointer(p.UNSIGNED_BYTE,!1),this.charBuffer.bind(),g.attributes.char.pointer(p.UNSIGNED_BYTE,!1),g.uniforms.chars=this.charTexture.bind(0),g.uniforms.charsShape=[this.charCanvas.width,this.charCanvas.height],g.uniforms.charsStep=this.charStep,g.uniforms.palette=this.paletteTexture.bind(1),g.uniforms.charOffset=this.charOffset;this.sizeBuffer.bind(),g.attributes.size.pointer(p.FLOAT,!1,8,0),c||g.attributes.border.pointer(p.FLOAT,!1,8,4),this.positionBuffer.bind(),g.attributes.positionHi.pointer(p.FLOAT,!1,16,0),g.attributes.positionLo.pointer(p.FLOAT,!1,16,8),g.uniforms.pixelRatio=h.pixelRatio,g.uniforms.scaleHi=i,g.uniforms.scaleLo=a,g.uniforms.translateHi=o,g.uniforms.translateLo=s,g.uniforms.viewBox=h.viewBox;var b=this.scales;if(d)for(var x=b.length-1;x>=0;x--){var _=b[x];if(!(_.pixelSize&&_.pixelSize<1.25*e&&x>1)){var w=_.offset,M=_.count+w,k=m.ge(this.xCoords,r,w,M-1),A=m.lt(this.xCoords,n,k,M-1)+1;A>k&&p.drawArrays(p.POINTS,k,A-k)}}else p.drawArrays(p.POINTS,0,f);if(c)return l+f;v?p.blendFunc(p.ONE,p.ONE_MINUS_SRC_ALPHA):p.disable(p.BLEND)}}(),g.draw=g.drawPick,g.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}},g.update=function(t){t=t||{};var e=t.positions||[],r=t.colors||[],n=t.glyphs||[],i=t.sizes||[],a=t.borderWidths||[],o=t.borderColors||[],l=this.plot.gl;null!=t.charOffset&&(this.charOffset=t.charOffset),this.points=e;var h=this.points.length/2,m=s.mallocInt32(h),g=s.mallocFloat32(2*h),v=s.mallocFloat64(2*h);v.set(this.points),this.pointCount=h;var y=h>this.snapThreshold;y&&(this.scales=u(v,m,g));for(var b=s.mallocFloat32(4*h),x=s.mallocFloat32(2*h),_=s.mallocUint8(2*h),w=s.mallocUint32(h),M=s.mallocUint8(2*h),k={},A=[],T=[],S=[],E=0,L=h,C=0;E<L;++E){var z=[255*r[4*E],255*r[4*E+1],255*r[4*E+2],255*r[4*E+3]],D=f(z,!1);null==k[D]&&(k[D]=C++,T.push(z[0]),T.push(z[1]),T.push(z[2]),\n",
       "T.push(z[3])),A.push(D),o&&o.length&&(z=[255*o[4*E],255*o[4*E+1],255*o[4*E+2],255*o[4*E+3]],D=f(z,!1),null==k[D]&&(k[D]=C++,T.push(z[0]),T.push(z[1]),T.push(z[2]),T.push(z[3])),S.push(D))}for(var I={},E=0,L=h,C=0;E<L;E++){var P=n[E];null==I[P]&&(I[P]=C++)}for(var O=0,E=0,L=i.length;E<L;++E)i[E]>O&&(O=i[E]);var j=this.charStep;this.charStep=p(Math.ceil(4*O),128,768);var R=Object.keys(I),F=this.charStep,N=Math.floor(F/2),B=l.getParameter(l.MAX_TEXTURE_SIZE),U=B/F*(B/F),V=Math.min(B,F*R.length),H=Math.min(B,F*Math.ceil(F*R.length/B)),q=Math.floor(V/F);R.length>U&&console.warn(\"gl-scatter2d-fancy: number of characters is more than maximum texture size. Try reducing it.\"),this.chars&&this.chars+\"\"==R+\"\"&&this.charStep==j||(this.charCanvas=c({canvas:this.charCanvas,family:\"sans-serif\",size:N,shape:[V,H],step:[F,F],chars:R}),this.chars=R);for(var E=0;E<h;++E){var G=y?m[E]:E,Y=e[2*G],W=e[2*G+1],X=i[G],Z=a[G];b[4*E]=Y,b[4*E+1]=W,b[4*E+2]=Y-b[4*E],b[4*E+3]=W-b[4*E+1],this.xCoords[E]=Y,x[2*E]=2*X,x[2*E+1]=Z,w[E]=G;var D=A[G],J=k[D];_[2*E]=J;var Q=S[G],K=k[Q];_[2*E+1]=K;var P=n[G],$=I[P];M[2*E+1]=Math.floor($/q),M[2*E]=$%q}this.positionBuffer.update(b),this.sizeBuffer.update(x),this.colorBuffer.update(_),this.idBuffer.update(w),this.charBuffer.update(M),this.charTexture.shape=[this.charCanvas.width,this.charCanvas.height],this.charCanvas&&this.charCanvas.width&&this.charTexture.setPixels(this.charCanvas),this.paletteTexture.setPixels(d(T.slice(0,1024),[256,1,4])),s.free(b),s.free(x),s.free(_),s.free(w),s.free(M),s.free(v),s.free(m),s.free(g)},g.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.sizeBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.charBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":216,\"binary-search-bounds\":217,clamp:81,\"color-id\":85,\"font-atlas-sdf\":119,\"gl-buffer\":141,\"gl-shader\":218,\"gl-texture2d\":251,ndarray:449,\"snap-points-2d\":226,\"typedarray-pool\":521}],228:[function(t,e,r){r.pointVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 positionHi, positionLo;\\nattribute float weight;\\n\\nuniform vec2 scaleHi, scaleLo, translateHi, translateLo;\\nuniform float pointSize, useWeight;\\n\\nvarying float fragWeight;\\n\\n\\nvec4 pfx_1_0(vec2 scaleHi, vec2 scaleLo, vec2 translateHi, vec2 translateLo, vec2 positionHi, vec2 positionLo) {\\n  return vec4((positionHi + translateHi) * scaleHi\\n            + (positionLo + translateLo) * scaleHi\\n            + (positionHi + translateHi) * scaleLo\\n            + (positionLo + translateLo) * scaleLo, 0.0, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position = pfx_1_0(scaleHi, scaleLo, translateHi, translateLo, positionHi, positionLo);\\n  gl_PointSize = pointSize;\\n  fragWeight = mix(1.0, weight, useWeight);\\n}\",r.pointFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\n\\nvarying float fragWeight;\\n\\nfloat smoothStep(float x, float y) {\\n  return 1.0 / (1.0 + exp(50.0*(x - y)));\\n}\\n\\nvoid main() {\\n  float radius = length(2.0*gl_PointCoord.xy-1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  vec4 baseColor = mix(borderColor, color, smoothStep(radius, centerFraction));\\n  float alpha = 1.0 - pow(1.0 - baseColor.a, fragWeight);\\n  gl_FragColor = vec4(baseColor.rgb * alpha, alpha);\\n}\",r.pickVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nvec4 pfx_1_0(vec2 scaleHi, vec2 scaleLo, vec2 translateHi, vec2 translateLo, vec2 positionHi, vec2 positionLo) {\\n  return vec4((positionHi + translateHi) * scaleHi\\n            + (positionLo + translateLo) * scaleHi\\n            + (positionHi + translateHi) * scaleLo\\n            + (positionLo + translateLo) * scaleLo, 0.0, 1.0);\\n}\\n\\nattribute vec2 positionHi, positionLo;\\nattribute vec4 pickId;\\n\\nuniform vec2 scaleHi, scaleLo, translateHi, translateLo;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_Position = pfx_1_0(scaleHi, scaleLo, translateHi, translateLo, positionHi, positionLo);\\n  gl_PointSize = pointSize;\\n  fragId = id;\\n}\",r.pickFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\"},{}],229:[function(t,e,r){arguments[4][77][0].apply(r,arguments)},{dup:77}],230:[function(t,e,r){arguments[4][225][0].apply(r,arguments)},{dup:225}],231:[function(t,e,r){arguments[4][226][0].apply(r,arguments)},{\"./lib/sort\":230,dup:226,\"typedarray-pool\":521}],232:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o){this.plot=t,this.positionBufferHi=e,this.positionBufferLo=r,this.pickBuffer=n,this.weightBuffer=i,this.shader=a,this.pickShader=o,this.scales=[],this.size=12,this.borderSize=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0,this.points=null,this.xCoords=null}function i(t,e){var r=t.gl,i=o(r),s=o(r),l=o(r),u=o(r),h=a(r,c.pointVertex,c.pointFragment),f=a(r,c.pickVertex,c.pickFragment),d=new n(t,i,s,l,u,h,f);return d.update(e),t.addObject(d),d}var a=t(\"gl-shader\"),o=t(\"gl-buffer\"),s=t(\"binary-search-bounds\"),l=t(\"snap-points-2d\"),u=t(\"typedarray-pool\"),c=t(\"./lib/shader\");e.exports=i;var h=n.prototype,f=new Float32Array(2),d=new Float32Array(2),p=new Float32Array(2),m=new Float32Array(2),g=[0,0,0,0];h.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBufferHi.dispose(),this.positionBufferLo.dispose(),this.pickBuffer.dispose(),this.xCoords&&u.free(this.xCoords),this.plot.removeObject(this)},h.update=function(t){function e(e,r){return e in t?t[e]:r}t=t||{},this.size=e(\"size\",12),this.color=e(\"color\",[1,0,0,1]).slice(),this.borderSize=e(\"borderSize\",1),this.borderColor=e(\"borderColor\",[0,0,0,1]).slice(),this.xCoords&&u.free(this.xCoords),this.points=t.positions;var r=this.points.length>>>1,n=u.mallocInt32(r),i=u.mallocFloat32(2*r),a=u.mallocFloat64(2*r);a.set(this.points),this.scales=l(a,n,i,this.bounds);var o=u.mallocFloat64(r),s=u.mallocFloat32(2*r),c=u.mallocFloat32(2*r);s.set(a);for(var h=0,f=0;h<r;h++,f+=2)c[f]=a[f]-s[f],c[f+1]=a[f+1]-s[f+1],o[h]=a[f];this.positionBufferHi.update(s),this.positionBufferLo.update(c),this.pickBuffer.update(n),this.weightBuffer.update(i),u.free(n),u.free(a),u.free(s),u.free(c),u.free(i),this.xCoords=o,this.pointCount=r,this.pickOffset=0},h.draw=function(t){var e=void 0!==t,r=this.plot,n=e?this.pickShader:this.shader,i=this.scales,a=this.positionBufferHi,o=this.positionBufferLo,l=this.pickBuffer,u=this.bounds,c=this.size,h=this.borderSize,v=r.gl,y=e?r.pickPixelRatio:r.pixelRatio,b=r.viewBox,x=r.dataBox;if(0===this.pointCount)return t;var _=u[2]-u[0],w=u[3]-u[1],M=x[2]-x[0],k=x[3]-x[1],A=(b[2]-b[0])*y/r.pixelRatio,T=(b[3]-b[1])*y/r.pixelRatio,S=Math.min(M/A,k/T),E=2*_/M,L=2*w/k;f[0]=E,f[1]=L,d[0]=E-f[0],d[1]=L-f[1];var C=(u[0]-x[0]-.5*M)/_,z=(u[1]-x[1]-.5*k)/w;p[0]=C,p[1]=z,m[0]=C-p[0],m[1]=z-p[1],n.bind(),n.uniforms.scaleHi=f,n.uniforms.scaleLo=d,n.uniforms.translateHi=p,n.uniforms.translateLo=m,n.uniforms.color=this.color,n.uniforms.borderColor=this.borderColor,n.uniforms.pointSize=y*(c+h),n.uniforms.centerFraction=0===this.borderSize?2:c/(c+h+1.25),a.bind(),n.attributes.positionHi.pointer(),o.bind(),n.attributes.positionLo.pointer(),e?(this.pickOffset=t,g[0]=255&t,g[1]=t>>8&255,g[2]=t>>16&255,g[3]=t>>24&255,n.uniforms.pickOffset=g,l.bind(),n.attributes.pickId.pointer(v.UNSIGNED_BYTE)):(n.uniforms.useWeight=1,this.weightBuffer.bind(),n.attributes.weight.pointer());for(var D=this.xCoords,I=(x[0]-u[0]-S*c*y)/_,P=(x[2]-u[0]+S*c*y)/_,O=!0,j=i.length-1;j>=0;j--){var R=i[j];if(!(R.pixelSize<S&&j>1)){var F=R.offset,N=R.count+F,B=s.ge(D,I,F,N-1),U=s.lt(D,P,B,N-1)+1;U>B&&v.drawArrays(v.POINTS,B,U-B),!e&&O&&(O=!1,n.uniforms.useWeight=0)}}return t+this.pointCount},h.drawPick=h.draw,h.pick=function(t,e,r){var n=r-this.pickOffset;return n<0||n>=this.pointCount?null:{object:this,pointId:n,dataCoord:[this.points[2*n],this.points[2*n+1]]}}},{\"./lib/shader\":228,\"binary-search-bounds\":229,\"gl-buffer\":141,\"gl-shader\":239,\"snap-points-2d\":231,\"typedarray-pool\":521}],233:[function(t,e,r){\"use strict\";function n(t,e){var r=a[e];if(r||(r=a[e]={}),t in r)return r[t];for(var n=i(t,{textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e}),o=i(t,{triangles:!0,textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e}),s=[[1/0,1/0],[-1/0,-1/0]],l=0;l<n.positions.length;++l)for(var u=n.positions[l],c=0;c<2;++c)s[0][c]=Math.min(s[0][c],u[c]),s[1][c]=Math.max(s[1][c],u[c]);return r[t]=[o,n,s]}var i=t(\"vectorize-text\");e.exports=n;var a={}},{\"vectorize-text\":534}],234:[function(t,e,r){function n(t,e){var r=i(t,e),n=r.attributes;return n.position.location=0,n.color.location=1,n.glyph.location=2,n.id.location=3,r}var i=t(\"gl-shader\"),a=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if(any(lessThan(position, clipBounds[0]))   || \\n     any(greaterThan(position, clipBounds[1])) ) {\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n    \\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\",o=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if(any(lessThan(position, clipBounds[0])) || any(greaterThan(position, clipBounds[1]))) {\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n    \\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\",s=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if(any(lessThan(position, clipBounds[0]))   ||\\n     any(greaterThan(position, clipBounds[1])) ) {\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\",l=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if(any(lessThan(dataCoordinate, fragClipBounds[0]))   ||\\n     any(greaterThan(dataCoordinate, fragClipBounds[1])) ) {\\n    discard;\\n  } else {\\n    gl_FragColor = interpColor * opacity;\\n  }\\n}\\n\",u=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if(any(lessThan(dataCoordinate, fragClipBounds[0]))   || \\n     any(greaterThan(dataCoordinate, fragClipBounds[1])) ) {\\n    discard;\\n  } else {\\n    gl_FragColor = vec4(pickGroup, pickId.bgr);\\n  }\\n}\",c=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],h={vertex:a,fragment:l,attributes:c},f={vertex:o,fragment:l,attributes:c},d={vertex:s,fragment:l,attributes:c},p={vertex:a,fragment:u,attributes:c},m={vertex:o,fragment:u,attributes:c},g={vertex:s,fragment:u,attributes:c};r.createPerspective=function(t){return n(t,h)},r.createOrtho=function(t){return n(t,f)},r.createProject=function(t){return n(t,d)},r.createPickPerspective=function(t){return n(t,p)},r.createPickOrtho=function(t){return n(t,m)},r.createPickProject=function(t){return n(t,g)}},{\"gl-shader\":239}],235:[function(t,e,r){\"use strict\";function n(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function i(t,e,r,i){return n(i,i,r),n(i,i,e),n(i,i,t)}function a(t,e){this.index=t,this.dataCoordinate=this.position=e}function o(t,e,r,n,i,o,s,l,u,c,h,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=o,this.glyphBuffer=s,this.idBuffer=l,this.vao=u,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=h,this.pickProjectShader=f,this.points=[],this._selectResult=new a(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}function s(t){return t[0]=t[1]=t[2]=0,t}function l(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function u(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function c(t){for(var e=L,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}function h(t,e,r,n,a){var o,h=e.axesProject,f=e.gl,d=t.uniforms,p=r.model||x,m=r.view||x,g=r.projection||x,y=e.axesBounds,b=c(e.clipBounds);o=e.axes?e.axes.lastCubeProps.axis:[1,1,1],w[0]=2/f.drawingBufferWidth,w[1]=2/f.drawingBufferHeight,t.bind(),d.view=m,d.projection=g,d.screenSize=w,d.highlightId=e.highlightId,d.highlightScale=e.highlightScale,d.clipBounds=b,d.pickGroup=e.pickId/255,d.pixelRatio=e.pixelRatio;for(var _=0;_<3;++_)if(h[_]&&e.projectOpacity[_]<1===n){d.scale=e.projectScale[_],d.opacity=e.projectOpacity[_];for(var L=S,C=0;C<16;++C)L[C]=0;for(var C=0;C<4;++C)L[5*C]=1;L[5*_]=0,o[_]<0?L[12+_]=y[0][_]:L[12+_]=y[1][_],v(L,p,L),d.model=L;var z=(_+1)%3,D=(_+2)%3,I=s(M),P=s(k);I[z]=1,P[D]=1;var O=i(g,m,p,l(A,I)),j=i(g,m,p,l(T,P));if(Math.abs(O[1])>Math.abs(j[1])){var R=O;O=j,j=R,R=I,I=P,P=R;var F=z;z=D,D=F}O[0]<0&&(I[z]=-1),j[1]>0&&(P[D]=-1);for(var N=0,B=0,C=0;C<4;++C)N+=Math.pow(p[4*z+C],2),B+=Math.pow(p[4*D+C],2);I[z]/=Math.sqrt(N),P[D]/=Math.sqrt(B),d.axes[0]=I,d.axes[1]=P,d.fragClipBounds[0]=u(E,b[0],_,-1e8),d.fragClipBounds[1]=u(E,b[1],_,1e8),e.vao.draw(f.TRIANGLES,e.vertexCount),e.lineWidth>0&&(f.lineWidth(e.lineWidth),e.vao.draw(f.LINES,e.lineVertexCount,e.vertexCount))}}function f(t,e,r,n,i,a){var o=r.gl;if(r.vao.bind(),i===r.opacity<1||a){t.bind();var s=t.uniforms;s.model=n.model||x,s.view=n.view||x,s.projection=n.projection||x,w[0]=2/o.drawingBufferWidth,w[1]=2/o.drawingBufferHeight,s.screenSize=w,s.highlightId=r.highlightId,s.highlightScale=r.highlightScale,s.fragClipBounds=D,s.clipBounds=r.axes.bounds,s.opacity=r.opacity,s.pickGroup=r.pickId/255,s.pixelRatio=r.pixelRatio,r.vao.draw(o.TRIANGLES,r.vertexCount),r.lineWidth>0&&(o.lineWidth(r.lineWidth),r.vao.draw(o.LINES,r.lineVertexCount,r.vertexCount))}h(e,r,n,i,a),r.vao.unbind()}function d(t){var e=t.gl,r=y.createPerspective(e),n=y.createOrtho(e),i=y.createProject(e),a=y.createPickPerspective(e),s=y.createPickOrtho(e),l=y.createPickProject(e),u=p(e),c=p(e),h=p(e),f=p(e),d=m(e,[{buffer:u,size:3,type:e.FLOAT},{buffer:c,size:4,type:e.FLOAT},{buffer:h,size:2,type:e.FLOAT},{buffer:f,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),g=new o(e,r,n,i,u,c,h,f,d,a,s,l);return g.update(t),g}var p=t(\"gl-buffer\"),m=t(\"gl-vao\"),g=t(\"typedarray-pool\"),v=t(\"gl-mat4/multiply\"),y=t(\"./lib/shaders\"),b=t(\"./lib/glyphs\"),x=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];e.exports=d;var _=o.prototype;_.pickSlots=1,_.setPickBase=function(t){this.pickId=t},_.isTransparent=function(){if(this.opacity<1)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectOpacity[t]<1)return!0;return!1},_.isOpaque=function(){if(this.opacity>=1)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectOpacity[t]>=1)return!0;return!1};var w=[0,0],M=[0,0,0],k=[0,0,0],A=[0,0,0,1],T=[0,0,0,1],S=x.slice(),E=[0,0,0],L=[[0,0,0],[0,0,0]],C=[-1e8,-1e8,-1e8],z=[1e8,1e8,1e8],D=[C,z];_.draw=function(t){f(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,!1,!1)},_.drawTransparent=function(t){f(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,!0,!1)},_.drawPick=function(t){f(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,!1,!0)},_.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},_.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},_.update=function(t){if(t=t||{},\"perspective\"in t&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(\"projectOpacity\"in t)if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{var r=+t.projectOpacity;this.projectOpacity=[r,r,r]}\"opacity\"in t&&(this.opacity=t.opacity),this.dirty=!0;var n=t.position;if(n){var i=t.font||\"normal\",a=t.alignment||[0,0],o=[1/0,1/0,1/0],s=[-1/0,-1/0,-1/0],l=t.glyph,u=t.color,c=t.size,h=t.angle,f=t.lineColor,d=0,p=0,m=0,v=n.length;t:for(var y=0;y<v;++y){for(var x=n[y],_=0;_<3;++_)if(isNaN(x[_])||!isFinite(x[_]))continue t;var w;w=Array.isArray(l)?b(l[y],i):l?b(l,i):b(\"\\u25cf\",i);var M=w[0],k=w[1],A=w[2];p+=3*M.cells.length,m+=2*k.edges.length}var T=p+m,S=g.mallocFloat(3*T),E=g.mallocFloat(4*T),L=g.mallocFloat(2*T),C=g.mallocUint32(T),z=[0,a[1]],D=0,I=p,P=[0,0,0,1],O=[0,0,0,1],j=Array.isArray(u)&&Array.isArray(u[0]),R=Array.isArray(f)&&Array.isArray(f[0]);t:for(var y=0;y<v;++y){for(var x=n[y],_=0;_<3;++_){if(isNaN(x[_])||!isFinite(x[_])){d+=1;continue t}s[_]=Math.max(s[_],x[_]),o[_]=Math.min(o[_],x[_])}var w;w=Array.isArray(l)?b(l[y],i):l?b(l,i):b(\"\\u25cf\",i);var M=w[0],k=w[1],A=w[2];if(Array.isArray(u)){var F;if(F=j?u[y]:u,3===F.length){for(var _=0;_<3;++_)P[_]=F[_];P[3]=1}else if(4===F.length)for(var _=0;_<4;++_)P[_]=F[_]}else P[0]=P[1]=P[2]=0,P[3]=1;if(Array.isArray(f)){var F;if(F=R?f[y]:f,3===F.length){for(var _=0;_<3;++_)O[_]=F[_];O[_]=1}else if(4===F.length)for(var _=0;_<4;++_)O[_]=F[_]}else O[0]=O[1]=O[2]=0,O[3]=1;var N=.5;Array.isArray(c)?N=+c[y]:c?N=+c:this.useOrtho&&(N=12);var B=0;Array.isArray(h)?B=+h[y]:h&&(B=+h);for(var U=Math.cos(B),V=Math.sin(B),x=n[y],_=0;_<3;++_)s[_]=Math.max(s[_],x[_]),o[_]=Math.min(o[_],x[_]);a[0]<0?z[0]=a[0]*(1+A[1][0]):a[0]>0&&(z[0]=-a[0]*(1+A[0][0]));for(var H=M.cells,q=M.positions,_=0;_<H.length;++_)for(var G=H[_],Y=0;Y<3;++Y){for(var W=0;W<3;++W)S[3*D+W]=x[W];for(var W=0;W<4;++W)E[4*D+W]=P[W];C[D]=d;var X=q[G[Y]];L[2*D]=N*(U*X[0]-V*X[1]+z[0]),L[2*D+1]=N*(V*X[0]+U*X[1]+z[1]),D+=1}for(var H=k.edges,q=k.positions,_=0;_<H.length;++_)for(var G=H[_],Y=0;Y<2;++Y){for(var W=0;W<3;++W)S[3*I+W]=x[W];for(var W=0;W<4;++W)E[4*I+W]=O[W];C[I]=d;var X=q[G[Y]];L[2*I]=N*(U*X[0]-V*X[1]+z[0]),L[2*I+1]=N*(V*X[0]+U*X[1]+z[1]),I+=1}d+=1}this.vertexCount=p,this.lineVertexCount=m,this.pointBuffer.update(S),this.colorBuffer.update(E),this.glyphBuffer.update(L),this.idBuffer.update(new Uint32Array(C)),g.free(S),g.free(E),g.free(L),g.free(C),this.bounds=[o,s],this.points=n,this.pointCount=n.length}},_.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},{\"./lib/glyphs\":233,\"./lib/shaders\":234,\"gl-buffer\":141,\"gl-mat4/multiply\":167,\"gl-vao\":255,\"typedarray-pool\":521}],236:[function(t,e,r){\"use strict\";r.boxVertex=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid main() {\\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\\n}\\n\",r.boxFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = color;\\n}\\n\"},{}],237:[function(t,e,r){\"use strict\";function n(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}function i(t,e){var r=t.gl,i=o(r,[0,0,0,1,1,0,1,1]),l=a(r,s.boxVertex,s.boxFragment),u=new n(t,i,l);return u.update(e),t.addOverlay(u),u}var a=t(\"gl-shader\"),o=t(\"gl-buffer\"),s=t(\"./lib/shaders\");e.exports=i;var l=n.prototype;l.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,u=t.viewBox,c=t.pixelRatio,h=(e[0]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],f=(e[1]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1],d=(e[2]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],p=(e[3]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1];if(h=Math.max(h,u[0]),f=Math.max(f,u[1]),d=Math.min(d,u[2]),p=Math.min(p,u[3]),!(d<h||p<f)){o.bind();var m=s[2]-s[0],g=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,m,f,i),o.drawBox(0,f,h,p,i),o.drawBox(0,p,m,g,i),o.drawBox(d,f,m,p,i)),this.innerFill&&o.drawBox(h,f,d,p,n),r>0){var v=r*c;o.drawBox(h-v,f-v,d+v,f+v,a),o.drawBox(h-v,p-v,d+v,p+v,a),o.drawBox(h-v,f-v,h+v,p+v,a),o.drawBox(d-v,f-v,d+v,p+v,a)}}}},l.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},l.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{\"./lib/shaders\":236,\"gl-buffer\":141,\"gl-shader\":239}],238:[function(t,e,r){\"use strict\";function n(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function i(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}function a(t,e){return new i(t,o(t,e),s.mallocUint8(e[0]*e[1]*4))}e.exports=a;var o=t(\"gl-fbo\"),s=t(\"typedarray-pool\"),l=t(\"ndarray\"),u=t(\"bit-twiddle\").nextPow2,c=t(\"cwise/lib/wrapper\")({args:[\"array\",{offset:[0,0,1],array:0},{offset:[0,0,2],array:0},{offset:[0,0,3],array:0},\"scalar\",\"scalar\",\"index\"],pre:{body:\"{this_closestD2=1e8,this_closestX=-1,this_closestY=-1}\",args:[],thisVars:[\"this_closestD2\",\"this_closestX\",\"this_closestY\"],localVars:[]},body:{body:\"{if(_inline_46_arg0_<255||_inline_46_arg1_<255||_inline_46_arg2_<255||_inline_46_arg3_<255){var _inline_46_l=_inline_46_arg4_-_inline_46_arg6_[0],_inline_46_a=_inline_46_arg5_-_inline_46_arg6_[1],_inline_46_f=_inline_46_l*_inline_46_l+_inline_46_a*_inline_46_a;_inline_46_f<this_closestD2&&(this_closestD2=_inline_46_f,this_closestX=_inline_46_arg6_[0],this_closestY=_inline_46_arg6_[1])}}\",args:[{name:\"_inline_46_arg0_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_46_arg1_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_46_arg2_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_46_arg3_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_46_arg4_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_46_arg5_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_46_arg6_\",lvalue:!1,rvalue:!0,count:4}],thisVars:[\"this_closestD2\",\"this_closestX\",\"this_closestY\"],localVars:[\"_inline_46_a\",\"_inline_46_f\",\"_inline_46_l\"]},post:{body:\"{return[this_closestX,this_closestY,this_closestD2]}\",args:[],thisVars:[\"this_closestD2\",\"this_closestX\",\"this_closestY\"],localVars:[]},debug:!1,funcName:\"cwise\",blockSize:64}),h=i.prototype;Object.defineProperty(h,\"shape\",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){s.free(this.buffer);for(var n=this.buffer=s.mallocUint8(u(r*e*4)),i=0;i<r*e*4;++i)n[i]=255}return t}}}),h.begin=function(){var t=this.gl;this.shape;t&&(this.fbo.bind(),t.clearColor(1,1,1,1),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT))},h.end=function(){var t=this.gl;t&&(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},h.query=function(t,e,r){if(!this.gl)return null;var i=this.fbo.shape.slice();t|=0,e|=0,\"number\"!=typeof r&&(r=1);var a=0|Math.min(Math.max(t-r,0),i[0]),o=0|Math.min(Math.max(t+r,0),i[0]),s=0|Math.min(Math.max(e-r,0),i[1]),u=0|Math.min(Math.max(e+r,0),i[1]);if(o<=a||u<=s)return null;var h=[o-a,u-s],f=l(this.buffer,[h[0],h[1],4],[4,4*i[0],1],4*(a+i[0]*s)),d=c(f.hi(h[0],h[1],1),r,r),p=d[0],m=d[1];return p<0||Math.pow(this.radius,2)<d[2]?null:new n(p+a|0,m+s|0,f.get(p,m,0),[f.get(p,m,1),f.get(p,m,2),f.get(p,m,3)],Math.sqrt(d[2]))},h.dispose=function(){this.gl&&(this.fbo.dispose(),s.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))}},{\"bit-twiddle\":60,\"cwise/lib/wrapper\":106,\"gl-fbo\":148,ndarray:449,\"typedarray-pool\":521}],239:[function(t,e,r){\"use strict\";function n(t){this.gl=t,this._vref=this._fref=this._relink=this.vertShader=this.fragShader=this.program=this.attributes=this.uniforms=this.types=null}function i(t,e){return t.name<e.name?-1:1}function a(t,e,r,i,a){var o=new n(t);return o.update(e,r,i,a),o}var o=t(\"./lib/create-uniforms\"),s=t(\"./lib/create-attributes\"),l=t(\"./lib/reflect\"),u=t(\"./lib/shader-cache\"),c=t(\"./lib/runtime-reflect\"),h=t(\"./lib/GLError\"),f=n.prototype;f.bind=function(){this.program||this._relink(),this.gl.useProgram(this.program)},f.dispose=function(){this._fref&&this._fref.dispose(),this._vref&&this._vref.dispose(),this.attributes=this.types=this.vertShader=this.fragShader=this.program=this._relink=this._fref=this._vref=null},f.update=function(t,e,r,n){function a(){d.program=u.program(p,d._vref,d._fref,x,_);for(var t=0;t<r.length;++t)E[t]=p.getUniformLocation(d.program,r[t].name)}if(!e||1===arguments.length){var f=t;t=f.vertex,e=f.fragment,r=f.uniforms,n=f.attributes}var d=this,p=d.gl,m=d._vref;d._vref=u.shader(p,p.VERTEX_SHADER,t),m&&m.dispose(),d.vertShader=d._vref.shader;var g=this._fref;if(d._fref=u.shader(p,p.FRAGMENT_SHADER,e),g&&g.dispose(),d.fragShader=d._fref.shader,!r||!n){var v=p.createProgram();if(p.attachShader(v,d.fragShader),p.attachShader(v,d.vertShader),p.linkProgram(v),!p.getProgramParameter(v,p.LINK_STATUS)){var y=p.getProgramInfoLog(v);throw new h(y,\"Error linking program:\"+y)}r=r||c.uniforms(p,v),n=n||c.attributes(p,v),p.deleteProgram(v)}n=n.slice(),n.sort(i);for(var b=[],x=[],_=[],w=0;w<n.length;++w){var M=n[w];if(M.type.indexOf(\"mat\")>=0){for(var k=0|M.type.charAt(M.type.length-1),A=new Array(k),T=0;T<k;++T)A[T]=_.length,x.push(M.name+\"[\"+T+\"]\"),\"number\"==typeof M.location?_.push(M.location+T):Array.isArray(M.location)&&M.location.length===k&&\"number\"==typeof M.location[T]?_.push(0|M.location[T]):_.push(-1);b.push({name:M.name,type:M.type,locations:A})}else b.push({name:M.name,type:M.type,locations:[_.length]}),x.push(M.name),\"number\"==typeof M.location?_.push(0|M.location):_.push(-1)}for(var S=0,w=0;w<_.length;++w)if(_[w]<0){for(;_.indexOf(S)>=0;)S+=1;_[w]=S}var E=new Array(r.length);a(),d._relink=a,d.types={uniforms:l(r),attributes:l(n)},d.attributes=s(p,d,b,_),Object.defineProperty(d,\"uniforms\",o(p,d,r,E))},e.exports=a},{\"./lib/GLError\":240,\"./lib/create-attributes\":241,\"./lib/create-uniforms\":242,\"./lib/reflect\":243,\"./lib/runtime-reflect\":244,\"./lib/shader-cache\":245}],240:[function(t,e,r){arguments[4][197][0].apply(r,arguments)},{dup:197}],241:[function(t,e,r){arguments[4][198][0].apply(r,arguments)},{\"./GLError\":240,dup:198}],242:[function(t,e,r){arguments[4][199][0].apply(r,arguments)},{\"./GLError\":240,\"./reflect\":243,dup:199}],243:[function(t,e,r){arguments[4][200][0].apply(r,arguments)},{dup:200}],244:[function(t,e,r){arguments[4][201][0].apply(r,arguments)},{dup:201}],245:[function(t,e,r){arguments[4][202][0].apply(r,arguments)},{\"./GLError\":240,dup:202,\"gl-format-compiler-error\":149,\"weakmap-shim\":542}],246:[function(t,e,r){\"use strict\";function n(t){this.plot=t,this.enable=[!0,!0,!1,!1],this.width=[1,1,1,1],this.color=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.center=[1/0,1/0]}function i(t,e){var r=new n(t);return r.update(e),t.addOverlay(r),r}e.exports=i;var a=n.prototype;a.update=function(t){t=t||{},this.enable=(t.enable||[!0,!0,!1,!1]).slice(),this.width=(t.width||[1,1,1,1]).slice(),this.color=(t.color||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]).map(function(t){return t.slice()}),this.center=(t.center||[1/0,1/0]).slice(),this.plot.setOverlayDirty()},a.draw=function(){var t=this.enable,e=this.width,r=this.color,n=this.center,i=this.plot,a=i.line,o=i.dataBox,s=i.viewBox;if(a.bind(),o[0]<=n[0]&&n[0]<=o[2]&&o[1]<=n[1]&&n[1]<=o[3]){var l=s[0]+(n[0]-o[0])/(o[2]-o[0])*(s[2]-s[0]),u=s[1]+(n[1]-o[1])/(o[3]-o[1])*(s[3]-s[1]);t[0]&&a.drawLine(l,u,s[0],u,e[0],r[0]),t[1]&&a.drawLine(l,u,l,s[1],e[1],r[1]),t[2]&&a.drawLine(l,u,s[2],u,e[2],r[2]),t[3]&&a.drawLine(l,u,l,s[3],e[3],r[3])}},a.dispose=function(){this.plot.removeOverlay(this)}},{}],247:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\");e.exports=function(t){\n",
       "return n(t,\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, color;\\nattribute float weight;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 coordinates[3];\\nuniform vec4 colors[3];\\nuniform vec2 screenShape;\\nuniform float lineWidth;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vertexPosition = mix(coordinates[0],\\n    mix(coordinates[2], coordinates[1], 0.5 * (position + 1.0)), abs(position));\\n\\n  vec4 clipPos = projection * view * model * vec4(vertexPosition, 1.0);\\n  vec2 clipOffset = (projection * view * model * vec4(color, 0.0)).xy;\\n  vec2 delta = weight * clipOffset * screenShape;\\n  vec2 lineOffset = normalize(vec2(delta.y, -delta.x)) / screenShape;\\n\\n  gl_Position   = vec4(clipPos.xy + clipPos.w * 0.5 * lineWidth * lineOffset, clipPos.z, clipPos.w);\\n  fragColor     = color.x * colors[0] + color.y * colors[1] + color.z * colors[2];\\n}\\n\",\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  gl_FragColor = fragColor;\\n}\",null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec3\"},{name:\"weight\",type:\"float\"}])}},{\"gl-shader\":239}],248:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n,this.pixelRatio=1,this.bounds=[[-1e3,-1e3,-1e3],[1e3,1e3,1e3]],this.position=[0,0,0],this.lineWidth=[2,2,2],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.enabled=[!0,!0,!0],this.drawSides=[!0,!0,!0],this.axes=null}function i(t,e){function r(t,e,r,n,a,o){var s=[t,e,r,0,0,0,1];s[n+3]=1,s[n]=a,i.push.apply(i,s),s[6]=-1,i.push.apply(i,s),s[n]=o,i.push.apply(i,s),i.push.apply(i,s),s[6]=1,i.push.apply(i,s),s[n]=a,i.push.apply(i,s)}var i=[];r(0,0,0,0,0,1),r(0,0,0,1,0,1),r(0,0,0,2,0,1),r(1,0,0,1,-1,1),r(1,0,0,2,-1,1),r(0,1,0,0,-1,1),r(0,1,0,2,-1,1),r(0,0,1,0,-1,1),r(0,0,1,1,-1,1);var l=a(t,i),u=o(t,[{type:t.FLOAT,buffer:l,size:3,offset:0,stride:28},{type:t.FLOAT,buffer:l,size:3,offset:12,stride:28},{type:t.FLOAT,buffer:l,size:1,offset:24,stride:28}]),c=s(t);c.attributes.position.location=0,c.attributes.color.location=1,c.attributes.weight.location=2;var h=new n(t,l,u,c);return h.update(e),h}var a=t(\"gl-buffer\"),o=t(\"gl-vao\"),s=t(\"./shaders/index\");e.exports=i;var l=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],u=n.prototype,c=[0,0,0],h=[0,0,0],f=[0,0];u.isTransparent=function(){return!1},u.drawTransparent=function(t){},u.draw=function(t){var e=this.gl,r=this.vao,n=this.shader;r.bind(),n.bind();var i,a=t.model||l,o=t.view||l,s=t.projection||l;this.axes&&(i=this.axes.lastCubeProps.axis);for(var u=c,d=h,p=0;p<3;++p)i&&i[p]<0?(u[p]=this.bounds[0][p],d[p]=this.bounds[1][p]):(u[p]=this.bounds[1][p],d[p]=this.bounds[0][p]);f[0]=e.drawingBufferWidth,f[1]=e.drawingBufferHeight,n.uniforms.model=a,n.uniforms.view=o,n.uniforms.projection=s,n.uniforms.coordinates=[this.position,u,d],n.uniforms.colors=this.colors,n.uniforms.screenShape=f;for(var p=0;p<3;++p)n.uniforms.lineWidth=this.lineWidth[p]*this.pixelRatio,this.enabled[p]&&(r.draw(e.TRIANGLES,6,6*p),this.drawSides[p]&&r.draw(e.TRIANGLES,12,18+12*p));r.unbind()},u.update=function(t){t&&(\"bounds\"in t&&(this.bounds=t.bounds),\"position\"in t&&(this.position=t.position),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"colors\"in t&&(this.colors=t.colors),\"enabled\"in t&&(this.enabled=t.enabled),\"drawSides\"in t&&(this.drawSides=t.drawSides))},u.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders/index\":247,\"gl-buffer\":141,\"gl-vao\":255}],249:[function(t,e,r){var n=t(\"gl-shader\"),i=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  worldCoordinate = vec3(uv.zw, f.x);\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n  vec4 clipPosition = projection * view * worldPosition;\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\",a=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution_2_0(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\n\\n\\nfloat beckmannSpecular_1_1(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution_2_0(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\n\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (kill > 0.0 ||\\n    any(lessThan(worldCoordinate, clipBounds[0])) || any(greaterThan(worldCoordinate, clipBounds[1]))) {\\n    discard;\\n  }\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = beckmannSpecular_1_1(L, V, N, roughness);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color \\u2014 in vertex or in fragment\\n  vec4 surfaceColor = step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) + step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\",o=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  vec4 worldPosition = model * vec4(dataCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z = clipPosition.z + zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f;\\n  kill = -1.0;\\n  worldCoordinate = dataCoordinate;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\",s=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if(kill > 0.0 ||\\n    any(lessThan(worldCoordinate, clipBounds[0])) || any(greaterThan(worldCoordinate, clipBounds[1]))) {\\n    discard;\\n  }\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\";r.createShader=function(t){var e=n(t,i,a,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,i,s,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,o,a,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,o,s,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{\"gl-shader\":239}],250:[function(t,e,r){\"use strict\";function n(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}function i(t){var e=x([y({colormap:t,nshades:j,format:\"rgba\"}).map(function(t){return[t[0],t[1],t[2],255*t[3]]})]);return b.divseq(e,255),e}function a(t,e,r,i,a,o,s,l,u,c,h,f,d,p){this.gl=t,this.shape=e,this.bounds=r,this.intensityBounds=[],this._shader=i,this._pickShader=a,this._coordinateBuffer=o,this._vao=s,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=f,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new n([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=p,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[0/0,0/0,0/0],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[_(v.mallocFloat(1024),[0,0]),_(v.mallocFloat(1024),[0,0]),_(v.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}function o(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||F,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=N.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],M(l,t.model,l);var u=N.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return N.showSurface=o,N.showContour=s,N}function s(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=B;n.model=t.model||I,n.view=t.view||I,n.projection=t.projection||I,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.contourColor=this.contourColor[0],n.inverseModel=k(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],s=0;s<3;++s)a[s]=Math.min(Math.max(this.clipBounds[i][s],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=V,n.vertexColor=this.vertexColor;var l=U;for(M(l,n.view,n.model),M(l,n.projection,l),k(l,l),i=0;i<3;++i)n.eyePosition[i]=l[12+i]/l[15];var u=l[15];for(i=0;i<3;++i)u+=this.lightPosition[i]*l[4*i+3];for(i=0;i<3;++i){var c=l[12+i];for(s=0;s<3;++s)c+=l[4*s+i]*this.lightPosition[s];n.lightPosition[i]=c/u}var h=o(n,this);if(h.showSurface&&e===this.opacity<1){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=h.projections[i],this._shader.uniforms.clipBounds=h.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(h.showContour&&!e){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var d=this._contourVAO;for(d.bind(),i=0;i<3;++i)for(f.uniforms.permutation=O[i],r.lineWidth(this.contourWidth[i]),s=0;s<this.contourLevels[i].length;++s)this._contourCounts[i][s]&&(s===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==s&&s-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),f.uniforms.height=this.contourLevels[i][s],d.draw(r.LINES,this._contourCounts[i][s],this._contourOffsets[i][s]));for(i=0;i<3;++i)for(f.uniforms.model=h.projections[i],f.uniforms.clipBounds=h.clipBounds[i],s=0;s<3;++s)if(this.contourProject[i][s]){f.uniforms.permutation=O[s],r.lineWidth(this.contourWidth[s]);for(var p=0;p<this.contourLevels[s].length;++p)p===this.highlightLevel[s]?(f.uniforms.contourColor=this.highlightColor[s],f.uniforms.contourTint=this.highlightTint[s]):0!==p&&p-1!==this.highlightLevel[s]||(f.uniforms.contourColor=this.contourColor[s],f.uniforms.contourTint=this.contourTint[s]),f.uniforms.height=this.contourLevels[s][p],d.draw(r.LINES,this._contourCounts[s][p],this._contourOffsets[s][p])}for(d=this._dynamicVAO,d.bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=O[i],r.lineWidth(this.dynamicWidth[i]),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],d.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),s=0;s<3;++s)this.contourProject[s][i]&&(f.uniforms.model=h.projections[s],f.uniforms.clipBounds=h.clipBounds[s],d.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));d.unbind()}}function l(t,e){var r=e.shape.slice(),n=t.shape.slice();b.assign(t.lo(1,1).hi(r[0],r[1]),e),b.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),b.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),b.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),b.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))}function u(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function c(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function h(t){if(Array.isArray(t)){if(Array.isArray(t))return[c(t[0]),c(t[1]),c(t[2])];var e=c(t);return[e.slice(),e.slice(),e.slice()]}}function f(t){var e=t.gl,r=E(e),n=C(e),i=L(e),o=z(e),s=p(e),l=m(e,[{buffer:s,size:4,stride:D,offset:0},{buffer:s,size:3,stride:D,offset:16},{buffer:s,size:3,stride:D,offset:28}]),u=p(e),c=m(e,[{buffer:u,size:4,stride:20,offset:0},{buffer:u,size:1,stride:20,offset:16}]),h=p(e),f=m(e,[{buffer:h,size:2,type:e.FLOAT}]),d=g(e,1,j,e.RGBA,e.UNSIGNED_BYTE);d.minFilter=e.LINEAR,d.magFilter=e.LINEAR;var v=new a(e,[0,0],[[0,0,0],[0,0,0]],r,n,s,l,d,i,o,u,c,h,f),y={levels:[[],[],[]]};for(var b in t)y[b]=t[b];return y.colormap=y.colormap||\"jet\",v.update(y),v}e.exports=f;var d=t(\"bit-twiddle\"),p=t(\"gl-buffer\"),m=t(\"gl-vao\"),g=t(\"gl-texture2d\"),v=t(\"typedarray-pool\"),y=t(\"colormap\"),b=t(\"ndarray-ops\"),x=t(\"ndarray-pack\"),_=t(\"ndarray\"),w=t(\"surface-nets\"),M=t(\"gl-mat4/multiply\"),k=t(\"gl-mat4/invert\"),A=t(\"binary-search-bounds\"),T=t(\"ndarray-gradient\"),S=t(\"./lib/shaders\"),E=S.createShader,L=S.createContourShader,C=S.createPickShader,z=S.createPickContourShader,D=40,I=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],P=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],O=[[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]];!function(){for(var t=0;t<3;++t){var e=O[t],r=(t+1)%3,n=(t+2)%3;e[r+0]=1,e[n+3]=1,e[t+6]=1}}();var j=256,R=a.prototype;R.isTransparent=function(){return this.opacity<1},R.isOpaque=function(){if(this.opacity>=1)return!0;for(var t=0;t<3;++t)if(this._contourCounts[t].length>0||this._dynamicCounts[t]>0)return!0;return!1},R.pickSlots=1,R.setPickBase=function(t){this.pickId=t};var F=[0,0,0],N={showSurface:!1,showContour:!1,projections:[I.slice(),I.slice(),I.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]},B={model:I,view:I,projection:I,inverseModel:I.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},U=I.slice(),V=[1,0,0,0,1,0,0,0,1];R.draw=function(t){return s.call(this,t,!1)},R.drawTransparent=function(t){return s.call(this,t,!0)};var H={model:I,view:I,projection:I,inverseModel:I,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};R.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=H;r.model=t.model||I,r.view=t.view||I,r.projection=t.projection||I,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.permutation=V;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var s=o(r,this);if(s.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=s.projections[n],this._pickShader.uniforms.clipBounds=s.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(s.showContour){var l=this._contourPickShader;l.bind(),l.uniforms=r;var u=this._contourVAO;for(u.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]),l.uniforms.permutation=O[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(l.uniforms.height=this.contourLevels[a][n],u.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(l.uniforms.model=s.projections[n],l.uniforms.clipBounds=s.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){l.uniforms.permutation=O[a],e.lineWidth(this.contourWidth[a]);for(var c=0;c<this.contourLevels[a].length;++c)this._contourCounts[a][c]&&(l.uniforms.height=this.contourLevels[a][c],u.draw(e.LINES,this._contourCounts[a][c],this._contourOffsets[a][c]))}u.unbind()}},R.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var u=r.position;u[0]=u[1]=u[2]=0;for(var c=0;c<2;++c)for(var h=c?a:1-a,f=0;f<2;++f)for(var d=f?l:1-l,p=i+c,m=s+f,g=h*d,v=0;v<3;++v)u[v]+=this._field[v].get(p,m)*g;for(var y=this._pickResult.level,b=0;b<3;++b)if(y[b]=A.le(this.contourLevels[b],u[b]),y[b]<0)this.contourLevels[b].length>0&&(y[b]=0);else if(y[b]<this.contourLevels[b].length-1){var x=this.contourLevels[b][y[b]],_=this.contourLevels[b][y[b]+1];Math.abs(x-u[b])>Math.abs(_-u[b])&&(y[b]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],v=0;v<3;++v)r.dataCoordinate[v]=this._field[v].get(r.index[0],r.index[1]);return r},R.update=function(t){t=t||{},this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=u(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=u(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=u(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=h(t.contourColor)),\"contourProject\"in t&&(this.contourProject=u(t.contourProject,function(t){return u(t,Boolean)})),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=h(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=u(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=u(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0);var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var n=(e.shape[0]+2)*(e.shape[1]+2);n>this._field[2].data.length&&(v.freeFloat(this._field[2].data),this._field[2].data=v.mallocFloat(d.nextPow2(n))),this._field[2]=_(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),l(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(v.freeFloat(this._field[o].data),this._field[o].data=v.mallocFloat(this._field[2].size)),this._field[o]=_(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var s=t.coords;if(!Array.isArray(s)||3!==s.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var c=s[o];for(y=0;y<2;++y)if(c.shape[y]!==a[y])throw new Error(\"gl-surface: coords have incorrect shape\");l(this._field[o],c)}}else if(t.ticks){var f=t.ticks;if(!Array.isArray(f)||2!==f.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=f[o];if((Array.isArray(p)||p.length)&&(p=_(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var m=_(p.data,a);m.stride[o]=p.stride[0],m.stride[1^o]=0,l(this._field[o],m)}}else{for(o=0;o<2;++o){var g=[0,0];g[o]=1,this._field[o]=_(this._field[o].data,[a[0]+2,a[1]+2],g,0)}this._field[0].set(0,0,0);for(var y=0;y<a[0];++y)this._field[0].set(y+1,0,y);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),y=0;y<a[1];++y)this._field[1].set(0,y+1,y);this._field[1].set(0,a[1]+1,a[1]-1)}var b=this._field,x=_(v.mallocFloat(3*b[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)T(x.pick(o),b[o],\"mirror\");var M=_(v.mallocFloat(3*b[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(y=0;y<a[1]+2;++y){var k=x.get(0,o,y,0),A=x.get(0,o,y,1),S=x.get(1,o,y,0),E=x.get(1,o,y,1),L=x.get(2,o,y,0),C=x.get(2,o,y,1),z=S*C-E*L,D=L*A-C*k,I=k*E-A*S,O=Math.sqrt(z*z+D*D+I*I);O<1e-8?(O=Math.max(Math.abs(z),Math.abs(D),Math.abs(I)),O<1e-8?(I=1,D=z=0,O=1):O=1/O):O=1/Math.sqrt(O),M.set(o,y,0,z*O),M.set(o,y,1,D*O),M.set(o,y,2,I*O)}v.free(x.data);var j=[1/0,1/0,1/0],R=[-1/0,-1/0,-1/0],F=1/0,N=-1/0,B=(a[0]-1)*(a[1]-1)*6,U=v.mallocFloat(d.nextPow2(10*B)),V=0,H=0;for(o=0;o<a[0]-1;++o)t:for(y=0;y<a[1]-1;++y){for(var q=0;q<2;++q)for(var G=0;G<2;++G)for(var Y=0;Y<3;++Y){var W=this._field[Y].get(1+o+q,1+y+G);if(isNaN(W)||!isFinite(W))continue t}for(Y=0;Y<6;++Y){var X=o+P[Y][0],Z=y+P[Y][1],J=this._field[0].get(X+1,Z+1),Q=this._field[1].get(X+1,Z+1);W=this._field[2].get(X+1,Z+1);var K=W;z=M.get(X+1,Z+1,0),D=M.get(X+1,Z+1,1),I=M.get(X+1,Z+1,2),t.intensity&&(K=t.intensity.get(X,Z)),U[V++]=X,U[V++]=Z,U[V++]=J,U[V++]=Q,U[V++]=W,U[V++]=0,U[V++]=K,U[V++]=z,U[V++]=D,U[V++]=I,j[0]=Math.min(j[0],J),j[1]=Math.min(j[1],Q),j[2]=Math.min(j[2],W),F=Math.min(F,K),R[0]=Math.max(R[0],J),R[1]=Math.max(R[1],Q),R[2]=Math.max(R[2],W),N=Math.max(N,K),H+=1}}for(t.intensityBounds&&(F=+t.intensityBounds[0],N=+t.intensityBounds[1]),o=6;o<V;o+=10)U[o]=(U[o]-F)/(N-F);this._vertexCount=H,this._coordinateBuffer.update(U.subarray(0,V)),v.freeFloat(U),v.free(M.data),this.bounds=[j,R],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===F&&this.intensityBounds[1]===N||(r=!0),this.intensityBounds=[F,N]}if(\"levels\"in t){var $=t.levels;for($=Array.isArray($[0])?$.slice():[[],[],$],o=0;o<3;++o)$[o]=$[o].slice(),$.sort(function(t,e){return t-e});t:for(o=0;o<3;++o){if($[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;y<$[o].length;++y)if($[o][y]!==this.contourLevels[o][y]){r=!0;break t}}this.contourLevels=$}if(r){b=this._field,a=this.shape;for(var tt=[],et=0;et<3;++et){$=this.contourLevels[et];var rt=[],nt=[],it=[0,0,0];for(o=0;o<$.length;++o){var at=w(this._field[et],$[o]);rt.push(tt.length/5|0),H=0;t:for(y=0;y<at.cells.length;++y){var ot=at.cells[y];for(Y=0;Y<2;++Y){var st=at.positions[ot[Y]],lt=st[0],ut=0|Math.floor(lt),ct=lt-ut,ht=st[1],ft=0|Math.floor(ht),dt=ht-ft,pt=!1;e:for(var mt=0;mt<3;++mt){it[mt]=0;var gt=(et+mt+1)%3;for(q=0;q<2;++q){var vt=q?ct:1-ct;for(X=0|Math.min(Math.max(ut+q,0),a[0]),G=0;G<2;++G){var yt=G?dt:1-dt;if(Z=0|Math.min(Math.max(ft+G,0),a[1]),W=mt<2?this._field[gt].get(X,Z):(this.intensity.get(X,Z)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(W)||isNaN(W)){pt=!0;break e}var bt=vt*yt;it[mt]+=bt*W}}}if(pt){if(Y>0){for(var xt=0;xt<5;++xt)tt.pop();H-=1}continue t}tt.push(it[0],it[1],st[0],st[1],it[2]),H+=1}}nt.push(H)}this._contourOffsets[et]=rt,this._contourCounts[et]=nt}var _t=v.mallocFloat(tt.length);for(o=0;o<tt.length;++o)_t[o]=tt[o];this._contourBuffer.update(_t),v.freeFloat(_t)}t.colormap&&this._colorMap.setPixels(i(t.colormap))},R.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)v.freeFloat(this._field[t].data)},R.highlight=function(t){if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[0/0,0/0,0/0],void(this.highlightLevel=[-1,-1,-1]);for(var e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;var r;if(r=this.snapToData?t.dataCoordinate:t.position,this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=v.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var s=(o+1)%3,l=(o+2)%3,u=this._field[o],c=this._field[s],h=this._field[l],f=(this.intensity,w(u,r[o])),d=f.cells,p=f.positions;for(this._dynamicOffsets[o]=n,e=0;e<d.length;++e)for(var m=d[e],g=0;g<2;++g){var y=p[m[g]],b=+y[0],x=0|b,_=0|Math.min(x+1,i[0]),M=b-x,k=1-M,A=+y[1],T=0|A,S=0|Math.min(T+1,i[1]),E=A-T,L=1-E,C=k*L,z=k*E,D=M*L,I=M*E,P=C*c.get(x,T)+z*c.get(x,S)+D*c.get(_,T)+I*c.get(_,S),O=C*h.get(x,T)+z*h.get(x,S)+D*h.get(_,T)+I*h.get(_,S);if(isNaN(P)||isNaN(O)){g&&(n-=1);break}a[2*n+0]=P,a[2*n+1]=O,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=0/0,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),v.freeFloat(a)}}},{\"./lib/shaders\":249,\"binary-search-bounds\":59,\"bit-twiddle\":60,colormap:92,\"gl-buffer\":141,\"gl-mat4/invert\":165,\"gl-mat4/multiply\":167,\"gl-texture2d\":251,\"gl-vao\":255,ndarray:449,\"ndarray-gradient\":440,\"ndarray-ops\":443,\"ndarray-pack\":444,\"surface-nets\":511,\"typedarray-pool\":521}],251:[function(t,e,r){\"use strict\";function n(t){v=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],y=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],b=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function i(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}function a(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function o(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}function s(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function l(t,e,r,n,i,a,o,l){var u=l.dtype,c=l.shape.slice();if(c.length<2||c.length>3)throw new Error(\"gl-texture2d: Invalid ndarray, must be 2d or 3d\");var h=0,f=0,d=s(c,l.stride.slice());\"float32\"===u?h=t.FLOAT:\"float64\"===u?(h=t.FLOAT,d=!1,u=\"float32\"):\"uint8\"===u?h=t.UNSIGNED_BYTE:(h=t.UNSIGNED_BYTE,d=!1,u=\"uint8\");if(2===c.length)f=t.LUMINANCE,c=[c[0],c[1],1],l=p(l.data,c,[l.stride[0],l.stride[1],1],l.offset);else{if(3!==c.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===c[2])f=t.ALPHA;else if(2===c[2])f=t.LUMINANCE_ALPHA;else if(3===c[2])f=t.RGB;else{if(4!==c[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");f=t.RGBA}c[2]}if(f!==t.LUMINANCE&&f!==t.ALPHA||i!==t.LUMINANCE&&i!==t.ALPHA||(f=i),f!==i)throw new Error(\"gl-texture2d: Incompatible texture format for setPixels\");var v=l.size,y=o.indexOf(n)<0;if(y&&o.push(n),h===a&&d)0===l.offset&&l.data.length===v?y?t.texImage2D(t.TEXTURE_2D,n,i,c[0],c[1],0,i,a,l.data):t.texSubImage2D(t.TEXTURE_2D,n,e,r,c[0],c[1],i,a,l.data):y?t.texImage2D(t.TEXTURE_2D,n,i,c[0],c[1],0,i,a,l.data.subarray(l.offset,l.offset+v)):t.texSubImage2D(t.TEXTURE_2D,n,e,r,c[0],c[1],i,a,l.data.subarray(l.offset,l.offset+v));else{var b;b=a===t.FLOAT?g.mallocFloat32(v):g.mallocUint8(v);var _=p(b,c,[c[2],c[2]*c[0],1]);h===t.FLOAT&&a===t.UNSIGNED_BYTE?x(_,l):m.assign(_,l),y?t.texImage2D(t.TEXTURE_2D,n,i,c[0],c[1],0,i,a,b.subarray(0,v)):t.texSubImage2D(t.TEXTURE_2D,n,e,r,c[0],c[1],i,a,b.subarray(0,v)),a===t.FLOAT?g.freeFloat32(b):g.freeUint8(b)}}function u(t){var e=t.createTexture();return 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n=t(\"./builtins\");n=n.slice().filter(function(t){return!/^(gl\\_|texture)/.test(t)}),e.exports=n.concat([\"gl_VertexID\",\"gl_InstanceID\",\"gl_Position\",\"gl_PointSize\",\"gl_FragCoord\",\"gl_FrontFacing\",\"gl_FragDepth\",\"gl_PointCoord\",\"gl_MaxVertexAttribs\",\"gl_MaxVertexUniformVectors\",\"gl_MaxVertexOutputVectors\",\"gl_MaxFragmentInputVectors\",\"gl_MaxVertexTextureImageUnits\",\"gl_MaxCombinedTextureImageUnits\",\"gl_MaxTextureImageUnits\",\"gl_MaxFragmentUniformVectors\",\"gl_MaxDrawBuffers\",\"gl_MinProgramTexelOffset\",\"gl_MaxProgramTexelOffset\",\"gl_DepthRangeParameters\",\"gl_DepthRange\",\"trunc\",\"round\",\"roundEven\",\"isnan\",\"isinf\",\"floatBitsToInt\",\"floatBitsToUint\",\"intBitsToFloat\",\"uintBitsToFloat\",\"packSnorm2x16\",\"unpackSnorm2x16\",\"packUnorm2x16\",\"unpackUnorm2x16\",\"packHalf2x16\",\"unpackHalf2x16\",\"outerProduct\",\"transpose\",\"determinant\",\"inverse\",\"texture\",\"textureSize\",\"textureProj\",\"textureLod\",\"textureOffset\",\"texelFetch\",\"texelFetchOffset\",\"textureProjOffset\",\"textureLodOffset\",\"textureProjLod\",\"textureProjLodOffset\",\"textureGrad\",\"textureGradOffset\",\"textureProjGrad\",\"textureProjGradOffset\"])},{\"./builtins\":266}],266:[function(t,e,r){e.exports=[\"abs\",\"acos\",\"all\",\"any\",\"asin\",\"atan\",\"ceil\",\"clamp\",\"cos\",\"cross\",\"dFdx\",\"dFdy\",\"degrees\",\"distance\",\"dot\",\"equal\",\"exp\",\"exp2\",\"faceforward\",\"floor\",\"fract\",\"gl_BackColor\",\"gl_BackLightModelProduct\",\"gl_BackLightProduct\",\"gl_BackMaterial\",\"gl_BackSecondaryColor\",\"gl_ClipPlane\",\"gl_ClipVertex\",\"gl_Color\",\"gl_DepthRange\",\"gl_DepthRangeParameters\",\"gl_EyePlaneQ\",\"gl_EyePlaneR\",\"gl_EyePlaneS\",\"gl_EyePlaneT\",\"gl_Fog\",\"gl_FogCoord\",\"gl_FogFragCoord\",\"gl_FogParameters\",\"gl_FragColor\",\"gl_FragCoord\",\"gl_FragData\",\"gl_FragDepth\",\"gl_FragDepthEXT\",\"gl_FrontColor\",\"gl_FrontFacing\",\"gl_FrontLightModelProduct\",\"gl_FrontLightProduct\",\"gl_FrontMaterial\",\"gl_FrontSecondaryColor\",\"gl_LightModel\",\"gl_LightModelParameters\",\"gl_LightModelProducts\",\"gl_LightProducts\",\"gl_LightSource\",\"gl_LightSourceParameters\",\"gl_MaterialParameters\",\"gl_MaxClipPlanes\",\"gl_MaxCombinedTextureImageUnits\",\"gl_MaxDrawBuffers\",\"gl_MaxFragmentUniformComponents\",\"gl_MaxLights\",\"gl_MaxTextureCoords\",\"gl_MaxTextureImageUnits\",\"gl_MaxTextureUnits\",\"gl_MaxVaryingFloats\",\"gl_MaxVertexAttribs\",\"gl_MaxVertexTextureImageUnits\",\"gl_MaxVertexUniformComponents\",\"gl_ModelViewMatrix\",\"gl_ModelViewMatrixInverse\",\"gl_ModelViewMatrixInverseTranspose\",\"gl_ModelViewMatrixTranspose\",\"gl_ModelViewProjectionMatrix\",\"gl_ModelViewProjectionMatrixInverse\",\"gl_ModelViewProjectionMatrixInverseTranspose\",\"gl_ModelViewProjectionMatrixTranspose\",\"gl_MultiTexCoord0\",\"gl_MultiTexCoord1\",\"gl_MultiTexCoord2\",\"gl_MultiTexCoord3\",\"gl_MultiTexCoord4\",\"gl_MultiTexCoord5\",\"gl_MultiTexCoord6\",\"gl_MultiTexCoord7\",\"gl_Normal\",\"gl_NormalMatrix\",\"gl_NormalScale\",\"gl_ObjectPlaneQ\",\"gl_ObjectPlaneR\",\"gl_ObjectPlaneS\",\"gl_ObjectPlaneT\",\"gl_Point\",\"gl_PointCoord\",\"gl_PointParameters\",\"gl_PointSize\",\"gl_Position\",\"gl_ProjectionMatrix\",\"gl_ProjectionMatrixInverse\",\"gl_ProjectionMatrixInverseTranspose\",\"gl_ProjectionMatrixTranspose\",\"gl_SecondaryColor\",\"gl_TexCoord\",\"gl_TextureEnvColor\",\"gl_TextureMatrix\",\"gl_TextureMatrixInverse\",\"gl_TextureMatrixInverseTranspose\",\"gl_TextureMatrixTranspose\",\"gl_Vertex\",\"greaterThan\",\"greaterThanEqual\",\"inversesqrt\",\"length\",\"lessThan\",\"lessThanEqual\",\"log\",\"log2\",\"matrixCompMult\",\"max\",\"min\",\"mix\",\"mod\",\"normalize\",\"not\",\"notEqual\",\"pow\",\"radians\",\"reflect\",\"refract\",\"sign\",\"sin\",\"smoothstep\",\"sqrt\",\"step\",\"tan\",\"texture2D\",\"texture2DLod\",\"texture2DProj\",\"texture2DProjLod\",\"textureCube\",\"textureCubeLod\",\"texture2DLodEXT\",\"texture2DProjLodEXT\",\"textureCubeLodEXT\",\"texture2DGradEXT\",\"texture2DProjGradEXT\",\"textureCubeGradEXT\"]},{}],267:[function(t,e,r){var n=t(\"./literals\");e.exports=n.slice().concat([\"layout\",\"centroid\",\"smooth\",\"case\",\"mat2x2\",\"mat2x3\",\"mat2x4\",\"mat3x2\",\"mat3x3\",\"mat3x4\",\"mat4x2\",\"mat4x3\",\"mat4x4\",\"uint\",\"uvec2\",\"uvec3\",\"uvec4\",\"samplerCubeShadow\",\"sampler2DArray\",\"sampler2DArrayShadow\",\"isampler2D\",\"isampler3D\",\"isamplerCube\",\"isampler2DArray\",\"usampler2D\",\"usampler3D\",\"usamplerCube\",\"usampler2DArray\",\"coherent\",\"restrict\",\"readonly\",\"writeonly\",\"resource\",\"atomic_uint\",\"noperspective\",\"patch\",\"sample\",\"subroutine\",\"common\",\"partition\",\"active\",\"filter\",\"image1D\",\"image2D\",\"image3D\",\"imageCube\",\"iimage1D\",\"iimage2D\",\"iimage3D\",\"iimageCube\",\"uimage1D\",\"uimage2D\",\"uimage3D\",\"uimageCube\",\"image1DArray\",\"image2DArray\",\"iimage1DArray\",\"iimage2DArray\",\"uimage1DArray\",\"uimage2DArray\",\"image1DShadow\",\"image2DShadow\",\"image1DArrayShadow\",\"image2DArrayShadow\",\"imageBuffer\",\"iimageBuffer\",\"uimageBuffer\",\"sampler1DArray\",\"sampler1DArrayShadow\",\"isampler1D\",\"isampler1DArray\",\"usampler1D\",\"usampler1DArray\",\"isampler2DRect\",\"usampler2DRect\",\"samplerBuffer\",\"isamplerBuffer\",\"usamplerBuffer\",\"sampler2DMS\",\"isampler2DMS\",\"usampler2DMS\",\"sampler2DMSArray\",\"isampler2DMSArray\",\"usampler2DMSArray\"])},{\"./literals\":268}],268:[function(t,e,r){e.exports=[\"precision\",\"highp\",\"mediump\",\"lowp\",\"attribute\",\"const\",\"uniform\",\"varying\",\"break\",\"continue\",\"do\",\"for\",\"while\",\"if\",\"else\",\"in\",\"out\",\"inout\",\"float\",\"int\",\"void\",\"bool\",\"true\",\"false\",\"discard\",\"return\",\"mat2\",\"mat3\",\"mat4\",\"vec2\",\"vec3\",\"vec4\",\"ivec2\",\"ivec3\",\"ivec4\",\"bvec2\",\"bvec3\",\"bvec4\",\"sampler1D\",\"sampler2D\",\"sampler3D\",\"samplerCube\",\"sampler1DShadow\",\"sampler2DShadow\",\"struct\",\"asm\",\"class\",\"union\",\"enum\",\"typedef\",\"template\",\"this\",\"packed\",\"goto\",\"switch\",\"default\",\"inline\",\"noinline\",\"volatile\",\"public\",\"static\",\"extern\",\"external\",\"interface\",\"long\",\"short\",\"double\",\"half\",\"fixed\",\"unsigned\",\"input\",\"output\",\"hvec2\",\"hvec3\",\"hvec4\",\"dvec2\",\"dvec3\",\"dvec4\",\"fvec2\",\"fvec3\",\"fvec4\",\"sampler2DRect\",\"sampler3DRect\",\"sampler2DRectShadow\",\"sizeof\",\"cast\",\"namespace\",\"using\"]},{}],269:[function(t,e,r){e.exports=[\"<<=\",\">>=\",\"++\",\"--\",\"<<\",\">>\",\"<=\",\">=\",\"==\",\"!=\",\"&&\",\"||\",\"+=\",\"-=\",\"*=\",\"/=\",\"%=\",\"&=\",\"^^\",\"^=\",\"|=\",\"(\",\")\",\"[\",\"]\",\".\",\"!\",\"~\",\"*\",\"/\",\"%\",\"+\",\"-\",\"<\",\">\",\"&\",\"^\",\"|\",\"?\",\":\",\"=\",\",\",\";\",\"{\",\"}\"]},{}],270:[function(t,e,r){function n(t,e){var r=i(e),n=[];return n=n.concat(r(t)),n=n.concat(r(null))}var i=t(\"./index\");e.exports=n},{\"./index\":264}],271:[function(t,e,r){\"use strict\";function n(t,e,r){var n=this.cells=[];if(t instanceof ArrayBuffer){this.arrayBuffer=t;var a=new Int32Array(this.arrayBuffer);t=a[0],e=a[1],r=a[2],this.d=e+2*r;for(var o=0;o<this.d*this.d;o++){var s=a[i+o],l=a[i+o+1];n.push(s===l?null:a.subarray(s,l))}var u=a[i+n.length],c=a[i+n.length+1];this.keys=a.subarray(u,c),this.bboxes=a.subarray(c),this.insert=this._insertReadonly}else{this.d=e+2*r;for(var h=0;h<this.d*this.d;h++)n.push([]);this.keys=[],this.bboxes=[]}this.n=e,this.extent=t,this.padding=r,this.scale=e/t,this.uid=0;var f=r/e*t;this.min=-f,this.max=t+f}e.exports=n;var i=3;n.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertCell,this.uid++),this.keys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},n.prototype._insertReadonly=function(){throw\"Cannot insert into a GridIndex created from an ArrayBuffer.\"},n.prototype._insertCell=function(t,e,r,n,i,a){this.cells[i].push(a)},n.prototype.query=function(t,e,r,n){var i=this.min,a=this.max;if(t<=i&&e<=i&&a<=r&&a<=n)return Array.prototype.slice.call(this.keys);var o=[],s={};return this._forEachCell(t,e,r,n,this._queryCell,o,s),o},n.prototype._queryCell=function(t,e,r,n,i,a,o){var s=this.cells[i];if(null!==s)for(var l=this.keys,u=this.bboxes,c=0;c<s.length;c++){var h=s[c];if(void 0===o[h]){var f=4*h;t<=u[f+2]&&e<=u[f+3]&&r>=u[f+0]&&n>=u[f+1]?(o[h]=!0,a.push(l[h])):o[h]=!1}}},n.prototype._forEachCell=function(t,e,r,n,i,a,o){for(var s=this._convertToCellCoord(t),l=this._convertToCellCoord(e),u=this._convertToCellCoord(r),c=this._convertToCellCoord(n),h=s;h<=u;h++)for(var f=l;f<=c;f++){var d=this.d*f+h;if(i.call(this,t,e,r,n,d,a,o))return}},n.prototype._convertToCellCoord=function(t){return Math.max(0,Math.min(this.d-1,Math.floor(t*this.scale)+this.padding))},n.prototype.toArrayBuffer=function(){if(this.arrayBuffer)return this.arrayBuffer;for(var t=this.cells,e=i+this.cells.length+1+1,r=0,n=0;n<this.cells.length;n++)r+=this.cells[n].length;var a=new Int32Array(e+r+this.keys.length+this.bboxes.length);a[0]=this.extent,a[1]=this.n,a[2]=this.padding;for(var o=e,s=0;s<t.length;s++){var l=t[s];a[i+s]=o,a.set(l,o),o+=l.length}return a[i+t.length]=o,a.set(this.keys,o),o+=this.keys.length,a[i+t.length+1]=o,a.set(this.bboxes,o),o+=this.bboxes.length,a.buffer}},{}],272:[function(t,e,r){r.read=function(t,e,r,n,i){var a,o,s=8*i-n-1,l=(1<<s)-1,u=l>>1,c=-7,h=r?i-1:0,f=r?-1:1,d=t[e+h];for(h+=f,a=d&(1<<-c)-1,d>>=-c,c+=s;c>0;a=256*a+t[e+h],h+=f,c-=8);for(o=a&(1<<-c)-1,a>>=-c,c+=n;c>0;o=256*o+t[e+h],h+=f,c-=8);if(0===a)a=1-u;else{if(a===l)return o?0/0:1/0*(d?-1:1);o+=Math.pow(2,n),a-=u}return(d?-1:1)*o*Math.pow(2,a-n)},r.write=function(t,e,r,n,i,a){var o,s,l,u=8*a-i-1,c=(1<<u)-1,h=c>>1,f=23===i?Math.pow(2,-24)-Math.pow(2,-77):0,d=n?0:a-1,p=n?1:-1,m=e<0||0===e&&1/e<0?1:0;for(e=Math.abs(e),isNaN(e)||1/0===e?(s=isNaN(e)?1:0,o=c):(o=Math.floor(Math.log(e)/Math.LN2),e*(l=Math.pow(2,-o))<1&&(o--,l*=2),e+=o+h>=1?f/l:f*Math.pow(2,1-h),e*l>=2&&(o++,l/=2),o+h>=c?(s=0,o=c):o+h>=1?(s=(e*l-1)*Math.pow(2,i),o+=h):(s=e*Math.pow(2,h-1)*Math.pow(2,i),o=0));i>=8;t[r+d]=255&s,d+=p,s/=256,i-=8);for(o=o<<i|s,u+=i;u>0;t[r+d]=255&o,d+=p,o/=256,u-=8);t[r+d-p]|=128*m}},{}],273:[function(t,e,r){\"use strict\";function n(t,e,r){this.vertices=t,this.adjacent=e,this.boundary=r,this.lastVisited=-1}function i(t,e,r){this.vertices=t,this.cell=e,this.index=r}function a(t,e){return c(t.vertices,e.vertices)}function o(t){for(var e=[\"function orient(){var tuple=this.tuple;return test(\"],r=0;r<=t;++r)r>0&&e.push(\",\"),e.push(\"tuple[\",r,\"]\");e.push(\")}return orient\");var n=new Function(\"test\",e.join(\"\")),i=u[t+1];return i||(i=u),n(i)}function s(t,e,r){this.dimension=t,this.vertices=e,this.simplices=r,this.interior=r.filter(function(t){return!t.boundary}),this.tuple=new Array(t+1);for(var n=0;n<=t;++n)this.tuple[n]=this.vertices[n];var i=h[t];i||(i=h[t]=o(t)),this.orient=i}function l(t,e){var r=t.length;if(0===r)throw new Error(\"Must have at least d+1 points\");var i=t[0].length;if(r<=i)throw new Error(\"Must input at least d+1 points\");var a=t.slice(0,i+1),o=u.apply(void 0,a);if(0===o)throw new Error(\"Input not in general position\");for(var l=new Array(i+1),c=0;c<=i;++c)l[c]=c;o<0&&(l[0]=1,l[1]=0);for(var h=new n(l,new Array(i+1),!1),f=h.adjacent,d=new Array(i+2),c=0;c<=i;++c){for(var p=l.slice(),m=0;m<=i;++m)m===c&&(p[m]=-1);var g=p[0];p[0]=p[1],p[1]=g;var v=new n(p,new Array(i+1),!0);f[c]=v,d[c]=v}d[i+1]=h;for(var c=0;c<=i;++c)for(var p=f[c].vertices,y=f[c].adjacent,m=0;m<=i;++m){var b=p[m];if(b<0)y[m]=h;else for(var x=0;x<=i;++x)f[x].vertices.indexOf(b)<0&&(y[m]=f[x])}for(var _=new s(i,a,d),w=!!e,c=i+1;c<r;++c)_.insert(t[c],w);return _.boundary()}e.exports=l;var u=t(\"robust-orientation\"),c=t(\"simplicial-complex\").compareCells;n.prototype.flip=function(){var t=this.vertices[0];this.vertices[0]=this.vertices[1],this.vertices[1]=t;var e=this.adjacent[0];this.adjacent[0]=this.adjacent[1],this.adjacent[1]=e};var h=[],f=s.prototype;f.handleBoundaryDegeneracy=function(t,e){var r=this.dimension,n=this.vertices.length-1,i=this.tuple,a=this.vertices,o=[t];for(t.lastVisited=-n;o.length>0;){t=o.pop();for(var s=(t.vertices,t.adjacent),l=0;l<=r;++l){var u=s[l];if(u.boundary&&!(u.lastVisited<=-n)){for(var c=u.vertices,h=0;h<=r;++h){var f=c[h];i[h]=f<0?e:a[f]}var d=this.orient();if(d>0)return u;u.lastVisited=-n,0===d&&o.push(u)}}}return null},f.walk=function(t,e){var r=this.vertices.length-1,n=this.dimension,i=this.vertices,a=this.tuple,o=e?this.interior.length*Math.random()|0:this.interior.length-1,s=this.interior[o];t:for(;!s.boundary;){for(var l=s.vertices,u=s.adjacent,c=0;c<=n;++c)a[c]=i[l[c]];s.lastVisited=r;for(var c=0;c<=n;++c){var h=u[c];if(!(h.lastVisited>=r)){var f=a[c];a[c]=t;var d=this.orient();if(a[c]=f,d<0){s=h;continue t}h.boundary?h.lastVisited=-r:h.lastVisited=r}}return}return s},f.addPeaks=function(t,e){var r=this.vertices.length-1,o=this.dimension,s=this.vertices,l=this.tuple,u=this.interior,c=this.simplices,h=[e];e.lastVisited=r,e.vertices[e.vertices.indexOf(-1)]=r,e.boundary=!1,u.push(e);for(var f=[];h.length>0;){var e=h.pop(),d=e.vertices,p=e.adjacent,m=d.indexOf(r);if(!(m<0))for(var g=0;g<=o;++g)if(g!==m){var v=p[g];if(v.boundary&&!(v.lastVisited>=r)){var y=v.vertices;if(v.lastVisited!==-r){for(var b=0,x=0;x<=o;++x)y[x]<0?(b=x,l[x]=t):l[x]=s[y[x]];var _=this.orient();if(_>0){y[b]=r,v.boundary=!1,u.push(v),h.push(v),v.lastVisited=r;continue}v.lastVisited=-r}var w=v.adjacent,M=d.slice(),k=p.slice(),A=new n(M,k,!0);c.push(A);var T=w.indexOf(e);if(!(T<0)){w[T]=A,k[m]=v,M[g]=-1,k[g]=e,p[g]=A,A.flip();for(var x=0;x<=o;++x){var S=M[x];if(!(S<0||S===r)){for(var E=new Array(o-1),L=0,C=0;C<=o;++C){var z=M[C];z<0||C===x||(E[L++]=z)}f.push(new i(E,A,x))}}}}}}f.sort(a);for(var g=0;g+1<f.length;g+=2){var D=f[g],I=f[g+1],P=D.index,O=I.index;P<0||O<0||(D.cell.adjacent[D.index]=I.cell,I.cell.adjacent[I.index]=D.cell)}},f.insert=function(t,e){var r=this.vertices;r.push(t);var n=this.walk(t,e);if(n){for(var i=this.dimension,a=this.tuple,o=0;o<=i;++o){var s=n.vertices[o];a[o]=s<0?t:r[s]}var l=this.orient(a);l<0||(0!==l||(n=this.handleBoundaryDegeneracy(n,t)))&&this.addPeaks(t,n)}},f.boundary=function(){for(var t=this.dimension,e=[],r=this.simplices,n=r.length,i=0;i<n;++i){var a=r[i];if(a.boundary){for(var o=new Array(t),s=a.vertices,l=0,u=0,c=0;c<=t;++c)s[c]>=0?o[l++]=s[c]:u=1&c;if(u===(1&t)){var h=o[0];o[0]=o[1],o[1]=h}e.push(o)}}return e}},{\"robust-orientation\":489,\"simplicial-complex\":500}],274:[function(t,e,r){\"use strict\";function 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opacity\\n\\n    // unencode the extrusion vector that we snuck into the a_pos vector\\n    v_extrude = vec2(mod(a_pos, 2.0) * 2.0 - 1.0);\\n\\n    vec2 extrude = v_extrude * radius * u_extrude_scale;\\n    // multiply a_pos by 0.5, since we had it * 2 in order to sneak\\n    // in extrusion data\\n    gl_Position = u_matrix * vec4(floor(a_pos * 0.5), 0, 1);\\n\\n    if (u_scale_with_map) {\\n        gl_Position.xy += extrude;\\n    } else {\\n        gl_Position.xy += extrude * gl_Position.w;\\n    }\\n\\n    // This is a minimum blur distance that serves as a faux-antialiasing for\\n    // the circle. since blur is a ratio of the circle's size and the intent is\\n    // to keep the blur at roughly 1px, the two are inversely related.\\n    v_antialiasblur = 1.0 / u_devicepixelratio / radius;\\n}\\n\"},line:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform lowp vec4 u_color;\\nuniform lowp float u_opacity;\\nuniform float u_blur;\\n\\nvarying vec2 v_linewidth;\\nvarying vec2 v_normal;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    // Calculate the distance of the pixel from the line in pixels.\\n    float dist = length(v_normal) * v_linewidth.s;\\n\\n    // Calculate the antialiasing fade factor. This is either when fading in\\n    // the line in case of an offset line (v_linewidth.t) or when fading out\\n    // (v_linewidth.s)\\n    float blur = u_blur * v_gamma_scale;\\n    float alpha = clamp(min(dist - (v_linewidth.t - blur), v_linewidth.s - dist) / blur, 0.0, 1.0);\\n\\n    gl_FragColor = u_color * (alpha * u_opacity);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\n// floor(127 / 2) == 63.0\\n// the maximum allowed miter limit is 2.0 at the moment. the extrude normal is\\n// stored in a byte (-128..127). we scale regular normals up to length 63, but\\n// there are also \\\"special\\\" normals that have a bigger length (of up to 126 in\\n// this case).\\n// #define scale 63.0\\n#define scale 0.015873016\\n\\nattribute vec2 a_pos;\\nattribute vec4 a_data;\\n\\nuniform mat4 u_matrix;\\nuniform mediump float u_ratio;\\nuniform mediump float u_linewidth;\\nuniform mediump float u_gapwidth;\\nuniform mediump float u_antialiasing;\\nuniform mediump float u_extra;\\nuniform mat2 u_antialiasingmatrix;\\nuniform mediump float u_offset;\\nuniform mediump float u_blur;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_linewidth;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    vec2 a_extrude = a_data.xy - 128.0;\\n    float a_direction = mod(a_data.z, 4.0) - 1.0;\\n\\n    // We store the texture normals in the most insignificant bit\\n    // transform y so that 0 => -1 and 1 => 1\\n    // In the texture normal, x is 0 if the normal points straight up/down and 1 if it's a round cap\\n    // y is 1 if the normal points up, and -1 if it points down\\n    mediump vec2 normal = mod(a_pos, 2.0);\\n    normal.y = sign(normal.y - 0.5);\\n    v_normal = normal;\\n\\n    float inset = u_gapwidth + (u_gapwidth > 0.0 ? u_antialiasing : 0.0);\\n    float outset = u_gapwidth + u_linewidth * (u_gapwidth > 0.0 ? 2.0 : 1.0) + u_antialiasing;\\n\\n    // Scale the extrusion vector down to a normal and then up by the line width\\n    // of this vertex.\\n    mediump vec2 dist = outset * a_extrude * scale;\\n\\n    // Calculate the offset when drawing a line that is to the side of the actual line.\\n    // We do this by creating a vector that points towards the extrude, but rotate\\n    // it when we're drawing round end points (a_direction = -1 or 1) since their\\n    // extrude vector points in another direction.\\n    mediump float u = 0.5 * a_direction;\\n    mediump float t = 1.0 - abs(u);\\n    mediump vec2 offset = u_offset * a_extrude * scale * normal.y * mat2(t, -u, u, t);\\n\\n    // Remove the texture normal bit of the position before scaling it with the\\n    // model/view matrix.\\n    gl_Position = u_matrix * vec4(floor(a_pos * 0.5) + (offset + dist) / u_ratio, 0.0, 1.0);\\n\\n    // position of y on the screen\\n    float y = gl_Position.y / gl_Position.w;\\n\\n    // how much features are squished in the y direction by the tilt\\n    float squish_scale = length(a_extrude) / length(u_antialiasingmatrix * a_extrude);\\n\\n    // how much features are squished in all directions by the perspectiveness\\n    float perspective_scale = 1.0 / (1.0 - min(y * u_extra, 0.9));\\n\\n    v_linewidth = vec2(outset, inset);\\n    v_gamma_scale = perspective_scale * squish_scale;\\n}\\n\"},linepattern:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform float u_blur;\\n\\nuniform vec2 u_pattern_size_a;\\nuniform vec2 u_pattern_size_b;\\nuniform vec2 u_pattern_tl_a;\\nuniform vec2 u_pattern_br_a;\\nuniform vec2 u_pattern_tl_b;\\nuniform vec2 u_pattern_br_b;\\nuniform float u_fade;\\nuniform float u_opacity;\\n\\nuniform sampler2D u_image;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_linewidth;\\nvarying float v_linesofar;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    // Calculate the distance of the pixel from the line in pixels.\\n    float dist = length(v_normal) * v_linewidth.s;\\n\\n    // Calculate the antialiasing fade factor. This is either when fading in\\n    // the line in case of an offset line (v_linewidth.t) or when fading out\\n    // (v_linewidth.s)\\n    float blur = u_blur * v_gamma_scale;\\n    float alpha = clamp(min(dist - (v_linewidth.t - blur), v_linewidth.s - dist) / blur, 0.0, 1.0);\\n\\n    float x_a = mod(v_linesofar / u_pattern_size_a.x, 1.0);\\n    float x_b = mod(v_linesofar / u_pattern_size_b.x, 1.0);\\n    float y_a = 0.5 + (v_normal.y * v_linewidth.s / u_pattern_size_a.y);\\n    float y_b = 0.5 + (v_normal.y * v_linewidth.s / u_pattern_size_b.y);\\n    vec2 pos_a = mix(u_pattern_tl_a, u_pattern_br_a, vec2(x_a, y_a));\\n    vec2 pos_b = mix(u_pattern_tl_b, u_pattern_br_b, vec2(x_b, y_b));\\n\\n    vec4 color = mix(texture2D(u_image, pos_a), texture2D(u_image, pos_b), u_fade);\\n\\n    alpha *= u_opacity;\\n\\n    gl_FragColor = color * alpha;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\n// floor(127 / 2) == 63.0\\n// the maximum allowed miter limit is 2.0 at the moment. the extrude normal is\\n// stored in a byte (-128..127). we scale regular normals up to length 63, but\\n// there are also \\\"special\\\" normals that have a bigger length (of up to 126 in\\n// this case).\\n// #define scale 63.0\\n#define scale 0.015873016\\n\\n// We scale the distance before adding it to the buffers so that we can store\\n// long distances for long segments. Use this value to unscale the distance.\\n#define LINE_DISTANCE_SCALE 2.0\\n\\nattribute vec2 a_pos;\\nattribute vec4 a_data;\\n\\nuniform mat4 u_matrix;\\nuniform mediump float u_ratio;\\nuniform mediump float u_linewidth;\\nuniform mediump float u_gapwidth;\\nuniform mediump float u_antialiasing;\\nuniform mediump float u_extra;\\nuniform mat2 u_antialiasingmatrix;\\nuniform mediump float u_offset;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_linewidth;\\nvarying float v_linesofar;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    vec2 a_extrude = a_data.xy - 128.0;\\n    float a_direction = mod(a_data.z, 4.0) - 1.0;\\n    float a_linesofar = (floor(a_data.z / 4.0) + a_data.w * 64.0) * LINE_DISTANCE_SCALE;\\n\\n    // We store the texture normals in the most insignificant bit\\n    // transform y so that 0 => -1 and 1 => 1\\n    // In the texture normal, x is 0 if the normal points straight up/down and 1 if it's a round cap\\n    // y is 1 if the normal points up, and -1 if it points down\\n    mediump vec2 normal = mod(a_pos, 2.0);\\n    normal.y = sign(normal.y - 0.5);\\n    v_normal = normal;\\n\\n    float inset = u_gapwidth + (u_gapwidth > 0.0 ? u_antialiasing : 0.0);\\n    float outset = u_gapwidth + u_linewidth * (u_gapwidth > 0.0 ? 2.0 : 1.0) + u_antialiasing;\\n\\n    // Scale the extrusion vector down to a normal and then up by the line width\\n    // of this vertex.\\n    mediump vec2 dist = outset * a_extrude * scale;\\n\\n    // Calculate the offset when drawing a line that is to the side of the actual line.\\n    // We do this by creating a vector that points towards the extrude, but rotate\\n    // it when we're drawing round end points (a_direction = -1 or 1) since their\\n    // extrude vector points in another direction.\\n    mediump float u = 0.5 * a_direction;\\n    mediump float t = 1.0 - abs(u);\\n    mediump vec2 offset = u_offset * a_extrude * scale * normal.y * mat2(t, -u, u, t);\\n\\n    // Remove the texture normal bit of the position before scaling it with the\\n    // model/view matrix.\\n    gl_Position = u_matrix * vec4(floor(a_pos * 0.5) + (offset + dist) / u_ratio, 0.0, 1.0);\\n    v_linesofar = a_linesofar;\\n\\n    // position of y on the screen\\n    float y = gl_Position.y / gl_Position.w;\\n\\n    // how much features are squished in the y direction by the tilt\\n    float squish_scale = length(a_extrude) / length(u_antialiasingmatrix * a_extrude);\\n\\n    // how much features are squished in all directions by the perspectiveness\\n    float perspective_scale = 1.0 / (1.0 - min(y * u_extra, 0.9));\\n\\n    v_linewidth = vec2(outset, inset);\\n    v_gamma_scale = perspective_scale * squish_scale;\\n}\\n\"},linesdfpattern:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform lowp vec4 u_color;\\nuniform lowp float u_opacity;\\n\\nuniform float u_blur;\\nuniform sampler2D u_image;\\nuniform float u_sdfgamma;\\nuniform float u_mix;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_linewidth;\\nvarying vec2 v_tex_a;\\nvarying vec2 v_tex_b;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    // Calculate the distance of the pixel from the line in pixels.\\n    float dist = length(v_normal) * v_linewidth.s;\\n\\n    // Calculate the antialiasing fade factor. This is either when fading in\\n    // the line in case of an offset line (v_linewidth.t) or when fading out\\n    // (v_linewidth.s)\\n    float blur = u_blur * v_gamma_scale;\\n    float alpha = clamp(min(dist - (v_linewidth.t - blur), v_linewidth.s - dist) / blur, 0.0, 1.0);\\n\\n    float sdfdist_a = texture2D(u_image, v_tex_a).a;\\n    float sdfdist_b = texture2D(u_image, v_tex_b).a;\\n    float sdfdist = mix(sdfdist_a, sdfdist_b, u_mix);\\n    alpha *= smoothstep(0.5 - u_sdfgamma, 0.5 + u_sdfgamma, sdfdist);\\n\\n    gl_FragColor = u_color * (alpha * u_opacity);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\n// floor(127 / 2) == 63.0\\n// the maximum allowed miter limit is 2.0 at the moment. the extrude normal is\\n// stored in a byte (-128..127). we scale regular normals up to length 63, but\\n// there are also \\\"special\\\" normals that have a bigger length (of up to 126 in\\n// this case).\\n// #define scale 63.0\\n#define scale 0.015873016\\n\\n// We scale the distance before adding it to the buffers so that we can store\\n// long distances for long segments. Use this value to unscale the distance.\\n#define LINE_DISTANCE_SCALE 2.0\\n\\nattribute vec2 a_pos;\\nattribute vec4 a_data;\\n\\nuniform mat4 u_matrix;\\nuniform mediump float u_ratio;\\nuniform mediump float u_linewidth;\\nuniform mediump float u_gapwidth;\\nuniform mediump float u_antialiasing;\\nuniform vec2 u_patternscale_a;\\nuniform float u_tex_y_a;\\nuniform vec2 u_patternscale_b;\\nuniform float u_tex_y_b;\\nuniform float u_extra;\\nuniform mat2 u_antialiasingmatrix;\\nuniform mediump float u_offset;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_linewidth;\\nvarying vec2 v_tex_a;\\nvarying vec2 v_tex_b;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    vec2 a_extrude = a_data.xy - 128.0;\\n    float a_direction = mod(a_data.z, 4.0) - 1.0;\\n    float a_linesofar = (floor(a_data.z / 4.0) + a_data.w * 64.0) * LINE_DISTANCE_SCALE;\\n\\n    // We store the texture normals in the most insignificant bit\\n    // transform y so that 0 => -1 and 1 => 1\\n    // In the texture normal, x is 0 if the normal points straight up/down and 1 if it's a round cap\\n    // y is 1 if the normal points up, and -1 if it points down\\n    mediump vec2 normal = mod(a_pos, 2.0);\\n    normal.y = sign(normal.y - 0.5);\\n    v_normal = normal;\\n\\n    float inset = u_gapwidth + (u_gapwidth > 0.0 ? u_antialiasing : 0.0);\\n    float outset = u_gapwidth + u_linewidth * (u_gapwidth > 0.0 ? 2.0 : 1.0) + u_antialiasing;\\n\\n    // Scale the extrusion vector down to a normal and then up by the line width\\n    // of this vertex.\\n    mediump vec2 dist = outset * a_extrude * scale;\\n\\n    // Calculate the offset when drawing a line that is to the side of the actual line.\\n    // We do this by creating a vector that points towards the extrude, but rotate\\n    // it when we're drawing round end points (a_direction = -1 or 1) since their\\n    // extrude vector points in another direction.\\n    mediump float u = 0.5 * a_direction;\\n    mediump float t = 1.0 - abs(u);\\n    mediump vec2 offset = u_offset * a_extrude * scale * normal.y * mat2(t, -u, u, t);\\n\\n    // Remove the texture normal bit of the position before scaling it with the\\n    // model/view matrix.\\n    gl_Position = u_matrix * vec4(floor(a_pos * 0.5) + (offset + dist) / u_ratio, 0.0, 1.0);\\n\\n    v_tex_a = vec2(a_linesofar * u_patternscale_a.x, normal.y * u_patternscale_a.y + u_tex_y_a);\\n    v_tex_b = vec2(a_linesofar * u_patternscale_b.x, normal.y * u_patternscale_b.y + u_tex_y_b);\\n\\n    // position of y on the screen\\n    float y = gl_Position.y / gl_Position.w;\\n\\n    // how much features are squished in the y direction by the tilt\\n    float squish_scale = length(a_extrude) / length(u_antialiasingmatrix * a_extrude);\\n\\n    // how much features are squished in all directions by the perspectiveness\\n    float perspective_scale = 1.0 / (1.0 - min(y * u_extra, 0.9));\\n\\n    v_linewidth = vec2(outset, inset);\\n    v_gamma_scale = perspective_scale * squish_scale;\\n}\\n\"},outline:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\n#pragma mapbox: define lowp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\n\\nvarying vec2 v_pos;\\n\\nvoid main() {\\n    #pragma mapbox: initialize lowp vec4 outline_color\\n    #pragma mapbox: initialize lowp float opacity\\n\\n    float dist = length(v_pos - gl_FragCoord.xy);\\n    float alpha = smoothstep(1.0, 0.0, dist);\\n    gl_FragColor = outline_color * (alpha * opacity);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nattribute vec2 a_pos;\\n\\nuniform mat4 u_matrix;\\nuniform vec2 u_world;\\n\\nvarying vec2 v_pos;\\n\\n#pragma mapbox: define lowp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\n\\nvoid main() {\\n    #pragma mapbox: initialize lowp vec4 outline_color\\n    #pragma mapbox: initialize lowp float opacity\\n\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n    v_pos = (gl_Position.xy / gl_Position.w + 1.0) / 2.0 * u_world;\\n}\\n\"},outlinepattern:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform float u_opacity;\\nuniform vec2 u_pattern_tl_a;\\nuniform vec2 u_pattern_br_a;\\nuniform vec2 u_pattern_tl_b;\\nuniform vec2 u_pattern_br_b;\\nuniform float u_mix;\\n\\nuniform sampler2D u_image;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\nvarying vec2 v_pos;\\n\\nvoid main() {\\n    vec2 imagecoord = mod(v_pos_a, 1.0);\\n    vec2 pos = mix(u_pattern_tl_a, u_pattern_br_a, imagecoord);\\n    vec4 color1 = texture2D(u_image, pos);\\n\\n    vec2 imagecoord_b = mod(v_pos_b, 1.0);\\n    vec2 pos2 = mix(u_pattern_tl_b, u_pattern_br_b, imagecoord_b);\\n    vec4 color2 = texture2D(u_image, pos2);\\n\\n    // find distance to outline for alpha interpolation\\n\\n    float dist = length(v_pos - gl_FragCoord.xy);\\n    float alpha = smoothstep(1.0, 0.0, dist);\\n    \\n\\n    gl_FragColor = mix(color1, color2, u_mix) * alpha * u_opacity;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform vec2 u_pattern_size_a;\\nuniform vec2 u_pattern_size_b;\\nuniform vec2 u_pixel_coord_upper;\\nuniform vec2 u_pixel_coord_lower;\\nuniform float u_scale_a;\\nuniform float u_scale_b;\\nuniform float u_tile_units_to_pixels;\\n\\nattribute vec2 a_pos;\\n\\nuniform mat4 u_matrix;\\nuniform vec2 u_world;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\nvarying vec2 v_pos;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n    vec2 scaled_size_a = u_scale_a * u_pattern_size_a;\\n    vec2 scaled_size_b = u_scale_b * u_pattern_size_b;\\n\\n    // the correct offset needs to be calculated.\\n    //\\n    // The offset depends on how many pixels are between the world origin and\\n    // the edge of the tile:\\n    // vec2 offset = mod(pixel_coord, size)\\n    //\\n    // At high zoom levels there are a ton of pixels between the world origin\\n    // and the edge of the tile. The glsl spec only guarantees 16 bits of\\n    // precision for highp floats. We need more than that.\\n    //\\n    // The pixel_coord is passed in as two 16 bit values:\\n    // pixel_coord_upper = floor(pixel_coord / 2^16)\\n    // pixel_coord_lower = mod(pixel_coord, 2^16)\\n    //\\n    // The offset is calculated in a series of steps that should preserve this precision:\\n    vec2 offset_a = mod(mod(mod(u_pixel_coord_upper, scaled_size_a) * 256.0, scaled_size_a) * 256.0 + u_pixel_coord_lower, scaled_size_a);\\n    vec2 offset_b = mod(mod(mod(u_pixel_coord_upper, scaled_size_b) * 256.0, scaled_size_b) * 256.0 + u_pixel_coord_lower, scaled_size_b);\\n\\n    v_pos_a = (u_tile_units_to_pixels * a_pos + offset_a) / scaled_size_a;\\n    v_pos_b = (u_tile_units_to_pixels * a_pos + offset_b) / scaled_size_b;\\n\\n    v_pos = (gl_Position.xy / gl_Position.w + 1.0) / 2.0 * u_world;\\n}\\n\"},pattern:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform float u_opacity;\\nuniform vec2 u_pattern_tl_a;\\nuniform vec2 u_pattern_br_a;\\nuniform vec2 u_pattern_tl_b;\\nuniform vec2 u_pattern_br_b;\\nuniform float u_mix;\\n\\nuniform sampler2D u_image;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\n\\nvoid main() {\\n\\n    vec2 imagecoord = mod(v_pos_a, 1.0);\\n    vec2 pos = mix(u_pattern_tl_a, u_pattern_br_a, imagecoord);\\n    vec4 color1 = texture2D(u_image, pos);\\n\\n    vec2 imagecoord_b = mod(v_pos_b, 1.0);\\n    vec2 pos2 = mix(u_pattern_tl_b, u_pattern_br_b, imagecoord_b);\\n    vec4 color2 = texture2D(u_image, pos2);\\n\\n    gl_FragColor = mix(color1, color2, u_mix) * u_opacity;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform mat4 u_matrix;\\nuniform vec2 u_pattern_size_a;\\nuniform vec2 u_pattern_size_b;\\nuniform vec2 u_pixel_coord_upper;\\nuniform vec2 u_pixel_coord_lower;\\nuniform float u_scale_a;\\nuniform float u_scale_b;\\nuniform float u_tile_units_to_pixels;\\n\\nattribute vec2 a_pos;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n    vec2 scaled_size_a = u_scale_a * u_pattern_size_a;\\n    vec2 scaled_size_b = u_scale_b * u_pattern_size_b;\\n\\n    // the correct offset needs to be calculated.\\n    //\\n    // The offset depends on how many pixels are between the world origin and\\n    // the edge of the tile:\\n    // vec2 offset = mod(pixel_coord, size)\\n    //\\n    // At high zoom levels there are a ton of pixels between the world origin\\n    // and the edge of the tile. The glsl spec only guarantees 16 bits of\\n    // precision for highp floats. We need more than that.\\n    //\\n    // The pixel_coord is passed in as two 16 bit values:\\n    // pixel_coord_upper = floor(pixel_coord / 2^16)\\n    // pixel_coord_lower = mod(pixel_coord, 2^16)\\n    //\\n    // The offset is calculated in a series of steps that should preserve this precision:\\n    vec2 offset_a = mod(mod(mod(u_pixel_coord_upper, scaled_size_a) * 256.0, scaled_size_a) * 256.0 + u_pixel_coord_lower, scaled_size_a);\\n    vec2 offset_b = mod(mod(mod(u_pixel_coord_upper, scaled_size_b) * 256.0, scaled_size_b) * 256.0 + u_pixel_coord_lower, scaled_size_b);\\n\\n    v_pos_a = (u_tile_units_to_pixels * a_pos + offset_a) / scaled_size_a;\\n    v_pos_b = (u_tile_units_to_pixels * a_pos + offset_b) / scaled_size_b;\\n}\\n\"},raster:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform float u_opacity0;\\nuniform float u_opacity1;\\nuniform sampler2D u_image0;\\nuniform sampler2D u_image1;\\nvarying vec2 v_pos0;\\nvarying vec2 v_pos1;\\n\\nuniform float u_brightness_low;\\nuniform float u_brightness_high;\\n\\nuniform float u_saturation_factor;\\nuniform float u_contrast_factor;\\nuniform vec3 u_spin_weights;\\n\\nvoid main() {\\n\\n    // read and cross-fade colors from the main and parent tiles\\n    vec4 color0 = texture2D(u_image0, v_pos0);\\n    vec4 color1 = texture2D(u_image1, v_pos1);\\n    vec4 color = color0 * u_opacity0 + color1 * u_opacity1;\\n    vec3 rgb = color.rgb;\\n\\n    // spin\\n    rgb = vec3(\\n        dot(rgb, u_spin_weights.xyz),\\n        dot(rgb, u_spin_weights.zxy),\\n        dot(rgb, u_spin_weights.yzx));\\n\\n    // saturation\\n    float average = (color.r + color.g + color.b) / 3.0;\\n    rgb += (average - rgb) * u_saturation_factor;\\n\\n    // contrast\\n    rgb = (rgb - 0.5) * u_contrast_factor + 0.5;\\n\\n    // brightness\\n    vec3 u_high_vec = vec3(u_brightness_low, u_brightness_low, u_brightness_low);\\n    vec3 u_low_vec = vec3(u_brightness_high, u_brightness_high, u_brightness_high);\\n\\n    gl_FragColor = vec4(mix(u_high_vec, u_low_vec, rgb), color.a);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",\n",
       "vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform mat4 u_matrix;\\nuniform vec2 u_tl_parent;\\nuniform float u_scale_parent;\\nuniform float u_buffer_scale;\\n\\nattribute vec2 a_pos;\\nattribute vec2 a_texture_pos;\\n\\nvarying vec2 v_pos0;\\nvarying vec2 v_pos1;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n    v_pos0 = (((a_texture_pos / 32767.0) - 0.5) / u_buffer_scale ) + 0.5;\\n    v_pos1 = (v_pos0 * u_scale_parent) + u_tl_parent;\\n}\\n\"},icon:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform sampler2D u_texture;\\nuniform sampler2D u_fadetexture;\\nuniform lowp float u_opacity;\\n\\nvarying vec2 v_tex;\\nvarying vec2 v_fade_tex;\\n\\nvoid main() {\\n    lowp float alpha = texture2D(u_fadetexture, v_fade_tex).a * u_opacity;\\n    gl_FragColor = texture2D(u_texture, v_tex) * alpha;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nattribute vec2 a_pos;\\nattribute vec2 a_offset;\\nattribute vec2 a_texture_pos;\\nattribute vec4 a_data;\\n\\n\\n// matrix is for the vertex position.\\nuniform mat4 u_matrix;\\n\\nuniform mediump float u_zoom;\\nuniform bool u_rotate_with_map;\\nuniform vec2 u_extrude_scale;\\n\\nuniform vec2 u_texsize;\\n\\nvarying vec2 v_tex;\\nvarying vec2 v_fade_tex;\\n\\nvoid main() {\\n    vec2 a_tex = a_texture_pos.xy;\\n    mediump float a_labelminzoom = a_data[0];\\n    mediump vec2 a_zoom = a_data.pq;\\n    mediump float a_minzoom = a_zoom[0];\\n    mediump float a_maxzoom = a_zoom[1];\\n\\n    // u_zoom is the current zoom level adjusted for the change in font size\\n    mediump float z = 2.0 - step(a_minzoom, u_zoom) - (1.0 - step(a_maxzoom, u_zoom));\\n\\n    vec2 extrude = u_extrude_scale * (a_offset / 64.0);\\n    if (u_rotate_with_map) {\\n        gl_Position = u_matrix * vec4(a_pos + extrude, 0, 1);\\n        gl_Position.z += z * gl_Position.w;\\n    } else {\\n        gl_Position = u_matrix * vec4(a_pos, 0, 1) + vec4(extrude, 0, 0);\\n    }\\n\\n    v_tex = a_tex / u_texsize;\\n    v_fade_tex = vec2(a_labelminzoom / 255.0, 0.0);\\n}\\n\"},sdf:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform sampler2D u_texture;\\nuniform sampler2D u_fadetexture;\\nuniform lowp vec4 u_color;\\nuniform lowp float u_opacity;\\nuniform lowp float u_buffer;\\nuniform lowp float u_gamma;\\n\\nvarying vec2 v_tex;\\nvarying vec2 v_fade_tex;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    lowp float dist = texture2D(u_texture, v_tex).a;\\n    lowp float fade_alpha = texture2D(u_fadetexture, v_fade_tex).a;\\n    lowp float gamma = u_gamma * v_gamma_scale;\\n    lowp float alpha = smoothstep(u_buffer - gamma, u_buffer + gamma, dist) * fade_alpha;\\n\\n    gl_FragColor = u_color * (alpha * u_opacity);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nconst float PI = 3.141592653589793;\\n\\nattribute vec2 a_pos;\\nattribute vec2 a_offset;\\nattribute vec2 a_texture_pos;\\nattribute vec4 a_data;\\n\\n\\n// matrix is for the vertex position.\\nuniform mat4 u_matrix;\\n\\nuniform mediump float u_zoom;\\nuniform bool u_rotate_with_map;\\nuniform bool u_pitch_with_map;\\nuniform mediump float u_pitch;\\nuniform mediump float u_bearing;\\nuniform mediump float u_aspect_ratio;\\nuniform vec2 u_extrude_scale;\\n\\nuniform vec2 u_texsize;\\n\\nvarying vec2 v_tex;\\nvarying vec2 v_fade_tex;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    vec2 a_tex = a_texture_pos.xy;\\n    mediump float a_labelminzoom = a_data[0];\\n    mediump vec2 a_zoom = a_data.pq;\\n    mediump float a_minzoom = a_zoom[0];\\n    mediump float a_maxzoom = a_zoom[1];\\n\\n    // u_zoom is the current zoom level adjusted for the change in font size\\n    mediump float z = 2.0 - step(a_minzoom, u_zoom) - (1.0 - step(a_maxzoom, u_zoom));\\n\\n    // pitch-alignment: map\\n    // rotation-alignment: map | viewport\\n    if (u_pitch_with_map) {\\n        lowp float angle = u_rotate_with_map ? (a_data[1] / 256.0 * 2.0 * PI) : u_bearing;\\n        lowp float asin = sin(angle);\\n        lowp float acos = cos(angle);\\n        mat2 RotationMatrix = mat2(acos, asin, -1.0 * asin, acos);\\n        vec2 offset = RotationMatrix * a_offset;\\n        vec2 extrude = u_extrude_scale * (offset / 64.0);\\n        gl_Position = u_matrix * vec4(a_pos + extrude, 0, 1);\\n        gl_Position.z += z * gl_Position.w;\\n    // pitch-alignment: viewport\\n    // rotation-alignment: map\\n    } else if (u_rotate_with_map) {\\n        // foreshortening factor to apply on pitched maps\\n        // as a label goes from horizontal <=> vertical in angle\\n        // it goes from 0% foreshortening to up to around 70% foreshortening\\n        lowp float pitchfactor = 1.0 - cos(u_pitch * sin(u_pitch * 0.75));\\n\\n        lowp float lineangle = a_data[1] / 256.0 * 2.0 * PI;\\n\\n        // use the lineangle to position points a,b along the line\\n        // project the points and calculate the label angle in projected space\\n        // this calculation allows labels to be rendered unskewed on pitched maps\\n        vec4 a = u_matrix * vec4(a_pos, 0, 1);\\n        vec4 b = u_matrix * vec4(a_pos + vec2(cos(lineangle),sin(lineangle)), 0, 1);\\n        lowp float angle = atan((b[1]/b[3] - a[1]/a[3])/u_aspect_ratio, b[0]/b[3] - a[0]/a[3]);\\n        lowp float asin = sin(angle);\\n        lowp float acos = cos(angle);\\n        mat2 RotationMatrix = mat2(acos, -1.0 * asin, asin, acos);\\n\\n        vec2 offset = RotationMatrix * (vec2((1.0-pitchfactor)+(pitchfactor*cos(angle*2.0)), 1.0) * a_offset);\\n        vec2 extrude = u_extrude_scale * (offset / 64.0);\\n        gl_Position = u_matrix * vec4(a_pos, 0, 1) + vec4(extrude, 0, 0);\\n        gl_Position.z += z * gl_Position.w;\\n    // pitch-alignment: viewport\\n    // rotation-alignment: viewport\\n    } else {\\n        vec2 extrude = u_extrude_scale * (a_offset / 64.0);\\n        gl_Position = u_matrix * vec4(a_pos, 0, 1) + vec4(extrude, 0, 0);\\n    }\\n\\n    v_gamma_scale = (gl_Position.w - 0.5);\\n\\n    v_tex = a_tex / u_texsize;\\n    v_fade_tex = vec2(a_labelminzoom / 255.0, 0.0);\\n}\\n\"},collisionbox:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform float u_zoom;\\nuniform float u_maxzoom;\\n\\nvarying float v_max_zoom;\\nvarying float v_placement_zoom;\\n\\nvoid main() {\\n\\n    float alpha = 0.5;\\n\\n    gl_FragColor = vec4(0.0, 1.0, 0.0, 1.0) * alpha;\\n\\n    if (v_placement_zoom > u_zoom) {\\n        gl_FragColor = vec4(1.0, 0.0, 0.0, 1.0) * alpha;\\n    }\\n\\n    if (u_zoom >= v_max_zoom) {\\n        gl_FragColor = vec4(0.0, 0.0, 0.0, 1.0) * alpha * 0.25;\\n    }\\n\\n    if (v_placement_zoom >= u_maxzoom) {\\n        gl_FragColor = vec4(0.0, 0.0, 1.0, 1.0) * alpha * 0.2;\\n    }\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nattribute vec2 a_pos;\\nattribute vec2 a_extrude;\\nattribute vec2 a_data;\\n\\nuniform mat4 u_matrix;\\nuniform float u_scale;\\n\\nvarying float v_max_zoom;\\nvarying float v_placement_zoom;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos + a_extrude / u_scale, 0.0, 1.0);\\n\\n    v_max_zoom = a_data.x;\\n    v_placement_zoom = a_data.y;\\n}\\n\"}},e.exports.util=\"float evaluate_zoom_function_1(const vec4 values, const float t) {\\n    if (t < 1.0) {\\n        return mix(values[0], values[1], t);\\n    } else if (t < 2.0) {\\n        return mix(values[1], values[2], t - 1.0);\\n    } else {\\n        return mix(values[2], values[3], t - 2.0);\\n    }\\n}\\nvec4 evaluate_zoom_function_4(const vec4 value0, const vec4 value1, const vec4 value2, const vec4 value3, const float t) {\\n    if (t < 1.0) {\\n        return mix(value0, value1, t);\\n    } else if (t < 2.0) {\\n        return mix(value1, value2, t - 1.0);\\n    } else {\\n        return 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o({key:r+\".type\",value:e.type,valueSpec:{values:[\"vector\",\"raster\",\"geojson\",\"video\",\"image\"]},style:l,styleSpec:s})}}},{\"../error/validation_error\":286,\"../util/unbundle_jsonlint\":289,\"./validate_enum\":295,\"./validate_object\":302}],305:[function(t,e,r){\"use strict\";var n=t(\"../util/get_type\"),i=t(\"../error/validation_error\");e.exports=function(t){var e=t.value,r=t.key,a=n(e);return\"string\"!==a?[new i(r,e,\"string expected, %s found\",a)]:[]}},{\"../error/validation_error\":286,\"../util/get_type\":288}],306:[function(t,e,r){\"use strict\";function n(t,e){e=e||l;var r=[];return r=r.concat(s({key:\"\",value:t,valueSpec:e.$root,styleSpec:e,style:t,objectElementValidators:{glyphs:u}})),e.$version>7&&t.constants&&(r=r.concat(o({key:\"constants\",value:t.constants,style:t,styleSpec:e}))),i(r)}function i(t){return[].concat(t).sort(function(t,e){return t.line-e.line})}function a(t){return function(){return i(t.apply(this,arguments))}}var 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new({fill:t(\"./bucket/fill_bucket\"),line:t(\"./bucket/line_bucket\"),circle:t(\"./bucket/circle_bucket\"),symbol:t(\"./bucket/symbol_bucket\")}[e.layer.type])(e)},n.EXTENT=8192,n.prototype.populateArrays=function(){this.createArrays(),this.recalculateStyleLayers();for(var t=0;t<this.features.length;t++)this.addFeature(this.features[t]);this.trimArrays()},n.prototype.prepareArrayGroup=function(t,e){var r=this.arrayGroups[t],n=r.length&&r[r.length-1];return n&&n.hasCapacityFor(e)||(n=new l({layoutVertexArrayType:this.programInterfaces[t].layoutVertexArrayType,elementArrayType:this.programInterfaces[t].elementArrayType,elementArrayType2:this.programInterfaces[t].elementArrayType2,paintVertexArrayTypes:this.paintVertexArrayTypes[t]}),n.index=r.length,r.push(n)),n},n.prototype.createArrays=function(){this.arrayGroups={},this.paintVertexArrayTypes={};for(var t in this.programInterfaces){this.arrayGroups[t]=[];var e=this.paintVertexArrayTypes[t]={},r=this.paintAttributes[t];for(var i in 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t.serialize()})}),paintVertexArrayTypes:c.mapObject(this.paintVertexArrayTypes,function(t){return c.mapObject(t,function(t){return t.serialize()})}),childLayerIds:this.childLayers.map(function(t){return t.id})}},n.prototype.createFilter=function(){this.filter||(this.filter=s(this.layer.filter))};var d={lastIntegerZoom:1/0,lastIntegerZoomTime:0,lastZoom:0};n.prototype.recalculateStyleLayers=function(){for(var t=0;t<this.childLayers.length;t++)this.childLayers[t].recalculate(this.zoom,d)},n.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a=0;a<this.childLayers.length;a++)for(var o=this.childLayers[a],s=this.arrayGroups[t],l=n.index;l<s.length;l++){var u=s[l],c=u.layoutVertexArray.length,h=u.paintVertexArrays[o.id];h.resize(c);for(var f=this.paintAttributes[t][o.id].attributes,d=0;d<f.length;d++)for(var p=f[d],m=p.getValue(o,e,r),g=p.multiplier||1,v=p.components||1,y=l===n.index?i:0,b=y;b<c;b++)for(var x=h.get(b),_=0;_<v;_++){var w=v>1?p.name+_:p.name;x[w]=m[_]*g}}},n.VertexArrayType=function(t){return new h({members:t,alignment:4})},n.ElementArrayType=function(t){return new h({members:[{type:\"Uint16\",name:\"vertices\",components:t||3}]})}},{\"../util/struct_array\":422,\"../util/util\":424,\"./array_group\":310,\"./bucket/circle_bucket\":312,\"./bucket/fill_bucket\":313,\"./bucket/line_bucket\":314,\"./bucket/symbol_bucket\":315,\"./buffer_group\":317,assert:40,\"feature-filter\":117}],312:[function(t,e,r){\"use strict\";function n(){i.apply(this,arguments)}var i=t(\"../bucket\"),a=t(\"../../util/util\"),o=t(\"../load_geometry\"),s=i.EXTENT;e.exports=n,n.prototype=a.inherit(i,{}),n.prototype.addCircleVertex=function(t,e,r,n,i){return t.emplaceBack(2*e+(n+1)/2,2*r+(i+1)/2)},n.prototype.programInterfaces={circle:{layoutVertexArrayType:new i.VertexArrayType([{name:\"a_pos\",components:2,type:\"Int16\"}]),elementArrayType:new i.ElementArrayType,paintAttributes:[{name:\"a_color\",components:4,type:\"Uint8\",getValue:function(t,e,r){return t.getPaintValue(\"circle-color\",e,r)},multiplier:255,paintProperty:\"circle-color\"},{name:\"a_radius\",components:1,type:\"Uint16\",isLayerConstant:!1,getValue:function(t,e,r){return[t.getPaintValue(\"circle-radius\",e,r)]},multiplier:10,paintProperty:\"circle-radius\"},{name:\"a_blur\",components:1,type:\"Uint16\",isLayerConstant:!1,getValue:function(t,e,r){return[t.getPaintValue(\"circle-blur\",e,r)]},multiplier:10,paintProperty:\"circle-blur\"},{name:\"a_opacity\",components:1,type:\"Uint16\",isLayerConstant:!1,getValue:function(t,e,r){return[t.getPaintValue(\"circle-opacity\",e,r)]},multiplier:255,paintProperty:\"circle-opacity\"}]}},n.prototype.addFeature=function(t){for(var e={zoom:this.zoom},r=o(t),n=this.prepareArrayGroup(\"circle\",0),i=n.layoutVertexArray.length,a=0;a<r.length;a++)for(var l=0;l<r[a].length;l++){var u=r[a][l].x,c=r[a][l].y;if(!(u<0||u>=s||c<0||c>=s)){var h=this.prepareArrayGroup(\"circle\",4),f=h.layoutVertexArray,d=this.addCircleVertex(f,u,c,-1,-1);this.addCircleVertex(f,u,c,1,-1),this.addCircleVertex(f,u,c,1,1),this.addCircleVertex(f,u,c,-1,1),h.elementArray.emplaceBack(d,d+1,d+2),h.elementArray.emplaceBack(d,d+3,d+2)}}this.populatePaintArrays(\"circle\",e,t.properties,n,i)}},{\"../../util/util\":424,\"../bucket\":311,\"../load_geometry\":319}],313:[function(t,e,r){\"use strict\";function n(){i.apply(this,arguments)}var i=t(\"../bucket\"),a=t(\"../../util/util\"),o=t(\"../load_geometry\"),s=t(\"earcut\"),l=t(\"../../util/classify_rings\");e.exports=n,n.prototype=a.inherit(i,{}),n.prototype.programInterfaces={fill:{layoutVertexArrayType:new i.VertexArrayType([{name:\"a_pos\",components:2,type:\"Int16\"}]),elementArrayType:new i.ElementArrayType(1),elementArrayType2:new i.ElementArrayType(2),paintAttributes:[{name:\"a_color\",components:4,type:\"Uint8\",getValue:function(t,e,r){return t.getPaintValue(\"fill-color\",e,r)},multiplier:255,paintProperty:\"fill-color\"},{name:\"a_outline_color\",components:4,type:\"Uint8\",getValue:function(t,e,r){return t.getPaintValue(\"fill-outline-color\",e,r)},multiplier:255,paintProperty:\"fill-outline-color\"},{name:\"a_opacity\",components:1,type:\"Uint8\",getValue:function(t,e,r){return[t.getPaintValue(\"fill-opacity\",e,r)]},multiplier:255,paintProperty:\"fill-opacity\"}]}},n.prototype.addFeature=function(t){for(var e=o(t),r=l(e,500),n=this.prepareArrayGroup(\"fill\",0),i=n.layoutVertexArray.length,a=0;a<r.length;a++)this.addPolygon(r[a]);this.populatePaintArrays(\"fill\",{zoom:this.zoom},t.properties,n,i)},n.prototype.addPolygon=function(t){for(var e=0,r=0;r<t.length;r++)e+=t[r].length;for(var n=this.prepareArrayGroup(\"fill\",e),i=[],a=[],o=n.layoutVertexArray.length,l=0;l<t.length;l++){var u=t[l];l>0&&a.push(i.length/2);for(var c=0;c<u.length;c++){var h=u[c],f=n.layoutVertexArray.emplaceBack(h.x,h.y);c>=1&&n.elementArray2.emplaceBack(f-1,f),i.push(h.x),i.push(h.y)}}for(var d=s(i,a),p=0;p<d.length;p++)n.elementArray.emplaceBack(d[p]+o)}},{\"../../util/classify_rings\":412,\"../../util/util\":424,\"../bucket\":311,\"../load_geometry\":319,earcut:111}],314:[function(t,e,r){\"use strict\";function n(){i.apply(this,arguments)}var i=t(\"../bucket\"),a=t(\"../../util/util\"),o=t(\"../load_geometry\"),s=i.EXTENT,l=Math.cos(Math.PI/180*37.5),u=Math.pow(2,14)/.5;e.exports=n,n.prototype=a.inherit(i,{}),n.prototype.addLineVertex=function(t,e,r,n,i,a,o){return t.emplaceBack(e.x<<1|n,e.y<<1|i,Math.round(63*r.x)+128,Math.round(63*r.y)+128,1+(0===a?0:a<0?-1:1)|(.5*o&63)<<2,.5*o>>6)},n.prototype.programInterfaces={line:{layoutVertexArrayType:new i.VertexArrayType([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}]),elementArrayType:new i.ElementArrayType}},n.prototype.addFeature=function(t){for(var e=o(t,15),r=0;r<e.length;r++)this.addLine(e[r],this.layer.layout[\"line-join\"],this.layer.layout[\"line-cap\"],this.layer.layout[\"line-miter-limit\"],this.layer.layout[\"line-round-limit\"])},n.prototype.addLine=function(t,e,r,n,i){for(var a=t.length;a>2&&t[a-1].equals(t[a-2]);)a--;if(!(t.length<2)){\"bevel\"===e&&(n=1.05);var o=s/(512*this.overscaling)*15,u=t[0],c=t[a-1],h=u.equals(c);if(this.prepareArrayGroup(\"line\",10*a),2!==a||!h){this.distance=0;var f,d,p,m,g,v,y,b=r,x=h?\"butt\":r,_=!0;this.e1=this.e2=this.e3=-1,h&&(f=t[a-2],g=u.sub(f)._unit()._perp());for(var w=0;w<a;w++)if(!(p=h&&w===a-1?t[1]:t[w+1])||!t[w].equals(p)){g&&(m=g),f&&(d=f),f=t[w],g=p?p.sub(f)._unit()._perp():m,m=m||g;var M=m.add(g)._unit(),k=M.x*g.x+M.y*g.y,A=1/k,T=k<l&&d&&p;if(T&&w>0){var S=f.dist(d);if(S>2*o){var E=f.sub(f.sub(d)._mult(o/S)._round());this.distance+=E.dist(d),this.addCurrentVertex(E,this.distance,m.mult(1),0,0,!1),d=E}}var L=d&&p,C=L?e:p?b:x;if(L&&\"round\"===C&&(A<i?C=\"miter\":A<=2&&(C=\"fakeround\")),\"miter\"===C&&A>n&&(C=\"bevel\"),\"bevel\"===C&&(A>2&&(C=\"flipbevel\"),A<n&&(C=\"miter\")),d&&(this.distance+=f.dist(d)),\"miter\"===C)M._mult(A),this.addCurrentVertex(f,this.distance,M,0,0,!1);else if(\"flipbevel\"===C){if(A>100)M=g.clone();else{var z=m.x*g.y-m.y*g.x>0?-1:1,D=A*m.add(g).mag()/m.sub(g).mag();M._perp()._mult(D*z)}this.addCurrentVertex(f,this.distance,M,0,0,!1),this.addCurrentVertex(f,this.distance,M.mult(-1),0,0,!1)}else if(\"bevel\"===C||\"fakeround\"===C){var I=m.x*g.y-m.y*g.x>0,P=-Math.sqrt(A*A-1);if(I?(y=0,v=P):(v=0,y=P),_||this.addCurrentVertex(f,this.distance,m,v,y,!1),\"fakeround\"===C){for(var O,j=Math.floor(8*(.5-(k-.5))),R=0;R<j;R++)O=g.mult((R+1)/(j+1))._add(m)._unit(),this.addPieSliceVertex(f,this.distance,O,I);this.addPieSliceVertex(f,this.distance,M,I);for(var F=j-1;F>=0;F--)O=m.mult((F+1)/(j+1))._add(g)._unit(),this.addPieSliceVertex(f,this.distance,O,I)}p&&this.addCurrentVertex(f,this.distance,g,-v,-y,!1)}else\"butt\"===C?(_||this.addCurrentVertex(f,this.distance,m,0,0,!1),p&&this.addCurrentVertex(f,this.distance,g,0,0,!1)):\"square\"===C?(_||(this.addCurrentVertex(f,this.distance,m,1,1,!1),this.e1=this.e2=-1),p&&this.addCurrentVertex(f,this.distance,g,-1,-1,!1)):\"round\"===C&&(_||(this.addCurrentVertex(f,this.distance,m,0,0,!1),this.addCurrentVertex(f,this.distance,m,1,1,!0),this.e1=this.e2=-1),p&&(this.addCurrentVertex(f,this.distance,g,-1,-1,!0),this.addCurrentVertex(f,this.distance,g,0,0,!1)));if(T&&w<a-1){var N=f.dist(p);if(N>2*o){var B=f.add(p.sub(f)._mult(o/N)._round());this.distance+=B.dist(f),this.addCurrentVertex(B,this.distance,g.mult(1),0,0,!1),f=B}}_=!1}}}},n.prototype.addCurrentVertex=function(t,e,r,n,i,a){var o,s=a?1:0,l=this.arrayGroups.line[this.arrayGroups.line.length-1],c=l.layoutVertexArray,h=l.elementArray;o=r.clone(),n&&o._sub(r.perp()._mult(n)),this.e3=this.addLineVertex(c,t,o,s,0,n,e),this.e1>=0&&this.e2>=0&&h.emplaceBack(this.e1,this.e2,this.e3),this.e1=this.e2,this.e2=this.e3,o=r.mult(-1),i&&o._sub(r.perp()._mult(i)),this.e3=this.addLineVertex(c,t,o,s,1,-i,e),this.e1>=0&&this.e2>=0&&h.emplaceBack(this.e1,this.e2,this.e3),this.e1=this.e2,this.e2=this.e3,e>u/2&&(this.distance=0,this.addCurrentVertex(t,this.distance,r,n,i,a))},n.prototype.addPieSliceVertex=function(t,e,r,n){var i=n?1:0;r=r.mult(n?-1:1);var a=this.arrayGroups.line[this.arrayGroups.line.length-1],o=a.layoutVertexArray,s=a.elementArray;this.e3=this.addLineVertex(o,t,r,0,i,0,e),this.e1>=0&&this.e2>=0&&s.emplaceBack(this.e1,this.e2,this.e3),n?this.e2=this.e3:this.e1=this.e3}},{\"../../util/util\":424,\"../bucket\":311,\"../load_geometry\":319}],315:[function(t,e,r){\"use strict\";function n(t){o.apply(this,arguments),this.showCollisionBoxes=t.showCollisionBoxes,this.overscaling=t.overscaling,this.collisionBoxArray=t.collisionBoxArray,this.symbolQuadsArray=t.symbolQuadsArray,this.symbolInstancesArray=t.symbolInstancesArray,this.sdfIcons=t.sdfIcons,this.iconsNeedLinear=t.iconsNeedLinear,this.adjustedTextSize=t.adjustedTextSize,this.adjustedIconSize=t.adjustedIconSize,this.fontstack=t.fontstack}function i(t,e,r,n,i,a,o,s,l,u,c){return t.emplaceBack(e,r,Math.round(64*n),Math.round(64*i),a/4,o/4,10*(u||0),c,10*(s||0),10*Math.min(l||25,25))}var a=t(\"point-geometry\"),o=t(\"../bucket\"),s=t(\"../../symbol/anchor\"),l=t(\"../../symbol/get_anchors\"),u=t(\"../../util/token\"),c=t(\"../../symbol/quads\"),h=t(\"../../symbol/shaping\"),f=t(\"../../symbol/resolve_text\"),d=t(\"../../symbol/mergelines\"),p=t(\"../../symbol/clip_line\"),m=t(\"../../util/util\"),g=t(\"../load_geometry\"),v=t(\"../../symbol/collision_feature\"),y=h.shapeText,b=h.shapeIcon,x=c.getGlyphQuads,_=c.getIconQuads,w=o.EXTENT;e.exports=n,n.MAX_QUADS=65535,n.prototype=m.inherit(o,{}),n.prototype.serialize=function(){var t=o.prototype.serialize.apply(this);return t.sdfIcons=this.sdfIcons,t.iconsNeedLinear=this.iconsNeedLinear,t.adjustedTextSize=this.adjustedTextSize,t.adjustedIconSize=this.adjustedIconSize,t.fontstack=this.fontstack,t};var M=new o.VertexArrayType([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_offset\",components:2,type:\"Int16\"},{name:\"a_texture_pos\",components:2,type:\"Uint16\"},{name:\"a_data\",components:4,type:\"Uint8\"}]),k=new o.ElementArrayType;n.prototype.addCollisionBoxVertex=function(t,e,r,n,i){return t.emplaceBack(e.x,e.y,Math.round(r.x),Math.round(r.y),10*n,10*i)},n.prototype.programInterfaces={glyph:{layoutVertexArrayType:M,elementArrayType:k},icon:{layoutVertexArrayType:M,elementArrayType:k},collisionBox:{layoutVertexArrayType:new o.VertexArrayType([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_extrude\",components:2,type:\"Int16\"},{name:\"a_data\",components:2,type:\"Uint8\"}])}},n.prototype.populateArrays=function(t,e,r){var n={lastIntegerZoom:1/0,lastIntegerZoomTime:0,lastZoom:0};this.adjustedTextMaxSize=this.layer.getLayoutValue(\"text-size\",{zoom:18,zoomHistory:n}),this.adjustedTextSize=this.layer.getLayoutValue(\"text-size\",{zoom:this.zoom+1,zoomHistory:n}),this.adjustedIconMaxSize=this.layer.getLayoutValue(\"icon-size\",{zoom:18,zoomHistory:n}),this.adjustedIconSize=this.layer.getLayoutValue(\"icon-size\",{zoom:this.zoom+1,zoomHistory:n});var i=512*this.overscaling;this.tilePixelRatio=w/i,this.compareText={},this.iconsNeedLinear=!1,this.symbolInstancesStartIndex=this.symbolInstancesArray.length;var a=this.layer.layout,o=this.features,s=this.textFeatures,l=.5,c=.5;switch(a[\"text-anchor\"]){case\"right\":case\"top-right\":case\"bottom-right\":l=1;break;case\"left\":case\"top-left\":case\"bottom-left\":l=0}switch(a[\"text-anchor\"]){case\"bottom\":case\"bottom-right\":case\"bottom-left\":c=1;break;case\"top\":case\"top-right\":case\"top-left\":c=0}for(var h=\"right\"===a[\"text-justify\"]?1:\"left\"===a[\"text-justify\"]?0:.5,f=24*a[\"text-line-height\"],p=\"line\"!==a[\"symbol-placement\"]?24*a[\"text-max-width\"]:0,v=24*a[\"text-letter-spacing\"],x=[24*a[\"text-offset\"][0],24*a[\"text-offset\"][1]],_=this.fontstack=a[\"text-font\"].join(\",\"),M=[],k=0;k<o.length;k++)M.push(g(o[k]));if(\"line\"===a[\"symbol-placement\"]){var A=d(o,s,M);M=A.geometries,o=A.features,s=A.textFeatures}for(var T,S,E=0;E<o.length;E++)if(M[E]){if(T=s[E]?y(s[E],e[_],p,f,l,c,h,v,x):null,a[\"icon-image\"]){var L=u(o[E].properties,a[\"icon-image\"]),C=r[L];S=b(C,a),C&&(void 0===this.sdfIcons?this.sdfIcons=C.sdf:this.sdfIcons!==C.sdf&&m.warnOnce(\"Style sheet warning: Cannot mix SDF and non-SDF icons in one buffer\"),1!==C.pixelRatio?this.iconsNeedLinear=!0:0===a[\"icon-rotate\"]&&this.layer.isLayoutValueFeatureConstant(\"icon-rotate\")||(this.iconsNeedLinear=!0))}else S=null;(T||S)&&this.addFeature(M[E],T,S,o[E])}this.symbolInstancesEndIndex=this.symbolInstancesArray.length,this.placeFeatures(t,this.showCollisionBoxes),this.trimArrays()},n.prototype.addFeature=function(t,e,r,n){\n",
       "var i=this.layer.layout,a=this.adjustedTextSize/24,o=void 0!==this.adjustedTextMaxSize?this.adjustedTextMaxSize:this.adjustedTextSize,u=this.tilePixelRatio*a,c=this.tilePixelRatio*o/24,h=this.tilePixelRatio*this.adjustedIconSize,f=this.tilePixelRatio*i[\"symbol-spacing\"],d=i[\"symbol-avoid-edges\"],m=i[\"text-padding\"]*this.tilePixelRatio,g=i[\"icon-padding\"]*this.tilePixelRatio,v=i[\"text-max-angle\"]/180*Math.PI,y=\"map\"===i[\"text-rotation-alignment\"]&&\"line\"===i[\"symbol-placement\"],b=\"map\"===i[\"icon-rotation-alignment\"]&&\"line\"===i[\"symbol-placement\"],x=i[\"text-allow-overlap\"]||i[\"icon-allow-overlap\"]||i[\"text-ignore-placement\"]||i[\"icon-ignore-placement\"],_=\"line\"===i[\"symbol-placement\"],M=f/2;_&&(t=p(t,0,0,w,w));for(var k=0;k<t.length;k++){var A,T=t[k];A=_?l(T,f,v,e,r,24,c,this.overscaling,w):[new s(T[0].x,T[0].y,0)];for(var S=0,E=A.length;S<E;S++){var L=A[S];if(!(e&&_&&this.anchorIsTooClose(e.text,M,L))){var C=!(L.x<0||L.x>w||L.y<0||L.y>w);if(!d||C){var z=C||x;this.addSymbolInstance(L,T,e,r,this.layer,z,this.symbolInstancesArray.length,this.collisionBoxArray,n.index,this.sourceLayerIndex,this.index,u,m,y,h,g,b,{zoom:this.zoom},n.properties)}}}}},n.prototype.anchorIsTooClose=function(t,e,r){var n=this.compareText;if(t in n){for(var i=n[t],a=i.length-1;a>=0;a--)if(r.dist(i[a])<e)return!0}else n[t]=[];return n[t].push(r),!1},n.prototype.placeFeatures=function(t,e){this.recalculateStyleLayers(),this.createArrays();var r=this.layer.layout,n=t.maxScale,i=\"map\"===r[\"text-rotation-alignment\"]&&\"line\"===r[\"symbol-placement\"],a=\"map\"===r[\"icon-rotation-alignment\"]&&\"line\"===r[\"symbol-placement\"];if(r[\"text-allow-overlap\"]||r[\"icon-allow-overlap\"]||r[\"text-ignore-placement\"]||r[\"icon-ignore-placement\"]){var o=this.symbolInstancesArray.toArray(this.symbolInstancesStartIndex,this.symbolInstancesEndIndex),s=t.angle,l=Math.sin(s),u=Math.cos(s);this.sortedSymbolInstances=o.sort(function(t,e){return(l*t.anchorPointX+u*t.anchorPointY|0)-(l*e.anchorPointX+u*e.anchorPointY|0)||e.index-t.index})}for(var c=this.symbolInstancesStartIndex;c<this.symbolInstancesEndIndex;c++){var h=this.sortedSymbolInstances?this.sortedSymbolInstances[c-this.symbolInstancesStartIndex]:this.symbolInstancesArray.get(c),f={boxStartIndex:h.textBoxStartIndex,boxEndIndex:h.textBoxEndIndex},d={boxStartIndex:h.iconBoxStartIndex,boxEndIndex:h.iconBoxEndIndex},p=!(h.textBoxStartIndex===h.textBoxEndIndex),m=!(h.iconBoxStartIndex===h.iconBoxEndIndex),g=r[\"text-optional\"]||!p,v=r[\"icon-optional\"]||!m,y=p?t.placeCollisionFeature(f,r[\"text-allow-overlap\"],r[\"symbol-avoid-edges\"]):t.minScale,b=m?t.placeCollisionFeature(d,r[\"icon-allow-overlap\"],r[\"symbol-avoid-edges\"]):t.minScale;g||v?!v&&y?y=Math.max(b,y):!g&&b&&(b=Math.max(b,y)):b=y=Math.max(b,y),p&&(t.insertCollisionFeature(f,y,r[\"text-ignore-placement\"]),y<=n&&this.addSymbols(\"glyph\",h.glyphQuadStartIndex,h.glyphQuadEndIndex,y,r[\"text-keep-upright\"],i,t.angle)),m&&(t.insertCollisionFeature(d,b,r[\"icon-ignore-placement\"]),b<=n&&this.addSymbols(\"icon\",h.iconQuadStartIndex,h.iconQuadEndIndex,b,r[\"icon-keep-upright\"],a,t.angle))}e&&this.addToDebugBuffers(t)},n.prototype.addSymbols=function(t,e,r,n,a,o,s){for(var l=this.prepareArrayGroup(t,4*(r-e)),u=l.elementArray,c=l.layoutVertexArray,h=this.zoom,f=Math.max(Math.log(n)/Math.LN2+h,0),d=e;d<r;d++){var p=this.symbolQuadsArray.get(d).SymbolQuad,m=(p.anchorAngle+s+Math.PI)%(2*Math.PI);if(!(a&&o&&(m<=Math.PI/2||m>3*Math.PI/2))){var g=p.tl,v=p.tr,y=p.bl,b=p.br,x=p.tex,_=p.anchorPoint,w=Math.max(h+Math.log(p.minScale)/Math.LN2,f),M=Math.min(h+Math.log(p.maxScale)/Math.LN2,25);if(!(M<=w)){w===f&&(w=0);var k=Math.round(p.glyphAngle/(2*Math.PI)*256),A=i(c,_.x,_.y,g.x,g.y,x.x,x.y,w,M,f,k);i(c,_.x,_.y,v.x,v.y,x.x+x.w,x.y,w,M,f,k),i(c,_.x,_.y,y.x,y.y,x.x,x.y+x.h,w,M,f,k),i(c,_.x,_.y,b.x,b.y,x.x+x.w,x.y+x.h,w,M,f,k),u.emplaceBack(A,A+1,A+2),u.emplaceBack(A+1,A+2,A+3)}}}},n.prototype.updateIcons=function(t){this.recalculateStyleLayers();var e=this.layer.layout[\"icon-image\"];if(e)for(var r=0;r<this.features.length;r++){var n=u(this.features[r].properties,e);n&&(t[n]=!0)}},n.prototype.updateFont=function(t){this.recalculateStyleLayers();var e=this.layer.layout[\"text-font\"],r=t[e]=t[e]||{};this.textFeatures=f(this.features,this.layer.layout,r)},n.prototype.addToDebugBuffers=function(t){for(var e=this.prepareArrayGroup(\"collisionBox\",0),r=e.layoutVertexArray,n=-t.angle,i=t.yStretch,o=this.symbolInstancesStartIndex;o<this.symbolInstancesEndIndex;o++){var s=this.symbolInstancesArray.get(o);s.textCollisionFeature={boxStartIndex:s.textBoxStartIndex,boxEndIndex:s.textBoxEndIndex},s.iconCollisionFeature={boxStartIndex:s.iconBoxStartIndex,boxEndIndex:s.iconBoxEndIndex};for(var l=0;l<2;l++){var u=s[0===l?\"textCollisionFeature\":\"iconCollisionFeature\"];if(u)for(var c=u.boxStartIndex;c<u.boxEndIndex;c++){var h=this.collisionBoxArray.get(c),f=h.anchorPoint,d=new a(h.x1,h.y1*i)._rotate(n),p=new a(h.x2,h.y1*i)._rotate(n),m=new a(h.x1,h.y2*i)._rotate(n),g=new a(h.x2,h.y2*i)._rotate(n),v=Math.max(0,Math.min(25,this.zoom+Math.log(h.maxScale)/Math.LN2)),y=Math.max(0,Math.min(25,this.zoom+Math.log(h.placementScale)/Math.LN2));this.addCollisionBoxVertex(r,f,d,v,y),this.addCollisionBoxVertex(r,f,p,v,y),this.addCollisionBoxVertex(r,f,p,v,y),this.addCollisionBoxVertex(r,f,g,v,y),this.addCollisionBoxVertex(r,f,g,v,y),this.addCollisionBoxVertex(r,f,m,v,y),this.addCollisionBoxVertex(r,f,m,v,y),this.addCollisionBoxVertex(r,f,d,v,y)}}}},n.prototype.addSymbolInstance=function(t,e,r,i,a,o,s,l,u,c,h,f,d,p,g,y,b,w,M){var k,A,T,S,E,L,C,z;if(r&&(C=o?x(t,r,f,e,a,p):[],E=new v(l,e,t,u,c,h,r,f,d,p,!1)),k=this.symbolQuadsArray.length,C&&C.length)for(var D=0;D<C.length;D++)this.addSymbolQuad(C[D]);A=this.symbolQuadsArray.length;var I=E?E.boxStartIndex:this.collisionBoxArray.length,P=E?E.boxEndIndex:this.collisionBoxArray.length;i&&(z=o?_(t,i,g,e,a,b,r,w,M):[],L=new v(l,e,t,u,c,h,i,g,y,b,!0)),T=this.symbolQuadsArray.length,z&&1===z.length&&this.addSymbolQuad(z[0]),S=this.symbolQuadsArray.length;var O=L?L.boxStartIndex:this.collisionBoxArray.length,j=L?L.boxEndIndex:this.collisionBoxArray.length;return S>n.MAX_QUADS&&m.warnOnce(\"Too many symbols being rendered in a tile. See https://github.com/mapbox/mapbox-gl-js/issues/2907\"),A>n.MAX_QUADS&&m.warnOnce(\"Too many glyphs being rendered in a tile. See https://github.com/mapbox/mapbox-gl-js/issues/2907\"),this.symbolInstancesArray.emplaceBack(I,P,O,j,k,A,T,S,t.x,t.y,s)},n.prototype.addSymbolQuad=function(t){return this.symbolQuadsArray.emplaceBack(t.anchorPoint.x,t.anchorPoint.y,t.tl.x,t.tl.y,t.tr.x,t.tr.y,t.bl.x,t.bl.y,t.br.x,t.br.y,t.tex.h,t.tex.w,t.tex.x,t.tex.y,t.anchorAngle,t.glyphAngle,t.maxScale,t.minScale)}},{\"../../symbol/anchor\":373,\"../../symbol/clip_line\":375,\"../../symbol/collision_feature\":377,\"../../symbol/get_anchors\":379,\"../../symbol/mergelines\":382,\"../../symbol/quads\":383,\"../../symbol/resolve_text\":384,\"../../symbol/shaping\":385,\"../../util/token\":423,\"../../util/util\":424,\"../bucket\":311,\"../load_geometry\":319,\"point-geometry\":465}],316:[function(t,e,r){\"use strict\";function n(t,e,r){this.arrayBuffer=t.arrayBuffer,this.length=t.length,this.attributes=e.members,this.itemSize=e.bytesPerElement,this.type=r,this.arrayType=e}e.exports=n,n.prototype.bind=function(t){var e=t[this.type];this.buffer?t.bindBuffer(e,this.buffer):(this.buffer=t.createBuffer(),t.bindBuffer(e,this.buffer),t.bufferData(e,this.arrayBuffer,t.STATIC_DRAW),this.arrayBuffer=null)};var i={Int8:\"BYTE\",Uint8:\"UNSIGNED_BYTE\",Int16:\"SHORT\",Uint16:\"UNSIGNED_SHORT\"};n.prototype.setVertexAttribPointers=function(t,e){for(var r=0;r<this.attributes.length;r++){var n=this.attributes[r],a=e[n.name];void 0!==a&&t.vertexAttribPointer(a,n.components,t[i[n.type]],!1,this.arrayType.bytesPerElement,n.offset)}},n.prototype.destroy=function(t){this.buffer&&t.deleteBuffer(this.buffer)},n.BufferType={VERTEX:\"ARRAY_BUFFER\",ELEMENT:\"ELEMENT_ARRAY_BUFFER\"}},{}],317:[function(t,e,r){\"use strict\";function n(t,e){this.layoutVertexBuffer=new a(t.layoutVertexArray,e.layoutVertexArrayType,a.BufferType.VERTEX),t.elementArray&&(this.elementBuffer=new a(t.elementArray,e.elementArrayType,a.BufferType.ELEMENT));var r,n=this.vaos={};t.elementArray2&&(this.elementBuffer2=new a(t.elementArray2,e.elementArrayType2,a.BufferType.ELEMENT),r=this.secondVaos={}),this.paintVertexBuffers=i.mapObject(t.paintVertexArrays,function(i,s){return n[s]=new o,t.elementArray2&&(r[s]=new o),new a(i,e.paintVertexArrayTypes[s],a.BufferType.VERTEX)})}var i=t(\"../util/util\"),a=t(\"./buffer\"),o=t(\"../render/vertex_array_object\");e.exports=n,n.prototype.destroy=function(t){this.layoutVertexBuffer.destroy(t),this.elementBuffer&&this.elementBuffer.destroy(t),this.elementBuffer2&&this.elementBuffer2.destroy(t);for(var e in this.paintVertexBuffers)this.paintVertexBuffers[e].destroy(t);for(var r in this.vaos)this.vaos[r].destroy(t);for(var n in this.secondVaos)this.secondVaos[n].destroy(t)}},{\"../render/vertex_array_object\":339,\"../util/util\":424,\"./buffer\":316}],318:[function(t,e,r){\"use strict\";function n(t,e,r){if(t.grid){var n=t,i=e;t=n.coord,e=n.overscaling,this.grid=new p(n.grid),this.featureIndexArray=new k(n.featureIndexArray),this.rawTileData=i,this.bucketLayerIDs=n.bucketLayerIDs}else this.grid=new p(h,16,0),this.featureIndexArray=new k;this.coord=t,this.overscaling=e,this.x=t.x,this.y=t.y,this.z=t.z-Math.log(e)/Math.LN2,this.setCollisionTile(r)}function i(t){return Math.sqrt(t[0]*t[0]+t[1]*t[1])}function a(t,e){return e-t}function o(t){return t[\"line-gap-width\"]>0?t[\"line-gap-width\"]+2*t[\"line-width\"]:t[\"line-width\"]}function s(t,e,r,n,i){if(!e[0]&&!e[1])return t;e=u.convert(e),\"viewport\"===r&&e._rotate(-n);for(var a=[],o=0;o<t.length;o++){for(var s=t[o],l=[],c=0;c<s.length;c++)l.push(s[c].sub(e._mult(i)));a.push(l)}return a}function l(t,e){for(var r=[],n=new u(0,0),i=0;i<t.length;i++){for(var a=t[i],o=[],s=0;s<a.length;s++){var l=a[s-1],c=a[s],h=a[s+1],f=0===s?n:c.sub(l)._unit()._perp(),d=s===a.length-1?n:h.sub(c)._unit()._perp(),p=f._add(d)._unit(),m=p.x*d.x+p.y*d.y;p._mult(1/m),o.push(p._mult(e)._add(c))}r.push(o)}return r}var u=t(\"point-geometry\"),c=t(\"./load_geometry\"),h=t(\"./bucket\").EXTENT,f=t(\"feature-filter\"),d=t(\"../util/struct_array\"),p=t(\"grid-index\"),m=t(\"../util/dictionary_coder\"),g=t(\"vector-tile\"),v=t(\"pbf\"),y=t(\"../util/vectortile_to_geojson\"),b=t(\"../util/util\").arraysIntersect,x=t(\"../util/intersection_tests\"),_=x.multiPolygonIntersectsBufferedMultiPoint,w=x.multiPolygonIntersectsMultiPolygon,M=x.multiPolygonIntersectsBufferedMultiLine,k=new d({members:[{type:\"Uint32\",name:\"featureIndex\"},{type:\"Uint16\",name:\"sourceLayerIndex\"},{type:\"Uint16\",name:\"bucketIndex\"}]});e.exports=n,n.prototype.insert=function(t,e,r,n){var i=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(e,r,n);for(var a=c(t),o=0;o<a.length;o++){for(var s=a[o],l=[1/0,1/0,-1/0,-1/0],u=0;u<s.length;u++){var h=s[u];l[0]=Math.min(l[0],h.x),l[1]=Math.min(l[1],h.y),l[2]=Math.max(l[2],h.x),l[3]=Math.max(l[3],h.y)}this.grid.insert(i,l[0],l[1],l[2],l[3])}},n.prototype.setCollisionTile=function(t){this.collisionTile=t},n.prototype.serialize=function(){var t={coord:this.coord,overscaling:this.overscaling,grid:this.grid.toArrayBuffer(),featureIndexArray:this.featureIndexArray.serialize(),bucketLayerIDs:this.bucketLayerIDs};return{data:t,transferables:[t.grid,t.featureIndexArray.arrayBuffer]}},n.prototype.query=function(t,e){this.vtLayers||(this.vtLayers=new g.VectorTile(new v(new Uint8Array(this.rawTileData))).layers,this.sourceLayerCoder=new m(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"]));var r={},n=t.params||{},s=h/t.tileSize/t.scale,l=f(n.filter),c=0;for(var d in e){var p=e[d],y=p.paint,b=0;\"line\"===p.type?b=o(y)/2+Math.abs(y[\"line-offset\"])+i(y[\"line-translate\"]):\"fill\"===p.type?b=i(y[\"fill-translate\"]):\"circle\"===p.type&&(b=y[\"circle-radius\"]+i(y[\"circle-translate\"])),c=Math.max(c,b*s)}for(var x=t.queryGeometry.map(function(t){return t.map(function(t){return new u(t.x,t.y)})}),_=1/0,w=1/0,M=-1/0,k=-1/0,A=0;A<x.length;A++)for(var T=x[A],S=0;S<T.length;S++){var E=T[S];_=Math.min(_,E.x),w=Math.min(w,E.y),M=Math.max(M,E.x),k=Math.max(k,E.y)}var L=this.grid.query(_-c,w-c,M+c,k+c);L.sort(a),this.filterMatching(r,L,this.featureIndexArray,x,l,n.layers,e,t.bearing,s);var C=this.collisionTile.queryRenderedSymbols(_,w,M,k,t.scale);return C.sort(),this.filterMatching(r,C,this.collisionTile.collisionBoxArray,x,l,n.layers,e,t.bearing,s),r},n.prototype.filterMatching=function(t,e,r,n,i,a,u,h,f){for(var d,p=0;p<e.length;p++){var m=e[p];if(m!==d){d=m;var g=r.get(m),v=this.bucketLayerIDs[g.bucketIndex];if(!a||b(a,v)){var x=this.sourceLayerCoder.decode(g.sourceLayerIndex),k=this.vtLayers[x],A=k.feature(g.featureIndex);if(i(A))for(var T=null,S=0;S<v.length;S++){var E=v[S];if(!(a&&a.indexOf(E)<0)){var L=u[E];if(L){var C;if(\"symbol\"!==L.type){T||(T=c(A));var z=L.paint;if(\"line\"===L.type){C=s(n,z[\"line-translate\"],z[\"line-translate-anchor\"],h,f);var D=o(z)/2*f;if(z[\"line-offset\"]&&(T=l(T,z[\"line-offset\"]*f)),!M(C,T,D))continue}else if(\"fill\"===L.type){if(C=s(n,z[\"fill-translate\"],z[\"fill-translate-anchor\"],h,f),!w(C,T))continue}else if(\"circle\"===L.type){C=s(n,z[\"circle-translate\"],z[\"circle-translate-anchor\"],h,f);var I=z[\"circle-radius\"]*f;if(!_(C,T,I))continue}}var P=new y(A,this.z,this.x,this.y);P.layer=L.serialize({includeRefProperties:!0});var O=t[E];void 0===O&&(O=t[E]=[]),O.push(P)}}}}}}}},{\"../util/dictionary_coder\":414,\"../util/intersection_tests\":419,\"../util/struct_array\":422,\"../util/util\":424,\"../util/vectortile_to_geojson\":425,\"./bucket\":311,\"./load_geometry\":319,\"feature-filter\":117,\"grid-index\":271,pbf:459,\"point-geometry\":465,\"vector-tile\":530}],319:[function(t,e,r){\"use strict\";function n(t){return{min:-1*Math.pow(2,t-1),max:Math.pow(2,t-1)-1}}var i=t(\"../util/util\"),a=t(\"./bucket\").EXTENT,o=t(\"assert\"),s={15:n(15),16:n(16)};e.exports=function(t,e){var r=s[e||16];o(r);for(var n=a/t.extent,l=t.loadGeometry(),u=0;u<l.length;u++)for(var c=l[u],h=0;h<c.length;h++){var f=c[h];f.x=Math.round(f.x*n),f.y=Math.round(f.y*n),(f.x<r.min||f.x>r.max||f.y<r.min||f.y>r.max)&&i.warnOnce(\"Geometry exceeds allowed extent, reduce your vector tile buffer size\")}return l}},{\"../util/util\":424,\"./bucket\":311,assert:40}],320:[function(t,e,r){\"use strict\";function n(t,e,r){this.column=t,this.row=e,this.zoom=r}e.exports=n,n.prototype={clone:function(){return new n(this.column,this.row,this.zoom)},zoomTo:function(t){return this.clone()._zoomTo(t)},sub:function(t){return this.clone()._sub(t)},_zoomTo:function(t){var e=Math.pow(2,t-this.zoom);return this.column*=e,this.row*=e,this.zoom=t,this},_sub:function(t){return t=t.zoomTo(this.zoom),this.column-=t.column,this.row-=t.row,this}}},{}],321:[function(t,e,r){\"use strict\";function n(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")}e.exports=n;var i=t(\"../util/util\").wrap;n.prototype.wrap=function(){return new n(i(this.lng,-180,180),this.lat)},n.prototype.toArray=function(){return[this.lng,this.lat]},n.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},n.convert=function(t){return t instanceof n?t:Array.isArray(t)?new n(t[0],t[1]):t}},{\"../util/util\":424}],322:[function(t,e,r){\"use strict\";function n(t,e){t&&(e?this.extend(t).extend(e):4===t.length?this.extend([t[0],t[1]]).extend([t[2],t[3]]):this.extend(t[0]).extend(t[1]))}e.exports=n;var i=t(\"./lng_lat\");n.prototype={extend:function(t){var e,r,a=this._sw,o=this._ne;if(t instanceof i)e=t,r=t;else{if(!(t instanceof n))return t?this.extend(i.convert(t)||n.convert(t)):this;if(e=t._sw,r=t._ne,!e||!r)return this}return a||o?(a.lng=Math.min(e.lng,a.lng),a.lat=Math.min(e.lat,a.lat),o.lng=Math.max(r.lng,o.lng),o.lat=Math.max(r.lat,o.lat)):(this._sw=new i(e.lng,e.lat),this._ne=new i(r.lng,r.lat)),this},getCenter:function(){return new i((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},getSouthWest:function(){return this._sw},getNorthEast:function(){return this._ne},getNorthWest:function(){return new i(this.getWest(),this.getNorth())},getSouthEast:function(){return new i(this.getEast(),this.getSouth())},getWest:function(){return this._sw.lng},getSouth:function(){return this._sw.lat},getEast:function(){return this._ne.lng},getNorth:function(){return this._ne.lat},toArray:function(){return[this._sw.toArray(),this._ne.toArray()]},toString:function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"}},n.convert=function(t){return!t||t instanceof n?t:new n(t)}},{\"./lng_lat\":321}],323:[function(t,e,r){\"use strict\";function n(t,e){this.tileSize=512,this._minZoom=t||0,this._maxZoom=e||22,this.latRange=[-85.05113,85.05113],this.width=0,this.height=0,this._center=new i(0,0),this.zoom=0,this.angle=0,this._altitude=1.5,this._pitch=0,this._unmodified=!0}var i=t(\"./lng_lat\"),a=t(\"point-geometry\"),o=t(\"./coordinate\"),s=t(\"../util/util\").wrap,l=t(\"../util/interpolate\"),u=t(\"../source/tile_coord\"),c=t(\"../data/bucket\").EXTENT,h=t(\"gl-matrix\"),f=h.vec4,d=h.mat4,p=h.mat2;e.exports=n,n.prototype={get minZoom(){return this._minZoom},set minZoom(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},get maxZoom(){return this._maxZoom},set maxZoom(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},get worldSize(){return this.tileSize*this.scale},get centerPoint(){return this.size._div(2)},get size(){return new a(this.width,this.height)},get bearing(){return-this.angle/Math.PI*180},set bearing(t){var e=-s(t,-180,180)*Math.PI/180;this.angle!==e&&(this._unmodified=!1,this.angle=e,this._calcMatrices(),this.rotationMatrix=p.create(),p.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},get pitch(){return this._pitch/Math.PI*180},set pitch(t){var e=Math.min(60,t)/180*Math.PI;this._pitch!==e&&(this._unmodified=!1,this._pitch=e,this._calcMatrices())},get altitude(){return this._altitude},set altitude(t){var e=Math.max(.75,t);this._altitude!==e&&(this._unmodified=!1,this._altitude=e,this._calcMatrices())},get zoom(){return this._zoom},set zoom(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._calcMatrices(),this._constrain())},get center(){return this._center},set center(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._calcMatrices(),this._constrain())},coveringZoomLevel:function(t){return(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize))},coveringTiles:function(t){var e=this.coveringZoomLevel(t),r=e;if(e<t.minzoom)return[];e>t.maxzoom&&(e=t.maxzoom);var n=this,i=n.locationCoordinate(n.center)._zoomTo(e),o=new a(i.column-.5,i.row-.5);return u.cover(e,[n.pointCoordinate(new a(0,0))._zoomTo(e),n.pointCoordinate(new a(n.width,0))._zoomTo(e),n.pointCoordinate(new a(n.width,n.height))._zoomTo(e),n.pointCoordinate(new a(0,n.height))._zoomTo(e)],t.reparseOverscaled?r:e).sort(function(t,e){return o.dist(t)-o.dist(e)})},resize:function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._calcMatrices(),this._constrain()},get unmodified(){return this._unmodified},zoomScale:function(t){return Math.pow(2,t)},scaleZoom:function(t){return Math.log(t)/Math.LN2},project:function(t,e){return new a(this.lngX(t.lng,e),this.latY(t.lat,e))},unproject:function(t,e){return new i(this.xLng(t.x,e),this.yLat(t.y,e))},get x(){return this.lngX(this.center.lng)},get y(){return this.latY(this.center.lat)},get point(){return new a(this.x,this.y)},lngX:function(t,e){return(180+t)*(e||this.worldSize)/360},latY:function(t,e){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))*(e||this.worldSize)/360},xLng:function(t,e){return 360*t/(e||this.worldSize)-180},yLat:function(t,e){var r=180-360*t/(e||this.worldSize);return 360/Math.PI*Math.atan(Math.exp(r*Math.PI/180))-90},panBy:function(t){var e=this.centerPoint._add(t);this.center=this.pointLocation(e)},setLocationAtPoint:function(t,e){var r=this.locationCoordinate(t),n=this.pointCoordinate(e),i=this.pointCoordinate(this.centerPoint),a=n._sub(r);this._unmodified=!1,this.center=this.coordinateLocation(i._sub(a))},locationPoint:function(t){return this.coordinatePoint(this.locationCoordinate(t))},pointLocation:function(t){return this.coordinateLocation(this.pointCoordinate(t))},locationCoordinate:function(t){var e=this.zoomScale(this.tileZoom)/this.worldSize,r=i.convert(t);return new o(this.lngX(r.lng)*e,this.latY(r.lat)*e,this.tileZoom)},coordinateLocation:function(t){var e=this.zoomScale(t.zoom);return new i(this.xLng(t.column,e),this.yLat(t.row,e))},pointCoordinate:function(t){var e=[t.x,t.y,0,1],r=[t.x,t.y,1,1];f.transformMat4(e,e,this.pixelMatrixInverse),f.transformMat4(r,r,this.pixelMatrixInverse);var n=e[3],i=r[3],a=e[0]/n,s=r[0]/i,u=e[1]/n,c=r[1]/i,h=e[2]/n,d=r[2]/i,p=h===d?0:(0-h)/(d-h),m=this.worldSize/this.zoomScale(this.tileZoom);return new o(l(a,s,p)/m,l(u,c,p)/m,this.tileZoom)},coordinatePoint:function(t){var e=this.worldSize/this.zoomScale(t.zoom),r=[t.column*e,t.row*e,0,1];return f.transformMat4(r,r,this.pixelMatrix),new a(r[0]/r[3],r[1]/r[3])},calculatePosMatrix:function(t,e){void 0===e&&(e=1/0),t instanceof u&&(t=t.toCoordinate(e));var r=Math.min(t.zoom,e),n=this.worldSize/Math.pow(2,r),i=new Float64Array(16);return d.identity(i),d.translate(i,i,[t.column*n,t.row*n,0]),d.scale(i,i,[n/c,n/c,1]),d.multiply(i,this.projMatrix,i),new Float32Array(i)},_constrain:function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var t,e,r,n,i,o,s,l,u=this.size,c=this._unmodified;this.latRange&&(t=this.latY(this.latRange[1]),e=this.latY(this.latRange[0]),i=e-t<u.y?u.y/(e-t):0),this.lngRange&&(r=this.lngX(this.lngRange[0]),n=this.lngX(this.lngRange[1]),o=n-r<u.x?u.x/(n-r):0);var h=Math.max(o||0,i||0);if(h)return this.center=this.unproject(new a(o?(n+r)/2:this.x,i?(e+t)/2:this.y)),this.zoom+=this.scaleZoom(h),this._unmodified=c,void(this._constraining=!1);if(this.latRange){var f=this.y,d=u.y/2;f-d<t&&(l=t+d),f+d>e&&(l=e-d)}if(this.lngRange){var p=this.x,m=u.x/2;p-m<r&&(s=r+m),p+m>n&&(s=n-m)}void 0===s&&void 0===l||(this.center=this.unproject(new a(void 0!==s?s:this.x,void 0!==l?l:this.y))),this._unmodified=c,this._constraining=!1}},_calcMatrices:function(){if(this.height){var t=Math.atan(.5/this.altitude),e=Math.sin(t)*this.altitude/Math.sin(Math.PI/2-this._pitch-t),r=Math.cos(Math.PI/2-this._pitch)*e+this.altitude,n=new Float64Array(16);if(d.perspective(n,2*Math.atan(this.height/2/this.altitude),this.width/this.height,.1,r),d.translate(n,n,[0,0,-this.altitude]),d.scale(n,n,[1,-1,1/this.height]),d.rotateX(n,n,this._pitch),d.rotateZ(n,n,this.angle),d.translate(n,n,[-this.x,-this.y,0]),this.projMatrix=n,n=d.create(),d.scale(n,n,[this.width/2,-this.height/2,1]),d.translate(n,n,[1,-1,0]),this.pixelMatrix=d.multiply(new Float64Array(16),n,this.projMatrix),!(n=d.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=n}}}},{\"../data/bucket\":311,\"../source/tile_coord\":351,\"../util/interpolate\":418,\"../util/util\":424,\"./coordinate\":320,\"./lng_lat\":321,\"gl-matrix\":177,\"point-geometry\":465}],324:[function(t,e,r){\"use strict\";var n={\" 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a,o,s,l,u,c,h,f,d=[];for(a=0,o=t.length;a<o;a++)if(u=n[t[a]]){for(f=null,s=0,l=u[1].length;s<l;s+=2)u[1][s]===-1&&u[1][s+1]===-1?f=null:(c=e+u[1][s]*i,h=r-u[1][s+1]*i,f&&d.push(f.x,f.y,c,h),f={x:c,y:h});e+=u[0]*i}return d}},{}],325:[function(t,e,r){\"use strict\";var n=e.exports={};n.version=t(\"../package.json\").version,n.Map=t(\"./ui/map\"),n.Control=t(\"./ui/control/control\"),n.Navigation=t(\"./ui/control/navigation\"),n.Geolocate=t(\"./ui/control/geolocate\"),n.Attribution=t(\"./ui/control/attribution\"),n.Popup=t(\"./ui/popup\"),n.Marker=t(\"./ui/marker\"),n.Style=t(\"./style/style\"),n.LngLat=t(\"./geo/lng_lat\"),n.LngLatBounds=t(\"./geo/lng_lat_bounds\"),n.Point=t(\"point-geometry\"),n.Evented=t(\"./util/evented\"),n.util=t(\"./util/util\"),n.supported=t(\"./util/browser\").supported;var i=t(\"./util/ajax\");n.util.getJSON=i.getJSON,n.util.getArrayBuffer=i.getArrayBuffer;var a=t(\"./util/config\");n.config=a,Object.defineProperty(n,\"accessToken\",{get:function(){return a.ACCESS_TOKEN},set:function(t){a.ACCESS_TOKEN=t}})},{\"../package.json\":426,\"./geo/lng_lat\":321,\"./geo/lng_lat_bounds\":322,\"./style/style\":360,\"./ui/control/attribution\":391,\"./ui/control/control\":392,\"./ui/control/geolocate\":393,\"./ui/control/navigation\":394,\"./ui/map\":403,\"./ui/marker\":404,\"./ui/popup\":405,\"./util/ajax\":407,\"./util/browser\":408,\"./util/config\":413,\"./util/evented\":416,\"./util/util\":424,\"point-geometry\":465}],326:[function(t,e,r){\"use strict\";var n=t(\"assert\");e.exports=function(t){for(var e={define:{},initialize:{}},r=0;r<t.length;r++){var i=t[r];n(\"u_\"===i.name.slice(0,2))\n",
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n,s=t.gl,l=t.transform,u=r.paint[\"background-color\"],c=r.paint[\"background-pattern\"],h=r.paint[\"background-opacity\"],f=c?t.spriteAtlas.getPosition(c.from,!0):null,d=c?t.spriteAtlas.getPosition(c.to,!0):null;if(t.setDepthSublayer(0),f&&d){if(t.isOpaquePass)return;n=t.useProgram(\"pattern\"),s.uniform1i(n.u_image,0),s.uniform2fv(n.u_pattern_tl_a,f.tl),s.uniform2fv(n.u_pattern_br_a,f.br),s.uniform2fv(n.u_pattern_tl_b,d.tl),s.uniform2fv(n.u_pattern_br_b,d.br),s.uniform1f(n.u_opacity,h),s.uniform1f(n.u_mix,c.t),s.uniform2fv(n.u_pattern_size_a,f.size),s.uniform2fv(n.u_pattern_size_b,d.size),s.uniform1f(n.u_scale_a,c.fromScale),s.uniform1f(n.u_scale_b,c.toScale),s.activeTexture(s.TEXTURE0),t.spriteAtlas.bind(s,!0),t.tileExtentPatternVAO.bind(s,n,t.tileExtentBuffer)}else{if(t.isOpaquePass!==(1===u[3]))return;var p=a([{name:\"u_color\",components:4},{name:\"u_opacity\",components:1}]);n=t.useProgram(\"fill\",[],p,p),s.uniform4fv(n.u_color,u),s.uniform1f(n.u_opacity,h),t.tileExtentVAO.bind(s,n,t.tileExtentBuffer)}s.disable(s.STENCIL_TEST);for(var m=l.coveringTiles({tileSize:o}),g=0;g<m.length;g++){var v=m[g];if(f&&d){var y={coord:v,tileSize:o};s.uniform1f(n.u_tile_units_to_pixels,1/i(y,1,t.transform.tileZoom));var b=y.tileSize*Math.pow(2,t.transform.tileZoom-y.coord.z),x=b*(y.coord.x+v.w*Math.pow(2,y.coord.z)),_=b*y.coord.y;s.uniform2f(n.u_pixel_coord_upper,x>>16,_>>16),s.uniform2f(n.u_pixel_coord_lower,65535&x,65535&_)}s.uniformMatrix4fv(n.u_matrix,!1,t.transform.calculatePosMatrix(v)),s.drawArrays(s.TRIANGLE_STRIP,0,t.tileExtentBuffer.length)}s.stencilMask(0),s.stencilFunc(s.EQUAL,128,128)}var i=t(\"../source/pixels_to_tile_units\"),a=t(\"./create_uniform_pragmas\"),o=512;e.exports=n},{\"../source/pixels_to_tile_units\":345,\"./create_uniform_pragmas\":326}],328:[function(t,e,r){\"use strict\";function n(t,e,r,n){if(!t.isOpaquePass){var a=t.gl;t.setDepthSublayer(0),t.depthMask(!1),a.disable(a.STENCIL_TEST);for(var o=0;o<n.length;o++){var s=n[o],l=e.getTile(s),u=l.getBucket(r);if(u){var c=u.bufferGroups.circle;if(c){var h=u.paintAttributes.circle[r.id],f=t.useProgram(\"circle\",h.defines,h.vertexPragmas,h.fragmentPragmas);\"map\"===r.paint[\"circle-pitch-scale\"]?(a.uniform1i(f.u_scale_with_map,!0),a.uniform2f(f.u_extrude_scale,t.transform.pixelsToGLUnits[0]*t.transform.altitude,t.transform.pixelsToGLUnits[1]*t.transform.altitude)):(a.uniform1i(f.u_scale_with_map,!1),a.uniform2fv(f.u_extrude_scale,t.transform.pixelsToGLUnits)),a.uniform1f(f.u_devicepixelratio,i.devicePixelRatio),a.uniformMatrix4fv(f.u_matrix,!1,t.translatePosMatrix(s.posMatrix,l,r.paint[\"circle-translate\"],r.paint[\"circle-translate-anchor\"])),u.setUniforms(a,\"circle\",f,r,{zoom:t.transform.zoom});for(var d=0;d<c.length;d++){var p=c[d];p.vaos[r.id].bind(a,f,p.layoutVertexBuffer,p.elementBuffer,p.paintVertexBuffers[r.id]),a.drawElements(a.TRIANGLES,3*p.elementBuffer.length,a.UNSIGNED_SHORT,0)}}}}}}var i=t(\"../util/browser\");e.exports=n},{\"../util/browser\":408}],329:[function(t,e,r){\"use strict\";function n(t,e,r,n){var i=t.gl;i.enable(i.STENCIL_TEST);for(var a=t.useProgram(\"collisionbox\"),o=0;o<n.length;o++){var s=n[o],l=e.getTile(s),u=l.getBucket(r);if(u){var c=u.bufferGroups.collisionBox;if(c&&c.length){var h=c[0];0!==h.layoutVertexBuffer.length&&(i.uniformMatrix4fv(a.u_matrix,!1,s.posMatrix),t.enableTileClippingMask(s),t.lineWidth(1),i.uniform1f(a.u_scale,Math.pow(2,t.transform.zoom-l.coord.z)),i.uniform1f(a.u_zoom,10*t.transform.zoom),i.uniform1f(a.u_maxzoom,10*(l.coord.z+1)),h.vaos[r.id].bind(i,a,h.layoutVertexBuffer),i.drawArrays(i.LINES,0,h.layoutVertexBuffer.length))}}}}e.exports=n},{}],330:[function(t,e,r){\"use strict\";function n(t,e,r){if(!t.isOpaquePass&&t.options.debug)for(var n=0;n<r.length;n++)i(t,e,r[n])}function i(t,e,r){var n=t.gl;n.disable(n.STENCIL_TEST),t.lineWidth(1*o.devicePixelRatio);var i=r.posMatrix,h=t.useProgram(\"debug\");n.uniformMatrix4fv(h.u_matrix,!1,i),n.uniform4f(h.u_color,1,0,0,1),t.debugVAO.bind(n,h,t.debugBuffer),n.drawArrays(n.LINE_STRIP,0,t.debugBuffer.length);for(var f=a(r.toString(),50,200,5),d=new t.PosArray,p=0;p<f.length;p+=2)d.emplaceBack(f[p],f[p+1]);var m=new u(d.serialize(),t.PosArray.serialize(),u.BufferType.VERTEX);(new c).bind(n,h,m),n.uniform4f(h.u_color,1,1,1,1);for(var g=e.getTile(r).tileSize,v=l/(Math.pow(2,t.transform.zoom-r.z)*g),y=[[-1,-1],[-1,1],[1,-1],[1,1]],b=0;b<y.length;b++){var x=y[b];n.uniformMatrix4fv(h.u_matrix,!1,s.translate([],i,[v*x[0],v*x[1],0])),n.drawArrays(n.LINES,0,m.length)}n.uniform4f(h.u_color,0,0,0,1),n.uniformMatrix4fv(h.u_matrix,!1,i),n.drawArrays(n.LINES,0,m.length)}var a=t(\"../lib/debugtext\"),o=t(\"../util/browser\"),s=t(\"gl-matrix\").mat4,l=t(\"../data/bucket\").EXTENT,u=t(\"../data/buffer\"),c=t(\"./vertex_array_object\");e.exports=n},{\"../data/bucket\":311,\"../data/buffer\":316,\"../lib/debugtext\":324,\"../util/browser\":408,\"./vertex_array_object\":339,\"gl-matrix\":177}],331:[function(t,e,r){\"use strict\";function n(t,e,r,n){var o=t.gl;o.enable(o.STENCIL_TEST);var s;if(s=!r.paint[\"fill-pattern\"]&&(r.isPaintValueFeatureConstant(\"fill-color\")&&r.isPaintValueFeatureConstant(\"fill-opacity\")&&1===r.paint[\"fill-color\"][3]&&1===r.paint[\"fill-opacity\"]),t.isOpaquePass===s){t.setDepthSublayer(1);for(var l=0;l<n.length;l++)i(t,e,r,n[l])}if(!t.isOpaquePass&&r.paint[\"fill-antialias\"]){t.lineWidth(2),t.depthMask(!1);var u=r.getPaintProperty(\"fill-outline-color\");(u||!r.paint[\"fill-pattern\"])&&u?t.setDepthSublayer(2):t.setDepthSublayer(0);for(var c=0;c<n.length;c++)a(t,e,r,n[c])}}function i(t,e,r,n){var i=e.getTile(n),a=i.getBucket(r);if(a){var s=a.bufferGroups.fill;if(s){var l,u=t.gl,c=r.paint[\"fill-pattern\"];if(c)l=t.useProgram(\"pattern\"),o(c,r.paint[\"fill-opacity\"],i,n,t,l),u.activeTexture(u.TEXTURE0),t.spriteAtlas.bind(u,!0);else{var h=a.paintAttributes.fill[r.id];l=t.useProgram(\"fill\",h.defines,h.vertexPragmas,h.fragmentPragmas),a.setUniforms(u,\"fill\",l,r,{zoom:t.transform.zoom})}u.uniformMatrix4fv(l.u_matrix,!1,t.translatePosMatrix(n.posMatrix,i,r.paint[\"fill-translate\"],r.paint[\"fill-translate-anchor\"])),t.enableTileClippingMask(n);for(var f=0;f<s.length;f++){var d=s[f];d.vaos[r.id].bind(u,l,d.layoutVertexBuffer,d.elementBuffer,d.paintVertexBuffers[r.id]),u.drawElements(u.TRIANGLES,d.elementBuffer.length,u.UNSIGNED_SHORT,0)}}}}function a(t,e,r,n){var i=e.getTile(n),a=i.getBucket(r);if(a){var s,l=t.gl,u=a.bufferGroups.fill,c=r.paint[\"fill-pattern\"],h=r.paint[\"fill-opacity\"],f=r.getPaintProperty(\"fill-outline-color\");if(c&&!f)s=t.useProgram(\"outlinepattern\"),l.uniform2f(s.u_world,l.drawingBufferWidth,l.drawingBufferHeight);else{var d=a.paintAttributes.fill[r.id];s=t.useProgram(\"outline\",d.defines,d.vertexPragmas,d.fragmentPragmas),l.uniform2f(s.u_world,l.drawingBufferWidth,l.drawingBufferHeight),l.uniform1f(s.u_opacity,h),a.setUniforms(l,\"fill\",s,r,{zoom:t.transform.zoom})}l.uniformMatrix4fv(s.u_matrix,!1,t.translatePosMatrix(n.posMatrix,i,r.paint[\"fill-translate\"],r.paint[\"fill-translate-anchor\"])),c&&o(c,h,i,n,t,s),t.enableTileClippingMask(n);for(var p=0;p<u.length;p++){var m=u[p];m.secondVaos[r.id].bind(l,s,m.layoutVertexBuffer,m.elementBuffer2,m.paintVertexBuffers[r.id]),l.drawElements(l.LINES,2*m.elementBuffer2.length,l.UNSIGNED_SHORT,0)}}}function o(t,e,r,n,i,a){var o=i.gl,l=i.spriteAtlas.getPosition(t.from,!0),u=i.spriteAtlas.getPosition(t.to,!0);if(l&&u){o.uniform1i(a.u_image,0),o.uniform2fv(a.u_pattern_tl_a,l.tl),o.uniform2fv(a.u_pattern_br_a,l.br),o.uniform2fv(a.u_pattern_tl_b,u.tl),o.uniform2fv(a.u_pattern_br_b,u.br),o.uniform1f(a.u_opacity,e),o.uniform1f(a.u_mix,t.t),o.uniform1f(a.u_tile_units_to_pixels,1/s(r,1,i.transform.tileZoom)),o.uniform2fv(a.u_pattern_size_a,l.size),o.uniform2fv(a.u_pattern_size_b,u.size),o.uniform1f(a.u_scale_a,t.fromScale),o.uniform1f(a.u_scale_b,t.toScale);var c=r.tileSize*Math.pow(2,i.transform.tileZoom-r.coord.z),h=c*(r.coord.x+n.w*Math.pow(2,r.coord.z)),f=c*r.coord.y;o.uniform2f(a.u_pixel_coord_upper,h>>16,f>>16),o.uniform2f(a.u_pixel_coord_lower,65535&h,65535&f),o.activeTexture(o.TEXTURE0),i.spriteAtlas.bind(o,!0)}}var s=t(\"../source/pixels_to_tile_units\");e.exports=n},{\"../source/pixels_to_tile_units\":345}],332:[function(t,e,r){\"use strict\";var n=t(\"../util/browser\"),i=t(\"gl-matrix\").mat2,a=t(\"../source/pixels_to_tile_units\");e.exports=function(t,e,r,o){if(!t.isOpaquePass){t.setDepthSublayer(0),t.depthMask(!1);var s=t.gl;if(s.enable(s.STENCIL_TEST),!(r.paint[\"line-width\"]<=0)){var l=1/n.devicePixelRatio,u=r.paint[\"line-blur\"]+l,c=r.paint[\"line-color\"],h=t.transform,f=i.create();i.scale(f,f,[1,Math.cos(h._pitch)]),i.rotate(f,f,t.transform.angle);var d,p,m,g,v,y=Math.sqrt(h.height*h.height/4*(1+h.altitude*h.altitude)),b=h.height/2*Math.tan(h._pitch),x=(y+b)/y-1,_=r.paint[\"line-dasharray\"],w=r.paint[\"line-pattern\"];if(_)d=t.useProgram(\"linesdfpattern\"),s.uniform1f(d.u_linewidth,r.paint[\"line-width\"]/2),s.uniform1f(d.u_gapwidth,r.paint[\"line-gap-width\"]/2),s.uniform1f(d.u_antialiasing,l/2),s.uniform1f(d.u_blur,u),s.uniform4fv(d.u_color,c),s.uniform1f(d.u_opacity,r.paint[\"line-opacity\"]),p=t.lineAtlas.getDash(_.from,\"round\"===r.layout[\"line-cap\"]),m=t.lineAtlas.getDash(_.to,\"round\"===r.layout[\"line-cap\"]),s.uniform1i(d.u_image,0),s.activeTexture(s.TEXTURE0),t.lineAtlas.bind(s),s.uniform1f(d.u_tex_y_a,p.y),s.uniform1f(d.u_tex_y_b,m.y),s.uniform1f(d.u_mix,_.t),s.uniform1f(d.u_extra,x),s.uniform1f(d.u_offset,-r.paint[\"line-offset\"]),s.uniformMatrix2fv(d.u_antialiasingmatrix,!1,f);else if(w){if(g=t.spriteAtlas.getPosition(w.from,!0),v=t.spriteAtlas.getPosition(w.to,!0),!g||!v)return;d=t.useProgram(\"linepattern\"),s.uniform1i(d.u_image,0),s.activeTexture(s.TEXTURE0),t.spriteAtlas.bind(s,!0),s.uniform1f(d.u_linewidth,r.paint[\"line-width\"]/2),s.uniform1f(d.u_gapwidth,r.paint[\"line-gap-width\"]/2),s.uniform1f(d.u_antialiasing,l/2),s.uniform1f(d.u_blur,u),s.uniform2fv(d.u_pattern_tl_a,g.tl),s.uniform2fv(d.u_pattern_br_a,g.br),s.uniform2fv(d.u_pattern_tl_b,v.tl),s.uniform2fv(d.u_pattern_br_b,v.br),s.uniform1f(d.u_fade,w.t),s.uniform1f(d.u_opacity,r.paint[\"line-opacity\"]),s.uniform1f(d.u_extra,x),s.uniform1f(d.u_offset,-r.paint[\"line-offset\"]),s.uniformMatrix2fv(d.u_antialiasingmatrix,!1,f)}else d=t.useProgram(\"line\"),s.uniform1f(d.u_linewidth,r.paint[\"line-width\"]/2),s.uniform1f(d.u_gapwidth,r.paint[\"line-gap-width\"]/2),s.uniform1f(d.u_antialiasing,l/2),s.uniform1f(d.u_blur,u),s.uniform1f(d.u_extra,x),s.uniform1f(d.u_offset,-r.paint[\"line-offset\"]),s.uniformMatrix2fv(d.u_antialiasingmatrix,!1,f),s.uniform4fv(d.u_color,c),s.uniform1f(d.u_opacity,r.paint[\"line-opacity\"]);for(var M=0;M<o.length;M++){var k=o[M],A=e.getTile(k),T=A.getBucket(r);if(T){var S=T.bufferGroups.line;if(S){t.enableTileClippingMask(k);var E=t.translatePosMatrix(k.posMatrix,A,r.paint[\"line-translate\"],r.paint[\"line-translate-anchor\"]);s.uniformMatrix4fv(d.u_matrix,!1,E);var L=1/a(A,1,t.transform.zoom);if(_){var C=p.width*_.fromScale,z=m.width*_.toScale,D=[1/a(A,C,t.transform.tileZoom),-p.height/2],I=[1/a(A,z,t.transform.tileZoom),-m.height/2],P=t.lineAtlas.width/(256*Math.min(C,z)*n.devicePixelRatio)/2;s.uniform1f(d.u_ratio,L),s.uniform2fv(d.u_patternscale_a,D),s.uniform2fv(d.u_patternscale_b,I),s.uniform1f(d.u_sdfgamma,P)}else w?(s.uniform1f(d.u_ratio,L),s.uniform2fv(d.u_pattern_size_a,[a(A,g.size[0]*w.fromScale,t.transform.tileZoom),v.size[1]]),s.uniform2fv(d.u_pattern_size_b,[a(A,v.size[0]*w.toScale,t.transform.tileZoom),v.size[1]])):s.uniform1f(d.u_ratio,L);for(var O=0;O<S.length;O++){var j=S[O];j.vaos[r.id].bind(s,d,j.layoutVertexBuffer,j.elementBuffer),s.drawElements(s.TRIANGLES,3*j.elementBuffer.length,s.UNSIGNED_SHORT,0)}}}}}}}},{\"../source/pixels_to_tile_units\":345,\"../util/browser\":408,\"gl-matrix\":177}],333:[function(t,e,r){\"use strict\";function n(t,e,r,n){if(!t.isOpaquePass){var a=t.gl;a.enable(a.DEPTH_TEST),t.depthMask(!0),a.depthFunc(a.LESS);for(var o=n.length&&n[0].z,s=0;s<n.length;s++){var l=n[s];t.setDepthSublayer(l.z-o),i(t,e,r,l)}a.depthFunc(a.LEQUAL)}}function i(t,e,r,n){var i=t.gl;i.disable(i.STENCIL_TEST);var u=e.getTile(n),c=t.transform.calculatePosMatrix(n,e.maxzoom),h=t.useProgram(\"raster\");i.uniformMatrix4fv(h.u_matrix,!1,c),i.uniform1f(h.u_brightness_low,r.paint[\"raster-brightness-min\"]),i.uniform1f(h.u_brightness_high,r.paint[\"raster-brightness-max\"]),i.uniform1f(h.u_saturation_factor,s(r.paint[\"raster-saturation\"])),i.uniform1f(h.u_contrast_factor,o(r.paint[\"raster-contrast\"])),i.uniform3fv(h.u_spin_weights,a(r.paint[\"raster-hue-rotate\"]));var f,d,p=u.source&&u.source.findLoadedParent(n,0,{}),m=l(u,p,r,t.transform);i.activeTexture(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,u.texture),i.activeTexture(i.TEXTURE1),p?(i.bindTexture(i.TEXTURE_2D,p.texture),f=Math.pow(2,p.coord.z-u.coord.z),d=[u.coord.x*f%1,u.coord.y*f%1]):(i.bindTexture(i.TEXTURE_2D,u.texture),m[1]=0),i.uniform2fv(h.u_tl_parent,d||[0,0]),i.uniform1f(h.u_scale_parent,f||1),i.uniform1f(h.u_buffer_scale,1),i.uniform1f(h.u_opacity0,m[0]),i.uniform1f(h.u_opacity1,m[1]),i.uniform1i(h.u_image0,0),i.uniform1i(h.u_image1,1);var g=u.boundsBuffer||t.rasterBoundsBuffer;(u.boundsVAO||t.rasterBoundsVAO).bind(i,h,g),i.drawArrays(i.TRIANGLE_STRIP,0,g.length)}function a(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}function o(t){return t>0?1/(1-t):1+t}function s(t){return t>0?1-1/(1.001-t):-t}function l(t,e,r,n){var i=[1,0],a=r.paint[\"raster-fade-duration\"];if(t.source&&a>0){var o=(new Date).getTime(),s=(o-t.timeAdded)/a,l=e?(o-e.timeAdded)/a:-1,c=n.coveringZoomLevel(t.source),h=!!e&&Math.abs(e.coord.z-c)>Math.abs(t.coord.z-c);!e||h?(i[0]=u.clamp(s,0,1),i[1]=1-i[0]):(i[0]=u.clamp(1-l,0,1),i[1]=1-i[0])}var f=r.paint[\"raster-opacity\"];return i[0]*=f,i[1]*=f,i}var u=t(\"../util/util\"),c=t(\"../util/struct_array\");e.exports=n,n.RasterBoundsArray=new c({members:[{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]})},{\"../util/struct_array\":422,\"../util/util\":424}],334:[function(t,e,r){\"use strict\";function n(t,e,r,n){if(!t.isOpaquePass){var a=!(r.layout[\"text-allow-overlap\"]||r.layout[\"icon-allow-overlap\"]||r.layout[\"text-ignore-placement\"]||r.layout[\"icon-ignore-placement\"]),o=t.gl;a?o.disable(o.STENCIL_TEST):o.enable(o.STENCIL_TEST),t.setDepthSublayer(0),t.depthMask(!1),o.disable(o.DEPTH_TEST),i(t,e,r,n,!1,r.paint[\"icon-translate\"],r.paint[\"icon-translate-anchor\"],r.layout[\"icon-rotation-alignment\"],r.layout[\"icon-rotation-alignment\"],r.layout[\"icon-size\"],r.paint[\"icon-halo-width\"],r.paint[\"icon-halo-color\"],r.paint[\"icon-halo-blur\"],r.paint[\"icon-opacity\"],r.paint[\"icon-color\"]),i(t,e,r,n,!0,r.paint[\"text-translate\"],r.paint[\"text-translate-anchor\"],r.layout[\"text-rotation-alignment\"],r.layout[\"text-pitch-alignment\"],r.layout[\"text-size\"],r.paint[\"text-halo-width\"],r.paint[\"text-halo-color\"],r.paint[\"text-halo-blur\"],r.paint[\"text-opacity\"],r.paint[\"text-color\"]),o.enable(o.DEPTH_TEST),e.map.showCollisionBoxes&&s(t,e,r,n)}}function i(t,e,r,n,i,o,s,l,u,c,h,f,d,p,m){for(var g=0;g<n.length;g++){var v=e.getTile(n[g]),y=v.getBucket(r);if(y){var b=y.bufferGroups,x=i?b.glyph:b.icon;x.length&&(t.enableTileClippingMask(n[g]),a(t,r,n[g].posMatrix,v,y,x,i,i||y.sdfIcons,!i&&y.iconsNeedLinear,i?y.adjustedTextSize:y.adjustedIconSize,y.fontstack,o,s,l,u,c,h,f,d,p,m))}}}function a(t,e,r,n,i,a,s,u,c,h,f,d,p,m,g,v,y,b,x,_,w){var M,k,A,T=t.gl,S=t.transform,E=\"map\"===m,L=\"map\"===g,C=s?24:1,z=v/C;if(L?(k=l(n,1,t.transform.zoom)*z,A=1/Math.cos(S._pitch),M=[k,k]):(k=t.transform.altitude*z,A=1,M=[S.pixelsToGLUnits[0]*k,S.pixelsToGLUnits[1]*k]),s||t.style.sprite.loaded()){var D=t.useProgram(u?\"sdf\":\"icon\");if(T.uniformMatrix4fv(D.u_matrix,!1,t.translatePosMatrix(r,n,d,p)),T.uniform1i(D.u_rotate_with_map,E),T.uniform1i(D.u_pitch_with_map,L),T.uniform2fv(D.u_extrude_scale,M),T.activeTexture(T.TEXTURE0),T.uniform1i(D.u_texture,0),s){var I=f&&t.glyphSource.getGlyphAtlas(f);if(!I)return;I.updateTexture(T),T.uniform2f(D.u_texsize,I.width/4,I.height/4)}else{var P=t.options.rotating||t.options.zooming,O=1!==z||o.devicePixelRatio!==t.spriteAtlas.pixelRatio||c,j=L||t.transform.pitch;t.spriteAtlas.bind(T,u||P||O||j),T.uniform2f(D.u_texsize,t.spriteAtlas.width/4,t.spriteAtlas.height/4)}var R=Math.log(v/h)/Math.LN2||0;T.uniform1f(D.u_zoom,10*(t.transform.zoom-R)),T.activeTexture(T.TEXTURE1),t.frameHistory.bind(T),T.uniform1i(D.u_fadetexture,1);var F;if(u){var N=.105*C/v/o.devicePixelRatio;if(y){T.uniform1f(D.u_gamma,(1.19*x/z/8+N)*A),T.uniform4fv(D.u_color,b),T.uniform1f(D.u_opacity,_),T.uniform1f(D.u_buffer,(6-y/z)/8);for(var B=0;B<a.length;B++)F=a[B],F.vaos[e.id].bind(T,D,F.layoutVertexBuffer,F.elementBuffer),T.drawElements(T.TRIANGLES,3*F.elementBuffer.length,T.UNSIGNED_SHORT,0)}T.uniform1f(D.u_gamma,N*A),T.uniform4fv(D.u_color,w),T.uniform1f(D.u_opacity,_),T.uniform1f(D.u_buffer,.75),T.uniform1f(D.u_pitch,S.pitch/360*2*Math.PI),T.uniform1f(D.u_bearing,S.bearing/360*2*Math.PI),T.uniform1f(D.u_aspect_ratio,S.width/S.height);for(var U=0;U<a.length;U++)F=a[U],F.vaos[e.id].bind(T,D,F.layoutVertexBuffer,F.elementBuffer),T.drawElements(T.TRIANGLES,3*F.elementBuffer.length,T.UNSIGNED_SHORT,0)}else{T.uniform1f(D.u_opacity,_);for(var V=0;V<a.length;V++)F=a[V],F.vaos[e.id].bind(T,D,F.layoutVertexBuffer,F.elementBuffer),T.drawElements(T.TRIANGLES,3*F.elementBuffer.length,T.UNSIGNED_SHORT,0)}}}var o=t(\"../util/browser\"),s=t(\"./draw_collision_debug\"),l=t(\"../source/pixels_to_tile_units\");e.exports=n},{\"../source/pixels_to_tile_units\":345,\"../util/browser\":408,\"./draw_collision_debug\":329}],335:[function(t,e,r){\"use strict\";function n(){this.changeTimes=new Float64Array(256),this.changeOpacities=new Uint8Array(256),this.opacities=new Uint8ClampedArray(256),this.array=new Uint8Array(this.opacities.buffer),this.fadeDuration=300,this.previousZoom=0,this.firstFrame=!0}e.exports=n,n.prototype.record=function(t){var e=Date.now();this.firstFrame&&(e=0,this.firstFrame=!1),t=Math.floor(10*t);var r;if(t<this.previousZoom)for(r=t+1;r<=this.previousZoom;r++)this.changeTimes[r]=e,this.changeOpacities[r]=this.opacities[r];else for(r=t;r>this.previousZoom;r--)this.changeTimes[r]=e,this.changeOpacities[r]=this.opacities[r];for(r=0;r<256;r++){var n=e-this.changeTimes[r],i=n/this.fadeDuration*255;this.opacities[r]=r<=t?this.changeOpacities[r]+i:this.changeOpacities[r]-i}this.changed=!0,this.previousZoom=t},n.prototype.bind=function(t){this.texture?(t.bindTexture(t.TEXTURE_2D,this.texture),this.changed&&(t.texSubImage2D(t.TEXTURE_2D,0,0,0,256,1,t.ALPHA,t.UNSIGNED_BYTE,this.array),this.changed=!1)):(this.texture=t.createTexture(),t.bindTexture(t.TEXTURE_2D,this.texture),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texImage2D(t.TEXTURE_2D,0,t.ALPHA,256,1,0,t.ALPHA,t.UNSIGNED_BYTE,this.array))}},{}],336:[function(t,e,r){\"use strict\";function n(t,e){this.width=t,this.height=e,this.nextRow=0,this.bytes=4,this.data=new Uint8Array(this.width*this.height*this.bytes),this.positions={}}var i=t(\"../util/util\");e.exports=n,n.prototype.setSprite=function(t){this.sprite=t},n.prototype.getDash=function(t,e){var r=t.join(\",\")+e;return this.positions[r]||(this.positions[r]=this.addDash(t,e)),this.positions[r]},n.prototype.addDash=function(t,e){var r=e?7:0,n=2*r+1;if(this.nextRow+n>this.height)return i.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<t.length;o++)a+=t[o];for(var s=this.width/a,l=s/2,u=t.length%2==1,c=-r;c<=r;c++)for(var h=this.nextRow+r+c,f=this.width*h,d=u?-t[t.length-1]:0,p=t[0],m=1,g=0;g<this.width;g++){for(;p<g/s;)d=p,p+=t[m],u&&m===t.length-1&&(p+=t[0]),m++;var v,y=Math.abs(g-d*s),b=Math.abs(g-p*s),x=Math.min(y,b),_=m%2==1;if(e){var w=r?c/r*(l+1):0;if(_){var M=l-Math.abs(w);v=Math.sqrt(x*x+M*M)}else v=l-Math.sqrt(x*x+w*w)}else v=(_?1:-1)*x;this.data[3+4*(f+g)]=Math.max(0,Math.min(255,v+128))}var k={y:(this.nextRow+r+.5)/this.height,height:2*r/this.height,width:a};return this.nextRow+=n,this.dirty=!0,k},n.prototype.bind=function(t){this.texture?(t.bindTexture(t.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,t.texSubImage2D(t.TEXTURE_2D,0,0,0,this.width,this.height,t.RGBA,t.UNSIGNED_BYTE,this.data))):(this.texture=t.createTexture(),t.bindTexture(t.TEXTURE_2D,this.texture),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.REPEAT),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.REPEAT),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.LINEAR),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.LINEAR),t.texImage2D(t.TEXTURE_2D,0,t.RGBA,this.width,this.height,0,t.RGBA,t.UNSIGNED_BYTE,this.data))}},{\"../util/util\":424}],337:[function(t,e,r){\"use strict\";function n(t,e){this.gl=t,this.transform=e,this.reusableTextures={},this.preFbos={},this.frameHistory=new o,this.setup(),this.numSublayers=s.maxUnderzooming+s.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.lineWidthRange=t.getParameter(t.ALIASED_LINE_WIDTH_RANGE)}var i=t(\"../util/browser\"),a=t(\"gl-matrix\").mat4,o=t(\"./frame_history\"),s=t(\"../source/source_cache\"),l=t(\"../data/bucket\").EXTENT,u=t(\"../source/pixels_to_tile_units\"),c=t(\"../util/util\"),h=t(\"../util/struct_array\"),f=t(\"../data/buffer\"),d=t(\"./vertex_array_object\"),p=t(\"./draw_raster\").RasterBoundsArray,m=t(\"./create_uniform_pragmas\");e.exports=n,c.extend(n.prototype,t(\"./painter/use_program\")),n.prototype.resize=function(t,e){var r=this.gl;this.width=t*i.devicePixelRatio,this.height=e*i.devicePixelRatio,r.viewport(0,0,this.width,this.height)},n.prototype.setup=function(){var t=this.gl;t.verbose=!0,t.enable(t.BLEND),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),t.enable(t.STENCIL_TEST),t.enable(t.DEPTH_TEST),t.depthFunc(t.LEQUAL),this._depthMask=!1,t.depthMask(!1);var e=this.PosArray=new h({members:[{name:\"a_pos\",type:\"Int16\",components:2}]}),r=new e;r.emplaceBack(0,0),r.emplaceBack(l,0),r.emplaceBack(0,l),r.emplaceBack(l,l),this.tileExtentBuffer=new f(r.serialize(),e.serialize(),f.BufferType.VERTEX),this.tileExtentVAO=new d,this.tileExtentPatternVAO=new d;var n=new e;n.emplaceBack(0,0),n.emplaceBack(l,0),n.emplaceBack(l,l),n.emplaceBack(0,l),n.emplaceBack(0,0),this.debugBuffer=new f(n.serialize(),e.serialize(),f.BufferType.VERTEX),this.debugVAO=new d;var i=new p;i.emplaceBack(0,0,0,0),i.emplaceBack(l,0,32767,0),i.emplaceBack(0,l,0,32767),i.emplaceBack(l,l,32767,32767),this.rasterBoundsBuffer=new f(i.serialize(),p.serialize(),f.BufferType.VERTEX),this.rasterBoundsVAO=new d},n.prototype.clearColor=function(){var t=this.gl;t.clearColor(0,0,0,0),t.clear(t.COLOR_BUFFER_BIT)},n.prototype.clearStencil=function(){var t=this.gl;t.clearStencil(0),t.stencilMask(255),t.clear(t.STENCIL_BUFFER_BIT)},n.prototype.clearDepth=function(){var t=this.gl;t.clearDepth(1),this.depthMask(!0),t.clear(t.DEPTH_BUFFER_BIT)},n.prototype._renderTileClippingMasks=function(t){var e=this.gl;e.colorMask(!1,!1,!1,!1),this.depthMask(!1),e.disable(e.DEPTH_TEST),e.enable(e.STENCIL_TEST),e.stencilMask(248),e.stencilOp(e.KEEP,e.KEEP,e.REPLACE);var r=1;this._tileClippingMaskIDs={};for(var n=0;n<t.length;n++){var i=t[n],a=this._tileClippingMaskIDs[i.id]=r++<<3;e.stencilFunc(e.ALWAYS,a,248);var o=m([{name:\"u_color\",components:4},{name:\"u_opacity\",components:1}]),s=this.useProgram(\"fill\",[],o,o);e.uniformMatrix4fv(s.u_matrix,!1,i.posMatrix),this.tileExtentVAO.bind(e,s,this.tileExtentBuffer),e.drawArrays(e.TRIANGLE_STRIP,0,this.tileExtentBuffer.length)}e.stencilMask(0),e.colorMask(!0,!0,!0,!0),this.depthMask(!0),e.enable(e.DEPTH_TEST)},n.prototype.enableTileClippingMask=function(t){var e=this.gl;e.stencilFunc(e.EQUAL,this._tileClippingMaskIDs[t.id],248)},n.prototype.prepareBuffers=function(){},n.prototype.bindDefaultFramebuffer=function(){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,null)};var g={symbol:t(\"./draw_symbol\"),circle:t(\"./draw_circle\"),line:t(\"./draw_line\"),fill:t(\"./draw_fill\"),raster:t(\"./draw_raster\"),background:t(\"./draw_background\"),debug:t(\"./draw_debug\")};n.prototype.render=function(t,e){this.style=t,this.options=e,this.lineAtlas=t.lineAtlas,this.spriteAtlas=t.spriteAtlas,this.spriteAtlas.setSprite(t.sprite),this.glyphSource=t.glyphSource,this.frameHistory.record(this.transform.zoom),this.prepareBuffers(),this.clearColor(),this.clearDepth(),this.showOverdrawInspector(e.showOverdrawInspector),this.depthRange=(t._order.length+2)*this.numSublayers*this.depthEpsilon,this.renderPass({isOpaquePass:!0}),this.renderPass({isOpaquePass:!1})},n.prototype.renderPass=function(t){var e=this.style._groups,r=t.isOpaquePass;this.currentLayer=r?this.style._order.length:-1;for(var n=0;n<e.length;n++){var i,a=e[r?e.length-1-n:n],o=this.style.sources[a.source],s=[];if(o){for(s=o.getVisibleCoordinates(),i=0;i<s.length;i++)s[i].posMatrix=this.transform.calculatePosMatrix(s[i],o.maxzoom);this.clearStencil(),o.prepare&&o.prepare(),o.isTileClipped&&this._renderTileClippingMasks(s)}for(r?(this._showOverdrawInspector||this.gl.disable(this.gl.BLEND),this.isOpaquePass=!0):(this.gl.enable(this.gl.BLEND),this.isOpaquePass=!1,s.reverse()),i=0;i<a.length;i++){var l=a[r?a.length-1-i:i];this.currentLayer+=r?-1:1,this.renderLayer(this,o,l,s)}o&&g.debug(this,o,s)}},n.prototype.depthMask=function(t){t!==this._depthMask&&(this._depthMask=t,this.gl.depthMask(t))},n.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||n.length)&&(this.id=r.id,g[r.type](t,e,r,n))},n.prototype.setDepthSublayer=function(t){var e=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon,r=e-1+this.depthRange;this.gl.depthRange(r,e)},n.prototype.translatePosMatrix=function(t,e,r,n){if(!r[0]&&!r[1])return t;if(\"viewport\"===n){var i=Math.sin(-this.transform.angle),o=Math.cos(-this.transform.angle);r=[r[0]*o-r[1]*i,r[0]*i+r[1]*o]}var s=[u(e,r[0],this.transform.zoom),u(e,r[1],this.transform.zoom),0],l=new Float32Array(16);return a.translate(l,t,s),l},n.prototype.saveTexture=function(t){var e=this.reusableTextures[t.size];e?e.push(t):this.reusableTextures[t.size]=[t]},n.prototype.getTexture=function(t){var e=this.reusableTextures[t];return e&&e.length>0?e.pop():null},n.prototype.lineWidth=function(t){this.gl.lineWidth(c.clamp(t,this.lineWidthRange[0],this.lineWidthRange[1]))},n.prototype.showOverdrawInspector=function(t){if(t||this._showOverdrawInspector){this._showOverdrawInspector=t;var e=this.gl;if(t){e.blendFunc(e.CONSTANT_COLOR,e.ONE);e.blendColor(1/8,1/8,1/8,0),e.clearColor(0,0,0,1),e.clear(e.COLOR_BUFFER_BIT)}else e.blendFunc(e.ONE,e.ONE_MINUS_SRC_ALPHA)}}},{\"../data/bucket\":311,\"../data/buffer\":316,\"../source/pixels_to_tile_units\":345,\"../source/source_cache\":349,\"../util/browser\":408,\"../util/struct_array\":422,\"../util/util\":424,\"./create_uniform_pragmas\":326,\"./draw_background\":327,\"./draw_circle\":328,\"./draw_debug\":330,\"./draw_fill\":331,\"./draw_line\":332,\"./draw_raster\":333,\"./draw_symbol\":334,\"./frame_history\":335,\"./painter/use_program\":338,\"./vertex_array_object\":339,\"gl-matrix\":177}],338:[function(t,e,r){\"use strict\";function n(t,e){return t.replace(/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,function(t,r,n,i,a){return e[r][a].replace(/{type}/g,i).replace(/{precision}/g,n)})}var i=t(\"assert\"),a=t(\"../../util/util\"),o=t(\"mapbox-gl-shaders\"),s=o.util;e.exports._createProgram=function(t,e,r,l){for(var u=this.gl,c=u.createProgram(),h=o[t],f=\"#define MAPBOX_GL_JS;\\n\",d=0;d<e.length;d++)f+=\"#define \"+e[d]+\";\\n\";var p=u.createShader(u.FRAGMENT_SHADER);u.shaderSource(p,n(f+h.fragmentSource,l)),u.compileShader(p),i(u.getShaderParameter(p,u.COMPILE_STATUS),u.getShaderInfoLog(p)),u.attachShader(c,p);var m=u.createShader(u.VERTEX_SHADER);u.shaderSource(m,n(f+s+h.vertexSource,r)),u.compileShader(m),i(u.getShaderParameter(m,u.COMPILE_STATUS),u.getShaderInfoLog(m)),u.attachShader(c,m),u.linkProgram(c),i(u.getProgramParameter(c,u.LINK_STATUS),u.getProgramInfoLog(c));for(var g={},v=u.getProgramParameter(c,u.ACTIVE_ATTRIBUTES),y=0;y<v;y++){var b=u.getActiveAttrib(c,y);g[b.name]=u.getAttribLocation(c,b.name)}for(var x={},_=u.getProgramParameter(c,u.ACTIVE_UNIFORMS),w=0;w<_;w++){var M=u.getActiveUniform(c,w);x[M.name]=u.getUniformLocation(c,M.name)}return a.extend({program:c,definition:h,attributes:g,numAttributes:v},g,x)},e.exports._createProgramCached=function(t,e,r,n){this.cache=this.cache||{};var i=JSON.stringify({name:t,defines:e,vertexPragmas:r,fragmentPragmas:n});return this.cache[i]||(this.cache[i]=this._createProgram(t,e,r,n)),this.cache[i]},e.exports.useProgram=function(t,e,r,n){var i=this.gl;e=e||[],this._showOverdrawInspector&&(e=e.concat(\"OVERDRAW_INSPECTOR\"));var a=this._createProgramCached(t,e,r,n);return this.currentProgram!==a&&(i.useProgram(a.program),this.currentProgram=a),a}},{\"../../util/util\":424,assert:40,\"mapbox-gl-shaders\":285}],339:[function(t,e,r){\"use strict\";function n(){this.boundProgram=null,this.boundVertexBuffer=null,this.boundVertexBuffer2=null,this.boundElementBuffer=null,this.vao=null}var i=t(\"assert\");e.exports=n,n.prototype.bind=function(t,e,r,n,i){void 0===t.extVertexArrayObject&&(t.extVertexArrayObject=t.getExtension(\"OES_vertex_array_object\"));var a=!this.vao||this.boundProgram!==e||this.boundVertexBuffer!==r||this.boundVertexBuffer2!==i||this.boundElementBuffer!==n;!t.extVertexArrayObject||a?this.freshBind(t,e,r,n,i):t.extVertexArrayObject.bindVertexArrayOES(this.vao)},n.prototype.freshBind=function(t,e,r,n,a){var o,s=e.numAttributes;if(t.extVertexArrayObject)this.vao&&this.destroy(t),this.vao=t.extVertexArrayObject.createVertexArrayOES(),t.extVertexArrayObject.bindVertexArrayOES(this.vao),o=0,this.boundProgram=e,this.boundVertexBuffer=r,this.boundVertexBuffer2=a,this.boundElementBuffer=n;else{o=t.currentNumAttributes||0;for(var l=s;l<o;l++)i(0!==l),t.disableVertexAttribArray(l)}for(var u=o;u<s;u++)t.enableVertexAttribArray(u);r.bind(t),r.setVertexAttribPointers(t,e),a&&(a.bind(t),a.setVertexAttribPointers(t,e)),n&&n.bind(t),t.currentNumAttributes=s},n.prototype.unbind=function(t){var e=t.extVertexArrayObject;e&&e.bindVertexArrayOES(null)},n.prototype.destroy=function(t){var e=t.extVertexArrayObject;e&&this.vao&&(e.deleteVertexArrayOES(this.vao),this.vao=null)}},{assert:40}],340:[function(t,e,r){\"use strict\";function n(t,e,r){e=e||{},this.id=t,this.dispatcher=r,this._data=e.data,void 0!==e.maxzoom&&(this.maxzoom=e.maxzoom),e.type&&(this.type=e.type);var n=s/this.tileSize;this.workerOptions=a.extend({source:this.id,cluster:e.cluster||!1,geojsonVtOptions:{buffer:(void 0!==e.buffer?e.buffer:128)*n,tolerance:(void 0!==e.tolerance?e.tolerance:.375)*n,extent:s,maxZoom:this.maxzoom},superclusterOptions:{maxZoom:Math.min(e.clusterMaxZoom,this.maxzoom-1)||this.maxzoom-1,extent:s,radius:(e.clusterRadius||50)*n,log:!1}},e.workerOptions),this._updateWorkerData(function(t){if(t)return void this.fire(\"error\",{error:t});this.fire(\"load\")}.bind(this))}var i=t(\"../util/evented\"),a=t(\"../util/util\"),o=t(\"resolve-url\"),s=t(\"../data/bucket\").EXTENT;e.exports=n,n.prototype=a.inherit(i,{type:\"geojson\",minzoom:0,maxzoom:18,tileSize:512,isTileClipped:!0,reparseOverscaled:!0,onAdd:function(t){this.map=t},setData:function(t){return this._data=t,this._updateWorkerData(function(t){if(t)return this.fire(\"error\",{error:t});this.fire(\"change\")}.bind(this)),this},_updateWorkerData:function(t){var e=a.extend({},this.workerOptions),r=this._data;\"string\"==typeof r?e.url=\"undefined\"!=typeof window?o(window.location.href,r):r:e.data=JSON.stringify(r),this.workerID=this.dispatcher.send(this.type+\".loadData\",e,function(e){this._loaded=!0,t(e)}.bind(this))},loadTile:function(t,e){var r=t.coord.z>this.maxzoom?Math.pow(2,t.coord.z-this.maxzoom):1,n={type:this.type,uid:t.uid,coord:t.coord,zoom:t.coord.z,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,overscaling:r,angle:this.map.transform.angle,\n",
       "pitch:this.map.transform.pitch,showCollisionBoxes:this.map.showCollisionBoxes};t.workerID=this.dispatcher.send(\"load tile\",n,function(r,n){if(t.unloadVectorData(this.map.painter),!t.aborted)return r?e(r):(t.loadVectorData(n,this.map.style),t.redoWhenDone&&(t.redoWhenDone=!1,t.redoPlacement(this)),e(null))}.bind(this),this.workerID)},abortTile:function(t){t.aborted=!0},unloadTile:function(t){t.unloadVectorData(this.map.painter),this.dispatcher.send(\"remove tile\",{uid:t.uid,source:this.id},function(){},t.workerID)},serialize:function(){return{type:this.type,data:this._data}}})},{\"../data/bucket\":311,\"../util/evented\":416,\"../util/util\":424,\"resolve-url\":482}],341:[function(t,e,r){\"use strict\";function n(t,e,r){r&&(this.loadGeoJSON=r),h.call(this,t,e)}var i=t(\"../util/util\"),a=t(\"../util/ajax\"),o=t(\"geojson-rewind\"),s=t(\"./geojson_wrapper\"),l=t(\"vt-pbf\"),u=t(\"supercluster\"),c=t(\"geojson-vt\"),h=t(\"./vector_tile_worker_source\");e.exports=n,n.prototype=i.inherit(h,{_geoJSONIndexes:{},loadVectorData:function(t,e){var r=t.source,n=t.coord;if(!this._geoJSONIndexes[r])return e(null,null);var i=this._geoJSONIndexes[r].getTile(Math.min(n.z,t.maxZoom),n.x,n.y);if(!i)return e(null,null);var a=new s(i.features);a.name=\"_geojsonTileLayer\";var o=l({layers:{_geojsonTileLayer:a}});0===o.byteOffset&&o.byteLength===o.buffer.byteLength||(o=new Uint8Array(o)),e(null,{tile:a,rawTileData:o.buffer})},loadData:function(t,e){var r=function(r,n){return r?e(r):\"object\"!=typeof n?e(new Error(\"Input data is not a valid GeoJSON object.\")):(o(n,!0),void this._indexData(n,t,function(r,n){if(r)return e(r);this._geoJSONIndexes[t.source]=n,e(null)}.bind(this)))}.bind(this);this.loadGeoJSON(t,r)},loadGeoJSON:function(t,e){if(t.url)a.getJSON(t.url,e);else{if(\"string\"!=typeof t.data)return e(new Error(\"Input data is not a valid GeoJSON object.\"));try{return e(null,JSON.parse(t.data))}catch(t){return e(new Error(\"Input data is not a valid GeoJSON object.\"))}}},_indexData:function(t,e,r){try{e.cluster?r(null,u(e.superclusterOptions).load(t.features)):r(null,c(t,e.geojsonVtOptions))}catch(t){return r(t)}}})},{\"../util/ajax\":407,\"../util/util\":424,\"./geojson_wrapper\":342,\"./vector_tile_worker_source\":353,\"geojson-rewind\":123,\"geojson-vt\":127,supercluster:509,\"vt-pbf\":536}],342:[function(t,e,r){\"use strict\";function n(t){this.features=t,this.length=t.length,this.extent=s}function i(t){if(this.type=t.type,1===t.type){this.rawGeometry=[];for(var e=0;e<t.geometry.length;e++)this.rawGeometry.push([t.geometry[e]])}else this.rawGeometry=t.geometry;this.properties=t.tags,this.extent=s}var a=t(\"point-geometry\"),o=t(\"vector-tile\").VectorTileFeature,s=t(\"../data/bucket\").EXTENT;e.exports=n,n.prototype.feature=function(t){return new i(this.features[t])},i.prototype.loadGeometry=function(){var t=this.rawGeometry;this.geometry=[];for(var e=0;e<t.length;e++){for(var r=t[e],n=[],i=0;i<r.length;i++)n.push(new a(r[i][0],r[i][1]));this.geometry.push(n)}return this.geometry},i.prototype.bbox=function(){this.geometry||this.loadGeometry();for(var t=this.geometry,e=1/0,r=-1/0,n=1/0,i=-1/0,a=0;a<t.length;a++)for(var o=t[a],s=0;s<o.length;s++){var l=o[s];e=Math.min(e,l.x),r=Math.max(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.y)}return[e,n,r,i]},i.prototype.toGeoJSON=o.prototype.toGeoJSON},{\"../data/bucket\":311,\"point-geometry\":465,\"vector-tile\":530}],343:[function(t,e,r){\"use strict\";function n(t,e,r){this.id=t,this.dispatcher=r,this.url=e.url,this.coordinates=e.coordinates,u.getImage(e.url,function(t,r){if(t)return this.fire(\"error\",{error:t});this.image=r,this.image.addEventListener(\"load\",function(){this.map._rerender()}.bind(this)),this._loaded=!0,this.fire(\"load\"),this.map&&this.setCoordinates(e.coordinates)}.bind(this))}var i=t(\"../util/util\"),a=t(\"./tile_coord\"),o=t(\"../geo/lng_lat\"),s=t(\"point-geometry\"),l=t(\"../util/evented\"),u=t(\"../util/ajax\"),c=t(\"../data/bucket\").EXTENT,h=t(\"../render/draw_raster\").RasterBoundsArray,f=t(\"../data/buffer\"),d=t(\"../render/vertex_array_object\");e.exports=n,n.prototype=i.inherit(l,{minzoom:0,maxzoom:22,tileSize:512,onAdd:function(t){this.map=t,this.image&&this.setCoordinates(this.coordinates)},setCoordinates:function(t){this.coordinates=t;var e=this.map,r=t.map(function(t){return e.transform.locationCoordinate(o.convert(t)).zoomTo(0)}),n=this.centerCoord=i.getCoordinatesCenter(r);return n.column=Math.round(n.column),n.row=Math.round(n.row),this.minzoom=this.maxzoom=n.zoom,this._coord=new a(n.zoom,n.column,n.row),this._tileCoords=r.map(function(t){var e=t.zoomTo(n.zoom);return new s(Math.round((e.column-n.column)*c),Math.round((e.row-n.row)*c))}),this.fire(\"change\"),this},_setTile:function(t){this._prepared=!1,this.tile=t;var e=new h;e.emplaceBack(this._tileCoords[0].x,this._tileCoords[0].y,0,0),e.emplaceBack(this._tileCoords[1].x,this._tileCoords[1].y,32767,0),e.emplaceBack(this._tileCoords[3].x,this._tileCoords[3].y,0,32767),e.emplaceBack(this._tileCoords[2].x,this._tileCoords[2].y,32767,32767),this.tile.buckets={},this.tile.boundsBuffer=new f(e.serialize(),h.serialize(),f.BufferType.VERTEX),this.tile.boundsVAO=new d,this.tile.state=\"loaded\"},prepare:function(){if(this._loaded&&this.image&&this.image.complete&&this.tile){var t=this.map.painter,e=t.gl;this._prepared?(e.bindTexture(e.TEXTURE_2D,this.tile.texture),e.texSubImage2D(e.TEXTURE_2D,0,0,0,e.RGBA,e.UNSIGNED_BYTE,this.image)):(this.tile.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.tile.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.CLAMP_TO_EDGE),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.CLAMP_TO_EDGE),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.RGBA,e.RGBA,e.UNSIGNED_BYTE,this.image))}},loadTile:function(t,e){this._coord&&this._coord.toString()===t.coord.toString()?(this._setTile(t),e(null)):(t.state=\"errored\",e(null))},serialize:function(){return{type:\"image\",urls:this.url,coordinates:this.coordinates}}})},{\"../data/bucket\":311,\"../data/buffer\":316,\"../geo/lng_lat\":321,\"../render/draw_raster\":333,\"../render/vertex_array_object\":339,\"../util/ajax\":407,\"../util/evented\":416,\"../util/util\":424,\"./tile_coord\":351,\"point-geometry\":465}],344:[function(t,e,r){\"use strict\";var n=t(\"../util/util\"),i=t(\"../util/ajax\"),a=t(\"../util/browser\"),o=t(\"../util/mapbox\").normalizeSourceURL;e.exports=function(t,e){var r=function(t,r){if(t)return e(t);var i=n.pick(r,[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\"]);r.vector_layers&&(i.vectorLayers=r.vector_layers,i.vectorLayerIds=i.vectorLayers.map(function(t){return t.id})),e(null,i)};t.url?i.getJSON(o(t.url),r):a.frame(r.bind(null,null,t))}},{\"../util/ajax\":407,\"../util/browser\":408,\"../util/mapbox\":421,\"../util/util\":424}],345:[function(t,e,r){\"use strict\";var n=t(\"../data/bucket\");e.exports=function(t,e,r){return e*(n.EXTENT/(t.tileSize*Math.pow(2,r-t.coord.z)))}},{\"../data/bucket\":311}],346:[function(t,e,r){\"use strict\";function n(t,e){var r=t.coord,n=e.coord;return r.z-n.z||r.y-n.y||r.w-n.w||r.x-n.x}function i(t){for(var e=t[0]||{},r=1;r<t.length;r++){var n=t[r];for(var i in n){var a=n[i],o=e[i];if(void 0===o)o=e[i]=a;else for(var s=0;s<a.length;s++)o.push(a[s])}}return e}var a=t(\"./tile_coord\");r.rendered=function(t,e,r,a,o,s){var l=t.tilesIn(r);l.sort(n);for(var u=[],c=0;c<l.length;c++){var h=l[c];h.tile.featureIndex&&u.push(h.tile.featureIndex.query({queryGeometry:h.queryGeometry,scale:h.scale,tileSize:h.tile.tileSize,bearing:s,params:a},e))}return i(u)},r.source=function(t,e){for(var r=t.getRenderableIds().map(function(e){return t.getTileByID(e)}),n=[],i={},o=0;o<r.length;o++){var s=r[o],l=new a(Math.min(s.sourceMaxZoom,s.coord.z),s.coord.x,s.coord.y,0).id;i[l]||(i[l]=!0,s.querySourceFeatures(n,e))}return n}},{\"./tile_coord\":351}],347:[function(t,e,r){\"use strict\";function n(t,e,r){this.id=t,this.dispatcher=r,i.extend(this,i.pick(e,[\"url\",\"scheme\",\"tileSize\"])),s(e,function(t,e){if(t)return this.fire(\"error\",t);i.extend(this,e),this.fire(\"load\")}.bind(this))}var i=t(\"../util/util\"),a=t(\"../util/ajax\"),o=t(\"../util/evented\"),s=t(\"./load_tilejson\"),l=t(\"../util/mapbox\").normalizeTileURL;e.exports=n,n.prototype=i.inherit(o,{minzoom:0,maxzoom:22,roundZoom:!0,scheme:\"xyz\",tileSize:512,_loaded:!1,onAdd:function(t){this.map=t},serialize:function(){return{type:\"raster\",url:this.url,tileSize:this.tileSize}},loadTile:function(t,e){function r(r,n){if(delete t.request,!t.aborted){if(r)return e(r);var i=this.map.painter.gl;t.texture=this.map.painter.getTexture(n.width),t.texture?(i.bindTexture(i.TEXTURE_2D,t.texture),i.texSubImage2D(i.TEXTURE_2D,0,0,0,i.RGBA,i.UNSIGNED_BYTE,n)):(t.texture=i.createTexture(),i.bindTexture(i.TEXTURE_2D,t.texture),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MIN_FILTER,i.LINEAR_MIPMAP_NEAREST),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MAG_FILTER,i.LINEAR),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_S,i.CLAMP_TO_EDGE),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_T,i.CLAMP_TO_EDGE),i.pixelStorei(i.UNPACK_PREMULTIPLY_ALPHA_WEBGL,!0),i.texImage2D(i.TEXTURE_2D,0,i.RGBA,i.RGBA,i.UNSIGNED_BYTE,n),t.texture.size=n.width),i.generateMipmap(i.TEXTURE_2D),this.map.animationLoop.set(this.map.style.rasterFadeDuration),t.state=\"loaded\",e(null)}}var n=l(t.coord.url(this.tiles,null,this.scheme),this.url,this.tileSize);t.request=a.getImage(n,r.bind(this))},abortTile:function(t){t.request&&(t.request.abort(),delete t.request)},unloadTile:function(t){t.texture&&this.map.painter.saveTexture(t.texture)}})},{\"../util/ajax\":407,\"../util/evented\":416,\"../util/mapbox\":421,\"../util/util\":424,\"./load_tilejson\":344}],348:[function(t,e,r){\"use strict\";var n=t(\"../util/util\"),i={vector:t(\"../source/vector_tile_source\"),raster:t(\"../source/raster_tile_source\"),geojson:t(\"../source/geojson_source\"),video:t(\"../source/video_source\"),image:t(\"../source/image_source\")};r.create=function(t,e,r){if(e=new i[e.type](t,e,r),e.id!==t)throw new Error(\"Expected Source id to be \"+t+\" instead of \"+e.id);return n.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],e),e},r.getType=function(t){return i[t]},r.setType=function(t,e){i[t]=e}},{\"../source/geojson_source\":340,\"../source/image_source\":343,\"../source/raster_tile_source\":347,\"../source/vector_tile_source\":352,\"../source/video_source\":354,\"../util/util\":424}],349:[function(t,e,r){\"use strict\";function n(t,e,r){this.id=t,this.dispatcher=r;var n=this._source=o.create(t,e,r).on(\"load\",function(){this.map&&this._source.onAdd&&this._source.onAdd(this.map),this._sourceLoaded=!0,this.tileSize=n.tileSize,this.minzoom=n.minzoom,this.maxzoom=n.maxzoom,this.roundZoom=n.roundZoom,this.reparseOverscaled=n.reparseOverscaled,this.isTileClipped=n.isTileClipped,this.attribution=n.attribution,this.vectorLayerIds=n.vectorLayerIds,this.fire(\"load\")}.bind(this)).on(\"error\",function(t){this._sourceErrored=!0,this.fire(\"error\",t)}.bind(this)).on(\"change\",function(){this.reload(),this.transform&&this.update(this.transform,this.map&&this.map.style.rasterFadeDuration),this.fire(\"change\")}.bind(this));this._tiles={},this._cache=new c(0,this.unloadTile.bind(this)),this._isIdRenderable=this._isIdRenderable.bind(this)}function i(t,e,r){var n=r.zoomTo(Math.min(t.z,e));return{x:(n.column-(t.x+t.w*Math.pow(2,t.z)))*d,y:(n.row-t.y)*d}}function a(t,e){return t%32-e%32}var o=t(\"./source\"),s=t(\"./tile\"),l=t(\"../util/evented\"),u=t(\"./tile_coord\"),c=t(\"../util/lru_cache\"),h=t(\"../geo/coordinate\"),f=t(\"../util/util\"),d=t(\"../data/bucket\").EXTENT;e.exports=n,n.maxOverzooming=10,n.maxUnderzooming=3,n.prototype=f.inherit(l,{onAdd:function(t){this.map=t,this._source&&this._source.onAdd&&this._source.onAdd(t)},loaded:function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},getSource:function(){return this._source},loadTile:function(t,e){return this._source.loadTile(t,e)},unloadTile:function(t){if(this._source.unloadTile)return this._source.unloadTile(t)},abortTile:function(t){if(this._source.abortTile)return this._source.abortTile(t)},serialize:function(){return this._source.serialize()},prepare:function(){if(this._sourceLoaded&&this._source.prepare)return this._source.prepare()},getIds:function(){return Object.keys(this._tiles).map(Number).sort(a)},getRenderableIds:function(){return this.getIds().filter(this._isIdRenderable)},_isIdRenderable:function(t){return this._tiles[t].isRenderable()&&!this._coveredTiles[t]},reload:function(){this._cache.reset();for(var t in this._tiles){var e=this._tiles[t];\"loading\"!==e.state&&(e.state=\"reloading\"),this.loadTile(this._tiles[t],this._tileLoaded.bind(this,this._tiles[t]))}},_tileLoaded:function(t,e){if(e)return t.state=\"errored\",this.fire(\"tile.error\",{tile:t,error:e}),void this._source.fire(\"tile.error\",{tile:t,error:e});t.source=this,t.timeAdded=(new Date).getTime(),this.fire(\"tile.load\",{tile:t}),this._source.fire(\"tile.load\",{tile:t})},getTile:function(t){return this.getTileByID(t.id)},getTileByID:function(t){return this._tiles[t]},getZoom:function(t){return t.zoom+t.scaleZoom(t.tileSize/this.tileSize)},findLoadedChildren:function(t,e,r){var n=!1;for(var i in this._tiles){var a=this._tiles[i];if(!(r[i]||!a.isRenderable()||a.coord.z<=t.z||a.coord.z>e)){var o=Math.pow(2,Math.min(a.coord.z,this.maxzoom)-Math.min(t.z,this.maxzoom));if(Math.floor(a.coord.x/o)===t.x&&Math.floor(a.coord.y/o)===t.y)for(r[i]=!0,n=!0;a&&a.coord.z-1>t.z;){var s=a.coord.parent(this.maxzoom).id;a=this._tiles[s],a&&a.isRenderable()&&(delete r[i],r[s]=!0)}}}return n},findLoadedParent:function(t,e,r){for(var n=t.z-1;n>=e;n--){t=t.parent(this.maxzoom);var i=this._tiles[t.id];if(i&&i.isRenderable())return r[t.id]=!0,i;if(this._cache.has(t.id))return this.addTile(t),r[t.id]=!0,this._tiles[t.id]}},updateCacheSize:function(t){var e=Math.ceil(t.width/t.tileSize)+1,r=Math.ceil(t.height/t.tileSize)+1,n=e*r;this._cache.setMaxSize(Math.floor(5*n))},update:function(t,e){if(this._sourceLoaded){var r,i,a;this.updateCacheSize(t);var o=(this.roundZoom?Math.round:Math.floor)(this.getZoom(t)),s=Math.max(o-n.maxOverzooming,this.minzoom),l=Math.max(o+n.maxUnderzooming,this.minzoom),c={},h=(new Date).getTime();this._coveredTiles={};var d=this.used?t.coveringTiles(this._source):[];for(r=0;r<d.length;r++)i=d[r],a=this.addTile(i),c[i.id]=!0,a.isRenderable()||this.findLoadedChildren(i,l,c)||this.findLoadedParent(i,s,c);for(var p={},m=Object.keys(c),g=0;g<m.length;g++){var v=m[g];i=u.fromID(v),a=this._tiles[v],a&&a.timeAdded>h-(e||0)&&(this.findLoadedChildren(i,l,c)&&(c[v]=!0),this.findLoadedParent(i,s,p))}var y;for(y in p)c[y]||(this._coveredTiles[y]=!0);for(y in p)c[y]=!0;var b=f.keysDifference(this._tiles,c);for(r=0;r<b.length;r++)this.removeTile(+b[r]);this.transform=t}},addTile:function(t){var e=this._tiles[t.id];if(e)return e;var r=t.wrapped();if(e=this._tiles[r.id],e||(e=this._cache.get(r.id))&&this._redoPlacement&&this._redoPlacement(e),!e){var n=t.z,i=n>this.maxzoom?Math.pow(2,n-this.maxzoom):1;e=new s(r,this.tileSize*i,this.maxzoom),this.loadTile(e,this._tileLoaded.bind(this,e))}return e.uses++,this._tiles[t.id]=e,this.fire(\"tile.add\",{tile:e}),this._source.fire(\"tile.add\",{tile:e}),e},removeTile:function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this.fire(\"tile.remove\",{tile:e}),this._source.fire(\"tile.remove\",{tile:e}),e.uses>0||(e.isRenderable()?this._cache.add(e.coord.wrapped().id,e):(e.aborted=!0,this.abortTile(e),this.unloadTile(e))))},clearTiles:function(){for(var t in this._tiles)this.removeTile(t);this._cache.reset()},tilesIn:function(t){for(var e={},r=this.getIds(),n=1/0,a=1/0,o=-1/0,s=-1/0,l=t[0].zoom,c=0;c<t.length;c++){var f=t[c];n=Math.min(n,f.column),a=Math.min(a,f.row),o=Math.max(o,f.column),s=Math.max(s,f.row)}for(var p=0;p<r.length;p++){var m=this._tiles[r[p]],g=u.fromID(r[p]),v=[i(g,m.sourceMaxZoom,new h(n,a,l)),i(g,m.sourceMaxZoom,new h(o,s,l))];if(v[0].x<d&&v[0].y<d&&v[1].x>=0&&v[1].y>=0){for(var y=[],b=0;b<t.length;b++)y.push(i(g,m.sourceMaxZoom,t[b]));var x=e[m.coord.id];void 0===x&&(x=e[m.coord.id]={tile:m,coord:g,queryGeometry:[],scale:Math.pow(2,this.transform.zoom-m.coord.z)}),x.queryGeometry.push(y)}}var _=[];for(var w in e)_.push(e[w]);return _},redoPlacement:function(){for(var t=this.getIds(),e=0;e<t.length;e++){this.getTileByID(t[e]).redoPlacement(this)}},getVisibleCoordinates:function(){return this.getRenderableIds().map(u.fromID)}})},{\"../data/bucket\":311,\"../geo/coordinate\":320,\"../util/evented\":416,\"../util/lru_cache\":420,\"../util/util\":424,\"./source\":348,\"./tile\":350,\"./tile_coord\":351}],350:[function(t,e,r){\"use strict\";function n(t,e,r){this.coord=t,this.uid=a.uniqueId(),this.uses=0,this.tileSize=e,this.sourceMaxZoom=r,this.buckets={},this.state=\"loading\"}function i(t,e){if(e){for(var r={},n=0;n<t.length;n++){var i=e.getLayer(t[n].layerId);if(i){var s=o.create(a.extend({layer:i,childLayers:t[n].childLayerIds.map(e.getLayer.bind(e)).filter(function(t){return t})},t[n]));r[s.id]=s}}return r}}var a=t(\"../util/util\"),o=t(\"../data/bucket\"),s=t(\"../data/feature_index\"),l=t(\"vector-tile\"),u=t(\"pbf\"),c=t(\"../util/vectortile_to_geojson\"),h=t(\"feature-filter\"),f=t(\"../symbol/collision_tile\"),d=t(\"../symbol/collision_box\"),p=t(\"../symbol/symbol_instances\"),m=t(\"../symbol/symbol_quads\");e.exports=n,n.prototype={loadVectorData:function(t,e){this.state=\"loaded\",t&&(this.collisionBoxArray=new d(t.collisionBoxArray),this.collisionTile=new f(t.collisionTile,this.collisionBoxArray),this.symbolInstancesArray=new p(t.symbolInstancesArray),this.symbolQuadsArray=new m(t.symbolQuadsArray),this.featureIndex=new s(t.featureIndex,t.rawTileData,this.collisionTile),this.rawTileData=t.rawTileData,this.buckets=i(t.buckets,e))},reloadSymbolData:function(t,e,r){if(\"unloaded\"!==this.state){this.collisionTile=new f(t.collisionTile,this.collisionBoxArray),this.featureIndex.setCollisionTile(this.collisionTile);for(var n in this.buckets){var o=this.buckets[n];\"symbol\"===o.type&&(o.destroy(e.gl),delete this.buckets[n])}a.extend(this.buckets,i(t.buckets,r))}},unloadVectorData:function(t){for(var e in this.buckets){this.buckets[e].destroy(t.gl)}this.collisionBoxArray=null,this.symbolQuadsArray=null,this.symbolInstancesArray=null,this.collisionTile=null,this.featureIndex=null,this.rawTileData=null,this.buckets=null,this.state=\"unloaded\"},redoPlacement:function(t){function e(e,r){this.reloadSymbolData(r,t.map.painter,t.map.style),t.fire(\"tile.load\",{tile:this}),this.state=\"loaded\",this.redoWhenDone&&(this.redoPlacement(t),this.redoWhenDone=!1)}if(\"loaded\"!==this.state||\"reloading\"===this.state)return void(this.redoWhenDone=!0);this.state=\"reloading\",t.dispatcher.send(\"redo placement\",{uid:this.uid,source:t.id,angle:t.map.transform.angle,pitch:t.map.transform.pitch,showCollisionBoxes:t.map.showCollisionBoxes},e.bind(this),this.workerID)},getBucket:function(t){return this.buckets&&this.buckets[t.ref||t.id]},querySourceFeatures:function(t,e){if(this.rawTileData){this.vtLayers||(this.vtLayers=new l.VectorTile(new u(new Uint8Array(this.rawTileData))).layers);var r=this.vtLayers._geojsonTileLayer||this.vtLayers[e.sourceLayer];if(r)for(var n=h(e.filter),i={z:this.coord.z,x:this.coord.x,y:this.coord.y},a=0;a<r.length;a++){var o=r.feature(a);if(n(o)){var s=new c(o,this.coord.z,this.coord.x,this.coord.y);s.tile=i,t.push(s)}}}},isRenderable:function(){return\"loaded\"===this.state||\"reloading\"===this.state}}},{\"../data/bucket\":311,\"../data/feature_index\":318,\"../symbol/collision_box\":376,\"../symbol/collision_tile\":378,\"../symbol/symbol_instances\":387,\"../symbol/symbol_quads\":388,\"../util/util\":424,\"../util/vectortile_to_geojson\":425,\"feature-filter\":117,pbf:459,\"vector-tile\":530}],351:[function(t,e,r){\"use strict\";function n(t,e,r,n){l(!isNaN(t)&&t>=0&&t%1==0),l(!isNaN(e)&&e>=0&&e%1==0),l(!isNaN(r)&&r>=0&&r%1==0),isNaN(n)&&(n=0),this.z=+t,this.x=+e,this.y=+r,this.w=+n,(n*=2)<0&&(n=n*-1-1);var i=1<<this.z;this.id=32*(i*i*n+i*this.y+this.x)+this.z,this.posMatrix=null}function i(t,e,r){for(var n,i=\"\",a=t;a>0;a--)n=1<<a-1,i+=(e&n?1:0)+(r&n?2:0);return i}function a(t,e){if(t.row>e.row){var r=t;t=e,e=r}return{x0:t.column,y0:t.row,x1:e.column,y1:e.row,dx:e.column-t.column,dy:e.row-t.row}}function o(t,e,r,n,i){var a=Math.max(r,Math.floor(e.y0)),o=Math.min(n,Math.ceil(e.y1));if(t.x0===e.x0&&t.y0===e.y0?t.x0+e.dy/t.dy*t.dx<e.x1:t.x1-e.dy/t.dy*t.dx<e.x0){var s=t;t=e,e=s}for(var l=t.dx/t.dy,u=e.dx/e.dy,c=t.dx>0,h=e.dx<0,f=a;f<o;f++){var d=l*Math.max(0,Math.min(t.dy,f+c-t.y0))+t.x0,p=u*Math.max(0,Math.min(e.dy,f+h-e.y0))+e.x0;i(Math.floor(p),Math.ceil(d),f)}}function s(t,e,r,n,i,s){var l,u=a(t,e),c=a(e,r),h=a(r,t);u.dy>c.dy&&(l=u,u=c,c=l),u.dy>h.dy&&(l=u,u=h,h=l),c.dy>h.dy&&(l=c,c=h,h=l),u.dy&&o(h,u,n,i,s),c.dy&&o(h,c,n,i,s)}var l=t(\"assert\"),u=t(\"whoots-js\"),c=t(\"../geo/coordinate\");e.exports=n,n.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y},n.prototype.toCoordinate=function(t){var e=Math.min(this.z,t),r=Math.pow(2,e),n=this.y,i=this.x+r*this.w;return new c(i,n,e)},n.fromID=function(t){var e=t%32,r=1<<e,i=(t-e)/32,a=i%r,o=(i-a)/r%r,s=Math.floor(i/(r*r));return s%2!=0&&(s=s*-1-1),s/=2,new n(e,a,o,s)},n.prototype.url=function(t,e,r){var n=u.getTileBBox(this.x,this.y,this.z),a=i(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",Math.min(this.z,e||this.z)).replace(\"{x}\",this.x).replace(\"{y}\",\"tms\"===r?Math.pow(2,this.z)-this.y-1:this.y).replace(\"{quadkey}\",a).replace(\"{bbox-epsg-3857}\",n)},n.prototype.parent=function(t){return 0===this.z?null:this.z>t?new n(this.z-1,this.x,this.y,this.w):new n(this.z-1,Math.floor(this.x/2),Math.floor(this.y/2),this.w)},n.prototype.wrapped=function(){return new n(this.z,this.x,this.y,0)},n.prototype.children=function(t){if(this.z>=t)return[new n(this.z+1,this.x,this.y,this.w)];var e=this.z+1,r=2*this.x,i=2*this.y;return[new n(e,r,i,this.w),new n(e,r+1,i,this.w),new n(e,r,i+1,this.w),new n(e,r+1,i+1,this.w)]},n.cover=function(t,e,r){function i(t,e,i){var s,l,u;if(i>=0&&i<=a)for(s=t;s<e;s++)l=(s%a+a)%a,u=new n(r,l,i,Math.floor(s/a)),o[u.id]=u}var a=1<<t,o={};return s(e[0],e[1],e[2],0,a,i),s(e[2],e[3],e[0],0,a,i),Object.keys(o).map(function(t){return o[t]})}},{\"../geo/coordinate\":320,assert:40,\"whoots-js\":546}],352:[function(t,e,r){\"use strict\";function n(t,e,r){if(this.id=t,this.dispatcher=r,a.extend(this,a.pick(e,[\"url\",\"scheme\",\"tileSize\"])),this._options=a.extend({type:\"vector\"},e),512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");o(e,function(t,e){if(t)return void this.fire(\"error\",t);a.extend(this,e),this.fire(\"load\")}.bind(this))}var i=t(\"../util/evented\"),a=t(\"../util/util\"),o=t(\"./load_tilejson\"),s=t(\"../util/mapbox\").normalizeTileURL;e.exports=n,n.prototype=a.inherit(i,{minzoom:0,maxzoom:22,scheme:\"xyz\",tileSize:512,reparseOverscaled:!0,isTileClipped:!0,onAdd:function(t){this.map=t},serialize:function(){return a.extend({},this._options)},loadTile:function(t,e){function r(r,n){if(!t.aborted){if(r)return e(r);t.loadVectorData(n,this.map.style),t.redoWhenDone&&(t.redoWhenDone=!1,t.redoPlacement(this)),e(null),t.reloadCallback&&(this.loadTile(t,t.reloadCallback),t.reloadCallback=null)}}var n=t.coord.z>this.maxzoom?Math.pow(2,t.coord.z-this.maxzoom):1,i={url:s(t.coord.url(this.tiles,this.maxzoom,this.scheme),this.url),uid:t.uid,coord:t.coord,zoom:t.coord.z,tileSize:this.tileSize*n,source:this.id,overscaling:n,angle:this.map.transform.angle,pitch:this.map.transform.pitch,showCollisionBoxes:this.map.showCollisionBoxes};t.workerID?\"loading\"===t.state?t.reloadCallback=e:(i.rawTileData=t.rawTileData,this.dispatcher.send(\"reload tile\",i,r.bind(this),t.workerID)):t.workerID=this.dispatcher.send(\"load tile\",i,r.bind(this))},abortTile:function(t){this.dispatcher.send(\"abort tile\",{uid:t.uid,source:this.id},null,t.workerID)},unloadTile:function(t){t.unloadVectorData(this.map.painter),this.dispatcher.send(\"remove tile\",{uid:t.uid,source:this.id},null,t.workerID)}})},{\"../util/evented\":416,\"../util/mapbox\":421,\"../util/util\":424,\"./load_tilejson\":344}],353:[function(t,e,r){\"use strict\";function n(t,e,r){this.actor=t,this.styleLayers=e,r&&(this.loadVectorData=r),this.loading={},this.loaded={}}var i=t(\"../util/ajax\"),a=t(\"vector-tile\"),o=t(\"pbf\"),s=t(\"./worker_tile\");e.exports=n,n.prototype={loadTile:function(t,e){function r(t,r){return delete this.loading[n][i],t?e(t):r?(a.data=r.tile,a.parse(a.data,this.styleLayers.getLayerFamilies(),this.actor,r.rawTileData,e),this.loaded[n]=this.loaded[n]||{},void(this.loaded[n][i]=a)):e(null,null)}var n=t.source,i=t.uid;this.loading[n]||(this.loading[n]={});var a=this.loading[n][i]=new s(t);a.abort=this.loadVectorData(t,r.bind(this))},reloadTile:function(t,e){var r=this.loaded[t.source],n=t.uid;if(r&&r[n]){var i=r[n];i.parse(i.data,this.styleLayers.getLayerFamilies(),this.actor,t.rawTileData,e)}},abortTile:function(t){var e=this.loading[t.source],r=t.uid;e&&e[r]&&e[r].abort&&(e[r].abort(),delete e[r])},removeTile:function(t){var e=this.loaded[t.source],r=t.uid;e&&e[r]&&delete e[r]},loadVectorData:function(t,e){function r(t,r){if(t)return e(t);var n=new a.VectorTile(new o(new Uint8Array(r)));e(t,{tile:n,rawTileData:r})}var n=i.getArrayBuffer(t.url,r.bind(this));return function(){n.abort()}},redoPlacement:function(t,e){var r=this.loaded[t.source],n=this.loading[t.source],i=t.uid;if(r&&r[i]){var a=r[i],o=a.redoPlacement(t.angle,t.pitch,t.showCollisionBoxes);o.result&&e(null,o.result,o.transferables)}else n&&n[i]&&(n[i].angle=t.angle)}}},{\"../util/ajax\":407,\"./worker_tile\":356,pbf:459,\"vector-tile\":530}],354:[function(t,e,r){\"use strict\";function n(t,e){this.id=t,this.urls=e.urls,this.coordinates=e.coordinates,u.getVideo(e.urls,function(t,r){if(t)return this.fire(\"error\",{error:t});this.video=r,this.video.loop=!0;var n;this.video.addEventListener(\"playing\",function(){n=this.map.style.animationLoop.set(1/0),this.map._rerender()}.bind(this)),this.video.addEventListener(\"pause\",function(){this.map.style.animationLoop.cancel(n)}.bind(this)),this.map&&(this.video.play(),this.setCoordinates(e.coordinates)),this.fire(\"load\")}.bind(this))}var i=t(\"../util/util\"),a=t(\"./tile_coord\"),o=t(\"../geo/lng_lat\"),s=t(\"point-geometry\"),l=t(\"../util/evented\"),u=t(\"../util/ajax\"),c=t(\"../data/bucket\").EXTENT,h=t(\"../render/draw_raster\").RasterBoundsArray,f=t(\"../data/buffer\"),d=t(\"../render/vertex_array_object\");e.exports=n,n.prototype=i.inherit(l,{minzoom:0,maxzoom:22,tileSize:512,roundZoom:!0,getVideo:function(){return this.video},onAdd:function(t){this.map||(this.map=t,this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},setCoordinates:function(t){this.coordinates=t;var e=this.map,r=t.map(function(t){return e.transform.locationCoordinate(o.convert(t)).zoomTo(0)}),n=this.centerCoord=i.getCoordinatesCenter(r);return n.column=Math.round(n.column),n.row=Math.round(n.row),this.minzoom=this.maxzoom=n.zoom,this._coord=new a(n.zoom,n.column,n.row),this._tileCoords=r.map(function(t){var e=t.zoomTo(n.zoom);return new s(Math.round((e.column-n.column)*c),Math.round((e.row-n.row)*c))}),this.fire(\"change\"),this},_setTile:function(t){this._prepared=!1,this.tile=t;var e=new h;e.emplaceBack(this._tileCoords[0].x,this._tileCoords[0].y,0,0),e.emplaceBack(this._tileCoords[1].x,this._tileCoords[1].y,32767,0),e.emplaceBack(this._tileCoords[3].x,this._tileCoords[3].y,0,32767),e.emplaceBack(this._tileCoords[2].x,this._tileCoords[2].y,32767,32767),this.tile.buckets={},this.tile.boundsBuffer=new f(e.serialize(),h.serialize(),f.BufferType.VERTEX),this.tile.boundsVAO=new d,this.tile.state=\"loaded\"},prepare:function(){if(!(this.video.readyState<2)&&this.tile){var t=this.map.painter.gl;this._prepared?(t.bindTexture(t.TEXTURE_2D,this.tile.texture),t.texSubImage2D(t.TEXTURE_2D,0,0,0,t.RGBA,t.UNSIGNED_BYTE,this.video)):(this._prepared=!0,this.tile.texture=t.createTexture(),t.bindTexture(t.TEXTURE_2D,this.tile.texture),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.LINEAR),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.LINEAR),t.texImage2D(t.TEXTURE_2D,0,t.RGBA,t.RGBA,t.UNSIGNED_BYTE,this.video)),this._currentTime=this.video.currentTime}},loadTile:function(t,e){this._coord&&this._coord.toString()===t.coord.toString()?(this._setTile(t),e(null)):(t.state=\"errored\",e(null))},serialize:function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}}})},{\"../data/bucket\":311,\"../data/buffer\":316,\"../geo/lng_lat\":321,\"../render/draw_raster\":333,\"../render/vertex_array_object\":339,\"../util/ajax\":407,\"../util/evented\":416,\"../util/util\":424,\"./tile_coord\":351,\"point-geometry\":465}],355:[function(t,e,r){\"use strict\";function n(t){this.self=t,this.actor=new a(t,this);var e={getLayers:function(){return this.layers}.bind(this),getLayerFamilies:function(){return this.layerFamilies}.bind(this)};this.workerSources={vector:new l(this.actor,e),geojson:new u(this.actor,e)},this.self.registerWorkerSource=function(t,r){if(this.workerSources[t])throw new Error('Worker source with name \"'+t+'\" already registered.');this.workerSources[t]=new r(this.actor,e)}.bind(this)}function i(t){var e={};for(var r in t){var n=t[r],i=n.ref||n.id,a=t[i];a.layout&&\"none\"===a.layout.visibility||(e[i]=e[i]||[],r===i?e[i].unshift(n):e[i].push(n))}return e}var a=t(\"../util/actor\"),o=t(\"../style/style_layer\"),s=t(\"../util/util\"),l=t(\"./vector_tile_worker_source\"),u=t(\"./geojson_worker_source\");e.exports=function(t){return new n(t)},s.extend(n.prototype,{\"set layers\":function(t){function e(t){var e=o.create(t,t.ref&&r.layers[t.ref]);e.updatePaintTransitions({},{transition:!1}),r.layers[e.id]=e}this.layers={};for(var r=this,n=[],a=0;a<t.length;a++){var s=t[a];\"fill\"!==s.type&&\"line\"!==s.type&&\"circle\"!==s.type&&\"symbol\"!==s.type||(s.ref?n.push(a):e(s))}for(var l=0;l<n.length;l++)e(t[n[l]]);this.layerFamilies=i(this.layers)},\"update layers\":function(t){function e(t){var e=a.layers[t.ref];a.layers[t.id]?a.layers[t.id].set(t,e):a.layers[t.id]=o.create(t,e),a.layers[t.id].updatePaintTransitions({},{transition:!1})}var r,n,a=this;for(r in t)n=t[r],n.ref&&e(n);for(r in t)n=t[r],n.ref||e(n);this.layerFamilies=i(this.layers)},\"load tile\":function(t,e){var r=t.type||\"vector\";this.workerSources[r].loadTile(t,e)},\"reload tile\":function(t,e){var r=t.type||\"vector\";this.workerSources[r].reloadTile(t,e)},\"abort tile\":function(t){var e=t.type||\"vector\";this.workerSources[e].abortTile(t)},\"remove tile\":function(t){var e=t.type||\"vector\";this.workerSources[e].removeTile(t)},\"redo placement\":function(t,e){var r=t.type||\"vector\";this.workerSources[r].redoPlacement(t,e)},\"load worker source\":function(t,e){try{this.self.importScripts(t.url),e()}catch(t){e(t)}}})},{\"../style/style_layer\":363,\"../util/actor\":406,\"../util/util\":424,\"./geojson_worker_source\":341,\"./vector_tile_worker_source\":353}],356:[function(t,e,r){\"use strict\";function n(t){this.coord=t.coord,this.uid=t.uid,this.zoom=t.zoom,this.tileSize=t.tileSize,this.source=t.source,this.overscaling=t.overscaling,this.angle=t.angle,this.pitch=t.pitch,this.showCollisionBoxes=t.showCollisionBoxes}function i(t){return!t.isEmpty()}function a(t){return t.serialize()}function o(t){var e=[];for(var r in t)t[r].getTransferables(e);return e}function s(t){return t.id}var l=t(\"../data/feature_index\"),u=t(\"../symbol/collision_tile\"),c=t(\"../data/bucket\"),h=t(\"../symbol/collision_box\"),f=t(\"../util/dictionary_coder\"),d=t(\"../util/util\"),p=t(\"../symbol/symbol_instances\"),m=t(\"../symbol/symbol_quads\");e.exports=n,n.prototype.parse=function(t,e,r,n,g){function v(t,e){for(var r=0;r<t.length;r++){var n=t.feature(r);n.index=r;for(var i in e)e[i].filter(n)&&e[i].features.push(n)}}function y(t){if(t)return g(t);if(2===++N){for(var e=P.length-1;e>=0;e--)b(E,P[e]);x()}}function b(t,e){if(e.populateArrays(A,F,R),\"symbol\"!==e.type)for(var r=0;r<e.features.length;r++){var n=e.features[r]\n",
       ";T.insert(n,n.index,e.sourceLayerIndex,e.index)}e.features=null}function x(){E.status=\"done\",E.redoPlacementAfterDone&&(E.redoPlacement(E.angle,E.pitch,null),E.redoPlacementAfterDone=!1);var t=T.serialize(),e=A.serialize(),r=E.collisionBoxArray.serialize(),s=E.symbolInstancesArray.serialize(),l=E.symbolQuadsArray.serialize(),u=[n].concat(t.transferables).concat(e.transferables),c=I.filter(i);g(null,{buckets:c.map(a),featureIndex:t.data,collisionTile:e.data,collisionBoxArray:r,symbolInstancesArray:s,symbolQuadsArray:l,rawTileData:n},o(c).concat(u))}this.status=\"parsing\",this.data=t,this.collisionBoxArray=new h,this.symbolInstancesArray=new p,this.symbolQuadsArray=new m;var _,w,M,k,A=new u(this.angle,this.pitch,this.collisionBoxArray),T=new l(this.coord,this.overscaling,A,t.layers),S=new f(t.layers?Object.keys(t.layers).sort():[\"_geojsonTileLayer\"]),E=this,L={},C={},z=0;for(var D in e)w=e[D][0],w.source===this.source&&(w.ref||w.minzoom&&this.zoom<w.minzoom||w.maxzoom&&this.zoom>=w.maxzoom||w.layout&&\"none\"===w.layout.visibility||t.layers&&!t.layers[w.sourceLayer]||(k=c.create({layer:w,index:z++,childLayers:e[D],zoom:this.zoom,overscaling:this.overscaling,showCollisionBoxes:this.showCollisionBoxes,collisionBoxArray:this.collisionBoxArray,symbolQuadsArray:this.symbolQuadsArray,symbolInstancesArray:this.symbolInstancesArray,sourceLayerIndex:S.encode(w.sourceLayer||\"_geojsonTileLayer\")}),k.createFilter(),L[w.id]=k,t.layers&&(M=w.sourceLayer,C[M]=C[M]||{},C[M][w.id]=k)));if(t.layers)for(M in C)1===w.version&&d.warnOnce('Vector tile source \"'+this.source+'\" layer \"'+M+'\" does not use vector tile spec v2 and therefore may have some rendering errors.'),(w=t.layers[M])&&v(w,C[M]);else v(t,L);var I=[],P=this.symbolBuckets=[],O=[];T.bucketLayerIDs={};for(var j in L)k=L[j],0!==k.features.length&&(T.bucketLayerIDs[k.index]=k.childLayers.map(s),I.push(k),\"symbol\"===k.type?P.push(k):O.push(k));var R={},F={},N=0;if(P.length>0){for(_=P.length-1;_>=0;_--)P[_].updateIcons(R),P[_].updateFont(F);for(var B in F)F[B]=Object.keys(F[B]).map(Number);R=Object.keys(R),r.send(\"get glyphs\",{uid:this.uid,stacks:F},function(t,e){F=e,y(t)}),R.length?r.send(\"get icons\",{icons:R},function(t,e){R=e,y(t)}):y()}for(_=O.length-1;_>=0;_--)b(this,O[_]);if(0===P.length)return x()},n.prototype.redoPlacement=function(t,e,r){if(\"done\"!==this.status)return this.redoPlacementAfterDone=!0,this.angle=t,{};for(var n=new u(t,e,this.collisionBoxArray),s=this.symbolBuckets,l=s.length-1;l>=0;l--)s[l].placeFeatures(n,r);var c=n.serialize(),h=s.filter(i);return{result:{buckets:h.map(a),collisionTile:c.data},transferables:o(h).concat(c.transferables)}}},{\"../data/bucket\":311,\"../data/feature_index\":318,\"../symbol/collision_box\":376,\"../symbol/collision_tile\":378,\"../symbol/symbol_instances\":387,\"../symbol/symbol_quads\":388,\"../util/dictionary_coder\":414,\"../util/util\":424}],357:[function(t,e,r){\"use strict\";function n(){this.n=0,this.times=[]}e.exports=n,n.prototype.stopped=function(){return this.times=this.times.filter(function(t){return t.time>=(new Date).getTime()}),!this.times.length},n.prototype.set=function(t){return this.times.push({id:this.n,time:t+(new Date).getTime()}),this.n++},n.prototype.cancel=function(t){this.times=this.times.filter(function(e){return e.id!==t})}},{}],358:[function(t,e,r){\"use strict\";function n(t){this.base=t,this.retina=s.devicePixelRatio>1;var e=this.retina?\"@2x\":\"\";o.getJSON(l(t,e,\".json\"),function(t,e){if(t)return void this.fire(\"error\",{error:t});this.data=e,this.img&&this.fire(\"load\")}.bind(this)),o.getImage(l(t,e,\".png\"),function(t,e){if(t)return void this.fire(\"error\",{error:t});for(var r=e.getData(),n=e.data=new Uint8Array(r.length),i=0;i<r.length;i+=4){var a=r[i+3]/255;n[i+0]=r[i+0]*a,n[i+1]=r[i+1]*a,n[i+2]=r[i+2]*a,n[i+3]=r[i+3]}this.img=e,this.data&&this.fire(\"load\")}.bind(this))}function i(){}var a=t(\"../util/evented\"),o=t(\"../util/ajax\"),s=t(\"../util/browser\"),l=t(\"../util/mapbox\").normalizeSpriteURL;e.exports=n,n.prototype=Object.create(a),n.prototype.toJSON=function(){return this.base},n.prototype.loaded=function(){return!(!this.data||!this.img)},n.prototype.resize=function(){if(s.devicePixelRatio>1!==this.retina){var t=new n(this.base);t.on(\"load\",function(){this.img=t.img,this.data=t.data,this.retina=t.retina}.bind(this))}},i.prototype={x:0,y:0,width:0,height:0,pixelRatio:1,sdf:!1},n.prototype.getSpritePosition=function(t){if(!this.loaded())return new i;var e=this.data&&this.data[t];return e&&this.img?e:new i}},{\"../util/ajax\":407,\"../util/browser\":408,\"../util/evented\":416,\"../util/mapbox\":421}],359:[function(t,e,r){\"use strict\";var n=t(\"csscolorparser\").parseCSSColor,i=t(\"../util/util\"),a=t(\"./style_function\"),o={};e.exports=function t(e){if(a.isFunctionDefinition(e))return i.extend({},e,{stops:e.stops.map(function(e){return[e[0],t(e[1])]})});if(\"string\"==typeof e){if(!o[e]){var r=n(e);if(!r)throw new Error(\"Invalid color \"+e);o[e]=[r[0]/255*r[3],r[1]/255*r[3],r[2]/255*r[3],r[3]]}return o[e]}throw new Error(\"Invalid color \"+e)}},{\"../util/util\":424,\"./style_function\":362,csscolorparser:101}],360:[function(t,e,r){\"use strict\";function n(t,e,r){this.animationLoop=e||new m,this.dispatcher=new p(r||1,this),this.spriteAtlas=new l(1024,1024),this.lineAtlas=new u(256,512),this._layers={},this._order=[],this._groups=[],this.sources={},this.zoomHistory={},c.bindAll([\"_forwardSourceEvent\",\"_forwardTileEvent\",\"_forwardLayerEvent\",\"_redoPlacement\"],this),this._resetUpdates();var n=function(t,e){if(t)return void this.fire(\"error\",{error:t});if(!g.emitErrors(this,g(e))){this._loaded=!0,this.stylesheet=e,this.updateClasses();var r=e.sources;for(var n in r)this.addSource(n,r[n]);e.sprite&&(this.sprite=new o(e.sprite),this.sprite.on(\"load\",this.fire.bind(this,\"change\"))),this.glyphSource=new s(e.glyphs),this._resolve(),this.fire(\"load\")}}.bind(this);\"string\"==typeof t?h.getJSON(f(t),n):d.frame(n.bind(this,null,t)),this.on(\"source.load\",function(t){var e=t.source;if(e&&e.vectorLayerIds)for(var r in this._layers){var n=this._layers[r];n.source===e.id&&this._validateLayer(n)}})}var i=t(\"../util/evented\"),a=t(\"./style_layer\"),o=t(\"./image_sprite\"),s=t(\"../symbol/glyph_source\"),l=t(\"../symbol/sprite_atlas\"),u=t(\"../render/line_atlas\"),c=t(\"../util/util\"),h=t(\"../util/ajax\"),f=t(\"../util/mapbox\").normalizeStyleURL,d=t(\"../util/browser\"),p=t(\"../util/dispatcher\"),m=t(\"./animation_loop\"),g=t(\"./validate_style\"),v=t(\"../source/source\"),y=t(\"../source/query_features\"),b=t(\"../source/source_cache\"),x=t(\"./style_spec\"),_=t(\"./style_function\");e.exports=n,n.prototype=c.inherit(i,{_loaded:!1,_validateLayer:function(t){var e=this.sources[t.source];t.sourceLayer&&e&&e.vectorLayerIds&&e.vectorLayerIds.indexOf(t.sourceLayer)===-1&&this.fire(\"error\",{error:new Error('Source layer \"'+t.sourceLayer+'\" does not exist on source \"'+e.id+'\" as specified by style layer \"'+t.id+'\"')})},loaded:function(){if(!this._loaded)return!1;if(Object.keys(this._updates.sources).length)return!1;for(var t in this.sources)if(!this.sources[t].loaded())return!1;return!(this.sprite&&!this.sprite.loaded())},_resolve:function(){var t,e;this._layers={},this._order=this.stylesheet.layers.map(function(t){return t.id});for(var r=0;r<this.stylesheet.layers.length;r++)e=this.stylesheet.layers[r],e.ref||(t=a.create(e),this._layers[t.id]=t,t.on(\"error\",this._forwardLayerEvent));for(var n=0;n<this.stylesheet.layers.length;n++)if(e=this.stylesheet.layers[n],e.ref){var i=this.getLayer(e.ref);t=a.create(e,i),this._layers[t.id]=t,t.on(\"error\",this._forwardLayerEvent)}this._groupLayers(),this._updateWorkerLayers()},_groupLayers:function(){var t;this._groups=[];for(var e=0;e<this._order.length;++e){var r=this._layers[this._order[e]];t&&r.source===t.source||(t=[],t.source=r.source,this._groups.push(t)),t.push(r)}},_updateWorkerLayers:function(t){this.dispatcher.broadcast(t?\"update layers\":\"set layers\",this._serializeLayers(t))},_serializeLayers:function(t){t=t||this._order;for(var e=[],r={includeRefProperties:!0},n=0;n<t.length;n++)e.push(this._layers[t[n]].serialize(r));return e},_applyClasses:function(t,e){if(this._loaded){t=t||[],e=e||{transition:!0};var r=this.stylesheet.transition||{},n=this._updates.allPaintProps?this._layers:this._updates.paintProps;for(var i in n){var a=this._layers[i],o=this._updates.paintProps[i];if(this._updates.allPaintProps||o.all)a.updatePaintTransitions(t,e,r,this.animationLoop);else for(var s in o)this._layers[i].updatePaintTransition(s,t,e,r,this.animationLoop)}}},_recalculate:function(t){for(var e in this.sources)this.sources[e].used=!1;this._updateZoomHistory(t),this.rasterFadeDuration=300;for(var r in this._layers){var n=this._layers[r];n.recalculate(t,this.zoomHistory),!n.isHidden(t)&&n.source&&(this.sources[n.source].used=!0)}Math.floor(this.z)!==Math.floor(t)&&this.animationLoop.set(300),this.z=t,this.fire(\"zoom\")},_updateZoomHistory:function(t){var e=this.zoomHistory;void 0===e.lastIntegerZoom&&(e.lastIntegerZoom=Math.floor(t),e.lastIntegerZoomTime=0,e.lastZoom=t),Math.floor(e.lastZoom)<Math.floor(t)?(e.lastIntegerZoom=Math.floor(t),e.lastIntegerZoomTime=Date.now()):Math.floor(e.lastZoom)>Math.floor(t)&&(e.lastIntegerZoom=Math.floor(t+1),e.lastIntegerZoomTime=Date.now()),e.lastZoom=t},_checkLoaded:function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},update:function(t,e){if(!this._updates.changed)return this;if(this._updates.allLayers)this._groupLayers(),this._updateWorkerLayers();else{var r=Object.keys(this._updates.layers);r.length&&this._updateWorkerLayers(r)}var n,i=Object.keys(this._updates.sources);for(n=0;n<i.length;n++)this._reloadSource(i[n]);for(n=0;n<this._updates.events.length;n++){var a=this._updates.events[n];this.fire(a[0],a[1])}return this._applyClasses(t,e),this._updates.changed&&this.fire(\"change\"),this._resetUpdates(),this},_resetUpdates:function(){this._updates={events:[],layers:{},sources:{},paintProps:{}}},addSource:function(t,e){if(this._checkLoaded(),void 0!==this.sources[t])throw new Error(\"There is already a source with this ID\");if(!e.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(e)+\".\");return[\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(e.type)>=0&&this._handleErrors(g.source,\"sources.\"+t,e)?this:(e=new b(t,e,this.dispatcher),this.sources[t]=e,e.style=this,e.on(\"load\",this._forwardSourceEvent).on(\"error\",this._forwardSourceEvent).on(\"change\",this._forwardSourceEvent).on(\"tile.add\",this._forwardTileEvent).on(\"tile.load\",this._forwardTileEvent).on(\"tile.error\",this._forwardTileEvent).on(\"tile.remove\",this._forwardTileEvent).on(\"tile.stats\",this._forwardTileEvent),this._updates.events.push([\"source.add\",{source:e}]),this._updates.changed=!0,this)},removeSource:function(t){if(this._checkLoaded(),void 0===this.sources[t])throw new Error(\"There is no source with this ID\");var e=this.sources[t];return delete this.sources[t],delete this._updates.sources[t],e.off(\"load\",this._forwardSourceEvent).off(\"error\",this._forwardSourceEvent).off(\"change\",this._forwardSourceEvent).off(\"tile.add\",this._forwardTileEvent).off(\"tile.load\",this._forwardTileEvent).off(\"tile.error\",this._forwardTileEvent).off(\"tile.remove\",this._forwardTileEvent).off(\"tile.stats\",this._forwardTileEvent),this._updates.events.push([\"source.remove\",{source:e}]),this._updates.changed=!0,this},getSource:function(t){return this.sources[t]&&this.sources[t].getSource()},addLayer:function(t,e){if(this._checkLoaded(),!(t instanceof a)){if(this._handleErrors(g.layer,\"layers.\"+t.id,t,!1,{arrayIndex:-1}))return this;var r=t.ref&&this.getLayer(t.ref);t=a.create(t,r)}return this._validateLayer(t),t.on(\"error\",this._forwardLayerEvent),this._layers[t.id]=t,this._order.splice(e?this._order.indexOf(e):1/0,0,t.id),this._updates.allLayers=!0,t.source&&(this._updates.sources[t.source]=!0),this._updates.events.push([\"layer.add\",{layer:t}]),this.updateClasses(t.id)},removeLayer:function(t){this._checkLoaded();var e=this._layers[t];if(void 0===e)throw new Error(\"There is no layer with this ID\");for(var r in this._layers)this._layers[r].ref===t&&this.removeLayer(r);return e.off(\"error\",this._forwardLayerEvent),delete this._layers[t],delete this._updates.layers[t],delete this._updates.paintProps[t],this._order.splice(this._order.indexOf(t),1),this._updates.allLayers=!0,this._updates.events.push([\"layer.remove\",{layer:e}]),this._updates.changed=!0,this},getLayer:function(t){return this._layers[t]},getReferentLayer:function(t){var e=this.getLayer(t);return e.ref&&(e=this.getLayer(e.ref)),e},setLayerZoomRange:function(t,e,r){this._checkLoaded();var n=this.getReferentLayer(t);return n.minzoom===e&&n.maxzoom===r?this:(null!=e&&(n.minzoom=e),null!=r&&(n.maxzoom=r),this._updateLayer(n))},setFilter:function(t,e){this._checkLoaded();var r=this.getReferentLayer(t);return null!==e&&this._handleErrors(g.filter,\"layers.\"+r.id+\".filter\",e)?this:c.deepEqual(r.filter,e)?this:(r.filter=c.clone(e),this._updateLayer(r))},getFilter:function(t){return this.getReferentLayer(t).filter},setLayoutProperty:function(t,e,r){this._checkLoaded();var n=this.getReferentLayer(t);return c.deepEqual(n.getLayoutProperty(e),r)?this:(n.setLayoutProperty(e,r),this._updateLayer(n))},getLayoutProperty:function(t,e){return this.getReferentLayer(t).getLayoutProperty(e)},setPaintProperty:function(t,e,r,n){this._checkLoaded();var i=this.getLayer(t);if(c.deepEqual(i.getPaintProperty(e,n),r))return this;var a=i.isPaintValueFeatureConstant(e);return i.setPaintProperty(e,r,n),!(r&&_.isFunctionDefinition(r)&&\"$zoom\"!==r.property&&void 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a=t(\"./style_function\"),o=t(\"./parse_color\"),s=t(\"../util/util\");e.exports=n},{\"../util/util\":424,\"./parse_color\":359,\"./style_function\":362}],362:[function(t,e,r){\"use strict\";var n=t(\"mapbox-gl-function\");r.interpolated=function(t){var e=n.interpolated(t),r=function(t,r){return e(t&&t.zoom,r||{})};return r.isFeatureConstant=e.isFeatureConstant,r.isZoomConstant=e.isZoomConstant,r},r[\"piecewise-constant\"]=function(t){var e=n[\"piecewise-constant\"](t),r=function(t,r){return e(t&&t.zoom,r||{})};return r.isFeatureConstant=e.isFeatureConstant,r.isZoomConstant=e.isZoomConstant,r},r.isFunctionDefinition=n.isFunctionDefinition},{\"mapbox-gl-function\":284}],363:[function(t,e,r){\"use strict\";function n(t,e){this.set(t,e)}function i(t){return t.value}var a=t(\"../util/util\"),o=t(\"./style_transition\"),s=t(\"./style_declaration\"),l=t(\"./style_spec\"),u=t(\"./validate_style\"),c=t(\"./parse_color\"),h=t(\"../util/evented\");e.exports=n;n.create=function(e,r){return 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n=\"layers.\"+this.id+(r?'[\"paint.'+r+'\"].':\".paint.\")+t;if(a.endsWith(t,\"-transition\"))if(this._paintTransitionOptions[r||\"\"]||(this._paintTransitionOptions[r||\"\"]={}),null===e||void 0===e)delete this._paintTransitionOptions[r||\"\"][t];else{if(this._handleErrors(u.paintProperty,n,t,e))return;this._paintTransitionOptions[r||\"\"][t]=e}else if(this._paintDeclarations[r||\"\"]||(this._paintDeclarations[r||\"\"]={}),null===e||void 0===e)delete this._paintDeclarations[r||\"\"][t];else{if(this._handleErrors(u.paintProperty,n,t,e))return;this._paintDeclarations[r||\"\"][t]=new s(this._paintSpecifications[t],e)}},getPaintProperty:function(t,e){return e=e||\"\",a.endsWith(t,\"-transition\")?this._paintTransitionOptions[e]&&this._paintTransitionOptions[e][t]:this._paintDeclarations[e]&&this._paintDeclarations[e][t]&&this._paintDeclarations[e][t].value},getPaintValue:function(t,e,r){var n=this._paintSpecifications[t],i=this._paintTransitions[t];return 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0===this.getPaintProperty(\"fill-outline-color\")?a.prototype.getPaintInterpolationT.call(this,\"fill-color\",e):a.prototype.getPaintInterpolationT.call(this,t,e)},isPaintValueFeatureConstant:function(t){return\"fill-outline-color\"===t&&void 0===this.getPaintProperty(\"fill-outline-color\")?a.prototype.isPaintValueFeatureConstant.call(this,\"fill-color\"):a.prototype.isPaintValueFeatureConstant.call(this,t)},isPaintValueZoomConstant:function(t){return\"fill-outline-color\"===t&&void 0===this.getPaintProperty(\"fill-outline-color\")?a.prototype.isPaintValueZoomConstant.call(this,\"fill-color\"):a.prototype.isPaintValueZoomConstant.call(this,t)}}),e.exports=n},{\"../../util/util\":424,\"../style_layer\":363}],367:[function(t,e,r){\"use strict\";function n(){a.apply(this,arguments)}var i=t(\"../../util/util\"),a=t(\"../style_layer\");e.exports=n,n.prototype=i.inherit(a,{getPaintValue:function(t,e,r){var n=a.prototype.getPaintValue.apply(this,arguments);if(n&&\"line-dasharray\"===t){var i=Math.floor(e.zoom);this._flooredZoom!==i&&(this._flooredZoom=i,this._flooredLineWidth=this.getPaintValue(\"line-width\",e,r)),n.fromScale*=this._flooredLineWidth,n.toScale*=this._flooredLineWidth}return n}})},{\"../../util/util\":424,\"../style_layer\":363}],368:[function(t,e,r){\"use strict\";function n(){a.apply(this,arguments)}var i=t(\"../../util/util\"),a=t(\"../style_layer\");e.exports=n,n.prototype=i.inherit(a,{})},{\"../../util/util\":424,\"../style_layer\":363}],369:[function(t,e,r){\"use strict\";function n(){a.apply(this,arguments)}var i=t(\"../../util/util\"),a=t(\"../style_layer\");e.exports=n,n.prototype=i.inherit(a,{isHidden:function(){if(a.prototype.isHidden.apply(this,arguments))return!0;var t=0===this.paint[\"text-opacity\"]||!this.layout[\"text-field\"],e=0===this.paint[\"icon-opacity\"]||!this.layout[\"icon-image\"];return!(!t||!e)},getLayoutValue:function(t,e,r){return(\"text-rotation-alignment\"!==t||\"line\"!==this.getLayoutValue(\"symbol-placement\",e,r)||this.getLayoutProperty(\"text-rotation-alignment\"))&&(\"icon-rotation-alignment\"!==t||\"line\"!==this.getLayoutValue(\"symbol-placement\",e,r)||this.getLayoutProperty(\"icon-rotation-alignment\"))?\"text-pitch-alignment\"!==t||this.getLayoutProperty(\"text-pitch-alignment\")?a.prototype.getLayoutValue.apply(this,arguments):this.getLayoutValue(\"text-rotation-alignment\"):\"map\"}})},{\"../../util/util\":424,\"../style_layer\":363}],370:[function(t,e,r){\"use strict\";e.exports=t(\"mapbox-gl-style-spec/reference/latest.min\")},{\"mapbox-gl-style-spec/reference/latest.min\":307}],371:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.declaration=e,this.startTime=this.endTime=(new 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r}},{\"../util/interpolate\":418,\"../util/util\":424}],372:[function(t,e,r){\"use strict\";e.exports=t(\"mapbox-gl-style-spec/lib/validate_style.min\"),e.exports.emitErrors=function(t,e){if(e&&e.length){for(var r=0;r<e.length;r++)t.fire(\"error\",{error:new Error(e[r].message)});return!0}return!1},e.exports.throwErrors=function(t,e){if(e)for(var r=0;r<e.length;r++)throw new Error(e[r].message)}},{\"mapbox-gl-style-spec/lib/validate_style.min\":306}],373:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.x=t,this.y=e,this.angle=r,void 0!==n&&(this.segment=n)}var i=t(\"point-geometry\");e.exports=n,n.prototype=Object.create(i.prototype),n.prototype.clone=function(){return new n(this.x,this.y,this.angle,this.segment)}},{\"point-geometry\":465}],374:[function(t,e,r){\"use strict\";function n(t,e,r,n,i){if(void 0===e.segment)return!0;for(var a=e,o=e.segment+1,s=0;s>-r/2;){if(--o<0)return!1;s-=t[o].dist(a),a=t[o]}s+=t[o].dist(t[o+1]),o++;for(var l=[],u=0;s<r/2;){var c=t[o-1],h=t[o],f=t[o+1];if(!f)return!1;var d=c.angleTo(h)-h.angleTo(f);for(d=Math.abs((d+3*Math.PI)%(2*Math.PI)-Math.PI),l.push({distance:s,angleDelta:d}),u+=d;s-l[0].distance>n;)u-=l.shift().angleDelta;if(u>i)return!1;o++,s+=h.dist(f)}return!0}e.exports=n},{}],375:[function(t,e,r){\"use strict\";function n(t,e,r,n,a){for(var o=[],s=0;s<t.length;s++)for(var l,u=t[s],c=0;c<u.length-1;c++){var h=u[c],f=u[c+1];h.x<e&&f.x<e||(h.x<e?h=new i(e,h.y+(f.y-h.y)*((e-h.x)/(f.x-h.x)))._round():f.x<e&&(f=new i(e,h.y+(f.y-h.y)*((e-h.x)/(f.x-h.x)))._round()),h.y<r&&f.y<r||(h.y<r?h=new i(h.x+(f.x-h.x)*((r-h.y)/(f.y-h.y)),r)._round():f.y<r&&(f=new i(h.x+(f.x-h.x)*((r-h.y)/(f.y-h.y)),r)._round()),h.x>=n&&f.x>=n||(h.x>=n?h=new i(n,h.y+(f.y-h.y)*((n-h.x)/(f.x-h.x)))._round():f.x>=n&&(f=new i(n,h.y+(f.y-h.y)*((n-h.x)/(f.x-h.x)))._round()),h.y>=a&&f.y>=a||(h.y>=a?h=new i(h.x+(f.x-h.x)*((a-h.y)/(f.y-h.y)),a)._round():f.y>=a&&(f=new i(h.x+(f.x-h.x)*((a-h.y)/(f.y-h.y)),a)._round()),l&&h.equals(l[l.length-1])||(l=[h],o.push(l)),l.push(f)))))}return o}var i=t(\"point-geometry\");e.exports=n},{\"point-geometry\":465}],376:[function(t,e,r){\n",
       "\"use strict\";var n=t(\"../util/struct_array\"),i=t(\"../util/util\"),a=t(\"point-geometry\"),o=e.exports=new n({members:[{type:\"Int16\",name:\"anchorPointX\"},{type:\"Int16\",name:\"anchorPointY\"},{type:\"Int16\",name:\"x1\"},{type:\"Int16\",name:\"y1\"},{type:\"Int16\",name:\"x2\"},{type:\"Int16\",name:\"y2\"},{type:\"Float32\",name:\"maxScale\"},{type:\"Uint32\",name:\"featureIndex\"},{type:\"Uint16\",name:\"sourceLayerIndex\"},{type:\"Uint16\",name:\"bucketIndex\"},{type:\"Int16\",name:\"bbox0\"},{type:\"Int16\",name:\"bbox1\"},{type:\"Int16\",name:\"bbox2\"},{type:\"Int16\",name:\"bbox3\"},{type:\"Float32\",name:\"placementScale\"}]});i.extendAll(o.prototype.StructType.prototype,{get anchorPoint(){return new a(this.anchorPointX,this.anchorPointY)}})},{\"../util/struct_array\":422,\"../util/util\":424,\"point-geometry\":465}],377:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s,l,u,c){var h=o.top*s-l,f=o.bottom*s+l,d=o.left*s-l,p=o.right*s+l;if(this.boxStartIndex=t.length,u){var m=f-h,g=p-d;if(m>0)if(m=Math.max(10*s,m),c){var v=e[r.segment+1].sub(e[r.segment])._unit()._mult(g),y=[r.sub(v),r.add(v)];this._addLineCollisionBoxes(t,y,r,0,g,m,n,i,a)}else this._addLineCollisionBoxes(t,e,r,r.segment,g,m,n,i,a)}else t.emplaceBack(r.x,r.y,d,h,p,f,1/0,n,i,a,0,0,0,0,0);this.boxEndIndex=t.length}e.exports=n,n.prototype._addLineCollisionBoxes=function(t,e,r,n,i,a,o,s,l){var u=a/2,c=Math.floor(i/u),h=-a/2,f=this.boxes,d=r,p=n+1,m=h;do{if(--p<0)return f;m-=e[p].dist(d),d=e[p]}while(m>-i/2);for(var g=e[p].dist(e[p+1]),v=0;v<c;v++){for(var y=-i/2+v*u;m+g<y;){if(m+=g,++p+1>=e.length)return f;g=e[p].dist(e[p+1])}var b=y-m,x=e[p],_=e[p+1],w=_.sub(x)._unit()._mult(b)._add(x)._round(),M=Math.max(Math.abs(y-h)-u/2,0),k=i/2/M;t.emplaceBack(w.x,w.y,-a/2,-a/2,a/2,a/2,k,o,s,l,0,0,0,0,0)}return f}},{}],378:[function(t,e,r){\"use strict\";function n(t,e,r){if(\"object\"==typeof t){var n=t;r=e,t=n.angle,e=n.pitch,this.grid=new o(n.grid),this.ignoredGrid=new o(n.ignoredGrid)}else this.grid=new o(a,12,6),this.ignoredGrid=new o(a,12,0);this.angle=t,this.pitch=e;var i=Math.sin(t),s=Math.cos(t);if(this.rotationMatrix=[s,-i,i,s],this.reverseRotationMatrix=[s,i,-i,s],this.yStretch=1/Math.cos(e/180*Math.PI),this.yStretch=Math.pow(this.yStretch,1.3),this.collisionBoxArray=r,0===r.length){r.emplaceBack();r.emplaceBack(0,0,0,-32767,0,32767,32767,0,0,0,0,0,0,0,0,0),r.emplaceBack(a,0,0,-32767,0,32767,32767,0,0,0,0,0,0,0,0,0),r.emplaceBack(0,0,-32767,0,32767,0,32767,0,0,0,0,0,0,0,0,0),r.emplaceBack(0,a,-32767,0,32767,0,32767,0,0,0,0,0,0,0,0,0)}this.tempCollisionBox=r.get(0),this.edges=[r.get(1),r.get(2),r.get(3),r.get(4)]}var i=t(\"point-geometry\"),a=t(\"../data/bucket\").EXTENT,o=t(\"grid-index\");e.exports=n,n.prototype.serialize=function(){var t={angle:this.angle,pitch:this.pitch,grid:this.grid.toArrayBuffer(),ignoredGrid:this.ignoredGrid.toArrayBuffer()};return{data:t,transferables:[t.grid,t.ignoredGrid]}},n.prototype.minScale=.25,n.prototype.maxScale=2,n.prototype.placeCollisionFeature=function(t,e,r){for(var n=this.collisionBoxArray,a=this.minScale,o=this.rotationMatrix,s=this.yStretch,l=t.boxStartIndex;l<t.boxEndIndex;l++){var u=n.get(l),c=u.anchorPoint._matMult(o),h=c.x,f=c.y,d=h+u.x1,p=f+u.y1*s,m=h+u.x2,g=f+u.y2*s;if(u.bbox0=d,u.bbox1=p,u.bbox2=m,u.bbox3=g,!e)for(var v=this.grid.query(d,p,m,g),y=0;y<v.length;y++){var b=n.get(v[y]),x=b.anchorPoint._matMult(o);if((a=this.getPlacementScale(a,c,u,x,b))>=this.maxScale)return a}if(r){var _;if(this.angle){var w=this.reverseRotationMatrix,M=new i(u.x1,u.y1).matMult(w),k=new i(u.x2,u.y1).matMult(w),A=new i(u.x1,u.y2).matMult(w),T=new i(u.x2,u.y2).matMult(w);_=this.tempCollisionBox,_.anchorPointX=u.anchorPoint.x,_.anchorPointY=u.anchorPoint.y,_.x1=Math.min(M.x,k.x,A.x,T.x),_.y1=Math.min(M.y,k.x,A.x,T.x),_.x2=Math.max(M.x,k.x,A.x,T.x),_.y2=Math.max(M.y,k.x,A.x,T.x),_.maxScale=u.maxScale}else _=u;for(var S=0;S<this.edges.length;S++){var E=this.edges[S];if((a=this.getPlacementScale(a,u.anchorPoint,_,E.anchorPoint,E))>=this.maxScale)return a}}}return a},n.prototype.queryRenderedSymbols=function(t,e,r,n,a){var o={},s=[],l=this.collisionBoxArray,u=this.rotationMatrix,c=new i(t,e)._matMult(u),h=this.tempCollisionBox;h.anchorX=c.x,h.anchorY=c.y,h.x1=0,h.y1=0,h.x2=r-t,h.y2=n-e,h.maxScale=a,a=h.maxScale;for(var f=[c.x+h.x1/a,c.y+h.y1/a*this.yStretch,c.x+h.x2/a,c.y+h.y2/a*this.yStretch],d=this.grid.query(f[0],f[1],f[2],f[3]),p=this.ignoredGrid.query(f[0],f[1],f[2],f[3]),m=0;m<p.length;m++)d.push(p[m]);for(var g=0;g<d.length;g++){var v=l.get(d[g]),y=v.sourceLayerIndex,b=v.featureIndex;if(void 0===o[y]&&(o[y]={}),!o[y][b]){var x=v.anchorPoint.matMult(u);this.getPlacementScale(this.minScale,c,h,x,v)>=a&&(o[y][b]=!0,s.push(d[g]))}}return s},n.prototype.getPlacementScale=function(t,e,r,n,i){var a=e.x-n.x,o=e.y-n.y,s=(i.x1-r.x2)/a,l=(i.x2-r.x1)/a,u=(i.y1-r.y2)*this.yStretch/o,c=(i.y2-r.y1)*this.yStretch/o;(isNaN(s)||isNaN(l))&&(s=l=1),(isNaN(u)||isNaN(c))&&(u=c=1);var h=Math.min(Math.max(s,l),Math.max(u,c)),f=i.maxScale,d=r.maxScale;return h>f&&(h=f),h>d&&(h=d),h>t&&h>=i.placementScale&&(t=h),t},n.prototype.insertCollisionFeature=function(t,e,r){for(var n=r?this.ignoredGrid:this.grid,i=this.collisionBoxArray,a=t.boxStartIndex;a<t.boxEndIndex;a++){var o=i.get(a);o.placementScale=e,e<this.maxScale&&n.insert(a,o.bbox0,o.bbox1,o.bbox2,o.bbox3)}}},{\"../data/bucket\":311,\"grid-index\":271,\"point-geometry\":465}],379:[function(t,e,r){\"use strict\";function n(t,e,r,n,a,o,s,l,u){var c=n?.6*o*s:0,h=Math.max(n?n.right-n.left:0,a?a.right-a.left:0),f=0===t[0].x||t[0].x===u||0===t[0].y||t[0].y===u;e-h*s<e/4&&(e=h*s+e/4);var d=2*o;return i(t,f?e/2*l%e:(h/2+d)*s*l%e,e,c,r,h*s,f,!1,u)}function i(t,e,r,n,l,u,c,h,f){for(var d=u/2,p=0,m=0;m<t.length-1;m++)p+=t[m].dist(t[m+1]);for(var g=0,v=e-r,y=[],b=0;b<t.length-1;b++){for(var x=t[b],_=t[b+1],w=x.dist(_),M=_.angleTo(x);v+r<g+w;){v+=r;var k=(v-g)/w,A=a(x.x,_.x,k),T=a(x.y,_.y,k);if(A>=0&&A<f&&T>=0&&T<f&&v-d>=0&&v+d<=p){var S=new o(A,T,M,b)._round();n&&!s(t,S,u,n,l)||y.push(S)}}g+=w}return h||y.length||c||(y=i(t,g/2,r,n,l,u,c,!0,f)),y}var a=t(\"../util/interpolate\"),o=t(\"../symbol/anchor\"),s=t(\"./check_max_angle\");e.exports=n},{\"../symbol/anchor\":373,\"../util/interpolate\":418,\"./check_max_angle\":374}],380:[function(t,e,r){\"use strict\";function n(){this.width=o,this.height=o,this.bin=new i(this.width,this.height),this.index={},this.ids={},this.data=new Uint8Array(this.width*this.height)}var i=t(\"shelf-pack\"),a=t(\"../util/util\"),o=128;e.exports=n,n.prototype.getGlyphs=function(){var t,e,r,n={};for(var i in this.ids)t=i.split(\"#\"),e=t[0],r=t[1],n[e]||(n[e]=[]),n[e].push(r);return n},n.prototype.getRects=function(){var t,e,r,n={};for(var i in this.ids)t=i.split(\"#\"),e=t[0],r=t[1],n[e]||(n[e]={}),n[e][r]=this.index[i];return n},n.prototype.addGlyph=function(t,e,r,n){if(!r)return null;var i=e+\"#\"+r.id;if(this.index[i])return this.ids[i].indexOf(t)<0&&this.ids[i].push(t),this.index[i];if(!r.bitmap)return null;var o=r.width+2*n,s=r.height+2*n,l=o+2,u=s+2;l+=4-l%4,u+=4-u%4;var c=this.bin.packOne(l,u);if(c||(this.resize(),c=this.bin.packOne(l,u)),!c)return a.warnOnce(\"glyph bitmap overflow\"),null;this.index[i]=c,this.ids[i]=[t];for(var h=this.data,f=r.bitmap,d=0;d<s;d++)for(var p=this.width*(c.y+d+1)+c.x+1,m=o*d,g=0;g<o;g++)h[p+g]=f[m+g];return this.dirty=!0,c},n.prototype.resize=function(){var t=this.width,e=this.height;if(!(t>=2048||e>=2048)){this.texture&&(this.gl&&this.gl.deleteTexture(this.texture),this.texture=null),this.width*=4,this.height*=4,this.bin.resize(this.width,this.height);for(var r=new ArrayBuffer(this.width*this.height),n=0;n<e;n++){var i=new Uint8Array(this.data.buffer,e*n,t);new Uint8Array(r,e*n*4,t).set(i)}this.data=new Uint8Array(r)}},n.prototype.bind=function(t){this.gl=t,this.texture?t.bindTexture(t.TEXTURE_2D,this.texture):(this.texture=t.createTexture(),t.bindTexture(t.TEXTURE_2D,this.texture),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.LINEAR),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.LINEAR),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),t.texImage2D(t.TEXTURE_2D,0,t.ALPHA,this.width,this.height,0,t.ALPHA,t.UNSIGNED_BYTE,null))},n.prototype.updateTexture=function(t){this.bind(t),this.dirty&&(t.texSubImage2D(t.TEXTURE_2D,0,0,0,this.width,this.height,t.ALPHA,t.UNSIGNED_BYTE,this.data),this.dirty=!1)}},{\"../util/util\":424,\"shelf-pack\":495}],381:[function(t,e,r){\"use strict\";function n(t){this.url=t&&o(t),this.atlases={},this.stacks={},this.loading={}}function i(t,e,r){this.advance=t.advance,this.left=t.left-r-1,this.top=t.top+r+1,this.rect=e}function a(t,e,r,n){return n=n||\"abc\",r.replace(\"{s}\",n[t.length%n.length]).replace(\"{fontstack}\",t).replace(\"{range}\",e)}var o=t(\"../util/mapbox\").normalizeGlyphsURL,s=t(\"../util/ajax\").getArrayBuffer,l=t(\"../util/glyphs\"),u=t(\"../symbol/glyph_atlas\"),c=t(\"pbf\");e.exports=n,n.prototype.getSimpleGlyphs=function(t,e,r,n){void 0===this.stacks[t]&&(this.stacks[t]={}),void 0===this.atlases[t]&&(this.atlases[t]=new u);for(var a,o={},s=this.stacks[t],l=this.atlases[t],c={},h=0,f=0;f<e.length;f++){var d=e[f];if(a=Math.floor(d/256),s[a]){var p=s[a].glyphs[d],m=l.addGlyph(r,t,p,3);p&&(o[d]=new i(p,m,3))}else void 0===c[a]&&(c[a]=[],h++),c[a].push(d)}h||n(void 0,o,t);var g=function(e,a,s){if(!e)for(var u=this.stacks[t][a]=s.stacks[0],f=0;f<c[a].length;f++){var d=c[a][f],p=u.glyphs[d],m=l.addGlyph(r,t,p,3);p&&(o[d]=new i(p,m,3))}--h||n(void 0,o,t)}.bind(this);for(var v in c)this.loadRange(t,v,g)},n.prototype.loadRange=function(t,e,r){if(256*e>65535)return r(\"glyphs > 65535 not supported\");void 0===this.loading[t]&&(this.loading[t]={});var n=this.loading[t];if(n[e])n[e].push(r);else{n[e]=[r];var i=256*e+\"-\"+(256*e+255),o=a(t,i,this.url);s(o,function(t,r){for(var i=!t&&new l(new c(new Uint8Array(r))),a=0;a<n[e].length;a++)n[e][a](t,e,i);delete n[e]})}},n.prototype.getGlyphAtlas=function(t){return this.atlases[t]}},{\"../symbol/glyph_atlas\":380,\"../util/ajax\":407,\"../util/glyphs\":417,\"../util/mapbox\":421,pbf:459}],382:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){function n(n){c.push(t[n]),h.push(r[n]),f.push(e[n]),d++}function i(t,e,r){var n=u[t];return delete u[t],u[e]=n,h[n][0].pop(),h[n][0]=h[n][0].concat(r[0]),n}function a(t,e,r){var n=l[e];return delete l[e],l[t]=n,h[n][0].shift(),h[n][0]=r[0].concat(h[n][0]),n}function o(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}var s,l={},u={},c=[],h=[],f=[],d=0;for(s=0;s<t.length;s++){var p=r[s],m=e[s];if(m){var g=o(m,p),v=o(m,p,!0);if(g in u&&v in l&&u[g]!==l[v]){var y=a(g,v,p),b=i(g,v,h[y]);delete l[g],delete u[v],u[o(m,h[b],!0)]=b,h[y]=null}else g in u?i(g,v,p):v in l?a(g,v,p):(n(s),l[g]=d-1,u[v]=d-1)}else n(s)}return{features:c,textFeatures:f,geometries:h}}},{}],383:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s,l,u){this.anchorPoint=t,this.tl=e,this.tr=r,this.bl=n,this.br=i,this.tex=a,this.anchorAngle=o,this.glyphAngle=s,this.minScale=l,this.maxScale=u}function i(t,e,r,i,a,o,u,c,h){var f,d,p,m,g=e.image.rect,v=a.layout,y=e.left-1,b=y+g.w/e.image.pixelRatio,x=e.top-1,_=x+g.h/e.image.pixelRatio;if(\"none\"!==v[\"icon-text-fit\"]&&u){var w=b-y,M=_-x,k=v[\"text-size\"]/24,A=u.left*k,T=u.right*k,S=u.top*k,E=u.bottom*k,L=T-A,C=E-S,z=v[\"icon-text-fit-padding\"][0],D=v[\"icon-text-fit-padding\"][1],I=v[\"icon-text-fit-padding\"][2],P=v[\"icon-text-fit-padding\"][3],O=\"width\"===v[\"icon-text-fit\"]?.5*(C-M):0,j=\"height\"===v[\"icon-text-fit\"]?.5*(L-w):0,R=\"width\"===v[\"icon-text-fit\"]||\"both\"===v[\"icon-text-fit\"]?L:w,F=\"height\"===v[\"icon-text-fit\"]||\"both\"===v[\"icon-text-fit\"]?C:M;f=new s(A+j-P,S+O-z),d=new s(A+j+D+R,S+O-z),p=new s(A+j+D+R,S+O+I+F),m=new s(A+j-P,S+O+I+F)}else f=new s(y,x),d=new s(b,x),p=new s(b,_),m=new s(y,_);var N=a.getLayoutValue(\"icon-rotate\",c,h)*Math.PI/180;if(o){var B=i[t.segment];if(t.y===B.y&&t.x===B.x&&t.segment+1<i.length){var U=i[t.segment+1];N+=Math.atan2(t.y-U.y,t.x-U.x)+Math.PI}else N+=Math.atan2(t.y-B.y,t.x-B.x)}if(N){var V=Math.sin(N),H=Math.cos(N),q=[H,-V,V,H];f=f.matMult(q),d=d.matMult(q),m=m.matMult(q),p=p.matMult(q)}return[new n(new s(t.x,t.y),f,d,m,p,e.image.rect,0,0,l,1/0)]}function a(t,e,r,i,a,u){for(var c=a.layout[\"text-rotate\"]*Math.PI/180,h=a.layout[\"text-keep-upright\"],f=e.positionedGlyphs,d=[],p=0;p<f.length;p++){var m=f[p],g=m.glyph,v=g.rect;if(v){var y,b=(m.x+g.advance/2)*r,x=l;u?(y=[],x=o(y,t,b,i,t.segment,!0),h&&(x=Math.min(x,o(y,t,b,i,t.segment,!1)))):y=[{anchorPoint:new s(t.x,t.y),offset:0,angle:0,maxScale:1/0,minScale:l}];for(var _=m.x+g.left,w=m.y-g.top,M=_+v.w,k=w+v.h,A=new s(_,w),T=new s(M,w),S=new s(_,k),E=new s(M,k),L=0;L<y.length;L++){var C=y[L],z=A,D=T,I=S,P=E;if(c){var O=Math.sin(c),j=Math.cos(c),R=[j,-O,O,j];z=z.matMult(R),D=D.matMult(R),I=I.matMult(R),P=P.matMult(R)}var F=Math.max(C.minScale,x),N=(t.angle+C.offset+2*Math.PI)%(2*Math.PI),B=(C.angle+C.offset+2*Math.PI)%(2*Math.PI);d.push(new n(C.anchorPoint,z,D,I,P,v,N,B,F,C.maxScale))}}}return d}function o(t,e,r,n,i,a){var o=!a;r<0&&(a=!a),a&&i++;var u=new s(e.x,e.y),c=n[i],h=1/0;r=Math.abs(r);for(var f=l;;){var d=u.dist(c),p=r/d,m=Math.atan2(c.y-u.y,c.x-u.x);if(a||(m+=Math.PI),t.push({anchorPoint:u,offset:o?Math.PI:0,minScale:p,maxScale:h,angle:(m+2*Math.PI)%(2*Math.PI)}),p<=f)break;for(u=c;u.equals(c);)if(i+=a?1:-1,!(c=n[i]))return p;var g=c.sub(u)._unit();u=u.sub(g._mult(d)),h=p}return f}var s=t(\"point-geometry\");e.exports={getIconQuads:i,getGlyphQuads:a,SymbolQuad:n};var l=.5},{\"point-geometry\":465}],384:[function(t,e,r){\"use strict\";function n(t,e,r){for(var n=[],a=0,o=t.length;a<o;a++){var s=i(t[a].properties,e[\"text-field\"]);if(s){s=s.toString();var l=e[\"text-transform\"];\"uppercase\"===l?s=s.toLocaleUpperCase():\"lowercase\"===l&&(s=s.toLocaleLowerCase());for(var u=0;u<s.length;u++)r[s.charCodeAt(u)]=!0;n[a]=s}else n[a]=null}return n}var i=t(\"../util/token\");e.exports=n},{\"../util/token\":423}],385:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.codePoint=t,this.x=e,this.y=r,this.glyph=n}function i(t,e,r,n,i,a){this.positionedGlyphs=t,this.text=e,this.top=r,this.bottom=n,this.left=i,this.right=a}function a(t,e,r,a,s,l,u,c,h){for(var f=[],d=new i(f,t,h[1],h[1],h[0],h[0]),p=0,m=0;m<t.length;m++){var g=t.charCodeAt(m),v=e[g];v&&(f.push(new n(g,p,-17,v)),p+=v.advance+c)}return!!f.length&&(o(d,e,a,r,s,l,u,h),d)}function o(t,e,r,n,i,a,o,u){var c=null,d=0,p=0,m=0,g=0,v=t.positionedGlyphs;if(n)for(var y=0;y<v.length;y++){var b=v[y];if(b.x-=d,b.y+=r*m,b.x>n&&null!==c){var x=v[c+1].x;g=Math.max(x,g);for(var _=c+1;_<=y;_++)v[_].y+=r,v[_].x-=x;if(o){var w=c;h[v[c].codePoint]&&w--,s(v,e,p,w,o)}p=c+1,c=null,d+=x,m++}f[b.codePoint]&&(c=y)}var M=v[v.length-1],k=M.x+e[M.codePoint].advance;g=Math.max(g,k);var A=(m+1)*r;s(v,e,p,v.length-1,o),l(v,o,i,a,g,r,m,u),t.top+=-a*A,t.bottom=t.top+A,t.left+=-i*g,t.right=t.left+g}function s(t,e,r,n,i){for(var a=e[t[n].codePoint].advance,o=(t[n].x+a)*i,s=r;s<=n;s++)t[s].x-=o}function l(t,e,r,n,i,a,o,s){for(var l=(e-r)*i+s[0],u=(-n*(o+1)+.5)*a+s[1],c=0;c<t.length;c++)t[c].x+=l,t[c].y+=u}function u(t,e){if(!t||!t.rect)return null;var r=e[\"icon-offset\"][0],n=e[\"icon-offset\"][1],i=r-t.width/2,a=i+t.width,o=n-t.height/2;return new c(t,o,o+t.height,i,a)}function c(t,e,r,n,i){this.image=t,this.top=e,this.bottom=r,this.left=n,this.right=i}e.exports={shapeText:a,shapeIcon:u};var h={32:!0,8203:!0},f={32:!0,38:!0,43:!0,45:!0,47:!0,173:!0,183:!0,8203:!0,8208:!0,8211:!0}},{}],386:[function(t,e,r){\"use strict\";function n(t,e){this.width=t,this.height=e,this.bin=new o(t,e),this.images={},this.data=!1,this.texture=0,this.filter=0,this.pixelRatio=1,this.dirty=!0}function i(t,e,r,n,i,a,o,s,l,u,c){var h,f,d=n*e+r,p=s*a+o;if(c)for(p-=a,f=-1;f<=u;f++,d=((f+u)%u+n)*e+r,p+=a)for(h=-1;h<=l;h++)i[p+h]=t[d+(h+l)%l];else for(f=0;f<u;f++,d+=e,p+=a)for(h=0;h<l;h++)i[p+h]=t[d+h]}function a(t,e,r,n,i){this.rect=t,this.width=e,this.height=r,this.sdf=n,this.pixelRatio=i}var o=t(\"shelf-pack\"),s=t(\"../util/browser\"),l=t(\"../util/util\");e.exports=n,n.prototype.allocateImage=function(t,e){t/=this.pixelRatio,e/=this.pixelRatio;var r=t+2+(4-(t+2)%4),n=e+2+(4-(e+2)%4),i=this.bin.packOne(r,n);return i||(l.warnOnce(\"SpriteAtlas out of space.\"),null)},n.prototype.getImage=function(t,e){if(this.images[t])return this.images[t];if(!this.sprite)return null;var r=this.sprite.getSpritePosition(t);if(!r.width||!r.height)return null;var n=this.allocateImage(r.width,r.height);if(!n)return null;var i=new a(n,r.width/r.pixelRatio,r.height/r.pixelRatio,r.sdf,r.pixelRatio/this.pixelRatio);return this.images[t]=i,this.copy(n,r,e),i},n.prototype.getPosition=function(t,e){var r=this.getImage(t,e),n=r&&r.rect;if(!n)return null;var i=r.width*r.pixelRatio,a=r.height*r.pixelRatio;return{size:[r.width,r.height],tl:[(n.x+1)/this.width,(n.y+1)/this.height],br:[(n.x+1+i)/this.width,(n.y+1+a)/this.height]}},n.prototype.allocate=function(){if(!this.data){var t=Math.floor(this.width*this.pixelRatio),e=Math.floor(this.height*this.pixelRatio);this.data=new Uint32Array(t*e);for(var r=0;r<this.data.length;r++)this.data[r]=0}},n.prototype.copy=function(t,e,r){if(this.sprite.img.data){var n=new Uint32Array(this.sprite.img.data.buffer);this.allocate();var a=this.data;i(n,this.sprite.img.width,e.x,e.y,a,this.width*this.pixelRatio,(t.x+1)*this.pixelRatio,(t.y+1)*this.pixelRatio,e.width,e.height,r),this.dirty=!0}},n.prototype.setSprite=function(t){t&&(this.pixelRatio=s.devicePixelRatio>1?2:1,this.canvas&&(this.canvas.width=this.width*this.pixelRatio,this.canvas.height=this.height*this.pixelRatio)),this.sprite=t},n.prototype.addIcons=function(t,e){for(var r=0;r<t.length;r++)this.getImage(t[r]);e(null,this.images)},n.prototype.bind=function(t,e){var r=!1;this.texture?t.bindTexture(t.TEXTURE_2D,this.texture):(this.texture=t.createTexture(),t.bindTexture(t.TEXTURE_2D,this.texture),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),r=!0);var n=e?t.LINEAR:t.NEAREST;n!==this.filter&&(t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,n),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,n),this.filter=n),this.dirty&&(this.allocate(),r?t.texImage2D(t.TEXTURE_2D,0,t.RGBA,this.width*this.pixelRatio,this.height*this.pixelRatio,0,t.RGBA,t.UNSIGNED_BYTE,new Uint8Array(this.data.buffer)):t.texSubImage2D(t.TEXTURE_2D,0,0,0,this.width*this.pixelRatio,this.height*this.pixelRatio,t.RGBA,t.UNSIGNED_BYTE,new Uint8Array(this.data.buffer)),this.dirty=!1)}},{\"../util/browser\":408,\"../util/util\":424,\"shelf-pack\":495}],387:[function(t,e,r){\"use strict\";var n=t(\"../util/struct_array\"),i=t(\"../util/util\"),a=t(\"point-geometry\"),o=e.exports=new n({members:[{type:\"Uint16\",name:\"textBoxStartIndex\"},{type:\"Uint16\",name:\"textBoxEndIndex\"},{type:\"Uint16\",name:\"iconBoxStartIndex\"},{type:\"Uint16\",name:\"iconBoxEndIndex\"},{type:\"Uint16\",name:\"glyphQuadStartIndex\"},{type:\"Uint16\",name:\"glyphQuadEndIndex\"},{type:\"Uint16\",name:\"iconQuadStartIndex\"},{type:\"Uint16\",name:\"iconQuadEndIndex\"},{type:\"Int16\",name:\"anchorPointX\"},{type:\"Int16\",name:\"anchorPointY\"},{type:\"Int8\",name:\"index\"}]});i.extendAll(o.prototype.StructType.prototype,{get anchorPoint(){return new a(this.anchorPointX,this.anchorPointY)}})},{\"../util/struct_array\":422,\"../util/util\":424,\"point-geometry\":465}],388:[function(t,e,r){\"use strict\";var n=t(\"../util/struct_array\"),i=t(\"../util/util\"),a=t(\"point-geometry\"),o=t(\"./quads\").SymbolQuad,s=e.exports=new n({members:[{type:\"Int16\",name:\"anchorPointX\"},{type:\"Int16\",name:\"anchorPointY\"},{type:\"Float32\",name:\"tlX\"},{type:\"Float32\",name:\"tlY\"},{type:\"Float32\",name:\"trX\"},{type:\"Float32\",name:\"trY\"},{type:\"Float32\",name:\"blX\"},{type:\"Float32\",name:\"blY\"},{type:\"Float32\",name:\"brX\"},{type:\"Float32\",name:\"brY\"},{type:\"Int16\",name:\"texH\"},{type:\"Int16\",name:\"texW\"},{type:\"Int16\",name:\"texX\"},{type:\"Int16\",name:\"texY\"},{type:\"Float32\",name:\"anchorAngle\"},{type:\"Float32\",name:\"glyphAngle\"},{type:\"Float32\",name:\"maxScale\"},{type:\"Float32\",name:\"minScale\"}]});i.extendAll(s.prototype.StructType.prototype,{get anchorPoint(){return new a(this.anchorPointX,this.anchorPointY)},get SymbolQuad(){return new o(this.anchorPoint,new a(this.tlX,this.tlY),new a(this.trX,this.trY),new a(this.blX,this.blY),new a(this.brX,this.brY),{x:this.texX,y:this.texY,h:this.texH,w:this.texW,height:this.texH,width:this.texW},this.anchorAngle,this.glyphAngle,this.minScale,this.maxScale)}})},{\"../util/struct_array\":422,\"../util/util\":424,\"./quads\":383,\"point-geometry\":465}],389:[function(t,e,r){\"use strict\";var n=t(\"../util/dom\"),i=t(\"point-geometry\"),a={scrollZoom:t(\"./handler/scroll_zoom\"),boxZoom:t(\"./handler/box_zoom\"),dragRotate:t(\"./handler/drag_rotate\"),dragPan:t(\"./handler/drag_pan\"),keyboard:t(\"./handler/keyboard\"),doubleClickZoom:t(\"./handler/dblclick_zoom\"),touchZoomRotate:t(\"./handler/touch_zoom_rotate\")};e.exports=function(t,e){function r(t){v(\"mouseout\",t)}function o(e){t.stop(),_=n.mousePos(b,e),v(\"mousedown\",e)}function s(e){var r=t.dragRotate&&t.dragRotate.isActive();x&&!r&&v(\"contextmenu\",x),x=null,v(\"mouseup\",e)}function l(e){if(!(t.dragPan&&t.dragPan.isActive()||t.dragRotate&&t.dragRotate.isActive())){for(var r=e.toElement||e.target;r&&r!==b;)r=r.parentNode;r===b&&v(\"mousemove\",e)}}function u(e){t.stop(),y(\"touchstart\",e),!e.touches||e.touches.length>1||(w?(clearTimeout(w),w=null,v(\"dblclick\",e)):w=setTimeout(d,300))}function c(t){y(\"touchmove\",t)}function h(t){y(\"touchend\",t)}function f(t){y(\"touchcancel\",t)}function d(){w=null}function p(t){n.mousePos(b,t).equals(_)&&v(\"click\",t)}function m(t){v(\"dblclick\",t),t.preventDefault()}function g(t){x=t,t.preventDefault()}function v(e,r){var i=n.mousePos(b,r);return t.fire(e,{lngLat:t.unproject(i),point:i,originalEvent:r})}function y(e,r){var a=n.touchPos(b,r),o=a.reduce(function(t,e,r,n){return t.add(e.div(n.length))},new i(0,0));return t.fire(e,{lngLat:t.unproject(o),point:o,lngLats:a.map(function(e){return t.unproject(e)},this),points:a,originalEvent:r})}var b=t.getCanvasContainer(),x=null,_=null,w=null;for(var M in a)t[M]=new a[M](t,e),e.interactive&&e[M]&&t[M].enable();b.addEventListener(\"mouseout\",r,!1),b.addEventListener(\"mousedown\",o,!1),b.addEventListener(\"mouseup\",s,!1),b.addEventListener(\"mousemove\",l,!1),b.addEventListener(\"touchstart\",u,!1),b.addEventListener(\"touchend\",h,!1),b.addEventListener(\"touchmove\",c,!1),b.addEventListener(\"touchcancel\",f,!1),b.addEventListener(\"click\",p,!1),b.addEventListener(\"dblclick\",m,!1),b.addEventListener(\"contextmenu\",g,!1)}},{\"../util/dom\":410,\"./handler/box_zoom\":395,\"./handler/dblclick_zoom\":396,\"./handler/drag_pan\":397,\"./handler/drag_rotate\":398,\"./handler/keyboard\":399,\"./handler/scroll_zoom\":400,\"./handler/touch_zoom_rotate\":401,\"point-geometry\":465}],390:[function(t,e,r){\"use strict\";var n=t(\"../util/util\"),i=t(\"../util/interpolate\"),a=t(\"../util/browser\"),o=t(\"../geo/lng_lat\"),s=t(\"../geo/lng_lat_bounds\"),l=t(\"point-geometry\"),u=e.exports=function(){};n.extend(u.prototype,{getCenter:function(){return this.transform.center},setCenter:function(t,e){return this.jumpTo({center:t},e),this},panBy:function(t,e,r){return this.panTo(this.transform.center,n.extend({offset:l.convert(t).mult(-1)},e),r),this},panTo:function(t,e,r){return this.easeTo(n.extend({center:t},e),r)},getZoom:function(){return this.transform.zoom},setZoom:function(t,e){return this.jumpTo({zoom:t},e),this},zoomTo:function(t,e,r){return this.easeTo(n.extend({zoom:t},e),r)},zoomIn:function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},zoomOut:function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},getBearing:function(){return this.transform.bearing},setBearing:function(t,e){return this.jumpTo({bearing:t},e),this},rotateTo:function(t,e,r){return this.easeTo(n.extend({bearing:t},e),r)},resetNorth:function(t,e){return this.rotateTo(0,n.extend({duration:1e3},t),e),this},snapToNorth:function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},getPitch:function(){return this.transform.pitch},setPitch:function(t,e){return this.jumpTo({pitch:t},e),this},fitBounds:function(t,e,r){e=n.extend({padding:0,offset:[0,0],maxZoom:1/0},e),t=s.convert(t);var i=l.convert(e.offset),a=this.transform,o=a.project(t.getNorthWest()),u=a.project(t.getSouthEast()),c=u.sub(o),h=(a.width-2*e.padding-2*Math.abs(i.x))/c.x,f=(a.height-2*e.padding-2*Math.abs(i.y))/c.y;return e.center=a.unproject(o.add(u).div(2)),e.zoom=Math.min(a.scaleZoom(a.scale*Math.min(h,f)),e.maxZoom),e.bearing=0,e.linear?this.easeTo(e,r):this.flyTo(e,r)},jumpTo:function(t,e){this.stop();var r=this.transform,n=!1,i=!1,a=!1;return\"zoom\"in t&&r.zoom!==+t.zoom&&(n=!0,r.zoom=+t.zoom),\"center\"in t&&(r.center=o.convert(t.center)),\"bearing\"in t&&r.bearing!==+t.bearing&&(i=!0,r.bearing=+t.bearing),\"pitch\"in t&&r.pitch!==+t.pitch&&(a=!0,r.pitch=+t.pitch),this.fire(\"movestart\",e).fire(\"move\",e),n&&this.fire(\"zoomstart\",e).fire(\"zoom\",e).fire(\"zoomend\",e),i&&this.fire(\"rotate\",e),a&&this.fire(\"pitch\",e),this.fire(\"moveend\",e)},easeTo:function(t,e){this.stop(),t=n.extend({offset:[0,0],duration:500,easing:n.ease},t);var r,a,s=this.transform,u=l.convert(t.offset),c=this.getZoom(),h=this.getBearing(),f=this.getPitch(),d=\"zoom\"in t?+t.zoom:c,p=\"bearing\"in t?this._normalizeBearing(t.bearing,h):h,m=\"pitch\"in t?+t.pitch:f;\"center\"in t?(r=o.convert(t.center),a=s.centerPoint.add(u)):\"around\"in t?(r=o.convert(t.around),a=s.locationPoint(r)):(a=s.centerPoint.add(u),r=s.pointLocation(a));var g=s.locationPoint(r);return t.animate===!1&&(t.duration=0),this.zooming=d!==c,this.rotating=h!==p,this.pitching=m!==f,t.noMoveStart||this.fire(\"movestart\",e),this.zooming&&this.fire(\"zoomstart\",e),clearTimeout(this._onEaseEnd),this._ease(function(t){this.zooming&&(s.zoom=i(c,d,t)),this.rotating&&(s.bearing=i(h,p,t)),this.pitching&&(s.pitch=i(f,m,t)),s.setLocationAtPoint(r,g.add(a.sub(g)._mult(t))),this.fire(\"move\",e),this.zooming&&this.fire(\"zoom\",e),this.rotating&&this.fire(\"rotate\",e),this.pitching&&this.fire(\"pitch\",e)},function(){t.delayEndEvents?this._onEaseEnd=setTimeout(this._easeToEnd.bind(this,e),t.delayEndEvents):this._easeToEnd(e)}.bind(this),t),this},_easeToEnd:function(t){var e=this.zooming;this.zooming=!1,this.rotating=!1,this.pitching=!1,e&&this.fire(\"zoomend\",t),this.fire(\"moveend\",t)},flyTo:function(t,e){function r(t){var e=(A*A-k*k+(t?-1:1)*L*L*T*T)/(2*(t?A:k)*L*T);return Math.log(Math.sqrt(e*e+1)-e)}function a(t){return(Math.exp(t)-Math.exp(-t))/2}function s(t){return(Math.exp(t)+Math.exp(-t))/2}function u(t){return a(t)/s(t)}this.stop(),t=n.extend({offset:[0,0],speed:1.2,curve:1.42,easing:n.ease},t);var c=this.transform,h=l.convert(t.offset),f=this.getZoom(),d=this.getBearing(),p=this.getPitch(),m=\"center\"in t?o.convert(t.center):this.getCenter(),g=\"zoom\"in t?+t.zoom:f,v=\"bearing\"in t?this._normalizeBearing(t.bearing,d):d,y=\"pitch\"in t?+t.pitch:p;Math.abs(c.center.lng)+Math.abs(m.lng)>180&&(c.center.lng>0&&m.lng<0?m.lng+=360:c.center.lng<0&&m.lng>0&&(m.lng-=360));var b=c.zoomScale(g-f),x=c.point,_=\"center\"in t?c.project(m).sub(h.div(b)):x,w=c.worldSize,M=t.curve,k=Math.max(c.width,c.height),A=k/b,T=_.sub(x).mag();if(\"minZoom\"in t){var S=n.clamp(Math.min(t.minZoom,f,g),c.minZoom,c.maxZoom),E=k/c.zoomScale(S-f);M=Math.sqrt(E/T*2)}var L=M*M,C=r(0),z=function(t){return s(C)/s(C+M*t)},D=function(t){return k*((s(C)*u(C+M*t)-a(C))/L)/T},I=(r(1)-C)/M;if(Math.abs(T)<1e-6){if(Math.abs(k-A)<1e-6)return this.easeTo(t);var P=A<k?-1:1;I=Math.abs(Math.log(A/k))/M,D=function(){return 0},z=function(t){return Math.exp(P*M*t)}}if(\"duration\"in t)t.duration=+t.duration;else{var O=\"screenSpeed\"in t?+t.screenSpeed/M:+t.speed;t.duration=1e3*I/O}return this.zooming=!0,d!==v&&(this.rotating=!0),p!==y&&(this.pitching=!0),this.fire(\"movestart\",e),this.fire(\"zoomstart\",e),this._ease(function(t){var r=t*I,n=D(r);c.zoom=f+c.scaleZoom(1/z(r)),c.center=c.unproject(x.add(_.sub(x).mult(n)),w),this.rotating&&(c.bearing=i(d,v,t)),this.pitching&&(c.pitch=i(p,y,t)),this.fire(\"move\",e),this.fire(\"zoom\",e),this.rotating&&this.fire(\"rotate\",e),this.pitching&&this.fire(\"pitch\",e)},function(){this.zooming=!1,this.rotating=!1,this.pitching=!1,this.fire(\"zoomend\",e),this.fire(\"moveend\",e)},t),this},isEasing:function(){return!!this._abortFn},stop:function(){return this._abortFn&&(this._abortFn(),this._finishEase()),this},_ease:function(t,e,r){this._finishFn=e,this._abortFn=a.timed(function(e){t.call(this,r.easing(e)),1===e&&this._finishEase()},r.animate===!1?0:r.duration,this)},_finishEase:function(){delete this._abortFn;var t=this._finishFn;delete this._finishFn,t.call(this)},_normalizeBearing:function(t,e){t=n.wrap(t,-180,180);var r=Math.abs(t-e);return Math.abs(t-360-e)<r&&(t-=360),Math.abs(t+360-e)<r&&(t+=360),t},_updateEasing:function(t,e,r){var i;if(this.ease){var a=this.ease,o=(Date.now()-a.start)/a.duration,s=a.easing(o+.01)-a.easing(o),l=.27/Math.sqrt(s*s+1e-4)*.01,u=Math.sqrt(.0729-l*l);i=n.bezier(l,u,.25,1)}else i=r?n.bezier.apply(n,r):n.ease;return this.ease={start:(new Date).getTime(),to:Math.pow(2,e),duration:t,easing:i},i}})},{\"../geo/lng_lat\":321,\"../geo/lng_lat_bounds\":322,\"../util/browser\":408,\"../util/interpolate\":418,\"../util/util\":424,\"point-geometry\":465}],391:[function(t,e,r){\"use strict\";function n(t){o.setOptions(this,t)}var i=t(\"./control\"),a=t(\"../../util/dom\"),o=t(\"../../util/util\");e.exports=n,n.createAttributionString=function(t){var e=[];for(var r in t){var n=t[r];n.attribution&&e.indexOf(n.attribution)<0&&e.push(n.attribution)}return e.sort(function(t,e){return t.length-e.length}),e=e.filter(function(t,r){for(var n=r+1;n<e.length;n++)if(e[n].indexOf(t)>=0)return!1;return!0}),e.join(\" | \")},n.prototype=o.inherit(i,{options:{position:\"bottom-right\"},onAdd:function(t){var e=this._container=a.create(\"div\",\"mapboxgl-ctrl-attrib\",t.getContainer());return this._update(),t.on(\"source.load\",this._update.bind(this)),t.on(\"source.change\",this._update.bind(this)),t.on(\"source.remove\",this._update.bind(this)),t.on(\"moveend\",this._updateEditLink.bind(this)),e},_update:function(){this._map.style&&(this._container.innerHTML=n.createAttributionString(this._map.style.sources)),this._editLink=this._container.getElementsByClassName(\"mapbox-improve-map\")[0],this._updateEditLink()},_updateEditLink:function(){if(this._editLink){var t=this._map.getCenter();this._editLink.href=\"https://www.mapbox.com/map-feedback/#/\"+t.lng+\"/\"+t.lat+\"/\"+Math.round(this._map.getZoom()+1)}}})},{\"../../util/dom\":410,\"../../util/util\":424,\"./control\":392}],392:[function(t,e,r){\"use strict\";function n(){}var i=t(\"../../util/util\"),a=t(\"../../util/evented\");e.exports=n,n.prototype={addTo:function(t){this._map=t;var e=this._container=this.onAdd(t);if(this.options&&this.options.position){var r=this.options.position,n=t._controlCorners[r];e.className+=\" mapboxgl-ctrl\",r.indexOf(\"bottom\")!==-1?n.insertBefore(e,n.firstChild):n.appendChild(e)}return this},remove:function(){return this._container.parentNode.removeChild(this._container),this.onRemove&&this.onRemove(this._map),this._map=null,this}},i.extend(n.prototype,a)},{\"../../util/evented\":416,\"../../util/util\":424}],393:[function(t,e,r){\"use strict\";function n(t){s.setOptions(this,t)}var i=t(\"./control\"),a=t(\"../../util/browser\"),o=t(\"../../util/dom\"),s=t(\"../../util/util\");e.exports=n;var l={enableHighAccuracy:!1,timeout:6e3};n.prototype=s.inherit(i,{options:{position:\"top-right\"},onAdd:function(t){var e=this._container=o.create(\"div\",\"mapboxgl-ctrl-group\",t.getContainer());return a.supportsGeolocation?(this._container.addEventListener(\"contextmenu\",this._onContextMenu.bind(this)),this._geolocateButton=o.create(\"button\",\"mapboxgl-ctrl-icon mapboxgl-ctrl-geolocate\",this._container),this._geolocateButton.type=\"button\",this._geolocateButton.addEventListener(\"click\",this._onClickGeolocate.bind(this)),e):e},_onContextMenu:function(t){t.preventDefault()},_onClickGeolocate:function(){navigator.geolocation.getCurrentPosition(this._success.bind(this),this._error.bind(this),l),this._timeoutId=setTimeout(this._finish.bind(this),1e4)},_success:function(t){this._map.jumpTo({center:[t.coords.longitude,t.coords.latitude],zoom:17,bearing:0,pitch:0}),\n",
       "this.fire(\"geolocate\",t),this._finish()},_error:function(t){this.fire(\"error\",t),this._finish()},_finish:function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0}})},{\"../../util/browser\":408,\"../../util/dom\":410,\"../../util/util\":424,\"./control\":392}],394:[function(t,e,r){\"use strict\";function n(t){s.setOptions(this,t)}function i(t){return new MouseEvent(t.type,{button:2,buttons:2,bubbles:!0,cancelable:!0,detail:t.detail,view:t.view,screenX:t.screenX,screenY:t.screenY,clientX:t.clientX,clientY:t.clientY,movementX:t.movementX,movementY:t.movementY,ctrlKey:t.ctrlKey,shiftKey:t.shiftKey,altKey:t.altKey,metaKey:t.metaKey})}var a=t(\"./control\"),o=t(\"../../util/dom\"),s=t(\"../../util/util\");e.exports=n,n.prototype=s.inherit(a,{options:{position:\"top-right\"},onAdd:function(t){var e=\"mapboxgl-ctrl\",r=this._container=o.create(\"div\",e+\"-group\",t.getContainer());return this._container.addEventListener(\"contextmenu\",this._onContextMenu.bind(this)),this._zoomInButton=this._createButton(e+\"-icon \"+e+\"-zoom-in\",t.zoomIn.bind(t)),this._zoomOutButton=this._createButton(e+\"-icon \"+e+\"-zoom-out\",t.zoomOut.bind(t)),this._compass=this._createButton(e+\"-icon \"+e+\"-compass\",t.resetNorth.bind(t)),this._compassArrow=o.create(\"div\",\"arrow\",this._compass),this._compass.addEventListener(\"mousedown\",this._onCompassDown.bind(this)),this._onCompassMove=this._onCompassMove.bind(this),this._onCompassUp=this._onCompassUp.bind(this),t.on(\"rotate\",this._rotateCompassArrow.bind(this)),this._rotateCompassArrow(),this._el=t.getCanvasContainer(),r},_onContextMenu:function(t){t.preventDefault()},_onCompassDown:function(t){0===t.button&&(o.disableDrag(),document.addEventListener(\"mousemove\",this._onCompassMove),document.addEventListener(\"mouseup\",this._onCompassUp),this._el.dispatchEvent(i(t)),t.stopPropagation())},_onCompassMove:function(t){0===t.button&&(this._el.dispatchEvent(i(t)),t.stopPropagation())},_onCompassUp:function(t){0===t.button&&(document.removeEventListener(\"mousemove\",this._onCompassMove),document.removeEventListener(\"mouseup\",this._onCompassUp),o.enableDrag(),this._el.dispatchEvent(i(t)),t.stopPropagation())},_createButton:function(t,e){var r=o.create(\"button\",t,this._container);return r.type=\"button\",r.addEventListener(\"click\",function(){e()}),r},_rotateCompassArrow:function(){var t=\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassArrow.style.transform=t}})},{\"../../util/dom\":410,\"../../util/util\":424,\"./control\":392}],395:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),o.bindHandlers(this)}var i=t(\"../../util/dom\"),a=t(\"../../geo/lng_lat_bounds\"),o=t(\"../../util/util\");e.exports=n,n.prototype={_enabled:!1,_active:!1,isEnabled:function(){return this._enabled},isActive:function(){return this._active},enable:function(){this.isEnabled()||(this._el.addEventListener(\"mousedown\",this._onMouseDown,!1),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"mousedown\",this._onMouseDown),this._enabled=!1)},_onMouseDown:function(t){t.shiftKey&&0===t.button&&(document.addEventListener(\"mousemove\",this._onMouseMove,!1),document.addEventListener(\"keydown\",this._onKeyDown,!1),document.addEventListener(\"mouseup\",this._onMouseUp,!1),i.disableDrag(),this._startPos=i.mousePos(this._el,t),this._active=!0)},_onMouseMove:function(t){var e=this._startPos,r=i.mousePos(this._el,t);this._box||(this._box=i.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var n=Math.min(e.x,r.x),a=Math.max(e.x,r.x),o=Math.min(e.y,r.y),s=Math.max(e.y,r.y);i.setTransform(this._box,\"translate(\"+n+\"px,\"+o+\"px)\"),this._box.style.width=a-n+\"px\",this._box.style.height=s-o+\"px\"},_onMouseUp:function(t){if(0===t.button){var e=this._startPos,r=i.mousePos(this._el,t),n=new a(this._map.unproject(e),this._map.unproject(r));this._finish(),e.x===r.x&&e.y===r.y?this._fireEvent(\"boxzoomcancel\",t):this._map.fitBounds(n,{linear:!0}).fire(\"boxzoomend\",{originalEvent:t,boxZoomBounds:n})}},_onKeyDown:function(t){27===t.keyCode&&(this._finish(),this._fireEvent(\"boxzoomcancel\",t))},_finish:function(){this._active=!1,document.removeEventListener(\"mousemove\",this._onMouseMove,!1),document.removeEventListener(\"keydown\",this._onKeyDown,!1),document.removeEventListener(\"mouseup\",this._onMouseUp,!1),this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(this._box.parentNode.removeChild(this._box),this._box=null),i.enableDrag()},_fireEvent:function(t,e){return this._map.fire(t,{originalEvent:e})}}},{\"../../geo/lng_lat_bounds\":322,\"../../util/dom\":410,\"../../util/util\":424}],396:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._onDblClick=this._onDblClick.bind(this)}e.exports=n,n.prototype={_enabled:!1,isEnabled:function(){return this._enabled},enable:function(){this.isEnabled()||(this._map.on(\"dblclick\",this._onDblClick),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._map.off(\"dblclick\",this._onDblClick),this._enabled=!1)},_onDblClick:function(t){this._map.zoomTo(this._map.getZoom()+(t.originalEvent.shiftKey?-1:1),{around:t.lngLat},t)}}},{}],397:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._el=t.getCanvasContainer(),a.bindHandlers(this)}var i=t(\"../../util/dom\"),a=t(\"../../util/util\");e.exports=n;var o=a.bezier(0,0,.3,1);n.prototype={_enabled:!1,_active:!1,isEnabled:function(){return this._enabled},isActive:function(){return this._active},enable:function(){this.isEnabled()||(this._el.addEventListener(\"mousedown\",this._onDown),this._el.addEventListener(\"touchstart\",this._onDown),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"mousedown\",this._onDown),this._el.removeEventListener(\"touchstart\",this._onDown),this._enabled=!1)},_onDown:function(t){this._ignoreEvent(t)||this.isActive()||(t.touches?(document.addEventListener(\"touchmove\",this._onMove),document.addEventListener(\"touchend\",this._onTouchEnd)):(document.addEventListener(\"mousemove\",this._onMove),document.addEventListener(\"mouseup\",this._onMouseUp)),this._active=!1,this._startPos=this._pos=i.mousePos(this._el,t),this._inertia=[[Date.now(),this._pos]])},_onMove:function(t){if(!this._ignoreEvent(t)){this.isActive()||(this._active=!0,this._fireEvent(\"dragstart\",t),this._fireEvent(\"movestart\",t));var e=i.mousePos(this._el,t),r=this._map;r.stop(),this._drainInertiaBuffer(),this._inertia.push([Date.now(),e]),r.transform.setLocationAtPoint(r.transform.pointLocation(this._pos),e),this._fireEvent(\"drag\",t),this._fireEvent(\"move\",t),this._pos=e,t.preventDefault()}},_onUp:function(t){if(this.isActive()){this._active=!1,this._fireEvent(\"dragend\",t),this._drainInertiaBuffer();var e=function(){this._fireEvent(\"moveend\",t)}.bind(this),r=this._inertia;if(r.length<2)return void e();var n=r[r.length-1],i=r[0],a=n[1].sub(i[1]),s=(n[0]-i[0])/1e3;if(0===s||n[1].equals(i[1]))return void e();var l=a.mult(.3/s),u=l.mag();u>1400&&(u=1400,l._unit()._mult(u));var c=u/750,h=l.mult(-c/2);this._map.panBy(h,{duration:1e3*c,easing:o,noMoveStart:!0},{originalEvent:t})}},_onMouseUp:function(t){this._ignoreEvent(t)||(this._onUp(t),document.removeEventListener(\"mousemove\",this._onMove),document.removeEventListener(\"mouseup\",this._onMouseUp))},_onTouchEnd:function(t){this._ignoreEvent(t)||(this._onUp(t),document.removeEventListener(\"touchmove\",this._onMove),document.removeEventListener(\"touchend\",this._onTouchEnd))},_fireEvent:function(t,e){return this._map.fire(t,{originalEvent:e})},_ignoreEvent:function(t){var e=this._map;if(e.boxZoom&&e.boxZoom.isActive())return!0;if(e.dragRotate&&e.dragRotate.isActive())return!0;if(t.touches)return t.touches.length>1;if(t.ctrlKey)return!0;return\"mousemove\"===t.type?t.buttons&!1:0!==t.button},_drainInertiaBuffer:function(){for(var t=this._inertia,e=Date.now();t.length>0&&e-t[0][0]>160;)t.shift()}}},{\"../../util/dom\":410,\"../../util/util\":424}],398:[function(t,e,r){\"use strict\";function n(t,e){this._map=t,this._el=t.getCanvasContainer(),this._bearingSnap=e.bearingSnap,o.bindHandlers(this)}var i=t(\"../../util/dom\"),a=t(\"point-geometry\"),o=t(\"../../util/util\");e.exports=n;var s=o.bezier(0,0,.25,1);n.prototype={_enabled:!1,_active:!1,isEnabled:function(){return this._enabled},isActive:function(){return this._active},enable:function(){this.isEnabled()||(this._el.addEventListener(\"mousedown\",this._onDown),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"mousedown\",this._onDown),this._enabled=!1)},_onDown:function(t){if(!this._ignoreEvent(t)&&!this.isActive()){document.addEventListener(\"mousemove\",this._onMove),document.addEventListener(\"mouseup\",this._onUp),this._active=!1,this._inertia=[[Date.now(),this._map.getBearing()]],this._startPos=this._pos=i.mousePos(this._el,t),this._center=this._map.transform.centerPoint;var e=this._startPos.sub(this._center);e.mag()<200&&(this._center=this._startPos.add(new a(-200,0)._rotate(e.angle()))),t.preventDefault()}},_onMove:function(t){if(!this._ignoreEvent(t)){this.isActive()||(this._active=!0,this._fireEvent(\"rotatestart\",t),this._fireEvent(\"movestart\",t));var e=this._map;e.stop();var r=this._pos,n=i.mousePos(this._el,t),a=this._center,o=r.sub(a).angleWith(n.sub(a))/Math.PI*180,s=e.getBearing()-o,l=this._inertia,u=l[l.length-1];this._drainInertiaBuffer(),l.push([Date.now(),e._normalizeBearing(s,u[1])]),e.transform.bearing=s,this._fireEvent(\"rotate\",t),this._fireEvent(\"move\",t),this._pos=n}},_onUp:function(t){if(!this._ignoreEvent(t)&&(document.removeEventListener(\"mousemove\",this._onMove),document.removeEventListener(\"mouseup\",this._onUp),this.isActive())){this._active=!1,this._fireEvent(\"rotateend\",t),this._drainInertiaBuffer();var e=this._map,r=e.getBearing(),n=this._inertia,i=function(){Math.abs(r)<this._bearingSnap?e.resetNorth({noMoveStart:!0},{originalEvent:t}):this._fireEvent(\"moveend\",t)}.bind(this);if(n.length<2)return void i();var a=n[0],o=n[n.length-1],l=n[n.length-2],u=e._normalizeBearing(r,l[1]),c=o[1]-a[1],h=c<0?-1:1,f=(o[0]-a[0])/1e3;if(0===c||0===f)return void i();var d=Math.abs(c*(.25/f));d>180&&(d=180);var p=d/180;u+=h*d*(p/2),Math.abs(e._normalizeBearing(u,0))<this._bearingSnap&&(u=e._normalizeBearing(0,u)),e.rotateTo(u,{duration:1e3*p,easing:s,noMoveStart:!0},{originalEvent:t})}},_fireEvent:function(t,e){return this._map.fire(t,{originalEvent:e})},_ignoreEvent:function(t){var e=this._map;if(e.boxZoom&&e.boxZoom.isActive())return!0;if(e.dragPan&&e.dragPan.isActive())return!0;if(t.touches)return t.touches.length>1;var r=t.ctrlKey?1:2,n=t.ctrlKey?0:2;return\"mousemove\"===t.type?t.buttons&0===r:t.button!==n},_drainInertiaBuffer:function(){for(var t=this._inertia,e=Date.now();t.length>0&&e-t[0][0]>160;)t.shift()}}},{\"../../util/dom\":410,\"../../util/util\":424,\"point-geometry\":465}],399:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._el=t.getCanvasContainer(),this._onKeyDown=this._onKeyDown.bind(this)}e.exports=n;n.prototype={_enabled:!1,isEnabled:function(){return this._enabled},enable:function(){this.isEnabled()||(this._el.addEventListener(\"keydown\",this._onKeyDown,!1),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"keydown\",this._onKeyDown),this._enabled=!1)},_onKeyDown:function(t){if(!(t.altKey||t.ctrlKey||t.metaKey)){var e=this._map,r={originalEvent:t};if(!e.isEasing())switch(t.keyCode){case 61:case 107:case 171:case 187:e.zoomTo(Math.round(e.getZoom())+(t.shiftKey?2:1),r);break;case 189:case 109:case 173:e.zoomTo(Math.round(e.getZoom())-(t.shiftKey?2:1),r);break;case 37:t.shiftKey?e.easeTo({bearing:e.getBearing()-2},r):(t.preventDefault(),e.panBy([-80,0],r));break;case 39:t.shiftKey?e.easeTo({bearing:e.getBearing()+2},r):(t.preventDefault(),e.panBy([80,0],r));break;case 38:t.shiftKey?e.easeTo({pitch:e.getPitch()+5},r):(t.preventDefault(),e.panBy([0,-80],r));break;case 40:t.shiftKey?e.easeTo({pitch:Math.max(e.getPitch()-5,0)},r):(t.preventDefault(),e.panBy([0,80],r))}}}}},{}],400:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._el=t.getCanvasContainer(),o.bindHandlers(this)}var i=t(\"../../util/dom\"),a=t(\"../../util/browser\"),o=t(\"../../util/util\");e.exports=n;var s=\"undefined\"!=typeof navigator?navigator.userAgent.toLowerCase():\"\",l=s.indexOf(\"firefox\")!==-1,u=s.indexOf(\"safari\")!==-1&&s.indexOf(\"chrom\")===-1;n.prototype={_enabled:!1,isEnabled:function(){return this._enabled},enable:function(){this.isEnabled()||(this._el.addEventListener(\"wheel\",this._onWheel,!1),this._el.addEventListener(\"mousewheel\",this._onWheel,!1),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"wheel\",this._onWheel),this._el.removeEventListener(\"mousewheel\",this._onWheel),this._enabled=!1)},_onWheel:function(t){var e;\"wheel\"===t.type?(e=t.deltaY,l&&t.deltaMode===window.WheelEvent.DOM_DELTA_PIXEL&&(e/=a.devicePixelRatio),t.deltaMode===window.WheelEvent.DOM_DELTA_LINE&&(e*=40)):\"mousewheel\"===t.type&&(e=-t.wheelDeltaY,u&&(e/=3));var r=a.now(),n=r-(this._time||0);this._pos=i.mousePos(this._el,t),this._time=r,0!==e&&e%4.000244140625==0?(this._type=\"wheel\",e=Math.floor(e/4)):0!==e&&Math.abs(e)<4?this._type=\"trackpad\":n>400?(this._type=null,this._lastValue=e,this._timeout=setTimeout(this._onTimeout,40)):this._type||(this._type=Math.abs(n*e)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,e+=this._lastValue)),t.shiftKey&&e&&(e/=4),this._type&&this._zoom(-e,t),t.preventDefault()},_onTimeout:function(){this._type=\"wheel\",this._zoom(-this._lastValue)},_zoom:function(t,e){if(0!==t){var r=this._map,n=2/(1+Math.exp(-Math.abs(t/100)));t<0&&0!==n&&(n=1/n);var i=r.ease?r.ease.to:r.transform.scale,a=r.transform.scaleZoom(i*n);r.zoomTo(a,{duration:0,around:r.unproject(this._pos),delayEndEvents:200},{originalEvent:e})}}}},{\"../../util/browser\":408,\"../../util/dom\":410,\"../../util/util\":424}],401:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._el=t.getCanvasContainer(),a.bindHandlers(this)}var i=t(\"../../util/dom\"),a=t(\"../../util/util\");e.exports=n;var o=a.bezier(0,0,.15,1);n.prototype={_enabled:!1,isEnabled:function(){return this._enabled},enable:function(){this.isEnabled()||(this._el.addEventListener(\"touchstart\",this._onStart,!1),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"touchstart\",this._onStart),this._enabled=!1)},disableRotation:function(){this._rotationDisabled=!0},enableRotation:function(){this._rotationDisabled=!1},_onStart:function(t){if(2===t.touches.length){var e=i.mousePos(this._el,t.touches[0]),r=i.mousePos(this._el,t.touches[1]);this._startVec=e.sub(r),this._startScale=this._map.transform.scale,this._startBearing=this._map.transform.bearing,this._gestureIntent=void 0,this._inertia=[],document.addEventListener(\"touchmove\",this._onMove,!1),document.addEventListener(\"touchend\",this._onEnd,!1)}},_onMove:function(t){if(2===t.touches.length){var e=i.mousePos(this._el,t.touches[0]),r=i.mousePos(this._el,t.touches[1]),n=e.add(r).div(2),a=e.sub(r),o=a.mag()/this._startVec.mag(),s=this._rotationDisabled?0:180*a.angleWith(this._startVec)/Math.PI,l=this._map;if(this._gestureIntent){var u={duration:0,around:l.unproject(n)};\"rotate\"===this._gestureIntent&&(u.bearing=this._startBearing+s),\"zoom\"!==this._gestureIntent&&\"rotate\"!==this._gestureIntent||(u.zoom=l.transform.scaleZoom(this._startScale*o)),l.stop(),this._drainInertiaBuffer(),this._inertia.push([Date.now(),o,n]),l.easeTo(u,{originalEvent:t})}else{var c=Math.abs(1-o)>.15;Math.abs(s)>4?this._gestureIntent=\"rotate\":c&&(this._gestureIntent=\"zoom\"),this._gestureIntent&&(this._startVec=a,this._startScale=l.transform.scale,this._startBearing=l.transform.bearing)}t.preventDefault()}},_onEnd:function(t){document.removeEventListener(\"touchmove\",this._onMove),document.removeEventListener(\"touchend\",this._onEnd),this._drainInertiaBuffer();var e=this._inertia,r=this._map;if(e.length<2)return void r.snapToNorth({},{originalEvent:t});var n=e[e.length-1],i=e[0],a=r.transform.scaleZoom(this._startScale*n[1]),s=r.transform.scaleZoom(this._startScale*i[1]),l=a-s,u=(n[0]-i[0])/1e3,c=n[2];if(0===u||a===s)return void r.snapToNorth({},{originalEvent:t});var h=.15*l/u;Math.abs(h)>2.5&&(h=h>0?2.5:-2.5);var f=1e3*Math.abs(h/(12*.15)),d=a+h*f/2e3;d<0&&(d=0),r.easeTo({zoom:d,duration:f,easing:o,around:r.unproject(c)},{originalEvent:t})},_drainInertiaBuffer:function(){for(var t=this._inertia,e=Date.now();t.length>2&&e-t[0][0]>160;)t.shift()}}},{\"../../util/dom\":410,\"../../util/util\":424}],402:[function(t,e,r){\"use strict\";function n(){i.bindAll([\"_onHashChange\",\"_updateHash\"],this)}e.exports=n;var i=t(\"../util/util\");n.prototype={addTo:function(t){return this._map=t,window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},remove:function(){return window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),delete this._map,this},_onHashChange:function(){var t=location.hash.replace(\"#\",\"\").split(\"/\");return t.length>=3&&(this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:+(t[3]||0)}),!0)},_updateHash:function(){var t=this._map.getCenter(),e=this._map.getZoom(),r=this._map.getBearing(),n=Math.max(0,Math.ceil(Math.log(e)/Math.LN2)),i=\"#\"+Math.round(100*e)/100+\"/\"+t.lat.toFixed(n)+\"/\"+t.lng.toFixed(n)+(r?\"/\"+Math.round(10*r)/10:\"\");window.history.replaceState(\"\",\"\",i)}}},{\"../util/util\":424}],403:[function(t,e,r){\"use strict\";function n(t){t.parentNode&&t.parentNode.removeChild(t)}var i=t(\"../util/canvas\"),a=t(\"../util/util\"),o=t(\"../util/browser\"),s=t(\"../util/browser\").window,l=t(\"../util/evented\"),u=t(\"../util/dom\"),c=t(\"../style/style\"),h=t(\"../style/animation_loop\"),f=t(\"../render/painter\"),d=t(\"../geo/transform\"),p=t(\"./hash\"),m=t(\"./bind_handlers\"),g=t(\"./camera\"),v=t(\"../geo/lng_lat\"),y=t(\"../geo/lng_lat_bounds\"),b=t(\"point-geometry\"),x=t(\"./control/attribution\"),_={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:0,maxZoom:20,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,bearingSnap:7,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,workerCount:Math.max(o.hardwareConcurrency-1,1)},w=e.exports=function(t){if(t=a.extend({},_,t),t.workerCount<1)throw new Error(\"workerCount must an integer greater than or equal to 1.\");this._interactive=t.interactive,this._failIfMajorPerformanceCaveat=t.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=t.preserveDrawingBuffer,this._trackResize=t.trackResize,this._workerCount=t.workerCount,this._bearingSnap=t.bearingSnap,\"string\"==typeof t.container?this._container=document.getElementById(t.container):this._container=t.container,this.animationLoop=new h,this.transform=new d(t.minZoom,t.maxZoom),t.maxBounds&&this.setMaxBounds(t.maxBounds),a.bindAll([\"_forwardStyleEvent\",\"_forwardSourceEvent\",\"_forwardLayerEvent\",\"_forwardTileEvent\",\"_onStyleLoad\",\"_onStyleChange\",\"_onSourceAdd\",\"_onSourceRemove\",\"_onSourceUpdate\",\"_onWindowOnline\",\"_onWindowResize\",\"_update\",\"_render\"],this),this._setupContainer(),this._setupPainter(),this.on(\"move\",this._update.bind(this,!1)),this.on(\"zoom\",this._update.bind(this,!0)),this.on(\"moveend\",function(){this.animationLoop.set(300),this._rerender()}.bind(this)),void 0!==s&&(s.addEventListener(\"online\",this._onWindowOnline,!1),s.addEventListener(\"resize\",this._onWindowResize,!1)),m(this,t),this._hash=t.hash&&(new p).addTo(this),this._hash&&this._hash._onHashChange()||this.jumpTo({center:t.center,zoom:t.zoom,bearing:t.bearing,pitch:t.pitch}),this.stacks={},this._classes=[],this.resize(),t.classes&&this.setClasses(t.classes),t.style&&this.setStyle(t.style),t.attributionControl&&this.addControl(new x(t.attributionControl));var e=this.fire.bind(this,\"error\");this.on(\"style.error\",e),this.on(\"source.error\",e),this.on(\"tile.error\",e),this.on(\"layer.error\",e)};a.extend(w.prototype,l),a.extend(w.prototype,g.prototype),a.extend(w.prototype,{addControl:function(t){return t.addTo(this),this},addClass:function(t,e){return this._classes.indexOf(t)>=0||\"\"===t?this:(this._classes.push(t),this._classOptions=e,this.style&&this.style.updateClasses(),this._update(!0))},removeClass:function(t,e){var r=this._classes.indexOf(t);return r<0||\"\"===t?this:(this._classes.splice(r,1),this._classOptions=e,this.style&&this.style.updateClasses(),this._update(!0))},setClasses:function(t,e){for(var r={},n=0;n<t.length;n++)\"\"!==t[n]&&(r[t[n]]=!0);return this._classes=Object.keys(r),this._classOptions=e,this.style&&this.style.updateClasses(),this._update(!0)},hasClass:function(t){return this._classes.indexOf(t)>=0},getClasses:function(){return this._classes},resize:function(){var t=0,e=0;return this._container&&(t=this._container.offsetWidth||400,e=this._container.offsetHeight||300),this._canvas.resize(t,e),this.transform.resize(t,e),this.painter.resize(t,e),this.fire(\"movestart\").fire(\"move\").fire(\"resize\").fire(\"moveend\")},getBounds:function(){var t=new y(this.transform.pointLocation(new b(0,0)),this.transform.pointLocation(this.transform.size));return(this.transform.angle||this.transform.pitch)&&(t.extend(this.transform.pointLocation(new b(this.transform.size.x,0))),t.extend(this.transform.pointLocation(new b(0,this.transform.size.y)))),t},setMaxBounds:function(t){if(t){var e=y.convert(t);this.transform.lngRange=[e.getWest(),e.getEast()],this.transform.latRange=[e.getSouth(),e.getNorth()],this.transform._constrain(),this._update()}else null!==t&&void 0!==t||(this.transform.lngRange=[],this.transform.latRange=[],this._update());return this},setMinZoom:function(t){if((t=null===t||void 0===t?0:t)>=0&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between 0 and the current maxZoom, inclusive\")},setMaxZoom:function(t){if((t=null===t||void 0===t?20:t)>=this.transform.minZoom&&t<=20)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be between the current minZoom and 20, inclusive\")},project:function(t){return this.transform.locationPoint(v.convert(t))},unproject:function(t){return this.transform.pointLocation(b.convert(t))},queryRenderedFeatures:function(){var t,e={};return 2===arguments.length?(t=arguments[0],e=arguments[1]):1===arguments.length&&function(t){return t instanceof b||Array.isArray(t)}(arguments[0])?t=arguments[0]:1===arguments.length&&(e=arguments[0]),this.style.queryRenderedFeatures(this._makeQueryGeometry(t),e,this.transform.zoom,this.transform.angle)},_makeQueryGeometry:function(t){void 0===t&&(t=[b.convert([0,0]),b.convert([this.transform.width,this.transform.height])]);var e;if(t instanceof b||\"number\"==typeof t[0])e=[b.convert(t)];else{var r=[b.convert(t[0]),b.convert(t[1])];e=[r[0],new b(r[1].x,r[0].y),r[1],new b(r[0].x,r[1].y),r[0]]}return e=e.map(function(t){return this.transform.pointCoordinate(t)}.bind(this))},querySourceFeatures:function(t,e){return this.style.querySourceFeatures(t,e)},setStyle:function(t){return this.style&&(this.style.off(\"load\",this._onStyleLoad).off(\"error\",this._forwardStyleEvent).off(\"change\",this._onStyleChange).off(\"source.add\",this._onSourceAdd).off(\"source.remove\",this._onSourceRemove).off(\"source.load\",this._onSourceUpdate).off(\"source.error\",this._forwardSourceEvent).off(\"source.change\",this._onSourceUpdate).off(\"layer.add\",this._forwardLayerEvent).off(\"layer.remove\",this._forwardLayerEvent).off(\"layer.error\",this._forwardLayerEvent).off(\"tile.add\",this._forwardTileEvent).off(\"tile.remove\",this._forwardTileEvent).off(\"tile.load\",this._update).off(\"tile.error\",this._forwardTileEvent).off(\"tile.stats\",this._forwardTileEvent)._remove(),this.off(\"rotate\",this.style._redoPlacement),this.off(\"pitch\",this.style._redoPlacement)),t?(this.style=t instanceof c?t:new c(t,this.animationLoop,this._workerCount),this.style.on(\"load\",this._onStyleLoad).on(\"error\",this._forwardStyleEvent).on(\"change\",this._onStyleChange).on(\"source.add\",this._onSourceAdd).on(\"source.remove\",this._onSourceRemove).on(\"source.load\",this._onSourceUpdate).on(\"source.error\",this._forwardSourceEvent).on(\"source.change\",this._onSourceUpdate).on(\"layer.add\",this._forwardLayerEvent).on(\"layer.remove\",this._forwardLayerEvent).on(\"layer.error\",this._forwardLayerEvent).on(\"tile.add\",this._forwardTileEvent).on(\"tile.remove\",this._forwardTileEvent).on(\"tile.load\",this._update).on(\"tile.error\",this._forwardTileEvent).on(\"tile.stats\",this._forwardTileEvent),this.on(\"rotate\",this.style._redoPlacement),this.on(\"pitch\",this.style._redoPlacement),this):(this.style=null,this)},getStyle:function(){if(this.style)return this.style.serialize()},addSource:function(t,e){return this.style.addSource(t,e),this._update(!0),this},addSourceType:function(t,e,r){return this.style.addSourceType(t,e,r)},removeSource:function(t){return this.style.removeSource(t),this._update(!0),this},getSource:function(t){return this.style.getSource(t)},addLayer:function(t,e){return this.style.addLayer(t,e),this._update(!0),this},removeLayer:function(t){return this.style.removeLayer(t),this._update(!0),this},getLayer:function(t){return this.style.getLayer(t)},setFilter:function(t,e){return this.style.setFilter(t,e),this._update(!0),this},setLayerZoomRange:function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0),this},getFilter:function(t){return this.style.getFilter(t)},setPaintProperty:function(t,e,r,n){return this.style.setPaintProperty(t,e,r,n),this._update(!0),this},getPaintProperty:function(t,e,r){return this.style.getPaintProperty(t,e,r)},setLayoutProperty:function(t,e,r){return this.style.setLayoutProperty(t,e,r),this._update(!0),this},getLayoutProperty:function(t,e){return this.style.getLayoutProperty(t,e)},getContainer:function(){return this._container},getCanvasContainer:function(){return this._canvasContainer},getCanvas:function(){return this._canvas.getElement()},_setupContainer:function(){var t=this._container;t.classList.add(\"mapboxgl-map\");var e=this._canvasContainer=u.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=new i(this,e);var r=this._controlContainer=u.create(\"div\",\"mapboxgl-control-container\",t),n=this._controlCorners={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach(function(t){n[t]=u.create(\"div\",\"mapboxgl-ctrl-\"+t,r)})},_setupPainter:function(){var t=this._canvas.getWebGLContext({failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer});if(!t)return void this.fire(\"error\",{error:new Error(\"Failed to initialize WebGL\")});this.painter=new f(t,this.transform)},_contextLost:function(t){t.preventDefault(),this._frameId&&o.cancelFrame(this._frameId),this.fire(\"webglcontextlost\",{originalEvent:t})},_contextRestored:function(t){this._setupPainter(),this.resize(),this._update(),this.fire(\"webglcontextrestored\",{originalEvent:t})},loaded:function(){return!this._styleDirty&&!this._sourcesDirty&&!(!this.style||!this.style.loaded())},_update:function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this._rerender(),this):this},_render:function(){try{this.style&&this._styleDirty&&(this._styleDirty=!1,this.style.update(this._classes,this._classOptions),this._classOptions=null,this.style._recalculate(this.transform.zoom)),this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this.painter.render(this.style,{debug:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,vertices:this.vertices,rotating:this.rotating,zooming:this.zooming}),this.fire(\"render\"),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(\"load\")),this._frameId=null,this.animationLoop.stopped()||(this._styleDirty=!0),(this._sourcesDirty||this._repaint||this._styleDirty)&&this._rerender()}catch(t){this.fire(\"error\",{error:t})}return this},remove:function(){this._hash&&this._hash.remove(),o.cancelFrame(this._frameId),this.setStyle(null),void 0!==s&&s.removeEventListener(\"resize\",this._onWindowResize,!1);var t=this.painter.gl.getExtension(\"WEBGL_lose_context\");t&&t.loseContext(),n(this._canvasContainer),n(this._controlContainer),this._container.classList.remove(\"mapboxgl-map\")},_rerender:function(){this.style&&!this._frameId&&(this._frameId=o.frame(this._render))},_forwardStyleEvent:function(t){this.fire(\"style.\"+t.type,a.extend({style:t.target},t))},_forwardSourceEvent:function(t){this.fire(t.type,a.extend({style:t.target},t))},_forwardLayerEvent:function(t){this.fire(t.type,a.extend({style:t.target},t))},_forwardTileEvent:function(t){this.fire(t.type,a.extend({style:t.target},t))},_onStyleLoad:function(t){this.transform.unmodified&&this.jumpTo(this.style.stylesheet),this.style.update(this._classes,{transition:!1}),this._forwardStyleEvent(t)},_onStyleChange:function(t){this._update(!0),this._forwardStyleEvent(t)},_onSourceAdd:function(t){var e=t.source;e.onAdd&&e.onAdd(this),this._forwardSourceEvent(t)},_onSourceRemove:function(t){var e=t.source;e.onRemove&&e.onRemove(this),this._forwardSourceEvent(t)},_onSourceUpdate:function(t){this._update(),this._forwardSourceEvent(t)},_onWindowOnline:function(){this._update()},_onWindowResize:function(){this._trackResize&&this.stop().resize()._update()}}),a.extendAll(w.prototype,{_showTileBoundaries:!1,get showTileBoundaries(){return this._showTileBoundaries},set showTileBoundaries(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},_showCollisionBoxes:!1,get showCollisionBoxes(){return this._showCollisionBoxes},set showCollisionBoxes(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,this.style._redoPlacement())},_showOverdrawInspector:!1,get showOverdrawInspector(){return this._showOverdrawInspector},set showOverdrawInspector(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},_repaint:!1,get repaint(){return this._repaint},set repaint(t){this._repaint=t,this._update()},_vertices:!1,get vertices(){return this._vertices},set vertices(t){this._vertices=t,this._update()}})},{\"../geo/lng_lat\":321,\"../geo/lng_lat_bounds\":322,\"../geo/transform\":323,\"../render/painter\":337,\"../style/animation_loop\":357,\"../style/style\":360,\"../util/browser\":408,\"../util/canvas\":409,\"../util/dom\":410,\"../util/evented\":416,\"../util/util\":424,\"./bind_handlers\":389,\"./camera\":390,\"./control/attribution\":391,\"./hash\":402,\"point-geometry\":465}],404:[function(t,e,r){\"use strict\";function n(t,e){t||(t=i.create(\"div\")),t.classList.add(\"mapboxgl-marker\"),this._el=t,this._offset=o.convert(e&&e.offset||[0,0]),this._update=this._update.bind(this)}e.exports=n;var i=t(\"../util/dom\"),a=t(\"../geo/lng_lat\"),o=t(\"point-geometry\");n.prototype={addTo:function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._el),t.on(\"move\",this._update),this._update(),this},remove:function(){this._map&&(this._map.off(\"move\",this._update),this._map=null);var t=this._el.parentNode;return t&&t.removeChild(this._el),this},getLngLat:function(){return this._lngLat},setLngLat:function(t){return this._lngLat=a.convert(t),this._update(),this},getElement:function(){return this._el},_update:function(){if(this._map){var t=this._map.project(this._lngLat)._add(this._offset);i.setTransform(this._el,\"translate(\"+t.x+\"px,\"+t.y+\"px)\")}}}},{\"../geo/lng_lat\":321,\"../util/dom\":410,\"point-geometry\":465}],405:[function(t,e,r){\"use strict\";function n(t){i.setOptions(this,t),i.bindAll([\"_update\",\"_onClickClose\"],this)}e.exports=n;var i=t(\"../util/util\"),a=t(\"../util/evented\"),o=t(\"../util/dom\"),s=t(\"../geo/lng_lat\");n.prototype=i.inherit(a,{options:{closeButton:!0,closeOnClick:!0},addTo:function(t){return this._map=t,this._map.on(\"move\",this._update),this.options.closeOnClick&&this._map.on(\"click\",this._onClickClose),this._update(),this},remove:function(){\n",
       "return this._content&&this._content.parentNode&&this._content.parentNode.removeChild(this._content),this._container&&(this._container.parentNode.removeChild(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"click\",this._onClickClose),delete this._map),this.fire(\"close\"),this},getLngLat:function(){return this._lngLat},setLngLat:function(t){return this._lngLat=s.convert(t),this._update(),this},setText:function(t){return this.setDOMContent(document.createTextNode(t))},setHTML:function(t){var e,r=document.createDocumentFragment(),n=document.createElement(\"body\");for(n.innerHTML=t;;){if(!(e=n.firstChild))break;r.appendChild(e)}return this.setDOMContent(r)},setDOMContent:function(t){return 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t=0;t<this.actors.length;t++)this.actors[t].target.terminate();this.actors=[]}}},{\"./actor\":406,\"./util\":424,\"./web_worker\":411}],416:[function(t,e,r){\"use strict\";var n=t(\"./util\"),i={on:function(t,e){return this._events=this._events||{},this._events[t]=this._events[t]||[],this._events[t].push(e),this},off:function(t,e){if(!t)return delete this._events,this;if(!this.listens(t))return this;if(e){var r=this._events[t].indexOf(e);r>=0&&this._events[t].splice(r,1),this._events[t].length||delete this._events[t]}else delete this._events[t];return this},once:function(t,e){var r=function(n){this.off(t,r),e.call(this,n)}.bind(this);return this.on(t,r),this},fire:function(t,e){if(!this.listens(t))return n.endsWith(t,\"error\")&&console.error(e&&e.error||e||\"Empty error event\"),this;e=n.extend({},e),n.extend(e,{type:t,target:this});for(var r=this._events[t].slice(),i=0;i<r.length;i++)r[i].call(this,e);return this},listens:function(t){return!(!this._events||!this._events[t])}};e.exports=i},{\"./util\":424}],417:[function(t,e,r){\"use strict\";function n(t,e){this.stacks=t.readFields(i,[],e)}function i(t,e,r){if(1===t){var n=r.readMessage(a,{glyphs:{}});e.push(n)}}function a(t,e,r){if(1===t)e.name=r.readString();else if(2===t)e.range=r.readString();else if(3===t){var n=r.readMessage(o,{});e.glyphs[n.id]=n}}function o(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}e.exports=n},{}],418:[function(t,e,r){\"use strict\";function n(t,e,r){return t*(1-r)+e*r}e.exports=n,n.number=n,n.vec2=function(t,e,r){return[n(t[0],e[0],r),n(t[1],e[1],r)]},n.color=function(t,e,r){return[n(t[0],e[0],r),n(t[1],e[1],r),n(t[2],e[2],r),n(t[3],e[3],r)]},n.array=function(t,e,r){return t.map(function(t,i){return n(t,e[i],r)})}},{}],419:[function(t,e,r){\"use 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n=e.unit,i=e.target;n>=0&&(t.activeTexture(un+n),t.bindTexture(i,null),rt[n]=null),t.deleteTexture(r),e.texture=null,e.params=null,e.pixels=null,e.refCount=0,delete tt[e.id],a.textureCount--}function C(e,n){function i(t,e){var n=c.texInfo;M.call(n);var a=_();return\"number\"==typeof t?\"number\"==typeof e?y(a,0|t,0|e):y(a,0|t,0|t):t?(de.type(t,\"object\",\"invalid arguments to regl.texture\"),k(n,t),b(a,t)):y(a,1,1),n.genMipmaps&&(a.mipmask=(a.width<<1)-1),c.mipmask=a.mipmask,l(c,a),de.texture2D(n,a,r),c.internalformat=a.internalformat,i.width=a.width,i.height=a.height,S(c),x(a,nr),A(n,nr),E(),w(a),o.profile&&(c.stats.size=Ct(c.internalformat,c.type,a.width,a.height,n.genMipmaps,!1)),i.format=q[c.internalformat],i.type=G[c.type],i.mag=Y[n.magFilter],i.min=W[n.minFilter],i.wrapS=X[n.wrapS],i.wrapT=X[n.wrapT],i}function s(t,e,r,n){de(!!t,\"must specify image data\");var a=0|e,o=0|r,s=0|n,u=m();return 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c,h=C.texInfo;for(M.call(h),c=0;c<6;++c)z[c]=_();if(\"number\"!=typeof t&&t)if(\"object\"==typeof t)if(e)b(z[0],t),b(z[1],e),b(z[2],n),b(z[3],i),b(z[4],a),b(z[5],s);else if(k(h,t),u(C,t),\"faces\"in t){var f=t.faces;for(de(Array.isArray(f)&&6===f.length,\"cube faces must be a length 6 array\"),c=0;c<6;++c)de(\"object\"==typeof f[c]&&!!f[c],\"invalid input for cube map face\"),l(z[c],C),b(z[c],f[c])}else for(c=0;c<6;++c)b(z[c],t);else de.raise(\"invalid arguments to cube map\");else{var p=0|t||1;for(c=0;c<6;++c)y(z[c],p,p)}for(l(C,z[0]),h.genMipmaps?C.mipmask=(z[0].width<<1)-1:C.mipmask=z[0].mipmask,de.textureCube(C,h,z,r),C.internalformat=z[0].internalformat,d.width=z[0].width,d.height=z[0].height,S(C),c=0;c<6;++c)x(z[c],ar+c);for(A(h,ir),E(),o.profile&&(C.stats.size=Ct(C.internalformat,C.type,d.width,d.height,h.genMipmaps,!0)),d.format=q[C.internalformat],d.type=G[C.type],d.mag=Y[h.magFilter],d.min=W[h.minFilter],d.wrapS=X[h.wrapS],d.wrapT=X[h.wrapT],c=0;c<6;++c)w(z[c]);return 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o=r.points[n[a]];i.push(o.numPoints?s(o):this.points[o.id])}return i},getChildren:function(t,e){for(var r=this.trees[e+1].points[t],n=this.options.radius/(this.options.extent*Math.pow(2,e)),i=this.trees[e+1].within(r.x,r.y,n),a=[],o=0;o<i.length;o++){var l=this.trees[e+1].points[i[o]];l.parentId===t&&a.push(l.numPoints?s(l):this.points[l.id])}return a},getLeaves:function(t,e,r,n){r=r||10,n=n||0;var i=[];return this._appendLeaves(i,t,e,r,n,0),i},getTile:function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options.extent,o=this.options.radius,s=o/a,l=(r-s)/i,u=(r+1+s)/i,c={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,u),n.points,e,r,i,c),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,u),n.points,i,r,i,c),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,u),n.points,-1,r,i,c),c.features.length?c:null},getClusterExpansionZoom:function(t,e){for(;e<this.options.maxZoom;){var r=this.getChildren(t,e);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},_appendLeaves:function(t,e,r,n,i,a){for(var o=this.getChildren(e,r),s=0;s<o.length;s++){var l=o[s].properties;if(l.cluster?a+l.point_count<=i?a+=l.point_count:a=this._appendLeaves(t,l.cluster_id,r+1,n,i,a):a<i?a++:t.push(o[s]),t.length===n)break}return a},_addTileFeatures:function(t,e,r,n,i,a){for(var o=0;o<t.length;o++){var s=e[t[o]];a.features.push({type:1,geometry:[[Math.round(this.options.extent*(s.x*i-r)),Math.round(this.options.extent*(s.y*i-n))]],tags:s.numPoints?l(s):this.points[s.id].properties})}},_limitZoom:function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},_cluster:function(t,e){for(var r=[],n=this.options.radius/(this.options.extent*Math.pow(2,e)),i=0;i<t.length;i++){var o=t[i];if(!(o.zoom<=e)){o.zoom=e;var s=this.trees[e+1],l=s.within(o.x,o.y,n),u=o.numPoints||1,c=o.x*u,h=o.y*u,f=null;this.options.reduce&&(f=this.options.initial(),this._accumulate(f,o));for(var d=0;d<l.length;d++){var p=s.points[l[d]];if(e<p.zoom){var m=p.numPoints||1;p.zoom=e,c+=p.x*m,h+=p.y*m,u+=m,p.parentId=i,this.options.reduce&&this._accumulate(f,p)}}1===u?r.push(o):(o.parentId=i,r.push(a(c/u,h/u,u,i,f)))}}return r},_accumulate:function(t,e){var r=e.numPoints?e.properties:this.options.map(this.points[e.id].properties);this.options.reduce(t,r)}}},{kdbush:280}],510:[function(t,e,r){\"use strict\";function n(t){return t.split(\"\").map(function(t){return t in i?i[t]:\"\"}).join(\"\")}e.exports=n;var i={\" \":\" 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u=0;u<1<<r;++u)a.push(\"p\"+u),l.push(\"p\"+u);a.push(\"a\",\"b\",\"c\"),l.push(\"a\",\"c\"),n.push(\"vertex:function vertexFunc(\",a.join(),\"){\");for(var c=[],u=0;u<1<<r;++u)c.push(\"(p\"+u+\"<<\"+u+\")\");n.push(\"var m=(\",c.join(\"+\"),\")|0;if(m===0||m===\",(1<<(1<<r))-1,\"){return}\");var h=[],f=[];1<<(1<<r)<=128?(n.push(\"switch(m){\"),f=n):n.push(\"switch(m>>>7){\");for(var u=0;u<1<<(1<<r);++u){if(1<<(1<<r)>128&&u%128==0){h.length>0&&f.push(\"}}\");var d=\"vExtra\"+h.length;n.push(\"case \",u>>>7,\":\",d,\"(m&0x7f,\",l.join(),\");break;\"),f=[\"function \",d,\"(m,\",l.join(),\"){switch(m){\"],h.push(f)}f.push(\"case \",127&u,\":\");for(var p=new Array(r),m=new Array(r),g=new Array(r),v=new Array(r),y=0,b=0;b<r;++b)p[b]=[],m[b]=[],g[b]=0,v[b]=0;for(var b=0;b<1<<r;++b)for(var x=0;x<r;++x){var _=b^1<<x;if(!(_>b)&&!(u&1<<_)!=!(u&1<<b)){var w=1;u&1<<_?m[x].push(\"v\"+_+\"-v\"+b):(m[x].push(\"v\"+b+\"-v\"+_),w=-w),w<0?(p[x].push(\"-v\"+b+\"-v\"+_),g[x]+=2):(p[x].push(\"v\"+b+\"+v\"+_),g[x]-=2),y+=1;for(var M=0;M<r;++M)M!==x&&(_&1<<M?v[M]+=1:v[M]-=1)}}for(var k=[],x=0;x<r;++x)if(0===p[x].length)k.push(\"d\"+x+\"-0.5\");else{var A=\"\";g[x]<0?A=g[x]+\"*c\":g[x]>0&&(A=\"+\"+g[x]+\"*c\");var T=p[x].length/y*.5,S=.5+v[x]/y*.5;k.push(\"d\"+x+\"-\"+S+\"-\"+T+\"*(\"+p[x].join(\"+\")+A+\")/(\"+m[x].join(\"+\")+\")\")}f.push(\"a.push([\",k.join(),\"]);\",\"break;\")}n.push(\"}},\"),h.length>0&&f.push(\"}}\");for(var E=[],u=0;u<1<<r-1;++u)E.push(\"v\"+u);E.push(\"c0\",\"c1\",\"p0\",\"p1\",\"a\",\"b\",\"c\"),n.push(\"cell:function cellFunc(\",E.join(),\"){\");var L=s(r-1);n.push(\"if(p0){b.push(\",L.map(function(t){return\"[\"+t.map(function(t){return\"v\"+t})+\"]\"}).join(),\")}else{b.push(\",L.map(function(t){var e=t.slice();return e.reverse(),\"[\"+e.map(function(t){return\"v\"+t})+\"]\"}).join(),\")}}});function \",i,\"(array,level){var verts=[],cells=[];contour(array,verts,cells,level);return {positions:verts,cells:cells};} return \",i,\";\");for(var u=0;u<h.length;++u)n.push(h[u].join(\"\"));return new Function(\"genContour\",n.join(\"\"))(o)}function i(t,e){for(var r=l(t,e),n=r.length,i=new Array(n),a=new Array(n),o=0;o<n;++o)i[o]=[r[o]],a[o]=[o];return{positions:i,cells:a}}function a(t,e){if(t.dimension<=0)return{positions:[],cells:[]};if(1===t.dimension)return i(t,e);var r=t.order.join()+\"-\"+t.dtype,a=u[r],e=+e||0;return a||(a=u[r]=n(t.order,t.dtype)),a(t,e)}e.exports=a;var o=t(\"ndarray-extract-contour\"),s=t(\"triangulate-hypercube\"),l=t(\"zero-crossings\"),u={}},{\"ndarray-extract-contour\":438,\"triangulate-hypercube\":517,\"zero-crossings\":564}],512:[function(t,e,r){(function(r){\"use strict\";function n(t){for(var e=t.cells,r=t.positions,n=new Float32Array(6*e.length),i=0,a=0,o=0;o<e.length;++o)for(var s=e[o],l=0;l<3;++l){var u=r[s[l]];n[i++]=u[0],n[i++]=u[1]+1.4,a=Math.max(u[0],a)}return{data:n,shape:a}}function i(t,e,r){var r=r||{},o=s[t];o||(o=s[t]={\" \":{data:new Float32Array(0),shape:.2}});var l=o[e];if(!l)if(e.length<=1||!/\\d/.test(e))l=o[e]=n(a(e,{triangles:!0,font:t,textAlign:r.textAlign||\"left\",textBaseline:\"alphabetic\"}));else{for(var u=e.split(/(\\d|\\s)/),c=new Array(u.length),h=0,f=0,d=0;d<u.length;++d)c[d]=i(t,u[d]),h+=c[d].data.length,f+=c[d].shape,d>0&&(f+=.02);for(var p=new Float32Array(h),m=0,g=-.5*f,d=0;d<c.length;++d){for(var v=c[d].data,y=0;y<v.length;y+=2)p[m++]=v[y]+g,p[m++]=v[y+1];g+=c[d].shape+.02}l=o[e]={data:p,shape:f}}return l}e.exports=i;var a=t(\"vectorize-text\"),o=window||r.global||{},s=o.__TEXT_CACHE||{};o.__TEXT_CACHE={}}).call(this,t(\"_process\"))},{_process:468,\"vectorize-text\":534}],513:[function(t,e,r){\"use strict\";function n(t,e,r,n,i){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||\"sans-serif\",this.radius=r||8;var a=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=a,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=t+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(a*a),this.gridInner=new Float64Array(a*a),this.f=new Float64Array(a),this.d=new Float64Array(a),this.z=new Float64Array(a+1),this.v=new Int16Array(a),this.middle=Math.round(a/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function i(t,e,r,n,i,o,s){for(var l=0;l<e;l++){for(var u=0;u<r;u++)n[u]=t[u*e+l];for(a(n,i,o,s,r),u=0;u<r;u++)t[u*e+l]=i[u]}for(u=0;u<r;u++){for(l=0;l<e;l++)n[l]=t[u*e+l];for(a(n,i,o,s,e),l=0;l<e;l++)t[u*e+l]=Math.sqrt(i[l])}}function a(t,e,r,n,i){r[0]=0,n[0]=-o,n[1]=+o;for(var a=1,s=0;a<i;a++){for(var l=(t[a]+a*a-(t[r[s]]+r[s]*r[s]))/(2*a-2*r[s]);l<=n[s];)s--,l=(t[a]+a*a-(t[r[s]]+r[s]*r[s]))/(2*a-2*r[s]);s++,r[s]=a,n[s]=l,n[s+1]=+o}for(a=0,s=0;a<i;a++){for(;n[s+1]<a;)s++;e[a]=(a-r[s])*(a-r[s])+t[r[s]]}}e.exports=n;var o=1e20;n.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=e.data,n=0;n<this.size*this.size;n++){var a=r[4*n+3]/255;this.gridOuter[n]=1===a?0:0===a?o:Math.pow(Math.max(0,.5-a),2),this.gridInner[n]=1===a?o:0===a?0:Math.pow(Math.max(0,a-.5),2)}for(i(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),i(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var s=this.gridOuter[n]-this.gridInner[n],l=Math.max(0,Math.min(255,Math.round(255-255*(s/this.radius+this.cutoff))));r[4*n+0]=l,r[4*n+1]=l,r[4*n+2]=l,r[4*n+3]=255}return e}},{}],514:[function(e,r,n){!function(e){function 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e=this._validate(t,this.minMonth,this.minDay,i.local.invalidYear),t=e.year()+(e.year()<0?1:0);return t%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,i.local.invalidYear||i.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,i.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidDate);return t=n.year(),t<0&&t++,n.day()+30*(n.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return 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this._validate(t,this.minMonth,this.minDay,i.local.invalidYear),13},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,i.local.invalidYear),400},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/8)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,i.local.invalidMonth);return this.daysPerMonth[r.month()-1]},daysInWeek:function(){return 8},dayOfWeek:function(t,e,r){return(this._validate(t,e,r,i.local.invalidDate).day()+1)%8},weekDay:function(t,e,r){var n=this.dayOfWeek(t,e,r);return n>=2&&n<=6},extraInfo:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidDate);return{century:o[Math.floor((n.year()-1)/100)+1]||\"\"}},toJD:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidDate);return t=n.year()+(n.year()<0?1:0),e=n.month(),(r=n.day())+(e>1?16:0)+(e>2?32*(e-2):0)+400*(t-1)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t+.5)-Math.floor(this.jdEpoch)-1;var e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};i.calendars.discworld=n},{\"../main\":561,\"object-assign\":452}],550:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}var i=t(\"../main\"),a=t(\"object-assign\");n.prototype=new 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this._validate(t,this.minMonth,this.minDay,i.local.invalidYear||i.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,i.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidDate);return t=n.year(),t<0&&t++,n.day()+30*(n.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return this.newDate(r,n,i)}}),i.calendars.ethiopian=n},{\"../main\":561,\"object-assign\":452}],551:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function i(t,e){return t-e*Math.floor(t/e)}var a=t(\"../main\"),o=t(\"object-assign\");n.prototype=new a.baseCalendar,o(n.prototype,{name:\"Hebrew\",jdEpoch:347995.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29,29],hasYearZero:!1,minMonth:1,firstMonth:7,minDay:1,regionalOptions:{\"\":{name:\"Hebrew\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Nisan\",\"Iyar\",\"Sivan\",\"Tammuz\",\"Av\",\"Elul\",\"Tishrei\",\"Cheshvan\",\"Kislev\",\"Tevet\",\"Shevat\",\"Adar\",\"Adar II\"],monthNamesShort:[\"Nis\",\"Iya\",\"Siv\",\"Tam\",\"Av\",\"Elu\",\"Tis\",\"Che\",\"Kis\",\"Tev\",\"She\",\"Ada\",\"Ad2\"],dayNames:[\"Yom Rishon\",\"Yom Sheni\",\"Yom Shlishi\",\"Yom Revi'i\",\"Yom Chamishi\",\"Yom Shishi\",\"Yom 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       ";return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return t=this._validate(t,this.minMonth,this.minDay,a.local.invalidYear).year(),this.toJD(t===-1?1:t+1,7,1)-this.toJD(t,7,1)},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,a.local.invalidMonth),12===e&&this.leapYear(t)?30:8===e&&5===i(this.daysInYear(t),10)?30:9===e&&3===i(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var n=this._validate(t,e,r,a.local.invalidDate);return{yearType:(this.leapYear(n)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(n)%10-3]}},toJD:function(t,e,r){var n=this._validate(t,e,r,a.local.invalidDate);t=n.year(),e=n.month(),r=n.day();var i=t<=0?t+1:t,o=this.jdEpoch+this._delay1(i)+this._delay2(i)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(var s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(var s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return i(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(e===-1?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),a.calendars.hebrew=n},{\"../main\":561,\"object-assign\":452}],552:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}var i=t(\"../main\"),a=t(\"object-assign\");n.prototype=new i.baseCalendar,a(n.prototype,{name:\"Islamic\",jdEpoch:1948439.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Islamic\",epochs:[\"BH\",\"AH\"],monthNames:[\"Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' al-thani\",\"Jumada al-awwal\",\"Jumada al-thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-ahad\",\"Yawm al-ithnayn\",\"Yawm ath-thulaathaa'\",\"Yawm al-arbi'aa'\",\"Yawm al-kham\\u012bs\",\"Yawm al-jum'a\",\"Yawm as-sabt\"],dayNamesShort:[\"Aha\",\"Ith\",\"Thu\",\"Arb\",\"Kha\",\"Jum\",\"Sab\"],dayNamesMin:[\"Ah\",\"It\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!1}},leapYear:function(t){return(11*this._validate(t,this.minMonth,this.minDay,i.local.invalidYear).year()+14)%30<11},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return this.leapYear(t)?355:354},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,i.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidDate);return t=n.year(),e=n.month(),r=n.day(),t=t<=0?t+1:t,r+Math.ceil(29.5*(e-1))+354*(t-1)+Math.floor((3+11*t)/30)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t)+.5;var e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),i.calendars.islamic=n},{\"../main\":561,\"object-assign\":452}],553:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}var i=t(\"../main\"),a=t(\"object-assign\");n.prototype=new i.baseCalendar,a(n.prototype,{name:\"Julian\",jdEpoch:1721423.5,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Julian\",epochs:[\"BC\",\"AD\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"mm/dd/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,i.local.invalidYear),t=e.year()<0?e.year()+1:e.year();return t%4==0},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,i.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidDate);return t=n.year(),e=n.month(),r=n.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5),r=e+1524,n=Math.floor((r-122.1)/365.25),i=Math.floor(365.25*n),a=Math.floor((r-i)/30.6001),o=a-Math.floor(a<14?1:13),s=n-Math.floor(o>2?4716:4715),l=r-i-Math.floor(30.6001*a);return s<=0&&s--,this.newDate(s,o,l)}}),i.calendars.julian=n},{\"../main\":561,\"object-assign\":452}],554:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function i(t,e){return t-e*Math.floor(t/e)}function a(t,e){return 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this._validate(t,this.minMonth,this.minDay,o.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,o.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if(t=t.split(\".\"),t.length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,o.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,o.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,o.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,o.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,o.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,o.local.invalidDate),!0},extraInfo:function(t,e,r){var n=this._validate(t,e,r,o.local.invalidDate),i=n.toJD(),a=this._toHaab(i),s=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[s[0]-1],tzolkinDay:s[0],tzolkinTrecena:s[1]}},_toHaab:function(t){t-=this.jdEpoch;var e=i(t+8+340,365);return[Math.floor(e/20)+1,i(e,20)]},_toTzolkin:function(t){return t-=this.jdEpoch,[a(t+20,20),a(t+4,13)]},toJD:function(t,e,r){var n=this._validate(t,e,r,o.local.invalidDate);return n.day()+20*n.month()+360*n.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),o.calendars.mayan=n},{\"../main\":561,\"object-assign\":452}],555:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}var i=t(\"../main\"),a=t(\"object-assign\");n.prototype=new i.baseCalendar;var o=i.instance(\"gregorian\");a(n.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,i.local.invalidYear||i.regionalOptions[\"\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,i.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidMonth),t=n.year();t<0&&t++;for(var a=n.day(),s=1;s<n.month();s++)a+=this.daysPerMonth[s-1];return a+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return 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n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,i.local.invalidYear).year(),void 0===this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,i.local.invalidMonth),void 0===this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidDate);t=n.year(),e=n.month(),r=n.day();var a=i.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var u=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(u)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(u,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=i.instance(),r=e.fromJD(t),n=r.year(),a=r.dayOfYear(),o=n+56;this._createMissingCalendarData(o);for(var s=9,l=this.NEPALI_CALENDAR_DATA[o][0],u=this.NEPALI_CALENDAR_DATA[o][s]-l+1;a>u;)s++,s>12&&(s=1,o++),u+=this.NEPALI_CALENDAR_DATA[o][s];var c=this.NEPALI_CALENDAR_DATA[o][s]-(u-a);return this.newDate(o,s,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 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e=this._validate(t,this.minMonth,this.minDay,a.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,a.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var n=this._validate(t,e,r,a.local.invalidDate);t=n.year(),e=n.month(),r=n.day();var o=t-(t>=0?474:473),s=474+i(o,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(o/2820)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t)+.5;var e=t-this.toJD(475,1,1),r=Math.floor(e/1029983),n=i(e,1029983),a=2820;if(1029982!==n){var o=Math.floor(n/366),s=i(n,366);a=Math.floor((2134*o+2816*s+2815)/1028522)+o+1}var l=a+2820*r+474;l=l<=0?l-1:l;var 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i=t(\"../main\"),a=t(\"object-assign\"),o=i.instance();n.prototype=new i.baseCalendar,a(n.prototype,{name:\"Thai\",jdEpoch:1523098.5,yearsOffset:543,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Thai\",epochs:[\"BBE\",\"BE\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,i.local.invalidYear),t=this._t2gYear(e.year());return 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i=t(\"../main\"),a=t(\"object-assign\");n.prototype=new i.baseCalendar,a(n.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thal\\u0101th\\u0101\\u2019\",\"Yawm al-Arba\\u2018\\u0101\\u2019\",\"Yawm al-Kham\\u012bs\",\"Yawm al-Jum\\u2018a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,i.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,i.local.invalidMonth),n=r.toJD()-24e5+.5,a=0,s=0;s<o.length;s++){if(o[s]>n)return o[a]-o[a-1];a++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidDate),a=12*(n.year()-1)+n.month()-15292;return n.day()+o[a-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;n<o.length&&!(o[n]>e);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),s=a+1,l=i-12*a,u=e-o[r-1]+1;return this.newDate(s,l,u)},isValid:function(t,e,r){var n=i.baseCalendar.prototype.isValid.apply(this,arguments);return n&&(t=null!=t.year?t.year:t,n=t>=1276&&t<=1500),n},_validate:function(t,e,r,n){var a=i.baseCalendar.prototype._validate.apply(this,arguments);if(a.year<1276||a.year>1500)throw n.replace(/\\{0\\}/,this.local.name);return a}}),i.calendars.ummalqura=n\n",
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n(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function i(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function a(t,e){return t=\"\"+t,\"000000\".substring(0,e-t.length)+t}function o(){this.shortYearCutoff=\"+10\"}function s(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}var l=t(\"object-assign\");l(n.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance(),n.newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,function(e){return t[e]})}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),l(i.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(u.local.differentCalendars||u.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+a(Math.abs(this.year()),4)+\"-\"+a(this.month(),2)+\"-\"+a(this.day(),2)}}),l(o.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new i(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+a(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0),i=t.day();\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(!function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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i=Math.min(r,n),a=Math.max(r,n);i!==a?(f[e]=i,f[e+2]=a,u.dataBox=f,t.setRanges(f)):(t.selectBox.selectBox=[0,0,1,1],t.glplot.setDirty())}var c,h,f=t.calcDataBox(),d=l.viewBox,p=u.lastPos[0],m=u.lastPos[1],g=s.MINDRAG*l.pixelRatio,v=s.MINZOOM*l.pixelRatio;switch(i*=l.pixelRatio,a*=l.pixelRatio,a=d[3]-d[1]-a,t.fullLayout.dragmode){case\"zoom\":if(n){var y=i/(d[2]-d[0])*(f[2]-f[0])+f[0],b=a/(d[3]-d[1])*(f[3]-f[1])+f[1];u.boxInited||(u.boxStart[0]=y,u.boxStart[1]=b,u.dragStart[0]=i,u.dragStart[1]=a),u.boxEnd[0]=y,u.boxEnd[1]=b,u.boxInited=!0,u.boxEnabled||u.boxStart[0]===u.boxEnd[0]&&u.boxStart[1]===u.boxEnd[1]||(u.boxEnabled=!0);var x=Math.abs(u.dragStart[0]-i)<v,_=Math.abs(u.dragStart[1]-a)<v;if(!r()||x&&_)x&&(u.boxEnd[0]=u.boxStart[0]),_&&(u.boxEnd[1]=u.boxStart[1]);else{c=u.boxEnd[0]-u.boxStart[0],h=u.boxEnd[1]-u.boxStart[1];var w=(f[3]-f[1])/(f[2]-f[0]);Math.abs(c*w)>Math.abs(h)?(u.boxEnd[1]=u.boxStart[1]+Math.abs(c)*w*(Math.sign(h)||1),u.boxEnd[1]<f[1]?(u.boxEnd[1]=f[1],u.boxEnd[0]=u.boxStart[0]+(f[1]-u.boxStart[1])/Math.abs(w)):u.boxEnd[1]>f[3]&&(u.boxEnd[1]=f[3],u.boxEnd[0]=u.boxStart[0]+(f[3]-u.boxStart[1])/Math.abs(w))):(u.boxEnd[0]=u.boxStart[0]+Math.abs(h)/w*(Math.sign(c)||1),u.boxEnd[0]<f[0]?(u.boxEnd[0]=f[0],u.boxEnd[1]=u.boxStart[1]+(f[0]-u.boxStart[0])*Math.abs(w)):u.boxEnd[0]>f[2]&&(u.boxEnd[0]=f[2],u.boxEnd[1]=u.boxStart[1]+(f[2]-u.boxStart[0])*Math.abs(w)))}}else u.boxEnabled&&(c=u.boxStart[0]!==u.boxEnd[0],h=u.boxStart[1]!==u.boxEnd[1],c||h?(c&&(o(0,u.boxStart[0],u.boxEnd[0]),t.xaxis.autorange=!1),h&&(o(1,u.boxStart[1],u.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),u.boxEnabled=!1,u.boxInited=!1);break;case\"pan\":u.boxEnabled=!1,u.boxInited=!1,n?(u.panning||(u.dragStart[0]=i,u.dragStart[1]=a),Math.abs(u.dragStart[0]-i)<g&&(i=u.dragStart[0]),Math.abs(u.dragStart[1]-a)<g&&(a=u.dragStart[1]),c=(p-i)*(f[2]-f[0])/(l.viewBox[2]-l.viewBox[0]),h=(m-a)*(f[3]-f[1])/(l.viewBox[3]-l.viewBox[1]),f[0]+=c,f[2]+=c,f[1]+=h,f[3]+=h,t.setRanges(f),u.panning=!0,u.lastInputTime=Date.now(),e(),t.cameraChanged(),t.handleAnnotations()):u.panning&&(u.panning=!1,t.relayoutCallback())}u.lastPos[0]=i,u.lastPos[1]=a}),u.wheelListener=o(i,function(r,n){var i=t.calcDataBox(),a=l.viewBox,o=u.lastPos[0],s=u.lastPos[1];switch(t.fullLayout.dragmode){case\"zoom\":break;case\"pan\":var c=Math.exp(.1*n/(a[3]-a[1])),h=o/(a[2]-a[0])*(i[2]-i[0])+i[0],f=s/(a[3]-a[1])*(i[3]-i[1])+i[1];i[0]=(i[0]-h)*c+h,i[2]=(i[2]-h)*c+h,i[1]=(i[1]-f)*c+f,i[3]=(i[3]-f)*c+f,t.setRanges(i),u.lastInputTime=Date.now(),e(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback()}return!0}),u}var a=t(\"mouse-change\"),o=t(\"mouse-wheel\"),s=t(\"../cartesian/constants\");e.exports=i},{\"../cartesian/constants\":729,\"mouse-change\":434,\"mouse-wheel\":437}],763:[function(t,e,r){\"use strict\";function n(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=[\"x\",\"y\"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=[\"sans-serif\",\"sans-serif\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title=\"\",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont=\"sans-serif\",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}function i(t){return new n(t)}var a=t(\"../plots\"),o=t(\"../cartesian/axes\"),s=t(\"../../lib/html2unicode\"),l=t(\"../../lib/str2rgbarray\"),u=n.prototype,c=[\"xaxis\",\"yaxis\"];u.merge=function(t){this.titleEnable=!1,this.backgroundColor=l(t.plot_bgcolor);var e,r,n,i,a,o,u,h,f,d,p;for(d=0;d<2;++d){for(e=c[d],r=t[this.scene[e]._name],n=/Click to enter .+ title/.test(r.title)?\"\":r.title,p=0;p<=2;p+=2)this.labelEnable[d+p]=!1,this.labels[d+p]=s(n),this.labelColor[d+p]=l(r.titlefont.color),this.labelFont[d+p]=r.titlefont.family,this.labelSize[d+p]=r.titlefont.size,this.labelPad[d+p]=this.getLabelPad(e,r),this.tickEnable[d+p]=!1,this.tickColor[d+p]=l((r.tickfont||{}).color),this.tickAngle[d+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[d+p]=this.getTickPad(r),this.tickMarkLength[d+p]=0,this.tickMarkWidth[d+p]=r.tickwidth||0,this.tickMarkColor[d+p]=l(r.tickcolor),this.borderLineEnable[d+p]=!1,this.borderLineColor[d+p]=l(r.linecolor),this.borderLineWidth[d+p]=r.linewidth||0;u=this.hasSharedAxis(r),a=this.hasAxisInDfltPos(e,r)&&!u,o=this.hasAxisInAltrPos(e,r)&&!u,i=r.mirror||!1,h=u?String(i).indexOf(\"all\")!==-1:!!i,f=u?\"allticks\"===i:String(i).indexOf(\"ticks\")!==-1,a?this.labelEnable[d]=!0:o&&(this.labelEnable[d+2]=!0),a?this.tickEnable[d]=r.showticklabels:o&&(this.tickEnable[d+2]=r.showticklabels),(a||h)&&(this.borderLineEnable[d]=r.showline),(o||h)&&(this.borderLineEnable[d+2]=r.showline),(a||f)&&(this.tickMarkLength[d]=this.getTickMarkLength(r)),(o||f)&&(this.tickMarkLength[d+2]=this.getTickMarkLength(r)),this.gridLineEnable[d]=r.showgrid,this.gridLineColor[d]=l(r.gridcolor),this.gridLineWidth[d]=r.gridwidth,this.zeroLineEnable[d]=r.zeroline,this.zeroLineColor[d]=l(r.zerolinecolor),this.zeroLineWidth[d]=r.zerolinewidth}},u.hasSharedAxis=function(t){var e=this.scene,r=a.getSubplotIds(e.fullLayout,\"gl2d\");return 0!==o.findSubplotsWithAxis(r,t).indexOf(e.id)},u.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},u.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},u.getLabelPad=function(t,e){var r=e.titlefont.size,n=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?r*(1.5+(n?1:0))-10:r*(1.5+(n?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+r*(1.5+(n?1:.5)):10+r*(1.5+(n?.5:0)):void 0},u.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},u.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},e.exports=i},{\"../../lib/html2unicode\":683,\"../../lib/str2rgbarray\":703,\"../cartesian/axes\":724,\"../plots\":787}],764:[function(t,e,r){\"use strict\";var n=t(\"./scene2d\"),i=t(\"../plots\"),a=t(\"../../constants/xmlns_namespaces\");r.name=\"gl2d\",r.attr=[\"xaxis\",\"yaxis\"],r.idRoot=[\"x\",\"y\"],r.idRegex={x:/^x([2-9]|[1-9][0-9]+)?$/,y:/^y([2-9]|[1-9][0-9]+)?$/},r.attrRegex={x:/^xaxis([2-9]|[1-9][0-9]+)?$/,y:/^yaxis([2-9]|[1-9][0-9]+)?$/},r.attributes=t(\"../cartesian/attributes\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,a=i.getSubplotIds(e,\"gl2d\"),o=0;o<a.length;o++){var s=a[o],l=e._plots[s],u=i.getSubplotData(r,\"gl2d\",s),c=l._scene2d;void 0===c&&(c=new n({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),l._scene2d=c),c.plot(u,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var a=i.getSubplotIds(n,\"gl2d\"),o=0;o<a.length;o++){var s=a[o],l=n._plots[s];if(l._scene2d){0===i.getSubplotData(t,\"gl2d\",s).length&&(l._scene2d.destroy(),delete n._plots[s])}}},r.toSVG=function(t){for(var e=t._fullLayout,r=i.getSubplotIds(e,\"gl2d\"),n=0;n<r.length;n++){var o=e._plots[r[n]],s=o._scene2d,l=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:a.svg,\"xlink:href\":l,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),s.destroy()}}},{\"../../constants/xmlns_namespaces\":668,\"../cartesian/attributes\":723,\"../plots\":787,\"./scene2d\":765}],765:[function(t,e,r){\"use strict\";function n(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.glplotOptions=p(this),this.glplotOptions.merge(e),this.glplot=c(this.glplotOptions),this.camera=m(this),this.traces={},this.spikes=h(this.glplot),this.selectBox=f(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.bounds=[1/0,1/0,-1/0,-1/0],this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw()}function i(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1}var a,o,s=t(\"../../registry\"),l=t(\"../../plots/cartesian/axes\"),u=t(\"../../plots/cartesian/graph_interact\"),c=t(\"gl-plot2d\"),h=t(\"gl-spikes2d\"),f=t(\"gl-select-box\"),d=t(\"webgl-context\"),p=t(\"./convert\"),m=t(\"./camera\"),g=t(\"../../lib/html2unicode\"),v=t(\"../../lib/show_no_webgl_msg\"),y=t(\"../../plots/cartesian/constraints\"),b=[\"xaxis\",\"yaxis\"];e.exports=n;var x=n.prototype;x.makeFramework=function(){if(this.staticPlot){if(!(o||(a=document.createElement(\"canvas\"),o=d({canvas:a,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=a,this.gl=o}else{var t=document.createElement(\"canvas\"),e=d({canvas:t,premultipliedAlpha:!0});e||v(this),this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r),r.className+=\"user-select-none\";var n=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");n.style.position=\"absolute\",n.style.top=n.style.left=\"0px\",n.style.width=n.style.height=\"100%\",n.style[\"z-index\"]=20,n.style[\"pointer-events\"]=\"none\";var i=this.mouseContainer=document.createElement(\"div\");i.style.position=\"absolute\";var s=this.container;s.appendChild(r),s.appendChild(n),s.appendChild(i)},x.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(a),this.updateSize(this.canvas),this.glplot.setDirty(),this.glplot.draw();var e=this.glplot.gl,r=e.drawingBufferWidth,n=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var i=new Uint8Array(r*n*4);e.readPixels(0,0,r,n,e.RGBA,e.UNSIGNED_BYTE,i);for(var o=0,s=n-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var u=0;u<4;++u){var c=i[4*(r*o+l)+u];i[4*(r*o+l)+u]=i[4*(r*s+l)+u],i[4*(r*s+l)+u]=c}var h=document.createElement(\"canvas\");h.width=r,h.height=n;var f=h.getContext(\"2d\"),d=f.createImageData(r,n);d.data.set(i),f.putImageData(d,0,0);var p;switch(t){case\"jpeg\":p=h.toDataURL(\"image/jpeg\");break;case\"webp\":p=h.toDataURL(\"image/webp\");break;default:p=h.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(a),p},x.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),this.redraw&&this.redraw(),t},x.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale(),this.xaxis._length=this.glplot.viewBox[2]-this.glplot.viewBox[0],this.yaxis._length=this.glplot.viewBox[3]-this.glplot.viewBox[1];for(var t=[l.calcTicks(this.xaxis),l.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=g(t[e][r].text+\"\");return t},x.updateRefs=function(t){this.fullLayout=t;var e=l.subplotMatch,r=\"xaxis\"+this.id.match(e)[1],n=\"yaxis\"+this.id.match(e)[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},x.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout;n.xaxis.autorange=e.autorange,n.xaxis.range=e.range.slice(0),n.yaxis.autorange=r.autorange,n.yaxis.range=r.range.slice(0);var i={lastInputTime:this.camera.lastInputTime};i[e._name]=e.range.slice(0),i[r._name]=r.range.slice(0),t.emit(\"plotly_relayout\",i)},x.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();i(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},x.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&s.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},x.destroy=function(){var t=this.traces;t&&Object.keys(t).map(function(e){t[e].dispose(),delete t[e]}),this.glplot.dispose(),this.staticPlot||this.container.removeChild(this.canvas),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0},x.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.updateTraces(t,e);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s=r._size,u=this.xaxis.domain,c=this.yaxis.domain;o.viewBox=[s.l+u[0]*s.w,s.b+c[0]*s.h,i-s.r-(1-u[1])*s.w,a-s.t-(1-c[1])*s.h],this.mouseContainer.style.width=s.w*(u[1]-u[0])+\"px\",this.mouseContainer.style.height=s.h*(c[1]-c[0])+\"px\",this.mouseContainer.height=s.h*(c[1]-c[0]),this.mouseContainer.style.left=s.l+u[0]*s.w+\"px\",this.mouseContainer.style.top=s.t+(1-c[1])*s.h+\"px\";var h=this.bounds;h[0]=h[1]=1/0,h[2]=h[3]=-1/0;var f,d,p=Object.keys(this.traces);for(d=0;d<p.length;++d)for(var m=this.traces[p[d]],g=0;g<2;++g)h[g]=Math.min(h[g],m.bounds[g]),h[g+2]=Math.max(h[g+2],m.bounds[g+2]);for(d=0;d<2;++d)h[d]>h[d+2]&&(h[d]=-1,h[d+2]=1),f=this[b[d]],f._length=o.viewBox[d+2]-o.viewBox[d],l.doAutoRange(f),f.setScale();var v={_axisConstraintGroups:this.graphDiv._fullLayout._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis};y({_fullLayout:v}),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},x.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},x.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},x.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if(i=t[n],i.uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],u=this.traces[i.uid];u?u.update(i,l):(u=i._module.plot(this,i,l),this.traces[i.uid]=u)}this.glplot.objects.sort(function(t,e){return t._trace.index-e._trace.index})},x.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=0;i<this.fullData.length;i++)this.fullData[i].uid===n&&(r=this.fullData[i]);this.graphDiv.emit(e,{points:[{x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:t.pointIndex,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis}]})},x.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,s=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var l=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],c=0;c<2;c++)e.boxStart[c]===e.boxEnd[c]&&(l[c]=t.dataBox[c],l[c+2]=t.dataBox[c+2]);t.setDirty()}else if(!e.panning){this.selectBox.enabled=!1;var h=i._size,f=this.xaxis.domain,d=this.yaxis.domain;a=t.pick(o/t.pixelRatio+h.l+f[0]*h.w,s/t.pixelRatio-(h.t+(1-d[1])*h.h));var p=a&&a.object._trace.handlePick(a);if(p&&n&&this.emitPointAction(p,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&p&&(!this.lastPickResult||this.lastPickResult.traceUid!==p.trace.uid||this.lastPickResult.dataCoord[0]!==p.dataCoord[0]||this.lastPickResult.dataCoord[1]!==p.dataCoord[1])){var m=p;this.lastPickResult={traceUid:p.trace?p.trace.uid:null,dataCoord:p.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),m.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(p,\"plotly_hover\");var g=m.hoverinfo;if(\"all\"!==g){var v=g.split(\"+\");v.indexOf(\"x\")===-1&&(m.traceCoord[0]=void 0),v.indexOf(\"y\")===-1&&(m.traceCoord[1]=void 0),v.indexOf(\"z\")===-1&&(m.traceCoord[2]=void 0),v.indexOf(\"text\")===-1&&(m.textLabel=void 0),v.indexOf(\"name\")===-1&&(m.name=void 0)}u.loneHover({x:m.screenCoord[0],y:m.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",m.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",m.traceCoord[1]),zLabel:m.traceCoord[2],text:m.textLabel,name:m.name,color:m.color},{container:this.svgContainer})}}!a&&this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),u.loneUnhover(this.svgContainer)),t.draw()}},x.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return l.tickText(r,r.c2l(e),\"hover\").text}}},{\"../../lib/html2unicode\":683,\"../../lib/show_no_webgl_msg\":701,\"../../plots/cartesian/axes\":724,\"../../plots/cartesian/constraints\":731,\"../../plots/cartesian/graph_interact\":733,\"../../registry\":802,\"./camera\":762,\"./convert\":763,\"gl-plot2d\":203,\"gl-select-box\":237,\"gl-spikes2d\":246,\"webgl-context\":543}],766:[function(t,e,r){\"use strict\";function n(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];\"distanceLimits\"in e&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]),\"zoomMin\"in e&&(r[0]=e.zoomMin),\"zoomMax\"in e&&(r[1]=e.zoomMax);var n=a({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),l=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],u=0,c=t.clientWidth,h=t.clientHeight,f={keyBindingMode:\"rotate\",view:n,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:n.modes,tick:function(){var e=i(),r=this.delay,a=e-2*r;n.idle(e-r),n.recalcMatrix(a),n.flush(e-(100+2*r));for(var o=!0,s=n.computedMatrix,f=0;f<16;++f)o=o&&l[f]===s[f],l[f]=s[f];var d=t.clientWidth===c&&t.clientHeight===h;return c=t.clientWidth,h=t.clientHeight,o?!d:(u=Math.exp(n.computedRadius[0]),!0)},lookAt:function(t,e,r){n.lookAt(n.lastT(),t,e,r)},rotate:function(t,e,r){n.rotate(n.lastT(),t,e,r)},pan:function(t,e,r){n.pan(n.lastT(),t,e,r)},translate:function(t,e,r){n.translate(n.lastT(),t,e,r)}};Object.defineProperties(f,{matrix:{get:function(){return n.computedMatrix},set:function(t){return n.setMatrix(n.lastT(),t),n.computedMatrix},enumerable:!0},mode:{get:function(){return n.getMode()},set:function(t){var e=n.computedUp.slice(),r=n.computedEye.slice(),a=n.computedCenter.slice();if(n.setMode(t),\"turntable\"===t){var o=i();n._active.lookAt(o,r,a,e),n._active.lookAt(o+500,r,a,[0,0,1]),n._active.flush(o)}return n.getMode()},enumerable:!0},center:{get:function(){return n.computedCenter},set:function(t){return n.lookAt(n.lastT(),null,t),n.computedCenter},enumerable:!0},eye:{get:function(){return n.computedEye},set:function(t){return n.lookAt(n.lastT(),t),n.computedEye},enumerable:!0},up:{get:function(){return n.computedUp},set:function(t){return n.lookAt(n.lastT(),null,null,t),n.computedUp},enumerable:!0},distance:{get:function(){return u},set:function(t){return n.setDistance(n.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return n.getDistanceLimits(r)},set:function(t){return n.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",function(t){return t.preventDefault(),!1});var d=0,p=0;return o(t,function(e,r,a,o){var s=f.keyBindingMode;if(s!==!1){var l=\"rotate\"===s,c=\"pan\"===s,h=\"zoom\"===s,m=!!o.control,g=!!o.alt,v=!!o.shift,y=!!(1&e),b=!!(2&e),x=!!(4&e),_=1/t.clientHeight,w=_*(r-d),M=_*(a-p),k=f.flipX?1:-1,A=f.flipY?1:-1,T=i(),S=Math.PI*f.rotateSpeed;if((l&&y&&!m&&!g&&!v||y&&!m&&!g&&v)&&n.rotate(T,k*S*w,-A*S*M,0),(c&&y&&!m&&!g&&!v||b||y&&m&&!g&&!v)&&n.pan(T,-f.translateSpeed*w*u,f.translateSpeed*M*u,0),h&&y&&!m&&!g&&!v||x||y&&!m&&g&&!v){var E=-f.zoomSpeed*M/window.innerHeight*(T-n.lastT())*100;n.pan(T,0,0,u*(Math.exp(E)-1))}return d=r,p=a,!0}}),s(t,function(t,e){if(f.keyBindingMode!==!1){var r=f.flipX?1:-1,a=f.flipY?1:-1,o=i();if(Math.abs(t)>Math.abs(e))n.rotate(o,0,0,-t*r*Math.PI*f.rotateSpeed/window.innerWidth);else{var s=-f.zoomSpeed*a*e/window.innerHeight*(o-n.lastT())/100;n.pan(o,0,0,u*(Math.exp(s)-1))}}},!0),f}e.exports=n;var i=t(\"right-now\"),a=t(\"3d-view\"),o=t(\"mouse-change\"),s=t(\"mouse-wheel\")},{\"3d-view\":33,\"mouse-change\":434,\"mouse-wheel\":437,\"right-now\":483}],767:[function(t,e,r){\"use strict\";var n=t(\"./scene\"),i=t(\"../plots\"),a=t(\"../../lib\"),o=t(\"../../constants/xmlns_namespaces\");r.name=\"gl3d\",r.attr=\"scene\",r.idRoot=\"scene\",r.idRegex=/^scene([2-9]|[1-9][0-9]+)?$/,r.attrRegex=/^scene([2-9]|[1-9][0-9]+)?$/,r.attributes=t(\"./layout/attributes\"),r.layoutAttributes=t(\"./layout/layout_attributes\"),r.supplyLayoutDefaults=t(\"./layout/defaults\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,o=i.getSubplotIds(e,\"gl3d\"),s=0;s<o.length;s++){var l=o[s],u=i.getSubplotData(r,\"gl3d\",l),c=e[l],h=c._scene;h||(h=new n({id:l,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),c._scene=h),h.cameraInitial||(h.cameraInitial=a.extendDeep({},c.camera)),h.plot(u,e,t.layout)}},r.clean=function(t,e,r,n){for(var a=i.getSubplotIds(n,\"gl3d\"),o=0;o<a.length;o++){var s=a[o];!e[s]&&n[s]._scene&&n[s]._scene.destroy()}},r.toSVG=function(t){for(var e=t._fullLayout,r=i.getSubplotIds(e,\"gl3d\"),n=e._size,a=0;a<r.length;a++){var s=e[r[a]],l=s.domain,u=s._scene,c=u.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":c,x:n.l+n.w*l.x[0],y:n.t+n.h*(1-l.y[1]),width:n.w*(l.x[1]-l.x[0]),height:n.h*(l.y[1]-l.y[0]),preserveAspectRatio:\"none\"}),u.destroy()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),\"scene\"+e}}},{\"../../constants/xmlns_namespaces\":668,\"../../lib\":685,\"../plots\":787,\"./layout/attributes\":768,\"./layout/defaults\":772,\"./layout/layout_attributes\":773,\"./scene\":777}],768:[function(t,e,r){\"use strict\";e.exports={scene:{\n",
       "valType:\"subplotid\",dflt:\"scene\"}}},{}],769:[function(t,e,r){\"use strict\";var n=t(\"../../../components/color\"),i=t(\"../../cartesian/layout_attributes\"),a=t(\"../../../lib/extend\").extendFlat;e.exports={visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:i.title,titlefont:i.titlefont,type:i.type,autorange:i.autorange,rangemode:i.rangemode,range:i.range,tickmode:i.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,separatethousands:i.separatethousands,tickformat:i.tickformat,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth}},{\"../../../components/color\":578,\"../../../lib/extend\":677,\"../../cartesian/layout_attributes\":735}],770:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,i=t(\"../../../lib\"),a=t(\"./axis_attributes\"),o=t(\"../../cartesian/type_defaults\"),s=t(\"../../cartesian/axis_defaults\"),l=[\"xaxis\",\"yaxis\",\"zaxis\"];e.exports=function(t,e,r){function u(t,e){return i.coerce(c,h,a,t,e)}for(var c,h,f=0;f<l.length;f++){var d=l[f];c=t[d]||{},h=e[d]={_id:d[0]+r.scene,_name:d},o(c,h,u,r.data),s(c,h,u,{font:r.font,letter:d[0],data:r.data,showGrid:!0,bgColor:r.bgColor,calendar:r.calendar}),u(\"gridcolor\",n(h.color,r.bgColor,13600/187).toRgbString()),u(\"title\",d[0]),h.setScale=i.noop,u(\"showspikes\")&&(u(\"spikesides\"),u(\"spikethickness\"),u(\"spikecolor\",h.color)),u(\"showaxeslabels\"),u(\"showbackground\")&&u(\"backgroundcolor\")}}},{\"../../../lib\":685,\"../../cartesian/axis_defaults\":726,\"../../cartesian/type_defaults\":746,\"./axis_attributes\":769,tinycolor2:514}],771:[function(t,e,r){\"use strict\";function n(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}function i(t){var e=new n;return e.merge(t),e}var a=t(\"../../../lib/html2unicode\"),o=t(\"../../../lib/str2rgbarray\"),s=[\"xaxis\",\"yaxis\",\"zaxis\"];n.prototype.merge=function(t){for(var e=this,r=0;r<3;++r){var n=t[s[r]];n.visible?(e.labels[r]=a(n.title),\"titlefont\"in n&&(n.titlefont.color&&(e.labelColor[r]=o(n.titlefont.color)),n.titlefont.family&&(e.labelFont[r]=n.titlefont.family),n.titlefont.size&&(e.labelSize[r]=n.titlefont.size)),\"showline\"in n&&(e.lineEnable[r]=n.showline),\"linecolor\"in n&&(e.lineColor[r]=o(n.linecolor)),\"linewidth\"in n&&(e.lineWidth[r]=n.linewidth),\"showgrid\"in n&&(e.gridEnable[r]=n.showgrid),\"gridcolor\"in n&&(e.gridColor[r]=o(n.gridcolor)),\"gridwidth\"in n&&(e.gridWidth[r]=n.gridwidth),\"log\"===n.type?e.zeroEnable[r]=!1:\"zeroline\"in n&&(e.zeroEnable[r]=n.zeroline),\"zerolinecolor\"in n&&(e.zeroLineColor[r]=o(n.zerolinecolor)),\"zerolinewidth\"in n&&(e.zeroLineWidth[r]=n.zerolinewidth),\"ticks\"in n&&n.ticks?e.lineTickEnable[r]=!0:e.lineTickEnable[r]=!1,\"ticklen\"in n&&(e.lineTickLength[r]=e._defaultLineTickLength[r]=n.ticklen),\"tickcolor\"in n&&(e.lineTickColor[r]=o(n.tickcolor)),\"tickwidth\"in n&&(e.lineTickWidth[r]=n.tickwidth),\"tickangle\"in n&&(e.tickAngle[r]=\"auto\"===n.tickangle?0:Math.PI*-n.tickangle/180),\"showticklabels\"in n&&(e.tickEnable[r]=n.showticklabels),\"tickfont\"in n&&(n.tickfont.color&&(e.tickColor[r]=o(n.tickfont.color)),n.tickfont.family&&(e.tickFont[r]=n.tickfont.family),n.tickfont.size&&(e.tickSize[r]=n.tickfont.size)),\"mirror\"in n?[\"ticks\",\"all\",\"allticks\"].indexOf(n.mirror)!==-1?(e.lineTickMirror[r]=!0,e.lineMirror[r]=!0):n.mirror===!0?(e.lineTickMirror[r]=!1,e.lineMirror[r]=!0):(e.lineTickMirror[r]=!1,e.lineMirror[r]=!1):e.lineMirror[r]=!1,\"showbackground\"in n&&n.showbackground!==!1?(e.backgroundEnable[r]=!0,e.backgroundColor[r]=o(n.backgroundcolor)):e.backgroundEnable[r]=!1):(e.tickEnable[r]=!1,e.labelEnable[r]=!1,e.lineEnable[r]=!1,e.lineTickEnable[r]=!1,e.gridEnable[r]=!1,e.zeroEnable[r]=!1,e.backgroundEnable[r]=!1)}},e.exports=i},{\"../../../lib/html2unicode\":683,\"../../../lib/str2rgbarray\":703}],772:[function(t,e,r){\"use strict\";function n(t,e,r,n){for(var i=r(\"bgcolor\"),o=a.combine(i,n.paper_bgcolor),u=Object.keys(s.camera),c=0;c<u.length;c++)r(\"camera.\"+u[c]+\".x\"),r(\"camera.\"+u[c]+\".y\"),r(\"camera.\"+u[c]+\".z\");var h=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),f=h?\"manual\":\"auto\",d=r(\"aspectmode\",f);h||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===d&&(e.aspectmode=\"auto\")),l(t,e,{font:n.font,scene:n.id,data:n.fullData,bgColor:o,calendar:n.calendar}),r(\"dragmode\",n.getDfltFromLayout(\"dragmode\")),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}var i=t(\"../../../lib\"),a=t(\"../../../components/color\"),o=t(\"../../subplot_defaults\"),s=t(\"./layout_attributes\"),l=t(\"./axis_defaults\");e.exports=function(t,e,r){function a(e){if(!l){return i.validate(t[e],s[e])?t[e]:void 0}}var l=e._basePlotModules.length>1;o(t,e,r,{type:\"gl3d\",attributes:s,handleDefaults:n,font:e.font,fullData:r,getDfltFromLayout:a,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{\"../../../components/color\":578,\"../../../lib\":685,\"../../subplot_defaults\":794,\"./axis_defaults\":770,\"./layout_attributes\":773}],773:[function(t,e,r){\"use strict\";function n(t,e,r){return{x:{valType:\"number\",dflt:t},y:{valType:\"number\",dflt:e},z:{valType:\"number\",dflt:r}}}var i=t(\"./axis_attributes\"),a=t(\"../../../lib/extend\").extendFlat;e.exports={bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\"},camera:{up:a(n(0,0,1),{}),center:a(n(0,0,0),{}),eye:a(n(1.25,1.25,1.25),{})},domain:{x:{valType:\"info_array\",items:[{valType:\"number\",min:0,max:1},{valType:\"number\",min:0,max:1}],dflt:[0,1]},y:{valType:\"info_array\",items:[{valType:\"number\",min:0,max:1},{valType:\"number\",min:0,max:1}],dflt:[0,1]}},aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\"},aspectratio:{x:{valType:\"number\",min:0},y:{valType:\"number\",min:0},z:{valType:\"number\",min:0}},xaxis:i,yaxis:i,zaxis:i,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],dflt:\"turntable\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\"},_deprecated:{cameraposition:{valType:\"info_array\"}}}},{\"../../../lib/extend\":677,\"./axis_attributes\":769}],774:[function(t,e,r){\"use strict\";function n(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}function i(t){var e=new n;return e.merge(t),e}var a=t(\"../../../lib/str2rgbarray\"),o=[\"xaxis\",\"yaxis\",\"zaxis\"];n.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[o[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=a(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=i},{\"../../../lib/str2rgbarray\":703}],775:[function(t,e,r){\"use strict\";function n(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}function i(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,i=t.fullSceneLayout,c=[[],[],[]],h=0;h<3;++h){var f=i[l[h]];if(f._length=(r[h].hi-r[h].lo)*r[h].pixelsPerDataUnit/t.dataScale[h],1/0===Math.abs(f._length))c[h]=[];else{f.range[0]=r[h].lo/t.dataScale[h],f.range[1]=r[h].hi/t.dataScale[h],f._m=1/(t.dataScale[h]*r[h].pixelsPerDataUnit),f.range[0]===f.range[1]&&(f.range[0]-=1,f.range[1]+=1);var d=f.tickmode;if(\"auto\"===f.tickmode){f.tickmode=\"linear\";var p=f.nticks||o.constrain(f._length/40,4,9);a.autoTicks(f,Math.abs(f.range[1]-f.range[0])/p)}for(var m=a.calcTicks(f),g=0;g<m.length;++g)m[g].x=m[g].x*t.dataScale[h],m[g].text=s(m[g].text);c[h]=m,f.tickmode=d}}e.ticks=c;for(var h=0;h<3;++h){u[h]=.5*(t.glplot.bounds[0][h]+t.glplot.bounds[1][h]);for(var g=0;g<2;++g)e.bounds[g][h]=t.glplot.bounds[g][h]}t.contourLevels=n(c)}e.exports=i;var a=t(\"../../cartesian/axes\"),o=t(\"../../../lib\"),s=t(\"../../../lib/html2unicode\"),l=[\"xaxis\",\"yaxis\",\"zaxis\"],u=[0,0,0]},{\"../../../lib\":685,\"../../../lib/html2unicode\":683,\"../../cartesian/axes\":724}],776:[function(t,e,r){\"use 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b=d.split(\"+\");b.indexOf(\"x\")===-1&&(p=void 0),b.indexOf(\"y\")===-1&&(v=void 0),b.indexOf(\"z\")===-1&&(y=void 0),b.indexOf(\"text\")===-1&&(u.textLabel=void 0),b.indexOf(\"name\")===-1&&(l.name=void 0)}t.fullSceneLayout.hovermode&&g.loneHover({x:(.5+.5*f[0]/f[3])*a,y:(.5-.5*f[1]/f[3])*o,xLabel:p,yLabel:v,zLabel:y,text:u.textLabel,name:l.name,color:l.color},{container:n});var _={points:[{x:p,y:v,z:y,data:r._input,fullData:r,curveNumber:r.index,pointNumber:u.data.index}]};u.buttons&&u.distance<5?t.graphDiv.emit(\"plotly_click\",_):t.graphDiv.emit(\"plotly_hover\",_),h=_}else g.loneUnhover(n),t.graphDiv.emit(\"plotly_unhover\",h)}function i(t,e,r,i){var a={canvas:r,gl:i,container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1};if(t.staticMode){if(!(h||(c=document.createElement(\"canvas\"),h=d({canvas:c,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for 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a=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\",r.appendChild(a),this.svgContainer=a,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=_(e[this.id]),this.spikeOptions=w(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],i(this,e)}function o(t,e,r,n,i){for(var a,o=0;o<e.length;++o)if(Array.isArray(e[o]))for(var s=0;s<e[o].length;++s)a=t.d2l(e[o][s],0,i),!isNaN(a)&&isFinite(a)&&(n[0][r]=Math.min(n[0][r],a),n[1][r]=Math.max(n[1][r],a));else a=t.d2l(e[o],0,i),!isNaN(a)&&isFinite(a)&&(n[0][r]=Math.min(n[0][r],a),n[1][r]=Math.max(n[1][r],a))}function s(t,e,r){var n=t.fullSceneLayout;o(n.xaxis,e.x,0,r,e.xcalendar),o(n.yaxis,e.y,1,r,e.ycalendar),o(n.zaxis,e.z,2,r,e.zcalendar)}function l(t){return[[t.eye.x,t.eye.y,t.eye.z],[t.center.x,t.center.y,t.center.z],[t.up.x,t.up.y,t.up.z]]}function u(t){return{up:{x:t.up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]}}}var c,h,f=t(\"gl-plot3d\"),d=t(\"webgl-context\"),p=t(\"../../lib\"),m=t(\"../../plots/cartesian/axes\"),g=t(\"../../plots/cartesian/graph_interact\"),v=t(\"../../lib/str2rgbarray\"),y=t(\"../../lib/show_no_webgl_msg\"),b=t(\"./camera\"),x=t(\"./project\"),_=t(\"./layout/convert\"),w=t(\"./layout/spikes\"),M=t(\"./layout/tick_marks\"),k=a.prototype;k.recoverContext=function(){function t(){return r.isContextLost()?void requestAnimationFrame(t):i(e,e.fullLayout,n,r)?void e.plot.apply(e,e.plotArgs):void 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Context lost.\")}var e=this,r=this.glplot.gl,n=this.glplot.canvas;this.glplot.dispose(),requestAnimationFrame(t)};var A=[\"xaxis\",\"yaxis\",\"zaxis\"];k.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,i,a,o,l,u,c=e[this.id],h=r[this.id];c.bgcolor?this.glplot.clearColor=v(c.bgcolor):this.glplot.clearColor=[0,0,0,0],this.glplot.snapToData=!0,this.fullLayout=e,this.fullSceneLayout=c,this.glplotLayout=c,this.axesOptions.merge(c),this.spikeOptions.merge(c),this.setCamera(c.camera),this.updateFx(c.dragmode,c.hovermode),this.glplot.update({}),this.setConvert(l),t?Array.isArray(t)||(t=[t]):t=[];var f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(a=0;a<t.length;++a)n=t[a],n.visible===!0&&s(this,n,f);var d=[1,1,1];for(o=0;o<3;++o)f[0][o]>f[1][o]?d[o]=1:f[1][o]===f[0][o]?d[o]=1:d[o]=1/(f[1][o]-f[0][o]);for(this.dataScale=d,a=0;a<t.length;++a)n=t[a],n.visible===!0&&(i=this.traces[n.uid],i?i.update(n):(i=n._module.plot(this,n),this.traces[n.uid]=i),i.name=n.name);var p=Object.keys(this.traces);t:for(a=0;a<p.length;++a){for(o=0;o<t.length;++o)if(t[o].uid===p[a]&&t[o].visible===!0)continue t;i=this.traces[p[a]],i.dispose(),delete this.traces[p[a]]}this.glplot.objects.sort(function(t,e){return t._trace.data.index-e._trace.data.index});var m=[[0,0,0],[0,0,0]],g=[],y={};for(a=0;a<3;++a){if(l=c[A[a]],u=l.type,u in y?(y[u].acc*=d[a],y[u].count+=1):y[u]={acc:d[a],count:1},l.autorange){for(m[0][a]=1/0,m[1][a]=-1/0,o=0;o<this.glplot.objects.length;++o){var b=this.glplot.objects[o].bounds;m[0][a]=Math.min(m[0][a],b[0][a]/d[a]),m[1][a]=Math.max(m[1][a],b[1][a]/d[a])}if(\"rangemode\"in l&&\"tozero\"===l.rangemode&&(m[0][a]=Math.min(m[0][a],0),m[1][a]=Math.max(m[1][a],0)),m[0][a]>m[1][a])m[0][a]=-1,m[1][a]=1;else{var x=m[1][a]-m[0][a];m[0][a]-=x/32,m[1][a]+=x/32}}else{var _=c[A[a]].range;m[0][a]=_[0],m[1][a]=_[1]}m[0][a]===m[1][a]&&(m[0][a]-=1,m[1][a]+=1),g[a]=m[1][a]-m[0][a],this.glplot.bounds[0][a]=m[0][a]*d[a],this.glplot.bounds[1][a]=m[1][a]*d[a]}var w=[1,1,1];for(a=0;a<3;++a){l=c[A[a]],u=l.type;var M=y[u];w[a]=Math.pow(M.acc,1/M.count)/d[a]}var k;if(\"auto\"===c.aspectmode)k=Math.max.apply(null,w)/Math.min.apply(null,w)<=4?w:[1,1,1];else if(\"cube\"===c.aspectmode)k=[1,1,1];else if(\"data\"===c.aspectmode)k=w;else{if(\"manual\"!==c.aspectmode)throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");var T=c.aspectratio;k=[T.x,T.y,T.z]}c.aspectratio.x=h.aspectratio.x=k[0],c.aspectratio.y=h.aspectratio.y=k[1],c.aspectratio.z=h.aspectratio.z=k[2],this.glplot.aspect=k;var S=c.domain||null,E=e._size||null;if(S&&E){var L=this.container.style;L.position=\"absolute\",L.left=E.l+S.x[0]*E.w+\"px\",L.top=E.t+(1-S.y[1])*E.h+\"px\",L.width=E.w*(S.x[1]-S.x[0])+\"px\",L.height=E.h*(S.y[1]-S.y[0])+\"px\"}this.glplot.redraw()}},k.destroy=function(){this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null},k.getCamera=function(){return this.glplot.camera.view.recalcMatrix(this.camera.view.lastT()),u(this.glplot.camera)},k.setCamera=function(t){this.glplot.camera.lookAt.apply(this,l(t))},k.saveCamera=function(t){var e=this.getCamera(),r=p.nestedProperty(t,this.id+\".camera\"),n=r.get(),i=!1;if(void 0===n)i=!0;else for(var a=0;a<3;a++)for(var o=0;o<3;o++)if(!function(t,e,r,n){var i=[\"up\",\"center\",\"eye\"],a=[\"x\",\"y\",\"z\"];return e[i[r]]&&t[i[r]][a[n]]===e[i[r]][a[n]]}(e,n,a,o)){i=!0;break}return i&&r.set(e),i},k.updateFx=function(t,e){var r=this.camera;r&&(\"orbit\"===t?(r.mode=\"orbit\",r.keyBindingMode=\"rotate\"):\"turntable\"===t?(r.up=[0,0,1],r.mode=\"turntable\",r.keyBindingMode=\"rotate\"):r.keyBindingMode=t),this.fullSceneLayout.hovermode=e},k.toImage=function(t){t||(t=\"png\"),this.staticMode&&this.container.appendChild(c),this.glplot.redraw();var e=this.glplot.gl,r=e.drawingBufferWidth,n=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var i=new Uint8Array(r*n*4);e.readPixels(0,0,r,n,e.RGBA,e.UNSIGNED_BYTE,i);for(var a=0,o=n-1;a<o;++a,--o)for(var s=0;s<r;++s)for(var l=0;l<4;++l){var u=i[4*(r*a+s)+l];i[4*(r*a+s)+l]=i[4*(r*o+s)+l],i[4*(r*o+s)+l]=u}var h=document.createElement(\"canvas\");h.width=r,h.height=n;var f=h.getContext(\"2d\"),d=f.createImageData(r,n);d.data.set(i),f.putImageData(d,0,0);var p;switch(t){case\"jpeg\":p=h.toDataURL(\"image/jpeg\");break;case\"webp\":p=h.toDataURL(\"image/webp\");break;default:p=h.toDataURL(\"image/png\")}return this.staticMode&&this.container.removeChild(c),p},k.setConvert=function(){for(var t=0;t<3;++t){var e=this.fullSceneLayout[A[t]];m.setConvert(e,this.fullLayout),e.setScale=p.noop}},e.exports=a},{\"../../lib\":685,\"../../lib/show_no_webgl_msg\":701,\"../../lib/str2rgbarray\":703,\"../../plots/cartesian/axes\":724,\"../../plots/cartesian/graph_interact\":733,\"./camera\":766,\"./layout/convert\":771,\"./layout/spikes\":774,\"./layout/tick_marks\":775,\"./project\":776,\"gl-plot3d\":205,\"webgl-context\":543}],778:[function(t,e,r){\"use strict\";var n=t(\"../lib\"),i=n.extendFlat,a=t(\"./font_attributes\"),o=t(\"../components/color/attributes\");e.exports={font:{family:i({},a.family,{dflt:'\"Open Sans\", verdana, arial, sans-serif'}),size:i({},a.size,{dflt:12}),color:i({},a.color,{dflt:o.defaultLine})},title:{valType:\"string\",dflt:\"Click to enter Plot 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strict\";e.exports={styleUrlPrefix:\"mapbox://styles/mapbox/\",styleUrlSuffix:\"v9\",controlContainerClassName:\"mapboxgl-control-container\",noAccessTokenErrorMsg:[\"Missing Mapbox access token.\",\"Mapbox trace type require a Mapbox access token to be registered.\",\"For example:\",\"  Plotly.plot(gd, data, layout, { mapboxAccessToken: 'my-access-token' });\",\"More info here: https://www.mapbox.com/help/define-access-token/\"].join(\"\\n\"),mapOnErrorMsg:\"Mapbox error.\"}},{}],780:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){var r=t.split(\" \"),i=r[0],a=r[1],o=Array.isArray(e)?n.mean(e):e,s=.5+o/100,l=1.5+o/100,u=[\"\",\"\"],c=[0,0];switch(i){case\"top\":u[0]=\"top\",c[1]=-l;break;case\"bottom\":u[0]=\"bottom\",c[1]=l}switch(a){case\"left\":u[1]=\"right\",c[0]=-s;break;case\"right\":u[1]=\"left\",c[0]=s}var h;return h=u[0]&&u[1]?u.join(\"-\"):u[0]?u[0]:u[1]?u[1]:\"center\",{anchor:h,offset:c}}},{\"../../lib\":685}],781:[function(t,e,r){\"use 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s=a({},t.layout);if([[s,[\"plot_bgcolor\"],[\"backgroundColor\"]],[s,[\"showlegend\"],[\"showLegend\"]],[s,[\"radialaxis\"],[\"radialAxis\"]],[s,[\"angularaxis\"],[\"angularAxis\"]],[s.angularaxis,[\"showline\"],[\"gridLinesVisible\"]],[s.angularaxis,[\"showticklabels\"],[\"labelsVisible\"]],[s.angularaxis,[\"nticks\"],[\"ticksCount\"]],[s.angularaxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.angularaxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.angularaxis,[\"range\"],[\"domain\"]],[s.angularaxis,[\"endpadding\"],[\"endPadding\"]],[s.radialaxis,[\"showline\"],[\"gridLinesVisible\"]],[s.radialaxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.radialaxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.radialaxis,[\"range\"],[\"domain\"]],[s.angularAxis,[\"showline\"],[\"gridLinesVisible\"]],[s.angularAxis,[\"showticklabels\"],[\"labelsVisible\"]],[s.angularAxis,[\"nticks\"],[\"ticksCount\"]],[s.angularAxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.angularAxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.angularAxis,[\"range\"],[\"domain\"]],[s.angularAxis,[\"endpadding\"],[\"endPadding\"]],[s.radialAxis,[\"showline\"],[\"gridLinesVisible\"]],[s.radialAxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.radialAxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.radialAxis,[\"range\"],[\"domain\"]],[s.font,[\"outlinecolor\"],[\"outlineColor\"]],[s.legend,[\"traceorder\"],[\"reverseOrder\"]],[s,[\"labeloffset\"],[\"labelOffset\"]],[s,[\"defaultcolorrange\"],[\"defaultColorRange\"]]].forEach(function(t,r){o.util.translator.apply(null,t.concat(e))}),e?(void 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a=t(\"d3\"),o=t(\"tinycolor2\"),s=t(\"../../plotly\"),l=t(\"../../lib\"),u=t(\"../../components/color\"),c=t(\"../../components/drawing\"),h=t(\"../cartesian/set_convert\"),f=t(\"../../lib/extend\").extendFlat,d=t(\"../plots\"),p=t(\"../cartesian/axes\"),m=t(\"../../components/dragelement\"),g=t(\"../../components/titles\"),v=t(\"../cartesian/select\"),y=t(\"../cartesian/constants\"),b=t(\"../cartesian/graph_interact\");e.exports=n;var x=n.prototype;x.init=function(t){this.container=t._ternarylayer,this.defs=t._defs,this.layoutId=t._uid,this.traceHash={}},x.plot=function(t,e){var r=this,n=e[r.id],i=e._size;r.adjustLayout(n,i),d.generalUpdatePerTraceModule(r,t,n),r.layers.plotbg.select(\"path\").call(u.fill,n.bgcolor)},x.makeFramework=function(){var t=this,e=t.defs.selectAll(\"g.clips\").data([0]);e.enter().append(\"g\").classed(\"clips\",!0);var 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   float show = float(mshow(pA, loA, hiA) &&\\n                       mshow(pB, loB, hiB) &&\\n                       mshow(pC, loC, hiC) &&\\n                       mshow(pD, loD, hiD));\\n\\n    vec2 yy = show * vec2(val(pA, dim2A) + val(pB, dim2B) + val(pC, dim2C) + val(pD, dim2D),\\n                          val(pA, dim1A) + val(pB, dim1B) + val(pC, dim1C) + val(pD, dim1D));\\n\\n    vec2 dimensionToggle = vec2(x, 1.0 - x);\\n\\n    vec2 scatterToggle = vec2(scatter, 1.0 - scatter);\\n\\n    float y = dot(yy, dimensionToggle);\\n    mat2 xy = mat2(viewBoxSize * yy + dimensionToggle, viewBoxSize * vec2(x, y));\\n\\n    vec2 viewBoxXY = viewBoxPosition + xy * scatterToggle;\\n\\n    float depthOrHide = depth + 2.0 * (1.0 - show);\\n\\n    gl_Position = vec4(\\n        xyProjection * (2.0 * viewBoxXY / resolution - 1.0),\\n        depthOrHide,\\n        1.0\\n    );\\n\\n    // visible coloring\\n    float clampedColorIndex = clamp((prominence - colorClamp[0]) / (colorClamp[1] - colorClamp[0]), 0.0, 1.0);\\n    fragColor = texture2D(palette, vec2((clampedColorIndex * 255.0 + 0.5) / 256.0, 0.5));\\n}\\n\",frag:\"precision lowp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n    gl_FragColor = fragColor;\\n}\\n\",primitive:\"lines\",lineWidth:1,attributes:P,uniforms:{resolution:O.prop(\"resolution\"),viewBoxPosition:O.prop(\"viewBoxPosition\"),viewBoxSize:O.prop(\"viewBoxSize\"),dim1A:O.prop(\"dim1A\"),dim2A:O.prop(\"dim2A\"),dim1B:O.prop(\"dim1B\"),dim2B:O.prop(\"dim2B\"),dim1C:O.prop(\"dim1C\"),dim2C:O.prop(\"dim2C\"),dim1D:O.prop(\"dim1D\"),dim2D:O.prop(\"dim2D\"),loA:O.prop(\"loA\"),hiA:O.prop(\"hiA\"),loB:O.prop(\"loB\"),hiB:O.prop(\"hiB\"),loC:O.prop(\"loC\"),hiC:O.prop(\"hiC\"),loD:O.prop(\"loD\"),hiD:O.prop(\"hiD\"),palette:j,colorClamp:O.prop(\"colorClamp\"),scatter:O.prop(\"scatter\")},offset:O.prop(\"offset\"),count:O.prop(\"count\")}),F=[0,1],N=[];return{setColorDomain:y,render:x,readPixel:w,readPixels:M,destroy:O.destroy}}},{\"./constants\":954,regl:480}],958:[function(t,e,r){\"use strict\";function n(t){return t.key}function i(t){return[t]}function a(t){return!(\"visible\"in t)||t.visible}function o(t){var e=t.range?t.range[0]:_.min(t.values),r=t.range?t.range[1]:_.max(t.values);return!isNaN(e)&&isFinite(e)||(e=0),!isNaN(r)&&isFinite(r)||(r=0),e===r&&(void 0===e?(e=0,r=1):0===e?(e-=1,r+=1):(e*=.9,r*=1.1)),[e,r]}function s(t,e){var r,n,i,a,o;for(r=0,n=t.range(),i=1/0,a=n[0],o;r<n.length;r++){if((o=Math.abs(n[r]-e))>i)return a;i=o,a=n[r]}return n[n.length-1]}function l(t,e,r){var n=o(r);return r.tickvals?_.scale.ordinal().domain(r.tickvals).range(r.tickvals.map(function(t){return(t-n[0])/(n[1]-n[0])}).map(function(r){return t-e+r*(e-(t-e))})):_.scale.linear().domain(n).range([t-e,e])}function u(t,e){return _.scale.linear().range([t-e,e])}function c(t){return _.scale.linear().domain(o(t))}function h(t){var e=o(t);return t.tickvals&&_.scale.ordinal().domain(t.tickvals).range(t.tickvals.map(function(t){return(t-e[0])/(e[1]-e[0])}))}function f(t){var e=t.map(function(t){return t[0]}),r=t.map(function(t){return t[1]}),n=r.map(function(t){return _.rgb(t)}),i=function(t){return function(e){return e[t]}},a=\"rgb\".split(\"\").map(function(t){return _.scale.linear().clamp(!0).domain(e).range(n.map(i(t)))});return function(t){return a.map(function(e){return e(t)})}}function d(t){return t[0]}function p(t,e,r){var n=d(e),i=n.trace,o=n.lineColor,s=n.cscale,l=i.line,u=i.domain,h=i.dimensions,p=t.width,m=x.extendDeep({},l,{color:o.map(c({values:o,range:[l.cmin,l.cmax]})),blockLineCount:b.blockLineCount,canvasOverdrag:b.overdrag*b.canvasPixelRatio}),g=Math.floor(p*(u.x[1]-u.x[0])),v=Math.floor(t.height*(u.y[1]-u.y[0])),y=t.margin||{l:80,r:80,t:100,b:80},_=g,w=v;return{key:r,colCount:h.filter(a).length,dimensions:h,tickDistance:b.tickDistance,unitToColor:f(s),lines:m,translateX:u.x[0]*p,translateY:t.height-u.y[1]*t.height,pad:y,canvasWidth:_*b.canvasPixelRatio+2*m.canvasOverdrag,canvasHeight:w*b.canvasPixelRatio,width:_,height:w,canvasPixelRatio:b.canvasPixelRatio}}function m(t){var e=t.width,r=t.height,n=t.dimensions,i=t.canvasPixelRatio,o=function(r){return e*r/Math.max(1,t.colCount-1)},s=b.verticalPadding/(r*i),f=1-2*s,d=function(t){return s+f*t},p={key:t.key,xScale:o,model:t},m={};return p.dimensions=n.filter(a).map(function(e,n){var a=c(e),s=m[e.label];return m[e.label]=(s||0)+1,{key:e.label+(s?\"__\"+s:\"\"),label:e.label,tickFormat:e.tickformat,tickvals:e.tickvals,ticktext:e.ticktext,ordinal:!!e.tickvals,scatter:b.scatter||e.scatter,xIndex:n,crossfilterDimensionIndex:n,visibleIndex:e._index,height:r,values:e.values,paddedUnitValues:e.values.map(a).map(d),xScale:o,x:o(n),canvasX:o(n)*i,unitScale:u(r,b.verticalPadding),domainScale:l(r,b.verticalPadding,e),ordinalScale:h(e),domainToUnitScale:a,filter:e.constraintrange?e.constraintrange.map(a):[0,1],parent:p,model:t}}),p}function g(t){return b.layers.map(function(e){return{key:e,context:\"contextLineLayer\"===e,pick:\"pickLineLayer\"===e,viewModel:t,model:t.model}})}function v(t){t.classed(\"axisExtentText\",!0).attr(\"text-anchor\",\"middle\").style(\"font-weight\",100).style(\"font-size\",\"10px\").style(\"cursor\",\"default\").style(\"user-select\",\"none\")}var y=t(\"./lines\"),b=t(\"./constants\"),x=t(\"../../lib\"),_=t(\"d3\");e.exports=function(t,e,r,a,o){function l(t){var e=t.selectAll(\"defs\").data(i,n);e.enter().append(\"defs\");var r=e.selectAll(\"#filterBarPattern\").data(i,n);r.enter().append(\"pattern\").attr(\"id\",\"filterBarPattern\").attr(\"patternUnits\",\"userSpaceOnUse\"),r.attr(\"x\",-b.bar.width).attr(\"width\",b.bar.capturewidth).attr(\"height\",function(t){return t.model.height});var a=r.selectAll(\"rect\").data(i,n);a.enter().append(\"rect\").attr(\"shape-rendering\",\"crispEdges\"),a.attr(\"height\",function(t){return t.model.height}).attr(\"width\",b.bar.width).attr(\"x\",b.bar.width/2).attr(\"fill\",b.bar.fillcolor).attr(\"fill-opacity\",b.bar.fillopacity).attr(\"stroke\",b.bar.strokecolor).attr(\"stroke-opacity\",b.bar.strokeopacity).attr(\"stroke-width\",b.bar.strokewidth)}function u(t){return t.dimensions.some(function(t){return 0!==t.filter[0]||1!==t.filter[1]})}function c(t,e){for(var r=e.panels||(e.panels=[]),n=t.each(function(t){return t})[e.key].map(function(t){return t.__data__}),i=n.length-1,a=0;a<1;a++)for(var o=0;o<i;o++){var s=r[o+a*i]||(r[o+a*i]={}),l=n[o],u=n[o+1];s.dim1=l,s.dim2=u,s.canvasX=l.canvasX,s.panelSizeX=u.canvasX-l.canvasX,s.panelSizeY=e.model.canvasHeight/1,s.y=a*s.panelSizeY,s.canvasY=e.model.canvasHeight-s.y-s.panelSizeY}}function h(t,e){for(var r=e.panels||(e.panels=[]),n=t.each(function(t){return t})[e.key].map(function(t){return t.__data__}),i=n.length-1,a=i,o=0;o<i;o++)for(var s=0;s<i;s++){var l=r[s+o*i]||(r[s+o*i]={}),u=n[s],c=n[s+1];l.dim1=n[o+1],l.dim2=c,l.canvasX=u.canvasX,l.panelSizeX=c.canvasX-u.canvasX,l.panelSizeY=e.model.canvasHeight/a,l.y=o*l.panelSizeY,l.canvasY=e.model.canvasHeight-l.y-l.panelSizeY}}function f(t,e){return(b.scatter?h:c)(t,e)}function x(t){return t.ordinal?function(){return\"\"}:_.format(t.tickFormat)}function w(){Y=!0,A=!0}function M(t){T=!1;var e=t.parent,r=t.brush.extent(),n=e.dimensions,i=n[t.xIndex].filter,a=Y&&r[0]===r[1];a&&(t.brush.clear(),_.select(this).select(\"rect.extent\").attr(\"y\",-100));var o=a?[0,1]:r.slice();if(o[0]!==i[0]||o[1]!==i[1]){n[t.xIndex].filter=o,e.focusLineLayer&&e.focusLineLayer.render(e.panels,!0);var s=u(e);!W&&s?(e.contextLineLayer&&e.contextLineLayer.render(e.panels,!0),W=!0):W&&!s&&(e.contextLineLayer&&e.contextLineLayer.render(e.panels,!0,!0),W=!1)}Y=!1}function k(t){var e=t.parent,r=t.brush.extent(),n=r[0]===r[1],i=e.dimensions,a=i[t.xIndex].filter;if(!n&&t.ordinal&&(a[0]=s(t.ordinalScale,a[0]),a[1]=s(t.ordinalScale,a[1]),a[0]===a[1]&&(a[0]=Math.max(0,a[0]-.05),a[1]=Math.min(1,a[1]+.05)),_.select(this).transition().duration(150).call(t.brush.extent(a)),e.focusLineLayer.render(e.panels,!0)),e.pickLineLayer&&e.pickLineLayer.render(e.panels,!0),T=!0,A=\"ending\",o&&o.filterChanged){var l=t.domainToUnitScale.invert,u=a.map(l);o.filterChanged(e.key,t.visibleIndex,u)}}var A=!1,T=!0,S=r.filter(function(t){return d(t).trace.visible}).map(p.bind(0,a)).map(m);t.selectAll(\".parcoords-line-layers\").remove();var E=t.selectAll(\".parcoords-line-layers\").data(S,n);E.enter().insert(\"div\",\".\"+e.attr(\"class\").split(\" \").join(\" .\")).classed(\"parcoords-line-layers\",!0).style(\"box-sizing\",\"content-box\"),E.style(\"transform\",function(t){return\"translate(\"+(t.model.translateX-b.overdrag)+\"px,\"+t.model.translateY+\"px)\"});var L=E.selectAll(\".parcoords-lines\").data(g,n),C={renderers:[],dimensions:[]},z=null;L.enter().append(\"canvas\").attr(\"class\",function(t){return\"parcoords-lines \"+(t.context?\"context\":t.pick?\"pick\":\"focus\")}).style(\"box-sizing\",\"content-box\").style(\"float\",\"left\").style(\"clear\",\"both\").style(\"left\",0).style(\"overflow\",\"visible\").style(\"position\",function(t,e){return\"absolute\"}).filter(function(t){return t.pick}).on(\"mousemove\",function(t){if(T&&t.lineLayer&&o&&o.hover){var e=_.event,r=this.width,n=this.height,i=_.mouse(this),a=i[0],s=i[1];if(a<0||s<0||a>=r||s>=n)return;var l=t.lineLayer.readPixel(a,n-1-s),u=0!==l[3],c=u?l[2]+256*(l[1]+256*l[0]):null,h={x:a,y:s,clientX:e.clientX,clientY:e.clientY,dataIndex:t.model.key,curveNumber:c};c!==z&&(u?o.hover(h):o.unhover&&o.unhover(h),z=c)}}),L.style(\"margin\",function(t){var e=t.model.pad;return e.t+\"px \"+e.r+\"px \"+e.b+\"px \"+e.l+\"px\"}).attr(\"width\",function(t){return t.model.canvasWidth}).attr(\"height\",function(t){return t.model.canvasHeight}).style(\"width\",function(t){return t.model.width+2*b.overdrag+\"px\"}).style(\"height\",function(t){return t.model.height+\"px\"}).style(\"opacity\",function(t){return t.pick?.01:1}),e.style(\"background\",\"rgba(255, 255, 255, 0)\");var D=e.selectAll(\".parcoords\").data(S,n);D.exit().remove(),D.enter().append(\"g\").classed(\"parcoords\",!0).attr(\"overflow\",\"visible\").style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"overflow\",\"visible\").style(\"shape-rendering\",\"crispEdges\").style(\"pointer-events\",\"none\").call(l),D.attr(\"width\",function(t){return t.model.width+t.model.pad.l+t.model.pad.r}).attr(\"height\",function(t){return t.model.height+t.model.pad.t+t.model.pad.b}).attr(\"transform\",function(t){return\"translate(\"+t.model.translateX+\",\"+t.model.translateY+\")\"});var I=D.selectAll(\".parcoordsControlView\").data(i,n);I.enter().append(\"g\").classed(\"parcoordsControlView\",!0).style(\"box-sizing\",\"content-box\"),I.attr(\"transform\",function(t){return\"translate(\"+t.model.pad.l+\",\"+t.model.pad.t+\")\"});var P=I.selectAll(\".yAxis\").data(function(t){return t.dimensions},n);P.enter().append(\"g\").classed(\"yAxis\",!0).each(function(t){C.dimensions.push(t)}),I.each(function(t){f(P,t)}),L.each(function(t){t.lineLayer=y(this,t.model.lines,t.model.canvasWidth,t.model.canvasHeight,t.viewModel.dimensions,t.viewModel.panels,t.model.unitToColor,t.context,t.pick,b.scatter),t.viewModel[t.key]=t.lineLayer,C.renderers.push(function(){t.lineLayer.render(t.viewModel.panels,!0)}),t.lineLayer.render(t.viewModel.panels,!t.context)}),P.attr(\"transform\",function(t){return\"translate(\"+t.xScale(t.xIndex)+\", 0)\"}),P.call(_.behavior.drag().origin(function(t){return t}).on(\"drag\",function(t){var e=t.parent;T=!1,A||(t.x=Math.max(-b.overdrag,Math.min(t.model.width+b.overdrag,_.event.x)),t.canvasX=t.x*t.model.canvasPixelRatio,P.sort(function(t,e){return t.x-e.x}).each(function(e,r){e.xIndex=r,e.x=t===e?e.x:e.xScale(e.xIndex),e.canvasX=e.x*e.model.canvasPixelRatio}),f(P,e),P.filter(function(e){return 0!==Math.abs(t.xIndex-e.xIndex)}).attr(\"transform\",function(t){return\"translate(\"+t.xScale(t.xIndex)+\", 0)\"}),_.select(this).attr(\"transform\",\"translate(\"+t.x+\", 0)\"),P.each(function(r,n,i){i===t.parent.key&&(e.dimensions[n]=r)}),e.contextLineLayer&&e.contextLineLayer.render(e.panels,!1,!u(e)),e.focusLineLayer.render&&e.focusLineLayer.render(e.panels))}).on(\"dragend\",function(t){var e=t.parent;if(A)return void(\"ending\"===A&&(A=!1));t.x=t.xScale(t.xIndex),t.canvasX=t.x*t.model.canvasPixelRatio,f(P,e),_.select(this).attr(\"transform\",function(t){return\"translate(\"+t.x+\", 0)\"}),e.contextLineLayer&&e.contextLineLayer.render(e.panels,!1,!u(e)),e.focusLineLayer&&e.focusLineLayer.render(e.panels),e.pickLineLayer&&e.pickLineLayer.render(e.panels,!0),T=!0,o&&o.axesMoved&&o.axesMoved(e.key,e.dimensions.map(function(t){return t.crossfilterDimensionIndex}))})),P.exit().remove();var O=P.selectAll(\".axisOverlays\").data(i,n);O.enter().append(\"g\").classed(\"axisOverlays\",!0),O.selectAll(\".axis\").remove();var j=O.selectAll(\".axis\").data(i,n);j.enter().append(\"g\").classed(\"axis\",!0),j.each(function(t){var e=t.model.height/t.model.tickDistance,r=t.domainScale,n=r.domain(),i=t.ticktext;_.select(this).call(_.svg.axis().orient(\"left\").tickSize(4).outerTickSize(2).ticks(e,t.tickFormat).tickValues(t.ordinal?n.map(function(t,e){return i&&i[e]||t}):null).tickFormat(t.ordinal?function(t){return t}:null).scale(r))}),j.selectAll(\".domain, .tick\").attr(\"fill\",\"none\").attr(\"stroke\",\"black\").attr(\"stroke-opacity\",.25).attr(\"stroke-width\",\"1px\"),j.selectAll(\"text\").style(\"font-weight\",100).style(\"font-size\",\"10px\").style(\"fill\",\"black\").style(\"fill-opacity\",1).style(\"stroke\",\"none\").style(\"text-shadow\",\"1px 1px 1px #fff, -1px -1px 1px #fff, 1px -1px 1px #fff, -1px 1px 1px #fff\").style(\"cursor\",\"default\").style(\"user-select\",\"none\");var R=O.selectAll(\".axisHeading\").data(i,n);R.enter().append(\"g\").classed(\"axisHeading\",!0);var F=R.selectAll(\".axisTitle\").data(i,n);F.enter().append(\"text\").classed(\"axisTitle\",!0).attr(\"text-anchor\",\"middle\").style(\"font-family\",\"sans-serif\").style(\"font-size\",\"10px\").style(\"cursor\",\"ew-resize\").style(\"user-select\",\"none\").style(\"pointer-events\",\"auto\"),F.attr(\"transform\",\"translate(0,\"+-b.axisTitleOffset+\")\").text(function(t){return t.label});var N=O.selectAll(\".axisExtent\").data(i,n);N.enter().append(\"g\").classed(\"axisExtent\",!0);var B=N.selectAll(\".axisExtentTop\").data(i,n);B.enter().append(\"g\").classed(\"axisExtentTop\",!0),B.attr(\"transform\",\"translate(0,\"+-b.axisExtentOffset+\")\");var U=B.selectAll(\".axisExtentTopText\").data(i,n);U.enter().append(\"text\").classed(\"axisExtentTopText\",!0).attr(\"alignment-baseline\",\"after-edge\").call(v),U.text(function(t){return x(t)(t.domainScale.domain().slice(-1)[0])});var V=N.selectAll(\".axisExtentBottom\").data(i,n);V.enter().append(\"g\").classed(\"axisExtentBottom\",!0),V.attr(\"transform\",function(t){return\"translate(0,\"+(t.model.height+b.axisExtentOffset)+\")\"});var H=V.selectAll(\".axisExtentBottomText\").data(i,n);H.enter().append(\"text\").classed(\"axisExtentBottomText\",!0).attr(\"alignment-baseline\",\"before-edge\").call(v),H.text(function(t){return x(t)(t.domainScale.domain()[0])});var q=O.selectAll(\".axisBrush\").data(i,n),G=q.enter().append(\"g\").classed(\"axisBrush\",!0);q.each(function(t){t.brush||(t.brush=_.svg.brush().y(t.unitScale).on(\"brushstart\",w).on(\"brush\",M).on(\"brushend\",k),0===t.filter[0]&&1===t.filter[1]||t.brush.extent(t.filter),_.select(this).call(t.brush))}),G.selectAll(\"rect\").attr(\"x\",-b.bar.capturewidth/2).attr(\"width\",b.bar.capturewidth),G.selectAll(\"rect.extent\").attr(\"fill\",\"url(#filterBarPattern)\").style(\"cursor\",\"ns-resize\").filter(function(t){return 0===t.filter[0]&&1===t.filter[1]}).attr(\"y\",-100),G.selectAll(\".resize rect\").attr(\"height\",b.bar.handleheight).attr(\"opacity\",0).style(\"visibility\",\"visible\"),G.selectAll(\".resize.n rect\").style(\"cursor\",\"n-resize\").attr(\"y\",b.bar.handleoverlap-b.bar.handleheight),G.selectAll(\".resize.s rect\").style(\"cursor\",\"s-resize\").attr(\"y\",b.bar.handleoverlap);var Y=!1,W=!1;return C}},{\"../../lib\":685,\"./constants\":954,\"./lines\":957,d3:107}],959:[function(t,e,r){\"use strict\";var n=t(\"./parcoords\");e.exports=function(t,e){var r=t._fullLayout,i=r._paper,a=r._paperdiv,o={},s={},l=r._size;e.forEach(function(e,r){o[r]=t.data[r].dimensions,s[r]=t.data[r].dimensions.slice()});var u=function(e,r,n){var i=s[e][r],a=i.constraintrange;a&&2===a.length||(a=i.constraintrange=[]),a[0]=n[0],a[1]=n[1],t.emit(\"plotly_restyle\")},c=function(e){t.emit(\"plotly_hover\",e)},h=function(e){t.emit(\"plotly_unhover\",e)},f=function(e,r){function n(t){return!(\"visible\"in t)||t.visible}function i(t,e,r){var n=e.indexOf(r),i=t.indexOf(n);return i===-1&&(i+=e.length),i}var a=function(t){return function(e,n){return i(r,t,e)-i(r,t,n)}}(s[e].filter(n));o[e].sort(a),s[e].filter(function(t){return!n(t)}).sort(function(t){return 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n=t(\"../../components/color/attributes\"),i=t(\"../../plots/font_attributes\"),a=t(\"../../plots/attributes\"),o=t(\"../../lib/extend\").extendFlat;e.exports={labels:{valType:\"data_array\"},label0:{valType:\"number\",dflt:0},dlabel:{valType:\"number\",dflt:1},values:{valType:\"data_array\"},marker:{colors:{valType:\"data_array\"},line:{color:{valType:\"color\",dflt:n.defaultLine,arrayOk:!0},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0}}},text:{valType:\"data_array\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},scalegroup:{valType:\"string\",dflt:\"\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"]},hoverinfo:o({},a.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0},textfont:o({},i,{}),insidetextfont:o({},i,{}),outsidetextfont:o({},i,{}),domain:{x:{valType:\"info_array\",items:[{valType:\"number\",min:0,max:1},{valType:\"number\",min:0,max:1}],dflt:[0,1]},y:{valType:\"info_array\",items:[{valType:\"number\",min:0,max:1},{valType:\"number\",min:0,max:1}],dflt:[0,1]}},hole:{valType:\"number\",min:0,max:1,dflt:0},sort:{valType:\"boolean\",dflt:!0},direction:{valType:\"enumerated\",values:[\"clockwise\",\"counterclockwise\"],dflt:\"counterclockwise\"},rotation:{valType:\"number\",min:-360,max:360,dflt:0},pull:{valType:\"number\",min:0,max:1,dflt:0,arrayOk:!0}}},{\"../../components/color/attributes\":577,\"../../lib/extend\":677,\"../../plots/attributes\":722,\"../../plots/font_attributes\":748}],961:[function(t,e,r){\"use 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l=i(e,u),f=w+e.pxmid[0]*(1-l),d=M+e.pxmid[1]*(1-l),p=r.separators,v=[];s.indexOf(\"label\")!==-1&&v.push(e.label),s.indexOf(\"text\")!==-1&&(o.hovertext?v.push(Array.isArray(o.hovertext)?o.hovertext[e.i]:o.hovertext):o.text&&o.text[e.i]&&v.push(o.text[e.i])),s.indexOf(\"value\")!==-1&&v.push(m.formatPieValue(e.v,p)),s.indexOf(\"percent\")!==-1&&v.push(m.formatPiePercent(e.v/u.vTotal,p)),h.loneHover({x0:f-l*u.r,x1:f+l*u.r,y:d,text:v.join(\"<br>\"),name:s.indexOf(\"name\")!==-1?o.name:void 0,color:e.color,idealAlign:e.pxmid[0]<0?\"left\":\"right\"},{container:a._hoverlayer.node(),outerContainer:a._paper.node()}),h.hover(t,n,\"pie\"),T=!0}function s(e){e.originalEvent=c.event,t.emit(\"plotly_unhover\",{event:c.event,points:[e]}),T&&(h.loneUnhover(r._hoverlayer.node()),T=!1)}function f(){t._hoverdata=[e],t._hoverdata.trace=u.trace,h.click(t,c.event)}function b(t,r,n,i){return\"a\"+i*u.r+\",\"+i*_+\" \"+y+\" \"+e.largeArc+(n?\" 1 \":\" 0 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i=r.marker.line.color;Array.isArray(i)&&(i=i[e.i]||n.defaultLine);var a=r.marker.line.width||0;Array.isArray(a)&&(a=a[e.i]||0),t.style({\"stroke-width\":a,fill:e.color}).call(n.stroke,i)}},{\"../../components/color\":578}],971:[function(t,e,r){\"use strict\";var n=t(\"../scattergl/attributes\");e.exports={x:n.x,y:n.y,xy:{valType:\"data_array\"},indices:{valType:\"data_array\"},xbounds:{valType:\"data_array\"},ybounds:{valType:\"data_array\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1},blend:{valType:\"boolean\",dflt:null},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5},sizemax:{valType:\"number\",min:.1,dflt:20},border:{color:{valType:\"color\",arrayOk:!1},arearatio:{valType:\"number\",min:0,max:1,dflt:0}}}}},{\"../scattergl/attributes\":1020}],972:[function(t,e,r){\"use strict\";function n(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=a(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}function i(t,e){var r=new n(t,e.uid);return r.update(e),r}var a=t(\"gl-pointcloud2d\"),o=t(\"../../lib/str2rgbarray\"),s=t(\"../scatter/get_trace_color\"),l=[\"xaxis\",\"yaxis\"],u=n.prototype;u.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},u.update=function(t){this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=s(t,{})},u.updateFast=function(t){var e,r,n,i,a,s,l=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,c=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,f=t.indices,d=this.bounds;if(c){if(n=c,e=c.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(s=0;s<e;s++)i=n[2*s],a=n[2*s+1],i<d[0]&&(d[0]=i),i>d[2]&&(d[2]=i),a<d[1]&&(d[1]=a),a>d[3]&&(d[3]=a);if(f)r=f;else for(r=new Int32Array(e),s=0;s<e;s++)r[s]=s}else for(e=l.length,n=new Float32Array(2*e),r=new 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r,n,i,a=e||.5,o=0;o<2;o++)r=this.scene[l[o]],n=r._min,n||(n=[]),n.push({val:t[o],pad:a}),i=r._max,i||(i=[]),i.push({val:t[o+2],pad:a})},u.dispose=function(){this.pointcloud.dispose()},e.exports=i},{\"../../lib/str2rgbarray\":703,\"../scatter/get_trace_color\":984,\"gl-pointcloud2d\":214}],973:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./attributes\");e.exports=function(t,e,r){function a(r,a){return n.coerce(t,e,i,r,a)}a(\"x\"),a(\"y\"),a(\"xbounds\"),a(\"ybounds\"),t.xy&&t.xy instanceof Float32Array&&(e.xy=t.xy),t.indices&&t.indices instanceof Int32Array&&(e.indices=t.indices),a(\"text\"),a(\"marker.color\",r),a(\"marker.opacity\"),a(\"marker.blend\"),a(\"marker.sizemin\"),a(\"marker.sizemax\"),a(\"marker.border.color\",r),a(\"marker.border.arearatio\")}},{\"../../lib\":685,\"./attributes\":971}],974:[function(t,e,r){\"use strict\";var n={};n.attributes=t(\"./attributes\"),n.supplyDefaults=t(\"./defaults\"),n.calc=t(\"../scatter3d/calc\"),n.plot=t(\"./convert\"),n.moduleType=\"trace\",n.name=\"pointcloud\",n.basePlotModule=t(\"../../plots/gl2d\"),n.categories=[\"gl2d\",\"showLegend\"],n.meta={},e.exports=n},{\"../../plots/gl2d\":764,\"../scatter3d/calc\":1e3,\"./attributes\":971,\"./convert\":972,\"./defaults\":973}],975:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){n.mergeArray(e.text,t,\"tx\"),n.mergeArray(e.hovertext,t,\"htx\"),n.mergeArray(e.customdata,t,\"data\"),n.mergeArray(e.textposition,t,\"tp\"),e.textfont&&(n.mergeArray(e.textfont.size,t,\"ts\"),n.mergeArray(e.textfont.color,t,\"tc\"),n.mergeArray(e.textfont.family,t,\"tf\"));var r=e.marker;if(r){n.mergeArray(r.size,t,\"ms\"),n.mergeArray(r.opacity,t,\"mo\"),n.mergeArray(r.symbol,t,\"mx\"),n.mergeArray(r.color,t,\"mc\");var 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n=t(\"../../components/colorscale/color_attributes\"),i=t(\"../../components/errorbars/attributes\"),a=t(\"../../components/colorbar/attributes\"),o=t(\"../../components/drawing/attributes\").dash,s=t(\"../../components/drawing\"),l=(t(\"./constants\"),t(\"../../lib/extend\").extendFlat);e.exports={x:{valType:\"data_array\"},x0:{valType:\"any\",dflt:0},dx:{valType:\"number\",dflt:1},y:{valType:\"data_array\"},y0:{valType:\"any\",dflt:0},customdata:{valType:\"data_array\"},dy:{valType:\"number\",dflt:1},ids:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},mode:{valType:\"flaglist\",flags:[\"lines\",\"markers\",\"text\"],extras:[\"none\"]},hoveron:{valType:\"flaglist\",flags:[\"points\",\"fills\"]},line:{color:{valType:\"color\"},width:{valType:\"number\",min:0,dflt:2},shape:{valType:\"enumerated\",values:[\"linear\",\"spline\",\"hv\",\"vh\",\"hvh\",\"vhv\"],dflt:\"linear\"},smoothing:{valType:\"number\",min:0,max:1.3,dflt:1},dash:o,simplify:{valType:\"boolean\",dflt:!0}},connectgaps:{valType:\"boolean\",dflt:!1},fill:{valType:\"enumerated\",values:[\"none\",\"tozeroy\",\"tozerox\",\"tonexty\",\"tonextx\",\"toself\",\"tonext\"],dflt:\"none\"},fillcolor:{valType:\"color\"},marker:l({},{symbol:{valType:\"enumerated\",values:s.symbolList,dflt:\"circle\",arrayOk:!0},opacity:{valType:\"number\",min:0,max:1,arrayOk:!0},size:{valType:\"number\",min:0,dflt:6,arrayOk:!0},maxdisplayed:{valType:\"number\",min:0,dflt:0},sizeref:{valType:\"number\",dflt:1},sizemin:{valType:\"number\",min:0,dflt:0},sizemode:{valType:\"enumerated\",values:[\"diameter\",\"area\"],dflt:\"diameter\"},showscale:{valType:\"boolean\",dflt:!1},colorbar:a,line:l({},{width:{valType:\"number\",min:0,arrayOk:!0}},n(\"marker.line\"))},n(\"marker\")),textposition:{valType:\"enumerated\",values:[\"top 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r,l,u,c=i.getFromId(t,e.xaxis||\"x\"),h=i.getFromId(t,e.yaxis||\"y\"),f=c.makeCalcdata(e,\"x\"),d=h.makeCalcdata(e,\"y\"),p=Math.min(f.length,d.length);c._minDtick=0,h._minDtick=0,f.length>p&&f.splice(p,f.length-p),d.length>p&&d.splice(p,d.length-p);var m={padded:!0},g={padded:!0};if(a.hasMarkers(e)){if(r=e.marker,l=r.size,Array.isArray(l)){var v={type:\"linear\"};i.setConvert(v),l=v.makeCalcdata(e.marker,\"size\"),l.length>p&&l.splice(p,l.length-p)}var y,b=1.6*(e.marker.sizeref||1);y=\"area\"===e.marker.sizemode?function(t){return Math.max(Math.sqrt((t||0)/b),3)}:function(t){return Math.max((t||0)/b,3)},m.ppad=g.ppad=Array.isArray(l)?l.map(y):y(l)}o(e),!(\"tozerox\"===e.fill||\"tonextx\"===e.fill&&t.firstscatter)||f[0]===f[p-1]&&d[0]===d[p-1]?e.error_y.visible||[\"tonexty\",\"tozeroy\"].indexOf(e.fill)===-1&&(a.hasMarkers(e)||a.hasText(e))||(m.padded=!1,m.ppad=0):m.tozero=!0,!(\"tozeroy\"===e.fill||\"tonexty\"===e.fill&&t.firstscatter)||f[0]===f[p-1]&&d[0]===d[p-1]?[\"tonextx\",\"tozerox\"].indexOf(e.fill)!==-1&&(g.padded=!1):g.tozero=!0,i.expand(c,f,m),i.expand(h,d,g);var x=new Array(p);for(u=0;u<p;u++)x[u]=n(f[u])&&n(d[u])?{x:f[u],y:d[u]}:{x:!1,y:!1},e.ids&&(x[u].id=String(e.ids[u]));return s(x,e),t.firstscatter=!1,x}},{\"../../plots/cartesian/axes\":724,\"./arrays_to_calcdata\":975,\"./colorscale_calc\":980,\"./subtypes\":996,\"fast-isnumeric\":116}],978:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=0;e<t.length;e++){var r=t[e];if(\"scatter\"===r.type){var n=r.fill;if(\"none\"!==n&&\"toself\"!==n&&(r.opacity=void 0,\"tonexty\"===n||\"tonextx\"===n))for(var i=e-1;i>=0;i--){var a=t[i];if(\"scatter\"===a.type&&a.xaxis===r.xaxis&&a.yaxis===r.yaxis){a.opacity=void 0;break}}}}}},{}],979:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=t(\"../../plots/plots\"),o=t(\"../../components/colorscale\"),s=t(\"../../components/colorbar/draw\");e.exports=function(t,e){var r=e[0].trace,l=r.marker,u=\"cb\"+r.uid;if(t._fullLayout._infolayer.selectAll(\".\"+u).remove(),void 0===l||!l.showscale)return void a.autoMargin(t,u);var c=l.color,h=l.cmin,f=l.cmax;n(h)||(h=i.aggNums(Math.min,null,c)),n(f)||(f=i.aggNums(Math.max,null,c));var d=e[0].t.cb=s(t,u),p=o.makeColorScaleFunc(o.extractScale(l.colorscale,h,f),{noNumericCheck:!0});d.fillcolor(p).filllevels({start:h,end:f,size:(f-h)/254}).options(l.colorbar)()}},{\"../../components/colorbar/draw\":581,\"../../components/colorscale\":592,\"../../lib\":685,\"../../plots/plots\":787,\"fast-isnumeric\":116}],980:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/has_colorscale\"),i=t(\"../../components/colorscale/calc\"),a=t(\"./subtypes\");e.exports=function(t){a.hasLines(t)&&n(t,\"line\")&&i(t,t.line.color,\"line\",\"c\"),a.hasMarkers(t)&&(n(t,\"marker\")&&i(t,t.marker.color,\"marker\",\"c\"),n(t,\"marker.line\")&&i(t,t.marker.line.color,\"marker.line\",\"c\"))}},{\"../../components/colorscale/calc\":584,\"../../components/colorscale/has_colorscale\":591,\"./subtypes\":996}],981:[function(t,e,r){\"use strict\";e.exports={PTS_LINESONLY:20}},{}],982:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./attributes\"),a=t(\"./constants\"),o=t(\"./subtypes\"),s=t(\"./xy_defaults\"),l=t(\"./marker_defaults\"),u=t(\"./line_defaults\"),c=t(\"./line_shape_defaults\"),h=t(\"./text_defaults\"),f=t(\"./fillcolor_defaults\"),d=t(\"../../components/errorbars/defaults\");e.exports=function(t,e,r,p){function m(r,a){return n.coerce(t,e,i,r,a)}var g=s(t,e,p,m),v=g<a.PTS_LINESONLY?\"lines+markers\":\"lines\";if(!g)return void(e.visible=!1);m(\"customdata\"),m(\"text\"),m(\"hovertext\"),m(\"mode\",v),m(\"ids\"),o.hasLines(e)&&(u(t,e,r,p,m),c(t,e,m),m(\"connectgaps\"),m(\"line.simplify\")),o.hasMarkers(e)&&l(t,e,r,p,m),o.hasText(e)&&h(t,e,p,m);var y=[];(o.hasMarkers(e)||o.hasText(e))&&(m(\"marker.maxdisplayed\"),y.push(\"points\")),m(\"fill\"),\"none\"!==e.fill&&(f(t,e,r,m),o.hasLines(e)||c(t,e,m)),\"tonext\"!==e.fill&&\"toself\"!==e.fill||y.push(\"fills\"),m(\"hoveron\",y.join(\"+\")||\"points\"),d(t,e,r,{axis:\"y\"}),d(t,e,r,{axis:\"x\",inherit:\"y\"})}},{\"../../components/errorbars/defaults\":607,\"../../lib\":685,\"./attributes\":976,\"./constants\":981,\"./fillcolor_defaults\":983,\"./line_defaults\":987,\"./line_shape_defaults\":989,\"./marker_defaults\":992,\"./subtypes\":996,\"./text_defaults\":997,\"./xy_defaults\":998}],983:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\");e.exports=function(t,e,r,i){var a=!1;if(e.marker){var o=e.marker.color,s=(e.marker.line||{}).color;o&&!Array.isArray(o)?a=o:s&&!Array.isArray(s)&&(a=s)}i(\"fillcolor\",n.addOpacity((e.line||{}).color||a||r,.5))}},{\"../../components/color\":578}],984:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"./subtypes\");e.exports=function(t,e){var r,a;if(\"lines\"===t.mode)return r=t.line.color,r&&n.opacity(r)?r:t.fillcolor;if(\"none\"===t.mode)return t.fill?t.fillcolor:\"\";var o=e.mcc||(t.marker||{}).color,s=e.mlcc||((t.marker||{}).line||{}).color;return a=o&&n.opacity(o)?o:s&&n.opacity(s)&&(e.mlw||((t.marker||{}).line||{}).width)?s:\"\",a?n.opacity(a)<.3?n.addOpacity(a,.3):a:(r=(t.line||{}).color,r&&n.opacity(r)&&i.hasLines(t)&&t.line.width?r:t.fillcolor)}},{\"../../components/color\":578,\"./subtypes\":996}],985:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../plots/cartesian/graph_interact\"),a=t(\"../../plots/cartesian/constants\"),o=t(\"../../components/errorbars\"),s=t(\"./get_trace_color\"),l=t(\"../../components/color\");e.exports=function(t,e,r,u){var c=t.cd,h=c[0].trace,f=t.xa,d=t.ya,p=f.c2p(e),m=d.c2p(r),g=[p,m];if(h.hoveron.indexOf(\"points\")!==-1){var v=function(t){var e=Math.max(3,t.mrc||0);return Math.max(Math.abs(f.c2p(t.x)-p)-e,1-3/e)},y=function(t){var e=Math.max(3,t.mrc||0);return Math.max(Math.abs(d.c2p(t.y)-m)-e,1-3/e)},b=function(t){var e=Math.max(3,t.mrc||0),r=f.c2p(t.x)-p,n=d.c2p(t.y)-m;return Math.max(Math.sqrt(r*r+n*n)-e,1-3/e)},x=i.getDistanceFunction(u,v,y,b);if(i.getClosest(c,x,t),t.index!==!1){var _=c[t.index],w=f.c2p(_.x,!0),M=d.c2p(_.y,!0),k=_.mrc||1;return 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v=\"projection.\"+m[g];f(v+\".show\")&&(f(v+\".opacity\"),f(v+\".scale\"))}c(t,e,r,{axis:\"z\"}),c(t,e,r,{axis:\"y\",inherit:\"z\"}),c(t,e,r,{axis:\"x\",inherit:\"z\"})}},{\"../../components/errorbars/defaults\":607,\"../../lib\":685,\"../../registry\":802,\"../scatter/line_defaults\":987,\"../scatter/marker_defaults\":992,\"../scatter/subtypes\":996,\"../scatter/text_defaults\":997,\"./attributes\":999}],1004:[function(t,e,r){\"use strict\";var n={};n.plot=t(\"./convert\"),n.attributes=t(\"./attributes\"),n.markerSymbols=t(\"../../constants/gl_markers\"),n.supplyDefaults=t(\"./defaults\"),n.colorbar=t(\"../scatter/colorbar\"),n.calc=t(\"./calc\"),n.moduleType=\"trace\",n.name=\"scatter3d\",n.basePlotModule=t(\"../../plots/gl3d\"),n.categories=[\"gl3d\",\"symbols\",\"markerColorscale\",\"showLegend\"],n.meta={},e.exports=n},{\"../../constants/gl_markers\":664,\"../../plots/gl3d\":767,\"../scatter/colorbar\":979,\"./attributes\":999,\"./calc\":1e3,\"./convert\":1002,\"./defaults\":1003}],1005:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../components/colorscale/color_attributes\"),o=t(\"../../components/colorbar/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=n.marker,u=n.line,c=l.line;e.exports={carpet:{valType:\"string\"},a:{valType:\"data_array\"},b:{valType:\"data_array\"},sum:{valType:\"number\",dflt:0,min:0},mode:s({},n.mode,{dflt:\"markers\"}),text:s({},n.text,{}),line:{color:u.color,width:u.width,dash:u.dash,shape:s({},u.shape,{values:[\"linear\",\"spline\"]}),smoothing:u.smoothing},connectgaps:n.connectgaps,fill:s({},n.fill,{values:[\"none\",\"toself\",\"tonext\"]}),fillcolor:n.fillcolor,marker:s({},{symbol:l.symbol,opacity:l.opacity,maxdisplayed:l.maxdisplayed,size:l.size,sizeref:l.sizeref,sizemin:l.sizemin,sizemode:l.sizemode,line:s({},{width:c.width},a(\"marker\".line))},a(\"marker\"),{showscale:l.showscale,colorbar:o}),textfont:n.textfont,textposition:n.textposition,hoverinfo:s({},i.hoverinfo,{flags:[\"a\",\"b\",\"c\",\"text\",\"name\"]}),hoveron:n.hoveron}},{\"../../components/colorbar/attributes\":579,\"../../components/colorscale/color_attributes\":585,\"../../lib/extend\":677,\"../../plots/attributes\":722,\"../scatter/attributes\":976}],1006:[function(t,e,r){\"use 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0!==y&&a.mergeArray(y,d,\"ms\"),d}}},{\"../../lib\":685,\"../../plots/cartesian/axes\":724,\"../carpet/lookup_carpetid\":858,\"../scatter/colorscale_calc\":980,\"../scatter/subtypes\":996,\"fast-isnumeric\":116}],1007:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../scatter/constants\"),a=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/line_shape_defaults\"),u=t(\"../scatter/text_defaults\"),c=t(\"../scatter/fillcolor_defaults\"),h=t(\"./attributes\");e.exports=function(t,e,r,f){function d(r,i){return n.coerce(t,e,h,r,i)}d(\"carpet\"),e.xaxis=\"x\",e.yaxis=\"y\";var p,m=d(\"a\"),g=d(\"b\");if(!(p=Math.min(m.length,g.length)))return void(e.visible=!1);m&&p<m.length&&(e.a=m.slice(0,p)),g&&p<g.length&&(e.b=g.slice(0,p)),d(\"sum\"),d(\"text\"),d(\"mode\",p<i.PTS_LINESONLY?\"lines+markers\":\"lines\"),a.hasLines(e)&&(s(t,e,r,f,d),l(t,e,d),d(\"connectgaps\")),a.hasMarkers(e)&&o(t,e,r,f,d),a.hasText(e)&&u(t,e,f,d);var v=[];(a.hasMarkers(e)||a.hasText(e))&&(d(\"marker.maxdisplayed\"),v.push(\"points\")),d(\"fill\"),\"none\"!==e.fill&&(c(t,e,r,d),a.hasLines(e)||l(t,e,d)),d(\"hoverinfo\",1===f._dataLength?\"a+b+text\":void 0),\"tonext\"!==e.fill&&\"toself\"!==e.fill||v.push(\"fills\"),d(\"hoveron\",v.join(\"+\")||\"points\")}},{\"../../lib\":685,\"../scatter/constants\":981,\"../scatter/fillcolor_defaults\":983,\"../scatter/line_defaults\":987,\"../scatter/line_shape_defaults\":989,\"../scatter/marker_defaults\":992,\"../scatter/subtypes\":996,\"../scatter/text_defaults\":997,\"./attributes\":1005}],1008:[function(t,e,r){\"use strict\";var n=t(\"../scatter/hover\");e.exports=function(t,e,r,i){function a(t,e){g.push((t.labelprefix&&t.labelprefix.length>0?t.labelprefix:t._hovertitle+\": \")+e.toFixed(3)+t.labelsuffix)}var o=n(t,e,r,i);if(o&&o[0].index!==!1){var s=o[0];if(void 0===s.index){var l=1-s.y0/t.ya._length,u=t.xa._length,c=u*l/2,h=u-c;return s.x0=Math.max(Math.min(s.x0,h),c),s.x1=Math.max(Math.min(s.x1,h),c),o}var f=s.cd[s.index];s.a=f.a,s.b=f.b,s.xLabelVal=void 0,s.yLabelVal=void 0;var d=s.trace,p=d._carpet,m=d.hoverinfo.split(\"+\"),g=[];m.indexOf(\"all\")!==-1&&(m=[\"a\",\"b\"]),m.indexOf(\"a\")!==-1&&a(p.aaxis,f.a),m.indexOf(\"b\")!==-1&&a(p.baxis,f.b);var v=p.ab2ij([f.a,f.b]),y=Math.floor(v[0]),b=v[0]-y,x=Math.floor(v[1]),_=v[1]-x,w=p.evalxy([],y,x,b,_);return g.push(\"y: \"+w[1].toFixed(3)),s.extraText=g.join(\"<br>\"),o}}},{\"../scatter/hover\":985}],1009:[function(t,e,r){\"use strict\";var n={};n.attributes=t(\"./attributes\"),n.supplyDefaults=t(\"./defaults\"),n.colorbar=t(\"../scatter/colorbar\"),n.calc=t(\"./calc\"),n.plot=t(\"./plot\"),n.style=t(\"./style\"),n.hoverPoints=t(\"./hover\"),n.selectPoints=t(\"./select\"),n.moduleType=\"trace\",n.name=\"scattercarpet\",n.basePlotModule=t(\"../../plots/cartesian\"),n.categories=[\"carpet\",\"symbols\",\"markerColorscale\",\"showLegend\",\"carpetDependent\"],n.meta={},e.exports=n},{\"../../plots/cartesian\":734,\"../scatter/colorbar\":979,\"./attributes\":1005,\"./calc\":1006,\"./defaults\":1007,\"./hover\":1008,\"./plot\":1010,\"./select\":1011,\"./style\":1012}],1010:[function(t,e,r){\"use strict\";var n=t(\"../scatter/plot\"),i=t(\"../../plots/cartesian/axes\");e.exports=function(t,e,r){var a,o,s,l=r[0][0].carpet,u={xaxis:i.getFromId(t,l.xaxis||\"x\"),yaxis:i.getFromId(t,l.yaxis||\"y\"),plot:e.plot};for(n(u.graphDiv,u,r),a=0;a<r.length;a++)o=r[a][0].trace,s=u.plot.selectAll(\"g.trace\"+o.uid+\" .js-line\"),s.attr(\"clip-path\",\"url(#clip\"+l.uid+\"carpet)\")}},{\"../../plots/cartesian/axes\":724,\"../scatter/plot\":993}],1011:[function(t,e,r){\"use strict\";var n=t(\"../scatter/select\");e.exports=function(t,e){var r=n(t,e);if(r){var i,a,o,s=t.cd;for(o=0;o<r.length;o++)i=r[o],a=s[i.pointNumber],i.a=a.a,i.b=a.b,i.c=a.c,delete i.x,delete i.y;return r}}},{\"../scatter/select\":994}],1012:[function(t,e,r){\"use strict\";var n=t(\"../scatter/style\");e.exports=function(t){for(var e=t._fullLayout._modules,r=0;r<e.length;r++)if(\"scatter\"===e[r].name)return;n(t)}},{\"../scatter/style\":995}],1013:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../components/colorscale/color_attributes\"),o=t(\"../../components/drawing/attributes\").dash,s=t(\"../../lib/extend\").extendFlat,l=n.marker,u=n.line,c=l.line;e.exports={lon:{valType:\"data_array\"},lat:{valType:\"data_array\"},locations:{valType:\"data_array\"},locationmode:{valType:\"enumerated\",values:[\"ISO-3\",\"USA-states\",\"country names\"],dflt:\"ISO-3\"},mode:s({},n.mode,{dflt:\"markers\"}),text:s({},n.text,{}),hovertext:s({},n.hovertext,{}),textfont:n.textfont,textposition:n.textposition,line:{color:u.color,width:u.width,dash:o},connectgaps:n.connectgaps,marker:s({},{symbol:l.symbol,opacity:l.opacity,size:l.size,sizeref:l.sizeref,sizemin:l.sizemin,sizemode:l.sizemode,showscale:l.showscale,colorbar:l.colorbar,line:s({},{width:c.width},a(\"marker.line\"))},a(\"marker\")),fill:{valType:\"enumerated\",values:[\"none\",\"toself\"],dflt:\"none\"},fillcolor:n.fillcolor,hoverinfo:s({},i.hoverinfo,{flags:[\"lon\",\"lat\",\"location\",\"text\",\"name\"]})}},{\"../../components/colorscale/color_attributes\":585,\"../../components/drawing/attributes\":601,\"../../lib/extend\":677,\"../../plots/attributes\":722,\"../scatter/attributes\":976}],1014:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../constants/numerical\").BADNUM,a=t(\"../scatter/colorscale_calc\"),o=t(\"../scatter/arrays_to_calcdata\");e.exports=function(t,e){for(var r=Array.isArray(e.locations),s=r?e.locations.length:e.lon.length,l=new Array(s),u=0;u<s;u++){var c=l[u]={};if(r){var h=e.locations[u];c.loc=\"string\"==typeof h?h:null}else{var f=e.lon[u],d=e.lat[u];n(f)&&n(d)?c.lonlat=[+f,+d]:c.lonlat=[i,i]}}return o(l,e),a(e),l}},{\"../../constants/numerical\":666,\"../scatter/arrays_to_calcdata\":975,\"../scatter/colorscale_calc\":980,\"fast-isnumeric\":116}],1015:[function(t,e,r){\"use strict\";function n(t,e,r){var n,i,a=0,o=r(\"locations\");return o?(r(\"locationmode\"),a=o.length):(n=r(\"lon\")||[],i=r(\"lat\")||[],a=Math.min(n.length,i.length),a<n.length&&(e.lon=n.slice(0,a)),a<i.length&&(e.lat=i.slice(0,a)),a)}var i=t(\"../../lib\"),a=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/text_defaults\"),u=t(\"../scatter/fillcolor_defaults\"),c=t(\"./attributes\");e.exports=function(t,e,r,h){function f(r,n){return i.coerce(t,e,c,r,n)}if(!n(t,e,f))return void(e.visible=!1);f(\"text\"),f(\"hovertext\"),f(\"mode\"),a.hasLines(e)&&(s(t,e,r,h,f),f(\"connectgaps\")),a.hasMarkers(e)&&o(t,e,r,h,f),a.hasText(e)&&l(t,e,h,f),f(\"fill\"),\"none\"!==e.fill&&u(t,e,r,f),f(\"hoverinfo\",1===h._dataLength?\"lon+lat+location+text\":void 0)}},{\"../../lib\":685,\"../scatter/fillcolor_defaults\":983,\"../scatter/line_defaults\":987,\"../scatter/marker_defaults\":992,\"../scatter/subtypes\":996,\"../scatter/text_defaults\":997,\"./attributes\":1013}],1016:[function(t,e,r){\"use strict\";e.exports=function(t,e){return t.lon=e.lon,t.lat=e.lat,t.location=e.lon?e.lon:null,t}},{}],1017:[function(t,e,r){\"use strict\";function n(t,e,r){function n(t){return a.tickText(r,r.c2l(t),\"hover\").text+\"\\xb0\"}var i=t.hoverinfo,o=\"all\"===i?l.hoverinfo.flags:i.split(\"+\"),s=o.indexOf(\"location\")!==-1&&Array.isArray(t.locations),u=o.indexOf(\"lon\")!==-1,c=o.indexOf(\"lat\")!==-1,h=o.indexOf(\"text\")!==-1,f=[];if(s?f.push(e.loc):u&&c?f.push(\"(\"+n(e.lonlat[0])+\", \"+n(e.lonlat[1])+\")\"):u?f.push(\"lon: \"+n(e.lonlat[0])):c&&f.push(\"lat: \"+n(e.lonlat[1])),h){var d;e.htx?d=e.htx:t.hovertext?d=t.hovertext:e.tx?d=e.tx:t.text&&(d=t.text),Array.isArray(d)||f.push(d)}return f.join(\"<br>\")}var i=t(\"../../plots/cartesian/graph_interact\"),a=t(\"../../plots/cartesian/axes\"),o=t(\"../../constants/numerical\").BADNUM,s=t(\"../scatter/get_trace_color\"),l=t(\"./attributes\");e.exports=function(t){function e(t){return h.projection(t)}function r(t){var r=t.lonlat;if(r[0]===o)return 1/0;if(h.isLonLatOverEdges(r))return 1/0;var n=e(r),i=u.c2p(),a=c.c2p(),s=Math.abs(i-n[0]),l=Math.abs(a-n[1]),f=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(s*s+l*l)-f,1-3/f)}var a=t.cd,l=a[0].trace,u=t.xa,c=t.ya,h=t.subplot;if(i.getClosest(a,r,t),t.index!==!1){var f=a[t.index],d=f.lonlat,p=e(d),m=f.mrc||1;return t.x0=p[0]-m,t.x1=p[0]+m,t.y0=p[1]-m,t.y1=p[1]+m,t.loc=f.loc,t.lat=d[0],t.lon=d[1],t.color=s(l,f),t.extraText=n(l,f,h.mockAxis),[t]}}},{\"../../constants/numerical\":666,\"../../plots/cartesian/axes\":724,\"../../plots/cartesian/graph_interact\":733,\"../scatter/get_trace_color\":984,\"./attributes\":1013}],1018:[function(t,e,r){\"use strict\";var n={};n.attributes=t(\"./attributes\"),n.supplyDefaults=t(\"./defaults\"),n.colorbar=t(\"../scatter/colorbar\"),n.calc=t(\"./calc\"),n.plot=t(\"./plot\"),n.hoverPoints=t(\"./hover\"),n.eventData=t(\"./event_data\"),n.moduleType=\"trace\",n.name=\"scattergeo\",n.basePlotModule=t(\"../../plots/geo\"),n.categories=[\"geo\",\"symbols\",\"markerColorscale\",\"showLegend\"],n.meta={},e.exports=n},{\"../../plots/geo\":752,\"../scatter/colorbar\":979,\"./attributes\":1013,\"./calc\":1014,\"./defaults\":1015,\"./event_data\":1016,\"./hover\":1017,\"./plot\":1019}],1019:[function(t,e,r){\"use strict\";function n(t,e){var r=t[0].trace;if(Array.isArray(r.locations))for(var n=c(r,e),i=r.locationmode,a=0;a<t.length;a++){var o=t[a],s=h(i,o.loc,n);o.lonlat=s?s.properties.ct:[u,u]}}function i(t){var e=t.framework.selectAll(\"g.trace.scattergeo\");e.style(\"opacity\",function(t){return t[0].trace.opacity}),e.each(function(t){var e=t[0].trace,r=a.select(this);r.selectAll(\"path.point\").call(o.pointStyle,e),r.selectAll(\"text\").call(o.textPointStyle,e)}),e.selectAll(\"path.js-line\").style(\"fill\",\"none\").each(function(t){var e=a.select(this),r=t.trace,n=r.line||{};e.call(s.stroke,n.color).call(o.dashLine,n.dash||\"\",n.width||0),\"none\"!==r.fill&&e.call(s.fill,r.fillcolor)})}var a=t(\"d3\"),o=t(\"../../components/drawing\"),s=t(\"../../components/color\"),l=t(\"../../lib\"),u=t(\"../../constants/numerical\").BADNUM,c=t(\"../../lib/topojson_utils\").getTopojsonFeatures,h=t(\"../../lib/geo_location_utils\").locationToFeature,f=t(\"../../lib/geojson_utils\"),d=t(\"../scatter/subtypes\");e.exports=function(t,e){function r(t){return t[0].trace.uid}function o(t,e){t.lonlat[0]===u&&a.select(e).remove()}for(var s=0;s<e.length;s++)n(e[s],t.topojson);var c=t.framework.select(\".scattergeolayer\").selectAll(\"g.trace.scattergeo\").data(e,r);c.enter().append(\"g\").attr(\"class\",\"trace 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n=t(\"../scatter/attributes\"),i=t(\"../../components/colorscale/color_attributes\"),a=t(\"../../constants/gl2d_dashes\"),o=t(\"../../constants/gl_markers\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../lib/extend\").extendDeep,u=n.line,c=n.marker,h=c.line;e.exports={x:n.x,x0:n.x0,dx:n.dx,y:n.y,y0:n.y0,dy:n.dy,text:s({},n.text,{}),mode:{valType:\"flaglist\",flags:[\"lines\",\"markers\"],extras:[\"none\"]},line:{color:u.color,width:u.width,dash:{valType:\"enumerated\",values:Object.keys(a),dflt:\"solid\"}},marker:l({},i(\"marker\"),{symbol:{valType:\"enumerated\",values:Object.keys(o),dflt:\"circle\",arrayOk:!0},size:c.size,sizeref:c.sizeref,sizemin:c.sizemin,sizemode:c.sizemode,opacity:c.opacity,showscale:c.showscale,colorbar:c.colorbar,line:l({},i(\"marker.line\"),{width:h.width})}),connectgaps:n.connectgaps,fill:s({},n.fill,{values:[\"none\",\"tozeroy\",\"tozerox\"]}),fillcolor:n.fillcolor,error_y:n.error_y,error_x:n.error_x}},{\"../../components/colorscale/color_attributes\":585,\"../../constants/gl2d_dashes\":662,\"../../constants/gl_markers\":664,\"../../lib/extend\":677,\"../scatter/attributes\":976}],1021:[function(t,e,r){\"use strict\";function n(t,e){this.scene=t,this.uid=e,this.type=\"scattergl\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.connectgaps=!0,this.index=null,this.idToIndex=[],this.bounds=[0,0,0,0],this.isVisible=!1,this.hasLines=!1,this.hasErrorX=!1,this.hasErrorY=!1,this.hasMarkers=!1,this.line=this.initObject(d,{positions:new Float64Array(0),color:[0,0,0,1],width:1,fill:[!1,!1,!1,!1],fillColor:[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],dashes:[1]},0),this.errorX=this.initObject(p,{positions:new Float64Array(0),errors:new Float64Array(0),lineWidth:1,capSize:0,color:[0,0,0,1]},1),this.errorY=this.initObject(p,{positions:new Float64Array(0),errors:new Float64Array(0),lineWidth:1,capSize:0,color:[0,0,0,1]},2);var r={positions:new 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v=0;v<a;++v)e=n[v],r=i[v],m(r)&&(d||(e=g.dateTime2ms(e,f)),o[c++]=v,s[h++]=e,s[h++]=r,l[0]=Math.min(l[0],e),l[1]=Math.min(l[1],r),l[2]=Math.max(l[2],e),l[3]=Math.max(l[3],r));s=_(s,h),this.idToIndex=o,this.updateLines(t,s),this.updateError(\"X\",t),this.updateError(\"Y\",t);var b;if(this.hasMarkers){this.scatter.options.positions=s;var w=x(t.marker.color),M=x(t.marker.line.color),k=t.opacity*t.marker.opacity;w[3]*=k,this.scatter.options.color=w,M[3]*=k,this.scatter.options.borderColor=M,b=t.marker.size,this.scatter.options.size=b,this.scatter.options.borderSize=t.marker.line.width,this.scatter.update()}else this.scatter.clear();this.fancyScatter.clear(),this.expandAxesFast(l,b)},L.updateFancy=function(t){var e=this.scene,r=e.xaxis,n=e.yaxis,a=this.bounds,o=this.pickXData=r.makeCalcdata(t,\"x\").slice(),l=this.pickYData=n.makeCalcdata(t,\"y\").slice();this.xData=o.slice(),this.yData=l.slice();var u,c,h,f,d,p,m,g,v=b.calcFromTrace(t,e.fullLayout),y=o.length,x=new Array(y),w=new 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O,j=k(t),R=t.marker,F=R.opacity,N=t.opacity,B=s(R,F,N,y),U=D(R.symbol,y),V=C(R.line.width,y),H=s(R.line,F,N,y);for(P=i(j,R.size,y),u=0;u<T;++u)for(O=x[u],this.scatter.options.sizes[u]=4*P[O],this.scatter.options.glyphs[u]=U[O],this.scatter.options.borderWidths[u]=.5*V[O],c=0;c<4;++c)this.scatter.options.colors[4*u+c]=B[4*O+c],this.scatter.options.borderColors[4*u+c]=H[4*O+c];this.fancyScatter.update()}else this.fancyScatter.clear();this.scatter.clear(),this.expandAxesFancy(o,l,P)},L.updateLines=function(t,e){var r;if(this.hasLines){var n=e;if(!t.connectgaps){var i=0,a=this.xData,s=this.yData;for(n=new Float64Array(2*a.length),r=0;r<a.length;++r)n[i++]=a[r],n[i++]=s[r]}this.line.options.positions=n;var l=o(t.line.color,t.opacity,1),u=Math.round(.5*this.line.options.width),c=(S[t.line.dash]||[1]).slice();for(r=0;r<c.length;++r)c[r]*=u;switch(t.fill){case\"tozeroy\":this.line.options.fill=[!1,!0,!1,!1];break;case\"tozerox\":this.line.options.fill=[!0,!1,!1,!1];break;default:this.line.options.fill=[!1,!1,!1,!1]}var h=x(t.fillcolor);this.line.options.color=l,this.line.options.width=2*t.line.width,this.line.options.dashes=c,this.line.options.fillColor=[h,h,h,h],this.line.update()}else this.line.clear()},L.updateError=function(t,e,r,n){var i=this[\"error\"+t],a=e[\"error_\"+t.toLowerCase()];\"x\"===t.toLowerCase()&&a.copy_ystyle&&(a=e.error_y),this[\"hasError\"+t]?(i.options.positions=r,i.options.errors=n,i.options.capSize=a.width,i.options.lineWidth=a.thickness/2,i.options.color=o(a.color,1,1),i.update()):i.clear()},L.expandAxesFast=function(t,e){for(var r,n,i,a=e||10,o=0;o<2;o++)r=this.scene[E[o]],n=r._min,n||(n=[]),n.push({val:t[o],pad:a}),i=r._max,i||(i=[]),i.push({val:t[o+2],pad:a})},L.expandAxesFancy=function(t,e,r){var n=this.scene,i={padded:!0,ppad:r};v.expand(n.xaxis,t,i),v.expand(n.yaxis,e,i)},L.dispose=function(){this.line.dispose(),this.errorX.dispose(),this.errorY.dispose(),this.scatter.dispose(),this.fancyScatter.dispose()},e.exports=c},{\"../../components/errorbars\":608,\"../../constants/gl2d_dashes\":662,\"../../constants/gl_markers\":664,\"../../lib\":685,\"../../lib/gl_format_color\":682,\"../../lib/str2rgbarray\":703,\"../../lib/typed_array_truncate\":707,\"../../plots/cartesian/axes\":724,\"../../plots/cartesian/axis_autotype\":725,\"../scatter/get_trace_color\":984,\"../scatter/make_bubble_size_func\":991,\"../scatter/subtypes\":996,\"fast-isnumeric\":116,\"gl-error2d\":144,\"gl-line2d\":154,\"gl-scatter2d\":232,\"gl-scatter2d-sdf\":227}],1022:[function(t,e,r){\"use strict\";var 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vt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(v,U),i=Math.imul(v,V),i=i+Math.imul(y,U)|0,a=Math.imul(y,V),n=n+Math.imul(p,q)|0,i=i+Math.imul(p,G)|0,i=i+Math.imul(m,q)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(h,W)|0,i=i+Math.imul(h,X)|0,i=i+Math.imul(f,W)|0,a=a+Math.imul(f,X)|0;var yt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(x,U),i=Math.imul(x,V),i=i+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(v,q)|0,i=i+Math.imul(v,G)|0,i=i+Math.imul(y,q)|0,a=a+Math.imul(y,G)|0,n=n+Math.imul(p,W)|0,i=i+Math.imul(p,X)|0,i=i+Math.imul(m,W)|0,a=a+Math.imul(m,X)|0,n=n+Math.imul(h,J)|0,i=i+Math.imul(h,Q)|0,i=i+Math.imul(f,J)|0,a=a+Math.imul(f,Q)|0;var bt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=Math.imul(M,V),i=i+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(x,q)|0,i=i+Math.imul(x,G)|0,i=i+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(v,W)|0,i=i+Math.imul(v,X)|0,i=i+Math.imul(y,W)|0,a=a+Math.imul(y,X)|0,n=n+Math.imul(p,J)|0,i=i+Math.imul(p,Q)|0,i=i+Math.imul(m,J)|0,a=a+Math.imul(m,Q)|0,n=n+Math.imul(h,$)|0,i=i+Math.imul(h,tt)|0,i=i+Math.imul(f,$)|0,a=a+Math.imul(f,tt)|0;var xt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=Math.imul(T,V),i=i+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(M,q)|0,i=i+Math.imul(M,G)|0,i=i+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(x,W)|0,i=i+Math.imul(x,X)|0,i=i+Math.imul(_,W)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(v,J)|0,i=i+Math.imul(v,Q)|0,i=i+Math.imul(y,J)|0,a=a+Math.imul(y,Q)|0,n=n+Math.imul(p,$)|0,i=i+Math.imul(p,tt)|0,i=i+Math.imul(m,$)|0,a=a+Math.imul(m,tt)|0,n=n+Math.imul(h,rt)|0,i=i+Math.imul(h,nt)|0,i=i+Math.imul(f,rt)|0,a=a+Math.imul(f,nt)|0;var _t=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=Math.imul(L,V),i=i+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(T,q)|0,i=i+Math.imul(T,G)|0,i=i+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(M,W)|0,i=i+Math.imul(M,X)|0,i=i+Math.imul(k,W)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(x,J)|0,i=i+Math.imul(x,Q)|0,i=i+Math.imul(_,J)|0,a=a+Math.imul(_,Q)|0,n=n+Math.imul(v,$)|0,i=i+Math.imul(v,tt)|0,i=i+Math.imul(y,$)|0,a=a+Math.imul(y,tt)|0,n=n+Math.imul(p,rt)|0,i=i+Math.imul(p,nt)|0,i=i+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0,n=n+Math.imul(h,at)|0,i=i+Math.imul(h,ot)|0,i=i+Math.imul(f,at)|0,a=a+Math.imul(f,ot)|0;var wt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(D,U),i=Math.imul(D,V),i=i+Math.imul(I,U)|0,a=Math.imul(I,V),n=n+Math.imul(L,q)|0,i=i+Math.imul(L,G)|0,i=i+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(T,W)|0,i=i+Math.imul(T,X)|0,i=i+Math.imul(S,W)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(M,J)|0,i=i+Math.imul(M,Q)|0,i=i+Math.imul(k,J)|0,a=a+Math.imul(k,Q)|0,n=n+Math.imul(x,$)|0,i=i+Math.imul(x,tt)|0,i=i+Math.imul(_,$)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(v,rt)|0,i=i+Math.imul(v,nt)|0,i=i+Math.imul(y,rt)|0,a=a+Math.imul(y,nt)|0,n=n+Math.imul(p,at)|0,i=i+Math.imul(p,ot)|0,i=i+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0,n=n+Math.imul(h,lt)|0,i=i+Math.imul(h,ut)|0,i=i+Math.imul(f,lt)|0,a=a+Math.imul(f,ut)|0;var 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kt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(F,U),i=Math.imul(F,V),i=i+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(O,q)|0,i=i+Math.imul(O,G)|0,i=i+Math.imul(j,q)|0,a=a+Math.imul(j,G)|0,n=n+Math.imul(D,W)|0,i=i+Math.imul(D,X)|0,i=i+Math.imul(I,W)|0,a=a+Math.imul(I,X)|0,n=n+Math.imul(L,J)|0,i=i+Math.imul(L,Q)|0,i=i+Math.imul(C,J)|0,a=a+Math.imul(C,Q)|0,n=n+Math.imul(T,$)|0,i=i+Math.imul(T,tt)|0,i=i+Math.imul(S,$)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(M,rt)|0,i=i+Math.imul(M,nt)|0,i=i+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(x,at)|0,i=i+Math.imul(x,ot)|0,i=i+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(v,lt)|0,i=i+Math.imul(v,ut)|0,i=i+Math.imul(y,lt)|0,a=a+Math.imul(y,ut)|0,n=n+Math.imul(p,ht)|0,i=i+Math.imul(p,ft)|0,i=i+Math.imul(m,ht)|0,a=a+Math.imul(m,ft)|0,n=n+Math.imul(h,pt)|0,i=i+Math.imul(h,mt)|0,i=i+Math.imul(f,pt)|0,a=a+Math.imul(f,mt)|0;var At=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(F,q),i=Math.imul(F,G),i=i+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(O,W)|0,i=i+Math.imul(O,X)|0,i=i+Math.imul(j,W)|0,a=a+Math.imul(j,X)|0,n=n+Math.imul(D,J)|0,i=i+Math.imul(D,Q)|0,i=i+Math.imul(I,J)|0,a=a+Math.imul(I,Q)|0,n=n+Math.imul(L,$)|0,i=i+Math.imul(L,tt)|0,i=i+Math.imul(C,$)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(T,rt)|0,i=i+Math.imul(T,nt)|0,i=i+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(M,at)|0,i=i+Math.imul(M,ot)|0,i=i+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(x,lt)|0,i=i+Math.imul(x,ut)|0,i=i+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(v,ht)|0,i=i+Math.imul(v,ft)|0,i=i+Math.imul(y,ht)|0,a=a+Math.imul(y,ft)|0,n=n+Math.imul(p,pt)|0,i=i+Math.imul(p,mt)|0,i=i+Math.imul(m,pt)|0,a=a+Math.imul(m,mt)|0;var Tt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(F,W),i=Math.imul(F,X),i=i+Math.imul(N,W)|0,a=Math.imul(N,X),n=n+Math.imul(O,J)|0,i=i+Math.imul(O,Q)|0,i=i+Math.imul(j,J)|0,a=a+Math.imul(j,Q)|0,n=n+Math.imul(D,$)|0,i=i+Math.imul(D,tt)|0,i=i+Math.imul(I,$)|0,a=a+Math.imul(I,tt)|0,n=n+Math.imul(L,rt)|0,i=i+Math.imul(L,nt)|0,i=i+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(T,at)|0,i=i+Math.imul(T,ot)|0,i=i+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(M,lt)|0,i=i+Math.imul(M,ut)|0,i=i+Math.imul(k,lt)|0,a=a+Math.imul(k,ut)|0,n=n+Math.imul(x,ht)|0,i=i+Math.imul(x,ft)|0,i=i+Math.imul(_,ht)|0,a=a+Math.imul(_,ft)|0,n=n+Math.imul(v,pt)|0,i=i+Math.imul(v,mt)|0,i=i+Math.imul(y,pt)|0,a=a+Math.imul(y,mt)|0;var St=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(F,J),i=Math.imul(F,Q),i=i+Math.imul(N,J)|0,a=Math.imul(N,Q),n=n+Math.imul(O,$)|0,i=i+Math.imul(O,tt)|0,i=i+Math.imul(j,$)|0,a=a+Math.imul(j,tt)|0,n=n+Math.imul(D,rt)|0,i=i+Math.imul(D,nt)|0,i=i+Math.imul(I,rt)|0,a=a+Math.imul(I,nt)|0,n=n+Math.imul(L,at)|0,i=i+Math.imul(L,ot)|0,i=i+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(T,lt)|0,i=i+Math.imul(T,ut)|0,i=i+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|0,n=n+Math.imul(M,ht)|0,i=i+Math.imul(M,ft)|0,i=i+Math.imul(k,ht)|0,a=a+Math.imul(k,ft)|0,n=n+Math.imul(x,pt)|0,i=i+Math.imul(x,mt)|0,i=i+Math.imul(_,pt)|0,a=a+Math.imul(_,mt)|0;var Et=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(F,$),i=Math.imul(F,tt),i=i+Math.imul(N,$)|0,a=Math.imul(N,tt),n=n+Math.imul(O,rt)|0,i=i+Math.imul(O,nt)|0,i=i+Math.imul(j,rt)|0,a=a+Math.imul(j,nt)|0,n=n+Math.imul(D,at)|0,i=i+Math.imul(D,ot)|0,i=i+Math.imul(I,at)|0,a=a+Math.imul(I,ot)|0,n=n+Math.imul(L,lt)|0,i=i+Math.imul(L,ut)|0,i=i+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(T,ht)|0,i=i+Math.imul(T,ft)|0,i=i+Math.imul(S,ht)|0,a=a+Math.imul(S,ft)|0,n=n+Math.imul(M,pt)|0,i=i+Math.imul(M,mt)|0,i=i+Math.imul(k,pt)|0,a=a+Math.imul(k,mt)|0;var Lt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(F,rt),i=Math.imul(F,nt),i=i+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(O,at)|0,i=i+Math.imul(O,ot)|0,i=i+Math.imul(j,at)|0,a=a+Math.imul(j,ot)|0,n=n+Math.imul(D,lt)|0,i=i+Math.imul(D,ut)|0,i=i+Math.imul(I,lt)|0,a=a+Math.imul(I,ut)|0,n=n+Math.imul(L,ht)|0,i=i+Math.imul(L,ft)|0,i=i+Math.imul(C,ht)|0,a=a+Math.imul(C,ft)|0,n=n+Math.imul(T,pt)|0,i=i+Math.imul(T,mt)|0,i=i+Math.imul(S,pt)|0,a=a+Math.imul(S,mt)|0;var Ct=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(F,at),i=Math.imul(F,ot),i=i+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(O,lt)|0,i=i+Math.imul(O,ut)|0,i=i+Math.imul(j,lt)|0,a=a+Math.imul(j,ut)|0,n=n+Math.imul(D,ht)|0,i=i+Math.imul(D,ft)|0,i=i+Math.imul(I,ht)|0,a=a+Math.imul(I,ft)|0,n=n+Math.imul(L,pt)|0,i=i+Math.imul(L,mt)|0,i=i+Math.imul(C,pt)|0,a=a+Math.imul(C,mt)|0;var zt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863,n=Math.imul(F,lt),i=Math.imul(F,ut),i=i+Math.imul(N,lt)|0,a=Math.imul(N,ut),n=n+Math.imul(O,ht)|0,i=i+Math.imul(O,ft)|0,i=i+Math.imul(j,ht)|0,a=a+Math.imul(j,ft)|0,n=n+Math.imul(D,pt)|0,i=i+Math.imul(D,mt)|0,i=i+Math.imul(I,pt)|0,a=a+Math.imul(I,mt)|0;var Dt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Dt>>>26)|0,Dt&=67108863,n=Math.imul(F,ht),i=Math.imul(F,ft),i=i+Math.imul(N,ht)|0,a=Math.imul(N,ft),n=n+Math.imul(O,pt)|0,i=i+Math.imul(O,mt)|0,i=i+Math.imul(j,pt)|0,a=a+Math.imul(j,mt)|0;var It=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(F,pt),i=Math.imul(F,mt),i=i+Math.imul(N,pt)|0,a=Math.imul(N,mt);var Pt=(u+n|0)+((8191&i)<<13)|0;return u=(a+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,l[0]=gt,l[1]=vt,l[2]=yt,l[3]=bt,l[4]=xt,l[5]=_t,l[6]=wt,l[7]=Mt,l[8]=kt,l[9]=At,l[10]=Tt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=zt,l[16]=Dt,l[17]=It,l[18]=Pt,0!==u&&(l[19]=u,r.length++),r};Math.imul||(k=u),a.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?k(this,t,e):r<63?u(this,t,e):r<1024?c(this,t,e):h(this,t,e)},f.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},f.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},f.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},f.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),u=Math.sin(2*Math.PI/s),c=0;c<i;c+=s)for(var h=l,f=u,d=0;d<o;d++){var p=r[c+d],m=n[c+d],g=r[c+d+o],v=n[c+d+o],y=h*g-f*v;v=h*v+f*g,g=y,r[c+d]=p+g,n[c+d]=m+v,r[c+d+o]=p-g,n[c+d+o]=m-v,d!==s&&(y=l*h-u*f,f=l*f+u*h,h=y)}},f.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},f.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},f.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},f.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(a&-8192))},f.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},f.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),u=new Array(n),c=new Array(n),h=new Array(n),f=r.words;f.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,u,n),this.transform(o,a,s,l,n,i),this.transform(u,a,c,h,n,i);for(var d=0;d<n;d++){var p=s[d]*c[d]-l[d]*h[d];l[d]=s[d]*h[d]+l[d]*c[d],s[d]=p}return this.conjugate(s,l,n),this.transform(s,l,f,a,n,i),this.conjugate(f,a,n),this.normalize13b(f,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),h(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=l(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){\n",
       "n(\"number\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){n(\"number\"==typeof t&&t>=0);var i;i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var u=0;u<o;u++)l.words[u]=this.words[u];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,u=0;u<this.length;u++)this.words[u]=this.words[u+o];else this.words[0]=0,this.length=1;var c=0;for(u=this.length-1;u>=0&&(0!==c||u>=i);u--){var h=0|this.words[u];this.words[u]=c<<26-a|h>>>a,c=h&s}return l&&0!==c&&(l.words[l.length++]=c),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r)&&!!(this.words[r]&i)},a.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a=t.length+r;this._expand(a);var o,s=0;for(i=0;i<t.length;i++){o=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;o-=67108863&l,s=(o>>26)-(l/67108864|0),this.words[i+r]=67108863&o}for(;i<this.length-r;i++)o=(0|this.words[i+r])+s,s=o>>26,this.words[i+r]=67108863&o;if(0===s)return this.strip();for(n(s===-1),s=0,i=0;i<this.length;i++)o=-(0|this.words[i])+s,s=o>>26,this.words[i]=67108863&o;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=this.length-t.length,n=this.clone(),i=t,o=0|i.words[i.length-1];0!==(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){s=new a(null),s.length=l+1,s.words=new Array(s.length);for(var u=0;u<s.length;u++)s.words[u]=0}var c=n.clone()._ishlnsubmul(i,1,l);0===c.negative&&(n=c,s&&(s.words[l]=1));for(var h=l-1;h>=0;h--){var f=67108864*(0|n.words[i.length+h])+(0|n.words[i.length+h-1]);for(f=Math.min(f/o|0,67108863),n._ishlnsubmul(i,f,h);0!==n.negative;)f--,n.negative=0,n._ishlnsubmul(i,1,h),n.isZero()||(n.negative^=1);s&&(s.words[h]=f)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){if(n(!t.isZero()),this.isZero())return{div:new a(0),mod:new a(0)};var i,o,s;return 0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e)},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),u=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),h=e.clone();!e.isZero();){for(var f=0,d=1;0==(e.words[0]&d)&&f<26;++f,d<<=1);if(f>0)for(e.iushrn(f);f-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(c),o.isub(h)),i.iushrn(1),o.iushrn(1);for(var p=0,m=1;0==(r.words[0]&m)&&p<26;++p,m<<=1);if(p>0)for(r.iushrn(p);p-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),l.isub(h)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(u)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var l=0,u=1;0==(e.words[0]&u)&&l<26;++l,u<<=1);if(l>0)for(e.iushrn(l);l-- >0;)i.isOdd()&&i.iadd(s),i.iushrn(1);for(var c=0,h=1;0==(r.words[0]&h)&&c<26;++c,h<<=1);if(c>0)for(r.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(s),o.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(o)):(r.isub(e),o.isub(i))}var f;return f=0===e.cmpn(1)?i:o,f.cmpn(0)<0&&f.iadd(t),f},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];s+=a,a=s>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e=t<0;if(0!==this.negative&&!e)return-1;if(0===this.negative&&e)return 1;this.strip();var r;if(this.length>1)r=1;else{e&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];r=i===t?0:i<t?-1:1}return 0!==this.negative?0|-r:r},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return this.cmpn(t)===-1},a.prototype.lt=function(t){return this.cmp(t)===-1},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new y(t)},a.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,\"Already a number in reduction context\"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var A={k256:null,p224:null,p192:null,p25519:null};d.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},d.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),r=this.imulK(r),r=r.iadd(this.tmp),e=r.bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):r.strip(),r},d.prototype.split=function(t,e){t.iushrn(this.n,0,e)},d.prototype.imulK=function(t){return t.imul(this.k)},i(p,d),p.prototype.split=function(t,e){for(var r=Math.min(t.length,9),n=0;n<r;n++)e.words[n]=t.words[n];if(e.length=r,t.length<=9)return t.words[0]=0,void(t.length=1);var i=t.words[9];for(e.words[e.length++]=4194303&i,n=10;n<t.length;n++){var a=0|t.words[n];t.words[n-10]=(4194303&a)<<4|i>>>22,i=a}i>>>=22,t.words[n-10]=i,0===i&&t.length>10?t.length-=10:t.length-=9},p.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(m,d),i(g,d),i(v,d),v.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(A[t])return A[t];var e;if(\"k256\"===t)e=new p;else if(\"p224\"===t)e=new m;else if(\"p192\"===t)e=new g;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new v}return A[t]=e,e},y.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},y.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},y.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},y.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},y.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},y.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},y.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},y.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},y.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},y.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},y.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},y.prototype.isqr=function(t){return this.imul(t,t.clone())},y.prototype.sqr=function(t){return this.mul(t,t)},y.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),u=this.m.subn(1).iushrn(1),c=this.m.bitLength();for(c=new 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E=0;E<3;++E)j[E]+=M*O[E]*this.tickPad[E]/r[5*E];this._text.drawTicks(k,this.tickSize[k],this.tickAngle[k],j,this.tickColor[k])}if(this.labelEnable[k]){for(var E=0;E<3;++E)j[E]+=M*O[E]*this.labelPad[E]/r[5*E];j[k]+=.5*(s[0][k]+s[1][k]),this._text.drawLabel(k,this.labelSize[k],this.labelAngle[k],j,this.labelColor[k])}}},p.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{\"./lib/background.js\":134,\"./lib/cube.js\":135,\"./lib/lines.js\":136,\"./lib/text.js\":138,\"./lib/ticks.js\":139}],134:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}function i(t){for(var e=[],r=[],i=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(l+2)%3,h=[0,0,0],f=[0,0,0],d=-1;d<=1;d+=2){r.push(i,i+2,i+1,i+1,i+2,i+3),h[l]=d,f[l]=d;for(var p=-1;p<=1;p+=2){h[u]=p;for(var m=-1;m<=1;m+=2)h[c]=m,e.push(h[0],h[1],h[2],f[0],f[1],f[2]),i+=1}var g=u;u=c,c=g}var v=a(t,new 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R=O^1<<m;if(R!==_&&R!==P){j<0&&(j=R);var T=f[R];T[0]<f[j][0]&&(j=R)}}for(var F=-1,m=0;m<3;++m){var R=O^1<<m;if(R!==_&&R!==P&&R!==j){F<0&&(F=R);var T=f[R];T[0]>f[F][0]&&(F=R)}}var N=g;N[0]=N[1]=N[2]=0,N[o.log2(j^O)]=O&j,N[o.log2(O^F)]=O&F;var B=7^F;B===_||B===P?(B=7^j,N[o.log2(F^B)]=B&F):N[o.log2(j^B)]=B&j;for(var U=v,V=_,k=0;k<3;++k)U[k]=V&1<<k?-1:1;return y}e.exports=a;var o=t(\"bit-twiddle\"),s=t(\"gl-mat4/multiply\"),l=(t(\"gl-mat4/invert\"),t(\"split-polygon\")),u=t(\"robust-orientation\"),c=new Array(16),h=(new Array(16),new Array(8)),f=new Array(8),d=new Array(3),p=[0,0,0];!function(){for(var t=0;t<8;++t)h[t]=[1,1,1,1],f[t]=[1,1,1]}();var m=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]],g=[1,1,1],v=[0,0,0],y={cubeEdges:g,axis:v}},{\"bit-twiddle\":60,\"gl-mat4/invert\":165,\"gl-mat4/multiply\":167,\"robust-orientation\":489,\"split-polygon\":507}],136:[function(t,e,r){\"use strict\";function n(t){return t[0]=t[1]=t[2]=0,t}function i(t,e){return 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s=t(\"gl-buffer\"),l=t(\"gl-vao\"),u=t(\"./shaders\").line,c=[0,0,0],h=[0,0,0],f=[0,0,0],d=[0,0,0],p=[1,1],m=a.prototype;m.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,p[0]=this.gl.drawingBufferWidth,p[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=p,this.vao.bind()},m.drawAxisLine=function(t,e,r,a,o){var s=n(h);this.shader.uniforms.majorAxis=h,s[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=s;var l=i(d,r);l[t]+=e[0][t],this.shader.uniforms.offset=l,this.shader.uniforms.lineWidth=o,this.shader.uniforms.color=a;var u=n(f);u[(t+2)%3]=1,this.shader.uniforms.screenAxis=u,this.vao.draw(this.gl.TRIANGLES,6);var u=n(f);u[(t+1)%3]=1,this.shader.uniforms.screenAxis=u,this.vao.draw(this.gl.TRIANGLES,6)},m.drawAxisTicks=function(t,e,r,i,a){if(this.tickCount[t]){var o=n(c);o[t]=1,this.shader.uniforms.majorAxis=o,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=i,this.shader.uniforms.lineWidth=a;var s=n(f);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},m.drawGrid=function(t,e,r,a,o,s){if(this.gridCount[t]){var l=n(h);l[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=l;var u=i(d,a);u[e]+=r[0][e],this.shader.uniforms.offset=u;var p=n(c);p[t]=1,this.shader.uniforms.majorAxis=p;var m=n(f);m[t]=1,this.shader.uniforms.screenAxis=m,this.shader.uniforms.lineWidth=s,this.shader.uniforms.color=o,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},m.drawZero=function(t,e,r,a,o,s){var l=n(h);this.shader.uniforms.majorAxis=l,l[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=l;var u=i(d,a);u[t]+=r[0][t],this.shader.uniforms.offset=u;var c=n(f);c[e]=1,this.shader.uniforms.screenAxis=c,this.shader.uniforms.lineWidth=s,this.shader.uniforms.color=o,this.vao.draw(this.gl.TRIANGLES,6)},m.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{\"./shaders\":137,\"gl-buffer\":141,\"gl-vao\":255}],137:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\");r.line=function(t){return n(t,\"#define GLSLIFY 1\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\",\"precision mediump float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\",null,[{name:\"position\",type:\"vec3\"}])};r.text=function(t){return n(t,\"#define GLSLIFY 1\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvoid main() {  \\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n  mat2 planeXform = scale * mat2(cos(angle), sin(angle),\\n                                -sin(angle), cos(angle));\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n  vec4 worldPosition = model * vec4(dataPosition, 1);\\n  \\n  //Compute clip position\\n  vec4 viewPosition = view * worldPosition;\\n  vec4 clipPosition = projection * viewPosition;\\n  clipPosition /= clipPosition.w;\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec4(viewOffset, 0, 0);\\n\\n  //Done\\n  gl_Position = clipPosition;\\n}\",\"precision mediump float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\",null,[{name:\"position\",type:\"vec3\"}])};r.bg=function(t){return n(t,\"#define GLSLIFY 1\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  if(dot(normal, enable) > 0.0) {\\n    vec3 nPosition = mix(bounds[0], bounds[1], 0.5 * (position + 1.0));\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n  colorChannel = abs(normal);\\n}\",\"precision mediump float;\\n#define 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       "var a=h[r];a||(a=h[r]={});var o=a[e];o||(o=a[e]=i(e,{triangles:!0,font:r,textAlign:\"center\",textBaseline:\"middle\"}));for(var l=(n||12)/12,u=o.positions,c=o.cells,f=0,d=c.length;f<d;++f)for(var p=c[f],m=2;m>=0;--m){var g=u[p[m]];s.push(l*g[0],-l*g[1],t)}}for(var s=(this.gl,[]),l=[0,0,0],u=[0,0,0],c=[0,0,0],f=[0,0,0],d=0;d<3;++d){c[d]=s.length/3|0,o(.5*(t[0][d]+t[1][d]),e[d],r),f[d]=(s.length/3|0)-c[d],l[d]=s.length/3|0;for(var p=0;p<n[d].length;++p)n[d][p].text&&o(n[d][p].x,n[d][p].text,n[d][p].font||a,n[d][p].fontSize||12);u[d]=(s.length/3|0)-l[d]}this.buffer.update(s),this.tickOffset=l,this.tickCount=u,this.labelOffset=c,this.labelCount=f};var p=[0,0,0];f.drawTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=p;a[0]=a[1]=a[2]=0,a[t]=1,this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}};var m=[0,0,0];f.drawLabel=function(t,e,r,n,i){this.labelCount[t]&&(this.shader.uniforms.axis=m,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},f.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this,t(\"_process\"))},{\"./shaders\":137,_process:468,\"gl-buffer\":141,\"gl-vao\":255,\"vectorize-text\":534}],139:[function(t,e,r){\"use strict\";function n(t,e){var r=t+\"\",n=r.indexOf(\".\"),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/a,u=o%a;o<0?(l=0|-Math.ceil(l),u=0|-u):(l=0|Math.floor(l),u|=0);var c=\"\"+l;if(o<0&&(c=\"-\"+c),i){for(var h=\"\"+u;h.length<i;)h=\"0\"+h;return c+\".\"+h}return c}function i(t,e){for(var r=[],i=0;i<3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]<=t[1][i];++o)a.push({x:o*e[i],text:n(e[i],o)});for(var o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:n(e[i],o)});r.push(a)}return r}function a(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}r.create=i,r.equal=a},{}],140:[function(t,e,r){\"use strict\";function n(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}function i(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=p,s=m,l=0;l<3;++l)s[l]=o[l]=r[l];s[3]=o[3]=1,s[a]+=1,h(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,h(o,o,e),o[3]<0&&(t[a]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,c=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(u*u+c*c)}return t}function a(t,e,r,n,a){var h=e.model||f,p=e.view||f,m=e.projection||f,y=t.bounds,a=a||l(h,p,m,y),b=a.axis;a.edges;u(d,p,h),u(d,m,d);for(var x=g,_=0;_<3;++_)x[_].lo=1/0,x[_].hi=-1/0,x[_].pixelsPerDataUnit=1/0;var w=o(c(d,d));c(d,d);for(var M=0;M<3;++M){var k=(M+1)%3,A=(M+2)%3,T=v;t:for(var _=0;_<2;++_){var S=[];if(b[M]<0!=!!_){T[M]=y[_][M];for(var E=0;E<2;++E){T[k]=y[E^_][k];for(var L=0;L<2;++L)T[A]=y[L^E^_][A],S.push(T.slice())}for(var E=0;E<w.length;++E){if(0===S.length)continue t;S=s.positive(S,w[E])}for(var E=0;E<S.length;++E)for(var A=S[E],C=i(v,d,A,r,n),L=0;L<3;++L)x[L].lo=Math.min(x[L].lo,A[L]),x[L].hi=Math.max(x[L].hi,A[L]),L!==M&&(x[L].pixelsPerDataUnit=Math.min(x[L].pixelsPerDataUnit,Math.abs(C[L])))}}}return x}e.exports=a;var o=t(\"extract-frustum-planes\"),s=t(\"split-polygon\"),l=t(\"./lib/cube.js\"),u=t(\"gl-mat4/multiply\"),c=t(\"gl-mat4/transpose\"),h=t(\"gl-vec4/transformMat4\"),f=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),d=new Float32Array(16),p=[0,0,0,1],m=[0,0,0,1],g=[new n(1/0,-1/0,1/0),new n(1/0,-1/0,1/0),new n(1/0,-1/0,1/0)],v=[0,0,0]},{\"./lib/cube.js\":135,\"extract-frustum-planes\":115,\"gl-mat4/multiply\":167,\"gl-mat4/transpose\":175,\"gl-vec4/transformMat4\":261,\"split-polygon\":507}],141:[function(t,e,r){\"use strict\";function n(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}function i(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function a(t,e){for(var r=l.malloc(t.length,e),n=t.length,i=0;i<n;++i)r[i]=t[i];return r}function o(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}function s(t,e,r,i){if(r=r||t.ARRAY_BUFFER,i=i||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(i!==t.DYNAMIC_DRAW&&i!==t.STATIC_DRAW&&i!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var a=t.createBuffer(),o=new n(t,r,a,0,i);return o.update(e),o}var l=t(\"typedarray-pool\"),u=t(\"ndarray-ops\"),c=t(\"ndarray\"),h=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"],f=n.prototype;f.bind=function(){this.gl.bindBuffer(this.type,this.handle)},f.unbind=function(){this.gl.bindBuffer(this.type,null)},f.dispose=function(){this.gl.deleteBuffer(this.handle)},f.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&void 0!==t.shape){var r=t.dtype;if(h.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER){r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\"}if(r===t.dtype&&o(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=i(this.gl,this.type,this.length,this.usage,t.data,e):this.length=i(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var n=l.malloc(t.size,r),s=c(n,t.shape);u.assign(s,t),this.length=e<0?i(this.gl,this.type,this.length,this.usage,n,e):i(this.gl,this.type,this.length,this.usage,n.subarray(0,t.size),e),l.free(n)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?a(t,\"uint16\"):a(t,\"float32\"),this.length=e<0?i(this.gl,this.type,this.length,this.usage,f,e):i(this.gl,this.type,this.length,this.usage,f.subarray(0,t.length),e),l.free(f)}else if(\"object\"==typeof t&&\"number\"==typeof 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n=t(\"./1.0/numbers\");e.exports=function(t){return n[t]}},{\"./1.0/numbers\":142}],144:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.plot=t,this.shader=e,this.bufferHi=r,this.bufferLo=n,this.bounds=[1/0,1/0,-1/0,-1/0],this.numPoints=0,this.color=[0,0,0,1]}function i(t,e){var r=a(t.gl,l.vertex,l.fragment),i=o(t.gl),s=o(t.gl),u=new n(t,r,i,s);return u.update(e),t.addObject(u),u}var a=t(\"gl-shader\"),o=t(\"gl-buffer\"),s=t(\"typedarray-pool\"),l=t(\"./lib/shaders\");e.exports=i;var u=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]],c=n.prototype;c.draw=function(){var t=new Float32Array([0,0]),e=new Float32Array([0,0]),r=new Float32Array([0,0]),n=new Float32Array([0,0]),i=[1,1];return function(){var a=this.plot,o=this.shader,s=this.bounds,l=this.numPoints;if(l){var c=a.gl,h=a.dataBox,f=a.viewBox,d=a.pixelRatio,p=s[2]-s[0],m=s[3]-s[1],g=h[2]-h[0],v=h[3]-h[1],y=2*p/g,b=2*m/v,x=(s[0]-h[0]-.5*g)/p,_=(s[1]-h[1]-.5*v)/m;t[0]=y,t[1]=b,e[0]=y-t[0],e[1]=b-t[1],r[0]=x,r[1]=_,n[0]=x-r[0],n[1]=_-r[1];var w=f[2]-f[0],M=f[3]-f[1];i[0]=2*d/w,i[1]=2*d/M,o.bind(),o.uniforms.scaleHi=t,o.uniforms.scaleLo=e,o.uniforms.translateHi=r,o.uniforms.translateLo=n,o.uniforms.pixelScale=i,o.uniforms.color=this.color,this.bufferLo.bind(),o.attributes.positionLo.pointer(c.FLOAT,!1,16,0),this.bufferHi.bind(),o.attributes.positionHi.pointer(c.FLOAT,!1,16,0),o.attributes.pixelOffset.pointer(c.FLOAT,!1,16,8),c.drawArrays(c.TRIANGLES,0,l*u.length)}}}(),c.drawPick=function(t){return t},c.pick=function(){return null},c.update=function(t){t=t||{};var e,r,n,i=t.positions||[],a=t.errors||[],o=1;\"lineWidth\"in t&&(o=+t.lineWidth);var l=5;\"capSize\"in t&&(l=+t.capSize),this.color=(t.color||[0,0,0,1]).slice();var c=this.bounds=[1/0,1/0,-1/0,-1/0],h=this.numPoints=i.length>>1;for(e=0;e<h;++e)r=i[2*e],n=i[2*e+1],c[0]=Math.min(r,c[0]),c[1]=Math.min(n,c[1]),c[2]=Math.max(r,c[2]),c[3]=Math.max(n,c[3]);c[2]===c[0]&&(c[2]+=1),c[3]===c[1]&&(c[3]+=1);var f=1/(c[2]-c[0]),d=1/(c[3]-c[1]),p=c[0],m=c[1],g=s.mallocFloat64(h*u.length*4),v=s.mallocFloat32(h*u.length*4),y=s.mallocFloat32(h*u.length*4),b=0;for(e=0;e<h;++e){r=i[2*e],n=i[2*e+1];for(var x=a[4*e],_=a[4*e+1],w=a[4*e+2],M=a[4*e+3],k=0;k<u.length;++k){var A=u[k],T=A[0],S=A[1];T<0?T*=x:T>0&&(T*=_),S<0?S*=w:S>0&&(S*=M),g[b++]=f*(r-p+T),g[b++]=d*(n-m+S),g[b++]=o*A[2]+(l+o)*A[4],g[b++]=o*A[3]+(l+o)*A[5]}}for(e=0;e<g.length;e++)v[e]=g[e],y[e]=g[e]-v[e];this.bufferHi.update(v),this.bufferLo.update(y),s.free(g)},c.dispose=function(){this.plot.removeObject(this),this.shader.dispose(),this.bufferHi.dispose(),this.bufferLo.dispose()}},{\"./lib/shaders\":145,\"gl-buffer\":141,\"gl-shader\":239,\"typedarray-pool\":521}],145:[function(t,e,r){e.exports={vertex:\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 positionHi;\\nattribute vec2 positionLo;\\nattribute vec2 pixelOffset;\\n\\nuniform vec2 scaleHi, scaleLo, translateHi, translateLo, pixelScale;\\n\\nvec2 project(vec2 scHi, vec2 trHi, vec2 scLo, vec2 trLo, vec2 posHi, vec2 posLo) {\\n  return (posHi + trHi) * scHi\\n       + (posLo + trLo) * scHi\\n       + (posHi + trHi) * scLo\\n       + (posLo + trLo) * scLo;\\n}\\n\\nvoid main() {\\n  vec3 scrPosition = vec3(\\n         project(scaleHi, translateHi, scaleLo, translateLo, positionHi, positionLo),\\n         1);\\n  gl_Position = vec4(\\n    scrPosition.xy + scrPosition.z * pixelScale * pixelOffset,\\n    0,\\n    scrPosition.z);\\n}\\n\",fragment:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = vec4(color.rgb * color.a, color.a);\\n}\\n\"}},{}],146:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1}function i(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}function a(t,e,r,n){for(var i=f[n],a=0;a<i.length;++a){var o=i[a];t.push(e[0],e[1],e[2],r[0],r[1],r[2],r[3],o[0],o[1],o[2])}return i.length}function o(t){var e=t.gl,r=s(e),i=l(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),a=u(e);a.attributes.position.location=0,a.attributes.color.location=1,a.attributes.offset.location=2;var o=new n(e,r,i,a);return o.update(t),o}e.exports=o;var s=t(\"gl-buffer\"),l=t(\"gl-vao\"),u=t(\"./shaders/index\"),c=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],h=n.prototype;h.isOpaque=function(){return this.opacity>=1},h.isTransparent=function(){return this.opacity<1},h.drawTransparent=h.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||c,i=r.projection=t.projection||c;r.model=t.model||c,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],o=n[13],s=n[14],l=n[15],u=this.pixelRatio*(i[3]*a+i[7]*o+i[11]*s+i[15]*l)/e.drawingBufferHeight;this.vao.bind();for(var h=0;h<3;++h)e.lineWidth(this.lineWidth[h]),r.capSize=this.capSize[h]*u,e.drawArrays(e.LINES,this.lineOffset[h],this.lineCount[h]);this.vao.unbind()};var f=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=(n+e)%3,o=[0,0,0];o[a]=i,r.push(o)}t[e]=r}return t}();h.update=function(t){t=t||{},\"lineWidth\"in t&&(this.lineWidth=t.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),\"capSize\"in t&&(this.capSize=t.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),\"opacity\"in t&&(this.opacity=t.opacity);var e=t.color||[[0,0,0],[0,0,0],[0,0,0]],r=t.position,n=t.error;if(Array.isArray(e[0])||(e=[e,e,e]),r&&n){var o=[],s=r.length,l=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var u=0;u<3;++u){this.lineOffset[u]=l;t:for(var c=0;c<s;++c){for(var h=r[c],f=0;f<3;++f)if(isNaN(h[f])||!isFinite(h[f]))continue t;var d=n[c],p=e[u];if(Array.isArray(p[0])&&(p=e[c]),3===p.length&&(p=[p[0],p[1],p[2],1]),!isNaN(d[0][u])&&!isNaN(d[1][u])){if(d[0][u]<0){var m=h.slice();m[u]+=d[0][u],o.push(h[0],h[1],h[2],p[0],p[1],p[2],p[3],0,0,0,m[0],m[1],m[2],p[0],p[1],p[2],p[3],0,0,0),i(this.bounds,m),l+=2+a(o,m,p,u)}if(d[1][u]>0){var m=h.slice();m[u]+=d[1][u],o.push(h[0],h[1],h[2],p[0],p[1],p[2],p[3],0,0,0,m[0],m[1],m[2],p[0],p[1],p[2],p[3],0,0,0),i(this.bounds,m),l+=2+a(o,m,p,u)}}}this.lineCount[u]=l-this.lineOffset[u]}this.buffer.update(o)}},h.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},{\"./shaders/index\":147,\"gl-buffer\":141,\"gl-vao\":255}],147:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\");e.exports=function(t){return n(t,\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, offset;\\nattribute vec4 color;\\nuniform mat4 model, view, projection;\\nuniform float capSize;\\nvarying vec4 fragColor;\\nvarying vec3 fragPosition;\\n\\nvoid main() {\\n  vec4 worldPosition  = model * vec4(position, 1.0);\\n  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\\n  gl_Position         = projection * view * worldPosition;\\n  fragColor           = color;\\n  fragPosition        = position;\\n}\",\"precision mediump float;\\n#define GLSLIFY 1\\nuniform vec3 clipBounds[2];\\nuniform float opacity;\\nvarying vec3 fragPosition;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if(any(lessThan(fragPosition, clipBounds[0])) || any(greaterThan(fragPosition, clipBounds[1]))) {\\n    discard;\\n  }\\n  gl_FragColor = opacity * fragColor;\\n}\",null,[{name:\"position\",type:\"vec3\"},{name:\"offset\",type:\"vec3\"},{name:\"color\",type:\"vec4\"}])}},{\"gl-shader\":239}],148:[function(t,e,r){\"use strict\";function n(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function i(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function a(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);y=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(var a=n;a<r;++a)i[a]=t.NONE;y[n]=i}}function o(t){switch(t){case p:throw new Error(\"gl-fbo: Framebuffer unsupported\");case m:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case g:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case v:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function s(t,e,r,n,i,a){if(!n)return null;var o=d(t,e,r,i,n);return o.magFilter=t.NEAREST,o.minFilter=t.NEAREST,o.mipSamples=1,o.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,a,t.TEXTURE_2D,o.handle,0),o}function l(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function u(t){var e=n(t.gl),r=t.gl,a=t.handle=r.createFramebuffer(),u=t._shape[0],c=t._shape[1],h=t.color.length,f=t._ext,d=t._useStencil,p=t._useDepth,m=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,a);for(var g=0;g<h;++g)t.color[g]=s(r,u,c,m,r.RGBA,r.COLOR_ATTACHMENT0+g);0===h?(t._color_rb=l(r,u,c,r.RGBA4,r.COLOR_ATTACHMENT0),f&&f.drawBuffersWEBGL(y[0])):h>1&&f.drawBuffersWEBGL(y[h]);var v=r.getExtension(\"WEBGL_depth_texture\");v?d?t.depth=s(r,u,c,v.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):p&&(t.depth=s(r,u,c,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):p&&d?t._depth_rb=l(r,u,c,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):p?t._depth_rb=l(r,u,c,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=l(r,u,c,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var b=r.checkFramebufferStatus(r.FRAMEBUFFER);if(b!==r.FRAMEBUFFER_COMPLETE){t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null);for(var g=0;g<t.color.length;++g)t.color[g].dispose(),t.color[g]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),i(r,e),o(b)}i(r,e)}function c(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var l=0;l<i;++l)this.color[l]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var c=this,h=[0|e,0|r];Object.defineProperties(h,{0:{get:function(){return c._shape[0]},set:function(t){return c.width=t}},1:{get:function(){return c._shape[1]},set:function(t){return c.height=t}}}),this._shapeVector=h,u(this)}function h(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var a=t.gl,s=a.getParameter(a.MAX_RENDERBUFFER_SIZE);if(e<0||e>s||r<0||r>s)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var l=n(a),u=0;u<t.color.length;++u)t.color[u].shape=t._shape;t._color_rb&&(a.bindRenderbuffer(a.RENDERBUFFER,t._color_rb),a.renderbufferStorage(a.RENDERBUFFER,a.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(a.bindRenderbuffer(a.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?a.renderbufferStorage(a.RENDERBUFFER,a.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?a.renderbufferStorage(a.RENDERBUFFER,a.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&a.renderbufferStorage(a.RENDERBUFFER,a.STENCIL_INDEX,t._shape[0],t._shape[1])),a.bindFramebuffer(a.FRAMEBUFFER,t.handle);var c=a.checkFramebufferStatus(a.FRAMEBUFFER);c!==a.FRAMEBUFFER_COMPLETE&&(t.dispose(),i(a,l),o(c)),i(a,l)}}function f(t,e,r,n){p||(p=t.FRAMEBUFFER_UNSUPPORTED,m=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,g=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,v=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var i=t.getExtension(\"WEBGL_draw_buffers\");if(!y&&i&&a(t,i),Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]),\"number\"!=typeof e)throw new Error(\"gl-fbo: Missing shape parameter\");var o=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>o||r<0||r>o)throw new Error(\"gl-fbo: Parameters are too large for FBO\");n=n||{};var s=1;if(\"color\"in n){if((s=Math.max(0|n.color,0))<0)throw new Error(\"gl-fbo: Must specify a nonnegative number of colors\");if(s>1){if(!i)throw new Error(\"gl-fbo: Multiple draw buffer extension not supported\");if(s>t.getParameter(i.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error(\"gl-fbo: Context does not support \"+s+\" draw buffers\")}}var l=t.UNSIGNED_BYTE,u=t.getExtension(\"OES_texture_float\");if(n.float&&s>0){if(!u)throw new Error(\"gl-fbo: Context does not support floating point textures\");l=t.FLOAT}else n.preferFloat&&s>0&&u&&(l=t.FLOAT);var h=!0;\"depth\"in n&&(h=!!n.depth);var f=!1;return\"stencil\"in n&&(f=!!n.stencil),new c(t,e,r,l,s,h,f,i)}var d=t(\"gl-texture2d\");e.exports=f;var p,m,g,v,y=null,b=c.prototype;Object.defineProperties(b,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return h(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return t|=0,h(this,t,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,h(this,this._shape[0],t),t},enumerable:!1}}),b.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},b.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{\"gl-texture2d\":251}],149:[function(t,e,r){function n(t,e,r){\"use strict\";var n=o(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===a.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var u=i(\"Error compiling %s shader %s:\\n\",l,n),c=i(\"%s%s\",u,t),h=t.split(\"\\n\"),f={},d=0;d<h.length;d++){var p=h[d];if(\"\"!==p){var m=parseInt(p.split(\":\")[2]);if(isNaN(m))throw new Error(i(\"Could not parse error: %s\",p));f[m]=p}}for(var g=s(e).split(\"\\n\"),d=0;d<g.length;d++)if(f[d+3]||f[d+2]||f[d+1]){var v=g[d];if(u+=v+\"\\n\",f[d+1]){var y=f[d+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),u+=i(\"^^^ %s\\n\\n\",y)}}return{long:u.trim(),short:c.trim()}}var i=t(\"sprintf-js\").sprintf,a=t(\"gl-constants/lookup\"),o=t(\"glsl-shader-name\"),s=t(\"add-line-numbers\");e.exports=n},{\"add-line-numbers\":35,\"gl-constants/lookup\":143,\"glsl-shader-name\":263,\"sprintf-js\":508}],150:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}function i(t,e){var r=t.gl,i=l(r,c.vertex,c.fragment),a=l(r,c.pickVertex,c.pickFragment),o=u(r),s=u(r),h=u(r),f=u(r),d=new n(t,i,a,o,s,h,f);return d.update(e),t.addObject(d),d}e.exports=i;var a=t(\"binary-search-bounds\"),o=t(\"iota-array\"),s=t(\"typedarray-pool\"),l=t(\"gl-shader\"),u=t(\"gl-buffer\"),c=t(\"./lib/shaders\"),h=n.prototype,f=[0,0,1,0,0,1,1,0,1,1,0,1];h.draw=function(){var t=[1,0,0,0,1,0,0,0,1];return function(){var e=this.plot,r=this.shader,n=this.bounds,i=this.numVertices;if(!(i<=0)){var a=e.gl,o=e.dataBox,s=n[2]-n[0],l=n[3]-n[1],u=o[2]-o[0],c=o[3]-o[1];t[0]=2*s/u,t[4]=2*l/c,t[6]=2*(n[0]-o[0])/u-1,t[7]=2*(n[1]-o[1])/c-1,r.bind();var h=r.uniforms;h.viewTransform=t,h.shape=this.shape;var f=r.attributes;this.positionBuffer.bind(),f.position.pointer(),this.weightBuffer.bind(),f.weight.pointer(a.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),f.color.pointer(a.UNSIGNED_BYTE,!0),a.drawArrays(a.TRIANGLES,0,i)}}}(),h.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,u=a[2]-a[0],c=a[3]-a[1],h=l[2]-l[0],f=l[3]-l[1];t[0]=2*u/h,t[4]=2*c/f,t[6]=2*(a[0]-l[0])/h-1,t[7]=2*(a[1]-l[1])/f-1;for(var d=0;d<4;++d)e[d]=r>>8*d&255;this.pickOffset=r,i.bind();var p=i.uniforms;p.viewTransform=t,p.pickOffset=e,p.shape=this.shape;var m=i.attributes;return this.positionBuffer.bind(),m.position.pointer(),this.weightBuffer.bind(),m.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),m.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),h.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},h.update=function(t){t=t||{};var e=t.shape||[0,0],r=t.x||o(e[0]),n=t.y||o(e[1]),i=t.z||new Float32Array(e[0]*e[1]);this.xData=r,this.yData=n;var l=t.colorLevels||[0],u=t.colorValues||[0,0,0,1],c=l.length,h=this.bounds,d=h[0]=r[0],p=h[1]=n[0],m=h[2]=r[r.length-1],g=h[3]=n[n.length-1],v=1/(m-d),y=1/(g-p),b=e[0],x=e[1];this.shape=[b,x];var _=(b-1)*(x-1)*(f.length>>>1);this.numVertices=_;for(var w=s.mallocUint8(4*_),M=s.mallocFloat32(2*_),k=s.mallocUint8(2*_),A=s.mallocUint32(_),T=0,S=0;S<x-1;++S)for(var E=y*(n[S]-p),L=y*(n[S+1]-p),C=0;C<b-1;++C)for(var z=v*(r[C]-d),D=v*(r[C+1]-d),I=0;I<f.length;I+=2){var P,O,j,R,F=f[I],N=f[I+1],B=(S+N)*b+(C+F),U=i[B],V=a.le(l,U);if(V<0)P=u[0],O=u[1],j=u[2],R=u[3];else if(V===c-1)P=u[4*c-4],O=u[4*c-3],j=u[4*c-2],R=u[4*c-1];else{var H=(U-l[V])/(l[V+1]-l[V]),q=1-H,G=4*V,Y=4*(V+1);P=q*u[G]+H*u[Y],O=q*u[G+1]+H*u[Y+1],j=q*u[G+2]+H*u[Y+2],R=q*u[G+3]+H*u[Y+3]}w[4*T]=255*P,w[4*T+1]=255*O,w[4*T+2]=255*j,w[4*T+3]=255*R,\n",
       "M[2*T]=.5*z+.5*D,M[2*T+1]=.5*E+.5*L,k[2*T]=F,k[2*T+1]=N,A[T]=S*b+C,T+=1}this.positionBuffer.update(M),this.weightBuffer.update(k),this.colorBuffer.update(w),this.idBuffer.update(A),s.free(M),s.free(w),s.free(k),s.free(A)},h.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":151,\"binary-search-bounds\":152,\"gl-buffer\":141,\"gl-shader\":239,\"iota-array\":276,\"typedarray-pool\":521}],151:[function(t,e,r){\"use strict\";e.exports={fragment:\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\",vertex:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\",pickFragment:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\",pickVertex:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"}},{}],152:[function(t,e,r){arguments[4][77][0].apply(r,arguments)},{dup:77}],153:[function(t,e,r){r.lineVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aHi, aLo, dHi, dLo;\\n\\nuniform vec2 scaleHi, translateHi, scaleLo, translateLo, screenShape;\\nuniform float width;\\n\\nvarying vec2 direction;\\n\\n\\nvec2 project_1_0(vec2 scHi, vec2 trHi, vec2 scLo, vec2 trLo, vec2 posHi, vec2 posLo) {\\n  return (posHi + trHi) * scHi\\n       + (posLo + trLo) * scHi\\n       + (posHi + trHi) * scLo\\n       + (posLo + trLo) * scLo;\\n}\\n\\n\\nvec2 project_2_1(vec2 scHi, vec2 scLo, vec2 posHi, vec2 posLo) {\\n  return scHi * posHi\\n       + scLo * posHi\\n       + scHi * posLo\\n       + scLo * posLo;\\n}\\n\\nvoid main() {\\n  vec2 p = project_1_0(scaleHi, translateHi, scaleLo, translateLo, aHi, aLo);\\n  vec2 dir = project_2_1(scaleHi, scaleLo, dHi, dLo);\\n  vec2 n = 0.5 * width * normalize(screenShape.yx * vec2(dir.y, -dir.x)) / screenShape.xy;\\n  vec2 tangent = normalize(screenShape.xy * dir);\\n  if(dir.x < 0.0 || (dir.x == 0.0 && dir.y < 0.0)) {\\n    direction = -tangent;\\n  } else {\\n    direction = tangent;\\n  }\\n  gl_Position = vec4(p + n, 0.0, 1.0);\\n}\",r.lineFragment=\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nuniform vec2 screenShape;\\nuniform sampler2D dashPattern;\\nuniform float dashLength;\\n\\nvarying vec2 direction;\\n\\nvoid main() {\\n  float t = fract(dot(direction, gl_FragCoord.xy) / dashLength);\\n  vec4 pcolor = color * texture2D(dashPattern, vec2(t, 0.0)).r;\\n  gl_FragColor = vec4(pcolor.rgb * pcolor.a, pcolor.a);\\n}\",r.mitreVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aHi, aLo;\\n\\nuniform vec2 scaleHi, translateHi, scaleLo, translateLo;\\nuniform float radius;\\n\\n\\nvec2 project_1_0(vec2 scHi, vec2 trHi, vec2 scLo, vec2 trLo, vec2 posHi, vec2 posLo) {\\n  return (posHi + trHi) * scHi\\n       + (posLo + trLo) * scHi\\n       + (posHi + trHi) * scLo\\n       + (posLo + trLo) * scLo;\\n}\\n\\n\\nvoid main() {\\n  vec2 p = project_1_0(scaleHi, translateHi, scaleLo, translateLo, aHi, aLo);\\n  gl_Position = vec4(p, 0.0, 1.0);\\n  gl_PointSize = radius;\\n}\",r.mitreFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  if(length(gl_PointCoord.xy - 0.5) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = vec4(color.rgb, color.a);\\n}\",r.pickVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aHi, aLo, dHi;\\nattribute vec4 pick0, pick1;\\n\\nuniform vec2 scaleHi, translateHi, scaleLo, translateLo, screenShape;\\nuniform float width;\\n\\nvarying vec4 pickA, pickB;\\n\\n\\nvec2 project_1_0(vec2 scHi, vec2 trHi, vec2 scLo, vec2 trLo, vec2 posHi, vec2 posLo) {\\n  return (posHi + trHi) * scHi\\n       + (posLo + trLo) * scHi\\n       + (posHi + trHi) * scLo\\n       + (posLo + trLo) * scLo;\\n}\\n\\n\\nvoid main() {\\n  vec2 p = project_1_0(scaleHi, translateHi, scaleLo, translateLo, aHi, aLo);\\n  vec2 n = width * normalize(screenShape.yx * vec2(dHi.y, -dHi.x)) / screenShape.xy;\\n  gl_Position = vec4(p + n, 0, 1);\\n  pickA = pick0;\\n  pickB = pick1;\\n}\",r.pickFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 pickOffset;\\n\\nvarying vec4 pickA, pickB;\\n\\nvoid main() {\\n  vec4 fragId = vec4(pickA.xyz, 0.0);\\n  if(pickB.w > pickA.w) {\\n    fragId.xyz = pickB.xyz;\\n  }\\n\\n  fragId += pickOffset;\\n\\n  fragId.y += floor(fragId.x / 256.0);\\n  fragId.x -= floor(fragId.x / 256.0) * 256.0;\\n\\n  fragId.z += floor(fragId.y / 256.0);\\n  fragId.y -= floor(fragId.y / 256.0) * 256.0;\\n\\n  fragId.w += floor(fragId.z / 256.0);\\n  fragId.z -= floor(fragId.z / 256.0) * 256.0;\\n\\n  gl_FragColor = fragId / 255.0;\\n}\",r.fillVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aHi, aLo, dHi;\\n\\nuniform vec2 scaleHi, translateHi, scaleLo, translateLo, projectAxis;\\nuniform float projectValue, depth;\\n\\n\\nvec2 project_1_0(vec2 scHi, vec2 trHi, vec2 scLo, vec2 trLo, vec2 posHi, vec2 posLo) {\\n  return (posHi + trHi) * scHi\\n       + (posLo + trLo) * scHi\\n       + (posHi + trHi) * scLo\\n       + (posLo + trLo) * scLo;\\n}\\n\\n\\nvoid main() {\\n  vec2 p = project_1_0(scaleHi, translateHi, scaleLo, translateLo, aHi, aLo);\\n  if(dHi.y < 0.0 || (dHi.y == 0.0 && dHi.x < 0.0)) {\\n    if(dot(p, projectAxis) < projectValue) {\\n      p = p * (1.0 - abs(projectAxis)) + projectAxis * projectValue;\\n    }\\n  }\\n  gl_Position = vec4(p, depth, 1);\\n}\",r.fillFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = vec4(color.rgb * color.a, color.a);\\n}\"},{}],154:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s,l){this.plot=t,this.dashPattern=e,this.lineBufferHi=r,this.lineBufferLo=n,this.pickBuffer=i,this.lineShader=a,this.mitreShader=o,this.fillShader=s,this.pickShader=l,this.usingDashes=!1,this.bounds=[1/0,1/0,-1/0,-1/0],this.width=1,this.color=[0,0,1,1],this.fill=[!1,!1,!1,!1],this.fillColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.data=null,this.numPoints=0,this.vertCount=0,this.pickOffset=0}function i(t){return t.map(function(t){return t.slice()})}function a(t,e){var r=t.gl,i=s(r),a=s(r),u=s(r),c=l(r,[1,1]),f=o(r,h.lineVertex,h.lineFragment),d=o(r,h.mitreVertex,h.mitreFragment),p=o(r,h.fillVertex,h.fillFragment),m=o(r,h.pickVertex,h.pickFragment),g=new n(t,c,i,a,u,f,d,p,m);return t.addObject(g),g.update(e),g}e.exports=a;var o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"gl-texture2d\"),u=t(\"ndarray\"),c=t(\"typedarray-pool\"),h=t(\"./lib/shaders\"),f=n.prototype;f.setProjectionModel=function(){var t={scaleHi:new Float32Array([0,0]),scaleLo:new Float32Array([0,0]),translateHi:new Float32Array([0,0]),translateLo:new Float32Array([0,0]),screenShape:[0,0]};return function(){var e=this.bounds,r=this.plot.viewBox,n=this.plot.dataBox,i=e[2]-e[0],a=e[3]-e[1],o=n[2]-n[0],s=n[3]-n[1],l=r[2]-r[0],u=r[3]-r[1],c=2*i/o,h=2*a/s,f=(e[0]-n[0]-.5*o)/i,d=(e[1]-n[1]-.5*s)/a;return t.scaleHi[0]=c,t.scaleHi[1]=h,t.scaleLo[0]=c-t.scaleHi[0],t.scaleLo[1]=h-t.scaleHi[1],t.translateHi[0]=f,t.translateHi[1]=d,t.translateLo[0]=f-t.translateHi[0],t.translateLo[1]=d-t.translateHi[1],t.screenShape[0]=l,t.screenShape[1]=u,t}}(),f.setProjectionUniforms=function(t,e){t.scaleHi=e.scaleHi,t.scaleLo=e.scaleLo,t.translateHi=e.translateHi,t.translateLo=e.translateLo,t.screenShape=e.screenShape},f.draw=function(){var t=[1,0],e=[-1,0],r=[0,1],n=[0,-1];return function(){var i=this.vertCount;if(i){var a=this.setProjectionModel(),o=this.plot,s=this.width,l=o.gl,u=o.pixelRatio,c=this.color,h=this.fillShader.attributes;this.lineBufferLo.bind(),h.aLo.pointer(l.FLOAT,!1,16,0),this.lineBufferHi.bind();var f=this.fill;if(f[0]||f[1]||f[2]||f[3]){var d=this.fillShader;d.bind();var p=d.uniforms;this.setProjectionUniforms(p,a),p.depth=o.nextDepthValue(),h.aHi.pointer(l.FLOAT,!1,16,0),h.dHi.pointer(l.FLOAT,!1,16,8),l.depthMask(!0),l.enable(l.DEPTH_TEST);var m=this.fillColor;f[0]&&(p.color=m[0],p.projectAxis=e,p.projectValue=1,l.drawArrays(l.TRIANGLES,0,i)),f[1]&&(p.color=m[1],p.projectAxis=n,p.projectValue=1,l.drawArrays(l.TRIANGLES,0,i)),f[2]&&(p.color=m[2],p.projectAxis=t,p.projectValue=1,l.drawArrays(l.TRIANGLES,0,i)),f[3]&&(p.color=m[3],p.projectAxis=r,p.projectValue=1,l.drawArrays(l.TRIANGLES,0,i)),l.depthMask(!1),l.disable(l.DEPTH_TEST)}var g=this.lineShader;g.bind(),this.lineBufferLo.bind(),g.attributes.aLo.pointer(l.FLOAT,!1,16,0),g.attributes.dLo.pointer(l.FLOAT,!1,16,8),this.lineBufferHi.bind();var v=g.uniforms;this.setProjectionUniforms(v,a),v.color=c,v.width=s*u,v.dashPattern=this.dashPattern.bind(),v.dashLength=this.dashLength*u;var y=g.attributes;if(y.aHi.pointer(l.FLOAT,!1,16,0),y.dHi.pointer(l.FLOAT,!1,16,8),l.drawArrays(l.TRIANGLES,0,i),s>2&&!this.usingDashes){var b=this.mitreShader;this.lineBufferLo.bind(),b.attributes.aLo.pointer(l.FLOAT,!1,48,0),this.lineBufferHi.bind(),b.bind();var x=b.uniforms;this.setProjectionUniforms(x,a),x.color=c,x.radius=s*u,b.attributes.aHi.pointer(l.FLOAT,!1,48,0),l.drawArrays(l.POINTS,0,i/3|0)}}}}(),f.drawPick=function(){var t=[0,0,0,0];return function(e){var r=this.vertCount,n=this.numPoints;if(this.pickOffset=e,!r)return e+n;var i=this.setProjectionModel(),a=this.plot,o=this.width,s=a.gl,l=a.pickPixelRatio,u=this.pickShader,c=this.pickBuffer;t[0]=255&e,t[1]=e>>>8&255,t[2]=e>>>16&255,t[3]=e>>>24,u.bind();var h=u.uniforms;this.setProjectionUniforms(h,i),h.width=o*l,h.pickOffset=t;var f=u.attributes;return this.lineBufferHi.bind(),f.aHi.pointer(s.FLOAT,!1,16,0),f.dHi.pointer(s.FLOAT,!1,16,8),this.lineBufferLo.bind(),f.aLo.pointer(s.FLOAT,!1,16,0),c.bind(),f.pick0.pointer(s.UNSIGNED_BYTE,!1,8,0),f.pick1.pointer(s.UNSIGNED_BYTE,!1,8,4),s.drawArrays(s.TRIANGLES,0,r),e+n}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.numPoints;if(r<n||r>=n+i)return null;var a=r-n,o=this.data;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}},f.update=function(t){t=t||{};var e,r,n,a,o,s=this.plot.gl;this.color=(t.color||[0,0,1,1]).slice(),this.width=+(t.width||1),this.fill=(t.fill||[!1,!1,!1,!1]).slice(),this.fillColor=i(t.fillColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var h=t.dashes||[1],f=0;for(e=0;e<h.length;++e)f+=h[e];var d=c.mallocUint8(f);n=0;var p=255;for(e=0;e<h.length;++e){for(r=0;r<h[e];++r)d[n++]=p;p^=255}this.dashPattern.dispose(),this.usingDashes=h.length>1,this.dashPattern=l(s,u(d,[f,1,4],[1,0,0])),this.dashPattern.minFilter=s.NEAREST,this.dashPattern.magFilter=s.NEAREST,this.dashLength=f,c.free(d);var m=t.positions;this.data=m;var g=this.bounds;g[0]=g[1]=1/0,g[2]=g[3]=-1/0;var v=this.numPoints=m.length>>>1;if(0!==v){for(e=0;e<v;++e)a=m[2*e],o=m[2*e+1],isNaN(a)||isNaN(o)||(g[0]=Math.min(g[0],a),g[1]=Math.min(g[1],o),g[2]=Math.max(g[2],a),g[3]=Math.max(g[3],o));g[0]===g[2]&&(g[2]+=1),g[3]===g[1]&&(g[3]+=1);var y=c.mallocFloat64(24*(v-1)),b=c.mallocFloat32(24*(v-1)),x=c.mallocFloat32(24*(v-1)),_=c.mallocUint32(12*(v-1)),w=b.length,M=_.length;n=v;for(var k=0;n>1;){var A=--n;a=m[2*n],o=m[2*n+1];var T=A-1,S=m[2*T],E=m[2*T+1];if(!(isNaN(a)||isNaN(o)||isNaN(S)||isNaN(E))){k+=1,a=(a-g[0])/(g[2]-g[0]),o=(o-g[1])/(g[3]-g[1]),S=(S-g[0])/(g[2]-g[0]),E=(E-g[1])/(g[3]-g[1]);var L=S-a,C=E-o,z=A|1<<24,D=A-1,I=A,P=A-1|1<<24;y[--w]=-C,y[--w]=-L,y[--w]=o,y[--w]=a,_[--M]=z,_[--M]=D,y[--w]=C,y[--w]=L,y[--w]=E,y[--w]=S,_[--M]=I,_[--M]=P,y[--w]=-C,y[--w]=-L,y[--w]=E,y[--w]=S,_[--M]=I,_[--M]=P,y[--w]=C,y[--w]=L,y[--w]=E,y[--w]=S,_[--M]=I,_[--M]=P,y[--w]=-C,y[--w]=-L,y[--w]=o,y[--w]=a,_[--M]=z,_[--M]=D,y[--w]=C,y[--w]=L,y[--w]=o,y[--w]=a,_[--M]=z,_[--M]=D}}for(e=0;e<y.length;e++)b[e]=y[e],x[e]=y[e]-b[e];this.vertCount=6*k,this.lineBufferHi.update(b.subarray(w)),this.lineBufferLo.update(x.subarray(w)),this.pickBuffer.update(_.subarray(M)),c.free(y),c.free(b),c.free(x),c.free(_)}},f.dispose=function(){this.plot.removeObject(this),this.lineBufferLo.dispose(),this.lineBufferHi.dispose(),this.pickBuffer.dispose(),this.lineShader.dispose(),this.mitreShader.dispose(),this.fillShader.dispose(),this.pickShader.dispose(),this.dashPattern.dispose()}},{\"./lib/shaders\":153,\"gl-buffer\":141,\"gl-shader\":239,\"gl-texture2d\":251,ndarray:449,\"typedarray-pool\":521}],155:[function(t,e,r){var n=t(\"gl-shader\"),i=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvoid main() {\\n  vec4 projected = projection * view * model * vec4(position, 1.0);\\n  vec4 tangentClip = projection * view * model * vec4(nextPosition - position, 0.0);\\n  vec2 tangent = normalize(screenShape * tangentClip.xy);\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(tangent.y, -tangent.x) / screenShape;\\n\\n  gl_Position = vec4(projected.xy + projected.w * offset, projected.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\",a=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];r.createShader=function(t){return n(t,i,\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if(any(lessThan(worldPosition, clipBounds[0])) || any(greaterThan(worldPosition, clipBounds[1]))) {\\n    discard;\\n  }\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\",null,a)},r.createPickShader=function(t){return n(t,i,\"precision mediump float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\nlowp vec4 encode_float_1_0(highp float v) {\\n  highp float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  highp vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  highp float e = floor(log2(av));\\n  highp float m = av * pow(2.0, -e) - 1.0;\\n  \\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n  \\n  //Unpack exponent\\n  highp float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0; \\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\n\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if(any(lessThan(worldPosition, clipBounds[0])) || any(greaterThan(worldPosition, clipBounds[1]))) {\\n    discard;\\n  }\\n  gl_FragColor = vec4(pickId/255.0, encode_float_1_0(pixelArcLength).xyz);\\n}\",null,a)}},{\"gl-shader\":239}],156:[function(t,e,r){\"use strict\";function n(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function i(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function a(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function o(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.dirty=!0,this.pixelRatio=1}function s(t){var e=t.gl||t.scene&&t.scene.gl,r=m(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var n=g(e);n.attributes.position.location=0,n.attributes.nextPosition.location=1,n.attributes.arcLength.location=2,n.attributes.lineWidth.location=3,n.attributes.color.location=4;for(var i=l(e),a=u(e,[{buffer:i,size:3,offset:0,stride:48},{buffer:i,size:3,offset:12,stride:48},{buffer:i,size:1,offset:24,stride:48},{buffer:i,size:1,offset:28,stride:48},{buffer:i,size:4,offset:32,stride:48}]),s=d(new Array(1024),[256,1,4]),h=0;h<1024;++h)s.data[h]=255;var f=c(e,s);f.wrap=e.REPEAT;var p=new o(e,r,n,i,a,f);return p.update(t),p}e.exports=s;var l=t(\"gl-buffer\"),u=t(\"gl-vao\"),c=t(\"gl-texture2d\"),h=t(\"glsl-read-float\"),f=t(\"binary-search-bounds\"),d=t(\"ndarray\"),p=t(\"./lib/shaders\"),m=p.createShader,g=p.createPickShader,v=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],y=o.prototype;y.isTransparent=function(){return this.opacity<1},y.isOpaque=function(){return this.opacity>=1},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.draw=function(t){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||v,view:t.view||v,projection:t.projection||v,clipBounds:i(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount)},y.drawPick=function(t){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||v,view:t.view||v,projection:t.projection||v,pickId:this.pickId,clipBounds:i(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount)},y.update=function(t){var e,r;this.dirty=!0;var i=!!t.connectGaps;\"dashScale\"in t&&(this.dashScale=t.dashScale),\"opacity\"in t&&(this.opacity=+t.opacity);var a=t.position||t.positions;if(a){var o=t.color||t.colors||[0,0,0,1],s=t.lineWidth||1,l=[],u=[],c=[],h=0,p=0,m=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],g=!1;t:for(e=1;e<a.length;++e){var v=a[e-1],y=a[e];for(u.push(h),c.push(v.slice()),r=0;r<3;++r){if(isNaN(v[r])||isNaN(y[r])||!isFinite(v[r])||!isFinite(y[r])){if(!i&&l.length>0){for(var b=0;b<24;++b)l.push(l[l.length-12]);p+=2,g=!0}continue t}m[0][r]=Math.min(m[0][r],v[r],y[r]),m[1][r]=Math.max(m[1][r],v[r],y[r])}var 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r=e[0],n=e[1],i=e[2],a=e[3],o=r*a-i*n;return o?(o=1/o,t[0]=a*o,t[1]=-n*o,t[2]=-i*o,t[3]=r*o,t):null}e.exports=n},{}],158:[function(t,e,r){function n(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],u=e[7],c=e[8],h=c*o-s*u,f=-c*a+s*l,d=u*a-o*l,p=r*h+n*f+i*d;return p?(p=1/p,t[0]=h*p,t[1]=(-c*n+i*u)*p,t[2]=(s*n-i*o)*p,t[3]=f*p,t[4]=(c*r-i*l)*p,t[5]=(-s*r+i*a)*p,t[6]=d*p,t[7]=(-u*r+n*l)*p,t[8]=(o*r-n*a)*p,t):null}e.exports=n},{}],159:[function(t,e,r){function n(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}e.exports=n},{}],160:[function(t,e,r){function n(){var t=new Float32Array(16);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}e.exports=n},{}],161:[function(t,e,r){function n(t){var e=t[0],r=t[1],n=t[2],i=t[3],a=t[4],o=t[5],s=t[6],l=t[7],u=t[8],c=t[9],h=t[10],f=t[11],d=t[12],p=t[13],m=t[14],g=t[15];return(e*o-r*a)*(h*g-f*m)-(e*s-n*a)*(c*g-f*p)+(e*l-i*a)*(c*m-h*p)+(r*s-n*o)*(u*g-f*d)-(r*l-i*o)*(u*m-h*d)+(n*l-i*s)*(u*p-c*d)}e.exports=n},{}],162:[function(t,e,r){function n(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,u=r*o,c=n*o,h=n*s,f=i*o,d=i*s,p=i*l,m=a*o,g=a*s,v=a*l;return t[0]=1-h-p,t[1]=c+v,t[2]=f-g,t[3]=0,t[4]=c-v,t[5]=1-u-p,t[6]=d+m,t[7]=0,t[8]=f+g,t[9]=d-m,t[10]=1-u-h,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}e.exports=n},{}],163:[function(t,e,r){function n(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,u=a+a,c=n*s,h=n*l,f=n*u,d=i*l,p=i*u,m=a*u,g=o*s,v=o*l,y=o*u;return t[0]=1-(d+m),t[1]=h+y,t[2]=f-v,t[3]=0,t[4]=h-y,t[5]=1-(c+m),t[6]=p+g,t[7]=0,t[8]=f+v,t[9]=p-g,t[10]=1-(c+d),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}e.exports=n},{}],164:[function(t,e,r){function n(t){return 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Math.abs(m-_)<1e-6&&Math.abs(g-w)<1e-6&&Math.abs(v-M)<1e-6?i(t):(h=m-_,f=g-w,d=v-M,p=1/Math.sqrt(h*h+f*f+d*d),h*=p,f*=p,d*=p,a=b*d-x*f,o=x*h-y*d,s=y*f-b*h,p=Math.sqrt(a*a+o*o+s*s),p?(p=1/p,a*=p,o*=p,s*=p):(a=0,o=0,s=0),l=f*s-d*o,u=d*a-h*s,c=h*o-f*a,p=Math.sqrt(l*l+u*u+c*c),p?(p=1/p,l*=p,u*=p,c*=p):(l=0,u=0,c=0),t[0]=a,t[1]=l,t[2]=h,t[3]=0,t[4]=o,t[5]=u,t[6]=f,t[7]=0,t[8]=s,t[9]=c,t[10]=d,t[11]=0,t[12]=-(a*m+o*g+s*v),t[13]=-(l*m+u*g+c*v),t[14]=-(h*m+f*g+d*v),t[15]=1,t)}var i=t(\"./identity\");e.exports=n},{\"./identity\":164}],167:[function(t,e,r){function n(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],h=e[8],f=e[9],d=e[10],p=e[11],m=e[12],g=e[13],v=e[14],y=e[15],b=r[0],x=r[1],_=r[2],w=r[3];return t[0]=b*n+x*s+_*h+w*m,t[1]=b*i+x*l+_*f+w*g,t[2]=b*a+x*u+_*d+w*v,t[3]=b*o+x*c+_*p+w*y,b=r[4],x=r[5],_=r[6],w=r[7],t[4]=b*n+x*s+_*h+w*m,t[5]=b*i+x*l+_*f+w*g,t[6]=b*a+x*u+_*d+w*v,t[7]=b*o+x*c+_*p+w*y,b=r[8],x=r[9],_=r[10],w=r[11],t[8]=b*n+x*s+_*h+w*m,t[9]=b*i+x*l+_*f+w*g,t[10]=b*a+x*u+_*d+w*v,t[11]=b*o+x*c+_*p+w*y,b=r[12],x=r[13],_=r[14],w=r[15],t[12]=b*n+x*s+_*h+w*m,t[13]=b*i+x*l+_*f+w*g,t[14]=b*a+x*u+_*d+w*v,t[15]=b*o+x*c+_*p+w*y,t}e.exports=n},{}],168:[function(t,e,r){function n(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}e.exports=n},{}],169:[function(t,e,r){function n(t,e,r,n){var i,a,o,s,l,u,c,h,f,d,p,m,g,v,y,b,x,_,w,M,k,A,T,S,E=n[0],L=n[1],C=n[2],z=Math.sqrt(E*E+L*L+C*C);return Math.abs(z)<1e-6?null:(z=1/z,E*=z,L*=z,C*=z,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],u=e[2],c=e[3],h=e[4],f=e[5],d=e[6],p=e[7],m=e[8],g=e[9],v=e[10],y=e[11],b=E*E*o+a,x=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,M=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,T=L*C*o-E*i,S=C*C*o+a,t[0]=s*b+h*x+m*_,t[1]=l*b+f*x+g*_,t[2]=u*b+d*x+v*_,t[3]=c*b+p*x+y*_,t[4]=s*w+h*M+m*k,t[5]=l*w+f*M+g*k,t[6]=u*w+d*M+v*k,t[7]=c*w+p*M+y*k,t[8]=s*A+h*T+m*S,t[9]=l*A+f*T+g*S,t[10]=u*A+d*T+v*S,t[11]=c*A+p*T+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t)}e.exports=n},{}],170:[function(t,e,r){function n(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],u=e[8],c=e[9],h=e[10],f=e[11];return e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[4]=a*i+u*n,t[5]=o*i+c*n,t[6]=s*i+h*n,t[7]=l*i+f*n,t[8]=u*i-a*n,t[9]=c*i-o*n,t[10]=h*i-s*n,t[11]=f*i-l*n,t}e.exports=n},{}],171:[function(t,e,r){function n(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[8],c=e[9],h=e[10],f=e[11];return e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i-u*n,t[1]=o*i-c*n,t[2]=s*i-h*n,t[3]=l*i-f*n,t[8]=a*n+u*i,t[9]=o*n+c*i,t[10]=s*n+h*i,t[11]=l*n+f*i,t}e.exports=n},{}],172:[function(t,e,r){function n(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[4],c=e[5],h=e[6],f=e[7];return e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i+u*n,t[1]=o*i+c*n,t[2]=s*i+h*n,t[3]=l*i+f*n,t[4]=u*i-a*n,t[5]=c*i-o*n,t[6]=h*i-s*n,t[7]=f*i-l*n,t}e.exports=n},{}],173:[function(t,e,r){function n(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}e.exports=n},{}],174:[function(t,e,r){function n(t,e,r){var n,i,a,o,s,l,u,c,h,f,d,p,m=r[0],g=r[1],v=r[2];return e===t?(t[12]=e[0]*m+e[4]*g+e[8]*v+e[12],t[13]=e[1]*m+e[5]*g+e[9]*v+e[13],t[14]=e[2]*m+e[6]*g+e[10]*v+e[14],t[15]=e[3]*m+e[7]*g+e[11]*v+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],h=e[8],f=e[9],d=e[10],p=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=u,t[7]=c,t[8]=h,t[9]=f,t[10]=d,t[11]=p,t[12]=n*m+s*g+h*v+e[12],t[13]=i*m+l*g+f*v+e[13],t[14]=a*m+u*g+d*v+e[14],t[15]=o*m+c*g+p*v+e[15]),t}e.exports=n},{}],175:[function(t,e,r){function n(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}e.exports=n},{}],176:[function(t,e,r){\"use strict\";function n(t,e){switch(e.length){case 0:break;case 1:t[0]=1/e[0];break;case 4:i(t,e);break;case 9:a(t,e);break;case 16:o(t,e);break;default:throw new Error(\"currently supports matrices up to 4x4\")}return t}e.exports=n;var i=t(\"gl-mat2/invert\"),a=t(\"gl-mat3/invert\"),o=t(\"gl-mat4/invert\")},{\"gl-mat2/invert\":157,\"gl-mat3/invert\":158,\"gl-mat4/invert\":165}],177:[function(t,e,r){r.glMatrix=t(\"./gl-matrix/common.js\"),r.mat2=t(\"./gl-matrix/mat2.js\"),r.mat2d=t(\"./gl-matrix/mat2d.js\"),r.mat3=t(\"./gl-matrix/mat3.js\"),r.mat4=t(\"./gl-matrix/mat4.js\"),r.quat=t(\"./gl-matrix/quat.js\"),r.vec2=t(\"./gl-matrix/vec2.js\"),r.vec3=t(\"./gl-matrix/vec3.js\"),r.vec4=t(\"./gl-matrix/vec4.js\")},{\"./gl-matrix/common.js\":178,\"./gl-matrix/mat2.js\":179,\"./gl-matrix/mat2d.js\":180,\"./gl-matrix/mat3.js\":181,\"./gl-matrix/mat4.js\":182,\"./gl-matrix/quat.js\":183,\"./gl-matrix/vec2.js\":184,\"./gl-matrix/vec3.js\":185,\"./gl-matrix/vec4.js\":186}],178:[function(t,e,r){var n={};n.EPSILON=1e-6,n.ARRAY_TYPE=\"undefined\"!=typeof 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t[0]=f*n+d*o+p*u,t[1]=f*i+d*s+p*c,t[2]=f*a+d*l+p*h,t[3]=m*n+g*o+v*u,t[4]=m*i+g*s+v*c,t[5]=m*a+g*l+v*h,t[6]=y*n+b*o+x*u,t[7]=y*i+b*s+x*c,t[8]=y*a+b*l+x*h,t},i.mul=i.multiply,i.translate=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],h=e[8],f=r[0],d=r[1];return t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=f*n+d*o+u,t[7]=f*i+d*s+c,t[8]=f*a+d*l+h,t},i.rotate=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],h=e[8],f=Math.sin(r),d=Math.cos(r);return t[0]=d*n+f*o,t[1]=d*i+f*s,t[2]=d*a+f*l,t[3]=d*o-f*n,t[4]=d*s-f*i,t[5]=d*l-f*a,t[6]=u,t[7]=c,t[8]=h,t},i.scale=function(t,e,r){var n=r[0],i=r[1];return t[0]=n*e[0],t[1]=n*e[1],t[2]=n*e[2],t[3]=i*e[3],t[4]=i*e[4],t[5]=i*e[5],t[6]=e[6],t[7]=e[7],t[8]=e[8],t},i.fromTranslation=function(t,e){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=1,t[5]=0,t[6]=e[0],t[7]=e[1],t[8]=1,t},i.fromRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=r,t[2]=0,t[3]=-r,t[4]=n,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},i.fromScaling=function(t,e){return t[0]=e[0],t[1]=0,t[2]=0,t[3]=0,t[4]=e[1],t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},i.fromMat2d=function(t,e){return t[0]=e[0],t[1]=e[1],t[2]=0,t[3]=e[2],t[4]=e[3],t[5]=0,t[6]=e[4],t[7]=e[5],t[8]=1,t},i.fromQuat=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,u=r*o,c=n*o,h=n*s,f=i*o,d=i*s,p=i*l,m=a*o,g=a*s,v=a*l;return t[0]=1-h-p,t[3]=c-v,t[6]=f+g,t[1]=c+v,t[4]=1-u-p,t[7]=d-m,t[2]=f-g,t[5]=d+m,t[8]=1-u-h,t},i.normalFromMat4=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],u=e[7],c=e[8],h=e[9],f=e[10],d=e[11],p=e[12],m=e[13],g=e[14],v=e[15],y=r*s-n*o,b=r*l-i*o,x=r*u-a*o,_=n*l-i*s,w=n*u-a*s,M=i*u-a*l,k=c*m-h*p,A=c*g-f*p,T=c*v-d*p,S=h*g-f*m,E=h*v-d*m,L=f*v-d*g,C=y*L-b*E+x*S+_*T-w*A+M*k;return C?(C=1/C,t[0]=(s*L-l*E+u*S)*C,t[1]=(l*T-o*L-u*A)*C,t[2]=(o*E-s*T+u*k)*C,t[3]=(i*E-n*L-a*S)*C,t[4]=(r*L-i*T+a*A)*C,t[5]=(n*T-r*E-a*k)*C,t[6]=(m*M-g*w+v*_)*C,t[7]=(g*x-p*M-v*b)*C,t[8]=(p*w-m*x+v*y)*C,t):null},i.str=function(t){return\"mat3(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\")\"},i.frob=function(t){return Math.sqrt(Math.pow(t[0],2)+Math.pow(t[1],2)+Math.pow(t[2],2)+Math.pow(t[3],2)+Math.pow(t[4],2)+Math.pow(t[5],2)+Math.pow(t[6],2)+Math.pow(t[7],2)+Math.pow(t[8],2))},i.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t[3]=e[3]+r[3],t[4]=e[4]+r[4],t[5]=e[5]+r[5],t[6]=e[6]+r[6],t[7]=e[7]+r[7],t[8]=e[8]+r[8],t},i.subtract=function(t,e,r){return t[0]=e[0]-r[0],t[1]=e[1]-r[1],t[2]=e[2]-r[2],t[3]=e[3]-r[3],t[4]=e[4]-r[4],t[5]=e[5]-r[5],t[6]=e[6]-r[6],t[7]=e[7]-r[7],t[8]=e[8]-r[8],t},i.sub=i.subtract,i.multiplyScalar=function(t,e,r){return t[0]=e[0]*r,t[1]=e[1]*r,t[2]=e[2]*r,t[3]=e[3]*r,t[4]=e[4]*r,t[5]=e[5]*r,t[6]=e[6]*r,t[7]=e[7]*r,t[8]=e[8]*r,t},i.multiplyScalarAndAdd=function(t,e,r,n){return t[0]=e[0]+r[0]*n,t[1]=e[1]+r[1]*n,t[2]=e[2]+r[2]*n,t[3]=e[3]+r[3]*n,t[4]=e[4]+r[4]*n,t[5]=e[5]+r[5]*n,t[6]=e[6]+r[6]*n,t[7]=e[7]+r[7]*n,t[8]=e[8]+r[8]*n,t},i.exactEquals=function(t,e){return t[0]===e[0]&&t[1]===e[1]&&t[2]===e[2]&&t[3]===e[3]&&t[4]===e[4]&&t[5]===e[5]&&t[6]===e[6]&&t[7]===e[7]&&t[8]===e[8]},i.equals=function(t,e){var r=t[0],i=t[1],a=t[2],o=t[3],s=t[4],l=t[5],u=t[6],c=t[7],h=t[8],f=e[0],d=e[1],p=e[2],m=e[3],g=e[4],v=e[5],y=t[6],b=e[7],x=e[8];return Math.abs(r-f)<=n.EPSILON*Math.max(1,Math.abs(r),Math.abs(f))&&Math.abs(i-d)<=n.EPSILON*Math.max(1,Math.abs(i),Math.abs(d))&&Math.abs(a-p)<=n.EPSILON*Math.max(1,Math.abs(a),Math.abs(p))&&Math.abs(o-m)<=n.EPSILON*Math.max(1,Math.abs(o),Math.abs(m))&&Math.abs(s-g)<=n.EPSILON*Math.max(1,Math.abs(s),Math.abs(g))&&Math.abs(l-v)<=n.EPSILON*Math.max(1,Math.abs(l),Math.abs(v))&&Math.abs(u-y)<=n.EPSILON*Math.max(1,Math.abs(u),Math.abs(y))&&Math.abs(c-b)<=n.EPSILON*Math.max(1,Math.abs(c),Math.abs(b))&&Math.abs(h-x)<=n.EPSILON*Math.max(1,Math.abs(h),Math.abs(x))},e.exports=i},{\"./common.js\":178}],182:[function(t,e,r){var n=t(\"./common.js\"),i={scalar:{},SIMD:{}};i.create=function(){var t=new n.ARRAY_TYPE(16);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},i.clone=function(t){var e=new n.ARRAY_TYPE(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},i.copy=function(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t},i.fromValues=function(t,e,r,i,a,o,s,l,u,c,h,f,d,p,m,g){var v=new n.ARRAY_TYPE(16);return v[0]=t,v[1]=e,v[2]=r,v[3]=i,v[4]=a,v[5]=o,v[6]=s,v[7]=l,v[8]=u,v[9]=c,v[10]=h,v[11]=f,v[12]=d,v[13]=p,v[14]=m,v[15]=g,v},i.set=function(t,e,r,n,i,a,o,s,l,u,c,h,f,d,p,m,g){return t[0]=e,t[1]=r,t[2]=n,t[3]=i,t[4]=a,t[5]=o,t[6]=s,t[7]=l,t[8]=u,t[9]=c,t[10]=h,t[11]=f,t[12]=d,t[13]=p,t[14]=m,t[15]=g,t},i.identity=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},i.scalar.transpose=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t},i.SIMD.transpose=function(t,e){var r,n,i,a,o,s,l,u,c,h;return r=SIMD.Float32x4.load(e,0),n=SIMD.Float32x4.load(e,4),i=SIMD.Float32x4.load(e,8),a=SIMD.Float32x4.load(e,12),o=SIMD.Float32x4.shuffle(r,n,0,1,4,5),s=SIMD.Float32x4.shuffle(i,a,0,1,4,5),l=SIMD.Float32x4.shuffle(o,s,0,2,4,6),u=SIMD.Float32x4.shuffle(o,s,1,3,5,7),SIMD.Float32x4.store(t,0,l),SIMD.Float32x4.store(t,4,u),o=SIMD.Float32x4.shuffle(r,n,2,3,6,7),s=SIMD.Float32x4.shuffle(i,a,2,3,6,7),c=SIMD.Float32x4.shuffle(o,s,0,2,4,6),h=SIMD.Float32x4.shuffle(o,s,1,3,5,7),SIMD.Float32x4.store(t,8,c),SIMD.Float32x4.store(t,12,h),t},i.transpose=n.USE_SIMD?i.SIMD.transpose:i.scalar.transpose,i.scalar.invert=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],u=e[7],c=e[8],h=e[9],f=e[10],d=e[11],p=e[12],m=e[13],g=e[14],v=e[15],y=r*s-n*o,b=r*l-i*o,x=r*u-a*o,_=n*l-i*s,w=n*u-a*s,M=i*u-a*l,k=c*m-h*p,A=c*g-f*p,T=c*v-d*p,S=h*g-f*m,E=h*v-d*m,L=f*v-d*g,C=y*L-b*E+x*S+_*T-w*A+M*k;return C?(C=1/C,t[0]=(s*L-l*E+u*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(m*M-g*w+v*_)*C,t[3]=(f*w-h*M-d*_)*C,t[4]=(l*T-o*L-u*A)*C,t[5]=(r*L-i*T+a*A)*C,t[6]=(g*x-p*M-v*b)*C,t[7]=(c*M-f*x+d*b)*C,t[8]=(o*E-s*T+u*k)*C,t[9]=(n*T-r*E-a*k)*C,t[10]=(p*w-m*x+v*y)*C,t[11]=(h*x-c*w-d*y)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(m*b-p*_-g*y)*C,t[15]=(c*_-h*b+f*y)*C,t):null},i.SIMD.invert=function(t,e){var r,n,i,a,o,s,l,u,c,h,f=SIMD.Float32x4.load(e,0),d=SIMD.Float32x4.load(e,4),p=SIMD.Float32x4.load(e,8),m=SIMD.Float32x4.load(e,12);return o=SIMD.Float32x4.shuffle(f,d,0,1,4,5),n=SIMD.Float32x4.shuffle(p,m,0,1,4,5),r=SIMD.Float32x4.shuffle(o,n,0,2,4,6),n=SIMD.Float32x4.shuffle(n,o,1,3,5,7),o=SIMD.Float32x4.shuffle(f,d,2,3,6,7),a=SIMD.Float32x4.shuffle(p,m,2,3,6,7),i=SIMD.Float32x4.shuffle(o,a,0,2,4,6),a=SIMD.Float32x4.shuffle(a,o,1,3,5,7),o=SIMD.Float32x4.mul(i,a),o=SIMD.Float32x4.swizzle(o,1,0,3,2),s=SIMD.Float32x4.mul(n,o),l=SIMD.Float32x4.mul(r,o),o=SIMD.Float32x4.swizzle(o,2,3,0,1),s=SIMD.Float32x4.sub(SIMD.Float32x4.mul(n,o),s),l=SIMD.Float32x4.sub(SIMD.Float32x4.mul(r,o),l),l=SIMD.Float32x4.swizzle(l,2,3,0,1),o=SIMD.Float32x4.mul(n,i),o=SIMD.Float32x4.swizzle(o,1,0,3,2),s=SIMD.Float32x4.add(SIMD.Float32x4.mul(a,o),s),c=SIMD.Float32x4.mul(r,o),o=SIMD.Float32x4.swizzle(o,2,3,0,1),s=SIMD.Float32x4.sub(s,SIMD.Float32x4.mul(a,o)),c=SIMD.Float32x4.sub(SIMD.Float32x4.mul(r,o),c),c=SIMD.Float32x4.swizzle(c,2,3,0,1),o=SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(n,2,3,0,1),a),o=SIMD.Float32x4.swizzle(o,1,0,3,2),i=SIMD.Float32x4.swizzle(i,2,3,0,1),s=SIMD.Float32x4.add(SIMD.Float32x4.mul(i,o),s),u=SIMD.Float32x4.mul(r,o),o=SIMD.Float32x4.swizzle(o,2,3,0,1),s=SIMD.Float32x4.sub(s,SIMD.Float32x4.mul(i,o)),u=SIMD.Float32x4.sub(SIMD.Float32x4.mul(r,o),u),u=SIMD.Float32x4.swizzle(u,2,3,0,1),o=SIMD.Float32x4.mul(r,n),o=SIMD.Float32x4.swizzle(o,1,0,3,2),u=SIMD.Float32x4.add(SIMD.Float32x4.mul(a,o),u),c=SIMD.Float32x4.sub(SIMD.Float32x4.mul(i,o),c),o=SIMD.Float32x4.swizzle(o,2,3,0,1),u=SIMD.Float32x4.sub(SIMD.Float32x4.mul(a,o),u),c=SIMD.Float32x4.sub(c,SIMD.Float32x4.mul(i,o)),o=SIMD.Float32x4.mul(r,a),o=SIMD.Float32x4.swizzle(o,1,0,3,2),l=SIMD.Float32x4.sub(l,SIMD.Float32x4.mul(i,o)),u=SIMD.Float32x4.add(SIMD.Float32x4.mul(n,o),u),o=SIMD.Float32x4.swizzle(o,2,3,0,1),l=SIMD.Float32x4.add(SIMD.Float32x4.mul(i,o),l),u=SIMD.Float32x4.sub(u,SIMD.Float32x4.mul(n,o)),o=SIMD.Float32x4.mul(r,i),o=SIMD.Float32x4.swizzle(o,1,0,3,2),l=SIMD.Float32x4.add(SIMD.Float32x4.mul(a,o),l),c=SIMD.Float32x4.sub(c,SIMD.Float32x4.mul(n,o)),o=SIMD.Float32x4.swizzle(o,2,3,0,1),l=SIMD.Float32x4.sub(l,SIMD.Float32x4.mul(a,o)),c=SIMD.Float32x4.add(SIMD.Float32x4.mul(n,o),c),h=SIMD.Float32x4.mul(r,s),h=SIMD.Float32x4.add(SIMD.Float32x4.swizzle(h,2,3,0,1),h),h=SIMD.Float32x4.add(SIMD.Float32x4.swizzle(h,1,0,3,2),h),o=SIMD.Float32x4.reciprocalApproximation(h),h=SIMD.Float32x4.sub(SIMD.Float32x4.add(o,o),SIMD.Float32x4.mul(h,SIMD.Float32x4.mul(o,o))),(h=SIMD.Float32x4.swizzle(h,0,0,0,0))?(SIMD.Float32x4.store(t,0,SIMD.Float32x4.mul(h,s)),SIMD.Float32x4.store(t,4,SIMD.Float32x4.mul(h,l)),SIMD.Float32x4.store(t,8,SIMD.Float32x4.mul(h,u)),SIMD.Float32x4.store(t,12,SIMD.Float32x4.mul(h,c)),t):null},i.invert=n.USE_SIMD?i.SIMD.invert:i.scalar.invert,i.scalar.adjoint=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],u=e[7],c=e[8],h=e[9],f=e[10],d=e[11],p=e[12],m=e[13],g=e[14],v=e[15];return t[0]=s*(f*v-d*g)-h*(l*v-u*g)+m*(l*d-u*f),t[1]=-(n*(f*v-d*g)-h*(i*v-a*g)+m*(i*d-a*f)),t[2]=n*(l*v-u*g)-s*(i*v-a*g)+m*(i*u-a*l),t[3]=-(n*(l*d-u*f)-s*(i*d-a*f)+h*(i*u-a*l)),t[4]=-(o*(f*v-d*g)-c*(l*v-u*g)+p*(l*d-u*f)),t[5]=r*(f*v-d*g)-c*(i*v-a*g)+p*(i*d-a*f),t[6]=-(r*(l*v-u*g)-o*(i*v-a*g)+p*(i*u-a*l)),t[7]=r*(l*d-u*f)-o*(i*d-a*f)+c*(i*u-a*l),t[8]=o*(h*v-d*m)-c*(s*v-u*m)+p*(s*d-u*h),t[9]=-(r*(h*v-d*m)-c*(n*v-a*m)+p*(n*d-a*h)),t[10]=r*(s*v-u*m)-o*(n*v-a*m)+p*(n*u-a*s),t[11]=-(r*(s*d-u*h)-o*(n*d-a*h)+c*(n*u-a*s)),t[12]=-(o*(h*g-f*m)-c*(s*g-l*m)+p*(s*f-l*h)),t[13]=r*(h*g-f*m)-c*(n*g-i*m)+p*(n*f-i*h),t[14]=-(r*(s*g-l*m)-o*(n*g-i*m)+p*(n*l-i*s)),t[15]=r*(s*f-l*h)-o*(n*f-i*h)+c*(n*l-i*s),t},i.SIMD.adjoint=function(t,e){var r,n,i,a,o,s,l,u,c,h,f,d,p,r=SIMD.Float32x4.load(e,0),n=SIMD.Float32x4.load(e,4),i=SIMD.Float32x4.load(e,8),a=SIMD.Float32x4.load(e,12);return c=SIMD.Float32x4.shuffle(r,n,0,1,4,5),s=SIMD.Float32x4.shuffle(i,a,0,1,4,5),o=SIMD.Float32x4.shuffle(c,s,0,2,4,6),s=SIMD.Float32x4.shuffle(s,c,1,3,5,7),c=SIMD.Float32x4.shuffle(r,n,2,3,6,7),u=SIMD.Float32x4.shuffle(i,a,2,3,6,7),l=SIMD.Float32x4.shuffle(c,u,0,2,4,6),u=SIMD.Float32x4.shuffle(u,c,1,3,5,7),c=SIMD.Float32x4.mul(l,u),c=SIMD.Float32x4.swizzle(c,1,0,3,2),h=SIMD.Float32x4.mul(s,c),f=SIMD.Float32x4.mul(o,c),c=SIMD.Float32x4.swizzle(c,2,3,0,1),h=SIMD.Float32x4.sub(SIMD.Float32x4.mul(s,c),h),f=SIMD.Float32x4.sub(SIMD.Float32x4.mul(o,c),f),f=SIMD.Float32x4.swizzle(f,2,3,0,1),c=SIMD.Float32x4.mul(s,l),c=SIMD.Float32x4.swizzle(c,1,0,3,2),h=SIMD.Float32x4.add(SIMD.Float32x4.mul(u,c),h),p=SIMD.Float32x4.mul(o,c),c=SIMD.Float32x4.swizzle(c,2,3,0,1),h=SIMD.Float32x4.sub(h,SIMD.Float32x4.mul(u,c)),p=SIMD.Float32x4.sub(SIMD.Float32x4.mul(o,c),p),p=SIMD.Float32x4.swizzle(p,2,3,0,1),c=SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(s,2,3,0,1),u),c=SIMD.Float32x4.swizzle(c,1,0,3,2),l=SIMD.Float32x4.swizzle(l,2,3,0,1),h=SIMD.Float32x4.add(SIMD.Float32x4.mul(l,c),h),d=SIMD.Float32x4.mul(o,c),c=SIMD.Float32x4.swizzle(c,2,3,0,1),h=SIMD.Float32x4.sub(h,SIMD.Float32x4.mul(l,c)),d=SIMD.Float32x4.sub(SIMD.Float32x4.mul(o,c),d),d=SIMD.Float32x4.swizzle(d,2,3,0,1),c=SIMD.Float32x4.mul(o,s),c=SIMD.Float32x4.swizzle(c,1,0,3,2),d=SIMD.Float32x4.add(SIMD.Float32x4.mul(u,c),d),p=SIMD.Float32x4.sub(SIMD.Float32x4.mul(l,c),p),c=SIMD.Float32x4.swizzle(c,2,3,0,1),d=SIMD.Float32x4.sub(SIMD.Float32x4.mul(u,c),d),p=SIMD.Float32x4.sub(p,SIMD.Float32x4.mul(l,c)),c=SIMD.Float32x4.mul(o,u),c=SIMD.Float32x4.swizzle(c,1,0,3,2),f=SIMD.Float32x4.sub(f,SIMD.Float32x4.mul(l,c)),d=SIMD.Float32x4.add(SIMD.Float32x4.mul(s,c),d),c=SIMD.Float32x4.swizzle(c,2,3,0,1),f=SIMD.Float32x4.add(SIMD.Float32x4.mul(l,c),f),d=SIMD.Float32x4.sub(d,SIMD.Float32x4.mul(s,c)),c=SIMD.Float32x4.mul(o,l),c=SIMD.Float32x4.swizzle(c,1,0,3,2),f=SIMD.Float32x4.add(SIMD.Float32x4.mul(u,c),f),p=SIMD.Float32x4.sub(p,SIMD.Float32x4.mul(s,c)),c=SIMD.Float32x4.swizzle(c,2,3,0,1),f=SIMD.Float32x4.sub(f,SIMD.Float32x4.mul(u,c)),p=SIMD.Float32x4.add(SIMD.Float32x4.mul(s,c),p),SIMD.Float32x4.store(t,0,h),SIMD.Float32x4.store(t,4,f),SIMD.Float32x4.store(t,8,d),SIMD.Float32x4.store(t,12,p),t},i.adjoint=n.USE_SIMD?i.SIMD.adjoint:i.scalar.adjoint,i.determinant=function(t){var e=t[0],r=t[1],n=t[2],i=t[3],a=t[4],o=t[5],s=t[6],l=t[7],u=t[8],c=t[9],h=t[10],f=t[11],d=t[12],p=t[13],m=t[14],g=t[15];return(e*o-r*a)*(h*g-f*m)-(e*s-n*a)*(c*g-f*p)+(e*l-i*a)*(c*m-h*p)+(r*s-n*o)*(u*g-f*d)-(r*l-i*o)*(u*m-h*d)+(n*l-i*s)*(u*p-c*d)},i.SIMD.multiply=function(t,e,r){var n=SIMD.Float32x4.load(e,0),i=SIMD.Float32x4.load(e,4),a=SIMD.Float32x4.load(e,8),o=SIMD.Float32x4.load(e,12),s=SIMD.Float32x4.load(r,0),l=SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(s,0,0,0,0),n),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(s,1,1,1,1),i),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(s,2,2,2,2),a),SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(s,3,3,3,3),o))));SIMD.Float32x4.store(t,0,l);var u=SIMD.Float32x4.load(r,4),c=SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(u,0,0,0,0),n),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(u,1,1,1,1),i),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(u,2,2,2,2),a),SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(u,3,3,3,3),o))));SIMD.Float32x4.store(t,4,c);var h=SIMD.Float32x4.load(r,8),f=SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(h,0,0,0,0),n),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(h,1,1,1,1),i),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(h,2,2,2,2),a),SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(h,3,3,3,3),o))));SIMD.Float32x4.store(t,8,f);var d=SIMD.Float32x4.load(r,12),p=SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(d,0,0,0,0),n),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(d,1,1,1,1),i),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(d,2,2,2,2),a),SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(d,3,3,3,3),o))));return SIMD.Float32x4.store(t,12,p),t},i.scalar.multiply=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],h=e[8],f=e[9],d=e[10],p=e[11],m=e[12],g=e[13],v=e[14],y=e[15],b=r[0],x=r[1],_=r[2],w=r[3];return t[0]=b*n+x*s+_*h+w*m,t[1]=b*i+x*l+_*f+w*g,t[2]=b*a+x*u+_*d+w*v,t[3]=b*o+x*c+_*p+w*y,b=r[4],x=r[5],_=r[6],w=r[7],t[4]=b*n+x*s+_*h+w*m,t[5]=b*i+x*l+_*f+w*g,t[6]=b*a+x*u+_*d+w*v,t[7]=b*o+x*c+_*p+w*y,b=r[8],x=r[9],_=r[10],w=r[11],t[8]=b*n+x*s+_*h+w*m,t[9]=b*i+x*l+_*f+w*g,t[10]=b*a+x*u+_*d+w*v,t[11]=b*o+x*c+_*p+w*y,b=r[12],x=r[13],_=r[14],w=r[15],t[12]=b*n+x*s+_*h+w*m,t[13]=b*i+x*l+_*f+w*g,t[14]=b*a+x*u+_*d+w*v,t[15]=b*o+x*c+_*p+w*y,t},i.multiply=n.USE_SIMD?i.SIMD.multiply:i.scalar.multiply,i.mul=i.multiply,i.scalar.translate=function(t,e,r){var n,i,a,o,s,l,u,c,h,f,d,p,m=r[0],g=r[1],v=r[2];return e===t?(t[12]=e[0]*m+e[4]*g+e[8]*v+e[12],t[13]=e[1]*m+e[5]*g+e[9]*v+e[13],t[14]=e[2]*m+e[6]*g+e[10]*v+e[14],t[15]=e[3]*m+e[7]*g+e[11]*v+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],h=e[8],f=e[9],d=e[10],p=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=u,t[7]=c,t[8]=h,t[9]=f,t[10]=d,t[11]=p,t[12]=n*m+s*g+h*v+e[12],t[13]=i*m+l*g+f*v+e[13],t[14]=a*m+u*g+d*v+e[14],t[15]=o*m+c*g+p*v+e[15]),t},i.SIMD.translate=function(t,e,r){var n=SIMD.Float32x4.load(e,0),i=SIMD.Float32x4.load(e,4),a=SIMD.Float32x4.load(e,8),o=SIMD.Float32x4.load(e,12),s=SIMD.Float32x4(r[0],r[1],r[2],0);e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11]),n=SIMD.Float32x4.mul(n,SIMD.Float32x4.swizzle(s,0,0,0,0)),i=SIMD.Float32x4.mul(i,SIMD.Float32x4.swizzle(s,1,1,1,1)),a=SIMD.Float32x4.mul(a,SIMD.Float32x4.swizzle(s,2,2,2,2));var l=SIMD.Float32x4.add(n,SIMD.Float32x4.add(i,SIMD.Float32x4.add(a,o)));return SIMD.Float32x4.store(t,12,l),t},i.translate=n.USE_SIMD?i.SIMD.translate:i.scalar.translate,i.scalar.scale=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t},i.SIMD.scale=function(t,e,r){var n,i,a,o=SIMD.Float32x4(r[0],r[1],r[2],0);return n=SIMD.Float32x4.load(e,0),SIMD.Float32x4.store(t,0,SIMD.Float32x4.mul(n,SIMD.Float32x4.swizzle(o,0,0,0,0))),i=SIMD.Float32x4.load(e,4),SIMD.Float32x4.store(t,4,SIMD.Float32x4.mul(i,SIMD.Float32x4.swizzle(o,1,1,1,1))),a=SIMD.Float32x4.load(e,8),SIMD.Float32x4.store(t,8,SIMD.Float32x4.mul(a,SIMD.Float32x4.swizzle(o,2,2,2,2))),t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t},i.scale=n.USE_SIMD?i.SIMD.scale:i.scalar.scale,i.rotate=function(t,e,r,i){var a,o,s,l,u,c,h,f,d,p,m,g,v,y,b,x,_,w,M,k,A,T,S,E,L=i[0],C=i[1],z=i[2],D=Math.sqrt(L*L+C*C+z*z);return Math.abs(D)<n.EPSILON?null:(D=1/D,L*=D,C*=D,z*=D,a=Math.sin(r),o=Math.cos(r),s=1-o,l=e[0],u=e[1],c=e[2],h=e[3],f=e[4],d=e[5],p=e[6],m=e[7],g=e[8],v=e[9],y=e[10],b=e[11],x=L*L*s+o,_=C*L*s+z*a,w=z*L*s-C*a,M=L*C*s-z*a,k=C*C*s+o,A=z*C*s+L*a,T=L*z*s+C*a,S=C*z*s-L*a,E=z*z*s+o,t[0]=l*x+f*_+g*w,t[1]=u*x+d*_+v*w,t[2]=c*x+p*_+y*w,t[3]=h*x+m*_+b*w,t[4]=l*M+f*k+g*A,t[5]=u*M+d*k+v*A,t[6]=c*M+p*k+y*A,t[7]=h*M+m*k+b*A,t[8]=l*T+f*S+g*E,t[9]=u*T+d*S+v*E,t[10]=c*T+p*S+y*E,t[11]=h*T+m*S+b*E,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t)},i.scalar.rotateX=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],u=e[8],c=e[9],h=e[10],f=e[11];return e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[4]=a*i+u*n,t[5]=o*i+c*n,t[6]=s*i+h*n,t[7]=l*i+f*n,t[8]=u*i-a*n,t[9]=c*i-o*n,t[10]=h*i-s*n,t[11]=f*i-l*n,t},i.SIMD.rotateX=function(t,e,r){var n=SIMD.Float32x4.splat(Math.sin(r)),i=SIMD.Float32x4.splat(Math.cos(r));e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);var a=SIMD.Float32x4.load(e,4),o=SIMD.Float32x4.load(e,8);return SIMD.Float32x4.store(t,4,SIMD.Float32x4.add(SIMD.Float32x4.mul(a,i),SIMD.Float32x4.mul(o,n))),SIMD.Float32x4.store(t,8,SIMD.Float32x4.sub(SIMD.Float32x4.mul(o,i),SIMD.Float32x4.mul(a,n))),t},i.rotateX=n.USE_SIMD?i.SIMD.rotateX:i.scalar.rotateX,i.scalar.rotateY=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[8],c=e[9],h=e[10],f=e[11];return e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i-u*n,t[1]=o*i-c*n,t[2]=s*i-h*n,t[3]=l*i-f*n,t[8]=a*n+u*i,t[9]=o*n+c*i,t[10]=s*n+h*i,t[11]=l*n+f*i,t},i.SIMD.rotateY=function(t,e,r){var n=SIMD.Float32x4.splat(Math.sin(r)),i=SIMD.Float32x4.splat(Math.cos(r));e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);var a=SIMD.Float32x4.load(e,0),o=SIMD.Float32x4.load(e,8);return SIMD.Float32x4.store(t,0,SIMD.Float32x4.sub(SIMD.Float32x4.mul(a,i),SIMD.Float32x4.mul(o,n))),SIMD.Float32x4.store(t,8,SIMD.Float32x4.add(SIMD.Float32x4.mul(a,n),SIMD.Float32x4.mul(o,i))),t},i.rotateY=n.USE_SIMD?i.SIMD.rotateY:i.scalar.rotateY,i.scalar.rotateZ=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[4],c=e[5],h=e[6],f=e[7];return e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i+u*n,t[1]=o*i+c*n,t[2]=s*i+h*n,t[3]=l*i+f*n,t[4]=u*i-a*n,t[5]=c*i-o*n,t[6]=h*i-s*n,t[7]=f*i-l*n,t},i.SIMD.rotateZ=function(t,e,r){var n=SIMD.Float32x4.splat(Math.sin(r)),i=SIMD.Float32x4.splat(Math.cos(r));e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);var a=SIMD.Float32x4.load(e,0),o=SIMD.Float32x4.load(e,4);return SIMD.Float32x4.store(t,0,SIMD.Float32x4.add(SIMD.Float32x4.mul(a,i),SIMD.Float32x4.mul(o,n))),SIMD.Float32x4.store(t,4,SIMD.Float32x4.sub(SIMD.Float32x4.mul(o,i),SIMD.Float32x4.mul(a,n))),t},i.rotateZ=n.USE_SIMD?i.SIMD.rotateZ:i.scalar.rotateZ,i.fromTranslation=function(t,e){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=e[0],t[13]=e[1],t[14]=e[2],t[15]=1,t},i.fromScaling=function(t,e){return t[0]=e[0],t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=e[1],t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=e[2],t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},i.fromRotation=function(t,e,r){var i,a,o,s=r[0],l=r[1],u=r[2],c=Math.sqrt(s*s+l*l+u*u);return Math.abs(c)<n.EPSILON?null:(c=1/c,s*=c,l*=c,u*=c,i=Math.sin(e),a=Math.cos(e),o=1-a,t[0]=s*s*o+a,t[1]=l*s*o+u*i,t[2]=u*s*o-l*i,t[3]=0,t[4]=s*l*o-u*i,t[5]=l*l*o+a,t[6]=u*l*o+s*i,t[7]=0,t[8]=s*u*o+l*i,t[9]=l*u*o-s*i,t[10]=u*u*o+a,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t)},i.fromXRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=n,t[6]=r,t[7]=0,t[8]=0,t[9]=-r,t[10]=n,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},i.fromYRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=0,t[2]=-r,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=r,t[9]=0,t[10]=n,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},i.fromZRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=r,t[2]=0,t[3]=0,t[4]=-r,t[5]=n,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},i.fromRotationTranslation=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,u=a+a,c=n*s,h=n*l,f=n*u,d=i*l,p=i*u,m=a*u,g=o*s,v=o*l,y=o*u;return t[0]=1-(d+m),t[1]=h+y,t[2]=f-v,t[3]=0,t[4]=h-y,t[5]=1-(c+m),t[6]=p+g,t[7]=0,t[8]=f+v,t[9]=p-g,t[10]=1-(c+d),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t},i.getTranslation=function(t,e){return t[0]=e[12],t[1]=e[13],t[2]=e[14],t},i.getRotation=function(t,e){var r=e[0]+e[5]+e[10],n=0;return r>0?(n=2*Math.sqrt(r+1),t[3]=.25*n,t[0]=(e[6]-e[9])/n,t[1]=(e[8]-e[2])/n,t[2]=(e[1]-e[4])/n):e[0]>e[5]&e[0]>e[10]?(n=2*Math.sqrt(1+e[0]-e[5]-e[10]),t[3]=(e[6]-e[9])/n,t[0]=.25*n,t[1]=(e[1]+e[4])/n,t[2]=(e[8]+e[2])/n):e[5]>e[10]?(n=2*Math.sqrt(1+e[5]-e[0]-e[10]),t[3]=(e[8]-e[2])/n,t[0]=(e[1]+e[4])/n,t[1]=.25*n,t[2]=(e[6]+e[9])/n):(n=2*Math.sqrt(1+e[10]-e[0]-e[5]),t[3]=(e[1]-e[4])/n,t[0]=(e[8]+e[2])/n,t[1]=(e[6]+e[9])/n,t[2]=.25*n),t},i.fromRotationTranslationScale=function(t,e,r,n){var i=e[0],a=e[1],o=e[2],s=e[3],l=i+i,u=a+a,c=o+o,h=i*l,f=i*u,d=i*c,p=a*u,m=a*c,g=o*c,v=s*l,y=s*u,b=s*c,x=n[0],_=n[1],w=n[2];return t[0]=(1-(p+g))*x,t[1]=(f+b)*x,t[2]=(d-y)*x,t[3]=0,t[4]=(f-b)*_,t[5]=(1-(h+g))*_,t[6]=(m+v)*_,t[7]=0,t[8]=(d+y)*w,t[9]=(m-v)*w,t[10]=(1-(h+p))*w,t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t},i.fromRotationTranslationScaleOrigin=function(t,e,r,n,i){var a=e[0],o=e[1],s=e[2],l=e[3],u=a+a,c=o+o,h=s+s,f=a*u,d=a*c,p=a*h,m=o*c,g=o*h,v=s*h,y=l*u,b=l*c,x=l*h,_=n[0],w=n[1],M=n[2],k=i[0],A=i[1],T=i[2];return t[0]=(1-(m+v))*_,t[1]=(d+x)*_,t[2]=(p-b)*_,t[3]=0,t[4]=(d-x)*w,t[5]=(1-(f+v))*w,t[6]=(g+y)*w,t[7]=0,t[8]=(p+b)*M,t[9]=(g-y)*M,t[10]=(1-(f+m))*M,t[11]=0,t[12]=r[0]+k-(t[0]*k+t[4]*A+t[8]*T),t[13]=r[1]+A-(t[1]*k+t[5]*A+t[9]*T),t[14]=r[2]+T-(t[2]*k+t[6]*A+t[10]*T),t[15]=1,t},i.fromQuat=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,u=r*o,c=n*o,h=n*s,f=i*o,d=i*s,p=i*l,m=a*o,g=a*s,v=a*l;return t[0]=1-h-p,t[1]=c+v,t[2]=f-g,t[3]=0,t[4]=c-v,t[5]=1-u-p,t[6]=d+m,t[7]=0,t[8]=f+g,t[9]=d-m,t[10]=1-u-h,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},i.frustum=function(t,e,r,n,i,a,o){var s=1/(r-e),l=1/(i-n),u=1/(a-o);return t[0]=2*a*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=2*a*l,t[6]=0,t[7]=0,t[8]=(r+e)*s,t[9]=(i+n)*l,t[10]=(o+a)*u,t[11]=-1,t[12]=0,t[13]=0,t[14]=o*a*2*u,t[15]=0,t},i.perspective=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t},i.perspectiveFromFieldOfView=function(t,e,r,n){var i=Math.tan(e.upDegrees*Math.PI/180),a=Math.tan(e.downDegrees*Math.PI/180),o=Math.tan(e.leftDegrees*Math.PI/180),s=Math.tan(e.rightDegrees*Math.PI/180),l=2/(o+s),u=2/(i+a);return t[0]=l,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=u,t[6]=0,t[7]=0,t[8]=-((o-s)*l)*.5,t[9]=(i-a)*u*.5,t[10]=n/(r-n),t[11]=-1,t[12]=0,t[13]=0,t[14]=n*r/(r-n),t[15]=0,t},i.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),u=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*u,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*u,t[15]=1,t},i.lookAt=function(t,e,r,a){var o,s,l,u,c,h,f,d,p,m,g=e[0],v=e[1],y=e[2],b=a[0],x=a[1],_=a[2],w=r[0],M=r[1],k=r[2];return Math.abs(g-w)<n.EPSILON&&Math.abs(v-M)<n.EPSILON&&Math.abs(y-k)<n.EPSILON?i.identity(t):(f=g-w,d=v-M,p=y-k,m=1/Math.sqrt(f*f+d*d+p*p),f*=m,d*=m,p*=m,o=x*p-_*d,s=_*f-b*p,l=b*d-x*f,m=Math.sqrt(o*o+s*s+l*l),m?(m=1/m,o*=m,s*=m,l*=m):(o=0,s=0,l=0),u=d*l-p*s,c=p*o-f*l,h=f*s-d*o,m=Math.sqrt(u*u+c*c+h*h),m?(m=1/m,u*=m,c*=m,h*=m):(u=0,c=0,h=0),t[0]=o,t[1]=u,t[2]=f,t[3]=0,t[4]=s,t[5]=c,t[6]=d,t[7]=0,t[8]=l,t[9]=h,t[10]=p,t[11]=0,t[12]=-(o*g+s*v+l*y),t[13]=-(u*g+c*v+h*y),t[14]=-(f*g+d*v+p*y),t[15]=1,t)},i.str=function(t){return\"mat4(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\", \"+t[9]+\", \"+t[10]+\", \"+t[11]+\", \"+t[12]+\", \"+t[13]+\", \"+t[14]+\", \"+t[15]+\")\"},i.frob=function(t){return Math.sqrt(Math.pow(t[0],2)+Math.pow(t[1],2)+Math.pow(t[2],2)+Math.pow(t[3],2)+Math.pow(t[4],2)+Math.pow(t[5],2)+Math.pow(t[6],2)+Math.pow(t[7],2)+Math.pow(t[8],2)+Math.pow(t[9],2)+Math.pow(t[10],2)+Math.pow(t[11],2)+Math.pow(t[12],2)+Math.pow(t[13],2)+Math.pow(t[14],2)+Math.pow(t[15],2))},i.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t[3]=e[3]+r[3],t[4]=e[4]+r[4],t[5]=e[5]+r[5],t[6]=e[6]+r[6],t[7]=e[7]+r[7],t[8]=e[8]+r[8],\n",
       "t[9]=e[9]+r[9],t[10]=e[10]+r[10],t[11]=e[11]+r[11],t[12]=e[12]+r[12],t[13]=e[13]+r[13],t[14]=e[14]+r[14],t[15]=e[15]+r[15],t},i.subtract=function(t,e,r){return t[0]=e[0]-r[0],t[1]=e[1]-r[1],t[2]=e[2]-r[2],t[3]=e[3]-r[3],t[4]=e[4]-r[4],t[5]=e[5]-r[5],t[6]=e[6]-r[6],t[7]=e[7]-r[7],t[8]=e[8]-r[8],t[9]=e[9]-r[9],t[10]=e[10]-r[10],t[11]=e[11]-r[11],t[12]=e[12]-r[12],t[13]=e[13]-r[13],t[14]=e[14]-r[14],t[15]=e[15]-r[15],t},i.sub=i.subtract,i.multiplyScalar=function(t,e,r){return t[0]=e[0]*r,t[1]=e[1]*r,t[2]=e[2]*r,t[3]=e[3]*r,t[4]=e[4]*r,t[5]=e[5]*r,t[6]=e[6]*r,t[7]=e[7]*r,t[8]=e[8]*r,t[9]=e[9]*r,t[10]=e[10]*r,t[11]=e[11]*r,t[12]=e[12]*r,t[13]=e[13]*r,t[14]=e[14]*r,t[15]=e[15]*r,t},i.multiplyScalarAndAdd=function(t,e,r,n){return t[0]=e[0]+r[0]*n,t[1]=e[1]+r[1]*n,t[2]=e[2]+r[2]*n,t[3]=e[3]+r[3]*n,t[4]=e[4]+r[4]*n,t[5]=e[5]+r[5]*n,t[6]=e[6]+r[6]*n,t[7]=e[7]+r[7]*n,t[8]=e[8]+r[8]*n,t[9]=e[9]+r[9]*n,t[10]=e[10]+r[10]*n,t[11]=e[11]+r[11]*n,t[12]=e[12]+r[12]*n,t[13]=e[13]+r[13]*n,t[14]=e[14]+r[14]*n,t[15]=e[15]+r[15]*n,t},i.exactEquals=function(t,e){return t[0]===e[0]&&t[1]===e[1]&&t[2]===e[2]&&t[3]===e[3]&&t[4]===e[4]&&t[5]===e[5]&&t[6]===e[6]&&t[7]===e[7]&&t[8]===e[8]&&t[9]===e[9]&&t[10]===e[10]&&t[11]===e[11]&&t[12]===e[12]&&t[13]===e[13]&&t[14]===e[14]&&t[15]===e[15]},i.equals=function(t,e){var r=t[0],i=t[1],a=t[2],o=t[3],s=t[4],l=t[5],u=t[6],c=t[7],h=t[8],f=t[9],d=t[10],p=t[11],m=t[12],g=t[13],v=t[14],y=t[15],b=e[0],x=e[1],_=e[2],w=e[3],M=e[4],k=e[5],A=e[6],T=e[7],S=e[8],E=e[9],L=e[10],C=e[11],z=e[12],D=e[13],I=e[14],P=e[15];return 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opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if(any(lessThan(f_data, clipBounds[0])) || \\n     any(greaterThan(f_data, clipBounds[1]))) {\\n    discard;\\n  }\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\",attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.pointShader={vertex:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if(any(lessThan(position, clipBounds[0])) || \\n     any(greaterThan(position, clipBounds[1]))) {\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\",fragment:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5,0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\",attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},r.pickShader={vertex:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}\",fragment:n,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},r.pointPickShader={vertex:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if(any(lessThan(position, clipBounds[0])) || \\n     any(greaterThan(position, clipBounds[1]))) {\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    gl_Position  = projection * view * model * vec4(position, 1.0);\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\",fragment:n,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},r.contourShader={vertex:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n}\",fragment:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor,1);\\n}\\n\",attributes:[{name:\"position\",type:\"vec3\"}]}},{}],189:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s,l,u,c,h,f,d,p,m,g,v,y,b,x,_,w,M,k,A,T){this.gl=t,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=c,this.triangleNormals=f,this.triangleUVs=h,this.triangleIds=u,this.triangleVAO=d,this.triangleCount=0,this.lineWidth=1,this.edgePositions=p,this.edgeColors=g,this.edgeUVs=v,this.edgeIds=m,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=b,this.pointColors=_,this.pointUVs=w,this.pointSizes=M,this.pointIds=x,this.pointVAO=k,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=A,this.contourVAO=T,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this._model=I,this._view=I,this._projection=I,this._resolution=[1,1]}function i(t){for(var e=w({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return _(r,[256,256,4],[4,0,1])}function a(t,e,r){for(var n=new Array(e),i=0;i<e;++i)n[i]=0;for(var a=t.length,i=0;i<a;++i)for(var o=t[i],s=0;s<o.length;++s)n[o[s]]=r[i];return n}function o(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}function s(t){var e=p(t,S);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function l(t){var e=p(t,E);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function u(t){var e=p(t,L);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function c(t){var e=p(t,C);return e.attributes.position.location=0,e.attributes.id.location=1,e}function h(t){var e=p(t,z);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function f(t){var e=p(t,D);return e.attributes.position.location=0,e}function d(t){var e=t.gl,r=s(e),i=l(e),a=u(e),o=c(e),d=h(e),p=f(e),y=v(e,_(new Uint8Array([255,255,255,255]),[1,1,4]));y.generateMipmap(),y.minFilter=e.LINEAR_MIPMAP_LINEAR,y.magFilter=e.LINEAR;var b=m(e),x=m(e),w=m(e),M=m(e),k=m(e),A=g(e,[{buffer:b,type:e.FLOAT,size:3},{buffer:k,type:e.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:x,type:e.FLOAT,size:4},{buffer:w,type:e.FLOAT,size:2},{buffer:M,type:e.FLOAT,size:3}]),T=m(e),S=m(e),E=m(e),L=m(e),C=g(e,[{buffer:T,type:e.FLOAT,size:3},{buffer:L,type:e.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:S,type:e.FLOAT,size:4},{buffer:E,type:e.FLOAT,size:2}]),z=m(e),D=m(e),I=m(e),P=m(e),O=m(e),j=g(e,[{buffer:z,type:e.FLOAT,size:3},{buffer:O,type:e.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:D,type:e.FLOAT,size:4},{buffer:I,type:e.FLOAT,size:2},{buffer:P,type:e.FLOAT,size:1}]),R=m(e),F=g(e,[{buffer:R,type:e.FLOAT,size:3}]),N=new n(e,y,r,i,a,o,d,p,b,k,x,w,M,A,T,L,S,E,C,z,O,D,I,P,j,R,F);return N.update(t),N}var p=t(\"gl-shader\"),m=t(\"gl-buffer\"),g=t(\"gl-vao\"),v=t(\"gl-texture2d\"),y=t(\"normals\"),b=t(\"gl-mat4/multiply\"),x=t(\"gl-mat4/invert\"),_=t(\"ndarray\"),w=t(\"colormap\"),M=t(\"simplicial-complex-contour\"),k=t(\"typedarray-pool\"),A=t(\"./lib/shaders\"),T=t(\"./lib/closest-point\"),S=A.meshShader,E=A.wireShader,L=A.pointShader,C=A.pickShader,z=A.pointPickShader,D=A.contourShader,I=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],P=n.prototype;P.isOpaque=function(){return this.opacity>=1},P.isTransparent=function(){return this.opacity<1},P.pickSlots=1,P.setPickBase=function(t){this.pickId=t},P.highlight=function(t){if(!t||!this.contourEnable)return void(this.contourCount=0);for(var e=M(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=k.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var u=r[l],c=0;c<2;++c){var h=u[0];2===u.length&&(h=u[c]);for(var f=n[h][0],d=n[h][1],p=i[h],m=1-p,g=this.positions[f],v=this.positions[d],y=0;y<3;++y)o[s++]=p*g[y]+m*v[y]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),k.free(o)},P.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=v(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(i(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var s=[],l=[],u=[],c=[],h=[],f=[],d=[],p=[],m=[],g=[],b=[],x=[],_=[],w=[];this.cells=r,this.positions=n;var M=t.vertexNormals,k=t.cellNormals,A=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,T=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!k&&(k=y.faceNormals(r,n,T)),k||M||(M=y.vertexNormals(r,n,A))\n",
       ";var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,z=t.vertexIntensity,D=t.cellUVs,I=t.cellIntensity,P=1/0,O=-1/0;if(!C&&!D)if(z)for(var j=0;j<z.length;++j){var R=z[j];P=Math.min(P,R),O=Math.max(O,R)}else if(I)for(var j=0;j<I.length;++j){var R=I[j];P=Math.min(P,R),O=Math.max(O,R)}else for(var j=0;j<n.length;++j){var R=n[j][2];P=Math.min(P,R),O=Math.max(O,R)}this.intensity=z||(I?a(r,n.length,I):o(n));var F=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(var j=0;j<n.length;++j)for(var B=n[j],U=0;U<3;++U)!isNaN(B[U])&&isFinite(B[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],B[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],B[U]));var V=0,H=0,q=0;t:for(var j=0;j<r.length;++j){var G=r[j];switch(G.length){case 1:for(var Y=G[0],B=n[Y],U=0;U<3;++U)if(isNaN(B[U])||!isFinite(B[U]))continue t;g.push(B[0],B[1],B[2]);var W;W=S?S[Y]:E?E[j]:L,3===W.length?b.push(W[0],W[1],W[2],1):b.push(W[0],W[1],W[2],W[3]);var X;X=C?C[Y]:z?[(z[Y]-P)/(O-P),0]:D?D[j]:I?[(I[j]-P)/(O-P),0]:[(B[2]-P)/(O-P),0],x.push(X[0],X[1]),F?_.push(F[Y]):_.push(N),w.push(j),q+=1;break;case 2:for(var U=0;U<2;++U)for(var Y=G[U],B=n[Y],Z=0;Z<3;++Z)if(isNaN(B[Z])||!isFinite(B[Z]))continue t;for(var U=0;U<2;++U){var Y=G[U],B=n[Y];f.push(B[0],B[1],B[2]);var W;W=S?S[Y]:E?E[j]:L,3===W.length?d.push(W[0],W[1],W[2],1):d.push(W[0],W[1],W[2],W[3]);var X;X=C?C[Y]:z?[(z[Y]-P)/(O-P),0]:D?D[j]:I?[(I[j]-P)/(O-P),0]:[(B[2]-P)/(O-P),0],p.push(X[0],X[1]),m.push(j)}H+=1;break;case 3:for(var U=0;U<3;++U)for(var Y=G[U],B=n[Y],Z=0;Z<3;++Z)if(isNaN(B[Z])||!isFinite(B[Z]))continue t;for(var U=0;U<3;++U){var Y=G[U],B=n[Y];s.push(B[0],B[1],B[2]);var W;W=S?S[Y]:E?E[j]:L,3===W.length?l.push(W[0],W[1],W[2],1):l.push(W[0],W[1],W[2],W[3]);var X;X=C?C[Y]:z?[(z[Y]-P)/(O-P),0]:D?D[j]:I?[(I[j]-P)/(O-P),0]:[(B[2]-P)/(O-P),0],c.push(X[0],X[1]);var J;J=M?M[Y]:k[j],u.push(J[0],J[1],J[2]),h.push(j)}V+=1}}this.pointCount=q,this.edgeCount=H,this.triangleCount=V,this.pointPositions.update(g),this.pointColors.update(b),this.pointUVs.update(x),this.pointSizes.update(_),this.pointIds.update(new Uint32Array(w)),this.edgePositions.update(f),this.edgeColors.update(d),this.edgeUVs.update(p),this.edgeIds.update(new Uint32Array(m)),this.trianglePositions.update(s),this.triangleColors.update(l),this.triangleUVs.update(c),this.triangleNormals.update(u),this.triangleIds.update(new Uint32Array(h))}},P.drawTransparent=P.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||I,n=t.view||I,i=t.projection||I,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,contourColor:this.contourColor,texture:0};this.texture.bind(0);var l=new Array(16);b(l,s.view,s.model),b(l,s.projection,l),x(l,l);for(var o=0;o<3;++o)s.eyePosition[o]=l[12+o]/l[15];for(var u=l[15],o=0;o<3;++o)u+=this.lightPosition[o]*l[4*o+3];for(var o=0;o<3;++o){for(var c=l[12+o],h=0;h<3;++h)c+=l[4*h+o]*this.lightPosition[h];s.lightPosition[o]=c/u}if(this.triangleCount>0){var f=this.triShader;f.bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}if(this.edgeCount>0&&this.lineWidth>0){var f=this.lineShader;f.bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()}if(this.pointCount>0){var f=this.pointShader;f.bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()}if(this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0){var f=this.contourShader;f.bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind()}},P.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||I,n=t.view||I,i=t.projection||I,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255},l=this.pickShader;if(l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0){var l=this.pointPickShader;l.bind(),l.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()}},P.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=T(i,[t.coord[0],this._resolution[1]-t.coord[1]],this._model,this._view,this._projection,this._resolution);if(!o)return null;for(var s=o[2],l=0,a=0;a<r.length;++a)l+=s[a]*this.intensity[r[a]];return{position:o[1],index:r[o[0]],cell:r,cellId:e,intensity:l,dataCoordinate:this.positions[r[o[0]]]}},P.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},e.exports=d},{\"./lib/closest-point\":187,\"./lib/shaders\":188,colormap:92,\"gl-buffer\":141,\"gl-mat4/invert\":165,\"gl-mat4/multiply\":167,\"gl-shader\":239,\"gl-texture2d\":251,\"gl-vao\":255,ndarray:449,normals:451,\"simplicial-complex-contour\":498,\"typedarray-pool\":521}],190:[function(t,e,r){\"use strict\";function n(t,e,r){this.plot=t,this.vbo=e,this.shader=r}function i(t){var e=t.gl;return new n(t,a(e,[0,0,0,1,1,0,1,1]),o(e,s.boxVert,s.lineFrag))}e.exports=i;var a=t(\"gl-buffer\"),o=t(\"gl-shader\"),s=t(\"./shaders\"),l=n.prototype;l.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},l.drawBox=function(){var t=[0,0],e=[0,0];return function(r,n,i,a,o){var s=this.plot,l=this.shader,u=s.gl;t[0]=r,t[1]=n,e[0]=i,e[1]=a,l.uniforms.lo=t,l.uniforms.hi=e,l.uniforms.color=o,u.drawArrays(u.TRIANGLE_STRIP,0,4)}}(),l.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":193,\"gl-buffer\":141,\"gl-shader\":196}],191:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function i(t,e){return t-e}function a(t){var e=t.gl;return new n(t,o(e),s(e,u.gridVert,u.gridFrag),s(e,u.tickVert,u.gridFrag))}e.exports=a;var o=t(\"gl-buffer\"),s=t(\"gl-shader\"),l=t(\"binary-search-bounds\"),u=t(\"./shaders\"),c=n.prototype;c.draw=function(){var t=[0,0],e=[0,0],r=[0,0];return function(){for(var n=this.plot,i=this.vbo,a=this.shader,o=this.ticks,s=n.gl,l=n._tickBounds,u=n.dataBox,c=n.viewBox,h=n.gridLineWidth,f=n.gridLineColor,d=n.gridLineEnable,p=n.pixelRatio,m=0;m<2;++m){var g=l[m],v=l[m+2],y=v-g,b=.5*(u[m+2]+u[m]),x=u[m+2]-u[m];e[m]=2*y/x,t[m]=2*(g-b)/x}a.bind(),i.bind(),a.attributes.dataCoord.pointer(),a.uniforms.dataShift=t,a.uniforms.dataScale=e;for(var _=0,m=0;m<2;++m){r[0]=r[1]=0,r[m]=1,a.uniforms.dataAxis=r,a.uniforms.lineWidth=h[m]/(c[m+2]-c[m])*p,a.uniforms.color=f[m];var w=6*o[m].length;d[m]&&w&&s.drawArrays(s.TRIANGLES,_,w),_+=w}}}(),c.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],a=[0,0],o=[0,0];return function(){for(var s=this.plot,u=this.vbo,c=this.tickShader,h=this.ticks,f=s.gl,d=s._tickBounds,p=s.dataBox,m=s.viewBox,g=s.pixelRatio,v=s.screenBox,y=v[2]-v[0],b=v[3]-v[1],x=m[2]-m[0],_=m[3]-m[1],w=0;w<2;++w){var M=d[w],k=d[w+2],A=k-M,T=.5*(p[w+2]+p[w]),S=p[w+2]-p[w];e[w]=2*A/S,t[w]=2*(M-T)/S}e[0]*=x/y,t[0]*=x/y,e[1]*=_/b,t[1]*=_/b,c.bind(),u.bind(),c.attributes.dataCoord.pointer();var E=c.uniforms;E.dataShift=t,E.dataScale=e;var L=s.tickMarkLength,C=s.tickMarkWidth,z=s.tickMarkColor,D=6*h[0].length,I=Math.min(l.ge(h[0],(p[0]-d[0])/(d[2]-d[0]),i),h[0].length),P=Math.min(l.gt(h[0],(p[2]-d[0])/(d[2]-d[0]),i),h[0].length),O=0+6*I,j=6*Math.max(0,P-I),R=Math.min(l.ge(h[1],(p[1]-d[1])/(d[3]-d[1]),i),h[1].length),F=Math.min(l.gt(h[1],(p[3]-d[1])/(d[3]-d[1]),i),h[1].length),N=D+6*R,B=6*Math.max(0,F-R);a[0]=2*(m[0]-L[1])/y-1,a[1]=(m[3]+m[1])/b-1,o[0]=L[1]*g/y,o[1]=C[1]*g/b,B&&(E.color=z[1],E.tickScale=o,E.dataAxis=n,E.screenOffset=a,f.drawArrays(f.TRIANGLES,N,B)),a[0]=(m[2]+m[0])/y-1,a[1]=2*(m[1]-L[0])/b-1,o[0]=C[0]*g/y,o[1]=L[0]*g/b,j&&(E.color=z[0],E.tickScale=o,E.dataAxis=r,E.screenOffset=a,f.drawArrays(f.TRIANGLES,O,j)),a[0]=2*(m[2]+L[3])/y-1,a[1]=(m[3]+m[1])/b-1,o[0]=L[3]*g/y,o[1]=C[3]*g/b,B&&(E.color=z[3],E.tickScale=o,E.dataAxis=n,E.screenOffset=a,f.drawArrays(f.TRIANGLES,N,B)),a[0]=(m[2]+m[0])/y-1,a[1]=2*(m[3]+L[2])/b-1,o[0]=C[2]*g/y,o[1]=L[2]*g/b,j&&(E.color=z[2],E.tickScale=o,E.dataAxis=r,E.screenOffset=a,f.drawArrays(f.TRIANGLES,O,j))}}(),c.update=function(){var 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t=[0,0],e=[0,0];return function(r,n,i,a,o,s){var l=this.plot,u=this.shader,c=l.gl;t[0]=r,t[1]=n,e[0]=i,e[1]=a,u.uniforms.start=t,u.uniforms.end=e,u.uniforms.width=o*l.pixelRatio,u.uniforms.color=s,c.drawArrays(c.TRIANGLE_STRIP,0,4)}}(),l.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":193,\"gl-buffer\":141,\"gl-shader\":196}],193:[function(t,e,r){\"use strict\";var n=\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\";e.exports={lineVert:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * 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a=t(\"gl-buffer\"),o=t(\"gl-shader\"),s=t(\"text-cache\"),l=t(\"binary-search-bounds\"),u=t(\"./shaders\"),c=n.prototype;c.drawTicks=function(){var t=[0,0],e=[0,0],r=[0,0];return function(n){var i=this.plot,a=this.shader,o=this.tickX[n],s=this.tickOffset[n],u=i.gl,c=i.viewBox,h=i.dataBox,f=i.screenBox,d=i.pixelRatio,p=i.tickEnable,m=i.tickPad,g=i.tickColor,v=i.tickAngle,y=i.labelEnable,b=i.labelPad,x=i.labelColor,_=i.labelAngle,w=this.labelOffset[n],M=this.labelCount[n],k=l.lt(o,h[n]),A=l.le(o,h[n+2]);t[0]=t[1]=0,t[n]=1,e[n]=(c[2+n]+c[n])/(f[2+n]-f[n])-1;var T=2/f[2+(1^n)]-f[1^n];e[1^n]=T*c[1^n]-1,p[n]&&(e[1^n]-=T*d*m[n],k<A&&s[A]>s[k]&&(a.uniforms.dataAxis=t,a.uniforms.screenOffset=e,a.uniforms.color=g[n],a.uniforms.angle=v[n],u.drawArrays(u.TRIANGLES,s[k],s[A]-s[k]))),y[n]&&M&&(e[1^n]-=T*d*b[n],a.uniforms.dataAxis=r,a.uniforms.screenOffset=e,a.uniforms.color=x[n],a.uniforms.angle=_[n],u.drawArrays(u.TRIANGLES,w,M)),e[1^n]=T*c[2+(1^n)]-1,p[n+2]&&(e[1^n]+=T*d*m[n+2],k<A&&s[A]>s[k]&&(a.uniforms.dataAxis=t,a.uniforms.screenOffset=e,a.uniforms.color=g[n+2],a.uniforms.angle=v[n+2],u.drawArrays(u.TRIANGLES,s[k],s[A]-s[k]))),y[n+2]&&M&&(e[1^n]+=T*d*b[n+2],a.uniforms.dataAxis=r,a.uniforms.screenOffset=e,a.uniforms.color=x[n+2],a.uniforms.angle=_[n+2],u.drawArrays(u.TRIANGLES,w,M))}}(),c.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,u=r.pixelRatio;if(this.titleCount){for(var 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t=this.gl.lastAttribCount,e=0;e<t;e++)this.gl.disableVertexAttribArray(e);this.gl.lastAttribCount=0,this._fref&&this._fref.dispose(),this._vref&&this._vref.dispose(),this.attributes=this.types=this.vertShader=this.fragShader=this.program=this._relink=this._fref=this._vref=null},f.update=function(t,e,r,n){function a(){d.program=u.program(p,d._vref,d._fref,_,w);for(var t=0;t<r.length;++t)E[t]=p.getUniformLocation(d.program,r[t].name)}if(!e||1===arguments.length){var f=t;t=f.vertex,e=f.fragment,r=f.uniforms,n=f.attributes}var d=this,p=d.gl,m=d._vref;d._vref=u.shader(p,p.VERTEX_SHADER,t),m&&m.dispose(),d.vertShader=d._vref.shader;var g=this._fref;if(d._fref=u.shader(p,p.FRAGMENT_SHADER,e),g&&g.dispose(),d.fragShader=d._fref.shader,!r||!n){var v=p.createProgram();if(p.attachShader(v,d.fragShader),p.attachShader(v,d.vertShader),p.linkProgram(v),!p.getProgramParameter(v,p.LINK_STATUS)){var y=p.getProgramInfoLog(v);throw new h(y,\"Error linking 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gl.vertexAttrib\"+a+\"fv(v,x0)}\");var h=Function.apply(null,l),f=new n(t,e,r,i,a,h);Object.defineProperty(o,s,{set:function(e){return t.disableVertexAttribArray(i[r]),h(t,i[r],e),e},get:function(){return f},enumerable:!0})}function a(t,e,r,n,a,o,s){for(var l=new Array(a),u=new Array(a),c=0;c<a;++c)i(t,e,r[c],n,a,l,c),u[c]=l[c];Object.defineProperty(l,\"location\",{set:function(t){if(Array.isArray(t))for(var e=0;e<a;++e)u[e].location=t[e];else for(var e=0;e<a;++e)u[e].location=t+e;return t},get:function(){for(var t=new Array(a),e=0;e<a;++e)t[e]=n[r[e]];return t},enumerable:!0}),l.pointer=function(e,i,o,s){e=e||t.FLOAT,i=!!i,o=o||a*a,s=s||0;for(var l=0;l<a;++l){var u=n[r[l]];t.vertexAttribPointer(u,a,e,i,o,s+l*a),t.enableVertexAttribArray(u)}};var h=new Array(a),f=t[\"vertexAttrib\"+a+\"fv\"];Object.defineProperty(o,s,{set:function(e){for(var i=0;i<a;++i){var o=n[r[i]];if(t.disableVertexAttribArray(o),Array.isArray(e[0]))f.call(t,o,e[i]);else{for(var 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n=t.createShader(e);if(t.shaderSource(n,r),t.compileShader(n),!t.getShaderParameter(n,t.COMPILE_STATUS)){var i=t.getShaderInfoLog(n);try{var a=h(i,r,e)}catch(t){throw console.warn(\"Failed to format compiler error: \"+t),new c(i,\"Error compiling shader:\\n\"+i)}throw new c(i,a.short,a.long)}return n}function o(t,e,r,n,i){var a=t.createProgram();t.attachShader(a,e),t.attachShader(a,r);for(var o=0;o<n.length;++o)t.bindAttribLocation(a,i[o],n[o]);if(t.linkProgram(a),!t.getProgramParameter(a,t.LINK_STATUS)){var s=t.getProgramInfoLog(a);throw new c(s,\"Error linking program: \"+s)}return a}function s(t){var e=d.get(t);return e||(e=new i(t),d.set(t,e)),e}function l(t,e,r){return s(t).getShaderReference(e,r)}function u(t,e,r,n,i){return s(t).getProgram(e,r,n,i)}r.shader=l,r.program=u;var c=t(\"./GLError\"),h=t(\"gl-format-compiler-error\"),f=\"undefined\"==typeof WeakMap?t(\"weakmap-shim\"):WeakMap,d=new f,p=0;n.prototype.dispose=function(){if(0==--this.count){for(var t=this.cache,e=t.gl,r=this.programs,n=0,i=r.length;n<i;++n){var a=t.programs[r[n]];a&&(delete t.programs[n],e.deleteProgram(a))}e.deleteShader(this.shader),delete t.shaders[this.type===e.FRAGMENT_SHADER|0][this.src]}};var m=i.prototype;m.getShaderReference=function(t,e){var r=this.gl,i=this.shaders[t===r.FRAGMENT_SHADER|0],o=i[e];if(o&&r.isShader(o.shader))o.count+=1;else{var s=a(r,t,e);o=i[e]=new n(p++,e,t,s,[],1,this)}return o},m.getProgram=function(t,e,r,n){var i=[t.id,e.id,r.join(\":\"),n.join(\":\")].join(\"@\"),a=this.programs[i];return a&&this.gl.isProgram(a)||(this.programs[i]=a=o(this.gl,t.shader,e.shader,r,n),t.programs.push(i),e.programs.push(i)),a}},{\"./GLError\":197,\"gl-format-compiler-error\":149,\"weakmap-shim\":542}],203:[function(t,e,r){\"use strict\";function 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t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var u=this.borderColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT),t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var c=this.backgroundColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var h=this.zeroLineEnable,f=this.zeroLineColor,d=this.zeroLineWidth;if(h[0]||h[1]){o.bind();for(var p=0;p<2;++p)if(h[p]&&n[p]<=0&&n[p+2]>=0){var m=e[p]-n[p]*(e[p+2]-e[p])/(n[p+2]-n[p]);0===p?o.drawLine(m,e[1],m,e[3],d[p],f[p]):o.drawLine(e[0],m,e[2],m,d[p],f[p])}}for(var p=0;p<l.length;++p)l[p].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,v=this.borderLineWidth,y=this.borderLineColor;g[1]&&o.drawLine(r[0],r[1]-.5*v[1]*i,r[0],r[3]+.5*v[3]*i,v[1],y[1]),g[0]&&o.drawLine(r[0]-.5*v[0]*i,r[1],r[2]+.5*v[2]*i,r[1],v[0],y[0]),\n",
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e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},f.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},f.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},f.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]);this.screenBox;this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,o=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/o,10,10/o]),this.borderColor=(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=i(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=i(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=i(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t&&!t.titleEnable),this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=i(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=i(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=i(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var s=t.ticks||[[],[]],l=this._tickBounds;l[0]=l[1]=1/0,l[2]=l[3]=-1/0;for(var u=0;u<2;++u){var c=s[u].slice(0);0!==c.length&&(c.sort(a),l[u]=Math.min(l[u],c[0].x),l[u+2]=Math.max(l[u+2],c[c.length-1].x))}this.grid.update({bounds:l,ticks:s}),this.text.update({bounds:l,ticks:s,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\"}),this.static=!!t.static,this.setDirty()},f.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();this.objects.length=0;for(var t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},f.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},f.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},f.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},f.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},{\"./lib/box\":190,\"./lib/grid\":191,\"./lib/line\":192,\"./lib/text\":194,\"gl-select-static\":238}],204:[function(t,e,r){var n=t(\"gl-shader\");e.exports=function(t){return n(t,\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\",\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\",null,[{name:\"position\",type:\"vec2\"}])}},{\"gl-shader\":239}],205:[function(t,e,r){\"use strict\";function n(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function i(t,e){var r=null;try{r=t.getContext(\"webgl\",e),r||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}function a(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){var r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function o(t){return\"boolean\"!=typeof t||t}function s(t){function e(){if(!w&&G.autoResize){var t=M.parentNode,e=1,r=1;t&&t!==document.body?(e=t.clientWidth,r=t.clientHeight):(e=window.innerWidth,r=window.innerHeight);var n=0|Math.ceil(e*G.pixelRatio),i=0|Math.ceil(r*G.pixelRatio);if(n!==M.width||i!==M.height){M.width=n,M.height=i;var a=M.style;a.position=a.position||\"absolute\",a.left=\"0px\",a.top=\"0px\",a.width=e+\"px\",a.height=r+\"px\",N=!0}}}function r(){for(var t=O.length,e=F.length,r=0;r<e;++r)R[r]=0;t:for(var r=0;r<t;++r){var n=O[r],i=n.pickSlots;if(i){for(var a=0;a<e;++a)if(R[a]+i<255){j[r]=a,n.setPickBase(R[a]+1),R[a]+=i;continue t}var o=f(A,q);j[r]=e,F.push(o),R.push(i),n.setPickBase(1),e+=1}else j[r]=-1}for(;e>0&&0===R[e-1];)R.pop(),F.pop().dispose()}function s(){if(G.contextLost)return!0;A.isContextLost()&&(G.contextLost=!0,G.mouseListener.enabled=!1,G.selection.object=null,G.oncontextloss&&G.oncontextloss())}function b(){if(!s()){A.colorMask(!0,!0,!0,!0),A.depthMask(!0),A.disable(A.BLEND),A.enable(A.DEPTH_TEST);for(var t=O.length,e=F.length,r=0;r<e;++r){var n=F[r];n.shape=Y,n.begin();for(var i=0;i<t;++i)if(j[i]===r){var a=O[i];a.drawPick&&(a.pixelRatio=1,a.drawPick(H))}n.end()}}}function x(){if(!s()){e();var t=G.camera.tick();H.view=G.camera.matrix,N=N||t,B=B||t,D.pixelRatio=G.pixelRatio,P.pixelRatio=G.pixelRatio;var r=O.length,n=Z[0],i=Z[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<r;++o){var l=O[o];l.pixelRatio=G.pixelRatio,l.axes=G.axes,N=N||!!l.dirty,B=B||!!l.dirty;var u=l.bounds;if(u)for(var h=u[0],f=u[1],d=0;d<3;++d)n[d]=Math.min(n[d],h[d]),i[d]=Math.max(i[d],f[d])}var m=G.bounds;if(G.autoBounds)for(var d=0;d<3;++d){if(i[d]<n[d])n[d]=-1,i[d]=1;else{n[d]===i[d]&&(n[d]-=1,i[d]+=1);var v=.05*(i[d]-n[d]);n[d]=n[d]-v,i[d]=i[d]+v}m[0][d]=n[d],m[1][d]=i[d]}for(var y=!1,d=0;d<3;++d)y=y||J[0][d]!==m[0][d]||J[1][d]!==m[1][d],J[0][d]=m[0][d],J[1][d]=m[1][d];if(B=B||y,N=N||y){if(y){for(var x=[0,0,0],o=0;o<3;++o)x[o]=a((m[1][o]-m[0][o])/10);D.autoTicks?D.update({bounds:m,tickSpacing:x}):D.update({bounds:m})}var _=A.drawingBufferWidth,w=A.drawingBufferHeight;q[0]=_,q[1]=w,Y[0]=0|Math.max(_/G.pixelRatio,1),Y[1]=0|Math.max(w/G.pixelRatio,1),g(U,G.fovy,_/w,G.zNear,G.zFar);for(var o=0;o<16;++o)V[o]=0;V[15]=1;for(var M=0,o=0;o<3;++o)M=Math.max(M,m[1][o]-m[0][o]);for(var o=0;o<3;++o)G.autoScale?V[5*o]=G.aspect[o]/(m[1][o]-m[0][o]):V[5*o]=1/M,G.autoCenter&&(V[12+o]=.5*-V[5*o]*(m[0][o]+m[1][o]));for(var o=0;o<r;++o){var l=O[o];l.axesBounds=m,G.clipToBounds&&(l.clipBounds=m)}S.object&&(G.snapToData?P.position=S.dataCoordinate:P.position=S.dataPosition,P.bounds=m),B&&(B=!1,b()),G.axesPixels=c(G.axes,H,_,w),G.onrender&&G.onrender(),A.bindFramebuffer(A.FRAMEBUFFER,null),A.viewport(0,0,_,w);var k=G.clearColor;A.clearColor(k[0],k[1],k[2],k[3]),A.clear(A.COLOR_BUFFER_BIT|A.DEPTH_BUFFER_BIT),A.depthMask(!0),A.colorMask(!0,!0,!0,!0),A.enable(A.DEPTH_TEST),A.depthFunc(A.LEQUAL),A.disable(A.BLEND),A.disable(A.CULL_FACE);var T=!1;D.enable&&(T=T||D.isTransparent(),D.draw(H)),P.axes=D,S.object&&P.draw(H),A.disable(A.CULL_FACE);for(var o=0;o<r;++o){var l=O[o];l.axes=D,l.pixelRatio=G.pixelRatio,l.isOpaque&&l.isOpaque()&&l.draw(H),l.isTransparent&&l.isTransparent()&&(T=!0)}if(T){E.shape=q,E.bind(),A.clear(A.DEPTH_BUFFER_BIT),A.colorMask(!1,!1,!1,!1),A.depthMask(!0),A.depthFunc(A.LESS),D.enable&&D.isTransparent()&&D.drawTransparent(H);for(var o=0;o<r;++o){var l=O[o];l.isOpaque&&l.isOpaque()&&l.draw(H)}A.enable(A.BLEND),A.blendEquation(A.FUNC_ADD),A.blendFunc(A.ONE,A.ONE_MINUS_SRC_ALPHA),A.colorMask(!0,!0,!0,!0),A.depthMask(!1),A.clearColor(0,0,0,0),A.clear(A.COLOR_BUFFER_BIT),D.isTransparent()&&D.drawTransparent(H);for(var o=0;o<r;++o){var l=O[o];l.isTransparent&&l.isTransparent()&&l.drawTransparent(H)}A.bindFramebuffer(A.FRAMEBUFFER,null),A.blendFunc(A.ONE,A.ONE_MINUS_SRC_ALPHA),A.disable(A.DEPTH_TEST),L.bind(),E.color[0].bind(0),L.uniforms.accumBuffer=0,p(A),A.disable(A.BLEND)}N=!1;for(var o=0;o<r;++o)O[o].dirty=!1}}}function _(){w||G.contextLost||(requestAnimationFrame(_),x())}t=t||{};var w=!1,M=(t.pixelRatio||parseFloat(window.devicePixelRatio),t.canvas);if(!M)if(M=document.createElement(\"canvas\"),t.container){var k=t.container;k.appendChild(M)}else document.body.appendChild(M);var A=t.gl;if(A||(A=i(M,t.glOptions||{premultipliedAlpha:!0,antialias:!0})),!A)throw new Error(\"webgl not supported\");var T=t.bounds||[[-10,-10,-10],[10,10,10]],S=new n,E=d(A,[A.drawingBufferWidth,A.drawingBufferHeight],{preferFloat:!y}),L=v(A),C=t.camera||{eye:[2,0,0],center:[0,0,0],up:[0,1,0],zoomMin:.1,zoomMax:100,mode:\"turntable\"},z=t.axes||{},D=u(A,z);D.enable=!z.disable;var I=t.spikes||{},P=h(A,I),O=[],j=[],R=[],F=[],N=!0,B=!0,U=new Array(16),V=new Array(16),H={view:null,projection:U,model:V},B=!0,q=[A.drawingBufferWidth,A.drawingBufferHeight],G={gl:A,contextLost:!1,pixelRatio:t.pixelRatio||parseFloat(window.devicePixelRatio),canvas:M,selection:S,camera:l(M,C),axes:D,axesPixels:null,spikes:P,bounds:T,objects:O,shape:q,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:o(t.autoResize),autoBounds:o(t.autoBounds),autoScale:!!t.autoScale,autoCenter:o(t.autoCenter),clipToBounds:o(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:H,oncontextloss:null,mouseListener:null},Y=[A.drawingBufferWidth/G.pixelRatio|0,A.drawingBufferHeight/G.pixelRatio|0];G.autoResize&&e(),window.addEventListener(\"resize\",e),G.update=function(t){w||(t=t||{},N=!0,B=!0)},G.add=function(t){w||(t.axes=D,O.push(t),j.push(-1),N=!0,B=!0,r())},G.remove=function(t){if(!w){var e=O.indexOf(t);e<0||(O.splice(e,1),j.pop(),N=!0,B=!0,r())}},G.dispose=function(){if(!w&&(w=!0,window.removeEventListener(\"resize\",e),M.removeEventListener(\"webglcontextlost\",s),G.mouseListener.enabled=!1,!G.contextLost)){D.dispose(),P.dispose();for(var t=0;t<O.length;++t)O[t].dispose();E.dispose();for(var t=0;t<F.length;++t)F[t].dispose();L.dispose(),A=null,D=null,P=null,O=[]}};var W=!1,X=0;G.mouseListener=m(M,function(t,e,r){if(!w){var n=F.length,i=O.length,a=S.object;S.distance=1/0,S.mouse[0]=e,S.mouse[1]=r,S.object=null,S.screen=null,S.dataCoordinate=S.dataPosition=null;var o=!1;if(t&&X)W=!0;else{W&&(B=!0),W=!1;for(var s=0;s<n;++s){var l=F[s].query(e,Y[1]-r-1,G.pickRadius);if(l){if(l.distance>S.distance)continue;for(var u=0;u<i;++u){var c=O[u];if(j[u]===s){var h=c.pick(l);h&&(S.buttons=t,S.screen=l.coord,S.distance=l.distance,S.object=c,S.index=h.distance,S.dataPosition=h.position,S.dataCoordinate=h.dataCoordinate,S.data=h,o=!0)}}}}}a&&a!==S.object&&(a.highlight&&a.highlight(null),N=!0),S.object&&(S.object.highlight&&S.object.highlight(S.data),N=!0),o=o||S.object!==a,o&&G.onselect&&G.onselect(S),1&t&&!(1&X)&&G.onclick&&G.onclick(S),X=t}}),M.addEventListener(\"webglcontextlost\",s);var Z=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],J=[Z[0].slice(),Z[1].slice()];return _(),G.redraw=function(){w||(N=!0,x())},G}e.exports=s;var l=t(\"3d-view-controls\"),u=t(\"gl-axes3d\"),c=t(\"gl-axes3d/properties\"),h=t(\"gl-spikes3d\"),f=t(\"gl-select-static\"),d=t(\"gl-fbo\"),p=t(\"a-big-triangle\"),m=t(\"mouse-change\"),g=t(\"gl-mat4/perspective\"),v=t(\"./lib/shader\"),y=t(\"is-mobile\")()},{\"./lib/shader\":204,\"3d-view-controls\":32,\"a-big-triangle\":34,\"gl-axes3d\":133,\"gl-axes3d/properties\":140,\"gl-fbo\":148,\"gl-mat4/perspective\":168,\"gl-select-static\":238,\"gl-spikes3d\":248,\"is-mobile\":278,\"mouse-change\":434}],206:[function(t,e,r){r.pointVertex=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\",r.pointFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\",r.pickVertex=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\",r.pickFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"},{}],207:[function(t,e,r){arguments[4][196][0].apply(r,arguments)},{\"./lib/GLError\":208,\"./lib/create-attributes\":209,\"./lib/create-uniforms\":210,\"./lib/reflect\":211,\"./lib/runtime-reflect\":212,\"./lib/shader-cache\":213,dup:196}],208:[function(t,e,r){arguments[4][197][0].apply(r,arguments)},{dup:197}],209:[function(t,e,r){arguments[4][198][0].apply(r,arguments)},{\"./GLError\":208,dup:198}],210:[function(t,e,r){arguments[4][199][0].apply(r,arguments)},{\"./GLError\":208,\"./reflect\":211,dup:199}],211:[function(t,e,r){arguments[4][200][0].apply(r,arguments)},{dup:200}],212:[function(t,e,r){arguments[4][201][0].apply(r,arguments)},{dup:201}],213:[function(t,e,r){arguments[4][202][0].apply(r,arguments)},{\"./GLError\":208,dup:202,\"gl-format-compiler-error\":149,\"weakmap-shim\":542}],214:[function(t,e,r){\"use strict\";function n(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}function i(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}function a(t,e){var r=t.gl,i=s(r),a=s(r),l=o(r,u.pointVertex,u.pointFragment),c=o(r,u.pickVertex,u.pickFragment),h=new n(t,i,a,l,c);return h.update(e),t.addObject(h),h}var o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"typedarray-pool\"),u=t(\"./lib/shader\");e.exports=a;var c=n.prototype;c.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},c.update=function(t){function e(e,r){return e in t?t[e]:r}var r;t=t||{},this.sizeMin=e(\"sizeMin\",.5),this.sizeMax=e(\"sizeMax\",20),this.color=e(\"color\",[1,0,0,1]).slice(),this.areaRatio=e(\"areaRatio\",1),this.borderColor=e(\"borderColor\",[0,0,0,1]).slice(),this.blend=e(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,a=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,o=t.positions,s=i?o:l.mallocFloat32(o.length),u=a?t.idToIndex:l.mallocInt32(n);if(i||s.set(o),!a)for(s.set(o),r=0;r<n;r++)u[r]=r;this.points=o,this.offsetBuffer.update(s),this.pickBuffer.update(u),i||l.free(s),a||l.free(u),this.pointCount=n,this.pickOffset=0},c.unifiedDraw=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=void 0!==r,a=n?this.pickShader:this.shader,o=this.plot.gl,s=this.plot.dataBox;if(0===this.pointCount)return r;var l=s[2]-s[0],u=s[3]-s[1],c=i(this.points,s),h=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(c,.33333)));t[0]=2/l,t[4]=2/u,t[6]=-2*s[0]/l-1,t[7]=-2*s[1]/u-1,this.offsetBuffer.bind(),a.bind(),a.attributes.position.pointer(),a.uniforms.matrix=t,a.uniforms.color=this.color,a.uniforms.borderColor=this.borderColor,a.uniforms.pointCloud=h<5,a.uniforms.pointSize=h,a.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),n&&(e[0]=255&r,e[1]=r>>8&255,e[2]=r>>16&255,e[3]=r>>24&255,this.pickBuffer.bind(),a.attributes.pickId.pointer(o.UNSIGNED_BYTE),a.uniforms.pickOffset=e,this.pickOffset=r);var f=o.getParameter(o.BLEND),d=o.getParameter(o.DITHER);return f&&!this.blend&&o.disable(o.BLEND),d&&o.disable(o.DITHER),o.drawArrays(o.POINTS,0,this.pointCount),f&&!this.blend&&o.enable(o.BLEND),d&&o.enable(o.DITHER),r+this.pointCount}}(),c.draw=c.unifiedDraw,c.drawPick=c.unifiedDraw,c.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},{\"./lib/shader\":206,\"gl-buffer\":141,\"gl-shader\":207,\"typedarray-pool\":521}],215:[function(t,e,r){function n(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],h=e[2],f=e[3],d=r[0],p=r[1],m=r[2],g=r[3];return a=u*d+c*p+h*m+f*g,a<0&&(a=-a,d=-d,p=-p,m=-m,g=-g),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*u+l*d,t[1]=s*c+l*p,t[2]=s*h+l*m,t[3]=s*f+l*g,t}e.exports=n},{}],216:[function(t,e,r){\"use strict\";e.exports={vertex:\"precision highp float;\\n#define GLSLIFY 1\\n\\n\\nvec4 computePosition_1_0(vec2 posHi, vec2 posLo, vec2 scHi, vec2 scLo, vec2 trHi, vec2 trLo) {\\n  return vec4((posHi + trHi) * scHi\\n  \\t\\t\\t//FIXME: this thingy does not give noticeable precision gain, need test\\n            + (posLo + trLo) * scHi\\n            + (posHi + trHi) * scLo\\n            + (posLo + trLo) * scLo\\n            , 0, 1);\\n}\\n\\n\\nattribute vec2 positionHi, positionLo;\\nattribute float size, border;\\nattribute vec2 char, color;\\n\\n//this is 64-bit form of scale and translate\\nuniform vec2 scaleHi, scaleLo, translateHi, translateLo;\\nuniform float pixelRatio;\\nuniform vec4 viewBox;\\nuniform sampler2D palette;\\n\\nvarying vec4 charColor, borderColor;\\nvarying vec2 charId;\\nvarying vec2 pointCoord;\\nvarying float pointSize;\\nvarying float borderWidth;\\n\\n\\nvoid main() {\\n  charColor = texture2D(palette, vec2(color.x / 255., 0));\\n  borderColor = texture2D(palette, vec2(color.y / 255., 0));\\n\\n  gl_PointSize = size * pixelRatio;\\n  pointSize = size * pixelRatio;\\n\\n  charId = char;\\n  borderWidth = border;\\n\\n  gl_Position = computePosition_1_0(\\n    positionHi, positionLo,\\n    scaleHi, scaleLo,\\n    translateHi, translateLo);\\n\\n  pointCoord = viewBox.xy + (viewBox.zw - viewBox.xy) * (gl_Position.xy * .5 + .5);\\n}\\n\",fragment:\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D chars;\\nuniform vec2 charsShape;\\nuniform float charsStep, pixelRatio, charOffset;\\n\\nvarying vec4 borderColor;\\nvarying vec4 charColor;\\nvarying vec2 charId;\\nvarying vec2 pointCoord;\\nvarying float pointSize;\\nvarying float borderWidth;\\n\\nvoid main() {\\n\\tvec2 pointUV = (pointCoord - gl_FragCoord.xy + pointSize * .5) / pointSize;\\n\\tpointUV.x = 1. - pointUV.x;\\n\\tpointUV.y += charOffset;\\n\\tvec2 texCoord = ((charId + pointUV) * charsStep) / charsShape;\\n\\tfloat dist = texture2D(chars, texCoord).r;\\n\\n\\t//max-distance alpha\\n\\tif (dist < 1e-2)\\n\\t\\tdiscard;\\n\\n\\tfloat dif = 5. * pixelRatio * borderWidth / pointSize;\\n\\tfloat borderLevel = .748 - dif * .5;\\n\\tfloat charLevel = .748 + dif * .5;\\n\\tfloat gamma = .005 * charsStep / pointSize;\\n\\n\\tfloat borderAmt = smoothstep(borderLevel - gamma, borderLevel + gamma, dist);\\n\\tfloat charAmt = smoothstep(charLevel - gamma, charLevel + gamma, dist);\\n\\n\\tvec4 color = borderColor;\\n\\tcolor.a *= borderAmt;\\n\\n\\tgl_FragColor = mix(color, charColor, charAmt);\\n}\\n\",pickVertex:\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 positionHi, positionLo;\\nattribute vec4 id;\\nattribute float size;\\n\\nuniform vec2 scaleHi, scaleLo, translateHi, translateLo;\\nuniform vec4 pickOffset;\\nuniform float pixelRatio;\\n\\nvarying vec4 fragColor;\\n\\n\\nvec4 computePosition_1_0(vec2 posHi, vec2 posLo, vec2 scHi, vec2 scLo, vec2 trHi, vec2 trLo) {\\n  return vec4((posHi + trHi) * scHi\\n  \\t\\t\\t//FIXME: this thingy does not give noticeable precision gain, need test\\n            + (posLo + trLo) * scHi\\n            + (posHi + trHi) * scLo\\n            + (posLo + trLo) * scLo\\n            , 0, 1);\\n}\\n\\n\\nvoid main() {\\n  vec4 fragId = id + pickOffset;\\n\\n  fragId.y += floor(fragId.x / 256.0);\\n  fragId.x -= floor(fragId.x / 256.0) * 256.0;\\n\\n  fragId.z += floor(fragId.y / 256.0);\\n  fragId.y -= floor(fragId.y / 256.0) * 256.0;\\n\\n  fragId.w += floor(fragId.z / 256.0);\\n  fragId.z -= floor(fragId.z / 256.0) * 256.0;\\n\\n  fragColor = fragId / 255.0;\\n\\n  gl_PointSize = size * .25 * pixelRatio;\\n\\n  gl_Position = computePosition_1_0(\\n    positionHi, positionLo,\\n    scaleHi, scaleLo,\\n    translateHi, translateLo);\\n}\\n\",pickFragment:\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = fragColor;\\n}\\n\"}},{}],217:[function(t,e,r){arguments[4][77][0].apply(r,arguments)},{dup:77}],218:[function(t,e,r){arguments[4][196][0].apply(r,arguments)},{\"./lib/GLError\":219,\"./lib/create-attributes\":220,\"./lib/create-uniforms\":221,\"./lib/reflect\":222,\"./lib/runtime-reflect\":223,\"./lib/shader-cache\":224,dup:196}],219:[function(t,e,r){arguments[4][197][0].apply(r,arguments)},{dup:197}],220:[function(t,e,r){arguments[4][198][0].apply(r,arguments)},{\"./GLError\":219,dup:198}],221:[function(t,e,r){arguments[4][199][0].apply(r,arguments)},{\"./GLError\":219,\"./reflect\":222,dup:199}],222:[function(t,e,r){arguments[4][200][0].apply(r,arguments)},{dup:200}],223:[function(t,e,r){arguments[4][201][0].apply(r,arguments)},{dup:201}],224:[function(t,e,r){arguments[4][202][0].apply(r,arguments)},{\"./GLError\":219,dup:202,\"gl-format-compiler-error\":149,\"weakmap-shim\":542}],225:[function(t,e,r){\"use strict\";function n(t,e,r,n,a){a<=4*f?i(0,a-1,t,e,r,n):h(0,a-1,t,e,r,n)}function i(t,e,r,n,i,a){for(var o=t+1;o<=e;++o){for(var s=r[o],l=n[2*o],u=n[2*o+1],c=i[o],h=a[o],f=o;f>t;){var d=r[f-1],p=n[2*(f-1)];if((d-s||l-p)>=0)break;r[f]=d,n[2*f]=p,n[2*f+1]=n[2*f-1],i[f]=i[f-1],a[f]=a[f-1],f-=1}r[f]=s,n[2*f]=l,n[2*f+1]=u,i[f]=c,a[f]=h}}function a(t,e,r,n,i,a){var o=r[t],s=n[2*t],l=n[2*t+1],u=i[t],c=a[t];r[t]=r[e],n[2*t]=n[2*e],n[2*t+1]=n[2*e+1],i[t]=i[e],a[t]=a[e],r[e]=o,n[2*e]=s,n[2*e+1]=l,i[e]=u,a[e]=c}function o(t,e,r,n,i,a){r[t]=r[e],n[2*t]=n[2*e],n[2*t+1]=n[2*e+1],i[t]=i[e],a[t]=a[e]}function s(t,e,r,n,i,a,o){var s=n[t],l=i[2*t],u=i[2*t+1],c=a[t],h=o[t];n[t]=n[e],i[2*t]=i[2*e],i[2*t+1]=i[2*e+1],a[t]=a[e],o[t]=o[e],n[e]=n[r],i[2*e]=i[2*r],i[2*e+1]=i[2*r+1],a[e]=a[r],o[e]=o[r],n[r]=s,i[2*r]=l,i[2*r+1]=u,a[r]=c,o[r]=h}function l(t,e,r,n,i,a,o,s,l,u,c){s[t]=s[e],l[2*t]=l[2*e],l[2*t+1]=l[2*e+1],u[t]=u[e],c[t]=c[e],s[e]=r,l[2*e]=n,l[2*e+1]=i,u[e]=a,c[e]=o}function u(t,e,r,n,i){return(r[t]-r[e]||n[2*e]-n[2*t]||i[t]-i[e])<0}function c(t,e,r,n,i,a,o,s){return(e-a[t]||o[2*t]-r||i-s[t])<0}function h(t,e,r,n,d,p){var m=(e-t+1)/6|0,g=t+m,v=e-m,y=t+e>>1,b=y-m,x=y+m,_=g,w=b,M=y,k=x,A=v,T=t+1,S=e-1,E=0;u(_,w,r,n,d,p)&&(E=_,_=w,w=E),u(k,A,r,n,d,p)&&(E=k,k=A,A=E),u(_,M,r,n,d,p)&&(E=_,_=M,M=E),u(w,M,r,n,d,p)&&(E=w,w=M,M=E),u(_,k,r,n,d,p)&&(E=_,_=k,k=E),u(M,k,r,n,d,p)&&(E=M,M=k,k=E),u(w,A,r,n,d,p)&&(E=w,w=A,A=E),u(w,M,r,n,d,p)&&(E=w,w=M,M=E),u(k,A,r,n,d,p)&&(E=k,k=A,A=E);var L=r[w],C=n[2*w],z=n[2*w+1],D=d[w],I=p[w],P=r[k],O=n[2*k],j=n[2*k+1],R=d[k],F=p[k],N=_,B=M,U=A,V=g,H=y,q=v,G=r[N],Y=r[B],W=r[U];r[V]=G,r[H]=Y,r[q]=W;for(var X=0;X<2;++X){var Z=n[2*N+X],J=n[2*B+X],Q=n[2*U+X];n[2*V+X]=Z,n[2*H+X]=J,n[2*q+X]=Q}var K=d[N],$=d[B],tt=d[U];d[V]=K,d[H]=$,d[q]=tt;var et=p[N],rt=p[B],nt=p[U];p[V]=et,p[H]=rt,p[q]=nt,o(b,t,r,n,d,p),o(x,e,r,n,d,p);for(var it=T;it<=S;++it)if(c(it,L,C,z,D,r,n,d))it!==T&&a(it,T,r,n,d,p),++T;else if(!c(it,P,O,j,R,r,n,d))for(;;){if(c(S,P,O,j,R,r,n,d)){c(S,L,C,z,D,r,n,d)?(s(it,T,S,r,n,d,p),++T,--S):(a(it,S,r,n,d,p),--S);break}if(--S<it)break}l(t,T-1,L,C,z,D,I,r,n,d,p),l(e,S+1,P,O,j,R,F,r,n,d,p),T-2-t<=f?i(t,T-2,r,n,d,p):h(t,T-2,r,n,d,p),e-(S+2)<=f?i(S+2,e,r,n,d,p):h(S+2,e,r,n,d,p),S-T<=f?i(T,S,r,n,d,p):h(T,S,r,n,d,p)}e.exports=n;var f=32},{}],226:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s){for(var l=r,u=r;u<n;++u){var c=t[2*u],h=t[2*u+1],f=e[u];i<=c&&c<=o&&a<=h&&h<=s&&(u===l?l+=1:(t[2*u]=t[2*l],t[2*u+1]=t[2*l+1],e[u]=e[l],t[2*l]=c,t[2*l+1]=h,e[l]=f,l+=1))}return l}function i(t,e,r){this.pixelSize=t,this.offset=e,this.count=r}function a(t,e,r,a){function l(i,a,o,s,u,c){var h=.5*o,f=s+1,d=u-s;r[_]=d,x[_++]=c;for(var p=0;p<2;++p)for(var m=0;m<2;++m){var g=i+p*h,v=a+m*h,y=n(t,e,f,u,g,v,g+h,v+h);if(y!==f){if(y-f>=Math.max(.9*d,32)){var b=u+s>>>1;l(g,v,h,f,b,c+1),f=b}l(g,v,h,f,y,c+1),f=y}}}var u=t.length>>>1;if(u<1)return[];for(var c=1/0,h=1/0,f=-1/0,d=-1/0,p=0;p<u;++p){var m=t[2*p],g=t[2*p+1];c=Math.min(c,m),f=Math.max(f,m),h=Math.min(h,g),d=Math.max(d,g),e[p]=p}c===f&&(f+=1+Math.abs(f)),h===d&&(d+=1+Math.abs(f));var v=1/(f-c),y=1/(d-h),b=Math.max(f-c,d-h);a=a||[0,0,0,0],a[0]=c,a[1]=h,a[2]=f,a[3]=d;var x=o.mallocInt32(u),_=0;l(c,h,b,0,u,0),s(x,t,e,r,u);for(var w=[],M=0,k=u,_=u-1;_>=0;--_){t[2*_]=(t[2*_]-c)*v,t[2*_+1]=(t[2*_+1]-h)*y;var A=x[_];A!==M&&(w.push(new i(b*Math.pow(.5,A),_+1,k-(_+1))),k=_+1,M=A)}return w.push(new i(b*Math.pow(.5,A+1),0,k)),o.free(x),w}var o=t(\"typedarray-pool\"),s=t(\"./lib/sort\");e.exports=a},{\"./lib/sort\":225,\"typedarray-pool\":521}],227:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.sizeBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.charBuffer=s,this.pointCount=0,this.pickOffset=0,this.points=null,this.scales=[],this.xCoords=[],this.charCanvas=document.createElement(\"canvas\"),this.charTexture=h(this.plot.gl,this.charCanvas),this.charStep=400,this.charOffset=.032,this.snapThreshold=1e4,this.paletteTexture=h(this.plot.gl,[256,1])}function i(t,e){var r=t.gl,i=a(r,l.vertex,l.fragment),s=a(r,l.pickVertex,l.pickFragment),u=o(r),c=o(r),h=o(r),f=o(r),d=o(r),p=new n(t,i,s,u,c,h,f,d);return p.update(e),t.addObject(p),p}e.exports=i;var a=t(\"gl-shader\"),o=t(\"gl-buffer\"),s=t(\"typedarray-pool\"),l=t(\"./lib/shaders\"),u=t(\"snap-points-2d\"),c=t(\"font-atlas-sdf\"),h=t(\"gl-texture2d\"),f=t(\"color-id\"),d=t(\"ndarray\"),p=t(\"clamp\"),m=t(\"binary-search-bounds\"),g=n.prototype;!function(){function t(){var t=this.plot,u=t.viewBox,c=t.dataBox,h=t.pixelRatio,f=c[2]-c[0],d=c[3]-c[1],p=2/f,m=2/d,g=-c[0]-.5*f,v=-c[1]-.5*d;i[0]=p,a[0]=p-i[0],i[1]=m,a[1]=m-i[1],o[0]=g,s[0]=g-o[0],o[1]=v,s[1]=v-o[1];var y=u[2]-u[0],b=u[3]-u[1];e=Math.min(f/y,d/b),l[0]=2*h/y,l[1]=2*h/b,r=c[0],n=c[2]}var e,r,n,i=new Float32Array([0,0]),a=new Float32Array([0,0]),o=new Float32Array([0,0]),s=new Float32Array([0,0]),l=[0,0],u=[0,0,0,0];g.drawPick=function(l){var c=void 0!==l,h=this.plot,f=this.pointCount,d=f>this.snapThreshold;if(!f)return l;t.call(this);var p=h.gl,g=c?this.pickShader:this.shader,v=p.isEnabled(p.BLEND);if(g.bind(),c){this.pickOffset=l;for(var y=0;y<4;++y)u[y]=l>>8*y&255;g.uniforms.pickOffset=u,this.idBuffer.bind(),g.attributes.id.pointer(p.UNSIGNED_BYTE,!1)}else p.blendFuncSeparate(p.SRC_ALPHA,p.ONE_MINUS_SRC_ALPHA,p.ONE,p.ONE_MINUS_SRC_ALPHA),p.blendColor(0,0,0,1),v||p.enable(p.BLEND),this.colorBuffer.bind(),g.attributes.color.pointer(p.UNSIGNED_BYTE,!1),this.charBuffer.bind(),g.attributes.char.pointer(p.UNSIGNED_BYTE,!1),g.uniforms.chars=this.charTexture.bind(0),g.uniforms.charsShape=[this.charCanvas.width,this.charCanvas.height],g.uniforms.charsStep=this.charStep,g.uniforms.palette=this.paletteTexture.bind(1),g.uniforms.charOffset=this.charOffset;this.sizeBuffer.bind(),g.attributes.size.pointer(p.FLOAT,!1,8,0),c||g.attributes.border.pointer(p.FLOAT,!1,8,4),this.positionBuffer.bind(),g.attributes.positionHi.pointer(p.FLOAT,!1,16,0),g.attributes.positionLo.pointer(p.FLOAT,!1,16,8),g.uniforms.pixelRatio=h.pixelRatio,g.uniforms.scaleHi=i,g.uniforms.scaleLo=a,g.uniforms.translateHi=o,g.uniforms.translateLo=s,g.uniforms.viewBox=h.viewBox;var b=this.scales;if(d)for(var x=b.length-1;x>=0;x--){var _=b[x];if(!(_.pixelSize&&_.pixelSize<1.25*e&&x>1)){var w=_.offset,M=_.count+w,k=m.ge(this.xCoords,r,w,M-1),A=m.lt(this.xCoords,n,k,M-1)+1;A>k&&p.drawArrays(p.POINTS,k,A-k)}}else p.drawArrays(p.POINTS,0,f);if(c)return l+f;v?p.blendFunc(p.ONE,p.ONE_MINUS_SRC_ALPHA):p.disable(p.BLEND)}}(),g.draw=g.drawPick,g.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}},g.update=function(t){t=t||{};var e=t.positions||[],r=t.colors||[],n=t.glyphs||[],i=t.sizes||[],a=t.borderWidths||[],o=t.borderColors||[],l=this.plot.gl;null!=t.charOffset&&(this.charOffset=t.charOffset),this.points=e;var h=this.points.length/2,m=s.mallocInt32(h),g=s.mallocFloat32(2*h),v=s.mallocFloat64(2*h);v.set(this.points),this.pointCount=h;var y=h>this.snapThreshold;y&&(this.scales=u(v,m,g));for(var b=s.mallocFloat32(4*h),x=s.mallocFloat32(2*h),_=s.mallocUint8(2*h),w=s.mallocUint32(h),M=s.mallocUint8(2*h),k={},A=[],T=[],S=[],E=0,L=h,C=0;E<L;++E){var z=[255*r[4*E],255*r[4*E+1],255*r[4*E+2],255*r[4*E+3]],D=f(z,!1);null==k[D]&&(k[D]=C++,T.push(z[0]),T.push(z[1]),T.push(z[2]),\n",
       "T.push(z[3])),A.push(D),o&&o.length&&(z=[255*o[4*E],255*o[4*E+1],255*o[4*E+2],255*o[4*E+3]],D=f(z,!1),null==k[D]&&(k[D]=C++,T.push(z[0]),T.push(z[1]),T.push(z[2]),T.push(z[3])),S.push(D))}for(var I={},E=0,L=h,C=0;E<L;E++){var P=n[E];null==I[P]&&(I[P]=C++)}for(var O=0,E=0,L=i.length;E<L;++E)i[E]>O&&(O=i[E]);var j=this.charStep;this.charStep=p(Math.ceil(4*O),128,768);var R=Object.keys(I),F=this.charStep,N=Math.floor(F/2),B=l.getParameter(l.MAX_TEXTURE_SIZE),U=B/F*(B/F),V=Math.min(B,F*R.length),H=Math.min(B,F*Math.ceil(F*R.length/B)),q=Math.floor(V/F);R.length>U&&console.warn(\"gl-scatter2d-fancy: number of characters is more than maximum texture size. Try reducing it.\"),this.chars&&this.chars+\"\"==R+\"\"&&this.charStep==j||(this.charCanvas=c({canvas:this.charCanvas,family:\"sans-serif\",size:N,shape:[V,H],step:[F,F],chars:R}),this.chars=R);for(var E=0;E<h;++E){var G=y?m[E]:E,Y=e[2*G],W=e[2*G+1],X=i[G],Z=a[G];b[4*E]=Y,b[4*E+1]=W,b[4*E+2]=Y-b[4*E],b[4*E+3]=W-b[4*E+1],this.xCoords[E]=Y,x[2*E]=2*X,x[2*E+1]=Z,w[E]=G;var D=A[G],J=k[D];_[2*E]=J;var Q=S[G],K=k[Q];_[2*E+1]=K;var P=n[G],$=I[P];M[2*E+1]=Math.floor($/q),M[2*E]=$%q}this.positionBuffer.update(b),this.sizeBuffer.update(x),this.colorBuffer.update(_),this.idBuffer.update(w),this.charBuffer.update(M),this.charTexture.shape=[this.charCanvas.width,this.charCanvas.height],this.charCanvas&&this.charCanvas.width&&this.charTexture.setPixels(this.charCanvas),this.paletteTexture.setPixels(d(T.slice(0,1024),[256,1,4])),s.free(b),s.free(x),s.free(_),s.free(w),s.free(M),s.free(v),s.free(m),s.free(g)},g.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.sizeBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.charBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":216,\"binary-search-bounds\":217,clamp:81,\"color-id\":85,\"font-atlas-sdf\":119,\"gl-buffer\":141,\"gl-shader\":218,\"gl-texture2d\":251,ndarray:449,\"snap-points-2d\":226,\"typedarray-pool\":521}],228:[function(t,e,r){r.pointVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 positionHi, positionLo;\\nattribute float weight;\\n\\nuniform vec2 scaleHi, scaleLo, translateHi, translateLo;\\nuniform float pointSize, useWeight;\\n\\nvarying float fragWeight;\\n\\n\\nvec4 pfx_1_0(vec2 scaleHi, vec2 scaleLo, vec2 translateHi, vec2 translateLo, vec2 positionHi, vec2 positionLo) {\\n  return vec4((positionHi + translateHi) * scaleHi\\n            + (positionLo + translateLo) * scaleHi\\n            + (positionHi + translateHi) * scaleLo\\n            + (positionLo + translateLo) * scaleLo, 0.0, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position = pfx_1_0(scaleHi, scaleLo, translateHi, translateLo, positionHi, positionLo);\\n  gl_PointSize = pointSize;\\n  fragWeight = mix(1.0, weight, useWeight);\\n}\",r.pointFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\n\\nvarying float fragWeight;\\n\\nfloat smoothStep(float x, float y) {\\n  return 1.0 / (1.0 + exp(50.0*(x - y)));\\n}\\n\\nvoid main() {\\n  float radius = length(2.0*gl_PointCoord.xy-1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  vec4 baseColor = mix(borderColor, color, smoothStep(radius, centerFraction));\\n  float alpha = 1.0 - pow(1.0 - baseColor.a, fragWeight);\\n  gl_FragColor = vec4(baseColor.rgb * alpha, alpha);\\n}\",r.pickVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nvec4 pfx_1_0(vec2 scaleHi, vec2 scaleLo, vec2 translateHi, vec2 translateLo, vec2 positionHi, vec2 positionLo) {\\n  return vec4((positionHi + translateHi) * scaleHi\\n            + (positionLo + translateLo) * scaleHi\\n            + (positionHi + translateHi) * scaleLo\\n            + (positionLo + translateLo) * scaleLo, 0.0, 1.0);\\n}\\n\\nattribute vec2 positionHi, positionLo;\\nattribute vec4 pickId;\\n\\nuniform vec2 scaleHi, scaleLo, translateHi, translateLo;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_Position = pfx_1_0(scaleHi, scaleLo, translateHi, translateLo, positionHi, positionLo);\\n  gl_PointSize = pointSize;\\n  fragId = id;\\n}\",r.pickFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\"},{}],229:[function(t,e,r){arguments[4][77][0].apply(r,arguments)},{dup:77}],230:[function(t,e,r){arguments[4][225][0].apply(r,arguments)},{dup:225}],231:[function(t,e,r){arguments[4][226][0].apply(r,arguments)},{\"./lib/sort\":230,dup:226,\"typedarray-pool\":521}],232:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o){this.plot=t,this.positionBufferHi=e,this.positionBufferLo=r,this.pickBuffer=n,this.weightBuffer=i,this.shader=a,this.pickShader=o,this.scales=[],this.size=12,this.borderSize=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0,this.points=null,this.xCoords=null}function i(t,e){var r=t.gl,i=o(r),s=o(r),l=o(r),u=o(r),h=a(r,c.pointVertex,c.pointFragment),f=a(r,c.pickVertex,c.pickFragment),d=new n(t,i,s,l,u,h,f);return d.update(e),t.addObject(d),d}var a=t(\"gl-shader\"),o=t(\"gl-buffer\"),s=t(\"binary-search-bounds\"),l=t(\"snap-points-2d\"),u=t(\"typedarray-pool\"),c=t(\"./lib/shader\");e.exports=i;var h=n.prototype,f=new Float32Array(2),d=new Float32Array(2),p=new Float32Array(2),m=new Float32Array(2),g=[0,0,0,0];h.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBufferHi.dispose(),this.positionBufferLo.dispose(),this.pickBuffer.dispose(),this.xCoords&&u.free(this.xCoords),this.plot.removeObject(this)},h.update=function(t){function e(e,r){return e in t?t[e]:r}t=t||{},this.size=e(\"size\",12),this.color=e(\"color\",[1,0,0,1]).slice(),this.borderSize=e(\"borderSize\",1),this.borderColor=e(\"borderColor\",[0,0,0,1]).slice(),this.xCoords&&u.free(this.xCoords),this.points=t.positions;var r=this.points.length>>>1,n=u.mallocInt32(r),i=u.mallocFloat32(2*r),a=u.mallocFloat64(2*r);a.set(this.points),this.scales=l(a,n,i,this.bounds);var o=u.mallocFloat64(r),s=u.mallocFloat32(2*r),c=u.mallocFloat32(2*r);s.set(a);for(var h=0,f=0;h<r;h++,f+=2)c[f]=a[f]-s[f],c[f+1]=a[f+1]-s[f+1],o[h]=a[f];this.positionBufferHi.update(s),this.positionBufferLo.update(c),this.pickBuffer.update(n),this.weightBuffer.update(i),u.free(n),u.free(a),u.free(s),u.free(c),u.free(i),this.xCoords=o,this.pointCount=r,this.pickOffset=0},h.draw=function(t){var e=void 0!==t,r=this.plot,n=e?this.pickShader:this.shader,i=this.scales,a=this.positionBufferHi,o=this.positionBufferLo,l=this.pickBuffer,u=this.bounds,c=this.size,h=this.borderSize,v=r.gl,y=e?r.pickPixelRatio:r.pixelRatio,b=r.viewBox,x=r.dataBox;if(0===this.pointCount)return t;var _=u[2]-u[0],w=u[3]-u[1],M=x[2]-x[0],k=x[3]-x[1],A=(b[2]-b[0])*y/r.pixelRatio,T=(b[3]-b[1])*y/r.pixelRatio,S=Math.min(M/A,k/T),E=2*_/M,L=2*w/k;f[0]=E,f[1]=L,d[0]=E-f[0],d[1]=L-f[1];var C=(u[0]-x[0]-.5*M)/_,z=(u[1]-x[1]-.5*k)/w;p[0]=C,p[1]=z,m[0]=C-p[0],m[1]=z-p[1],n.bind(),n.uniforms.scaleHi=f,n.uniforms.scaleLo=d,n.uniforms.translateHi=p,n.uniforms.translateLo=m,n.uniforms.color=this.color,n.uniforms.borderColor=this.borderColor,n.uniforms.pointSize=y*(c+h),n.uniforms.centerFraction=0===this.borderSize?2:c/(c+h+1.25),a.bind(),n.attributes.positionHi.pointer(),o.bind(),n.attributes.positionLo.pointer(),e?(this.pickOffset=t,g[0]=255&t,g[1]=t>>8&255,g[2]=t>>16&255,g[3]=t>>24&255,n.uniforms.pickOffset=g,l.bind(),n.attributes.pickId.pointer(v.UNSIGNED_BYTE)):(n.uniforms.useWeight=1,this.weightBuffer.bind(),n.attributes.weight.pointer());for(var D=this.xCoords,I=(x[0]-u[0]-S*c*y)/_,P=(x[2]-u[0]+S*c*y)/_,O=!0,j=i.length-1;j>=0;j--){var R=i[j];if(!(R.pixelSize<S&&j>1)){var F=R.offset,N=R.count+F,B=s.ge(D,I,F,N-1),U=s.lt(D,P,B,N-1)+1;U>B&&v.drawArrays(v.POINTS,B,U-B),!e&&O&&(O=!1,n.uniforms.useWeight=0)}}return t+this.pointCount},h.drawPick=h.draw,h.pick=function(t,e,r){var n=r-this.pickOffset;return n<0||n>=this.pointCount?null:{object:this,pointId:n,dataCoord:[this.points[2*n],this.points[2*n+1]]}}},{\"./lib/shader\":228,\"binary-search-bounds\":229,\"gl-buffer\":141,\"gl-shader\":239,\"snap-points-2d\":231,\"typedarray-pool\":521}],233:[function(t,e,r){\"use strict\";function n(t,e){var r=a[e];if(r||(r=a[e]={}),t in r)return r[t];for(var n=i(t,{textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e}),o=i(t,{triangles:!0,textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e}),s=[[1/0,1/0],[-1/0,-1/0]],l=0;l<n.positions.length;++l)for(var u=n.positions[l],c=0;c<2;++c)s[0][c]=Math.min(s[0][c],u[c]),s[1][c]=Math.max(s[1][c],u[c]);return r[t]=[o,n,s]}var i=t(\"vectorize-text\");e.exports=n;var a={}},{\"vectorize-text\":534}],234:[function(t,e,r){function n(t,e){var r=i(t,e),n=r.attributes;return n.position.location=0,n.color.location=1,n.glyph.location=2,n.id.location=3,r}var i=t(\"gl-shader\"),a=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if(any(lessThan(position, clipBounds[0]))   || \\n     any(greaterThan(position, clipBounds[1])) ) {\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n    \\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\",o=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if(any(lessThan(position, clipBounds[0])) || any(greaterThan(position, clipBounds[1]))) {\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n    \\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\",s=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if(any(lessThan(position, clipBounds[0]))   ||\\n     any(greaterThan(position, clipBounds[1])) ) {\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\",l=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if(any(lessThan(dataCoordinate, fragClipBounds[0]))   ||\\n     any(greaterThan(dataCoordinate, fragClipBounds[1])) ) {\\n    discard;\\n  } else {\\n    gl_FragColor = interpColor * opacity;\\n  }\\n}\\n\",u=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if(any(lessThan(dataCoordinate, fragClipBounds[0]))   || \\n     any(greaterThan(dataCoordinate, fragClipBounds[1])) ) {\\n    discard;\\n  } else {\\n    gl_FragColor = vec4(pickGroup, pickId.bgr);\\n  }\\n}\",c=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],h={vertex:a,fragment:l,attributes:c},f={vertex:o,fragment:l,attributes:c},d={vertex:s,fragment:l,attributes:c},p={vertex:a,fragment:u,attributes:c},m={vertex:o,fragment:u,attributes:c},g={vertex:s,fragment:u,attributes:c};r.createPerspective=function(t){return n(t,h)},r.createOrtho=function(t){return n(t,f)},r.createProject=function(t){return n(t,d)},r.createPickPerspective=function(t){return n(t,p)},r.createPickOrtho=function(t){return n(t,m)},r.createPickProject=function(t){return n(t,g)}},{\"gl-shader\":239}],235:[function(t,e,r){\"use strict\";function n(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function i(t,e,r,i){return n(i,i,r),n(i,i,e),n(i,i,t)}function a(t,e){this.index=t,this.dataCoordinate=this.position=e}function o(t,e,r,n,i,o,s,l,u,c,h,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=o,this.glyphBuffer=s,this.idBuffer=l,this.vao=u,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=h,this.pickProjectShader=f,this.points=[],this._selectResult=new a(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}function s(t){return t[0]=t[1]=t[2]=0,t}function l(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function u(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function c(t){for(var e=L,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}function h(t,e,r,n,a){var o,h=e.axesProject,f=e.gl,d=t.uniforms,p=r.model||x,m=r.view||x,g=r.projection||x,y=e.axesBounds,b=c(e.clipBounds);o=e.axes?e.axes.lastCubeProps.axis:[1,1,1],w[0]=2/f.drawingBufferWidth,w[1]=2/f.drawingBufferHeight,t.bind(),d.view=m,d.projection=g,d.screenSize=w,d.highlightId=e.highlightId,d.highlightScale=e.highlightScale,d.clipBounds=b,d.pickGroup=e.pickId/255,d.pixelRatio=e.pixelRatio;for(var _=0;_<3;++_)if(h[_]&&e.projectOpacity[_]<1===n){d.scale=e.projectScale[_],d.opacity=e.projectOpacity[_];for(var L=S,C=0;C<16;++C)L[C]=0;for(var C=0;C<4;++C)L[5*C]=1;L[5*_]=0,o[_]<0?L[12+_]=y[0][_]:L[12+_]=y[1][_],v(L,p,L),d.model=L;var z=(_+1)%3,D=(_+2)%3,I=s(M),P=s(k);I[z]=1,P[D]=1;var O=i(g,m,p,l(A,I)),j=i(g,m,p,l(T,P));if(Math.abs(O[1])>Math.abs(j[1])){var R=O;O=j,j=R,R=I,I=P,P=R;var F=z;z=D,D=F}O[0]<0&&(I[z]=-1),j[1]>0&&(P[D]=-1);for(var N=0,B=0,C=0;C<4;++C)N+=Math.pow(p[4*z+C],2),B+=Math.pow(p[4*D+C],2);I[z]/=Math.sqrt(N),P[D]/=Math.sqrt(B),d.axes[0]=I,d.axes[1]=P,d.fragClipBounds[0]=u(E,b[0],_,-1e8),d.fragClipBounds[1]=u(E,b[1],_,1e8),e.vao.draw(f.TRIANGLES,e.vertexCount),e.lineWidth>0&&(f.lineWidth(e.lineWidth),e.vao.draw(f.LINES,e.lineVertexCount,e.vertexCount))}}function f(t,e,r,n,i,a){var o=r.gl;if(r.vao.bind(),i===r.opacity<1||a){t.bind();var s=t.uniforms;s.model=n.model||x,s.view=n.view||x,s.projection=n.projection||x,w[0]=2/o.drawingBufferWidth,w[1]=2/o.drawingBufferHeight,s.screenSize=w,s.highlightId=r.highlightId,s.highlightScale=r.highlightScale,s.fragClipBounds=D,s.clipBounds=r.axes.bounds,s.opacity=r.opacity,s.pickGroup=r.pickId/255,s.pixelRatio=r.pixelRatio,r.vao.draw(o.TRIANGLES,r.vertexCount),r.lineWidth>0&&(o.lineWidth(r.lineWidth),r.vao.draw(o.LINES,r.lineVertexCount,r.vertexCount))}h(e,r,n,i,a),r.vao.unbind()}function d(t){var e=t.gl,r=y.createPerspective(e),n=y.createOrtho(e),i=y.createProject(e),a=y.createPickPerspective(e),s=y.createPickOrtho(e),l=y.createPickProject(e),u=p(e),c=p(e),h=p(e),f=p(e),d=m(e,[{buffer:u,size:3,type:e.FLOAT},{buffer:c,size:4,type:e.FLOAT},{buffer:h,size:2,type:e.FLOAT},{buffer:f,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),g=new o(e,r,n,i,u,c,h,f,d,a,s,l);return g.update(t),g}var p=t(\"gl-buffer\"),m=t(\"gl-vao\"),g=t(\"typedarray-pool\"),v=t(\"gl-mat4/multiply\"),y=t(\"./lib/shaders\"),b=t(\"./lib/glyphs\"),x=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];e.exports=d;var _=o.prototype;_.pickSlots=1,_.setPickBase=function(t){this.pickId=t},_.isTransparent=function(){if(this.opacity<1)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectOpacity[t]<1)return!0;return!1},_.isOpaque=function(){if(this.opacity>=1)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectOpacity[t]>=1)return!0;return!1};var w=[0,0],M=[0,0,0],k=[0,0,0],A=[0,0,0,1],T=[0,0,0,1],S=x.slice(),E=[0,0,0],L=[[0,0,0],[0,0,0]],C=[-1e8,-1e8,-1e8],z=[1e8,1e8,1e8],D=[C,z];_.draw=function(t){f(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,!1,!1)},_.drawTransparent=function(t){f(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,!0,!1)},_.drawPick=function(t){f(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,!1,!0)},_.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},_.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},_.update=function(t){if(t=t||{},\"perspective\"in t&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(\"projectOpacity\"in t)if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{var r=+t.projectOpacity;this.projectOpacity=[r,r,r]}\"opacity\"in t&&(this.opacity=t.opacity),this.dirty=!0;var n=t.position;if(n){var i=t.font||\"normal\",a=t.alignment||[0,0],o=[1/0,1/0,1/0],s=[-1/0,-1/0,-1/0],l=t.glyph,u=t.color,c=t.size,h=t.angle,f=t.lineColor,d=0,p=0,m=0,v=n.length;t:for(var y=0;y<v;++y){for(var x=n[y],_=0;_<3;++_)if(isNaN(x[_])||!isFinite(x[_]))continue t;var w;w=Array.isArray(l)?b(l[y],i):l?b(l,i):b(\"\\u25cf\",i);var M=w[0],k=w[1],A=w[2];p+=3*M.cells.length,m+=2*k.edges.length}var T=p+m,S=g.mallocFloat(3*T),E=g.mallocFloat(4*T),L=g.mallocFloat(2*T),C=g.mallocUint32(T),z=[0,a[1]],D=0,I=p,P=[0,0,0,1],O=[0,0,0,1],j=Array.isArray(u)&&Array.isArray(u[0]),R=Array.isArray(f)&&Array.isArray(f[0]);t:for(var y=0;y<v;++y){for(var x=n[y],_=0;_<3;++_){if(isNaN(x[_])||!isFinite(x[_])){d+=1;continue t}s[_]=Math.max(s[_],x[_]),o[_]=Math.min(o[_],x[_])}var w;w=Array.isArray(l)?b(l[y],i):l?b(l,i):b(\"\\u25cf\",i);var M=w[0],k=w[1],A=w[2];if(Array.isArray(u)){var F;if(F=j?u[y]:u,3===F.length){for(var _=0;_<3;++_)P[_]=F[_];P[3]=1}else if(4===F.length)for(var _=0;_<4;++_)P[_]=F[_]}else P[0]=P[1]=P[2]=0,P[3]=1;if(Array.isArray(f)){var F;if(F=R?f[y]:f,3===F.length){for(var _=0;_<3;++_)O[_]=F[_];O[_]=1}else if(4===F.length)for(var _=0;_<4;++_)O[_]=F[_]}else O[0]=O[1]=O[2]=0,O[3]=1;var N=.5;Array.isArray(c)?N=+c[y]:c?N=+c:this.useOrtho&&(N=12);var B=0;Array.isArray(h)?B=+h[y]:h&&(B=+h);for(var U=Math.cos(B),V=Math.sin(B),x=n[y],_=0;_<3;++_)s[_]=Math.max(s[_],x[_]),o[_]=Math.min(o[_],x[_]);a[0]<0?z[0]=a[0]*(1+A[1][0]):a[0]>0&&(z[0]=-a[0]*(1+A[0][0]));for(var H=M.cells,q=M.positions,_=0;_<H.length;++_)for(var G=H[_],Y=0;Y<3;++Y){for(var W=0;W<3;++W)S[3*D+W]=x[W];for(var W=0;W<4;++W)E[4*D+W]=P[W];C[D]=d;var X=q[G[Y]];L[2*D]=N*(U*X[0]-V*X[1]+z[0]),L[2*D+1]=N*(V*X[0]+U*X[1]+z[1]),D+=1}for(var H=k.edges,q=k.positions,_=0;_<H.length;++_)for(var G=H[_],Y=0;Y<2;++Y){for(var W=0;W<3;++W)S[3*I+W]=x[W];for(var W=0;W<4;++W)E[4*I+W]=O[W];C[I]=d;var X=q[G[Y]];L[2*I]=N*(U*X[0]-V*X[1]+z[0]),L[2*I+1]=N*(V*X[0]+U*X[1]+z[1]),I+=1}d+=1}this.vertexCount=p,this.lineVertexCount=m,this.pointBuffer.update(S),this.colorBuffer.update(E),this.glyphBuffer.update(L),this.idBuffer.update(new Uint32Array(C)),g.free(S),g.free(E),g.free(L),g.free(C),this.bounds=[o,s],this.points=n,this.pointCount=n.length}},_.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},{\"./lib/glyphs\":233,\"./lib/shaders\":234,\"gl-buffer\":141,\"gl-mat4/multiply\":167,\"gl-vao\":255,\"typedarray-pool\":521}],236:[function(t,e,r){\"use strict\";r.boxVertex=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid main() {\\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\\n}\\n\",r.boxFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = color;\\n}\\n\"},{}],237:[function(t,e,r){\"use strict\";function n(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}function i(t,e){var r=t.gl,i=o(r,[0,0,0,1,1,0,1,1]),l=a(r,s.boxVertex,s.boxFragment),u=new n(t,i,l);return u.update(e),t.addOverlay(u),u}var a=t(\"gl-shader\"),o=t(\"gl-buffer\"),s=t(\"./lib/shaders\");e.exports=i;var l=n.prototype;l.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,u=t.viewBox,c=t.pixelRatio,h=(e[0]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],f=(e[1]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1],d=(e[2]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],p=(e[3]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1];if(h=Math.max(h,u[0]),f=Math.max(f,u[1]),d=Math.min(d,u[2]),p=Math.min(p,u[3]),!(d<h||p<f)){o.bind();var m=s[2]-s[0],g=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,m,f,i),o.drawBox(0,f,h,p,i),o.drawBox(0,p,m,g,i),o.drawBox(d,f,m,p,i)),this.innerFill&&o.drawBox(h,f,d,p,n),r>0){var v=r*c;o.drawBox(h-v,f-v,d+v,f+v,a),o.drawBox(h-v,p-v,d+v,p+v,a),o.drawBox(h-v,f-v,h+v,p+v,a),o.drawBox(d-v,f-v,d+v,p+v,a)}}}},l.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},l.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{\"./lib/shaders\":236,\"gl-buffer\":141,\"gl-shader\":239}],238:[function(t,e,r){\"use strict\";function n(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function i(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}function a(t,e){return new i(t,o(t,e),s.mallocUint8(e[0]*e[1]*4))}e.exports=a;var o=t(\"gl-fbo\"),s=t(\"typedarray-pool\"),l=t(\"ndarray\"),u=t(\"bit-twiddle\").nextPow2,c=t(\"cwise/lib/wrapper\")({args:[\"array\",{offset:[0,0,1],array:0},{offset:[0,0,2],array:0},{offset:[0,0,3],array:0},\"scalar\",\"scalar\",\"index\"],pre:{body:\"{this_closestD2=1e8,this_closestX=-1,this_closestY=-1}\",args:[],thisVars:[\"this_closestD2\",\"this_closestX\",\"this_closestY\"],localVars:[]},body:{body:\"{if(_inline_46_arg0_<255||_inline_46_arg1_<255||_inline_46_arg2_<255||_inline_46_arg3_<255){var _inline_46_l=_inline_46_arg4_-_inline_46_arg6_[0],_inline_46_a=_inline_46_arg5_-_inline_46_arg6_[1],_inline_46_f=_inline_46_l*_inline_46_l+_inline_46_a*_inline_46_a;_inline_46_f<this_closestD2&&(this_closestD2=_inline_46_f,this_closestX=_inline_46_arg6_[0],this_closestY=_inline_46_arg6_[1])}}\",args:[{name:\"_inline_46_arg0_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_46_arg1_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_46_arg2_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_46_arg3_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_46_arg4_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_46_arg5_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_46_arg6_\",lvalue:!1,rvalue:!0,count:4}],thisVars:[\"this_closestD2\",\"this_closestX\",\"this_closestY\"],localVars:[\"_inline_46_a\",\"_inline_46_f\",\"_inline_46_l\"]},post:{body:\"{return[this_closestX,this_closestY,this_closestD2]}\",args:[],thisVars:[\"this_closestD2\",\"this_closestX\",\"this_closestY\"],localVars:[]},debug:!1,funcName:\"cwise\",blockSize:64}),h=i.prototype;Object.defineProperty(h,\"shape\",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){s.free(this.buffer);for(var n=this.buffer=s.mallocUint8(u(r*e*4)),i=0;i<r*e*4;++i)n[i]=255}return t}}}),h.begin=function(){var t=this.gl;this.shape;t&&(this.fbo.bind(),t.clearColor(1,1,1,1),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT))},h.end=function(){var t=this.gl;t&&(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},h.query=function(t,e,r){if(!this.gl)return null;var i=this.fbo.shape.slice();t|=0,e|=0,\"number\"!=typeof r&&(r=1);var a=0|Math.min(Math.max(t-r,0),i[0]),o=0|Math.min(Math.max(t+r,0),i[0]),s=0|Math.min(Math.max(e-r,0),i[1]),u=0|Math.min(Math.max(e+r,0),i[1]);if(o<=a||u<=s)return null;var h=[o-a,u-s],f=l(this.buffer,[h[0],h[1],4],[4,4*i[0],1],4*(a+i[0]*s)),d=c(f.hi(h[0],h[1],1),r,r),p=d[0],m=d[1];return p<0||Math.pow(this.radius,2)<d[2]?null:new n(p+a|0,m+s|0,f.get(p,m,0),[f.get(p,m,1),f.get(p,m,2),f.get(p,m,3)],Math.sqrt(d[2]))},h.dispose=function(){this.gl&&(this.fbo.dispose(),s.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))}},{\"bit-twiddle\":60,\"cwise/lib/wrapper\":106,\"gl-fbo\":148,ndarray:449,\"typedarray-pool\":521}],239:[function(t,e,r){\"use strict\";function n(t){this.gl=t,this._vref=this._fref=this._relink=this.vertShader=this.fragShader=this.program=this.attributes=this.uniforms=this.types=null}function i(t,e){return t.name<e.name?-1:1}function a(t,e,r,i,a){var o=new n(t);return o.update(e,r,i,a),o}var o=t(\"./lib/create-uniforms\"),s=t(\"./lib/create-attributes\"),l=t(\"./lib/reflect\"),u=t(\"./lib/shader-cache\"),c=t(\"./lib/runtime-reflect\"),h=t(\"./lib/GLError\"),f=n.prototype;f.bind=function(){this.program||this._relink(),this.gl.useProgram(this.program)},f.dispose=function(){this._fref&&this._fref.dispose(),this._vref&&this._vref.dispose(),this.attributes=this.types=this.vertShader=this.fragShader=this.program=this._relink=this._fref=this._vref=null},f.update=function(t,e,r,n){function a(){d.program=u.program(p,d._vref,d._fref,x,_);for(var t=0;t<r.length;++t)E[t]=p.getUniformLocation(d.program,r[t].name)}if(!e||1===arguments.length){var f=t;t=f.vertex,e=f.fragment,r=f.uniforms,n=f.attributes}var d=this,p=d.gl,m=d._vref;d._vref=u.shader(p,p.VERTEX_SHADER,t),m&&m.dispose(),d.vertShader=d._vref.shader;var g=this._fref;if(d._fref=u.shader(p,p.FRAGMENT_SHADER,e),g&&g.dispose(),d.fragShader=d._fref.shader,!r||!n){var v=p.createProgram();if(p.attachShader(v,d.fragShader),p.attachShader(v,d.vertShader),p.linkProgram(v),!p.getProgramParameter(v,p.LINK_STATUS)){var y=p.getProgramInfoLog(v);throw new h(y,\"Error linking program:\"+y)}r=r||c.uniforms(p,v),n=n||c.attributes(p,v),p.deleteProgram(v)}n=n.slice(),n.sort(i);for(var b=[],x=[],_=[],w=0;w<n.length;++w){var M=n[w];if(M.type.indexOf(\"mat\")>=0){for(var k=0|M.type.charAt(M.type.length-1),A=new Array(k),T=0;T<k;++T)A[T]=_.length,x.push(M.name+\"[\"+T+\"]\"),\"number\"==typeof M.location?_.push(M.location+T):Array.isArray(M.location)&&M.location.length===k&&\"number\"==typeof M.location[T]?_.push(0|M.location[T]):_.push(-1);b.push({name:M.name,type:M.type,locations:A})}else b.push({name:M.name,type:M.type,locations:[_.length]}),x.push(M.name),\"number\"==typeof M.location?_.push(0|M.location):_.push(-1)}for(var S=0,w=0;w<_.length;++w)if(_[w]<0){for(;_.indexOf(S)>=0;)S+=1;_[w]=S}var E=new Array(r.length);a(),d._relink=a,d.types={uniforms:l(r),attributes:l(n)},d.attributes=s(p,d,b,_),Object.defineProperty(d,\"uniforms\",o(p,d,r,E))},e.exports=a},{\"./lib/GLError\":240,\"./lib/create-attributes\":241,\"./lib/create-uniforms\":242,\"./lib/reflect\":243,\"./lib/runtime-reflect\":244,\"./lib/shader-cache\":245}],240:[function(t,e,r){arguments[4][197][0].apply(r,arguments)},{dup:197}],241:[function(t,e,r){arguments[4][198][0].apply(r,arguments)},{\"./GLError\":240,dup:198}],242:[function(t,e,r){arguments[4][199][0].apply(r,arguments)},{\"./GLError\":240,\"./reflect\":243,dup:199}],243:[function(t,e,r){arguments[4][200][0].apply(r,arguments)},{dup:200}],244:[function(t,e,r){arguments[4][201][0].apply(r,arguments)},{dup:201}],245:[function(t,e,r){arguments[4][202][0].apply(r,arguments)},{\"./GLError\":240,dup:202,\"gl-format-compiler-error\":149,\"weakmap-shim\":542}],246:[function(t,e,r){\"use strict\";function n(t){this.plot=t,this.enable=[!0,!0,!1,!1],this.width=[1,1,1,1],this.color=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.center=[1/0,1/0]}function i(t,e){var r=new n(t);return r.update(e),t.addOverlay(r),r}e.exports=i;var a=n.prototype;a.update=function(t){t=t||{},this.enable=(t.enable||[!0,!0,!1,!1]).slice(),this.width=(t.width||[1,1,1,1]).slice(),this.color=(t.color||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]).map(function(t){return t.slice()}),this.center=(t.center||[1/0,1/0]).slice(),this.plot.setOverlayDirty()},a.draw=function(){var t=this.enable,e=this.width,r=this.color,n=this.center,i=this.plot,a=i.line,o=i.dataBox,s=i.viewBox;if(a.bind(),o[0]<=n[0]&&n[0]<=o[2]&&o[1]<=n[1]&&n[1]<=o[3]){var l=s[0]+(n[0]-o[0])/(o[2]-o[0])*(s[2]-s[0]),u=s[1]+(n[1]-o[1])/(o[3]-o[1])*(s[3]-s[1]);t[0]&&a.drawLine(l,u,s[0],u,e[0],r[0]),t[1]&&a.drawLine(l,u,l,s[1],e[1],r[1]),t[2]&&a.drawLine(l,u,s[2],u,e[2],r[2]),t[3]&&a.drawLine(l,u,l,s[3],e[3],r[3])}},a.dispose=function(){this.plot.removeOverlay(this)}},{}],247:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\");e.exports=function(t){\n",
       "return n(t,\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, color;\\nattribute float weight;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 coordinates[3];\\nuniform vec4 colors[3];\\nuniform vec2 screenShape;\\nuniform float lineWidth;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vertexPosition = mix(coordinates[0],\\n    mix(coordinates[2], coordinates[1], 0.5 * (position + 1.0)), abs(position));\\n\\n  vec4 clipPos = projection * view * model * vec4(vertexPosition, 1.0);\\n  vec2 clipOffset = (projection * view * model * vec4(color, 0.0)).xy;\\n  vec2 delta = weight * clipOffset * screenShape;\\n  vec2 lineOffset = normalize(vec2(delta.y, -delta.x)) / screenShape;\\n\\n  gl_Position   = vec4(clipPos.xy + clipPos.w * 0.5 * lineWidth * lineOffset, clipPos.z, clipPos.w);\\n  fragColor     = color.x * colors[0] + color.y * colors[1] + color.z * colors[2];\\n}\\n\",\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  gl_FragColor = fragColor;\\n}\",null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec3\"},{name:\"weight\",type:\"float\"}])}},{\"gl-shader\":239}],248:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n,this.pixelRatio=1,this.bounds=[[-1e3,-1e3,-1e3],[1e3,1e3,1e3]],this.position=[0,0,0],this.lineWidth=[2,2,2],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.enabled=[!0,!0,!0],this.drawSides=[!0,!0,!0],this.axes=null}function i(t,e){function r(t,e,r,n,a,o){var s=[t,e,r,0,0,0,1];s[n+3]=1,s[n]=a,i.push.apply(i,s),s[6]=-1,i.push.apply(i,s),s[n]=o,i.push.apply(i,s),i.push.apply(i,s),s[6]=1,i.push.apply(i,s),s[n]=a,i.push.apply(i,s)}var i=[];r(0,0,0,0,0,1),r(0,0,0,1,0,1),r(0,0,0,2,0,1),r(1,0,0,1,-1,1),r(1,0,0,2,-1,1),r(0,1,0,0,-1,1),r(0,1,0,2,-1,1),r(0,0,1,0,-1,1),r(0,0,1,1,-1,1);var l=a(t,i),u=o(t,[{type:t.FLOAT,buffer:l,size:3,offset:0,stride:28},{type:t.FLOAT,buffer:l,size:3,offset:12,stride:28},{type:t.FLOAT,buffer:l,size:1,offset:24,stride:28}]),c=s(t);c.attributes.position.location=0,c.attributes.color.location=1,c.attributes.weight.location=2;var h=new n(t,l,u,c);return h.update(e),h}var a=t(\"gl-buffer\"),o=t(\"gl-vao\"),s=t(\"./shaders/index\");e.exports=i;var l=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],u=n.prototype,c=[0,0,0],h=[0,0,0],f=[0,0];u.isTransparent=function(){return!1},u.drawTransparent=function(t){},u.draw=function(t){var e=this.gl,r=this.vao,n=this.shader;r.bind(),n.bind();var i,a=t.model||l,o=t.view||l,s=t.projection||l;this.axes&&(i=this.axes.lastCubeProps.axis);for(var u=c,d=h,p=0;p<3;++p)i&&i[p]<0?(u[p]=this.bounds[0][p],d[p]=this.bounds[1][p]):(u[p]=this.bounds[1][p],d[p]=this.bounds[0][p]);f[0]=e.drawingBufferWidth,f[1]=e.drawingBufferHeight,n.uniforms.model=a,n.uniforms.view=o,n.uniforms.projection=s,n.uniforms.coordinates=[this.position,u,d],n.uniforms.colors=this.colors,n.uniforms.screenShape=f;for(var p=0;p<3;++p)n.uniforms.lineWidth=this.lineWidth[p]*this.pixelRatio,this.enabled[p]&&(r.draw(e.TRIANGLES,6,6*p),this.drawSides[p]&&r.draw(e.TRIANGLES,12,18+12*p));r.unbind()},u.update=function(t){t&&(\"bounds\"in t&&(this.bounds=t.bounds),\"position\"in t&&(this.position=t.position),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"colors\"in t&&(this.colors=t.colors),\"enabled\"in t&&(this.enabled=t.enabled),\"drawSides\"in t&&(this.drawSides=t.drawSides))},u.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders/index\":247,\"gl-buffer\":141,\"gl-vao\":255}],249:[function(t,e,r){var n=t(\"gl-shader\"),i=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  worldCoordinate = vec3(uv.zw, f.x);\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n  vec4 clipPosition = projection * view * worldPosition;\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\",a=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution_2_0(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\n\\n\\nfloat beckmannSpecular_1_1(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution_2_0(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\n\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (kill > 0.0 ||\\n    any(lessThan(worldCoordinate, clipBounds[0])) || any(greaterThan(worldCoordinate, clipBounds[1]))) {\\n    discard;\\n  }\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = beckmannSpecular_1_1(L, V, N, roughness);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color \\u2014 in vertex or in fragment\\n  vec4 surfaceColor = step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) + step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\",o=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  vec4 worldPosition = model * vec4(dataCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z = clipPosition.z + zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f;\\n  kill = -1.0;\\n  worldCoordinate = dataCoordinate;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\",s=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if(kill > 0.0 ||\\n    any(lessThan(worldCoordinate, clipBounds[0])) || any(greaterThan(worldCoordinate, clipBounds[1]))) {\\n    discard;\\n  }\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\";r.createShader=function(t){var e=n(t,i,a,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,i,s,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,o,a,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,o,s,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{\"gl-shader\":239}],250:[function(t,e,r){\"use strict\";function n(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}function i(t){var e=x([y({colormap:t,nshades:j,format:\"rgba\"}).map(function(t){return[t[0],t[1],t[2],255*t[3]]})]);return b.divseq(e,255),e}function a(t,e,r,i,a,o,s,l,u,c,h,f,d,p){this.gl=t,this.shape=e,this.bounds=r,this.intensityBounds=[],this._shader=i,this._pickShader=a,this._coordinateBuffer=o,this._vao=s,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=f,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new n([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=p,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[0/0,0/0,0/0],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[_(v.mallocFloat(1024),[0,0]),_(v.mallocFloat(1024),[0,0]),_(v.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}function o(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||F,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=N.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],M(l,t.model,l);var u=N.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return N.showSurface=o,N.showContour=s,N}function s(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=B;n.model=t.model||I,n.view=t.view||I,n.projection=t.projection||I,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.contourColor=this.contourColor[0],n.inverseModel=k(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],s=0;s<3;++s)a[s]=Math.min(Math.max(this.clipBounds[i][s],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=V,n.vertexColor=this.vertexColor;var l=U;for(M(l,n.view,n.model),M(l,n.projection,l),k(l,l),i=0;i<3;++i)n.eyePosition[i]=l[12+i]/l[15];var u=l[15];for(i=0;i<3;++i)u+=this.lightPosition[i]*l[4*i+3];for(i=0;i<3;++i){var c=l[12+i];for(s=0;s<3;++s)c+=l[4*s+i]*this.lightPosition[s];n.lightPosition[i]=c/u}var h=o(n,this);if(h.showSurface&&e===this.opacity<1){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=h.projections[i],this._shader.uniforms.clipBounds=h.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(h.showContour&&!e){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var d=this._contourVAO;for(d.bind(),i=0;i<3;++i)for(f.uniforms.permutation=O[i],r.lineWidth(this.contourWidth[i]),s=0;s<this.contourLevels[i].length;++s)this._contourCounts[i][s]&&(s===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==s&&s-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),f.uniforms.height=this.contourLevels[i][s],d.draw(r.LINES,this._contourCounts[i][s],this._contourOffsets[i][s]));for(i=0;i<3;++i)for(f.uniforms.model=h.projections[i],f.uniforms.clipBounds=h.clipBounds[i],s=0;s<3;++s)if(this.contourProject[i][s]){f.uniforms.permutation=O[s],r.lineWidth(this.contourWidth[s]);for(var p=0;p<this.contourLevels[s].length;++p)p===this.highlightLevel[s]?(f.uniforms.contourColor=this.highlightColor[s],f.uniforms.contourTint=this.highlightTint[s]):0!==p&&p-1!==this.highlightLevel[s]||(f.uniforms.contourColor=this.contourColor[s],f.uniforms.contourTint=this.contourTint[s]),f.uniforms.height=this.contourLevels[s][p],d.draw(r.LINES,this._contourCounts[s][p],this._contourOffsets[s][p])}for(d=this._dynamicVAO,d.bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=O[i],r.lineWidth(this.dynamicWidth[i]),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],d.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),s=0;s<3;++s)this.contourProject[s][i]&&(f.uniforms.model=h.projections[s],f.uniforms.clipBounds=h.clipBounds[s],d.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));d.unbind()}}function l(t,e){var r=e.shape.slice(),n=t.shape.slice();b.assign(t.lo(1,1).hi(r[0],r[1]),e),b.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),b.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),b.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),b.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))}function u(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function c(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function h(t){if(Array.isArray(t)){if(Array.isArray(t))return[c(t[0]),c(t[1]),c(t[2])];var e=c(t);return[e.slice(),e.slice(),e.slice()]}}function f(t){var e=t.gl,r=E(e),n=C(e),i=L(e),o=z(e),s=p(e),l=m(e,[{buffer:s,size:4,stride:D,offset:0},{buffer:s,size:3,stride:D,offset:16},{buffer:s,size:3,stride:D,offset:28}]),u=p(e),c=m(e,[{buffer:u,size:4,stride:20,offset:0},{buffer:u,size:1,stride:20,offset:16}]),h=p(e),f=m(e,[{buffer:h,size:2,type:e.FLOAT}]),d=g(e,1,j,e.RGBA,e.UNSIGNED_BYTE);d.minFilter=e.LINEAR,d.magFilter=e.LINEAR;var v=new a(e,[0,0],[[0,0,0],[0,0,0]],r,n,s,l,d,i,o,u,c,h,f),y={levels:[[],[],[]]};for(var b in t)y[b]=t[b];return y.colormap=y.colormap||\"jet\",v.update(y),v}e.exports=f;var d=t(\"bit-twiddle\"),p=t(\"gl-buffer\"),m=t(\"gl-vao\"),g=t(\"gl-texture2d\"),v=t(\"typedarray-pool\"),y=t(\"colormap\"),b=t(\"ndarray-ops\"),x=t(\"ndarray-pack\"),_=t(\"ndarray\"),w=t(\"surface-nets\"),M=t(\"gl-mat4/multiply\"),k=t(\"gl-mat4/invert\"),A=t(\"binary-search-bounds\"),T=t(\"ndarray-gradient\"),S=t(\"./lib/shaders\"),E=S.createShader,L=S.createContourShader,C=S.createPickShader,z=S.createPickContourShader,D=40,I=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],P=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],O=[[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]];!function(){for(var t=0;t<3;++t){var e=O[t],r=(t+1)%3,n=(t+2)%3;e[r+0]=1,e[n+3]=1,e[t+6]=1}}();var j=256,R=a.prototype;R.isTransparent=function(){return this.opacity<1},R.isOpaque=function(){if(this.opacity>=1)return!0;for(var t=0;t<3;++t)if(this._contourCounts[t].length>0||this._dynamicCounts[t]>0)return!0;return!1},R.pickSlots=1,R.setPickBase=function(t){this.pickId=t};var F=[0,0,0],N={showSurface:!1,showContour:!1,projections:[I.slice(),I.slice(),I.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]},B={model:I,view:I,projection:I,inverseModel:I.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},U=I.slice(),V=[1,0,0,0,1,0,0,0,1];R.draw=function(t){return s.call(this,t,!1)},R.drawTransparent=function(t){return s.call(this,t,!0)};var H={model:I,view:I,projection:I,inverseModel:I,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};R.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=H;r.model=t.model||I,r.view=t.view||I,r.projection=t.projection||I,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.permutation=V;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var s=o(r,this);if(s.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=s.projections[n],this._pickShader.uniforms.clipBounds=s.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(s.showContour){var l=this._contourPickShader;l.bind(),l.uniforms=r;var u=this._contourVAO;for(u.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]),l.uniforms.permutation=O[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(l.uniforms.height=this.contourLevels[a][n],u.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(l.uniforms.model=s.projections[n],l.uniforms.clipBounds=s.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){l.uniforms.permutation=O[a],e.lineWidth(this.contourWidth[a]);for(var c=0;c<this.contourLevels[a].length;++c)this._contourCounts[a][c]&&(l.uniforms.height=this.contourLevels[a][c],u.draw(e.LINES,this._contourCounts[a][c],this._contourOffsets[a][c]))}u.unbind()}},R.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var u=r.position;u[0]=u[1]=u[2]=0;for(var c=0;c<2;++c)for(var h=c?a:1-a,f=0;f<2;++f)for(var d=f?l:1-l,p=i+c,m=s+f,g=h*d,v=0;v<3;++v)u[v]+=this._field[v].get(p,m)*g;for(var y=this._pickResult.level,b=0;b<3;++b)if(y[b]=A.le(this.contourLevels[b],u[b]),y[b]<0)this.contourLevels[b].length>0&&(y[b]=0);else if(y[b]<this.contourLevels[b].length-1){var x=this.contourLevels[b][y[b]],_=this.contourLevels[b][y[b]+1];Math.abs(x-u[b])>Math.abs(_-u[b])&&(y[b]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],v=0;v<3;++v)r.dataCoordinate[v]=this._field[v].get(r.index[0],r.index[1]);return r},R.update=function(t){t=t||{},this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=u(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=u(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=u(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=h(t.contourColor)),\"contourProject\"in t&&(this.contourProject=u(t.contourProject,function(t){return u(t,Boolean)})),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=h(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=u(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=u(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0);var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var n=(e.shape[0]+2)*(e.shape[1]+2);n>this._field[2].data.length&&(v.freeFloat(this._field[2].data),this._field[2].data=v.mallocFloat(d.nextPow2(n))),this._field[2]=_(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),l(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(v.freeFloat(this._field[o].data),this._field[o].data=v.mallocFloat(this._field[2].size)),this._field[o]=_(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var s=t.coords;if(!Array.isArray(s)||3!==s.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var c=s[o];for(y=0;y<2;++y)if(c.shape[y]!==a[y])throw new Error(\"gl-surface: coords have incorrect shape\");l(this._field[o],c)}}else if(t.ticks){var f=t.ticks;if(!Array.isArray(f)||2!==f.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=f[o];if((Array.isArray(p)||p.length)&&(p=_(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var m=_(p.data,a);m.stride[o]=p.stride[0],m.stride[1^o]=0,l(this._field[o],m)}}else{for(o=0;o<2;++o){var g=[0,0];g[o]=1,this._field[o]=_(this._field[o].data,[a[0]+2,a[1]+2],g,0)}this._field[0].set(0,0,0);for(var y=0;y<a[0];++y)this._field[0].set(y+1,0,y);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),y=0;y<a[1];++y)this._field[1].set(0,y+1,y);this._field[1].set(0,a[1]+1,a[1]-1)}var b=this._field,x=_(v.mallocFloat(3*b[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)T(x.pick(o),b[o],\"mirror\");var M=_(v.mallocFloat(3*b[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(y=0;y<a[1]+2;++y){var k=x.get(0,o,y,0),A=x.get(0,o,y,1),S=x.get(1,o,y,0),E=x.get(1,o,y,1),L=x.get(2,o,y,0),C=x.get(2,o,y,1),z=S*C-E*L,D=L*A-C*k,I=k*E-A*S,O=Math.sqrt(z*z+D*D+I*I);O<1e-8?(O=Math.max(Math.abs(z),Math.abs(D),Math.abs(I)),O<1e-8?(I=1,D=z=0,O=1):O=1/O):O=1/Math.sqrt(O),M.set(o,y,0,z*O),M.set(o,y,1,D*O),M.set(o,y,2,I*O)}v.free(x.data);var j=[1/0,1/0,1/0],R=[-1/0,-1/0,-1/0],F=1/0,N=-1/0,B=(a[0]-1)*(a[1]-1)*6,U=v.mallocFloat(d.nextPow2(10*B)),V=0,H=0;for(o=0;o<a[0]-1;++o)t:for(y=0;y<a[1]-1;++y){for(var q=0;q<2;++q)for(var G=0;G<2;++G)for(var Y=0;Y<3;++Y){var W=this._field[Y].get(1+o+q,1+y+G);if(isNaN(W)||!isFinite(W))continue t}for(Y=0;Y<6;++Y){var X=o+P[Y][0],Z=y+P[Y][1],J=this._field[0].get(X+1,Z+1),Q=this._field[1].get(X+1,Z+1);W=this._field[2].get(X+1,Z+1);var K=W;z=M.get(X+1,Z+1,0),D=M.get(X+1,Z+1,1),I=M.get(X+1,Z+1,2),t.intensity&&(K=t.intensity.get(X,Z)),U[V++]=X,U[V++]=Z,U[V++]=J,U[V++]=Q,U[V++]=W,U[V++]=0,U[V++]=K,U[V++]=z,U[V++]=D,U[V++]=I,j[0]=Math.min(j[0],J),j[1]=Math.min(j[1],Q),j[2]=Math.min(j[2],W),F=Math.min(F,K),R[0]=Math.max(R[0],J),R[1]=Math.max(R[1],Q),R[2]=Math.max(R[2],W),N=Math.max(N,K),H+=1}}for(t.intensityBounds&&(F=+t.intensityBounds[0],N=+t.intensityBounds[1]),o=6;o<V;o+=10)U[o]=(U[o]-F)/(N-F);this._vertexCount=H,this._coordinateBuffer.update(U.subarray(0,V)),v.freeFloat(U),v.free(M.data),this.bounds=[j,R],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===F&&this.intensityBounds[1]===N||(r=!0),this.intensityBounds=[F,N]}if(\"levels\"in t){var $=t.levels;for($=Array.isArray($[0])?$.slice():[[],[],$],o=0;o<3;++o)$[o]=$[o].slice(),$.sort(function(t,e){return t-e});t:for(o=0;o<3;++o){if($[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;y<$[o].length;++y)if($[o][y]!==this.contourLevels[o][y]){r=!0;break t}}this.contourLevels=$}if(r){b=this._field,a=this.shape;for(var tt=[],et=0;et<3;++et){$=this.contourLevels[et];var rt=[],nt=[],it=[0,0,0];for(o=0;o<$.length;++o){var at=w(this._field[et],$[o]);rt.push(tt.length/5|0),H=0;t:for(y=0;y<at.cells.length;++y){var ot=at.cells[y];for(Y=0;Y<2;++Y){var st=at.positions[ot[Y]],lt=st[0],ut=0|Math.floor(lt),ct=lt-ut,ht=st[1],ft=0|Math.floor(ht),dt=ht-ft,pt=!1;e:for(var mt=0;mt<3;++mt){it[mt]=0;var gt=(et+mt+1)%3;for(q=0;q<2;++q){var vt=q?ct:1-ct;for(X=0|Math.min(Math.max(ut+q,0),a[0]),G=0;G<2;++G){var yt=G?dt:1-dt;if(Z=0|Math.min(Math.max(ft+G,0),a[1]),W=mt<2?this._field[gt].get(X,Z):(this.intensity.get(X,Z)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(W)||isNaN(W)){pt=!0;break e}var bt=vt*yt;it[mt]+=bt*W}}}if(pt){if(Y>0){for(var xt=0;xt<5;++xt)tt.pop();H-=1}continue t}tt.push(it[0],it[1],st[0],st[1],it[2]),H+=1}}nt.push(H)}this._contourOffsets[et]=rt,this._contourCounts[et]=nt}var _t=v.mallocFloat(tt.length);for(o=0;o<tt.length;++o)_t[o]=tt[o];this._contourBuffer.update(_t),v.freeFloat(_t)}t.colormap&&this._colorMap.setPixels(i(t.colormap))},R.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)v.freeFloat(this._field[t].data)},R.highlight=function(t){if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[0/0,0/0,0/0],void(this.highlightLevel=[-1,-1,-1]);for(var e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;var r;if(r=this.snapToData?t.dataCoordinate:t.position,this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=v.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var s=(o+1)%3,l=(o+2)%3,u=this._field[o],c=this._field[s],h=this._field[l],f=(this.intensity,w(u,r[o])),d=f.cells,p=f.positions;for(this._dynamicOffsets[o]=n,e=0;e<d.length;++e)for(var m=d[e],g=0;g<2;++g){var y=p[m[g]],b=+y[0],x=0|b,_=0|Math.min(x+1,i[0]),M=b-x,k=1-M,A=+y[1],T=0|A,S=0|Math.min(T+1,i[1]),E=A-T,L=1-E,C=k*L,z=k*E,D=M*L,I=M*E,P=C*c.get(x,T)+z*c.get(x,S)+D*c.get(_,T)+I*c.get(_,S),O=C*h.get(x,T)+z*h.get(x,S)+D*h.get(_,T)+I*h.get(_,S);if(isNaN(P)||isNaN(O)){g&&(n-=1);break}a[2*n+0]=P,a[2*n+1]=O,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=0/0,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),v.freeFloat(a)}}},{\"./lib/shaders\":249,\"binary-search-bounds\":59,\"bit-twiddle\":60,colormap:92,\"gl-buffer\":141,\"gl-mat4/invert\":165,\"gl-mat4/multiply\":167,\"gl-texture2d\":251,\"gl-vao\":255,ndarray:449,\"ndarray-gradient\":440,\"ndarray-ops\":443,\"ndarray-pack\":444,\"surface-nets\":511,\"typedarray-pool\":521}],251:[function(t,e,r){\"use strict\";function n(t){v=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],y=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],b=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function i(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}function a(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function o(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}function s(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function l(t,e,r,n,i,a,o,l){var u=l.dtype,c=l.shape.slice();if(c.length<2||c.length>3)throw new Error(\"gl-texture2d: Invalid ndarray, must be 2d or 3d\");var h=0,f=0,d=s(c,l.stride.slice());\"float32\"===u?h=t.FLOAT:\"float64\"===u?(h=t.FLOAT,d=!1,u=\"float32\"):\"uint8\"===u?h=t.UNSIGNED_BYTE:(h=t.UNSIGNED_BYTE,d=!1,u=\"uint8\");if(2===c.length)f=t.LUMINANCE,c=[c[0],c[1],1],l=p(l.data,c,[l.stride[0],l.stride[1],1],l.offset);else{if(3!==c.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===c[2])f=t.ALPHA;else if(2===c[2])f=t.LUMINANCE_ALPHA;else if(3===c[2])f=t.RGB;else{if(4!==c[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");f=t.RGBA}c[2]}if(f!==t.LUMINANCE&&f!==t.ALPHA||i!==t.LUMINANCE&&i!==t.ALPHA||(f=i),f!==i)throw new Error(\"gl-texture2d: Incompatible texture format for setPixels\");var v=l.size,y=o.indexOf(n)<0;if(y&&o.push(n),h===a&&d)0===l.offset&&l.data.length===v?y?t.texImage2D(t.TEXTURE_2D,n,i,c[0],c[1],0,i,a,l.data):t.texSubImage2D(t.TEXTURE_2D,n,e,r,c[0],c[1],i,a,l.data):y?t.texImage2D(t.TEXTURE_2D,n,i,c[0],c[1],0,i,a,l.data.subarray(l.offset,l.offset+v)):t.texSubImage2D(t.TEXTURE_2D,n,e,r,c[0],c[1],i,a,l.data.subarray(l.offset,l.offset+v));else{var b;b=a===t.FLOAT?g.mallocFloat32(v):g.mallocUint8(v);var _=p(b,c,[c[2],c[2]*c[0],1]);h===t.FLOAT&&a===t.UNSIGNED_BYTE?x(_,l):m.assign(_,l),y?t.texImage2D(t.TEXTURE_2D,n,i,c[0],c[1],0,i,a,b.subarray(0,v)):t.texSubImage2D(t.TEXTURE_2D,n,e,r,c[0],c[1],i,a,b.subarray(0,v)),a===t.FLOAT?g.freeFloat32(b):g.freeUint8(b)}}function u(t){var e=t.createTexture();return 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n=t(\"./builtins\");n=n.slice().filter(function(t){return!/^(gl\\_|texture)/.test(t)}),e.exports=n.concat([\"gl_VertexID\",\"gl_InstanceID\",\"gl_Position\",\"gl_PointSize\",\"gl_FragCoord\",\"gl_FrontFacing\",\"gl_FragDepth\",\"gl_PointCoord\",\"gl_MaxVertexAttribs\",\"gl_MaxVertexUniformVectors\",\"gl_MaxVertexOutputVectors\",\"gl_MaxFragmentInputVectors\",\"gl_MaxVertexTextureImageUnits\",\"gl_MaxCombinedTextureImageUnits\",\"gl_MaxTextureImageUnits\",\"gl_MaxFragmentUniformVectors\",\"gl_MaxDrawBuffers\",\"gl_MinProgramTexelOffset\",\"gl_MaxProgramTexelOffset\",\"gl_DepthRangeParameters\",\"gl_DepthRange\",\"trunc\",\"round\",\"roundEven\",\"isnan\",\"isinf\",\"floatBitsToInt\",\"floatBitsToUint\",\"intBitsToFloat\",\"uintBitsToFloat\",\"packSnorm2x16\",\"unpackSnorm2x16\",\"packUnorm2x16\",\"unpackUnorm2x16\",\"packHalf2x16\",\"unpackHalf2x16\",\"outerProduct\",\"transpose\",\"determinant\",\"inverse\",\"texture\",\"textureSize\",\"textureProj\",\"textureLod\",\"textureOffset\",\"texelFetch\",\"texelFetchOffset\",\"textureProjOffset\",\"textureLodOffset\",\"textureProjLod\",\"textureProjLodOffset\",\"textureGrad\",\"textureGradOffset\",\"textureProjGrad\",\"textureProjGradOffset\"])},{\"./builtins\":266}],266:[function(t,e,r){e.exports=[\"abs\",\"acos\",\"all\",\"any\",\"asin\",\"atan\",\"ceil\",\"clamp\",\"cos\",\"cross\",\"dFdx\",\"dFdy\",\"degrees\",\"distance\",\"dot\",\"equal\",\"exp\",\"exp2\",\"faceforward\",\"floor\",\"fract\",\"gl_BackColor\",\"gl_BackLightModelProduct\",\"gl_BackLightProduct\",\"gl_BackMaterial\",\"gl_BackSecondaryColor\",\"gl_ClipPlane\",\"gl_ClipVertex\",\"gl_Color\",\"gl_DepthRange\",\"gl_DepthRangeParameters\",\"gl_EyePlaneQ\",\"gl_EyePlaneR\",\"gl_EyePlaneS\",\"gl_EyePlaneT\",\"gl_Fog\",\"gl_FogCoord\",\"gl_FogFragCoord\",\"gl_FogParameters\",\"gl_FragColor\",\"gl_FragCoord\",\"gl_FragData\",\"gl_FragDepth\",\"gl_FragDepthEXT\",\"gl_FrontColor\",\"gl_FrontFacing\",\"gl_FrontLightModelProduct\",\"gl_FrontLightProduct\",\"gl_FrontMaterial\",\"gl_FrontSecondaryColor\",\"gl_LightModel\",\"gl_LightModelParameters\",\"gl_LightModelProducts\",\"gl_LightProducts\",\"gl_LightSource\",\"gl_LightSourceParameters\",\"gl_MaterialParameters\",\"gl_MaxClipPlanes\",\"gl_MaxCombinedTextureImageUnits\",\"gl_MaxDrawBuffers\",\"gl_MaxFragmentUniformComponents\",\"gl_MaxLights\",\"gl_MaxTextureCoords\",\"gl_MaxTextureImageUnits\",\"gl_MaxTextureUnits\",\"gl_MaxVaryingFloats\",\"gl_MaxVertexAttribs\",\"gl_MaxVertexTextureImageUnits\",\"gl_MaxVertexUniformComponents\",\"gl_ModelViewMatrix\",\"gl_ModelViewMatrixInverse\",\"gl_ModelViewMatrixInverseTranspose\",\"gl_ModelViewMatrixTranspose\",\"gl_ModelViewProjectionMatrix\",\"gl_ModelViewProjectionMatrixInverse\",\"gl_ModelViewProjectionMatrixInverseTranspose\",\"gl_ModelViewProjectionMatrixTranspose\",\"gl_MultiTexCoord0\",\"gl_MultiTexCoord1\",\"gl_MultiTexCoord2\",\"gl_MultiTexCoord3\",\"gl_MultiTexCoord4\",\"gl_MultiTexCoord5\",\"gl_MultiTexCoord6\",\"gl_MultiTexCoord7\",\"gl_Normal\",\"gl_NormalMatrix\",\"gl_NormalScale\",\"gl_ObjectPlaneQ\",\"gl_ObjectPlaneR\",\"gl_ObjectPlaneS\",\"gl_ObjectPlaneT\",\"gl_Point\",\"gl_PointCoord\",\"gl_PointParameters\",\"gl_PointSize\",\"gl_Position\",\"gl_ProjectionMatrix\",\"gl_ProjectionMatrixInverse\",\"gl_ProjectionMatrixInverseTranspose\",\"gl_ProjectionMatrixTranspose\",\"gl_SecondaryColor\",\"gl_TexCoord\",\"gl_TextureEnvColor\",\"gl_TextureMatrix\",\"gl_TextureMatrixInverse\",\"gl_TextureMatrixInverseTranspose\",\"gl_TextureMatrixTranspose\",\"gl_Vertex\",\"greaterThan\",\"greaterThanEqual\",\"inversesqrt\",\"length\",\"lessThan\",\"lessThanEqual\",\"log\",\"log2\",\"matrixCompMult\",\"max\",\"min\",\"mix\",\"mod\",\"normalize\",\"not\",\"notEqual\",\"pow\",\"radians\",\"reflect\",\"refract\",\"sign\",\"sin\",\"smoothstep\",\"sqrt\",\"step\",\"tan\",\"texture2D\",\"texture2DLod\",\"texture2DProj\",\"texture2DProjLod\",\"textureCube\",\"textureCubeLod\",\"texture2DLodEXT\",\"texture2DProjLodEXT\",\"textureCubeLodEXT\",\"texture2DGradEXT\",\"texture2DProjGradEXT\",\"textureCubeGradEXT\"]},{}],267:[function(t,e,r){var n=t(\"./literals\");e.exports=n.slice().concat([\"layout\",\"centroid\",\"smooth\",\"case\",\"mat2x2\",\"mat2x3\",\"mat2x4\",\"mat3x2\",\"mat3x3\",\"mat3x4\",\"mat4x2\",\"mat4x3\",\"mat4x4\",\"uint\",\"uvec2\",\"uvec3\",\"uvec4\",\"samplerCubeShadow\",\"sampler2DArray\",\"sampler2DArrayShadow\",\"isampler2D\",\"isampler3D\",\"isamplerCube\",\"isampler2DArray\",\"usampler2D\",\"usampler3D\",\"usamplerCube\",\"usampler2DArray\",\"coherent\",\"restrict\",\"readonly\",\"writeonly\",\"resource\",\"atomic_uint\",\"noperspective\",\"patch\",\"sample\",\"subroutine\",\"common\",\"partition\",\"active\",\"filter\",\"image1D\",\"image2D\",\"image3D\",\"imageCube\",\"iimage1D\",\"iimage2D\",\"iimage3D\",\"iimageCube\",\"uimage1D\",\"uimage2D\",\"uimage3D\",\"uimageCube\",\"image1DArray\",\"image2DArray\",\"iimage1DArray\",\"iimage2DArray\",\"uimage1DArray\",\"uimage2DArray\",\"image1DShadow\",\"image2DShadow\",\"image1DArrayShadow\",\"image2DArrayShadow\",\"imageBuffer\",\"iimageBuffer\",\"uimageBuffer\",\"sampler1DArray\",\"sampler1DArrayShadow\",\"isampler1D\",\"isampler1DArray\",\"usampler1D\",\"usampler1DArray\",\"isampler2DRect\",\"usampler2DRect\",\"samplerBuffer\",\"isamplerBuffer\",\"usamplerBuffer\",\"sampler2DMS\",\"isampler2DMS\",\"usampler2DMS\",\"sampler2DMSArray\",\"isampler2DMSArray\",\"usampler2DMSArray\"])},{\"./literals\":268}],268:[function(t,e,r){e.exports=[\"precision\",\"highp\",\"mediump\",\"lowp\",\"attribute\",\"const\",\"uniform\",\"varying\",\"break\",\"continue\",\"do\",\"for\",\"while\",\"if\",\"else\",\"in\",\"out\",\"inout\",\"float\",\"int\",\"void\",\"bool\",\"true\",\"false\",\"discard\",\"return\",\"mat2\",\"mat3\",\"mat4\",\"vec2\",\"vec3\",\"vec4\",\"ivec2\",\"ivec3\",\"ivec4\",\"bvec2\",\"bvec3\",\"bvec4\",\"sampler1D\",\"sampler2D\",\"sampler3D\",\"samplerCube\",\"sampler1DShadow\",\"sampler2DShadow\",\"struct\",\"asm\",\"class\",\"union\",\"enum\",\"typedef\",\"template\",\"this\",\"packed\",\"goto\",\"switch\",\"default\",\"inline\",\"noinline\",\"volatile\",\"public\",\"static\",\"extern\",\"external\",\"interface\",\"long\",\"short\",\"double\",\"half\",\"fixed\",\"unsigned\",\"input\",\"output\",\"hvec2\",\"hvec3\",\"hvec4\",\"dvec2\",\"dvec3\",\"dvec4\",\"fvec2\",\"fvec3\",\"fvec4\",\"sampler2DRect\",\"sampler3DRect\",\"sampler2DRectShadow\",\"sizeof\",\"cast\",\"namespace\",\"using\"]},{}],269:[function(t,e,r){e.exports=[\"<<=\",\">>=\",\"++\",\"--\",\"<<\",\">>\",\"<=\",\">=\",\"==\",\"!=\",\"&&\",\"||\",\"+=\",\"-=\",\"*=\",\"/=\",\"%=\",\"&=\",\"^^\",\"^=\",\"|=\",\"(\",\")\",\"[\",\"]\",\".\",\"!\",\"~\",\"*\",\"/\",\"%\",\"+\",\"-\",\"<\",\">\",\"&\",\"^\",\"|\",\"?\",\":\",\"=\",\",\",\";\",\"{\",\"}\"]},{}],270:[function(t,e,r){function n(t,e){var r=i(e),n=[];return n=n.concat(r(t)),n=n.concat(r(null))}var i=t(\"./index\");e.exports=n},{\"./index\":264}],271:[function(t,e,r){\"use strict\";function n(t,e,r){var n=this.cells=[];if(t instanceof ArrayBuffer){this.arrayBuffer=t;var a=new Int32Array(this.arrayBuffer);t=a[0],e=a[1],r=a[2],this.d=e+2*r;for(var o=0;o<this.d*this.d;o++){var s=a[i+o],l=a[i+o+1];n.push(s===l?null:a.subarray(s,l))}var u=a[i+n.length],c=a[i+n.length+1];this.keys=a.subarray(u,c),this.bboxes=a.subarray(c),this.insert=this._insertReadonly}else{this.d=e+2*r;for(var h=0;h<this.d*this.d;h++)n.push([]);this.keys=[],this.bboxes=[]}this.n=e,this.extent=t,this.padding=r,this.scale=e/t,this.uid=0;var f=r/e*t;this.min=-f,this.max=t+f}e.exports=n;var i=3;n.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertCell,this.uid++),this.keys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},n.prototype._insertReadonly=function(){throw\"Cannot insert into a GridIndex created from an ArrayBuffer.\"},n.prototype._insertCell=function(t,e,r,n,i,a){this.cells[i].push(a)},n.prototype.query=function(t,e,r,n){var i=this.min,a=this.max;if(t<=i&&e<=i&&a<=r&&a<=n)return Array.prototype.slice.call(this.keys);var o=[],s={};return this._forEachCell(t,e,r,n,this._queryCell,o,s),o},n.prototype._queryCell=function(t,e,r,n,i,a,o){var s=this.cells[i];if(null!==s)for(var l=this.keys,u=this.bboxes,c=0;c<s.length;c++){var h=s[c];if(void 0===o[h]){var f=4*h;t<=u[f+2]&&e<=u[f+3]&&r>=u[f+0]&&n>=u[f+1]?(o[h]=!0,a.push(l[h])):o[h]=!1}}},n.prototype._forEachCell=function(t,e,r,n,i,a,o){for(var s=this._convertToCellCoord(t),l=this._convertToCellCoord(e),u=this._convertToCellCoord(r),c=this._convertToCellCoord(n),h=s;h<=u;h++)for(var f=l;f<=c;f++){var d=this.d*f+h;if(i.call(this,t,e,r,n,d,a,o))return}},n.prototype._convertToCellCoord=function(t){return Math.max(0,Math.min(this.d-1,Math.floor(t*this.scale)+this.padding))},n.prototype.toArrayBuffer=function(){if(this.arrayBuffer)return this.arrayBuffer;for(var t=this.cells,e=i+this.cells.length+1+1,r=0,n=0;n<this.cells.length;n++)r+=this.cells[n].length;var a=new Int32Array(e+r+this.keys.length+this.bboxes.length);a[0]=this.extent,a[1]=this.n,a[2]=this.padding;for(var o=e,s=0;s<t.length;s++){var l=t[s];a[i+s]=o,a.set(l,o),o+=l.length}return a[i+t.length]=o,a.set(this.keys,o),o+=this.keys.length,a[i+t.length+1]=o,a.set(this.bboxes,o),o+=this.bboxes.length,a.buffer}},{}],272:[function(t,e,r){r.read=function(t,e,r,n,i){var a,o,s=8*i-n-1,l=(1<<s)-1,u=l>>1,c=-7,h=r?i-1:0,f=r?-1:1,d=t[e+h];for(h+=f,a=d&(1<<-c)-1,d>>=-c,c+=s;c>0;a=256*a+t[e+h],h+=f,c-=8);for(o=a&(1<<-c)-1,a>>=-c,c+=n;c>0;o=256*o+t[e+h],h+=f,c-=8);if(0===a)a=1-u;else{if(a===l)return o?0/0:1/0*(d?-1:1);o+=Math.pow(2,n),a-=u}return(d?-1:1)*o*Math.pow(2,a-n)},r.write=function(t,e,r,n,i,a){var o,s,l,u=8*a-i-1,c=(1<<u)-1,h=c>>1,f=23===i?Math.pow(2,-24)-Math.pow(2,-77):0,d=n?0:a-1,p=n?1:-1,m=e<0||0===e&&1/e<0?1:0;for(e=Math.abs(e),isNaN(e)||1/0===e?(s=isNaN(e)?1:0,o=c):(o=Math.floor(Math.log(e)/Math.LN2),e*(l=Math.pow(2,-o))<1&&(o--,l*=2),e+=o+h>=1?f/l:f*Math.pow(2,1-h),e*l>=2&&(o++,l/=2),o+h>=c?(s=0,o=c):o+h>=1?(s=(e*l-1)*Math.pow(2,i),o+=h):(s=e*Math.pow(2,h-1)*Math.pow(2,i),o=0));i>=8;t[r+d]=255&s,d+=p,s/=256,i-=8);for(o=o<<i|s,u+=i;u>0;t[r+d]=255&o,d+=p,o/=256,u-=8);t[r+d-p]|=128*m}},{}],273:[function(t,e,r){\"use strict\";function n(t,e,r){this.vertices=t,this.adjacent=e,this.boundary=r,this.lastVisited=-1}function i(t,e,r){this.vertices=t,this.cell=e,this.index=r}function a(t,e){return c(t.vertices,e.vertices)}function o(t){for(var e=[\"function orient(){var tuple=this.tuple;return test(\"],r=0;r<=t;++r)r>0&&e.push(\",\"),e.push(\"tuple[\",r,\"]\");e.push(\")}return orient\");var n=new Function(\"test\",e.join(\"\")),i=u[t+1];return i||(i=u),n(i)}function s(t,e,r){this.dimension=t,this.vertices=e,this.simplices=r,this.interior=r.filter(function(t){return!t.boundary}),this.tuple=new Array(t+1);for(var n=0;n<=t;++n)this.tuple[n]=this.vertices[n];var i=h[t];i||(i=h[t]=o(t)),this.orient=i}function l(t,e){var r=t.length;if(0===r)throw new Error(\"Must have at least d+1 points\");var i=t[0].length;if(r<=i)throw new Error(\"Must input at least d+1 points\");var a=t.slice(0,i+1),o=u.apply(void 0,a);if(0===o)throw new Error(\"Input not in general position\");for(var l=new Array(i+1),c=0;c<=i;++c)l[c]=c;o<0&&(l[0]=1,l[1]=0);for(var h=new n(l,new Array(i+1),!1),f=h.adjacent,d=new Array(i+2),c=0;c<=i;++c){for(var p=l.slice(),m=0;m<=i;++m)m===c&&(p[m]=-1);var g=p[0];p[0]=p[1],p[1]=g;var v=new n(p,new Array(i+1),!0);f[c]=v,d[c]=v}d[i+1]=h;for(var c=0;c<=i;++c)for(var p=f[c].vertices,y=f[c].adjacent,m=0;m<=i;++m){var b=p[m];if(b<0)y[m]=h;else for(var x=0;x<=i;++x)f[x].vertices.indexOf(b)<0&&(y[m]=f[x])}for(var _=new s(i,a,d),w=!!e,c=i+1;c<r;++c)_.insert(t[c],w);return _.boundary()}e.exports=l;var u=t(\"robust-orientation\"),c=t(\"simplicial-complex\").compareCells;n.prototype.flip=function(){var t=this.vertices[0];this.vertices[0]=this.vertices[1],this.vertices[1]=t;var e=this.adjacent[0];this.adjacent[0]=this.adjacent[1],this.adjacent[1]=e};var h=[],f=s.prototype;f.handleBoundaryDegeneracy=function(t,e){var r=this.dimension,n=this.vertices.length-1,i=this.tuple,a=this.vertices,o=[t];for(t.lastVisited=-n;o.length>0;){t=o.pop();for(var s=(t.vertices,t.adjacent),l=0;l<=r;++l){var u=s[l];if(u.boundary&&!(u.lastVisited<=-n)){for(var c=u.vertices,h=0;h<=r;++h){var f=c[h];i[h]=f<0?e:a[f]}var d=this.orient();if(d>0)return u;u.lastVisited=-n,0===d&&o.push(u)}}}return null},f.walk=function(t,e){var r=this.vertices.length-1,n=this.dimension,i=this.vertices,a=this.tuple,o=e?this.interior.length*Math.random()|0:this.interior.length-1,s=this.interior[o];t:for(;!s.boundary;){for(var l=s.vertices,u=s.adjacent,c=0;c<=n;++c)a[c]=i[l[c]];s.lastVisited=r;for(var c=0;c<=n;++c){var h=u[c];if(!(h.lastVisited>=r)){var f=a[c];a[c]=t;var d=this.orient();if(a[c]=f,d<0){s=h;continue t}h.boundary?h.lastVisited=-r:h.lastVisited=r}}return}return s},f.addPeaks=function(t,e){var r=this.vertices.length-1,o=this.dimension,s=this.vertices,l=this.tuple,u=this.interior,c=this.simplices,h=[e];e.lastVisited=r,e.vertices[e.vertices.indexOf(-1)]=r,e.boundary=!1,u.push(e);for(var f=[];h.length>0;){var e=h.pop(),d=e.vertices,p=e.adjacent,m=d.indexOf(r);if(!(m<0))for(var g=0;g<=o;++g)if(g!==m){var v=p[g];if(v.boundary&&!(v.lastVisited>=r)){var y=v.vertices;if(v.lastVisited!==-r){for(var b=0,x=0;x<=o;++x)y[x]<0?(b=x,l[x]=t):l[x]=s[y[x]];var _=this.orient();if(_>0){y[b]=r,v.boundary=!1,u.push(v),h.push(v),v.lastVisited=r;continue}v.lastVisited=-r}var w=v.adjacent,M=d.slice(),k=p.slice(),A=new n(M,k,!0);c.push(A);var T=w.indexOf(e);if(!(T<0)){w[T]=A,k[m]=v,M[g]=-1,k[g]=e,p[g]=A,A.flip();for(var x=0;x<=o;++x){var S=M[x];if(!(S<0||S===r)){for(var E=new Array(o-1),L=0,C=0;C<=o;++C){var z=M[C];z<0||C===x||(E[L++]=z)}f.push(new i(E,A,x))}}}}}}f.sort(a);for(var g=0;g+1<f.length;g+=2){var D=f[g],I=f[g+1],P=D.index,O=I.index;P<0||O<0||(D.cell.adjacent[D.index]=I.cell,I.cell.adjacent[I.index]=D.cell)}},f.insert=function(t,e){var r=this.vertices;r.push(t);var n=this.walk(t,e);if(n){for(var i=this.dimension,a=this.tuple,o=0;o<=i;++o){var s=n.vertices[o];a[o]=s<0?t:r[s]}var l=this.orient(a);l<0||(0!==l||(n=this.handleBoundaryDegeneracy(n,t)))&&this.addPeaks(t,n)}},f.boundary=function(){for(var t=this.dimension,e=[],r=this.simplices,n=r.length,i=0;i<n;++i){var a=r[i];if(a.boundary){for(var o=new Array(t),s=a.vertices,l=0,u=0,c=0;c<=t;++c)s[c]>=0?o[l++]=s[c]:u=1&c;if(u===(1&t)){var h=o[0];o[0]=o[1],o[1]=h}e.push(o)}}return e}},{\"robust-orientation\":489,\"simplicial-complex\":500}],274:[function(t,e,r){\"use strict\";function 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opacity\\n\\n    // unencode the extrusion vector that we snuck into the a_pos vector\\n    v_extrude = vec2(mod(a_pos, 2.0) * 2.0 - 1.0);\\n\\n    vec2 extrude = v_extrude * radius * u_extrude_scale;\\n    // multiply a_pos by 0.5, since we had it * 2 in order to sneak\\n    // in extrusion data\\n    gl_Position = u_matrix * vec4(floor(a_pos * 0.5), 0, 1);\\n\\n    if (u_scale_with_map) {\\n        gl_Position.xy += extrude;\\n    } else {\\n        gl_Position.xy += extrude * gl_Position.w;\\n    }\\n\\n    // This is a minimum blur distance that serves as a faux-antialiasing for\\n    // the circle. since blur is a ratio of the circle's size and the intent is\\n    // to keep the blur at roughly 1px, the two are inversely related.\\n    v_antialiasblur = 1.0 / u_devicepixelratio / radius;\\n}\\n\"},line:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform lowp vec4 u_color;\\nuniform lowp float u_opacity;\\nuniform float u_blur;\\n\\nvarying vec2 v_linewidth;\\nvarying vec2 v_normal;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    // Calculate the distance of the pixel from the line in pixels.\\n    float dist = length(v_normal) * v_linewidth.s;\\n\\n    // Calculate the antialiasing fade factor. This is either when fading in\\n    // the line in case of an offset line (v_linewidth.t) or when fading out\\n    // (v_linewidth.s)\\n    float blur = u_blur * v_gamma_scale;\\n    float alpha = clamp(min(dist - (v_linewidth.t - blur), v_linewidth.s - dist) / blur, 0.0, 1.0);\\n\\n    gl_FragColor = u_color * (alpha * u_opacity);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\n// floor(127 / 2) == 63.0\\n// the maximum allowed miter limit is 2.0 at the moment. the extrude normal is\\n// stored in a byte (-128..127). we scale regular normals up to length 63, but\\n// there are also \\\"special\\\" normals that have a bigger length (of up to 126 in\\n// this case).\\n// #define scale 63.0\\n#define scale 0.015873016\\n\\nattribute vec2 a_pos;\\nattribute vec4 a_data;\\n\\nuniform mat4 u_matrix;\\nuniform mediump float u_ratio;\\nuniform mediump float u_linewidth;\\nuniform mediump float u_gapwidth;\\nuniform mediump float u_antialiasing;\\nuniform mediump float u_extra;\\nuniform mat2 u_antialiasingmatrix;\\nuniform mediump float u_offset;\\nuniform mediump float u_blur;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_linewidth;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    vec2 a_extrude = a_data.xy - 128.0;\\n    float a_direction = mod(a_data.z, 4.0) - 1.0;\\n\\n    // We store the texture normals in the most insignificant bit\\n    // transform y so that 0 => -1 and 1 => 1\\n    // In the texture normal, x is 0 if the normal points straight up/down and 1 if it's a round cap\\n    // y is 1 if the normal points up, and -1 if it points down\\n    mediump vec2 normal = mod(a_pos, 2.0);\\n    normal.y = sign(normal.y - 0.5);\\n    v_normal = normal;\\n\\n    float inset = u_gapwidth + (u_gapwidth > 0.0 ? u_antialiasing : 0.0);\\n    float outset = u_gapwidth + u_linewidth * (u_gapwidth > 0.0 ? 2.0 : 1.0) + u_antialiasing;\\n\\n    // Scale the extrusion vector down to a normal and then up by the line width\\n    // of this vertex.\\n    mediump vec2 dist = outset * a_extrude * scale;\\n\\n    // Calculate the offset when drawing a line that is to the side of the actual line.\\n    // We do this by creating a vector that points towards the extrude, but rotate\\n    // it when we're drawing round end points (a_direction = -1 or 1) since their\\n    // extrude vector points in another direction.\\n    mediump float u = 0.5 * a_direction;\\n    mediump float t = 1.0 - abs(u);\\n    mediump vec2 offset = u_offset * a_extrude * scale * normal.y * mat2(t, -u, u, t);\\n\\n    // Remove the texture normal bit of the position before scaling it with the\\n    // model/view matrix.\\n    gl_Position = u_matrix * vec4(floor(a_pos * 0.5) + (offset + dist) / u_ratio, 0.0, 1.0);\\n\\n    // position of y on the screen\\n    float y = gl_Position.y / gl_Position.w;\\n\\n    // how much features are squished in the y direction by the tilt\\n    float squish_scale = length(a_extrude) / length(u_antialiasingmatrix * a_extrude);\\n\\n    // how much features are squished in all directions by the perspectiveness\\n    float perspective_scale = 1.0 / (1.0 - min(y * u_extra, 0.9));\\n\\n    v_linewidth = vec2(outset, inset);\\n    v_gamma_scale = perspective_scale * squish_scale;\\n}\\n\"},linepattern:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform float u_blur;\\n\\nuniform vec2 u_pattern_size_a;\\nuniform vec2 u_pattern_size_b;\\nuniform vec2 u_pattern_tl_a;\\nuniform vec2 u_pattern_br_a;\\nuniform vec2 u_pattern_tl_b;\\nuniform vec2 u_pattern_br_b;\\nuniform float u_fade;\\nuniform float u_opacity;\\n\\nuniform sampler2D u_image;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_linewidth;\\nvarying float v_linesofar;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    // Calculate the distance of the pixel from the line in pixels.\\n    float dist = length(v_normal) * v_linewidth.s;\\n\\n    // Calculate the antialiasing fade factor. This is either when fading in\\n    // the line in case of an offset line (v_linewidth.t) or when fading out\\n    // (v_linewidth.s)\\n    float blur = u_blur * v_gamma_scale;\\n    float alpha = clamp(min(dist - (v_linewidth.t - blur), v_linewidth.s - dist) / blur, 0.0, 1.0);\\n\\n    float x_a = mod(v_linesofar / u_pattern_size_a.x, 1.0);\\n    float x_b = mod(v_linesofar / u_pattern_size_b.x, 1.0);\\n    float y_a = 0.5 + (v_normal.y * v_linewidth.s / u_pattern_size_a.y);\\n    float y_b = 0.5 + (v_normal.y * v_linewidth.s / u_pattern_size_b.y);\\n    vec2 pos_a = mix(u_pattern_tl_a, u_pattern_br_a, vec2(x_a, y_a));\\n    vec2 pos_b = mix(u_pattern_tl_b, u_pattern_br_b, vec2(x_b, y_b));\\n\\n    vec4 color = mix(texture2D(u_image, pos_a), texture2D(u_image, pos_b), u_fade);\\n\\n    alpha *= u_opacity;\\n\\n    gl_FragColor = color * alpha;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\n// floor(127 / 2) == 63.0\\n// the maximum allowed miter limit is 2.0 at the moment. the extrude normal is\\n// stored in a byte (-128..127). we scale regular normals up to length 63, but\\n// there are also \\\"special\\\" normals that have a bigger length (of up to 126 in\\n// this case).\\n// #define scale 63.0\\n#define scale 0.015873016\\n\\n// We scale the distance before adding it to the buffers so that we can store\\n// long distances for long segments. Use this value to unscale the distance.\\n#define LINE_DISTANCE_SCALE 2.0\\n\\nattribute vec2 a_pos;\\nattribute vec4 a_data;\\n\\nuniform mat4 u_matrix;\\nuniform mediump float u_ratio;\\nuniform mediump float u_linewidth;\\nuniform mediump float u_gapwidth;\\nuniform mediump float u_antialiasing;\\nuniform mediump float u_extra;\\nuniform mat2 u_antialiasingmatrix;\\nuniform mediump float u_offset;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_linewidth;\\nvarying float v_linesofar;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    vec2 a_extrude = a_data.xy - 128.0;\\n    float a_direction = mod(a_data.z, 4.0) - 1.0;\\n    float a_linesofar = (floor(a_data.z / 4.0) + a_data.w * 64.0) * LINE_DISTANCE_SCALE;\\n\\n    // We store the texture normals in the most insignificant bit\\n    // transform y so that 0 => -1 and 1 => 1\\n    // In the texture normal, x is 0 if the normal points straight up/down and 1 if it's a round cap\\n    // y is 1 if the normal points up, and -1 if it points down\\n    mediump vec2 normal = mod(a_pos, 2.0);\\n    normal.y = sign(normal.y - 0.5);\\n    v_normal = normal;\\n\\n    float inset = u_gapwidth + (u_gapwidth > 0.0 ? u_antialiasing : 0.0);\\n    float outset = u_gapwidth + u_linewidth * (u_gapwidth > 0.0 ? 2.0 : 1.0) + u_antialiasing;\\n\\n    // Scale the extrusion vector down to a normal and then up by the line width\\n    // of this vertex.\\n    mediump vec2 dist = outset * a_extrude * scale;\\n\\n    // Calculate the offset when drawing a line that is to the side of the actual line.\\n    // We do this by creating a vector that points towards the extrude, but rotate\\n    // it when we're drawing round end points (a_direction = -1 or 1) since their\\n    // extrude vector points in another direction.\\n    mediump float u = 0.5 * a_direction;\\n    mediump float t = 1.0 - abs(u);\\n    mediump vec2 offset = u_offset * a_extrude * scale * normal.y * mat2(t, -u, u, t);\\n\\n    // Remove the texture normal bit of the position before scaling it with the\\n    // model/view matrix.\\n    gl_Position = u_matrix * vec4(floor(a_pos * 0.5) + (offset + dist) / u_ratio, 0.0, 1.0);\\n    v_linesofar = a_linesofar;\\n\\n    // position of y on the screen\\n    float y = gl_Position.y / gl_Position.w;\\n\\n    // how much features are squished in the y direction by the tilt\\n    float squish_scale = length(a_extrude) / length(u_antialiasingmatrix * a_extrude);\\n\\n    // how much features are squished in all directions by the perspectiveness\\n    float perspective_scale = 1.0 / (1.0 - min(y * u_extra, 0.9));\\n\\n    v_linewidth = vec2(outset, inset);\\n    v_gamma_scale = perspective_scale * squish_scale;\\n}\\n\"},linesdfpattern:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform lowp vec4 u_color;\\nuniform lowp float u_opacity;\\n\\nuniform float u_blur;\\nuniform sampler2D u_image;\\nuniform float u_sdfgamma;\\nuniform float u_mix;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_linewidth;\\nvarying vec2 v_tex_a;\\nvarying vec2 v_tex_b;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    // Calculate the distance of the pixel from the line in pixels.\\n    float dist = length(v_normal) * v_linewidth.s;\\n\\n    // Calculate the antialiasing fade factor. This is either when fading in\\n    // the line in case of an offset line (v_linewidth.t) or when fading out\\n    // (v_linewidth.s)\\n    float blur = u_blur * v_gamma_scale;\\n    float alpha = clamp(min(dist - (v_linewidth.t - blur), v_linewidth.s - dist) / blur, 0.0, 1.0);\\n\\n    float sdfdist_a = texture2D(u_image, v_tex_a).a;\\n    float sdfdist_b = texture2D(u_image, v_tex_b).a;\\n    float sdfdist = mix(sdfdist_a, sdfdist_b, u_mix);\\n    alpha *= smoothstep(0.5 - u_sdfgamma, 0.5 + u_sdfgamma, sdfdist);\\n\\n    gl_FragColor = u_color * (alpha * u_opacity);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\n// floor(127 / 2) == 63.0\\n// the maximum allowed miter limit is 2.0 at the moment. the extrude normal is\\n// stored in a byte (-128..127). we scale regular normals up to length 63, but\\n// there are also \\\"special\\\" normals that have a bigger length (of up to 126 in\\n// this case).\\n// #define scale 63.0\\n#define scale 0.015873016\\n\\n// We scale the distance before adding it to the buffers so that we can store\\n// long distances for long segments. Use this value to unscale the distance.\\n#define LINE_DISTANCE_SCALE 2.0\\n\\nattribute vec2 a_pos;\\nattribute vec4 a_data;\\n\\nuniform mat4 u_matrix;\\nuniform mediump float u_ratio;\\nuniform mediump float u_linewidth;\\nuniform mediump float u_gapwidth;\\nuniform mediump float u_antialiasing;\\nuniform vec2 u_patternscale_a;\\nuniform float u_tex_y_a;\\nuniform vec2 u_patternscale_b;\\nuniform float u_tex_y_b;\\nuniform float u_extra;\\nuniform mat2 u_antialiasingmatrix;\\nuniform mediump float u_offset;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_linewidth;\\nvarying vec2 v_tex_a;\\nvarying vec2 v_tex_b;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    vec2 a_extrude = a_data.xy - 128.0;\\n    float a_direction = mod(a_data.z, 4.0) - 1.0;\\n    float a_linesofar = (floor(a_data.z / 4.0) + a_data.w * 64.0) * LINE_DISTANCE_SCALE;\\n\\n    // We store the texture normals in the most insignificant bit\\n    // transform y so that 0 => -1 and 1 => 1\\n    // In the texture normal, x is 0 if the normal points straight up/down and 1 if it's a round cap\\n    // y is 1 if the normal points up, and -1 if it points down\\n    mediump vec2 normal = mod(a_pos, 2.0);\\n    normal.y = sign(normal.y - 0.5);\\n    v_normal = normal;\\n\\n    float inset = u_gapwidth + (u_gapwidth > 0.0 ? u_antialiasing : 0.0);\\n    float outset = u_gapwidth + u_linewidth * (u_gapwidth > 0.0 ? 2.0 : 1.0) + u_antialiasing;\\n\\n    // Scale the extrusion vector down to a normal and then up by the line width\\n    // of this vertex.\\n    mediump vec2 dist = outset * a_extrude * scale;\\n\\n    // Calculate the offset when drawing a line that is to the side of the actual line.\\n    // We do this by creating a vector that points towards the extrude, but rotate\\n    // it when we're drawing round end points (a_direction = -1 or 1) since their\\n    // extrude vector points in another direction.\\n    mediump float u = 0.5 * a_direction;\\n    mediump float t = 1.0 - abs(u);\\n    mediump vec2 offset = u_offset * a_extrude * scale * normal.y * mat2(t, -u, u, t);\\n\\n    // Remove the texture normal bit of the position before scaling it with the\\n    // model/view matrix.\\n    gl_Position = u_matrix * vec4(floor(a_pos * 0.5) + (offset + dist) / u_ratio, 0.0, 1.0);\\n\\n    v_tex_a = vec2(a_linesofar * u_patternscale_a.x, normal.y * u_patternscale_a.y + u_tex_y_a);\\n    v_tex_b = vec2(a_linesofar * u_patternscale_b.x, normal.y * u_patternscale_b.y + u_tex_y_b);\\n\\n    // position of y on the screen\\n    float y = gl_Position.y / gl_Position.w;\\n\\n    // how much features are squished in the y direction by the tilt\\n    float squish_scale = length(a_extrude) / length(u_antialiasingmatrix * a_extrude);\\n\\n    // how much features are squished in all directions by the perspectiveness\\n    float perspective_scale = 1.0 / (1.0 - min(y * u_extra, 0.9));\\n\\n    v_linewidth = vec2(outset, inset);\\n    v_gamma_scale = perspective_scale * squish_scale;\\n}\\n\"},outline:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\n#pragma mapbox: define lowp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\n\\nvarying vec2 v_pos;\\n\\nvoid main() {\\n    #pragma mapbox: initialize lowp vec4 outline_color\\n    #pragma mapbox: initialize lowp float opacity\\n\\n    float dist = length(v_pos - gl_FragCoord.xy);\\n    float alpha = smoothstep(1.0, 0.0, dist);\\n    gl_FragColor = outline_color * (alpha * opacity);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nattribute vec2 a_pos;\\n\\nuniform mat4 u_matrix;\\nuniform vec2 u_world;\\n\\nvarying vec2 v_pos;\\n\\n#pragma mapbox: define lowp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\n\\nvoid main() {\\n    #pragma mapbox: initialize lowp vec4 outline_color\\n    #pragma mapbox: initialize lowp float opacity\\n\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n    v_pos = (gl_Position.xy / gl_Position.w + 1.0) / 2.0 * u_world;\\n}\\n\"},outlinepattern:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform float u_opacity;\\nuniform vec2 u_pattern_tl_a;\\nuniform vec2 u_pattern_br_a;\\nuniform vec2 u_pattern_tl_b;\\nuniform vec2 u_pattern_br_b;\\nuniform float u_mix;\\n\\nuniform sampler2D u_image;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\nvarying vec2 v_pos;\\n\\nvoid main() {\\n    vec2 imagecoord = mod(v_pos_a, 1.0);\\n    vec2 pos = mix(u_pattern_tl_a, u_pattern_br_a, imagecoord);\\n    vec4 color1 = texture2D(u_image, pos);\\n\\n    vec2 imagecoord_b = mod(v_pos_b, 1.0);\\n    vec2 pos2 = mix(u_pattern_tl_b, u_pattern_br_b, imagecoord_b);\\n    vec4 color2 = texture2D(u_image, pos2);\\n\\n    // find distance to outline for alpha interpolation\\n\\n    float dist = length(v_pos - gl_FragCoord.xy);\\n    float alpha = smoothstep(1.0, 0.0, dist);\\n    \\n\\n    gl_FragColor = mix(color1, color2, u_mix) * alpha * u_opacity;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform vec2 u_pattern_size_a;\\nuniform vec2 u_pattern_size_b;\\nuniform vec2 u_pixel_coord_upper;\\nuniform vec2 u_pixel_coord_lower;\\nuniform float u_scale_a;\\nuniform float u_scale_b;\\nuniform float u_tile_units_to_pixels;\\n\\nattribute vec2 a_pos;\\n\\nuniform mat4 u_matrix;\\nuniform vec2 u_world;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\nvarying vec2 v_pos;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n    vec2 scaled_size_a = u_scale_a * u_pattern_size_a;\\n    vec2 scaled_size_b = u_scale_b * u_pattern_size_b;\\n\\n    // the correct offset needs to be calculated.\\n    //\\n    // The offset depends on how many pixels are between the world origin and\\n    // the edge of the tile:\\n    // vec2 offset = mod(pixel_coord, size)\\n    //\\n    // At high zoom levels there are a ton of pixels between the world origin\\n    // and the edge of the tile. The glsl spec only guarantees 16 bits of\\n    // precision for highp floats. We need more than that.\\n    //\\n    // The pixel_coord is passed in as two 16 bit values:\\n    // pixel_coord_upper = floor(pixel_coord / 2^16)\\n    // pixel_coord_lower = mod(pixel_coord, 2^16)\\n    //\\n    // The offset is calculated in a series of steps that should preserve this precision:\\n    vec2 offset_a = mod(mod(mod(u_pixel_coord_upper, scaled_size_a) * 256.0, scaled_size_a) * 256.0 + u_pixel_coord_lower, scaled_size_a);\\n    vec2 offset_b = mod(mod(mod(u_pixel_coord_upper, scaled_size_b) * 256.0, scaled_size_b) * 256.0 + u_pixel_coord_lower, scaled_size_b);\\n\\n    v_pos_a = (u_tile_units_to_pixels * a_pos + offset_a) / scaled_size_a;\\n    v_pos_b = (u_tile_units_to_pixels * a_pos + offset_b) / scaled_size_b;\\n\\n    v_pos = (gl_Position.xy / gl_Position.w + 1.0) / 2.0 * u_world;\\n}\\n\"},pattern:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform float u_opacity;\\nuniform vec2 u_pattern_tl_a;\\nuniform vec2 u_pattern_br_a;\\nuniform vec2 u_pattern_tl_b;\\nuniform vec2 u_pattern_br_b;\\nuniform float u_mix;\\n\\nuniform sampler2D u_image;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\n\\nvoid main() {\\n\\n    vec2 imagecoord = mod(v_pos_a, 1.0);\\n    vec2 pos = mix(u_pattern_tl_a, u_pattern_br_a, imagecoord);\\n    vec4 color1 = texture2D(u_image, pos);\\n\\n    vec2 imagecoord_b = mod(v_pos_b, 1.0);\\n    vec2 pos2 = mix(u_pattern_tl_b, u_pattern_br_b, imagecoord_b);\\n    vec4 color2 = texture2D(u_image, pos2);\\n\\n    gl_FragColor = mix(color1, color2, u_mix) * u_opacity;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform mat4 u_matrix;\\nuniform vec2 u_pattern_size_a;\\nuniform vec2 u_pattern_size_b;\\nuniform vec2 u_pixel_coord_upper;\\nuniform vec2 u_pixel_coord_lower;\\nuniform float u_scale_a;\\nuniform float u_scale_b;\\nuniform float u_tile_units_to_pixels;\\n\\nattribute vec2 a_pos;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n    vec2 scaled_size_a = u_scale_a * u_pattern_size_a;\\n    vec2 scaled_size_b = u_scale_b * u_pattern_size_b;\\n\\n    // the correct offset needs to be calculated.\\n    //\\n    // The offset depends on how many pixels are between the world origin and\\n    // the edge of the tile:\\n    // vec2 offset = mod(pixel_coord, size)\\n    //\\n    // At high zoom levels there are a ton of pixels between the world origin\\n    // and the edge of the tile. The glsl spec only guarantees 16 bits of\\n    // precision for highp floats. We need more than that.\\n    //\\n    // The pixel_coord is passed in as two 16 bit values:\\n    // pixel_coord_upper = floor(pixel_coord / 2^16)\\n    // pixel_coord_lower = mod(pixel_coord, 2^16)\\n    //\\n    // The offset is calculated in a series of steps that should preserve this precision:\\n    vec2 offset_a = mod(mod(mod(u_pixel_coord_upper, scaled_size_a) * 256.0, scaled_size_a) * 256.0 + u_pixel_coord_lower, scaled_size_a);\\n    vec2 offset_b = mod(mod(mod(u_pixel_coord_upper, scaled_size_b) * 256.0, scaled_size_b) * 256.0 + u_pixel_coord_lower, scaled_size_b);\\n\\n    v_pos_a = (u_tile_units_to_pixels * a_pos + offset_a) / scaled_size_a;\\n    v_pos_b = (u_tile_units_to_pixels * a_pos + offset_b) / scaled_size_b;\\n}\\n\"},raster:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform float u_opacity0;\\nuniform float u_opacity1;\\nuniform sampler2D u_image0;\\nuniform sampler2D u_image1;\\nvarying vec2 v_pos0;\\nvarying vec2 v_pos1;\\n\\nuniform float u_brightness_low;\\nuniform float u_brightness_high;\\n\\nuniform float u_saturation_factor;\\nuniform float u_contrast_factor;\\nuniform vec3 u_spin_weights;\\n\\nvoid main() {\\n\\n    // read and cross-fade colors from the main and parent tiles\\n    vec4 color0 = texture2D(u_image0, v_pos0);\\n    vec4 color1 = texture2D(u_image1, v_pos1);\\n    vec4 color = color0 * u_opacity0 + color1 * u_opacity1;\\n    vec3 rgb = color.rgb;\\n\\n    // spin\\n    rgb = vec3(\\n        dot(rgb, u_spin_weights.xyz),\\n        dot(rgb, u_spin_weights.zxy),\\n        dot(rgb, u_spin_weights.yzx));\\n\\n    // saturation\\n    float average = (color.r + color.g + color.b) / 3.0;\\n    rgb += (average - rgb) * u_saturation_factor;\\n\\n    // contrast\\n    rgb = (rgb - 0.5) * u_contrast_factor + 0.5;\\n\\n    // brightness\\n    vec3 u_high_vec = vec3(u_brightness_low, u_brightness_low, u_brightness_low);\\n    vec3 u_low_vec = vec3(u_brightness_high, u_brightness_high, u_brightness_high);\\n\\n    gl_FragColor = vec4(mix(u_high_vec, u_low_vec, rgb), color.a);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",\n",
       "vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform mat4 u_matrix;\\nuniform vec2 u_tl_parent;\\nuniform float u_scale_parent;\\nuniform float u_buffer_scale;\\n\\nattribute vec2 a_pos;\\nattribute vec2 a_texture_pos;\\n\\nvarying vec2 v_pos0;\\nvarying vec2 v_pos1;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n    v_pos0 = (((a_texture_pos / 32767.0) - 0.5) / u_buffer_scale ) + 0.5;\\n    v_pos1 = (v_pos0 * u_scale_parent) + u_tl_parent;\\n}\\n\"},icon:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform sampler2D u_texture;\\nuniform sampler2D u_fadetexture;\\nuniform lowp float u_opacity;\\n\\nvarying vec2 v_tex;\\nvarying vec2 v_fade_tex;\\n\\nvoid main() {\\n    lowp float alpha = texture2D(u_fadetexture, v_fade_tex).a * u_opacity;\\n    gl_FragColor = texture2D(u_texture, v_tex) * alpha;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nattribute vec2 a_pos;\\nattribute vec2 a_offset;\\nattribute vec2 a_texture_pos;\\nattribute vec4 a_data;\\n\\n\\n// matrix is for the vertex position.\\nuniform mat4 u_matrix;\\n\\nuniform mediump float u_zoom;\\nuniform bool u_rotate_with_map;\\nuniform vec2 u_extrude_scale;\\n\\nuniform vec2 u_texsize;\\n\\nvarying vec2 v_tex;\\nvarying vec2 v_fade_tex;\\n\\nvoid main() {\\n    vec2 a_tex = a_texture_pos.xy;\\n    mediump float a_labelminzoom = a_data[0];\\n    mediump vec2 a_zoom = a_data.pq;\\n    mediump float a_minzoom = a_zoom[0];\\n    mediump float a_maxzoom = a_zoom[1];\\n\\n    // u_zoom is the current zoom level adjusted for the change in font size\\n    mediump float z = 2.0 - step(a_minzoom, u_zoom) - (1.0 - step(a_maxzoom, u_zoom));\\n\\n    vec2 extrude = u_extrude_scale * (a_offset / 64.0);\\n    if (u_rotate_with_map) {\\n        gl_Position = u_matrix * vec4(a_pos + extrude, 0, 1);\\n        gl_Position.z += z * gl_Position.w;\\n    } else {\\n        gl_Position = u_matrix * vec4(a_pos, 0, 1) + vec4(extrude, 0, 0);\\n    }\\n\\n    v_tex = a_tex / u_texsize;\\n    v_fade_tex = vec2(a_labelminzoom / 255.0, 0.0);\\n}\\n\"},sdf:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform sampler2D u_texture;\\nuniform sampler2D u_fadetexture;\\nuniform lowp vec4 u_color;\\nuniform lowp float u_opacity;\\nuniform lowp float u_buffer;\\nuniform lowp float u_gamma;\\n\\nvarying vec2 v_tex;\\nvarying vec2 v_fade_tex;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    lowp float dist = texture2D(u_texture, v_tex).a;\\n    lowp float fade_alpha = texture2D(u_fadetexture, v_fade_tex).a;\\n    lowp float gamma = u_gamma * v_gamma_scale;\\n    lowp float alpha = smoothstep(u_buffer - gamma, u_buffer + gamma, dist) * fade_alpha;\\n\\n    gl_FragColor = u_color * (alpha * u_opacity);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nconst float PI = 3.141592653589793;\\n\\nattribute vec2 a_pos;\\nattribute vec2 a_offset;\\nattribute vec2 a_texture_pos;\\nattribute vec4 a_data;\\n\\n\\n// matrix is for the vertex position.\\nuniform mat4 u_matrix;\\n\\nuniform mediump float u_zoom;\\nuniform bool u_rotate_with_map;\\nuniform bool u_pitch_with_map;\\nuniform mediump float u_pitch;\\nuniform mediump float u_bearing;\\nuniform mediump float u_aspect_ratio;\\nuniform vec2 u_extrude_scale;\\n\\nuniform vec2 u_texsize;\\n\\nvarying vec2 v_tex;\\nvarying vec2 v_fade_tex;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    vec2 a_tex = a_texture_pos.xy;\\n    mediump float a_labelminzoom = a_data[0];\\n    mediump vec2 a_zoom = a_data.pq;\\n    mediump float a_minzoom = a_zoom[0];\\n    mediump float a_maxzoom = a_zoom[1];\\n\\n    // u_zoom is the current zoom level adjusted for the change in font size\\n    mediump float z = 2.0 - step(a_minzoom, u_zoom) - (1.0 - step(a_maxzoom, u_zoom));\\n\\n    // pitch-alignment: map\\n    // rotation-alignment: map | viewport\\n    if (u_pitch_with_map) {\\n        lowp float angle = u_rotate_with_map ? (a_data[1] / 256.0 * 2.0 * PI) : u_bearing;\\n        lowp float asin = sin(angle);\\n        lowp float acos = cos(angle);\\n        mat2 RotationMatrix = mat2(acos, asin, -1.0 * asin, acos);\\n        vec2 offset = RotationMatrix * a_offset;\\n        vec2 extrude = u_extrude_scale * (offset / 64.0);\\n        gl_Position = u_matrix * vec4(a_pos + extrude, 0, 1);\\n        gl_Position.z += z * gl_Position.w;\\n    // pitch-alignment: viewport\\n    // rotation-alignment: map\\n    } else if (u_rotate_with_map) {\\n        // foreshortening factor to apply on pitched maps\\n        // as a label goes from horizontal <=> vertical in angle\\n        // it goes from 0% foreshortening to up to around 70% foreshortening\\n        lowp float pitchfactor = 1.0 - cos(u_pitch * sin(u_pitch * 0.75));\\n\\n        lowp float lineangle = a_data[1] / 256.0 * 2.0 * PI;\\n\\n        // use the lineangle to position points a,b along the line\\n        // project the points and calculate the label angle in projected space\\n        // this calculation allows labels to be rendered unskewed on pitched maps\\n        vec4 a = u_matrix * vec4(a_pos, 0, 1);\\n        vec4 b = u_matrix * vec4(a_pos + vec2(cos(lineangle),sin(lineangle)), 0, 1);\\n        lowp float angle = atan((b[1]/b[3] - a[1]/a[3])/u_aspect_ratio, b[0]/b[3] - a[0]/a[3]);\\n        lowp float asin = sin(angle);\\n        lowp float acos = cos(angle);\\n        mat2 RotationMatrix = mat2(acos, -1.0 * asin, asin, acos);\\n\\n        vec2 offset = RotationMatrix * (vec2((1.0-pitchfactor)+(pitchfactor*cos(angle*2.0)), 1.0) * a_offset);\\n        vec2 extrude = u_extrude_scale * (offset / 64.0);\\n        gl_Position = u_matrix * vec4(a_pos, 0, 1) + vec4(extrude, 0, 0);\\n        gl_Position.z += z * gl_Position.w;\\n    // pitch-alignment: viewport\\n    // rotation-alignment: viewport\\n    } else {\\n        vec2 extrude = u_extrude_scale * (a_offset / 64.0);\\n        gl_Position = u_matrix * vec4(a_pos, 0, 1) + vec4(extrude, 0, 0);\\n    }\\n\\n    v_gamma_scale = (gl_Position.w - 0.5);\\n\\n    v_tex = a_tex / u_texsize;\\n    v_fade_tex = vec2(a_labelminzoom / 255.0, 0.0);\\n}\\n\"},collisionbox:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform float u_zoom;\\nuniform float u_maxzoom;\\n\\nvarying float v_max_zoom;\\nvarying float v_placement_zoom;\\n\\nvoid main() {\\n\\n    float alpha = 0.5;\\n\\n    gl_FragColor = vec4(0.0, 1.0, 0.0, 1.0) * alpha;\\n\\n    if (v_placement_zoom > u_zoom) {\\n        gl_FragColor = vec4(1.0, 0.0, 0.0, 1.0) * alpha;\\n    }\\n\\n    if (u_zoom >= v_max_zoom) {\\n        gl_FragColor = vec4(0.0, 0.0, 0.0, 1.0) * alpha * 0.25;\\n    }\\n\\n    if (v_placement_zoom >= u_maxzoom) {\\n        gl_FragColor = vec4(0.0, 0.0, 1.0, 1.0) * alpha * 0.2;\\n    }\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nattribute vec2 a_pos;\\nattribute vec2 a_extrude;\\nattribute vec2 a_data;\\n\\nuniform mat4 u_matrix;\\nuniform float u_scale;\\n\\nvarying float v_max_zoom;\\nvarying float v_placement_zoom;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos + a_extrude / u_scale, 0.0, 1.0);\\n\\n    v_max_zoom = a_data.x;\\n    v_placement_zoom = a_data.y;\\n}\\n\"}},e.exports.util=\"float evaluate_zoom_function_1(const vec4 values, const float t) {\\n    if (t < 1.0) {\\n        return mix(values[0], values[1], t);\\n    } else if (t < 2.0) {\\n        return mix(values[1], values[2], t - 1.0);\\n    } else {\\n        return mix(values[2], values[3], t - 2.0);\\n    }\\n}\\nvec4 evaluate_zoom_function_4(const vec4 value0, const vec4 value1, const vec4 value2, const vec4 value3, const float t) {\\n    if (t < 1.0) {\\n        return mix(value0, value1, t);\\n    } else if (t < 2.0) {\\n        return mix(value1, value2, t - 1.0);\\n    } else {\\n        return 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o({key:r+\".type\",value:e.type,valueSpec:{values:[\"vector\",\"raster\",\"geojson\",\"video\",\"image\"]},style:l,styleSpec:s})}}},{\"../error/validation_error\":286,\"../util/unbundle_jsonlint\":289,\"./validate_enum\":295,\"./validate_object\":302}],305:[function(t,e,r){\"use strict\";var n=t(\"../util/get_type\"),i=t(\"../error/validation_error\");e.exports=function(t){var e=t.value,r=t.key,a=n(e);return\"string\"!==a?[new i(r,e,\"string expected, %s found\",a)]:[]}},{\"../error/validation_error\":286,\"../util/get_type\":288}],306:[function(t,e,r){\"use strict\";function n(t,e){e=e||l;var r=[];return r=r.concat(s({key:\"\",value:t,valueSpec:e.$root,styleSpec:e,style:t,objectElementValidators:{glyphs:u}})),e.$version>7&&t.constants&&(r=r.concat(o({key:\"constants\",value:t.constants,style:t,styleSpec:e}))),i(r)}function i(t){return[].concat(t).sort(function(t,e){return t.line-e.line})}function a(t){return function(){return i(t.apply(this,arguments))}}var 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new({fill:t(\"./bucket/fill_bucket\"),line:t(\"./bucket/line_bucket\"),circle:t(\"./bucket/circle_bucket\"),symbol:t(\"./bucket/symbol_bucket\")}[e.layer.type])(e)},n.EXTENT=8192,n.prototype.populateArrays=function(){this.createArrays(),this.recalculateStyleLayers();for(var t=0;t<this.features.length;t++)this.addFeature(this.features[t]);this.trimArrays()},n.prototype.prepareArrayGroup=function(t,e){var r=this.arrayGroups[t],n=r.length&&r[r.length-1];return n&&n.hasCapacityFor(e)||(n=new l({layoutVertexArrayType:this.programInterfaces[t].layoutVertexArrayType,elementArrayType:this.programInterfaces[t].elementArrayType,elementArrayType2:this.programInterfaces[t].elementArrayType2,paintVertexArrayTypes:this.paintVertexArrayTypes[t]}),n.index=r.length,r.push(n)),n},n.prototype.createArrays=function(){this.arrayGroups={},this.paintVertexArrayTypes={};for(var t in this.programInterfaces){this.arrayGroups[t]=[];var e=this.paintVertexArrayTypes[t]={},r=this.paintAttributes[t];for(var i in 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t.serialize()})}),paintVertexArrayTypes:c.mapObject(this.paintVertexArrayTypes,function(t){return c.mapObject(t,function(t){return t.serialize()})}),childLayerIds:this.childLayers.map(function(t){return t.id})}},n.prototype.createFilter=function(){this.filter||(this.filter=s(this.layer.filter))};var d={lastIntegerZoom:1/0,lastIntegerZoomTime:0,lastZoom:0};n.prototype.recalculateStyleLayers=function(){for(var t=0;t<this.childLayers.length;t++)this.childLayers[t].recalculate(this.zoom,d)},n.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a=0;a<this.childLayers.length;a++)for(var o=this.childLayers[a],s=this.arrayGroups[t],l=n.index;l<s.length;l++){var u=s[l],c=u.layoutVertexArray.length,h=u.paintVertexArrays[o.id];h.resize(c);for(var f=this.paintAttributes[t][o.id].attributes,d=0;d<f.length;d++)for(var p=f[d],m=p.getValue(o,e,r),g=p.multiplier||1,v=p.components||1,y=l===n.index?i:0,b=y;b<c;b++)for(var x=h.get(b),_=0;_<v;_++){var w=v>1?p.name+_:p.name;x[w]=m[_]*g}}},n.VertexArrayType=function(t){return new h({members:t,alignment:4})},n.ElementArrayType=function(t){return new h({members:[{type:\"Uint16\",name:\"vertices\",components:t||3}]})}},{\"../util/struct_array\":422,\"../util/util\":424,\"./array_group\":310,\"./bucket/circle_bucket\":312,\"./bucket/fill_bucket\":313,\"./bucket/line_bucket\":314,\"./bucket/symbol_bucket\":315,\"./buffer_group\":317,assert:40,\"feature-filter\":117}],312:[function(t,e,r){\"use strict\";function n(){i.apply(this,arguments)}var i=t(\"../bucket\"),a=t(\"../../util/util\"),o=t(\"../load_geometry\"),s=i.EXTENT;e.exports=n,n.prototype=a.inherit(i,{}),n.prototype.addCircleVertex=function(t,e,r,n,i){return t.emplaceBack(2*e+(n+1)/2,2*r+(i+1)/2)},n.prototype.programInterfaces={circle:{layoutVertexArrayType:new i.VertexArrayType([{name:\"a_pos\",components:2,type:\"Int16\"}]),elementArrayType:new i.ElementArrayType,paintAttributes:[{name:\"a_color\",components:4,type:\"Uint8\",getValue:function(t,e,r){return t.getPaintValue(\"circle-color\",e,r)},multiplier:255,paintProperty:\"circle-color\"},{name:\"a_radius\",components:1,type:\"Uint16\",isLayerConstant:!1,getValue:function(t,e,r){return[t.getPaintValue(\"circle-radius\",e,r)]},multiplier:10,paintProperty:\"circle-radius\"},{name:\"a_blur\",components:1,type:\"Uint16\",isLayerConstant:!1,getValue:function(t,e,r){return[t.getPaintValue(\"circle-blur\",e,r)]},multiplier:10,paintProperty:\"circle-blur\"},{name:\"a_opacity\",components:1,type:\"Uint16\",isLayerConstant:!1,getValue:function(t,e,r){return[t.getPaintValue(\"circle-opacity\",e,r)]},multiplier:255,paintProperty:\"circle-opacity\"}]}},n.prototype.addFeature=function(t){for(var e={zoom:this.zoom},r=o(t),n=this.prepareArrayGroup(\"circle\",0),i=n.layoutVertexArray.length,a=0;a<r.length;a++)for(var l=0;l<r[a].length;l++){var u=r[a][l].x,c=r[a][l].y;if(!(u<0||u>=s||c<0||c>=s)){var h=this.prepareArrayGroup(\"circle\",4),f=h.layoutVertexArray,d=this.addCircleVertex(f,u,c,-1,-1);this.addCircleVertex(f,u,c,1,-1),this.addCircleVertex(f,u,c,1,1),this.addCircleVertex(f,u,c,-1,1),h.elementArray.emplaceBack(d,d+1,d+2),h.elementArray.emplaceBack(d,d+3,d+2)}}this.populatePaintArrays(\"circle\",e,t.properties,n,i)}},{\"../../util/util\":424,\"../bucket\":311,\"../load_geometry\":319}],313:[function(t,e,r){\"use strict\";function n(){i.apply(this,arguments)}var i=t(\"../bucket\"),a=t(\"../../util/util\"),o=t(\"../load_geometry\"),s=t(\"earcut\"),l=t(\"../../util/classify_rings\");e.exports=n,n.prototype=a.inherit(i,{}),n.prototype.programInterfaces={fill:{layoutVertexArrayType:new i.VertexArrayType([{name:\"a_pos\",components:2,type:\"Int16\"}]),elementArrayType:new i.ElementArrayType(1),elementArrayType2:new i.ElementArrayType(2),paintAttributes:[{name:\"a_color\",components:4,type:\"Uint8\",getValue:function(t,e,r){return t.getPaintValue(\"fill-color\",e,r)},multiplier:255,paintProperty:\"fill-color\"},{name:\"a_outline_color\",components:4,type:\"Uint8\",getValue:function(t,e,r){return t.getPaintValue(\"fill-outline-color\",e,r)},multiplier:255,paintProperty:\"fill-outline-color\"},{name:\"a_opacity\",components:1,type:\"Uint8\",getValue:function(t,e,r){return[t.getPaintValue(\"fill-opacity\",e,r)]},multiplier:255,paintProperty:\"fill-opacity\"}]}},n.prototype.addFeature=function(t){for(var e=o(t),r=l(e,500),n=this.prepareArrayGroup(\"fill\",0),i=n.layoutVertexArray.length,a=0;a<r.length;a++)this.addPolygon(r[a]);this.populatePaintArrays(\"fill\",{zoom:this.zoom},t.properties,n,i)},n.prototype.addPolygon=function(t){for(var e=0,r=0;r<t.length;r++)e+=t[r].length;for(var n=this.prepareArrayGroup(\"fill\",e),i=[],a=[],o=n.layoutVertexArray.length,l=0;l<t.length;l++){var u=t[l];l>0&&a.push(i.length/2);for(var c=0;c<u.length;c++){var h=u[c],f=n.layoutVertexArray.emplaceBack(h.x,h.y);c>=1&&n.elementArray2.emplaceBack(f-1,f),i.push(h.x),i.push(h.y)}}for(var d=s(i,a),p=0;p<d.length;p++)n.elementArray.emplaceBack(d[p]+o)}},{\"../../util/classify_rings\":412,\"../../util/util\":424,\"../bucket\":311,\"../load_geometry\":319,earcut:111}],314:[function(t,e,r){\"use strict\";function n(){i.apply(this,arguments)}var i=t(\"../bucket\"),a=t(\"../../util/util\"),o=t(\"../load_geometry\"),s=i.EXTENT,l=Math.cos(Math.PI/180*37.5),u=Math.pow(2,14)/.5;e.exports=n,n.prototype=a.inherit(i,{}),n.prototype.addLineVertex=function(t,e,r,n,i,a,o){return t.emplaceBack(e.x<<1|n,e.y<<1|i,Math.round(63*r.x)+128,Math.round(63*r.y)+128,1+(0===a?0:a<0?-1:1)|(.5*o&63)<<2,.5*o>>6)},n.prototype.programInterfaces={line:{layoutVertexArrayType:new i.VertexArrayType([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}]),elementArrayType:new i.ElementArrayType}},n.prototype.addFeature=function(t){for(var e=o(t,15),r=0;r<e.length;r++)this.addLine(e[r],this.layer.layout[\"line-join\"],this.layer.layout[\"line-cap\"],this.layer.layout[\"line-miter-limit\"],this.layer.layout[\"line-round-limit\"])},n.prototype.addLine=function(t,e,r,n,i){for(var a=t.length;a>2&&t[a-1].equals(t[a-2]);)a--;if(!(t.length<2)){\"bevel\"===e&&(n=1.05);var o=s/(512*this.overscaling)*15,u=t[0],c=t[a-1],h=u.equals(c);if(this.prepareArrayGroup(\"line\",10*a),2!==a||!h){this.distance=0;var f,d,p,m,g,v,y,b=r,x=h?\"butt\":r,_=!0;this.e1=this.e2=this.e3=-1,h&&(f=t[a-2],g=u.sub(f)._unit()._perp());for(var w=0;w<a;w++)if(!(p=h&&w===a-1?t[1]:t[w+1])||!t[w].equals(p)){g&&(m=g),f&&(d=f),f=t[w],g=p?p.sub(f)._unit()._perp():m,m=m||g;var M=m.add(g)._unit(),k=M.x*g.x+M.y*g.y,A=1/k,T=k<l&&d&&p;if(T&&w>0){var S=f.dist(d);if(S>2*o){var E=f.sub(f.sub(d)._mult(o/S)._round());this.distance+=E.dist(d),this.addCurrentVertex(E,this.distance,m.mult(1),0,0,!1),d=E}}var L=d&&p,C=L?e:p?b:x;if(L&&\"round\"===C&&(A<i?C=\"miter\":A<=2&&(C=\"fakeround\")),\"miter\"===C&&A>n&&(C=\"bevel\"),\"bevel\"===C&&(A>2&&(C=\"flipbevel\"),A<n&&(C=\"miter\")),d&&(this.distance+=f.dist(d)),\"miter\"===C)M._mult(A),this.addCurrentVertex(f,this.distance,M,0,0,!1);else if(\"flipbevel\"===C){if(A>100)M=g.clone();else{var z=m.x*g.y-m.y*g.x>0?-1:1,D=A*m.add(g).mag()/m.sub(g).mag();M._perp()._mult(D*z)}this.addCurrentVertex(f,this.distance,M,0,0,!1),this.addCurrentVertex(f,this.distance,M.mult(-1),0,0,!1)}else if(\"bevel\"===C||\"fakeround\"===C){var I=m.x*g.y-m.y*g.x>0,P=-Math.sqrt(A*A-1);if(I?(y=0,v=P):(v=0,y=P),_||this.addCurrentVertex(f,this.distance,m,v,y,!1),\"fakeround\"===C){for(var O,j=Math.floor(8*(.5-(k-.5))),R=0;R<j;R++)O=g.mult((R+1)/(j+1))._add(m)._unit(),this.addPieSliceVertex(f,this.distance,O,I);this.addPieSliceVertex(f,this.distance,M,I);for(var F=j-1;F>=0;F--)O=m.mult((F+1)/(j+1))._add(g)._unit(),this.addPieSliceVertex(f,this.distance,O,I)}p&&this.addCurrentVertex(f,this.distance,g,-v,-y,!1)}else\"butt\"===C?(_||this.addCurrentVertex(f,this.distance,m,0,0,!1),p&&this.addCurrentVertex(f,this.distance,g,0,0,!1)):\"square\"===C?(_||(this.addCurrentVertex(f,this.distance,m,1,1,!1),this.e1=this.e2=-1),p&&this.addCurrentVertex(f,this.distance,g,-1,-1,!1)):\"round\"===C&&(_||(this.addCurrentVertex(f,this.distance,m,0,0,!1),this.addCurrentVertex(f,this.distance,m,1,1,!0),this.e1=this.e2=-1),p&&(this.addCurrentVertex(f,this.distance,g,-1,-1,!0),this.addCurrentVertex(f,this.distance,g,0,0,!1)));if(T&&w<a-1){var N=f.dist(p);if(N>2*o){var B=f.add(p.sub(f)._mult(o/N)._round());this.distance+=B.dist(f),this.addCurrentVertex(B,this.distance,g.mult(1),0,0,!1),f=B}}_=!1}}}},n.prototype.addCurrentVertex=function(t,e,r,n,i,a){var o,s=a?1:0,l=this.arrayGroups.line[this.arrayGroups.line.length-1],c=l.layoutVertexArray,h=l.elementArray;o=r.clone(),n&&o._sub(r.perp()._mult(n)),this.e3=this.addLineVertex(c,t,o,s,0,n,e),this.e1>=0&&this.e2>=0&&h.emplaceBack(this.e1,this.e2,this.e3),this.e1=this.e2,this.e2=this.e3,o=r.mult(-1),i&&o._sub(r.perp()._mult(i)),this.e3=this.addLineVertex(c,t,o,s,1,-i,e),this.e1>=0&&this.e2>=0&&h.emplaceBack(this.e1,this.e2,this.e3),this.e1=this.e2,this.e2=this.e3,e>u/2&&(this.distance=0,this.addCurrentVertex(t,this.distance,r,n,i,a))},n.prototype.addPieSliceVertex=function(t,e,r,n){var i=n?1:0;r=r.mult(n?-1:1);var a=this.arrayGroups.line[this.arrayGroups.line.length-1],o=a.layoutVertexArray,s=a.elementArray;this.e3=this.addLineVertex(o,t,r,0,i,0,e),this.e1>=0&&this.e2>=0&&s.emplaceBack(this.e1,this.e2,this.e3),n?this.e2=this.e3:this.e1=this.e3}},{\"../../util/util\":424,\"../bucket\":311,\"../load_geometry\":319}],315:[function(t,e,r){\"use strict\";function n(t){o.apply(this,arguments),this.showCollisionBoxes=t.showCollisionBoxes,this.overscaling=t.overscaling,this.collisionBoxArray=t.collisionBoxArray,this.symbolQuadsArray=t.symbolQuadsArray,this.symbolInstancesArray=t.symbolInstancesArray,this.sdfIcons=t.sdfIcons,this.iconsNeedLinear=t.iconsNeedLinear,this.adjustedTextSize=t.adjustedTextSize,this.adjustedIconSize=t.adjustedIconSize,this.fontstack=t.fontstack}function i(t,e,r,n,i,a,o,s,l,u,c){return t.emplaceBack(e,r,Math.round(64*n),Math.round(64*i),a/4,o/4,10*(u||0),c,10*(s||0),10*Math.min(l||25,25))}var a=t(\"point-geometry\"),o=t(\"../bucket\"),s=t(\"../../symbol/anchor\"),l=t(\"../../symbol/get_anchors\"),u=t(\"../../util/token\"),c=t(\"../../symbol/quads\"),h=t(\"../../symbol/shaping\"),f=t(\"../../symbol/resolve_text\"),d=t(\"../../symbol/mergelines\"),p=t(\"../../symbol/clip_line\"),m=t(\"../../util/util\"),g=t(\"../load_geometry\"),v=t(\"../../symbol/collision_feature\"),y=h.shapeText,b=h.shapeIcon,x=c.getGlyphQuads,_=c.getIconQuads,w=o.EXTENT;e.exports=n,n.MAX_QUADS=65535,n.prototype=m.inherit(o,{}),n.prototype.serialize=function(){var t=o.prototype.serialize.apply(this);return t.sdfIcons=this.sdfIcons,t.iconsNeedLinear=this.iconsNeedLinear,t.adjustedTextSize=this.adjustedTextSize,t.adjustedIconSize=this.adjustedIconSize,t.fontstack=this.fontstack,t};var M=new o.VertexArrayType([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_offset\",components:2,type:\"Int16\"},{name:\"a_texture_pos\",components:2,type:\"Uint16\"},{name:\"a_data\",components:4,type:\"Uint8\"}]),k=new o.ElementArrayType;n.prototype.addCollisionBoxVertex=function(t,e,r,n,i){return t.emplaceBack(e.x,e.y,Math.round(r.x),Math.round(r.y),10*n,10*i)},n.prototype.programInterfaces={glyph:{layoutVertexArrayType:M,elementArrayType:k},icon:{layoutVertexArrayType:M,elementArrayType:k},collisionBox:{layoutVertexArrayType:new o.VertexArrayType([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_extrude\",components:2,type:\"Int16\"},{name:\"a_data\",components:2,type:\"Uint8\"}])}},n.prototype.populateArrays=function(t,e,r){var n={lastIntegerZoom:1/0,lastIntegerZoomTime:0,lastZoom:0};this.adjustedTextMaxSize=this.layer.getLayoutValue(\"text-size\",{zoom:18,zoomHistory:n}),this.adjustedTextSize=this.layer.getLayoutValue(\"text-size\",{zoom:this.zoom+1,zoomHistory:n}),this.adjustedIconMaxSize=this.layer.getLayoutValue(\"icon-size\",{zoom:18,zoomHistory:n}),this.adjustedIconSize=this.layer.getLayoutValue(\"icon-size\",{zoom:this.zoom+1,zoomHistory:n});var i=512*this.overscaling;this.tilePixelRatio=w/i,this.compareText={},this.iconsNeedLinear=!1,this.symbolInstancesStartIndex=this.symbolInstancesArray.length;var a=this.layer.layout,o=this.features,s=this.textFeatures,l=.5,c=.5;switch(a[\"text-anchor\"]){case\"right\":case\"top-right\":case\"bottom-right\":l=1;break;case\"left\":case\"top-left\":case\"bottom-left\":l=0}switch(a[\"text-anchor\"]){case\"bottom\":case\"bottom-right\":case\"bottom-left\":c=1;break;case\"top\":case\"top-right\":case\"top-left\":c=0}for(var h=\"right\"===a[\"text-justify\"]?1:\"left\"===a[\"text-justify\"]?0:.5,f=24*a[\"text-line-height\"],p=\"line\"!==a[\"symbol-placement\"]?24*a[\"text-max-width\"]:0,v=24*a[\"text-letter-spacing\"],x=[24*a[\"text-offset\"][0],24*a[\"text-offset\"][1]],_=this.fontstack=a[\"text-font\"].join(\",\"),M=[],k=0;k<o.length;k++)M.push(g(o[k]));if(\"line\"===a[\"symbol-placement\"]){var A=d(o,s,M);M=A.geometries,o=A.features,s=A.textFeatures}for(var T,S,E=0;E<o.length;E++)if(M[E]){if(T=s[E]?y(s[E],e[_],p,f,l,c,h,v,x):null,a[\"icon-image\"]){var L=u(o[E].properties,a[\"icon-image\"]),C=r[L];S=b(C,a),C&&(void 0===this.sdfIcons?this.sdfIcons=C.sdf:this.sdfIcons!==C.sdf&&m.warnOnce(\"Style sheet warning: Cannot mix SDF and non-SDF icons in one buffer\"),1!==C.pixelRatio?this.iconsNeedLinear=!0:0===a[\"icon-rotate\"]&&this.layer.isLayoutValueFeatureConstant(\"icon-rotate\")||(this.iconsNeedLinear=!0))}else S=null;(T||S)&&this.addFeature(M[E],T,S,o[E])}this.symbolInstancesEndIndex=this.symbolInstancesArray.length,this.placeFeatures(t,this.showCollisionBoxes),this.trimArrays()},n.prototype.addFeature=function(t,e,r,n){\n",
       "var i=this.layer.layout,a=this.adjustedTextSize/24,o=void 0!==this.adjustedTextMaxSize?this.adjustedTextMaxSize:this.adjustedTextSize,u=this.tilePixelRatio*a,c=this.tilePixelRatio*o/24,h=this.tilePixelRatio*this.adjustedIconSize,f=this.tilePixelRatio*i[\"symbol-spacing\"],d=i[\"symbol-avoid-edges\"],m=i[\"text-padding\"]*this.tilePixelRatio,g=i[\"icon-padding\"]*this.tilePixelRatio,v=i[\"text-max-angle\"]/180*Math.PI,y=\"map\"===i[\"text-rotation-alignment\"]&&\"line\"===i[\"symbol-placement\"],b=\"map\"===i[\"icon-rotation-alignment\"]&&\"line\"===i[\"symbol-placement\"],x=i[\"text-allow-overlap\"]||i[\"icon-allow-overlap\"]||i[\"text-ignore-placement\"]||i[\"icon-ignore-placement\"],_=\"line\"===i[\"symbol-placement\"],M=f/2;_&&(t=p(t,0,0,w,w));for(var k=0;k<t.length;k++){var A,T=t[k];A=_?l(T,f,v,e,r,24,c,this.overscaling,w):[new s(T[0].x,T[0].y,0)];for(var S=0,E=A.length;S<E;S++){var L=A[S];if(!(e&&_&&this.anchorIsTooClose(e.text,M,L))){var C=!(L.x<0||L.x>w||L.y<0||L.y>w);if(!d||C){var z=C||x;this.addSymbolInstance(L,T,e,r,this.layer,z,this.symbolInstancesArray.length,this.collisionBoxArray,n.index,this.sourceLayerIndex,this.index,u,m,y,h,g,b,{zoom:this.zoom},n.properties)}}}}},n.prototype.anchorIsTooClose=function(t,e,r){var n=this.compareText;if(t in n){for(var i=n[t],a=i.length-1;a>=0;a--)if(r.dist(i[a])<e)return!0}else n[t]=[];return n[t].push(r),!1},n.prototype.placeFeatures=function(t,e){this.recalculateStyleLayers(),this.createArrays();var r=this.layer.layout,n=t.maxScale,i=\"map\"===r[\"text-rotation-alignment\"]&&\"line\"===r[\"symbol-placement\"],a=\"map\"===r[\"icon-rotation-alignment\"]&&\"line\"===r[\"symbol-placement\"];if(r[\"text-allow-overlap\"]||r[\"icon-allow-overlap\"]||r[\"text-ignore-placement\"]||r[\"icon-ignore-placement\"]){var o=this.symbolInstancesArray.toArray(this.symbolInstancesStartIndex,this.symbolInstancesEndIndex),s=t.angle,l=Math.sin(s),u=Math.cos(s);this.sortedSymbolInstances=o.sort(function(t,e){return(l*t.anchorPointX+u*t.anchorPointY|0)-(l*e.anchorPointX+u*e.anchorPointY|0)||e.index-t.index})}for(var c=this.symbolInstancesStartIndex;c<this.symbolInstancesEndIndex;c++){var h=this.sortedSymbolInstances?this.sortedSymbolInstances[c-this.symbolInstancesStartIndex]:this.symbolInstancesArray.get(c),f={boxStartIndex:h.textBoxStartIndex,boxEndIndex:h.textBoxEndIndex},d={boxStartIndex:h.iconBoxStartIndex,boxEndIndex:h.iconBoxEndIndex},p=!(h.textBoxStartIndex===h.textBoxEndIndex),m=!(h.iconBoxStartIndex===h.iconBoxEndIndex),g=r[\"text-optional\"]||!p,v=r[\"icon-optional\"]||!m,y=p?t.placeCollisionFeature(f,r[\"text-allow-overlap\"],r[\"symbol-avoid-edges\"]):t.minScale,b=m?t.placeCollisionFeature(d,r[\"icon-allow-overlap\"],r[\"symbol-avoid-edges\"]):t.minScale;g||v?!v&&y?y=Math.max(b,y):!g&&b&&(b=Math.max(b,y)):b=y=Math.max(b,y),p&&(t.insertCollisionFeature(f,y,r[\"text-ignore-placement\"]),y<=n&&this.addSymbols(\"glyph\",h.glyphQuadStartIndex,h.glyphQuadEndIndex,y,r[\"text-keep-upright\"],i,t.angle)),m&&(t.insertCollisionFeature(d,b,r[\"icon-ignore-placement\"]),b<=n&&this.addSymbols(\"icon\",h.iconQuadStartIndex,h.iconQuadEndIndex,b,r[\"icon-keep-upright\"],a,t.angle))}e&&this.addToDebugBuffers(t)},n.prototype.addSymbols=function(t,e,r,n,a,o,s){for(var l=this.prepareArrayGroup(t,4*(r-e)),u=l.elementArray,c=l.layoutVertexArray,h=this.zoom,f=Math.max(Math.log(n)/Math.LN2+h,0),d=e;d<r;d++){var p=this.symbolQuadsArray.get(d).SymbolQuad,m=(p.anchorAngle+s+Math.PI)%(2*Math.PI);if(!(a&&o&&(m<=Math.PI/2||m>3*Math.PI/2))){var g=p.tl,v=p.tr,y=p.bl,b=p.br,x=p.tex,_=p.anchorPoint,w=Math.max(h+Math.log(p.minScale)/Math.LN2,f),M=Math.min(h+Math.log(p.maxScale)/Math.LN2,25);if(!(M<=w)){w===f&&(w=0);var k=Math.round(p.glyphAngle/(2*Math.PI)*256),A=i(c,_.x,_.y,g.x,g.y,x.x,x.y,w,M,f,k);i(c,_.x,_.y,v.x,v.y,x.x+x.w,x.y,w,M,f,k),i(c,_.x,_.y,y.x,y.y,x.x,x.y+x.h,w,M,f,k),i(c,_.x,_.y,b.x,b.y,x.x+x.w,x.y+x.h,w,M,f,k),u.emplaceBack(A,A+1,A+2),u.emplaceBack(A+1,A+2,A+3)}}}},n.prototype.updateIcons=function(t){this.recalculateStyleLayers();var e=this.layer.layout[\"icon-image\"];if(e)for(var r=0;r<this.features.length;r++){var n=u(this.features[r].properties,e);n&&(t[n]=!0)}},n.prototype.updateFont=function(t){this.recalculateStyleLayers();var e=this.layer.layout[\"text-font\"],r=t[e]=t[e]||{};this.textFeatures=f(this.features,this.layer.layout,r)},n.prototype.addToDebugBuffers=function(t){for(var e=this.prepareArrayGroup(\"collisionBox\",0),r=e.layoutVertexArray,n=-t.angle,i=t.yStretch,o=this.symbolInstancesStartIndex;o<this.symbolInstancesEndIndex;o++){var s=this.symbolInstancesArray.get(o);s.textCollisionFeature={boxStartIndex:s.textBoxStartIndex,boxEndIndex:s.textBoxEndIndex},s.iconCollisionFeature={boxStartIndex:s.iconBoxStartIndex,boxEndIndex:s.iconBoxEndIndex};for(var l=0;l<2;l++){var u=s[0===l?\"textCollisionFeature\":\"iconCollisionFeature\"];if(u)for(var c=u.boxStartIndex;c<u.boxEndIndex;c++){var h=this.collisionBoxArray.get(c),f=h.anchorPoint,d=new a(h.x1,h.y1*i)._rotate(n),p=new a(h.x2,h.y1*i)._rotate(n),m=new a(h.x1,h.y2*i)._rotate(n),g=new a(h.x2,h.y2*i)._rotate(n),v=Math.max(0,Math.min(25,this.zoom+Math.log(h.maxScale)/Math.LN2)),y=Math.max(0,Math.min(25,this.zoom+Math.log(h.placementScale)/Math.LN2));this.addCollisionBoxVertex(r,f,d,v,y),this.addCollisionBoxVertex(r,f,p,v,y),this.addCollisionBoxVertex(r,f,p,v,y),this.addCollisionBoxVertex(r,f,g,v,y),this.addCollisionBoxVertex(r,f,g,v,y),this.addCollisionBoxVertex(r,f,m,v,y),this.addCollisionBoxVertex(r,f,m,v,y),this.addCollisionBoxVertex(r,f,d,v,y)}}}},n.prototype.addSymbolInstance=function(t,e,r,i,a,o,s,l,u,c,h,f,d,p,g,y,b,w,M){var k,A,T,S,E,L,C,z;if(r&&(C=o?x(t,r,f,e,a,p):[],E=new v(l,e,t,u,c,h,r,f,d,p,!1)),k=this.symbolQuadsArray.length,C&&C.length)for(var D=0;D<C.length;D++)this.addSymbolQuad(C[D]);A=this.symbolQuadsArray.length;var I=E?E.boxStartIndex:this.collisionBoxArray.length,P=E?E.boxEndIndex:this.collisionBoxArray.length;i&&(z=o?_(t,i,g,e,a,b,r,w,M):[],L=new v(l,e,t,u,c,h,i,g,y,b,!0)),T=this.symbolQuadsArray.length,z&&1===z.length&&this.addSymbolQuad(z[0]),S=this.symbolQuadsArray.length;var O=L?L.boxStartIndex:this.collisionBoxArray.length,j=L?L.boxEndIndex:this.collisionBoxArray.length;return S>n.MAX_QUADS&&m.warnOnce(\"Too many symbols being rendered in a tile. See https://github.com/mapbox/mapbox-gl-js/issues/2907\"),A>n.MAX_QUADS&&m.warnOnce(\"Too many glyphs being rendered in a tile. See https://github.com/mapbox/mapbox-gl-js/issues/2907\"),this.symbolInstancesArray.emplaceBack(I,P,O,j,k,A,T,S,t.x,t.y,s)},n.prototype.addSymbolQuad=function(t){return this.symbolQuadsArray.emplaceBack(t.anchorPoint.x,t.anchorPoint.y,t.tl.x,t.tl.y,t.tr.x,t.tr.y,t.bl.x,t.bl.y,t.br.x,t.br.y,t.tex.h,t.tex.w,t.tex.x,t.tex.y,t.anchorAngle,t.glyphAngle,t.maxScale,t.minScale)}},{\"../../symbol/anchor\":373,\"../../symbol/clip_line\":375,\"../../symbol/collision_feature\":377,\"../../symbol/get_anchors\":379,\"../../symbol/mergelines\":382,\"../../symbol/quads\":383,\"../../symbol/resolve_text\":384,\"../../symbol/shaping\":385,\"../../util/token\":423,\"../../util/util\":424,\"../bucket\":311,\"../load_geometry\":319,\"point-geometry\":465}],316:[function(t,e,r){\"use strict\";function n(t,e,r){this.arrayBuffer=t.arrayBuffer,this.length=t.length,this.attributes=e.members,this.itemSize=e.bytesPerElement,this.type=r,this.arrayType=e}e.exports=n,n.prototype.bind=function(t){var e=t[this.type];this.buffer?t.bindBuffer(e,this.buffer):(this.buffer=t.createBuffer(),t.bindBuffer(e,this.buffer),t.bufferData(e,this.arrayBuffer,t.STATIC_DRAW),this.arrayBuffer=null)};var i={Int8:\"BYTE\",Uint8:\"UNSIGNED_BYTE\",Int16:\"SHORT\",Uint16:\"UNSIGNED_SHORT\"};n.prototype.setVertexAttribPointers=function(t,e){for(var r=0;r<this.attributes.length;r++){var n=this.attributes[r],a=e[n.name];void 0!==a&&t.vertexAttribPointer(a,n.components,t[i[n.type]],!1,this.arrayType.bytesPerElement,n.offset)}},n.prototype.destroy=function(t){this.buffer&&t.deleteBuffer(this.buffer)},n.BufferType={VERTEX:\"ARRAY_BUFFER\",ELEMENT:\"ELEMENT_ARRAY_BUFFER\"}},{}],317:[function(t,e,r){\"use strict\";function n(t,e){this.layoutVertexBuffer=new a(t.layoutVertexArray,e.layoutVertexArrayType,a.BufferType.VERTEX),t.elementArray&&(this.elementBuffer=new a(t.elementArray,e.elementArrayType,a.BufferType.ELEMENT));var r,n=this.vaos={};t.elementArray2&&(this.elementBuffer2=new a(t.elementArray2,e.elementArrayType2,a.BufferType.ELEMENT),r=this.secondVaos={}),this.paintVertexBuffers=i.mapObject(t.paintVertexArrays,function(i,s){return n[s]=new o,t.elementArray2&&(r[s]=new o),new a(i,e.paintVertexArrayTypes[s],a.BufferType.VERTEX)})}var i=t(\"../util/util\"),a=t(\"./buffer\"),o=t(\"../render/vertex_array_object\");e.exports=n,n.prototype.destroy=function(t){this.layoutVertexBuffer.destroy(t),this.elementBuffer&&this.elementBuffer.destroy(t),this.elementBuffer2&&this.elementBuffer2.destroy(t);for(var e in this.paintVertexBuffers)this.paintVertexBuffers[e].destroy(t);for(var r in this.vaos)this.vaos[r].destroy(t);for(var n in this.secondVaos)this.secondVaos[n].destroy(t)}},{\"../render/vertex_array_object\":339,\"../util/util\":424,\"./buffer\":316}],318:[function(t,e,r){\"use strict\";function n(t,e,r){if(t.grid){var n=t,i=e;t=n.coord,e=n.overscaling,this.grid=new p(n.grid),this.featureIndexArray=new k(n.featureIndexArray),this.rawTileData=i,this.bucketLayerIDs=n.bucketLayerIDs}else this.grid=new p(h,16,0),this.featureIndexArray=new k;this.coord=t,this.overscaling=e,this.x=t.x,this.y=t.y,this.z=t.z-Math.log(e)/Math.LN2,this.setCollisionTile(r)}function i(t){return Math.sqrt(t[0]*t[0]+t[1]*t[1])}function a(t,e){return e-t}function o(t){return t[\"line-gap-width\"]>0?t[\"line-gap-width\"]+2*t[\"line-width\"]:t[\"line-width\"]}function s(t,e,r,n,i){if(!e[0]&&!e[1])return t;e=u.convert(e),\"viewport\"===r&&e._rotate(-n);for(var a=[],o=0;o<t.length;o++){for(var s=t[o],l=[],c=0;c<s.length;c++)l.push(s[c].sub(e._mult(i)));a.push(l)}return a}function l(t,e){for(var r=[],n=new u(0,0),i=0;i<t.length;i++){for(var a=t[i],o=[],s=0;s<a.length;s++){var l=a[s-1],c=a[s],h=a[s+1],f=0===s?n:c.sub(l)._unit()._perp(),d=s===a.length-1?n:h.sub(c)._unit()._perp(),p=f._add(d)._unit(),m=p.x*d.x+p.y*d.y;p._mult(1/m),o.push(p._mult(e)._add(c))}r.push(o)}return r}var u=t(\"point-geometry\"),c=t(\"./load_geometry\"),h=t(\"./bucket\").EXTENT,f=t(\"feature-filter\"),d=t(\"../util/struct_array\"),p=t(\"grid-index\"),m=t(\"../util/dictionary_coder\"),g=t(\"vector-tile\"),v=t(\"pbf\"),y=t(\"../util/vectortile_to_geojson\"),b=t(\"../util/util\").arraysIntersect,x=t(\"../util/intersection_tests\"),_=x.multiPolygonIntersectsBufferedMultiPoint,w=x.multiPolygonIntersectsMultiPolygon,M=x.multiPolygonIntersectsBufferedMultiLine,k=new d({members:[{type:\"Uint32\",name:\"featureIndex\"},{type:\"Uint16\",name:\"sourceLayerIndex\"},{type:\"Uint16\",name:\"bucketIndex\"}]});e.exports=n,n.prototype.insert=function(t,e,r,n){var i=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(e,r,n);for(var a=c(t),o=0;o<a.length;o++){for(var s=a[o],l=[1/0,1/0,-1/0,-1/0],u=0;u<s.length;u++){var h=s[u];l[0]=Math.min(l[0],h.x),l[1]=Math.min(l[1],h.y),l[2]=Math.max(l[2],h.x),l[3]=Math.max(l[3],h.y)}this.grid.insert(i,l[0],l[1],l[2],l[3])}},n.prototype.setCollisionTile=function(t){this.collisionTile=t},n.prototype.serialize=function(){var t={coord:this.coord,overscaling:this.overscaling,grid:this.grid.toArrayBuffer(),featureIndexArray:this.featureIndexArray.serialize(),bucketLayerIDs:this.bucketLayerIDs};return{data:t,transferables:[t.grid,t.featureIndexArray.arrayBuffer]}},n.prototype.query=function(t,e){this.vtLayers||(this.vtLayers=new g.VectorTile(new v(new Uint8Array(this.rawTileData))).layers,this.sourceLayerCoder=new m(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"]));var r={},n=t.params||{},s=h/t.tileSize/t.scale,l=f(n.filter),c=0;for(var d in e){var p=e[d],y=p.paint,b=0;\"line\"===p.type?b=o(y)/2+Math.abs(y[\"line-offset\"])+i(y[\"line-translate\"]):\"fill\"===p.type?b=i(y[\"fill-translate\"]):\"circle\"===p.type&&(b=y[\"circle-radius\"]+i(y[\"circle-translate\"])),c=Math.max(c,b*s)}for(var x=t.queryGeometry.map(function(t){return t.map(function(t){return new u(t.x,t.y)})}),_=1/0,w=1/0,M=-1/0,k=-1/0,A=0;A<x.length;A++)for(var T=x[A],S=0;S<T.length;S++){var E=T[S];_=Math.min(_,E.x),w=Math.min(w,E.y),M=Math.max(M,E.x),k=Math.max(k,E.y)}var L=this.grid.query(_-c,w-c,M+c,k+c);L.sort(a),this.filterMatching(r,L,this.featureIndexArray,x,l,n.layers,e,t.bearing,s);var C=this.collisionTile.queryRenderedSymbols(_,w,M,k,t.scale);return C.sort(),this.filterMatching(r,C,this.collisionTile.collisionBoxArray,x,l,n.layers,e,t.bearing,s),r},n.prototype.filterMatching=function(t,e,r,n,i,a,u,h,f){for(var d,p=0;p<e.length;p++){var m=e[p];if(m!==d){d=m;var g=r.get(m),v=this.bucketLayerIDs[g.bucketIndex];if(!a||b(a,v)){var x=this.sourceLayerCoder.decode(g.sourceLayerIndex),k=this.vtLayers[x],A=k.feature(g.featureIndex);if(i(A))for(var T=null,S=0;S<v.length;S++){var E=v[S];if(!(a&&a.indexOf(E)<0)){var L=u[E];if(L){var C;if(\"symbol\"!==L.type){T||(T=c(A));var z=L.paint;if(\"line\"===L.type){C=s(n,z[\"line-translate\"],z[\"line-translate-anchor\"],h,f);var D=o(z)/2*f;if(z[\"line-offset\"]&&(T=l(T,z[\"line-offset\"]*f)),!M(C,T,D))continue}else if(\"fill\"===L.type){if(C=s(n,z[\"fill-translate\"],z[\"fill-translate-anchor\"],h,f),!w(C,T))continue}else if(\"circle\"===L.type){C=s(n,z[\"circle-translate\"],z[\"circle-translate-anchor\"],h,f);var I=z[\"circle-radius\"]*f;if(!_(C,T,I))continue}}var P=new y(A,this.z,this.x,this.y);P.layer=L.serialize({includeRefProperties:!0});var O=t[E];void 0===O&&(O=t[E]=[]),O.push(P)}}}}}}}},{\"../util/dictionary_coder\":414,\"../util/intersection_tests\":419,\"../util/struct_array\":422,\"../util/util\":424,\"../util/vectortile_to_geojson\":425,\"./bucket\":311,\"./load_geometry\":319,\"feature-filter\":117,\"grid-index\":271,pbf:459,\"point-geometry\":465,\"vector-tile\":530}],319:[function(t,e,r){\"use strict\";function n(t){return{min:-1*Math.pow(2,t-1),max:Math.pow(2,t-1)-1}}var i=t(\"../util/util\"),a=t(\"./bucket\").EXTENT,o=t(\"assert\"),s={15:n(15),16:n(16)};e.exports=function(t,e){var r=s[e||16];o(r);for(var n=a/t.extent,l=t.loadGeometry(),u=0;u<l.length;u++)for(var c=l[u],h=0;h<c.length;h++){var f=c[h];f.x=Math.round(f.x*n),f.y=Math.round(f.y*n),(f.x<r.min||f.x>r.max||f.y<r.min||f.y>r.max)&&i.warnOnce(\"Geometry exceeds allowed extent, reduce your vector tile buffer size\")}return l}},{\"../util/util\":424,\"./bucket\":311,assert:40}],320:[function(t,e,r){\"use strict\";function n(t,e,r){this.column=t,this.row=e,this.zoom=r}e.exports=n,n.prototype={clone:function(){return new n(this.column,this.row,this.zoom)},zoomTo:function(t){return this.clone()._zoomTo(t)},sub:function(t){return this.clone()._sub(t)},_zoomTo:function(t){var e=Math.pow(2,t-this.zoom);return this.column*=e,this.row*=e,this.zoom=t,this},_sub:function(t){return t=t.zoomTo(this.zoom),this.column-=t.column,this.row-=t.row,this}}},{}],321:[function(t,e,r){\"use strict\";function n(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")}e.exports=n;var i=t(\"../util/util\").wrap;n.prototype.wrap=function(){return new n(i(this.lng,-180,180),this.lat)},n.prototype.toArray=function(){return[this.lng,this.lat]},n.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},n.convert=function(t){return t instanceof n?t:Array.isArray(t)?new n(t[0],t[1]):t}},{\"../util/util\":424}],322:[function(t,e,r){\"use strict\";function n(t,e){t&&(e?this.extend(t).extend(e):4===t.length?this.extend([t[0],t[1]]).extend([t[2],t[3]]):this.extend(t[0]).extend(t[1]))}e.exports=n;var i=t(\"./lng_lat\");n.prototype={extend:function(t){var e,r,a=this._sw,o=this._ne;if(t instanceof i)e=t,r=t;else{if(!(t instanceof n))return t?this.extend(i.convert(t)||n.convert(t)):this;if(e=t._sw,r=t._ne,!e||!r)return this}return a||o?(a.lng=Math.min(e.lng,a.lng),a.lat=Math.min(e.lat,a.lat),o.lng=Math.max(r.lng,o.lng),o.lat=Math.max(r.lat,o.lat)):(this._sw=new i(e.lng,e.lat),this._ne=new i(r.lng,r.lat)),this},getCenter:function(){return new i((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},getSouthWest:function(){return this._sw},getNorthEast:function(){return this._ne},getNorthWest:function(){return new i(this.getWest(),this.getNorth())},getSouthEast:function(){return new i(this.getEast(),this.getSouth())},getWest:function(){return this._sw.lng},getSouth:function(){return this._sw.lat},getEast:function(){return this._ne.lng},getNorth:function(){return this._ne.lat},toArray:function(){return[this._sw.toArray(),this._ne.toArray()]},toString:function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"}},n.convert=function(t){return!t||t instanceof n?t:new n(t)}},{\"./lng_lat\":321}],323:[function(t,e,r){\"use strict\";function n(t,e){this.tileSize=512,this._minZoom=t||0,this._maxZoom=e||22,this.latRange=[-85.05113,85.05113],this.width=0,this.height=0,this._center=new i(0,0),this.zoom=0,this.angle=0,this._altitude=1.5,this._pitch=0,this._unmodified=!0}var i=t(\"./lng_lat\"),a=t(\"point-geometry\"),o=t(\"./coordinate\"),s=t(\"../util/util\").wrap,l=t(\"../util/interpolate\"),u=t(\"../source/tile_coord\"),c=t(\"../data/bucket\").EXTENT,h=t(\"gl-matrix\"),f=h.vec4,d=h.mat4,p=h.mat2;e.exports=n,n.prototype={get minZoom(){return this._minZoom},set minZoom(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},get maxZoom(){return this._maxZoom},set maxZoom(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},get worldSize(){return this.tileSize*this.scale},get centerPoint(){return this.size._div(2)},get size(){return new a(this.width,this.height)},get bearing(){return-this.angle/Math.PI*180},set bearing(t){var e=-s(t,-180,180)*Math.PI/180;this.angle!==e&&(this._unmodified=!1,this.angle=e,this._calcMatrices(),this.rotationMatrix=p.create(),p.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},get pitch(){return this._pitch/Math.PI*180},set pitch(t){var e=Math.min(60,t)/180*Math.PI;this._pitch!==e&&(this._unmodified=!1,this._pitch=e,this._calcMatrices())},get altitude(){return this._altitude},set altitude(t){var e=Math.max(.75,t);this._altitude!==e&&(this._unmodified=!1,this._altitude=e,this._calcMatrices())},get zoom(){return this._zoom},set zoom(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._calcMatrices(),this._constrain())},get center(){return this._center},set center(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._calcMatrices(),this._constrain())},coveringZoomLevel:function(t){return(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize))},coveringTiles:function(t){var e=this.coveringZoomLevel(t),r=e;if(e<t.minzoom)return[];e>t.maxzoom&&(e=t.maxzoom);var n=this,i=n.locationCoordinate(n.center)._zoomTo(e),o=new a(i.column-.5,i.row-.5);return u.cover(e,[n.pointCoordinate(new a(0,0))._zoomTo(e),n.pointCoordinate(new a(n.width,0))._zoomTo(e),n.pointCoordinate(new a(n.width,n.height))._zoomTo(e),n.pointCoordinate(new a(0,n.height))._zoomTo(e)],t.reparseOverscaled?r:e).sort(function(t,e){return o.dist(t)-o.dist(e)})},resize:function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._calcMatrices(),this._constrain()},get unmodified(){return this._unmodified},zoomScale:function(t){return Math.pow(2,t)},scaleZoom:function(t){return Math.log(t)/Math.LN2},project:function(t,e){return new a(this.lngX(t.lng,e),this.latY(t.lat,e))},unproject:function(t,e){return new i(this.xLng(t.x,e),this.yLat(t.y,e))},get x(){return this.lngX(this.center.lng)},get y(){return this.latY(this.center.lat)},get point(){return new a(this.x,this.y)},lngX:function(t,e){return(180+t)*(e||this.worldSize)/360},latY:function(t,e){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))*(e||this.worldSize)/360},xLng:function(t,e){return 360*t/(e||this.worldSize)-180},yLat:function(t,e){var r=180-360*t/(e||this.worldSize);return 360/Math.PI*Math.atan(Math.exp(r*Math.PI/180))-90},panBy:function(t){var e=this.centerPoint._add(t);this.center=this.pointLocation(e)},setLocationAtPoint:function(t,e){var r=this.locationCoordinate(t),n=this.pointCoordinate(e),i=this.pointCoordinate(this.centerPoint),a=n._sub(r);this._unmodified=!1,this.center=this.coordinateLocation(i._sub(a))},locationPoint:function(t){return this.coordinatePoint(this.locationCoordinate(t))},pointLocation:function(t){return this.coordinateLocation(this.pointCoordinate(t))},locationCoordinate:function(t){var e=this.zoomScale(this.tileZoom)/this.worldSize,r=i.convert(t);return new o(this.lngX(r.lng)*e,this.latY(r.lat)*e,this.tileZoom)},coordinateLocation:function(t){var e=this.zoomScale(t.zoom);return new i(this.xLng(t.column,e),this.yLat(t.row,e))},pointCoordinate:function(t){var e=[t.x,t.y,0,1],r=[t.x,t.y,1,1];f.transformMat4(e,e,this.pixelMatrixInverse),f.transformMat4(r,r,this.pixelMatrixInverse);var n=e[3],i=r[3],a=e[0]/n,s=r[0]/i,u=e[1]/n,c=r[1]/i,h=e[2]/n,d=r[2]/i,p=h===d?0:(0-h)/(d-h),m=this.worldSize/this.zoomScale(this.tileZoom);return new o(l(a,s,p)/m,l(u,c,p)/m,this.tileZoom)},coordinatePoint:function(t){var e=this.worldSize/this.zoomScale(t.zoom),r=[t.column*e,t.row*e,0,1];return f.transformMat4(r,r,this.pixelMatrix),new a(r[0]/r[3],r[1]/r[3])},calculatePosMatrix:function(t,e){void 0===e&&(e=1/0),t instanceof u&&(t=t.toCoordinate(e));var r=Math.min(t.zoom,e),n=this.worldSize/Math.pow(2,r),i=new Float64Array(16);return d.identity(i),d.translate(i,i,[t.column*n,t.row*n,0]),d.scale(i,i,[n/c,n/c,1]),d.multiply(i,this.projMatrix,i),new Float32Array(i)},_constrain:function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var t,e,r,n,i,o,s,l,u=this.size,c=this._unmodified;this.latRange&&(t=this.latY(this.latRange[1]),e=this.latY(this.latRange[0]),i=e-t<u.y?u.y/(e-t):0),this.lngRange&&(r=this.lngX(this.lngRange[0]),n=this.lngX(this.lngRange[1]),o=n-r<u.x?u.x/(n-r):0);var h=Math.max(o||0,i||0);if(h)return this.center=this.unproject(new a(o?(n+r)/2:this.x,i?(e+t)/2:this.y)),this.zoom+=this.scaleZoom(h),this._unmodified=c,void(this._constraining=!1);if(this.latRange){var f=this.y,d=u.y/2;f-d<t&&(l=t+d),f+d>e&&(l=e-d)}if(this.lngRange){var p=this.x,m=u.x/2;p-m<r&&(s=r+m),p+m>n&&(s=n-m)}void 0===s&&void 0===l||(this.center=this.unproject(new a(void 0!==s?s:this.x,void 0!==l?l:this.y))),this._unmodified=c,this._constraining=!1}},_calcMatrices:function(){if(this.height){var t=Math.atan(.5/this.altitude),e=Math.sin(t)*this.altitude/Math.sin(Math.PI/2-this._pitch-t),r=Math.cos(Math.PI/2-this._pitch)*e+this.altitude,n=new Float64Array(16);if(d.perspective(n,2*Math.atan(this.height/2/this.altitude),this.width/this.height,.1,r),d.translate(n,n,[0,0,-this.altitude]),d.scale(n,n,[1,-1,1/this.height]),d.rotateX(n,n,this._pitch),d.rotateZ(n,n,this.angle),d.translate(n,n,[-this.x,-this.y,0]),this.projMatrix=n,n=d.create(),d.scale(n,n,[this.width/2,-this.height/2,1]),d.translate(n,n,[1,-1,0]),this.pixelMatrix=d.multiply(new Float64Array(16),n,this.projMatrix),!(n=d.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=n}}}},{\"../data/bucket\":311,\"../source/tile_coord\":351,\"../util/interpolate\":418,\"../util/util\":424,\"./coordinate\":320,\"./lng_lat\":321,\"gl-matrix\":177,\"point-geometry\":465}],324:[function(t,e,r){\"use strict\";var n={\" 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a,o,s,l,u,c,h,f,d=[];for(a=0,o=t.length;a<o;a++)if(u=n[t[a]]){for(f=null,s=0,l=u[1].length;s<l;s+=2)u[1][s]===-1&&u[1][s+1]===-1?f=null:(c=e+u[1][s]*i,h=r-u[1][s+1]*i,f&&d.push(f.x,f.y,c,h),f={x:c,y:h});e+=u[0]*i}return d}},{}],325:[function(t,e,r){\"use strict\";var n=e.exports={};n.version=t(\"../package.json\").version,n.Map=t(\"./ui/map\"),n.Control=t(\"./ui/control/control\"),n.Navigation=t(\"./ui/control/navigation\"),n.Geolocate=t(\"./ui/control/geolocate\"),n.Attribution=t(\"./ui/control/attribution\"),n.Popup=t(\"./ui/popup\"),n.Marker=t(\"./ui/marker\"),n.Style=t(\"./style/style\"),n.LngLat=t(\"./geo/lng_lat\"),n.LngLatBounds=t(\"./geo/lng_lat_bounds\"),n.Point=t(\"point-geometry\"),n.Evented=t(\"./util/evented\"),n.util=t(\"./util/util\"),n.supported=t(\"./util/browser\").supported;var i=t(\"./util/ajax\");n.util.getJSON=i.getJSON,n.util.getArrayBuffer=i.getArrayBuffer;var a=t(\"./util/config\");n.config=a,Object.defineProperty(n,\"accessToken\",{get:function(){return a.ACCESS_TOKEN},set:function(t){a.ACCESS_TOKEN=t}})},{\"../package.json\":426,\"./geo/lng_lat\":321,\"./geo/lng_lat_bounds\":322,\"./style/style\":360,\"./ui/control/attribution\":391,\"./ui/control/control\":392,\"./ui/control/geolocate\":393,\"./ui/control/navigation\":394,\"./ui/map\":403,\"./ui/marker\":404,\"./ui/popup\":405,\"./util/ajax\":407,\"./util/browser\":408,\"./util/config\":413,\"./util/evented\":416,\"./util/util\":424,\"point-geometry\":465}],326:[function(t,e,r){\"use strict\";var n=t(\"assert\");e.exports=function(t){for(var e={define:{},initialize:{}},r=0;r<t.length;r++){var i=t[r];n(\"u_\"===i.name.slice(0,2))\n",
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n,s=t.gl,l=t.transform,u=r.paint[\"background-color\"],c=r.paint[\"background-pattern\"],h=r.paint[\"background-opacity\"],f=c?t.spriteAtlas.getPosition(c.from,!0):null,d=c?t.spriteAtlas.getPosition(c.to,!0):null;if(t.setDepthSublayer(0),f&&d){if(t.isOpaquePass)return;n=t.useProgram(\"pattern\"),s.uniform1i(n.u_image,0),s.uniform2fv(n.u_pattern_tl_a,f.tl),s.uniform2fv(n.u_pattern_br_a,f.br),s.uniform2fv(n.u_pattern_tl_b,d.tl),s.uniform2fv(n.u_pattern_br_b,d.br),s.uniform1f(n.u_opacity,h),s.uniform1f(n.u_mix,c.t),s.uniform2fv(n.u_pattern_size_a,f.size),s.uniform2fv(n.u_pattern_size_b,d.size),s.uniform1f(n.u_scale_a,c.fromScale),s.uniform1f(n.u_scale_b,c.toScale),s.activeTexture(s.TEXTURE0),t.spriteAtlas.bind(s,!0),t.tileExtentPatternVAO.bind(s,n,t.tileExtentBuffer)}else{if(t.isOpaquePass!==(1===u[3]))return;var p=a([{name:\"u_color\",components:4},{name:\"u_opacity\",components:1}]);n=t.useProgram(\"fill\",[],p,p),s.uniform4fv(n.u_color,u),s.uniform1f(n.u_opacity,h),t.tileExtentVAO.bind(s,n,t.tileExtentBuffer)}s.disable(s.STENCIL_TEST);for(var m=l.coveringTiles({tileSize:o}),g=0;g<m.length;g++){var v=m[g];if(f&&d){var y={coord:v,tileSize:o};s.uniform1f(n.u_tile_units_to_pixels,1/i(y,1,t.transform.tileZoom));var b=y.tileSize*Math.pow(2,t.transform.tileZoom-y.coord.z),x=b*(y.coord.x+v.w*Math.pow(2,y.coord.z)),_=b*y.coord.y;s.uniform2f(n.u_pixel_coord_upper,x>>16,_>>16),s.uniform2f(n.u_pixel_coord_lower,65535&x,65535&_)}s.uniformMatrix4fv(n.u_matrix,!1,t.transform.calculatePosMatrix(v)),s.drawArrays(s.TRIANGLE_STRIP,0,t.tileExtentBuffer.length)}s.stencilMask(0),s.stencilFunc(s.EQUAL,128,128)}var i=t(\"../source/pixels_to_tile_units\"),a=t(\"./create_uniform_pragmas\"),o=512;e.exports=n},{\"../source/pixels_to_tile_units\":345,\"./create_uniform_pragmas\":326}],328:[function(t,e,r){\"use strict\";function n(t,e,r,n){if(!t.isOpaquePass){var a=t.gl;t.setDepthSublayer(0),t.depthMask(!1),a.disable(a.STENCIL_TEST);for(var o=0;o<n.length;o++){var s=n[o],l=e.getTile(s),u=l.getBucket(r);if(u){var c=u.bufferGroups.circle;if(c){var h=u.paintAttributes.circle[r.id],f=t.useProgram(\"circle\",h.defines,h.vertexPragmas,h.fragmentPragmas);\"map\"===r.paint[\"circle-pitch-scale\"]?(a.uniform1i(f.u_scale_with_map,!0),a.uniform2f(f.u_extrude_scale,t.transform.pixelsToGLUnits[0]*t.transform.altitude,t.transform.pixelsToGLUnits[1]*t.transform.altitude)):(a.uniform1i(f.u_scale_with_map,!1),a.uniform2fv(f.u_extrude_scale,t.transform.pixelsToGLUnits)),a.uniform1f(f.u_devicepixelratio,i.devicePixelRatio),a.uniformMatrix4fv(f.u_matrix,!1,t.translatePosMatrix(s.posMatrix,l,r.paint[\"circle-translate\"],r.paint[\"circle-translate-anchor\"])),u.setUniforms(a,\"circle\",f,r,{zoom:t.transform.zoom});for(var d=0;d<c.length;d++){var p=c[d];p.vaos[r.id].bind(a,f,p.layoutVertexBuffer,p.elementBuffer,p.paintVertexBuffers[r.id]),a.drawElements(a.TRIANGLES,3*p.elementBuffer.length,a.UNSIGNED_SHORT,0)}}}}}}var i=t(\"../util/browser\");e.exports=n},{\"../util/browser\":408}],329:[function(t,e,r){\"use strict\";function n(t,e,r,n){var i=t.gl;i.enable(i.STENCIL_TEST);for(var a=t.useProgram(\"collisionbox\"),o=0;o<n.length;o++){var s=n[o],l=e.getTile(s),u=l.getBucket(r);if(u){var c=u.bufferGroups.collisionBox;if(c&&c.length){var h=c[0];0!==h.layoutVertexBuffer.length&&(i.uniformMatrix4fv(a.u_matrix,!1,s.posMatrix),t.enableTileClippingMask(s),t.lineWidth(1),i.uniform1f(a.u_scale,Math.pow(2,t.transform.zoom-l.coord.z)),i.uniform1f(a.u_zoom,10*t.transform.zoom),i.uniform1f(a.u_maxzoom,10*(l.coord.z+1)),h.vaos[r.id].bind(i,a,h.layoutVertexBuffer),i.drawArrays(i.LINES,0,h.layoutVertexBuffer.length))}}}}e.exports=n},{}],330:[function(t,e,r){\"use strict\";function n(t,e,r){if(!t.isOpaquePass&&t.options.debug)for(var n=0;n<r.length;n++)i(t,e,r[n])}function i(t,e,r){var n=t.gl;n.disable(n.STENCIL_TEST),t.lineWidth(1*o.devicePixelRatio);var i=r.posMatrix,h=t.useProgram(\"debug\");n.uniformMatrix4fv(h.u_matrix,!1,i),n.uniform4f(h.u_color,1,0,0,1),t.debugVAO.bind(n,h,t.debugBuffer),n.drawArrays(n.LINE_STRIP,0,t.debugBuffer.length);for(var f=a(r.toString(),50,200,5),d=new t.PosArray,p=0;p<f.length;p+=2)d.emplaceBack(f[p],f[p+1]);var m=new u(d.serialize(),t.PosArray.serialize(),u.BufferType.VERTEX);(new c).bind(n,h,m),n.uniform4f(h.u_color,1,1,1,1);for(var g=e.getTile(r).tileSize,v=l/(Math.pow(2,t.transform.zoom-r.z)*g),y=[[-1,-1],[-1,1],[1,-1],[1,1]],b=0;b<y.length;b++){var x=y[b];n.uniformMatrix4fv(h.u_matrix,!1,s.translate([],i,[v*x[0],v*x[1],0])),n.drawArrays(n.LINES,0,m.length)}n.uniform4f(h.u_color,0,0,0,1),n.uniformMatrix4fv(h.u_matrix,!1,i),n.drawArrays(n.LINES,0,m.length)}var a=t(\"../lib/debugtext\"),o=t(\"../util/browser\"),s=t(\"gl-matrix\").mat4,l=t(\"../data/bucket\").EXTENT,u=t(\"../data/buffer\"),c=t(\"./vertex_array_object\");e.exports=n},{\"../data/bucket\":311,\"../data/buffer\":316,\"../lib/debugtext\":324,\"../util/browser\":408,\"./vertex_array_object\":339,\"gl-matrix\":177}],331:[function(t,e,r){\"use strict\";function n(t,e,r,n){var o=t.gl;o.enable(o.STENCIL_TEST);var s;if(s=!r.paint[\"fill-pattern\"]&&(r.isPaintValueFeatureConstant(\"fill-color\")&&r.isPaintValueFeatureConstant(\"fill-opacity\")&&1===r.paint[\"fill-color\"][3]&&1===r.paint[\"fill-opacity\"]),t.isOpaquePass===s){t.setDepthSublayer(1);for(var l=0;l<n.length;l++)i(t,e,r,n[l])}if(!t.isOpaquePass&&r.paint[\"fill-antialias\"]){t.lineWidth(2),t.depthMask(!1);var u=r.getPaintProperty(\"fill-outline-color\");(u||!r.paint[\"fill-pattern\"])&&u?t.setDepthSublayer(2):t.setDepthSublayer(0);for(var c=0;c<n.length;c++)a(t,e,r,n[c])}}function i(t,e,r,n){var i=e.getTile(n),a=i.getBucket(r);if(a){var s=a.bufferGroups.fill;if(s){var l,u=t.gl,c=r.paint[\"fill-pattern\"];if(c)l=t.useProgram(\"pattern\"),o(c,r.paint[\"fill-opacity\"],i,n,t,l),u.activeTexture(u.TEXTURE0),t.spriteAtlas.bind(u,!0);else{var h=a.paintAttributes.fill[r.id];l=t.useProgram(\"fill\",h.defines,h.vertexPragmas,h.fragmentPragmas),a.setUniforms(u,\"fill\",l,r,{zoom:t.transform.zoom})}u.uniformMatrix4fv(l.u_matrix,!1,t.translatePosMatrix(n.posMatrix,i,r.paint[\"fill-translate\"],r.paint[\"fill-translate-anchor\"])),t.enableTileClippingMask(n);for(var f=0;f<s.length;f++){var d=s[f];d.vaos[r.id].bind(u,l,d.layoutVertexBuffer,d.elementBuffer,d.paintVertexBuffers[r.id]),u.drawElements(u.TRIANGLES,d.elementBuffer.length,u.UNSIGNED_SHORT,0)}}}}function a(t,e,r,n){var i=e.getTile(n),a=i.getBucket(r);if(a){var s,l=t.gl,u=a.bufferGroups.fill,c=r.paint[\"fill-pattern\"],h=r.paint[\"fill-opacity\"],f=r.getPaintProperty(\"fill-outline-color\");if(c&&!f)s=t.useProgram(\"outlinepattern\"),l.uniform2f(s.u_world,l.drawingBufferWidth,l.drawingBufferHeight);else{var d=a.paintAttributes.fill[r.id];s=t.useProgram(\"outline\",d.defines,d.vertexPragmas,d.fragmentPragmas),l.uniform2f(s.u_world,l.drawingBufferWidth,l.drawingBufferHeight),l.uniform1f(s.u_opacity,h),a.setUniforms(l,\"fill\",s,r,{zoom:t.transform.zoom})}l.uniformMatrix4fv(s.u_matrix,!1,t.translatePosMatrix(n.posMatrix,i,r.paint[\"fill-translate\"],r.paint[\"fill-translate-anchor\"])),c&&o(c,h,i,n,t,s),t.enableTileClippingMask(n);for(var p=0;p<u.length;p++){var m=u[p];m.secondVaos[r.id].bind(l,s,m.layoutVertexBuffer,m.elementBuffer2,m.paintVertexBuffers[r.id]),l.drawElements(l.LINES,2*m.elementBuffer2.length,l.UNSIGNED_SHORT,0)}}}function o(t,e,r,n,i,a){var o=i.gl,l=i.spriteAtlas.getPosition(t.from,!0),u=i.spriteAtlas.getPosition(t.to,!0);if(l&&u){o.uniform1i(a.u_image,0),o.uniform2fv(a.u_pattern_tl_a,l.tl),o.uniform2fv(a.u_pattern_br_a,l.br),o.uniform2fv(a.u_pattern_tl_b,u.tl),o.uniform2fv(a.u_pattern_br_b,u.br),o.uniform1f(a.u_opacity,e),o.uniform1f(a.u_mix,t.t),o.uniform1f(a.u_tile_units_to_pixels,1/s(r,1,i.transform.tileZoom)),o.uniform2fv(a.u_pattern_size_a,l.size),o.uniform2fv(a.u_pattern_size_b,u.size),o.uniform1f(a.u_scale_a,t.fromScale),o.uniform1f(a.u_scale_b,t.toScale);var c=r.tileSize*Math.pow(2,i.transform.tileZoom-r.coord.z),h=c*(r.coord.x+n.w*Math.pow(2,r.coord.z)),f=c*r.coord.y;o.uniform2f(a.u_pixel_coord_upper,h>>16,f>>16),o.uniform2f(a.u_pixel_coord_lower,65535&h,65535&f),o.activeTexture(o.TEXTURE0),i.spriteAtlas.bind(o,!0)}}var s=t(\"../source/pixels_to_tile_units\");e.exports=n},{\"../source/pixels_to_tile_units\":345}],332:[function(t,e,r){\"use strict\";var n=t(\"../util/browser\"),i=t(\"gl-matrix\").mat2,a=t(\"../source/pixels_to_tile_units\");e.exports=function(t,e,r,o){if(!t.isOpaquePass){t.setDepthSublayer(0),t.depthMask(!1);var s=t.gl;if(s.enable(s.STENCIL_TEST),!(r.paint[\"line-width\"]<=0)){var l=1/n.devicePixelRatio,u=r.paint[\"line-blur\"]+l,c=r.paint[\"line-color\"],h=t.transform,f=i.create();i.scale(f,f,[1,Math.cos(h._pitch)]),i.rotate(f,f,t.transform.angle);var d,p,m,g,v,y=Math.sqrt(h.height*h.height/4*(1+h.altitude*h.altitude)),b=h.height/2*Math.tan(h._pitch),x=(y+b)/y-1,_=r.paint[\"line-dasharray\"],w=r.paint[\"line-pattern\"];if(_)d=t.useProgram(\"linesdfpattern\"),s.uniform1f(d.u_linewidth,r.paint[\"line-width\"]/2),s.uniform1f(d.u_gapwidth,r.paint[\"line-gap-width\"]/2),s.uniform1f(d.u_antialiasing,l/2),s.uniform1f(d.u_blur,u),s.uniform4fv(d.u_color,c),s.uniform1f(d.u_opacity,r.paint[\"line-opacity\"]),p=t.lineAtlas.getDash(_.from,\"round\"===r.layout[\"line-cap\"]),m=t.lineAtlas.getDash(_.to,\"round\"===r.layout[\"line-cap\"]),s.uniform1i(d.u_image,0),s.activeTexture(s.TEXTURE0),t.lineAtlas.bind(s),s.uniform1f(d.u_tex_y_a,p.y),s.uniform1f(d.u_tex_y_b,m.y),s.uniform1f(d.u_mix,_.t),s.uniform1f(d.u_extra,x),s.uniform1f(d.u_offset,-r.paint[\"line-offset\"]),s.uniformMatrix2fv(d.u_antialiasingmatrix,!1,f);else if(w){if(g=t.spriteAtlas.getPosition(w.from,!0),v=t.spriteAtlas.getPosition(w.to,!0),!g||!v)return;d=t.useProgram(\"linepattern\"),s.uniform1i(d.u_image,0),s.activeTexture(s.TEXTURE0),t.spriteAtlas.bind(s,!0),s.uniform1f(d.u_linewidth,r.paint[\"line-width\"]/2),s.uniform1f(d.u_gapwidth,r.paint[\"line-gap-width\"]/2),s.uniform1f(d.u_antialiasing,l/2),s.uniform1f(d.u_blur,u),s.uniform2fv(d.u_pattern_tl_a,g.tl),s.uniform2fv(d.u_pattern_br_a,g.br),s.uniform2fv(d.u_pattern_tl_b,v.tl),s.uniform2fv(d.u_pattern_br_b,v.br),s.uniform1f(d.u_fade,w.t),s.uniform1f(d.u_opacity,r.paint[\"line-opacity\"]),s.uniform1f(d.u_extra,x),s.uniform1f(d.u_offset,-r.paint[\"line-offset\"]),s.uniformMatrix2fv(d.u_antialiasingmatrix,!1,f)}else d=t.useProgram(\"line\"),s.uniform1f(d.u_linewidth,r.paint[\"line-width\"]/2),s.uniform1f(d.u_gapwidth,r.paint[\"line-gap-width\"]/2),s.uniform1f(d.u_antialiasing,l/2),s.uniform1f(d.u_blur,u),s.uniform1f(d.u_extra,x),s.uniform1f(d.u_offset,-r.paint[\"line-offset\"]),s.uniformMatrix2fv(d.u_antialiasingmatrix,!1,f),s.uniform4fv(d.u_color,c),s.uniform1f(d.u_opacity,r.paint[\"line-opacity\"]);for(var M=0;M<o.length;M++){var k=o[M],A=e.getTile(k),T=A.getBucket(r);if(T){var S=T.bufferGroups.line;if(S){t.enableTileClippingMask(k);var E=t.translatePosMatrix(k.posMatrix,A,r.paint[\"line-translate\"],r.paint[\"line-translate-anchor\"]);s.uniformMatrix4fv(d.u_matrix,!1,E);var L=1/a(A,1,t.transform.zoom);if(_){var C=p.width*_.fromScale,z=m.width*_.toScale,D=[1/a(A,C,t.transform.tileZoom),-p.height/2],I=[1/a(A,z,t.transform.tileZoom),-m.height/2],P=t.lineAtlas.width/(256*Math.min(C,z)*n.devicePixelRatio)/2;s.uniform1f(d.u_ratio,L),s.uniform2fv(d.u_patternscale_a,D),s.uniform2fv(d.u_patternscale_b,I),s.uniform1f(d.u_sdfgamma,P)}else w?(s.uniform1f(d.u_ratio,L),s.uniform2fv(d.u_pattern_size_a,[a(A,g.size[0]*w.fromScale,t.transform.tileZoom),v.size[1]]),s.uniform2fv(d.u_pattern_size_b,[a(A,v.size[0]*w.toScale,t.transform.tileZoom),v.size[1]])):s.uniform1f(d.u_ratio,L);for(var O=0;O<S.length;O++){var j=S[O];j.vaos[r.id].bind(s,d,j.layoutVertexBuffer,j.elementBuffer),s.drawElements(s.TRIANGLES,3*j.elementBuffer.length,s.UNSIGNED_SHORT,0)}}}}}}}},{\"../source/pixels_to_tile_units\":345,\"../util/browser\":408,\"gl-matrix\":177}],333:[function(t,e,r){\"use strict\";function n(t,e,r,n){if(!t.isOpaquePass){var a=t.gl;a.enable(a.DEPTH_TEST),t.depthMask(!0),a.depthFunc(a.LESS);for(var o=n.length&&n[0].z,s=0;s<n.length;s++){var l=n[s];t.setDepthSublayer(l.z-o),i(t,e,r,l)}a.depthFunc(a.LEQUAL)}}function i(t,e,r,n){var i=t.gl;i.disable(i.STENCIL_TEST);var u=e.getTile(n),c=t.transform.calculatePosMatrix(n,e.maxzoom),h=t.useProgram(\"raster\");i.uniformMatrix4fv(h.u_matrix,!1,c),i.uniform1f(h.u_brightness_low,r.paint[\"raster-brightness-min\"]),i.uniform1f(h.u_brightness_high,r.paint[\"raster-brightness-max\"]),i.uniform1f(h.u_saturation_factor,s(r.paint[\"raster-saturation\"])),i.uniform1f(h.u_contrast_factor,o(r.paint[\"raster-contrast\"])),i.uniform3fv(h.u_spin_weights,a(r.paint[\"raster-hue-rotate\"]));var f,d,p=u.source&&u.source.findLoadedParent(n,0,{}),m=l(u,p,r,t.transform);i.activeTexture(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,u.texture),i.activeTexture(i.TEXTURE1),p?(i.bindTexture(i.TEXTURE_2D,p.texture),f=Math.pow(2,p.coord.z-u.coord.z),d=[u.coord.x*f%1,u.coord.y*f%1]):(i.bindTexture(i.TEXTURE_2D,u.texture),m[1]=0),i.uniform2fv(h.u_tl_parent,d||[0,0]),i.uniform1f(h.u_scale_parent,f||1),i.uniform1f(h.u_buffer_scale,1),i.uniform1f(h.u_opacity0,m[0]),i.uniform1f(h.u_opacity1,m[1]),i.uniform1i(h.u_image0,0),i.uniform1i(h.u_image1,1);var g=u.boundsBuffer||t.rasterBoundsBuffer;(u.boundsVAO||t.rasterBoundsVAO).bind(i,h,g),i.drawArrays(i.TRIANGLE_STRIP,0,g.length)}function a(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}function o(t){return t>0?1/(1-t):1+t}function s(t){return t>0?1-1/(1.001-t):-t}function l(t,e,r,n){var i=[1,0],a=r.paint[\"raster-fade-duration\"];if(t.source&&a>0){var o=(new Date).getTime(),s=(o-t.timeAdded)/a,l=e?(o-e.timeAdded)/a:-1,c=n.coveringZoomLevel(t.source),h=!!e&&Math.abs(e.coord.z-c)>Math.abs(t.coord.z-c);!e||h?(i[0]=u.clamp(s,0,1),i[1]=1-i[0]):(i[0]=u.clamp(1-l,0,1),i[1]=1-i[0])}var f=r.paint[\"raster-opacity\"];return i[0]*=f,i[1]*=f,i}var u=t(\"../util/util\"),c=t(\"../util/struct_array\");e.exports=n,n.RasterBoundsArray=new c({members:[{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]})},{\"../util/struct_array\":422,\"../util/util\":424}],334:[function(t,e,r){\"use strict\";function n(t,e,r,n){if(!t.isOpaquePass){var a=!(r.layout[\"text-allow-overlap\"]||r.layout[\"icon-allow-overlap\"]||r.layout[\"text-ignore-placement\"]||r.layout[\"icon-ignore-placement\"]),o=t.gl;a?o.disable(o.STENCIL_TEST):o.enable(o.STENCIL_TEST),t.setDepthSublayer(0),t.depthMask(!1),o.disable(o.DEPTH_TEST),i(t,e,r,n,!1,r.paint[\"icon-translate\"],r.paint[\"icon-translate-anchor\"],r.layout[\"icon-rotation-alignment\"],r.layout[\"icon-rotation-alignment\"],r.layout[\"icon-size\"],r.paint[\"icon-halo-width\"],r.paint[\"icon-halo-color\"],r.paint[\"icon-halo-blur\"],r.paint[\"icon-opacity\"],r.paint[\"icon-color\"]),i(t,e,r,n,!0,r.paint[\"text-translate\"],r.paint[\"text-translate-anchor\"],r.layout[\"text-rotation-alignment\"],r.layout[\"text-pitch-alignment\"],r.layout[\"text-size\"],r.paint[\"text-halo-width\"],r.paint[\"text-halo-color\"],r.paint[\"text-halo-blur\"],r.paint[\"text-opacity\"],r.paint[\"text-color\"]),o.enable(o.DEPTH_TEST),e.map.showCollisionBoxes&&s(t,e,r,n)}}function i(t,e,r,n,i,o,s,l,u,c,h,f,d,p,m){for(var g=0;g<n.length;g++){var v=e.getTile(n[g]),y=v.getBucket(r);if(y){var b=y.bufferGroups,x=i?b.glyph:b.icon;x.length&&(t.enableTileClippingMask(n[g]),a(t,r,n[g].posMatrix,v,y,x,i,i||y.sdfIcons,!i&&y.iconsNeedLinear,i?y.adjustedTextSize:y.adjustedIconSize,y.fontstack,o,s,l,u,c,h,f,d,p,m))}}}function a(t,e,r,n,i,a,s,u,c,h,f,d,p,m,g,v,y,b,x,_,w){var M,k,A,T=t.gl,S=t.transform,E=\"map\"===m,L=\"map\"===g,C=s?24:1,z=v/C;if(L?(k=l(n,1,t.transform.zoom)*z,A=1/Math.cos(S._pitch),M=[k,k]):(k=t.transform.altitude*z,A=1,M=[S.pixelsToGLUnits[0]*k,S.pixelsToGLUnits[1]*k]),s||t.style.sprite.loaded()){var D=t.useProgram(u?\"sdf\":\"icon\");if(T.uniformMatrix4fv(D.u_matrix,!1,t.translatePosMatrix(r,n,d,p)),T.uniform1i(D.u_rotate_with_map,E),T.uniform1i(D.u_pitch_with_map,L),T.uniform2fv(D.u_extrude_scale,M),T.activeTexture(T.TEXTURE0),T.uniform1i(D.u_texture,0),s){var I=f&&t.glyphSource.getGlyphAtlas(f);if(!I)return;I.updateTexture(T),T.uniform2f(D.u_texsize,I.width/4,I.height/4)}else{var P=t.options.rotating||t.options.zooming,O=1!==z||o.devicePixelRatio!==t.spriteAtlas.pixelRatio||c,j=L||t.transform.pitch;t.spriteAtlas.bind(T,u||P||O||j),T.uniform2f(D.u_texsize,t.spriteAtlas.width/4,t.spriteAtlas.height/4)}var R=Math.log(v/h)/Math.LN2||0;T.uniform1f(D.u_zoom,10*(t.transform.zoom-R)),T.activeTexture(T.TEXTURE1),t.frameHistory.bind(T),T.uniform1i(D.u_fadetexture,1);var F;if(u){var N=.105*C/v/o.devicePixelRatio;if(y){T.uniform1f(D.u_gamma,(1.19*x/z/8+N)*A),T.uniform4fv(D.u_color,b),T.uniform1f(D.u_opacity,_),T.uniform1f(D.u_buffer,(6-y/z)/8);for(var B=0;B<a.length;B++)F=a[B],F.vaos[e.id].bind(T,D,F.layoutVertexBuffer,F.elementBuffer),T.drawElements(T.TRIANGLES,3*F.elementBuffer.length,T.UNSIGNED_SHORT,0)}T.uniform1f(D.u_gamma,N*A),T.uniform4fv(D.u_color,w),T.uniform1f(D.u_opacity,_),T.uniform1f(D.u_buffer,.75),T.uniform1f(D.u_pitch,S.pitch/360*2*Math.PI),T.uniform1f(D.u_bearing,S.bearing/360*2*Math.PI),T.uniform1f(D.u_aspect_ratio,S.width/S.height);for(var U=0;U<a.length;U++)F=a[U],F.vaos[e.id].bind(T,D,F.layoutVertexBuffer,F.elementBuffer),T.drawElements(T.TRIANGLES,3*F.elementBuffer.length,T.UNSIGNED_SHORT,0)}else{T.uniform1f(D.u_opacity,_);for(var V=0;V<a.length;V++)F=a[V],F.vaos[e.id].bind(T,D,F.layoutVertexBuffer,F.elementBuffer),T.drawElements(T.TRIANGLES,3*F.elementBuffer.length,T.UNSIGNED_SHORT,0)}}}var o=t(\"../util/browser\"),s=t(\"./draw_collision_debug\"),l=t(\"../source/pixels_to_tile_units\");e.exports=n},{\"../source/pixels_to_tile_units\":345,\"../util/browser\":408,\"./draw_collision_debug\":329}],335:[function(t,e,r){\"use strict\";function n(){this.changeTimes=new Float64Array(256),this.changeOpacities=new Uint8Array(256),this.opacities=new Uint8ClampedArray(256),this.array=new Uint8Array(this.opacities.buffer),this.fadeDuration=300,this.previousZoom=0,this.firstFrame=!0}e.exports=n,n.prototype.record=function(t){var e=Date.now();this.firstFrame&&(e=0,this.firstFrame=!1),t=Math.floor(10*t);var r;if(t<this.previousZoom)for(r=t+1;r<=this.previousZoom;r++)this.changeTimes[r]=e,this.changeOpacities[r]=this.opacities[r];else for(r=t;r>this.previousZoom;r--)this.changeTimes[r]=e,this.changeOpacities[r]=this.opacities[r];for(r=0;r<256;r++){var n=e-this.changeTimes[r],i=n/this.fadeDuration*255;this.opacities[r]=r<=t?this.changeOpacities[r]+i:this.changeOpacities[r]-i}this.changed=!0,this.previousZoom=t},n.prototype.bind=function(t){this.texture?(t.bindTexture(t.TEXTURE_2D,this.texture),this.changed&&(t.texSubImage2D(t.TEXTURE_2D,0,0,0,256,1,t.ALPHA,t.UNSIGNED_BYTE,this.array),this.changed=!1)):(this.texture=t.createTexture(),t.bindTexture(t.TEXTURE_2D,this.texture),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texImage2D(t.TEXTURE_2D,0,t.ALPHA,256,1,0,t.ALPHA,t.UNSIGNED_BYTE,this.array))}},{}],336:[function(t,e,r){\"use strict\";function n(t,e){this.width=t,this.height=e,this.nextRow=0,this.bytes=4,this.data=new Uint8Array(this.width*this.height*this.bytes),this.positions={}}var i=t(\"../util/util\");e.exports=n,n.prototype.setSprite=function(t){this.sprite=t},n.prototype.getDash=function(t,e){var r=t.join(\",\")+e;return this.positions[r]||(this.positions[r]=this.addDash(t,e)),this.positions[r]},n.prototype.addDash=function(t,e){var r=e?7:0,n=2*r+1;if(this.nextRow+n>this.height)return i.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<t.length;o++)a+=t[o];for(var s=this.width/a,l=s/2,u=t.length%2==1,c=-r;c<=r;c++)for(var h=this.nextRow+r+c,f=this.width*h,d=u?-t[t.length-1]:0,p=t[0],m=1,g=0;g<this.width;g++){for(;p<g/s;)d=p,p+=t[m],u&&m===t.length-1&&(p+=t[0]),m++;var v,y=Math.abs(g-d*s),b=Math.abs(g-p*s),x=Math.min(y,b),_=m%2==1;if(e){var w=r?c/r*(l+1):0;if(_){var M=l-Math.abs(w);v=Math.sqrt(x*x+M*M)}else v=l-Math.sqrt(x*x+w*w)}else v=(_?1:-1)*x;this.data[3+4*(f+g)]=Math.max(0,Math.min(255,v+128))}var k={y:(this.nextRow+r+.5)/this.height,height:2*r/this.height,width:a};return this.nextRow+=n,this.dirty=!0,k},n.prototype.bind=function(t){this.texture?(t.bindTexture(t.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,t.texSubImage2D(t.TEXTURE_2D,0,0,0,this.width,this.height,t.RGBA,t.UNSIGNED_BYTE,this.data))):(this.texture=t.createTexture(),t.bindTexture(t.TEXTURE_2D,this.texture),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.REPEAT),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.REPEAT),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.LINEAR),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.LINEAR),t.texImage2D(t.TEXTURE_2D,0,t.RGBA,this.width,this.height,0,t.RGBA,t.UNSIGNED_BYTE,this.data))}},{\"../util/util\":424}],337:[function(t,e,r){\"use strict\";function n(t,e){this.gl=t,this.transform=e,this.reusableTextures={},this.preFbos={},this.frameHistory=new o,this.setup(),this.numSublayers=s.maxUnderzooming+s.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.lineWidthRange=t.getParameter(t.ALIASED_LINE_WIDTH_RANGE)}var i=t(\"../util/browser\"),a=t(\"gl-matrix\").mat4,o=t(\"./frame_history\"),s=t(\"../source/source_cache\"),l=t(\"../data/bucket\").EXTENT,u=t(\"../source/pixels_to_tile_units\"),c=t(\"../util/util\"),h=t(\"../util/struct_array\"),f=t(\"../data/buffer\"),d=t(\"./vertex_array_object\"),p=t(\"./draw_raster\").RasterBoundsArray,m=t(\"./create_uniform_pragmas\");e.exports=n,c.extend(n.prototype,t(\"./painter/use_program\")),n.prototype.resize=function(t,e){var r=this.gl;this.width=t*i.devicePixelRatio,this.height=e*i.devicePixelRatio,r.viewport(0,0,this.width,this.height)},n.prototype.setup=function(){var t=this.gl;t.verbose=!0,t.enable(t.BLEND),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),t.enable(t.STENCIL_TEST),t.enable(t.DEPTH_TEST),t.depthFunc(t.LEQUAL),this._depthMask=!1,t.depthMask(!1);var e=this.PosArray=new h({members:[{name:\"a_pos\",type:\"Int16\",components:2}]}),r=new e;r.emplaceBack(0,0),r.emplaceBack(l,0),r.emplaceBack(0,l),r.emplaceBack(l,l),this.tileExtentBuffer=new f(r.serialize(),e.serialize(),f.BufferType.VERTEX),this.tileExtentVAO=new d,this.tileExtentPatternVAO=new d;var n=new e;n.emplaceBack(0,0),n.emplaceBack(l,0),n.emplaceBack(l,l),n.emplaceBack(0,l),n.emplaceBack(0,0),this.debugBuffer=new f(n.serialize(),e.serialize(),f.BufferType.VERTEX),this.debugVAO=new d;var i=new p;i.emplaceBack(0,0,0,0),i.emplaceBack(l,0,32767,0),i.emplaceBack(0,l,0,32767),i.emplaceBack(l,l,32767,32767),this.rasterBoundsBuffer=new f(i.serialize(),p.serialize(),f.BufferType.VERTEX),this.rasterBoundsVAO=new d},n.prototype.clearColor=function(){var t=this.gl;t.clearColor(0,0,0,0),t.clear(t.COLOR_BUFFER_BIT)},n.prototype.clearStencil=function(){var t=this.gl;t.clearStencil(0),t.stencilMask(255),t.clear(t.STENCIL_BUFFER_BIT)},n.prototype.clearDepth=function(){var t=this.gl;t.clearDepth(1),this.depthMask(!0),t.clear(t.DEPTH_BUFFER_BIT)},n.prototype._renderTileClippingMasks=function(t){var e=this.gl;e.colorMask(!1,!1,!1,!1),this.depthMask(!1),e.disable(e.DEPTH_TEST),e.enable(e.STENCIL_TEST),e.stencilMask(248),e.stencilOp(e.KEEP,e.KEEP,e.REPLACE);var r=1;this._tileClippingMaskIDs={};for(var n=0;n<t.length;n++){var i=t[n],a=this._tileClippingMaskIDs[i.id]=r++<<3;e.stencilFunc(e.ALWAYS,a,248);var o=m([{name:\"u_color\",components:4},{name:\"u_opacity\",components:1}]),s=this.useProgram(\"fill\",[],o,o);e.uniformMatrix4fv(s.u_matrix,!1,i.posMatrix),this.tileExtentVAO.bind(e,s,this.tileExtentBuffer),e.drawArrays(e.TRIANGLE_STRIP,0,this.tileExtentBuffer.length)}e.stencilMask(0),e.colorMask(!0,!0,!0,!0),this.depthMask(!0),e.enable(e.DEPTH_TEST)},n.prototype.enableTileClippingMask=function(t){var e=this.gl;e.stencilFunc(e.EQUAL,this._tileClippingMaskIDs[t.id],248)},n.prototype.prepareBuffers=function(){},n.prototype.bindDefaultFramebuffer=function(){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,null)};var g={symbol:t(\"./draw_symbol\"),circle:t(\"./draw_circle\"),line:t(\"./draw_line\"),fill:t(\"./draw_fill\"),raster:t(\"./draw_raster\"),background:t(\"./draw_background\"),debug:t(\"./draw_debug\")};n.prototype.render=function(t,e){this.style=t,this.options=e,this.lineAtlas=t.lineAtlas,this.spriteAtlas=t.spriteAtlas,this.spriteAtlas.setSprite(t.sprite),this.glyphSource=t.glyphSource,this.frameHistory.record(this.transform.zoom),this.prepareBuffers(),this.clearColor(),this.clearDepth(),this.showOverdrawInspector(e.showOverdrawInspector),this.depthRange=(t._order.length+2)*this.numSublayers*this.depthEpsilon,this.renderPass({isOpaquePass:!0}),this.renderPass({isOpaquePass:!1})},n.prototype.renderPass=function(t){var e=this.style._groups,r=t.isOpaquePass;this.currentLayer=r?this.style._order.length:-1;for(var n=0;n<e.length;n++){var i,a=e[r?e.length-1-n:n],o=this.style.sources[a.source],s=[];if(o){for(s=o.getVisibleCoordinates(),i=0;i<s.length;i++)s[i].posMatrix=this.transform.calculatePosMatrix(s[i],o.maxzoom);this.clearStencil(),o.prepare&&o.prepare(),o.isTileClipped&&this._renderTileClippingMasks(s)}for(r?(this._showOverdrawInspector||this.gl.disable(this.gl.BLEND),this.isOpaquePass=!0):(this.gl.enable(this.gl.BLEND),this.isOpaquePass=!1,s.reverse()),i=0;i<a.length;i++){var l=a[r?a.length-1-i:i];this.currentLayer+=r?-1:1,this.renderLayer(this,o,l,s)}o&&g.debug(this,o,s)}},n.prototype.depthMask=function(t){t!==this._depthMask&&(this._depthMask=t,this.gl.depthMask(t))},n.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||n.length)&&(this.id=r.id,g[r.type](t,e,r,n))},n.prototype.setDepthSublayer=function(t){var e=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon,r=e-1+this.depthRange;this.gl.depthRange(r,e)},n.prototype.translatePosMatrix=function(t,e,r,n){if(!r[0]&&!r[1])return t;if(\"viewport\"===n){var i=Math.sin(-this.transform.angle),o=Math.cos(-this.transform.angle);r=[r[0]*o-r[1]*i,r[0]*i+r[1]*o]}var s=[u(e,r[0],this.transform.zoom),u(e,r[1],this.transform.zoom),0],l=new Float32Array(16);return a.translate(l,t,s),l},n.prototype.saveTexture=function(t){var e=this.reusableTextures[t.size];e?e.push(t):this.reusableTextures[t.size]=[t]},n.prototype.getTexture=function(t){var e=this.reusableTextures[t];return e&&e.length>0?e.pop():null},n.prototype.lineWidth=function(t){this.gl.lineWidth(c.clamp(t,this.lineWidthRange[0],this.lineWidthRange[1]))},n.prototype.showOverdrawInspector=function(t){if(t||this._showOverdrawInspector){this._showOverdrawInspector=t;var e=this.gl;if(t){e.blendFunc(e.CONSTANT_COLOR,e.ONE);e.blendColor(1/8,1/8,1/8,0),e.clearColor(0,0,0,1),e.clear(e.COLOR_BUFFER_BIT)}else e.blendFunc(e.ONE,e.ONE_MINUS_SRC_ALPHA)}}},{\"../data/bucket\":311,\"../data/buffer\":316,\"../source/pixels_to_tile_units\":345,\"../source/source_cache\":349,\"../util/browser\":408,\"../util/struct_array\":422,\"../util/util\":424,\"./create_uniform_pragmas\":326,\"./draw_background\":327,\"./draw_circle\":328,\"./draw_debug\":330,\"./draw_fill\":331,\"./draw_line\":332,\"./draw_raster\":333,\"./draw_symbol\":334,\"./frame_history\":335,\"./painter/use_program\":338,\"./vertex_array_object\":339,\"gl-matrix\":177}],338:[function(t,e,r){\"use strict\";function n(t,e){return t.replace(/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,function(t,r,n,i,a){return e[r][a].replace(/{type}/g,i).replace(/{precision}/g,n)})}var i=t(\"assert\"),a=t(\"../../util/util\"),o=t(\"mapbox-gl-shaders\"),s=o.util;e.exports._createProgram=function(t,e,r,l){for(var u=this.gl,c=u.createProgram(),h=o[t],f=\"#define MAPBOX_GL_JS;\\n\",d=0;d<e.length;d++)f+=\"#define \"+e[d]+\";\\n\";var p=u.createShader(u.FRAGMENT_SHADER);u.shaderSource(p,n(f+h.fragmentSource,l)),u.compileShader(p),i(u.getShaderParameter(p,u.COMPILE_STATUS),u.getShaderInfoLog(p)),u.attachShader(c,p);var m=u.createShader(u.VERTEX_SHADER);u.shaderSource(m,n(f+s+h.vertexSource,r)),u.compileShader(m),i(u.getShaderParameter(m,u.COMPILE_STATUS),u.getShaderInfoLog(m)),u.attachShader(c,m),u.linkProgram(c),i(u.getProgramParameter(c,u.LINK_STATUS),u.getProgramInfoLog(c));for(var g={},v=u.getProgramParameter(c,u.ACTIVE_ATTRIBUTES),y=0;y<v;y++){var b=u.getActiveAttrib(c,y);g[b.name]=u.getAttribLocation(c,b.name)}for(var x={},_=u.getProgramParameter(c,u.ACTIVE_UNIFORMS),w=0;w<_;w++){var M=u.getActiveUniform(c,w);x[M.name]=u.getUniformLocation(c,M.name)}return a.extend({program:c,definition:h,attributes:g,numAttributes:v},g,x)},e.exports._createProgramCached=function(t,e,r,n){this.cache=this.cache||{};var i=JSON.stringify({name:t,defines:e,vertexPragmas:r,fragmentPragmas:n});return this.cache[i]||(this.cache[i]=this._createProgram(t,e,r,n)),this.cache[i]},e.exports.useProgram=function(t,e,r,n){var i=this.gl;e=e||[],this._showOverdrawInspector&&(e=e.concat(\"OVERDRAW_INSPECTOR\"));var a=this._createProgramCached(t,e,r,n);return this.currentProgram!==a&&(i.useProgram(a.program),this.currentProgram=a),a}},{\"../../util/util\":424,assert:40,\"mapbox-gl-shaders\":285}],339:[function(t,e,r){\"use strict\";function n(){this.boundProgram=null,this.boundVertexBuffer=null,this.boundVertexBuffer2=null,this.boundElementBuffer=null,this.vao=null}var i=t(\"assert\");e.exports=n,n.prototype.bind=function(t,e,r,n,i){void 0===t.extVertexArrayObject&&(t.extVertexArrayObject=t.getExtension(\"OES_vertex_array_object\"));var a=!this.vao||this.boundProgram!==e||this.boundVertexBuffer!==r||this.boundVertexBuffer2!==i||this.boundElementBuffer!==n;!t.extVertexArrayObject||a?this.freshBind(t,e,r,n,i):t.extVertexArrayObject.bindVertexArrayOES(this.vao)},n.prototype.freshBind=function(t,e,r,n,a){var o,s=e.numAttributes;if(t.extVertexArrayObject)this.vao&&this.destroy(t),this.vao=t.extVertexArrayObject.createVertexArrayOES(),t.extVertexArrayObject.bindVertexArrayOES(this.vao),o=0,this.boundProgram=e,this.boundVertexBuffer=r,this.boundVertexBuffer2=a,this.boundElementBuffer=n;else{o=t.currentNumAttributes||0;for(var l=s;l<o;l++)i(0!==l),t.disableVertexAttribArray(l)}for(var u=o;u<s;u++)t.enableVertexAttribArray(u);r.bind(t),r.setVertexAttribPointers(t,e),a&&(a.bind(t),a.setVertexAttribPointers(t,e)),n&&n.bind(t),t.currentNumAttributes=s},n.prototype.unbind=function(t){var e=t.extVertexArrayObject;e&&e.bindVertexArrayOES(null)},n.prototype.destroy=function(t){var e=t.extVertexArrayObject;e&&this.vao&&(e.deleteVertexArrayOES(this.vao),this.vao=null)}},{assert:40}],340:[function(t,e,r){\"use strict\";function n(t,e,r){e=e||{},this.id=t,this.dispatcher=r,this._data=e.data,void 0!==e.maxzoom&&(this.maxzoom=e.maxzoom),e.type&&(this.type=e.type);var n=s/this.tileSize;this.workerOptions=a.extend({source:this.id,cluster:e.cluster||!1,geojsonVtOptions:{buffer:(void 0!==e.buffer?e.buffer:128)*n,tolerance:(void 0!==e.tolerance?e.tolerance:.375)*n,extent:s,maxZoom:this.maxzoom},superclusterOptions:{maxZoom:Math.min(e.clusterMaxZoom,this.maxzoom-1)||this.maxzoom-1,extent:s,radius:(e.clusterRadius||50)*n,log:!1}},e.workerOptions),this._updateWorkerData(function(t){if(t)return void this.fire(\"error\",{error:t});this.fire(\"load\")}.bind(this))}var i=t(\"../util/evented\"),a=t(\"../util/util\"),o=t(\"resolve-url\"),s=t(\"../data/bucket\").EXTENT;e.exports=n,n.prototype=a.inherit(i,{type:\"geojson\",minzoom:0,maxzoom:18,tileSize:512,isTileClipped:!0,reparseOverscaled:!0,onAdd:function(t){this.map=t},setData:function(t){return this._data=t,this._updateWorkerData(function(t){if(t)return this.fire(\"error\",{error:t});this.fire(\"change\")}.bind(this)),this},_updateWorkerData:function(t){var e=a.extend({},this.workerOptions),r=this._data;\"string\"==typeof r?e.url=\"undefined\"!=typeof window?o(window.location.href,r):r:e.data=JSON.stringify(r),this.workerID=this.dispatcher.send(this.type+\".loadData\",e,function(e){this._loaded=!0,t(e)}.bind(this))},loadTile:function(t,e){var r=t.coord.z>this.maxzoom?Math.pow(2,t.coord.z-this.maxzoom):1,n={type:this.type,uid:t.uid,coord:t.coord,zoom:t.coord.z,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,overscaling:r,angle:this.map.transform.angle,\n",
       "pitch:this.map.transform.pitch,showCollisionBoxes:this.map.showCollisionBoxes};t.workerID=this.dispatcher.send(\"load tile\",n,function(r,n){if(t.unloadVectorData(this.map.painter),!t.aborted)return r?e(r):(t.loadVectorData(n,this.map.style),t.redoWhenDone&&(t.redoWhenDone=!1,t.redoPlacement(this)),e(null))}.bind(this),this.workerID)},abortTile:function(t){t.aborted=!0},unloadTile:function(t){t.unloadVectorData(this.map.painter),this.dispatcher.send(\"remove tile\",{uid:t.uid,source:this.id},function(){},t.workerID)},serialize:function(){return{type:this.type,data:this._data}}})},{\"../data/bucket\":311,\"../util/evented\":416,\"../util/util\":424,\"resolve-url\":482}],341:[function(t,e,r){\"use strict\";function n(t,e,r){r&&(this.loadGeoJSON=r),h.call(this,t,e)}var i=t(\"../util/util\"),a=t(\"../util/ajax\"),o=t(\"geojson-rewind\"),s=t(\"./geojson_wrapper\"),l=t(\"vt-pbf\"),u=t(\"supercluster\"),c=t(\"geojson-vt\"),h=t(\"./vector_tile_worker_source\");e.exports=n,n.prototype=i.inherit(h,{_geoJSONIndexes:{},loadVectorData:function(t,e){var r=t.source,n=t.coord;if(!this._geoJSONIndexes[r])return e(null,null);var i=this._geoJSONIndexes[r].getTile(Math.min(n.z,t.maxZoom),n.x,n.y);if(!i)return e(null,null);var a=new s(i.features);a.name=\"_geojsonTileLayer\";var o=l({layers:{_geojsonTileLayer:a}});0===o.byteOffset&&o.byteLength===o.buffer.byteLength||(o=new Uint8Array(o)),e(null,{tile:a,rawTileData:o.buffer})},loadData:function(t,e){var r=function(r,n){return r?e(r):\"object\"!=typeof n?e(new Error(\"Input data is not a valid GeoJSON object.\")):(o(n,!0),void this._indexData(n,t,function(r,n){if(r)return e(r);this._geoJSONIndexes[t.source]=n,e(null)}.bind(this)))}.bind(this);this.loadGeoJSON(t,r)},loadGeoJSON:function(t,e){if(t.url)a.getJSON(t.url,e);else{if(\"string\"!=typeof t.data)return e(new Error(\"Input data is not a valid GeoJSON object.\"));try{return e(null,JSON.parse(t.data))}catch(t){return e(new Error(\"Input data is not a valid GeoJSON object.\"))}}},_indexData:function(t,e,r){try{e.cluster?r(null,u(e.superclusterOptions).load(t.features)):r(null,c(t,e.geojsonVtOptions))}catch(t){return r(t)}}})},{\"../util/ajax\":407,\"../util/util\":424,\"./geojson_wrapper\":342,\"./vector_tile_worker_source\":353,\"geojson-rewind\":123,\"geojson-vt\":127,supercluster:509,\"vt-pbf\":536}],342:[function(t,e,r){\"use strict\";function n(t){this.features=t,this.length=t.length,this.extent=s}function i(t){if(this.type=t.type,1===t.type){this.rawGeometry=[];for(var e=0;e<t.geometry.length;e++)this.rawGeometry.push([t.geometry[e]])}else this.rawGeometry=t.geometry;this.properties=t.tags,this.extent=s}var a=t(\"point-geometry\"),o=t(\"vector-tile\").VectorTileFeature,s=t(\"../data/bucket\").EXTENT;e.exports=n,n.prototype.feature=function(t){return new i(this.features[t])},i.prototype.loadGeometry=function(){var t=this.rawGeometry;this.geometry=[];for(var e=0;e<t.length;e++){for(var r=t[e],n=[],i=0;i<r.length;i++)n.push(new a(r[i][0],r[i][1]));this.geometry.push(n)}return this.geometry},i.prototype.bbox=function(){this.geometry||this.loadGeometry();for(var t=this.geometry,e=1/0,r=-1/0,n=1/0,i=-1/0,a=0;a<t.length;a++)for(var o=t[a],s=0;s<o.length;s++){var l=o[s];e=Math.min(e,l.x),r=Math.max(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.y)}return[e,n,r,i]},i.prototype.toGeoJSON=o.prototype.toGeoJSON},{\"../data/bucket\":311,\"point-geometry\":465,\"vector-tile\":530}],343:[function(t,e,r){\"use strict\";function n(t,e,r){this.id=t,this.dispatcher=r,this.url=e.url,this.coordinates=e.coordinates,u.getImage(e.url,function(t,r){if(t)return this.fire(\"error\",{error:t});this.image=r,this.image.addEventListener(\"load\",function(){this.map._rerender()}.bind(this)),this._loaded=!0,this.fire(\"load\"),this.map&&this.setCoordinates(e.coordinates)}.bind(this))}var i=t(\"../util/util\"),a=t(\"./tile_coord\"),o=t(\"../geo/lng_lat\"),s=t(\"point-geometry\"),l=t(\"../util/evented\"),u=t(\"../util/ajax\"),c=t(\"../data/bucket\").EXTENT,h=t(\"../render/draw_raster\").RasterBoundsArray,f=t(\"../data/buffer\"),d=t(\"../render/vertex_array_object\");e.exports=n,n.prototype=i.inherit(l,{minzoom:0,maxzoom:22,tileSize:512,onAdd:function(t){this.map=t,this.image&&this.setCoordinates(this.coordinates)},setCoordinates:function(t){this.coordinates=t;var e=this.map,r=t.map(function(t){return e.transform.locationCoordinate(o.convert(t)).zoomTo(0)}),n=this.centerCoord=i.getCoordinatesCenter(r);return n.column=Math.round(n.column),n.row=Math.round(n.row),this.minzoom=this.maxzoom=n.zoom,this._coord=new a(n.zoom,n.column,n.row),this._tileCoords=r.map(function(t){var e=t.zoomTo(n.zoom);return new s(Math.round((e.column-n.column)*c),Math.round((e.row-n.row)*c))}),this.fire(\"change\"),this},_setTile:function(t){this._prepared=!1,this.tile=t;var e=new h;e.emplaceBack(this._tileCoords[0].x,this._tileCoords[0].y,0,0),e.emplaceBack(this._tileCoords[1].x,this._tileCoords[1].y,32767,0),e.emplaceBack(this._tileCoords[3].x,this._tileCoords[3].y,0,32767),e.emplaceBack(this._tileCoords[2].x,this._tileCoords[2].y,32767,32767),this.tile.buckets={},this.tile.boundsBuffer=new f(e.serialize(),h.serialize(),f.BufferType.VERTEX),this.tile.boundsVAO=new d,this.tile.state=\"loaded\"},prepare:function(){if(this._loaded&&this.image&&this.image.complete&&this.tile){var t=this.map.painter,e=t.gl;this._prepared?(e.bindTexture(e.TEXTURE_2D,this.tile.texture),e.texSubImage2D(e.TEXTURE_2D,0,0,0,e.RGBA,e.UNSIGNED_BYTE,this.image)):(this.tile.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.tile.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.CLAMP_TO_EDGE),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.CLAMP_TO_EDGE),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.RGBA,e.RGBA,e.UNSIGNED_BYTE,this.image))}},loadTile:function(t,e){this._coord&&this._coord.toString()===t.coord.toString()?(this._setTile(t),e(null)):(t.state=\"errored\",e(null))},serialize:function(){return{type:\"image\",urls:this.url,coordinates:this.coordinates}}})},{\"../data/bucket\":311,\"../data/buffer\":316,\"../geo/lng_lat\":321,\"../render/draw_raster\":333,\"../render/vertex_array_object\":339,\"../util/ajax\":407,\"../util/evented\":416,\"../util/util\":424,\"./tile_coord\":351,\"point-geometry\":465}],344:[function(t,e,r){\"use strict\";var n=t(\"../util/util\"),i=t(\"../util/ajax\"),a=t(\"../util/browser\"),o=t(\"../util/mapbox\").normalizeSourceURL;e.exports=function(t,e){var r=function(t,r){if(t)return e(t);var i=n.pick(r,[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\"]);r.vector_layers&&(i.vectorLayers=r.vector_layers,i.vectorLayerIds=i.vectorLayers.map(function(t){return t.id})),e(null,i)};t.url?i.getJSON(o(t.url),r):a.frame(r.bind(null,null,t))}},{\"../util/ajax\":407,\"../util/browser\":408,\"../util/mapbox\":421,\"../util/util\":424}],345:[function(t,e,r){\"use strict\";var n=t(\"../data/bucket\");e.exports=function(t,e,r){return e*(n.EXTENT/(t.tileSize*Math.pow(2,r-t.coord.z)))}},{\"../data/bucket\":311}],346:[function(t,e,r){\"use strict\";function n(t,e){var r=t.coord,n=e.coord;return r.z-n.z||r.y-n.y||r.w-n.w||r.x-n.x}function i(t){for(var e=t[0]||{},r=1;r<t.length;r++){var n=t[r];for(var i in n){var a=n[i],o=e[i];if(void 0===o)o=e[i]=a;else for(var s=0;s<a.length;s++)o.push(a[s])}}return e}var a=t(\"./tile_coord\");r.rendered=function(t,e,r,a,o,s){var l=t.tilesIn(r);l.sort(n);for(var u=[],c=0;c<l.length;c++){var h=l[c];h.tile.featureIndex&&u.push(h.tile.featureIndex.query({queryGeometry:h.queryGeometry,scale:h.scale,tileSize:h.tile.tileSize,bearing:s,params:a},e))}return i(u)},r.source=function(t,e){for(var r=t.getRenderableIds().map(function(e){return t.getTileByID(e)}),n=[],i={},o=0;o<r.length;o++){var s=r[o],l=new a(Math.min(s.sourceMaxZoom,s.coord.z),s.coord.x,s.coord.y,0).id;i[l]||(i[l]=!0,s.querySourceFeatures(n,e))}return n}},{\"./tile_coord\":351}],347:[function(t,e,r){\"use strict\";function n(t,e,r){this.id=t,this.dispatcher=r,i.extend(this,i.pick(e,[\"url\",\"scheme\",\"tileSize\"])),s(e,function(t,e){if(t)return this.fire(\"error\",t);i.extend(this,e),this.fire(\"load\")}.bind(this))}var i=t(\"../util/util\"),a=t(\"../util/ajax\"),o=t(\"../util/evented\"),s=t(\"./load_tilejson\"),l=t(\"../util/mapbox\").normalizeTileURL;e.exports=n,n.prototype=i.inherit(o,{minzoom:0,maxzoom:22,roundZoom:!0,scheme:\"xyz\",tileSize:512,_loaded:!1,onAdd:function(t){this.map=t},serialize:function(){return{type:\"raster\",url:this.url,tileSize:this.tileSize}},loadTile:function(t,e){function r(r,n){if(delete t.request,!t.aborted){if(r)return e(r);var i=this.map.painter.gl;t.texture=this.map.painter.getTexture(n.width),t.texture?(i.bindTexture(i.TEXTURE_2D,t.texture),i.texSubImage2D(i.TEXTURE_2D,0,0,0,i.RGBA,i.UNSIGNED_BYTE,n)):(t.texture=i.createTexture(),i.bindTexture(i.TEXTURE_2D,t.texture),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MIN_FILTER,i.LINEAR_MIPMAP_NEAREST),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MAG_FILTER,i.LINEAR),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_S,i.CLAMP_TO_EDGE),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_T,i.CLAMP_TO_EDGE),i.pixelStorei(i.UNPACK_PREMULTIPLY_ALPHA_WEBGL,!0),i.texImage2D(i.TEXTURE_2D,0,i.RGBA,i.RGBA,i.UNSIGNED_BYTE,n),t.texture.size=n.width),i.generateMipmap(i.TEXTURE_2D),this.map.animationLoop.set(this.map.style.rasterFadeDuration),t.state=\"loaded\",e(null)}}var n=l(t.coord.url(this.tiles,null,this.scheme),this.url,this.tileSize);t.request=a.getImage(n,r.bind(this))},abortTile:function(t){t.request&&(t.request.abort(),delete t.request)},unloadTile:function(t){t.texture&&this.map.painter.saveTexture(t.texture)}})},{\"../util/ajax\":407,\"../util/evented\":416,\"../util/mapbox\":421,\"../util/util\":424,\"./load_tilejson\":344}],348:[function(t,e,r){\"use strict\";var n=t(\"../util/util\"),i={vector:t(\"../source/vector_tile_source\"),raster:t(\"../source/raster_tile_source\"),geojson:t(\"../source/geojson_source\"),video:t(\"../source/video_source\"),image:t(\"../source/image_source\")};r.create=function(t,e,r){if(e=new i[e.type](t,e,r),e.id!==t)throw new Error(\"Expected Source id to be \"+t+\" instead of \"+e.id);return n.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],e),e},r.getType=function(t){return i[t]},r.setType=function(t,e){i[t]=e}},{\"../source/geojson_source\":340,\"../source/image_source\":343,\"../source/raster_tile_source\":347,\"../source/vector_tile_source\":352,\"../source/video_source\":354,\"../util/util\":424}],349:[function(t,e,r){\"use strict\";function n(t,e,r){this.id=t,this.dispatcher=r;var n=this._source=o.create(t,e,r).on(\"load\",function(){this.map&&this._source.onAdd&&this._source.onAdd(this.map),this._sourceLoaded=!0,this.tileSize=n.tileSize,this.minzoom=n.minzoom,this.maxzoom=n.maxzoom,this.roundZoom=n.roundZoom,this.reparseOverscaled=n.reparseOverscaled,this.isTileClipped=n.isTileClipped,this.attribution=n.attribution,this.vectorLayerIds=n.vectorLayerIds,this.fire(\"load\")}.bind(this)).on(\"error\",function(t){this._sourceErrored=!0,this.fire(\"error\",t)}.bind(this)).on(\"change\",function(){this.reload(),this.transform&&this.update(this.transform,this.map&&this.map.style.rasterFadeDuration),this.fire(\"change\")}.bind(this));this._tiles={},this._cache=new c(0,this.unloadTile.bind(this)),this._isIdRenderable=this._isIdRenderable.bind(this)}function i(t,e,r){var n=r.zoomTo(Math.min(t.z,e));return{x:(n.column-(t.x+t.w*Math.pow(2,t.z)))*d,y:(n.row-t.y)*d}}function a(t,e){return t%32-e%32}var o=t(\"./source\"),s=t(\"./tile\"),l=t(\"../util/evented\"),u=t(\"./tile_coord\"),c=t(\"../util/lru_cache\"),h=t(\"../geo/coordinate\"),f=t(\"../util/util\"),d=t(\"../data/bucket\").EXTENT;e.exports=n,n.maxOverzooming=10,n.maxUnderzooming=3,n.prototype=f.inherit(l,{onAdd:function(t){this.map=t,this._source&&this._source.onAdd&&this._source.onAdd(t)},loaded:function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},getSource:function(){return this._source},loadTile:function(t,e){return this._source.loadTile(t,e)},unloadTile:function(t){if(this._source.unloadTile)return this._source.unloadTile(t)},abortTile:function(t){if(this._source.abortTile)return this._source.abortTile(t)},serialize:function(){return this._source.serialize()},prepare:function(){if(this._sourceLoaded&&this._source.prepare)return this._source.prepare()},getIds:function(){return Object.keys(this._tiles).map(Number).sort(a)},getRenderableIds:function(){return this.getIds().filter(this._isIdRenderable)},_isIdRenderable:function(t){return this._tiles[t].isRenderable()&&!this._coveredTiles[t]},reload:function(){this._cache.reset();for(var t in this._tiles){var e=this._tiles[t];\"loading\"!==e.state&&(e.state=\"reloading\"),this.loadTile(this._tiles[t],this._tileLoaded.bind(this,this._tiles[t]))}},_tileLoaded:function(t,e){if(e)return t.state=\"errored\",this.fire(\"tile.error\",{tile:t,error:e}),void this._source.fire(\"tile.error\",{tile:t,error:e});t.source=this,t.timeAdded=(new Date).getTime(),this.fire(\"tile.load\",{tile:t}),this._source.fire(\"tile.load\",{tile:t})},getTile:function(t){return this.getTileByID(t.id)},getTileByID:function(t){return this._tiles[t]},getZoom:function(t){return t.zoom+t.scaleZoom(t.tileSize/this.tileSize)},findLoadedChildren:function(t,e,r){var n=!1;for(var i in this._tiles){var a=this._tiles[i];if(!(r[i]||!a.isRenderable()||a.coord.z<=t.z||a.coord.z>e)){var o=Math.pow(2,Math.min(a.coord.z,this.maxzoom)-Math.min(t.z,this.maxzoom));if(Math.floor(a.coord.x/o)===t.x&&Math.floor(a.coord.y/o)===t.y)for(r[i]=!0,n=!0;a&&a.coord.z-1>t.z;){var s=a.coord.parent(this.maxzoom).id;a=this._tiles[s],a&&a.isRenderable()&&(delete r[i],r[s]=!0)}}}return n},findLoadedParent:function(t,e,r){for(var n=t.z-1;n>=e;n--){t=t.parent(this.maxzoom);var i=this._tiles[t.id];if(i&&i.isRenderable())return r[t.id]=!0,i;if(this._cache.has(t.id))return this.addTile(t),r[t.id]=!0,this._tiles[t.id]}},updateCacheSize:function(t){var e=Math.ceil(t.width/t.tileSize)+1,r=Math.ceil(t.height/t.tileSize)+1,n=e*r;this._cache.setMaxSize(Math.floor(5*n))},update:function(t,e){if(this._sourceLoaded){var r,i,a;this.updateCacheSize(t);var o=(this.roundZoom?Math.round:Math.floor)(this.getZoom(t)),s=Math.max(o-n.maxOverzooming,this.minzoom),l=Math.max(o+n.maxUnderzooming,this.minzoom),c={},h=(new Date).getTime();this._coveredTiles={};var d=this.used?t.coveringTiles(this._source):[];for(r=0;r<d.length;r++)i=d[r],a=this.addTile(i),c[i.id]=!0,a.isRenderable()||this.findLoadedChildren(i,l,c)||this.findLoadedParent(i,s,c);for(var p={},m=Object.keys(c),g=0;g<m.length;g++){var v=m[g];i=u.fromID(v),a=this._tiles[v],a&&a.timeAdded>h-(e||0)&&(this.findLoadedChildren(i,l,c)&&(c[v]=!0),this.findLoadedParent(i,s,p))}var y;for(y in p)c[y]||(this._coveredTiles[y]=!0);for(y in p)c[y]=!0;var b=f.keysDifference(this._tiles,c);for(r=0;r<b.length;r++)this.removeTile(+b[r]);this.transform=t}},addTile:function(t){var e=this._tiles[t.id];if(e)return e;var r=t.wrapped();if(e=this._tiles[r.id],e||(e=this._cache.get(r.id))&&this._redoPlacement&&this._redoPlacement(e),!e){var n=t.z,i=n>this.maxzoom?Math.pow(2,n-this.maxzoom):1;e=new s(r,this.tileSize*i,this.maxzoom),this.loadTile(e,this._tileLoaded.bind(this,e))}return e.uses++,this._tiles[t.id]=e,this.fire(\"tile.add\",{tile:e}),this._source.fire(\"tile.add\",{tile:e}),e},removeTile:function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this.fire(\"tile.remove\",{tile:e}),this._source.fire(\"tile.remove\",{tile:e}),e.uses>0||(e.isRenderable()?this._cache.add(e.coord.wrapped().id,e):(e.aborted=!0,this.abortTile(e),this.unloadTile(e))))},clearTiles:function(){for(var t in this._tiles)this.removeTile(t);this._cache.reset()},tilesIn:function(t){for(var e={},r=this.getIds(),n=1/0,a=1/0,o=-1/0,s=-1/0,l=t[0].zoom,c=0;c<t.length;c++){var f=t[c];n=Math.min(n,f.column),a=Math.min(a,f.row),o=Math.max(o,f.column),s=Math.max(s,f.row)}for(var p=0;p<r.length;p++){var m=this._tiles[r[p]],g=u.fromID(r[p]),v=[i(g,m.sourceMaxZoom,new h(n,a,l)),i(g,m.sourceMaxZoom,new h(o,s,l))];if(v[0].x<d&&v[0].y<d&&v[1].x>=0&&v[1].y>=0){for(var y=[],b=0;b<t.length;b++)y.push(i(g,m.sourceMaxZoom,t[b]));var x=e[m.coord.id];void 0===x&&(x=e[m.coord.id]={tile:m,coord:g,queryGeometry:[],scale:Math.pow(2,this.transform.zoom-m.coord.z)}),x.queryGeometry.push(y)}}var _=[];for(var w in e)_.push(e[w]);return _},redoPlacement:function(){for(var t=this.getIds(),e=0;e<t.length;e++){this.getTileByID(t[e]).redoPlacement(this)}},getVisibleCoordinates:function(){return this.getRenderableIds().map(u.fromID)}})},{\"../data/bucket\":311,\"../geo/coordinate\":320,\"../util/evented\":416,\"../util/lru_cache\":420,\"../util/util\":424,\"./source\":348,\"./tile\":350,\"./tile_coord\":351}],350:[function(t,e,r){\"use strict\";function n(t,e,r){this.coord=t,this.uid=a.uniqueId(),this.uses=0,this.tileSize=e,this.sourceMaxZoom=r,this.buckets={},this.state=\"loading\"}function i(t,e){if(e){for(var r={},n=0;n<t.length;n++){var i=e.getLayer(t[n].layerId);if(i){var s=o.create(a.extend({layer:i,childLayers:t[n].childLayerIds.map(e.getLayer.bind(e)).filter(function(t){return t})},t[n]));r[s.id]=s}}return r}}var a=t(\"../util/util\"),o=t(\"../data/bucket\"),s=t(\"../data/feature_index\"),l=t(\"vector-tile\"),u=t(\"pbf\"),c=t(\"../util/vectortile_to_geojson\"),h=t(\"feature-filter\"),f=t(\"../symbol/collision_tile\"),d=t(\"../symbol/collision_box\"),p=t(\"../symbol/symbol_instances\"),m=t(\"../symbol/symbol_quads\");e.exports=n,n.prototype={loadVectorData:function(t,e){this.state=\"loaded\",t&&(this.collisionBoxArray=new d(t.collisionBoxArray),this.collisionTile=new f(t.collisionTile,this.collisionBoxArray),this.symbolInstancesArray=new p(t.symbolInstancesArray),this.symbolQuadsArray=new m(t.symbolQuadsArray),this.featureIndex=new s(t.featureIndex,t.rawTileData,this.collisionTile),this.rawTileData=t.rawTileData,this.buckets=i(t.buckets,e))},reloadSymbolData:function(t,e,r){if(\"unloaded\"!==this.state){this.collisionTile=new f(t.collisionTile,this.collisionBoxArray),this.featureIndex.setCollisionTile(this.collisionTile);for(var n in this.buckets){var o=this.buckets[n];\"symbol\"===o.type&&(o.destroy(e.gl),delete this.buckets[n])}a.extend(this.buckets,i(t.buckets,r))}},unloadVectorData:function(t){for(var e in this.buckets){this.buckets[e].destroy(t.gl)}this.collisionBoxArray=null,this.symbolQuadsArray=null,this.symbolInstancesArray=null,this.collisionTile=null,this.featureIndex=null,this.rawTileData=null,this.buckets=null,this.state=\"unloaded\"},redoPlacement:function(t){function e(e,r){this.reloadSymbolData(r,t.map.painter,t.map.style),t.fire(\"tile.load\",{tile:this}),this.state=\"loaded\",this.redoWhenDone&&(this.redoPlacement(t),this.redoWhenDone=!1)}if(\"loaded\"!==this.state||\"reloading\"===this.state)return void(this.redoWhenDone=!0);this.state=\"reloading\",t.dispatcher.send(\"redo placement\",{uid:this.uid,source:t.id,angle:t.map.transform.angle,pitch:t.map.transform.pitch,showCollisionBoxes:t.map.showCollisionBoxes},e.bind(this),this.workerID)},getBucket:function(t){return this.buckets&&this.buckets[t.ref||t.id]},querySourceFeatures:function(t,e){if(this.rawTileData){this.vtLayers||(this.vtLayers=new l.VectorTile(new u(new Uint8Array(this.rawTileData))).layers);var r=this.vtLayers._geojsonTileLayer||this.vtLayers[e.sourceLayer];if(r)for(var n=h(e.filter),i={z:this.coord.z,x:this.coord.x,y:this.coord.y},a=0;a<r.length;a++){var o=r.feature(a);if(n(o)){var s=new c(o,this.coord.z,this.coord.x,this.coord.y);s.tile=i,t.push(s)}}}},isRenderable:function(){return\"loaded\"===this.state||\"reloading\"===this.state}}},{\"../data/bucket\":311,\"../data/feature_index\":318,\"../symbol/collision_box\":376,\"../symbol/collision_tile\":378,\"../symbol/symbol_instances\":387,\"../symbol/symbol_quads\":388,\"../util/util\":424,\"../util/vectortile_to_geojson\":425,\"feature-filter\":117,pbf:459,\"vector-tile\":530}],351:[function(t,e,r){\"use strict\";function n(t,e,r,n){l(!isNaN(t)&&t>=0&&t%1==0),l(!isNaN(e)&&e>=0&&e%1==0),l(!isNaN(r)&&r>=0&&r%1==0),isNaN(n)&&(n=0),this.z=+t,this.x=+e,this.y=+r,this.w=+n,(n*=2)<0&&(n=n*-1-1);var i=1<<this.z;this.id=32*(i*i*n+i*this.y+this.x)+this.z,this.posMatrix=null}function i(t,e,r){for(var n,i=\"\",a=t;a>0;a--)n=1<<a-1,i+=(e&n?1:0)+(r&n?2:0);return i}function a(t,e){if(t.row>e.row){var r=t;t=e,e=r}return{x0:t.column,y0:t.row,x1:e.column,y1:e.row,dx:e.column-t.column,dy:e.row-t.row}}function o(t,e,r,n,i){var a=Math.max(r,Math.floor(e.y0)),o=Math.min(n,Math.ceil(e.y1));if(t.x0===e.x0&&t.y0===e.y0?t.x0+e.dy/t.dy*t.dx<e.x1:t.x1-e.dy/t.dy*t.dx<e.x0){var s=t;t=e,e=s}for(var l=t.dx/t.dy,u=e.dx/e.dy,c=t.dx>0,h=e.dx<0,f=a;f<o;f++){var d=l*Math.max(0,Math.min(t.dy,f+c-t.y0))+t.x0,p=u*Math.max(0,Math.min(e.dy,f+h-e.y0))+e.x0;i(Math.floor(p),Math.ceil(d),f)}}function s(t,e,r,n,i,s){var l,u=a(t,e),c=a(e,r),h=a(r,t);u.dy>c.dy&&(l=u,u=c,c=l),u.dy>h.dy&&(l=u,u=h,h=l),c.dy>h.dy&&(l=c,c=h,h=l),u.dy&&o(h,u,n,i,s),c.dy&&o(h,c,n,i,s)}var l=t(\"assert\"),u=t(\"whoots-js\"),c=t(\"../geo/coordinate\");e.exports=n,n.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y},n.prototype.toCoordinate=function(t){var e=Math.min(this.z,t),r=Math.pow(2,e),n=this.y,i=this.x+r*this.w;return new c(i,n,e)},n.fromID=function(t){var e=t%32,r=1<<e,i=(t-e)/32,a=i%r,o=(i-a)/r%r,s=Math.floor(i/(r*r));return s%2!=0&&(s=s*-1-1),s/=2,new n(e,a,o,s)},n.prototype.url=function(t,e,r){var n=u.getTileBBox(this.x,this.y,this.z),a=i(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",Math.min(this.z,e||this.z)).replace(\"{x}\",this.x).replace(\"{y}\",\"tms\"===r?Math.pow(2,this.z)-this.y-1:this.y).replace(\"{quadkey}\",a).replace(\"{bbox-epsg-3857}\",n)},n.prototype.parent=function(t){return 0===this.z?null:this.z>t?new n(this.z-1,this.x,this.y,this.w):new n(this.z-1,Math.floor(this.x/2),Math.floor(this.y/2),this.w)},n.prototype.wrapped=function(){return new n(this.z,this.x,this.y,0)},n.prototype.children=function(t){if(this.z>=t)return[new n(this.z+1,this.x,this.y,this.w)];var e=this.z+1,r=2*this.x,i=2*this.y;return[new n(e,r,i,this.w),new n(e,r+1,i,this.w),new n(e,r,i+1,this.w),new n(e,r+1,i+1,this.w)]},n.cover=function(t,e,r){function i(t,e,i){var s,l,u;if(i>=0&&i<=a)for(s=t;s<e;s++)l=(s%a+a)%a,u=new n(r,l,i,Math.floor(s/a)),o[u.id]=u}var a=1<<t,o={};return s(e[0],e[1],e[2],0,a,i),s(e[2],e[3],e[0],0,a,i),Object.keys(o).map(function(t){return o[t]})}},{\"../geo/coordinate\":320,assert:40,\"whoots-js\":546}],352:[function(t,e,r){\"use strict\";function n(t,e,r){if(this.id=t,this.dispatcher=r,a.extend(this,a.pick(e,[\"url\",\"scheme\",\"tileSize\"])),this._options=a.extend({type:\"vector\"},e),512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");o(e,function(t,e){if(t)return void this.fire(\"error\",t);a.extend(this,e),this.fire(\"load\")}.bind(this))}var i=t(\"../util/evented\"),a=t(\"../util/util\"),o=t(\"./load_tilejson\"),s=t(\"../util/mapbox\").normalizeTileURL;e.exports=n,n.prototype=a.inherit(i,{minzoom:0,maxzoom:22,scheme:\"xyz\",tileSize:512,reparseOverscaled:!0,isTileClipped:!0,onAdd:function(t){this.map=t},serialize:function(){return a.extend({},this._options)},loadTile:function(t,e){function r(r,n){if(!t.aborted){if(r)return e(r);t.loadVectorData(n,this.map.style),t.redoWhenDone&&(t.redoWhenDone=!1,t.redoPlacement(this)),e(null),t.reloadCallback&&(this.loadTile(t,t.reloadCallback),t.reloadCallback=null)}}var n=t.coord.z>this.maxzoom?Math.pow(2,t.coord.z-this.maxzoom):1,i={url:s(t.coord.url(this.tiles,this.maxzoom,this.scheme),this.url),uid:t.uid,coord:t.coord,zoom:t.coord.z,tileSize:this.tileSize*n,source:this.id,overscaling:n,angle:this.map.transform.angle,pitch:this.map.transform.pitch,showCollisionBoxes:this.map.showCollisionBoxes};t.workerID?\"loading\"===t.state?t.reloadCallback=e:(i.rawTileData=t.rawTileData,this.dispatcher.send(\"reload tile\",i,r.bind(this),t.workerID)):t.workerID=this.dispatcher.send(\"load tile\",i,r.bind(this))},abortTile:function(t){this.dispatcher.send(\"abort tile\",{uid:t.uid,source:this.id},null,t.workerID)},unloadTile:function(t){t.unloadVectorData(this.map.painter),this.dispatcher.send(\"remove tile\",{uid:t.uid,source:this.id},null,t.workerID)}})},{\"../util/evented\":416,\"../util/mapbox\":421,\"../util/util\":424,\"./load_tilejson\":344}],353:[function(t,e,r){\"use strict\";function n(t,e,r){this.actor=t,this.styleLayers=e,r&&(this.loadVectorData=r),this.loading={},this.loaded={}}var i=t(\"../util/ajax\"),a=t(\"vector-tile\"),o=t(\"pbf\"),s=t(\"./worker_tile\");e.exports=n,n.prototype={loadTile:function(t,e){function r(t,r){return delete this.loading[n][i],t?e(t):r?(a.data=r.tile,a.parse(a.data,this.styleLayers.getLayerFamilies(),this.actor,r.rawTileData,e),this.loaded[n]=this.loaded[n]||{},void(this.loaded[n][i]=a)):e(null,null)}var n=t.source,i=t.uid;this.loading[n]||(this.loading[n]={});var a=this.loading[n][i]=new s(t);a.abort=this.loadVectorData(t,r.bind(this))},reloadTile:function(t,e){var r=this.loaded[t.source],n=t.uid;if(r&&r[n]){var i=r[n];i.parse(i.data,this.styleLayers.getLayerFamilies(),this.actor,t.rawTileData,e)}},abortTile:function(t){var e=this.loading[t.source],r=t.uid;e&&e[r]&&e[r].abort&&(e[r].abort(),delete e[r])},removeTile:function(t){var e=this.loaded[t.source],r=t.uid;e&&e[r]&&delete e[r]},loadVectorData:function(t,e){function r(t,r){if(t)return e(t);var n=new a.VectorTile(new o(new Uint8Array(r)));e(t,{tile:n,rawTileData:r})}var n=i.getArrayBuffer(t.url,r.bind(this));return function(){n.abort()}},redoPlacement:function(t,e){var r=this.loaded[t.source],n=this.loading[t.source],i=t.uid;if(r&&r[i]){var a=r[i],o=a.redoPlacement(t.angle,t.pitch,t.showCollisionBoxes);o.result&&e(null,o.result,o.transferables)}else n&&n[i]&&(n[i].angle=t.angle)}}},{\"../util/ajax\":407,\"./worker_tile\":356,pbf:459,\"vector-tile\":530}],354:[function(t,e,r){\"use strict\";function n(t,e){this.id=t,this.urls=e.urls,this.coordinates=e.coordinates,u.getVideo(e.urls,function(t,r){if(t)return this.fire(\"error\",{error:t});this.video=r,this.video.loop=!0;var n;this.video.addEventListener(\"playing\",function(){n=this.map.style.animationLoop.set(1/0),this.map._rerender()}.bind(this)),this.video.addEventListener(\"pause\",function(){this.map.style.animationLoop.cancel(n)}.bind(this)),this.map&&(this.video.play(),this.setCoordinates(e.coordinates)),this.fire(\"load\")}.bind(this))}var i=t(\"../util/util\"),a=t(\"./tile_coord\"),o=t(\"../geo/lng_lat\"),s=t(\"point-geometry\"),l=t(\"../util/evented\"),u=t(\"../util/ajax\"),c=t(\"../data/bucket\").EXTENT,h=t(\"../render/draw_raster\").RasterBoundsArray,f=t(\"../data/buffer\"),d=t(\"../render/vertex_array_object\");e.exports=n,n.prototype=i.inherit(l,{minzoom:0,maxzoom:22,tileSize:512,roundZoom:!0,getVideo:function(){return this.video},onAdd:function(t){this.map||(this.map=t,this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},setCoordinates:function(t){this.coordinates=t;var e=this.map,r=t.map(function(t){return e.transform.locationCoordinate(o.convert(t)).zoomTo(0)}),n=this.centerCoord=i.getCoordinatesCenter(r);return n.column=Math.round(n.column),n.row=Math.round(n.row),this.minzoom=this.maxzoom=n.zoom,this._coord=new a(n.zoom,n.column,n.row),this._tileCoords=r.map(function(t){var e=t.zoomTo(n.zoom);return new s(Math.round((e.column-n.column)*c),Math.round((e.row-n.row)*c))}),this.fire(\"change\"),this},_setTile:function(t){this._prepared=!1,this.tile=t;var e=new h;e.emplaceBack(this._tileCoords[0].x,this._tileCoords[0].y,0,0),e.emplaceBack(this._tileCoords[1].x,this._tileCoords[1].y,32767,0),e.emplaceBack(this._tileCoords[3].x,this._tileCoords[3].y,0,32767),e.emplaceBack(this._tileCoords[2].x,this._tileCoords[2].y,32767,32767),this.tile.buckets={},this.tile.boundsBuffer=new f(e.serialize(),h.serialize(),f.BufferType.VERTEX),this.tile.boundsVAO=new d,this.tile.state=\"loaded\"},prepare:function(){if(!(this.video.readyState<2)&&this.tile){var t=this.map.painter.gl;this._prepared?(t.bindTexture(t.TEXTURE_2D,this.tile.texture),t.texSubImage2D(t.TEXTURE_2D,0,0,0,t.RGBA,t.UNSIGNED_BYTE,this.video)):(this._prepared=!0,this.tile.texture=t.createTexture(),t.bindTexture(t.TEXTURE_2D,this.tile.texture),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.LINEAR),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.LINEAR),t.texImage2D(t.TEXTURE_2D,0,t.RGBA,t.RGBA,t.UNSIGNED_BYTE,this.video)),this._currentTime=this.video.currentTime}},loadTile:function(t,e){this._coord&&this._coord.toString()===t.coord.toString()?(this._setTile(t),e(null)):(t.state=\"errored\",e(null))},serialize:function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}}})},{\"../data/bucket\":311,\"../data/buffer\":316,\"../geo/lng_lat\":321,\"../render/draw_raster\":333,\"../render/vertex_array_object\":339,\"../util/ajax\":407,\"../util/evented\":416,\"../util/util\":424,\"./tile_coord\":351,\"point-geometry\":465}],355:[function(t,e,r){\"use strict\";function n(t){this.self=t,this.actor=new a(t,this);var e={getLayers:function(){return this.layers}.bind(this),getLayerFamilies:function(){return this.layerFamilies}.bind(this)};this.workerSources={vector:new l(this.actor,e),geojson:new u(this.actor,e)},this.self.registerWorkerSource=function(t,r){if(this.workerSources[t])throw new Error('Worker source with name \"'+t+'\" already registered.');this.workerSources[t]=new r(this.actor,e)}.bind(this)}function i(t){var e={};for(var r in t){var n=t[r],i=n.ref||n.id,a=t[i];a.layout&&\"none\"===a.layout.visibility||(e[i]=e[i]||[],r===i?e[i].unshift(n):e[i].push(n))}return e}var a=t(\"../util/actor\"),o=t(\"../style/style_layer\"),s=t(\"../util/util\"),l=t(\"./vector_tile_worker_source\"),u=t(\"./geojson_worker_source\");e.exports=function(t){return new n(t)},s.extend(n.prototype,{\"set layers\":function(t){function e(t){var e=o.create(t,t.ref&&r.layers[t.ref]);e.updatePaintTransitions({},{transition:!1}),r.layers[e.id]=e}this.layers={};for(var r=this,n=[],a=0;a<t.length;a++){var s=t[a];\"fill\"!==s.type&&\"line\"!==s.type&&\"circle\"!==s.type&&\"symbol\"!==s.type||(s.ref?n.push(a):e(s))}for(var l=0;l<n.length;l++)e(t[n[l]]);this.layerFamilies=i(this.layers)},\"update layers\":function(t){function e(t){var e=a.layers[t.ref];a.layers[t.id]?a.layers[t.id].set(t,e):a.layers[t.id]=o.create(t,e),a.layers[t.id].updatePaintTransitions({},{transition:!1})}var r,n,a=this;for(r in t)n=t[r],n.ref&&e(n);for(r in t)n=t[r],n.ref||e(n);this.layerFamilies=i(this.layers)},\"load tile\":function(t,e){var r=t.type||\"vector\";this.workerSources[r].loadTile(t,e)},\"reload tile\":function(t,e){var r=t.type||\"vector\";this.workerSources[r].reloadTile(t,e)},\"abort tile\":function(t){var e=t.type||\"vector\";this.workerSources[e].abortTile(t)},\"remove tile\":function(t){var e=t.type||\"vector\";this.workerSources[e].removeTile(t)},\"redo placement\":function(t,e){var r=t.type||\"vector\";this.workerSources[r].redoPlacement(t,e)},\"load worker source\":function(t,e){try{this.self.importScripts(t.url),e()}catch(t){e(t)}}})},{\"../style/style_layer\":363,\"../util/actor\":406,\"../util/util\":424,\"./geojson_worker_source\":341,\"./vector_tile_worker_source\":353}],356:[function(t,e,r){\"use strict\";function n(t){this.coord=t.coord,this.uid=t.uid,this.zoom=t.zoom,this.tileSize=t.tileSize,this.source=t.source,this.overscaling=t.overscaling,this.angle=t.angle,this.pitch=t.pitch,this.showCollisionBoxes=t.showCollisionBoxes}function i(t){return!t.isEmpty()}function a(t){return t.serialize()}function o(t){var e=[];for(var r in t)t[r].getTransferables(e);return e}function s(t){return t.id}var l=t(\"../data/feature_index\"),u=t(\"../symbol/collision_tile\"),c=t(\"../data/bucket\"),h=t(\"../symbol/collision_box\"),f=t(\"../util/dictionary_coder\"),d=t(\"../util/util\"),p=t(\"../symbol/symbol_instances\"),m=t(\"../symbol/symbol_quads\");e.exports=n,n.prototype.parse=function(t,e,r,n,g){function v(t,e){for(var r=0;r<t.length;r++){var n=t.feature(r);n.index=r;for(var i in e)e[i].filter(n)&&e[i].features.push(n)}}function y(t){if(t)return g(t);if(2===++N){for(var e=P.length-1;e>=0;e--)b(E,P[e]);x()}}function b(t,e){if(e.populateArrays(A,F,R),\"symbol\"!==e.type)for(var r=0;r<e.features.length;r++){var n=e.features[r]\n",
       ";T.insert(n,n.index,e.sourceLayerIndex,e.index)}e.features=null}function x(){E.status=\"done\",E.redoPlacementAfterDone&&(E.redoPlacement(E.angle,E.pitch,null),E.redoPlacementAfterDone=!1);var t=T.serialize(),e=A.serialize(),r=E.collisionBoxArray.serialize(),s=E.symbolInstancesArray.serialize(),l=E.symbolQuadsArray.serialize(),u=[n].concat(t.transferables).concat(e.transferables),c=I.filter(i);g(null,{buckets:c.map(a),featureIndex:t.data,collisionTile:e.data,collisionBoxArray:r,symbolInstancesArray:s,symbolQuadsArray:l,rawTileData:n},o(c).concat(u))}this.status=\"parsing\",this.data=t,this.collisionBoxArray=new h,this.symbolInstancesArray=new p,this.symbolQuadsArray=new m;var _,w,M,k,A=new u(this.angle,this.pitch,this.collisionBoxArray),T=new l(this.coord,this.overscaling,A,t.layers),S=new f(t.layers?Object.keys(t.layers).sort():[\"_geojsonTileLayer\"]),E=this,L={},C={},z=0;for(var D in e)w=e[D][0],w.source===this.source&&(w.ref||w.minzoom&&this.zoom<w.minzoom||w.maxzoom&&this.zoom>=w.maxzoom||w.layout&&\"none\"===w.layout.visibility||t.layers&&!t.layers[w.sourceLayer]||(k=c.create({layer:w,index:z++,childLayers:e[D],zoom:this.zoom,overscaling:this.overscaling,showCollisionBoxes:this.showCollisionBoxes,collisionBoxArray:this.collisionBoxArray,symbolQuadsArray:this.symbolQuadsArray,symbolInstancesArray:this.symbolInstancesArray,sourceLayerIndex:S.encode(w.sourceLayer||\"_geojsonTileLayer\")}),k.createFilter(),L[w.id]=k,t.layers&&(M=w.sourceLayer,C[M]=C[M]||{},C[M][w.id]=k)));if(t.layers)for(M in C)1===w.version&&d.warnOnce('Vector tile source \"'+this.source+'\" layer \"'+M+'\" does not use vector tile spec v2 and therefore may have some rendering errors.'),(w=t.layers[M])&&v(w,C[M]);else v(t,L);var I=[],P=this.symbolBuckets=[],O=[];T.bucketLayerIDs={};for(var j in L)k=L[j],0!==k.features.length&&(T.bucketLayerIDs[k.index]=k.childLayers.map(s),I.push(k),\"symbol\"===k.type?P.push(k):O.push(k));var R={},F={},N=0;if(P.length>0){for(_=P.length-1;_>=0;_--)P[_].updateIcons(R),P[_].updateFont(F);for(var B in F)F[B]=Object.keys(F[B]).map(Number);R=Object.keys(R),r.send(\"get glyphs\",{uid:this.uid,stacks:F},function(t,e){F=e,y(t)}),R.length?r.send(\"get icons\",{icons:R},function(t,e){R=e,y(t)}):y()}for(_=O.length-1;_>=0;_--)b(this,O[_]);if(0===P.length)return x()},n.prototype.redoPlacement=function(t,e,r){if(\"done\"!==this.status)return this.redoPlacementAfterDone=!0,this.angle=t,{};for(var n=new u(t,e,this.collisionBoxArray),s=this.symbolBuckets,l=s.length-1;l>=0;l--)s[l].placeFeatures(n,r);var c=n.serialize(),h=s.filter(i);return{result:{buckets:h.map(a),collisionTile:c.data},transferables:o(h).concat(c.transferables)}}},{\"../data/bucket\":311,\"../data/feature_index\":318,\"../symbol/collision_box\":376,\"../symbol/collision_tile\":378,\"../symbol/symbol_instances\":387,\"../symbol/symbol_quads\":388,\"../util/dictionary_coder\":414,\"../util/util\":424}],357:[function(t,e,r){\"use strict\";function n(){this.n=0,this.times=[]}e.exports=n,n.prototype.stopped=function(){return this.times=this.times.filter(function(t){return t.time>=(new Date).getTime()}),!this.times.length},n.prototype.set=function(t){return this.times.push({id:this.n,time:t+(new Date).getTime()}),this.n++},n.prototype.cancel=function(t){this.times=this.times.filter(function(e){return e.id!==t})}},{}],358:[function(t,e,r){\"use strict\";function n(t){this.base=t,this.retina=s.devicePixelRatio>1;var e=this.retina?\"@2x\":\"\";o.getJSON(l(t,e,\".json\"),function(t,e){if(t)return void this.fire(\"error\",{error:t});this.data=e,this.img&&this.fire(\"load\")}.bind(this)),o.getImage(l(t,e,\".png\"),function(t,e){if(t)return void this.fire(\"error\",{error:t});for(var r=e.getData(),n=e.data=new Uint8Array(r.length),i=0;i<r.length;i+=4){var a=r[i+3]/255;n[i+0]=r[i+0]*a,n[i+1]=r[i+1]*a,n[i+2]=r[i+2]*a,n[i+3]=r[i+3]}this.img=e,this.data&&this.fire(\"load\")}.bind(this))}function i(){}var a=t(\"../util/evented\"),o=t(\"../util/ajax\"),s=t(\"../util/browser\"),l=t(\"../util/mapbox\").normalizeSpriteURL;e.exports=n,n.prototype=Object.create(a),n.prototype.toJSON=function(){return this.base},n.prototype.loaded=function(){return!(!this.data||!this.img)},n.prototype.resize=function(){if(s.devicePixelRatio>1!==this.retina){var t=new n(this.base);t.on(\"load\",function(){this.img=t.img,this.data=t.data,this.retina=t.retina}.bind(this))}},i.prototype={x:0,y:0,width:0,height:0,pixelRatio:1,sdf:!1},n.prototype.getSpritePosition=function(t){if(!this.loaded())return new i;var e=this.data&&this.data[t];return e&&this.img?e:new i}},{\"../util/ajax\":407,\"../util/browser\":408,\"../util/evented\":416,\"../util/mapbox\":421}],359:[function(t,e,r){\"use strict\";var n=t(\"csscolorparser\").parseCSSColor,i=t(\"../util/util\"),a=t(\"./style_function\"),o={};e.exports=function t(e){if(a.isFunctionDefinition(e))return i.extend({},e,{stops:e.stops.map(function(e){return[e[0],t(e[1])]})});if(\"string\"==typeof e){if(!o[e]){var r=n(e);if(!r)throw new Error(\"Invalid color \"+e);o[e]=[r[0]/255*r[3],r[1]/255*r[3],r[2]/255*r[3],r[3]]}return o[e]}throw new Error(\"Invalid color \"+e)}},{\"../util/util\":424,\"./style_function\":362,csscolorparser:101}],360:[function(t,e,r){\"use strict\";function n(t,e,r){this.animationLoop=e||new m,this.dispatcher=new p(r||1,this),this.spriteAtlas=new l(1024,1024),this.lineAtlas=new u(256,512),this._layers={},this._order=[],this._groups=[],this.sources={},this.zoomHistory={},c.bindAll([\"_forwardSourceEvent\",\"_forwardTileEvent\",\"_forwardLayerEvent\",\"_redoPlacement\"],this),this._resetUpdates();var n=function(t,e){if(t)return void this.fire(\"error\",{error:t});if(!g.emitErrors(this,g(e))){this._loaded=!0,this.stylesheet=e,this.updateClasses();var r=e.sources;for(var n in r)this.addSource(n,r[n]);e.sprite&&(this.sprite=new o(e.sprite),this.sprite.on(\"load\",this.fire.bind(this,\"change\"))),this.glyphSource=new s(e.glyphs),this._resolve(),this.fire(\"load\")}}.bind(this);\"string\"==typeof t?h.getJSON(f(t),n):d.frame(n.bind(this,null,t)),this.on(\"source.load\",function(t){var e=t.source;if(e&&e.vectorLayerIds)for(var r in this._layers){var n=this._layers[r];n.source===e.id&&this._validateLayer(n)}})}var i=t(\"../util/evented\"),a=t(\"./style_layer\"),o=t(\"./image_sprite\"),s=t(\"../symbol/glyph_source\"),l=t(\"../symbol/sprite_atlas\"),u=t(\"../render/line_atlas\"),c=t(\"../util/util\"),h=t(\"../util/ajax\"),f=t(\"../util/mapbox\").normalizeStyleURL,d=t(\"../util/browser\"),p=t(\"../util/dispatcher\"),m=t(\"./animation_loop\"),g=t(\"./validate_style\"),v=t(\"../source/source\"),y=t(\"../source/query_features\"),b=t(\"../source/source_cache\"),x=t(\"./style_spec\"),_=t(\"./style_function\");e.exports=n,n.prototype=c.inherit(i,{_loaded:!1,_validateLayer:function(t){var e=this.sources[t.source];t.sourceLayer&&e&&e.vectorLayerIds&&e.vectorLayerIds.indexOf(t.sourceLayer)===-1&&this.fire(\"error\",{error:new Error('Source layer \"'+t.sourceLayer+'\" does not exist on source \"'+e.id+'\" as specified by style layer \"'+t.id+'\"')})},loaded:function(){if(!this._loaded)return!1;if(Object.keys(this._updates.sources).length)return!1;for(var t in this.sources)if(!this.sources[t].loaded())return!1;return!(this.sprite&&!this.sprite.loaded())},_resolve:function(){var t,e;this._layers={},this._order=this.stylesheet.layers.map(function(t){return t.id});for(var r=0;r<this.stylesheet.layers.length;r++)e=this.stylesheet.layers[r],e.ref||(t=a.create(e),this._layers[t.id]=t,t.on(\"error\",this._forwardLayerEvent));for(var n=0;n<this.stylesheet.layers.length;n++)if(e=this.stylesheet.layers[n],e.ref){var i=this.getLayer(e.ref);t=a.create(e,i),this._layers[t.id]=t,t.on(\"error\",this._forwardLayerEvent)}this._groupLayers(),this._updateWorkerLayers()},_groupLayers:function(){var t;this._groups=[];for(var e=0;e<this._order.length;++e){var r=this._layers[this._order[e]];t&&r.source===t.source||(t=[],t.source=r.source,this._groups.push(t)),t.push(r)}},_updateWorkerLayers:function(t){this.dispatcher.broadcast(t?\"update layers\":\"set layers\",this._serializeLayers(t))},_serializeLayers:function(t){t=t||this._order;for(var e=[],r={includeRefProperties:!0},n=0;n<t.length;n++)e.push(this._layers[t[n]].serialize(r));return e},_applyClasses:function(t,e){if(this._loaded){t=t||[],e=e||{transition:!0};var r=this.stylesheet.transition||{},n=this._updates.allPaintProps?this._layers:this._updates.paintProps;for(var i in n){var a=this._layers[i],o=this._updates.paintProps[i];if(this._updates.allPaintProps||o.all)a.updatePaintTransitions(t,e,r,this.animationLoop);else for(var s in o)this._layers[i].updatePaintTransition(s,t,e,r,this.animationLoop)}}},_recalculate:function(t){for(var e in this.sources)this.sources[e].used=!1;this._updateZoomHistory(t),this.rasterFadeDuration=300;for(var r in this._layers){var n=this._layers[r];n.recalculate(t,this.zoomHistory),!n.isHidden(t)&&n.source&&(this.sources[n.source].used=!0)}Math.floor(this.z)!==Math.floor(t)&&this.animationLoop.set(300),this.z=t,this.fire(\"zoom\")},_updateZoomHistory:function(t){var e=this.zoomHistory;void 0===e.lastIntegerZoom&&(e.lastIntegerZoom=Math.floor(t),e.lastIntegerZoomTime=0,e.lastZoom=t),Math.floor(e.lastZoom)<Math.floor(t)?(e.lastIntegerZoom=Math.floor(t),e.lastIntegerZoomTime=Date.now()):Math.floor(e.lastZoom)>Math.floor(t)&&(e.lastIntegerZoom=Math.floor(t+1),e.lastIntegerZoomTime=Date.now()),e.lastZoom=t},_checkLoaded:function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},update:function(t,e){if(!this._updates.changed)return this;if(this._updates.allLayers)this._groupLayers(),this._updateWorkerLayers();else{var r=Object.keys(this._updates.layers);r.length&&this._updateWorkerLayers(r)}var n,i=Object.keys(this._updates.sources);for(n=0;n<i.length;n++)this._reloadSource(i[n]);for(n=0;n<this._updates.events.length;n++){var a=this._updates.events[n];this.fire(a[0],a[1])}return this._applyClasses(t,e),this._updates.changed&&this.fire(\"change\"),this._resetUpdates(),this},_resetUpdates:function(){this._updates={events:[],layers:{},sources:{},paintProps:{}}},addSource:function(t,e){if(this._checkLoaded(),void 0!==this.sources[t])throw new Error(\"There is already a source with this ID\");if(!e.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(e)+\".\");return[\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(e.type)>=0&&this._handleErrors(g.source,\"sources.\"+t,e)?this:(e=new b(t,e,this.dispatcher),this.sources[t]=e,e.style=this,e.on(\"load\",this._forwardSourceEvent).on(\"error\",this._forwardSourceEvent).on(\"change\",this._forwardSourceEvent).on(\"tile.add\",this._forwardTileEvent).on(\"tile.load\",this._forwardTileEvent).on(\"tile.error\",this._forwardTileEvent).on(\"tile.remove\",this._forwardTileEvent).on(\"tile.stats\",this._forwardTileEvent),this._updates.events.push([\"source.add\",{source:e}]),this._updates.changed=!0,this)},removeSource:function(t){if(this._checkLoaded(),void 0===this.sources[t])throw new Error(\"There is no source with this ID\");var e=this.sources[t];return delete this.sources[t],delete this._updates.sources[t],e.off(\"load\",this._forwardSourceEvent).off(\"error\",this._forwardSourceEvent).off(\"change\",this._forwardSourceEvent).off(\"tile.add\",this._forwardTileEvent).off(\"tile.load\",this._forwardTileEvent).off(\"tile.error\",this._forwardTileEvent).off(\"tile.remove\",this._forwardTileEvent).off(\"tile.stats\",this._forwardTileEvent),this._updates.events.push([\"source.remove\",{source:e}]),this._updates.changed=!0,this},getSource:function(t){return this.sources[t]&&this.sources[t].getSource()},addLayer:function(t,e){if(this._checkLoaded(),!(t instanceof a)){if(this._handleErrors(g.layer,\"layers.\"+t.id,t,!1,{arrayIndex:-1}))return this;var r=t.ref&&this.getLayer(t.ref);t=a.create(t,r)}return this._validateLayer(t),t.on(\"error\",this._forwardLayerEvent),this._layers[t.id]=t,this._order.splice(e?this._order.indexOf(e):1/0,0,t.id),this._updates.allLayers=!0,t.source&&(this._updates.sources[t.source]=!0),this._updates.events.push([\"layer.add\",{layer:t}]),this.updateClasses(t.id)},removeLayer:function(t){this._checkLoaded();var e=this._layers[t];if(void 0===e)throw new Error(\"There is no layer with this ID\");for(var r in this._layers)this._layers[r].ref===t&&this.removeLayer(r);return e.off(\"error\",this._forwardLayerEvent),delete this._layers[t],delete this._updates.layers[t],delete this._updates.paintProps[t],this._order.splice(this._order.indexOf(t),1),this._updates.allLayers=!0,this._updates.events.push([\"layer.remove\",{layer:e}]),this._updates.changed=!0,this},getLayer:function(t){return this._layers[t]},getReferentLayer:function(t){var e=this.getLayer(t);return e.ref&&(e=this.getLayer(e.ref)),e},setLayerZoomRange:function(t,e,r){this._checkLoaded();var n=this.getReferentLayer(t);return n.minzoom===e&&n.maxzoom===r?this:(null!=e&&(n.minzoom=e),null!=r&&(n.maxzoom=r),this._updateLayer(n))},setFilter:function(t,e){this._checkLoaded();var r=this.getReferentLayer(t);return null!==e&&this._handleErrors(g.filter,\"layers.\"+r.id+\".filter\",e)?this:c.deepEqual(r.filter,e)?this:(r.filter=c.clone(e),this._updateLayer(r))},getFilter:function(t){return this.getReferentLayer(t).filter},setLayoutProperty:function(t,e,r){this._checkLoaded();var n=this.getReferentLayer(t);return c.deepEqual(n.getLayoutProperty(e),r)?this:(n.setLayoutProperty(e,r),this._updateLayer(n))},getLayoutProperty:function(t,e){return this.getReferentLayer(t).getLayoutProperty(e)},setPaintProperty:function(t,e,r,n){this._checkLoaded();var i=this.getLayer(t);if(c.deepEqual(i.getPaintProperty(e,n),r))return this;var a=i.isPaintValueFeatureConstant(e);return i.setPaintProperty(e,r,n),!(r&&_.isFunctionDefinition(r)&&\"$zoom\"!==r.property&&void 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a=t(\"./style_function\"),o=t(\"./parse_color\"),s=t(\"../util/util\");e.exports=n},{\"../util/util\":424,\"./parse_color\":359,\"./style_function\":362}],362:[function(t,e,r){\"use strict\";var n=t(\"mapbox-gl-function\");r.interpolated=function(t){var e=n.interpolated(t),r=function(t,r){return e(t&&t.zoom,r||{})};return r.isFeatureConstant=e.isFeatureConstant,r.isZoomConstant=e.isZoomConstant,r},r[\"piecewise-constant\"]=function(t){var e=n[\"piecewise-constant\"](t),r=function(t,r){return e(t&&t.zoom,r||{})};return r.isFeatureConstant=e.isFeatureConstant,r.isZoomConstant=e.isZoomConstant,r},r.isFunctionDefinition=n.isFunctionDefinition},{\"mapbox-gl-function\":284}],363:[function(t,e,r){\"use strict\";function n(t,e){this.set(t,e)}function i(t){return t.value}var a=t(\"../util/util\"),o=t(\"./style_transition\"),s=t(\"./style_declaration\"),l=t(\"./style_spec\"),u=t(\"./validate_style\"),c=t(\"./parse_color\"),h=t(\"../util/evented\");e.exports=n;n.create=function(e,r){return 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n=\"layers.\"+this.id+(r?'[\"paint.'+r+'\"].':\".paint.\")+t;if(a.endsWith(t,\"-transition\"))if(this._paintTransitionOptions[r||\"\"]||(this._paintTransitionOptions[r||\"\"]={}),null===e||void 0===e)delete this._paintTransitionOptions[r||\"\"][t];else{if(this._handleErrors(u.paintProperty,n,t,e))return;this._paintTransitionOptions[r||\"\"][t]=e}else if(this._paintDeclarations[r||\"\"]||(this._paintDeclarations[r||\"\"]={}),null===e||void 0===e)delete this._paintDeclarations[r||\"\"][t];else{if(this._handleErrors(u.paintProperty,n,t,e))return;this._paintDeclarations[r||\"\"][t]=new s(this._paintSpecifications[t],e)}},getPaintProperty:function(t,e){return e=e||\"\",a.endsWith(t,\"-transition\")?this._paintTransitionOptions[e]&&this._paintTransitionOptions[e][t]:this._paintDeclarations[e]&&this._paintDeclarations[e][t]&&this._paintDeclarations[e][t].value},getPaintValue:function(t,e,r){var n=this._paintSpecifications[t],i=this._paintTransitions[t];return 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0===this.getPaintProperty(\"fill-outline-color\")?a.prototype.getPaintInterpolationT.call(this,\"fill-color\",e):a.prototype.getPaintInterpolationT.call(this,t,e)},isPaintValueFeatureConstant:function(t){return\"fill-outline-color\"===t&&void 0===this.getPaintProperty(\"fill-outline-color\")?a.prototype.isPaintValueFeatureConstant.call(this,\"fill-color\"):a.prototype.isPaintValueFeatureConstant.call(this,t)},isPaintValueZoomConstant:function(t){return\"fill-outline-color\"===t&&void 0===this.getPaintProperty(\"fill-outline-color\")?a.prototype.isPaintValueZoomConstant.call(this,\"fill-color\"):a.prototype.isPaintValueZoomConstant.call(this,t)}}),e.exports=n},{\"../../util/util\":424,\"../style_layer\":363}],367:[function(t,e,r){\"use strict\";function n(){a.apply(this,arguments)}var i=t(\"../../util/util\"),a=t(\"../style_layer\");e.exports=n,n.prototype=i.inherit(a,{getPaintValue:function(t,e,r){var n=a.prototype.getPaintValue.apply(this,arguments);if(n&&\"line-dasharray\"===t){var i=Math.floor(e.zoom);this._flooredZoom!==i&&(this._flooredZoom=i,this._flooredLineWidth=this.getPaintValue(\"line-width\",e,r)),n.fromScale*=this._flooredLineWidth,n.toScale*=this._flooredLineWidth}return n}})},{\"../../util/util\":424,\"../style_layer\":363}],368:[function(t,e,r){\"use strict\";function n(){a.apply(this,arguments)}var i=t(\"../../util/util\"),a=t(\"../style_layer\");e.exports=n,n.prototype=i.inherit(a,{})},{\"../../util/util\":424,\"../style_layer\":363}],369:[function(t,e,r){\"use strict\";function n(){a.apply(this,arguments)}var i=t(\"../../util/util\"),a=t(\"../style_layer\");e.exports=n,n.prototype=i.inherit(a,{isHidden:function(){if(a.prototype.isHidden.apply(this,arguments))return!0;var t=0===this.paint[\"text-opacity\"]||!this.layout[\"text-field\"],e=0===this.paint[\"icon-opacity\"]||!this.layout[\"icon-image\"];return!(!t||!e)},getLayoutValue:function(t,e,r){return(\"text-rotation-alignment\"!==t||\"line\"!==this.getLayoutValue(\"symbol-placement\",e,r)||this.getLayoutProperty(\"text-rotation-alignment\"))&&(\"icon-rotation-alignment\"!==t||\"line\"!==this.getLayoutValue(\"symbol-placement\",e,r)||this.getLayoutProperty(\"icon-rotation-alignment\"))?\"text-pitch-alignment\"!==t||this.getLayoutProperty(\"text-pitch-alignment\")?a.prototype.getLayoutValue.apply(this,arguments):this.getLayoutValue(\"text-rotation-alignment\"):\"map\"}})},{\"../../util/util\":424,\"../style_layer\":363}],370:[function(t,e,r){\"use strict\";e.exports=t(\"mapbox-gl-style-spec/reference/latest.min\")},{\"mapbox-gl-style-spec/reference/latest.min\":307}],371:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.declaration=e,this.startTime=this.endTime=(new 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r}},{\"../util/interpolate\":418,\"../util/util\":424}],372:[function(t,e,r){\"use strict\";e.exports=t(\"mapbox-gl-style-spec/lib/validate_style.min\"),e.exports.emitErrors=function(t,e){if(e&&e.length){for(var r=0;r<e.length;r++)t.fire(\"error\",{error:new Error(e[r].message)});return!0}return!1},e.exports.throwErrors=function(t,e){if(e)for(var r=0;r<e.length;r++)throw new Error(e[r].message)}},{\"mapbox-gl-style-spec/lib/validate_style.min\":306}],373:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.x=t,this.y=e,this.angle=r,void 0!==n&&(this.segment=n)}var i=t(\"point-geometry\");e.exports=n,n.prototype=Object.create(i.prototype),n.prototype.clone=function(){return new n(this.x,this.y,this.angle,this.segment)}},{\"point-geometry\":465}],374:[function(t,e,r){\"use strict\";function n(t,e,r,n,i){if(void 0===e.segment)return!0;for(var a=e,o=e.segment+1,s=0;s>-r/2;){if(--o<0)return!1;s-=t[o].dist(a),a=t[o]}s+=t[o].dist(t[o+1]),o++;for(var l=[],u=0;s<r/2;){var c=t[o-1],h=t[o],f=t[o+1];if(!f)return!1;var d=c.angleTo(h)-h.angleTo(f);for(d=Math.abs((d+3*Math.PI)%(2*Math.PI)-Math.PI),l.push({distance:s,angleDelta:d}),u+=d;s-l[0].distance>n;)u-=l.shift().angleDelta;if(u>i)return!1;o++,s+=h.dist(f)}return!0}e.exports=n},{}],375:[function(t,e,r){\"use strict\";function n(t,e,r,n,a){for(var o=[],s=0;s<t.length;s++)for(var l,u=t[s],c=0;c<u.length-1;c++){var h=u[c],f=u[c+1];h.x<e&&f.x<e||(h.x<e?h=new i(e,h.y+(f.y-h.y)*((e-h.x)/(f.x-h.x)))._round():f.x<e&&(f=new i(e,h.y+(f.y-h.y)*((e-h.x)/(f.x-h.x)))._round()),h.y<r&&f.y<r||(h.y<r?h=new i(h.x+(f.x-h.x)*((r-h.y)/(f.y-h.y)),r)._round():f.y<r&&(f=new i(h.x+(f.x-h.x)*((r-h.y)/(f.y-h.y)),r)._round()),h.x>=n&&f.x>=n||(h.x>=n?h=new i(n,h.y+(f.y-h.y)*((n-h.x)/(f.x-h.x)))._round():f.x>=n&&(f=new i(n,h.y+(f.y-h.y)*((n-h.x)/(f.x-h.x)))._round()),h.y>=a&&f.y>=a||(h.y>=a?h=new i(h.x+(f.x-h.x)*((a-h.y)/(f.y-h.y)),a)._round():f.y>=a&&(f=new i(h.x+(f.x-h.x)*((a-h.y)/(f.y-h.y)),a)._round()),l&&h.equals(l[l.length-1])||(l=[h],o.push(l)),l.push(f)))))}return o}var i=t(\"point-geometry\");e.exports=n},{\"point-geometry\":465}],376:[function(t,e,r){\n",
       "\"use strict\";var n=t(\"../util/struct_array\"),i=t(\"../util/util\"),a=t(\"point-geometry\"),o=e.exports=new n({members:[{type:\"Int16\",name:\"anchorPointX\"},{type:\"Int16\",name:\"anchorPointY\"},{type:\"Int16\",name:\"x1\"},{type:\"Int16\",name:\"y1\"},{type:\"Int16\",name:\"x2\"},{type:\"Int16\",name:\"y2\"},{type:\"Float32\",name:\"maxScale\"},{type:\"Uint32\",name:\"featureIndex\"},{type:\"Uint16\",name:\"sourceLayerIndex\"},{type:\"Uint16\",name:\"bucketIndex\"},{type:\"Int16\",name:\"bbox0\"},{type:\"Int16\",name:\"bbox1\"},{type:\"Int16\",name:\"bbox2\"},{type:\"Int16\",name:\"bbox3\"},{type:\"Float32\",name:\"placementScale\"}]});i.extendAll(o.prototype.StructType.prototype,{get anchorPoint(){return new a(this.anchorPointX,this.anchorPointY)}})},{\"../util/struct_array\":422,\"../util/util\":424,\"point-geometry\":465}],377:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s,l,u,c){var h=o.top*s-l,f=o.bottom*s+l,d=o.left*s-l,p=o.right*s+l;if(this.boxStartIndex=t.length,u){var m=f-h,g=p-d;if(m>0)if(m=Math.max(10*s,m),c){var v=e[r.segment+1].sub(e[r.segment])._unit()._mult(g),y=[r.sub(v),r.add(v)];this._addLineCollisionBoxes(t,y,r,0,g,m,n,i,a)}else this._addLineCollisionBoxes(t,e,r,r.segment,g,m,n,i,a)}else t.emplaceBack(r.x,r.y,d,h,p,f,1/0,n,i,a,0,0,0,0,0);this.boxEndIndex=t.length}e.exports=n,n.prototype._addLineCollisionBoxes=function(t,e,r,n,i,a,o,s,l){var u=a/2,c=Math.floor(i/u),h=-a/2,f=this.boxes,d=r,p=n+1,m=h;do{if(--p<0)return f;m-=e[p].dist(d),d=e[p]}while(m>-i/2);for(var g=e[p].dist(e[p+1]),v=0;v<c;v++){for(var y=-i/2+v*u;m+g<y;){if(m+=g,++p+1>=e.length)return f;g=e[p].dist(e[p+1])}var b=y-m,x=e[p],_=e[p+1],w=_.sub(x)._unit()._mult(b)._add(x)._round(),M=Math.max(Math.abs(y-h)-u/2,0),k=i/2/M;t.emplaceBack(w.x,w.y,-a/2,-a/2,a/2,a/2,k,o,s,l,0,0,0,0,0)}return f}},{}],378:[function(t,e,r){\"use strict\";function n(t,e,r){if(\"object\"==typeof t){var n=t;r=e,t=n.angle,e=n.pitch,this.grid=new o(n.grid),this.ignoredGrid=new o(n.ignoredGrid)}else this.grid=new o(a,12,6),this.ignoredGrid=new o(a,12,0);this.angle=t,this.pitch=e;var i=Math.sin(t),s=Math.cos(t);if(this.rotationMatrix=[s,-i,i,s],this.reverseRotationMatrix=[s,i,-i,s],this.yStretch=1/Math.cos(e/180*Math.PI),this.yStretch=Math.pow(this.yStretch,1.3),this.collisionBoxArray=r,0===r.length){r.emplaceBack();r.emplaceBack(0,0,0,-32767,0,32767,32767,0,0,0,0,0,0,0,0,0),r.emplaceBack(a,0,0,-32767,0,32767,32767,0,0,0,0,0,0,0,0,0),r.emplaceBack(0,0,-32767,0,32767,0,32767,0,0,0,0,0,0,0,0,0),r.emplaceBack(0,a,-32767,0,32767,0,32767,0,0,0,0,0,0,0,0,0)}this.tempCollisionBox=r.get(0),this.edges=[r.get(1),r.get(2),r.get(3),r.get(4)]}var i=t(\"point-geometry\"),a=t(\"../data/bucket\").EXTENT,o=t(\"grid-index\");e.exports=n,n.prototype.serialize=function(){var t={angle:this.angle,pitch:this.pitch,grid:this.grid.toArrayBuffer(),ignoredGrid:this.ignoredGrid.toArrayBuffer()};return{data:t,transferables:[t.grid,t.ignoredGrid]}},n.prototype.minScale=.25,n.prototype.maxScale=2,n.prototype.placeCollisionFeature=function(t,e,r){for(var n=this.collisionBoxArray,a=this.minScale,o=this.rotationMatrix,s=this.yStretch,l=t.boxStartIndex;l<t.boxEndIndex;l++){var u=n.get(l),c=u.anchorPoint._matMult(o),h=c.x,f=c.y,d=h+u.x1,p=f+u.y1*s,m=h+u.x2,g=f+u.y2*s;if(u.bbox0=d,u.bbox1=p,u.bbox2=m,u.bbox3=g,!e)for(var v=this.grid.query(d,p,m,g),y=0;y<v.length;y++){var b=n.get(v[y]),x=b.anchorPoint._matMult(o);if((a=this.getPlacementScale(a,c,u,x,b))>=this.maxScale)return a}if(r){var _;if(this.angle){var w=this.reverseRotationMatrix,M=new i(u.x1,u.y1).matMult(w),k=new i(u.x2,u.y1).matMult(w),A=new i(u.x1,u.y2).matMult(w),T=new i(u.x2,u.y2).matMult(w);_=this.tempCollisionBox,_.anchorPointX=u.anchorPoint.x,_.anchorPointY=u.anchorPoint.y,_.x1=Math.min(M.x,k.x,A.x,T.x),_.y1=Math.min(M.y,k.x,A.x,T.x),_.x2=Math.max(M.x,k.x,A.x,T.x),_.y2=Math.max(M.y,k.x,A.x,T.x),_.maxScale=u.maxScale}else _=u;for(var S=0;S<this.edges.length;S++){var E=this.edges[S];if((a=this.getPlacementScale(a,u.anchorPoint,_,E.anchorPoint,E))>=this.maxScale)return a}}}return a},n.prototype.queryRenderedSymbols=function(t,e,r,n,a){var o={},s=[],l=this.collisionBoxArray,u=this.rotationMatrix,c=new i(t,e)._matMult(u),h=this.tempCollisionBox;h.anchorX=c.x,h.anchorY=c.y,h.x1=0,h.y1=0,h.x2=r-t,h.y2=n-e,h.maxScale=a,a=h.maxScale;for(var f=[c.x+h.x1/a,c.y+h.y1/a*this.yStretch,c.x+h.x2/a,c.y+h.y2/a*this.yStretch],d=this.grid.query(f[0],f[1],f[2],f[3]),p=this.ignoredGrid.query(f[0],f[1],f[2],f[3]),m=0;m<p.length;m++)d.push(p[m]);for(var g=0;g<d.length;g++){var v=l.get(d[g]),y=v.sourceLayerIndex,b=v.featureIndex;if(void 0===o[y]&&(o[y]={}),!o[y][b]){var x=v.anchorPoint.matMult(u);this.getPlacementScale(this.minScale,c,h,x,v)>=a&&(o[y][b]=!0,s.push(d[g]))}}return s},n.prototype.getPlacementScale=function(t,e,r,n,i){var a=e.x-n.x,o=e.y-n.y,s=(i.x1-r.x2)/a,l=(i.x2-r.x1)/a,u=(i.y1-r.y2)*this.yStretch/o,c=(i.y2-r.y1)*this.yStretch/o;(isNaN(s)||isNaN(l))&&(s=l=1),(isNaN(u)||isNaN(c))&&(u=c=1);var h=Math.min(Math.max(s,l),Math.max(u,c)),f=i.maxScale,d=r.maxScale;return h>f&&(h=f),h>d&&(h=d),h>t&&h>=i.placementScale&&(t=h),t},n.prototype.insertCollisionFeature=function(t,e,r){for(var n=r?this.ignoredGrid:this.grid,i=this.collisionBoxArray,a=t.boxStartIndex;a<t.boxEndIndex;a++){var o=i.get(a);o.placementScale=e,e<this.maxScale&&n.insert(a,o.bbox0,o.bbox1,o.bbox2,o.bbox3)}}},{\"../data/bucket\":311,\"grid-index\":271,\"point-geometry\":465}],379:[function(t,e,r){\"use strict\";function n(t,e,r,n,a,o,s,l,u){var c=n?.6*o*s:0,h=Math.max(n?n.right-n.left:0,a?a.right-a.left:0),f=0===t[0].x||t[0].x===u||0===t[0].y||t[0].y===u;e-h*s<e/4&&(e=h*s+e/4);var d=2*o;return i(t,f?e/2*l%e:(h/2+d)*s*l%e,e,c,r,h*s,f,!1,u)}function i(t,e,r,n,l,u,c,h,f){for(var d=u/2,p=0,m=0;m<t.length-1;m++)p+=t[m].dist(t[m+1]);for(var g=0,v=e-r,y=[],b=0;b<t.length-1;b++){for(var x=t[b],_=t[b+1],w=x.dist(_),M=_.angleTo(x);v+r<g+w;){v+=r;var k=(v-g)/w,A=a(x.x,_.x,k),T=a(x.y,_.y,k);if(A>=0&&A<f&&T>=0&&T<f&&v-d>=0&&v+d<=p){var S=new o(A,T,M,b)._round();n&&!s(t,S,u,n,l)||y.push(S)}}g+=w}return h||y.length||c||(y=i(t,g/2,r,n,l,u,c,!0,f)),y}var a=t(\"../util/interpolate\"),o=t(\"../symbol/anchor\"),s=t(\"./check_max_angle\");e.exports=n},{\"../symbol/anchor\":373,\"../util/interpolate\":418,\"./check_max_angle\":374}],380:[function(t,e,r){\"use strict\";function n(){this.width=o,this.height=o,this.bin=new i(this.width,this.height),this.index={},this.ids={},this.data=new Uint8Array(this.width*this.height)}var i=t(\"shelf-pack\"),a=t(\"../util/util\"),o=128;e.exports=n,n.prototype.getGlyphs=function(){var t,e,r,n={};for(var i in this.ids)t=i.split(\"#\"),e=t[0],r=t[1],n[e]||(n[e]=[]),n[e].push(r);return n},n.prototype.getRects=function(){var t,e,r,n={};for(var i in this.ids)t=i.split(\"#\"),e=t[0],r=t[1],n[e]||(n[e]={}),n[e][r]=this.index[i];return n},n.prototype.addGlyph=function(t,e,r,n){if(!r)return null;var i=e+\"#\"+r.id;if(this.index[i])return this.ids[i].indexOf(t)<0&&this.ids[i].push(t),this.index[i];if(!r.bitmap)return null;var o=r.width+2*n,s=r.height+2*n,l=o+2,u=s+2;l+=4-l%4,u+=4-u%4;var c=this.bin.packOne(l,u);if(c||(this.resize(),c=this.bin.packOne(l,u)),!c)return a.warnOnce(\"glyph bitmap overflow\"),null;this.index[i]=c,this.ids[i]=[t];for(var h=this.data,f=r.bitmap,d=0;d<s;d++)for(var p=this.width*(c.y+d+1)+c.x+1,m=o*d,g=0;g<o;g++)h[p+g]=f[m+g];return this.dirty=!0,c},n.prototype.resize=function(){var t=this.width,e=this.height;if(!(t>=2048||e>=2048)){this.texture&&(this.gl&&this.gl.deleteTexture(this.texture),this.texture=null),this.width*=4,this.height*=4,this.bin.resize(this.width,this.height);for(var r=new ArrayBuffer(this.width*this.height),n=0;n<e;n++){var i=new Uint8Array(this.data.buffer,e*n,t);new Uint8Array(r,e*n*4,t).set(i)}this.data=new Uint8Array(r)}},n.prototype.bind=function(t){this.gl=t,this.texture?t.bindTexture(t.TEXTURE_2D,this.texture):(this.texture=t.createTexture(),t.bindTexture(t.TEXTURE_2D,this.texture),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.LINEAR),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.LINEAR),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),t.texImage2D(t.TEXTURE_2D,0,t.ALPHA,this.width,this.height,0,t.ALPHA,t.UNSIGNED_BYTE,null))},n.prototype.updateTexture=function(t){this.bind(t),this.dirty&&(t.texSubImage2D(t.TEXTURE_2D,0,0,0,this.width,this.height,t.ALPHA,t.UNSIGNED_BYTE,this.data),this.dirty=!1)}},{\"../util/util\":424,\"shelf-pack\":495}],381:[function(t,e,r){\"use strict\";function n(t){this.url=t&&o(t),this.atlases={},this.stacks={},this.loading={}}function i(t,e,r){this.advance=t.advance,this.left=t.left-r-1,this.top=t.top+r+1,this.rect=e}function a(t,e,r,n){return n=n||\"abc\",r.replace(\"{s}\",n[t.length%n.length]).replace(\"{fontstack}\",t).replace(\"{range}\",e)}var o=t(\"../util/mapbox\").normalizeGlyphsURL,s=t(\"../util/ajax\").getArrayBuffer,l=t(\"../util/glyphs\"),u=t(\"../symbol/glyph_atlas\"),c=t(\"pbf\");e.exports=n,n.prototype.getSimpleGlyphs=function(t,e,r,n){void 0===this.stacks[t]&&(this.stacks[t]={}),void 0===this.atlases[t]&&(this.atlases[t]=new u);for(var a,o={},s=this.stacks[t],l=this.atlases[t],c={},h=0,f=0;f<e.length;f++){var d=e[f];if(a=Math.floor(d/256),s[a]){var p=s[a].glyphs[d],m=l.addGlyph(r,t,p,3);p&&(o[d]=new i(p,m,3))}else void 0===c[a]&&(c[a]=[],h++),c[a].push(d)}h||n(void 0,o,t);var g=function(e,a,s){if(!e)for(var u=this.stacks[t][a]=s.stacks[0],f=0;f<c[a].length;f++){var d=c[a][f],p=u.glyphs[d],m=l.addGlyph(r,t,p,3);p&&(o[d]=new i(p,m,3))}--h||n(void 0,o,t)}.bind(this);for(var v in c)this.loadRange(t,v,g)},n.prototype.loadRange=function(t,e,r){if(256*e>65535)return r(\"glyphs > 65535 not supported\");void 0===this.loading[t]&&(this.loading[t]={});var n=this.loading[t];if(n[e])n[e].push(r);else{n[e]=[r];var i=256*e+\"-\"+(256*e+255),o=a(t,i,this.url);s(o,function(t,r){for(var i=!t&&new l(new c(new Uint8Array(r))),a=0;a<n[e].length;a++)n[e][a](t,e,i);delete n[e]})}},n.prototype.getGlyphAtlas=function(t){return this.atlases[t]}},{\"../symbol/glyph_atlas\":380,\"../util/ajax\":407,\"../util/glyphs\":417,\"../util/mapbox\":421,pbf:459}],382:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){function n(n){c.push(t[n]),h.push(r[n]),f.push(e[n]),d++}function i(t,e,r){var n=u[t];return delete u[t],u[e]=n,h[n][0].pop(),h[n][0]=h[n][0].concat(r[0]),n}function a(t,e,r){var n=l[e];return delete l[e],l[t]=n,h[n][0].shift(),h[n][0]=r[0].concat(h[n][0]),n}function o(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}var s,l={},u={},c=[],h=[],f=[],d=0;for(s=0;s<t.length;s++){var p=r[s],m=e[s];if(m){var g=o(m,p),v=o(m,p,!0);if(g in u&&v in l&&u[g]!==l[v]){var y=a(g,v,p),b=i(g,v,h[y]);delete l[g],delete u[v],u[o(m,h[b],!0)]=b,h[y]=null}else g in u?i(g,v,p):v in l?a(g,v,p):(n(s),l[g]=d-1,u[v]=d-1)}else n(s)}return{features:c,textFeatures:f,geometries:h}}},{}],383:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s,l,u){this.anchorPoint=t,this.tl=e,this.tr=r,this.bl=n,this.br=i,this.tex=a,this.anchorAngle=o,this.glyphAngle=s,this.minScale=l,this.maxScale=u}function i(t,e,r,i,a,o,u,c,h){var f,d,p,m,g=e.image.rect,v=a.layout,y=e.left-1,b=y+g.w/e.image.pixelRatio,x=e.top-1,_=x+g.h/e.image.pixelRatio;if(\"none\"!==v[\"icon-text-fit\"]&&u){var w=b-y,M=_-x,k=v[\"text-size\"]/24,A=u.left*k,T=u.right*k,S=u.top*k,E=u.bottom*k,L=T-A,C=E-S,z=v[\"icon-text-fit-padding\"][0],D=v[\"icon-text-fit-padding\"][1],I=v[\"icon-text-fit-padding\"][2],P=v[\"icon-text-fit-padding\"][3],O=\"width\"===v[\"icon-text-fit\"]?.5*(C-M):0,j=\"height\"===v[\"icon-text-fit\"]?.5*(L-w):0,R=\"width\"===v[\"icon-text-fit\"]||\"both\"===v[\"icon-text-fit\"]?L:w,F=\"height\"===v[\"icon-text-fit\"]||\"both\"===v[\"icon-text-fit\"]?C:M;f=new s(A+j-P,S+O-z),d=new s(A+j+D+R,S+O-z),p=new s(A+j+D+R,S+O+I+F),m=new s(A+j-P,S+O+I+F)}else f=new s(y,x),d=new s(b,x),p=new s(b,_),m=new s(y,_);var N=a.getLayoutValue(\"icon-rotate\",c,h)*Math.PI/180;if(o){var B=i[t.segment];if(t.y===B.y&&t.x===B.x&&t.segment+1<i.length){var U=i[t.segment+1];N+=Math.atan2(t.y-U.y,t.x-U.x)+Math.PI}else N+=Math.atan2(t.y-B.y,t.x-B.x)}if(N){var V=Math.sin(N),H=Math.cos(N),q=[H,-V,V,H];f=f.matMult(q),d=d.matMult(q),m=m.matMult(q),p=p.matMult(q)}return[new n(new s(t.x,t.y),f,d,m,p,e.image.rect,0,0,l,1/0)]}function a(t,e,r,i,a,u){for(var c=a.layout[\"text-rotate\"]*Math.PI/180,h=a.layout[\"text-keep-upright\"],f=e.positionedGlyphs,d=[],p=0;p<f.length;p++){var m=f[p],g=m.glyph,v=g.rect;if(v){var y,b=(m.x+g.advance/2)*r,x=l;u?(y=[],x=o(y,t,b,i,t.segment,!0),h&&(x=Math.min(x,o(y,t,b,i,t.segment,!1)))):y=[{anchorPoint:new s(t.x,t.y),offset:0,angle:0,maxScale:1/0,minScale:l}];for(var _=m.x+g.left,w=m.y-g.top,M=_+v.w,k=w+v.h,A=new s(_,w),T=new s(M,w),S=new s(_,k),E=new s(M,k),L=0;L<y.length;L++){var C=y[L],z=A,D=T,I=S,P=E;if(c){var O=Math.sin(c),j=Math.cos(c),R=[j,-O,O,j];z=z.matMult(R),D=D.matMult(R),I=I.matMult(R),P=P.matMult(R)}var F=Math.max(C.minScale,x),N=(t.angle+C.offset+2*Math.PI)%(2*Math.PI),B=(C.angle+C.offset+2*Math.PI)%(2*Math.PI);d.push(new n(C.anchorPoint,z,D,I,P,v,N,B,F,C.maxScale))}}}return d}function o(t,e,r,n,i,a){var o=!a;r<0&&(a=!a),a&&i++;var u=new s(e.x,e.y),c=n[i],h=1/0;r=Math.abs(r);for(var f=l;;){var d=u.dist(c),p=r/d,m=Math.atan2(c.y-u.y,c.x-u.x);if(a||(m+=Math.PI),t.push({anchorPoint:u,offset:o?Math.PI:0,minScale:p,maxScale:h,angle:(m+2*Math.PI)%(2*Math.PI)}),p<=f)break;for(u=c;u.equals(c);)if(i+=a?1:-1,!(c=n[i]))return p;var g=c.sub(u)._unit();u=u.sub(g._mult(d)),h=p}return f}var s=t(\"point-geometry\");e.exports={getIconQuads:i,getGlyphQuads:a,SymbolQuad:n};var l=.5},{\"point-geometry\":465}],384:[function(t,e,r){\"use strict\";function n(t,e,r){for(var n=[],a=0,o=t.length;a<o;a++){var s=i(t[a].properties,e[\"text-field\"]);if(s){s=s.toString();var l=e[\"text-transform\"];\"uppercase\"===l?s=s.toLocaleUpperCase():\"lowercase\"===l&&(s=s.toLocaleLowerCase());for(var u=0;u<s.length;u++)r[s.charCodeAt(u)]=!0;n[a]=s}else n[a]=null}return n}var i=t(\"../util/token\");e.exports=n},{\"../util/token\":423}],385:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.codePoint=t,this.x=e,this.y=r,this.glyph=n}function i(t,e,r,n,i,a){this.positionedGlyphs=t,this.text=e,this.top=r,this.bottom=n,this.left=i,this.right=a}function a(t,e,r,a,s,l,u,c,h){for(var f=[],d=new i(f,t,h[1],h[1],h[0],h[0]),p=0,m=0;m<t.length;m++){var g=t.charCodeAt(m),v=e[g];v&&(f.push(new n(g,p,-17,v)),p+=v.advance+c)}return!!f.length&&(o(d,e,a,r,s,l,u,h),d)}function o(t,e,r,n,i,a,o,u){var c=null,d=0,p=0,m=0,g=0,v=t.positionedGlyphs;if(n)for(var y=0;y<v.length;y++){var b=v[y];if(b.x-=d,b.y+=r*m,b.x>n&&null!==c){var x=v[c+1].x;g=Math.max(x,g);for(var _=c+1;_<=y;_++)v[_].y+=r,v[_].x-=x;if(o){var w=c;h[v[c].codePoint]&&w--,s(v,e,p,w,o)}p=c+1,c=null,d+=x,m++}f[b.codePoint]&&(c=y)}var M=v[v.length-1],k=M.x+e[M.codePoint].advance;g=Math.max(g,k);var A=(m+1)*r;s(v,e,p,v.length-1,o),l(v,o,i,a,g,r,m,u),t.top+=-a*A,t.bottom=t.top+A,t.left+=-i*g,t.right=t.left+g}function s(t,e,r,n,i){for(var a=e[t[n].codePoint].advance,o=(t[n].x+a)*i,s=r;s<=n;s++)t[s].x-=o}function l(t,e,r,n,i,a,o,s){for(var l=(e-r)*i+s[0],u=(-n*(o+1)+.5)*a+s[1],c=0;c<t.length;c++)t[c].x+=l,t[c].y+=u}function u(t,e){if(!t||!t.rect)return null;var r=e[\"icon-offset\"][0],n=e[\"icon-offset\"][1],i=r-t.width/2,a=i+t.width,o=n-t.height/2;return new c(t,o,o+t.height,i,a)}function c(t,e,r,n,i){this.image=t,this.top=e,this.bottom=r,this.left=n,this.right=i}e.exports={shapeText:a,shapeIcon:u};var h={32:!0,8203:!0},f={32:!0,38:!0,43:!0,45:!0,47:!0,173:!0,183:!0,8203:!0,8208:!0,8211:!0}},{}],386:[function(t,e,r){\"use strict\";function n(t,e){this.width=t,this.height=e,this.bin=new o(t,e),this.images={},this.data=!1,this.texture=0,this.filter=0,this.pixelRatio=1,this.dirty=!0}function i(t,e,r,n,i,a,o,s,l,u,c){var h,f,d=n*e+r,p=s*a+o;if(c)for(p-=a,f=-1;f<=u;f++,d=((f+u)%u+n)*e+r,p+=a)for(h=-1;h<=l;h++)i[p+h]=t[d+(h+l)%l];else for(f=0;f<u;f++,d+=e,p+=a)for(h=0;h<l;h++)i[p+h]=t[d+h]}function a(t,e,r,n,i){this.rect=t,this.width=e,this.height=r,this.sdf=n,this.pixelRatio=i}var o=t(\"shelf-pack\"),s=t(\"../util/browser\"),l=t(\"../util/util\");e.exports=n,n.prototype.allocateImage=function(t,e){t/=this.pixelRatio,e/=this.pixelRatio;var r=t+2+(4-(t+2)%4),n=e+2+(4-(e+2)%4),i=this.bin.packOne(r,n);return i||(l.warnOnce(\"SpriteAtlas out of space.\"),null)},n.prototype.getImage=function(t,e){if(this.images[t])return this.images[t];if(!this.sprite)return null;var r=this.sprite.getSpritePosition(t);if(!r.width||!r.height)return null;var n=this.allocateImage(r.width,r.height);if(!n)return null;var i=new a(n,r.width/r.pixelRatio,r.height/r.pixelRatio,r.sdf,r.pixelRatio/this.pixelRatio);return this.images[t]=i,this.copy(n,r,e),i},n.prototype.getPosition=function(t,e){var r=this.getImage(t,e),n=r&&r.rect;if(!n)return null;var i=r.width*r.pixelRatio,a=r.height*r.pixelRatio;return{size:[r.width,r.height],tl:[(n.x+1)/this.width,(n.y+1)/this.height],br:[(n.x+1+i)/this.width,(n.y+1+a)/this.height]}},n.prototype.allocate=function(){if(!this.data){var t=Math.floor(this.width*this.pixelRatio),e=Math.floor(this.height*this.pixelRatio);this.data=new Uint32Array(t*e);for(var r=0;r<this.data.length;r++)this.data[r]=0}},n.prototype.copy=function(t,e,r){if(this.sprite.img.data){var n=new Uint32Array(this.sprite.img.data.buffer);this.allocate();var a=this.data;i(n,this.sprite.img.width,e.x,e.y,a,this.width*this.pixelRatio,(t.x+1)*this.pixelRatio,(t.y+1)*this.pixelRatio,e.width,e.height,r),this.dirty=!0}},n.prototype.setSprite=function(t){t&&(this.pixelRatio=s.devicePixelRatio>1?2:1,this.canvas&&(this.canvas.width=this.width*this.pixelRatio,this.canvas.height=this.height*this.pixelRatio)),this.sprite=t},n.prototype.addIcons=function(t,e){for(var r=0;r<t.length;r++)this.getImage(t[r]);e(null,this.images)},n.prototype.bind=function(t,e){var r=!1;this.texture?t.bindTexture(t.TEXTURE_2D,this.texture):(this.texture=t.createTexture(),t.bindTexture(t.TEXTURE_2D,this.texture),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),r=!0);var n=e?t.LINEAR:t.NEAREST;n!==this.filter&&(t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,n),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,n),this.filter=n),this.dirty&&(this.allocate(),r?t.texImage2D(t.TEXTURE_2D,0,t.RGBA,this.width*this.pixelRatio,this.height*this.pixelRatio,0,t.RGBA,t.UNSIGNED_BYTE,new Uint8Array(this.data.buffer)):t.texSubImage2D(t.TEXTURE_2D,0,0,0,this.width*this.pixelRatio,this.height*this.pixelRatio,t.RGBA,t.UNSIGNED_BYTE,new Uint8Array(this.data.buffer)),this.dirty=!1)}},{\"../util/browser\":408,\"../util/util\":424,\"shelf-pack\":495}],387:[function(t,e,r){\"use strict\";var n=t(\"../util/struct_array\"),i=t(\"../util/util\"),a=t(\"point-geometry\"),o=e.exports=new n({members:[{type:\"Uint16\",name:\"textBoxStartIndex\"},{type:\"Uint16\",name:\"textBoxEndIndex\"},{type:\"Uint16\",name:\"iconBoxStartIndex\"},{type:\"Uint16\",name:\"iconBoxEndIndex\"},{type:\"Uint16\",name:\"glyphQuadStartIndex\"},{type:\"Uint16\",name:\"glyphQuadEndIndex\"},{type:\"Uint16\",name:\"iconQuadStartIndex\"},{type:\"Uint16\",name:\"iconQuadEndIndex\"},{type:\"Int16\",name:\"anchorPointX\"},{type:\"Int16\",name:\"anchorPointY\"},{type:\"Int8\",name:\"index\"}]});i.extendAll(o.prototype.StructType.prototype,{get anchorPoint(){return new a(this.anchorPointX,this.anchorPointY)}})},{\"../util/struct_array\":422,\"../util/util\":424,\"point-geometry\":465}],388:[function(t,e,r){\"use strict\";var n=t(\"../util/struct_array\"),i=t(\"../util/util\"),a=t(\"point-geometry\"),o=t(\"./quads\").SymbolQuad,s=e.exports=new n({members:[{type:\"Int16\",name:\"anchorPointX\"},{type:\"Int16\",name:\"anchorPointY\"},{type:\"Float32\",name:\"tlX\"},{type:\"Float32\",name:\"tlY\"},{type:\"Float32\",name:\"trX\"},{type:\"Float32\",name:\"trY\"},{type:\"Float32\",name:\"blX\"},{type:\"Float32\",name:\"blY\"},{type:\"Float32\",name:\"brX\"},{type:\"Float32\",name:\"brY\"},{type:\"Int16\",name:\"texH\"},{type:\"Int16\",name:\"texW\"},{type:\"Int16\",name:\"texX\"},{type:\"Int16\",name:\"texY\"},{type:\"Float32\",name:\"anchorAngle\"},{type:\"Float32\",name:\"glyphAngle\"},{type:\"Float32\",name:\"maxScale\"},{type:\"Float32\",name:\"minScale\"}]});i.extendAll(s.prototype.StructType.prototype,{get anchorPoint(){return new a(this.anchorPointX,this.anchorPointY)},get SymbolQuad(){return new o(this.anchorPoint,new a(this.tlX,this.tlY),new a(this.trX,this.trY),new a(this.blX,this.blY),new a(this.brX,this.brY),{x:this.texX,y:this.texY,h:this.texH,w:this.texW,height:this.texH,width:this.texW},this.anchorAngle,this.glyphAngle,this.minScale,this.maxScale)}})},{\"../util/struct_array\":422,\"../util/util\":424,\"./quads\":383,\"point-geometry\":465}],389:[function(t,e,r){\"use strict\";var n=t(\"../util/dom\"),i=t(\"point-geometry\"),a={scrollZoom:t(\"./handler/scroll_zoom\"),boxZoom:t(\"./handler/box_zoom\"),dragRotate:t(\"./handler/drag_rotate\"),dragPan:t(\"./handler/drag_pan\"),keyboard:t(\"./handler/keyboard\"),doubleClickZoom:t(\"./handler/dblclick_zoom\"),touchZoomRotate:t(\"./handler/touch_zoom_rotate\")};e.exports=function(t,e){function r(t){v(\"mouseout\",t)}function o(e){t.stop(),_=n.mousePos(b,e),v(\"mousedown\",e)}function s(e){var r=t.dragRotate&&t.dragRotate.isActive();x&&!r&&v(\"contextmenu\",x),x=null,v(\"mouseup\",e)}function l(e){if(!(t.dragPan&&t.dragPan.isActive()||t.dragRotate&&t.dragRotate.isActive())){for(var r=e.toElement||e.target;r&&r!==b;)r=r.parentNode;r===b&&v(\"mousemove\",e)}}function u(e){t.stop(),y(\"touchstart\",e),!e.touches||e.touches.length>1||(w?(clearTimeout(w),w=null,v(\"dblclick\",e)):w=setTimeout(d,300))}function c(t){y(\"touchmove\",t)}function h(t){y(\"touchend\",t)}function f(t){y(\"touchcancel\",t)}function d(){w=null}function p(t){n.mousePos(b,t).equals(_)&&v(\"click\",t)}function m(t){v(\"dblclick\",t),t.preventDefault()}function g(t){x=t,t.preventDefault()}function v(e,r){var i=n.mousePos(b,r);return t.fire(e,{lngLat:t.unproject(i),point:i,originalEvent:r})}function y(e,r){var a=n.touchPos(b,r),o=a.reduce(function(t,e,r,n){return t.add(e.div(n.length))},new i(0,0));return t.fire(e,{lngLat:t.unproject(o),point:o,lngLats:a.map(function(e){return t.unproject(e)},this),points:a,originalEvent:r})}var b=t.getCanvasContainer(),x=null,_=null,w=null;for(var M in a)t[M]=new a[M](t,e),e.interactive&&e[M]&&t[M].enable();b.addEventListener(\"mouseout\",r,!1),b.addEventListener(\"mousedown\",o,!1),b.addEventListener(\"mouseup\",s,!1),b.addEventListener(\"mousemove\",l,!1),b.addEventListener(\"touchstart\",u,!1),b.addEventListener(\"touchend\",h,!1),b.addEventListener(\"touchmove\",c,!1),b.addEventListener(\"touchcancel\",f,!1),b.addEventListener(\"click\",p,!1),b.addEventListener(\"dblclick\",m,!1),b.addEventListener(\"contextmenu\",g,!1)}},{\"../util/dom\":410,\"./handler/box_zoom\":395,\"./handler/dblclick_zoom\":396,\"./handler/drag_pan\":397,\"./handler/drag_rotate\":398,\"./handler/keyboard\":399,\"./handler/scroll_zoom\":400,\"./handler/touch_zoom_rotate\":401,\"point-geometry\":465}],390:[function(t,e,r){\"use strict\";var n=t(\"../util/util\"),i=t(\"../util/interpolate\"),a=t(\"../util/browser\"),o=t(\"../geo/lng_lat\"),s=t(\"../geo/lng_lat_bounds\"),l=t(\"point-geometry\"),u=e.exports=function(){};n.extend(u.prototype,{getCenter:function(){return this.transform.center},setCenter:function(t,e){return this.jumpTo({center:t},e),this},panBy:function(t,e,r){return this.panTo(this.transform.center,n.extend({offset:l.convert(t).mult(-1)},e),r),this},panTo:function(t,e,r){return this.easeTo(n.extend({center:t},e),r)},getZoom:function(){return this.transform.zoom},setZoom:function(t,e){return this.jumpTo({zoom:t},e),this},zoomTo:function(t,e,r){return this.easeTo(n.extend({zoom:t},e),r)},zoomIn:function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},zoomOut:function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},getBearing:function(){return this.transform.bearing},setBearing:function(t,e){return this.jumpTo({bearing:t},e),this},rotateTo:function(t,e,r){return this.easeTo(n.extend({bearing:t},e),r)},resetNorth:function(t,e){return this.rotateTo(0,n.extend({duration:1e3},t),e),this},snapToNorth:function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},getPitch:function(){return this.transform.pitch},setPitch:function(t,e){return this.jumpTo({pitch:t},e),this},fitBounds:function(t,e,r){e=n.extend({padding:0,offset:[0,0],maxZoom:1/0},e),t=s.convert(t);var i=l.convert(e.offset),a=this.transform,o=a.project(t.getNorthWest()),u=a.project(t.getSouthEast()),c=u.sub(o),h=(a.width-2*e.padding-2*Math.abs(i.x))/c.x,f=(a.height-2*e.padding-2*Math.abs(i.y))/c.y;return e.center=a.unproject(o.add(u).div(2)),e.zoom=Math.min(a.scaleZoom(a.scale*Math.min(h,f)),e.maxZoom),e.bearing=0,e.linear?this.easeTo(e,r):this.flyTo(e,r)},jumpTo:function(t,e){this.stop();var r=this.transform,n=!1,i=!1,a=!1;return\"zoom\"in t&&r.zoom!==+t.zoom&&(n=!0,r.zoom=+t.zoom),\"center\"in t&&(r.center=o.convert(t.center)),\"bearing\"in t&&r.bearing!==+t.bearing&&(i=!0,r.bearing=+t.bearing),\"pitch\"in t&&r.pitch!==+t.pitch&&(a=!0,r.pitch=+t.pitch),this.fire(\"movestart\",e).fire(\"move\",e),n&&this.fire(\"zoomstart\",e).fire(\"zoom\",e).fire(\"zoomend\",e),i&&this.fire(\"rotate\",e),a&&this.fire(\"pitch\",e),this.fire(\"moveend\",e)},easeTo:function(t,e){this.stop(),t=n.extend({offset:[0,0],duration:500,easing:n.ease},t);var r,a,s=this.transform,u=l.convert(t.offset),c=this.getZoom(),h=this.getBearing(),f=this.getPitch(),d=\"zoom\"in t?+t.zoom:c,p=\"bearing\"in t?this._normalizeBearing(t.bearing,h):h,m=\"pitch\"in t?+t.pitch:f;\"center\"in t?(r=o.convert(t.center),a=s.centerPoint.add(u)):\"around\"in t?(r=o.convert(t.around),a=s.locationPoint(r)):(a=s.centerPoint.add(u),r=s.pointLocation(a));var g=s.locationPoint(r);return t.animate===!1&&(t.duration=0),this.zooming=d!==c,this.rotating=h!==p,this.pitching=m!==f,t.noMoveStart||this.fire(\"movestart\",e),this.zooming&&this.fire(\"zoomstart\",e),clearTimeout(this._onEaseEnd),this._ease(function(t){this.zooming&&(s.zoom=i(c,d,t)),this.rotating&&(s.bearing=i(h,p,t)),this.pitching&&(s.pitch=i(f,m,t)),s.setLocationAtPoint(r,g.add(a.sub(g)._mult(t))),this.fire(\"move\",e),this.zooming&&this.fire(\"zoom\",e),this.rotating&&this.fire(\"rotate\",e),this.pitching&&this.fire(\"pitch\",e)},function(){t.delayEndEvents?this._onEaseEnd=setTimeout(this._easeToEnd.bind(this,e),t.delayEndEvents):this._easeToEnd(e)}.bind(this),t),this},_easeToEnd:function(t){var e=this.zooming;this.zooming=!1,this.rotating=!1,this.pitching=!1,e&&this.fire(\"zoomend\",t),this.fire(\"moveend\",t)},flyTo:function(t,e){function r(t){var e=(A*A-k*k+(t?-1:1)*L*L*T*T)/(2*(t?A:k)*L*T);return Math.log(Math.sqrt(e*e+1)-e)}function a(t){return(Math.exp(t)-Math.exp(-t))/2}function s(t){return(Math.exp(t)+Math.exp(-t))/2}function u(t){return a(t)/s(t)}this.stop(),t=n.extend({offset:[0,0],speed:1.2,curve:1.42,easing:n.ease},t);var c=this.transform,h=l.convert(t.offset),f=this.getZoom(),d=this.getBearing(),p=this.getPitch(),m=\"center\"in t?o.convert(t.center):this.getCenter(),g=\"zoom\"in t?+t.zoom:f,v=\"bearing\"in t?this._normalizeBearing(t.bearing,d):d,y=\"pitch\"in t?+t.pitch:p;Math.abs(c.center.lng)+Math.abs(m.lng)>180&&(c.center.lng>0&&m.lng<0?m.lng+=360:c.center.lng<0&&m.lng>0&&(m.lng-=360));var b=c.zoomScale(g-f),x=c.point,_=\"center\"in t?c.project(m).sub(h.div(b)):x,w=c.worldSize,M=t.curve,k=Math.max(c.width,c.height),A=k/b,T=_.sub(x).mag();if(\"minZoom\"in t){var S=n.clamp(Math.min(t.minZoom,f,g),c.minZoom,c.maxZoom),E=k/c.zoomScale(S-f);M=Math.sqrt(E/T*2)}var L=M*M,C=r(0),z=function(t){return s(C)/s(C+M*t)},D=function(t){return k*((s(C)*u(C+M*t)-a(C))/L)/T},I=(r(1)-C)/M;if(Math.abs(T)<1e-6){if(Math.abs(k-A)<1e-6)return this.easeTo(t);var P=A<k?-1:1;I=Math.abs(Math.log(A/k))/M,D=function(){return 0},z=function(t){return Math.exp(P*M*t)}}if(\"duration\"in t)t.duration=+t.duration;else{var O=\"screenSpeed\"in t?+t.screenSpeed/M:+t.speed;t.duration=1e3*I/O}return this.zooming=!0,d!==v&&(this.rotating=!0),p!==y&&(this.pitching=!0),this.fire(\"movestart\",e),this.fire(\"zoomstart\",e),this._ease(function(t){var r=t*I,n=D(r);c.zoom=f+c.scaleZoom(1/z(r)),c.center=c.unproject(x.add(_.sub(x).mult(n)),w),this.rotating&&(c.bearing=i(d,v,t)),this.pitching&&(c.pitch=i(p,y,t)),this.fire(\"move\",e),this.fire(\"zoom\",e),this.rotating&&this.fire(\"rotate\",e),this.pitching&&this.fire(\"pitch\",e)},function(){this.zooming=!1,this.rotating=!1,this.pitching=!1,this.fire(\"zoomend\",e),this.fire(\"moveend\",e)},t),this},isEasing:function(){return!!this._abortFn},stop:function(){return this._abortFn&&(this._abortFn(),this._finishEase()),this},_ease:function(t,e,r){this._finishFn=e,this._abortFn=a.timed(function(e){t.call(this,r.easing(e)),1===e&&this._finishEase()},r.animate===!1?0:r.duration,this)},_finishEase:function(){delete this._abortFn;var t=this._finishFn;delete this._finishFn,t.call(this)},_normalizeBearing:function(t,e){t=n.wrap(t,-180,180);var r=Math.abs(t-e);return Math.abs(t-360-e)<r&&(t-=360),Math.abs(t+360-e)<r&&(t+=360),t},_updateEasing:function(t,e,r){var i;if(this.ease){var a=this.ease,o=(Date.now()-a.start)/a.duration,s=a.easing(o+.01)-a.easing(o),l=.27/Math.sqrt(s*s+1e-4)*.01,u=Math.sqrt(.0729-l*l);i=n.bezier(l,u,.25,1)}else i=r?n.bezier.apply(n,r):n.ease;return this.ease={start:(new Date).getTime(),to:Math.pow(2,e),duration:t,easing:i},i}})},{\"../geo/lng_lat\":321,\"../geo/lng_lat_bounds\":322,\"../util/browser\":408,\"../util/interpolate\":418,\"../util/util\":424,\"point-geometry\":465}],391:[function(t,e,r){\"use strict\";function n(t){o.setOptions(this,t)}var i=t(\"./control\"),a=t(\"../../util/dom\"),o=t(\"../../util/util\");e.exports=n,n.createAttributionString=function(t){var e=[];for(var r in t){var n=t[r];n.attribution&&e.indexOf(n.attribution)<0&&e.push(n.attribution)}return e.sort(function(t,e){return t.length-e.length}),e=e.filter(function(t,r){for(var n=r+1;n<e.length;n++)if(e[n].indexOf(t)>=0)return!1;return!0}),e.join(\" | \")},n.prototype=o.inherit(i,{options:{position:\"bottom-right\"},onAdd:function(t){var e=this._container=a.create(\"div\",\"mapboxgl-ctrl-attrib\",t.getContainer());return this._update(),t.on(\"source.load\",this._update.bind(this)),t.on(\"source.change\",this._update.bind(this)),t.on(\"source.remove\",this._update.bind(this)),t.on(\"moveend\",this._updateEditLink.bind(this)),e},_update:function(){this._map.style&&(this._container.innerHTML=n.createAttributionString(this._map.style.sources)),this._editLink=this._container.getElementsByClassName(\"mapbox-improve-map\")[0],this._updateEditLink()},_updateEditLink:function(){if(this._editLink){var t=this._map.getCenter();this._editLink.href=\"https://www.mapbox.com/map-feedback/#/\"+t.lng+\"/\"+t.lat+\"/\"+Math.round(this._map.getZoom()+1)}}})},{\"../../util/dom\":410,\"../../util/util\":424,\"./control\":392}],392:[function(t,e,r){\"use strict\";function n(){}var i=t(\"../../util/util\"),a=t(\"../../util/evented\");e.exports=n,n.prototype={addTo:function(t){this._map=t;var e=this._container=this.onAdd(t);if(this.options&&this.options.position){var r=this.options.position,n=t._controlCorners[r];e.className+=\" mapboxgl-ctrl\",r.indexOf(\"bottom\")!==-1?n.insertBefore(e,n.firstChild):n.appendChild(e)}return this},remove:function(){return this._container.parentNode.removeChild(this._container),this.onRemove&&this.onRemove(this._map),this._map=null,this}},i.extend(n.prototype,a)},{\"../../util/evented\":416,\"../../util/util\":424}],393:[function(t,e,r){\"use strict\";function n(t){s.setOptions(this,t)}var i=t(\"./control\"),a=t(\"../../util/browser\"),o=t(\"../../util/dom\"),s=t(\"../../util/util\");e.exports=n;var l={enableHighAccuracy:!1,timeout:6e3};n.prototype=s.inherit(i,{options:{position:\"top-right\"},onAdd:function(t){var e=this._container=o.create(\"div\",\"mapboxgl-ctrl-group\",t.getContainer());return a.supportsGeolocation?(this._container.addEventListener(\"contextmenu\",this._onContextMenu.bind(this)),this._geolocateButton=o.create(\"button\",\"mapboxgl-ctrl-icon mapboxgl-ctrl-geolocate\",this._container),this._geolocateButton.type=\"button\",this._geolocateButton.addEventListener(\"click\",this._onClickGeolocate.bind(this)),e):e},_onContextMenu:function(t){t.preventDefault()},_onClickGeolocate:function(){navigator.geolocation.getCurrentPosition(this._success.bind(this),this._error.bind(this),l),this._timeoutId=setTimeout(this._finish.bind(this),1e4)},_success:function(t){this._map.jumpTo({center:[t.coords.longitude,t.coords.latitude],zoom:17,bearing:0,pitch:0}),\n",
       "this.fire(\"geolocate\",t),this._finish()},_error:function(t){this.fire(\"error\",t),this._finish()},_finish:function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0}})},{\"../../util/browser\":408,\"../../util/dom\":410,\"../../util/util\":424,\"./control\":392}],394:[function(t,e,r){\"use strict\";function n(t){s.setOptions(this,t)}function i(t){return new MouseEvent(t.type,{button:2,buttons:2,bubbles:!0,cancelable:!0,detail:t.detail,view:t.view,screenX:t.screenX,screenY:t.screenY,clientX:t.clientX,clientY:t.clientY,movementX:t.movementX,movementY:t.movementY,ctrlKey:t.ctrlKey,shiftKey:t.shiftKey,altKey:t.altKey,metaKey:t.metaKey})}var a=t(\"./control\"),o=t(\"../../util/dom\"),s=t(\"../../util/util\");e.exports=n,n.prototype=s.inherit(a,{options:{position:\"top-right\"},onAdd:function(t){var e=\"mapboxgl-ctrl\",r=this._container=o.create(\"div\",e+\"-group\",t.getContainer());return this._container.addEventListener(\"contextmenu\",this._onContextMenu.bind(this)),this._zoomInButton=this._createButton(e+\"-icon \"+e+\"-zoom-in\",t.zoomIn.bind(t)),this._zoomOutButton=this._createButton(e+\"-icon \"+e+\"-zoom-out\",t.zoomOut.bind(t)),this._compass=this._createButton(e+\"-icon \"+e+\"-compass\",t.resetNorth.bind(t)),this._compassArrow=o.create(\"div\",\"arrow\",this._compass),this._compass.addEventListener(\"mousedown\",this._onCompassDown.bind(this)),this._onCompassMove=this._onCompassMove.bind(this),this._onCompassUp=this._onCompassUp.bind(this),t.on(\"rotate\",this._rotateCompassArrow.bind(this)),this._rotateCompassArrow(),this._el=t.getCanvasContainer(),r},_onContextMenu:function(t){t.preventDefault()},_onCompassDown:function(t){0===t.button&&(o.disableDrag(),document.addEventListener(\"mousemove\",this._onCompassMove),document.addEventListener(\"mouseup\",this._onCompassUp),this._el.dispatchEvent(i(t)),t.stopPropagation())},_onCompassMove:function(t){0===t.button&&(this._el.dispatchEvent(i(t)),t.stopPropagation())},_onCompassUp:function(t){0===t.button&&(document.removeEventListener(\"mousemove\",this._onCompassMove),document.removeEventListener(\"mouseup\",this._onCompassUp),o.enableDrag(),this._el.dispatchEvent(i(t)),t.stopPropagation())},_createButton:function(t,e){var r=o.create(\"button\",t,this._container);return r.type=\"button\",r.addEventListener(\"click\",function(){e()}),r},_rotateCompassArrow:function(){var t=\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassArrow.style.transform=t}})},{\"../../util/dom\":410,\"../../util/util\":424,\"./control\":392}],395:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),o.bindHandlers(this)}var i=t(\"../../util/dom\"),a=t(\"../../geo/lng_lat_bounds\"),o=t(\"../../util/util\");e.exports=n,n.prototype={_enabled:!1,_active:!1,isEnabled:function(){return this._enabled},isActive:function(){return this._active},enable:function(){this.isEnabled()||(this._el.addEventListener(\"mousedown\",this._onMouseDown,!1),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"mousedown\",this._onMouseDown),this._enabled=!1)},_onMouseDown:function(t){t.shiftKey&&0===t.button&&(document.addEventListener(\"mousemove\",this._onMouseMove,!1),document.addEventListener(\"keydown\",this._onKeyDown,!1),document.addEventListener(\"mouseup\",this._onMouseUp,!1),i.disableDrag(),this._startPos=i.mousePos(this._el,t),this._active=!0)},_onMouseMove:function(t){var e=this._startPos,r=i.mousePos(this._el,t);this._box||(this._box=i.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var n=Math.min(e.x,r.x),a=Math.max(e.x,r.x),o=Math.min(e.y,r.y),s=Math.max(e.y,r.y);i.setTransform(this._box,\"translate(\"+n+\"px,\"+o+\"px)\"),this._box.style.width=a-n+\"px\",this._box.style.height=s-o+\"px\"},_onMouseUp:function(t){if(0===t.button){var e=this._startPos,r=i.mousePos(this._el,t),n=new a(this._map.unproject(e),this._map.unproject(r));this._finish(),e.x===r.x&&e.y===r.y?this._fireEvent(\"boxzoomcancel\",t):this._map.fitBounds(n,{linear:!0}).fire(\"boxzoomend\",{originalEvent:t,boxZoomBounds:n})}},_onKeyDown:function(t){27===t.keyCode&&(this._finish(),this._fireEvent(\"boxzoomcancel\",t))},_finish:function(){this._active=!1,document.removeEventListener(\"mousemove\",this._onMouseMove,!1),document.removeEventListener(\"keydown\",this._onKeyDown,!1),document.removeEventListener(\"mouseup\",this._onMouseUp,!1),this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(this._box.parentNode.removeChild(this._box),this._box=null),i.enableDrag()},_fireEvent:function(t,e){return this._map.fire(t,{originalEvent:e})}}},{\"../../geo/lng_lat_bounds\":322,\"../../util/dom\":410,\"../../util/util\":424}],396:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._onDblClick=this._onDblClick.bind(this)}e.exports=n,n.prototype={_enabled:!1,isEnabled:function(){return this._enabled},enable:function(){this.isEnabled()||(this._map.on(\"dblclick\",this._onDblClick),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._map.off(\"dblclick\",this._onDblClick),this._enabled=!1)},_onDblClick:function(t){this._map.zoomTo(this._map.getZoom()+(t.originalEvent.shiftKey?-1:1),{around:t.lngLat},t)}}},{}],397:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._el=t.getCanvasContainer(),a.bindHandlers(this)}var i=t(\"../../util/dom\"),a=t(\"../../util/util\");e.exports=n;var o=a.bezier(0,0,.3,1);n.prototype={_enabled:!1,_active:!1,isEnabled:function(){return this._enabled},isActive:function(){return this._active},enable:function(){this.isEnabled()||(this._el.addEventListener(\"mousedown\",this._onDown),this._el.addEventListener(\"touchstart\",this._onDown),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"mousedown\",this._onDown),this._el.removeEventListener(\"touchstart\",this._onDown),this._enabled=!1)},_onDown:function(t){this._ignoreEvent(t)||this.isActive()||(t.touches?(document.addEventListener(\"touchmove\",this._onMove),document.addEventListener(\"touchend\",this._onTouchEnd)):(document.addEventListener(\"mousemove\",this._onMove),document.addEventListener(\"mouseup\",this._onMouseUp)),this._active=!1,this._startPos=this._pos=i.mousePos(this._el,t),this._inertia=[[Date.now(),this._pos]])},_onMove:function(t){if(!this._ignoreEvent(t)){this.isActive()||(this._active=!0,this._fireEvent(\"dragstart\",t),this._fireEvent(\"movestart\",t));var e=i.mousePos(this._el,t),r=this._map;r.stop(),this._drainInertiaBuffer(),this._inertia.push([Date.now(),e]),r.transform.setLocationAtPoint(r.transform.pointLocation(this._pos),e),this._fireEvent(\"drag\",t),this._fireEvent(\"move\",t),this._pos=e,t.preventDefault()}},_onUp:function(t){if(this.isActive()){this._active=!1,this._fireEvent(\"dragend\",t),this._drainInertiaBuffer();var e=function(){this._fireEvent(\"moveend\",t)}.bind(this),r=this._inertia;if(r.length<2)return void e();var n=r[r.length-1],i=r[0],a=n[1].sub(i[1]),s=(n[0]-i[0])/1e3;if(0===s||n[1].equals(i[1]))return void e();var l=a.mult(.3/s),u=l.mag();u>1400&&(u=1400,l._unit()._mult(u));var c=u/750,h=l.mult(-c/2);this._map.panBy(h,{duration:1e3*c,easing:o,noMoveStart:!0},{originalEvent:t})}},_onMouseUp:function(t){this._ignoreEvent(t)||(this._onUp(t),document.removeEventListener(\"mousemove\",this._onMove),document.removeEventListener(\"mouseup\",this._onMouseUp))},_onTouchEnd:function(t){this._ignoreEvent(t)||(this._onUp(t),document.removeEventListener(\"touchmove\",this._onMove),document.removeEventListener(\"touchend\",this._onTouchEnd))},_fireEvent:function(t,e){return this._map.fire(t,{originalEvent:e})},_ignoreEvent:function(t){var e=this._map;if(e.boxZoom&&e.boxZoom.isActive())return!0;if(e.dragRotate&&e.dragRotate.isActive())return!0;if(t.touches)return t.touches.length>1;if(t.ctrlKey)return!0;return\"mousemove\"===t.type?t.buttons&!1:0!==t.button},_drainInertiaBuffer:function(){for(var t=this._inertia,e=Date.now();t.length>0&&e-t[0][0]>160;)t.shift()}}},{\"../../util/dom\":410,\"../../util/util\":424}],398:[function(t,e,r){\"use strict\";function n(t,e){this._map=t,this._el=t.getCanvasContainer(),this._bearingSnap=e.bearingSnap,o.bindHandlers(this)}var i=t(\"../../util/dom\"),a=t(\"point-geometry\"),o=t(\"../../util/util\");e.exports=n;var s=o.bezier(0,0,.25,1);n.prototype={_enabled:!1,_active:!1,isEnabled:function(){return this._enabled},isActive:function(){return this._active},enable:function(){this.isEnabled()||(this._el.addEventListener(\"mousedown\",this._onDown),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"mousedown\",this._onDown),this._enabled=!1)},_onDown:function(t){if(!this._ignoreEvent(t)&&!this.isActive()){document.addEventListener(\"mousemove\",this._onMove),document.addEventListener(\"mouseup\",this._onUp),this._active=!1,this._inertia=[[Date.now(),this._map.getBearing()]],this._startPos=this._pos=i.mousePos(this._el,t),this._center=this._map.transform.centerPoint;var e=this._startPos.sub(this._center);e.mag()<200&&(this._center=this._startPos.add(new a(-200,0)._rotate(e.angle()))),t.preventDefault()}},_onMove:function(t){if(!this._ignoreEvent(t)){this.isActive()||(this._active=!0,this._fireEvent(\"rotatestart\",t),this._fireEvent(\"movestart\",t));var e=this._map;e.stop();var r=this._pos,n=i.mousePos(this._el,t),a=this._center,o=r.sub(a).angleWith(n.sub(a))/Math.PI*180,s=e.getBearing()-o,l=this._inertia,u=l[l.length-1];this._drainInertiaBuffer(),l.push([Date.now(),e._normalizeBearing(s,u[1])]),e.transform.bearing=s,this._fireEvent(\"rotate\",t),this._fireEvent(\"move\",t),this._pos=n}},_onUp:function(t){if(!this._ignoreEvent(t)&&(document.removeEventListener(\"mousemove\",this._onMove),document.removeEventListener(\"mouseup\",this._onUp),this.isActive())){this._active=!1,this._fireEvent(\"rotateend\",t),this._drainInertiaBuffer();var e=this._map,r=e.getBearing(),n=this._inertia,i=function(){Math.abs(r)<this._bearingSnap?e.resetNorth({noMoveStart:!0},{originalEvent:t}):this._fireEvent(\"moveend\",t)}.bind(this);if(n.length<2)return void i();var a=n[0],o=n[n.length-1],l=n[n.length-2],u=e._normalizeBearing(r,l[1]),c=o[1]-a[1],h=c<0?-1:1,f=(o[0]-a[0])/1e3;if(0===c||0===f)return void i();var d=Math.abs(c*(.25/f));d>180&&(d=180);var p=d/180;u+=h*d*(p/2),Math.abs(e._normalizeBearing(u,0))<this._bearingSnap&&(u=e._normalizeBearing(0,u)),e.rotateTo(u,{duration:1e3*p,easing:s,noMoveStart:!0},{originalEvent:t})}},_fireEvent:function(t,e){return this._map.fire(t,{originalEvent:e})},_ignoreEvent:function(t){var e=this._map;if(e.boxZoom&&e.boxZoom.isActive())return!0;if(e.dragPan&&e.dragPan.isActive())return!0;if(t.touches)return t.touches.length>1;var r=t.ctrlKey?1:2,n=t.ctrlKey?0:2;return\"mousemove\"===t.type?t.buttons&0===r:t.button!==n},_drainInertiaBuffer:function(){for(var t=this._inertia,e=Date.now();t.length>0&&e-t[0][0]>160;)t.shift()}}},{\"../../util/dom\":410,\"../../util/util\":424,\"point-geometry\":465}],399:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._el=t.getCanvasContainer(),this._onKeyDown=this._onKeyDown.bind(this)}e.exports=n;n.prototype={_enabled:!1,isEnabled:function(){return this._enabled},enable:function(){this.isEnabled()||(this._el.addEventListener(\"keydown\",this._onKeyDown,!1),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"keydown\",this._onKeyDown),this._enabled=!1)},_onKeyDown:function(t){if(!(t.altKey||t.ctrlKey||t.metaKey)){var e=this._map,r={originalEvent:t};if(!e.isEasing())switch(t.keyCode){case 61:case 107:case 171:case 187:e.zoomTo(Math.round(e.getZoom())+(t.shiftKey?2:1),r);break;case 189:case 109:case 173:e.zoomTo(Math.round(e.getZoom())-(t.shiftKey?2:1),r);break;case 37:t.shiftKey?e.easeTo({bearing:e.getBearing()-2},r):(t.preventDefault(),e.panBy([-80,0],r));break;case 39:t.shiftKey?e.easeTo({bearing:e.getBearing()+2},r):(t.preventDefault(),e.panBy([80,0],r));break;case 38:t.shiftKey?e.easeTo({pitch:e.getPitch()+5},r):(t.preventDefault(),e.panBy([0,-80],r));break;case 40:t.shiftKey?e.easeTo({pitch:Math.max(e.getPitch()-5,0)},r):(t.preventDefault(),e.panBy([0,80],r))}}}}},{}],400:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._el=t.getCanvasContainer(),o.bindHandlers(this)}var i=t(\"../../util/dom\"),a=t(\"../../util/browser\"),o=t(\"../../util/util\");e.exports=n;var s=\"undefined\"!=typeof navigator?navigator.userAgent.toLowerCase():\"\",l=s.indexOf(\"firefox\")!==-1,u=s.indexOf(\"safari\")!==-1&&s.indexOf(\"chrom\")===-1;n.prototype={_enabled:!1,isEnabled:function(){return this._enabled},enable:function(){this.isEnabled()||(this._el.addEventListener(\"wheel\",this._onWheel,!1),this._el.addEventListener(\"mousewheel\",this._onWheel,!1),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"wheel\",this._onWheel),this._el.removeEventListener(\"mousewheel\",this._onWheel),this._enabled=!1)},_onWheel:function(t){var e;\"wheel\"===t.type?(e=t.deltaY,l&&t.deltaMode===window.WheelEvent.DOM_DELTA_PIXEL&&(e/=a.devicePixelRatio),t.deltaMode===window.WheelEvent.DOM_DELTA_LINE&&(e*=40)):\"mousewheel\"===t.type&&(e=-t.wheelDeltaY,u&&(e/=3));var r=a.now(),n=r-(this._time||0);this._pos=i.mousePos(this._el,t),this._time=r,0!==e&&e%4.000244140625==0?(this._type=\"wheel\",e=Math.floor(e/4)):0!==e&&Math.abs(e)<4?this._type=\"trackpad\":n>400?(this._type=null,this._lastValue=e,this._timeout=setTimeout(this._onTimeout,40)):this._type||(this._type=Math.abs(n*e)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,e+=this._lastValue)),t.shiftKey&&e&&(e/=4),this._type&&this._zoom(-e,t),t.preventDefault()},_onTimeout:function(){this._type=\"wheel\",this._zoom(-this._lastValue)},_zoom:function(t,e){if(0!==t){var r=this._map,n=2/(1+Math.exp(-Math.abs(t/100)));t<0&&0!==n&&(n=1/n);var i=r.ease?r.ease.to:r.transform.scale,a=r.transform.scaleZoom(i*n);r.zoomTo(a,{duration:0,around:r.unproject(this._pos),delayEndEvents:200},{originalEvent:e})}}}},{\"../../util/browser\":408,\"../../util/dom\":410,\"../../util/util\":424}],401:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._el=t.getCanvasContainer(),a.bindHandlers(this)}var i=t(\"../../util/dom\"),a=t(\"../../util/util\");e.exports=n;var o=a.bezier(0,0,.15,1);n.prototype={_enabled:!1,isEnabled:function(){return this._enabled},enable:function(){this.isEnabled()||(this._el.addEventListener(\"touchstart\",this._onStart,!1),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"touchstart\",this._onStart),this._enabled=!1)},disableRotation:function(){this._rotationDisabled=!0},enableRotation:function(){this._rotationDisabled=!1},_onStart:function(t){if(2===t.touches.length){var e=i.mousePos(this._el,t.touches[0]),r=i.mousePos(this._el,t.touches[1]);this._startVec=e.sub(r),this._startScale=this._map.transform.scale,this._startBearing=this._map.transform.bearing,this._gestureIntent=void 0,this._inertia=[],document.addEventListener(\"touchmove\",this._onMove,!1),document.addEventListener(\"touchend\",this._onEnd,!1)}},_onMove:function(t){if(2===t.touches.length){var e=i.mousePos(this._el,t.touches[0]),r=i.mousePos(this._el,t.touches[1]),n=e.add(r).div(2),a=e.sub(r),o=a.mag()/this._startVec.mag(),s=this._rotationDisabled?0:180*a.angleWith(this._startVec)/Math.PI,l=this._map;if(this._gestureIntent){var u={duration:0,around:l.unproject(n)};\"rotate\"===this._gestureIntent&&(u.bearing=this._startBearing+s),\"zoom\"!==this._gestureIntent&&\"rotate\"!==this._gestureIntent||(u.zoom=l.transform.scaleZoom(this._startScale*o)),l.stop(),this._drainInertiaBuffer(),this._inertia.push([Date.now(),o,n]),l.easeTo(u,{originalEvent:t})}else{var c=Math.abs(1-o)>.15;Math.abs(s)>4?this._gestureIntent=\"rotate\":c&&(this._gestureIntent=\"zoom\"),this._gestureIntent&&(this._startVec=a,this._startScale=l.transform.scale,this._startBearing=l.transform.bearing)}t.preventDefault()}},_onEnd:function(t){document.removeEventListener(\"touchmove\",this._onMove),document.removeEventListener(\"touchend\",this._onEnd),this._drainInertiaBuffer();var e=this._inertia,r=this._map;if(e.length<2)return void r.snapToNorth({},{originalEvent:t});var n=e[e.length-1],i=e[0],a=r.transform.scaleZoom(this._startScale*n[1]),s=r.transform.scaleZoom(this._startScale*i[1]),l=a-s,u=(n[0]-i[0])/1e3,c=n[2];if(0===u||a===s)return void r.snapToNorth({},{originalEvent:t});var h=.15*l/u;Math.abs(h)>2.5&&(h=h>0?2.5:-2.5);var f=1e3*Math.abs(h/(12*.15)),d=a+h*f/2e3;d<0&&(d=0),r.easeTo({zoom:d,duration:f,easing:o,around:r.unproject(c)},{originalEvent:t})},_drainInertiaBuffer:function(){for(var t=this._inertia,e=Date.now();t.length>2&&e-t[0][0]>160;)t.shift()}}},{\"../../util/dom\":410,\"../../util/util\":424}],402:[function(t,e,r){\"use strict\";function n(){i.bindAll([\"_onHashChange\",\"_updateHash\"],this)}e.exports=n;var i=t(\"../util/util\");n.prototype={addTo:function(t){return this._map=t,window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},remove:function(){return window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),delete this._map,this},_onHashChange:function(){var t=location.hash.replace(\"#\",\"\").split(\"/\");return t.length>=3&&(this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:+(t[3]||0)}),!0)},_updateHash:function(){var t=this._map.getCenter(),e=this._map.getZoom(),r=this._map.getBearing(),n=Math.max(0,Math.ceil(Math.log(e)/Math.LN2)),i=\"#\"+Math.round(100*e)/100+\"/\"+t.lat.toFixed(n)+\"/\"+t.lng.toFixed(n)+(r?\"/\"+Math.round(10*r)/10:\"\");window.history.replaceState(\"\",\"\",i)}}},{\"../util/util\":424}],403:[function(t,e,r){\"use strict\";function n(t){t.parentNode&&t.parentNode.removeChild(t)}var i=t(\"../util/canvas\"),a=t(\"../util/util\"),o=t(\"../util/browser\"),s=t(\"../util/browser\").window,l=t(\"../util/evented\"),u=t(\"../util/dom\"),c=t(\"../style/style\"),h=t(\"../style/animation_loop\"),f=t(\"../render/painter\"),d=t(\"../geo/transform\"),p=t(\"./hash\"),m=t(\"./bind_handlers\"),g=t(\"./camera\"),v=t(\"../geo/lng_lat\"),y=t(\"../geo/lng_lat_bounds\"),b=t(\"point-geometry\"),x=t(\"./control/attribution\"),_={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:0,maxZoom:20,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,bearingSnap:7,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,workerCount:Math.max(o.hardwareConcurrency-1,1)},w=e.exports=function(t){if(t=a.extend({},_,t),t.workerCount<1)throw new Error(\"workerCount must an integer greater than or equal to 1.\");this._interactive=t.interactive,this._failIfMajorPerformanceCaveat=t.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=t.preserveDrawingBuffer,this._trackResize=t.trackResize,this._workerCount=t.workerCount,this._bearingSnap=t.bearingSnap,\"string\"==typeof t.container?this._container=document.getElementById(t.container):this._container=t.container,this.animationLoop=new h,this.transform=new d(t.minZoom,t.maxZoom),t.maxBounds&&this.setMaxBounds(t.maxBounds),a.bindAll([\"_forwardStyleEvent\",\"_forwardSourceEvent\",\"_forwardLayerEvent\",\"_forwardTileEvent\",\"_onStyleLoad\",\"_onStyleChange\",\"_onSourceAdd\",\"_onSourceRemove\",\"_onSourceUpdate\",\"_onWindowOnline\",\"_onWindowResize\",\"_update\",\"_render\"],this),this._setupContainer(),this._setupPainter(),this.on(\"move\",this._update.bind(this,!1)),this.on(\"zoom\",this._update.bind(this,!0)),this.on(\"moveend\",function(){this.animationLoop.set(300),this._rerender()}.bind(this)),void 0!==s&&(s.addEventListener(\"online\",this._onWindowOnline,!1),s.addEventListener(\"resize\",this._onWindowResize,!1)),m(this,t),this._hash=t.hash&&(new p).addTo(this),this._hash&&this._hash._onHashChange()||this.jumpTo({center:t.center,zoom:t.zoom,bearing:t.bearing,pitch:t.pitch}),this.stacks={},this._classes=[],this.resize(),t.classes&&this.setClasses(t.classes),t.style&&this.setStyle(t.style),t.attributionControl&&this.addControl(new x(t.attributionControl));var e=this.fire.bind(this,\"error\");this.on(\"style.error\",e),this.on(\"source.error\",e),this.on(\"tile.error\",e),this.on(\"layer.error\",e)};a.extend(w.prototype,l),a.extend(w.prototype,g.prototype),a.extend(w.prototype,{addControl:function(t){return t.addTo(this),this},addClass:function(t,e){return this._classes.indexOf(t)>=0||\"\"===t?this:(this._classes.push(t),this._classOptions=e,this.style&&this.style.updateClasses(),this._update(!0))},removeClass:function(t,e){var r=this._classes.indexOf(t);return r<0||\"\"===t?this:(this._classes.splice(r,1),this._classOptions=e,this.style&&this.style.updateClasses(),this._update(!0))},setClasses:function(t,e){for(var r={},n=0;n<t.length;n++)\"\"!==t[n]&&(r[t[n]]=!0);return this._classes=Object.keys(r),this._classOptions=e,this.style&&this.style.updateClasses(),this._update(!0)},hasClass:function(t){return this._classes.indexOf(t)>=0},getClasses:function(){return this._classes},resize:function(){var t=0,e=0;return this._container&&(t=this._container.offsetWidth||400,e=this._container.offsetHeight||300),this._canvas.resize(t,e),this.transform.resize(t,e),this.painter.resize(t,e),this.fire(\"movestart\").fire(\"move\").fire(\"resize\").fire(\"moveend\")},getBounds:function(){var t=new y(this.transform.pointLocation(new b(0,0)),this.transform.pointLocation(this.transform.size));return(this.transform.angle||this.transform.pitch)&&(t.extend(this.transform.pointLocation(new b(this.transform.size.x,0))),t.extend(this.transform.pointLocation(new b(0,this.transform.size.y)))),t},setMaxBounds:function(t){if(t){var e=y.convert(t);this.transform.lngRange=[e.getWest(),e.getEast()],this.transform.latRange=[e.getSouth(),e.getNorth()],this.transform._constrain(),this._update()}else null!==t&&void 0!==t||(this.transform.lngRange=[],this.transform.latRange=[],this._update());return this},setMinZoom:function(t){if((t=null===t||void 0===t?0:t)>=0&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between 0 and the current maxZoom, inclusive\")},setMaxZoom:function(t){if((t=null===t||void 0===t?20:t)>=this.transform.minZoom&&t<=20)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be between the current minZoom and 20, inclusive\")},project:function(t){return this.transform.locationPoint(v.convert(t))},unproject:function(t){return this.transform.pointLocation(b.convert(t))},queryRenderedFeatures:function(){var t,e={};return 2===arguments.length?(t=arguments[0],e=arguments[1]):1===arguments.length&&function(t){return t instanceof b||Array.isArray(t)}(arguments[0])?t=arguments[0]:1===arguments.length&&(e=arguments[0]),this.style.queryRenderedFeatures(this._makeQueryGeometry(t),e,this.transform.zoom,this.transform.angle)},_makeQueryGeometry:function(t){void 0===t&&(t=[b.convert([0,0]),b.convert([this.transform.width,this.transform.height])]);var e;if(t instanceof b||\"number\"==typeof t[0])e=[b.convert(t)];else{var r=[b.convert(t[0]),b.convert(t[1])];e=[r[0],new b(r[1].x,r[0].y),r[1],new b(r[0].x,r[1].y),r[0]]}return e=e.map(function(t){return this.transform.pointCoordinate(t)}.bind(this))},querySourceFeatures:function(t,e){return this.style.querySourceFeatures(t,e)},setStyle:function(t){return this.style&&(this.style.off(\"load\",this._onStyleLoad).off(\"error\",this._forwardStyleEvent).off(\"change\",this._onStyleChange).off(\"source.add\",this._onSourceAdd).off(\"source.remove\",this._onSourceRemove).off(\"source.load\",this._onSourceUpdate).off(\"source.error\",this._forwardSourceEvent).off(\"source.change\",this._onSourceUpdate).off(\"layer.add\",this._forwardLayerEvent).off(\"layer.remove\",this._forwardLayerEvent).off(\"layer.error\",this._forwardLayerEvent).off(\"tile.add\",this._forwardTileEvent).off(\"tile.remove\",this._forwardTileEvent).off(\"tile.load\",this._update).off(\"tile.error\",this._forwardTileEvent).off(\"tile.stats\",this._forwardTileEvent)._remove(),this.off(\"rotate\",this.style._redoPlacement),this.off(\"pitch\",this.style._redoPlacement)),t?(this.style=t instanceof c?t:new c(t,this.animationLoop,this._workerCount),this.style.on(\"load\",this._onStyleLoad).on(\"error\",this._forwardStyleEvent).on(\"change\",this._onStyleChange).on(\"source.add\",this._onSourceAdd).on(\"source.remove\",this._onSourceRemove).on(\"source.load\",this._onSourceUpdate).on(\"source.error\",this._forwardSourceEvent).on(\"source.change\",this._onSourceUpdate).on(\"layer.add\",this._forwardLayerEvent).on(\"layer.remove\",this._forwardLayerEvent).on(\"layer.error\",this._forwardLayerEvent).on(\"tile.add\",this._forwardTileEvent).on(\"tile.remove\",this._forwardTileEvent).on(\"tile.load\",this._update).on(\"tile.error\",this._forwardTileEvent).on(\"tile.stats\",this._forwardTileEvent),this.on(\"rotate\",this.style._redoPlacement),this.on(\"pitch\",this.style._redoPlacement),this):(this.style=null,this)},getStyle:function(){if(this.style)return this.style.serialize()},addSource:function(t,e){return this.style.addSource(t,e),this._update(!0),this},addSourceType:function(t,e,r){return this.style.addSourceType(t,e,r)},removeSource:function(t){return this.style.removeSource(t),this._update(!0),this},getSource:function(t){return this.style.getSource(t)},addLayer:function(t,e){return this.style.addLayer(t,e),this._update(!0),this},removeLayer:function(t){return this.style.removeLayer(t),this._update(!0),this},getLayer:function(t){return this.style.getLayer(t)},setFilter:function(t,e){return this.style.setFilter(t,e),this._update(!0),this},setLayerZoomRange:function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0),this},getFilter:function(t){return this.style.getFilter(t)},setPaintProperty:function(t,e,r,n){return this.style.setPaintProperty(t,e,r,n),this._update(!0),this},getPaintProperty:function(t,e,r){return this.style.getPaintProperty(t,e,r)},setLayoutProperty:function(t,e,r){return this.style.setLayoutProperty(t,e,r),this._update(!0),this},getLayoutProperty:function(t,e){return this.style.getLayoutProperty(t,e)},getContainer:function(){return this._container},getCanvasContainer:function(){return this._canvasContainer},getCanvas:function(){return this._canvas.getElement()},_setupContainer:function(){var t=this._container;t.classList.add(\"mapboxgl-map\");var e=this._canvasContainer=u.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=new i(this,e);var r=this._controlContainer=u.create(\"div\",\"mapboxgl-control-container\",t),n=this._controlCorners={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach(function(t){n[t]=u.create(\"div\",\"mapboxgl-ctrl-\"+t,r)})},_setupPainter:function(){var t=this._canvas.getWebGLContext({failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer});if(!t)return void this.fire(\"error\",{error:new Error(\"Failed to initialize WebGL\")});this.painter=new f(t,this.transform)},_contextLost:function(t){t.preventDefault(),this._frameId&&o.cancelFrame(this._frameId),this.fire(\"webglcontextlost\",{originalEvent:t})},_contextRestored:function(t){this._setupPainter(),this.resize(),this._update(),this.fire(\"webglcontextrestored\",{originalEvent:t})},loaded:function(){return!this._styleDirty&&!this._sourcesDirty&&!(!this.style||!this.style.loaded())},_update:function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this._rerender(),this):this},_render:function(){try{this.style&&this._styleDirty&&(this._styleDirty=!1,this.style.update(this._classes,this._classOptions),this._classOptions=null,this.style._recalculate(this.transform.zoom)),this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this.painter.render(this.style,{debug:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,vertices:this.vertices,rotating:this.rotating,zooming:this.zooming}),this.fire(\"render\"),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(\"load\")),this._frameId=null,this.animationLoop.stopped()||(this._styleDirty=!0),(this._sourcesDirty||this._repaint||this._styleDirty)&&this._rerender()}catch(t){this.fire(\"error\",{error:t})}return this},remove:function(){this._hash&&this._hash.remove(),o.cancelFrame(this._frameId),this.setStyle(null),void 0!==s&&s.removeEventListener(\"resize\",this._onWindowResize,!1);var t=this.painter.gl.getExtension(\"WEBGL_lose_context\");t&&t.loseContext(),n(this._canvasContainer),n(this._controlContainer),this._container.classList.remove(\"mapboxgl-map\")},_rerender:function(){this.style&&!this._frameId&&(this._frameId=o.frame(this._render))},_forwardStyleEvent:function(t){this.fire(\"style.\"+t.type,a.extend({style:t.target},t))},_forwardSourceEvent:function(t){this.fire(t.type,a.extend({style:t.target},t))},_forwardLayerEvent:function(t){this.fire(t.type,a.extend({style:t.target},t))},_forwardTileEvent:function(t){this.fire(t.type,a.extend({style:t.target},t))},_onStyleLoad:function(t){this.transform.unmodified&&this.jumpTo(this.style.stylesheet),this.style.update(this._classes,{transition:!1}),this._forwardStyleEvent(t)},_onStyleChange:function(t){this._update(!0),this._forwardStyleEvent(t)},_onSourceAdd:function(t){var e=t.source;e.onAdd&&e.onAdd(this),this._forwardSourceEvent(t)},_onSourceRemove:function(t){var e=t.source;e.onRemove&&e.onRemove(this),this._forwardSourceEvent(t)},_onSourceUpdate:function(t){this._update(),this._forwardSourceEvent(t)},_onWindowOnline:function(){this._update()},_onWindowResize:function(){this._trackResize&&this.stop().resize()._update()}}),a.extendAll(w.prototype,{_showTileBoundaries:!1,get showTileBoundaries(){return this._showTileBoundaries},set showTileBoundaries(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},_showCollisionBoxes:!1,get showCollisionBoxes(){return this._showCollisionBoxes},set showCollisionBoxes(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,this.style._redoPlacement())},_showOverdrawInspector:!1,get showOverdrawInspector(){return this._showOverdrawInspector},set showOverdrawInspector(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},_repaint:!1,get repaint(){return this._repaint},set repaint(t){this._repaint=t,this._update()},_vertices:!1,get vertices(){return this._vertices},set vertices(t){this._vertices=t,this._update()}})},{\"../geo/lng_lat\":321,\"../geo/lng_lat_bounds\":322,\"../geo/transform\":323,\"../render/painter\":337,\"../style/animation_loop\":357,\"../style/style\":360,\"../util/browser\":408,\"../util/canvas\":409,\"../util/dom\":410,\"../util/evented\":416,\"../util/util\":424,\"./bind_handlers\":389,\"./camera\":390,\"./control/attribution\":391,\"./hash\":402,\"point-geometry\":465}],404:[function(t,e,r){\"use strict\";function n(t,e){t||(t=i.create(\"div\")),t.classList.add(\"mapboxgl-marker\"),this._el=t,this._offset=o.convert(e&&e.offset||[0,0]),this._update=this._update.bind(this)}e.exports=n;var i=t(\"../util/dom\"),a=t(\"../geo/lng_lat\"),o=t(\"point-geometry\");n.prototype={addTo:function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._el),t.on(\"move\",this._update),this._update(),this},remove:function(){this._map&&(this._map.off(\"move\",this._update),this._map=null);var t=this._el.parentNode;return t&&t.removeChild(this._el),this},getLngLat:function(){return this._lngLat},setLngLat:function(t){return this._lngLat=a.convert(t),this._update(),this},getElement:function(){return this._el},_update:function(){if(this._map){var t=this._map.project(this._lngLat)._add(this._offset);i.setTransform(this._el,\"translate(\"+t.x+\"px,\"+t.y+\"px)\")}}}},{\"../geo/lng_lat\":321,\"../util/dom\":410,\"point-geometry\":465}],405:[function(t,e,r){\"use strict\";function n(t){i.setOptions(this,t),i.bindAll([\"_update\",\"_onClickClose\"],this)}e.exports=n;var i=t(\"../util/util\"),a=t(\"../util/evented\"),o=t(\"../util/dom\"),s=t(\"../geo/lng_lat\");n.prototype=i.inherit(a,{options:{closeButton:!0,closeOnClick:!0},addTo:function(t){return this._map=t,this._map.on(\"move\",this._update),this.options.closeOnClick&&this._map.on(\"click\",this._onClickClose),this._update(),this},remove:function(){\n",
       "return this._content&&this._content.parentNode&&this._content.parentNode.removeChild(this._content),this._container&&(this._container.parentNode.removeChild(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"click\",this._onClickClose),delete this._map),this.fire(\"close\"),this},getLngLat:function(){return this._lngLat},setLngLat:function(t){return this._lngLat=s.convert(t),this._update(),this},setText:function(t){return this.setDOMContent(document.createTextNode(t))},setHTML:function(t){var e,r=document.createDocumentFragment(),n=document.createElement(\"body\");for(n.innerHTML=t;;){if(!(e=n.firstChild))break;r.appendChild(e)}return this.setDOMContent(r)},setDOMContent:function(t){return 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t=0;t<this.actors.length;t++)this.actors[t].target.terminate();this.actors=[]}}},{\"./actor\":406,\"./util\":424,\"./web_worker\":411}],416:[function(t,e,r){\"use strict\";var n=t(\"./util\"),i={on:function(t,e){return this._events=this._events||{},this._events[t]=this._events[t]||[],this._events[t].push(e),this},off:function(t,e){if(!t)return delete this._events,this;if(!this.listens(t))return this;if(e){var r=this._events[t].indexOf(e);r>=0&&this._events[t].splice(r,1),this._events[t].length||delete this._events[t]}else delete this._events[t];return this},once:function(t,e){var r=function(n){this.off(t,r),e.call(this,n)}.bind(this);return this.on(t,r),this},fire:function(t,e){if(!this.listens(t))return n.endsWith(t,\"error\")&&console.error(e&&e.error||e||\"Empty error event\"),this;e=n.extend({},e),n.extend(e,{type:t,target:this});for(var r=this._events[t].slice(),i=0;i<r.length;i++)r[i].call(this,e);return this},listens:function(t){return!(!this._events||!this._events[t])}};e.exports=i},{\"./util\":424}],417:[function(t,e,r){\"use strict\";function n(t,e){this.stacks=t.readFields(i,[],e)}function i(t,e,r){if(1===t){var n=r.readMessage(a,{glyphs:{}});e.push(n)}}function a(t,e,r){if(1===t)e.name=r.readString();else if(2===t)e.range=r.readString();else if(3===t){var n=r.readMessage(o,{});e.glyphs[n.id]=n}}function o(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}e.exports=n},{}],418:[function(t,e,r){\"use strict\";function n(t,e,r){return t*(1-r)+e*r}e.exports=n,n.number=n,n.vec2=function(t,e,r){return[n(t[0],e[0],r),n(t[1],e[1],r)]},n.color=function(t,e,r){return[n(t[0],e[0],r),n(t[1],e[1],r),n(t[2],e[2],r),n(t[3],e[3],r)]},n.array=function(t,e,r){return t.map(function(t,i){return n(t,e[i],r)})}},{}],419:[function(t,e,r){\"use 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n=e.unit,i=e.target;n>=0&&(t.activeTexture(un+n),t.bindTexture(i,null),rt[n]=null),t.deleteTexture(r),e.texture=null,e.params=null,e.pixels=null,e.refCount=0,delete tt[e.id],a.textureCount--}function C(e,n){function i(t,e){var n=c.texInfo;M.call(n);var a=_();return\"number\"==typeof t?\"number\"==typeof e?y(a,0|t,0|e):y(a,0|t,0|t):t?(de.type(t,\"object\",\"invalid arguments to regl.texture\"),k(n,t),b(a,t)):y(a,1,1),n.genMipmaps&&(a.mipmask=(a.width<<1)-1),c.mipmask=a.mipmask,l(c,a),de.texture2D(n,a,r),c.internalformat=a.internalformat,i.width=a.width,i.height=a.height,S(c),x(a,nr),A(n,nr),E(),w(a),o.profile&&(c.stats.size=Ct(c.internalformat,c.type,a.width,a.height,n.genMipmaps,!1)),i.format=q[c.internalformat],i.type=G[c.type],i.mag=Y[n.magFilter],i.min=W[n.minFilter],i.wrapS=X[n.wrapS],i.wrapT=X[n.wrapT],i}function s(t,e,r,n){de(!!t,\"must specify image data\");var a=0|e,o=0|r,s=0|n,u=m();return 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c,h=C.texInfo;for(M.call(h),c=0;c<6;++c)z[c]=_();if(\"number\"!=typeof t&&t)if(\"object\"==typeof t)if(e)b(z[0],t),b(z[1],e),b(z[2],n),b(z[3],i),b(z[4],a),b(z[5],s);else if(k(h,t),u(C,t),\"faces\"in t){var f=t.faces;for(de(Array.isArray(f)&&6===f.length,\"cube faces must be a length 6 array\"),c=0;c<6;++c)de(\"object\"==typeof f[c]&&!!f[c],\"invalid input for cube map face\"),l(z[c],C),b(z[c],f[c])}else for(c=0;c<6;++c)b(z[c],t);else de.raise(\"invalid arguments to cube map\");else{var p=0|t||1;for(c=0;c<6;++c)y(z[c],p,p)}for(l(C,z[0]),h.genMipmaps?C.mipmask=(z[0].width<<1)-1:C.mipmask=z[0].mipmask,de.textureCube(C,h,z,r),C.internalformat=z[0].internalformat,d.width=z[0].width,d.height=z[0].height,S(C),c=0;c<6;++c)x(z[c],ar+c);for(A(h,ir),E(),o.profile&&(C.stats.size=Ct(C.internalformat,C.type,d.width,d.height,h.genMipmaps,!0)),d.format=q[C.internalformat],d.type=G[C.type],d.mag=Y[h.magFilter],d.min=W[h.minFilter],d.wrapS=X[h.wrapS],d.wrapT=X[h.wrapT],c=0;c<6;++c)w(z[c]);return 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o=r.points[n[a]];i.push(o.numPoints?s(o):this.points[o.id])}return i},getChildren:function(t,e){for(var r=this.trees[e+1].points[t],n=this.options.radius/(this.options.extent*Math.pow(2,e)),i=this.trees[e+1].within(r.x,r.y,n),a=[],o=0;o<i.length;o++){var l=this.trees[e+1].points[i[o]];l.parentId===t&&a.push(l.numPoints?s(l):this.points[l.id])}return a},getLeaves:function(t,e,r,n){r=r||10,n=n||0;var i=[];return this._appendLeaves(i,t,e,r,n,0),i},getTile:function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options.extent,o=this.options.radius,s=o/a,l=(r-s)/i,u=(r+1+s)/i,c={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,u),n.points,e,r,i,c),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,u),n.points,i,r,i,c),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,u),n.points,-1,r,i,c),c.features.length?c:null},getClusterExpansionZoom:function(t,e){for(;e<this.options.maxZoom;){var r=this.getChildren(t,e);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},_appendLeaves:function(t,e,r,n,i,a){for(var o=this.getChildren(e,r),s=0;s<o.length;s++){var l=o[s].properties;if(l.cluster?a+l.point_count<=i?a+=l.point_count:a=this._appendLeaves(t,l.cluster_id,r+1,n,i,a):a<i?a++:t.push(o[s]),t.length===n)break}return a},_addTileFeatures:function(t,e,r,n,i,a){for(var o=0;o<t.length;o++){var s=e[t[o]];a.features.push({type:1,geometry:[[Math.round(this.options.extent*(s.x*i-r)),Math.round(this.options.extent*(s.y*i-n))]],tags:s.numPoints?l(s):this.points[s.id].properties})}},_limitZoom:function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},_cluster:function(t,e){for(var r=[],n=this.options.radius/(this.options.extent*Math.pow(2,e)),i=0;i<t.length;i++){var o=t[i];if(!(o.zoom<=e)){o.zoom=e;var s=this.trees[e+1],l=s.within(o.x,o.y,n),u=o.numPoints||1,c=o.x*u,h=o.y*u,f=null;this.options.reduce&&(f=this.options.initial(),this._accumulate(f,o));for(var d=0;d<l.length;d++){var p=s.points[l[d]];if(e<p.zoom){var m=p.numPoints||1;p.zoom=e,c+=p.x*m,h+=p.y*m,u+=m,p.parentId=i,this.options.reduce&&this._accumulate(f,p)}}1===u?r.push(o):(o.parentId=i,r.push(a(c/u,h/u,u,i,f)))}}return r},_accumulate:function(t,e){var r=e.numPoints?e.properties:this.options.map(this.points[e.id].properties);this.options.reduce(t,r)}}},{kdbush:280}],510:[function(t,e,r){\"use strict\";function n(t){return t.split(\"\").map(function(t){return t in i?i[t]:\"\"}).join(\"\")}e.exports=n;var i={\" \":\" 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u=0;u<1<<r;++u)a.push(\"p\"+u),l.push(\"p\"+u);a.push(\"a\",\"b\",\"c\"),l.push(\"a\",\"c\"),n.push(\"vertex:function vertexFunc(\",a.join(),\"){\");for(var c=[],u=0;u<1<<r;++u)c.push(\"(p\"+u+\"<<\"+u+\")\");n.push(\"var m=(\",c.join(\"+\"),\")|0;if(m===0||m===\",(1<<(1<<r))-1,\"){return}\");var h=[],f=[];1<<(1<<r)<=128?(n.push(\"switch(m){\"),f=n):n.push(\"switch(m>>>7){\");for(var u=0;u<1<<(1<<r);++u){if(1<<(1<<r)>128&&u%128==0){h.length>0&&f.push(\"}}\");var d=\"vExtra\"+h.length;n.push(\"case \",u>>>7,\":\",d,\"(m&0x7f,\",l.join(),\");break;\"),f=[\"function \",d,\"(m,\",l.join(),\"){switch(m){\"],h.push(f)}f.push(\"case \",127&u,\":\");for(var p=new Array(r),m=new Array(r),g=new Array(r),v=new Array(r),y=0,b=0;b<r;++b)p[b]=[],m[b]=[],g[b]=0,v[b]=0;for(var b=0;b<1<<r;++b)for(var x=0;x<r;++x){var _=b^1<<x;if(!(_>b)&&!(u&1<<_)!=!(u&1<<b)){var w=1;u&1<<_?m[x].push(\"v\"+_+\"-v\"+b):(m[x].push(\"v\"+b+\"-v\"+_),w=-w),w<0?(p[x].push(\"-v\"+b+\"-v\"+_),g[x]+=2):(p[x].push(\"v\"+b+\"+v\"+_),g[x]-=2),y+=1;for(var M=0;M<r;++M)M!==x&&(_&1<<M?v[M]+=1:v[M]-=1)}}for(var k=[],x=0;x<r;++x)if(0===p[x].length)k.push(\"d\"+x+\"-0.5\");else{var A=\"\";g[x]<0?A=g[x]+\"*c\":g[x]>0&&(A=\"+\"+g[x]+\"*c\");var T=p[x].length/y*.5,S=.5+v[x]/y*.5;k.push(\"d\"+x+\"-\"+S+\"-\"+T+\"*(\"+p[x].join(\"+\")+A+\")/(\"+m[x].join(\"+\")+\")\")}f.push(\"a.push([\",k.join(),\"]);\",\"break;\")}n.push(\"}},\"),h.length>0&&f.push(\"}}\");for(var E=[],u=0;u<1<<r-1;++u)E.push(\"v\"+u);E.push(\"c0\",\"c1\",\"p0\",\"p1\",\"a\",\"b\",\"c\"),n.push(\"cell:function cellFunc(\",E.join(),\"){\");var L=s(r-1);n.push(\"if(p0){b.push(\",L.map(function(t){return\"[\"+t.map(function(t){return\"v\"+t})+\"]\"}).join(),\")}else{b.push(\",L.map(function(t){var e=t.slice();return e.reverse(),\"[\"+e.map(function(t){return\"v\"+t})+\"]\"}).join(),\")}}});function \",i,\"(array,level){var verts=[],cells=[];contour(array,verts,cells,level);return {positions:verts,cells:cells};} return \",i,\";\");for(var u=0;u<h.length;++u)n.push(h[u].join(\"\"));return new Function(\"genContour\",n.join(\"\"))(o)}function i(t,e){for(var r=l(t,e),n=r.length,i=new Array(n),a=new Array(n),o=0;o<n;++o)i[o]=[r[o]],a[o]=[o];return{positions:i,cells:a}}function a(t,e){if(t.dimension<=0)return{positions:[],cells:[]};if(1===t.dimension)return i(t,e);var r=t.order.join()+\"-\"+t.dtype,a=u[r],e=+e||0;return a||(a=u[r]=n(t.order,t.dtype)),a(t,e)}e.exports=a;var o=t(\"ndarray-extract-contour\"),s=t(\"triangulate-hypercube\"),l=t(\"zero-crossings\"),u={}},{\"ndarray-extract-contour\":438,\"triangulate-hypercube\":517,\"zero-crossings\":564}],512:[function(t,e,r){(function(r){\"use strict\";function n(t){for(var e=t.cells,r=t.positions,n=new Float32Array(6*e.length),i=0,a=0,o=0;o<e.length;++o)for(var s=e[o],l=0;l<3;++l){var u=r[s[l]];n[i++]=u[0],n[i++]=u[1]+1.4,a=Math.max(u[0],a)}return{data:n,shape:a}}function i(t,e,r){var r=r||{},o=s[t];o||(o=s[t]={\" \":{data:new Float32Array(0),shape:.2}});var l=o[e];if(!l)if(e.length<=1||!/\\d/.test(e))l=o[e]=n(a(e,{triangles:!0,font:t,textAlign:r.textAlign||\"left\",textBaseline:\"alphabetic\"}));else{for(var u=e.split(/(\\d|\\s)/),c=new Array(u.length),h=0,f=0,d=0;d<u.length;++d)c[d]=i(t,u[d]),h+=c[d].data.length,f+=c[d].shape,d>0&&(f+=.02);for(var p=new Float32Array(h),m=0,g=-.5*f,d=0;d<c.length;++d){for(var v=c[d].data,y=0;y<v.length;y+=2)p[m++]=v[y]+g,p[m++]=v[y+1];g+=c[d].shape+.02}l=o[e]={data:p,shape:f}}return l}e.exports=i;var a=t(\"vectorize-text\"),o=window||r.global||{},s=o.__TEXT_CACHE||{};o.__TEXT_CACHE={}}).call(this,t(\"_process\"))},{_process:468,\"vectorize-text\":534}],513:[function(t,e,r){\"use strict\";function n(t,e,r,n,i){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||\"sans-serif\",this.radius=r||8;var a=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=a,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=t+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(a*a),this.gridInner=new Float64Array(a*a),this.f=new Float64Array(a),this.d=new Float64Array(a),this.z=new Float64Array(a+1),this.v=new Int16Array(a),this.middle=Math.round(a/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function i(t,e,r,n,i,o,s){for(var l=0;l<e;l++){for(var u=0;u<r;u++)n[u]=t[u*e+l];for(a(n,i,o,s,r),u=0;u<r;u++)t[u*e+l]=i[u]}for(u=0;u<r;u++){for(l=0;l<e;l++)n[l]=t[u*e+l];for(a(n,i,o,s,e),l=0;l<e;l++)t[u*e+l]=Math.sqrt(i[l])}}function a(t,e,r,n,i){r[0]=0,n[0]=-o,n[1]=+o;for(var a=1,s=0;a<i;a++){for(var l=(t[a]+a*a-(t[r[s]]+r[s]*r[s]))/(2*a-2*r[s]);l<=n[s];)s--,l=(t[a]+a*a-(t[r[s]]+r[s]*r[s]))/(2*a-2*r[s]);s++,r[s]=a,n[s]=l,n[s+1]=+o}for(a=0,s=0;a<i;a++){for(;n[s+1]<a;)s++;e[a]=(a-r[s])*(a-r[s])+t[r[s]]}}e.exports=n;var o=1e20;n.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=e.data,n=0;n<this.size*this.size;n++){var a=r[4*n+3]/255;this.gridOuter[n]=1===a?0:0===a?o:Math.pow(Math.max(0,.5-a),2),this.gridInner[n]=1===a?o:0===a?0:Math.pow(Math.max(0,a-.5),2)}for(i(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),i(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var s=this.gridOuter[n]-this.gridInner[n],l=Math.max(0,Math.min(255,Math.round(255-255*(s/this.radius+this.cutoff))));r[4*n+0]=l,r[4*n+1]=l,r[4*n+2]=l,r[4*n+3]=255}return e}},{}],514:[function(e,r,n){!function(e){function 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e=this._validate(t,this.minMonth,this.minDay,i.local.invalidYear),t=e.year()+(e.year()<0?1:0);return t%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,i.local.invalidYear||i.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,i.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidDate);return t=n.year(),t<0&&t++,n.day()+30*(n.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return 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this._validate(t,this.minMonth,this.minDay,i.local.invalidYear),13},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,i.local.invalidYear),400},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/8)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,i.local.invalidMonth);return this.daysPerMonth[r.month()-1]},daysInWeek:function(){return 8},dayOfWeek:function(t,e,r){return(this._validate(t,e,r,i.local.invalidDate).day()+1)%8},weekDay:function(t,e,r){var n=this.dayOfWeek(t,e,r);return n>=2&&n<=6},extraInfo:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidDate);return{century:o[Math.floor((n.year()-1)/100)+1]||\"\"}},toJD:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidDate);return t=n.year()+(n.year()<0?1:0),e=n.month(),(r=n.day())+(e>1?16:0)+(e>2?32*(e-2):0)+400*(t-1)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t+.5)-Math.floor(this.jdEpoch)-1;var e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};i.calendars.discworld=n},{\"../main\":561,\"object-assign\":452}],550:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}var i=t(\"../main\"),a=t(\"object-assign\");n.prototype=new 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this._validate(t,this.minMonth,this.minDay,i.local.invalidYear||i.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,i.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidDate);return t=n.year(),t<0&&t++,n.day()+30*(n.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return this.newDate(r,n,i)}}),i.calendars.ethiopian=n},{\"../main\":561,\"object-assign\":452}],551:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function i(t,e){return t-e*Math.floor(t/e)}var a=t(\"../main\"),o=t(\"object-assign\");n.prototype=new a.baseCalendar,o(n.prototype,{name:\"Hebrew\",jdEpoch:347995.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29,29],hasYearZero:!1,minMonth:1,firstMonth:7,minDay:1,regionalOptions:{\"\":{name:\"Hebrew\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Nisan\",\"Iyar\",\"Sivan\",\"Tammuz\",\"Av\",\"Elul\",\"Tishrei\",\"Cheshvan\",\"Kislev\",\"Tevet\",\"Shevat\",\"Adar\",\"Adar II\"],monthNamesShort:[\"Nis\",\"Iya\",\"Siv\",\"Tam\",\"Av\",\"Elu\",\"Tis\",\"Che\",\"Kis\",\"Tev\",\"She\",\"Ada\",\"Ad2\"],dayNames:[\"Yom Rishon\",\"Yom Sheni\",\"Yom Shlishi\",\"Yom Revi'i\",\"Yom Chamishi\",\"Yom Shishi\",\"Yom 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       ";return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return t=this._validate(t,this.minMonth,this.minDay,a.local.invalidYear).year(),this.toJD(t===-1?1:t+1,7,1)-this.toJD(t,7,1)},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,a.local.invalidMonth),12===e&&this.leapYear(t)?30:8===e&&5===i(this.daysInYear(t),10)?30:9===e&&3===i(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var n=this._validate(t,e,r,a.local.invalidDate);return{yearType:(this.leapYear(n)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(n)%10-3]}},toJD:function(t,e,r){var n=this._validate(t,e,r,a.local.invalidDate);t=n.year(),e=n.month(),r=n.day();var i=t<=0?t+1:t,o=this.jdEpoch+this._delay1(i)+this._delay2(i)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(var s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(var s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return i(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(e===-1?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),a.calendars.hebrew=n},{\"../main\":561,\"object-assign\":452}],552:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}var i=t(\"../main\"),a=t(\"object-assign\");n.prototype=new i.baseCalendar,a(n.prototype,{name:\"Islamic\",jdEpoch:1948439.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Islamic\",epochs:[\"BH\",\"AH\"],monthNames:[\"Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' al-thani\",\"Jumada al-awwal\",\"Jumada al-thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-ahad\",\"Yawm al-ithnayn\",\"Yawm ath-thulaathaa'\",\"Yawm al-arbi'aa'\",\"Yawm al-kham\\u012bs\",\"Yawm al-jum'a\",\"Yawm as-sabt\"],dayNamesShort:[\"Aha\",\"Ith\",\"Thu\",\"Arb\",\"Kha\",\"Jum\",\"Sab\"],dayNamesMin:[\"Ah\",\"It\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!1}},leapYear:function(t){return(11*this._validate(t,this.minMonth,this.minDay,i.local.invalidYear).year()+14)%30<11},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return this.leapYear(t)?355:354},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,i.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidDate);return t=n.year(),e=n.month(),r=n.day(),t=t<=0?t+1:t,r+Math.ceil(29.5*(e-1))+354*(t-1)+Math.floor((3+11*t)/30)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t)+.5;var e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),i.calendars.islamic=n},{\"../main\":561,\"object-assign\":452}],553:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}var i=t(\"../main\"),a=t(\"object-assign\");n.prototype=new i.baseCalendar,a(n.prototype,{name:\"Julian\",jdEpoch:1721423.5,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Julian\",epochs:[\"BC\",\"AD\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"mm/dd/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,i.local.invalidYear),t=e.year()<0?e.year()+1:e.year();return t%4==0},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,i.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidDate);return t=n.year(),e=n.month(),r=n.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5),r=e+1524,n=Math.floor((r-122.1)/365.25),i=Math.floor(365.25*n),a=Math.floor((r-i)/30.6001),o=a-Math.floor(a<14?1:13),s=n-Math.floor(o>2?4716:4715),l=r-i-Math.floor(30.6001*a);return s<=0&&s--,this.newDate(s,o,l)}}),i.calendars.julian=n},{\"../main\":561,\"object-assign\":452}],554:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function i(t,e){return t-e*Math.floor(t/e)}function a(t,e){return 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this._validate(t,this.minMonth,this.minDay,o.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,o.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if(t=t.split(\".\"),t.length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,o.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,o.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,o.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,o.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,o.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,o.local.invalidDate),!0},extraInfo:function(t,e,r){var n=this._validate(t,e,r,o.local.invalidDate),i=n.toJD(),a=this._toHaab(i),s=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[s[0]-1],tzolkinDay:s[0],tzolkinTrecena:s[1]}},_toHaab:function(t){t-=this.jdEpoch;var e=i(t+8+340,365);return[Math.floor(e/20)+1,i(e,20)]},_toTzolkin:function(t){return t-=this.jdEpoch,[a(t+20,20),a(t+4,13)]},toJD:function(t,e,r){var n=this._validate(t,e,r,o.local.invalidDate);return n.day()+20*n.month()+360*n.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),o.calendars.mayan=n},{\"../main\":561,\"object-assign\":452}],555:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}var i=t(\"../main\"),a=t(\"object-assign\");n.prototype=new i.baseCalendar;var o=i.instance(\"gregorian\");a(n.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,i.local.invalidYear||i.regionalOptions[\"\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,i.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidMonth),t=n.year();t<0&&t++;for(var a=n.day(),s=1;s<n.month();s++)a+=this.daysPerMonth[s-1];return a+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return 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n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,i.local.invalidYear).year(),void 0===this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,i.local.invalidMonth),void 0===this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidDate);t=n.year(),e=n.month(),r=n.day();var a=i.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var u=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(u)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(u,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=i.instance(),r=e.fromJD(t),n=r.year(),a=r.dayOfYear(),o=n+56;this._createMissingCalendarData(o);for(var s=9,l=this.NEPALI_CALENDAR_DATA[o][0],u=this.NEPALI_CALENDAR_DATA[o][s]-l+1;a>u;)s++,s>12&&(s=1,o++),u+=this.NEPALI_CALENDAR_DATA[o][s];var c=this.NEPALI_CALENDAR_DATA[o][s]-(u-a);return this.newDate(o,s,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 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e=this._validate(t,this.minMonth,this.minDay,a.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,a.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var n=this._validate(t,e,r,a.local.invalidDate);t=n.year(),e=n.month(),r=n.day();var o=t-(t>=0?474:473),s=474+i(o,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(o/2820)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t)+.5;var e=t-this.toJD(475,1,1),r=Math.floor(e/1029983),n=i(e,1029983),a=2820;if(1029982!==n){var o=Math.floor(n/366),s=i(n,366);a=Math.floor((2134*o+2816*s+2815)/1028522)+o+1}var l=a+2820*r+474;l=l<=0?l-1:l;var 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i=t(\"../main\"),a=t(\"object-assign\"),o=i.instance();n.prototype=new i.baseCalendar,a(n.prototype,{name:\"Thai\",jdEpoch:1523098.5,yearsOffset:543,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Thai\",epochs:[\"BBE\",\"BE\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,i.local.invalidYear),t=this._t2gYear(e.year());return 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i=t(\"../main\"),a=t(\"object-assign\");n.prototype=new i.baseCalendar,a(n.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thal\\u0101th\\u0101\\u2019\",\"Yawm al-Arba\\u2018\\u0101\\u2019\",\"Yawm al-Kham\\u012bs\",\"Yawm al-Jum\\u2018a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,i.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,i.local.invalidMonth),n=r.toJD()-24e5+.5,a=0,s=0;s<o.length;s++){if(o[s]>n)return o[a]-o[a-1];a++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidDate),a=12*(n.year()-1)+n.month()-15292;return n.day()+o[a-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;n<o.length&&!(o[n]>e);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),s=a+1,l=i-12*a,u=e-o[r-1]+1;return this.newDate(s,l,u)},isValid:function(t,e,r){var n=i.baseCalendar.prototype.isValid.apply(this,arguments);return n&&(t=null!=t.year?t.year:t,n=t>=1276&&t<=1500),n},_validate:function(t,e,r,n){var a=i.baseCalendar.prototype._validate.apply(this,arguments);if(a.year<1276||a.year>1500)throw n.replace(/\\{0\\}/,this.local.name);return a}}),i.calendars.ummalqura=n\n",
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n(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function i(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function a(t,e){return t=\"\"+t,\"000000\".substring(0,e-t.length)+t}function o(){this.shortYearCutoff=\"+10\"}function s(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}var l=t(\"object-assign\");l(n.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance(),n.newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,function(e){return t[e]})}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),l(i.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(u.local.differentCalendars||u.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+a(Math.abs(this.year()),4)+\"-\"+a(this.month(),2)+\"-\"+a(this.day(),2)}}),l(o.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new i(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+a(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0),i=t.day();\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(!function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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i=Math.min(r,n),a=Math.max(r,n);i!==a?(f[e]=i,f[e+2]=a,u.dataBox=f,t.setRanges(f)):(t.selectBox.selectBox=[0,0,1,1],t.glplot.setDirty())}var c,h,f=t.calcDataBox(),d=l.viewBox,p=u.lastPos[0],m=u.lastPos[1],g=s.MINDRAG*l.pixelRatio,v=s.MINZOOM*l.pixelRatio;switch(i*=l.pixelRatio,a*=l.pixelRatio,a=d[3]-d[1]-a,t.fullLayout.dragmode){case\"zoom\":if(n){var y=i/(d[2]-d[0])*(f[2]-f[0])+f[0],b=a/(d[3]-d[1])*(f[3]-f[1])+f[1];u.boxInited||(u.boxStart[0]=y,u.boxStart[1]=b,u.dragStart[0]=i,u.dragStart[1]=a),u.boxEnd[0]=y,u.boxEnd[1]=b,u.boxInited=!0,u.boxEnabled||u.boxStart[0]===u.boxEnd[0]&&u.boxStart[1]===u.boxEnd[1]||(u.boxEnabled=!0);var x=Math.abs(u.dragStart[0]-i)<v,_=Math.abs(u.dragStart[1]-a)<v;if(!r()||x&&_)x&&(u.boxEnd[0]=u.boxStart[0]),_&&(u.boxEnd[1]=u.boxStart[1]);else{c=u.boxEnd[0]-u.boxStart[0],h=u.boxEnd[1]-u.boxStart[1];var w=(f[3]-f[1])/(f[2]-f[0]);Math.abs(c*w)>Math.abs(h)?(u.boxEnd[1]=u.boxStart[1]+Math.abs(c)*w*(Math.sign(h)||1),u.boxEnd[1]<f[1]?(u.boxEnd[1]=f[1],u.boxEnd[0]=u.boxStart[0]+(f[1]-u.boxStart[1])/Math.abs(w)):u.boxEnd[1]>f[3]&&(u.boxEnd[1]=f[3],u.boxEnd[0]=u.boxStart[0]+(f[3]-u.boxStart[1])/Math.abs(w))):(u.boxEnd[0]=u.boxStart[0]+Math.abs(h)/w*(Math.sign(c)||1),u.boxEnd[0]<f[0]?(u.boxEnd[0]=f[0],u.boxEnd[1]=u.boxStart[1]+(f[0]-u.boxStart[0])*Math.abs(w)):u.boxEnd[0]>f[2]&&(u.boxEnd[0]=f[2],u.boxEnd[1]=u.boxStart[1]+(f[2]-u.boxStart[0])*Math.abs(w)))}}else u.boxEnabled&&(c=u.boxStart[0]!==u.boxEnd[0],h=u.boxStart[1]!==u.boxEnd[1],c||h?(c&&(o(0,u.boxStart[0],u.boxEnd[0]),t.xaxis.autorange=!1),h&&(o(1,u.boxStart[1],u.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),u.boxEnabled=!1,u.boxInited=!1);break;case\"pan\":u.boxEnabled=!1,u.boxInited=!1,n?(u.panning||(u.dragStart[0]=i,u.dragStart[1]=a),Math.abs(u.dragStart[0]-i)<g&&(i=u.dragStart[0]),Math.abs(u.dragStart[1]-a)<g&&(a=u.dragStart[1]),c=(p-i)*(f[2]-f[0])/(l.viewBox[2]-l.viewBox[0]),h=(m-a)*(f[3]-f[1])/(l.viewBox[3]-l.viewBox[1]),f[0]+=c,f[2]+=c,f[1]+=h,f[3]+=h,t.setRanges(f),u.panning=!0,u.lastInputTime=Date.now(),e(),t.cameraChanged(),t.handleAnnotations()):u.panning&&(u.panning=!1,t.relayoutCallback())}u.lastPos[0]=i,u.lastPos[1]=a}),u.wheelListener=o(i,function(r,n){var i=t.calcDataBox(),a=l.viewBox,o=u.lastPos[0],s=u.lastPos[1];switch(t.fullLayout.dragmode){case\"zoom\":break;case\"pan\":var c=Math.exp(.1*n/(a[3]-a[1])),h=o/(a[2]-a[0])*(i[2]-i[0])+i[0],f=s/(a[3]-a[1])*(i[3]-i[1])+i[1];i[0]=(i[0]-h)*c+h,i[2]=(i[2]-h)*c+h,i[1]=(i[1]-f)*c+f,i[3]=(i[3]-f)*c+f,t.setRanges(i),u.lastInputTime=Date.now(),e(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback()}return!0}),u}var a=t(\"mouse-change\"),o=t(\"mouse-wheel\"),s=t(\"../cartesian/constants\");e.exports=i},{\"../cartesian/constants\":729,\"mouse-change\":434,\"mouse-wheel\":437}],763:[function(t,e,r){\"use strict\";function n(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=[\"x\",\"y\"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=[\"sans-serif\",\"sans-serif\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title=\"\",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont=\"sans-serif\",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}function i(t){return new n(t)}var a=t(\"../plots\"),o=t(\"../cartesian/axes\"),s=t(\"../../lib/html2unicode\"),l=t(\"../../lib/str2rgbarray\"),u=n.prototype,c=[\"xaxis\",\"yaxis\"];u.merge=function(t){this.titleEnable=!1,this.backgroundColor=l(t.plot_bgcolor);var e,r,n,i,a,o,u,h,f,d,p;for(d=0;d<2;++d){for(e=c[d],r=t[this.scene[e]._name],n=/Click to enter .+ title/.test(r.title)?\"\":r.title,p=0;p<=2;p+=2)this.labelEnable[d+p]=!1,this.labels[d+p]=s(n),this.labelColor[d+p]=l(r.titlefont.color),this.labelFont[d+p]=r.titlefont.family,this.labelSize[d+p]=r.titlefont.size,this.labelPad[d+p]=this.getLabelPad(e,r),this.tickEnable[d+p]=!1,this.tickColor[d+p]=l((r.tickfont||{}).color),this.tickAngle[d+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[d+p]=this.getTickPad(r),this.tickMarkLength[d+p]=0,this.tickMarkWidth[d+p]=r.tickwidth||0,this.tickMarkColor[d+p]=l(r.tickcolor),this.borderLineEnable[d+p]=!1,this.borderLineColor[d+p]=l(r.linecolor),this.borderLineWidth[d+p]=r.linewidth||0;u=this.hasSharedAxis(r),a=this.hasAxisInDfltPos(e,r)&&!u,o=this.hasAxisInAltrPos(e,r)&&!u,i=r.mirror||!1,h=u?String(i).indexOf(\"all\")!==-1:!!i,f=u?\"allticks\"===i:String(i).indexOf(\"ticks\")!==-1,a?this.labelEnable[d]=!0:o&&(this.labelEnable[d+2]=!0),a?this.tickEnable[d]=r.showticklabels:o&&(this.tickEnable[d+2]=r.showticklabels),(a||h)&&(this.borderLineEnable[d]=r.showline),(o||h)&&(this.borderLineEnable[d+2]=r.showline),(a||f)&&(this.tickMarkLength[d]=this.getTickMarkLength(r)),(o||f)&&(this.tickMarkLength[d+2]=this.getTickMarkLength(r)),this.gridLineEnable[d]=r.showgrid,this.gridLineColor[d]=l(r.gridcolor),this.gridLineWidth[d]=r.gridwidth,this.zeroLineEnable[d]=r.zeroline,this.zeroLineColor[d]=l(r.zerolinecolor),this.zeroLineWidth[d]=r.zerolinewidth}},u.hasSharedAxis=function(t){var e=this.scene,r=a.getSubplotIds(e.fullLayout,\"gl2d\");return 0!==o.findSubplotsWithAxis(r,t).indexOf(e.id)},u.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},u.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},u.getLabelPad=function(t,e){var r=e.titlefont.size,n=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?r*(1.5+(n?1:0))-10:r*(1.5+(n?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+r*(1.5+(n?1:.5)):10+r*(1.5+(n?.5:0)):void 0},u.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},u.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},e.exports=i},{\"../../lib/html2unicode\":683,\"../../lib/str2rgbarray\":703,\"../cartesian/axes\":724,\"../plots\":787}],764:[function(t,e,r){\"use strict\";var n=t(\"./scene2d\"),i=t(\"../plots\"),a=t(\"../../constants/xmlns_namespaces\");r.name=\"gl2d\",r.attr=[\"xaxis\",\"yaxis\"],r.idRoot=[\"x\",\"y\"],r.idRegex={x:/^x([2-9]|[1-9][0-9]+)?$/,y:/^y([2-9]|[1-9][0-9]+)?$/},r.attrRegex={x:/^xaxis([2-9]|[1-9][0-9]+)?$/,y:/^yaxis([2-9]|[1-9][0-9]+)?$/},r.attributes=t(\"../cartesian/attributes\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,a=i.getSubplotIds(e,\"gl2d\"),o=0;o<a.length;o++){var s=a[o],l=e._plots[s],u=i.getSubplotData(r,\"gl2d\",s),c=l._scene2d;void 0===c&&(c=new n({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),l._scene2d=c),c.plot(u,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var a=i.getSubplotIds(n,\"gl2d\"),o=0;o<a.length;o++){var s=a[o],l=n._plots[s];if(l._scene2d){0===i.getSubplotData(t,\"gl2d\",s).length&&(l._scene2d.destroy(),delete n._plots[s])}}},r.toSVG=function(t){for(var e=t._fullLayout,r=i.getSubplotIds(e,\"gl2d\"),n=0;n<r.length;n++){var o=e._plots[r[n]],s=o._scene2d,l=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:a.svg,\"xlink:href\":l,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),s.destroy()}}},{\"../../constants/xmlns_namespaces\":668,\"../cartesian/attributes\":723,\"../plots\":787,\"./scene2d\":765}],765:[function(t,e,r){\"use strict\";function n(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.glplotOptions=p(this),this.glplotOptions.merge(e),this.glplot=c(this.glplotOptions),this.camera=m(this),this.traces={},this.spikes=h(this.glplot),this.selectBox=f(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.bounds=[1/0,1/0,-1/0,-1/0],this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw()}function i(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1}var a,o,s=t(\"../../registry\"),l=t(\"../../plots/cartesian/axes\"),u=t(\"../../plots/cartesian/graph_interact\"),c=t(\"gl-plot2d\"),h=t(\"gl-spikes2d\"),f=t(\"gl-select-box\"),d=t(\"webgl-context\"),p=t(\"./convert\"),m=t(\"./camera\"),g=t(\"../../lib/html2unicode\"),v=t(\"../../lib/show_no_webgl_msg\"),y=t(\"../../plots/cartesian/constraints\"),b=[\"xaxis\",\"yaxis\"];e.exports=n;var x=n.prototype;x.makeFramework=function(){if(this.staticPlot){if(!(o||(a=document.createElement(\"canvas\"),o=d({canvas:a,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=a,this.gl=o}else{var t=document.createElement(\"canvas\"),e=d({canvas:t,premultipliedAlpha:!0});e||v(this),this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r),r.className+=\"user-select-none\";var n=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");n.style.position=\"absolute\",n.style.top=n.style.left=\"0px\",n.style.width=n.style.height=\"100%\",n.style[\"z-index\"]=20,n.style[\"pointer-events\"]=\"none\";var i=this.mouseContainer=document.createElement(\"div\");i.style.position=\"absolute\";var s=this.container;s.appendChild(r),s.appendChild(n),s.appendChild(i)},x.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(a),this.updateSize(this.canvas),this.glplot.setDirty(),this.glplot.draw();var e=this.glplot.gl,r=e.drawingBufferWidth,n=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var i=new Uint8Array(r*n*4);e.readPixels(0,0,r,n,e.RGBA,e.UNSIGNED_BYTE,i);for(var o=0,s=n-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var u=0;u<4;++u){var c=i[4*(r*o+l)+u];i[4*(r*o+l)+u]=i[4*(r*s+l)+u],i[4*(r*s+l)+u]=c}var h=document.createElement(\"canvas\");h.width=r,h.height=n;var f=h.getContext(\"2d\"),d=f.createImageData(r,n);d.data.set(i),f.putImageData(d,0,0);var p;switch(t){case\"jpeg\":p=h.toDataURL(\"image/jpeg\");break;case\"webp\":p=h.toDataURL(\"image/webp\");break;default:p=h.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(a),p},x.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),this.redraw&&this.redraw(),t},x.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale(),this.xaxis._length=this.glplot.viewBox[2]-this.glplot.viewBox[0],this.yaxis._length=this.glplot.viewBox[3]-this.glplot.viewBox[1];for(var t=[l.calcTicks(this.xaxis),l.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=g(t[e][r].text+\"\");return t},x.updateRefs=function(t){this.fullLayout=t;var e=l.subplotMatch,r=\"xaxis\"+this.id.match(e)[1],n=\"yaxis\"+this.id.match(e)[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},x.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout;n.xaxis.autorange=e.autorange,n.xaxis.range=e.range.slice(0),n.yaxis.autorange=r.autorange,n.yaxis.range=r.range.slice(0);var i={lastInputTime:this.camera.lastInputTime};i[e._name]=e.range.slice(0),i[r._name]=r.range.slice(0),t.emit(\"plotly_relayout\",i)},x.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();i(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},x.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&s.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},x.destroy=function(){var t=this.traces;t&&Object.keys(t).map(function(e){t[e].dispose(),delete t[e]}),this.glplot.dispose(),this.staticPlot||this.container.removeChild(this.canvas),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0},x.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.updateTraces(t,e);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s=r._size,u=this.xaxis.domain,c=this.yaxis.domain;o.viewBox=[s.l+u[0]*s.w,s.b+c[0]*s.h,i-s.r-(1-u[1])*s.w,a-s.t-(1-c[1])*s.h],this.mouseContainer.style.width=s.w*(u[1]-u[0])+\"px\",this.mouseContainer.style.height=s.h*(c[1]-c[0])+\"px\",this.mouseContainer.height=s.h*(c[1]-c[0]),this.mouseContainer.style.left=s.l+u[0]*s.w+\"px\",this.mouseContainer.style.top=s.t+(1-c[1])*s.h+\"px\";var h=this.bounds;h[0]=h[1]=1/0,h[2]=h[3]=-1/0;var f,d,p=Object.keys(this.traces);for(d=0;d<p.length;++d)for(var m=this.traces[p[d]],g=0;g<2;++g)h[g]=Math.min(h[g],m.bounds[g]),h[g+2]=Math.max(h[g+2],m.bounds[g+2]);for(d=0;d<2;++d)h[d]>h[d+2]&&(h[d]=-1,h[d+2]=1),f=this[b[d]],f._length=o.viewBox[d+2]-o.viewBox[d],l.doAutoRange(f),f.setScale();var v={_axisConstraintGroups:this.graphDiv._fullLayout._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis};y({_fullLayout:v}),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},x.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},x.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},x.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if(i=t[n],i.uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],u=this.traces[i.uid];u?u.update(i,l):(u=i._module.plot(this,i,l),this.traces[i.uid]=u)}this.glplot.objects.sort(function(t,e){return t._trace.index-e._trace.index})},x.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=0;i<this.fullData.length;i++)this.fullData[i].uid===n&&(r=this.fullData[i]);this.graphDiv.emit(e,{points:[{x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:t.pointIndex,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis}]})},x.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,s=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var l=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],c=0;c<2;c++)e.boxStart[c]===e.boxEnd[c]&&(l[c]=t.dataBox[c],l[c+2]=t.dataBox[c+2]);t.setDirty()}else if(!e.panning){this.selectBox.enabled=!1;var h=i._size,f=this.xaxis.domain,d=this.yaxis.domain;a=t.pick(o/t.pixelRatio+h.l+f[0]*h.w,s/t.pixelRatio-(h.t+(1-d[1])*h.h));var p=a&&a.object._trace.handlePick(a);if(p&&n&&this.emitPointAction(p,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&p&&(!this.lastPickResult||this.lastPickResult.traceUid!==p.trace.uid||this.lastPickResult.dataCoord[0]!==p.dataCoord[0]||this.lastPickResult.dataCoord[1]!==p.dataCoord[1])){var m=p;this.lastPickResult={traceUid:p.trace?p.trace.uid:null,dataCoord:p.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),m.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(p,\"plotly_hover\");var g=m.hoverinfo;if(\"all\"!==g){var v=g.split(\"+\");v.indexOf(\"x\")===-1&&(m.traceCoord[0]=void 0),v.indexOf(\"y\")===-1&&(m.traceCoord[1]=void 0),v.indexOf(\"z\")===-1&&(m.traceCoord[2]=void 0),v.indexOf(\"text\")===-1&&(m.textLabel=void 0),v.indexOf(\"name\")===-1&&(m.name=void 0)}u.loneHover({x:m.screenCoord[0],y:m.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",m.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",m.traceCoord[1]),zLabel:m.traceCoord[2],text:m.textLabel,name:m.name,color:m.color},{container:this.svgContainer})}}!a&&this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),u.loneUnhover(this.svgContainer)),t.draw()}},x.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return l.tickText(r,r.c2l(e),\"hover\").text}}},{\"../../lib/html2unicode\":683,\"../../lib/show_no_webgl_msg\":701,\"../../plots/cartesian/axes\":724,\"../../plots/cartesian/constraints\":731,\"../../plots/cartesian/graph_interact\":733,\"../../registry\":802,\"./camera\":762,\"./convert\":763,\"gl-plot2d\":203,\"gl-select-box\":237,\"gl-spikes2d\":246,\"webgl-context\":543}],766:[function(t,e,r){\"use strict\";function n(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];\"distanceLimits\"in e&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]),\"zoomMin\"in e&&(r[0]=e.zoomMin),\"zoomMax\"in e&&(r[1]=e.zoomMax);var n=a({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),l=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],u=0,c=t.clientWidth,h=t.clientHeight,f={keyBindingMode:\"rotate\",view:n,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:n.modes,tick:function(){var e=i(),r=this.delay,a=e-2*r;n.idle(e-r),n.recalcMatrix(a),n.flush(e-(100+2*r));for(var o=!0,s=n.computedMatrix,f=0;f<16;++f)o=o&&l[f]===s[f],l[f]=s[f];var d=t.clientWidth===c&&t.clientHeight===h;return c=t.clientWidth,h=t.clientHeight,o?!d:(u=Math.exp(n.computedRadius[0]),!0)},lookAt:function(t,e,r){n.lookAt(n.lastT(),t,e,r)},rotate:function(t,e,r){n.rotate(n.lastT(),t,e,r)},pan:function(t,e,r){n.pan(n.lastT(),t,e,r)},translate:function(t,e,r){n.translate(n.lastT(),t,e,r)}};Object.defineProperties(f,{matrix:{get:function(){return n.computedMatrix},set:function(t){return n.setMatrix(n.lastT(),t),n.computedMatrix},enumerable:!0},mode:{get:function(){return n.getMode()},set:function(t){var e=n.computedUp.slice(),r=n.computedEye.slice(),a=n.computedCenter.slice();if(n.setMode(t),\"turntable\"===t){var o=i();n._active.lookAt(o,r,a,e),n._active.lookAt(o+500,r,a,[0,0,1]),n._active.flush(o)}return n.getMode()},enumerable:!0},center:{get:function(){return n.computedCenter},set:function(t){return n.lookAt(n.lastT(),null,t),n.computedCenter},enumerable:!0},eye:{get:function(){return n.computedEye},set:function(t){return n.lookAt(n.lastT(),t),n.computedEye},enumerable:!0},up:{get:function(){return n.computedUp},set:function(t){return n.lookAt(n.lastT(),null,null,t),n.computedUp},enumerable:!0},distance:{get:function(){return u},set:function(t){return n.setDistance(n.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return n.getDistanceLimits(r)},set:function(t){return n.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",function(t){return t.preventDefault(),!1});var d=0,p=0;return o(t,function(e,r,a,o){var s=f.keyBindingMode;if(s!==!1){var l=\"rotate\"===s,c=\"pan\"===s,h=\"zoom\"===s,m=!!o.control,g=!!o.alt,v=!!o.shift,y=!!(1&e),b=!!(2&e),x=!!(4&e),_=1/t.clientHeight,w=_*(r-d),M=_*(a-p),k=f.flipX?1:-1,A=f.flipY?1:-1,T=i(),S=Math.PI*f.rotateSpeed;if((l&&y&&!m&&!g&&!v||y&&!m&&!g&&v)&&n.rotate(T,k*S*w,-A*S*M,0),(c&&y&&!m&&!g&&!v||b||y&&m&&!g&&!v)&&n.pan(T,-f.translateSpeed*w*u,f.translateSpeed*M*u,0),h&&y&&!m&&!g&&!v||x||y&&!m&&g&&!v){var E=-f.zoomSpeed*M/window.innerHeight*(T-n.lastT())*100;n.pan(T,0,0,u*(Math.exp(E)-1))}return d=r,p=a,!0}}),s(t,function(t,e){if(f.keyBindingMode!==!1){var r=f.flipX?1:-1,a=f.flipY?1:-1,o=i();if(Math.abs(t)>Math.abs(e))n.rotate(o,0,0,-t*r*Math.PI*f.rotateSpeed/window.innerWidth);else{var s=-f.zoomSpeed*a*e/window.innerHeight*(o-n.lastT())/100;n.pan(o,0,0,u*(Math.exp(s)-1))}}},!0),f}e.exports=n;var i=t(\"right-now\"),a=t(\"3d-view\"),o=t(\"mouse-change\"),s=t(\"mouse-wheel\")},{\"3d-view\":33,\"mouse-change\":434,\"mouse-wheel\":437,\"right-now\":483}],767:[function(t,e,r){\"use strict\";var n=t(\"./scene\"),i=t(\"../plots\"),a=t(\"../../lib\"),o=t(\"../../constants/xmlns_namespaces\");r.name=\"gl3d\",r.attr=\"scene\",r.idRoot=\"scene\",r.idRegex=/^scene([2-9]|[1-9][0-9]+)?$/,r.attrRegex=/^scene([2-9]|[1-9][0-9]+)?$/,r.attributes=t(\"./layout/attributes\"),r.layoutAttributes=t(\"./layout/layout_attributes\"),r.supplyLayoutDefaults=t(\"./layout/defaults\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,o=i.getSubplotIds(e,\"gl3d\"),s=0;s<o.length;s++){var l=o[s],u=i.getSubplotData(r,\"gl3d\",l),c=e[l],h=c._scene;h||(h=new n({id:l,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),c._scene=h),h.cameraInitial||(h.cameraInitial=a.extendDeep({},c.camera)),h.plot(u,e,t.layout)}},r.clean=function(t,e,r,n){for(var a=i.getSubplotIds(n,\"gl3d\"),o=0;o<a.length;o++){var s=a[o];!e[s]&&n[s]._scene&&n[s]._scene.destroy()}},r.toSVG=function(t){for(var e=t._fullLayout,r=i.getSubplotIds(e,\"gl3d\"),n=e._size,a=0;a<r.length;a++){var s=e[r[a]],l=s.domain,u=s._scene,c=u.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":c,x:n.l+n.w*l.x[0],y:n.t+n.h*(1-l.y[1]),width:n.w*(l.x[1]-l.x[0]),height:n.h*(l.y[1]-l.y[0]),preserveAspectRatio:\"none\"}),u.destroy()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),\"scene\"+e}}},{\"../../constants/xmlns_namespaces\":668,\"../../lib\":685,\"../plots\":787,\"./layout/attributes\":768,\"./layout/defaults\":772,\"./layout/layout_attributes\":773,\"./scene\":777}],768:[function(t,e,r){\"use strict\";e.exports={scene:{\n",
       "valType:\"subplotid\",dflt:\"scene\"}}},{}],769:[function(t,e,r){\"use strict\";var n=t(\"../../../components/color\"),i=t(\"../../cartesian/layout_attributes\"),a=t(\"../../../lib/extend\").extendFlat;e.exports={visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:i.title,titlefont:i.titlefont,type:i.type,autorange:i.autorange,rangemode:i.rangemode,range:i.range,tickmode:i.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,separatethousands:i.separatethousands,tickformat:i.tickformat,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth}},{\"../../../components/color\":578,\"../../../lib/extend\":677,\"../../cartesian/layout_attributes\":735}],770:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,i=t(\"../../../lib\"),a=t(\"./axis_attributes\"),o=t(\"../../cartesian/type_defaults\"),s=t(\"../../cartesian/axis_defaults\"),l=[\"xaxis\",\"yaxis\",\"zaxis\"];e.exports=function(t,e,r){function u(t,e){return i.coerce(c,h,a,t,e)}for(var c,h,f=0;f<l.length;f++){var d=l[f];c=t[d]||{},h=e[d]={_id:d[0]+r.scene,_name:d},o(c,h,u,r.data),s(c,h,u,{font:r.font,letter:d[0],data:r.data,showGrid:!0,bgColor:r.bgColor,calendar:r.calendar}),u(\"gridcolor\",n(h.color,r.bgColor,13600/187).toRgbString()),u(\"title\",d[0]),h.setScale=i.noop,u(\"showspikes\")&&(u(\"spikesides\"),u(\"spikethickness\"),u(\"spikecolor\",h.color)),u(\"showaxeslabels\"),u(\"showbackground\")&&u(\"backgroundcolor\")}}},{\"../../../lib\":685,\"../../cartesian/axis_defaults\":726,\"../../cartesian/type_defaults\":746,\"./axis_attributes\":769,tinycolor2:514}],771:[function(t,e,r){\"use strict\";function n(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}function i(t){var e=new n;return e.merge(t),e}var a=t(\"../../../lib/html2unicode\"),o=t(\"../../../lib/str2rgbarray\"),s=[\"xaxis\",\"yaxis\",\"zaxis\"];n.prototype.merge=function(t){for(var e=this,r=0;r<3;++r){var n=t[s[r]];n.visible?(e.labels[r]=a(n.title),\"titlefont\"in n&&(n.titlefont.color&&(e.labelColor[r]=o(n.titlefont.color)),n.titlefont.family&&(e.labelFont[r]=n.titlefont.family),n.titlefont.size&&(e.labelSize[r]=n.titlefont.size)),\"showline\"in n&&(e.lineEnable[r]=n.showline),\"linecolor\"in n&&(e.lineColor[r]=o(n.linecolor)),\"linewidth\"in n&&(e.lineWidth[r]=n.linewidth),\"showgrid\"in n&&(e.gridEnable[r]=n.showgrid),\"gridcolor\"in n&&(e.gridColor[r]=o(n.gridcolor)),\"gridwidth\"in n&&(e.gridWidth[r]=n.gridwidth),\"log\"===n.type?e.zeroEnable[r]=!1:\"zeroline\"in n&&(e.zeroEnable[r]=n.zeroline),\"zerolinecolor\"in n&&(e.zeroLineColor[r]=o(n.zerolinecolor)),\"zerolinewidth\"in n&&(e.zeroLineWidth[r]=n.zerolinewidth),\"ticks\"in n&&n.ticks?e.lineTickEnable[r]=!0:e.lineTickEnable[r]=!1,\"ticklen\"in n&&(e.lineTickLength[r]=e._defaultLineTickLength[r]=n.ticklen),\"tickcolor\"in n&&(e.lineTickColor[r]=o(n.tickcolor)),\"tickwidth\"in n&&(e.lineTickWidth[r]=n.tickwidth),\"tickangle\"in n&&(e.tickAngle[r]=\"auto\"===n.tickangle?0:Math.PI*-n.tickangle/180),\"showticklabels\"in n&&(e.tickEnable[r]=n.showticklabels),\"tickfont\"in n&&(n.tickfont.color&&(e.tickColor[r]=o(n.tickfont.color)),n.tickfont.family&&(e.tickFont[r]=n.tickfont.family),n.tickfont.size&&(e.tickSize[r]=n.tickfont.size)),\"mirror\"in n?[\"ticks\",\"all\",\"allticks\"].indexOf(n.mirror)!==-1?(e.lineTickMirror[r]=!0,e.lineMirror[r]=!0):n.mirror===!0?(e.lineTickMirror[r]=!1,e.lineMirror[r]=!0):(e.lineTickMirror[r]=!1,e.lineMirror[r]=!1):e.lineMirror[r]=!1,\"showbackground\"in n&&n.showbackground!==!1?(e.backgroundEnable[r]=!0,e.backgroundColor[r]=o(n.backgroundcolor)):e.backgroundEnable[r]=!1):(e.tickEnable[r]=!1,e.labelEnable[r]=!1,e.lineEnable[r]=!1,e.lineTickEnable[r]=!1,e.gridEnable[r]=!1,e.zeroEnable[r]=!1,e.backgroundEnable[r]=!1)}},e.exports=i},{\"../../../lib/html2unicode\":683,\"../../../lib/str2rgbarray\":703}],772:[function(t,e,r){\"use strict\";function n(t,e,r,n){for(var i=r(\"bgcolor\"),o=a.combine(i,n.paper_bgcolor),u=Object.keys(s.camera),c=0;c<u.length;c++)r(\"camera.\"+u[c]+\".x\"),r(\"camera.\"+u[c]+\".y\"),r(\"camera.\"+u[c]+\".z\");var h=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),f=h?\"manual\":\"auto\",d=r(\"aspectmode\",f);h||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===d&&(e.aspectmode=\"auto\")),l(t,e,{font:n.font,scene:n.id,data:n.fullData,bgColor:o,calendar:n.calendar}),r(\"dragmode\",n.getDfltFromLayout(\"dragmode\")),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}var i=t(\"../../../lib\"),a=t(\"../../../components/color\"),o=t(\"../../subplot_defaults\"),s=t(\"./layout_attributes\"),l=t(\"./axis_defaults\");e.exports=function(t,e,r){function a(e){if(!l){return i.validate(t[e],s[e])?t[e]:void 0}}var l=e._basePlotModules.length>1;o(t,e,r,{type:\"gl3d\",attributes:s,handleDefaults:n,font:e.font,fullData:r,getDfltFromLayout:a,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{\"../../../components/color\":578,\"../../../lib\":685,\"../../subplot_defaults\":794,\"./axis_defaults\":770,\"./layout_attributes\":773}],773:[function(t,e,r){\"use strict\";function n(t,e,r){return{x:{valType:\"number\",dflt:t},y:{valType:\"number\",dflt:e},z:{valType:\"number\",dflt:r}}}var i=t(\"./axis_attributes\"),a=t(\"../../../lib/extend\").extendFlat;e.exports={bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\"},camera:{up:a(n(0,0,1),{}),center:a(n(0,0,0),{}),eye:a(n(1.25,1.25,1.25),{})},domain:{x:{valType:\"info_array\",items:[{valType:\"number\",min:0,max:1},{valType:\"number\",min:0,max:1}],dflt:[0,1]},y:{valType:\"info_array\",items:[{valType:\"number\",min:0,max:1},{valType:\"number\",min:0,max:1}],dflt:[0,1]}},aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\"},aspectratio:{x:{valType:\"number\",min:0},y:{valType:\"number\",min:0},z:{valType:\"number\",min:0}},xaxis:i,yaxis:i,zaxis:i,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],dflt:\"turntable\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\"},_deprecated:{cameraposition:{valType:\"info_array\"}}}},{\"../../../lib/extend\":677,\"./axis_attributes\":769}],774:[function(t,e,r){\"use strict\";function n(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}function i(t){var e=new n;return e.merge(t),e}var a=t(\"../../../lib/str2rgbarray\"),o=[\"xaxis\",\"yaxis\",\"zaxis\"];n.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[o[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=a(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=i},{\"../../../lib/str2rgbarray\":703}],775:[function(t,e,r){\"use strict\";function n(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}function i(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,i=t.fullSceneLayout,c=[[],[],[]],h=0;h<3;++h){var f=i[l[h]];if(f._length=(r[h].hi-r[h].lo)*r[h].pixelsPerDataUnit/t.dataScale[h],1/0===Math.abs(f._length))c[h]=[];else{f.range[0]=r[h].lo/t.dataScale[h],f.range[1]=r[h].hi/t.dataScale[h],f._m=1/(t.dataScale[h]*r[h].pixelsPerDataUnit),f.range[0]===f.range[1]&&(f.range[0]-=1,f.range[1]+=1);var d=f.tickmode;if(\"auto\"===f.tickmode){f.tickmode=\"linear\";var p=f.nticks||o.constrain(f._length/40,4,9);a.autoTicks(f,Math.abs(f.range[1]-f.range[0])/p)}for(var m=a.calcTicks(f),g=0;g<m.length;++g)m[g].x=m[g].x*t.dataScale[h],m[g].text=s(m[g].text);c[h]=m,f.tickmode=d}}e.ticks=c;for(var h=0;h<3;++h){u[h]=.5*(t.glplot.bounds[0][h]+t.glplot.bounds[1][h]);for(var g=0;g<2;++g)e.bounds[g][h]=t.glplot.bounds[g][h]}t.contourLevels=n(c)}e.exports=i;var a=t(\"../../cartesian/axes\"),o=t(\"../../../lib\"),s=t(\"../../../lib/html2unicode\"),l=[\"xaxis\",\"yaxis\",\"zaxis\"],u=[0,0,0]},{\"../../../lib\":685,\"../../../lib/html2unicode\":683,\"../../cartesian/axes\":724}],776:[function(t,e,r){\"use 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b=d.split(\"+\");b.indexOf(\"x\")===-1&&(p=void 0),b.indexOf(\"y\")===-1&&(v=void 0),b.indexOf(\"z\")===-1&&(y=void 0),b.indexOf(\"text\")===-1&&(u.textLabel=void 0),b.indexOf(\"name\")===-1&&(l.name=void 0)}t.fullSceneLayout.hovermode&&g.loneHover({x:(.5+.5*f[0]/f[3])*a,y:(.5-.5*f[1]/f[3])*o,xLabel:p,yLabel:v,zLabel:y,text:u.textLabel,name:l.name,color:l.color},{container:n});var _={points:[{x:p,y:v,z:y,data:r._input,fullData:r,curveNumber:r.index,pointNumber:u.data.index}]};u.buttons&&u.distance<5?t.graphDiv.emit(\"plotly_click\",_):t.graphDiv.emit(\"plotly_hover\",_),h=_}else g.loneUnhover(n),t.graphDiv.emit(\"plotly_unhover\",h)}function i(t,e,r,i){var a={canvas:r,gl:i,container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1};if(t.staticMode){if(!(h||(c=document.createElement(\"canvas\"),h=d({canvas:c,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for 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a=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\",r.appendChild(a),this.svgContainer=a,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=_(e[this.id]),this.spikeOptions=w(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],i(this,e)}function o(t,e,r,n,i){for(var a,o=0;o<e.length;++o)if(Array.isArray(e[o]))for(var s=0;s<e[o].length;++s)a=t.d2l(e[o][s],0,i),!isNaN(a)&&isFinite(a)&&(n[0][r]=Math.min(n[0][r],a),n[1][r]=Math.max(n[1][r],a));else a=t.d2l(e[o],0,i),!isNaN(a)&&isFinite(a)&&(n[0][r]=Math.min(n[0][r],a),n[1][r]=Math.max(n[1][r],a))}function s(t,e,r){var n=t.fullSceneLayout;o(n.xaxis,e.x,0,r,e.xcalendar),o(n.yaxis,e.y,1,r,e.ycalendar),o(n.zaxis,e.z,2,r,e.zcalendar)}function l(t){return[[t.eye.x,t.eye.y,t.eye.z],[t.center.x,t.center.y,t.center.z],[t.up.x,t.up.y,t.up.z]]}function u(t){return{up:{x:t.up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]}}}var c,h,f=t(\"gl-plot3d\"),d=t(\"webgl-context\"),p=t(\"../../lib\"),m=t(\"../../plots/cartesian/axes\"),g=t(\"../../plots/cartesian/graph_interact\"),v=t(\"../../lib/str2rgbarray\"),y=t(\"../../lib/show_no_webgl_msg\"),b=t(\"./camera\"),x=t(\"./project\"),_=t(\"./layout/convert\"),w=t(\"./layout/spikes\"),M=t(\"./layout/tick_marks\"),k=a.prototype;k.recoverContext=function(){function t(){return r.isContextLost()?void requestAnimationFrame(t):i(e,e.fullLayout,n,r)?void e.plot.apply(e,e.plotArgs):void 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Context lost.\")}var e=this,r=this.glplot.gl,n=this.glplot.canvas;this.glplot.dispose(),requestAnimationFrame(t)};var A=[\"xaxis\",\"yaxis\",\"zaxis\"];k.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,i,a,o,l,u,c=e[this.id],h=r[this.id];c.bgcolor?this.glplot.clearColor=v(c.bgcolor):this.glplot.clearColor=[0,0,0,0],this.glplot.snapToData=!0,this.fullLayout=e,this.fullSceneLayout=c,this.glplotLayout=c,this.axesOptions.merge(c),this.spikeOptions.merge(c),this.setCamera(c.camera),this.updateFx(c.dragmode,c.hovermode),this.glplot.update({}),this.setConvert(l),t?Array.isArray(t)||(t=[t]):t=[];var f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(a=0;a<t.length;++a)n=t[a],n.visible===!0&&s(this,n,f);var d=[1,1,1];for(o=0;o<3;++o)f[0][o]>f[1][o]?d[o]=1:f[1][o]===f[0][o]?d[o]=1:d[o]=1/(f[1][o]-f[0][o]);for(this.dataScale=d,a=0;a<t.length;++a)n=t[a],n.visible===!0&&(i=this.traces[n.uid],i?i.update(n):(i=n._module.plot(this,n),this.traces[n.uid]=i),i.name=n.name);var p=Object.keys(this.traces);t:for(a=0;a<p.length;++a){for(o=0;o<t.length;++o)if(t[o].uid===p[a]&&t[o].visible===!0)continue t;i=this.traces[p[a]],i.dispose(),delete this.traces[p[a]]}this.glplot.objects.sort(function(t,e){return t._trace.data.index-e._trace.data.index});var m=[[0,0,0],[0,0,0]],g=[],y={};for(a=0;a<3;++a){if(l=c[A[a]],u=l.type,u in y?(y[u].acc*=d[a],y[u].count+=1):y[u]={acc:d[a],count:1},l.autorange){for(m[0][a]=1/0,m[1][a]=-1/0,o=0;o<this.glplot.objects.length;++o){var b=this.glplot.objects[o].bounds;m[0][a]=Math.min(m[0][a],b[0][a]/d[a]),m[1][a]=Math.max(m[1][a],b[1][a]/d[a])}if(\"rangemode\"in l&&\"tozero\"===l.rangemode&&(m[0][a]=Math.min(m[0][a],0),m[1][a]=Math.max(m[1][a],0)),m[0][a]>m[1][a])m[0][a]=-1,m[1][a]=1;else{var x=m[1][a]-m[0][a];m[0][a]-=x/32,m[1][a]+=x/32}}else{var _=c[A[a]].range;m[0][a]=_[0],m[1][a]=_[1]}m[0][a]===m[1][a]&&(m[0][a]-=1,m[1][a]+=1),g[a]=m[1][a]-m[0][a],this.glplot.bounds[0][a]=m[0][a]*d[a],this.glplot.bounds[1][a]=m[1][a]*d[a]}var w=[1,1,1];for(a=0;a<3;++a){l=c[A[a]],u=l.type;var M=y[u];w[a]=Math.pow(M.acc,1/M.count)/d[a]}var k;if(\"auto\"===c.aspectmode)k=Math.max.apply(null,w)/Math.min.apply(null,w)<=4?w:[1,1,1];else if(\"cube\"===c.aspectmode)k=[1,1,1];else if(\"data\"===c.aspectmode)k=w;else{if(\"manual\"!==c.aspectmode)throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");var T=c.aspectratio;k=[T.x,T.y,T.z]}c.aspectratio.x=h.aspectratio.x=k[0],c.aspectratio.y=h.aspectratio.y=k[1],c.aspectratio.z=h.aspectratio.z=k[2],this.glplot.aspect=k;var S=c.domain||null,E=e._size||null;if(S&&E){var L=this.container.style;L.position=\"absolute\",L.left=E.l+S.x[0]*E.w+\"px\",L.top=E.t+(1-S.y[1])*E.h+\"px\",L.width=E.w*(S.x[1]-S.x[0])+\"px\",L.height=E.h*(S.y[1]-S.y[0])+\"px\"}this.glplot.redraw()}},k.destroy=function(){this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null},k.getCamera=function(){return this.glplot.camera.view.recalcMatrix(this.camera.view.lastT()),u(this.glplot.camera)},k.setCamera=function(t){this.glplot.camera.lookAt.apply(this,l(t))},k.saveCamera=function(t){var e=this.getCamera(),r=p.nestedProperty(t,this.id+\".camera\"),n=r.get(),i=!1;if(void 0===n)i=!0;else for(var a=0;a<3;a++)for(var o=0;o<3;o++)if(!function(t,e,r,n){var i=[\"up\",\"center\",\"eye\"],a=[\"x\",\"y\",\"z\"];return e[i[r]]&&t[i[r]][a[n]]===e[i[r]][a[n]]}(e,n,a,o)){i=!0;break}return i&&r.set(e),i},k.updateFx=function(t,e){var r=this.camera;r&&(\"orbit\"===t?(r.mode=\"orbit\",r.keyBindingMode=\"rotate\"):\"turntable\"===t?(r.up=[0,0,1],r.mode=\"turntable\",r.keyBindingMode=\"rotate\"):r.keyBindingMode=t),this.fullSceneLayout.hovermode=e},k.toImage=function(t){t||(t=\"png\"),this.staticMode&&this.container.appendChild(c),this.glplot.redraw();var e=this.glplot.gl,r=e.drawingBufferWidth,n=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var i=new Uint8Array(r*n*4);e.readPixels(0,0,r,n,e.RGBA,e.UNSIGNED_BYTE,i);for(var a=0,o=n-1;a<o;++a,--o)for(var s=0;s<r;++s)for(var l=0;l<4;++l){var u=i[4*(r*a+s)+l];i[4*(r*a+s)+l]=i[4*(r*o+s)+l],i[4*(r*o+s)+l]=u}var h=document.createElement(\"canvas\");h.width=r,h.height=n;var f=h.getContext(\"2d\"),d=f.createImageData(r,n);d.data.set(i),f.putImageData(d,0,0);var p;switch(t){case\"jpeg\":p=h.toDataURL(\"image/jpeg\");break;case\"webp\":p=h.toDataURL(\"image/webp\");break;default:p=h.toDataURL(\"image/png\")}return this.staticMode&&this.container.removeChild(c),p},k.setConvert=function(){for(var t=0;t<3;++t){var e=this.fullSceneLayout[A[t]];m.setConvert(e,this.fullLayout),e.setScale=p.noop}},e.exports=a},{\"../../lib\":685,\"../../lib/show_no_webgl_msg\":701,\"../../lib/str2rgbarray\":703,\"../../plots/cartesian/axes\":724,\"../../plots/cartesian/graph_interact\":733,\"./camera\":766,\"./layout/convert\":771,\"./layout/spikes\":774,\"./layout/tick_marks\":775,\"./project\":776,\"gl-plot3d\":205,\"webgl-context\":543}],778:[function(t,e,r){\"use strict\";var n=t(\"../lib\"),i=n.extendFlat,a=t(\"./font_attributes\"),o=t(\"../components/color/attributes\");e.exports={font:{family:i({},a.family,{dflt:'\"Open Sans\", verdana, arial, sans-serif'}),size:i({},a.size,{dflt:12}),color:i({},a.color,{dflt:o.defaultLine})},title:{valType:\"string\",dflt:\"Click to enter Plot 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strict\";e.exports={styleUrlPrefix:\"mapbox://styles/mapbox/\",styleUrlSuffix:\"v9\",controlContainerClassName:\"mapboxgl-control-container\",noAccessTokenErrorMsg:[\"Missing Mapbox access token.\",\"Mapbox trace type require a Mapbox access token to be registered.\",\"For example:\",\"  Plotly.plot(gd, data, layout, { mapboxAccessToken: 'my-access-token' });\",\"More info here: https://www.mapbox.com/help/define-access-token/\"].join(\"\\n\"),mapOnErrorMsg:\"Mapbox error.\"}},{}],780:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){var r=t.split(\" \"),i=r[0],a=r[1],o=Array.isArray(e)?n.mean(e):e,s=.5+o/100,l=1.5+o/100,u=[\"\",\"\"],c=[0,0];switch(i){case\"top\":u[0]=\"top\",c[1]=-l;break;case\"bottom\":u[0]=\"bottom\",c[1]=l}switch(a){case\"left\":u[1]=\"right\",c[0]=-s;break;case\"right\":u[1]=\"left\",c[0]=s}var h;return h=u[0]&&u[1]?u.join(\"-\"):u[0]?u[0]:u[1]?u[1]:\"center\",{anchor:h,offset:c}}},{\"../../lib\":685}],781:[function(t,e,r){\"use 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s=a({},t.layout);if([[s,[\"plot_bgcolor\"],[\"backgroundColor\"]],[s,[\"showlegend\"],[\"showLegend\"]],[s,[\"radialaxis\"],[\"radialAxis\"]],[s,[\"angularaxis\"],[\"angularAxis\"]],[s.angularaxis,[\"showline\"],[\"gridLinesVisible\"]],[s.angularaxis,[\"showticklabels\"],[\"labelsVisible\"]],[s.angularaxis,[\"nticks\"],[\"ticksCount\"]],[s.angularaxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.angularaxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.angularaxis,[\"range\"],[\"domain\"]],[s.angularaxis,[\"endpadding\"],[\"endPadding\"]],[s.radialaxis,[\"showline\"],[\"gridLinesVisible\"]],[s.radialaxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.radialaxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.radialaxis,[\"range\"],[\"domain\"]],[s.angularAxis,[\"showline\"],[\"gridLinesVisible\"]],[s.angularAxis,[\"showticklabels\"],[\"labelsVisible\"]],[s.angularAxis,[\"nticks\"],[\"ticksCount\"]],[s.angularAxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.angularAxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.angularAxis,[\"range\"],[\"domain\"]],[s.angularAxis,[\"endpadding\"],[\"endPadding\"]],[s.radialAxis,[\"showline\"],[\"gridLinesVisible\"]],[s.radialAxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.radialAxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.radialAxis,[\"range\"],[\"domain\"]],[s.font,[\"outlinecolor\"],[\"outlineColor\"]],[s.legend,[\"traceorder\"],[\"reverseOrder\"]],[s,[\"labeloffset\"],[\"labelOffset\"]],[s,[\"defaultcolorrange\"],[\"defaultColorRange\"]]].forEach(function(t,r){o.util.translator.apply(null,t.concat(e))}),e?(void 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a=t(\"d3\"),o=t(\"tinycolor2\"),s=t(\"../../plotly\"),l=t(\"../../lib\"),u=t(\"../../components/color\"),c=t(\"../../components/drawing\"),h=t(\"../cartesian/set_convert\"),f=t(\"../../lib/extend\").extendFlat,d=t(\"../plots\"),p=t(\"../cartesian/axes\"),m=t(\"../../components/dragelement\"),g=t(\"../../components/titles\"),v=t(\"../cartesian/select\"),y=t(\"../cartesian/constants\"),b=t(\"../cartesian/graph_interact\");e.exports=n;var x=n.prototype;x.init=function(t){this.container=t._ternarylayer,this.defs=t._defs,this.layoutId=t._uid,this.traceHash={}},x.plot=function(t,e){var r=this,n=e[r.id],i=e._size;r.adjustLayout(n,i),d.generalUpdatePerTraceModule(r,t,n),r.layers.plotbg.select(\"path\").call(u.fill,n.bgcolor)},x.makeFramework=function(){var t=this,e=t.defs.selectAll(\"g.clips\").data([0]);e.enter().append(\"g\").classed(\"clips\",!0);var 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   float show = float(mshow(pA, loA, hiA) &&\\n                       mshow(pB, loB, hiB) &&\\n                       mshow(pC, loC, hiC) &&\\n                       mshow(pD, loD, hiD));\\n\\n    vec2 yy = show * vec2(val(pA, dim2A) + val(pB, dim2B) + val(pC, dim2C) + val(pD, dim2D),\\n                          val(pA, dim1A) + val(pB, dim1B) + val(pC, dim1C) + val(pD, dim1D));\\n\\n    vec2 dimensionToggle = vec2(x, 1.0 - x);\\n\\n    vec2 scatterToggle = vec2(scatter, 1.0 - scatter);\\n\\n    float y = dot(yy, dimensionToggle);\\n    mat2 xy = mat2(viewBoxSize * yy + dimensionToggle, viewBoxSize * vec2(x, y));\\n\\n    vec2 viewBoxXY = viewBoxPosition + xy * scatterToggle;\\n\\n    float depthOrHide = depth + 2.0 * (1.0 - show);\\n\\n    gl_Position = vec4(\\n        xyProjection * (2.0 * viewBoxXY / resolution - 1.0),\\n        depthOrHide,\\n        1.0\\n    );\\n\\n    // visible coloring\\n    float clampedColorIndex = clamp((prominence - colorClamp[0]) / (colorClamp[1] - colorClamp[0]), 0.0, 1.0);\\n    fragColor = texture2D(palette, vec2((clampedColorIndex * 255.0 + 0.5) / 256.0, 0.5));\\n}\\n\",frag:\"precision lowp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n    gl_FragColor = fragColor;\\n}\\n\",primitive:\"lines\",lineWidth:1,attributes:P,uniforms:{resolution:O.prop(\"resolution\"),viewBoxPosition:O.prop(\"viewBoxPosition\"),viewBoxSize:O.prop(\"viewBoxSize\"),dim1A:O.prop(\"dim1A\"),dim2A:O.prop(\"dim2A\"),dim1B:O.prop(\"dim1B\"),dim2B:O.prop(\"dim2B\"),dim1C:O.prop(\"dim1C\"),dim2C:O.prop(\"dim2C\"),dim1D:O.prop(\"dim1D\"),dim2D:O.prop(\"dim2D\"),loA:O.prop(\"loA\"),hiA:O.prop(\"hiA\"),loB:O.prop(\"loB\"),hiB:O.prop(\"hiB\"),loC:O.prop(\"loC\"),hiC:O.prop(\"hiC\"),loD:O.prop(\"loD\"),hiD:O.prop(\"hiD\"),palette:j,colorClamp:O.prop(\"colorClamp\"),scatter:O.prop(\"scatter\")},offset:O.prop(\"offset\"),count:O.prop(\"count\")}),F=[0,1],N=[];return{setColorDomain:y,render:x,readPixel:w,readPixels:M,destroy:O.destroy}}},{\"./constants\":954,regl:480}],958:[function(t,e,r){\"use strict\";function n(t){return t.key}function i(t){return[t]}function a(t){return!(\"visible\"in t)||t.visible}function o(t){var e=t.range?t.range[0]:_.min(t.values),r=t.range?t.range[1]:_.max(t.values);return!isNaN(e)&&isFinite(e)||(e=0),!isNaN(r)&&isFinite(r)||(r=0),e===r&&(void 0===e?(e=0,r=1):0===e?(e-=1,r+=1):(e*=.9,r*=1.1)),[e,r]}function s(t,e){var r,n,i,a,o;for(r=0,n=t.range(),i=1/0,a=n[0],o;r<n.length;r++){if((o=Math.abs(n[r]-e))>i)return a;i=o,a=n[r]}return n[n.length-1]}function l(t,e,r){var n=o(r);return r.tickvals?_.scale.ordinal().domain(r.tickvals).range(r.tickvals.map(function(t){return(t-n[0])/(n[1]-n[0])}).map(function(r){return t-e+r*(e-(t-e))})):_.scale.linear().domain(n).range([t-e,e])}function u(t,e){return _.scale.linear().range([t-e,e])}function c(t){return _.scale.linear().domain(o(t))}function h(t){var e=o(t);return t.tickvals&&_.scale.ordinal().domain(t.tickvals).range(t.tickvals.map(function(t){return(t-e[0])/(e[1]-e[0])}))}function f(t){var e=t.map(function(t){return t[0]}),r=t.map(function(t){return t[1]}),n=r.map(function(t){return _.rgb(t)}),i=function(t){return function(e){return e[t]}},a=\"rgb\".split(\"\").map(function(t){return _.scale.linear().clamp(!0).domain(e).range(n.map(i(t)))});return function(t){return a.map(function(e){return e(t)})}}function d(t){return t[0]}function p(t,e,r){var n=d(e),i=n.trace,o=n.lineColor,s=n.cscale,l=i.line,u=i.domain,h=i.dimensions,p=t.width,m=x.extendDeep({},l,{color:o.map(c({values:o,range:[l.cmin,l.cmax]})),blockLineCount:b.blockLineCount,canvasOverdrag:b.overdrag*b.canvasPixelRatio}),g=Math.floor(p*(u.x[1]-u.x[0])),v=Math.floor(t.height*(u.y[1]-u.y[0])),y=t.margin||{l:80,r:80,t:100,b:80},_=g,w=v;return{key:r,colCount:h.filter(a).length,dimensions:h,tickDistance:b.tickDistance,unitToColor:f(s),lines:m,translateX:u.x[0]*p,translateY:t.height-u.y[1]*t.height,pad:y,canvasWidth:_*b.canvasPixelRatio+2*m.canvasOverdrag,canvasHeight:w*b.canvasPixelRatio,width:_,height:w,canvasPixelRatio:b.canvasPixelRatio}}function m(t){var e=t.width,r=t.height,n=t.dimensions,i=t.canvasPixelRatio,o=function(r){return e*r/Math.max(1,t.colCount-1)},s=b.verticalPadding/(r*i),f=1-2*s,d=function(t){return s+f*t},p={key:t.key,xScale:o,model:t},m={};return p.dimensions=n.filter(a).map(function(e,n){var a=c(e),s=m[e.label];return m[e.label]=(s||0)+1,{key:e.label+(s?\"__\"+s:\"\"),label:e.label,tickFormat:e.tickformat,tickvals:e.tickvals,ticktext:e.ticktext,ordinal:!!e.tickvals,scatter:b.scatter||e.scatter,xIndex:n,crossfilterDimensionIndex:n,visibleIndex:e._index,height:r,values:e.values,paddedUnitValues:e.values.map(a).map(d),xScale:o,x:o(n),canvasX:o(n)*i,unitScale:u(r,b.verticalPadding),domainScale:l(r,b.verticalPadding,e),ordinalScale:h(e),domainToUnitScale:a,filter:e.constraintrange?e.constraintrange.map(a):[0,1],parent:p,model:t}}),p}function g(t){return b.layers.map(function(e){return{key:e,context:\"contextLineLayer\"===e,pick:\"pickLineLayer\"===e,viewModel:t,model:t.model}})}function v(t){t.classed(\"axisExtentText\",!0).attr(\"text-anchor\",\"middle\").style(\"font-weight\",100).style(\"font-size\",\"10px\").style(\"cursor\",\"default\").style(\"user-select\",\"none\")}var y=t(\"./lines\"),b=t(\"./constants\"),x=t(\"../../lib\"),_=t(\"d3\");e.exports=function(t,e,r,a,o){function l(t){var e=t.selectAll(\"defs\").data(i,n);e.enter().append(\"defs\");var r=e.selectAll(\"#filterBarPattern\").data(i,n);r.enter().append(\"pattern\").attr(\"id\",\"filterBarPattern\").attr(\"patternUnits\",\"userSpaceOnUse\"),r.attr(\"x\",-b.bar.width).attr(\"width\",b.bar.capturewidth).attr(\"height\",function(t){return t.model.height});var a=r.selectAll(\"rect\").data(i,n);a.enter().append(\"rect\").attr(\"shape-rendering\",\"crispEdges\"),a.attr(\"height\",function(t){return t.model.height}).attr(\"width\",b.bar.width).attr(\"x\",b.bar.width/2).attr(\"fill\",b.bar.fillcolor).attr(\"fill-opacity\",b.bar.fillopacity).attr(\"stroke\",b.bar.strokecolor).attr(\"stroke-opacity\",b.bar.strokeopacity).attr(\"stroke-width\",b.bar.strokewidth)}function u(t){return t.dimensions.some(function(t){return 0!==t.filter[0]||1!==t.filter[1]})}function c(t,e){for(var r=e.panels||(e.panels=[]),n=t.each(function(t){return t})[e.key].map(function(t){return t.__data__}),i=n.length-1,a=0;a<1;a++)for(var o=0;o<i;o++){var s=r[o+a*i]||(r[o+a*i]={}),l=n[o],u=n[o+1];s.dim1=l,s.dim2=u,s.canvasX=l.canvasX,s.panelSizeX=u.canvasX-l.canvasX,s.panelSizeY=e.model.canvasHeight/1,s.y=a*s.panelSizeY,s.canvasY=e.model.canvasHeight-s.y-s.panelSizeY}}function h(t,e){for(var r=e.panels||(e.panels=[]),n=t.each(function(t){return t})[e.key].map(function(t){return t.__data__}),i=n.length-1,a=i,o=0;o<i;o++)for(var s=0;s<i;s++){var l=r[s+o*i]||(r[s+o*i]={}),u=n[s],c=n[s+1];l.dim1=n[o+1],l.dim2=c,l.canvasX=u.canvasX,l.panelSizeX=c.canvasX-u.canvasX,l.panelSizeY=e.model.canvasHeight/a,l.y=o*l.panelSizeY,l.canvasY=e.model.canvasHeight-l.y-l.panelSizeY}}function f(t,e){return(b.scatter?h:c)(t,e)}function x(t){return t.ordinal?function(){return\"\"}:_.format(t.tickFormat)}function w(){Y=!0,A=!0}function M(t){T=!1;var e=t.parent,r=t.brush.extent(),n=e.dimensions,i=n[t.xIndex].filter,a=Y&&r[0]===r[1];a&&(t.brush.clear(),_.select(this).select(\"rect.extent\").attr(\"y\",-100));var o=a?[0,1]:r.slice();if(o[0]!==i[0]||o[1]!==i[1]){n[t.xIndex].filter=o,e.focusLineLayer&&e.focusLineLayer.render(e.panels,!0);var s=u(e);!W&&s?(e.contextLineLayer&&e.contextLineLayer.render(e.panels,!0),W=!0):W&&!s&&(e.contextLineLayer&&e.contextLineLayer.render(e.panels,!0,!0),W=!1)}Y=!1}function k(t){var e=t.parent,r=t.brush.extent(),n=r[0]===r[1],i=e.dimensions,a=i[t.xIndex].filter;if(!n&&t.ordinal&&(a[0]=s(t.ordinalScale,a[0]),a[1]=s(t.ordinalScale,a[1]),a[0]===a[1]&&(a[0]=Math.max(0,a[0]-.05),a[1]=Math.min(1,a[1]+.05)),_.select(this).transition().duration(150).call(t.brush.extent(a)),e.focusLineLayer.render(e.panels,!0)),e.pickLineLayer&&e.pickLineLayer.render(e.panels,!0),T=!0,A=\"ending\",o&&o.filterChanged){var l=t.domainToUnitScale.invert,u=a.map(l);o.filterChanged(e.key,t.visibleIndex,u)}}var A=!1,T=!0,S=r.filter(function(t){return d(t).trace.visible}).map(p.bind(0,a)).map(m);t.selectAll(\".parcoords-line-layers\").remove();var E=t.selectAll(\".parcoords-line-layers\").data(S,n);E.enter().insert(\"div\",\".\"+e.attr(\"class\").split(\" \").join(\" .\")).classed(\"parcoords-line-layers\",!0).style(\"box-sizing\",\"content-box\"),E.style(\"transform\",function(t){return\"translate(\"+(t.model.translateX-b.overdrag)+\"px,\"+t.model.translateY+\"px)\"});var L=E.selectAll(\".parcoords-lines\").data(g,n),C={renderers:[],dimensions:[]},z=null;L.enter().append(\"canvas\").attr(\"class\",function(t){return\"parcoords-lines \"+(t.context?\"context\":t.pick?\"pick\":\"focus\")}).style(\"box-sizing\",\"content-box\").style(\"float\",\"left\").style(\"clear\",\"both\").style(\"left\",0).style(\"overflow\",\"visible\").style(\"position\",function(t,e){return\"absolute\"}).filter(function(t){return t.pick}).on(\"mousemove\",function(t){if(T&&t.lineLayer&&o&&o.hover){var e=_.event,r=this.width,n=this.height,i=_.mouse(this),a=i[0],s=i[1];if(a<0||s<0||a>=r||s>=n)return;var l=t.lineLayer.readPixel(a,n-1-s),u=0!==l[3],c=u?l[2]+256*(l[1]+256*l[0]):null,h={x:a,y:s,clientX:e.clientX,clientY:e.clientY,dataIndex:t.model.key,curveNumber:c};c!==z&&(u?o.hover(h):o.unhover&&o.unhover(h),z=c)}}),L.style(\"margin\",function(t){var e=t.model.pad;return e.t+\"px \"+e.r+\"px \"+e.b+\"px \"+e.l+\"px\"}).attr(\"width\",function(t){return t.model.canvasWidth}).attr(\"height\",function(t){return t.model.canvasHeight}).style(\"width\",function(t){return t.model.width+2*b.overdrag+\"px\"}).style(\"height\",function(t){return t.model.height+\"px\"}).style(\"opacity\",function(t){return t.pick?.01:1}),e.style(\"background\",\"rgba(255, 255, 255, 0)\");var D=e.selectAll(\".parcoords\").data(S,n);D.exit().remove(),D.enter().append(\"g\").classed(\"parcoords\",!0).attr(\"overflow\",\"visible\").style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"overflow\",\"visible\").style(\"shape-rendering\",\"crispEdges\").style(\"pointer-events\",\"none\").call(l),D.attr(\"width\",function(t){return t.model.width+t.model.pad.l+t.model.pad.r}).attr(\"height\",function(t){return t.model.height+t.model.pad.t+t.model.pad.b}).attr(\"transform\",function(t){return\"translate(\"+t.model.translateX+\",\"+t.model.translateY+\")\"});var I=D.selectAll(\".parcoordsControlView\").data(i,n);I.enter().append(\"g\").classed(\"parcoordsControlView\",!0).style(\"box-sizing\",\"content-box\"),I.attr(\"transform\",function(t){return\"translate(\"+t.model.pad.l+\",\"+t.model.pad.t+\")\"});var P=I.selectAll(\".yAxis\").data(function(t){return t.dimensions},n);P.enter().append(\"g\").classed(\"yAxis\",!0).each(function(t){C.dimensions.push(t)}),I.each(function(t){f(P,t)}),L.each(function(t){t.lineLayer=y(this,t.model.lines,t.model.canvasWidth,t.model.canvasHeight,t.viewModel.dimensions,t.viewModel.panels,t.model.unitToColor,t.context,t.pick,b.scatter),t.viewModel[t.key]=t.lineLayer,C.renderers.push(function(){t.lineLayer.render(t.viewModel.panels,!0)}),t.lineLayer.render(t.viewModel.panels,!t.context)}),P.attr(\"transform\",function(t){return\"translate(\"+t.xScale(t.xIndex)+\", 0)\"}),P.call(_.behavior.drag().origin(function(t){return t}).on(\"drag\",function(t){var e=t.parent;T=!1,A||(t.x=Math.max(-b.overdrag,Math.min(t.model.width+b.overdrag,_.event.x)),t.canvasX=t.x*t.model.canvasPixelRatio,P.sort(function(t,e){return t.x-e.x}).each(function(e,r){e.xIndex=r,e.x=t===e?e.x:e.xScale(e.xIndex),e.canvasX=e.x*e.model.canvasPixelRatio}),f(P,e),P.filter(function(e){return 0!==Math.abs(t.xIndex-e.xIndex)}).attr(\"transform\",function(t){return\"translate(\"+t.xScale(t.xIndex)+\", 0)\"}),_.select(this).attr(\"transform\",\"translate(\"+t.x+\", 0)\"),P.each(function(r,n,i){i===t.parent.key&&(e.dimensions[n]=r)}),e.contextLineLayer&&e.contextLineLayer.render(e.panels,!1,!u(e)),e.focusLineLayer.render&&e.focusLineLayer.render(e.panels))}).on(\"dragend\",function(t){var e=t.parent;if(A)return void(\"ending\"===A&&(A=!1));t.x=t.xScale(t.xIndex),t.canvasX=t.x*t.model.canvasPixelRatio,f(P,e),_.select(this).attr(\"transform\",function(t){return\"translate(\"+t.x+\", 0)\"}),e.contextLineLayer&&e.contextLineLayer.render(e.panels,!1,!u(e)),e.focusLineLayer&&e.focusLineLayer.render(e.panels),e.pickLineLayer&&e.pickLineLayer.render(e.panels,!0),T=!0,o&&o.axesMoved&&o.axesMoved(e.key,e.dimensions.map(function(t){return t.crossfilterDimensionIndex}))})),P.exit().remove();var O=P.selectAll(\".axisOverlays\").data(i,n);O.enter().append(\"g\").classed(\"axisOverlays\",!0),O.selectAll(\".axis\").remove();var j=O.selectAll(\".axis\").data(i,n);j.enter().append(\"g\").classed(\"axis\",!0),j.each(function(t){var e=t.model.height/t.model.tickDistance,r=t.domainScale,n=r.domain(),i=t.ticktext;_.select(this).call(_.svg.axis().orient(\"left\").tickSize(4).outerTickSize(2).ticks(e,t.tickFormat).tickValues(t.ordinal?n.map(function(t,e){return i&&i[e]||t}):null).tickFormat(t.ordinal?function(t){return t}:null).scale(r))}),j.selectAll(\".domain, .tick\").attr(\"fill\",\"none\").attr(\"stroke\",\"black\").attr(\"stroke-opacity\",.25).attr(\"stroke-width\",\"1px\"),j.selectAll(\"text\").style(\"font-weight\",100).style(\"font-size\",\"10px\").style(\"fill\",\"black\").style(\"fill-opacity\",1).style(\"stroke\",\"none\").style(\"text-shadow\",\"1px 1px 1px #fff, -1px -1px 1px #fff, 1px -1px 1px #fff, -1px 1px 1px #fff\").style(\"cursor\",\"default\").style(\"user-select\",\"none\");var R=O.selectAll(\".axisHeading\").data(i,n);R.enter().append(\"g\").classed(\"axisHeading\",!0);var F=R.selectAll(\".axisTitle\").data(i,n);F.enter().append(\"text\").classed(\"axisTitle\",!0).attr(\"text-anchor\",\"middle\").style(\"font-family\",\"sans-serif\").style(\"font-size\",\"10px\").style(\"cursor\",\"ew-resize\").style(\"user-select\",\"none\").style(\"pointer-events\",\"auto\"),F.attr(\"transform\",\"translate(0,\"+-b.axisTitleOffset+\")\").text(function(t){return t.label});var N=O.selectAll(\".axisExtent\").data(i,n);N.enter().append(\"g\").classed(\"axisExtent\",!0);var B=N.selectAll(\".axisExtentTop\").data(i,n);B.enter().append(\"g\").classed(\"axisExtentTop\",!0),B.attr(\"transform\",\"translate(0,\"+-b.axisExtentOffset+\")\");var U=B.selectAll(\".axisExtentTopText\").data(i,n);U.enter().append(\"text\").classed(\"axisExtentTopText\",!0).attr(\"alignment-baseline\",\"after-edge\").call(v),U.text(function(t){return x(t)(t.domainScale.domain().slice(-1)[0])});var V=N.selectAll(\".axisExtentBottom\").data(i,n);V.enter().append(\"g\").classed(\"axisExtentBottom\",!0),V.attr(\"transform\",function(t){return\"translate(0,\"+(t.model.height+b.axisExtentOffset)+\")\"});var H=V.selectAll(\".axisExtentBottomText\").data(i,n);H.enter().append(\"text\").classed(\"axisExtentBottomText\",!0).attr(\"alignment-baseline\",\"before-edge\").call(v),H.text(function(t){return x(t)(t.domainScale.domain()[0])});var q=O.selectAll(\".axisBrush\").data(i,n),G=q.enter().append(\"g\").classed(\"axisBrush\",!0);q.each(function(t){t.brush||(t.brush=_.svg.brush().y(t.unitScale).on(\"brushstart\",w).on(\"brush\",M).on(\"brushend\",k),0===t.filter[0]&&1===t.filter[1]||t.brush.extent(t.filter),_.select(this).call(t.brush))}),G.selectAll(\"rect\").attr(\"x\",-b.bar.capturewidth/2).attr(\"width\",b.bar.capturewidth),G.selectAll(\"rect.extent\").attr(\"fill\",\"url(#filterBarPattern)\").style(\"cursor\",\"ns-resize\").filter(function(t){return 0===t.filter[0]&&1===t.filter[1]}).attr(\"y\",-100),G.selectAll(\".resize rect\").attr(\"height\",b.bar.handleheight).attr(\"opacity\",0).style(\"visibility\",\"visible\"),G.selectAll(\".resize.n rect\").style(\"cursor\",\"n-resize\").attr(\"y\",b.bar.handleoverlap-b.bar.handleheight),G.selectAll(\".resize.s rect\").style(\"cursor\",\"s-resize\").attr(\"y\",b.bar.handleoverlap);var Y=!1,W=!1;return C}},{\"../../lib\":685,\"./constants\":954,\"./lines\":957,d3:107}],959:[function(t,e,r){\"use strict\";var n=t(\"./parcoords\");e.exports=function(t,e){var r=t._fullLayout,i=r._paper,a=r._paperdiv,o={},s={},l=r._size;e.forEach(function(e,r){o[r]=t.data[r].dimensions,s[r]=t.data[r].dimensions.slice()});var u=function(e,r,n){var i=s[e][r],a=i.constraintrange;a&&2===a.length||(a=i.constraintrange=[]),a[0]=n[0],a[1]=n[1],t.emit(\"plotly_restyle\")},c=function(e){t.emit(\"plotly_hover\",e)},h=function(e){t.emit(\"plotly_unhover\",e)},f=function(e,r){function n(t){return!(\"visible\"in t)||t.visible}function i(t,e,r){var n=e.indexOf(r),i=t.indexOf(n);return i===-1&&(i+=e.length),i}var a=function(t){return function(e,n){return i(r,t,e)-i(r,t,n)}}(s[e].filter(n));o[e].sort(a),s[e].filter(function(t){return!n(t)}).sort(function(t){return 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n=t(\"../../components/color/attributes\"),i=t(\"../../plots/font_attributes\"),a=t(\"../../plots/attributes\"),o=t(\"../../lib/extend\").extendFlat;e.exports={labels:{valType:\"data_array\"},label0:{valType:\"number\",dflt:0},dlabel:{valType:\"number\",dflt:1},values:{valType:\"data_array\"},marker:{colors:{valType:\"data_array\"},line:{color:{valType:\"color\",dflt:n.defaultLine,arrayOk:!0},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0}}},text:{valType:\"data_array\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},scalegroup:{valType:\"string\",dflt:\"\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"]},hoverinfo:o({},a.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0},textfont:o({},i,{}),insidetextfont:o({},i,{}),outsidetextfont:o({},i,{}),domain:{x:{valType:\"info_array\",items:[{valType:\"number\",min:0,max:1},{valType:\"number\",min:0,max:1}],dflt:[0,1]},y:{valType:\"info_array\",items:[{valType:\"number\",min:0,max:1},{valType:\"number\",min:0,max:1}],dflt:[0,1]}},hole:{valType:\"number\",min:0,max:1,dflt:0},sort:{valType:\"boolean\",dflt:!0},direction:{valType:\"enumerated\",values:[\"clockwise\",\"counterclockwise\"],dflt:\"counterclockwise\"},rotation:{valType:\"number\",min:-360,max:360,dflt:0},pull:{valType:\"number\",min:0,max:1,dflt:0,arrayOk:!0}}},{\"../../components/color/attributes\":577,\"../../lib/extend\":677,\"../../plots/attributes\":722,\"../../plots/font_attributes\":748}],961:[function(t,e,r){\"use 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l=i(e,u),f=w+e.pxmid[0]*(1-l),d=M+e.pxmid[1]*(1-l),p=r.separators,v=[];s.indexOf(\"label\")!==-1&&v.push(e.label),s.indexOf(\"text\")!==-1&&(o.hovertext?v.push(Array.isArray(o.hovertext)?o.hovertext[e.i]:o.hovertext):o.text&&o.text[e.i]&&v.push(o.text[e.i])),s.indexOf(\"value\")!==-1&&v.push(m.formatPieValue(e.v,p)),s.indexOf(\"percent\")!==-1&&v.push(m.formatPiePercent(e.v/u.vTotal,p)),h.loneHover({x0:f-l*u.r,x1:f+l*u.r,y:d,text:v.join(\"<br>\"),name:s.indexOf(\"name\")!==-1?o.name:void 0,color:e.color,idealAlign:e.pxmid[0]<0?\"left\":\"right\"},{container:a._hoverlayer.node(),outerContainer:a._paper.node()}),h.hover(t,n,\"pie\"),T=!0}function s(e){e.originalEvent=c.event,t.emit(\"plotly_unhover\",{event:c.event,points:[e]}),T&&(h.loneUnhover(r._hoverlayer.node()),T=!1)}function f(){t._hoverdata=[e],t._hoverdata.trace=u.trace,h.click(t,c.event)}function b(t,r,n,i){return\"a\"+i*u.r+\",\"+i*_+\" \"+y+\" \"+e.largeArc+(n?\" 1 \":\" 0 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i=r.marker.line.color;Array.isArray(i)&&(i=i[e.i]||n.defaultLine);var a=r.marker.line.width||0;Array.isArray(a)&&(a=a[e.i]||0),t.style({\"stroke-width\":a,fill:e.color}).call(n.stroke,i)}},{\"../../components/color\":578}],971:[function(t,e,r){\"use strict\";var n=t(\"../scattergl/attributes\");e.exports={x:n.x,y:n.y,xy:{valType:\"data_array\"},indices:{valType:\"data_array\"},xbounds:{valType:\"data_array\"},ybounds:{valType:\"data_array\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1},blend:{valType:\"boolean\",dflt:null},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5},sizemax:{valType:\"number\",min:.1,dflt:20},border:{color:{valType:\"color\",arrayOk:!1},arearatio:{valType:\"number\",min:0,max:1,dflt:0}}}}},{\"../scattergl/attributes\":1020}],972:[function(t,e,r){\"use strict\";function n(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=a(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}function i(t,e){var r=new n(t,e.uid);return r.update(e),r}var a=t(\"gl-pointcloud2d\"),o=t(\"../../lib/str2rgbarray\"),s=t(\"../scatter/get_trace_color\"),l=[\"xaxis\",\"yaxis\"],u=n.prototype;u.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},u.update=function(t){this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=s(t,{})},u.updateFast=function(t){var e,r,n,i,a,s,l=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,c=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,f=t.indices,d=this.bounds;if(c){if(n=c,e=c.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(s=0;s<e;s++)i=n[2*s],a=n[2*s+1],i<d[0]&&(d[0]=i),i>d[2]&&(d[2]=i),a<d[1]&&(d[1]=a),a>d[3]&&(d[3]=a);if(f)r=f;else for(r=new Int32Array(e),s=0;s<e;s++)r[s]=s}else for(e=l.length,n=new Float32Array(2*e),r=new 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r,n,i,a=e||.5,o=0;o<2;o++)r=this.scene[l[o]],n=r._min,n||(n=[]),n.push({val:t[o],pad:a}),i=r._max,i||(i=[]),i.push({val:t[o+2],pad:a})},u.dispose=function(){this.pointcloud.dispose()},e.exports=i},{\"../../lib/str2rgbarray\":703,\"../scatter/get_trace_color\":984,\"gl-pointcloud2d\":214}],973:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./attributes\");e.exports=function(t,e,r){function a(r,a){return n.coerce(t,e,i,r,a)}a(\"x\"),a(\"y\"),a(\"xbounds\"),a(\"ybounds\"),t.xy&&t.xy instanceof Float32Array&&(e.xy=t.xy),t.indices&&t.indices instanceof Int32Array&&(e.indices=t.indices),a(\"text\"),a(\"marker.color\",r),a(\"marker.opacity\"),a(\"marker.blend\"),a(\"marker.sizemin\"),a(\"marker.sizemax\"),a(\"marker.border.color\",r),a(\"marker.border.arearatio\")}},{\"../../lib\":685,\"./attributes\":971}],974:[function(t,e,r){\"use strict\";var n={};n.attributes=t(\"./attributes\"),n.supplyDefaults=t(\"./defaults\"),n.calc=t(\"../scatter3d/calc\"),n.plot=t(\"./convert\"),n.moduleType=\"trace\",n.name=\"pointcloud\",n.basePlotModule=t(\"../../plots/gl2d\"),n.categories=[\"gl2d\",\"showLegend\"],n.meta={},e.exports=n},{\"../../plots/gl2d\":764,\"../scatter3d/calc\":1e3,\"./attributes\":971,\"./convert\":972,\"./defaults\":973}],975:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){n.mergeArray(e.text,t,\"tx\"),n.mergeArray(e.hovertext,t,\"htx\"),n.mergeArray(e.customdata,t,\"data\"),n.mergeArray(e.textposition,t,\"tp\"),e.textfont&&(n.mergeArray(e.textfont.size,t,\"ts\"),n.mergeArray(e.textfont.color,t,\"tc\"),n.mergeArray(e.textfont.family,t,\"tf\"));var r=e.marker;if(r){n.mergeArray(r.size,t,\"ms\"),n.mergeArray(r.opacity,t,\"mo\"),n.mergeArray(r.symbol,t,\"mx\"),n.mergeArray(r.color,t,\"mc\");var 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n=t(\"../../components/colorscale/color_attributes\"),i=t(\"../../components/errorbars/attributes\"),a=t(\"../../components/colorbar/attributes\"),o=t(\"../../components/drawing/attributes\").dash,s=t(\"../../components/drawing\"),l=(t(\"./constants\"),t(\"../../lib/extend\").extendFlat);e.exports={x:{valType:\"data_array\"},x0:{valType:\"any\",dflt:0},dx:{valType:\"number\",dflt:1},y:{valType:\"data_array\"},y0:{valType:\"any\",dflt:0},customdata:{valType:\"data_array\"},dy:{valType:\"number\",dflt:1},ids:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},mode:{valType:\"flaglist\",flags:[\"lines\",\"markers\",\"text\"],extras:[\"none\"]},hoveron:{valType:\"flaglist\",flags:[\"points\",\"fills\"]},line:{color:{valType:\"color\"},width:{valType:\"number\",min:0,dflt:2},shape:{valType:\"enumerated\",values:[\"linear\",\"spline\",\"hv\",\"vh\",\"hvh\",\"vhv\"],dflt:\"linear\"},smoothing:{valType:\"number\",min:0,max:1.3,dflt:1},dash:o,simplify:{valType:\"boolean\",dflt:!0}},connectgaps:{valType:\"boolean\",dflt:!1},fill:{valType:\"enumerated\",values:[\"none\",\"tozeroy\",\"tozerox\",\"tonexty\",\"tonextx\",\"toself\",\"tonext\"],dflt:\"none\"},fillcolor:{valType:\"color\"},marker:l({},{symbol:{valType:\"enumerated\",values:s.symbolList,dflt:\"circle\",arrayOk:!0},opacity:{valType:\"number\",min:0,max:1,arrayOk:!0},size:{valType:\"number\",min:0,dflt:6,arrayOk:!0},maxdisplayed:{valType:\"number\",min:0,dflt:0},sizeref:{valType:\"number\",dflt:1},sizemin:{valType:\"number\",min:0,dflt:0},sizemode:{valType:\"enumerated\",values:[\"diameter\",\"area\"],dflt:\"diameter\"},showscale:{valType:\"boolean\",dflt:!1},colorbar:a,line:l({},{width:{valType:\"number\",min:0,arrayOk:!0}},n(\"marker.line\"))},n(\"marker\")),textposition:{valType:\"enumerated\",values:[\"top 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r,l,u,c=i.getFromId(t,e.xaxis||\"x\"),h=i.getFromId(t,e.yaxis||\"y\"),f=c.makeCalcdata(e,\"x\"),d=h.makeCalcdata(e,\"y\"),p=Math.min(f.length,d.length);c._minDtick=0,h._minDtick=0,f.length>p&&f.splice(p,f.length-p),d.length>p&&d.splice(p,d.length-p);var m={padded:!0},g={padded:!0};if(a.hasMarkers(e)){if(r=e.marker,l=r.size,Array.isArray(l)){var v={type:\"linear\"};i.setConvert(v),l=v.makeCalcdata(e.marker,\"size\"),l.length>p&&l.splice(p,l.length-p)}var y,b=1.6*(e.marker.sizeref||1);y=\"area\"===e.marker.sizemode?function(t){return Math.max(Math.sqrt((t||0)/b),3)}:function(t){return Math.max((t||0)/b,3)},m.ppad=g.ppad=Array.isArray(l)?l.map(y):y(l)}o(e),!(\"tozerox\"===e.fill||\"tonextx\"===e.fill&&t.firstscatter)||f[0]===f[p-1]&&d[0]===d[p-1]?e.error_y.visible||[\"tonexty\",\"tozeroy\"].indexOf(e.fill)===-1&&(a.hasMarkers(e)||a.hasText(e))||(m.padded=!1,m.ppad=0):m.tozero=!0,!(\"tozeroy\"===e.fill||\"tonexty\"===e.fill&&t.firstscatter)||f[0]===f[p-1]&&d[0]===d[p-1]?[\"tonextx\",\"tozerox\"].indexOf(e.fill)!==-1&&(g.padded=!1):g.tozero=!0,i.expand(c,f,m),i.expand(h,d,g);var x=new Array(p);for(u=0;u<p;u++)x[u]=n(f[u])&&n(d[u])?{x:f[u],y:d[u]}:{x:!1,y:!1},e.ids&&(x[u].id=String(e.ids[u]));return s(x,e),t.firstscatter=!1,x}},{\"../../plots/cartesian/axes\":724,\"./arrays_to_calcdata\":975,\"./colorscale_calc\":980,\"./subtypes\":996,\"fast-isnumeric\":116}],978:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=0;e<t.length;e++){var r=t[e];if(\"scatter\"===r.type){var n=r.fill;if(\"none\"!==n&&\"toself\"!==n&&(r.opacity=void 0,\"tonexty\"===n||\"tonextx\"===n))for(var i=e-1;i>=0;i--){var a=t[i];if(\"scatter\"===a.type&&a.xaxis===r.xaxis&&a.yaxis===r.yaxis){a.opacity=void 0;break}}}}}},{}],979:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=t(\"../../plots/plots\"),o=t(\"../../components/colorscale\"),s=t(\"../../components/colorbar/draw\");e.exports=function(t,e){var r=e[0].trace,l=r.marker,u=\"cb\"+r.uid;if(t._fullLayout._infolayer.selectAll(\".\"+u).remove(),void 0===l||!l.showscale)return void a.autoMargin(t,u);var c=l.color,h=l.cmin,f=l.cmax;n(h)||(h=i.aggNums(Math.min,null,c)),n(f)||(f=i.aggNums(Math.max,null,c));var d=e[0].t.cb=s(t,u),p=o.makeColorScaleFunc(o.extractScale(l.colorscale,h,f),{noNumericCheck:!0});d.fillcolor(p).filllevels({start:h,end:f,size:(f-h)/254}).options(l.colorbar)()}},{\"../../components/colorbar/draw\":581,\"../../components/colorscale\":592,\"../../lib\":685,\"../../plots/plots\":787,\"fast-isnumeric\":116}],980:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/has_colorscale\"),i=t(\"../../components/colorscale/calc\"),a=t(\"./subtypes\");e.exports=function(t){a.hasLines(t)&&n(t,\"line\")&&i(t,t.line.color,\"line\",\"c\"),a.hasMarkers(t)&&(n(t,\"marker\")&&i(t,t.marker.color,\"marker\",\"c\"),n(t,\"marker.line\")&&i(t,t.marker.line.color,\"marker.line\",\"c\"))}},{\"../../components/colorscale/calc\":584,\"../../components/colorscale/has_colorscale\":591,\"./subtypes\":996}],981:[function(t,e,r){\"use strict\";e.exports={PTS_LINESONLY:20}},{}],982:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./attributes\"),a=t(\"./constants\"),o=t(\"./subtypes\"),s=t(\"./xy_defaults\"),l=t(\"./marker_defaults\"),u=t(\"./line_defaults\"),c=t(\"./line_shape_defaults\"),h=t(\"./text_defaults\"),f=t(\"./fillcolor_defaults\"),d=t(\"../../components/errorbars/defaults\");e.exports=function(t,e,r,p){function m(r,a){return n.coerce(t,e,i,r,a)}var g=s(t,e,p,m),v=g<a.PTS_LINESONLY?\"lines+markers\":\"lines\";if(!g)return void(e.visible=!1);m(\"customdata\"),m(\"text\"),m(\"hovertext\"),m(\"mode\",v),m(\"ids\"),o.hasLines(e)&&(u(t,e,r,p,m),c(t,e,m),m(\"connectgaps\"),m(\"line.simplify\")),o.hasMarkers(e)&&l(t,e,r,p,m),o.hasText(e)&&h(t,e,p,m);var y=[];(o.hasMarkers(e)||o.hasText(e))&&(m(\"marker.maxdisplayed\"),y.push(\"points\")),m(\"fill\"),\"none\"!==e.fill&&(f(t,e,r,m),o.hasLines(e)||c(t,e,m)),\"tonext\"!==e.fill&&\"toself\"!==e.fill||y.push(\"fills\"),m(\"hoveron\",y.join(\"+\")||\"points\"),d(t,e,r,{axis:\"y\"}),d(t,e,r,{axis:\"x\",inherit:\"y\"})}},{\"../../components/errorbars/defaults\":607,\"../../lib\":685,\"./attributes\":976,\"./constants\":981,\"./fillcolor_defaults\":983,\"./line_defaults\":987,\"./line_shape_defaults\":989,\"./marker_defaults\":992,\"./subtypes\":996,\"./text_defaults\":997,\"./xy_defaults\":998}],983:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\");e.exports=function(t,e,r,i){var a=!1;if(e.marker){var o=e.marker.color,s=(e.marker.line||{}).color;o&&!Array.isArray(o)?a=o:s&&!Array.isArray(s)&&(a=s)}i(\"fillcolor\",n.addOpacity((e.line||{}).color||a||r,.5))}},{\"../../components/color\":578}],984:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"./subtypes\");e.exports=function(t,e){var r,a;if(\"lines\"===t.mode)return r=t.line.color,r&&n.opacity(r)?r:t.fillcolor;if(\"none\"===t.mode)return t.fill?t.fillcolor:\"\";var o=e.mcc||(t.marker||{}).color,s=e.mlcc||((t.marker||{}).line||{}).color;return a=o&&n.opacity(o)?o:s&&n.opacity(s)&&(e.mlw||((t.marker||{}).line||{}).width)?s:\"\",a?n.opacity(a)<.3?n.addOpacity(a,.3):a:(r=(t.line||{}).color,r&&n.opacity(r)&&i.hasLines(t)&&t.line.width?r:t.fillcolor)}},{\"../../components/color\":578,\"./subtypes\":996}],985:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../plots/cartesian/graph_interact\"),a=t(\"../../plots/cartesian/constants\"),o=t(\"../../components/errorbars\"),s=t(\"./get_trace_color\"),l=t(\"../../components/color\");e.exports=function(t,e,r,u){var c=t.cd,h=c[0].trace,f=t.xa,d=t.ya,p=f.c2p(e),m=d.c2p(r),g=[p,m];if(h.hoveron.indexOf(\"points\")!==-1){var v=function(t){var e=Math.max(3,t.mrc||0);return Math.max(Math.abs(f.c2p(t.x)-p)-e,1-3/e)},y=function(t){var e=Math.max(3,t.mrc||0);return Math.max(Math.abs(d.c2p(t.y)-m)-e,1-3/e)},b=function(t){var e=Math.max(3,t.mrc||0),r=f.c2p(t.x)-p,n=d.c2p(t.y)-m;return Math.max(Math.sqrt(r*r+n*n)-e,1-3/e)},x=i.getDistanceFunction(u,v,y,b);if(i.getClosest(c,x,t),t.index!==!1){var _=c[t.index],w=f.c2p(_.x,!0),M=d.c2p(_.y,!0),k=_.mrc||1;return 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v=\"projection.\"+m[g];f(v+\".show\")&&(f(v+\".opacity\"),f(v+\".scale\"))}c(t,e,r,{axis:\"z\"}),c(t,e,r,{axis:\"y\",inherit:\"z\"}),c(t,e,r,{axis:\"x\",inherit:\"z\"})}},{\"../../components/errorbars/defaults\":607,\"../../lib\":685,\"../../registry\":802,\"../scatter/line_defaults\":987,\"../scatter/marker_defaults\":992,\"../scatter/subtypes\":996,\"../scatter/text_defaults\":997,\"./attributes\":999}],1004:[function(t,e,r){\"use strict\";var n={};n.plot=t(\"./convert\"),n.attributes=t(\"./attributes\"),n.markerSymbols=t(\"../../constants/gl_markers\"),n.supplyDefaults=t(\"./defaults\"),n.colorbar=t(\"../scatter/colorbar\"),n.calc=t(\"./calc\"),n.moduleType=\"trace\",n.name=\"scatter3d\",n.basePlotModule=t(\"../../plots/gl3d\"),n.categories=[\"gl3d\",\"symbols\",\"markerColorscale\",\"showLegend\"],n.meta={},e.exports=n},{\"../../constants/gl_markers\":664,\"../../plots/gl3d\":767,\"../scatter/colorbar\":979,\"./attributes\":999,\"./calc\":1e3,\"./convert\":1002,\"./defaults\":1003}],1005:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../components/colorscale/color_attributes\"),o=t(\"../../components/colorbar/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=n.marker,u=n.line,c=l.line;e.exports={carpet:{valType:\"string\"},a:{valType:\"data_array\"},b:{valType:\"data_array\"},sum:{valType:\"number\",dflt:0,min:0},mode:s({},n.mode,{dflt:\"markers\"}),text:s({},n.text,{}),line:{color:u.color,width:u.width,dash:u.dash,shape:s({},u.shape,{values:[\"linear\",\"spline\"]}),smoothing:u.smoothing},connectgaps:n.connectgaps,fill:s({},n.fill,{values:[\"none\",\"toself\",\"tonext\"]}),fillcolor:n.fillcolor,marker:s({},{symbol:l.symbol,opacity:l.opacity,maxdisplayed:l.maxdisplayed,size:l.size,sizeref:l.sizeref,sizemin:l.sizemin,sizemode:l.sizemode,line:s({},{width:c.width},a(\"marker\".line))},a(\"marker\"),{showscale:l.showscale,colorbar:o}),textfont:n.textfont,textposition:n.textposition,hoverinfo:s({},i.hoverinfo,{flags:[\"a\",\"b\",\"c\",\"text\",\"name\"]}),hoveron:n.hoveron}},{\"../../components/colorbar/attributes\":579,\"../../components/colorscale/color_attributes\":585,\"../../lib/extend\":677,\"../../plots/attributes\":722,\"../scatter/attributes\":976}],1006:[function(t,e,r){\"use 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0!==y&&a.mergeArray(y,d,\"ms\"),d}}},{\"../../lib\":685,\"../../plots/cartesian/axes\":724,\"../carpet/lookup_carpetid\":858,\"../scatter/colorscale_calc\":980,\"../scatter/subtypes\":996,\"fast-isnumeric\":116}],1007:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../scatter/constants\"),a=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/line_shape_defaults\"),u=t(\"../scatter/text_defaults\"),c=t(\"../scatter/fillcolor_defaults\"),h=t(\"./attributes\");e.exports=function(t,e,r,f){function d(r,i){return n.coerce(t,e,h,r,i)}d(\"carpet\"),e.xaxis=\"x\",e.yaxis=\"y\";var p,m=d(\"a\"),g=d(\"b\");if(!(p=Math.min(m.length,g.length)))return void(e.visible=!1);m&&p<m.length&&(e.a=m.slice(0,p)),g&&p<g.length&&(e.b=g.slice(0,p)),d(\"sum\"),d(\"text\"),d(\"mode\",p<i.PTS_LINESONLY?\"lines+markers\":\"lines\"),a.hasLines(e)&&(s(t,e,r,f,d),l(t,e,d),d(\"connectgaps\")),a.hasMarkers(e)&&o(t,e,r,f,d),a.hasText(e)&&u(t,e,f,d);var v=[];(a.hasMarkers(e)||a.hasText(e))&&(d(\"marker.maxdisplayed\"),v.push(\"points\")),d(\"fill\"),\"none\"!==e.fill&&(c(t,e,r,d),a.hasLines(e)||l(t,e,d)),d(\"hoverinfo\",1===f._dataLength?\"a+b+text\":void 0),\"tonext\"!==e.fill&&\"toself\"!==e.fill||v.push(\"fills\"),d(\"hoveron\",v.join(\"+\")||\"points\")}},{\"../../lib\":685,\"../scatter/constants\":981,\"../scatter/fillcolor_defaults\":983,\"../scatter/line_defaults\":987,\"../scatter/line_shape_defaults\":989,\"../scatter/marker_defaults\":992,\"../scatter/subtypes\":996,\"../scatter/text_defaults\":997,\"./attributes\":1005}],1008:[function(t,e,r){\"use strict\";var n=t(\"../scatter/hover\");e.exports=function(t,e,r,i){function a(t,e){g.push((t.labelprefix&&t.labelprefix.length>0?t.labelprefix:t._hovertitle+\": \")+e.toFixed(3)+t.labelsuffix)}var o=n(t,e,r,i);if(o&&o[0].index!==!1){var s=o[0];if(void 0===s.index){var l=1-s.y0/t.ya._length,u=t.xa._length,c=u*l/2,h=u-c;return s.x0=Math.max(Math.min(s.x0,h),c),s.x1=Math.max(Math.min(s.x1,h),c),o}var f=s.cd[s.index];s.a=f.a,s.b=f.b,s.xLabelVal=void 0,s.yLabelVal=void 0;var d=s.trace,p=d._carpet,m=d.hoverinfo.split(\"+\"),g=[];m.indexOf(\"all\")!==-1&&(m=[\"a\",\"b\"]),m.indexOf(\"a\")!==-1&&a(p.aaxis,f.a),m.indexOf(\"b\")!==-1&&a(p.baxis,f.b);var v=p.ab2ij([f.a,f.b]),y=Math.floor(v[0]),b=v[0]-y,x=Math.floor(v[1]),_=v[1]-x,w=p.evalxy([],y,x,b,_);return g.push(\"y: \"+w[1].toFixed(3)),s.extraText=g.join(\"<br>\"),o}}},{\"../scatter/hover\":985}],1009:[function(t,e,r){\"use strict\";var n={};n.attributes=t(\"./attributes\"),n.supplyDefaults=t(\"./defaults\"),n.colorbar=t(\"../scatter/colorbar\"),n.calc=t(\"./calc\"),n.plot=t(\"./plot\"),n.style=t(\"./style\"),n.hoverPoints=t(\"./hover\"),n.selectPoints=t(\"./select\"),n.moduleType=\"trace\",n.name=\"scattercarpet\",n.basePlotModule=t(\"../../plots/cartesian\"),n.categories=[\"carpet\",\"symbols\",\"markerColorscale\",\"showLegend\",\"carpetDependent\"],n.meta={},e.exports=n},{\"../../plots/cartesian\":734,\"../scatter/colorbar\":979,\"./attributes\":1005,\"./calc\":1006,\"./defaults\":1007,\"./hover\":1008,\"./plot\":1010,\"./select\":1011,\"./style\":1012}],1010:[function(t,e,r){\"use strict\";var n=t(\"../scatter/plot\"),i=t(\"../../plots/cartesian/axes\");e.exports=function(t,e,r){var a,o,s,l=r[0][0].carpet,u={xaxis:i.getFromId(t,l.xaxis||\"x\"),yaxis:i.getFromId(t,l.yaxis||\"y\"),plot:e.plot};for(n(u.graphDiv,u,r),a=0;a<r.length;a++)o=r[a][0].trace,s=u.plot.selectAll(\"g.trace\"+o.uid+\" .js-line\"),s.attr(\"clip-path\",\"url(#clip\"+l.uid+\"carpet)\")}},{\"../../plots/cartesian/axes\":724,\"../scatter/plot\":993}],1011:[function(t,e,r){\"use strict\";var n=t(\"../scatter/select\");e.exports=function(t,e){var r=n(t,e);if(r){var i,a,o,s=t.cd;for(o=0;o<r.length;o++)i=r[o],a=s[i.pointNumber],i.a=a.a,i.b=a.b,i.c=a.c,delete i.x,delete i.y;return r}}},{\"../scatter/select\":994}],1012:[function(t,e,r){\"use strict\";var n=t(\"../scatter/style\");e.exports=function(t){for(var e=t._fullLayout._modules,r=0;r<e.length;r++)if(\"scatter\"===e[r].name)return;n(t)}},{\"../scatter/style\":995}],1013:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../components/colorscale/color_attributes\"),o=t(\"../../components/drawing/attributes\").dash,s=t(\"../../lib/extend\").extendFlat,l=n.marker,u=n.line,c=l.line;e.exports={lon:{valType:\"data_array\"},lat:{valType:\"data_array\"},locations:{valType:\"data_array\"},locationmode:{valType:\"enumerated\",values:[\"ISO-3\",\"USA-states\",\"country names\"],dflt:\"ISO-3\"},mode:s({},n.mode,{dflt:\"markers\"}),text:s({},n.text,{}),hovertext:s({},n.hovertext,{}),textfont:n.textfont,textposition:n.textposition,line:{color:u.color,width:u.width,dash:o},connectgaps:n.connectgaps,marker:s({},{symbol:l.symbol,opacity:l.opacity,size:l.size,sizeref:l.sizeref,sizemin:l.sizemin,sizemode:l.sizemode,showscale:l.showscale,colorbar:l.colorbar,line:s({},{width:c.width},a(\"marker.line\"))},a(\"marker\")),fill:{valType:\"enumerated\",values:[\"none\",\"toself\"],dflt:\"none\"},fillcolor:n.fillcolor,hoverinfo:s({},i.hoverinfo,{flags:[\"lon\",\"lat\",\"location\",\"text\",\"name\"]})}},{\"../../components/colorscale/color_attributes\":585,\"../../components/drawing/attributes\":601,\"../../lib/extend\":677,\"../../plots/attributes\":722,\"../scatter/attributes\":976}],1014:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../constants/numerical\").BADNUM,a=t(\"../scatter/colorscale_calc\"),o=t(\"../scatter/arrays_to_calcdata\");e.exports=function(t,e){for(var r=Array.isArray(e.locations),s=r?e.locations.length:e.lon.length,l=new Array(s),u=0;u<s;u++){var c=l[u]={};if(r){var h=e.locations[u];c.loc=\"string\"==typeof h?h:null}else{var f=e.lon[u],d=e.lat[u];n(f)&&n(d)?c.lonlat=[+f,+d]:c.lonlat=[i,i]}}return o(l,e),a(e),l}},{\"../../constants/numerical\":666,\"../scatter/arrays_to_calcdata\":975,\"../scatter/colorscale_calc\":980,\"fast-isnumeric\":116}],1015:[function(t,e,r){\"use strict\";function n(t,e,r){var n,i,a=0,o=r(\"locations\");return o?(r(\"locationmode\"),a=o.length):(n=r(\"lon\")||[],i=r(\"lat\")||[],a=Math.min(n.length,i.length),a<n.length&&(e.lon=n.slice(0,a)),a<i.length&&(e.lat=i.slice(0,a)),a)}var i=t(\"../../lib\"),a=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/text_defaults\"),u=t(\"../scatter/fillcolor_defaults\"),c=t(\"./attributes\");e.exports=function(t,e,r,h){function f(r,n){return i.coerce(t,e,c,r,n)}if(!n(t,e,f))return void(e.visible=!1);f(\"text\"),f(\"hovertext\"),f(\"mode\"),a.hasLines(e)&&(s(t,e,r,h,f),f(\"connectgaps\")),a.hasMarkers(e)&&o(t,e,r,h,f),a.hasText(e)&&l(t,e,h,f),f(\"fill\"),\"none\"!==e.fill&&u(t,e,r,f),f(\"hoverinfo\",1===h._dataLength?\"lon+lat+location+text\":void 0)}},{\"../../lib\":685,\"../scatter/fillcolor_defaults\":983,\"../scatter/line_defaults\":987,\"../scatter/marker_defaults\":992,\"../scatter/subtypes\":996,\"../scatter/text_defaults\":997,\"./attributes\":1013}],1016:[function(t,e,r){\"use strict\";e.exports=function(t,e){return t.lon=e.lon,t.lat=e.lat,t.location=e.lon?e.lon:null,t}},{}],1017:[function(t,e,r){\"use strict\";function n(t,e,r){function n(t){return a.tickText(r,r.c2l(t),\"hover\").text+\"\\xb0\"}var i=t.hoverinfo,o=\"all\"===i?l.hoverinfo.flags:i.split(\"+\"),s=o.indexOf(\"location\")!==-1&&Array.isArray(t.locations),u=o.indexOf(\"lon\")!==-1,c=o.indexOf(\"lat\")!==-1,h=o.indexOf(\"text\")!==-1,f=[];if(s?f.push(e.loc):u&&c?f.push(\"(\"+n(e.lonlat[0])+\", \"+n(e.lonlat[1])+\")\"):u?f.push(\"lon: \"+n(e.lonlat[0])):c&&f.push(\"lat: \"+n(e.lonlat[1])),h){var d;e.htx?d=e.htx:t.hovertext?d=t.hovertext:e.tx?d=e.tx:t.text&&(d=t.text),Array.isArray(d)||f.push(d)}return f.join(\"<br>\")}var i=t(\"../../plots/cartesian/graph_interact\"),a=t(\"../../plots/cartesian/axes\"),o=t(\"../../constants/numerical\").BADNUM,s=t(\"../scatter/get_trace_color\"),l=t(\"./attributes\");e.exports=function(t){function e(t){return h.projection(t)}function r(t){var r=t.lonlat;if(r[0]===o)return 1/0;if(h.isLonLatOverEdges(r))return 1/0;var n=e(r),i=u.c2p(),a=c.c2p(),s=Math.abs(i-n[0]),l=Math.abs(a-n[1]),f=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(s*s+l*l)-f,1-3/f)}var a=t.cd,l=a[0].trace,u=t.xa,c=t.ya,h=t.subplot;if(i.getClosest(a,r,t),t.index!==!1){var f=a[t.index],d=f.lonlat,p=e(d),m=f.mrc||1;return t.x0=p[0]-m,t.x1=p[0]+m,t.y0=p[1]-m,t.y1=p[1]+m,t.loc=f.loc,t.lat=d[0],t.lon=d[1],t.color=s(l,f),t.extraText=n(l,f,h.mockAxis),[t]}}},{\"../../constants/numerical\":666,\"../../plots/cartesian/axes\":724,\"../../plots/cartesian/graph_interact\":733,\"../scatter/get_trace_color\":984,\"./attributes\":1013}],1018:[function(t,e,r){\"use strict\";var n={};n.attributes=t(\"./attributes\"),n.supplyDefaults=t(\"./defaults\"),n.colorbar=t(\"../scatter/colorbar\"),n.calc=t(\"./calc\"),n.plot=t(\"./plot\"),n.hoverPoints=t(\"./hover\"),n.eventData=t(\"./event_data\"),n.moduleType=\"trace\",n.name=\"scattergeo\",n.basePlotModule=t(\"../../plots/geo\"),n.categories=[\"geo\",\"symbols\",\"markerColorscale\",\"showLegend\"],n.meta={},e.exports=n},{\"../../plots/geo\":752,\"../scatter/colorbar\":979,\"./attributes\":1013,\"./calc\":1014,\"./defaults\":1015,\"./event_data\":1016,\"./hover\":1017,\"./plot\":1019}],1019:[function(t,e,r){\"use strict\";function n(t,e){var r=t[0].trace;if(Array.isArray(r.locations))for(var n=c(r,e),i=r.locationmode,a=0;a<t.length;a++){var o=t[a],s=h(i,o.loc,n);o.lonlat=s?s.properties.ct:[u,u]}}function i(t){var e=t.framework.selectAll(\"g.trace.scattergeo\");e.style(\"opacity\",function(t){return t[0].trace.opacity}),e.each(function(t){var e=t[0].trace,r=a.select(this);r.selectAll(\"path.point\").call(o.pointStyle,e),r.selectAll(\"text\").call(o.textPointStyle,e)}),e.selectAll(\"path.js-line\").style(\"fill\",\"none\").each(function(t){var e=a.select(this),r=t.trace,n=r.line||{};e.call(s.stroke,n.color).call(o.dashLine,n.dash||\"\",n.width||0),\"none\"!==r.fill&&e.call(s.fill,r.fillcolor)})}var a=t(\"d3\"),o=t(\"../../components/drawing\"),s=t(\"../../components/color\"),l=t(\"../../lib\"),u=t(\"../../constants/numerical\").BADNUM,c=t(\"../../lib/topojson_utils\").getTopojsonFeatures,h=t(\"../../lib/geo_location_utils\").locationToFeature,f=t(\"../../lib/geojson_utils\"),d=t(\"../scatter/subtypes\");e.exports=function(t,e){function r(t){return t[0].trace.uid}function o(t,e){t.lonlat[0]===u&&a.select(e).remove()}for(var s=0;s<e.length;s++)n(e[s],t.topojson);var c=t.framework.select(\".scattergeolayer\").selectAll(\"g.trace.scattergeo\").data(e,r);c.enter().append(\"g\").attr(\"class\",\"trace 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n=t(\"../scatter/attributes\"),i=t(\"../../components/colorscale/color_attributes\"),a=t(\"../../constants/gl2d_dashes\"),o=t(\"../../constants/gl_markers\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../lib/extend\").extendDeep,u=n.line,c=n.marker,h=c.line;e.exports={x:n.x,x0:n.x0,dx:n.dx,y:n.y,y0:n.y0,dy:n.dy,text:s({},n.text,{}),mode:{valType:\"flaglist\",flags:[\"lines\",\"markers\"],extras:[\"none\"]},line:{color:u.color,width:u.width,dash:{valType:\"enumerated\",values:Object.keys(a),dflt:\"solid\"}},marker:l({},i(\"marker\"),{symbol:{valType:\"enumerated\",values:Object.keys(o),dflt:\"circle\",arrayOk:!0},size:c.size,sizeref:c.sizeref,sizemin:c.sizemin,sizemode:c.sizemode,opacity:c.opacity,showscale:c.showscale,colorbar:c.colorbar,line:l({},i(\"marker.line\"),{width:h.width})}),connectgaps:n.connectgaps,fill:s({},n.fill,{values:[\"none\",\"tozeroy\",\"tozerox\"]}),fillcolor:n.fillcolor,error_y:n.error_y,error_x:n.error_x}},{\"../../components/colorscale/color_attributes\":585,\"../../constants/gl2d_dashes\":662,\"../../constants/gl_markers\":664,\"../../lib/extend\":677,\"../scatter/attributes\":976}],1021:[function(t,e,r){\"use strict\";function n(t,e){this.scene=t,this.uid=e,this.type=\"scattergl\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.connectgaps=!0,this.index=null,this.idToIndex=[],this.bounds=[0,0,0,0],this.isVisible=!1,this.hasLines=!1,this.hasErrorX=!1,this.hasErrorY=!1,this.hasMarkers=!1,this.line=this.initObject(d,{positions:new Float64Array(0),color:[0,0,0,1],width:1,fill:[!1,!1,!1,!1],fillColor:[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],dashes:[1]},0),this.errorX=this.initObject(p,{positions:new Float64Array(0),errors:new Float64Array(0),lineWidth:1,capSize:0,color:[0,0,0,1]},1),this.errorY=this.initObject(p,{positions:new Float64Array(0),errors:new Float64Array(0),lineWidth:1,capSize:0,color:[0,0,0,1]},2);var r={positions:new 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v=0;v<a;++v)e=n[v],r=i[v],m(r)&&(d||(e=g.dateTime2ms(e,f)),o[c++]=v,s[h++]=e,s[h++]=r,l[0]=Math.min(l[0],e),l[1]=Math.min(l[1],r),l[2]=Math.max(l[2],e),l[3]=Math.max(l[3],r));s=_(s,h),this.idToIndex=o,this.updateLines(t,s),this.updateError(\"X\",t),this.updateError(\"Y\",t);var b;if(this.hasMarkers){this.scatter.options.positions=s;var w=x(t.marker.color),M=x(t.marker.line.color),k=t.opacity*t.marker.opacity;w[3]*=k,this.scatter.options.color=w,M[3]*=k,this.scatter.options.borderColor=M,b=t.marker.size,this.scatter.options.size=b,this.scatter.options.borderSize=t.marker.line.width,this.scatter.update()}else this.scatter.clear();this.fancyScatter.clear(),this.expandAxesFast(l,b)},L.updateFancy=function(t){var e=this.scene,r=e.xaxis,n=e.yaxis,a=this.bounds,o=this.pickXData=r.makeCalcdata(t,\"x\").slice(),l=this.pickYData=n.makeCalcdata(t,\"y\").slice();this.xData=o.slice(),this.yData=l.slice();var u,c,h,f,d,p,m,g,v=b.calcFromTrace(t,e.fullLayout),y=o.length,x=new Array(y),w=new 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O,j=k(t),R=t.marker,F=R.opacity,N=t.opacity,B=s(R,F,N,y),U=D(R.symbol,y),V=C(R.line.width,y),H=s(R.line,F,N,y);for(P=i(j,R.size,y),u=0;u<T;++u)for(O=x[u],this.scatter.options.sizes[u]=4*P[O],this.scatter.options.glyphs[u]=U[O],this.scatter.options.borderWidths[u]=.5*V[O],c=0;c<4;++c)this.scatter.options.colors[4*u+c]=B[4*O+c],this.scatter.options.borderColors[4*u+c]=H[4*O+c];this.fancyScatter.update()}else this.fancyScatter.clear();this.scatter.clear(),this.expandAxesFancy(o,l,P)},L.updateLines=function(t,e){var r;if(this.hasLines){var n=e;if(!t.connectgaps){var i=0,a=this.xData,s=this.yData;for(n=new Float64Array(2*a.length),r=0;r<a.length;++r)n[i++]=a[r],n[i++]=s[r]}this.line.options.positions=n;var l=o(t.line.color,t.opacity,1),u=Math.round(.5*this.line.options.width),c=(S[t.line.dash]||[1]).slice();for(r=0;r<c.length;++r)c[r]*=u;switch(t.fill){case\"tozeroy\":this.line.options.fill=[!1,!0,!1,!1];break;case\"tozerox\":this.line.options.fill=[!0,!1,!1,!1];break;default:this.line.options.fill=[!1,!1,!1,!1]}var h=x(t.fillcolor);this.line.options.color=l,this.line.options.width=2*t.line.width,this.line.options.dashes=c,this.line.options.fillColor=[h,h,h,h],this.line.update()}else this.line.clear()},L.updateError=function(t,e,r,n){var i=this[\"error\"+t],a=e[\"error_\"+t.toLowerCase()];\"x\"===t.toLowerCase()&&a.copy_ystyle&&(a=e.error_y),this[\"hasError\"+t]?(i.options.positions=r,i.options.errors=n,i.options.capSize=a.width,i.options.lineWidth=a.thickness/2,i.options.color=o(a.color,1,1),i.update()):i.clear()},L.expandAxesFast=function(t,e){for(var r,n,i,a=e||10,o=0;o<2;o++)r=this.scene[E[o]],n=r._min,n||(n=[]),n.push({val:t[o],pad:a}),i=r._max,i||(i=[]),i.push({val:t[o+2],pad:a})},L.expandAxesFancy=function(t,e,r){var n=this.scene,i={padded:!0,ppad:r};v.expand(n.xaxis,t,i),v.expand(n.yaxis,e,i)},L.dispose=function(){this.line.dispose(),this.errorX.dispose(),this.errorY.dispose(),this.scatter.dispose(),this.fancyScatter.dispose()},e.exports=c},{\"../../components/errorbars\":608,\"../../constants/gl2d_dashes\":662,\"../../constants/gl_markers\":664,\"../../lib\":685,\"../../lib/gl_format_color\":682,\"../../lib/str2rgbarray\":703,\"../../lib/typed_array_truncate\":707,\"../../plots/cartesian/axes\":724,\"../../plots/cartesian/axis_autotype\":725,\"../scatter/get_trace_color\":984,\"../scatter/make_bubble_size_func\":991,\"../scatter/subtypes\":996,\"fast-isnumeric\":116,\"gl-error2d\":144,\"gl-line2d\":154,\"gl-scatter2d\":232,\"gl-scatter2d-sdf\":227}],1022:[function(t,e,r){\"use strict\";var 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vt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(v,U),i=Math.imul(v,V),i=i+Math.imul(y,U)|0,a=Math.imul(y,V),n=n+Math.imul(p,q)|0,i=i+Math.imul(p,G)|0,i=i+Math.imul(m,q)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(h,W)|0,i=i+Math.imul(h,X)|0,i=i+Math.imul(f,W)|0,a=a+Math.imul(f,X)|0;var yt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(x,U),i=Math.imul(x,V),i=i+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(v,q)|0,i=i+Math.imul(v,G)|0,i=i+Math.imul(y,q)|0,a=a+Math.imul(y,G)|0,n=n+Math.imul(p,W)|0,i=i+Math.imul(p,X)|0,i=i+Math.imul(m,W)|0,a=a+Math.imul(m,X)|0,n=n+Math.imul(h,J)|0,i=i+Math.imul(h,Q)|0,i=i+Math.imul(f,J)|0,a=a+Math.imul(f,Q)|0;var bt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=Math.imul(M,V),i=i+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(x,q)|0,i=i+Math.imul(x,G)|0,i=i+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(v,W)|0,i=i+Math.imul(v,X)|0,i=i+Math.imul(y,W)|0,a=a+Math.imul(y,X)|0,n=n+Math.imul(p,J)|0,i=i+Math.imul(p,Q)|0,i=i+Math.imul(m,J)|0,a=a+Math.imul(m,Q)|0,n=n+Math.imul(h,$)|0,i=i+Math.imul(h,tt)|0,i=i+Math.imul(f,$)|0,a=a+Math.imul(f,tt)|0;var xt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=Math.imul(T,V),i=i+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(M,q)|0,i=i+Math.imul(M,G)|0,i=i+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(x,W)|0,i=i+Math.imul(x,X)|0,i=i+Math.imul(_,W)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(v,J)|0,i=i+Math.imul(v,Q)|0,i=i+Math.imul(y,J)|0,a=a+Math.imul(y,Q)|0,n=n+Math.imul(p,$)|0,i=i+Math.imul(p,tt)|0,i=i+Math.imul(m,$)|0,a=a+Math.imul(m,tt)|0,n=n+Math.imul(h,rt)|0,i=i+Math.imul(h,nt)|0,i=i+Math.imul(f,rt)|0,a=a+Math.imul(f,nt)|0;var _t=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=Math.imul(L,V),i=i+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(T,q)|0,i=i+Math.imul(T,G)|0,i=i+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(M,W)|0,i=i+Math.imul(M,X)|0,i=i+Math.imul(k,W)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(x,J)|0,i=i+Math.imul(x,Q)|0,i=i+Math.imul(_,J)|0,a=a+Math.imul(_,Q)|0,n=n+Math.imul(v,$)|0,i=i+Math.imul(v,tt)|0,i=i+Math.imul(y,$)|0,a=a+Math.imul(y,tt)|0,n=n+Math.imul(p,rt)|0,i=i+Math.imul(p,nt)|0,i=i+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0,n=n+Math.imul(h,at)|0,i=i+Math.imul(h,ot)|0,i=i+Math.imul(f,at)|0,a=a+Math.imul(f,ot)|0;var wt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(D,U),i=Math.imul(D,V),i=i+Math.imul(I,U)|0,a=Math.imul(I,V),n=n+Math.imul(L,q)|0,i=i+Math.imul(L,G)|0,i=i+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(T,W)|0,i=i+Math.imul(T,X)|0,i=i+Math.imul(S,W)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(M,J)|0,i=i+Math.imul(M,Q)|0,i=i+Math.imul(k,J)|0,a=a+Math.imul(k,Q)|0,n=n+Math.imul(x,$)|0,i=i+Math.imul(x,tt)|0,i=i+Math.imul(_,$)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(v,rt)|0,i=i+Math.imul(v,nt)|0,i=i+Math.imul(y,rt)|0,a=a+Math.imul(y,nt)|0,n=n+Math.imul(p,at)|0,i=i+Math.imul(p,ot)|0,i=i+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0,n=n+Math.imul(h,lt)|0,i=i+Math.imul(h,ut)|0,i=i+Math.imul(f,lt)|0,a=a+Math.imul(f,ut)|0;var 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kt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(F,U),i=Math.imul(F,V),i=i+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(O,q)|0,i=i+Math.imul(O,G)|0,i=i+Math.imul(j,q)|0,a=a+Math.imul(j,G)|0,n=n+Math.imul(D,W)|0,i=i+Math.imul(D,X)|0,i=i+Math.imul(I,W)|0,a=a+Math.imul(I,X)|0,n=n+Math.imul(L,J)|0,i=i+Math.imul(L,Q)|0,i=i+Math.imul(C,J)|0,a=a+Math.imul(C,Q)|0,n=n+Math.imul(T,$)|0,i=i+Math.imul(T,tt)|0,i=i+Math.imul(S,$)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(M,rt)|0,i=i+Math.imul(M,nt)|0,i=i+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(x,at)|0,i=i+Math.imul(x,ot)|0,i=i+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(v,lt)|0,i=i+Math.imul(v,ut)|0,i=i+Math.imul(y,lt)|0,a=a+Math.imul(y,ut)|0,n=n+Math.imul(p,ht)|0,i=i+Math.imul(p,ft)|0,i=i+Math.imul(m,ht)|0,a=a+Math.imul(m,ft)|0,n=n+Math.imul(h,pt)|0,i=i+Math.imul(h,mt)|0,i=i+Math.imul(f,pt)|0,a=a+Math.imul(f,mt)|0;var At=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(F,q),i=Math.imul(F,G),i=i+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(O,W)|0,i=i+Math.imul(O,X)|0,i=i+Math.imul(j,W)|0,a=a+Math.imul(j,X)|0,n=n+Math.imul(D,J)|0,i=i+Math.imul(D,Q)|0,i=i+Math.imul(I,J)|0,a=a+Math.imul(I,Q)|0,n=n+Math.imul(L,$)|0,i=i+Math.imul(L,tt)|0,i=i+Math.imul(C,$)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(T,rt)|0,i=i+Math.imul(T,nt)|0,i=i+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(M,at)|0,i=i+Math.imul(M,ot)|0,i=i+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(x,lt)|0,i=i+Math.imul(x,ut)|0,i=i+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(v,ht)|0,i=i+Math.imul(v,ft)|0,i=i+Math.imul(y,ht)|0,a=a+Math.imul(y,ft)|0,n=n+Math.imul(p,pt)|0,i=i+Math.imul(p,mt)|0,i=i+Math.imul(m,pt)|0,a=a+Math.imul(m,mt)|0;var Tt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(F,W),i=Math.imul(F,X),i=i+Math.imul(N,W)|0,a=Math.imul(N,X),n=n+Math.imul(O,J)|0,i=i+Math.imul(O,Q)|0,i=i+Math.imul(j,J)|0,a=a+Math.imul(j,Q)|0,n=n+Math.imul(D,$)|0,i=i+Math.imul(D,tt)|0,i=i+Math.imul(I,$)|0,a=a+Math.imul(I,tt)|0,n=n+Math.imul(L,rt)|0,i=i+Math.imul(L,nt)|0,i=i+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(T,at)|0,i=i+Math.imul(T,ot)|0,i=i+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(M,lt)|0,i=i+Math.imul(M,ut)|0,i=i+Math.imul(k,lt)|0,a=a+Math.imul(k,ut)|0,n=n+Math.imul(x,ht)|0,i=i+Math.imul(x,ft)|0,i=i+Math.imul(_,ht)|0,a=a+Math.imul(_,ft)|0,n=n+Math.imul(v,pt)|0,i=i+Math.imul(v,mt)|0,i=i+Math.imul(y,pt)|0,a=a+Math.imul(y,mt)|0;var St=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(F,J),i=Math.imul(F,Q),i=i+Math.imul(N,J)|0,a=Math.imul(N,Q),n=n+Math.imul(O,$)|0,i=i+Math.imul(O,tt)|0,i=i+Math.imul(j,$)|0,a=a+Math.imul(j,tt)|0,n=n+Math.imul(D,rt)|0,i=i+Math.imul(D,nt)|0,i=i+Math.imul(I,rt)|0,a=a+Math.imul(I,nt)|0,n=n+Math.imul(L,at)|0,i=i+Math.imul(L,ot)|0,i=i+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(T,lt)|0,i=i+Math.imul(T,ut)|0,i=i+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|0,n=n+Math.imul(M,ht)|0,i=i+Math.imul(M,ft)|0,i=i+Math.imul(k,ht)|0,a=a+Math.imul(k,ft)|0,n=n+Math.imul(x,pt)|0,i=i+Math.imul(x,mt)|0,i=i+Math.imul(_,pt)|0,a=a+Math.imul(_,mt)|0;var Et=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(F,$),i=Math.imul(F,tt),i=i+Math.imul(N,$)|0,a=Math.imul(N,tt),n=n+Math.imul(O,rt)|0,i=i+Math.imul(O,nt)|0,i=i+Math.imul(j,rt)|0,a=a+Math.imul(j,nt)|0,n=n+Math.imul(D,at)|0,i=i+Math.imul(D,ot)|0,i=i+Math.imul(I,at)|0,a=a+Math.imul(I,ot)|0,n=n+Math.imul(L,lt)|0,i=i+Math.imul(L,ut)|0,i=i+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(T,ht)|0,i=i+Math.imul(T,ft)|0,i=i+Math.imul(S,ht)|0,a=a+Math.imul(S,ft)|0,n=n+Math.imul(M,pt)|0,i=i+Math.imul(M,mt)|0,i=i+Math.imul(k,pt)|0,a=a+Math.imul(k,mt)|0;var Lt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(F,rt),i=Math.imul(F,nt),i=i+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(O,at)|0,i=i+Math.imul(O,ot)|0,i=i+Math.imul(j,at)|0,a=a+Math.imul(j,ot)|0,n=n+Math.imul(D,lt)|0,i=i+Math.imul(D,ut)|0,i=i+Math.imul(I,lt)|0,a=a+Math.imul(I,ut)|0,n=n+Math.imul(L,ht)|0,i=i+Math.imul(L,ft)|0,i=i+Math.imul(C,ht)|0,a=a+Math.imul(C,ft)|0,n=n+Math.imul(T,pt)|0,i=i+Math.imul(T,mt)|0,i=i+Math.imul(S,pt)|0,a=a+Math.imul(S,mt)|0;var Ct=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(F,at),i=Math.imul(F,ot),i=i+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(O,lt)|0,i=i+Math.imul(O,ut)|0,i=i+Math.imul(j,lt)|0,a=a+Math.imul(j,ut)|0,n=n+Math.imul(D,ht)|0,i=i+Math.imul(D,ft)|0,i=i+Math.imul(I,ht)|0,a=a+Math.imul(I,ft)|0,n=n+Math.imul(L,pt)|0,i=i+Math.imul(L,mt)|0,i=i+Math.imul(C,pt)|0,a=a+Math.imul(C,mt)|0;var zt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863,n=Math.imul(F,lt),i=Math.imul(F,ut),i=i+Math.imul(N,lt)|0,a=Math.imul(N,ut),n=n+Math.imul(O,ht)|0,i=i+Math.imul(O,ft)|0,i=i+Math.imul(j,ht)|0,a=a+Math.imul(j,ft)|0,n=n+Math.imul(D,pt)|0,i=i+Math.imul(D,mt)|0,i=i+Math.imul(I,pt)|0,a=a+Math.imul(I,mt)|0;var Dt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Dt>>>26)|0,Dt&=67108863,n=Math.imul(F,ht),i=Math.imul(F,ft),i=i+Math.imul(N,ht)|0,a=Math.imul(N,ft),n=n+Math.imul(O,pt)|0,i=i+Math.imul(O,mt)|0,i=i+Math.imul(j,pt)|0,a=a+Math.imul(j,mt)|0;var It=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(F,pt),i=Math.imul(F,mt),i=i+Math.imul(N,pt)|0,a=Math.imul(N,mt);var Pt=(u+n|0)+((8191&i)<<13)|0;return u=(a+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,l[0]=gt,l[1]=vt,l[2]=yt,l[3]=bt,l[4]=xt,l[5]=_t,l[6]=wt,l[7]=Mt,l[8]=kt,l[9]=At,l[10]=Tt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=zt,l[16]=Dt,l[17]=It,l[18]=Pt,0!==u&&(l[19]=u,r.length++),r};Math.imul||(k=u),a.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?k(this,t,e):r<63?u(this,t,e):r<1024?c(this,t,e):h(this,t,e)},f.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},f.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},f.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},f.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),u=Math.sin(2*Math.PI/s),c=0;c<i;c+=s)for(var h=l,f=u,d=0;d<o;d++){var p=r[c+d],m=n[c+d],g=r[c+d+o],v=n[c+d+o],y=h*g-f*v;v=h*v+f*g,g=y,r[c+d]=p+g,n[c+d]=m+v,r[c+d+o]=p-g,n[c+d+o]=m-v,d!==s&&(y=l*h-u*f,f=l*f+u*h,h=y)}},f.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},f.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},f.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},f.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(a&-8192))},f.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},f.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),u=new Array(n),c=new Array(n),h=new Array(n),f=r.words;f.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,u,n),this.transform(o,a,s,l,n,i),this.transform(u,a,c,h,n,i);for(var d=0;d<n;d++){var p=s[d]*c[d]-l[d]*h[d];l[d]=s[d]*h[d]+l[d]*c[d],s[d]=p}return this.conjugate(s,l,n),this.transform(s,l,f,a,n,i),this.conjugate(f,a,n),this.normalize13b(f,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),h(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=l(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){\n",
       "n(\"number\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){n(\"number\"==typeof t&&t>=0);var i;i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var u=0;u<o;u++)l.words[u]=this.words[u];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,u=0;u<this.length;u++)this.words[u]=this.words[u+o];else this.words[0]=0,this.length=1;var c=0;for(u=this.length-1;u>=0&&(0!==c||u>=i);u--){var h=0|this.words[u];this.words[u]=c<<26-a|h>>>a,c=h&s}return l&&0!==c&&(l.words[l.length++]=c),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r)&&!!(this.words[r]&i)},a.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a=t.length+r;this._expand(a);var o,s=0;for(i=0;i<t.length;i++){o=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;o-=67108863&l,s=(o>>26)-(l/67108864|0),this.words[i+r]=67108863&o}for(;i<this.length-r;i++)o=(0|this.words[i+r])+s,s=o>>26,this.words[i+r]=67108863&o;if(0===s)return this.strip();for(n(s===-1),s=0,i=0;i<this.length;i++)o=-(0|this.words[i])+s,s=o>>26,this.words[i]=67108863&o;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=this.length-t.length,n=this.clone(),i=t,o=0|i.words[i.length-1];0!==(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){s=new a(null),s.length=l+1,s.words=new Array(s.length);for(var u=0;u<s.length;u++)s.words[u]=0}var c=n.clone()._ishlnsubmul(i,1,l);0===c.negative&&(n=c,s&&(s.words[l]=1));for(var h=l-1;h>=0;h--){var f=67108864*(0|n.words[i.length+h])+(0|n.words[i.length+h-1]);for(f=Math.min(f/o|0,67108863),n._ishlnsubmul(i,f,h);0!==n.negative;)f--,n.negative=0,n._ishlnsubmul(i,1,h),n.isZero()||(n.negative^=1);s&&(s.words[h]=f)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){if(n(!t.isZero()),this.isZero())return{div:new a(0),mod:new a(0)};var i,o,s;return 0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e)},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),u=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),h=e.clone();!e.isZero();){for(var f=0,d=1;0==(e.words[0]&d)&&f<26;++f,d<<=1);if(f>0)for(e.iushrn(f);f-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(c),o.isub(h)),i.iushrn(1),o.iushrn(1);for(var p=0,m=1;0==(r.words[0]&m)&&p<26;++p,m<<=1);if(p>0)for(r.iushrn(p);p-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),l.isub(h)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(u)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var l=0,u=1;0==(e.words[0]&u)&&l<26;++l,u<<=1);if(l>0)for(e.iushrn(l);l-- >0;)i.isOdd()&&i.iadd(s),i.iushrn(1);for(var c=0,h=1;0==(r.words[0]&h)&&c<26;++c,h<<=1);if(c>0)for(r.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(s),o.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(o)):(r.isub(e),o.isub(i))}var f;return f=0===e.cmpn(1)?i:o,f.cmpn(0)<0&&f.iadd(t),f},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];s+=a,a=s>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e=t<0;if(0!==this.negative&&!e)return-1;if(0===this.negative&&e)return 1;this.strip();var r;if(this.length>1)r=1;else{e&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];r=i===t?0:i<t?-1:1}return 0!==this.negative?0|-r:r},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return this.cmpn(t)===-1},a.prototype.lt=function(t){return this.cmp(t)===-1},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new y(t)},a.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,\"Already a number in reduction context\"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var A={k256:null,p224:null,p192:null,p25519:null};d.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},d.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),r=this.imulK(r),r=r.iadd(this.tmp),e=r.bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):r.strip(),r},d.prototype.split=function(t,e){t.iushrn(this.n,0,e)},d.prototype.imulK=function(t){return t.imul(this.k)},i(p,d),p.prototype.split=function(t,e){for(var r=Math.min(t.length,9),n=0;n<r;n++)e.words[n]=t.words[n];if(e.length=r,t.length<=9)return t.words[0]=0,void(t.length=1);var i=t.words[9];for(e.words[e.length++]=4194303&i,n=10;n<t.length;n++){var a=0|t.words[n];t.words[n-10]=(4194303&a)<<4|i>>>22,i=a}i>>>=22,t.words[n-10]=i,0===i&&t.length>10?t.length-=10:t.length-=9},p.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(m,d),i(g,d),i(v,d),v.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(A[t])return A[t];var e;if(\"k256\"===t)e=new p;else if(\"p224\"===t)e=new m;else if(\"p192\"===t)e=new g;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new v}return A[t]=e,e},y.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},y.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},y.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},y.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},y.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},y.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},y.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},y.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},y.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},y.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},y.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},y.prototype.isqr=function(t){return this.imul(t,t.clone())},y.prototype.sqr=function(t){return this.mul(t,t)},y.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),u=this.m.subn(1).iushrn(1),c=this.m.bitLength();for(c=new 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E=0;E<3;++E)j[E]+=M*O[E]*this.tickPad[E]/r[5*E];this._text.drawTicks(k,this.tickSize[k],this.tickAngle[k],j,this.tickColor[k])}if(this.labelEnable[k]){for(var E=0;E<3;++E)j[E]+=M*O[E]*this.labelPad[E]/r[5*E];j[k]+=.5*(s[0][k]+s[1][k]),this._text.drawLabel(k,this.labelSize[k],this.labelAngle[k],j,this.labelColor[k])}}},p.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{\"./lib/background.js\":134,\"./lib/cube.js\":135,\"./lib/lines.js\":136,\"./lib/text.js\":138,\"./lib/ticks.js\":139}],134:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}function i(t){for(var e=[],r=[],i=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(l+2)%3,h=[0,0,0],f=[0,0,0],d=-1;d<=1;d+=2){r.push(i,i+2,i+1,i+1,i+2,i+3),h[l]=d,f[l]=d;for(var p=-1;p<=1;p+=2){h[u]=p;for(var m=-1;m<=1;m+=2)h[c]=m,e.push(h[0],h[1],h[2],f[0],f[1],f[2]),i+=1}var g=u;u=c,c=g}var v=a(t,new 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R=O^1<<m;if(R!==_&&R!==P){j<0&&(j=R);var T=f[R];T[0]<f[j][0]&&(j=R)}}for(var F=-1,m=0;m<3;++m){var R=O^1<<m;if(R!==_&&R!==P&&R!==j){F<0&&(F=R);var T=f[R];T[0]>f[F][0]&&(F=R)}}var N=g;N[0]=N[1]=N[2]=0,N[o.log2(j^O)]=O&j,N[o.log2(O^F)]=O&F;var B=7^F;B===_||B===P?(B=7^j,N[o.log2(F^B)]=B&F):N[o.log2(j^B)]=B&j;for(var U=v,V=_,k=0;k<3;++k)U[k]=V&1<<k?-1:1;return y}e.exports=a;var o=t(\"bit-twiddle\"),s=t(\"gl-mat4/multiply\"),l=(t(\"gl-mat4/invert\"),t(\"split-polygon\")),u=t(\"robust-orientation\"),c=new Array(16),h=(new Array(16),new Array(8)),f=new Array(8),d=new Array(3),p=[0,0,0];!function(){for(var t=0;t<8;++t)h[t]=[1,1,1,1],f[t]=[1,1,1]}();var m=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]],g=[1,1,1],v=[0,0,0],y={cubeEdges:g,axis:v}},{\"bit-twiddle\":60,\"gl-mat4/invert\":165,\"gl-mat4/multiply\":167,\"robust-orientation\":489,\"split-polygon\":507}],136:[function(t,e,r){\"use strict\";function n(t){return t[0]=t[1]=t[2]=0,t}function i(t,e){return 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s=t(\"gl-buffer\"),l=t(\"gl-vao\"),u=t(\"./shaders\").line,c=[0,0,0],h=[0,0,0],f=[0,0,0],d=[0,0,0],p=[1,1],m=a.prototype;m.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,p[0]=this.gl.drawingBufferWidth,p[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=p,this.vao.bind()},m.drawAxisLine=function(t,e,r,a,o){var s=n(h);this.shader.uniforms.majorAxis=h,s[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=s;var l=i(d,r);l[t]+=e[0][t],this.shader.uniforms.offset=l,this.shader.uniforms.lineWidth=o,this.shader.uniforms.color=a;var u=n(f);u[(t+2)%3]=1,this.shader.uniforms.screenAxis=u,this.vao.draw(this.gl.TRIANGLES,6);var u=n(f);u[(t+1)%3]=1,this.shader.uniforms.screenAxis=u,this.vao.draw(this.gl.TRIANGLES,6)},m.drawAxisTicks=function(t,e,r,i,a){if(this.tickCount[t]){var o=n(c);o[t]=1,this.shader.uniforms.majorAxis=o,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=i,this.shader.uniforms.lineWidth=a;var s=n(f);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},m.drawGrid=function(t,e,r,a,o,s){if(this.gridCount[t]){var l=n(h);l[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=l;var u=i(d,a);u[e]+=r[0][e],this.shader.uniforms.offset=u;var p=n(c);p[t]=1,this.shader.uniforms.majorAxis=p;var m=n(f);m[t]=1,this.shader.uniforms.screenAxis=m,this.shader.uniforms.lineWidth=s,this.shader.uniforms.color=o,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},m.drawZero=function(t,e,r,a,o,s){var l=n(h);this.shader.uniforms.majorAxis=l,l[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=l;var u=i(d,a);u[t]+=r[0][t],this.shader.uniforms.offset=u;var c=n(f);c[e]=1,this.shader.uniforms.screenAxis=c,this.shader.uniforms.lineWidth=s,this.shader.uniforms.color=o,this.vao.draw(this.gl.TRIANGLES,6)},m.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{\"./shaders\":137,\"gl-buffer\":141,\"gl-vao\":255}],137:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\");r.line=function(t){return n(t,\"#define GLSLIFY 1\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\",\"precision mediump float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\",null,[{name:\"position\",type:\"vec3\"}])};r.text=function(t){return n(t,\"#define GLSLIFY 1\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvoid main() {  \\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n  mat2 planeXform = scale * mat2(cos(angle), sin(angle),\\n                                -sin(angle), cos(angle));\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n  vec4 worldPosition = model * vec4(dataPosition, 1);\\n  \\n  //Compute clip position\\n  vec4 viewPosition = view * worldPosition;\\n  vec4 clipPosition = projection * viewPosition;\\n  clipPosition /= clipPosition.w;\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec4(viewOffset, 0, 0);\\n\\n  //Done\\n  gl_Position = clipPosition;\\n}\",\"precision mediump float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\",null,[{name:\"position\",type:\"vec3\"}])};r.bg=function(t){return n(t,\"#define GLSLIFY 1\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  if(dot(normal, enable) > 0.0) {\\n    vec3 nPosition = mix(bounds[0], bounds[1], 0.5 * (position + 1.0));\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n  colorChannel = abs(normal);\\n}\",\"precision mediump float;\\n#define 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       "var a=h[r];a||(a=h[r]={});var o=a[e];o||(o=a[e]=i(e,{triangles:!0,font:r,textAlign:\"center\",textBaseline:\"middle\"}));for(var l=(n||12)/12,u=o.positions,c=o.cells,f=0,d=c.length;f<d;++f)for(var p=c[f],m=2;m>=0;--m){var g=u[p[m]];s.push(l*g[0],-l*g[1],t)}}for(var s=(this.gl,[]),l=[0,0,0],u=[0,0,0],c=[0,0,0],f=[0,0,0],d=0;d<3;++d){c[d]=s.length/3|0,o(.5*(t[0][d]+t[1][d]),e[d],r),f[d]=(s.length/3|0)-c[d],l[d]=s.length/3|0;for(var p=0;p<n[d].length;++p)n[d][p].text&&o(n[d][p].x,n[d][p].text,n[d][p].font||a,n[d][p].fontSize||12);u[d]=(s.length/3|0)-l[d]}this.buffer.update(s),this.tickOffset=l,this.tickCount=u,this.labelOffset=c,this.labelCount=f};var p=[0,0,0];f.drawTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=p;a[0]=a[1]=a[2]=0,a[t]=1,this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}};var m=[0,0,0];f.drawLabel=function(t,e,r,n,i){this.labelCount[t]&&(this.shader.uniforms.axis=m,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},f.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this,t(\"_process\"))},{\"./shaders\":137,_process:468,\"gl-buffer\":141,\"gl-vao\":255,\"vectorize-text\":534}],139:[function(t,e,r){\"use strict\";function n(t,e){var r=t+\"\",n=r.indexOf(\".\"),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/a,u=o%a;o<0?(l=0|-Math.ceil(l),u=0|-u):(l=0|Math.floor(l),u|=0);var c=\"\"+l;if(o<0&&(c=\"-\"+c),i){for(var h=\"\"+u;h.length<i;)h=\"0\"+h;return c+\".\"+h}return c}function i(t,e){for(var r=[],i=0;i<3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]<=t[1][i];++o)a.push({x:o*e[i],text:n(e[i],o)});for(var o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:n(e[i],o)});r.push(a)}return r}function a(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}r.create=i,r.equal=a},{}],140:[function(t,e,r){\"use strict\";function n(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}function i(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=p,s=m,l=0;l<3;++l)s[l]=o[l]=r[l];s[3]=o[3]=1,s[a]+=1,h(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,h(o,o,e),o[3]<0&&(t[a]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,c=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(u*u+c*c)}return t}function a(t,e,r,n,a){var h=e.model||f,p=e.view||f,m=e.projection||f,y=t.bounds,a=a||l(h,p,m,y),b=a.axis;a.edges;u(d,p,h),u(d,m,d);for(var x=g,_=0;_<3;++_)x[_].lo=1/0,x[_].hi=-1/0,x[_].pixelsPerDataUnit=1/0;var w=o(c(d,d));c(d,d);for(var M=0;M<3;++M){var k=(M+1)%3,A=(M+2)%3,T=v;t:for(var _=0;_<2;++_){var S=[];if(b[M]<0!=!!_){T[M]=y[_][M];for(var E=0;E<2;++E){T[k]=y[E^_][k];for(var L=0;L<2;++L)T[A]=y[L^E^_][A],S.push(T.slice())}for(var E=0;E<w.length;++E){if(0===S.length)continue t;S=s.positive(S,w[E])}for(var E=0;E<S.length;++E)for(var A=S[E],C=i(v,d,A,r,n),L=0;L<3;++L)x[L].lo=Math.min(x[L].lo,A[L]),x[L].hi=Math.max(x[L].hi,A[L]),L!==M&&(x[L].pixelsPerDataUnit=Math.min(x[L].pixelsPerDataUnit,Math.abs(C[L])))}}}return x}e.exports=a;var o=t(\"extract-frustum-planes\"),s=t(\"split-polygon\"),l=t(\"./lib/cube.js\"),u=t(\"gl-mat4/multiply\"),c=t(\"gl-mat4/transpose\"),h=t(\"gl-vec4/transformMat4\"),f=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),d=new Float32Array(16),p=[0,0,0,1],m=[0,0,0,1],g=[new n(1/0,-1/0,1/0),new n(1/0,-1/0,1/0),new n(1/0,-1/0,1/0)],v=[0,0,0]},{\"./lib/cube.js\":135,\"extract-frustum-planes\":115,\"gl-mat4/multiply\":167,\"gl-mat4/transpose\":175,\"gl-vec4/transformMat4\":261,\"split-polygon\":507}],141:[function(t,e,r){\"use strict\";function n(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}function i(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function a(t,e){for(var r=l.malloc(t.length,e),n=t.length,i=0;i<n;++i)r[i]=t[i];return r}function o(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}function s(t,e,r,i){if(r=r||t.ARRAY_BUFFER,i=i||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(i!==t.DYNAMIC_DRAW&&i!==t.STATIC_DRAW&&i!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var a=t.createBuffer(),o=new n(t,r,a,0,i);return o.update(e),o}var l=t(\"typedarray-pool\"),u=t(\"ndarray-ops\"),c=t(\"ndarray\"),h=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"],f=n.prototype;f.bind=function(){this.gl.bindBuffer(this.type,this.handle)},f.unbind=function(){this.gl.bindBuffer(this.type,null)},f.dispose=function(){this.gl.deleteBuffer(this.handle)},f.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&void 0!==t.shape){var r=t.dtype;if(h.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER){r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\"}if(r===t.dtype&&o(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=i(this.gl,this.type,this.length,this.usage,t.data,e):this.length=i(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var n=l.malloc(t.size,r),s=c(n,t.shape);u.assign(s,t),this.length=e<0?i(this.gl,this.type,this.length,this.usage,n,e):i(this.gl,this.type,this.length,this.usage,n.subarray(0,t.size),e),l.free(n)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?a(t,\"uint16\"):a(t,\"float32\"),this.length=e<0?i(this.gl,this.type,this.length,this.usage,f,e):i(this.gl,this.type,this.length,this.usage,f.subarray(0,t.length),e),l.free(f)}else if(\"object\"==typeof t&&\"number\"==typeof 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n=t(\"./1.0/numbers\");e.exports=function(t){return n[t]}},{\"./1.0/numbers\":142}],144:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.plot=t,this.shader=e,this.bufferHi=r,this.bufferLo=n,this.bounds=[1/0,1/0,-1/0,-1/0],this.numPoints=0,this.color=[0,0,0,1]}function i(t,e){var r=a(t.gl,l.vertex,l.fragment),i=o(t.gl),s=o(t.gl),u=new n(t,r,i,s);return u.update(e),t.addObject(u),u}var a=t(\"gl-shader\"),o=t(\"gl-buffer\"),s=t(\"typedarray-pool\"),l=t(\"./lib/shaders\");e.exports=i;var u=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]],c=n.prototype;c.draw=function(){var t=new Float32Array([0,0]),e=new Float32Array([0,0]),r=new Float32Array([0,0]),n=new Float32Array([0,0]),i=[1,1];return function(){var a=this.plot,o=this.shader,s=this.bounds,l=this.numPoints;if(l){var c=a.gl,h=a.dataBox,f=a.viewBox,d=a.pixelRatio,p=s[2]-s[0],m=s[3]-s[1],g=h[2]-h[0],v=h[3]-h[1],y=2*p/g,b=2*m/v,x=(s[0]-h[0]-.5*g)/p,_=(s[1]-h[1]-.5*v)/m;t[0]=y,t[1]=b,e[0]=y-t[0],e[1]=b-t[1],r[0]=x,r[1]=_,n[0]=x-r[0],n[1]=_-r[1];var w=f[2]-f[0],M=f[3]-f[1];i[0]=2*d/w,i[1]=2*d/M,o.bind(),o.uniforms.scaleHi=t,o.uniforms.scaleLo=e,o.uniforms.translateHi=r,o.uniforms.translateLo=n,o.uniforms.pixelScale=i,o.uniforms.color=this.color,this.bufferLo.bind(),o.attributes.positionLo.pointer(c.FLOAT,!1,16,0),this.bufferHi.bind(),o.attributes.positionHi.pointer(c.FLOAT,!1,16,0),o.attributes.pixelOffset.pointer(c.FLOAT,!1,16,8),c.drawArrays(c.TRIANGLES,0,l*u.length)}}}(),c.drawPick=function(t){return t},c.pick=function(){return null},c.update=function(t){t=t||{};var e,r,n,i=t.positions||[],a=t.errors||[],o=1;\"lineWidth\"in t&&(o=+t.lineWidth);var l=5;\"capSize\"in t&&(l=+t.capSize),this.color=(t.color||[0,0,0,1]).slice();var c=this.bounds=[1/0,1/0,-1/0,-1/0],h=this.numPoints=i.length>>1;for(e=0;e<h;++e)r=i[2*e],n=i[2*e+1],c[0]=Math.min(r,c[0]),c[1]=Math.min(n,c[1]),c[2]=Math.max(r,c[2]),c[3]=Math.max(n,c[3]);c[2]===c[0]&&(c[2]+=1),c[3]===c[1]&&(c[3]+=1);var f=1/(c[2]-c[0]),d=1/(c[3]-c[1]),p=c[0],m=c[1],g=s.mallocFloat64(h*u.length*4),v=s.mallocFloat32(h*u.length*4),y=s.mallocFloat32(h*u.length*4),b=0;for(e=0;e<h;++e){r=i[2*e],n=i[2*e+1];for(var x=a[4*e],_=a[4*e+1],w=a[4*e+2],M=a[4*e+3],k=0;k<u.length;++k){var A=u[k],T=A[0],S=A[1];T<0?T*=x:T>0&&(T*=_),S<0?S*=w:S>0&&(S*=M),g[b++]=f*(r-p+T),g[b++]=d*(n-m+S),g[b++]=o*A[2]+(l+o)*A[4],g[b++]=o*A[3]+(l+o)*A[5]}}for(e=0;e<g.length;e++)v[e]=g[e],y[e]=g[e]-v[e];this.bufferHi.update(v),this.bufferLo.update(y),s.free(g)},c.dispose=function(){this.plot.removeObject(this),this.shader.dispose(),this.bufferHi.dispose(),this.bufferLo.dispose()}},{\"./lib/shaders\":145,\"gl-buffer\":141,\"gl-shader\":239,\"typedarray-pool\":521}],145:[function(t,e,r){e.exports={vertex:\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 positionHi;\\nattribute vec2 positionLo;\\nattribute vec2 pixelOffset;\\n\\nuniform vec2 scaleHi, scaleLo, translateHi, translateLo, pixelScale;\\n\\nvec2 project(vec2 scHi, vec2 trHi, vec2 scLo, vec2 trLo, vec2 posHi, vec2 posLo) {\\n  return (posHi + trHi) * scHi\\n       + (posLo + trLo) * scHi\\n       + (posHi + trHi) * scLo\\n       + (posLo + trLo) * scLo;\\n}\\n\\nvoid main() {\\n  vec3 scrPosition = vec3(\\n         project(scaleHi, translateHi, scaleLo, translateLo, positionHi, positionLo),\\n         1);\\n  gl_Position = vec4(\\n    scrPosition.xy + scrPosition.z * pixelScale * pixelOffset,\\n    0,\\n    scrPosition.z);\\n}\\n\",fragment:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = vec4(color.rgb * color.a, color.a);\\n}\\n\"}},{}],146:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1}function i(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}function a(t,e,r,n){for(var i=f[n],a=0;a<i.length;++a){var o=i[a];t.push(e[0],e[1],e[2],r[0],r[1],r[2],r[3],o[0],o[1],o[2])}return i.length}function o(t){var e=t.gl,r=s(e),i=l(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),a=u(e);a.attributes.position.location=0,a.attributes.color.location=1,a.attributes.offset.location=2;var o=new n(e,r,i,a);return o.update(t),o}e.exports=o;var s=t(\"gl-buffer\"),l=t(\"gl-vao\"),u=t(\"./shaders/index\"),c=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],h=n.prototype;h.isOpaque=function(){return this.opacity>=1},h.isTransparent=function(){return this.opacity<1},h.drawTransparent=h.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||c,i=r.projection=t.projection||c;r.model=t.model||c,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],o=n[13],s=n[14],l=n[15],u=this.pixelRatio*(i[3]*a+i[7]*o+i[11]*s+i[15]*l)/e.drawingBufferHeight;this.vao.bind();for(var h=0;h<3;++h)e.lineWidth(this.lineWidth[h]),r.capSize=this.capSize[h]*u,e.drawArrays(e.LINES,this.lineOffset[h],this.lineCount[h]);this.vao.unbind()};var f=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=(n+e)%3,o=[0,0,0];o[a]=i,r.push(o)}t[e]=r}return t}();h.update=function(t){t=t||{},\"lineWidth\"in t&&(this.lineWidth=t.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),\"capSize\"in t&&(this.capSize=t.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),\"opacity\"in t&&(this.opacity=t.opacity);var e=t.color||[[0,0,0],[0,0,0],[0,0,0]],r=t.position,n=t.error;if(Array.isArray(e[0])||(e=[e,e,e]),r&&n){var o=[],s=r.length,l=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var u=0;u<3;++u){this.lineOffset[u]=l;t:for(var c=0;c<s;++c){for(var h=r[c],f=0;f<3;++f)if(isNaN(h[f])||!isFinite(h[f]))continue t;var d=n[c],p=e[u];if(Array.isArray(p[0])&&(p=e[c]),3===p.length&&(p=[p[0],p[1],p[2],1]),!isNaN(d[0][u])&&!isNaN(d[1][u])){if(d[0][u]<0){var m=h.slice();m[u]+=d[0][u],o.push(h[0],h[1],h[2],p[0],p[1],p[2],p[3],0,0,0,m[0],m[1],m[2],p[0],p[1],p[2],p[3],0,0,0),i(this.bounds,m),l+=2+a(o,m,p,u)}if(d[1][u]>0){var m=h.slice();m[u]+=d[1][u],o.push(h[0],h[1],h[2],p[0],p[1],p[2],p[3],0,0,0,m[0],m[1],m[2],p[0],p[1],p[2],p[3],0,0,0),i(this.bounds,m),l+=2+a(o,m,p,u)}}}this.lineCount[u]=l-this.lineOffset[u]}this.buffer.update(o)}},h.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},{\"./shaders/index\":147,\"gl-buffer\":141,\"gl-vao\":255}],147:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\");e.exports=function(t){return n(t,\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, offset;\\nattribute vec4 color;\\nuniform mat4 model, view, projection;\\nuniform float capSize;\\nvarying vec4 fragColor;\\nvarying vec3 fragPosition;\\n\\nvoid main() {\\n  vec4 worldPosition  = model * vec4(position, 1.0);\\n  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\\n  gl_Position         = projection * view * worldPosition;\\n  fragColor           = color;\\n  fragPosition        = position;\\n}\",\"precision mediump float;\\n#define GLSLIFY 1\\nuniform vec3 clipBounds[2];\\nuniform float opacity;\\nvarying vec3 fragPosition;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if(any(lessThan(fragPosition, clipBounds[0])) || any(greaterThan(fragPosition, clipBounds[1]))) {\\n    discard;\\n  }\\n  gl_FragColor = opacity * fragColor;\\n}\",null,[{name:\"position\",type:\"vec3\"},{name:\"offset\",type:\"vec3\"},{name:\"color\",type:\"vec4\"}])}},{\"gl-shader\":239}],148:[function(t,e,r){\"use strict\";function n(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function i(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function a(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);y=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(var a=n;a<r;++a)i[a]=t.NONE;y[n]=i}}function o(t){switch(t){case p:throw new Error(\"gl-fbo: Framebuffer unsupported\");case m:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case g:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case v:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function s(t,e,r,n,i,a){if(!n)return null;var o=d(t,e,r,i,n);return o.magFilter=t.NEAREST,o.minFilter=t.NEAREST,o.mipSamples=1,o.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,a,t.TEXTURE_2D,o.handle,0),o}function l(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function u(t){var e=n(t.gl),r=t.gl,a=t.handle=r.createFramebuffer(),u=t._shape[0],c=t._shape[1],h=t.color.length,f=t._ext,d=t._useStencil,p=t._useDepth,m=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,a);for(var g=0;g<h;++g)t.color[g]=s(r,u,c,m,r.RGBA,r.COLOR_ATTACHMENT0+g);0===h?(t._color_rb=l(r,u,c,r.RGBA4,r.COLOR_ATTACHMENT0),f&&f.drawBuffersWEBGL(y[0])):h>1&&f.drawBuffersWEBGL(y[h]);var v=r.getExtension(\"WEBGL_depth_texture\");v?d?t.depth=s(r,u,c,v.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):p&&(t.depth=s(r,u,c,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):p&&d?t._depth_rb=l(r,u,c,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):p?t._depth_rb=l(r,u,c,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=l(r,u,c,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var b=r.checkFramebufferStatus(r.FRAMEBUFFER);if(b!==r.FRAMEBUFFER_COMPLETE){t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null);for(var g=0;g<t.color.length;++g)t.color[g].dispose(),t.color[g]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),i(r,e),o(b)}i(r,e)}function c(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var l=0;l<i;++l)this.color[l]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var c=this,h=[0|e,0|r];Object.defineProperties(h,{0:{get:function(){return c._shape[0]},set:function(t){return c.width=t}},1:{get:function(){return c._shape[1]},set:function(t){return c.height=t}}}),this._shapeVector=h,u(this)}function h(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var a=t.gl,s=a.getParameter(a.MAX_RENDERBUFFER_SIZE);if(e<0||e>s||r<0||r>s)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var l=n(a),u=0;u<t.color.length;++u)t.color[u].shape=t._shape;t._color_rb&&(a.bindRenderbuffer(a.RENDERBUFFER,t._color_rb),a.renderbufferStorage(a.RENDERBUFFER,a.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(a.bindRenderbuffer(a.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?a.renderbufferStorage(a.RENDERBUFFER,a.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?a.renderbufferStorage(a.RENDERBUFFER,a.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&a.renderbufferStorage(a.RENDERBUFFER,a.STENCIL_INDEX,t._shape[0],t._shape[1])),a.bindFramebuffer(a.FRAMEBUFFER,t.handle);var c=a.checkFramebufferStatus(a.FRAMEBUFFER);c!==a.FRAMEBUFFER_COMPLETE&&(t.dispose(),i(a,l),o(c)),i(a,l)}}function f(t,e,r,n){p||(p=t.FRAMEBUFFER_UNSUPPORTED,m=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,g=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,v=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var i=t.getExtension(\"WEBGL_draw_buffers\");if(!y&&i&&a(t,i),Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]),\"number\"!=typeof e)throw new Error(\"gl-fbo: Missing shape parameter\");var o=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>o||r<0||r>o)throw new Error(\"gl-fbo: Parameters are too large for FBO\");n=n||{};var s=1;if(\"color\"in n){if((s=Math.max(0|n.color,0))<0)throw new Error(\"gl-fbo: Must specify a nonnegative number of colors\");if(s>1){if(!i)throw new Error(\"gl-fbo: Multiple draw buffer extension not supported\");if(s>t.getParameter(i.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error(\"gl-fbo: Context does not support \"+s+\" draw buffers\")}}var l=t.UNSIGNED_BYTE,u=t.getExtension(\"OES_texture_float\");if(n.float&&s>0){if(!u)throw new Error(\"gl-fbo: Context does not support floating point textures\");l=t.FLOAT}else n.preferFloat&&s>0&&u&&(l=t.FLOAT);var h=!0;\"depth\"in n&&(h=!!n.depth);var f=!1;return\"stencil\"in n&&(f=!!n.stencil),new c(t,e,r,l,s,h,f,i)}var d=t(\"gl-texture2d\");e.exports=f;var p,m,g,v,y=null,b=c.prototype;Object.defineProperties(b,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return h(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return t|=0,h(this,t,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,h(this,this._shape[0],t),t},enumerable:!1}}),b.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},b.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{\"gl-texture2d\":251}],149:[function(t,e,r){function n(t,e,r){\"use strict\";var n=o(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===a.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var u=i(\"Error compiling %s shader %s:\\n\",l,n),c=i(\"%s%s\",u,t),h=t.split(\"\\n\"),f={},d=0;d<h.length;d++){var p=h[d];if(\"\"!==p){var m=parseInt(p.split(\":\")[2]);if(isNaN(m))throw new Error(i(\"Could not parse error: %s\",p));f[m]=p}}for(var g=s(e).split(\"\\n\"),d=0;d<g.length;d++)if(f[d+3]||f[d+2]||f[d+1]){var v=g[d];if(u+=v+\"\\n\",f[d+1]){var y=f[d+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),u+=i(\"^^^ %s\\n\\n\",y)}}return{long:u.trim(),short:c.trim()}}var i=t(\"sprintf-js\").sprintf,a=t(\"gl-constants/lookup\"),o=t(\"glsl-shader-name\"),s=t(\"add-line-numbers\");e.exports=n},{\"add-line-numbers\":35,\"gl-constants/lookup\":143,\"glsl-shader-name\":263,\"sprintf-js\":508}],150:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}function i(t,e){var r=t.gl,i=l(r,c.vertex,c.fragment),a=l(r,c.pickVertex,c.pickFragment),o=u(r),s=u(r),h=u(r),f=u(r),d=new n(t,i,a,o,s,h,f);return d.update(e),t.addObject(d),d}e.exports=i;var a=t(\"binary-search-bounds\"),o=t(\"iota-array\"),s=t(\"typedarray-pool\"),l=t(\"gl-shader\"),u=t(\"gl-buffer\"),c=t(\"./lib/shaders\"),h=n.prototype,f=[0,0,1,0,0,1,1,0,1,1,0,1];h.draw=function(){var t=[1,0,0,0,1,0,0,0,1];return function(){var e=this.plot,r=this.shader,n=this.bounds,i=this.numVertices;if(!(i<=0)){var a=e.gl,o=e.dataBox,s=n[2]-n[0],l=n[3]-n[1],u=o[2]-o[0],c=o[3]-o[1];t[0]=2*s/u,t[4]=2*l/c,t[6]=2*(n[0]-o[0])/u-1,t[7]=2*(n[1]-o[1])/c-1,r.bind();var h=r.uniforms;h.viewTransform=t,h.shape=this.shape;var f=r.attributes;this.positionBuffer.bind(),f.position.pointer(),this.weightBuffer.bind(),f.weight.pointer(a.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),f.color.pointer(a.UNSIGNED_BYTE,!0),a.drawArrays(a.TRIANGLES,0,i)}}}(),h.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,u=a[2]-a[0],c=a[3]-a[1],h=l[2]-l[0],f=l[3]-l[1];t[0]=2*u/h,t[4]=2*c/f,t[6]=2*(a[0]-l[0])/h-1,t[7]=2*(a[1]-l[1])/f-1;for(var d=0;d<4;++d)e[d]=r>>8*d&255;this.pickOffset=r,i.bind();var p=i.uniforms;p.viewTransform=t,p.pickOffset=e,p.shape=this.shape;var m=i.attributes;return this.positionBuffer.bind(),m.position.pointer(),this.weightBuffer.bind(),m.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),m.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),h.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},h.update=function(t){t=t||{};var e=t.shape||[0,0],r=t.x||o(e[0]),n=t.y||o(e[1]),i=t.z||new Float32Array(e[0]*e[1]);this.xData=r,this.yData=n;var l=t.colorLevels||[0],u=t.colorValues||[0,0,0,1],c=l.length,h=this.bounds,d=h[0]=r[0],p=h[1]=n[0],m=h[2]=r[r.length-1],g=h[3]=n[n.length-1],v=1/(m-d),y=1/(g-p),b=e[0],x=e[1];this.shape=[b,x];var _=(b-1)*(x-1)*(f.length>>>1);this.numVertices=_;for(var w=s.mallocUint8(4*_),M=s.mallocFloat32(2*_),k=s.mallocUint8(2*_),A=s.mallocUint32(_),T=0,S=0;S<x-1;++S)for(var E=y*(n[S]-p),L=y*(n[S+1]-p),C=0;C<b-1;++C)for(var z=v*(r[C]-d),D=v*(r[C+1]-d),I=0;I<f.length;I+=2){var P,O,j,R,F=f[I],N=f[I+1],B=(S+N)*b+(C+F),U=i[B],V=a.le(l,U);if(V<0)P=u[0],O=u[1],j=u[2],R=u[3];else if(V===c-1)P=u[4*c-4],O=u[4*c-3],j=u[4*c-2],R=u[4*c-1];else{var H=(U-l[V])/(l[V+1]-l[V]),q=1-H,G=4*V,Y=4*(V+1);P=q*u[G]+H*u[Y],O=q*u[G+1]+H*u[Y+1],j=q*u[G+2]+H*u[Y+2],R=q*u[G+3]+H*u[Y+3]}w[4*T]=255*P,w[4*T+1]=255*O,w[4*T+2]=255*j,w[4*T+3]=255*R,\n",
       "M[2*T]=.5*z+.5*D,M[2*T+1]=.5*E+.5*L,k[2*T]=F,k[2*T+1]=N,A[T]=S*b+C,T+=1}this.positionBuffer.update(M),this.weightBuffer.update(k),this.colorBuffer.update(w),this.idBuffer.update(A),s.free(M),s.free(w),s.free(k),s.free(A)},h.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":151,\"binary-search-bounds\":152,\"gl-buffer\":141,\"gl-shader\":239,\"iota-array\":276,\"typedarray-pool\":521}],151:[function(t,e,r){\"use strict\";e.exports={fragment:\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\",vertex:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\",pickFragment:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\",pickVertex:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"}},{}],152:[function(t,e,r){arguments[4][77][0].apply(r,arguments)},{dup:77}],153:[function(t,e,r){r.lineVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aHi, aLo, dHi, dLo;\\n\\nuniform vec2 scaleHi, translateHi, scaleLo, translateLo, screenShape;\\nuniform float width;\\n\\nvarying vec2 direction;\\n\\n\\nvec2 project_1_0(vec2 scHi, vec2 trHi, vec2 scLo, vec2 trLo, vec2 posHi, vec2 posLo) {\\n  return (posHi + trHi) * scHi\\n       + (posLo + trLo) * scHi\\n       + (posHi + trHi) * scLo\\n       + (posLo + trLo) * scLo;\\n}\\n\\n\\nvec2 project_2_1(vec2 scHi, vec2 scLo, vec2 posHi, vec2 posLo) {\\n  return scHi * posHi\\n       + scLo * posHi\\n       + scHi * posLo\\n       + scLo * posLo;\\n}\\n\\nvoid main() {\\n  vec2 p = project_1_0(scaleHi, translateHi, scaleLo, translateLo, aHi, aLo);\\n  vec2 dir = project_2_1(scaleHi, scaleLo, dHi, dLo);\\n  vec2 n = 0.5 * width * normalize(screenShape.yx * vec2(dir.y, -dir.x)) / screenShape.xy;\\n  vec2 tangent = normalize(screenShape.xy * dir);\\n  if(dir.x < 0.0 || (dir.x == 0.0 && dir.y < 0.0)) {\\n    direction = -tangent;\\n  } else {\\n    direction = tangent;\\n  }\\n  gl_Position = vec4(p + n, 0.0, 1.0);\\n}\",r.lineFragment=\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nuniform vec2 screenShape;\\nuniform sampler2D dashPattern;\\nuniform float dashLength;\\n\\nvarying vec2 direction;\\n\\nvoid main() {\\n  float t = fract(dot(direction, gl_FragCoord.xy) / dashLength);\\n  vec4 pcolor = color * texture2D(dashPattern, vec2(t, 0.0)).r;\\n  gl_FragColor = vec4(pcolor.rgb * pcolor.a, pcolor.a);\\n}\",r.mitreVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aHi, aLo;\\n\\nuniform vec2 scaleHi, translateHi, scaleLo, translateLo;\\nuniform float radius;\\n\\n\\nvec2 project_1_0(vec2 scHi, vec2 trHi, vec2 scLo, vec2 trLo, vec2 posHi, vec2 posLo) {\\n  return (posHi + trHi) * scHi\\n       + (posLo + trLo) * scHi\\n       + (posHi + trHi) * scLo\\n       + (posLo + trLo) * scLo;\\n}\\n\\n\\nvoid main() {\\n  vec2 p = project_1_0(scaleHi, translateHi, scaleLo, translateLo, aHi, aLo);\\n  gl_Position = vec4(p, 0.0, 1.0);\\n  gl_PointSize = radius;\\n}\",r.mitreFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  if(length(gl_PointCoord.xy - 0.5) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = vec4(color.rgb, color.a);\\n}\",r.pickVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aHi, aLo, dHi;\\nattribute vec4 pick0, pick1;\\n\\nuniform vec2 scaleHi, translateHi, scaleLo, translateLo, screenShape;\\nuniform float width;\\n\\nvarying vec4 pickA, pickB;\\n\\n\\nvec2 project_1_0(vec2 scHi, vec2 trHi, vec2 scLo, vec2 trLo, vec2 posHi, vec2 posLo) {\\n  return (posHi + trHi) * scHi\\n       + (posLo + trLo) * scHi\\n       + (posHi + trHi) * scLo\\n       + (posLo + trLo) * scLo;\\n}\\n\\n\\nvoid main() {\\n  vec2 p = project_1_0(scaleHi, translateHi, scaleLo, translateLo, aHi, aLo);\\n  vec2 n = width * normalize(screenShape.yx * vec2(dHi.y, -dHi.x)) / screenShape.xy;\\n  gl_Position = vec4(p + n, 0, 1);\\n  pickA = pick0;\\n  pickB = pick1;\\n}\",r.pickFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 pickOffset;\\n\\nvarying vec4 pickA, pickB;\\n\\nvoid main() {\\n  vec4 fragId = vec4(pickA.xyz, 0.0);\\n  if(pickB.w > pickA.w) {\\n    fragId.xyz = pickB.xyz;\\n  }\\n\\n  fragId += pickOffset;\\n\\n  fragId.y += floor(fragId.x / 256.0);\\n  fragId.x -= floor(fragId.x / 256.0) * 256.0;\\n\\n  fragId.z += floor(fragId.y / 256.0);\\n  fragId.y -= floor(fragId.y / 256.0) * 256.0;\\n\\n  fragId.w += floor(fragId.z / 256.0);\\n  fragId.z -= floor(fragId.z / 256.0) * 256.0;\\n\\n  gl_FragColor = fragId / 255.0;\\n}\",r.fillVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aHi, aLo, dHi;\\n\\nuniform vec2 scaleHi, translateHi, scaleLo, translateLo, projectAxis;\\nuniform float projectValue, depth;\\n\\n\\nvec2 project_1_0(vec2 scHi, vec2 trHi, vec2 scLo, vec2 trLo, vec2 posHi, vec2 posLo) {\\n  return (posHi + trHi) * scHi\\n       + (posLo + trLo) * scHi\\n       + (posHi + trHi) * scLo\\n       + (posLo + trLo) * scLo;\\n}\\n\\n\\nvoid main() {\\n  vec2 p = project_1_0(scaleHi, translateHi, scaleLo, translateLo, aHi, aLo);\\n  if(dHi.y < 0.0 || (dHi.y == 0.0 && dHi.x < 0.0)) {\\n    if(dot(p, projectAxis) < projectValue) {\\n      p = p * (1.0 - abs(projectAxis)) + projectAxis * projectValue;\\n    }\\n  }\\n  gl_Position = vec4(p, depth, 1);\\n}\",r.fillFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = vec4(color.rgb * color.a, color.a);\\n}\"},{}],154:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s,l){this.plot=t,this.dashPattern=e,this.lineBufferHi=r,this.lineBufferLo=n,this.pickBuffer=i,this.lineShader=a,this.mitreShader=o,this.fillShader=s,this.pickShader=l,this.usingDashes=!1,this.bounds=[1/0,1/0,-1/0,-1/0],this.width=1,this.color=[0,0,1,1],this.fill=[!1,!1,!1,!1],this.fillColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.data=null,this.numPoints=0,this.vertCount=0,this.pickOffset=0}function i(t){return t.map(function(t){return t.slice()})}function a(t,e){var r=t.gl,i=s(r),a=s(r),u=s(r),c=l(r,[1,1]),f=o(r,h.lineVertex,h.lineFragment),d=o(r,h.mitreVertex,h.mitreFragment),p=o(r,h.fillVertex,h.fillFragment),m=o(r,h.pickVertex,h.pickFragment),g=new n(t,c,i,a,u,f,d,p,m);return t.addObject(g),g.update(e),g}e.exports=a;var o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"gl-texture2d\"),u=t(\"ndarray\"),c=t(\"typedarray-pool\"),h=t(\"./lib/shaders\"),f=n.prototype;f.setProjectionModel=function(){var t={scaleHi:new Float32Array([0,0]),scaleLo:new Float32Array([0,0]),translateHi:new Float32Array([0,0]),translateLo:new Float32Array([0,0]),screenShape:[0,0]};return function(){var e=this.bounds,r=this.plot.viewBox,n=this.plot.dataBox,i=e[2]-e[0],a=e[3]-e[1],o=n[2]-n[0],s=n[3]-n[1],l=r[2]-r[0],u=r[3]-r[1],c=2*i/o,h=2*a/s,f=(e[0]-n[0]-.5*o)/i,d=(e[1]-n[1]-.5*s)/a;return t.scaleHi[0]=c,t.scaleHi[1]=h,t.scaleLo[0]=c-t.scaleHi[0],t.scaleLo[1]=h-t.scaleHi[1],t.translateHi[0]=f,t.translateHi[1]=d,t.translateLo[0]=f-t.translateHi[0],t.translateLo[1]=d-t.translateHi[1],t.screenShape[0]=l,t.screenShape[1]=u,t}}(),f.setProjectionUniforms=function(t,e){t.scaleHi=e.scaleHi,t.scaleLo=e.scaleLo,t.translateHi=e.translateHi,t.translateLo=e.translateLo,t.screenShape=e.screenShape},f.draw=function(){var t=[1,0],e=[-1,0],r=[0,1],n=[0,-1];return function(){var i=this.vertCount;if(i){var a=this.setProjectionModel(),o=this.plot,s=this.width,l=o.gl,u=o.pixelRatio,c=this.color,h=this.fillShader.attributes;this.lineBufferLo.bind(),h.aLo.pointer(l.FLOAT,!1,16,0),this.lineBufferHi.bind();var f=this.fill;if(f[0]||f[1]||f[2]||f[3]){var d=this.fillShader;d.bind();var p=d.uniforms;this.setProjectionUniforms(p,a),p.depth=o.nextDepthValue(),h.aHi.pointer(l.FLOAT,!1,16,0),h.dHi.pointer(l.FLOAT,!1,16,8),l.depthMask(!0),l.enable(l.DEPTH_TEST);var m=this.fillColor;f[0]&&(p.color=m[0],p.projectAxis=e,p.projectValue=1,l.drawArrays(l.TRIANGLES,0,i)),f[1]&&(p.color=m[1],p.projectAxis=n,p.projectValue=1,l.drawArrays(l.TRIANGLES,0,i)),f[2]&&(p.color=m[2],p.projectAxis=t,p.projectValue=1,l.drawArrays(l.TRIANGLES,0,i)),f[3]&&(p.color=m[3],p.projectAxis=r,p.projectValue=1,l.drawArrays(l.TRIANGLES,0,i)),l.depthMask(!1),l.disable(l.DEPTH_TEST)}var g=this.lineShader;g.bind(),this.lineBufferLo.bind(),g.attributes.aLo.pointer(l.FLOAT,!1,16,0),g.attributes.dLo.pointer(l.FLOAT,!1,16,8),this.lineBufferHi.bind();var v=g.uniforms;this.setProjectionUniforms(v,a),v.color=c,v.width=s*u,v.dashPattern=this.dashPattern.bind(),v.dashLength=this.dashLength*u;var y=g.attributes;if(y.aHi.pointer(l.FLOAT,!1,16,0),y.dHi.pointer(l.FLOAT,!1,16,8),l.drawArrays(l.TRIANGLES,0,i),s>2&&!this.usingDashes){var b=this.mitreShader;this.lineBufferLo.bind(),b.attributes.aLo.pointer(l.FLOAT,!1,48,0),this.lineBufferHi.bind(),b.bind();var x=b.uniforms;this.setProjectionUniforms(x,a),x.color=c,x.radius=s*u,b.attributes.aHi.pointer(l.FLOAT,!1,48,0),l.drawArrays(l.POINTS,0,i/3|0)}}}}(),f.drawPick=function(){var t=[0,0,0,0];return function(e){var r=this.vertCount,n=this.numPoints;if(this.pickOffset=e,!r)return e+n;var i=this.setProjectionModel(),a=this.plot,o=this.width,s=a.gl,l=a.pickPixelRatio,u=this.pickShader,c=this.pickBuffer;t[0]=255&e,t[1]=e>>>8&255,t[2]=e>>>16&255,t[3]=e>>>24,u.bind();var h=u.uniforms;this.setProjectionUniforms(h,i),h.width=o*l,h.pickOffset=t;var f=u.attributes;return this.lineBufferHi.bind(),f.aHi.pointer(s.FLOAT,!1,16,0),f.dHi.pointer(s.FLOAT,!1,16,8),this.lineBufferLo.bind(),f.aLo.pointer(s.FLOAT,!1,16,0),c.bind(),f.pick0.pointer(s.UNSIGNED_BYTE,!1,8,0),f.pick1.pointer(s.UNSIGNED_BYTE,!1,8,4),s.drawArrays(s.TRIANGLES,0,r),e+n}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.numPoints;if(r<n||r>=n+i)return null;var a=r-n,o=this.data;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}},f.update=function(t){t=t||{};var e,r,n,a,o,s=this.plot.gl;this.color=(t.color||[0,0,1,1]).slice(),this.width=+(t.width||1),this.fill=(t.fill||[!1,!1,!1,!1]).slice(),this.fillColor=i(t.fillColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var h=t.dashes||[1],f=0;for(e=0;e<h.length;++e)f+=h[e];var d=c.mallocUint8(f);n=0;var p=255;for(e=0;e<h.length;++e){for(r=0;r<h[e];++r)d[n++]=p;p^=255}this.dashPattern.dispose(),this.usingDashes=h.length>1,this.dashPattern=l(s,u(d,[f,1,4],[1,0,0])),this.dashPattern.minFilter=s.NEAREST,this.dashPattern.magFilter=s.NEAREST,this.dashLength=f,c.free(d);var m=t.positions;this.data=m;var g=this.bounds;g[0]=g[1]=1/0,g[2]=g[3]=-1/0;var v=this.numPoints=m.length>>>1;if(0!==v){for(e=0;e<v;++e)a=m[2*e],o=m[2*e+1],isNaN(a)||isNaN(o)||(g[0]=Math.min(g[0],a),g[1]=Math.min(g[1],o),g[2]=Math.max(g[2],a),g[3]=Math.max(g[3],o));g[0]===g[2]&&(g[2]+=1),g[3]===g[1]&&(g[3]+=1);var y=c.mallocFloat64(24*(v-1)),b=c.mallocFloat32(24*(v-1)),x=c.mallocFloat32(24*(v-1)),_=c.mallocUint32(12*(v-1)),w=b.length,M=_.length;n=v;for(var k=0;n>1;){var A=--n;a=m[2*n],o=m[2*n+1];var T=A-1,S=m[2*T],E=m[2*T+1];if(!(isNaN(a)||isNaN(o)||isNaN(S)||isNaN(E))){k+=1,a=(a-g[0])/(g[2]-g[0]),o=(o-g[1])/(g[3]-g[1]),S=(S-g[0])/(g[2]-g[0]),E=(E-g[1])/(g[3]-g[1]);var L=S-a,C=E-o,z=A|1<<24,D=A-1,I=A,P=A-1|1<<24;y[--w]=-C,y[--w]=-L,y[--w]=o,y[--w]=a,_[--M]=z,_[--M]=D,y[--w]=C,y[--w]=L,y[--w]=E,y[--w]=S,_[--M]=I,_[--M]=P,y[--w]=-C,y[--w]=-L,y[--w]=E,y[--w]=S,_[--M]=I,_[--M]=P,y[--w]=C,y[--w]=L,y[--w]=E,y[--w]=S,_[--M]=I,_[--M]=P,y[--w]=-C,y[--w]=-L,y[--w]=o,y[--w]=a,_[--M]=z,_[--M]=D,y[--w]=C,y[--w]=L,y[--w]=o,y[--w]=a,_[--M]=z,_[--M]=D}}for(e=0;e<y.length;e++)b[e]=y[e],x[e]=y[e]-b[e];this.vertCount=6*k,this.lineBufferHi.update(b.subarray(w)),this.lineBufferLo.update(x.subarray(w)),this.pickBuffer.update(_.subarray(M)),c.free(y),c.free(b),c.free(x),c.free(_)}},f.dispose=function(){this.plot.removeObject(this),this.lineBufferLo.dispose(),this.lineBufferHi.dispose(),this.pickBuffer.dispose(),this.lineShader.dispose(),this.mitreShader.dispose(),this.fillShader.dispose(),this.pickShader.dispose(),this.dashPattern.dispose()}},{\"./lib/shaders\":153,\"gl-buffer\":141,\"gl-shader\":239,\"gl-texture2d\":251,ndarray:449,\"typedarray-pool\":521}],155:[function(t,e,r){var n=t(\"gl-shader\"),i=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvoid main() {\\n  vec4 projected = projection * view * model * vec4(position, 1.0);\\n  vec4 tangentClip = projection * view * model * vec4(nextPosition - position, 0.0);\\n  vec2 tangent = normalize(screenShape * tangentClip.xy);\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(tangent.y, -tangent.x) / screenShape;\\n\\n  gl_Position = vec4(projected.xy + projected.w * offset, projected.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\",a=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];r.createShader=function(t){return n(t,i,\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if(any(lessThan(worldPosition, clipBounds[0])) || any(greaterThan(worldPosition, clipBounds[1]))) {\\n    discard;\\n  }\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\",null,a)},r.createPickShader=function(t){return n(t,i,\"precision mediump float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\nlowp vec4 encode_float_1_0(highp float v) {\\n  highp float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  highp vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  highp float e = floor(log2(av));\\n  highp float m = av * pow(2.0, -e) - 1.0;\\n  \\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n  \\n  //Unpack exponent\\n  highp float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0; \\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\n\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if(any(lessThan(worldPosition, clipBounds[0])) || any(greaterThan(worldPosition, clipBounds[1]))) {\\n    discard;\\n  }\\n  gl_FragColor = vec4(pickId/255.0, encode_float_1_0(pixelArcLength).xyz);\\n}\",null,a)}},{\"gl-shader\":239}],156:[function(t,e,r){\"use strict\";function n(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function i(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function a(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function o(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.dirty=!0,this.pixelRatio=1}function s(t){var e=t.gl||t.scene&&t.scene.gl,r=m(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var n=g(e);n.attributes.position.location=0,n.attributes.nextPosition.location=1,n.attributes.arcLength.location=2,n.attributes.lineWidth.location=3,n.attributes.color.location=4;for(var i=l(e),a=u(e,[{buffer:i,size:3,offset:0,stride:48},{buffer:i,size:3,offset:12,stride:48},{buffer:i,size:1,offset:24,stride:48},{buffer:i,size:1,offset:28,stride:48},{buffer:i,size:4,offset:32,stride:48}]),s=d(new Array(1024),[256,1,4]),h=0;h<1024;++h)s.data[h]=255;var f=c(e,s);f.wrap=e.REPEAT;var p=new o(e,r,n,i,a,f);return p.update(t),p}e.exports=s;var l=t(\"gl-buffer\"),u=t(\"gl-vao\"),c=t(\"gl-texture2d\"),h=t(\"glsl-read-float\"),f=t(\"binary-search-bounds\"),d=t(\"ndarray\"),p=t(\"./lib/shaders\"),m=p.createShader,g=p.createPickShader,v=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],y=o.prototype;y.isTransparent=function(){return this.opacity<1},y.isOpaque=function(){return this.opacity>=1},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.draw=function(t){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||v,view:t.view||v,projection:t.projection||v,clipBounds:i(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount)},y.drawPick=function(t){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||v,view:t.view||v,projection:t.projection||v,pickId:this.pickId,clipBounds:i(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount)},y.update=function(t){var e,r;this.dirty=!0;var i=!!t.connectGaps;\"dashScale\"in t&&(this.dashScale=t.dashScale),\"opacity\"in t&&(this.opacity=+t.opacity);var a=t.position||t.positions;if(a){var o=t.color||t.colors||[0,0,0,1],s=t.lineWidth||1,l=[],u=[],c=[],h=0,p=0,m=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],g=!1;t:for(e=1;e<a.length;++e){var v=a[e-1],y=a[e];for(u.push(h),c.push(v.slice()),r=0;r<3;++r){if(isNaN(v[r])||isNaN(y[r])||!isFinite(v[r])||!isFinite(y[r])){if(!i&&l.length>0){for(var b=0;b<24;++b)l.push(l[l.length-12]);p+=2,g=!0}continue t}m[0][r]=Math.min(m[0][r],v[r],y[r]),m[1][r]=Math.max(m[1][r],v[r],y[r])}var 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r=e[0],n=e[1],i=e[2],a=e[3],o=r*a-i*n;return o?(o=1/o,t[0]=a*o,t[1]=-n*o,t[2]=-i*o,t[3]=r*o,t):null}e.exports=n},{}],158:[function(t,e,r){function n(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],u=e[7],c=e[8],h=c*o-s*u,f=-c*a+s*l,d=u*a-o*l,p=r*h+n*f+i*d;return p?(p=1/p,t[0]=h*p,t[1]=(-c*n+i*u)*p,t[2]=(s*n-i*o)*p,t[3]=f*p,t[4]=(c*r-i*l)*p,t[5]=(-s*r+i*a)*p,t[6]=d*p,t[7]=(-u*r+n*l)*p,t[8]=(o*r-n*a)*p,t):null}e.exports=n},{}],159:[function(t,e,r){function n(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}e.exports=n},{}],160:[function(t,e,r){function n(){var t=new Float32Array(16);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}e.exports=n},{}],161:[function(t,e,r){function n(t){var e=t[0],r=t[1],n=t[2],i=t[3],a=t[4],o=t[5],s=t[6],l=t[7],u=t[8],c=t[9],h=t[10],f=t[11],d=t[12],p=t[13],m=t[14],g=t[15];return(e*o-r*a)*(h*g-f*m)-(e*s-n*a)*(c*g-f*p)+(e*l-i*a)*(c*m-h*p)+(r*s-n*o)*(u*g-f*d)-(r*l-i*o)*(u*m-h*d)+(n*l-i*s)*(u*p-c*d)}e.exports=n},{}],162:[function(t,e,r){function n(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,u=r*o,c=n*o,h=n*s,f=i*o,d=i*s,p=i*l,m=a*o,g=a*s,v=a*l;return t[0]=1-h-p,t[1]=c+v,t[2]=f-g,t[3]=0,t[4]=c-v,t[5]=1-u-p,t[6]=d+m,t[7]=0,t[8]=f+g,t[9]=d-m,t[10]=1-u-h,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}e.exports=n},{}],163:[function(t,e,r){function n(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,u=a+a,c=n*s,h=n*l,f=n*u,d=i*l,p=i*u,m=a*u,g=o*s,v=o*l,y=o*u;return t[0]=1-(d+m),t[1]=h+y,t[2]=f-v,t[3]=0,t[4]=h-y,t[5]=1-(c+m),t[6]=p+g,t[7]=0,t[8]=f+v,t[9]=p-g,t[10]=1-(c+d),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}e.exports=n},{}],164:[function(t,e,r){function n(t){return 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Math.abs(m-_)<1e-6&&Math.abs(g-w)<1e-6&&Math.abs(v-M)<1e-6?i(t):(h=m-_,f=g-w,d=v-M,p=1/Math.sqrt(h*h+f*f+d*d),h*=p,f*=p,d*=p,a=b*d-x*f,o=x*h-y*d,s=y*f-b*h,p=Math.sqrt(a*a+o*o+s*s),p?(p=1/p,a*=p,o*=p,s*=p):(a=0,o=0,s=0),l=f*s-d*o,u=d*a-h*s,c=h*o-f*a,p=Math.sqrt(l*l+u*u+c*c),p?(p=1/p,l*=p,u*=p,c*=p):(l=0,u=0,c=0),t[0]=a,t[1]=l,t[2]=h,t[3]=0,t[4]=o,t[5]=u,t[6]=f,t[7]=0,t[8]=s,t[9]=c,t[10]=d,t[11]=0,t[12]=-(a*m+o*g+s*v),t[13]=-(l*m+u*g+c*v),t[14]=-(h*m+f*g+d*v),t[15]=1,t)}var i=t(\"./identity\");e.exports=n},{\"./identity\":164}],167:[function(t,e,r){function n(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],h=e[8],f=e[9],d=e[10],p=e[11],m=e[12],g=e[13],v=e[14],y=e[15],b=r[0],x=r[1],_=r[2],w=r[3];return t[0]=b*n+x*s+_*h+w*m,t[1]=b*i+x*l+_*f+w*g,t[2]=b*a+x*u+_*d+w*v,t[3]=b*o+x*c+_*p+w*y,b=r[4],x=r[5],_=r[6],w=r[7],t[4]=b*n+x*s+_*h+w*m,t[5]=b*i+x*l+_*f+w*g,t[6]=b*a+x*u+_*d+w*v,t[7]=b*o+x*c+_*p+w*y,b=r[8],x=r[9],_=r[10],w=r[11],t[8]=b*n+x*s+_*h+w*m,t[9]=b*i+x*l+_*f+w*g,t[10]=b*a+x*u+_*d+w*v,t[11]=b*o+x*c+_*p+w*y,b=r[12],x=r[13],_=r[14],w=r[15],t[12]=b*n+x*s+_*h+w*m,t[13]=b*i+x*l+_*f+w*g,t[14]=b*a+x*u+_*d+w*v,t[15]=b*o+x*c+_*p+w*y,t}e.exports=n},{}],168:[function(t,e,r){function n(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}e.exports=n},{}],169:[function(t,e,r){function n(t,e,r,n){var i,a,o,s,l,u,c,h,f,d,p,m,g,v,y,b,x,_,w,M,k,A,T,S,E=n[0],L=n[1],C=n[2],z=Math.sqrt(E*E+L*L+C*C);return Math.abs(z)<1e-6?null:(z=1/z,E*=z,L*=z,C*=z,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],u=e[2],c=e[3],h=e[4],f=e[5],d=e[6],p=e[7],m=e[8],g=e[9],v=e[10],y=e[11],b=E*E*o+a,x=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,M=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,T=L*C*o-E*i,S=C*C*o+a,t[0]=s*b+h*x+m*_,t[1]=l*b+f*x+g*_,t[2]=u*b+d*x+v*_,t[3]=c*b+p*x+y*_,t[4]=s*w+h*M+m*k,t[5]=l*w+f*M+g*k,t[6]=u*w+d*M+v*k,t[7]=c*w+p*M+y*k,t[8]=s*A+h*T+m*S,t[9]=l*A+f*T+g*S,t[10]=u*A+d*T+v*S,t[11]=c*A+p*T+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t)}e.exports=n},{}],170:[function(t,e,r){function n(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],u=e[8],c=e[9],h=e[10],f=e[11];return e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[4]=a*i+u*n,t[5]=o*i+c*n,t[6]=s*i+h*n,t[7]=l*i+f*n,t[8]=u*i-a*n,t[9]=c*i-o*n,t[10]=h*i-s*n,t[11]=f*i-l*n,t}e.exports=n},{}],171:[function(t,e,r){function n(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[8],c=e[9],h=e[10],f=e[11];return e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i-u*n,t[1]=o*i-c*n,t[2]=s*i-h*n,t[3]=l*i-f*n,t[8]=a*n+u*i,t[9]=o*n+c*i,t[10]=s*n+h*i,t[11]=l*n+f*i,t}e.exports=n},{}],172:[function(t,e,r){function n(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[4],c=e[5],h=e[6],f=e[7];return e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i+u*n,t[1]=o*i+c*n,t[2]=s*i+h*n,t[3]=l*i+f*n,t[4]=u*i-a*n,t[5]=c*i-o*n,t[6]=h*i-s*n,t[7]=f*i-l*n,t}e.exports=n},{}],173:[function(t,e,r){function n(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}e.exports=n},{}],174:[function(t,e,r){function n(t,e,r){var n,i,a,o,s,l,u,c,h,f,d,p,m=r[0],g=r[1],v=r[2];return e===t?(t[12]=e[0]*m+e[4]*g+e[8]*v+e[12],t[13]=e[1]*m+e[5]*g+e[9]*v+e[13],t[14]=e[2]*m+e[6]*g+e[10]*v+e[14],t[15]=e[3]*m+e[7]*g+e[11]*v+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],h=e[8],f=e[9],d=e[10],p=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=u,t[7]=c,t[8]=h,t[9]=f,t[10]=d,t[11]=p,t[12]=n*m+s*g+h*v+e[12],t[13]=i*m+l*g+f*v+e[13],t[14]=a*m+u*g+d*v+e[14],t[15]=o*m+c*g+p*v+e[15]),t}e.exports=n},{}],175:[function(t,e,r){function n(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}e.exports=n},{}],176:[function(t,e,r){\"use strict\";function n(t,e){switch(e.length){case 0:break;case 1:t[0]=1/e[0];break;case 4:i(t,e);break;case 9:a(t,e);break;case 16:o(t,e);break;default:throw new Error(\"currently supports matrices up to 4x4\")}return t}e.exports=n;var i=t(\"gl-mat2/invert\"),a=t(\"gl-mat3/invert\"),o=t(\"gl-mat4/invert\")},{\"gl-mat2/invert\":157,\"gl-mat3/invert\":158,\"gl-mat4/invert\":165}],177:[function(t,e,r){r.glMatrix=t(\"./gl-matrix/common.js\"),r.mat2=t(\"./gl-matrix/mat2.js\"),r.mat2d=t(\"./gl-matrix/mat2d.js\"),r.mat3=t(\"./gl-matrix/mat3.js\"),r.mat4=t(\"./gl-matrix/mat4.js\"),r.quat=t(\"./gl-matrix/quat.js\"),r.vec2=t(\"./gl-matrix/vec2.js\"),r.vec3=t(\"./gl-matrix/vec3.js\"),r.vec4=t(\"./gl-matrix/vec4.js\")},{\"./gl-matrix/common.js\":178,\"./gl-matrix/mat2.js\":179,\"./gl-matrix/mat2d.js\":180,\"./gl-matrix/mat3.js\":181,\"./gl-matrix/mat4.js\":182,\"./gl-matrix/quat.js\":183,\"./gl-matrix/vec2.js\":184,\"./gl-matrix/vec3.js\":185,\"./gl-matrix/vec4.js\":186}],178:[function(t,e,r){var n={};n.EPSILON=1e-6,n.ARRAY_TYPE=\"undefined\"!=typeof 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t[0]=f*n+d*o+p*u,t[1]=f*i+d*s+p*c,t[2]=f*a+d*l+p*h,t[3]=m*n+g*o+v*u,t[4]=m*i+g*s+v*c,t[5]=m*a+g*l+v*h,t[6]=y*n+b*o+x*u,t[7]=y*i+b*s+x*c,t[8]=y*a+b*l+x*h,t},i.mul=i.multiply,i.translate=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],h=e[8],f=r[0],d=r[1];return t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=f*n+d*o+u,t[7]=f*i+d*s+c,t[8]=f*a+d*l+h,t},i.rotate=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],h=e[8],f=Math.sin(r),d=Math.cos(r);return t[0]=d*n+f*o,t[1]=d*i+f*s,t[2]=d*a+f*l,t[3]=d*o-f*n,t[4]=d*s-f*i,t[5]=d*l-f*a,t[6]=u,t[7]=c,t[8]=h,t},i.scale=function(t,e,r){var n=r[0],i=r[1];return t[0]=n*e[0],t[1]=n*e[1],t[2]=n*e[2],t[3]=i*e[3],t[4]=i*e[4],t[5]=i*e[5],t[6]=e[6],t[7]=e[7],t[8]=e[8],t},i.fromTranslation=function(t,e){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=1,t[5]=0,t[6]=e[0],t[7]=e[1],t[8]=1,t},i.fromRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=r,t[2]=0,t[3]=-r,t[4]=n,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},i.fromScaling=function(t,e){return t[0]=e[0],t[1]=0,t[2]=0,t[3]=0,t[4]=e[1],t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},i.fromMat2d=function(t,e){return t[0]=e[0],t[1]=e[1],t[2]=0,t[3]=e[2],t[4]=e[3],t[5]=0,t[6]=e[4],t[7]=e[5],t[8]=1,t},i.fromQuat=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,u=r*o,c=n*o,h=n*s,f=i*o,d=i*s,p=i*l,m=a*o,g=a*s,v=a*l;return t[0]=1-h-p,t[3]=c-v,t[6]=f+g,t[1]=c+v,t[4]=1-u-p,t[7]=d-m,t[2]=f-g,t[5]=d+m,t[8]=1-u-h,t},i.normalFromMat4=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],u=e[7],c=e[8],h=e[9],f=e[10],d=e[11],p=e[12],m=e[13],g=e[14],v=e[15],y=r*s-n*o,b=r*l-i*o,x=r*u-a*o,_=n*l-i*s,w=n*u-a*s,M=i*u-a*l,k=c*m-h*p,A=c*g-f*p,T=c*v-d*p,S=h*g-f*m,E=h*v-d*m,L=f*v-d*g,C=y*L-b*E+x*S+_*T-w*A+M*k;return C?(C=1/C,t[0]=(s*L-l*E+u*S)*C,t[1]=(l*T-o*L-u*A)*C,t[2]=(o*E-s*T+u*k)*C,t[3]=(i*E-n*L-a*S)*C,t[4]=(r*L-i*T+a*A)*C,t[5]=(n*T-r*E-a*k)*C,t[6]=(m*M-g*w+v*_)*C,t[7]=(g*x-p*M-v*b)*C,t[8]=(p*w-m*x+v*y)*C,t):null},i.str=function(t){return\"mat3(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\")\"},i.frob=function(t){return Math.sqrt(Math.pow(t[0],2)+Math.pow(t[1],2)+Math.pow(t[2],2)+Math.pow(t[3],2)+Math.pow(t[4],2)+Math.pow(t[5],2)+Math.pow(t[6],2)+Math.pow(t[7],2)+Math.pow(t[8],2))},i.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t[3]=e[3]+r[3],t[4]=e[4]+r[4],t[5]=e[5]+r[5],t[6]=e[6]+r[6],t[7]=e[7]+r[7],t[8]=e[8]+r[8],t},i.subtract=function(t,e,r){return t[0]=e[0]-r[0],t[1]=e[1]-r[1],t[2]=e[2]-r[2],t[3]=e[3]-r[3],t[4]=e[4]-r[4],t[5]=e[5]-r[5],t[6]=e[6]-r[6],t[7]=e[7]-r[7],t[8]=e[8]-r[8],t},i.sub=i.subtract,i.multiplyScalar=function(t,e,r){return t[0]=e[0]*r,t[1]=e[1]*r,t[2]=e[2]*r,t[3]=e[3]*r,t[4]=e[4]*r,t[5]=e[5]*r,t[6]=e[6]*r,t[7]=e[7]*r,t[8]=e[8]*r,t},i.multiplyScalarAndAdd=function(t,e,r,n){return t[0]=e[0]+r[0]*n,t[1]=e[1]+r[1]*n,t[2]=e[2]+r[2]*n,t[3]=e[3]+r[3]*n,t[4]=e[4]+r[4]*n,t[5]=e[5]+r[5]*n,t[6]=e[6]+r[6]*n,t[7]=e[7]+r[7]*n,t[8]=e[8]+r[8]*n,t},i.exactEquals=function(t,e){return t[0]===e[0]&&t[1]===e[1]&&t[2]===e[2]&&t[3]===e[3]&&t[4]===e[4]&&t[5]===e[5]&&t[6]===e[6]&&t[7]===e[7]&&t[8]===e[8]},i.equals=function(t,e){var r=t[0],i=t[1],a=t[2],o=t[3],s=t[4],l=t[5],u=t[6],c=t[7],h=t[8],f=e[0],d=e[1],p=e[2],m=e[3],g=e[4],v=e[5],y=t[6],b=e[7],x=e[8];return Math.abs(r-f)<=n.EPSILON*Math.max(1,Math.abs(r),Math.abs(f))&&Math.abs(i-d)<=n.EPSILON*Math.max(1,Math.abs(i),Math.abs(d))&&Math.abs(a-p)<=n.EPSILON*Math.max(1,Math.abs(a),Math.abs(p))&&Math.abs(o-m)<=n.EPSILON*Math.max(1,Math.abs(o),Math.abs(m))&&Math.abs(s-g)<=n.EPSILON*Math.max(1,Math.abs(s),Math.abs(g))&&Math.abs(l-v)<=n.EPSILON*Math.max(1,Math.abs(l),Math.abs(v))&&Math.abs(u-y)<=n.EPSILON*Math.max(1,Math.abs(u),Math.abs(y))&&Math.abs(c-b)<=n.EPSILON*Math.max(1,Math.abs(c),Math.abs(b))&&Math.abs(h-x)<=n.EPSILON*Math.max(1,Math.abs(h),Math.abs(x))},e.exports=i},{\"./common.js\":178}],182:[function(t,e,r){var n=t(\"./common.js\"),i={scalar:{},SIMD:{}};i.create=function(){var t=new n.ARRAY_TYPE(16);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},i.clone=function(t){var e=new n.ARRAY_TYPE(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},i.copy=function(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t},i.fromValues=function(t,e,r,i,a,o,s,l,u,c,h,f,d,p,m,g){var v=new n.ARRAY_TYPE(16);return v[0]=t,v[1]=e,v[2]=r,v[3]=i,v[4]=a,v[5]=o,v[6]=s,v[7]=l,v[8]=u,v[9]=c,v[10]=h,v[11]=f,v[12]=d,v[13]=p,v[14]=m,v[15]=g,v},i.set=function(t,e,r,n,i,a,o,s,l,u,c,h,f,d,p,m,g){return t[0]=e,t[1]=r,t[2]=n,t[3]=i,t[4]=a,t[5]=o,t[6]=s,t[7]=l,t[8]=u,t[9]=c,t[10]=h,t[11]=f,t[12]=d,t[13]=p,t[14]=m,t[15]=g,t},i.identity=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},i.scalar.transpose=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t},i.SIMD.transpose=function(t,e){var r,n,i,a,o,s,l,u,c,h;return r=SIMD.Float32x4.load(e,0),n=SIMD.Float32x4.load(e,4),i=SIMD.Float32x4.load(e,8),a=SIMD.Float32x4.load(e,12),o=SIMD.Float32x4.shuffle(r,n,0,1,4,5),s=SIMD.Float32x4.shuffle(i,a,0,1,4,5),l=SIMD.Float32x4.shuffle(o,s,0,2,4,6),u=SIMD.Float32x4.shuffle(o,s,1,3,5,7),SIMD.Float32x4.store(t,0,l),SIMD.Float32x4.store(t,4,u),o=SIMD.Float32x4.shuffle(r,n,2,3,6,7),s=SIMD.Float32x4.shuffle(i,a,2,3,6,7),c=SIMD.Float32x4.shuffle(o,s,0,2,4,6),h=SIMD.Float32x4.shuffle(o,s,1,3,5,7),SIMD.Float32x4.store(t,8,c),SIMD.Float32x4.store(t,12,h),t},i.transpose=n.USE_SIMD?i.SIMD.transpose:i.scalar.transpose,i.scalar.invert=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],u=e[7],c=e[8],h=e[9],f=e[10],d=e[11],p=e[12],m=e[13],g=e[14],v=e[15],y=r*s-n*o,b=r*l-i*o,x=r*u-a*o,_=n*l-i*s,w=n*u-a*s,M=i*u-a*l,k=c*m-h*p,A=c*g-f*p,T=c*v-d*p,S=h*g-f*m,E=h*v-d*m,L=f*v-d*g,C=y*L-b*E+x*S+_*T-w*A+M*k;return C?(C=1/C,t[0]=(s*L-l*E+u*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(m*M-g*w+v*_)*C,t[3]=(f*w-h*M-d*_)*C,t[4]=(l*T-o*L-u*A)*C,t[5]=(r*L-i*T+a*A)*C,t[6]=(g*x-p*M-v*b)*C,t[7]=(c*M-f*x+d*b)*C,t[8]=(o*E-s*T+u*k)*C,t[9]=(n*T-r*E-a*k)*C,t[10]=(p*w-m*x+v*y)*C,t[11]=(h*x-c*w-d*y)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(m*b-p*_-g*y)*C,t[15]=(c*_-h*b+f*y)*C,t):null},i.SIMD.invert=function(t,e){var r,n,i,a,o,s,l,u,c,h,f=SIMD.Float32x4.load(e,0),d=SIMD.Float32x4.load(e,4),p=SIMD.Float32x4.load(e,8),m=SIMD.Float32x4.load(e,12);return o=SIMD.Float32x4.shuffle(f,d,0,1,4,5),n=SIMD.Float32x4.shuffle(p,m,0,1,4,5),r=SIMD.Float32x4.shuffle(o,n,0,2,4,6),n=SIMD.Float32x4.shuffle(n,o,1,3,5,7),o=SIMD.Float32x4.shuffle(f,d,2,3,6,7),a=SIMD.Float32x4.shuffle(p,m,2,3,6,7),i=SIMD.Float32x4.shuffle(o,a,0,2,4,6),a=SIMD.Float32x4.shuffle(a,o,1,3,5,7),o=SIMD.Float32x4.mul(i,a),o=SIMD.Float32x4.swizzle(o,1,0,3,2),s=SIMD.Float32x4.mul(n,o),l=SIMD.Float32x4.mul(r,o),o=SIMD.Float32x4.swizzle(o,2,3,0,1),s=SIMD.Float32x4.sub(SIMD.Float32x4.mul(n,o),s),l=SIMD.Float32x4.sub(SIMD.Float32x4.mul(r,o),l),l=SIMD.Float32x4.swizzle(l,2,3,0,1),o=SIMD.Float32x4.mul(n,i),o=SIMD.Float32x4.swizzle(o,1,0,3,2),s=SIMD.Float32x4.add(SIMD.Float32x4.mul(a,o),s),c=SIMD.Float32x4.mul(r,o),o=SIMD.Float32x4.swizzle(o,2,3,0,1),s=SIMD.Float32x4.sub(s,SIMD.Float32x4.mul(a,o)),c=SIMD.Float32x4.sub(SIMD.Float32x4.mul(r,o),c),c=SIMD.Float32x4.swizzle(c,2,3,0,1),o=SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(n,2,3,0,1),a),o=SIMD.Float32x4.swizzle(o,1,0,3,2),i=SIMD.Float32x4.swizzle(i,2,3,0,1),s=SIMD.Float32x4.add(SIMD.Float32x4.mul(i,o),s),u=SIMD.Float32x4.mul(r,o),o=SIMD.Float32x4.swizzle(o,2,3,0,1),s=SIMD.Float32x4.sub(s,SIMD.Float32x4.mul(i,o)),u=SIMD.Float32x4.sub(SIMD.Float32x4.mul(r,o),u),u=SIMD.Float32x4.swizzle(u,2,3,0,1),o=SIMD.Float32x4.mul(r,n),o=SIMD.Float32x4.swizzle(o,1,0,3,2),u=SIMD.Float32x4.add(SIMD.Float32x4.mul(a,o),u),c=SIMD.Float32x4.sub(SIMD.Float32x4.mul(i,o),c),o=SIMD.Float32x4.swizzle(o,2,3,0,1),u=SIMD.Float32x4.sub(SIMD.Float32x4.mul(a,o),u),c=SIMD.Float32x4.sub(c,SIMD.Float32x4.mul(i,o)),o=SIMD.Float32x4.mul(r,a),o=SIMD.Float32x4.swizzle(o,1,0,3,2),l=SIMD.Float32x4.sub(l,SIMD.Float32x4.mul(i,o)),u=SIMD.Float32x4.add(SIMD.Float32x4.mul(n,o),u),o=SIMD.Float32x4.swizzle(o,2,3,0,1),l=SIMD.Float32x4.add(SIMD.Float32x4.mul(i,o),l),u=SIMD.Float32x4.sub(u,SIMD.Float32x4.mul(n,o)),o=SIMD.Float32x4.mul(r,i),o=SIMD.Float32x4.swizzle(o,1,0,3,2),l=SIMD.Float32x4.add(SIMD.Float32x4.mul(a,o),l),c=SIMD.Float32x4.sub(c,SIMD.Float32x4.mul(n,o)),o=SIMD.Float32x4.swizzle(o,2,3,0,1),l=SIMD.Float32x4.sub(l,SIMD.Float32x4.mul(a,o)),c=SIMD.Float32x4.add(SIMD.Float32x4.mul(n,o),c),h=SIMD.Float32x4.mul(r,s),h=SIMD.Float32x4.add(SIMD.Float32x4.swizzle(h,2,3,0,1),h),h=SIMD.Float32x4.add(SIMD.Float32x4.swizzle(h,1,0,3,2),h),o=SIMD.Float32x4.reciprocalApproximation(h),h=SIMD.Float32x4.sub(SIMD.Float32x4.add(o,o),SIMD.Float32x4.mul(h,SIMD.Float32x4.mul(o,o))),(h=SIMD.Float32x4.swizzle(h,0,0,0,0))?(SIMD.Float32x4.store(t,0,SIMD.Float32x4.mul(h,s)),SIMD.Float32x4.store(t,4,SIMD.Float32x4.mul(h,l)),SIMD.Float32x4.store(t,8,SIMD.Float32x4.mul(h,u)),SIMD.Float32x4.store(t,12,SIMD.Float32x4.mul(h,c)),t):null},i.invert=n.USE_SIMD?i.SIMD.invert:i.scalar.invert,i.scalar.adjoint=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],u=e[7],c=e[8],h=e[9],f=e[10],d=e[11],p=e[12],m=e[13],g=e[14],v=e[15];return t[0]=s*(f*v-d*g)-h*(l*v-u*g)+m*(l*d-u*f),t[1]=-(n*(f*v-d*g)-h*(i*v-a*g)+m*(i*d-a*f)),t[2]=n*(l*v-u*g)-s*(i*v-a*g)+m*(i*u-a*l),t[3]=-(n*(l*d-u*f)-s*(i*d-a*f)+h*(i*u-a*l)),t[4]=-(o*(f*v-d*g)-c*(l*v-u*g)+p*(l*d-u*f)),t[5]=r*(f*v-d*g)-c*(i*v-a*g)+p*(i*d-a*f),t[6]=-(r*(l*v-u*g)-o*(i*v-a*g)+p*(i*u-a*l)),t[7]=r*(l*d-u*f)-o*(i*d-a*f)+c*(i*u-a*l),t[8]=o*(h*v-d*m)-c*(s*v-u*m)+p*(s*d-u*h),t[9]=-(r*(h*v-d*m)-c*(n*v-a*m)+p*(n*d-a*h)),t[10]=r*(s*v-u*m)-o*(n*v-a*m)+p*(n*u-a*s),t[11]=-(r*(s*d-u*h)-o*(n*d-a*h)+c*(n*u-a*s)),t[12]=-(o*(h*g-f*m)-c*(s*g-l*m)+p*(s*f-l*h)),t[13]=r*(h*g-f*m)-c*(n*g-i*m)+p*(n*f-i*h),t[14]=-(r*(s*g-l*m)-o*(n*g-i*m)+p*(n*l-i*s)),t[15]=r*(s*f-l*h)-o*(n*f-i*h)+c*(n*l-i*s),t},i.SIMD.adjoint=function(t,e){var r,n,i,a,o,s,l,u,c,h,f,d,p,r=SIMD.Float32x4.load(e,0),n=SIMD.Float32x4.load(e,4),i=SIMD.Float32x4.load(e,8),a=SIMD.Float32x4.load(e,12);return c=SIMD.Float32x4.shuffle(r,n,0,1,4,5),s=SIMD.Float32x4.shuffle(i,a,0,1,4,5),o=SIMD.Float32x4.shuffle(c,s,0,2,4,6),s=SIMD.Float32x4.shuffle(s,c,1,3,5,7),c=SIMD.Float32x4.shuffle(r,n,2,3,6,7),u=SIMD.Float32x4.shuffle(i,a,2,3,6,7),l=SIMD.Float32x4.shuffle(c,u,0,2,4,6),u=SIMD.Float32x4.shuffle(u,c,1,3,5,7),c=SIMD.Float32x4.mul(l,u),c=SIMD.Float32x4.swizzle(c,1,0,3,2),h=SIMD.Float32x4.mul(s,c),f=SIMD.Float32x4.mul(o,c),c=SIMD.Float32x4.swizzle(c,2,3,0,1),h=SIMD.Float32x4.sub(SIMD.Float32x4.mul(s,c),h),f=SIMD.Float32x4.sub(SIMD.Float32x4.mul(o,c),f),f=SIMD.Float32x4.swizzle(f,2,3,0,1),c=SIMD.Float32x4.mul(s,l),c=SIMD.Float32x4.swizzle(c,1,0,3,2),h=SIMD.Float32x4.add(SIMD.Float32x4.mul(u,c),h),p=SIMD.Float32x4.mul(o,c),c=SIMD.Float32x4.swizzle(c,2,3,0,1),h=SIMD.Float32x4.sub(h,SIMD.Float32x4.mul(u,c)),p=SIMD.Float32x4.sub(SIMD.Float32x4.mul(o,c),p),p=SIMD.Float32x4.swizzle(p,2,3,0,1),c=SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(s,2,3,0,1),u),c=SIMD.Float32x4.swizzle(c,1,0,3,2),l=SIMD.Float32x4.swizzle(l,2,3,0,1),h=SIMD.Float32x4.add(SIMD.Float32x4.mul(l,c),h),d=SIMD.Float32x4.mul(o,c),c=SIMD.Float32x4.swizzle(c,2,3,0,1),h=SIMD.Float32x4.sub(h,SIMD.Float32x4.mul(l,c)),d=SIMD.Float32x4.sub(SIMD.Float32x4.mul(o,c),d),d=SIMD.Float32x4.swizzle(d,2,3,0,1),c=SIMD.Float32x4.mul(o,s),c=SIMD.Float32x4.swizzle(c,1,0,3,2),d=SIMD.Float32x4.add(SIMD.Float32x4.mul(u,c),d),p=SIMD.Float32x4.sub(SIMD.Float32x4.mul(l,c),p),c=SIMD.Float32x4.swizzle(c,2,3,0,1),d=SIMD.Float32x4.sub(SIMD.Float32x4.mul(u,c),d),p=SIMD.Float32x4.sub(p,SIMD.Float32x4.mul(l,c)),c=SIMD.Float32x4.mul(o,u),c=SIMD.Float32x4.swizzle(c,1,0,3,2),f=SIMD.Float32x4.sub(f,SIMD.Float32x4.mul(l,c)),d=SIMD.Float32x4.add(SIMD.Float32x4.mul(s,c),d),c=SIMD.Float32x4.swizzle(c,2,3,0,1),f=SIMD.Float32x4.add(SIMD.Float32x4.mul(l,c),f),d=SIMD.Float32x4.sub(d,SIMD.Float32x4.mul(s,c)),c=SIMD.Float32x4.mul(o,l),c=SIMD.Float32x4.swizzle(c,1,0,3,2),f=SIMD.Float32x4.add(SIMD.Float32x4.mul(u,c),f),p=SIMD.Float32x4.sub(p,SIMD.Float32x4.mul(s,c)),c=SIMD.Float32x4.swizzle(c,2,3,0,1),f=SIMD.Float32x4.sub(f,SIMD.Float32x4.mul(u,c)),p=SIMD.Float32x4.add(SIMD.Float32x4.mul(s,c),p),SIMD.Float32x4.store(t,0,h),SIMD.Float32x4.store(t,4,f),SIMD.Float32x4.store(t,8,d),SIMD.Float32x4.store(t,12,p),t},i.adjoint=n.USE_SIMD?i.SIMD.adjoint:i.scalar.adjoint,i.determinant=function(t){var e=t[0],r=t[1],n=t[2],i=t[3],a=t[4],o=t[5],s=t[6],l=t[7],u=t[8],c=t[9],h=t[10],f=t[11],d=t[12],p=t[13],m=t[14],g=t[15];return(e*o-r*a)*(h*g-f*m)-(e*s-n*a)*(c*g-f*p)+(e*l-i*a)*(c*m-h*p)+(r*s-n*o)*(u*g-f*d)-(r*l-i*o)*(u*m-h*d)+(n*l-i*s)*(u*p-c*d)},i.SIMD.multiply=function(t,e,r){var n=SIMD.Float32x4.load(e,0),i=SIMD.Float32x4.load(e,4),a=SIMD.Float32x4.load(e,8),o=SIMD.Float32x4.load(e,12),s=SIMD.Float32x4.load(r,0),l=SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(s,0,0,0,0),n),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(s,1,1,1,1),i),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(s,2,2,2,2),a),SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(s,3,3,3,3),o))));SIMD.Float32x4.store(t,0,l);var u=SIMD.Float32x4.load(r,4),c=SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(u,0,0,0,0),n),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(u,1,1,1,1),i),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(u,2,2,2,2),a),SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(u,3,3,3,3),o))));SIMD.Float32x4.store(t,4,c);var h=SIMD.Float32x4.load(r,8),f=SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(h,0,0,0,0),n),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(h,1,1,1,1),i),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(h,2,2,2,2),a),SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(h,3,3,3,3),o))));SIMD.Float32x4.store(t,8,f);var d=SIMD.Float32x4.load(r,12),p=SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(d,0,0,0,0),n),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(d,1,1,1,1),i),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(d,2,2,2,2),a),SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(d,3,3,3,3),o))));return SIMD.Float32x4.store(t,12,p),t},i.scalar.multiply=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],h=e[8],f=e[9],d=e[10],p=e[11],m=e[12],g=e[13],v=e[14],y=e[15],b=r[0],x=r[1],_=r[2],w=r[3];return t[0]=b*n+x*s+_*h+w*m,t[1]=b*i+x*l+_*f+w*g,t[2]=b*a+x*u+_*d+w*v,t[3]=b*o+x*c+_*p+w*y,b=r[4],x=r[5],_=r[6],w=r[7],t[4]=b*n+x*s+_*h+w*m,t[5]=b*i+x*l+_*f+w*g,t[6]=b*a+x*u+_*d+w*v,t[7]=b*o+x*c+_*p+w*y,b=r[8],x=r[9],_=r[10],w=r[11],t[8]=b*n+x*s+_*h+w*m,t[9]=b*i+x*l+_*f+w*g,t[10]=b*a+x*u+_*d+w*v,t[11]=b*o+x*c+_*p+w*y,b=r[12],x=r[13],_=r[14],w=r[15],t[12]=b*n+x*s+_*h+w*m,t[13]=b*i+x*l+_*f+w*g,t[14]=b*a+x*u+_*d+w*v,t[15]=b*o+x*c+_*p+w*y,t},i.multiply=n.USE_SIMD?i.SIMD.multiply:i.scalar.multiply,i.mul=i.multiply,i.scalar.translate=function(t,e,r){var n,i,a,o,s,l,u,c,h,f,d,p,m=r[0],g=r[1],v=r[2];return e===t?(t[12]=e[0]*m+e[4]*g+e[8]*v+e[12],t[13]=e[1]*m+e[5]*g+e[9]*v+e[13],t[14]=e[2]*m+e[6]*g+e[10]*v+e[14],t[15]=e[3]*m+e[7]*g+e[11]*v+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],h=e[8],f=e[9],d=e[10],p=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=u,t[7]=c,t[8]=h,t[9]=f,t[10]=d,t[11]=p,t[12]=n*m+s*g+h*v+e[12],t[13]=i*m+l*g+f*v+e[13],t[14]=a*m+u*g+d*v+e[14],t[15]=o*m+c*g+p*v+e[15]),t},i.SIMD.translate=function(t,e,r){var n=SIMD.Float32x4.load(e,0),i=SIMD.Float32x4.load(e,4),a=SIMD.Float32x4.load(e,8),o=SIMD.Float32x4.load(e,12),s=SIMD.Float32x4(r[0],r[1],r[2],0);e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11]),n=SIMD.Float32x4.mul(n,SIMD.Float32x4.swizzle(s,0,0,0,0)),i=SIMD.Float32x4.mul(i,SIMD.Float32x4.swizzle(s,1,1,1,1)),a=SIMD.Float32x4.mul(a,SIMD.Float32x4.swizzle(s,2,2,2,2));var l=SIMD.Float32x4.add(n,SIMD.Float32x4.add(i,SIMD.Float32x4.add(a,o)));return SIMD.Float32x4.store(t,12,l),t},i.translate=n.USE_SIMD?i.SIMD.translate:i.scalar.translate,i.scalar.scale=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t},i.SIMD.scale=function(t,e,r){var n,i,a,o=SIMD.Float32x4(r[0],r[1],r[2],0);return n=SIMD.Float32x4.load(e,0),SIMD.Float32x4.store(t,0,SIMD.Float32x4.mul(n,SIMD.Float32x4.swizzle(o,0,0,0,0))),i=SIMD.Float32x4.load(e,4),SIMD.Float32x4.store(t,4,SIMD.Float32x4.mul(i,SIMD.Float32x4.swizzle(o,1,1,1,1))),a=SIMD.Float32x4.load(e,8),SIMD.Float32x4.store(t,8,SIMD.Float32x4.mul(a,SIMD.Float32x4.swizzle(o,2,2,2,2))),t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t},i.scale=n.USE_SIMD?i.SIMD.scale:i.scalar.scale,i.rotate=function(t,e,r,i){var a,o,s,l,u,c,h,f,d,p,m,g,v,y,b,x,_,w,M,k,A,T,S,E,L=i[0],C=i[1],z=i[2],D=Math.sqrt(L*L+C*C+z*z);return Math.abs(D)<n.EPSILON?null:(D=1/D,L*=D,C*=D,z*=D,a=Math.sin(r),o=Math.cos(r),s=1-o,l=e[0],u=e[1],c=e[2],h=e[3],f=e[4],d=e[5],p=e[6],m=e[7],g=e[8],v=e[9],y=e[10],b=e[11],x=L*L*s+o,_=C*L*s+z*a,w=z*L*s-C*a,M=L*C*s-z*a,k=C*C*s+o,A=z*C*s+L*a,T=L*z*s+C*a,S=C*z*s-L*a,E=z*z*s+o,t[0]=l*x+f*_+g*w,t[1]=u*x+d*_+v*w,t[2]=c*x+p*_+y*w,t[3]=h*x+m*_+b*w,t[4]=l*M+f*k+g*A,t[5]=u*M+d*k+v*A,t[6]=c*M+p*k+y*A,t[7]=h*M+m*k+b*A,t[8]=l*T+f*S+g*E,t[9]=u*T+d*S+v*E,t[10]=c*T+p*S+y*E,t[11]=h*T+m*S+b*E,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t)},i.scalar.rotateX=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],u=e[8],c=e[9],h=e[10],f=e[11];return e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[4]=a*i+u*n,t[5]=o*i+c*n,t[6]=s*i+h*n,t[7]=l*i+f*n,t[8]=u*i-a*n,t[9]=c*i-o*n,t[10]=h*i-s*n,t[11]=f*i-l*n,t},i.SIMD.rotateX=function(t,e,r){var n=SIMD.Float32x4.splat(Math.sin(r)),i=SIMD.Float32x4.splat(Math.cos(r));e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);var a=SIMD.Float32x4.load(e,4),o=SIMD.Float32x4.load(e,8);return SIMD.Float32x4.store(t,4,SIMD.Float32x4.add(SIMD.Float32x4.mul(a,i),SIMD.Float32x4.mul(o,n))),SIMD.Float32x4.store(t,8,SIMD.Float32x4.sub(SIMD.Float32x4.mul(o,i),SIMD.Float32x4.mul(a,n))),t},i.rotateX=n.USE_SIMD?i.SIMD.rotateX:i.scalar.rotateX,i.scalar.rotateY=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[8],c=e[9],h=e[10],f=e[11];return e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i-u*n,t[1]=o*i-c*n,t[2]=s*i-h*n,t[3]=l*i-f*n,t[8]=a*n+u*i,t[9]=o*n+c*i,t[10]=s*n+h*i,t[11]=l*n+f*i,t},i.SIMD.rotateY=function(t,e,r){var n=SIMD.Float32x4.splat(Math.sin(r)),i=SIMD.Float32x4.splat(Math.cos(r));e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);var a=SIMD.Float32x4.load(e,0),o=SIMD.Float32x4.load(e,8);return SIMD.Float32x4.store(t,0,SIMD.Float32x4.sub(SIMD.Float32x4.mul(a,i),SIMD.Float32x4.mul(o,n))),SIMD.Float32x4.store(t,8,SIMD.Float32x4.add(SIMD.Float32x4.mul(a,n),SIMD.Float32x4.mul(o,i))),t},i.rotateY=n.USE_SIMD?i.SIMD.rotateY:i.scalar.rotateY,i.scalar.rotateZ=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[4],c=e[5],h=e[6],f=e[7];return e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i+u*n,t[1]=o*i+c*n,t[2]=s*i+h*n,t[3]=l*i+f*n,t[4]=u*i-a*n,t[5]=c*i-o*n,t[6]=h*i-s*n,t[7]=f*i-l*n,t},i.SIMD.rotateZ=function(t,e,r){var n=SIMD.Float32x4.splat(Math.sin(r)),i=SIMD.Float32x4.splat(Math.cos(r));e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);var a=SIMD.Float32x4.load(e,0),o=SIMD.Float32x4.load(e,4);return SIMD.Float32x4.store(t,0,SIMD.Float32x4.add(SIMD.Float32x4.mul(a,i),SIMD.Float32x4.mul(o,n))),SIMD.Float32x4.store(t,4,SIMD.Float32x4.sub(SIMD.Float32x4.mul(o,i),SIMD.Float32x4.mul(a,n))),t},i.rotateZ=n.USE_SIMD?i.SIMD.rotateZ:i.scalar.rotateZ,i.fromTranslation=function(t,e){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=e[0],t[13]=e[1],t[14]=e[2],t[15]=1,t},i.fromScaling=function(t,e){return t[0]=e[0],t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=e[1],t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=e[2],t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},i.fromRotation=function(t,e,r){var i,a,o,s=r[0],l=r[1],u=r[2],c=Math.sqrt(s*s+l*l+u*u);return Math.abs(c)<n.EPSILON?null:(c=1/c,s*=c,l*=c,u*=c,i=Math.sin(e),a=Math.cos(e),o=1-a,t[0]=s*s*o+a,t[1]=l*s*o+u*i,t[2]=u*s*o-l*i,t[3]=0,t[4]=s*l*o-u*i,t[5]=l*l*o+a,t[6]=u*l*o+s*i,t[7]=0,t[8]=s*u*o+l*i,t[9]=l*u*o-s*i,t[10]=u*u*o+a,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t)},i.fromXRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=n,t[6]=r,t[7]=0,t[8]=0,t[9]=-r,t[10]=n,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},i.fromYRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=0,t[2]=-r,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=r,t[9]=0,t[10]=n,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},i.fromZRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=r,t[2]=0,t[3]=0,t[4]=-r,t[5]=n,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},i.fromRotationTranslation=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,u=a+a,c=n*s,h=n*l,f=n*u,d=i*l,p=i*u,m=a*u,g=o*s,v=o*l,y=o*u;return t[0]=1-(d+m),t[1]=h+y,t[2]=f-v,t[3]=0,t[4]=h-y,t[5]=1-(c+m),t[6]=p+g,t[7]=0,t[8]=f+v,t[9]=p-g,t[10]=1-(c+d),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t},i.getTranslation=function(t,e){return t[0]=e[12],t[1]=e[13],t[2]=e[14],t},i.getRotation=function(t,e){var r=e[0]+e[5]+e[10],n=0;return r>0?(n=2*Math.sqrt(r+1),t[3]=.25*n,t[0]=(e[6]-e[9])/n,t[1]=(e[8]-e[2])/n,t[2]=(e[1]-e[4])/n):e[0]>e[5]&e[0]>e[10]?(n=2*Math.sqrt(1+e[0]-e[5]-e[10]),t[3]=(e[6]-e[9])/n,t[0]=.25*n,t[1]=(e[1]+e[4])/n,t[2]=(e[8]+e[2])/n):e[5]>e[10]?(n=2*Math.sqrt(1+e[5]-e[0]-e[10]),t[3]=(e[8]-e[2])/n,t[0]=(e[1]+e[4])/n,t[1]=.25*n,t[2]=(e[6]+e[9])/n):(n=2*Math.sqrt(1+e[10]-e[0]-e[5]),t[3]=(e[1]-e[4])/n,t[0]=(e[8]+e[2])/n,t[1]=(e[6]+e[9])/n,t[2]=.25*n),t},i.fromRotationTranslationScale=function(t,e,r,n){var i=e[0],a=e[1],o=e[2],s=e[3],l=i+i,u=a+a,c=o+o,h=i*l,f=i*u,d=i*c,p=a*u,m=a*c,g=o*c,v=s*l,y=s*u,b=s*c,x=n[0],_=n[1],w=n[2];return t[0]=(1-(p+g))*x,t[1]=(f+b)*x,t[2]=(d-y)*x,t[3]=0,t[4]=(f-b)*_,t[5]=(1-(h+g))*_,t[6]=(m+v)*_,t[7]=0,t[8]=(d+y)*w,t[9]=(m-v)*w,t[10]=(1-(h+p))*w,t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t},i.fromRotationTranslationScaleOrigin=function(t,e,r,n,i){var a=e[0],o=e[1],s=e[2],l=e[3],u=a+a,c=o+o,h=s+s,f=a*u,d=a*c,p=a*h,m=o*c,g=o*h,v=s*h,y=l*u,b=l*c,x=l*h,_=n[0],w=n[1],M=n[2],k=i[0],A=i[1],T=i[2];return t[0]=(1-(m+v))*_,t[1]=(d+x)*_,t[2]=(p-b)*_,t[3]=0,t[4]=(d-x)*w,t[5]=(1-(f+v))*w,t[6]=(g+y)*w,t[7]=0,t[8]=(p+b)*M,t[9]=(g-y)*M,t[10]=(1-(f+m))*M,t[11]=0,t[12]=r[0]+k-(t[0]*k+t[4]*A+t[8]*T),t[13]=r[1]+A-(t[1]*k+t[5]*A+t[9]*T),t[14]=r[2]+T-(t[2]*k+t[6]*A+t[10]*T),t[15]=1,t},i.fromQuat=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,u=r*o,c=n*o,h=n*s,f=i*o,d=i*s,p=i*l,m=a*o,g=a*s,v=a*l;return t[0]=1-h-p,t[1]=c+v,t[2]=f-g,t[3]=0,t[4]=c-v,t[5]=1-u-p,t[6]=d+m,t[7]=0,t[8]=f+g,t[9]=d-m,t[10]=1-u-h,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},i.frustum=function(t,e,r,n,i,a,o){var s=1/(r-e),l=1/(i-n),u=1/(a-o);return t[0]=2*a*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=2*a*l,t[6]=0,t[7]=0,t[8]=(r+e)*s,t[9]=(i+n)*l,t[10]=(o+a)*u,t[11]=-1,t[12]=0,t[13]=0,t[14]=o*a*2*u,t[15]=0,t},i.perspective=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t},i.perspectiveFromFieldOfView=function(t,e,r,n){var i=Math.tan(e.upDegrees*Math.PI/180),a=Math.tan(e.downDegrees*Math.PI/180),o=Math.tan(e.leftDegrees*Math.PI/180),s=Math.tan(e.rightDegrees*Math.PI/180),l=2/(o+s),u=2/(i+a);return t[0]=l,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=u,t[6]=0,t[7]=0,t[8]=-((o-s)*l)*.5,t[9]=(i-a)*u*.5,t[10]=n/(r-n),t[11]=-1,t[12]=0,t[13]=0,t[14]=n*r/(r-n),t[15]=0,t},i.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),u=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*u,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*u,t[15]=1,t},i.lookAt=function(t,e,r,a){var o,s,l,u,c,h,f,d,p,m,g=e[0],v=e[1],y=e[2],b=a[0],x=a[1],_=a[2],w=r[0],M=r[1],k=r[2];return Math.abs(g-w)<n.EPSILON&&Math.abs(v-M)<n.EPSILON&&Math.abs(y-k)<n.EPSILON?i.identity(t):(f=g-w,d=v-M,p=y-k,m=1/Math.sqrt(f*f+d*d+p*p),f*=m,d*=m,p*=m,o=x*p-_*d,s=_*f-b*p,l=b*d-x*f,m=Math.sqrt(o*o+s*s+l*l),m?(m=1/m,o*=m,s*=m,l*=m):(o=0,s=0,l=0),u=d*l-p*s,c=p*o-f*l,h=f*s-d*o,m=Math.sqrt(u*u+c*c+h*h),m?(m=1/m,u*=m,c*=m,h*=m):(u=0,c=0,h=0),t[0]=o,t[1]=u,t[2]=f,t[3]=0,t[4]=s,t[5]=c,t[6]=d,t[7]=0,t[8]=l,t[9]=h,t[10]=p,t[11]=0,t[12]=-(o*g+s*v+l*y),t[13]=-(u*g+c*v+h*y),t[14]=-(f*g+d*v+p*y),t[15]=1,t)},i.str=function(t){return\"mat4(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\", \"+t[9]+\", \"+t[10]+\", \"+t[11]+\", \"+t[12]+\", \"+t[13]+\", \"+t[14]+\", \"+t[15]+\")\"},i.frob=function(t){return Math.sqrt(Math.pow(t[0],2)+Math.pow(t[1],2)+Math.pow(t[2],2)+Math.pow(t[3],2)+Math.pow(t[4],2)+Math.pow(t[5],2)+Math.pow(t[6],2)+Math.pow(t[7],2)+Math.pow(t[8],2)+Math.pow(t[9],2)+Math.pow(t[10],2)+Math.pow(t[11],2)+Math.pow(t[12],2)+Math.pow(t[13],2)+Math.pow(t[14],2)+Math.pow(t[15],2))},i.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t[3]=e[3]+r[3],t[4]=e[4]+r[4],t[5]=e[5]+r[5],t[6]=e[6]+r[6],t[7]=e[7]+r[7],t[8]=e[8]+r[8],\n",
       "t[9]=e[9]+r[9],t[10]=e[10]+r[10],t[11]=e[11]+r[11],t[12]=e[12]+r[12],t[13]=e[13]+r[13],t[14]=e[14]+r[14],t[15]=e[15]+r[15],t},i.subtract=function(t,e,r){return t[0]=e[0]-r[0],t[1]=e[1]-r[1],t[2]=e[2]-r[2],t[3]=e[3]-r[3],t[4]=e[4]-r[4],t[5]=e[5]-r[5],t[6]=e[6]-r[6],t[7]=e[7]-r[7],t[8]=e[8]-r[8],t[9]=e[9]-r[9],t[10]=e[10]-r[10],t[11]=e[11]-r[11],t[12]=e[12]-r[12],t[13]=e[13]-r[13],t[14]=e[14]-r[14],t[15]=e[15]-r[15],t},i.sub=i.subtract,i.multiplyScalar=function(t,e,r){return t[0]=e[0]*r,t[1]=e[1]*r,t[2]=e[2]*r,t[3]=e[3]*r,t[4]=e[4]*r,t[5]=e[5]*r,t[6]=e[6]*r,t[7]=e[7]*r,t[8]=e[8]*r,t[9]=e[9]*r,t[10]=e[10]*r,t[11]=e[11]*r,t[12]=e[12]*r,t[13]=e[13]*r,t[14]=e[14]*r,t[15]=e[15]*r,t},i.multiplyScalarAndAdd=function(t,e,r,n){return t[0]=e[0]+r[0]*n,t[1]=e[1]+r[1]*n,t[2]=e[2]+r[2]*n,t[3]=e[3]+r[3]*n,t[4]=e[4]+r[4]*n,t[5]=e[5]+r[5]*n,t[6]=e[6]+r[6]*n,t[7]=e[7]+r[7]*n,t[8]=e[8]+r[8]*n,t[9]=e[9]+r[9]*n,t[10]=e[10]+r[10]*n,t[11]=e[11]+r[11]*n,t[12]=e[12]+r[12]*n,t[13]=e[13]+r[13]*n,t[14]=e[14]+r[14]*n,t[15]=e[15]+r[15]*n,t},i.exactEquals=function(t,e){return t[0]===e[0]&&t[1]===e[1]&&t[2]===e[2]&&t[3]===e[3]&&t[4]===e[4]&&t[5]===e[5]&&t[6]===e[6]&&t[7]===e[7]&&t[8]===e[8]&&t[9]===e[9]&&t[10]===e[10]&&t[11]===e[11]&&t[12]===e[12]&&t[13]===e[13]&&t[14]===e[14]&&t[15]===e[15]},i.equals=function(t,e){var r=t[0],i=t[1],a=t[2],o=t[3],s=t[4],l=t[5],u=t[6],c=t[7],h=t[8],f=t[9],d=t[10],p=t[11],m=t[12],g=t[13],v=t[14],y=t[15],b=e[0],x=e[1],_=e[2],w=e[3],M=e[4],k=e[5],A=e[6],T=e[7],S=e[8],E=e[9],L=e[10],C=e[11],z=e[12],D=e[13],I=e[14],P=e[15];return 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opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if(any(lessThan(f_data, clipBounds[0])) || \\n     any(greaterThan(f_data, clipBounds[1]))) {\\n    discard;\\n  }\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\",attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.pointShader={vertex:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if(any(lessThan(position, clipBounds[0])) || \\n     any(greaterThan(position, clipBounds[1]))) {\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\",fragment:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5,0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\",attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},r.pickShader={vertex:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}\",fragment:n,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},r.pointPickShader={vertex:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if(any(lessThan(position, clipBounds[0])) || \\n     any(greaterThan(position, clipBounds[1]))) {\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    gl_Position  = projection * view * model * vec4(position, 1.0);\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\",fragment:n,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},r.contourShader={vertex:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n}\",fragment:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor,1);\\n}\\n\",attributes:[{name:\"position\",type:\"vec3\"}]}},{}],189:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s,l,u,c,h,f,d,p,m,g,v,y,b,x,_,w,M,k,A,T){this.gl=t,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=c,this.triangleNormals=f,this.triangleUVs=h,this.triangleIds=u,this.triangleVAO=d,this.triangleCount=0,this.lineWidth=1,this.edgePositions=p,this.edgeColors=g,this.edgeUVs=v,this.edgeIds=m,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=b,this.pointColors=_,this.pointUVs=w,this.pointSizes=M,this.pointIds=x,this.pointVAO=k,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=A,this.contourVAO=T,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this._model=I,this._view=I,this._projection=I,this._resolution=[1,1]}function i(t){for(var e=w({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return _(r,[256,256,4],[4,0,1])}function a(t,e,r){for(var n=new Array(e),i=0;i<e;++i)n[i]=0;for(var a=t.length,i=0;i<a;++i)for(var o=t[i],s=0;s<o.length;++s)n[o[s]]=r[i];return n}function o(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}function s(t){var e=p(t,S);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function l(t){var e=p(t,E);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function u(t){var e=p(t,L);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function c(t){var e=p(t,C);return e.attributes.position.location=0,e.attributes.id.location=1,e}function h(t){var e=p(t,z);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function f(t){var e=p(t,D);return e.attributes.position.location=0,e}function d(t){var e=t.gl,r=s(e),i=l(e),a=u(e),o=c(e),d=h(e),p=f(e),y=v(e,_(new Uint8Array([255,255,255,255]),[1,1,4]));y.generateMipmap(),y.minFilter=e.LINEAR_MIPMAP_LINEAR,y.magFilter=e.LINEAR;var b=m(e),x=m(e),w=m(e),M=m(e),k=m(e),A=g(e,[{buffer:b,type:e.FLOAT,size:3},{buffer:k,type:e.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:x,type:e.FLOAT,size:4},{buffer:w,type:e.FLOAT,size:2},{buffer:M,type:e.FLOAT,size:3}]),T=m(e),S=m(e),E=m(e),L=m(e),C=g(e,[{buffer:T,type:e.FLOAT,size:3},{buffer:L,type:e.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:S,type:e.FLOAT,size:4},{buffer:E,type:e.FLOAT,size:2}]),z=m(e),D=m(e),I=m(e),P=m(e),O=m(e),j=g(e,[{buffer:z,type:e.FLOAT,size:3},{buffer:O,type:e.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:D,type:e.FLOAT,size:4},{buffer:I,type:e.FLOAT,size:2},{buffer:P,type:e.FLOAT,size:1}]),R=m(e),F=g(e,[{buffer:R,type:e.FLOAT,size:3}]),N=new n(e,y,r,i,a,o,d,p,b,k,x,w,M,A,T,L,S,E,C,z,O,D,I,P,j,R,F);return N.update(t),N}var p=t(\"gl-shader\"),m=t(\"gl-buffer\"),g=t(\"gl-vao\"),v=t(\"gl-texture2d\"),y=t(\"normals\"),b=t(\"gl-mat4/multiply\"),x=t(\"gl-mat4/invert\"),_=t(\"ndarray\"),w=t(\"colormap\"),M=t(\"simplicial-complex-contour\"),k=t(\"typedarray-pool\"),A=t(\"./lib/shaders\"),T=t(\"./lib/closest-point\"),S=A.meshShader,E=A.wireShader,L=A.pointShader,C=A.pickShader,z=A.pointPickShader,D=A.contourShader,I=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],P=n.prototype;P.isOpaque=function(){return this.opacity>=1},P.isTransparent=function(){return this.opacity<1},P.pickSlots=1,P.setPickBase=function(t){this.pickId=t},P.highlight=function(t){if(!t||!this.contourEnable)return void(this.contourCount=0);for(var e=M(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=k.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var u=r[l],c=0;c<2;++c){var h=u[0];2===u.length&&(h=u[c]);for(var f=n[h][0],d=n[h][1],p=i[h],m=1-p,g=this.positions[f],v=this.positions[d],y=0;y<3;++y)o[s++]=p*g[y]+m*v[y]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),k.free(o)},P.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=v(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(i(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var s=[],l=[],u=[],c=[],h=[],f=[],d=[],p=[],m=[],g=[],b=[],x=[],_=[],w=[];this.cells=r,this.positions=n;var M=t.vertexNormals,k=t.cellNormals,A=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,T=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!k&&(k=y.faceNormals(r,n,T)),k||M||(M=y.vertexNormals(r,n,A))\n",
       ";var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,z=t.vertexIntensity,D=t.cellUVs,I=t.cellIntensity,P=1/0,O=-1/0;if(!C&&!D)if(z)for(var j=0;j<z.length;++j){var R=z[j];P=Math.min(P,R),O=Math.max(O,R)}else if(I)for(var j=0;j<I.length;++j){var R=I[j];P=Math.min(P,R),O=Math.max(O,R)}else for(var j=0;j<n.length;++j){var R=n[j][2];P=Math.min(P,R),O=Math.max(O,R)}this.intensity=z||(I?a(r,n.length,I):o(n));var F=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(var j=0;j<n.length;++j)for(var B=n[j],U=0;U<3;++U)!isNaN(B[U])&&isFinite(B[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],B[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],B[U]));var V=0,H=0,q=0;t:for(var j=0;j<r.length;++j){var G=r[j];switch(G.length){case 1:for(var Y=G[0],B=n[Y],U=0;U<3;++U)if(isNaN(B[U])||!isFinite(B[U]))continue t;g.push(B[0],B[1],B[2]);var W;W=S?S[Y]:E?E[j]:L,3===W.length?b.push(W[0],W[1],W[2],1):b.push(W[0],W[1],W[2],W[3]);var X;X=C?C[Y]:z?[(z[Y]-P)/(O-P),0]:D?D[j]:I?[(I[j]-P)/(O-P),0]:[(B[2]-P)/(O-P),0],x.push(X[0],X[1]),F?_.push(F[Y]):_.push(N),w.push(j),q+=1;break;case 2:for(var U=0;U<2;++U)for(var Y=G[U],B=n[Y],Z=0;Z<3;++Z)if(isNaN(B[Z])||!isFinite(B[Z]))continue t;for(var U=0;U<2;++U){var Y=G[U],B=n[Y];f.push(B[0],B[1],B[2]);var W;W=S?S[Y]:E?E[j]:L,3===W.length?d.push(W[0],W[1],W[2],1):d.push(W[0],W[1],W[2],W[3]);var X;X=C?C[Y]:z?[(z[Y]-P)/(O-P),0]:D?D[j]:I?[(I[j]-P)/(O-P),0]:[(B[2]-P)/(O-P),0],p.push(X[0],X[1]),m.push(j)}H+=1;break;case 3:for(var U=0;U<3;++U)for(var Y=G[U],B=n[Y],Z=0;Z<3;++Z)if(isNaN(B[Z])||!isFinite(B[Z]))continue t;for(var U=0;U<3;++U){var Y=G[U],B=n[Y];s.push(B[0],B[1],B[2]);var W;W=S?S[Y]:E?E[j]:L,3===W.length?l.push(W[0],W[1],W[2],1):l.push(W[0],W[1],W[2],W[3]);var X;X=C?C[Y]:z?[(z[Y]-P)/(O-P),0]:D?D[j]:I?[(I[j]-P)/(O-P),0]:[(B[2]-P)/(O-P),0],c.push(X[0],X[1]);var J;J=M?M[Y]:k[j],u.push(J[0],J[1],J[2]),h.push(j)}V+=1}}this.pointCount=q,this.edgeCount=H,this.triangleCount=V,this.pointPositions.update(g),this.pointColors.update(b),this.pointUVs.update(x),this.pointSizes.update(_),this.pointIds.update(new Uint32Array(w)),this.edgePositions.update(f),this.edgeColors.update(d),this.edgeUVs.update(p),this.edgeIds.update(new Uint32Array(m)),this.trianglePositions.update(s),this.triangleColors.update(l),this.triangleUVs.update(c),this.triangleNormals.update(u),this.triangleIds.update(new Uint32Array(h))}},P.drawTransparent=P.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||I,n=t.view||I,i=t.projection||I,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,contourColor:this.contourColor,texture:0};this.texture.bind(0);var l=new Array(16);b(l,s.view,s.model),b(l,s.projection,l),x(l,l);for(var o=0;o<3;++o)s.eyePosition[o]=l[12+o]/l[15];for(var u=l[15],o=0;o<3;++o)u+=this.lightPosition[o]*l[4*o+3];for(var o=0;o<3;++o){for(var c=l[12+o],h=0;h<3;++h)c+=l[4*h+o]*this.lightPosition[h];s.lightPosition[o]=c/u}if(this.triangleCount>0){var f=this.triShader;f.bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}if(this.edgeCount>0&&this.lineWidth>0){var f=this.lineShader;f.bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()}if(this.pointCount>0){var f=this.pointShader;f.bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()}if(this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0){var f=this.contourShader;f.bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind()}},P.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||I,n=t.view||I,i=t.projection||I,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255},l=this.pickShader;if(l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0){var l=this.pointPickShader;l.bind(),l.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()}},P.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=T(i,[t.coord[0],this._resolution[1]-t.coord[1]],this._model,this._view,this._projection,this._resolution);if(!o)return null;for(var s=o[2],l=0,a=0;a<r.length;++a)l+=s[a]*this.intensity[r[a]];return{position:o[1],index:r[o[0]],cell:r,cellId:e,intensity:l,dataCoordinate:this.positions[r[o[0]]]}},P.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},e.exports=d},{\"./lib/closest-point\":187,\"./lib/shaders\":188,colormap:92,\"gl-buffer\":141,\"gl-mat4/invert\":165,\"gl-mat4/multiply\":167,\"gl-shader\":239,\"gl-texture2d\":251,\"gl-vao\":255,ndarray:449,normals:451,\"simplicial-complex-contour\":498,\"typedarray-pool\":521}],190:[function(t,e,r){\"use strict\";function n(t,e,r){this.plot=t,this.vbo=e,this.shader=r}function i(t){var e=t.gl;return new n(t,a(e,[0,0,0,1,1,0,1,1]),o(e,s.boxVert,s.lineFrag))}e.exports=i;var a=t(\"gl-buffer\"),o=t(\"gl-shader\"),s=t(\"./shaders\"),l=n.prototype;l.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},l.drawBox=function(){var t=[0,0],e=[0,0];return function(r,n,i,a,o){var s=this.plot,l=this.shader,u=s.gl;t[0]=r,t[1]=n,e[0]=i,e[1]=a,l.uniforms.lo=t,l.uniforms.hi=e,l.uniforms.color=o,u.drawArrays(u.TRIANGLE_STRIP,0,4)}}(),l.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":193,\"gl-buffer\":141,\"gl-shader\":196}],191:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function i(t,e){return t-e}function a(t){var e=t.gl;return new n(t,o(e),s(e,u.gridVert,u.gridFrag),s(e,u.tickVert,u.gridFrag))}e.exports=a;var o=t(\"gl-buffer\"),s=t(\"gl-shader\"),l=t(\"binary-search-bounds\"),u=t(\"./shaders\"),c=n.prototype;c.draw=function(){var t=[0,0],e=[0,0],r=[0,0];return function(){for(var n=this.plot,i=this.vbo,a=this.shader,o=this.ticks,s=n.gl,l=n._tickBounds,u=n.dataBox,c=n.viewBox,h=n.gridLineWidth,f=n.gridLineColor,d=n.gridLineEnable,p=n.pixelRatio,m=0;m<2;++m){var g=l[m],v=l[m+2],y=v-g,b=.5*(u[m+2]+u[m]),x=u[m+2]-u[m];e[m]=2*y/x,t[m]=2*(g-b)/x}a.bind(),i.bind(),a.attributes.dataCoord.pointer(),a.uniforms.dataShift=t,a.uniforms.dataScale=e;for(var _=0,m=0;m<2;++m){r[0]=r[1]=0,r[m]=1,a.uniforms.dataAxis=r,a.uniforms.lineWidth=h[m]/(c[m+2]-c[m])*p,a.uniforms.color=f[m];var w=6*o[m].length;d[m]&&w&&s.drawArrays(s.TRIANGLES,_,w),_+=w}}}(),c.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],a=[0,0],o=[0,0];return function(){for(var s=this.plot,u=this.vbo,c=this.tickShader,h=this.ticks,f=s.gl,d=s._tickBounds,p=s.dataBox,m=s.viewBox,g=s.pixelRatio,v=s.screenBox,y=v[2]-v[0],b=v[3]-v[1],x=m[2]-m[0],_=m[3]-m[1],w=0;w<2;++w){var M=d[w],k=d[w+2],A=k-M,T=.5*(p[w+2]+p[w]),S=p[w+2]-p[w];e[w]=2*A/S,t[w]=2*(M-T)/S}e[0]*=x/y,t[0]*=x/y,e[1]*=_/b,t[1]*=_/b,c.bind(),u.bind(),c.attributes.dataCoord.pointer();var E=c.uniforms;E.dataShift=t,E.dataScale=e;var L=s.tickMarkLength,C=s.tickMarkWidth,z=s.tickMarkColor,D=6*h[0].length,I=Math.min(l.ge(h[0],(p[0]-d[0])/(d[2]-d[0]),i),h[0].length),P=Math.min(l.gt(h[0],(p[2]-d[0])/(d[2]-d[0]),i),h[0].length),O=0+6*I,j=6*Math.max(0,P-I),R=Math.min(l.ge(h[1],(p[1]-d[1])/(d[3]-d[1]),i),h[1].length),F=Math.min(l.gt(h[1],(p[3]-d[1])/(d[3]-d[1]),i),h[1].length),N=D+6*R,B=6*Math.max(0,F-R);a[0]=2*(m[0]-L[1])/y-1,a[1]=(m[3]+m[1])/b-1,o[0]=L[1]*g/y,o[1]=C[1]*g/b,B&&(E.color=z[1],E.tickScale=o,E.dataAxis=n,E.screenOffset=a,f.drawArrays(f.TRIANGLES,N,B)),a[0]=(m[2]+m[0])/y-1,a[1]=2*(m[1]-L[0])/b-1,o[0]=C[0]*g/y,o[1]=L[0]*g/b,j&&(E.color=z[0],E.tickScale=o,E.dataAxis=r,E.screenOffset=a,f.drawArrays(f.TRIANGLES,O,j)),a[0]=2*(m[2]+L[3])/y-1,a[1]=(m[3]+m[1])/b-1,o[0]=L[3]*g/y,o[1]=C[3]*g/b,B&&(E.color=z[3],E.tickScale=o,E.dataAxis=n,E.screenOffset=a,f.drawArrays(f.TRIANGLES,N,B)),a[0]=(m[2]+m[0])/y-1,a[1]=2*(m[3]+L[2])/b-1,o[0]=C[2]*g/y,o[1]=L[2]*g/b,j&&(E.color=z[2],E.tickScale=o,E.dataAxis=r,E.screenOffset=a,f.drawArrays(f.TRIANGLES,O,j))}}(),c.update=function(){var 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t=[0,0],e=[0,0];return function(r,n,i,a,o,s){var l=this.plot,u=this.shader,c=l.gl;t[0]=r,t[1]=n,e[0]=i,e[1]=a,u.uniforms.start=t,u.uniforms.end=e,u.uniforms.width=o*l.pixelRatio,u.uniforms.color=s,c.drawArrays(c.TRIANGLE_STRIP,0,4)}}(),l.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":193,\"gl-buffer\":141,\"gl-shader\":196}],193:[function(t,e,r){\"use strict\";var n=\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\";e.exports={lineVert:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * 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a=t(\"gl-buffer\"),o=t(\"gl-shader\"),s=t(\"text-cache\"),l=t(\"binary-search-bounds\"),u=t(\"./shaders\"),c=n.prototype;c.drawTicks=function(){var t=[0,0],e=[0,0],r=[0,0];return function(n){var i=this.plot,a=this.shader,o=this.tickX[n],s=this.tickOffset[n],u=i.gl,c=i.viewBox,h=i.dataBox,f=i.screenBox,d=i.pixelRatio,p=i.tickEnable,m=i.tickPad,g=i.tickColor,v=i.tickAngle,y=i.labelEnable,b=i.labelPad,x=i.labelColor,_=i.labelAngle,w=this.labelOffset[n],M=this.labelCount[n],k=l.lt(o,h[n]),A=l.le(o,h[n+2]);t[0]=t[1]=0,t[n]=1,e[n]=(c[2+n]+c[n])/(f[2+n]-f[n])-1;var T=2/f[2+(1^n)]-f[1^n];e[1^n]=T*c[1^n]-1,p[n]&&(e[1^n]-=T*d*m[n],k<A&&s[A]>s[k]&&(a.uniforms.dataAxis=t,a.uniforms.screenOffset=e,a.uniforms.color=g[n],a.uniforms.angle=v[n],u.drawArrays(u.TRIANGLES,s[k],s[A]-s[k]))),y[n]&&M&&(e[1^n]-=T*d*b[n],a.uniforms.dataAxis=r,a.uniforms.screenOffset=e,a.uniforms.color=x[n],a.uniforms.angle=_[n],u.drawArrays(u.TRIANGLES,w,M)),e[1^n]=T*c[2+(1^n)]-1,p[n+2]&&(e[1^n]+=T*d*m[n+2],k<A&&s[A]>s[k]&&(a.uniforms.dataAxis=t,a.uniforms.screenOffset=e,a.uniforms.color=g[n+2],a.uniforms.angle=v[n+2],u.drawArrays(u.TRIANGLES,s[k],s[A]-s[k]))),y[n+2]&&M&&(e[1^n]+=T*d*b[n+2],a.uniforms.dataAxis=r,a.uniforms.screenOffset=e,a.uniforms.color=x[n+2],a.uniforms.angle=_[n+2],u.drawArrays(u.TRIANGLES,w,M))}}(),c.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,u=r.pixelRatio;if(this.titleCount){for(var 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t=this.gl.lastAttribCount,e=0;e<t;e++)this.gl.disableVertexAttribArray(e);this.gl.lastAttribCount=0,this._fref&&this._fref.dispose(),this._vref&&this._vref.dispose(),this.attributes=this.types=this.vertShader=this.fragShader=this.program=this._relink=this._fref=this._vref=null},f.update=function(t,e,r,n){function a(){d.program=u.program(p,d._vref,d._fref,_,w);for(var t=0;t<r.length;++t)E[t]=p.getUniformLocation(d.program,r[t].name)}if(!e||1===arguments.length){var f=t;t=f.vertex,e=f.fragment,r=f.uniforms,n=f.attributes}var d=this,p=d.gl,m=d._vref;d._vref=u.shader(p,p.VERTEX_SHADER,t),m&&m.dispose(),d.vertShader=d._vref.shader;var g=this._fref;if(d._fref=u.shader(p,p.FRAGMENT_SHADER,e),g&&g.dispose(),d.fragShader=d._fref.shader,!r||!n){var v=p.createProgram();if(p.attachShader(v,d.fragShader),p.attachShader(v,d.vertShader),p.linkProgram(v),!p.getProgramParameter(v,p.LINK_STATUS)){var y=p.getProgramInfoLog(v);throw new h(y,\"Error linking 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gl.vertexAttrib\"+a+\"fv(v,x0)}\");var h=Function.apply(null,l),f=new n(t,e,r,i,a,h);Object.defineProperty(o,s,{set:function(e){return t.disableVertexAttribArray(i[r]),h(t,i[r],e),e},get:function(){return f},enumerable:!0})}function a(t,e,r,n,a,o,s){for(var l=new Array(a),u=new Array(a),c=0;c<a;++c)i(t,e,r[c],n,a,l,c),u[c]=l[c];Object.defineProperty(l,\"location\",{set:function(t){if(Array.isArray(t))for(var e=0;e<a;++e)u[e].location=t[e];else for(var e=0;e<a;++e)u[e].location=t+e;return t},get:function(){for(var t=new Array(a),e=0;e<a;++e)t[e]=n[r[e]];return t},enumerable:!0}),l.pointer=function(e,i,o,s){e=e||t.FLOAT,i=!!i,o=o||a*a,s=s||0;for(var l=0;l<a;++l){var u=n[r[l]];t.vertexAttribPointer(u,a,e,i,o,s+l*a),t.enableVertexAttribArray(u)}};var h=new Array(a),f=t[\"vertexAttrib\"+a+\"fv\"];Object.defineProperty(o,s,{set:function(e){for(var i=0;i<a;++i){var o=n[r[i]];if(t.disableVertexAttribArray(o),Array.isArray(e[0]))f.call(t,o,e[i]);else{for(var 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n=t.createShader(e);if(t.shaderSource(n,r),t.compileShader(n),!t.getShaderParameter(n,t.COMPILE_STATUS)){var i=t.getShaderInfoLog(n);try{var a=h(i,r,e)}catch(t){throw console.warn(\"Failed to format compiler error: \"+t),new c(i,\"Error compiling shader:\\n\"+i)}throw new c(i,a.short,a.long)}return n}function o(t,e,r,n,i){var a=t.createProgram();t.attachShader(a,e),t.attachShader(a,r);for(var o=0;o<n.length;++o)t.bindAttribLocation(a,i[o],n[o]);if(t.linkProgram(a),!t.getProgramParameter(a,t.LINK_STATUS)){var s=t.getProgramInfoLog(a);throw new c(s,\"Error linking program: \"+s)}return a}function s(t){var e=d.get(t);return e||(e=new i(t),d.set(t,e)),e}function l(t,e,r){return s(t).getShaderReference(e,r)}function u(t,e,r,n,i){return s(t).getProgram(e,r,n,i)}r.shader=l,r.program=u;var c=t(\"./GLError\"),h=t(\"gl-format-compiler-error\"),f=\"undefined\"==typeof WeakMap?t(\"weakmap-shim\"):WeakMap,d=new f,p=0;n.prototype.dispose=function(){if(0==--this.count){for(var t=this.cache,e=t.gl,r=this.programs,n=0,i=r.length;n<i;++n){var a=t.programs[r[n]];a&&(delete t.programs[n],e.deleteProgram(a))}e.deleteShader(this.shader),delete t.shaders[this.type===e.FRAGMENT_SHADER|0][this.src]}};var m=i.prototype;m.getShaderReference=function(t,e){var r=this.gl,i=this.shaders[t===r.FRAGMENT_SHADER|0],o=i[e];if(o&&r.isShader(o.shader))o.count+=1;else{var s=a(r,t,e);o=i[e]=new n(p++,e,t,s,[],1,this)}return o},m.getProgram=function(t,e,r,n){var i=[t.id,e.id,r.join(\":\"),n.join(\":\")].join(\"@\"),a=this.programs[i];return a&&this.gl.isProgram(a)||(this.programs[i]=a=o(this.gl,t.shader,e.shader,r,n),t.programs.push(i),e.programs.push(i)),a}},{\"./GLError\":197,\"gl-format-compiler-error\":149,\"weakmap-shim\":542}],203:[function(t,e,r){\"use strict\";function 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t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var u=this.borderColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT),t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var c=this.backgroundColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var h=this.zeroLineEnable,f=this.zeroLineColor,d=this.zeroLineWidth;if(h[0]||h[1]){o.bind();for(var p=0;p<2;++p)if(h[p]&&n[p]<=0&&n[p+2]>=0){var m=e[p]-n[p]*(e[p+2]-e[p])/(n[p+2]-n[p]);0===p?o.drawLine(m,e[1],m,e[3],d[p],f[p]):o.drawLine(e[0],m,e[2],m,d[p],f[p])}}for(var p=0;p<l.length;++p)l[p].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,v=this.borderLineWidth,y=this.borderLineColor;g[1]&&o.drawLine(r[0],r[1]-.5*v[1]*i,r[0],r[3]+.5*v[3]*i,v[1],y[1]),g[0]&&o.drawLine(r[0]-.5*v[0]*i,r[1],r[2]+.5*v[2]*i,r[1],v[0],y[0]),\n",
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e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},f.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},f.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},f.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]);this.screenBox;this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,o=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/o,10,10/o]),this.borderColor=(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=i(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=i(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=i(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t&&!t.titleEnable),this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=i(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=i(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=i(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var s=t.ticks||[[],[]],l=this._tickBounds;l[0]=l[1]=1/0,l[2]=l[3]=-1/0;for(var u=0;u<2;++u){var c=s[u].slice(0);0!==c.length&&(c.sort(a),l[u]=Math.min(l[u],c[0].x),l[u+2]=Math.max(l[u+2],c[c.length-1].x))}this.grid.update({bounds:l,ticks:s}),this.text.update({bounds:l,ticks:s,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\"}),this.static=!!t.static,this.setDirty()},f.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();this.objects.length=0;for(var t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},f.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},f.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},f.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},f.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},{\"./lib/box\":190,\"./lib/grid\":191,\"./lib/line\":192,\"./lib/text\":194,\"gl-select-static\":238}],204:[function(t,e,r){var n=t(\"gl-shader\");e.exports=function(t){return n(t,\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\",\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\",null,[{name:\"position\",type:\"vec2\"}])}},{\"gl-shader\":239}],205:[function(t,e,r){\"use strict\";function n(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function i(t,e){var r=null;try{r=t.getContext(\"webgl\",e),r||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}function a(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){var r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function o(t){return\"boolean\"!=typeof t||t}function s(t){function e(){if(!w&&G.autoResize){var t=M.parentNode,e=1,r=1;t&&t!==document.body?(e=t.clientWidth,r=t.clientHeight):(e=window.innerWidth,r=window.innerHeight);var n=0|Math.ceil(e*G.pixelRatio),i=0|Math.ceil(r*G.pixelRatio);if(n!==M.width||i!==M.height){M.width=n,M.height=i;var a=M.style;a.position=a.position||\"absolute\",a.left=\"0px\",a.top=\"0px\",a.width=e+\"px\",a.height=r+\"px\",N=!0}}}function r(){for(var t=O.length,e=F.length,r=0;r<e;++r)R[r]=0;t:for(var r=0;r<t;++r){var n=O[r],i=n.pickSlots;if(i){for(var a=0;a<e;++a)if(R[a]+i<255){j[r]=a,n.setPickBase(R[a]+1),R[a]+=i;continue t}var o=f(A,q);j[r]=e,F.push(o),R.push(i),n.setPickBase(1),e+=1}else j[r]=-1}for(;e>0&&0===R[e-1];)R.pop(),F.pop().dispose()}function s(){if(G.contextLost)return!0;A.isContextLost()&&(G.contextLost=!0,G.mouseListener.enabled=!1,G.selection.object=null,G.oncontextloss&&G.oncontextloss())}function b(){if(!s()){A.colorMask(!0,!0,!0,!0),A.depthMask(!0),A.disable(A.BLEND),A.enable(A.DEPTH_TEST);for(var t=O.length,e=F.length,r=0;r<e;++r){var n=F[r];n.shape=Y,n.begin();for(var i=0;i<t;++i)if(j[i]===r){var a=O[i];a.drawPick&&(a.pixelRatio=1,a.drawPick(H))}n.end()}}}function x(){if(!s()){e();var t=G.camera.tick();H.view=G.camera.matrix,N=N||t,B=B||t,D.pixelRatio=G.pixelRatio,P.pixelRatio=G.pixelRatio;var r=O.length,n=Z[0],i=Z[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<r;++o){var l=O[o];l.pixelRatio=G.pixelRatio,l.axes=G.axes,N=N||!!l.dirty,B=B||!!l.dirty;var u=l.bounds;if(u)for(var h=u[0],f=u[1],d=0;d<3;++d)n[d]=Math.min(n[d],h[d]),i[d]=Math.max(i[d],f[d])}var m=G.bounds;if(G.autoBounds)for(var d=0;d<3;++d){if(i[d]<n[d])n[d]=-1,i[d]=1;else{n[d]===i[d]&&(n[d]-=1,i[d]+=1);var v=.05*(i[d]-n[d]);n[d]=n[d]-v,i[d]=i[d]+v}m[0][d]=n[d],m[1][d]=i[d]}for(var y=!1,d=0;d<3;++d)y=y||J[0][d]!==m[0][d]||J[1][d]!==m[1][d],J[0][d]=m[0][d],J[1][d]=m[1][d];if(B=B||y,N=N||y){if(y){for(var x=[0,0,0],o=0;o<3;++o)x[o]=a((m[1][o]-m[0][o])/10);D.autoTicks?D.update({bounds:m,tickSpacing:x}):D.update({bounds:m})}var _=A.drawingBufferWidth,w=A.drawingBufferHeight;q[0]=_,q[1]=w,Y[0]=0|Math.max(_/G.pixelRatio,1),Y[1]=0|Math.max(w/G.pixelRatio,1),g(U,G.fovy,_/w,G.zNear,G.zFar);for(var o=0;o<16;++o)V[o]=0;V[15]=1;for(var M=0,o=0;o<3;++o)M=Math.max(M,m[1][o]-m[0][o]);for(var o=0;o<3;++o)G.autoScale?V[5*o]=G.aspect[o]/(m[1][o]-m[0][o]):V[5*o]=1/M,G.autoCenter&&(V[12+o]=.5*-V[5*o]*(m[0][o]+m[1][o]));for(var o=0;o<r;++o){var l=O[o];l.axesBounds=m,G.clipToBounds&&(l.clipBounds=m)}S.object&&(G.snapToData?P.position=S.dataCoordinate:P.position=S.dataPosition,P.bounds=m),B&&(B=!1,b()),G.axesPixels=c(G.axes,H,_,w),G.onrender&&G.onrender(),A.bindFramebuffer(A.FRAMEBUFFER,null),A.viewport(0,0,_,w);var k=G.clearColor;A.clearColor(k[0],k[1],k[2],k[3]),A.clear(A.COLOR_BUFFER_BIT|A.DEPTH_BUFFER_BIT),A.depthMask(!0),A.colorMask(!0,!0,!0,!0),A.enable(A.DEPTH_TEST),A.depthFunc(A.LEQUAL),A.disable(A.BLEND),A.disable(A.CULL_FACE);var T=!1;D.enable&&(T=T||D.isTransparent(),D.draw(H)),P.axes=D,S.object&&P.draw(H),A.disable(A.CULL_FACE);for(var o=0;o<r;++o){var l=O[o];l.axes=D,l.pixelRatio=G.pixelRatio,l.isOpaque&&l.isOpaque()&&l.draw(H),l.isTransparent&&l.isTransparent()&&(T=!0)}if(T){E.shape=q,E.bind(),A.clear(A.DEPTH_BUFFER_BIT),A.colorMask(!1,!1,!1,!1),A.depthMask(!0),A.depthFunc(A.LESS),D.enable&&D.isTransparent()&&D.drawTransparent(H);for(var o=0;o<r;++o){var l=O[o];l.isOpaque&&l.isOpaque()&&l.draw(H)}A.enable(A.BLEND),A.blendEquation(A.FUNC_ADD),A.blendFunc(A.ONE,A.ONE_MINUS_SRC_ALPHA),A.colorMask(!0,!0,!0,!0),A.depthMask(!1),A.clearColor(0,0,0,0),A.clear(A.COLOR_BUFFER_BIT),D.isTransparent()&&D.drawTransparent(H);for(var o=0;o<r;++o){var l=O[o];l.isTransparent&&l.isTransparent()&&l.drawTransparent(H)}A.bindFramebuffer(A.FRAMEBUFFER,null),A.blendFunc(A.ONE,A.ONE_MINUS_SRC_ALPHA),A.disable(A.DEPTH_TEST),L.bind(),E.color[0].bind(0),L.uniforms.accumBuffer=0,p(A),A.disable(A.BLEND)}N=!1;for(var o=0;o<r;++o)O[o].dirty=!1}}}function _(){w||G.contextLost||(requestAnimationFrame(_),x())}t=t||{};var w=!1,M=(t.pixelRatio||parseFloat(window.devicePixelRatio),t.canvas);if(!M)if(M=document.createElement(\"canvas\"),t.container){var k=t.container;k.appendChild(M)}else document.body.appendChild(M);var A=t.gl;if(A||(A=i(M,t.glOptions||{premultipliedAlpha:!0,antialias:!0})),!A)throw new Error(\"webgl not supported\");var T=t.bounds||[[-10,-10,-10],[10,10,10]],S=new n,E=d(A,[A.drawingBufferWidth,A.drawingBufferHeight],{preferFloat:!y}),L=v(A),C=t.camera||{eye:[2,0,0],center:[0,0,0],up:[0,1,0],zoomMin:.1,zoomMax:100,mode:\"turntable\"},z=t.axes||{},D=u(A,z);D.enable=!z.disable;var I=t.spikes||{},P=h(A,I),O=[],j=[],R=[],F=[],N=!0,B=!0,U=new Array(16),V=new Array(16),H={view:null,projection:U,model:V},B=!0,q=[A.drawingBufferWidth,A.drawingBufferHeight],G={gl:A,contextLost:!1,pixelRatio:t.pixelRatio||parseFloat(window.devicePixelRatio),canvas:M,selection:S,camera:l(M,C),axes:D,axesPixels:null,spikes:P,bounds:T,objects:O,shape:q,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:o(t.autoResize),autoBounds:o(t.autoBounds),autoScale:!!t.autoScale,autoCenter:o(t.autoCenter),clipToBounds:o(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:H,oncontextloss:null,mouseListener:null},Y=[A.drawingBufferWidth/G.pixelRatio|0,A.drawingBufferHeight/G.pixelRatio|0];G.autoResize&&e(),window.addEventListener(\"resize\",e),G.update=function(t){w||(t=t||{},N=!0,B=!0)},G.add=function(t){w||(t.axes=D,O.push(t),j.push(-1),N=!0,B=!0,r())},G.remove=function(t){if(!w){var e=O.indexOf(t);e<0||(O.splice(e,1),j.pop(),N=!0,B=!0,r())}},G.dispose=function(){if(!w&&(w=!0,window.removeEventListener(\"resize\",e),M.removeEventListener(\"webglcontextlost\",s),G.mouseListener.enabled=!1,!G.contextLost)){D.dispose(),P.dispose();for(var t=0;t<O.length;++t)O[t].dispose();E.dispose();for(var t=0;t<F.length;++t)F[t].dispose();L.dispose(),A=null,D=null,P=null,O=[]}};var W=!1,X=0;G.mouseListener=m(M,function(t,e,r){if(!w){var n=F.length,i=O.length,a=S.object;S.distance=1/0,S.mouse[0]=e,S.mouse[1]=r,S.object=null,S.screen=null,S.dataCoordinate=S.dataPosition=null;var o=!1;if(t&&X)W=!0;else{W&&(B=!0),W=!1;for(var s=0;s<n;++s){var l=F[s].query(e,Y[1]-r-1,G.pickRadius);if(l){if(l.distance>S.distance)continue;for(var u=0;u<i;++u){var c=O[u];if(j[u]===s){var h=c.pick(l);h&&(S.buttons=t,S.screen=l.coord,S.distance=l.distance,S.object=c,S.index=h.distance,S.dataPosition=h.position,S.dataCoordinate=h.dataCoordinate,S.data=h,o=!0)}}}}}a&&a!==S.object&&(a.highlight&&a.highlight(null),N=!0),S.object&&(S.object.highlight&&S.object.highlight(S.data),N=!0),o=o||S.object!==a,o&&G.onselect&&G.onselect(S),1&t&&!(1&X)&&G.onclick&&G.onclick(S),X=t}}),M.addEventListener(\"webglcontextlost\",s);var Z=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],J=[Z[0].slice(),Z[1].slice()];return _(),G.redraw=function(){w||(N=!0,x())},G}e.exports=s;var l=t(\"3d-view-controls\"),u=t(\"gl-axes3d\"),c=t(\"gl-axes3d/properties\"),h=t(\"gl-spikes3d\"),f=t(\"gl-select-static\"),d=t(\"gl-fbo\"),p=t(\"a-big-triangle\"),m=t(\"mouse-change\"),g=t(\"gl-mat4/perspective\"),v=t(\"./lib/shader\"),y=t(\"is-mobile\")()},{\"./lib/shader\":204,\"3d-view-controls\":32,\"a-big-triangle\":34,\"gl-axes3d\":133,\"gl-axes3d/properties\":140,\"gl-fbo\":148,\"gl-mat4/perspective\":168,\"gl-select-static\":238,\"gl-spikes3d\":248,\"is-mobile\":278,\"mouse-change\":434}],206:[function(t,e,r){r.pointVertex=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\",r.pointFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\",r.pickVertex=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\",r.pickFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"},{}],207:[function(t,e,r){arguments[4][196][0].apply(r,arguments)},{\"./lib/GLError\":208,\"./lib/create-attributes\":209,\"./lib/create-uniforms\":210,\"./lib/reflect\":211,\"./lib/runtime-reflect\":212,\"./lib/shader-cache\":213,dup:196}],208:[function(t,e,r){arguments[4][197][0].apply(r,arguments)},{dup:197}],209:[function(t,e,r){arguments[4][198][0].apply(r,arguments)},{\"./GLError\":208,dup:198}],210:[function(t,e,r){arguments[4][199][0].apply(r,arguments)},{\"./GLError\":208,\"./reflect\":211,dup:199}],211:[function(t,e,r){arguments[4][200][0].apply(r,arguments)},{dup:200}],212:[function(t,e,r){arguments[4][201][0].apply(r,arguments)},{dup:201}],213:[function(t,e,r){arguments[4][202][0].apply(r,arguments)},{\"./GLError\":208,dup:202,\"gl-format-compiler-error\":149,\"weakmap-shim\":542}],214:[function(t,e,r){\"use strict\";function n(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}function i(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}function a(t,e){var r=t.gl,i=s(r),a=s(r),l=o(r,u.pointVertex,u.pointFragment),c=o(r,u.pickVertex,u.pickFragment),h=new n(t,i,a,l,c);return h.update(e),t.addObject(h),h}var o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"typedarray-pool\"),u=t(\"./lib/shader\");e.exports=a;var c=n.prototype;c.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},c.update=function(t){function e(e,r){return e in t?t[e]:r}var r;t=t||{},this.sizeMin=e(\"sizeMin\",.5),this.sizeMax=e(\"sizeMax\",20),this.color=e(\"color\",[1,0,0,1]).slice(),this.areaRatio=e(\"areaRatio\",1),this.borderColor=e(\"borderColor\",[0,0,0,1]).slice(),this.blend=e(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,a=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,o=t.positions,s=i?o:l.mallocFloat32(o.length),u=a?t.idToIndex:l.mallocInt32(n);if(i||s.set(o),!a)for(s.set(o),r=0;r<n;r++)u[r]=r;this.points=o,this.offsetBuffer.update(s),this.pickBuffer.update(u),i||l.free(s),a||l.free(u),this.pointCount=n,this.pickOffset=0},c.unifiedDraw=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=void 0!==r,a=n?this.pickShader:this.shader,o=this.plot.gl,s=this.plot.dataBox;if(0===this.pointCount)return r;var l=s[2]-s[0],u=s[3]-s[1],c=i(this.points,s),h=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(c,.33333)));t[0]=2/l,t[4]=2/u,t[6]=-2*s[0]/l-1,t[7]=-2*s[1]/u-1,this.offsetBuffer.bind(),a.bind(),a.attributes.position.pointer(),a.uniforms.matrix=t,a.uniforms.color=this.color,a.uniforms.borderColor=this.borderColor,a.uniforms.pointCloud=h<5,a.uniforms.pointSize=h,a.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),n&&(e[0]=255&r,e[1]=r>>8&255,e[2]=r>>16&255,e[3]=r>>24&255,this.pickBuffer.bind(),a.attributes.pickId.pointer(o.UNSIGNED_BYTE),a.uniforms.pickOffset=e,this.pickOffset=r);var f=o.getParameter(o.BLEND),d=o.getParameter(o.DITHER);return f&&!this.blend&&o.disable(o.BLEND),d&&o.disable(o.DITHER),o.drawArrays(o.POINTS,0,this.pointCount),f&&!this.blend&&o.enable(o.BLEND),d&&o.enable(o.DITHER),r+this.pointCount}}(),c.draw=c.unifiedDraw,c.drawPick=c.unifiedDraw,c.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},{\"./lib/shader\":206,\"gl-buffer\":141,\"gl-shader\":207,\"typedarray-pool\":521}],215:[function(t,e,r){function n(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],h=e[2],f=e[3],d=r[0],p=r[1],m=r[2],g=r[3];return a=u*d+c*p+h*m+f*g,a<0&&(a=-a,d=-d,p=-p,m=-m,g=-g),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*u+l*d,t[1]=s*c+l*p,t[2]=s*h+l*m,t[3]=s*f+l*g,t}e.exports=n},{}],216:[function(t,e,r){\"use strict\";e.exports={vertex:\"precision highp float;\\n#define GLSLIFY 1\\n\\n\\nvec4 computePosition_1_0(vec2 posHi, vec2 posLo, vec2 scHi, vec2 scLo, vec2 trHi, vec2 trLo) {\\n  return vec4((posHi + trHi) * scHi\\n  \\t\\t\\t//FIXME: this thingy does not give noticeable precision gain, need test\\n            + (posLo + trLo) * scHi\\n            + (posHi + trHi) * scLo\\n            + (posLo + trLo) * scLo\\n            , 0, 1);\\n}\\n\\n\\nattribute vec2 positionHi, positionLo;\\nattribute float size, border;\\nattribute vec2 char, color;\\n\\n//this is 64-bit form of scale and translate\\nuniform vec2 scaleHi, scaleLo, translateHi, translateLo;\\nuniform float pixelRatio;\\nuniform vec4 viewBox;\\nuniform sampler2D palette;\\n\\nvarying vec4 charColor, borderColor;\\nvarying vec2 charId;\\nvarying vec2 pointCoord;\\nvarying float pointSize;\\nvarying float borderWidth;\\n\\n\\nvoid main() {\\n  charColor = texture2D(palette, vec2(color.x / 255., 0));\\n  borderColor = texture2D(palette, vec2(color.y / 255., 0));\\n\\n  gl_PointSize = size * pixelRatio;\\n  pointSize = size * pixelRatio;\\n\\n  charId = char;\\n  borderWidth = border;\\n\\n  gl_Position = computePosition_1_0(\\n    positionHi, positionLo,\\n    scaleHi, scaleLo,\\n    translateHi, translateLo);\\n\\n  pointCoord = viewBox.xy + (viewBox.zw - viewBox.xy) * (gl_Position.xy * .5 + .5);\\n}\\n\",fragment:\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D chars;\\nuniform vec2 charsShape;\\nuniform float charsStep, pixelRatio, charOffset;\\n\\nvarying vec4 borderColor;\\nvarying vec4 charColor;\\nvarying vec2 charId;\\nvarying vec2 pointCoord;\\nvarying float pointSize;\\nvarying float borderWidth;\\n\\nvoid main() {\\n\\tvec2 pointUV = (pointCoord - gl_FragCoord.xy + pointSize * .5) / pointSize;\\n\\tpointUV.x = 1. - pointUV.x;\\n\\tpointUV.y += charOffset;\\n\\tvec2 texCoord = ((charId + pointUV) * charsStep) / charsShape;\\n\\tfloat dist = texture2D(chars, texCoord).r;\\n\\n\\t//max-distance alpha\\n\\tif (dist < 1e-2)\\n\\t\\tdiscard;\\n\\n\\tfloat dif = 5. * pixelRatio * borderWidth / pointSize;\\n\\tfloat borderLevel = .748 - dif * .5;\\n\\tfloat charLevel = .748 + dif * .5;\\n\\tfloat gamma = .005 * charsStep / pointSize;\\n\\n\\tfloat borderAmt = smoothstep(borderLevel - gamma, borderLevel + gamma, dist);\\n\\tfloat charAmt = smoothstep(charLevel - gamma, charLevel + gamma, dist);\\n\\n\\tvec4 color = borderColor;\\n\\tcolor.a *= borderAmt;\\n\\n\\tgl_FragColor = mix(color, charColor, charAmt);\\n}\\n\",pickVertex:\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 positionHi, positionLo;\\nattribute vec4 id;\\nattribute float size;\\n\\nuniform vec2 scaleHi, scaleLo, translateHi, translateLo;\\nuniform vec4 pickOffset;\\nuniform float pixelRatio;\\n\\nvarying vec4 fragColor;\\n\\n\\nvec4 computePosition_1_0(vec2 posHi, vec2 posLo, vec2 scHi, vec2 scLo, vec2 trHi, vec2 trLo) {\\n  return vec4((posHi + trHi) * scHi\\n  \\t\\t\\t//FIXME: this thingy does not give noticeable precision gain, need test\\n            + (posLo + trLo) * scHi\\n            + (posHi + trHi) * scLo\\n            + (posLo + trLo) * scLo\\n            , 0, 1);\\n}\\n\\n\\nvoid main() {\\n  vec4 fragId = id + pickOffset;\\n\\n  fragId.y += floor(fragId.x / 256.0);\\n  fragId.x -= floor(fragId.x / 256.0) * 256.0;\\n\\n  fragId.z += floor(fragId.y / 256.0);\\n  fragId.y -= floor(fragId.y / 256.0) * 256.0;\\n\\n  fragId.w += floor(fragId.z / 256.0);\\n  fragId.z -= floor(fragId.z / 256.0) * 256.0;\\n\\n  fragColor = fragId / 255.0;\\n\\n  gl_PointSize = size * .25 * pixelRatio;\\n\\n  gl_Position = computePosition_1_0(\\n    positionHi, positionLo,\\n    scaleHi, scaleLo,\\n    translateHi, translateLo);\\n}\\n\",pickFragment:\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = fragColor;\\n}\\n\"}},{}],217:[function(t,e,r){arguments[4][77][0].apply(r,arguments)},{dup:77}],218:[function(t,e,r){arguments[4][196][0].apply(r,arguments)},{\"./lib/GLError\":219,\"./lib/create-attributes\":220,\"./lib/create-uniforms\":221,\"./lib/reflect\":222,\"./lib/runtime-reflect\":223,\"./lib/shader-cache\":224,dup:196}],219:[function(t,e,r){arguments[4][197][0].apply(r,arguments)},{dup:197}],220:[function(t,e,r){arguments[4][198][0].apply(r,arguments)},{\"./GLError\":219,dup:198}],221:[function(t,e,r){arguments[4][199][0].apply(r,arguments)},{\"./GLError\":219,\"./reflect\":222,dup:199}],222:[function(t,e,r){arguments[4][200][0].apply(r,arguments)},{dup:200}],223:[function(t,e,r){arguments[4][201][0].apply(r,arguments)},{dup:201}],224:[function(t,e,r){arguments[4][202][0].apply(r,arguments)},{\"./GLError\":219,dup:202,\"gl-format-compiler-error\":149,\"weakmap-shim\":542}],225:[function(t,e,r){\"use strict\";function n(t,e,r,n,a){a<=4*f?i(0,a-1,t,e,r,n):h(0,a-1,t,e,r,n)}function i(t,e,r,n,i,a){for(var o=t+1;o<=e;++o){for(var s=r[o],l=n[2*o],u=n[2*o+1],c=i[o],h=a[o],f=o;f>t;){var d=r[f-1],p=n[2*(f-1)];if((d-s||l-p)>=0)break;r[f]=d,n[2*f]=p,n[2*f+1]=n[2*f-1],i[f]=i[f-1],a[f]=a[f-1],f-=1}r[f]=s,n[2*f]=l,n[2*f+1]=u,i[f]=c,a[f]=h}}function a(t,e,r,n,i,a){var o=r[t],s=n[2*t],l=n[2*t+1],u=i[t],c=a[t];r[t]=r[e],n[2*t]=n[2*e],n[2*t+1]=n[2*e+1],i[t]=i[e],a[t]=a[e],r[e]=o,n[2*e]=s,n[2*e+1]=l,i[e]=u,a[e]=c}function o(t,e,r,n,i,a){r[t]=r[e],n[2*t]=n[2*e],n[2*t+1]=n[2*e+1],i[t]=i[e],a[t]=a[e]}function s(t,e,r,n,i,a,o){var s=n[t],l=i[2*t],u=i[2*t+1],c=a[t],h=o[t];n[t]=n[e],i[2*t]=i[2*e],i[2*t+1]=i[2*e+1],a[t]=a[e],o[t]=o[e],n[e]=n[r],i[2*e]=i[2*r],i[2*e+1]=i[2*r+1],a[e]=a[r],o[e]=o[r],n[r]=s,i[2*r]=l,i[2*r+1]=u,a[r]=c,o[r]=h}function l(t,e,r,n,i,a,o,s,l,u,c){s[t]=s[e],l[2*t]=l[2*e],l[2*t+1]=l[2*e+1],u[t]=u[e],c[t]=c[e],s[e]=r,l[2*e]=n,l[2*e+1]=i,u[e]=a,c[e]=o}function u(t,e,r,n,i){return(r[t]-r[e]||n[2*e]-n[2*t]||i[t]-i[e])<0}function c(t,e,r,n,i,a,o,s){return(e-a[t]||o[2*t]-r||i-s[t])<0}function h(t,e,r,n,d,p){var m=(e-t+1)/6|0,g=t+m,v=e-m,y=t+e>>1,b=y-m,x=y+m,_=g,w=b,M=y,k=x,A=v,T=t+1,S=e-1,E=0;u(_,w,r,n,d,p)&&(E=_,_=w,w=E),u(k,A,r,n,d,p)&&(E=k,k=A,A=E),u(_,M,r,n,d,p)&&(E=_,_=M,M=E),u(w,M,r,n,d,p)&&(E=w,w=M,M=E),u(_,k,r,n,d,p)&&(E=_,_=k,k=E),u(M,k,r,n,d,p)&&(E=M,M=k,k=E),u(w,A,r,n,d,p)&&(E=w,w=A,A=E),u(w,M,r,n,d,p)&&(E=w,w=M,M=E),u(k,A,r,n,d,p)&&(E=k,k=A,A=E);var L=r[w],C=n[2*w],z=n[2*w+1],D=d[w],I=p[w],P=r[k],O=n[2*k],j=n[2*k+1],R=d[k],F=p[k],N=_,B=M,U=A,V=g,H=y,q=v,G=r[N],Y=r[B],W=r[U];r[V]=G,r[H]=Y,r[q]=W;for(var X=0;X<2;++X){var Z=n[2*N+X],J=n[2*B+X],Q=n[2*U+X];n[2*V+X]=Z,n[2*H+X]=J,n[2*q+X]=Q}var K=d[N],$=d[B],tt=d[U];d[V]=K,d[H]=$,d[q]=tt;var et=p[N],rt=p[B],nt=p[U];p[V]=et,p[H]=rt,p[q]=nt,o(b,t,r,n,d,p),o(x,e,r,n,d,p);for(var it=T;it<=S;++it)if(c(it,L,C,z,D,r,n,d))it!==T&&a(it,T,r,n,d,p),++T;else if(!c(it,P,O,j,R,r,n,d))for(;;){if(c(S,P,O,j,R,r,n,d)){c(S,L,C,z,D,r,n,d)?(s(it,T,S,r,n,d,p),++T,--S):(a(it,S,r,n,d,p),--S);break}if(--S<it)break}l(t,T-1,L,C,z,D,I,r,n,d,p),l(e,S+1,P,O,j,R,F,r,n,d,p),T-2-t<=f?i(t,T-2,r,n,d,p):h(t,T-2,r,n,d,p),e-(S+2)<=f?i(S+2,e,r,n,d,p):h(S+2,e,r,n,d,p),S-T<=f?i(T,S,r,n,d,p):h(T,S,r,n,d,p)}e.exports=n;var f=32},{}],226:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s){for(var l=r,u=r;u<n;++u){var c=t[2*u],h=t[2*u+1],f=e[u];i<=c&&c<=o&&a<=h&&h<=s&&(u===l?l+=1:(t[2*u]=t[2*l],t[2*u+1]=t[2*l+1],e[u]=e[l],t[2*l]=c,t[2*l+1]=h,e[l]=f,l+=1))}return l}function i(t,e,r){this.pixelSize=t,this.offset=e,this.count=r}function a(t,e,r,a){function l(i,a,o,s,u,c){var h=.5*o,f=s+1,d=u-s;r[_]=d,x[_++]=c;for(var p=0;p<2;++p)for(var m=0;m<2;++m){var g=i+p*h,v=a+m*h,y=n(t,e,f,u,g,v,g+h,v+h);if(y!==f){if(y-f>=Math.max(.9*d,32)){var b=u+s>>>1;l(g,v,h,f,b,c+1),f=b}l(g,v,h,f,y,c+1),f=y}}}var u=t.length>>>1;if(u<1)return[];for(var c=1/0,h=1/0,f=-1/0,d=-1/0,p=0;p<u;++p){var m=t[2*p],g=t[2*p+1];c=Math.min(c,m),f=Math.max(f,m),h=Math.min(h,g),d=Math.max(d,g),e[p]=p}c===f&&(f+=1+Math.abs(f)),h===d&&(d+=1+Math.abs(f));var v=1/(f-c),y=1/(d-h),b=Math.max(f-c,d-h);a=a||[0,0,0,0],a[0]=c,a[1]=h,a[2]=f,a[3]=d;var x=o.mallocInt32(u),_=0;l(c,h,b,0,u,0),s(x,t,e,r,u);for(var w=[],M=0,k=u,_=u-1;_>=0;--_){t[2*_]=(t[2*_]-c)*v,t[2*_+1]=(t[2*_+1]-h)*y;var A=x[_];A!==M&&(w.push(new i(b*Math.pow(.5,A),_+1,k-(_+1))),k=_+1,M=A)}return w.push(new i(b*Math.pow(.5,A+1),0,k)),o.free(x),w}var o=t(\"typedarray-pool\"),s=t(\"./lib/sort\");e.exports=a},{\"./lib/sort\":225,\"typedarray-pool\":521}],227:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.sizeBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.charBuffer=s,this.pointCount=0,this.pickOffset=0,this.points=null,this.scales=[],this.xCoords=[],this.charCanvas=document.createElement(\"canvas\"),this.charTexture=h(this.plot.gl,this.charCanvas),this.charStep=400,this.charOffset=.032,this.snapThreshold=1e4,this.paletteTexture=h(this.plot.gl,[256,1])}function i(t,e){var r=t.gl,i=a(r,l.vertex,l.fragment),s=a(r,l.pickVertex,l.pickFragment),u=o(r),c=o(r),h=o(r),f=o(r),d=o(r),p=new n(t,i,s,u,c,h,f,d);return p.update(e),t.addObject(p),p}e.exports=i;var a=t(\"gl-shader\"),o=t(\"gl-buffer\"),s=t(\"typedarray-pool\"),l=t(\"./lib/shaders\"),u=t(\"snap-points-2d\"),c=t(\"font-atlas-sdf\"),h=t(\"gl-texture2d\"),f=t(\"color-id\"),d=t(\"ndarray\"),p=t(\"clamp\"),m=t(\"binary-search-bounds\"),g=n.prototype;!function(){function t(){var t=this.plot,u=t.viewBox,c=t.dataBox,h=t.pixelRatio,f=c[2]-c[0],d=c[3]-c[1],p=2/f,m=2/d,g=-c[0]-.5*f,v=-c[1]-.5*d;i[0]=p,a[0]=p-i[0],i[1]=m,a[1]=m-i[1],o[0]=g,s[0]=g-o[0],o[1]=v,s[1]=v-o[1];var y=u[2]-u[0],b=u[3]-u[1];e=Math.min(f/y,d/b),l[0]=2*h/y,l[1]=2*h/b,r=c[0],n=c[2]}var e,r,n,i=new Float32Array([0,0]),a=new Float32Array([0,0]),o=new Float32Array([0,0]),s=new Float32Array([0,0]),l=[0,0],u=[0,0,0,0];g.drawPick=function(l){var c=void 0!==l,h=this.plot,f=this.pointCount,d=f>this.snapThreshold;if(!f)return l;t.call(this);var p=h.gl,g=c?this.pickShader:this.shader,v=p.isEnabled(p.BLEND);if(g.bind(),c){this.pickOffset=l;for(var y=0;y<4;++y)u[y]=l>>8*y&255;g.uniforms.pickOffset=u,this.idBuffer.bind(),g.attributes.id.pointer(p.UNSIGNED_BYTE,!1)}else p.blendFuncSeparate(p.SRC_ALPHA,p.ONE_MINUS_SRC_ALPHA,p.ONE,p.ONE_MINUS_SRC_ALPHA),p.blendColor(0,0,0,1),v||p.enable(p.BLEND),this.colorBuffer.bind(),g.attributes.color.pointer(p.UNSIGNED_BYTE,!1),this.charBuffer.bind(),g.attributes.char.pointer(p.UNSIGNED_BYTE,!1),g.uniforms.chars=this.charTexture.bind(0),g.uniforms.charsShape=[this.charCanvas.width,this.charCanvas.height],g.uniforms.charsStep=this.charStep,g.uniforms.palette=this.paletteTexture.bind(1),g.uniforms.charOffset=this.charOffset;this.sizeBuffer.bind(),g.attributes.size.pointer(p.FLOAT,!1,8,0),c||g.attributes.border.pointer(p.FLOAT,!1,8,4),this.positionBuffer.bind(),g.attributes.positionHi.pointer(p.FLOAT,!1,16,0),g.attributes.positionLo.pointer(p.FLOAT,!1,16,8),g.uniforms.pixelRatio=h.pixelRatio,g.uniforms.scaleHi=i,g.uniforms.scaleLo=a,g.uniforms.translateHi=o,g.uniforms.translateLo=s,g.uniforms.viewBox=h.viewBox;var b=this.scales;if(d)for(var x=b.length-1;x>=0;x--){var _=b[x];if(!(_.pixelSize&&_.pixelSize<1.25*e&&x>1)){var w=_.offset,M=_.count+w,k=m.ge(this.xCoords,r,w,M-1),A=m.lt(this.xCoords,n,k,M-1)+1;A>k&&p.drawArrays(p.POINTS,k,A-k)}}else p.drawArrays(p.POINTS,0,f);if(c)return l+f;v?p.blendFunc(p.ONE,p.ONE_MINUS_SRC_ALPHA):p.disable(p.BLEND)}}(),g.draw=g.drawPick,g.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}},g.update=function(t){t=t||{};var e=t.positions||[],r=t.colors||[],n=t.glyphs||[],i=t.sizes||[],a=t.borderWidths||[],o=t.borderColors||[],l=this.plot.gl;null!=t.charOffset&&(this.charOffset=t.charOffset),this.points=e;var h=this.points.length/2,m=s.mallocInt32(h),g=s.mallocFloat32(2*h),v=s.mallocFloat64(2*h);v.set(this.points),this.pointCount=h;var y=h>this.snapThreshold;y&&(this.scales=u(v,m,g));for(var b=s.mallocFloat32(4*h),x=s.mallocFloat32(2*h),_=s.mallocUint8(2*h),w=s.mallocUint32(h),M=s.mallocUint8(2*h),k={},A=[],T=[],S=[],E=0,L=h,C=0;E<L;++E){var z=[255*r[4*E],255*r[4*E+1],255*r[4*E+2],255*r[4*E+3]],D=f(z,!1);null==k[D]&&(k[D]=C++,T.push(z[0]),T.push(z[1]),T.push(z[2]),\n",
       "T.push(z[3])),A.push(D),o&&o.length&&(z=[255*o[4*E],255*o[4*E+1],255*o[4*E+2],255*o[4*E+3]],D=f(z,!1),null==k[D]&&(k[D]=C++,T.push(z[0]),T.push(z[1]),T.push(z[2]),T.push(z[3])),S.push(D))}for(var I={},E=0,L=h,C=0;E<L;E++){var P=n[E];null==I[P]&&(I[P]=C++)}for(var O=0,E=0,L=i.length;E<L;++E)i[E]>O&&(O=i[E]);var j=this.charStep;this.charStep=p(Math.ceil(4*O),128,768);var R=Object.keys(I),F=this.charStep,N=Math.floor(F/2),B=l.getParameter(l.MAX_TEXTURE_SIZE),U=B/F*(B/F),V=Math.min(B,F*R.length),H=Math.min(B,F*Math.ceil(F*R.length/B)),q=Math.floor(V/F);R.length>U&&console.warn(\"gl-scatter2d-fancy: number of characters is more than maximum texture size. Try reducing it.\"),this.chars&&this.chars+\"\"==R+\"\"&&this.charStep==j||(this.charCanvas=c({canvas:this.charCanvas,family:\"sans-serif\",size:N,shape:[V,H],step:[F,F],chars:R}),this.chars=R);for(var E=0;E<h;++E){var G=y?m[E]:E,Y=e[2*G],W=e[2*G+1],X=i[G],Z=a[G];b[4*E]=Y,b[4*E+1]=W,b[4*E+2]=Y-b[4*E],b[4*E+3]=W-b[4*E+1],this.xCoords[E]=Y,x[2*E]=2*X,x[2*E+1]=Z,w[E]=G;var D=A[G],J=k[D];_[2*E]=J;var Q=S[G],K=k[Q];_[2*E+1]=K;var P=n[G],$=I[P];M[2*E+1]=Math.floor($/q),M[2*E]=$%q}this.positionBuffer.update(b),this.sizeBuffer.update(x),this.colorBuffer.update(_),this.idBuffer.update(w),this.charBuffer.update(M),this.charTexture.shape=[this.charCanvas.width,this.charCanvas.height],this.charCanvas&&this.charCanvas.width&&this.charTexture.setPixels(this.charCanvas),this.paletteTexture.setPixels(d(T.slice(0,1024),[256,1,4])),s.free(b),s.free(x),s.free(_),s.free(w),s.free(M),s.free(v),s.free(m),s.free(g)},g.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.sizeBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.charBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":216,\"binary-search-bounds\":217,clamp:81,\"color-id\":85,\"font-atlas-sdf\":119,\"gl-buffer\":141,\"gl-shader\":218,\"gl-texture2d\":251,ndarray:449,\"snap-points-2d\":226,\"typedarray-pool\":521}],228:[function(t,e,r){r.pointVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 positionHi, positionLo;\\nattribute float weight;\\n\\nuniform vec2 scaleHi, scaleLo, translateHi, translateLo;\\nuniform float pointSize, useWeight;\\n\\nvarying float fragWeight;\\n\\n\\nvec4 pfx_1_0(vec2 scaleHi, vec2 scaleLo, vec2 translateHi, vec2 translateLo, vec2 positionHi, vec2 positionLo) {\\n  return vec4((positionHi + translateHi) * scaleHi\\n            + (positionLo + translateLo) * scaleHi\\n            + (positionHi + translateHi) * scaleLo\\n            + (positionLo + translateLo) * scaleLo, 0.0, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position = pfx_1_0(scaleHi, scaleLo, translateHi, translateLo, positionHi, positionLo);\\n  gl_PointSize = pointSize;\\n  fragWeight = mix(1.0, weight, useWeight);\\n}\",r.pointFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\n\\nvarying float fragWeight;\\n\\nfloat smoothStep(float x, float y) {\\n  return 1.0 / (1.0 + exp(50.0*(x - y)));\\n}\\n\\nvoid main() {\\n  float radius = length(2.0*gl_PointCoord.xy-1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  vec4 baseColor = mix(borderColor, color, smoothStep(radius, centerFraction));\\n  float alpha = 1.0 - pow(1.0 - baseColor.a, fragWeight);\\n  gl_FragColor = vec4(baseColor.rgb * alpha, alpha);\\n}\",r.pickVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nvec4 pfx_1_0(vec2 scaleHi, vec2 scaleLo, vec2 translateHi, vec2 translateLo, vec2 positionHi, vec2 positionLo) {\\n  return vec4((positionHi + translateHi) * scaleHi\\n            + (positionLo + translateLo) * scaleHi\\n            + (positionHi + translateHi) * scaleLo\\n            + (positionLo + translateLo) * scaleLo, 0.0, 1.0);\\n}\\n\\nattribute vec2 positionHi, positionLo;\\nattribute vec4 pickId;\\n\\nuniform vec2 scaleHi, scaleLo, translateHi, translateLo;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_Position = pfx_1_0(scaleHi, scaleLo, translateHi, translateLo, positionHi, positionLo);\\n  gl_PointSize = pointSize;\\n  fragId = id;\\n}\",r.pickFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\"},{}],229:[function(t,e,r){arguments[4][77][0].apply(r,arguments)},{dup:77}],230:[function(t,e,r){arguments[4][225][0].apply(r,arguments)},{dup:225}],231:[function(t,e,r){arguments[4][226][0].apply(r,arguments)},{\"./lib/sort\":230,dup:226,\"typedarray-pool\":521}],232:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o){this.plot=t,this.positionBufferHi=e,this.positionBufferLo=r,this.pickBuffer=n,this.weightBuffer=i,this.shader=a,this.pickShader=o,this.scales=[],this.size=12,this.borderSize=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0,this.points=null,this.xCoords=null}function i(t,e){var r=t.gl,i=o(r),s=o(r),l=o(r),u=o(r),h=a(r,c.pointVertex,c.pointFragment),f=a(r,c.pickVertex,c.pickFragment),d=new n(t,i,s,l,u,h,f);return d.update(e),t.addObject(d),d}var a=t(\"gl-shader\"),o=t(\"gl-buffer\"),s=t(\"binary-search-bounds\"),l=t(\"snap-points-2d\"),u=t(\"typedarray-pool\"),c=t(\"./lib/shader\");e.exports=i;var h=n.prototype,f=new Float32Array(2),d=new Float32Array(2),p=new Float32Array(2),m=new Float32Array(2),g=[0,0,0,0];h.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBufferHi.dispose(),this.positionBufferLo.dispose(),this.pickBuffer.dispose(),this.xCoords&&u.free(this.xCoords),this.plot.removeObject(this)},h.update=function(t){function e(e,r){return e in t?t[e]:r}t=t||{},this.size=e(\"size\",12),this.color=e(\"color\",[1,0,0,1]).slice(),this.borderSize=e(\"borderSize\",1),this.borderColor=e(\"borderColor\",[0,0,0,1]).slice(),this.xCoords&&u.free(this.xCoords),this.points=t.positions;var r=this.points.length>>>1,n=u.mallocInt32(r),i=u.mallocFloat32(2*r),a=u.mallocFloat64(2*r);a.set(this.points),this.scales=l(a,n,i,this.bounds);var o=u.mallocFloat64(r),s=u.mallocFloat32(2*r),c=u.mallocFloat32(2*r);s.set(a);for(var h=0,f=0;h<r;h++,f+=2)c[f]=a[f]-s[f],c[f+1]=a[f+1]-s[f+1],o[h]=a[f];this.positionBufferHi.update(s),this.positionBufferLo.update(c),this.pickBuffer.update(n),this.weightBuffer.update(i),u.free(n),u.free(a),u.free(s),u.free(c),u.free(i),this.xCoords=o,this.pointCount=r,this.pickOffset=0},h.draw=function(t){var e=void 0!==t,r=this.plot,n=e?this.pickShader:this.shader,i=this.scales,a=this.positionBufferHi,o=this.positionBufferLo,l=this.pickBuffer,u=this.bounds,c=this.size,h=this.borderSize,v=r.gl,y=e?r.pickPixelRatio:r.pixelRatio,b=r.viewBox,x=r.dataBox;if(0===this.pointCount)return t;var _=u[2]-u[0],w=u[3]-u[1],M=x[2]-x[0],k=x[3]-x[1],A=(b[2]-b[0])*y/r.pixelRatio,T=(b[3]-b[1])*y/r.pixelRatio,S=Math.min(M/A,k/T),E=2*_/M,L=2*w/k;f[0]=E,f[1]=L,d[0]=E-f[0],d[1]=L-f[1];var C=(u[0]-x[0]-.5*M)/_,z=(u[1]-x[1]-.5*k)/w;p[0]=C,p[1]=z,m[0]=C-p[0],m[1]=z-p[1],n.bind(),n.uniforms.scaleHi=f,n.uniforms.scaleLo=d,n.uniforms.translateHi=p,n.uniforms.translateLo=m,n.uniforms.color=this.color,n.uniforms.borderColor=this.borderColor,n.uniforms.pointSize=y*(c+h),n.uniforms.centerFraction=0===this.borderSize?2:c/(c+h+1.25),a.bind(),n.attributes.positionHi.pointer(),o.bind(),n.attributes.positionLo.pointer(),e?(this.pickOffset=t,g[0]=255&t,g[1]=t>>8&255,g[2]=t>>16&255,g[3]=t>>24&255,n.uniforms.pickOffset=g,l.bind(),n.attributes.pickId.pointer(v.UNSIGNED_BYTE)):(n.uniforms.useWeight=1,this.weightBuffer.bind(),n.attributes.weight.pointer());for(var D=this.xCoords,I=(x[0]-u[0]-S*c*y)/_,P=(x[2]-u[0]+S*c*y)/_,O=!0,j=i.length-1;j>=0;j--){var R=i[j];if(!(R.pixelSize<S&&j>1)){var F=R.offset,N=R.count+F,B=s.ge(D,I,F,N-1),U=s.lt(D,P,B,N-1)+1;U>B&&v.drawArrays(v.POINTS,B,U-B),!e&&O&&(O=!1,n.uniforms.useWeight=0)}}return t+this.pointCount},h.drawPick=h.draw,h.pick=function(t,e,r){var n=r-this.pickOffset;return n<0||n>=this.pointCount?null:{object:this,pointId:n,dataCoord:[this.points[2*n],this.points[2*n+1]]}}},{\"./lib/shader\":228,\"binary-search-bounds\":229,\"gl-buffer\":141,\"gl-shader\":239,\"snap-points-2d\":231,\"typedarray-pool\":521}],233:[function(t,e,r){\"use strict\";function n(t,e){var r=a[e];if(r||(r=a[e]={}),t in r)return r[t];for(var n=i(t,{textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e}),o=i(t,{triangles:!0,textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e}),s=[[1/0,1/0],[-1/0,-1/0]],l=0;l<n.positions.length;++l)for(var u=n.positions[l],c=0;c<2;++c)s[0][c]=Math.min(s[0][c],u[c]),s[1][c]=Math.max(s[1][c],u[c]);return r[t]=[o,n,s]}var i=t(\"vectorize-text\");e.exports=n;var a={}},{\"vectorize-text\":534}],234:[function(t,e,r){function n(t,e){var r=i(t,e),n=r.attributes;return n.position.location=0,n.color.location=1,n.glyph.location=2,n.id.location=3,r}var i=t(\"gl-shader\"),a=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if(any(lessThan(position, clipBounds[0]))   || \\n     any(greaterThan(position, clipBounds[1])) ) {\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n    \\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\",o=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if(any(lessThan(position, clipBounds[0])) || any(greaterThan(position, clipBounds[1]))) {\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n    \\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\",s=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if(any(lessThan(position, clipBounds[0]))   ||\\n     any(greaterThan(position, clipBounds[1])) ) {\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\",l=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if(any(lessThan(dataCoordinate, fragClipBounds[0]))   ||\\n     any(greaterThan(dataCoordinate, fragClipBounds[1])) ) {\\n    discard;\\n  } else {\\n    gl_FragColor = interpColor * opacity;\\n  }\\n}\\n\",u=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if(any(lessThan(dataCoordinate, fragClipBounds[0]))   || \\n     any(greaterThan(dataCoordinate, fragClipBounds[1])) ) {\\n    discard;\\n  } else {\\n    gl_FragColor = vec4(pickGroup, pickId.bgr);\\n  }\\n}\",c=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],h={vertex:a,fragment:l,attributes:c},f={vertex:o,fragment:l,attributes:c},d={vertex:s,fragment:l,attributes:c},p={vertex:a,fragment:u,attributes:c},m={vertex:o,fragment:u,attributes:c},g={vertex:s,fragment:u,attributes:c};r.createPerspective=function(t){return n(t,h)},r.createOrtho=function(t){return n(t,f)},r.createProject=function(t){return n(t,d)},r.createPickPerspective=function(t){return n(t,p)},r.createPickOrtho=function(t){return n(t,m)},r.createPickProject=function(t){return n(t,g)}},{\"gl-shader\":239}],235:[function(t,e,r){\"use strict\";function n(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function i(t,e,r,i){return n(i,i,r),n(i,i,e),n(i,i,t)}function a(t,e){this.index=t,this.dataCoordinate=this.position=e}function o(t,e,r,n,i,o,s,l,u,c,h,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=o,this.glyphBuffer=s,this.idBuffer=l,this.vao=u,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=h,this.pickProjectShader=f,this.points=[],this._selectResult=new a(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}function s(t){return t[0]=t[1]=t[2]=0,t}function l(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function u(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function c(t){for(var e=L,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}function h(t,e,r,n,a){var o,h=e.axesProject,f=e.gl,d=t.uniforms,p=r.model||x,m=r.view||x,g=r.projection||x,y=e.axesBounds,b=c(e.clipBounds);o=e.axes?e.axes.lastCubeProps.axis:[1,1,1],w[0]=2/f.drawingBufferWidth,w[1]=2/f.drawingBufferHeight,t.bind(),d.view=m,d.projection=g,d.screenSize=w,d.highlightId=e.highlightId,d.highlightScale=e.highlightScale,d.clipBounds=b,d.pickGroup=e.pickId/255,d.pixelRatio=e.pixelRatio;for(var _=0;_<3;++_)if(h[_]&&e.projectOpacity[_]<1===n){d.scale=e.projectScale[_],d.opacity=e.projectOpacity[_];for(var L=S,C=0;C<16;++C)L[C]=0;for(var C=0;C<4;++C)L[5*C]=1;L[5*_]=0,o[_]<0?L[12+_]=y[0][_]:L[12+_]=y[1][_],v(L,p,L),d.model=L;var z=(_+1)%3,D=(_+2)%3,I=s(M),P=s(k);I[z]=1,P[D]=1;var O=i(g,m,p,l(A,I)),j=i(g,m,p,l(T,P));if(Math.abs(O[1])>Math.abs(j[1])){var R=O;O=j,j=R,R=I,I=P,P=R;var F=z;z=D,D=F}O[0]<0&&(I[z]=-1),j[1]>0&&(P[D]=-1);for(var N=0,B=0,C=0;C<4;++C)N+=Math.pow(p[4*z+C],2),B+=Math.pow(p[4*D+C],2);I[z]/=Math.sqrt(N),P[D]/=Math.sqrt(B),d.axes[0]=I,d.axes[1]=P,d.fragClipBounds[0]=u(E,b[0],_,-1e8),d.fragClipBounds[1]=u(E,b[1],_,1e8),e.vao.draw(f.TRIANGLES,e.vertexCount),e.lineWidth>0&&(f.lineWidth(e.lineWidth),e.vao.draw(f.LINES,e.lineVertexCount,e.vertexCount))}}function f(t,e,r,n,i,a){var o=r.gl;if(r.vao.bind(),i===r.opacity<1||a){t.bind();var s=t.uniforms;s.model=n.model||x,s.view=n.view||x,s.projection=n.projection||x,w[0]=2/o.drawingBufferWidth,w[1]=2/o.drawingBufferHeight,s.screenSize=w,s.highlightId=r.highlightId,s.highlightScale=r.highlightScale,s.fragClipBounds=D,s.clipBounds=r.axes.bounds,s.opacity=r.opacity,s.pickGroup=r.pickId/255,s.pixelRatio=r.pixelRatio,r.vao.draw(o.TRIANGLES,r.vertexCount),r.lineWidth>0&&(o.lineWidth(r.lineWidth),r.vao.draw(o.LINES,r.lineVertexCount,r.vertexCount))}h(e,r,n,i,a),r.vao.unbind()}function d(t){var e=t.gl,r=y.createPerspective(e),n=y.createOrtho(e),i=y.createProject(e),a=y.createPickPerspective(e),s=y.createPickOrtho(e),l=y.createPickProject(e),u=p(e),c=p(e),h=p(e),f=p(e),d=m(e,[{buffer:u,size:3,type:e.FLOAT},{buffer:c,size:4,type:e.FLOAT},{buffer:h,size:2,type:e.FLOAT},{buffer:f,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),g=new o(e,r,n,i,u,c,h,f,d,a,s,l);return g.update(t),g}var p=t(\"gl-buffer\"),m=t(\"gl-vao\"),g=t(\"typedarray-pool\"),v=t(\"gl-mat4/multiply\"),y=t(\"./lib/shaders\"),b=t(\"./lib/glyphs\"),x=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];e.exports=d;var _=o.prototype;_.pickSlots=1,_.setPickBase=function(t){this.pickId=t},_.isTransparent=function(){if(this.opacity<1)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectOpacity[t]<1)return!0;return!1},_.isOpaque=function(){if(this.opacity>=1)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectOpacity[t]>=1)return!0;return!1};var w=[0,0],M=[0,0,0],k=[0,0,0],A=[0,0,0,1],T=[0,0,0,1],S=x.slice(),E=[0,0,0],L=[[0,0,0],[0,0,0]],C=[-1e8,-1e8,-1e8],z=[1e8,1e8,1e8],D=[C,z];_.draw=function(t){f(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,!1,!1)},_.drawTransparent=function(t){f(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,!0,!1)},_.drawPick=function(t){f(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,!1,!0)},_.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},_.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},_.update=function(t){if(t=t||{},\"perspective\"in t&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(\"projectOpacity\"in t)if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{var r=+t.projectOpacity;this.projectOpacity=[r,r,r]}\"opacity\"in t&&(this.opacity=t.opacity),this.dirty=!0;var n=t.position;if(n){var i=t.font||\"normal\",a=t.alignment||[0,0],o=[1/0,1/0,1/0],s=[-1/0,-1/0,-1/0],l=t.glyph,u=t.color,c=t.size,h=t.angle,f=t.lineColor,d=0,p=0,m=0,v=n.length;t:for(var y=0;y<v;++y){for(var x=n[y],_=0;_<3;++_)if(isNaN(x[_])||!isFinite(x[_]))continue t;var w;w=Array.isArray(l)?b(l[y],i):l?b(l,i):b(\"\\u25cf\",i);var M=w[0],k=w[1],A=w[2];p+=3*M.cells.length,m+=2*k.edges.length}var T=p+m,S=g.mallocFloat(3*T),E=g.mallocFloat(4*T),L=g.mallocFloat(2*T),C=g.mallocUint32(T),z=[0,a[1]],D=0,I=p,P=[0,0,0,1],O=[0,0,0,1],j=Array.isArray(u)&&Array.isArray(u[0]),R=Array.isArray(f)&&Array.isArray(f[0]);t:for(var y=0;y<v;++y){for(var x=n[y],_=0;_<3;++_){if(isNaN(x[_])||!isFinite(x[_])){d+=1;continue t}s[_]=Math.max(s[_],x[_]),o[_]=Math.min(o[_],x[_])}var w;w=Array.isArray(l)?b(l[y],i):l?b(l,i):b(\"\\u25cf\",i);var M=w[0],k=w[1],A=w[2];if(Array.isArray(u)){var F;if(F=j?u[y]:u,3===F.length){for(var _=0;_<3;++_)P[_]=F[_];P[3]=1}else if(4===F.length)for(var _=0;_<4;++_)P[_]=F[_]}else P[0]=P[1]=P[2]=0,P[3]=1;if(Array.isArray(f)){var F;if(F=R?f[y]:f,3===F.length){for(var _=0;_<3;++_)O[_]=F[_];O[_]=1}else if(4===F.length)for(var _=0;_<4;++_)O[_]=F[_]}else O[0]=O[1]=O[2]=0,O[3]=1;var N=.5;Array.isArray(c)?N=+c[y]:c?N=+c:this.useOrtho&&(N=12);var B=0;Array.isArray(h)?B=+h[y]:h&&(B=+h);for(var U=Math.cos(B),V=Math.sin(B),x=n[y],_=0;_<3;++_)s[_]=Math.max(s[_],x[_]),o[_]=Math.min(o[_],x[_]);a[0]<0?z[0]=a[0]*(1+A[1][0]):a[0]>0&&(z[0]=-a[0]*(1+A[0][0]));for(var H=M.cells,q=M.positions,_=0;_<H.length;++_)for(var G=H[_],Y=0;Y<3;++Y){for(var W=0;W<3;++W)S[3*D+W]=x[W];for(var W=0;W<4;++W)E[4*D+W]=P[W];C[D]=d;var X=q[G[Y]];L[2*D]=N*(U*X[0]-V*X[1]+z[0]),L[2*D+1]=N*(V*X[0]+U*X[1]+z[1]),D+=1}for(var H=k.edges,q=k.positions,_=0;_<H.length;++_)for(var G=H[_],Y=0;Y<2;++Y){for(var W=0;W<3;++W)S[3*I+W]=x[W];for(var W=0;W<4;++W)E[4*I+W]=O[W];C[I]=d;var X=q[G[Y]];L[2*I]=N*(U*X[0]-V*X[1]+z[0]),L[2*I+1]=N*(V*X[0]+U*X[1]+z[1]),I+=1}d+=1}this.vertexCount=p,this.lineVertexCount=m,this.pointBuffer.update(S),this.colorBuffer.update(E),this.glyphBuffer.update(L),this.idBuffer.update(new Uint32Array(C)),g.free(S),g.free(E),g.free(L),g.free(C),this.bounds=[o,s],this.points=n,this.pointCount=n.length}},_.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},{\"./lib/glyphs\":233,\"./lib/shaders\":234,\"gl-buffer\":141,\"gl-mat4/multiply\":167,\"gl-vao\":255,\"typedarray-pool\":521}],236:[function(t,e,r){\"use strict\";r.boxVertex=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid main() {\\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\\n}\\n\",r.boxFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = color;\\n}\\n\"},{}],237:[function(t,e,r){\"use strict\";function n(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}function i(t,e){var r=t.gl,i=o(r,[0,0,0,1,1,0,1,1]),l=a(r,s.boxVertex,s.boxFragment),u=new n(t,i,l);return u.update(e),t.addOverlay(u),u}var a=t(\"gl-shader\"),o=t(\"gl-buffer\"),s=t(\"./lib/shaders\");e.exports=i;var l=n.prototype;l.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,u=t.viewBox,c=t.pixelRatio,h=(e[0]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],f=(e[1]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1],d=(e[2]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],p=(e[3]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1];if(h=Math.max(h,u[0]),f=Math.max(f,u[1]),d=Math.min(d,u[2]),p=Math.min(p,u[3]),!(d<h||p<f)){o.bind();var m=s[2]-s[0],g=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,m,f,i),o.drawBox(0,f,h,p,i),o.drawBox(0,p,m,g,i),o.drawBox(d,f,m,p,i)),this.innerFill&&o.drawBox(h,f,d,p,n),r>0){var v=r*c;o.drawBox(h-v,f-v,d+v,f+v,a),o.drawBox(h-v,p-v,d+v,p+v,a),o.drawBox(h-v,f-v,h+v,p+v,a),o.drawBox(d-v,f-v,d+v,p+v,a)}}}},l.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},l.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{\"./lib/shaders\":236,\"gl-buffer\":141,\"gl-shader\":239}],238:[function(t,e,r){\"use strict\";function n(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function i(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}function a(t,e){return new i(t,o(t,e),s.mallocUint8(e[0]*e[1]*4))}e.exports=a;var o=t(\"gl-fbo\"),s=t(\"typedarray-pool\"),l=t(\"ndarray\"),u=t(\"bit-twiddle\").nextPow2,c=t(\"cwise/lib/wrapper\")({args:[\"array\",{offset:[0,0,1],array:0},{offset:[0,0,2],array:0},{offset:[0,0,3],array:0},\"scalar\",\"scalar\",\"index\"],pre:{body:\"{this_closestD2=1e8,this_closestX=-1,this_closestY=-1}\",args:[],thisVars:[\"this_closestD2\",\"this_closestX\",\"this_closestY\"],localVars:[]},body:{body:\"{if(_inline_46_arg0_<255||_inline_46_arg1_<255||_inline_46_arg2_<255||_inline_46_arg3_<255){var _inline_46_l=_inline_46_arg4_-_inline_46_arg6_[0],_inline_46_a=_inline_46_arg5_-_inline_46_arg6_[1],_inline_46_f=_inline_46_l*_inline_46_l+_inline_46_a*_inline_46_a;_inline_46_f<this_closestD2&&(this_closestD2=_inline_46_f,this_closestX=_inline_46_arg6_[0],this_closestY=_inline_46_arg6_[1])}}\",args:[{name:\"_inline_46_arg0_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_46_arg1_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_46_arg2_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_46_arg3_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_46_arg4_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_46_arg5_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_46_arg6_\",lvalue:!1,rvalue:!0,count:4}],thisVars:[\"this_closestD2\",\"this_closestX\",\"this_closestY\"],localVars:[\"_inline_46_a\",\"_inline_46_f\",\"_inline_46_l\"]},post:{body:\"{return[this_closestX,this_closestY,this_closestD2]}\",args:[],thisVars:[\"this_closestD2\",\"this_closestX\",\"this_closestY\"],localVars:[]},debug:!1,funcName:\"cwise\",blockSize:64}),h=i.prototype;Object.defineProperty(h,\"shape\",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){s.free(this.buffer);for(var n=this.buffer=s.mallocUint8(u(r*e*4)),i=0;i<r*e*4;++i)n[i]=255}return t}}}),h.begin=function(){var t=this.gl;this.shape;t&&(this.fbo.bind(),t.clearColor(1,1,1,1),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT))},h.end=function(){var t=this.gl;t&&(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},h.query=function(t,e,r){if(!this.gl)return null;var i=this.fbo.shape.slice();t|=0,e|=0,\"number\"!=typeof r&&(r=1);var a=0|Math.min(Math.max(t-r,0),i[0]),o=0|Math.min(Math.max(t+r,0),i[0]),s=0|Math.min(Math.max(e-r,0),i[1]),u=0|Math.min(Math.max(e+r,0),i[1]);if(o<=a||u<=s)return null;var h=[o-a,u-s],f=l(this.buffer,[h[0],h[1],4],[4,4*i[0],1],4*(a+i[0]*s)),d=c(f.hi(h[0],h[1],1),r,r),p=d[0],m=d[1];return p<0||Math.pow(this.radius,2)<d[2]?null:new n(p+a|0,m+s|0,f.get(p,m,0),[f.get(p,m,1),f.get(p,m,2),f.get(p,m,3)],Math.sqrt(d[2]))},h.dispose=function(){this.gl&&(this.fbo.dispose(),s.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))}},{\"bit-twiddle\":60,\"cwise/lib/wrapper\":106,\"gl-fbo\":148,ndarray:449,\"typedarray-pool\":521}],239:[function(t,e,r){\"use strict\";function n(t){this.gl=t,this._vref=this._fref=this._relink=this.vertShader=this.fragShader=this.program=this.attributes=this.uniforms=this.types=null}function i(t,e){return t.name<e.name?-1:1}function a(t,e,r,i,a){var o=new n(t);return o.update(e,r,i,a),o}var o=t(\"./lib/create-uniforms\"),s=t(\"./lib/create-attributes\"),l=t(\"./lib/reflect\"),u=t(\"./lib/shader-cache\"),c=t(\"./lib/runtime-reflect\"),h=t(\"./lib/GLError\"),f=n.prototype;f.bind=function(){this.program||this._relink(),this.gl.useProgram(this.program)},f.dispose=function(){this._fref&&this._fref.dispose(),this._vref&&this._vref.dispose(),this.attributes=this.types=this.vertShader=this.fragShader=this.program=this._relink=this._fref=this._vref=null},f.update=function(t,e,r,n){function a(){d.program=u.program(p,d._vref,d._fref,x,_);for(var t=0;t<r.length;++t)E[t]=p.getUniformLocation(d.program,r[t].name)}if(!e||1===arguments.length){var f=t;t=f.vertex,e=f.fragment,r=f.uniforms,n=f.attributes}var d=this,p=d.gl,m=d._vref;d._vref=u.shader(p,p.VERTEX_SHADER,t),m&&m.dispose(),d.vertShader=d._vref.shader;var g=this._fref;if(d._fref=u.shader(p,p.FRAGMENT_SHADER,e),g&&g.dispose(),d.fragShader=d._fref.shader,!r||!n){var v=p.createProgram();if(p.attachShader(v,d.fragShader),p.attachShader(v,d.vertShader),p.linkProgram(v),!p.getProgramParameter(v,p.LINK_STATUS)){var y=p.getProgramInfoLog(v);throw new h(y,\"Error linking program:\"+y)}r=r||c.uniforms(p,v),n=n||c.attributes(p,v),p.deleteProgram(v)}n=n.slice(),n.sort(i);for(var b=[],x=[],_=[],w=0;w<n.length;++w){var M=n[w];if(M.type.indexOf(\"mat\")>=0){for(var k=0|M.type.charAt(M.type.length-1),A=new Array(k),T=0;T<k;++T)A[T]=_.length,x.push(M.name+\"[\"+T+\"]\"),\"number\"==typeof M.location?_.push(M.location+T):Array.isArray(M.location)&&M.location.length===k&&\"number\"==typeof M.location[T]?_.push(0|M.location[T]):_.push(-1);b.push({name:M.name,type:M.type,locations:A})}else b.push({name:M.name,type:M.type,locations:[_.length]}),x.push(M.name),\"number\"==typeof M.location?_.push(0|M.location):_.push(-1)}for(var S=0,w=0;w<_.length;++w)if(_[w]<0){for(;_.indexOf(S)>=0;)S+=1;_[w]=S}var E=new Array(r.length);a(),d._relink=a,d.types={uniforms:l(r),attributes:l(n)},d.attributes=s(p,d,b,_),Object.defineProperty(d,\"uniforms\",o(p,d,r,E))},e.exports=a},{\"./lib/GLError\":240,\"./lib/create-attributes\":241,\"./lib/create-uniforms\":242,\"./lib/reflect\":243,\"./lib/runtime-reflect\":244,\"./lib/shader-cache\":245}],240:[function(t,e,r){arguments[4][197][0].apply(r,arguments)},{dup:197}],241:[function(t,e,r){arguments[4][198][0].apply(r,arguments)},{\"./GLError\":240,dup:198}],242:[function(t,e,r){arguments[4][199][0].apply(r,arguments)},{\"./GLError\":240,\"./reflect\":243,dup:199}],243:[function(t,e,r){arguments[4][200][0].apply(r,arguments)},{dup:200}],244:[function(t,e,r){arguments[4][201][0].apply(r,arguments)},{dup:201}],245:[function(t,e,r){arguments[4][202][0].apply(r,arguments)},{\"./GLError\":240,dup:202,\"gl-format-compiler-error\":149,\"weakmap-shim\":542}],246:[function(t,e,r){\"use strict\";function n(t){this.plot=t,this.enable=[!0,!0,!1,!1],this.width=[1,1,1,1],this.color=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.center=[1/0,1/0]}function i(t,e){var r=new n(t);return r.update(e),t.addOverlay(r),r}e.exports=i;var a=n.prototype;a.update=function(t){t=t||{},this.enable=(t.enable||[!0,!0,!1,!1]).slice(),this.width=(t.width||[1,1,1,1]).slice(),this.color=(t.color||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]).map(function(t){return t.slice()}),this.center=(t.center||[1/0,1/0]).slice(),this.plot.setOverlayDirty()},a.draw=function(){var t=this.enable,e=this.width,r=this.color,n=this.center,i=this.plot,a=i.line,o=i.dataBox,s=i.viewBox;if(a.bind(),o[0]<=n[0]&&n[0]<=o[2]&&o[1]<=n[1]&&n[1]<=o[3]){var l=s[0]+(n[0]-o[0])/(o[2]-o[0])*(s[2]-s[0]),u=s[1]+(n[1]-o[1])/(o[3]-o[1])*(s[3]-s[1]);t[0]&&a.drawLine(l,u,s[0],u,e[0],r[0]),t[1]&&a.drawLine(l,u,l,s[1],e[1],r[1]),t[2]&&a.drawLine(l,u,s[2],u,e[2],r[2]),t[3]&&a.drawLine(l,u,l,s[3],e[3],r[3])}},a.dispose=function(){this.plot.removeOverlay(this)}},{}],247:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\");e.exports=function(t){\n",
       "return n(t,\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, color;\\nattribute float weight;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 coordinates[3];\\nuniform vec4 colors[3];\\nuniform vec2 screenShape;\\nuniform float lineWidth;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vertexPosition = mix(coordinates[0],\\n    mix(coordinates[2], coordinates[1], 0.5 * (position + 1.0)), abs(position));\\n\\n  vec4 clipPos = projection * view * model * vec4(vertexPosition, 1.0);\\n  vec2 clipOffset = (projection * view * model * vec4(color, 0.0)).xy;\\n  vec2 delta = weight * clipOffset * screenShape;\\n  vec2 lineOffset = normalize(vec2(delta.y, -delta.x)) / screenShape;\\n\\n  gl_Position   = vec4(clipPos.xy + clipPos.w * 0.5 * lineWidth * lineOffset, clipPos.z, clipPos.w);\\n  fragColor     = color.x * colors[0] + color.y * colors[1] + color.z * colors[2];\\n}\\n\",\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  gl_FragColor = fragColor;\\n}\",null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec3\"},{name:\"weight\",type:\"float\"}])}},{\"gl-shader\":239}],248:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n,this.pixelRatio=1,this.bounds=[[-1e3,-1e3,-1e3],[1e3,1e3,1e3]],this.position=[0,0,0],this.lineWidth=[2,2,2],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.enabled=[!0,!0,!0],this.drawSides=[!0,!0,!0],this.axes=null}function i(t,e){function r(t,e,r,n,a,o){var s=[t,e,r,0,0,0,1];s[n+3]=1,s[n]=a,i.push.apply(i,s),s[6]=-1,i.push.apply(i,s),s[n]=o,i.push.apply(i,s),i.push.apply(i,s),s[6]=1,i.push.apply(i,s),s[n]=a,i.push.apply(i,s)}var i=[];r(0,0,0,0,0,1),r(0,0,0,1,0,1),r(0,0,0,2,0,1),r(1,0,0,1,-1,1),r(1,0,0,2,-1,1),r(0,1,0,0,-1,1),r(0,1,0,2,-1,1),r(0,0,1,0,-1,1),r(0,0,1,1,-1,1);var l=a(t,i),u=o(t,[{type:t.FLOAT,buffer:l,size:3,offset:0,stride:28},{type:t.FLOAT,buffer:l,size:3,offset:12,stride:28},{type:t.FLOAT,buffer:l,size:1,offset:24,stride:28}]),c=s(t);c.attributes.position.location=0,c.attributes.color.location=1,c.attributes.weight.location=2;var h=new n(t,l,u,c);return h.update(e),h}var a=t(\"gl-buffer\"),o=t(\"gl-vao\"),s=t(\"./shaders/index\");e.exports=i;var l=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],u=n.prototype,c=[0,0,0],h=[0,0,0],f=[0,0];u.isTransparent=function(){return!1},u.drawTransparent=function(t){},u.draw=function(t){var e=this.gl,r=this.vao,n=this.shader;r.bind(),n.bind();var i,a=t.model||l,o=t.view||l,s=t.projection||l;this.axes&&(i=this.axes.lastCubeProps.axis);for(var u=c,d=h,p=0;p<3;++p)i&&i[p]<0?(u[p]=this.bounds[0][p],d[p]=this.bounds[1][p]):(u[p]=this.bounds[1][p],d[p]=this.bounds[0][p]);f[0]=e.drawingBufferWidth,f[1]=e.drawingBufferHeight,n.uniforms.model=a,n.uniforms.view=o,n.uniforms.projection=s,n.uniforms.coordinates=[this.position,u,d],n.uniforms.colors=this.colors,n.uniforms.screenShape=f;for(var p=0;p<3;++p)n.uniforms.lineWidth=this.lineWidth[p]*this.pixelRatio,this.enabled[p]&&(r.draw(e.TRIANGLES,6,6*p),this.drawSides[p]&&r.draw(e.TRIANGLES,12,18+12*p));r.unbind()},u.update=function(t){t&&(\"bounds\"in t&&(this.bounds=t.bounds),\"position\"in t&&(this.position=t.position),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"colors\"in t&&(this.colors=t.colors),\"enabled\"in t&&(this.enabled=t.enabled),\"drawSides\"in t&&(this.drawSides=t.drawSides))},u.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders/index\":247,\"gl-buffer\":141,\"gl-vao\":255}],249:[function(t,e,r){var n=t(\"gl-shader\"),i=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  worldCoordinate = vec3(uv.zw, f.x);\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n  vec4 clipPosition = projection * view * worldPosition;\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\",a=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution_2_0(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\n\\n\\nfloat beckmannSpecular_1_1(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution_2_0(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\n\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (kill > 0.0 ||\\n    any(lessThan(worldCoordinate, clipBounds[0])) || any(greaterThan(worldCoordinate, clipBounds[1]))) {\\n    discard;\\n  }\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = beckmannSpecular_1_1(L, V, N, roughness);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color \\u2014 in vertex or in fragment\\n  vec4 surfaceColor = step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) + step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\",o=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  vec4 worldPosition = model * vec4(dataCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z = clipPosition.z + zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f;\\n  kill = -1.0;\\n  worldCoordinate = dataCoordinate;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\",s=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if(kill > 0.0 ||\\n    any(lessThan(worldCoordinate, clipBounds[0])) || any(greaterThan(worldCoordinate, clipBounds[1]))) {\\n    discard;\\n  }\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\";r.createShader=function(t){var e=n(t,i,a,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,i,s,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,o,a,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,o,s,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{\"gl-shader\":239}],250:[function(t,e,r){\"use strict\";function n(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}function i(t){var e=x([y({colormap:t,nshades:j,format:\"rgba\"}).map(function(t){return[t[0],t[1],t[2],255*t[3]]})]);return b.divseq(e,255),e}function a(t,e,r,i,a,o,s,l,u,c,h,f,d,p){this.gl=t,this.shape=e,this.bounds=r,this.intensityBounds=[],this._shader=i,this._pickShader=a,this._coordinateBuffer=o,this._vao=s,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=f,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new n([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=p,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[0/0,0/0,0/0],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[_(v.mallocFloat(1024),[0,0]),_(v.mallocFloat(1024),[0,0]),_(v.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}function o(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||F,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=N.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],M(l,t.model,l);var u=N.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return N.showSurface=o,N.showContour=s,N}function s(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=B;n.model=t.model||I,n.view=t.view||I,n.projection=t.projection||I,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.contourColor=this.contourColor[0],n.inverseModel=k(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],s=0;s<3;++s)a[s]=Math.min(Math.max(this.clipBounds[i][s],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=V,n.vertexColor=this.vertexColor;var l=U;for(M(l,n.view,n.model),M(l,n.projection,l),k(l,l),i=0;i<3;++i)n.eyePosition[i]=l[12+i]/l[15];var u=l[15];for(i=0;i<3;++i)u+=this.lightPosition[i]*l[4*i+3];for(i=0;i<3;++i){var c=l[12+i];for(s=0;s<3;++s)c+=l[4*s+i]*this.lightPosition[s];n.lightPosition[i]=c/u}var h=o(n,this);if(h.showSurface&&e===this.opacity<1){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=h.projections[i],this._shader.uniforms.clipBounds=h.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(h.showContour&&!e){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var d=this._contourVAO;for(d.bind(),i=0;i<3;++i)for(f.uniforms.permutation=O[i],r.lineWidth(this.contourWidth[i]),s=0;s<this.contourLevels[i].length;++s)this._contourCounts[i][s]&&(s===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==s&&s-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),f.uniforms.height=this.contourLevels[i][s],d.draw(r.LINES,this._contourCounts[i][s],this._contourOffsets[i][s]));for(i=0;i<3;++i)for(f.uniforms.model=h.projections[i],f.uniforms.clipBounds=h.clipBounds[i],s=0;s<3;++s)if(this.contourProject[i][s]){f.uniforms.permutation=O[s],r.lineWidth(this.contourWidth[s]);for(var p=0;p<this.contourLevels[s].length;++p)p===this.highlightLevel[s]?(f.uniforms.contourColor=this.highlightColor[s],f.uniforms.contourTint=this.highlightTint[s]):0!==p&&p-1!==this.highlightLevel[s]||(f.uniforms.contourColor=this.contourColor[s],f.uniforms.contourTint=this.contourTint[s]),f.uniforms.height=this.contourLevels[s][p],d.draw(r.LINES,this._contourCounts[s][p],this._contourOffsets[s][p])}for(d=this._dynamicVAO,d.bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=O[i],r.lineWidth(this.dynamicWidth[i]),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],d.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),s=0;s<3;++s)this.contourProject[s][i]&&(f.uniforms.model=h.projections[s],f.uniforms.clipBounds=h.clipBounds[s],d.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));d.unbind()}}function l(t,e){var r=e.shape.slice(),n=t.shape.slice();b.assign(t.lo(1,1).hi(r[0],r[1]),e),b.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),b.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),b.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),b.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))}function u(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function c(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function h(t){if(Array.isArray(t)){if(Array.isArray(t))return[c(t[0]),c(t[1]),c(t[2])];var e=c(t);return[e.slice(),e.slice(),e.slice()]}}function f(t){var e=t.gl,r=E(e),n=C(e),i=L(e),o=z(e),s=p(e),l=m(e,[{buffer:s,size:4,stride:D,offset:0},{buffer:s,size:3,stride:D,offset:16},{buffer:s,size:3,stride:D,offset:28}]),u=p(e),c=m(e,[{buffer:u,size:4,stride:20,offset:0},{buffer:u,size:1,stride:20,offset:16}]),h=p(e),f=m(e,[{buffer:h,size:2,type:e.FLOAT}]),d=g(e,1,j,e.RGBA,e.UNSIGNED_BYTE);d.minFilter=e.LINEAR,d.magFilter=e.LINEAR;var v=new a(e,[0,0],[[0,0,0],[0,0,0]],r,n,s,l,d,i,o,u,c,h,f),y={levels:[[],[],[]]};for(var b in t)y[b]=t[b];return y.colormap=y.colormap||\"jet\",v.update(y),v}e.exports=f;var d=t(\"bit-twiddle\"),p=t(\"gl-buffer\"),m=t(\"gl-vao\"),g=t(\"gl-texture2d\"),v=t(\"typedarray-pool\"),y=t(\"colormap\"),b=t(\"ndarray-ops\"),x=t(\"ndarray-pack\"),_=t(\"ndarray\"),w=t(\"surface-nets\"),M=t(\"gl-mat4/multiply\"),k=t(\"gl-mat4/invert\"),A=t(\"binary-search-bounds\"),T=t(\"ndarray-gradient\"),S=t(\"./lib/shaders\"),E=S.createShader,L=S.createContourShader,C=S.createPickShader,z=S.createPickContourShader,D=40,I=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],P=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],O=[[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]];!function(){for(var t=0;t<3;++t){var e=O[t],r=(t+1)%3,n=(t+2)%3;e[r+0]=1,e[n+3]=1,e[t+6]=1}}();var j=256,R=a.prototype;R.isTransparent=function(){return this.opacity<1},R.isOpaque=function(){if(this.opacity>=1)return!0;for(var t=0;t<3;++t)if(this._contourCounts[t].length>0||this._dynamicCounts[t]>0)return!0;return!1},R.pickSlots=1,R.setPickBase=function(t){this.pickId=t};var F=[0,0,0],N={showSurface:!1,showContour:!1,projections:[I.slice(),I.slice(),I.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]},B={model:I,view:I,projection:I,inverseModel:I.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},U=I.slice(),V=[1,0,0,0,1,0,0,0,1];R.draw=function(t){return s.call(this,t,!1)},R.drawTransparent=function(t){return s.call(this,t,!0)};var H={model:I,view:I,projection:I,inverseModel:I,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};R.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=H;r.model=t.model||I,r.view=t.view||I,r.projection=t.projection||I,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.permutation=V;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var s=o(r,this);if(s.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=s.projections[n],this._pickShader.uniforms.clipBounds=s.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(s.showContour){var l=this._contourPickShader;l.bind(),l.uniforms=r;var u=this._contourVAO;for(u.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]),l.uniforms.permutation=O[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(l.uniforms.height=this.contourLevels[a][n],u.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(l.uniforms.model=s.projections[n],l.uniforms.clipBounds=s.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){l.uniforms.permutation=O[a],e.lineWidth(this.contourWidth[a]);for(var c=0;c<this.contourLevels[a].length;++c)this._contourCounts[a][c]&&(l.uniforms.height=this.contourLevels[a][c],u.draw(e.LINES,this._contourCounts[a][c],this._contourOffsets[a][c]))}u.unbind()}},R.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var u=r.position;u[0]=u[1]=u[2]=0;for(var c=0;c<2;++c)for(var h=c?a:1-a,f=0;f<2;++f)for(var d=f?l:1-l,p=i+c,m=s+f,g=h*d,v=0;v<3;++v)u[v]+=this._field[v].get(p,m)*g;for(var y=this._pickResult.level,b=0;b<3;++b)if(y[b]=A.le(this.contourLevels[b],u[b]),y[b]<0)this.contourLevels[b].length>0&&(y[b]=0);else if(y[b]<this.contourLevels[b].length-1){var x=this.contourLevels[b][y[b]],_=this.contourLevels[b][y[b]+1];Math.abs(x-u[b])>Math.abs(_-u[b])&&(y[b]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],v=0;v<3;++v)r.dataCoordinate[v]=this._field[v].get(r.index[0],r.index[1]);return r},R.update=function(t){t=t||{},this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=u(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=u(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=u(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=h(t.contourColor)),\"contourProject\"in t&&(this.contourProject=u(t.contourProject,function(t){return u(t,Boolean)})),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=h(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=u(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=u(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0);var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var n=(e.shape[0]+2)*(e.shape[1]+2);n>this._field[2].data.length&&(v.freeFloat(this._field[2].data),this._field[2].data=v.mallocFloat(d.nextPow2(n))),this._field[2]=_(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),l(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(v.freeFloat(this._field[o].data),this._field[o].data=v.mallocFloat(this._field[2].size)),this._field[o]=_(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var s=t.coords;if(!Array.isArray(s)||3!==s.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var c=s[o];for(y=0;y<2;++y)if(c.shape[y]!==a[y])throw new Error(\"gl-surface: coords have incorrect shape\");l(this._field[o],c)}}else if(t.ticks){var f=t.ticks;if(!Array.isArray(f)||2!==f.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=f[o];if((Array.isArray(p)||p.length)&&(p=_(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var m=_(p.data,a);m.stride[o]=p.stride[0],m.stride[1^o]=0,l(this._field[o],m)}}else{for(o=0;o<2;++o){var g=[0,0];g[o]=1,this._field[o]=_(this._field[o].data,[a[0]+2,a[1]+2],g,0)}this._field[0].set(0,0,0);for(var y=0;y<a[0];++y)this._field[0].set(y+1,0,y);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),y=0;y<a[1];++y)this._field[1].set(0,y+1,y);this._field[1].set(0,a[1]+1,a[1]-1)}var b=this._field,x=_(v.mallocFloat(3*b[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)T(x.pick(o),b[o],\"mirror\");var M=_(v.mallocFloat(3*b[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(y=0;y<a[1]+2;++y){var k=x.get(0,o,y,0),A=x.get(0,o,y,1),S=x.get(1,o,y,0),E=x.get(1,o,y,1),L=x.get(2,o,y,0),C=x.get(2,o,y,1),z=S*C-E*L,D=L*A-C*k,I=k*E-A*S,O=Math.sqrt(z*z+D*D+I*I);O<1e-8?(O=Math.max(Math.abs(z),Math.abs(D),Math.abs(I)),O<1e-8?(I=1,D=z=0,O=1):O=1/O):O=1/Math.sqrt(O),M.set(o,y,0,z*O),M.set(o,y,1,D*O),M.set(o,y,2,I*O)}v.free(x.data);var j=[1/0,1/0,1/0],R=[-1/0,-1/0,-1/0],F=1/0,N=-1/0,B=(a[0]-1)*(a[1]-1)*6,U=v.mallocFloat(d.nextPow2(10*B)),V=0,H=0;for(o=0;o<a[0]-1;++o)t:for(y=0;y<a[1]-1;++y){for(var q=0;q<2;++q)for(var G=0;G<2;++G)for(var Y=0;Y<3;++Y){var W=this._field[Y].get(1+o+q,1+y+G);if(isNaN(W)||!isFinite(W))continue t}for(Y=0;Y<6;++Y){var X=o+P[Y][0],Z=y+P[Y][1],J=this._field[0].get(X+1,Z+1),Q=this._field[1].get(X+1,Z+1);W=this._field[2].get(X+1,Z+1);var K=W;z=M.get(X+1,Z+1,0),D=M.get(X+1,Z+1,1),I=M.get(X+1,Z+1,2),t.intensity&&(K=t.intensity.get(X,Z)),U[V++]=X,U[V++]=Z,U[V++]=J,U[V++]=Q,U[V++]=W,U[V++]=0,U[V++]=K,U[V++]=z,U[V++]=D,U[V++]=I,j[0]=Math.min(j[0],J),j[1]=Math.min(j[1],Q),j[2]=Math.min(j[2],W),F=Math.min(F,K),R[0]=Math.max(R[0],J),R[1]=Math.max(R[1],Q),R[2]=Math.max(R[2],W),N=Math.max(N,K),H+=1}}for(t.intensityBounds&&(F=+t.intensityBounds[0],N=+t.intensityBounds[1]),o=6;o<V;o+=10)U[o]=(U[o]-F)/(N-F);this._vertexCount=H,this._coordinateBuffer.update(U.subarray(0,V)),v.freeFloat(U),v.free(M.data),this.bounds=[j,R],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===F&&this.intensityBounds[1]===N||(r=!0),this.intensityBounds=[F,N]}if(\"levels\"in t){var $=t.levels;for($=Array.isArray($[0])?$.slice():[[],[],$],o=0;o<3;++o)$[o]=$[o].slice(),$.sort(function(t,e){return t-e});t:for(o=0;o<3;++o){if($[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;y<$[o].length;++y)if($[o][y]!==this.contourLevels[o][y]){r=!0;break t}}this.contourLevels=$}if(r){b=this._field,a=this.shape;for(var tt=[],et=0;et<3;++et){$=this.contourLevels[et];var rt=[],nt=[],it=[0,0,0];for(o=0;o<$.length;++o){var at=w(this._field[et],$[o]);rt.push(tt.length/5|0),H=0;t:for(y=0;y<at.cells.length;++y){var ot=at.cells[y];for(Y=0;Y<2;++Y){var st=at.positions[ot[Y]],lt=st[0],ut=0|Math.floor(lt),ct=lt-ut,ht=st[1],ft=0|Math.floor(ht),dt=ht-ft,pt=!1;e:for(var mt=0;mt<3;++mt){it[mt]=0;var gt=(et+mt+1)%3;for(q=0;q<2;++q){var vt=q?ct:1-ct;for(X=0|Math.min(Math.max(ut+q,0),a[0]),G=0;G<2;++G){var yt=G?dt:1-dt;if(Z=0|Math.min(Math.max(ft+G,0),a[1]),W=mt<2?this._field[gt].get(X,Z):(this.intensity.get(X,Z)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(W)||isNaN(W)){pt=!0;break e}var bt=vt*yt;it[mt]+=bt*W}}}if(pt){if(Y>0){for(var xt=0;xt<5;++xt)tt.pop();H-=1}continue t}tt.push(it[0],it[1],st[0],st[1],it[2]),H+=1}}nt.push(H)}this._contourOffsets[et]=rt,this._contourCounts[et]=nt}var _t=v.mallocFloat(tt.length);for(o=0;o<tt.length;++o)_t[o]=tt[o];this._contourBuffer.update(_t),v.freeFloat(_t)}t.colormap&&this._colorMap.setPixels(i(t.colormap))},R.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)v.freeFloat(this._field[t].data)},R.highlight=function(t){if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[0/0,0/0,0/0],void(this.highlightLevel=[-1,-1,-1]);for(var e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;var r;if(r=this.snapToData?t.dataCoordinate:t.position,this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=v.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var s=(o+1)%3,l=(o+2)%3,u=this._field[o],c=this._field[s],h=this._field[l],f=(this.intensity,w(u,r[o])),d=f.cells,p=f.positions;for(this._dynamicOffsets[o]=n,e=0;e<d.length;++e)for(var m=d[e],g=0;g<2;++g){var y=p[m[g]],b=+y[0],x=0|b,_=0|Math.min(x+1,i[0]),M=b-x,k=1-M,A=+y[1],T=0|A,S=0|Math.min(T+1,i[1]),E=A-T,L=1-E,C=k*L,z=k*E,D=M*L,I=M*E,P=C*c.get(x,T)+z*c.get(x,S)+D*c.get(_,T)+I*c.get(_,S),O=C*h.get(x,T)+z*h.get(x,S)+D*h.get(_,T)+I*h.get(_,S);if(isNaN(P)||isNaN(O)){g&&(n-=1);break}a[2*n+0]=P,a[2*n+1]=O,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=0/0,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),v.freeFloat(a)}}},{\"./lib/shaders\":249,\"binary-search-bounds\":59,\"bit-twiddle\":60,colormap:92,\"gl-buffer\":141,\"gl-mat4/invert\":165,\"gl-mat4/multiply\":167,\"gl-texture2d\":251,\"gl-vao\":255,ndarray:449,\"ndarray-gradient\":440,\"ndarray-ops\":443,\"ndarray-pack\":444,\"surface-nets\":511,\"typedarray-pool\":521}],251:[function(t,e,r){\"use strict\";function n(t){v=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],y=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],b=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function i(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}function a(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function o(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}function s(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function l(t,e,r,n,i,a,o,l){var u=l.dtype,c=l.shape.slice();if(c.length<2||c.length>3)throw new Error(\"gl-texture2d: Invalid ndarray, must be 2d or 3d\");var h=0,f=0,d=s(c,l.stride.slice());\"float32\"===u?h=t.FLOAT:\"float64\"===u?(h=t.FLOAT,d=!1,u=\"float32\"):\"uint8\"===u?h=t.UNSIGNED_BYTE:(h=t.UNSIGNED_BYTE,d=!1,u=\"uint8\");if(2===c.length)f=t.LUMINANCE,c=[c[0],c[1],1],l=p(l.data,c,[l.stride[0],l.stride[1],1],l.offset);else{if(3!==c.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===c[2])f=t.ALPHA;else if(2===c[2])f=t.LUMINANCE_ALPHA;else if(3===c[2])f=t.RGB;else{if(4!==c[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");f=t.RGBA}c[2]}if(f!==t.LUMINANCE&&f!==t.ALPHA||i!==t.LUMINANCE&&i!==t.ALPHA||(f=i),f!==i)throw new Error(\"gl-texture2d: Incompatible texture format for setPixels\");var v=l.size,y=o.indexOf(n)<0;if(y&&o.push(n),h===a&&d)0===l.offset&&l.data.length===v?y?t.texImage2D(t.TEXTURE_2D,n,i,c[0],c[1],0,i,a,l.data):t.texSubImage2D(t.TEXTURE_2D,n,e,r,c[0],c[1],i,a,l.data):y?t.texImage2D(t.TEXTURE_2D,n,i,c[0],c[1],0,i,a,l.data.subarray(l.offset,l.offset+v)):t.texSubImage2D(t.TEXTURE_2D,n,e,r,c[0],c[1],i,a,l.data.subarray(l.offset,l.offset+v));else{var b;b=a===t.FLOAT?g.mallocFloat32(v):g.mallocUint8(v);var _=p(b,c,[c[2],c[2]*c[0],1]);h===t.FLOAT&&a===t.UNSIGNED_BYTE?x(_,l):m.assign(_,l),y?t.texImage2D(t.TEXTURE_2D,n,i,c[0],c[1],0,i,a,b.subarray(0,v)):t.texSubImage2D(t.TEXTURE_2D,n,e,r,c[0],c[1],i,a,b.subarray(0,v)),a===t.FLOAT?g.freeFloat32(b):g.freeUint8(b)}}function u(t){var e=t.createTexture();return 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n=t(\"./builtins\");n=n.slice().filter(function(t){return!/^(gl\\_|texture)/.test(t)}),e.exports=n.concat([\"gl_VertexID\",\"gl_InstanceID\",\"gl_Position\",\"gl_PointSize\",\"gl_FragCoord\",\"gl_FrontFacing\",\"gl_FragDepth\",\"gl_PointCoord\",\"gl_MaxVertexAttribs\",\"gl_MaxVertexUniformVectors\",\"gl_MaxVertexOutputVectors\",\"gl_MaxFragmentInputVectors\",\"gl_MaxVertexTextureImageUnits\",\"gl_MaxCombinedTextureImageUnits\",\"gl_MaxTextureImageUnits\",\"gl_MaxFragmentUniformVectors\",\"gl_MaxDrawBuffers\",\"gl_MinProgramTexelOffset\",\"gl_MaxProgramTexelOffset\",\"gl_DepthRangeParameters\",\"gl_DepthRange\",\"trunc\",\"round\",\"roundEven\",\"isnan\",\"isinf\",\"floatBitsToInt\",\"floatBitsToUint\",\"intBitsToFloat\",\"uintBitsToFloat\",\"packSnorm2x16\",\"unpackSnorm2x16\",\"packUnorm2x16\",\"unpackUnorm2x16\",\"packHalf2x16\",\"unpackHalf2x16\",\"outerProduct\",\"transpose\",\"determinant\",\"inverse\",\"texture\",\"textureSize\",\"textureProj\",\"textureLod\",\"textureOffset\",\"texelFetch\",\"texelFetchOffset\",\"textureProjOffset\",\"textureLodOffset\",\"textureProjLod\",\"textureProjLodOffset\",\"textureGrad\",\"textureGradOffset\",\"textureProjGrad\",\"textureProjGradOffset\"])},{\"./builtins\":266}],266:[function(t,e,r){e.exports=[\"abs\",\"acos\",\"all\",\"any\",\"asin\",\"atan\",\"ceil\",\"clamp\",\"cos\",\"cross\",\"dFdx\",\"dFdy\",\"degrees\",\"distance\",\"dot\",\"equal\",\"exp\",\"exp2\",\"faceforward\",\"floor\",\"fract\",\"gl_BackColor\",\"gl_BackLightModelProduct\",\"gl_BackLightProduct\",\"gl_BackMaterial\",\"gl_BackSecondaryColor\",\"gl_ClipPlane\",\"gl_ClipVertex\",\"gl_Color\",\"gl_DepthRange\",\"gl_DepthRangeParameters\",\"gl_EyePlaneQ\",\"gl_EyePlaneR\",\"gl_EyePlaneS\",\"gl_EyePlaneT\",\"gl_Fog\",\"gl_FogCoord\",\"gl_FogFragCoord\",\"gl_FogParameters\",\"gl_FragColor\",\"gl_FragCoord\",\"gl_FragData\",\"gl_FragDepth\",\"gl_FragDepthEXT\",\"gl_FrontColor\",\"gl_FrontFacing\",\"gl_FrontLightModelProduct\",\"gl_FrontLightProduct\",\"gl_FrontMaterial\",\"gl_FrontSecondaryColor\",\"gl_LightModel\",\"gl_LightModelParameters\",\"gl_LightModelProducts\",\"gl_LightProducts\",\"gl_LightSource\",\"gl_LightSourceParameters\",\"gl_MaterialParameters\",\"gl_MaxClipPlanes\",\"gl_MaxCombinedTextureImageUnits\",\"gl_MaxDrawBuffers\",\"gl_MaxFragmentUniformComponents\",\"gl_MaxLights\",\"gl_MaxTextureCoords\",\"gl_MaxTextureImageUnits\",\"gl_MaxTextureUnits\",\"gl_MaxVaryingFloats\",\"gl_MaxVertexAttribs\",\"gl_MaxVertexTextureImageUnits\",\"gl_MaxVertexUniformComponents\",\"gl_ModelViewMatrix\",\"gl_ModelViewMatrixInverse\",\"gl_ModelViewMatrixInverseTranspose\",\"gl_ModelViewMatrixTranspose\",\"gl_ModelViewProjectionMatrix\",\"gl_ModelViewProjectionMatrixInverse\",\"gl_ModelViewProjectionMatrixInverseTranspose\",\"gl_ModelViewProjectionMatrixTranspose\",\"gl_MultiTexCoord0\",\"gl_MultiTexCoord1\",\"gl_MultiTexCoord2\",\"gl_MultiTexCoord3\",\"gl_MultiTexCoord4\",\"gl_MultiTexCoord5\",\"gl_MultiTexCoord6\",\"gl_MultiTexCoord7\",\"gl_Normal\",\"gl_NormalMatrix\",\"gl_NormalScale\",\"gl_ObjectPlaneQ\",\"gl_ObjectPlaneR\",\"gl_ObjectPlaneS\",\"gl_ObjectPlaneT\",\"gl_Point\",\"gl_PointCoord\",\"gl_PointParameters\",\"gl_PointSize\",\"gl_Position\",\"gl_ProjectionMatrix\",\"gl_ProjectionMatrixInverse\",\"gl_ProjectionMatrixInverseTranspose\",\"gl_ProjectionMatrixTranspose\",\"gl_SecondaryColor\",\"gl_TexCoord\",\"gl_TextureEnvColor\",\"gl_TextureMatrix\",\"gl_TextureMatrixInverse\",\"gl_TextureMatrixInverseTranspose\",\"gl_TextureMatrixTranspose\",\"gl_Vertex\",\"greaterThan\",\"greaterThanEqual\",\"inversesqrt\",\"length\",\"lessThan\",\"lessThanEqual\",\"log\",\"log2\",\"matrixCompMult\",\"max\",\"min\",\"mix\",\"mod\",\"normalize\",\"not\",\"notEqual\",\"pow\",\"radians\",\"reflect\",\"refract\",\"sign\",\"sin\",\"smoothstep\",\"sqrt\",\"step\",\"tan\",\"texture2D\",\"texture2DLod\",\"texture2DProj\",\"texture2DProjLod\",\"textureCube\",\"textureCubeLod\",\"texture2DLodEXT\",\"texture2DProjLodEXT\",\"textureCubeLodEXT\",\"texture2DGradEXT\",\"texture2DProjGradEXT\",\"textureCubeGradEXT\"]},{}],267:[function(t,e,r){var n=t(\"./literals\");e.exports=n.slice().concat([\"layout\",\"centroid\",\"smooth\",\"case\",\"mat2x2\",\"mat2x3\",\"mat2x4\",\"mat3x2\",\"mat3x3\",\"mat3x4\",\"mat4x2\",\"mat4x3\",\"mat4x4\",\"uint\",\"uvec2\",\"uvec3\",\"uvec4\",\"samplerCubeShadow\",\"sampler2DArray\",\"sampler2DArrayShadow\",\"isampler2D\",\"isampler3D\",\"isamplerCube\",\"isampler2DArray\",\"usampler2D\",\"usampler3D\",\"usamplerCube\",\"usampler2DArray\",\"coherent\",\"restrict\",\"readonly\",\"writeonly\",\"resource\",\"atomic_uint\",\"noperspective\",\"patch\",\"sample\",\"subroutine\",\"common\",\"partition\",\"active\",\"filter\",\"image1D\",\"image2D\",\"image3D\",\"imageCube\",\"iimage1D\",\"iimage2D\",\"iimage3D\",\"iimageCube\",\"uimage1D\",\"uimage2D\",\"uimage3D\",\"uimageCube\",\"image1DArray\",\"image2DArray\",\"iimage1DArray\",\"iimage2DArray\",\"uimage1DArray\",\"uimage2DArray\",\"image1DShadow\",\"image2DShadow\",\"image1DArrayShadow\",\"image2DArrayShadow\",\"imageBuffer\",\"iimageBuffer\",\"uimageBuffer\",\"sampler1DArray\",\"sampler1DArrayShadow\",\"isampler1D\",\"isampler1DArray\",\"usampler1D\",\"usampler1DArray\",\"isampler2DRect\",\"usampler2DRect\",\"samplerBuffer\",\"isamplerBuffer\",\"usamplerBuffer\",\"sampler2DMS\",\"isampler2DMS\",\"usampler2DMS\",\"sampler2DMSArray\",\"isampler2DMSArray\",\"usampler2DMSArray\"])},{\"./literals\":268}],268:[function(t,e,r){e.exports=[\"precision\",\"highp\",\"mediump\",\"lowp\",\"attribute\",\"const\",\"uniform\",\"varying\",\"break\",\"continue\",\"do\",\"for\",\"while\",\"if\",\"else\",\"in\",\"out\",\"inout\",\"float\",\"int\",\"void\",\"bool\",\"true\",\"false\",\"discard\",\"return\",\"mat2\",\"mat3\",\"mat4\",\"vec2\",\"vec3\",\"vec4\",\"ivec2\",\"ivec3\",\"ivec4\",\"bvec2\",\"bvec3\",\"bvec4\",\"sampler1D\",\"sampler2D\",\"sampler3D\",\"samplerCube\",\"sampler1DShadow\",\"sampler2DShadow\",\"struct\",\"asm\",\"class\",\"union\",\"enum\",\"typedef\",\"template\",\"this\",\"packed\",\"goto\",\"switch\",\"default\",\"inline\",\"noinline\",\"volatile\",\"public\",\"static\",\"extern\",\"external\",\"interface\",\"long\",\"short\",\"double\",\"half\",\"fixed\",\"unsigned\",\"input\",\"output\",\"hvec2\",\"hvec3\",\"hvec4\",\"dvec2\",\"dvec3\",\"dvec4\",\"fvec2\",\"fvec3\",\"fvec4\",\"sampler2DRect\",\"sampler3DRect\",\"sampler2DRectShadow\",\"sizeof\",\"cast\",\"namespace\",\"using\"]},{}],269:[function(t,e,r){e.exports=[\"<<=\",\">>=\",\"++\",\"--\",\"<<\",\">>\",\"<=\",\">=\",\"==\",\"!=\",\"&&\",\"||\",\"+=\",\"-=\",\"*=\",\"/=\",\"%=\",\"&=\",\"^^\",\"^=\",\"|=\",\"(\",\")\",\"[\",\"]\",\".\",\"!\",\"~\",\"*\",\"/\",\"%\",\"+\",\"-\",\"<\",\">\",\"&\",\"^\",\"|\",\"?\",\":\",\"=\",\",\",\";\",\"{\",\"}\"]},{}],270:[function(t,e,r){function n(t,e){var r=i(e),n=[];return n=n.concat(r(t)),n=n.concat(r(null))}var i=t(\"./index\");e.exports=n},{\"./index\":264}],271:[function(t,e,r){\"use strict\";function n(t,e,r){var n=this.cells=[];if(t instanceof ArrayBuffer){this.arrayBuffer=t;var a=new Int32Array(this.arrayBuffer);t=a[0],e=a[1],r=a[2],this.d=e+2*r;for(var o=0;o<this.d*this.d;o++){var s=a[i+o],l=a[i+o+1];n.push(s===l?null:a.subarray(s,l))}var u=a[i+n.length],c=a[i+n.length+1];this.keys=a.subarray(u,c),this.bboxes=a.subarray(c),this.insert=this._insertReadonly}else{this.d=e+2*r;for(var h=0;h<this.d*this.d;h++)n.push([]);this.keys=[],this.bboxes=[]}this.n=e,this.extent=t,this.padding=r,this.scale=e/t,this.uid=0;var f=r/e*t;this.min=-f,this.max=t+f}e.exports=n;var i=3;n.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertCell,this.uid++),this.keys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},n.prototype._insertReadonly=function(){throw\"Cannot insert into a GridIndex created from an ArrayBuffer.\"},n.prototype._insertCell=function(t,e,r,n,i,a){this.cells[i].push(a)},n.prototype.query=function(t,e,r,n){var i=this.min,a=this.max;if(t<=i&&e<=i&&a<=r&&a<=n)return Array.prototype.slice.call(this.keys);var o=[],s={};return this._forEachCell(t,e,r,n,this._queryCell,o,s),o},n.prototype._queryCell=function(t,e,r,n,i,a,o){var s=this.cells[i];if(null!==s)for(var l=this.keys,u=this.bboxes,c=0;c<s.length;c++){var h=s[c];if(void 0===o[h]){var f=4*h;t<=u[f+2]&&e<=u[f+3]&&r>=u[f+0]&&n>=u[f+1]?(o[h]=!0,a.push(l[h])):o[h]=!1}}},n.prototype._forEachCell=function(t,e,r,n,i,a,o){for(var s=this._convertToCellCoord(t),l=this._convertToCellCoord(e),u=this._convertToCellCoord(r),c=this._convertToCellCoord(n),h=s;h<=u;h++)for(var f=l;f<=c;f++){var d=this.d*f+h;if(i.call(this,t,e,r,n,d,a,o))return}},n.prototype._convertToCellCoord=function(t){return Math.max(0,Math.min(this.d-1,Math.floor(t*this.scale)+this.padding))},n.prototype.toArrayBuffer=function(){if(this.arrayBuffer)return this.arrayBuffer;for(var t=this.cells,e=i+this.cells.length+1+1,r=0,n=0;n<this.cells.length;n++)r+=this.cells[n].length;var a=new Int32Array(e+r+this.keys.length+this.bboxes.length);a[0]=this.extent,a[1]=this.n,a[2]=this.padding;for(var o=e,s=0;s<t.length;s++){var l=t[s];a[i+s]=o,a.set(l,o),o+=l.length}return a[i+t.length]=o,a.set(this.keys,o),o+=this.keys.length,a[i+t.length+1]=o,a.set(this.bboxes,o),o+=this.bboxes.length,a.buffer}},{}],272:[function(t,e,r){r.read=function(t,e,r,n,i){var a,o,s=8*i-n-1,l=(1<<s)-1,u=l>>1,c=-7,h=r?i-1:0,f=r?-1:1,d=t[e+h];for(h+=f,a=d&(1<<-c)-1,d>>=-c,c+=s;c>0;a=256*a+t[e+h],h+=f,c-=8);for(o=a&(1<<-c)-1,a>>=-c,c+=n;c>0;o=256*o+t[e+h],h+=f,c-=8);if(0===a)a=1-u;else{if(a===l)return o?0/0:1/0*(d?-1:1);o+=Math.pow(2,n),a-=u}return(d?-1:1)*o*Math.pow(2,a-n)},r.write=function(t,e,r,n,i,a){var o,s,l,u=8*a-i-1,c=(1<<u)-1,h=c>>1,f=23===i?Math.pow(2,-24)-Math.pow(2,-77):0,d=n?0:a-1,p=n?1:-1,m=e<0||0===e&&1/e<0?1:0;for(e=Math.abs(e),isNaN(e)||1/0===e?(s=isNaN(e)?1:0,o=c):(o=Math.floor(Math.log(e)/Math.LN2),e*(l=Math.pow(2,-o))<1&&(o--,l*=2),e+=o+h>=1?f/l:f*Math.pow(2,1-h),e*l>=2&&(o++,l/=2),o+h>=c?(s=0,o=c):o+h>=1?(s=(e*l-1)*Math.pow(2,i),o+=h):(s=e*Math.pow(2,h-1)*Math.pow(2,i),o=0));i>=8;t[r+d]=255&s,d+=p,s/=256,i-=8);for(o=o<<i|s,u+=i;u>0;t[r+d]=255&o,d+=p,o/=256,u-=8);t[r+d-p]|=128*m}},{}],273:[function(t,e,r){\"use strict\";function n(t,e,r){this.vertices=t,this.adjacent=e,this.boundary=r,this.lastVisited=-1}function i(t,e,r){this.vertices=t,this.cell=e,this.index=r}function a(t,e){return c(t.vertices,e.vertices)}function o(t){for(var e=[\"function orient(){var tuple=this.tuple;return test(\"],r=0;r<=t;++r)r>0&&e.push(\",\"),e.push(\"tuple[\",r,\"]\");e.push(\")}return orient\");var n=new Function(\"test\",e.join(\"\")),i=u[t+1];return i||(i=u),n(i)}function s(t,e,r){this.dimension=t,this.vertices=e,this.simplices=r,this.interior=r.filter(function(t){return!t.boundary}),this.tuple=new Array(t+1);for(var n=0;n<=t;++n)this.tuple[n]=this.vertices[n];var i=h[t];i||(i=h[t]=o(t)),this.orient=i}function l(t,e){var r=t.length;if(0===r)throw new Error(\"Must have at least d+1 points\");var i=t[0].length;if(r<=i)throw new Error(\"Must input at least d+1 points\");var a=t.slice(0,i+1),o=u.apply(void 0,a);if(0===o)throw new Error(\"Input not in general position\");for(var l=new Array(i+1),c=0;c<=i;++c)l[c]=c;o<0&&(l[0]=1,l[1]=0);for(var h=new n(l,new Array(i+1),!1),f=h.adjacent,d=new Array(i+2),c=0;c<=i;++c){for(var p=l.slice(),m=0;m<=i;++m)m===c&&(p[m]=-1);var g=p[0];p[0]=p[1],p[1]=g;var v=new n(p,new Array(i+1),!0);f[c]=v,d[c]=v}d[i+1]=h;for(var c=0;c<=i;++c)for(var p=f[c].vertices,y=f[c].adjacent,m=0;m<=i;++m){var b=p[m];if(b<0)y[m]=h;else for(var x=0;x<=i;++x)f[x].vertices.indexOf(b)<0&&(y[m]=f[x])}for(var _=new s(i,a,d),w=!!e,c=i+1;c<r;++c)_.insert(t[c],w);return _.boundary()}e.exports=l;var u=t(\"robust-orientation\"),c=t(\"simplicial-complex\").compareCells;n.prototype.flip=function(){var t=this.vertices[0];this.vertices[0]=this.vertices[1],this.vertices[1]=t;var e=this.adjacent[0];this.adjacent[0]=this.adjacent[1],this.adjacent[1]=e};var h=[],f=s.prototype;f.handleBoundaryDegeneracy=function(t,e){var r=this.dimension,n=this.vertices.length-1,i=this.tuple,a=this.vertices,o=[t];for(t.lastVisited=-n;o.length>0;){t=o.pop();for(var s=(t.vertices,t.adjacent),l=0;l<=r;++l){var u=s[l];if(u.boundary&&!(u.lastVisited<=-n)){for(var c=u.vertices,h=0;h<=r;++h){var f=c[h];i[h]=f<0?e:a[f]}var d=this.orient();if(d>0)return u;u.lastVisited=-n,0===d&&o.push(u)}}}return null},f.walk=function(t,e){var r=this.vertices.length-1,n=this.dimension,i=this.vertices,a=this.tuple,o=e?this.interior.length*Math.random()|0:this.interior.length-1,s=this.interior[o];t:for(;!s.boundary;){for(var l=s.vertices,u=s.adjacent,c=0;c<=n;++c)a[c]=i[l[c]];s.lastVisited=r;for(var c=0;c<=n;++c){var h=u[c];if(!(h.lastVisited>=r)){var f=a[c];a[c]=t;var d=this.orient();if(a[c]=f,d<0){s=h;continue t}h.boundary?h.lastVisited=-r:h.lastVisited=r}}return}return s},f.addPeaks=function(t,e){var r=this.vertices.length-1,o=this.dimension,s=this.vertices,l=this.tuple,u=this.interior,c=this.simplices,h=[e];e.lastVisited=r,e.vertices[e.vertices.indexOf(-1)]=r,e.boundary=!1,u.push(e);for(var f=[];h.length>0;){var e=h.pop(),d=e.vertices,p=e.adjacent,m=d.indexOf(r);if(!(m<0))for(var g=0;g<=o;++g)if(g!==m){var v=p[g];if(v.boundary&&!(v.lastVisited>=r)){var y=v.vertices;if(v.lastVisited!==-r){for(var b=0,x=0;x<=o;++x)y[x]<0?(b=x,l[x]=t):l[x]=s[y[x]];var _=this.orient();if(_>0){y[b]=r,v.boundary=!1,u.push(v),h.push(v),v.lastVisited=r;continue}v.lastVisited=-r}var w=v.adjacent,M=d.slice(),k=p.slice(),A=new n(M,k,!0);c.push(A);var T=w.indexOf(e);if(!(T<0)){w[T]=A,k[m]=v,M[g]=-1,k[g]=e,p[g]=A,A.flip();for(var x=0;x<=o;++x){var S=M[x];if(!(S<0||S===r)){for(var E=new Array(o-1),L=0,C=0;C<=o;++C){var z=M[C];z<0||C===x||(E[L++]=z)}f.push(new i(E,A,x))}}}}}}f.sort(a);for(var g=0;g+1<f.length;g+=2){var D=f[g],I=f[g+1],P=D.index,O=I.index;P<0||O<0||(D.cell.adjacent[D.index]=I.cell,I.cell.adjacent[I.index]=D.cell)}},f.insert=function(t,e){var r=this.vertices;r.push(t);var n=this.walk(t,e);if(n){for(var i=this.dimension,a=this.tuple,o=0;o<=i;++o){var s=n.vertices[o];a[o]=s<0?t:r[s]}var l=this.orient(a);l<0||(0!==l||(n=this.handleBoundaryDegeneracy(n,t)))&&this.addPeaks(t,n)}},f.boundary=function(){for(var t=this.dimension,e=[],r=this.simplices,n=r.length,i=0;i<n;++i){var a=r[i];if(a.boundary){for(var o=new Array(t),s=a.vertices,l=0,u=0,c=0;c<=t;++c)s[c]>=0?o[l++]=s[c]:u=1&c;if(u===(1&t)){var h=o[0];o[0]=o[1],o[1]=h}e.push(o)}}return e}},{\"robust-orientation\":489,\"simplicial-complex\":500}],274:[function(t,e,r){\"use strict\";function 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opacity\\n\\n    // unencode the extrusion vector that we snuck into the a_pos vector\\n    v_extrude = vec2(mod(a_pos, 2.0) * 2.0 - 1.0);\\n\\n    vec2 extrude = v_extrude * radius * u_extrude_scale;\\n    // multiply a_pos by 0.5, since we had it * 2 in order to sneak\\n    // in extrusion data\\n    gl_Position = u_matrix * vec4(floor(a_pos * 0.5), 0, 1);\\n\\n    if (u_scale_with_map) {\\n        gl_Position.xy += extrude;\\n    } else {\\n        gl_Position.xy += extrude * gl_Position.w;\\n    }\\n\\n    // This is a minimum blur distance that serves as a faux-antialiasing for\\n    // the circle. since blur is a ratio of the circle's size and the intent is\\n    // to keep the blur at roughly 1px, the two are inversely related.\\n    v_antialiasblur = 1.0 / u_devicepixelratio / radius;\\n}\\n\"},line:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform lowp vec4 u_color;\\nuniform lowp float u_opacity;\\nuniform float u_blur;\\n\\nvarying vec2 v_linewidth;\\nvarying vec2 v_normal;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    // Calculate the distance of the pixel from the line in pixels.\\n    float dist = length(v_normal) * v_linewidth.s;\\n\\n    // Calculate the antialiasing fade factor. This is either when fading in\\n    // the line in case of an offset line (v_linewidth.t) or when fading out\\n    // (v_linewidth.s)\\n    float blur = u_blur * v_gamma_scale;\\n    float alpha = clamp(min(dist - (v_linewidth.t - blur), v_linewidth.s - dist) / blur, 0.0, 1.0);\\n\\n    gl_FragColor = u_color * (alpha * u_opacity);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\n// floor(127 / 2) == 63.0\\n// the maximum allowed miter limit is 2.0 at the moment. the extrude normal is\\n// stored in a byte (-128..127). we scale regular normals up to length 63, but\\n// there are also \\\"special\\\" normals that have a bigger length (of up to 126 in\\n// this case).\\n// #define scale 63.0\\n#define scale 0.015873016\\n\\nattribute vec2 a_pos;\\nattribute vec4 a_data;\\n\\nuniform mat4 u_matrix;\\nuniform mediump float u_ratio;\\nuniform mediump float u_linewidth;\\nuniform mediump float u_gapwidth;\\nuniform mediump float u_antialiasing;\\nuniform mediump float u_extra;\\nuniform mat2 u_antialiasingmatrix;\\nuniform mediump float u_offset;\\nuniform mediump float u_blur;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_linewidth;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    vec2 a_extrude = a_data.xy - 128.0;\\n    float a_direction = mod(a_data.z, 4.0) - 1.0;\\n\\n    // We store the texture normals in the most insignificant bit\\n    // transform y so that 0 => -1 and 1 => 1\\n    // In the texture normal, x is 0 if the normal points straight up/down and 1 if it's a round cap\\n    // y is 1 if the normal points up, and -1 if it points down\\n    mediump vec2 normal = mod(a_pos, 2.0);\\n    normal.y = sign(normal.y - 0.5);\\n    v_normal = normal;\\n\\n    float inset = u_gapwidth + (u_gapwidth > 0.0 ? u_antialiasing : 0.0);\\n    float outset = u_gapwidth + u_linewidth * (u_gapwidth > 0.0 ? 2.0 : 1.0) + u_antialiasing;\\n\\n    // Scale the extrusion vector down to a normal and then up by the line width\\n    // of this vertex.\\n    mediump vec2 dist = outset * a_extrude * scale;\\n\\n    // Calculate the offset when drawing a line that is to the side of the actual line.\\n    // We do this by creating a vector that points towards the extrude, but rotate\\n    // it when we're drawing round end points (a_direction = -1 or 1) since their\\n    // extrude vector points in another direction.\\n    mediump float u = 0.5 * a_direction;\\n    mediump float t = 1.0 - abs(u);\\n    mediump vec2 offset = u_offset * a_extrude * scale * normal.y * mat2(t, -u, u, t);\\n\\n    // Remove the texture normal bit of the position before scaling it with the\\n    // model/view matrix.\\n    gl_Position = u_matrix * vec4(floor(a_pos * 0.5) + (offset + dist) / u_ratio, 0.0, 1.0);\\n\\n    // position of y on the screen\\n    float y = gl_Position.y / gl_Position.w;\\n\\n    // how much features are squished in the y direction by the tilt\\n    float squish_scale = length(a_extrude) / length(u_antialiasingmatrix * a_extrude);\\n\\n    // how much features are squished in all directions by the perspectiveness\\n    float perspective_scale = 1.0 / (1.0 - min(y * u_extra, 0.9));\\n\\n    v_linewidth = vec2(outset, inset);\\n    v_gamma_scale = perspective_scale * squish_scale;\\n}\\n\"},linepattern:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform float u_blur;\\n\\nuniform vec2 u_pattern_size_a;\\nuniform vec2 u_pattern_size_b;\\nuniform vec2 u_pattern_tl_a;\\nuniform vec2 u_pattern_br_a;\\nuniform vec2 u_pattern_tl_b;\\nuniform vec2 u_pattern_br_b;\\nuniform float u_fade;\\nuniform float u_opacity;\\n\\nuniform sampler2D u_image;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_linewidth;\\nvarying float v_linesofar;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    // Calculate the distance of the pixel from the line in pixels.\\n    float dist = length(v_normal) * v_linewidth.s;\\n\\n    // Calculate the antialiasing fade factor. This is either when fading in\\n    // the line in case of an offset line (v_linewidth.t) or when fading out\\n    // (v_linewidth.s)\\n    float blur = u_blur * v_gamma_scale;\\n    float alpha = clamp(min(dist - (v_linewidth.t - blur), v_linewidth.s - dist) / blur, 0.0, 1.0);\\n\\n    float x_a = mod(v_linesofar / u_pattern_size_a.x, 1.0);\\n    float x_b = mod(v_linesofar / u_pattern_size_b.x, 1.0);\\n    float y_a = 0.5 + (v_normal.y * v_linewidth.s / u_pattern_size_a.y);\\n    float y_b = 0.5 + (v_normal.y * v_linewidth.s / u_pattern_size_b.y);\\n    vec2 pos_a = mix(u_pattern_tl_a, u_pattern_br_a, vec2(x_a, y_a));\\n    vec2 pos_b = mix(u_pattern_tl_b, u_pattern_br_b, vec2(x_b, y_b));\\n\\n    vec4 color = mix(texture2D(u_image, pos_a), texture2D(u_image, pos_b), u_fade);\\n\\n    alpha *= u_opacity;\\n\\n    gl_FragColor = color * alpha;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\n// floor(127 / 2) == 63.0\\n// the maximum allowed miter limit is 2.0 at the moment. the extrude normal is\\n// stored in a byte (-128..127). we scale regular normals up to length 63, but\\n// there are also \\\"special\\\" normals that have a bigger length (of up to 126 in\\n// this case).\\n// #define scale 63.0\\n#define scale 0.015873016\\n\\n// We scale the distance before adding it to the buffers so that we can store\\n// long distances for long segments. Use this value to unscale the distance.\\n#define LINE_DISTANCE_SCALE 2.0\\n\\nattribute vec2 a_pos;\\nattribute vec4 a_data;\\n\\nuniform mat4 u_matrix;\\nuniform mediump float u_ratio;\\nuniform mediump float u_linewidth;\\nuniform mediump float u_gapwidth;\\nuniform mediump float u_antialiasing;\\nuniform mediump float u_extra;\\nuniform mat2 u_antialiasingmatrix;\\nuniform mediump float u_offset;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_linewidth;\\nvarying float v_linesofar;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    vec2 a_extrude = a_data.xy - 128.0;\\n    float a_direction = mod(a_data.z, 4.0) - 1.0;\\n    float a_linesofar = (floor(a_data.z / 4.0) + a_data.w * 64.0) * LINE_DISTANCE_SCALE;\\n\\n    // We store the texture normals in the most insignificant bit\\n    // transform y so that 0 => -1 and 1 => 1\\n    // In the texture normal, x is 0 if the normal points straight up/down and 1 if it's a round cap\\n    // y is 1 if the normal points up, and -1 if it points down\\n    mediump vec2 normal = mod(a_pos, 2.0);\\n    normal.y = sign(normal.y - 0.5);\\n    v_normal = normal;\\n\\n    float inset = u_gapwidth + (u_gapwidth > 0.0 ? u_antialiasing : 0.0);\\n    float outset = u_gapwidth + u_linewidth * (u_gapwidth > 0.0 ? 2.0 : 1.0) + u_antialiasing;\\n\\n    // Scale the extrusion vector down to a normal and then up by the line width\\n    // of this vertex.\\n    mediump vec2 dist = outset * a_extrude * scale;\\n\\n    // Calculate the offset when drawing a line that is to the side of the actual line.\\n    // We do this by creating a vector that points towards the extrude, but rotate\\n    // it when we're drawing round end points (a_direction = -1 or 1) since their\\n    // extrude vector points in another direction.\\n    mediump float u = 0.5 * a_direction;\\n    mediump float t = 1.0 - abs(u);\\n    mediump vec2 offset = u_offset * a_extrude * scale * normal.y * mat2(t, -u, u, t);\\n\\n    // Remove the texture normal bit of the position before scaling it with the\\n    // model/view matrix.\\n    gl_Position = u_matrix * vec4(floor(a_pos * 0.5) + (offset + dist) / u_ratio, 0.0, 1.0);\\n    v_linesofar = a_linesofar;\\n\\n    // position of y on the screen\\n    float y = gl_Position.y / gl_Position.w;\\n\\n    // how much features are squished in the y direction by the tilt\\n    float squish_scale = length(a_extrude) / length(u_antialiasingmatrix * a_extrude);\\n\\n    // how much features are squished in all directions by the perspectiveness\\n    float perspective_scale = 1.0 / (1.0 - min(y * u_extra, 0.9));\\n\\n    v_linewidth = vec2(outset, inset);\\n    v_gamma_scale = perspective_scale * squish_scale;\\n}\\n\"},linesdfpattern:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform lowp vec4 u_color;\\nuniform lowp float u_opacity;\\n\\nuniform float u_blur;\\nuniform sampler2D u_image;\\nuniform float u_sdfgamma;\\nuniform float u_mix;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_linewidth;\\nvarying vec2 v_tex_a;\\nvarying vec2 v_tex_b;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    // Calculate the distance of the pixel from the line in pixels.\\n    float dist = length(v_normal) * v_linewidth.s;\\n\\n    // Calculate the antialiasing fade factor. This is either when fading in\\n    // the line in case of an offset line (v_linewidth.t) or when fading out\\n    // (v_linewidth.s)\\n    float blur = u_blur * v_gamma_scale;\\n    float alpha = clamp(min(dist - (v_linewidth.t - blur), v_linewidth.s - dist) / blur, 0.0, 1.0);\\n\\n    float sdfdist_a = texture2D(u_image, v_tex_a).a;\\n    float sdfdist_b = texture2D(u_image, v_tex_b).a;\\n    float sdfdist = mix(sdfdist_a, sdfdist_b, u_mix);\\n    alpha *= smoothstep(0.5 - u_sdfgamma, 0.5 + u_sdfgamma, sdfdist);\\n\\n    gl_FragColor = u_color * (alpha * u_opacity);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\n// floor(127 / 2) == 63.0\\n// the maximum allowed miter limit is 2.0 at the moment. the extrude normal is\\n// stored in a byte (-128..127). we scale regular normals up to length 63, but\\n// there are also \\\"special\\\" normals that have a bigger length (of up to 126 in\\n// this case).\\n// #define scale 63.0\\n#define scale 0.015873016\\n\\n// We scale the distance before adding it to the buffers so that we can store\\n// long distances for long segments. Use this value to unscale the distance.\\n#define LINE_DISTANCE_SCALE 2.0\\n\\nattribute vec2 a_pos;\\nattribute vec4 a_data;\\n\\nuniform mat4 u_matrix;\\nuniform mediump float u_ratio;\\nuniform mediump float u_linewidth;\\nuniform mediump float u_gapwidth;\\nuniform mediump float u_antialiasing;\\nuniform vec2 u_patternscale_a;\\nuniform float u_tex_y_a;\\nuniform vec2 u_patternscale_b;\\nuniform float u_tex_y_b;\\nuniform float u_extra;\\nuniform mat2 u_antialiasingmatrix;\\nuniform mediump float u_offset;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_linewidth;\\nvarying vec2 v_tex_a;\\nvarying vec2 v_tex_b;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    vec2 a_extrude = a_data.xy - 128.0;\\n    float a_direction = mod(a_data.z, 4.0) - 1.0;\\n    float a_linesofar = (floor(a_data.z / 4.0) + a_data.w * 64.0) * LINE_DISTANCE_SCALE;\\n\\n    // We store the texture normals in the most insignificant bit\\n    // transform y so that 0 => -1 and 1 => 1\\n    // In the texture normal, x is 0 if the normal points straight up/down and 1 if it's a round cap\\n    // y is 1 if the normal points up, and -1 if it points down\\n    mediump vec2 normal = mod(a_pos, 2.0);\\n    normal.y = sign(normal.y - 0.5);\\n    v_normal = normal;\\n\\n    float inset = u_gapwidth + (u_gapwidth > 0.0 ? u_antialiasing : 0.0);\\n    float outset = u_gapwidth + u_linewidth * (u_gapwidth > 0.0 ? 2.0 : 1.0) + u_antialiasing;\\n\\n    // Scale the extrusion vector down to a normal and then up by the line width\\n    // of this vertex.\\n    mediump vec2 dist = outset * a_extrude * scale;\\n\\n    // Calculate the offset when drawing a line that is to the side of the actual line.\\n    // We do this by creating a vector that points towards the extrude, but rotate\\n    // it when we're drawing round end points (a_direction = -1 or 1) since their\\n    // extrude vector points in another direction.\\n    mediump float u = 0.5 * a_direction;\\n    mediump float t = 1.0 - abs(u);\\n    mediump vec2 offset = u_offset * a_extrude * scale * normal.y * mat2(t, -u, u, t);\\n\\n    // Remove the texture normal bit of the position before scaling it with the\\n    // model/view matrix.\\n    gl_Position = u_matrix * vec4(floor(a_pos * 0.5) + (offset + dist) / u_ratio, 0.0, 1.0);\\n\\n    v_tex_a = vec2(a_linesofar * u_patternscale_a.x, normal.y * u_patternscale_a.y + u_tex_y_a);\\n    v_tex_b = vec2(a_linesofar * u_patternscale_b.x, normal.y * u_patternscale_b.y + u_tex_y_b);\\n\\n    // position of y on the screen\\n    float y = gl_Position.y / gl_Position.w;\\n\\n    // how much features are squished in the y direction by the tilt\\n    float squish_scale = length(a_extrude) / length(u_antialiasingmatrix * a_extrude);\\n\\n    // how much features are squished in all directions by the perspectiveness\\n    float perspective_scale = 1.0 / (1.0 - min(y * u_extra, 0.9));\\n\\n    v_linewidth = vec2(outset, inset);\\n    v_gamma_scale = perspective_scale * squish_scale;\\n}\\n\"},outline:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\n#pragma mapbox: define lowp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\n\\nvarying vec2 v_pos;\\n\\nvoid main() {\\n    #pragma mapbox: initialize lowp vec4 outline_color\\n    #pragma mapbox: initialize lowp float opacity\\n\\n    float dist = length(v_pos - gl_FragCoord.xy);\\n    float alpha = smoothstep(1.0, 0.0, dist);\\n    gl_FragColor = outline_color * (alpha * opacity);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nattribute vec2 a_pos;\\n\\nuniform mat4 u_matrix;\\nuniform vec2 u_world;\\n\\nvarying vec2 v_pos;\\n\\n#pragma mapbox: define lowp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\n\\nvoid main() {\\n    #pragma mapbox: initialize lowp vec4 outline_color\\n    #pragma mapbox: initialize lowp float opacity\\n\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n    v_pos = (gl_Position.xy / gl_Position.w + 1.0) / 2.0 * u_world;\\n}\\n\"},outlinepattern:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform float u_opacity;\\nuniform vec2 u_pattern_tl_a;\\nuniform vec2 u_pattern_br_a;\\nuniform vec2 u_pattern_tl_b;\\nuniform vec2 u_pattern_br_b;\\nuniform float u_mix;\\n\\nuniform sampler2D u_image;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\nvarying vec2 v_pos;\\n\\nvoid main() {\\n    vec2 imagecoord = mod(v_pos_a, 1.0);\\n    vec2 pos = mix(u_pattern_tl_a, u_pattern_br_a, imagecoord);\\n    vec4 color1 = texture2D(u_image, pos);\\n\\n    vec2 imagecoord_b = mod(v_pos_b, 1.0);\\n    vec2 pos2 = mix(u_pattern_tl_b, u_pattern_br_b, imagecoord_b);\\n    vec4 color2 = texture2D(u_image, pos2);\\n\\n    // find distance to outline for alpha interpolation\\n\\n    float dist = length(v_pos - gl_FragCoord.xy);\\n    float alpha = smoothstep(1.0, 0.0, dist);\\n    \\n\\n    gl_FragColor = mix(color1, color2, u_mix) * alpha * u_opacity;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform vec2 u_pattern_size_a;\\nuniform vec2 u_pattern_size_b;\\nuniform vec2 u_pixel_coord_upper;\\nuniform vec2 u_pixel_coord_lower;\\nuniform float u_scale_a;\\nuniform float u_scale_b;\\nuniform float u_tile_units_to_pixels;\\n\\nattribute vec2 a_pos;\\n\\nuniform mat4 u_matrix;\\nuniform vec2 u_world;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\nvarying vec2 v_pos;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n    vec2 scaled_size_a = u_scale_a * u_pattern_size_a;\\n    vec2 scaled_size_b = u_scale_b * u_pattern_size_b;\\n\\n    // the correct offset needs to be calculated.\\n    //\\n    // The offset depends on how many pixels are between the world origin and\\n    // the edge of the tile:\\n    // vec2 offset = mod(pixel_coord, size)\\n    //\\n    // At high zoom levels there are a ton of pixels between the world origin\\n    // and the edge of the tile. The glsl spec only guarantees 16 bits of\\n    // precision for highp floats. We need more than that.\\n    //\\n    // The pixel_coord is passed in as two 16 bit values:\\n    // pixel_coord_upper = floor(pixel_coord / 2^16)\\n    // pixel_coord_lower = mod(pixel_coord, 2^16)\\n    //\\n    // The offset is calculated in a series of steps that should preserve this precision:\\n    vec2 offset_a = mod(mod(mod(u_pixel_coord_upper, scaled_size_a) * 256.0, scaled_size_a) * 256.0 + u_pixel_coord_lower, scaled_size_a);\\n    vec2 offset_b = mod(mod(mod(u_pixel_coord_upper, scaled_size_b) * 256.0, scaled_size_b) * 256.0 + u_pixel_coord_lower, scaled_size_b);\\n\\n    v_pos_a = (u_tile_units_to_pixels * a_pos + offset_a) / scaled_size_a;\\n    v_pos_b = (u_tile_units_to_pixels * a_pos + offset_b) / scaled_size_b;\\n\\n    v_pos = (gl_Position.xy / gl_Position.w + 1.0) / 2.0 * u_world;\\n}\\n\"},pattern:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform float u_opacity;\\nuniform vec2 u_pattern_tl_a;\\nuniform vec2 u_pattern_br_a;\\nuniform vec2 u_pattern_tl_b;\\nuniform vec2 u_pattern_br_b;\\nuniform float u_mix;\\n\\nuniform sampler2D u_image;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\n\\nvoid main() {\\n\\n    vec2 imagecoord = mod(v_pos_a, 1.0);\\n    vec2 pos = mix(u_pattern_tl_a, u_pattern_br_a, imagecoord);\\n    vec4 color1 = texture2D(u_image, pos);\\n\\n    vec2 imagecoord_b = mod(v_pos_b, 1.0);\\n    vec2 pos2 = mix(u_pattern_tl_b, u_pattern_br_b, imagecoord_b);\\n    vec4 color2 = texture2D(u_image, pos2);\\n\\n    gl_FragColor = mix(color1, color2, u_mix) * u_opacity;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform mat4 u_matrix;\\nuniform vec2 u_pattern_size_a;\\nuniform vec2 u_pattern_size_b;\\nuniform vec2 u_pixel_coord_upper;\\nuniform vec2 u_pixel_coord_lower;\\nuniform float u_scale_a;\\nuniform float u_scale_b;\\nuniform float u_tile_units_to_pixels;\\n\\nattribute vec2 a_pos;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n    vec2 scaled_size_a = u_scale_a * u_pattern_size_a;\\n    vec2 scaled_size_b = u_scale_b * u_pattern_size_b;\\n\\n    // the correct offset needs to be calculated.\\n    //\\n    // The offset depends on how many pixels are between the world origin and\\n    // the edge of the tile:\\n    // vec2 offset = mod(pixel_coord, size)\\n    //\\n    // At high zoom levels there are a ton of pixels between the world origin\\n    // and the edge of the tile. The glsl spec only guarantees 16 bits of\\n    // precision for highp floats. We need more than that.\\n    //\\n    // The pixel_coord is passed in as two 16 bit values:\\n    // pixel_coord_upper = floor(pixel_coord / 2^16)\\n    // pixel_coord_lower = mod(pixel_coord, 2^16)\\n    //\\n    // The offset is calculated in a series of steps that should preserve this precision:\\n    vec2 offset_a = mod(mod(mod(u_pixel_coord_upper, scaled_size_a) * 256.0, scaled_size_a) * 256.0 + u_pixel_coord_lower, scaled_size_a);\\n    vec2 offset_b = mod(mod(mod(u_pixel_coord_upper, scaled_size_b) * 256.0, scaled_size_b) * 256.0 + u_pixel_coord_lower, scaled_size_b);\\n\\n    v_pos_a = (u_tile_units_to_pixels * a_pos + offset_a) / scaled_size_a;\\n    v_pos_b = (u_tile_units_to_pixels * a_pos + offset_b) / scaled_size_b;\\n}\\n\"},raster:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform float u_opacity0;\\nuniform float u_opacity1;\\nuniform sampler2D u_image0;\\nuniform sampler2D u_image1;\\nvarying vec2 v_pos0;\\nvarying vec2 v_pos1;\\n\\nuniform float u_brightness_low;\\nuniform float u_brightness_high;\\n\\nuniform float u_saturation_factor;\\nuniform float u_contrast_factor;\\nuniform vec3 u_spin_weights;\\n\\nvoid main() {\\n\\n    // read and cross-fade colors from the main and parent tiles\\n    vec4 color0 = texture2D(u_image0, v_pos0);\\n    vec4 color1 = texture2D(u_image1, v_pos1);\\n    vec4 color = color0 * u_opacity0 + color1 * u_opacity1;\\n    vec3 rgb = color.rgb;\\n\\n    // spin\\n    rgb = vec3(\\n        dot(rgb, u_spin_weights.xyz),\\n        dot(rgb, u_spin_weights.zxy),\\n        dot(rgb, u_spin_weights.yzx));\\n\\n    // saturation\\n    float average = (color.r + color.g + color.b) / 3.0;\\n    rgb += (average - rgb) * u_saturation_factor;\\n\\n    // contrast\\n    rgb = (rgb - 0.5) * u_contrast_factor + 0.5;\\n\\n    // brightness\\n    vec3 u_high_vec = vec3(u_brightness_low, u_brightness_low, u_brightness_low);\\n    vec3 u_low_vec = vec3(u_brightness_high, u_brightness_high, u_brightness_high);\\n\\n    gl_FragColor = vec4(mix(u_high_vec, u_low_vec, rgb), color.a);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",\n",
       "vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform mat4 u_matrix;\\nuniform vec2 u_tl_parent;\\nuniform float u_scale_parent;\\nuniform float u_buffer_scale;\\n\\nattribute vec2 a_pos;\\nattribute vec2 a_texture_pos;\\n\\nvarying vec2 v_pos0;\\nvarying vec2 v_pos1;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n    v_pos0 = (((a_texture_pos / 32767.0) - 0.5) / u_buffer_scale ) + 0.5;\\n    v_pos1 = (v_pos0 * u_scale_parent) + u_tl_parent;\\n}\\n\"},icon:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform sampler2D u_texture;\\nuniform sampler2D u_fadetexture;\\nuniform lowp float u_opacity;\\n\\nvarying vec2 v_tex;\\nvarying vec2 v_fade_tex;\\n\\nvoid main() {\\n    lowp float alpha = texture2D(u_fadetexture, v_fade_tex).a * u_opacity;\\n    gl_FragColor = texture2D(u_texture, v_tex) * alpha;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nattribute vec2 a_pos;\\nattribute vec2 a_offset;\\nattribute vec2 a_texture_pos;\\nattribute vec4 a_data;\\n\\n\\n// matrix is for the vertex position.\\nuniform mat4 u_matrix;\\n\\nuniform mediump float u_zoom;\\nuniform bool u_rotate_with_map;\\nuniform vec2 u_extrude_scale;\\n\\nuniform vec2 u_texsize;\\n\\nvarying vec2 v_tex;\\nvarying vec2 v_fade_tex;\\n\\nvoid main() {\\n    vec2 a_tex = a_texture_pos.xy;\\n    mediump float a_labelminzoom = a_data[0];\\n    mediump vec2 a_zoom = a_data.pq;\\n    mediump float a_minzoom = a_zoom[0];\\n    mediump float a_maxzoom = a_zoom[1];\\n\\n    // u_zoom is the current zoom level adjusted for the change in font size\\n    mediump float z = 2.0 - step(a_minzoom, u_zoom) - (1.0 - step(a_maxzoom, u_zoom));\\n\\n    vec2 extrude = u_extrude_scale * (a_offset / 64.0);\\n    if (u_rotate_with_map) {\\n        gl_Position = u_matrix * vec4(a_pos + extrude, 0, 1);\\n        gl_Position.z += z * gl_Position.w;\\n    } else {\\n        gl_Position = u_matrix * vec4(a_pos, 0, 1) + vec4(extrude, 0, 0);\\n    }\\n\\n    v_tex = a_tex / u_texsize;\\n    v_fade_tex = vec2(a_labelminzoom / 255.0, 0.0);\\n}\\n\"},sdf:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform sampler2D u_texture;\\nuniform sampler2D u_fadetexture;\\nuniform lowp vec4 u_color;\\nuniform lowp float u_opacity;\\nuniform lowp float u_buffer;\\nuniform lowp float u_gamma;\\n\\nvarying vec2 v_tex;\\nvarying vec2 v_fade_tex;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    lowp float dist = texture2D(u_texture, v_tex).a;\\n    lowp float fade_alpha = texture2D(u_fadetexture, v_fade_tex).a;\\n    lowp float gamma = u_gamma * v_gamma_scale;\\n    lowp float alpha = smoothstep(u_buffer - gamma, u_buffer + gamma, dist) * fade_alpha;\\n\\n    gl_FragColor = u_color * (alpha * u_opacity);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nconst float PI = 3.141592653589793;\\n\\nattribute vec2 a_pos;\\nattribute vec2 a_offset;\\nattribute vec2 a_texture_pos;\\nattribute vec4 a_data;\\n\\n\\n// matrix is for the vertex position.\\nuniform mat4 u_matrix;\\n\\nuniform mediump float u_zoom;\\nuniform bool u_rotate_with_map;\\nuniform bool u_pitch_with_map;\\nuniform mediump float u_pitch;\\nuniform mediump float u_bearing;\\nuniform mediump float u_aspect_ratio;\\nuniform vec2 u_extrude_scale;\\n\\nuniform vec2 u_texsize;\\n\\nvarying vec2 v_tex;\\nvarying vec2 v_fade_tex;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    vec2 a_tex = a_texture_pos.xy;\\n    mediump float a_labelminzoom = a_data[0];\\n    mediump vec2 a_zoom = a_data.pq;\\n    mediump float a_minzoom = a_zoom[0];\\n    mediump float a_maxzoom = a_zoom[1];\\n\\n    // u_zoom is the current zoom level adjusted for the change in font size\\n    mediump float z = 2.0 - step(a_minzoom, u_zoom) - (1.0 - step(a_maxzoom, u_zoom));\\n\\n    // pitch-alignment: map\\n    // rotation-alignment: map | viewport\\n    if (u_pitch_with_map) {\\n        lowp float angle = u_rotate_with_map ? (a_data[1] / 256.0 * 2.0 * PI) : u_bearing;\\n        lowp float asin = sin(angle);\\n        lowp float acos = cos(angle);\\n        mat2 RotationMatrix = mat2(acos, asin, -1.0 * asin, acos);\\n        vec2 offset = RotationMatrix * a_offset;\\n        vec2 extrude = u_extrude_scale * (offset / 64.0);\\n        gl_Position = u_matrix * vec4(a_pos + extrude, 0, 1);\\n        gl_Position.z += z * gl_Position.w;\\n    // pitch-alignment: viewport\\n    // rotation-alignment: map\\n    } else if (u_rotate_with_map) {\\n        // foreshortening factor to apply on pitched maps\\n        // as a label goes from horizontal <=> vertical in angle\\n        // it goes from 0% foreshortening to up to around 70% foreshortening\\n        lowp float pitchfactor = 1.0 - cos(u_pitch * sin(u_pitch * 0.75));\\n\\n        lowp float lineangle = a_data[1] / 256.0 * 2.0 * PI;\\n\\n        // use the lineangle to position points a,b along the line\\n        // project the points and calculate the label angle in projected space\\n        // this calculation allows labels to be rendered unskewed on pitched maps\\n        vec4 a = u_matrix * vec4(a_pos, 0, 1);\\n        vec4 b = u_matrix * vec4(a_pos + vec2(cos(lineangle),sin(lineangle)), 0, 1);\\n        lowp float angle = atan((b[1]/b[3] - a[1]/a[3])/u_aspect_ratio, b[0]/b[3] - a[0]/a[3]);\\n        lowp float asin = sin(angle);\\n        lowp float acos = cos(angle);\\n        mat2 RotationMatrix = mat2(acos, -1.0 * asin, asin, acos);\\n\\n        vec2 offset = RotationMatrix * (vec2((1.0-pitchfactor)+(pitchfactor*cos(angle*2.0)), 1.0) * a_offset);\\n        vec2 extrude = u_extrude_scale * (offset / 64.0);\\n        gl_Position = u_matrix * vec4(a_pos, 0, 1) + vec4(extrude, 0, 0);\\n        gl_Position.z += z * gl_Position.w;\\n    // pitch-alignment: viewport\\n    // rotation-alignment: viewport\\n    } else {\\n        vec2 extrude = u_extrude_scale * (a_offset / 64.0);\\n        gl_Position = u_matrix * vec4(a_pos, 0, 1) + vec4(extrude, 0, 0);\\n    }\\n\\n    v_gamma_scale = (gl_Position.w - 0.5);\\n\\n    v_tex = a_tex / u_texsize;\\n    v_fade_tex = vec2(a_labelminzoom / 255.0, 0.0);\\n}\\n\"},collisionbox:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform float u_zoom;\\nuniform float u_maxzoom;\\n\\nvarying float v_max_zoom;\\nvarying float v_placement_zoom;\\n\\nvoid main() {\\n\\n    float alpha = 0.5;\\n\\n    gl_FragColor = vec4(0.0, 1.0, 0.0, 1.0) * alpha;\\n\\n    if (v_placement_zoom > u_zoom) {\\n        gl_FragColor = vec4(1.0, 0.0, 0.0, 1.0) * alpha;\\n    }\\n\\n    if (u_zoom >= v_max_zoom) {\\n        gl_FragColor = vec4(0.0, 0.0, 0.0, 1.0) * alpha * 0.25;\\n    }\\n\\n    if (v_placement_zoom >= u_maxzoom) {\\n        gl_FragColor = vec4(0.0, 0.0, 1.0, 1.0) * alpha * 0.2;\\n    }\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nattribute vec2 a_pos;\\nattribute vec2 a_extrude;\\nattribute vec2 a_data;\\n\\nuniform mat4 u_matrix;\\nuniform float u_scale;\\n\\nvarying float v_max_zoom;\\nvarying float v_placement_zoom;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos + a_extrude / u_scale, 0.0, 1.0);\\n\\n    v_max_zoom = a_data.x;\\n    v_placement_zoom = a_data.y;\\n}\\n\"}},e.exports.util=\"float evaluate_zoom_function_1(const vec4 values, const float t) {\\n    if (t < 1.0) {\\n        return mix(values[0], values[1], t);\\n    } else if (t < 2.0) {\\n        return mix(values[1], values[2], t - 1.0);\\n    } else {\\n        return mix(values[2], values[3], t - 2.0);\\n    }\\n}\\nvec4 evaluate_zoom_function_4(const vec4 value0, const vec4 value1, const vec4 value2, const vec4 value3, const float t) {\\n    if (t < 1.0) {\\n        return mix(value0, value1, t);\\n    } else if (t < 2.0) {\\n        return mix(value1, value2, t - 1.0);\\n    } else {\\n        return 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o({key:r+\".type\",value:e.type,valueSpec:{values:[\"vector\",\"raster\",\"geojson\",\"video\",\"image\"]},style:l,styleSpec:s})}}},{\"../error/validation_error\":286,\"../util/unbundle_jsonlint\":289,\"./validate_enum\":295,\"./validate_object\":302}],305:[function(t,e,r){\"use strict\";var n=t(\"../util/get_type\"),i=t(\"../error/validation_error\");e.exports=function(t){var e=t.value,r=t.key,a=n(e);return\"string\"!==a?[new i(r,e,\"string expected, %s found\",a)]:[]}},{\"../error/validation_error\":286,\"../util/get_type\":288}],306:[function(t,e,r){\"use strict\";function n(t,e){e=e||l;var r=[];return r=r.concat(s({key:\"\",value:t,valueSpec:e.$root,styleSpec:e,style:t,objectElementValidators:{glyphs:u}})),e.$version>7&&t.constants&&(r=r.concat(o({key:\"constants\",value:t.constants,style:t,styleSpec:e}))),i(r)}function i(t){return[].concat(t).sort(function(t,e){return t.line-e.line})}function a(t){return function(){return i(t.apply(this,arguments))}}var 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new({fill:t(\"./bucket/fill_bucket\"),line:t(\"./bucket/line_bucket\"),circle:t(\"./bucket/circle_bucket\"),symbol:t(\"./bucket/symbol_bucket\")}[e.layer.type])(e)},n.EXTENT=8192,n.prototype.populateArrays=function(){this.createArrays(),this.recalculateStyleLayers();for(var t=0;t<this.features.length;t++)this.addFeature(this.features[t]);this.trimArrays()},n.prototype.prepareArrayGroup=function(t,e){var r=this.arrayGroups[t],n=r.length&&r[r.length-1];return n&&n.hasCapacityFor(e)||(n=new l({layoutVertexArrayType:this.programInterfaces[t].layoutVertexArrayType,elementArrayType:this.programInterfaces[t].elementArrayType,elementArrayType2:this.programInterfaces[t].elementArrayType2,paintVertexArrayTypes:this.paintVertexArrayTypes[t]}),n.index=r.length,r.push(n)),n},n.prototype.createArrays=function(){this.arrayGroups={},this.paintVertexArrayTypes={};for(var t in this.programInterfaces){this.arrayGroups[t]=[];var e=this.paintVertexArrayTypes[t]={},r=this.paintAttributes[t];for(var i in 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t.serialize()})}),paintVertexArrayTypes:c.mapObject(this.paintVertexArrayTypes,function(t){return c.mapObject(t,function(t){return t.serialize()})}),childLayerIds:this.childLayers.map(function(t){return t.id})}},n.prototype.createFilter=function(){this.filter||(this.filter=s(this.layer.filter))};var d={lastIntegerZoom:1/0,lastIntegerZoomTime:0,lastZoom:0};n.prototype.recalculateStyleLayers=function(){for(var t=0;t<this.childLayers.length;t++)this.childLayers[t].recalculate(this.zoom,d)},n.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a=0;a<this.childLayers.length;a++)for(var o=this.childLayers[a],s=this.arrayGroups[t],l=n.index;l<s.length;l++){var u=s[l],c=u.layoutVertexArray.length,h=u.paintVertexArrays[o.id];h.resize(c);for(var f=this.paintAttributes[t][o.id].attributes,d=0;d<f.length;d++)for(var p=f[d],m=p.getValue(o,e,r),g=p.multiplier||1,v=p.components||1,y=l===n.index?i:0,b=y;b<c;b++)for(var x=h.get(b),_=0;_<v;_++){var w=v>1?p.name+_:p.name;x[w]=m[_]*g}}},n.VertexArrayType=function(t){return new h({members:t,alignment:4})},n.ElementArrayType=function(t){return new h({members:[{type:\"Uint16\",name:\"vertices\",components:t||3}]})}},{\"../util/struct_array\":422,\"../util/util\":424,\"./array_group\":310,\"./bucket/circle_bucket\":312,\"./bucket/fill_bucket\":313,\"./bucket/line_bucket\":314,\"./bucket/symbol_bucket\":315,\"./buffer_group\":317,assert:40,\"feature-filter\":117}],312:[function(t,e,r){\"use strict\";function n(){i.apply(this,arguments)}var i=t(\"../bucket\"),a=t(\"../../util/util\"),o=t(\"../load_geometry\"),s=i.EXTENT;e.exports=n,n.prototype=a.inherit(i,{}),n.prototype.addCircleVertex=function(t,e,r,n,i){return t.emplaceBack(2*e+(n+1)/2,2*r+(i+1)/2)},n.prototype.programInterfaces={circle:{layoutVertexArrayType:new i.VertexArrayType([{name:\"a_pos\",components:2,type:\"Int16\"}]),elementArrayType:new i.ElementArrayType,paintAttributes:[{name:\"a_color\",components:4,type:\"Uint8\",getValue:function(t,e,r){return t.getPaintValue(\"circle-color\",e,r)},multiplier:255,paintProperty:\"circle-color\"},{name:\"a_radius\",components:1,type:\"Uint16\",isLayerConstant:!1,getValue:function(t,e,r){return[t.getPaintValue(\"circle-radius\",e,r)]},multiplier:10,paintProperty:\"circle-radius\"},{name:\"a_blur\",components:1,type:\"Uint16\",isLayerConstant:!1,getValue:function(t,e,r){return[t.getPaintValue(\"circle-blur\",e,r)]},multiplier:10,paintProperty:\"circle-blur\"},{name:\"a_opacity\",components:1,type:\"Uint16\",isLayerConstant:!1,getValue:function(t,e,r){return[t.getPaintValue(\"circle-opacity\",e,r)]},multiplier:255,paintProperty:\"circle-opacity\"}]}},n.prototype.addFeature=function(t){for(var e={zoom:this.zoom},r=o(t),n=this.prepareArrayGroup(\"circle\",0),i=n.layoutVertexArray.length,a=0;a<r.length;a++)for(var l=0;l<r[a].length;l++){var u=r[a][l].x,c=r[a][l].y;if(!(u<0||u>=s||c<0||c>=s)){var h=this.prepareArrayGroup(\"circle\",4),f=h.layoutVertexArray,d=this.addCircleVertex(f,u,c,-1,-1);this.addCircleVertex(f,u,c,1,-1),this.addCircleVertex(f,u,c,1,1),this.addCircleVertex(f,u,c,-1,1),h.elementArray.emplaceBack(d,d+1,d+2),h.elementArray.emplaceBack(d,d+3,d+2)}}this.populatePaintArrays(\"circle\",e,t.properties,n,i)}},{\"../../util/util\":424,\"../bucket\":311,\"../load_geometry\":319}],313:[function(t,e,r){\"use strict\";function n(){i.apply(this,arguments)}var i=t(\"../bucket\"),a=t(\"../../util/util\"),o=t(\"../load_geometry\"),s=t(\"earcut\"),l=t(\"../../util/classify_rings\");e.exports=n,n.prototype=a.inherit(i,{}),n.prototype.programInterfaces={fill:{layoutVertexArrayType:new i.VertexArrayType([{name:\"a_pos\",components:2,type:\"Int16\"}]),elementArrayType:new i.ElementArrayType(1),elementArrayType2:new i.ElementArrayType(2),paintAttributes:[{name:\"a_color\",components:4,type:\"Uint8\",getValue:function(t,e,r){return t.getPaintValue(\"fill-color\",e,r)},multiplier:255,paintProperty:\"fill-color\"},{name:\"a_outline_color\",components:4,type:\"Uint8\",getValue:function(t,e,r){return t.getPaintValue(\"fill-outline-color\",e,r)},multiplier:255,paintProperty:\"fill-outline-color\"},{name:\"a_opacity\",components:1,type:\"Uint8\",getValue:function(t,e,r){return[t.getPaintValue(\"fill-opacity\",e,r)]},multiplier:255,paintProperty:\"fill-opacity\"}]}},n.prototype.addFeature=function(t){for(var e=o(t),r=l(e,500),n=this.prepareArrayGroup(\"fill\",0),i=n.layoutVertexArray.length,a=0;a<r.length;a++)this.addPolygon(r[a]);this.populatePaintArrays(\"fill\",{zoom:this.zoom},t.properties,n,i)},n.prototype.addPolygon=function(t){for(var e=0,r=0;r<t.length;r++)e+=t[r].length;for(var n=this.prepareArrayGroup(\"fill\",e),i=[],a=[],o=n.layoutVertexArray.length,l=0;l<t.length;l++){var u=t[l];l>0&&a.push(i.length/2);for(var c=0;c<u.length;c++){var h=u[c],f=n.layoutVertexArray.emplaceBack(h.x,h.y);c>=1&&n.elementArray2.emplaceBack(f-1,f),i.push(h.x),i.push(h.y)}}for(var d=s(i,a),p=0;p<d.length;p++)n.elementArray.emplaceBack(d[p]+o)}},{\"../../util/classify_rings\":412,\"../../util/util\":424,\"../bucket\":311,\"../load_geometry\":319,earcut:111}],314:[function(t,e,r){\"use strict\";function n(){i.apply(this,arguments)}var i=t(\"../bucket\"),a=t(\"../../util/util\"),o=t(\"../load_geometry\"),s=i.EXTENT,l=Math.cos(Math.PI/180*37.5),u=Math.pow(2,14)/.5;e.exports=n,n.prototype=a.inherit(i,{}),n.prototype.addLineVertex=function(t,e,r,n,i,a,o){return t.emplaceBack(e.x<<1|n,e.y<<1|i,Math.round(63*r.x)+128,Math.round(63*r.y)+128,1+(0===a?0:a<0?-1:1)|(.5*o&63)<<2,.5*o>>6)},n.prototype.programInterfaces={line:{layoutVertexArrayType:new i.VertexArrayType([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}]),elementArrayType:new i.ElementArrayType}},n.prototype.addFeature=function(t){for(var e=o(t,15),r=0;r<e.length;r++)this.addLine(e[r],this.layer.layout[\"line-join\"],this.layer.layout[\"line-cap\"],this.layer.layout[\"line-miter-limit\"],this.layer.layout[\"line-round-limit\"])},n.prototype.addLine=function(t,e,r,n,i){for(var a=t.length;a>2&&t[a-1].equals(t[a-2]);)a--;if(!(t.length<2)){\"bevel\"===e&&(n=1.05);var o=s/(512*this.overscaling)*15,u=t[0],c=t[a-1],h=u.equals(c);if(this.prepareArrayGroup(\"line\",10*a),2!==a||!h){this.distance=0;var f,d,p,m,g,v,y,b=r,x=h?\"butt\":r,_=!0;this.e1=this.e2=this.e3=-1,h&&(f=t[a-2],g=u.sub(f)._unit()._perp());for(var w=0;w<a;w++)if(!(p=h&&w===a-1?t[1]:t[w+1])||!t[w].equals(p)){g&&(m=g),f&&(d=f),f=t[w],g=p?p.sub(f)._unit()._perp():m,m=m||g;var M=m.add(g)._unit(),k=M.x*g.x+M.y*g.y,A=1/k,T=k<l&&d&&p;if(T&&w>0){var S=f.dist(d);if(S>2*o){var E=f.sub(f.sub(d)._mult(o/S)._round());this.distance+=E.dist(d),this.addCurrentVertex(E,this.distance,m.mult(1),0,0,!1),d=E}}var L=d&&p,C=L?e:p?b:x;if(L&&\"round\"===C&&(A<i?C=\"miter\":A<=2&&(C=\"fakeround\")),\"miter\"===C&&A>n&&(C=\"bevel\"),\"bevel\"===C&&(A>2&&(C=\"flipbevel\"),A<n&&(C=\"miter\")),d&&(this.distance+=f.dist(d)),\"miter\"===C)M._mult(A),this.addCurrentVertex(f,this.distance,M,0,0,!1);else if(\"flipbevel\"===C){if(A>100)M=g.clone();else{var z=m.x*g.y-m.y*g.x>0?-1:1,D=A*m.add(g).mag()/m.sub(g).mag();M._perp()._mult(D*z)}this.addCurrentVertex(f,this.distance,M,0,0,!1),this.addCurrentVertex(f,this.distance,M.mult(-1),0,0,!1)}else if(\"bevel\"===C||\"fakeround\"===C){var I=m.x*g.y-m.y*g.x>0,P=-Math.sqrt(A*A-1);if(I?(y=0,v=P):(v=0,y=P),_||this.addCurrentVertex(f,this.distance,m,v,y,!1),\"fakeround\"===C){for(var O,j=Math.floor(8*(.5-(k-.5))),R=0;R<j;R++)O=g.mult((R+1)/(j+1))._add(m)._unit(),this.addPieSliceVertex(f,this.distance,O,I);this.addPieSliceVertex(f,this.distance,M,I);for(var F=j-1;F>=0;F--)O=m.mult((F+1)/(j+1))._add(g)._unit(),this.addPieSliceVertex(f,this.distance,O,I)}p&&this.addCurrentVertex(f,this.distance,g,-v,-y,!1)}else\"butt\"===C?(_||this.addCurrentVertex(f,this.distance,m,0,0,!1),p&&this.addCurrentVertex(f,this.distance,g,0,0,!1)):\"square\"===C?(_||(this.addCurrentVertex(f,this.distance,m,1,1,!1),this.e1=this.e2=-1),p&&this.addCurrentVertex(f,this.distance,g,-1,-1,!1)):\"round\"===C&&(_||(this.addCurrentVertex(f,this.distance,m,0,0,!1),this.addCurrentVertex(f,this.distance,m,1,1,!0),this.e1=this.e2=-1),p&&(this.addCurrentVertex(f,this.distance,g,-1,-1,!0),this.addCurrentVertex(f,this.distance,g,0,0,!1)));if(T&&w<a-1){var N=f.dist(p);if(N>2*o){var B=f.add(p.sub(f)._mult(o/N)._round());this.distance+=B.dist(f),this.addCurrentVertex(B,this.distance,g.mult(1),0,0,!1),f=B}}_=!1}}}},n.prototype.addCurrentVertex=function(t,e,r,n,i,a){var o,s=a?1:0,l=this.arrayGroups.line[this.arrayGroups.line.length-1],c=l.layoutVertexArray,h=l.elementArray;o=r.clone(),n&&o._sub(r.perp()._mult(n)),this.e3=this.addLineVertex(c,t,o,s,0,n,e),this.e1>=0&&this.e2>=0&&h.emplaceBack(this.e1,this.e2,this.e3),this.e1=this.e2,this.e2=this.e3,o=r.mult(-1),i&&o._sub(r.perp()._mult(i)),this.e3=this.addLineVertex(c,t,o,s,1,-i,e),this.e1>=0&&this.e2>=0&&h.emplaceBack(this.e1,this.e2,this.e3),this.e1=this.e2,this.e2=this.e3,e>u/2&&(this.distance=0,this.addCurrentVertex(t,this.distance,r,n,i,a))},n.prototype.addPieSliceVertex=function(t,e,r,n){var i=n?1:0;r=r.mult(n?-1:1);var a=this.arrayGroups.line[this.arrayGroups.line.length-1],o=a.layoutVertexArray,s=a.elementArray;this.e3=this.addLineVertex(o,t,r,0,i,0,e),this.e1>=0&&this.e2>=0&&s.emplaceBack(this.e1,this.e2,this.e3),n?this.e2=this.e3:this.e1=this.e3}},{\"../../util/util\":424,\"../bucket\":311,\"../load_geometry\":319}],315:[function(t,e,r){\"use strict\";function n(t){o.apply(this,arguments),this.showCollisionBoxes=t.showCollisionBoxes,this.overscaling=t.overscaling,this.collisionBoxArray=t.collisionBoxArray,this.symbolQuadsArray=t.symbolQuadsArray,this.symbolInstancesArray=t.symbolInstancesArray,this.sdfIcons=t.sdfIcons,this.iconsNeedLinear=t.iconsNeedLinear,this.adjustedTextSize=t.adjustedTextSize,this.adjustedIconSize=t.adjustedIconSize,this.fontstack=t.fontstack}function i(t,e,r,n,i,a,o,s,l,u,c){return t.emplaceBack(e,r,Math.round(64*n),Math.round(64*i),a/4,o/4,10*(u||0),c,10*(s||0),10*Math.min(l||25,25))}var a=t(\"point-geometry\"),o=t(\"../bucket\"),s=t(\"../../symbol/anchor\"),l=t(\"../../symbol/get_anchors\"),u=t(\"../../util/token\"),c=t(\"../../symbol/quads\"),h=t(\"../../symbol/shaping\"),f=t(\"../../symbol/resolve_text\"),d=t(\"../../symbol/mergelines\"),p=t(\"../../symbol/clip_line\"),m=t(\"../../util/util\"),g=t(\"../load_geometry\"),v=t(\"../../symbol/collision_feature\"),y=h.shapeText,b=h.shapeIcon,x=c.getGlyphQuads,_=c.getIconQuads,w=o.EXTENT;e.exports=n,n.MAX_QUADS=65535,n.prototype=m.inherit(o,{}),n.prototype.serialize=function(){var t=o.prototype.serialize.apply(this);return t.sdfIcons=this.sdfIcons,t.iconsNeedLinear=this.iconsNeedLinear,t.adjustedTextSize=this.adjustedTextSize,t.adjustedIconSize=this.adjustedIconSize,t.fontstack=this.fontstack,t};var M=new o.VertexArrayType([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_offset\",components:2,type:\"Int16\"},{name:\"a_texture_pos\",components:2,type:\"Uint16\"},{name:\"a_data\",components:4,type:\"Uint8\"}]),k=new o.ElementArrayType;n.prototype.addCollisionBoxVertex=function(t,e,r,n,i){return t.emplaceBack(e.x,e.y,Math.round(r.x),Math.round(r.y),10*n,10*i)},n.prototype.programInterfaces={glyph:{layoutVertexArrayType:M,elementArrayType:k},icon:{layoutVertexArrayType:M,elementArrayType:k},collisionBox:{layoutVertexArrayType:new o.VertexArrayType([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_extrude\",components:2,type:\"Int16\"},{name:\"a_data\",components:2,type:\"Uint8\"}])}},n.prototype.populateArrays=function(t,e,r){var n={lastIntegerZoom:1/0,lastIntegerZoomTime:0,lastZoom:0};this.adjustedTextMaxSize=this.layer.getLayoutValue(\"text-size\",{zoom:18,zoomHistory:n}),this.adjustedTextSize=this.layer.getLayoutValue(\"text-size\",{zoom:this.zoom+1,zoomHistory:n}),this.adjustedIconMaxSize=this.layer.getLayoutValue(\"icon-size\",{zoom:18,zoomHistory:n}),this.adjustedIconSize=this.layer.getLayoutValue(\"icon-size\",{zoom:this.zoom+1,zoomHistory:n});var i=512*this.overscaling;this.tilePixelRatio=w/i,this.compareText={},this.iconsNeedLinear=!1,this.symbolInstancesStartIndex=this.symbolInstancesArray.length;var a=this.layer.layout,o=this.features,s=this.textFeatures,l=.5,c=.5;switch(a[\"text-anchor\"]){case\"right\":case\"top-right\":case\"bottom-right\":l=1;break;case\"left\":case\"top-left\":case\"bottom-left\":l=0}switch(a[\"text-anchor\"]){case\"bottom\":case\"bottom-right\":case\"bottom-left\":c=1;break;case\"top\":case\"top-right\":case\"top-left\":c=0}for(var h=\"right\"===a[\"text-justify\"]?1:\"left\"===a[\"text-justify\"]?0:.5,f=24*a[\"text-line-height\"],p=\"line\"!==a[\"symbol-placement\"]?24*a[\"text-max-width\"]:0,v=24*a[\"text-letter-spacing\"],x=[24*a[\"text-offset\"][0],24*a[\"text-offset\"][1]],_=this.fontstack=a[\"text-font\"].join(\",\"),M=[],k=0;k<o.length;k++)M.push(g(o[k]));if(\"line\"===a[\"symbol-placement\"]){var A=d(o,s,M);M=A.geometries,o=A.features,s=A.textFeatures}for(var T,S,E=0;E<o.length;E++)if(M[E]){if(T=s[E]?y(s[E],e[_],p,f,l,c,h,v,x):null,a[\"icon-image\"]){var L=u(o[E].properties,a[\"icon-image\"]),C=r[L];S=b(C,a),C&&(void 0===this.sdfIcons?this.sdfIcons=C.sdf:this.sdfIcons!==C.sdf&&m.warnOnce(\"Style sheet warning: Cannot mix SDF and non-SDF icons in one buffer\"),1!==C.pixelRatio?this.iconsNeedLinear=!0:0===a[\"icon-rotate\"]&&this.layer.isLayoutValueFeatureConstant(\"icon-rotate\")||(this.iconsNeedLinear=!0))}else S=null;(T||S)&&this.addFeature(M[E],T,S,o[E])}this.symbolInstancesEndIndex=this.symbolInstancesArray.length,this.placeFeatures(t,this.showCollisionBoxes),this.trimArrays()},n.prototype.addFeature=function(t,e,r,n){\n",
       "var i=this.layer.layout,a=this.adjustedTextSize/24,o=void 0!==this.adjustedTextMaxSize?this.adjustedTextMaxSize:this.adjustedTextSize,u=this.tilePixelRatio*a,c=this.tilePixelRatio*o/24,h=this.tilePixelRatio*this.adjustedIconSize,f=this.tilePixelRatio*i[\"symbol-spacing\"],d=i[\"symbol-avoid-edges\"],m=i[\"text-padding\"]*this.tilePixelRatio,g=i[\"icon-padding\"]*this.tilePixelRatio,v=i[\"text-max-angle\"]/180*Math.PI,y=\"map\"===i[\"text-rotation-alignment\"]&&\"line\"===i[\"symbol-placement\"],b=\"map\"===i[\"icon-rotation-alignment\"]&&\"line\"===i[\"symbol-placement\"],x=i[\"text-allow-overlap\"]||i[\"icon-allow-overlap\"]||i[\"text-ignore-placement\"]||i[\"icon-ignore-placement\"],_=\"line\"===i[\"symbol-placement\"],M=f/2;_&&(t=p(t,0,0,w,w));for(var k=0;k<t.length;k++){var A,T=t[k];A=_?l(T,f,v,e,r,24,c,this.overscaling,w):[new s(T[0].x,T[0].y,0)];for(var S=0,E=A.length;S<E;S++){var L=A[S];if(!(e&&_&&this.anchorIsTooClose(e.text,M,L))){var C=!(L.x<0||L.x>w||L.y<0||L.y>w);if(!d||C){var z=C||x;this.addSymbolInstance(L,T,e,r,this.layer,z,this.symbolInstancesArray.length,this.collisionBoxArray,n.index,this.sourceLayerIndex,this.index,u,m,y,h,g,b,{zoom:this.zoom},n.properties)}}}}},n.prototype.anchorIsTooClose=function(t,e,r){var n=this.compareText;if(t in n){for(var i=n[t],a=i.length-1;a>=0;a--)if(r.dist(i[a])<e)return!0}else n[t]=[];return n[t].push(r),!1},n.prototype.placeFeatures=function(t,e){this.recalculateStyleLayers(),this.createArrays();var r=this.layer.layout,n=t.maxScale,i=\"map\"===r[\"text-rotation-alignment\"]&&\"line\"===r[\"symbol-placement\"],a=\"map\"===r[\"icon-rotation-alignment\"]&&\"line\"===r[\"symbol-placement\"];if(r[\"text-allow-overlap\"]||r[\"icon-allow-overlap\"]||r[\"text-ignore-placement\"]||r[\"icon-ignore-placement\"]){var o=this.symbolInstancesArray.toArray(this.symbolInstancesStartIndex,this.symbolInstancesEndIndex),s=t.angle,l=Math.sin(s),u=Math.cos(s);this.sortedSymbolInstances=o.sort(function(t,e){return(l*t.anchorPointX+u*t.anchorPointY|0)-(l*e.anchorPointX+u*e.anchorPointY|0)||e.index-t.index})}for(var c=this.symbolInstancesStartIndex;c<this.symbolInstancesEndIndex;c++){var h=this.sortedSymbolInstances?this.sortedSymbolInstances[c-this.symbolInstancesStartIndex]:this.symbolInstancesArray.get(c),f={boxStartIndex:h.textBoxStartIndex,boxEndIndex:h.textBoxEndIndex},d={boxStartIndex:h.iconBoxStartIndex,boxEndIndex:h.iconBoxEndIndex},p=!(h.textBoxStartIndex===h.textBoxEndIndex),m=!(h.iconBoxStartIndex===h.iconBoxEndIndex),g=r[\"text-optional\"]||!p,v=r[\"icon-optional\"]||!m,y=p?t.placeCollisionFeature(f,r[\"text-allow-overlap\"],r[\"symbol-avoid-edges\"]):t.minScale,b=m?t.placeCollisionFeature(d,r[\"icon-allow-overlap\"],r[\"symbol-avoid-edges\"]):t.minScale;g||v?!v&&y?y=Math.max(b,y):!g&&b&&(b=Math.max(b,y)):b=y=Math.max(b,y),p&&(t.insertCollisionFeature(f,y,r[\"text-ignore-placement\"]),y<=n&&this.addSymbols(\"glyph\",h.glyphQuadStartIndex,h.glyphQuadEndIndex,y,r[\"text-keep-upright\"],i,t.angle)),m&&(t.insertCollisionFeature(d,b,r[\"icon-ignore-placement\"]),b<=n&&this.addSymbols(\"icon\",h.iconQuadStartIndex,h.iconQuadEndIndex,b,r[\"icon-keep-upright\"],a,t.angle))}e&&this.addToDebugBuffers(t)},n.prototype.addSymbols=function(t,e,r,n,a,o,s){for(var l=this.prepareArrayGroup(t,4*(r-e)),u=l.elementArray,c=l.layoutVertexArray,h=this.zoom,f=Math.max(Math.log(n)/Math.LN2+h,0),d=e;d<r;d++){var p=this.symbolQuadsArray.get(d).SymbolQuad,m=(p.anchorAngle+s+Math.PI)%(2*Math.PI);if(!(a&&o&&(m<=Math.PI/2||m>3*Math.PI/2))){var g=p.tl,v=p.tr,y=p.bl,b=p.br,x=p.tex,_=p.anchorPoint,w=Math.max(h+Math.log(p.minScale)/Math.LN2,f),M=Math.min(h+Math.log(p.maxScale)/Math.LN2,25);if(!(M<=w)){w===f&&(w=0);var k=Math.round(p.glyphAngle/(2*Math.PI)*256),A=i(c,_.x,_.y,g.x,g.y,x.x,x.y,w,M,f,k);i(c,_.x,_.y,v.x,v.y,x.x+x.w,x.y,w,M,f,k),i(c,_.x,_.y,y.x,y.y,x.x,x.y+x.h,w,M,f,k),i(c,_.x,_.y,b.x,b.y,x.x+x.w,x.y+x.h,w,M,f,k),u.emplaceBack(A,A+1,A+2),u.emplaceBack(A+1,A+2,A+3)}}}},n.prototype.updateIcons=function(t){this.recalculateStyleLayers();var e=this.layer.layout[\"icon-image\"];if(e)for(var r=0;r<this.features.length;r++){var n=u(this.features[r].properties,e);n&&(t[n]=!0)}},n.prototype.updateFont=function(t){this.recalculateStyleLayers();var e=this.layer.layout[\"text-font\"],r=t[e]=t[e]||{};this.textFeatures=f(this.features,this.layer.layout,r)},n.prototype.addToDebugBuffers=function(t){for(var e=this.prepareArrayGroup(\"collisionBox\",0),r=e.layoutVertexArray,n=-t.angle,i=t.yStretch,o=this.symbolInstancesStartIndex;o<this.symbolInstancesEndIndex;o++){var s=this.symbolInstancesArray.get(o);s.textCollisionFeature={boxStartIndex:s.textBoxStartIndex,boxEndIndex:s.textBoxEndIndex},s.iconCollisionFeature={boxStartIndex:s.iconBoxStartIndex,boxEndIndex:s.iconBoxEndIndex};for(var l=0;l<2;l++){var u=s[0===l?\"textCollisionFeature\":\"iconCollisionFeature\"];if(u)for(var c=u.boxStartIndex;c<u.boxEndIndex;c++){var h=this.collisionBoxArray.get(c),f=h.anchorPoint,d=new a(h.x1,h.y1*i)._rotate(n),p=new a(h.x2,h.y1*i)._rotate(n),m=new a(h.x1,h.y2*i)._rotate(n),g=new a(h.x2,h.y2*i)._rotate(n),v=Math.max(0,Math.min(25,this.zoom+Math.log(h.maxScale)/Math.LN2)),y=Math.max(0,Math.min(25,this.zoom+Math.log(h.placementScale)/Math.LN2));this.addCollisionBoxVertex(r,f,d,v,y),this.addCollisionBoxVertex(r,f,p,v,y),this.addCollisionBoxVertex(r,f,p,v,y),this.addCollisionBoxVertex(r,f,g,v,y),this.addCollisionBoxVertex(r,f,g,v,y),this.addCollisionBoxVertex(r,f,m,v,y),this.addCollisionBoxVertex(r,f,m,v,y),this.addCollisionBoxVertex(r,f,d,v,y)}}}},n.prototype.addSymbolInstance=function(t,e,r,i,a,o,s,l,u,c,h,f,d,p,g,y,b,w,M){var k,A,T,S,E,L,C,z;if(r&&(C=o?x(t,r,f,e,a,p):[],E=new v(l,e,t,u,c,h,r,f,d,p,!1)),k=this.symbolQuadsArray.length,C&&C.length)for(var D=0;D<C.length;D++)this.addSymbolQuad(C[D]);A=this.symbolQuadsArray.length;var I=E?E.boxStartIndex:this.collisionBoxArray.length,P=E?E.boxEndIndex:this.collisionBoxArray.length;i&&(z=o?_(t,i,g,e,a,b,r,w,M):[],L=new v(l,e,t,u,c,h,i,g,y,b,!0)),T=this.symbolQuadsArray.length,z&&1===z.length&&this.addSymbolQuad(z[0]),S=this.symbolQuadsArray.length;var O=L?L.boxStartIndex:this.collisionBoxArray.length,j=L?L.boxEndIndex:this.collisionBoxArray.length;return S>n.MAX_QUADS&&m.warnOnce(\"Too many symbols being rendered in a tile. See https://github.com/mapbox/mapbox-gl-js/issues/2907\"),A>n.MAX_QUADS&&m.warnOnce(\"Too many glyphs being rendered in a tile. See https://github.com/mapbox/mapbox-gl-js/issues/2907\"),this.symbolInstancesArray.emplaceBack(I,P,O,j,k,A,T,S,t.x,t.y,s)},n.prototype.addSymbolQuad=function(t){return this.symbolQuadsArray.emplaceBack(t.anchorPoint.x,t.anchorPoint.y,t.tl.x,t.tl.y,t.tr.x,t.tr.y,t.bl.x,t.bl.y,t.br.x,t.br.y,t.tex.h,t.tex.w,t.tex.x,t.tex.y,t.anchorAngle,t.glyphAngle,t.maxScale,t.minScale)}},{\"../../symbol/anchor\":373,\"../../symbol/clip_line\":375,\"../../symbol/collision_feature\":377,\"../../symbol/get_anchors\":379,\"../../symbol/mergelines\":382,\"../../symbol/quads\":383,\"../../symbol/resolve_text\":384,\"../../symbol/shaping\":385,\"../../util/token\":423,\"../../util/util\":424,\"../bucket\":311,\"../load_geometry\":319,\"point-geometry\":465}],316:[function(t,e,r){\"use strict\";function n(t,e,r){this.arrayBuffer=t.arrayBuffer,this.length=t.length,this.attributes=e.members,this.itemSize=e.bytesPerElement,this.type=r,this.arrayType=e}e.exports=n,n.prototype.bind=function(t){var e=t[this.type];this.buffer?t.bindBuffer(e,this.buffer):(this.buffer=t.createBuffer(),t.bindBuffer(e,this.buffer),t.bufferData(e,this.arrayBuffer,t.STATIC_DRAW),this.arrayBuffer=null)};var i={Int8:\"BYTE\",Uint8:\"UNSIGNED_BYTE\",Int16:\"SHORT\",Uint16:\"UNSIGNED_SHORT\"};n.prototype.setVertexAttribPointers=function(t,e){for(var r=0;r<this.attributes.length;r++){var n=this.attributes[r],a=e[n.name];void 0!==a&&t.vertexAttribPointer(a,n.components,t[i[n.type]],!1,this.arrayType.bytesPerElement,n.offset)}},n.prototype.destroy=function(t){this.buffer&&t.deleteBuffer(this.buffer)},n.BufferType={VERTEX:\"ARRAY_BUFFER\",ELEMENT:\"ELEMENT_ARRAY_BUFFER\"}},{}],317:[function(t,e,r){\"use strict\";function n(t,e){this.layoutVertexBuffer=new a(t.layoutVertexArray,e.layoutVertexArrayType,a.BufferType.VERTEX),t.elementArray&&(this.elementBuffer=new a(t.elementArray,e.elementArrayType,a.BufferType.ELEMENT));var r,n=this.vaos={};t.elementArray2&&(this.elementBuffer2=new a(t.elementArray2,e.elementArrayType2,a.BufferType.ELEMENT),r=this.secondVaos={}),this.paintVertexBuffers=i.mapObject(t.paintVertexArrays,function(i,s){return n[s]=new o,t.elementArray2&&(r[s]=new o),new a(i,e.paintVertexArrayTypes[s],a.BufferType.VERTEX)})}var i=t(\"../util/util\"),a=t(\"./buffer\"),o=t(\"../render/vertex_array_object\");e.exports=n,n.prototype.destroy=function(t){this.layoutVertexBuffer.destroy(t),this.elementBuffer&&this.elementBuffer.destroy(t),this.elementBuffer2&&this.elementBuffer2.destroy(t);for(var e in this.paintVertexBuffers)this.paintVertexBuffers[e].destroy(t);for(var r in this.vaos)this.vaos[r].destroy(t);for(var n in this.secondVaos)this.secondVaos[n].destroy(t)}},{\"../render/vertex_array_object\":339,\"../util/util\":424,\"./buffer\":316}],318:[function(t,e,r){\"use strict\";function n(t,e,r){if(t.grid){var n=t,i=e;t=n.coord,e=n.overscaling,this.grid=new p(n.grid),this.featureIndexArray=new k(n.featureIndexArray),this.rawTileData=i,this.bucketLayerIDs=n.bucketLayerIDs}else this.grid=new p(h,16,0),this.featureIndexArray=new k;this.coord=t,this.overscaling=e,this.x=t.x,this.y=t.y,this.z=t.z-Math.log(e)/Math.LN2,this.setCollisionTile(r)}function i(t){return Math.sqrt(t[0]*t[0]+t[1]*t[1])}function a(t,e){return e-t}function o(t){return t[\"line-gap-width\"]>0?t[\"line-gap-width\"]+2*t[\"line-width\"]:t[\"line-width\"]}function s(t,e,r,n,i){if(!e[0]&&!e[1])return t;e=u.convert(e),\"viewport\"===r&&e._rotate(-n);for(var a=[],o=0;o<t.length;o++){for(var s=t[o],l=[],c=0;c<s.length;c++)l.push(s[c].sub(e._mult(i)));a.push(l)}return a}function l(t,e){for(var r=[],n=new u(0,0),i=0;i<t.length;i++){for(var a=t[i],o=[],s=0;s<a.length;s++){var l=a[s-1],c=a[s],h=a[s+1],f=0===s?n:c.sub(l)._unit()._perp(),d=s===a.length-1?n:h.sub(c)._unit()._perp(),p=f._add(d)._unit(),m=p.x*d.x+p.y*d.y;p._mult(1/m),o.push(p._mult(e)._add(c))}r.push(o)}return r}var u=t(\"point-geometry\"),c=t(\"./load_geometry\"),h=t(\"./bucket\").EXTENT,f=t(\"feature-filter\"),d=t(\"../util/struct_array\"),p=t(\"grid-index\"),m=t(\"../util/dictionary_coder\"),g=t(\"vector-tile\"),v=t(\"pbf\"),y=t(\"../util/vectortile_to_geojson\"),b=t(\"../util/util\").arraysIntersect,x=t(\"../util/intersection_tests\"),_=x.multiPolygonIntersectsBufferedMultiPoint,w=x.multiPolygonIntersectsMultiPolygon,M=x.multiPolygonIntersectsBufferedMultiLine,k=new d({members:[{type:\"Uint32\",name:\"featureIndex\"},{type:\"Uint16\",name:\"sourceLayerIndex\"},{type:\"Uint16\",name:\"bucketIndex\"}]});e.exports=n,n.prototype.insert=function(t,e,r,n){var i=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(e,r,n);for(var a=c(t),o=0;o<a.length;o++){for(var s=a[o],l=[1/0,1/0,-1/0,-1/0],u=0;u<s.length;u++){var h=s[u];l[0]=Math.min(l[0],h.x),l[1]=Math.min(l[1],h.y),l[2]=Math.max(l[2],h.x),l[3]=Math.max(l[3],h.y)}this.grid.insert(i,l[0],l[1],l[2],l[3])}},n.prototype.setCollisionTile=function(t){this.collisionTile=t},n.prototype.serialize=function(){var t={coord:this.coord,overscaling:this.overscaling,grid:this.grid.toArrayBuffer(),featureIndexArray:this.featureIndexArray.serialize(),bucketLayerIDs:this.bucketLayerIDs};return{data:t,transferables:[t.grid,t.featureIndexArray.arrayBuffer]}},n.prototype.query=function(t,e){this.vtLayers||(this.vtLayers=new g.VectorTile(new v(new Uint8Array(this.rawTileData))).layers,this.sourceLayerCoder=new m(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"]));var r={},n=t.params||{},s=h/t.tileSize/t.scale,l=f(n.filter),c=0;for(var d in e){var p=e[d],y=p.paint,b=0;\"line\"===p.type?b=o(y)/2+Math.abs(y[\"line-offset\"])+i(y[\"line-translate\"]):\"fill\"===p.type?b=i(y[\"fill-translate\"]):\"circle\"===p.type&&(b=y[\"circle-radius\"]+i(y[\"circle-translate\"])),c=Math.max(c,b*s)}for(var x=t.queryGeometry.map(function(t){return t.map(function(t){return new u(t.x,t.y)})}),_=1/0,w=1/0,M=-1/0,k=-1/0,A=0;A<x.length;A++)for(var T=x[A],S=0;S<T.length;S++){var E=T[S];_=Math.min(_,E.x),w=Math.min(w,E.y),M=Math.max(M,E.x),k=Math.max(k,E.y)}var L=this.grid.query(_-c,w-c,M+c,k+c);L.sort(a),this.filterMatching(r,L,this.featureIndexArray,x,l,n.layers,e,t.bearing,s);var C=this.collisionTile.queryRenderedSymbols(_,w,M,k,t.scale);return C.sort(),this.filterMatching(r,C,this.collisionTile.collisionBoxArray,x,l,n.layers,e,t.bearing,s),r},n.prototype.filterMatching=function(t,e,r,n,i,a,u,h,f){for(var d,p=0;p<e.length;p++){var m=e[p];if(m!==d){d=m;var g=r.get(m),v=this.bucketLayerIDs[g.bucketIndex];if(!a||b(a,v)){var x=this.sourceLayerCoder.decode(g.sourceLayerIndex),k=this.vtLayers[x],A=k.feature(g.featureIndex);if(i(A))for(var T=null,S=0;S<v.length;S++){var E=v[S];if(!(a&&a.indexOf(E)<0)){var L=u[E];if(L){var C;if(\"symbol\"!==L.type){T||(T=c(A));var z=L.paint;if(\"line\"===L.type){C=s(n,z[\"line-translate\"],z[\"line-translate-anchor\"],h,f);var D=o(z)/2*f;if(z[\"line-offset\"]&&(T=l(T,z[\"line-offset\"]*f)),!M(C,T,D))continue}else if(\"fill\"===L.type){if(C=s(n,z[\"fill-translate\"],z[\"fill-translate-anchor\"],h,f),!w(C,T))continue}else if(\"circle\"===L.type){C=s(n,z[\"circle-translate\"],z[\"circle-translate-anchor\"],h,f);var I=z[\"circle-radius\"]*f;if(!_(C,T,I))continue}}var P=new y(A,this.z,this.x,this.y);P.layer=L.serialize({includeRefProperties:!0});var O=t[E];void 0===O&&(O=t[E]=[]),O.push(P)}}}}}}}},{\"../util/dictionary_coder\":414,\"../util/intersection_tests\":419,\"../util/struct_array\":422,\"../util/util\":424,\"../util/vectortile_to_geojson\":425,\"./bucket\":311,\"./load_geometry\":319,\"feature-filter\":117,\"grid-index\":271,pbf:459,\"point-geometry\":465,\"vector-tile\":530}],319:[function(t,e,r){\"use strict\";function n(t){return{min:-1*Math.pow(2,t-1),max:Math.pow(2,t-1)-1}}var i=t(\"../util/util\"),a=t(\"./bucket\").EXTENT,o=t(\"assert\"),s={15:n(15),16:n(16)};e.exports=function(t,e){var r=s[e||16];o(r);for(var n=a/t.extent,l=t.loadGeometry(),u=0;u<l.length;u++)for(var c=l[u],h=0;h<c.length;h++){var f=c[h];f.x=Math.round(f.x*n),f.y=Math.round(f.y*n),(f.x<r.min||f.x>r.max||f.y<r.min||f.y>r.max)&&i.warnOnce(\"Geometry exceeds allowed extent, reduce your vector tile buffer size\")}return l}},{\"../util/util\":424,\"./bucket\":311,assert:40}],320:[function(t,e,r){\"use strict\";function n(t,e,r){this.column=t,this.row=e,this.zoom=r}e.exports=n,n.prototype={clone:function(){return new n(this.column,this.row,this.zoom)},zoomTo:function(t){return this.clone()._zoomTo(t)},sub:function(t){return this.clone()._sub(t)},_zoomTo:function(t){var e=Math.pow(2,t-this.zoom);return this.column*=e,this.row*=e,this.zoom=t,this},_sub:function(t){return t=t.zoomTo(this.zoom),this.column-=t.column,this.row-=t.row,this}}},{}],321:[function(t,e,r){\"use strict\";function n(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")}e.exports=n;var i=t(\"../util/util\").wrap;n.prototype.wrap=function(){return new n(i(this.lng,-180,180),this.lat)},n.prototype.toArray=function(){return[this.lng,this.lat]},n.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},n.convert=function(t){return t instanceof n?t:Array.isArray(t)?new n(t[0],t[1]):t}},{\"../util/util\":424}],322:[function(t,e,r){\"use strict\";function n(t,e){t&&(e?this.extend(t).extend(e):4===t.length?this.extend([t[0],t[1]]).extend([t[2],t[3]]):this.extend(t[0]).extend(t[1]))}e.exports=n;var i=t(\"./lng_lat\");n.prototype={extend:function(t){var e,r,a=this._sw,o=this._ne;if(t instanceof i)e=t,r=t;else{if(!(t instanceof n))return t?this.extend(i.convert(t)||n.convert(t)):this;if(e=t._sw,r=t._ne,!e||!r)return this}return a||o?(a.lng=Math.min(e.lng,a.lng),a.lat=Math.min(e.lat,a.lat),o.lng=Math.max(r.lng,o.lng),o.lat=Math.max(r.lat,o.lat)):(this._sw=new i(e.lng,e.lat),this._ne=new i(r.lng,r.lat)),this},getCenter:function(){return new i((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},getSouthWest:function(){return this._sw},getNorthEast:function(){return this._ne},getNorthWest:function(){return new i(this.getWest(),this.getNorth())},getSouthEast:function(){return new i(this.getEast(),this.getSouth())},getWest:function(){return this._sw.lng},getSouth:function(){return this._sw.lat},getEast:function(){return this._ne.lng},getNorth:function(){return this._ne.lat},toArray:function(){return[this._sw.toArray(),this._ne.toArray()]},toString:function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"}},n.convert=function(t){return!t||t instanceof n?t:new n(t)}},{\"./lng_lat\":321}],323:[function(t,e,r){\"use strict\";function n(t,e){this.tileSize=512,this._minZoom=t||0,this._maxZoom=e||22,this.latRange=[-85.05113,85.05113],this.width=0,this.height=0,this._center=new i(0,0),this.zoom=0,this.angle=0,this._altitude=1.5,this._pitch=0,this._unmodified=!0}var i=t(\"./lng_lat\"),a=t(\"point-geometry\"),o=t(\"./coordinate\"),s=t(\"../util/util\").wrap,l=t(\"../util/interpolate\"),u=t(\"../source/tile_coord\"),c=t(\"../data/bucket\").EXTENT,h=t(\"gl-matrix\"),f=h.vec4,d=h.mat4,p=h.mat2;e.exports=n,n.prototype={get minZoom(){return this._minZoom},set minZoom(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},get maxZoom(){return this._maxZoom},set maxZoom(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},get worldSize(){return this.tileSize*this.scale},get centerPoint(){return this.size._div(2)},get size(){return new a(this.width,this.height)},get bearing(){return-this.angle/Math.PI*180},set bearing(t){var e=-s(t,-180,180)*Math.PI/180;this.angle!==e&&(this._unmodified=!1,this.angle=e,this._calcMatrices(),this.rotationMatrix=p.create(),p.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},get pitch(){return this._pitch/Math.PI*180},set pitch(t){var e=Math.min(60,t)/180*Math.PI;this._pitch!==e&&(this._unmodified=!1,this._pitch=e,this._calcMatrices())},get altitude(){return this._altitude},set altitude(t){var e=Math.max(.75,t);this._altitude!==e&&(this._unmodified=!1,this._altitude=e,this._calcMatrices())},get zoom(){return this._zoom},set zoom(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._calcMatrices(),this._constrain())},get center(){return this._center},set center(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._calcMatrices(),this._constrain())},coveringZoomLevel:function(t){return(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize))},coveringTiles:function(t){var e=this.coveringZoomLevel(t),r=e;if(e<t.minzoom)return[];e>t.maxzoom&&(e=t.maxzoom);var n=this,i=n.locationCoordinate(n.center)._zoomTo(e),o=new a(i.column-.5,i.row-.5);return u.cover(e,[n.pointCoordinate(new a(0,0))._zoomTo(e),n.pointCoordinate(new a(n.width,0))._zoomTo(e),n.pointCoordinate(new a(n.width,n.height))._zoomTo(e),n.pointCoordinate(new a(0,n.height))._zoomTo(e)],t.reparseOverscaled?r:e).sort(function(t,e){return o.dist(t)-o.dist(e)})},resize:function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._calcMatrices(),this._constrain()},get unmodified(){return this._unmodified},zoomScale:function(t){return Math.pow(2,t)},scaleZoom:function(t){return Math.log(t)/Math.LN2},project:function(t,e){return new a(this.lngX(t.lng,e),this.latY(t.lat,e))},unproject:function(t,e){return new i(this.xLng(t.x,e),this.yLat(t.y,e))},get x(){return this.lngX(this.center.lng)},get y(){return this.latY(this.center.lat)},get point(){return new a(this.x,this.y)},lngX:function(t,e){return(180+t)*(e||this.worldSize)/360},latY:function(t,e){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))*(e||this.worldSize)/360},xLng:function(t,e){return 360*t/(e||this.worldSize)-180},yLat:function(t,e){var r=180-360*t/(e||this.worldSize);return 360/Math.PI*Math.atan(Math.exp(r*Math.PI/180))-90},panBy:function(t){var e=this.centerPoint._add(t);this.center=this.pointLocation(e)},setLocationAtPoint:function(t,e){var r=this.locationCoordinate(t),n=this.pointCoordinate(e),i=this.pointCoordinate(this.centerPoint),a=n._sub(r);this._unmodified=!1,this.center=this.coordinateLocation(i._sub(a))},locationPoint:function(t){return this.coordinatePoint(this.locationCoordinate(t))},pointLocation:function(t){return this.coordinateLocation(this.pointCoordinate(t))},locationCoordinate:function(t){var e=this.zoomScale(this.tileZoom)/this.worldSize,r=i.convert(t);return new o(this.lngX(r.lng)*e,this.latY(r.lat)*e,this.tileZoom)},coordinateLocation:function(t){var e=this.zoomScale(t.zoom);return new i(this.xLng(t.column,e),this.yLat(t.row,e))},pointCoordinate:function(t){var e=[t.x,t.y,0,1],r=[t.x,t.y,1,1];f.transformMat4(e,e,this.pixelMatrixInverse),f.transformMat4(r,r,this.pixelMatrixInverse);var n=e[3],i=r[3],a=e[0]/n,s=r[0]/i,u=e[1]/n,c=r[1]/i,h=e[2]/n,d=r[2]/i,p=h===d?0:(0-h)/(d-h),m=this.worldSize/this.zoomScale(this.tileZoom);return new o(l(a,s,p)/m,l(u,c,p)/m,this.tileZoom)},coordinatePoint:function(t){var e=this.worldSize/this.zoomScale(t.zoom),r=[t.column*e,t.row*e,0,1];return f.transformMat4(r,r,this.pixelMatrix),new a(r[0]/r[3],r[1]/r[3])},calculatePosMatrix:function(t,e){void 0===e&&(e=1/0),t instanceof u&&(t=t.toCoordinate(e));var r=Math.min(t.zoom,e),n=this.worldSize/Math.pow(2,r),i=new Float64Array(16);return d.identity(i),d.translate(i,i,[t.column*n,t.row*n,0]),d.scale(i,i,[n/c,n/c,1]),d.multiply(i,this.projMatrix,i),new Float32Array(i)},_constrain:function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var t,e,r,n,i,o,s,l,u=this.size,c=this._unmodified;this.latRange&&(t=this.latY(this.latRange[1]),e=this.latY(this.latRange[0]),i=e-t<u.y?u.y/(e-t):0),this.lngRange&&(r=this.lngX(this.lngRange[0]),n=this.lngX(this.lngRange[1]),o=n-r<u.x?u.x/(n-r):0);var h=Math.max(o||0,i||0);if(h)return this.center=this.unproject(new a(o?(n+r)/2:this.x,i?(e+t)/2:this.y)),this.zoom+=this.scaleZoom(h),this._unmodified=c,void(this._constraining=!1);if(this.latRange){var f=this.y,d=u.y/2;f-d<t&&(l=t+d),f+d>e&&(l=e-d)}if(this.lngRange){var p=this.x,m=u.x/2;p-m<r&&(s=r+m),p+m>n&&(s=n-m)}void 0===s&&void 0===l||(this.center=this.unproject(new a(void 0!==s?s:this.x,void 0!==l?l:this.y))),this._unmodified=c,this._constraining=!1}},_calcMatrices:function(){if(this.height){var t=Math.atan(.5/this.altitude),e=Math.sin(t)*this.altitude/Math.sin(Math.PI/2-this._pitch-t),r=Math.cos(Math.PI/2-this._pitch)*e+this.altitude,n=new Float64Array(16);if(d.perspective(n,2*Math.atan(this.height/2/this.altitude),this.width/this.height,.1,r),d.translate(n,n,[0,0,-this.altitude]),d.scale(n,n,[1,-1,1/this.height]),d.rotateX(n,n,this._pitch),d.rotateZ(n,n,this.angle),d.translate(n,n,[-this.x,-this.y,0]),this.projMatrix=n,n=d.create(),d.scale(n,n,[this.width/2,-this.height/2,1]),d.translate(n,n,[1,-1,0]),this.pixelMatrix=d.multiply(new Float64Array(16),n,this.projMatrix),!(n=d.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=n}}}},{\"../data/bucket\":311,\"../source/tile_coord\":351,\"../util/interpolate\":418,\"../util/util\":424,\"./coordinate\":320,\"./lng_lat\":321,\"gl-matrix\":177,\"point-geometry\":465}],324:[function(t,e,r){\"use strict\";var n={\" 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a,o,s,l,u,c,h,f,d=[];for(a=0,o=t.length;a<o;a++)if(u=n[t[a]]){for(f=null,s=0,l=u[1].length;s<l;s+=2)u[1][s]===-1&&u[1][s+1]===-1?f=null:(c=e+u[1][s]*i,h=r-u[1][s+1]*i,f&&d.push(f.x,f.y,c,h),f={x:c,y:h});e+=u[0]*i}return d}},{}],325:[function(t,e,r){\"use strict\";var n=e.exports={};n.version=t(\"../package.json\").version,n.Map=t(\"./ui/map\"),n.Control=t(\"./ui/control/control\"),n.Navigation=t(\"./ui/control/navigation\"),n.Geolocate=t(\"./ui/control/geolocate\"),n.Attribution=t(\"./ui/control/attribution\"),n.Popup=t(\"./ui/popup\"),n.Marker=t(\"./ui/marker\"),n.Style=t(\"./style/style\"),n.LngLat=t(\"./geo/lng_lat\"),n.LngLatBounds=t(\"./geo/lng_lat_bounds\"),n.Point=t(\"point-geometry\"),n.Evented=t(\"./util/evented\"),n.util=t(\"./util/util\"),n.supported=t(\"./util/browser\").supported;var i=t(\"./util/ajax\");n.util.getJSON=i.getJSON,n.util.getArrayBuffer=i.getArrayBuffer;var a=t(\"./util/config\");n.config=a,Object.defineProperty(n,\"accessToken\",{get:function(){return a.ACCESS_TOKEN},set:function(t){a.ACCESS_TOKEN=t}})},{\"../package.json\":426,\"./geo/lng_lat\":321,\"./geo/lng_lat_bounds\":322,\"./style/style\":360,\"./ui/control/attribution\":391,\"./ui/control/control\":392,\"./ui/control/geolocate\":393,\"./ui/control/navigation\":394,\"./ui/map\":403,\"./ui/marker\":404,\"./ui/popup\":405,\"./util/ajax\":407,\"./util/browser\":408,\"./util/config\":413,\"./util/evented\":416,\"./util/util\":424,\"point-geometry\":465}],326:[function(t,e,r){\"use strict\";var n=t(\"assert\");e.exports=function(t){for(var e={define:{},initialize:{}},r=0;r<t.length;r++){var i=t[r];n(\"u_\"===i.name.slice(0,2))\n",
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n,s=t.gl,l=t.transform,u=r.paint[\"background-color\"],c=r.paint[\"background-pattern\"],h=r.paint[\"background-opacity\"],f=c?t.spriteAtlas.getPosition(c.from,!0):null,d=c?t.spriteAtlas.getPosition(c.to,!0):null;if(t.setDepthSublayer(0),f&&d){if(t.isOpaquePass)return;n=t.useProgram(\"pattern\"),s.uniform1i(n.u_image,0),s.uniform2fv(n.u_pattern_tl_a,f.tl),s.uniform2fv(n.u_pattern_br_a,f.br),s.uniform2fv(n.u_pattern_tl_b,d.tl),s.uniform2fv(n.u_pattern_br_b,d.br),s.uniform1f(n.u_opacity,h),s.uniform1f(n.u_mix,c.t),s.uniform2fv(n.u_pattern_size_a,f.size),s.uniform2fv(n.u_pattern_size_b,d.size),s.uniform1f(n.u_scale_a,c.fromScale),s.uniform1f(n.u_scale_b,c.toScale),s.activeTexture(s.TEXTURE0),t.spriteAtlas.bind(s,!0),t.tileExtentPatternVAO.bind(s,n,t.tileExtentBuffer)}else{if(t.isOpaquePass!==(1===u[3]))return;var p=a([{name:\"u_color\",components:4},{name:\"u_opacity\",components:1}]);n=t.useProgram(\"fill\",[],p,p),s.uniform4fv(n.u_color,u),s.uniform1f(n.u_opacity,h),t.tileExtentVAO.bind(s,n,t.tileExtentBuffer)}s.disable(s.STENCIL_TEST);for(var m=l.coveringTiles({tileSize:o}),g=0;g<m.length;g++){var v=m[g];if(f&&d){var y={coord:v,tileSize:o};s.uniform1f(n.u_tile_units_to_pixels,1/i(y,1,t.transform.tileZoom));var b=y.tileSize*Math.pow(2,t.transform.tileZoom-y.coord.z),x=b*(y.coord.x+v.w*Math.pow(2,y.coord.z)),_=b*y.coord.y;s.uniform2f(n.u_pixel_coord_upper,x>>16,_>>16),s.uniform2f(n.u_pixel_coord_lower,65535&x,65535&_)}s.uniformMatrix4fv(n.u_matrix,!1,t.transform.calculatePosMatrix(v)),s.drawArrays(s.TRIANGLE_STRIP,0,t.tileExtentBuffer.length)}s.stencilMask(0),s.stencilFunc(s.EQUAL,128,128)}var i=t(\"../source/pixels_to_tile_units\"),a=t(\"./create_uniform_pragmas\"),o=512;e.exports=n},{\"../source/pixels_to_tile_units\":345,\"./create_uniform_pragmas\":326}],328:[function(t,e,r){\"use strict\";function n(t,e,r,n){if(!t.isOpaquePass){var a=t.gl;t.setDepthSublayer(0),t.depthMask(!1),a.disable(a.STENCIL_TEST);for(var o=0;o<n.length;o++){var s=n[o],l=e.getTile(s),u=l.getBucket(r);if(u){var c=u.bufferGroups.circle;if(c){var h=u.paintAttributes.circle[r.id],f=t.useProgram(\"circle\",h.defines,h.vertexPragmas,h.fragmentPragmas);\"map\"===r.paint[\"circle-pitch-scale\"]?(a.uniform1i(f.u_scale_with_map,!0),a.uniform2f(f.u_extrude_scale,t.transform.pixelsToGLUnits[0]*t.transform.altitude,t.transform.pixelsToGLUnits[1]*t.transform.altitude)):(a.uniform1i(f.u_scale_with_map,!1),a.uniform2fv(f.u_extrude_scale,t.transform.pixelsToGLUnits)),a.uniform1f(f.u_devicepixelratio,i.devicePixelRatio),a.uniformMatrix4fv(f.u_matrix,!1,t.translatePosMatrix(s.posMatrix,l,r.paint[\"circle-translate\"],r.paint[\"circle-translate-anchor\"])),u.setUniforms(a,\"circle\",f,r,{zoom:t.transform.zoom});for(var d=0;d<c.length;d++){var p=c[d];p.vaos[r.id].bind(a,f,p.layoutVertexBuffer,p.elementBuffer,p.paintVertexBuffers[r.id]),a.drawElements(a.TRIANGLES,3*p.elementBuffer.length,a.UNSIGNED_SHORT,0)}}}}}}var i=t(\"../util/browser\");e.exports=n},{\"../util/browser\":408}],329:[function(t,e,r){\"use strict\";function n(t,e,r,n){var i=t.gl;i.enable(i.STENCIL_TEST);for(var a=t.useProgram(\"collisionbox\"),o=0;o<n.length;o++){var s=n[o],l=e.getTile(s),u=l.getBucket(r);if(u){var c=u.bufferGroups.collisionBox;if(c&&c.length){var h=c[0];0!==h.layoutVertexBuffer.length&&(i.uniformMatrix4fv(a.u_matrix,!1,s.posMatrix),t.enableTileClippingMask(s),t.lineWidth(1),i.uniform1f(a.u_scale,Math.pow(2,t.transform.zoom-l.coord.z)),i.uniform1f(a.u_zoom,10*t.transform.zoom),i.uniform1f(a.u_maxzoom,10*(l.coord.z+1)),h.vaos[r.id].bind(i,a,h.layoutVertexBuffer),i.drawArrays(i.LINES,0,h.layoutVertexBuffer.length))}}}}e.exports=n},{}],330:[function(t,e,r){\"use strict\";function n(t,e,r){if(!t.isOpaquePass&&t.options.debug)for(var n=0;n<r.length;n++)i(t,e,r[n])}function i(t,e,r){var n=t.gl;n.disable(n.STENCIL_TEST),t.lineWidth(1*o.devicePixelRatio);var i=r.posMatrix,h=t.useProgram(\"debug\");n.uniformMatrix4fv(h.u_matrix,!1,i),n.uniform4f(h.u_color,1,0,0,1),t.debugVAO.bind(n,h,t.debugBuffer),n.drawArrays(n.LINE_STRIP,0,t.debugBuffer.length);for(var f=a(r.toString(),50,200,5),d=new t.PosArray,p=0;p<f.length;p+=2)d.emplaceBack(f[p],f[p+1]);var m=new u(d.serialize(),t.PosArray.serialize(),u.BufferType.VERTEX);(new c).bind(n,h,m),n.uniform4f(h.u_color,1,1,1,1);for(var g=e.getTile(r).tileSize,v=l/(Math.pow(2,t.transform.zoom-r.z)*g),y=[[-1,-1],[-1,1],[1,-1],[1,1]],b=0;b<y.length;b++){var x=y[b];n.uniformMatrix4fv(h.u_matrix,!1,s.translate([],i,[v*x[0],v*x[1],0])),n.drawArrays(n.LINES,0,m.length)}n.uniform4f(h.u_color,0,0,0,1),n.uniformMatrix4fv(h.u_matrix,!1,i),n.drawArrays(n.LINES,0,m.length)}var a=t(\"../lib/debugtext\"),o=t(\"../util/browser\"),s=t(\"gl-matrix\").mat4,l=t(\"../data/bucket\").EXTENT,u=t(\"../data/buffer\"),c=t(\"./vertex_array_object\");e.exports=n},{\"../data/bucket\":311,\"../data/buffer\":316,\"../lib/debugtext\":324,\"../util/browser\":408,\"./vertex_array_object\":339,\"gl-matrix\":177}],331:[function(t,e,r){\"use strict\";function n(t,e,r,n){var o=t.gl;o.enable(o.STENCIL_TEST);var s;if(s=!r.paint[\"fill-pattern\"]&&(r.isPaintValueFeatureConstant(\"fill-color\")&&r.isPaintValueFeatureConstant(\"fill-opacity\")&&1===r.paint[\"fill-color\"][3]&&1===r.paint[\"fill-opacity\"]),t.isOpaquePass===s){t.setDepthSublayer(1);for(var l=0;l<n.length;l++)i(t,e,r,n[l])}if(!t.isOpaquePass&&r.paint[\"fill-antialias\"]){t.lineWidth(2),t.depthMask(!1);var u=r.getPaintProperty(\"fill-outline-color\");(u||!r.paint[\"fill-pattern\"])&&u?t.setDepthSublayer(2):t.setDepthSublayer(0);for(var c=0;c<n.length;c++)a(t,e,r,n[c])}}function i(t,e,r,n){var i=e.getTile(n),a=i.getBucket(r);if(a){var s=a.bufferGroups.fill;if(s){var l,u=t.gl,c=r.paint[\"fill-pattern\"];if(c)l=t.useProgram(\"pattern\"),o(c,r.paint[\"fill-opacity\"],i,n,t,l),u.activeTexture(u.TEXTURE0),t.spriteAtlas.bind(u,!0);else{var h=a.paintAttributes.fill[r.id];l=t.useProgram(\"fill\",h.defines,h.vertexPragmas,h.fragmentPragmas),a.setUniforms(u,\"fill\",l,r,{zoom:t.transform.zoom})}u.uniformMatrix4fv(l.u_matrix,!1,t.translatePosMatrix(n.posMatrix,i,r.paint[\"fill-translate\"],r.paint[\"fill-translate-anchor\"])),t.enableTileClippingMask(n);for(var f=0;f<s.length;f++){var d=s[f];d.vaos[r.id].bind(u,l,d.layoutVertexBuffer,d.elementBuffer,d.paintVertexBuffers[r.id]),u.drawElements(u.TRIANGLES,d.elementBuffer.length,u.UNSIGNED_SHORT,0)}}}}function a(t,e,r,n){var i=e.getTile(n),a=i.getBucket(r);if(a){var s,l=t.gl,u=a.bufferGroups.fill,c=r.paint[\"fill-pattern\"],h=r.paint[\"fill-opacity\"],f=r.getPaintProperty(\"fill-outline-color\");if(c&&!f)s=t.useProgram(\"outlinepattern\"),l.uniform2f(s.u_world,l.drawingBufferWidth,l.drawingBufferHeight);else{var d=a.paintAttributes.fill[r.id];s=t.useProgram(\"outline\",d.defines,d.vertexPragmas,d.fragmentPragmas),l.uniform2f(s.u_world,l.drawingBufferWidth,l.drawingBufferHeight),l.uniform1f(s.u_opacity,h),a.setUniforms(l,\"fill\",s,r,{zoom:t.transform.zoom})}l.uniformMatrix4fv(s.u_matrix,!1,t.translatePosMatrix(n.posMatrix,i,r.paint[\"fill-translate\"],r.paint[\"fill-translate-anchor\"])),c&&o(c,h,i,n,t,s),t.enableTileClippingMask(n);for(var p=0;p<u.length;p++){var m=u[p];m.secondVaos[r.id].bind(l,s,m.layoutVertexBuffer,m.elementBuffer2,m.paintVertexBuffers[r.id]),l.drawElements(l.LINES,2*m.elementBuffer2.length,l.UNSIGNED_SHORT,0)}}}function o(t,e,r,n,i,a){var o=i.gl,l=i.spriteAtlas.getPosition(t.from,!0),u=i.spriteAtlas.getPosition(t.to,!0);if(l&&u){o.uniform1i(a.u_image,0),o.uniform2fv(a.u_pattern_tl_a,l.tl),o.uniform2fv(a.u_pattern_br_a,l.br),o.uniform2fv(a.u_pattern_tl_b,u.tl),o.uniform2fv(a.u_pattern_br_b,u.br),o.uniform1f(a.u_opacity,e),o.uniform1f(a.u_mix,t.t),o.uniform1f(a.u_tile_units_to_pixels,1/s(r,1,i.transform.tileZoom)),o.uniform2fv(a.u_pattern_size_a,l.size),o.uniform2fv(a.u_pattern_size_b,u.size),o.uniform1f(a.u_scale_a,t.fromScale),o.uniform1f(a.u_scale_b,t.toScale);var c=r.tileSize*Math.pow(2,i.transform.tileZoom-r.coord.z),h=c*(r.coord.x+n.w*Math.pow(2,r.coord.z)),f=c*r.coord.y;o.uniform2f(a.u_pixel_coord_upper,h>>16,f>>16),o.uniform2f(a.u_pixel_coord_lower,65535&h,65535&f),o.activeTexture(o.TEXTURE0),i.spriteAtlas.bind(o,!0)}}var s=t(\"../source/pixels_to_tile_units\");e.exports=n},{\"../source/pixels_to_tile_units\":345}],332:[function(t,e,r){\"use strict\";var n=t(\"../util/browser\"),i=t(\"gl-matrix\").mat2,a=t(\"../source/pixels_to_tile_units\");e.exports=function(t,e,r,o){if(!t.isOpaquePass){t.setDepthSublayer(0),t.depthMask(!1);var s=t.gl;if(s.enable(s.STENCIL_TEST),!(r.paint[\"line-width\"]<=0)){var l=1/n.devicePixelRatio,u=r.paint[\"line-blur\"]+l,c=r.paint[\"line-color\"],h=t.transform,f=i.create();i.scale(f,f,[1,Math.cos(h._pitch)]),i.rotate(f,f,t.transform.angle);var d,p,m,g,v,y=Math.sqrt(h.height*h.height/4*(1+h.altitude*h.altitude)),b=h.height/2*Math.tan(h._pitch),x=(y+b)/y-1,_=r.paint[\"line-dasharray\"],w=r.paint[\"line-pattern\"];if(_)d=t.useProgram(\"linesdfpattern\"),s.uniform1f(d.u_linewidth,r.paint[\"line-width\"]/2),s.uniform1f(d.u_gapwidth,r.paint[\"line-gap-width\"]/2),s.uniform1f(d.u_antialiasing,l/2),s.uniform1f(d.u_blur,u),s.uniform4fv(d.u_color,c),s.uniform1f(d.u_opacity,r.paint[\"line-opacity\"]),p=t.lineAtlas.getDash(_.from,\"round\"===r.layout[\"line-cap\"]),m=t.lineAtlas.getDash(_.to,\"round\"===r.layout[\"line-cap\"]),s.uniform1i(d.u_image,0),s.activeTexture(s.TEXTURE0),t.lineAtlas.bind(s),s.uniform1f(d.u_tex_y_a,p.y),s.uniform1f(d.u_tex_y_b,m.y),s.uniform1f(d.u_mix,_.t),s.uniform1f(d.u_extra,x),s.uniform1f(d.u_offset,-r.paint[\"line-offset\"]),s.uniformMatrix2fv(d.u_antialiasingmatrix,!1,f);else if(w){if(g=t.spriteAtlas.getPosition(w.from,!0),v=t.spriteAtlas.getPosition(w.to,!0),!g||!v)return;d=t.useProgram(\"linepattern\"),s.uniform1i(d.u_image,0),s.activeTexture(s.TEXTURE0),t.spriteAtlas.bind(s,!0),s.uniform1f(d.u_linewidth,r.paint[\"line-width\"]/2),s.uniform1f(d.u_gapwidth,r.paint[\"line-gap-width\"]/2),s.uniform1f(d.u_antialiasing,l/2),s.uniform1f(d.u_blur,u),s.uniform2fv(d.u_pattern_tl_a,g.tl),s.uniform2fv(d.u_pattern_br_a,g.br),s.uniform2fv(d.u_pattern_tl_b,v.tl),s.uniform2fv(d.u_pattern_br_b,v.br),s.uniform1f(d.u_fade,w.t),s.uniform1f(d.u_opacity,r.paint[\"line-opacity\"]),s.uniform1f(d.u_extra,x),s.uniform1f(d.u_offset,-r.paint[\"line-offset\"]),s.uniformMatrix2fv(d.u_antialiasingmatrix,!1,f)}else d=t.useProgram(\"line\"),s.uniform1f(d.u_linewidth,r.paint[\"line-width\"]/2),s.uniform1f(d.u_gapwidth,r.paint[\"line-gap-width\"]/2),s.uniform1f(d.u_antialiasing,l/2),s.uniform1f(d.u_blur,u),s.uniform1f(d.u_extra,x),s.uniform1f(d.u_offset,-r.paint[\"line-offset\"]),s.uniformMatrix2fv(d.u_antialiasingmatrix,!1,f),s.uniform4fv(d.u_color,c),s.uniform1f(d.u_opacity,r.paint[\"line-opacity\"]);for(var M=0;M<o.length;M++){var k=o[M],A=e.getTile(k),T=A.getBucket(r);if(T){var S=T.bufferGroups.line;if(S){t.enableTileClippingMask(k);var E=t.translatePosMatrix(k.posMatrix,A,r.paint[\"line-translate\"],r.paint[\"line-translate-anchor\"]);s.uniformMatrix4fv(d.u_matrix,!1,E);var L=1/a(A,1,t.transform.zoom);if(_){var C=p.width*_.fromScale,z=m.width*_.toScale,D=[1/a(A,C,t.transform.tileZoom),-p.height/2],I=[1/a(A,z,t.transform.tileZoom),-m.height/2],P=t.lineAtlas.width/(256*Math.min(C,z)*n.devicePixelRatio)/2;s.uniform1f(d.u_ratio,L),s.uniform2fv(d.u_patternscale_a,D),s.uniform2fv(d.u_patternscale_b,I),s.uniform1f(d.u_sdfgamma,P)}else w?(s.uniform1f(d.u_ratio,L),s.uniform2fv(d.u_pattern_size_a,[a(A,g.size[0]*w.fromScale,t.transform.tileZoom),v.size[1]]),s.uniform2fv(d.u_pattern_size_b,[a(A,v.size[0]*w.toScale,t.transform.tileZoom),v.size[1]])):s.uniform1f(d.u_ratio,L);for(var O=0;O<S.length;O++){var j=S[O];j.vaos[r.id].bind(s,d,j.layoutVertexBuffer,j.elementBuffer),s.drawElements(s.TRIANGLES,3*j.elementBuffer.length,s.UNSIGNED_SHORT,0)}}}}}}}},{\"../source/pixels_to_tile_units\":345,\"../util/browser\":408,\"gl-matrix\":177}],333:[function(t,e,r){\"use strict\";function n(t,e,r,n){if(!t.isOpaquePass){var a=t.gl;a.enable(a.DEPTH_TEST),t.depthMask(!0),a.depthFunc(a.LESS);for(var o=n.length&&n[0].z,s=0;s<n.length;s++){var l=n[s];t.setDepthSublayer(l.z-o),i(t,e,r,l)}a.depthFunc(a.LEQUAL)}}function i(t,e,r,n){var i=t.gl;i.disable(i.STENCIL_TEST);var u=e.getTile(n),c=t.transform.calculatePosMatrix(n,e.maxzoom),h=t.useProgram(\"raster\");i.uniformMatrix4fv(h.u_matrix,!1,c),i.uniform1f(h.u_brightness_low,r.paint[\"raster-brightness-min\"]),i.uniform1f(h.u_brightness_high,r.paint[\"raster-brightness-max\"]),i.uniform1f(h.u_saturation_factor,s(r.paint[\"raster-saturation\"])),i.uniform1f(h.u_contrast_factor,o(r.paint[\"raster-contrast\"])),i.uniform3fv(h.u_spin_weights,a(r.paint[\"raster-hue-rotate\"]));var f,d,p=u.source&&u.source.findLoadedParent(n,0,{}),m=l(u,p,r,t.transform);i.activeTexture(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,u.texture),i.activeTexture(i.TEXTURE1),p?(i.bindTexture(i.TEXTURE_2D,p.texture),f=Math.pow(2,p.coord.z-u.coord.z),d=[u.coord.x*f%1,u.coord.y*f%1]):(i.bindTexture(i.TEXTURE_2D,u.texture),m[1]=0),i.uniform2fv(h.u_tl_parent,d||[0,0]),i.uniform1f(h.u_scale_parent,f||1),i.uniform1f(h.u_buffer_scale,1),i.uniform1f(h.u_opacity0,m[0]),i.uniform1f(h.u_opacity1,m[1]),i.uniform1i(h.u_image0,0),i.uniform1i(h.u_image1,1);var g=u.boundsBuffer||t.rasterBoundsBuffer;(u.boundsVAO||t.rasterBoundsVAO).bind(i,h,g),i.drawArrays(i.TRIANGLE_STRIP,0,g.length)}function a(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}function o(t){return t>0?1/(1-t):1+t}function s(t){return t>0?1-1/(1.001-t):-t}function l(t,e,r,n){var i=[1,0],a=r.paint[\"raster-fade-duration\"];if(t.source&&a>0){var o=(new Date).getTime(),s=(o-t.timeAdded)/a,l=e?(o-e.timeAdded)/a:-1,c=n.coveringZoomLevel(t.source),h=!!e&&Math.abs(e.coord.z-c)>Math.abs(t.coord.z-c);!e||h?(i[0]=u.clamp(s,0,1),i[1]=1-i[0]):(i[0]=u.clamp(1-l,0,1),i[1]=1-i[0])}var f=r.paint[\"raster-opacity\"];return i[0]*=f,i[1]*=f,i}var u=t(\"../util/util\"),c=t(\"../util/struct_array\");e.exports=n,n.RasterBoundsArray=new c({members:[{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]})},{\"../util/struct_array\":422,\"../util/util\":424}],334:[function(t,e,r){\"use strict\";function n(t,e,r,n){if(!t.isOpaquePass){var a=!(r.layout[\"text-allow-overlap\"]||r.layout[\"icon-allow-overlap\"]||r.layout[\"text-ignore-placement\"]||r.layout[\"icon-ignore-placement\"]),o=t.gl;a?o.disable(o.STENCIL_TEST):o.enable(o.STENCIL_TEST),t.setDepthSublayer(0),t.depthMask(!1),o.disable(o.DEPTH_TEST),i(t,e,r,n,!1,r.paint[\"icon-translate\"],r.paint[\"icon-translate-anchor\"],r.layout[\"icon-rotation-alignment\"],r.layout[\"icon-rotation-alignment\"],r.layout[\"icon-size\"],r.paint[\"icon-halo-width\"],r.paint[\"icon-halo-color\"],r.paint[\"icon-halo-blur\"],r.paint[\"icon-opacity\"],r.paint[\"icon-color\"]),i(t,e,r,n,!0,r.paint[\"text-translate\"],r.paint[\"text-translate-anchor\"],r.layout[\"text-rotation-alignment\"],r.layout[\"text-pitch-alignment\"],r.layout[\"text-size\"],r.paint[\"text-halo-width\"],r.paint[\"text-halo-color\"],r.paint[\"text-halo-blur\"],r.paint[\"text-opacity\"],r.paint[\"text-color\"]),o.enable(o.DEPTH_TEST),e.map.showCollisionBoxes&&s(t,e,r,n)}}function i(t,e,r,n,i,o,s,l,u,c,h,f,d,p,m){for(var g=0;g<n.length;g++){var v=e.getTile(n[g]),y=v.getBucket(r);if(y){var b=y.bufferGroups,x=i?b.glyph:b.icon;x.length&&(t.enableTileClippingMask(n[g]),a(t,r,n[g].posMatrix,v,y,x,i,i||y.sdfIcons,!i&&y.iconsNeedLinear,i?y.adjustedTextSize:y.adjustedIconSize,y.fontstack,o,s,l,u,c,h,f,d,p,m))}}}function a(t,e,r,n,i,a,s,u,c,h,f,d,p,m,g,v,y,b,x,_,w){var M,k,A,T=t.gl,S=t.transform,E=\"map\"===m,L=\"map\"===g,C=s?24:1,z=v/C;if(L?(k=l(n,1,t.transform.zoom)*z,A=1/Math.cos(S._pitch),M=[k,k]):(k=t.transform.altitude*z,A=1,M=[S.pixelsToGLUnits[0]*k,S.pixelsToGLUnits[1]*k]),s||t.style.sprite.loaded()){var D=t.useProgram(u?\"sdf\":\"icon\");if(T.uniformMatrix4fv(D.u_matrix,!1,t.translatePosMatrix(r,n,d,p)),T.uniform1i(D.u_rotate_with_map,E),T.uniform1i(D.u_pitch_with_map,L),T.uniform2fv(D.u_extrude_scale,M),T.activeTexture(T.TEXTURE0),T.uniform1i(D.u_texture,0),s){var I=f&&t.glyphSource.getGlyphAtlas(f);if(!I)return;I.updateTexture(T),T.uniform2f(D.u_texsize,I.width/4,I.height/4)}else{var P=t.options.rotating||t.options.zooming,O=1!==z||o.devicePixelRatio!==t.spriteAtlas.pixelRatio||c,j=L||t.transform.pitch;t.spriteAtlas.bind(T,u||P||O||j),T.uniform2f(D.u_texsize,t.spriteAtlas.width/4,t.spriteAtlas.height/4)}var R=Math.log(v/h)/Math.LN2||0;T.uniform1f(D.u_zoom,10*(t.transform.zoom-R)),T.activeTexture(T.TEXTURE1),t.frameHistory.bind(T),T.uniform1i(D.u_fadetexture,1);var F;if(u){var N=.105*C/v/o.devicePixelRatio;if(y){T.uniform1f(D.u_gamma,(1.19*x/z/8+N)*A),T.uniform4fv(D.u_color,b),T.uniform1f(D.u_opacity,_),T.uniform1f(D.u_buffer,(6-y/z)/8);for(var B=0;B<a.length;B++)F=a[B],F.vaos[e.id].bind(T,D,F.layoutVertexBuffer,F.elementBuffer),T.drawElements(T.TRIANGLES,3*F.elementBuffer.length,T.UNSIGNED_SHORT,0)}T.uniform1f(D.u_gamma,N*A),T.uniform4fv(D.u_color,w),T.uniform1f(D.u_opacity,_),T.uniform1f(D.u_buffer,.75),T.uniform1f(D.u_pitch,S.pitch/360*2*Math.PI),T.uniform1f(D.u_bearing,S.bearing/360*2*Math.PI),T.uniform1f(D.u_aspect_ratio,S.width/S.height);for(var U=0;U<a.length;U++)F=a[U],F.vaos[e.id].bind(T,D,F.layoutVertexBuffer,F.elementBuffer),T.drawElements(T.TRIANGLES,3*F.elementBuffer.length,T.UNSIGNED_SHORT,0)}else{T.uniform1f(D.u_opacity,_);for(var V=0;V<a.length;V++)F=a[V],F.vaos[e.id].bind(T,D,F.layoutVertexBuffer,F.elementBuffer),T.drawElements(T.TRIANGLES,3*F.elementBuffer.length,T.UNSIGNED_SHORT,0)}}}var o=t(\"../util/browser\"),s=t(\"./draw_collision_debug\"),l=t(\"../source/pixels_to_tile_units\");e.exports=n},{\"../source/pixels_to_tile_units\":345,\"../util/browser\":408,\"./draw_collision_debug\":329}],335:[function(t,e,r){\"use strict\";function n(){this.changeTimes=new Float64Array(256),this.changeOpacities=new Uint8Array(256),this.opacities=new Uint8ClampedArray(256),this.array=new Uint8Array(this.opacities.buffer),this.fadeDuration=300,this.previousZoom=0,this.firstFrame=!0}e.exports=n,n.prototype.record=function(t){var e=Date.now();this.firstFrame&&(e=0,this.firstFrame=!1),t=Math.floor(10*t);var r;if(t<this.previousZoom)for(r=t+1;r<=this.previousZoom;r++)this.changeTimes[r]=e,this.changeOpacities[r]=this.opacities[r];else for(r=t;r>this.previousZoom;r--)this.changeTimes[r]=e,this.changeOpacities[r]=this.opacities[r];for(r=0;r<256;r++){var n=e-this.changeTimes[r],i=n/this.fadeDuration*255;this.opacities[r]=r<=t?this.changeOpacities[r]+i:this.changeOpacities[r]-i}this.changed=!0,this.previousZoom=t},n.prototype.bind=function(t){this.texture?(t.bindTexture(t.TEXTURE_2D,this.texture),this.changed&&(t.texSubImage2D(t.TEXTURE_2D,0,0,0,256,1,t.ALPHA,t.UNSIGNED_BYTE,this.array),this.changed=!1)):(this.texture=t.createTexture(),t.bindTexture(t.TEXTURE_2D,this.texture),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texImage2D(t.TEXTURE_2D,0,t.ALPHA,256,1,0,t.ALPHA,t.UNSIGNED_BYTE,this.array))}},{}],336:[function(t,e,r){\"use strict\";function n(t,e){this.width=t,this.height=e,this.nextRow=0,this.bytes=4,this.data=new Uint8Array(this.width*this.height*this.bytes),this.positions={}}var i=t(\"../util/util\");e.exports=n,n.prototype.setSprite=function(t){this.sprite=t},n.prototype.getDash=function(t,e){var r=t.join(\",\")+e;return this.positions[r]||(this.positions[r]=this.addDash(t,e)),this.positions[r]},n.prototype.addDash=function(t,e){var r=e?7:0,n=2*r+1;if(this.nextRow+n>this.height)return i.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<t.length;o++)a+=t[o];for(var s=this.width/a,l=s/2,u=t.length%2==1,c=-r;c<=r;c++)for(var h=this.nextRow+r+c,f=this.width*h,d=u?-t[t.length-1]:0,p=t[0],m=1,g=0;g<this.width;g++){for(;p<g/s;)d=p,p+=t[m],u&&m===t.length-1&&(p+=t[0]),m++;var v,y=Math.abs(g-d*s),b=Math.abs(g-p*s),x=Math.min(y,b),_=m%2==1;if(e){var w=r?c/r*(l+1):0;if(_){var M=l-Math.abs(w);v=Math.sqrt(x*x+M*M)}else v=l-Math.sqrt(x*x+w*w)}else v=(_?1:-1)*x;this.data[3+4*(f+g)]=Math.max(0,Math.min(255,v+128))}var k={y:(this.nextRow+r+.5)/this.height,height:2*r/this.height,width:a};return this.nextRow+=n,this.dirty=!0,k},n.prototype.bind=function(t){this.texture?(t.bindTexture(t.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,t.texSubImage2D(t.TEXTURE_2D,0,0,0,this.width,this.height,t.RGBA,t.UNSIGNED_BYTE,this.data))):(this.texture=t.createTexture(),t.bindTexture(t.TEXTURE_2D,this.texture),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.REPEAT),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.REPEAT),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.LINEAR),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.LINEAR),t.texImage2D(t.TEXTURE_2D,0,t.RGBA,this.width,this.height,0,t.RGBA,t.UNSIGNED_BYTE,this.data))}},{\"../util/util\":424}],337:[function(t,e,r){\"use strict\";function n(t,e){this.gl=t,this.transform=e,this.reusableTextures={},this.preFbos={},this.frameHistory=new o,this.setup(),this.numSublayers=s.maxUnderzooming+s.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.lineWidthRange=t.getParameter(t.ALIASED_LINE_WIDTH_RANGE)}var i=t(\"../util/browser\"),a=t(\"gl-matrix\").mat4,o=t(\"./frame_history\"),s=t(\"../source/source_cache\"),l=t(\"../data/bucket\").EXTENT,u=t(\"../source/pixels_to_tile_units\"),c=t(\"../util/util\"),h=t(\"../util/struct_array\"),f=t(\"../data/buffer\"),d=t(\"./vertex_array_object\"),p=t(\"./draw_raster\").RasterBoundsArray,m=t(\"./create_uniform_pragmas\");e.exports=n,c.extend(n.prototype,t(\"./painter/use_program\")),n.prototype.resize=function(t,e){var r=this.gl;this.width=t*i.devicePixelRatio,this.height=e*i.devicePixelRatio,r.viewport(0,0,this.width,this.height)},n.prototype.setup=function(){var t=this.gl;t.verbose=!0,t.enable(t.BLEND),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),t.enable(t.STENCIL_TEST),t.enable(t.DEPTH_TEST),t.depthFunc(t.LEQUAL),this._depthMask=!1,t.depthMask(!1);var e=this.PosArray=new h({members:[{name:\"a_pos\",type:\"Int16\",components:2}]}),r=new e;r.emplaceBack(0,0),r.emplaceBack(l,0),r.emplaceBack(0,l),r.emplaceBack(l,l),this.tileExtentBuffer=new f(r.serialize(),e.serialize(),f.BufferType.VERTEX),this.tileExtentVAO=new d,this.tileExtentPatternVAO=new d;var n=new e;n.emplaceBack(0,0),n.emplaceBack(l,0),n.emplaceBack(l,l),n.emplaceBack(0,l),n.emplaceBack(0,0),this.debugBuffer=new f(n.serialize(),e.serialize(),f.BufferType.VERTEX),this.debugVAO=new d;var i=new p;i.emplaceBack(0,0,0,0),i.emplaceBack(l,0,32767,0),i.emplaceBack(0,l,0,32767),i.emplaceBack(l,l,32767,32767),this.rasterBoundsBuffer=new f(i.serialize(),p.serialize(),f.BufferType.VERTEX),this.rasterBoundsVAO=new d},n.prototype.clearColor=function(){var t=this.gl;t.clearColor(0,0,0,0),t.clear(t.COLOR_BUFFER_BIT)},n.prototype.clearStencil=function(){var t=this.gl;t.clearStencil(0),t.stencilMask(255),t.clear(t.STENCIL_BUFFER_BIT)},n.prototype.clearDepth=function(){var t=this.gl;t.clearDepth(1),this.depthMask(!0),t.clear(t.DEPTH_BUFFER_BIT)},n.prototype._renderTileClippingMasks=function(t){var e=this.gl;e.colorMask(!1,!1,!1,!1),this.depthMask(!1),e.disable(e.DEPTH_TEST),e.enable(e.STENCIL_TEST),e.stencilMask(248),e.stencilOp(e.KEEP,e.KEEP,e.REPLACE);var r=1;this._tileClippingMaskIDs={};for(var n=0;n<t.length;n++){var i=t[n],a=this._tileClippingMaskIDs[i.id]=r++<<3;e.stencilFunc(e.ALWAYS,a,248);var o=m([{name:\"u_color\",components:4},{name:\"u_opacity\",components:1}]),s=this.useProgram(\"fill\",[],o,o);e.uniformMatrix4fv(s.u_matrix,!1,i.posMatrix),this.tileExtentVAO.bind(e,s,this.tileExtentBuffer),e.drawArrays(e.TRIANGLE_STRIP,0,this.tileExtentBuffer.length)}e.stencilMask(0),e.colorMask(!0,!0,!0,!0),this.depthMask(!0),e.enable(e.DEPTH_TEST)},n.prototype.enableTileClippingMask=function(t){var e=this.gl;e.stencilFunc(e.EQUAL,this._tileClippingMaskIDs[t.id],248)},n.prototype.prepareBuffers=function(){},n.prototype.bindDefaultFramebuffer=function(){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,null)};var g={symbol:t(\"./draw_symbol\"),circle:t(\"./draw_circle\"),line:t(\"./draw_line\"),fill:t(\"./draw_fill\"),raster:t(\"./draw_raster\"),background:t(\"./draw_background\"),debug:t(\"./draw_debug\")};n.prototype.render=function(t,e){this.style=t,this.options=e,this.lineAtlas=t.lineAtlas,this.spriteAtlas=t.spriteAtlas,this.spriteAtlas.setSprite(t.sprite),this.glyphSource=t.glyphSource,this.frameHistory.record(this.transform.zoom),this.prepareBuffers(),this.clearColor(),this.clearDepth(),this.showOverdrawInspector(e.showOverdrawInspector),this.depthRange=(t._order.length+2)*this.numSublayers*this.depthEpsilon,this.renderPass({isOpaquePass:!0}),this.renderPass({isOpaquePass:!1})},n.prototype.renderPass=function(t){var e=this.style._groups,r=t.isOpaquePass;this.currentLayer=r?this.style._order.length:-1;for(var n=0;n<e.length;n++){var i,a=e[r?e.length-1-n:n],o=this.style.sources[a.source],s=[];if(o){for(s=o.getVisibleCoordinates(),i=0;i<s.length;i++)s[i].posMatrix=this.transform.calculatePosMatrix(s[i],o.maxzoom);this.clearStencil(),o.prepare&&o.prepare(),o.isTileClipped&&this._renderTileClippingMasks(s)}for(r?(this._showOverdrawInspector||this.gl.disable(this.gl.BLEND),this.isOpaquePass=!0):(this.gl.enable(this.gl.BLEND),this.isOpaquePass=!1,s.reverse()),i=0;i<a.length;i++){var l=a[r?a.length-1-i:i];this.currentLayer+=r?-1:1,this.renderLayer(this,o,l,s)}o&&g.debug(this,o,s)}},n.prototype.depthMask=function(t){t!==this._depthMask&&(this._depthMask=t,this.gl.depthMask(t))},n.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||n.length)&&(this.id=r.id,g[r.type](t,e,r,n))},n.prototype.setDepthSublayer=function(t){var e=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon,r=e-1+this.depthRange;this.gl.depthRange(r,e)},n.prototype.translatePosMatrix=function(t,e,r,n){if(!r[0]&&!r[1])return t;if(\"viewport\"===n){var i=Math.sin(-this.transform.angle),o=Math.cos(-this.transform.angle);r=[r[0]*o-r[1]*i,r[0]*i+r[1]*o]}var s=[u(e,r[0],this.transform.zoom),u(e,r[1],this.transform.zoom),0],l=new Float32Array(16);return a.translate(l,t,s),l},n.prototype.saveTexture=function(t){var e=this.reusableTextures[t.size];e?e.push(t):this.reusableTextures[t.size]=[t]},n.prototype.getTexture=function(t){var e=this.reusableTextures[t];return e&&e.length>0?e.pop():null},n.prototype.lineWidth=function(t){this.gl.lineWidth(c.clamp(t,this.lineWidthRange[0],this.lineWidthRange[1]))},n.prototype.showOverdrawInspector=function(t){if(t||this._showOverdrawInspector){this._showOverdrawInspector=t;var e=this.gl;if(t){e.blendFunc(e.CONSTANT_COLOR,e.ONE);e.blendColor(1/8,1/8,1/8,0),e.clearColor(0,0,0,1),e.clear(e.COLOR_BUFFER_BIT)}else e.blendFunc(e.ONE,e.ONE_MINUS_SRC_ALPHA)}}},{\"../data/bucket\":311,\"../data/buffer\":316,\"../source/pixels_to_tile_units\":345,\"../source/source_cache\":349,\"../util/browser\":408,\"../util/struct_array\":422,\"../util/util\":424,\"./create_uniform_pragmas\":326,\"./draw_background\":327,\"./draw_circle\":328,\"./draw_debug\":330,\"./draw_fill\":331,\"./draw_line\":332,\"./draw_raster\":333,\"./draw_symbol\":334,\"./frame_history\":335,\"./painter/use_program\":338,\"./vertex_array_object\":339,\"gl-matrix\":177}],338:[function(t,e,r){\"use strict\";function n(t,e){return t.replace(/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,function(t,r,n,i,a){return e[r][a].replace(/{type}/g,i).replace(/{precision}/g,n)})}var i=t(\"assert\"),a=t(\"../../util/util\"),o=t(\"mapbox-gl-shaders\"),s=o.util;e.exports._createProgram=function(t,e,r,l){for(var u=this.gl,c=u.createProgram(),h=o[t],f=\"#define MAPBOX_GL_JS;\\n\",d=0;d<e.length;d++)f+=\"#define \"+e[d]+\";\\n\";var p=u.createShader(u.FRAGMENT_SHADER);u.shaderSource(p,n(f+h.fragmentSource,l)),u.compileShader(p),i(u.getShaderParameter(p,u.COMPILE_STATUS),u.getShaderInfoLog(p)),u.attachShader(c,p);var m=u.createShader(u.VERTEX_SHADER);u.shaderSource(m,n(f+s+h.vertexSource,r)),u.compileShader(m),i(u.getShaderParameter(m,u.COMPILE_STATUS),u.getShaderInfoLog(m)),u.attachShader(c,m),u.linkProgram(c),i(u.getProgramParameter(c,u.LINK_STATUS),u.getProgramInfoLog(c));for(var g={},v=u.getProgramParameter(c,u.ACTIVE_ATTRIBUTES),y=0;y<v;y++){var b=u.getActiveAttrib(c,y);g[b.name]=u.getAttribLocation(c,b.name)}for(var x={},_=u.getProgramParameter(c,u.ACTIVE_UNIFORMS),w=0;w<_;w++){var M=u.getActiveUniform(c,w);x[M.name]=u.getUniformLocation(c,M.name)}return a.extend({program:c,definition:h,attributes:g,numAttributes:v},g,x)},e.exports._createProgramCached=function(t,e,r,n){this.cache=this.cache||{};var i=JSON.stringify({name:t,defines:e,vertexPragmas:r,fragmentPragmas:n});return this.cache[i]||(this.cache[i]=this._createProgram(t,e,r,n)),this.cache[i]},e.exports.useProgram=function(t,e,r,n){var i=this.gl;e=e||[],this._showOverdrawInspector&&(e=e.concat(\"OVERDRAW_INSPECTOR\"));var a=this._createProgramCached(t,e,r,n);return this.currentProgram!==a&&(i.useProgram(a.program),this.currentProgram=a),a}},{\"../../util/util\":424,assert:40,\"mapbox-gl-shaders\":285}],339:[function(t,e,r){\"use strict\";function n(){this.boundProgram=null,this.boundVertexBuffer=null,this.boundVertexBuffer2=null,this.boundElementBuffer=null,this.vao=null}var i=t(\"assert\");e.exports=n,n.prototype.bind=function(t,e,r,n,i){void 0===t.extVertexArrayObject&&(t.extVertexArrayObject=t.getExtension(\"OES_vertex_array_object\"));var a=!this.vao||this.boundProgram!==e||this.boundVertexBuffer!==r||this.boundVertexBuffer2!==i||this.boundElementBuffer!==n;!t.extVertexArrayObject||a?this.freshBind(t,e,r,n,i):t.extVertexArrayObject.bindVertexArrayOES(this.vao)},n.prototype.freshBind=function(t,e,r,n,a){var o,s=e.numAttributes;if(t.extVertexArrayObject)this.vao&&this.destroy(t),this.vao=t.extVertexArrayObject.createVertexArrayOES(),t.extVertexArrayObject.bindVertexArrayOES(this.vao),o=0,this.boundProgram=e,this.boundVertexBuffer=r,this.boundVertexBuffer2=a,this.boundElementBuffer=n;else{o=t.currentNumAttributes||0;for(var l=s;l<o;l++)i(0!==l),t.disableVertexAttribArray(l)}for(var u=o;u<s;u++)t.enableVertexAttribArray(u);r.bind(t),r.setVertexAttribPointers(t,e),a&&(a.bind(t),a.setVertexAttribPointers(t,e)),n&&n.bind(t),t.currentNumAttributes=s},n.prototype.unbind=function(t){var e=t.extVertexArrayObject;e&&e.bindVertexArrayOES(null)},n.prototype.destroy=function(t){var e=t.extVertexArrayObject;e&&this.vao&&(e.deleteVertexArrayOES(this.vao),this.vao=null)}},{assert:40}],340:[function(t,e,r){\"use strict\";function n(t,e,r){e=e||{},this.id=t,this.dispatcher=r,this._data=e.data,void 0!==e.maxzoom&&(this.maxzoom=e.maxzoom),e.type&&(this.type=e.type);var n=s/this.tileSize;this.workerOptions=a.extend({source:this.id,cluster:e.cluster||!1,geojsonVtOptions:{buffer:(void 0!==e.buffer?e.buffer:128)*n,tolerance:(void 0!==e.tolerance?e.tolerance:.375)*n,extent:s,maxZoom:this.maxzoom},superclusterOptions:{maxZoom:Math.min(e.clusterMaxZoom,this.maxzoom-1)||this.maxzoom-1,extent:s,radius:(e.clusterRadius||50)*n,log:!1}},e.workerOptions),this._updateWorkerData(function(t){if(t)return void this.fire(\"error\",{error:t});this.fire(\"load\")}.bind(this))}var i=t(\"../util/evented\"),a=t(\"../util/util\"),o=t(\"resolve-url\"),s=t(\"../data/bucket\").EXTENT;e.exports=n,n.prototype=a.inherit(i,{type:\"geojson\",minzoom:0,maxzoom:18,tileSize:512,isTileClipped:!0,reparseOverscaled:!0,onAdd:function(t){this.map=t},setData:function(t){return this._data=t,this._updateWorkerData(function(t){if(t)return this.fire(\"error\",{error:t});this.fire(\"change\")}.bind(this)),this},_updateWorkerData:function(t){var e=a.extend({},this.workerOptions),r=this._data;\"string\"==typeof r?e.url=\"undefined\"!=typeof window?o(window.location.href,r):r:e.data=JSON.stringify(r),this.workerID=this.dispatcher.send(this.type+\".loadData\",e,function(e){this._loaded=!0,t(e)}.bind(this))},loadTile:function(t,e){var r=t.coord.z>this.maxzoom?Math.pow(2,t.coord.z-this.maxzoom):1,n={type:this.type,uid:t.uid,coord:t.coord,zoom:t.coord.z,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,overscaling:r,angle:this.map.transform.angle,\n",
       "pitch:this.map.transform.pitch,showCollisionBoxes:this.map.showCollisionBoxes};t.workerID=this.dispatcher.send(\"load tile\",n,function(r,n){if(t.unloadVectorData(this.map.painter),!t.aborted)return r?e(r):(t.loadVectorData(n,this.map.style),t.redoWhenDone&&(t.redoWhenDone=!1,t.redoPlacement(this)),e(null))}.bind(this),this.workerID)},abortTile:function(t){t.aborted=!0},unloadTile:function(t){t.unloadVectorData(this.map.painter),this.dispatcher.send(\"remove tile\",{uid:t.uid,source:this.id},function(){},t.workerID)},serialize:function(){return{type:this.type,data:this._data}}})},{\"../data/bucket\":311,\"../util/evented\":416,\"../util/util\":424,\"resolve-url\":482}],341:[function(t,e,r){\"use strict\";function n(t,e,r){r&&(this.loadGeoJSON=r),h.call(this,t,e)}var i=t(\"../util/util\"),a=t(\"../util/ajax\"),o=t(\"geojson-rewind\"),s=t(\"./geojson_wrapper\"),l=t(\"vt-pbf\"),u=t(\"supercluster\"),c=t(\"geojson-vt\"),h=t(\"./vector_tile_worker_source\");e.exports=n,n.prototype=i.inherit(h,{_geoJSONIndexes:{},loadVectorData:function(t,e){var r=t.source,n=t.coord;if(!this._geoJSONIndexes[r])return e(null,null);var i=this._geoJSONIndexes[r].getTile(Math.min(n.z,t.maxZoom),n.x,n.y);if(!i)return e(null,null);var a=new s(i.features);a.name=\"_geojsonTileLayer\";var o=l({layers:{_geojsonTileLayer:a}});0===o.byteOffset&&o.byteLength===o.buffer.byteLength||(o=new Uint8Array(o)),e(null,{tile:a,rawTileData:o.buffer})},loadData:function(t,e){var r=function(r,n){return r?e(r):\"object\"!=typeof n?e(new Error(\"Input data is not a valid GeoJSON object.\")):(o(n,!0),void this._indexData(n,t,function(r,n){if(r)return e(r);this._geoJSONIndexes[t.source]=n,e(null)}.bind(this)))}.bind(this);this.loadGeoJSON(t,r)},loadGeoJSON:function(t,e){if(t.url)a.getJSON(t.url,e);else{if(\"string\"!=typeof t.data)return e(new Error(\"Input data is not a valid GeoJSON object.\"));try{return e(null,JSON.parse(t.data))}catch(t){return e(new Error(\"Input data is not a valid GeoJSON object.\"))}}},_indexData:function(t,e,r){try{e.cluster?r(null,u(e.superclusterOptions).load(t.features)):r(null,c(t,e.geojsonVtOptions))}catch(t){return r(t)}}})},{\"../util/ajax\":407,\"../util/util\":424,\"./geojson_wrapper\":342,\"./vector_tile_worker_source\":353,\"geojson-rewind\":123,\"geojson-vt\":127,supercluster:509,\"vt-pbf\":536}],342:[function(t,e,r){\"use strict\";function n(t){this.features=t,this.length=t.length,this.extent=s}function i(t){if(this.type=t.type,1===t.type){this.rawGeometry=[];for(var e=0;e<t.geometry.length;e++)this.rawGeometry.push([t.geometry[e]])}else this.rawGeometry=t.geometry;this.properties=t.tags,this.extent=s}var a=t(\"point-geometry\"),o=t(\"vector-tile\").VectorTileFeature,s=t(\"../data/bucket\").EXTENT;e.exports=n,n.prototype.feature=function(t){return new i(this.features[t])},i.prototype.loadGeometry=function(){var t=this.rawGeometry;this.geometry=[];for(var e=0;e<t.length;e++){for(var r=t[e],n=[],i=0;i<r.length;i++)n.push(new a(r[i][0],r[i][1]));this.geometry.push(n)}return this.geometry},i.prototype.bbox=function(){this.geometry||this.loadGeometry();for(var t=this.geometry,e=1/0,r=-1/0,n=1/0,i=-1/0,a=0;a<t.length;a++)for(var o=t[a],s=0;s<o.length;s++){var l=o[s];e=Math.min(e,l.x),r=Math.max(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.y)}return[e,n,r,i]},i.prototype.toGeoJSON=o.prototype.toGeoJSON},{\"../data/bucket\":311,\"point-geometry\":465,\"vector-tile\":530}],343:[function(t,e,r){\"use strict\";function n(t,e,r){this.id=t,this.dispatcher=r,this.url=e.url,this.coordinates=e.coordinates,u.getImage(e.url,function(t,r){if(t)return this.fire(\"error\",{error:t});this.image=r,this.image.addEventListener(\"load\",function(){this.map._rerender()}.bind(this)),this._loaded=!0,this.fire(\"load\"),this.map&&this.setCoordinates(e.coordinates)}.bind(this))}var i=t(\"../util/util\"),a=t(\"./tile_coord\"),o=t(\"../geo/lng_lat\"),s=t(\"point-geometry\"),l=t(\"../util/evented\"),u=t(\"../util/ajax\"),c=t(\"../data/bucket\").EXTENT,h=t(\"../render/draw_raster\").RasterBoundsArray,f=t(\"../data/buffer\"),d=t(\"../render/vertex_array_object\");e.exports=n,n.prototype=i.inherit(l,{minzoom:0,maxzoom:22,tileSize:512,onAdd:function(t){this.map=t,this.image&&this.setCoordinates(this.coordinates)},setCoordinates:function(t){this.coordinates=t;var e=this.map,r=t.map(function(t){return e.transform.locationCoordinate(o.convert(t)).zoomTo(0)}),n=this.centerCoord=i.getCoordinatesCenter(r);return n.column=Math.round(n.column),n.row=Math.round(n.row),this.minzoom=this.maxzoom=n.zoom,this._coord=new a(n.zoom,n.column,n.row),this._tileCoords=r.map(function(t){var e=t.zoomTo(n.zoom);return new s(Math.round((e.column-n.column)*c),Math.round((e.row-n.row)*c))}),this.fire(\"change\"),this},_setTile:function(t){this._prepared=!1,this.tile=t;var e=new h;e.emplaceBack(this._tileCoords[0].x,this._tileCoords[0].y,0,0),e.emplaceBack(this._tileCoords[1].x,this._tileCoords[1].y,32767,0),e.emplaceBack(this._tileCoords[3].x,this._tileCoords[3].y,0,32767),e.emplaceBack(this._tileCoords[2].x,this._tileCoords[2].y,32767,32767),this.tile.buckets={},this.tile.boundsBuffer=new f(e.serialize(),h.serialize(),f.BufferType.VERTEX),this.tile.boundsVAO=new d,this.tile.state=\"loaded\"},prepare:function(){if(this._loaded&&this.image&&this.image.complete&&this.tile){var t=this.map.painter,e=t.gl;this._prepared?(e.bindTexture(e.TEXTURE_2D,this.tile.texture),e.texSubImage2D(e.TEXTURE_2D,0,0,0,e.RGBA,e.UNSIGNED_BYTE,this.image)):(this.tile.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.tile.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.CLAMP_TO_EDGE),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.CLAMP_TO_EDGE),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.RGBA,e.RGBA,e.UNSIGNED_BYTE,this.image))}},loadTile:function(t,e){this._coord&&this._coord.toString()===t.coord.toString()?(this._setTile(t),e(null)):(t.state=\"errored\",e(null))},serialize:function(){return{type:\"image\",urls:this.url,coordinates:this.coordinates}}})},{\"../data/bucket\":311,\"../data/buffer\":316,\"../geo/lng_lat\":321,\"../render/draw_raster\":333,\"../render/vertex_array_object\":339,\"../util/ajax\":407,\"../util/evented\":416,\"../util/util\":424,\"./tile_coord\":351,\"point-geometry\":465}],344:[function(t,e,r){\"use strict\";var n=t(\"../util/util\"),i=t(\"../util/ajax\"),a=t(\"../util/browser\"),o=t(\"../util/mapbox\").normalizeSourceURL;e.exports=function(t,e){var r=function(t,r){if(t)return e(t);var i=n.pick(r,[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\"]);r.vector_layers&&(i.vectorLayers=r.vector_layers,i.vectorLayerIds=i.vectorLayers.map(function(t){return t.id})),e(null,i)};t.url?i.getJSON(o(t.url),r):a.frame(r.bind(null,null,t))}},{\"../util/ajax\":407,\"../util/browser\":408,\"../util/mapbox\":421,\"../util/util\":424}],345:[function(t,e,r){\"use strict\";var n=t(\"../data/bucket\");e.exports=function(t,e,r){return e*(n.EXTENT/(t.tileSize*Math.pow(2,r-t.coord.z)))}},{\"../data/bucket\":311}],346:[function(t,e,r){\"use strict\";function n(t,e){var r=t.coord,n=e.coord;return r.z-n.z||r.y-n.y||r.w-n.w||r.x-n.x}function i(t){for(var e=t[0]||{},r=1;r<t.length;r++){var n=t[r];for(var i in n){var a=n[i],o=e[i];if(void 0===o)o=e[i]=a;else for(var s=0;s<a.length;s++)o.push(a[s])}}return e}var a=t(\"./tile_coord\");r.rendered=function(t,e,r,a,o,s){var l=t.tilesIn(r);l.sort(n);for(var u=[],c=0;c<l.length;c++){var h=l[c];h.tile.featureIndex&&u.push(h.tile.featureIndex.query({queryGeometry:h.queryGeometry,scale:h.scale,tileSize:h.tile.tileSize,bearing:s,params:a},e))}return i(u)},r.source=function(t,e){for(var r=t.getRenderableIds().map(function(e){return t.getTileByID(e)}),n=[],i={},o=0;o<r.length;o++){var s=r[o],l=new a(Math.min(s.sourceMaxZoom,s.coord.z),s.coord.x,s.coord.y,0).id;i[l]||(i[l]=!0,s.querySourceFeatures(n,e))}return n}},{\"./tile_coord\":351}],347:[function(t,e,r){\"use strict\";function n(t,e,r){this.id=t,this.dispatcher=r,i.extend(this,i.pick(e,[\"url\",\"scheme\",\"tileSize\"])),s(e,function(t,e){if(t)return this.fire(\"error\",t);i.extend(this,e),this.fire(\"load\")}.bind(this))}var i=t(\"../util/util\"),a=t(\"../util/ajax\"),o=t(\"../util/evented\"),s=t(\"./load_tilejson\"),l=t(\"../util/mapbox\").normalizeTileURL;e.exports=n,n.prototype=i.inherit(o,{minzoom:0,maxzoom:22,roundZoom:!0,scheme:\"xyz\",tileSize:512,_loaded:!1,onAdd:function(t){this.map=t},serialize:function(){return{type:\"raster\",url:this.url,tileSize:this.tileSize}},loadTile:function(t,e){function r(r,n){if(delete t.request,!t.aborted){if(r)return e(r);var i=this.map.painter.gl;t.texture=this.map.painter.getTexture(n.width),t.texture?(i.bindTexture(i.TEXTURE_2D,t.texture),i.texSubImage2D(i.TEXTURE_2D,0,0,0,i.RGBA,i.UNSIGNED_BYTE,n)):(t.texture=i.createTexture(),i.bindTexture(i.TEXTURE_2D,t.texture),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MIN_FILTER,i.LINEAR_MIPMAP_NEAREST),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MAG_FILTER,i.LINEAR),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_S,i.CLAMP_TO_EDGE),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_T,i.CLAMP_TO_EDGE),i.pixelStorei(i.UNPACK_PREMULTIPLY_ALPHA_WEBGL,!0),i.texImage2D(i.TEXTURE_2D,0,i.RGBA,i.RGBA,i.UNSIGNED_BYTE,n),t.texture.size=n.width),i.generateMipmap(i.TEXTURE_2D),this.map.animationLoop.set(this.map.style.rasterFadeDuration),t.state=\"loaded\",e(null)}}var n=l(t.coord.url(this.tiles,null,this.scheme),this.url,this.tileSize);t.request=a.getImage(n,r.bind(this))},abortTile:function(t){t.request&&(t.request.abort(),delete t.request)},unloadTile:function(t){t.texture&&this.map.painter.saveTexture(t.texture)}})},{\"../util/ajax\":407,\"../util/evented\":416,\"../util/mapbox\":421,\"../util/util\":424,\"./load_tilejson\":344}],348:[function(t,e,r){\"use strict\";var n=t(\"../util/util\"),i={vector:t(\"../source/vector_tile_source\"),raster:t(\"../source/raster_tile_source\"),geojson:t(\"../source/geojson_source\"),video:t(\"../source/video_source\"),image:t(\"../source/image_source\")};r.create=function(t,e,r){if(e=new i[e.type](t,e,r),e.id!==t)throw new Error(\"Expected Source id to be \"+t+\" instead of \"+e.id);return n.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],e),e},r.getType=function(t){return i[t]},r.setType=function(t,e){i[t]=e}},{\"../source/geojson_source\":340,\"../source/image_source\":343,\"../source/raster_tile_source\":347,\"../source/vector_tile_source\":352,\"../source/video_source\":354,\"../util/util\":424}],349:[function(t,e,r){\"use strict\";function n(t,e,r){this.id=t,this.dispatcher=r;var n=this._source=o.create(t,e,r).on(\"load\",function(){this.map&&this._source.onAdd&&this._source.onAdd(this.map),this._sourceLoaded=!0,this.tileSize=n.tileSize,this.minzoom=n.minzoom,this.maxzoom=n.maxzoom,this.roundZoom=n.roundZoom,this.reparseOverscaled=n.reparseOverscaled,this.isTileClipped=n.isTileClipped,this.attribution=n.attribution,this.vectorLayerIds=n.vectorLayerIds,this.fire(\"load\")}.bind(this)).on(\"error\",function(t){this._sourceErrored=!0,this.fire(\"error\",t)}.bind(this)).on(\"change\",function(){this.reload(),this.transform&&this.update(this.transform,this.map&&this.map.style.rasterFadeDuration),this.fire(\"change\")}.bind(this));this._tiles={},this._cache=new c(0,this.unloadTile.bind(this)),this._isIdRenderable=this._isIdRenderable.bind(this)}function i(t,e,r){var n=r.zoomTo(Math.min(t.z,e));return{x:(n.column-(t.x+t.w*Math.pow(2,t.z)))*d,y:(n.row-t.y)*d}}function a(t,e){return t%32-e%32}var o=t(\"./source\"),s=t(\"./tile\"),l=t(\"../util/evented\"),u=t(\"./tile_coord\"),c=t(\"../util/lru_cache\"),h=t(\"../geo/coordinate\"),f=t(\"../util/util\"),d=t(\"../data/bucket\").EXTENT;e.exports=n,n.maxOverzooming=10,n.maxUnderzooming=3,n.prototype=f.inherit(l,{onAdd:function(t){this.map=t,this._source&&this._source.onAdd&&this._source.onAdd(t)},loaded:function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},getSource:function(){return this._source},loadTile:function(t,e){return this._source.loadTile(t,e)},unloadTile:function(t){if(this._source.unloadTile)return this._source.unloadTile(t)},abortTile:function(t){if(this._source.abortTile)return this._source.abortTile(t)},serialize:function(){return this._source.serialize()},prepare:function(){if(this._sourceLoaded&&this._source.prepare)return this._source.prepare()},getIds:function(){return Object.keys(this._tiles).map(Number).sort(a)},getRenderableIds:function(){return this.getIds().filter(this._isIdRenderable)},_isIdRenderable:function(t){return this._tiles[t].isRenderable()&&!this._coveredTiles[t]},reload:function(){this._cache.reset();for(var t in this._tiles){var e=this._tiles[t];\"loading\"!==e.state&&(e.state=\"reloading\"),this.loadTile(this._tiles[t],this._tileLoaded.bind(this,this._tiles[t]))}},_tileLoaded:function(t,e){if(e)return t.state=\"errored\",this.fire(\"tile.error\",{tile:t,error:e}),void this._source.fire(\"tile.error\",{tile:t,error:e});t.source=this,t.timeAdded=(new Date).getTime(),this.fire(\"tile.load\",{tile:t}),this._source.fire(\"tile.load\",{tile:t})},getTile:function(t){return this.getTileByID(t.id)},getTileByID:function(t){return this._tiles[t]},getZoom:function(t){return t.zoom+t.scaleZoom(t.tileSize/this.tileSize)},findLoadedChildren:function(t,e,r){var n=!1;for(var i in this._tiles){var a=this._tiles[i];if(!(r[i]||!a.isRenderable()||a.coord.z<=t.z||a.coord.z>e)){var o=Math.pow(2,Math.min(a.coord.z,this.maxzoom)-Math.min(t.z,this.maxzoom));if(Math.floor(a.coord.x/o)===t.x&&Math.floor(a.coord.y/o)===t.y)for(r[i]=!0,n=!0;a&&a.coord.z-1>t.z;){var s=a.coord.parent(this.maxzoom).id;a=this._tiles[s],a&&a.isRenderable()&&(delete r[i],r[s]=!0)}}}return n},findLoadedParent:function(t,e,r){for(var n=t.z-1;n>=e;n--){t=t.parent(this.maxzoom);var i=this._tiles[t.id];if(i&&i.isRenderable())return r[t.id]=!0,i;if(this._cache.has(t.id))return this.addTile(t),r[t.id]=!0,this._tiles[t.id]}},updateCacheSize:function(t){var e=Math.ceil(t.width/t.tileSize)+1,r=Math.ceil(t.height/t.tileSize)+1,n=e*r;this._cache.setMaxSize(Math.floor(5*n))},update:function(t,e){if(this._sourceLoaded){var r,i,a;this.updateCacheSize(t);var o=(this.roundZoom?Math.round:Math.floor)(this.getZoom(t)),s=Math.max(o-n.maxOverzooming,this.minzoom),l=Math.max(o+n.maxUnderzooming,this.minzoom),c={},h=(new Date).getTime();this._coveredTiles={};var d=this.used?t.coveringTiles(this._source):[];for(r=0;r<d.length;r++)i=d[r],a=this.addTile(i),c[i.id]=!0,a.isRenderable()||this.findLoadedChildren(i,l,c)||this.findLoadedParent(i,s,c);for(var p={},m=Object.keys(c),g=0;g<m.length;g++){var v=m[g];i=u.fromID(v),a=this._tiles[v],a&&a.timeAdded>h-(e||0)&&(this.findLoadedChildren(i,l,c)&&(c[v]=!0),this.findLoadedParent(i,s,p))}var y;for(y in p)c[y]||(this._coveredTiles[y]=!0);for(y in p)c[y]=!0;var b=f.keysDifference(this._tiles,c);for(r=0;r<b.length;r++)this.removeTile(+b[r]);this.transform=t}},addTile:function(t){var e=this._tiles[t.id];if(e)return e;var r=t.wrapped();if(e=this._tiles[r.id],e||(e=this._cache.get(r.id))&&this._redoPlacement&&this._redoPlacement(e),!e){var n=t.z,i=n>this.maxzoom?Math.pow(2,n-this.maxzoom):1;e=new s(r,this.tileSize*i,this.maxzoom),this.loadTile(e,this._tileLoaded.bind(this,e))}return e.uses++,this._tiles[t.id]=e,this.fire(\"tile.add\",{tile:e}),this._source.fire(\"tile.add\",{tile:e}),e},removeTile:function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this.fire(\"tile.remove\",{tile:e}),this._source.fire(\"tile.remove\",{tile:e}),e.uses>0||(e.isRenderable()?this._cache.add(e.coord.wrapped().id,e):(e.aborted=!0,this.abortTile(e),this.unloadTile(e))))},clearTiles:function(){for(var t in this._tiles)this.removeTile(t);this._cache.reset()},tilesIn:function(t){for(var e={},r=this.getIds(),n=1/0,a=1/0,o=-1/0,s=-1/0,l=t[0].zoom,c=0;c<t.length;c++){var f=t[c];n=Math.min(n,f.column),a=Math.min(a,f.row),o=Math.max(o,f.column),s=Math.max(s,f.row)}for(var p=0;p<r.length;p++){var m=this._tiles[r[p]],g=u.fromID(r[p]),v=[i(g,m.sourceMaxZoom,new h(n,a,l)),i(g,m.sourceMaxZoom,new h(o,s,l))];if(v[0].x<d&&v[0].y<d&&v[1].x>=0&&v[1].y>=0){for(var y=[],b=0;b<t.length;b++)y.push(i(g,m.sourceMaxZoom,t[b]));var x=e[m.coord.id];void 0===x&&(x=e[m.coord.id]={tile:m,coord:g,queryGeometry:[],scale:Math.pow(2,this.transform.zoom-m.coord.z)}),x.queryGeometry.push(y)}}var _=[];for(var w in e)_.push(e[w]);return _},redoPlacement:function(){for(var t=this.getIds(),e=0;e<t.length;e++){this.getTileByID(t[e]).redoPlacement(this)}},getVisibleCoordinates:function(){return this.getRenderableIds().map(u.fromID)}})},{\"../data/bucket\":311,\"../geo/coordinate\":320,\"../util/evented\":416,\"../util/lru_cache\":420,\"../util/util\":424,\"./source\":348,\"./tile\":350,\"./tile_coord\":351}],350:[function(t,e,r){\"use strict\";function n(t,e,r){this.coord=t,this.uid=a.uniqueId(),this.uses=0,this.tileSize=e,this.sourceMaxZoom=r,this.buckets={},this.state=\"loading\"}function i(t,e){if(e){for(var r={},n=0;n<t.length;n++){var i=e.getLayer(t[n].layerId);if(i){var s=o.create(a.extend({layer:i,childLayers:t[n].childLayerIds.map(e.getLayer.bind(e)).filter(function(t){return t})},t[n]));r[s.id]=s}}return r}}var a=t(\"../util/util\"),o=t(\"../data/bucket\"),s=t(\"../data/feature_index\"),l=t(\"vector-tile\"),u=t(\"pbf\"),c=t(\"../util/vectortile_to_geojson\"),h=t(\"feature-filter\"),f=t(\"../symbol/collision_tile\"),d=t(\"../symbol/collision_box\"),p=t(\"../symbol/symbol_instances\"),m=t(\"../symbol/symbol_quads\");e.exports=n,n.prototype={loadVectorData:function(t,e){this.state=\"loaded\",t&&(this.collisionBoxArray=new d(t.collisionBoxArray),this.collisionTile=new f(t.collisionTile,this.collisionBoxArray),this.symbolInstancesArray=new p(t.symbolInstancesArray),this.symbolQuadsArray=new m(t.symbolQuadsArray),this.featureIndex=new s(t.featureIndex,t.rawTileData,this.collisionTile),this.rawTileData=t.rawTileData,this.buckets=i(t.buckets,e))},reloadSymbolData:function(t,e,r){if(\"unloaded\"!==this.state){this.collisionTile=new f(t.collisionTile,this.collisionBoxArray),this.featureIndex.setCollisionTile(this.collisionTile);for(var n in this.buckets){var o=this.buckets[n];\"symbol\"===o.type&&(o.destroy(e.gl),delete this.buckets[n])}a.extend(this.buckets,i(t.buckets,r))}},unloadVectorData:function(t){for(var e in this.buckets){this.buckets[e].destroy(t.gl)}this.collisionBoxArray=null,this.symbolQuadsArray=null,this.symbolInstancesArray=null,this.collisionTile=null,this.featureIndex=null,this.rawTileData=null,this.buckets=null,this.state=\"unloaded\"},redoPlacement:function(t){function e(e,r){this.reloadSymbolData(r,t.map.painter,t.map.style),t.fire(\"tile.load\",{tile:this}),this.state=\"loaded\",this.redoWhenDone&&(this.redoPlacement(t),this.redoWhenDone=!1)}if(\"loaded\"!==this.state||\"reloading\"===this.state)return void(this.redoWhenDone=!0);this.state=\"reloading\",t.dispatcher.send(\"redo placement\",{uid:this.uid,source:t.id,angle:t.map.transform.angle,pitch:t.map.transform.pitch,showCollisionBoxes:t.map.showCollisionBoxes},e.bind(this),this.workerID)},getBucket:function(t){return this.buckets&&this.buckets[t.ref||t.id]},querySourceFeatures:function(t,e){if(this.rawTileData){this.vtLayers||(this.vtLayers=new l.VectorTile(new u(new Uint8Array(this.rawTileData))).layers);var r=this.vtLayers._geojsonTileLayer||this.vtLayers[e.sourceLayer];if(r)for(var n=h(e.filter),i={z:this.coord.z,x:this.coord.x,y:this.coord.y},a=0;a<r.length;a++){var o=r.feature(a);if(n(o)){var s=new c(o,this.coord.z,this.coord.x,this.coord.y);s.tile=i,t.push(s)}}}},isRenderable:function(){return\"loaded\"===this.state||\"reloading\"===this.state}}},{\"../data/bucket\":311,\"../data/feature_index\":318,\"../symbol/collision_box\":376,\"../symbol/collision_tile\":378,\"../symbol/symbol_instances\":387,\"../symbol/symbol_quads\":388,\"../util/util\":424,\"../util/vectortile_to_geojson\":425,\"feature-filter\":117,pbf:459,\"vector-tile\":530}],351:[function(t,e,r){\"use strict\";function n(t,e,r,n){l(!isNaN(t)&&t>=0&&t%1==0),l(!isNaN(e)&&e>=0&&e%1==0),l(!isNaN(r)&&r>=0&&r%1==0),isNaN(n)&&(n=0),this.z=+t,this.x=+e,this.y=+r,this.w=+n,(n*=2)<0&&(n=n*-1-1);var i=1<<this.z;this.id=32*(i*i*n+i*this.y+this.x)+this.z,this.posMatrix=null}function i(t,e,r){for(var n,i=\"\",a=t;a>0;a--)n=1<<a-1,i+=(e&n?1:0)+(r&n?2:0);return i}function a(t,e){if(t.row>e.row){var r=t;t=e,e=r}return{x0:t.column,y0:t.row,x1:e.column,y1:e.row,dx:e.column-t.column,dy:e.row-t.row}}function o(t,e,r,n,i){var a=Math.max(r,Math.floor(e.y0)),o=Math.min(n,Math.ceil(e.y1));if(t.x0===e.x0&&t.y0===e.y0?t.x0+e.dy/t.dy*t.dx<e.x1:t.x1-e.dy/t.dy*t.dx<e.x0){var s=t;t=e,e=s}for(var l=t.dx/t.dy,u=e.dx/e.dy,c=t.dx>0,h=e.dx<0,f=a;f<o;f++){var d=l*Math.max(0,Math.min(t.dy,f+c-t.y0))+t.x0,p=u*Math.max(0,Math.min(e.dy,f+h-e.y0))+e.x0;i(Math.floor(p),Math.ceil(d),f)}}function s(t,e,r,n,i,s){var l,u=a(t,e),c=a(e,r),h=a(r,t);u.dy>c.dy&&(l=u,u=c,c=l),u.dy>h.dy&&(l=u,u=h,h=l),c.dy>h.dy&&(l=c,c=h,h=l),u.dy&&o(h,u,n,i,s),c.dy&&o(h,c,n,i,s)}var l=t(\"assert\"),u=t(\"whoots-js\"),c=t(\"../geo/coordinate\");e.exports=n,n.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y},n.prototype.toCoordinate=function(t){var e=Math.min(this.z,t),r=Math.pow(2,e),n=this.y,i=this.x+r*this.w;return new c(i,n,e)},n.fromID=function(t){var e=t%32,r=1<<e,i=(t-e)/32,a=i%r,o=(i-a)/r%r,s=Math.floor(i/(r*r));return s%2!=0&&(s=s*-1-1),s/=2,new n(e,a,o,s)},n.prototype.url=function(t,e,r){var n=u.getTileBBox(this.x,this.y,this.z),a=i(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",Math.min(this.z,e||this.z)).replace(\"{x}\",this.x).replace(\"{y}\",\"tms\"===r?Math.pow(2,this.z)-this.y-1:this.y).replace(\"{quadkey}\",a).replace(\"{bbox-epsg-3857}\",n)},n.prototype.parent=function(t){return 0===this.z?null:this.z>t?new n(this.z-1,this.x,this.y,this.w):new n(this.z-1,Math.floor(this.x/2),Math.floor(this.y/2),this.w)},n.prototype.wrapped=function(){return new n(this.z,this.x,this.y,0)},n.prototype.children=function(t){if(this.z>=t)return[new n(this.z+1,this.x,this.y,this.w)];var e=this.z+1,r=2*this.x,i=2*this.y;return[new n(e,r,i,this.w),new n(e,r+1,i,this.w),new n(e,r,i+1,this.w),new n(e,r+1,i+1,this.w)]},n.cover=function(t,e,r){function i(t,e,i){var s,l,u;if(i>=0&&i<=a)for(s=t;s<e;s++)l=(s%a+a)%a,u=new n(r,l,i,Math.floor(s/a)),o[u.id]=u}var a=1<<t,o={};return s(e[0],e[1],e[2],0,a,i),s(e[2],e[3],e[0],0,a,i),Object.keys(o).map(function(t){return o[t]})}},{\"../geo/coordinate\":320,assert:40,\"whoots-js\":546}],352:[function(t,e,r){\"use strict\";function n(t,e,r){if(this.id=t,this.dispatcher=r,a.extend(this,a.pick(e,[\"url\",\"scheme\",\"tileSize\"])),this._options=a.extend({type:\"vector\"},e),512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");o(e,function(t,e){if(t)return void this.fire(\"error\",t);a.extend(this,e),this.fire(\"load\")}.bind(this))}var i=t(\"../util/evented\"),a=t(\"../util/util\"),o=t(\"./load_tilejson\"),s=t(\"../util/mapbox\").normalizeTileURL;e.exports=n,n.prototype=a.inherit(i,{minzoom:0,maxzoom:22,scheme:\"xyz\",tileSize:512,reparseOverscaled:!0,isTileClipped:!0,onAdd:function(t){this.map=t},serialize:function(){return a.extend({},this._options)},loadTile:function(t,e){function r(r,n){if(!t.aborted){if(r)return e(r);t.loadVectorData(n,this.map.style),t.redoWhenDone&&(t.redoWhenDone=!1,t.redoPlacement(this)),e(null),t.reloadCallback&&(this.loadTile(t,t.reloadCallback),t.reloadCallback=null)}}var n=t.coord.z>this.maxzoom?Math.pow(2,t.coord.z-this.maxzoom):1,i={url:s(t.coord.url(this.tiles,this.maxzoom,this.scheme),this.url),uid:t.uid,coord:t.coord,zoom:t.coord.z,tileSize:this.tileSize*n,source:this.id,overscaling:n,angle:this.map.transform.angle,pitch:this.map.transform.pitch,showCollisionBoxes:this.map.showCollisionBoxes};t.workerID?\"loading\"===t.state?t.reloadCallback=e:(i.rawTileData=t.rawTileData,this.dispatcher.send(\"reload tile\",i,r.bind(this),t.workerID)):t.workerID=this.dispatcher.send(\"load tile\",i,r.bind(this))},abortTile:function(t){this.dispatcher.send(\"abort tile\",{uid:t.uid,source:this.id},null,t.workerID)},unloadTile:function(t){t.unloadVectorData(this.map.painter),this.dispatcher.send(\"remove tile\",{uid:t.uid,source:this.id},null,t.workerID)}})},{\"../util/evented\":416,\"../util/mapbox\":421,\"../util/util\":424,\"./load_tilejson\":344}],353:[function(t,e,r){\"use strict\";function n(t,e,r){this.actor=t,this.styleLayers=e,r&&(this.loadVectorData=r),this.loading={},this.loaded={}}var i=t(\"../util/ajax\"),a=t(\"vector-tile\"),o=t(\"pbf\"),s=t(\"./worker_tile\");e.exports=n,n.prototype={loadTile:function(t,e){function r(t,r){return delete this.loading[n][i],t?e(t):r?(a.data=r.tile,a.parse(a.data,this.styleLayers.getLayerFamilies(),this.actor,r.rawTileData,e),this.loaded[n]=this.loaded[n]||{},void(this.loaded[n][i]=a)):e(null,null)}var n=t.source,i=t.uid;this.loading[n]||(this.loading[n]={});var a=this.loading[n][i]=new s(t);a.abort=this.loadVectorData(t,r.bind(this))},reloadTile:function(t,e){var r=this.loaded[t.source],n=t.uid;if(r&&r[n]){var i=r[n];i.parse(i.data,this.styleLayers.getLayerFamilies(),this.actor,t.rawTileData,e)}},abortTile:function(t){var e=this.loading[t.source],r=t.uid;e&&e[r]&&e[r].abort&&(e[r].abort(),delete e[r])},removeTile:function(t){var e=this.loaded[t.source],r=t.uid;e&&e[r]&&delete e[r]},loadVectorData:function(t,e){function r(t,r){if(t)return e(t);var n=new a.VectorTile(new o(new Uint8Array(r)));e(t,{tile:n,rawTileData:r})}var n=i.getArrayBuffer(t.url,r.bind(this));return function(){n.abort()}},redoPlacement:function(t,e){var r=this.loaded[t.source],n=this.loading[t.source],i=t.uid;if(r&&r[i]){var a=r[i],o=a.redoPlacement(t.angle,t.pitch,t.showCollisionBoxes);o.result&&e(null,o.result,o.transferables)}else n&&n[i]&&(n[i].angle=t.angle)}}},{\"../util/ajax\":407,\"./worker_tile\":356,pbf:459,\"vector-tile\":530}],354:[function(t,e,r){\"use strict\";function n(t,e){this.id=t,this.urls=e.urls,this.coordinates=e.coordinates,u.getVideo(e.urls,function(t,r){if(t)return this.fire(\"error\",{error:t});this.video=r,this.video.loop=!0;var n;this.video.addEventListener(\"playing\",function(){n=this.map.style.animationLoop.set(1/0),this.map._rerender()}.bind(this)),this.video.addEventListener(\"pause\",function(){this.map.style.animationLoop.cancel(n)}.bind(this)),this.map&&(this.video.play(),this.setCoordinates(e.coordinates)),this.fire(\"load\")}.bind(this))}var i=t(\"../util/util\"),a=t(\"./tile_coord\"),o=t(\"../geo/lng_lat\"),s=t(\"point-geometry\"),l=t(\"../util/evented\"),u=t(\"../util/ajax\"),c=t(\"../data/bucket\").EXTENT,h=t(\"../render/draw_raster\").RasterBoundsArray,f=t(\"../data/buffer\"),d=t(\"../render/vertex_array_object\");e.exports=n,n.prototype=i.inherit(l,{minzoom:0,maxzoom:22,tileSize:512,roundZoom:!0,getVideo:function(){return this.video},onAdd:function(t){this.map||(this.map=t,this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},setCoordinates:function(t){this.coordinates=t;var e=this.map,r=t.map(function(t){return e.transform.locationCoordinate(o.convert(t)).zoomTo(0)}),n=this.centerCoord=i.getCoordinatesCenter(r);return n.column=Math.round(n.column),n.row=Math.round(n.row),this.minzoom=this.maxzoom=n.zoom,this._coord=new a(n.zoom,n.column,n.row),this._tileCoords=r.map(function(t){var e=t.zoomTo(n.zoom);return new s(Math.round((e.column-n.column)*c),Math.round((e.row-n.row)*c))}),this.fire(\"change\"),this},_setTile:function(t){this._prepared=!1,this.tile=t;var e=new h;e.emplaceBack(this._tileCoords[0].x,this._tileCoords[0].y,0,0),e.emplaceBack(this._tileCoords[1].x,this._tileCoords[1].y,32767,0),e.emplaceBack(this._tileCoords[3].x,this._tileCoords[3].y,0,32767),e.emplaceBack(this._tileCoords[2].x,this._tileCoords[2].y,32767,32767),this.tile.buckets={},this.tile.boundsBuffer=new f(e.serialize(),h.serialize(),f.BufferType.VERTEX),this.tile.boundsVAO=new d,this.tile.state=\"loaded\"},prepare:function(){if(!(this.video.readyState<2)&&this.tile){var t=this.map.painter.gl;this._prepared?(t.bindTexture(t.TEXTURE_2D,this.tile.texture),t.texSubImage2D(t.TEXTURE_2D,0,0,0,t.RGBA,t.UNSIGNED_BYTE,this.video)):(this._prepared=!0,this.tile.texture=t.createTexture(),t.bindTexture(t.TEXTURE_2D,this.tile.texture),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.LINEAR),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.LINEAR),t.texImage2D(t.TEXTURE_2D,0,t.RGBA,t.RGBA,t.UNSIGNED_BYTE,this.video)),this._currentTime=this.video.currentTime}},loadTile:function(t,e){this._coord&&this._coord.toString()===t.coord.toString()?(this._setTile(t),e(null)):(t.state=\"errored\",e(null))},serialize:function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}}})},{\"../data/bucket\":311,\"../data/buffer\":316,\"../geo/lng_lat\":321,\"../render/draw_raster\":333,\"../render/vertex_array_object\":339,\"../util/ajax\":407,\"../util/evented\":416,\"../util/util\":424,\"./tile_coord\":351,\"point-geometry\":465}],355:[function(t,e,r){\"use strict\";function n(t){this.self=t,this.actor=new a(t,this);var e={getLayers:function(){return this.layers}.bind(this),getLayerFamilies:function(){return this.layerFamilies}.bind(this)};this.workerSources={vector:new l(this.actor,e),geojson:new u(this.actor,e)},this.self.registerWorkerSource=function(t,r){if(this.workerSources[t])throw new Error('Worker source with name \"'+t+'\" already registered.');this.workerSources[t]=new r(this.actor,e)}.bind(this)}function i(t){var e={};for(var r in t){var n=t[r],i=n.ref||n.id,a=t[i];a.layout&&\"none\"===a.layout.visibility||(e[i]=e[i]||[],r===i?e[i].unshift(n):e[i].push(n))}return e}var a=t(\"../util/actor\"),o=t(\"../style/style_layer\"),s=t(\"../util/util\"),l=t(\"./vector_tile_worker_source\"),u=t(\"./geojson_worker_source\");e.exports=function(t){return new n(t)},s.extend(n.prototype,{\"set layers\":function(t){function e(t){var e=o.create(t,t.ref&&r.layers[t.ref]);e.updatePaintTransitions({},{transition:!1}),r.layers[e.id]=e}this.layers={};for(var r=this,n=[],a=0;a<t.length;a++){var s=t[a];\"fill\"!==s.type&&\"line\"!==s.type&&\"circle\"!==s.type&&\"symbol\"!==s.type||(s.ref?n.push(a):e(s))}for(var l=0;l<n.length;l++)e(t[n[l]]);this.layerFamilies=i(this.layers)},\"update layers\":function(t){function e(t){var e=a.layers[t.ref];a.layers[t.id]?a.layers[t.id].set(t,e):a.layers[t.id]=o.create(t,e),a.layers[t.id].updatePaintTransitions({},{transition:!1})}var r,n,a=this;for(r in t)n=t[r],n.ref&&e(n);for(r in t)n=t[r],n.ref||e(n);this.layerFamilies=i(this.layers)},\"load tile\":function(t,e){var r=t.type||\"vector\";this.workerSources[r].loadTile(t,e)},\"reload tile\":function(t,e){var r=t.type||\"vector\";this.workerSources[r].reloadTile(t,e)},\"abort tile\":function(t){var e=t.type||\"vector\";this.workerSources[e].abortTile(t)},\"remove tile\":function(t){var e=t.type||\"vector\";this.workerSources[e].removeTile(t)},\"redo placement\":function(t,e){var r=t.type||\"vector\";this.workerSources[r].redoPlacement(t,e)},\"load worker source\":function(t,e){try{this.self.importScripts(t.url),e()}catch(t){e(t)}}})},{\"../style/style_layer\":363,\"../util/actor\":406,\"../util/util\":424,\"./geojson_worker_source\":341,\"./vector_tile_worker_source\":353}],356:[function(t,e,r){\"use strict\";function n(t){this.coord=t.coord,this.uid=t.uid,this.zoom=t.zoom,this.tileSize=t.tileSize,this.source=t.source,this.overscaling=t.overscaling,this.angle=t.angle,this.pitch=t.pitch,this.showCollisionBoxes=t.showCollisionBoxes}function i(t){return!t.isEmpty()}function a(t){return t.serialize()}function o(t){var e=[];for(var r in t)t[r].getTransferables(e);return e}function s(t){return t.id}var l=t(\"../data/feature_index\"),u=t(\"../symbol/collision_tile\"),c=t(\"../data/bucket\"),h=t(\"../symbol/collision_box\"),f=t(\"../util/dictionary_coder\"),d=t(\"../util/util\"),p=t(\"../symbol/symbol_instances\"),m=t(\"../symbol/symbol_quads\");e.exports=n,n.prototype.parse=function(t,e,r,n,g){function v(t,e){for(var r=0;r<t.length;r++){var n=t.feature(r);n.index=r;for(var i in e)e[i].filter(n)&&e[i].features.push(n)}}function y(t){if(t)return g(t);if(2===++N){for(var e=P.length-1;e>=0;e--)b(E,P[e]);x()}}function b(t,e){if(e.populateArrays(A,F,R),\"symbol\"!==e.type)for(var r=0;r<e.features.length;r++){var n=e.features[r]\n",
       ";T.insert(n,n.index,e.sourceLayerIndex,e.index)}e.features=null}function x(){E.status=\"done\",E.redoPlacementAfterDone&&(E.redoPlacement(E.angle,E.pitch,null),E.redoPlacementAfterDone=!1);var t=T.serialize(),e=A.serialize(),r=E.collisionBoxArray.serialize(),s=E.symbolInstancesArray.serialize(),l=E.symbolQuadsArray.serialize(),u=[n].concat(t.transferables).concat(e.transferables),c=I.filter(i);g(null,{buckets:c.map(a),featureIndex:t.data,collisionTile:e.data,collisionBoxArray:r,symbolInstancesArray:s,symbolQuadsArray:l,rawTileData:n},o(c).concat(u))}this.status=\"parsing\",this.data=t,this.collisionBoxArray=new h,this.symbolInstancesArray=new p,this.symbolQuadsArray=new m;var _,w,M,k,A=new u(this.angle,this.pitch,this.collisionBoxArray),T=new l(this.coord,this.overscaling,A,t.layers),S=new f(t.layers?Object.keys(t.layers).sort():[\"_geojsonTileLayer\"]),E=this,L={},C={},z=0;for(var D in e)w=e[D][0],w.source===this.source&&(w.ref||w.minzoom&&this.zoom<w.minzoom||w.maxzoom&&this.zoom>=w.maxzoom||w.layout&&\"none\"===w.layout.visibility||t.layers&&!t.layers[w.sourceLayer]||(k=c.create({layer:w,index:z++,childLayers:e[D],zoom:this.zoom,overscaling:this.overscaling,showCollisionBoxes:this.showCollisionBoxes,collisionBoxArray:this.collisionBoxArray,symbolQuadsArray:this.symbolQuadsArray,symbolInstancesArray:this.symbolInstancesArray,sourceLayerIndex:S.encode(w.sourceLayer||\"_geojsonTileLayer\")}),k.createFilter(),L[w.id]=k,t.layers&&(M=w.sourceLayer,C[M]=C[M]||{},C[M][w.id]=k)));if(t.layers)for(M in C)1===w.version&&d.warnOnce('Vector tile source \"'+this.source+'\" layer \"'+M+'\" does not use vector tile spec v2 and therefore may have some rendering errors.'),(w=t.layers[M])&&v(w,C[M]);else v(t,L);var I=[],P=this.symbolBuckets=[],O=[];T.bucketLayerIDs={};for(var j in L)k=L[j],0!==k.features.length&&(T.bucketLayerIDs[k.index]=k.childLayers.map(s),I.push(k),\"symbol\"===k.type?P.push(k):O.push(k));var R={},F={},N=0;if(P.length>0){for(_=P.length-1;_>=0;_--)P[_].updateIcons(R),P[_].updateFont(F);for(var B in F)F[B]=Object.keys(F[B]).map(Number);R=Object.keys(R),r.send(\"get glyphs\",{uid:this.uid,stacks:F},function(t,e){F=e,y(t)}),R.length?r.send(\"get icons\",{icons:R},function(t,e){R=e,y(t)}):y()}for(_=O.length-1;_>=0;_--)b(this,O[_]);if(0===P.length)return x()},n.prototype.redoPlacement=function(t,e,r){if(\"done\"!==this.status)return this.redoPlacementAfterDone=!0,this.angle=t,{};for(var n=new u(t,e,this.collisionBoxArray),s=this.symbolBuckets,l=s.length-1;l>=0;l--)s[l].placeFeatures(n,r);var c=n.serialize(),h=s.filter(i);return{result:{buckets:h.map(a),collisionTile:c.data},transferables:o(h).concat(c.transferables)}}},{\"../data/bucket\":311,\"../data/feature_index\":318,\"../symbol/collision_box\":376,\"../symbol/collision_tile\":378,\"../symbol/symbol_instances\":387,\"../symbol/symbol_quads\":388,\"../util/dictionary_coder\":414,\"../util/util\":424}],357:[function(t,e,r){\"use strict\";function n(){this.n=0,this.times=[]}e.exports=n,n.prototype.stopped=function(){return this.times=this.times.filter(function(t){return t.time>=(new Date).getTime()}),!this.times.length},n.prototype.set=function(t){return this.times.push({id:this.n,time:t+(new Date).getTime()}),this.n++},n.prototype.cancel=function(t){this.times=this.times.filter(function(e){return e.id!==t})}},{}],358:[function(t,e,r){\"use strict\";function n(t){this.base=t,this.retina=s.devicePixelRatio>1;var e=this.retina?\"@2x\":\"\";o.getJSON(l(t,e,\".json\"),function(t,e){if(t)return void this.fire(\"error\",{error:t});this.data=e,this.img&&this.fire(\"load\")}.bind(this)),o.getImage(l(t,e,\".png\"),function(t,e){if(t)return void this.fire(\"error\",{error:t});for(var r=e.getData(),n=e.data=new Uint8Array(r.length),i=0;i<r.length;i+=4){var a=r[i+3]/255;n[i+0]=r[i+0]*a,n[i+1]=r[i+1]*a,n[i+2]=r[i+2]*a,n[i+3]=r[i+3]}this.img=e,this.data&&this.fire(\"load\")}.bind(this))}function i(){}var a=t(\"../util/evented\"),o=t(\"../util/ajax\"),s=t(\"../util/browser\"),l=t(\"../util/mapbox\").normalizeSpriteURL;e.exports=n,n.prototype=Object.create(a),n.prototype.toJSON=function(){return this.base},n.prototype.loaded=function(){return!(!this.data||!this.img)},n.prototype.resize=function(){if(s.devicePixelRatio>1!==this.retina){var t=new n(this.base);t.on(\"load\",function(){this.img=t.img,this.data=t.data,this.retina=t.retina}.bind(this))}},i.prototype={x:0,y:0,width:0,height:0,pixelRatio:1,sdf:!1},n.prototype.getSpritePosition=function(t){if(!this.loaded())return new i;var e=this.data&&this.data[t];return e&&this.img?e:new i}},{\"../util/ajax\":407,\"../util/browser\":408,\"../util/evented\":416,\"../util/mapbox\":421}],359:[function(t,e,r){\"use strict\";var n=t(\"csscolorparser\").parseCSSColor,i=t(\"../util/util\"),a=t(\"./style_function\"),o={};e.exports=function t(e){if(a.isFunctionDefinition(e))return i.extend({},e,{stops:e.stops.map(function(e){return[e[0],t(e[1])]})});if(\"string\"==typeof e){if(!o[e]){var r=n(e);if(!r)throw new Error(\"Invalid color \"+e);o[e]=[r[0]/255*r[3],r[1]/255*r[3],r[2]/255*r[3],r[3]]}return o[e]}throw new Error(\"Invalid color \"+e)}},{\"../util/util\":424,\"./style_function\":362,csscolorparser:101}],360:[function(t,e,r){\"use strict\";function n(t,e,r){this.animationLoop=e||new m,this.dispatcher=new p(r||1,this),this.spriteAtlas=new l(1024,1024),this.lineAtlas=new u(256,512),this._layers={},this._order=[],this._groups=[],this.sources={},this.zoomHistory={},c.bindAll([\"_forwardSourceEvent\",\"_forwardTileEvent\",\"_forwardLayerEvent\",\"_redoPlacement\"],this),this._resetUpdates();var n=function(t,e){if(t)return void this.fire(\"error\",{error:t});if(!g.emitErrors(this,g(e))){this._loaded=!0,this.stylesheet=e,this.updateClasses();var r=e.sources;for(var n in r)this.addSource(n,r[n]);e.sprite&&(this.sprite=new o(e.sprite),this.sprite.on(\"load\",this.fire.bind(this,\"change\"))),this.glyphSource=new s(e.glyphs),this._resolve(),this.fire(\"load\")}}.bind(this);\"string\"==typeof t?h.getJSON(f(t),n):d.frame(n.bind(this,null,t)),this.on(\"source.load\",function(t){var e=t.source;if(e&&e.vectorLayerIds)for(var r in this._layers){var n=this._layers[r];n.source===e.id&&this._validateLayer(n)}})}var i=t(\"../util/evented\"),a=t(\"./style_layer\"),o=t(\"./image_sprite\"),s=t(\"../symbol/glyph_source\"),l=t(\"../symbol/sprite_atlas\"),u=t(\"../render/line_atlas\"),c=t(\"../util/util\"),h=t(\"../util/ajax\"),f=t(\"../util/mapbox\").normalizeStyleURL,d=t(\"../util/browser\"),p=t(\"../util/dispatcher\"),m=t(\"./animation_loop\"),g=t(\"./validate_style\"),v=t(\"../source/source\"),y=t(\"../source/query_features\"),b=t(\"../source/source_cache\"),x=t(\"./style_spec\"),_=t(\"./style_function\");e.exports=n,n.prototype=c.inherit(i,{_loaded:!1,_validateLayer:function(t){var e=this.sources[t.source];t.sourceLayer&&e&&e.vectorLayerIds&&e.vectorLayerIds.indexOf(t.sourceLayer)===-1&&this.fire(\"error\",{error:new Error('Source layer \"'+t.sourceLayer+'\" does not exist on source \"'+e.id+'\" as specified by style layer \"'+t.id+'\"')})},loaded:function(){if(!this._loaded)return!1;if(Object.keys(this._updates.sources).length)return!1;for(var t in this.sources)if(!this.sources[t].loaded())return!1;return!(this.sprite&&!this.sprite.loaded())},_resolve:function(){var t,e;this._layers={},this._order=this.stylesheet.layers.map(function(t){return t.id});for(var r=0;r<this.stylesheet.layers.length;r++)e=this.stylesheet.layers[r],e.ref||(t=a.create(e),this._layers[t.id]=t,t.on(\"error\",this._forwardLayerEvent));for(var n=0;n<this.stylesheet.layers.length;n++)if(e=this.stylesheet.layers[n],e.ref){var i=this.getLayer(e.ref);t=a.create(e,i),this._layers[t.id]=t,t.on(\"error\",this._forwardLayerEvent)}this._groupLayers(),this._updateWorkerLayers()},_groupLayers:function(){var t;this._groups=[];for(var e=0;e<this._order.length;++e){var r=this._layers[this._order[e]];t&&r.source===t.source||(t=[],t.source=r.source,this._groups.push(t)),t.push(r)}},_updateWorkerLayers:function(t){this.dispatcher.broadcast(t?\"update layers\":\"set layers\",this._serializeLayers(t))},_serializeLayers:function(t){t=t||this._order;for(var e=[],r={includeRefProperties:!0},n=0;n<t.length;n++)e.push(this._layers[t[n]].serialize(r));return e},_applyClasses:function(t,e){if(this._loaded){t=t||[],e=e||{transition:!0};var r=this.stylesheet.transition||{},n=this._updates.allPaintProps?this._layers:this._updates.paintProps;for(var i in n){var a=this._layers[i],o=this._updates.paintProps[i];if(this._updates.allPaintProps||o.all)a.updatePaintTransitions(t,e,r,this.animationLoop);else for(var s in o)this._layers[i].updatePaintTransition(s,t,e,r,this.animationLoop)}}},_recalculate:function(t){for(var e in this.sources)this.sources[e].used=!1;this._updateZoomHistory(t),this.rasterFadeDuration=300;for(var r in this._layers){var n=this._layers[r];n.recalculate(t,this.zoomHistory),!n.isHidden(t)&&n.source&&(this.sources[n.source].used=!0)}Math.floor(this.z)!==Math.floor(t)&&this.animationLoop.set(300),this.z=t,this.fire(\"zoom\")},_updateZoomHistory:function(t){var e=this.zoomHistory;void 0===e.lastIntegerZoom&&(e.lastIntegerZoom=Math.floor(t),e.lastIntegerZoomTime=0,e.lastZoom=t),Math.floor(e.lastZoom)<Math.floor(t)?(e.lastIntegerZoom=Math.floor(t),e.lastIntegerZoomTime=Date.now()):Math.floor(e.lastZoom)>Math.floor(t)&&(e.lastIntegerZoom=Math.floor(t+1),e.lastIntegerZoomTime=Date.now()),e.lastZoom=t},_checkLoaded:function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},update:function(t,e){if(!this._updates.changed)return this;if(this._updates.allLayers)this._groupLayers(),this._updateWorkerLayers();else{var r=Object.keys(this._updates.layers);r.length&&this._updateWorkerLayers(r)}var n,i=Object.keys(this._updates.sources);for(n=0;n<i.length;n++)this._reloadSource(i[n]);for(n=0;n<this._updates.events.length;n++){var a=this._updates.events[n];this.fire(a[0],a[1])}return this._applyClasses(t,e),this._updates.changed&&this.fire(\"change\"),this._resetUpdates(),this},_resetUpdates:function(){this._updates={events:[],layers:{},sources:{},paintProps:{}}},addSource:function(t,e){if(this._checkLoaded(),void 0!==this.sources[t])throw new Error(\"There is already a source with this ID\");if(!e.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(e)+\".\");return[\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(e.type)>=0&&this._handleErrors(g.source,\"sources.\"+t,e)?this:(e=new b(t,e,this.dispatcher),this.sources[t]=e,e.style=this,e.on(\"load\",this._forwardSourceEvent).on(\"error\",this._forwardSourceEvent).on(\"change\",this._forwardSourceEvent).on(\"tile.add\",this._forwardTileEvent).on(\"tile.load\",this._forwardTileEvent).on(\"tile.error\",this._forwardTileEvent).on(\"tile.remove\",this._forwardTileEvent).on(\"tile.stats\",this._forwardTileEvent),this._updates.events.push([\"source.add\",{source:e}]),this._updates.changed=!0,this)},removeSource:function(t){if(this._checkLoaded(),void 0===this.sources[t])throw new Error(\"There is no source with this ID\");var e=this.sources[t];return delete this.sources[t],delete this._updates.sources[t],e.off(\"load\",this._forwardSourceEvent).off(\"error\",this._forwardSourceEvent).off(\"change\",this._forwardSourceEvent).off(\"tile.add\",this._forwardTileEvent).off(\"tile.load\",this._forwardTileEvent).off(\"tile.error\",this._forwardTileEvent).off(\"tile.remove\",this._forwardTileEvent).off(\"tile.stats\",this._forwardTileEvent),this._updates.events.push([\"source.remove\",{source:e}]),this._updates.changed=!0,this},getSource:function(t){return this.sources[t]&&this.sources[t].getSource()},addLayer:function(t,e){if(this._checkLoaded(),!(t instanceof a)){if(this._handleErrors(g.layer,\"layers.\"+t.id,t,!1,{arrayIndex:-1}))return this;var r=t.ref&&this.getLayer(t.ref);t=a.create(t,r)}return this._validateLayer(t),t.on(\"error\",this._forwardLayerEvent),this._layers[t.id]=t,this._order.splice(e?this._order.indexOf(e):1/0,0,t.id),this._updates.allLayers=!0,t.source&&(this._updates.sources[t.source]=!0),this._updates.events.push([\"layer.add\",{layer:t}]),this.updateClasses(t.id)},removeLayer:function(t){this._checkLoaded();var e=this._layers[t];if(void 0===e)throw new Error(\"There is no layer with this ID\");for(var r in this._layers)this._layers[r].ref===t&&this.removeLayer(r);return e.off(\"error\",this._forwardLayerEvent),delete this._layers[t],delete this._updates.layers[t],delete this._updates.paintProps[t],this._order.splice(this._order.indexOf(t),1),this._updates.allLayers=!0,this._updates.events.push([\"layer.remove\",{layer:e}]),this._updates.changed=!0,this},getLayer:function(t){return this._layers[t]},getReferentLayer:function(t){var e=this.getLayer(t);return e.ref&&(e=this.getLayer(e.ref)),e},setLayerZoomRange:function(t,e,r){this._checkLoaded();var n=this.getReferentLayer(t);return n.minzoom===e&&n.maxzoom===r?this:(null!=e&&(n.minzoom=e),null!=r&&(n.maxzoom=r),this._updateLayer(n))},setFilter:function(t,e){this._checkLoaded();var r=this.getReferentLayer(t);return null!==e&&this._handleErrors(g.filter,\"layers.\"+r.id+\".filter\",e)?this:c.deepEqual(r.filter,e)?this:(r.filter=c.clone(e),this._updateLayer(r))},getFilter:function(t){return this.getReferentLayer(t).filter},setLayoutProperty:function(t,e,r){this._checkLoaded();var n=this.getReferentLayer(t);return c.deepEqual(n.getLayoutProperty(e),r)?this:(n.setLayoutProperty(e,r),this._updateLayer(n))},getLayoutProperty:function(t,e){return this.getReferentLayer(t).getLayoutProperty(e)},setPaintProperty:function(t,e,r,n){this._checkLoaded();var i=this.getLayer(t);if(c.deepEqual(i.getPaintProperty(e,n),r))return this;var a=i.isPaintValueFeatureConstant(e);return i.setPaintProperty(e,r,n),!(r&&_.isFunctionDefinition(r)&&\"$zoom\"!==r.property&&void 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a=t(\"./style_function\"),o=t(\"./parse_color\"),s=t(\"../util/util\");e.exports=n},{\"../util/util\":424,\"./parse_color\":359,\"./style_function\":362}],362:[function(t,e,r){\"use strict\";var n=t(\"mapbox-gl-function\");r.interpolated=function(t){var e=n.interpolated(t),r=function(t,r){return e(t&&t.zoom,r||{})};return r.isFeatureConstant=e.isFeatureConstant,r.isZoomConstant=e.isZoomConstant,r},r[\"piecewise-constant\"]=function(t){var e=n[\"piecewise-constant\"](t),r=function(t,r){return e(t&&t.zoom,r||{})};return r.isFeatureConstant=e.isFeatureConstant,r.isZoomConstant=e.isZoomConstant,r},r.isFunctionDefinition=n.isFunctionDefinition},{\"mapbox-gl-function\":284}],363:[function(t,e,r){\"use strict\";function n(t,e){this.set(t,e)}function i(t){return t.value}var a=t(\"../util/util\"),o=t(\"./style_transition\"),s=t(\"./style_declaration\"),l=t(\"./style_spec\"),u=t(\"./validate_style\"),c=t(\"./parse_color\"),h=t(\"../util/evented\");e.exports=n;n.create=function(e,r){return 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n=\"layers.\"+this.id+(r?'[\"paint.'+r+'\"].':\".paint.\")+t;if(a.endsWith(t,\"-transition\"))if(this._paintTransitionOptions[r||\"\"]||(this._paintTransitionOptions[r||\"\"]={}),null===e||void 0===e)delete this._paintTransitionOptions[r||\"\"][t];else{if(this._handleErrors(u.paintProperty,n,t,e))return;this._paintTransitionOptions[r||\"\"][t]=e}else if(this._paintDeclarations[r||\"\"]||(this._paintDeclarations[r||\"\"]={}),null===e||void 0===e)delete this._paintDeclarations[r||\"\"][t];else{if(this._handleErrors(u.paintProperty,n,t,e))return;this._paintDeclarations[r||\"\"][t]=new s(this._paintSpecifications[t],e)}},getPaintProperty:function(t,e){return e=e||\"\",a.endsWith(t,\"-transition\")?this._paintTransitionOptions[e]&&this._paintTransitionOptions[e][t]:this._paintDeclarations[e]&&this._paintDeclarations[e][t]&&this._paintDeclarations[e][t].value},getPaintValue:function(t,e,r){var n=this._paintSpecifications[t],i=this._paintTransitions[t];return 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0===this.getPaintProperty(\"fill-outline-color\")?a.prototype.getPaintInterpolationT.call(this,\"fill-color\",e):a.prototype.getPaintInterpolationT.call(this,t,e)},isPaintValueFeatureConstant:function(t){return\"fill-outline-color\"===t&&void 0===this.getPaintProperty(\"fill-outline-color\")?a.prototype.isPaintValueFeatureConstant.call(this,\"fill-color\"):a.prototype.isPaintValueFeatureConstant.call(this,t)},isPaintValueZoomConstant:function(t){return\"fill-outline-color\"===t&&void 0===this.getPaintProperty(\"fill-outline-color\")?a.prototype.isPaintValueZoomConstant.call(this,\"fill-color\"):a.prototype.isPaintValueZoomConstant.call(this,t)}}),e.exports=n},{\"../../util/util\":424,\"../style_layer\":363}],367:[function(t,e,r){\"use strict\";function n(){a.apply(this,arguments)}var i=t(\"../../util/util\"),a=t(\"../style_layer\");e.exports=n,n.prototype=i.inherit(a,{getPaintValue:function(t,e,r){var n=a.prototype.getPaintValue.apply(this,arguments);if(n&&\"line-dasharray\"===t){var i=Math.floor(e.zoom);this._flooredZoom!==i&&(this._flooredZoom=i,this._flooredLineWidth=this.getPaintValue(\"line-width\",e,r)),n.fromScale*=this._flooredLineWidth,n.toScale*=this._flooredLineWidth}return n}})},{\"../../util/util\":424,\"../style_layer\":363}],368:[function(t,e,r){\"use strict\";function n(){a.apply(this,arguments)}var i=t(\"../../util/util\"),a=t(\"../style_layer\");e.exports=n,n.prototype=i.inherit(a,{})},{\"../../util/util\":424,\"../style_layer\":363}],369:[function(t,e,r){\"use strict\";function n(){a.apply(this,arguments)}var i=t(\"../../util/util\"),a=t(\"../style_layer\");e.exports=n,n.prototype=i.inherit(a,{isHidden:function(){if(a.prototype.isHidden.apply(this,arguments))return!0;var t=0===this.paint[\"text-opacity\"]||!this.layout[\"text-field\"],e=0===this.paint[\"icon-opacity\"]||!this.layout[\"icon-image\"];return!(!t||!e)},getLayoutValue:function(t,e,r){return(\"text-rotation-alignment\"!==t||\"line\"!==this.getLayoutValue(\"symbol-placement\",e,r)||this.getLayoutProperty(\"text-rotation-alignment\"))&&(\"icon-rotation-alignment\"!==t||\"line\"!==this.getLayoutValue(\"symbol-placement\",e,r)||this.getLayoutProperty(\"icon-rotation-alignment\"))?\"text-pitch-alignment\"!==t||this.getLayoutProperty(\"text-pitch-alignment\")?a.prototype.getLayoutValue.apply(this,arguments):this.getLayoutValue(\"text-rotation-alignment\"):\"map\"}})},{\"../../util/util\":424,\"../style_layer\":363}],370:[function(t,e,r){\"use strict\";e.exports=t(\"mapbox-gl-style-spec/reference/latest.min\")},{\"mapbox-gl-style-spec/reference/latest.min\":307}],371:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.declaration=e,this.startTime=this.endTime=(new 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r}},{\"../util/interpolate\":418,\"../util/util\":424}],372:[function(t,e,r){\"use strict\";e.exports=t(\"mapbox-gl-style-spec/lib/validate_style.min\"),e.exports.emitErrors=function(t,e){if(e&&e.length){for(var r=0;r<e.length;r++)t.fire(\"error\",{error:new Error(e[r].message)});return!0}return!1},e.exports.throwErrors=function(t,e){if(e)for(var r=0;r<e.length;r++)throw new Error(e[r].message)}},{\"mapbox-gl-style-spec/lib/validate_style.min\":306}],373:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.x=t,this.y=e,this.angle=r,void 0!==n&&(this.segment=n)}var i=t(\"point-geometry\");e.exports=n,n.prototype=Object.create(i.prototype),n.prototype.clone=function(){return new n(this.x,this.y,this.angle,this.segment)}},{\"point-geometry\":465}],374:[function(t,e,r){\"use strict\";function n(t,e,r,n,i){if(void 0===e.segment)return!0;for(var a=e,o=e.segment+1,s=0;s>-r/2;){if(--o<0)return!1;s-=t[o].dist(a),a=t[o]}s+=t[o].dist(t[o+1]),o++;for(var l=[],u=0;s<r/2;){var c=t[o-1],h=t[o],f=t[o+1];if(!f)return!1;var d=c.angleTo(h)-h.angleTo(f);for(d=Math.abs((d+3*Math.PI)%(2*Math.PI)-Math.PI),l.push({distance:s,angleDelta:d}),u+=d;s-l[0].distance>n;)u-=l.shift().angleDelta;if(u>i)return!1;o++,s+=h.dist(f)}return!0}e.exports=n},{}],375:[function(t,e,r){\"use strict\";function n(t,e,r,n,a){for(var o=[],s=0;s<t.length;s++)for(var l,u=t[s],c=0;c<u.length-1;c++){var h=u[c],f=u[c+1];h.x<e&&f.x<e||(h.x<e?h=new i(e,h.y+(f.y-h.y)*((e-h.x)/(f.x-h.x)))._round():f.x<e&&(f=new i(e,h.y+(f.y-h.y)*((e-h.x)/(f.x-h.x)))._round()),h.y<r&&f.y<r||(h.y<r?h=new i(h.x+(f.x-h.x)*((r-h.y)/(f.y-h.y)),r)._round():f.y<r&&(f=new i(h.x+(f.x-h.x)*((r-h.y)/(f.y-h.y)),r)._round()),h.x>=n&&f.x>=n||(h.x>=n?h=new i(n,h.y+(f.y-h.y)*((n-h.x)/(f.x-h.x)))._round():f.x>=n&&(f=new i(n,h.y+(f.y-h.y)*((n-h.x)/(f.x-h.x)))._round()),h.y>=a&&f.y>=a||(h.y>=a?h=new i(h.x+(f.x-h.x)*((a-h.y)/(f.y-h.y)),a)._round():f.y>=a&&(f=new i(h.x+(f.x-h.x)*((a-h.y)/(f.y-h.y)),a)._round()),l&&h.equals(l[l.length-1])||(l=[h],o.push(l)),l.push(f)))))}return o}var i=t(\"point-geometry\");e.exports=n},{\"point-geometry\":465}],376:[function(t,e,r){\n",
       "\"use strict\";var n=t(\"../util/struct_array\"),i=t(\"../util/util\"),a=t(\"point-geometry\"),o=e.exports=new n({members:[{type:\"Int16\",name:\"anchorPointX\"},{type:\"Int16\",name:\"anchorPointY\"},{type:\"Int16\",name:\"x1\"},{type:\"Int16\",name:\"y1\"},{type:\"Int16\",name:\"x2\"},{type:\"Int16\",name:\"y2\"},{type:\"Float32\",name:\"maxScale\"},{type:\"Uint32\",name:\"featureIndex\"},{type:\"Uint16\",name:\"sourceLayerIndex\"},{type:\"Uint16\",name:\"bucketIndex\"},{type:\"Int16\",name:\"bbox0\"},{type:\"Int16\",name:\"bbox1\"},{type:\"Int16\",name:\"bbox2\"},{type:\"Int16\",name:\"bbox3\"},{type:\"Float32\",name:\"placementScale\"}]});i.extendAll(o.prototype.StructType.prototype,{get anchorPoint(){return new a(this.anchorPointX,this.anchorPointY)}})},{\"../util/struct_array\":422,\"../util/util\":424,\"point-geometry\":465}],377:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s,l,u,c){var h=o.top*s-l,f=o.bottom*s+l,d=o.left*s-l,p=o.right*s+l;if(this.boxStartIndex=t.length,u){var m=f-h,g=p-d;if(m>0)if(m=Math.max(10*s,m),c){var v=e[r.segment+1].sub(e[r.segment])._unit()._mult(g),y=[r.sub(v),r.add(v)];this._addLineCollisionBoxes(t,y,r,0,g,m,n,i,a)}else this._addLineCollisionBoxes(t,e,r,r.segment,g,m,n,i,a)}else t.emplaceBack(r.x,r.y,d,h,p,f,1/0,n,i,a,0,0,0,0,0);this.boxEndIndex=t.length}e.exports=n,n.prototype._addLineCollisionBoxes=function(t,e,r,n,i,a,o,s,l){var u=a/2,c=Math.floor(i/u),h=-a/2,f=this.boxes,d=r,p=n+1,m=h;do{if(--p<0)return f;m-=e[p].dist(d),d=e[p]}while(m>-i/2);for(var g=e[p].dist(e[p+1]),v=0;v<c;v++){for(var y=-i/2+v*u;m+g<y;){if(m+=g,++p+1>=e.length)return f;g=e[p].dist(e[p+1])}var b=y-m,x=e[p],_=e[p+1],w=_.sub(x)._unit()._mult(b)._add(x)._round(),M=Math.max(Math.abs(y-h)-u/2,0),k=i/2/M;t.emplaceBack(w.x,w.y,-a/2,-a/2,a/2,a/2,k,o,s,l,0,0,0,0,0)}return f}},{}],378:[function(t,e,r){\"use strict\";function n(t,e,r){if(\"object\"==typeof t){var n=t;r=e,t=n.angle,e=n.pitch,this.grid=new o(n.grid),this.ignoredGrid=new o(n.ignoredGrid)}else this.grid=new o(a,12,6),this.ignoredGrid=new o(a,12,0);this.angle=t,this.pitch=e;var i=Math.sin(t),s=Math.cos(t);if(this.rotationMatrix=[s,-i,i,s],this.reverseRotationMatrix=[s,i,-i,s],this.yStretch=1/Math.cos(e/180*Math.PI),this.yStretch=Math.pow(this.yStretch,1.3),this.collisionBoxArray=r,0===r.length){r.emplaceBack();r.emplaceBack(0,0,0,-32767,0,32767,32767,0,0,0,0,0,0,0,0,0),r.emplaceBack(a,0,0,-32767,0,32767,32767,0,0,0,0,0,0,0,0,0),r.emplaceBack(0,0,-32767,0,32767,0,32767,0,0,0,0,0,0,0,0,0),r.emplaceBack(0,a,-32767,0,32767,0,32767,0,0,0,0,0,0,0,0,0)}this.tempCollisionBox=r.get(0),this.edges=[r.get(1),r.get(2),r.get(3),r.get(4)]}var i=t(\"point-geometry\"),a=t(\"../data/bucket\").EXTENT,o=t(\"grid-index\");e.exports=n,n.prototype.serialize=function(){var t={angle:this.angle,pitch:this.pitch,grid:this.grid.toArrayBuffer(),ignoredGrid:this.ignoredGrid.toArrayBuffer()};return{data:t,transferables:[t.grid,t.ignoredGrid]}},n.prototype.minScale=.25,n.prototype.maxScale=2,n.prototype.placeCollisionFeature=function(t,e,r){for(var n=this.collisionBoxArray,a=this.minScale,o=this.rotationMatrix,s=this.yStretch,l=t.boxStartIndex;l<t.boxEndIndex;l++){var u=n.get(l),c=u.anchorPoint._matMult(o),h=c.x,f=c.y,d=h+u.x1,p=f+u.y1*s,m=h+u.x2,g=f+u.y2*s;if(u.bbox0=d,u.bbox1=p,u.bbox2=m,u.bbox3=g,!e)for(var v=this.grid.query(d,p,m,g),y=0;y<v.length;y++){var b=n.get(v[y]),x=b.anchorPoint._matMult(o);if((a=this.getPlacementScale(a,c,u,x,b))>=this.maxScale)return a}if(r){var _;if(this.angle){var w=this.reverseRotationMatrix,M=new i(u.x1,u.y1).matMult(w),k=new i(u.x2,u.y1).matMult(w),A=new i(u.x1,u.y2).matMult(w),T=new i(u.x2,u.y2).matMult(w);_=this.tempCollisionBox,_.anchorPointX=u.anchorPoint.x,_.anchorPointY=u.anchorPoint.y,_.x1=Math.min(M.x,k.x,A.x,T.x),_.y1=Math.min(M.y,k.x,A.x,T.x),_.x2=Math.max(M.x,k.x,A.x,T.x),_.y2=Math.max(M.y,k.x,A.x,T.x),_.maxScale=u.maxScale}else _=u;for(var S=0;S<this.edges.length;S++){var E=this.edges[S];if((a=this.getPlacementScale(a,u.anchorPoint,_,E.anchorPoint,E))>=this.maxScale)return a}}}return a},n.prototype.queryRenderedSymbols=function(t,e,r,n,a){var o={},s=[],l=this.collisionBoxArray,u=this.rotationMatrix,c=new i(t,e)._matMult(u),h=this.tempCollisionBox;h.anchorX=c.x,h.anchorY=c.y,h.x1=0,h.y1=0,h.x2=r-t,h.y2=n-e,h.maxScale=a,a=h.maxScale;for(var f=[c.x+h.x1/a,c.y+h.y1/a*this.yStretch,c.x+h.x2/a,c.y+h.y2/a*this.yStretch],d=this.grid.query(f[0],f[1],f[2],f[3]),p=this.ignoredGrid.query(f[0],f[1],f[2],f[3]),m=0;m<p.length;m++)d.push(p[m]);for(var g=0;g<d.length;g++){var v=l.get(d[g]),y=v.sourceLayerIndex,b=v.featureIndex;if(void 0===o[y]&&(o[y]={}),!o[y][b]){var x=v.anchorPoint.matMult(u);this.getPlacementScale(this.minScale,c,h,x,v)>=a&&(o[y][b]=!0,s.push(d[g]))}}return s},n.prototype.getPlacementScale=function(t,e,r,n,i){var a=e.x-n.x,o=e.y-n.y,s=(i.x1-r.x2)/a,l=(i.x2-r.x1)/a,u=(i.y1-r.y2)*this.yStretch/o,c=(i.y2-r.y1)*this.yStretch/o;(isNaN(s)||isNaN(l))&&(s=l=1),(isNaN(u)||isNaN(c))&&(u=c=1);var h=Math.min(Math.max(s,l),Math.max(u,c)),f=i.maxScale,d=r.maxScale;return h>f&&(h=f),h>d&&(h=d),h>t&&h>=i.placementScale&&(t=h),t},n.prototype.insertCollisionFeature=function(t,e,r){for(var n=r?this.ignoredGrid:this.grid,i=this.collisionBoxArray,a=t.boxStartIndex;a<t.boxEndIndex;a++){var o=i.get(a);o.placementScale=e,e<this.maxScale&&n.insert(a,o.bbox0,o.bbox1,o.bbox2,o.bbox3)}}},{\"../data/bucket\":311,\"grid-index\":271,\"point-geometry\":465}],379:[function(t,e,r){\"use strict\";function n(t,e,r,n,a,o,s,l,u){var c=n?.6*o*s:0,h=Math.max(n?n.right-n.left:0,a?a.right-a.left:0),f=0===t[0].x||t[0].x===u||0===t[0].y||t[0].y===u;e-h*s<e/4&&(e=h*s+e/4);var d=2*o;return i(t,f?e/2*l%e:(h/2+d)*s*l%e,e,c,r,h*s,f,!1,u)}function i(t,e,r,n,l,u,c,h,f){for(var d=u/2,p=0,m=0;m<t.length-1;m++)p+=t[m].dist(t[m+1]);for(var g=0,v=e-r,y=[],b=0;b<t.length-1;b++){for(var x=t[b],_=t[b+1],w=x.dist(_),M=_.angleTo(x);v+r<g+w;){v+=r;var k=(v-g)/w,A=a(x.x,_.x,k),T=a(x.y,_.y,k);if(A>=0&&A<f&&T>=0&&T<f&&v-d>=0&&v+d<=p){var S=new o(A,T,M,b)._round();n&&!s(t,S,u,n,l)||y.push(S)}}g+=w}return h||y.length||c||(y=i(t,g/2,r,n,l,u,c,!0,f)),y}var a=t(\"../util/interpolate\"),o=t(\"../symbol/anchor\"),s=t(\"./check_max_angle\");e.exports=n},{\"../symbol/anchor\":373,\"../util/interpolate\":418,\"./check_max_angle\":374}],380:[function(t,e,r){\"use strict\";function n(){this.width=o,this.height=o,this.bin=new i(this.width,this.height),this.index={},this.ids={},this.data=new Uint8Array(this.width*this.height)}var i=t(\"shelf-pack\"),a=t(\"../util/util\"),o=128;e.exports=n,n.prototype.getGlyphs=function(){var t,e,r,n={};for(var i in this.ids)t=i.split(\"#\"),e=t[0],r=t[1],n[e]||(n[e]=[]),n[e].push(r);return n},n.prototype.getRects=function(){var t,e,r,n={};for(var i in this.ids)t=i.split(\"#\"),e=t[0],r=t[1],n[e]||(n[e]={}),n[e][r]=this.index[i];return n},n.prototype.addGlyph=function(t,e,r,n){if(!r)return null;var i=e+\"#\"+r.id;if(this.index[i])return this.ids[i].indexOf(t)<0&&this.ids[i].push(t),this.index[i];if(!r.bitmap)return null;var o=r.width+2*n,s=r.height+2*n,l=o+2,u=s+2;l+=4-l%4,u+=4-u%4;var c=this.bin.packOne(l,u);if(c||(this.resize(),c=this.bin.packOne(l,u)),!c)return a.warnOnce(\"glyph bitmap overflow\"),null;this.index[i]=c,this.ids[i]=[t];for(var h=this.data,f=r.bitmap,d=0;d<s;d++)for(var p=this.width*(c.y+d+1)+c.x+1,m=o*d,g=0;g<o;g++)h[p+g]=f[m+g];return this.dirty=!0,c},n.prototype.resize=function(){var t=this.width,e=this.height;if(!(t>=2048||e>=2048)){this.texture&&(this.gl&&this.gl.deleteTexture(this.texture),this.texture=null),this.width*=4,this.height*=4,this.bin.resize(this.width,this.height);for(var r=new ArrayBuffer(this.width*this.height),n=0;n<e;n++){var i=new Uint8Array(this.data.buffer,e*n,t);new Uint8Array(r,e*n*4,t).set(i)}this.data=new Uint8Array(r)}},n.prototype.bind=function(t){this.gl=t,this.texture?t.bindTexture(t.TEXTURE_2D,this.texture):(this.texture=t.createTexture(),t.bindTexture(t.TEXTURE_2D,this.texture),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.LINEAR),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.LINEAR),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),t.texImage2D(t.TEXTURE_2D,0,t.ALPHA,this.width,this.height,0,t.ALPHA,t.UNSIGNED_BYTE,null))},n.prototype.updateTexture=function(t){this.bind(t),this.dirty&&(t.texSubImage2D(t.TEXTURE_2D,0,0,0,this.width,this.height,t.ALPHA,t.UNSIGNED_BYTE,this.data),this.dirty=!1)}},{\"../util/util\":424,\"shelf-pack\":495}],381:[function(t,e,r){\"use strict\";function n(t){this.url=t&&o(t),this.atlases={},this.stacks={},this.loading={}}function i(t,e,r){this.advance=t.advance,this.left=t.left-r-1,this.top=t.top+r+1,this.rect=e}function a(t,e,r,n){return n=n||\"abc\",r.replace(\"{s}\",n[t.length%n.length]).replace(\"{fontstack}\",t).replace(\"{range}\",e)}var o=t(\"../util/mapbox\").normalizeGlyphsURL,s=t(\"../util/ajax\").getArrayBuffer,l=t(\"../util/glyphs\"),u=t(\"../symbol/glyph_atlas\"),c=t(\"pbf\");e.exports=n,n.prototype.getSimpleGlyphs=function(t,e,r,n){void 0===this.stacks[t]&&(this.stacks[t]={}),void 0===this.atlases[t]&&(this.atlases[t]=new u);for(var a,o={},s=this.stacks[t],l=this.atlases[t],c={},h=0,f=0;f<e.length;f++){var d=e[f];if(a=Math.floor(d/256),s[a]){var p=s[a].glyphs[d],m=l.addGlyph(r,t,p,3);p&&(o[d]=new i(p,m,3))}else void 0===c[a]&&(c[a]=[],h++),c[a].push(d)}h||n(void 0,o,t);var g=function(e,a,s){if(!e)for(var u=this.stacks[t][a]=s.stacks[0],f=0;f<c[a].length;f++){var d=c[a][f],p=u.glyphs[d],m=l.addGlyph(r,t,p,3);p&&(o[d]=new i(p,m,3))}--h||n(void 0,o,t)}.bind(this);for(var v in c)this.loadRange(t,v,g)},n.prototype.loadRange=function(t,e,r){if(256*e>65535)return r(\"glyphs > 65535 not supported\");void 0===this.loading[t]&&(this.loading[t]={});var n=this.loading[t];if(n[e])n[e].push(r);else{n[e]=[r];var i=256*e+\"-\"+(256*e+255),o=a(t,i,this.url);s(o,function(t,r){for(var i=!t&&new l(new c(new Uint8Array(r))),a=0;a<n[e].length;a++)n[e][a](t,e,i);delete n[e]})}},n.prototype.getGlyphAtlas=function(t){return this.atlases[t]}},{\"../symbol/glyph_atlas\":380,\"../util/ajax\":407,\"../util/glyphs\":417,\"../util/mapbox\":421,pbf:459}],382:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){function n(n){c.push(t[n]),h.push(r[n]),f.push(e[n]),d++}function i(t,e,r){var n=u[t];return delete u[t],u[e]=n,h[n][0].pop(),h[n][0]=h[n][0].concat(r[0]),n}function a(t,e,r){var n=l[e];return delete l[e],l[t]=n,h[n][0].shift(),h[n][0]=r[0].concat(h[n][0]),n}function o(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}var s,l={},u={},c=[],h=[],f=[],d=0;for(s=0;s<t.length;s++){var p=r[s],m=e[s];if(m){var g=o(m,p),v=o(m,p,!0);if(g in u&&v in l&&u[g]!==l[v]){var y=a(g,v,p),b=i(g,v,h[y]);delete l[g],delete u[v],u[o(m,h[b],!0)]=b,h[y]=null}else g in u?i(g,v,p):v in l?a(g,v,p):(n(s),l[g]=d-1,u[v]=d-1)}else n(s)}return{features:c,textFeatures:f,geometries:h}}},{}],383:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s,l,u){this.anchorPoint=t,this.tl=e,this.tr=r,this.bl=n,this.br=i,this.tex=a,this.anchorAngle=o,this.glyphAngle=s,this.minScale=l,this.maxScale=u}function i(t,e,r,i,a,o,u,c,h){var f,d,p,m,g=e.image.rect,v=a.layout,y=e.left-1,b=y+g.w/e.image.pixelRatio,x=e.top-1,_=x+g.h/e.image.pixelRatio;if(\"none\"!==v[\"icon-text-fit\"]&&u){var w=b-y,M=_-x,k=v[\"text-size\"]/24,A=u.left*k,T=u.right*k,S=u.top*k,E=u.bottom*k,L=T-A,C=E-S,z=v[\"icon-text-fit-padding\"][0],D=v[\"icon-text-fit-padding\"][1],I=v[\"icon-text-fit-padding\"][2],P=v[\"icon-text-fit-padding\"][3],O=\"width\"===v[\"icon-text-fit\"]?.5*(C-M):0,j=\"height\"===v[\"icon-text-fit\"]?.5*(L-w):0,R=\"width\"===v[\"icon-text-fit\"]||\"both\"===v[\"icon-text-fit\"]?L:w,F=\"height\"===v[\"icon-text-fit\"]||\"both\"===v[\"icon-text-fit\"]?C:M;f=new s(A+j-P,S+O-z),d=new s(A+j+D+R,S+O-z),p=new s(A+j+D+R,S+O+I+F),m=new s(A+j-P,S+O+I+F)}else f=new s(y,x),d=new s(b,x),p=new s(b,_),m=new s(y,_);var N=a.getLayoutValue(\"icon-rotate\",c,h)*Math.PI/180;if(o){var B=i[t.segment];if(t.y===B.y&&t.x===B.x&&t.segment+1<i.length){var U=i[t.segment+1];N+=Math.atan2(t.y-U.y,t.x-U.x)+Math.PI}else N+=Math.atan2(t.y-B.y,t.x-B.x)}if(N){var V=Math.sin(N),H=Math.cos(N),q=[H,-V,V,H];f=f.matMult(q),d=d.matMult(q),m=m.matMult(q),p=p.matMult(q)}return[new n(new s(t.x,t.y),f,d,m,p,e.image.rect,0,0,l,1/0)]}function a(t,e,r,i,a,u){for(var c=a.layout[\"text-rotate\"]*Math.PI/180,h=a.layout[\"text-keep-upright\"],f=e.positionedGlyphs,d=[],p=0;p<f.length;p++){var m=f[p],g=m.glyph,v=g.rect;if(v){var y,b=(m.x+g.advance/2)*r,x=l;u?(y=[],x=o(y,t,b,i,t.segment,!0),h&&(x=Math.min(x,o(y,t,b,i,t.segment,!1)))):y=[{anchorPoint:new s(t.x,t.y),offset:0,angle:0,maxScale:1/0,minScale:l}];for(var _=m.x+g.left,w=m.y-g.top,M=_+v.w,k=w+v.h,A=new s(_,w),T=new s(M,w),S=new s(_,k),E=new s(M,k),L=0;L<y.length;L++){var C=y[L],z=A,D=T,I=S,P=E;if(c){var O=Math.sin(c),j=Math.cos(c),R=[j,-O,O,j];z=z.matMult(R),D=D.matMult(R),I=I.matMult(R),P=P.matMult(R)}var F=Math.max(C.minScale,x),N=(t.angle+C.offset+2*Math.PI)%(2*Math.PI),B=(C.angle+C.offset+2*Math.PI)%(2*Math.PI);d.push(new n(C.anchorPoint,z,D,I,P,v,N,B,F,C.maxScale))}}}return d}function o(t,e,r,n,i,a){var o=!a;r<0&&(a=!a),a&&i++;var u=new s(e.x,e.y),c=n[i],h=1/0;r=Math.abs(r);for(var f=l;;){var d=u.dist(c),p=r/d,m=Math.atan2(c.y-u.y,c.x-u.x);if(a||(m+=Math.PI),t.push({anchorPoint:u,offset:o?Math.PI:0,minScale:p,maxScale:h,angle:(m+2*Math.PI)%(2*Math.PI)}),p<=f)break;for(u=c;u.equals(c);)if(i+=a?1:-1,!(c=n[i]))return p;var g=c.sub(u)._unit();u=u.sub(g._mult(d)),h=p}return f}var s=t(\"point-geometry\");e.exports={getIconQuads:i,getGlyphQuads:a,SymbolQuad:n};var l=.5},{\"point-geometry\":465}],384:[function(t,e,r){\"use strict\";function n(t,e,r){for(var n=[],a=0,o=t.length;a<o;a++){var s=i(t[a].properties,e[\"text-field\"]);if(s){s=s.toString();var l=e[\"text-transform\"];\"uppercase\"===l?s=s.toLocaleUpperCase():\"lowercase\"===l&&(s=s.toLocaleLowerCase());for(var u=0;u<s.length;u++)r[s.charCodeAt(u)]=!0;n[a]=s}else n[a]=null}return n}var i=t(\"../util/token\");e.exports=n},{\"../util/token\":423}],385:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.codePoint=t,this.x=e,this.y=r,this.glyph=n}function i(t,e,r,n,i,a){this.positionedGlyphs=t,this.text=e,this.top=r,this.bottom=n,this.left=i,this.right=a}function a(t,e,r,a,s,l,u,c,h){for(var f=[],d=new i(f,t,h[1],h[1],h[0],h[0]),p=0,m=0;m<t.length;m++){var g=t.charCodeAt(m),v=e[g];v&&(f.push(new n(g,p,-17,v)),p+=v.advance+c)}return!!f.length&&(o(d,e,a,r,s,l,u,h),d)}function o(t,e,r,n,i,a,o,u){var c=null,d=0,p=0,m=0,g=0,v=t.positionedGlyphs;if(n)for(var y=0;y<v.length;y++){var b=v[y];if(b.x-=d,b.y+=r*m,b.x>n&&null!==c){var x=v[c+1].x;g=Math.max(x,g);for(var _=c+1;_<=y;_++)v[_].y+=r,v[_].x-=x;if(o){var w=c;h[v[c].codePoint]&&w--,s(v,e,p,w,o)}p=c+1,c=null,d+=x,m++}f[b.codePoint]&&(c=y)}var M=v[v.length-1],k=M.x+e[M.codePoint].advance;g=Math.max(g,k);var A=(m+1)*r;s(v,e,p,v.length-1,o),l(v,o,i,a,g,r,m,u),t.top+=-a*A,t.bottom=t.top+A,t.left+=-i*g,t.right=t.left+g}function s(t,e,r,n,i){for(var a=e[t[n].codePoint].advance,o=(t[n].x+a)*i,s=r;s<=n;s++)t[s].x-=o}function l(t,e,r,n,i,a,o,s){for(var l=(e-r)*i+s[0],u=(-n*(o+1)+.5)*a+s[1],c=0;c<t.length;c++)t[c].x+=l,t[c].y+=u}function u(t,e){if(!t||!t.rect)return null;var r=e[\"icon-offset\"][0],n=e[\"icon-offset\"][1],i=r-t.width/2,a=i+t.width,o=n-t.height/2;return new c(t,o,o+t.height,i,a)}function c(t,e,r,n,i){this.image=t,this.top=e,this.bottom=r,this.left=n,this.right=i}e.exports={shapeText:a,shapeIcon:u};var h={32:!0,8203:!0},f={32:!0,38:!0,43:!0,45:!0,47:!0,173:!0,183:!0,8203:!0,8208:!0,8211:!0}},{}],386:[function(t,e,r){\"use strict\";function n(t,e){this.width=t,this.height=e,this.bin=new o(t,e),this.images={},this.data=!1,this.texture=0,this.filter=0,this.pixelRatio=1,this.dirty=!0}function i(t,e,r,n,i,a,o,s,l,u,c){var h,f,d=n*e+r,p=s*a+o;if(c)for(p-=a,f=-1;f<=u;f++,d=((f+u)%u+n)*e+r,p+=a)for(h=-1;h<=l;h++)i[p+h]=t[d+(h+l)%l];else for(f=0;f<u;f++,d+=e,p+=a)for(h=0;h<l;h++)i[p+h]=t[d+h]}function a(t,e,r,n,i){this.rect=t,this.width=e,this.height=r,this.sdf=n,this.pixelRatio=i}var o=t(\"shelf-pack\"),s=t(\"../util/browser\"),l=t(\"../util/util\");e.exports=n,n.prototype.allocateImage=function(t,e){t/=this.pixelRatio,e/=this.pixelRatio;var r=t+2+(4-(t+2)%4),n=e+2+(4-(e+2)%4),i=this.bin.packOne(r,n);return i||(l.warnOnce(\"SpriteAtlas out of space.\"),null)},n.prototype.getImage=function(t,e){if(this.images[t])return this.images[t];if(!this.sprite)return null;var r=this.sprite.getSpritePosition(t);if(!r.width||!r.height)return null;var n=this.allocateImage(r.width,r.height);if(!n)return null;var i=new a(n,r.width/r.pixelRatio,r.height/r.pixelRatio,r.sdf,r.pixelRatio/this.pixelRatio);return this.images[t]=i,this.copy(n,r,e),i},n.prototype.getPosition=function(t,e){var r=this.getImage(t,e),n=r&&r.rect;if(!n)return null;var i=r.width*r.pixelRatio,a=r.height*r.pixelRatio;return{size:[r.width,r.height],tl:[(n.x+1)/this.width,(n.y+1)/this.height],br:[(n.x+1+i)/this.width,(n.y+1+a)/this.height]}},n.prototype.allocate=function(){if(!this.data){var t=Math.floor(this.width*this.pixelRatio),e=Math.floor(this.height*this.pixelRatio);this.data=new Uint32Array(t*e);for(var r=0;r<this.data.length;r++)this.data[r]=0}},n.prototype.copy=function(t,e,r){if(this.sprite.img.data){var n=new Uint32Array(this.sprite.img.data.buffer);this.allocate();var a=this.data;i(n,this.sprite.img.width,e.x,e.y,a,this.width*this.pixelRatio,(t.x+1)*this.pixelRatio,(t.y+1)*this.pixelRatio,e.width,e.height,r),this.dirty=!0}},n.prototype.setSprite=function(t){t&&(this.pixelRatio=s.devicePixelRatio>1?2:1,this.canvas&&(this.canvas.width=this.width*this.pixelRatio,this.canvas.height=this.height*this.pixelRatio)),this.sprite=t},n.prototype.addIcons=function(t,e){for(var r=0;r<t.length;r++)this.getImage(t[r]);e(null,this.images)},n.prototype.bind=function(t,e){var r=!1;this.texture?t.bindTexture(t.TEXTURE_2D,this.texture):(this.texture=t.createTexture(),t.bindTexture(t.TEXTURE_2D,this.texture),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),r=!0);var n=e?t.LINEAR:t.NEAREST;n!==this.filter&&(t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,n),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,n),this.filter=n),this.dirty&&(this.allocate(),r?t.texImage2D(t.TEXTURE_2D,0,t.RGBA,this.width*this.pixelRatio,this.height*this.pixelRatio,0,t.RGBA,t.UNSIGNED_BYTE,new Uint8Array(this.data.buffer)):t.texSubImage2D(t.TEXTURE_2D,0,0,0,this.width*this.pixelRatio,this.height*this.pixelRatio,t.RGBA,t.UNSIGNED_BYTE,new Uint8Array(this.data.buffer)),this.dirty=!1)}},{\"../util/browser\":408,\"../util/util\":424,\"shelf-pack\":495}],387:[function(t,e,r){\"use strict\";var n=t(\"../util/struct_array\"),i=t(\"../util/util\"),a=t(\"point-geometry\"),o=e.exports=new n({members:[{type:\"Uint16\",name:\"textBoxStartIndex\"},{type:\"Uint16\",name:\"textBoxEndIndex\"},{type:\"Uint16\",name:\"iconBoxStartIndex\"},{type:\"Uint16\",name:\"iconBoxEndIndex\"},{type:\"Uint16\",name:\"glyphQuadStartIndex\"},{type:\"Uint16\",name:\"glyphQuadEndIndex\"},{type:\"Uint16\",name:\"iconQuadStartIndex\"},{type:\"Uint16\",name:\"iconQuadEndIndex\"},{type:\"Int16\",name:\"anchorPointX\"},{type:\"Int16\",name:\"anchorPointY\"},{type:\"Int8\",name:\"index\"}]});i.extendAll(o.prototype.StructType.prototype,{get anchorPoint(){return new a(this.anchorPointX,this.anchorPointY)}})},{\"../util/struct_array\":422,\"../util/util\":424,\"point-geometry\":465}],388:[function(t,e,r){\"use strict\";var n=t(\"../util/struct_array\"),i=t(\"../util/util\"),a=t(\"point-geometry\"),o=t(\"./quads\").SymbolQuad,s=e.exports=new n({members:[{type:\"Int16\",name:\"anchorPointX\"},{type:\"Int16\",name:\"anchorPointY\"},{type:\"Float32\",name:\"tlX\"},{type:\"Float32\",name:\"tlY\"},{type:\"Float32\",name:\"trX\"},{type:\"Float32\",name:\"trY\"},{type:\"Float32\",name:\"blX\"},{type:\"Float32\",name:\"blY\"},{type:\"Float32\",name:\"brX\"},{type:\"Float32\",name:\"brY\"},{type:\"Int16\",name:\"texH\"},{type:\"Int16\",name:\"texW\"},{type:\"Int16\",name:\"texX\"},{type:\"Int16\",name:\"texY\"},{type:\"Float32\",name:\"anchorAngle\"},{type:\"Float32\",name:\"glyphAngle\"},{type:\"Float32\",name:\"maxScale\"},{type:\"Float32\",name:\"minScale\"}]});i.extendAll(s.prototype.StructType.prototype,{get anchorPoint(){return new a(this.anchorPointX,this.anchorPointY)},get SymbolQuad(){return new o(this.anchorPoint,new a(this.tlX,this.tlY),new a(this.trX,this.trY),new a(this.blX,this.blY),new a(this.brX,this.brY),{x:this.texX,y:this.texY,h:this.texH,w:this.texW,height:this.texH,width:this.texW},this.anchorAngle,this.glyphAngle,this.minScale,this.maxScale)}})},{\"../util/struct_array\":422,\"../util/util\":424,\"./quads\":383,\"point-geometry\":465}],389:[function(t,e,r){\"use strict\";var n=t(\"../util/dom\"),i=t(\"point-geometry\"),a={scrollZoom:t(\"./handler/scroll_zoom\"),boxZoom:t(\"./handler/box_zoom\"),dragRotate:t(\"./handler/drag_rotate\"),dragPan:t(\"./handler/drag_pan\"),keyboard:t(\"./handler/keyboard\"),doubleClickZoom:t(\"./handler/dblclick_zoom\"),touchZoomRotate:t(\"./handler/touch_zoom_rotate\")};e.exports=function(t,e){function r(t){v(\"mouseout\",t)}function o(e){t.stop(),_=n.mousePos(b,e),v(\"mousedown\",e)}function s(e){var r=t.dragRotate&&t.dragRotate.isActive();x&&!r&&v(\"contextmenu\",x),x=null,v(\"mouseup\",e)}function l(e){if(!(t.dragPan&&t.dragPan.isActive()||t.dragRotate&&t.dragRotate.isActive())){for(var r=e.toElement||e.target;r&&r!==b;)r=r.parentNode;r===b&&v(\"mousemove\",e)}}function u(e){t.stop(),y(\"touchstart\",e),!e.touches||e.touches.length>1||(w?(clearTimeout(w),w=null,v(\"dblclick\",e)):w=setTimeout(d,300))}function c(t){y(\"touchmove\",t)}function h(t){y(\"touchend\",t)}function f(t){y(\"touchcancel\",t)}function d(){w=null}function p(t){n.mousePos(b,t).equals(_)&&v(\"click\",t)}function m(t){v(\"dblclick\",t),t.preventDefault()}function g(t){x=t,t.preventDefault()}function v(e,r){var i=n.mousePos(b,r);return t.fire(e,{lngLat:t.unproject(i),point:i,originalEvent:r})}function y(e,r){var a=n.touchPos(b,r),o=a.reduce(function(t,e,r,n){return t.add(e.div(n.length))},new i(0,0));return t.fire(e,{lngLat:t.unproject(o),point:o,lngLats:a.map(function(e){return t.unproject(e)},this),points:a,originalEvent:r})}var b=t.getCanvasContainer(),x=null,_=null,w=null;for(var M in a)t[M]=new a[M](t,e),e.interactive&&e[M]&&t[M].enable();b.addEventListener(\"mouseout\",r,!1),b.addEventListener(\"mousedown\",o,!1),b.addEventListener(\"mouseup\",s,!1),b.addEventListener(\"mousemove\",l,!1),b.addEventListener(\"touchstart\",u,!1),b.addEventListener(\"touchend\",h,!1),b.addEventListener(\"touchmove\",c,!1),b.addEventListener(\"touchcancel\",f,!1),b.addEventListener(\"click\",p,!1),b.addEventListener(\"dblclick\",m,!1),b.addEventListener(\"contextmenu\",g,!1)}},{\"../util/dom\":410,\"./handler/box_zoom\":395,\"./handler/dblclick_zoom\":396,\"./handler/drag_pan\":397,\"./handler/drag_rotate\":398,\"./handler/keyboard\":399,\"./handler/scroll_zoom\":400,\"./handler/touch_zoom_rotate\":401,\"point-geometry\":465}],390:[function(t,e,r){\"use strict\";var n=t(\"../util/util\"),i=t(\"../util/interpolate\"),a=t(\"../util/browser\"),o=t(\"../geo/lng_lat\"),s=t(\"../geo/lng_lat_bounds\"),l=t(\"point-geometry\"),u=e.exports=function(){};n.extend(u.prototype,{getCenter:function(){return this.transform.center},setCenter:function(t,e){return this.jumpTo({center:t},e),this},panBy:function(t,e,r){return this.panTo(this.transform.center,n.extend({offset:l.convert(t).mult(-1)},e),r),this},panTo:function(t,e,r){return this.easeTo(n.extend({center:t},e),r)},getZoom:function(){return this.transform.zoom},setZoom:function(t,e){return this.jumpTo({zoom:t},e),this},zoomTo:function(t,e,r){return this.easeTo(n.extend({zoom:t},e),r)},zoomIn:function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},zoomOut:function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},getBearing:function(){return this.transform.bearing},setBearing:function(t,e){return this.jumpTo({bearing:t},e),this},rotateTo:function(t,e,r){return this.easeTo(n.extend({bearing:t},e),r)},resetNorth:function(t,e){return this.rotateTo(0,n.extend({duration:1e3},t),e),this},snapToNorth:function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},getPitch:function(){return this.transform.pitch},setPitch:function(t,e){return this.jumpTo({pitch:t},e),this},fitBounds:function(t,e,r){e=n.extend({padding:0,offset:[0,0],maxZoom:1/0},e),t=s.convert(t);var i=l.convert(e.offset),a=this.transform,o=a.project(t.getNorthWest()),u=a.project(t.getSouthEast()),c=u.sub(o),h=(a.width-2*e.padding-2*Math.abs(i.x))/c.x,f=(a.height-2*e.padding-2*Math.abs(i.y))/c.y;return e.center=a.unproject(o.add(u).div(2)),e.zoom=Math.min(a.scaleZoom(a.scale*Math.min(h,f)),e.maxZoom),e.bearing=0,e.linear?this.easeTo(e,r):this.flyTo(e,r)},jumpTo:function(t,e){this.stop();var r=this.transform,n=!1,i=!1,a=!1;return\"zoom\"in t&&r.zoom!==+t.zoom&&(n=!0,r.zoom=+t.zoom),\"center\"in t&&(r.center=o.convert(t.center)),\"bearing\"in t&&r.bearing!==+t.bearing&&(i=!0,r.bearing=+t.bearing),\"pitch\"in t&&r.pitch!==+t.pitch&&(a=!0,r.pitch=+t.pitch),this.fire(\"movestart\",e).fire(\"move\",e),n&&this.fire(\"zoomstart\",e).fire(\"zoom\",e).fire(\"zoomend\",e),i&&this.fire(\"rotate\",e),a&&this.fire(\"pitch\",e),this.fire(\"moveend\",e)},easeTo:function(t,e){this.stop(),t=n.extend({offset:[0,0],duration:500,easing:n.ease},t);var r,a,s=this.transform,u=l.convert(t.offset),c=this.getZoom(),h=this.getBearing(),f=this.getPitch(),d=\"zoom\"in t?+t.zoom:c,p=\"bearing\"in t?this._normalizeBearing(t.bearing,h):h,m=\"pitch\"in t?+t.pitch:f;\"center\"in t?(r=o.convert(t.center),a=s.centerPoint.add(u)):\"around\"in t?(r=o.convert(t.around),a=s.locationPoint(r)):(a=s.centerPoint.add(u),r=s.pointLocation(a));var g=s.locationPoint(r);return t.animate===!1&&(t.duration=0),this.zooming=d!==c,this.rotating=h!==p,this.pitching=m!==f,t.noMoveStart||this.fire(\"movestart\",e),this.zooming&&this.fire(\"zoomstart\",e),clearTimeout(this._onEaseEnd),this._ease(function(t){this.zooming&&(s.zoom=i(c,d,t)),this.rotating&&(s.bearing=i(h,p,t)),this.pitching&&(s.pitch=i(f,m,t)),s.setLocationAtPoint(r,g.add(a.sub(g)._mult(t))),this.fire(\"move\",e),this.zooming&&this.fire(\"zoom\",e),this.rotating&&this.fire(\"rotate\",e),this.pitching&&this.fire(\"pitch\",e)},function(){t.delayEndEvents?this._onEaseEnd=setTimeout(this._easeToEnd.bind(this,e),t.delayEndEvents):this._easeToEnd(e)}.bind(this),t),this},_easeToEnd:function(t){var e=this.zooming;this.zooming=!1,this.rotating=!1,this.pitching=!1,e&&this.fire(\"zoomend\",t),this.fire(\"moveend\",t)},flyTo:function(t,e){function r(t){var e=(A*A-k*k+(t?-1:1)*L*L*T*T)/(2*(t?A:k)*L*T);return Math.log(Math.sqrt(e*e+1)-e)}function a(t){return(Math.exp(t)-Math.exp(-t))/2}function s(t){return(Math.exp(t)+Math.exp(-t))/2}function u(t){return a(t)/s(t)}this.stop(),t=n.extend({offset:[0,0],speed:1.2,curve:1.42,easing:n.ease},t);var c=this.transform,h=l.convert(t.offset),f=this.getZoom(),d=this.getBearing(),p=this.getPitch(),m=\"center\"in t?o.convert(t.center):this.getCenter(),g=\"zoom\"in t?+t.zoom:f,v=\"bearing\"in t?this._normalizeBearing(t.bearing,d):d,y=\"pitch\"in t?+t.pitch:p;Math.abs(c.center.lng)+Math.abs(m.lng)>180&&(c.center.lng>0&&m.lng<0?m.lng+=360:c.center.lng<0&&m.lng>0&&(m.lng-=360));var b=c.zoomScale(g-f),x=c.point,_=\"center\"in t?c.project(m).sub(h.div(b)):x,w=c.worldSize,M=t.curve,k=Math.max(c.width,c.height),A=k/b,T=_.sub(x).mag();if(\"minZoom\"in t){var S=n.clamp(Math.min(t.minZoom,f,g),c.minZoom,c.maxZoom),E=k/c.zoomScale(S-f);M=Math.sqrt(E/T*2)}var L=M*M,C=r(0),z=function(t){return s(C)/s(C+M*t)},D=function(t){return k*((s(C)*u(C+M*t)-a(C))/L)/T},I=(r(1)-C)/M;if(Math.abs(T)<1e-6){if(Math.abs(k-A)<1e-6)return this.easeTo(t);var P=A<k?-1:1;I=Math.abs(Math.log(A/k))/M,D=function(){return 0},z=function(t){return Math.exp(P*M*t)}}if(\"duration\"in t)t.duration=+t.duration;else{var O=\"screenSpeed\"in t?+t.screenSpeed/M:+t.speed;t.duration=1e3*I/O}return this.zooming=!0,d!==v&&(this.rotating=!0),p!==y&&(this.pitching=!0),this.fire(\"movestart\",e),this.fire(\"zoomstart\",e),this._ease(function(t){var r=t*I,n=D(r);c.zoom=f+c.scaleZoom(1/z(r)),c.center=c.unproject(x.add(_.sub(x).mult(n)),w),this.rotating&&(c.bearing=i(d,v,t)),this.pitching&&(c.pitch=i(p,y,t)),this.fire(\"move\",e),this.fire(\"zoom\",e),this.rotating&&this.fire(\"rotate\",e),this.pitching&&this.fire(\"pitch\",e)},function(){this.zooming=!1,this.rotating=!1,this.pitching=!1,this.fire(\"zoomend\",e),this.fire(\"moveend\",e)},t),this},isEasing:function(){return!!this._abortFn},stop:function(){return this._abortFn&&(this._abortFn(),this._finishEase()),this},_ease:function(t,e,r){this._finishFn=e,this._abortFn=a.timed(function(e){t.call(this,r.easing(e)),1===e&&this._finishEase()},r.animate===!1?0:r.duration,this)},_finishEase:function(){delete this._abortFn;var t=this._finishFn;delete this._finishFn,t.call(this)},_normalizeBearing:function(t,e){t=n.wrap(t,-180,180);var r=Math.abs(t-e);return Math.abs(t-360-e)<r&&(t-=360),Math.abs(t+360-e)<r&&(t+=360),t},_updateEasing:function(t,e,r){var i;if(this.ease){var a=this.ease,o=(Date.now()-a.start)/a.duration,s=a.easing(o+.01)-a.easing(o),l=.27/Math.sqrt(s*s+1e-4)*.01,u=Math.sqrt(.0729-l*l);i=n.bezier(l,u,.25,1)}else i=r?n.bezier.apply(n,r):n.ease;return this.ease={start:(new Date).getTime(),to:Math.pow(2,e),duration:t,easing:i},i}})},{\"../geo/lng_lat\":321,\"../geo/lng_lat_bounds\":322,\"../util/browser\":408,\"../util/interpolate\":418,\"../util/util\":424,\"point-geometry\":465}],391:[function(t,e,r){\"use strict\";function n(t){o.setOptions(this,t)}var i=t(\"./control\"),a=t(\"../../util/dom\"),o=t(\"../../util/util\");e.exports=n,n.createAttributionString=function(t){var e=[];for(var r in t){var n=t[r];n.attribution&&e.indexOf(n.attribution)<0&&e.push(n.attribution)}return e.sort(function(t,e){return t.length-e.length}),e=e.filter(function(t,r){for(var n=r+1;n<e.length;n++)if(e[n].indexOf(t)>=0)return!1;return!0}),e.join(\" | \")},n.prototype=o.inherit(i,{options:{position:\"bottom-right\"},onAdd:function(t){var e=this._container=a.create(\"div\",\"mapboxgl-ctrl-attrib\",t.getContainer());return this._update(),t.on(\"source.load\",this._update.bind(this)),t.on(\"source.change\",this._update.bind(this)),t.on(\"source.remove\",this._update.bind(this)),t.on(\"moveend\",this._updateEditLink.bind(this)),e},_update:function(){this._map.style&&(this._container.innerHTML=n.createAttributionString(this._map.style.sources)),this._editLink=this._container.getElementsByClassName(\"mapbox-improve-map\")[0],this._updateEditLink()},_updateEditLink:function(){if(this._editLink){var t=this._map.getCenter();this._editLink.href=\"https://www.mapbox.com/map-feedback/#/\"+t.lng+\"/\"+t.lat+\"/\"+Math.round(this._map.getZoom()+1)}}})},{\"../../util/dom\":410,\"../../util/util\":424,\"./control\":392}],392:[function(t,e,r){\"use strict\";function n(){}var i=t(\"../../util/util\"),a=t(\"../../util/evented\");e.exports=n,n.prototype={addTo:function(t){this._map=t;var e=this._container=this.onAdd(t);if(this.options&&this.options.position){var r=this.options.position,n=t._controlCorners[r];e.className+=\" mapboxgl-ctrl\",r.indexOf(\"bottom\")!==-1?n.insertBefore(e,n.firstChild):n.appendChild(e)}return this},remove:function(){return this._container.parentNode.removeChild(this._container),this.onRemove&&this.onRemove(this._map),this._map=null,this}},i.extend(n.prototype,a)},{\"../../util/evented\":416,\"../../util/util\":424}],393:[function(t,e,r){\"use strict\";function n(t){s.setOptions(this,t)}var i=t(\"./control\"),a=t(\"../../util/browser\"),o=t(\"../../util/dom\"),s=t(\"../../util/util\");e.exports=n;var l={enableHighAccuracy:!1,timeout:6e3};n.prototype=s.inherit(i,{options:{position:\"top-right\"},onAdd:function(t){var e=this._container=o.create(\"div\",\"mapboxgl-ctrl-group\",t.getContainer());return a.supportsGeolocation?(this._container.addEventListener(\"contextmenu\",this._onContextMenu.bind(this)),this._geolocateButton=o.create(\"button\",\"mapboxgl-ctrl-icon mapboxgl-ctrl-geolocate\",this._container),this._geolocateButton.type=\"button\",this._geolocateButton.addEventListener(\"click\",this._onClickGeolocate.bind(this)),e):e},_onContextMenu:function(t){t.preventDefault()},_onClickGeolocate:function(){navigator.geolocation.getCurrentPosition(this._success.bind(this),this._error.bind(this),l),this._timeoutId=setTimeout(this._finish.bind(this),1e4)},_success:function(t){this._map.jumpTo({center:[t.coords.longitude,t.coords.latitude],zoom:17,bearing:0,pitch:0}),\n",
       "this.fire(\"geolocate\",t),this._finish()},_error:function(t){this.fire(\"error\",t),this._finish()},_finish:function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0}})},{\"../../util/browser\":408,\"../../util/dom\":410,\"../../util/util\":424,\"./control\":392}],394:[function(t,e,r){\"use strict\";function n(t){s.setOptions(this,t)}function i(t){return new MouseEvent(t.type,{button:2,buttons:2,bubbles:!0,cancelable:!0,detail:t.detail,view:t.view,screenX:t.screenX,screenY:t.screenY,clientX:t.clientX,clientY:t.clientY,movementX:t.movementX,movementY:t.movementY,ctrlKey:t.ctrlKey,shiftKey:t.shiftKey,altKey:t.altKey,metaKey:t.metaKey})}var a=t(\"./control\"),o=t(\"../../util/dom\"),s=t(\"../../util/util\");e.exports=n,n.prototype=s.inherit(a,{options:{position:\"top-right\"},onAdd:function(t){var e=\"mapboxgl-ctrl\",r=this._container=o.create(\"div\",e+\"-group\",t.getContainer());return this._container.addEventListener(\"contextmenu\",this._onContextMenu.bind(this)),this._zoomInButton=this._createButton(e+\"-icon \"+e+\"-zoom-in\",t.zoomIn.bind(t)),this._zoomOutButton=this._createButton(e+\"-icon \"+e+\"-zoom-out\",t.zoomOut.bind(t)),this._compass=this._createButton(e+\"-icon \"+e+\"-compass\",t.resetNorth.bind(t)),this._compassArrow=o.create(\"div\",\"arrow\",this._compass),this._compass.addEventListener(\"mousedown\",this._onCompassDown.bind(this)),this._onCompassMove=this._onCompassMove.bind(this),this._onCompassUp=this._onCompassUp.bind(this),t.on(\"rotate\",this._rotateCompassArrow.bind(this)),this._rotateCompassArrow(),this._el=t.getCanvasContainer(),r},_onContextMenu:function(t){t.preventDefault()},_onCompassDown:function(t){0===t.button&&(o.disableDrag(),document.addEventListener(\"mousemove\",this._onCompassMove),document.addEventListener(\"mouseup\",this._onCompassUp),this._el.dispatchEvent(i(t)),t.stopPropagation())},_onCompassMove:function(t){0===t.button&&(this._el.dispatchEvent(i(t)),t.stopPropagation())},_onCompassUp:function(t){0===t.button&&(document.removeEventListener(\"mousemove\",this._onCompassMove),document.removeEventListener(\"mouseup\",this._onCompassUp),o.enableDrag(),this._el.dispatchEvent(i(t)),t.stopPropagation())},_createButton:function(t,e){var r=o.create(\"button\",t,this._container);return r.type=\"button\",r.addEventListener(\"click\",function(){e()}),r},_rotateCompassArrow:function(){var t=\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassArrow.style.transform=t}})},{\"../../util/dom\":410,\"../../util/util\":424,\"./control\":392}],395:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),o.bindHandlers(this)}var i=t(\"../../util/dom\"),a=t(\"../../geo/lng_lat_bounds\"),o=t(\"../../util/util\");e.exports=n,n.prototype={_enabled:!1,_active:!1,isEnabled:function(){return this._enabled},isActive:function(){return this._active},enable:function(){this.isEnabled()||(this._el.addEventListener(\"mousedown\",this._onMouseDown,!1),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"mousedown\",this._onMouseDown),this._enabled=!1)},_onMouseDown:function(t){t.shiftKey&&0===t.button&&(document.addEventListener(\"mousemove\",this._onMouseMove,!1),document.addEventListener(\"keydown\",this._onKeyDown,!1),document.addEventListener(\"mouseup\",this._onMouseUp,!1),i.disableDrag(),this._startPos=i.mousePos(this._el,t),this._active=!0)},_onMouseMove:function(t){var e=this._startPos,r=i.mousePos(this._el,t);this._box||(this._box=i.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var n=Math.min(e.x,r.x),a=Math.max(e.x,r.x),o=Math.min(e.y,r.y),s=Math.max(e.y,r.y);i.setTransform(this._box,\"translate(\"+n+\"px,\"+o+\"px)\"),this._box.style.width=a-n+\"px\",this._box.style.height=s-o+\"px\"},_onMouseUp:function(t){if(0===t.button){var e=this._startPos,r=i.mousePos(this._el,t),n=new a(this._map.unproject(e),this._map.unproject(r));this._finish(),e.x===r.x&&e.y===r.y?this._fireEvent(\"boxzoomcancel\",t):this._map.fitBounds(n,{linear:!0}).fire(\"boxzoomend\",{originalEvent:t,boxZoomBounds:n})}},_onKeyDown:function(t){27===t.keyCode&&(this._finish(),this._fireEvent(\"boxzoomcancel\",t))},_finish:function(){this._active=!1,document.removeEventListener(\"mousemove\",this._onMouseMove,!1),document.removeEventListener(\"keydown\",this._onKeyDown,!1),document.removeEventListener(\"mouseup\",this._onMouseUp,!1),this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(this._box.parentNode.removeChild(this._box),this._box=null),i.enableDrag()},_fireEvent:function(t,e){return this._map.fire(t,{originalEvent:e})}}},{\"../../geo/lng_lat_bounds\":322,\"../../util/dom\":410,\"../../util/util\":424}],396:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._onDblClick=this._onDblClick.bind(this)}e.exports=n,n.prototype={_enabled:!1,isEnabled:function(){return this._enabled},enable:function(){this.isEnabled()||(this._map.on(\"dblclick\",this._onDblClick),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._map.off(\"dblclick\",this._onDblClick),this._enabled=!1)},_onDblClick:function(t){this._map.zoomTo(this._map.getZoom()+(t.originalEvent.shiftKey?-1:1),{around:t.lngLat},t)}}},{}],397:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._el=t.getCanvasContainer(),a.bindHandlers(this)}var i=t(\"../../util/dom\"),a=t(\"../../util/util\");e.exports=n;var o=a.bezier(0,0,.3,1);n.prototype={_enabled:!1,_active:!1,isEnabled:function(){return this._enabled},isActive:function(){return this._active},enable:function(){this.isEnabled()||(this._el.addEventListener(\"mousedown\",this._onDown),this._el.addEventListener(\"touchstart\",this._onDown),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"mousedown\",this._onDown),this._el.removeEventListener(\"touchstart\",this._onDown),this._enabled=!1)},_onDown:function(t){this._ignoreEvent(t)||this.isActive()||(t.touches?(document.addEventListener(\"touchmove\",this._onMove),document.addEventListener(\"touchend\",this._onTouchEnd)):(document.addEventListener(\"mousemove\",this._onMove),document.addEventListener(\"mouseup\",this._onMouseUp)),this._active=!1,this._startPos=this._pos=i.mousePos(this._el,t),this._inertia=[[Date.now(),this._pos]])},_onMove:function(t){if(!this._ignoreEvent(t)){this.isActive()||(this._active=!0,this._fireEvent(\"dragstart\",t),this._fireEvent(\"movestart\",t));var e=i.mousePos(this._el,t),r=this._map;r.stop(),this._drainInertiaBuffer(),this._inertia.push([Date.now(),e]),r.transform.setLocationAtPoint(r.transform.pointLocation(this._pos),e),this._fireEvent(\"drag\",t),this._fireEvent(\"move\",t),this._pos=e,t.preventDefault()}},_onUp:function(t){if(this.isActive()){this._active=!1,this._fireEvent(\"dragend\",t),this._drainInertiaBuffer();var e=function(){this._fireEvent(\"moveend\",t)}.bind(this),r=this._inertia;if(r.length<2)return void e();var n=r[r.length-1],i=r[0],a=n[1].sub(i[1]),s=(n[0]-i[0])/1e3;if(0===s||n[1].equals(i[1]))return void e();var l=a.mult(.3/s),u=l.mag();u>1400&&(u=1400,l._unit()._mult(u));var c=u/750,h=l.mult(-c/2);this._map.panBy(h,{duration:1e3*c,easing:o,noMoveStart:!0},{originalEvent:t})}},_onMouseUp:function(t){this._ignoreEvent(t)||(this._onUp(t),document.removeEventListener(\"mousemove\",this._onMove),document.removeEventListener(\"mouseup\",this._onMouseUp))},_onTouchEnd:function(t){this._ignoreEvent(t)||(this._onUp(t),document.removeEventListener(\"touchmove\",this._onMove),document.removeEventListener(\"touchend\",this._onTouchEnd))},_fireEvent:function(t,e){return this._map.fire(t,{originalEvent:e})},_ignoreEvent:function(t){var e=this._map;if(e.boxZoom&&e.boxZoom.isActive())return!0;if(e.dragRotate&&e.dragRotate.isActive())return!0;if(t.touches)return t.touches.length>1;if(t.ctrlKey)return!0;return\"mousemove\"===t.type?t.buttons&!1:0!==t.button},_drainInertiaBuffer:function(){for(var t=this._inertia,e=Date.now();t.length>0&&e-t[0][0]>160;)t.shift()}}},{\"../../util/dom\":410,\"../../util/util\":424}],398:[function(t,e,r){\"use strict\";function n(t,e){this._map=t,this._el=t.getCanvasContainer(),this._bearingSnap=e.bearingSnap,o.bindHandlers(this)}var i=t(\"../../util/dom\"),a=t(\"point-geometry\"),o=t(\"../../util/util\");e.exports=n;var s=o.bezier(0,0,.25,1);n.prototype={_enabled:!1,_active:!1,isEnabled:function(){return this._enabled},isActive:function(){return this._active},enable:function(){this.isEnabled()||(this._el.addEventListener(\"mousedown\",this._onDown),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"mousedown\",this._onDown),this._enabled=!1)},_onDown:function(t){if(!this._ignoreEvent(t)&&!this.isActive()){document.addEventListener(\"mousemove\",this._onMove),document.addEventListener(\"mouseup\",this._onUp),this._active=!1,this._inertia=[[Date.now(),this._map.getBearing()]],this._startPos=this._pos=i.mousePos(this._el,t),this._center=this._map.transform.centerPoint;var e=this._startPos.sub(this._center);e.mag()<200&&(this._center=this._startPos.add(new a(-200,0)._rotate(e.angle()))),t.preventDefault()}},_onMove:function(t){if(!this._ignoreEvent(t)){this.isActive()||(this._active=!0,this._fireEvent(\"rotatestart\",t),this._fireEvent(\"movestart\",t));var e=this._map;e.stop();var r=this._pos,n=i.mousePos(this._el,t),a=this._center,o=r.sub(a).angleWith(n.sub(a))/Math.PI*180,s=e.getBearing()-o,l=this._inertia,u=l[l.length-1];this._drainInertiaBuffer(),l.push([Date.now(),e._normalizeBearing(s,u[1])]),e.transform.bearing=s,this._fireEvent(\"rotate\",t),this._fireEvent(\"move\",t),this._pos=n}},_onUp:function(t){if(!this._ignoreEvent(t)&&(document.removeEventListener(\"mousemove\",this._onMove),document.removeEventListener(\"mouseup\",this._onUp),this.isActive())){this._active=!1,this._fireEvent(\"rotateend\",t),this._drainInertiaBuffer();var e=this._map,r=e.getBearing(),n=this._inertia,i=function(){Math.abs(r)<this._bearingSnap?e.resetNorth({noMoveStart:!0},{originalEvent:t}):this._fireEvent(\"moveend\",t)}.bind(this);if(n.length<2)return void i();var a=n[0],o=n[n.length-1],l=n[n.length-2],u=e._normalizeBearing(r,l[1]),c=o[1]-a[1],h=c<0?-1:1,f=(o[0]-a[0])/1e3;if(0===c||0===f)return void i();var d=Math.abs(c*(.25/f));d>180&&(d=180);var p=d/180;u+=h*d*(p/2),Math.abs(e._normalizeBearing(u,0))<this._bearingSnap&&(u=e._normalizeBearing(0,u)),e.rotateTo(u,{duration:1e3*p,easing:s,noMoveStart:!0},{originalEvent:t})}},_fireEvent:function(t,e){return this._map.fire(t,{originalEvent:e})},_ignoreEvent:function(t){var e=this._map;if(e.boxZoom&&e.boxZoom.isActive())return!0;if(e.dragPan&&e.dragPan.isActive())return!0;if(t.touches)return t.touches.length>1;var r=t.ctrlKey?1:2,n=t.ctrlKey?0:2;return\"mousemove\"===t.type?t.buttons&0===r:t.button!==n},_drainInertiaBuffer:function(){for(var t=this._inertia,e=Date.now();t.length>0&&e-t[0][0]>160;)t.shift()}}},{\"../../util/dom\":410,\"../../util/util\":424,\"point-geometry\":465}],399:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._el=t.getCanvasContainer(),this._onKeyDown=this._onKeyDown.bind(this)}e.exports=n;n.prototype={_enabled:!1,isEnabled:function(){return this._enabled},enable:function(){this.isEnabled()||(this._el.addEventListener(\"keydown\",this._onKeyDown,!1),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"keydown\",this._onKeyDown),this._enabled=!1)},_onKeyDown:function(t){if(!(t.altKey||t.ctrlKey||t.metaKey)){var e=this._map,r={originalEvent:t};if(!e.isEasing())switch(t.keyCode){case 61:case 107:case 171:case 187:e.zoomTo(Math.round(e.getZoom())+(t.shiftKey?2:1),r);break;case 189:case 109:case 173:e.zoomTo(Math.round(e.getZoom())-(t.shiftKey?2:1),r);break;case 37:t.shiftKey?e.easeTo({bearing:e.getBearing()-2},r):(t.preventDefault(),e.panBy([-80,0],r));break;case 39:t.shiftKey?e.easeTo({bearing:e.getBearing()+2},r):(t.preventDefault(),e.panBy([80,0],r));break;case 38:t.shiftKey?e.easeTo({pitch:e.getPitch()+5},r):(t.preventDefault(),e.panBy([0,-80],r));break;case 40:t.shiftKey?e.easeTo({pitch:Math.max(e.getPitch()-5,0)},r):(t.preventDefault(),e.panBy([0,80],r))}}}}},{}],400:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._el=t.getCanvasContainer(),o.bindHandlers(this)}var i=t(\"../../util/dom\"),a=t(\"../../util/browser\"),o=t(\"../../util/util\");e.exports=n;var s=\"undefined\"!=typeof navigator?navigator.userAgent.toLowerCase():\"\",l=s.indexOf(\"firefox\")!==-1,u=s.indexOf(\"safari\")!==-1&&s.indexOf(\"chrom\")===-1;n.prototype={_enabled:!1,isEnabled:function(){return this._enabled},enable:function(){this.isEnabled()||(this._el.addEventListener(\"wheel\",this._onWheel,!1),this._el.addEventListener(\"mousewheel\",this._onWheel,!1),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"wheel\",this._onWheel),this._el.removeEventListener(\"mousewheel\",this._onWheel),this._enabled=!1)},_onWheel:function(t){var e;\"wheel\"===t.type?(e=t.deltaY,l&&t.deltaMode===window.WheelEvent.DOM_DELTA_PIXEL&&(e/=a.devicePixelRatio),t.deltaMode===window.WheelEvent.DOM_DELTA_LINE&&(e*=40)):\"mousewheel\"===t.type&&(e=-t.wheelDeltaY,u&&(e/=3));var r=a.now(),n=r-(this._time||0);this._pos=i.mousePos(this._el,t),this._time=r,0!==e&&e%4.000244140625==0?(this._type=\"wheel\",e=Math.floor(e/4)):0!==e&&Math.abs(e)<4?this._type=\"trackpad\":n>400?(this._type=null,this._lastValue=e,this._timeout=setTimeout(this._onTimeout,40)):this._type||(this._type=Math.abs(n*e)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,e+=this._lastValue)),t.shiftKey&&e&&(e/=4),this._type&&this._zoom(-e,t),t.preventDefault()},_onTimeout:function(){this._type=\"wheel\",this._zoom(-this._lastValue)},_zoom:function(t,e){if(0!==t){var r=this._map,n=2/(1+Math.exp(-Math.abs(t/100)));t<0&&0!==n&&(n=1/n);var i=r.ease?r.ease.to:r.transform.scale,a=r.transform.scaleZoom(i*n);r.zoomTo(a,{duration:0,around:r.unproject(this._pos),delayEndEvents:200},{originalEvent:e})}}}},{\"../../util/browser\":408,\"../../util/dom\":410,\"../../util/util\":424}],401:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._el=t.getCanvasContainer(),a.bindHandlers(this)}var i=t(\"../../util/dom\"),a=t(\"../../util/util\");e.exports=n;var o=a.bezier(0,0,.15,1);n.prototype={_enabled:!1,isEnabled:function(){return this._enabled},enable:function(){this.isEnabled()||(this._el.addEventListener(\"touchstart\",this._onStart,!1),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"touchstart\",this._onStart),this._enabled=!1)},disableRotation:function(){this._rotationDisabled=!0},enableRotation:function(){this._rotationDisabled=!1},_onStart:function(t){if(2===t.touches.length){var e=i.mousePos(this._el,t.touches[0]),r=i.mousePos(this._el,t.touches[1]);this._startVec=e.sub(r),this._startScale=this._map.transform.scale,this._startBearing=this._map.transform.bearing,this._gestureIntent=void 0,this._inertia=[],document.addEventListener(\"touchmove\",this._onMove,!1),document.addEventListener(\"touchend\",this._onEnd,!1)}},_onMove:function(t){if(2===t.touches.length){var e=i.mousePos(this._el,t.touches[0]),r=i.mousePos(this._el,t.touches[1]),n=e.add(r).div(2),a=e.sub(r),o=a.mag()/this._startVec.mag(),s=this._rotationDisabled?0:180*a.angleWith(this._startVec)/Math.PI,l=this._map;if(this._gestureIntent){var u={duration:0,around:l.unproject(n)};\"rotate\"===this._gestureIntent&&(u.bearing=this._startBearing+s),\"zoom\"!==this._gestureIntent&&\"rotate\"!==this._gestureIntent||(u.zoom=l.transform.scaleZoom(this._startScale*o)),l.stop(),this._drainInertiaBuffer(),this._inertia.push([Date.now(),o,n]),l.easeTo(u,{originalEvent:t})}else{var c=Math.abs(1-o)>.15;Math.abs(s)>4?this._gestureIntent=\"rotate\":c&&(this._gestureIntent=\"zoom\"),this._gestureIntent&&(this._startVec=a,this._startScale=l.transform.scale,this._startBearing=l.transform.bearing)}t.preventDefault()}},_onEnd:function(t){document.removeEventListener(\"touchmove\",this._onMove),document.removeEventListener(\"touchend\",this._onEnd),this._drainInertiaBuffer();var e=this._inertia,r=this._map;if(e.length<2)return void r.snapToNorth({},{originalEvent:t});var n=e[e.length-1],i=e[0],a=r.transform.scaleZoom(this._startScale*n[1]),s=r.transform.scaleZoom(this._startScale*i[1]),l=a-s,u=(n[0]-i[0])/1e3,c=n[2];if(0===u||a===s)return void r.snapToNorth({},{originalEvent:t});var h=.15*l/u;Math.abs(h)>2.5&&(h=h>0?2.5:-2.5);var f=1e3*Math.abs(h/(12*.15)),d=a+h*f/2e3;d<0&&(d=0),r.easeTo({zoom:d,duration:f,easing:o,around:r.unproject(c)},{originalEvent:t})},_drainInertiaBuffer:function(){for(var t=this._inertia,e=Date.now();t.length>2&&e-t[0][0]>160;)t.shift()}}},{\"../../util/dom\":410,\"../../util/util\":424}],402:[function(t,e,r){\"use strict\";function n(){i.bindAll([\"_onHashChange\",\"_updateHash\"],this)}e.exports=n;var i=t(\"../util/util\");n.prototype={addTo:function(t){return this._map=t,window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},remove:function(){return window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),delete this._map,this},_onHashChange:function(){var t=location.hash.replace(\"#\",\"\").split(\"/\");return t.length>=3&&(this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:+(t[3]||0)}),!0)},_updateHash:function(){var t=this._map.getCenter(),e=this._map.getZoom(),r=this._map.getBearing(),n=Math.max(0,Math.ceil(Math.log(e)/Math.LN2)),i=\"#\"+Math.round(100*e)/100+\"/\"+t.lat.toFixed(n)+\"/\"+t.lng.toFixed(n)+(r?\"/\"+Math.round(10*r)/10:\"\");window.history.replaceState(\"\",\"\",i)}}},{\"../util/util\":424}],403:[function(t,e,r){\"use strict\";function n(t){t.parentNode&&t.parentNode.removeChild(t)}var i=t(\"../util/canvas\"),a=t(\"../util/util\"),o=t(\"../util/browser\"),s=t(\"../util/browser\").window,l=t(\"../util/evented\"),u=t(\"../util/dom\"),c=t(\"../style/style\"),h=t(\"../style/animation_loop\"),f=t(\"../render/painter\"),d=t(\"../geo/transform\"),p=t(\"./hash\"),m=t(\"./bind_handlers\"),g=t(\"./camera\"),v=t(\"../geo/lng_lat\"),y=t(\"../geo/lng_lat_bounds\"),b=t(\"point-geometry\"),x=t(\"./control/attribution\"),_={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:0,maxZoom:20,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,bearingSnap:7,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,workerCount:Math.max(o.hardwareConcurrency-1,1)},w=e.exports=function(t){if(t=a.extend({},_,t),t.workerCount<1)throw new Error(\"workerCount must an integer greater than or equal to 1.\");this._interactive=t.interactive,this._failIfMajorPerformanceCaveat=t.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=t.preserveDrawingBuffer,this._trackResize=t.trackResize,this._workerCount=t.workerCount,this._bearingSnap=t.bearingSnap,\"string\"==typeof t.container?this._container=document.getElementById(t.container):this._container=t.container,this.animationLoop=new h,this.transform=new d(t.minZoom,t.maxZoom),t.maxBounds&&this.setMaxBounds(t.maxBounds),a.bindAll([\"_forwardStyleEvent\",\"_forwardSourceEvent\",\"_forwardLayerEvent\",\"_forwardTileEvent\",\"_onStyleLoad\",\"_onStyleChange\",\"_onSourceAdd\",\"_onSourceRemove\",\"_onSourceUpdate\",\"_onWindowOnline\",\"_onWindowResize\",\"_update\",\"_render\"],this),this._setupContainer(),this._setupPainter(),this.on(\"move\",this._update.bind(this,!1)),this.on(\"zoom\",this._update.bind(this,!0)),this.on(\"moveend\",function(){this.animationLoop.set(300),this._rerender()}.bind(this)),void 0!==s&&(s.addEventListener(\"online\",this._onWindowOnline,!1),s.addEventListener(\"resize\",this._onWindowResize,!1)),m(this,t),this._hash=t.hash&&(new p).addTo(this),this._hash&&this._hash._onHashChange()||this.jumpTo({center:t.center,zoom:t.zoom,bearing:t.bearing,pitch:t.pitch}),this.stacks={},this._classes=[],this.resize(),t.classes&&this.setClasses(t.classes),t.style&&this.setStyle(t.style),t.attributionControl&&this.addControl(new x(t.attributionControl));var e=this.fire.bind(this,\"error\");this.on(\"style.error\",e),this.on(\"source.error\",e),this.on(\"tile.error\",e),this.on(\"layer.error\",e)};a.extend(w.prototype,l),a.extend(w.prototype,g.prototype),a.extend(w.prototype,{addControl:function(t){return t.addTo(this),this},addClass:function(t,e){return this._classes.indexOf(t)>=0||\"\"===t?this:(this._classes.push(t),this._classOptions=e,this.style&&this.style.updateClasses(),this._update(!0))},removeClass:function(t,e){var r=this._classes.indexOf(t);return r<0||\"\"===t?this:(this._classes.splice(r,1),this._classOptions=e,this.style&&this.style.updateClasses(),this._update(!0))},setClasses:function(t,e){for(var r={},n=0;n<t.length;n++)\"\"!==t[n]&&(r[t[n]]=!0);return this._classes=Object.keys(r),this._classOptions=e,this.style&&this.style.updateClasses(),this._update(!0)},hasClass:function(t){return this._classes.indexOf(t)>=0},getClasses:function(){return this._classes},resize:function(){var t=0,e=0;return this._container&&(t=this._container.offsetWidth||400,e=this._container.offsetHeight||300),this._canvas.resize(t,e),this.transform.resize(t,e),this.painter.resize(t,e),this.fire(\"movestart\").fire(\"move\").fire(\"resize\").fire(\"moveend\")},getBounds:function(){var t=new y(this.transform.pointLocation(new b(0,0)),this.transform.pointLocation(this.transform.size));return(this.transform.angle||this.transform.pitch)&&(t.extend(this.transform.pointLocation(new b(this.transform.size.x,0))),t.extend(this.transform.pointLocation(new b(0,this.transform.size.y)))),t},setMaxBounds:function(t){if(t){var e=y.convert(t);this.transform.lngRange=[e.getWest(),e.getEast()],this.transform.latRange=[e.getSouth(),e.getNorth()],this.transform._constrain(),this._update()}else null!==t&&void 0!==t||(this.transform.lngRange=[],this.transform.latRange=[],this._update());return this},setMinZoom:function(t){if((t=null===t||void 0===t?0:t)>=0&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between 0 and the current maxZoom, inclusive\")},setMaxZoom:function(t){if((t=null===t||void 0===t?20:t)>=this.transform.minZoom&&t<=20)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be between the current minZoom and 20, inclusive\")},project:function(t){return this.transform.locationPoint(v.convert(t))},unproject:function(t){return this.transform.pointLocation(b.convert(t))},queryRenderedFeatures:function(){var t,e={};return 2===arguments.length?(t=arguments[0],e=arguments[1]):1===arguments.length&&function(t){return t instanceof b||Array.isArray(t)}(arguments[0])?t=arguments[0]:1===arguments.length&&(e=arguments[0]),this.style.queryRenderedFeatures(this._makeQueryGeometry(t),e,this.transform.zoom,this.transform.angle)},_makeQueryGeometry:function(t){void 0===t&&(t=[b.convert([0,0]),b.convert([this.transform.width,this.transform.height])]);var e;if(t instanceof b||\"number\"==typeof t[0])e=[b.convert(t)];else{var r=[b.convert(t[0]),b.convert(t[1])];e=[r[0],new b(r[1].x,r[0].y),r[1],new b(r[0].x,r[1].y),r[0]]}return e=e.map(function(t){return this.transform.pointCoordinate(t)}.bind(this))},querySourceFeatures:function(t,e){return this.style.querySourceFeatures(t,e)},setStyle:function(t){return this.style&&(this.style.off(\"load\",this._onStyleLoad).off(\"error\",this._forwardStyleEvent).off(\"change\",this._onStyleChange).off(\"source.add\",this._onSourceAdd).off(\"source.remove\",this._onSourceRemove).off(\"source.load\",this._onSourceUpdate).off(\"source.error\",this._forwardSourceEvent).off(\"source.change\",this._onSourceUpdate).off(\"layer.add\",this._forwardLayerEvent).off(\"layer.remove\",this._forwardLayerEvent).off(\"layer.error\",this._forwardLayerEvent).off(\"tile.add\",this._forwardTileEvent).off(\"tile.remove\",this._forwardTileEvent).off(\"tile.load\",this._update).off(\"tile.error\",this._forwardTileEvent).off(\"tile.stats\",this._forwardTileEvent)._remove(),this.off(\"rotate\",this.style._redoPlacement),this.off(\"pitch\",this.style._redoPlacement)),t?(this.style=t instanceof c?t:new c(t,this.animationLoop,this._workerCount),this.style.on(\"load\",this._onStyleLoad).on(\"error\",this._forwardStyleEvent).on(\"change\",this._onStyleChange).on(\"source.add\",this._onSourceAdd).on(\"source.remove\",this._onSourceRemove).on(\"source.load\",this._onSourceUpdate).on(\"source.error\",this._forwardSourceEvent).on(\"source.change\",this._onSourceUpdate).on(\"layer.add\",this._forwardLayerEvent).on(\"layer.remove\",this._forwardLayerEvent).on(\"layer.error\",this._forwardLayerEvent).on(\"tile.add\",this._forwardTileEvent).on(\"tile.remove\",this._forwardTileEvent).on(\"tile.load\",this._update).on(\"tile.error\",this._forwardTileEvent).on(\"tile.stats\",this._forwardTileEvent),this.on(\"rotate\",this.style._redoPlacement),this.on(\"pitch\",this.style._redoPlacement),this):(this.style=null,this)},getStyle:function(){if(this.style)return this.style.serialize()},addSource:function(t,e){return this.style.addSource(t,e),this._update(!0),this},addSourceType:function(t,e,r){return this.style.addSourceType(t,e,r)},removeSource:function(t){return this.style.removeSource(t),this._update(!0),this},getSource:function(t){return this.style.getSource(t)},addLayer:function(t,e){return this.style.addLayer(t,e),this._update(!0),this},removeLayer:function(t){return this.style.removeLayer(t),this._update(!0),this},getLayer:function(t){return this.style.getLayer(t)},setFilter:function(t,e){return this.style.setFilter(t,e),this._update(!0),this},setLayerZoomRange:function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0),this},getFilter:function(t){return this.style.getFilter(t)},setPaintProperty:function(t,e,r,n){return this.style.setPaintProperty(t,e,r,n),this._update(!0),this},getPaintProperty:function(t,e,r){return this.style.getPaintProperty(t,e,r)},setLayoutProperty:function(t,e,r){return this.style.setLayoutProperty(t,e,r),this._update(!0),this},getLayoutProperty:function(t,e){return this.style.getLayoutProperty(t,e)},getContainer:function(){return this._container},getCanvasContainer:function(){return this._canvasContainer},getCanvas:function(){return this._canvas.getElement()},_setupContainer:function(){var t=this._container;t.classList.add(\"mapboxgl-map\");var e=this._canvasContainer=u.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=new i(this,e);var r=this._controlContainer=u.create(\"div\",\"mapboxgl-control-container\",t),n=this._controlCorners={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach(function(t){n[t]=u.create(\"div\",\"mapboxgl-ctrl-\"+t,r)})},_setupPainter:function(){var t=this._canvas.getWebGLContext({failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer});if(!t)return void this.fire(\"error\",{error:new Error(\"Failed to initialize WebGL\")});this.painter=new f(t,this.transform)},_contextLost:function(t){t.preventDefault(),this._frameId&&o.cancelFrame(this._frameId),this.fire(\"webglcontextlost\",{originalEvent:t})},_contextRestored:function(t){this._setupPainter(),this.resize(),this._update(),this.fire(\"webglcontextrestored\",{originalEvent:t})},loaded:function(){return!this._styleDirty&&!this._sourcesDirty&&!(!this.style||!this.style.loaded())},_update:function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this._rerender(),this):this},_render:function(){try{this.style&&this._styleDirty&&(this._styleDirty=!1,this.style.update(this._classes,this._classOptions),this._classOptions=null,this.style._recalculate(this.transform.zoom)),this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this.painter.render(this.style,{debug:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,vertices:this.vertices,rotating:this.rotating,zooming:this.zooming}),this.fire(\"render\"),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(\"load\")),this._frameId=null,this.animationLoop.stopped()||(this._styleDirty=!0),(this._sourcesDirty||this._repaint||this._styleDirty)&&this._rerender()}catch(t){this.fire(\"error\",{error:t})}return this},remove:function(){this._hash&&this._hash.remove(),o.cancelFrame(this._frameId),this.setStyle(null),void 0!==s&&s.removeEventListener(\"resize\",this._onWindowResize,!1);var t=this.painter.gl.getExtension(\"WEBGL_lose_context\");t&&t.loseContext(),n(this._canvasContainer),n(this._controlContainer),this._container.classList.remove(\"mapboxgl-map\")},_rerender:function(){this.style&&!this._frameId&&(this._frameId=o.frame(this._render))},_forwardStyleEvent:function(t){this.fire(\"style.\"+t.type,a.extend({style:t.target},t))},_forwardSourceEvent:function(t){this.fire(t.type,a.extend({style:t.target},t))},_forwardLayerEvent:function(t){this.fire(t.type,a.extend({style:t.target},t))},_forwardTileEvent:function(t){this.fire(t.type,a.extend({style:t.target},t))},_onStyleLoad:function(t){this.transform.unmodified&&this.jumpTo(this.style.stylesheet),this.style.update(this._classes,{transition:!1}),this._forwardStyleEvent(t)},_onStyleChange:function(t){this._update(!0),this._forwardStyleEvent(t)},_onSourceAdd:function(t){var e=t.source;e.onAdd&&e.onAdd(this),this._forwardSourceEvent(t)},_onSourceRemove:function(t){var e=t.source;e.onRemove&&e.onRemove(this),this._forwardSourceEvent(t)},_onSourceUpdate:function(t){this._update(),this._forwardSourceEvent(t)},_onWindowOnline:function(){this._update()},_onWindowResize:function(){this._trackResize&&this.stop().resize()._update()}}),a.extendAll(w.prototype,{_showTileBoundaries:!1,get showTileBoundaries(){return this._showTileBoundaries},set showTileBoundaries(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},_showCollisionBoxes:!1,get showCollisionBoxes(){return this._showCollisionBoxes},set showCollisionBoxes(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,this.style._redoPlacement())},_showOverdrawInspector:!1,get showOverdrawInspector(){return this._showOverdrawInspector},set showOverdrawInspector(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},_repaint:!1,get repaint(){return this._repaint},set repaint(t){this._repaint=t,this._update()},_vertices:!1,get vertices(){return this._vertices},set vertices(t){this._vertices=t,this._update()}})},{\"../geo/lng_lat\":321,\"../geo/lng_lat_bounds\":322,\"../geo/transform\":323,\"../render/painter\":337,\"../style/animation_loop\":357,\"../style/style\":360,\"../util/browser\":408,\"../util/canvas\":409,\"../util/dom\":410,\"../util/evented\":416,\"../util/util\":424,\"./bind_handlers\":389,\"./camera\":390,\"./control/attribution\":391,\"./hash\":402,\"point-geometry\":465}],404:[function(t,e,r){\"use strict\";function n(t,e){t||(t=i.create(\"div\")),t.classList.add(\"mapboxgl-marker\"),this._el=t,this._offset=o.convert(e&&e.offset||[0,0]),this._update=this._update.bind(this)}e.exports=n;var i=t(\"../util/dom\"),a=t(\"../geo/lng_lat\"),o=t(\"point-geometry\");n.prototype={addTo:function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._el),t.on(\"move\",this._update),this._update(),this},remove:function(){this._map&&(this._map.off(\"move\",this._update),this._map=null);var t=this._el.parentNode;return t&&t.removeChild(this._el),this},getLngLat:function(){return this._lngLat},setLngLat:function(t){return this._lngLat=a.convert(t),this._update(),this},getElement:function(){return this._el},_update:function(){if(this._map){var t=this._map.project(this._lngLat)._add(this._offset);i.setTransform(this._el,\"translate(\"+t.x+\"px,\"+t.y+\"px)\")}}}},{\"../geo/lng_lat\":321,\"../util/dom\":410,\"point-geometry\":465}],405:[function(t,e,r){\"use strict\";function n(t){i.setOptions(this,t),i.bindAll([\"_update\",\"_onClickClose\"],this)}e.exports=n;var i=t(\"../util/util\"),a=t(\"../util/evented\"),o=t(\"../util/dom\"),s=t(\"../geo/lng_lat\");n.prototype=i.inherit(a,{options:{closeButton:!0,closeOnClick:!0},addTo:function(t){return this._map=t,this._map.on(\"move\",this._update),this.options.closeOnClick&&this._map.on(\"click\",this._onClickClose),this._update(),this},remove:function(){\n",
       "return this._content&&this._content.parentNode&&this._content.parentNode.removeChild(this._content),this._container&&(this._container.parentNode.removeChild(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"click\",this._onClickClose),delete this._map),this.fire(\"close\"),this},getLngLat:function(){return this._lngLat},setLngLat:function(t){return this._lngLat=s.convert(t),this._update(),this},setText:function(t){return this.setDOMContent(document.createTextNode(t))},setHTML:function(t){var e,r=document.createDocumentFragment(),n=document.createElement(\"body\");for(n.innerHTML=t;;){if(!(e=n.firstChild))break;r.appendChild(e)}return this.setDOMContent(r)},setDOMContent:function(t){return 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t=0;t<this.actors.length;t++)this.actors[t].target.terminate();this.actors=[]}}},{\"./actor\":406,\"./util\":424,\"./web_worker\":411}],416:[function(t,e,r){\"use strict\";var n=t(\"./util\"),i={on:function(t,e){return this._events=this._events||{},this._events[t]=this._events[t]||[],this._events[t].push(e),this},off:function(t,e){if(!t)return delete this._events,this;if(!this.listens(t))return this;if(e){var r=this._events[t].indexOf(e);r>=0&&this._events[t].splice(r,1),this._events[t].length||delete this._events[t]}else delete this._events[t];return this},once:function(t,e){var r=function(n){this.off(t,r),e.call(this,n)}.bind(this);return this.on(t,r),this},fire:function(t,e){if(!this.listens(t))return n.endsWith(t,\"error\")&&console.error(e&&e.error||e||\"Empty error event\"),this;e=n.extend({},e),n.extend(e,{type:t,target:this});for(var r=this._events[t].slice(),i=0;i<r.length;i++)r[i].call(this,e);return this},listens:function(t){return!(!this._events||!this._events[t])}};e.exports=i},{\"./util\":424}],417:[function(t,e,r){\"use strict\";function n(t,e){this.stacks=t.readFields(i,[],e)}function i(t,e,r){if(1===t){var n=r.readMessage(a,{glyphs:{}});e.push(n)}}function a(t,e,r){if(1===t)e.name=r.readString();else if(2===t)e.range=r.readString();else if(3===t){var n=r.readMessage(o,{});e.glyphs[n.id]=n}}function o(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}e.exports=n},{}],418:[function(t,e,r){\"use strict\";function n(t,e,r){return t*(1-r)+e*r}e.exports=n,n.number=n,n.vec2=function(t,e,r){return[n(t[0],e[0],r),n(t[1],e[1],r)]},n.color=function(t,e,r){return[n(t[0],e[0],r),n(t[1],e[1],r),n(t[2],e[2],r),n(t[3],e[3],r)]},n.array=function(t,e,r){return t.map(function(t,i){return n(t,e[i],r)})}},{}],419:[function(t,e,r){\"use 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n=e.unit,i=e.target;n>=0&&(t.activeTexture(un+n),t.bindTexture(i,null),rt[n]=null),t.deleteTexture(r),e.texture=null,e.params=null,e.pixels=null,e.refCount=0,delete tt[e.id],a.textureCount--}function C(e,n){function i(t,e){var n=c.texInfo;M.call(n);var a=_();return\"number\"==typeof t?\"number\"==typeof e?y(a,0|t,0|e):y(a,0|t,0|t):t?(de.type(t,\"object\",\"invalid arguments to regl.texture\"),k(n,t),b(a,t)):y(a,1,1),n.genMipmaps&&(a.mipmask=(a.width<<1)-1),c.mipmask=a.mipmask,l(c,a),de.texture2D(n,a,r),c.internalformat=a.internalformat,i.width=a.width,i.height=a.height,S(c),x(a,nr),A(n,nr),E(),w(a),o.profile&&(c.stats.size=Ct(c.internalformat,c.type,a.width,a.height,n.genMipmaps,!1)),i.format=q[c.internalformat],i.type=G[c.type],i.mag=Y[n.magFilter],i.min=W[n.minFilter],i.wrapS=X[n.wrapS],i.wrapT=X[n.wrapT],i}function s(t,e,r,n){de(!!t,\"must specify image data\");var a=0|e,o=0|r,s=0|n,u=m();return 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c,h=C.texInfo;for(M.call(h),c=0;c<6;++c)z[c]=_();if(\"number\"!=typeof t&&t)if(\"object\"==typeof t)if(e)b(z[0],t),b(z[1],e),b(z[2],n),b(z[3],i),b(z[4],a),b(z[5],s);else if(k(h,t),u(C,t),\"faces\"in t){var f=t.faces;for(de(Array.isArray(f)&&6===f.length,\"cube faces must be a length 6 array\"),c=0;c<6;++c)de(\"object\"==typeof f[c]&&!!f[c],\"invalid input for cube map face\"),l(z[c],C),b(z[c],f[c])}else for(c=0;c<6;++c)b(z[c],t);else de.raise(\"invalid arguments to cube map\");else{var p=0|t||1;for(c=0;c<6;++c)y(z[c],p,p)}for(l(C,z[0]),h.genMipmaps?C.mipmask=(z[0].width<<1)-1:C.mipmask=z[0].mipmask,de.textureCube(C,h,z,r),C.internalformat=z[0].internalformat,d.width=z[0].width,d.height=z[0].height,S(C),c=0;c<6;++c)x(z[c],ar+c);for(A(h,ir),E(),o.profile&&(C.stats.size=Ct(C.internalformat,C.type,d.width,d.height,h.genMipmaps,!0)),d.format=q[C.internalformat],d.type=G[C.type],d.mag=Y[h.magFilter],d.min=W[h.minFilter],d.wrapS=X[h.wrapS],d.wrapT=X[h.wrapT],c=0;c<6;++c)w(z[c]);return 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o=r.points[n[a]];i.push(o.numPoints?s(o):this.points[o.id])}return i},getChildren:function(t,e){for(var r=this.trees[e+1].points[t],n=this.options.radius/(this.options.extent*Math.pow(2,e)),i=this.trees[e+1].within(r.x,r.y,n),a=[],o=0;o<i.length;o++){var l=this.trees[e+1].points[i[o]];l.parentId===t&&a.push(l.numPoints?s(l):this.points[l.id])}return a},getLeaves:function(t,e,r,n){r=r||10,n=n||0;var i=[];return this._appendLeaves(i,t,e,r,n,0),i},getTile:function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options.extent,o=this.options.radius,s=o/a,l=(r-s)/i,u=(r+1+s)/i,c={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,u),n.points,e,r,i,c),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,u),n.points,i,r,i,c),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,u),n.points,-1,r,i,c),c.features.length?c:null},getClusterExpansionZoom:function(t,e){for(;e<this.options.maxZoom;){var r=this.getChildren(t,e);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},_appendLeaves:function(t,e,r,n,i,a){for(var o=this.getChildren(e,r),s=0;s<o.length;s++){var l=o[s].properties;if(l.cluster?a+l.point_count<=i?a+=l.point_count:a=this._appendLeaves(t,l.cluster_id,r+1,n,i,a):a<i?a++:t.push(o[s]),t.length===n)break}return a},_addTileFeatures:function(t,e,r,n,i,a){for(var o=0;o<t.length;o++){var s=e[t[o]];a.features.push({type:1,geometry:[[Math.round(this.options.extent*(s.x*i-r)),Math.round(this.options.extent*(s.y*i-n))]],tags:s.numPoints?l(s):this.points[s.id].properties})}},_limitZoom:function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},_cluster:function(t,e){for(var r=[],n=this.options.radius/(this.options.extent*Math.pow(2,e)),i=0;i<t.length;i++){var o=t[i];if(!(o.zoom<=e)){o.zoom=e;var s=this.trees[e+1],l=s.within(o.x,o.y,n),u=o.numPoints||1,c=o.x*u,h=o.y*u,f=null;this.options.reduce&&(f=this.options.initial(),this._accumulate(f,o));for(var d=0;d<l.length;d++){var p=s.points[l[d]];if(e<p.zoom){var m=p.numPoints||1;p.zoom=e,c+=p.x*m,h+=p.y*m,u+=m,p.parentId=i,this.options.reduce&&this._accumulate(f,p)}}1===u?r.push(o):(o.parentId=i,r.push(a(c/u,h/u,u,i,f)))}}return r},_accumulate:function(t,e){var r=e.numPoints?e.properties:this.options.map(this.points[e.id].properties);this.options.reduce(t,r)}}},{kdbush:280}],510:[function(t,e,r){\"use strict\";function n(t){return t.split(\"\").map(function(t){return t in i?i[t]:\"\"}).join(\"\")}e.exports=n;var i={\" \":\" 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u=0;u<1<<r;++u)a.push(\"p\"+u),l.push(\"p\"+u);a.push(\"a\",\"b\",\"c\"),l.push(\"a\",\"c\"),n.push(\"vertex:function vertexFunc(\",a.join(),\"){\");for(var c=[],u=0;u<1<<r;++u)c.push(\"(p\"+u+\"<<\"+u+\")\");n.push(\"var m=(\",c.join(\"+\"),\")|0;if(m===0||m===\",(1<<(1<<r))-1,\"){return}\");var h=[],f=[];1<<(1<<r)<=128?(n.push(\"switch(m){\"),f=n):n.push(\"switch(m>>>7){\");for(var u=0;u<1<<(1<<r);++u){if(1<<(1<<r)>128&&u%128==0){h.length>0&&f.push(\"}}\");var d=\"vExtra\"+h.length;n.push(\"case \",u>>>7,\":\",d,\"(m&0x7f,\",l.join(),\");break;\"),f=[\"function \",d,\"(m,\",l.join(),\"){switch(m){\"],h.push(f)}f.push(\"case \",127&u,\":\");for(var p=new Array(r),m=new Array(r),g=new Array(r),v=new Array(r),y=0,b=0;b<r;++b)p[b]=[],m[b]=[],g[b]=0,v[b]=0;for(var b=0;b<1<<r;++b)for(var x=0;x<r;++x){var _=b^1<<x;if(!(_>b)&&!(u&1<<_)!=!(u&1<<b)){var w=1;u&1<<_?m[x].push(\"v\"+_+\"-v\"+b):(m[x].push(\"v\"+b+\"-v\"+_),w=-w),w<0?(p[x].push(\"-v\"+b+\"-v\"+_),g[x]+=2):(p[x].push(\"v\"+b+\"+v\"+_),g[x]-=2),y+=1;for(var M=0;M<r;++M)M!==x&&(_&1<<M?v[M]+=1:v[M]-=1)}}for(var k=[],x=0;x<r;++x)if(0===p[x].length)k.push(\"d\"+x+\"-0.5\");else{var A=\"\";g[x]<0?A=g[x]+\"*c\":g[x]>0&&(A=\"+\"+g[x]+\"*c\");var T=p[x].length/y*.5,S=.5+v[x]/y*.5;k.push(\"d\"+x+\"-\"+S+\"-\"+T+\"*(\"+p[x].join(\"+\")+A+\")/(\"+m[x].join(\"+\")+\")\")}f.push(\"a.push([\",k.join(),\"]);\",\"break;\")}n.push(\"}},\"),h.length>0&&f.push(\"}}\");for(var E=[],u=0;u<1<<r-1;++u)E.push(\"v\"+u);E.push(\"c0\",\"c1\",\"p0\",\"p1\",\"a\",\"b\",\"c\"),n.push(\"cell:function cellFunc(\",E.join(),\"){\");var L=s(r-1);n.push(\"if(p0){b.push(\",L.map(function(t){return\"[\"+t.map(function(t){return\"v\"+t})+\"]\"}).join(),\")}else{b.push(\",L.map(function(t){var e=t.slice();return e.reverse(),\"[\"+e.map(function(t){return\"v\"+t})+\"]\"}).join(),\")}}});function \",i,\"(array,level){var verts=[],cells=[];contour(array,verts,cells,level);return {positions:verts,cells:cells};} return \",i,\";\");for(var u=0;u<h.length;++u)n.push(h[u].join(\"\"));return new Function(\"genContour\",n.join(\"\"))(o)}function i(t,e){for(var r=l(t,e),n=r.length,i=new Array(n),a=new Array(n),o=0;o<n;++o)i[o]=[r[o]],a[o]=[o];return{positions:i,cells:a}}function a(t,e){if(t.dimension<=0)return{positions:[],cells:[]};if(1===t.dimension)return i(t,e);var r=t.order.join()+\"-\"+t.dtype,a=u[r],e=+e||0;return a||(a=u[r]=n(t.order,t.dtype)),a(t,e)}e.exports=a;var o=t(\"ndarray-extract-contour\"),s=t(\"triangulate-hypercube\"),l=t(\"zero-crossings\"),u={}},{\"ndarray-extract-contour\":438,\"triangulate-hypercube\":517,\"zero-crossings\":564}],512:[function(t,e,r){(function(r){\"use strict\";function n(t){for(var e=t.cells,r=t.positions,n=new Float32Array(6*e.length),i=0,a=0,o=0;o<e.length;++o)for(var s=e[o],l=0;l<3;++l){var u=r[s[l]];n[i++]=u[0],n[i++]=u[1]+1.4,a=Math.max(u[0],a)}return{data:n,shape:a}}function i(t,e,r){var r=r||{},o=s[t];o||(o=s[t]={\" \":{data:new Float32Array(0),shape:.2}});var l=o[e];if(!l)if(e.length<=1||!/\\d/.test(e))l=o[e]=n(a(e,{triangles:!0,font:t,textAlign:r.textAlign||\"left\",textBaseline:\"alphabetic\"}));else{for(var u=e.split(/(\\d|\\s)/),c=new Array(u.length),h=0,f=0,d=0;d<u.length;++d)c[d]=i(t,u[d]),h+=c[d].data.length,f+=c[d].shape,d>0&&(f+=.02);for(var p=new Float32Array(h),m=0,g=-.5*f,d=0;d<c.length;++d){for(var v=c[d].data,y=0;y<v.length;y+=2)p[m++]=v[y]+g,p[m++]=v[y+1];g+=c[d].shape+.02}l=o[e]={data:p,shape:f}}return l}e.exports=i;var a=t(\"vectorize-text\"),o=window||r.global||{},s=o.__TEXT_CACHE||{};o.__TEXT_CACHE={}}).call(this,t(\"_process\"))},{_process:468,\"vectorize-text\":534}],513:[function(t,e,r){\"use strict\";function n(t,e,r,n,i){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||\"sans-serif\",this.radius=r||8;var a=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=a,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=t+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(a*a),this.gridInner=new Float64Array(a*a),this.f=new Float64Array(a),this.d=new Float64Array(a),this.z=new Float64Array(a+1),this.v=new Int16Array(a),this.middle=Math.round(a/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function i(t,e,r,n,i,o,s){for(var l=0;l<e;l++){for(var u=0;u<r;u++)n[u]=t[u*e+l];for(a(n,i,o,s,r),u=0;u<r;u++)t[u*e+l]=i[u]}for(u=0;u<r;u++){for(l=0;l<e;l++)n[l]=t[u*e+l];for(a(n,i,o,s,e),l=0;l<e;l++)t[u*e+l]=Math.sqrt(i[l])}}function a(t,e,r,n,i){r[0]=0,n[0]=-o,n[1]=+o;for(var a=1,s=0;a<i;a++){for(var l=(t[a]+a*a-(t[r[s]]+r[s]*r[s]))/(2*a-2*r[s]);l<=n[s];)s--,l=(t[a]+a*a-(t[r[s]]+r[s]*r[s]))/(2*a-2*r[s]);s++,r[s]=a,n[s]=l,n[s+1]=+o}for(a=0,s=0;a<i;a++){for(;n[s+1]<a;)s++;e[a]=(a-r[s])*(a-r[s])+t[r[s]]}}e.exports=n;var o=1e20;n.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=e.data,n=0;n<this.size*this.size;n++){var a=r[4*n+3]/255;this.gridOuter[n]=1===a?0:0===a?o:Math.pow(Math.max(0,.5-a),2),this.gridInner[n]=1===a?o:0===a?0:Math.pow(Math.max(0,a-.5),2)}for(i(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),i(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var s=this.gridOuter[n]-this.gridInner[n],l=Math.max(0,Math.min(255,Math.round(255-255*(s/this.radius+this.cutoff))));r[4*n+0]=l,r[4*n+1]=l,r[4*n+2]=l,r[4*n+3]=255}return e}},{}],514:[function(e,r,n){!function(e){function 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e=this._validate(t,this.minMonth,this.minDay,i.local.invalidYear),t=e.year()+(e.year()<0?1:0);return t%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,i.local.invalidYear||i.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,i.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidDate);return t=n.year(),t<0&&t++,n.day()+30*(n.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return 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this._validate(t,this.minMonth,this.minDay,i.local.invalidYear),13},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,i.local.invalidYear),400},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/8)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,i.local.invalidMonth);return this.daysPerMonth[r.month()-1]},daysInWeek:function(){return 8},dayOfWeek:function(t,e,r){return(this._validate(t,e,r,i.local.invalidDate).day()+1)%8},weekDay:function(t,e,r){var n=this.dayOfWeek(t,e,r);return n>=2&&n<=6},extraInfo:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidDate);return{century:o[Math.floor((n.year()-1)/100)+1]||\"\"}},toJD:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidDate);return t=n.year()+(n.year()<0?1:0),e=n.month(),(r=n.day())+(e>1?16:0)+(e>2?32*(e-2):0)+400*(t-1)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t+.5)-Math.floor(this.jdEpoch)-1;var e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};i.calendars.discworld=n},{\"../main\":561,\"object-assign\":452}],550:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}var i=t(\"../main\"),a=t(\"object-assign\");n.prototype=new 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this._validate(t,this.minMonth,this.minDay,i.local.invalidYear||i.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,i.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidDate);return t=n.year(),t<0&&t++,n.day()+30*(n.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return this.newDate(r,n,i)}}),i.calendars.ethiopian=n},{\"../main\":561,\"object-assign\":452}],551:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function i(t,e){return t-e*Math.floor(t/e)}var a=t(\"../main\"),o=t(\"object-assign\");n.prototype=new a.baseCalendar,o(n.prototype,{name:\"Hebrew\",jdEpoch:347995.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29,29],hasYearZero:!1,minMonth:1,firstMonth:7,minDay:1,regionalOptions:{\"\":{name:\"Hebrew\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Nisan\",\"Iyar\",\"Sivan\",\"Tammuz\",\"Av\",\"Elul\",\"Tishrei\",\"Cheshvan\",\"Kislev\",\"Tevet\",\"Shevat\",\"Adar\",\"Adar II\"],monthNamesShort:[\"Nis\",\"Iya\",\"Siv\",\"Tam\",\"Av\",\"Elu\",\"Tis\",\"Che\",\"Kis\",\"Tev\",\"She\",\"Ada\",\"Ad2\"],dayNames:[\"Yom Rishon\",\"Yom Sheni\",\"Yom Shlishi\",\"Yom Revi'i\",\"Yom Chamishi\",\"Yom Shishi\",\"Yom 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       ";return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return t=this._validate(t,this.minMonth,this.minDay,a.local.invalidYear).year(),this.toJD(t===-1?1:t+1,7,1)-this.toJD(t,7,1)},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,a.local.invalidMonth),12===e&&this.leapYear(t)?30:8===e&&5===i(this.daysInYear(t),10)?30:9===e&&3===i(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var n=this._validate(t,e,r,a.local.invalidDate);return{yearType:(this.leapYear(n)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(n)%10-3]}},toJD:function(t,e,r){var n=this._validate(t,e,r,a.local.invalidDate);t=n.year(),e=n.month(),r=n.day();var i=t<=0?t+1:t,o=this.jdEpoch+this._delay1(i)+this._delay2(i)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(var s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(var s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return i(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(e===-1?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),a.calendars.hebrew=n},{\"../main\":561,\"object-assign\":452}],552:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}var i=t(\"../main\"),a=t(\"object-assign\");n.prototype=new i.baseCalendar,a(n.prototype,{name:\"Islamic\",jdEpoch:1948439.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Islamic\",epochs:[\"BH\",\"AH\"],monthNames:[\"Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' al-thani\",\"Jumada al-awwal\",\"Jumada al-thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-ahad\",\"Yawm al-ithnayn\",\"Yawm ath-thulaathaa'\",\"Yawm al-arbi'aa'\",\"Yawm al-kham\\u012bs\",\"Yawm al-jum'a\",\"Yawm as-sabt\"],dayNamesShort:[\"Aha\",\"Ith\",\"Thu\",\"Arb\",\"Kha\",\"Jum\",\"Sab\"],dayNamesMin:[\"Ah\",\"It\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!1}},leapYear:function(t){return(11*this._validate(t,this.minMonth,this.minDay,i.local.invalidYear).year()+14)%30<11},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return this.leapYear(t)?355:354},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,i.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidDate);return t=n.year(),e=n.month(),r=n.day(),t=t<=0?t+1:t,r+Math.ceil(29.5*(e-1))+354*(t-1)+Math.floor((3+11*t)/30)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t)+.5;var e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),i.calendars.islamic=n},{\"../main\":561,\"object-assign\":452}],553:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}var i=t(\"../main\"),a=t(\"object-assign\");n.prototype=new i.baseCalendar,a(n.prototype,{name:\"Julian\",jdEpoch:1721423.5,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Julian\",epochs:[\"BC\",\"AD\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"mm/dd/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,i.local.invalidYear),t=e.year()<0?e.year()+1:e.year();return t%4==0},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,i.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidDate);return t=n.year(),e=n.month(),r=n.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5),r=e+1524,n=Math.floor((r-122.1)/365.25),i=Math.floor(365.25*n),a=Math.floor((r-i)/30.6001),o=a-Math.floor(a<14?1:13),s=n-Math.floor(o>2?4716:4715),l=r-i-Math.floor(30.6001*a);return s<=0&&s--,this.newDate(s,o,l)}}),i.calendars.julian=n},{\"../main\":561,\"object-assign\":452}],554:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function i(t,e){return t-e*Math.floor(t/e)}function a(t,e){return 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this._validate(t,this.minMonth,this.minDay,o.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,o.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if(t=t.split(\".\"),t.length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,o.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,o.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,o.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,o.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,o.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,o.local.invalidDate),!0},extraInfo:function(t,e,r){var n=this._validate(t,e,r,o.local.invalidDate),i=n.toJD(),a=this._toHaab(i),s=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[s[0]-1],tzolkinDay:s[0],tzolkinTrecena:s[1]}},_toHaab:function(t){t-=this.jdEpoch;var e=i(t+8+340,365);return[Math.floor(e/20)+1,i(e,20)]},_toTzolkin:function(t){return t-=this.jdEpoch,[a(t+20,20),a(t+4,13)]},toJD:function(t,e,r){var n=this._validate(t,e,r,o.local.invalidDate);return n.day()+20*n.month()+360*n.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),o.calendars.mayan=n},{\"../main\":561,\"object-assign\":452}],555:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}var i=t(\"../main\"),a=t(\"object-assign\");n.prototype=new i.baseCalendar;var o=i.instance(\"gregorian\");a(n.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,i.local.invalidYear||i.regionalOptions[\"\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,i.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidMonth),t=n.year();t<0&&t++;for(var a=n.day(),s=1;s<n.month();s++)a+=this.daysPerMonth[s-1];return a+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return 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n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,i.local.invalidYear).year(),void 0===this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,i.local.invalidMonth),void 0===this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidDate);t=n.year(),e=n.month(),r=n.day();var a=i.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var u=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(u)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(u,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=i.instance(),r=e.fromJD(t),n=r.year(),a=r.dayOfYear(),o=n+56;this._createMissingCalendarData(o);for(var s=9,l=this.NEPALI_CALENDAR_DATA[o][0],u=this.NEPALI_CALENDAR_DATA[o][s]-l+1;a>u;)s++,s>12&&(s=1,o++),u+=this.NEPALI_CALENDAR_DATA[o][s];var c=this.NEPALI_CALENDAR_DATA[o][s]-(u-a);return this.newDate(o,s,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 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e=this._validate(t,this.minMonth,this.minDay,a.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,a.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var n=this._validate(t,e,r,a.local.invalidDate);t=n.year(),e=n.month(),r=n.day();var o=t-(t>=0?474:473),s=474+i(o,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(o/2820)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t)+.5;var e=t-this.toJD(475,1,1),r=Math.floor(e/1029983),n=i(e,1029983),a=2820;if(1029982!==n){var o=Math.floor(n/366),s=i(n,366);a=Math.floor((2134*o+2816*s+2815)/1028522)+o+1}var l=a+2820*r+474;l=l<=0?l-1:l;var 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i=t(\"../main\"),a=t(\"object-assign\"),o=i.instance();n.prototype=new i.baseCalendar,a(n.prototype,{name:\"Thai\",jdEpoch:1523098.5,yearsOffset:543,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Thai\",epochs:[\"BBE\",\"BE\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,i.local.invalidYear),t=this._t2gYear(e.year());return 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i=t(\"../main\"),a=t(\"object-assign\");n.prototype=new i.baseCalendar,a(n.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thal\\u0101th\\u0101\\u2019\",\"Yawm al-Arba\\u2018\\u0101\\u2019\",\"Yawm al-Kham\\u012bs\",\"Yawm al-Jum\\u2018a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,i.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,i.local.invalidMonth),n=r.toJD()-24e5+.5,a=0,s=0;s<o.length;s++){if(o[s]>n)return o[a]-o[a-1];a++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidDate),a=12*(n.year()-1)+n.month()-15292;return n.day()+o[a-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;n<o.length&&!(o[n]>e);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),s=a+1,l=i-12*a,u=e-o[r-1]+1;return this.newDate(s,l,u)},isValid:function(t,e,r){var n=i.baseCalendar.prototype.isValid.apply(this,arguments);return n&&(t=null!=t.year?t.year:t,n=t>=1276&&t<=1500),n},_validate:function(t,e,r,n){var a=i.baseCalendar.prototype._validate.apply(this,arguments);if(a.year<1276||a.year>1500)throw n.replace(/\\{0\\}/,this.local.name);return a}}),i.calendars.ummalqura=n\n",
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n(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function i(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function a(t,e){return t=\"\"+t,\"000000\".substring(0,e-t.length)+t}function o(){this.shortYearCutoff=\"+10\"}function s(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}var l=t(\"object-assign\");l(n.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance(),n.newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,function(e){return t[e]})}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),l(i.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(u.local.differentCalendars||u.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+a(Math.abs(this.year()),4)+\"-\"+a(this.month(),2)+\"-\"+a(this.day(),2)}}),l(o.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new i(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+a(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0),i=t.day();\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(!function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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i=Math.min(r,n),a=Math.max(r,n);i!==a?(f[e]=i,f[e+2]=a,u.dataBox=f,t.setRanges(f)):(t.selectBox.selectBox=[0,0,1,1],t.glplot.setDirty())}var c,h,f=t.calcDataBox(),d=l.viewBox,p=u.lastPos[0],m=u.lastPos[1],g=s.MINDRAG*l.pixelRatio,v=s.MINZOOM*l.pixelRatio;switch(i*=l.pixelRatio,a*=l.pixelRatio,a=d[3]-d[1]-a,t.fullLayout.dragmode){case\"zoom\":if(n){var y=i/(d[2]-d[0])*(f[2]-f[0])+f[0],b=a/(d[3]-d[1])*(f[3]-f[1])+f[1];u.boxInited||(u.boxStart[0]=y,u.boxStart[1]=b,u.dragStart[0]=i,u.dragStart[1]=a),u.boxEnd[0]=y,u.boxEnd[1]=b,u.boxInited=!0,u.boxEnabled||u.boxStart[0]===u.boxEnd[0]&&u.boxStart[1]===u.boxEnd[1]||(u.boxEnabled=!0);var x=Math.abs(u.dragStart[0]-i)<v,_=Math.abs(u.dragStart[1]-a)<v;if(!r()||x&&_)x&&(u.boxEnd[0]=u.boxStart[0]),_&&(u.boxEnd[1]=u.boxStart[1]);else{c=u.boxEnd[0]-u.boxStart[0],h=u.boxEnd[1]-u.boxStart[1];var w=(f[3]-f[1])/(f[2]-f[0]);Math.abs(c*w)>Math.abs(h)?(u.boxEnd[1]=u.boxStart[1]+Math.abs(c)*w*(Math.sign(h)||1),u.boxEnd[1]<f[1]?(u.boxEnd[1]=f[1],u.boxEnd[0]=u.boxStart[0]+(f[1]-u.boxStart[1])/Math.abs(w)):u.boxEnd[1]>f[3]&&(u.boxEnd[1]=f[3],u.boxEnd[0]=u.boxStart[0]+(f[3]-u.boxStart[1])/Math.abs(w))):(u.boxEnd[0]=u.boxStart[0]+Math.abs(h)/w*(Math.sign(c)||1),u.boxEnd[0]<f[0]?(u.boxEnd[0]=f[0],u.boxEnd[1]=u.boxStart[1]+(f[0]-u.boxStart[0])*Math.abs(w)):u.boxEnd[0]>f[2]&&(u.boxEnd[0]=f[2],u.boxEnd[1]=u.boxStart[1]+(f[2]-u.boxStart[0])*Math.abs(w)))}}else u.boxEnabled&&(c=u.boxStart[0]!==u.boxEnd[0],h=u.boxStart[1]!==u.boxEnd[1],c||h?(c&&(o(0,u.boxStart[0],u.boxEnd[0]),t.xaxis.autorange=!1),h&&(o(1,u.boxStart[1],u.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),u.boxEnabled=!1,u.boxInited=!1);break;case\"pan\":u.boxEnabled=!1,u.boxInited=!1,n?(u.panning||(u.dragStart[0]=i,u.dragStart[1]=a),Math.abs(u.dragStart[0]-i)<g&&(i=u.dragStart[0]),Math.abs(u.dragStart[1]-a)<g&&(a=u.dragStart[1]),c=(p-i)*(f[2]-f[0])/(l.viewBox[2]-l.viewBox[0]),h=(m-a)*(f[3]-f[1])/(l.viewBox[3]-l.viewBox[1]),f[0]+=c,f[2]+=c,f[1]+=h,f[3]+=h,t.setRanges(f),u.panning=!0,u.lastInputTime=Date.now(),e(),t.cameraChanged(),t.handleAnnotations()):u.panning&&(u.panning=!1,t.relayoutCallback())}u.lastPos[0]=i,u.lastPos[1]=a}),u.wheelListener=o(i,function(r,n){var i=t.calcDataBox(),a=l.viewBox,o=u.lastPos[0],s=u.lastPos[1];switch(t.fullLayout.dragmode){case\"zoom\":break;case\"pan\":var c=Math.exp(.1*n/(a[3]-a[1])),h=o/(a[2]-a[0])*(i[2]-i[0])+i[0],f=s/(a[3]-a[1])*(i[3]-i[1])+i[1];i[0]=(i[0]-h)*c+h,i[2]=(i[2]-h)*c+h,i[1]=(i[1]-f)*c+f,i[3]=(i[3]-f)*c+f,t.setRanges(i),u.lastInputTime=Date.now(),e(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback()}return!0}),u}var a=t(\"mouse-change\"),o=t(\"mouse-wheel\"),s=t(\"../cartesian/constants\");e.exports=i},{\"../cartesian/constants\":729,\"mouse-change\":434,\"mouse-wheel\":437}],763:[function(t,e,r){\"use strict\";function n(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=[\"x\",\"y\"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=[\"sans-serif\",\"sans-serif\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title=\"\",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont=\"sans-serif\",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}function i(t){return new n(t)}var a=t(\"../plots\"),o=t(\"../cartesian/axes\"),s=t(\"../../lib/html2unicode\"),l=t(\"../../lib/str2rgbarray\"),u=n.prototype,c=[\"xaxis\",\"yaxis\"];u.merge=function(t){this.titleEnable=!1,this.backgroundColor=l(t.plot_bgcolor);var e,r,n,i,a,o,u,h,f,d,p;for(d=0;d<2;++d){for(e=c[d],r=t[this.scene[e]._name],n=/Click to enter .+ title/.test(r.title)?\"\":r.title,p=0;p<=2;p+=2)this.labelEnable[d+p]=!1,this.labels[d+p]=s(n),this.labelColor[d+p]=l(r.titlefont.color),this.labelFont[d+p]=r.titlefont.family,this.labelSize[d+p]=r.titlefont.size,this.labelPad[d+p]=this.getLabelPad(e,r),this.tickEnable[d+p]=!1,this.tickColor[d+p]=l((r.tickfont||{}).color),this.tickAngle[d+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[d+p]=this.getTickPad(r),this.tickMarkLength[d+p]=0,this.tickMarkWidth[d+p]=r.tickwidth||0,this.tickMarkColor[d+p]=l(r.tickcolor),this.borderLineEnable[d+p]=!1,this.borderLineColor[d+p]=l(r.linecolor),this.borderLineWidth[d+p]=r.linewidth||0;u=this.hasSharedAxis(r),a=this.hasAxisInDfltPos(e,r)&&!u,o=this.hasAxisInAltrPos(e,r)&&!u,i=r.mirror||!1,h=u?String(i).indexOf(\"all\")!==-1:!!i,f=u?\"allticks\"===i:String(i).indexOf(\"ticks\")!==-1,a?this.labelEnable[d]=!0:o&&(this.labelEnable[d+2]=!0),a?this.tickEnable[d]=r.showticklabels:o&&(this.tickEnable[d+2]=r.showticklabels),(a||h)&&(this.borderLineEnable[d]=r.showline),(o||h)&&(this.borderLineEnable[d+2]=r.showline),(a||f)&&(this.tickMarkLength[d]=this.getTickMarkLength(r)),(o||f)&&(this.tickMarkLength[d+2]=this.getTickMarkLength(r)),this.gridLineEnable[d]=r.showgrid,this.gridLineColor[d]=l(r.gridcolor),this.gridLineWidth[d]=r.gridwidth,this.zeroLineEnable[d]=r.zeroline,this.zeroLineColor[d]=l(r.zerolinecolor),this.zeroLineWidth[d]=r.zerolinewidth}},u.hasSharedAxis=function(t){var e=this.scene,r=a.getSubplotIds(e.fullLayout,\"gl2d\");return 0!==o.findSubplotsWithAxis(r,t).indexOf(e.id)},u.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},u.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},u.getLabelPad=function(t,e){var r=e.titlefont.size,n=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?r*(1.5+(n?1:0))-10:r*(1.5+(n?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+r*(1.5+(n?1:.5)):10+r*(1.5+(n?.5:0)):void 0},u.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},u.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},e.exports=i},{\"../../lib/html2unicode\":683,\"../../lib/str2rgbarray\":703,\"../cartesian/axes\":724,\"../plots\":787}],764:[function(t,e,r){\"use strict\";var n=t(\"./scene2d\"),i=t(\"../plots\"),a=t(\"../../constants/xmlns_namespaces\");r.name=\"gl2d\",r.attr=[\"xaxis\",\"yaxis\"],r.idRoot=[\"x\",\"y\"],r.idRegex={x:/^x([2-9]|[1-9][0-9]+)?$/,y:/^y([2-9]|[1-9][0-9]+)?$/},r.attrRegex={x:/^xaxis([2-9]|[1-9][0-9]+)?$/,y:/^yaxis([2-9]|[1-9][0-9]+)?$/},r.attributes=t(\"../cartesian/attributes\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,a=i.getSubplotIds(e,\"gl2d\"),o=0;o<a.length;o++){var s=a[o],l=e._plots[s],u=i.getSubplotData(r,\"gl2d\",s),c=l._scene2d;void 0===c&&(c=new n({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),l._scene2d=c),c.plot(u,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var a=i.getSubplotIds(n,\"gl2d\"),o=0;o<a.length;o++){var s=a[o],l=n._plots[s];if(l._scene2d){0===i.getSubplotData(t,\"gl2d\",s).length&&(l._scene2d.destroy(),delete n._plots[s])}}},r.toSVG=function(t){for(var e=t._fullLayout,r=i.getSubplotIds(e,\"gl2d\"),n=0;n<r.length;n++){var o=e._plots[r[n]],s=o._scene2d,l=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:a.svg,\"xlink:href\":l,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),s.destroy()}}},{\"../../constants/xmlns_namespaces\":668,\"../cartesian/attributes\":723,\"../plots\":787,\"./scene2d\":765}],765:[function(t,e,r){\"use strict\";function n(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.glplotOptions=p(this),this.glplotOptions.merge(e),this.glplot=c(this.glplotOptions),this.camera=m(this),this.traces={},this.spikes=h(this.glplot),this.selectBox=f(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.bounds=[1/0,1/0,-1/0,-1/0],this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw()}function i(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1}var a,o,s=t(\"../../registry\"),l=t(\"../../plots/cartesian/axes\"),u=t(\"../../plots/cartesian/graph_interact\"),c=t(\"gl-plot2d\"),h=t(\"gl-spikes2d\"),f=t(\"gl-select-box\"),d=t(\"webgl-context\"),p=t(\"./convert\"),m=t(\"./camera\"),g=t(\"../../lib/html2unicode\"),v=t(\"../../lib/show_no_webgl_msg\"),y=t(\"../../plots/cartesian/constraints\"),b=[\"xaxis\",\"yaxis\"];e.exports=n;var x=n.prototype;x.makeFramework=function(){if(this.staticPlot){if(!(o||(a=document.createElement(\"canvas\"),o=d({canvas:a,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=a,this.gl=o}else{var t=document.createElement(\"canvas\"),e=d({canvas:t,premultipliedAlpha:!0});e||v(this),this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r),r.className+=\"user-select-none\";var n=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");n.style.position=\"absolute\",n.style.top=n.style.left=\"0px\",n.style.width=n.style.height=\"100%\",n.style[\"z-index\"]=20,n.style[\"pointer-events\"]=\"none\";var i=this.mouseContainer=document.createElement(\"div\");i.style.position=\"absolute\";var s=this.container;s.appendChild(r),s.appendChild(n),s.appendChild(i)},x.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(a),this.updateSize(this.canvas),this.glplot.setDirty(),this.glplot.draw();var e=this.glplot.gl,r=e.drawingBufferWidth,n=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var i=new Uint8Array(r*n*4);e.readPixels(0,0,r,n,e.RGBA,e.UNSIGNED_BYTE,i);for(var o=0,s=n-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var u=0;u<4;++u){var c=i[4*(r*o+l)+u];i[4*(r*o+l)+u]=i[4*(r*s+l)+u],i[4*(r*s+l)+u]=c}var h=document.createElement(\"canvas\");h.width=r,h.height=n;var f=h.getContext(\"2d\"),d=f.createImageData(r,n);d.data.set(i),f.putImageData(d,0,0);var p;switch(t){case\"jpeg\":p=h.toDataURL(\"image/jpeg\");break;case\"webp\":p=h.toDataURL(\"image/webp\");break;default:p=h.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(a),p},x.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),this.redraw&&this.redraw(),t},x.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale(),this.xaxis._length=this.glplot.viewBox[2]-this.glplot.viewBox[0],this.yaxis._length=this.glplot.viewBox[3]-this.glplot.viewBox[1];for(var t=[l.calcTicks(this.xaxis),l.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=g(t[e][r].text+\"\");return t},x.updateRefs=function(t){this.fullLayout=t;var e=l.subplotMatch,r=\"xaxis\"+this.id.match(e)[1],n=\"yaxis\"+this.id.match(e)[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},x.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout;n.xaxis.autorange=e.autorange,n.xaxis.range=e.range.slice(0),n.yaxis.autorange=r.autorange,n.yaxis.range=r.range.slice(0);var i={lastInputTime:this.camera.lastInputTime};i[e._name]=e.range.slice(0),i[r._name]=r.range.slice(0),t.emit(\"plotly_relayout\",i)},x.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();i(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},x.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&s.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},x.destroy=function(){var t=this.traces;t&&Object.keys(t).map(function(e){t[e].dispose(),delete t[e]}),this.glplot.dispose(),this.staticPlot||this.container.removeChild(this.canvas),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0},x.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.updateTraces(t,e);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s=r._size,u=this.xaxis.domain,c=this.yaxis.domain;o.viewBox=[s.l+u[0]*s.w,s.b+c[0]*s.h,i-s.r-(1-u[1])*s.w,a-s.t-(1-c[1])*s.h],this.mouseContainer.style.width=s.w*(u[1]-u[0])+\"px\",this.mouseContainer.style.height=s.h*(c[1]-c[0])+\"px\",this.mouseContainer.height=s.h*(c[1]-c[0]),this.mouseContainer.style.left=s.l+u[0]*s.w+\"px\",this.mouseContainer.style.top=s.t+(1-c[1])*s.h+\"px\";var h=this.bounds;h[0]=h[1]=1/0,h[2]=h[3]=-1/0;var f,d,p=Object.keys(this.traces);for(d=0;d<p.length;++d)for(var m=this.traces[p[d]],g=0;g<2;++g)h[g]=Math.min(h[g],m.bounds[g]),h[g+2]=Math.max(h[g+2],m.bounds[g+2]);for(d=0;d<2;++d)h[d]>h[d+2]&&(h[d]=-1,h[d+2]=1),f=this[b[d]],f._length=o.viewBox[d+2]-o.viewBox[d],l.doAutoRange(f),f.setScale();var v={_axisConstraintGroups:this.graphDiv._fullLayout._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis};y({_fullLayout:v}),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},x.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},x.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},x.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if(i=t[n],i.uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],u=this.traces[i.uid];u?u.update(i,l):(u=i._module.plot(this,i,l),this.traces[i.uid]=u)}this.glplot.objects.sort(function(t,e){return t._trace.index-e._trace.index})},x.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=0;i<this.fullData.length;i++)this.fullData[i].uid===n&&(r=this.fullData[i]);this.graphDiv.emit(e,{points:[{x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:t.pointIndex,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis}]})},x.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,s=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var l=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],c=0;c<2;c++)e.boxStart[c]===e.boxEnd[c]&&(l[c]=t.dataBox[c],l[c+2]=t.dataBox[c+2]);t.setDirty()}else if(!e.panning){this.selectBox.enabled=!1;var h=i._size,f=this.xaxis.domain,d=this.yaxis.domain;a=t.pick(o/t.pixelRatio+h.l+f[0]*h.w,s/t.pixelRatio-(h.t+(1-d[1])*h.h));var p=a&&a.object._trace.handlePick(a);if(p&&n&&this.emitPointAction(p,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&p&&(!this.lastPickResult||this.lastPickResult.traceUid!==p.trace.uid||this.lastPickResult.dataCoord[0]!==p.dataCoord[0]||this.lastPickResult.dataCoord[1]!==p.dataCoord[1])){var m=p;this.lastPickResult={traceUid:p.trace?p.trace.uid:null,dataCoord:p.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),m.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(p,\"plotly_hover\");var g=m.hoverinfo;if(\"all\"!==g){var v=g.split(\"+\");v.indexOf(\"x\")===-1&&(m.traceCoord[0]=void 0),v.indexOf(\"y\")===-1&&(m.traceCoord[1]=void 0),v.indexOf(\"z\")===-1&&(m.traceCoord[2]=void 0),v.indexOf(\"text\")===-1&&(m.textLabel=void 0),v.indexOf(\"name\")===-1&&(m.name=void 0)}u.loneHover({x:m.screenCoord[0],y:m.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",m.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",m.traceCoord[1]),zLabel:m.traceCoord[2],text:m.textLabel,name:m.name,color:m.color},{container:this.svgContainer})}}!a&&this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),u.loneUnhover(this.svgContainer)),t.draw()}},x.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return l.tickText(r,r.c2l(e),\"hover\").text}}},{\"../../lib/html2unicode\":683,\"../../lib/show_no_webgl_msg\":701,\"../../plots/cartesian/axes\":724,\"../../plots/cartesian/constraints\":731,\"../../plots/cartesian/graph_interact\":733,\"../../registry\":802,\"./camera\":762,\"./convert\":763,\"gl-plot2d\":203,\"gl-select-box\":237,\"gl-spikes2d\":246,\"webgl-context\":543}],766:[function(t,e,r){\"use strict\";function n(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];\"distanceLimits\"in e&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]),\"zoomMin\"in e&&(r[0]=e.zoomMin),\"zoomMax\"in e&&(r[1]=e.zoomMax);var n=a({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),l=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],u=0,c=t.clientWidth,h=t.clientHeight,f={keyBindingMode:\"rotate\",view:n,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:n.modes,tick:function(){var e=i(),r=this.delay,a=e-2*r;n.idle(e-r),n.recalcMatrix(a),n.flush(e-(100+2*r));for(var o=!0,s=n.computedMatrix,f=0;f<16;++f)o=o&&l[f]===s[f],l[f]=s[f];var d=t.clientWidth===c&&t.clientHeight===h;return c=t.clientWidth,h=t.clientHeight,o?!d:(u=Math.exp(n.computedRadius[0]),!0)},lookAt:function(t,e,r){n.lookAt(n.lastT(),t,e,r)},rotate:function(t,e,r){n.rotate(n.lastT(),t,e,r)},pan:function(t,e,r){n.pan(n.lastT(),t,e,r)},translate:function(t,e,r){n.translate(n.lastT(),t,e,r)}};Object.defineProperties(f,{matrix:{get:function(){return n.computedMatrix},set:function(t){return n.setMatrix(n.lastT(),t),n.computedMatrix},enumerable:!0},mode:{get:function(){return n.getMode()},set:function(t){var e=n.computedUp.slice(),r=n.computedEye.slice(),a=n.computedCenter.slice();if(n.setMode(t),\"turntable\"===t){var o=i();n._active.lookAt(o,r,a,e),n._active.lookAt(o+500,r,a,[0,0,1]),n._active.flush(o)}return n.getMode()},enumerable:!0},center:{get:function(){return n.computedCenter},set:function(t){return n.lookAt(n.lastT(),null,t),n.computedCenter},enumerable:!0},eye:{get:function(){return n.computedEye},set:function(t){return n.lookAt(n.lastT(),t),n.computedEye},enumerable:!0},up:{get:function(){return n.computedUp},set:function(t){return n.lookAt(n.lastT(),null,null,t),n.computedUp},enumerable:!0},distance:{get:function(){return u},set:function(t){return n.setDistance(n.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return n.getDistanceLimits(r)},set:function(t){return n.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",function(t){return t.preventDefault(),!1});var d=0,p=0;return o(t,function(e,r,a,o){var s=f.keyBindingMode;if(s!==!1){var l=\"rotate\"===s,c=\"pan\"===s,h=\"zoom\"===s,m=!!o.control,g=!!o.alt,v=!!o.shift,y=!!(1&e),b=!!(2&e),x=!!(4&e),_=1/t.clientHeight,w=_*(r-d),M=_*(a-p),k=f.flipX?1:-1,A=f.flipY?1:-1,T=i(),S=Math.PI*f.rotateSpeed;if((l&&y&&!m&&!g&&!v||y&&!m&&!g&&v)&&n.rotate(T,k*S*w,-A*S*M,0),(c&&y&&!m&&!g&&!v||b||y&&m&&!g&&!v)&&n.pan(T,-f.translateSpeed*w*u,f.translateSpeed*M*u,0),h&&y&&!m&&!g&&!v||x||y&&!m&&g&&!v){var E=-f.zoomSpeed*M/window.innerHeight*(T-n.lastT())*100;n.pan(T,0,0,u*(Math.exp(E)-1))}return d=r,p=a,!0}}),s(t,function(t,e){if(f.keyBindingMode!==!1){var r=f.flipX?1:-1,a=f.flipY?1:-1,o=i();if(Math.abs(t)>Math.abs(e))n.rotate(o,0,0,-t*r*Math.PI*f.rotateSpeed/window.innerWidth);else{var s=-f.zoomSpeed*a*e/window.innerHeight*(o-n.lastT())/100;n.pan(o,0,0,u*(Math.exp(s)-1))}}},!0),f}e.exports=n;var i=t(\"right-now\"),a=t(\"3d-view\"),o=t(\"mouse-change\"),s=t(\"mouse-wheel\")},{\"3d-view\":33,\"mouse-change\":434,\"mouse-wheel\":437,\"right-now\":483}],767:[function(t,e,r){\"use strict\";var n=t(\"./scene\"),i=t(\"../plots\"),a=t(\"../../lib\"),o=t(\"../../constants/xmlns_namespaces\");r.name=\"gl3d\",r.attr=\"scene\",r.idRoot=\"scene\",r.idRegex=/^scene([2-9]|[1-9][0-9]+)?$/,r.attrRegex=/^scene([2-9]|[1-9][0-9]+)?$/,r.attributes=t(\"./layout/attributes\"),r.layoutAttributes=t(\"./layout/layout_attributes\"),r.supplyLayoutDefaults=t(\"./layout/defaults\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,o=i.getSubplotIds(e,\"gl3d\"),s=0;s<o.length;s++){var l=o[s],u=i.getSubplotData(r,\"gl3d\",l),c=e[l],h=c._scene;h||(h=new n({id:l,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),c._scene=h),h.cameraInitial||(h.cameraInitial=a.extendDeep({},c.camera)),h.plot(u,e,t.layout)}},r.clean=function(t,e,r,n){for(var a=i.getSubplotIds(n,\"gl3d\"),o=0;o<a.length;o++){var s=a[o];!e[s]&&n[s]._scene&&n[s]._scene.destroy()}},r.toSVG=function(t){for(var e=t._fullLayout,r=i.getSubplotIds(e,\"gl3d\"),n=e._size,a=0;a<r.length;a++){var s=e[r[a]],l=s.domain,u=s._scene,c=u.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":c,x:n.l+n.w*l.x[0],y:n.t+n.h*(1-l.y[1]),width:n.w*(l.x[1]-l.x[0]),height:n.h*(l.y[1]-l.y[0]),preserveAspectRatio:\"none\"}),u.destroy()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),\"scene\"+e}}},{\"../../constants/xmlns_namespaces\":668,\"../../lib\":685,\"../plots\":787,\"./layout/attributes\":768,\"./layout/defaults\":772,\"./layout/layout_attributes\":773,\"./scene\":777}],768:[function(t,e,r){\"use strict\";e.exports={scene:{\n",
       "valType:\"subplotid\",dflt:\"scene\"}}},{}],769:[function(t,e,r){\"use strict\";var n=t(\"../../../components/color\"),i=t(\"../../cartesian/layout_attributes\"),a=t(\"../../../lib/extend\").extendFlat;e.exports={visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:i.title,titlefont:i.titlefont,type:i.type,autorange:i.autorange,rangemode:i.rangemode,range:i.range,tickmode:i.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,separatethousands:i.separatethousands,tickformat:i.tickformat,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth}},{\"../../../components/color\":578,\"../../../lib/extend\":677,\"../../cartesian/layout_attributes\":735}],770:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,i=t(\"../../../lib\"),a=t(\"./axis_attributes\"),o=t(\"../../cartesian/type_defaults\"),s=t(\"../../cartesian/axis_defaults\"),l=[\"xaxis\",\"yaxis\",\"zaxis\"];e.exports=function(t,e,r){function u(t,e){return i.coerce(c,h,a,t,e)}for(var c,h,f=0;f<l.length;f++){var d=l[f];c=t[d]||{},h=e[d]={_id:d[0]+r.scene,_name:d},o(c,h,u,r.data),s(c,h,u,{font:r.font,letter:d[0],data:r.data,showGrid:!0,bgColor:r.bgColor,calendar:r.calendar}),u(\"gridcolor\",n(h.color,r.bgColor,13600/187).toRgbString()),u(\"title\",d[0]),h.setScale=i.noop,u(\"showspikes\")&&(u(\"spikesides\"),u(\"spikethickness\"),u(\"spikecolor\",h.color)),u(\"showaxeslabels\"),u(\"showbackground\")&&u(\"backgroundcolor\")}}},{\"../../../lib\":685,\"../../cartesian/axis_defaults\":726,\"../../cartesian/type_defaults\":746,\"./axis_attributes\":769,tinycolor2:514}],771:[function(t,e,r){\"use strict\";function n(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}function i(t){var e=new n;return e.merge(t),e}var a=t(\"../../../lib/html2unicode\"),o=t(\"../../../lib/str2rgbarray\"),s=[\"xaxis\",\"yaxis\",\"zaxis\"];n.prototype.merge=function(t){for(var e=this,r=0;r<3;++r){var n=t[s[r]];n.visible?(e.labels[r]=a(n.title),\"titlefont\"in n&&(n.titlefont.color&&(e.labelColor[r]=o(n.titlefont.color)),n.titlefont.family&&(e.labelFont[r]=n.titlefont.family),n.titlefont.size&&(e.labelSize[r]=n.titlefont.size)),\"showline\"in n&&(e.lineEnable[r]=n.showline),\"linecolor\"in n&&(e.lineColor[r]=o(n.linecolor)),\"linewidth\"in n&&(e.lineWidth[r]=n.linewidth),\"showgrid\"in n&&(e.gridEnable[r]=n.showgrid),\"gridcolor\"in n&&(e.gridColor[r]=o(n.gridcolor)),\"gridwidth\"in n&&(e.gridWidth[r]=n.gridwidth),\"log\"===n.type?e.zeroEnable[r]=!1:\"zeroline\"in n&&(e.zeroEnable[r]=n.zeroline),\"zerolinecolor\"in n&&(e.zeroLineColor[r]=o(n.zerolinecolor)),\"zerolinewidth\"in n&&(e.zeroLineWidth[r]=n.zerolinewidth),\"ticks\"in n&&n.ticks?e.lineTickEnable[r]=!0:e.lineTickEnable[r]=!1,\"ticklen\"in n&&(e.lineTickLength[r]=e._defaultLineTickLength[r]=n.ticklen),\"tickcolor\"in n&&(e.lineTickColor[r]=o(n.tickcolor)),\"tickwidth\"in n&&(e.lineTickWidth[r]=n.tickwidth),\"tickangle\"in n&&(e.tickAngle[r]=\"auto\"===n.tickangle?0:Math.PI*-n.tickangle/180),\"showticklabels\"in n&&(e.tickEnable[r]=n.showticklabels),\"tickfont\"in n&&(n.tickfont.color&&(e.tickColor[r]=o(n.tickfont.color)),n.tickfont.family&&(e.tickFont[r]=n.tickfont.family),n.tickfont.size&&(e.tickSize[r]=n.tickfont.size)),\"mirror\"in n?[\"ticks\",\"all\",\"allticks\"].indexOf(n.mirror)!==-1?(e.lineTickMirror[r]=!0,e.lineMirror[r]=!0):n.mirror===!0?(e.lineTickMirror[r]=!1,e.lineMirror[r]=!0):(e.lineTickMirror[r]=!1,e.lineMirror[r]=!1):e.lineMirror[r]=!1,\"showbackground\"in n&&n.showbackground!==!1?(e.backgroundEnable[r]=!0,e.backgroundColor[r]=o(n.backgroundcolor)):e.backgroundEnable[r]=!1):(e.tickEnable[r]=!1,e.labelEnable[r]=!1,e.lineEnable[r]=!1,e.lineTickEnable[r]=!1,e.gridEnable[r]=!1,e.zeroEnable[r]=!1,e.backgroundEnable[r]=!1)}},e.exports=i},{\"../../../lib/html2unicode\":683,\"../../../lib/str2rgbarray\":703}],772:[function(t,e,r){\"use strict\";function n(t,e,r,n){for(var i=r(\"bgcolor\"),o=a.combine(i,n.paper_bgcolor),u=Object.keys(s.camera),c=0;c<u.length;c++)r(\"camera.\"+u[c]+\".x\"),r(\"camera.\"+u[c]+\".y\"),r(\"camera.\"+u[c]+\".z\");var h=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),f=h?\"manual\":\"auto\",d=r(\"aspectmode\",f);h||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===d&&(e.aspectmode=\"auto\")),l(t,e,{font:n.font,scene:n.id,data:n.fullData,bgColor:o,calendar:n.calendar}),r(\"dragmode\",n.getDfltFromLayout(\"dragmode\")),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}var i=t(\"../../../lib\"),a=t(\"../../../components/color\"),o=t(\"../../subplot_defaults\"),s=t(\"./layout_attributes\"),l=t(\"./axis_defaults\");e.exports=function(t,e,r){function a(e){if(!l){return i.validate(t[e],s[e])?t[e]:void 0}}var l=e._basePlotModules.length>1;o(t,e,r,{type:\"gl3d\",attributes:s,handleDefaults:n,font:e.font,fullData:r,getDfltFromLayout:a,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{\"../../../components/color\":578,\"../../../lib\":685,\"../../subplot_defaults\":794,\"./axis_defaults\":770,\"./layout_attributes\":773}],773:[function(t,e,r){\"use strict\";function n(t,e,r){return{x:{valType:\"number\",dflt:t},y:{valType:\"number\",dflt:e},z:{valType:\"number\",dflt:r}}}var i=t(\"./axis_attributes\"),a=t(\"../../../lib/extend\").extendFlat;e.exports={bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\"},camera:{up:a(n(0,0,1),{}),center:a(n(0,0,0),{}),eye:a(n(1.25,1.25,1.25),{})},domain:{x:{valType:\"info_array\",items:[{valType:\"number\",min:0,max:1},{valType:\"number\",min:0,max:1}],dflt:[0,1]},y:{valType:\"info_array\",items:[{valType:\"number\",min:0,max:1},{valType:\"number\",min:0,max:1}],dflt:[0,1]}},aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\"},aspectratio:{x:{valType:\"number\",min:0},y:{valType:\"number\",min:0},z:{valType:\"number\",min:0}},xaxis:i,yaxis:i,zaxis:i,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],dflt:\"turntable\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\"},_deprecated:{cameraposition:{valType:\"info_array\"}}}},{\"../../../lib/extend\":677,\"./axis_attributes\":769}],774:[function(t,e,r){\"use strict\";function n(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}function i(t){var e=new n;return e.merge(t),e}var a=t(\"../../../lib/str2rgbarray\"),o=[\"xaxis\",\"yaxis\",\"zaxis\"];n.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[o[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=a(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=i},{\"../../../lib/str2rgbarray\":703}],775:[function(t,e,r){\"use strict\";function n(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}function i(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,i=t.fullSceneLayout,c=[[],[],[]],h=0;h<3;++h){var f=i[l[h]];if(f._length=(r[h].hi-r[h].lo)*r[h].pixelsPerDataUnit/t.dataScale[h],1/0===Math.abs(f._length))c[h]=[];else{f.range[0]=r[h].lo/t.dataScale[h],f.range[1]=r[h].hi/t.dataScale[h],f._m=1/(t.dataScale[h]*r[h].pixelsPerDataUnit),f.range[0]===f.range[1]&&(f.range[0]-=1,f.range[1]+=1);var d=f.tickmode;if(\"auto\"===f.tickmode){f.tickmode=\"linear\";var p=f.nticks||o.constrain(f._length/40,4,9);a.autoTicks(f,Math.abs(f.range[1]-f.range[0])/p)}for(var m=a.calcTicks(f),g=0;g<m.length;++g)m[g].x=m[g].x*t.dataScale[h],m[g].text=s(m[g].text);c[h]=m,f.tickmode=d}}e.ticks=c;for(var h=0;h<3;++h){u[h]=.5*(t.glplot.bounds[0][h]+t.glplot.bounds[1][h]);for(var g=0;g<2;++g)e.bounds[g][h]=t.glplot.bounds[g][h]}t.contourLevels=n(c)}e.exports=i;var a=t(\"../../cartesian/axes\"),o=t(\"../../../lib\"),s=t(\"../../../lib/html2unicode\"),l=[\"xaxis\",\"yaxis\",\"zaxis\"],u=[0,0,0]},{\"../../../lib\":685,\"../../../lib/html2unicode\":683,\"../../cartesian/axes\":724}],776:[function(t,e,r){\"use 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b=d.split(\"+\");b.indexOf(\"x\")===-1&&(p=void 0),b.indexOf(\"y\")===-1&&(v=void 0),b.indexOf(\"z\")===-1&&(y=void 0),b.indexOf(\"text\")===-1&&(u.textLabel=void 0),b.indexOf(\"name\")===-1&&(l.name=void 0)}t.fullSceneLayout.hovermode&&g.loneHover({x:(.5+.5*f[0]/f[3])*a,y:(.5-.5*f[1]/f[3])*o,xLabel:p,yLabel:v,zLabel:y,text:u.textLabel,name:l.name,color:l.color},{container:n});var _={points:[{x:p,y:v,z:y,data:r._input,fullData:r,curveNumber:r.index,pointNumber:u.data.index}]};u.buttons&&u.distance<5?t.graphDiv.emit(\"plotly_click\",_):t.graphDiv.emit(\"plotly_hover\",_),h=_}else g.loneUnhover(n),t.graphDiv.emit(\"plotly_unhover\",h)}function i(t,e,r,i){var a={canvas:r,gl:i,container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1};if(t.staticMode){if(!(h||(c=document.createElement(\"canvas\"),h=d({canvas:c,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for 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a=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\",r.appendChild(a),this.svgContainer=a,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=_(e[this.id]),this.spikeOptions=w(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],i(this,e)}function o(t,e,r,n,i){for(var a,o=0;o<e.length;++o)if(Array.isArray(e[o]))for(var s=0;s<e[o].length;++s)a=t.d2l(e[o][s],0,i),!isNaN(a)&&isFinite(a)&&(n[0][r]=Math.min(n[0][r],a),n[1][r]=Math.max(n[1][r],a));else a=t.d2l(e[o],0,i),!isNaN(a)&&isFinite(a)&&(n[0][r]=Math.min(n[0][r],a),n[1][r]=Math.max(n[1][r],a))}function s(t,e,r){var n=t.fullSceneLayout;o(n.xaxis,e.x,0,r,e.xcalendar),o(n.yaxis,e.y,1,r,e.ycalendar),o(n.zaxis,e.z,2,r,e.zcalendar)}function l(t){return[[t.eye.x,t.eye.y,t.eye.z],[t.center.x,t.center.y,t.center.z],[t.up.x,t.up.y,t.up.z]]}function u(t){return{up:{x:t.up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]}}}var c,h,f=t(\"gl-plot3d\"),d=t(\"webgl-context\"),p=t(\"../../lib\"),m=t(\"../../plots/cartesian/axes\"),g=t(\"../../plots/cartesian/graph_interact\"),v=t(\"../../lib/str2rgbarray\"),y=t(\"../../lib/show_no_webgl_msg\"),b=t(\"./camera\"),x=t(\"./project\"),_=t(\"./layout/convert\"),w=t(\"./layout/spikes\"),M=t(\"./layout/tick_marks\"),k=a.prototype;k.recoverContext=function(){function t(){return r.isContextLost()?void requestAnimationFrame(t):i(e,e.fullLayout,n,r)?void e.plot.apply(e,e.plotArgs):void 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Context lost.\")}var e=this,r=this.glplot.gl,n=this.glplot.canvas;this.glplot.dispose(),requestAnimationFrame(t)};var A=[\"xaxis\",\"yaxis\",\"zaxis\"];k.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,i,a,o,l,u,c=e[this.id],h=r[this.id];c.bgcolor?this.glplot.clearColor=v(c.bgcolor):this.glplot.clearColor=[0,0,0,0],this.glplot.snapToData=!0,this.fullLayout=e,this.fullSceneLayout=c,this.glplotLayout=c,this.axesOptions.merge(c),this.spikeOptions.merge(c),this.setCamera(c.camera),this.updateFx(c.dragmode,c.hovermode),this.glplot.update({}),this.setConvert(l),t?Array.isArray(t)||(t=[t]):t=[];var f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(a=0;a<t.length;++a)n=t[a],n.visible===!0&&s(this,n,f);var d=[1,1,1];for(o=0;o<3;++o)f[0][o]>f[1][o]?d[o]=1:f[1][o]===f[0][o]?d[o]=1:d[o]=1/(f[1][o]-f[0][o]);for(this.dataScale=d,a=0;a<t.length;++a)n=t[a],n.visible===!0&&(i=this.traces[n.uid],i?i.update(n):(i=n._module.plot(this,n),this.traces[n.uid]=i),i.name=n.name);var p=Object.keys(this.traces);t:for(a=0;a<p.length;++a){for(o=0;o<t.length;++o)if(t[o].uid===p[a]&&t[o].visible===!0)continue t;i=this.traces[p[a]],i.dispose(),delete this.traces[p[a]]}this.glplot.objects.sort(function(t,e){return t._trace.data.index-e._trace.data.index});var m=[[0,0,0],[0,0,0]],g=[],y={};for(a=0;a<3;++a){if(l=c[A[a]],u=l.type,u in y?(y[u].acc*=d[a],y[u].count+=1):y[u]={acc:d[a],count:1},l.autorange){for(m[0][a]=1/0,m[1][a]=-1/0,o=0;o<this.glplot.objects.length;++o){var b=this.glplot.objects[o].bounds;m[0][a]=Math.min(m[0][a],b[0][a]/d[a]),m[1][a]=Math.max(m[1][a],b[1][a]/d[a])}if(\"rangemode\"in l&&\"tozero\"===l.rangemode&&(m[0][a]=Math.min(m[0][a],0),m[1][a]=Math.max(m[1][a],0)),m[0][a]>m[1][a])m[0][a]=-1,m[1][a]=1;else{var x=m[1][a]-m[0][a];m[0][a]-=x/32,m[1][a]+=x/32}}else{var _=c[A[a]].range;m[0][a]=_[0],m[1][a]=_[1]}m[0][a]===m[1][a]&&(m[0][a]-=1,m[1][a]+=1),g[a]=m[1][a]-m[0][a],this.glplot.bounds[0][a]=m[0][a]*d[a],this.glplot.bounds[1][a]=m[1][a]*d[a]}var w=[1,1,1];for(a=0;a<3;++a){l=c[A[a]],u=l.type;var M=y[u];w[a]=Math.pow(M.acc,1/M.count)/d[a]}var k;if(\"auto\"===c.aspectmode)k=Math.max.apply(null,w)/Math.min.apply(null,w)<=4?w:[1,1,1];else if(\"cube\"===c.aspectmode)k=[1,1,1];else if(\"data\"===c.aspectmode)k=w;else{if(\"manual\"!==c.aspectmode)throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");var T=c.aspectratio;k=[T.x,T.y,T.z]}c.aspectratio.x=h.aspectratio.x=k[0],c.aspectratio.y=h.aspectratio.y=k[1],c.aspectratio.z=h.aspectratio.z=k[2],this.glplot.aspect=k;var S=c.domain||null,E=e._size||null;if(S&&E){var L=this.container.style;L.position=\"absolute\",L.left=E.l+S.x[0]*E.w+\"px\",L.top=E.t+(1-S.y[1])*E.h+\"px\",L.width=E.w*(S.x[1]-S.x[0])+\"px\",L.height=E.h*(S.y[1]-S.y[0])+\"px\"}this.glplot.redraw()}},k.destroy=function(){this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null},k.getCamera=function(){return this.glplot.camera.view.recalcMatrix(this.camera.view.lastT()),u(this.glplot.camera)},k.setCamera=function(t){this.glplot.camera.lookAt.apply(this,l(t))},k.saveCamera=function(t){var e=this.getCamera(),r=p.nestedProperty(t,this.id+\".camera\"),n=r.get(),i=!1;if(void 0===n)i=!0;else for(var a=0;a<3;a++)for(var o=0;o<3;o++)if(!function(t,e,r,n){var i=[\"up\",\"center\",\"eye\"],a=[\"x\",\"y\",\"z\"];return e[i[r]]&&t[i[r]][a[n]]===e[i[r]][a[n]]}(e,n,a,o)){i=!0;break}return i&&r.set(e),i},k.updateFx=function(t,e){var r=this.camera;r&&(\"orbit\"===t?(r.mode=\"orbit\",r.keyBindingMode=\"rotate\"):\"turntable\"===t?(r.up=[0,0,1],r.mode=\"turntable\",r.keyBindingMode=\"rotate\"):r.keyBindingMode=t),this.fullSceneLayout.hovermode=e},k.toImage=function(t){t||(t=\"png\"),this.staticMode&&this.container.appendChild(c),this.glplot.redraw();var e=this.glplot.gl,r=e.drawingBufferWidth,n=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var i=new Uint8Array(r*n*4);e.readPixels(0,0,r,n,e.RGBA,e.UNSIGNED_BYTE,i);for(var a=0,o=n-1;a<o;++a,--o)for(var s=0;s<r;++s)for(var l=0;l<4;++l){var u=i[4*(r*a+s)+l];i[4*(r*a+s)+l]=i[4*(r*o+s)+l],i[4*(r*o+s)+l]=u}var h=document.createElement(\"canvas\");h.width=r,h.height=n;var f=h.getContext(\"2d\"),d=f.createImageData(r,n);d.data.set(i),f.putImageData(d,0,0);var p;switch(t){case\"jpeg\":p=h.toDataURL(\"image/jpeg\");break;case\"webp\":p=h.toDataURL(\"image/webp\");break;default:p=h.toDataURL(\"image/png\")}return this.staticMode&&this.container.removeChild(c),p},k.setConvert=function(){for(var t=0;t<3;++t){var e=this.fullSceneLayout[A[t]];m.setConvert(e,this.fullLayout),e.setScale=p.noop}},e.exports=a},{\"../../lib\":685,\"../../lib/show_no_webgl_msg\":701,\"../../lib/str2rgbarray\":703,\"../../plots/cartesian/axes\":724,\"../../plots/cartesian/graph_interact\":733,\"./camera\":766,\"./layout/convert\":771,\"./layout/spikes\":774,\"./layout/tick_marks\":775,\"./project\":776,\"gl-plot3d\":205,\"webgl-context\":543}],778:[function(t,e,r){\"use strict\";var n=t(\"../lib\"),i=n.extendFlat,a=t(\"./font_attributes\"),o=t(\"../components/color/attributes\");e.exports={font:{family:i({},a.family,{dflt:'\"Open Sans\", verdana, arial, sans-serif'}),size:i({},a.size,{dflt:12}),color:i({},a.color,{dflt:o.defaultLine})},title:{valType:\"string\",dflt:\"Click to enter Plot 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strict\";e.exports={styleUrlPrefix:\"mapbox://styles/mapbox/\",styleUrlSuffix:\"v9\",controlContainerClassName:\"mapboxgl-control-container\",noAccessTokenErrorMsg:[\"Missing Mapbox access token.\",\"Mapbox trace type require a Mapbox access token to be registered.\",\"For example:\",\"  Plotly.plot(gd, data, layout, { mapboxAccessToken: 'my-access-token' });\",\"More info here: https://www.mapbox.com/help/define-access-token/\"].join(\"\\n\"),mapOnErrorMsg:\"Mapbox error.\"}},{}],780:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){var r=t.split(\" \"),i=r[0],a=r[1],o=Array.isArray(e)?n.mean(e):e,s=.5+o/100,l=1.5+o/100,u=[\"\",\"\"],c=[0,0];switch(i){case\"top\":u[0]=\"top\",c[1]=-l;break;case\"bottom\":u[0]=\"bottom\",c[1]=l}switch(a){case\"left\":u[1]=\"right\",c[0]=-s;break;case\"right\":u[1]=\"left\",c[0]=s}var h;return h=u[0]&&u[1]?u.join(\"-\"):u[0]?u[0]:u[1]?u[1]:\"center\",{anchor:h,offset:c}}},{\"../../lib\":685}],781:[function(t,e,r){\"use 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s=a({},t.layout);if([[s,[\"plot_bgcolor\"],[\"backgroundColor\"]],[s,[\"showlegend\"],[\"showLegend\"]],[s,[\"radialaxis\"],[\"radialAxis\"]],[s,[\"angularaxis\"],[\"angularAxis\"]],[s.angularaxis,[\"showline\"],[\"gridLinesVisible\"]],[s.angularaxis,[\"showticklabels\"],[\"labelsVisible\"]],[s.angularaxis,[\"nticks\"],[\"ticksCount\"]],[s.angularaxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.angularaxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.angularaxis,[\"range\"],[\"domain\"]],[s.angularaxis,[\"endpadding\"],[\"endPadding\"]],[s.radialaxis,[\"showline\"],[\"gridLinesVisible\"]],[s.radialaxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.radialaxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.radialaxis,[\"range\"],[\"domain\"]],[s.angularAxis,[\"showline\"],[\"gridLinesVisible\"]],[s.angularAxis,[\"showticklabels\"],[\"labelsVisible\"]],[s.angularAxis,[\"nticks\"],[\"ticksCount\"]],[s.angularAxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.angularAxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.angularAxis,[\"range\"],[\"domain\"]],[s.angularAxis,[\"endpadding\"],[\"endPadding\"]],[s.radialAxis,[\"showline\"],[\"gridLinesVisible\"]],[s.radialAxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.radialAxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.radialAxis,[\"range\"],[\"domain\"]],[s.font,[\"outlinecolor\"],[\"outlineColor\"]],[s.legend,[\"traceorder\"],[\"reverseOrder\"]],[s,[\"labeloffset\"],[\"labelOffset\"]],[s,[\"defaultcolorrange\"],[\"defaultColorRange\"]]].forEach(function(t,r){o.util.translator.apply(null,t.concat(e))}),e?(void 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a=t(\"d3\"),o=t(\"tinycolor2\"),s=t(\"../../plotly\"),l=t(\"../../lib\"),u=t(\"../../components/color\"),c=t(\"../../components/drawing\"),h=t(\"../cartesian/set_convert\"),f=t(\"../../lib/extend\").extendFlat,d=t(\"../plots\"),p=t(\"../cartesian/axes\"),m=t(\"../../components/dragelement\"),g=t(\"../../components/titles\"),v=t(\"../cartesian/select\"),y=t(\"../cartesian/constants\"),b=t(\"../cartesian/graph_interact\");e.exports=n;var x=n.prototype;x.init=function(t){this.container=t._ternarylayer,this.defs=t._defs,this.layoutId=t._uid,this.traceHash={}},x.plot=function(t,e){var r=this,n=e[r.id],i=e._size;r.adjustLayout(n,i),d.generalUpdatePerTraceModule(r,t,n),r.layers.plotbg.select(\"path\").call(u.fill,n.bgcolor)},x.makeFramework=function(){var t=this,e=t.defs.selectAll(\"g.clips\").data([0]);e.enter().append(\"g\").classed(\"clips\",!0);var 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   float show = float(mshow(pA, loA, hiA) &&\\n                       mshow(pB, loB, hiB) &&\\n                       mshow(pC, loC, hiC) &&\\n                       mshow(pD, loD, hiD));\\n\\n    vec2 yy = show * vec2(val(pA, dim2A) + val(pB, dim2B) + val(pC, dim2C) + val(pD, dim2D),\\n                          val(pA, dim1A) + val(pB, dim1B) + val(pC, dim1C) + val(pD, dim1D));\\n\\n    vec2 dimensionToggle = vec2(x, 1.0 - x);\\n\\n    vec2 scatterToggle = vec2(scatter, 1.0 - scatter);\\n\\n    float y = dot(yy, dimensionToggle);\\n    mat2 xy = mat2(viewBoxSize * yy + dimensionToggle, viewBoxSize * vec2(x, y));\\n\\n    vec2 viewBoxXY = viewBoxPosition + xy * scatterToggle;\\n\\n    float depthOrHide = depth + 2.0 * (1.0 - show);\\n\\n    gl_Position = vec4(\\n        xyProjection * (2.0 * viewBoxXY / resolution - 1.0),\\n        depthOrHide,\\n        1.0\\n    );\\n\\n    // visible coloring\\n    float clampedColorIndex = clamp((prominence - colorClamp[0]) / (colorClamp[1] - colorClamp[0]), 0.0, 1.0);\\n    fragColor = texture2D(palette, vec2((clampedColorIndex * 255.0 + 0.5) / 256.0, 0.5));\\n}\\n\",frag:\"precision lowp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n    gl_FragColor = fragColor;\\n}\\n\",primitive:\"lines\",lineWidth:1,attributes:P,uniforms:{resolution:O.prop(\"resolution\"),viewBoxPosition:O.prop(\"viewBoxPosition\"),viewBoxSize:O.prop(\"viewBoxSize\"),dim1A:O.prop(\"dim1A\"),dim2A:O.prop(\"dim2A\"),dim1B:O.prop(\"dim1B\"),dim2B:O.prop(\"dim2B\"),dim1C:O.prop(\"dim1C\"),dim2C:O.prop(\"dim2C\"),dim1D:O.prop(\"dim1D\"),dim2D:O.prop(\"dim2D\"),loA:O.prop(\"loA\"),hiA:O.prop(\"hiA\"),loB:O.prop(\"loB\"),hiB:O.prop(\"hiB\"),loC:O.prop(\"loC\"),hiC:O.prop(\"hiC\"),loD:O.prop(\"loD\"),hiD:O.prop(\"hiD\"),palette:j,colorClamp:O.prop(\"colorClamp\"),scatter:O.prop(\"scatter\")},offset:O.prop(\"offset\"),count:O.prop(\"count\")}),F=[0,1],N=[];return{setColorDomain:y,render:x,readPixel:w,readPixels:M,destroy:O.destroy}}},{\"./constants\":954,regl:480}],958:[function(t,e,r){\"use strict\";function n(t){return t.key}function i(t){return[t]}function a(t){return!(\"visible\"in t)||t.visible}function o(t){var e=t.range?t.range[0]:_.min(t.values),r=t.range?t.range[1]:_.max(t.values);return!isNaN(e)&&isFinite(e)||(e=0),!isNaN(r)&&isFinite(r)||(r=0),e===r&&(void 0===e?(e=0,r=1):0===e?(e-=1,r+=1):(e*=.9,r*=1.1)),[e,r]}function s(t,e){var r,n,i,a,o;for(r=0,n=t.range(),i=1/0,a=n[0],o;r<n.length;r++){if((o=Math.abs(n[r]-e))>i)return a;i=o,a=n[r]}return n[n.length-1]}function l(t,e,r){var n=o(r);return r.tickvals?_.scale.ordinal().domain(r.tickvals).range(r.tickvals.map(function(t){return(t-n[0])/(n[1]-n[0])}).map(function(r){return t-e+r*(e-(t-e))})):_.scale.linear().domain(n).range([t-e,e])}function u(t,e){return _.scale.linear().range([t-e,e])}function c(t){return _.scale.linear().domain(o(t))}function h(t){var e=o(t);return t.tickvals&&_.scale.ordinal().domain(t.tickvals).range(t.tickvals.map(function(t){return(t-e[0])/(e[1]-e[0])}))}function f(t){var e=t.map(function(t){return t[0]}),r=t.map(function(t){return t[1]}),n=r.map(function(t){return _.rgb(t)}),i=function(t){return function(e){return e[t]}},a=\"rgb\".split(\"\").map(function(t){return _.scale.linear().clamp(!0).domain(e).range(n.map(i(t)))});return function(t){return a.map(function(e){return e(t)})}}function d(t){return t[0]}function p(t,e,r){var n=d(e),i=n.trace,o=n.lineColor,s=n.cscale,l=i.line,u=i.domain,h=i.dimensions,p=t.width,m=x.extendDeep({},l,{color:o.map(c({values:o,range:[l.cmin,l.cmax]})),blockLineCount:b.blockLineCount,canvasOverdrag:b.overdrag*b.canvasPixelRatio}),g=Math.floor(p*(u.x[1]-u.x[0])),v=Math.floor(t.height*(u.y[1]-u.y[0])),y=t.margin||{l:80,r:80,t:100,b:80},_=g,w=v;return{key:r,colCount:h.filter(a).length,dimensions:h,tickDistance:b.tickDistance,unitToColor:f(s),lines:m,translateX:u.x[0]*p,translateY:t.height-u.y[1]*t.height,pad:y,canvasWidth:_*b.canvasPixelRatio+2*m.canvasOverdrag,canvasHeight:w*b.canvasPixelRatio,width:_,height:w,canvasPixelRatio:b.canvasPixelRatio}}function m(t){var e=t.width,r=t.height,n=t.dimensions,i=t.canvasPixelRatio,o=function(r){return e*r/Math.max(1,t.colCount-1)},s=b.verticalPadding/(r*i),f=1-2*s,d=function(t){return s+f*t},p={key:t.key,xScale:o,model:t},m={};return p.dimensions=n.filter(a).map(function(e,n){var a=c(e),s=m[e.label];return m[e.label]=(s||0)+1,{key:e.label+(s?\"__\"+s:\"\"),label:e.label,tickFormat:e.tickformat,tickvals:e.tickvals,ticktext:e.ticktext,ordinal:!!e.tickvals,scatter:b.scatter||e.scatter,xIndex:n,crossfilterDimensionIndex:n,visibleIndex:e._index,height:r,values:e.values,paddedUnitValues:e.values.map(a).map(d),xScale:o,x:o(n),canvasX:o(n)*i,unitScale:u(r,b.verticalPadding),domainScale:l(r,b.verticalPadding,e),ordinalScale:h(e),domainToUnitScale:a,filter:e.constraintrange?e.constraintrange.map(a):[0,1],parent:p,model:t}}),p}function g(t){return b.layers.map(function(e){return{key:e,context:\"contextLineLayer\"===e,pick:\"pickLineLayer\"===e,viewModel:t,model:t.model}})}function v(t){t.classed(\"axisExtentText\",!0).attr(\"text-anchor\",\"middle\").style(\"font-weight\",100).style(\"font-size\",\"10px\").style(\"cursor\",\"default\").style(\"user-select\",\"none\")}var y=t(\"./lines\"),b=t(\"./constants\"),x=t(\"../../lib\"),_=t(\"d3\");e.exports=function(t,e,r,a,o){function l(t){var e=t.selectAll(\"defs\").data(i,n);e.enter().append(\"defs\");var r=e.selectAll(\"#filterBarPattern\").data(i,n);r.enter().append(\"pattern\").attr(\"id\",\"filterBarPattern\").attr(\"patternUnits\",\"userSpaceOnUse\"),r.attr(\"x\",-b.bar.width).attr(\"width\",b.bar.capturewidth).attr(\"height\",function(t){return t.model.height});var a=r.selectAll(\"rect\").data(i,n);a.enter().append(\"rect\").attr(\"shape-rendering\",\"crispEdges\"),a.attr(\"height\",function(t){return t.model.height}).attr(\"width\",b.bar.width).attr(\"x\",b.bar.width/2).attr(\"fill\",b.bar.fillcolor).attr(\"fill-opacity\",b.bar.fillopacity).attr(\"stroke\",b.bar.strokecolor).attr(\"stroke-opacity\",b.bar.strokeopacity).attr(\"stroke-width\",b.bar.strokewidth)}function u(t){return t.dimensions.some(function(t){return 0!==t.filter[0]||1!==t.filter[1]})}function c(t,e){for(var r=e.panels||(e.panels=[]),n=t.each(function(t){return t})[e.key].map(function(t){return t.__data__}),i=n.length-1,a=0;a<1;a++)for(var o=0;o<i;o++){var s=r[o+a*i]||(r[o+a*i]={}),l=n[o],u=n[o+1];s.dim1=l,s.dim2=u,s.canvasX=l.canvasX,s.panelSizeX=u.canvasX-l.canvasX,s.panelSizeY=e.model.canvasHeight/1,s.y=a*s.panelSizeY,s.canvasY=e.model.canvasHeight-s.y-s.panelSizeY}}function h(t,e){for(var r=e.panels||(e.panels=[]),n=t.each(function(t){return t})[e.key].map(function(t){return t.__data__}),i=n.length-1,a=i,o=0;o<i;o++)for(var s=0;s<i;s++){var l=r[s+o*i]||(r[s+o*i]={}),u=n[s],c=n[s+1];l.dim1=n[o+1],l.dim2=c,l.canvasX=u.canvasX,l.panelSizeX=c.canvasX-u.canvasX,l.panelSizeY=e.model.canvasHeight/a,l.y=o*l.panelSizeY,l.canvasY=e.model.canvasHeight-l.y-l.panelSizeY}}function f(t,e){return(b.scatter?h:c)(t,e)}function x(t){return t.ordinal?function(){return\"\"}:_.format(t.tickFormat)}function w(){Y=!0,A=!0}function M(t){T=!1;var e=t.parent,r=t.brush.extent(),n=e.dimensions,i=n[t.xIndex].filter,a=Y&&r[0]===r[1];a&&(t.brush.clear(),_.select(this).select(\"rect.extent\").attr(\"y\",-100));var o=a?[0,1]:r.slice();if(o[0]!==i[0]||o[1]!==i[1]){n[t.xIndex].filter=o,e.focusLineLayer&&e.focusLineLayer.render(e.panels,!0);var s=u(e);!W&&s?(e.contextLineLayer&&e.contextLineLayer.render(e.panels,!0),W=!0):W&&!s&&(e.contextLineLayer&&e.contextLineLayer.render(e.panels,!0,!0),W=!1)}Y=!1}function k(t){var e=t.parent,r=t.brush.extent(),n=r[0]===r[1],i=e.dimensions,a=i[t.xIndex].filter;if(!n&&t.ordinal&&(a[0]=s(t.ordinalScale,a[0]),a[1]=s(t.ordinalScale,a[1]),a[0]===a[1]&&(a[0]=Math.max(0,a[0]-.05),a[1]=Math.min(1,a[1]+.05)),_.select(this).transition().duration(150).call(t.brush.extent(a)),e.focusLineLayer.render(e.panels,!0)),e.pickLineLayer&&e.pickLineLayer.render(e.panels,!0),T=!0,A=\"ending\",o&&o.filterChanged){var l=t.domainToUnitScale.invert,u=a.map(l);o.filterChanged(e.key,t.visibleIndex,u)}}var A=!1,T=!0,S=r.filter(function(t){return d(t).trace.visible}).map(p.bind(0,a)).map(m);t.selectAll(\".parcoords-line-layers\").remove();var E=t.selectAll(\".parcoords-line-layers\").data(S,n);E.enter().insert(\"div\",\".\"+e.attr(\"class\").split(\" \").join(\" .\")).classed(\"parcoords-line-layers\",!0).style(\"box-sizing\",\"content-box\"),E.style(\"transform\",function(t){return\"translate(\"+(t.model.translateX-b.overdrag)+\"px,\"+t.model.translateY+\"px)\"});var L=E.selectAll(\".parcoords-lines\").data(g,n),C={renderers:[],dimensions:[]},z=null;L.enter().append(\"canvas\").attr(\"class\",function(t){return\"parcoords-lines \"+(t.context?\"context\":t.pick?\"pick\":\"focus\")}).style(\"box-sizing\",\"content-box\").style(\"float\",\"left\").style(\"clear\",\"both\").style(\"left\",0).style(\"overflow\",\"visible\").style(\"position\",function(t,e){return\"absolute\"}).filter(function(t){return t.pick}).on(\"mousemove\",function(t){if(T&&t.lineLayer&&o&&o.hover){var e=_.event,r=this.width,n=this.height,i=_.mouse(this),a=i[0],s=i[1];if(a<0||s<0||a>=r||s>=n)return;var l=t.lineLayer.readPixel(a,n-1-s),u=0!==l[3],c=u?l[2]+256*(l[1]+256*l[0]):null,h={x:a,y:s,clientX:e.clientX,clientY:e.clientY,dataIndex:t.model.key,curveNumber:c};c!==z&&(u?o.hover(h):o.unhover&&o.unhover(h),z=c)}}),L.style(\"margin\",function(t){var e=t.model.pad;return e.t+\"px \"+e.r+\"px \"+e.b+\"px \"+e.l+\"px\"}).attr(\"width\",function(t){return t.model.canvasWidth}).attr(\"height\",function(t){return t.model.canvasHeight}).style(\"width\",function(t){return t.model.width+2*b.overdrag+\"px\"}).style(\"height\",function(t){return t.model.height+\"px\"}).style(\"opacity\",function(t){return t.pick?.01:1}),e.style(\"background\",\"rgba(255, 255, 255, 0)\");var D=e.selectAll(\".parcoords\").data(S,n);D.exit().remove(),D.enter().append(\"g\").classed(\"parcoords\",!0).attr(\"overflow\",\"visible\").style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"overflow\",\"visible\").style(\"shape-rendering\",\"crispEdges\").style(\"pointer-events\",\"none\").call(l),D.attr(\"width\",function(t){return t.model.width+t.model.pad.l+t.model.pad.r}).attr(\"height\",function(t){return t.model.height+t.model.pad.t+t.model.pad.b}).attr(\"transform\",function(t){return\"translate(\"+t.model.translateX+\",\"+t.model.translateY+\")\"});var I=D.selectAll(\".parcoordsControlView\").data(i,n);I.enter().append(\"g\").classed(\"parcoordsControlView\",!0).style(\"box-sizing\",\"content-box\"),I.attr(\"transform\",function(t){return\"translate(\"+t.model.pad.l+\",\"+t.model.pad.t+\")\"});var P=I.selectAll(\".yAxis\").data(function(t){return t.dimensions},n);P.enter().append(\"g\").classed(\"yAxis\",!0).each(function(t){C.dimensions.push(t)}),I.each(function(t){f(P,t)}),L.each(function(t){t.lineLayer=y(this,t.model.lines,t.model.canvasWidth,t.model.canvasHeight,t.viewModel.dimensions,t.viewModel.panels,t.model.unitToColor,t.context,t.pick,b.scatter),t.viewModel[t.key]=t.lineLayer,C.renderers.push(function(){t.lineLayer.render(t.viewModel.panels,!0)}),t.lineLayer.render(t.viewModel.panels,!t.context)}),P.attr(\"transform\",function(t){return\"translate(\"+t.xScale(t.xIndex)+\", 0)\"}),P.call(_.behavior.drag().origin(function(t){return t}).on(\"drag\",function(t){var e=t.parent;T=!1,A||(t.x=Math.max(-b.overdrag,Math.min(t.model.width+b.overdrag,_.event.x)),t.canvasX=t.x*t.model.canvasPixelRatio,P.sort(function(t,e){return t.x-e.x}).each(function(e,r){e.xIndex=r,e.x=t===e?e.x:e.xScale(e.xIndex),e.canvasX=e.x*e.model.canvasPixelRatio}),f(P,e),P.filter(function(e){return 0!==Math.abs(t.xIndex-e.xIndex)}).attr(\"transform\",function(t){return\"translate(\"+t.xScale(t.xIndex)+\", 0)\"}),_.select(this).attr(\"transform\",\"translate(\"+t.x+\", 0)\"),P.each(function(r,n,i){i===t.parent.key&&(e.dimensions[n]=r)}),e.contextLineLayer&&e.contextLineLayer.render(e.panels,!1,!u(e)),e.focusLineLayer.render&&e.focusLineLayer.render(e.panels))}).on(\"dragend\",function(t){var e=t.parent;if(A)return void(\"ending\"===A&&(A=!1));t.x=t.xScale(t.xIndex),t.canvasX=t.x*t.model.canvasPixelRatio,f(P,e),_.select(this).attr(\"transform\",function(t){return\"translate(\"+t.x+\", 0)\"}),e.contextLineLayer&&e.contextLineLayer.render(e.panels,!1,!u(e)),e.focusLineLayer&&e.focusLineLayer.render(e.panels),e.pickLineLayer&&e.pickLineLayer.render(e.panels,!0),T=!0,o&&o.axesMoved&&o.axesMoved(e.key,e.dimensions.map(function(t){return t.crossfilterDimensionIndex}))})),P.exit().remove();var O=P.selectAll(\".axisOverlays\").data(i,n);O.enter().append(\"g\").classed(\"axisOverlays\",!0),O.selectAll(\".axis\").remove();var j=O.selectAll(\".axis\").data(i,n);j.enter().append(\"g\").classed(\"axis\",!0),j.each(function(t){var e=t.model.height/t.model.tickDistance,r=t.domainScale,n=r.domain(),i=t.ticktext;_.select(this).call(_.svg.axis().orient(\"left\").tickSize(4).outerTickSize(2).ticks(e,t.tickFormat).tickValues(t.ordinal?n.map(function(t,e){return i&&i[e]||t}):null).tickFormat(t.ordinal?function(t){return t}:null).scale(r))}),j.selectAll(\".domain, .tick\").attr(\"fill\",\"none\").attr(\"stroke\",\"black\").attr(\"stroke-opacity\",.25).attr(\"stroke-width\",\"1px\"),j.selectAll(\"text\").style(\"font-weight\",100).style(\"font-size\",\"10px\").style(\"fill\",\"black\").style(\"fill-opacity\",1).style(\"stroke\",\"none\").style(\"text-shadow\",\"1px 1px 1px #fff, -1px -1px 1px #fff, 1px -1px 1px #fff, -1px 1px 1px #fff\").style(\"cursor\",\"default\").style(\"user-select\",\"none\");var R=O.selectAll(\".axisHeading\").data(i,n);R.enter().append(\"g\").classed(\"axisHeading\",!0);var F=R.selectAll(\".axisTitle\").data(i,n);F.enter().append(\"text\").classed(\"axisTitle\",!0).attr(\"text-anchor\",\"middle\").style(\"font-family\",\"sans-serif\").style(\"font-size\",\"10px\").style(\"cursor\",\"ew-resize\").style(\"user-select\",\"none\").style(\"pointer-events\",\"auto\"),F.attr(\"transform\",\"translate(0,\"+-b.axisTitleOffset+\")\").text(function(t){return t.label});var N=O.selectAll(\".axisExtent\").data(i,n);N.enter().append(\"g\").classed(\"axisExtent\",!0);var B=N.selectAll(\".axisExtentTop\").data(i,n);B.enter().append(\"g\").classed(\"axisExtentTop\",!0),B.attr(\"transform\",\"translate(0,\"+-b.axisExtentOffset+\")\");var U=B.selectAll(\".axisExtentTopText\").data(i,n);U.enter().append(\"text\").classed(\"axisExtentTopText\",!0).attr(\"alignment-baseline\",\"after-edge\").call(v),U.text(function(t){return x(t)(t.domainScale.domain().slice(-1)[0])});var V=N.selectAll(\".axisExtentBottom\").data(i,n);V.enter().append(\"g\").classed(\"axisExtentBottom\",!0),V.attr(\"transform\",function(t){return\"translate(0,\"+(t.model.height+b.axisExtentOffset)+\")\"});var H=V.selectAll(\".axisExtentBottomText\").data(i,n);H.enter().append(\"text\").classed(\"axisExtentBottomText\",!0).attr(\"alignment-baseline\",\"before-edge\").call(v),H.text(function(t){return x(t)(t.domainScale.domain()[0])});var q=O.selectAll(\".axisBrush\").data(i,n),G=q.enter().append(\"g\").classed(\"axisBrush\",!0);q.each(function(t){t.brush||(t.brush=_.svg.brush().y(t.unitScale).on(\"brushstart\",w).on(\"brush\",M).on(\"brushend\",k),0===t.filter[0]&&1===t.filter[1]||t.brush.extent(t.filter),_.select(this).call(t.brush))}),G.selectAll(\"rect\").attr(\"x\",-b.bar.capturewidth/2).attr(\"width\",b.bar.capturewidth),G.selectAll(\"rect.extent\").attr(\"fill\",\"url(#filterBarPattern)\").style(\"cursor\",\"ns-resize\").filter(function(t){return 0===t.filter[0]&&1===t.filter[1]}).attr(\"y\",-100),G.selectAll(\".resize rect\").attr(\"height\",b.bar.handleheight).attr(\"opacity\",0).style(\"visibility\",\"visible\"),G.selectAll(\".resize.n rect\").style(\"cursor\",\"n-resize\").attr(\"y\",b.bar.handleoverlap-b.bar.handleheight),G.selectAll(\".resize.s rect\").style(\"cursor\",\"s-resize\").attr(\"y\",b.bar.handleoverlap);var Y=!1,W=!1;return C}},{\"../../lib\":685,\"./constants\":954,\"./lines\":957,d3:107}],959:[function(t,e,r){\"use strict\";var n=t(\"./parcoords\");e.exports=function(t,e){var r=t._fullLayout,i=r._paper,a=r._paperdiv,o={},s={},l=r._size;e.forEach(function(e,r){o[r]=t.data[r].dimensions,s[r]=t.data[r].dimensions.slice()});var u=function(e,r,n){var i=s[e][r],a=i.constraintrange;a&&2===a.length||(a=i.constraintrange=[]),a[0]=n[0],a[1]=n[1],t.emit(\"plotly_restyle\")},c=function(e){t.emit(\"plotly_hover\",e)},h=function(e){t.emit(\"plotly_unhover\",e)},f=function(e,r){function n(t){return!(\"visible\"in t)||t.visible}function i(t,e,r){var n=e.indexOf(r),i=t.indexOf(n);return i===-1&&(i+=e.length),i}var a=function(t){return function(e,n){return i(r,t,e)-i(r,t,n)}}(s[e].filter(n));o[e].sort(a),s[e].filter(function(t){return!n(t)}).sort(function(t){return 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n=t(\"../../components/color/attributes\"),i=t(\"../../plots/font_attributes\"),a=t(\"../../plots/attributes\"),o=t(\"../../lib/extend\").extendFlat;e.exports={labels:{valType:\"data_array\"},label0:{valType:\"number\",dflt:0},dlabel:{valType:\"number\",dflt:1},values:{valType:\"data_array\"},marker:{colors:{valType:\"data_array\"},line:{color:{valType:\"color\",dflt:n.defaultLine,arrayOk:!0},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0}}},text:{valType:\"data_array\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},scalegroup:{valType:\"string\",dflt:\"\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"]},hoverinfo:o({},a.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0},textfont:o({},i,{}),insidetextfont:o({},i,{}),outsidetextfont:o({},i,{}),domain:{x:{valType:\"info_array\",items:[{valType:\"number\",min:0,max:1},{valType:\"number\",min:0,max:1}],dflt:[0,1]},y:{valType:\"info_array\",items:[{valType:\"number\",min:0,max:1},{valType:\"number\",min:0,max:1}],dflt:[0,1]}},hole:{valType:\"number\",min:0,max:1,dflt:0},sort:{valType:\"boolean\",dflt:!0},direction:{valType:\"enumerated\",values:[\"clockwise\",\"counterclockwise\"],dflt:\"counterclockwise\"},rotation:{valType:\"number\",min:-360,max:360,dflt:0},pull:{valType:\"number\",min:0,max:1,dflt:0,arrayOk:!0}}},{\"../../components/color/attributes\":577,\"../../lib/extend\":677,\"../../plots/attributes\":722,\"../../plots/font_attributes\":748}],961:[function(t,e,r){\"use 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l=i(e,u),f=w+e.pxmid[0]*(1-l),d=M+e.pxmid[1]*(1-l),p=r.separators,v=[];s.indexOf(\"label\")!==-1&&v.push(e.label),s.indexOf(\"text\")!==-1&&(o.hovertext?v.push(Array.isArray(o.hovertext)?o.hovertext[e.i]:o.hovertext):o.text&&o.text[e.i]&&v.push(o.text[e.i])),s.indexOf(\"value\")!==-1&&v.push(m.formatPieValue(e.v,p)),s.indexOf(\"percent\")!==-1&&v.push(m.formatPiePercent(e.v/u.vTotal,p)),h.loneHover({x0:f-l*u.r,x1:f+l*u.r,y:d,text:v.join(\"<br>\"),name:s.indexOf(\"name\")!==-1?o.name:void 0,color:e.color,idealAlign:e.pxmid[0]<0?\"left\":\"right\"},{container:a._hoverlayer.node(),outerContainer:a._paper.node()}),h.hover(t,n,\"pie\"),T=!0}function s(e){e.originalEvent=c.event,t.emit(\"plotly_unhover\",{event:c.event,points:[e]}),T&&(h.loneUnhover(r._hoverlayer.node()),T=!1)}function f(){t._hoverdata=[e],t._hoverdata.trace=u.trace,h.click(t,c.event)}function b(t,r,n,i){return\"a\"+i*u.r+\",\"+i*_+\" \"+y+\" \"+e.largeArc+(n?\" 1 \":\" 0 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i=r.marker.line.color;Array.isArray(i)&&(i=i[e.i]||n.defaultLine);var a=r.marker.line.width||0;Array.isArray(a)&&(a=a[e.i]||0),t.style({\"stroke-width\":a,fill:e.color}).call(n.stroke,i)}},{\"../../components/color\":578}],971:[function(t,e,r){\"use strict\";var n=t(\"../scattergl/attributes\");e.exports={x:n.x,y:n.y,xy:{valType:\"data_array\"},indices:{valType:\"data_array\"},xbounds:{valType:\"data_array\"},ybounds:{valType:\"data_array\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1},blend:{valType:\"boolean\",dflt:null},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5},sizemax:{valType:\"number\",min:.1,dflt:20},border:{color:{valType:\"color\",arrayOk:!1},arearatio:{valType:\"number\",min:0,max:1,dflt:0}}}}},{\"../scattergl/attributes\":1020}],972:[function(t,e,r){\"use strict\";function n(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=a(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}function i(t,e){var r=new n(t,e.uid);return r.update(e),r}var a=t(\"gl-pointcloud2d\"),o=t(\"../../lib/str2rgbarray\"),s=t(\"../scatter/get_trace_color\"),l=[\"xaxis\",\"yaxis\"],u=n.prototype;u.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},u.update=function(t){this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=s(t,{})},u.updateFast=function(t){var e,r,n,i,a,s,l=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,c=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,f=t.indices,d=this.bounds;if(c){if(n=c,e=c.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(s=0;s<e;s++)i=n[2*s],a=n[2*s+1],i<d[0]&&(d[0]=i),i>d[2]&&(d[2]=i),a<d[1]&&(d[1]=a),a>d[3]&&(d[3]=a);if(f)r=f;else for(r=new Int32Array(e),s=0;s<e;s++)r[s]=s}else for(e=l.length,n=new Float32Array(2*e),r=new 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r,n,i,a=e||.5,o=0;o<2;o++)r=this.scene[l[o]],n=r._min,n||(n=[]),n.push({val:t[o],pad:a}),i=r._max,i||(i=[]),i.push({val:t[o+2],pad:a})},u.dispose=function(){this.pointcloud.dispose()},e.exports=i},{\"../../lib/str2rgbarray\":703,\"../scatter/get_trace_color\":984,\"gl-pointcloud2d\":214}],973:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./attributes\");e.exports=function(t,e,r){function a(r,a){return n.coerce(t,e,i,r,a)}a(\"x\"),a(\"y\"),a(\"xbounds\"),a(\"ybounds\"),t.xy&&t.xy instanceof Float32Array&&(e.xy=t.xy),t.indices&&t.indices instanceof Int32Array&&(e.indices=t.indices),a(\"text\"),a(\"marker.color\",r),a(\"marker.opacity\"),a(\"marker.blend\"),a(\"marker.sizemin\"),a(\"marker.sizemax\"),a(\"marker.border.color\",r),a(\"marker.border.arearatio\")}},{\"../../lib\":685,\"./attributes\":971}],974:[function(t,e,r){\"use strict\";var n={};n.attributes=t(\"./attributes\"),n.supplyDefaults=t(\"./defaults\"),n.calc=t(\"../scatter3d/calc\"),n.plot=t(\"./convert\"),n.moduleType=\"trace\",n.name=\"pointcloud\",n.basePlotModule=t(\"../../plots/gl2d\"),n.categories=[\"gl2d\",\"showLegend\"],n.meta={},e.exports=n},{\"../../plots/gl2d\":764,\"../scatter3d/calc\":1e3,\"./attributes\":971,\"./convert\":972,\"./defaults\":973}],975:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){n.mergeArray(e.text,t,\"tx\"),n.mergeArray(e.hovertext,t,\"htx\"),n.mergeArray(e.customdata,t,\"data\"),n.mergeArray(e.textposition,t,\"tp\"),e.textfont&&(n.mergeArray(e.textfont.size,t,\"ts\"),n.mergeArray(e.textfont.color,t,\"tc\"),n.mergeArray(e.textfont.family,t,\"tf\"));var r=e.marker;if(r){n.mergeArray(r.size,t,\"ms\"),n.mergeArray(r.opacity,t,\"mo\"),n.mergeArray(r.symbol,t,\"mx\"),n.mergeArray(r.color,t,\"mc\");var 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n=t(\"../../components/colorscale/color_attributes\"),i=t(\"../../components/errorbars/attributes\"),a=t(\"../../components/colorbar/attributes\"),o=t(\"../../components/drawing/attributes\").dash,s=t(\"../../components/drawing\"),l=(t(\"./constants\"),t(\"../../lib/extend\").extendFlat);e.exports={x:{valType:\"data_array\"},x0:{valType:\"any\",dflt:0},dx:{valType:\"number\",dflt:1},y:{valType:\"data_array\"},y0:{valType:\"any\",dflt:0},customdata:{valType:\"data_array\"},dy:{valType:\"number\",dflt:1},ids:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},mode:{valType:\"flaglist\",flags:[\"lines\",\"markers\",\"text\"],extras:[\"none\"]},hoveron:{valType:\"flaglist\",flags:[\"points\",\"fills\"]},line:{color:{valType:\"color\"},width:{valType:\"number\",min:0,dflt:2},shape:{valType:\"enumerated\",values:[\"linear\",\"spline\",\"hv\",\"vh\",\"hvh\",\"vhv\"],dflt:\"linear\"},smoothing:{valType:\"number\",min:0,max:1.3,dflt:1},dash:o,simplify:{valType:\"boolean\",dflt:!0}},connectgaps:{valType:\"boolean\",dflt:!1},fill:{valType:\"enumerated\",values:[\"none\",\"tozeroy\",\"tozerox\",\"tonexty\",\"tonextx\",\"toself\",\"tonext\"],dflt:\"none\"},fillcolor:{valType:\"color\"},marker:l({},{symbol:{valType:\"enumerated\",values:s.symbolList,dflt:\"circle\",arrayOk:!0},opacity:{valType:\"number\",min:0,max:1,arrayOk:!0},size:{valType:\"number\",min:0,dflt:6,arrayOk:!0},maxdisplayed:{valType:\"number\",min:0,dflt:0},sizeref:{valType:\"number\",dflt:1},sizemin:{valType:\"number\",min:0,dflt:0},sizemode:{valType:\"enumerated\",values:[\"diameter\",\"area\"],dflt:\"diameter\"},showscale:{valType:\"boolean\",dflt:!1},colorbar:a,line:l({},{width:{valType:\"number\",min:0,arrayOk:!0}},n(\"marker.line\"))},n(\"marker\")),textposition:{valType:\"enumerated\",values:[\"top 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r,l,u,c=i.getFromId(t,e.xaxis||\"x\"),h=i.getFromId(t,e.yaxis||\"y\"),f=c.makeCalcdata(e,\"x\"),d=h.makeCalcdata(e,\"y\"),p=Math.min(f.length,d.length);c._minDtick=0,h._minDtick=0,f.length>p&&f.splice(p,f.length-p),d.length>p&&d.splice(p,d.length-p);var m={padded:!0},g={padded:!0};if(a.hasMarkers(e)){if(r=e.marker,l=r.size,Array.isArray(l)){var v={type:\"linear\"};i.setConvert(v),l=v.makeCalcdata(e.marker,\"size\"),l.length>p&&l.splice(p,l.length-p)}var y,b=1.6*(e.marker.sizeref||1);y=\"area\"===e.marker.sizemode?function(t){return Math.max(Math.sqrt((t||0)/b),3)}:function(t){return Math.max((t||0)/b,3)},m.ppad=g.ppad=Array.isArray(l)?l.map(y):y(l)}o(e),!(\"tozerox\"===e.fill||\"tonextx\"===e.fill&&t.firstscatter)||f[0]===f[p-1]&&d[0]===d[p-1]?e.error_y.visible||[\"tonexty\",\"tozeroy\"].indexOf(e.fill)===-1&&(a.hasMarkers(e)||a.hasText(e))||(m.padded=!1,m.ppad=0):m.tozero=!0,!(\"tozeroy\"===e.fill||\"tonexty\"===e.fill&&t.firstscatter)||f[0]===f[p-1]&&d[0]===d[p-1]?[\"tonextx\",\"tozerox\"].indexOf(e.fill)!==-1&&(g.padded=!1):g.tozero=!0,i.expand(c,f,m),i.expand(h,d,g);var x=new Array(p);for(u=0;u<p;u++)x[u]=n(f[u])&&n(d[u])?{x:f[u],y:d[u]}:{x:!1,y:!1},e.ids&&(x[u].id=String(e.ids[u]));return s(x,e),t.firstscatter=!1,x}},{\"../../plots/cartesian/axes\":724,\"./arrays_to_calcdata\":975,\"./colorscale_calc\":980,\"./subtypes\":996,\"fast-isnumeric\":116}],978:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=0;e<t.length;e++){var r=t[e];if(\"scatter\"===r.type){var n=r.fill;if(\"none\"!==n&&\"toself\"!==n&&(r.opacity=void 0,\"tonexty\"===n||\"tonextx\"===n))for(var i=e-1;i>=0;i--){var a=t[i];if(\"scatter\"===a.type&&a.xaxis===r.xaxis&&a.yaxis===r.yaxis){a.opacity=void 0;break}}}}}},{}],979:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=t(\"../../plots/plots\"),o=t(\"../../components/colorscale\"),s=t(\"../../components/colorbar/draw\");e.exports=function(t,e){var r=e[0].trace,l=r.marker,u=\"cb\"+r.uid;if(t._fullLayout._infolayer.selectAll(\".\"+u).remove(),void 0===l||!l.showscale)return void a.autoMargin(t,u);var c=l.color,h=l.cmin,f=l.cmax;n(h)||(h=i.aggNums(Math.min,null,c)),n(f)||(f=i.aggNums(Math.max,null,c));var d=e[0].t.cb=s(t,u),p=o.makeColorScaleFunc(o.extractScale(l.colorscale,h,f),{noNumericCheck:!0});d.fillcolor(p).filllevels({start:h,end:f,size:(f-h)/254}).options(l.colorbar)()}},{\"../../components/colorbar/draw\":581,\"../../components/colorscale\":592,\"../../lib\":685,\"../../plots/plots\":787,\"fast-isnumeric\":116}],980:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/has_colorscale\"),i=t(\"../../components/colorscale/calc\"),a=t(\"./subtypes\");e.exports=function(t){a.hasLines(t)&&n(t,\"line\")&&i(t,t.line.color,\"line\",\"c\"),a.hasMarkers(t)&&(n(t,\"marker\")&&i(t,t.marker.color,\"marker\",\"c\"),n(t,\"marker.line\")&&i(t,t.marker.line.color,\"marker.line\",\"c\"))}},{\"../../components/colorscale/calc\":584,\"../../components/colorscale/has_colorscale\":591,\"./subtypes\":996}],981:[function(t,e,r){\"use strict\";e.exports={PTS_LINESONLY:20}},{}],982:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./attributes\"),a=t(\"./constants\"),o=t(\"./subtypes\"),s=t(\"./xy_defaults\"),l=t(\"./marker_defaults\"),u=t(\"./line_defaults\"),c=t(\"./line_shape_defaults\"),h=t(\"./text_defaults\"),f=t(\"./fillcolor_defaults\"),d=t(\"../../components/errorbars/defaults\");e.exports=function(t,e,r,p){function m(r,a){return n.coerce(t,e,i,r,a)}var g=s(t,e,p,m),v=g<a.PTS_LINESONLY?\"lines+markers\":\"lines\";if(!g)return void(e.visible=!1);m(\"customdata\"),m(\"text\"),m(\"hovertext\"),m(\"mode\",v),m(\"ids\"),o.hasLines(e)&&(u(t,e,r,p,m),c(t,e,m),m(\"connectgaps\"),m(\"line.simplify\")),o.hasMarkers(e)&&l(t,e,r,p,m),o.hasText(e)&&h(t,e,p,m);var y=[];(o.hasMarkers(e)||o.hasText(e))&&(m(\"marker.maxdisplayed\"),y.push(\"points\")),m(\"fill\"),\"none\"!==e.fill&&(f(t,e,r,m),o.hasLines(e)||c(t,e,m)),\"tonext\"!==e.fill&&\"toself\"!==e.fill||y.push(\"fills\"),m(\"hoveron\",y.join(\"+\")||\"points\"),d(t,e,r,{axis:\"y\"}),d(t,e,r,{axis:\"x\",inherit:\"y\"})}},{\"../../components/errorbars/defaults\":607,\"../../lib\":685,\"./attributes\":976,\"./constants\":981,\"./fillcolor_defaults\":983,\"./line_defaults\":987,\"./line_shape_defaults\":989,\"./marker_defaults\":992,\"./subtypes\":996,\"./text_defaults\":997,\"./xy_defaults\":998}],983:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\");e.exports=function(t,e,r,i){var a=!1;if(e.marker){var o=e.marker.color,s=(e.marker.line||{}).color;o&&!Array.isArray(o)?a=o:s&&!Array.isArray(s)&&(a=s)}i(\"fillcolor\",n.addOpacity((e.line||{}).color||a||r,.5))}},{\"../../components/color\":578}],984:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"./subtypes\");e.exports=function(t,e){var r,a;if(\"lines\"===t.mode)return r=t.line.color,r&&n.opacity(r)?r:t.fillcolor;if(\"none\"===t.mode)return t.fill?t.fillcolor:\"\";var o=e.mcc||(t.marker||{}).color,s=e.mlcc||((t.marker||{}).line||{}).color;return a=o&&n.opacity(o)?o:s&&n.opacity(s)&&(e.mlw||((t.marker||{}).line||{}).width)?s:\"\",a?n.opacity(a)<.3?n.addOpacity(a,.3):a:(r=(t.line||{}).color,r&&n.opacity(r)&&i.hasLines(t)&&t.line.width?r:t.fillcolor)}},{\"../../components/color\":578,\"./subtypes\":996}],985:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../plots/cartesian/graph_interact\"),a=t(\"../../plots/cartesian/constants\"),o=t(\"../../components/errorbars\"),s=t(\"./get_trace_color\"),l=t(\"../../components/color\");e.exports=function(t,e,r,u){var c=t.cd,h=c[0].trace,f=t.xa,d=t.ya,p=f.c2p(e),m=d.c2p(r),g=[p,m];if(h.hoveron.indexOf(\"points\")!==-1){var v=function(t){var e=Math.max(3,t.mrc||0);return Math.max(Math.abs(f.c2p(t.x)-p)-e,1-3/e)},y=function(t){var e=Math.max(3,t.mrc||0);return Math.max(Math.abs(d.c2p(t.y)-m)-e,1-3/e)},b=function(t){var e=Math.max(3,t.mrc||0),r=f.c2p(t.x)-p,n=d.c2p(t.y)-m;return Math.max(Math.sqrt(r*r+n*n)-e,1-3/e)},x=i.getDistanceFunction(u,v,y,b);if(i.getClosest(c,x,t),t.index!==!1){var _=c[t.index],w=f.c2p(_.x,!0),M=d.c2p(_.y,!0),k=_.mrc||1;return 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v=\"projection.\"+m[g];f(v+\".show\")&&(f(v+\".opacity\"),f(v+\".scale\"))}c(t,e,r,{axis:\"z\"}),c(t,e,r,{axis:\"y\",inherit:\"z\"}),c(t,e,r,{axis:\"x\",inherit:\"z\"})}},{\"../../components/errorbars/defaults\":607,\"../../lib\":685,\"../../registry\":802,\"../scatter/line_defaults\":987,\"../scatter/marker_defaults\":992,\"../scatter/subtypes\":996,\"../scatter/text_defaults\":997,\"./attributes\":999}],1004:[function(t,e,r){\"use strict\";var n={};n.plot=t(\"./convert\"),n.attributes=t(\"./attributes\"),n.markerSymbols=t(\"../../constants/gl_markers\"),n.supplyDefaults=t(\"./defaults\"),n.colorbar=t(\"../scatter/colorbar\"),n.calc=t(\"./calc\"),n.moduleType=\"trace\",n.name=\"scatter3d\",n.basePlotModule=t(\"../../plots/gl3d\"),n.categories=[\"gl3d\",\"symbols\",\"markerColorscale\",\"showLegend\"],n.meta={},e.exports=n},{\"../../constants/gl_markers\":664,\"../../plots/gl3d\":767,\"../scatter/colorbar\":979,\"./attributes\":999,\"./calc\":1e3,\"./convert\":1002,\"./defaults\":1003}],1005:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../components/colorscale/color_attributes\"),o=t(\"../../components/colorbar/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=n.marker,u=n.line,c=l.line;e.exports={carpet:{valType:\"string\"},a:{valType:\"data_array\"},b:{valType:\"data_array\"},sum:{valType:\"number\",dflt:0,min:0},mode:s({},n.mode,{dflt:\"markers\"}),text:s({},n.text,{}),line:{color:u.color,width:u.width,dash:u.dash,shape:s({},u.shape,{values:[\"linear\",\"spline\"]}),smoothing:u.smoothing},connectgaps:n.connectgaps,fill:s({},n.fill,{values:[\"none\",\"toself\",\"tonext\"]}),fillcolor:n.fillcolor,marker:s({},{symbol:l.symbol,opacity:l.opacity,maxdisplayed:l.maxdisplayed,size:l.size,sizeref:l.sizeref,sizemin:l.sizemin,sizemode:l.sizemode,line:s({},{width:c.width},a(\"marker\".line))},a(\"marker\"),{showscale:l.showscale,colorbar:o}),textfont:n.textfont,textposition:n.textposition,hoverinfo:s({},i.hoverinfo,{flags:[\"a\",\"b\",\"c\",\"text\",\"name\"]}),hoveron:n.hoveron}},{\"../../components/colorbar/attributes\":579,\"../../components/colorscale/color_attributes\":585,\"../../lib/extend\":677,\"../../plots/attributes\":722,\"../scatter/attributes\":976}],1006:[function(t,e,r){\"use 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0!==y&&a.mergeArray(y,d,\"ms\"),d}}},{\"../../lib\":685,\"../../plots/cartesian/axes\":724,\"../carpet/lookup_carpetid\":858,\"../scatter/colorscale_calc\":980,\"../scatter/subtypes\":996,\"fast-isnumeric\":116}],1007:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../scatter/constants\"),a=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/line_shape_defaults\"),u=t(\"../scatter/text_defaults\"),c=t(\"../scatter/fillcolor_defaults\"),h=t(\"./attributes\");e.exports=function(t,e,r,f){function d(r,i){return n.coerce(t,e,h,r,i)}d(\"carpet\"),e.xaxis=\"x\",e.yaxis=\"y\";var p,m=d(\"a\"),g=d(\"b\");if(!(p=Math.min(m.length,g.length)))return void(e.visible=!1);m&&p<m.length&&(e.a=m.slice(0,p)),g&&p<g.length&&(e.b=g.slice(0,p)),d(\"sum\"),d(\"text\"),d(\"mode\",p<i.PTS_LINESONLY?\"lines+markers\":\"lines\"),a.hasLines(e)&&(s(t,e,r,f,d),l(t,e,d),d(\"connectgaps\")),a.hasMarkers(e)&&o(t,e,r,f,d),a.hasText(e)&&u(t,e,f,d);var v=[];(a.hasMarkers(e)||a.hasText(e))&&(d(\"marker.maxdisplayed\"),v.push(\"points\")),d(\"fill\"),\"none\"!==e.fill&&(c(t,e,r,d),a.hasLines(e)||l(t,e,d)),d(\"hoverinfo\",1===f._dataLength?\"a+b+text\":void 0),\"tonext\"!==e.fill&&\"toself\"!==e.fill||v.push(\"fills\"),d(\"hoveron\",v.join(\"+\")||\"points\")}},{\"../../lib\":685,\"../scatter/constants\":981,\"../scatter/fillcolor_defaults\":983,\"../scatter/line_defaults\":987,\"../scatter/line_shape_defaults\":989,\"../scatter/marker_defaults\":992,\"../scatter/subtypes\":996,\"../scatter/text_defaults\":997,\"./attributes\":1005}],1008:[function(t,e,r){\"use strict\";var n=t(\"../scatter/hover\");e.exports=function(t,e,r,i){function a(t,e){g.push((t.labelprefix&&t.labelprefix.length>0?t.labelprefix:t._hovertitle+\": \")+e.toFixed(3)+t.labelsuffix)}var o=n(t,e,r,i);if(o&&o[0].index!==!1){var s=o[0];if(void 0===s.index){var l=1-s.y0/t.ya._length,u=t.xa._length,c=u*l/2,h=u-c;return s.x0=Math.max(Math.min(s.x0,h),c),s.x1=Math.max(Math.min(s.x1,h),c),o}var f=s.cd[s.index];s.a=f.a,s.b=f.b,s.xLabelVal=void 0,s.yLabelVal=void 0;var d=s.trace,p=d._carpet,m=d.hoverinfo.split(\"+\"),g=[];m.indexOf(\"all\")!==-1&&(m=[\"a\",\"b\"]),m.indexOf(\"a\")!==-1&&a(p.aaxis,f.a),m.indexOf(\"b\")!==-1&&a(p.baxis,f.b);var v=p.ab2ij([f.a,f.b]),y=Math.floor(v[0]),b=v[0]-y,x=Math.floor(v[1]),_=v[1]-x,w=p.evalxy([],y,x,b,_);return g.push(\"y: \"+w[1].toFixed(3)),s.extraText=g.join(\"<br>\"),o}}},{\"../scatter/hover\":985}],1009:[function(t,e,r){\"use strict\";var n={};n.attributes=t(\"./attributes\"),n.supplyDefaults=t(\"./defaults\"),n.colorbar=t(\"../scatter/colorbar\"),n.calc=t(\"./calc\"),n.plot=t(\"./plot\"),n.style=t(\"./style\"),n.hoverPoints=t(\"./hover\"),n.selectPoints=t(\"./select\"),n.moduleType=\"trace\",n.name=\"scattercarpet\",n.basePlotModule=t(\"../../plots/cartesian\"),n.categories=[\"carpet\",\"symbols\",\"markerColorscale\",\"showLegend\",\"carpetDependent\"],n.meta={},e.exports=n},{\"../../plots/cartesian\":734,\"../scatter/colorbar\":979,\"./attributes\":1005,\"./calc\":1006,\"./defaults\":1007,\"./hover\":1008,\"./plot\":1010,\"./select\":1011,\"./style\":1012}],1010:[function(t,e,r){\"use strict\";var n=t(\"../scatter/plot\"),i=t(\"../../plots/cartesian/axes\");e.exports=function(t,e,r){var a,o,s,l=r[0][0].carpet,u={xaxis:i.getFromId(t,l.xaxis||\"x\"),yaxis:i.getFromId(t,l.yaxis||\"y\"),plot:e.plot};for(n(u.graphDiv,u,r),a=0;a<r.length;a++)o=r[a][0].trace,s=u.plot.selectAll(\"g.trace\"+o.uid+\" .js-line\"),s.attr(\"clip-path\",\"url(#clip\"+l.uid+\"carpet)\")}},{\"../../plots/cartesian/axes\":724,\"../scatter/plot\":993}],1011:[function(t,e,r){\"use strict\";var n=t(\"../scatter/select\");e.exports=function(t,e){var r=n(t,e);if(r){var i,a,o,s=t.cd;for(o=0;o<r.length;o++)i=r[o],a=s[i.pointNumber],i.a=a.a,i.b=a.b,i.c=a.c,delete i.x,delete i.y;return r}}},{\"../scatter/select\":994}],1012:[function(t,e,r){\"use strict\";var n=t(\"../scatter/style\");e.exports=function(t){for(var e=t._fullLayout._modules,r=0;r<e.length;r++)if(\"scatter\"===e[r].name)return;n(t)}},{\"../scatter/style\":995}],1013:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../components/colorscale/color_attributes\"),o=t(\"../../components/drawing/attributes\").dash,s=t(\"../../lib/extend\").extendFlat,l=n.marker,u=n.line,c=l.line;e.exports={lon:{valType:\"data_array\"},lat:{valType:\"data_array\"},locations:{valType:\"data_array\"},locationmode:{valType:\"enumerated\",values:[\"ISO-3\",\"USA-states\",\"country names\"],dflt:\"ISO-3\"},mode:s({},n.mode,{dflt:\"markers\"}),text:s({},n.text,{}),hovertext:s({},n.hovertext,{}),textfont:n.textfont,textposition:n.textposition,line:{color:u.color,width:u.width,dash:o},connectgaps:n.connectgaps,marker:s({},{symbol:l.symbol,opacity:l.opacity,size:l.size,sizeref:l.sizeref,sizemin:l.sizemin,sizemode:l.sizemode,showscale:l.showscale,colorbar:l.colorbar,line:s({},{width:c.width},a(\"marker.line\"))},a(\"marker\")),fill:{valType:\"enumerated\",values:[\"none\",\"toself\"],dflt:\"none\"},fillcolor:n.fillcolor,hoverinfo:s({},i.hoverinfo,{flags:[\"lon\",\"lat\",\"location\",\"text\",\"name\"]})}},{\"../../components/colorscale/color_attributes\":585,\"../../components/drawing/attributes\":601,\"../../lib/extend\":677,\"../../plots/attributes\":722,\"../scatter/attributes\":976}],1014:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../constants/numerical\").BADNUM,a=t(\"../scatter/colorscale_calc\"),o=t(\"../scatter/arrays_to_calcdata\");e.exports=function(t,e){for(var r=Array.isArray(e.locations),s=r?e.locations.length:e.lon.length,l=new Array(s),u=0;u<s;u++){var c=l[u]={};if(r){var h=e.locations[u];c.loc=\"string\"==typeof h?h:null}else{var f=e.lon[u],d=e.lat[u];n(f)&&n(d)?c.lonlat=[+f,+d]:c.lonlat=[i,i]}}return o(l,e),a(e),l}},{\"../../constants/numerical\":666,\"../scatter/arrays_to_calcdata\":975,\"../scatter/colorscale_calc\":980,\"fast-isnumeric\":116}],1015:[function(t,e,r){\"use strict\";function n(t,e,r){var n,i,a=0,o=r(\"locations\");return o?(r(\"locationmode\"),a=o.length):(n=r(\"lon\")||[],i=r(\"lat\")||[],a=Math.min(n.length,i.length),a<n.length&&(e.lon=n.slice(0,a)),a<i.length&&(e.lat=i.slice(0,a)),a)}var i=t(\"../../lib\"),a=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/text_defaults\"),u=t(\"../scatter/fillcolor_defaults\"),c=t(\"./attributes\");e.exports=function(t,e,r,h){function f(r,n){return i.coerce(t,e,c,r,n)}if(!n(t,e,f))return void(e.visible=!1);f(\"text\"),f(\"hovertext\"),f(\"mode\"),a.hasLines(e)&&(s(t,e,r,h,f),f(\"connectgaps\")),a.hasMarkers(e)&&o(t,e,r,h,f),a.hasText(e)&&l(t,e,h,f),f(\"fill\"),\"none\"!==e.fill&&u(t,e,r,f),f(\"hoverinfo\",1===h._dataLength?\"lon+lat+location+text\":void 0)}},{\"../../lib\":685,\"../scatter/fillcolor_defaults\":983,\"../scatter/line_defaults\":987,\"../scatter/marker_defaults\":992,\"../scatter/subtypes\":996,\"../scatter/text_defaults\":997,\"./attributes\":1013}],1016:[function(t,e,r){\"use strict\";e.exports=function(t,e){return t.lon=e.lon,t.lat=e.lat,t.location=e.lon?e.lon:null,t}},{}],1017:[function(t,e,r){\"use strict\";function n(t,e,r){function n(t){return a.tickText(r,r.c2l(t),\"hover\").text+\"\\xb0\"}var i=t.hoverinfo,o=\"all\"===i?l.hoverinfo.flags:i.split(\"+\"),s=o.indexOf(\"location\")!==-1&&Array.isArray(t.locations),u=o.indexOf(\"lon\")!==-1,c=o.indexOf(\"lat\")!==-1,h=o.indexOf(\"text\")!==-1,f=[];if(s?f.push(e.loc):u&&c?f.push(\"(\"+n(e.lonlat[0])+\", \"+n(e.lonlat[1])+\")\"):u?f.push(\"lon: \"+n(e.lonlat[0])):c&&f.push(\"lat: \"+n(e.lonlat[1])),h){var d;e.htx?d=e.htx:t.hovertext?d=t.hovertext:e.tx?d=e.tx:t.text&&(d=t.text),Array.isArray(d)||f.push(d)}return f.join(\"<br>\")}var i=t(\"../../plots/cartesian/graph_interact\"),a=t(\"../../plots/cartesian/axes\"),o=t(\"../../constants/numerical\").BADNUM,s=t(\"../scatter/get_trace_color\"),l=t(\"./attributes\");e.exports=function(t){function e(t){return h.projection(t)}function r(t){var r=t.lonlat;if(r[0]===o)return 1/0;if(h.isLonLatOverEdges(r))return 1/0;var n=e(r),i=u.c2p(),a=c.c2p(),s=Math.abs(i-n[0]),l=Math.abs(a-n[1]),f=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(s*s+l*l)-f,1-3/f)}var a=t.cd,l=a[0].trace,u=t.xa,c=t.ya,h=t.subplot;if(i.getClosest(a,r,t),t.index!==!1){var f=a[t.index],d=f.lonlat,p=e(d),m=f.mrc||1;return t.x0=p[0]-m,t.x1=p[0]+m,t.y0=p[1]-m,t.y1=p[1]+m,t.loc=f.loc,t.lat=d[0],t.lon=d[1],t.color=s(l,f),t.extraText=n(l,f,h.mockAxis),[t]}}},{\"../../constants/numerical\":666,\"../../plots/cartesian/axes\":724,\"../../plots/cartesian/graph_interact\":733,\"../scatter/get_trace_color\":984,\"./attributes\":1013}],1018:[function(t,e,r){\"use strict\";var n={};n.attributes=t(\"./attributes\"),n.supplyDefaults=t(\"./defaults\"),n.colorbar=t(\"../scatter/colorbar\"),n.calc=t(\"./calc\"),n.plot=t(\"./plot\"),n.hoverPoints=t(\"./hover\"),n.eventData=t(\"./event_data\"),n.moduleType=\"trace\",n.name=\"scattergeo\",n.basePlotModule=t(\"../../plots/geo\"),n.categories=[\"geo\",\"symbols\",\"markerColorscale\",\"showLegend\"],n.meta={},e.exports=n},{\"../../plots/geo\":752,\"../scatter/colorbar\":979,\"./attributes\":1013,\"./calc\":1014,\"./defaults\":1015,\"./event_data\":1016,\"./hover\":1017,\"./plot\":1019}],1019:[function(t,e,r){\"use strict\";function n(t,e){var r=t[0].trace;if(Array.isArray(r.locations))for(var n=c(r,e),i=r.locationmode,a=0;a<t.length;a++){var o=t[a],s=h(i,o.loc,n);o.lonlat=s?s.properties.ct:[u,u]}}function i(t){var e=t.framework.selectAll(\"g.trace.scattergeo\");e.style(\"opacity\",function(t){return t[0].trace.opacity}),e.each(function(t){var e=t[0].trace,r=a.select(this);r.selectAll(\"path.point\").call(o.pointStyle,e),r.selectAll(\"text\").call(o.textPointStyle,e)}),e.selectAll(\"path.js-line\").style(\"fill\",\"none\").each(function(t){var e=a.select(this),r=t.trace,n=r.line||{};e.call(s.stroke,n.color).call(o.dashLine,n.dash||\"\",n.width||0),\"none\"!==r.fill&&e.call(s.fill,r.fillcolor)})}var a=t(\"d3\"),o=t(\"../../components/drawing\"),s=t(\"../../components/color\"),l=t(\"../../lib\"),u=t(\"../../constants/numerical\").BADNUM,c=t(\"../../lib/topojson_utils\").getTopojsonFeatures,h=t(\"../../lib/geo_location_utils\").locationToFeature,f=t(\"../../lib/geojson_utils\"),d=t(\"../scatter/subtypes\");e.exports=function(t,e){function r(t){return t[0].trace.uid}function o(t,e){t.lonlat[0]===u&&a.select(e).remove()}for(var s=0;s<e.length;s++)n(e[s],t.topojson);var c=t.framework.select(\".scattergeolayer\").selectAll(\"g.trace.scattergeo\").data(e,r);c.enter().append(\"g\").attr(\"class\",\"trace 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n=t(\"../scatter/attributes\"),i=t(\"../../components/colorscale/color_attributes\"),a=t(\"../../constants/gl2d_dashes\"),o=t(\"../../constants/gl_markers\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../lib/extend\").extendDeep,u=n.line,c=n.marker,h=c.line;e.exports={x:n.x,x0:n.x0,dx:n.dx,y:n.y,y0:n.y0,dy:n.dy,text:s({},n.text,{}),mode:{valType:\"flaglist\",flags:[\"lines\",\"markers\"],extras:[\"none\"]},line:{color:u.color,width:u.width,dash:{valType:\"enumerated\",values:Object.keys(a),dflt:\"solid\"}},marker:l({},i(\"marker\"),{symbol:{valType:\"enumerated\",values:Object.keys(o),dflt:\"circle\",arrayOk:!0},size:c.size,sizeref:c.sizeref,sizemin:c.sizemin,sizemode:c.sizemode,opacity:c.opacity,showscale:c.showscale,colorbar:c.colorbar,line:l({},i(\"marker.line\"),{width:h.width})}),connectgaps:n.connectgaps,fill:s({},n.fill,{values:[\"none\",\"tozeroy\",\"tozerox\"]}),fillcolor:n.fillcolor,error_y:n.error_y,error_x:n.error_x}},{\"../../components/colorscale/color_attributes\":585,\"../../constants/gl2d_dashes\":662,\"../../constants/gl_markers\":664,\"../../lib/extend\":677,\"../scatter/attributes\":976}],1021:[function(t,e,r){\"use strict\";function n(t,e){this.scene=t,this.uid=e,this.type=\"scattergl\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.connectgaps=!0,this.index=null,this.idToIndex=[],this.bounds=[0,0,0,0],this.isVisible=!1,this.hasLines=!1,this.hasErrorX=!1,this.hasErrorY=!1,this.hasMarkers=!1,this.line=this.initObject(d,{positions:new Float64Array(0),color:[0,0,0,1],width:1,fill:[!1,!1,!1,!1],fillColor:[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],dashes:[1]},0),this.errorX=this.initObject(p,{positions:new Float64Array(0),errors:new Float64Array(0),lineWidth:1,capSize:0,color:[0,0,0,1]},1),this.errorY=this.initObject(p,{positions:new Float64Array(0),errors:new Float64Array(0),lineWidth:1,capSize:0,color:[0,0,0,1]},2);var r={positions:new 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v=0;v<a;++v)e=n[v],r=i[v],m(r)&&(d||(e=g.dateTime2ms(e,f)),o[c++]=v,s[h++]=e,s[h++]=r,l[0]=Math.min(l[0],e),l[1]=Math.min(l[1],r),l[2]=Math.max(l[2],e),l[3]=Math.max(l[3],r));s=_(s,h),this.idToIndex=o,this.updateLines(t,s),this.updateError(\"X\",t),this.updateError(\"Y\",t);var b;if(this.hasMarkers){this.scatter.options.positions=s;var w=x(t.marker.color),M=x(t.marker.line.color),k=t.opacity*t.marker.opacity;w[3]*=k,this.scatter.options.color=w,M[3]*=k,this.scatter.options.borderColor=M,b=t.marker.size,this.scatter.options.size=b,this.scatter.options.borderSize=t.marker.line.width,this.scatter.update()}else this.scatter.clear();this.fancyScatter.clear(),this.expandAxesFast(l,b)},L.updateFancy=function(t){var e=this.scene,r=e.xaxis,n=e.yaxis,a=this.bounds,o=this.pickXData=r.makeCalcdata(t,\"x\").slice(),l=this.pickYData=n.makeCalcdata(t,\"y\").slice();this.xData=o.slice(),this.yData=l.slice();var u,c,h,f,d,p,m,g,v=b.calcFromTrace(t,e.fullLayout),y=o.length,x=new Array(y),w=new 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O,j=k(t),R=t.marker,F=R.opacity,N=t.opacity,B=s(R,F,N,y),U=D(R.symbol,y),V=C(R.line.width,y),H=s(R.line,F,N,y);for(P=i(j,R.size,y),u=0;u<T;++u)for(O=x[u],this.scatter.options.sizes[u]=4*P[O],this.scatter.options.glyphs[u]=U[O],this.scatter.options.borderWidths[u]=.5*V[O],c=0;c<4;++c)this.scatter.options.colors[4*u+c]=B[4*O+c],this.scatter.options.borderColors[4*u+c]=H[4*O+c];this.fancyScatter.update()}else this.fancyScatter.clear();this.scatter.clear(),this.expandAxesFancy(o,l,P)},L.updateLines=function(t,e){var r;if(this.hasLines){var n=e;if(!t.connectgaps){var i=0,a=this.xData,s=this.yData;for(n=new Float64Array(2*a.length),r=0;r<a.length;++r)n[i++]=a[r],n[i++]=s[r]}this.line.options.positions=n;var l=o(t.line.color,t.opacity,1),u=Math.round(.5*this.line.options.width),c=(S[t.line.dash]||[1]).slice();for(r=0;r<c.length;++r)c[r]*=u;switch(t.fill){case\"tozeroy\":this.line.options.fill=[!1,!0,!1,!1];break;case\"tozerox\":this.line.options.fill=[!0,!1,!1,!1];break;default:this.line.options.fill=[!1,!1,!1,!1]}var h=x(t.fillcolor);this.line.options.color=l,this.line.options.width=2*t.line.width,this.line.options.dashes=c,this.line.options.fillColor=[h,h,h,h],this.line.update()}else this.line.clear()},L.updateError=function(t,e,r,n){var i=this[\"error\"+t],a=e[\"error_\"+t.toLowerCase()];\"x\"===t.toLowerCase()&&a.copy_ystyle&&(a=e.error_y),this[\"hasError\"+t]?(i.options.positions=r,i.options.errors=n,i.options.capSize=a.width,i.options.lineWidth=a.thickness/2,i.options.color=o(a.color,1,1),i.update()):i.clear()},L.expandAxesFast=function(t,e){for(var r,n,i,a=e||10,o=0;o<2;o++)r=this.scene[E[o]],n=r._min,n||(n=[]),n.push({val:t[o],pad:a}),i=r._max,i||(i=[]),i.push({val:t[o+2],pad:a})},L.expandAxesFancy=function(t,e,r){var n=this.scene,i={padded:!0,ppad:r};v.expand(n.xaxis,t,i),v.expand(n.yaxis,e,i)},L.dispose=function(){this.line.dispose(),this.errorX.dispose(),this.errorY.dispose(),this.scatter.dispose(),this.fancyScatter.dispose()},e.exports=c},{\"../../components/errorbars\":608,\"../../constants/gl2d_dashes\":662,\"../../constants/gl_markers\":664,\"../../lib\":685,\"../../lib/gl_format_color\":682,\"../../lib/str2rgbarray\":703,\"../../lib/typed_array_truncate\":707,\"../../plots/cartesian/axes\":724,\"../../plots/cartesian/axis_autotype\":725,\"../scatter/get_trace_color\":984,\"../scatter/make_bubble_size_func\":991,\"../scatter/subtypes\":996,\"fast-isnumeric\":116,\"gl-error2d\":144,\"gl-line2d\":154,\"gl-scatter2d\":232,\"gl-scatter2d-sdf\":227}],1022:[function(t,e,r){\"use strict\";var 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vt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(v,U),i=Math.imul(v,V),i=i+Math.imul(y,U)|0,a=Math.imul(y,V),n=n+Math.imul(p,q)|0,i=i+Math.imul(p,G)|0,i=i+Math.imul(m,q)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(h,W)|0,i=i+Math.imul(h,X)|0,i=i+Math.imul(f,W)|0,a=a+Math.imul(f,X)|0;var yt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(x,U),i=Math.imul(x,V),i=i+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(v,q)|0,i=i+Math.imul(v,G)|0,i=i+Math.imul(y,q)|0,a=a+Math.imul(y,G)|0,n=n+Math.imul(p,W)|0,i=i+Math.imul(p,X)|0,i=i+Math.imul(m,W)|0,a=a+Math.imul(m,X)|0,n=n+Math.imul(h,J)|0,i=i+Math.imul(h,Q)|0,i=i+Math.imul(f,J)|0,a=a+Math.imul(f,Q)|0;var bt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=Math.imul(M,V),i=i+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(x,q)|0,i=i+Math.imul(x,G)|0,i=i+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(v,W)|0,i=i+Math.imul(v,X)|0,i=i+Math.imul(y,W)|0,a=a+Math.imul(y,X)|0,n=n+Math.imul(p,J)|0,i=i+Math.imul(p,Q)|0,i=i+Math.imul(m,J)|0,a=a+Math.imul(m,Q)|0,n=n+Math.imul(h,$)|0,i=i+Math.imul(h,tt)|0,i=i+Math.imul(f,$)|0,a=a+Math.imul(f,tt)|0;var xt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=Math.imul(T,V),i=i+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(M,q)|0,i=i+Math.imul(M,G)|0,i=i+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(x,W)|0,i=i+Math.imul(x,X)|0,i=i+Math.imul(_,W)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(v,J)|0,i=i+Math.imul(v,Q)|0,i=i+Math.imul(y,J)|0,a=a+Math.imul(y,Q)|0,n=n+Math.imul(p,$)|0,i=i+Math.imul(p,tt)|0,i=i+Math.imul(m,$)|0,a=a+Math.imul(m,tt)|0,n=n+Math.imul(h,rt)|0,i=i+Math.imul(h,nt)|0,i=i+Math.imul(f,rt)|0,a=a+Math.imul(f,nt)|0;var _t=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=Math.imul(L,V),i=i+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(T,q)|0,i=i+Math.imul(T,G)|0,i=i+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(M,W)|0,i=i+Math.imul(M,X)|0,i=i+Math.imul(k,W)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(x,J)|0,i=i+Math.imul(x,Q)|0,i=i+Math.imul(_,J)|0,a=a+Math.imul(_,Q)|0,n=n+Math.imul(v,$)|0,i=i+Math.imul(v,tt)|0,i=i+Math.imul(y,$)|0,a=a+Math.imul(y,tt)|0,n=n+Math.imul(p,rt)|0,i=i+Math.imul(p,nt)|0,i=i+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0,n=n+Math.imul(h,at)|0,i=i+Math.imul(h,ot)|0,i=i+Math.imul(f,at)|0,a=a+Math.imul(f,ot)|0;var wt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(D,U),i=Math.imul(D,V),i=i+Math.imul(I,U)|0,a=Math.imul(I,V),n=n+Math.imul(L,q)|0,i=i+Math.imul(L,G)|0,i=i+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(T,W)|0,i=i+Math.imul(T,X)|0,i=i+Math.imul(S,W)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(M,J)|0,i=i+Math.imul(M,Q)|0,i=i+Math.imul(k,J)|0,a=a+Math.imul(k,Q)|0,n=n+Math.imul(x,$)|0,i=i+Math.imul(x,tt)|0,i=i+Math.imul(_,$)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(v,rt)|0,i=i+Math.imul(v,nt)|0,i=i+Math.imul(y,rt)|0,a=a+Math.imul(y,nt)|0,n=n+Math.imul(p,at)|0,i=i+Math.imul(p,ot)|0,i=i+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0,n=n+Math.imul(h,lt)|0,i=i+Math.imul(h,ut)|0,i=i+Math.imul(f,lt)|0,a=a+Math.imul(f,ut)|0;var 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kt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(F,U),i=Math.imul(F,V),i=i+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(O,q)|0,i=i+Math.imul(O,G)|0,i=i+Math.imul(j,q)|0,a=a+Math.imul(j,G)|0,n=n+Math.imul(D,W)|0,i=i+Math.imul(D,X)|0,i=i+Math.imul(I,W)|0,a=a+Math.imul(I,X)|0,n=n+Math.imul(L,J)|0,i=i+Math.imul(L,Q)|0,i=i+Math.imul(C,J)|0,a=a+Math.imul(C,Q)|0,n=n+Math.imul(T,$)|0,i=i+Math.imul(T,tt)|0,i=i+Math.imul(S,$)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(M,rt)|0,i=i+Math.imul(M,nt)|0,i=i+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(x,at)|0,i=i+Math.imul(x,ot)|0,i=i+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(v,lt)|0,i=i+Math.imul(v,ut)|0,i=i+Math.imul(y,lt)|0,a=a+Math.imul(y,ut)|0,n=n+Math.imul(p,ht)|0,i=i+Math.imul(p,ft)|0,i=i+Math.imul(m,ht)|0,a=a+Math.imul(m,ft)|0,n=n+Math.imul(h,pt)|0,i=i+Math.imul(h,mt)|0,i=i+Math.imul(f,pt)|0,a=a+Math.imul(f,mt)|0;var At=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(F,q),i=Math.imul(F,G),i=i+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(O,W)|0,i=i+Math.imul(O,X)|0,i=i+Math.imul(j,W)|0,a=a+Math.imul(j,X)|0,n=n+Math.imul(D,J)|0,i=i+Math.imul(D,Q)|0,i=i+Math.imul(I,J)|0,a=a+Math.imul(I,Q)|0,n=n+Math.imul(L,$)|0,i=i+Math.imul(L,tt)|0,i=i+Math.imul(C,$)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(T,rt)|0,i=i+Math.imul(T,nt)|0,i=i+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(M,at)|0,i=i+Math.imul(M,ot)|0,i=i+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(x,lt)|0,i=i+Math.imul(x,ut)|0,i=i+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(v,ht)|0,i=i+Math.imul(v,ft)|0,i=i+Math.imul(y,ht)|0,a=a+Math.imul(y,ft)|0,n=n+Math.imul(p,pt)|0,i=i+Math.imul(p,mt)|0,i=i+Math.imul(m,pt)|0,a=a+Math.imul(m,mt)|0;var Tt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(F,W),i=Math.imul(F,X),i=i+Math.imul(N,W)|0,a=Math.imul(N,X),n=n+Math.imul(O,J)|0,i=i+Math.imul(O,Q)|0,i=i+Math.imul(j,J)|0,a=a+Math.imul(j,Q)|0,n=n+Math.imul(D,$)|0,i=i+Math.imul(D,tt)|0,i=i+Math.imul(I,$)|0,a=a+Math.imul(I,tt)|0,n=n+Math.imul(L,rt)|0,i=i+Math.imul(L,nt)|0,i=i+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(T,at)|0,i=i+Math.imul(T,ot)|0,i=i+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(M,lt)|0,i=i+Math.imul(M,ut)|0,i=i+Math.imul(k,lt)|0,a=a+Math.imul(k,ut)|0,n=n+Math.imul(x,ht)|0,i=i+Math.imul(x,ft)|0,i=i+Math.imul(_,ht)|0,a=a+Math.imul(_,ft)|0,n=n+Math.imul(v,pt)|0,i=i+Math.imul(v,mt)|0,i=i+Math.imul(y,pt)|0,a=a+Math.imul(y,mt)|0;var St=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(F,J),i=Math.imul(F,Q),i=i+Math.imul(N,J)|0,a=Math.imul(N,Q),n=n+Math.imul(O,$)|0,i=i+Math.imul(O,tt)|0,i=i+Math.imul(j,$)|0,a=a+Math.imul(j,tt)|0,n=n+Math.imul(D,rt)|0,i=i+Math.imul(D,nt)|0,i=i+Math.imul(I,rt)|0,a=a+Math.imul(I,nt)|0,n=n+Math.imul(L,at)|0,i=i+Math.imul(L,ot)|0,i=i+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(T,lt)|0,i=i+Math.imul(T,ut)|0,i=i+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|0,n=n+Math.imul(M,ht)|0,i=i+Math.imul(M,ft)|0,i=i+Math.imul(k,ht)|0,a=a+Math.imul(k,ft)|0,n=n+Math.imul(x,pt)|0,i=i+Math.imul(x,mt)|0,i=i+Math.imul(_,pt)|0,a=a+Math.imul(_,mt)|0;var Et=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(F,$),i=Math.imul(F,tt),i=i+Math.imul(N,$)|0,a=Math.imul(N,tt),n=n+Math.imul(O,rt)|0,i=i+Math.imul(O,nt)|0,i=i+Math.imul(j,rt)|0,a=a+Math.imul(j,nt)|0,n=n+Math.imul(D,at)|0,i=i+Math.imul(D,ot)|0,i=i+Math.imul(I,at)|0,a=a+Math.imul(I,ot)|0,n=n+Math.imul(L,lt)|0,i=i+Math.imul(L,ut)|0,i=i+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(T,ht)|0,i=i+Math.imul(T,ft)|0,i=i+Math.imul(S,ht)|0,a=a+Math.imul(S,ft)|0,n=n+Math.imul(M,pt)|0,i=i+Math.imul(M,mt)|0,i=i+Math.imul(k,pt)|0,a=a+Math.imul(k,mt)|0;var Lt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(F,rt),i=Math.imul(F,nt),i=i+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(O,at)|0,i=i+Math.imul(O,ot)|0,i=i+Math.imul(j,at)|0,a=a+Math.imul(j,ot)|0,n=n+Math.imul(D,lt)|0,i=i+Math.imul(D,ut)|0,i=i+Math.imul(I,lt)|0,a=a+Math.imul(I,ut)|0,n=n+Math.imul(L,ht)|0,i=i+Math.imul(L,ft)|0,i=i+Math.imul(C,ht)|0,a=a+Math.imul(C,ft)|0,n=n+Math.imul(T,pt)|0,i=i+Math.imul(T,mt)|0,i=i+Math.imul(S,pt)|0,a=a+Math.imul(S,mt)|0;var Ct=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(F,at),i=Math.imul(F,ot),i=i+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(O,lt)|0,i=i+Math.imul(O,ut)|0,i=i+Math.imul(j,lt)|0,a=a+Math.imul(j,ut)|0,n=n+Math.imul(D,ht)|0,i=i+Math.imul(D,ft)|0,i=i+Math.imul(I,ht)|0,a=a+Math.imul(I,ft)|0,n=n+Math.imul(L,pt)|0,i=i+Math.imul(L,mt)|0,i=i+Math.imul(C,pt)|0,a=a+Math.imul(C,mt)|0;var zt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863,n=Math.imul(F,lt),i=Math.imul(F,ut),i=i+Math.imul(N,lt)|0,a=Math.imul(N,ut),n=n+Math.imul(O,ht)|0,i=i+Math.imul(O,ft)|0,i=i+Math.imul(j,ht)|0,a=a+Math.imul(j,ft)|0,n=n+Math.imul(D,pt)|0,i=i+Math.imul(D,mt)|0,i=i+Math.imul(I,pt)|0,a=a+Math.imul(I,mt)|0;var Dt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Dt>>>26)|0,Dt&=67108863,n=Math.imul(F,ht),i=Math.imul(F,ft),i=i+Math.imul(N,ht)|0,a=Math.imul(N,ft),n=n+Math.imul(O,pt)|0,i=i+Math.imul(O,mt)|0,i=i+Math.imul(j,pt)|0,a=a+Math.imul(j,mt)|0;var It=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(F,pt),i=Math.imul(F,mt),i=i+Math.imul(N,pt)|0,a=Math.imul(N,mt);var Pt=(u+n|0)+((8191&i)<<13)|0;return u=(a+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,l[0]=gt,l[1]=vt,l[2]=yt,l[3]=bt,l[4]=xt,l[5]=_t,l[6]=wt,l[7]=Mt,l[8]=kt,l[9]=At,l[10]=Tt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=zt,l[16]=Dt,l[17]=It,l[18]=Pt,0!==u&&(l[19]=u,r.length++),r};Math.imul||(k=u),a.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?k(this,t,e):r<63?u(this,t,e):r<1024?c(this,t,e):h(this,t,e)},f.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},f.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},f.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},f.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),u=Math.sin(2*Math.PI/s),c=0;c<i;c+=s)for(var h=l,f=u,d=0;d<o;d++){var p=r[c+d],m=n[c+d],g=r[c+d+o],v=n[c+d+o],y=h*g-f*v;v=h*v+f*g,g=y,r[c+d]=p+g,n[c+d]=m+v,r[c+d+o]=p-g,n[c+d+o]=m-v,d!==s&&(y=l*h-u*f,f=l*f+u*h,h=y)}},f.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},f.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},f.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},f.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(a&-8192))},f.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},f.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),u=new Array(n),c=new Array(n),h=new Array(n),f=r.words;f.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,u,n),this.transform(o,a,s,l,n,i),this.transform(u,a,c,h,n,i);for(var d=0;d<n;d++){var p=s[d]*c[d]-l[d]*h[d];l[d]=s[d]*h[d]+l[d]*c[d],s[d]=p}return this.conjugate(s,l,n),this.transform(s,l,f,a,n,i),this.conjugate(f,a,n),this.normalize13b(f,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),h(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=l(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){\n",
       "n(\"number\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){n(\"number\"==typeof t&&t>=0);var i;i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var u=0;u<o;u++)l.words[u]=this.words[u];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,u=0;u<this.length;u++)this.words[u]=this.words[u+o];else this.words[0]=0,this.length=1;var c=0;for(u=this.length-1;u>=0&&(0!==c||u>=i);u--){var h=0|this.words[u];this.words[u]=c<<26-a|h>>>a,c=h&s}return l&&0!==c&&(l.words[l.length++]=c),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r)&&!!(this.words[r]&i)},a.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a=t.length+r;this._expand(a);var o,s=0;for(i=0;i<t.length;i++){o=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;o-=67108863&l,s=(o>>26)-(l/67108864|0),this.words[i+r]=67108863&o}for(;i<this.length-r;i++)o=(0|this.words[i+r])+s,s=o>>26,this.words[i+r]=67108863&o;if(0===s)return this.strip();for(n(s===-1),s=0,i=0;i<this.length;i++)o=-(0|this.words[i])+s,s=o>>26,this.words[i]=67108863&o;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=this.length-t.length,n=this.clone(),i=t,o=0|i.words[i.length-1];0!==(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){s=new a(null),s.length=l+1,s.words=new Array(s.length);for(var u=0;u<s.length;u++)s.words[u]=0}var c=n.clone()._ishlnsubmul(i,1,l);0===c.negative&&(n=c,s&&(s.words[l]=1));for(var h=l-1;h>=0;h--){var f=67108864*(0|n.words[i.length+h])+(0|n.words[i.length+h-1]);for(f=Math.min(f/o|0,67108863),n._ishlnsubmul(i,f,h);0!==n.negative;)f--,n.negative=0,n._ishlnsubmul(i,1,h),n.isZero()||(n.negative^=1);s&&(s.words[h]=f)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){if(n(!t.isZero()),this.isZero())return{div:new a(0),mod:new a(0)};var i,o,s;return 0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e)},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),u=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),h=e.clone();!e.isZero();){for(var f=0,d=1;0==(e.words[0]&d)&&f<26;++f,d<<=1);if(f>0)for(e.iushrn(f);f-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(c),o.isub(h)),i.iushrn(1),o.iushrn(1);for(var p=0,m=1;0==(r.words[0]&m)&&p<26;++p,m<<=1);if(p>0)for(r.iushrn(p);p-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),l.isub(h)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(u)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var l=0,u=1;0==(e.words[0]&u)&&l<26;++l,u<<=1);if(l>0)for(e.iushrn(l);l-- >0;)i.isOdd()&&i.iadd(s),i.iushrn(1);for(var c=0,h=1;0==(r.words[0]&h)&&c<26;++c,h<<=1);if(c>0)for(r.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(s),o.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(o)):(r.isub(e),o.isub(i))}var f;return f=0===e.cmpn(1)?i:o,f.cmpn(0)<0&&f.iadd(t),f},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];s+=a,a=s>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e=t<0;if(0!==this.negative&&!e)return-1;if(0===this.negative&&e)return 1;this.strip();var r;if(this.length>1)r=1;else{e&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];r=i===t?0:i<t?-1:1}return 0!==this.negative?0|-r:r},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return this.cmpn(t)===-1},a.prototype.lt=function(t){return this.cmp(t)===-1},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new y(t)},a.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,\"Already a number in reduction context\"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var A={k256:null,p224:null,p192:null,p25519:null};d.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},d.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),r=this.imulK(r),r=r.iadd(this.tmp),e=r.bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):r.strip(),r},d.prototype.split=function(t,e){t.iushrn(this.n,0,e)},d.prototype.imulK=function(t){return t.imul(this.k)},i(p,d),p.prototype.split=function(t,e){for(var r=Math.min(t.length,9),n=0;n<r;n++)e.words[n]=t.words[n];if(e.length=r,t.length<=9)return t.words[0]=0,void(t.length=1);var i=t.words[9];for(e.words[e.length++]=4194303&i,n=10;n<t.length;n++){var a=0|t.words[n];t.words[n-10]=(4194303&a)<<4|i>>>22,i=a}i>>>=22,t.words[n-10]=i,0===i&&t.length>10?t.length-=10:t.length-=9},p.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(m,d),i(g,d),i(v,d),v.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(A[t])return A[t];var e;if(\"k256\"===t)e=new p;else if(\"p224\"===t)e=new m;else if(\"p192\"===t)e=new g;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new v}return A[t]=e,e},y.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},y.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},y.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},y.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},y.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},y.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},y.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},y.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},y.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},y.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},y.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},y.prototype.isqr=function(t){return this.imul(t,t.clone())},y.prototype.sqr=function(t){return this.mul(t,t)},y.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),u=this.m.subn(1).iushrn(1),c=this.m.bitLength();for(c=new 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E=0;E<3;++E)j[E]+=M*O[E]*this.tickPad[E]/r[5*E];this._text.drawTicks(k,this.tickSize[k],this.tickAngle[k],j,this.tickColor[k])}if(this.labelEnable[k]){for(var E=0;E<3;++E)j[E]+=M*O[E]*this.labelPad[E]/r[5*E];j[k]+=.5*(s[0][k]+s[1][k]),this._text.drawLabel(k,this.labelSize[k],this.labelAngle[k],j,this.labelColor[k])}}},p.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{\"./lib/background.js\":134,\"./lib/cube.js\":135,\"./lib/lines.js\":136,\"./lib/text.js\":138,\"./lib/ticks.js\":139}],134:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}function i(t){for(var e=[],r=[],i=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(l+2)%3,h=[0,0,0],f=[0,0,0],d=-1;d<=1;d+=2){r.push(i,i+2,i+1,i+1,i+2,i+3),h[l]=d,f[l]=d;for(var p=-1;p<=1;p+=2){h[u]=p;for(var m=-1;m<=1;m+=2)h[c]=m,e.push(h[0],h[1],h[2],f[0],f[1],f[2]),i+=1}var g=u;u=c,c=g}var v=a(t,new 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R=O^1<<m;if(R!==_&&R!==P){j<0&&(j=R);var T=f[R];T[0]<f[j][0]&&(j=R)}}for(var F=-1,m=0;m<3;++m){var R=O^1<<m;if(R!==_&&R!==P&&R!==j){F<0&&(F=R);var T=f[R];T[0]>f[F][0]&&(F=R)}}var N=g;N[0]=N[1]=N[2]=0,N[o.log2(j^O)]=O&j,N[o.log2(O^F)]=O&F;var B=7^F;B===_||B===P?(B=7^j,N[o.log2(F^B)]=B&F):N[o.log2(j^B)]=B&j;for(var U=v,V=_,k=0;k<3;++k)U[k]=V&1<<k?-1:1;return y}e.exports=a;var o=t(\"bit-twiddle\"),s=t(\"gl-mat4/multiply\"),l=(t(\"gl-mat4/invert\"),t(\"split-polygon\")),u=t(\"robust-orientation\"),c=new Array(16),h=(new Array(16),new Array(8)),f=new Array(8),d=new Array(3),p=[0,0,0];!function(){for(var t=0;t<8;++t)h[t]=[1,1,1,1],f[t]=[1,1,1]}();var m=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]],g=[1,1,1],v=[0,0,0],y={cubeEdges:g,axis:v}},{\"bit-twiddle\":60,\"gl-mat4/invert\":165,\"gl-mat4/multiply\":167,\"robust-orientation\":489,\"split-polygon\":507}],136:[function(t,e,r){\"use strict\";function n(t){return t[0]=t[1]=t[2]=0,t}function i(t,e){return 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s=t(\"gl-buffer\"),l=t(\"gl-vao\"),u=t(\"./shaders\").line,c=[0,0,0],h=[0,0,0],f=[0,0,0],d=[0,0,0],p=[1,1],m=a.prototype;m.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,p[0]=this.gl.drawingBufferWidth,p[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=p,this.vao.bind()},m.drawAxisLine=function(t,e,r,a,o){var s=n(h);this.shader.uniforms.majorAxis=h,s[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=s;var l=i(d,r);l[t]+=e[0][t],this.shader.uniforms.offset=l,this.shader.uniforms.lineWidth=o,this.shader.uniforms.color=a;var u=n(f);u[(t+2)%3]=1,this.shader.uniforms.screenAxis=u,this.vao.draw(this.gl.TRIANGLES,6);var u=n(f);u[(t+1)%3]=1,this.shader.uniforms.screenAxis=u,this.vao.draw(this.gl.TRIANGLES,6)},m.drawAxisTicks=function(t,e,r,i,a){if(this.tickCount[t]){var o=n(c);o[t]=1,this.shader.uniforms.majorAxis=o,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=i,this.shader.uniforms.lineWidth=a;var s=n(f);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},m.drawGrid=function(t,e,r,a,o,s){if(this.gridCount[t]){var l=n(h);l[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=l;var u=i(d,a);u[e]+=r[0][e],this.shader.uniforms.offset=u;var p=n(c);p[t]=1,this.shader.uniforms.majorAxis=p;var m=n(f);m[t]=1,this.shader.uniforms.screenAxis=m,this.shader.uniforms.lineWidth=s,this.shader.uniforms.color=o,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},m.drawZero=function(t,e,r,a,o,s){var l=n(h);this.shader.uniforms.majorAxis=l,l[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=l;var u=i(d,a);u[t]+=r[0][t],this.shader.uniforms.offset=u;var c=n(f);c[e]=1,this.shader.uniforms.screenAxis=c,this.shader.uniforms.lineWidth=s,this.shader.uniforms.color=o,this.vao.draw(this.gl.TRIANGLES,6)},m.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{\"./shaders\":137,\"gl-buffer\":141,\"gl-vao\":255}],137:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\");r.line=function(t){return n(t,\"#define GLSLIFY 1\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\",\"precision mediump float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\",null,[{name:\"position\",type:\"vec3\"}])};r.text=function(t){return n(t,\"#define GLSLIFY 1\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvoid main() {  \\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n  mat2 planeXform = scale * mat2(cos(angle), sin(angle),\\n                                -sin(angle), cos(angle));\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n  vec4 worldPosition = model * vec4(dataPosition, 1);\\n  \\n  //Compute clip position\\n  vec4 viewPosition = view * worldPosition;\\n  vec4 clipPosition = projection * viewPosition;\\n  clipPosition /= clipPosition.w;\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec4(viewOffset, 0, 0);\\n\\n  //Done\\n  gl_Position = clipPosition;\\n}\",\"precision mediump float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\",null,[{name:\"position\",type:\"vec3\"}])};r.bg=function(t){return n(t,\"#define GLSLIFY 1\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  if(dot(normal, enable) > 0.0) {\\n    vec3 nPosition = mix(bounds[0], bounds[1], 0.5 * (position + 1.0));\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n  colorChannel = abs(normal);\\n}\",\"precision mediump float;\\n#define 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       "var a=h[r];a||(a=h[r]={});var o=a[e];o||(o=a[e]=i(e,{triangles:!0,font:r,textAlign:\"center\",textBaseline:\"middle\"}));for(var l=(n||12)/12,u=o.positions,c=o.cells,f=0,d=c.length;f<d;++f)for(var p=c[f],m=2;m>=0;--m){var g=u[p[m]];s.push(l*g[0],-l*g[1],t)}}for(var s=(this.gl,[]),l=[0,0,0],u=[0,0,0],c=[0,0,0],f=[0,0,0],d=0;d<3;++d){c[d]=s.length/3|0,o(.5*(t[0][d]+t[1][d]),e[d],r),f[d]=(s.length/3|0)-c[d],l[d]=s.length/3|0;for(var p=0;p<n[d].length;++p)n[d][p].text&&o(n[d][p].x,n[d][p].text,n[d][p].font||a,n[d][p].fontSize||12);u[d]=(s.length/3|0)-l[d]}this.buffer.update(s),this.tickOffset=l,this.tickCount=u,this.labelOffset=c,this.labelCount=f};var p=[0,0,0];f.drawTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=p;a[0]=a[1]=a[2]=0,a[t]=1,this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}};var m=[0,0,0];f.drawLabel=function(t,e,r,n,i){this.labelCount[t]&&(this.shader.uniforms.axis=m,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},f.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this,t(\"_process\"))},{\"./shaders\":137,_process:468,\"gl-buffer\":141,\"gl-vao\":255,\"vectorize-text\":534}],139:[function(t,e,r){\"use strict\";function n(t,e){var r=t+\"\",n=r.indexOf(\".\"),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/a,u=o%a;o<0?(l=0|-Math.ceil(l),u=0|-u):(l=0|Math.floor(l),u|=0);var c=\"\"+l;if(o<0&&(c=\"-\"+c),i){for(var h=\"\"+u;h.length<i;)h=\"0\"+h;return c+\".\"+h}return c}function i(t,e){for(var r=[],i=0;i<3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]<=t[1][i];++o)a.push({x:o*e[i],text:n(e[i],o)});for(var o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:n(e[i],o)});r.push(a)}return r}function a(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}r.create=i,r.equal=a},{}],140:[function(t,e,r){\"use strict\";function n(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}function i(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=p,s=m,l=0;l<3;++l)s[l]=o[l]=r[l];s[3]=o[3]=1,s[a]+=1,h(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,h(o,o,e),o[3]<0&&(t[a]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,c=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(u*u+c*c)}return t}function a(t,e,r,n,a){var h=e.model||f,p=e.view||f,m=e.projection||f,y=t.bounds,a=a||l(h,p,m,y),b=a.axis;a.edges;u(d,p,h),u(d,m,d);for(var x=g,_=0;_<3;++_)x[_].lo=1/0,x[_].hi=-1/0,x[_].pixelsPerDataUnit=1/0;var w=o(c(d,d));c(d,d);for(var M=0;M<3;++M){var k=(M+1)%3,A=(M+2)%3,T=v;t:for(var _=0;_<2;++_){var S=[];if(b[M]<0!=!!_){T[M]=y[_][M];for(var E=0;E<2;++E){T[k]=y[E^_][k];for(var L=0;L<2;++L)T[A]=y[L^E^_][A],S.push(T.slice())}for(var E=0;E<w.length;++E){if(0===S.length)continue t;S=s.positive(S,w[E])}for(var E=0;E<S.length;++E)for(var A=S[E],C=i(v,d,A,r,n),L=0;L<3;++L)x[L].lo=Math.min(x[L].lo,A[L]),x[L].hi=Math.max(x[L].hi,A[L]),L!==M&&(x[L].pixelsPerDataUnit=Math.min(x[L].pixelsPerDataUnit,Math.abs(C[L])))}}}return x}e.exports=a;var o=t(\"extract-frustum-planes\"),s=t(\"split-polygon\"),l=t(\"./lib/cube.js\"),u=t(\"gl-mat4/multiply\"),c=t(\"gl-mat4/transpose\"),h=t(\"gl-vec4/transformMat4\"),f=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),d=new Float32Array(16),p=[0,0,0,1],m=[0,0,0,1],g=[new n(1/0,-1/0,1/0),new n(1/0,-1/0,1/0),new n(1/0,-1/0,1/0)],v=[0,0,0]},{\"./lib/cube.js\":135,\"extract-frustum-planes\":115,\"gl-mat4/multiply\":167,\"gl-mat4/transpose\":175,\"gl-vec4/transformMat4\":261,\"split-polygon\":507}],141:[function(t,e,r){\"use strict\";function n(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}function i(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function a(t,e){for(var r=l.malloc(t.length,e),n=t.length,i=0;i<n;++i)r[i]=t[i];return r}function o(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}function s(t,e,r,i){if(r=r||t.ARRAY_BUFFER,i=i||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(i!==t.DYNAMIC_DRAW&&i!==t.STATIC_DRAW&&i!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var a=t.createBuffer(),o=new n(t,r,a,0,i);return o.update(e),o}var l=t(\"typedarray-pool\"),u=t(\"ndarray-ops\"),c=t(\"ndarray\"),h=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"],f=n.prototype;f.bind=function(){this.gl.bindBuffer(this.type,this.handle)},f.unbind=function(){this.gl.bindBuffer(this.type,null)},f.dispose=function(){this.gl.deleteBuffer(this.handle)},f.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&void 0!==t.shape){var r=t.dtype;if(h.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER){r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\"}if(r===t.dtype&&o(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=i(this.gl,this.type,this.length,this.usage,t.data,e):this.length=i(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var n=l.malloc(t.size,r),s=c(n,t.shape);u.assign(s,t),this.length=e<0?i(this.gl,this.type,this.length,this.usage,n,e):i(this.gl,this.type,this.length,this.usage,n.subarray(0,t.size),e),l.free(n)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?a(t,\"uint16\"):a(t,\"float32\"),this.length=e<0?i(this.gl,this.type,this.length,this.usage,f,e):i(this.gl,this.type,this.length,this.usage,f.subarray(0,t.length),e),l.free(f)}else if(\"object\"==typeof t&&\"number\"==typeof 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n=t(\"./1.0/numbers\");e.exports=function(t){return n[t]}},{\"./1.0/numbers\":142}],144:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.plot=t,this.shader=e,this.bufferHi=r,this.bufferLo=n,this.bounds=[1/0,1/0,-1/0,-1/0],this.numPoints=0,this.color=[0,0,0,1]}function i(t,e){var r=a(t.gl,l.vertex,l.fragment),i=o(t.gl),s=o(t.gl),u=new n(t,r,i,s);return u.update(e),t.addObject(u),u}var a=t(\"gl-shader\"),o=t(\"gl-buffer\"),s=t(\"typedarray-pool\"),l=t(\"./lib/shaders\");e.exports=i;var u=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]],c=n.prototype;c.draw=function(){var t=new Float32Array([0,0]),e=new Float32Array([0,0]),r=new Float32Array([0,0]),n=new Float32Array([0,0]),i=[1,1];return function(){var a=this.plot,o=this.shader,s=this.bounds,l=this.numPoints;if(l){var c=a.gl,h=a.dataBox,f=a.viewBox,d=a.pixelRatio,p=s[2]-s[0],m=s[3]-s[1],g=h[2]-h[0],v=h[3]-h[1],y=2*p/g,b=2*m/v,x=(s[0]-h[0]-.5*g)/p,_=(s[1]-h[1]-.5*v)/m;t[0]=y,t[1]=b,e[0]=y-t[0],e[1]=b-t[1],r[0]=x,r[1]=_,n[0]=x-r[0],n[1]=_-r[1];var w=f[2]-f[0],M=f[3]-f[1];i[0]=2*d/w,i[1]=2*d/M,o.bind(),o.uniforms.scaleHi=t,o.uniforms.scaleLo=e,o.uniforms.translateHi=r,o.uniforms.translateLo=n,o.uniforms.pixelScale=i,o.uniforms.color=this.color,this.bufferLo.bind(),o.attributes.positionLo.pointer(c.FLOAT,!1,16,0),this.bufferHi.bind(),o.attributes.positionHi.pointer(c.FLOAT,!1,16,0),o.attributes.pixelOffset.pointer(c.FLOAT,!1,16,8),c.drawArrays(c.TRIANGLES,0,l*u.length)}}}(),c.drawPick=function(t){return t},c.pick=function(){return null},c.update=function(t){t=t||{};var e,r,n,i=t.positions||[],a=t.errors||[],o=1;\"lineWidth\"in t&&(o=+t.lineWidth);var l=5;\"capSize\"in t&&(l=+t.capSize),this.color=(t.color||[0,0,0,1]).slice();var c=this.bounds=[1/0,1/0,-1/0,-1/0],h=this.numPoints=i.length>>1;for(e=0;e<h;++e)r=i[2*e],n=i[2*e+1],c[0]=Math.min(r,c[0]),c[1]=Math.min(n,c[1]),c[2]=Math.max(r,c[2]),c[3]=Math.max(n,c[3]);c[2]===c[0]&&(c[2]+=1),c[3]===c[1]&&(c[3]+=1);var f=1/(c[2]-c[0]),d=1/(c[3]-c[1]),p=c[0],m=c[1],g=s.mallocFloat64(h*u.length*4),v=s.mallocFloat32(h*u.length*4),y=s.mallocFloat32(h*u.length*4),b=0;for(e=0;e<h;++e){r=i[2*e],n=i[2*e+1];for(var x=a[4*e],_=a[4*e+1],w=a[4*e+2],M=a[4*e+3],k=0;k<u.length;++k){var A=u[k],T=A[0],S=A[1];T<0?T*=x:T>0&&(T*=_),S<0?S*=w:S>0&&(S*=M),g[b++]=f*(r-p+T),g[b++]=d*(n-m+S),g[b++]=o*A[2]+(l+o)*A[4],g[b++]=o*A[3]+(l+o)*A[5]}}for(e=0;e<g.length;e++)v[e]=g[e],y[e]=g[e]-v[e];this.bufferHi.update(v),this.bufferLo.update(y),s.free(g)},c.dispose=function(){this.plot.removeObject(this),this.shader.dispose(),this.bufferHi.dispose(),this.bufferLo.dispose()}},{\"./lib/shaders\":145,\"gl-buffer\":141,\"gl-shader\":239,\"typedarray-pool\":521}],145:[function(t,e,r){e.exports={vertex:\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 positionHi;\\nattribute vec2 positionLo;\\nattribute vec2 pixelOffset;\\n\\nuniform vec2 scaleHi, scaleLo, translateHi, translateLo, pixelScale;\\n\\nvec2 project(vec2 scHi, vec2 trHi, vec2 scLo, vec2 trLo, vec2 posHi, vec2 posLo) {\\n  return (posHi + trHi) * scHi\\n       + (posLo + trLo) * scHi\\n       + (posHi + trHi) * scLo\\n       + (posLo + trLo) * scLo;\\n}\\n\\nvoid main() {\\n  vec3 scrPosition = vec3(\\n         project(scaleHi, translateHi, scaleLo, translateLo, positionHi, positionLo),\\n         1);\\n  gl_Position = vec4(\\n    scrPosition.xy + scrPosition.z * pixelScale * pixelOffset,\\n    0,\\n    scrPosition.z);\\n}\\n\",fragment:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = vec4(color.rgb * color.a, color.a);\\n}\\n\"}},{}],146:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1}function i(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}function a(t,e,r,n){for(var i=f[n],a=0;a<i.length;++a){var o=i[a];t.push(e[0],e[1],e[2],r[0],r[1],r[2],r[3],o[0],o[1],o[2])}return i.length}function o(t){var e=t.gl,r=s(e),i=l(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),a=u(e);a.attributes.position.location=0,a.attributes.color.location=1,a.attributes.offset.location=2;var o=new n(e,r,i,a);return o.update(t),o}e.exports=o;var s=t(\"gl-buffer\"),l=t(\"gl-vao\"),u=t(\"./shaders/index\"),c=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],h=n.prototype;h.isOpaque=function(){return this.opacity>=1},h.isTransparent=function(){return this.opacity<1},h.drawTransparent=h.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||c,i=r.projection=t.projection||c;r.model=t.model||c,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],o=n[13],s=n[14],l=n[15],u=this.pixelRatio*(i[3]*a+i[7]*o+i[11]*s+i[15]*l)/e.drawingBufferHeight;this.vao.bind();for(var h=0;h<3;++h)e.lineWidth(this.lineWidth[h]),r.capSize=this.capSize[h]*u,e.drawArrays(e.LINES,this.lineOffset[h],this.lineCount[h]);this.vao.unbind()};var f=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=(n+e)%3,o=[0,0,0];o[a]=i,r.push(o)}t[e]=r}return t}();h.update=function(t){t=t||{},\"lineWidth\"in t&&(this.lineWidth=t.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),\"capSize\"in t&&(this.capSize=t.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),\"opacity\"in t&&(this.opacity=t.opacity);var e=t.color||[[0,0,0],[0,0,0],[0,0,0]],r=t.position,n=t.error;if(Array.isArray(e[0])||(e=[e,e,e]),r&&n){var o=[],s=r.length,l=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var u=0;u<3;++u){this.lineOffset[u]=l;t:for(var c=0;c<s;++c){for(var h=r[c],f=0;f<3;++f)if(isNaN(h[f])||!isFinite(h[f]))continue t;var d=n[c],p=e[u];if(Array.isArray(p[0])&&(p=e[c]),3===p.length&&(p=[p[0],p[1],p[2],1]),!isNaN(d[0][u])&&!isNaN(d[1][u])){if(d[0][u]<0){var m=h.slice();m[u]+=d[0][u],o.push(h[0],h[1],h[2],p[0],p[1],p[2],p[3],0,0,0,m[0],m[1],m[2],p[0],p[1],p[2],p[3],0,0,0),i(this.bounds,m),l+=2+a(o,m,p,u)}if(d[1][u]>0){var m=h.slice();m[u]+=d[1][u],o.push(h[0],h[1],h[2],p[0],p[1],p[2],p[3],0,0,0,m[0],m[1],m[2],p[0],p[1],p[2],p[3],0,0,0),i(this.bounds,m),l+=2+a(o,m,p,u)}}}this.lineCount[u]=l-this.lineOffset[u]}this.buffer.update(o)}},h.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},{\"./shaders/index\":147,\"gl-buffer\":141,\"gl-vao\":255}],147:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\");e.exports=function(t){return n(t,\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, offset;\\nattribute vec4 color;\\nuniform mat4 model, view, projection;\\nuniform float capSize;\\nvarying vec4 fragColor;\\nvarying vec3 fragPosition;\\n\\nvoid main() {\\n  vec4 worldPosition  = model * vec4(position, 1.0);\\n  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\\n  gl_Position         = projection * view * worldPosition;\\n  fragColor           = color;\\n  fragPosition        = position;\\n}\",\"precision mediump float;\\n#define GLSLIFY 1\\nuniform vec3 clipBounds[2];\\nuniform float opacity;\\nvarying vec3 fragPosition;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if(any(lessThan(fragPosition, clipBounds[0])) || any(greaterThan(fragPosition, clipBounds[1]))) {\\n    discard;\\n  }\\n  gl_FragColor = opacity * fragColor;\\n}\",null,[{name:\"position\",type:\"vec3\"},{name:\"offset\",type:\"vec3\"},{name:\"color\",type:\"vec4\"}])}},{\"gl-shader\":239}],148:[function(t,e,r){\"use strict\";function n(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function i(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function a(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);y=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(var a=n;a<r;++a)i[a]=t.NONE;y[n]=i}}function o(t){switch(t){case p:throw new Error(\"gl-fbo: Framebuffer unsupported\");case m:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case g:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case v:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function s(t,e,r,n,i,a){if(!n)return null;var o=d(t,e,r,i,n);return o.magFilter=t.NEAREST,o.minFilter=t.NEAREST,o.mipSamples=1,o.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,a,t.TEXTURE_2D,o.handle,0),o}function l(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function u(t){var e=n(t.gl),r=t.gl,a=t.handle=r.createFramebuffer(),u=t._shape[0],c=t._shape[1],h=t.color.length,f=t._ext,d=t._useStencil,p=t._useDepth,m=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,a);for(var g=0;g<h;++g)t.color[g]=s(r,u,c,m,r.RGBA,r.COLOR_ATTACHMENT0+g);0===h?(t._color_rb=l(r,u,c,r.RGBA4,r.COLOR_ATTACHMENT0),f&&f.drawBuffersWEBGL(y[0])):h>1&&f.drawBuffersWEBGL(y[h]);var v=r.getExtension(\"WEBGL_depth_texture\");v?d?t.depth=s(r,u,c,v.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):p&&(t.depth=s(r,u,c,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):p&&d?t._depth_rb=l(r,u,c,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):p?t._depth_rb=l(r,u,c,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=l(r,u,c,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var b=r.checkFramebufferStatus(r.FRAMEBUFFER);if(b!==r.FRAMEBUFFER_COMPLETE){t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null);for(var g=0;g<t.color.length;++g)t.color[g].dispose(),t.color[g]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),i(r,e),o(b)}i(r,e)}function c(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var l=0;l<i;++l)this.color[l]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var c=this,h=[0|e,0|r];Object.defineProperties(h,{0:{get:function(){return c._shape[0]},set:function(t){return c.width=t}},1:{get:function(){return c._shape[1]},set:function(t){return c.height=t}}}),this._shapeVector=h,u(this)}function h(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var a=t.gl,s=a.getParameter(a.MAX_RENDERBUFFER_SIZE);if(e<0||e>s||r<0||r>s)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var l=n(a),u=0;u<t.color.length;++u)t.color[u].shape=t._shape;t._color_rb&&(a.bindRenderbuffer(a.RENDERBUFFER,t._color_rb),a.renderbufferStorage(a.RENDERBUFFER,a.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(a.bindRenderbuffer(a.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?a.renderbufferStorage(a.RENDERBUFFER,a.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?a.renderbufferStorage(a.RENDERBUFFER,a.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&a.renderbufferStorage(a.RENDERBUFFER,a.STENCIL_INDEX,t._shape[0],t._shape[1])),a.bindFramebuffer(a.FRAMEBUFFER,t.handle);var c=a.checkFramebufferStatus(a.FRAMEBUFFER);c!==a.FRAMEBUFFER_COMPLETE&&(t.dispose(),i(a,l),o(c)),i(a,l)}}function f(t,e,r,n){p||(p=t.FRAMEBUFFER_UNSUPPORTED,m=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,g=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,v=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var i=t.getExtension(\"WEBGL_draw_buffers\");if(!y&&i&&a(t,i),Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]),\"number\"!=typeof e)throw new Error(\"gl-fbo: Missing shape parameter\");var o=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>o||r<0||r>o)throw new Error(\"gl-fbo: Parameters are too large for FBO\");n=n||{};var s=1;if(\"color\"in n){if((s=Math.max(0|n.color,0))<0)throw new Error(\"gl-fbo: Must specify a nonnegative number of colors\");if(s>1){if(!i)throw new Error(\"gl-fbo: Multiple draw buffer extension not supported\");if(s>t.getParameter(i.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error(\"gl-fbo: Context does not support \"+s+\" draw buffers\")}}var l=t.UNSIGNED_BYTE,u=t.getExtension(\"OES_texture_float\");if(n.float&&s>0){if(!u)throw new Error(\"gl-fbo: Context does not support floating point textures\");l=t.FLOAT}else n.preferFloat&&s>0&&u&&(l=t.FLOAT);var h=!0;\"depth\"in n&&(h=!!n.depth);var f=!1;return\"stencil\"in n&&(f=!!n.stencil),new c(t,e,r,l,s,h,f,i)}var d=t(\"gl-texture2d\");e.exports=f;var p,m,g,v,y=null,b=c.prototype;Object.defineProperties(b,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return h(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return t|=0,h(this,t,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,h(this,this._shape[0],t),t},enumerable:!1}}),b.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},b.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{\"gl-texture2d\":251}],149:[function(t,e,r){function n(t,e,r){\"use strict\";var n=o(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===a.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var u=i(\"Error compiling %s shader %s:\\n\",l,n),c=i(\"%s%s\",u,t),h=t.split(\"\\n\"),f={},d=0;d<h.length;d++){var p=h[d];if(\"\"!==p){var m=parseInt(p.split(\":\")[2]);if(isNaN(m))throw new Error(i(\"Could not parse error: %s\",p));f[m]=p}}for(var g=s(e).split(\"\\n\"),d=0;d<g.length;d++)if(f[d+3]||f[d+2]||f[d+1]){var v=g[d];if(u+=v+\"\\n\",f[d+1]){var y=f[d+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),u+=i(\"^^^ %s\\n\\n\",y)}}return{long:u.trim(),short:c.trim()}}var i=t(\"sprintf-js\").sprintf,a=t(\"gl-constants/lookup\"),o=t(\"glsl-shader-name\"),s=t(\"add-line-numbers\");e.exports=n},{\"add-line-numbers\":35,\"gl-constants/lookup\":143,\"glsl-shader-name\":263,\"sprintf-js\":508}],150:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}function i(t,e){var r=t.gl,i=l(r,c.vertex,c.fragment),a=l(r,c.pickVertex,c.pickFragment),o=u(r),s=u(r),h=u(r),f=u(r),d=new n(t,i,a,o,s,h,f);return d.update(e),t.addObject(d),d}e.exports=i;var a=t(\"binary-search-bounds\"),o=t(\"iota-array\"),s=t(\"typedarray-pool\"),l=t(\"gl-shader\"),u=t(\"gl-buffer\"),c=t(\"./lib/shaders\"),h=n.prototype,f=[0,0,1,0,0,1,1,0,1,1,0,1];h.draw=function(){var t=[1,0,0,0,1,0,0,0,1];return function(){var e=this.plot,r=this.shader,n=this.bounds,i=this.numVertices;if(!(i<=0)){var a=e.gl,o=e.dataBox,s=n[2]-n[0],l=n[3]-n[1],u=o[2]-o[0],c=o[3]-o[1];t[0]=2*s/u,t[4]=2*l/c,t[6]=2*(n[0]-o[0])/u-1,t[7]=2*(n[1]-o[1])/c-1,r.bind();var h=r.uniforms;h.viewTransform=t,h.shape=this.shape;var f=r.attributes;this.positionBuffer.bind(),f.position.pointer(),this.weightBuffer.bind(),f.weight.pointer(a.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),f.color.pointer(a.UNSIGNED_BYTE,!0),a.drawArrays(a.TRIANGLES,0,i)}}}(),h.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,u=a[2]-a[0],c=a[3]-a[1],h=l[2]-l[0],f=l[3]-l[1];t[0]=2*u/h,t[4]=2*c/f,t[6]=2*(a[0]-l[0])/h-1,t[7]=2*(a[1]-l[1])/f-1;for(var d=0;d<4;++d)e[d]=r>>8*d&255;this.pickOffset=r,i.bind();var p=i.uniforms;p.viewTransform=t,p.pickOffset=e,p.shape=this.shape;var m=i.attributes;return this.positionBuffer.bind(),m.position.pointer(),this.weightBuffer.bind(),m.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),m.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),h.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},h.update=function(t){t=t||{};var e=t.shape||[0,0],r=t.x||o(e[0]),n=t.y||o(e[1]),i=t.z||new Float32Array(e[0]*e[1]);this.xData=r,this.yData=n;var l=t.colorLevels||[0],u=t.colorValues||[0,0,0,1],c=l.length,h=this.bounds,d=h[0]=r[0],p=h[1]=n[0],m=h[2]=r[r.length-1],g=h[3]=n[n.length-1],v=1/(m-d),y=1/(g-p),b=e[0],x=e[1];this.shape=[b,x];var _=(b-1)*(x-1)*(f.length>>>1);this.numVertices=_;for(var w=s.mallocUint8(4*_),M=s.mallocFloat32(2*_),k=s.mallocUint8(2*_),A=s.mallocUint32(_),T=0,S=0;S<x-1;++S)for(var E=y*(n[S]-p),L=y*(n[S+1]-p),C=0;C<b-1;++C)for(var z=v*(r[C]-d),D=v*(r[C+1]-d),I=0;I<f.length;I+=2){var P,O,j,R,F=f[I],N=f[I+1],B=(S+N)*b+(C+F),U=i[B],V=a.le(l,U);if(V<0)P=u[0],O=u[1],j=u[2],R=u[3];else if(V===c-1)P=u[4*c-4],O=u[4*c-3],j=u[4*c-2],R=u[4*c-1];else{var H=(U-l[V])/(l[V+1]-l[V]),q=1-H,G=4*V,Y=4*(V+1);P=q*u[G]+H*u[Y],O=q*u[G+1]+H*u[Y+1],j=q*u[G+2]+H*u[Y+2],R=q*u[G+3]+H*u[Y+3]}w[4*T]=255*P,w[4*T+1]=255*O,w[4*T+2]=255*j,w[4*T+3]=255*R,\n",
       "M[2*T]=.5*z+.5*D,M[2*T+1]=.5*E+.5*L,k[2*T]=F,k[2*T+1]=N,A[T]=S*b+C,T+=1}this.positionBuffer.update(M),this.weightBuffer.update(k),this.colorBuffer.update(w),this.idBuffer.update(A),s.free(M),s.free(w),s.free(k),s.free(A)},h.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":151,\"binary-search-bounds\":152,\"gl-buffer\":141,\"gl-shader\":239,\"iota-array\":276,\"typedarray-pool\":521}],151:[function(t,e,r){\"use strict\";e.exports={fragment:\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\",vertex:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\",pickFragment:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\",pickVertex:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"}},{}],152:[function(t,e,r){arguments[4][77][0].apply(r,arguments)},{dup:77}],153:[function(t,e,r){r.lineVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aHi, aLo, dHi, dLo;\\n\\nuniform vec2 scaleHi, translateHi, scaleLo, translateLo, screenShape;\\nuniform float width;\\n\\nvarying vec2 direction;\\n\\n\\nvec2 project_1_0(vec2 scHi, vec2 trHi, vec2 scLo, vec2 trLo, vec2 posHi, vec2 posLo) {\\n  return (posHi + trHi) * scHi\\n       + (posLo + trLo) * scHi\\n       + (posHi + trHi) * scLo\\n       + (posLo + trLo) * scLo;\\n}\\n\\n\\nvec2 project_2_1(vec2 scHi, vec2 scLo, vec2 posHi, vec2 posLo) {\\n  return scHi * posHi\\n       + scLo * posHi\\n       + scHi * posLo\\n       + scLo * posLo;\\n}\\n\\nvoid main() {\\n  vec2 p = project_1_0(scaleHi, translateHi, scaleLo, translateLo, aHi, aLo);\\n  vec2 dir = project_2_1(scaleHi, scaleLo, dHi, dLo);\\n  vec2 n = 0.5 * width * normalize(screenShape.yx * vec2(dir.y, -dir.x)) / screenShape.xy;\\n  vec2 tangent = normalize(screenShape.xy * dir);\\n  if(dir.x < 0.0 || (dir.x == 0.0 && dir.y < 0.0)) {\\n    direction = -tangent;\\n  } else {\\n    direction = tangent;\\n  }\\n  gl_Position = vec4(p + n, 0.0, 1.0);\\n}\",r.lineFragment=\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nuniform vec2 screenShape;\\nuniform sampler2D dashPattern;\\nuniform float dashLength;\\n\\nvarying vec2 direction;\\n\\nvoid main() {\\n  float t = fract(dot(direction, gl_FragCoord.xy) / dashLength);\\n  vec4 pcolor = color * texture2D(dashPattern, vec2(t, 0.0)).r;\\n  gl_FragColor = vec4(pcolor.rgb * pcolor.a, pcolor.a);\\n}\",r.mitreVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aHi, aLo;\\n\\nuniform vec2 scaleHi, translateHi, scaleLo, translateLo;\\nuniform float radius;\\n\\n\\nvec2 project_1_0(vec2 scHi, vec2 trHi, vec2 scLo, vec2 trLo, vec2 posHi, vec2 posLo) {\\n  return (posHi + trHi) * scHi\\n       + (posLo + trLo) * scHi\\n       + (posHi + trHi) * scLo\\n       + (posLo + trLo) * scLo;\\n}\\n\\n\\nvoid main() {\\n  vec2 p = project_1_0(scaleHi, translateHi, scaleLo, translateLo, aHi, aLo);\\n  gl_Position = vec4(p, 0.0, 1.0);\\n  gl_PointSize = radius;\\n}\",r.mitreFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  if(length(gl_PointCoord.xy - 0.5) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = vec4(color.rgb, color.a);\\n}\",r.pickVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aHi, aLo, dHi;\\nattribute vec4 pick0, pick1;\\n\\nuniform vec2 scaleHi, translateHi, scaleLo, translateLo, screenShape;\\nuniform float width;\\n\\nvarying vec4 pickA, pickB;\\n\\n\\nvec2 project_1_0(vec2 scHi, vec2 trHi, vec2 scLo, vec2 trLo, vec2 posHi, vec2 posLo) {\\n  return (posHi + trHi) * scHi\\n       + (posLo + trLo) * scHi\\n       + (posHi + trHi) * scLo\\n       + (posLo + trLo) * scLo;\\n}\\n\\n\\nvoid main() {\\n  vec2 p = project_1_0(scaleHi, translateHi, scaleLo, translateLo, aHi, aLo);\\n  vec2 n = width * normalize(screenShape.yx * vec2(dHi.y, -dHi.x)) / screenShape.xy;\\n  gl_Position = vec4(p + n, 0, 1);\\n  pickA = pick0;\\n  pickB = pick1;\\n}\",r.pickFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 pickOffset;\\n\\nvarying vec4 pickA, pickB;\\n\\nvoid main() {\\n  vec4 fragId = vec4(pickA.xyz, 0.0);\\n  if(pickB.w > pickA.w) {\\n    fragId.xyz = pickB.xyz;\\n  }\\n\\n  fragId += pickOffset;\\n\\n  fragId.y += floor(fragId.x / 256.0);\\n  fragId.x -= floor(fragId.x / 256.0) * 256.0;\\n\\n  fragId.z += floor(fragId.y / 256.0);\\n  fragId.y -= floor(fragId.y / 256.0) * 256.0;\\n\\n  fragId.w += floor(fragId.z / 256.0);\\n  fragId.z -= floor(fragId.z / 256.0) * 256.0;\\n\\n  gl_FragColor = fragId / 255.0;\\n}\",r.fillVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aHi, aLo, dHi;\\n\\nuniform vec2 scaleHi, translateHi, scaleLo, translateLo, projectAxis;\\nuniform float projectValue, depth;\\n\\n\\nvec2 project_1_0(vec2 scHi, vec2 trHi, vec2 scLo, vec2 trLo, vec2 posHi, vec2 posLo) {\\n  return (posHi + trHi) * scHi\\n       + (posLo + trLo) * scHi\\n       + (posHi + trHi) * scLo\\n       + (posLo + trLo) * scLo;\\n}\\n\\n\\nvoid main() {\\n  vec2 p = project_1_0(scaleHi, translateHi, scaleLo, translateLo, aHi, aLo);\\n  if(dHi.y < 0.0 || (dHi.y == 0.0 && dHi.x < 0.0)) {\\n    if(dot(p, projectAxis) < projectValue) {\\n      p = p * (1.0 - abs(projectAxis)) + projectAxis * projectValue;\\n    }\\n  }\\n  gl_Position = vec4(p, depth, 1);\\n}\",r.fillFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = vec4(color.rgb * color.a, color.a);\\n}\"},{}],154:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s,l){this.plot=t,this.dashPattern=e,this.lineBufferHi=r,this.lineBufferLo=n,this.pickBuffer=i,this.lineShader=a,this.mitreShader=o,this.fillShader=s,this.pickShader=l,this.usingDashes=!1,this.bounds=[1/0,1/0,-1/0,-1/0],this.width=1,this.color=[0,0,1,1],this.fill=[!1,!1,!1,!1],this.fillColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.data=null,this.numPoints=0,this.vertCount=0,this.pickOffset=0}function i(t){return t.map(function(t){return t.slice()})}function a(t,e){var r=t.gl,i=s(r),a=s(r),u=s(r),c=l(r,[1,1]),f=o(r,h.lineVertex,h.lineFragment),d=o(r,h.mitreVertex,h.mitreFragment),p=o(r,h.fillVertex,h.fillFragment),m=o(r,h.pickVertex,h.pickFragment),g=new n(t,c,i,a,u,f,d,p,m);return t.addObject(g),g.update(e),g}e.exports=a;var o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"gl-texture2d\"),u=t(\"ndarray\"),c=t(\"typedarray-pool\"),h=t(\"./lib/shaders\"),f=n.prototype;f.setProjectionModel=function(){var t={scaleHi:new Float32Array([0,0]),scaleLo:new Float32Array([0,0]),translateHi:new Float32Array([0,0]),translateLo:new Float32Array([0,0]),screenShape:[0,0]};return function(){var e=this.bounds,r=this.plot.viewBox,n=this.plot.dataBox,i=e[2]-e[0],a=e[3]-e[1],o=n[2]-n[0],s=n[3]-n[1],l=r[2]-r[0],u=r[3]-r[1],c=2*i/o,h=2*a/s,f=(e[0]-n[0]-.5*o)/i,d=(e[1]-n[1]-.5*s)/a;return t.scaleHi[0]=c,t.scaleHi[1]=h,t.scaleLo[0]=c-t.scaleHi[0],t.scaleLo[1]=h-t.scaleHi[1],t.translateHi[0]=f,t.translateHi[1]=d,t.translateLo[0]=f-t.translateHi[0],t.translateLo[1]=d-t.translateHi[1],t.screenShape[0]=l,t.screenShape[1]=u,t}}(),f.setProjectionUniforms=function(t,e){t.scaleHi=e.scaleHi,t.scaleLo=e.scaleLo,t.translateHi=e.translateHi,t.translateLo=e.translateLo,t.screenShape=e.screenShape},f.draw=function(){var t=[1,0],e=[-1,0],r=[0,1],n=[0,-1];return function(){var i=this.vertCount;if(i){var a=this.setProjectionModel(),o=this.plot,s=this.width,l=o.gl,u=o.pixelRatio,c=this.color,h=this.fillShader.attributes;this.lineBufferLo.bind(),h.aLo.pointer(l.FLOAT,!1,16,0),this.lineBufferHi.bind();var f=this.fill;if(f[0]||f[1]||f[2]||f[3]){var d=this.fillShader;d.bind();var p=d.uniforms;this.setProjectionUniforms(p,a),p.depth=o.nextDepthValue(),h.aHi.pointer(l.FLOAT,!1,16,0),h.dHi.pointer(l.FLOAT,!1,16,8),l.depthMask(!0),l.enable(l.DEPTH_TEST);var m=this.fillColor;f[0]&&(p.color=m[0],p.projectAxis=e,p.projectValue=1,l.drawArrays(l.TRIANGLES,0,i)),f[1]&&(p.color=m[1],p.projectAxis=n,p.projectValue=1,l.drawArrays(l.TRIANGLES,0,i)),f[2]&&(p.color=m[2],p.projectAxis=t,p.projectValue=1,l.drawArrays(l.TRIANGLES,0,i)),f[3]&&(p.color=m[3],p.projectAxis=r,p.projectValue=1,l.drawArrays(l.TRIANGLES,0,i)),l.depthMask(!1),l.disable(l.DEPTH_TEST)}var g=this.lineShader;g.bind(),this.lineBufferLo.bind(),g.attributes.aLo.pointer(l.FLOAT,!1,16,0),g.attributes.dLo.pointer(l.FLOAT,!1,16,8),this.lineBufferHi.bind();var v=g.uniforms;this.setProjectionUniforms(v,a),v.color=c,v.width=s*u,v.dashPattern=this.dashPattern.bind(),v.dashLength=this.dashLength*u;var y=g.attributes;if(y.aHi.pointer(l.FLOAT,!1,16,0),y.dHi.pointer(l.FLOAT,!1,16,8),l.drawArrays(l.TRIANGLES,0,i),s>2&&!this.usingDashes){var b=this.mitreShader;this.lineBufferLo.bind(),b.attributes.aLo.pointer(l.FLOAT,!1,48,0),this.lineBufferHi.bind(),b.bind();var x=b.uniforms;this.setProjectionUniforms(x,a),x.color=c,x.radius=s*u,b.attributes.aHi.pointer(l.FLOAT,!1,48,0),l.drawArrays(l.POINTS,0,i/3|0)}}}}(),f.drawPick=function(){var t=[0,0,0,0];return function(e){var r=this.vertCount,n=this.numPoints;if(this.pickOffset=e,!r)return e+n;var i=this.setProjectionModel(),a=this.plot,o=this.width,s=a.gl,l=a.pickPixelRatio,u=this.pickShader,c=this.pickBuffer;t[0]=255&e,t[1]=e>>>8&255,t[2]=e>>>16&255,t[3]=e>>>24,u.bind();var h=u.uniforms;this.setProjectionUniforms(h,i),h.width=o*l,h.pickOffset=t;var f=u.attributes;return this.lineBufferHi.bind(),f.aHi.pointer(s.FLOAT,!1,16,0),f.dHi.pointer(s.FLOAT,!1,16,8),this.lineBufferLo.bind(),f.aLo.pointer(s.FLOAT,!1,16,0),c.bind(),f.pick0.pointer(s.UNSIGNED_BYTE,!1,8,0),f.pick1.pointer(s.UNSIGNED_BYTE,!1,8,4),s.drawArrays(s.TRIANGLES,0,r),e+n}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.numPoints;if(r<n||r>=n+i)return null;var a=r-n,o=this.data;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}},f.update=function(t){t=t||{};var e,r,n,a,o,s=this.plot.gl;this.color=(t.color||[0,0,1,1]).slice(),this.width=+(t.width||1),this.fill=(t.fill||[!1,!1,!1,!1]).slice(),this.fillColor=i(t.fillColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var h=t.dashes||[1],f=0;for(e=0;e<h.length;++e)f+=h[e];var d=c.mallocUint8(f);n=0;var p=255;for(e=0;e<h.length;++e){for(r=0;r<h[e];++r)d[n++]=p;p^=255}this.dashPattern.dispose(),this.usingDashes=h.length>1,this.dashPattern=l(s,u(d,[f,1,4],[1,0,0])),this.dashPattern.minFilter=s.NEAREST,this.dashPattern.magFilter=s.NEAREST,this.dashLength=f,c.free(d);var m=t.positions;this.data=m;var g=this.bounds;g[0]=g[1]=1/0,g[2]=g[3]=-1/0;var v=this.numPoints=m.length>>>1;if(0!==v){for(e=0;e<v;++e)a=m[2*e],o=m[2*e+1],isNaN(a)||isNaN(o)||(g[0]=Math.min(g[0],a),g[1]=Math.min(g[1],o),g[2]=Math.max(g[2],a),g[3]=Math.max(g[3],o));g[0]===g[2]&&(g[2]+=1),g[3]===g[1]&&(g[3]+=1);var y=c.mallocFloat64(24*(v-1)),b=c.mallocFloat32(24*(v-1)),x=c.mallocFloat32(24*(v-1)),_=c.mallocUint32(12*(v-1)),w=b.length,M=_.length;n=v;for(var k=0;n>1;){var A=--n;a=m[2*n],o=m[2*n+1];var T=A-1,S=m[2*T],E=m[2*T+1];if(!(isNaN(a)||isNaN(o)||isNaN(S)||isNaN(E))){k+=1,a=(a-g[0])/(g[2]-g[0]),o=(o-g[1])/(g[3]-g[1]),S=(S-g[0])/(g[2]-g[0]),E=(E-g[1])/(g[3]-g[1]);var L=S-a,C=E-o,z=A|1<<24,D=A-1,I=A,P=A-1|1<<24;y[--w]=-C,y[--w]=-L,y[--w]=o,y[--w]=a,_[--M]=z,_[--M]=D,y[--w]=C,y[--w]=L,y[--w]=E,y[--w]=S,_[--M]=I,_[--M]=P,y[--w]=-C,y[--w]=-L,y[--w]=E,y[--w]=S,_[--M]=I,_[--M]=P,y[--w]=C,y[--w]=L,y[--w]=E,y[--w]=S,_[--M]=I,_[--M]=P,y[--w]=-C,y[--w]=-L,y[--w]=o,y[--w]=a,_[--M]=z,_[--M]=D,y[--w]=C,y[--w]=L,y[--w]=o,y[--w]=a,_[--M]=z,_[--M]=D}}for(e=0;e<y.length;e++)b[e]=y[e],x[e]=y[e]-b[e];this.vertCount=6*k,this.lineBufferHi.update(b.subarray(w)),this.lineBufferLo.update(x.subarray(w)),this.pickBuffer.update(_.subarray(M)),c.free(y),c.free(b),c.free(x),c.free(_)}},f.dispose=function(){this.plot.removeObject(this),this.lineBufferLo.dispose(),this.lineBufferHi.dispose(),this.pickBuffer.dispose(),this.lineShader.dispose(),this.mitreShader.dispose(),this.fillShader.dispose(),this.pickShader.dispose(),this.dashPattern.dispose()}},{\"./lib/shaders\":153,\"gl-buffer\":141,\"gl-shader\":239,\"gl-texture2d\":251,ndarray:449,\"typedarray-pool\":521}],155:[function(t,e,r){var n=t(\"gl-shader\"),i=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvoid main() {\\n  vec4 projected = projection * view * model * vec4(position, 1.0);\\n  vec4 tangentClip = projection * view * model * vec4(nextPosition - position, 0.0);\\n  vec2 tangent = normalize(screenShape * tangentClip.xy);\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(tangent.y, -tangent.x) / screenShape;\\n\\n  gl_Position = vec4(projected.xy + projected.w * offset, projected.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\",a=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];r.createShader=function(t){return n(t,i,\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if(any(lessThan(worldPosition, clipBounds[0])) || any(greaterThan(worldPosition, clipBounds[1]))) {\\n    discard;\\n  }\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\",null,a)},r.createPickShader=function(t){return n(t,i,\"precision mediump float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\nlowp vec4 encode_float_1_0(highp float v) {\\n  highp float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  highp vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  highp float e = floor(log2(av));\\n  highp float m = av * pow(2.0, -e) - 1.0;\\n  \\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n  \\n  //Unpack exponent\\n  highp float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0; \\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\n\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if(any(lessThan(worldPosition, clipBounds[0])) || any(greaterThan(worldPosition, clipBounds[1]))) {\\n    discard;\\n  }\\n  gl_FragColor = vec4(pickId/255.0, encode_float_1_0(pixelArcLength).xyz);\\n}\",null,a)}},{\"gl-shader\":239}],156:[function(t,e,r){\"use strict\";function n(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function i(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function a(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function o(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.dirty=!0,this.pixelRatio=1}function s(t){var e=t.gl||t.scene&&t.scene.gl,r=m(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var n=g(e);n.attributes.position.location=0,n.attributes.nextPosition.location=1,n.attributes.arcLength.location=2,n.attributes.lineWidth.location=3,n.attributes.color.location=4;for(var i=l(e),a=u(e,[{buffer:i,size:3,offset:0,stride:48},{buffer:i,size:3,offset:12,stride:48},{buffer:i,size:1,offset:24,stride:48},{buffer:i,size:1,offset:28,stride:48},{buffer:i,size:4,offset:32,stride:48}]),s=d(new Array(1024),[256,1,4]),h=0;h<1024;++h)s.data[h]=255;var f=c(e,s);f.wrap=e.REPEAT;var p=new o(e,r,n,i,a,f);return p.update(t),p}e.exports=s;var l=t(\"gl-buffer\"),u=t(\"gl-vao\"),c=t(\"gl-texture2d\"),h=t(\"glsl-read-float\"),f=t(\"binary-search-bounds\"),d=t(\"ndarray\"),p=t(\"./lib/shaders\"),m=p.createShader,g=p.createPickShader,v=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],y=o.prototype;y.isTransparent=function(){return this.opacity<1},y.isOpaque=function(){return this.opacity>=1},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.draw=function(t){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||v,view:t.view||v,projection:t.projection||v,clipBounds:i(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount)},y.drawPick=function(t){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||v,view:t.view||v,projection:t.projection||v,pickId:this.pickId,clipBounds:i(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount)},y.update=function(t){var e,r;this.dirty=!0;var i=!!t.connectGaps;\"dashScale\"in t&&(this.dashScale=t.dashScale),\"opacity\"in t&&(this.opacity=+t.opacity);var a=t.position||t.positions;if(a){var o=t.color||t.colors||[0,0,0,1],s=t.lineWidth||1,l=[],u=[],c=[],h=0,p=0,m=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],g=!1;t:for(e=1;e<a.length;++e){var v=a[e-1],y=a[e];for(u.push(h),c.push(v.slice()),r=0;r<3;++r){if(isNaN(v[r])||isNaN(y[r])||!isFinite(v[r])||!isFinite(y[r])){if(!i&&l.length>0){for(var b=0;b<24;++b)l.push(l[l.length-12]);p+=2,g=!0}continue t}m[0][r]=Math.min(m[0][r],v[r],y[r]),m[1][r]=Math.max(m[1][r],v[r],y[r])}var 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r=e[0],n=e[1],i=e[2],a=e[3],o=r*a-i*n;return o?(o=1/o,t[0]=a*o,t[1]=-n*o,t[2]=-i*o,t[3]=r*o,t):null}e.exports=n},{}],158:[function(t,e,r){function n(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],u=e[7],c=e[8],h=c*o-s*u,f=-c*a+s*l,d=u*a-o*l,p=r*h+n*f+i*d;return p?(p=1/p,t[0]=h*p,t[1]=(-c*n+i*u)*p,t[2]=(s*n-i*o)*p,t[3]=f*p,t[4]=(c*r-i*l)*p,t[5]=(-s*r+i*a)*p,t[6]=d*p,t[7]=(-u*r+n*l)*p,t[8]=(o*r-n*a)*p,t):null}e.exports=n},{}],159:[function(t,e,r){function n(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}e.exports=n},{}],160:[function(t,e,r){function n(){var t=new Float32Array(16);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}e.exports=n},{}],161:[function(t,e,r){function n(t){var e=t[0],r=t[1],n=t[2],i=t[3],a=t[4],o=t[5],s=t[6],l=t[7],u=t[8],c=t[9],h=t[10],f=t[11],d=t[12],p=t[13],m=t[14],g=t[15];return(e*o-r*a)*(h*g-f*m)-(e*s-n*a)*(c*g-f*p)+(e*l-i*a)*(c*m-h*p)+(r*s-n*o)*(u*g-f*d)-(r*l-i*o)*(u*m-h*d)+(n*l-i*s)*(u*p-c*d)}e.exports=n},{}],162:[function(t,e,r){function n(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,u=r*o,c=n*o,h=n*s,f=i*o,d=i*s,p=i*l,m=a*o,g=a*s,v=a*l;return t[0]=1-h-p,t[1]=c+v,t[2]=f-g,t[3]=0,t[4]=c-v,t[5]=1-u-p,t[6]=d+m,t[7]=0,t[8]=f+g,t[9]=d-m,t[10]=1-u-h,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}e.exports=n},{}],163:[function(t,e,r){function n(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,u=a+a,c=n*s,h=n*l,f=n*u,d=i*l,p=i*u,m=a*u,g=o*s,v=o*l,y=o*u;return t[0]=1-(d+m),t[1]=h+y,t[2]=f-v,t[3]=0,t[4]=h-y,t[5]=1-(c+m),t[6]=p+g,t[7]=0,t[8]=f+v,t[9]=p-g,t[10]=1-(c+d),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}e.exports=n},{}],164:[function(t,e,r){function n(t){return 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Math.abs(m-_)<1e-6&&Math.abs(g-w)<1e-6&&Math.abs(v-M)<1e-6?i(t):(h=m-_,f=g-w,d=v-M,p=1/Math.sqrt(h*h+f*f+d*d),h*=p,f*=p,d*=p,a=b*d-x*f,o=x*h-y*d,s=y*f-b*h,p=Math.sqrt(a*a+o*o+s*s),p?(p=1/p,a*=p,o*=p,s*=p):(a=0,o=0,s=0),l=f*s-d*o,u=d*a-h*s,c=h*o-f*a,p=Math.sqrt(l*l+u*u+c*c),p?(p=1/p,l*=p,u*=p,c*=p):(l=0,u=0,c=0),t[0]=a,t[1]=l,t[2]=h,t[3]=0,t[4]=o,t[5]=u,t[6]=f,t[7]=0,t[8]=s,t[9]=c,t[10]=d,t[11]=0,t[12]=-(a*m+o*g+s*v),t[13]=-(l*m+u*g+c*v),t[14]=-(h*m+f*g+d*v),t[15]=1,t)}var i=t(\"./identity\");e.exports=n},{\"./identity\":164}],167:[function(t,e,r){function n(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],h=e[8],f=e[9],d=e[10],p=e[11],m=e[12],g=e[13],v=e[14],y=e[15],b=r[0],x=r[1],_=r[2],w=r[3];return t[0]=b*n+x*s+_*h+w*m,t[1]=b*i+x*l+_*f+w*g,t[2]=b*a+x*u+_*d+w*v,t[3]=b*o+x*c+_*p+w*y,b=r[4],x=r[5],_=r[6],w=r[7],t[4]=b*n+x*s+_*h+w*m,t[5]=b*i+x*l+_*f+w*g,t[6]=b*a+x*u+_*d+w*v,t[7]=b*o+x*c+_*p+w*y,b=r[8],x=r[9],_=r[10],w=r[11],t[8]=b*n+x*s+_*h+w*m,t[9]=b*i+x*l+_*f+w*g,t[10]=b*a+x*u+_*d+w*v,t[11]=b*o+x*c+_*p+w*y,b=r[12],x=r[13],_=r[14],w=r[15],t[12]=b*n+x*s+_*h+w*m,t[13]=b*i+x*l+_*f+w*g,t[14]=b*a+x*u+_*d+w*v,t[15]=b*o+x*c+_*p+w*y,t}e.exports=n},{}],168:[function(t,e,r){function n(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}e.exports=n},{}],169:[function(t,e,r){function n(t,e,r,n){var i,a,o,s,l,u,c,h,f,d,p,m,g,v,y,b,x,_,w,M,k,A,T,S,E=n[0],L=n[1],C=n[2],z=Math.sqrt(E*E+L*L+C*C);return Math.abs(z)<1e-6?null:(z=1/z,E*=z,L*=z,C*=z,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],u=e[2],c=e[3],h=e[4],f=e[5],d=e[6],p=e[7],m=e[8],g=e[9],v=e[10],y=e[11],b=E*E*o+a,x=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,M=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,T=L*C*o-E*i,S=C*C*o+a,t[0]=s*b+h*x+m*_,t[1]=l*b+f*x+g*_,t[2]=u*b+d*x+v*_,t[3]=c*b+p*x+y*_,t[4]=s*w+h*M+m*k,t[5]=l*w+f*M+g*k,t[6]=u*w+d*M+v*k,t[7]=c*w+p*M+y*k,t[8]=s*A+h*T+m*S,t[9]=l*A+f*T+g*S,t[10]=u*A+d*T+v*S,t[11]=c*A+p*T+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t)}e.exports=n},{}],170:[function(t,e,r){function n(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],u=e[8],c=e[9],h=e[10],f=e[11];return e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[4]=a*i+u*n,t[5]=o*i+c*n,t[6]=s*i+h*n,t[7]=l*i+f*n,t[8]=u*i-a*n,t[9]=c*i-o*n,t[10]=h*i-s*n,t[11]=f*i-l*n,t}e.exports=n},{}],171:[function(t,e,r){function n(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[8],c=e[9],h=e[10],f=e[11];return e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i-u*n,t[1]=o*i-c*n,t[2]=s*i-h*n,t[3]=l*i-f*n,t[8]=a*n+u*i,t[9]=o*n+c*i,t[10]=s*n+h*i,t[11]=l*n+f*i,t}e.exports=n},{}],172:[function(t,e,r){function n(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[4],c=e[5],h=e[6],f=e[7];return e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i+u*n,t[1]=o*i+c*n,t[2]=s*i+h*n,t[3]=l*i+f*n,t[4]=u*i-a*n,t[5]=c*i-o*n,t[6]=h*i-s*n,t[7]=f*i-l*n,t}e.exports=n},{}],173:[function(t,e,r){function n(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}e.exports=n},{}],174:[function(t,e,r){function n(t,e,r){var n,i,a,o,s,l,u,c,h,f,d,p,m=r[0],g=r[1],v=r[2];return e===t?(t[12]=e[0]*m+e[4]*g+e[8]*v+e[12],t[13]=e[1]*m+e[5]*g+e[9]*v+e[13],t[14]=e[2]*m+e[6]*g+e[10]*v+e[14],t[15]=e[3]*m+e[7]*g+e[11]*v+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],h=e[8],f=e[9],d=e[10],p=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=u,t[7]=c,t[8]=h,t[9]=f,t[10]=d,t[11]=p,t[12]=n*m+s*g+h*v+e[12],t[13]=i*m+l*g+f*v+e[13],t[14]=a*m+u*g+d*v+e[14],t[15]=o*m+c*g+p*v+e[15]),t}e.exports=n},{}],175:[function(t,e,r){function n(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}e.exports=n},{}],176:[function(t,e,r){\"use strict\";function n(t,e){switch(e.length){case 0:break;case 1:t[0]=1/e[0];break;case 4:i(t,e);break;case 9:a(t,e);break;case 16:o(t,e);break;default:throw new Error(\"currently supports matrices up to 4x4\")}return t}e.exports=n;var i=t(\"gl-mat2/invert\"),a=t(\"gl-mat3/invert\"),o=t(\"gl-mat4/invert\")},{\"gl-mat2/invert\":157,\"gl-mat3/invert\":158,\"gl-mat4/invert\":165}],177:[function(t,e,r){r.glMatrix=t(\"./gl-matrix/common.js\"),r.mat2=t(\"./gl-matrix/mat2.js\"),r.mat2d=t(\"./gl-matrix/mat2d.js\"),r.mat3=t(\"./gl-matrix/mat3.js\"),r.mat4=t(\"./gl-matrix/mat4.js\"),r.quat=t(\"./gl-matrix/quat.js\"),r.vec2=t(\"./gl-matrix/vec2.js\"),r.vec3=t(\"./gl-matrix/vec3.js\"),r.vec4=t(\"./gl-matrix/vec4.js\")},{\"./gl-matrix/common.js\":178,\"./gl-matrix/mat2.js\":179,\"./gl-matrix/mat2d.js\":180,\"./gl-matrix/mat3.js\":181,\"./gl-matrix/mat4.js\":182,\"./gl-matrix/quat.js\":183,\"./gl-matrix/vec2.js\":184,\"./gl-matrix/vec3.js\":185,\"./gl-matrix/vec4.js\":186}],178:[function(t,e,r){var n={};n.EPSILON=1e-6,n.ARRAY_TYPE=\"undefined\"!=typeof 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t[0]=f*n+d*o+p*u,t[1]=f*i+d*s+p*c,t[2]=f*a+d*l+p*h,t[3]=m*n+g*o+v*u,t[4]=m*i+g*s+v*c,t[5]=m*a+g*l+v*h,t[6]=y*n+b*o+x*u,t[7]=y*i+b*s+x*c,t[8]=y*a+b*l+x*h,t},i.mul=i.multiply,i.translate=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],h=e[8],f=r[0],d=r[1];return t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=f*n+d*o+u,t[7]=f*i+d*s+c,t[8]=f*a+d*l+h,t},i.rotate=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],h=e[8],f=Math.sin(r),d=Math.cos(r);return t[0]=d*n+f*o,t[1]=d*i+f*s,t[2]=d*a+f*l,t[3]=d*o-f*n,t[4]=d*s-f*i,t[5]=d*l-f*a,t[6]=u,t[7]=c,t[8]=h,t},i.scale=function(t,e,r){var n=r[0],i=r[1];return t[0]=n*e[0],t[1]=n*e[1],t[2]=n*e[2],t[3]=i*e[3],t[4]=i*e[4],t[5]=i*e[5],t[6]=e[6],t[7]=e[7],t[8]=e[8],t},i.fromTranslation=function(t,e){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=1,t[5]=0,t[6]=e[0],t[7]=e[1],t[8]=1,t},i.fromRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=r,t[2]=0,t[3]=-r,t[4]=n,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},i.fromScaling=function(t,e){return t[0]=e[0],t[1]=0,t[2]=0,t[3]=0,t[4]=e[1],t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},i.fromMat2d=function(t,e){return t[0]=e[0],t[1]=e[1],t[2]=0,t[3]=e[2],t[4]=e[3],t[5]=0,t[6]=e[4],t[7]=e[5],t[8]=1,t},i.fromQuat=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,u=r*o,c=n*o,h=n*s,f=i*o,d=i*s,p=i*l,m=a*o,g=a*s,v=a*l;return t[0]=1-h-p,t[3]=c-v,t[6]=f+g,t[1]=c+v,t[4]=1-u-p,t[7]=d-m,t[2]=f-g,t[5]=d+m,t[8]=1-u-h,t},i.normalFromMat4=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],u=e[7],c=e[8],h=e[9],f=e[10],d=e[11],p=e[12],m=e[13],g=e[14],v=e[15],y=r*s-n*o,b=r*l-i*o,x=r*u-a*o,_=n*l-i*s,w=n*u-a*s,M=i*u-a*l,k=c*m-h*p,A=c*g-f*p,T=c*v-d*p,S=h*g-f*m,E=h*v-d*m,L=f*v-d*g,C=y*L-b*E+x*S+_*T-w*A+M*k;return C?(C=1/C,t[0]=(s*L-l*E+u*S)*C,t[1]=(l*T-o*L-u*A)*C,t[2]=(o*E-s*T+u*k)*C,t[3]=(i*E-n*L-a*S)*C,t[4]=(r*L-i*T+a*A)*C,t[5]=(n*T-r*E-a*k)*C,t[6]=(m*M-g*w+v*_)*C,t[7]=(g*x-p*M-v*b)*C,t[8]=(p*w-m*x+v*y)*C,t):null},i.str=function(t){return\"mat3(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\")\"},i.frob=function(t){return Math.sqrt(Math.pow(t[0],2)+Math.pow(t[1],2)+Math.pow(t[2],2)+Math.pow(t[3],2)+Math.pow(t[4],2)+Math.pow(t[5],2)+Math.pow(t[6],2)+Math.pow(t[7],2)+Math.pow(t[8],2))},i.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t[3]=e[3]+r[3],t[4]=e[4]+r[4],t[5]=e[5]+r[5],t[6]=e[6]+r[6],t[7]=e[7]+r[7],t[8]=e[8]+r[8],t},i.subtract=function(t,e,r){return t[0]=e[0]-r[0],t[1]=e[1]-r[1],t[2]=e[2]-r[2],t[3]=e[3]-r[3],t[4]=e[4]-r[4],t[5]=e[5]-r[5],t[6]=e[6]-r[6],t[7]=e[7]-r[7],t[8]=e[8]-r[8],t},i.sub=i.subtract,i.multiplyScalar=function(t,e,r){return t[0]=e[0]*r,t[1]=e[1]*r,t[2]=e[2]*r,t[3]=e[3]*r,t[4]=e[4]*r,t[5]=e[5]*r,t[6]=e[6]*r,t[7]=e[7]*r,t[8]=e[8]*r,t},i.multiplyScalarAndAdd=function(t,e,r,n){return t[0]=e[0]+r[0]*n,t[1]=e[1]+r[1]*n,t[2]=e[2]+r[2]*n,t[3]=e[3]+r[3]*n,t[4]=e[4]+r[4]*n,t[5]=e[5]+r[5]*n,t[6]=e[6]+r[6]*n,t[7]=e[7]+r[7]*n,t[8]=e[8]+r[8]*n,t},i.exactEquals=function(t,e){return t[0]===e[0]&&t[1]===e[1]&&t[2]===e[2]&&t[3]===e[3]&&t[4]===e[4]&&t[5]===e[5]&&t[6]===e[6]&&t[7]===e[7]&&t[8]===e[8]},i.equals=function(t,e){var r=t[0],i=t[1],a=t[2],o=t[3],s=t[4],l=t[5],u=t[6],c=t[7],h=t[8],f=e[0],d=e[1],p=e[2],m=e[3],g=e[4],v=e[5],y=t[6],b=e[7],x=e[8];return Math.abs(r-f)<=n.EPSILON*Math.max(1,Math.abs(r),Math.abs(f))&&Math.abs(i-d)<=n.EPSILON*Math.max(1,Math.abs(i),Math.abs(d))&&Math.abs(a-p)<=n.EPSILON*Math.max(1,Math.abs(a),Math.abs(p))&&Math.abs(o-m)<=n.EPSILON*Math.max(1,Math.abs(o),Math.abs(m))&&Math.abs(s-g)<=n.EPSILON*Math.max(1,Math.abs(s),Math.abs(g))&&Math.abs(l-v)<=n.EPSILON*Math.max(1,Math.abs(l),Math.abs(v))&&Math.abs(u-y)<=n.EPSILON*Math.max(1,Math.abs(u),Math.abs(y))&&Math.abs(c-b)<=n.EPSILON*Math.max(1,Math.abs(c),Math.abs(b))&&Math.abs(h-x)<=n.EPSILON*Math.max(1,Math.abs(h),Math.abs(x))},e.exports=i},{\"./common.js\":178}],182:[function(t,e,r){var n=t(\"./common.js\"),i={scalar:{},SIMD:{}};i.create=function(){var t=new n.ARRAY_TYPE(16);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},i.clone=function(t){var e=new n.ARRAY_TYPE(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},i.copy=function(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t},i.fromValues=function(t,e,r,i,a,o,s,l,u,c,h,f,d,p,m,g){var v=new n.ARRAY_TYPE(16);return v[0]=t,v[1]=e,v[2]=r,v[3]=i,v[4]=a,v[5]=o,v[6]=s,v[7]=l,v[8]=u,v[9]=c,v[10]=h,v[11]=f,v[12]=d,v[13]=p,v[14]=m,v[15]=g,v},i.set=function(t,e,r,n,i,a,o,s,l,u,c,h,f,d,p,m,g){return t[0]=e,t[1]=r,t[2]=n,t[3]=i,t[4]=a,t[5]=o,t[6]=s,t[7]=l,t[8]=u,t[9]=c,t[10]=h,t[11]=f,t[12]=d,t[13]=p,t[14]=m,t[15]=g,t},i.identity=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},i.scalar.transpose=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t},i.SIMD.transpose=function(t,e){var r,n,i,a,o,s,l,u,c,h;return r=SIMD.Float32x4.load(e,0),n=SIMD.Float32x4.load(e,4),i=SIMD.Float32x4.load(e,8),a=SIMD.Float32x4.load(e,12),o=SIMD.Float32x4.shuffle(r,n,0,1,4,5),s=SIMD.Float32x4.shuffle(i,a,0,1,4,5),l=SIMD.Float32x4.shuffle(o,s,0,2,4,6),u=SIMD.Float32x4.shuffle(o,s,1,3,5,7),SIMD.Float32x4.store(t,0,l),SIMD.Float32x4.store(t,4,u),o=SIMD.Float32x4.shuffle(r,n,2,3,6,7),s=SIMD.Float32x4.shuffle(i,a,2,3,6,7),c=SIMD.Float32x4.shuffle(o,s,0,2,4,6),h=SIMD.Float32x4.shuffle(o,s,1,3,5,7),SIMD.Float32x4.store(t,8,c),SIMD.Float32x4.store(t,12,h),t},i.transpose=n.USE_SIMD?i.SIMD.transpose:i.scalar.transpose,i.scalar.invert=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],u=e[7],c=e[8],h=e[9],f=e[10],d=e[11],p=e[12],m=e[13],g=e[14],v=e[15],y=r*s-n*o,b=r*l-i*o,x=r*u-a*o,_=n*l-i*s,w=n*u-a*s,M=i*u-a*l,k=c*m-h*p,A=c*g-f*p,T=c*v-d*p,S=h*g-f*m,E=h*v-d*m,L=f*v-d*g,C=y*L-b*E+x*S+_*T-w*A+M*k;return C?(C=1/C,t[0]=(s*L-l*E+u*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(m*M-g*w+v*_)*C,t[3]=(f*w-h*M-d*_)*C,t[4]=(l*T-o*L-u*A)*C,t[5]=(r*L-i*T+a*A)*C,t[6]=(g*x-p*M-v*b)*C,t[7]=(c*M-f*x+d*b)*C,t[8]=(o*E-s*T+u*k)*C,t[9]=(n*T-r*E-a*k)*C,t[10]=(p*w-m*x+v*y)*C,t[11]=(h*x-c*w-d*y)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(m*b-p*_-g*y)*C,t[15]=(c*_-h*b+f*y)*C,t):null},i.SIMD.invert=function(t,e){var r,n,i,a,o,s,l,u,c,h,f=SIMD.Float32x4.load(e,0),d=SIMD.Float32x4.load(e,4),p=SIMD.Float32x4.load(e,8),m=SIMD.Float32x4.load(e,12);return o=SIMD.Float32x4.shuffle(f,d,0,1,4,5),n=SIMD.Float32x4.shuffle(p,m,0,1,4,5),r=SIMD.Float32x4.shuffle(o,n,0,2,4,6),n=SIMD.Float32x4.shuffle(n,o,1,3,5,7),o=SIMD.Float32x4.shuffle(f,d,2,3,6,7),a=SIMD.Float32x4.shuffle(p,m,2,3,6,7),i=SIMD.Float32x4.shuffle(o,a,0,2,4,6),a=SIMD.Float32x4.shuffle(a,o,1,3,5,7),o=SIMD.Float32x4.mul(i,a),o=SIMD.Float32x4.swizzle(o,1,0,3,2),s=SIMD.Float32x4.mul(n,o),l=SIMD.Float32x4.mul(r,o),o=SIMD.Float32x4.swizzle(o,2,3,0,1),s=SIMD.Float32x4.sub(SIMD.Float32x4.mul(n,o),s),l=SIMD.Float32x4.sub(SIMD.Float32x4.mul(r,o),l),l=SIMD.Float32x4.swizzle(l,2,3,0,1),o=SIMD.Float32x4.mul(n,i),o=SIMD.Float32x4.swizzle(o,1,0,3,2),s=SIMD.Float32x4.add(SIMD.Float32x4.mul(a,o),s),c=SIMD.Float32x4.mul(r,o),o=SIMD.Float32x4.swizzle(o,2,3,0,1),s=SIMD.Float32x4.sub(s,SIMD.Float32x4.mul(a,o)),c=SIMD.Float32x4.sub(SIMD.Float32x4.mul(r,o),c),c=SIMD.Float32x4.swizzle(c,2,3,0,1),o=SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(n,2,3,0,1),a),o=SIMD.Float32x4.swizzle(o,1,0,3,2),i=SIMD.Float32x4.swizzle(i,2,3,0,1),s=SIMD.Float32x4.add(SIMD.Float32x4.mul(i,o),s),u=SIMD.Float32x4.mul(r,o),o=SIMD.Float32x4.swizzle(o,2,3,0,1),s=SIMD.Float32x4.sub(s,SIMD.Float32x4.mul(i,o)),u=SIMD.Float32x4.sub(SIMD.Float32x4.mul(r,o),u),u=SIMD.Float32x4.swizzle(u,2,3,0,1),o=SIMD.Float32x4.mul(r,n),o=SIMD.Float32x4.swizzle(o,1,0,3,2),u=SIMD.Float32x4.add(SIMD.Float32x4.mul(a,o),u),c=SIMD.Float32x4.sub(SIMD.Float32x4.mul(i,o),c),o=SIMD.Float32x4.swizzle(o,2,3,0,1),u=SIMD.Float32x4.sub(SIMD.Float32x4.mul(a,o),u),c=SIMD.Float32x4.sub(c,SIMD.Float32x4.mul(i,o)),o=SIMD.Float32x4.mul(r,a),o=SIMD.Float32x4.swizzle(o,1,0,3,2),l=SIMD.Float32x4.sub(l,SIMD.Float32x4.mul(i,o)),u=SIMD.Float32x4.add(SIMD.Float32x4.mul(n,o),u),o=SIMD.Float32x4.swizzle(o,2,3,0,1),l=SIMD.Float32x4.add(SIMD.Float32x4.mul(i,o),l),u=SIMD.Float32x4.sub(u,SIMD.Float32x4.mul(n,o)),o=SIMD.Float32x4.mul(r,i),o=SIMD.Float32x4.swizzle(o,1,0,3,2),l=SIMD.Float32x4.add(SIMD.Float32x4.mul(a,o),l),c=SIMD.Float32x4.sub(c,SIMD.Float32x4.mul(n,o)),o=SIMD.Float32x4.swizzle(o,2,3,0,1),l=SIMD.Float32x4.sub(l,SIMD.Float32x4.mul(a,o)),c=SIMD.Float32x4.add(SIMD.Float32x4.mul(n,o),c),h=SIMD.Float32x4.mul(r,s),h=SIMD.Float32x4.add(SIMD.Float32x4.swizzle(h,2,3,0,1),h),h=SIMD.Float32x4.add(SIMD.Float32x4.swizzle(h,1,0,3,2),h),o=SIMD.Float32x4.reciprocalApproximation(h),h=SIMD.Float32x4.sub(SIMD.Float32x4.add(o,o),SIMD.Float32x4.mul(h,SIMD.Float32x4.mul(o,o))),(h=SIMD.Float32x4.swizzle(h,0,0,0,0))?(SIMD.Float32x4.store(t,0,SIMD.Float32x4.mul(h,s)),SIMD.Float32x4.store(t,4,SIMD.Float32x4.mul(h,l)),SIMD.Float32x4.store(t,8,SIMD.Float32x4.mul(h,u)),SIMD.Float32x4.store(t,12,SIMD.Float32x4.mul(h,c)),t):null},i.invert=n.USE_SIMD?i.SIMD.invert:i.scalar.invert,i.scalar.adjoint=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],u=e[7],c=e[8],h=e[9],f=e[10],d=e[11],p=e[12],m=e[13],g=e[14],v=e[15];return t[0]=s*(f*v-d*g)-h*(l*v-u*g)+m*(l*d-u*f),t[1]=-(n*(f*v-d*g)-h*(i*v-a*g)+m*(i*d-a*f)),t[2]=n*(l*v-u*g)-s*(i*v-a*g)+m*(i*u-a*l),t[3]=-(n*(l*d-u*f)-s*(i*d-a*f)+h*(i*u-a*l)),t[4]=-(o*(f*v-d*g)-c*(l*v-u*g)+p*(l*d-u*f)),t[5]=r*(f*v-d*g)-c*(i*v-a*g)+p*(i*d-a*f),t[6]=-(r*(l*v-u*g)-o*(i*v-a*g)+p*(i*u-a*l)),t[7]=r*(l*d-u*f)-o*(i*d-a*f)+c*(i*u-a*l),t[8]=o*(h*v-d*m)-c*(s*v-u*m)+p*(s*d-u*h),t[9]=-(r*(h*v-d*m)-c*(n*v-a*m)+p*(n*d-a*h)),t[10]=r*(s*v-u*m)-o*(n*v-a*m)+p*(n*u-a*s),t[11]=-(r*(s*d-u*h)-o*(n*d-a*h)+c*(n*u-a*s)),t[12]=-(o*(h*g-f*m)-c*(s*g-l*m)+p*(s*f-l*h)),t[13]=r*(h*g-f*m)-c*(n*g-i*m)+p*(n*f-i*h),t[14]=-(r*(s*g-l*m)-o*(n*g-i*m)+p*(n*l-i*s)),t[15]=r*(s*f-l*h)-o*(n*f-i*h)+c*(n*l-i*s),t},i.SIMD.adjoint=function(t,e){var r,n,i,a,o,s,l,u,c,h,f,d,p,r=SIMD.Float32x4.load(e,0),n=SIMD.Float32x4.load(e,4),i=SIMD.Float32x4.load(e,8),a=SIMD.Float32x4.load(e,12);return c=SIMD.Float32x4.shuffle(r,n,0,1,4,5),s=SIMD.Float32x4.shuffle(i,a,0,1,4,5),o=SIMD.Float32x4.shuffle(c,s,0,2,4,6),s=SIMD.Float32x4.shuffle(s,c,1,3,5,7),c=SIMD.Float32x4.shuffle(r,n,2,3,6,7),u=SIMD.Float32x4.shuffle(i,a,2,3,6,7),l=SIMD.Float32x4.shuffle(c,u,0,2,4,6),u=SIMD.Float32x4.shuffle(u,c,1,3,5,7),c=SIMD.Float32x4.mul(l,u),c=SIMD.Float32x4.swizzle(c,1,0,3,2),h=SIMD.Float32x4.mul(s,c),f=SIMD.Float32x4.mul(o,c),c=SIMD.Float32x4.swizzle(c,2,3,0,1),h=SIMD.Float32x4.sub(SIMD.Float32x4.mul(s,c),h),f=SIMD.Float32x4.sub(SIMD.Float32x4.mul(o,c),f),f=SIMD.Float32x4.swizzle(f,2,3,0,1),c=SIMD.Float32x4.mul(s,l),c=SIMD.Float32x4.swizzle(c,1,0,3,2),h=SIMD.Float32x4.add(SIMD.Float32x4.mul(u,c),h),p=SIMD.Float32x4.mul(o,c),c=SIMD.Float32x4.swizzle(c,2,3,0,1),h=SIMD.Float32x4.sub(h,SIMD.Float32x4.mul(u,c)),p=SIMD.Float32x4.sub(SIMD.Float32x4.mul(o,c),p),p=SIMD.Float32x4.swizzle(p,2,3,0,1),c=SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(s,2,3,0,1),u),c=SIMD.Float32x4.swizzle(c,1,0,3,2),l=SIMD.Float32x4.swizzle(l,2,3,0,1),h=SIMD.Float32x4.add(SIMD.Float32x4.mul(l,c),h),d=SIMD.Float32x4.mul(o,c),c=SIMD.Float32x4.swizzle(c,2,3,0,1),h=SIMD.Float32x4.sub(h,SIMD.Float32x4.mul(l,c)),d=SIMD.Float32x4.sub(SIMD.Float32x4.mul(o,c),d),d=SIMD.Float32x4.swizzle(d,2,3,0,1),c=SIMD.Float32x4.mul(o,s),c=SIMD.Float32x4.swizzle(c,1,0,3,2),d=SIMD.Float32x4.add(SIMD.Float32x4.mul(u,c),d),p=SIMD.Float32x4.sub(SIMD.Float32x4.mul(l,c),p),c=SIMD.Float32x4.swizzle(c,2,3,0,1),d=SIMD.Float32x4.sub(SIMD.Float32x4.mul(u,c),d),p=SIMD.Float32x4.sub(p,SIMD.Float32x4.mul(l,c)),c=SIMD.Float32x4.mul(o,u),c=SIMD.Float32x4.swizzle(c,1,0,3,2),f=SIMD.Float32x4.sub(f,SIMD.Float32x4.mul(l,c)),d=SIMD.Float32x4.add(SIMD.Float32x4.mul(s,c),d),c=SIMD.Float32x4.swizzle(c,2,3,0,1),f=SIMD.Float32x4.add(SIMD.Float32x4.mul(l,c),f),d=SIMD.Float32x4.sub(d,SIMD.Float32x4.mul(s,c)),c=SIMD.Float32x4.mul(o,l),c=SIMD.Float32x4.swizzle(c,1,0,3,2),f=SIMD.Float32x4.add(SIMD.Float32x4.mul(u,c),f),p=SIMD.Float32x4.sub(p,SIMD.Float32x4.mul(s,c)),c=SIMD.Float32x4.swizzle(c,2,3,0,1),f=SIMD.Float32x4.sub(f,SIMD.Float32x4.mul(u,c)),p=SIMD.Float32x4.add(SIMD.Float32x4.mul(s,c),p),SIMD.Float32x4.store(t,0,h),SIMD.Float32x4.store(t,4,f),SIMD.Float32x4.store(t,8,d),SIMD.Float32x4.store(t,12,p),t},i.adjoint=n.USE_SIMD?i.SIMD.adjoint:i.scalar.adjoint,i.determinant=function(t){var e=t[0],r=t[1],n=t[2],i=t[3],a=t[4],o=t[5],s=t[6],l=t[7],u=t[8],c=t[9],h=t[10],f=t[11],d=t[12],p=t[13],m=t[14],g=t[15];return(e*o-r*a)*(h*g-f*m)-(e*s-n*a)*(c*g-f*p)+(e*l-i*a)*(c*m-h*p)+(r*s-n*o)*(u*g-f*d)-(r*l-i*o)*(u*m-h*d)+(n*l-i*s)*(u*p-c*d)},i.SIMD.multiply=function(t,e,r){var n=SIMD.Float32x4.load(e,0),i=SIMD.Float32x4.load(e,4),a=SIMD.Float32x4.load(e,8),o=SIMD.Float32x4.load(e,12),s=SIMD.Float32x4.load(r,0),l=SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(s,0,0,0,0),n),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(s,1,1,1,1),i),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(s,2,2,2,2),a),SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(s,3,3,3,3),o))));SIMD.Float32x4.store(t,0,l);var u=SIMD.Float32x4.load(r,4),c=SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(u,0,0,0,0),n),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(u,1,1,1,1),i),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(u,2,2,2,2),a),SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(u,3,3,3,3),o))));SIMD.Float32x4.store(t,4,c);var h=SIMD.Float32x4.load(r,8),f=SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(h,0,0,0,0),n),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(h,1,1,1,1),i),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(h,2,2,2,2),a),SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(h,3,3,3,3),o))));SIMD.Float32x4.store(t,8,f);var d=SIMD.Float32x4.load(r,12),p=SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(d,0,0,0,0),n),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(d,1,1,1,1),i),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(d,2,2,2,2),a),SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(d,3,3,3,3),o))));return SIMD.Float32x4.store(t,12,p),t},i.scalar.multiply=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],h=e[8],f=e[9],d=e[10],p=e[11],m=e[12],g=e[13],v=e[14],y=e[15],b=r[0],x=r[1],_=r[2],w=r[3];return t[0]=b*n+x*s+_*h+w*m,t[1]=b*i+x*l+_*f+w*g,t[2]=b*a+x*u+_*d+w*v,t[3]=b*o+x*c+_*p+w*y,b=r[4],x=r[5],_=r[6],w=r[7],t[4]=b*n+x*s+_*h+w*m,t[5]=b*i+x*l+_*f+w*g,t[6]=b*a+x*u+_*d+w*v,t[7]=b*o+x*c+_*p+w*y,b=r[8],x=r[9],_=r[10],w=r[11],t[8]=b*n+x*s+_*h+w*m,t[9]=b*i+x*l+_*f+w*g,t[10]=b*a+x*u+_*d+w*v,t[11]=b*o+x*c+_*p+w*y,b=r[12],x=r[13],_=r[14],w=r[15],t[12]=b*n+x*s+_*h+w*m,t[13]=b*i+x*l+_*f+w*g,t[14]=b*a+x*u+_*d+w*v,t[15]=b*o+x*c+_*p+w*y,t},i.multiply=n.USE_SIMD?i.SIMD.multiply:i.scalar.multiply,i.mul=i.multiply,i.scalar.translate=function(t,e,r){var n,i,a,o,s,l,u,c,h,f,d,p,m=r[0],g=r[1],v=r[2];return e===t?(t[12]=e[0]*m+e[4]*g+e[8]*v+e[12],t[13]=e[1]*m+e[5]*g+e[9]*v+e[13],t[14]=e[2]*m+e[6]*g+e[10]*v+e[14],t[15]=e[3]*m+e[7]*g+e[11]*v+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],h=e[8],f=e[9],d=e[10],p=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=u,t[7]=c,t[8]=h,t[9]=f,t[10]=d,t[11]=p,t[12]=n*m+s*g+h*v+e[12],t[13]=i*m+l*g+f*v+e[13],t[14]=a*m+u*g+d*v+e[14],t[15]=o*m+c*g+p*v+e[15]),t},i.SIMD.translate=function(t,e,r){var n=SIMD.Float32x4.load(e,0),i=SIMD.Float32x4.load(e,4),a=SIMD.Float32x4.load(e,8),o=SIMD.Float32x4.load(e,12),s=SIMD.Float32x4(r[0],r[1],r[2],0);e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11]),n=SIMD.Float32x4.mul(n,SIMD.Float32x4.swizzle(s,0,0,0,0)),i=SIMD.Float32x4.mul(i,SIMD.Float32x4.swizzle(s,1,1,1,1)),a=SIMD.Float32x4.mul(a,SIMD.Float32x4.swizzle(s,2,2,2,2));var l=SIMD.Float32x4.add(n,SIMD.Float32x4.add(i,SIMD.Float32x4.add(a,o)));return SIMD.Float32x4.store(t,12,l),t},i.translate=n.USE_SIMD?i.SIMD.translate:i.scalar.translate,i.scalar.scale=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t},i.SIMD.scale=function(t,e,r){var n,i,a,o=SIMD.Float32x4(r[0],r[1],r[2],0);return n=SIMD.Float32x4.load(e,0),SIMD.Float32x4.store(t,0,SIMD.Float32x4.mul(n,SIMD.Float32x4.swizzle(o,0,0,0,0))),i=SIMD.Float32x4.load(e,4),SIMD.Float32x4.store(t,4,SIMD.Float32x4.mul(i,SIMD.Float32x4.swizzle(o,1,1,1,1))),a=SIMD.Float32x4.load(e,8),SIMD.Float32x4.store(t,8,SIMD.Float32x4.mul(a,SIMD.Float32x4.swizzle(o,2,2,2,2))),t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t},i.scale=n.USE_SIMD?i.SIMD.scale:i.scalar.scale,i.rotate=function(t,e,r,i){var a,o,s,l,u,c,h,f,d,p,m,g,v,y,b,x,_,w,M,k,A,T,S,E,L=i[0],C=i[1],z=i[2],D=Math.sqrt(L*L+C*C+z*z);return Math.abs(D)<n.EPSILON?null:(D=1/D,L*=D,C*=D,z*=D,a=Math.sin(r),o=Math.cos(r),s=1-o,l=e[0],u=e[1],c=e[2],h=e[3],f=e[4],d=e[5],p=e[6],m=e[7],g=e[8],v=e[9],y=e[10],b=e[11],x=L*L*s+o,_=C*L*s+z*a,w=z*L*s-C*a,M=L*C*s-z*a,k=C*C*s+o,A=z*C*s+L*a,T=L*z*s+C*a,S=C*z*s-L*a,E=z*z*s+o,t[0]=l*x+f*_+g*w,t[1]=u*x+d*_+v*w,t[2]=c*x+p*_+y*w,t[3]=h*x+m*_+b*w,t[4]=l*M+f*k+g*A,t[5]=u*M+d*k+v*A,t[6]=c*M+p*k+y*A,t[7]=h*M+m*k+b*A,t[8]=l*T+f*S+g*E,t[9]=u*T+d*S+v*E,t[10]=c*T+p*S+y*E,t[11]=h*T+m*S+b*E,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t)},i.scalar.rotateX=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],u=e[8],c=e[9],h=e[10],f=e[11];return e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[4]=a*i+u*n,t[5]=o*i+c*n,t[6]=s*i+h*n,t[7]=l*i+f*n,t[8]=u*i-a*n,t[9]=c*i-o*n,t[10]=h*i-s*n,t[11]=f*i-l*n,t},i.SIMD.rotateX=function(t,e,r){var n=SIMD.Float32x4.splat(Math.sin(r)),i=SIMD.Float32x4.splat(Math.cos(r));e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);var a=SIMD.Float32x4.load(e,4),o=SIMD.Float32x4.load(e,8);return SIMD.Float32x4.store(t,4,SIMD.Float32x4.add(SIMD.Float32x4.mul(a,i),SIMD.Float32x4.mul(o,n))),SIMD.Float32x4.store(t,8,SIMD.Float32x4.sub(SIMD.Float32x4.mul(o,i),SIMD.Float32x4.mul(a,n))),t},i.rotateX=n.USE_SIMD?i.SIMD.rotateX:i.scalar.rotateX,i.scalar.rotateY=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[8],c=e[9],h=e[10],f=e[11];return e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i-u*n,t[1]=o*i-c*n,t[2]=s*i-h*n,t[3]=l*i-f*n,t[8]=a*n+u*i,t[9]=o*n+c*i,t[10]=s*n+h*i,t[11]=l*n+f*i,t},i.SIMD.rotateY=function(t,e,r){var n=SIMD.Float32x4.splat(Math.sin(r)),i=SIMD.Float32x4.splat(Math.cos(r));e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);var a=SIMD.Float32x4.load(e,0),o=SIMD.Float32x4.load(e,8);return SIMD.Float32x4.store(t,0,SIMD.Float32x4.sub(SIMD.Float32x4.mul(a,i),SIMD.Float32x4.mul(o,n))),SIMD.Float32x4.store(t,8,SIMD.Float32x4.add(SIMD.Float32x4.mul(a,n),SIMD.Float32x4.mul(o,i))),t},i.rotateY=n.USE_SIMD?i.SIMD.rotateY:i.scalar.rotateY,i.scalar.rotateZ=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[4],c=e[5],h=e[6],f=e[7];return e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i+u*n,t[1]=o*i+c*n,t[2]=s*i+h*n,t[3]=l*i+f*n,t[4]=u*i-a*n,t[5]=c*i-o*n,t[6]=h*i-s*n,t[7]=f*i-l*n,t},i.SIMD.rotateZ=function(t,e,r){var n=SIMD.Float32x4.splat(Math.sin(r)),i=SIMD.Float32x4.splat(Math.cos(r));e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);var a=SIMD.Float32x4.load(e,0),o=SIMD.Float32x4.load(e,4);return SIMD.Float32x4.store(t,0,SIMD.Float32x4.add(SIMD.Float32x4.mul(a,i),SIMD.Float32x4.mul(o,n))),SIMD.Float32x4.store(t,4,SIMD.Float32x4.sub(SIMD.Float32x4.mul(o,i),SIMD.Float32x4.mul(a,n))),t},i.rotateZ=n.USE_SIMD?i.SIMD.rotateZ:i.scalar.rotateZ,i.fromTranslation=function(t,e){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=e[0],t[13]=e[1],t[14]=e[2],t[15]=1,t},i.fromScaling=function(t,e){return t[0]=e[0],t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=e[1],t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=e[2],t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},i.fromRotation=function(t,e,r){var i,a,o,s=r[0],l=r[1],u=r[2],c=Math.sqrt(s*s+l*l+u*u);return Math.abs(c)<n.EPSILON?null:(c=1/c,s*=c,l*=c,u*=c,i=Math.sin(e),a=Math.cos(e),o=1-a,t[0]=s*s*o+a,t[1]=l*s*o+u*i,t[2]=u*s*o-l*i,t[3]=0,t[4]=s*l*o-u*i,t[5]=l*l*o+a,t[6]=u*l*o+s*i,t[7]=0,t[8]=s*u*o+l*i,t[9]=l*u*o-s*i,t[10]=u*u*o+a,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t)},i.fromXRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=n,t[6]=r,t[7]=0,t[8]=0,t[9]=-r,t[10]=n,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},i.fromYRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=0,t[2]=-r,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=r,t[9]=0,t[10]=n,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},i.fromZRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=r,t[2]=0,t[3]=0,t[4]=-r,t[5]=n,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},i.fromRotationTranslation=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,u=a+a,c=n*s,h=n*l,f=n*u,d=i*l,p=i*u,m=a*u,g=o*s,v=o*l,y=o*u;return t[0]=1-(d+m),t[1]=h+y,t[2]=f-v,t[3]=0,t[4]=h-y,t[5]=1-(c+m),t[6]=p+g,t[7]=0,t[8]=f+v,t[9]=p-g,t[10]=1-(c+d),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t},i.getTranslation=function(t,e){return t[0]=e[12],t[1]=e[13],t[2]=e[14],t},i.getRotation=function(t,e){var r=e[0]+e[5]+e[10],n=0;return r>0?(n=2*Math.sqrt(r+1),t[3]=.25*n,t[0]=(e[6]-e[9])/n,t[1]=(e[8]-e[2])/n,t[2]=(e[1]-e[4])/n):e[0]>e[5]&e[0]>e[10]?(n=2*Math.sqrt(1+e[0]-e[5]-e[10]),t[3]=(e[6]-e[9])/n,t[0]=.25*n,t[1]=(e[1]+e[4])/n,t[2]=(e[8]+e[2])/n):e[5]>e[10]?(n=2*Math.sqrt(1+e[5]-e[0]-e[10]),t[3]=(e[8]-e[2])/n,t[0]=(e[1]+e[4])/n,t[1]=.25*n,t[2]=(e[6]+e[9])/n):(n=2*Math.sqrt(1+e[10]-e[0]-e[5]),t[3]=(e[1]-e[4])/n,t[0]=(e[8]+e[2])/n,t[1]=(e[6]+e[9])/n,t[2]=.25*n),t},i.fromRotationTranslationScale=function(t,e,r,n){var i=e[0],a=e[1],o=e[2],s=e[3],l=i+i,u=a+a,c=o+o,h=i*l,f=i*u,d=i*c,p=a*u,m=a*c,g=o*c,v=s*l,y=s*u,b=s*c,x=n[0],_=n[1],w=n[2];return t[0]=(1-(p+g))*x,t[1]=(f+b)*x,t[2]=(d-y)*x,t[3]=0,t[4]=(f-b)*_,t[5]=(1-(h+g))*_,t[6]=(m+v)*_,t[7]=0,t[8]=(d+y)*w,t[9]=(m-v)*w,t[10]=(1-(h+p))*w,t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t},i.fromRotationTranslationScaleOrigin=function(t,e,r,n,i){var a=e[0],o=e[1],s=e[2],l=e[3],u=a+a,c=o+o,h=s+s,f=a*u,d=a*c,p=a*h,m=o*c,g=o*h,v=s*h,y=l*u,b=l*c,x=l*h,_=n[0],w=n[1],M=n[2],k=i[0],A=i[1],T=i[2];return t[0]=(1-(m+v))*_,t[1]=(d+x)*_,t[2]=(p-b)*_,t[3]=0,t[4]=(d-x)*w,t[5]=(1-(f+v))*w,t[6]=(g+y)*w,t[7]=0,t[8]=(p+b)*M,t[9]=(g-y)*M,t[10]=(1-(f+m))*M,t[11]=0,t[12]=r[0]+k-(t[0]*k+t[4]*A+t[8]*T),t[13]=r[1]+A-(t[1]*k+t[5]*A+t[9]*T),t[14]=r[2]+T-(t[2]*k+t[6]*A+t[10]*T),t[15]=1,t},i.fromQuat=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,u=r*o,c=n*o,h=n*s,f=i*o,d=i*s,p=i*l,m=a*o,g=a*s,v=a*l;return t[0]=1-h-p,t[1]=c+v,t[2]=f-g,t[3]=0,t[4]=c-v,t[5]=1-u-p,t[6]=d+m,t[7]=0,t[8]=f+g,t[9]=d-m,t[10]=1-u-h,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},i.frustum=function(t,e,r,n,i,a,o){var s=1/(r-e),l=1/(i-n),u=1/(a-o);return t[0]=2*a*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=2*a*l,t[6]=0,t[7]=0,t[8]=(r+e)*s,t[9]=(i+n)*l,t[10]=(o+a)*u,t[11]=-1,t[12]=0,t[13]=0,t[14]=o*a*2*u,t[15]=0,t},i.perspective=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t},i.perspectiveFromFieldOfView=function(t,e,r,n){var i=Math.tan(e.upDegrees*Math.PI/180),a=Math.tan(e.downDegrees*Math.PI/180),o=Math.tan(e.leftDegrees*Math.PI/180),s=Math.tan(e.rightDegrees*Math.PI/180),l=2/(o+s),u=2/(i+a);return t[0]=l,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=u,t[6]=0,t[7]=0,t[8]=-((o-s)*l)*.5,t[9]=(i-a)*u*.5,t[10]=n/(r-n),t[11]=-1,t[12]=0,t[13]=0,t[14]=n*r/(r-n),t[15]=0,t},i.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),u=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*u,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*u,t[15]=1,t},i.lookAt=function(t,e,r,a){var o,s,l,u,c,h,f,d,p,m,g=e[0],v=e[1],y=e[2],b=a[0],x=a[1],_=a[2],w=r[0],M=r[1],k=r[2];return Math.abs(g-w)<n.EPSILON&&Math.abs(v-M)<n.EPSILON&&Math.abs(y-k)<n.EPSILON?i.identity(t):(f=g-w,d=v-M,p=y-k,m=1/Math.sqrt(f*f+d*d+p*p),f*=m,d*=m,p*=m,o=x*p-_*d,s=_*f-b*p,l=b*d-x*f,m=Math.sqrt(o*o+s*s+l*l),m?(m=1/m,o*=m,s*=m,l*=m):(o=0,s=0,l=0),u=d*l-p*s,c=p*o-f*l,h=f*s-d*o,m=Math.sqrt(u*u+c*c+h*h),m?(m=1/m,u*=m,c*=m,h*=m):(u=0,c=0,h=0),t[0]=o,t[1]=u,t[2]=f,t[3]=0,t[4]=s,t[5]=c,t[6]=d,t[7]=0,t[8]=l,t[9]=h,t[10]=p,t[11]=0,t[12]=-(o*g+s*v+l*y),t[13]=-(u*g+c*v+h*y),t[14]=-(f*g+d*v+p*y),t[15]=1,t)},i.str=function(t){return\"mat4(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\", \"+t[9]+\", \"+t[10]+\", \"+t[11]+\", \"+t[12]+\", \"+t[13]+\", \"+t[14]+\", \"+t[15]+\")\"},i.frob=function(t){return Math.sqrt(Math.pow(t[0],2)+Math.pow(t[1],2)+Math.pow(t[2],2)+Math.pow(t[3],2)+Math.pow(t[4],2)+Math.pow(t[5],2)+Math.pow(t[6],2)+Math.pow(t[7],2)+Math.pow(t[8],2)+Math.pow(t[9],2)+Math.pow(t[10],2)+Math.pow(t[11],2)+Math.pow(t[12],2)+Math.pow(t[13],2)+Math.pow(t[14],2)+Math.pow(t[15],2))},i.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t[3]=e[3]+r[3],t[4]=e[4]+r[4],t[5]=e[5]+r[5],t[6]=e[6]+r[6],t[7]=e[7]+r[7],t[8]=e[8]+r[8],\n",
       "t[9]=e[9]+r[9],t[10]=e[10]+r[10],t[11]=e[11]+r[11],t[12]=e[12]+r[12],t[13]=e[13]+r[13],t[14]=e[14]+r[14],t[15]=e[15]+r[15],t},i.subtract=function(t,e,r){return t[0]=e[0]-r[0],t[1]=e[1]-r[1],t[2]=e[2]-r[2],t[3]=e[3]-r[3],t[4]=e[4]-r[4],t[5]=e[5]-r[5],t[6]=e[6]-r[6],t[7]=e[7]-r[7],t[8]=e[8]-r[8],t[9]=e[9]-r[9],t[10]=e[10]-r[10],t[11]=e[11]-r[11],t[12]=e[12]-r[12],t[13]=e[13]-r[13],t[14]=e[14]-r[14],t[15]=e[15]-r[15],t},i.sub=i.subtract,i.multiplyScalar=function(t,e,r){return t[0]=e[0]*r,t[1]=e[1]*r,t[2]=e[2]*r,t[3]=e[3]*r,t[4]=e[4]*r,t[5]=e[5]*r,t[6]=e[6]*r,t[7]=e[7]*r,t[8]=e[8]*r,t[9]=e[9]*r,t[10]=e[10]*r,t[11]=e[11]*r,t[12]=e[12]*r,t[13]=e[13]*r,t[14]=e[14]*r,t[15]=e[15]*r,t},i.multiplyScalarAndAdd=function(t,e,r,n){return t[0]=e[0]+r[0]*n,t[1]=e[1]+r[1]*n,t[2]=e[2]+r[2]*n,t[3]=e[3]+r[3]*n,t[4]=e[4]+r[4]*n,t[5]=e[5]+r[5]*n,t[6]=e[6]+r[6]*n,t[7]=e[7]+r[7]*n,t[8]=e[8]+r[8]*n,t[9]=e[9]+r[9]*n,t[10]=e[10]+r[10]*n,t[11]=e[11]+r[11]*n,t[12]=e[12]+r[12]*n,t[13]=e[13]+r[13]*n,t[14]=e[14]+r[14]*n,t[15]=e[15]+r[15]*n,t},i.exactEquals=function(t,e){return t[0]===e[0]&&t[1]===e[1]&&t[2]===e[2]&&t[3]===e[3]&&t[4]===e[4]&&t[5]===e[5]&&t[6]===e[6]&&t[7]===e[7]&&t[8]===e[8]&&t[9]===e[9]&&t[10]===e[10]&&t[11]===e[11]&&t[12]===e[12]&&t[13]===e[13]&&t[14]===e[14]&&t[15]===e[15]},i.equals=function(t,e){var r=t[0],i=t[1],a=t[2],o=t[3],s=t[4],l=t[5],u=t[6],c=t[7],h=t[8],f=t[9],d=t[10],p=t[11],m=t[12],g=t[13],v=t[14],y=t[15],b=e[0],x=e[1],_=e[2],w=e[3],M=e[4],k=e[5],A=e[6],T=e[7],S=e[8],E=e[9],L=e[10],C=e[11],z=e[12],D=e[13],I=e[14],P=e[15];return 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opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if(any(lessThan(f_data, clipBounds[0])) || \\n     any(greaterThan(f_data, clipBounds[1]))) {\\n    discard;\\n  }\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\",attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.pointShader={vertex:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if(any(lessThan(position, clipBounds[0])) || \\n     any(greaterThan(position, clipBounds[1]))) {\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\",fragment:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5,0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\",attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},r.pickShader={vertex:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}\",fragment:n,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},r.pointPickShader={vertex:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if(any(lessThan(position, clipBounds[0])) || \\n     any(greaterThan(position, clipBounds[1]))) {\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    gl_Position  = projection * view * model * vec4(position, 1.0);\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\",fragment:n,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},r.contourShader={vertex:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n}\",fragment:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor,1);\\n}\\n\",attributes:[{name:\"position\",type:\"vec3\"}]}},{}],189:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s,l,u,c,h,f,d,p,m,g,v,y,b,x,_,w,M,k,A,T){this.gl=t,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=c,this.triangleNormals=f,this.triangleUVs=h,this.triangleIds=u,this.triangleVAO=d,this.triangleCount=0,this.lineWidth=1,this.edgePositions=p,this.edgeColors=g,this.edgeUVs=v,this.edgeIds=m,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=b,this.pointColors=_,this.pointUVs=w,this.pointSizes=M,this.pointIds=x,this.pointVAO=k,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=A,this.contourVAO=T,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this._model=I,this._view=I,this._projection=I,this._resolution=[1,1]}function i(t){for(var e=w({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return _(r,[256,256,4],[4,0,1])}function a(t,e,r){for(var n=new Array(e),i=0;i<e;++i)n[i]=0;for(var a=t.length,i=0;i<a;++i)for(var o=t[i],s=0;s<o.length;++s)n[o[s]]=r[i];return n}function o(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}function s(t){var e=p(t,S);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function l(t){var e=p(t,E);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function u(t){var e=p(t,L);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function c(t){var e=p(t,C);return e.attributes.position.location=0,e.attributes.id.location=1,e}function h(t){var e=p(t,z);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function f(t){var e=p(t,D);return e.attributes.position.location=0,e}function d(t){var e=t.gl,r=s(e),i=l(e),a=u(e),o=c(e),d=h(e),p=f(e),y=v(e,_(new Uint8Array([255,255,255,255]),[1,1,4]));y.generateMipmap(),y.minFilter=e.LINEAR_MIPMAP_LINEAR,y.magFilter=e.LINEAR;var b=m(e),x=m(e),w=m(e),M=m(e),k=m(e),A=g(e,[{buffer:b,type:e.FLOAT,size:3},{buffer:k,type:e.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:x,type:e.FLOAT,size:4},{buffer:w,type:e.FLOAT,size:2},{buffer:M,type:e.FLOAT,size:3}]),T=m(e),S=m(e),E=m(e),L=m(e),C=g(e,[{buffer:T,type:e.FLOAT,size:3},{buffer:L,type:e.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:S,type:e.FLOAT,size:4},{buffer:E,type:e.FLOAT,size:2}]),z=m(e),D=m(e),I=m(e),P=m(e),O=m(e),j=g(e,[{buffer:z,type:e.FLOAT,size:3},{buffer:O,type:e.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:D,type:e.FLOAT,size:4},{buffer:I,type:e.FLOAT,size:2},{buffer:P,type:e.FLOAT,size:1}]),R=m(e),F=g(e,[{buffer:R,type:e.FLOAT,size:3}]),N=new n(e,y,r,i,a,o,d,p,b,k,x,w,M,A,T,L,S,E,C,z,O,D,I,P,j,R,F);return N.update(t),N}var p=t(\"gl-shader\"),m=t(\"gl-buffer\"),g=t(\"gl-vao\"),v=t(\"gl-texture2d\"),y=t(\"normals\"),b=t(\"gl-mat4/multiply\"),x=t(\"gl-mat4/invert\"),_=t(\"ndarray\"),w=t(\"colormap\"),M=t(\"simplicial-complex-contour\"),k=t(\"typedarray-pool\"),A=t(\"./lib/shaders\"),T=t(\"./lib/closest-point\"),S=A.meshShader,E=A.wireShader,L=A.pointShader,C=A.pickShader,z=A.pointPickShader,D=A.contourShader,I=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],P=n.prototype;P.isOpaque=function(){return this.opacity>=1},P.isTransparent=function(){return this.opacity<1},P.pickSlots=1,P.setPickBase=function(t){this.pickId=t},P.highlight=function(t){if(!t||!this.contourEnable)return void(this.contourCount=0);for(var e=M(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=k.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var u=r[l],c=0;c<2;++c){var h=u[0];2===u.length&&(h=u[c]);for(var f=n[h][0],d=n[h][1],p=i[h],m=1-p,g=this.positions[f],v=this.positions[d],y=0;y<3;++y)o[s++]=p*g[y]+m*v[y]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),k.free(o)},P.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=v(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(i(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var s=[],l=[],u=[],c=[],h=[],f=[],d=[],p=[],m=[],g=[],b=[],x=[],_=[],w=[];this.cells=r,this.positions=n;var M=t.vertexNormals,k=t.cellNormals,A=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,T=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!k&&(k=y.faceNormals(r,n,T)),k||M||(M=y.vertexNormals(r,n,A))\n",
       ";var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,z=t.vertexIntensity,D=t.cellUVs,I=t.cellIntensity,P=1/0,O=-1/0;if(!C&&!D)if(z)for(var j=0;j<z.length;++j){var R=z[j];P=Math.min(P,R),O=Math.max(O,R)}else if(I)for(var j=0;j<I.length;++j){var R=I[j];P=Math.min(P,R),O=Math.max(O,R)}else for(var j=0;j<n.length;++j){var R=n[j][2];P=Math.min(P,R),O=Math.max(O,R)}this.intensity=z||(I?a(r,n.length,I):o(n));var F=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(var j=0;j<n.length;++j)for(var B=n[j],U=0;U<3;++U)!isNaN(B[U])&&isFinite(B[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],B[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],B[U]));var V=0,H=0,q=0;t:for(var j=0;j<r.length;++j){var G=r[j];switch(G.length){case 1:for(var Y=G[0],B=n[Y],U=0;U<3;++U)if(isNaN(B[U])||!isFinite(B[U]))continue t;g.push(B[0],B[1],B[2]);var W;W=S?S[Y]:E?E[j]:L,3===W.length?b.push(W[0],W[1],W[2],1):b.push(W[0],W[1],W[2],W[3]);var X;X=C?C[Y]:z?[(z[Y]-P)/(O-P),0]:D?D[j]:I?[(I[j]-P)/(O-P),0]:[(B[2]-P)/(O-P),0],x.push(X[0],X[1]),F?_.push(F[Y]):_.push(N),w.push(j),q+=1;break;case 2:for(var U=0;U<2;++U)for(var Y=G[U],B=n[Y],Z=0;Z<3;++Z)if(isNaN(B[Z])||!isFinite(B[Z]))continue t;for(var U=0;U<2;++U){var Y=G[U],B=n[Y];f.push(B[0],B[1],B[2]);var W;W=S?S[Y]:E?E[j]:L,3===W.length?d.push(W[0],W[1],W[2],1):d.push(W[0],W[1],W[2],W[3]);var X;X=C?C[Y]:z?[(z[Y]-P)/(O-P),0]:D?D[j]:I?[(I[j]-P)/(O-P),0]:[(B[2]-P)/(O-P),0],p.push(X[0],X[1]),m.push(j)}H+=1;break;case 3:for(var U=0;U<3;++U)for(var Y=G[U],B=n[Y],Z=0;Z<3;++Z)if(isNaN(B[Z])||!isFinite(B[Z]))continue t;for(var U=0;U<3;++U){var Y=G[U],B=n[Y];s.push(B[0],B[1],B[2]);var W;W=S?S[Y]:E?E[j]:L,3===W.length?l.push(W[0],W[1],W[2],1):l.push(W[0],W[1],W[2],W[3]);var X;X=C?C[Y]:z?[(z[Y]-P)/(O-P),0]:D?D[j]:I?[(I[j]-P)/(O-P),0]:[(B[2]-P)/(O-P),0],c.push(X[0],X[1]);var J;J=M?M[Y]:k[j],u.push(J[0],J[1],J[2]),h.push(j)}V+=1}}this.pointCount=q,this.edgeCount=H,this.triangleCount=V,this.pointPositions.update(g),this.pointColors.update(b),this.pointUVs.update(x),this.pointSizes.update(_),this.pointIds.update(new Uint32Array(w)),this.edgePositions.update(f),this.edgeColors.update(d),this.edgeUVs.update(p),this.edgeIds.update(new Uint32Array(m)),this.trianglePositions.update(s),this.triangleColors.update(l),this.triangleUVs.update(c),this.triangleNormals.update(u),this.triangleIds.update(new Uint32Array(h))}},P.drawTransparent=P.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||I,n=t.view||I,i=t.projection||I,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,contourColor:this.contourColor,texture:0};this.texture.bind(0);var l=new Array(16);b(l,s.view,s.model),b(l,s.projection,l),x(l,l);for(var o=0;o<3;++o)s.eyePosition[o]=l[12+o]/l[15];for(var u=l[15],o=0;o<3;++o)u+=this.lightPosition[o]*l[4*o+3];for(var o=0;o<3;++o){for(var c=l[12+o],h=0;h<3;++h)c+=l[4*h+o]*this.lightPosition[h];s.lightPosition[o]=c/u}if(this.triangleCount>0){var f=this.triShader;f.bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}if(this.edgeCount>0&&this.lineWidth>0){var f=this.lineShader;f.bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()}if(this.pointCount>0){var f=this.pointShader;f.bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()}if(this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0){var f=this.contourShader;f.bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind()}},P.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||I,n=t.view||I,i=t.projection||I,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255},l=this.pickShader;if(l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0){var l=this.pointPickShader;l.bind(),l.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()}},P.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=T(i,[t.coord[0],this._resolution[1]-t.coord[1]],this._model,this._view,this._projection,this._resolution);if(!o)return null;for(var s=o[2],l=0,a=0;a<r.length;++a)l+=s[a]*this.intensity[r[a]];return{position:o[1],index:r[o[0]],cell:r,cellId:e,intensity:l,dataCoordinate:this.positions[r[o[0]]]}},P.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},e.exports=d},{\"./lib/closest-point\":187,\"./lib/shaders\":188,colormap:92,\"gl-buffer\":141,\"gl-mat4/invert\":165,\"gl-mat4/multiply\":167,\"gl-shader\":239,\"gl-texture2d\":251,\"gl-vao\":255,ndarray:449,normals:451,\"simplicial-complex-contour\":498,\"typedarray-pool\":521}],190:[function(t,e,r){\"use strict\";function n(t,e,r){this.plot=t,this.vbo=e,this.shader=r}function i(t){var e=t.gl;return new n(t,a(e,[0,0,0,1,1,0,1,1]),o(e,s.boxVert,s.lineFrag))}e.exports=i;var a=t(\"gl-buffer\"),o=t(\"gl-shader\"),s=t(\"./shaders\"),l=n.prototype;l.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},l.drawBox=function(){var t=[0,0],e=[0,0];return function(r,n,i,a,o){var s=this.plot,l=this.shader,u=s.gl;t[0]=r,t[1]=n,e[0]=i,e[1]=a,l.uniforms.lo=t,l.uniforms.hi=e,l.uniforms.color=o,u.drawArrays(u.TRIANGLE_STRIP,0,4)}}(),l.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":193,\"gl-buffer\":141,\"gl-shader\":196}],191:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function i(t,e){return t-e}function a(t){var e=t.gl;return new n(t,o(e),s(e,u.gridVert,u.gridFrag),s(e,u.tickVert,u.gridFrag))}e.exports=a;var o=t(\"gl-buffer\"),s=t(\"gl-shader\"),l=t(\"binary-search-bounds\"),u=t(\"./shaders\"),c=n.prototype;c.draw=function(){var t=[0,0],e=[0,0],r=[0,0];return function(){for(var n=this.plot,i=this.vbo,a=this.shader,o=this.ticks,s=n.gl,l=n._tickBounds,u=n.dataBox,c=n.viewBox,h=n.gridLineWidth,f=n.gridLineColor,d=n.gridLineEnable,p=n.pixelRatio,m=0;m<2;++m){var g=l[m],v=l[m+2],y=v-g,b=.5*(u[m+2]+u[m]),x=u[m+2]-u[m];e[m]=2*y/x,t[m]=2*(g-b)/x}a.bind(),i.bind(),a.attributes.dataCoord.pointer(),a.uniforms.dataShift=t,a.uniforms.dataScale=e;for(var _=0,m=0;m<2;++m){r[0]=r[1]=0,r[m]=1,a.uniforms.dataAxis=r,a.uniforms.lineWidth=h[m]/(c[m+2]-c[m])*p,a.uniforms.color=f[m];var w=6*o[m].length;d[m]&&w&&s.drawArrays(s.TRIANGLES,_,w),_+=w}}}(),c.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],a=[0,0],o=[0,0];return function(){for(var s=this.plot,u=this.vbo,c=this.tickShader,h=this.ticks,f=s.gl,d=s._tickBounds,p=s.dataBox,m=s.viewBox,g=s.pixelRatio,v=s.screenBox,y=v[2]-v[0],b=v[3]-v[1],x=m[2]-m[0],_=m[3]-m[1],w=0;w<2;++w){var M=d[w],k=d[w+2],A=k-M,T=.5*(p[w+2]+p[w]),S=p[w+2]-p[w];e[w]=2*A/S,t[w]=2*(M-T)/S}e[0]*=x/y,t[0]*=x/y,e[1]*=_/b,t[1]*=_/b,c.bind(),u.bind(),c.attributes.dataCoord.pointer();var E=c.uniforms;E.dataShift=t,E.dataScale=e;var L=s.tickMarkLength,C=s.tickMarkWidth,z=s.tickMarkColor,D=6*h[0].length,I=Math.min(l.ge(h[0],(p[0]-d[0])/(d[2]-d[0]),i),h[0].length),P=Math.min(l.gt(h[0],(p[2]-d[0])/(d[2]-d[0]),i),h[0].length),O=0+6*I,j=6*Math.max(0,P-I),R=Math.min(l.ge(h[1],(p[1]-d[1])/(d[3]-d[1]),i),h[1].length),F=Math.min(l.gt(h[1],(p[3]-d[1])/(d[3]-d[1]),i),h[1].length),N=D+6*R,B=6*Math.max(0,F-R);a[0]=2*(m[0]-L[1])/y-1,a[1]=(m[3]+m[1])/b-1,o[0]=L[1]*g/y,o[1]=C[1]*g/b,B&&(E.color=z[1],E.tickScale=o,E.dataAxis=n,E.screenOffset=a,f.drawArrays(f.TRIANGLES,N,B)),a[0]=(m[2]+m[0])/y-1,a[1]=2*(m[1]-L[0])/b-1,o[0]=C[0]*g/y,o[1]=L[0]*g/b,j&&(E.color=z[0],E.tickScale=o,E.dataAxis=r,E.screenOffset=a,f.drawArrays(f.TRIANGLES,O,j)),a[0]=2*(m[2]+L[3])/y-1,a[1]=(m[3]+m[1])/b-1,o[0]=L[3]*g/y,o[1]=C[3]*g/b,B&&(E.color=z[3],E.tickScale=o,E.dataAxis=n,E.screenOffset=a,f.drawArrays(f.TRIANGLES,N,B)),a[0]=(m[2]+m[0])/y-1,a[1]=2*(m[3]+L[2])/b-1,o[0]=C[2]*g/y,o[1]=L[2]*g/b,j&&(E.color=z[2],E.tickScale=o,E.dataAxis=r,E.screenOffset=a,f.drawArrays(f.TRIANGLES,O,j))}}(),c.update=function(){var 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t=[0,0],e=[0,0];return function(r,n,i,a,o,s){var l=this.plot,u=this.shader,c=l.gl;t[0]=r,t[1]=n,e[0]=i,e[1]=a,u.uniforms.start=t,u.uniforms.end=e,u.uniforms.width=o*l.pixelRatio,u.uniforms.color=s,c.drawArrays(c.TRIANGLE_STRIP,0,4)}}(),l.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":193,\"gl-buffer\":141,\"gl-shader\":196}],193:[function(t,e,r){\"use strict\";var n=\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\";e.exports={lineVert:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * 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a=t(\"gl-buffer\"),o=t(\"gl-shader\"),s=t(\"text-cache\"),l=t(\"binary-search-bounds\"),u=t(\"./shaders\"),c=n.prototype;c.drawTicks=function(){var t=[0,0],e=[0,0],r=[0,0];return function(n){var i=this.plot,a=this.shader,o=this.tickX[n],s=this.tickOffset[n],u=i.gl,c=i.viewBox,h=i.dataBox,f=i.screenBox,d=i.pixelRatio,p=i.tickEnable,m=i.tickPad,g=i.tickColor,v=i.tickAngle,y=i.labelEnable,b=i.labelPad,x=i.labelColor,_=i.labelAngle,w=this.labelOffset[n],M=this.labelCount[n],k=l.lt(o,h[n]),A=l.le(o,h[n+2]);t[0]=t[1]=0,t[n]=1,e[n]=(c[2+n]+c[n])/(f[2+n]-f[n])-1;var T=2/f[2+(1^n)]-f[1^n];e[1^n]=T*c[1^n]-1,p[n]&&(e[1^n]-=T*d*m[n],k<A&&s[A]>s[k]&&(a.uniforms.dataAxis=t,a.uniforms.screenOffset=e,a.uniforms.color=g[n],a.uniforms.angle=v[n],u.drawArrays(u.TRIANGLES,s[k],s[A]-s[k]))),y[n]&&M&&(e[1^n]-=T*d*b[n],a.uniforms.dataAxis=r,a.uniforms.screenOffset=e,a.uniforms.color=x[n],a.uniforms.angle=_[n],u.drawArrays(u.TRIANGLES,w,M)),e[1^n]=T*c[2+(1^n)]-1,p[n+2]&&(e[1^n]+=T*d*m[n+2],k<A&&s[A]>s[k]&&(a.uniforms.dataAxis=t,a.uniforms.screenOffset=e,a.uniforms.color=g[n+2],a.uniforms.angle=v[n+2],u.drawArrays(u.TRIANGLES,s[k],s[A]-s[k]))),y[n+2]&&M&&(e[1^n]+=T*d*b[n+2],a.uniforms.dataAxis=r,a.uniforms.screenOffset=e,a.uniforms.color=x[n+2],a.uniforms.angle=_[n+2],u.drawArrays(u.TRIANGLES,w,M))}}(),c.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,u=r.pixelRatio;if(this.titleCount){for(var 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t=this.gl.lastAttribCount,e=0;e<t;e++)this.gl.disableVertexAttribArray(e);this.gl.lastAttribCount=0,this._fref&&this._fref.dispose(),this._vref&&this._vref.dispose(),this.attributes=this.types=this.vertShader=this.fragShader=this.program=this._relink=this._fref=this._vref=null},f.update=function(t,e,r,n){function a(){d.program=u.program(p,d._vref,d._fref,_,w);for(var t=0;t<r.length;++t)E[t]=p.getUniformLocation(d.program,r[t].name)}if(!e||1===arguments.length){var f=t;t=f.vertex,e=f.fragment,r=f.uniforms,n=f.attributes}var d=this,p=d.gl,m=d._vref;d._vref=u.shader(p,p.VERTEX_SHADER,t),m&&m.dispose(),d.vertShader=d._vref.shader;var g=this._fref;if(d._fref=u.shader(p,p.FRAGMENT_SHADER,e),g&&g.dispose(),d.fragShader=d._fref.shader,!r||!n){var v=p.createProgram();if(p.attachShader(v,d.fragShader),p.attachShader(v,d.vertShader),p.linkProgram(v),!p.getProgramParameter(v,p.LINK_STATUS)){var y=p.getProgramInfoLog(v);throw new h(y,\"Error linking 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gl.vertexAttrib\"+a+\"fv(v,x0)}\");var h=Function.apply(null,l),f=new n(t,e,r,i,a,h);Object.defineProperty(o,s,{set:function(e){return t.disableVertexAttribArray(i[r]),h(t,i[r],e),e},get:function(){return f},enumerable:!0})}function a(t,e,r,n,a,o,s){for(var l=new Array(a),u=new Array(a),c=0;c<a;++c)i(t,e,r[c],n,a,l,c),u[c]=l[c];Object.defineProperty(l,\"location\",{set:function(t){if(Array.isArray(t))for(var e=0;e<a;++e)u[e].location=t[e];else for(var e=0;e<a;++e)u[e].location=t+e;return t},get:function(){for(var t=new Array(a),e=0;e<a;++e)t[e]=n[r[e]];return t},enumerable:!0}),l.pointer=function(e,i,o,s){e=e||t.FLOAT,i=!!i,o=o||a*a,s=s||0;for(var l=0;l<a;++l){var u=n[r[l]];t.vertexAttribPointer(u,a,e,i,o,s+l*a),t.enableVertexAttribArray(u)}};var h=new Array(a),f=t[\"vertexAttrib\"+a+\"fv\"];Object.defineProperty(o,s,{set:function(e){for(var i=0;i<a;++i){var o=n[r[i]];if(t.disableVertexAttribArray(o),Array.isArray(e[0]))f.call(t,o,e[i]);else{for(var 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n=t.createShader(e);if(t.shaderSource(n,r),t.compileShader(n),!t.getShaderParameter(n,t.COMPILE_STATUS)){var i=t.getShaderInfoLog(n);try{var a=h(i,r,e)}catch(t){throw console.warn(\"Failed to format compiler error: \"+t),new c(i,\"Error compiling shader:\\n\"+i)}throw new c(i,a.short,a.long)}return n}function o(t,e,r,n,i){var a=t.createProgram();t.attachShader(a,e),t.attachShader(a,r);for(var o=0;o<n.length;++o)t.bindAttribLocation(a,i[o],n[o]);if(t.linkProgram(a),!t.getProgramParameter(a,t.LINK_STATUS)){var s=t.getProgramInfoLog(a);throw new c(s,\"Error linking program: \"+s)}return a}function s(t){var e=d.get(t);return e||(e=new i(t),d.set(t,e)),e}function l(t,e,r){return s(t).getShaderReference(e,r)}function u(t,e,r,n,i){return s(t).getProgram(e,r,n,i)}r.shader=l,r.program=u;var c=t(\"./GLError\"),h=t(\"gl-format-compiler-error\"),f=\"undefined\"==typeof WeakMap?t(\"weakmap-shim\"):WeakMap,d=new f,p=0;n.prototype.dispose=function(){if(0==--this.count){for(var t=this.cache,e=t.gl,r=this.programs,n=0,i=r.length;n<i;++n){var a=t.programs[r[n]];a&&(delete t.programs[n],e.deleteProgram(a))}e.deleteShader(this.shader),delete t.shaders[this.type===e.FRAGMENT_SHADER|0][this.src]}};var m=i.prototype;m.getShaderReference=function(t,e){var r=this.gl,i=this.shaders[t===r.FRAGMENT_SHADER|0],o=i[e];if(o&&r.isShader(o.shader))o.count+=1;else{var s=a(r,t,e);o=i[e]=new n(p++,e,t,s,[],1,this)}return o},m.getProgram=function(t,e,r,n){var i=[t.id,e.id,r.join(\":\"),n.join(\":\")].join(\"@\"),a=this.programs[i];return a&&this.gl.isProgram(a)||(this.programs[i]=a=o(this.gl,t.shader,e.shader,r,n),t.programs.push(i),e.programs.push(i)),a}},{\"./GLError\":197,\"gl-format-compiler-error\":149,\"weakmap-shim\":542}],203:[function(t,e,r){\"use strict\";function 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t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var u=this.borderColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT),t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var c=this.backgroundColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var h=this.zeroLineEnable,f=this.zeroLineColor,d=this.zeroLineWidth;if(h[0]||h[1]){o.bind();for(var p=0;p<2;++p)if(h[p]&&n[p]<=0&&n[p+2]>=0){var m=e[p]-n[p]*(e[p+2]-e[p])/(n[p+2]-n[p]);0===p?o.drawLine(m,e[1],m,e[3],d[p],f[p]):o.drawLine(e[0],m,e[2],m,d[p],f[p])}}for(var p=0;p<l.length;++p)l[p].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,v=this.borderLineWidth,y=this.borderLineColor;g[1]&&o.drawLine(r[0],r[1]-.5*v[1]*i,r[0],r[3]+.5*v[3]*i,v[1],y[1]),g[0]&&o.drawLine(r[0]-.5*v[0]*i,r[1],r[2]+.5*v[2]*i,r[1],v[0],y[0]),\n",
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e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},f.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},f.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},f.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]);this.screenBox;this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,o=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/o,10,10/o]),this.borderColor=(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=i(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=i(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=i(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t&&!t.titleEnable),this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=i(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=i(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=i(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var s=t.ticks||[[],[]],l=this._tickBounds;l[0]=l[1]=1/0,l[2]=l[3]=-1/0;for(var u=0;u<2;++u){var c=s[u].slice(0);0!==c.length&&(c.sort(a),l[u]=Math.min(l[u],c[0].x),l[u+2]=Math.max(l[u+2],c[c.length-1].x))}this.grid.update({bounds:l,ticks:s}),this.text.update({bounds:l,ticks:s,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\"}),this.static=!!t.static,this.setDirty()},f.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();this.objects.length=0;for(var t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},f.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},f.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},f.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},f.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},{\"./lib/box\":190,\"./lib/grid\":191,\"./lib/line\":192,\"./lib/text\":194,\"gl-select-static\":238}],204:[function(t,e,r){var n=t(\"gl-shader\");e.exports=function(t){return n(t,\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\",\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\",null,[{name:\"position\",type:\"vec2\"}])}},{\"gl-shader\":239}],205:[function(t,e,r){\"use strict\";function n(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function i(t,e){var r=null;try{r=t.getContext(\"webgl\",e),r||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}function a(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){var r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function o(t){return\"boolean\"!=typeof t||t}function s(t){function e(){if(!w&&G.autoResize){var t=M.parentNode,e=1,r=1;t&&t!==document.body?(e=t.clientWidth,r=t.clientHeight):(e=window.innerWidth,r=window.innerHeight);var n=0|Math.ceil(e*G.pixelRatio),i=0|Math.ceil(r*G.pixelRatio);if(n!==M.width||i!==M.height){M.width=n,M.height=i;var a=M.style;a.position=a.position||\"absolute\",a.left=\"0px\",a.top=\"0px\",a.width=e+\"px\",a.height=r+\"px\",N=!0}}}function r(){for(var t=O.length,e=F.length,r=0;r<e;++r)R[r]=0;t:for(var r=0;r<t;++r){var n=O[r],i=n.pickSlots;if(i){for(var a=0;a<e;++a)if(R[a]+i<255){j[r]=a,n.setPickBase(R[a]+1),R[a]+=i;continue t}var o=f(A,q);j[r]=e,F.push(o),R.push(i),n.setPickBase(1),e+=1}else j[r]=-1}for(;e>0&&0===R[e-1];)R.pop(),F.pop().dispose()}function s(){if(G.contextLost)return!0;A.isContextLost()&&(G.contextLost=!0,G.mouseListener.enabled=!1,G.selection.object=null,G.oncontextloss&&G.oncontextloss())}function b(){if(!s()){A.colorMask(!0,!0,!0,!0),A.depthMask(!0),A.disable(A.BLEND),A.enable(A.DEPTH_TEST);for(var t=O.length,e=F.length,r=0;r<e;++r){var n=F[r];n.shape=Y,n.begin();for(var i=0;i<t;++i)if(j[i]===r){var a=O[i];a.drawPick&&(a.pixelRatio=1,a.drawPick(H))}n.end()}}}function x(){if(!s()){e();var t=G.camera.tick();H.view=G.camera.matrix,N=N||t,B=B||t,D.pixelRatio=G.pixelRatio,P.pixelRatio=G.pixelRatio;var r=O.length,n=Z[0],i=Z[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<r;++o){var l=O[o];l.pixelRatio=G.pixelRatio,l.axes=G.axes,N=N||!!l.dirty,B=B||!!l.dirty;var u=l.bounds;if(u)for(var h=u[0],f=u[1],d=0;d<3;++d)n[d]=Math.min(n[d],h[d]),i[d]=Math.max(i[d],f[d])}var m=G.bounds;if(G.autoBounds)for(var d=0;d<3;++d){if(i[d]<n[d])n[d]=-1,i[d]=1;else{n[d]===i[d]&&(n[d]-=1,i[d]+=1);var v=.05*(i[d]-n[d]);n[d]=n[d]-v,i[d]=i[d]+v}m[0][d]=n[d],m[1][d]=i[d]}for(var y=!1,d=0;d<3;++d)y=y||J[0][d]!==m[0][d]||J[1][d]!==m[1][d],J[0][d]=m[0][d],J[1][d]=m[1][d];if(B=B||y,N=N||y){if(y){for(var x=[0,0,0],o=0;o<3;++o)x[o]=a((m[1][o]-m[0][o])/10);D.autoTicks?D.update({bounds:m,tickSpacing:x}):D.update({bounds:m})}var _=A.drawingBufferWidth,w=A.drawingBufferHeight;q[0]=_,q[1]=w,Y[0]=0|Math.max(_/G.pixelRatio,1),Y[1]=0|Math.max(w/G.pixelRatio,1),g(U,G.fovy,_/w,G.zNear,G.zFar);for(var o=0;o<16;++o)V[o]=0;V[15]=1;for(var M=0,o=0;o<3;++o)M=Math.max(M,m[1][o]-m[0][o]);for(var o=0;o<3;++o)G.autoScale?V[5*o]=G.aspect[o]/(m[1][o]-m[0][o]):V[5*o]=1/M,G.autoCenter&&(V[12+o]=.5*-V[5*o]*(m[0][o]+m[1][o]));for(var o=0;o<r;++o){var l=O[o];l.axesBounds=m,G.clipToBounds&&(l.clipBounds=m)}S.object&&(G.snapToData?P.position=S.dataCoordinate:P.position=S.dataPosition,P.bounds=m),B&&(B=!1,b()),G.axesPixels=c(G.axes,H,_,w),G.onrender&&G.onrender(),A.bindFramebuffer(A.FRAMEBUFFER,null),A.viewport(0,0,_,w);var k=G.clearColor;A.clearColor(k[0],k[1],k[2],k[3]),A.clear(A.COLOR_BUFFER_BIT|A.DEPTH_BUFFER_BIT),A.depthMask(!0),A.colorMask(!0,!0,!0,!0),A.enable(A.DEPTH_TEST),A.depthFunc(A.LEQUAL),A.disable(A.BLEND),A.disable(A.CULL_FACE);var T=!1;D.enable&&(T=T||D.isTransparent(),D.draw(H)),P.axes=D,S.object&&P.draw(H),A.disable(A.CULL_FACE);for(var o=0;o<r;++o){var l=O[o];l.axes=D,l.pixelRatio=G.pixelRatio,l.isOpaque&&l.isOpaque()&&l.draw(H),l.isTransparent&&l.isTransparent()&&(T=!0)}if(T){E.shape=q,E.bind(),A.clear(A.DEPTH_BUFFER_BIT),A.colorMask(!1,!1,!1,!1),A.depthMask(!0),A.depthFunc(A.LESS),D.enable&&D.isTransparent()&&D.drawTransparent(H);for(var o=0;o<r;++o){var l=O[o];l.isOpaque&&l.isOpaque()&&l.draw(H)}A.enable(A.BLEND),A.blendEquation(A.FUNC_ADD),A.blendFunc(A.ONE,A.ONE_MINUS_SRC_ALPHA),A.colorMask(!0,!0,!0,!0),A.depthMask(!1),A.clearColor(0,0,0,0),A.clear(A.COLOR_BUFFER_BIT),D.isTransparent()&&D.drawTransparent(H);for(var o=0;o<r;++o){var l=O[o];l.isTransparent&&l.isTransparent()&&l.drawTransparent(H)}A.bindFramebuffer(A.FRAMEBUFFER,null),A.blendFunc(A.ONE,A.ONE_MINUS_SRC_ALPHA),A.disable(A.DEPTH_TEST),L.bind(),E.color[0].bind(0),L.uniforms.accumBuffer=0,p(A),A.disable(A.BLEND)}N=!1;for(var o=0;o<r;++o)O[o].dirty=!1}}}function _(){w||G.contextLost||(requestAnimationFrame(_),x())}t=t||{};var w=!1,M=(t.pixelRatio||parseFloat(window.devicePixelRatio),t.canvas);if(!M)if(M=document.createElement(\"canvas\"),t.container){var k=t.container;k.appendChild(M)}else document.body.appendChild(M);var A=t.gl;if(A||(A=i(M,t.glOptions||{premultipliedAlpha:!0,antialias:!0})),!A)throw new Error(\"webgl not supported\");var T=t.bounds||[[-10,-10,-10],[10,10,10]],S=new n,E=d(A,[A.drawingBufferWidth,A.drawingBufferHeight],{preferFloat:!y}),L=v(A),C=t.camera||{eye:[2,0,0],center:[0,0,0],up:[0,1,0],zoomMin:.1,zoomMax:100,mode:\"turntable\"},z=t.axes||{},D=u(A,z);D.enable=!z.disable;var I=t.spikes||{},P=h(A,I),O=[],j=[],R=[],F=[],N=!0,B=!0,U=new Array(16),V=new Array(16),H={view:null,projection:U,model:V},B=!0,q=[A.drawingBufferWidth,A.drawingBufferHeight],G={gl:A,contextLost:!1,pixelRatio:t.pixelRatio||parseFloat(window.devicePixelRatio),canvas:M,selection:S,camera:l(M,C),axes:D,axesPixels:null,spikes:P,bounds:T,objects:O,shape:q,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:o(t.autoResize),autoBounds:o(t.autoBounds),autoScale:!!t.autoScale,autoCenter:o(t.autoCenter),clipToBounds:o(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:H,oncontextloss:null,mouseListener:null},Y=[A.drawingBufferWidth/G.pixelRatio|0,A.drawingBufferHeight/G.pixelRatio|0];G.autoResize&&e(),window.addEventListener(\"resize\",e),G.update=function(t){w||(t=t||{},N=!0,B=!0)},G.add=function(t){w||(t.axes=D,O.push(t),j.push(-1),N=!0,B=!0,r())},G.remove=function(t){if(!w){var e=O.indexOf(t);e<0||(O.splice(e,1),j.pop(),N=!0,B=!0,r())}},G.dispose=function(){if(!w&&(w=!0,window.removeEventListener(\"resize\",e),M.removeEventListener(\"webglcontextlost\",s),G.mouseListener.enabled=!1,!G.contextLost)){D.dispose(),P.dispose();for(var t=0;t<O.length;++t)O[t].dispose();E.dispose();for(var t=0;t<F.length;++t)F[t].dispose();L.dispose(),A=null,D=null,P=null,O=[]}};var W=!1,X=0;G.mouseListener=m(M,function(t,e,r){if(!w){var n=F.length,i=O.length,a=S.object;S.distance=1/0,S.mouse[0]=e,S.mouse[1]=r,S.object=null,S.screen=null,S.dataCoordinate=S.dataPosition=null;var o=!1;if(t&&X)W=!0;else{W&&(B=!0),W=!1;for(var s=0;s<n;++s){var l=F[s].query(e,Y[1]-r-1,G.pickRadius);if(l){if(l.distance>S.distance)continue;for(var u=0;u<i;++u){var c=O[u];if(j[u]===s){var h=c.pick(l);h&&(S.buttons=t,S.screen=l.coord,S.distance=l.distance,S.object=c,S.index=h.distance,S.dataPosition=h.position,S.dataCoordinate=h.dataCoordinate,S.data=h,o=!0)}}}}}a&&a!==S.object&&(a.highlight&&a.highlight(null),N=!0),S.object&&(S.object.highlight&&S.object.highlight(S.data),N=!0),o=o||S.object!==a,o&&G.onselect&&G.onselect(S),1&t&&!(1&X)&&G.onclick&&G.onclick(S),X=t}}),M.addEventListener(\"webglcontextlost\",s);var Z=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],J=[Z[0].slice(),Z[1].slice()];return _(),G.redraw=function(){w||(N=!0,x())},G}e.exports=s;var l=t(\"3d-view-controls\"),u=t(\"gl-axes3d\"),c=t(\"gl-axes3d/properties\"),h=t(\"gl-spikes3d\"),f=t(\"gl-select-static\"),d=t(\"gl-fbo\"),p=t(\"a-big-triangle\"),m=t(\"mouse-change\"),g=t(\"gl-mat4/perspective\"),v=t(\"./lib/shader\"),y=t(\"is-mobile\")()},{\"./lib/shader\":204,\"3d-view-controls\":32,\"a-big-triangle\":34,\"gl-axes3d\":133,\"gl-axes3d/properties\":140,\"gl-fbo\":148,\"gl-mat4/perspective\":168,\"gl-select-static\":238,\"gl-spikes3d\":248,\"is-mobile\":278,\"mouse-change\":434}],206:[function(t,e,r){r.pointVertex=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\",r.pointFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\",r.pickVertex=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\",r.pickFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"},{}],207:[function(t,e,r){arguments[4][196][0].apply(r,arguments)},{\"./lib/GLError\":208,\"./lib/create-attributes\":209,\"./lib/create-uniforms\":210,\"./lib/reflect\":211,\"./lib/runtime-reflect\":212,\"./lib/shader-cache\":213,dup:196}],208:[function(t,e,r){arguments[4][197][0].apply(r,arguments)},{dup:197}],209:[function(t,e,r){arguments[4][198][0].apply(r,arguments)},{\"./GLError\":208,dup:198}],210:[function(t,e,r){arguments[4][199][0].apply(r,arguments)},{\"./GLError\":208,\"./reflect\":211,dup:199}],211:[function(t,e,r){arguments[4][200][0].apply(r,arguments)},{dup:200}],212:[function(t,e,r){arguments[4][201][0].apply(r,arguments)},{dup:201}],213:[function(t,e,r){arguments[4][202][0].apply(r,arguments)},{\"./GLError\":208,dup:202,\"gl-format-compiler-error\":149,\"weakmap-shim\":542}],214:[function(t,e,r){\"use strict\";function n(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}function i(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}function a(t,e){var r=t.gl,i=s(r),a=s(r),l=o(r,u.pointVertex,u.pointFragment),c=o(r,u.pickVertex,u.pickFragment),h=new n(t,i,a,l,c);return h.update(e),t.addObject(h),h}var o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"typedarray-pool\"),u=t(\"./lib/shader\");e.exports=a;var c=n.prototype;c.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},c.update=function(t){function e(e,r){return e in t?t[e]:r}var r;t=t||{},this.sizeMin=e(\"sizeMin\",.5),this.sizeMax=e(\"sizeMax\",20),this.color=e(\"color\",[1,0,0,1]).slice(),this.areaRatio=e(\"areaRatio\",1),this.borderColor=e(\"borderColor\",[0,0,0,1]).slice(),this.blend=e(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,a=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,o=t.positions,s=i?o:l.mallocFloat32(o.length),u=a?t.idToIndex:l.mallocInt32(n);if(i||s.set(o),!a)for(s.set(o),r=0;r<n;r++)u[r]=r;this.points=o,this.offsetBuffer.update(s),this.pickBuffer.update(u),i||l.free(s),a||l.free(u),this.pointCount=n,this.pickOffset=0},c.unifiedDraw=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=void 0!==r,a=n?this.pickShader:this.shader,o=this.plot.gl,s=this.plot.dataBox;if(0===this.pointCount)return r;var l=s[2]-s[0],u=s[3]-s[1],c=i(this.points,s),h=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(c,.33333)));t[0]=2/l,t[4]=2/u,t[6]=-2*s[0]/l-1,t[7]=-2*s[1]/u-1,this.offsetBuffer.bind(),a.bind(),a.attributes.position.pointer(),a.uniforms.matrix=t,a.uniforms.color=this.color,a.uniforms.borderColor=this.borderColor,a.uniforms.pointCloud=h<5,a.uniforms.pointSize=h,a.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),n&&(e[0]=255&r,e[1]=r>>8&255,e[2]=r>>16&255,e[3]=r>>24&255,this.pickBuffer.bind(),a.attributes.pickId.pointer(o.UNSIGNED_BYTE),a.uniforms.pickOffset=e,this.pickOffset=r);var f=o.getParameter(o.BLEND),d=o.getParameter(o.DITHER);return f&&!this.blend&&o.disable(o.BLEND),d&&o.disable(o.DITHER),o.drawArrays(o.POINTS,0,this.pointCount),f&&!this.blend&&o.enable(o.BLEND),d&&o.enable(o.DITHER),r+this.pointCount}}(),c.draw=c.unifiedDraw,c.drawPick=c.unifiedDraw,c.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},{\"./lib/shader\":206,\"gl-buffer\":141,\"gl-shader\":207,\"typedarray-pool\":521}],215:[function(t,e,r){function n(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],h=e[2],f=e[3],d=r[0],p=r[1],m=r[2],g=r[3];return a=u*d+c*p+h*m+f*g,a<0&&(a=-a,d=-d,p=-p,m=-m,g=-g),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*u+l*d,t[1]=s*c+l*p,t[2]=s*h+l*m,t[3]=s*f+l*g,t}e.exports=n},{}],216:[function(t,e,r){\"use strict\";e.exports={vertex:\"precision highp float;\\n#define GLSLIFY 1\\n\\n\\nvec4 computePosition_1_0(vec2 posHi, vec2 posLo, vec2 scHi, vec2 scLo, vec2 trHi, vec2 trLo) {\\n  return vec4((posHi + trHi) * scHi\\n  \\t\\t\\t//FIXME: this thingy does not give noticeable precision gain, need test\\n            + (posLo + trLo) * scHi\\n            + (posHi + trHi) * scLo\\n            + (posLo + trLo) * scLo\\n            , 0, 1);\\n}\\n\\n\\nattribute vec2 positionHi, positionLo;\\nattribute float size, border;\\nattribute vec2 char, color;\\n\\n//this is 64-bit form of scale and translate\\nuniform vec2 scaleHi, scaleLo, translateHi, translateLo;\\nuniform float pixelRatio;\\nuniform vec4 viewBox;\\nuniform sampler2D palette;\\n\\nvarying vec4 charColor, borderColor;\\nvarying vec2 charId;\\nvarying vec2 pointCoord;\\nvarying float pointSize;\\nvarying float borderWidth;\\n\\n\\nvoid main() {\\n  charColor = texture2D(palette, vec2(color.x / 255., 0));\\n  borderColor = texture2D(palette, vec2(color.y / 255., 0));\\n\\n  gl_PointSize = size * pixelRatio;\\n  pointSize = size * pixelRatio;\\n\\n  charId = char;\\n  borderWidth = border;\\n\\n  gl_Position = computePosition_1_0(\\n    positionHi, positionLo,\\n    scaleHi, scaleLo,\\n    translateHi, translateLo);\\n\\n  pointCoord = viewBox.xy + (viewBox.zw - viewBox.xy) * (gl_Position.xy * .5 + .5);\\n}\\n\",fragment:\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D chars;\\nuniform vec2 charsShape;\\nuniform float charsStep, pixelRatio, charOffset;\\n\\nvarying vec4 borderColor;\\nvarying vec4 charColor;\\nvarying vec2 charId;\\nvarying vec2 pointCoord;\\nvarying float pointSize;\\nvarying float borderWidth;\\n\\nvoid main() {\\n\\tvec2 pointUV = (pointCoord - gl_FragCoord.xy + pointSize * .5) / pointSize;\\n\\tpointUV.x = 1. - pointUV.x;\\n\\tpointUV.y += charOffset;\\n\\tvec2 texCoord = ((charId + pointUV) * charsStep) / charsShape;\\n\\tfloat dist = texture2D(chars, texCoord).r;\\n\\n\\t//max-distance alpha\\n\\tif (dist < 1e-2)\\n\\t\\tdiscard;\\n\\n\\tfloat dif = 5. * pixelRatio * borderWidth / pointSize;\\n\\tfloat borderLevel = .748 - dif * .5;\\n\\tfloat charLevel = .748 + dif * .5;\\n\\tfloat gamma = .005 * charsStep / pointSize;\\n\\n\\tfloat borderAmt = smoothstep(borderLevel - gamma, borderLevel + gamma, dist);\\n\\tfloat charAmt = smoothstep(charLevel - gamma, charLevel + gamma, dist);\\n\\n\\tvec4 color = borderColor;\\n\\tcolor.a *= borderAmt;\\n\\n\\tgl_FragColor = mix(color, charColor, charAmt);\\n}\\n\",pickVertex:\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 positionHi, positionLo;\\nattribute vec4 id;\\nattribute float size;\\n\\nuniform vec2 scaleHi, scaleLo, translateHi, translateLo;\\nuniform vec4 pickOffset;\\nuniform float pixelRatio;\\n\\nvarying vec4 fragColor;\\n\\n\\nvec4 computePosition_1_0(vec2 posHi, vec2 posLo, vec2 scHi, vec2 scLo, vec2 trHi, vec2 trLo) {\\n  return vec4((posHi + trHi) * scHi\\n  \\t\\t\\t//FIXME: this thingy does not give noticeable precision gain, need test\\n            + (posLo + trLo) * scHi\\n            + (posHi + trHi) * scLo\\n            + (posLo + trLo) * scLo\\n            , 0, 1);\\n}\\n\\n\\nvoid main() {\\n  vec4 fragId = id + pickOffset;\\n\\n  fragId.y += floor(fragId.x / 256.0);\\n  fragId.x -= floor(fragId.x / 256.0) * 256.0;\\n\\n  fragId.z += floor(fragId.y / 256.0);\\n  fragId.y -= floor(fragId.y / 256.0) * 256.0;\\n\\n  fragId.w += floor(fragId.z / 256.0);\\n  fragId.z -= floor(fragId.z / 256.0) * 256.0;\\n\\n  fragColor = fragId / 255.0;\\n\\n  gl_PointSize = size * .25 * pixelRatio;\\n\\n  gl_Position = computePosition_1_0(\\n    positionHi, positionLo,\\n    scaleHi, scaleLo,\\n    translateHi, translateLo);\\n}\\n\",pickFragment:\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = fragColor;\\n}\\n\"}},{}],217:[function(t,e,r){arguments[4][77][0].apply(r,arguments)},{dup:77}],218:[function(t,e,r){arguments[4][196][0].apply(r,arguments)},{\"./lib/GLError\":219,\"./lib/create-attributes\":220,\"./lib/create-uniforms\":221,\"./lib/reflect\":222,\"./lib/runtime-reflect\":223,\"./lib/shader-cache\":224,dup:196}],219:[function(t,e,r){arguments[4][197][0].apply(r,arguments)},{dup:197}],220:[function(t,e,r){arguments[4][198][0].apply(r,arguments)},{\"./GLError\":219,dup:198}],221:[function(t,e,r){arguments[4][199][0].apply(r,arguments)},{\"./GLError\":219,\"./reflect\":222,dup:199}],222:[function(t,e,r){arguments[4][200][0].apply(r,arguments)},{dup:200}],223:[function(t,e,r){arguments[4][201][0].apply(r,arguments)},{dup:201}],224:[function(t,e,r){arguments[4][202][0].apply(r,arguments)},{\"./GLError\":219,dup:202,\"gl-format-compiler-error\":149,\"weakmap-shim\":542}],225:[function(t,e,r){\"use strict\";function n(t,e,r,n,a){a<=4*f?i(0,a-1,t,e,r,n):h(0,a-1,t,e,r,n)}function i(t,e,r,n,i,a){for(var o=t+1;o<=e;++o){for(var s=r[o],l=n[2*o],u=n[2*o+1],c=i[o],h=a[o],f=o;f>t;){var d=r[f-1],p=n[2*(f-1)];if((d-s||l-p)>=0)break;r[f]=d,n[2*f]=p,n[2*f+1]=n[2*f-1],i[f]=i[f-1],a[f]=a[f-1],f-=1}r[f]=s,n[2*f]=l,n[2*f+1]=u,i[f]=c,a[f]=h}}function a(t,e,r,n,i,a){var o=r[t],s=n[2*t],l=n[2*t+1],u=i[t],c=a[t];r[t]=r[e],n[2*t]=n[2*e],n[2*t+1]=n[2*e+1],i[t]=i[e],a[t]=a[e],r[e]=o,n[2*e]=s,n[2*e+1]=l,i[e]=u,a[e]=c}function o(t,e,r,n,i,a){r[t]=r[e],n[2*t]=n[2*e],n[2*t+1]=n[2*e+1],i[t]=i[e],a[t]=a[e]}function s(t,e,r,n,i,a,o){var s=n[t],l=i[2*t],u=i[2*t+1],c=a[t],h=o[t];n[t]=n[e],i[2*t]=i[2*e],i[2*t+1]=i[2*e+1],a[t]=a[e],o[t]=o[e],n[e]=n[r],i[2*e]=i[2*r],i[2*e+1]=i[2*r+1],a[e]=a[r],o[e]=o[r],n[r]=s,i[2*r]=l,i[2*r+1]=u,a[r]=c,o[r]=h}function l(t,e,r,n,i,a,o,s,l,u,c){s[t]=s[e],l[2*t]=l[2*e],l[2*t+1]=l[2*e+1],u[t]=u[e],c[t]=c[e],s[e]=r,l[2*e]=n,l[2*e+1]=i,u[e]=a,c[e]=o}function u(t,e,r,n,i){return(r[t]-r[e]||n[2*e]-n[2*t]||i[t]-i[e])<0}function c(t,e,r,n,i,a,o,s){return(e-a[t]||o[2*t]-r||i-s[t])<0}function h(t,e,r,n,d,p){var m=(e-t+1)/6|0,g=t+m,v=e-m,y=t+e>>1,b=y-m,x=y+m,_=g,w=b,M=y,k=x,A=v,T=t+1,S=e-1,E=0;u(_,w,r,n,d,p)&&(E=_,_=w,w=E),u(k,A,r,n,d,p)&&(E=k,k=A,A=E),u(_,M,r,n,d,p)&&(E=_,_=M,M=E),u(w,M,r,n,d,p)&&(E=w,w=M,M=E),u(_,k,r,n,d,p)&&(E=_,_=k,k=E),u(M,k,r,n,d,p)&&(E=M,M=k,k=E),u(w,A,r,n,d,p)&&(E=w,w=A,A=E),u(w,M,r,n,d,p)&&(E=w,w=M,M=E),u(k,A,r,n,d,p)&&(E=k,k=A,A=E);var L=r[w],C=n[2*w],z=n[2*w+1],D=d[w],I=p[w],P=r[k],O=n[2*k],j=n[2*k+1],R=d[k],F=p[k],N=_,B=M,U=A,V=g,H=y,q=v,G=r[N],Y=r[B],W=r[U];r[V]=G,r[H]=Y,r[q]=W;for(var X=0;X<2;++X){var Z=n[2*N+X],J=n[2*B+X],Q=n[2*U+X];n[2*V+X]=Z,n[2*H+X]=J,n[2*q+X]=Q}var K=d[N],$=d[B],tt=d[U];d[V]=K,d[H]=$,d[q]=tt;var et=p[N],rt=p[B],nt=p[U];p[V]=et,p[H]=rt,p[q]=nt,o(b,t,r,n,d,p),o(x,e,r,n,d,p);for(var it=T;it<=S;++it)if(c(it,L,C,z,D,r,n,d))it!==T&&a(it,T,r,n,d,p),++T;else if(!c(it,P,O,j,R,r,n,d))for(;;){if(c(S,P,O,j,R,r,n,d)){c(S,L,C,z,D,r,n,d)?(s(it,T,S,r,n,d,p),++T,--S):(a(it,S,r,n,d,p),--S);break}if(--S<it)break}l(t,T-1,L,C,z,D,I,r,n,d,p),l(e,S+1,P,O,j,R,F,r,n,d,p),T-2-t<=f?i(t,T-2,r,n,d,p):h(t,T-2,r,n,d,p),e-(S+2)<=f?i(S+2,e,r,n,d,p):h(S+2,e,r,n,d,p),S-T<=f?i(T,S,r,n,d,p):h(T,S,r,n,d,p)}e.exports=n;var f=32},{}],226:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s){for(var l=r,u=r;u<n;++u){var c=t[2*u],h=t[2*u+1],f=e[u];i<=c&&c<=o&&a<=h&&h<=s&&(u===l?l+=1:(t[2*u]=t[2*l],t[2*u+1]=t[2*l+1],e[u]=e[l],t[2*l]=c,t[2*l+1]=h,e[l]=f,l+=1))}return l}function i(t,e,r){this.pixelSize=t,this.offset=e,this.count=r}function a(t,e,r,a){function l(i,a,o,s,u,c){var h=.5*o,f=s+1,d=u-s;r[_]=d,x[_++]=c;for(var p=0;p<2;++p)for(var m=0;m<2;++m){var g=i+p*h,v=a+m*h,y=n(t,e,f,u,g,v,g+h,v+h);if(y!==f){if(y-f>=Math.max(.9*d,32)){var b=u+s>>>1;l(g,v,h,f,b,c+1),f=b}l(g,v,h,f,y,c+1),f=y}}}var u=t.length>>>1;if(u<1)return[];for(var c=1/0,h=1/0,f=-1/0,d=-1/0,p=0;p<u;++p){var m=t[2*p],g=t[2*p+1];c=Math.min(c,m),f=Math.max(f,m),h=Math.min(h,g),d=Math.max(d,g),e[p]=p}c===f&&(f+=1+Math.abs(f)),h===d&&(d+=1+Math.abs(f));var v=1/(f-c),y=1/(d-h),b=Math.max(f-c,d-h);a=a||[0,0,0,0],a[0]=c,a[1]=h,a[2]=f,a[3]=d;var x=o.mallocInt32(u),_=0;l(c,h,b,0,u,0),s(x,t,e,r,u);for(var w=[],M=0,k=u,_=u-1;_>=0;--_){t[2*_]=(t[2*_]-c)*v,t[2*_+1]=(t[2*_+1]-h)*y;var A=x[_];A!==M&&(w.push(new i(b*Math.pow(.5,A),_+1,k-(_+1))),k=_+1,M=A)}return w.push(new i(b*Math.pow(.5,A+1),0,k)),o.free(x),w}var o=t(\"typedarray-pool\"),s=t(\"./lib/sort\");e.exports=a},{\"./lib/sort\":225,\"typedarray-pool\":521}],227:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.sizeBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.charBuffer=s,this.pointCount=0,this.pickOffset=0,this.points=null,this.scales=[],this.xCoords=[],this.charCanvas=document.createElement(\"canvas\"),this.charTexture=h(this.plot.gl,this.charCanvas),this.charStep=400,this.charOffset=.032,this.snapThreshold=1e4,this.paletteTexture=h(this.plot.gl,[256,1])}function i(t,e){var r=t.gl,i=a(r,l.vertex,l.fragment),s=a(r,l.pickVertex,l.pickFragment),u=o(r),c=o(r),h=o(r),f=o(r),d=o(r),p=new n(t,i,s,u,c,h,f,d);return p.update(e),t.addObject(p),p}e.exports=i;var a=t(\"gl-shader\"),o=t(\"gl-buffer\"),s=t(\"typedarray-pool\"),l=t(\"./lib/shaders\"),u=t(\"snap-points-2d\"),c=t(\"font-atlas-sdf\"),h=t(\"gl-texture2d\"),f=t(\"color-id\"),d=t(\"ndarray\"),p=t(\"clamp\"),m=t(\"binary-search-bounds\"),g=n.prototype;!function(){function t(){var t=this.plot,u=t.viewBox,c=t.dataBox,h=t.pixelRatio,f=c[2]-c[0],d=c[3]-c[1],p=2/f,m=2/d,g=-c[0]-.5*f,v=-c[1]-.5*d;i[0]=p,a[0]=p-i[0],i[1]=m,a[1]=m-i[1],o[0]=g,s[0]=g-o[0],o[1]=v,s[1]=v-o[1];var y=u[2]-u[0],b=u[3]-u[1];e=Math.min(f/y,d/b),l[0]=2*h/y,l[1]=2*h/b,r=c[0],n=c[2]}var e,r,n,i=new Float32Array([0,0]),a=new Float32Array([0,0]),o=new Float32Array([0,0]),s=new Float32Array([0,0]),l=[0,0],u=[0,0,0,0];g.drawPick=function(l){var c=void 0!==l,h=this.plot,f=this.pointCount,d=f>this.snapThreshold;if(!f)return l;t.call(this);var p=h.gl,g=c?this.pickShader:this.shader,v=p.isEnabled(p.BLEND);if(g.bind(),c){this.pickOffset=l;for(var y=0;y<4;++y)u[y]=l>>8*y&255;g.uniforms.pickOffset=u,this.idBuffer.bind(),g.attributes.id.pointer(p.UNSIGNED_BYTE,!1)}else p.blendFuncSeparate(p.SRC_ALPHA,p.ONE_MINUS_SRC_ALPHA,p.ONE,p.ONE_MINUS_SRC_ALPHA),p.blendColor(0,0,0,1),v||p.enable(p.BLEND),this.colorBuffer.bind(),g.attributes.color.pointer(p.UNSIGNED_BYTE,!1),this.charBuffer.bind(),g.attributes.char.pointer(p.UNSIGNED_BYTE,!1),g.uniforms.chars=this.charTexture.bind(0),g.uniforms.charsShape=[this.charCanvas.width,this.charCanvas.height],g.uniforms.charsStep=this.charStep,g.uniforms.palette=this.paletteTexture.bind(1),g.uniforms.charOffset=this.charOffset;this.sizeBuffer.bind(),g.attributes.size.pointer(p.FLOAT,!1,8,0),c||g.attributes.border.pointer(p.FLOAT,!1,8,4),this.positionBuffer.bind(),g.attributes.positionHi.pointer(p.FLOAT,!1,16,0),g.attributes.positionLo.pointer(p.FLOAT,!1,16,8),g.uniforms.pixelRatio=h.pixelRatio,g.uniforms.scaleHi=i,g.uniforms.scaleLo=a,g.uniforms.translateHi=o,g.uniforms.translateLo=s,g.uniforms.viewBox=h.viewBox;var b=this.scales;if(d)for(var x=b.length-1;x>=0;x--){var _=b[x];if(!(_.pixelSize&&_.pixelSize<1.25*e&&x>1)){var w=_.offset,M=_.count+w,k=m.ge(this.xCoords,r,w,M-1),A=m.lt(this.xCoords,n,k,M-1)+1;A>k&&p.drawArrays(p.POINTS,k,A-k)}}else p.drawArrays(p.POINTS,0,f);if(c)return l+f;v?p.blendFunc(p.ONE,p.ONE_MINUS_SRC_ALPHA):p.disable(p.BLEND)}}(),g.draw=g.drawPick,g.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}},g.update=function(t){t=t||{};var e=t.positions||[],r=t.colors||[],n=t.glyphs||[],i=t.sizes||[],a=t.borderWidths||[],o=t.borderColors||[],l=this.plot.gl;null!=t.charOffset&&(this.charOffset=t.charOffset),this.points=e;var h=this.points.length/2,m=s.mallocInt32(h),g=s.mallocFloat32(2*h),v=s.mallocFloat64(2*h);v.set(this.points),this.pointCount=h;var y=h>this.snapThreshold;y&&(this.scales=u(v,m,g));for(var b=s.mallocFloat32(4*h),x=s.mallocFloat32(2*h),_=s.mallocUint8(2*h),w=s.mallocUint32(h),M=s.mallocUint8(2*h),k={},A=[],T=[],S=[],E=0,L=h,C=0;E<L;++E){var z=[255*r[4*E],255*r[4*E+1],255*r[4*E+2],255*r[4*E+3]],D=f(z,!1);null==k[D]&&(k[D]=C++,T.push(z[0]),T.push(z[1]),T.push(z[2]),\n",
       "T.push(z[3])),A.push(D),o&&o.length&&(z=[255*o[4*E],255*o[4*E+1],255*o[4*E+2],255*o[4*E+3]],D=f(z,!1),null==k[D]&&(k[D]=C++,T.push(z[0]),T.push(z[1]),T.push(z[2]),T.push(z[3])),S.push(D))}for(var I={},E=0,L=h,C=0;E<L;E++){var P=n[E];null==I[P]&&(I[P]=C++)}for(var O=0,E=0,L=i.length;E<L;++E)i[E]>O&&(O=i[E]);var j=this.charStep;this.charStep=p(Math.ceil(4*O),128,768);var R=Object.keys(I),F=this.charStep,N=Math.floor(F/2),B=l.getParameter(l.MAX_TEXTURE_SIZE),U=B/F*(B/F),V=Math.min(B,F*R.length),H=Math.min(B,F*Math.ceil(F*R.length/B)),q=Math.floor(V/F);R.length>U&&console.warn(\"gl-scatter2d-fancy: number of characters is more than maximum texture size. Try reducing it.\"),this.chars&&this.chars+\"\"==R+\"\"&&this.charStep==j||(this.charCanvas=c({canvas:this.charCanvas,family:\"sans-serif\",size:N,shape:[V,H],step:[F,F],chars:R}),this.chars=R);for(var E=0;E<h;++E){var G=y?m[E]:E,Y=e[2*G],W=e[2*G+1],X=i[G],Z=a[G];b[4*E]=Y,b[4*E+1]=W,b[4*E+2]=Y-b[4*E],b[4*E+3]=W-b[4*E+1],this.xCoords[E]=Y,x[2*E]=2*X,x[2*E+1]=Z,w[E]=G;var D=A[G],J=k[D];_[2*E]=J;var Q=S[G],K=k[Q];_[2*E+1]=K;var P=n[G],$=I[P];M[2*E+1]=Math.floor($/q),M[2*E]=$%q}this.positionBuffer.update(b),this.sizeBuffer.update(x),this.colorBuffer.update(_),this.idBuffer.update(w),this.charBuffer.update(M),this.charTexture.shape=[this.charCanvas.width,this.charCanvas.height],this.charCanvas&&this.charCanvas.width&&this.charTexture.setPixels(this.charCanvas),this.paletteTexture.setPixels(d(T.slice(0,1024),[256,1,4])),s.free(b),s.free(x),s.free(_),s.free(w),s.free(M),s.free(v),s.free(m),s.free(g)},g.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.sizeBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.charBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":216,\"binary-search-bounds\":217,clamp:81,\"color-id\":85,\"font-atlas-sdf\":119,\"gl-buffer\":141,\"gl-shader\":218,\"gl-texture2d\":251,ndarray:449,\"snap-points-2d\":226,\"typedarray-pool\":521}],228:[function(t,e,r){r.pointVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 positionHi, positionLo;\\nattribute float weight;\\n\\nuniform vec2 scaleHi, scaleLo, translateHi, translateLo;\\nuniform float pointSize, useWeight;\\n\\nvarying float fragWeight;\\n\\n\\nvec4 pfx_1_0(vec2 scaleHi, vec2 scaleLo, vec2 translateHi, vec2 translateLo, vec2 positionHi, vec2 positionLo) {\\n  return vec4((positionHi + translateHi) * scaleHi\\n            + (positionLo + translateLo) * scaleHi\\n            + (positionHi + translateHi) * scaleLo\\n            + (positionLo + translateLo) * scaleLo, 0.0, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position = pfx_1_0(scaleHi, scaleLo, translateHi, translateLo, positionHi, positionLo);\\n  gl_PointSize = pointSize;\\n  fragWeight = mix(1.0, weight, useWeight);\\n}\",r.pointFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\n\\nvarying float fragWeight;\\n\\nfloat smoothStep(float x, float y) {\\n  return 1.0 / (1.0 + exp(50.0*(x - y)));\\n}\\n\\nvoid main() {\\n  float radius = length(2.0*gl_PointCoord.xy-1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  vec4 baseColor = mix(borderColor, color, smoothStep(radius, centerFraction));\\n  float alpha = 1.0 - pow(1.0 - baseColor.a, fragWeight);\\n  gl_FragColor = vec4(baseColor.rgb * alpha, alpha);\\n}\",r.pickVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nvec4 pfx_1_0(vec2 scaleHi, vec2 scaleLo, vec2 translateHi, vec2 translateLo, vec2 positionHi, vec2 positionLo) {\\n  return vec4((positionHi + translateHi) * scaleHi\\n            + (positionLo + translateLo) * scaleHi\\n            + (positionHi + translateHi) * scaleLo\\n            + (positionLo + translateLo) * scaleLo, 0.0, 1.0);\\n}\\n\\nattribute vec2 positionHi, positionLo;\\nattribute vec4 pickId;\\n\\nuniform vec2 scaleHi, scaleLo, translateHi, translateLo;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_Position = pfx_1_0(scaleHi, scaleLo, translateHi, translateLo, positionHi, positionLo);\\n  gl_PointSize = pointSize;\\n  fragId = id;\\n}\",r.pickFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\"},{}],229:[function(t,e,r){arguments[4][77][0].apply(r,arguments)},{dup:77}],230:[function(t,e,r){arguments[4][225][0].apply(r,arguments)},{dup:225}],231:[function(t,e,r){arguments[4][226][0].apply(r,arguments)},{\"./lib/sort\":230,dup:226,\"typedarray-pool\":521}],232:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o){this.plot=t,this.positionBufferHi=e,this.positionBufferLo=r,this.pickBuffer=n,this.weightBuffer=i,this.shader=a,this.pickShader=o,this.scales=[],this.size=12,this.borderSize=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0,this.points=null,this.xCoords=null}function i(t,e){var r=t.gl,i=o(r),s=o(r),l=o(r),u=o(r),h=a(r,c.pointVertex,c.pointFragment),f=a(r,c.pickVertex,c.pickFragment),d=new n(t,i,s,l,u,h,f);return d.update(e),t.addObject(d),d}var a=t(\"gl-shader\"),o=t(\"gl-buffer\"),s=t(\"binary-search-bounds\"),l=t(\"snap-points-2d\"),u=t(\"typedarray-pool\"),c=t(\"./lib/shader\");e.exports=i;var h=n.prototype,f=new Float32Array(2),d=new Float32Array(2),p=new Float32Array(2),m=new Float32Array(2),g=[0,0,0,0];h.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBufferHi.dispose(),this.positionBufferLo.dispose(),this.pickBuffer.dispose(),this.xCoords&&u.free(this.xCoords),this.plot.removeObject(this)},h.update=function(t){function e(e,r){return e in t?t[e]:r}t=t||{},this.size=e(\"size\",12),this.color=e(\"color\",[1,0,0,1]).slice(),this.borderSize=e(\"borderSize\",1),this.borderColor=e(\"borderColor\",[0,0,0,1]).slice(),this.xCoords&&u.free(this.xCoords),this.points=t.positions;var r=this.points.length>>>1,n=u.mallocInt32(r),i=u.mallocFloat32(2*r),a=u.mallocFloat64(2*r);a.set(this.points),this.scales=l(a,n,i,this.bounds);var o=u.mallocFloat64(r),s=u.mallocFloat32(2*r),c=u.mallocFloat32(2*r);s.set(a);for(var h=0,f=0;h<r;h++,f+=2)c[f]=a[f]-s[f],c[f+1]=a[f+1]-s[f+1],o[h]=a[f];this.positionBufferHi.update(s),this.positionBufferLo.update(c),this.pickBuffer.update(n),this.weightBuffer.update(i),u.free(n),u.free(a),u.free(s),u.free(c),u.free(i),this.xCoords=o,this.pointCount=r,this.pickOffset=0},h.draw=function(t){var e=void 0!==t,r=this.plot,n=e?this.pickShader:this.shader,i=this.scales,a=this.positionBufferHi,o=this.positionBufferLo,l=this.pickBuffer,u=this.bounds,c=this.size,h=this.borderSize,v=r.gl,y=e?r.pickPixelRatio:r.pixelRatio,b=r.viewBox,x=r.dataBox;if(0===this.pointCount)return t;var _=u[2]-u[0],w=u[3]-u[1],M=x[2]-x[0],k=x[3]-x[1],A=(b[2]-b[0])*y/r.pixelRatio,T=(b[3]-b[1])*y/r.pixelRatio,S=Math.min(M/A,k/T),E=2*_/M,L=2*w/k;f[0]=E,f[1]=L,d[0]=E-f[0],d[1]=L-f[1];var C=(u[0]-x[0]-.5*M)/_,z=(u[1]-x[1]-.5*k)/w;p[0]=C,p[1]=z,m[0]=C-p[0],m[1]=z-p[1],n.bind(),n.uniforms.scaleHi=f,n.uniforms.scaleLo=d,n.uniforms.translateHi=p,n.uniforms.translateLo=m,n.uniforms.color=this.color,n.uniforms.borderColor=this.borderColor,n.uniforms.pointSize=y*(c+h),n.uniforms.centerFraction=0===this.borderSize?2:c/(c+h+1.25),a.bind(),n.attributes.positionHi.pointer(),o.bind(),n.attributes.positionLo.pointer(),e?(this.pickOffset=t,g[0]=255&t,g[1]=t>>8&255,g[2]=t>>16&255,g[3]=t>>24&255,n.uniforms.pickOffset=g,l.bind(),n.attributes.pickId.pointer(v.UNSIGNED_BYTE)):(n.uniforms.useWeight=1,this.weightBuffer.bind(),n.attributes.weight.pointer());for(var D=this.xCoords,I=(x[0]-u[0]-S*c*y)/_,P=(x[2]-u[0]+S*c*y)/_,O=!0,j=i.length-1;j>=0;j--){var R=i[j];if(!(R.pixelSize<S&&j>1)){var F=R.offset,N=R.count+F,B=s.ge(D,I,F,N-1),U=s.lt(D,P,B,N-1)+1;U>B&&v.drawArrays(v.POINTS,B,U-B),!e&&O&&(O=!1,n.uniforms.useWeight=0)}}return t+this.pointCount},h.drawPick=h.draw,h.pick=function(t,e,r){var n=r-this.pickOffset;return n<0||n>=this.pointCount?null:{object:this,pointId:n,dataCoord:[this.points[2*n],this.points[2*n+1]]}}},{\"./lib/shader\":228,\"binary-search-bounds\":229,\"gl-buffer\":141,\"gl-shader\":239,\"snap-points-2d\":231,\"typedarray-pool\":521}],233:[function(t,e,r){\"use strict\";function n(t,e){var r=a[e];if(r||(r=a[e]={}),t in r)return r[t];for(var n=i(t,{textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e}),o=i(t,{triangles:!0,textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e}),s=[[1/0,1/0],[-1/0,-1/0]],l=0;l<n.positions.length;++l)for(var u=n.positions[l],c=0;c<2;++c)s[0][c]=Math.min(s[0][c],u[c]),s[1][c]=Math.max(s[1][c],u[c]);return r[t]=[o,n,s]}var i=t(\"vectorize-text\");e.exports=n;var a={}},{\"vectorize-text\":534}],234:[function(t,e,r){function n(t,e){var r=i(t,e),n=r.attributes;return n.position.location=0,n.color.location=1,n.glyph.location=2,n.id.location=3,r}var i=t(\"gl-shader\"),a=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if(any(lessThan(position, clipBounds[0]))   || \\n     any(greaterThan(position, clipBounds[1])) ) {\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n    \\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\",o=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if(any(lessThan(position, clipBounds[0])) || any(greaterThan(position, clipBounds[1]))) {\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n    \\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\",s=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if(any(lessThan(position, clipBounds[0]))   ||\\n     any(greaterThan(position, clipBounds[1])) ) {\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\",l=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if(any(lessThan(dataCoordinate, fragClipBounds[0]))   ||\\n     any(greaterThan(dataCoordinate, fragClipBounds[1])) ) {\\n    discard;\\n  } else {\\n    gl_FragColor = interpColor * opacity;\\n  }\\n}\\n\",u=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if(any(lessThan(dataCoordinate, fragClipBounds[0]))   || \\n     any(greaterThan(dataCoordinate, fragClipBounds[1])) ) {\\n    discard;\\n  } else {\\n    gl_FragColor = vec4(pickGroup, pickId.bgr);\\n  }\\n}\",c=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],h={vertex:a,fragment:l,attributes:c},f={vertex:o,fragment:l,attributes:c},d={vertex:s,fragment:l,attributes:c},p={vertex:a,fragment:u,attributes:c},m={vertex:o,fragment:u,attributes:c},g={vertex:s,fragment:u,attributes:c};r.createPerspective=function(t){return n(t,h)},r.createOrtho=function(t){return n(t,f)},r.createProject=function(t){return n(t,d)},r.createPickPerspective=function(t){return n(t,p)},r.createPickOrtho=function(t){return n(t,m)},r.createPickProject=function(t){return n(t,g)}},{\"gl-shader\":239}],235:[function(t,e,r){\"use strict\";function n(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function i(t,e,r,i){return n(i,i,r),n(i,i,e),n(i,i,t)}function a(t,e){this.index=t,this.dataCoordinate=this.position=e}function o(t,e,r,n,i,o,s,l,u,c,h,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=o,this.glyphBuffer=s,this.idBuffer=l,this.vao=u,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=h,this.pickProjectShader=f,this.points=[],this._selectResult=new a(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}function s(t){return t[0]=t[1]=t[2]=0,t}function l(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function u(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function c(t){for(var e=L,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}function h(t,e,r,n,a){var o,h=e.axesProject,f=e.gl,d=t.uniforms,p=r.model||x,m=r.view||x,g=r.projection||x,y=e.axesBounds,b=c(e.clipBounds);o=e.axes?e.axes.lastCubeProps.axis:[1,1,1],w[0]=2/f.drawingBufferWidth,w[1]=2/f.drawingBufferHeight,t.bind(),d.view=m,d.projection=g,d.screenSize=w,d.highlightId=e.highlightId,d.highlightScale=e.highlightScale,d.clipBounds=b,d.pickGroup=e.pickId/255,d.pixelRatio=e.pixelRatio;for(var _=0;_<3;++_)if(h[_]&&e.projectOpacity[_]<1===n){d.scale=e.projectScale[_],d.opacity=e.projectOpacity[_];for(var L=S,C=0;C<16;++C)L[C]=0;for(var C=0;C<4;++C)L[5*C]=1;L[5*_]=0,o[_]<0?L[12+_]=y[0][_]:L[12+_]=y[1][_],v(L,p,L),d.model=L;var z=(_+1)%3,D=(_+2)%3,I=s(M),P=s(k);I[z]=1,P[D]=1;var O=i(g,m,p,l(A,I)),j=i(g,m,p,l(T,P));if(Math.abs(O[1])>Math.abs(j[1])){var R=O;O=j,j=R,R=I,I=P,P=R;var F=z;z=D,D=F}O[0]<0&&(I[z]=-1),j[1]>0&&(P[D]=-1);for(var N=0,B=0,C=0;C<4;++C)N+=Math.pow(p[4*z+C],2),B+=Math.pow(p[4*D+C],2);I[z]/=Math.sqrt(N),P[D]/=Math.sqrt(B),d.axes[0]=I,d.axes[1]=P,d.fragClipBounds[0]=u(E,b[0],_,-1e8),d.fragClipBounds[1]=u(E,b[1],_,1e8),e.vao.draw(f.TRIANGLES,e.vertexCount),e.lineWidth>0&&(f.lineWidth(e.lineWidth),e.vao.draw(f.LINES,e.lineVertexCount,e.vertexCount))}}function f(t,e,r,n,i,a){var o=r.gl;if(r.vao.bind(),i===r.opacity<1||a){t.bind();var s=t.uniforms;s.model=n.model||x,s.view=n.view||x,s.projection=n.projection||x,w[0]=2/o.drawingBufferWidth,w[1]=2/o.drawingBufferHeight,s.screenSize=w,s.highlightId=r.highlightId,s.highlightScale=r.highlightScale,s.fragClipBounds=D,s.clipBounds=r.axes.bounds,s.opacity=r.opacity,s.pickGroup=r.pickId/255,s.pixelRatio=r.pixelRatio,r.vao.draw(o.TRIANGLES,r.vertexCount),r.lineWidth>0&&(o.lineWidth(r.lineWidth),r.vao.draw(o.LINES,r.lineVertexCount,r.vertexCount))}h(e,r,n,i,a),r.vao.unbind()}function d(t){var e=t.gl,r=y.createPerspective(e),n=y.createOrtho(e),i=y.createProject(e),a=y.createPickPerspective(e),s=y.createPickOrtho(e),l=y.createPickProject(e),u=p(e),c=p(e),h=p(e),f=p(e),d=m(e,[{buffer:u,size:3,type:e.FLOAT},{buffer:c,size:4,type:e.FLOAT},{buffer:h,size:2,type:e.FLOAT},{buffer:f,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),g=new o(e,r,n,i,u,c,h,f,d,a,s,l);return g.update(t),g}var p=t(\"gl-buffer\"),m=t(\"gl-vao\"),g=t(\"typedarray-pool\"),v=t(\"gl-mat4/multiply\"),y=t(\"./lib/shaders\"),b=t(\"./lib/glyphs\"),x=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];e.exports=d;var _=o.prototype;_.pickSlots=1,_.setPickBase=function(t){this.pickId=t},_.isTransparent=function(){if(this.opacity<1)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectOpacity[t]<1)return!0;return!1},_.isOpaque=function(){if(this.opacity>=1)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectOpacity[t]>=1)return!0;return!1};var w=[0,0],M=[0,0,0],k=[0,0,0],A=[0,0,0,1],T=[0,0,0,1],S=x.slice(),E=[0,0,0],L=[[0,0,0],[0,0,0]],C=[-1e8,-1e8,-1e8],z=[1e8,1e8,1e8],D=[C,z];_.draw=function(t){f(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,!1,!1)},_.drawTransparent=function(t){f(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,!0,!1)},_.drawPick=function(t){f(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,!1,!0)},_.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},_.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},_.update=function(t){if(t=t||{},\"perspective\"in t&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(\"projectOpacity\"in t)if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{var r=+t.projectOpacity;this.projectOpacity=[r,r,r]}\"opacity\"in t&&(this.opacity=t.opacity),this.dirty=!0;var n=t.position;if(n){var i=t.font||\"normal\",a=t.alignment||[0,0],o=[1/0,1/0,1/0],s=[-1/0,-1/0,-1/0],l=t.glyph,u=t.color,c=t.size,h=t.angle,f=t.lineColor,d=0,p=0,m=0,v=n.length;t:for(var y=0;y<v;++y){for(var x=n[y],_=0;_<3;++_)if(isNaN(x[_])||!isFinite(x[_]))continue t;var w;w=Array.isArray(l)?b(l[y],i):l?b(l,i):b(\"\\u25cf\",i);var M=w[0],k=w[1],A=w[2];p+=3*M.cells.length,m+=2*k.edges.length}var T=p+m,S=g.mallocFloat(3*T),E=g.mallocFloat(4*T),L=g.mallocFloat(2*T),C=g.mallocUint32(T),z=[0,a[1]],D=0,I=p,P=[0,0,0,1],O=[0,0,0,1],j=Array.isArray(u)&&Array.isArray(u[0]),R=Array.isArray(f)&&Array.isArray(f[0]);t:for(var y=0;y<v;++y){for(var x=n[y],_=0;_<3;++_){if(isNaN(x[_])||!isFinite(x[_])){d+=1;continue t}s[_]=Math.max(s[_],x[_]),o[_]=Math.min(o[_],x[_])}var w;w=Array.isArray(l)?b(l[y],i):l?b(l,i):b(\"\\u25cf\",i);var M=w[0],k=w[1],A=w[2];if(Array.isArray(u)){var F;if(F=j?u[y]:u,3===F.length){for(var _=0;_<3;++_)P[_]=F[_];P[3]=1}else if(4===F.length)for(var _=0;_<4;++_)P[_]=F[_]}else P[0]=P[1]=P[2]=0,P[3]=1;if(Array.isArray(f)){var F;if(F=R?f[y]:f,3===F.length){for(var _=0;_<3;++_)O[_]=F[_];O[_]=1}else if(4===F.length)for(var _=0;_<4;++_)O[_]=F[_]}else O[0]=O[1]=O[2]=0,O[3]=1;var N=.5;Array.isArray(c)?N=+c[y]:c?N=+c:this.useOrtho&&(N=12);var B=0;Array.isArray(h)?B=+h[y]:h&&(B=+h);for(var U=Math.cos(B),V=Math.sin(B),x=n[y],_=0;_<3;++_)s[_]=Math.max(s[_],x[_]),o[_]=Math.min(o[_],x[_]);a[0]<0?z[0]=a[0]*(1+A[1][0]):a[0]>0&&(z[0]=-a[0]*(1+A[0][0]));for(var H=M.cells,q=M.positions,_=0;_<H.length;++_)for(var G=H[_],Y=0;Y<3;++Y){for(var W=0;W<3;++W)S[3*D+W]=x[W];for(var W=0;W<4;++W)E[4*D+W]=P[W];C[D]=d;var X=q[G[Y]];L[2*D]=N*(U*X[0]-V*X[1]+z[0]),L[2*D+1]=N*(V*X[0]+U*X[1]+z[1]),D+=1}for(var H=k.edges,q=k.positions,_=0;_<H.length;++_)for(var G=H[_],Y=0;Y<2;++Y){for(var W=0;W<3;++W)S[3*I+W]=x[W];for(var W=0;W<4;++W)E[4*I+W]=O[W];C[I]=d;var X=q[G[Y]];L[2*I]=N*(U*X[0]-V*X[1]+z[0]),L[2*I+1]=N*(V*X[0]+U*X[1]+z[1]),I+=1}d+=1}this.vertexCount=p,this.lineVertexCount=m,this.pointBuffer.update(S),this.colorBuffer.update(E),this.glyphBuffer.update(L),this.idBuffer.update(new Uint32Array(C)),g.free(S),g.free(E),g.free(L),g.free(C),this.bounds=[o,s],this.points=n,this.pointCount=n.length}},_.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},{\"./lib/glyphs\":233,\"./lib/shaders\":234,\"gl-buffer\":141,\"gl-mat4/multiply\":167,\"gl-vao\":255,\"typedarray-pool\":521}],236:[function(t,e,r){\"use strict\";r.boxVertex=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid main() {\\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\\n}\\n\",r.boxFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = color;\\n}\\n\"},{}],237:[function(t,e,r){\"use strict\";function n(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}function i(t,e){var r=t.gl,i=o(r,[0,0,0,1,1,0,1,1]),l=a(r,s.boxVertex,s.boxFragment),u=new n(t,i,l);return u.update(e),t.addOverlay(u),u}var a=t(\"gl-shader\"),o=t(\"gl-buffer\"),s=t(\"./lib/shaders\");e.exports=i;var l=n.prototype;l.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,u=t.viewBox,c=t.pixelRatio,h=(e[0]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],f=(e[1]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1],d=(e[2]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],p=(e[3]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1];if(h=Math.max(h,u[0]),f=Math.max(f,u[1]),d=Math.min(d,u[2]),p=Math.min(p,u[3]),!(d<h||p<f)){o.bind();var m=s[2]-s[0],g=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,m,f,i),o.drawBox(0,f,h,p,i),o.drawBox(0,p,m,g,i),o.drawBox(d,f,m,p,i)),this.innerFill&&o.drawBox(h,f,d,p,n),r>0){var v=r*c;o.drawBox(h-v,f-v,d+v,f+v,a),o.drawBox(h-v,p-v,d+v,p+v,a),o.drawBox(h-v,f-v,h+v,p+v,a),o.drawBox(d-v,f-v,d+v,p+v,a)}}}},l.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},l.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{\"./lib/shaders\":236,\"gl-buffer\":141,\"gl-shader\":239}],238:[function(t,e,r){\"use strict\";function n(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function i(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}function a(t,e){return new i(t,o(t,e),s.mallocUint8(e[0]*e[1]*4))}e.exports=a;var o=t(\"gl-fbo\"),s=t(\"typedarray-pool\"),l=t(\"ndarray\"),u=t(\"bit-twiddle\").nextPow2,c=t(\"cwise/lib/wrapper\")({args:[\"array\",{offset:[0,0,1],array:0},{offset:[0,0,2],array:0},{offset:[0,0,3],array:0},\"scalar\",\"scalar\",\"index\"],pre:{body:\"{this_closestD2=1e8,this_closestX=-1,this_closestY=-1}\",args:[],thisVars:[\"this_closestD2\",\"this_closestX\",\"this_closestY\"],localVars:[]},body:{body:\"{if(_inline_46_arg0_<255||_inline_46_arg1_<255||_inline_46_arg2_<255||_inline_46_arg3_<255){var _inline_46_l=_inline_46_arg4_-_inline_46_arg6_[0],_inline_46_a=_inline_46_arg5_-_inline_46_arg6_[1],_inline_46_f=_inline_46_l*_inline_46_l+_inline_46_a*_inline_46_a;_inline_46_f<this_closestD2&&(this_closestD2=_inline_46_f,this_closestX=_inline_46_arg6_[0],this_closestY=_inline_46_arg6_[1])}}\",args:[{name:\"_inline_46_arg0_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_46_arg1_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_46_arg2_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_46_arg3_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_46_arg4_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_46_arg5_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_46_arg6_\",lvalue:!1,rvalue:!0,count:4}],thisVars:[\"this_closestD2\",\"this_closestX\",\"this_closestY\"],localVars:[\"_inline_46_a\",\"_inline_46_f\",\"_inline_46_l\"]},post:{body:\"{return[this_closestX,this_closestY,this_closestD2]}\",args:[],thisVars:[\"this_closestD2\",\"this_closestX\",\"this_closestY\"],localVars:[]},debug:!1,funcName:\"cwise\",blockSize:64}),h=i.prototype;Object.defineProperty(h,\"shape\",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){s.free(this.buffer);for(var n=this.buffer=s.mallocUint8(u(r*e*4)),i=0;i<r*e*4;++i)n[i]=255}return t}}}),h.begin=function(){var t=this.gl;this.shape;t&&(this.fbo.bind(),t.clearColor(1,1,1,1),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT))},h.end=function(){var t=this.gl;t&&(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},h.query=function(t,e,r){if(!this.gl)return null;var i=this.fbo.shape.slice();t|=0,e|=0,\"number\"!=typeof r&&(r=1);var a=0|Math.min(Math.max(t-r,0),i[0]),o=0|Math.min(Math.max(t+r,0),i[0]),s=0|Math.min(Math.max(e-r,0),i[1]),u=0|Math.min(Math.max(e+r,0),i[1]);if(o<=a||u<=s)return null;var h=[o-a,u-s],f=l(this.buffer,[h[0],h[1],4],[4,4*i[0],1],4*(a+i[0]*s)),d=c(f.hi(h[0],h[1],1),r,r),p=d[0],m=d[1];return p<0||Math.pow(this.radius,2)<d[2]?null:new n(p+a|0,m+s|0,f.get(p,m,0),[f.get(p,m,1),f.get(p,m,2),f.get(p,m,3)],Math.sqrt(d[2]))},h.dispose=function(){this.gl&&(this.fbo.dispose(),s.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))}},{\"bit-twiddle\":60,\"cwise/lib/wrapper\":106,\"gl-fbo\":148,ndarray:449,\"typedarray-pool\":521}],239:[function(t,e,r){\"use strict\";function n(t){this.gl=t,this._vref=this._fref=this._relink=this.vertShader=this.fragShader=this.program=this.attributes=this.uniforms=this.types=null}function i(t,e){return t.name<e.name?-1:1}function a(t,e,r,i,a){var o=new n(t);return o.update(e,r,i,a),o}var o=t(\"./lib/create-uniforms\"),s=t(\"./lib/create-attributes\"),l=t(\"./lib/reflect\"),u=t(\"./lib/shader-cache\"),c=t(\"./lib/runtime-reflect\"),h=t(\"./lib/GLError\"),f=n.prototype;f.bind=function(){this.program||this._relink(),this.gl.useProgram(this.program)},f.dispose=function(){this._fref&&this._fref.dispose(),this._vref&&this._vref.dispose(),this.attributes=this.types=this.vertShader=this.fragShader=this.program=this._relink=this._fref=this._vref=null},f.update=function(t,e,r,n){function a(){d.program=u.program(p,d._vref,d._fref,x,_);for(var t=0;t<r.length;++t)E[t]=p.getUniformLocation(d.program,r[t].name)}if(!e||1===arguments.length){var f=t;t=f.vertex,e=f.fragment,r=f.uniforms,n=f.attributes}var d=this,p=d.gl,m=d._vref;d._vref=u.shader(p,p.VERTEX_SHADER,t),m&&m.dispose(),d.vertShader=d._vref.shader;var g=this._fref;if(d._fref=u.shader(p,p.FRAGMENT_SHADER,e),g&&g.dispose(),d.fragShader=d._fref.shader,!r||!n){var v=p.createProgram();if(p.attachShader(v,d.fragShader),p.attachShader(v,d.vertShader),p.linkProgram(v),!p.getProgramParameter(v,p.LINK_STATUS)){var y=p.getProgramInfoLog(v);throw new h(y,\"Error linking program:\"+y)}r=r||c.uniforms(p,v),n=n||c.attributes(p,v),p.deleteProgram(v)}n=n.slice(),n.sort(i);for(var b=[],x=[],_=[],w=0;w<n.length;++w){var M=n[w];if(M.type.indexOf(\"mat\")>=0){for(var k=0|M.type.charAt(M.type.length-1),A=new Array(k),T=0;T<k;++T)A[T]=_.length,x.push(M.name+\"[\"+T+\"]\"),\"number\"==typeof M.location?_.push(M.location+T):Array.isArray(M.location)&&M.location.length===k&&\"number\"==typeof M.location[T]?_.push(0|M.location[T]):_.push(-1);b.push({name:M.name,type:M.type,locations:A})}else b.push({name:M.name,type:M.type,locations:[_.length]}),x.push(M.name),\"number\"==typeof M.location?_.push(0|M.location):_.push(-1)}for(var S=0,w=0;w<_.length;++w)if(_[w]<0){for(;_.indexOf(S)>=0;)S+=1;_[w]=S}var E=new Array(r.length);a(),d._relink=a,d.types={uniforms:l(r),attributes:l(n)},d.attributes=s(p,d,b,_),Object.defineProperty(d,\"uniforms\",o(p,d,r,E))},e.exports=a},{\"./lib/GLError\":240,\"./lib/create-attributes\":241,\"./lib/create-uniforms\":242,\"./lib/reflect\":243,\"./lib/runtime-reflect\":244,\"./lib/shader-cache\":245}],240:[function(t,e,r){arguments[4][197][0].apply(r,arguments)},{dup:197}],241:[function(t,e,r){arguments[4][198][0].apply(r,arguments)},{\"./GLError\":240,dup:198}],242:[function(t,e,r){arguments[4][199][0].apply(r,arguments)},{\"./GLError\":240,\"./reflect\":243,dup:199}],243:[function(t,e,r){arguments[4][200][0].apply(r,arguments)},{dup:200}],244:[function(t,e,r){arguments[4][201][0].apply(r,arguments)},{dup:201}],245:[function(t,e,r){arguments[4][202][0].apply(r,arguments)},{\"./GLError\":240,dup:202,\"gl-format-compiler-error\":149,\"weakmap-shim\":542}],246:[function(t,e,r){\"use strict\";function n(t){this.plot=t,this.enable=[!0,!0,!1,!1],this.width=[1,1,1,1],this.color=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.center=[1/0,1/0]}function i(t,e){var r=new n(t);return r.update(e),t.addOverlay(r),r}e.exports=i;var a=n.prototype;a.update=function(t){t=t||{},this.enable=(t.enable||[!0,!0,!1,!1]).slice(),this.width=(t.width||[1,1,1,1]).slice(),this.color=(t.color||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]).map(function(t){return t.slice()}),this.center=(t.center||[1/0,1/0]).slice(),this.plot.setOverlayDirty()},a.draw=function(){var t=this.enable,e=this.width,r=this.color,n=this.center,i=this.plot,a=i.line,o=i.dataBox,s=i.viewBox;if(a.bind(),o[0]<=n[0]&&n[0]<=o[2]&&o[1]<=n[1]&&n[1]<=o[3]){var l=s[0]+(n[0]-o[0])/(o[2]-o[0])*(s[2]-s[0]),u=s[1]+(n[1]-o[1])/(o[3]-o[1])*(s[3]-s[1]);t[0]&&a.drawLine(l,u,s[0],u,e[0],r[0]),t[1]&&a.drawLine(l,u,l,s[1],e[1],r[1]),t[2]&&a.drawLine(l,u,s[2],u,e[2],r[2]),t[3]&&a.drawLine(l,u,l,s[3],e[3],r[3])}},a.dispose=function(){this.plot.removeOverlay(this)}},{}],247:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\");e.exports=function(t){\n",
       "return n(t,\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, color;\\nattribute float weight;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 coordinates[3];\\nuniform vec4 colors[3];\\nuniform vec2 screenShape;\\nuniform float lineWidth;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vertexPosition = mix(coordinates[0],\\n    mix(coordinates[2], coordinates[1], 0.5 * (position + 1.0)), abs(position));\\n\\n  vec4 clipPos = projection * view * model * vec4(vertexPosition, 1.0);\\n  vec2 clipOffset = (projection * view * model * vec4(color, 0.0)).xy;\\n  vec2 delta = weight * clipOffset * screenShape;\\n  vec2 lineOffset = normalize(vec2(delta.y, -delta.x)) / screenShape;\\n\\n  gl_Position   = vec4(clipPos.xy + clipPos.w * 0.5 * lineWidth * lineOffset, clipPos.z, clipPos.w);\\n  fragColor     = color.x * colors[0] + color.y * colors[1] + color.z * colors[2];\\n}\\n\",\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  gl_FragColor = fragColor;\\n}\",null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec3\"},{name:\"weight\",type:\"float\"}])}},{\"gl-shader\":239}],248:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n,this.pixelRatio=1,this.bounds=[[-1e3,-1e3,-1e3],[1e3,1e3,1e3]],this.position=[0,0,0],this.lineWidth=[2,2,2],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.enabled=[!0,!0,!0],this.drawSides=[!0,!0,!0],this.axes=null}function i(t,e){function r(t,e,r,n,a,o){var s=[t,e,r,0,0,0,1];s[n+3]=1,s[n]=a,i.push.apply(i,s),s[6]=-1,i.push.apply(i,s),s[n]=o,i.push.apply(i,s),i.push.apply(i,s),s[6]=1,i.push.apply(i,s),s[n]=a,i.push.apply(i,s)}var i=[];r(0,0,0,0,0,1),r(0,0,0,1,0,1),r(0,0,0,2,0,1),r(1,0,0,1,-1,1),r(1,0,0,2,-1,1),r(0,1,0,0,-1,1),r(0,1,0,2,-1,1),r(0,0,1,0,-1,1),r(0,0,1,1,-1,1);var l=a(t,i),u=o(t,[{type:t.FLOAT,buffer:l,size:3,offset:0,stride:28},{type:t.FLOAT,buffer:l,size:3,offset:12,stride:28},{type:t.FLOAT,buffer:l,size:1,offset:24,stride:28}]),c=s(t);c.attributes.position.location=0,c.attributes.color.location=1,c.attributes.weight.location=2;var h=new n(t,l,u,c);return h.update(e),h}var a=t(\"gl-buffer\"),o=t(\"gl-vao\"),s=t(\"./shaders/index\");e.exports=i;var l=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],u=n.prototype,c=[0,0,0],h=[0,0,0],f=[0,0];u.isTransparent=function(){return!1},u.drawTransparent=function(t){},u.draw=function(t){var e=this.gl,r=this.vao,n=this.shader;r.bind(),n.bind();var i,a=t.model||l,o=t.view||l,s=t.projection||l;this.axes&&(i=this.axes.lastCubeProps.axis);for(var u=c,d=h,p=0;p<3;++p)i&&i[p]<0?(u[p]=this.bounds[0][p],d[p]=this.bounds[1][p]):(u[p]=this.bounds[1][p],d[p]=this.bounds[0][p]);f[0]=e.drawingBufferWidth,f[1]=e.drawingBufferHeight,n.uniforms.model=a,n.uniforms.view=o,n.uniforms.projection=s,n.uniforms.coordinates=[this.position,u,d],n.uniforms.colors=this.colors,n.uniforms.screenShape=f;for(var p=0;p<3;++p)n.uniforms.lineWidth=this.lineWidth[p]*this.pixelRatio,this.enabled[p]&&(r.draw(e.TRIANGLES,6,6*p),this.drawSides[p]&&r.draw(e.TRIANGLES,12,18+12*p));r.unbind()},u.update=function(t){t&&(\"bounds\"in t&&(this.bounds=t.bounds),\"position\"in t&&(this.position=t.position),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"colors\"in t&&(this.colors=t.colors),\"enabled\"in t&&(this.enabled=t.enabled),\"drawSides\"in t&&(this.drawSides=t.drawSides))},u.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders/index\":247,\"gl-buffer\":141,\"gl-vao\":255}],249:[function(t,e,r){var n=t(\"gl-shader\"),i=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  worldCoordinate = vec3(uv.zw, f.x);\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n  vec4 clipPosition = projection * view * worldPosition;\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\",a=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution_2_0(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\n\\n\\nfloat beckmannSpecular_1_1(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution_2_0(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\n\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (kill > 0.0 ||\\n    any(lessThan(worldCoordinate, clipBounds[0])) || any(greaterThan(worldCoordinate, clipBounds[1]))) {\\n    discard;\\n  }\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = beckmannSpecular_1_1(L, V, N, roughness);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color \\u2014 in vertex or in fragment\\n  vec4 surfaceColor = step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) + step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\",o=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  vec4 worldPosition = model * vec4(dataCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z = clipPosition.z + zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f;\\n  kill = -1.0;\\n  worldCoordinate = dataCoordinate;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\",s=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if(kill > 0.0 ||\\n    any(lessThan(worldCoordinate, clipBounds[0])) || any(greaterThan(worldCoordinate, clipBounds[1]))) {\\n    discard;\\n  }\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\";r.createShader=function(t){var e=n(t,i,a,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,i,s,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,o,a,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,o,s,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{\"gl-shader\":239}],250:[function(t,e,r){\"use strict\";function n(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}function i(t){var e=x([y({colormap:t,nshades:j,format:\"rgba\"}).map(function(t){return[t[0],t[1],t[2],255*t[3]]})]);return b.divseq(e,255),e}function a(t,e,r,i,a,o,s,l,u,c,h,f,d,p){this.gl=t,this.shape=e,this.bounds=r,this.intensityBounds=[],this._shader=i,this._pickShader=a,this._coordinateBuffer=o,this._vao=s,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=f,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new n([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=p,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[0/0,0/0,0/0],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[_(v.mallocFloat(1024),[0,0]),_(v.mallocFloat(1024),[0,0]),_(v.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}function o(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||F,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=N.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],M(l,t.model,l);var u=N.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return N.showSurface=o,N.showContour=s,N}function s(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=B;n.model=t.model||I,n.view=t.view||I,n.projection=t.projection||I,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.contourColor=this.contourColor[0],n.inverseModel=k(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],s=0;s<3;++s)a[s]=Math.min(Math.max(this.clipBounds[i][s],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=V,n.vertexColor=this.vertexColor;var l=U;for(M(l,n.view,n.model),M(l,n.projection,l),k(l,l),i=0;i<3;++i)n.eyePosition[i]=l[12+i]/l[15];var u=l[15];for(i=0;i<3;++i)u+=this.lightPosition[i]*l[4*i+3];for(i=0;i<3;++i){var c=l[12+i];for(s=0;s<3;++s)c+=l[4*s+i]*this.lightPosition[s];n.lightPosition[i]=c/u}var h=o(n,this);if(h.showSurface&&e===this.opacity<1){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=h.projections[i],this._shader.uniforms.clipBounds=h.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(h.showContour&&!e){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var d=this._contourVAO;for(d.bind(),i=0;i<3;++i)for(f.uniforms.permutation=O[i],r.lineWidth(this.contourWidth[i]),s=0;s<this.contourLevels[i].length;++s)this._contourCounts[i][s]&&(s===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==s&&s-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),f.uniforms.height=this.contourLevels[i][s],d.draw(r.LINES,this._contourCounts[i][s],this._contourOffsets[i][s]));for(i=0;i<3;++i)for(f.uniforms.model=h.projections[i],f.uniforms.clipBounds=h.clipBounds[i],s=0;s<3;++s)if(this.contourProject[i][s]){f.uniforms.permutation=O[s],r.lineWidth(this.contourWidth[s]);for(var p=0;p<this.contourLevels[s].length;++p)p===this.highlightLevel[s]?(f.uniforms.contourColor=this.highlightColor[s],f.uniforms.contourTint=this.highlightTint[s]):0!==p&&p-1!==this.highlightLevel[s]||(f.uniforms.contourColor=this.contourColor[s],f.uniforms.contourTint=this.contourTint[s]),f.uniforms.height=this.contourLevels[s][p],d.draw(r.LINES,this._contourCounts[s][p],this._contourOffsets[s][p])}for(d=this._dynamicVAO,d.bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=O[i],r.lineWidth(this.dynamicWidth[i]),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],d.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),s=0;s<3;++s)this.contourProject[s][i]&&(f.uniforms.model=h.projections[s],f.uniforms.clipBounds=h.clipBounds[s],d.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));d.unbind()}}function l(t,e){var r=e.shape.slice(),n=t.shape.slice();b.assign(t.lo(1,1).hi(r[0],r[1]),e),b.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),b.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),b.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),b.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))}function u(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function c(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function h(t){if(Array.isArray(t)){if(Array.isArray(t))return[c(t[0]),c(t[1]),c(t[2])];var e=c(t);return[e.slice(),e.slice(),e.slice()]}}function f(t){var e=t.gl,r=E(e),n=C(e),i=L(e),o=z(e),s=p(e),l=m(e,[{buffer:s,size:4,stride:D,offset:0},{buffer:s,size:3,stride:D,offset:16},{buffer:s,size:3,stride:D,offset:28}]),u=p(e),c=m(e,[{buffer:u,size:4,stride:20,offset:0},{buffer:u,size:1,stride:20,offset:16}]),h=p(e),f=m(e,[{buffer:h,size:2,type:e.FLOAT}]),d=g(e,1,j,e.RGBA,e.UNSIGNED_BYTE);d.minFilter=e.LINEAR,d.magFilter=e.LINEAR;var v=new a(e,[0,0],[[0,0,0],[0,0,0]],r,n,s,l,d,i,o,u,c,h,f),y={levels:[[],[],[]]};for(var b in t)y[b]=t[b];return y.colormap=y.colormap||\"jet\",v.update(y),v}e.exports=f;var d=t(\"bit-twiddle\"),p=t(\"gl-buffer\"),m=t(\"gl-vao\"),g=t(\"gl-texture2d\"),v=t(\"typedarray-pool\"),y=t(\"colormap\"),b=t(\"ndarray-ops\"),x=t(\"ndarray-pack\"),_=t(\"ndarray\"),w=t(\"surface-nets\"),M=t(\"gl-mat4/multiply\"),k=t(\"gl-mat4/invert\"),A=t(\"binary-search-bounds\"),T=t(\"ndarray-gradient\"),S=t(\"./lib/shaders\"),E=S.createShader,L=S.createContourShader,C=S.createPickShader,z=S.createPickContourShader,D=40,I=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],P=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],O=[[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]];!function(){for(var t=0;t<3;++t){var e=O[t],r=(t+1)%3,n=(t+2)%3;e[r+0]=1,e[n+3]=1,e[t+6]=1}}();var j=256,R=a.prototype;R.isTransparent=function(){return this.opacity<1},R.isOpaque=function(){if(this.opacity>=1)return!0;for(var t=0;t<3;++t)if(this._contourCounts[t].length>0||this._dynamicCounts[t]>0)return!0;return!1},R.pickSlots=1,R.setPickBase=function(t){this.pickId=t};var F=[0,0,0],N={showSurface:!1,showContour:!1,projections:[I.slice(),I.slice(),I.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]},B={model:I,view:I,projection:I,inverseModel:I.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},U=I.slice(),V=[1,0,0,0,1,0,0,0,1];R.draw=function(t){return s.call(this,t,!1)},R.drawTransparent=function(t){return s.call(this,t,!0)};var H={model:I,view:I,projection:I,inverseModel:I,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};R.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=H;r.model=t.model||I,r.view=t.view||I,r.projection=t.projection||I,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.permutation=V;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var s=o(r,this);if(s.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=s.projections[n],this._pickShader.uniforms.clipBounds=s.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(s.showContour){var l=this._contourPickShader;l.bind(),l.uniforms=r;var u=this._contourVAO;for(u.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]),l.uniforms.permutation=O[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(l.uniforms.height=this.contourLevels[a][n],u.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(l.uniforms.model=s.projections[n],l.uniforms.clipBounds=s.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){l.uniforms.permutation=O[a],e.lineWidth(this.contourWidth[a]);for(var c=0;c<this.contourLevels[a].length;++c)this._contourCounts[a][c]&&(l.uniforms.height=this.contourLevels[a][c],u.draw(e.LINES,this._contourCounts[a][c],this._contourOffsets[a][c]))}u.unbind()}},R.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var u=r.position;u[0]=u[1]=u[2]=0;for(var c=0;c<2;++c)for(var h=c?a:1-a,f=0;f<2;++f)for(var d=f?l:1-l,p=i+c,m=s+f,g=h*d,v=0;v<3;++v)u[v]+=this._field[v].get(p,m)*g;for(var y=this._pickResult.level,b=0;b<3;++b)if(y[b]=A.le(this.contourLevels[b],u[b]),y[b]<0)this.contourLevels[b].length>0&&(y[b]=0);else if(y[b]<this.contourLevels[b].length-1){var x=this.contourLevels[b][y[b]],_=this.contourLevels[b][y[b]+1];Math.abs(x-u[b])>Math.abs(_-u[b])&&(y[b]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],v=0;v<3;++v)r.dataCoordinate[v]=this._field[v].get(r.index[0],r.index[1]);return r},R.update=function(t){t=t||{},this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=u(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=u(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=u(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=h(t.contourColor)),\"contourProject\"in t&&(this.contourProject=u(t.contourProject,function(t){return u(t,Boolean)})),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=h(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=u(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=u(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0);var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var n=(e.shape[0]+2)*(e.shape[1]+2);n>this._field[2].data.length&&(v.freeFloat(this._field[2].data),this._field[2].data=v.mallocFloat(d.nextPow2(n))),this._field[2]=_(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),l(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(v.freeFloat(this._field[o].data),this._field[o].data=v.mallocFloat(this._field[2].size)),this._field[o]=_(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var s=t.coords;if(!Array.isArray(s)||3!==s.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var c=s[o];for(y=0;y<2;++y)if(c.shape[y]!==a[y])throw new Error(\"gl-surface: coords have incorrect shape\");l(this._field[o],c)}}else if(t.ticks){var f=t.ticks;if(!Array.isArray(f)||2!==f.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=f[o];if((Array.isArray(p)||p.length)&&(p=_(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var m=_(p.data,a);m.stride[o]=p.stride[0],m.stride[1^o]=0,l(this._field[o],m)}}else{for(o=0;o<2;++o){var g=[0,0];g[o]=1,this._field[o]=_(this._field[o].data,[a[0]+2,a[1]+2],g,0)}this._field[0].set(0,0,0);for(var y=0;y<a[0];++y)this._field[0].set(y+1,0,y);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),y=0;y<a[1];++y)this._field[1].set(0,y+1,y);this._field[1].set(0,a[1]+1,a[1]-1)}var b=this._field,x=_(v.mallocFloat(3*b[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)T(x.pick(o),b[o],\"mirror\");var M=_(v.mallocFloat(3*b[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(y=0;y<a[1]+2;++y){var k=x.get(0,o,y,0),A=x.get(0,o,y,1),S=x.get(1,o,y,0),E=x.get(1,o,y,1),L=x.get(2,o,y,0),C=x.get(2,o,y,1),z=S*C-E*L,D=L*A-C*k,I=k*E-A*S,O=Math.sqrt(z*z+D*D+I*I);O<1e-8?(O=Math.max(Math.abs(z),Math.abs(D),Math.abs(I)),O<1e-8?(I=1,D=z=0,O=1):O=1/O):O=1/Math.sqrt(O),M.set(o,y,0,z*O),M.set(o,y,1,D*O),M.set(o,y,2,I*O)}v.free(x.data);var j=[1/0,1/0,1/0],R=[-1/0,-1/0,-1/0],F=1/0,N=-1/0,B=(a[0]-1)*(a[1]-1)*6,U=v.mallocFloat(d.nextPow2(10*B)),V=0,H=0;for(o=0;o<a[0]-1;++o)t:for(y=0;y<a[1]-1;++y){for(var q=0;q<2;++q)for(var G=0;G<2;++G)for(var Y=0;Y<3;++Y){var W=this._field[Y].get(1+o+q,1+y+G);if(isNaN(W)||!isFinite(W))continue t}for(Y=0;Y<6;++Y){var X=o+P[Y][0],Z=y+P[Y][1],J=this._field[0].get(X+1,Z+1),Q=this._field[1].get(X+1,Z+1);W=this._field[2].get(X+1,Z+1);var K=W;z=M.get(X+1,Z+1,0),D=M.get(X+1,Z+1,1),I=M.get(X+1,Z+1,2),t.intensity&&(K=t.intensity.get(X,Z)),U[V++]=X,U[V++]=Z,U[V++]=J,U[V++]=Q,U[V++]=W,U[V++]=0,U[V++]=K,U[V++]=z,U[V++]=D,U[V++]=I,j[0]=Math.min(j[0],J),j[1]=Math.min(j[1],Q),j[2]=Math.min(j[2],W),F=Math.min(F,K),R[0]=Math.max(R[0],J),R[1]=Math.max(R[1],Q),R[2]=Math.max(R[2],W),N=Math.max(N,K),H+=1}}for(t.intensityBounds&&(F=+t.intensityBounds[0],N=+t.intensityBounds[1]),o=6;o<V;o+=10)U[o]=(U[o]-F)/(N-F);this._vertexCount=H,this._coordinateBuffer.update(U.subarray(0,V)),v.freeFloat(U),v.free(M.data),this.bounds=[j,R],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===F&&this.intensityBounds[1]===N||(r=!0),this.intensityBounds=[F,N]}if(\"levels\"in t){var $=t.levels;for($=Array.isArray($[0])?$.slice():[[],[],$],o=0;o<3;++o)$[o]=$[o].slice(),$.sort(function(t,e){return t-e});t:for(o=0;o<3;++o){if($[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;y<$[o].length;++y)if($[o][y]!==this.contourLevels[o][y]){r=!0;break t}}this.contourLevels=$}if(r){b=this._field,a=this.shape;for(var tt=[],et=0;et<3;++et){$=this.contourLevels[et];var rt=[],nt=[],it=[0,0,0];for(o=0;o<$.length;++o){var at=w(this._field[et],$[o]);rt.push(tt.length/5|0),H=0;t:for(y=0;y<at.cells.length;++y){var ot=at.cells[y];for(Y=0;Y<2;++Y){var st=at.positions[ot[Y]],lt=st[0],ut=0|Math.floor(lt),ct=lt-ut,ht=st[1],ft=0|Math.floor(ht),dt=ht-ft,pt=!1;e:for(var mt=0;mt<3;++mt){it[mt]=0;var gt=(et+mt+1)%3;for(q=0;q<2;++q){var vt=q?ct:1-ct;for(X=0|Math.min(Math.max(ut+q,0),a[0]),G=0;G<2;++G){var yt=G?dt:1-dt;if(Z=0|Math.min(Math.max(ft+G,0),a[1]),W=mt<2?this._field[gt].get(X,Z):(this.intensity.get(X,Z)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(W)||isNaN(W)){pt=!0;break e}var bt=vt*yt;it[mt]+=bt*W}}}if(pt){if(Y>0){for(var xt=0;xt<5;++xt)tt.pop();H-=1}continue t}tt.push(it[0],it[1],st[0],st[1],it[2]),H+=1}}nt.push(H)}this._contourOffsets[et]=rt,this._contourCounts[et]=nt}var _t=v.mallocFloat(tt.length);for(o=0;o<tt.length;++o)_t[o]=tt[o];this._contourBuffer.update(_t),v.freeFloat(_t)}t.colormap&&this._colorMap.setPixels(i(t.colormap))},R.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)v.freeFloat(this._field[t].data)},R.highlight=function(t){if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[0/0,0/0,0/0],void(this.highlightLevel=[-1,-1,-1]);for(var e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;var r;if(r=this.snapToData?t.dataCoordinate:t.position,this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=v.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var s=(o+1)%3,l=(o+2)%3,u=this._field[o],c=this._field[s],h=this._field[l],f=(this.intensity,w(u,r[o])),d=f.cells,p=f.positions;for(this._dynamicOffsets[o]=n,e=0;e<d.length;++e)for(var m=d[e],g=0;g<2;++g){var y=p[m[g]],b=+y[0],x=0|b,_=0|Math.min(x+1,i[0]),M=b-x,k=1-M,A=+y[1],T=0|A,S=0|Math.min(T+1,i[1]),E=A-T,L=1-E,C=k*L,z=k*E,D=M*L,I=M*E,P=C*c.get(x,T)+z*c.get(x,S)+D*c.get(_,T)+I*c.get(_,S),O=C*h.get(x,T)+z*h.get(x,S)+D*h.get(_,T)+I*h.get(_,S);if(isNaN(P)||isNaN(O)){g&&(n-=1);break}a[2*n+0]=P,a[2*n+1]=O,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=0/0,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),v.freeFloat(a)}}},{\"./lib/shaders\":249,\"binary-search-bounds\":59,\"bit-twiddle\":60,colormap:92,\"gl-buffer\":141,\"gl-mat4/invert\":165,\"gl-mat4/multiply\":167,\"gl-texture2d\":251,\"gl-vao\":255,ndarray:449,\"ndarray-gradient\":440,\"ndarray-ops\":443,\"ndarray-pack\":444,\"surface-nets\":511,\"typedarray-pool\":521}],251:[function(t,e,r){\"use strict\";function n(t){v=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],y=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],b=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function i(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}function a(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function o(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}function s(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function l(t,e,r,n,i,a,o,l){var u=l.dtype,c=l.shape.slice();if(c.length<2||c.length>3)throw new Error(\"gl-texture2d: Invalid ndarray, must be 2d or 3d\");var h=0,f=0,d=s(c,l.stride.slice());\"float32\"===u?h=t.FLOAT:\"float64\"===u?(h=t.FLOAT,d=!1,u=\"float32\"):\"uint8\"===u?h=t.UNSIGNED_BYTE:(h=t.UNSIGNED_BYTE,d=!1,u=\"uint8\");if(2===c.length)f=t.LUMINANCE,c=[c[0],c[1],1],l=p(l.data,c,[l.stride[0],l.stride[1],1],l.offset);else{if(3!==c.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===c[2])f=t.ALPHA;else if(2===c[2])f=t.LUMINANCE_ALPHA;else if(3===c[2])f=t.RGB;else{if(4!==c[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");f=t.RGBA}c[2]}if(f!==t.LUMINANCE&&f!==t.ALPHA||i!==t.LUMINANCE&&i!==t.ALPHA||(f=i),f!==i)throw new Error(\"gl-texture2d: Incompatible texture format for setPixels\");var v=l.size,y=o.indexOf(n)<0;if(y&&o.push(n),h===a&&d)0===l.offset&&l.data.length===v?y?t.texImage2D(t.TEXTURE_2D,n,i,c[0],c[1],0,i,a,l.data):t.texSubImage2D(t.TEXTURE_2D,n,e,r,c[0],c[1],i,a,l.data):y?t.texImage2D(t.TEXTURE_2D,n,i,c[0],c[1],0,i,a,l.data.subarray(l.offset,l.offset+v)):t.texSubImage2D(t.TEXTURE_2D,n,e,r,c[0],c[1],i,a,l.data.subarray(l.offset,l.offset+v));else{var b;b=a===t.FLOAT?g.mallocFloat32(v):g.mallocUint8(v);var _=p(b,c,[c[2],c[2]*c[0],1]);h===t.FLOAT&&a===t.UNSIGNED_BYTE?x(_,l):m.assign(_,l),y?t.texImage2D(t.TEXTURE_2D,n,i,c[0],c[1],0,i,a,b.subarray(0,v)):t.texSubImage2D(t.TEXTURE_2D,n,e,r,c[0],c[1],i,a,b.subarray(0,v)),a===t.FLOAT?g.freeFloat32(b):g.freeUint8(b)}}function u(t){var e=t.createTexture();return 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n=t(\"./builtins\");n=n.slice().filter(function(t){return!/^(gl\\_|texture)/.test(t)}),e.exports=n.concat([\"gl_VertexID\",\"gl_InstanceID\",\"gl_Position\",\"gl_PointSize\",\"gl_FragCoord\",\"gl_FrontFacing\",\"gl_FragDepth\",\"gl_PointCoord\",\"gl_MaxVertexAttribs\",\"gl_MaxVertexUniformVectors\",\"gl_MaxVertexOutputVectors\",\"gl_MaxFragmentInputVectors\",\"gl_MaxVertexTextureImageUnits\",\"gl_MaxCombinedTextureImageUnits\",\"gl_MaxTextureImageUnits\",\"gl_MaxFragmentUniformVectors\",\"gl_MaxDrawBuffers\",\"gl_MinProgramTexelOffset\",\"gl_MaxProgramTexelOffset\",\"gl_DepthRangeParameters\",\"gl_DepthRange\",\"trunc\",\"round\",\"roundEven\",\"isnan\",\"isinf\",\"floatBitsToInt\",\"floatBitsToUint\",\"intBitsToFloat\",\"uintBitsToFloat\",\"packSnorm2x16\",\"unpackSnorm2x16\",\"packUnorm2x16\",\"unpackUnorm2x16\",\"packHalf2x16\",\"unpackHalf2x16\",\"outerProduct\",\"transpose\",\"determinant\",\"inverse\",\"texture\",\"textureSize\",\"textureProj\",\"textureLod\",\"textureOffset\",\"texelFetch\",\"texelFetchOffset\",\"textureProjOffset\",\"textureLodOffset\",\"textureProjLod\",\"textureProjLodOffset\",\"textureGrad\",\"textureGradOffset\",\"textureProjGrad\",\"textureProjGradOffset\"])},{\"./builtins\":266}],266:[function(t,e,r){e.exports=[\"abs\",\"acos\",\"all\",\"any\",\"asin\",\"atan\",\"ceil\",\"clamp\",\"cos\",\"cross\",\"dFdx\",\"dFdy\",\"degrees\",\"distance\",\"dot\",\"equal\",\"exp\",\"exp2\",\"faceforward\",\"floor\",\"fract\",\"gl_BackColor\",\"gl_BackLightModelProduct\",\"gl_BackLightProduct\",\"gl_BackMaterial\",\"gl_BackSecondaryColor\",\"gl_ClipPlane\",\"gl_ClipVertex\",\"gl_Color\",\"gl_DepthRange\",\"gl_DepthRangeParameters\",\"gl_EyePlaneQ\",\"gl_EyePlaneR\",\"gl_EyePlaneS\",\"gl_EyePlaneT\",\"gl_Fog\",\"gl_FogCoord\",\"gl_FogFragCoord\",\"gl_FogParameters\",\"gl_FragColor\",\"gl_FragCoord\",\"gl_FragData\",\"gl_FragDepth\",\"gl_FragDepthEXT\",\"gl_FrontColor\",\"gl_FrontFacing\",\"gl_FrontLightModelProduct\",\"gl_FrontLightProduct\",\"gl_FrontMaterial\",\"gl_FrontSecondaryColor\",\"gl_LightModel\",\"gl_LightModelParameters\",\"gl_LightModelProducts\",\"gl_LightProducts\",\"gl_LightSource\",\"gl_LightSourceParameters\",\"gl_MaterialParameters\",\"gl_MaxClipPlanes\",\"gl_MaxCombinedTextureImageUnits\",\"gl_MaxDrawBuffers\",\"gl_MaxFragmentUniformComponents\",\"gl_MaxLights\",\"gl_MaxTextureCoords\",\"gl_MaxTextureImageUnits\",\"gl_MaxTextureUnits\",\"gl_MaxVaryingFloats\",\"gl_MaxVertexAttribs\",\"gl_MaxVertexTextureImageUnits\",\"gl_MaxVertexUniformComponents\",\"gl_ModelViewMatrix\",\"gl_ModelViewMatrixInverse\",\"gl_ModelViewMatrixInverseTranspose\",\"gl_ModelViewMatrixTranspose\",\"gl_ModelViewProjectionMatrix\",\"gl_ModelViewProjectionMatrixInverse\",\"gl_ModelViewProjectionMatrixInverseTranspose\",\"gl_ModelViewProjectionMatrixTranspose\",\"gl_MultiTexCoord0\",\"gl_MultiTexCoord1\",\"gl_MultiTexCoord2\",\"gl_MultiTexCoord3\",\"gl_MultiTexCoord4\",\"gl_MultiTexCoord5\",\"gl_MultiTexCoord6\",\"gl_MultiTexCoord7\",\"gl_Normal\",\"gl_NormalMatrix\",\"gl_NormalScale\",\"gl_ObjectPlaneQ\",\"gl_ObjectPlaneR\",\"gl_ObjectPlaneS\",\"gl_ObjectPlaneT\",\"gl_Point\",\"gl_PointCoord\",\"gl_PointParameters\",\"gl_PointSize\",\"gl_Position\",\"gl_ProjectionMatrix\",\"gl_ProjectionMatrixInverse\",\"gl_ProjectionMatrixInverseTranspose\",\"gl_ProjectionMatrixTranspose\",\"gl_SecondaryColor\",\"gl_TexCoord\",\"gl_TextureEnvColor\",\"gl_TextureMatrix\",\"gl_TextureMatrixInverse\",\"gl_TextureMatrixInverseTranspose\",\"gl_TextureMatrixTranspose\",\"gl_Vertex\",\"greaterThan\",\"greaterThanEqual\",\"inversesqrt\",\"length\",\"lessThan\",\"lessThanEqual\",\"log\",\"log2\",\"matrixCompMult\",\"max\",\"min\",\"mix\",\"mod\",\"normalize\",\"not\",\"notEqual\",\"pow\",\"radians\",\"reflect\",\"refract\",\"sign\",\"sin\",\"smoothstep\",\"sqrt\",\"step\",\"tan\",\"texture2D\",\"texture2DLod\",\"texture2DProj\",\"texture2DProjLod\",\"textureCube\",\"textureCubeLod\",\"texture2DLodEXT\",\"texture2DProjLodEXT\",\"textureCubeLodEXT\",\"texture2DGradEXT\",\"texture2DProjGradEXT\",\"textureCubeGradEXT\"]},{}],267:[function(t,e,r){var n=t(\"./literals\");e.exports=n.slice().concat([\"layout\",\"centroid\",\"smooth\",\"case\",\"mat2x2\",\"mat2x3\",\"mat2x4\",\"mat3x2\",\"mat3x3\",\"mat3x4\",\"mat4x2\",\"mat4x3\",\"mat4x4\",\"uint\",\"uvec2\",\"uvec3\",\"uvec4\",\"samplerCubeShadow\",\"sampler2DArray\",\"sampler2DArrayShadow\",\"isampler2D\",\"isampler3D\",\"isamplerCube\",\"isampler2DArray\",\"usampler2D\",\"usampler3D\",\"usamplerCube\",\"usampler2DArray\",\"coherent\",\"restrict\",\"readonly\",\"writeonly\",\"resource\",\"atomic_uint\",\"noperspective\",\"patch\",\"sample\",\"subroutine\",\"common\",\"partition\",\"active\",\"filter\",\"image1D\",\"image2D\",\"image3D\",\"imageCube\",\"iimage1D\",\"iimage2D\",\"iimage3D\",\"iimageCube\",\"uimage1D\",\"uimage2D\",\"uimage3D\",\"uimageCube\",\"image1DArray\",\"image2DArray\",\"iimage1DArray\",\"iimage2DArray\",\"uimage1DArray\",\"uimage2DArray\",\"image1DShadow\",\"image2DShadow\",\"image1DArrayShadow\",\"image2DArrayShadow\",\"imageBuffer\",\"iimageBuffer\",\"uimageBuffer\",\"sampler1DArray\",\"sampler1DArrayShadow\",\"isampler1D\",\"isampler1DArray\",\"usampler1D\",\"usampler1DArray\",\"isampler2DRect\",\"usampler2DRect\",\"samplerBuffer\",\"isamplerBuffer\",\"usamplerBuffer\",\"sampler2DMS\",\"isampler2DMS\",\"usampler2DMS\",\"sampler2DMSArray\",\"isampler2DMSArray\",\"usampler2DMSArray\"])},{\"./literals\":268}],268:[function(t,e,r){e.exports=[\"precision\",\"highp\",\"mediump\",\"lowp\",\"attribute\",\"const\",\"uniform\",\"varying\",\"break\",\"continue\",\"do\",\"for\",\"while\",\"if\",\"else\",\"in\",\"out\",\"inout\",\"float\",\"int\",\"void\",\"bool\",\"true\",\"false\",\"discard\",\"return\",\"mat2\",\"mat3\",\"mat4\",\"vec2\",\"vec3\",\"vec4\",\"ivec2\",\"ivec3\",\"ivec4\",\"bvec2\",\"bvec3\",\"bvec4\",\"sampler1D\",\"sampler2D\",\"sampler3D\",\"samplerCube\",\"sampler1DShadow\",\"sampler2DShadow\",\"struct\",\"asm\",\"class\",\"union\",\"enum\",\"typedef\",\"template\",\"this\",\"packed\",\"goto\",\"switch\",\"default\",\"inline\",\"noinline\",\"volatile\",\"public\",\"static\",\"extern\",\"external\",\"interface\",\"long\",\"short\",\"double\",\"half\",\"fixed\",\"unsigned\",\"input\",\"output\",\"hvec2\",\"hvec3\",\"hvec4\",\"dvec2\",\"dvec3\",\"dvec4\",\"fvec2\",\"fvec3\",\"fvec4\",\"sampler2DRect\",\"sampler3DRect\",\"sampler2DRectShadow\",\"sizeof\",\"cast\",\"namespace\",\"using\"]},{}],269:[function(t,e,r){e.exports=[\"<<=\",\">>=\",\"++\",\"--\",\"<<\",\">>\",\"<=\",\">=\",\"==\",\"!=\",\"&&\",\"||\",\"+=\",\"-=\",\"*=\",\"/=\",\"%=\",\"&=\",\"^^\",\"^=\",\"|=\",\"(\",\")\",\"[\",\"]\",\".\",\"!\",\"~\",\"*\",\"/\",\"%\",\"+\",\"-\",\"<\",\">\",\"&\",\"^\",\"|\",\"?\",\":\",\"=\",\",\",\";\",\"{\",\"}\"]},{}],270:[function(t,e,r){function n(t,e){var r=i(e),n=[];return n=n.concat(r(t)),n=n.concat(r(null))}var i=t(\"./index\");e.exports=n},{\"./index\":264}],271:[function(t,e,r){\"use strict\";function n(t,e,r){var n=this.cells=[];if(t instanceof ArrayBuffer){this.arrayBuffer=t;var a=new Int32Array(this.arrayBuffer);t=a[0],e=a[1],r=a[2],this.d=e+2*r;for(var o=0;o<this.d*this.d;o++){var s=a[i+o],l=a[i+o+1];n.push(s===l?null:a.subarray(s,l))}var u=a[i+n.length],c=a[i+n.length+1];this.keys=a.subarray(u,c),this.bboxes=a.subarray(c),this.insert=this._insertReadonly}else{this.d=e+2*r;for(var h=0;h<this.d*this.d;h++)n.push([]);this.keys=[],this.bboxes=[]}this.n=e,this.extent=t,this.padding=r,this.scale=e/t,this.uid=0;var f=r/e*t;this.min=-f,this.max=t+f}e.exports=n;var i=3;n.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertCell,this.uid++),this.keys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},n.prototype._insertReadonly=function(){throw\"Cannot insert into a GridIndex created from an ArrayBuffer.\"},n.prototype._insertCell=function(t,e,r,n,i,a){this.cells[i].push(a)},n.prototype.query=function(t,e,r,n){var i=this.min,a=this.max;if(t<=i&&e<=i&&a<=r&&a<=n)return Array.prototype.slice.call(this.keys);var o=[],s={};return this._forEachCell(t,e,r,n,this._queryCell,o,s),o},n.prototype._queryCell=function(t,e,r,n,i,a,o){var s=this.cells[i];if(null!==s)for(var l=this.keys,u=this.bboxes,c=0;c<s.length;c++){var h=s[c];if(void 0===o[h]){var f=4*h;t<=u[f+2]&&e<=u[f+3]&&r>=u[f+0]&&n>=u[f+1]?(o[h]=!0,a.push(l[h])):o[h]=!1}}},n.prototype._forEachCell=function(t,e,r,n,i,a,o){for(var s=this._convertToCellCoord(t),l=this._convertToCellCoord(e),u=this._convertToCellCoord(r),c=this._convertToCellCoord(n),h=s;h<=u;h++)for(var f=l;f<=c;f++){var d=this.d*f+h;if(i.call(this,t,e,r,n,d,a,o))return}},n.prototype._convertToCellCoord=function(t){return Math.max(0,Math.min(this.d-1,Math.floor(t*this.scale)+this.padding))},n.prototype.toArrayBuffer=function(){if(this.arrayBuffer)return this.arrayBuffer;for(var t=this.cells,e=i+this.cells.length+1+1,r=0,n=0;n<this.cells.length;n++)r+=this.cells[n].length;var a=new Int32Array(e+r+this.keys.length+this.bboxes.length);a[0]=this.extent,a[1]=this.n,a[2]=this.padding;for(var o=e,s=0;s<t.length;s++){var l=t[s];a[i+s]=o,a.set(l,o),o+=l.length}return a[i+t.length]=o,a.set(this.keys,o),o+=this.keys.length,a[i+t.length+1]=o,a.set(this.bboxes,o),o+=this.bboxes.length,a.buffer}},{}],272:[function(t,e,r){r.read=function(t,e,r,n,i){var a,o,s=8*i-n-1,l=(1<<s)-1,u=l>>1,c=-7,h=r?i-1:0,f=r?-1:1,d=t[e+h];for(h+=f,a=d&(1<<-c)-1,d>>=-c,c+=s;c>0;a=256*a+t[e+h],h+=f,c-=8);for(o=a&(1<<-c)-1,a>>=-c,c+=n;c>0;o=256*o+t[e+h],h+=f,c-=8);if(0===a)a=1-u;else{if(a===l)return o?0/0:1/0*(d?-1:1);o+=Math.pow(2,n),a-=u}return(d?-1:1)*o*Math.pow(2,a-n)},r.write=function(t,e,r,n,i,a){var o,s,l,u=8*a-i-1,c=(1<<u)-1,h=c>>1,f=23===i?Math.pow(2,-24)-Math.pow(2,-77):0,d=n?0:a-1,p=n?1:-1,m=e<0||0===e&&1/e<0?1:0;for(e=Math.abs(e),isNaN(e)||1/0===e?(s=isNaN(e)?1:0,o=c):(o=Math.floor(Math.log(e)/Math.LN2),e*(l=Math.pow(2,-o))<1&&(o--,l*=2),e+=o+h>=1?f/l:f*Math.pow(2,1-h),e*l>=2&&(o++,l/=2),o+h>=c?(s=0,o=c):o+h>=1?(s=(e*l-1)*Math.pow(2,i),o+=h):(s=e*Math.pow(2,h-1)*Math.pow(2,i),o=0));i>=8;t[r+d]=255&s,d+=p,s/=256,i-=8);for(o=o<<i|s,u+=i;u>0;t[r+d]=255&o,d+=p,o/=256,u-=8);t[r+d-p]|=128*m}},{}],273:[function(t,e,r){\"use strict\";function n(t,e,r){this.vertices=t,this.adjacent=e,this.boundary=r,this.lastVisited=-1}function i(t,e,r){this.vertices=t,this.cell=e,this.index=r}function a(t,e){return c(t.vertices,e.vertices)}function o(t){for(var e=[\"function orient(){var tuple=this.tuple;return test(\"],r=0;r<=t;++r)r>0&&e.push(\",\"),e.push(\"tuple[\",r,\"]\");e.push(\")}return orient\");var n=new Function(\"test\",e.join(\"\")),i=u[t+1];return i||(i=u),n(i)}function s(t,e,r){this.dimension=t,this.vertices=e,this.simplices=r,this.interior=r.filter(function(t){return!t.boundary}),this.tuple=new Array(t+1);for(var n=0;n<=t;++n)this.tuple[n]=this.vertices[n];var i=h[t];i||(i=h[t]=o(t)),this.orient=i}function l(t,e){var r=t.length;if(0===r)throw new Error(\"Must have at least d+1 points\");var i=t[0].length;if(r<=i)throw new Error(\"Must input at least d+1 points\");var a=t.slice(0,i+1),o=u.apply(void 0,a);if(0===o)throw new Error(\"Input not in general position\");for(var l=new Array(i+1),c=0;c<=i;++c)l[c]=c;o<0&&(l[0]=1,l[1]=0);for(var h=new n(l,new Array(i+1),!1),f=h.adjacent,d=new Array(i+2),c=0;c<=i;++c){for(var p=l.slice(),m=0;m<=i;++m)m===c&&(p[m]=-1);var g=p[0];p[0]=p[1],p[1]=g;var v=new n(p,new Array(i+1),!0);f[c]=v,d[c]=v}d[i+1]=h;for(var c=0;c<=i;++c)for(var p=f[c].vertices,y=f[c].adjacent,m=0;m<=i;++m){var b=p[m];if(b<0)y[m]=h;else for(var x=0;x<=i;++x)f[x].vertices.indexOf(b)<0&&(y[m]=f[x])}for(var _=new s(i,a,d),w=!!e,c=i+1;c<r;++c)_.insert(t[c],w);return _.boundary()}e.exports=l;var u=t(\"robust-orientation\"),c=t(\"simplicial-complex\").compareCells;n.prototype.flip=function(){var t=this.vertices[0];this.vertices[0]=this.vertices[1],this.vertices[1]=t;var e=this.adjacent[0];this.adjacent[0]=this.adjacent[1],this.adjacent[1]=e};var h=[],f=s.prototype;f.handleBoundaryDegeneracy=function(t,e){var r=this.dimension,n=this.vertices.length-1,i=this.tuple,a=this.vertices,o=[t];for(t.lastVisited=-n;o.length>0;){t=o.pop();for(var s=(t.vertices,t.adjacent),l=0;l<=r;++l){var u=s[l];if(u.boundary&&!(u.lastVisited<=-n)){for(var c=u.vertices,h=0;h<=r;++h){var f=c[h];i[h]=f<0?e:a[f]}var d=this.orient();if(d>0)return u;u.lastVisited=-n,0===d&&o.push(u)}}}return null},f.walk=function(t,e){var r=this.vertices.length-1,n=this.dimension,i=this.vertices,a=this.tuple,o=e?this.interior.length*Math.random()|0:this.interior.length-1,s=this.interior[o];t:for(;!s.boundary;){for(var l=s.vertices,u=s.adjacent,c=0;c<=n;++c)a[c]=i[l[c]];s.lastVisited=r;for(var c=0;c<=n;++c){var h=u[c];if(!(h.lastVisited>=r)){var f=a[c];a[c]=t;var d=this.orient();if(a[c]=f,d<0){s=h;continue t}h.boundary?h.lastVisited=-r:h.lastVisited=r}}return}return s},f.addPeaks=function(t,e){var r=this.vertices.length-1,o=this.dimension,s=this.vertices,l=this.tuple,u=this.interior,c=this.simplices,h=[e];e.lastVisited=r,e.vertices[e.vertices.indexOf(-1)]=r,e.boundary=!1,u.push(e);for(var f=[];h.length>0;){var e=h.pop(),d=e.vertices,p=e.adjacent,m=d.indexOf(r);if(!(m<0))for(var g=0;g<=o;++g)if(g!==m){var v=p[g];if(v.boundary&&!(v.lastVisited>=r)){var y=v.vertices;if(v.lastVisited!==-r){for(var b=0,x=0;x<=o;++x)y[x]<0?(b=x,l[x]=t):l[x]=s[y[x]];var _=this.orient();if(_>0){y[b]=r,v.boundary=!1,u.push(v),h.push(v),v.lastVisited=r;continue}v.lastVisited=-r}var w=v.adjacent,M=d.slice(),k=p.slice(),A=new n(M,k,!0);c.push(A);var T=w.indexOf(e);if(!(T<0)){w[T]=A,k[m]=v,M[g]=-1,k[g]=e,p[g]=A,A.flip();for(var x=0;x<=o;++x){var S=M[x];if(!(S<0||S===r)){for(var E=new Array(o-1),L=0,C=0;C<=o;++C){var z=M[C];z<0||C===x||(E[L++]=z)}f.push(new i(E,A,x))}}}}}}f.sort(a);for(var g=0;g+1<f.length;g+=2){var D=f[g],I=f[g+1],P=D.index,O=I.index;P<0||O<0||(D.cell.adjacent[D.index]=I.cell,I.cell.adjacent[I.index]=D.cell)}},f.insert=function(t,e){var r=this.vertices;r.push(t);var n=this.walk(t,e);if(n){for(var i=this.dimension,a=this.tuple,o=0;o<=i;++o){var s=n.vertices[o];a[o]=s<0?t:r[s]}var l=this.orient(a);l<0||(0!==l||(n=this.handleBoundaryDegeneracy(n,t)))&&this.addPeaks(t,n)}},f.boundary=function(){for(var t=this.dimension,e=[],r=this.simplices,n=r.length,i=0;i<n;++i){var a=r[i];if(a.boundary){for(var o=new Array(t),s=a.vertices,l=0,u=0,c=0;c<=t;++c)s[c]>=0?o[l++]=s[c]:u=1&c;if(u===(1&t)){var h=o[0];o[0]=o[1],o[1]=h}e.push(o)}}return e}},{\"robust-orientation\":489,\"simplicial-complex\":500}],274:[function(t,e,r){\"use strict\";function 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opacity\\n\\n    // unencode the extrusion vector that we snuck into the a_pos vector\\n    v_extrude = vec2(mod(a_pos, 2.0) * 2.0 - 1.0);\\n\\n    vec2 extrude = v_extrude * radius * u_extrude_scale;\\n    // multiply a_pos by 0.5, since we had it * 2 in order to sneak\\n    // in extrusion data\\n    gl_Position = u_matrix * vec4(floor(a_pos * 0.5), 0, 1);\\n\\n    if (u_scale_with_map) {\\n        gl_Position.xy += extrude;\\n    } else {\\n        gl_Position.xy += extrude * gl_Position.w;\\n    }\\n\\n    // This is a minimum blur distance that serves as a faux-antialiasing for\\n    // the circle. since blur is a ratio of the circle's size and the intent is\\n    // to keep the blur at roughly 1px, the two are inversely related.\\n    v_antialiasblur = 1.0 / u_devicepixelratio / radius;\\n}\\n\"},line:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform lowp vec4 u_color;\\nuniform lowp float u_opacity;\\nuniform float u_blur;\\n\\nvarying vec2 v_linewidth;\\nvarying vec2 v_normal;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    // Calculate the distance of the pixel from the line in pixels.\\n    float dist = length(v_normal) * v_linewidth.s;\\n\\n    // Calculate the antialiasing fade factor. This is either when fading in\\n    // the line in case of an offset line (v_linewidth.t) or when fading out\\n    // (v_linewidth.s)\\n    float blur = u_blur * v_gamma_scale;\\n    float alpha = clamp(min(dist - (v_linewidth.t - blur), v_linewidth.s - dist) / blur, 0.0, 1.0);\\n\\n    gl_FragColor = u_color * (alpha * u_opacity);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\n// floor(127 / 2) == 63.0\\n// the maximum allowed miter limit is 2.0 at the moment. the extrude normal is\\n// stored in a byte (-128..127). we scale regular normals up to length 63, but\\n// there are also \\\"special\\\" normals that have a bigger length (of up to 126 in\\n// this case).\\n// #define scale 63.0\\n#define scale 0.015873016\\n\\nattribute vec2 a_pos;\\nattribute vec4 a_data;\\n\\nuniform mat4 u_matrix;\\nuniform mediump float u_ratio;\\nuniform mediump float u_linewidth;\\nuniform mediump float u_gapwidth;\\nuniform mediump float u_antialiasing;\\nuniform mediump float u_extra;\\nuniform mat2 u_antialiasingmatrix;\\nuniform mediump float u_offset;\\nuniform mediump float u_blur;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_linewidth;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    vec2 a_extrude = a_data.xy - 128.0;\\n    float a_direction = mod(a_data.z, 4.0) - 1.0;\\n\\n    // We store the texture normals in the most insignificant bit\\n    // transform y so that 0 => -1 and 1 => 1\\n    // In the texture normal, x is 0 if the normal points straight up/down and 1 if it's a round cap\\n    // y is 1 if the normal points up, and -1 if it points down\\n    mediump vec2 normal = mod(a_pos, 2.0);\\n    normal.y = sign(normal.y - 0.5);\\n    v_normal = normal;\\n\\n    float inset = u_gapwidth + (u_gapwidth > 0.0 ? u_antialiasing : 0.0);\\n    float outset = u_gapwidth + u_linewidth * (u_gapwidth > 0.0 ? 2.0 : 1.0) + u_antialiasing;\\n\\n    // Scale the extrusion vector down to a normal and then up by the line width\\n    // of this vertex.\\n    mediump vec2 dist = outset * a_extrude * scale;\\n\\n    // Calculate the offset when drawing a line that is to the side of the actual line.\\n    // We do this by creating a vector that points towards the extrude, but rotate\\n    // it when we're drawing round end points (a_direction = -1 or 1) since their\\n    // extrude vector points in another direction.\\n    mediump float u = 0.5 * a_direction;\\n    mediump float t = 1.0 - abs(u);\\n    mediump vec2 offset = u_offset * a_extrude * scale * normal.y * mat2(t, -u, u, t);\\n\\n    // Remove the texture normal bit of the position before scaling it with the\\n    // model/view matrix.\\n    gl_Position = u_matrix * vec4(floor(a_pos * 0.5) + (offset + dist) / u_ratio, 0.0, 1.0);\\n\\n    // position of y on the screen\\n    float y = gl_Position.y / gl_Position.w;\\n\\n    // how much features are squished in the y direction by the tilt\\n    float squish_scale = length(a_extrude) / length(u_antialiasingmatrix * a_extrude);\\n\\n    // how much features are squished in all directions by the perspectiveness\\n    float perspective_scale = 1.0 / (1.0 - min(y * u_extra, 0.9));\\n\\n    v_linewidth = vec2(outset, inset);\\n    v_gamma_scale = perspective_scale * squish_scale;\\n}\\n\"},linepattern:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform float u_blur;\\n\\nuniform vec2 u_pattern_size_a;\\nuniform vec2 u_pattern_size_b;\\nuniform vec2 u_pattern_tl_a;\\nuniform vec2 u_pattern_br_a;\\nuniform vec2 u_pattern_tl_b;\\nuniform vec2 u_pattern_br_b;\\nuniform float u_fade;\\nuniform float u_opacity;\\n\\nuniform sampler2D u_image;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_linewidth;\\nvarying float v_linesofar;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    // Calculate the distance of the pixel from the line in pixels.\\n    float dist = length(v_normal) * v_linewidth.s;\\n\\n    // Calculate the antialiasing fade factor. This is either when fading in\\n    // the line in case of an offset line (v_linewidth.t) or when fading out\\n    // (v_linewidth.s)\\n    float blur = u_blur * v_gamma_scale;\\n    float alpha = clamp(min(dist - (v_linewidth.t - blur), v_linewidth.s - dist) / blur, 0.0, 1.0);\\n\\n    float x_a = mod(v_linesofar / u_pattern_size_a.x, 1.0);\\n    float x_b = mod(v_linesofar / u_pattern_size_b.x, 1.0);\\n    float y_a = 0.5 + (v_normal.y * v_linewidth.s / u_pattern_size_a.y);\\n    float y_b = 0.5 + (v_normal.y * v_linewidth.s / u_pattern_size_b.y);\\n    vec2 pos_a = mix(u_pattern_tl_a, u_pattern_br_a, vec2(x_a, y_a));\\n    vec2 pos_b = mix(u_pattern_tl_b, u_pattern_br_b, vec2(x_b, y_b));\\n\\n    vec4 color = mix(texture2D(u_image, pos_a), texture2D(u_image, pos_b), u_fade);\\n\\n    alpha *= u_opacity;\\n\\n    gl_FragColor = color * alpha;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\n// floor(127 / 2) == 63.0\\n// the maximum allowed miter limit is 2.0 at the moment. the extrude normal is\\n// stored in a byte (-128..127). we scale regular normals up to length 63, but\\n// there are also \\\"special\\\" normals that have a bigger length (of up to 126 in\\n// this case).\\n// #define scale 63.0\\n#define scale 0.015873016\\n\\n// We scale the distance before adding it to the buffers so that we can store\\n// long distances for long segments. Use this value to unscale the distance.\\n#define LINE_DISTANCE_SCALE 2.0\\n\\nattribute vec2 a_pos;\\nattribute vec4 a_data;\\n\\nuniform mat4 u_matrix;\\nuniform mediump float u_ratio;\\nuniform mediump float u_linewidth;\\nuniform mediump float u_gapwidth;\\nuniform mediump float u_antialiasing;\\nuniform mediump float u_extra;\\nuniform mat2 u_antialiasingmatrix;\\nuniform mediump float u_offset;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_linewidth;\\nvarying float v_linesofar;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    vec2 a_extrude = a_data.xy - 128.0;\\n    float a_direction = mod(a_data.z, 4.0) - 1.0;\\n    float a_linesofar = (floor(a_data.z / 4.0) + a_data.w * 64.0) * LINE_DISTANCE_SCALE;\\n\\n    // We store the texture normals in the most insignificant bit\\n    // transform y so that 0 => -1 and 1 => 1\\n    // In the texture normal, x is 0 if the normal points straight up/down and 1 if it's a round cap\\n    // y is 1 if the normal points up, and -1 if it points down\\n    mediump vec2 normal = mod(a_pos, 2.0);\\n    normal.y = sign(normal.y - 0.5);\\n    v_normal = normal;\\n\\n    float inset = u_gapwidth + (u_gapwidth > 0.0 ? u_antialiasing : 0.0);\\n    float outset = u_gapwidth + u_linewidth * (u_gapwidth > 0.0 ? 2.0 : 1.0) + u_antialiasing;\\n\\n    // Scale the extrusion vector down to a normal and then up by the line width\\n    // of this vertex.\\n    mediump vec2 dist = outset * a_extrude * scale;\\n\\n    // Calculate the offset when drawing a line that is to the side of the actual line.\\n    // We do this by creating a vector that points towards the extrude, but rotate\\n    // it when we're drawing round end points (a_direction = -1 or 1) since their\\n    // extrude vector points in another direction.\\n    mediump float u = 0.5 * a_direction;\\n    mediump float t = 1.0 - abs(u);\\n    mediump vec2 offset = u_offset * a_extrude * scale * normal.y * mat2(t, -u, u, t);\\n\\n    // Remove the texture normal bit of the position before scaling it with the\\n    // model/view matrix.\\n    gl_Position = u_matrix * vec4(floor(a_pos * 0.5) + (offset + dist) / u_ratio, 0.0, 1.0);\\n    v_linesofar = a_linesofar;\\n\\n    // position of y on the screen\\n    float y = gl_Position.y / gl_Position.w;\\n\\n    // how much features are squished in the y direction by the tilt\\n    float squish_scale = length(a_extrude) / length(u_antialiasingmatrix * a_extrude);\\n\\n    // how much features are squished in all directions by the perspectiveness\\n    float perspective_scale = 1.0 / (1.0 - min(y * u_extra, 0.9));\\n\\n    v_linewidth = vec2(outset, inset);\\n    v_gamma_scale = perspective_scale * squish_scale;\\n}\\n\"},linesdfpattern:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform lowp vec4 u_color;\\nuniform lowp float u_opacity;\\n\\nuniform float u_blur;\\nuniform sampler2D u_image;\\nuniform float u_sdfgamma;\\nuniform float u_mix;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_linewidth;\\nvarying vec2 v_tex_a;\\nvarying vec2 v_tex_b;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    // Calculate the distance of the pixel from the line in pixels.\\n    float dist = length(v_normal) * v_linewidth.s;\\n\\n    // Calculate the antialiasing fade factor. This is either when fading in\\n    // the line in case of an offset line (v_linewidth.t) or when fading out\\n    // (v_linewidth.s)\\n    float blur = u_blur * v_gamma_scale;\\n    float alpha = clamp(min(dist - (v_linewidth.t - blur), v_linewidth.s - dist) / blur, 0.0, 1.0);\\n\\n    float sdfdist_a = texture2D(u_image, v_tex_a).a;\\n    float sdfdist_b = texture2D(u_image, v_tex_b).a;\\n    float sdfdist = mix(sdfdist_a, sdfdist_b, u_mix);\\n    alpha *= smoothstep(0.5 - u_sdfgamma, 0.5 + u_sdfgamma, sdfdist);\\n\\n    gl_FragColor = u_color * (alpha * u_opacity);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\n// floor(127 / 2) == 63.0\\n// the maximum allowed miter limit is 2.0 at the moment. the extrude normal is\\n// stored in a byte (-128..127). we scale regular normals up to length 63, but\\n// there are also \\\"special\\\" normals that have a bigger length (of up to 126 in\\n// this case).\\n// #define scale 63.0\\n#define scale 0.015873016\\n\\n// We scale the distance before adding it to the buffers so that we can store\\n// long distances for long segments. Use this value to unscale the distance.\\n#define LINE_DISTANCE_SCALE 2.0\\n\\nattribute vec2 a_pos;\\nattribute vec4 a_data;\\n\\nuniform mat4 u_matrix;\\nuniform mediump float u_ratio;\\nuniform mediump float u_linewidth;\\nuniform mediump float u_gapwidth;\\nuniform mediump float u_antialiasing;\\nuniform vec2 u_patternscale_a;\\nuniform float u_tex_y_a;\\nuniform vec2 u_patternscale_b;\\nuniform float u_tex_y_b;\\nuniform float u_extra;\\nuniform mat2 u_antialiasingmatrix;\\nuniform mediump float u_offset;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_linewidth;\\nvarying vec2 v_tex_a;\\nvarying vec2 v_tex_b;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    vec2 a_extrude = a_data.xy - 128.0;\\n    float a_direction = mod(a_data.z, 4.0) - 1.0;\\n    float a_linesofar = (floor(a_data.z / 4.0) + a_data.w * 64.0) * LINE_DISTANCE_SCALE;\\n\\n    // We store the texture normals in the most insignificant bit\\n    // transform y so that 0 => -1 and 1 => 1\\n    // In the texture normal, x is 0 if the normal points straight up/down and 1 if it's a round cap\\n    // y is 1 if the normal points up, and -1 if it points down\\n    mediump vec2 normal = mod(a_pos, 2.0);\\n    normal.y = sign(normal.y - 0.5);\\n    v_normal = normal;\\n\\n    float inset = u_gapwidth + (u_gapwidth > 0.0 ? u_antialiasing : 0.0);\\n    float outset = u_gapwidth + u_linewidth * (u_gapwidth > 0.0 ? 2.0 : 1.0) + u_antialiasing;\\n\\n    // Scale the extrusion vector down to a normal and then up by the line width\\n    // of this vertex.\\n    mediump vec2 dist = outset * a_extrude * scale;\\n\\n    // Calculate the offset when drawing a line that is to the side of the actual line.\\n    // We do this by creating a vector that points towards the extrude, but rotate\\n    // it when we're drawing round end points (a_direction = -1 or 1) since their\\n    // extrude vector points in another direction.\\n    mediump float u = 0.5 * a_direction;\\n    mediump float t = 1.0 - abs(u);\\n    mediump vec2 offset = u_offset * a_extrude * scale * normal.y * mat2(t, -u, u, t);\\n\\n    // Remove the texture normal bit of the position before scaling it with the\\n    // model/view matrix.\\n    gl_Position = u_matrix * vec4(floor(a_pos * 0.5) + (offset + dist) / u_ratio, 0.0, 1.0);\\n\\n    v_tex_a = vec2(a_linesofar * u_patternscale_a.x, normal.y * u_patternscale_a.y + u_tex_y_a);\\n    v_tex_b = vec2(a_linesofar * u_patternscale_b.x, normal.y * u_patternscale_b.y + u_tex_y_b);\\n\\n    // position of y on the screen\\n    float y = gl_Position.y / gl_Position.w;\\n\\n    // how much features are squished in the y direction by the tilt\\n    float squish_scale = length(a_extrude) / length(u_antialiasingmatrix * a_extrude);\\n\\n    // how much features are squished in all directions by the perspectiveness\\n    float perspective_scale = 1.0 / (1.0 - min(y * u_extra, 0.9));\\n\\n    v_linewidth = vec2(outset, inset);\\n    v_gamma_scale = perspective_scale * squish_scale;\\n}\\n\"},outline:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\n#pragma mapbox: define lowp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\n\\nvarying vec2 v_pos;\\n\\nvoid main() {\\n    #pragma mapbox: initialize lowp vec4 outline_color\\n    #pragma mapbox: initialize lowp float opacity\\n\\n    float dist = length(v_pos - gl_FragCoord.xy);\\n    float alpha = smoothstep(1.0, 0.0, dist);\\n    gl_FragColor = outline_color * (alpha * opacity);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nattribute vec2 a_pos;\\n\\nuniform mat4 u_matrix;\\nuniform vec2 u_world;\\n\\nvarying vec2 v_pos;\\n\\n#pragma mapbox: define lowp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\n\\nvoid main() {\\n    #pragma mapbox: initialize lowp vec4 outline_color\\n    #pragma mapbox: initialize lowp float opacity\\n\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n    v_pos = (gl_Position.xy / gl_Position.w + 1.0) / 2.0 * u_world;\\n}\\n\"},outlinepattern:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform float u_opacity;\\nuniform vec2 u_pattern_tl_a;\\nuniform vec2 u_pattern_br_a;\\nuniform vec2 u_pattern_tl_b;\\nuniform vec2 u_pattern_br_b;\\nuniform float u_mix;\\n\\nuniform sampler2D u_image;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\nvarying vec2 v_pos;\\n\\nvoid main() {\\n    vec2 imagecoord = mod(v_pos_a, 1.0);\\n    vec2 pos = mix(u_pattern_tl_a, u_pattern_br_a, imagecoord);\\n    vec4 color1 = texture2D(u_image, pos);\\n\\n    vec2 imagecoord_b = mod(v_pos_b, 1.0);\\n    vec2 pos2 = mix(u_pattern_tl_b, u_pattern_br_b, imagecoord_b);\\n    vec4 color2 = texture2D(u_image, pos2);\\n\\n    // find distance to outline for alpha interpolation\\n\\n    float dist = length(v_pos - gl_FragCoord.xy);\\n    float alpha = smoothstep(1.0, 0.0, dist);\\n    \\n\\n    gl_FragColor = mix(color1, color2, u_mix) * alpha * u_opacity;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform vec2 u_pattern_size_a;\\nuniform vec2 u_pattern_size_b;\\nuniform vec2 u_pixel_coord_upper;\\nuniform vec2 u_pixel_coord_lower;\\nuniform float u_scale_a;\\nuniform float u_scale_b;\\nuniform float u_tile_units_to_pixels;\\n\\nattribute vec2 a_pos;\\n\\nuniform mat4 u_matrix;\\nuniform vec2 u_world;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\nvarying vec2 v_pos;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n    vec2 scaled_size_a = u_scale_a * u_pattern_size_a;\\n    vec2 scaled_size_b = u_scale_b * u_pattern_size_b;\\n\\n    // the correct offset needs to be calculated.\\n    //\\n    // The offset depends on how many pixels are between the world origin and\\n    // the edge of the tile:\\n    // vec2 offset = mod(pixel_coord, size)\\n    //\\n    // At high zoom levels there are a ton of pixels between the world origin\\n    // and the edge of the tile. The glsl spec only guarantees 16 bits of\\n    // precision for highp floats. We need more than that.\\n    //\\n    // The pixel_coord is passed in as two 16 bit values:\\n    // pixel_coord_upper = floor(pixel_coord / 2^16)\\n    // pixel_coord_lower = mod(pixel_coord, 2^16)\\n    //\\n    // The offset is calculated in a series of steps that should preserve this precision:\\n    vec2 offset_a = mod(mod(mod(u_pixel_coord_upper, scaled_size_a) * 256.0, scaled_size_a) * 256.0 + u_pixel_coord_lower, scaled_size_a);\\n    vec2 offset_b = mod(mod(mod(u_pixel_coord_upper, scaled_size_b) * 256.0, scaled_size_b) * 256.0 + u_pixel_coord_lower, scaled_size_b);\\n\\n    v_pos_a = (u_tile_units_to_pixels * a_pos + offset_a) / scaled_size_a;\\n    v_pos_b = (u_tile_units_to_pixels * a_pos + offset_b) / scaled_size_b;\\n\\n    v_pos = (gl_Position.xy / gl_Position.w + 1.0) / 2.0 * u_world;\\n}\\n\"},pattern:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform float u_opacity;\\nuniform vec2 u_pattern_tl_a;\\nuniform vec2 u_pattern_br_a;\\nuniform vec2 u_pattern_tl_b;\\nuniform vec2 u_pattern_br_b;\\nuniform float u_mix;\\n\\nuniform sampler2D u_image;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\n\\nvoid main() {\\n\\n    vec2 imagecoord = mod(v_pos_a, 1.0);\\n    vec2 pos = mix(u_pattern_tl_a, u_pattern_br_a, imagecoord);\\n    vec4 color1 = texture2D(u_image, pos);\\n\\n    vec2 imagecoord_b = mod(v_pos_b, 1.0);\\n    vec2 pos2 = mix(u_pattern_tl_b, u_pattern_br_b, imagecoord_b);\\n    vec4 color2 = texture2D(u_image, pos2);\\n\\n    gl_FragColor = mix(color1, color2, u_mix) * u_opacity;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform mat4 u_matrix;\\nuniform vec2 u_pattern_size_a;\\nuniform vec2 u_pattern_size_b;\\nuniform vec2 u_pixel_coord_upper;\\nuniform vec2 u_pixel_coord_lower;\\nuniform float u_scale_a;\\nuniform float u_scale_b;\\nuniform float u_tile_units_to_pixels;\\n\\nattribute vec2 a_pos;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n    vec2 scaled_size_a = u_scale_a * u_pattern_size_a;\\n    vec2 scaled_size_b = u_scale_b * u_pattern_size_b;\\n\\n    // the correct offset needs to be calculated.\\n    //\\n    // The offset depends on how many pixels are between the world origin and\\n    // the edge of the tile:\\n    // vec2 offset = mod(pixel_coord, size)\\n    //\\n    // At high zoom levels there are a ton of pixels between the world origin\\n    // and the edge of the tile. The glsl spec only guarantees 16 bits of\\n    // precision for highp floats. We need more than that.\\n    //\\n    // The pixel_coord is passed in as two 16 bit values:\\n    // pixel_coord_upper = floor(pixel_coord / 2^16)\\n    // pixel_coord_lower = mod(pixel_coord, 2^16)\\n    //\\n    // The offset is calculated in a series of steps that should preserve this precision:\\n    vec2 offset_a = mod(mod(mod(u_pixel_coord_upper, scaled_size_a) * 256.0, scaled_size_a) * 256.0 + u_pixel_coord_lower, scaled_size_a);\\n    vec2 offset_b = mod(mod(mod(u_pixel_coord_upper, scaled_size_b) * 256.0, scaled_size_b) * 256.0 + u_pixel_coord_lower, scaled_size_b);\\n\\n    v_pos_a = (u_tile_units_to_pixels * a_pos + offset_a) / scaled_size_a;\\n    v_pos_b = (u_tile_units_to_pixels * a_pos + offset_b) / scaled_size_b;\\n}\\n\"},raster:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform float u_opacity0;\\nuniform float u_opacity1;\\nuniform sampler2D u_image0;\\nuniform sampler2D u_image1;\\nvarying vec2 v_pos0;\\nvarying vec2 v_pos1;\\n\\nuniform float u_brightness_low;\\nuniform float u_brightness_high;\\n\\nuniform float u_saturation_factor;\\nuniform float u_contrast_factor;\\nuniform vec3 u_spin_weights;\\n\\nvoid main() {\\n\\n    // read and cross-fade colors from the main and parent tiles\\n    vec4 color0 = texture2D(u_image0, v_pos0);\\n    vec4 color1 = texture2D(u_image1, v_pos1);\\n    vec4 color = color0 * u_opacity0 + color1 * u_opacity1;\\n    vec3 rgb = color.rgb;\\n\\n    // spin\\n    rgb = vec3(\\n        dot(rgb, u_spin_weights.xyz),\\n        dot(rgb, u_spin_weights.zxy),\\n        dot(rgb, u_spin_weights.yzx));\\n\\n    // saturation\\n    float average = (color.r + color.g + color.b) / 3.0;\\n    rgb += (average - rgb) * u_saturation_factor;\\n\\n    // contrast\\n    rgb = (rgb - 0.5) * u_contrast_factor + 0.5;\\n\\n    // brightness\\n    vec3 u_high_vec = vec3(u_brightness_low, u_brightness_low, u_brightness_low);\\n    vec3 u_low_vec = vec3(u_brightness_high, u_brightness_high, u_brightness_high);\\n\\n    gl_FragColor = vec4(mix(u_high_vec, u_low_vec, rgb), color.a);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",\n",
       "vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform mat4 u_matrix;\\nuniform vec2 u_tl_parent;\\nuniform float u_scale_parent;\\nuniform float u_buffer_scale;\\n\\nattribute vec2 a_pos;\\nattribute vec2 a_texture_pos;\\n\\nvarying vec2 v_pos0;\\nvarying vec2 v_pos1;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n    v_pos0 = (((a_texture_pos / 32767.0) - 0.5) / u_buffer_scale ) + 0.5;\\n    v_pos1 = (v_pos0 * u_scale_parent) + u_tl_parent;\\n}\\n\"},icon:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform sampler2D u_texture;\\nuniform sampler2D u_fadetexture;\\nuniform lowp float u_opacity;\\n\\nvarying vec2 v_tex;\\nvarying vec2 v_fade_tex;\\n\\nvoid main() {\\n    lowp float alpha = texture2D(u_fadetexture, v_fade_tex).a * u_opacity;\\n    gl_FragColor = texture2D(u_texture, v_tex) * alpha;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nattribute vec2 a_pos;\\nattribute vec2 a_offset;\\nattribute vec2 a_texture_pos;\\nattribute vec4 a_data;\\n\\n\\n// matrix is for the vertex position.\\nuniform mat4 u_matrix;\\n\\nuniform mediump float u_zoom;\\nuniform bool u_rotate_with_map;\\nuniform vec2 u_extrude_scale;\\n\\nuniform vec2 u_texsize;\\n\\nvarying vec2 v_tex;\\nvarying vec2 v_fade_tex;\\n\\nvoid main() {\\n    vec2 a_tex = a_texture_pos.xy;\\n    mediump float a_labelminzoom = a_data[0];\\n    mediump vec2 a_zoom = a_data.pq;\\n    mediump float a_minzoom = a_zoom[0];\\n    mediump float a_maxzoom = a_zoom[1];\\n\\n    // u_zoom is the current zoom level adjusted for the change in font size\\n    mediump float z = 2.0 - step(a_minzoom, u_zoom) - (1.0 - step(a_maxzoom, u_zoom));\\n\\n    vec2 extrude = u_extrude_scale * (a_offset / 64.0);\\n    if (u_rotate_with_map) {\\n        gl_Position = u_matrix * vec4(a_pos + extrude, 0, 1);\\n        gl_Position.z += z * gl_Position.w;\\n    } else {\\n        gl_Position = u_matrix * vec4(a_pos, 0, 1) + vec4(extrude, 0, 0);\\n    }\\n\\n    v_tex = a_tex / u_texsize;\\n    v_fade_tex = vec2(a_labelminzoom / 255.0, 0.0);\\n}\\n\"},sdf:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform sampler2D u_texture;\\nuniform sampler2D u_fadetexture;\\nuniform lowp vec4 u_color;\\nuniform lowp float u_opacity;\\nuniform lowp float u_buffer;\\nuniform lowp float u_gamma;\\n\\nvarying vec2 v_tex;\\nvarying vec2 v_fade_tex;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    lowp float dist = texture2D(u_texture, v_tex).a;\\n    lowp float fade_alpha = texture2D(u_fadetexture, v_fade_tex).a;\\n    lowp float gamma = u_gamma * v_gamma_scale;\\n    lowp float alpha = smoothstep(u_buffer - gamma, u_buffer + gamma, dist) * fade_alpha;\\n\\n    gl_FragColor = u_color * (alpha * u_opacity);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nconst float PI = 3.141592653589793;\\n\\nattribute vec2 a_pos;\\nattribute vec2 a_offset;\\nattribute vec2 a_texture_pos;\\nattribute vec4 a_data;\\n\\n\\n// matrix is for the vertex position.\\nuniform mat4 u_matrix;\\n\\nuniform mediump float u_zoom;\\nuniform bool u_rotate_with_map;\\nuniform bool u_pitch_with_map;\\nuniform mediump float u_pitch;\\nuniform mediump float u_bearing;\\nuniform mediump float u_aspect_ratio;\\nuniform vec2 u_extrude_scale;\\n\\nuniform vec2 u_texsize;\\n\\nvarying vec2 v_tex;\\nvarying vec2 v_fade_tex;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    vec2 a_tex = a_texture_pos.xy;\\n    mediump float a_labelminzoom = a_data[0];\\n    mediump vec2 a_zoom = a_data.pq;\\n    mediump float a_minzoom = a_zoom[0];\\n    mediump float a_maxzoom = a_zoom[1];\\n\\n    // u_zoom is the current zoom level adjusted for the change in font size\\n    mediump float z = 2.0 - step(a_minzoom, u_zoom) - (1.0 - step(a_maxzoom, u_zoom));\\n\\n    // pitch-alignment: map\\n    // rotation-alignment: map | viewport\\n    if (u_pitch_with_map) {\\n        lowp float angle = u_rotate_with_map ? (a_data[1] / 256.0 * 2.0 * PI) : u_bearing;\\n        lowp float asin = sin(angle);\\n        lowp float acos = cos(angle);\\n        mat2 RotationMatrix = mat2(acos, asin, -1.0 * asin, acos);\\n        vec2 offset = RotationMatrix * a_offset;\\n        vec2 extrude = u_extrude_scale * (offset / 64.0);\\n        gl_Position = u_matrix * vec4(a_pos + extrude, 0, 1);\\n        gl_Position.z += z * gl_Position.w;\\n    // pitch-alignment: viewport\\n    // rotation-alignment: map\\n    } else if (u_rotate_with_map) {\\n        // foreshortening factor to apply on pitched maps\\n        // as a label goes from horizontal <=> vertical in angle\\n        // it goes from 0% foreshortening to up to around 70% foreshortening\\n        lowp float pitchfactor = 1.0 - cos(u_pitch * sin(u_pitch * 0.75));\\n\\n        lowp float lineangle = a_data[1] / 256.0 * 2.0 * PI;\\n\\n        // use the lineangle to position points a,b along the line\\n        // project the points and calculate the label angle in projected space\\n        // this calculation allows labels to be rendered unskewed on pitched maps\\n        vec4 a = u_matrix * vec4(a_pos, 0, 1);\\n        vec4 b = u_matrix * vec4(a_pos + vec2(cos(lineangle),sin(lineangle)), 0, 1);\\n        lowp float angle = atan((b[1]/b[3] - a[1]/a[3])/u_aspect_ratio, b[0]/b[3] - a[0]/a[3]);\\n        lowp float asin = sin(angle);\\n        lowp float acos = cos(angle);\\n        mat2 RotationMatrix = mat2(acos, -1.0 * asin, asin, acos);\\n\\n        vec2 offset = RotationMatrix * (vec2((1.0-pitchfactor)+(pitchfactor*cos(angle*2.0)), 1.0) * a_offset);\\n        vec2 extrude = u_extrude_scale * (offset / 64.0);\\n        gl_Position = u_matrix * vec4(a_pos, 0, 1) + vec4(extrude, 0, 0);\\n        gl_Position.z += z * gl_Position.w;\\n    // pitch-alignment: viewport\\n    // rotation-alignment: viewport\\n    } else {\\n        vec2 extrude = u_extrude_scale * (a_offset / 64.0);\\n        gl_Position = u_matrix * vec4(a_pos, 0, 1) + vec4(extrude, 0, 0);\\n    }\\n\\n    v_gamma_scale = (gl_Position.w - 0.5);\\n\\n    v_tex = a_tex / u_texsize;\\n    v_fade_tex = vec2(a_labelminzoom / 255.0, 0.0);\\n}\\n\"},collisionbox:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform float u_zoom;\\nuniform float u_maxzoom;\\n\\nvarying float v_max_zoom;\\nvarying float v_placement_zoom;\\n\\nvoid main() {\\n\\n    float alpha = 0.5;\\n\\n    gl_FragColor = vec4(0.0, 1.0, 0.0, 1.0) * alpha;\\n\\n    if (v_placement_zoom > u_zoom) {\\n        gl_FragColor = vec4(1.0, 0.0, 0.0, 1.0) * alpha;\\n    }\\n\\n    if (u_zoom >= v_max_zoom) {\\n        gl_FragColor = vec4(0.0, 0.0, 0.0, 1.0) * alpha * 0.25;\\n    }\\n\\n    if (v_placement_zoom >= u_maxzoom) {\\n        gl_FragColor = vec4(0.0, 0.0, 1.0, 1.0) * alpha * 0.2;\\n    }\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nattribute vec2 a_pos;\\nattribute vec2 a_extrude;\\nattribute vec2 a_data;\\n\\nuniform mat4 u_matrix;\\nuniform float u_scale;\\n\\nvarying float v_max_zoom;\\nvarying float v_placement_zoom;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos + a_extrude / u_scale, 0.0, 1.0);\\n\\n    v_max_zoom = a_data.x;\\n    v_placement_zoom = a_data.y;\\n}\\n\"}},e.exports.util=\"float evaluate_zoom_function_1(const vec4 values, const float t) {\\n    if (t < 1.0) {\\n        return mix(values[0], values[1], t);\\n    } else if (t < 2.0) {\\n        return mix(values[1], values[2], t - 1.0);\\n    } else {\\n        return mix(values[2], values[3], t - 2.0);\\n    }\\n}\\nvec4 evaluate_zoom_function_4(const vec4 value0, const vec4 value1, const vec4 value2, const vec4 value3, const float t) {\\n    if (t < 1.0) {\\n        return mix(value0, value1, t);\\n    } else if (t < 2.0) {\\n        return mix(value1, value2, t - 1.0);\\n    } else {\\n        return 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o({key:r+\".type\",value:e.type,valueSpec:{values:[\"vector\",\"raster\",\"geojson\",\"video\",\"image\"]},style:l,styleSpec:s})}}},{\"../error/validation_error\":286,\"../util/unbundle_jsonlint\":289,\"./validate_enum\":295,\"./validate_object\":302}],305:[function(t,e,r){\"use strict\";var n=t(\"../util/get_type\"),i=t(\"../error/validation_error\");e.exports=function(t){var e=t.value,r=t.key,a=n(e);return\"string\"!==a?[new i(r,e,\"string expected, %s found\",a)]:[]}},{\"../error/validation_error\":286,\"../util/get_type\":288}],306:[function(t,e,r){\"use strict\";function n(t,e){e=e||l;var r=[];return r=r.concat(s({key:\"\",value:t,valueSpec:e.$root,styleSpec:e,style:t,objectElementValidators:{glyphs:u}})),e.$version>7&&t.constants&&(r=r.concat(o({key:\"constants\",value:t.constants,style:t,styleSpec:e}))),i(r)}function i(t){return[].concat(t).sort(function(t,e){return t.line-e.line})}function a(t){return function(){return i(t.apply(this,arguments))}}var 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new({fill:t(\"./bucket/fill_bucket\"),line:t(\"./bucket/line_bucket\"),circle:t(\"./bucket/circle_bucket\"),symbol:t(\"./bucket/symbol_bucket\")}[e.layer.type])(e)},n.EXTENT=8192,n.prototype.populateArrays=function(){this.createArrays(),this.recalculateStyleLayers();for(var t=0;t<this.features.length;t++)this.addFeature(this.features[t]);this.trimArrays()},n.prototype.prepareArrayGroup=function(t,e){var r=this.arrayGroups[t],n=r.length&&r[r.length-1];return n&&n.hasCapacityFor(e)||(n=new l({layoutVertexArrayType:this.programInterfaces[t].layoutVertexArrayType,elementArrayType:this.programInterfaces[t].elementArrayType,elementArrayType2:this.programInterfaces[t].elementArrayType2,paintVertexArrayTypes:this.paintVertexArrayTypes[t]}),n.index=r.length,r.push(n)),n},n.prototype.createArrays=function(){this.arrayGroups={},this.paintVertexArrayTypes={};for(var t in this.programInterfaces){this.arrayGroups[t]=[];var e=this.paintVertexArrayTypes[t]={},r=this.paintAttributes[t];for(var i in 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t.serialize()})}),paintVertexArrayTypes:c.mapObject(this.paintVertexArrayTypes,function(t){return c.mapObject(t,function(t){return t.serialize()})}),childLayerIds:this.childLayers.map(function(t){return t.id})}},n.prototype.createFilter=function(){this.filter||(this.filter=s(this.layer.filter))};var d={lastIntegerZoom:1/0,lastIntegerZoomTime:0,lastZoom:0};n.prototype.recalculateStyleLayers=function(){for(var t=0;t<this.childLayers.length;t++)this.childLayers[t].recalculate(this.zoom,d)},n.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a=0;a<this.childLayers.length;a++)for(var o=this.childLayers[a],s=this.arrayGroups[t],l=n.index;l<s.length;l++){var u=s[l],c=u.layoutVertexArray.length,h=u.paintVertexArrays[o.id];h.resize(c);for(var f=this.paintAttributes[t][o.id].attributes,d=0;d<f.length;d++)for(var p=f[d],m=p.getValue(o,e,r),g=p.multiplier||1,v=p.components||1,y=l===n.index?i:0,b=y;b<c;b++)for(var x=h.get(b),_=0;_<v;_++){var w=v>1?p.name+_:p.name;x[w]=m[_]*g}}},n.VertexArrayType=function(t){return new h({members:t,alignment:4})},n.ElementArrayType=function(t){return new h({members:[{type:\"Uint16\",name:\"vertices\",components:t||3}]})}},{\"../util/struct_array\":422,\"../util/util\":424,\"./array_group\":310,\"./bucket/circle_bucket\":312,\"./bucket/fill_bucket\":313,\"./bucket/line_bucket\":314,\"./bucket/symbol_bucket\":315,\"./buffer_group\":317,assert:40,\"feature-filter\":117}],312:[function(t,e,r){\"use strict\";function n(){i.apply(this,arguments)}var i=t(\"../bucket\"),a=t(\"../../util/util\"),o=t(\"../load_geometry\"),s=i.EXTENT;e.exports=n,n.prototype=a.inherit(i,{}),n.prototype.addCircleVertex=function(t,e,r,n,i){return t.emplaceBack(2*e+(n+1)/2,2*r+(i+1)/2)},n.prototype.programInterfaces={circle:{layoutVertexArrayType:new i.VertexArrayType([{name:\"a_pos\",components:2,type:\"Int16\"}]),elementArrayType:new i.ElementArrayType,paintAttributes:[{name:\"a_color\",components:4,type:\"Uint8\",getValue:function(t,e,r){return t.getPaintValue(\"circle-color\",e,r)},multiplier:255,paintProperty:\"circle-color\"},{name:\"a_radius\",components:1,type:\"Uint16\",isLayerConstant:!1,getValue:function(t,e,r){return[t.getPaintValue(\"circle-radius\",e,r)]},multiplier:10,paintProperty:\"circle-radius\"},{name:\"a_blur\",components:1,type:\"Uint16\",isLayerConstant:!1,getValue:function(t,e,r){return[t.getPaintValue(\"circle-blur\",e,r)]},multiplier:10,paintProperty:\"circle-blur\"},{name:\"a_opacity\",components:1,type:\"Uint16\",isLayerConstant:!1,getValue:function(t,e,r){return[t.getPaintValue(\"circle-opacity\",e,r)]},multiplier:255,paintProperty:\"circle-opacity\"}]}},n.prototype.addFeature=function(t){for(var e={zoom:this.zoom},r=o(t),n=this.prepareArrayGroup(\"circle\",0),i=n.layoutVertexArray.length,a=0;a<r.length;a++)for(var l=0;l<r[a].length;l++){var u=r[a][l].x,c=r[a][l].y;if(!(u<0||u>=s||c<0||c>=s)){var h=this.prepareArrayGroup(\"circle\",4),f=h.layoutVertexArray,d=this.addCircleVertex(f,u,c,-1,-1);this.addCircleVertex(f,u,c,1,-1),this.addCircleVertex(f,u,c,1,1),this.addCircleVertex(f,u,c,-1,1),h.elementArray.emplaceBack(d,d+1,d+2),h.elementArray.emplaceBack(d,d+3,d+2)}}this.populatePaintArrays(\"circle\",e,t.properties,n,i)}},{\"../../util/util\":424,\"../bucket\":311,\"../load_geometry\":319}],313:[function(t,e,r){\"use strict\";function n(){i.apply(this,arguments)}var i=t(\"../bucket\"),a=t(\"../../util/util\"),o=t(\"../load_geometry\"),s=t(\"earcut\"),l=t(\"../../util/classify_rings\");e.exports=n,n.prototype=a.inherit(i,{}),n.prototype.programInterfaces={fill:{layoutVertexArrayType:new i.VertexArrayType([{name:\"a_pos\",components:2,type:\"Int16\"}]),elementArrayType:new i.ElementArrayType(1),elementArrayType2:new i.ElementArrayType(2),paintAttributes:[{name:\"a_color\",components:4,type:\"Uint8\",getValue:function(t,e,r){return t.getPaintValue(\"fill-color\",e,r)},multiplier:255,paintProperty:\"fill-color\"},{name:\"a_outline_color\",components:4,type:\"Uint8\",getValue:function(t,e,r){return t.getPaintValue(\"fill-outline-color\",e,r)},multiplier:255,paintProperty:\"fill-outline-color\"},{name:\"a_opacity\",components:1,type:\"Uint8\",getValue:function(t,e,r){return[t.getPaintValue(\"fill-opacity\",e,r)]},multiplier:255,paintProperty:\"fill-opacity\"}]}},n.prototype.addFeature=function(t){for(var e=o(t),r=l(e,500),n=this.prepareArrayGroup(\"fill\",0),i=n.layoutVertexArray.length,a=0;a<r.length;a++)this.addPolygon(r[a]);this.populatePaintArrays(\"fill\",{zoom:this.zoom},t.properties,n,i)},n.prototype.addPolygon=function(t){for(var e=0,r=0;r<t.length;r++)e+=t[r].length;for(var n=this.prepareArrayGroup(\"fill\",e),i=[],a=[],o=n.layoutVertexArray.length,l=0;l<t.length;l++){var u=t[l];l>0&&a.push(i.length/2);for(var c=0;c<u.length;c++){var h=u[c],f=n.layoutVertexArray.emplaceBack(h.x,h.y);c>=1&&n.elementArray2.emplaceBack(f-1,f),i.push(h.x),i.push(h.y)}}for(var d=s(i,a),p=0;p<d.length;p++)n.elementArray.emplaceBack(d[p]+o)}},{\"../../util/classify_rings\":412,\"../../util/util\":424,\"../bucket\":311,\"../load_geometry\":319,earcut:111}],314:[function(t,e,r){\"use strict\";function n(){i.apply(this,arguments)}var i=t(\"../bucket\"),a=t(\"../../util/util\"),o=t(\"../load_geometry\"),s=i.EXTENT,l=Math.cos(Math.PI/180*37.5),u=Math.pow(2,14)/.5;e.exports=n,n.prototype=a.inherit(i,{}),n.prototype.addLineVertex=function(t,e,r,n,i,a,o){return t.emplaceBack(e.x<<1|n,e.y<<1|i,Math.round(63*r.x)+128,Math.round(63*r.y)+128,1+(0===a?0:a<0?-1:1)|(.5*o&63)<<2,.5*o>>6)},n.prototype.programInterfaces={line:{layoutVertexArrayType:new i.VertexArrayType([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}]),elementArrayType:new i.ElementArrayType}},n.prototype.addFeature=function(t){for(var e=o(t,15),r=0;r<e.length;r++)this.addLine(e[r],this.layer.layout[\"line-join\"],this.layer.layout[\"line-cap\"],this.layer.layout[\"line-miter-limit\"],this.layer.layout[\"line-round-limit\"])},n.prototype.addLine=function(t,e,r,n,i){for(var a=t.length;a>2&&t[a-1].equals(t[a-2]);)a--;if(!(t.length<2)){\"bevel\"===e&&(n=1.05);var o=s/(512*this.overscaling)*15,u=t[0],c=t[a-1],h=u.equals(c);if(this.prepareArrayGroup(\"line\",10*a),2!==a||!h){this.distance=0;var f,d,p,m,g,v,y,b=r,x=h?\"butt\":r,_=!0;this.e1=this.e2=this.e3=-1,h&&(f=t[a-2],g=u.sub(f)._unit()._perp());for(var w=0;w<a;w++)if(!(p=h&&w===a-1?t[1]:t[w+1])||!t[w].equals(p)){g&&(m=g),f&&(d=f),f=t[w],g=p?p.sub(f)._unit()._perp():m,m=m||g;var M=m.add(g)._unit(),k=M.x*g.x+M.y*g.y,A=1/k,T=k<l&&d&&p;if(T&&w>0){var S=f.dist(d);if(S>2*o){var E=f.sub(f.sub(d)._mult(o/S)._round());this.distance+=E.dist(d),this.addCurrentVertex(E,this.distance,m.mult(1),0,0,!1),d=E}}var L=d&&p,C=L?e:p?b:x;if(L&&\"round\"===C&&(A<i?C=\"miter\":A<=2&&(C=\"fakeround\")),\"miter\"===C&&A>n&&(C=\"bevel\"),\"bevel\"===C&&(A>2&&(C=\"flipbevel\"),A<n&&(C=\"miter\")),d&&(this.distance+=f.dist(d)),\"miter\"===C)M._mult(A),this.addCurrentVertex(f,this.distance,M,0,0,!1);else if(\"flipbevel\"===C){if(A>100)M=g.clone();else{var z=m.x*g.y-m.y*g.x>0?-1:1,D=A*m.add(g).mag()/m.sub(g).mag();M._perp()._mult(D*z)}this.addCurrentVertex(f,this.distance,M,0,0,!1),this.addCurrentVertex(f,this.distance,M.mult(-1),0,0,!1)}else if(\"bevel\"===C||\"fakeround\"===C){var I=m.x*g.y-m.y*g.x>0,P=-Math.sqrt(A*A-1);if(I?(y=0,v=P):(v=0,y=P),_||this.addCurrentVertex(f,this.distance,m,v,y,!1),\"fakeround\"===C){for(var O,j=Math.floor(8*(.5-(k-.5))),R=0;R<j;R++)O=g.mult((R+1)/(j+1))._add(m)._unit(),this.addPieSliceVertex(f,this.distance,O,I);this.addPieSliceVertex(f,this.distance,M,I);for(var F=j-1;F>=0;F--)O=m.mult((F+1)/(j+1))._add(g)._unit(),this.addPieSliceVertex(f,this.distance,O,I)}p&&this.addCurrentVertex(f,this.distance,g,-v,-y,!1)}else\"butt\"===C?(_||this.addCurrentVertex(f,this.distance,m,0,0,!1),p&&this.addCurrentVertex(f,this.distance,g,0,0,!1)):\"square\"===C?(_||(this.addCurrentVertex(f,this.distance,m,1,1,!1),this.e1=this.e2=-1),p&&this.addCurrentVertex(f,this.distance,g,-1,-1,!1)):\"round\"===C&&(_||(this.addCurrentVertex(f,this.distance,m,0,0,!1),this.addCurrentVertex(f,this.distance,m,1,1,!0),this.e1=this.e2=-1),p&&(this.addCurrentVertex(f,this.distance,g,-1,-1,!0),this.addCurrentVertex(f,this.distance,g,0,0,!1)));if(T&&w<a-1){var N=f.dist(p);if(N>2*o){var B=f.add(p.sub(f)._mult(o/N)._round());this.distance+=B.dist(f),this.addCurrentVertex(B,this.distance,g.mult(1),0,0,!1),f=B}}_=!1}}}},n.prototype.addCurrentVertex=function(t,e,r,n,i,a){var o,s=a?1:0,l=this.arrayGroups.line[this.arrayGroups.line.length-1],c=l.layoutVertexArray,h=l.elementArray;o=r.clone(),n&&o._sub(r.perp()._mult(n)),this.e3=this.addLineVertex(c,t,o,s,0,n,e),this.e1>=0&&this.e2>=0&&h.emplaceBack(this.e1,this.e2,this.e3),this.e1=this.e2,this.e2=this.e3,o=r.mult(-1),i&&o._sub(r.perp()._mult(i)),this.e3=this.addLineVertex(c,t,o,s,1,-i,e),this.e1>=0&&this.e2>=0&&h.emplaceBack(this.e1,this.e2,this.e3),this.e1=this.e2,this.e2=this.e3,e>u/2&&(this.distance=0,this.addCurrentVertex(t,this.distance,r,n,i,a))},n.prototype.addPieSliceVertex=function(t,e,r,n){var i=n?1:0;r=r.mult(n?-1:1);var a=this.arrayGroups.line[this.arrayGroups.line.length-1],o=a.layoutVertexArray,s=a.elementArray;this.e3=this.addLineVertex(o,t,r,0,i,0,e),this.e1>=0&&this.e2>=0&&s.emplaceBack(this.e1,this.e2,this.e3),n?this.e2=this.e3:this.e1=this.e3}},{\"../../util/util\":424,\"../bucket\":311,\"../load_geometry\":319}],315:[function(t,e,r){\"use strict\";function n(t){o.apply(this,arguments),this.showCollisionBoxes=t.showCollisionBoxes,this.overscaling=t.overscaling,this.collisionBoxArray=t.collisionBoxArray,this.symbolQuadsArray=t.symbolQuadsArray,this.symbolInstancesArray=t.symbolInstancesArray,this.sdfIcons=t.sdfIcons,this.iconsNeedLinear=t.iconsNeedLinear,this.adjustedTextSize=t.adjustedTextSize,this.adjustedIconSize=t.adjustedIconSize,this.fontstack=t.fontstack}function i(t,e,r,n,i,a,o,s,l,u,c){return t.emplaceBack(e,r,Math.round(64*n),Math.round(64*i),a/4,o/4,10*(u||0),c,10*(s||0),10*Math.min(l||25,25))}var a=t(\"point-geometry\"),o=t(\"../bucket\"),s=t(\"../../symbol/anchor\"),l=t(\"../../symbol/get_anchors\"),u=t(\"../../util/token\"),c=t(\"../../symbol/quads\"),h=t(\"../../symbol/shaping\"),f=t(\"../../symbol/resolve_text\"),d=t(\"../../symbol/mergelines\"),p=t(\"../../symbol/clip_line\"),m=t(\"../../util/util\"),g=t(\"../load_geometry\"),v=t(\"../../symbol/collision_feature\"),y=h.shapeText,b=h.shapeIcon,x=c.getGlyphQuads,_=c.getIconQuads,w=o.EXTENT;e.exports=n,n.MAX_QUADS=65535,n.prototype=m.inherit(o,{}),n.prototype.serialize=function(){var t=o.prototype.serialize.apply(this);return t.sdfIcons=this.sdfIcons,t.iconsNeedLinear=this.iconsNeedLinear,t.adjustedTextSize=this.adjustedTextSize,t.adjustedIconSize=this.adjustedIconSize,t.fontstack=this.fontstack,t};var M=new o.VertexArrayType([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_offset\",components:2,type:\"Int16\"},{name:\"a_texture_pos\",components:2,type:\"Uint16\"},{name:\"a_data\",components:4,type:\"Uint8\"}]),k=new o.ElementArrayType;n.prototype.addCollisionBoxVertex=function(t,e,r,n,i){return t.emplaceBack(e.x,e.y,Math.round(r.x),Math.round(r.y),10*n,10*i)},n.prototype.programInterfaces={glyph:{layoutVertexArrayType:M,elementArrayType:k},icon:{layoutVertexArrayType:M,elementArrayType:k},collisionBox:{layoutVertexArrayType:new o.VertexArrayType([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_extrude\",components:2,type:\"Int16\"},{name:\"a_data\",components:2,type:\"Uint8\"}])}},n.prototype.populateArrays=function(t,e,r){var n={lastIntegerZoom:1/0,lastIntegerZoomTime:0,lastZoom:0};this.adjustedTextMaxSize=this.layer.getLayoutValue(\"text-size\",{zoom:18,zoomHistory:n}),this.adjustedTextSize=this.layer.getLayoutValue(\"text-size\",{zoom:this.zoom+1,zoomHistory:n}),this.adjustedIconMaxSize=this.layer.getLayoutValue(\"icon-size\",{zoom:18,zoomHistory:n}),this.adjustedIconSize=this.layer.getLayoutValue(\"icon-size\",{zoom:this.zoom+1,zoomHistory:n});var i=512*this.overscaling;this.tilePixelRatio=w/i,this.compareText={},this.iconsNeedLinear=!1,this.symbolInstancesStartIndex=this.symbolInstancesArray.length;var a=this.layer.layout,o=this.features,s=this.textFeatures,l=.5,c=.5;switch(a[\"text-anchor\"]){case\"right\":case\"top-right\":case\"bottom-right\":l=1;break;case\"left\":case\"top-left\":case\"bottom-left\":l=0}switch(a[\"text-anchor\"]){case\"bottom\":case\"bottom-right\":case\"bottom-left\":c=1;break;case\"top\":case\"top-right\":case\"top-left\":c=0}for(var h=\"right\"===a[\"text-justify\"]?1:\"left\"===a[\"text-justify\"]?0:.5,f=24*a[\"text-line-height\"],p=\"line\"!==a[\"symbol-placement\"]?24*a[\"text-max-width\"]:0,v=24*a[\"text-letter-spacing\"],x=[24*a[\"text-offset\"][0],24*a[\"text-offset\"][1]],_=this.fontstack=a[\"text-font\"].join(\",\"),M=[],k=0;k<o.length;k++)M.push(g(o[k]));if(\"line\"===a[\"symbol-placement\"]){var A=d(o,s,M);M=A.geometries,o=A.features,s=A.textFeatures}for(var T,S,E=0;E<o.length;E++)if(M[E]){if(T=s[E]?y(s[E],e[_],p,f,l,c,h,v,x):null,a[\"icon-image\"]){var L=u(o[E].properties,a[\"icon-image\"]),C=r[L];S=b(C,a),C&&(void 0===this.sdfIcons?this.sdfIcons=C.sdf:this.sdfIcons!==C.sdf&&m.warnOnce(\"Style sheet warning: Cannot mix SDF and non-SDF icons in one buffer\"),1!==C.pixelRatio?this.iconsNeedLinear=!0:0===a[\"icon-rotate\"]&&this.layer.isLayoutValueFeatureConstant(\"icon-rotate\")||(this.iconsNeedLinear=!0))}else S=null;(T||S)&&this.addFeature(M[E],T,S,o[E])}this.symbolInstancesEndIndex=this.symbolInstancesArray.length,this.placeFeatures(t,this.showCollisionBoxes),this.trimArrays()},n.prototype.addFeature=function(t,e,r,n){\n",
       "var i=this.layer.layout,a=this.adjustedTextSize/24,o=void 0!==this.adjustedTextMaxSize?this.adjustedTextMaxSize:this.adjustedTextSize,u=this.tilePixelRatio*a,c=this.tilePixelRatio*o/24,h=this.tilePixelRatio*this.adjustedIconSize,f=this.tilePixelRatio*i[\"symbol-spacing\"],d=i[\"symbol-avoid-edges\"],m=i[\"text-padding\"]*this.tilePixelRatio,g=i[\"icon-padding\"]*this.tilePixelRatio,v=i[\"text-max-angle\"]/180*Math.PI,y=\"map\"===i[\"text-rotation-alignment\"]&&\"line\"===i[\"symbol-placement\"],b=\"map\"===i[\"icon-rotation-alignment\"]&&\"line\"===i[\"symbol-placement\"],x=i[\"text-allow-overlap\"]||i[\"icon-allow-overlap\"]||i[\"text-ignore-placement\"]||i[\"icon-ignore-placement\"],_=\"line\"===i[\"symbol-placement\"],M=f/2;_&&(t=p(t,0,0,w,w));for(var k=0;k<t.length;k++){var A,T=t[k];A=_?l(T,f,v,e,r,24,c,this.overscaling,w):[new s(T[0].x,T[0].y,0)];for(var S=0,E=A.length;S<E;S++){var L=A[S];if(!(e&&_&&this.anchorIsTooClose(e.text,M,L))){var C=!(L.x<0||L.x>w||L.y<0||L.y>w);if(!d||C){var z=C||x;this.addSymbolInstance(L,T,e,r,this.layer,z,this.symbolInstancesArray.length,this.collisionBoxArray,n.index,this.sourceLayerIndex,this.index,u,m,y,h,g,b,{zoom:this.zoom},n.properties)}}}}},n.prototype.anchorIsTooClose=function(t,e,r){var n=this.compareText;if(t in n){for(var i=n[t],a=i.length-1;a>=0;a--)if(r.dist(i[a])<e)return!0}else n[t]=[];return n[t].push(r),!1},n.prototype.placeFeatures=function(t,e){this.recalculateStyleLayers(),this.createArrays();var r=this.layer.layout,n=t.maxScale,i=\"map\"===r[\"text-rotation-alignment\"]&&\"line\"===r[\"symbol-placement\"],a=\"map\"===r[\"icon-rotation-alignment\"]&&\"line\"===r[\"symbol-placement\"];if(r[\"text-allow-overlap\"]||r[\"icon-allow-overlap\"]||r[\"text-ignore-placement\"]||r[\"icon-ignore-placement\"]){var o=this.symbolInstancesArray.toArray(this.symbolInstancesStartIndex,this.symbolInstancesEndIndex),s=t.angle,l=Math.sin(s),u=Math.cos(s);this.sortedSymbolInstances=o.sort(function(t,e){return(l*t.anchorPointX+u*t.anchorPointY|0)-(l*e.anchorPointX+u*e.anchorPointY|0)||e.index-t.index})}for(var c=this.symbolInstancesStartIndex;c<this.symbolInstancesEndIndex;c++){var h=this.sortedSymbolInstances?this.sortedSymbolInstances[c-this.symbolInstancesStartIndex]:this.symbolInstancesArray.get(c),f={boxStartIndex:h.textBoxStartIndex,boxEndIndex:h.textBoxEndIndex},d={boxStartIndex:h.iconBoxStartIndex,boxEndIndex:h.iconBoxEndIndex},p=!(h.textBoxStartIndex===h.textBoxEndIndex),m=!(h.iconBoxStartIndex===h.iconBoxEndIndex),g=r[\"text-optional\"]||!p,v=r[\"icon-optional\"]||!m,y=p?t.placeCollisionFeature(f,r[\"text-allow-overlap\"],r[\"symbol-avoid-edges\"]):t.minScale,b=m?t.placeCollisionFeature(d,r[\"icon-allow-overlap\"],r[\"symbol-avoid-edges\"]):t.minScale;g||v?!v&&y?y=Math.max(b,y):!g&&b&&(b=Math.max(b,y)):b=y=Math.max(b,y),p&&(t.insertCollisionFeature(f,y,r[\"text-ignore-placement\"]),y<=n&&this.addSymbols(\"glyph\",h.glyphQuadStartIndex,h.glyphQuadEndIndex,y,r[\"text-keep-upright\"],i,t.angle)),m&&(t.insertCollisionFeature(d,b,r[\"icon-ignore-placement\"]),b<=n&&this.addSymbols(\"icon\",h.iconQuadStartIndex,h.iconQuadEndIndex,b,r[\"icon-keep-upright\"],a,t.angle))}e&&this.addToDebugBuffers(t)},n.prototype.addSymbols=function(t,e,r,n,a,o,s){for(var l=this.prepareArrayGroup(t,4*(r-e)),u=l.elementArray,c=l.layoutVertexArray,h=this.zoom,f=Math.max(Math.log(n)/Math.LN2+h,0),d=e;d<r;d++){var p=this.symbolQuadsArray.get(d).SymbolQuad,m=(p.anchorAngle+s+Math.PI)%(2*Math.PI);if(!(a&&o&&(m<=Math.PI/2||m>3*Math.PI/2))){var g=p.tl,v=p.tr,y=p.bl,b=p.br,x=p.tex,_=p.anchorPoint,w=Math.max(h+Math.log(p.minScale)/Math.LN2,f),M=Math.min(h+Math.log(p.maxScale)/Math.LN2,25);if(!(M<=w)){w===f&&(w=0);var k=Math.round(p.glyphAngle/(2*Math.PI)*256),A=i(c,_.x,_.y,g.x,g.y,x.x,x.y,w,M,f,k);i(c,_.x,_.y,v.x,v.y,x.x+x.w,x.y,w,M,f,k),i(c,_.x,_.y,y.x,y.y,x.x,x.y+x.h,w,M,f,k),i(c,_.x,_.y,b.x,b.y,x.x+x.w,x.y+x.h,w,M,f,k),u.emplaceBack(A,A+1,A+2),u.emplaceBack(A+1,A+2,A+3)}}}},n.prototype.updateIcons=function(t){this.recalculateStyleLayers();var e=this.layer.layout[\"icon-image\"];if(e)for(var r=0;r<this.features.length;r++){var n=u(this.features[r].properties,e);n&&(t[n]=!0)}},n.prototype.updateFont=function(t){this.recalculateStyleLayers();var e=this.layer.layout[\"text-font\"],r=t[e]=t[e]||{};this.textFeatures=f(this.features,this.layer.layout,r)},n.prototype.addToDebugBuffers=function(t){for(var e=this.prepareArrayGroup(\"collisionBox\",0),r=e.layoutVertexArray,n=-t.angle,i=t.yStretch,o=this.symbolInstancesStartIndex;o<this.symbolInstancesEndIndex;o++){var s=this.symbolInstancesArray.get(o);s.textCollisionFeature={boxStartIndex:s.textBoxStartIndex,boxEndIndex:s.textBoxEndIndex},s.iconCollisionFeature={boxStartIndex:s.iconBoxStartIndex,boxEndIndex:s.iconBoxEndIndex};for(var l=0;l<2;l++){var u=s[0===l?\"textCollisionFeature\":\"iconCollisionFeature\"];if(u)for(var c=u.boxStartIndex;c<u.boxEndIndex;c++){var h=this.collisionBoxArray.get(c),f=h.anchorPoint,d=new a(h.x1,h.y1*i)._rotate(n),p=new a(h.x2,h.y1*i)._rotate(n),m=new a(h.x1,h.y2*i)._rotate(n),g=new a(h.x2,h.y2*i)._rotate(n),v=Math.max(0,Math.min(25,this.zoom+Math.log(h.maxScale)/Math.LN2)),y=Math.max(0,Math.min(25,this.zoom+Math.log(h.placementScale)/Math.LN2));this.addCollisionBoxVertex(r,f,d,v,y),this.addCollisionBoxVertex(r,f,p,v,y),this.addCollisionBoxVertex(r,f,p,v,y),this.addCollisionBoxVertex(r,f,g,v,y),this.addCollisionBoxVertex(r,f,g,v,y),this.addCollisionBoxVertex(r,f,m,v,y),this.addCollisionBoxVertex(r,f,m,v,y),this.addCollisionBoxVertex(r,f,d,v,y)}}}},n.prototype.addSymbolInstance=function(t,e,r,i,a,o,s,l,u,c,h,f,d,p,g,y,b,w,M){var k,A,T,S,E,L,C,z;if(r&&(C=o?x(t,r,f,e,a,p):[],E=new v(l,e,t,u,c,h,r,f,d,p,!1)),k=this.symbolQuadsArray.length,C&&C.length)for(var D=0;D<C.length;D++)this.addSymbolQuad(C[D]);A=this.symbolQuadsArray.length;var I=E?E.boxStartIndex:this.collisionBoxArray.length,P=E?E.boxEndIndex:this.collisionBoxArray.length;i&&(z=o?_(t,i,g,e,a,b,r,w,M):[],L=new v(l,e,t,u,c,h,i,g,y,b,!0)),T=this.symbolQuadsArray.length,z&&1===z.length&&this.addSymbolQuad(z[0]),S=this.symbolQuadsArray.length;var O=L?L.boxStartIndex:this.collisionBoxArray.length,j=L?L.boxEndIndex:this.collisionBoxArray.length;return S>n.MAX_QUADS&&m.warnOnce(\"Too many symbols being rendered in a tile. See https://github.com/mapbox/mapbox-gl-js/issues/2907\"),A>n.MAX_QUADS&&m.warnOnce(\"Too many glyphs being rendered in a tile. See https://github.com/mapbox/mapbox-gl-js/issues/2907\"),this.symbolInstancesArray.emplaceBack(I,P,O,j,k,A,T,S,t.x,t.y,s)},n.prototype.addSymbolQuad=function(t){return this.symbolQuadsArray.emplaceBack(t.anchorPoint.x,t.anchorPoint.y,t.tl.x,t.tl.y,t.tr.x,t.tr.y,t.bl.x,t.bl.y,t.br.x,t.br.y,t.tex.h,t.tex.w,t.tex.x,t.tex.y,t.anchorAngle,t.glyphAngle,t.maxScale,t.minScale)}},{\"../../symbol/anchor\":373,\"../../symbol/clip_line\":375,\"../../symbol/collision_feature\":377,\"../../symbol/get_anchors\":379,\"../../symbol/mergelines\":382,\"../../symbol/quads\":383,\"../../symbol/resolve_text\":384,\"../../symbol/shaping\":385,\"../../util/token\":423,\"../../util/util\":424,\"../bucket\":311,\"../load_geometry\":319,\"point-geometry\":465}],316:[function(t,e,r){\"use strict\";function n(t,e,r){this.arrayBuffer=t.arrayBuffer,this.length=t.length,this.attributes=e.members,this.itemSize=e.bytesPerElement,this.type=r,this.arrayType=e}e.exports=n,n.prototype.bind=function(t){var e=t[this.type];this.buffer?t.bindBuffer(e,this.buffer):(this.buffer=t.createBuffer(),t.bindBuffer(e,this.buffer),t.bufferData(e,this.arrayBuffer,t.STATIC_DRAW),this.arrayBuffer=null)};var i={Int8:\"BYTE\",Uint8:\"UNSIGNED_BYTE\",Int16:\"SHORT\",Uint16:\"UNSIGNED_SHORT\"};n.prototype.setVertexAttribPointers=function(t,e){for(var r=0;r<this.attributes.length;r++){var n=this.attributes[r],a=e[n.name];void 0!==a&&t.vertexAttribPointer(a,n.components,t[i[n.type]],!1,this.arrayType.bytesPerElement,n.offset)}},n.prototype.destroy=function(t){this.buffer&&t.deleteBuffer(this.buffer)},n.BufferType={VERTEX:\"ARRAY_BUFFER\",ELEMENT:\"ELEMENT_ARRAY_BUFFER\"}},{}],317:[function(t,e,r){\"use strict\";function n(t,e){this.layoutVertexBuffer=new a(t.layoutVertexArray,e.layoutVertexArrayType,a.BufferType.VERTEX),t.elementArray&&(this.elementBuffer=new a(t.elementArray,e.elementArrayType,a.BufferType.ELEMENT));var r,n=this.vaos={};t.elementArray2&&(this.elementBuffer2=new a(t.elementArray2,e.elementArrayType2,a.BufferType.ELEMENT),r=this.secondVaos={}),this.paintVertexBuffers=i.mapObject(t.paintVertexArrays,function(i,s){return n[s]=new o,t.elementArray2&&(r[s]=new o),new a(i,e.paintVertexArrayTypes[s],a.BufferType.VERTEX)})}var i=t(\"../util/util\"),a=t(\"./buffer\"),o=t(\"../render/vertex_array_object\");e.exports=n,n.prototype.destroy=function(t){this.layoutVertexBuffer.destroy(t),this.elementBuffer&&this.elementBuffer.destroy(t),this.elementBuffer2&&this.elementBuffer2.destroy(t);for(var e in this.paintVertexBuffers)this.paintVertexBuffers[e].destroy(t);for(var r in this.vaos)this.vaos[r].destroy(t);for(var n in this.secondVaos)this.secondVaos[n].destroy(t)}},{\"../render/vertex_array_object\":339,\"../util/util\":424,\"./buffer\":316}],318:[function(t,e,r){\"use strict\";function n(t,e,r){if(t.grid){var n=t,i=e;t=n.coord,e=n.overscaling,this.grid=new p(n.grid),this.featureIndexArray=new k(n.featureIndexArray),this.rawTileData=i,this.bucketLayerIDs=n.bucketLayerIDs}else this.grid=new p(h,16,0),this.featureIndexArray=new k;this.coord=t,this.overscaling=e,this.x=t.x,this.y=t.y,this.z=t.z-Math.log(e)/Math.LN2,this.setCollisionTile(r)}function i(t){return Math.sqrt(t[0]*t[0]+t[1]*t[1])}function a(t,e){return e-t}function o(t){return t[\"line-gap-width\"]>0?t[\"line-gap-width\"]+2*t[\"line-width\"]:t[\"line-width\"]}function s(t,e,r,n,i){if(!e[0]&&!e[1])return t;e=u.convert(e),\"viewport\"===r&&e._rotate(-n);for(var a=[],o=0;o<t.length;o++){for(var s=t[o],l=[],c=0;c<s.length;c++)l.push(s[c].sub(e._mult(i)));a.push(l)}return a}function l(t,e){for(var r=[],n=new u(0,0),i=0;i<t.length;i++){for(var a=t[i],o=[],s=0;s<a.length;s++){var l=a[s-1],c=a[s],h=a[s+1],f=0===s?n:c.sub(l)._unit()._perp(),d=s===a.length-1?n:h.sub(c)._unit()._perp(),p=f._add(d)._unit(),m=p.x*d.x+p.y*d.y;p._mult(1/m),o.push(p._mult(e)._add(c))}r.push(o)}return r}var u=t(\"point-geometry\"),c=t(\"./load_geometry\"),h=t(\"./bucket\").EXTENT,f=t(\"feature-filter\"),d=t(\"../util/struct_array\"),p=t(\"grid-index\"),m=t(\"../util/dictionary_coder\"),g=t(\"vector-tile\"),v=t(\"pbf\"),y=t(\"../util/vectortile_to_geojson\"),b=t(\"../util/util\").arraysIntersect,x=t(\"../util/intersection_tests\"),_=x.multiPolygonIntersectsBufferedMultiPoint,w=x.multiPolygonIntersectsMultiPolygon,M=x.multiPolygonIntersectsBufferedMultiLine,k=new d({members:[{type:\"Uint32\",name:\"featureIndex\"},{type:\"Uint16\",name:\"sourceLayerIndex\"},{type:\"Uint16\",name:\"bucketIndex\"}]});e.exports=n,n.prototype.insert=function(t,e,r,n){var i=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(e,r,n);for(var a=c(t),o=0;o<a.length;o++){for(var s=a[o],l=[1/0,1/0,-1/0,-1/0],u=0;u<s.length;u++){var h=s[u];l[0]=Math.min(l[0],h.x),l[1]=Math.min(l[1],h.y),l[2]=Math.max(l[2],h.x),l[3]=Math.max(l[3],h.y)}this.grid.insert(i,l[0],l[1],l[2],l[3])}},n.prototype.setCollisionTile=function(t){this.collisionTile=t},n.prototype.serialize=function(){var t={coord:this.coord,overscaling:this.overscaling,grid:this.grid.toArrayBuffer(),featureIndexArray:this.featureIndexArray.serialize(),bucketLayerIDs:this.bucketLayerIDs};return{data:t,transferables:[t.grid,t.featureIndexArray.arrayBuffer]}},n.prototype.query=function(t,e){this.vtLayers||(this.vtLayers=new g.VectorTile(new v(new Uint8Array(this.rawTileData))).layers,this.sourceLayerCoder=new m(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"]));var r={},n=t.params||{},s=h/t.tileSize/t.scale,l=f(n.filter),c=0;for(var d in e){var p=e[d],y=p.paint,b=0;\"line\"===p.type?b=o(y)/2+Math.abs(y[\"line-offset\"])+i(y[\"line-translate\"]):\"fill\"===p.type?b=i(y[\"fill-translate\"]):\"circle\"===p.type&&(b=y[\"circle-radius\"]+i(y[\"circle-translate\"])),c=Math.max(c,b*s)}for(var x=t.queryGeometry.map(function(t){return t.map(function(t){return new u(t.x,t.y)})}),_=1/0,w=1/0,M=-1/0,k=-1/0,A=0;A<x.length;A++)for(var T=x[A],S=0;S<T.length;S++){var E=T[S];_=Math.min(_,E.x),w=Math.min(w,E.y),M=Math.max(M,E.x),k=Math.max(k,E.y)}var L=this.grid.query(_-c,w-c,M+c,k+c);L.sort(a),this.filterMatching(r,L,this.featureIndexArray,x,l,n.layers,e,t.bearing,s);var C=this.collisionTile.queryRenderedSymbols(_,w,M,k,t.scale);return C.sort(),this.filterMatching(r,C,this.collisionTile.collisionBoxArray,x,l,n.layers,e,t.bearing,s),r},n.prototype.filterMatching=function(t,e,r,n,i,a,u,h,f){for(var d,p=0;p<e.length;p++){var m=e[p];if(m!==d){d=m;var g=r.get(m),v=this.bucketLayerIDs[g.bucketIndex];if(!a||b(a,v)){var x=this.sourceLayerCoder.decode(g.sourceLayerIndex),k=this.vtLayers[x],A=k.feature(g.featureIndex);if(i(A))for(var T=null,S=0;S<v.length;S++){var E=v[S];if(!(a&&a.indexOf(E)<0)){var L=u[E];if(L){var C;if(\"symbol\"!==L.type){T||(T=c(A));var z=L.paint;if(\"line\"===L.type){C=s(n,z[\"line-translate\"],z[\"line-translate-anchor\"],h,f);var D=o(z)/2*f;if(z[\"line-offset\"]&&(T=l(T,z[\"line-offset\"]*f)),!M(C,T,D))continue}else if(\"fill\"===L.type){if(C=s(n,z[\"fill-translate\"],z[\"fill-translate-anchor\"],h,f),!w(C,T))continue}else if(\"circle\"===L.type){C=s(n,z[\"circle-translate\"],z[\"circle-translate-anchor\"],h,f);var I=z[\"circle-radius\"]*f;if(!_(C,T,I))continue}}var P=new y(A,this.z,this.x,this.y);P.layer=L.serialize({includeRefProperties:!0});var O=t[E];void 0===O&&(O=t[E]=[]),O.push(P)}}}}}}}},{\"../util/dictionary_coder\":414,\"../util/intersection_tests\":419,\"../util/struct_array\":422,\"../util/util\":424,\"../util/vectortile_to_geojson\":425,\"./bucket\":311,\"./load_geometry\":319,\"feature-filter\":117,\"grid-index\":271,pbf:459,\"point-geometry\":465,\"vector-tile\":530}],319:[function(t,e,r){\"use strict\";function n(t){return{min:-1*Math.pow(2,t-1),max:Math.pow(2,t-1)-1}}var i=t(\"../util/util\"),a=t(\"./bucket\").EXTENT,o=t(\"assert\"),s={15:n(15),16:n(16)};e.exports=function(t,e){var r=s[e||16];o(r);for(var n=a/t.extent,l=t.loadGeometry(),u=0;u<l.length;u++)for(var c=l[u],h=0;h<c.length;h++){var f=c[h];f.x=Math.round(f.x*n),f.y=Math.round(f.y*n),(f.x<r.min||f.x>r.max||f.y<r.min||f.y>r.max)&&i.warnOnce(\"Geometry exceeds allowed extent, reduce your vector tile buffer size\")}return l}},{\"../util/util\":424,\"./bucket\":311,assert:40}],320:[function(t,e,r){\"use strict\";function n(t,e,r){this.column=t,this.row=e,this.zoom=r}e.exports=n,n.prototype={clone:function(){return new n(this.column,this.row,this.zoom)},zoomTo:function(t){return this.clone()._zoomTo(t)},sub:function(t){return this.clone()._sub(t)},_zoomTo:function(t){var e=Math.pow(2,t-this.zoom);return this.column*=e,this.row*=e,this.zoom=t,this},_sub:function(t){return t=t.zoomTo(this.zoom),this.column-=t.column,this.row-=t.row,this}}},{}],321:[function(t,e,r){\"use strict\";function n(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")}e.exports=n;var i=t(\"../util/util\").wrap;n.prototype.wrap=function(){return new n(i(this.lng,-180,180),this.lat)},n.prototype.toArray=function(){return[this.lng,this.lat]},n.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},n.convert=function(t){return t instanceof n?t:Array.isArray(t)?new n(t[0],t[1]):t}},{\"../util/util\":424}],322:[function(t,e,r){\"use strict\";function n(t,e){t&&(e?this.extend(t).extend(e):4===t.length?this.extend([t[0],t[1]]).extend([t[2],t[3]]):this.extend(t[0]).extend(t[1]))}e.exports=n;var i=t(\"./lng_lat\");n.prototype={extend:function(t){var e,r,a=this._sw,o=this._ne;if(t instanceof i)e=t,r=t;else{if(!(t instanceof n))return t?this.extend(i.convert(t)||n.convert(t)):this;if(e=t._sw,r=t._ne,!e||!r)return this}return a||o?(a.lng=Math.min(e.lng,a.lng),a.lat=Math.min(e.lat,a.lat),o.lng=Math.max(r.lng,o.lng),o.lat=Math.max(r.lat,o.lat)):(this._sw=new i(e.lng,e.lat),this._ne=new i(r.lng,r.lat)),this},getCenter:function(){return new i((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},getSouthWest:function(){return this._sw},getNorthEast:function(){return this._ne},getNorthWest:function(){return new i(this.getWest(),this.getNorth())},getSouthEast:function(){return new i(this.getEast(),this.getSouth())},getWest:function(){return this._sw.lng},getSouth:function(){return this._sw.lat},getEast:function(){return this._ne.lng},getNorth:function(){return this._ne.lat},toArray:function(){return[this._sw.toArray(),this._ne.toArray()]},toString:function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"}},n.convert=function(t){return!t||t instanceof n?t:new n(t)}},{\"./lng_lat\":321}],323:[function(t,e,r){\"use strict\";function n(t,e){this.tileSize=512,this._minZoom=t||0,this._maxZoom=e||22,this.latRange=[-85.05113,85.05113],this.width=0,this.height=0,this._center=new i(0,0),this.zoom=0,this.angle=0,this._altitude=1.5,this._pitch=0,this._unmodified=!0}var i=t(\"./lng_lat\"),a=t(\"point-geometry\"),o=t(\"./coordinate\"),s=t(\"../util/util\").wrap,l=t(\"../util/interpolate\"),u=t(\"../source/tile_coord\"),c=t(\"../data/bucket\").EXTENT,h=t(\"gl-matrix\"),f=h.vec4,d=h.mat4,p=h.mat2;e.exports=n,n.prototype={get minZoom(){return this._minZoom},set minZoom(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},get maxZoom(){return this._maxZoom},set maxZoom(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},get worldSize(){return this.tileSize*this.scale},get centerPoint(){return this.size._div(2)},get size(){return new a(this.width,this.height)},get bearing(){return-this.angle/Math.PI*180},set bearing(t){var e=-s(t,-180,180)*Math.PI/180;this.angle!==e&&(this._unmodified=!1,this.angle=e,this._calcMatrices(),this.rotationMatrix=p.create(),p.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},get pitch(){return this._pitch/Math.PI*180},set pitch(t){var e=Math.min(60,t)/180*Math.PI;this._pitch!==e&&(this._unmodified=!1,this._pitch=e,this._calcMatrices())},get altitude(){return this._altitude},set altitude(t){var e=Math.max(.75,t);this._altitude!==e&&(this._unmodified=!1,this._altitude=e,this._calcMatrices())},get zoom(){return this._zoom},set zoom(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._calcMatrices(),this._constrain())},get center(){return this._center},set center(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._calcMatrices(),this._constrain())},coveringZoomLevel:function(t){return(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize))},coveringTiles:function(t){var e=this.coveringZoomLevel(t),r=e;if(e<t.minzoom)return[];e>t.maxzoom&&(e=t.maxzoom);var n=this,i=n.locationCoordinate(n.center)._zoomTo(e),o=new a(i.column-.5,i.row-.5);return u.cover(e,[n.pointCoordinate(new a(0,0))._zoomTo(e),n.pointCoordinate(new a(n.width,0))._zoomTo(e),n.pointCoordinate(new a(n.width,n.height))._zoomTo(e),n.pointCoordinate(new a(0,n.height))._zoomTo(e)],t.reparseOverscaled?r:e).sort(function(t,e){return o.dist(t)-o.dist(e)})},resize:function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._calcMatrices(),this._constrain()},get unmodified(){return this._unmodified},zoomScale:function(t){return Math.pow(2,t)},scaleZoom:function(t){return Math.log(t)/Math.LN2},project:function(t,e){return new a(this.lngX(t.lng,e),this.latY(t.lat,e))},unproject:function(t,e){return new i(this.xLng(t.x,e),this.yLat(t.y,e))},get x(){return this.lngX(this.center.lng)},get y(){return this.latY(this.center.lat)},get point(){return new a(this.x,this.y)},lngX:function(t,e){return(180+t)*(e||this.worldSize)/360},latY:function(t,e){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))*(e||this.worldSize)/360},xLng:function(t,e){return 360*t/(e||this.worldSize)-180},yLat:function(t,e){var r=180-360*t/(e||this.worldSize);return 360/Math.PI*Math.atan(Math.exp(r*Math.PI/180))-90},panBy:function(t){var e=this.centerPoint._add(t);this.center=this.pointLocation(e)},setLocationAtPoint:function(t,e){var r=this.locationCoordinate(t),n=this.pointCoordinate(e),i=this.pointCoordinate(this.centerPoint),a=n._sub(r);this._unmodified=!1,this.center=this.coordinateLocation(i._sub(a))},locationPoint:function(t){return this.coordinatePoint(this.locationCoordinate(t))},pointLocation:function(t){return this.coordinateLocation(this.pointCoordinate(t))},locationCoordinate:function(t){var e=this.zoomScale(this.tileZoom)/this.worldSize,r=i.convert(t);return new o(this.lngX(r.lng)*e,this.latY(r.lat)*e,this.tileZoom)},coordinateLocation:function(t){var e=this.zoomScale(t.zoom);return new i(this.xLng(t.column,e),this.yLat(t.row,e))},pointCoordinate:function(t){var e=[t.x,t.y,0,1],r=[t.x,t.y,1,1];f.transformMat4(e,e,this.pixelMatrixInverse),f.transformMat4(r,r,this.pixelMatrixInverse);var n=e[3],i=r[3],a=e[0]/n,s=r[0]/i,u=e[1]/n,c=r[1]/i,h=e[2]/n,d=r[2]/i,p=h===d?0:(0-h)/(d-h),m=this.worldSize/this.zoomScale(this.tileZoom);return new o(l(a,s,p)/m,l(u,c,p)/m,this.tileZoom)},coordinatePoint:function(t){var e=this.worldSize/this.zoomScale(t.zoom),r=[t.column*e,t.row*e,0,1];return f.transformMat4(r,r,this.pixelMatrix),new a(r[0]/r[3],r[1]/r[3])},calculatePosMatrix:function(t,e){void 0===e&&(e=1/0),t instanceof u&&(t=t.toCoordinate(e));var r=Math.min(t.zoom,e),n=this.worldSize/Math.pow(2,r),i=new Float64Array(16);return d.identity(i),d.translate(i,i,[t.column*n,t.row*n,0]),d.scale(i,i,[n/c,n/c,1]),d.multiply(i,this.projMatrix,i),new Float32Array(i)},_constrain:function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var t,e,r,n,i,o,s,l,u=this.size,c=this._unmodified;this.latRange&&(t=this.latY(this.latRange[1]),e=this.latY(this.latRange[0]),i=e-t<u.y?u.y/(e-t):0),this.lngRange&&(r=this.lngX(this.lngRange[0]),n=this.lngX(this.lngRange[1]),o=n-r<u.x?u.x/(n-r):0);var h=Math.max(o||0,i||0);if(h)return this.center=this.unproject(new a(o?(n+r)/2:this.x,i?(e+t)/2:this.y)),this.zoom+=this.scaleZoom(h),this._unmodified=c,void(this._constraining=!1);if(this.latRange){var f=this.y,d=u.y/2;f-d<t&&(l=t+d),f+d>e&&(l=e-d)}if(this.lngRange){var p=this.x,m=u.x/2;p-m<r&&(s=r+m),p+m>n&&(s=n-m)}void 0===s&&void 0===l||(this.center=this.unproject(new a(void 0!==s?s:this.x,void 0!==l?l:this.y))),this._unmodified=c,this._constraining=!1}},_calcMatrices:function(){if(this.height){var t=Math.atan(.5/this.altitude),e=Math.sin(t)*this.altitude/Math.sin(Math.PI/2-this._pitch-t),r=Math.cos(Math.PI/2-this._pitch)*e+this.altitude,n=new Float64Array(16);if(d.perspective(n,2*Math.atan(this.height/2/this.altitude),this.width/this.height,.1,r),d.translate(n,n,[0,0,-this.altitude]),d.scale(n,n,[1,-1,1/this.height]),d.rotateX(n,n,this._pitch),d.rotateZ(n,n,this.angle),d.translate(n,n,[-this.x,-this.y,0]),this.projMatrix=n,n=d.create(),d.scale(n,n,[this.width/2,-this.height/2,1]),d.translate(n,n,[1,-1,0]),this.pixelMatrix=d.multiply(new Float64Array(16),n,this.projMatrix),!(n=d.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=n}}}},{\"../data/bucket\":311,\"../source/tile_coord\":351,\"../util/interpolate\":418,\"../util/util\":424,\"./coordinate\":320,\"./lng_lat\":321,\"gl-matrix\":177,\"point-geometry\":465}],324:[function(t,e,r){\"use strict\";var n={\" 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a,o,s,l,u,c,h,f,d=[];for(a=0,o=t.length;a<o;a++)if(u=n[t[a]]){for(f=null,s=0,l=u[1].length;s<l;s+=2)u[1][s]===-1&&u[1][s+1]===-1?f=null:(c=e+u[1][s]*i,h=r-u[1][s+1]*i,f&&d.push(f.x,f.y,c,h),f={x:c,y:h});e+=u[0]*i}return d}},{}],325:[function(t,e,r){\"use strict\";var n=e.exports={};n.version=t(\"../package.json\").version,n.Map=t(\"./ui/map\"),n.Control=t(\"./ui/control/control\"),n.Navigation=t(\"./ui/control/navigation\"),n.Geolocate=t(\"./ui/control/geolocate\"),n.Attribution=t(\"./ui/control/attribution\"),n.Popup=t(\"./ui/popup\"),n.Marker=t(\"./ui/marker\"),n.Style=t(\"./style/style\"),n.LngLat=t(\"./geo/lng_lat\"),n.LngLatBounds=t(\"./geo/lng_lat_bounds\"),n.Point=t(\"point-geometry\"),n.Evented=t(\"./util/evented\"),n.util=t(\"./util/util\"),n.supported=t(\"./util/browser\").supported;var i=t(\"./util/ajax\");n.util.getJSON=i.getJSON,n.util.getArrayBuffer=i.getArrayBuffer;var a=t(\"./util/config\");n.config=a,Object.defineProperty(n,\"accessToken\",{get:function(){return a.ACCESS_TOKEN},set:function(t){a.ACCESS_TOKEN=t}})},{\"../package.json\":426,\"./geo/lng_lat\":321,\"./geo/lng_lat_bounds\":322,\"./style/style\":360,\"./ui/control/attribution\":391,\"./ui/control/control\":392,\"./ui/control/geolocate\":393,\"./ui/control/navigation\":394,\"./ui/map\":403,\"./ui/marker\":404,\"./ui/popup\":405,\"./util/ajax\":407,\"./util/browser\":408,\"./util/config\":413,\"./util/evented\":416,\"./util/util\":424,\"point-geometry\":465}],326:[function(t,e,r){\"use strict\";var n=t(\"assert\");e.exports=function(t){for(var e={define:{},initialize:{}},r=0;r<t.length;r++){var i=t[r];n(\"u_\"===i.name.slice(0,2))\n",
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n,s=t.gl,l=t.transform,u=r.paint[\"background-color\"],c=r.paint[\"background-pattern\"],h=r.paint[\"background-opacity\"],f=c?t.spriteAtlas.getPosition(c.from,!0):null,d=c?t.spriteAtlas.getPosition(c.to,!0):null;if(t.setDepthSublayer(0),f&&d){if(t.isOpaquePass)return;n=t.useProgram(\"pattern\"),s.uniform1i(n.u_image,0),s.uniform2fv(n.u_pattern_tl_a,f.tl),s.uniform2fv(n.u_pattern_br_a,f.br),s.uniform2fv(n.u_pattern_tl_b,d.tl),s.uniform2fv(n.u_pattern_br_b,d.br),s.uniform1f(n.u_opacity,h),s.uniform1f(n.u_mix,c.t),s.uniform2fv(n.u_pattern_size_a,f.size),s.uniform2fv(n.u_pattern_size_b,d.size),s.uniform1f(n.u_scale_a,c.fromScale),s.uniform1f(n.u_scale_b,c.toScale),s.activeTexture(s.TEXTURE0),t.spriteAtlas.bind(s,!0),t.tileExtentPatternVAO.bind(s,n,t.tileExtentBuffer)}else{if(t.isOpaquePass!==(1===u[3]))return;var p=a([{name:\"u_color\",components:4},{name:\"u_opacity\",components:1}]);n=t.useProgram(\"fill\",[],p,p),s.uniform4fv(n.u_color,u),s.uniform1f(n.u_opacity,h),t.tileExtentVAO.bind(s,n,t.tileExtentBuffer)}s.disable(s.STENCIL_TEST);for(var m=l.coveringTiles({tileSize:o}),g=0;g<m.length;g++){var v=m[g];if(f&&d){var y={coord:v,tileSize:o};s.uniform1f(n.u_tile_units_to_pixels,1/i(y,1,t.transform.tileZoom));var b=y.tileSize*Math.pow(2,t.transform.tileZoom-y.coord.z),x=b*(y.coord.x+v.w*Math.pow(2,y.coord.z)),_=b*y.coord.y;s.uniform2f(n.u_pixel_coord_upper,x>>16,_>>16),s.uniform2f(n.u_pixel_coord_lower,65535&x,65535&_)}s.uniformMatrix4fv(n.u_matrix,!1,t.transform.calculatePosMatrix(v)),s.drawArrays(s.TRIANGLE_STRIP,0,t.tileExtentBuffer.length)}s.stencilMask(0),s.stencilFunc(s.EQUAL,128,128)}var i=t(\"../source/pixels_to_tile_units\"),a=t(\"./create_uniform_pragmas\"),o=512;e.exports=n},{\"../source/pixels_to_tile_units\":345,\"./create_uniform_pragmas\":326}],328:[function(t,e,r){\"use strict\";function n(t,e,r,n){if(!t.isOpaquePass){var a=t.gl;t.setDepthSublayer(0),t.depthMask(!1),a.disable(a.STENCIL_TEST);for(var o=0;o<n.length;o++){var s=n[o],l=e.getTile(s),u=l.getBucket(r);if(u){var c=u.bufferGroups.circle;if(c){var h=u.paintAttributes.circle[r.id],f=t.useProgram(\"circle\",h.defines,h.vertexPragmas,h.fragmentPragmas);\"map\"===r.paint[\"circle-pitch-scale\"]?(a.uniform1i(f.u_scale_with_map,!0),a.uniform2f(f.u_extrude_scale,t.transform.pixelsToGLUnits[0]*t.transform.altitude,t.transform.pixelsToGLUnits[1]*t.transform.altitude)):(a.uniform1i(f.u_scale_with_map,!1),a.uniform2fv(f.u_extrude_scale,t.transform.pixelsToGLUnits)),a.uniform1f(f.u_devicepixelratio,i.devicePixelRatio),a.uniformMatrix4fv(f.u_matrix,!1,t.translatePosMatrix(s.posMatrix,l,r.paint[\"circle-translate\"],r.paint[\"circle-translate-anchor\"])),u.setUniforms(a,\"circle\",f,r,{zoom:t.transform.zoom});for(var d=0;d<c.length;d++){var p=c[d];p.vaos[r.id].bind(a,f,p.layoutVertexBuffer,p.elementBuffer,p.paintVertexBuffers[r.id]),a.drawElements(a.TRIANGLES,3*p.elementBuffer.length,a.UNSIGNED_SHORT,0)}}}}}}var i=t(\"../util/browser\");e.exports=n},{\"../util/browser\":408}],329:[function(t,e,r){\"use strict\";function n(t,e,r,n){var i=t.gl;i.enable(i.STENCIL_TEST);for(var a=t.useProgram(\"collisionbox\"),o=0;o<n.length;o++){var s=n[o],l=e.getTile(s),u=l.getBucket(r);if(u){var c=u.bufferGroups.collisionBox;if(c&&c.length){var h=c[0];0!==h.layoutVertexBuffer.length&&(i.uniformMatrix4fv(a.u_matrix,!1,s.posMatrix),t.enableTileClippingMask(s),t.lineWidth(1),i.uniform1f(a.u_scale,Math.pow(2,t.transform.zoom-l.coord.z)),i.uniform1f(a.u_zoom,10*t.transform.zoom),i.uniform1f(a.u_maxzoom,10*(l.coord.z+1)),h.vaos[r.id].bind(i,a,h.layoutVertexBuffer),i.drawArrays(i.LINES,0,h.layoutVertexBuffer.length))}}}}e.exports=n},{}],330:[function(t,e,r){\"use strict\";function n(t,e,r){if(!t.isOpaquePass&&t.options.debug)for(var n=0;n<r.length;n++)i(t,e,r[n])}function i(t,e,r){var n=t.gl;n.disable(n.STENCIL_TEST),t.lineWidth(1*o.devicePixelRatio);var i=r.posMatrix,h=t.useProgram(\"debug\");n.uniformMatrix4fv(h.u_matrix,!1,i),n.uniform4f(h.u_color,1,0,0,1),t.debugVAO.bind(n,h,t.debugBuffer),n.drawArrays(n.LINE_STRIP,0,t.debugBuffer.length);for(var f=a(r.toString(),50,200,5),d=new t.PosArray,p=0;p<f.length;p+=2)d.emplaceBack(f[p],f[p+1]);var m=new u(d.serialize(),t.PosArray.serialize(),u.BufferType.VERTEX);(new c).bind(n,h,m),n.uniform4f(h.u_color,1,1,1,1);for(var g=e.getTile(r).tileSize,v=l/(Math.pow(2,t.transform.zoom-r.z)*g),y=[[-1,-1],[-1,1],[1,-1],[1,1]],b=0;b<y.length;b++){var x=y[b];n.uniformMatrix4fv(h.u_matrix,!1,s.translate([],i,[v*x[0],v*x[1],0])),n.drawArrays(n.LINES,0,m.length)}n.uniform4f(h.u_color,0,0,0,1),n.uniformMatrix4fv(h.u_matrix,!1,i),n.drawArrays(n.LINES,0,m.length)}var a=t(\"../lib/debugtext\"),o=t(\"../util/browser\"),s=t(\"gl-matrix\").mat4,l=t(\"../data/bucket\").EXTENT,u=t(\"../data/buffer\"),c=t(\"./vertex_array_object\");e.exports=n},{\"../data/bucket\":311,\"../data/buffer\":316,\"../lib/debugtext\":324,\"../util/browser\":408,\"./vertex_array_object\":339,\"gl-matrix\":177}],331:[function(t,e,r){\"use strict\";function n(t,e,r,n){var o=t.gl;o.enable(o.STENCIL_TEST);var s;if(s=!r.paint[\"fill-pattern\"]&&(r.isPaintValueFeatureConstant(\"fill-color\")&&r.isPaintValueFeatureConstant(\"fill-opacity\")&&1===r.paint[\"fill-color\"][3]&&1===r.paint[\"fill-opacity\"]),t.isOpaquePass===s){t.setDepthSublayer(1);for(var l=0;l<n.length;l++)i(t,e,r,n[l])}if(!t.isOpaquePass&&r.paint[\"fill-antialias\"]){t.lineWidth(2),t.depthMask(!1);var u=r.getPaintProperty(\"fill-outline-color\");(u||!r.paint[\"fill-pattern\"])&&u?t.setDepthSublayer(2):t.setDepthSublayer(0);for(var c=0;c<n.length;c++)a(t,e,r,n[c])}}function i(t,e,r,n){var i=e.getTile(n),a=i.getBucket(r);if(a){var s=a.bufferGroups.fill;if(s){var l,u=t.gl,c=r.paint[\"fill-pattern\"];if(c)l=t.useProgram(\"pattern\"),o(c,r.paint[\"fill-opacity\"],i,n,t,l),u.activeTexture(u.TEXTURE0),t.spriteAtlas.bind(u,!0);else{var h=a.paintAttributes.fill[r.id];l=t.useProgram(\"fill\",h.defines,h.vertexPragmas,h.fragmentPragmas),a.setUniforms(u,\"fill\",l,r,{zoom:t.transform.zoom})}u.uniformMatrix4fv(l.u_matrix,!1,t.translatePosMatrix(n.posMatrix,i,r.paint[\"fill-translate\"],r.paint[\"fill-translate-anchor\"])),t.enableTileClippingMask(n);for(var f=0;f<s.length;f++){var d=s[f];d.vaos[r.id].bind(u,l,d.layoutVertexBuffer,d.elementBuffer,d.paintVertexBuffers[r.id]),u.drawElements(u.TRIANGLES,d.elementBuffer.length,u.UNSIGNED_SHORT,0)}}}}function a(t,e,r,n){var i=e.getTile(n),a=i.getBucket(r);if(a){var s,l=t.gl,u=a.bufferGroups.fill,c=r.paint[\"fill-pattern\"],h=r.paint[\"fill-opacity\"],f=r.getPaintProperty(\"fill-outline-color\");if(c&&!f)s=t.useProgram(\"outlinepattern\"),l.uniform2f(s.u_world,l.drawingBufferWidth,l.drawingBufferHeight);else{var d=a.paintAttributes.fill[r.id];s=t.useProgram(\"outline\",d.defines,d.vertexPragmas,d.fragmentPragmas),l.uniform2f(s.u_world,l.drawingBufferWidth,l.drawingBufferHeight),l.uniform1f(s.u_opacity,h),a.setUniforms(l,\"fill\",s,r,{zoom:t.transform.zoom})}l.uniformMatrix4fv(s.u_matrix,!1,t.translatePosMatrix(n.posMatrix,i,r.paint[\"fill-translate\"],r.paint[\"fill-translate-anchor\"])),c&&o(c,h,i,n,t,s),t.enableTileClippingMask(n);for(var p=0;p<u.length;p++){var m=u[p];m.secondVaos[r.id].bind(l,s,m.layoutVertexBuffer,m.elementBuffer2,m.paintVertexBuffers[r.id]),l.drawElements(l.LINES,2*m.elementBuffer2.length,l.UNSIGNED_SHORT,0)}}}function o(t,e,r,n,i,a){var o=i.gl,l=i.spriteAtlas.getPosition(t.from,!0),u=i.spriteAtlas.getPosition(t.to,!0);if(l&&u){o.uniform1i(a.u_image,0),o.uniform2fv(a.u_pattern_tl_a,l.tl),o.uniform2fv(a.u_pattern_br_a,l.br),o.uniform2fv(a.u_pattern_tl_b,u.tl),o.uniform2fv(a.u_pattern_br_b,u.br),o.uniform1f(a.u_opacity,e),o.uniform1f(a.u_mix,t.t),o.uniform1f(a.u_tile_units_to_pixels,1/s(r,1,i.transform.tileZoom)),o.uniform2fv(a.u_pattern_size_a,l.size),o.uniform2fv(a.u_pattern_size_b,u.size),o.uniform1f(a.u_scale_a,t.fromScale),o.uniform1f(a.u_scale_b,t.toScale);var c=r.tileSize*Math.pow(2,i.transform.tileZoom-r.coord.z),h=c*(r.coord.x+n.w*Math.pow(2,r.coord.z)),f=c*r.coord.y;o.uniform2f(a.u_pixel_coord_upper,h>>16,f>>16),o.uniform2f(a.u_pixel_coord_lower,65535&h,65535&f),o.activeTexture(o.TEXTURE0),i.spriteAtlas.bind(o,!0)}}var s=t(\"../source/pixels_to_tile_units\");e.exports=n},{\"../source/pixels_to_tile_units\":345}],332:[function(t,e,r){\"use strict\";var n=t(\"../util/browser\"),i=t(\"gl-matrix\").mat2,a=t(\"../source/pixels_to_tile_units\");e.exports=function(t,e,r,o){if(!t.isOpaquePass){t.setDepthSublayer(0),t.depthMask(!1);var s=t.gl;if(s.enable(s.STENCIL_TEST),!(r.paint[\"line-width\"]<=0)){var l=1/n.devicePixelRatio,u=r.paint[\"line-blur\"]+l,c=r.paint[\"line-color\"],h=t.transform,f=i.create();i.scale(f,f,[1,Math.cos(h._pitch)]),i.rotate(f,f,t.transform.angle);var d,p,m,g,v,y=Math.sqrt(h.height*h.height/4*(1+h.altitude*h.altitude)),b=h.height/2*Math.tan(h._pitch),x=(y+b)/y-1,_=r.paint[\"line-dasharray\"],w=r.paint[\"line-pattern\"];if(_)d=t.useProgram(\"linesdfpattern\"),s.uniform1f(d.u_linewidth,r.paint[\"line-width\"]/2),s.uniform1f(d.u_gapwidth,r.paint[\"line-gap-width\"]/2),s.uniform1f(d.u_antialiasing,l/2),s.uniform1f(d.u_blur,u),s.uniform4fv(d.u_color,c),s.uniform1f(d.u_opacity,r.paint[\"line-opacity\"]),p=t.lineAtlas.getDash(_.from,\"round\"===r.layout[\"line-cap\"]),m=t.lineAtlas.getDash(_.to,\"round\"===r.layout[\"line-cap\"]),s.uniform1i(d.u_image,0),s.activeTexture(s.TEXTURE0),t.lineAtlas.bind(s),s.uniform1f(d.u_tex_y_a,p.y),s.uniform1f(d.u_tex_y_b,m.y),s.uniform1f(d.u_mix,_.t),s.uniform1f(d.u_extra,x),s.uniform1f(d.u_offset,-r.paint[\"line-offset\"]),s.uniformMatrix2fv(d.u_antialiasingmatrix,!1,f);else if(w){if(g=t.spriteAtlas.getPosition(w.from,!0),v=t.spriteAtlas.getPosition(w.to,!0),!g||!v)return;d=t.useProgram(\"linepattern\"),s.uniform1i(d.u_image,0),s.activeTexture(s.TEXTURE0),t.spriteAtlas.bind(s,!0),s.uniform1f(d.u_linewidth,r.paint[\"line-width\"]/2),s.uniform1f(d.u_gapwidth,r.paint[\"line-gap-width\"]/2),s.uniform1f(d.u_antialiasing,l/2),s.uniform1f(d.u_blur,u),s.uniform2fv(d.u_pattern_tl_a,g.tl),s.uniform2fv(d.u_pattern_br_a,g.br),s.uniform2fv(d.u_pattern_tl_b,v.tl),s.uniform2fv(d.u_pattern_br_b,v.br),s.uniform1f(d.u_fade,w.t),s.uniform1f(d.u_opacity,r.paint[\"line-opacity\"]),s.uniform1f(d.u_extra,x),s.uniform1f(d.u_offset,-r.paint[\"line-offset\"]),s.uniformMatrix2fv(d.u_antialiasingmatrix,!1,f)}else d=t.useProgram(\"line\"),s.uniform1f(d.u_linewidth,r.paint[\"line-width\"]/2),s.uniform1f(d.u_gapwidth,r.paint[\"line-gap-width\"]/2),s.uniform1f(d.u_antialiasing,l/2),s.uniform1f(d.u_blur,u),s.uniform1f(d.u_extra,x),s.uniform1f(d.u_offset,-r.paint[\"line-offset\"]),s.uniformMatrix2fv(d.u_antialiasingmatrix,!1,f),s.uniform4fv(d.u_color,c),s.uniform1f(d.u_opacity,r.paint[\"line-opacity\"]);for(var M=0;M<o.length;M++){var k=o[M],A=e.getTile(k),T=A.getBucket(r);if(T){var S=T.bufferGroups.line;if(S){t.enableTileClippingMask(k);var E=t.translatePosMatrix(k.posMatrix,A,r.paint[\"line-translate\"],r.paint[\"line-translate-anchor\"]);s.uniformMatrix4fv(d.u_matrix,!1,E);var L=1/a(A,1,t.transform.zoom);if(_){var C=p.width*_.fromScale,z=m.width*_.toScale,D=[1/a(A,C,t.transform.tileZoom),-p.height/2],I=[1/a(A,z,t.transform.tileZoom),-m.height/2],P=t.lineAtlas.width/(256*Math.min(C,z)*n.devicePixelRatio)/2;s.uniform1f(d.u_ratio,L),s.uniform2fv(d.u_patternscale_a,D),s.uniform2fv(d.u_patternscale_b,I),s.uniform1f(d.u_sdfgamma,P)}else w?(s.uniform1f(d.u_ratio,L),s.uniform2fv(d.u_pattern_size_a,[a(A,g.size[0]*w.fromScale,t.transform.tileZoom),v.size[1]]),s.uniform2fv(d.u_pattern_size_b,[a(A,v.size[0]*w.toScale,t.transform.tileZoom),v.size[1]])):s.uniform1f(d.u_ratio,L);for(var O=0;O<S.length;O++){var j=S[O];j.vaos[r.id].bind(s,d,j.layoutVertexBuffer,j.elementBuffer),s.drawElements(s.TRIANGLES,3*j.elementBuffer.length,s.UNSIGNED_SHORT,0)}}}}}}}},{\"../source/pixels_to_tile_units\":345,\"../util/browser\":408,\"gl-matrix\":177}],333:[function(t,e,r){\"use strict\";function n(t,e,r,n){if(!t.isOpaquePass){var a=t.gl;a.enable(a.DEPTH_TEST),t.depthMask(!0),a.depthFunc(a.LESS);for(var o=n.length&&n[0].z,s=0;s<n.length;s++){var l=n[s];t.setDepthSublayer(l.z-o),i(t,e,r,l)}a.depthFunc(a.LEQUAL)}}function i(t,e,r,n){var i=t.gl;i.disable(i.STENCIL_TEST);var u=e.getTile(n),c=t.transform.calculatePosMatrix(n,e.maxzoom),h=t.useProgram(\"raster\");i.uniformMatrix4fv(h.u_matrix,!1,c),i.uniform1f(h.u_brightness_low,r.paint[\"raster-brightness-min\"]),i.uniform1f(h.u_brightness_high,r.paint[\"raster-brightness-max\"]),i.uniform1f(h.u_saturation_factor,s(r.paint[\"raster-saturation\"])),i.uniform1f(h.u_contrast_factor,o(r.paint[\"raster-contrast\"])),i.uniform3fv(h.u_spin_weights,a(r.paint[\"raster-hue-rotate\"]));var f,d,p=u.source&&u.source.findLoadedParent(n,0,{}),m=l(u,p,r,t.transform);i.activeTexture(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,u.texture),i.activeTexture(i.TEXTURE1),p?(i.bindTexture(i.TEXTURE_2D,p.texture),f=Math.pow(2,p.coord.z-u.coord.z),d=[u.coord.x*f%1,u.coord.y*f%1]):(i.bindTexture(i.TEXTURE_2D,u.texture),m[1]=0),i.uniform2fv(h.u_tl_parent,d||[0,0]),i.uniform1f(h.u_scale_parent,f||1),i.uniform1f(h.u_buffer_scale,1),i.uniform1f(h.u_opacity0,m[0]),i.uniform1f(h.u_opacity1,m[1]),i.uniform1i(h.u_image0,0),i.uniform1i(h.u_image1,1);var g=u.boundsBuffer||t.rasterBoundsBuffer;(u.boundsVAO||t.rasterBoundsVAO).bind(i,h,g),i.drawArrays(i.TRIANGLE_STRIP,0,g.length)}function a(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}function o(t){return t>0?1/(1-t):1+t}function s(t){return t>0?1-1/(1.001-t):-t}function l(t,e,r,n){var i=[1,0],a=r.paint[\"raster-fade-duration\"];if(t.source&&a>0){var o=(new Date).getTime(),s=(o-t.timeAdded)/a,l=e?(o-e.timeAdded)/a:-1,c=n.coveringZoomLevel(t.source),h=!!e&&Math.abs(e.coord.z-c)>Math.abs(t.coord.z-c);!e||h?(i[0]=u.clamp(s,0,1),i[1]=1-i[0]):(i[0]=u.clamp(1-l,0,1),i[1]=1-i[0])}var f=r.paint[\"raster-opacity\"];return i[0]*=f,i[1]*=f,i}var u=t(\"../util/util\"),c=t(\"../util/struct_array\");e.exports=n,n.RasterBoundsArray=new c({members:[{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]})},{\"../util/struct_array\":422,\"../util/util\":424}],334:[function(t,e,r){\"use strict\";function n(t,e,r,n){if(!t.isOpaquePass){var a=!(r.layout[\"text-allow-overlap\"]||r.layout[\"icon-allow-overlap\"]||r.layout[\"text-ignore-placement\"]||r.layout[\"icon-ignore-placement\"]),o=t.gl;a?o.disable(o.STENCIL_TEST):o.enable(o.STENCIL_TEST),t.setDepthSublayer(0),t.depthMask(!1),o.disable(o.DEPTH_TEST),i(t,e,r,n,!1,r.paint[\"icon-translate\"],r.paint[\"icon-translate-anchor\"],r.layout[\"icon-rotation-alignment\"],r.layout[\"icon-rotation-alignment\"],r.layout[\"icon-size\"],r.paint[\"icon-halo-width\"],r.paint[\"icon-halo-color\"],r.paint[\"icon-halo-blur\"],r.paint[\"icon-opacity\"],r.paint[\"icon-color\"]),i(t,e,r,n,!0,r.paint[\"text-translate\"],r.paint[\"text-translate-anchor\"],r.layout[\"text-rotation-alignment\"],r.layout[\"text-pitch-alignment\"],r.layout[\"text-size\"],r.paint[\"text-halo-width\"],r.paint[\"text-halo-color\"],r.paint[\"text-halo-blur\"],r.paint[\"text-opacity\"],r.paint[\"text-color\"]),o.enable(o.DEPTH_TEST),e.map.showCollisionBoxes&&s(t,e,r,n)}}function i(t,e,r,n,i,o,s,l,u,c,h,f,d,p,m){for(var g=0;g<n.length;g++){var v=e.getTile(n[g]),y=v.getBucket(r);if(y){var b=y.bufferGroups,x=i?b.glyph:b.icon;x.length&&(t.enableTileClippingMask(n[g]),a(t,r,n[g].posMatrix,v,y,x,i,i||y.sdfIcons,!i&&y.iconsNeedLinear,i?y.adjustedTextSize:y.adjustedIconSize,y.fontstack,o,s,l,u,c,h,f,d,p,m))}}}function a(t,e,r,n,i,a,s,u,c,h,f,d,p,m,g,v,y,b,x,_,w){var M,k,A,T=t.gl,S=t.transform,E=\"map\"===m,L=\"map\"===g,C=s?24:1,z=v/C;if(L?(k=l(n,1,t.transform.zoom)*z,A=1/Math.cos(S._pitch),M=[k,k]):(k=t.transform.altitude*z,A=1,M=[S.pixelsToGLUnits[0]*k,S.pixelsToGLUnits[1]*k]),s||t.style.sprite.loaded()){var D=t.useProgram(u?\"sdf\":\"icon\");if(T.uniformMatrix4fv(D.u_matrix,!1,t.translatePosMatrix(r,n,d,p)),T.uniform1i(D.u_rotate_with_map,E),T.uniform1i(D.u_pitch_with_map,L),T.uniform2fv(D.u_extrude_scale,M),T.activeTexture(T.TEXTURE0),T.uniform1i(D.u_texture,0),s){var I=f&&t.glyphSource.getGlyphAtlas(f);if(!I)return;I.updateTexture(T),T.uniform2f(D.u_texsize,I.width/4,I.height/4)}else{var P=t.options.rotating||t.options.zooming,O=1!==z||o.devicePixelRatio!==t.spriteAtlas.pixelRatio||c,j=L||t.transform.pitch;t.spriteAtlas.bind(T,u||P||O||j),T.uniform2f(D.u_texsize,t.spriteAtlas.width/4,t.spriteAtlas.height/4)}var R=Math.log(v/h)/Math.LN2||0;T.uniform1f(D.u_zoom,10*(t.transform.zoom-R)),T.activeTexture(T.TEXTURE1),t.frameHistory.bind(T),T.uniform1i(D.u_fadetexture,1);var F;if(u){var N=.105*C/v/o.devicePixelRatio;if(y){T.uniform1f(D.u_gamma,(1.19*x/z/8+N)*A),T.uniform4fv(D.u_color,b),T.uniform1f(D.u_opacity,_),T.uniform1f(D.u_buffer,(6-y/z)/8);for(var B=0;B<a.length;B++)F=a[B],F.vaos[e.id].bind(T,D,F.layoutVertexBuffer,F.elementBuffer),T.drawElements(T.TRIANGLES,3*F.elementBuffer.length,T.UNSIGNED_SHORT,0)}T.uniform1f(D.u_gamma,N*A),T.uniform4fv(D.u_color,w),T.uniform1f(D.u_opacity,_),T.uniform1f(D.u_buffer,.75),T.uniform1f(D.u_pitch,S.pitch/360*2*Math.PI),T.uniform1f(D.u_bearing,S.bearing/360*2*Math.PI),T.uniform1f(D.u_aspect_ratio,S.width/S.height);for(var U=0;U<a.length;U++)F=a[U],F.vaos[e.id].bind(T,D,F.layoutVertexBuffer,F.elementBuffer),T.drawElements(T.TRIANGLES,3*F.elementBuffer.length,T.UNSIGNED_SHORT,0)}else{T.uniform1f(D.u_opacity,_);for(var V=0;V<a.length;V++)F=a[V],F.vaos[e.id].bind(T,D,F.layoutVertexBuffer,F.elementBuffer),T.drawElements(T.TRIANGLES,3*F.elementBuffer.length,T.UNSIGNED_SHORT,0)}}}var o=t(\"../util/browser\"),s=t(\"./draw_collision_debug\"),l=t(\"../source/pixels_to_tile_units\");e.exports=n},{\"../source/pixels_to_tile_units\":345,\"../util/browser\":408,\"./draw_collision_debug\":329}],335:[function(t,e,r){\"use strict\";function n(){this.changeTimes=new Float64Array(256),this.changeOpacities=new Uint8Array(256),this.opacities=new Uint8ClampedArray(256),this.array=new Uint8Array(this.opacities.buffer),this.fadeDuration=300,this.previousZoom=0,this.firstFrame=!0}e.exports=n,n.prototype.record=function(t){var e=Date.now();this.firstFrame&&(e=0,this.firstFrame=!1),t=Math.floor(10*t);var r;if(t<this.previousZoom)for(r=t+1;r<=this.previousZoom;r++)this.changeTimes[r]=e,this.changeOpacities[r]=this.opacities[r];else for(r=t;r>this.previousZoom;r--)this.changeTimes[r]=e,this.changeOpacities[r]=this.opacities[r];for(r=0;r<256;r++){var n=e-this.changeTimes[r],i=n/this.fadeDuration*255;this.opacities[r]=r<=t?this.changeOpacities[r]+i:this.changeOpacities[r]-i}this.changed=!0,this.previousZoom=t},n.prototype.bind=function(t){this.texture?(t.bindTexture(t.TEXTURE_2D,this.texture),this.changed&&(t.texSubImage2D(t.TEXTURE_2D,0,0,0,256,1,t.ALPHA,t.UNSIGNED_BYTE,this.array),this.changed=!1)):(this.texture=t.createTexture(),t.bindTexture(t.TEXTURE_2D,this.texture),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texImage2D(t.TEXTURE_2D,0,t.ALPHA,256,1,0,t.ALPHA,t.UNSIGNED_BYTE,this.array))}},{}],336:[function(t,e,r){\"use strict\";function n(t,e){this.width=t,this.height=e,this.nextRow=0,this.bytes=4,this.data=new Uint8Array(this.width*this.height*this.bytes),this.positions={}}var i=t(\"../util/util\");e.exports=n,n.prototype.setSprite=function(t){this.sprite=t},n.prototype.getDash=function(t,e){var r=t.join(\",\")+e;return this.positions[r]||(this.positions[r]=this.addDash(t,e)),this.positions[r]},n.prototype.addDash=function(t,e){var r=e?7:0,n=2*r+1;if(this.nextRow+n>this.height)return i.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<t.length;o++)a+=t[o];for(var s=this.width/a,l=s/2,u=t.length%2==1,c=-r;c<=r;c++)for(var h=this.nextRow+r+c,f=this.width*h,d=u?-t[t.length-1]:0,p=t[0],m=1,g=0;g<this.width;g++){for(;p<g/s;)d=p,p+=t[m],u&&m===t.length-1&&(p+=t[0]),m++;var v,y=Math.abs(g-d*s),b=Math.abs(g-p*s),x=Math.min(y,b),_=m%2==1;if(e){var w=r?c/r*(l+1):0;if(_){var M=l-Math.abs(w);v=Math.sqrt(x*x+M*M)}else v=l-Math.sqrt(x*x+w*w)}else v=(_?1:-1)*x;this.data[3+4*(f+g)]=Math.max(0,Math.min(255,v+128))}var k={y:(this.nextRow+r+.5)/this.height,height:2*r/this.height,width:a};return this.nextRow+=n,this.dirty=!0,k},n.prototype.bind=function(t){this.texture?(t.bindTexture(t.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,t.texSubImage2D(t.TEXTURE_2D,0,0,0,this.width,this.height,t.RGBA,t.UNSIGNED_BYTE,this.data))):(this.texture=t.createTexture(),t.bindTexture(t.TEXTURE_2D,this.texture),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.REPEAT),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.REPEAT),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.LINEAR),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.LINEAR),t.texImage2D(t.TEXTURE_2D,0,t.RGBA,this.width,this.height,0,t.RGBA,t.UNSIGNED_BYTE,this.data))}},{\"../util/util\":424}],337:[function(t,e,r){\"use strict\";function n(t,e){this.gl=t,this.transform=e,this.reusableTextures={},this.preFbos={},this.frameHistory=new o,this.setup(),this.numSublayers=s.maxUnderzooming+s.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.lineWidthRange=t.getParameter(t.ALIASED_LINE_WIDTH_RANGE)}var i=t(\"../util/browser\"),a=t(\"gl-matrix\").mat4,o=t(\"./frame_history\"),s=t(\"../source/source_cache\"),l=t(\"../data/bucket\").EXTENT,u=t(\"../source/pixels_to_tile_units\"),c=t(\"../util/util\"),h=t(\"../util/struct_array\"),f=t(\"../data/buffer\"),d=t(\"./vertex_array_object\"),p=t(\"./draw_raster\").RasterBoundsArray,m=t(\"./create_uniform_pragmas\");e.exports=n,c.extend(n.prototype,t(\"./painter/use_program\")),n.prototype.resize=function(t,e){var r=this.gl;this.width=t*i.devicePixelRatio,this.height=e*i.devicePixelRatio,r.viewport(0,0,this.width,this.height)},n.prototype.setup=function(){var t=this.gl;t.verbose=!0,t.enable(t.BLEND),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),t.enable(t.STENCIL_TEST),t.enable(t.DEPTH_TEST),t.depthFunc(t.LEQUAL),this._depthMask=!1,t.depthMask(!1);var e=this.PosArray=new h({members:[{name:\"a_pos\",type:\"Int16\",components:2}]}),r=new e;r.emplaceBack(0,0),r.emplaceBack(l,0),r.emplaceBack(0,l),r.emplaceBack(l,l),this.tileExtentBuffer=new f(r.serialize(),e.serialize(),f.BufferType.VERTEX),this.tileExtentVAO=new d,this.tileExtentPatternVAO=new d;var n=new e;n.emplaceBack(0,0),n.emplaceBack(l,0),n.emplaceBack(l,l),n.emplaceBack(0,l),n.emplaceBack(0,0),this.debugBuffer=new f(n.serialize(),e.serialize(),f.BufferType.VERTEX),this.debugVAO=new d;var i=new p;i.emplaceBack(0,0,0,0),i.emplaceBack(l,0,32767,0),i.emplaceBack(0,l,0,32767),i.emplaceBack(l,l,32767,32767),this.rasterBoundsBuffer=new f(i.serialize(),p.serialize(),f.BufferType.VERTEX),this.rasterBoundsVAO=new d},n.prototype.clearColor=function(){var t=this.gl;t.clearColor(0,0,0,0),t.clear(t.COLOR_BUFFER_BIT)},n.prototype.clearStencil=function(){var t=this.gl;t.clearStencil(0),t.stencilMask(255),t.clear(t.STENCIL_BUFFER_BIT)},n.prototype.clearDepth=function(){var t=this.gl;t.clearDepth(1),this.depthMask(!0),t.clear(t.DEPTH_BUFFER_BIT)},n.prototype._renderTileClippingMasks=function(t){var e=this.gl;e.colorMask(!1,!1,!1,!1),this.depthMask(!1),e.disable(e.DEPTH_TEST),e.enable(e.STENCIL_TEST),e.stencilMask(248),e.stencilOp(e.KEEP,e.KEEP,e.REPLACE);var r=1;this._tileClippingMaskIDs={};for(var n=0;n<t.length;n++){var i=t[n],a=this._tileClippingMaskIDs[i.id]=r++<<3;e.stencilFunc(e.ALWAYS,a,248);var o=m([{name:\"u_color\",components:4},{name:\"u_opacity\",components:1}]),s=this.useProgram(\"fill\",[],o,o);e.uniformMatrix4fv(s.u_matrix,!1,i.posMatrix),this.tileExtentVAO.bind(e,s,this.tileExtentBuffer),e.drawArrays(e.TRIANGLE_STRIP,0,this.tileExtentBuffer.length)}e.stencilMask(0),e.colorMask(!0,!0,!0,!0),this.depthMask(!0),e.enable(e.DEPTH_TEST)},n.prototype.enableTileClippingMask=function(t){var e=this.gl;e.stencilFunc(e.EQUAL,this._tileClippingMaskIDs[t.id],248)},n.prototype.prepareBuffers=function(){},n.prototype.bindDefaultFramebuffer=function(){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,null)};var g={symbol:t(\"./draw_symbol\"),circle:t(\"./draw_circle\"),line:t(\"./draw_line\"),fill:t(\"./draw_fill\"),raster:t(\"./draw_raster\"),background:t(\"./draw_background\"),debug:t(\"./draw_debug\")};n.prototype.render=function(t,e){this.style=t,this.options=e,this.lineAtlas=t.lineAtlas,this.spriteAtlas=t.spriteAtlas,this.spriteAtlas.setSprite(t.sprite),this.glyphSource=t.glyphSource,this.frameHistory.record(this.transform.zoom),this.prepareBuffers(),this.clearColor(),this.clearDepth(),this.showOverdrawInspector(e.showOverdrawInspector),this.depthRange=(t._order.length+2)*this.numSublayers*this.depthEpsilon,this.renderPass({isOpaquePass:!0}),this.renderPass({isOpaquePass:!1})},n.prototype.renderPass=function(t){var e=this.style._groups,r=t.isOpaquePass;this.currentLayer=r?this.style._order.length:-1;for(var n=0;n<e.length;n++){var i,a=e[r?e.length-1-n:n],o=this.style.sources[a.source],s=[];if(o){for(s=o.getVisibleCoordinates(),i=0;i<s.length;i++)s[i].posMatrix=this.transform.calculatePosMatrix(s[i],o.maxzoom);this.clearStencil(),o.prepare&&o.prepare(),o.isTileClipped&&this._renderTileClippingMasks(s)}for(r?(this._showOverdrawInspector||this.gl.disable(this.gl.BLEND),this.isOpaquePass=!0):(this.gl.enable(this.gl.BLEND),this.isOpaquePass=!1,s.reverse()),i=0;i<a.length;i++){var l=a[r?a.length-1-i:i];this.currentLayer+=r?-1:1,this.renderLayer(this,o,l,s)}o&&g.debug(this,o,s)}},n.prototype.depthMask=function(t){t!==this._depthMask&&(this._depthMask=t,this.gl.depthMask(t))},n.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||n.length)&&(this.id=r.id,g[r.type](t,e,r,n))},n.prototype.setDepthSublayer=function(t){var e=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon,r=e-1+this.depthRange;this.gl.depthRange(r,e)},n.prototype.translatePosMatrix=function(t,e,r,n){if(!r[0]&&!r[1])return t;if(\"viewport\"===n){var i=Math.sin(-this.transform.angle),o=Math.cos(-this.transform.angle);r=[r[0]*o-r[1]*i,r[0]*i+r[1]*o]}var s=[u(e,r[0],this.transform.zoom),u(e,r[1],this.transform.zoom),0],l=new Float32Array(16);return a.translate(l,t,s),l},n.prototype.saveTexture=function(t){var e=this.reusableTextures[t.size];e?e.push(t):this.reusableTextures[t.size]=[t]},n.prototype.getTexture=function(t){var e=this.reusableTextures[t];return e&&e.length>0?e.pop():null},n.prototype.lineWidth=function(t){this.gl.lineWidth(c.clamp(t,this.lineWidthRange[0],this.lineWidthRange[1]))},n.prototype.showOverdrawInspector=function(t){if(t||this._showOverdrawInspector){this._showOverdrawInspector=t;var e=this.gl;if(t){e.blendFunc(e.CONSTANT_COLOR,e.ONE);e.blendColor(1/8,1/8,1/8,0),e.clearColor(0,0,0,1),e.clear(e.COLOR_BUFFER_BIT)}else e.blendFunc(e.ONE,e.ONE_MINUS_SRC_ALPHA)}}},{\"../data/bucket\":311,\"../data/buffer\":316,\"../source/pixels_to_tile_units\":345,\"../source/source_cache\":349,\"../util/browser\":408,\"../util/struct_array\":422,\"../util/util\":424,\"./create_uniform_pragmas\":326,\"./draw_background\":327,\"./draw_circle\":328,\"./draw_debug\":330,\"./draw_fill\":331,\"./draw_line\":332,\"./draw_raster\":333,\"./draw_symbol\":334,\"./frame_history\":335,\"./painter/use_program\":338,\"./vertex_array_object\":339,\"gl-matrix\":177}],338:[function(t,e,r){\"use strict\";function n(t,e){return t.replace(/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,function(t,r,n,i,a){return e[r][a].replace(/{type}/g,i).replace(/{precision}/g,n)})}var i=t(\"assert\"),a=t(\"../../util/util\"),o=t(\"mapbox-gl-shaders\"),s=o.util;e.exports._createProgram=function(t,e,r,l){for(var u=this.gl,c=u.createProgram(),h=o[t],f=\"#define MAPBOX_GL_JS;\\n\",d=0;d<e.length;d++)f+=\"#define \"+e[d]+\";\\n\";var p=u.createShader(u.FRAGMENT_SHADER);u.shaderSource(p,n(f+h.fragmentSource,l)),u.compileShader(p),i(u.getShaderParameter(p,u.COMPILE_STATUS),u.getShaderInfoLog(p)),u.attachShader(c,p);var m=u.createShader(u.VERTEX_SHADER);u.shaderSource(m,n(f+s+h.vertexSource,r)),u.compileShader(m),i(u.getShaderParameter(m,u.COMPILE_STATUS),u.getShaderInfoLog(m)),u.attachShader(c,m),u.linkProgram(c),i(u.getProgramParameter(c,u.LINK_STATUS),u.getProgramInfoLog(c));for(var g={},v=u.getProgramParameter(c,u.ACTIVE_ATTRIBUTES),y=0;y<v;y++){var b=u.getActiveAttrib(c,y);g[b.name]=u.getAttribLocation(c,b.name)}for(var x={},_=u.getProgramParameter(c,u.ACTIVE_UNIFORMS),w=0;w<_;w++){var M=u.getActiveUniform(c,w);x[M.name]=u.getUniformLocation(c,M.name)}return a.extend({program:c,definition:h,attributes:g,numAttributes:v},g,x)},e.exports._createProgramCached=function(t,e,r,n){this.cache=this.cache||{};var i=JSON.stringify({name:t,defines:e,vertexPragmas:r,fragmentPragmas:n});return this.cache[i]||(this.cache[i]=this._createProgram(t,e,r,n)),this.cache[i]},e.exports.useProgram=function(t,e,r,n){var i=this.gl;e=e||[],this._showOverdrawInspector&&(e=e.concat(\"OVERDRAW_INSPECTOR\"));var a=this._createProgramCached(t,e,r,n);return this.currentProgram!==a&&(i.useProgram(a.program),this.currentProgram=a),a}},{\"../../util/util\":424,assert:40,\"mapbox-gl-shaders\":285}],339:[function(t,e,r){\"use strict\";function n(){this.boundProgram=null,this.boundVertexBuffer=null,this.boundVertexBuffer2=null,this.boundElementBuffer=null,this.vao=null}var i=t(\"assert\");e.exports=n,n.prototype.bind=function(t,e,r,n,i){void 0===t.extVertexArrayObject&&(t.extVertexArrayObject=t.getExtension(\"OES_vertex_array_object\"));var a=!this.vao||this.boundProgram!==e||this.boundVertexBuffer!==r||this.boundVertexBuffer2!==i||this.boundElementBuffer!==n;!t.extVertexArrayObject||a?this.freshBind(t,e,r,n,i):t.extVertexArrayObject.bindVertexArrayOES(this.vao)},n.prototype.freshBind=function(t,e,r,n,a){var o,s=e.numAttributes;if(t.extVertexArrayObject)this.vao&&this.destroy(t),this.vao=t.extVertexArrayObject.createVertexArrayOES(),t.extVertexArrayObject.bindVertexArrayOES(this.vao),o=0,this.boundProgram=e,this.boundVertexBuffer=r,this.boundVertexBuffer2=a,this.boundElementBuffer=n;else{o=t.currentNumAttributes||0;for(var l=s;l<o;l++)i(0!==l),t.disableVertexAttribArray(l)}for(var u=o;u<s;u++)t.enableVertexAttribArray(u);r.bind(t),r.setVertexAttribPointers(t,e),a&&(a.bind(t),a.setVertexAttribPointers(t,e)),n&&n.bind(t),t.currentNumAttributes=s},n.prototype.unbind=function(t){var e=t.extVertexArrayObject;e&&e.bindVertexArrayOES(null)},n.prototype.destroy=function(t){var e=t.extVertexArrayObject;e&&this.vao&&(e.deleteVertexArrayOES(this.vao),this.vao=null)}},{assert:40}],340:[function(t,e,r){\"use strict\";function n(t,e,r){e=e||{},this.id=t,this.dispatcher=r,this._data=e.data,void 0!==e.maxzoom&&(this.maxzoom=e.maxzoom),e.type&&(this.type=e.type);var n=s/this.tileSize;this.workerOptions=a.extend({source:this.id,cluster:e.cluster||!1,geojsonVtOptions:{buffer:(void 0!==e.buffer?e.buffer:128)*n,tolerance:(void 0!==e.tolerance?e.tolerance:.375)*n,extent:s,maxZoom:this.maxzoom},superclusterOptions:{maxZoom:Math.min(e.clusterMaxZoom,this.maxzoom-1)||this.maxzoom-1,extent:s,radius:(e.clusterRadius||50)*n,log:!1}},e.workerOptions),this._updateWorkerData(function(t){if(t)return void this.fire(\"error\",{error:t});this.fire(\"load\")}.bind(this))}var i=t(\"../util/evented\"),a=t(\"../util/util\"),o=t(\"resolve-url\"),s=t(\"../data/bucket\").EXTENT;e.exports=n,n.prototype=a.inherit(i,{type:\"geojson\",minzoom:0,maxzoom:18,tileSize:512,isTileClipped:!0,reparseOverscaled:!0,onAdd:function(t){this.map=t},setData:function(t){return this._data=t,this._updateWorkerData(function(t){if(t)return this.fire(\"error\",{error:t});this.fire(\"change\")}.bind(this)),this},_updateWorkerData:function(t){var e=a.extend({},this.workerOptions),r=this._data;\"string\"==typeof r?e.url=\"undefined\"!=typeof window?o(window.location.href,r):r:e.data=JSON.stringify(r),this.workerID=this.dispatcher.send(this.type+\".loadData\",e,function(e){this._loaded=!0,t(e)}.bind(this))},loadTile:function(t,e){var r=t.coord.z>this.maxzoom?Math.pow(2,t.coord.z-this.maxzoom):1,n={type:this.type,uid:t.uid,coord:t.coord,zoom:t.coord.z,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,overscaling:r,angle:this.map.transform.angle,\n",
       "pitch:this.map.transform.pitch,showCollisionBoxes:this.map.showCollisionBoxes};t.workerID=this.dispatcher.send(\"load tile\",n,function(r,n){if(t.unloadVectorData(this.map.painter),!t.aborted)return r?e(r):(t.loadVectorData(n,this.map.style),t.redoWhenDone&&(t.redoWhenDone=!1,t.redoPlacement(this)),e(null))}.bind(this),this.workerID)},abortTile:function(t){t.aborted=!0},unloadTile:function(t){t.unloadVectorData(this.map.painter),this.dispatcher.send(\"remove tile\",{uid:t.uid,source:this.id},function(){},t.workerID)},serialize:function(){return{type:this.type,data:this._data}}})},{\"../data/bucket\":311,\"../util/evented\":416,\"../util/util\":424,\"resolve-url\":482}],341:[function(t,e,r){\"use strict\";function n(t,e,r){r&&(this.loadGeoJSON=r),h.call(this,t,e)}var i=t(\"../util/util\"),a=t(\"../util/ajax\"),o=t(\"geojson-rewind\"),s=t(\"./geojson_wrapper\"),l=t(\"vt-pbf\"),u=t(\"supercluster\"),c=t(\"geojson-vt\"),h=t(\"./vector_tile_worker_source\");e.exports=n,n.prototype=i.inherit(h,{_geoJSONIndexes:{},loadVectorData:function(t,e){var r=t.source,n=t.coord;if(!this._geoJSONIndexes[r])return e(null,null);var i=this._geoJSONIndexes[r].getTile(Math.min(n.z,t.maxZoom),n.x,n.y);if(!i)return e(null,null);var a=new s(i.features);a.name=\"_geojsonTileLayer\";var o=l({layers:{_geojsonTileLayer:a}});0===o.byteOffset&&o.byteLength===o.buffer.byteLength||(o=new Uint8Array(o)),e(null,{tile:a,rawTileData:o.buffer})},loadData:function(t,e){var r=function(r,n){return r?e(r):\"object\"!=typeof n?e(new Error(\"Input data is not a valid GeoJSON object.\")):(o(n,!0),void this._indexData(n,t,function(r,n){if(r)return e(r);this._geoJSONIndexes[t.source]=n,e(null)}.bind(this)))}.bind(this);this.loadGeoJSON(t,r)},loadGeoJSON:function(t,e){if(t.url)a.getJSON(t.url,e);else{if(\"string\"!=typeof t.data)return e(new Error(\"Input data is not a valid GeoJSON object.\"));try{return e(null,JSON.parse(t.data))}catch(t){return e(new Error(\"Input data is not a valid GeoJSON object.\"))}}},_indexData:function(t,e,r){try{e.cluster?r(null,u(e.superclusterOptions).load(t.features)):r(null,c(t,e.geojsonVtOptions))}catch(t){return r(t)}}})},{\"../util/ajax\":407,\"../util/util\":424,\"./geojson_wrapper\":342,\"./vector_tile_worker_source\":353,\"geojson-rewind\":123,\"geojson-vt\":127,supercluster:509,\"vt-pbf\":536}],342:[function(t,e,r){\"use strict\";function n(t){this.features=t,this.length=t.length,this.extent=s}function i(t){if(this.type=t.type,1===t.type){this.rawGeometry=[];for(var e=0;e<t.geometry.length;e++)this.rawGeometry.push([t.geometry[e]])}else this.rawGeometry=t.geometry;this.properties=t.tags,this.extent=s}var a=t(\"point-geometry\"),o=t(\"vector-tile\").VectorTileFeature,s=t(\"../data/bucket\").EXTENT;e.exports=n,n.prototype.feature=function(t){return new i(this.features[t])},i.prototype.loadGeometry=function(){var t=this.rawGeometry;this.geometry=[];for(var e=0;e<t.length;e++){for(var r=t[e],n=[],i=0;i<r.length;i++)n.push(new a(r[i][0],r[i][1]));this.geometry.push(n)}return this.geometry},i.prototype.bbox=function(){this.geometry||this.loadGeometry();for(var t=this.geometry,e=1/0,r=-1/0,n=1/0,i=-1/0,a=0;a<t.length;a++)for(var o=t[a],s=0;s<o.length;s++){var l=o[s];e=Math.min(e,l.x),r=Math.max(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.y)}return[e,n,r,i]},i.prototype.toGeoJSON=o.prototype.toGeoJSON},{\"../data/bucket\":311,\"point-geometry\":465,\"vector-tile\":530}],343:[function(t,e,r){\"use strict\";function n(t,e,r){this.id=t,this.dispatcher=r,this.url=e.url,this.coordinates=e.coordinates,u.getImage(e.url,function(t,r){if(t)return this.fire(\"error\",{error:t});this.image=r,this.image.addEventListener(\"load\",function(){this.map._rerender()}.bind(this)),this._loaded=!0,this.fire(\"load\"),this.map&&this.setCoordinates(e.coordinates)}.bind(this))}var i=t(\"../util/util\"),a=t(\"./tile_coord\"),o=t(\"../geo/lng_lat\"),s=t(\"point-geometry\"),l=t(\"../util/evented\"),u=t(\"../util/ajax\"),c=t(\"../data/bucket\").EXTENT,h=t(\"../render/draw_raster\").RasterBoundsArray,f=t(\"../data/buffer\"),d=t(\"../render/vertex_array_object\");e.exports=n,n.prototype=i.inherit(l,{minzoom:0,maxzoom:22,tileSize:512,onAdd:function(t){this.map=t,this.image&&this.setCoordinates(this.coordinates)},setCoordinates:function(t){this.coordinates=t;var e=this.map,r=t.map(function(t){return e.transform.locationCoordinate(o.convert(t)).zoomTo(0)}),n=this.centerCoord=i.getCoordinatesCenter(r);return n.column=Math.round(n.column),n.row=Math.round(n.row),this.minzoom=this.maxzoom=n.zoom,this._coord=new a(n.zoom,n.column,n.row),this._tileCoords=r.map(function(t){var e=t.zoomTo(n.zoom);return new s(Math.round((e.column-n.column)*c),Math.round((e.row-n.row)*c))}),this.fire(\"change\"),this},_setTile:function(t){this._prepared=!1,this.tile=t;var e=new h;e.emplaceBack(this._tileCoords[0].x,this._tileCoords[0].y,0,0),e.emplaceBack(this._tileCoords[1].x,this._tileCoords[1].y,32767,0),e.emplaceBack(this._tileCoords[3].x,this._tileCoords[3].y,0,32767),e.emplaceBack(this._tileCoords[2].x,this._tileCoords[2].y,32767,32767),this.tile.buckets={},this.tile.boundsBuffer=new f(e.serialize(),h.serialize(),f.BufferType.VERTEX),this.tile.boundsVAO=new d,this.tile.state=\"loaded\"},prepare:function(){if(this._loaded&&this.image&&this.image.complete&&this.tile){var t=this.map.painter,e=t.gl;this._prepared?(e.bindTexture(e.TEXTURE_2D,this.tile.texture),e.texSubImage2D(e.TEXTURE_2D,0,0,0,e.RGBA,e.UNSIGNED_BYTE,this.image)):(this.tile.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.tile.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.CLAMP_TO_EDGE),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.CLAMP_TO_EDGE),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.RGBA,e.RGBA,e.UNSIGNED_BYTE,this.image))}},loadTile:function(t,e){this._coord&&this._coord.toString()===t.coord.toString()?(this._setTile(t),e(null)):(t.state=\"errored\",e(null))},serialize:function(){return{type:\"image\",urls:this.url,coordinates:this.coordinates}}})},{\"../data/bucket\":311,\"../data/buffer\":316,\"../geo/lng_lat\":321,\"../render/draw_raster\":333,\"../render/vertex_array_object\":339,\"../util/ajax\":407,\"../util/evented\":416,\"../util/util\":424,\"./tile_coord\":351,\"point-geometry\":465}],344:[function(t,e,r){\"use strict\";var n=t(\"../util/util\"),i=t(\"../util/ajax\"),a=t(\"../util/browser\"),o=t(\"../util/mapbox\").normalizeSourceURL;e.exports=function(t,e){var r=function(t,r){if(t)return e(t);var i=n.pick(r,[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\"]);r.vector_layers&&(i.vectorLayers=r.vector_layers,i.vectorLayerIds=i.vectorLayers.map(function(t){return t.id})),e(null,i)};t.url?i.getJSON(o(t.url),r):a.frame(r.bind(null,null,t))}},{\"../util/ajax\":407,\"../util/browser\":408,\"../util/mapbox\":421,\"../util/util\":424}],345:[function(t,e,r){\"use strict\";var n=t(\"../data/bucket\");e.exports=function(t,e,r){return e*(n.EXTENT/(t.tileSize*Math.pow(2,r-t.coord.z)))}},{\"../data/bucket\":311}],346:[function(t,e,r){\"use strict\";function n(t,e){var r=t.coord,n=e.coord;return r.z-n.z||r.y-n.y||r.w-n.w||r.x-n.x}function i(t){for(var e=t[0]||{},r=1;r<t.length;r++){var n=t[r];for(var i in n){var a=n[i],o=e[i];if(void 0===o)o=e[i]=a;else for(var s=0;s<a.length;s++)o.push(a[s])}}return e}var a=t(\"./tile_coord\");r.rendered=function(t,e,r,a,o,s){var l=t.tilesIn(r);l.sort(n);for(var u=[],c=0;c<l.length;c++){var h=l[c];h.tile.featureIndex&&u.push(h.tile.featureIndex.query({queryGeometry:h.queryGeometry,scale:h.scale,tileSize:h.tile.tileSize,bearing:s,params:a},e))}return i(u)},r.source=function(t,e){for(var r=t.getRenderableIds().map(function(e){return t.getTileByID(e)}),n=[],i={},o=0;o<r.length;o++){var s=r[o],l=new a(Math.min(s.sourceMaxZoom,s.coord.z),s.coord.x,s.coord.y,0).id;i[l]||(i[l]=!0,s.querySourceFeatures(n,e))}return n}},{\"./tile_coord\":351}],347:[function(t,e,r){\"use strict\";function n(t,e,r){this.id=t,this.dispatcher=r,i.extend(this,i.pick(e,[\"url\",\"scheme\",\"tileSize\"])),s(e,function(t,e){if(t)return this.fire(\"error\",t);i.extend(this,e),this.fire(\"load\")}.bind(this))}var i=t(\"../util/util\"),a=t(\"../util/ajax\"),o=t(\"../util/evented\"),s=t(\"./load_tilejson\"),l=t(\"../util/mapbox\").normalizeTileURL;e.exports=n,n.prototype=i.inherit(o,{minzoom:0,maxzoom:22,roundZoom:!0,scheme:\"xyz\",tileSize:512,_loaded:!1,onAdd:function(t){this.map=t},serialize:function(){return{type:\"raster\",url:this.url,tileSize:this.tileSize}},loadTile:function(t,e){function r(r,n){if(delete t.request,!t.aborted){if(r)return e(r);var i=this.map.painter.gl;t.texture=this.map.painter.getTexture(n.width),t.texture?(i.bindTexture(i.TEXTURE_2D,t.texture),i.texSubImage2D(i.TEXTURE_2D,0,0,0,i.RGBA,i.UNSIGNED_BYTE,n)):(t.texture=i.createTexture(),i.bindTexture(i.TEXTURE_2D,t.texture),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MIN_FILTER,i.LINEAR_MIPMAP_NEAREST),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MAG_FILTER,i.LINEAR),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_S,i.CLAMP_TO_EDGE),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_T,i.CLAMP_TO_EDGE),i.pixelStorei(i.UNPACK_PREMULTIPLY_ALPHA_WEBGL,!0),i.texImage2D(i.TEXTURE_2D,0,i.RGBA,i.RGBA,i.UNSIGNED_BYTE,n),t.texture.size=n.width),i.generateMipmap(i.TEXTURE_2D),this.map.animationLoop.set(this.map.style.rasterFadeDuration),t.state=\"loaded\",e(null)}}var n=l(t.coord.url(this.tiles,null,this.scheme),this.url,this.tileSize);t.request=a.getImage(n,r.bind(this))},abortTile:function(t){t.request&&(t.request.abort(),delete t.request)},unloadTile:function(t){t.texture&&this.map.painter.saveTexture(t.texture)}})},{\"../util/ajax\":407,\"../util/evented\":416,\"../util/mapbox\":421,\"../util/util\":424,\"./load_tilejson\":344}],348:[function(t,e,r){\"use strict\";var n=t(\"../util/util\"),i={vector:t(\"../source/vector_tile_source\"),raster:t(\"../source/raster_tile_source\"),geojson:t(\"../source/geojson_source\"),video:t(\"../source/video_source\"),image:t(\"../source/image_source\")};r.create=function(t,e,r){if(e=new i[e.type](t,e,r),e.id!==t)throw new Error(\"Expected Source id to be \"+t+\" instead of \"+e.id);return n.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],e),e},r.getType=function(t){return i[t]},r.setType=function(t,e){i[t]=e}},{\"../source/geojson_source\":340,\"../source/image_source\":343,\"../source/raster_tile_source\":347,\"../source/vector_tile_source\":352,\"../source/video_source\":354,\"../util/util\":424}],349:[function(t,e,r){\"use strict\";function n(t,e,r){this.id=t,this.dispatcher=r;var n=this._source=o.create(t,e,r).on(\"load\",function(){this.map&&this._source.onAdd&&this._source.onAdd(this.map),this._sourceLoaded=!0,this.tileSize=n.tileSize,this.minzoom=n.minzoom,this.maxzoom=n.maxzoom,this.roundZoom=n.roundZoom,this.reparseOverscaled=n.reparseOverscaled,this.isTileClipped=n.isTileClipped,this.attribution=n.attribution,this.vectorLayerIds=n.vectorLayerIds,this.fire(\"load\")}.bind(this)).on(\"error\",function(t){this._sourceErrored=!0,this.fire(\"error\",t)}.bind(this)).on(\"change\",function(){this.reload(),this.transform&&this.update(this.transform,this.map&&this.map.style.rasterFadeDuration),this.fire(\"change\")}.bind(this));this._tiles={},this._cache=new c(0,this.unloadTile.bind(this)),this._isIdRenderable=this._isIdRenderable.bind(this)}function i(t,e,r){var n=r.zoomTo(Math.min(t.z,e));return{x:(n.column-(t.x+t.w*Math.pow(2,t.z)))*d,y:(n.row-t.y)*d}}function a(t,e){return t%32-e%32}var o=t(\"./source\"),s=t(\"./tile\"),l=t(\"../util/evented\"),u=t(\"./tile_coord\"),c=t(\"../util/lru_cache\"),h=t(\"../geo/coordinate\"),f=t(\"../util/util\"),d=t(\"../data/bucket\").EXTENT;e.exports=n,n.maxOverzooming=10,n.maxUnderzooming=3,n.prototype=f.inherit(l,{onAdd:function(t){this.map=t,this._source&&this._source.onAdd&&this._source.onAdd(t)},loaded:function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},getSource:function(){return this._source},loadTile:function(t,e){return this._source.loadTile(t,e)},unloadTile:function(t){if(this._source.unloadTile)return this._source.unloadTile(t)},abortTile:function(t){if(this._source.abortTile)return this._source.abortTile(t)},serialize:function(){return this._source.serialize()},prepare:function(){if(this._sourceLoaded&&this._source.prepare)return this._source.prepare()},getIds:function(){return Object.keys(this._tiles).map(Number).sort(a)},getRenderableIds:function(){return this.getIds().filter(this._isIdRenderable)},_isIdRenderable:function(t){return this._tiles[t].isRenderable()&&!this._coveredTiles[t]},reload:function(){this._cache.reset();for(var t in this._tiles){var e=this._tiles[t];\"loading\"!==e.state&&(e.state=\"reloading\"),this.loadTile(this._tiles[t],this._tileLoaded.bind(this,this._tiles[t]))}},_tileLoaded:function(t,e){if(e)return t.state=\"errored\",this.fire(\"tile.error\",{tile:t,error:e}),void this._source.fire(\"tile.error\",{tile:t,error:e});t.source=this,t.timeAdded=(new Date).getTime(),this.fire(\"tile.load\",{tile:t}),this._source.fire(\"tile.load\",{tile:t})},getTile:function(t){return this.getTileByID(t.id)},getTileByID:function(t){return this._tiles[t]},getZoom:function(t){return t.zoom+t.scaleZoom(t.tileSize/this.tileSize)},findLoadedChildren:function(t,e,r){var n=!1;for(var i in this._tiles){var a=this._tiles[i];if(!(r[i]||!a.isRenderable()||a.coord.z<=t.z||a.coord.z>e)){var o=Math.pow(2,Math.min(a.coord.z,this.maxzoom)-Math.min(t.z,this.maxzoom));if(Math.floor(a.coord.x/o)===t.x&&Math.floor(a.coord.y/o)===t.y)for(r[i]=!0,n=!0;a&&a.coord.z-1>t.z;){var s=a.coord.parent(this.maxzoom).id;a=this._tiles[s],a&&a.isRenderable()&&(delete r[i],r[s]=!0)}}}return n},findLoadedParent:function(t,e,r){for(var n=t.z-1;n>=e;n--){t=t.parent(this.maxzoom);var i=this._tiles[t.id];if(i&&i.isRenderable())return r[t.id]=!0,i;if(this._cache.has(t.id))return this.addTile(t),r[t.id]=!0,this._tiles[t.id]}},updateCacheSize:function(t){var e=Math.ceil(t.width/t.tileSize)+1,r=Math.ceil(t.height/t.tileSize)+1,n=e*r;this._cache.setMaxSize(Math.floor(5*n))},update:function(t,e){if(this._sourceLoaded){var r,i,a;this.updateCacheSize(t);var o=(this.roundZoom?Math.round:Math.floor)(this.getZoom(t)),s=Math.max(o-n.maxOverzooming,this.minzoom),l=Math.max(o+n.maxUnderzooming,this.minzoom),c={},h=(new Date).getTime();this._coveredTiles={};var d=this.used?t.coveringTiles(this._source):[];for(r=0;r<d.length;r++)i=d[r],a=this.addTile(i),c[i.id]=!0,a.isRenderable()||this.findLoadedChildren(i,l,c)||this.findLoadedParent(i,s,c);for(var p={},m=Object.keys(c),g=0;g<m.length;g++){var v=m[g];i=u.fromID(v),a=this._tiles[v],a&&a.timeAdded>h-(e||0)&&(this.findLoadedChildren(i,l,c)&&(c[v]=!0),this.findLoadedParent(i,s,p))}var y;for(y in p)c[y]||(this._coveredTiles[y]=!0);for(y in p)c[y]=!0;var b=f.keysDifference(this._tiles,c);for(r=0;r<b.length;r++)this.removeTile(+b[r]);this.transform=t}},addTile:function(t){var e=this._tiles[t.id];if(e)return e;var r=t.wrapped();if(e=this._tiles[r.id],e||(e=this._cache.get(r.id))&&this._redoPlacement&&this._redoPlacement(e),!e){var n=t.z,i=n>this.maxzoom?Math.pow(2,n-this.maxzoom):1;e=new s(r,this.tileSize*i,this.maxzoom),this.loadTile(e,this._tileLoaded.bind(this,e))}return e.uses++,this._tiles[t.id]=e,this.fire(\"tile.add\",{tile:e}),this._source.fire(\"tile.add\",{tile:e}),e},removeTile:function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this.fire(\"tile.remove\",{tile:e}),this._source.fire(\"tile.remove\",{tile:e}),e.uses>0||(e.isRenderable()?this._cache.add(e.coord.wrapped().id,e):(e.aborted=!0,this.abortTile(e),this.unloadTile(e))))},clearTiles:function(){for(var t in this._tiles)this.removeTile(t);this._cache.reset()},tilesIn:function(t){for(var e={},r=this.getIds(),n=1/0,a=1/0,o=-1/0,s=-1/0,l=t[0].zoom,c=0;c<t.length;c++){var f=t[c];n=Math.min(n,f.column),a=Math.min(a,f.row),o=Math.max(o,f.column),s=Math.max(s,f.row)}for(var p=0;p<r.length;p++){var m=this._tiles[r[p]],g=u.fromID(r[p]),v=[i(g,m.sourceMaxZoom,new h(n,a,l)),i(g,m.sourceMaxZoom,new h(o,s,l))];if(v[0].x<d&&v[0].y<d&&v[1].x>=0&&v[1].y>=0){for(var y=[],b=0;b<t.length;b++)y.push(i(g,m.sourceMaxZoom,t[b]));var x=e[m.coord.id];void 0===x&&(x=e[m.coord.id]={tile:m,coord:g,queryGeometry:[],scale:Math.pow(2,this.transform.zoom-m.coord.z)}),x.queryGeometry.push(y)}}var _=[];for(var w in e)_.push(e[w]);return _},redoPlacement:function(){for(var t=this.getIds(),e=0;e<t.length;e++){this.getTileByID(t[e]).redoPlacement(this)}},getVisibleCoordinates:function(){return this.getRenderableIds().map(u.fromID)}})},{\"../data/bucket\":311,\"../geo/coordinate\":320,\"../util/evented\":416,\"../util/lru_cache\":420,\"../util/util\":424,\"./source\":348,\"./tile\":350,\"./tile_coord\":351}],350:[function(t,e,r){\"use strict\";function n(t,e,r){this.coord=t,this.uid=a.uniqueId(),this.uses=0,this.tileSize=e,this.sourceMaxZoom=r,this.buckets={},this.state=\"loading\"}function i(t,e){if(e){for(var r={},n=0;n<t.length;n++){var i=e.getLayer(t[n].layerId);if(i){var s=o.create(a.extend({layer:i,childLayers:t[n].childLayerIds.map(e.getLayer.bind(e)).filter(function(t){return t})},t[n]));r[s.id]=s}}return r}}var a=t(\"../util/util\"),o=t(\"../data/bucket\"),s=t(\"../data/feature_index\"),l=t(\"vector-tile\"),u=t(\"pbf\"),c=t(\"../util/vectortile_to_geojson\"),h=t(\"feature-filter\"),f=t(\"../symbol/collision_tile\"),d=t(\"../symbol/collision_box\"),p=t(\"../symbol/symbol_instances\"),m=t(\"../symbol/symbol_quads\");e.exports=n,n.prototype={loadVectorData:function(t,e){this.state=\"loaded\",t&&(this.collisionBoxArray=new d(t.collisionBoxArray),this.collisionTile=new f(t.collisionTile,this.collisionBoxArray),this.symbolInstancesArray=new p(t.symbolInstancesArray),this.symbolQuadsArray=new m(t.symbolQuadsArray),this.featureIndex=new s(t.featureIndex,t.rawTileData,this.collisionTile),this.rawTileData=t.rawTileData,this.buckets=i(t.buckets,e))},reloadSymbolData:function(t,e,r){if(\"unloaded\"!==this.state){this.collisionTile=new f(t.collisionTile,this.collisionBoxArray),this.featureIndex.setCollisionTile(this.collisionTile);for(var n in this.buckets){var o=this.buckets[n];\"symbol\"===o.type&&(o.destroy(e.gl),delete this.buckets[n])}a.extend(this.buckets,i(t.buckets,r))}},unloadVectorData:function(t){for(var e in this.buckets){this.buckets[e].destroy(t.gl)}this.collisionBoxArray=null,this.symbolQuadsArray=null,this.symbolInstancesArray=null,this.collisionTile=null,this.featureIndex=null,this.rawTileData=null,this.buckets=null,this.state=\"unloaded\"},redoPlacement:function(t){function e(e,r){this.reloadSymbolData(r,t.map.painter,t.map.style),t.fire(\"tile.load\",{tile:this}),this.state=\"loaded\",this.redoWhenDone&&(this.redoPlacement(t),this.redoWhenDone=!1)}if(\"loaded\"!==this.state||\"reloading\"===this.state)return void(this.redoWhenDone=!0);this.state=\"reloading\",t.dispatcher.send(\"redo placement\",{uid:this.uid,source:t.id,angle:t.map.transform.angle,pitch:t.map.transform.pitch,showCollisionBoxes:t.map.showCollisionBoxes},e.bind(this),this.workerID)},getBucket:function(t){return this.buckets&&this.buckets[t.ref||t.id]},querySourceFeatures:function(t,e){if(this.rawTileData){this.vtLayers||(this.vtLayers=new l.VectorTile(new u(new Uint8Array(this.rawTileData))).layers);var r=this.vtLayers._geojsonTileLayer||this.vtLayers[e.sourceLayer];if(r)for(var n=h(e.filter),i={z:this.coord.z,x:this.coord.x,y:this.coord.y},a=0;a<r.length;a++){var o=r.feature(a);if(n(o)){var s=new c(o,this.coord.z,this.coord.x,this.coord.y);s.tile=i,t.push(s)}}}},isRenderable:function(){return\"loaded\"===this.state||\"reloading\"===this.state}}},{\"../data/bucket\":311,\"../data/feature_index\":318,\"../symbol/collision_box\":376,\"../symbol/collision_tile\":378,\"../symbol/symbol_instances\":387,\"../symbol/symbol_quads\":388,\"../util/util\":424,\"../util/vectortile_to_geojson\":425,\"feature-filter\":117,pbf:459,\"vector-tile\":530}],351:[function(t,e,r){\"use strict\";function n(t,e,r,n){l(!isNaN(t)&&t>=0&&t%1==0),l(!isNaN(e)&&e>=0&&e%1==0),l(!isNaN(r)&&r>=0&&r%1==0),isNaN(n)&&(n=0),this.z=+t,this.x=+e,this.y=+r,this.w=+n,(n*=2)<0&&(n=n*-1-1);var i=1<<this.z;this.id=32*(i*i*n+i*this.y+this.x)+this.z,this.posMatrix=null}function i(t,e,r){for(var n,i=\"\",a=t;a>0;a--)n=1<<a-1,i+=(e&n?1:0)+(r&n?2:0);return i}function a(t,e){if(t.row>e.row){var r=t;t=e,e=r}return{x0:t.column,y0:t.row,x1:e.column,y1:e.row,dx:e.column-t.column,dy:e.row-t.row}}function o(t,e,r,n,i){var a=Math.max(r,Math.floor(e.y0)),o=Math.min(n,Math.ceil(e.y1));if(t.x0===e.x0&&t.y0===e.y0?t.x0+e.dy/t.dy*t.dx<e.x1:t.x1-e.dy/t.dy*t.dx<e.x0){var s=t;t=e,e=s}for(var l=t.dx/t.dy,u=e.dx/e.dy,c=t.dx>0,h=e.dx<0,f=a;f<o;f++){var d=l*Math.max(0,Math.min(t.dy,f+c-t.y0))+t.x0,p=u*Math.max(0,Math.min(e.dy,f+h-e.y0))+e.x0;i(Math.floor(p),Math.ceil(d),f)}}function s(t,e,r,n,i,s){var l,u=a(t,e),c=a(e,r),h=a(r,t);u.dy>c.dy&&(l=u,u=c,c=l),u.dy>h.dy&&(l=u,u=h,h=l),c.dy>h.dy&&(l=c,c=h,h=l),u.dy&&o(h,u,n,i,s),c.dy&&o(h,c,n,i,s)}var l=t(\"assert\"),u=t(\"whoots-js\"),c=t(\"../geo/coordinate\");e.exports=n,n.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y},n.prototype.toCoordinate=function(t){var e=Math.min(this.z,t),r=Math.pow(2,e),n=this.y,i=this.x+r*this.w;return new c(i,n,e)},n.fromID=function(t){var e=t%32,r=1<<e,i=(t-e)/32,a=i%r,o=(i-a)/r%r,s=Math.floor(i/(r*r));return s%2!=0&&(s=s*-1-1),s/=2,new n(e,a,o,s)},n.prototype.url=function(t,e,r){var n=u.getTileBBox(this.x,this.y,this.z),a=i(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",Math.min(this.z,e||this.z)).replace(\"{x}\",this.x).replace(\"{y}\",\"tms\"===r?Math.pow(2,this.z)-this.y-1:this.y).replace(\"{quadkey}\",a).replace(\"{bbox-epsg-3857}\",n)},n.prototype.parent=function(t){return 0===this.z?null:this.z>t?new n(this.z-1,this.x,this.y,this.w):new n(this.z-1,Math.floor(this.x/2),Math.floor(this.y/2),this.w)},n.prototype.wrapped=function(){return new n(this.z,this.x,this.y,0)},n.prototype.children=function(t){if(this.z>=t)return[new n(this.z+1,this.x,this.y,this.w)];var e=this.z+1,r=2*this.x,i=2*this.y;return[new n(e,r,i,this.w),new n(e,r+1,i,this.w),new n(e,r,i+1,this.w),new n(e,r+1,i+1,this.w)]},n.cover=function(t,e,r){function i(t,e,i){var s,l,u;if(i>=0&&i<=a)for(s=t;s<e;s++)l=(s%a+a)%a,u=new n(r,l,i,Math.floor(s/a)),o[u.id]=u}var a=1<<t,o={};return s(e[0],e[1],e[2],0,a,i),s(e[2],e[3],e[0],0,a,i),Object.keys(o).map(function(t){return o[t]})}},{\"../geo/coordinate\":320,assert:40,\"whoots-js\":546}],352:[function(t,e,r){\"use strict\";function n(t,e,r){if(this.id=t,this.dispatcher=r,a.extend(this,a.pick(e,[\"url\",\"scheme\",\"tileSize\"])),this._options=a.extend({type:\"vector\"},e),512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");o(e,function(t,e){if(t)return void this.fire(\"error\",t);a.extend(this,e),this.fire(\"load\")}.bind(this))}var i=t(\"../util/evented\"),a=t(\"../util/util\"),o=t(\"./load_tilejson\"),s=t(\"../util/mapbox\").normalizeTileURL;e.exports=n,n.prototype=a.inherit(i,{minzoom:0,maxzoom:22,scheme:\"xyz\",tileSize:512,reparseOverscaled:!0,isTileClipped:!0,onAdd:function(t){this.map=t},serialize:function(){return a.extend({},this._options)},loadTile:function(t,e){function r(r,n){if(!t.aborted){if(r)return e(r);t.loadVectorData(n,this.map.style),t.redoWhenDone&&(t.redoWhenDone=!1,t.redoPlacement(this)),e(null),t.reloadCallback&&(this.loadTile(t,t.reloadCallback),t.reloadCallback=null)}}var n=t.coord.z>this.maxzoom?Math.pow(2,t.coord.z-this.maxzoom):1,i={url:s(t.coord.url(this.tiles,this.maxzoom,this.scheme),this.url),uid:t.uid,coord:t.coord,zoom:t.coord.z,tileSize:this.tileSize*n,source:this.id,overscaling:n,angle:this.map.transform.angle,pitch:this.map.transform.pitch,showCollisionBoxes:this.map.showCollisionBoxes};t.workerID?\"loading\"===t.state?t.reloadCallback=e:(i.rawTileData=t.rawTileData,this.dispatcher.send(\"reload tile\",i,r.bind(this),t.workerID)):t.workerID=this.dispatcher.send(\"load tile\",i,r.bind(this))},abortTile:function(t){this.dispatcher.send(\"abort tile\",{uid:t.uid,source:this.id},null,t.workerID)},unloadTile:function(t){t.unloadVectorData(this.map.painter),this.dispatcher.send(\"remove tile\",{uid:t.uid,source:this.id},null,t.workerID)}})},{\"../util/evented\":416,\"../util/mapbox\":421,\"../util/util\":424,\"./load_tilejson\":344}],353:[function(t,e,r){\"use strict\";function n(t,e,r){this.actor=t,this.styleLayers=e,r&&(this.loadVectorData=r),this.loading={},this.loaded={}}var i=t(\"../util/ajax\"),a=t(\"vector-tile\"),o=t(\"pbf\"),s=t(\"./worker_tile\");e.exports=n,n.prototype={loadTile:function(t,e){function r(t,r){return delete this.loading[n][i],t?e(t):r?(a.data=r.tile,a.parse(a.data,this.styleLayers.getLayerFamilies(),this.actor,r.rawTileData,e),this.loaded[n]=this.loaded[n]||{},void(this.loaded[n][i]=a)):e(null,null)}var n=t.source,i=t.uid;this.loading[n]||(this.loading[n]={});var a=this.loading[n][i]=new s(t);a.abort=this.loadVectorData(t,r.bind(this))},reloadTile:function(t,e){var r=this.loaded[t.source],n=t.uid;if(r&&r[n]){var i=r[n];i.parse(i.data,this.styleLayers.getLayerFamilies(),this.actor,t.rawTileData,e)}},abortTile:function(t){var e=this.loading[t.source],r=t.uid;e&&e[r]&&e[r].abort&&(e[r].abort(),delete e[r])},removeTile:function(t){var e=this.loaded[t.source],r=t.uid;e&&e[r]&&delete e[r]},loadVectorData:function(t,e){function r(t,r){if(t)return e(t);var n=new a.VectorTile(new o(new Uint8Array(r)));e(t,{tile:n,rawTileData:r})}var n=i.getArrayBuffer(t.url,r.bind(this));return function(){n.abort()}},redoPlacement:function(t,e){var r=this.loaded[t.source],n=this.loading[t.source],i=t.uid;if(r&&r[i]){var a=r[i],o=a.redoPlacement(t.angle,t.pitch,t.showCollisionBoxes);o.result&&e(null,o.result,o.transferables)}else n&&n[i]&&(n[i].angle=t.angle)}}},{\"../util/ajax\":407,\"./worker_tile\":356,pbf:459,\"vector-tile\":530}],354:[function(t,e,r){\"use strict\";function n(t,e){this.id=t,this.urls=e.urls,this.coordinates=e.coordinates,u.getVideo(e.urls,function(t,r){if(t)return this.fire(\"error\",{error:t});this.video=r,this.video.loop=!0;var n;this.video.addEventListener(\"playing\",function(){n=this.map.style.animationLoop.set(1/0),this.map._rerender()}.bind(this)),this.video.addEventListener(\"pause\",function(){this.map.style.animationLoop.cancel(n)}.bind(this)),this.map&&(this.video.play(),this.setCoordinates(e.coordinates)),this.fire(\"load\")}.bind(this))}var i=t(\"../util/util\"),a=t(\"./tile_coord\"),o=t(\"../geo/lng_lat\"),s=t(\"point-geometry\"),l=t(\"../util/evented\"),u=t(\"../util/ajax\"),c=t(\"../data/bucket\").EXTENT,h=t(\"../render/draw_raster\").RasterBoundsArray,f=t(\"../data/buffer\"),d=t(\"../render/vertex_array_object\");e.exports=n,n.prototype=i.inherit(l,{minzoom:0,maxzoom:22,tileSize:512,roundZoom:!0,getVideo:function(){return this.video},onAdd:function(t){this.map||(this.map=t,this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},setCoordinates:function(t){this.coordinates=t;var e=this.map,r=t.map(function(t){return e.transform.locationCoordinate(o.convert(t)).zoomTo(0)}),n=this.centerCoord=i.getCoordinatesCenter(r);return n.column=Math.round(n.column),n.row=Math.round(n.row),this.minzoom=this.maxzoom=n.zoom,this._coord=new a(n.zoom,n.column,n.row),this._tileCoords=r.map(function(t){var e=t.zoomTo(n.zoom);return new s(Math.round((e.column-n.column)*c),Math.round((e.row-n.row)*c))}),this.fire(\"change\"),this},_setTile:function(t){this._prepared=!1,this.tile=t;var e=new h;e.emplaceBack(this._tileCoords[0].x,this._tileCoords[0].y,0,0),e.emplaceBack(this._tileCoords[1].x,this._tileCoords[1].y,32767,0),e.emplaceBack(this._tileCoords[3].x,this._tileCoords[3].y,0,32767),e.emplaceBack(this._tileCoords[2].x,this._tileCoords[2].y,32767,32767),this.tile.buckets={},this.tile.boundsBuffer=new f(e.serialize(),h.serialize(),f.BufferType.VERTEX),this.tile.boundsVAO=new d,this.tile.state=\"loaded\"},prepare:function(){if(!(this.video.readyState<2)&&this.tile){var t=this.map.painter.gl;this._prepared?(t.bindTexture(t.TEXTURE_2D,this.tile.texture),t.texSubImage2D(t.TEXTURE_2D,0,0,0,t.RGBA,t.UNSIGNED_BYTE,this.video)):(this._prepared=!0,this.tile.texture=t.createTexture(),t.bindTexture(t.TEXTURE_2D,this.tile.texture),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.LINEAR),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.LINEAR),t.texImage2D(t.TEXTURE_2D,0,t.RGBA,t.RGBA,t.UNSIGNED_BYTE,this.video)),this._currentTime=this.video.currentTime}},loadTile:function(t,e){this._coord&&this._coord.toString()===t.coord.toString()?(this._setTile(t),e(null)):(t.state=\"errored\",e(null))},serialize:function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}}})},{\"../data/bucket\":311,\"../data/buffer\":316,\"../geo/lng_lat\":321,\"../render/draw_raster\":333,\"../render/vertex_array_object\":339,\"../util/ajax\":407,\"../util/evented\":416,\"../util/util\":424,\"./tile_coord\":351,\"point-geometry\":465}],355:[function(t,e,r){\"use strict\";function n(t){this.self=t,this.actor=new a(t,this);var e={getLayers:function(){return this.layers}.bind(this),getLayerFamilies:function(){return this.layerFamilies}.bind(this)};this.workerSources={vector:new l(this.actor,e),geojson:new u(this.actor,e)},this.self.registerWorkerSource=function(t,r){if(this.workerSources[t])throw new Error('Worker source with name \"'+t+'\" already registered.');this.workerSources[t]=new r(this.actor,e)}.bind(this)}function i(t){var e={};for(var r in t){var n=t[r],i=n.ref||n.id,a=t[i];a.layout&&\"none\"===a.layout.visibility||(e[i]=e[i]||[],r===i?e[i].unshift(n):e[i].push(n))}return e}var a=t(\"../util/actor\"),o=t(\"../style/style_layer\"),s=t(\"../util/util\"),l=t(\"./vector_tile_worker_source\"),u=t(\"./geojson_worker_source\");e.exports=function(t){return new n(t)},s.extend(n.prototype,{\"set layers\":function(t){function e(t){var e=o.create(t,t.ref&&r.layers[t.ref]);e.updatePaintTransitions({},{transition:!1}),r.layers[e.id]=e}this.layers={};for(var r=this,n=[],a=0;a<t.length;a++){var s=t[a];\"fill\"!==s.type&&\"line\"!==s.type&&\"circle\"!==s.type&&\"symbol\"!==s.type||(s.ref?n.push(a):e(s))}for(var l=0;l<n.length;l++)e(t[n[l]]);this.layerFamilies=i(this.layers)},\"update layers\":function(t){function e(t){var e=a.layers[t.ref];a.layers[t.id]?a.layers[t.id].set(t,e):a.layers[t.id]=o.create(t,e),a.layers[t.id].updatePaintTransitions({},{transition:!1})}var r,n,a=this;for(r in t)n=t[r],n.ref&&e(n);for(r in t)n=t[r],n.ref||e(n);this.layerFamilies=i(this.layers)},\"load tile\":function(t,e){var r=t.type||\"vector\";this.workerSources[r].loadTile(t,e)},\"reload tile\":function(t,e){var r=t.type||\"vector\";this.workerSources[r].reloadTile(t,e)},\"abort tile\":function(t){var e=t.type||\"vector\";this.workerSources[e].abortTile(t)},\"remove tile\":function(t){var e=t.type||\"vector\";this.workerSources[e].removeTile(t)},\"redo placement\":function(t,e){var r=t.type||\"vector\";this.workerSources[r].redoPlacement(t,e)},\"load worker source\":function(t,e){try{this.self.importScripts(t.url),e()}catch(t){e(t)}}})},{\"../style/style_layer\":363,\"../util/actor\":406,\"../util/util\":424,\"./geojson_worker_source\":341,\"./vector_tile_worker_source\":353}],356:[function(t,e,r){\"use strict\";function n(t){this.coord=t.coord,this.uid=t.uid,this.zoom=t.zoom,this.tileSize=t.tileSize,this.source=t.source,this.overscaling=t.overscaling,this.angle=t.angle,this.pitch=t.pitch,this.showCollisionBoxes=t.showCollisionBoxes}function i(t){return!t.isEmpty()}function a(t){return t.serialize()}function o(t){var e=[];for(var r in t)t[r].getTransferables(e);return e}function s(t){return t.id}var l=t(\"../data/feature_index\"),u=t(\"../symbol/collision_tile\"),c=t(\"../data/bucket\"),h=t(\"../symbol/collision_box\"),f=t(\"../util/dictionary_coder\"),d=t(\"../util/util\"),p=t(\"../symbol/symbol_instances\"),m=t(\"../symbol/symbol_quads\");e.exports=n,n.prototype.parse=function(t,e,r,n,g){function v(t,e){for(var r=0;r<t.length;r++){var n=t.feature(r);n.index=r;for(var i in e)e[i].filter(n)&&e[i].features.push(n)}}function y(t){if(t)return g(t);if(2===++N){for(var e=P.length-1;e>=0;e--)b(E,P[e]);x()}}function b(t,e){if(e.populateArrays(A,F,R),\"symbol\"!==e.type)for(var r=0;r<e.features.length;r++){var n=e.features[r]\n",
       ";T.insert(n,n.index,e.sourceLayerIndex,e.index)}e.features=null}function x(){E.status=\"done\",E.redoPlacementAfterDone&&(E.redoPlacement(E.angle,E.pitch,null),E.redoPlacementAfterDone=!1);var t=T.serialize(),e=A.serialize(),r=E.collisionBoxArray.serialize(),s=E.symbolInstancesArray.serialize(),l=E.symbolQuadsArray.serialize(),u=[n].concat(t.transferables).concat(e.transferables),c=I.filter(i);g(null,{buckets:c.map(a),featureIndex:t.data,collisionTile:e.data,collisionBoxArray:r,symbolInstancesArray:s,symbolQuadsArray:l,rawTileData:n},o(c).concat(u))}this.status=\"parsing\",this.data=t,this.collisionBoxArray=new h,this.symbolInstancesArray=new p,this.symbolQuadsArray=new m;var _,w,M,k,A=new u(this.angle,this.pitch,this.collisionBoxArray),T=new l(this.coord,this.overscaling,A,t.layers),S=new f(t.layers?Object.keys(t.layers).sort():[\"_geojsonTileLayer\"]),E=this,L={},C={},z=0;for(var D in e)w=e[D][0],w.source===this.source&&(w.ref||w.minzoom&&this.zoom<w.minzoom||w.maxzoom&&this.zoom>=w.maxzoom||w.layout&&\"none\"===w.layout.visibility||t.layers&&!t.layers[w.sourceLayer]||(k=c.create({layer:w,index:z++,childLayers:e[D],zoom:this.zoom,overscaling:this.overscaling,showCollisionBoxes:this.showCollisionBoxes,collisionBoxArray:this.collisionBoxArray,symbolQuadsArray:this.symbolQuadsArray,symbolInstancesArray:this.symbolInstancesArray,sourceLayerIndex:S.encode(w.sourceLayer||\"_geojsonTileLayer\")}),k.createFilter(),L[w.id]=k,t.layers&&(M=w.sourceLayer,C[M]=C[M]||{},C[M][w.id]=k)));if(t.layers)for(M in C)1===w.version&&d.warnOnce('Vector tile source \"'+this.source+'\" layer \"'+M+'\" does not use vector tile spec v2 and therefore may have some rendering errors.'),(w=t.layers[M])&&v(w,C[M]);else v(t,L);var I=[],P=this.symbolBuckets=[],O=[];T.bucketLayerIDs={};for(var j in L)k=L[j],0!==k.features.length&&(T.bucketLayerIDs[k.index]=k.childLayers.map(s),I.push(k),\"symbol\"===k.type?P.push(k):O.push(k));var R={},F={},N=0;if(P.length>0){for(_=P.length-1;_>=0;_--)P[_].updateIcons(R),P[_].updateFont(F);for(var B in F)F[B]=Object.keys(F[B]).map(Number);R=Object.keys(R),r.send(\"get glyphs\",{uid:this.uid,stacks:F},function(t,e){F=e,y(t)}),R.length?r.send(\"get icons\",{icons:R},function(t,e){R=e,y(t)}):y()}for(_=O.length-1;_>=0;_--)b(this,O[_]);if(0===P.length)return x()},n.prototype.redoPlacement=function(t,e,r){if(\"done\"!==this.status)return this.redoPlacementAfterDone=!0,this.angle=t,{};for(var n=new u(t,e,this.collisionBoxArray),s=this.symbolBuckets,l=s.length-1;l>=0;l--)s[l].placeFeatures(n,r);var c=n.serialize(),h=s.filter(i);return{result:{buckets:h.map(a),collisionTile:c.data},transferables:o(h).concat(c.transferables)}}},{\"../data/bucket\":311,\"../data/feature_index\":318,\"../symbol/collision_box\":376,\"../symbol/collision_tile\":378,\"../symbol/symbol_instances\":387,\"../symbol/symbol_quads\":388,\"../util/dictionary_coder\":414,\"../util/util\":424}],357:[function(t,e,r){\"use strict\";function n(){this.n=0,this.times=[]}e.exports=n,n.prototype.stopped=function(){return this.times=this.times.filter(function(t){return t.time>=(new Date).getTime()}),!this.times.length},n.prototype.set=function(t){return this.times.push({id:this.n,time:t+(new Date).getTime()}),this.n++},n.prototype.cancel=function(t){this.times=this.times.filter(function(e){return e.id!==t})}},{}],358:[function(t,e,r){\"use strict\";function n(t){this.base=t,this.retina=s.devicePixelRatio>1;var e=this.retina?\"@2x\":\"\";o.getJSON(l(t,e,\".json\"),function(t,e){if(t)return void this.fire(\"error\",{error:t});this.data=e,this.img&&this.fire(\"load\")}.bind(this)),o.getImage(l(t,e,\".png\"),function(t,e){if(t)return void this.fire(\"error\",{error:t});for(var r=e.getData(),n=e.data=new Uint8Array(r.length),i=0;i<r.length;i+=4){var a=r[i+3]/255;n[i+0]=r[i+0]*a,n[i+1]=r[i+1]*a,n[i+2]=r[i+2]*a,n[i+3]=r[i+3]}this.img=e,this.data&&this.fire(\"load\")}.bind(this))}function i(){}var a=t(\"../util/evented\"),o=t(\"../util/ajax\"),s=t(\"../util/browser\"),l=t(\"../util/mapbox\").normalizeSpriteURL;e.exports=n,n.prototype=Object.create(a),n.prototype.toJSON=function(){return this.base},n.prototype.loaded=function(){return!(!this.data||!this.img)},n.prototype.resize=function(){if(s.devicePixelRatio>1!==this.retina){var t=new n(this.base);t.on(\"load\",function(){this.img=t.img,this.data=t.data,this.retina=t.retina}.bind(this))}},i.prototype={x:0,y:0,width:0,height:0,pixelRatio:1,sdf:!1},n.prototype.getSpritePosition=function(t){if(!this.loaded())return new i;var e=this.data&&this.data[t];return e&&this.img?e:new i}},{\"../util/ajax\":407,\"../util/browser\":408,\"../util/evented\":416,\"../util/mapbox\":421}],359:[function(t,e,r){\"use strict\";var n=t(\"csscolorparser\").parseCSSColor,i=t(\"../util/util\"),a=t(\"./style_function\"),o={};e.exports=function t(e){if(a.isFunctionDefinition(e))return i.extend({},e,{stops:e.stops.map(function(e){return[e[0],t(e[1])]})});if(\"string\"==typeof e){if(!o[e]){var r=n(e);if(!r)throw new Error(\"Invalid color \"+e);o[e]=[r[0]/255*r[3],r[1]/255*r[3],r[2]/255*r[3],r[3]]}return o[e]}throw new Error(\"Invalid color \"+e)}},{\"../util/util\":424,\"./style_function\":362,csscolorparser:101}],360:[function(t,e,r){\"use strict\";function n(t,e,r){this.animationLoop=e||new m,this.dispatcher=new p(r||1,this),this.spriteAtlas=new l(1024,1024),this.lineAtlas=new u(256,512),this._layers={},this._order=[],this._groups=[],this.sources={},this.zoomHistory={},c.bindAll([\"_forwardSourceEvent\",\"_forwardTileEvent\",\"_forwardLayerEvent\",\"_redoPlacement\"],this),this._resetUpdates();var n=function(t,e){if(t)return void this.fire(\"error\",{error:t});if(!g.emitErrors(this,g(e))){this._loaded=!0,this.stylesheet=e,this.updateClasses();var r=e.sources;for(var n in r)this.addSource(n,r[n]);e.sprite&&(this.sprite=new o(e.sprite),this.sprite.on(\"load\",this.fire.bind(this,\"change\"))),this.glyphSource=new s(e.glyphs),this._resolve(),this.fire(\"load\")}}.bind(this);\"string\"==typeof t?h.getJSON(f(t),n):d.frame(n.bind(this,null,t)),this.on(\"source.load\",function(t){var e=t.source;if(e&&e.vectorLayerIds)for(var r in this._layers){var n=this._layers[r];n.source===e.id&&this._validateLayer(n)}})}var i=t(\"../util/evented\"),a=t(\"./style_layer\"),o=t(\"./image_sprite\"),s=t(\"../symbol/glyph_source\"),l=t(\"../symbol/sprite_atlas\"),u=t(\"../render/line_atlas\"),c=t(\"../util/util\"),h=t(\"../util/ajax\"),f=t(\"../util/mapbox\").normalizeStyleURL,d=t(\"../util/browser\"),p=t(\"../util/dispatcher\"),m=t(\"./animation_loop\"),g=t(\"./validate_style\"),v=t(\"../source/source\"),y=t(\"../source/query_features\"),b=t(\"../source/source_cache\"),x=t(\"./style_spec\"),_=t(\"./style_function\");e.exports=n,n.prototype=c.inherit(i,{_loaded:!1,_validateLayer:function(t){var e=this.sources[t.source];t.sourceLayer&&e&&e.vectorLayerIds&&e.vectorLayerIds.indexOf(t.sourceLayer)===-1&&this.fire(\"error\",{error:new Error('Source layer \"'+t.sourceLayer+'\" does not exist on source \"'+e.id+'\" as specified by style layer \"'+t.id+'\"')})},loaded:function(){if(!this._loaded)return!1;if(Object.keys(this._updates.sources).length)return!1;for(var t in this.sources)if(!this.sources[t].loaded())return!1;return!(this.sprite&&!this.sprite.loaded())},_resolve:function(){var t,e;this._layers={},this._order=this.stylesheet.layers.map(function(t){return t.id});for(var r=0;r<this.stylesheet.layers.length;r++)e=this.stylesheet.layers[r],e.ref||(t=a.create(e),this._layers[t.id]=t,t.on(\"error\",this._forwardLayerEvent));for(var n=0;n<this.stylesheet.layers.length;n++)if(e=this.stylesheet.layers[n],e.ref){var i=this.getLayer(e.ref);t=a.create(e,i),this._layers[t.id]=t,t.on(\"error\",this._forwardLayerEvent)}this._groupLayers(),this._updateWorkerLayers()},_groupLayers:function(){var t;this._groups=[];for(var e=0;e<this._order.length;++e){var r=this._layers[this._order[e]];t&&r.source===t.source||(t=[],t.source=r.source,this._groups.push(t)),t.push(r)}},_updateWorkerLayers:function(t){this.dispatcher.broadcast(t?\"update layers\":\"set layers\",this._serializeLayers(t))},_serializeLayers:function(t){t=t||this._order;for(var e=[],r={includeRefProperties:!0},n=0;n<t.length;n++)e.push(this._layers[t[n]].serialize(r));return e},_applyClasses:function(t,e){if(this._loaded){t=t||[],e=e||{transition:!0};var r=this.stylesheet.transition||{},n=this._updates.allPaintProps?this._layers:this._updates.paintProps;for(var i in n){var a=this._layers[i],o=this._updates.paintProps[i];if(this._updates.allPaintProps||o.all)a.updatePaintTransitions(t,e,r,this.animationLoop);else for(var s in o)this._layers[i].updatePaintTransition(s,t,e,r,this.animationLoop)}}},_recalculate:function(t){for(var e in this.sources)this.sources[e].used=!1;this._updateZoomHistory(t),this.rasterFadeDuration=300;for(var r in this._layers){var n=this._layers[r];n.recalculate(t,this.zoomHistory),!n.isHidden(t)&&n.source&&(this.sources[n.source].used=!0)}Math.floor(this.z)!==Math.floor(t)&&this.animationLoop.set(300),this.z=t,this.fire(\"zoom\")},_updateZoomHistory:function(t){var e=this.zoomHistory;void 0===e.lastIntegerZoom&&(e.lastIntegerZoom=Math.floor(t),e.lastIntegerZoomTime=0,e.lastZoom=t),Math.floor(e.lastZoom)<Math.floor(t)?(e.lastIntegerZoom=Math.floor(t),e.lastIntegerZoomTime=Date.now()):Math.floor(e.lastZoom)>Math.floor(t)&&(e.lastIntegerZoom=Math.floor(t+1),e.lastIntegerZoomTime=Date.now()),e.lastZoom=t},_checkLoaded:function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},update:function(t,e){if(!this._updates.changed)return this;if(this._updates.allLayers)this._groupLayers(),this._updateWorkerLayers();else{var r=Object.keys(this._updates.layers);r.length&&this._updateWorkerLayers(r)}var n,i=Object.keys(this._updates.sources);for(n=0;n<i.length;n++)this._reloadSource(i[n]);for(n=0;n<this._updates.events.length;n++){var a=this._updates.events[n];this.fire(a[0],a[1])}return this._applyClasses(t,e),this._updates.changed&&this.fire(\"change\"),this._resetUpdates(),this},_resetUpdates:function(){this._updates={events:[],layers:{},sources:{},paintProps:{}}},addSource:function(t,e){if(this._checkLoaded(),void 0!==this.sources[t])throw new Error(\"There is already a source with this ID\");if(!e.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(e)+\".\");return[\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(e.type)>=0&&this._handleErrors(g.source,\"sources.\"+t,e)?this:(e=new b(t,e,this.dispatcher),this.sources[t]=e,e.style=this,e.on(\"load\",this._forwardSourceEvent).on(\"error\",this._forwardSourceEvent).on(\"change\",this._forwardSourceEvent).on(\"tile.add\",this._forwardTileEvent).on(\"tile.load\",this._forwardTileEvent).on(\"tile.error\",this._forwardTileEvent).on(\"tile.remove\",this._forwardTileEvent).on(\"tile.stats\",this._forwardTileEvent),this._updates.events.push([\"source.add\",{source:e}]),this._updates.changed=!0,this)},removeSource:function(t){if(this._checkLoaded(),void 0===this.sources[t])throw new Error(\"There is no source with this ID\");var e=this.sources[t];return delete this.sources[t],delete this._updates.sources[t],e.off(\"load\",this._forwardSourceEvent).off(\"error\",this._forwardSourceEvent).off(\"change\",this._forwardSourceEvent).off(\"tile.add\",this._forwardTileEvent).off(\"tile.load\",this._forwardTileEvent).off(\"tile.error\",this._forwardTileEvent).off(\"tile.remove\",this._forwardTileEvent).off(\"tile.stats\",this._forwardTileEvent),this._updates.events.push([\"source.remove\",{source:e}]),this._updates.changed=!0,this},getSource:function(t){return this.sources[t]&&this.sources[t].getSource()},addLayer:function(t,e){if(this._checkLoaded(),!(t instanceof a)){if(this._handleErrors(g.layer,\"layers.\"+t.id,t,!1,{arrayIndex:-1}))return this;var r=t.ref&&this.getLayer(t.ref);t=a.create(t,r)}return this._validateLayer(t),t.on(\"error\",this._forwardLayerEvent),this._layers[t.id]=t,this._order.splice(e?this._order.indexOf(e):1/0,0,t.id),this._updates.allLayers=!0,t.source&&(this._updates.sources[t.source]=!0),this._updates.events.push([\"layer.add\",{layer:t}]),this.updateClasses(t.id)},removeLayer:function(t){this._checkLoaded();var e=this._layers[t];if(void 0===e)throw new Error(\"There is no layer with this ID\");for(var r in this._layers)this._layers[r].ref===t&&this.removeLayer(r);return e.off(\"error\",this._forwardLayerEvent),delete this._layers[t],delete this._updates.layers[t],delete this._updates.paintProps[t],this._order.splice(this._order.indexOf(t),1),this._updates.allLayers=!0,this._updates.events.push([\"layer.remove\",{layer:e}]),this._updates.changed=!0,this},getLayer:function(t){return this._layers[t]},getReferentLayer:function(t){var e=this.getLayer(t);return e.ref&&(e=this.getLayer(e.ref)),e},setLayerZoomRange:function(t,e,r){this._checkLoaded();var n=this.getReferentLayer(t);return n.minzoom===e&&n.maxzoom===r?this:(null!=e&&(n.minzoom=e),null!=r&&(n.maxzoom=r),this._updateLayer(n))},setFilter:function(t,e){this._checkLoaded();var r=this.getReferentLayer(t);return null!==e&&this._handleErrors(g.filter,\"layers.\"+r.id+\".filter\",e)?this:c.deepEqual(r.filter,e)?this:(r.filter=c.clone(e),this._updateLayer(r))},getFilter:function(t){return this.getReferentLayer(t).filter},setLayoutProperty:function(t,e,r){this._checkLoaded();var n=this.getReferentLayer(t);return c.deepEqual(n.getLayoutProperty(e),r)?this:(n.setLayoutProperty(e,r),this._updateLayer(n))},getLayoutProperty:function(t,e){return this.getReferentLayer(t).getLayoutProperty(e)},setPaintProperty:function(t,e,r,n){this._checkLoaded();var i=this.getLayer(t);if(c.deepEqual(i.getPaintProperty(e,n),r))return this;var a=i.isPaintValueFeatureConstant(e);return i.setPaintProperty(e,r,n),!(r&&_.isFunctionDefinition(r)&&\"$zoom\"!==r.property&&void 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a=t(\"./style_function\"),o=t(\"./parse_color\"),s=t(\"../util/util\");e.exports=n},{\"../util/util\":424,\"./parse_color\":359,\"./style_function\":362}],362:[function(t,e,r){\"use strict\";var n=t(\"mapbox-gl-function\");r.interpolated=function(t){var e=n.interpolated(t),r=function(t,r){return e(t&&t.zoom,r||{})};return r.isFeatureConstant=e.isFeatureConstant,r.isZoomConstant=e.isZoomConstant,r},r[\"piecewise-constant\"]=function(t){var e=n[\"piecewise-constant\"](t),r=function(t,r){return e(t&&t.zoom,r||{})};return r.isFeatureConstant=e.isFeatureConstant,r.isZoomConstant=e.isZoomConstant,r},r.isFunctionDefinition=n.isFunctionDefinition},{\"mapbox-gl-function\":284}],363:[function(t,e,r){\"use strict\";function n(t,e){this.set(t,e)}function i(t){return t.value}var a=t(\"../util/util\"),o=t(\"./style_transition\"),s=t(\"./style_declaration\"),l=t(\"./style_spec\"),u=t(\"./validate_style\"),c=t(\"./parse_color\"),h=t(\"../util/evented\");e.exports=n;n.create=function(e,r){return 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n=\"layers.\"+this.id+(r?'[\"paint.'+r+'\"].':\".paint.\")+t;if(a.endsWith(t,\"-transition\"))if(this._paintTransitionOptions[r||\"\"]||(this._paintTransitionOptions[r||\"\"]={}),null===e||void 0===e)delete this._paintTransitionOptions[r||\"\"][t];else{if(this._handleErrors(u.paintProperty,n,t,e))return;this._paintTransitionOptions[r||\"\"][t]=e}else if(this._paintDeclarations[r||\"\"]||(this._paintDeclarations[r||\"\"]={}),null===e||void 0===e)delete this._paintDeclarations[r||\"\"][t];else{if(this._handleErrors(u.paintProperty,n,t,e))return;this._paintDeclarations[r||\"\"][t]=new s(this._paintSpecifications[t],e)}},getPaintProperty:function(t,e){return e=e||\"\",a.endsWith(t,\"-transition\")?this._paintTransitionOptions[e]&&this._paintTransitionOptions[e][t]:this._paintDeclarations[e]&&this._paintDeclarations[e][t]&&this._paintDeclarations[e][t].value},getPaintValue:function(t,e,r){var n=this._paintSpecifications[t],i=this._paintTransitions[t];return 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0===this.getPaintProperty(\"fill-outline-color\")?a.prototype.getPaintInterpolationT.call(this,\"fill-color\",e):a.prototype.getPaintInterpolationT.call(this,t,e)},isPaintValueFeatureConstant:function(t){return\"fill-outline-color\"===t&&void 0===this.getPaintProperty(\"fill-outline-color\")?a.prototype.isPaintValueFeatureConstant.call(this,\"fill-color\"):a.prototype.isPaintValueFeatureConstant.call(this,t)},isPaintValueZoomConstant:function(t){return\"fill-outline-color\"===t&&void 0===this.getPaintProperty(\"fill-outline-color\")?a.prototype.isPaintValueZoomConstant.call(this,\"fill-color\"):a.prototype.isPaintValueZoomConstant.call(this,t)}}),e.exports=n},{\"../../util/util\":424,\"../style_layer\":363}],367:[function(t,e,r){\"use strict\";function n(){a.apply(this,arguments)}var i=t(\"../../util/util\"),a=t(\"../style_layer\");e.exports=n,n.prototype=i.inherit(a,{getPaintValue:function(t,e,r){var n=a.prototype.getPaintValue.apply(this,arguments);if(n&&\"line-dasharray\"===t){var i=Math.floor(e.zoom);this._flooredZoom!==i&&(this._flooredZoom=i,this._flooredLineWidth=this.getPaintValue(\"line-width\",e,r)),n.fromScale*=this._flooredLineWidth,n.toScale*=this._flooredLineWidth}return n}})},{\"../../util/util\":424,\"../style_layer\":363}],368:[function(t,e,r){\"use strict\";function n(){a.apply(this,arguments)}var i=t(\"../../util/util\"),a=t(\"../style_layer\");e.exports=n,n.prototype=i.inherit(a,{})},{\"../../util/util\":424,\"../style_layer\":363}],369:[function(t,e,r){\"use strict\";function n(){a.apply(this,arguments)}var i=t(\"../../util/util\"),a=t(\"../style_layer\");e.exports=n,n.prototype=i.inherit(a,{isHidden:function(){if(a.prototype.isHidden.apply(this,arguments))return!0;var t=0===this.paint[\"text-opacity\"]||!this.layout[\"text-field\"],e=0===this.paint[\"icon-opacity\"]||!this.layout[\"icon-image\"];return!(!t||!e)},getLayoutValue:function(t,e,r){return(\"text-rotation-alignment\"!==t||\"line\"!==this.getLayoutValue(\"symbol-placement\",e,r)||this.getLayoutProperty(\"text-rotation-alignment\"))&&(\"icon-rotation-alignment\"!==t||\"line\"!==this.getLayoutValue(\"symbol-placement\",e,r)||this.getLayoutProperty(\"icon-rotation-alignment\"))?\"text-pitch-alignment\"!==t||this.getLayoutProperty(\"text-pitch-alignment\")?a.prototype.getLayoutValue.apply(this,arguments):this.getLayoutValue(\"text-rotation-alignment\"):\"map\"}})},{\"../../util/util\":424,\"../style_layer\":363}],370:[function(t,e,r){\"use strict\";e.exports=t(\"mapbox-gl-style-spec/reference/latest.min\")},{\"mapbox-gl-style-spec/reference/latest.min\":307}],371:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.declaration=e,this.startTime=this.endTime=(new 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r}},{\"../util/interpolate\":418,\"../util/util\":424}],372:[function(t,e,r){\"use strict\";e.exports=t(\"mapbox-gl-style-spec/lib/validate_style.min\"),e.exports.emitErrors=function(t,e){if(e&&e.length){for(var r=0;r<e.length;r++)t.fire(\"error\",{error:new Error(e[r].message)});return!0}return!1},e.exports.throwErrors=function(t,e){if(e)for(var r=0;r<e.length;r++)throw new Error(e[r].message)}},{\"mapbox-gl-style-spec/lib/validate_style.min\":306}],373:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.x=t,this.y=e,this.angle=r,void 0!==n&&(this.segment=n)}var i=t(\"point-geometry\");e.exports=n,n.prototype=Object.create(i.prototype),n.prototype.clone=function(){return new n(this.x,this.y,this.angle,this.segment)}},{\"point-geometry\":465}],374:[function(t,e,r){\"use strict\";function n(t,e,r,n,i){if(void 0===e.segment)return!0;for(var a=e,o=e.segment+1,s=0;s>-r/2;){if(--o<0)return!1;s-=t[o].dist(a),a=t[o]}s+=t[o].dist(t[o+1]),o++;for(var l=[],u=0;s<r/2;){var c=t[o-1],h=t[o],f=t[o+1];if(!f)return!1;var d=c.angleTo(h)-h.angleTo(f);for(d=Math.abs((d+3*Math.PI)%(2*Math.PI)-Math.PI),l.push({distance:s,angleDelta:d}),u+=d;s-l[0].distance>n;)u-=l.shift().angleDelta;if(u>i)return!1;o++,s+=h.dist(f)}return!0}e.exports=n},{}],375:[function(t,e,r){\"use strict\";function n(t,e,r,n,a){for(var o=[],s=0;s<t.length;s++)for(var l,u=t[s],c=0;c<u.length-1;c++){var h=u[c],f=u[c+1];h.x<e&&f.x<e||(h.x<e?h=new i(e,h.y+(f.y-h.y)*((e-h.x)/(f.x-h.x)))._round():f.x<e&&(f=new i(e,h.y+(f.y-h.y)*((e-h.x)/(f.x-h.x)))._round()),h.y<r&&f.y<r||(h.y<r?h=new i(h.x+(f.x-h.x)*((r-h.y)/(f.y-h.y)),r)._round():f.y<r&&(f=new i(h.x+(f.x-h.x)*((r-h.y)/(f.y-h.y)),r)._round()),h.x>=n&&f.x>=n||(h.x>=n?h=new i(n,h.y+(f.y-h.y)*((n-h.x)/(f.x-h.x)))._round():f.x>=n&&(f=new i(n,h.y+(f.y-h.y)*((n-h.x)/(f.x-h.x)))._round()),h.y>=a&&f.y>=a||(h.y>=a?h=new i(h.x+(f.x-h.x)*((a-h.y)/(f.y-h.y)),a)._round():f.y>=a&&(f=new i(h.x+(f.x-h.x)*((a-h.y)/(f.y-h.y)),a)._round()),l&&h.equals(l[l.length-1])||(l=[h],o.push(l)),l.push(f)))))}return o}var i=t(\"point-geometry\");e.exports=n},{\"point-geometry\":465}],376:[function(t,e,r){\n",
       "\"use strict\";var n=t(\"../util/struct_array\"),i=t(\"../util/util\"),a=t(\"point-geometry\"),o=e.exports=new n({members:[{type:\"Int16\",name:\"anchorPointX\"},{type:\"Int16\",name:\"anchorPointY\"},{type:\"Int16\",name:\"x1\"},{type:\"Int16\",name:\"y1\"},{type:\"Int16\",name:\"x2\"},{type:\"Int16\",name:\"y2\"},{type:\"Float32\",name:\"maxScale\"},{type:\"Uint32\",name:\"featureIndex\"},{type:\"Uint16\",name:\"sourceLayerIndex\"},{type:\"Uint16\",name:\"bucketIndex\"},{type:\"Int16\",name:\"bbox0\"},{type:\"Int16\",name:\"bbox1\"},{type:\"Int16\",name:\"bbox2\"},{type:\"Int16\",name:\"bbox3\"},{type:\"Float32\",name:\"placementScale\"}]});i.extendAll(o.prototype.StructType.prototype,{get anchorPoint(){return new a(this.anchorPointX,this.anchorPointY)}})},{\"../util/struct_array\":422,\"../util/util\":424,\"point-geometry\":465}],377:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s,l,u,c){var h=o.top*s-l,f=o.bottom*s+l,d=o.left*s-l,p=o.right*s+l;if(this.boxStartIndex=t.length,u){var m=f-h,g=p-d;if(m>0)if(m=Math.max(10*s,m),c){var v=e[r.segment+1].sub(e[r.segment])._unit()._mult(g),y=[r.sub(v),r.add(v)];this._addLineCollisionBoxes(t,y,r,0,g,m,n,i,a)}else this._addLineCollisionBoxes(t,e,r,r.segment,g,m,n,i,a)}else t.emplaceBack(r.x,r.y,d,h,p,f,1/0,n,i,a,0,0,0,0,0);this.boxEndIndex=t.length}e.exports=n,n.prototype._addLineCollisionBoxes=function(t,e,r,n,i,a,o,s,l){var u=a/2,c=Math.floor(i/u),h=-a/2,f=this.boxes,d=r,p=n+1,m=h;do{if(--p<0)return f;m-=e[p].dist(d),d=e[p]}while(m>-i/2);for(var g=e[p].dist(e[p+1]),v=0;v<c;v++){for(var y=-i/2+v*u;m+g<y;){if(m+=g,++p+1>=e.length)return f;g=e[p].dist(e[p+1])}var b=y-m,x=e[p],_=e[p+1],w=_.sub(x)._unit()._mult(b)._add(x)._round(),M=Math.max(Math.abs(y-h)-u/2,0),k=i/2/M;t.emplaceBack(w.x,w.y,-a/2,-a/2,a/2,a/2,k,o,s,l,0,0,0,0,0)}return f}},{}],378:[function(t,e,r){\"use strict\";function n(t,e,r){if(\"object\"==typeof t){var n=t;r=e,t=n.angle,e=n.pitch,this.grid=new o(n.grid),this.ignoredGrid=new o(n.ignoredGrid)}else this.grid=new o(a,12,6),this.ignoredGrid=new o(a,12,0);this.angle=t,this.pitch=e;var i=Math.sin(t),s=Math.cos(t);if(this.rotationMatrix=[s,-i,i,s],this.reverseRotationMatrix=[s,i,-i,s],this.yStretch=1/Math.cos(e/180*Math.PI),this.yStretch=Math.pow(this.yStretch,1.3),this.collisionBoxArray=r,0===r.length){r.emplaceBack();r.emplaceBack(0,0,0,-32767,0,32767,32767,0,0,0,0,0,0,0,0,0),r.emplaceBack(a,0,0,-32767,0,32767,32767,0,0,0,0,0,0,0,0,0),r.emplaceBack(0,0,-32767,0,32767,0,32767,0,0,0,0,0,0,0,0,0),r.emplaceBack(0,a,-32767,0,32767,0,32767,0,0,0,0,0,0,0,0,0)}this.tempCollisionBox=r.get(0),this.edges=[r.get(1),r.get(2),r.get(3),r.get(4)]}var i=t(\"point-geometry\"),a=t(\"../data/bucket\").EXTENT,o=t(\"grid-index\");e.exports=n,n.prototype.serialize=function(){var t={angle:this.angle,pitch:this.pitch,grid:this.grid.toArrayBuffer(),ignoredGrid:this.ignoredGrid.toArrayBuffer()};return{data:t,transferables:[t.grid,t.ignoredGrid]}},n.prototype.minScale=.25,n.prototype.maxScale=2,n.prototype.placeCollisionFeature=function(t,e,r){for(var n=this.collisionBoxArray,a=this.minScale,o=this.rotationMatrix,s=this.yStretch,l=t.boxStartIndex;l<t.boxEndIndex;l++){var u=n.get(l),c=u.anchorPoint._matMult(o),h=c.x,f=c.y,d=h+u.x1,p=f+u.y1*s,m=h+u.x2,g=f+u.y2*s;if(u.bbox0=d,u.bbox1=p,u.bbox2=m,u.bbox3=g,!e)for(var v=this.grid.query(d,p,m,g),y=0;y<v.length;y++){var b=n.get(v[y]),x=b.anchorPoint._matMult(o);if((a=this.getPlacementScale(a,c,u,x,b))>=this.maxScale)return a}if(r){var _;if(this.angle){var w=this.reverseRotationMatrix,M=new i(u.x1,u.y1).matMult(w),k=new i(u.x2,u.y1).matMult(w),A=new i(u.x1,u.y2).matMult(w),T=new i(u.x2,u.y2).matMult(w);_=this.tempCollisionBox,_.anchorPointX=u.anchorPoint.x,_.anchorPointY=u.anchorPoint.y,_.x1=Math.min(M.x,k.x,A.x,T.x),_.y1=Math.min(M.y,k.x,A.x,T.x),_.x2=Math.max(M.x,k.x,A.x,T.x),_.y2=Math.max(M.y,k.x,A.x,T.x),_.maxScale=u.maxScale}else _=u;for(var S=0;S<this.edges.length;S++){var E=this.edges[S];if((a=this.getPlacementScale(a,u.anchorPoint,_,E.anchorPoint,E))>=this.maxScale)return a}}}return a},n.prototype.queryRenderedSymbols=function(t,e,r,n,a){var o={},s=[],l=this.collisionBoxArray,u=this.rotationMatrix,c=new i(t,e)._matMult(u),h=this.tempCollisionBox;h.anchorX=c.x,h.anchorY=c.y,h.x1=0,h.y1=0,h.x2=r-t,h.y2=n-e,h.maxScale=a,a=h.maxScale;for(var f=[c.x+h.x1/a,c.y+h.y1/a*this.yStretch,c.x+h.x2/a,c.y+h.y2/a*this.yStretch],d=this.grid.query(f[0],f[1],f[2],f[3]),p=this.ignoredGrid.query(f[0],f[1],f[2],f[3]),m=0;m<p.length;m++)d.push(p[m]);for(var g=0;g<d.length;g++){var v=l.get(d[g]),y=v.sourceLayerIndex,b=v.featureIndex;if(void 0===o[y]&&(o[y]={}),!o[y][b]){var x=v.anchorPoint.matMult(u);this.getPlacementScale(this.minScale,c,h,x,v)>=a&&(o[y][b]=!0,s.push(d[g]))}}return s},n.prototype.getPlacementScale=function(t,e,r,n,i){var a=e.x-n.x,o=e.y-n.y,s=(i.x1-r.x2)/a,l=(i.x2-r.x1)/a,u=(i.y1-r.y2)*this.yStretch/o,c=(i.y2-r.y1)*this.yStretch/o;(isNaN(s)||isNaN(l))&&(s=l=1),(isNaN(u)||isNaN(c))&&(u=c=1);var h=Math.min(Math.max(s,l),Math.max(u,c)),f=i.maxScale,d=r.maxScale;return h>f&&(h=f),h>d&&(h=d),h>t&&h>=i.placementScale&&(t=h),t},n.prototype.insertCollisionFeature=function(t,e,r){for(var n=r?this.ignoredGrid:this.grid,i=this.collisionBoxArray,a=t.boxStartIndex;a<t.boxEndIndex;a++){var o=i.get(a);o.placementScale=e,e<this.maxScale&&n.insert(a,o.bbox0,o.bbox1,o.bbox2,o.bbox3)}}},{\"../data/bucket\":311,\"grid-index\":271,\"point-geometry\":465}],379:[function(t,e,r){\"use strict\";function n(t,e,r,n,a,o,s,l,u){var c=n?.6*o*s:0,h=Math.max(n?n.right-n.left:0,a?a.right-a.left:0),f=0===t[0].x||t[0].x===u||0===t[0].y||t[0].y===u;e-h*s<e/4&&(e=h*s+e/4);var d=2*o;return i(t,f?e/2*l%e:(h/2+d)*s*l%e,e,c,r,h*s,f,!1,u)}function i(t,e,r,n,l,u,c,h,f){for(var d=u/2,p=0,m=0;m<t.length-1;m++)p+=t[m].dist(t[m+1]);for(var g=0,v=e-r,y=[],b=0;b<t.length-1;b++){for(var x=t[b],_=t[b+1],w=x.dist(_),M=_.angleTo(x);v+r<g+w;){v+=r;var k=(v-g)/w,A=a(x.x,_.x,k),T=a(x.y,_.y,k);if(A>=0&&A<f&&T>=0&&T<f&&v-d>=0&&v+d<=p){var S=new o(A,T,M,b)._round();n&&!s(t,S,u,n,l)||y.push(S)}}g+=w}return h||y.length||c||(y=i(t,g/2,r,n,l,u,c,!0,f)),y}var a=t(\"../util/interpolate\"),o=t(\"../symbol/anchor\"),s=t(\"./check_max_angle\");e.exports=n},{\"../symbol/anchor\":373,\"../util/interpolate\":418,\"./check_max_angle\":374}],380:[function(t,e,r){\"use strict\";function n(){this.width=o,this.height=o,this.bin=new i(this.width,this.height),this.index={},this.ids={},this.data=new Uint8Array(this.width*this.height)}var i=t(\"shelf-pack\"),a=t(\"../util/util\"),o=128;e.exports=n,n.prototype.getGlyphs=function(){var t,e,r,n={};for(var i in this.ids)t=i.split(\"#\"),e=t[0],r=t[1],n[e]||(n[e]=[]),n[e].push(r);return n},n.prototype.getRects=function(){var t,e,r,n={};for(var i in this.ids)t=i.split(\"#\"),e=t[0],r=t[1],n[e]||(n[e]={}),n[e][r]=this.index[i];return n},n.prototype.addGlyph=function(t,e,r,n){if(!r)return null;var i=e+\"#\"+r.id;if(this.index[i])return this.ids[i].indexOf(t)<0&&this.ids[i].push(t),this.index[i];if(!r.bitmap)return null;var o=r.width+2*n,s=r.height+2*n,l=o+2,u=s+2;l+=4-l%4,u+=4-u%4;var c=this.bin.packOne(l,u);if(c||(this.resize(),c=this.bin.packOne(l,u)),!c)return a.warnOnce(\"glyph bitmap overflow\"),null;this.index[i]=c,this.ids[i]=[t];for(var h=this.data,f=r.bitmap,d=0;d<s;d++)for(var p=this.width*(c.y+d+1)+c.x+1,m=o*d,g=0;g<o;g++)h[p+g]=f[m+g];return this.dirty=!0,c},n.prototype.resize=function(){var t=this.width,e=this.height;if(!(t>=2048||e>=2048)){this.texture&&(this.gl&&this.gl.deleteTexture(this.texture),this.texture=null),this.width*=4,this.height*=4,this.bin.resize(this.width,this.height);for(var r=new ArrayBuffer(this.width*this.height),n=0;n<e;n++){var i=new Uint8Array(this.data.buffer,e*n,t);new Uint8Array(r,e*n*4,t).set(i)}this.data=new Uint8Array(r)}},n.prototype.bind=function(t){this.gl=t,this.texture?t.bindTexture(t.TEXTURE_2D,this.texture):(this.texture=t.createTexture(),t.bindTexture(t.TEXTURE_2D,this.texture),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.LINEAR),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.LINEAR),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),t.texImage2D(t.TEXTURE_2D,0,t.ALPHA,this.width,this.height,0,t.ALPHA,t.UNSIGNED_BYTE,null))},n.prototype.updateTexture=function(t){this.bind(t),this.dirty&&(t.texSubImage2D(t.TEXTURE_2D,0,0,0,this.width,this.height,t.ALPHA,t.UNSIGNED_BYTE,this.data),this.dirty=!1)}},{\"../util/util\":424,\"shelf-pack\":495}],381:[function(t,e,r){\"use strict\";function n(t){this.url=t&&o(t),this.atlases={},this.stacks={},this.loading={}}function i(t,e,r){this.advance=t.advance,this.left=t.left-r-1,this.top=t.top+r+1,this.rect=e}function a(t,e,r,n){return n=n||\"abc\",r.replace(\"{s}\",n[t.length%n.length]).replace(\"{fontstack}\",t).replace(\"{range}\",e)}var o=t(\"../util/mapbox\").normalizeGlyphsURL,s=t(\"../util/ajax\").getArrayBuffer,l=t(\"../util/glyphs\"),u=t(\"../symbol/glyph_atlas\"),c=t(\"pbf\");e.exports=n,n.prototype.getSimpleGlyphs=function(t,e,r,n){void 0===this.stacks[t]&&(this.stacks[t]={}),void 0===this.atlases[t]&&(this.atlases[t]=new u);for(var a,o={},s=this.stacks[t],l=this.atlases[t],c={},h=0,f=0;f<e.length;f++){var d=e[f];if(a=Math.floor(d/256),s[a]){var p=s[a].glyphs[d],m=l.addGlyph(r,t,p,3);p&&(o[d]=new i(p,m,3))}else void 0===c[a]&&(c[a]=[],h++),c[a].push(d)}h||n(void 0,o,t);var g=function(e,a,s){if(!e)for(var u=this.stacks[t][a]=s.stacks[0],f=0;f<c[a].length;f++){var d=c[a][f],p=u.glyphs[d],m=l.addGlyph(r,t,p,3);p&&(o[d]=new i(p,m,3))}--h||n(void 0,o,t)}.bind(this);for(var v in c)this.loadRange(t,v,g)},n.prototype.loadRange=function(t,e,r){if(256*e>65535)return r(\"glyphs > 65535 not supported\");void 0===this.loading[t]&&(this.loading[t]={});var n=this.loading[t];if(n[e])n[e].push(r);else{n[e]=[r];var i=256*e+\"-\"+(256*e+255),o=a(t,i,this.url);s(o,function(t,r){for(var i=!t&&new l(new c(new Uint8Array(r))),a=0;a<n[e].length;a++)n[e][a](t,e,i);delete n[e]})}},n.prototype.getGlyphAtlas=function(t){return this.atlases[t]}},{\"../symbol/glyph_atlas\":380,\"../util/ajax\":407,\"../util/glyphs\":417,\"../util/mapbox\":421,pbf:459}],382:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){function n(n){c.push(t[n]),h.push(r[n]),f.push(e[n]),d++}function i(t,e,r){var n=u[t];return delete u[t],u[e]=n,h[n][0].pop(),h[n][0]=h[n][0].concat(r[0]),n}function a(t,e,r){var n=l[e];return delete l[e],l[t]=n,h[n][0].shift(),h[n][0]=r[0].concat(h[n][0]),n}function o(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}var s,l={},u={},c=[],h=[],f=[],d=0;for(s=0;s<t.length;s++){var p=r[s],m=e[s];if(m){var g=o(m,p),v=o(m,p,!0);if(g in u&&v in l&&u[g]!==l[v]){var y=a(g,v,p),b=i(g,v,h[y]);delete l[g],delete u[v],u[o(m,h[b],!0)]=b,h[y]=null}else g in u?i(g,v,p):v in l?a(g,v,p):(n(s),l[g]=d-1,u[v]=d-1)}else n(s)}return{features:c,textFeatures:f,geometries:h}}},{}],383:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s,l,u){this.anchorPoint=t,this.tl=e,this.tr=r,this.bl=n,this.br=i,this.tex=a,this.anchorAngle=o,this.glyphAngle=s,this.minScale=l,this.maxScale=u}function i(t,e,r,i,a,o,u,c,h){var f,d,p,m,g=e.image.rect,v=a.layout,y=e.left-1,b=y+g.w/e.image.pixelRatio,x=e.top-1,_=x+g.h/e.image.pixelRatio;if(\"none\"!==v[\"icon-text-fit\"]&&u){var w=b-y,M=_-x,k=v[\"text-size\"]/24,A=u.left*k,T=u.right*k,S=u.top*k,E=u.bottom*k,L=T-A,C=E-S,z=v[\"icon-text-fit-padding\"][0],D=v[\"icon-text-fit-padding\"][1],I=v[\"icon-text-fit-padding\"][2],P=v[\"icon-text-fit-padding\"][3],O=\"width\"===v[\"icon-text-fit\"]?.5*(C-M):0,j=\"height\"===v[\"icon-text-fit\"]?.5*(L-w):0,R=\"width\"===v[\"icon-text-fit\"]||\"both\"===v[\"icon-text-fit\"]?L:w,F=\"height\"===v[\"icon-text-fit\"]||\"both\"===v[\"icon-text-fit\"]?C:M;f=new s(A+j-P,S+O-z),d=new s(A+j+D+R,S+O-z),p=new s(A+j+D+R,S+O+I+F),m=new s(A+j-P,S+O+I+F)}else f=new s(y,x),d=new s(b,x),p=new s(b,_),m=new s(y,_);var N=a.getLayoutValue(\"icon-rotate\",c,h)*Math.PI/180;if(o){var B=i[t.segment];if(t.y===B.y&&t.x===B.x&&t.segment+1<i.length){var U=i[t.segment+1];N+=Math.atan2(t.y-U.y,t.x-U.x)+Math.PI}else N+=Math.atan2(t.y-B.y,t.x-B.x)}if(N){var V=Math.sin(N),H=Math.cos(N),q=[H,-V,V,H];f=f.matMult(q),d=d.matMult(q),m=m.matMult(q),p=p.matMult(q)}return[new n(new s(t.x,t.y),f,d,m,p,e.image.rect,0,0,l,1/0)]}function a(t,e,r,i,a,u){for(var c=a.layout[\"text-rotate\"]*Math.PI/180,h=a.layout[\"text-keep-upright\"],f=e.positionedGlyphs,d=[],p=0;p<f.length;p++){var m=f[p],g=m.glyph,v=g.rect;if(v){var y,b=(m.x+g.advance/2)*r,x=l;u?(y=[],x=o(y,t,b,i,t.segment,!0),h&&(x=Math.min(x,o(y,t,b,i,t.segment,!1)))):y=[{anchorPoint:new s(t.x,t.y),offset:0,angle:0,maxScale:1/0,minScale:l}];for(var _=m.x+g.left,w=m.y-g.top,M=_+v.w,k=w+v.h,A=new s(_,w),T=new s(M,w),S=new s(_,k),E=new s(M,k),L=0;L<y.length;L++){var C=y[L],z=A,D=T,I=S,P=E;if(c){var O=Math.sin(c),j=Math.cos(c),R=[j,-O,O,j];z=z.matMult(R),D=D.matMult(R),I=I.matMult(R),P=P.matMult(R)}var F=Math.max(C.minScale,x),N=(t.angle+C.offset+2*Math.PI)%(2*Math.PI),B=(C.angle+C.offset+2*Math.PI)%(2*Math.PI);d.push(new n(C.anchorPoint,z,D,I,P,v,N,B,F,C.maxScale))}}}return d}function o(t,e,r,n,i,a){var o=!a;r<0&&(a=!a),a&&i++;var u=new s(e.x,e.y),c=n[i],h=1/0;r=Math.abs(r);for(var f=l;;){var d=u.dist(c),p=r/d,m=Math.atan2(c.y-u.y,c.x-u.x);if(a||(m+=Math.PI),t.push({anchorPoint:u,offset:o?Math.PI:0,minScale:p,maxScale:h,angle:(m+2*Math.PI)%(2*Math.PI)}),p<=f)break;for(u=c;u.equals(c);)if(i+=a?1:-1,!(c=n[i]))return p;var g=c.sub(u)._unit();u=u.sub(g._mult(d)),h=p}return f}var s=t(\"point-geometry\");e.exports={getIconQuads:i,getGlyphQuads:a,SymbolQuad:n};var l=.5},{\"point-geometry\":465}],384:[function(t,e,r){\"use strict\";function n(t,e,r){for(var n=[],a=0,o=t.length;a<o;a++){var s=i(t[a].properties,e[\"text-field\"]);if(s){s=s.toString();var l=e[\"text-transform\"];\"uppercase\"===l?s=s.toLocaleUpperCase():\"lowercase\"===l&&(s=s.toLocaleLowerCase());for(var u=0;u<s.length;u++)r[s.charCodeAt(u)]=!0;n[a]=s}else n[a]=null}return n}var i=t(\"../util/token\");e.exports=n},{\"../util/token\":423}],385:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.codePoint=t,this.x=e,this.y=r,this.glyph=n}function i(t,e,r,n,i,a){this.positionedGlyphs=t,this.text=e,this.top=r,this.bottom=n,this.left=i,this.right=a}function a(t,e,r,a,s,l,u,c,h){for(var f=[],d=new i(f,t,h[1],h[1],h[0],h[0]),p=0,m=0;m<t.length;m++){var g=t.charCodeAt(m),v=e[g];v&&(f.push(new n(g,p,-17,v)),p+=v.advance+c)}return!!f.length&&(o(d,e,a,r,s,l,u,h),d)}function o(t,e,r,n,i,a,o,u){var c=null,d=0,p=0,m=0,g=0,v=t.positionedGlyphs;if(n)for(var y=0;y<v.length;y++){var b=v[y];if(b.x-=d,b.y+=r*m,b.x>n&&null!==c){var x=v[c+1].x;g=Math.max(x,g);for(var _=c+1;_<=y;_++)v[_].y+=r,v[_].x-=x;if(o){var w=c;h[v[c].codePoint]&&w--,s(v,e,p,w,o)}p=c+1,c=null,d+=x,m++}f[b.codePoint]&&(c=y)}var M=v[v.length-1],k=M.x+e[M.codePoint].advance;g=Math.max(g,k);var A=(m+1)*r;s(v,e,p,v.length-1,o),l(v,o,i,a,g,r,m,u),t.top+=-a*A,t.bottom=t.top+A,t.left+=-i*g,t.right=t.left+g}function s(t,e,r,n,i){for(var a=e[t[n].codePoint].advance,o=(t[n].x+a)*i,s=r;s<=n;s++)t[s].x-=o}function l(t,e,r,n,i,a,o,s){for(var l=(e-r)*i+s[0],u=(-n*(o+1)+.5)*a+s[1],c=0;c<t.length;c++)t[c].x+=l,t[c].y+=u}function u(t,e){if(!t||!t.rect)return null;var r=e[\"icon-offset\"][0],n=e[\"icon-offset\"][1],i=r-t.width/2,a=i+t.width,o=n-t.height/2;return new c(t,o,o+t.height,i,a)}function c(t,e,r,n,i){this.image=t,this.top=e,this.bottom=r,this.left=n,this.right=i}e.exports={shapeText:a,shapeIcon:u};var h={32:!0,8203:!0},f={32:!0,38:!0,43:!0,45:!0,47:!0,173:!0,183:!0,8203:!0,8208:!0,8211:!0}},{}],386:[function(t,e,r){\"use strict\";function n(t,e){this.width=t,this.height=e,this.bin=new o(t,e),this.images={},this.data=!1,this.texture=0,this.filter=0,this.pixelRatio=1,this.dirty=!0}function i(t,e,r,n,i,a,o,s,l,u,c){var h,f,d=n*e+r,p=s*a+o;if(c)for(p-=a,f=-1;f<=u;f++,d=((f+u)%u+n)*e+r,p+=a)for(h=-1;h<=l;h++)i[p+h]=t[d+(h+l)%l];else for(f=0;f<u;f++,d+=e,p+=a)for(h=0;h<l;h++)i[p+h]=t[d+h]}function a(t,e,r,n,i){this.rect=t,this.width=e,this.height=r,this.sdf=n,this.pixelRatio=i}var o=t(\"shelf-pack\"),s=t(\"../util/browser\"),l=t(\"../util/util\");e.exports=n,n.prototype.allocateImage=function(t,e){t/=this.pixelRatio,e/=this.pixelRatio;var r=t+2+(4-(t+2)%4),n=e+2+(4-(e+2)%4),i=this.bin.packOne(r,n);return i||(l.warnOnce(\"SpriteAtlas out of space.\"),null)},n.prototype.getImage=function(t,e){if(this.images[t])return this.images[t];if(!this.sprite)return null;var r=this.sprite.getSpritePosition(t);if(!r.width||!r.height)return null;var n=this.allocateImage(r.width,r.height);if(!n)return null;var i=new a(n,r.width/r.pixelRatio,r.height/r.pixelRatio,r.sdf,r.pixelRatio/this.pixelRatio);return this.images[t]=i,this.copy(n,r,e),i},n.prototype.getPosition=function(t,e){var r=this.getImage(t,e),n=r&&r.rect;if(!n)return null;var i=r.width*r.pixelRatio,a=r.height*r.pixelRatio;return{size:[r.width,r.height],tl:[(n.x+1)/this.width,(n.y+1)/this.height],br:[(n.x+1+i)/this.width,(n.y+1+a)/this.height]}},n.prototype.allocate=function(){if(!this.data){var t=Math.floor(this.width*this.pixelRatio),e=Math.floor(this.height*this.pixelRatio);this.data=new Uint32Array(t*e);for(var r=0;r<this.data.length;r++)this.data[r]=0}},n.prototype.copy=function(t,e,r){if(this.sprite.img.data){var n=new Uint32Array(this.sprite.img.data.buffer);this.allocate();var a=this.data;i(n,this.sprite.img.width,e.x,e.y,a,this.width*this.pixelRatio,(t.x+1)*this.pixelRatio,(t.y+1)*this.pixelRatio,e.width,e.height,r),this.dirty=!0}},n.prototype.setSprite=function(t){t&&(this.pixelRatio=s.devicePixelRatio>1?2:1,this.canvas&&(this.canvas.width=this.width*this.pixelRatio,this.canvas.height=this.height*this.pixelRatio)),this.sprite=t},n.prototype.addIcons=function(t,e){for(var r=0;r<t.length;r++)this.getImage(t[r]);e(null,this.images)},n.prototype.bind=function(t,e){var r=!1;this.texture?t.bindTexture(t.TEXTURE_2D,this.texture):(this.texture=t.createTexture(),t.bindTexture(t.TEXTURE_2D,this.texture),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),r=!0);var n=e?t.LINEAR:t.NEAREST;n!==this.filter&&(t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,n),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,n),this.filter=n),this.dirty&&(this.allocate(),r?t.texImage2D(t.TEXTURE_2D,0,t.RGBA,this.width*this.pixelRatio,this.height*this.pixelRatio,0,t.RGBA,t.UNSIGNED_BYTE,new Uint8Array(this.data.buffer)):t.texSubImage2D(t.TEXTURE_2D,0,0,0,this.width*this.pixelRatio,this.height*this.pixelRatio,t.RGBA,t.UNSIGNED_BYTE,new Uint8Array(this.data.buffer)),this.dirty=!1)}},{\"../util/browser\":408,\"../util/util\":424,\"shelf-pack\":495}],387:[function(t,e,r){\"use strict\";var n=t(\"../util/struct_array\"),i=t(\"../util/util\"),a=t(\"point-geometry\"),o=e.exports=new n({members:[{type:\"Uint16\",name:\"textBoxStartIndex\"},{type:\"Uint16\",name:\"textBoxEndIndex\"},{type:\"Uint16\",name:\"iconBoxStartIndex\"},{type:\"Uint16\",name:\"iconBoxEndIndex\"},{type:\"Uint16\",name:\"glyphQuadStartIndex\"},{type:\"Uint16\",name:\"glyphQuadEndIndex\"},{type:\"Uint16\",name:\"iconQuadStartIndex\"},{type:\"Uint16\",name:\"iconQuadEndIndex\"},{type:\"Int16\",name:\"anchorPointX\"},{type:\"Int16\",name:\"anchorPointY\"},{type:\"Int8\",name:\"index\"}]});i.extendAll(o.prototype.StructType.prototype,{get anchorPoint(){return new a(this.anchorPointX,this.anchorPointY)}})},{\"../util/struct_array\":422,\"../util/util\":424,\"point-geometry\":465}],388:[function(t,e,r){\"use strict\";var n=t(\"../util/struct_array\"),i=t(\"../util/util\"),a=t(\"point-geometry\"),o=t(\"./quads\").SymbolQuad,s=e.exports=new n({members:[{type:\"Int16\",name:\"anchorPointX\"},{type:\"Int16\",name:\"anchorPointY\"},{type:\"Float32\",name:\"tlX\"},{type:\"Float32\",name:\"tlY\"},{type:\"Float32\",name:\"trX\"},{type:\"Float32\",name:\"trY\"},{type:\"Float32\",name:\"blX\"},{type:\"Float32\",name:\"blY\"},{type:\"Float32\",name:\"brX\"},{type:\"Float32\",name:\"brY\"},{type:\"Int16\",name:\"texH\"},{type:\"Int16\",name:\"texW\"},{type:\"Int16\",name:\"texX\"},{type:\"Int16\",name:\"texY\"},{type:\"Float32\",name:\"anchorAngle\"},{type:\"Float32\",name:\"glyphAngle\"},{type:\"Float32\",name:\"maxScale\"},{type:\"Float32\",name:\"minScale\"}]});i.extendAll(s.prototype.StructType.prototype,{get anchorPoint(){return new a(this.anchorPointX,this.anchorPointY)},get SymbolQuad(){return new o(this.anchorPoint,new a(this.tlX,this.tlY),new a(this.trX,this.trY),new a(this.blX,this.blY),new a(this.brX,this.brY),{x:this.texX,y:this.texY,h:this.texH,w:this.texW,height:this.texH,width:this.texW},this.anchorAngle,this.glyphAngle,this.minScale,this.maxScale)}})},{\"../util/struct_array\":422,\"../util/util\":424,\"./quads\":383,\"point-geometry\":465}],389:[function(t,e,r){\"use strict\";var n=t(\"../util/dom\"),i=t(\"point-geometry\"),a={scrollZoom:t(\"./handler/scroll_zoom\"),boxZoom:t(\"./handler/box_zoom\"),dragRotate:t(\"./handler/drag_rotate\"),dragPan:t(\"./handler/drag_pan\"),keyboard:t(\"./handler/keyboard\"),doubleClickZoom:t(\"./handler/dblclick_zoom\"),touchZoomRotate:t(\"./handler/touch_zoom_rotate\")};e.exports=function(t,e){function r(t){v(\"mouseout\",t)}function o(e){t.stop(),_=n.mousePos(b,e),v(\"mousedown\",e)}function s(e){var r=t.dragRotate&&t.dragRotate.isActive();x&&!r&&v(\"contextmenu\",x),x=null,v(\"mouseup\",e)}function l(e){if(!(t.dragPan&&t.dragPan.isActive()||t.dragRotate&&t.dragRotate.isActive())){for(var r=e.toElement||e.target;r&&r!==b;)r=r.parentNode;r===b&&v(\"mousemove\",e)}}function u(e){t.stop(),y(\"touchstart\",e),!e.touches||e.touches.length>1||(w?(clearTimeout(w),w=null,v(\"dblclick\",e)):w=setTimeout(d,300))}function c(t){y(\"touchmove\",t)}function h(t){y(\"touchend\",t)}function f(t){y(\"touchcancel\",t)}function d(){w=null}function p(t){n.mousePos(b,t).equals(_)&&v(\"click\",t)}function m(t){v(\"dblclick\",t),t.preventDefault()}function g(t){x=t,t.preventDefault()}function v(e,r){var i=n.mousePos(b,r);return t.fire(e,{lngLat:t.unproject(i),point:i,originalEvent:r})}function y(e,r){var a=n.touchPos(b,r),o=a.reduce(function(t,e,r,n){return t.add(e.div(n.length))},new i(0,0));return t.fire(e,{lngLat:t.unproject(o),point:o,lngLats:a.map(function(e){return t.unproject(e)},this),points:a,originalEvent:r})}var b=t.getCanvasContainer(),x=null,_=null,w=null;for(var M in a)t[M]=new a[M](t,e),e.interactive&&e[M]&&t[M].enable();b.addEventListener(\"mouseout\",r,!1),b.addEventListener(\"mousedown\",o,!1),b.addEventListener(\"mouseup\",s,!1),b.addEventListener(\"mousemove\",l,!1),b.addEventListener(\"touchstart\",u,!1),b.addEventListener(\"touchend\",h,!1),b.addEventListener(\"touchmove\",c,!1),b.addEventListener(\"touchcancel\",f,!1),b.addEventListener(\"click\",p,!1),b.addEventListener(\"dblclick\",m,!1),b.addEventListener(\"contextmenu\",g,!1)}},{\"../util/dom\":410,\"./handler/box_zoom\":395,\"./handler/dblclick_zoom\":396,\"./handler/drag_pan\":397,\"./handler/drag_rotate\":398,\"./handler/keyboard\":399,\"./handler/scroll_zoom\":400,\"./handler/touch_zoom_rotate\":401,\"point-geometry\":465}],390:[function(t,e,r){\"use strict\";var n=t(\"../util/util\"),i=t(\"../util/interpolate\"),a=t(\"../util/browser\"),o=t(\"../geo/lng_lat\"),s=t(\"../geo/lng_lat_bounds\"),l=t(\"point-geometry\"),u=e.exports=function(){};n.extend(u.prototype,{getCenter:function(){return this.transform.center},setCenter:function(t,e){return this.jumpTo({center:t},e),this},panBy:function(t,e,r){return this.panTo(this.transform.center,n.extend({offset:l.convert(t).mult(-1)},e),r),this},panTo:function(t,e,r){return this.easeTo(n.extend({center:t},e),r)},getZoom:function(){return this.transform.zoom},setZoom:function(t,e){return this.jumpTo({zoom:t},e),this},zoomTo:function(t,e,r){return this.easeTo(n.extend({zoom:t},e),r)},zoomIn:function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},zoomOut:function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},getBearing:function(){return this.transform.bearing},setBearing:function(t,e){return this.jumpTo({bearing:t},e),this},rotateTo:function(t,e,r){return this.easeTo(n.extend({bearing:t},e),r)},resetNorth:function(t,e){return this.rotateTo(0,n.extend({duration:1e3},t),e),this},snapToNorth:function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},getPitch:function(){return this.transform.pitch},setPitch:function(t,e){return this.jumpTo({pitch:t},e),this},fitBounds:function(t,e,r){e=n.extend({padding:0,offset:[0,0],maxZoom:1/0},e),t=s.convert(t);var i=l.convert(e.offset),a=this.transform,o=a.project(t.getNorthWest()),u=a.project(t.getSouthEast()),c=u.sub(o),h=(a.width-2*e.padding-2*Math.abs(i.x))/c.x,f=(a.height-2*e.padding-2*Math.abs(i.y))/c.y;return e.center=a.unproject(o.add(u).div(2)),e.zoom=Math.min(a.scaleZoom(a.scale*Math.min(h,f)),e.maxZoom),e.bearing=0,e.linear?this.easeTo(e,r):this.flyTo(e,r)},jumpTo:function(t,e){this.stop();var r=this.transform,n=!1,i=!1,a=!1;return\"zoom\"in t&&r.zoom!==+t.zoom&&(n=!0,r.zoom=+t.zoom),\"center\"in t&&(r.center=o.convert(t.center)),\"bearing\"in t&&r.bearing!==+t.bearing&&(i=!0,r.bearing=+t.bearing),\"pitch\"in t&&r.pitch!==+t.pitch&&(a=!0,r.pitch=+t.pitch),this.fire(\"movestart\",e).fire(\"move\",e),n&&this.fire(\"zoomstart\",e).fire(\"zoom\",e).fire(\"zoomend\",e),i&&this.fire(\"rotate\",e),a&&this.fire(\"pitch\",e),this.fire(\"moveend\",e)},easeTo:function(t,e){this.stop(),t=n.extend({offset:[0,0],duration:500,easing:n.ease},t);var r,a,s=this.transform,u=l.convert(t.offset),c=this.getZoom(),h=this.getBearing(),f=this.getPitch(),d=\"zoom\"in t?+t.zoom:c,p=\"bearing\"in t?this._normalizeBearing(t.bearing,h):h,m=\"pitch\"in t?+t.pitch:f;\"center\"in t?(r=o.convert(t.center),a=s.centerPoint.add(u)):\"around\"in t?(r=o.convert(t.around),a=s.locationPoint(r)):(a=s.centerPoint.add(u),r=s.pointLocation(a));var g=s.locationPoint(r);return t.animate===!1&&(t.duration=0),this.zooming=d!==c,this.rotating=h!==p,this.pitching=m!==f,t.noMoveStart||this.fire(\"movestart\",e),this.zooming&&this.fire(\"zoomstart\",e),clearTimeout(this._onEaseEnd),this._ease(function(t){this.zooming&&(s.zoom=i(c,d,t)),this.rotating&&(s.bearing=i(h,p,t)),this.pitching&&(s.pitch=i(f,m,t)),s.setLocationAtPoint(r,g.add(a.sub(g)._mult(t))),this.fire(\"move\",e),this.zooming&&this.fire(\"zoom\",e),this.rotating&&this.fire(\"rotate\",e),this.pitching&&this.fire(\"pitch\",e)},function(){t.delayEndEvents?this._onEaseEnd=setTimeout(this._easeToEnd.bind(this,e),t.delayEndEvents):this._easeToEnd(e)}.bind(this),t),this},_easeToEnd:function(t){var e=this.zooming;this.zooming=!1,this.rotating=!1,this.pitching=!1,e&&this.fire(\"zoomend\",t),this.fire(\"moveend\",t)},flyTo:function(t,e){function r(t){var e=(A*A-k*k+(t?-1:1)*L*L*T*T)/(2*(t?A:k)*L*T);return Math.log(Math.sqrt(e*e+1)-e)}function a(t){return(Math.exp(t)-Math.exp(-t))/2}function s(t){return(Math.exp(t)+Math.exp(-t))/2}function u(t){return a(t)/s(t)}this.stop(),t=n.extend({offset:[0,0],speed:1.2,curve:1.42,easing:n.ease},t);var c=this.transform,h=l.convert(t.offset),f=this.getZoom(),d=this.getBearing(),p=this.getPitch(),m=\"center\"in t?o.convert(t.center):this.getCenter(),g=\"zoom\"in t?+t.zoom:f,v=\"bearing\"in t?this._normalizeBearing(t.bearing,d):d,y=\"pitch\"in t?+t.pitch:p;Math.abs(c.center.lng)+Math.abs(m.lng)>180&&(c.center.lng>0&&m.lng<0?m.lng+=360:c.center.lng<0&&m.lng>0&&(m.lng-=360));var b=c.zoomScale(g-f),x=c.point,_=\"center\"in t?c.project(m).sub(h.div(b)):x,w=c.worldSize,M=t.curve,k=Math.max(c.width,c.height),A=k/b,T=_.sub(x).mag();if(\"minZoom\"in t){var S=n.clamp(Math.min(t.minZoom,f,g),c.minZoom,c.maxZoom),E=k/c.zoomScale(S-f);M=Math.sqrt(E/T*2)}var L=M*M,C=r(0),z=function(t){return s(C)/s(C+M*t)},D=function(t){return k*((s(C)*u(C+M*t)-a(C))/L)/T},I=(r(1)-C)/M;if(Math.abs(T)<1e-6){if(Math.abs(k-A)<1e-6)return this.easeTo(t);var P=A<k?-1:1;I=Math.abs(Math.log(A/k))/M,D=function(){return 0},z=function(t){return Math.exp(P*M*t)}}if(\"duration\"in t)t.duration=+t.duration;else{var O=\"screenSpeed\"in t?+t.screenSpeed/M:+t.speed;t.duration=1e3*I/O}return this.zooming=!0,d!==v&&(this.rotating=!0),p!==y&&(this.pitching=!0),this.fire(\"movestart\",e),this.fire(\"zoomstart\",e),this._ease(function(t){var r=t*I,n=D(r);c.zoom=f+c.scaleZoom(1/z(r)),c.center=c.unproject(x.add(_.sub(x).mult(n)),w),this.rotating&&(c.bearing=i(d,v,t)),this.pitching&&(c.pitch=i(p,y,t)),this.fire(\"move\",e),this.fire(\"zoom\",e),this.rotating&&this.fire(\"rotate\",e),this.pitching&&this.fire(\"pitch\",e)},function(){this.zooming=!1,this.rotating=!1,this.pitching=!1,this.fire(\"zoomend\",e),this.fire(\"moveend\",e)},t),this},isEasing:function(){return!!this._abortFn},stop:function(){return this._abortFn&&(this._abortFn(),this._finishEase()),this},_ease:function(t,e,r){this._finishFn=e,this._abortFn=a.timed(function(e){t.call(this,r.easing(e)),1===e&&this._finishEase()},r.animate===!1?0:r.duration,this)},_finishEase:function(){delete this._abortFn;var t=this._finishFn;delete this._finishFn,t.call(this)},_normalizeBearing:function(t,e){t=n.wrap(t,-180,180);var r=Math.abs(t-e);return Math.abs(t-360-e)<r&&(t-=360),Math.abs(t+360-e)<r&&(t+=360),t},_updateEasing:function(t,e,r){var i;if(this.ease){var a=this.ease,o=(Date.now()-a.start)/a.duration,s=a.easing(o+.01)-a.easing(o),l=.27/Math.sqrt(s*s+1e-4)*.01,u=Math.sqrt(.0729-l*l);i=n.bezier(l,u,.25,1)}else i=r?n.bezier.apply(n,r):n.ease;return this.ease={start:(new Date).getTime(),to:Math.pow(2,e),duration:t,easing:i},i}})},{\"../geo/lng_lat\":321,\"../geo/lng_lat_bounds\":322,\"../util/browser\":408,\"../util/interpolate\":418,\"../util/util\":424,\"point-geometry\":465}],391:[function(t,e,r){\"use strict\";function n(t){o.setOptions(this,t)}var i=t(\"./control\"),a=t(\"../../util/dom\"),o=t(\"../../util/util\");e.exports=n,n.createAttributionString=function(t){var e=[];for(var r in t){var n=t[r];n.attribution&&e.indexOf(n.attribution)<0&&e.push(n.attribution)}return e.sort(function(t,e){return t.length-e.length}),e=e.filter(function(t,r){for(var n=r+1;n<e.length;n++)if(e[n].indexOf(t)>=0)return!1;return!0}),e.join(\" | \")},n.prototype=o.inherit(i,{options:{position:\"bottom-right\"},onAdd:function(t){var e=this._container=a.create(\"div\",\"mapboxgl-ctrl-attrib\",t.getContainer());return this._update(),t.on(\"source.load\",this._update.bind(this)),t.on(\"source.change\",this._update.bind(this)),t.on(\"source.remove\",this._update.bind(this)),t.on(\"moveend\",this._updateEditLink.bind(this)),e},_update:function(){this._map.style&&(this._container.innerHTML=n.createAttributionString(this._map.style.sources)),this._editLink=this._container.getElementsByClassName(\"mapbox-improve-map\")[0],this._updateEditLink()},_updateEditLink:function(){if(this._editLink){var t=this._map.getCenter();this._editLink.href=\"https://www.mapbox.com/map-feedback/#/\"+t.lng+\"/\"+t.lat+\"/\"+Math.round(this._map.getZoom()+1)}}})},{\"../../util/dom\":410,\"../../util/util\":424,\"./control\":392}],392:[function(t,e,r){\"use strict\";function n(){}var i=t(\"../../util/util\"),a=t(\"../../util/evented\");e.exports=n,n.prototype={addTo:function(t){this._map=t;var e=this._container=this.onAdd(t);if(this.options&&this.options.position){var r=this.options.position,n=t._controlCorners[r];e.className+=\" mapboxgl-ctrl\",r.indexOf(\"bottom\")!==-1?n.insertBefore(e,n.firstChild):n.appendChild(e)}return this},remove:function(){return this._container.parentNode.removeChild(this._container),this.onRemove&&this.onRemove(this._map),this._map=null,this}},i.extend(n.prototype,a)},{\"../../util/evented\":416,\"../../util/util\":424}],393:[function(t,e,r){\"use strict\";function n(t){s.setOptions(this,t)}var i=t(\"./control\"),a=t(\"../../util/browser\"),o=t(\"../../util/dom\"),s=t(\"../../util/util\");e.exports=n;var l={enableHighAccuracy:!1,timeout:6e3};n.prototype=s.inherit(i,{options:{position:\"top-right\"},onAdd:function(t){var e=this._container=o.create(\"div\",\"mapboxgl-ctrl-group\",t.getContainer());return a.supportsGeolocation?(this._container.addEventListener(\"contextmenu\",this._onContextMenu.bind(this)),this._geolocateButton=o.create(\"button\",\"mapboxgl-ctrl-icon mapboxgl-ctrl-geolocate\",this._container),this._geolocateButton.type=\"button\",this._geolocateButton.addEventListener(\"click\",this._onClickGeolocate.bind(this)),e):e},_onContextMenu:function(t){t.preventDefault()},_onClickGeolocate:function(){navigator.geolocation.getCurrentPosition(this._success.bind(this),this._error.bind(this),l),this._timeoutId=setTimeout(this._finish.bind(this),1e4)},_success:function(t){this._map.jumpTo({center:[t.coords.longitude,t.coords.latitude],zoom:17,bearing:0,pitch:0}),\n",
       "this.fire(\"geolocate\",t),this._finish()},_error:function(t){this.fire(\"error\",t),this._finish()},_finish:function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0}})},{\"../../util/browser\":408,\"../../util/dom\":410,\"../../util/util\":424,\"./control\":392}],394:[function(t,e,r){\"use strict\";function n(t){s.setOptions(this,t)}function i(t){return new MouseEvent(t.type,{button:2,buttons:2,bubbles:!0,cancelable:!0,detail:t.detail,view:t.view,screenX:t.screenX,screenY:t.screenY,clientX:t.clientX,clientY:t.clientY,movementX:t.movementX,movementY:t.movementY,ctrlKey:t.ctrlKey,shiftKey:t.shiftKey,altKey:t.altKey,metaKey:t.metaKey})}var a=t(\"./control\"),o=t(\"../../util/dom\"),s=t(\"../../util/util\");e.exports=n,n.prototype=s.inherit(a,{options:{position:\"top-right\"},onAdd:function(t){var e=\"mapboxgl-ctrl\",r=this._container=o.create(\"div\",e+\"-group\",t.getContainer());return this._container.addEventListener(\"contextmenu\",this._onContextMenu.bind(this)),this._zoomInButton=this._createButton(e+\"-icon \"+e+\"-zoom-in\",t.zoomIn.bind(t)),this._zoomOutButton=this._createButton(e+\"-icon \"+e+\"-zoom-out\",t.zoomOut.bind(t)),this._compass=this._createButton(e+\"-icon \"+e+\"-compass\",t.resetNorth.bind(t)),this._compassArrow=o.create(\"div\",\"arrow\",this._compass),this._compass.addEventListener(\"mousedown\",this._onCompassDown.bind(this)),this._onCompassMove=this._onCompassMove.bind(this),this._onCompassUp=this._onCompassUp.bind(this),t.on(\"rotate\",this._rotateCompassArrow.bind(this)),this._rotateCompassArrow(),this._el=t.getCanvasContainer(),r},_onContextMenu:function(t){t.preventDefault()},_onCompassDown:function(t){0===t.button&&(o.disableDrag(),document.addEventListener(\"mousemove\",this._onCompassMove),document.addEventListener(\"mouseup\",this._onCompassUp),this._el.dispatchEvent(i(t)),t.stopPropagation())},_onCompassMove:function(t){0===t.button&&(this._el.dispatchEvent(i(t)),t.stopPropagation())},_onCompassUp:function(t){0===t.button&&(document.removeEventListener(\"mousemove\",this._onCompassMove),document.removeEventListener(\"mouseup\",this._onCompassUp),o.enableDrag(),this._el.dispatchEvent(i(t)),t.stopPropagation())},_createButton:function(t,e){var r=o.create(\"button\",t,this._container);return r.type=\"button\",r.addEventListener(\"click\",function(){e()}),r},_rotateCompassArrow:function(){var t=\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassArrow.style.transform=t}})},{\"../../util/dom\":410,\"../../util/util\":424,\"./control\":392}],395:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),o.bindHandlers(this)}var i=t(\"../../util/dom\"),a=t(\"../../geo/lng_lat_bounds\"),o=t(\"../../util/util\");e.exports=n,n.prototype={_enabled:!1,_active:!1,isEnabled:function(){return this._enabled},isActive:function(){return this._active},enable:function(){this.isEnabled()||(this._el.addEventListener(\"mousedown\",this._onMouseDown,!1),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"mousedown\",this._onMouseDown),this._enabled=!1)},_onMouseDown:function(t){t.shiftKey&&0===t.button&&(document.addEventListener(\"mousemove\",this._onMouseMove,!1),document.addEventListener(\"keydown\",this._onKeyDown,!1),document.addEventListener(\"mouseup\",this._onMouseUp,!1),i.disableDrag(),this._startPos=i.mousePos(this._el,t),this._active=!0)},_onMouseMove:function(t){var e=this._startPos,r=i.mousePos(this._el,t);this._box||(this._box=i.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var n=Math.min(e.x,r.x),a=Math.max(e.x,r.x),o=Math.min(e.y,r.y),s=Math.max(e.y,r.y);i.setTransform(this._box,\"translate(\"+n+\"px,\"+o+\"px)\"),this._box.style.width=a-n+\"px\",this._box.style.height=s-o+\"px\"},_onMouseUp:function(t){if(0===t.button){var e=this._startPos,r=i.mousePos(this._el,t),n=new a(this._map.unproject(e),this._map.unproject(r));this._finish(),e.x===r.x&&e.y===r.y?this._fireEvent(\"boxzoomcancel\",t):this._map.fitBounds(n,{linear:!0}).fire(\"boxzoomend\",{originalEvent:t,boxZoomBounds:n})}},_onKeyDown:function(t){27===t.keyCode&&(this._finish(),this._fireEvent(\"boxzoomcancel\",t))},_finish:function(){this._active=!1,document.removeEventListener(\"mousemove\",this._onMouseMove,!1),document.removeEventListener(\"keydown\",this._onKeyDown,!1),document.removeEventListener(\"mouseup\",this._onMouseUp,!1),this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(this._box.parentNode.removeChild(this._box),this._box=null),i.enableDrag()},_fireEvent:function(t,e){return this._map.fire(t,{originalEvent:e})}}},{\"../../geo/lng_lat_bounds\":322,\"../../util/dom\":410,\"../../util/util\":424}],396:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._onDblClick=this._onDblClick.bind(this)}e.exports=n,n.prototype={_enabled:!1,isEnabled:function(){return this._enabled},enable:function(){this.isEnabled()||(this._map.on(\"dblclick\",this._onDblClick),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._map.off(\"dblclick\",this._onDblClick),this._enabled=!1)},_onDblClick:function(t){this._map.zoomTo(this._map.getZoom()+(t.originalEvent.shiftKey?-1:1),{around:t.lngLat},t)}}},{}],397:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._el=t.getCanvasContainer(),a.bindHandlers(this)}var i=t(\"../../util/dom\"),a=t(\"../../util/util\");e.exports=n;var o=a.bezier(0,0,.3,1);n.prototype={_enabled:!1,_active:!1,isEnabled:function(){return this._enabled},isActive:function(){return this._active},enable:function(){this.isEnabled()||(this._el.addEventListener(\"mousedown\",this._onDown),this._el.addEventListener(\"touchstart\",this._onDown),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"mousedown\",this._onDown),this._el.removeEventListener(\"touchstart\",this._onDown),this._enabled=!1)},_onDown:function(t){this._ignoreEvent(t)||this.isActive()||(t.touches?(document.addEventListener(\"touchmove\",this._onMove),document.addEventListener(\"touchend\",this._onTouchEnd)):(document.addEventListener(\"mousemove\",this._onMove),document.addEventListener(\"mouseup\",this._onMouseUp)),this._active=!1,this._startPos=this._pos=i.mousePos(this._el,t),this._inertia=[[Date.now(),this._pos]])},_onMove:function(t){if(!this._ignoreEvent(t)){this.isActive()||(this._active=!0,this._fireEvent(\"dragstart\",t),this._fireEvent(\"movestart\",t));var e=i.mousePos(this._el,t),r=this._map;r.stop(),this._drainInertiaBuffer(),this._inertia.push([Date.now(),e]),r.transform.setLocationAtPoint(r.transform.pointLocation(this._pos),e),this._fireEvent(\"drag\",t),this._fireEvent(\"move\",t),this._pos=e,t.preventDefault()}},_onUp:function(t){if(this.isActive()){this._active=!1,this._fireEvent(\"dragend\",t),this._drainInertiaBuffer();var e=function(){this._fireEvent(\"moveend\",t)}.bind(this),r=this._inertia;if(r.length<2)return void e();var n=r[r.length-1],i=r[0],a=n[1].sub(i[1]),s=(n[0]-i[0])/1e3;if(0===s||n[1].equals(i[1]))return void e();var l=a.mult(.3/s),u=l.mag();u>1400&&(u=1400,l._unit()._mult(u));var c=u/750,h=l.mult(-c/2);this._map.panBy(h,{duration:1e3*c,easing:o,noMoveStart:!0},{originalEvent:t})}},_onMouseUp:function(t){this._ignoreEvent(t)||(this._onUp(t),document.removeEventListener(\"mousemove\",this._onMove),document.removeEventListener(\"mouseup\",this._onMouseUp))},_onTouchEnd:function(t){this._ignoreEvent(t)||(this._onUp(t),document.removeEventListener(\"touchmove\",this._onMove),document.removeEventListener(\"touchend\",this._onTouchEnd))},_fireEvent:function(t,e){return this._map.fire(t,{originalEvent:e})},_ignoreEvent:function(t){var e=this._map;if(e.boxZoom&&e.boxZoom.isActive())return!0;if(e.dragRotate&&e.dragRotate.isActive())return!0;if(t.touches)return t.touches.length>1;if(t.ctrlKey)return!0;return\"mousemove\"===t.type?t.buttons&!1:0!==t.button},_drainInertiaBuffer:function(){for(var t=this._inertia,e=Date.now();t.length>0&&e-t[0][0]>160;)t.shift()}}},{\"../../util/dom\":410,\"../../util/util\":424}],398:[function(t,e,r){\"use strict\";function n(t,e){this._map=t,this._el=t.getCanvasContainer(),this._bearingSnap=e.bearingSnap,o.bindHandlers(this)}var i=t(\"../../util/dom\"),a=t(\"point-geometry\"),o=t(\"../../util/util\");e.exports=n;var s=o.bezier(0,0,.25,1);n.prototype={_enabled:!1,_active:!1,isEnabled:function(){return this._enabled},isActive:function(){return this._active},enable:function(){this.isEnabled()||(this._el.addEventListener(\"mousedown\",this._onDown),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"mousedown\",this._onDown),this._enabled=!1)},_onDown:function(t){if(!this._ignoreEvent(t)&&!this.isActive()){document.addEventListener(\"mousemove\",this._onMove),document.addEventListener(\"mouseup\",this._onUp),this._active=!1,this._inertia=[[Date.now(),this._map.getBearing()]],this._startPos=this._pos=i.mousePos(this._el,t),this._center=this._map.transform.centerPoint;var e=this._startPos.sub(this._center);e.mag()<200&&(this._center=this._startPos.add(new a(-200,0)._rotate(e.angle()))),t.preventDefault()}},_onMove:function(t){if(!this._ignoreEvent(t)){this.isActive()||(this._active=!0,this._fireEvent(\"rotatestart\",t),this._fireEvent(\"movestart\",t));var e=this._map;e.stop();var r=this._pos,n=i.mousePos(this._el,t),a=this._center,o=r.sub(a).angleWith(n.sub(a))/Math.PI*180,s=e.getBearing()-o,l=this._inertia,u=l[l.length-1];this._drainInertiaBuffer(),l.push([Date.now(),e._normalizeBearing(s,u[1])]),e.transform.bearing=s,this._fireEvent(\"rotate\",t),this._fireEvent(\"move\",t),this._pos=n}},_onUp:function(t){if(!this._ignoreEvent(t)&&(document.removeEventListener(\"mousemove\",this._onMove),document.removeEventListener(\"mouseup\",this._onUp),this.isActive())){this._active=!1,this._fireEvent(\"rotateend\",t),this._drainInertiaBuffer();var e=this._map,r=e.getBearing(),n=this._inertia,i=function(){Math.abs(r)<this._bearingSnap?e.resetNorth({noMoveStart:!0},{originalEvent:t}):this._fireEvent(\"moveend\",t)}.bind(this);if(n.length<2)return void i();var a=n[0],o=n[n.length-1],l=n[n.length-2],u=e._normalizeBearing(r,l[1]),c=o[1]-a[1],h=c<0?-1:1,f=(o[0]-a[0])/1e3;if(0===c||0===f)return void i();var d=Math.abs(c*(.25/f));d>180&&(d=180);var p=d/180;u+=h*d*(p/2),Math.abs(e._normalizeBearing(u,0))<this._bearingSnap&&(u=e._normalizeBearing(0,u)),e.rotateTo(u,{duration:1e3*p,easing:s,noMoveStart:!0},{originalEvent:t})}},_fireEvent:function(t,e){return this._map.fire(t,{originalEvent:e})},_ignoreEvent:function(t){var e=this._map;if(e.boxZoom&&e.boxZoom.isActive())return!0;if(e.dragPan&&e.dragPan.isActive())return!0;if(t.touches)return t.touches.length>1;var r=t.ctrlKey?1:2,n=t.ctrlKey?0:2;return\"mousemove\"===t.type?t.buttons&0===r:t.button!==n},_drainInertiaBuffer:function(){for(var t=this._inertia,e=Date.now();t.length>0&&e-t[0][0]>160;)t.shift()}}},{\"../../util/dom\":410,\"../../util/util\":424,\"point-geometry\":465}],399:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._el=t.getCanvasContainer(),this._onKeyDown=this._onKeyDown.bind(this)}e.exports=n;n.prototype={_enabled:!1,isEnabled:function(){return this._enabled},enable:function(){this.isEnabled()||(this._el.addEventListener(\"keydown\",this._onKeyDown,!1),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"keydown\",this._onKeyDown),this._enabled=!1)},_onKeyDown:function(t){if(!(t.altKey||t.ctrlKey||t.metaKey)){var e=this._map,r={originalEvent:t};if(!e.isEasing())switch(t.keyCode){case 61:case 107:case 171:case 187:e.zoomTo(Math.round(e.getZoom())+(t.shiftKey?2:1),r);break;case 189:case 109:case 173:e.zoomTo(Math.round(e.getZoom())-(t.shiftKey?2:1),r);break;case 37:t.shiftKey?e.easeTo({bearing:e.getBearing()-2},r):(t.preventDefault(),e.panBy([-80,0],r));break;case 39:t.shiftKey?e.easeTo({bearing:e.getBearing()+2},r):(t.preventDefault(),e.panBy([80,0],r));break;case 38:t.shiftKey?e.easeTo({pitch:e.getPitch()+5},r):(t.preventDefault(),e.panBy([0,-80],r));break;case 40:t.shiftKey?e.easeTo({pitch:Math.max(e.getPitch()-5,0)},r):(t.preventDefault(),e.panBy([0,80],r))}}}}},{}],400:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._el=t.getCanvasContainer(),o.bindHandlers(this)}var i=t(\"../../util/dom\"),a=t(\"../../util/browser\"),o=t(\"../../util/util\");e.exports=n;var s=\"undefined\"!=typeof navigator?navigator.userAgent.toLowerCase():\"\",l=s.indexOf(\"firefox\")!==-1,u=s.indexOf(\"safari\")!==-1&&s.indexOf(\"chrom\")===-1;n.prototype={_enabled:!1,isEnabled:function(){return this._enabled},enable:function(){this.isEnabled()||(this._el.addEventListener(\"wheel\",this._onWheel,!1),this._el.addEventListener(\"mousewheel\",this._onWheel,!1),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"wheel\",this._onWheel),this._el.removeEventListener(\"mousewheel\",this._onWheel),this._enabled=!1)},_onWheel:function(t){var e;\"wheel\"===t.type?(e=t.deltaY,l&&t.deltaMode===window.WheelEvent.DOM_DELTA_PIXEL&&(e/=a.devicePixelRatio),t.deltaMode===window.WheelEvent.DOM_DELTA_LINE&&(e*=40)):\"mousewheel\"===t.type&&(e=-t.wheelDeltaY,u&&(e/=3));var r=a.now(),n=r-(this._time||0);this._pos=i.mousePos(this._el,t),this._time=r,0!==e&&e%4.000244140625==0?(this._type=\"wheel\",e=Math.floor(e/4)):0!==e&&Math.abs(e)<4?this._type=\"trackpad\":n>400?(this._type=null,this._lastValue=e,this._timeout=setTimeout(this._onTimeout,40)):this._type||(this._type=Math.abs(n*e)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,e+=this._lastValue)),t.shiftKey&&e&&(e/=4),this._type&&this._zoom(-e,t),t.preventDefault()},_onTimeout:function(){this._type=\"wheel\",this._zoom(-this._lastValue)},_zoom:function(t,e){if(0!==t){var r=this._map,n=2/(1+Math.exp(-Math.abs(t/100)));t<0&&0!==n&&(n=1/n);var i=r.ease?r.ease.to:r.transform.scale,a=r.transform.scaleZoom(i*n);r.zoomTo(a,{duration:0,around:r.unproject(this._pos),delayEndEvents:200},{originalEvent:e})}}}},{\"../../util/browser\":408,\"../../util/dom\":410,\"../../util/util\":424}],401:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._el=t.getCanvasContainer(),a.bindHandlers(this)}var i=t(\"../../util/dom\"),a=t(\"../../util/util\");e.exports=n;var o=a.bezier(0,0,.15,1);n.prototype={_enabled:!1,isEnabled:function(){return this._enabled},enable:function(){this.isEnabled()||(this._el.addEventListener(\"touchstart\",this._onStart,!1),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"touchstart\",this._onStart),this._enabled=!1)},disableRotation:function(){this._rotationDisabled=!0},enableRotation:function(){this._rotationDisabled=!1},_onStart:function(t){if(2===t.touches.length){var e=i.mousePos(this._el,t.touches[0]),r=i.mousePos(this._el,t.touches[1]);this._startVec=e.sub(r),this._startScale=this._map.transform.scale,this._startBearing=this._map.transform.bearing,this._gestureIntent=void 0,this._inertia=[],document.addEventListener(\"touchmove\",this._onMove,!1),document.addEventListener(\"touchend\",this._onEnd,!1)}},_onMove:function(t){if(2===t.touches.length){var e=i.mousePos(this._el,t.touches[0]),r=i.mousePos(this._el,t.touches[1]),n=e.add(r).div(2),a=e.sub(r),o=a.mag()/this._startVec.mag(),s=this._rotationDisabled?0:180*a.angleWith(this._startVec)/Math.PI,l=this._map;if(this._gestureIntent){var u={duration:0,around:l.unproject(n)};\"rotate\"===this._gestureIntent&&(u.bearing=this._startBearing+s),\"zoom\"!==this._gestureIntent&&\"rotate\"!==this._gestureIntent||(u.zoom=l.transform.scaleZoom(this._startScale*o)),l.stop(),this._drainInertiaBuffer(),this._inertia.push([Date.now(),o,n]),l.easeTo(u,{originalEvent:t})}else{var c=Math.abs(1-o)>.15;Math.abs(s)>4?this._gestureIntent=\"rotate\":c&&(this._gestureIntent=\"zoom\"),this._gestureIntent&&(this._startVec=a,this._startScale=l.transform.scale,this._startBearing=l.transform.bearing)}t.preventDefault()}},_onEnd:function(t){document.removeEventListener(\"touchmove\",this._onMove),document.removeEventListener(\"touchend\",this._onEnd),this._drainInertiaBuffer();var e=this._inertia,r=this._map;if(e.length<2)return void r.snapToNorth({},{originalEvent:t});var n=e[e.length-1],i=e[0],a=r.transform.scaleZoom(this._startScale*n[1]),s=r.transform.scaleZoom(this._startScale*i[1]),l=a-s,u=(n[0]-i[0])/1e3,c=n[2];if(0===u||a===s)return void r.snapToNorth({},{originalEvent:t});var h=.15*l/u;Math.abs(h)>2.5&&(h=h>0?2.5:-2.5);var f=1e3*Math.abs(h/(12*.15)),d=a+h*f/2e3;d<0&&(d=0),r.easeTo({zoom:d,duration:f,easing:o,around:r.unproject(c)},{originalEvent:t})},_drainInertiaBuffer:function(){for(var t=this._inertia,e=Date.now();t.length>2&&e-t[0][0]>160;)t.shift()}}},{\"../../util/dom\":410,\"../../util/util\":424}],402:[function(t,e,r){\"use strict\";function n(){i.bindAll([\"_onHashChange\",\"_updateHash\"],this)}e.exports=n;var i=t(\"../util/util\");n.prototype={addTo:function(t){return this._map=t,window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},remove:function(){return window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),delete this._map,this},_onHashChange:function(){var t=location.hash.replace(\"#\",\"\").split(\"/\");return t.length>=3&&(this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:+(t[3]||0)}),!0)},_updateHash:function(){var t=this._map.getCenter(),e=this._map.getZoom(),r=this._map.getBearing(),n=Math.max(0,Math.ceil(Math.log(e)/Math.LN2)),i=\"#\"+Math.round(100*e)/100+\"/\"+t.lat.toFixed(n)+\"/\"+t.lng.toFixed(n)+(r?\"/\"+Math.round(10*r)/10:\"\");window.history.replaceState(\"\",\"\",i)}}},{\"../util/util\":424}],403:[function(t,e,r){\"use strict\";function n(t){t.parentNode&&t.parentNode.removeChild(t)}var i=t(\"../util/canvas\"),a=t(\"../util/util\"),o=t(\"../util/browser\"),s=t(\"../util/browser\").window,l=t(\"../util/evented\"),u=t(\"../util/dom\"),c=t(\"../style/style\"),h=t(\"../style/animation_loop\"),f=t(\"../render/painter\"),d=t(\"../geo/transform\"),p=t(\"./hash\"),m=t(\"./bind_handlers\"),g=t(\"./camera\"),v=t(\"../geo/lng_lat\"),y=t(\"../geo/lng_lat_bounds\"),b=t(\"point-geometry\"),x=t(\"./control/attribution\"),_={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:0,maxZoom:20,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,bearingSnap:7,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,workerCount:Math.max(o.hardwareConcurrency-1,1)},w=e.exports=function(t){if(t=a.extend({},_,t),t.workerCount<1)throw new Error(\"workerCount must an integer greater than or equal to 1.\");this._interactive=t.interactive,this._failIfMajorPerformanceCaveat=t.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=t.preserveDrawingBuffer,this._trackResize=t.trackResize,this._workerCount=t.workerCount,this._bearingSnap=t.bearingSnap,\"string\"==typeof t.container?this._container=document.getElementById(t.container):this._container=t.container,this.animationLoop=new h,this.transform=new d(t.minZoom,t.maxZoom),t.maxBounds&&this.setMaxBounds(t.maxBounds),a.bindAll([\"_forwardStyleEvent\",\"_forwardSourceEvent\",\"_forwardLayerEvent\",\"_forwardTileEvent\",\"_onStyleLoad\",\"_onStyleChange\",\"_onSourceAdd\",\"_onSourceRemove\",\"_onSourceUpdate\",\"_onWindowOnline\",\"_onWindowResize\",\"_update\",\"_render\"],this),this._setupContainer(),this._setupPainter(),this.on(\"move\",this._update.bind(this,!1)),this.on(\"zoom\",this._update.bind(this,!0)),this.on(\"moveend\",function(){this.animationLoop.set(300),this._rerender()}.bind(this)),void 0!==s&&(s.addEventListener(\"online\",this._onWindowOnline,!1),s.addEventListener(\"resize\",this._onWindowResize,!1)),m(this,t),this._hash=t.hash&&(new p).addTo(this),this._hash&&this._hash._onHashChange()||this.jumpTo({center:t.center,zoom:t.zoom,bearing:t.bearing,pitch:t.pitch}),this.stacks={},this._classes=[],this.resize(),t.classes&&this.setClasses(t.classes),t.style&&this.setStyle(t.style),t.attributionControl&&this.addControl(new x(t.attributionControl));var e=this.fire.bind(this,\"error\");this.on(\"style.error\",e),this.on(\"source.error\",e),this.on(\"tile.error\",e),this.on(\"layer.error\",e)};a.extend(w.prototype,l),a.extend(w.prototype,g.prototype),a.extend(w.prototype,{addControl:function(t){return t.addTo(this),this},addClass:function(t,e){return this._classes.indexOf(t)>=0||\"\"===t?this:(this._classes.push(t),this._classOptions=e,this.style&&this.style.updateClasses(),this._update(!0))},removeClass:function(t,e){var r=this._classes.indexOf(t);return r<0||\"\"===t?this:(this._classes.splice(r,1),this._classOptions=e,this.style&&this.style.updateClasses(),this._update(!0))},setClasses:function(t,e){for(var r={},n=0;n<t.length;n++)\"\"!==t[n]&&(r[t[n]]=!0);return this._classes=Object.keys(r),this._classOptions=e,this.style&&this.style.updateClasses(),this._update(!0)},hasClass:function(t){return this._classes.indexOf(t)>=0},getClasses:function(){return this._classes},resize:function(){var t=0,e=0;return this._container&&(t=this._container.offsetWidth||400,e=this._container.offsetHeight||300),this._canvas.resize(t,e),this.transform.resize(t,e),this.painter.resize(t,e),this.fire(\"movestart\").fire(\"move\").fire(\"resize\").fire(\"moveend\")},getBounds:function(){var t=new y(this.transform.pointLocation(new b(0,0)),this.transform.pointLocation(this.transform.size));return(this.transform.angle||this.transform.pitch)&&(t.extend(this.transform.pointLocation(new b(this.transform.size.x,0))),t.extend(this.transform.pointLocation(new b(0,this.transform.size.y)))),t},setMaxBounds:function(t){if(t){var e=y.convert(t);this.transform.lngRange=[e.getWest(),e.getEast()],this.transform.latRange=[e.getSouth(),e.getNorth()],this.transform._constrain(),this._update()}else null!==t&&void 0!==t||(this.transform.lngRange=[],this.transform.latRange=[],this._update());return this},setMinZoom:function(t){if((t=null===t||void 0===t?0:t)>=0&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between 0 and the current maxZoom, inclusive\")},setMaxZoom:function(t){if((t=null===t||void 0===t?20:t)>=this.transform.minZoom&&t<=20)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be between the current minZoom and 20, inclusive\")},project:function(t){return this.transform.locationPoint(v.convert(t))},unproject:function(t){return this.transform.pointLocation(b.convert(t))},queryRenderedFeatures:function(){var t,e={};return 2===arguments.length?(t=arguments[0],e=arguments[1]):1===arguments.length&&function(t){return t instanceof b||Array.isArray(t)}(arguments[0])?t=arguments[0]:1===arguments.length&&(e=arguments[0]),this.style.queryRenderedFeatures(this._makeQueryGeometry(t),e,this.transform.zoom,this.transform.angle)},_makeQueryGeometry:function(t){void 0===t&&(t=[b.convert([0,0]),b.convert([this.transform.width,this.transform.height])]);var e;if(t instanceof b||\"number\"==typeof t[0])e=[b.convert(t)];else{var r=[b.convert(t[0]),b.convert(t[1])];e=[r[0],new b(r[1].x,r[0].y),r[1],new b(r[0].x,r[1].y),r[0]]}return e=e.map(function(t){return this.transform.pointCoordinate(t)}.bind(this))},querySourceFeatures:function(t,e){return this.style.querySourceFeatures(t,e)},setStyle:function(t){return this.style&&(this.style.off(\"load\",this._onStyleLoad).off(\"error\",this._forwardStyleEvent).off(\"change\",this._onStyleChange).off(\"source.add\",this._onSourceAdd).off(\"source.remove\",this._onSourceRemove).off(\"source.load\",this._onSourceUpdate).off(\"source.error\",this._forwardSourceEvent).off(\"source.change\",this._onSourceUpdate).off(\"layer.add\",this._forwardLayerEvent).off(\"layer.remove\",this._forwardLayerEvent).off(\"layer.error\",this._forwardLayerEvent).off(\"tile.add\",this._forwardTileEvent).off(\"tile.remove\",this._forwardTileEvent).off(\"tile.load\",this._update).off(\"tile.error\",this._forwardTileEvent).off(\"tile.stats\",this._forwardTileEvent)._remove(),this.off(\"rotate\",this.style._redoPlacement),this.off(\"pitch\",this.style._redoPlacement)),t?(this.style=t instanceof c?t:new c(t,this.animationLoop,this._workerCount),this.style.on(\"load\",this._onStyleLoad).on(\"error\",this._forwardStyleEvent).on(\"change\",this._onStyleChange).on(\"source.add\",this._onSourceAdd).on(\"source.remove\",this._onSourceRemove).on(\"source.load\",this._onSourceUpdate).on(\"source.error\",this._forwardSourceEvent).on(\"source.change\",this._onSourceUpdate).on(\"layer.add\",this._forwardLayerEvent).on(\"layer.remove\",this._forwardLayerEvent).on(\"layer.error\",this._forwardLayerEvent).on(\"tile.add\",this._forwardTileEvent).on(\"tile.remove\",this._forwardTileEvent).on(\"tile.load\",this._update).on(\"tile.error\",this._forwardTileEvent).on(\"tile.stats\",this._forwardTileEvent),this.on(\"rotate\",this.style._redoPlacement),this.on(\"pitch\",this.style._redoPlacement),this):(this.style=null,this)},getStyle:function(){if(this.style)return this.style.serialize()},addSource:function(t,e){return this.style.addSource(t,e),this._update(!0),this},addSourceType:function(t,e,r){return this.style.addSourceType(t,e,r)},removeSource:function(t){return this.style.removeSource(t),this._update(!0),this},getSource:function(t){return this.style.getSource(t)},addLayer:function(t,e){return this.style.addLayer(t,e),this._update(!0),this},removeLayer:function(t){return this.style.removeLayer(t),this._update(!0),this},getLayer:function(t){return this.style.getLayer(t)},setFilter:function(t,e){return this.style.setFilter(t,e),this._update(!0),this},setLayerZoomRange:function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0),this},getFilter:function(t){return this.style.getFilter(t)},setPaintProperty:function(t,e,r,n){return this.style.setPaintProperty(t,e,r,n),this._update(!0),this},getPaintProperty:function(t,e,r){return this.style.getPaintProperty(t,e,r)},setLayoutProperty:function(t,e,r){return this.style.setLayoutProperty(t,e,r),this._update(!0),this},getLayoutProperty:function(t,e){return this.style.getLayoutProperty(t,e)},getContainer:function(){return this._container},getCanvasContainer:function(){return this._canvasContainer},getCanvas:function(){return this._canvas.getElement()},_setupContainer:function(){var t=this._container;t.classList.add(\"mapboxgl-map\");var e=this._canvasContainer=u.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=new i(this,e);var r=this._controlContainer=u.create(\"div\",\"mapboxgl-control-container\",t),n=this._controlCorners={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach(function(t){n[t]=u.create(\"div\",\"mapboxgl-ctrl-\"+t,r)})},_setupPainter:function(){var t=this._canvas.getWebGLContext({failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer});if(!t)return void this.fire(\"error\",{error:new Error(\"Failed to initialize WebGL\")});this.painter=new f(t,this.transform)},_contextLost:function(t){t.preventDefault(),this._frameId&&o.cancelFrame(this._frameId),this.fire(\"webglcontextlost\",{originalEvent:t})},_contextRestored:function(t){this._setupPainter(),this.resize(),this._update(),this.fire(\"webglcontextrestored\",{originalEvent:t})},loaded:function(){return!this._styleDirty&&!this._sourcesDirty&&!(!this.style||!this.style.loaded())},_update:function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this._rerender(),this):this},_render:function(){try{this.style&&this._styleDirty&&(this._styleDirty=!1,this.style.update(this._classes,this._classOptions),this._classOptions=null,this.style._recalculate(this.transform.zoom)),this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this.painter.render(this.style,{debug:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,vertices:this.vertices,rotating:this.rotating,zooming:this.zooming}),this.fire(\"render\"),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(\"load\")),this._frameId=null,this.animationLoop.stopped()||(this._styleDirty=!0),(this._sourcesDirty||this._repaint||this._styleDirty)&&this._rerender()}catch(t){this.fire(\"error\",{error:t})}return this},remove:function(){this._hash&&this._hash.remove(),o.cancelFrame(this._frameId),this.setStyle(null),void 0!==s&&s.removeEventListener(\"resize\",this._onWindowResize,!1);var t=this.painter.gl.getExtension(\"WEBGL_lose_context\");t&&t.loseContext(),n(this._canvasContainer),n(this._controlContainer),this._container.classList.remove(\"mapboxgl-map\")},_rerender:function(){this.style&&!this._frameId&&(this._frameId=o.frame(this._render))},_forwardStyleEvent:function(t){this.fire(\"style.\"+t.type,a.extend({style:t.target},t))},_forwardSourceEvent:function(t){this.fire(t.type,a.extend({style:t.target},t))},_forwardLayerEvent:function(t){this.fire(t.type,a.extend({style:t.target},t))},_forwardTileEvent:function(t){this.fire(t.type,a.extend({style:t.target},t))},_onStyleLoad:function(t){this.transform.unmodified&&this.jumpTo(this.style.stylesheet),this.style.update(this._classes,{transition:!1}),this._forwardStyleEvent(t)},_onStyleChange:function(t){this._update(!0),this._forwardStyleEvent(t)},_onSourceAdd:function(t){var e=t.source;e.onAdd&&e.onAdd(this),this._forwardSourceEvent(t)},_onSourceRemove:function(t){var e=t.source;e.onRemove&&e.onRemove(this),this._forwardSourceEvent(t)},_onSourceUpdate:function(t){this._update(),this._forwardSourceEvent(t)},_onWindowOnline:function(){this._update()},_onWindowResize:function(){this._trackResize&&this.stop().resize()._update()}}),a.extendAll(w.prototype,{_showTileBoundaries:!1,get showTileBoundaries(){return this._showTileBoundaries},set showTileBoundaries(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},_showCollisionBoxes:!1,get showCollisionBoxes(){return this._showCollisionBoxes},set showCollisionBoxes(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,this.style._redoPlacement())},_showOverdrawInspector:!1,get showOverdrawInspector(){return this._showOverdrawInspector},set showOverdrawInspector(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},_repaint:!1,get repaint(){return this._repaint},set repaint(t){this._repaint=t,this._update()},_vertices:!1,get vertices(){return this._vertices},set vertices(t){this._vertices=t,this._update()}})},{\"../geo/lng_lat\":321,\"../geo/lng_lat_bounds\":322,\"../geo/transform\":323,\"../render/painter\":337,\"../style/animation_loop\":357,\"../style/style\":360,\"../util/browser\":408,\"../util/canvas\":409,\"../util/dom\":410,\"../util/evented\":416,\"../util/util\":424,\"./bind_handlers\":389,\"./camera\":390,\"./control/attribution\":391,\"./hash\":402,\"point-geometry\":465}],404:[function(t,e,r){\"use strict\";function n(t,e){t||(t=i.create(\"div\")),t.classList.add(\"mapboxgl-marker\"),this._el=t,this._offset=o.convert(e&&e.offset||[0,0]),this._update=this._update.bind(this)}e.exports=n;var i=t(\"../util/dom\"),a=t(\"../geo/lng_lat\"),o=t(\"point-geometry\");n.prototype={addTo:function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._el),t.on(\"move\",this._update),this._update(),this},remove:function(){this._map&&(this._map.off(\"move\",this._update),this._map=null);var t=this._el.parentNode;return t&&t.removeChild(this._el),this},getLngLat:function(){return this._lngLat},setLngLat:function(t){return this._lngLat=a.convert(t),this._update(),this},getElement:function(){return this._el},_update:function(){if(this._map){var t=this._map.project(this._lngLat)._add(this._offset);i.setTransform(this._el,\"translate(\"+t.x+\"px,\"+t.y+\"px)\")}}}},{\"../geo/lng_lat\":321,\"../util/dom\":410,\"point-geometry\":465}],405:[function(t,e,r){\"use strict\";function n(t){i.setOptions(this,t),i.bindAll([\"_update\",\"_onClickClose\"],this)}e.exports=n;var i=t(\"../util/util\"),a=t(\"../util/evented\"),o=t(\"../util/dom\"),s=t(\"../geo/lng_lat\");n.prototype=i.inherit(a,{options:{closeButton:!0,closeOnClick:!0},addTo:function(t){return this._map=t,this._map.on(\"move\",this._update),this.options.closeOnClick&&this._map.on(\"click\",this._onClickClose),this._update(),this},remove:function(){\n",
       "return this._content&&this._content.parentNode&&this._content.parentNode.removeChild(this._content),this._container&&(this._container.parentNode.removeChild(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"click\",this._onClickClose),delete this._map),this.fire(\"close\"),this},getLngLat:function(){return this._lngLat},setLngLat:function(t){return this._lngLat=s.convert(t),this._update(),this},setText:function(t){return this.setDOMContent(document.createTextNode(t))},setHTML:function(t){var e,r=document.createDocumentFragment(),n=document.createElement(\"body\");for(n.innerHTML=t;;){if(!(e=n.firstChild))break;r.appendChild(e)}return this.setDOMContent(r)},setDOMContent:function(t){return 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t=0;t<this.actors.length;t++)this.actors[t].target.terminate();this.actors=[]}}},{\"./actor\":406,\"./util\":424,\"./web_worker\":411}],416:[function(t,e,r){\"use strict\";var n=t(\"./util\"),i={on:function(t,e){return this._events=this._events||{},this._events[t]=this._events[t]||[],this._events[t].push(e),this},off:function(t,e){if(!t)return delete this._events,this;if(!this.listens(t))return this;if(e){var r=this._events[t].indexOf(e);r>=0&&this._events[t].splice(r,1),this._events[t].length||delete this._events[t]}else delete this._events[t];return this},once:function(t,e){var r=function(n){this.off(t,r),e.call(this,n)}.bind(this);return this.on(t,r),this},fire:function(t,e){if(!this.listens(t))return n.endsWith(t,\"error\")&&console.error(e&&e.error||e||\"Empty error event\"),this;e=n.extend({},e),n.extend(e,{type:t,target:this});for(var r=this._events[t].slice(),i=0;i<r.length;i++)r[i].call(this,e);return this},listens:function(t){return!(!this._events||!this._events[t])}};e.exports=i},{\"./util\":424}],417:[function(t,e,r){\"use strict\";function n(t,e){this.stacks=t.readFields(i,[],e)}function i(t,e,r){if(1===t){var n=r.readMessage(a,{glyphs:{}});e.push(n)}}function a(t,e,r){if(1===t)e.name=r.readString();else if(2===t)e.range=r.readString();else if(3===t){var n=r.readMessage(o,{});e.glyphs[n.id]=n}}function o(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}e.exports=n},{}],418:[function(t,e,r){\"use strict\";function n(t,e,r){return t*(1-r)+e*r}e.exports=n,n.number=n,n.vec2=function(t,e,r){return[n(t[0],e[0],r),n(t[1],e[1],r)]},n.color=function(t,e,r){return[n(t[0],e[0],r),n(t[1],e[1],r),n(t[2],e[2],r),n(t[3],e[3],r)]},n.array=function(t,e,r){return t.map(function(t,i){return n(t,e[i],r)})}},{}],419:[function(t,e,r){\"use 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n=e.unit,i=e.target;n>=0&&(t.activeTexture(un+n),t.bindTexture(i,null),rt[n]=null),t.deleteTexture(r),e.texture=null,e.params=null,e.pixels=null,e.refCount=0,delete tt[e.id],a.textureCount--}function C(e,n){function i(t,e){var n=c.texInfo;M.call(n);var a=_();return\"number\"==typeof t?\"number\"==typeof e?y(a,0|t,0|e):y(a,0|t,0|t):t?(de.type(t,\"object\",\"invalid arguments to regl.texture\"),k(n,t),b(a,t)):y(a,1,1),n.genMipmaps&&(a.mipmask=(a.width<<1)-1),c.mipmask=a.mipmask,l(c,a),de.texture2D(n,a,r),c.internalformat=a.internalformat,i.width=a.width,i.height=a.height,S(c),x(a,nr),A(n,nr),E(),w(a),o.profile&&(c.stats.size=Ct(c.internalformat,c.type,a.width,a.height,n.genMipmaps,!1)),i.format=q[c.internalformat],i.type=G[c.type],i.mag=Y[n.magFilter],i.min=W[n.minFilter],i.wrapS=X[n.wrapS],i.wrapT=X[n.wrapT],i}function s(t,e,r,n){de(!!t,\"must specify image data\");var a=0|e,o=0|r,s=0|n,u=m();return 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c,h=C.texInfo;for(M.call(h),c=0;c<6;++c)z[c]=_();if(\"number\"!=typeof t&&t)if(\"object\"==typeof t)if(e)b(z[0],t),b(z[1],e),b(z[2],n),b(z[3],i),b(z[4],a),b(z[5],s);else if(k(h,t),u(C,t),\"faces\"in t){var f=t.faces;for(de(Array.isArray(f)&&6===f.length,\"cube faces must be a length 6 array\"),c=0;c<6;++c)de(\"object\"==typeof f[c]&&!!f[c],\"invalid input for cube map face\"),l(z[c],C),b(z[c],f[c])}else for(c=0;c<6;++c)b(z[c],t);else de.raise(\"invalid arguments to cube map\");else{var p=0|t||1;for(c=0;c<6;++c)y(z[c],p,p)}for(l(C,z[0]),h.genMipmaps?C.mipmask=(z[0].width<<1)-1:C.mipmask=z[0].mipmask,de.textureCube(C,h,z,r),C.internalformat=z[0].internalformat,d.width=z[0].width,d.height=z[0].height,S(C),c=0;c<6;++c)x(z[c],ar+c);for(A(h,ir),E(),o.profile&&(C.stats.size=Ct(C.internalformat,C.type,d.width,d.height,h.genMipmaps,!0)),d.format=q[C.internalformat],d.type=G[C.type],d.mag=Y[h.magFilter],d.min=W[h.minFilter],d.wrapS=X[h.wrapS],d.wrapT=X[h.wrapT],c=0;c<6;++c)w(z[c]);return 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o=r.points[n[a]];i.push(o.numPoints?s(o):this.points[o.id])}return i},getChildren:function(t,e){for(var r=this.trees[e+1].points[t],n=this.options.radius/(this.options.extent*Math.pow(2,e)),i=this.trees[e+1].within(r.x,r.y,n),a=[],o=0;o<i.length;o++){var l=this.trees[e+1].points[i[o]];l.parentId===t&&a.push(l.numPoints?s(l):this.points[l.id])}return a},getLeaves:function(t,e,r,n){r=r||10,n=n||0;var i=[];return this._appendLeaves(i,t,e,r,n,0),i},getTile:function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options.extent,o=this.options.radius,s=o/a,l=(r-s)/i,u=(r+1+s)/i,c={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,u),n.points,e,r,i,c),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,u),n.points,i,r,i,c),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,u),n.points,-1,r,i,c),c.features.length?c:null},getClusterExpansionZoom:function(t,e){for(;e<this.options.maxZoom;){var r=this.getChildren(t,e);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},_appendLeaves:function(t,e,r,n,i,a){for(var o=this.getChildren(e,r),s=0;s<o.length;s++){var l=o[s].properties;if(l.cluster?a+l.point_count<=i?a+=l.point_count:a=this._appendLeaves(t,l.cluster_id,r+1,n,i,a):a<i?a++:t.push(o[s]),t.length===n)break}return a},_addTileFeatures:function(t,e,r,n,i,a){for(var o=0;o<t.length;o++){var s=e[t[o]];a.features.push({type:1,geometry:[[Math.round(this.options.extent*(s.x*i-r)),Math.round(this.options.extent*(s.y*i-n))]],tags:s.numPoints?l(s):this.points[s.id].properties})}},_limitZoom:function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},_cluster:function(t,e){for(var r=[],n=this.options.radius/(this.options.extent*Math.pow(2,e)),i=0;i<t.length;i++){var o=t[i];if(!(o.zoom<=e)){o.zoom=e;var s=this.trees[e+1],l=s.within(o.x,o.y,n),u=o.numPoints||1,c=o.x*u,h=o.y*u,f=null;this.options.reduce&&(f=this.options.initial(),this._accumulate(f,o));for(var d=0;d<l.length;d++){var p=s.points[l[d]];if(e<p.zoom){var m=p.numPoints||1;p.zoom=e,c+=p.x*m,h+=p.y*m,u+=m,p.parentId=i,this.options.reduce&&this._accumulate(f,p)}}1===u?r.push(o):(o.parentId=i,r.push(a(c/u,h/u,u,i,f)))}}return r},_accumulate:function(t,e){var r=e.numPoints?e.properties:this.options.map(this.points[e.id].properties);this.options.reduce(t,r)}}},{kdbush:280}],510:[function(t,e,r){\"use strict\";function n(t){return t.split(\"\").map(function(t){return t in i?i[t]:\"\"}).join(\"\")}e.exports=n;var i={\" \":\" 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u=0;u<1<<r;++u)a.push(\"p\"+u),l.push(\"p\"+u);a.push(\"a\",\"b\",\"c\"),l.push(\"a\",\"c\"),n.push(\"vertex:function vertexFunc(\",a.join(),\"){\");for(var c=[],u=0;u<1<<r;++u)c.push(\"(p\"+u+\"<<\"+u+\")\");n.push(\"var m=(\",c.join(\"+\"),\")|0;if(m===0||m===\",(1<<(1<<r))-1,\"){return}\");var h=[],f=[];1<<(1<<r)<=128?(n.push(\"switch(m){\"),f=n):n.push(\"switch(m>>>7){\");for(var u=0;u<1<<(1<<r);++u){if(1<<(1<<r)>128&&u%128==0){h.length>0&&f.push(\"}}\");var d=\"vExtra\"+h.length;n.push(\"case \",u>>>7,\":\",d,\"(m&0x7f,\",l.join(),\");break;\"),f=[\"function \",d,\"(m,\",l.join(),\"){switch(m){\"],h.push(f)}f.push(\"case \",127&u,\":\");for(var p=new Array(r),m=new Array(r),g=new Array(r),v=new Array(r),y=0,b=0;b<r;++b)p[b]=[],m[b]=[],g[b]=0,v[b]=0;for(var b=0;b<1<<r;++b)for(var x=0;x<r;++x){var _=b^1<<x;if(!(_>b)&&!(u&1<<_)!=!(u&1<<b)){var w=1;u&1<<_?m[x].push(\"v\"+_+\"-v\"+b):(m[x].push(\"v\"+b+\"-v\"+_),w=-w),w<0?(p[x].push(\"-v\"+b+\"-v\"+_),g[x]+=2):(p[x].push(\"v\"+b+\"+v\"+_),g[x]-=2),y+=1;for(var M=0;M<r;++M)M!==x&&(_&1<<M?v[M]+=1:v[M]-=1)}}for(var k=[],x=0;x<r;++x)if(0===p[x].length)k.push(\"d\"+x+\"-0.5\");else{var A=\"\";g[x]<0?A=g[x]+\"*c\":g[x]>0&&(A=\"+\"+g[x]+\"*c\");var T=p[x].length/y*.5,S=.5+v[x]/y*.5;k.push(\"d\"+x+\"-\"+S+\"-\"+T+\"*(\"+p[x].join(\"+\")+A+\")/(\"+m[x].join(\"+\")+\")\")}f.push(\"a.push([\",k.join(),\"]);\",\"break;\")}n.push(\"}},\"),h.length>0&&f.push(\"}}\");for(var E=[],u=0;u<1<<r-1;++u)E.push(\"v\"+u);E.push(\"c0\",\"c1\",\"p0\",\"p1\",\"a\",\"b\",\"c\"),n.push(\"cell:function cellFunc(\",E.join(),\"){\");var L=s(r-1);n.push(\"if(p0){b.push(\",L.map(function(t){return\"[\"+t.map(function(t){return\"v\"+t})+\"]\"}).join(),\")}else{b.push(\",L.map(function(t){var e=t.slice();return e.reverse(),\"[\"+e.map(function(t){return\"v\"+t})+\"]\"}).join(),\")}}});function \",i,\"(array,level){var verts=[],cells=[];contour(array,verts,cells,level);return {positions:verts,cells:cells};} return \",i,\";\");for(var u=0;u<h.length;++u)n.push(h[u].join(\"\"));return new Function(\"genContour\",n.join(\"\"))(o)}function i(t,e){for(var r=l(t,e),n=r.length,i=new Array(n),a=new Array(n),o=0;o<n;++o)i[o]=[r[o]],a[o]=[o];return{positions:i,cells:a}}function a(t,e){if(t.dimension<=0)return{positions:[],cells:[]};if(1===t.dimension)return i(t,e);var r=t.order.join()+\"-\"+t.dtype,a=u[r],e=+e||0;return a||(a=u[r]=n(t.order,t.dtype)),a(t,e)}e.exports=a;var o=t(\"ndarray-extract-contour\"),s=t(\"triangulate-hypercube\"),l=t(\"zero-crossings\"),u={}},{\"ndarray-extract-contour\":438,\"triangulate-hypercube\":517,\"zero-crossings\":564}],512:[function(t,e,r){(function(r){\"use strict\";function n(t){for(var e=t.cells,r=t.positions,n=new Float32Array(6*e.length),i=0,a=0,o=0;o<e.length;++o)for(var s=e[o],l=0;l<3;++l){var u=r[s[l]];n[i++]=u[0],n[i++]=u[1]+1.4,a=Math.max(u[0],a)}return{data:n,shape:a}}function i(t,e,r){var r=r||{},o=s[t];o||(o=s[t]={\" \":{data:new Float32Array(0),shape:.2}});var l=o[e];if(!l)if(e.length<=1||!/\\d/.test(e))l=o[e]=n(a(e,{triangles:!0,font:t,textAlign:r.textAlign||\"left\",textBaseline:\"alphabetic\"}));else{for(var u=e.split(/(\\d|\\s)/),c=new Array(u.length),h=0,f=0,d=0;d<u.length;++d)c[d]=i(t,u[d]),h+=c[d].data.length,f+=c[d].shape,d>0&&(f+=.02);for(var p=new Float32Array(h),m=0,g=-.5*f,d=0;d<c.length;++d){for(var v=c[d].data,y=0;y<v.length;y+=2)p[m++]=v[y]+g,p[m++]=v[y+1];g+=c[d].shape+.02}l=o[e]={data:p,shape:f}}return l}e.exports=i;var a=t(\"vectorize-text\"),o=window||r.global||{},s=o.__TEXT_CACHE||{};o.__TEXT_CACHE={}}).call(this,t(\"_process\"))},{_process:468,\"vectorize-text\":534}],513:[function(t,e,r){\"use strict\";function n(t,e,r,n,i){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||\"sans-serif\",this.radius=r||8;var a=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=a,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=t+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(a*a),this.gridInner=new Float64Array(a*a),this.f=new Float64Array(a),this.d=new Float64Array(a),this.z=new Float64Array(a+1),this.v=new Int16Array(a),this.middle=Math.round(a/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function i(t,e,r,n,i,o,s){for(var l=0;l<e;l++){for(var u=0;u<r;u++)n[u]=t[u*e+l];for(a(n,i,o,s,r),u=0;u<r;u++)t[u*e+l]=i[u]}for(u=0;u<r;u++){for(l=0;l<e;l++)n[l]=t[u*e+l];for(a(n,i,o,s,e),l=0;l<e;l++)t[u*e+l]=Math.sqrt(i[l])}}function a(t,e,r,n,i){r[0]=0,n[0]=-o,n[1]=+o;for(var a=1,s=0;a<i;a++){for(var l=(t[a]+a*a-(t[r[s]]+r[s]*r[s]))/(2*a-2*r[s]);l<=n[s];)s--,l=(t[a]+a*a-(t[r[s]]+r[s]*r[s]))/(2*a-2*r[s]);s++,r[s]=a,n[s]=l,n[s+1]=+o}for(a=0,s=0;a<i;a++){for(;n[s+1]<a;)s++;e[a]=(a-r[s])*(a-r[s])+t[r[s]]}}e.exports=n;var o=1e20;n.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=e.data,n=0;n<this.size*this.size;n++){var a=r[4*n+3]/255;this.gridOuter[n]=1===a?0:0===a?o:Math.pow(Math.max(0,.5-a),2),this.gridInner[n]=1===a?o:0===a?0:Math.pow(Math.max(0,a-.5),2)}for(i(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),i(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var s=this.gridOuter[n]-this.gridInner[n],l=Math.max(0,Math.min(255,Math.round(255-255*(s/this.radius+this.cutoff))));r[4*n+0]=l,r[4*n+1]=l,r[4*n+2]=l,r[4*n+3]=255}return e}},{}],514:[function(e,r,n){!function(e){function 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e=this._validate(t,this.minMonth,this.minDay,i.local.invalidYear),t=e.year()+(e.year()<0?1:0);return t%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,i.local.invalidYear||i.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,i.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidDate);return t=n.year(),t<0&&t++,n.day()+30*(n.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return 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this._validate(t,this.minMonth,this.minDay,i.local.invalidYear),13},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,i.local.invalidYear),400},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/8)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,i.local.invalidMonth);return this.daysPerMonth[r.month()-1]},daysInWeek:function(){return 8},dayOfWeek:function(t,e,r){return(this._validate(t,e,r,i.local.invalidDate).day()+1)%8},weekDay:function(t,e,r){var n=this.dayOfWeek(t,e,r);return n>=2&&n<=6},extraInfo:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidDate);return{century:o[Math.floor((n.year()-1)/100)+1]||\"\"}},toJD:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidDate);return t=n.year()+(n.year()<0?1:0),e=n.month(),(r=n.day())+(e>1?16:0)+(e>2?32*(e-2):0)+400*(t-1)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t+.5)-Math.floor(this.jdEpoch)-1;var e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};i.calendars.discworld=n},{\"../main\":561,\"object-assign\":452}],550:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}var i=t(\"../main\"),a=t(\"object-assign\");n.prototype=new 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this._validate(t,this.minMonth,this.minDay,i.local.invalidYear||i.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,i.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidDate);return t=n.year(),t<0&&t++,n.day()+30*(n.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return this.newDate(r,n,i)}}),i.calendars.ethiopian=n},{\"../main\":561,\"object-assign\":452}],551:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function i(t,e){return t-e*Math.floor(t/e)}var a=t(\"../main\"),o=t(\"object-assign\");n.prototype=new a.baseCalendar,o(n.prototype,{name:\"Hebrew\",jdEpoch:347995.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29,29],hasYearZero:!1,minMonth:1,firstMonth:7,minDay:1,regionalOptions:{\"\":{name:\"Hebrew\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Nisan\",\"Iyar\",\"Sivan\",\"Tammuz\",\"Av\",\"Elul\",\"Tishrei\",\"Cheshvan\",\"Kislev\",\"Tevet\",\"Shevat\",\"Adar\",\"Adar II\"],monthNamesShort:[\"Nis\",\"Iya\",\"Siv\",\"Tam\",\"Av\",\"Elu\",\"Tis\",\"Che\",\"Kis\",\"Tev\",\"She\",\"Ada\",\"Ad2\"],dayNames:[\"Yom Rishon\",\"Yom Sheni\",\"Yom Shlishi\",\"Yom Revi'i\",\"Yom Chamishi\",\"Yom Shishi\",\"Yom 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       ";return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return t=this._validate(t,this.minMonth,this.minDay,a.local.invalidYear).year(),this.toJD(t===-1?1:t+1,7,1)-this.toJD(t,7,1)},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,a.local.invalidMonth),12===e&&this.leapYear(t)?30:8===e&&5===i(this.daysInYear(t),10)?30:9===e&&3===i(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var n=this._validate(t,e,r,a.local.invalidDate);return{yearType:(this.leapYear(n)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(n)%10-3]}},toJD:function(t,e,r){var n=this._validate(t,e,r,a.local.invalidDate);t=n.year(),e=n.month(),r=n.day();var i=t<=0?t+1:t,o=this.jdEpoch+this._delay1(i)+this._delay2(i)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(var s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(var s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return i(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(e===-1?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),a.calendars.hebrew=n},{\"../main\":561,\"object-assign\":452}],552:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}var i=t(\"../main\"),a=t(\"object-assign\");n.prototype=new i.baseCalendar,a(n.prototype,{name:\"Islamic\",jdEpoch:1948439.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Islamic\",epochs:[\"BH\",\"AH\"],monthNames:[\"Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' al-thani\",\"Jumada al-awwal\",\"Jumada al-thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-ahad\",\"Yawm al-ithnayn\",\"Yawm ath-thulaathaa'\",\"Yawm al-arbi'aa'\",\"Yawm al-kham\\u012bs\",\"Yawm al-jum'a\",\"Yawm as-sabt\"],dayNamesShort:[\"Aha\",\"Ith\",\"Thu\",\"Arb\",\"Kha\",\"Jum\",\"Sab\"],dayNamesMin:[\"Ah\",\"It\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!1}},leapYear:function(t){return(11*this._validate(t,this.minMonth,this.minDay,i.local.invalidYear).year()+14)%30<11},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return this.leapYear(t)?355:354},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,i.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidDate);return t=n.year(),e=n.month(),r=n.day(),t=t<=0?t+1:t,r+Math.ceil(29.5*(e-1))+354*(t-1)+Math.floor((3+11*t)/30)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t)+.5;var e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),i.calendars.islamic=n},{\"../main\":561,\"object-assign\":452}],553:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}var i=t(\"../main\"),a=t(\"object-assign\");n.prototype=new i.baseCalendar,a(n.prototype,{name:\"Julian\",jdEpoch:1721423.5,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Julian\",epochs:[\"BC\",\"AD\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"mm/dd/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,i.local.invalidYear),t=e.year()<0?e.year()+1:e.year();return t%4==0},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,i.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidDate);return t=n.year(),e=n.month(),r=n.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5),r=e+1524,n=Math.floor((r-122.1)/365.25),i=Math.floor(365.25*n),a=Math.floor((r-i)/30.6001),o=a-Math.floor(a<14?1:13),s=n-Math.floor(o>2?4716:4715),l=r-i-Math.floor(30.6001*a);return s<=0&&s--,this.newDate(s,o,l)}}),i.calendars.julian=n},{\"../main\":561,\"object-assign\":452}],554:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function i(t,e){return t-e*Math.floor(t/e)}function a(t,e){return 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this._validate(t,this.minMonth,this.minDay,o.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,o.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if(t=t.split(\".\"),t.length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,o.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,o.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,o.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,o.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,o.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,o.local.invalidDate),!0},extraInfo:function(t,e,r){var n=this._validate(t,e,r,o.local.invalidDate),i=n.toJD(),a=this._toHaab(i),s=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[s[0]-1],tzolkinDay:s[0],tzolkinTrecena:s[1]}},_toHaab:function(t){t-=this.jdEpoch;var e=i(t+8+340,365);return[Math.floor(e/20)+1,i(e,20)]},_toTzolkin:function(t){return t-=this.jdEpoch,[a(t+20,20),a(t+4,13)]},toJD:function(t,e,r){var n=this._validate(t,e,r,o.local.invalidDate);return n.day()+20*n.month()+360*n.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),o.calendars.mayan=n},{\"../main\":561,\"object-assign\":452}],555:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}var i=t(\"../main\"),a=t(\"object-assign\");n.prototype=new i.baseCalendar;var o=i.instance(\"gregorian\");a(n.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,i.local.invalidYear||i.regionalOptions[\"\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,i.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidMonth),t=n.year();t<0&&t++;for(var a=n.day(),s=1;s<n.month();s++)a+=this.daysPerMonth[s-1];return a+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return 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n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,i.local.invalidYear).year(),void 0===this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,i.local.invalidMonth),void 0===this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidDate);t=n.year(),e=n.month(),r=n.day();var a=i.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var u=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(u)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(u,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=i.instance(),r=e.fromJD(t),n=r.year(),a=r.dayOfYear(),o=n+56;this._createMissingCalendarData(o);for(var s=9,l=this.NEPALI_CALENDAR_DATA[o][0],u=this.NEPALI_CALENDAR_DATA[o][s]-l+1;a>u;)s++,s>12&&(s=1,o++),u+=this.NEPALI_CALENDAR_DATA[o][s];var c=this.NEPALI_CALENDAR_DATA[o][s]-(u-a);return this.newDate(o,s,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 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e=this._validate(t,this.minMonth,this.minDay,a.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,a.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var n=this._validate(t,e,r,a.local.invalidDate);t=n.year(),e=n.month(),r=n.day();var o=t-(t>=0?474:473),s=474+i(o,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(o/2820)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t)+.5;var e=t-this.toJD(475,1,1),r=Math.floor(e/1029983),n=i(e,1029983),a=2820;if(1029982!==n){var o=Math.floor(n/366),s=i(n,366);a=Math.floor((2134*o+2816*s+2815)/1028522)+o+1}var l=a+2820*r+474;l=l<=0?l-1:l;var 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i=t(\"../main\"),a=t(\"object-assign\"),o=i.instance();n.prototype=new i.baseCalendar,a(n.prototype,{name:\"Thai\",jdEpoch:1523098.5,yearsOffset:543,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Thai\",epochs:[\"BBE\",\"BE\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,i.local.invalidYear),t=this._t2gYear(e.year());return 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i=t(\"../main\"),a=t(\"object-assign\");n.prototype=new i.baseCalendar,a(n.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thal\\u0101th\\u0101\\u2019\",\"Yawm al-Arba\\u2018\\u0101\\u2019\",\"Yawm al-Kham\\u012bs\",\"Yawm al-Jum\\u2018a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,i.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,i.local.invalidMonth),n=r.toJD()-24e5+.5,a=0,s=0;s<o.length;s++){if(o[s]>n)return o[a]-o[a-1];a++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidDate),a=12*(n.year()-1)+n.month()-15292;return n.day()+o[a-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;n<o.length&&!(o[n]>e);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),s=a+1,l=i-12*a,u=e-o[r-1]+1;return this.newDate(s,l,u)},isValid:function(t,e,r){var n=i.baseCalendar.prototype.isValid.apply(this,arguments);return n&&(t=null!=t.year?t.year:t,n=t>=1276&&t<=1500),n},_validate:function(t,e,r,n){var a=i.baseCalendar.prototype._validate.apply(this,arguments);if(a.year<1276||a.year>1500)throw n.replace(/\\{0\\}/,this.local.name);return a}}),i.calendars.ummalqura=n\n",
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n(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function i(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function a(t,e){return t=\"\"+t,\"000000\".substring(0,e-t.length)+t}function o(){this.shortYearCutoff=\"+10\"}function s(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}var l=t(\"object-assign\");l(n.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance(),n.newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,function(e){return t[e]})}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),l(i.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(u.local.differentCalendars||u.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+a(Math.abs(this.year()),4)+\"-\"+a(this.month(),2)+\"-\"+a(this.day(),2)}}),l(o.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new i(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+a(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0),i=t.day();\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(!function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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i=Math.min(r,n),a=Math.max(r,n);i!==a?(f[e]=i,f[e+2]=a,u.dataBox=f,t.setRanges(f)):(t.selectBox.selectBox=[0,0,1,1],t.glplot.setDirty())}var c,h,f=t.calcDataBox(),d=l.viewBox,p=u.lastPos[0],m=u.lastPos[1],g=s.MINDRAG*l.pixelRatio,v=s.MINZOOM*l.pixelRatio;switch(i*=l.pixelRatio,a*=l.pixelRatio,a=d[3]-d[1]-a,t.fullLayout.dragmode){case\"zoom\":if(n){var y=i/(d[2]-d[0])*(f[2]-f[0])+f[0],b=a/(d[3]-d[1])*(f[3]-f[1])+f[1];u.boxInited||(u.boxStart[0]=y,u.boxStart[1]=b,u.dragStart[0]=i,u.dragStart[1]=a),u.boxEnd[0]=y,u.boxEnd[1]=b,u.boxInited=!0,u.boxEnabled||u.boxStart[0]===u.boxEnd[0]&&u.boxStart[1]===u.boxEnd[1]||(u.boxEnabled=!0);var x=Math.abs(u.dragStart[0]-i)<v,_=Math.abs(u.dragStart[1]-a)<v;if(!r()||x&&_)x&&(u.boxEnd[0]=u.boxStart[0]),_&&(u.boxEnd[1]=u.boxStart[1]);else{c=u.boxEnd[0]-u.boxStart[0],h=u.boxEnd[1]-u.boxStart[1];var w=(f[3]-f[1])/(f[2]-f[0]);Math.abs(c*w)>Math.abs(h)?(u.boxEnd[1]=u.boxStart[1]+Math.abs(c)*w*(Math.sign(h)||1),u.boxEnd[1]<f[1]?(u.boxEnd[1]=f[1],u.boxEnd[0]=u.boxStart[0]+(f[1]-u.boxStart[1])/Math.abs(w)):u.boxEnd[1]>f[3]&&(u.boxEnd[1]=f[3],u.boxEnd[0]=u.boxStart[0]+(f[3]-u.boxStart[1])/Math.abs(w))):(u.boxEnd[0]=u.boxStart[0]+Math.abs(h)/w*(Math.sign(c)||1),u.boxEnd[0]<f[0]?(u.boxEnd[0]=f[0],u.boxEnd[1]=u.boxStart[1]+(f[0]-u.boxStart[0])*Math.abs(w)):u.boxEnd[0]>f[2]&&(u.boxEnd[0]=f[2],u.boxEnd[1]=u.boxStart[1]+(f[2]-u.boxStart[0])*Math.abs(w)))}}else u.boxEnabled&&(c=u.boxStart[0]!==u.boxEnd[0],h=u.boxStart[1]!==u.boxEnd[1],c||h?(c&&(o(0,u.boxStart[0],u.boxEnd[0]),t.xaxis.autorange=!1),h&&(o(1,u.boxStart[1],u.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),u.boxEnabled=!1,u.boxInited=!1);break;case\"pan\":u.boxEnabled=!1,u.boxInited=!1,n?(u.panning||(u.dragStart[0]=i,u.dragStart[1]=a),Math.abs(u.dragStart[0]-i)<g&&(i=u.dragStart[0]),Math.abs(u.dragStart[1]-a)<g&&(a=u.dragStart[1]),c=(p-i)*(f[2]-f[0])/(l.viewBox[2]-l.viewBox[0]),h=(m-a)*(f[3]-f[1])/(l.viewBox[3]-l.viewBox[1]),f[0]+=c,f[2]+=c,f[1]+=h,f[3]+=h,t.setRanges(f),u.panning=!0,u.lastInputTime=Date.now(),e(),t.cameraChanged(),t.handleAnnotations()):u.panning&&(u.panning=!1,t.relayoutCallback())}u.lastPos[0]=i,u.lastPos[1]=a}),u.wheelListener=o(i,function(r,n){var i=t.calcDataBox(),a=l.viewBox,o=u.lastPos[0],s=u.lastPos[1];switch(t.fullLayout.dragmode){case\"zoom\":break;case\"pan\":var c=Math.exp(.1*n/(a[3]-a[1])),h=o/(a[2]-a[0])*(i[2]-i[0])+i[0],f=s/(a[3]-a[1])*(i[3]-i[1])+i[1];i[0]=(i[0]-h)*c+h,i[2]=(i[2]-h)*c+h,i[1]=(i[1]-f)*c+f,i[3]=(i[3]-f)*c+f,t.setRanges(i),u.lastInputTime=Date.now(),e(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback()}return!0}),u}var a=t(\"mouse-change\"),o=t(\"mouse-wheel\"),s=t(\"../cartesian/constants\");e.exports=i},{\"../cartesian/constants\":729,\"mouse-change\":434,\"mouse-wheel\":437}],763:[function(t,e,r){\"use strict\";function n(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=[\"x\",\"y\"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=[\"sans-serif\",\"sans-serif\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title=\"\",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont=\"sans-serif\",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}function i(t){return new n(t)}var a=t(\"../plots\"),o=t(\"../cartesian/axes\"),s=t(\"../../lib/html2unicode\"),l=t(\"../../lib/str2rgbarray\"),u=n.prototype,c=[\"xaxis\",\"yaxis\"];u.merge=function(t){this.titleEnable=!1,this.backgroundColor=l(t.plot_bgcolor);var e,r,n,i,a,o,u,h,f,d,p;for(d=0;d<2;++d){for(e=c[d],r=t[this.scene[e]._name],n=/Click to enter .+ title/.test(r.title)?\"\":r.title,p=0;p<=2;p+=2)this.labelEnable[d+p]=!1,this.labels[d+p]=s(n),this.labelColor[d+p]=l(r.titlefont.color),this.labelFont[d+p]=r.titlefont.family,this.labelSize[d+p]=r.titlefont.size,this.labelPad[d+p]=this.getLabelPad(e,r),this.tickEnable[d+p]=!1,this.tickColor[d+p]=l((r.tickfont||{}).color),this.tickAngle[d+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[d+p]=this.getTickPad(r),this.tickMarkLength[d+p]=0,this.tickMarkWidth[d+p]=r.tickwidth||0,this.tickMarkColor[d+p]=l(r.tickcolor),this.borderLineEnable[d+p]=!1,this.borderLineColor[d+p]=l(r.linecolor),this.borderLineWidth[d+p]=r.linewidth||0;u=this.hasSharedAxis(r),a=this.hasAxisInDfltPos(e,r)&&!u,o=this.hasAxisInAltrPos(e,r)&&!u,i=r.mirror||!1,h=u?String(i).indexOf(\"all\")!==-1:!!i,f=u?\"allticks\"===i:String(i).indexOf(\"ticks\")!==-1,a?this.labelEnable[d]=!0:o&&(this.labelEnable[d+2]=!0),a?this.tickEnable[d]=r.showticklabels:o&&(this.tickEnable[d+2]=r.showticklabels),(a||h)&&(this.borderLineEnable[d]=r.showline),(o||h)&&(this.borderLineEnable[d+2]=r.showline),(a||f)&&(this.tickMarkLength[d]=this.getTickMarkLength(r)),(o||f)&&(this.tickMarkLength[d+2]=this.getTickMarkLength(r)),this.gridLineEnable[d]=r.showgrid,this.gridLineColor[d]=l(r.gridcolor),this.gridLineWidth[d]=r.gridwidth,this.zeroLineEnable[d]=r.zeroline,this.zeroLineColor[d]=l(r.zerolinecolor),this.zeroLineWidth[d]=r.zerolinewidth}},u.hasSharedAxis=function(t){var e=this.scene,r=a.getSubplotIds(e.fullLayout,\"gl2d\");return 0!==o.findSubplotsWithAxis(r,t).indexOf(e.id)},u.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},u.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},u.getLabelPad=function(t,e){var r=e.titlefont.size,n=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?r*(1.5+(n?1:0))-10:r*(1.5+(n?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+r*(1.5+(n?1:.5)):10+r*(1.5+(n?.5:0)):void 0},u.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},u.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},e.exports=i},{\"../../lib/html2unicode\":683,\"../../lib/str2rgbarray\":703,\"../cartesian/axes\":724,\"../plots\":787}],764:[function(t,e,r){\"use strict\";var n=t(\"./scene2d\"),i=t(\"../plots\"),a=t(\"../../constants/xmlns_namespaces\");r.name=\"gl2d\",r.attr=[\"xaxis\",\"yaxis\"],r.idRoot=[\"x\",\"y\"],r.idRegex={x:/^x([2-9]|[1-9][0-9]+)?$/,y:/^y([2-9]|[1-9][0-9]+)?$/},r.attrRegex={x:/^xaxis([2-9]|[1-9][0-9]+)?$/,y:/^yaxis([2-9]|[1-9][0-9]+)?$/},r.attributes=t(\"../cartesian/attributes\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,a=i.getSubplotIds(e,\"gl2d\"),o=0;o<a.length;o++){var s=a[o],l=e._plots[s],u=i.getSubplotData(r,\"gl2d\",s),c=l._scene2d;void 0===c&&(c=new n({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),l._scene2d=c),c.plot(u,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var a=i.getSubplotIds(n,\"gl2d\"),o=0;o<a.length;o++){var s=a[o],l=n._plots[s];if(l._scene2d){0===i.getSubplotData(t,\"gl2d\",s).length&&(l._scene2d.destroy(),delete n._plots[s])}}},r.toSVG=function(t){for(var e=t._fullLayout,r=i.getSubplotIds(e,\"gl2d\"),n=0;n<r.length;n++){var o=e._plots[r[n]],s=o._scene2d,l=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:a.svg,\"xlink:href\":l,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),s.destroy()}}},{\"../../constants/xmlns_namespaces\":668,\"../cartesian/attributes\":723,\"../plots\":787,\"./scene2d\":765}],765:[function(t,e,r){\"use strict\";function n(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.glplotOptions=p(this),this.glplotOptions.merge(e),this.glplot=c(this.glplotOptions),this.camera=m(this),this.traces={},this.spikes=h(this.glplot),this.selectBox=f(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.bounds=[1/0,1/0,-1/0,-1/0],this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw()}function i(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1}var a,o,s=t(\"../../registry\"),l=t(\"../../plots/cartesian/axes\"),u=t(\"../../plots/cartesian/graph_interact\"),c=t(\"gl-plot2d\"),h=t(\"gl-spikes2d\"),f=t(\"gl-select-box\"),d=t(\"webgl-context\"),p=t(\"./convert\"),m=t(\"./camera\"),g=t(\"../../lib/html2unicode\"),v=t(\"../../lib/show_no_webgl_msg\"),y=t(\"../../plots/cartesian/constraints\"),b=[\"xaxis\",\"yaxis\"];e.exports=n;var x=n.prototype;x.makeFramework=function(){if(this.staticPlot){if(!(o||(a=document.createElement(\"canvas\"),o=d({canvas:a,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=a,this.gl=o}else{var t=document.createElement(\"canvas\"),e=d({canvas:t,premultipliedAlpha:!0});e||v(this),this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r),r.className+=\"user-select-none\";var n=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");n.style.position=\"absolute\",n.style.top=n.style.left=\"0px\",n.style.width=n.style.height=\"100%\",n.style[\"z-index\"]=20,n.style[\"pointer-events\"]=\"none\";var i=this.mouseContainer=document.createElement(\"div\");i.style.position=\"absolute\";var s=this.container;s.appendChild(r),s.appendChild(n),s.appendChild(i)},x.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(a),this.updateSize(this.canvas),this.glplot.setDirty(),this.glplot.draw();var e=this.glplot.gl,r=e.drawingBufferWidth,n=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var i=new Uint8Array(r*n*4);e.readPixels(0,0,r,n,e.RGBA,e.UNSIGNED_BYTE,i);for(var o=0,s=n-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var u=0;u<4;++u){var c=i[4*(r*o+l)+u];i[4*(r*o+l)+u]=i[4*(r*s+l)+u],i[4*(r*s+l)+u]=c}var h=document.createElement(\"canvas\");h.width=r,h.height=n;var f=h.getContext(\"2d\"),d=f.createImageData(r,n);d.data.set(i),f.putImageData(d,0,0);var p;switch(t){case\"jpeg\":p=h.toDataURL(\"image/jpeg\");break;case\"webp\":p=h.toDataURL(\"image/webp\");break;default:p=h.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(a),p},x.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),this.redraw&&this.redraw(),t},x.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale(),this.xaxis._length=this.glplot.viewBox[2]-this.glplot.viewBox[0],this.yaxis._length=this.glplot.viewBox[3]-this.glplot.viewBox[1];for(var t=[l.calcTicks(this.xaxis),l.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=g(t[e][r].text+\"\");return t},x.updateRefs=function(t){this.fullLayout=t;var e=l.subplotMatch,r=\"xaxis\"+this.id.match(e)[1],n=\"yaxis\"+this.id.match(e)[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},x.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout;n.xaxis.autorange=e.autorange,n.xaxis.range=e.range.slice(0),n.yaxis.autorange=r.autorange,n.yaxis.range=r.range.slice(0);var i={lastInputTime:this.camera.lastInputTime};i[e._name]=e.range.slice(0),i[r._name]=r.range.slice(0),t.emit(\"plotly_relayout\",i)},x.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();i(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},x.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&s.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},x.destroy=function(){var t=this.traces;t&&Object.keys(t).map(function(e){t[e].dispose(),delete t[e]}),this.glplot.dispose(),this.staticPlot||this.container.removeChild(this.canvas),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0},x.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.updateTraces(t,e);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s=r._size,u=this.xaxis.domain,c=this.yaxis.domain;o.viewBox=[s.l+u[0]*s.w,s.b+c[0]*s.h,i-s.r-(1-u[1])*s.w,a-s.t-(1-c[1])*s.h],this.mouseContainer.style.width=s.w*(u[1]-u[0])+\"px\",this.mouseContainer.style.height=s.h*(c[1]-c[0])+\"px\",this.mouseContainer.height=s.h*(c[1]-c[0]),this.mouseContainer.style.left=s.l+u[0]*s.w+\"px\",this.mouseContainer.style.top=s.t+(1-c[1])*s.h+\"px\";var h=this.bounds;h[0]=h[1]=1/0,h[2]=h[3]=-1/0;var f,d,p=Object.keys(this.traces);for(d=0;d<p.length;++d)for(var m=this.traces[p[d]],g=0;g<2;++g)h[g]=Math.min(h[g],m.bounds[g]),h[g+2]=Math.max(h[g+2],m.bounds[g+2]);for(d=0;d<2;++d)h[d]>h[d+2]&&(h[d]=-1,h[d+2]=1),f=this[b[d]],f._length=o.viewBox[d+2]-o.viewBox[d],l.doAutoRange(f),f.setScale();var v={_axisConstraintGroups:this.graphDiv._fullLayout._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis};y({_fullLayout:v}),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},x.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},x.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},x.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if(i=t[n],i.uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],u=this.traces[i.uid];u?u.update(i,l):(u=i._module.plot(this,i,l),this.traces[i.uid]=u)}this.glplot.objects.sort(function(t,e){return t._trace.index-e._trace.index})},x.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=0;i<this.fullData.length;i++)this.fullData[i].uid===n&&(r=this.fullData[i]);this.graphDiv.emit(e,{points:[{x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:t.pointIndex,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis}]})},x.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,s=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var l=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],c=0;c<2;c++)e.boxStart[c]===e.boxEnd[c]&&(l[c]=t.dataBox[c],l[c+2]=t.dataBox[c+2]);t.setDirty()}else if(!e.panning){this.selectBox.enabled=!1;var h=i._size,f=this.xaxis.domain,d=this.yaxis.domain;a=t.pick(o/t.pixelRatio+h.l+f[0]*h.w,s/t.pixelRatio-(h.t+(1-d[1])*h.h));var p=a&&a.object._trace.handlePick(a);if(p&&n&&this.emitPointAction(p,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&p&&(!this.lastPickResult||this.lastPickResult.traceUid!==p.trace.uid||this.lastPickResult.dataCoord[0]!==p.dataCoord[0]||this.lastPickResult.dataCoord[1]!==p.dataCoord[1])){var m=p;this.lastPickResult={traceUid:p.trace?p.trace.uid:null,dataCoord:p.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),m.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(p,\"plotly_hover\");var g=m.hoverinfo;if(\"all\"!==g){var v=g.split(\"+\");v.indexOf(\"x\")===-1&&(m.traceCoord[0]=void 0),v.indexOf(\"y\")===-1&&(m.traceCoord[1]=void 0),v.indexOf(\"z\")===-1&&(m.traceCoord[2]=void 0),v.indexOf(\"text\")===-1&&(m.textLabel=void 0),v.indexOf(\"name\")===-1&&(m.name=void 0)}u.loneHover({x:m.screenCoord[0],y:m.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",m.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",m.traceCoord[1]),zLabel:m.traceCoord[2],text:m.textLabel,name:m.name,color:m.color},{container:this.svgContainer})}}!a&&this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),u.loneUnhover(this.svgContainer)),t.draw()}},x.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return l.tickText(r,r.c2l(e),\"hover\").text}}},{\"../../lib/html2unicode\":683,\"../../lib/show_no_webgl_msg\":701,\"../../plots/cartesian/axes\":724,\"../../plots/cartesian/constraints\":731,\"../../plots/cartesian/graph_interact\":733,\"../../registry\":802,\"./camera\":762,\"./convert\":763,\"gl-plot2d\":203,\"gl-select-box\":237,\"gl-spikes2d\":246,\"webgl-context\":543}],766:[function(t,e,r){\"use strict\";function n(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];\"distanceLimits\"in e&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]),\"zoomMin\"in e&&(r[0]=e.zoomMin),\"zoomMax\"in e&&(r[1]=e.zoomMax);var n=a({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),l=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],u=0,c=t.clientWidth,h=t.clientHeight,f={keyBindingMode:\"rotate\",view:n,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:n.modes,tick:function(){var e=i(),r=this.delay,a=e-2*r;n.idle(e-r),n.recalcMatrix(a),n.flush(e-(100+2*r));for(var o=!0,s=n.computedMatrix,f=0;f<16;++f)o=o&&l[f]===s[f],l[f]=s[f];var d=t.clientWidth===c&&t.clientHeight===h;return c=t.clientWidth,h=t.clientHeight,o?!d:(u=Math.exp(n.computedRadius[0]),!0)},lookAt:function(t,e,r){n.lookAt(n.lastT(),t,e,r)},rotate:function(t,e,r){n.rotate(n.lastT(),t,e,r)},pan:function(t,e,r){n.pan(n.lastT(),t,e,r)},translate:function(t,e,r){n.translate(n.lastT(),t,e,r)}};Object.defineProperties(f,{matrix:{get:function(){return n.computedMatrix},set:function(t){return n.setMatrix(n.lastT(),t),n.computedMatrix},enumerable:!0},mode:{get:function(){return n.getMode()},set:function(t){var e=n.computedUp.slice(),r=n.computedEye.slice(),a=n.computedCenter.slice();if(n.setMode(t),\"turntable\"===t){var o=i();n._active.lookAt(o,r,a,e),n._active.lookAt(o+500,r,a,[0,0,1]),n._active.flush(o)}return n.getMode()},enumerable:!0},center:{get:function(){return n.computedCenter},set:function(t){return n.lookAt(n.lastT(),null,t),n.computedCenter},enumerable:!0},eye:{get:function(){return n.computedEye},set:function(t){return n.lookAt(n.lastT(),t),n.computedEye},enumerable:!0},up:{get:function(){return n.computedUp},set:function(t){return n.lookAt(n.lastT(),null,null,t),n.computedUp},enumerable:!0},distance:{get:function(){return u},set:function(t){return n.setDistance(n.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return n.getDistanceLimits(r)},set:function(t){return n.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",function(t){return t.preventDefault(),!1});var d=0,p=0;return o(t,function(e,r,a,o){var s=f.keyBindingMode;if(s!==!1){var l=\"rotate\"===s,c=\"pan\"===s,h=\"zoom\"===s,m=!!o.control,g=!!o.alt,v=!!o.shift,y=!!(1&e),b=!!(2&e),x=!!(4&e),_=1/t.clientHeight,w=_*(r-d),M=_*(a-p),k=f.flipX?1:-1,A=f.flipY?1:-1,T=i(),S=Math.PI*f.rotateSpeed;if((l&&y&&!m&&!g&&!v||y&&!m&&!g&&v)&&n.rotate(T,k*S*w,-A*S*M,0),(c&&y&&!m&&!g&&!v||b||y&&m&&!g&&!v)&&n.pan(T,-f.translateSpeed*w*u,f.translateSpeed*M*u,0),h&&y&&!m&&!g&&!v||x||y&&!m&&g&&!v){var E=-f.zoomSpeed*M/window.innerHeight*(T-n.lastT())*100;n.pan(T,0,0,u*(Math.exp(E)-1))}return d=r,p=a,!0}}),s(t,function(t,e){if(f.keyBindingMode!==!1){var r=f.flipX?1:-1,a=f.flipY?1:-1,o=i();if(Math.abs(t)>Math.abs(e))n.rotate(o,0,0,-t*r*Math.PI*f.rotateSpeed/window.innerWidth);else{var s=-f.zoomSpeed*a*e/window.innerHeight*(o-n.lastT())/100;n.pan(o,0,0,u*(Math.exp(s)-1))}}},!0),f}e.exports=n;var i=t(\"right-now\"),a=t(\"3d-view\"),o=t(\"mouse-change\"),s=t(\"mouse-wheel\")},{\"3d-view\":33,\"mouse-change\":434,\"mouse-wheel\":437,\"right-now\":483}],767:[function(t,e,r){\"use strict\";var n=t(\"./scene\"),i=t(\"../plots\"),a=t(\"../../lib\"),o=t(\"../../constants/xmlns_namespaces\");r.name=\"gl3d\",r.attr=\"scene\",r.idRoot=\"scene\",r.idRegex=/^scene([2-9]|[1-9][0-9]+)?$/,r.attrRegex=/^scene([2-9]|[1-9][0-9]+)?$/,r.attributes=t(\"./layout/attributes\"),r.layoutAttributes=t(\"./layout/layout_attributes\"),r.supplyLayoutDefaults=t(\"./layout/defaults\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,o=i.getSubplotIds(e,\"gl3d\"),s=0;s<o.length;s++){var l=o[s],u=i.getSubplotData(r,\"gl3d\",l),c=e[l],h=c._scene;h||(h=new n({id:l,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),c._scene=h),h.cameraInitial||(h.cameraInitial=a.extendDeep({},c.camera)),h.plot(u,e,t.layout)}},r.clean=function(t,e,r,n){for(var a=i.getSubplotIds(n,\"gl3d\"),o=0;o<a.length;o++){var s=a[o];!e[s]&&n[s]._scene&&n[s]._scene.destroy()}},r.toSVG=function(t){for(var e=t._fullLayout,r=i.getSubplotIds(e,\"gl3d\"),n=e._size,a=0;a<r.length;a++){var s=e[r[a]],l=s.domain,u=s._scene,c=u.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":c,x:n.l+n.w*l.x[0],y:n.t+n.h*(1-l.y[1]),width:n.w*(l.x[1]-l.x[0]),height:n.h*(l.y[1]-l.y[0]),preserveAspectRatio:\"none\"}),u.destroy()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),\"scene\"+e}}},{\"../../constants/xmlns_namespaces\":668,\"../../lib\":685,\"../plots\":787,\"./layout/attributes\":768,\"./layout/defaults\":772,\"./layout/layout_attributes\":773,\"./scene\":777}],768:[function(t,e,r){\"use strict\";e.exports={scene:{\n",
       "valType:\"subplotid\",dflt:\"scene\"}}},{}],769:[function(t,e,r){\"use strict\";var n=t(\"../../../components/color\"),i=t(\"../../cartesian/layout_attributes\"),a=t(\"../../../lib/extend\").extendFlat;e.exports={visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:i.title,titlefont:i.titlefont,type:i.type,autorange:i.autorange,rangemode:i.rangemode,range:i.range,tickmode:i.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,separatethousands:i.separatethousands,tickformat:i.tickformat,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth}},{\"../../../components/color\":578,\"../../../lib/extend\":677,\"../../cartesian/layout_attributes\":735}],770:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,i=t(\"../../../lib\"),a=t(\"./axis_attributes\"),o=t(\"../../cartesian/type_defaults\"),s=t(\"../../cartesian/axis_defaults\"),l=[\"xaxis\",\"yaxis\",\"zaxis\"];e.exports=function(t,e,r){function u(t,e){return i.coerce(c,h,a,t,e)}for(var c,h,f=0;f<l.length;f++){var d=l[f];c=t[d]||{},h=e[d]={_id:d[0]+r.scene,_name:d},o(c,h,u,r.data),s(c,h,u,{font:r.font,letter:d[0],data:r.data,showGrid:!0,bgColor:r.bgColor,calendar:r.calendar}),u(\"gridcolor\",n(h.color,r.bgColor,13600/187).toRgbString()),u(\"title\",d[0]),h.setScale=i.noop,u(\"showspikes\")&&(u(\"spikesides\"),u(\"spikethickness\"),u(\"spikecolor\",h.color)),u(\"showaxeslabels\"),u(\"showbackground\")&&u(\"backgroundcolor\")}}},{\"../../../lib\":685,\"../../cartesian/axis_defaults\":726,\"../../cartesian/type_defaults\":746,\"./axis_attributes\":769,tinycolor2:514}],771:[function(t,e,r){\"use strict\";function n(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}function i(t){var e=new n;return e.merge(t),e}var a=t(\"../../../lib/html2unicode\"),o=t(\"../../../lib/str2rgbarray\"),s=[\"xaxis\",\"yaxis\",\"zaxis\"];n.prototype.merge=function(t){for(var e=this,r=0;r<3;++r){var n=t[s[r]];n.visible?(e.labels[r]=a(n.title),\"titlefont\"in n&&(n.titlefont.color&&(e.labelColor[r]=o(n.titlefont.color)),n.titlefont.family&&(e.labelFont[r]=n.titlefont.family),n.titlefont.size&&(e.labelSize[r]=n.titlefont.size)),\"showline\"in n&&(e.lineEnable[r]=n.showline),\"linecolor\"in n&&(e.lineColor[r]=o(n.linecolor)),\"linewidth\"in n&&(e.lineWidth[r]=n.linewidth),\"showgrid\"in n&&(e.gridEnable[r]=n.showgrid),\"gridcolor\"in n&&(e.gridColor[r]=o(n.gridcolor)),\"gridwidth\"in n&&(e.gridWidth[r]=n.gridwidth),\"log\"===n.type?e.zeroEnable[r]=!1:\"zeroline\"in n&&(e.zeroEnable[r]=n.zeroline),\"zerolinecolor\"in n&&(e.zeroLineColor[r]=o(n.zerolinecolor)),\"zerolinewidth\"in n&&(e.zeroLineWidth[r]=n.zerolinewidth),\"ticks\"in n&&n.ticks?e.lineTickEnable[r]=!0:e.lineTickEnable[r]=!1,\"ticklen\"in n&&(e.lineTickLength[r]=e._defaultLineTickLength[r]=n.ticklen),\"tickcolor\"in n&&(e.lineTickColor[r]=o(n.tickcolor)),\"tickwidth\"in n&&(e.lineTickWidth[r]=n.tickwidth),\"tickangle\"in n&&(e.tickAngle[r]=\"auto\"===n.tickangle?0:Math.PI*-n.tickangle/180),\"showticklabels\"in n&&(e.tickEnable[r]=n.showticklabels),\"tickfont\"in n&&(n.tickfont.color&&(e.tickColor[r]=o(n.tickfont.color)),n.tickfont.family&&(e.tickFont[r]=n.tickfont.family),n.tickfont.size&&(e.tickSize[r]=n.tickfont.size)),\"mirror\"in n?[\"ticks\",\"all\",\"allticks\"].indexOf(n.mirror)!==-1?(e.lineTickMirror[r]=!0,e.lineMirror[r]=!0):n.mirror===!0?(e.lineTickMirror[r]=!1,e.lineMirror[r]=!0):(e.lineTickMirror[r]=!1,e.lineMirror[r]=!1):e.lineMirror[r]=!1,\"showbackground\"in n&&n.showbackground!==!1?(e.backgroundEnable[r]=!0,e.backgroundColor[r]=o(n.backgroundcolor)):e.backgroundEnable[r]=!1):(e.tickEnable[r]=!1,e.labelEnable[r]=!1,e.lineEnable[r]=!1,e.lineTickEnable[r]=!1,e.gridEnable[r]=!1,e.zeroEnable[r]=!1,e.backgroundEnable[r]=!1)}},e.exports=i},{\"../../../lib/html2unicode\":683,\"../../../lib/str2rgbarray\":703}],772:[function(t,e,r){\"use strict\";function n(t,e,r,n){for(var i=r(\"bgcolor\"),o=a.combine(i,n.paper_bgcolor),u=Object.keys(s.camera),c=0;c<u.length;c++)r(\"camera.\"+u[c]+\".x\"),r(\"camera.\"+u[c]+\".y\"),r(\"camera.\"+u[c]+\".z\");var h=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),f=h?\"manual\":\"auto\",d=r(\"aspectmode\",f);h||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===d&&(e.aspectmode=\"auto\")),l(t,e,{font:n.font,scene:n.id,data:n.fullData,bgColor:o,calendar:n.calendar}),r(\"dragmode\",n.getDfltFromLayout(\"dragmode\")),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}var i=t(\"../../../lib\"),a=t(\"../../../components/color\"),o=t(\"../../subplot_defaults\"),s=t(\"./layout_attributes\"),l=t(\"./axis_defaults\");e.exports=function(t,e,r){function a(e){if(!l){return i.validate(t[e],s[e])?t[e]:void 0}}var l=e._basePlotModules.length>1;o(t,e,r,{type:\"gl3d\",attributes:s,handleDefaults:n,font:e.font,fullData:r,getDfltFromLayout:a,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{\"../../../components/color\":578,\"../../../lib\":685,\"../../subplot_defaults\":794,\"./axis_defaults\":770,\"./layout_attributes\":773}],773:[function(t,e,r){\"use strict\";function n(t,e,r){return{x:{valType:\"number\",dflt:t},y:{valType:\"number\",dflt:e},z:{valType:\"number\",dflt:r}}}var i=t(\"./axis_attributes\"),a=t(\"../../../lib/extend\").extendFlat;e.exports={bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\"},camera:{up:a(n(0,0,1),{}),center:a(n(0,0,0),{}),eye:a(n(1.25,1.25,1.25),{})},domain:{x:{valType:\"info_array\",items:[{valType:\"number\",min:0,max:1},{valType:\"number\",min:0,max:1}],dflt:[0,1]},y:{valType:\"info_array\",items:[{valType:\"number\",min:0,max:1},{valType:\"number\",min:0,max:1}],dflt:[0,1]}},aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\"},aspectratio:{x:{valType:\"number\",min:0},y:{valType:\"number\",min:0},z:{valType:\"number\",min:0}},xaxis:i,yaxis:i,zaxis:i,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],dflt:\"turntable\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\"},_deprecated:{cameraposition:{valType:\"info_array\"}}}},{\"../../../lib/extend\":677,\"./axis_attributes\":769}],774:[function(t,e,r){\"use strict\";function n(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}function i(t){var e=new n;return e.merge(t),e}var a=t(\"../../../lib/str2rgbarray\"),o=[\"xaxis\",\"yaxis\",\"zaxis\"];n.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[o[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=a(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=i},{\"../../../lib/str2rgbarray\":703}],775:[function(t,e,r){\"use strict\";function n(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}function i(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,i=t.fullSceneLayout,c=[[],[],[]],h=0;h<3;++h){var f=i[l[h]];if(f._length=(r[h].hi-r[h].lo)*r[h].pixelsPerDataUnit/t.dataScale[h],1/0===Math.abs(f._length))c[h]=[];else{f.range[0]=r[h].lo/t.dataScale[h],f.range[1]=r[h].hi/t.dataScale[h],f._m=1/(t.dataScale[h]*r[h].pixelsPerDataUnit),f.range[0]===f.range[1]&&(f.range[0]-=1,f.range[1]+=1);var d=f.tickmode;if(\"auto\"===f.tickmode){f.tickmode=\"linear\";var p=f.nticks||o.constrain(f._length/40,4,9);a.autoTicks(f,Math.abs(f.range[1]-f.range[0])/p)}for(var m=a.calcTicks(f),g=0;g<m.length;++g)m[g].x=m[g].x*t.dataScale[h],m[g].text=s(m[g].text);c[h]=m,f.tickmode=d}}e.ticks=c;for(var h=0;h<3;++h){u[h]=.5*(t.glplot.bounds[0][h]+t.glplot.bounds[1][h]);for(var g=0;g<2;++g)e.bounds[g][h]=t.glplot.bounds[g][h]}t.contourLevels=n(c)}e.exports=i;var a=t(\"../../cartesian/axes\"),o=t(\"../../../lib\"),s=t(\"../../../lib/html2unicode\"),l=[\"xaxis\",\"yaxis\",\"zaxis\"],u=[0,0,0]},{\"../../../lib\":685,\"../../../lib/html2unicode\":683,\"../../cartesian/axes\":724}],776:[function(t,e,r){\"use 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b=d.split(\"+\");b.indexOf(\"x\")===-1&&(p=void 0),b.indexOf(\"y\")===-1&&(v=void 0),b.indexOf(\"z\")===-1&&(y=void 0),b.indexOf(\"text\")===-1&&(u.textLabel=void 0),b.indexOf(\"name\")===-1&&(l.name=void 0)}t.fullSceneLayout.hovermode&&g.loneHover({x:(.5+.5*f[0]/f[3])*a,y:(.5-.5*f[1]/f[3])*o,xLabel:p,yLabel:v,zLabel:y,text:u.textLabel,name:l.name,color:l.color},{container:n});var _={points:[{x:p,y:v,z:y,data:r._input,fullData:r,curveNumber:r.index,pointNumber:u.data.index}]};u.buttons&&u.distance<5?t.graphDiv.emit(\"plotly_click\",_):t.graphDiv.emit(\"plotly_hover\",_),h=_}else g.loneUnhover(n),t.graphDiv.emit(\"plotly_unhover\",h)}function i(t,e,r,i){var a={canvas:r,gl:i,container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1};if(t.staticMode){if(!(h||(c=document.createElement(\"canvas\"),h=d({canvas:c,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for 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a=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\",r.appendChild(a),this.svgContainer=a,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=_(e[this.id]),this.spikeOptions=w(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],i(this,e)}function o(t,e,r,n,i){for(var a,o=0;o<e.length;++o)if(Array.isArray(e[o]))for(var s=0;s<e[o].length;++s)a=t.d2l(e[o][s],0,i),!isNaN(a)&&isFinite(a)&&(n[0][r]=Math.min(n[0][r],a),n[1][r]=Math.max(n[1][r],a));else a=t.d2l(e[o],0,i),!isNaN(a)&&isFinite(a)&&(n[0][r]=Math.min(n[0][r],a),n[1][r]=Math.max(n[1][r],a))}function s(t,e,r){var n=t.fullSceneLayout;o(n.xaxis,e.x,0,r,e.xcalendar),o(n.yaxis,e.y,1,r,e.ycalendar),o(n.zaxis,e.z,2,r,e.zcalendar)}function l(t){return[[t.eye.x,t.eye.y,t.eye.z],[t.center.x,t.center.y,t.center.z],[t.up.x,t.up.y,t.up.z]]}function u(t){return{up:{x:t.up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]}}}var c,h,f=t(\"gl-plot3d\"),d=t(\"webgl-context\"),p=t(\"../../lib\"),m=t(\"../../plots/cartesian/axes\"),g=t(\"../../plots/cartesian/graph_interact\"),v=t(\"../../lib/str2rgbarray\"),y=t(\"../../lib/show_no_webgl_msg\"),b=t(\"./camera\"),x=t(\"./project\"),_=t(\"./layout/convert\"),w=t(\"./layout/spikes\"),M=t(\"./layout/tick_marks\"),k=a.prototype;k.recoverContext=function(){function t(){return r.isContextLost()?void requestAnimationFrame(t):i(e,e.fullLayout,n,r)?void e.plot.apply(e,e.plotArgs):void 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Context lost.\")}var e=this,r=this.glplot.gl,n=this.glplot.canvas;this.glplot.dispose(),requestAnimationFrame(t)};var A=[\"xaxis\",\"yaxis\",\"zaxis\"];k.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,i,a,o,l,u,c=e[this.id],h=r[this.id];c.bgcolor?this.glplot.clearColor=v(c.bgcolor):this.glplot.clearColor=[0,0,0,0],this.glplot.snapToData=!0,this.fullLayout=e,this.fullSceneLayout=c,this.glplotLayout=c,this.axesOptions.merge(c),this.spikeOptions.merge(c),this.setCamera(c.camera),this.updateFx(c.dragmode,c.hovermode),this.glplot.update({}),this.setConvert(l),t?Array.isArray(t)||(t=[t]):t=[];var f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(a=0;a<t.length;++a)n=t[a],n.visible===!0&&s(this,n,f);var d=[1,1,1];for(o=0;o<3;++o)f[0][o]>f[1][o]?d[o]=1:f[1][o]===f[0][o]?d[o]=1:d[o]=1/(f[1][o]-f[0][o]);for(this.dataScale=d,a=0;a<t.length;++a)n=t[a],n.visible===!0&&(i=this.traces[n.uid],i?i.update(n):(i=n._module.plot(this,n),this.traces[n.uid]=i),i.name=n.name);var p=Object.keys(this.traces);t:for(a=0;a<p.length;++a){for(o=0;o<t.length;++o)if(t[o].uid===p[a]&&t[o].visible===!0)continue t;i=this.traces[p[a]],i.dispose(),delete this.traces[p[a]]}this.glplot.objects.sort(function(t,e){return t._trace.data.index-e._trace.data.index});var m=[[0,0,0],[0,0,0]],g=[],y={};for(a=0;a<3;++a){if(l=c[A[a]],u=l.type,u in y?(y[u].acc*=d[a],y[u].count+=1):y[u]={acc:d[a],count:1},l.autorange){for(m[0][a]=1/0,m[1][a]=-1/0,o=0;o<this.glplot.objects.length;++o){var b=this.glplot.objects[o].bounds;m[0][a]=Math.min(m[0][a],b[0][a]/d[a]),m[1][a]=Math.max(m[1][a],b[1][a]/d[a])}if(\"rangemode\"in l&&\"tozero\"===l.rangemode&&(m[0][a]=Math.min(m[0][a],0),m[1][a]=Math.max(m[1][a],0)),m[0][a]>m[1][a])m[0][a]=-1,m[1][a]=1;else{var x=m[1][a]-m[0][a];m[0][a]-=x/32,m[1][a]+=x/32}}else{var _=c[A[a]].range;m[0][a]=_[0],m[1][a]=_[1]}m[0][a]===m[1][a]&&(m[0][a]-=1,m[1][a]+=1),g[a]=m[1][a]-m[0][a],this.glplot.bounds[0][a]=m[0][a]*d[a],this.glplot.bounds[1][a]=m[1][a]*d[a]}var w=[1,1,1];for(a=0;a<3;++a){l=c[A[a]],u=l.type;var M=y[u];w[a]=Math.pow(M.acc,1/M.count)/d[a]}var k;if(\"auto\"===c.aspectmode)k=Math.max.apply(null,w)/Math.min.apply(null,w)<=4?w:[1,1,1];else if(\"cube\"===c.aspectmode)k=[1,1,1];else if(\"data\"===c.aspectmode)k=w;else{if(\"manual\"!==c.aspectmode)throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");var T=c.aspectratio;k=[T.x,T.y,T.z]}c.aspectratio.x=h.aspectratio.x=k[0],c.aspectratio.y=h.aspectratio.y=k[1],c.aspectratio.z=h.aspectratio.z=k[2],this.glplot.aspect=k;var S=c.domain||null,E=e._size||null;if(S&&E){var L=this.container.style;L.position=\"absolute\",L.left=E.l+S.x[0]*E.w+\"px\",L.top=E.t+(1-S.y[1])*E.h+\"px\",L.width=E.w*(S.x[1]-S.x[0])+\"px\",L.height=E.h*(S.y[1]-S.y[0])+\"px\"}this.glplot.redraw()}},k.destroy=function(){this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null},k.getCamera=function(){return this.glplot.camera.view.recalcMatrix(this.camera.view.lastT()),u(this.glplot.camera)},k.setCamera=function(t){this.glplot.camera.lookAt.apply(this,l(t))},k.saveCamera=function(t){var e=this.getCamera(),r=p.nestedProperty(t,this.id+\".camera\"),n=r.get(),i=!1;if(void 0===n)i=!0;else for(var a=0;a<3;a++)for(var o=0;o<3;o++)if(!function(t,e,r,n){var i=[\"up\",\"center\",\"eye\"],a=[\"x\",\"y\",\"z\"];return e[i[r]]&&t[i[r]][a[n]]===e[i[r]][a[n]]}(e,n,a,o)){i=!0;break}return i&&r.set(e),i},k.updateFx=function(t,e){var r=this.camera;r&&(\"orbit\"===t?(r.mode=\"orbit\",r.keyBindingMode=\"rotate\"):\"turntable\"===t?(r.up=[0,0,1],r.mode=\"turntable\",r.keyBindingMode=\"rotate\"):r.keyBindingMode=t),this.fullSceneLayout.hovermode=e},k.toImage=function(t){t||(t=\"png\"),this.staticMode&&this.container.appendChild(c),this.glplot.redraw();var e=this.glplot.gl,r=e.drawingBufferWidth,n=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var i=new Uint8Array(r*n*4);e.readPixels(0,0,r,n,e.RGBA,e.UNSIGNED_BYTE,i);for(var a=0,o=n-1;a<o;++a,--o)for(var s=0;s<r;++s)for(var l=0;l<4;++l){var u=i[4*(r*a+s)+l];i[4*(r*a+s)+l]=i[4*(r*o+s)+l],i[4*(r*o+s)+l]=u}var h=document.createElement(\"canvas\");h.width=r,h.height=n;var f=h.getContext(\"2d\"),d=f.createImageData(r,n);d.data.set(i),f.putImageData(d,0,0);var p;switch(t){case\"jpeg\":p=h.toDataURL(\"image/jpeg\");break;case\"webp\":p=h.toDataURL(\"image/webp\");break;default:p=h.toDataURL(\"image/png\")}return this.staticMode&&this.container.removeChild(c),p},k.setConvert=function(){for(var t=0;t<3;++t){var e=this.fullSceneLayout[A[t]];m.setConvert(e,this.fullLayout),e.setScale=p.noop}},e.exports=a},{\"../../lib\":685,\"../../lib/show_no_webgl_msg\":701,\"../../lib/str2rgbarray\":703,\"../../plots/cartesian/axes\":724,\"../../plots/cartesian/graph_interact\":733,\"./camera\":766,\"./layout/convert\":771,\"./layout/spikes\":774,\"./layout/tick_marks\":775,\"./project\":776,\"gl-plot3d\":205,\"webgl-context\":543}],778:[function(t,e,r){\"use strict\";var n=t(\"../lib\"),i=n.extendFlat,a=t(\"./font_attributes\"),o=t(\"../components/color/attributes\");e.exports={font:{family:i({},a.family,{dflt:'\"Open Sans\", verdana, arial, sans-serif'}),size:i({},a.size,{dflt:12}),color:i({},a.color,{dflt:o.defaultLine})},title:{valType:\"string\",dflt:\"Click to enter Plot 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strict\";e.exports={styleUrlPrefix:\"mapbox://styles/mapbox/\",styleUrlSuffix:\"v9\",controlContainerClassName:\"mapboxgl-control-container\",noAccessTokenErrorMsg:[\"Missing Mapbox access token.\",\"Mapbox trace type require a Mapbox access token to be registered.\",\"For example:\",\"  Plotly.plot(gd, data, layout, { mapboxAccessToken: 'my-access-token' });\",\"More info here: https://www.mapbox.com/help/define-access-token/\"].join(\"\\n\"),mapOnErrorMsg:\"Mapbox error.\"}},{}],780:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){var r=t.split(\" \"),i=r[0],a=r[1],o=Array.isArray(e)?n.mean(e):e,s=.5+o/100,l=1.5+o/100,u=[\"\",\"\"],c=[0,0];switch(i){case\"top\":u[0]=\"top\",c[1]=-l;break;case\"bottom\":u[0]=\"bottom\",c[1]=l}switch(a){case\"left\":u[1]=\"right\",c[0]=-s;break;case\"right\":u[1]=\"left\",c[0]=s}var h;return h=u[0]&&u[1]?u.join(\"-\"):u[0]?u[0]:u[1]?u[1]:\"center\",{anchor:h,offset:c}}},{\"../../lib\":685}],781:[function(t,e,r){\"use 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s=a({},t.layout);if([[s,[\"plot_bgcolor\"],[\"backgroundColor\"]],[s,[\"showlegend\"],[\"showLegend\"]],[s,[\"radialaxis\"],[\"radialAxis\"]],[s,[\"angularaxis\"],[\"angularAxis\"]],[s.angularaxis,[\"showline\"],[\"gridLinesVisible\"]],[s.angularaxis,[\"showticklabels\"],[\"labelsVisible\"]],[s.angularaxis,[\"nticks\"],[\"ticksCount\"]],[s.angularaxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.angularaxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.angularaxis,[\"range\"],[\"domain\"]],[s.angularaxis,[\"endpadding\"],[\"endPadding\"]],[s.radialaxis,[\"showline\"],[\"gridLinesVisible\"]],[s.radialaxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.radialaxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.radialaxis,[\"range\"],[\"domain\"]],[s.angularAxis,[\"showline\"],[\"gridLinesVisible\"]],[s.angularAxis,[\"showticklabels\"],[\"labelsVisible\"]],[s.angularAxis,[\"nticks\"],[\"ticksCount\"]],[s.angularAxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.angularAxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.angularAxis,[\"range\"],[\"domain\"]],[s.angularAxis,[\"endpadding\"],[\"endPadding\"]],[s.radialAxis,[\"showline\"],[\"gridLinesVisible\"]],[s.radialAxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.radialAxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.radialAxis,[\"range\"],[\"domain\"]],[s.font,[\"outlinecolor\"],[\"outlineColor\"]],[s.legend,[\"traceorder\"],[\"reverseOrder\"]],[s,[\"labeloffset\"],[\"labelOffset\"]],[s,[\"defaultcolorrange\"],[\"defaultColorRange\"]]].forEach(function(t,r){o.util.translator.apply(null,t.concat(e))}),e?(void 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a=t(\"d3\"),o=t(\"tinycolor2\"),s=t(\"../../plotly\"),l=t(\"../../lib\"),u=t(\"../../components/color\"),c=t(\"../../components/drawing\"),h=t(\"../cartesian/set_convert\"),f=t(\"../../lib/extend\").extendFlat,d=t(\"../plots\"),p=t(\"../cartesian/axes\"),m=t(\"../../components/dragelement\"),g=t(\"../../components/titles\"),v=t(\"../cartesian/select\"),y=t(\"../cartesian/constants\"),b=t(\"../cartesian/graph_interact\");e.exports=n;var x=n.prototype;x.init=function(t){this.container=t._ternarylayer,this.defs=t._defs,this.layoutId=t._uid,this.traceHash={}},x.plot=function(t,e){var r=this,n=e[r.id],i=e._size;r.adjustLayout(n,i),d.generalUpdatePerTraceModule(r,t,n),r.layers.plotbg.select(\"path\").call(u.fill,n.bgcolor)},x.makeFramework=function(){var t=this,e=t.defs.selectAll(\"g.clips\").data([0]);e.enter().append(\"g\").classed(\"clips\",!0);var 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   float show = float(mshow(pA, loA, hiA) &&\\n                       mshow(pB, loB, hiB) &&\\n                       mshow(pC, loC, hiC) &&\\n                       mshow(pD, loD, hiD));\\n\\n    vec2 yy = show * vec2(val(pA, dim2A) + val(pB, dim2B) + val(pC, dim2C) + val(pD, dim2D),\\n                          val(pA, dim1A) + val(pB, dim1B) + val(pC, dim1C) + val(pD, dim1D));\\n\\n    vec2 dimensionToggle = vec2(x, 1.0 - x);\\n\\n    vec2 scatterToggle = vec2(scatter, 1.0 - scatter);\\n\\n    float y = dot(yy, dimensionToggle);\\n    mat2 xy = mat2(viewBoxSize * yy + dimensionToggle, viewBoxSize * vec2(x, y));\\n\\n    vec2 viewBoxXY = viewBoxPosition + xy * scatterToggle;\\n\\n    float depthOrHide = depth + 2.0 * (1.0 - show);\\n\\n    gl_Position = vec4(\\n        xyProjection * (2.0 * viewBoxXY / resolution - 1.0),\\n        depthOrHide,\\n        1.0\\n    );\\n\\n    // visible coloring\\n    float clampedColorIndex = clamp((prominence - colorClamp[0]) / (colorClamp[1] - colorClamp[0]), 0.0, 1.0);\\n    fragColor = texture2D(palette, vec2((clampedColorIndex * 255.0 + 0.5) / 256.0, 0.5));\\n}\\n\",frag:\"precision lowp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n    gl_FragColor = fragColor;\\n}\\n\",primitive:\"lines\",lineWidth:1,attributes:P,uniforms:{resolution:O.prop(\"resolution\"),viewBoxPosition:O.prop(\"viewBoxPosition\"),viewBoxSize:O.prop(\"viewBoxSize\"),dim1A:O.prop(\"dim1A\"),dim2A:O.prop(\"dim2A\"),dim1B:O.prop(\"dim1B\"),dim2B:O.prop(\"dim2B\"),dim1C:O.prop(\"dim1C\"),dim2C:O.prop(\"dim2C\"),dim1D:O.prop(\"dim1D\"),dim2D:O.prop(\"dim2D\"),loA:O.prop(\"loA\"),hiA:O.prop(\"hiA\"),loB:O.prop(\"loB\"),hiB:O.prop(\"hiB\"),loC:O.prop(\"loC\"),hiC:O.prop(\"hiC\"),loD:O.prop(\"loD\"),hiD:O.prop(\"hiD\"),palette:j,colorClamp:O.prop(\"colorClamp\"),scatter:O.prop(\"scatter\")},offset:O.prop(\"offset\"),count:O.prop(\"count\")}),F=[0,1],N=[];return{setColorDomain:y,render:x,readPixel:w,readPixels:M,destroy:O.destroy}}},{\"./constants\":954,regl:480}],958:[function(t,e,r){\"use strict\";function n(t){return t.key}function i(t){return[t]}function a(t){return!(\"visible\"in t)||t.visible}function o(t){var e=t.range?t.range[0]:_.min(t.values),r=t.range?t.range[1]:_.max(t.values);return!isNaN(e)&&isFinite(e)||(e=0),!isNaN(r)&&isFinite(r)||(r=0),e===r&&(void 0===e?(e=0,r=1):0===e?(e-=1,r+=1):(e*=.9,r*=1.1)),[e,r]}function s(t,e){var r,n,i,a,o;for(r=0,n=t.range(),i=1/0,a=n[0],o;r<n.length;r++){if((o=Math.abs(n[r]-e))>i)return a;i=o,a=n[r]}return n[n.length-1]}function l(t,e,r){var n=o(r);return r.tickvals?_.scale.ordinal().domain(r.tickvals).range(r.tickvals.map(function(t){return(t-n[0])/(n[1]-n[0])}).map(function(r){return t-e+r*(e-(t-e))})):_.scale.linear().domain(n).range([t-e,e])}function u(t,e){return _.scale.linear().range([t-e,e])}function c(t){return _.scale.linear().domain(o(t))}function h(t){var e=o(t);return t.tickvals&&_.scale.ordinal().domain(t.tickvals).range(t.tickvals.map(function(t){return(t-e[0])/(e[1]-e[0])}))}function f(t){var e=t.map(function(t){return t[0]}),r=t.map(function(t){return t[1]}),n=r.map(function(t){return _.rgb(t)}),i=function(t){return function(e){return e[t]}},a=\"rgb\".split(\"\").map(function(t){return _.scale.linear().clamp(!0).domain(e).range(n.map(i(t)))});return function(t){return a.map(function(e){return e(t)})}}function d(t){return t[0]}function p(t,e,r){var n=d(e),i=n.trace,o=n.lineColor,s=n.cscale,l=i.line,u=i.domain,h=i.dimensions,p=t.width,m=x.extendDeep({},l,{color:o.map(c({values:o,range:[l.cmin,l.cmax]})),blockLineCount:b.blockLineCount,canvasOverdrag:b.overdrag*b.canvasPixelRatio}),g=Math.floor(p*(u.x[1]-u.x[0])),v=Math.floor(t.height*(u.y[1]-u.y[0])),y=t.margin||{l:80,r:80,t:100,b:80},_=g,w=v;return{key:r,colCount:h.filter(a).length,dimensions:h,tickDistance:b.tickDistance,unitToColor:f(s),lines:m,translateX:u.x[0]*p,translateY:t.height-u.y[1]*t.height,pad:y,canvasWidth:_*b.canvasPixelRatio+2*m.canvasOverdrag,canvasHeight:w*b.canvasPixelRatio,width:_,height:w,canvasPixelRatio:b.canvasPixelRatio}}function m(t){var e=t.width,r=t.height,n=t.dimensions,i=t.canvasPixelRatio,o=function(r){return e*r/Math.max(1,t.colCount-1)},s=b.verticalPadding/(r*i),f=1-2*s,d=function(t){return s+f*t},p={key:t.key,xScale:o,model:t},m={};return p.dimensions=n.filter(a).map(function(e,n){var a=c(e),s=m[e.label];return m[e.label]=(s||0)+1,{key:e.label+(s?\"__\"+s:\"\"),label:e.label,tickFormat:e.tickformat,tickvals:e.tickvals,ticktext:e.ticktext,ordinal:!!e.tickvals,scatter:b.scatter||e.scatter,xIndex:n,crossfilterDimensionIndex:n,visibleIndex:e._index,height:r,values:e.values,paddedUnitValues:e.values.map(a).map(d),xScale:o,x:o(n),canvasX:o(n)*i,unitScale:u(r,b.verticalPadding),domainScale:l(r,b.verticalPadding,e),ordinalScale:h(e),domainToUnitScale:a,filter:e.constraintrange?e.constraintrange.map(a):[0,1],parent:p,model:t}}),p}function g(t){return b.layers.map(function(e){return{key:e,context:\"contextLineLayer\"===e,pick:\"pickLineLayer\"===e,viewModel:t,model:t.model}})}function v(t){t.classed(\"axisExtentText\",!0).attr(\"text-anchor\",\"middle\").style(\"font-weight\",100).style(\"font-size\",\"10px\").style(\"cursor\",\"default\").style(\"user-select\",\"none\")}var y=t(\"./lines\"),b=t(\"./constants\"),x=t(\"../../lib\"),_=t(\"d3\");e.exports=function(t,e,r,a,o){function l(t){var e=t.selectAll(\"defs\").data(i,n);e.enter().append(\"defs\");var r=e.selectAll(\"#filterBarPattern\").data(i,n);r.enter().append(\"pattern\").attr(\"id\",\"filterBarPattern\").attr(\"patternUnits\",\"userSpaceOnUse\"),r.attr(\"x\",-b.bar.width).attr(\"width\",b.bar.capturewidth).attr(\"height\",function(t){return t.model.height});var a=r.selectAll(\"rect\").data(i,n);a.enter().append(\"rect\").attr(\"shape-rendering\",\"crispEdges\"),a.attr(\"height\",function(t){return t.model.height}).attr(\"width\",b.bar.width).attr(\"x\",b.bar.width/2).attr(\"fill\",b.bar.fillcolor).attr(\"fill-opacity\",b.bar.fillopacity).attr(\"stroke\",b.bar.strokecolor).attr(\"stroke-opacity\",b.bar.strokeopacity).attr(\"stroke-width\",b.bar.strokewidth)}function u(t){return t.dimensions.some(function(t){return 0!==t.filter[0]||1!==t.filter[1]})}function c(t,e){for(var r=e.panels||(e.panels=[]),n=t.each(function(t){return t})[e.key].map(function(t){return t.__data__}),i=n.length-1,a=0;a<1;a++)for(var o=0;o<i;o++){var s=r[o+a*i]||(r[o+a*i]={}),l=n[o],u=n[o+1];s.dim1=l,s.dim2=u,s.canvasX=l.canvasX,s.panelSizeX=u.canvasX-l.canvasX,s.panelSizeY=e.model.canvasHeight/1,s.y=a*s.panelSizeY,s.canvasY=e.model.canvasHeight-s.y-s.panelSizeY}}function h(t,e){for(var r=e.panels||(e.panels=[]),n=t.each(function(t){return t})[e.key].map(function(t){return t.__data__}),i=n.length-1,a=i,o=0;o<i;o++)for(var s=0;s<i;s++){var l=r[s+o*i]||(r[s+o*i]={}),u=n[s],c=n[s+1];l.dim1=n[o+1],l.dim2=c,l.canvasX=u.canvasX,l.panelSizeX=c.canvasX-u.canvasX,l.panelSizeY=e.model.canvasHeight/a,l.y=o*l.panelSizeY,l.canvasY=e.model.canvasHeight-l.y-l.panelSizeY}}function f(t,e){return(b.scatter?h:c)(t,e)}function x(t){return t.ordinal?function(){return\"\"}:_.format(t.tickFormat)}function w(){Y=!0,A=!0}function M(t){T=!1;var e=t.parent,r=t.brush.extent(),n=e.dimensions,i=n[t.xIndex].filter,a=Y&&r[0]===r[1];a&&(t.brush.clear(),_.select(this).select(\"rect.extent\").attr(\"y\",-100));var o=a?[0,1]:r.slice();if(o[0]!==i[0]||o[1]!==i[1]){n[t.xIndex].filter=o,e.focusLineLayer&&e.focusLineLayer.render(e.panels,!0);var s=u(e);!W&&s?(e.contextLineLayer&&e.contextLineLayer.render(e.panels,!0),W=!0):W&&!s&&(e.contextLineLayer&&e.contextLineLayer.render(e.panels,!0,!0),W=!1)}Y=!1}function k(t){var e=t.parent,r=t.brush.extent(),n=r[0]===r[1],i=e.dimensions,a=i[t.xIndex].filter;if(!n&&t.ordinal&&(a[0]=s(t.ordinalScale,a[0]),a[1]=s(t.ordinalScale,a[1]),a[0]===a[1]&&(a[0]=Math.max(0,a[0]-.05),a[1]=Math.min(1,a[1]+.05)),_.select(this).transition().duration(150).call(t.brush.extent(a)),e.focusLineLayer.render(e.panels,!0)),e.pickLineLayer&&e.pickLineLayer.render(e.panels,!0),T=!0,A=\"ending\",o&&o.filterChanged){var l=t.domainToUnitScale.invert,u=a.map(l);o.filterChanged(e.key,t.visibleIndex,u)}}var A=!1,T=!0,S=r.filter(function(t){return d(t).trace.visible}).map(p.bind(0,a)).map(m);t.selectAll(\".parcoords-line-layers\").remove();var E=t.selectAll(\".parcoords-line-layers\").data(S,n);E.enter().insert(\"div\",\".\"+e.attr(\"class\").split(\" \").join(\" .\")).classed(\"parcoords-line-layers\",!0).style(\"box-sizing\",\"content-box\"),E.style(\"transform\",function(t){return\"translate(\"+(t.model.translateX-b.overdrag)+\"px,\"+t.model.translateY+\"px)\"});var L=E.selectAll(\".parcoords-lines\").data(g,n),C={renderers:[],dimensions:[]},z=null;L.enter().append(\"canvas\").attr(\"class\",function(t){return\"parcoords-lines \"+(t.context?\"context\":t.pick?\"pick\":\"focus\")}).style(\"box-sizing\",\"content-box\").style(\"float\",\"left\").style(\"clear\",\"both\").style(\"left\",0).style(\"overflow\",\"visible\").style(\"position\",function(t,e){return\"absolute\"}).filter(function(t){return t.pick}).on(\"mousemove\",function(t){if(T&&t.lineLayer&&o&&o.hover){var e=_.event,r=this.width,n=this.height,i=_.mouse(this),a=i[0],s=i[1];if(a<0||s<0||a>=r||s>=n)return;var l=t.lineLayer.readPixel(a,n-1-s),u=0!==l[3],c=u?l[2]+256*(l[1]+256*l[0]):null,h={x:a,y:s,clientX:e.clientX,clientY:e.clientY,dataIndex:t.model.key,curveNumber:c};c!==z&&(u?o.hover(h):o.unhover&&o.unhover(h),z=c)}}),L.style(\"margin\",function(t){var e=t.model.pad;return e.t+\"px \"+e.r+\"px \"+e.b+\"px \"+e.l+\"px\"}).attr(\"width\",function(t){return t.model.canvasWidth}).attr(\"height\",function(t){return t.model.canvasHeight}).style(\"width\",function(t){return t.model.width+2*b.overdrag+\"px\"}).style(\"height\",function(t){return t.model.height+\"px\"}).style(\"opacity\",function(t){return t.pick?.01:1}),e.style(\"background\",\"rgba(255, 255, 255, 0)\");var D=e.selectAll(\".parcoords\").data(S,n);D.exit().remove(),D.enter().append(\"g\").classed(\"parcoords\",!0).attr(\"overflow\",\"visible\").style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"overflow\",\"visible\").style(\"shape-rendering\",\"crispEdges\").style(\"pointer-events\",\"none\").call(l),D.attr(\"width\",function(t){return t.model.width+t.model.pad.l+t.model.pad.r}).attr(\"height\",function(t){return t.model.height+t.model.pad.t+t.model.pad.b}).attr(\"transform\",function(t){return\"translate(\"+t.model.translateX+\",\"+t.model.translateY+\")\"});var I=D.selectAll(\".parcoordsControlView\").data(i,n);I.enter().append(\"g\").classed(\"parcoordsControlView\",!0).style(\"box-sizing\",\"content-box\"),I.attr(\"transform\",function(t){return\"translate(\"+t.model.pad.l+\",\"+t.model.pad.t+\")\"});var P=I.selectAll(\".yAxis\").data(function(t){return t.dimensions},n);P.enter().append(\"g\").classed(\"yAxis\",!0).each(function(t){C.dimensions.push(t)}),I.each(function(t){f(P,t)}),L.each(function(t){t.lineLayer=y(this,t.model.lines,t.model.canvasWidth,t.model.canvasHeight,t.viewModel.dimensions,t.viewModel.panels,t.model.unitToColor,t.context,t.pick,b.scatter),t.viewModel[t.key]=t.lineLayer,C.renderers.push(function(){t.lineLayer.render(t.viewModel.panels,!0)}),t.lineLayer.render(t.viewModel.panels,!t.context)}),P.attr(\"transform\",function(t){return\"translate(\"+t.xScale(t.xIndex)+\", 0)\"}),P.call(_.behavior.drag().origin(function(t){return t}).on(\"drag\",function(t){var e=t.parent;T=!1,A||(t.x=Math.max(-b.overdrag,Math.min(t.model.width+b.overdrag,_.event.x)),t.canvasX=t.x*t.model.canvasPixelRatio,P.sort(function(t,e){return t.x-e.x}).each(function(e,r){e.xIndex=r,e.x=t===e?e.x:e.xScale(e.xIndex),e.canvasX=e.x*e.model.canvasPixelRatio}),f(P,e),P.filter(function(e){return 0!==Math.abs(t.xIndex-e.xIndex)}).attr(\"transform\",function(t){return\"translate(\"+t.xScale(t.xIndex)+\", 0)\"}),_.select(this).attr(\"transform\",\"translate(\"+t.x+\", 0)\"),P.each(function(r,n,i){i===t.parent.key&&(e.dimensions[n]=r)}),e.contextLineLayer&&e.contextLineLayer.render(e.panels,!1,!u(e)),e.focusLineLayer.render&&e.focusLineLayer.render(e.panels))}).on(\"dragend\",function(t){var e=t.parent;if(A)return void(\"ending\"===A&&(A=!1));t.x=t.xScale(t.xIndex),t.canvasX=t.x*t.model.canvasPixelRatio,f(P,e),_.select(this).attr(\"transform\",function(t){return\"translate(\"+t.x+\", 0)\"}),e.contextLineLayer&&e.contextLineLayer.render(e.panels,!1,!u(e)),e.focusLineLayer&&e.focusLineLayer.render(e.panels),e.pickLineLayer&&e.pickLineLayer.render(e.panels,!0),T=!0,o&&o.axesMoved&&o.axesMoved(e.key,e.dimensions.map(function(t){return t.crossfilterDimensionIndex}))})),P.exit().remove();var O=P.selectAll(\".axisOverlays\").data(i,n);O.enter().append(\"g\").classed(\"axisOverlays\",!0),O.selectAll(\".axis\").remove();var j=O.selectAll(\".axis\").data(i,n);j.enter().append(\"g\").classed(\"axis\",!0),j.each(function(t){var e=t.model.height/t.model.tickDistance,r=t.domainScale,n=r.domain(),i=t.ticktext;_.select(this).call(_.svg.axis().orient(\"left\").tickSize(4).outerTickSize(2).ticks(e,t.tickFormat).tickValues(t.ordinal?n.map(function(t,e){return i&&i[e]||t}):null).tickFormat(t.ordinal?function(t){return t}:null).scale(r))}),j.selectAll(\".domain, .tick\").attr(\"fill\",\"none\").attr(\"stroke\",\"black\").attr(\"stroke-opacity\",.25).attr(\"stroke-width\",\"1px\"),j.selectAll(\"text\").style(\"font-weight\",100).style(\"font-size\",\"10px\").style(\"fill\",\"black\").style(\"fill-opacity\",1).style(\"stroke\",\"none\").style(\"text-shadow\",\"1px 1px 1px #fff, -1px -1px 1px #fff, 1px -1px 1px #fff, -1px 1px 1px #fff\").style(\"cursor\",\"default\").style(\"user-select\",\"none\");var R=O.selectAll(\".axisHeading\").data(i,n);R.enter().append(\"g\").classed(\"axisHeading\",!0);var F=R.selectAll(\".axisTitle\").data(i,n);F.enter().append(\"text\").classed(\"axisTitle\",!0).attr(\"text-anchor\",\"middle\").style(\"font-family\",\"sans-serif\").style(\"font-size\",\"10px\").style(\"cursor\",\"ew-resize\").style(\"user-select\",\"none\").style(\"pointer-events\",\"auto\"),F.attr(\"transform\",\"translate(0,\"+-b.axisTitleOffset+\")\").text(function(t){return t.label});var N=O.selectAll(\".axisExtent\").data(i,n);N.enter().append(\"g\").classed(\"axisExtent\",!0);var B=N.selectAll(\".axisExtentTop\").data(i,n);B.enter().append(\"g\").classed(\"axisExtentTop\",!0),B.attr(\"transform\",\"translate(0,\"+-b.axisExtentOffset+\")\");var U=B.selectAll(\".axisExtentTopText\").data(i,n);U.enter().append(\"text\").classed(\"axisExtentTopText\",!0).attr(\"alignment-baseline\",\"after-edge\").call(v),U.text(function(t){return x(t)(t.domainScale.domain().slice(-1)[0])});var V=N.selectAll(\".axisExtentBottom\").data(i,n);V.enter().append(\"g\").classed(\"axisExtentBottom\",!0),V.attr(\"transform\",function(t){return\"translate(0,\"+(t.model.height+b.axisExtentOffset)+\")\"});var H=V.selectAll(\".axisExtentBottomText\").data(i,n);H.enter().append(\"text\").classed(\"axisExtentBottomText\",!0).attr(\"alignment-baseline\",\"before-edge\").call(v),H.text(function(t){return x(t)(t.domainScale.domain()[0])});var q=O.selectAll(\".axisBrush\").data(i,n),G=q.enter().append(\"g\").classed(\"axisBrush\",!0);q.each(function(t){t.brush||(t.brush=_.svg.brush().y(t.unitScale).on(\"brushstart\",w).on(\"brush\",M).on(\"brushend\",k),0===t.filter[0]&&1===t.filter[1]||t.brush.extent(t.filter),_.select(this).call(t.brush))}),G.selectAll(\"rect\").attr(\"x\",-b.bar.capturewidth/2).attr(\"width\",b.bar.capturewidth),G.selectAll(\"rect.extent\").attr(\"fill\",\"url(#filterBarPattern)\").style(\"cursor\",\"ns-resize\").filter(function(t){return 0===t.filter[0]&&1===t.filter[1]}).attr(\"y\",-100),G.selectAll(\".resize rect\").attr(\"height\",b.bar.handleheight).attr(\"opacity\",0).style(\"visibility\",\"visible\"),G.selectAll(\".resize.n rect\").style(\"cursor\",\"n-resize\").attr(\"y\",b.bar.handleoverlap-b.bar.handleheight),G.selectAll(\".resize.s rect\").style(\"cursor\",\"s-resize\").attr(\"y\",b.bar.handleoverlap);var Y=!1,W=!1;return C}},{\"../../lib\":685,\"./constants\":954,\"./lines\":957,d3:107}],959:[function(t,e,r){\"use strict\";var n=t(\"./parcoords\");e.exports=function(t,e){var r=t._fullLayout,i=r._paper,a=r._paperdiv,o={},s={},l=r._size;e.forEach(function(e,r){o[r]=t.data[r].dimensions,s[r]=t.data[r].dimensions.slice()});var u=function(e,r,n){var i=s[e][r],a=i.constraintrange;a&&2===a.length||(a=i.constraintrange=[]),a[0]=n[0],a[1]=n[1],t.emit(\"plotly_restyle\")},c=function(e){t.emit(\"plotly_hover\",e)},h=function(e){t.emit(\"plotly_unhover\",e)},f=function(e,r){function n(t){return!(\"visible\"in t)||t.visible}function i(t,e,r){var n=e.indexOf(r),i=t.indexOf(n);return i===-1&&(i+=e.length),i}var a=function(t){return function(e,n){return i(r,t,e)-i(r,t,n)}}(s[e].filter(n));o[e].sort(a),s[e].filter(function(t){return!n(t)}).sort(function(t){return 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n=t(\"../../components/color/attributes\"),i=t(\"../../plots/font_attributes\"),a=t(\"../../plots/attributes\"),o=t(\"../../lib/extend\").extendFlat;e.exports={labels:{valType:\"data_array\"},label0:{valType:\"number\",dflt:0},dlabel:{valType:\"number\",dflt:1},values:{valType:\"data_array\"},marker:{colors:{valType:\"data_array\"},line:{color:{valType:\"color\",dflt:n.defaultLine,arrayOk:!0},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0}}},text:{valType:\"data_array\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},scalegroup:{valType:\"string\",dflt:\"\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"]},hoverinfo:o({},a.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0},textfont:o({},i,{}),insidetextfont:o({},i,{}),outsidetextfont:o({},i,{}),domain:{x:{valType:\"info_array\",items:[{valType:\"number\",min:0,max:1},{valType:\"number\",min:0,max:1}],dflt:[0,1]},y:{valType:\"info_array\",items:[{valType:\"number\",min:0,max:1},{valType:\"number\",min:0,max:1}],dflt:[0,1]}},hole:{valType:\"number\",min:0,max:1,dflt:0},sort:{valType:\"boolean\",dflt:!0},direction:{valType:\"enumerated\",values:[\"clockwise\",\"counterclockwise\"],dflt:\"counterclockwise\"},rotation:{valType:\"number\",min:-360,max:360,dflt:0},pull:{valType:\"number\",min:0,max:1,dflt:0,arrayOk:!0}}},{\"../../components/color/attributes\":577,\"../../lib/extend\":677,\"../../plots/attributes\":722,\"../../plots/font_attributes\":748}],961:[function(t,e,r){\"use 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l=i(e,u),f=w+e.pxmid[0]*(1-l),d=M+e.pxmid[1]*(1-l),p=r.separators,v=[];s.indexOf(\"label\")!==-1&&v.push(e.label),s.indexOf(\"text\")!==-1&&(o.hovertext?v.push(Array.isArray(o.hovertext)?o.hovertext[e.i]:o.hovertext):o.text&&o.text[e.i]&&v.push(o.text[e.i])),s.indexOf(\"value\")!==-1&&v.push(m.formatPieValue(e.v,p)),s.indexOf(\"percent\")!==-1&&v.push(m.formatPiePercent(e.v/u.vTotal,p)),h.loneHover({x0:f-l*u.r,x1:f+l*u.r,y:d,text:v.join(\"<br>\"),name:s.indexOf(\"name\")!==-1?o.name:void 0,color:e.color,idealAlign:e.pxmid[0]<0?\"left\":\"right\"},{container:a._hoverlayer.node(),outerContainer:a._paper.node()}),h.hover(t,n,\"pie\"),T=!0}function s(e){e.originalEvent=c.event,t.emit(\"plotly_unhover\",{event:c.event,points:[e]}),T&&(h.loneUnhover(r._hoverlayer.node()),T=!1)}function f(){t._hoverdata=[e],t._hoverdata.trace=u.trace,h.click(t,c.event)}function b(t,r,n,i){return\"a\"+i*u.r+\",\"+i*_+\" \"+y+\" \"+e.largeArc+(n?\" 1 \":\" 0 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i=r.marker.line.color;Array.isArray(i)&&(i=i[e.i]||n.defaultLine);var a=r.marker.line.width||0;Array.isArray(a)&&(a=a[e.i]||0),t.style({\"stroke-width\":a,fill:e.color}).call(n.stroke,i)}},{\"../../components/color\":578}],971:[function(t,e,r){\"use strict\";var n=t(\"../scattergl/attributes\");e.exports={x:n.x,y:n.y,xy:{valType:\"data_array\"},indices:{valType:\"data_array\"},xbounds:{valType:\"data_array\"},ybounds:{valType:\"data_array\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1},blend:{valType:\"boolean\",dflt:null},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5},sizemax:{valType:\"number\",min:.1,dflt:20},border:{color:{valType:\"color\",arrayOk:!1},arearatio:{valType:\"number\",min:0,max:1,dflt:0}}}}},{\"../scattergl/attributes\":1020}],972:[function(t,e,r){\"use strict\";function n(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=a(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}function i(t,e){var r=new n(t,e.uid);return r.update(e),r}var a=t(\"gl-pointcloud2d\"),o=t(\"../../lib/str2rgbarray\"),s=t(\"../scatter/get_trace_color\"),l=[\"xaxis\",\"yaxis\"],u=n.prototype;u.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},u.update=function(t){this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=s(t,{})},u.updateFast=function(t){var e,r,n,i,a,s,l=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,c=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,f=t.indices,d=this.bounds;if(c){if(n=c,e=c.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(s=0;s<e;s++)i=n[2*s],a=n[2*s+1],i<d[0]&&(d[0]=i),i>d[2]&&(d[2]=i),a<d[1]&&(d[1]=a),a>d[3]&&(d[3]=a);if(f)r=f;else for(r=new Int32Array(e),s=0;s<e;s++)r[s]=s}else for(e=l.length,n=new Float32Array(2*e),r=new 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r,n,i,a=e||.5,o=0;o<2;o++)r=this.scene[l[o]],n=r._min,n||(n=[]),n.push({val:t[o],pad:a}),i=r._max,i||(i=[]),i.push({val:t[o+2],pad:a})},u.dispose=function(){this.pointcloud.dispose()},e.exports=i},{\"../../lib/str2rgbarray\":703,\"../scatter/get_trace_color\":984,\"gl-pointcloud2d\":214}],973:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./attributes\");e.exports=function(t,e,r){function a(r,a){return n.coerce(t,e,i,r,a)}a(\"x\"),a(\"y\"),a(\"xbounds\"),a(\"ybounds\"),t.xy&&t.xy instanceof Float32Array&&(e.xy=t.xy),t.indices&&t.indices instanceof Int32Array&&(e.indices=t.indices),a(\"text\"),a(\"marker.color\",r),a(\"marker.opacity\"),a(\"marker.blend\"),a(\"marker.sizemin\"),a(\"marker.sizemax\"),a(\"marker.border.color\",r),a(\"marker.border.arearatio\")}},{\"../../lib\":685,\"./attributes\":971}],974:[function(t,e,r){\"use strict\";var n={};n.attributes=t(\"./attributes\"),n.supplyDefaults=t(\"./defaults\"),n.calc=t(\"../scatter3d/calc\"),n.plot=t(\"./convert\"),n.moduleType=\"trace\",n.name=\"pointcloud\",n.basePlotModule=t(\"../../plots/gl2d\"),n.categories=[\"gl2d\",\"showLegend\"],n.meta={},e.exports=n},{\"../../plots/gl2d\":764,\"../scatter3d/calc\":1e3,\"./attributes\":971,\"./convert\":972,\"./defaults\":973}],975:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){n.mergeArray(e.text,t,\"tx\"),n.mergeArray(e.hovertext,t,\"htx\"),n.mergeArray(e.customdata,t,\"data\"),n.mergeArray(e.textposition,t,\"tp\"),e.textfont&&(n.mergeArray(e.textfont.size,t,\"ts\"),n.mergeArray(e.textfont.color,t,\"tc\"),n.mergeArray(e.textfont.family,t,\"tf\"));var r=e.marker;if(r){n.mergeArray(r.size,t,\"ms\"),n.mergeArray(r.opacity,t,\"mo\"),n.mergeArray(r.symbol,t,\"mx\"),n.mergeArray(r.color,t,\"mc\");var 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n=t(\"../../components/colorscale/color_attributes\"),i=t(\"../../components/errorbars/attributes\"),a=t(\"../../components/colorbar/attributes\"),o=t(\"../../components/drawing/attributes\").dash,s=t(\"../../components/drawing\"),l=(t(\"./constants\"),t(\"../../lib/extend\").extendFlat);e.exports={x:{valType:\"data_array\"},x0:{valType:\"any\",dflt:0},dx:{valType:\"number\",dflt:1},y:{valType:\"data_array\"},y0:{valType:\"any\",dflt:0},customdata:{valType:\"data_array\"},dy:{valType:\"number\",dflt:1},ids:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},mode:{valType:\"flaglist\",flags:[\"lines\",\"markers\",\"text\"],extras:[\"none\"]},hoveron:{valType:\"flaglist\",flags:[\"points\",\"fills\"]},line:{color:{valType:\"color\"},width:{valType:\"number\",min:0,dflt:2},shape:{valType:\"enumerated\",values:[\"linear\",\"spline\",\"hv\",\"vh\",\"hvh\",\"vhv\"],dflt:\"linear\"},smoothing:{valType:\"number\",min:0,max:1.3,dflt:1},dash:o,simplify:{valType:\"boolean\",dflt:!0}},connectgaps:{valType:\"boolean\",dflt:!1},fill:{valType:\"enumerated\",values:[\"none\",\"tozeroy\",\"tozerox\",\"tonexty\",\"tonextx\",\"toself\",\"tonext\"],dflt:\"none\"},fillcolor:{valType:\"color\"},marker:l({},{symbol:{valType:\"enumerated\",values:s.symbolList,dflt:\"circle\",arrayOk:!0},opacity:{valType:\"number\",min:0,max:1,arrayOk:!0},size:{valType:\"number\",min:0,dflt:6,arrayOk:!0},maxdisplayed:{valType:\"number\",min:0,dflt:0},sizeref:{valType:\"number\",dflt:1},sizemin:{valType:\"number\",min:0,dflt:0},sizemode:{valType:\"enumerated\",values:[\"diameter\",\"area\"],dflt:\"diameter\"},showscale:{valType:\"boolean\",dflt:!1},colorbar:a,line:l({},{width:{valType:\"number\",min:0,arrayOk:!0}},n(\"marker.line\"))},n(\"marker\")),textposition:{valType:\"enumerated\",values:[\"top 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r,l,u,c=i.getFromId(t,e.xaxis||\"x\"),h=i.getFromId(t,e.yaxis||\"y\"),f=c.makeCalcdata(e,\"x\"),d=h.makeCalcdata(e,\"y\"),p=Math.min(f.length,d.length);c._minDtick=0,h._minDtick=0,f.length>p&&f.splice(p,f.length-p),d.length>p&&d.splice(p,d.length-p);var m={padded:!0},g={padded:!0};if(a.hasMarkers(e)){if(r=e.marker,l=r.size,Array.isArray(l)){var v={type:\"linear\"};i.setConvert(v),l=v.makeCalcdata(e.marker,\"size\"),l.length>p&&l.splice(p,l.length-p)}var y,b=1.6*(e.marker.sizeref||1);y=\"area\"===e.marker.sizemode?function(t){return Math.max(Math.sqrt((t||0)/b),3)}:function(t){return Math.max((t||0)/b,3)},m.ppad=g.ppad=Array.isArray(l)?l.map(y):y(l)}o(e),!(\"tozerox\"===e.fill||\"tonextx\"===e.fill&&t.firstscatter)||f[0]===f[p-1]&&d[0]===d[p-1]?e.error_y.visible||[\"tonexty\",\"tozeroy\"].indexOf(e.fill)===-1&&(a.hasMarkers(e)||a.hasText(e))||(m.padded=!1,m.ppad=0):m.tozero=!0,!(\"tozeroy\"===e.fill||\"tonexty\"===e.fill&&t.firstscatter)||f[0]===f[p-1]&&d[0]===d[p-1]?[\"tonextx\",\"tozerox\"].indexOf(e.fill)!==-1&&(g.padded=!1):g.tozero=!0,i.expand(c,f,m),i.expand(h,d,g);var x=new Array(p);for(u=0;u<p;u++)x[u]=n(f[u])&&n(d[u])?{x:f[u],y:d[u]}:{x:!1,y:!1},e.ids&&(x[u].id=String(e.ids[u]));return s(x,e),t.firstscatter=!1,x}},{\"../../plots/cartesian/axes\":724,\"./arrays_to_calcdata\":975,\"./colorscale_calc\":980,\"./subtypes\":996,\"fast-isnumeric\":116}],978:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=0;e<t.length;e++){var r=t[e];if(\"scatter\"===r.type){var n=r.fill;if(\"none\"!==n&&\"toself\"!==n&&(r.opacity=void 0,\"tonexty\"===n||\"tonextx\"===n))for(var i=e-1;i>=0;i--){var a=t[i];if(\"scatter\"===a.type&&a.xaxis===r.xaxis&&a.yaxis===r.yaxis){a.opacity=void 0;break}}}}}},{}],979:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=t(\"../../plots/plots\"),o=t(\"../../components/colorscale\"),s=t(\"../../components/colorbar/draw\");e.exports=function(t,e){var r=e[0].trace,l=r.marker,u=\"cb\"+r.uid;if(t._fullLayout._infolayer.selectAll(\".\"+u).remove(),void 0===l||!l.showscale)return void a.autoMargin(t,u);var c=l.color,h=l.cmin,f=l.cmax;n(h)||(h=i.aggNums(Math.min,null,c)),n(f)||(f=i.aggNums(Math.max,null,c));var d=e[0].t.cb=s(t,u),p=o.makeColorScaleFunc(o.extractScale(l.colorscale,h,f),{noNumericCheck:!0});d.fillcolor(p).filllevels({start:h,end:f,size:(f-h)/254}).options(l.colorbar)()}},{\"../../components/colorbar/draw\":581,\"../../components/colorscale\":592,\"../../lib\":685,\"../../plots/plots\":787,\"fast-isnumeric\":116}],980:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/has_colorscale\"),i=t(\"../../components/colorscale/calc\"),a=t(\"./subtypes\");e.exports=function(t){a.hasLines(t)&&n(t,\"line\")&&i(t,t.line.color,\"line\",\"c\"),a.hasMarkers(t)&&(n(t,\"marker\")&&i(t,t.marker.color,\"marker\",\"c\"),n(t,\"marker.line\")&&i(t,t.marker.line.color,\"marker.line\",\"c\"))}},{\"../../components/colorscale/calc\":584,\"../../components/colorscale/has_colorscale\":591,\"./subtypes\":996}],981:[function(t,e,r){\"use strict\";e.exports={PTS_LINESONLY:20}},{}],982:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./attributes\"),a=t(\"./constants\"),o=t(\"./subtypes\"),s=t(\"./xy_defaults\"),l=t(\"./marker_defaults\"),u=t(\"./line_defaults\"),c=t(\"./line_shape_defaults\"),h=t(\"./text_defaults\"),f=t(\"./fillcolor_defaults\"),d=t(\"../../components/errorbars/defaults\");e.exports=function(t,e,r,p){function m(r,a){return n.coerce(t,e,i,r,a)}var g=s(t,e,p,m),v=g<a.PTS_LINESONLY?\"lines+markers\":\"lines\";if(!g)return void(e.visible=!1);m(\"customdata\"),m(\"text\"),m(\"hovertext\"),m(\"mode\",v),m(\"ids\"),o.hasLines(e)&&(u(t,e,r,p,m),c(t,e,m),m(\"connectgaps\"),m(\"line.simplify\")),o.hasMarkers(e)&&l(t,e,r,p,m),o.hasText(e)&&h(t,e,p,m);var y=[];(o.hasMarkers(e)||o.hasText(e))&&(m(\"marker.maxdisplayed\"),y.push(\"points\")),m(\"fill\"),\"none\"!==e.fill&&(f(t,e,r,m),o.hasLines(e)||c(t,e,m)),\"tonext\"!==e.fill&&\"toself\"!==e.fill||y.push(\"fills\"),m(\"hoveron\",y.join(\"+\")||\"points\"),d(t,e,r,{axis:\"y\"}),d(t,e,r,{axis:\"x\",inherit:\"y\"})}},{\"../../components/errorbars/defaults\":607,\"../../lib\":685,\"./attributes\":976,\"./constants\":981,\"./fillcolor_defaults\":983,\"./line_defaults\":987,\"./line_shape_defaults\":989,\"./marker_defaults\":992,\"./subtypes\":996,\"./text_defaults\":997,\"./xy_defaults\":998}],983:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\");e.exports=function(t,e,r,i){var a=!1;if(e.marker){var o=e.marker.color,s=(e.marker.line||{}).color;o&&!Array.isArray(o)?a=o:s&&!Array.isArray(s)&&(a=s)}i(\"fillcolor\",n.addOpacity((e.line||{}).color||a||r,.5))}},{\"../../components/color\":578}],984:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"./subtypes\");e.exports=function(t,e){var r,a;if(\"lines\"===t.mode)return r=t.line.color,r&&n.opacity(r)?r:t.fillcolor;if(\"none\"===t.mode)return t.fill?t.fillcolor:\"\";var o=e.mcc||(t.marker||{}).color,s=e.mlcc||((t.marker||{}).line||{}).color;return a=o&&n.opacity(o)?o:s&&n.opacity(s)&&(e.mlw||((t.marker||{}).line||{}).width)?s:\"\",a?n.opacity(a)<.3?n.addOpacity(a,.3):a:(r=(t.line||{}).color,r&&n.opacity(r)&&i.hasLines(t)&&t.line.width?r:t.fillcolor)}},{\"../../components/color\":578,\"./subtypes\":996}],985:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../plots/cartesian/graph_interact\"),a=t(\"../../plots/cartesian/constants\"),o=t(\"../../components/errorbars\"),s=t(\"./get_trace_color\"),l=t(\"../../components/color\");e.exports=function(t,e,r,u){var c=t.cd,h=c[0].trace,f=t.xa,d=t.ya,p=f.c2p(e),m=d.c2p(r),g=[p,m];if(h.hoveron.indexOf(\"points\")!==-1){var v=function(t){var e=Math.max(3,t.mrc||0);return Math.max(Math.abs(f.c2p(t.x)-p)-e,1-3/e)},y=function(t){var e=Math.max(3,t.mrc||0);return Math.max(Math.abs(d.c2p(t.y)-m)-e,1-3/e)},b=function(t){var e=Math.max(3,t.mrc||0),r=f.c2p(t.x)-p,n=d.c2p(t.y)-m;return Math.max(Math.sqrt(r*r+n*n)-e,1-3/e)},x=i.getDistanceFunction(u,v,y,b);if(i.getClosest(c,x,t),t.index!==!1){var _=c[t.index],w=f.c2p(_.x,!0),M=d.c2p(_.y,!0),k=_.mrc||1;return 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v=\"projection.\"+m[g];f(v+\".show\")&&(f(v+\".opacity\"),f(v+\".scale\"))}c(t,e,r,{axis:\"z\"}),c(t,e,r,{axis:\"y\",inherit:\"z\"}),c(t,e,r,{axis:\"x\",inherit:\"z\"})}},{\"../../components/errorbars/defaults\":607,\"../../lib\":685,\"../../registry\":802,\"../scatter/line_defaults\":987,\"../scatter/marker_defaults\":992,\"../scatter/subtypes\":996,\"../scatter/text_defaults\":997,\"./attributes\":999}],1004:[function(t,e,r){\"use strict\";var n={};n.plot=t(\"./convert\"),n.attributes=t(\"./attributes\"),n.markerSymbols=t(\"../../constants/gl_markers\"),n.supplyDefaults=t(\"./defaults\"),n.colorbar=t(\"../scatter/colorbar\"),n.calc=t(\"./calc\"),n.moduleType=\"trace\",n.name=\"scatter3d\",n.basePlotModule=t(\"../../plots/gl3d\"),n.categories=[\"gl3d\",\"symbols\",\"markerColorscale\",\"showLegend\"],n.meta={},e.exports=n},{\"../../constants/gl_markers\":664,\"../../plots/gl3d\":767,\"../scatter/colorbar\":979,\"./attributes\":999,\"./calc\":1e3,\"./convert\":1002,\"./defaults\":1003}],1005:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../components/colorscale/color_attributes\"),o=t(\"../../components/colorbar/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=n.marker,u=n.line,c=l.line;e.exports={carpet:{valType:\"string\"},a:{valType:\"data_array\"},b:{valType:\"data_array\"},sum:{valType:\"number\",dflt:0,min:0},mode:s({},n.mode,{dflt:\"markers\"}),text:s({},n.text,{}),line:{color:u.color,width:u.width,dash:u.dash,shape:s({},u.shape,{values:[\"linear\",\"spline\"]}),smoothing:u.smoothing},connectgaps:n.connectgaps,fill:s({},n.fill,{values:[\"none\",\"toself\",\"tonext\"]}),fillcolor:n.fillcolor,marker:s({},{symbol:l.symbol,opacity:l.opacity,maxdisplayed:l.maxdisplayed,size:l.size,sizeref:l.sizeref,sizemin:l.sizemin,sizemode:l.sizemode,line:s({},{width:c.width},a(\"marker\".line))},a(\"marker\"),{showscale:l.showscale,colorbar:o}),textfont:n.textfont,textposition:n.textposition,hoverinfo:s({},i.hoverinfo,{flags:[\"a\",\"b\",\"c\",\"text\",\"name\"]}),hoveron:n.hoveron}},{\"../../components/colorbar/attributes\":579,\"../../components/colorscale/color_attributes\":585,\"../../lib/extend\":677,\"../../plots/attributes\":722,\"../scatter/attributes\":976}],1006:[function(t,e,r){\"use 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0!==y&&a.mergeArray(y,d,\"ms\"),d}}},{\"../../lib\":685,\"../../plots/cartesian/axes\":724,\"../carpet/lookup_carpetid\":858,\"../scatter/colorscale_calc\":980,\"../scatter/subtypes\":996,\"fast-isnumeric\":116}],1007:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../scatter/constants\"),a=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/line_shape_defaults\"),u=t(\"../scatter/text_defaults\"),c=t(\"../scatter/fillcolor_defaults\"),h=t(\"./attributes\");e.exports=function(t,e,r,f){function d(r,i){return n.coerce(t,e,h,r,i)}d(\"carpet\"),e.xaxis=\"x\",e.yaxis=\"y\";var p,m=d(\"a\"),g=d(\"b\");if(!(p=Math.min(m.length,g.length)))return void(e.visible=!1);m&&p<m.length&&(e.a=m.slice(0,p)),g&&p<g.length&&(e.b=g.slice(0,p)),d(\"sum\"),d(\"text\"),d(\"mode\",p<i.PTS_LINESONLY?\"lines+markers\":\"lines\"),a.hasLines(e)&&(s(t,e,r,f,d),l(t,e,d),d(\"connectgaps\")),a.hasMarkers(e)&&o(t,e,r,f,d),a.hasText(e)&&u(t,e,f,d);var v=[];(a.hasMarkers(e)||a.hasText(e))&&(d(\"marker.maxdisplayed\"),v.push(\"points\")),d(\"fill\"),\"none\"!==e.fill&&(c(t,e,r,d),a.hasLines(e)||l(t,e,d)),d(\"hoverinfo\",1===f._dataLength?\"a+b+text\":void 0),\"tonext\"!==e.fill&&\"toself\"!==e.fill||v.push(\"fills\"),d(\"hoveron\",v.join(\"+\")||\"points\")}},{\"../../lib\":685,\"../scatter/constants\":981,\"../scatter/fillcolor_defaults\":983,\"../scatter/line_defaults\":987,\"../scatter/line_shape_defaults\":989,\"../scatter/marker_defaults\":992,\"../scatter/subtypes\":996,\"../scatter/text_defaults\":997,\"./attributes\":1005}],1008:[function(t,e,r){\"use strict\";var n=t(\"../scatter/hover\");e.exports=function(t,e,r,i){function a(t,e){g.push((t.labelprefix&&t.labelprefix.length>0?t.labelprefix:t._hovertitle+\": \")+e.toFixed(3)+t.labelsuffix)}var o=n(t,e,r,i);if(o&&o[0].index!==!1){var s=o[0];if(void 0===s.index){var l=1-s.y0/t.ya._length,u=t.xa._length,c=u*l/2,h=u-c;return s.x0=Math.max(Math.min(s.x0,h),c),s.x1=Math.max(Math.min(s.x1,h),c),o}var f=s.cd[s.index];s.a=f.a,s.b=f.b,s.xLabelVal=void 0,s.yLabelVal=void 0;var d=s.trace,p=d._carpet,m=d.hoverinfo.split(\"+\"),g=[];m.indexOf(\"all\")!==-1&&(m=[\"a\",\"b\"]),m.indexOf(\"a\")!==-1&&a(p.aaxis,f.a),m.indexOf(\"b\")!==-1&&a(p.baxis,f.b);var v=p.ab2ij([f.a,f.b]),y=Math.floor(v[0]),b=v[0]-y,x=Math.floor(v[1]),_=v[1]-x,w=p.evalxy([],y,x,b,_);return g.push(\"y: \"+w[1].toFixed(3)),s.extraText=g.join(\"<br>\"),o}}},{\"../scatter/hover\":985}],1009:[function(t,e,r){\"use strict\";var n={};n.attributes=t(\"./attributes\"),n.supplyDefaults=t(\"./defaults\"),n.colorbar=t(\"../scatter/colorbar\"),n.calc=t(\"./calc\"),n.plot=t(\"./plot\"),n.style=t(\"./style\"),n.hoverPoints=t(\"./hover\"),n.selectPoints=t(\"./select\"),n.moduleType=\"trace\",n.name=\"scattercarpet\",n.basePlotModule=t(\"../../plots/cartesian\"),n.categories=[\"carpet\",\"symbols\",\"markerColorscale\",\"showLegend\",\"carpetDependent\"],n.meta={},e.exports=n},{\"../../plots/cartesian\":734,\"../scatter/colorbar\":979,\"./attributes\":1005,\"./calc\":1006,\"./defaults\":1007,\"./hover\":1008,\"./plot\":1010,\"./select\":1011,\"./style\":1012}],1010:[function(t,e,r){\"use strict\";var n=t(\"../scatter/plot\"),i=t(\"../../plots/cartesian/axes\");e.exports=function(t,e,r){var a,o,s,l=r[0][0].carpet,u={xaxis:i.getFromId(t,l.xaxis||\"x\"),yaxis:i.getFromId(t,l.yaxis||\"y\"),plot:e.plot};for(n(u.graphDiv,u,r),a=0;a<r.length;a++)o=r[a][0].trace,s=u.plot.selectAll(\"g.trace\"+o.uid+\" .js-line\"),s.attr(\"clip-path\",\"url(#clip\"+l.uid+\"carpet)\")}},{\"../../plots/cartesian/axes\":724,\"../scatter/plot\":993}],1011:[function(t,e,r){\"use strict\";var n=t(\"../scatter/select\");e.exports=function(t,e){var r=n(t,e);if(r){var i,a,o,s=t.cd;for(o=0;o<r.length;o++)i=r[o],a=s[i.pointNumber],i.a=a.a,i.b=a.b,i.c=a.c,delete i.x,delete i.y;return r}}},{\"../scatter/select\":994}],1012:[function(t,e,r){\"use strict\";var n=t(\"../scatter/style\");e.exports=function(t){for(var e=t._fullLayout._modules,r=0;r<e.length;r++)if(\"scatter\"===e[r].name)return;n(t)}},{\"../scatter/style\":995}],1013:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../components/colorscale/color_attributes\"),o=t(\"../../components/drawing/attributes\").dash,s=t(\"../../lib/extend\").extendFlat,l=n.marker,u=n.line,c=l.line;e.exports={lon:{valType:\"data_array\"},lat:{valType:\"data_array\"},locations:{valType:\"data_array\"},locationmode:{valType:\"enumerated\",values:[\"ISO-3\",\"USA-states\",\"country names\"],dflt:\"ISO-3\"},mode:s({},n.mode,{dflt:\"markers\"}),text:s({},n.text,{}),hovertext:s({},n.hovertext,{}),textfont:n.textfont,textposition:n.textposition,line:{color:u.color,width:u.width,dash:o},connectgaps:n.connectgaps,marker:s({},{symbol:l.symbol,opacity:l.opacity,size:l.size,sizeref:l.sizeref,sizemin:l.sizemin,sizemode:l.sizemode,showscale:l.showscale,colorbar:l.colorbar,line:s({},{width:c.width},a(\"marker.line\"))},a(\"marker\")),fill:{valType:\"enumerated\",values:[\"none\",\"toself\"],dflt:\"none\"},fillcolor:n.fillcolor,hoverinfo:s({},i.hoverinfo,{flags:[\"lon\",\"lat\",\"location\",\"text\",\"name\"]})}},{\"../../components/colorscale/color_attributes\":585,\"../../components/drawing/attributes\":601,\"../../lib/extend\":677,\"../../plots/attributes\":722,\"../scatter/attributes\":976}],1014:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../constants/numerical\").BADNUM,a=t(\"../scatter/colorscale_calc\"),o=t(\"../scatter/arrays_to_calcdata\");e.exports=function(t,e){for(var r=Array.isArray(e.locations),s=r?e.locations.length:e.lon.length,l=new Array(s),u=0;u<s;u++){var c=l[u]={};if(r){var h=e.locations[u];c.loc=\"string\"==typeof h?h:null}else{var f=e.lon[u],d=e.lat[u];n(f)&&n(d)?c.lonlat=[+f,+d]:c.lonlat=[i,i]}}return o(l,e),a(e),l}},{\"../../constants/numerical\":666,\"../scatter/arrays_to_calcdata\":975,\"../scatter/colorscale_calc\":980,\"fast-isnumeric\":116}],1015:[function(t,e,r){\"use strict\";function n(t,e,r){var n,i,a=0,o=r(\"locations\");return o?(r(\"locationmode\"),a=o.length):(n=r(\"lon\")||[],i=r(\"lat\")||[],a=Math.min(n.length,i.length),a<n.length&&(e.lon=n.slice(0,a)),a<i.length&&(e.lat=i.slice(0,a)),a)}var i=t(\"../../lib\"),a=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/text_defaults\"),u=t(\"../scatter/fillcolor_defaults\"),c=t(\"./attributes\");e.exports=function(t,e,r,h){function f(r,n){return i.coerce(t,e,c,r,n)}if(!n(t,e,f))return void(e.visible=!1);f(\"text\"),f(\"hovertext\"),f(\"mode\"),a.hasLines(e)&&(s(t,e,r,h,f),f(\"connectgaps\")),a.hasMarkers(e)&&o(t,e,r,h,f),a.hasText(e)&&l(t,e,h,f),f(\"fill\"),\"none\"!==e.fill&&u(t,e,r,f),f(\"hoverinfo\",1===h._dataLength?\"lon+lat+location+text\":void 0)}},{\"../../lib\":685,\"../scatter/fillcolor_defaults\":983,\"../scatter/line_defaults\":987,\"../scatter/marker_defaults\":992,\"../scatter/subtypes\":996,\"../scatter/text_defaults\":997,\"./attributes\":1013}],1016:[function(t,e,r){\"use strict\";e.exports=function(t,e){return t.lon=e.lon,t.lat=e.lat,t.location=e.lon?e.lon:null,t}},{}],1017:[function(t,e,r){\"use strict\";function n(t,e,r){function n(t){return a.tickText(r,r.c2l(t),\"hover\").text+\"\\xb0\"}var i=t.hoverinfo,o=\"all\"===i?l.hoverinfo.flags:i.split(\"+\"),s=o.indexOf(\"location\")!==-1&&Array.isArray(t.locations),u=o.indexOf(\"lon\")!==-1,c=o.indexOf(\"lat\")!==-1,h=o.indexOf(\"text\")!==-1,f=[];if(s?f.push(e.loc):u&&c?f.push(\"(\"+n(e.lonlat[0])+\", \"+n(e.lonlat[1])+\")\"):u?f.push(\"lon: \"+n(e.lonlat[0])):c&&f.push(\"lat: \"+n(e.lonlat[1])),h){var d;e.htx?d=e.htx:t.hovertext?d=t.hovertext:e.tx?d=e.tx:t.text&&(d=t.text),Array.isArray(d)||f.push(d)}return f.join(\"<br>\")}var i=t(\"../../plots/cartesian/graph_interact\"),a=t(\"../../plots/cartesian/axes\"),o=t(\"../../constants/numerical\").BADNUM,s=t(\"../scatter/get_trace_color\"),l=t(\"./attributes\");e.exports=function(t){function e(t){return h.projection(t)}function r(t){var r=t.lonlat;if(r[0]===o)return 1/0;if(h.isLonLatOverEdges(r))return 1/0;var n=e(r),i=u.c2p(),a=c.c2p(),s=Math.abs(i-n[0]),l=Math.abs(a-n[1]),f=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(s*s+l*l)-f,1-3/f)}var a=t.cd,l=a[0].trace,u=t.xa,c=t.ya,h=t.subplot;if(i.getClosest(a,r,t),t.index!==!1){var f=a[t.index],d=f.lonlat,p=e(d),m=f.mrc||1;return t.x0=p[0]-m,t.x1=p[0]+m,t.y0=p[1]-m,t.y1=p[1]+m,t.loc=f.loc,t.lat=d[0],t.lon=d[1],t.color=s(l,f),t.extraText=n(l,f,h.mockAxis),[t]}}},{\"../../constants/numerical\":666,\"../../plots/cartesian/axes\":724,\"../../plots/cartesian/graph_interact\":733,\"../scatter/get_trace_color\":984,\"./attributes\":1013}],1018:[function(t,e,r){\"use strict\";var n={};n.attributes=t(\"./attributes\"),n.supplyDefaults=t(\"./defaults\"),n.colorbar=t(\"../scatter/colorbar\"),n.calc=t(\"./calc\"),n.plot=t(\"./plot\"),n.hoverPoints=t(\"./hover\"),n.eventData=t(\"./event_data\"),n.moduleType=\"trace\",n.name=\"scattergeo\",n.basePlotModule=t(\"../../plots/geo\"),n.categories=[\"geo\",\"symbols\",\"markerColorscale\",\"showLegend\"],n.meta={},e.exports=n},{\"../../plots/geo\":752,\"../scatter/colorbar\":979,\"./attributes\":1013,\"./calc\":1014,\"./defaults\":1015,\"./event_data\":1016,\"./hover\":1017,\"./plot\":1019}],1019:[function(t,e,r){\"use strict\";function n(t,e){var r=t[0].trace;if(Array.isArray(r.locations))for(var n=c(r,e),i=r.locationmode,a=0;a<t.length;a++){var o=t[a],s=h(i,o.loc,n);o.lonlat=s?s.properties.ct:[u,u]}}function i(t){var e=t.framework.selectAll(\"g.trace.scattergeo\");e.style(\"opacity\",function(t){return t[0].trace.opacity}),e.each(function(t){var e=t[0].trace,r=a.select(this);r.selectAll(\"path.point\").call(o.pointStyle,e),r.selectAll(\"text\").call(o.textPointStyle,e)}),e.selectAll(\"path.js-line\").style(\"fill\",\"none\").each(function(t){var e=a.select(this),r=t.trace,n=r.line||{};e.call(s.stroke,n.color).call(o.dashLine,n.dash||\"\",n.width||0),\"none\"!==r.fill&&e.call(s.fill,r.fillcolor)})}var a=t(\"d3\"),o=t(\"../../components/drawing\"),s=t(\"../../components/color\"),l=t(\"../../lib\"),u=t(\"../../constants/numerical\").BADNUM,c=t(\"../../lib/topojson_utils\").getTopojsonFeatures,h=t(\"../../lib/geo_location_utils\").locationToFeature,f=t(\"../../lib/geojson_utils\"),d=t(\"../scatter/subtypes\");e.exports=function(t,e){function r(t){return t[0].trace.uid}function o(t,e){t.lonlat[0]===u&&a.select(e).remove()}for(var s=0;s<e.length;s++)n(e[s],t.topojson);var c=t.framework.select(\".scattergeolayer\").selectAll(\"g.trace.scattergeo\").data(e,r);c.enter().append(\"g\").attr(\"class\",\"trace 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n=t(\"../scatter/attributes\"),i=t(\"../../components/colorscale/color_attributes\"),a=t(\"../../constants/gl2d_dashes\"),o=t(\"../../constants/gl_markers\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../lib/extend\").extendDeep,u=n.line,c=n.marker,h=c.line;e.exports={x:n.x,x0:n.x0,dx:n.dx,y:n.y,y0:n.y0,dy:n.dy,text:s({},n.text,{}),mode:{valType:\"flaglist\",flags:[\"lines\",\"markers\"],extras:[\"none\"]},line:{color:u.color,width:u.width,dash:{valType:\"enumerated\",values:Object.keys(a),dflt:\"solid\"}},marker:l({},i(\"marker\"),{symbol:{valType:\"enumerated\",values:Object.keys(o),dflt:\"circle\",arrayOk:!0},size:c.size,sizeref:c.sizeref,sizemin:c.sizemin,sizemode:c.sizemode,opacity:c.opacity,showscale:c.showscale,colorbar:c.colorbar,line:l({},i(\"marker.line\"),{width:h.width})}),connectgaps:n.connectgaps,fill:s({},n.fill,{values:[\"none\",\"tozeroy\",\"tozerox\"]}),fillcolor:n.fillcolor,error_y:n.error_y,error_x:n.error_x}},{\"../../components/colorscale/color_attributes\":585,\"../../constants/gl2d_dashes\":662,\"../../constants/gl_markers\":664,\"../../lib/extend\":677,\"../scatter/attributes\":976}],1021:[function(t,e,r){\"use strict\";function n(t,e){this.scene=t,this.uid=e,this.type=\"scattergl\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.connectgaps=!0,this.index=null,this.idToIndex=[],this.bounds=[0,0,0,0],this.isVisible=!1,this.hasLines=!1,this.hasErrorX=!1,this.hasErrorY=!1,this.hasMarkers=!1,this.line=this.initObject(d,{positions:new Float64Array(0),color:[0,0,0,1],width:1,fill:[!1,!1,!1,!1],fillColor:[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],dashes:[1]},0),this.errorX=this.initObject(p,{positions:new Float64Array(0),errors:new Float64Array(0),lineWidth:1,capSize:0,color:[0,0,0,1]},1),this.errorY=this.initObject(p,{positions:new Float64Array(0),errors:new Float64Array(0),lineWidth:1,capSize:0,color:[0,0,0,1]},2);var r={positions:new 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v=0;v<a;++v)e=n[v],r=i[v],m(r)&&(d||(e=g.dateTime2ms(e,f)),o[c++]=v,s[h++]=e,s[h++]=r,l[0]=Math.min(l[0],e),l[1]=Math.min(l[1],r),l[2]=Math.max(l[2],e),l[3]=Math.max(l[3],r));s=_(s,h),this.idToIndex=o,this.updateLines(t,s),this.updateError(\"X\",t),this.updateError(\"Y\",t);var b;if(this.hasMarkers){this.scatter.options.positions=s;var w=x(t.marker.color),M=x(t.marker.line.color),k=t.opacity*t.marker.opacity;w[3]*=k,this.scatter.options.color=w,M[3]*=k,this.scatter.options.borderColor=M,b=t.marker.size,this.scatter.options.size=b,this.scatter.options.borderSize=t.marker.line.width,this.scatter.update()}else this.scatter.clear();this.fancyScatter.clear(),this.expandAxesFast(l,b)},L.updateFancy=function(t){var e=this.scene,r=e.xaxis,n=e.yaxis,a=this.bounds,o=this.pickXData=r.makeCalcdata(t,\"x\").slice(),l=this.pickYData=n.makeCalcdata(t,\"y\").slice();this.xData=o.slice(),this.yData=l.slice();var u,c,h,f,d,p,m,g,v=b.calcFromTrace(t,e.fullLayout),y=o.length,x=new Array(y),w=new 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O,j=k(t),R=t.marker,F=R.opacity,N=t.opacity,B=s(R,F,N,y),U=D(R.symbol,y),V=C(R.line.width,y),H=s(R.line,F,N,y);for(P=i(j,R.size,y),u=0;u<T;++u)for(O=x[u],this.scatter.options.sizes[u]=4*P[O],this.scatter.options.glyphs[u]=U[O],this.scatter.options.borderWidths[u]=.5*V[O],c=0;c<4;++c)this.scatter.options.colors[4*u+c]=B[4*O+c],this.scatter.options.borderColors[4*u+c]=H[4*O+c];this.fancyScatter.update()}else this.fancyScatter.clear();this.scatter.clear(),this.expandAxesFancy(o,l,P)},L.updateLines=function(t,e){var r;if(this.hasLines){var n=e;if(!t.connectgaps){var i=0,a=this.xData,s=this.yData;for(n=new Float64Array(2*a.length),r=0;r<a.length;++r)n[i++]=a[r],n[i++]=s[r]}this.line.options.positions=n;var l=o(t.line.color,t.opacity,1),u=Math.round(.5*this.line.options.width),c=(S[t.line.dash]||[1]).slice();for(r=0;r<c.length;++r)c[r]*=u;switch(t.fill){case\"tozeroy\":this.line.options.fill=[!1,!0,!1,!1];break;case\"tozerox\":this.line.options.fill=[!0,!1,!1,!1];break;default:this.line.options.fill=[!1,!1,!1,!1]}var h=x(t.fillcolor);this.line.options.color=l,this.line.options.width=2*t.line.width,this.line.options.dashes=c,this.line.options.fillColor=[h,h,h,h],this.line.update()}else this.line.clear()},L.updateError=function(t,e,r,n){var i=this[\"error\"+t],a=e[\"error_\"+t.toLowerCase()];\"x\"===t.toLowerCase()&&a.copy_ystyle&&(a=e.error_y),this[\"hasError\"+t]?(i.options.positions=r,i.options.errors=n,i.options.capSize=a.width,i.options.lineWidth=a.thickness/2,i.options.color=o(a.color,1,1),i.update()):i.clear()},L.expandAxesFast=function(t,e){for(var r,n,i,a=e||10,o=0;o<2;o++)r=this.scene[E[o]],n=r._min,n||(n=[]),n.push({val:t[o],pad:a}),i=r._max,i||(i=[]),i.push({val:t[o+2],pad:a})},L.expandAxesFancy=function(t,e,r){var n=this.scene,i={padded:!0,ppad:r};v.expand(n.xaxis,t,i),v.expand(n.yaxis,e,i)},L.dispose=function(){this.line.dispose(),this.errorX.dispose(),this.errorY.dispose(),this.scatter.dispose(),this.fancyScatter.dispose()},e.exports=c},{\"../../components/errorbars\":608,\"../../constants/gl2d_dashes\":662,\"../../constants/gl_markers\":664,\"../../lib\":685,\"../../lib/gl_format_color\":682,\"../../lib/str2rgbarray\":703,\"../../lib/typed_array_truncate\":707,\"../../plots/cartesian/axes\":724,\"../../plots/cartesian/axis_autotype\":725,\"../scatter/get_trace_color\":984,\"../scatter/make_bubble_size_func\":991,\"../scatter/subtypes\":996,\"fast-isnumeric\":116,\"gl-error2d\":144,\"gl-line2d\":154,\"gl-scatter2d\":232,\"gl-scatter2d-sdf\":227}],1022:[function(t,e,r){\"use strict\";var 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n=t(\"../scatter/hover\"),i=t(\"../../plots/cartesian/axes\");e.exports=function(t,e,r,a){function o(t,e){v.push(t._hovertitle+\": \"+i.tickText(t,e,\"hover\").text)}var s=n(t,e,r,a);if(s&&s[0].index!==!1){var l=s[0];if(void 0===l.index){var u=1-l.y0/t.ya._length,c=t.xa._length,h=c*u/2,f=c-h;return l.x0=Math.max(Math.min(l.x0,f),h),l.x1=Math.max(Math.min(l.x1,f),h),s}var d=l.cd[l.index];l.a=d.a,l.b=d.b,l.c=d.c,l.xLabelVal=void 0,l.yLabelVal=void 0;var p=l.trace,m=p._ternary,g=p.hoverinfo.split(\"+\"),v=[];return g.indexOf(\"all\")!==-1&&(g=[\"a\",\"b\",\"c\"]),g.indexOf(\"a\")!==-1&&o(m.aaxis,d.a),g.indexOf(\"b\")!==-1&&o(m.baxis,d.b),g.indexOf(\"c\")!==-1&&o(m.caxis,d.c),l.extraText=v.join(\"<br>\"),s}}},{\"../../plots/cartesian/axes\":724,\"../scatter/hover\":985}],1035:[function(t,e,r){\"use strict\";var n={};n.attributes=t(\"./attributes\"),n.supplyDefaults=t(\"./defaults\"),n.colorbar=t(\"../scatter/colorbar\"),n.calc=t(\"./calc\"),n.plot=t(\"./plot\"),n.style=t(\"./style\"),n.hoverPoints=t(\"./hover\"),n.selectPoints=t(\"./select\"),n.moduleType=\"trace\",n.name=\"scatterternary\",n.basePlotModule=t(\"../../plots/ternary\"),n.categories=[\"ternary\",\"symbols\",\"markerColorscale\",\"showLegend\"],n.meta={},e.exports=n},{\"../../plots/ternary\":795,\"../scatter/colorbar\":979,\"./attributes\":1031,\"./calc\":1032,\"./defaults\":1033,\"./hover\":1034,\"./plot\":1036,\"./select\":1037,\"./style\":1038}],1036:[function(t,e,r){\"use strict\";var n=t(\"../scatter/plot\");e.exports=function(t,e){var r=t.plotContainer;r.select(\".scatterlayer\").selectAll(\"*\").remove();for(var i={xaxis:t.xaxis,yaxis:t.yaxis,plot:r},a=0;a<e.length;a++)e[a][0].trace._ternary=t;n(t.graphDiv,i,e)}},{\"../scatter/plot\":993}],1037:[function(t,e,r){arguments[4][1011][0].apply(r,arguments)},{\"../scatter/select\":994,dup:1011}],1038:[function(t,e,r){arguments[4][1012][0].apply(r,arguments)},{\"../scatter/style\":995,dup:1012}],1039:[function(t,e,r){\"use strict\";function n(t){return{valType:\"boolean\",dflt:!1}}function i(t){return{show:{valType:\"boolean\",dflt:!1},project:{x:n(\"x\"),y:n(\"y\"),z:n(\"z\")},color:{valType:\"color\",dflt:a.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:a.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var a=t(\"../../components/color\"),o=t(\"../../components/colorscale/attributes\"),s=t(\"../../components/colorbar/attributes\"),l=t(\"../../lib/extend\").extendFlat;e.exports={z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"data_array\"},surfacecolor:{valType:\"data_array\"},cauto:o.zauto,cmin:o.zmin,cmax:o.zmax,colorscale:o.colorscale,autocolorscale:l({},o.autocolorscale,{dflt:!1}),reversescale:o.reversescale,showscale:o.showscale,colorbar:s,contours:{x:i(\"x\"),y:i(\"y\"),z:i(\"z\")},hidesurface:{valType:\"boolean\",dflt:!1},lightposition:{x:{valType:\"number\",min:-1e5,max:1e5,dflt:10},y:{valType:\"number\",min:-1e5,max:1e5,dflt:1e4},z:{valType:\"number\",min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:\"number\",min:0,max:1,dflt:.8},diffuse:{valType:\"number\",min:0,max:1,dflt:.8},specular:{valType:\"number\",min:0,max:2,dflt:.05},roughness:{valType:\"number\",min:0,max:1,dflt:.5},fresnel:{valType:\"number\",min:0,max:5,dflt:.2}},opacity:{valType:\"number\",min:0,max:1,dflt:1},_deprecated:{zauto:l({},o.zauto,{}),zmin:l({},o.zmin,{}),zmax:l({},o.zmax,{})}}},{\"../../components/color\":578,\"../../components/colorbar/attributes\":579,\"../../components/colorscale/attributes\":583,\"../../lib/extend\":677}],1040:[function(t,e,r){\"use 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f=e[0].t.cb=s(t,l),d=o.makeColorScaleFunc(o.extractScale(r.colorscale,u,c),{noNumericCheck:!0});f.fillcolor(d).filllevels({start:u,end:c,size:(c-u)/254}).options(r.colorbar)()}},{\"../../components/colorbar/draw\":581,\"../../components/colorscale\":592,\"../../lib\":685,\"../../plots/plots\":787,\"fast-isnumeric\":116}],1042:[function(t,e,r){\"use strict\";function n(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.dataScale=1}function i(t,e){return void 0===e&&(e=1),t.map(function(t){var r=t[0],n=p(t[1]),i=n.toRgb();return{index:r,rgb:[i.r,i.g,i.b,e]}})}function a(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]}function o(t){var e=t.shape,r=[e[0]+2,e[1]+2],n=c(new Float32Array(r[0]*r[1]),r);return d.assign(n.lo(1,1).hi(e[0],e[1]),t),d.assign(n.lo(1).hi(e[0],1),t.hi(e[0],1)),d.assign(n.lo(1,r[1]-1).hi(e[0],1),t.lo(0,e[1]-1).hi(e[0],1)),d.assign(n.lo(0,1).hi(1,e[1]),t.hi(1)),d.assign(n.lo(r[0]-1,1).hi(1,e[1]),t.lo(e[0]-1)),n.set(0,0,t.get(0,0)),n.set(0,r[1]-1,t.get(0,e[1]-1)),n.set(r[0]-1,0,t.get(e[0]-1,0)),n.set(r[0]-1,r[1]-1,t.get(e[0]-1,e[1]-1)),n}function s(t){var e=Math.max(t[0].shape[0],t[0].shape[1]);if(e<g){for(var r=g/e,n=[0|Math.floor(t[0].shape[0]*r+1),0|Math.floor(t[0].shape[1]*r+1)],i=n[0]*n[1],a=0;a<t.length;++a){var s=o(t[a]),l=c(new Float32Array(i),n);h(l,s,[r,0,0,0,r,0,0,0,1]),t[a]=l}return r}return 1}function l(t,e){var r=t.glplot.gl,i=u({gl:r}),a=new n(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a}var u=t(\"gl-surface3d\"),c=t(\"ndarray\"),h=t(\"ndarray-homography\"),f=t(\"ndarray-fill\"),d=t(\"ndarray-ops\"),p=t(\"tinycolor2\"),m=t(\"../../lib/str2rgbarray\"),g=128,v=n.prototype;v.handlePick=function(t){if(t.object===this.surface){var e=[Math.min(0|Math.round(t.data.index[0]/this.dataScale-1),this.data.z[0].length-1),Math.min(0|Math.round(t.data.index[1]/this.dataScale-1),this.data.z.length-1)],r=[0,0,0];Array.isArray(this.data.x[0])?r[0]=this.data.x[e[1]][e[0]]:r[0]=this.data.x[e[0]],Array.isArray(this.data.y[0])?r[1]=this.data.y[e[1]][e[0]]:r[1]=this.data.y[e[1]],r[2]=this.data.z[e[1]][e[0]],t.traceCoordinate=r;var n=this.scene.fullSceneLayout;t.dataCoordinate=[n.xaxis.d2l(r[0],0,this.data.xcalendar)*this.scene.dataScale[0],n.yaxis.d2l(r[1],0,this.data.ycalendar)*this.scene.dataScale[1],n.zaxis.d2l(r[2],0,this.data.zcalendar)*this.scene.dataScale[2]];var i=this.data.text;return i&&i[e[1]]&&void 0!==i[e[1]][e[0]]?t.textLabel=i[e[1]][e[0]]:t.textLabel=\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}},v.setContourLevels=function(){for(var t=[[],[],[]],e=!1,r=0;r<3;++r)this.showContour[r]&&(e=!0,t[r]=this.scene.contourLevels[r]);e&&this.surface.update({levels:t})},v.update=function(t){var e,r=this.scene,n=r.fullSceneLayout,o=this.surface,l=t.opacity,u=i(t.colorscale,l),h=t.z,d=t.x,p=t.y,g=n.xaxis,v=n.yaxis,y=n.zaxis,b=r.dataScale,x=h[0].length,_=h.length,w=[c(new Float32Array(x*_),[x,_]),c(new Float32Array(x*_),[x,_]),c(new Float32Array(x*_),[x,_])],M=w[0],k=w[1],A=r.contourLevels;this.data=t;var T=t.xcalendar,S=t.ycalendar,E=t.zcalendar;f(w[2],function(t,e){return y.d2l(h[e][t],0,E)*b[2]}),Array.isArray(d[0])?f(M,function(t,e){return g.d2l(d[e][t],0,T)*b[0]}):f(M,function(t){return g.d2l(d[t],0,T)*b[0]}),Array.isArray(p[0])?f(k,function(t,e){return v.d2l(p[e][t],0,S)*b[1]}):f(k,function(t,e){return v.d2l(p[e],0,S)*b[1]});var 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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from __future__ import (absolute_import, division, print_function)\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import functools as fn\n",
    "import importlib\n",
    "\n",
    "# Display\n",
    "from IPython.display import display, HTML, Image\n",
    "import cufflinks as cf\n",
    "cf.set_config_file(theme=None,sharing='private',offline=True)\n",
    "\n",
    "# Strategy\n",
    "from lihy.feed import get_sample_size\n",
    "from lihy.strategy import runstrat\n",
    "from lihy import conf\n",
    "\n",
    "#--- 请设置参数 ---#\n",
    "strategy_name = 'pairs_trading'\n",
    "fromdate = '2016-06-01'\n",
    "todate = '2017-01-01'\n",
    "sampling = lambda sample: sample[:get_sample_size(1.0, len(sample))]\n",
    "cash = conf.CASH\n",
    "commission = conf.COMMISSION\n",
    "\n",
    "mod = importlib.import_module(\".strategies.%s\" % strategy_name, \n",
    "        package='lihy')\n",
    "\n",
    "build, feed, Strategy = mod.build, mod.feed, mod.Strategy"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 构建投资组合"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "交通运输 1\n",
      "仪器仪表 0\n",
      "传媒娱乐 1\n",
      "供水供气 0\n",
      "公路桥梁 1\n",
      "农林牧渔 2\n",
      "农药化肥 1\n",
      "化工行业 4\n",
      "化纤行业 0\n",
      "医疗器械 1\n",
      "印刷包装 0\n",
      "发电设备 0\n",
      "商业百货 4\n",
      "塑料制品 0\n",
      "家具行业 1\n",
      "家电行业 0\n",
      "建筑建材 2\n",
      "开发区 0\n",
      "房地产 5\n",
      "摩托车 0\n",
      "有色金属 0\n",
      "服装鞋类 0\n",
      "机械行业 11\n",
      "水泥行业 0\n",
      "汽车制造 1\n",
      "煤炭行业 0\n",
      "物资外贸 0\n",
      "环保行业 2\n",
      "玻璃行业 0\n",
      "生物制药 14\n",
      "电力行业 1\n",
      "电器行业 0\n",
      "电子信息 10\n",
      "电子器件 3\n",
      "石油行业 0\n",
      "纺织机械 0\n",
      "纺织行业 1\n",
      "综合行业 0\n",
      "船舶制造 0\n",
      "造纸行业 0\n",
      "酒店旅游 0\n",
      "酿酒行业 1\n",
      "金融行业 6\n",
      "钢铁行业 0\n",
      "飞机制造 0\n",
      "食品行业 1\n"
     ]
    }
   ],
   "source": [
    "portfolios = build(fromdate, todate, sampling=sampling)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 导入数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "portfolios = portfolios.apply(feed, axis=1,\n",
    "                        fromdate='2017-01-01',\n",
    "                        todate='2017-03-09').dropna()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 回测"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting Portfolio 601919_600190 Value: 1000000.00\n",
      "Final Portfolio 601919_600190 Value: 1046566.59\n",
      "Starting Portfolio 601919_600190 Value: 1000000.00\n",
      "Final Portfolio 601919_600190 Value: 1046566.59\n",
      "Starting Portfolio 600373_601928 Value: 1000000.00\n",
      "Final Portfolio 600373_601928 Value: 1008912.16\n",
      "Starting Portfolio 600548_000548 Value: 1000000.00\n",
      "Final Portfolio 600548_000548 Value: 1016102.52\n",
      "Starting Portfolio 600313_600108 Value: 1000000.00\n",
      "Final Portfolio 600313_600108 Value: 1053408.26\n",
      "Starting Portfolio 002258_600470 Value: 1000000.00\n",
      "Final Portfolio 002258_600470 Value: 975980.98\n",
      "Starting Portfolio 600078_300387 Value: 1000000.00\n",
      "Final Portfolio 600078_300387 Value: 958315.61\n",
      "Starting Portfolio 600844_300387 Value: 1000000.00\n",
      "Final Portfolio 600844_300387 Value: 1007109.78\n",
      "Starting Portfolio 002250_002037 Value: 1000000.00\n",
      "Final Portfolio 002250_002037 Value: 1031332.39\n",
      "Starting Portfolio 300171_300206 Value: 1000000.00\n",
      "Final Portfolio 300171_300206 Value: 1069706.99\n",
      "Starting Portfolio 600628_600723 Value: 1000000.00\n",
      "Final Portfolio 600628_600723 Value: 996892.71\n",
      "Starting Portfolio 600856_600778 Value: 1000000.00\n",
      "Final Portfolio 600856_600778 Value: 1062578.92\n",
      "Starting Portfolio 603123_600723 Value: 1000000.00\n",
      "Final Portfolio 603123_600723 Value: 996212.21\n",
      "Starting Portfolio 000501_600723 Value: 1000000.00\n",
      "Final Portfolio 000501_600723 Value: 1021698.74\n",
      "Starting Portfolio 601669_002247 Value: 1000000.00\n",
      "Final Portfolio 601669_002247 Value: 1011702.93\n",
      "Starting Portfolio 600376_600266 Value: 1000000.00\n",
      "Final Portfolio 600376_600266 Value: 987531.98\n",
      "Starting Portfolio 600383_600724 Value: 1000000.00\n",
      "Final Portfolio 600383_600724 Value: 1029026.44\n",
      "Starting Portfolio 600503_000046 Value: 1000000.00\n",
      "Final Portfolio 600503_000046 Value: 1019578.21\n",
      "Starting Portfolio 600724_600266 Value: 1000000.00\n",
      "Final Portfolio 600724_600266 Value: 1051146.84\n",
      "Starting Portfolio 600748_600240 Value: 1000000.00\n",
      "Final Portfolio 600748_600240 Value: 1063063.06\n",
      "Starting Portfolio 600806_600218 Value: 1000000.00\n",
      "Final Portfolio 600806_600218 Value: 1070286.51\n",
      "Starting Portfolio 601218_002328 Value: 1000000.00\n",
      "Final Portfolio 601218_002328 Value: 1048618.22\n",
      "Starting Portfolio 603698_600765 Value: 1000000.00\n",
      "Final Portfolio 603698_600765 Value: 999625.52\n",
      "Starting Portfolio 000157_000811 Value: 1000000.00\n",
      "Final Portfolio 000157_000811 Value: 1000000.00\n",
      "Starting Portfolio 000404_002328 Value: 1000000.00\n",
      "Final Portfolio 000404_002328 Value: 1046903.46\n",
      "Starting Portfolio 000528_600218 Value: 1000000.00\n",
      "Final Portfolio 000528_600218 Value: 952535.63\n",
      "Starting Portfolio 000811_002328 Value: 1000000.00\n",
      "Final Portfolio 000811_002328 Value: 1001385.98\n",
      "Starting Portfolio 002270_002553 Value: 1000000.00\n",
      "Final Portfolio 002270_002553 Value: 978862.66\n",
      "Starting Portfolio 002413_002553 Value: 1000000.00\n",
      "Final Portfolio 002413_002553 Value: 1089475.71\n",
      "Starting Portfolio 002553_002270 Value: 1000000.00\n",
      "Final Portfolio 002553_002270 Value: 987183.84\n",
      "Starting Portfolio 000581_600093 Value: 1000000.00\n",
      "Final Portfolio 000581_600093 Value: 999712.34\n",
      "Starting Portfolio 000598_603588 Value: 1000000.00\n",
      "Final Portfolio 000598_603588 Value: 992678.91\n",
      "Starting Portfolio 300172_002549 Value: 1000000.00\n",
      "Final Portfolio 300172_002549 Value: 1137389.49\n",
      "Starting Portfolio 600332_600479 Value: 1000000.00\n",
      "Final Portfolio 600332_600479 Value: 1030410.81\n",
      "Starting Portfolio 600566_000597 Value: 1000000.00\n",
      "Final Portfolio 600566_000597 Value: 1111944.62\n",
      "Starting Portfolio 600829_002412 Value: 1000000.00\n",
      "Final Portfolio 600829_002412 Value: 1000589.58\n",
      "Starting Portfolio 000597_600566 Value: 1000000.00\n",
      "Final Portfolio 000597_600566 Value: 1079515.92\n",
      "Starting Portfolio 000597_002422 Value: 1000000.00\n",
      "Final Portfolio 000597_002422 Value: 1064621.46\n",
      "Starting Portfolio 000661_000963 Value: 1000000.00\n",
      "Final Portfolio 000661_000963 Value: 926854.27\n",
      "Starting Portfolio 002038_300049 Value: 1000000.00\n",
      "Final Portfolio 002038_300049 Value: 1009429.23\n",
      "Starting Portfolio 002412_600829 Value: 1000000.00\n",
      "Final Portfolio 002412_600829 Value: 996175.55\n",
      "Starting Portfolio 002422_002412 Value: 1000000.00\n",
      "Final Portfolio 002422_002412 Value: 998577.24\n",
      "Starting Portfolio 300158_600062 Value: 1000000.00\n",
      "Final Portfolio 300158_600062 Value: 1004608.31\n",
      "Starting Portfolio 300181_300119 Value: 1000000.00\n",
      "Final Portfolio 300181_300119 Value: 1035699.16\n",
      "Starting Portfolio 300194_603998 Value: 1000000.00\n",
      "Final Portfolio 300194_603998 Value: 1085308.46\n",
      "Starting Portfolio 300255_300204 Value: 1000000.00\n",
      "Final Portfolio 300255_300204 Value: 1025381.02\n",
      "Starting Portfolio 300439_600479 Value: 1000000.00\n",
      "Final Portfolio 300439_600479 Value: 999685.76\n",
      "Starting Portfolio 600131_000543 Value: 1000000.00\n",
      "Final Portfolio 600131_000543 Value: 1020772.08\n",
      "Starting Portfolio 000561_600345 Value: 1000000.00\n",
      "Final Portfolio 000561_600345 Value: 961542.41\n",
      "Starting Portfolio 002446_600562 Value: 1000000.00\n",
      "Final Portfolio 002446_600562 Value: 975765.62\n",
      "Starting Portfolio 002467_600756 Value: 1000000.00\n",
      "Final Portfolio 002467_600756 Value: 1053704.28\n",
      "Starting Portfolio 002544_600677 Value: 1000000.00\n",
      "Final Portfolio 002544_600677 Value: 1005597.64\n",
      "Starting Portfolio 000810_002273 Value: 1000000.00\n",
      "Final Portfolio 000810_002273 Value: 1138743.01\n",
      "Starting Portfolio 002104_002463 Value: 1000000.00\n",
      "Final Portfolio 002104_002463 Value: 994303.82\n",
      "Starting Portfolio 300014_600980 Value: 1000000.00\n",
      "Final Portfolio 300014_600980 Value: 917415.99\n",
      "Starting Portfolio 600448_002394 Value: 1000000.00\n",
      "Final Portfolio 600448_002394 Value: 1055773.80\n",
      "Starting Portfolio 000869_002646 Value: 1000000.00\n",
      "Final Portfolio 000869_002646 Value: 999621.12\n",
      "Starting Portfolio 600000_600837 Value: 1000000.00\n",
      "Final Portfolio 600000_600837 Value: 1034437.85\n",
      "Starting Portfolio 600015_601336 Value: 1000000.00\n",
      "Final Portfolio 600015_601336 Value: 1026628.55\n",
      "Starting Portfolio 600109_600291 Value: 1000000.00\n",
      "Final Portfolio 600109_600291 Value: 991899.02\n",
      "Starting Portfolio 601377_000686 Value: 1000000.00\n",
      "Final Portfolio 601377_000686 Value: 999687.56\n",
      "Starting Portfolio 000686_600291 Value: 1000000.00\n",
      "Final Portfolio 000686_600291 Value: 1063855.58\n",
      "Starting Portfolio 000686_601377 Value: 1000000.00\n",
      "Final Portfolio 000686_601377 Value: 995876.96\n",
      "Starting Portfolio 002557_603020 Value: 1000000.00\n",
      "Final Portfolio 002557_603020 Value: 1011042.60\n"
     ]
    }
   ],
   "source": [
    "records = portfolios.apply(runstrat, axis=1,\n",
    "              Strategy=Strategy,\n",
    "              cash=cash,\n",
    "              commission=commission,\n",
    "              isplot=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 统计"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "63 23\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>c_name</th>\n",
       "      <th>cross_rate</th>\n",
       "      <th>p_value</th>\n",
       "      <th>corr_</th>\n",
       "      <th>rsquared</th>\n",
       "      <th>risk</th>\n",
       "      <th>last_bias</th>\n",
       "      <th>tail_bias</th>\n",
       "      <th>profit</th>\n",
       "      <th>score</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>600332_600479</th>\n",
       "      <td>生物制药</td>\n",
       "      <td>0.146853</td>\n",
       "      <td>2.822038e-02</td>\n",
       "      <td>0.442499</td>\n",
       "      <td>0.601727</td>\n",
       "      <td>0.025114</td>\n",
       "      <td>0.471473</td>\n",
       "      <td>1.016710</td>\n",
       "      <td>30410.811953</td>\n",
       "      <td>0.095238</td>\n",
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       "    <tr>\n",
       "      <th>600829_002412</th>\n",
       "      <td>生物制药</td>\n",
       "      <td>0.174825</td>\n",
       "      <td>3.393355e-02</td>\n",
       "      <td>0.258678</td>\n",
       "      <td>0.602656</td>\n",
       "      <td>0.034118</td>\n",
       "      <td>0.921923</td>\n",
       "      <td>1.875166</td>\n",
       "      <td>589.577660</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>002412_600829</th>\n",
       "      <td>生物制药</td>\n",
       "      <td>0.202797</td>\n",
       "      <td>4.606357e-03</td>\n",
       "      <td>0.258678</td>\n",
       "      <td>0.602656</td>\n",
       "      <td>0.031278</td>\n",
       "      <td>0.925217</td>\n",
       "      <td>1.945991</td>\n",
       "      <td>-3824.450775</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>002250_002037</th>\n",
       "      <td>化工行业</td>\n",
       "      <td>0.146853</td>\n",
       "      <td>4.837530e-02</td>\n",
       "      <td>0.360861</td>\n",
       "      <td>0.607975</td>\n",
       "      <td>0.051412</td>\n",
       "      <td>0.817385</td>\n",
       "      <td>0.931383</td>\n",
       "      <td>31332.391750</td>\n",
       "      <td>0.142857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>002446_600562</th>\n",
       "      <td>电子信息</td>\n",
       "      <td>0.118881</td>\n",
       "      <td>1.701255e-02</td>\n",
       "      <td>0.549152</td>\n",
       "      <td>0.608813</td>\n",
       "      <td>0.032730</td>\n",
       "      <td>0.203874</td>\n",
       "      <td>1.594374</td>\n",
       "      <td>-24234.378499</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600383_600724</th>\n",
       "      <td>房地产</td>\n",
       "      <td>0.160839</td>\n",
       "      <td>4.061534e-02</td>\n",
       "      <td>0.292851</td>\n",
       "      <td>0.616621</td>\n",
       "      <td>0.032553</td>\n",
       "      <td>0.489055</td>\n",
       "      <td>1.214257</td>\n",
       "      <td>29026.444014</td>\n",
       "      <td>0.142857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600373_601928</th>\n",
       "      <td>传媒娱乐</td>\n",
       "      <td>0.118881</td>\n",
       "      <td>1.612990e-02</td>\n",
       "      <td>0.493127</td>\n",
       "      <td>0.627240</td>\n",
       "      <td>0.020774</td>\n",
       "      <td>0.101037</td>\n",
       "      <td>0.975850</td>\n",
       "      <td>8912.162164</td>\n",
       "      <td>0.119048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000810_002273</th>\n",
       "      <td>电子器件</td>\n",
       "      <td>0.146853</td>\n",
       "      <td>2.481280e-02</td>\n",
       "      <td>0.620989</td>\n",
       "      <td>0.632660</td>\n",
       "      <td>0.057706</td>\n",
       "      <td>0.429164</td>\n",
       "      <td>0.830008</td>\n",
       "      <td>138743.007996</td>\n",
       "      <td>0.071429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300255_300204</th>\n",
       "      <td>生物制药</td>\n",
       "      <td>0.202797</td>\n",
       "      <td>1.932774e-02</td>\n",
       "      <td>0.446049</td>\n",
       "      <td>0.635521</td>\n",
       "      <td>0.027985</td>\n",
       "      <td>1.007932</td>\n",
       "      <td>1.210757</td>\n",
       "      <td>25381.018283</td>\n",
       "      <td>0.047619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>002557_603020</th>\n",
       "      <td>食品行业</td>\n",
       "      <td>0.125874</td>\n",
       "      <td>5.783423e-03</td>\n",
       "      <td>0.430802</td>\n",
       "      <td>0.638244</td>\n",
       "      <td>0.039810</td>\n",
       "      <td>0.006619</td>\n",
       "      <td>0.856596</td>\n",
       "      <td>11042.603135</td>\n",
       "      <td>0.047619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>603698_600765</th>\n",
       "      <td>机械行业</td>\n",
       "      <td>0.132867</td>\n",
       "      <td>3.466353e-02</td>\n",
       "      <td>0.643506</td>\n",
       "      <td>0.639335</td>\n",
       "      <td>0.026925</td>\n",
       "      <td>0.418809</td>\n",
       "      <td>1.985105</td>\n",
       "      <td>-374.480302</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600806_600218</th>\n",
       "      <td>机械行业</td>\n",
       "      <td>0.125874</td>\n",
       "      <td>3.863589e-02</td>\n",
       "      <td>0.382618</td>\n",
       "      <td>0.642630</td>\n",
       "      <td>0.035334</td>\n",
       "      <td>0.236207</td>\n",
       "      <td>0.894456</td>\n",
       "      <td>70286.511625</td>\n",
       "      <td>0.214286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601377_000686</th>\n",
       "      <td>金融行业</td>\n",
       "      <td>0.111888</td>\n",
       "      <td>1.844138e-02</td>\n",
       "      <td>0.803245</td>\n",
       "      <td>0.644474</td>\n",
       "      <td>0.028576</td>\n",
       "      <td>0.431435</td>\n",
       "      <td>0.607880</td>\n",
       "      <td>-312.435166</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000686_601377</th>\n",
       "      <td>金融行业</td>\n",
       "      <td>0.132867</td>\n",
       "      <td>1.083782e-02</td>\n",
       "      <td>0.803245</td>\n",
       "      <td>0.644474</td>\n",
       "      <td>0.027559</td>\n",
       "      <td>0.011407</td>\n",
       "      <td>0.555280</td>\n",
       "      <td>-4123.043659</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>002038_300049</th>\n",
       "      <td>生物制药</td>\n",
       "      <td>0.181818</td>\n",
       "      <td>9.808486e-03</td>\n",
       "      <td>0.441733</td>\n",
       "      <td>0.645705</td>\n",
       "      <td>0.040260</td>\n",
       "      <td>0.010696</td>\n",
       "      <td>0.627155</td>\n",
       "      <td>9429.227734</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>002258_600470</th>\n",
       "      <td>农药化肥</td>\n",
       "      <td>0.160839</td>\n",
       "      <td>4.160526e-02</td>\n",
       "      <td>0.481017</td>\n",
       "      <td>0.656288</td>\n",
       "      <td>0.036517</td>\n",
       "      <td>0.283865</td>\n",
       "      <td>1.466776</td>\n",
       "      <td>-24019.023576</td>\n",
       "      <td>0.071429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000404_002328</th>\n",
       "      <td>机械行业</td>\n",
       "      <td>0.111888</td>\n",
       "      <td>2.620383e-03</td>\n",
       "      <td>0.332988</td>\n",
       "      <td>0.658291</td>\n",
       "      <td>0.040431</td>\n",
       "      <td>1.040800</td>\n",
       "      <td>1.130494</td>\n",
       "      <td>46903.464946</td>\n",
       "      <td>0.142857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300172_002549</th>\n",
       "      <td>环保行业</td>\n",
       "      <td>0.160839</td>\n",
       "      <td>2.330028e-02</td>\n",
       "      <td>0.404301</td>\n",
       "      <td>0.668704</td>\n",
       "      <td>0.037214</td>\n",
       "      <td>0.859767</td>\n",
       "      <td>1.041605</td>\n",
       "      <td>137389.494581</td>\n",
       "      <td>0.095238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>002413_002553</th>\n",
       "      <td>机械行业</td>\n",
       "      <td>0.153846</td>\n",
       "      <td>1.569961e-03</td>\n",
       "      <td>0.314098</td>\n",
       "      <td>0.669832</td>\n",
       "      <td>0.032457</td>\n",
       "      <td>0.139339</td>\n",
       "      <td>1.526139</td>\n",
       "      <td>89475.708849</td>\n",
       "      <td>0.023810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600000_600837</th>\n",
       "      <td>金融行业</td>\n",
       "      <td>0.111888</td>\n",
       "      <td>5.651619e-03</td>\n",
       "      <td>0.537740</td>\n",
       "      <td>0.669855</td>\n",
       "      <td>0.022893</td>\n",
       "      <td>0.094258</td>\n",
       "      <td>0.873541</td>\n",
       "      <td>34437.845371</td>\n",
       "      <td>0.047619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600503_000046</th>\n",
       "      <td>房地产</td>\n",
       "      <td>0.181818</td>\n",
       "      <td>6.421631e-07</td>\n",
       "      <td>0.376118</td>\n",
       "      <td>0.670943</td>\n",
       "      <td>0.025633</td>\n",
       "      <td>0.571604</td>\n",
       "      <td>1.205482</td>\n",
       "      <td>19578.211183</td>\n",
       "      <td>0.142857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601919_600190</th>\n",
       "      <td>交通运输</td>\n",
       "      <td>0.132867</td>\n",
       "      <td>6.287686e-04</td>\n",
       "      <td>0.688481</td>\n",
       "      <td>0.671194</td>\n",
       "      <td>0.015157</td>\n",
       "      <td>0.176493</td>\n",
       "      <td>1.906211</td>\n",
       "      <td>46566.590017</td>\n",
       "      <td>0.119048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300181_300119</th>\n",
       "      <td>生物制药</td>\n",
       "      <td>0.146853</td>\n",
       "      <td>1.715799e-02</td>\n",
       "      <td>0.396273</td>\n",
       "      <td>0.671786</td>\n",
       "      <td>0.047731</td>\n",
       "      <td>0.577115</td>\n",
       "      <td>0.632822</td>\n",
       "      <td>35699.155135</td>\n",
       "      <td>0.095238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600548_000548</th>\n",
       "      <td>公路桥梁</td>\n",
       "      <td>0.230769</td>\n",
       "      <td>6.258568e-03</td>\n",
       "      <td>0.458572</td>\n",
       "      <td>0.673259</td>\n",
       "      <td>0.020331</td>\n",
       "      <td>0.099798</td>\n",
       "      <td>1.954557</td>\n",
       "      <td>16102.520963</td>\n",
       "      <td>0.047619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600724_600266</th>\n",
       "      <td>房地产</td>\n",
       "      <td>0.139860</td>\n",
       "      <td>4.622436e-02</td>\n",
       "      <td>0.486032</td>\n",
       "      <td>0.679468</td>\n",
       "      <td>0.029009</td>\n",
       "      <td>0.804792</td>\n",
       "      <td>1.680778</td>\n",
       "      <td>51146.843348</td>\n",
       "      <td>0.214286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>002544_600677</th>\n",
       "      <td>电子信息</td>\n",
       "      <td>0.174825</td>\n",
       "      <td>5.103140e-05</td>\n",
       "      <td>0.378448</td>\n",
       "      <td>0.683943</td>\n",
       "      <td>0.033007</td>\n",
       "      <td>0.551063</td>\n",
       "      <td>1.527740</td>\n",
       "      <td>5597.641136</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>002422_002412</th>\n",
       "      <td>生物制药</td>\n",
       "      <td>0.153846</td>\n",
       "      <td>4.883182e-02</td>\n",
       "      <td>0.432111</td>\n",
       "      <td>0.685425</td>\n",
       "      <td>0.030357</td>\n",
       "      <td>0.639886</td>\n",
       "      <td>1.499003</td>\n",
       "      <td>-1422.758225</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300439_600479</th>\n",
       "      <td>生物制药</td>\n",
       "      <td>0.237762</td>\n",
       "      <td>3.811205e-02</td>\n",
       "      <td>0.451692</td>\n",
       "      <td>0.685446</td>\n",
       "      <td>0.022319</td>\n",
       "      <td>0.258533</td>\n",
       "      <td>1.187824</td>\n",
       "      <td>-314.242917</td>\n",
       "      <td>0.047619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>002553_002270</th>\n",
       "      <td>机械行业</td>\n",
       "      <td>0.160839</td>\n",
       "      <td>7.501416e-05</td>\n",
       "      <td>0.421122</td>\n",
       "      <td>0.695411</td>\n",
       "      <td>0.037609</td>\n",
       "      <td>0.990379</td>\n",
       "      <td>0.468851</td>\n",
       "      <td>-12816.161296</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>002270_002553</th>\n",
       "      <td>机械行业</td>\n",
       "      <td>0.153846</td>\n",
       "      <td>3.262204e-05</td>\n",
       "      <td>0.421122</td>\n",
       "      <td>0.695411</td>\n",
       "      <td>0.031174</td>\n",
       "      <td>0.114759</td>\n",
       "      <td>0.744911</td>\n",
       "      <td>-21137.343148</td>\n",
       "      <td>0.023810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600109_600291</th>\n",
       "      <td>金融行业</td>\n",
       "      <td>0.188811</td>\n",
       "      <td>2.509979e-03</td>\n",
       "      <td>0.603582</td>\n",
       "      <td>0.698102</td>\n",
       "      <td>0.022869</td>\n",
       "      <td>0.713438</td>\n",
       "      <td>1.280200</td>\n",
       "      <td>-8100.975060</td>\n",
       "      <td>0.095238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000686_600291</th>\n",
       "      <td>金融行业</td>\n",
       "      <td>0.188811</td>\n",
       "      <td>5.463282e-03</td>\n",
       "      <td>0.658314</td>\n",
       "      <td>0.698648</td>\n",
       "      <td>0.022848</td>\n",
       "      <td>0.364607</td>\n",
       "      <td>0.670164</td>\n",
       "      <td>63855.577291</td>\n",
       "      <td>0.023810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000869_002646</th>\n",
       "      <td>酿酒行业</td>\n",
       "      <td>0.167832</td>\n",
       "      <td>4.727911e-02</td>\n",
       "      <td>0.685531</td>\n",
       "      <td>0.699736</td>\n",
       "      <td>0.023761</td>\n",
       "      <td>0.979736</td>\n",
       "      <td>1.459481</td>\n",
       "      <td>-378.883243</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000597_600566</th>\n",
       "      <td>生物制药</td>\n",
       "      <td>0.202797</td>\n",
       "      <td>4.429574e-02</td>\n",
       "      <td>0.161302</td>\n",
       "      <td>0.709041</td>\n",
       "      <td>0.050425</td>\n",
       "      <td>0.999697</td>\n",
       "      <td>1.307707</td>\n",
       "      <td>79515.915639</td>\n",
       "      <td>0.166667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600566_000597</th>\n",
       "      <td>生物制药</td>\n",
       "      <td>0.160839</td>\n",
       "      <td>4.922480e-02</td>\n",
       "      <td>0.161302</td>\n",
       "      <td>0.709041</td>\n",
       "      <td>0.040048</td>\n",
       "      <td>0.713340</td>\n",
       "      <td>1.151980</td>\n",
       "      <td>111944.618243</td>\n",
       "      <td>0.119048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>002104_002463</th>\n",
       "      <td>电子器件</td>\n",
       "      <td>0.230769</td>\n",
       "      <td>9.487961e-03</td>\n",
       "      <td>0.446120</td>\n",
       "      <td>0.710083</td>\n",
       "      <td>0.026493</td>\n",
       "      <td>0.386337</td>\n",
       "      <td>0.923330</td>\n",
       "      <td>-5696.178883</td>\n",
       "      <td>0.023810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000811_002328</th>\n",
       "      <td>机械行业</td>\n",
       "      <td>0.167832</td>\n",
       "      <td>6.406251e-03</td>\n",
       "      <td>0.392397</td>\n",
       "      <td>0.722149</td>\n",
       "      <td>0.036458</td>\n",
       "      <td>0.755958</td>\n",
       "      <td>0.833688</td>\n",
       "      <td>1385.978886</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600078_300387</th>\n",
       "      <td>化工行业</td>\n",
       "      <td>0.167832</td>\n",
       "      <td>2.208500e-02</td>\n",
       "      <td>0.500103</td>\n",
       "      <td>0.737723</td>\n",
       "      <td>0.042556</td>\n",
       "      <td>0.628493</td>\n",
       "      <td>0.914717</td>\n",
       "      <td>-41684.390956</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600131_000543</th>\n",
       "      <td>电力行业</td>\n",
       "      <td>0.146853</td>\n",
       "      <td>2.638351e-02</td>\n",
       "      <td>0.320842</td>\n",
       "      <td>0.740921</td>\n",
       "      <td>0.032419</td>\n",
       "      <td>0.070402</td>\n",
       "      <td>0.795072</td>\n",
       "      <td>20772.084540</td>\n",
       "      <td>0.119048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300194_603998</th>\n",
       "      <td>生物制药</td>\n",
       "      <td>0.174825</td>\n",
       "      <td>2.716221e-02</td>\n",
       "      <td>0.288433</td>\n",
       "      <td>0.743502</td>\n",
       "      <td>0.046952</td>\n",
       "      <td>0.046531</td>\n",
       "      <td>1.875545</td>\n",
       "      <td>85308.456206</td>\n",
       "      <td>0.190476</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000528_600218</th>\n",
       "      <td>机械行业</td>\n",
       "      <td>0.160839</td>\n",
       "      <td>3.887866e-02</td>\n",
       "      <td>0.580471</td>\n",
       "      <td>0.769351</td>\n",
       "      <td>0.028387</td>\n",
       "      <td>0.085193</td>\n",
       "      <td>0.876219</td>\n",
       "      <td>-47464.366405</td>\n",
       "      <td>0.023810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600856_600778</th>\n",
       "      <td>商业百货</td>\n",
       "      <td>0.174825</td>\n",
       "      <td>1.686407e-02</td>\n",
       "      <td>0.323057</td>\n",
       "      <td>0.770745</td>\n",
       "      <td>0.030612</td>\n",
       "      <td>0.154990</td>\n",
       "      <td>1.595647</td>\n",
       "      <td>62578.923160</td>\n",
       "      <td>0.047619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000501_600723</th>\n",
       "      <td>商业百货</td>\n",
       "      <td>0.181818</td>\n",
       "      <td>4.417183e-02</td>\n",
       "      <td>0.532807</td>\n",
       "      <td>0.777054</td>\n",
       "      <td>0.025822</td>\n",
       "      <td>0.105622</td>\n",
       "      <td>1.312911</td>\n",
       "      <td>21698.743704</td>\n",
       "      <td>0.095238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601669_002247</th>\n",
       "      <td>建筑建材</td>\n",
       "      <td>0.132867</td>\n",
       "      <td>1.254883e-02</td>\n",
       "      <td>0.202338</td>\n",
       "      <td>0.778136</td>\n",
       "      <td>0.051773</td>\n",
       "      <td>0.629522</td>\n",
       "      <td>1.968268</td>\n",
       "      <td>11702.928285</td>\n",
       "      <td>0.071429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000157_000811</th>\n",
       "      <td>机械行业</td>\n",
       "      <td>0.118881</td>\n",
       "      <td>6.771058e-03</td>\n",
       "      <td>0.350365</td>\n",
       "      <td>0.780702</td>\n",
       "      <td>0.054872</td>\n",
       "      <td>0.690009</td>\n",
       "      <td>1.202233</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.119048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300171_300206</th>\n",
       "      <td>医疗器械</td>\n",
       "      <td>0.125874</td>\n",
       "      <td>3.148797e-02</td>\n",
       "      <td>0.712138</td>\n",
       "      <td>0.783039</td>\n",
       "      <td>0.024583</td>\n",
       "      <td>0.484805</td>\n",
       "      <td>1.089502</td>\n",
       "      <td>69706.987385</td>\n",
       "      <td>0.047619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601218_002328</th>\n",
       "      <td>机械行业</td>\n",
       "      <td>0.146853</td>\n",
       "      <td>8.067622e-04</td>\n",
       "      <td>0.541851</td>\n",
       "      <td>0.784934</td>\n",
       "      <td>0.032076</td>\n",
       "      <td>1.049376</td>\n",
       "      <td>1.189777</td>\n",
       "      <td>48618.222769</td>\n",
       "      <td>0.285714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600376_600266</th>\n",
       "      <td>房地产</td>\n",
       "      <td>0.153846</td>\n",
       "      <td>3.280600e-04</td>\n",
       "      <td>0.702150</td>\n",
       "      <td>0.785192</td>\n",
       "      <td>0.023748</td>\n",
       "      <td>0.974761</td>\n",
       "      <td>1.243899</td>\n",
       "      <td>-12468.017815</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600748_600240</th>\n",
       "      <td>房地产</td>\n",
       "      <td>0.153846</td>\n",
       "      <td>2.904441e-02</td>\n",
       "      <td>0.371126</td>\n",
       "      <td>0.791339</td>\n",
       "      <td>0.030936</td>\n",
       "      <td>0.506535</td>\n",
       "      <td>1.606012</td>\n",
       "      <td>63063.061938</td>\n",
       "      <td>0.119048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000581_600093</th>\n",
       "      <td>汽车制造</td>\n",
       "      <td>0.181818</td>\n",
       "      <td>2.390665e-02</td>\n",
       "      <td>0.328049</td>\n",
       "      <td>0.809272</td>\n",
       "      <td>0.033836</td>\n",
       "      <td>0.776005</td>\n",
       "      <td>1.773914</td>\n",
       "      <td>-287.660538</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              c_name  cross_rate       p_value     corr_  rsquared      risk  \\\n",
       "name                                                                           \n",
       "600332_600479   生物制药    0.146853  2.822038e-02  0.442499  0.601727  0.025114   \n",
       "600829_002412   生物制药    0.174825  3.393355e-02  0.258678  0.602656  0.034118   \n",
       "002412_600829   生物制药    0.202797  4.606357e-03  0.258678  0.602656  0.031278   \n",
       "002250_002037   化工行业    0.146853  4.837530e-02  0.360861  0.607975  0.051412   \n",
       "002446_600562   电子信息    0.118881  1.701255e-02  0.549152  0.608813  0.032730   \n",
       "600383_600724    房地产    0.160839  4.061534e-02  0.292851  0.616621  0.032553   \n",
       "600373_601928   传媒娱乐    0.118881  1.612990e-02  0.493127  0.627240  0.020774   \n",
       "000810_002273   电子器件    0.146853  2.481280e-02  0.620989  0.632660  0.057706   \n",
       "300255_300204   生物制药    0.202797  1.932774e-02  0.446049  0.635521  0.027985   \n",
       "002557_603020   食品行业    0.125874  5.783423e-03  0.430802  0.638244  0.039810   \n",
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       "600806_600218   机械行业    0.125874  3.863589e-02  0.382618  0.642630  0.035334   \n",
       "601377_000686   金融行业    0.111888  1.844138e-02  0.803245  0.644474  0.028576   \n",
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       "002038_300049   生物制药    0.181818  9.808486e-03  0.441733  0.645705  0.040260   \n",
       "002258_600470   农药化肥    0.160839  4.160526e-02  0.481017  0.656288  0.036517   \n",
       "000404_002328   机械行业    0.111888  2.620383e-03  0.332988  0.658291  0.040431   \n",
       "300172_002549   环保行业    0.160839  2.330028e-02  0.404301  0.668704  0.037214   \n",
       "002413_002553   机械行业    0.153846  1.569961e-03  0.314098  0.669832  0.032457   \n",
       "600000_600837   金融行业    0.111888  5.651619e-03  0.537740  0.669855  0.022893   \n",
       "600503_000046    房地产    0.181818  6.421631e-07  0.376118  0.670943  0.025633   \n",
       "601919_600190   交通运输    0.132867  6.287686e-04  0.688481  0.671194  0.015157   \n",
       "300181_300119   生物制药    0.146853  1.715799e-02  0.396273  0.671786  0.047731   \n",
       "600548_000548   公路桥梁    0.230769  6.258568e-03  0.458572  0.673259  0.020331   \n",
       "600724_600266    房地产    0.139860  4.622436e-02  0.486032  0.679468  0.029009   \n",
       "002544_600677   电子信息    0.174825  5.103140e-05  0.378448  0.683943  0.033007   \n",
       "002422_002412   生物制药    0.153846  4.883182e-02  0.432111  0.685425  0.030357   \n",
       "300439_600479   生物制药    0.237762  3.811205e-02  0.451692  0.685446  0.022319   \n",
       "002553_002270   机械行业    0.160839  7.501416e-05  0.421122  0.695411  0.037609   \n",
       "002270_002553   机械行业    0.153846  3.262204e-05  0.421122  0.695411  0.031174   \n",
       "600109_600291   金融行业    0.188811  2.509979e-03  0.603582  0.698102  0.022869   \n",
       "000686_600291   金融行业    0.188811  5.463282e-03  0.658314  0.698648  0.022848   \n",
       "000869_002646   酿酒行业    0.167832  4.727911e-02  0.685531  0.699736  0.023761   \n",
       "000597_600566   生物制药    0.202797  4.429574e-02  0.161302  0.709041  0.050425   \n",
       "600566_000597   生物制药    0.160839  4.922480e-02  0.161302  0.709041  0.040048   \n",
       "002104_002463   电子器件    0.230769  9.487961e-03  0.446120  0.710083  0.026493   \n",
       "000811_002328   机械行业    0.167832  6.406251e-03  0.392397  0.722149  0.036458   \n",
       "600078_300387   化工行业    0.167832  2.208500e-02  0.500103  0.737723  0.042556   \n",
       "600131_000543   电力行业    0.146853  2.638351e-02  0.320842  0.740921  0.032419   \n",
       "300194_603998   生物制药    0.174825  2.716221e-02  0.288433  0.743502  0.046952   \n",
       "000528_600218   机械行业    0.160839  3.887866e-02  0.580471  0.769351  0.028387   \n",
       "600856_600778   商业百货    0.174825  1.686407e-02  0.323057  0.770745  0.030612   \n",
       "000501_600723   商业百货    0.181818  4.417183e-02  0.532807  0.777054  0.025822   \n",
       "601669_002247   建筑建材    0.132867  1.254883e-02  0.202338  0.778136  0.051773   \n",
       "000157_000811   机械行业    0.118881  6.771058e-03  0.350365  0.780702  0.054872   \n",
       "300171_300206   医疗器械    0.125874  3.148797e-02  0.712138  0.783039  0.024583   \n",
       "601218_002328   机械行业    0.146853  8.067622e-04  0.541851  0.784934  0.032076   \n",
       "600376_600266    房地产    0.153846  3.280600e-04  0.702150  0.785192  0.023748   \n",
       "600748_600240    房地产    0.153846  2.904441e-02  0.371126  0.791339  0.030936   \n",
       "000581_600093   汽车制造    0.181818  2.390665e-02  0.328049  0.809272  0.033836   \n",
       "\n",
       "               last_bias  tail_bias         profit     score  \n",
       "name                                                          \n",
       "600332_600479   0.471473   1.016710   30410.811953  0.095238  \n",
       "600829_002412   0.921923   1.875166     589.577660  0.000000  \n",
       "002412_600829   0.925217   1.945991   -3824.450775  0.000000  \n",
       "002250_002037   0.817385   0.931383   31332.391750  0.142857  \n",
       "002446_600562   0.203874   1.594374  -24234.378499  0.000000  \n",
       "600383_600724   0.489055   1.214257   29026.444014  0.142857  \n",
       "600373_601928   0.101037   0.975850    8912.162164  0.119048  \n",
       "000810_002273   0.429164   0.830008  138743.007996  0.071429  \n",
       "300255_300204   1.007932   1.210757   25381.018283  0.047619  \n",
       "002557_603020   0.006619   0.856596   11042.603135  0.047619  \n",
       "603698_600765   0.418809   1.985105    -374.480302  0.000000  \n",
       "600806_600218   0.236207   0.894456   70286.511625  0.214286  \n",
       "601377_000686   0.431435   0.607880    -312.435166  0.000000  \n",
       "000686_601377   0.011407   0.555280   -4123.043659  0.000000  \n",
       "002038_300049   0.010696   0.627155    9429.227734  0.000000  \n",
       "002258_600470   0.283865   1.466776  -24019.023576  0.071429  \n",
       "000404_002328   1.040800   1.130494   46903.464946  0.142857  \n",
       "300172_002549   0.859767   1.041605  137389.494581  0.095238  \n",
       "002413_002553   0.139339   1.526139   89475.708849  0.023810  \n",
       "600000_600837   0.094258   0.873541   34437.845371  0.047619  \n",
       "600503_000046   0.571604   1.205482   19578.211183  0.142857  \n",
       "601919_600190   0.176493   1.906211   46566.590017  0.119048  \n",
       "300181_300119   0.577115   0.632822   35699.155135  0.095238  \n",
       "600548_000548   0.099798   1.954557   16102.520963  0.047619  \n",
       "600724_600266   0.804792   1.680778   51146.843348  0.214286  \n",
       "002544_600677   0.551063   1.527740    5597.641136  0.000000  \n",
       "002422_002412   0.639886   1.499003   -1422.758225  0.000000  \n",
       "300439_600479   0.258533   1.187824    -314.242917  0.047619  \n",
       "002553_002270   0.990379   0.468851  -12816.161296  0.000000  \n",
       "002270_002553   0.114759   0.744911  -21137.343148  0.023810  \n",
       "600109_600291   0.713438   1.280200   -8100.975060  0.095238  \n",
       "000686_600291   0.364607   0.670164   63855.577291  0.023810  \n",
       "000869_002646   0.979736   1.459481    -378.883243  0.000000  \n",
       "000597_600566   0.999697   1.307707   79515.915639  0.166667  \n",
       "600566_000597   0.713340   1.151980  111944.618243  0.119048  \n",
       "002104_002463   0.386337   0.923330   -5696.178883  0.023810  \n",
       "000811_002328   0.755958   0.833688    1385.978886  0.000000  \n",
       "600078_300387   0.628493   0.914717  -41684.390956  0.000000  \n",
       "600131_000543   0.070402   0.795072   20772.084540  0.119048  \n",
       "300194_603998   0.046531   1.875545   85308.456206  0.190476  \n",
       "000528_600218   0.085193   0.876219  -47464.366405  0.023810  \n",
       "600856_600778   0.154990   1.595647   62578.923160  0.047619  \n",
       "000501_600723   0.105622   1.312911   21698.743704  0.095238  \n",
       "601669_002247   0.629522   1.968268   11702.928285  0.071429  \n",
       "000157_000811   0.690009   1.202233       0.000000  0.119048  \n",
       "300171_300206   0.484805   1.089502   69706.987385  0.047619  \n",
       "601218_002328   1.049376   1.189777   48618.222769  0.285714  \n",
       "600376_600266   0.974761   1.243899  -12468.017815  0.000000  \n",
       "600748_600240   0.506535   1.606012   63063.061938  0.119048  \n",
       "000581_600093   0.776005   1.773914    -287.660538  0.000000  "
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       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>c_name</th>\n",
       "      <th>cross_rate</th>\n",
       "      <th>p_value</th>\n",
       "      <th>corr_</th>\n",
       "      <th>rsquared</th>\n",
       "      <th>risk</th>\n",
       "      <th>last_bias</th>\n",
       "      <th>tail_bias</th>\n",
       "      <th>profit</th>\n",
       "      <th>score</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>002412_600829</th>\n",
       "      <td>生物制药</td>\n",
       "      <td>0.202797</td>\n",
       "      <td>0.004606</td>\n",
       "      <td>0.258678</td>\n",
       "      <td>0.602656</td>\n",
       "      <td>0.031278</td>\n",
       "      <td>0.925217</td>\n",
       "      <td>1.945991</td>\n",
       "      <td>-3824.450775</td>\n",
       "      <td>0.000000</td>\n",
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       "    <tr>\n",
       "      <th>002446_600562</th>\n",
       "      <td>电子信息</td>\n",
       "      <td>0.118881</td>\n",
       "      <td>0.017013</td>\n",
       "      <td>0.549152</td>\n",
       "      <td>0.608813</td>\n",
       "      <td>0.032730</td>\n",
       "      <td>0.203874</td>\n",
       "      <td>1.594374</td>\n",
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       "      <td>0.000000</td>\n",
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       "    <tr>\n",
       "      <th>603698_600765</th>\n",
       "      <td>机械行业</td>\n",
       "      <td>0.132867</td>\n",
       "      <td>0.034664</td>\n",
       "      <td>0.643506</td>\n",
       "      <td>0.639335</td>\n",
       "      <td>0.026925</td>\n",
       "      <td>0.418809</td>\n",
       "      <td>1.985105</td>\n",
       "      <td>-374.480302</td>\n",
       "      <td>0.000000</td>\n",
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       "    <tr>\n",
       "      <th>601377_000686</th>\n",
       "      <td>金融行业</td>\n",
       "      <td>0.111888</td>\n",
       "      <td>0.018441</td>\n",
       "      <td>0.803245</td>\n",
       "      <td>0.644474</td>\n",
       "      <td>0.028576</td>\n",
       "      <td>0.431435</td>\n",
       "      <td>0.607880</td>\n",
       "      <td>-312.435166</td>\n",
       "      <td>0.000000</td>\n",
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       "    <tr>\n",
       "      <th>000686_601377</th>\n",
       "      <td>金融行业</td>\n",
       "      <td>0.132867</td>\n",
       "      <td>0.010838</td>\n",
       "      <td>0.803245</td>\n",
       "      <td>0.644474</td>\n",
       "      <td>0.027559</td>\n",
       "      <td>0.011407</td>\n",
       "      <td>0.555280</td>\n",
       "      <td>-4123.043659</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>002258_600470</th>\n",
       "      <td>农药化肥</td>\n",
       "      <td>0.160839</td>\n",
       "      <td>0.041605</td>\n",
       "      <td>0.481017</td>\n",
       "      <td>0.656288</td>\n",
       "      <td>0.036517</td>\n",
       "      <td>0.283865</td>\n",
       "      <td>1.466776</td>\n",
       "      <td>-24019.023576</td>\n",
       "      <td>0.071429</td>\n",
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       "    <tr>\n",
       "      <th>002422_002412</th>\n",
       "      <td>生物制药</td>\n",
       "      <td>0.153846</td>\n",
       "      <td>0.048832</td>\n",
       "      <td>0.432111</td>\n",
       "      <td>0.685425</td>\n",
       "      <td>0.030357</td>\n",
       "      <td>0.639886</td>\n",
       "      <td>1.499003</td>\n",
       "      <td>-1422.758225</td>\n",
       "      <td>0.000000</td>\n",
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       "    <tr>\n",
       "      <th>300439_600479</th>\n",
       "      <td>生物制药</td>\n",
       "      <td>0.237762</td>\n",
       "      <td>0.038112</td>\n",
       "      <td>0.451692</td>\n",
       "      <td>0.685446</td>\n",
       "      <td>0.022319</td>\n",
       "      <td>0.258533</td>\n",
       "      <td>1.187824</td>\n",
       "      <td>-314.242917</td>\n",
       "      <td>0.047619</td>\n",
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       "    <tr>\n",
       "      <th>002553_002270</th>\n",
       "      <td>机械行业</td>\n",
       "      <td>0.160839</td>\n",
       "      <td>0.000075</td>\n",
       "      <td>0.421122</td>\n",
       "      <td>0.695411</td>\n",
       "      <td>0.037609</td>\n",
       "      <td>0.990379</td>\n",
       "      <td>0.468851</td>\n",
       "      <td>-12816.161296</td>\n",
       "      <td>0.000000</td>\n",
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       "    <tr>\n",
       "      <th>002270_002553</th>\n",
       "      <td>机械行业</td>\n",
       "      <td>0.153846</td>\n",
       "      <td>0.000033</td>\n",
       "      <td>0.421122</td>\n",
       "      <td>0.695411</td>\n",
       "      <td>0.031174</td>\n",
       "      <td>0.114759</td>\n",
       "      <td>0.744911</td>\n",
       "      <td>-21137.343148</td>\n",
       "      <td>0.023810</td>\n",
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       "    <tr>\n",
       "      <th>600109_600291</th>\n",
       "      <td>金融行业</td>\n",
       "      <td>0.188811</td>\n",
       "      <td>0.002510</td>\n",
       "      <td>0.603582</td>\n",
       "      <td>0.698102</td>\n",
       "      <td>0.022869</td>\n",
       "      <td>0.713438</td>\n",
       "      <td>1.280200</td>\n",
       "      <td>-8100.975060</td>\n",
       "      <td>0.095238</td>\n",
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       "    <tr>\n",
       "      <th>000869_002646</th>\n",
       "      <td>酿酒行业</td>\n",
       "      <td>0.167832</td>\n",
       "      <td>0.047279</td>\n",
       "      <td>0.685531</td>\n",
       "      <td>0.699736</td>\n",
       "      <td>0.023761</td>\n",
       "      <td>0.979736</td>\n",
       "      <td>1.459481</td>\n",
       "      <td>-378.883243</td>\n",
       "      <td>0.000000</td>\n",
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       "    <tr>\n",
       "      <th>002104_002463</th>\n",
       "      <td>电子器件</td>\n",
       "      <td>0.230769</td>\n",
       "      <td>0.009488</td>\n",
       "      <td>0.446120</td>\n",
       "      <td>0.710083</td>\n",
       "      <td>0.026493</td>\n",
       "      <td>0.386337</td>\n",
       "      <td>0.923330</td>\n",
       "      <td>-5696.178883</td>\n",
       "      <td>0.023810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600078_300387</th>\n",
       "      <td>化工行业</td>\n",
       "      <td>0.167832</td>\n",
       "      <td>0.022085</td>\n",
       "      <td>0.500103</td>\n",
       "      <td>0.737723</td>\n",
       "      <td>0.042556</td>\n",
       "      <td>0.628493</td>\n",
       "      <td>0.914717</td>\n",
       "      <td>-41684.390956</td>\n",
       "      <td>0.000000</td>\n",
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       "    <tr>\n",
       "      <th>000528_600218</th>\n",
       "      <td>机械行业</td>\n",
       "      <td>0.160839</td>\n",
       "      <td>0.038879</td>\n",
       "      <td>0.580471</td>\n",
       "      <td>0.769351</td>\n",
       "      <td>0.028387</td>\n",
       "      <td>0.085193</td>\n",
       "      <td>0.876219</td>\n",
       "      <td>-47464.366405</td>\n",
       "      <td>0.023810</td>\n",
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       "    <tr>\n",
       "      <th>600376_600266</th>\n",
       "      <td>房地产</td>\n",
       "      <td>0.153846</td>\n",
       "      <td>0.000328</td>\n",
       "      <td>0.702150</td>\n",
       "      <td>0.785192</td>\n",
       "      <td>0.023748</td>\n",
       "      <td>0.974761</td>\n",
       "      <td>1.243899</td>\n",
       "      <td>-12468.017815</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000581_600093</th>\n",
       "      <td>汽车制造</td>\n",
       "      <td>0.181818</td>\n",
       "      <td>0.023907</td>\n",
       "      <td>0.328049</td>\n",
       "      <td>0.809272</td>\n",
       "      <td>0.033836</td>\n",
       "      <td>0.776005</td>\n",
       "      <td>1.773914</td>\n",
       "      <td>-287.660538</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600628_600723</th>\n",
       "      <td>商业百货</td>\n",
       "      <td>0.160839</td>\n",
       "      <td>0.029610</td>\n",
       "      <td>0.450269</td>\n",
       "      <td>0.814991</td>\n",
       "      <td>0.023523</td>\n",
       "      <td>0.110225</td>\n",
       "      <td>1.974723</td>\n",
       "      <td>-3107.291701</td>\n",
       "      <td>0.095238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000598_603588</th>\n",
       "      <td>环保行业</td>\n",
       "      <td>0.195804</td>\n",
       "      <td>0.011271</td>\n",
       "      <td>0.604325</td>\n",
       "      <td>0.817212</td>\n",
       "      <td>0.032668</td>\n",
       "      <td>0.157831</td>\n",
       "      <td>1.069261</td>\n",
       "      <td>-7321.087880</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300014_600980</th>\n",
       "      <td>电子器件</td>\n",
       "      <td>0.146853</td>\n",
       "      <td>0.048460</td>\n",
       "      <td>0.599396</td>\n",
       "      <td>0.830302</td>\n",
       "      <td>0.031420</td>\n",
       "      <td>0.330491</td>\n",
       "      <td>1.256100</td>\n",
       "      <td>-82584.008715</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000561_600345</th>\n",
       "      <td>电子信息</td>\n",
       "      <td>0.258741</td>\n",
       "      <td>0.024719</td>\n",
       "      <td>0.529009</td>\n",
       "      <td>0.840124</td>\n",
       "      <td>0.029558</td>\n",
       "      <td>0.453406</td>\n",
       "      <td>0.938316</td>\n",
       "      <td>-38457.586900</td>\n",
       "      <td>0.071429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000661_000963</th>\n",
       "      <td>生物制药</td>\n",
       "      <td>0.167832</td>\n",
       "      <td>0.029435</td>\n",
       "      <td>0.605090</td>\n",
       "      <td>0.842432</td>\n",
       "      <td>0.016824</td>\n",
       "      <td>0.954023</td>\n",
       "      <td>1.960876</td>\n",
       "      <td>-73145.731090</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>603123_600723</th>\n",
       "      <td>商业百货</td>\n",
       "      <td>0.111888</td>\n",
       "      <td>0.034637</td>\n",
       "      <td>0.634519</td>\n",
       "      <td>0.874728</td>\n",
       "      <td>0.019356</td>\n",
       "      <td>0.405285</td>\n",
       "      <td>0.781998</td>\n",
       "      <td>-3787.786049</td>\n",
       "      <td>0.119048</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              c_name  cross_rate   p_value     corr_  rsquared      risk  \\\n",
       "name                                                                       \n",
       "002412_600829   生物制药    0.202797  0.004606  0.258678  0.602656  0.031278   \n",
       "002446_600562   电子信息    0.118881  0.017013  0.549152  0.608813  0.032730   \n",
       "603698_600765   机械行业    0.132867  0.034664  0.643506  0.639335  0.026925   \n",
       "601377_000686   金融行业    0.111888  0.018441  0.803245  0.644474  0.028576   \n",
       "000686_601377   金融行业    0.132867  0.010838  0.803245  0.644474  0.027559   \n",
       "002258_600470   农药化肥    0.160839  0.041605  0.481017  0.656288  0.036517   \n",
       "002422_002412   生物制药    0.153846  0.048832  0.432111  0.685425  0.030357   \n",
       "300439_600479   生物制药    0.237762  0.038112  0.451692  0.685446  0.022319   \n",
       "002553_002270   机械行业    0.160839  0.000075  0.421122  0.695411  0.037609   \n",
       "002270_002553   机械行业    0.153846  0.000033  0.421122  0.695411  0.031174   \n",
       "600109_600291   金融行业    0.188811  0.002510  0.603582  0.698102  0.022869   \n",
       "000869_002646   酿酒行业    0.167832  0.047279  0.685531  0.699736  0.023761   \n",
       "002104_002463   电子器件    0.230769  0.009488  0.446120  0.710083  0.026493   \n",
       "600078_300387   化工行业    0.167832  0.022085  0.500103  0.737723  0.042556   \n",
       "000528_600218   机械行业    0.160839  0.038879  0.580471  0.769351  0.028387   \n",
       "600376_600266    房地产    0.153846  0.000328  0.702150  0.785192  0.023748   \n",
       "000581_600093   汽车制造    0.181818  0.023907  0.328049  0.809272  0.033836   \n",
       "600628_600723   商业百货    0.160839  0.029610  0.450269  0.814991  0.023523   \n",
       "000598_603588   环保行业    0.195804  0.011271  0.604325  0.817212  0.032668   \n",
       "300014_600980   电子器件    0.146853  0.048460  0.599396  0.830302  0.031420   \n",
       "000561_600345   电子信息    0.258741  0.024719  0.529009  0.840124  0.029558   \n",
       "000661_000963   生物制药    0.167832  0.029435  0.605090  0.842432  0.016824   \n",
       "603123_600723   商业百货    0.111888  0.034637  0.634519  0.874728  0.019356   \n",
       "\n",
       "               last_bias  tail_bias        profit     score  \n",
       "name                                                         \n",
       "002412_600829   0.925217   1.945991  -3824.450775  0.000000  \n",
       "002446_600562   0.203874   1.594374 -24234.378499  0.000000  \n",
       "603698_600765   0.418809   1.985105   -374.480302  0.000000  \n",
       "601377_000686   0.431435   0.607880   -312.435166  0.000000  \n",
       "000686_601377   0.011407   0.555280  -4123.043659  0.000000  \n",
       "002258_600470   0.283865   1.466776 -24019.023576  0.071429  \n",
       "002422_002412   0.639886   1.499003  -1422.758225  0.000000  \n",
       "300439_600479   0.258533   1.187824   -314.242917  0.047619  \n",
       "002553_002270   0.990379   0.468851 -12816.161296  0.000000  \n",
       "002270_002553   0.114759   0.744911 -21137.343148  0.023810  \n",
       "600109_600291   0.713438   1.280200  -8100.975060  0.095238  \n",
       "000869_002646   0.979736   1.459481   -378.883243  0.000000  \n",
       "002104_002463   0.386337   0.923330  -5696.178883  0.023810  \n",
       "600078_300387   0.628493   0.914717 -41684.390956  0.000000  \n",
       "000528_600218   0.085193   0.876219 -47464.366405  0.023810  \n",
       "600376_600266   0.974761   1.243899 -12468.017815  0.000000  \n",
       "000581_600093   0.776005   1.773914   -287.660538  0.000000  \n",
       "600628_600723   0.110225   1.974723  -3107.291701  0.095238  \n",
       "000598_603588   0.157831   1.069261  -7321.087880  0.000000  \n",
       "300014_600980   0.330491   1.256100 -82584.008715  0.000000  \n",
       "000561_600345   0.453406   0.938316 -38457.586900  0.071429  \n",
       "000661_000963   0.954023   1.960876 -73145.731090  0.000000  \n",
       "603123_600723   0.405285   0.781998  -3787.786049  0.119048  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>c_name</th>\n",
       "      <th>cross_rate</th>\n",
       "      <th>p_value</th>\n",
       "      <th>corr_</th>\n",
       "      <th>rsquared</th>\n",
       "      <th>risk</th>\n",
       "      <th>last_bias</th>\n",
       "      <th>tail_bias</th>\n",
       "      <th>profit</th>\n",
       "      <th>score</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>600332_600479</th>\n",
       "      <td>生物制药</td>\n",
       "      <td>0.146853</td>\n",
       "      <td>2.822038e-02</td>\n",
       "      <td>0.442499</td>\n",
       "      <td>0.601727</td>\n",
       "      <td>0.025114</td>\n",
       "      <td>0.471473</td>\n",
       "      <td>1.016710</td>\n",
       "      <td>30410.811953</td>\n",
       "      <td>0.095238</td>\n",
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       "    <tr>\n",
       "      <th>600829_002412</th>\n",
       "      <td>生物制药</td>\n",
       "      <td>0.174825</td>\n",
       "      <td>3.393355e-02</td>\n",
       "      <td>0.258678</td>\n",
       "      <td>0.602656</td>\n",
       "      <td>0.034118</td>\n",
       "      <td>0.921923</td>\n",
       "      <td>1.875166</td>\n",
       "      <td>589.577660</td>\n",
       "      <td>0.000000</td>\n",
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       "    <tr>\n",
       "      <th>002250_002037</th>\n",
       "      <td>化工行业</td>\n",
       "      <td>0.146853</td>\n",
       "      <td>4.837530e-02</td>\n",
       "      <td>0.360861</td>\n",
       "      <td>0.607975</td>\n",
       "      <td>0.051412</td>\n",
       "      <td>0.817385</td>\n",
       "      <td>0.931383</td>\n",
       "      <td>31332.391750</td>\n",
       "      <td>0.142857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600383_600724</th>\n",
       "      <td>房地产</td>\n",
       "      <td>0.160839</td>\n",
       "      <td>4.061534e-02</td>\n",
       "      <td>0.292851</td>\n",
       "      <td>0.616621</td>\n",
       "      <td>0.032553</td>\n",
       "      <td>0.489055</td>\n",
       "      <td>1.214257</td>\n",
       "      <td>29026.444014</td>\n",
       "      <td>0.142857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600373_601928</th>\n",
       "      <td>传媒娱乐</td>\n",
       "      <td>0.118881</td>\n",
       "      <td>1.612990e-02</td>\n",
       "      <td>0.493127</td>\n",
       "      <td>0.627240</td>\n",
       "      <td>0.020774</td>\n",
       "      <td>0.101037</td>\n",
       "      <td>0.975850</td>\n",
       "      <td>8912.162164</td>\n",
       "      <td>0.119048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000810_002273</th>\n",
       "      <td>电子器件</td>\n",
       "      <td>0.146853</td>\n",
       "      <td>2.481280e-02</td>\n",
       "      <td>0.620989</td>\n",
       "      <td>0.632660</td>\n",
       "      <td>0.057706</td>\n",
       "      <td>0.429164</td>\n",
       "      <td>0.830008</td>\n",
       "      <td>138743.007996</td>\n",
       "      <td>0.071429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300255_300204</th>\n",
       "      <td>生物制药</td>\n",
       "      <td>0.202797</td>\n",
       "      <td>1.932774e-02</td>\n",
       "      <td>0.446049</td>\n",
       "      <td>0.635521</td>\n",
       "      <td>0.027985</td>\n",
       "      <td>1.007932</td>\n",
       "      <td>1.210757</td>\n",
       "      <td>25381.018283</td>\n",
       "      <td>0.047619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>002557_603020</th>\n",
       "      <td>食品行业</td>\n",
       "      <td>0.125874</td>\n",
       "      <td>5.783423e-03</td>\n",
       "      <td>0.430802</td>\n",
       "      <td>0.638244</td>\n",
       "      <td>0.039810</td>\n",
       "      <td>0.006619</td>\n",
       "      <td>0.856596</td>\n",
       "      <td>11042.603135</td>\n",
       "      <td>0.047619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600806_600218</th>\n",
       "      <td>机械行业</td>\n",
       "      <td>0.125874</td>\n",
       "      <td>3.863589e-02</td>\n",
       "      <td>0.382618</td>\n",
       "      <td>0.642630</td>\n",
       "      <td>0.035334</td>\n",
       "      <td>0.236207</td>\n",
       "      <td>0.894456</td>\n",
       "      <td>70286.511625</td>\n",
       "      <td>0.214286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>002038_300049</th>\n",
       "      <td>生物制药</td>\n",
       "      <td>0.181818</td>\n",
       "      <td>9.808486e-03</td>\n",
       "      <td>0.441733</td>\n",
       "      <td>0.645705</td>\n",
       "      <td>0.040260</td>\n",
       "      <td>0.010696</td>\n",
       "      <td>0.627155</td>\n",
       "      <td>9429.227734</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000404_002328</th>\n",
       "      <td>机械行业</td>\n",
       "      <td>0.111888</td>\n",
       "      <td>2.620383e-03</td>\n",
       "      <td>0.332988</td>\n",
       "      <td>0.658291</td>\n",
       "      <td>0.040431</td>\n",
       "      <td>1.040800</td>\n",
       "      <td>1.130494</td>\n",
       "      <td>46903.464946</td>\n",
       "      <td>0.142857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300172_002549</th>\n",
       "      <td>环保行业</td>\n",
       "      <td>0.160839</td>\n",
       "      <td>2.330028e-02</td>\n",
       "      <td>0.404301</td>\n",
       "      <td>0.668704</td>\n",
       "      <td>0.037214</td>\n",
       "      <td>0.859767</td>\n",
       "      <td>1.041605</td>\n",
       "      <td>137389.494581</td>\n",
       "      <td>0.095238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>002413_002553</th>\n",
       "      <td>机械行业</td>\n",
       "      <td>0.153846</td>\n",
       "      <td>1.569961e-03</td>\n",
       "      <td>0.314098</td>\n",
       "      <td>0.669832</td>\n",
       "      <td>0.032457</td>\n",
       "      <td>0.139339</td>\n",
       "      <td>1.526139</td>\n",
       "      <td>89475.708849</td>\n",
       "      <td>0.023810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600000_600837</th>\n",
       "      <td>金融行业</td>\n",
       "      <td>0.111888</td>\n",
       "      <td>5.651619e-03</td>\n",
       "      <td>0.537740</td>\n",
       "      <td>0.669855</td>\n",
       "      <td>0.022893</td>\n",
       "      <td>0.094258</td>\n",
       "      <td>0.873541</td>\n",
       "      <td>34437.845371</td>\n",
       "      <td>0.047619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600503_000046</th>\n",
       "      <td>房地产</td>\n",
       "      <td>0.181818</td>\n",
       "      <td>6.421631e-07</td>\n",
       "      <td>0.376118</td>\n",
       "      <td>0.670943</td>\n",
       "      <td>0.025633</td>\n",
       "      <td>0.571604</td>\n",
       "      <td>1.205482</td>\n",
       "      <td>19578.211183</td>\n",
       "      <td>0.142857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601919_600190</th>\n",
       "      <td>交通运输</td>\n",
       "      <td>0.132867</td>\n",
       "      <td>6.287686e-04</td>\n",
       "      <td>0.688481</td>\n",
       "      <td>0.671194</td>\n",
       "      <td>0.015157</td>\n",
       "      <td>0.176493</td>\n",
       "      <td>1.906211</td>\n",
       "      <td>46566.590017</td>\n",
       "      <td>0.119048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300181_300119</th>\n",
       "      <td>生物制药</td>\n",
       "      <td>0.146853</td>\n",
       "      <td>1.715799e-02</td>\n",
       "      <td>0.396273</td>\n",
       "      <td>0.671786</td>\n",
       "      <td>0.047731</td>\n",
       "      <td>0.577115</td>\n",
       "      <td>0.632822</td>\n",
       "      <td>35699.155135</td>\n",
       "      <td>0.095238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600548_000548</th>\n",
       "      <td>公路桥梁</td>\n",
       "      <td>0.230769</td>\n",
       "      <td>6.258568e-03</td>\n",
       "      <td>0.458572</td>\n",
       "      <td>0.673259</td>\n",
       "      <td>0.020331</td>\n",
       "      <td>0.099798</td>\n",
       "      <td>1.954557</td>\n",
       "      <td>16102.520963</td>\n",
       "      <td>0.047619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600724_600266</th>\n",
       "      <td>房地产</td>\n",
       "      <td>0.139860</td>\n",
       "      <td>4.622436e-02</td>\n",
       "      <td>0.486032</td>\n",
       "      <td>0.679468</td>\n",
       "      <td>0.029009</td>\n",
       "      <td>0.804792</td>\n",
       "      <td>1.680778</td>\n",
       "      <td>51146.843348</td>\n",
       "      <td>0.214286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>002544_600677</th>\n",
       "      <td>电子信息</td>\n",
       "      <td>0.174825</td>\n",
       "      <td>5.103140e-05</td>\n",
       "      <td>0.378448</td>\n",
       "      <td>0.683943</td>\n",
       "      <td>0.033007</td>\n",
       "      <td>0.551063</td>\n",
       "      <td>1.527740</td>\n",
       "      <td>5597.641136</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000686_600291</th>\n",
       "      <td>金融行业</td>\n",
       "      <td>0.188811</td>\n",
       "      <td>5.463282e-03</td>\n",
       "      <td>0.658314</td>\n",
       "      <td>0.698648</td>\n",
       "      <td>0.022848</td>\n",
       "      <td>0.364607</td>\n",
       "      <td>0.670164</td>\n",
       "      <td>63855.577291</td>\n",
       "      <td>0.023810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000597_600566</th>\n",
       "      <td>生物制药</td>\n",
       "      <td>0.202797</td>\n",
       "      <td>4.429574e-02</td>\n",
       "      <td>0.161302</td>\n",
       "      <td>0.709041</td>\n",
       "      <td>0.050425</td>\n",
       "      <td>0.999697</td>\n",
       "      <td>1.307707</td>\n",
       "      <td>79515.915639</td>\n",
       "      <td>0.166667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600566_000597</th>\n",
       "      <td>生物制药</td>\n",
       "      <td>0.160839</td>\n",
       "      <td>4.922480e-02</td>\n",
       "      <td>0.161302</td>\n",
       "      <td>0.709041</td>\n",
       "      <td>0.040048</td>\n",
       "      <td>0.713340</td>\n",
       "      <td>1.151980</td>\n",
       "      <td>111944.618243</td>\n",
       "      <td>0.119048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000811_002328</th>\n",
       "      <td>机械行业</td>\n",
       "      <td>0.167832</td>\n",
       "      <td>6.406251e-03</td>\n",
       "      <td>0.392397</td>\n",
       "      <td>0.722149</td>\n",
       "      <td>0.036458</td>\n",
       "      <td>0.755958</td>\n",
       "      <td>0.833688</td>\n",
       "      <td>1385.978886</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600131_000543</th>\n",
       "      <td>电力行业</td>\n",
       "      <td>0.146853</td>\n",
       "      <td>2.638351e-02</td>\n",
       "      <td>0.320842</td>\n",
       "      <td>0.740921</td>\n",
       "      <td>0.032419</td>\n",
       "      <td>0.070402</td>\n",
       "      <td>0.795072</td>\n",
       "      <td>20772.084540</td>\n",
       "      <td>0.119048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300194_603998</th>\n",
       "      <td>生物制药</td>\n",
       "      <td>0.174825</td>\n",
       "      <td>2.716221e-02</td>\n",
       "      <td>0.288433</td>\n",
       "      <td>0.743502</td>\n",
       "      <td>0.046952</td>\n",
       "      <td>0.046531</td>\n",
       "      <td>1.875545</td>\n",
       "      <td>85308.456206</td>\n",
       "      <td>0.190476</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600856_600778</th>\n",
       "      <td>商业百货</td>\n",
       "      <td>0.174825</td>\n",
       "      <td>1.686407e-02</td>\n",
       "      <td>0.323057</td>\n",
       "      <td>0.770745</td>\n",
       "      <td>0.030612</td>\n",
       "      <td>0.154990</td>\n",
       "      <td>1.595647</td>\n",
       "      <td>62578.923160</td>\n",
       "      <td>0.047619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000501_600723</th>\n",
       "      <td>商业百货</td>\n",
       "      <td>0.181818</td>\n",
       "      <td>4.417183e-02</td>\n",
       "      <td>0.532807</td>\n",
       "      <td>0.777054</td>\n",
       "      <td>0.025822</td>\n",
       "      <td>0.105622</td>\n",
       "      <td>1.312911</td>\n",
       "      <td>21698.743704</td>\n",
       "      <td>0.095238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601669_002247</th>\n",
       "      <td>建筑建材</td>\n",
       "      <td>0.132867</td>\n",
       "      <td>1.254883e-02</td>\n",
       "      <td>0.202338</td>\n",
       "      <td>0.778136</td>\n",
       "      <td>0.051773</td>\n",
       "      <td>0.629522</td>\n",
       "      <td>1.968268</td>\n",
       "      <td>11702.928285</td>\n",
       "      <td>0.071429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000157_000811</th>\n",
       "      <td>机械行业</td>\n",
       "      <td>0.118881</td>\n",
       "      <td>6.771058e-03</td>\n",
       "      <td>0.350365</td>\n",
       "      <td>0.780702</td>\n",
       "      <td>0.054872</td>\n",
       "      <td>0.690009</td>\n",
       "      <td>1.202233</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.119048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300171_300206</th>\n",
       "      <td>医疗器械</td>\n",
       "      <td>0.125874</td>\n",
       "      <td>3.148797e-02</td>\n",
       "      <td>0.712138</td>\n",
       "      <td>0.783039</td>\n",
       "      <td>0.024583</td>\n",
       "      <td>0.484805</td>\n",
       "      <td>1.089502</td>\n",
       "      <td>69706.987385</td>\n",
       "      <td>0.047619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601218_002328</th>\n",
       "      <td>机械行业</td>\n",
       "      <td>0.146853</td>\n",
       "      <td>8.067622e-04</td>\n",
       "      <td>0.541851</td>\n",
       "      <td>0.784934</td>\n",
       "      <td>0.032076</td>\n",
       "      <td>1.049376</td>\n",
       "      <td>1.189777</td>\n",
       "      <td>48618.222769</td>\n",
       "      <td>0.285714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600748_600240</th>\n",
       "      <td>房地产</td>\n",
       "      <td>0.153846</td>\n",
       "      <td>2.904441e-02</td>\n",
       "      <td>0.371126</td>\n",
       "      <td>0.791339</td>\n",
       "      <td>0.030936</td>\n",
       "      <td>0.506535</td>\n",
       "      <td>1.606012</td>\n",
       "      <td>63063.061938</td>\n",
       "      <td>0.119048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600844_300387</th>\n",
       "      <td>化工行业</td>\n",
       "      <td>0.216783</td>\n",
       "      <td>2.587316e-02</td>\n",
       "      <td>0.373227</td>\n",
       "      <td>0.831617</td>\n",
       "      <td>0.034098</td>\n",
       "      <td>0.241198</td>\n",
       "      <td>0.959894</td>\n",
       "      <td>7109.776841</td>\n",
       "      <td>0.023810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300158_600062</th>\n",
       "      <td>生物制药</td>\n",
       "      <td>0.160839</td>\n",
       "      <td>5.406084e-03</td>\n",
       "      <td>0.398301</td>\n",
       "      <td>0.841730</td>\n",
       "      <td>0.035498</td>\n",
       "      <td>0.661269</td>\n",
       "      <td>0.974032</td>\n",
       "      <td>4608.307628</td>\n",
       "      <td>0.095238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600313_600108</th>\n",
       "      <td>农林牧渔</td>\n",
       "      <td>0.195804</td>\n",
       "      <td>3.476744e-02</td>\n",
       "      <td>0.500853</td>\n",
       "      <td>0.845090</td>\n",
       "      <td>0.022045</td>\n",
       "      <td>0.131708</td>\n",
       "      <td>1.712767</td>\n",
       "      <td>53408.262668</td>\n",
       "      <td>0.166667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600015_601336</th>\n",
       "      <td>金融行业</td>\n",
       "      <td>0.202797</td>\n",
       "      <td>1.121743e-02</td>\n",
       "      <td>0.649196</td>\n",
       "      <td>0.858703</td>\n",
       "      <td>0.018937</td>\n",
       "      <td>0.290496</td>\n",
       "      <td>1.737677</td>\n",
       "      <td>26628.547935</td>\n",
       "      <td>0.214286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000597_002422</th>\n",
       "      <td>生物制药</td>\n",
       "      <td>0.181818</td>\n",
       "      <td>3.857408e-02</td>\n",
       "      <td>0.434734</td>\n",
       "      <td>0.863772</td>\n",
       "      <td>0.021077</td>\n",
       "      <td>0.482513</td>\n",
       "      <td>1.384724</td>\n",
       "      <td>64621.461212</td>\n",
       "      <td>0.214286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>002467_600756</th>\n",
       "      <td>电子信息</td>\n",
       "      <td>0.146853</td>\n",
       "      <td>1.355457e-02</td>\n",
       "      <td>0.730507</td>\n",
       "      <td>0.901611</td>\n",
       "      <td>0.024806</td>\n",
       "      <td>0.005581</td>\n",
       "      <td>1.330752</td>\n",
       "      <td>53704.284156</td>\n",
       "      <td>0.166667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600448_002394</th>\n",
       "      <td>纺织行业</td>\n",
       "      <td>0.167832</td>\n",
       "      <td>3.400279e-02</td>\n",
       "      <td>0.642174</td>\n",
       "      <td>0.914568</td>\n",
       "      <td>0.026582</td>\n",
       "      <td>0.588293</td>\n",
       "      <td>1.605153</td>\n",
       "      <td>55773.797778</td>\n",
       "      <td>0.095238</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              c_name  cross_rate       p_value     corr_  rsquared      risk  \\\n",
       "name                                                                           \n",
       "600332_600479   生物制药    0.146853  2.822038e-02  0.442499  0.601727  0.025114   \n",
       "600829_002412   生物制药    0.174825  3.393355e-02  0.258678  0.602656  0.034118   \n",
       "002250_002037   化工行业    0.146853  4.837530e-02  0.360861  0.607975  0.051412   \n",
       "600383_600724    房地产    0.160839  4.061534e-02  0.292851  0.616621  0.032553   \n",
       "600373_601928   传媒娱乐    0.118881  1.612990e-02  0.493127  0.627240  0.020774   \n",
       "000810_002273   电子器件    0.146853  2.481280e-02  0.620989  0.632660  0.057706   \n",
       "300255_300204   生物制药    0.202797  1.932774e-02  0.446049  0.635521  0.027985   \n",
       "002557_603020   食品行业    0.125874  5.783423e-03  0.430802  0.638244  0.039810   \n",
       "600806_600218   机械行业    0.125874  3.863589e-02  0.382618  0.642630  0.035334   \n",
       "002038_300049   生物制药    0.181818  9.808486e-03  0.441733  0.645705  0.040260   \n",
       "000404_002328   机械行业    0.111888  2.620383e-03  0.332988  0.658291  0.040431   \n",
       "300172_002549   环保行业    0.160839  2.330028e-02  0.404301  0.668704  0.037214   \n",
       "002413_002553   机械行业    0.153846  1.569961e-03  0.314098  0.669832  0.032457   \n",
       "600000_600837   金融行业    0.111888  5.651619e-03  0.537740  0.669855  0.022893   \n",
       "600503_000046    房地产    0.181818  6.421631e-07  0.376118  0.670943  0.025633   \n",
       "601919_600190   交通运输    0.132867  6.287686e-04  0.688481  0.671194  0.015157   \n",
       "300181_300119   生物制药    0.146853  1.715799e-02  0.396273  0.671786  0.047731   \n",
       "600548_000548   公路桥梁    0.230769  6.258568e-03  0.458572  0.673259  0.020331   \n",
       "600724_600266    房地产    0.139860  4.622436e-02  0.486032  0.679468  0.029009   \n",
       "002544_600677   电子信息    0.174825  5.103140e-05  0.378448  0.683943  0.033007   \n",
       "000686_600291   金融行业    0.188811  5.463282e-03  0.658314  0.698648  0.022848   \n",
       "000597_600566   生物制药    0.202797  4.429574e-02  0.161302  0.709041  0.050425   \n",
       "600566_000597   生物制药    0.160839  4.922480e-02  0.161302  0.709041  0.040048   \n",
       "000811_002328   机械行业    0.167832  6.406251e-03  0.392397  0.722149  0.036458   \n",
       "600131_000543   电力行业    0.146853  2.638351e-02  0.320842  0.740921  0.032419   \n",
       "300194_603998   生物制药    0.174825  2.716221e-02  0.288433  0.743502  0.046952   \n",
       "600856_600778   商业百货    0.174825  1.686407e-02  0.323057  0.770745  0.030612   \n",
       "000501_600723   商业百货    0.181818  4.417183e-02  0.532807  0.777054  0.025822   \n",
       "601669_002247   建筑建材    0.132867  1.254883e-02  0.202338  0.778136  0.051773   \n",
       "000157_000811   机械行业    0.118881  6.771058e-03  0.350365  0.780702  0.054872   \n",
       "300171_300206   医疗器械    0.125874  3.148797e-02  0.712138  0.783039  0.024583   \n",
       "601218_002328   机械行业    0.146853  8.067622e-04  0.541851  0.784934  0.032076   \n",
       "600748_600240    房地产    0.153846  2.904441e-02  0.371126  0.791339  0.030936   \n",
       "600844_300387   化工行业    0.216783  2.587316e-02  0.373227  0.831617  0.034098   \n",
       "300158_600062   生物制药    0.160839  5.406084e-03  0.398301  0.841730  0.035498   \n",
       "600313_600108   农林牧渔    0.195804  3.476744e-02  0.500853  0.845090  0.022045   \n",
       "600015_601336   金融行业    0.202797  1.121743e-02  0.649196  0.858703  0.018937   \n",
       "000597_002422   生物制药    0.181818  3.857408e-02  0.434734  0.863772  0.021077   \n",
       "002467_600756   电子信息    0.146853  1.355457e-02  0.730507  0.901611  0.024806   \n",
       "600448_002394   纺织行业    0.167832  3.400279e-02  0.642174  0.914568  0.026582   \n",
       "\n",
       "               last_bias  tail_bias         profit     score  \n",
       "name                                                          \n",
       "600332_600479   0.471473   1.016710   30410.811953  0.095238  \n",
       "600829_002412   0.921923   1.875166     589.577660  0.000000  \n",
       "002250_002037   0.817385   0.931383   31332.391750  0.142857  \n",
       "600383_600724   0.489055   1.214257   29026.444014  0.142857  \n",
       "600373_601928   0.101037   0.975850    8912.162164  0.119048  \n",
       "000810_002273   0.429164   0.830008  138743.007996  0.071429  \n",
       "300255_300204   1.007932   1.210757   25381.018283  0.047619  \n",
       "002557_603020   0.006619   0.856596   11042.603135  0.047619  \n",
       "600806_600218   0.236207   0.894456   70286.511625  0.214286  \n",
       "002038_300049   0.010696   0.627155    9429.227734  0.000000  \n",
       "000404_002328   1.040800   1.130494   46903.464946  0.142857  \n",
       "300172_002549   0.859767   1.041605  137389.494581  0.095238  \n",
       "002413_002553   0.139339   1.526139   89475.708849  0.023810  \n",
       "600000_600837   0.094258   0.873541   34437.845371  0.047619  \n",
       "600503_000046   0.571604   1.205482   19578.211183  0.142857  \n",
       "601919_600190   0.176493   1.906211   46566.590017  0.119048  \n",
       "300181_300119   0.577115   0.632822   35699.155135  0.095238  \n",
       "600548_000548   0.099798   1.954557   16102.520963  0.047619  \n",
       "600724_600266   0.804792   1.680778   51146.843348  0.214286  \n",
       "002544_600677   0.551063   1.527740    5597.641136  0.000000  \n",
       "000686_600291   0.364607   0.670164   63855.577291  0.023810  \n",
       "000597_600566   0.999697   1.307707   79515.915639  0.166667  \n",
       "600566_000597   0.713340   1.151980  111944.618243  0.119048  \n",
       "000811_002328   0.755958   0.833688    1385.978886  0.000000  \n",
       "600131_000543   0.070402   0.795072   20772.084540  0.119048  \n",
       "300194_603998   0.046531   1.875545   85308.456206  0.190476  \n",
       "600856_600778   0.154990   1.595647   62578.923160  0.047619  \n",
       "000501_600723   0.105622   1.312911   21698.743704  0.095238  \n",
       "601669_002247   0.629522   1.968268   11702.928285  0.071429  \n",
       "000157_000811   0.690009   1.202233       0.000000  0.119048  \n",
       "300171_300206   0.484805   1.089502   69706.987385  0.047619  \n",
       "601218_002328   1.049376   1.189777   48618.222769  0.285714  \n",
       "600748_600240   0.506535   1.606012   63063.061938  0.119048  \n",
       "600844_300387   0.241198   0.959894    7109.776841  0.023810  \n",
       "300158_600062   0.661269   0.974032    4608.307628  0.095238  \n",
       "600313_600108   0.131708   1.712767   53408.262668  0.166667  \n",
       "600015_601336   0.290496   1.737677   26628.547935  0.214286  \n",
       "000597_002422   0.482513   1.384724   64621.461212  0.214286  \n",
       "002467_600756   0.005581   1.330752   53704.284156  0.166667  \n",
       "600448_002394   0.588293   1.605153   55773.797778  0.095238  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>cross_rate</th>\n",
       "      <th>p_value</th>\n",
       "      <th>corr_</th>\n",
       "      <th>rsquared</th>\n",
       "      <th>risk</th>\n",
       "      <th>last_bias</th>\n",
       "      <th>tail_bias</th>\n",
       "      <th>profit</th>\n",
       "      <th>score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>cross_rate</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.025592</td>\n",
       "      <td>-0.180783</td>\n",
       "      <td>0.199729</td>\n",
       "      <td>-0.162757</td>\n",
       "      <td>0.033905</td>\n",
       "      <td>0.160425</td>\n",
       "      <td>-0.101168</td>\n",
       "      <td>-0.100769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>p_value</th>\n",
       "      <td>0.025592</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.075590</td>\n",
       "      <td>0.093173</td>\n",
       "      <td>0.040995</td>\n",
       "      <td>0.045096</td>\n",
       "      <td>0.159796</td>\n",
       "      <td>0.059529</td>\n",
       "      <td>0.161968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>corr_</th>\n",
       "      <td>-0.180783</td>\n",
       "      <td>-0.075590</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.215094</td>\n",
       "      <td>-0.529830</td>\n",
       "      <td>-0.222969</td>\n",
       "      <td>-0.163114</td>\n",
       "      <td>-0.230085</td>\n",
       "      <td>-0.169698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rsquared</th>\n",
       "      <td>0.199729</td>\n",
       "      <td>0.093173</td>\n",
       "      <td>0.215094</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.233322</td>\n",
       "      <td>-0.075181</td>\n",
       "      <td>0.162135</td>\n",
       "      <td>-0.112713</td>\n",
       "      <td>0.205113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>risk</th>\n",
       "      <td>-0.162757</td>\n",
       "      <td>0.040995</td>\n",
       "      <td>-0.529830</td>\n",
       "      <td>-0.233322</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.223851</td>\n",
       "      <td>-0.211210</td>\n",
       "      <td>0.244188</td>\n",
       "      <td>0.046465</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>last_bias</th>\n",
       "      <td>0.033905</td>\n",
       "      <td>0.045096</td>\n",
       "      <td>-0.222969</td>\n",
       "      <td>-0.075181</td>\n",
       "      <td>0.223851</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.098147</td>\n",
       "      <td>0.012652</td>\n",
       "      <td>0.022340</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tail_bias</th>\n",
       "      <td>0.160425</td>\n",
       "      <td>0.159796</td>\n",
       "      <td>-0.163114</td>\n",
       "      <td>0.162135</td>\n",
       "      <td>-0.211210</td>\n",
       "      <td>0.098147</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.011683</td>\n",
       "      <td>0.105136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>profit</th>\n",
       "      <td>-0.101168</td>\n",
       "      <td>0.059529</td>\n",
       "      <td>-0.230085</td>\n",
       "      <td>-0.112713</td>\n",
       "      <td>0.244188</td>\n",
       "      <td>0.012652</td>\n",
       "      <td>0.011683</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.513413</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>score</th>\n",
       "      <td>-0.100769</td>\n",
       "      <td>0.161968</td>\n",
       "      <td>-0.169698</td>\n",
       "      <td>0.205113</td>\n",
       "      <td>0.046465</td>\n",
       "      <td>0.022340</td>\n",
       "      <td>0.105136</td>\n",
       "      <td>0.513413</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            cross_rate   p_value     corr_  rsquared      risk  last_bias  \\\n",
       "cross_rate    1.000000  0.025592 -0.180783  0.199729 -0.162757   0.033905   \n",
       "p_value       0.025592  1.000000 -0.075590  0.093173  0.040995   0.045096   \n",
       "corr_        -0.180783 -0.075590  1.000000  0.215094 -0.529830  -0.222969   \n",
       "rsquared      0.199729  0.093173  0.215094  1.000000 -0.233322  -0.075181   \n",
       "risk         -0.162757  0.040995 -0.529830 -0.233322  1.000000   0.223851   \n",
       "last_bias     0.033905  0.045096 -0.222969 -0.075181  0.223851   1.000000   \n",
       "tail_bias     0.160425  0.159796 -0.163114  0.162135 -0.211210   0.098147   \n",
       "profit       -0.101168  0.059529 -0.230085 -0.112713  0.244188   0.012652   \n",
       "score        -0.100769  0.161968 -0.169698  0.205113  0.046465   0.022340   \n",
       "\n",
       "            tail_bias    profit     score  \n",
       "cross_rate   0.160425 -0.101168 -0.100769  \n",
       "p_value      0.159796  0.059529  0.161968  \n",
       "corr_       -0.163114 -0.230085 -0.169698  \n",
       "rsquared     0.162135 -0.112713  0.205113  \n",
       "risk        -0.211210  0.244188  0.046465  \n",
       "last_bias    0.098147  0.012652  0.022340  \n",
       "tail_bias    1.000000  0.011683  0.105136  \n",
       "profit       0.011683  1.000000  0.513413  \n",
       "score        0.105136  0.513413  1.000000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "records = records.sort_values('rsquared', ascending=True)\n",
    "bad = records[records['profit']<0]\n",
    "good = records[records['profit']>=0]\n",
    "print(len(records.index), len(bad.index))\n",
    "data_columns = [\"cross_rate\",  \"p_value\", \"corr_\", \"rsquared\", \"risk\",\"last_bias\", \"tail_bias\", \"profit\", \"score\",  ]\n",
    "display(records[[\"c_name\"] + data_columns].head(50))\n",
    "display(bad[[\"c_name\"] + data_columns])\n",
    "display(good[[\"c_name\"] + data_columns])\n",
    "display(records[data_columns].corr())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 展示"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "600078_300387 {'beta': 0.9943766727404005, 'const': 1.4939843116297808, 'risk': 0.0425558161089256} 0.0\n"
     ]
    },
    {
     "data": {
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77BO7irJqVeHwp8QgqHXrdmS1RcvP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UNFLSTIZDKXUqbKwsLid5EkXBMn/StqewJERIEye/ZsfPPNNzh27BgA4I033oBWq8XcuXMR5eUM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\n0JOIiIiIiIi46NYNvvg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4ffu2wTk3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\njBo1C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U+lRviT1tUXuZMy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jfwhsa129kCtqYS06MeNgppx//vmyy+ViQ0NDHAC88cYb1m3btk2aUvfGG28Eko94nsfl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\nNA4ZBrQOPywtHbB4O2DxdsLa/bylExZvB7SuYMZ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QoJwMdIld2JzriN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\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94wsFpb4GrFXYdK+7fzNdY8xy08VBvuk+f1Bnf+XRRUTal9rgDbbBCxNhjgL2JL6jicAZ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\nnmPmvRke6J33lHG5JRMPdfd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GcGk8nEE088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\nW8ChNyo7TnlalpqaWqO5gcrP0Y2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ERH8uYnEJTDsPwLBhB0w7fodUYqnQx56Vi9y3ViBv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/fn9ttvZ9iwYURERHD48GEWLFjAgQP+i46vvvoqr7/++tV8u0KuVatWfPzxx0yaNAlVVSkq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\nwLT7Pw51TgHa7v0mjJ6+oQfqOjof/hG06kZkPvElCNWW2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itwYNmh7xTOaSuLs3k31GOBF8te/3J6Tzs1MrPNzewDwE+JYlDnAkcS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     "output_type": "stream",
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EAAAg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\nfNFFFyW97/rAcRweffRRcTk7OxsjR45slLYQQgghhJyLNBqgZUvE/fEcE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dIlbNu2DStXrsSKFSuwbds2+Pj4ICkpSd1jl9iYMWOE21u2bEFmZqZa++fm5uLr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\nEREREREREREpTyKRGAKYAsANQB05S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XLtizZw8sLS15ry9YsAD9+/fH5cuXAQDBwcFYuHAhFixYIGz+q1dDV1cX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\n1+LFi9X19fUcAKxbt86wbds27a233uqYPn26cO7cOfbDD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LUI1qsWQZiMUayURiNdeipM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\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sCXgf0pySg63QNcBVwAnAI8kBK7t+04fzvKSrCPnMrySpKk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\nSp37f4EPZeaFzfHxYmNrwMzR9bXpP3lCc3nnN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P8X+DbwaspiVJ1uBY6v97+RkXr3UuDy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\ndgZe3bPolMx8oBhTRKzMzCuBKyPiQuAMSjGnxmuA64H3tApbzVjrN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SO+/q/rxl6bSZPo8fiWQf4pA5n5/b1tSU4nwlAADAAkqljPr7m/OC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qPQgJJf/kDJ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\nvIKh3/0Bvj8dn/GxAk0n0ffgY+h78DHYKjbBeftOOG+5A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dunUT93l4eDjmzp2LH3/8UWX/1NRUSWiTqakp1q5diz59+kjGTZ48Gf369cOO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\nJL/xivO5jYiIiIiIiIiIiIiIiIiIiIiIiIiIiIi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upuVfWyJO9IcuPR4s6QtOkPF9suAKxDuzqH/uMZxvVkD86hOwYHgBWxaq6DTzg3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\nu7ft4RsADg8Zvj1kOACHk/zeHvIbgMOtqk5N8rQk/zLDjZYnZ2jct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     "output_type": "stream",
     "text": [
      "002544_600677 {'beta': 0.6992785076182353, 'const': 0.5291940548473786, 'risk': 0.03300726111698159} 0.0\n"
     ]
    },
    {
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BEjCl09IqIhJxYzgmfShT2Zj83Nha5lz8iyjpoaIWPYk7nM7S50\nTYl6TteB1tb0oVGJ0/v28Q7YRL0lCH0fqtTT/Yba4NNc38H7m6omB011J2Aq3bI0mek0hNjtgMPR\n+ZhaMi3v6T6ybAw8DIWMv61gsG+m0y3Tev2zMxHR4GC35x8iVVlphBUMpUHuRETFprm5MwDKLJs2\nGZ08B5IkGYNkzBAos1RXD2w9+luhv4MTDTRNM67f5BMiFQgkByL1d+ASb0hCJl03BnIORAhVvoFX\n7DY9uLlcOjweISk8KjVgKt913bh/KBEREXVT4nfwSETCUUfNhKJ4cgY7mdMtLUbfPsrMYgEqKoxS\nXp59urzc+Byk60YfgVjMeDzYS6bXgb8dEw1dbnfXsKgjjgDq6ox+aQc7XkMnIiIaPP7+d+D885OX\nffZZ+t/wo9Eompqa4vOVlZVNFoslBhiBShs3bpT/8Y9/WD799FPLZ599Zt24caMcDofjg//ffPPN\n/aecckqPb+XxwAMPOO+//3739u3bu/wCKEkSTjrppMivfvWrjuOOO67b3/Sj0Sh+8YtfuB9//HHX\nvn37uvRys1qtmD9/fvi+++7rGDt2bF6jhn772986rr766tLu1gUAGhoaGqqqqrJ+a7zhhhs8d911\nV7dH6zmdTj0QCOzLd/vGxkbxzjvvdD/99NNOn8+XNszhmGOOiS5dutR33nnnRfI55kUXXVT6wgsv\nOPKtQya6rtf39hiZ7Ny5U7z11ls9r776qr2lpSVjz8cjjjgidtVVVwWWLFnSq9ENL7/8su2cc84p\nT1x24YUXhp5//vm27hxn3jyUb9wIS1sbWiMRKAB+outY1pu6JRpiQ2yIiPqX1+vF6aefXuhqAADq\n6upQV1fXr8/hcDgwd+7cfn2OwWLs2LEYO3Zsvx1/0qRJfRYyBQClpaU48cQTceKJJ/bZMRNVVlZi\n9uzZaPuyCfuDLsDp6rKNfepRcC/o2d+HIAiYPHkyJk+e3NuqFh2bzYZ5gz26lw4qiT8CmyUaTZ7P\nVPLZrjfHUlXA6TR+oMl0d8nUwh9sDi66bnQUyRb6tHdvcYbFiKIR6jRqFHDIIcZjVVUILS3rMWxY\nCBUVYSxYcAJKS/ljHA1tgmB0XCovB7J9nNZ1o8OOrmef5nYD91xmhrAgJE/31ePBfMzuHFsQOkOX\ncoU3yTLvljZUSZLRAbSv+vCkBk3lCpLKtZxBU5nZbP0bypS6zmYrTHCI293/YabmAMT+Cp1KnI7k\n9dMqEVHPhcOd10DyIYrGoJB8QqTMaau1f9tAxUfXOwfWh8PGZwevl98hiBKpKrBtW2f407p1xuOe\nPQNfl9JSI/TpmGM6A6COPNL4DkBEQ4sodl73GTWq0LUhSi/xOvVgoOtGfwQzJCoY7Lxe2dGR/jpm\nPss5sLzvBAICAgHjxjC9ZbPlHyKVa53Nxu9AREQ0tMRi2T/zJM6nm25vd6G5eT4CAQsUhcmw2Yii\ncROHXMFOqctcLn7+6C9mP6f+DqVK1z86cT6f6f7eh99laKjx+4FPPzVKIlEEDjvMCImaMCE5NKq8\nPP2xiIiIiPrTypXJ80cf3f0bO5155pllf/vb32zBYLBfvj36/X5hwYIFZStXrsz4K4+qqli1apXt\n+OOPr7znnnvaf/zjH+fdM3zv3r3i6aefXr5u3bqMt3lQFAWvvfaa/d1337U98cQTbeeff364u+0o\nRu+9955l4cKF5Y2NjVl7dq9bt85y/vnnl1988cXBp556ql0egDt0e73efrsFy7333uu85ZZbvIFA\nIOff9ObNm+Xly5fbexMM1d7eLlx77bUlPd1/IDEYioiIiNJS97eh9VdPZVxf8V8/hsBfm2iI0XVj\nIGd/hBwVIlgp3/ClocRi6eyY151AqcSSuB/vHllYgUD6sKfEx1Co0LXsmYqK5NCn1McRI4yAjkQd\nHVGsWtXZ+7UQg/aJBitB4N3HiYgGSn8ETSUGR/UkXCpxvr8+H1qtvQ9e6k6Qk93Oz3t9KXEAYmmP\n7gGUP1U1AjP6Kmgq2zQ76RJRPjQNaGoySr683vxDpCorjetp/Lmg/2laZzCTWUKh/JZ1Z9tM+6dy\nOoGRI40yYkT66ZoaBo3R0BCNGsEEe/caZc+ezmmzfPNNYYJv6+o6w5/MMKhRo/j/MhERUSaCYPQD\nsFiM7zIVFb0/ptnXpC8Cpny+9J+/qWcike5/J85ElnsWKJVuHUMeiPKjacZNHxTF+F6Wbrq7873Z\nV9OM33BcLuO6SK7HXNtYrfy/gLpPUXIHNuUb7NT731WlA+XgUlKSf7CTOV1Swt9+Bxuzrxn7m3UG\nZA1UaNVAB2VFo0Y7RdE47/k+dmfbvn4cqs8pCMZ3s82bjfLFF0B7+8D+Q8b8kgAAIABJREFUrW/b\nZpTXX09eV1mZHBRlltGj+f8EERER9Z+3306enzev+8f417/+ZemvUChVVbFw4cLSxFCo0tJS/YIL\nLggeeeSRMZ/PJ3zwwQe2t956y6brOhRFwZIlS0qqqqq0RYsW5fylIxgM4qyzzkoKhRo+fLi2aNGi\n4NixY9X9+/eLb775pm316tVWAPD5fMLixYvLqqurm0866aRod9oyZsyYvEfQSpLUrdAjWZZRW1ub\n1/GdTmdex16zZo186qmnVoTD4fi5HT16tLpgwYJQXV2dqigK/vWvf1n+8pe/OHw+nwAAzz77rNNi\nseDJJ5/M+im7qqpK7c7rAQDt7e1ia2trvC7nnXdev/TWv+GGGzx33XVX/FbDsixj2rRpyowZM5Th\nw4ersiyjqalJ3LBhg/zhhx/acoVm5eNnP/uZd8+ePUXxqZ/BUERERJRWy91PQGv3p13nWfRd2I85\nYoBrRNR7mmZ03N++HdixI/lx+3YjaKZYQ2bIEI0CLS1G6Qs2W88CpTKt549DnaJRY7BMttCnvjqP\nA83pTB/2ZE7X1hodvIiIiIjI+IxcUmKUvhCLGWFR6YKkzGWq2v2wJnbUpXxJkvF5v78/8+u68b2q\nr4KmzOshfdXps9CdTgt9jN7umzgYSNe7nvvBuK7Qz9/X9W5pacGXX34JRZHQ0WFFSclhCIe98cGk\nzc2dA0uH4vXEjg6jfPVVftvbbPmHSFVWGndGL9brZLFY3wYudSfESVEK3fpkwSCwdatRsqms7BoY\nlTpfUcGBkFQYZnheYsBTaujTnj3GNqnvHwPN6QSOOsoIfjJDoI46yvj9gYiIiApLEDoDQLp7N+90\nolHjWmZvA6bMUujPMUNFLAa0thqltwSha5+SnoZNeTzF+x2bBpZ5TblQoUo92Xeo3fAwlSj2Plwq\n26PDwf8fBgNdN67t9SbAKXF6sF0jLGZOZ/7BTuZjWRlvNkpDjygaxWIx3juIBoquA42NnUFRZljU\n5s3G+I6BZP7u+8EHycttNmD8eGDChOTAqPHj2Q+ciIiIemf79q79subO7d0xbTYbjjzyyOhxxx0X\n9fl8wh//+MdefcJ/4IEHnMuXL7eb89OmTVP++te/tlRUVCT+6hBYsWKFdeHCheU+n0/QdR1XXHFF\n6cyZMxtramqy3vr0+uuv965duzb+LfvMM88ML1u2rNWR8MXk1ltv9T/99NOOK6+8sjQajSIcDuOi\niy4q27p1a6OjG19gvvnmm8a8N+6mmpoatS+PH4lEsHDhwvLEUKhrr7028Otf/7rDmnJ3vrvuusv3\nve99r+zjjz+2AsBTTz3lnDVrVmTx4sUZg7nuv/9+3/333+/rTp3mz59f/tZbb8UDwn74wx/2+W3T\n7r33XmdiKNScOXMijzzySPvhhx+e9iqxpml4//33LevXr+/xlZr33nvP8uSTTzoBYPz48bEtW7YM\n6uylQV05IiIiKozIpq/Q8ftX064TXA6UL71ygGtElB9VNTrop4Y+mY87d/KHceqeSMQozc19czyn\ns/uBUpnKYL6DpK4bP5BlC32qrzcG3RQbSTIGq6WGPSU+lpcP3nNDRERENNTJMlBaahSioUwQjLuJ\nW638eyfqD/X1Ebhcnf01pk6tRk2NN+22wWBnZ+HU0KjEaXO+LwaQDjaRiHFdds+e/LYXReP6SbrQ\nqEzztgNdS8xBjH0ZuNSdZUN9QGJ/MP/+163LvI3V2hkUlRgYlTrtdA5cvam46TrQ1pY98GnvXuM6\ndSxW6Np2VVvbGf5kBkGNHcsBvURERAcLi8UIHSgr6/2xdB0IBPomYKqjg31u+oqud4Yy9wWzL0p3\nAqUyzaeMK+lR2zSts6TOp1s21Od7e4xYrG8CmaLRvvl7o76jaZ3/x/YXu71noVL5bmuxDM0+Uub7\nZ1+FOfGaYv+yWPIPdkpcZrfnPjYREfUfQTDClaurgZkzk9cFg8CWLcmhUZs3A19+afxmN1AiEWDD\nBqOkOuSQ5LAoswwfPjQ/HxEREVHfWrkyeX7YMKNfQHddeOGFoVGjRqlTp05VjjnmmJgZHPTb3/7W\n0ZtgKJ/PJ9x1113x21RVVVVpaUKhAACnnnqq8tBDD7VdeumlZQAQCASEW2+91f3YY49lvAK+Y8cO\n8fHHH49HbU6YMCH2pz/9qTU1+AgALrvsstCOHTuk2267zQMAe/bske677z7XjTfeGOhp+wazRx99\n1Lljx45475CFCxeGHnzwwbSvZU1NjbZixYqWo48+unLnzp0SANx8883eCy64IGyz2dLt0m27du0S\nV65cGT/YpEmTYtOnT+/Tq81bt26Vbr755njnzPPPPz/0/PPPt8ly5igkURQxa9as6KxZs3pUl0gk\ngiuvvLJU0zQIgoBHH320fe7cuRU9OdZAYTAUERERJdF1HftvfjBjWkfZkksgDx82wLUiMkSjwO7d\n6UOfduwwwmYGYwd+IlMwaJSGht4fSxCMDjY9CZVKF0blcOT/Q5TPlz7syZzevXtgf3jrS5WV6cOe\nzMeaGg6+ISIiIiIiIqJOTicwerRR8hGNAvv35xciZT4OtWuemma0qzth7C6XMSArHC7OsHHKTlGM\n6/zbt2ffrrQ0c2iUOV1Vxet3Q10gkDvwae9eI8xtsLNYgIkTO0OgzFIxqLuaERERUTERBKN/gNtt\n/NbdW4rSNwFTPh/g9/e+PmToy74oVqvRh0SSuh9gpHcZEkREhWYGnre09M/xJannoVL5BFI5HEbI\nfD5U1XhvySewKVeYk9/P/9MKQRSNYMxsYU7ppgfzDTaJiKhnnE7jpgnHHJO8XNOMfuqpgVFffAE0\nNqY/Vn/ZudMob72VvNzr7QyJmjChc3rsWOM3ASIiIiIAePvt5Pm5c/O/BpLo7rvv7pfI8d///veO\npqameI1uuOEGX7pQKNPixYvDv/nNb6Jr1661AMAf/vAH169+9Suf1+tNu8+DDz7oCicMPPzlL3/Z\nkS4UynTjjTf6f/vb37rq6+tFAHjkkUeGbDDUc889F79tnizLuOeee7LeYqKkpES/6aabfFdeeWUp\nAOzcuVN64YUXHJdddlmf9Jp5/PHHnWpC6vlll13W56/7kiVLvMFgUACA0aNHq08//XTWUKi+cMst\nt3i2bNkiA8All1wSnDNnzqC/NQqDoYiIiChJcMWHCL2/Nu06eXQNSq5eOMA1ooNJJGIEy5gDQFLD\nn/bs4aAfIpOuG51Q/H7jrua9JUnpA6PMIKnW1s4AqLa23j9fIbhcRsBTptCn2lqjQxERERERERER\nUX+xWIw7xQ4fnt/2ug60t6cPjcoUKBUYgt1ehmKbqPva2ozy+eeZt5Ek499XamBU6rzHwwFjg42i\nGNe6s4U+7dljDNAsRuYdPo85pjMA6ogjjIH3RERERMXCau0MYegtTTNDP31YuXINgkEZoZCMurpj\noarOvAM8zPmEcQnUC4piBFoTEeVDVY3/g/vzu7rD0TUwym43AqET3weCwf6rA3Wf15tfsFPispKS\nng2CJSKig4coAmPGGOXUU5PXtbQAX37ZNTTqq68G9vtiRwewZo1REsmyEQ5lBkUlltLSgasfERER\nFV4gAKxenbxs7tzC1CWTV155xW5O2+12/fvf/37OkKHLL788uHbt2hIACIfDeP31120XXXRRON22\nr732Wvz4tbW16hlnnBHJdmyLxYKLL744eM8997gBYM+ePdLq1astxx9/fDTfNhWDjo4O4bPPPovH\niX7rW99SDjnkkJyjqS+44ILwv//7v8MMcHrppZfsfREMpWkannnmmXhQld1uRz5/C93xzTffSCtW\nrIj/PSxdutTndDqz7dJr69atk++77z43AAwbNky79957i6InEoOhiIiIKE6PKGi+5eGM6ytuvQai\n3TaANaKhJhQyQp7MoKfU8Kf6et5pqRjJcmexWJLnM5V8thNF42JH6t0j/X7jMRYrdMuHFlU1Bhm2\ntxe6Jj0jy0awkxnylC74qbSUg72IiIiIiIiIqLgIgnFNo7QUGDcuv31CofxDpJqajI7SREOFqhrh\nQXv2ZN/O5UofGJU4PXw4Q3v6gqoad+rOFvi0d6/x/9FQIIrA+PGd4U9mEFRNDa9PExERESUSRSOw\ntaZGx8iR/vjy2bNj8Hq7dyxdB8LhzKFR2QKl0s1Hsg5BISKigRQKGYWhdQPDfH/2ejtvKpk4nThv\nsYSwa9cmuFwxeDwK5s49FqNHu1FWZvQPJSIiGkjl5cDxxxslkaIY4VCpgVFffGF8/xsosZgRXPXl\nl8ArrySvq67uDImaMKFzetQohiYSERENRR98AEQT4oxkGTjppMLVJ1UoFML7778fH0Q+ZcqUaElJ\nSc4Rv9/97neTrqy//vrr9nTBUFu3bpW2bNkSz7iZNWtWRJKknPWaP39+xAyGAoC//OUvnokTJyqC\nIOiSJGlWq1WRZblPI0FjsZikKIpVVVVR13VBFEVNluU+H9Gq6zoikYh18+bNVjUh1XTSpEl5tcfr\n9eqjR49Wv/76awkA3nnnHZuiKLCm6fSUqU02m00RUjq1vPXWW9YdO3bET86ZZ54ZKi8vz2v0t9mm\nWCwma5omZjpPjz32mFPTjOwrh8OhX3DBBWnDxLLpTptUVcUVV1xRGj3wj/Cee+7pqKioKIoR7QyG\nIiIiori2x/+E2Pb0PeXtJxwD1xkzB7hGVGz8/uSgp9Twp8bGwtavP4lizwOQink7USzMQAZdNzri\npYZGZSpmmFS2wlCywa26On3Yk/lYXQ3kcR2IiIiIiIiIiGjIcziMayaHHJLf9rGYEQ6VLjQqU6BU\ndEjdb21oEATAbjfOv92eXNIt6+m2NhvQ1tYZ7mOWxPlgsNCvRm6BALBli1GyqarKHSBVXn5wBv7o\nuvF/R67Ap337BvZu3P3NZjPOv/k3YE7X1BiBUJMmAf1880IiIiIiSiEIxncWh8P4DN9bitK1T0m+\nAVOp6wKB3teHiPJjsRgBz+ajWbozn22dIBgBRYGAce0jn8dAADgwromo31gs+Yc55Zp2OPK/ztXR\nEcWqVbvj84cfrnU73JGIiKi/Wa1G2NKECcnLdd24qXlqYNTmzcCuXQNbx4YGo7z3XvJyhwM4/PDO\noCizjB9vrCMiIqLi9M47yfPTp2NQfZ/euHGjrChKfH7atGlKls0Ri8XEaDRqLS8vt9TU1KC+vh4A\nsGHDBsfevXsdkiSp1dXV8VHFn332WVKc9PTp0/PqhTZt2rSYLMuIxWJmPW1+v9+WuI0sy1GPx+NP\ne4BuCIVCdp/P547FYmmjrxNfn95QVVX0+XyeUCjk0HVdMF87k8vlcjQ2Nsoej8fvcDiyBiaVlpZq\nACQACIfDwhdffCFPnjw5HmKVq02CIOgOhyPo8Xj8kiRpAPDEE08k9X75wQ9+kLNHWGqb0m1jnieH\nwxH+29/+Fj+Hxx57bNTr9eY9wrcnbfr1r3/tWrt2rQUAZs+eHbnssstC+T5foTEYioiIiAAAscYW\ntP769+lXCgKG3fljpKZj0sGnvT056Ck1/KmY7srkdgNjxgCjRyc/jhxpDG7pTlCSJPFuDAPNHORk\ntwOVlb0/nq4bHXK6GyaVKYDK3+tLCAcXj6dzsGK60KfaWmOwDRERERERERER9T1ZNgbO5jt4VteN\nga75hkg1NR0818tkuXcBTL0JcLJYBkc4kfn3kS4wKnF6377iGBjZ2GiUzz7LvI0ZFJQtPGrEiOLq\npO/zdQ14Shf6FInkPlaxkCRg+PCugU+pIVBlZYPj3xoRERER9R+rFaioMEpvqWpy/5OeBkyZ87zp\nGQ0USerbUKX+3newXBdJpetGwHp3wqSCwe5tG846JIwGK7u9dwFOidPsV0dERNR9gtB5/X/OnOR1\nfr9xY5HUwKgtWwb2d5FQCFi3ziipdR89ujMoasKEzunKysH5uZiIiIgMug6sXJm8bO7cwtQlk02b\nNiWF7NTV1cVSt4lEIha/3++ORqNWTdPio2pHjx4dD4b66quvoGkaJElKPX5Svs24ceO6HD9VOBy2\n+v3+surqauzZswcAsCXNneBisZiltbW1TElJbrrkkktK1qxZY62vr5cikYhQUlKi1dTUqNOnT1fO\nPPPMyBlnnBEBAF3X0draWhoOh/Pu4dPe3i6ef/75pWvXrrU2NDSIqqoKZWVl2qhRo9Tjjz9eOffc\nc0MnnXRSl/CrcDhsbWtrK0t8/RwpHYvC4XC8TeFwOFRaWtqWaYx/KBRKWrFx40Z58uTJsXzbpOu6\nEAwGXeFw2FFWVtYaCASir7/+enyfQw89VD355JOzJmKla1M6Zpv8fn9o/fr18b+HSZMmRQFAVVW8\n9NJL9meeecaxYcMGS0NDg+RwOPTq6mr1hBNOUM4999zw8ccf7+hum/bs2aPefvvtHgCw2+36o48+\n2p5t/8GGwVBEREQEAGj55ePQ/ekDOz0XnwHbUeMGuEY00HQdaG1NDnpKDX9qL6KPuiUlRtBTuvCn\n0aMP3jt4U3qCALhcRhk+vPfH0zSj8013wqSylVDRZA93ZbUawU6pYU+J0yUlha4lERERERERERHl\nSxCM6zklJUBdXX77hMOZQ6PSBUq1tPR8sKvV2r8BTNmWy+yBkfT3ceSRmbeLxYzApVwBUsXwu0Qk\nAnzzjVGyKSvLHBplTldWGoNv+0s4bNwBO1fgk8/Xf3UohMrK3IFP/f3aExEREdHBSZI6vyP1lnnT\ns2yBUvkGTHV0GN/LDgaCYNzwTxSTp4tlXpKM0JeBDlni96O+IQidr21ZWf88h6oafcu6EybV3QCq\nYgj3HgguV+8CnBIDoCyW3M9HREREheF2A8cdZ5REqmqMqUkNjNq82fitc6Doeuf4nhUrkteVlXWG\nRCWWww7j75hERESDwcaNQEND8rJ58wpTl0y++uqrpCuDo0ePVlO3URTFGolE7KnLR4wYEZ8OhUJo\nbGzEyJEjk7b55ptvko4/ZsyYLsdPFIlErK2treW6rgsjR46MB0Pt3LkTsixHdV0XVVVNOmYsFrMm\nzj/77LPOxPmmpiaxqalJXL9+veWxxx5zHXnkkbGHHnqo7eijj3ana5ckSaogCLqqqpKu60kjkjs6\nOoQ//elPSQFF+/btE/ft2yd+8sknlt/85jeuadOmKY8//nj7UUcdFUttU+J+FRUVOoD4sl27dsXX\nhUIhh6ZpQnl5eWtqOJSqqti9e3fSa7Bt2zZZ13W0tLSUdadNmqaJLS0t5c8++2wgnJBIv3jx4qAo\nZs57ytQmQRB0SZJi6c7Txo0bHYnPUVtbq3711VfSxRdfXPrxxx8nncNIJCK0tbXJX375pfzUU085\np06digcffBC1tbV5t+mKK66IBYNBAQB+/vOf+w8//PCsf3uDDT/OExEREaKffwXfc39Nu070uFB+\nww8HuEbUH3TdGFCTGPSUGv5UTHdtr6joDHpKDX0aPRooLS1wBemgJoqdnTj6QiyWHCCVT5hUtgCq\nvrpbiSAYQVrpwp7Mx6oq4/UgIiIiIiIiIqKDl91uhIcn9MXISlWNcCgzNKqlxRgslSusyW7ntahi\nIcudwTxTpmTeLhBIDi8yA6MS5/fuBaJd7q03+LS2GmXjxszbyLJxzTVXgFTqtedYzOg8mBrwlBr6\ntH9//7ZxoJWU5A58Gj7cGIBLRERERFTsEm96VlPTu2PputF3JF1olN9vrB8swUi9nSca6iTJCC9w\nu/vn+LoOKEr3w6S6E0DVV33ZUglCchhTb8Kc3G4GphERER3sJAkYO9Yop5+evK65Gfjyy66BUV9/\nPbAhm62twOrVRklksRg3/Bk71gGbbQJqa/0YNiyIESNE1NUZY2/4/YmIiKj/vfNO8vyYMUaA42DS\n0dGRGlaU96eZ0pQBvf40g5U7OjqSenYNGzYs4/E1TRNaW1vLzJCfkoQ7MESjUXi93ma73Y5YLCb6\nfD5PKBRypjuOIAgoKyvTXC6X7vP5xLa2tqQ2btq0ST7llFOG/eIXv8DixYvjy51OZ9Dj8fgkSdIA\nQNd1hMNhO4BSJAQ4iaKIsrIyzel06u3t7WLqa/iPf/zDOn369GFPP/1027nnnhtJbBNgBBp5vd6O\nmpqacGVlZXVTU5N4YD8oigLrgU4vkUjE7vf7XR6PJ5B4/I8++sji8/m6BFb5/f4uQVeZ2tTe3u7V\nNE06sEz4/e9/H7/aKEkSrrjiimC61xboep4S22S328NmkFXqedqf0onJ5/OJs2bNqkgMufJ6vbrH\n49Gam5ulSMJFxDVr1uD000/HsmXLcNxxx+Vs0//93/8Jq1atsgDAhAkTYjfeeGMRjaQ3MBiKiIjo\nYKfrCNz5WMZbb5f99FLIlf10qyLqU5pmdPrPFPq0Y4dxZ6hiUVXVNfApMQSqvzoyEA1Gsmz84NJX\ngWfRaPeCpHw+Y7BdaujTyJEcUENERERERERERH1PkoDKSqPQwc3lAsaNM0ommmYEHqUGRqVOD+Td\nmnsqFgN27zZKNm63cX3W5QLq643fhwZyYEF/czjShz0lBj7V1BjtJyIiIiKi7hOEzoBlfvcmomwE\nAbDZjFJe3j/PoapdA6RyBU05HLnDnFwuBhwQERHRwBg2zCjf+U7y8kgE2Lq1a2DU5s3GZ5uBEo0C\nX3wBfPGFBcD4+PKbbzYerVagutoow4d3nU589Hr5GYuIiKinUoOh5s0bfO+rgUAgKbjJ4XBk3FYQ\nBN1isUQPFMXtdtsAxMOZgsGuWUKBQCCpxQ6HI/3AdgA+n8+taZqYsq2QsF6w2+26LMtaWVlZuyRJ\nqt/v9wBATU0Nvve97+Gss85qmTZtmlJSUhJ/nsbGRvHVV1+13Xvvve4vvvhCBoBYLIalS5eiqqoK\np556Kjwej8/j8SSFBwmCAIfDEbZYLMHDDjvM9b3vfQ8zZ87EhAkTUFlZGfR6vT4A2Llzp/jnP//Z\nfu+997p37dolHXgthMWLF5eVlpYGJ06cGG+TJEnqsGHDms1Qozlz5kSWLVvmAICWlha89NJL4Qsv\nvDAe7uT3+z0ulysoimK8PXfffXeXkdY+n0/0+/1JJy9Hm5T9+/cPU1VVWr9+PT7//PP4NieffHKk\ntrY2Y6+k1POU2iZT6nnq6OhIOs7999/vjh64M+B5550Xuummm/yTJ0+OAYCiKHjttdfsS5cuLfvy\nyy8BAM3Nzbjyyiu1f/7znx2SJMVfj9Q2NTY2Srfddlt83aOPPtpmLcIBsQyGIiIiOsh5125BdE36\nWxNbDq1FyQ/PG+AaUSaqagxgMIOeUkOfduww7sxULEaMyBz6dMghgDNtPi8R9QWLxeio01+ddYiI\niIiIiIiIiIgGiih2Bokdc0zm7SIRI0QpV4BUMdxkw+837jxdbGTZCHRKDX1KnS8pGXydH4mIiIiI\niIiof0hSZ5gTERER0VBiswGTJhklka4bv0mlC4zas2fg66kowK5dRsnFZssdHmWu83j4ew8RUTHT\ndSAcNvon+P1G34zRowtdq+LV3AysW5e8bN68wtQlm3A4nDRvtVq7BDc5HI6w3W6PyLIcExLe7O12\nuyXbsQ4sS/p0kCmgR1VVMRgMJt0uzG63KwBs5nwwGBQAxOvn8Xj8kUjEdsopp1jPO+88SJIEl8tl\nLSkpiSQep6qqSrviiitCixcvDl199dUlTz31lBMANE3Dz3/+c8yePVupqalJClBKdN111/lvueWW\ncFtbW4W5LBAIuFwul1+SJP2QQw7RlixZErz88stDixYtKl2+fLndfD1+/OMfO99++22IopGjVFJS\n0pYYoHTdddf5zWAoALj99tttEydOjB599NEWANB1XfD5fO6SkhIfANx9992uv/71r/HgqIT6WHRd\nj7/WB4K7MrZJlmWtpKSkraWlpeKFF15IWveDH/wgY6RpuvOU2qZU5nkKBAJJJ98MhVq6dKnvzjvv\nTKqr1WrFvHnzLEcddRQWLVqEzz77DADw1Vdfiffee6/rtttu69I2s01XXXVVRWtrKwDg4osvxokn\nnhjLVLfBjMFQREREBzEhGsPwP72XcX3FHf8fBKsl43rqW+ZdoBMDnxKnd+0ytikGomh04k8MfUoM\nfxo1yrggTERERERERERERERENBBsts7fKTLRdaC9vTMkKlOAVEMDoGXswnTwEQSjg39iuFO6wKdh\nw4zfkIiIiIiIiIiIiIiIiA5WggDU1holNRCio8O4OUhqYNTWrcCBsfIFFYl03tg+F4cjd3iUOe12\n93/diYiGslgMCAQ6Q5z8/q7z3Snmvon9IubMAVauLFwbi93f/mb0STE5ncD06YWrTyZ2e3LGkKIo\nXWIeZVlW0+0biSTlL3U51oFlSUFTiqLA4XB02S4UCjlSg40URUna1+l0Js0LggCPx+OLRqMVCcdx\ner1en5AmrdJqteLxxx9v37lzp3PlgT/u5uZmPPfcc9GbbropXRMBGMFSAJRAIKBEo1ErYAQ2hUIh\nh9vtDprbeb1e/aWXXmqdOnVq5caNG2UA2Lx5M5YvX47TTz8dFotFORB2FTd16tTY5ZdfHnzyySed\nAODz+YRzzjnH8sMf/hALFizAmDFjEAgEnJ988knk4Ycfdr388st2AHC73brf74830uVyJeUIeTye\ntK9BIrvdrsRiMeXll1+OBzZVV1frCxYsiGTaJ915Sm1TKvM82Wy2itR1U6dOjd5xxx1dQp50XUco\nFHK63W489NBDmDlzJmIHBtv/7//+r+uWW27xi2k6JC1fvlx45ZVXAABVVVW44YYbkHqeigWDoYiI\niA5iw976FNbmjrTrHDO/Def87wxwjYpXLAb4fMYXXp8vc0m3vqPDGESwe3fxDCKQJCPcyRxAkRr+\nVFsLWJgpRkRERERERERERERERUQQgNJSo0ycmHm7WMwIh0oXHpU435H+Z7iiUl6eO/Cpupq/CxER\nEREREREREREREfWW1wtMmWKURLEY8M03XQOjvvgCaG0tTF1zCYUBZ4Q+AAAgAElEQVSA7duNkovL\nlTs8ynx0Ovu75kRE/UfXjZC9noQ0ZSvhcP/X3d8lqoW6IzVUa+ZMwGpNv20huVyupBHOoVAo731D\noVBS8pAzzZu2y+VKCnMKhUKCw+HQU7cLh8NJqVJOpzMYDoeTEqQ8Hk+X/Ww2myJJkqqqqgQAmqaJ\niqJYbDZb2ojNWCxmvemmm7Ay4QQtX77cki0YKrFO7e3t8bMYDoftqYFDDocDd955Z8eCBQvKzWVv\nv/02Tj/9dDidzrThRA8//HD7jh07pJUrV9oOHBcPPvggHnzwQXMTEUA8VGn48OHa9ddf71uyZEmJ\nuaykpCR+LiRJUm02W9awJtMbb7wR6+joiLfpggsu0GQ5cyRRuvOUz/PYbDbF4/FoB9oSd+2116YN\neFIUxappmggAY8aMwSmnnKK/8cYbAgA0NDSIGzZskCdPnhxL3Ke9vV340Y9+FH9NbrvtNpSUlKQ9\nT8WAwVBEREQHKbnNj2Fv/CP9SlFExS9+hFwJoMVMVdOHNPUk2MnnG5gvzwPJYjFCnsygp9TwpxEj\ngCyf54mIiIiIiIiIiIiIiIYsWTbCkUaOzL6d358cGpVueu9eozP/QHO5ugY8pc7X1Bh3cyYiIiIi\nIiIiIiIiIqLCkWVg3DijnHlm53JdB5qbjYCo1NCo7duN9cUgEAC+/toouXg8mUOjUh/t9tzHIyLK\nRFW7hjLlE9KUK9xJVQvdsp5hMFTPRaPAu+8mL5s3ryBVycnr9SZ9emhpaema0pNBe3t70rZutzvd\n8ZOCp/bv3y+Wl5cn/avQNE1QFCUpNstut0fa2triSVMWiwX2NG/0giDAarVGQqFQfNtwOGzPFAwV\nDodt48ePR11dHbZt2wYAWLt2bV6RXXa7PdLe3h6fVxTFpmmaIIpi0mv43e9+N+J2u3W/3y8cOH58\n/wzHxYoVK1qWLl3qefDBB12pgVuJTjzxROWZZ55pe//995PqXFZWFp+2Wq2RfLMC/vCHP8RvCycI\nAhYuXCilaxOQ+Tzl8zyCIKCsrEwBkHQS582blzbAKhwO2xLnZ8yYEX3jjTfiz/3JJ59YUoOhfvaz\nn3n37NkjAcCcOXNw9tlnA8h8ngY7DucnIiI6SFX/+QNIkbSfZeG99GzYJhw2wDXKTtM6v/z2JLgp\ndX2w6PI8+5bdnhz0lBr+NHw4kCZYlYiIiIiIiIiIiIiIiPLkdgPjxxslE00zOuybgVGZAqT278/v\nOa3W5HCndIFPI0YYd5wmIiIiIiIiIiIiIiKi4iUIQGWlUU46KXldKARs3doZFLVhQxT//GcA+/a5\nEAxa0h+wCJjjww5kN2Tl9eYOjzKLzZb7eEQ0OOk6oCg9C2nKVkKhQrdscGEwVM/FYkAkJS7H5SpM\nXXI57LDDkkKaduzYIeW7786dO+Pb2u12VFVVddlmzJgxXY4/bty4pGXRaDQpA0eSJFWSJG337t3x\n448ePTrjLdisVquSGAwVi8UyfvCJRqMWABg7dmw8GCoSiaC1tVUoKyvLGhwkSZImSZKqqmq8XrFY\nTLZarUkD961WK0aPHq19/vnnEgDs378/3qZMx5ZlGXfffbdvyZIlgWXLltlXrVrl3L17t8Xn86Gi\nogLjx49X/+3f/q1t3rx5iiiKePbZZ5NGg0+aNCnp9cjWDtPmzZuljz76KP5aTZ8+HYceemjaNgGZ\nz1M+zwUA48aNiyAhGMpms6Gmpibt/uZ5Mo0ZMyYKIB4M1dzcnNT+Tz75RH7iiSecAOBwOPS77rpL\nA5D1PA12DIYiIiI6CEXXb0HZR5+nXSeWuFH+88t7/Ry6bnxJ7m54U6Z1gUCvq3RQcbmSg55Sw5+q\nqowLwERERERERERERERERFQ4omj8blNVBRx7bObtwmGgvj45QCoSMTqqJwY+VVTwNyAiIiIiIiIi\nIiIiIqKDncMBHH20UQCgoyOEVaveAwAoiogJE2YhGPRg3z6goQFdHs1pn6+Ajeiljg6jbNmSe9vS\n0uzhUeZ0VZVxoxYi6j5dN373DgRyl+4GPMUyRsRQX2EwVM85HMB3vgOsWtW5bOVK4KyzClenTCZO\nnJgUlrNt27a882i2b98e37aurg6iKHbZZuLEiUn/Wrds2SLPmzcvKbgoFoslPacsy7FQKIR9+/bF\ng30OP/zwjP/qLRZL0rrU4yVSVVUGjCCrRIFAIGcwlFm3xGCoaDSaNnAo8fihUAiyLOf1v1ZNTY22\nZMmS4DXXXBNtbm4eZi6XJAnV1dXx123Dhg3x4CSLxZIUDJX6emTy2GOPORPnL7rooqxtSnee8nke\n06hRo6JlZWVobW0FYARDZWKeJ5PT6Ux6rnA4nNRT6ptvvpF13Th9uq5j4cKFqX+M5QAynt/XXnvN\nfuihh8aTzS655JLgHXfcUdD/BRkMRUREdJDRdR3+XzyWcb189eX4prUUvp3dD29KXO/3G1/WqX94\nvclBT6nhT+Xl7PRPREREREREREREREQ0VNjtwKGHGoWIiIiIiIiIiIiIiIiop6xWDYccosPrzb1t\nMJgcFJUuPMp8DAT6v+79pa3NKJs35962vDx9aFTqY1UVIHMUPxUZXQdCofRBTfkEOmXbLxgENK3Q\nLaSeYjBU78yb1zUYSlUBScq8TyFMmjQpZrVaoShG5tA//vGPvOIQv/nmG6m+vj4evnPEEUek3e7Y\nY49NChj6+OOPLddcc03SNqmBQ5IkqR999JE1lpAAN2nSpIwhRJIkqYnzqqpKuq5DSBlwrWkazFCn\npqampHVVVVV5/W8limLSc2UKoWpqaoq/NuXl5V3qmEu2Nqmqir///e/xVKVvf/vbSUFU+TxXNBrF\n888/Hw+GKikpwWmnnZa1TenOU77tMbefOHEiPvzwQwCAz+eDoiiwpiRwJp4nkxkmZaqoqMh4vsLh\nsLB9+/bUxV1TyxL4/X7B7/fHnzPx/BUKP1IS9aG3/v+V0J9bVuhqEBFlZYGC0cpXaddti43GGf95\nDmL/OcCVoi7Ky5ODnlLDn0pLC1s/IiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIhq6nM78b17i93cN\njEoXKLVvnxE8U6xaWoyyaVP27QQBqKjIHh7l9QJWK2CxGMWcTn20WAZfeAgVjqYZIUu9CWnKVIJB\nIxyKhgabDXC7uxaXK/3ybMXlKnRritvcucDSpZ3zLS3AunXAt75VuDql43A4MGPGjMjKlSttAPDJ\nJ59Y2tvbhZKSkqz/MyxfvtyWOD9v3ry0240bN04dN25cbOvWrTIAvPvuuzZN0yCKnbk7mqYlhfCI\noqi++eabScc/66yzwpnqIopil5AgVVVFWZaTlpvPoygK/vWvf8WX19TUaKnhRJmkhiGl1h0Adu7c\nKe7cuTOeSjVq1KgugVK5ZGvT22+/bd27d2/8eS+++OKc+6Z65ZVXbA0NDfFjnHPOOfFwqXRtSre8\nJ206+eST48FQuq7j008/tZ5wwglKtucBgHXr1iV9Kho7dmzGoLChgsFQNKj5/X50dHQUuhp58+1o\nxDHKF4WuBhFRj/134FrE+PGgzwiCfuCLr36gpJ/2eHSUl+sYNUrHIYdoGDVKg8eT/dhF9PZIRER9\nJJByC5XUeSIiIhqc+B5ORERUfILBYJf5YvrNkoiI6GDF7+BERETFh+/fRERExYnv4URERMVnoN6/\nKyuNMmlS5m103QioaWwU0dgoJBQRDQ0CmpoENDSIBx4FRCJC5oMNYroONDcb5fPPe388UdTjYVGy\nrCeFRlks+oHlgNVqbJc43Rk8pR9YbuzTOW3Mpz++nhRclW6duTw5zKpzXkwbKTG0qaoRshQMCgcC\nl4SkaSOISTiw3JxOt6zr+lCoOP9NUGaCoMPlAlwu/UAxxp6ayxKnjXlj2unsnE5cbh7DYunberL7\nVM+VlgJjxzqxbZsIQTD+Db/zjo5jj829r56S1haLxbJGBWqaJqXOq6oqSpKUMyAIAM4+++ywGQwV\nCoWE3//+944f//jHwWz7PPnkk05z2mazYc6cORm3PfPMM8P33nuvGwB27dol/fWvf7WdeeaZEXO9\nrutJ7xqxWEx/9tln49FkI0aM0KZPnx7NdHxBECAIgq7revw/y8Tp1Od58cUXkz4XzZ49O5K6bZbn\nSjo56Z7nvvvuS4pVO+mkk7rsl8fzpG2TqqpYunSp11xWXV2tnXbaaWLCfrr595bNE0884Uycv/DC\nC+PT6dp0YHnSeepJm04//XT9tttuE8y/8T/+8Y+O1GCo1OfRdV1/+eWXHea8zWbDrFmzkvZZuHBh\neOHChfXmvM/nc/l8vvjrZLfbQ+Xl5W0p9akxpy+88MLQ888/n7S+0Jj8QIPamjVrsG/fvkJXI29N\nTU2FrgIRUY+9q0zH+9Hpha5GwdntMTgcRkmcTiyZlqeut9nUbl+4MtPwiYiIclmzZk2hq0BEREQ9\nwPdwIiKi4rNx48ZCV4GIiIh6gN/BiYiIig/fv4mIiIoT38OJiIiKz2B6//Z6jVJX13WdrgPBoIy2\nNhva2uxoa7OhtdWG9nYbWlvtB5Z3lhxZGUVN0wREIkAkAgDFFQwkijpkWYMkaZDlxOnEef3AvNZl\nPnmdnrRv1+NosFgy7Z/puTXouoBwWEIkIqc8SgiHMy8Lh+X4vPFobKcoQ/dv8WAnyyocDhV2e+xA\n6TptjDHtXJ64fbp1VquKPLJbMorFgPZ2o9Dgdcgh4/H554dCkkTIsgVvvaXjP/4jY75RXCwWS5pv\nbW0tz7Z9OBxOmvf7/aWBQMDv9Xp9+dTz0ksvDd1xxx2e5uZmEQD++7//23PxxReHysvL0wb/PPPM\nM/a1a9fGY8guvPBCuFyudJsCAH70ox8FHn74YXfEeEPD9ddf750/f36T1WoF0DWI6P7777fW19fH\nR2pfc801fjHDwO1gMAin05kuREkEoCZuq+u68OWXX+KXv/xl0jG+//3vZwzBMo9vShMMlVSxN998\n0/rwww+7zXlZlnHOOed0O0TJfK7UNv30pz91/vOf/4y/9vfcc4/farV6E/fJddzdu3eL77zzjt2c\nP/roo9VJkybF38RS25SwPOk8mc91yCGHVO3atStx//rUfU0jR47UzzzzTOHVV18FAPzud79zXHPN\nNf7x48erCfsnPc9TTz2F7du3x49/9tlnhxLPSTq5zlMxYDAUERERIapL+O/AtYWuRo/YbN0Lb+pc\nrnZZZ7PFDsoEciIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiKiwUQQAJcrBpcrhpEjA1m31XUgELDk\nCI/qnFdVDiIbKJomHAhKYlgSDazOwCYjjMkcX5o5wCkGm03tEuZkzttsMVgs3c5zIQIAHH10E5Yv\nPxSapgEANm0SsW8fMHx4gSuWwuv16j//+c/9//mf/+kFgIaGBvGMM84of/3111tSw6FWrFhhvfba\na0vNeafTif/4j//IevwxY8ZoV1xxReDhhx92AcCmTZvkhQsXlr344outdrs9KQjo5Zdfxt133x0P\nLaqpqdGuu+66jB8I7rzzTvdnn31mufzyyzF9+nRIkvG+kxoupGkaXnjhBduSJUvQ0dERXz5//vzI\nvHnzlEzHv/rqq0sURRGuvfbawIknnhhNEzgkAEA0GsVDDz3kvPHGG0ui0c7wr0suuQSHHnpo1sCm\nP//5z7ZQKCSce+65Ybvdnrgqvs/+/ftx3XXXeZYtW2Yzly1YsCC8cOHC6P79+9Puk8kTTzzhTAwf\nW7x4cQRAPGkp9bXLtLwnYVcA9Ouvvx4rVqyAoigIBALC/PnzK1599dWWo446Kpb6PMuWLcPtt98e\nn7fb7bj11ltzBp5lOk/FhMFQREREhGfD38PX6ugBeS6rtfMLc7rgplzBTonr7fYYJF4PIiIiIiIi\nIiIiIiIiIiIiIiIiIiIiIiIiIiI6aAkC4HZH4XZHUVvrz7qtpgF+vwXt7Xa0tqYPjjICpuxob7dC\n0xgiRdSfLBYVdrsRvJQc4JQY3JQ5zCl53pi2WlWI/KdLg0hdXRucziiCQQt0XYMgiFi1SsSFF2o9\nOt4bb7yB//qv/+qy3O9Pfg/80Y9+BLvd7gLgSFz+y1/+smPRokXhdMf+yU9+Eli5cqVtxYoVNgBY\nvXq1ta6urnrRokXBCRMmxPx+v/D+++/b3nzzTZuuG5k7giDgkUce8VVVV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klSNoDsuhYg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Xgv2h6dwemk7toe7UDprO7aHu3B4qH37WawxiUQkKzn0L6PXyfVCm2/vVem8rAKhUKkU7ICAg\nXxRFPQDvCn2FISEhjhrWEMsf6/V6xYFWVlZWr2Co8pAnq9WqmF/Tc6ocDFVNLXV+Ifzxxx+q8vvJ\nAWDkyJFi69atxRqm1FqbUI865LmC0AHA4Erd39V3vbqQJOmUIAivAvi2QvefBUEIlCQpvylqoMbH\nYChq1kwmU63hLER0YzEajY1+Xli4cKEc1jBp0iSEhYXVOuf111+H2WyW21988QXGjLk8LNPX1xcb\nNmxA165dce7cOQDA3Llz8dRTTzXqL89SUlLw5ptvyu2HHnoIixYtqjGQSRAEREdHIzo6Gt7e3lV+\nX+12Oz788EO5rdfrsWXLFnTr1q3KNZ988kk4nU4899xzANzBTCtXrqw2oCU3N1cRRBQUFIRt27ah\nZcuqw5LefPNNmM1mzJ07FwCwfft2HDhwACNHjqxyfNeuXbFixQpMmDCh1tCIgQMHYufOnejZsydy\nc3MBAMuXL8fs2bM9Cv7whCRJ+P7jz+W2FgLuNlT9XAHgiKMEya5Lyb0j/Vrj3Z63w0dngMrkddn4\nIUOGYM2aNRgwYIB8TK9cuRJTp06tdh8VjxGtVtvor6/33nsPouj+/KRSqfDjjz9i0KBBl43r1q0b\nNm7ciJtuuklOK3733Xdx77331jv1uLLly5fLoSUA8Mgjj1QZklRRTEwM/vOf/8jt1157DbNmzap1\nX/fcc0+tY0JDQ/Hyyy+jb9++uPnmmxEZGSk/1ylTpih+4V7Xn4vD4cDKlSvldqtWrbBx48bLgnQq\nrr9p0yZ07txZPletXbsWX375pUe/XLgSmtt5tqLGvBaFhoZi9uzZeO655+DldfnruiJfX1+sW7cO\nI0aMwK5duwAAZ86cwebNm/HII49UOedKn2cBoEOHDpg+fTr69u2Lvn37ol27dvK2AwcOyMFQgiDU\n+fu2efNmxMTEyO0hQ4Zg2bJll/1CC3B/f1atWoXBgwfLcz7++GM899xztb7Wq/K///1PDoUbOXIk\nbr31Vrz99tvydh8fH4+ez5U8lr29vRXnSL1e32Sfn15++WX5fD1v3jzMnDlTPseq1WqP6igPlgLc\nx8fq1avRt2/fasfPnz8f6enp2LhxIwDg1KlTSEhIwIABA+pUe15eHl577TUA7mT5zz//XA5fAq7c\n93Hp0qWK9jPPPFPrfkaOHInu3bvj2LFjyMnJwfr162u8rhMR0bWhus/gRERE1HyUlir/QqmXlxev\n30RERNcgfgYnIiK69vD6TUREdG3iNZyIiOja09jXb0mSYDt4AuZ1O2Be/ytcWRcatJ7gZYT3HbfC\nNG4YjMP7Q2Wo/o9pExFdc0KCgFuUf1RdtNjgSE6DPTEF9oQU97+JKXCmZTdJSVJuIRy5hXDsjVf0\nq1uFQNclArouEfB77B5ow1s3ST3XG/PuOAgSgIv3gQkGHYwDbqryHrnKKt9fq9FoXEaj0VWxz+l0\nilqt1ulJLTabTbGgl5eXRwFIgiAogpYkSRIkSYLBYFDMt9vtMBqNVa5ROXzJZrMptntaS2WLFi1S\n3AT78MMPu6obW53GDIYCMNm9hOyQJElHG7BeXX0PYA6A8r+GqQIwEsCKamdQs8ZgKCK6LhUVFeHg\nwYNITExEUVERRFGEl5cXWrVqhcjISPTo0aNBQRdHjx7FkSNHkJmZCaPRiIiICAwfPrzWQAdPxcbG\nIjExEdnZ2ZAkCYMHD8bAgQNrnON0OrF//36cOnUK58+fh0ajQWhoKAYOHIiIiIh61eFyuXD8+HEk\nJCQgOzsbpaWlMJlMCA4Oxs0334wuXbrUa91yoiji999/x8mTJ5Gfn4+WLVuiY8eOGDx4sEdvZhtD\nfn4+Fi9eLLcfe+yxWueUlJTgq6++ktv9+vXDpEmTqh0fEBCAN998E08//TQA4Ny5c1i2bBn+9re/\nNaBypZdeekm+UaVDhw748ssvawyF8tTOnTuRkZEhtx999NFqQ6HKPf3005g3bx5Onz4NAPjwww+r\nDYZatWqV4gabV199tdqwknJvvvkmFi5ciOLiYgDAnDlzqg0sGTt2bI1rVda6dWu89NJLeP311+W+\njRs34plnnqnTOtXZ8sx0JOedl9vDdYEIUlWfUn/MaVa0H5D8kTv9Y+TP/hq+j4yF3+MToAlVhp30\n69cPffr0wcGDBwEAcXFxjVJ7fSQnJ8vhHQAwYcIE3HrrrdWO79ixI55//nnMnj0bABAfH48dO3Zg\nxIgRjVJPxdctAI9eg08//bQcbDVo0CC8//77jVILAISEhMjhO43t9OnTKCwslNsPP/xwtaFQ5Xx8\nfPDQQw/ho48+AgAUFxfjzJkzDT7X10dzPM9eKZGRkZg2bZrH4zUaDT744ANFwNqGDRuqDYa60udZ\nAIiOjm7U10ZF33//vaI9Z86cGt8jqNVqzJ49G0OHDgXgfk+4cOFCxXndEzk5OXjxxRcBuIOD/vvf\n/+KHH36oY/XX77H8zTffKEKzHn74YcycObPO65RfqwDIwWK1eeqppxTXlri4uDoHQ7344ovIyckB\nAMycORORkZF1ml8fGRkZ2Lp1q9y++eab0bNnT4/mPvroo3j55ZcBAJ9++imDoYiIiIiIiIiIiIiI\niIiIiIiIiIiIiOiqkyQJtriTMK/bgdJ1O+E8e772STUQvAzwHjUI3uOGw2vEAKiMDIMiohuHyqiH\n/qbO0N/UWdEvmstgT06D/WSK/OVITIEzs2EBfJ5yZefAkp0Dy84D8Jl4R5Ps83pk+S1W0Tb0v6lB\noYcmk0kRWmS1WoXqxl5Wi8WiGFt5reqoVCqxcp8oiipvb2/FfIvFIhiNxirXdLlcihvfrVarYruP\nj0+dw5hKSkqENWvWyDdqt2rVCsOGDfP4+3GpNlFx06IKwmXP1xOCO8mr8s2e39VnrfqSJEkUBOFX\nAPdV6I5qyhqocTEYioiuK2fOnMGMGTOwZs2ay1IiK9Lr9Rg6dChmzJiBIUOGXLY9NTVVEaa0c+dO\n3H777di2bRumTZuGw4cPXzbHZDLhqaeewr///e9qkyzLfffdd3j00UfltiS536d88cUX+PDDD3Hm\nzBnF+MmTJ1cbDHXhwgW8/fbbWLJkiSIEpKLevXvjgw8+wKhRo2qsC3AHGKxevRqrVq3Cb7/9JodC\nVKVt27Z46aWX8Mwzz9Q5aOvrr7/Gv/71L2RlZV22LSwsDNOmTcPzzz9fpzXrY+nSpfKxEhYW5lGw\nwObNmxXHV3WhRxU99NBDeOmll2CxWAAAa9asabSQh/T0dKxfv15uv/nmm7Ueg57auXOnoj1hwoRa\n56hUKkyYMEEO90lOTsbRo0fRo0ePRlnfZDLhzjvvxPLly+U18vPzERgYWOtcT4wcOVIRIFIecNVQ\nBZ8txjfffqvou98QWuOcQkkZ0Nte7f65ioUlKPx0MQr/uxymu0fA/6mJ0PfoJI/r1KmTHLaRn5/f\nGOXXy5o1axRtT14rU6dOlY+d8jUaIxgqNTVVDjEBgP79+6N79+41ztmzZ48iWGvWrFmXpSs3V3l5\neYq2p6EnnTp1UrSv1vHT3M6zzc2AAQPg7e0tBz7VdJ5qjufZuqhYf1hYGPr371/rnCFDhqBly5Y4\nf979H5VWrVpV52Cov//97/LrqCHBQdfjsXz+/Hm88sorANyhWV988UW916p4rmqq89TWrVvxv//9\nDwDQtWtXTJs2DZmZmXVaoz6+/fZbOWgQQJ3CnSZMmCAHQx09ehSHDh1Cnz59Gr1GIiIiIiIiIiIi\nIiIiIiIiIiIiIiIioppIkgT7kSSY1+2Aed1OONOzG7SeYNTDa+RAmMYNh9fIAVB5N849cURE1wuV\nyQuG3tEw9I5W9LuKzXAkpl4KjEp0/+s6n1fNSg2kVkMX2e7KrH2dk5xOWPYcUvR5DenboDX9/PwU\nAUr5+fke3/haWFioCEDy9fX1KABJpVJBrVa7KoY7uVwudeX5eXl5qsDAQFdVa4iiqAiGKi4ulp+H\nVquFwWDwpBSFJUuWGEpKSuTnf//99wOAuvoZVatcmwaCs7qxtRgKILxC2w5gST3XaoiMSu2Qq1AD\nNRJV7UOIiK4NO3bsQI8ePbBs2bIaQ6EAwGazYevWrdi6davH63/yyScYPXp0laFQAGA2mzF37lz0\n69cPOTk5dard6XTi7rvvxtNPP31ZKFRNfvrpJ0RGRmL+/PnVhkIBwOHDhzF69Gi89NJLta65atUq\nTJkyBT/99FONoVAAkJGRgRdffBHDhg3z+Dm7XC5MmjQJU6dOrTIUCgDOnj2LF154ARMnTlTcQH8l\nLFly6b3U2LFjPQp92bhxo6I9evToWuf4+PgoQqe2bdt2WZJpfX3zzTfy98nLywv33HNPo6wLACkp\nKYr2TTfd5NG8yuMqBldVt763tzc6duxY5/WdTic2b97s0TxPmEwmRbs8eKUhir5ejfS3PscmW67c\n10qlx21afwCAoNch9IcPEDz3FWg7tpXH+AnKDM8yqdJnIYcT5hU/4+zwx5B1z99RunUvJFFU1Nyi\nRYsG119fFV8rBoOhyiC+yiIjIxXBfBs2bGiUWr755hs5hA/wLJDjyy+/lB+3b98et912W6PU0hQq\nB/h4ehxXHne1jp/mdp5tbgRBgLe3t9yu6efbHM+znrJYLHK4U+WaalNx7KFDh3D27FmP527cuBFL\nly4FAHTr1g3Tpk3zeG5Va1V0PRzLzz33HAoKCgAAb7zxhsfHVFUqnqua4jxVWlqKJ598EoD7dbRg\nwQJotdpaZjWcJEn4tkI4pJeXFx588EGP57dr104RBLV48eJGrY+IiIiIiIiIiIiIiIiIiIiIiIiI\niIioOpIkwXY0GXnvLkB6v0k4O3IqCj9bUu9QKMGgg/ddQ9Fy4VsIP7Eeod+8A9O4YQyFIiKqA7Wv\nCYZbusP3r2MQ/N4LaL1yHsKPrUV40ka0Xv85gj98Gb6P3QPDrb2hCvJr8P60HcIg6HWNUPmNR7I5\nIJUp7w1TBfg2aM0OHTooQovS09M9DkKqPDYyMrLKEKeqqNVqxX4dDocmPDxcMT8tLa3aWpxOp+Km\n6YyMDDnvpn379vUKYvr222+9yh8LgoBJkyZBkiTB6XR6/D1xOp1qSZLkgAFBECQV4PH3pZIpldo/\nSZJ0hRLbauSo1L7yN9HRFaOpfQgRUfN34cIF3HPPPSgrK5P7Bg0ahGHDhqFdu3bQ6XQoKSlBWloa\nDh8+jN9//x12u93j9bdv3473338foigiKCgIEydORPfu3SGKIuLj4/Hjjz/KwUzHjh3D6NGjsXfv\nXo+TKV955RWsXbsWANC9e3eMGTMG4eHhsNvtSEhIgF6vv2zOkiVL8Mgjj8DluvS+on///hg1ahTa\ntm0Lh8OBo0ePYsWKFcjPzwcAzJs3DxqNBnPmzPGorsDAQAwePBi9e/dGixYtYDQakZeXh9jYWKxf\nvx4WiwUAsHfvXkycOBHbtm2DSlVz5uBzzz2HZcuWyW2tVosxY8Zg8ODB8PHxQUpKCn788UckJydj\nxYoViI6OrmG1hsnLy0NMTIzcHj58uEfz4uPj5cdt2rRB27Ztaxh9yaBBg7Bz504A7nCypKSkOoVc\nVOeXX36RH99yyy2XBRs1RHnwQ7mAgACP5lUeFxcXV+v6/v7+HtdV1foPPfSQx/NrUjkMKzQ0tEHr\nFS/dhNzX5mGDPRdluBR0dq++BVSCAGjUaPnNv+E96lYAgO9fx6Bs2z4U/ncF+vy6S7HWPnshummq\n/vladh+CZfchuDqGYc/xX+V+T8KYrpQjR47Ij2+++WbodJ598B80aJD8c0hLS0NxcTF8fev/QVcU\nRXz33Xdy29vbGxMnTqx1XsXX1u233+5RcFxzERUVhaCgIOTluT8vbt++HS+++GKt87Zv3y4/bt26\ndYMCXxqiuZ1nm5vS0lJFIGNN56nmeJ71VH2vQVWNjY+PR1hYWK3zSkpK8PTTTwNonOCg6+1YXrdu\nHVauXAnAHZr16quvNmi9QYMGye+B9+zZA5vNVuX73ooqnqcA1Cm0b+bMmUhNTQXgDggcPHhw3Qqu\np23btsn7BYAJEybU+bo2fPhwHDrk/usAGzZswEcffdSYJRIRERERERERERERERERERERERERERHJ\nJEmC/cRpmNftROm6HXCc8fyPNVdF0OvgNaI/vMcNh/eoQVCZvGqfREREdaYO8IVxYE8YB/ZU9Dtz\nCuBITIH9ZIWvxBSIhSUerauLCr8C1d4YVN5G6Pt0hXX/pfttLb8fgveoQfVes0ePHooQpdOnT3uc\nG5OSkiIHJvn7+0tt2rQRaxpfkVarddjtdvnmL7vdruvWrZut4pikpCTNyJEjLwtxcLlcKpfLJe/b\narXi/PnzcihBVFRUnYOhjh8/rt6/f7984/LgwYPl+/fsdrtOo9FYPFnHbrcrbn7WQHDW535iQRBM\nACZU6v6uzgs1jso3neZUOYquCQyGIqLrwvz581FUVAQAMBgMWLNmDe64445qxxcXF2PZsmXQaDw7\nDZaHQt1555344YcfEBgYqNj+zjvv4IEHHsCvv/4KADh8+DDee+89vPPOOx6t/8knn0Cj0WD+/PmY\nOnVqreEjCQkJePzxx+VQqNDQUPzwww8YMWLEZWPfe+89TJ48GRs2bAAAzJ07F3fddReGDh1a7fpD\nhw7Fq6++ilGjRlUbhpCTk4O//e1v+OmnnwAAO3fuxKJFi/Doo49Wu+62bdvwxRdfyO327dtj7dq1\n6NWrl2Lc22+/jX/961+YNWuWx9/D+vjll18gipfer3oSLCCKIhITE+V2ZGSkx/urHLBy4sSJBoc8\nOJ1OHD58WG6XryeKItavX4/vv/8ecXFxyMrKgpeXF1q1aoXbbrsNd9xxh0chN0ajMmndYrHAx8en\n1nnloWHlTpw4Uev6lec0xvr1sXr1akV74MCB9V7LvGY7cv4xGwDwo/W83K8CcJ+hJaBSoeUXb8qh\nUAAgqFTwHnUrvEfdiuD4RAy4czRistMAAAstmbhTH4w26upD52bH70K+1f1hXCUIeGHK3zyuNzY2\nFn/5y18QFxeH3NxcaLVaBAYGokuXLhg6dCgefPBBhIeHe7RWdna2HJgHNPy1MmDAAI/nV7Z161Zk\nZGTI7YkTJ9Z6HGdmZiIrK0tul7+2bDYbfvzxRyxevBjHjx/H+fPn4evri7CwMAwdOhSTJk1C//79\n611rY1GpVHjmmWfkc+imTZuwceNG3HXXXdXOWb9+PTZt2iS3X3nllasShtXczrNVWbx4Mb755huc\nPHkShYWFMJlMCA4ORu/evTFs2DA8+OCDDQozq82aNWsgSZLcruk81RzPs56q6hrkqarqr+n4Lzd9\n+nT5fDF16lTceuuttcyo3tU4ln/++Wfs2bMHx44dQ35+PgwGA4KCgtCjRw8MHToUDz/8MFq0aOH5\nk6igqKgIzzzzDIDGCc0C3IGh5cFQeXl5eOONN2oMME1JSVFsHzt2LKKiojza1/79+/Hpp58CAFq2\nbInZs2c3oPK6+frrrxXtqVOn1nmNIUOGYO7cuQCApKQkpKamenxNJiIiIiIiIiIiIiIiIiIiIiIi\nIiIiIvKELeEMStftgHndTjhOpTdsMa0GXsP7wzRuGLzvGAyVj3fjFElERHWmCQmAJiQAxsF95D5J\nkuA6n1chLOoM7ImpsJ9MgWQuU8zXRXdo6pKvK15D+yqDoXYfgiSKEFSqGmZVLzAwUAoLC3OdPXtW\nDQAHDhzQ1TYHcN8fGx8fL4+Njo521GW/BoPBVlpaaipv2+12fe/evc0Vx8TExGjL70GryGq16iu2\njx49anc6nXIt3bt3r3Mw1IIFCxRvLiZNmiQ/ttlsei8vL49uSLTZbIradIJgrWstF90LoGJN5wBs\nqedaDTW4UjujylF0TajfmYKIqJnZsWOH/Pipp56qMRQKAHx9ffHEE0/gscce82h9URTRu3dvrF69\n+rJQKMB9c/n69evRpUsXnKNgFwAAIABJREFUuW/OnDnIyfE8PPGzzz7D448/7lEIx7PPPouyMveb\nan9/f+zatavKUCgACAwMxOrVq3HLLbcAcL9RnzlzZrVrlwdc3XXXXTXe7B8SEoJVq1YpAhM+++yz\nGut+9dVX5cdGoxGbN2++LBQKADQaDd5//308+eSTiuCmxhYTEyM/btWqlUdBCdnZ2bBaL72fa9eu\nncf7qzz2zJkzHs+tTmJioiL8IiwsDKmpqbj99ttx9913Y82aNUhJSYHNZkNBQQFOnDiBBQsW4O67\n78b06dNx4cKFGtcPCQlRtFNSUjyqq/JzO336dK3rFxQUyAFvjbV+XZ09exZLly6V28HBwRg2bFi9\n1ir9eQ/OP/MOIIpIcpYi3nkpOXmQ1h9t1AaEfPIaTOOqX1/fMwqLft2KoAD3eSdfcuDewngst55D\nsXjpM44oSTjqKMGzxQn4xnopzOhVY3u0eOx9XPjHB7CfrP1nd/z4cWzcuBGZmZmw2Wwwm81IT0/H\n1q1bMWPGDERGRmLKlCmKwKfqVP4ZXc3XyldffaVoexLIERcXp2iHhYUhPj4effv2xV//+lds2bIF\nGRkZsNvtyM3NRVxcHD755BMMGDAA48ePR35+foNqbgyvv/46+vXrB8B97r/nnnswc+ZMpKcrfzGf\nkpKC6dOnY8KES0HEY8aMwd///vcmrbdcczvPVmXbtm3YvXs3cnJy4HA4UFBQgOTkZKxYsQJPP/00\n2rVrh1mzZl2Ra5jL5cJHH32k6Lv//vurHd/czrN14e/vrwjx9PQaBNSv/r1792L+/PkAGic46Goc\nyzExMdi2bRvOnTsHu92O4uJipKSkYP369Xj55ZfRvn17vPzyy7DZbLUvVsm0adPkwLzHH3+8QaFZ\n5UaMGIEXXnhBbn/44Yd44IEHcOjQIUX4WUFBARYsWID+/fsjNzcXgDs8a8GCBR7tx+FwYOrUqfJr\nct68eQgICGhw/Z7Iy8uTw68AICoqyqMw0soqv2eu+D6WiIiIiIiIiIhuPJIkwX4qHdYDRyFW+p8x\niYiIiIiIiIiIiIiIiOrCnpSK/A+/Rfrgv+LskMko+GhR/UOhNGp4jRyAFp//P3v3HRXF9fYB/Dvs\nsixlKQIqgqJijQ0FW9TYEDViR8QSexJLNMb4M8ZYEltsiV1jj2LBrokNNZrYK2rE3ijSRKQtZeu8\nf/Ay7uCWWbrm+ZzjOXtn773z7DIzu+De7/6Aqg/+gNv2BZD160yhUIQQUgYxDANxRRfYtGsKx9FB\nKL9sKjyO/4Zqz0+gyq19qLhrMZx/HAtZ/y6QtjD9hffEMOtPfHltTdIbKB8Ubu2jv78/t0AsMjJS\n9PjxY5GpMWfOnJHornf79NNPzQpAkkgkSgsLC27RpEajEVWuXFlUs2ZNbsHz33//baVvXWVWVpaN\nbvvcuXOsbrtHjx5m1aJUKrFr1y7rvLaTkxOrmy+Rk5Mj1Wq1JkMbtFotk5OTI9XdZgUL8xff5RqW\nr72DZVmzA68Ki2GYtgC88m3+q6TrIEWHgqEIIR+EhIQE7natWrWKZR/Lly+HVCo1eL9MJuMFNSiV\nSmzbtk3Q3N7e3vjyyy8F9Q0PD8fZs2e59s8//4yaNWsaHWNpackLbbpw4QIiIiL09jX2GPXNO2fO\nHK5969YtJCYm6u17/fp1XtDKxIkTUbduXaPzL1iwoFgX7YeHh3O369WrJ2hMeno6r60vKMyQ/I8l\nIyPDQE/h8oePZWRkoG3btjh//jy3zcHBAZUrV4aVFS+wFA8ePMD//vc/REVFGZzfx8eH1z59+rSg\nuvL3UygUUCqVRudnWRZ//SXsfWX+fvl/LgXBsixGjRrFha4BucE6EomgoFyerH9uIGHEDECtAQDs\nyeGfF0HSinBZOAn2wV1NzlWrVi1cvHyJC/h5zarwg/wpfN5cQcvkq2j75joaJV9G77Q7CFMmAwAq\nWEiwTFYbn9t4gFUokbHjKGLaDEFc/8nI+vs6L2wjP4lEAjc3N1SuXBnW1ta8+zQaDbZu3YomTZrg\nyZMnRusuK+dKUlIS/vjjD6790UcfoWXLloLG6YqOjka7du14185y5crB3d39nRC9w4cPo3nz5lyA\nSmmRSqU4efIkBg0aBIZhoFQqMW/ePHh6esLZ2RnVqlVDuXLlUL16dSxYsAAqlQo2NjaYPn069u/f\nD4sCpk0XVlk5dkyxtbVF5cqVUbFixXeOgbS0NEybNg1dunThhfcVhUWLFvFeT3v06IHGjRsb7F+W\nrrPmYhgGTZq8TaG/e/euyUBDAIiLi8ODBw9420zVr1QqMWrUKO76WBTBQaV1LFtbW8Pd3R3u7u7v\nvPbn5OTg119/RcuWLc0KMD137hw2bNgAoGhCs3QtW7YM8+fP515zdu/eDR8fH8hkMlStWhUVK1aE\ns7MzRo8ejaSkJDAMg6CgIFy6dAkVK1YUtI8FCxZw1+/OnTvz0t+L2/bt23lBXCNHjizQPJUrV4aD\ngwPXvnHjRqFrI4QQQgghhBBCCCHvH/WrN0hZuQMxLQchpuUgxHYbi8iPeiBxzGxk/XMDrEZT2iUS\nQgghhBBCCCGEEEIIIYSQ94D6+Uu8+eV3xHwyFDGtPkPKos1QPYos2GRiEaw7NIfr8qmo+uBPuO1a\nDFn/LhA5yIq0ZkIIISWDYRhYelSArV8LOI4bgPKrfoBNvmAjYh7LqpUgruLG25Z9rnBrg3r37s0L\nUvrtt99sDPXNs2HDBl5SY9++fc0KY2IYBtbW1rwFk3K5XNa9e3dunpiYGNHRo0d5i9pycnIkKpWK\nW6yt0WjYXbt2cYsyK1WqpG3RooXKnFoOHjwoff36NbcItn///ll2dnbcHCzLMnK53M7UPHK53I5l\nWS5AigEgZhizw5wYhvEE0Dbf5t/NnaewGIaxBbAi3+a7LMsWLomMlCoKhiKEfBBsbN6+V7l06VKR\nz1+3bl20adPGZL+uXbuicuXKXFs3jMSYoUOHgmFMhk4CAHbu3MnddnR0FLy4vHnz5qhTpw7XPnXq\nlKBxprRp04YXOnD9+nW9/f78809e+/PPPzc5t6OjI4KCggpXoBFPnz7lblepUkXQGLlczmubE6SV\nP2Qn/1wFkZqaymsvXLgQ0dG5iewDBw5EREQEUlNTER0djYyMDBw5coQXgpWWloaFCxcarMXf3593\nbK5evdpkyMnt27dx8uTJd7brC7Xo3Lkzr/3LL78YDS0Ccs+rhw8fmpzbXHPmzEFYWBjX9vX1xfjx\n482eJ/vKv0gY8j2gzP39QclqcVjxNsjEiRGj/5xpcBjRW/CctWvXxtWrVxESEoLy5csDAFgASawK\nsVoFsvE2PbejpBwOODRCgJXru7WduYr4fpPwst0wpO86BlahBMMwaNu2LVauXIn79+8jKysLcXFx\niI6ORmZmJiIiIjBt2jTIZG//GPvixQt8+umnSE5ONlhzWTlXtm3bBpXq7e+DQq+Z+c+tadOmITU1\nFRYWFvj666/x/PlzJCcn4+XLl0hNTcXOnTt51/+nT58iODgYmlJegOHg4IDt27fjypUr8Pb25ra/\nefMGkZGRSElJ4bbVr18fZ86cwZw5c94JOipJZeXYyU8ikSAoKAi7du1CdHQ05HI5oqOjER8fD7lc\njvPnz2Pw4MG8a+apU6cwePBgk9c1oc6cOYMZM2ZwbXt7e6xYkf93dL6ydJ0tCN361Wo1li5danLM\nkiVLkD9V3FT9c+fO5cKkiio4qKSOZZFIhG7dumHjxo14+vQpMjMz8fLlS7x8+RKZmZm4ceMGxo0b\nxws6vHXrFnr27MkLLDIkJycHn3/+OXfcLFu2DI6OjoIfiykMw+D777/H06dP0adPH257ZmYmoqKi\nkJiYyO3b2dkZv//+O3bv3s29Hpry4MEDzJs3D0Du87pmzZoiq12ITZs2cbctLS0xZMiQAs+V/3WG\nEEIIIYQQQgghhPw3sGo1Mk9eQsLQaYhq1AdvZv8G1bOYt/dnKyDfdwrxgd8g2icIyfM3QKlzPyGE\nEEIIIYQQQgghhBBCCCEAIHmVCtcjV+D141akdPoSKQs2QfmggBkBIhGs2zWF69LvUPXeYVTavQT2\nA7tB5EhhUIQQQog+Nm354VrZ524War6uXbsq6tatywUYrVu3zvbJkyciQ/3/+ecfy8OHD3ML3Pz9\n/RV169bVuwD22bNnIoZh3PL+tWrVyjnvPjs7OznDMNwCRaVSKRk5ciQva2Dq1Kn2SqUSAKBWqy3S\n0tJ4i9HWr1+vio+P57Juxo4dK7ew4EffxMXFuen+y8nJkejev2nTJl4Q1pdffpklk8l4iwjlcrmd\nQqHgjdOlUCgk+cOjGEBrqL8JQ3OHc26yLBtRwLlya2GY5QzDVDKjvwuAPwA0zHfXrMLUQUofBUMR\nQj4ITZo04W5v374dc+bMQWZmZpHNnz9UwRCGYeDv78+1w8PD3wkm0Ofjjz8WXMv58+e52506dTIr\nvKN58+bc7atXrwoeZ4xYLIaLiwvXjo2N1dvv2rVr3O2aNWuiWrVqgubv0qVL4Qo0QKlUIiEhgWtX\nqiTsfVFODj/8VDdkwRTdN7UATAYsCZE/KCIvAGf27NnYsWMHLwTK0tIS3bp1w+XLl+Hr+/YXiLi4\nOKxbt07v/F5eXujevTvXfv78OT7//HODYTcJCQkYMGCA3tARfY+3Q4cOaNSoEde+dOkSpk2bpndu\nAHj06BG++OILQXObY+fOnfjxxx+5toODA0JDQyEWi82aJ+f2Q8QP+B/YrLfHySllMlLYt+Gwwa3a\no/zXn5k1b1xcHAYOHIhhw4bh1atXRvv+pXwDv5SbWJYZBRWr//qjvP8cSRN+RlSTfljfvi/+OnAY\nX331FerWrQuR6O3vfQzDoF69epg3bx7Cw8NRq1Yt7r6nT59i5syZBusoK+eKbiCHRCIRHMhh6Nza\nsmULli1bxruG2djYYMCAAbh69Sq8vLy47efPn8eePXsKXHtRUCgUmD59Ovz8/HD79m2jfSMiItCy\nZUv0798fSUlJJVThu8rKsZPfy5cvsXv3bgQHB/PCWYDcGlu3bo2QkBAcO3aMF1h54MAB7Nu3r9D7\nv3//PgIDA3nX302bNsHT09PouLJynS2osWPH8n6uS5YswZEjRwz2P3DgAJYvX/7OdmP1R0REYMGC\nBQByg4PWrl1biIrfKqlj+cqVKzhy5AhGjhwJLy8vXjiZSCSCj48PVq1ahYsXL/LClC5fvmwyWAwA\nfvrpJzx+/BhA7vuy4OBgwY9DqG3btqFVq1Y4cOCA0X7JyckYOnQomjZtilu3bpmcl2VZjBo1igvA\nmjlzJqpXr14kNQtx7do13L17l2sHBASgQoUKBZ7P3d2du50XBEoIIYQQQgghhBBCPlyqyDgkz9+A\nqMb9kDDoO2QeOw+ojX8hhTr2FVKXbkNMi4GI/XQM0kP+gCa96L5EgRBCCCGEEEIIIYQQQgghhLx/\n1AmvkT75V9T8YSMqHLoA65cFXDNiYQHrT3zg+sv/UPXeIVTa+yvsBwdAVM6haAsmhBBCPkDWn/CD\noRR3n0DzOqXA84lEIsyZMyc9r52VlcX06NGjXGRk5DsZMuHh4eIBAwaUy8s8sLCwwLx589Lz9xO4\nX62dnR3vwyiOjo52w4cP5xZS379/XxwUFOSUkpIiff36tYtGo+EWLh8+fJhdtGgRt9DOzc1NO2nS\nJLNCIaKjoy3OnDnDLcDz8fFReXt7q6VSqUIikSh0+yYnJzvL5XJbrVbLLbrTarVMRkaGbXJysrNu\nXwb8ZCehmNwFffkXL/9egKnymwDgOcMwBxmGGcQwTFUD+6/MMMz/ANwF0CHf3YdYlj1YBLWQUkTB\nUISQD8IXX3zBWwQ/c+ZMVKxYEUFBQVi3bh3u37+vN6hGqAYNGhSor1wux8uXL02OqVGjhuD579y5\nw93WDf0RQnchuqm6tFotzpw5gwkTJuCTTz6Bu7s7ZDIZLCwswDAM759uGFRqaqre+R4+fMjdrl+/\nvuCazXnuzZGens47JmQyYWnkUqmU185LLBUiL5Qgj7W1teCxQusBcoPGpk+fbnCMTCbDhg0beAFA\n69evN3iOLFmyBPb29lx7x44d+Pjjj3Hw4EG8fv0aKpUKUVFRWL16NZo0acL9rO3seCGpBp/jVatW\n8QKYFixYgC5duuDkyZNITU2FQqHA48ePsWDBAjRv3hyJiYmwtLTkPXahPz99jh07hmHDhnGP38rK\nCgcOHOAF/AihuP8M8UHfgpVn8bbvzUnktcf9ttSsecPDw9GwYUPs2rULGo0G1tbWmDx5Mq5cuYK0\ntDQolUrExMRg6/JV8HarAgDIhharsmPwefp9KAyEQwGA5tUbWKzcjSjvvkia8guUzwyHTNSoUQPH\njx+Hra0tt23Dhg28gDVdZeFcuXz5Mh48eMC1e/bsyQuyM0bfuRUcHGw0WMrNzQ2bN2/mbRMSulJc\n3rx5g1atWmHevHnIyMgNOu7Xrx/CwsKQlJQEpVKJpKQkhIWFoV+/fgByQ1T27NkDX19fREVFlUrd\nZeHY0cfV1VVQvy5durxzHMyePbtQ+46MjIS/vz9SUt7+oWf+/PkIDAwUNL60r7OFUbFiRfz0009c\nW61Wo1evXhg3bhxu3LiBzMxMZGZm4vr16xg9ejT69esHrVb7Tr2G6tdqtRg1ahQX/jZr1izB4ZWm\nlNSxLPTY9PX1xaFDh3jvmRcsWMA9dn3u3LmDJUuWAMgNwVuzZo2gfQmV9/wPHToUkZGRAICmTZti\nx44diImJgVKpRFpaGq5cuYLJkydzz8ONGzfQsmVLnDhxwuj8a9aswaVLlwDkvqf89ttvi7R+U3TD\nCQFg1KhRhZpP972VoffchBBCCCGEEEIIIeT9ps1RIGP/KcT1+RrRTfsjdek2aBJeF2iunOsRSJq0\nGFH1eiJx9Gxk/X0drIEvfyGEEEIIIYQQQgghhBBCCCEfHlapQuqaUES3HATFwb/AFGR5JcNA2roJ\nXBZ/C8+IQ6i0fxnsh/SAyNmxyOslhBBCPmRS33qwsOGvEcs+H16oOfv27asYNWoUt6j54cOH4nr1\n6pUfPny4w7Jly2wWL15sGxgY6NiiRQvX+Ph4Lltm9uzZ6b6+vmr9s5pmZ2cnt7Ky4i2Amzx5srhR\no0Zc+/Dhw9KPPvrIad68eaIdO3ZgzZo1CAwMxNixY5m8dXZWVlbYuXPnG3PXgW7YsMFGo/MZmGHD\nhnHPgZOTU6pIJOJ9QCY9Pd0+MTGxwqtXr1xfvXrlmpCQUDEjI8Net49IJNIwgOEF2ca1BqC7KF0J\nYGcB58rPCkAvANsBvGAYJo1hmIcMw1xlGCacYZhYANEAFgGomG/seQADi6gOUoooGIoQ8kFo0aIF\nfv75Z942uVyOvXv3YvTo0ahXrx4qVKiAAQMG4NChQ0YXwOtTvnx5wX3zL87XDXEwRDd0x5jMzExe\nUMCPP/74TkiTsX+LFi0SVNe5c+fQoEEDdOzYEStXrsT58+cRFxcHuVxuMmArJydH73bd/RXm+Swq\n2dnZvLa+EBh98ocdGXq8QvaZf66C0Bd0MWHCBF7ogz7Vq1dH06ZNuXZCQgLu37+vt2/NmjURGhoK\nGxsbbtu1a9fQp08fuLq6QiKRoGrVqvjqq68QHx8PAJgxYwZq167N9bewsDB4nLdu3Rrr1q3jBVWF\nhYWhc+fOcHJyglQqRe3atfH9998jLS0NAPDbb7/xAoqcnJyMPl5Dzpw5g759+3LXBEtLS+zbtw8d\nOuQPRDVO+Swa8YHfQJvCD8iN1eTgkuptcEPLli3NCnRLTk5GQEAAkpOTAQDOzs64evUqFi9ejObN\nm8Pe3h6Wlpbw8PDAkAnjcCPmOb4cMZIbf0GVil8yI03uh81WIH3LIcS0HIz4z75H9sVbes/16tWr\nY9y4cVxbpVIZDOUoC+fKxo0beW1zAjn0nVsTJ040Oe6TTz5BkyZNuPb169eRnl6g4ORCGzhwIG7e\nvAkAYBgG27dvx549e+Dv7w8XFxdYWlrCxcUF/v7+2LNnD0JCQrhrR3R0NIKCgqAphQUiZeHYKaz+\n/fujWbNmXDsiIoILvTFXbGwsOnbsyAthnDp1Kr7//nvBc5TmdbYoTJkyBSNGjODaGo0Ga9asQdOm\nTWFnZwc7Ozs0a9YM69at40Kh1q5dy5vDUP0rVqzA1atXARR9cFBZPJZbtmzJBcEBuQFyFy9e1NtX\no9Fg5MiRUKtz/8Y3c+bMIgvNyrNw4UJeeNKYMWNw+fJlDBw4EB4eHrC0tIS9vT2aN2+OxYsX48qV\nK3B2zg1iVygUCA4ONhh2GhMTw50nDMNg/fr1sLS0LNL6jcnMzERoaCjX9vDwQJcuXQo1p+57says\nLCM9CSGEEEIIIYQQQsj7RhHxFElTlyKqQW+8Gj270B/808XmKCHffwrx/SYhqkkQkuetN/plIYQQ\nQgghhBBCCCGEEEIIIeT9l/X3dcS0G47kWavBys387DHDQNqyEVwWfAPPuwfhfnA5HIb1gti19NYV\nEEIIIe87xlIMactGvG1Z528Wet61a9em9e/fn1uMlpWVxfz+++8233zzjcOUKVPs9+/fb523hpph\nGEyaNEn+ww8/ZBZmnwzDoFy5cm+kUim3X2tra/z+++9o0KAB1y8hIQGrVq3ClClTMG/ePFy+fJm7\nz87Ojt26dWtKu3btzAp90Gq1CAkJ4RZZ2djYsJ999hlXh0gk0jo7OyeLxWJe8BXLsoxarRar1Wpx\n/jnFYrG6XDmn18ZX5hs1LF/7T5Zl3xR8OqPsAdQG0AxAYwCV9PTRIjcoqiPLstl67ifvGQqGIoR8\nML777jucPHmSF8SgKykpCaGhoejduzfq1KmDY8eOCZ7bnKRJ3RAFIDegyhSx+J33EHqlpqaa7iSQ\nocXkhw4dgp+fn96QIBsbG7i5uaFatWrw8vLi/unWbyg4KjPz7XvEwjyfRSX/c54XemBK/nAjIcFf\nefL//PQFz5hLX9hS+/btBY3VfXMNAOHhhj9g3rVrV1y4cMHg+ZXH1tYWa9aswezZs5GRkcFtd3Z2\nNhpWNWLECISFhaFOnTpG53dxccH+/fsxYsQI3vwuLi5Gx+lz4cIF9OjRgwvqEIvF2LVrFwICAsya\nRxUdj7g+30CT9O6xsC8nkRcPO3LkyHf6GLN48WIubAsANmzY8M7PTZdIJMKaDevh7e3NbduuSMAr\nrVLYDlkWWScuIK7XBMR2+hwZ+0+BVfHPjT59+vDaur+I6Srtc0Uul2PPnj1c29PTE35+foLH56/f\nzs6OF6ZmjO45qNFocOfOHcH7LSonTpxAWFgY1x4/fjwGDRpkdMzgwYPx1Vdfce1r167h0KFDxVaj\nIaV97BQVoeeKMQkJCejQoQOeP3/ObZs4ceI7YZhClMZ1tqgwDINNmzZhxYoVKFeunNG+jRo1wsWL\nF1G9enXedn31R0VFYfr06QByAwzXr18v+D2ZEGX1WBZ6bC5dupQLlyvq0CwgN5Rq7ty5XNvb2xur\nVq3iBZjl17BhQ6xfv55rp6WlYeHChXr7jhkzhjuGR48ejRYtWhRR5cLs3buXFww4bNgwWFgU7k8w\nuuG2JRlyRQghhBBCCCGEEEKKhyZdjrTfD+Gl3yi8bD8c6ZsOQJuaYXpgYfYZ9wqpy0IQ02IQYj8d\ng/SQP6BJN/3/2YQQQgghhBBCCCGEEEIIIeT9oIqOR8Kw6YjvNwmqJ1FmjZU2bwiX+V/D898DcP9j\nFRxG9oG4gnMxVUoIIYT891i38+W1cy7dfmcNr7nEYjFCQ0NTQ0JCUurWrWtwMl9fX9WxY8eSf/nl\nlyL5cMr/h0OlOjo6puSFMJUvXx5//vknJk+ejPLly+sdJ5FIEBAQkBMeHp7Uv3//HHP3e/LkSUlU\nVBS3AK1Pnz7ZDg4OvHADsViscXV1TZLJZOkWFhbad2fJZWFhoZXJZOmurq5JYpFYf0CCCQzD2ADo\nl2/z7wWZS48vAIQCiBHYPwHAcgC1WZb9jmVZs0K3SNlVdKteCSGkDOjUqRM6deqEe/fu4cSJEzh3\n7hwuXbqE169f8/o9f/4cAQEB2LhxI0aMGGFy3uxs4WGIugFIQG6YSFGxsbHhtV1cXODg4FCguTw8\nPN7ZlpSUhOHDh3OLzsViMUaNGoXAwEA0adIETk76U709PT0RHW38W2VtbW25xfGFeT6LSv6fi9Ca\n3NzcIJVKuTAhU49bV1QU/49p+UMrCiL/HFZWVgbfLOfn6urKa+c/T/Jr3Lgxrl69irNnz+LYsWMI\nDw9HUlISxGIxPDw80LFjRwwcOBCurq5gWRaxsbG8saZ07NgREREROH78OE6cOIGIiAgkJydDKpWi\nSpUq+PTTT9GvXz/Y29vj1atXUCrfhh0JmV/X5cuX8emnn3LHl4WFBbZu3Yq+ffuaNY86PglxfSdC\nE/fqnfu0LIv9irfb7ezs0L9/f7PmDw0N5W67u7ujd+/eJsdYWFhg7Nix+OKLLwAASlaL8M87o2+8\nGpnHLwAGwtvyU9x5hFejZyN59m9w+Lwv7D/rDpGDDLVr1+b1e/Xq3ccOANWqVeO1S/pcCQ0N5QXz\nDR8+3KxAjvz7dHd3Fzze09OT1zZ1bhUH3WMHAC/wyZjx48dj5cqVXPvAgQNmnxeFVdauswUl9Fwx\n5NWrV+jQoQMeP37MbRszZgyWLl1a4JpK8jpbHMaPH4+hQ4fiwIED+Ouvv/D8+XOkpKSgXLlyqFGj\nBgIDA9GlSxeIxWJeMBygv/5vvvmGex348ssvizw4qKwey0KOzYSEBMyaNQtA8YRmAcAff/zBCyod\nO3asoOtsnz594O7uzr3POHDgAO+6lTf30aNHAeT+HAoSplZYGzdu5G4zDGN2OKQ+uu9Xiys8lRBC\nCCGEEEIIIYQUL5ZlkXP5DtJ3HEXmn2fBZisKNI+4qjvsB3WDpHZVZOw/jczj5wGleZ/lyrkegZzr\nEXg9bTlsu7WFLLiQ8kSYAAAgAElEQVQrrNs0AWMkvJ0QQgghhBBCCCGEEEIIIYSUTdpsBVJX7UTq\niu1gcwR+wTwAq6b1YdezA+y6t4W4krA1aYQQQggpGOvWPry2Vp6FnJv3Yd2iYaHnHjx4cM7gwYNz\nbt++Lb59+7ZlbGyshUgkgru7u6Z58+aqWrVqaYTO5eXlpWFZNl5IXxsbmxwbG5sctVotUiqVEo1G\nYzFjxgzmhx9+0F69ehUvXrxgExMTRTKZTFu5cmVt+/btFS4uLiYXOleqVEnv/rt06aIUUhvDMJDJ\nZJl2dnaZKpXKUqVSWWo0GgsAEIlEWktLS5WlpaWKYRgAQIFSoQCwLJsFwL6Aw03NvQHABgBgGMYZ\nQF0AngBcAdgC0ABIAfAawC2WZZ8XRx2k9FEwFCHkg1SvXj3Uq1cP3377LViWxd27d3H48GFs3rwZ\nkZGRAHI/dDthwgQEBASYDNIxJ8whKSmJ1zYUplQQjo6OEIlE0Ghy33tNnjwZ3333XZHNv3nzZqSm\npgLIDQE4cuQIOnfubHJc3hhjnJycuGCowjyfRUUmk8HW1pYLhBC6HwsLC9SuXRt37twBADx9+lTw\nPp89e8Zrf/TRR4LHGlKhQgU4OzsjOTkZACCVSgWPlUgkvHZecIUp7du3R/v27Y32efbsGS/Uq1mz\nZoLmFolECAgIQEBAgNF+//77L68tdH4AuH79Orp06YKMjNxQW4ZhsHnzZgwcOFDwHACgTkpBXN9v\noI6M03v/BVUq4rRvP8wfHBxsVlBcWloaLxjEx8fHSG8+X19+avCTnHRU3LoMymcxSFu/Dxmhx8Bm\nCft5a+Je4c1Pa5Gy5HfYDwqAdGh33v26oR66KlWqBEdHR+76UNLnyqZNm7jbFhYWgkIAje3TnHMr\nf1+h51ZRyrtGAYC9vT1q1qwpaFzNmjVhb2/PXa/v3btXLPUZU9auswVlbW3Naxs6V/RJTk6Gn58f\nHjx4wG0bOXIkVq9eXei6SuI6W5zs7e0xbNgwDBs2zGg/IfU/f/727xx//PEHTp48aXTON2/e8Nrt\n2rXjhSXdunULMpmMa5fVY1nIsZmQkMBtF4lEGDx4sMl5dQMhr169iho1anDtTp06Ye3atbz+utcp\n4N3XLmN8fHy4/cXFxSE1NRWOjo7c/bo/28zMTJOvoWo1Pwx/xYoV2L59O9eePn26yWNO16NHj3Dx\n4kWu3bFjR1StWlXweEN030O7ubkVej5CCCGEEEIIIYQQUnLUicnI2H0CGTuPQvVM6Jf48TFSCWy7\nt8v9/5qPvZH3wTTbrm2gSUmH/NBfyAg9DkX4AxMz8bE5Ssj3n4J8/ymIKpWHLKgzZMFdIPGqUqA6\nCSGEEEIIIYQQQgghhBBCSMlhWRZZx8/j9YxVUEcLym+AomI5lBvRB879usDSo0IxV0gIIYSQPGJX\nJ0g+8oLy/tu1Y9nnbxZJMFQeb29vtbe3t9p0z6IlFos1YrE4W3ebkIyC4sYwDCQSiUoikZj3jWtl\nDMuyyQAu/P8/8h9DwVCEkA8ewzBo2LAhGjZsiO+++w5DhgzB7t27AeQuFD948CC+/PJLo3PcvXtX\n8P4iIiK427a2tnB3dy9Y4XowDIPatWvj/v37AICXL18W2dwA8Ndff3G3O3XqJOgN1+vXr7kAEWNq\n167NhdzoPkemmNPXXFWrVuVCT8x5Lhs1asSFGbx8+RIvX76Eh4eHyXGXLl3ibltZWaFWrVpmVqyf\nt7c397NLT0+HWq3mBVUYIpfLeW1nZ+ciqQcAzpw5w2v7+fkV2dz552cYBh07dhQ07tatW+jcuTN3\nzDIMg/Xr12Po0KFm7V+TmoH4fpOgehJlsM9+OwWgc2qMGjXKrH3oBmsBMCtUytbWltfOzs79XUri\nVRmuC79Buakjkb71MNI27ocmMVnQnGxmNtLW78WDdTt4211cXAyOadiwIc6dOwcAuHnzJlQqFSwt\nLU3uS/dcqVKlCuztzQvLvXfvHq5cucK1/f39UblyZbPmkMlk8PLy4sJZ8gfCGJO/b1GeW0LpHj/m\nHDtA7vGTd47kHTslraxdZwsiMTGR1zZ2ruhKSUmBn58f773HkCFDsH79em6RT0ko6HW2rNCtv1q1\navDy8jLaXzfUSCjd8D4AXHCnrrJ4LJt7bKpUqneCqkzJycnhjalfv/47fYr6dU43GEpXenq6oPeq\nulJSUpCSksK1hYSg6tq4cSOvbe57AEN0j1NPT88imZMQQgghhBBCCCGEFB9WrUbWX1eRvuMIsk5e\nBvT8DVEISYOasB/cHXZ9/SBykOntI3Kyh8Pw3nAY3hvKRy9yQ6j2hAn+f6A8mrhXSF0WgtRlIZA2\nrQ/ZgK6w7dkBInvz/q+BEEIIIYQQQgghhBBCCCGEFD/l02i8/n4Zsv++Lqi/RirBq+4t8aZjE7Tr\n5AdLM9frEEIIIaTwbNo15QdD/XMD+N/wUqyIEFLWWZR2AYQQUpIkEgnWrl3LC1bIC1ky5uTJk4Lm\nZ1mW17dJkyYQiUTmF2pE+/btudtnz54t0rl1F5s3atRI0Jj8AUCGNG/enLv95MkTvHjxQtC4EydO\nCOpXELohBU+ePBE87tNPP+W1hRwfGRkZvKCajh07QiqVCt6nMd27d+dusyyLf//9V9C458+f89rV\nq1cvknoAYPv27dzt2rVro23btkU2t1arxc6dO7l2p06dULVqVZPj7t69i06dOvGCHlavXm12WINW\nnoX44MlQ3ntqsE9WIy+ceh3NtevXr887B4RwcnLitRMSEgSPjY/nJ/znDyYSOdnDaeJn8Azfi/Kr\nfoCknvHAFF03FPxwDHcVA9bAQgbdcyU7Oxvnz583Of+zZ89414eAgADBteXZtGkTrz1y5Eiz5wD4\n51ZMTAySk4Utnrh16xavXZTnllC6x09ycjLUamEBzyqVivc4SyPUCih719mCuHCBH7xcrVo1k2PS\n0tLg7++P27dvc9sGDBiALVu2wMKi5H51K+h1tqx49uwZLl++zLU///zzUqulLB7LBTk2i0Nxvs6V\nJpVKhW3btnFtZ2dn9OrVq9DzZmdn84JMGzRoUOg5CSGEEEIIIYQQQkjxUL2IRfK89YjyDkTC4KnI\nOn7B7FAoC3s72A/vDY/TG1H5zGY4jOhtMBQqP0ntanCeOQaet/eh4q7FsO3ZAZCY/uKO/HKuRyBp\n0mJE1euJxNGzkfX3dYP/J0QIIYQQQgghhBBCCCGEEEJKjlaeheSf1iDmk6GCQ6GsenfEk7kjkNy5\nKVhx0a53JIQQQohw1m18eG1VZCxU0fEGehNCCAVDEUL+g5ycnODq6sq1VSqVyTH379/HxYsXTfY7\nceIEoqPfhsH07NmzYEUaERwczN2+d+8eTp8+XWRzsyzL3c7JyRE0Zvny5YL66QasAMDGjRtNjklL\nS8OePXsEzV8QTZs25W4/fPhQ0LEA5IY8WFlZce0NGzaYHLNjxw5kZ2dz7d69e5tRqXF9+/blhZ0J\nec60Wi0uXbrEta2srNCqVasiqefo0aO8AKBx48YVybx51q5di6ioKK791VdfmRzz4MED+Pn58QJv\nli9fjjFjxpi1b21WDuIHToHipuFAOUnDWjjZsQ6USiW3rSDBRNbW1qhUqRLXvnLlCjIyMgSNzR88\nUqtWLb39GIklZP27wOPsFrjtXwqbji1Mzr0th/8LpvfJfxHdfABS1+2FVp7Fuy//cS7kXMnfx9xz\nRalUIiQkhGu7uroW+FocGBjIa+/du9fkmIyMDBw/fpxrV65cGTVq1CjQ/gtDd58KhQLnzp0TNO7v\nv//mHbuGjp3iVtaus+ZKSkpCaGgo17a2tkbr1q2NjpHL5ejatStu3LjBbQsKCkJISEiJhkIBBbvO\nliVTp07lbltbW2PEiBF6+92+fRssywr+N2vWLN74Fy9e8O53dHR8Zx9l7VhWKpVYt24db1unTp3e\n6eft7W3Wc8OyLDw9Pbnxbdu25d136NChd/aR/9p46tQpQY8hLS0NV69e5dqenp6QSCS8PhMnTjSr\n9vyBpbNmzeLdP3HiREG1AcCRI0fw6tUrrj148GDeMVBQERER0Gq1XFv3fSwhhBBCCCGEEEIIKX3a\nbAUy9p1EbO+vEd0sGKnLQqBJFPaFE7qkrRqj/NoZ8Iw4BNdFk2DVqHaBa2LEYtj6tUDFjT+h6r3D\ncFn8Lax8PjJ7HjZHCfn+U4jvNwlRjfshee46KJ9Gmx5ICCGEEEIIIYQQQgghhBBCihTLssjYG4bo\nFgORumoXoDL9JeKSBjXhfnQN7JdMgtrRrgSqJIQQQogxknpeELnw16Fl/3PDQG9CCKFgKELIByIy\nMlJw39jYWLx+/ZprV61aVdC4r7/+GgqFwuD9mZmZmDx5MteWSCQYMmSI4LqEat26Ndq0acO1R40a\nhfh485JAVSoVNHq+zVV3Qf/x48f19tG1bNkyXriQMU2bNoW3tzdv7KNHj4yOmTZtGt68eSNo/oJo\n27Ytd1upVOL27duCxslkMl7IxJUrV4yGMaWkpGD27Nlcu3z58hgwYIDRfVStWhUMw3D/jPHw8EBQ\nUBDXXr16NZ4/f250zPr165GQkMC1e/XqBWtra6NjhHj69Cm++OILru3t7W12+JIxV69exffff8+1\nAwIC3gkdy+/Jkyfo2LEjL6Th119/xYQJE8zaN6tQImHYD8i5fMdgH8s61VBpzy/YsmM7t83Kygqf\nffaZWfvK06VLF+52VlYW5s6da3JMVFQUVq9ezbUZhtEb+gGACx5hGAY2n/jCLXQxKl/YBtln3cFY\nSd7pvyYrBrfVb8OpPC2k8BHbQx0Vj+TpKxDVqC+Sf1oDdWwigNxQoa5du3L99+zZgytXrhis/fnz\n51i5ciXXbtCgATp06GDyMes6fPgw7xo/ZMgQWFqa/y3YANCqVSu0aPE2LGvu3LlISUkxOmbWrFlI\nT0/n2kOHDi3QvgtL99gBgBkzZkCtNv4Hf6VSienTp/O2de7c2WD/yMhI3nWqXbt2Ba43v7J0nVWp\nVCafO11qtRpDhw7lBbn1798fUqnU4JisrCx069YNly9f5rb16dMHO3bsgEhUst/EUZDrbFmydu1a\n7Nu3j2vPnj0bFSpUKLV6ivtY1g2QEuKrr77ihZi2a9eO9/6vJOW/vqxatQqxsbEmx/3444+8x23s\nOlUa8oefjho1qkjmvX797Tf5WFtbo1mzZkUyLyGEEEIIIYQQQggpHMW/j5H03VJENeiFV2PmIOdC\nuNlziCo4w/HrwahydRfcD62ALNAfFtaFDxvn7cNRBodhveBxYh0qXwyB4/hBEFVwNnseTXwSUpdv\nR0zLQXj56Rikb/sDmnR5kdZKCCGEEEIIIYQQQgghhBBC3qW4+wRxAePwauxcQV9QYuFkD5clk+Fx\nagOkzRqUQIWEEEIIEYKxsIB16ya8bdnnKBiKEGIYBUMRQj4INWvWxODBg3H27FlotVqD/d68eYPB\ngwdzfRiGQc+ePU3Ob2FhgZs3byIwMFBvKEhSUhJ69uyJ+/fvc9umTJkCV1fXAjwa09auXQs7u9yE\n7qioKDRt2hRHjx41Oe7p06eYN28eqlWrhqSkpHfu111Y/+TJE4wfP15vGIZKpcK8efMwadIkALnP\njxCLFy/mbmdlZaFr1674999/3+mn0Wgwc+ZMrFmzRvDcBeHj44Py5ctz7bNnzwoeO3PmTNja2nLt\nL774Qu/4lJQU9OzZkxfeNWPGDN7YojB//nxIJLlBPnK5HP7+/njw4IHevlu2bMEPP/zAtSUSCaZM\nmWJ0/unTp+Pp06dG+xw8eBBt27ZFXFwcgNxApM2bN0MsFhsdl5KSgrlz53Lj9GFZFhs3boS/vz8X\ntlKuXDmsXbvW6NyRkZHo2LEj7/lftGgRvvnmG6Pj3tm/So3EL35E9tlrBvtYVvNApX1Lcf3JQ9y7\nd4/b3qtXLzg7m//BegCYOHEi7xxYtGgR5s6dazCk5u7du/D390daWhq3bcCAAXB3d9fbv2XLlpgx\nYwZevHjBbZPUrobyv05BlVv74DRlBCxcHJGmVWOW/Bl+zYrijf+fbVWIdQJ1tOlypK7ahSjf/kgc\nPRuKO4/w888/c49Bq9UiMDAQd+/efaeW6OhodO/eHVlZWdy2+fPnm30N2LRpE69d2ECOJUuWcLdj\nY2PRpUsXvcElWq0W8+fPx9KlS7ltzs7OZh9rRaVfv36oXLky17506RKCgoIMBlslJyejT58+uHbt\n7TFerVo19O3bt9hrNaSsXGdjY2NRp04drFu3zmQwWF4Q3fHjx7ltNjY2+OmnnwyOUSgU6NmzJ86d\nO8dt69WrF0JDQ01eP4UqzutsSbh06RI2b94Mudzw4iK5XI7//e9/GDduHLetZcuWpXYO6irOY7lR\no0ZYvHixyZDQuLg4BAYGYsOGDdw2kUiEhQsXmvNQilSVKlUQGBjItVNSUuDv7897P61LpVJh5syZ\nWLZsGbdNJBKViZ9xntjYWISFhXHt5s2bo379+kUyt+4x0759e6Nhc4QQQgghhBBCCCGkeGnSMpC2\n+SBiOo7Ey44jkb75ALRpZoYjiUSw6doaFbcvgOftfXCe/iUsq3sUT8H5SGpVhfPM0fC8vQ9uoUtg\n16uD3i8MMUVxPQJJ3y5GVL2eSPzyJ2SdvQbWxBcPEUIIIYQQQgghhBBCCCGEEPNoUtKRNOUXvPQb\nhZxr767HeYeFBeyH90KVKzvhMLQnmBL+smpCCCGEmGb9iS+vnXPjHrTyLAO9CSH/dUWz0pgQQkqZ\nWq3Gjh07sGPHDlSoUAEff/wxvL29Ub58eVhbW+PNmze4ffs2Dh06hPT0dG7c6NGjUbt2bZPzT5s2\nDfPnz8eRI0dQq1Yt9O/fH/Xr1wfLsrhz5w52796N1NRUrn/jxo15wTtFrV69eggJCUH//v2hVCoR\nGxuLgIAA1KpVC35+fqhduzbs7e2Rk5OD5ORkPHjwADdu3MCjR4+Mzjty5Ej8/PPPePXqFYDcAKrT\np0+jX79+8PLygkKhwOPHj3Hw4EFEReUGxHzxxRcICwvj2sb4+flh9OjR+O233wAAL168gK+vL3r0\n6IHWrVtDJpPhxYsX2Lt3Lx4/fgwgNxDBWKBGYTAMgz59+nD1hIWFmQxIylOxYkVs3rwZwcHBYFkW\naWlp8PPzQ/fu3dG2bVvY2Njg/v37CAkJ4QWJ9OjRA2PHji3yx1K9enVs2LABQ4cOBQA8e/YMjRo1\nQq9evdCqVSvIZDLExcXhjz/+wPXr13ljR48ejRo1ahidf8mSJZg3bx7q16+PVq1aoU6dOnB0dER6\nejoiIyNx7Ngx3vFlZWWFQ4cOoXHjxiZrVygUmDFjBmbOnAkfHx+0bNkSNWvWhEwmQ2pqKp48eYIj\nR44gOjqaG+Pk5IRTp07Bw8P4B+TnzJmDmJgYri0SibBu3TqsW7fOZF15mjdrhl/t6yDz2HmDfcQe\nFeB2YBnEFZyx8YfvePeNHDlS8L7ya9CgAaZOnYr58+dz22bMmIENGzagV69eqFOnDqRSKRITE3Hu\n3DmEhYXxwvE8PDywaNEig/OnpqZi7ty5mDt3Lho1agRfX1/UqlULTk5OEIvFeI3XuPaRFU5E3oE8\nJ5s39ktrD3SxctE/sVoD+f5TkO8/BZePvTF7+JeYvik3XCY2NhY+Pj4ICgpC8+bNIRKJcOvWLezc\nuZMXCjVu3DgEBASY9XxFR0fj1KlTXPvjjz9GnTp1zJojv1atWmH27NmYOXMmAODatWuoXbs2AgMD\n0bRpU0ilUkRGRmL//v28MDaRSITdu3ejXLlyRuf/7rvvsH///ne2512H8xg6R//55x+9wV9SqRTr\n1q1Djx49uCCxgwcP4vTp0+jduzd8fHxgb2+P9PR03LhxAwcPHuSF7lhaWmL9+vVc4FxpKEvX2WfP\nnmH06NEYP348WrZsCW9vb1SrVg329vZQq9WIj4/HhQsXcObMGd45KBaLsWfPHlSpUsXg3Hv27MHp\n06d528LDw1G3bl2zajQW3lec19k8gwYNwtWrV9/ZrhukFhsba/BYNlZ/dHQ0Ro4cibFjx+KTTz6B\nr68vKleuDKlUiqSkJNy6dQvHjx/nheI1btwYR44cgagM/CdWcR7LiYmJmDJlCqZOnYqmTZuicePG\nqFGjBhwdHbn7r1y5grCwMCiVSt7Y1atXo1mzZkX/gM3wyy+/4OLFi1yw1f3799GwYUN06dIFbdq0\nQfny5ZGTk4OHDx/iwIEDePnyJW/8jBkzCn2dL0pbtmyBRmfhW2HeA+hSq9U4c+YM1y7N0D5CCCGE\nEEIIIYSQ/yqWZZFz6TbSdxxB5p9/g81Rmh6kh2U1D8gGB0AW1Bniigb+n6WEMGIxbDo2h03H5tCk\nZkB+6C9khB6H4qb+8HZD2Bwl5AdOQ37gNERurpAFdYYsuCskNQz/bZwQQgghhBBCCCGEEEIIIYQY\nx2o0SN9+BG/mb4D2TZrpAQCkzRrA5eeJsGpYq5irI4QQQkhhWH/sDcZSDFaVu/aTVamRfeVf2Pq1\nKOXKCCFlEQVDEUI+OImJiTh48CAOHjxotN+gQYOwfPlyQXN27NgRzs7O+Pbbb/H69WusXr3aYN96\n9eohLCwMUqnUrLrN1atXL5w5cwaBgYFISEgAADx+/JgLVDLFwsLinW0ymQz79u1Dly5duICWJ0+e\n8EJpdPXo0QMrV65ErVrC/1i0atUqpKSkYPfu3QAAlUqF/fv36w1GCQoKwsyZM4stGAoAPvvsMy4Y\n6p9//sHr16/h4iLsQ9hBQUFISkrCN998A5VKBa1Wi8OHD+Pw4cN6+/v7+2Pnzp16n/uiMGTIEGRk\nZGDSpElQKpVQqVTYu3cv9u7dq7e/WCzGmDFj0KFDB8H7iIiIQEREhNE+VatWxZYtW9CuXTtzygfL\nsrhx4wZu3LhhtF/Dhg0REhKChg0bmpxTk+9biTUaDZ49e2ZWXRVytJArYgzeL6rgjEr7l8HSowLk\ncjl3bAO5z4Wfn59Z+8tv3rx5YFkWCxcu5AJnoqOjsWLFCqPj6tati/379+sNDdLnzp07uHPnjsl+\nVhYifGtdBcOllQTNm3PpNoIBxLnVxdqEh2BZFiqVigvz02fIkCGCr8+6tmzZwgvlGTVqlNlz6DNj\nxgxkZ2dzP4PMzExs3boVW7du1dvf3t4eoaGh6Nixo8m5ExMTBR2ThvqoVCqDY7p27Ypdu3Zh1KhR\nXGBORkYGtm3bhm3bthkc5+joiM2bN5s8dvNee/IICYIzV1m7zqpUKpw7dw7nzp0z2bdSpUr4/fff\n0alTJ6P98l+nAPACmopScVxn88TGxpo8ltVqtdnXYF0KhQKnTp3iBcDp07t3b2zcuNFkMFtJKu5j\nWavV4urVq3rDufJzcHDAmjVrMHDgQLMeQ3GoUqUKTp48ib59+3LvYTUaDY4ePYqjR48aHGdhYYFp\n06Zh1qxZJVWqSSzLYsuWLVzb1tYWwcHBRTL3mTNn8ObNGwCAtbU1AgMDi2ReQgghhBBCCCGEEGKa\nOuE1MnafQMbOo1A9f2l6gB6MtRVsu7eD/aAASFs2AsMwRVxl4YkcZXAY1gsOw3pB+TgSGaEnkLHn\nBDSJyWbNo4lPQury7Uhdvh1WTevDPrgrbHu2h8hBVkyVE0IIIYQQQgghhBBCCCGEfHhyrt1F0vfL\noPxX2DpBUQVnOP84FnZ9O5XJ/4sihBBCCJ+FnQ2smnyEnKv/ctuyz92gYChCiF7Fs2KaEEJK2M6d\nOzFo0CBUqmQ6qKRFixY4cOAAtm/fDktLS8H7mDhxIsLCwuDt7a33fltbW0yePBnXr1+Hq6ur4HkL\no1WrVnj69CkWLlyIatWqGe1rYWEBHx8fzJw5E0+ePEH58uX19mvTpg2uXbuG9u3bG5zLy8sLa9eu\nxeHDhyGRSMyqWSQSITQ0FBs2bICbm5vePu7u7li+fDl2795dbOEeeT7++GPUr18fQG4QgaEQJUPG\njRuHa9euwc/Pz2Ct1atXx+rVq3HixAnY2toWumZT9YSHh6Nbt24Gj29LS0v06tULS5cuFRRcAwDD\nhw83eYx5eXnhp59+wv37980KhZLJZILO3/r162P58uW4efOmWWElhaU28oF3C2cHVNq/FJbVPQAA\ne/bsgVwu5+4fMWJEkfxBdf78+bh06RL69u1r8rpVvXp1LFq0CDdv3kTdunWN9h0zZgxatWoFKysr\nkzWUK1cOEyZMwL3HjzDzyknYB3cFLIVnjE5SOWObrB4aSx0N9qlfvz727NmDrVu3QiQSCZ4beDeQ\nQyaTISgoyKw5jJk/fz7++ecftG3b1uC5bm1tjc8//xwRERHo2rVrke27MAIDA3H37l2MHz8ejo6G\nn3sgNxBqwoQJuHv3Lnr37m1y7rNnz3K3bWxsMHXq1ELXq09pX2fLlSuHsWPHol69eoJek7y8vLBw\n4ULcu3fPZChUSSnr11lTPvroI3Tr1g0ymeGFQyKRCO3bt8fRo0dx4MCBMhUKlac4juWvvvoKPj4+\nEItNX48rVaqEH374AQ8ePCgToVB56tevj9u3b2PBggWoXr260b6WlpYIDAzE5cuXMWfOnBKqUJiz\nZ8/i+fPnXLt///5Gj1lz7Nq1izevvb19kcxLCCGEEEIIIYQQQvRj1WpknriA+M++R5R3IN7MXVeg\nUCirRrXhsmgSPO8eRIXV03O/7fE9+CC+pFZVOM8cDc/b++AWugR2vTqAsTLv/4QBQHE9AknfLkZU\n/V5I/PInZJ29BlbPlyUQQgghhBBCCCGEEEIIIYSQXOrEZCSOm4fYbmOFhUKJRXD8agCqXNkJWaD/\ne/F/UYQQQgjJZdPWl9fOPh8OVqstpWoIIWUZw7JsaddACIdhmHoAIvLaERERqFevXilWRN5HMTEx\nuHfvHiIjI5GamgqtVguZTAZPT0/4+voKCo+KjIzkheCcPXuWF3Rz9+5d3LlzB3FxcZBKpahatSr8\n/PxgY2NTHP+pBLQAACAASURBVA9JsKdPn+LmzZtISkpCWloapFIpypUrh5o1a6J+/fomQ0Hye/bs\nGS5evIj4+HiIRCK4ubmhTp068PHxKZJ6tVotzp8/jwcPHiAlJQUVKlRAjRo10Lp162IPhNK1adMm\njBo1CgDg7e2NW7duFWieuLg4XL58GbGxscjOzoabmxvq1q2Lpk2bFmW5giUnJ+PChQuIjY1Famoq\nHB0dUbVqVbRp0wYsy/JCXdq3by8oZCAqKgo3b95ETEwM5HI57OzsULFiRdStW7dIQkQePXqEO3fu\nIDY2FpmZmXB0dETFihXRqFEj1KxZs9DzmyN53nqkLgsxeL+FvR0qHVwOq4a1SrAqIDMzEzdv3sTj\nx4+RkpICpVIJe3t7VKxYET4+PiZDNfRRq9V48OABnj17htjYWKSnp0Or1cLe3h7Ozs7w9vZG3bp1\n3/kDsTrhNdI2HUD674egTc0QvL8oTTYikI3UjzwhadEQVZo0RMOGDbmQtrIu71yPi4uDXC5HuXLl\nUKNGDbRq1QpSqbS0yzNIrVYjIiIC//77L5KTk5GZmQlbW1s4OzujYcOGaNCggVmBXJ06dcLp06cB\nAFOmTMHChQuLq3ROaV9nMzMzcffuXURGRiIhIQGZmZkQiURwcHBAxYoV0axZM7i7u5dILQVVlq6z\n5lKr1QgPD8fDhw+RmJgIpVIJV1dXuLm5oWXLlnBxcSntEgUr6LGcnp6u9/VboVDg3r17eP78OXdt\nAgAHBwe4urrCx8cHXl5exfqYisqzZ88QHh6OhIQEpKenQyKRwMnJCbVq1YKvr2+pv98uaenp6XBz\nc0NWVhYA4M6dO2UquI0QQogwhl7DCSGEEFJ2xcfH49q1a1y7WbNmBr/sghDy4VA+i0HGzqPI2H0C\nGiNfHGKMhYMd7AL9YT8oAFYNyvbfXM2hSc2A/NBfyAg9DsXN+wWeR+TmCllQZ8iCu0JSo0oRVkhI\nLvodnBBCCHn/0Os3IYQQ8n6i13BCCCGkaLEqNdI27MObxVvAyrMEjbFu1xQu87+GpKanoP70+k0I\nIYSULarIOMQGjOVtc9u9BFb1avD7qVRISkri2q6urkmWlpbqEinyP0Sbmc1EN+1fHgA0r1NegQUL\noLlX0vmYUi6NEAqGImULBUORssJUMBT5sCgUCtSoUQMvX+Z+0+/Fixfx8ccfl3JVxYv+mGdcytJt\neDN/g8H7GRtrVNr3K6RN348go+KmzcxGxu4TSPttD1QvzP/GbOu2vnAcEwzrDs3o2wneE0qlEo6O\njsjOzoa9vT2eP38OZ2fn0i6LkA8evX7/96xYsQJff/01AKBr1644duxYKVdECCGkIOg1nBBCCHn/\nUDAUIf8d2mwFMo/8jfTtR5Bz6XaB55G2bgL7wQGw/fQTWFhbFWGFZY/ycSQyQk8gY28YNAmvCzyP\nVdP6sA/uCtue7SFykBVhheS/jH4HJ4QQQt4/9PpNCCGEvJ/oNZwQQggpOll/X8fracuhehIlqL+4\nihtc5nwFm65tzFqDQ6/fhBBCSNnz8tMxUEfHc23HccFwHBPM60PBUCWDgqFIWWZR2gUQQgghpc3K\nygozZszg2gsWLCjFakhpS12313golFQCt50LKRRKh4WtNRxG9Ebly9tRcdt8SFs0Mmt89j83EB88\nGTFthiB9+xFocxTFVCkpKleuXEF2djYAYOLEiRQKRQghxUCtVuOXX34BADAMg7lz55ZyRYQQQggh\nhBBCCCEfDsWdR0ia8iui6vfCq7FzCxQKJaroAseJn6HKtVC4H1wOWd9OH3woFABIalWF88zR8Ly9\nD267l8Cud0cwVhKz51Fcj0DSt4sRVa8XEr/4EVlnroLVaIqhYkIIIYQQQgghhBBCCCGEkLJHFZOA\nhGHTEd9vkqBQKEYqgdOUEah8IQS2n35CX8xOCCGEfABs2vry2tnnbpZSJYSQskxc2gUQQgghZcGI\nESPw66+/4tGjRzhy5Aju3LmDRo3MC7ch77/0kD+RPH2F4Q6WYlTYMg/WrRqXXFHvEUYkgm3XNrDt\n2gY5tx4g7bc9kB8+Cwj8EL/qUSSSvlmIN/PXw35EbzgM6wWRi1MxV00KIu9bIpycnDBp0qRSroYQ\nQj5MISEhiI6OBgAEBQWhSZMmpVwRIYQQQgghhBBCyPtNk5oB+f5TSN9xBMq7Two2iVgEW/+PIRvU\nDTYdmoMR/3c/dsOIRLDp0Bw2HZpDk5YB+aEzyAg9DsWNe2bNwyqUkB/8C/KDf0Hk5gpZP3/IgrtC\nUtOzmConhBBCCCGEEEIIIYQQQggpPdpsBVJX70Tq8u1gc5SCxth2awvn2eNgWcWtmKsjhBBCSEmy\n/sQX6SF/cm3F3SdI+/0Q7/MoGo0G6owMrp1hbS0VWVhoS7TQ/wBWoSrtEggx6L/7CTVCCCFEh1gs\nxsqVK+Hv7w+WZfHdd9/hxIkTpV0WKUEZ+08h6dvFhjuIRKiw/kfY+rUouaLeY9LGdSFdNwvlZoxG\n2sZ9yNj2J7QZmYLGapJSkLJwM1KXb4csqAscvuwHSa2qxVswMcusWbMwa9as0i6DEEI+WAqFAj/+\n+CMAwNbWFkuWLCndggghhBBCCCGEEELeUyzLIufSbaRv/xOZR/4R/OH6/Cy9KkM2qBtkQV0gruBc\nxFW+/0QOMjgM7QmHoT2hfBKFjNDjyNgTBk3Ca7Pm0cQnIXXFDqSu2AEr33qQBXeFXa8OEDnIiqly\nQgghhBBCCCGEEEIIIYSQksGyLLJOXMDr6Suhjo4XNMaypidc5n8Nm3ZNi7k6QgghhJQGqW89WNhY\nQ5uVzW1LWfL7O/002rc5UGmALVMSxRFCygwKhiKEEEL+X6dOnbBmzRokJiaCYRikpqbC0dGxtMsi\nJSDz2Dm8GjcPYFn9HRgG5Vd+D7uAtiVb2AfA0qMCXH4ch3LfDkP6jqNIW78X6pgEQWPZHCXSt/2B\n9G1/wMavBRzGBsO6dRMwDP3aSkhJ0GYroHz0AsqIp1A9j4GFrQ1sAz6BpHa10i6NkA/eixcvMHz4\ncABA48aN4eHhUcoVEUIIIYQQQgghhLxf/o+9+46vsr7///+4zsxJcrIXI2FkFAjBhThAAaksUewH\nB0odbUVbq23tp7bun9ZPXe23dXSorVXbYqkIShUZDkQEleEKYWUASQhJIPOMnH39/jgnJ4OMk5CT\nxet+u53bucb7/T6vE0Ku5Drv63l5Kk9gWbmexhXr8Bw+2qsxFJOR6CtmY162iIjzp8jnEyEyZI8h\n8cEfknDfcpq27MKycj22d7eiOnsWyuXcVYBzVwE19z9L1MKLMC9dgGnmVBStNkyVCyGEEEIIIYQQ\nYrBTVRVcbjDo5VyNEEIIIYYUV1EpJ+57hqbNO0Jqr0RHknD394i9ZQmKQR/m6oQQQggxUBS9jogL\nz8D+/medtvH5fDgdjuC6UdG4NCi+TjuIU6fSycXmQgwMCYYSQgghWvnRj3400CWIfmb/8HMqlz8M\nXm+nbZJ/9wvMV8/rv6KGIY05irgfXkPsLf+Dbd1W6v+yEufuvSH3t7//Gfb3P8MwOZu4H11D9JVz\n5OS2EH3IU1WDq6AIZ0ERrj3+Z3dR2Uk/G2uf+BumWecSu3wJkd++AEWjGaCKhRjeJkyYwMMPPzzQ\nZQghhBBCCCGEEEIMKarbg/39T2lcsc4/Ya6Lz366YjxzAubvLiL6O3PQxkT3cZWnD0WrJfKS84i8\n5Dy8DRasb32IZeV6nLsKejSO6nRhffMDrG9+gDYtCfM18zAvXYAhe0yYKhdCCCGEEEIIIcRA89ma\ncJeU4y4uw11chqu4NLjsa7CiRJowTs7CkJeNMS8H45QcDN8aK/NKhRBCCDHo+Kx26v7fK9S/sArc\nnpD6RF8zj8QHf4guLSnM1QkhhBBiMDDNnNptMFR9fX1wPUGjt+gVTWi/WAghhgUJhhJCCCHEaatp\n25dU3nSf/+5BnUh89E5ibryiH6sa3hSdjujFs4lePBvHjnzq//IfbO9uBV9oAcWuPYVU//g31Dz6\nArG3LCHmxivQxseEuWohhg/V48FdVBYIgCrEuacIV0Ex3uO1IY/R9NFOmj7aiX7caGJuWULMdQvQ\nmKPCWLUQQgghhBBCCCGEEEJ0zlVchmXFOiz/WY+3OvRzna1p4syYr5qLedkijJOz+rhCoY01E3vT\nYmJvWoyrqBTLyvVYXt+I99jxHo3jrTxB/bMrqH92BcapuZiXLiD6ykvQxprDVLkQQgghhBBCCCHC\nRfV48JRW4goEPrkD4U+u4nK8FdVd97U34diRj2NHfstGvQ7DhHEYp+T4w6LysjHkZqGJMoX5nQgh\nhBBCnExVVayr36Pm4T/jraoJqY9hcjZJT/wM03lTwlydEEIIIQYT04xziOji+N/Y2MDujUXB9fP1\ncV8kKJrG/qhN4BzoAoQACYYSog3V48FT0bOJh+JkupHJKLqh/eNl7NixqKo60GUIIcLIsbuAY8t+\nhepwddom4Z5biPvhNf1Y1eklYloeadPycB+uoOHFVTSuWIdqbwqpr7fyBLX/9wJ1v38V89KFxN12\nNfrxo8NcsRBDi7fBgqugGFdBUSAAqgjX/kOozs5/7vWE+1A5Nfc/Q+3jfyXm+suIvWUJ+nGj+mRs\nIYQQQgghhBBCCCGE6IrP7sD29kc0rngHx6df93oc08XnYF62iKiFF6GJMPZhhaIzhqwMEh+4jYR7\nb6Hp491YVq7H9u7HXX5m1xHnrgKcuwqouf9ZohZehHnpAkwzp6JotWGqXAghhBBCCCGEED2lqire\n6tpA8FMZ7pIyXEWB5cNHwe3puxdze3DlF+LKL8TCOv82RUGflYExLxvjlBwMedkY83LkhqRCCCGE\nCCtnfiEn7n0ax+ffhNReEx9Dwn3LibnhcvmcQwghhDgN6ZLjSXvp153uryko4CdvPNt60/+qqloQ\n9sJ6SFGUTGAaMBowAHXAfmC7qqqOAaxLAc4GzgRSApurgK+BL9QhGCgxHN+T6NrQTm4Roo95Ko5T\neo4EgJyqjN2vo88YMdBlCCFEp5z5hRy79heots5DiOJ+soy4n9/Yj1WdvvRjR5L02E+J/+X3afzn\nf2n46+qQ7xCt2h00/n0NjS+/SdTCi4j94bVEnJeH/+8aIU4Pqs+Hp7QSZ0ERrj2F/ueCYjylx/rn\n9a12Gl5cRcNf3yDy0guIvfVqTBefI/8PhRBCCCGEEEIIIYQQfUpVVVzfHKRxxTtY33gPn8XWq3G0\nI5KJuW4h5usWoh87so+rFKFStFoiZ08jcvY0vA0WbGs307hyPc6de3o0jup0YX3zA6xvfoA2LQnz\nNfMwL12AIXtMmCoXQgghhBBCCCFEez6rHXdxGa6SQOhTc/hTcVmvz+H0CVXFXXgEd+ERrGveD27W\npadhzMv2B0VNyfGHRaUlyZw3IYQQQpwSb10jtY//jcZX14LP130HjYaYm64g4Z5b0CbEhr9AIYQQ\nQogwUBTlSuBB/EFFHbEqivIK8Iiqqif6sS498FPgZ8CoTpqVK4ryNPCsqqruHow9C9h8CuUdUVV1\nbE87hfM9icFNgqGEEEIIcVpxHTxMxTU/x9dg7bRN7C1LSHjgNvmAt59p48zE37mMuNuuwfrfzdT/\neSWu/MLQOqsqtnUfY1v3McazJhL3o2uJunwmik5+3RXDi6/JiWt/iT8Aak8xroIinAVFqFb7QJcG\nqop903bsm7ajnzCOuOVXEX3VXDSREQNdmRBCCCGEEEIIIYQYglSni6ZtX2J/71Pch4+CXoc+fQS6\n9FR0o9PQp6ehG52KJiFWzucPc956C9Y3NtG4Yh2uPSF+btCeTkvUvOmYly0i8pJpcrflQUYbaybm\nxiuIufEKXEWlWFaux/L6xpBvJNLMW3mC+mdXUP/sCoznTMK8dAHRV85BG2cOU+VCCCGEEEIMbarH\ng+vgEVz5hTi/OYgz/yDuknLwqSgGHej1KEY9il6PYtD5nwPrtFtXDDoUg6GlX6v11vtpt67odSgG\nPYpBD4ZWr2No9dDr/Pvk738hBpTq9uAurQgGPrmLynAFlr2V/XZNX5/wlFXiKavE9u7W4DZtcjyG\nydkY87IxTvkWxrxsdGNHomg0A1ipEEIIIYYC1eul8V/vUPvYX/HVNoTUJ2JaHkmP/wzjlJwwVyeE\nEEIIER6KohiBl4Bl3TSNBu4ArlUU5SpVVT/uh9rSgbXAWd00HQ38DrhOUZTFqqoeDXdtvTUc35MI\nnVwpL4QQQojThvvQUSqW3IXvRH2nbczXX0bib34ik0gGkGLQY75qLtFLLsWx/Svq//If7Bu3hdzf\n+eU+qm59GN3oVGJvvQrzskVoY6LDWLEQfU9VVbxVNTj3FOEq8D+ce4pwF5eFdveQPqSYjGhTE/Ec\nrgi5j3v/IY7/72+p+b8XiPnu5cT+4DvoRqWGsUohhBBCCCGEEEIIMRx4a+qxv/8Zto3bsH/4Oaqt\nqds+SqQJ3eiUNqFRuvQ09KNT0aWnoU1NlIu3hiDV56Np25dYVqzD9s4WVKerV+PoszIwL7sM8zXz\n0aUk9HGVIhwMWRkkPnAbCffeQtPHu7GsXI/t3Y9RHT37HnDu3otz915qHniOqAUzMC9diGnWVAkF\nE0IIIYQQpy1fkxPXvmKc+YW4vjnof95X3OPftQeUXtd5SFUwRKo5dCoQNtVuPZSQKtqHVul1KEZD\nS0BVB6FW/tfSybxDMeQ1z1trDn9yFZfhLir1rx+pAI93oEsMG+/xOpo276Bp847gNiU60h8UlZeD\nIS8b45QcDNlj/D8PhBBCCCEAx849HL/nD7i+ORhSe21KAokP3070VXPl7wchhBBCDFmKomiA/wCL\n2+3yAqVAAzAOiG21LxlYryjKt1VV/TSMtaUAm4HMdruagBJAE6gtotW+c4DNiqJcqKrqoEtAH47v\nSfSMnI0UQgghxGnBc7SKiiU/6/KuRNHfmUPy7++WC0QGCUVRME0/C9P0s3AVldLwwutYVq4PeTKS\np7yKmof+RO1TLxNzw+XELr8KfXpamKsWoudUtwdXUSmuPYU4C4pw7SnCWVDUZYhduGjTkjBOzsKQ\nm4UxNwtDXjb6caNQtFocuwpoeHEV1rc/CnmCj6+ukfrnVlD/55VEXXYxsbdeRcS0PPkQSwghhBBC\nCCGEEEIEuYpKsW34BPuGbTh27ulxMLpqb8J98Ajug0c6bqDXoRuVir5VaJRudCr69DT/+qgUuZBr\nEPEcO47l3+tp/Pe6HoXVt6ZERhB9xWzMyxYRcZ6cjxyqFK2WyNnTiJw9DW+DBdvazTSuXI9z554e\njaM6XVjf+hDrWx+iTUvCfPU8zEvnY8gZG57ChRBCCCGEGAS8jVZc+YU48wtx5h/ElV+I6+AR8A7x\nQBe3B9XtQbUPdCFdaB0W1WqZduuh7dejREagTYxDmxzvf06KR5sUhxJlkr93xSnxWWz+0KfmR1Fp\ncD2UsPZ+Y9CjHzcKQ2Y6+sx09JkZ6Eal4D581P9z7puDuPaV9DpUvDuq1Y7j069xfPp1cJtiNGCY\nON4fEpWXjTEvG8OkLDQmY1hqEEIIIcTg5KmqoebXz2N9fUNoHXRaYm+7moT/vRmNOSq8xQkhhBBC\nhN/dnBwK9TzwqKqqFRAMj1oMPA1kBNpEAq8rijJZVdWGMNX2Cm0DlBzAPcBfVdV/dllRlCjgVuAx\nWsKUsoG/A1f04jX/CfyjB+17egLuFfr/PYlBRGY3CiGEEGLY81TXUrHkLjxllZ22iVwwg5Q/PSB3\nCR6kDFkZJP/2FyTccwuNr6yl4aU1eI/XhtRXtdpp+Mt/aHjxDaIWzSTu9muJOHtSmCsWomPeeguu\ngiKce4oCz4W4DhwGl7t/C9FpMeSMwTA52x8AlZuFMTcTbVJ8p10ipuYSMTWXxGPHaXj5LRr/sRZf\nTYjnX7xebP/djO2/mzGe8S1il19F9JWXoBgNffSGhBBCCCGEEEIIIcRQoXo8OD7Px7ZpO/YNn+Au\nKQ/vC7o9eA4fxXP4aMf7NRq0aUnoR6cGQ6N06WnoR6ehy0hDNyoVTWREx31Fn1DdHuzvbafxX+9g\n/+DzHoeDNTOePZGYZYuI/s4cmVA/zGhjzcTceAUxN16Bq6gUy8r1WF7fiPfY8R6N46084b+ZwXMr\nMJ4zCfPSBURfOQdtnDlMlQshhBBCCBF+nuraQAjUQZzfHMSZX9j538Ai/JrDq8IcrKMYDWiT4tAk\nxp0cHJUYhzYp8EiUIKnTmepy4z5SEQx/cgUCoNzFZXirQ5t/2V90o1P9wU/j09FnZQSDoHTpqZ3M\n6z03uKS6PbgOHsaZXxgMi3LuKUS1hidFTnW6cH61H+dX+1s2arXoszMw5mVjnJKDMS8Hw+QstLFy\nzkEIIYQYblS3h4a/vUHtUy+H/PuGada5JD32UwzZY8JcnRBCCCFE+CmKkgjc327zvaqqPtF6g6qq\nPuBNRVF2AJ8AYwO7RgM/B/6/MNQ2F1jQapMbmKeq6sftarMBf1AU5QvgPUAf2HW5oiizVVXd3MOX\nLlFV9f3e1t2VAXxPYhCRYCghhBCDXusPo19++WVuvvnmsL2Wy+Vi69atHD58mOPHj5OQkEB6ejoz\nZ84kMjIybK/bmbq6OrZu3crRo0dpaGhgxIgRZGVlccEFF6DRaPq9nqHIW9vAsavuwl1c1mkb06xz\nSfvrI3JH8CFAmxhH/P/eROyPl2Jd8z4Nz7+Oa19JaJ29XmxrP8S29kMipuURe/tSouZPlzAwERaq\nz4fncAXOgqI2QVCe8qp+r0UTZw4EQGX6A6AmZ2PIGdPrUCbdiGQS71tO/F03+v8f/nUVroLikPs7\nvz5A9R2/oeaRvxBz82JiblqMLjWxV7UIIYQQQgghhBBCiKHBZ7Fh/+BzbJu2YX/vU3z1loEuqYXP\nh7eiGm9FNezI77CJJinOHxQVDI9KQ5+eii59BLr0VLnAq5dcxaVYVqzDsnJDyDeDaE8TH4P56nmY\nl12GcVJm9x3EkGfIyiDxgdtIuPcWmj7ejeU/G7Ct24LqcPVoHOfuvTh376XmgeeIWjAD89KFmGZN\nlc+NhBBCCCHEoKWqKp7yKpzfHMTVKgTKW3lioEsTA0B1uvAcrYaj1SG1VyIMaBMDQVJJ8YHgqECI\nVGIc2uTAswRJDTmqquKtPIErEPjkDoY/leMuPQZe70CXGKSJM6PPykA/Pt0f/JTlD3/Sjxt9SsHs\nil6HMTcLY24WLPVfIxecv/fNQX9wXiBAz3eivq/eTlteL+79h3DvP4R11abgZt3YkRgnZ/uDoqbk\nYMzLlrlyQgghxBBm37KLE/c9jfvgkZDa6zJGkPjrO4haeJH8fi2EEEKI4eSXQOvJUh8DT3bWWFXV\no4qi3AK0Dk66S1GUZ1VVrenj2h5tt/5E+wCldrVtURTlSeCBVpv/D5jex3WdiuH4nkQPSfqBEK3o\nRiaTsfv1gS5jyNONTB7oEoToMZvNxkMPPcQrr7xCbe3JE8+jo6O55pprePLJJ0lKSgp7PYcPH+YX\nv/gFb7/9Ni7XyZOYR44cye23386vfvUrdLruD+c333wzr7766inXparqKY/Rn7yNVo5d+4sug4Mi\nzj+DtFcf63VAihgYmggjMddfhvm6hTR9tJP6v/yHps07Qu7v2JGPY0c+urGjiLvtasxLF6CJ7v/w\nNzE8+OwOXPuKcRUU49xTiGtPEc69xWG/899JFAX9uFH+8KfcLAx5/mftyJSwfJCkMRmJWXYZ5usX\n4tj+FQ0vrsK2/hMI8VjhPV5L3W9fpu7pfxJ95SXE3no1EWdO6PM6hRBCCCGEEEIIIcTAcJcew75x\nG7ZN22na9iW4PQNdUq/5TtTjPFGP86v9He7XmKPQpaeiG+0PjdKlp6IPhEbpRqehTY6Xyd4BPlsT\n1rc/wrJiHY7Pvu71OKaZUzEvu4yoBRehiTD2YYViqFC0WiJnTyNy9jS8jVZsaz/E8u/1OHbu6dE4\nqtOF9a0Psb71Idq0JH/Q2NL5GHLGhqdwIYQQQgghQqB6vbhLyoOBJq5ACNSgCloWQ4rq6F2QlDYp\nvm2YVGJcIFQqLrhfmyhBUv3B22BpCX4qLsNVFFguKUe19/M8tS4oRgP68aPRj09HnzkafVaGPwQq\nMx1NQmy/fZ8oGk2gjtFEX3kJ0BKiFfzZml+I85uDYb3Zo+dwBZ7DFdje2RLcpk1JwDglB0OePyjK\nOCUHXcYI+T8khBBCDGLuskpqHvpjm2N6V5QIA3E/+S5xd1yPxiSfYwkhhBBi+FAURQN8r93mh9Vu\nLj5XVfUDRVG2AhcFNpmBa4C/9GFtecC0VptswG9D6PoUcBcQFVi/UFGUiaqq7uur2nprOL4n0TsS\nDCVEK4pOhz5jxECXIYToZwcOHODyyy+nsLCw0zZWq5W///3vvPvuu6xZs4YLLrggbPW89dZb3HTT\nTTQ2NnbapqKiggceeIC1a9fyzjvvkJKSErZ6msXGxob9NfqSz9ZE5XW/7PQiDQDjWRMZ8dqTp3Sn\nITGwFEUJTvp37iuh4fnXsbyxCVzukPp7Dh/lxL1PU/vE34i5aTGxtyxBN0ICDkXHghND9hTh2lOI\ns6AYV0ER7uKykMOQ+ooSGYFhUqY/ACo3E+PkbAwTxw9IwJmiKJimn4Vp+lm4j1TQ8NIaLCvW4Wu0\nhjaA24N11SasqzYRce5kYm+9mqhFF6OEEHwohBBCCCGEEEIIIQYP1efD+dV+bBu2Yd/4Ca69nd+0\noSc0MdFEXjINxRSBp7wSd1kVnqNVgypoymex4dpb0ul7ViIM6EaloktPQze6bWiULj0NXVrisD4f\npqoqzq8PYPnXO1jXvI/PYuvVONqRKcRctwDzdQvRjxnZx1WKoUwbE03MDVcQc8MVuIpLsazcgOX1\njXgrQrvguZm38gT1z62g/rkVGM+ZhHnpAqKvnIM2ztx9ZyGEEEIIIXpJdblx7T8UCCop9IeVFBSh\n2h39009VuQAAIABJREFUV4Reh+Fb4/wBJXnZaBLjUF1ucLlRXW5UtxvV5fEvB9Zpt956Px20b173\n72t+eMDr7b/3KULWHCTlCTVIymT0B0W1CZOKaxcmFd+yP8oU5ncwNKlOF+4jFbiLSnE1h0AVleEu\nKcN7vG6gy2uhKOjS0/zBS5np/uCnrAz0menoRqWgaLUDXWGHFEVBNyIZ3YhkouZND2731jbg3OMP\niXLlF+LML8RdVBq2OYHe6lrs73+G/f3Pgts0sdEYJvtDoprDovRZGYP2aymEEEKcLnxNTur/9Br1\nz65AbXKG1CfqsotJ/PUdco2qEEIIIYarC4HWF+CWAB+F2PclWoKhAK6kD4OhgMXt1l9XVbXbuy2o\nqmpRFGUVcHO72gZDiNJwfE+iF4bvzEIhhBAiBMePH2fhwoWUlLRM1M/Ozua6664jPT2dyspKVq9e\nzVdffQVAZWUll19+OZ999hlZWVl9Xs/27dtZunQpTmfLCcNZs2Yxf/584uPjKS4u5p///CfHjh0D\nYOfOnSxevJjNmzcTEdF5uFFqaiqZmZnBdZ/PR1NTyx2CTCYTGo2mTZ+6ujpqa2uD69ddd90pv7/+\n4nM4qbzpPhw78jttY8jNZMR/fofGHNVpGzG0GCeOJ+WZe0i4bzmNL79Jw8tv4attCKmvr8FK/bMr\nqP/zSqK/MwfTjLPRxJrRxpnRxESjiQ08zFEo7f6viOFJdblxFR7BVVDkD4IKPIf6PdWXtCNTMOZm\nYsjN8gdATc5EP3bUoJz0oR8zkqRf30HCL7+P5T8baPjrG/7grBA5du7BsXMP2pEpxH7/O8TccDna\nhKEVTCiEEEIIIYQQQghxOvHZHTR9vAvbxm3YN23HW13bfacQ6MaOJGredKLmzyDivCko+rZTG1Sf\nD291LZ6yStzllXhKK/GUV+Ipq/Kvl1Wh2ps6Gb3/qQ6X/0K+zs6VabXoRiajG52KLn0E+tahUaNT\n0Y9ORTEa+rfoPuCta8SyahOW197BVVDcu0F0WqLmz8C8bBGRs88dlOdFxeBiyMwg8f5bSbjnBzRt\n/QLLyvXY1m1Bdbh6NI5z916cu/dS88BzRC2YgXnpQkyzpsr3oBBCCCGEOCU+W5N/DkrrEKj9h/o1\n/FiJjAjOQWkOIDFMGDdgf3eqXi+q29MSROVuFSgVWKfdeuv9dNBedbpa+rVa73S/y+UPrgoGWLn8\nwVduCa8KldrkxFNehae8KqT2wSCpQFiUJjEObXJcm3Cp1mFSwylISvX58B47jquoLHi+yFVUiruk\nDE9pJfh8A11ikCYh1h/61PwIhD/px45CYzIOdHl9RpsQS+TFU4m8eGpwm89qx7W32P+z+puDYf95\n7Wuw4tj2JY5tXwa3KSaj/+aRzT+r83IwTBiHJmL4fO2FEEKIwUpVVewbPuHEg8/hOXIspD767DEk\nPfZTImedG+bqhBBCCCEG1GXt1t9T1ZDTtd9rtz5LUZQoVVV7d4e5k7WvbVMP+r5H2xClRcDjp1pQ\nHxiO70n0ghL6/zMhwk9RlFxgT/P6nj17yM3NHcCKhBCDgaIoweWXX36Zm2++uc/Gvvrqq3njjTeC\n63feeSdPP/30SSFJv/3tb/nVr35F83Fz2rRpfP75531WB4DD4SAnJ4eyMv9FAXq9nldeeYXrr7/+\npHbf/e53Wb16dXDb3XffzVNPPRXyazU2NrJ58+bg+uzZs4mJiWnTZtGiRaxbty64vmvXLs4555we\nvaeBoLo9VH7vAewbt3XaRp+Vwci1z6FLSejHykR/89kdWFZtpOH51/13b+oLioLGHOUPiWoVGKWN\niUYTa26zXRvbvM3cEiwVHSnBUoOQt64xEPxUiGtPEc6CYlwH+nfSHeC/+2LOWP/ku7ws/3Nu1pAO\nRlJ9Ppo276T+xVU0fdjz46ZiMhJ91Vxil1+FceL4MFQ4tIRy/BZCCCHE4CPHcCGEEGLoOXbsGDt2\n7AiuT5s2jREj5I6uzTyVJ7C/tx3bxu00bdnZ47CVDikKxqm5gTCo6ehzxrb5fKinVFXFV9foD44q\nawmN8pQ3r1fhq2s89br7kTYlAV16Gvr05sCotECQlH+bJjpyoEsEAucEP/kCy4p12NZ9jOrs3feH\nPnsMMd9dRPTV89Alx/dxleJ04220Ylv7IZZ/r8exc0/3HTqhTU3EfM08zEsXYMgZ23cFij4jf4ML\nIYQQQ89wPn576xpx5h/E+c1BXIFgEXdxGfTj3H1NnDkYJtIcLKLPTJfA0x5Svd5gcFRLSFUgOMrp\nDgRIBUKqWq2HGlJFB6FVzUFXvgYr3pp6vCfq+n8u0yCimIzBkCh/cFQcmqS4NuFS2uSW/YMhSMpb\nb8FdVOoPfipuDoEqxV1Sjtrk7H6AfqJEGPxhT+NbAqAMWRnox48e0vPWwkF1uXHtP9QS7PfNQZwF\nxf0bUK/TYvjWWP8NJqd8C2NeNsa87AE5Nzicj+FCCCFOb66iUk7c9wxNm3d03xhQokwk3P09Ypdf\nhWLQh7m6UyPHbyGEEGJoKigoYPLkya03TVZVtWAgalEUZT0wv9Wmm1RV/UcP+h8CxrbaNE1V1Z19\nUJcCWIHWJ0nGqKoa0oXFiqKMAQ632mQDzJ2FXimKMgvY3GrTI6qqPtyDkkOpqV/fkxjcdN03EUII\nIYannTt3tgmFmjdvHs8++2yHbe+++26Ki4t54YUXANixYwerV69myZIlfVbPH//4x2AoFMAjjzxy\nUigUQEREBK+99hpTp04lPz8fgOeee46f/vSnjBo1qk9qqaioYMOGDcH1M888c2iEQnm9VP3o0S5D\noXRjRjBy9R8kFOo0oImMIPamxcTccDn29z+l/i+v4/jki1MbVFXxNVrxNVp7119R0MRE+cOiWgdI\nBUOmzB0ES/mftbHRKFEmCZY6BarPh/vQ0UD4U1EgDKoIb0V1v9eiSYjFmJsZvAOjITcLQ86YQf9h\nUE8pGg2Rc84jcs55uAqP0PDX1Vj+syHkyTBqkxPLP9/G8s+3MV10NrG3Xk3kpRfIBEUhhBBCCCG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Htch7tUVcVX24CnvAp3WSWe8ko8ZVV4yisD61X+Cx87YZyaS8yyRURfeQma6Mhw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\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WLBBrZ2fnMqFQpXr06IG1a9eKdXZ2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lEPXxARVwDvpzTKrbcxrdWB9hxgGaUB7nzgaIDx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AANDe1q2zgppefrl1+x19tHTLLdaFNF+XkwDag9crnXWW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\n165dCQgIcOv8ubm5fPLJJ9x00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RERERUR6tWxu2Q0OLpo6CEgQBXl5e8UqlMj33fTqdTq7Vau3y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8dy5YrMj3v27MGIESNQUlLCbWvQoAHCwsIQHBwMR0dHKJVKZGZm4ubNm7hw4QJu377N1U1O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\ngt27dw8XL15Ee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bcsy86wZHwMw/wDoLXepnCWZXcKbPsBzAc2HQHwPYBolkKAnhs2z3oA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\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sUFR9kNQhwVOHhkyF1gcOBkU1hEYFDu57SJBUaN/64wQCjcc7dBy/H43NgjG7H+YRgzBm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\nai7S3n8RZZf/HJ6q2oB9nLsKULrgZ0h79znoUpMC9hlspJR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oIgDBcEYZIgCN8IgjBCEIQugiDYF/b6qOgzLewFEBUG5ZAGb2/vQlnH+8bR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\nIDIyUqrr1Kmjcly9evVkta79L126JP1gPT/6nzt3T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9og9m9ibgu8SCCdkrgU8TA1lFRERGXIrh04g4vjERw+cQRQcvA3oG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ABAb1j76tVkSJMV4KQlg5zSA52yp1OXsdeNRBwl99vU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\nSn/MV1ZZybEklIdYTKStTTouUOp+vLHRK5s3j5dQy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UTwiVDZXVA7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LSivevoRS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6/4fRBlw2jjfOCLk2lPZmZEfBG4H/BOygKcQWA/4H+A8yJis/ra1nT66IPABcBbMvN3xm9J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\nB2Bfkd9rJ78B2Jdk+NrJcAAAYF4aQ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Dt27MBsNmtt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x/PhxAM6fP+/yMS9cuGDTvvfee10eW5DceeR64IEHXB5bu3ZtLbjJYDBw9uxZmjRpUuw5Afnq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\negQt3cvgrtj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khx7YzvbD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9/97nfx0EMPoaura8y1SkpKcN999+EjH/kIFEWZsLap2LlzZyy0CQDuvPPOCY+55ZZb8JnP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\nFozFBNZiAjC4z2jAH87oFsLCnqQOZ5fwJzUASrbZuwdEd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R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\nerf5BXANZXbxpMwUvl9EbD3gaX+jvjbn/PgBt2+7htLYB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4yy4Dnn5aTGLYtcsW/LRnT9MnBJlM4uKon38G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YmJgy5+/QoQM++OADxMTEICYmxiFApXjQU2WbNWsWTpw4AQB4/vnnYbVaHcJZPDF9+nQ55Amw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\nPYWGkxfoBEQRERE5LCYa6wxwqm3sJsSp6bAuzB9N1jGd4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wDYeiR6AgC2rO7u8SHaZCLrtgwP5/58MgGmu3fNTIaZfH767SRvHX++IsmJSX5x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\ns4lq8xOIgThG3NjLdAE/Av49fbb85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bNxB0YMsv0q8LWeDgH8zt2/UfSac+dWG1xEpATU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\nix6nwHmyDF/Yw/ZBKfKUs8Ld/5+ZjQPWIwb+7kEMxJ2dG3gsIiIlo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o1GI582bRq2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\n92EENjkjx1cJIYqklI1DdZZS/nOEJf43gEcA9O5SP0kIU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0IkZ862BDYo26faOfNimquIuN6Tzrk5miArIiIdphA33070g2eL3P0m\nM+updwx3/wKx6GT1YYF3mNmcBs6f++mX1titvF0OMB14rZndUKyaKiIi0mGa7UM/EBrvQ1cbXERE\nZNiMyjh4HcuIOJ375HvSOTVnTUREOtmIjYNX+H6fme1ItJ8hihPfnLbemQS7AAAgAElEQVTltnY+\nxjXAY4WvbwlsvfomzLorJJMSEREZ18rWk61HaT3Zfe7+6CDXk60HvKrKerLy82suuoiIiIg0RZ03\nIiIi0qlyR95iBlYbnQL1J8sUOuL+lI6Rj3cQsEPep9Bh+CgpczwxeLcBsE76+wp3/4OZTShOjnX3\n/jxAlyqsf5NUhZ1Sx+OrzSxnhBcREekY7v5sqkae3xfjZh9wPREvJxDxdnsz2wTqL0apc948eSZX\nMO8DLgI+BewH7AG8EXgF8HniGSAP+hnwAeD9GpATEZFOUYjP17v74kYmzlQwA3g4/d0F3AvMrrH/\nfOCpwvutgI3TddRdqJKSNC8Dbkof5WeOXdJ2VUEXEZFOkfvBF5Z9nheA9lJDIe5fzMAK5zsBh5bt\ns4ZCP/3vCh8vAs4E3gG8BHgfUVThb0T7v2gecLKSQ4mISCcawT50tcFFRERaaLTGwatci6djbpbO\nNTFtutnMJlb/poiIyPg3SuPgxXi/HaUETw+6+6Vlc9A9vT5ItN3703+TgHlmNj1t7yvMhxMREekU\n1daTTYam1pOdSo31ZNW+r7noIiIiItKsCfV3ERERERleZrYFMMHd7xqpcxY60qYSA125svmjZrZW\nmnzaiIuAVwH7pPdbAXsTVU2Lk10fplRxJXf69RMDeT9N7/uqTY41s253X2lmvyYmwebnuOcDWwC3\nNni9IiIiLTMaMbwJ9xLxcR4xYDaNqJTyWyL+DrVi6lVE/L+6xuKWs8zsLOBLxOBcH1G95e3AXcDp\nQ7wGERGRpo12/G6manlaHNpPVDpdl6iONoFYcLqgwrFzTL4deKKwaWNgKzM7v8FJrV1Em/0SYF9K\niSz2AH5BtOtVCV1ERIZVWsAxG3gusD0Rf7YjJn3+FFjm7s8O5zUU4vaMsk1Pmdksd3+i/DtV/AE4\ngGibA6wFHAb8qsHv/5KIzb+ulWDCzF4DfI8ozJC9BPg0MWFWRERkWKX4PZWI4RsS8XtjIrHhpUBv\nvcSKI2hIfehqg4uIyHjSSTG8GWZmKTnUzunYK4nkUPeleWxdDcZ7ERGRlhtr8Xs4x8HLzpPbyG8q\nfPznsm35PN3puq4DXkopyeM2QJeZTSX66g8CrnX3nzV6DyIiIoOVYvjawCZEksOZwHrA+sDNwDXA\nPcWkya3WwvVkFwKvpMp6sgZoLrqIiIiINESJoURERGTEmdnawIuBw4GDiQ69H5rZZ9z96RG+nI2B\nJZQWtjilKuhVFToCbwOuJjrjHJhOTFj9fnHii7s/a2b3AMuIRS+58koXMQhZTz7WucD9RCU2iAVB\nG6PEUCIiMgLGWAyv50liwGwepUUjLyQmxA5ZGoC7CmISDTG5aHWSxzyxxt1vNLOjicG+HdLXtyIG\n5zQYJyIiw67N4ne5HMOnA1OIKugAi2pN/nH3JWZ2O7AX0e7uAnYHZgEL657UfVX688b0mif/bJy2\na6GLiIgMm7QQ4yjgtUT/7wyignex4MDXgPlm9j3gp+7elxdrDtNlbUWp+ijp77pzDQoLYf4O3E0U\nPSAdZ8+yfWodx0lJpMysh7QYtdAG73H3Xnf/o5ktIyqz5uqok4D/RImhRERkGJnZRCK2HQLsRizs\n3Jxoz0IkdpwE/MnMTgSucPf+YY7f9bSkD11tcBERaWedHMMblBM0rkjv8/kml70XEREZMW0av8sN\nahw8M7PZwM6Fj/6RPs99+F1EHM9t6tOB91EqqnAwcC1RmDg7BVBiKBERGTZmNoUYL34R0Ye8FbAp\npeJCEDGxBzjDzH7i7men7w5XYuKhriebTwPryWocR3PRRURERKQhdR9SRURERAbLQlfh/VZm9lHg\nMuBPRLWSTdLmzYgs78WBqeG8tnxdTxIdh3nxyXOA5Y0ex92XEpVUniE64bqBXcxs63Se4m9wNfBQ\n+rufWDjzIKXJMrXO4+l1PpEYKh9jGqXfUEREpCXGcgxvwrPAlenv7vS6HzRXoa0RadBtVXHyUNk5\nbgd+Tel5YyIwz8zWb+V1iIhIZxsn8XuAQmx9a3rN9/eLat8p/AaXEBVV8/tdiDZ/M/f8JKXqrBBV\nU6fX2F9ERGTQUiz/GHAT8EOiQvcGRP9xMXblBR3bAycAl5nZVHf3Vsf1NPkU4PGya5hNxNmGuPtD\nRP940QZmdnA6T8PXnRJArShrgxervv8VOK/sa5uY2XMbPYeIiEijUvw+GPg58AfgC8RCjJ0pLUhd\nBcwB1gXeScSqr5vZxOGI300Ych+62uAiItKuOj2GNyol0ZhOJHyESLKxDLgrbR8ryTVERKQDtHn8\nHmAw4+AwoI39ciIZFsAVRCGJnnzswly2fjPbDjgCWDufHliHSApVjOU7m9mGg7wlERGRqlIMP5wo\nBPQn4L+JGL4DA5NC9RH9w71p++/M7DvQ+gIChb7tRQxtPdkS1lxPNq+4nqyJY2kuuoiIiIhUpcRQ\nIiIiMmzS4FI/gJm9EjgW+BywE9FZl/+DGJjbLH9vJC4vvc4HplKqirJr4e+aCp10NwN3FjbNTseB\nUuW0vN+tZYeZls9X774LnY93pNf8221Rdj0iIiJDMsZjeEPS9d9EVHLpJgbCnmNmc2Fk42a6lquB\n+wofzwC2HalrEBGR8W88xO9KzGxPSpXOuoG7gVtqfCXfzz8ZGHu3JirHNnPPk4F/F94vAVVAFxGR\n1jOzDwEPAN8lJptWG8evFIf2JsXGYYjrua/8H2Wfr0sssKmr0P7+B7F4NJtITOiFFs5bSJNjz6P0\n3JPP9YJWnUNERATAzJ4P/JGIO28E8uLJPiLmObGAZDExZtybtk0FPkksghm1dnmL+tDVBhcRkbbT\nYAxfwfiO4c2cbzGwe3rbB6xFmrumuWoiIjJS2r0NXskgxsFJya26SG3u5BZ3X5iKKriZbWJmbzOz\n08xsEXAbkUQrJ4Yqzms3Yh79H4DjiASUIiIiLZFi0keINuyfgdcQMdyJsealREKlRcCNRPEAIxI1\nrSJi1wdScaVWy7HwVgauJ9uNwa0nu6OwaU46DgwsvjQkmosuIiIi0tmUGEpERESGjZlNN7OPmtm/\ngNOIRR4ziU60nvRfrvi5GbDtSE0YKQzu3U4MZOXOw5nAVun6a15L4RgPURqMc2AKsGNht7zfg0RH\nnBP33UdUqVm/wfsudhxCqcNxq7LtIiIiQzKWY3iTHiAGCyHi5iRKC0FHpE+k8Ls8RjwLZJOIhbQi\nIiItMY7iNwBmliudv4mImSvS+zPcfUG1ay+0we8Arqc0kWc68CIzm9HAufOxnZhAkxNLTHf3JYVr\nExERGRIzm2NmfwG+BWxcttmJhSA/Iqp/Pwf4MnBphUNtbmbfb3WMKsTVv5dtMuD50FQ/+r+ItnHx\nGLnAQksqvBau5U4GJqHqorRQSEREZEjMbO20EOWHwCvLNj8BnAK8mxgv3hh4K/A1YCWx0JP095Fm\n9vpCcaDRMKQ+dLXBRUSknTQZwzdiHMfwRlmYSClJhBMLd9dp1TlERERqGWdtcGDw4+AFU4HXUupX\n/z8zO9zMfmpmC4D7gZ8Rv9f0Ct93on/+PuC9wKHA+4AT3f2pwd2ViIjIQGY2CfhPYny7PHHRg8CJ\nRBza3d1nAQcD/wEcTSR6nEDEuonAh8xs53TclsTysr7t4nqydYEt07maWU92a/6YWE82t/B+yDQX\nXURERERGvVNLRERExjUHPk50ahWrhxtwHTE5tD/9Z8A8Kg9CDQszM3fvJZI1UbjGg9Nro89KTwJ3\nFd5PBrY0s55idZmUof3Cwr75fHsS1dRqSpXOoTTZZlI6xpLC8UVERFphTMfwJjwFXFn2WY7zI1IB\nrvAs8G9gduG8GwALRuIaRESkY4yX+J3b632pwvmr0seTiMktJ0Ptaq75+8D5wMOFTfsB+6Z9GllY\nupBo4+fJNV3p3H1VvyEiItKcDwKHE3Euexr4LZEMYWt3f7+7n+XuC9z9C+7+POBjxELMoqOAI6H+\nJNVmpLj6LDEBt+ht6XUCjbmHNdvBm5nZlFZVaS8c525iwm3WTTwLiYiItMLBwHeAHYh2Yj9wFfB+\nYBN3f7O7/8bdb3P3Re5+prt/noj5V6Rj5Jj1HlKixFFK3lypD/2F6bWh+Kw2uIiItJHxHsNbPg6e\n2tk7EgtxIfoAHkj/1eynFxERaZHxFL+HPA6e7EEkk8pz3M8G/gy8nSgQVW4xcFE6/hOU2t1Tgfvd\n/T53f1LtbxERaTEnYs1Uoi35FHA68Gpga3d/h7uf4u53pP2fcvfL3P1bwEeBe4lY10vEtxw3W5oM\nucp6stxH3tL1ZEOhuegiIiIiosRQIiIiUtVQsqmnTrIlwKPEINIEYnDpTOBN7r4HcBywnNIg087A\nnPz9IVx6QwqdY5fny06vz2/yOCuJjsen0jGM6GzbqMLuVwFnpb9zIqcDSFnlG5Q7GvuJ3/USGL2B\nShERGXvGewxvlLuvIGIvlKrA7WlmE0choWIvsD7xm/Wm61k5wtcgIiJjmOJ3SaG9fiRR2TVPQj3N\n3a9r4lCXABenv1cC6wFvSeeoOrG1cP5diLZ3fo44t4lzi4hIh2gw0UE1D1LqJwZYBBwDvNndl5pZ\nt5n15FhtibsfB3yTgYs912HNiulDVoiLt5RtOqDJ4zwD3Mma17zr4K+uqlzVtWjZMJxHRETa1BCr\nij8BPJ4PBfwD+Azwv+6+wsy6Ugwvj98XEtXRn6CUFHIuKXnSaKjSh77HIPvQ1QYXEZFhpxgeRmIc\nvDBusAJ4LjHGDVFwYkErziEiIp1B8btkKOPghdj8byAn0VheYdde4Ebgp8A7gUOB1wMfAuYTffRO\ntNu3M7OJFY4hIiIypBie1ljdnN4+AHwJeL+7n+buveUx3N3dzHJBoj8CJ6a/cxv38LL3QzZK68mG\nSnPRRURERDpUo9U7RUREpEOY2VrAtsA+RLXumcCGwG1EQqMb3L28Enkl3UTG9IuB3YjBpF8Cf6E0\nOeROovNranr/XGAL4PYRriiWK4XnZ6O9oLHqo2kA0YlqLU8CM9KmdYC1yvdPlV5OBD5CqZraDsBh\nwE0NnG868TtBdOYtJ1VeVRU2EZHOlmL4NsQElpGO4dsxOjG8EfOBR4jfYhUx0LYncJmZdQ13gigz\n607PFG8kng/6iMWpFxDJO0REpIN1aBu8IWa2DfCu9LabiJvHp201Y3i+H3d/2MxOISa65sk7Lzez\nF7j7RTXO3ZMqwh1MFNhYQUwYvi9tt7H4m4mIyMgxs1lEnHgVsIWZzQBmEnH3ZOD/3P2RBg51HZHE\naCpwhrsfXtyY2pN9hffF+PNj4CiiTQ4R6+aZ2dSUhKnVrgT2K7zfKF1Tb+XdSwqx8z7imSUnbZoE\nrNuqCyzE8G9Riv0Qffflia1ERKTDtLANfn/6bzbwSXf/bnFjeXu1LH5fDPwZeDuxCHMmsGtK4jBa\nizeG1IeuNriIiAy3Fo6DK4Y3oXD/EyiNcQM8RMyPWzSU44uIyPimNnh1gx0HL9zbQ8TY/4HA5PTZ\n3cC1wD+BG4jkFP8GlhWPZ2Y3AHsT7W8jkjTPoJR8S0REOlwr2uCFPt1bgLcBF7r7fcV9KsU7d1+V\nXp8xs7OALxBrrhzYeBjHwUdsPdlgaS66iIiIiCgxlIiIiKxmZvsRA2D7A5tRGjACeBnwKeBiM/sW\n8Fd3768xETN31P0EuM7dT66wzw3EQpmcCX19YHszu6CRxSQtNJ/ohJtJTJTZ0sx2d/drm5go8yAx\nSTXbhFKltAHc/YaUHOpIYlBvEvBhMzvb3f8FpQ7ClAG/C7DU0fluYPt07B7gfOBSTYgVEelsYyCG\nz2Z0YngjHiEW2h5G3NsE4IXAZQxcJNpS+fdNSSE3A95MxO6VRPy/0N2XDNf5RURk7BsD8Xu02uCN\n+iBxjXlB6K/c/Y7CgtGGuPtZZnYFMcHVgSnAl83sre5+V7Hdn9rg3aky3W5Eki3S+W8lnimUmFlE\npMOZ2buAjxMJFssraW9ALHT5qpkdC3w1tQurxfC7icUpE4kkTzQa69z9CTO7kVJiKIBpRPLHa5u7\nq4ZcBnyUUlu6x8yOcveTChNR67mZgVVcpzCwX31QCm3wXjPbh+gDKLrW3R8a6nlERKR9tbgN/gRw\nKnAG8MN0/IZiobsvS4swlxCLNyDGqNcnFnaOhpb1oasNLiIiraYYXtNIjYPvRRQunELMYbsNaCSR\nh4iIdCjF77qGNA7u7k+a2ZVEko5rgWuAO4jkTktzUo0iM5uQPr+SGIuYljbtRMwfUGIoERFpWQwv\nvF/g7ncVjt/MmqfHiOIBm6f3jxBj8Xc3eVuNqLSebA93v2aI68nWiMnN0lx0EREREcm6RvsCRERE\nZPSZ2XQzOwG4FHgrUaVlcvluREfVgcAfgG9C9YmYufPL3W8HTknn6TazrvS3ufsK4EYiW3k+zjxa\nWCG8QfcSVVKg1PmWF47UfF4q3P+dRAebE5NtNmbgAhdg9QRXgGOJwTiIyTNzgK+b2b7F4+ZOPHdf\nZWavBI4mOvC60vdOTts1IVZEpAMphjdkKXBF+jvH4een16arpBZieaVtXfl3yr+vmT2fmKC0BxG7\nJxIDk8c3e24RERkfFL/rM7M9iYksq4jJsHcDx6X7aDgpVL5/4LvEZFgjJsbsD3zBzLbMk5RgdRt8\nlZnNAr4MPCftD3C5u9/fgtsTEZE2ZWabmtnNRCLGbVkzKVTRdOCLpPZojf7bJ4FPu/sh7r447Vs3\n1hXapuXVPycTC2WGw2VEhfGit6TXmgWpCvd/IQP73LupUmAB6rbBu82su3h8M/sQUUxhamHXXqJy\nqoiIdKDhaIMDzwK/dvcvu/vytG9DlcPTnzlW5/7p6cCyhm5oeCwFLk9/D7oPXW1wERFpJcXwhrR0\nHLxcbnMT8+GmUorTk1MM1xoEEREZQPG7vlaNgwO/A94EfM3dz3D32919UaWkUEn+za4CFlJ6dtgG\n2LLZ+xARkfFlmGI45XGpyTVPs4n4nb/zELCg1vjxEFRaT/ay9NroerK7WHM9WdVnFs1FFxEREZFm\naVBGRESkw5nZFOAYogOv2PH0KDF55FTgPOK5YRIxyWMt4L1m9vVGzlFYoNpXyJaen0OuJAbZcsfW\nTkQVkxHj7k8Dfy/7+FVpW90s7SkL/EqiqowRnYH9RJb3AZ12hYRP/yImxS4mOk37gUOB35rZh81s\nl/TdLczstWb2e+CPwIx0qG7gRHc/eVA3LSIibU8xvDFp0kxOxpgH3XY2s5mDSaxYZxCz30vVzrcy\ns88BJxCVzp2I+Y8Dr3f3Z5o9t4iItD/F7/rMbALwPqJKaV548mN3X9hs7C7c/2nAj9Lf+ZhvBP5k\nZq8hJhNhZpub2VuBvwAvJf6NJhLJoI8Z3B2JiMh4YGbrEvFkbtmmfmIh5oNUTsi0p5ldXuFzYHVC\nhJsGcUk5tt9b9vlUdx+WCbHu/hiRHKooFzpYseY3BkpV3JeyZiKondL2Na65Thu8Ly8AMrODzOxv\nwLeJZ6esH3i7uy+sd30iIjL+DFcbPMXv8uSMDV1S4fzrUFpgspG7LxqmBS11pT70a9PbQfehqw0u\nIiKtohjemFaPg1c4fv7tczLoicS/x8Np+5CTT4mIyPih+N3ABbV2HPwZd3+ykb75tH+eu34nkbhi\nFZHcY21gx/TvJyIiHWgk5rI1eT25ONOmRDGBHMNvSuPDQ27vlmvRerIVxLyBvJ6sjwrryQrn1Fx0\nEREREWlKzcqdIiIiMn6lRRh9RIfVhygNMj0MfA/4o7vfm/adBWwF/BjYJe03Cfi0mV0L/LmRDq8y\neXLIVUSV8XXS+1x95Mamb6qGNKA2FdgAmOHu/0wdcPk6zgGOJSaxOLCLme3h7tdUPmJJqmw6CbiP\n6GybCCwg/aY1Ou1OB94BnEI8lzmRGf44Ipv9NGLijhEDgVk/8APgs+neivchIiLjnGL4GjG8EXcT\ni0m2IQbbZgH7AWcWfs9Gr2d7YiHwhcAcIsnjQmBdohLLnunYe1BK6OjpvFcBX3T3axS/RUQ6i+J3\nU/F7D2LBaHYr8IuhXI+7u5n9AtgIOJqYgNMN7Az8HrjZzGakz9an1EbvBm4DPuzujyp+i4h0HjPr\nSQstvwTsXtjUB5wLfMPdL0n7bg0cQCRCKC6i2NfMvgN8rtFFGvUU2rHlCR4XmdnUwU4ATf3cs4l2\n70bu/ouydvNPSJNgkylmdpS7n9TINac+76coJW9aRfSBV+xHN7PDgIOI56LtiWen+cAWwGuAFwA7\nAjMpLfTJlhDV0k9qtu0vIiLtbQy0wSsqtCdnptc8Ln2HmU1MhYiaNtb60NUGFxGRwVIMH90YXsNu\nxBhDjteDSXAtIiLjlOL36I6DN6NwndcAL6G0nnBXYo76syN1LSIiMvrGcAxfaWbrAF9IH/UQ67S+\nMZTjjtB6sgVEXK27nkxz0UVERESkWUoMJSIi0qHSIoy1iQ6zbqKDqBv4rrsfl/czswnu/gTwhJkd\nCvwceBnRqQTwKaIS+oXNTCgpVB+5w8zuIrK5OzG4tKOZnePuywd7f2bWRSy+mUUsEpkH7A3sBWyV\nBvZyNXFz99vN7EpgH6JieQ/wGjO7y92fauCUM4mkTtna1J8I0+/up5rZ+4DPpevsJn6HzVlzIQtE\nR+uvgBPcfRmoApuISKdRDC/F8CY8TgyEbUMpMcYhwJmDuMT1gW8S93078RtuQSzGdWKRywSiOk5m\nwPnAV939UlD8FhHpNIrf9eN3aps78F9ELF1BTCI6zqNq65AmsqQ29GfTRJz3pnMY0QewY6VLIhak\nHuPu56VjKH6LiHQYd+81sznAu8o2nenuqxMkmdkkd78LuMvMrgYuIBIsZe8BHgKOKySbGrTCc8Br\nyzZd6u7PFOJq3eMQfdtbEZNKn08kwNoE6DGzk/K1pmP+1cyWMrCQwfvN7GJ3v6+BS9+SUoJKiOeh\ns2rs/xzgw8DHieqzy4kJu901vgORCPMYdz8BBiTSEhGRDjDabfBqCu3aV6ePcrv3vLTYpdH4Pdb7\n0NUGFxGRQVEMH/0YXna9+bebQYx9L6HQplcSZhERAcXvsTAO3oQ8J/0a4DrgSuBs4HxvUVELERFp\nH2MxhpvZdGB/4DNEzIXoN363uy9p5vhtsJ5Mc9FFREREpClKDCUiItLZDiUSEOWKXn8E/gdKg2I5\nc3vqRHvMzL5MTPjYj5hQsgexMONCShNMGlIYzLqWqOydn03mAesBDzZ5vCnAdGLRyg6UOu7mApPL\ndj+Q1PmY3vcBJxMTUddOn70cuAw4vYGBt+VExXKI3+FJokOwqsLC3J+b2WXAW4A3Exni1027LSMW\nDN0OXAyc5e631TquiIh0BMXw5gYQlxGTWd5IaZDsgPTa7KDYAuB+YjBuWwYmcjQijkNUUbsLuAT4\nVSNVY0REZNxT/K4Sv/NkWDM7gvidlqdjXJXazK2Y/GsePm5m5wIfICYqFT1LtMFvJSbBnuTuqowq\nIiKfotTWA3iAtJgkx6i8aCIlfbrFzD4DHEdpweTUdJzjiEmcQ5Im6u7OwORTDvwzba+6oMXM1iXi\n9y5E23g/ImHTWhV2/wApmVV630vEyNcV9tkFeCfw+QZi9mJK/e/5eLVi7TXA08Tz0EQG/juUWw7c\nCXzb3U+qsZ+IiHSGUW2DV+JRNXxjol8ZIq49QbRB68XvdupDVxtcRESGQjF8FGN4UWGRcL6/dYg+\njcV5+1COLyIi44ri9yiOgzeqcJ7T3f0vI3FOEREZ80Z9LhsxRj0L2A44iOhH3ild0yPAlwpJkPpq\nxc42W0+2AM1FFxEREZEmKDGUiIhIByp0Sh1IVB3JA00XpcGwNSqWFzrPrgG+AZxe2Hy4me3m7tcN\n8pKuIBZ3zEzv5xKdcU0tSgXeDxwBbE1kUK9ld+DC1DmYO9HOTd9/IdGRuF065umUJrlU8xKi862f\nmGjzV3df3OiFu/t84Ggz+yJRuW19YiKNExXXFgAPuPuKfL2NVKsREZHxRTEcKMTwRg+e4v0NlCqu\n9QPbmdkW7r4g75di7GRiUG+Zuz9T4XBPERVonk/c+7T0eS+lgbp7gRuIxBt3uvuTit8iIp1L8Ruo\nE7/TZNgpwDFEnJ6UNh2dtleN+ynGTiHGO5ZWi7XFz939b2Z2CTAn3cMEYCnxrPAIkVTifnfvHcEK\nrSIiMsYUJpUeUrbp0tTOnFKevKAQ008iJtEeU9i8gZm9wd1PGeJ15eriRzIwmdOz7v7tBhaSnEi0\naacysMJoJQcTVct7C/3oPwFeROlZYhLwHuDz1J/s+9Gy97e6+wM19n+ASBgxo8K2XiJ+Pw7cCPyN\neL66R21wEZHONQbb4Pm6cvzeh2gj577qBe5+XgNtz3bqQ1cbXEREmqYYDoyBGF7BOkT/xgXAWcDZ\n7n57o9cnIiLjm+I3MAbGwZuVj5MSYfSrH11EpPOMhRhuZpsDhxHz1vZJrzkZUl6TtQh4sZkdCfwF\nONfdH6lx2HZaT6a56CIiIiLSFCWGEhER6UCps246sFH6aDKxeOLytL1qZvLUoXemmV1FZE9fRTxT\nvN7M7nX3Rc1cSnq9FniU0kKSLYnOuCsbOUhhocv2wL5Urrj+CHAe0Sl3Ye4U8yTd291m9iOig7OH\n6JR7kZm9hcj+vip3gqYOtW4iM7wBryc6RVcSHXr/avxnKEkLic6os4868UREOpRi+MAY3sT1QgyS\n3QLsRsTvqcSA2gIz2wCYDTyXGGDcBjgN+EX5ZCB3X2Jm3yWqr2xMDIjeTgzS9ZMWpbr7U8WTK36L\niHQuxe+G4/ebgJ3zaYBTSb9RhWuYSCxI2YiYhHMg0Ub/IvBYI/eR2t8LgOPq7KcFqSIiHSpNAt0U\nWK/wcT/RXsyxpNp3e4EvmNnHKFUUBfiImV1eXJw5iOtyM5sEvLNs0y/ydVf6XmEC77aUJpaW6ycm\nmJ4GnJCTLJX1o19oZj8FPl343iwz+xkxMXZFfl5I/egTiX7zLgDtjowAACAASURBVOC1Zee7vs69\nPmRmHwT+A9iCqIian2VWAQuB2939vrLvqQ0uItKhxlAbvPzYbmYTiMrpEGPRAMfm6670vXbsQ69E\nbXAREalHMXzMxvCH03FFRETWoPg9NsfBG1VtLEFERMa/MRLDdwB+UGVbLm40N/0H8ErgzjT+/nd3\nX5l3bsf1ZJqLLiIiIiLNUmIoERGRMSh1sh0CLKbJSmBN6AMOoJSRfApwVwPXljvNfk0sIMmVul8M\n/BU4v9FKnoUOtEfM7DZiEgpEJ9pOZjbN3Zc2cU+nAm8lnnGWAf8gkiyd6+73lt1HxWt099PM7Axi\noUn2baLy+o9yJ1669lXpWP8NvIJSVZlbgd83cd1rUDVUEZH2pBg+ejG8AY8TCS+KE1ffZGYzieou\nuwIbFrY9CPyiyvPC3cDdg7gGEREZgxS/Rzd+p4ky04EPEBNlVhGTXY7Pk3jSxN21iQUsWxPxfO/0\nmuN3P/E7NT0hVm1wEZH2lJI2fYho7x1fa4LqEKwENii87wIuauDachKmM4AjiRgHsBPwn8B3CnF+\nMD5FxM/sGeokWij4DbGIJFsI/B34sbtfUtyx2jW6+9Fm9v+ISarZ24h4fWROCpWeP1akY53PwN9y\nBQOTS1Xk7hcCFzZ0ZyIiMuZ1Shu8ihcRbVnSdV1DVCBvRFv1odeiNriISHtSDO/sGG5mXaAkjiIi\n7Ubxe3Tj91gYBxcRkfbUITH8qgqfPUwUCXoEmEeMRW9IJGDqJZIdnwR8Fvhxhe+31XoyzUUXERER\nkWYoMZSIiMgYkCZPHAC8HDiUUlbzPxOZwh8fhtP2EgNMXYATA0YbAXfW+V7u/LoAuAl4Xnq/FZEZ\n/fxmJ46k/a8GDiOyo0NUR1kfWFqvmkqho/M8YkHLme5+bYVzTYjdva/SNRY6Kb9FVE97CfEbzQK+\namZ7A78D/mFmmxGDb0cBBxOdepPSoT7u7s80+htUuSdNpBERaQOK4WMjhte5zm4iRs8BlqSPc3/I\nQem/SnY3sw3d/ZE6x7d0L6rCIiLSJhS/x078zu1wM3sX8e+Qq6adAVxlZlsAmxOTffYG9iAm+VTS\nBexpZlc3+7ygNriISHtI7bv3En2y8yj1xz4MnEVMsGy1ZUTsznrTuc+r871chfRE4GWUkjhNJp5B\nvjOYCbyFhFMfKtv0O3e/p9Z3C4mzvgu8APi5u/+mwjkmAf3u3lvpGgvX8HliEux6eRPwWjPbg5gI\n/CMz2ws4Ang1MLPsUF9y94W1rrnCudUGFxFpM53cBs8KY9AfJpIz57bvj9z9yVrfHQ996OXUBhcR\naQ+K4YrhRYrfIiLtQfF77MTvsTIOLiIi7aHTYniam/aEmV1EJKj6HfA3d38gbV8beBZYF3gP8OZ0\n/BVEIqpPmNmt7n4xjI/1ZBoHFxEREZF6lBhKRERklJjZXGJByGFEJ15XYfMqIk5PdvfHh6lq5tbA\nk8CmxIKNpyh1RFVV6Gi6i8igfkD6/lrEwNN0d188iOu5kshoPye93wHYDLin0c6tVEFldaXzNAHG\ngD4Pq6p+mVKHoLtfZWYfBP4GbEF0Xk4jOu1eRize6U6fr5W+PgFYBHzO3RutKiMiIm1IMXwNox7D\ny6VFrOsSv9FcYC9gT2AnIn7n4/Wk82T9wKVEhbhTG5kMq0E4EZH2oPi9hjERv9Nk2A2ATxCTjCYS\n/x73AMcTE2jmUvu36gcuBi4CTtNkWBGR8cXMDgfeRcTA6VV263H3WwsTNVvpIGLBxpT0fiVRvbum\nQjw9H7iRmASb7WBmm+aJrY3KCZnM7OuUkjEBLAXe3+hx0iTUg4vHJZ6NVqYYvqLO93vT66/M7H6i\nDZ3nHRgxKfeLwJeqHQL4rbt/rdFrLpxbbXARkTagNnhJYSHoq4iK6Xkh6JXAyY0ep5370EVEpH0o\nhpcohouISLtQ/C4ZS/Fb4+AiIlJPJ8fwfAx3P7h8W0oa9XR6+2/gK2Z2AXA2saYLYo3XW83sCi8V\nR2rr9WQaBxcRERGRepQYSkREZISY2cbEQNPLiUUXlRax9Kf/cqfeNGht1a3UUZY7jYrPAnOIbOYN\nSYNWVwMPAZukj58L7EJkQG+o87Gwzw3Ag5QWpW4KbGdmFzdz/ylTurl7/1AWAbn7XWb2auB7wP6F\nTdOp/Ax1D/B94KTBnlNERMYmxfCqxxmTMTx5C/B6YEdgZoXtEwt/3wqcA5wJXKJJNCIi44Pid9Xj\njMX4/V9Ecot+YlLsBOBzdb6j+C0iMk6Z2e7A+4CXAhsycBFjNZNgQCXQVlxHMYYXJ+FOBpY0epyU\nyOkfRB9zd/p4XeAI4HvNJLNKx+omKp0XfbleMqdyKYZ3eVRD7a37herXdIGZHQX8BFineIoqX+kl\nKqJ/ZLDnFBGRsUdt8LrH6gKOSR/l+z9mEIkg1IcuIiItpRhe91iK4SIiMuYoftc91liK3xoHFxGR\n1RTDq17PBCJO9qfkTV62vdvdLzezY4GPEWPSXcT4+47A9cVzaT2ZiIiIiIxXSgwlIiIyTMxsKlFN\n/BVEB97mdb7yCNAHbFz47EYzm9Tsoo5aCh1l9xKTQfL7TYlFLXUVOgNvJwahNknHmQPsR2R+b1g6\n3hIzu4noCDSis25nYAaRib4h6bqGnC09dQ5eb2b/AbwOeCdxf7PTLkuITsw7iYosf/QmK7yLiMjY\npBjeuLEWwwsLarcFDqyy20PAecRC1PPLK9OkCUL5klSBRUSkTSh+N26sxO9C3M7JqVYQYxZ9RDXz\nIsVvEZFxyszWBz4AvAbYhvrj13kBRXfhs/vMbJq7L23VdRXiyWUMTAzVzcAESFUVYvilRHXQ9dKm\nCUQl0e8N4tJ+C0wpvL8f+N9mD5Kua8iJtFI8/52Z3QB8iXgWm8jA32wFcf9XAV9196uGel4RERld\naoM37X3AXOI3mAD8nng+aIr60EVEZKgUw5umGC4iIqNO8btpox6/NQ4uIiKgGN7E9dRL3piTS51J\nFJfaJ72fBcwDri87ntaTiYiIiMi4pMRQIiIiLWZmc4HTgefU2XUJ8C9iMcS1wJXAl4E3ACuJTrYH\n3X1FMxVPGrzGLndfZmZLiAWgy4lOvO2Am+tVKS90Bj6Urv3FROfZRGJArdms9F1EJ+Y/gf8EpqbP\n5wEbAE+WZaYfdu7en36nhcAPzOwEYF+i03Ixca+LgfuIf6fekb5GERFpLcXwcRHD83nOBT6a/n6a\nGGQ8EzjX3RcUv1A+gaaV/14iIjL8FL/HRfw+C/gPBia5UPwWERnnzOxw4FQaG69eTEyovBL4A/Br\nBsb+h9x9ab2YOohr7Hb3J8ysl4GLNfYH/mxmPe7eW+37hVh6PTEpdr3C5m3TPg1fr5ntABxW9vH3\n3X3xaPVNe1SC7Xb3+cBrzawHeAdRDfbfxDPPQuIZ5hp3f1b96CIi7Utt8Obb4GY2G3gLpWeJp4Gf\nufvyUYqJ6kMXEelAiuGK4YrhIiLtR/F7XMRvjYOLiHQgxfBBzWWrqnCu+4kkVDkx1GQimVXLzlV2\nXq0nExEREZExRYmhREREWm8ZlTvxeomOqKuJzrubgAeIStmrUkfQE2nf3BnUUMb1QbD0+k9g98L5\nDiIW4zTE3Z8xszspdQQCbGJmG7j7o01cTz7/P4nfY+30fjtgC+DWUVrU0l/4u486VWPUiSci0vYU\nw9s8hhdi9yXAx4B/uPv15fuZWTfQrwk0IiLjguJ3+8bvHIMvSK9XAOcAZyl+i4h0hEVUH6t+lphA\n+U+iuub1wAJgeUostLhs/ykMj5xM8W5gp8LnLwE+2ehB3H2hmc0nEkplM81sJ3e/qd73CwmovgGs\nVdh0t7t/J51j1Pqmi5OC03WeUGd/9aOLiLQvtcEbbIMXFs4cBexG/EY9wGnufn46x2iOf6sPXUSk\nsyiGK4aLiEj7Ufxu3/itcXARkc6mGN78XLZGLAaWUrrWKcCqVhePKtJ6MhEREREZS5QYSkREpPXu\nIzK370xUMb+B6DC7HrgXeAJ4pnzwxsxmABult5OIxS+3QeszmBc6vq4A3gd0p/f7l22vqpDN/AHg\nQWDrtGn99PejjWY8L9zfzcRvtEl6PwvYwcz+7jUqr48kZXEXERnXFMPHSQx392eB4/P7VE3N8z0N\n1yCgiIiMCsXvNo3fhbh8n5lNdPdVxe2K3yIi497llCaI9gKPEvH7ImIy7N3A4+X//zezzYH1yo51\nA7Q+VhTi4SUMTAy1ddn2qgrxeT6lxSgQ930AcFOtGJ629ZrZHsBLi5cHHNPM/Ywk9aOLiIxbaoM3\n0AZP2/rMbBPgvenjCcTClf9p/q5aT33oIiIdRzFcMVxERNqP4nebxm+Ng4uIdDzF8CbnsjVwru40\nZr4BkdRqBfEbPZ2eA7pGKrmixsFFREREZLQoMZSIiEiLuXu/mX2MWFD5L+BxosOp5iIRd3/KzHZM\nb/uIDOb3DOvFwi3pXBOJCiVbmdlG7v5wEx1WDzGwI29dYDY0l/E8nW+Vmd0A7Et0LhrRITqLFnYM\nDsVon19ERIaPYvj4iuFmZpBm0aiamojIuKX4PT7id7qWbiLJhSt+i4iMf2mC5ueAjYG/E4mTHksL\nHGt97z4zm1328RoVtlvsYmJCbDbFzHZ19+ubiJe3AE8TsRsiQdQWUDeGdxHPDz+ilFQK4Fp3P6XB\n6x9x6kcXERmf1AZvuA1uRPv2w8CWlJJD/tzdrxvMzQwH9aGLiHQOxXDFcBERaT+K3+MjfmscXESk\n8yiGD24uWy1pbkEPMD191AWsIhJEQcTZEaFxcBEREREZLV2jfQEiIiJjjZntYWbHmNlVZnZw+qy7\n3vfKXOjuf3T32919Ub1OPAu5MjpEx9TTwNS8vcnzN2ohcGv6uw9YGzgwva/5nFDo0HoUWFrYtB4x\n0NasfL4rgWWFY+wEzMnnTL/VWma2Sfq3mjiIc4mIyDikGK4YXpRn0gznOUREZOgUvxW/M3fvc/d+\nxW8RkfZgZkeZ2flm9nSa2EqajNmM49z94+7+V3dfUC8pVIpL04lJqUXr5u1Nnr9RdwHLyz57S3qt\nWYipENdupTQxFSIW14z/abJtn5kdCexW2LQK+HLap+Jvnn6rWWa2u5kdUus8IiLSOdQGH/42eIrf\n/Wa2K/C69HEPUQn+l2mfir95oQ2+sZltU+s8raA+dBGR9qEYrhhepBguItIeFL8VvzONg4uItBfF\n8FGby1bP4cBLgZVEvH8a+FPZtYiIiIiIjFs1J6qKiIiMV7ljLC1yXAvYA3gTMTA0tbDrwcAFzR6/\n2Y6ldB3bU6r4PYHImv7IYI7XhCeAy4mFn3kxzWHA7xo9QMpM/zTR+dhPXPvag7iWfI//JLLi52zu\n2wBzzewhYBNge2DP9N/+wIuA8wdxPhERaUOK4asphouISNtQ/F5N8VtERNpKWQyfBbwe+ACwXdmu\nRwDHNnv8QcbwQxk4CXUlMH8wx2vCXcDdwNzCZ68gKpA3xN3vM7Py5FLTK+5c+k6+n88AxcnGV7r7\n6WbWXZxEbGbTgI2BecABwH5EbO8ys33d/aa0UEYTY0VExjG1wVcblTZ44X7eRrSre4l7/62732Jm\nXe7el/c3s0nAOkQMz23wfYBuM3uluz+q+C0i0hkUw1dTDBcRkbah+L2a4reIiLQVxfDVxtJcttXS\nv08X0J9+m32BT6bNuajhj9z9yaGcR0RERESknSgxlIiIdKTcMWZmmxKVvV8N7Jw29xKdUhNJ2c6L\nA0OtVhhEepZYUJMHptYH7hiu8wK4+3Iz+zvwbkoLS16SttW957TwpI9YRGrEIpwpwHPKtjdyLf3p\n9V4zuwfYmvh3WAt4J/Bm4t9oTtlXD0SLUkVEOoZieFAMFxGRdqL4HRS/RUSk3RRi+F7A14gkgZMr\n7LpT2r9mpdOhKMTwxZQme0LE8XOH67wA7r7YzM5iYGKoLdK2uvdsZj1pv0X5e8m2ZdsrffftlJ6b\nAFYAb09/TzSz2cQCln2B5wE7ArMYmDzLieRdNxHzA4bt30lEREaf2uBhNNvgZrYP0a7uI+73FuD4\ntLnbzNYh2tvbALsDewO7MrAN/iSwG3A2EdeH7d9JRETGBsXwoBguIiLtRPE7KH6LiEi7UQwPoxzD\nu0mJnwrv3d3zZ33p85cCXyFidR8Rq28CfjqomxYRERERaVNKDCUiIh0ndRjtSlQ3PxLYMG3KHU45\nPjqwo5nNcffHhqsKSOGY04hFHZPSue8BZhJZ2FvCzCa5+4qyjy8HlhBVUHqB9czsYHdvJLN9vva7\n0+sE4nfMC3P61/hG5evqIhafzgFmkLK7p1cHnl/j67s1cg4REWl/iuGK4SIi0n4UvxW/RUSkPZlZ\nDxG7P0zE8q4au69jZnNTBe7hjuGzyzYtA7YC7mrVucxsmrsvLfv4ZOBTA3ezj7n7sQ0cMsfou4jf\nMssVX1dVuY4e4HNlH18ETDWzjxGJoHYjnq96qM6A/WB4k3eJiMjoUxt89Nvg6d/gA0RF9L50nFOI\nhI4HE4uL9iEq0G9Z4/wzgXnA2cO56EhERMYGxXDFcBERaT+K34rfIiLSnhTDx0QMn+ruzww4UCEG\nm9l2wAuANwIHFI7VDTwMfMLd72vg+kRERERExg0lhhIRkU60H/ADUhVzojPKKGU4z51pq4gFkgcA\npzL8VUDmUcru3kVkd3+m5jfqSAtHpgEbENXHDzSzb7v7I2khqLv7o2Z2EXA4pYoprzOzK919Wa3j\nu3t/6hidlD7qITrcFqTtNTs+zWw9ogrL9kQVlr3S3xOJ3z//HkW9wKXAmcBf3f22er+DiIiMG4rh\niuEiItJ+FL8Vv0VEpD29C/gOMLmBfY2opPpJYvx5OJMPHVT2/nFg4VAOaGZTiAm/c4lnlxeb2dvc\n/cZCpdKbzOxRIs5n7zCzX7t7zcm47t6XnhPKf8t70vZqMfwjpGqqBfOAi4mFLvUsSvv+xN3PaWB/\nERFpf2qDj34b/CDgiPR3N1HlfW/glcRio2K7O//7ZMU2+DnuPr/mjyAiIuOJYrhiuIiItB/Fb8Vv\nERFpT4rhoxjDzWxr4O1m1k8kpHqIGNfegiiK9Fxgk3TNxVjeBZwBfHY4C1aJiIiIiIxVSgwlIiKd\naCqROR2i46yb6Hg6E/g98GbgnZSyk7+Q6MgbFmbWnbKb9xCLOZYTC0Qmu/vywvaGjkXc33pElfRd\niUGu3YFNiQ7L+4HjiY4xJzrvTgJeQanj7BCiw/O8eudMi1p2S29XEgtKH0zXU7WzzcymEr/zVxg4\n2JYVn1P+BZwNnOXul9W7JhERGbcUwxXDRUSk/Sh+K36LiEh7msGaCQNXATcDJxBJi7YvbDuUSAw1\nLMysx917KVUXzXrcfXFhe0PHAmYDWxPVwg8EdgHmUJrw+9/EgpIJxHNKL3Ay8InCobYB3gZ8u945\n3b3XzHYq+/jOdD1rxHAzmw68p8KhNqjwWbYcuA44yd1/XO+aRERkXFIbfBTb4GY2GXgTMIXS4qFJ\nxIKaireF2uAiIhIUwxXDRUSk/Sh+K36LiEh7Ugwf3blsT6VreUM690oinq8+JGvObbsDOIUYB7/X\nzLrcvR8RERERkQ6ixFAiItI2zGwSsTBjfaIDaB3gIXe/u8Hv506le4G7gI3Tpv8DfgOc5+7PFBZn\n5AUg+0N0WLXkRsoUjjux8NoHPNboec1sFrAjsB2wL7Bn+ru7sNsqIvYfSXTkeeHYFwCXEdnsIbKt\nv9XMLnL3VTXOmzsZ100fTSA68Z5K114rA/vKdJ+VFqQ+APyN6Fy9wN2Xlp23Kx1fnXkiIm1AMbw6\nxXARERmrFL+rU/wWEZGxzMymAXOJiZ6riFh+i7tf2OD3cwy/FlhKJIiCiDknAse7+0IzO5CBiaG2\ngkiA1JIbKVM47qSyTYsaPW+qPvoyInbvQ0w4LT9edkh67S8c+4fEJODp6f0E4H1m9j13X1HjvDlp\n1dTCx33Ao+naK8XwtYl/v1r6iOesU4EfuPsjZeftTscfzsq1IiLSAmqDV9dmbfCJxEKi8usqUhtc\nRGQcUQyvTjFcRETGKsXv6hS/RURkLFMMr67NYvhi4BoiMVQ3A5NCQcxte5pI1vX/27vzaMvusk74\n36duVQaSCJhACEPCZMAACk1ACDMRwbe1ZbAVVGhE2nZeurrftoW2HWim7vXS8gIK2LbLF2VQBAWR\nUYKLMAdQkDBLGMIQSUICGWt43j/2PtxTJ1V1z711q+ruyuezVq1zzp7PzVr53t9z935+H05yfpK/\nmf9buOwGAODGSGMoALa8qrplkkdnmLX7zCS3zeqs2J+oqs8keUGS87p71/66f88Vlb6S5O+TfDnJ\nC5O8b2H7f0xydZKbZCio3bmqvqu7P72fjuWb5d4Zupt3hgLXh9ax74MyFCQPZPt4zNclexcIu/vy\nqnplkrMydL/vJE9I8udJ/jq5Ybf28fPuqrpvkodltbv7Fd397rV+Vj3MkP7JDJ30r0vypiRvSPKW\n7v7S/LazP74Nu3Ur5AFMgwxfigwHYEuR30uR3wBsOVV1VpLfyHBj6i0z3EA5+3/69VV1eZL/laGx\n03X7m1l0Lk8+miGnz0jyrCT/Z2H785L85Nzn46rq+7v7bYc4w++58PmCdez7M0n+yxLbXZ3k3cne\nDae6+6KqelOSH8tqs8XbJ/lvSZ6e7DfDd1bVkzPcpDyzq7tfur+fVXdfPGb3mfOLMzSTelOS3+/u\nvb77rBFUhmZWva//vgBsLcbgS5nMGLy7r6yqC8ePs+aTVyR5R5LXxxgc4Kghw5ciwwHYUuT3UuQ3\nAFuODF/KlDJ8Z1X9Y5L3JTkuw9/Qj0nyiSSfTnJxhuZSn0ryySSXjOepcf9D9fMHAIAtTWMoALas\nqjohyY8n+aUk98je3cqTYaaPu47/zk3yiqp6WndfcqCC2/jHoN9PclmP3cvHIlGNBb3PJ/lIhhnD\n92R4gOahGYpM2zIU9zbze84Kj9+R4WGSneN33Tau3+cDOrPrHr/nP+zn8J9J8uYMs528o/cxa/nc\nMV6W5PuSPDFDUe64JL9ZVdd091u6u8c/ilWGetqeqrpFkv+U4Y9qs5/3y5KlC27vTHJmd//z4jWN\n33/2AIs/vgFMiAyX4ZHhAJMjv+V35DfAJI358NwMM3suzqY5c0yG2VOfk2Fmz8d294VrZPjFVfUL\nST47y7RZZoxZeUGSbyY5aW63JyV5W4a/Qe/MJprL6JssrJpl+I6ea+K0sO/se74h+24MtTPJx5O8\nKskLemHW8IVj/FqSs5PcaW71r1bVN7v7OWOGz3632DPepHrXJM9YOOTfJfvO8LlzfSDJ92a44fXF\n3f2axe0y/Kx3jRmuERTARBiDH31j8LlzXZjhYZmPJnldd390cbsYgwNMlgyX4ZHhAJMjv+V35DfA\nJMnwoy/DZ7r7vKp6dIamUFd29xfGY5+U5LruvnYf+2gIBQDAjZrGUABsZT+Z5H9m7wdLrsvqzB67\nkuzIUPg6PslTkpxRVf+6u68/0IG7+5JktYg1FolmhaJvZOg+fr+5XR6W5A/nttk0Y0HspAzFs2Qo\noH0jyVXj+v0WDmfFrR5mKr86Q+HxbzI84PLW2fecGYtl22YFzNkxxp/DN6vqBUkenuQ247H+VZIX\nVdWvdPcb5/8oNl7zryR5bIafS2Xoyv7KdXz3y5JcNndtPfffw0MsANMlwyPDAZgc+R35DcAkPS/J\nT61j+7skeWdVnd7dVx1ow+6+MLlBhs8y4wsZbiS919wuDx5fN/3hih4aLJ2W4XeSby/O0JwqvZ+m\nUOO6WYafP9zTm2S4ofcNSV40+54zY2On7fM3xs5l+Feq6neS/HFWbz6+SZLfraE51TPG3yd2j8c6\nLclLM8xcO3N9btgoal/X+4zF7cZr2zP332NTG3ABcNgYg+foGoPPXe8bk7xxH9dmDA5wdJDhkeEA\nTI78jvwGYJJkeI6uDF+49q8l+drC17limX0BAODGqFqzVAC2oKp6bJJXjx93Z3jA4v0ZikQfSHJx\nkh9M8mNJHjiunxX5fj/Jc7r7S3Pd09dz7srQWf7lGYpZ25J8Lsl3rfdY6zjnyUnek+SO4/l2Jjmr\nuz+7xL7bxmLgrbr7qwvrKsPPpg9UEFzY/v9K8poMRdLZz/6qJH+f5PVJvjPJ3ZN8f4YO7bMi6O4k\nT+3uly31pQE4KslwGQ7A9Mhv+Q3ANFXVc5P854XF30rytgwzf/5Tkl/IkOM3W9juo0me0t0X1AFm\nGT3AuSvJ72W42XNmV5Lj1nusdZzzzhlmAN8xt/jh3X3eEvuu9NBc6h6971nDj8nQcGnNRkvj9r81\n/lt0SZK3JjklQxOu0zPO5jrnJd39c2udZ+5c357RfJl9ANjajMGP/jH4eK7ZrOnyG+AoIcNlOADT\nI7/lNwDTJMOP/gwHAADWR2MoALacqvrODEW7O2Z4kGR7kqd397P3se0JSZ6d5N9nKOLNOo0/s7t/\nc9bBfQPX8D0ZHt64RVZnCzmnuz+wkeLgEuc7NsMM5bfM8J33JPme7v7UMt9hfpuq2p7h57DuB0Xm\nioK/muTXktwuQ1FxR1Z/tslqgXPm+iS/3N1/uJ7zAXB0keEyHIDpkd/yG4Bpqqo7JvlE9m6S9Obu\nftQ+tr1Fhqz93oVV7+zuBx9Ehj8uyZ9n75x6cnf/yUaaTS1xvpMyzI46f75HdvdbNpDhx2bI2F0b\nyPBZk6nXJvnhDDfDLutl3f2k9ZwPgKOHMbgxOADTJMNlOADTI7/lNwDTJMNlOAAAcEOLs5MCwFbw\nxOxdxHtFkufVYHtVbUu+/fDFVRlm5f5/xn1ns3k/uarO3kgRb/TlJB8e38+6nD98/Fz73OPgnJXk\nyvH99gwzuW9Lhtbsa+08v0137+ru3Rv57rMCZXf/XpKfS/K+rD5YNF+8nP0OcXGSP0vyIEU8ACLD\nZTgAUyS/5TcA0/Q/s3dTqIuS/Nsxw4+tqpUkqaod3f0vYMV4/gAAHfxJREFUSR6d5PyFY5xTVU88\niAz/aJLLFpb9+Ph6KP4O/a+zeuNtklydsSnTBjL8uu7eucEM3z2+PibJ7yT51hq77M4wi+yTNYUC\nuNEzBjcGB2CaZLgMB2B65Lf8BmCaZLgMBwAAFmw/0hcAwPRV1XFJbpbkmAxFr1sn+efuvnSdx5l1\nKb//bFGSq5K8vLuvG5ftmm0/9/DF5VX1rCSPS3Jmhk7kt0nyy1X1y909K5Ctx5VJ3pvkB7JauHto\nkudm74LWQZn7zqckuUOGTunHZKjNfeJQdJNfVne/sar+LslPJ7lnku/P8LvDRRkKnZ9NckGS93b3\nJUfiGgE4ODJ842Q4AEeK/N44+Q3AkVRVN01yepITMtyQevck7+ruz6zzOLM8O3th1Z909zfH97Ms\nT3fvHF8vqqpHZ8iVY8bVK0l+q6re3t0Xr/c7ZbjR82NJHjK37D7j664bbr4xc9/5jOzdDGuWoSuz\n31UOt+5+RlU9L8lLMmT4mRl+n/lWkm8k+UKSd2b4HevCI3GNAGycMfjGGYMDcCTJ8I2T4QAcKfJ7\n4+Q3AEeSDN84GQ4AACxLYygANqSqTkzyvRmKO2cmuf3477QkX0/y+ar6YpIXJzm/u69eqyjV3V1V\nd8hQyJt1Vf96kjevcS3bxuP/v0l+M8mtxlWPSHJOkjet98GQ7r6+qj4wftyeoTh4r6o6ae7hmoM2\n14X9WxlnNh/NursfkSLenJ3d/ZKq2pHhgZvrkpya4b/Ppd29aQ/3AHB4yPDNIcMBOJzk9+aQ3wAc\nblV1apLHJPmxDDdynpyhMdS2DHl3TVV9I8kLkvxhd1+6Vo6OGf6gDDezzuxK8uw1rmVlPP5fJvnx\nrM7ieYckT07yzKraMWsktYzuvqqq3pG9G0N9Z1Wd1t1fWfY4S5xnluGX7Wf9EWkKNefq7v6pqjo+\nyU0y3Ch89ww37n5m7kZlACbAGHxzGIMDcLjJ8M0hwwE4nOT35pDfABxuMnxzyHAAAGBZ29beBAD2\nVlWPSvLSJC9P8ltJnpCh+HZahoLXzZLcO8mjk7wpycuq6t7dvaeq1sqeyvBAy6yo9c9Znb18f2bF\nsNcnecf4fmeGgt5PLPet9unTST43XtPuJLfM2H1+ie+xXvdIck1Wv/f7quomm3yOdRuLq9XdO7v7\n6u7e3d1f7u6vKeIBTI8Ml+EyHGB65Lf8lt8A01RVT0/yviQvTPKwDDfCnpTVv89WhiZCt87Q1Okj\nVfWT3b27qlZueMS9bMveN4Z+M8mJa+wzu2n0eUm+uHCsp6yx74G8O3Mzs47H+3fJ0IzqII67Lw9e\n+Py5qjp5k8+xbnMZfk13Xzpm+Ye7+2OaQgFMizG4MbgxOMA0yXAZLsMBpkd+y2/5DTBNMlyGy3AA\nADj8NIYCYClVdVxVPb6q3pvkb5M8PsntxtWLBZ3tC8sfk+SVVXWXJTqW3yvJpXOfP5GhKLdfsy7p\n3f2lJK9eWP2YqjpxPd3d53wtyQXj+9l1nzu+1gaOdwNzBcEzkhyf5Nrx81WzrvibcZ6DMdeFHoAJ\nkuEyHIDpkd/yG4BpqqqbVtXzq+qbSf57hsxZtjnSrZP8cVU9aoks/aGs5mWSXJzk6gPtMJfhFyR5\n1cLqO1bVqd19wN8D9uPjSb6ysOzR4+umZOtcg6k7LKy6ursvPQQNqNZNhgNMlzG4MTgA0yTDZTgA\n0yO/5TcA0yTDZTgAAHBkHfHBAQBbX1WdkuTXkzwjydkLq7+c5JVJfiXJQ5I8KsnvZyjAzQp6O5Pc\nKcmzq+q24zH3KoTNFayOTXKLJLNZtE/r7p3reLDjb5NcnmTHeN4TMszGvhFXJXnv+H52fQ9Kkg0W\nBvdlViS7Znydfc9aWA8A6ybDk8hwACZGfieR3wBMUFWdmeS1SX4+yYkLq3dnmM30L5L8UpL/kuSj\nSa5f2G5Hkj+qqrPHYy5m+Cy7js/ef+f9zu6+pqp2LHm5z8oNc+8Xl9x30SVJPrSw7Kwk2WCjqX2Z\n3Wh7zcLyWlgPAOtiDJ7EGByACZLhSWQ4ABMjv5PIbwAmSIYnkeEAAMARtn3tTQC4MRsLbC9L8shx\nUWfoQv7+JP87yV9197cWdntrVZ2R5LlJfjRDUW13hlnCz0/yvAyFsfli2Kxg9cXxdVY4u1WyXOGs\nqla6+9qqelOSJ4zH35HkUVX1t+stvnX3rqr6UIZO9dszPFxyVlXdprsvrqo62O7n3d1VdVyGQmfG\n692T5MOz9QdzfABuvGS4DAdgeuS3/AZgmsYbUd+V5JSFVVckeXmS3+nury2se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lVvVyqVUGTn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d4qCiGEEEJc78zuAMGdewlu30Ng+26i1TWjtzPdwGhowWhoITLYug471uwMbL3h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\nTcE2rC/fJsdhWi0kfb2DpC3fQanvtOr5tnyLb8u35P3lD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vvBwBKHIiIibe454J7091jgPOCLwLfc/b60/RFi4EwvsCaD6HCrxMzWNLPtgfcC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\nswPN7JdmNht4DPgV8X1Nr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q7WnU+msegiIiIi0iwVhhIREelQaRLGykTCrJtIEHUDP3D3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\n+S2/5TfANFXVs5K8L8kLk3xPhgdhj8vuf5+tDE2EbpOhqdNHq+rHu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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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hR0Xt26dfHBBx8gLS0N27dvx6xZszBu3Dg88cQTePrpp/Hhhx/i+PHj+OSTT6BWez9P2Ww2jBo1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\n8u1fxO/iiYiIrlqi6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BypybgLxuMu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RERGRo5tt8RIIhzoFa+vbhjzFtFvPR4c/2QNNA/0pDC0JzoOBTplpkQAnZ1bouDXUqfVcJOQp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ER0MtGNzkDsfTcg5re/gnN7ji8k6v0voVaFOSWcqsKxYQccG3ag4p6nYVo4A9ZLFsB09jQe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\nZkLZKx2sTtP0wYQQQgghhBBCCCGEEEIIIYQQQgghhBBCC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cpFFxEREZFaqYiAiIiINLvxwKT0d05ceQYqJ6sWBuRmAr9IH+fVSg82\ns726uM4oolJ7CzFgtx7wJUortbwMfBv4OvBHd7/G3f/q7n8A3gZ8nlitZQwxgLc38MV8W/V9ZRER\nkaEtxeMZxCTU6e7+Tne/yN3zBJQXgTvT33mA7eD02qiBsM8DtwLnESvmluq1AAAgAElEQVS47UkU\nb4SY6DqCKPR4NfAP4DIzOzHdv2K3iIg0jbQi6UKivf034FR3fyxv7y4uFhJYLkiveUxj/3x4+THu\nvoJYkW0ZEfdbgfFmNqHGW87nvDrfRnrdDRhb4zlERESGm82A4grirxGxvat+9Lwa+d8p9aNnm6dV\nTuvxW+B84GRgd2CtCvtsC/wQ+A7wiJn9qav7ExERGe562If+pvRacx+62uAiIiKNNUjGwVcp9NFv\nRhSQyEUlXnX32ZqEKiIizay/x8HLjs9568fnj4A/u/uKCsUiZxB9+vnzHYEp3Z1fRESkiYwnii5D\naT7Zs9Cj+WSHmtnedV5fuegiIiIiUhMVhhIREZGmVBhUez2dE1dmu/tLhUGzLrn7ZcBdRGebEx2C\n7zSzSpNS2oHnCu83ISrCjwYWASe7+8/d/YVcId7MWsysxd0XAT8DTs23TyT3HGxme6pDT0REmtRt\nwGnufg+U4mba9mraDqW+j9dDaVCupwrXWEysWL6ybJdXgdnEQF9e0bw9Xf8MM/uxmY1GRESkeeT2\n93eBD7j7Q93tXFRo785Mr2sQ7eH1zGx8eXu40NZ/gSjOnG0BbFi2T1fXzJNp7iDi+sh0zc1QgqyI\niDSZQtw8gegHzxa4+wNmNrLaOdz968Skk1WnBT5iZhvUcP3cT7+4m93K2+UA44CjzOy+4qqpIiIi\nTabePvQDoPY+dLXBRURE+syAjINXsYSI07lPfmS6pnLWRESkmfXbOHiF49vNbEei/QyxOPGDaVtu\na+dz3AW8VDh8C2CrVV/CrLVCMSkREZFhrWw+2XqU5pPNcfcXezifbD3gHV3MJyu/vnLRRURERKQu\n6rwRERGRZpU78hbSebXRMVA9WabQEXdBOkc+34HADnmfQofhi6TK8cTg3YbAOunv29z9z2Y2opgc\n6+4deYAurbD+XdIq7JQ6Ht9tZrkivIiISNNw96VpNfL8vhg324F7iXg5goi325vZFKg+GaXKdXPy\nTF7BvB24HvgisC8wHfgA8Dbga8QzQB70M+Ak4EQNyImISLMoxOd73X1hLYkzFYwHnk9/twBPAZO6\n2X8m8Erh/ZbA5HQfVSeqpCLNS4AH0kf5mWOXtF2roIuISLPI/eBzyz7PE0Db6EYh7t9I5xXOdwIO\nL9tnNYV++vMLHy8ALgM+AhwGfIpYVOFKov1fNA04V8WhRESkGfVjH7ra4CIiIg00UOPgXdyLp3Nu\nmq41Km160MxGdX2kiIjI8DdA4+DFeL8tpQJPz7r7zWU56J5enyXa7h3p32hgmpmNS9vbC/lwIiIi\nzaKr+WRrQF3zyS6km/lkXR2vXHQRERERqdeI6ruIiIiI9C0z2xwY4e5P9Nc1Cx1pY4mBrryy+Ytm\ntmZKPq3F9cA7gL3T+y2BvYhVTYvJrs9TWnEld/p1EAN5v0zv27tKjjWzVndfYWa/J5Jg83PcG4DN\ngYdrvF8REZGGGYgYXoeniPg4jRgwW5tYKeWPRPzt7YqpdxDx/85uJrdcbmaXA98gBufaidVbTgCe\nAC7p5T2IiIjUbaDjdz2rlqfJoR3ESqfrEqujjSAmnM6ucO4ckx8F5hU2TQa2NLNrakxqbSHa7DcB\n+1AqZDEd+A3RrtdK6CIi0qfSBI5JwHbA9kT82ZZI+vwlsMTdl/blPRTi9viyTa+Y2UR3n1d+TBf+\nDOxPtM0B1gSOAH5X4/G/JWLz77srMGFm7wV+TCzMkB0GfIlImBUREelTKX6PJWL4RkT8nkwUNrwZ\naKtWWLEf9aoPXW1wEREZTpophtfDzCwVh9o5nXsFURxqTspja6kx3ouIiDTcYIvffTkOXnad3Eb+\nYOHji8u25eu0pvu6B3gzpSKPWwMtZjaW6Ks/ELjb3X9V63cQERHpqRTD1wKmEEUOJwDrAesDDwJ3\nAU8WiyY3WgPnk10HvJ0u5pPVQLnoIiIiIlITFYYSERGRfmdmawGHAkcCBxEdej8zs6+4+6v9fDuT\ngUWUJrY4pVXQu1ToCHwEuJPojHNgHJGw+pNi4ou7LzWzJ4ElxKSXvPJKCzEIWU0+1xXA08RKbBAT\ngiajwlAiItIPBlkMr2Y+MWA2jdKkkTcRCbG9lgbg7oBIoiGSi1YVecyJNe5+v5l9mRjs2yEdviUx\nOKfBOBER6XNDLH6XyzF8HDCGWAUdYEF3yT/uvsjMHgX2JNrdLcDuwERgbtWLuq9Mf96fXnPyz+S0\nXRNdRESkz6SJGMcCRxH9v+OJFbyLCw58C5hpZj8Gfunu7XmyZh/d1paUVh8l/V0116AwEeYqYBax\n6AHpPHuU7dPdeZxURMrMRpImoxba4CPdvc3d/2JmS4iVWfPqqKOB96DCUCIi0ofMbBQR2w4GdiMm\ndm5GtGchCjuOBi4ws7OB29y9o4/jdzUN6UNXG1xERIayZo7hNcoFGpen9/l6a5S9FxER6TdDNH6X\n69E4eGZmk4CdCx/dkD7PffgtRBzPbepLgE9RWlThIOBuYmHi7DxAhaFERKTPmNkYYrz4EKIPeUtg\nE0qLC0HExJHApWb2C3f/Wzq2rwoT93Y+2UxqmE/WzXmUiy4iIiIiNan6kCoiIiLSUxZaCu+3NLPP\nArcAFxCrlUxJmzclqrwXB6b68t7yfc0nOg7z5JPXActqPY+7LyZWUnmN6IRrBXYxs63SdYq/wZ3A\nc+nvDmLizLOUkmW6u46n15lEYah8jrUp/YYiIiINMZhjeB2WAjPS363pdV+ob4W2WqRBt5XF5KGy\nazwK/J7S88YoYJqZrd/I+xARkeY2TOJ3J4XYenx6zd/vN10dU/gNbiJWVM3vdyHa/PV85/mUVmeF\nWDV1XDf7i4iI9FiK5Z8DHgB+RqzQvSHRf1yMXXlCx/bAWcAtZjbW3b3RcT0lnwK8XHYPk4g4WxN3\nf47oHy/a0MwOStep+b5TAajlZW3w4qrv/wCuLjtsipltV+s1REREapXi90HAr4E/A18nJmLsTGlC\n6kpgA2Bd4KNErPq2mY3qi/hdh173oasNLiIiQ1Wzx/BapSIa44iCjxBFNpYAT6Ttg6W4hoiINIEh\nHr876ck4OHRqY7+VKIYFcBuxkMTIfO5CLluHmW0LvBNYK18eWIcoClWM5Tub2UY9/EoiIiJdSjH8\nSGIhoAuA/yZi+A50LgrVTvQPt6Xt55vZD6DxCwgU+rYX0Lv5ZItYfT7ZtOJ8sjrOpVx0EREREemS\nCkOJiIhIn0mDSx0AZvZ24HTgq8BORGdd/gcxMLdpPq4/bi+9zgTGUloVZdfC390qdNI9CDxe2DQp\nnQdKK6fl/R4uO83a+XrVvneh8/Gx9Jp/u83L7kdERKRXBnkMr0m6/weIlVxaiYGw15nZVOjfuJnu\n5U5gTuHj8cA2/XUPIiIy/A2H+F2Jme1BaaWzVmAW8FA3h+TvczudY+9WxMqx9XznNYB/Fd4vAq2A\nLiIijWdmJwPPAD8kkk27GsevFIf2IsXGPojrua/8hrLP1yUm2FRVaH/fQEwezUYRCb3QwLyFlBx7\nNaXnnnytNzbqGiIiIgBm9gbgL0Tc+QCQJ0+2EzHPiQkkC4kx47a0bSzwBWISzIC1yxvUh642uIiI\nDDk1xvDlDO8YXs/1FgK7p7ftwJqk3DXlqomISH8Z6m3wSnowDk4qbtVCanMnD7n73LSogpvZFDP7\nsJldZGYLgEeIIlq5MFQxr92IPPo/A2cQBShFREQaIsWkfyfasBcD7yViuBNjzYuJgkoLgPuJxQOM\nKNS0kohdJ6XFlRotx8KH6TyfbDd6Np/sscKmDdJ5oPPiS72iXHQRERGR5qbCUCIiItJnzGycmX3W\nzP4JXERM8phAdKKNTP/yip+bAtv0V8JIYXDvUWIgK3ceTgC2TPff7b0UzvEcpcE4B8YAOxZ2y/s9\nS3TEOfG924lVatav8XsXOw6h1OG4Zdl2ERGRXhnMMbxOzxCDhRBxczSliaD90idS+F1eIp4FstHE\nRFoREZGGGEbxGwAzyyudf5CImcvT+0vdfXZX915ogz8G3EspkWcccIiZja/h2vncTiTQ5MIS49x9\nUeHeREREesXMNjCzvwLfAyaXbXZiIsiZxOrfrwNOA26ucKrNzOwnjY5Rhbh6VdkmA94AdfWj/5No\nGxfPkRdYaMgKr4V7eZzORahaKE0UEhER6RUzWytNRPkZ8PayzfOA84CPE+PFk4HjgW8BK4iJnqS/\njzazYwqLAw2EXvWhqw0uIiJDSZ0xfGOGcQyvlYVRlIpEODFxd51GXUNERKQ7w6wNDvR8HLxgLHAU\npX71/zOzI83sl2Y2G3ga+BXxe42rcLwT/fNzgE8ChwOfAs5291d69q1EREQ6M7PRwHuI8e3ywkXP\nAmcTcWh3d58IHAS8C/gyUehxBBHrRgEnm9nO6bwNieVlfdvF+WTrAluka9Uzn+zh/DExn2xq4X2v\nKRddRERERAa8U0tERESGNQc+T3RqFVcPN+AeIjm0I/0zYBqVB6H6hJmZu7cRxZoo3ONB6bXWZ6X5\nwBOF92sAW5jZyOLqMqlC+3WFffP19iBWU+tWWukcSsk2o9M5FhXOLyIi0giDOobX4RVgRtlnOc73\nywpwhWeBfwGTCtfdEJjdH/cgIiJNY7jE79xeb08rnL8jfTyaSG45F7pfzTUfD1wDPF/YtC+wT9qn\nlomlc4k2fk6uaUnXbu/yCBERkfp8GjiSiHPZq8AfiWIIW7n7ie5+ubvPdvevu/vrgc8REzGLjgWO\nhupJqvVIcXUpkYBb9OH0OoLaPMnq7eBNzWxMo1ZpL5xnFpFwm7USz0IiIiKNcBDwA2AHop3YAdwB\nnAhMcfcPufsf3P0Rd1/g7pe5+9eImH9bOkeOWZ8gFUocoOLNlfrQ35Rea4rPaoOLiMgQMtxjeMPH\nwVM7e0diIi5EH8Az6V+3/fQiIiINMpzid6/HwZPpRDGpnOP+N+Bi4ARigahyC4Hr0/nnUWp3jwWe\ndvc57j5f7W8REWkwJ2LNWKIt+QpwCfBuYCt3/4i7n+fuj6X9X3H3W9z9e8BngaeIWNdGxLccNxta\nDLmL+WS5j7yh88l6Q7noIiIiIqLCUCIiItKl3lRTT51ki4AXiUGkEcTg0mXAB919OnAGsIzSINPO\nwAb5+F7cek0KnWO35ttOr2+o8zwriI7HV9I5jOhs27jC7ncAl6e/cyGn/UlV5WuUOxo7iN/1Jhi4\ngUoRERl8hnsMr5W7LydiL5RWgdvDzEYNQEHFNmB94jdrS/ezop/vQUREBjHF75JCe/1oYmXXnIR6\nkbvfU8epbgJuTH+vANYDjkvX6DKxtXD9XYi2d36OuKKOa4uISJOosdBBV56l1E8MsAA4BfiQuy82\ns1YzG5ljtSXufgbwXTpP9lyH1VdM77VCXHyobNP+dZ7nNeBxVr/nXXt+d13Kq7oWLemD64iIyBDV\ny1XF5wEv51MBNwBfAf6fuy83s5YUw8vj93XE6ujzKBWFnEoqnjQQuuhDn97DPnS1wUVEpM8phof+\nGAcvjBssB7YjxrghFpyY3YhriIhIc1D8LunNOHghNv8LyEU0llXYtQ24H/gl8FHgcOAY4GRgJtFH\n70S7fVszG1XhHCIiIr2K4WmO1YPp7TPAN4AT3f0id28rj+Hu7maWFyT6C3B2+ju3cY8se99rAzSf\nrLeUiy4iIiLSpGpdvVNERESahJmtCWwD7E2s1j0B2Ah4hChodJ+7l69EXkkrUTH9RmA3YjDpt8Bf\nKSWHPE50fo1N77cDNgce7ecVxfJK4fnZaE+obfXRNIDoxGot84HxadM6wJrl+6eVXs4G/p3Samo7\nAEcAD9RwvXHE7wTRmbeMtPKqVmETEWluKYZvTSSw9HcM35aBieG1mAm8QPwWK4mBtj2AW8yspa8L\nRJlZa3qm+ADxfNBOTE69lijeISIiTaxJ2+A1MbOtgY+lt61E3PxR2tZtDM/fx92fN7PziETXnLzz\nVjN7o7tf3821R6YV4Q4iFthYTiQMz0nbbTD+ZiIi0n/MbCIRJ94BbG5m44EJRNw9F/g/d3+hhlPd\nQxQxGgtc6u5HFjem9mR74X0x/vwcOJZok0PEumlmNjYVYWq0GcC+hfcbp3tqq7x7SSF2ziGeWXLR\nptHAuo26wUIM/x6l2A/Rd19e2EpERJpMA9vgT6d/k4AvuPsPixvL26tl8ftG4GLgBGIS5gRg11TE\nYaAmb/SqD11tcBER6WsNHAdXDK9D4fuPoDTGDfAckR+3oDfnFxGR4U1t8K71dBy88N2eI8b+DwDW\nSJ/NAu4GbgfuI4pT/AtYUjyfmd0H7EW0v40o0jyeUvEtERFpco1ogxf6dB8CPgxc5+5zivtUinfu\nvjK9vmZmlwNfJ+ZcOTC5D8fB+20+WU8pF11EREREVBhKREREVjGzfYkBsP2ATSkNGAG8BfgicKOZ\nfQ/4h7t3dJOImTvqfgHc4+7nVtjnPmKiTK6Evj6wvZldW8tkkgaaSXTCTSASZbYws93d/e46EmWe\nJZJUsymUVkrrxN3vS8WhjiYG9UYDnzGzv7n7P6HUQZgq4LcAljo6Pw5sn849ErgGuFkJsSIizW0Q\nxPBJDEwMr8ULxETbI4jvNgJ4E3ALnSeJNlT+fVNRyE2BDxGxewUR/69z90V9dX0RERn8BkH8Hqg2\neK0+TdxjnhD6O3d/rDBhtCbufrmZ3UYkuDowBjjNzI539yeK7f7UBm9NK9PtRhTZIl3/YeKZQoWZ\nRUSanJl9DPg8UWCxfCXtDYmJLt80s9OBb6Z2YVcxfBYxOWUUUeSJWmOdu88zs/spFYYCWJso/nh3\nfd+qJrcAn6XUlh5pZse6+zmFRNRqHqTzKq5j6Nyv3iOFNnibme1N9AEU3e3uz/X2OiIiMnQ1uA0+\nD7gQuBT4WTp/TbHQ3ZekSZiLiMkbEGPU6xMTOwdCw/rQ1QYXEZFGUwzvVn+Ng+9JLFw4hshhewSo\npZCHiIg0KcXvqno1Du7u881sBlGk427gLuAxorjT4lxUo8jMRqTPZxBjEWunTTsR+QMqDCUiIg2L\n4YX3s939icL565nz9BKxeMBm6f0LxFj8rDq/Vi0qzSeb7u539XI+2WoxuV7KRRcRERGRrGWgb0BE\nREQGnpmNM7OzgJuB44lVWtYo343oqDoA+DPwXeg6ETN3frn7o8B56TqtZtaS/jZ3Xw7cT1Qrz+eZ\nRgNXCK/RU8QqKVDqfMsTR7p9Xip8/8eJDjYnkm0m03mCC7AqwRXgdGIwDiJ5ZgPg22a2T/G8uRPP\n3Vea2duBLxMdeC3puHPTdiXEiog0IcXwmiwGbkt/5zj8hvRa9yqphVheaVtL/p3y72tmbyASlKYT\nsXsUMTD5o3qvLSIiw4Pid3VmtgeRyLKSSIadBZyRvkfNRaHy9wd+SCTDGpEYsx/wdTPbIicpwao2\n+EozmwicBrwu7Q9wq7s/3YCvJyIiQ5SZbWJmDxKFGLdh9aJQReOAU0nt0W76b+cDX3L3g919Ydq3\naqwrtE3LV/9cg5go0xduIVYYLzouvXa7IFXh+19H5z73VrpYYAGqtsFbzay1eH4zO5lYTGFsYdc2\nYuVUERFpQn3RBgeWAr9399PcfVnat6aVw9OfOVbn/ulxwJKavlDfWAzcmv7ucR+62uAiItJIiuE1\naeg4eLnc5iby4cZSitNrpBiuOQgiItKJ4nd1jRoHB84HPgh8y90vdfdH3X1BpaJQSf7N7gDmUnp2\n2BrYot7vISIiw0sfxXDK41Kdc54mEfE7H/McMLu78eNeqDSf7C3ptdb5ZE+w+nyyLp9ZlIsuIiIi\nIvXSoIyIiEiTM7MxwClEB16x4+lFInnkQuBq4rlhNJHksSbwSTP7di3XKExQbS9US8/PITOIQbbc\nsbUTsYpJv3H3V4Gryj5+R9pWtUp7qgK/glhVxojOwA6iynunTrtCwad/EkmxC4lO0w7gcOCPZvYZ\nM9slHbu5mR1lZn8C/gKMT6dqBc5293N79KVFRGTIUwyvTUqaycUY86DbzmY2oSeFFasMYnZ4abXz\nLc3sq8BZxErnTsT8l4Fj3P21eq8tIiJDn+J3dWY2AvgUsUppnnjyc3efW2/sLnz/i4Az09/5nB8A\nLjCz9xLJRJjZZmZ2PPBX4M3Ef6NRRDHoU3r2jUREZDgws3WJeDK1bFMHMRHzWSoXZNrDzG6t8Dmw\nqiDCAz24pRzbnyr7fKy790lCrLu/RBSHKsoLHSxf/YjO0irui1m9ENROaftq91ylDd6eJwCZ2YFm\ndiXwfeLZKesATnD3udXuT0REhp++aoOn+F1enLGmWypcfx1KE0w2dvcFfTShparUh353etvjPnS1\nwUVEpFEUw2vT6HHwCufPv30uBj2K+O/xfNre6+JTIiIyfCh+13BDjR0Hf83d59fSN5/2z7nrjxOF\nK1YSxT3WAnZM//1ERKQJ9UcuW533kxdn2oRYTCDH8AfS+HCv27vlGjSfbDmRN5Dnk7VTYT5Z4ZrK\nRRcRERGRunS7cqeIiIgMX2kSRjvRYXUypUGm54EfA39x96fSvhOBLYGfA7uk/UYDXzKzu4GLa+nw\nKpOTQ+4gVhlfJ73Pq4/cX/eX6kYaUBsLbAiMd/fbUwdcvo+/A6cTSSwO7GJm0939rspnLEkrm44G\n5hCdbaOA2aTftJtOu0uAjwDnEc9lTlSGP4OoZr82kbhjxEBg1gH8FPjP9N2K30NERIY5xfDVYngt\nZhGTSbYmBtsmAvsClxV+z1rvZ3tiIvB1wAZEkce5wLrESix7pHNPp1TQ0dN17wBOdfe7FL9FRJqL\n4ndd8Xs6MWE0exj4TW/ux93dzH4DbAx8mUjAaQV2Bv4EPGhm49Nn61Nqo7cCjwCfcfcXFb9FRJqP\nmY1MEy2/Aexe2NQOXAF8x91vSvtuBexPFEIoTqLYx8x+AHy11kka1RTaseUFHheY2dieJoCmfu5J\nRLt3Y3f/TVm7+RekJNhkjJkd6+7n1HLPqc/7FUrFm1YSfeAV+9HN7AjgQOK5aHvi2WkmsDnwXuCN\nwI7ABEoTfbJFxGrp59Tb9hcRkaFtELTBKyq0Jyek1zwu/ZiZjUoLEdVtsPWhqw0uIiI9pRg+sDG8\nG7sRYww5XvekwLWIiAxTit8DOw5ej8J93gUcRmk+4a5EjvrS/roXEREZeIM4hq8ws3WAr6ePRhLz\ntL7Tm/P203yy2URcrTqfTLnoIiIiIlIvFYYSERFpUmkSxlpEh1kr0UHUCvzQ3c/I+5nZCHefB8wz\ns8OBXwNvITqVAL5IrIR+XT0JJYXVRx4zsyeIau5ODC7taGZ/d/dlPf1+ZtZCTL6ZSEwSmQbsBewJ\nbJkG9vJq4ubuj5rZDGBvYsXykcB7zewJd3+lhktOIIo6ZWtRPRGmw90vNLNPAV9N99lK/A6bsfpE\nFoiO1t8BZ7n7EtAKbCIizUYxvBTD6/AyMRC2NaXCGAcDl/XgFtcHvkt870eJ33BzYjKuE5NcRhCr\n42QGXAN8091vBsVvEZFmo/hdPX6ntrkD/0XE0uVEEtEZHqu29iqRJbWh/zMl4nwyXcOIPoAdK90S\nMSH1FHe/Op1D8VtEpMm4e5uZbQB8rGzTZe6+qkCSmY129yeAJ8zsTuBaosBS9gngOeCMQrGpHis8\nBxxVtulmd3+tEFernofo296SSCp9A1EAawow0szOyfeazvkPM1tM54UMTjSzG919Tg23vgWlApUQ\nz0OXd7P/64DPAJ8nVp9dRiTstnZzDEQhzFPc/SzoVEhLRESawEC3wbtSaNe+O32U271Xp8kutcbv\nwd6Hrja4iIj0iGL4wMfwsvvNv914Yux7EYU2vYowi4gIKH4PhnHwOuSc9LuAe4AZwN+Aa7xBi1qI\niMjQMRhjuJmNA/YDvkLEXIh+44+7+6J6zj8E5pMpF11ERERE6qLCUCIiIs3tcKIAUV7R6y/A/0Jp\nUCxXbk+daC+Z2WlEwse+RELJdGJixnWUEkxqUhjMuptY2Ts/m0wD1gOerfN8Y4BxxKSVHSh13E0F\n1ijb/QBS52N63w6cSySirpU+eytwC3BJDQNvy4gVyyF+h/lEh2CXChNzf21mtwDHAR8iKsSvm3Zb\nQkwYehS4Ebjc3R/p7rwiItIUFMPrG0BcQiSzfIDSINn+6bXeQbHZwNPEYNw2dC7kaEQch1hF7Qng\nJuB3tawaIyIiw57idxfxOyfDmtk7id9pWTrHHanN3IjkX/PweTO7AjiJSFQqWkq0wR8mkmDPcXet\njCoiIl+k1NYDeIY0mSTHqDxpIhV9esjMvgKcQWnC5Nh0njOIJM5eSYm6u9O5+JQDt6ftXU5oMbN1\nifi9C9E23pco2LRmhd1PIhWzSu/biBj5vsI+uwAfBb5WQ8xeSKn/PZ+vu1h7F/Aq8Tw0is7/Hcot\nAx4Hvu/u53Szn4iINIcBbYNX4rFq+GSiXxkirs0j2qDV4vdQ6kNXG1xERHpDMXwAY3hRYZJw/n7r\nEH0aC/P23pxfRESGFcXvARwHr1XhOpe4+1/745oiIjLoDXguGzFGPRHYFjiQ6EfeKd3TC8A3CkWQ\n2ruLnUNsPtlslIsuIiIiInVQYSgREZEmVOiUOoBYdSQPNF2fBsNWW7G80Hl2F/Ad4JLC5iPNbDd3\nv6eHt3QbMbljQno/leiMq2tSKnAi8E5gK6KCend2B65LnYO5E+2KdPybiI7EbdM5L6GU5NKVw4jO\ntw4i0eYf7r6w1ht395nAl83sVGLltvWJRBonVlybDTzj7svz/dayWo2IiAwviuFAIYbXevIU7++j\ntOJaB7CtmW3u7rPzfinGrkEM6i1x99cqnO4VYgWaNxDffe30eRulgbqngPuIwhuPu/t8xW8Rkeal\n+A1Uid8pGXYMcAoRp0enTV9O27uM+ynGjiHGOxZ3FWuLn7v7lWZ2E7BB+g4jgMXEs8ILRFGJp929\nrR9XaBURkUGmkFR6cNmmm1M7c0x58YJCTD+HSKI9pbB5QzN7v78VT3kAACAASURBVLuf18v7yquL\nH03nYk5L3f37NUwkOZto046l8wqjlRxErFreVuhH/wVwCKVnidHAJ4CvUT3Z97Nl7x9292e62f8Z\nomDE+Arb2oj4/TJwP3Al8Xz1pNrgIiLNaxC2wfN95fi9N9FGzn3Vs9396hrankOpD11tcBERqZti\nODAIYngF6xD9G9cClwN/c/dHa70/EREZ3hS/gUEwDl6vfJ5UCKND/egiIs1nMMRwM9sMOILIW9s7\nveZiSHlO1gLgUDM7GvgrcIW7v9DNaYfSfDLloouIiIhIXVQYSkREpAmlzrpxwMbpozWIyRO3pu1d\nViZPHXqXmdkdRPX0lcQzxTFm9pS7L6jnVtLr3cCLlCaSbEF0xs2o5SSFiS7bA/tQecX1F4CriU65\n63KnmCfpu80yszOJDs6RRKfcIWZ2HFH9fWXuBE0daq1EZXgDjiE6RVcQHXr/rP1nKEkTiS6tso86\n8UREmpRieOcYXsf9QgySPQTsRsTvscSA2mwz2xCYBGxHDDBuDVwE/KY8GcjdF5nZD4nVVyYTA6KP\nEoN0HaRJqe7+SvHiit8iIs1L8bvm+P1BYOd8GeBC0m9U4R5GERNSNiaScA4g2uinAi/V8j1S+3s2\ncEaV/TQhVUSkSaUk0E2A9QofdxDtxRxLujq2Dfi6mX2O0oqiAP9uZrcWJ2f24L7czEYDHy3b9Jt8\n35WOKyTwbkMpsbRcB5FgehFwVi6yVNaPfp2Z/RL4UuG4iWb2KyIxdnl+Xkj96KOIfvMW4Kiy691b\n5bs+Z2afBt4FbE6siJqfZVYCc4FH3X1O2XFqg4uINKlB1AYvP7eb2Qhi5XSIsWiA0/N9VzpuKPah\nV6I2uIiIVKMYPmhj+PPpvCIiIqtR/B6c4+C16mosQUREhr9BEsN3AH7axba8uNHU9A/g7cDjafz9\nKndfkXceivPJlIsuIiIiIvVSYSgREZFBKHWyHQwspM6VwOrQDuxPqSL5GOCJGu4td5r9nphAklfq\nPhT4B3BNrSt5FjrQXjCzR4gkFIhOtJ3MbG13X1zHd7oQOJ54xlkC3EAUWbrC3Z8q+x4V79HdLzKz\nS4mJJtn3iZXXz8ydeOneV6Zz/TfwNkqryjwM/KmO+16NVkMVERmaFMMHLobX4GWi4EUxcfWDZjaB\nWN1lV2CjwrZngd908bwwC5jVg3sQEZFBSPF7YON3SpQZB5xEJMqsJJJdfpSTeFLi7lrEBJatiHi+\nV3rN8buD+J3qTohVG1xEZGhKRZtOJtp7P+ouQbUXVgAbFt63ANfXcG+5CNOlwNFEjAPYCXgP8INC\nnO+JLxLxM3uNKoUWCv5ATCLJ5gJXAT9395uKO3Z1j+7+ZTP7NyJJNfswEa+PzkWh0vPH8nSua+j8\nWy6nc3Gpitz9OuC6mr6ZiIgMes3SBu/CIURblnRfdxErkNdiSPWhd0dtcBGRoUkxvLljuJm1gIo4\niogMNYrfAxu/B8M4uIiIDE1NEsPvqPDZ88QiQS8A04ix6I2IAkxtRLHjc4D/BH5e4fghNZ9Muegi\nIiIiUg8VhhIRERkEUvLE/sBbgcMpVTW/mKgU/nIfXLaNGGBqAZwYMNoYeLzKcbnz61rgAeD16f2W\nRGX0a+pNHEn73wkcQVRHh1gdZX1gcbXVVAodnVcTE1ouc/e7K1xrROzu7ZXusdBJ+T1i9bTDiN9o\nIvBNM9sLOB+4wcw2JQbfjgUOIjr1RqdTfd7dX6v1N+jiOymRRkRkCFAMHxwxvMp9thIxegNgUfo4\n94ccmP5VsruZbeTuL1Q5v6XvolVYRESGCMXvwRO/czvczD5G/HfIq6ZdCtxhZpsDmxHJPnsB04kk\nn0pagD3M7M56nxfUBhcRGRpS++6TRJ/sNEr9sc8DlxMJlo22hIjdWVu69tVVjsurkJ4NvIVSEac1\niGeQH/QkgbdQcOrksk3nu/uT3R1bKJz1Q+CNwK/d/Q8VrjEa6HD3tkr3WLiHrxFJsOvlTcBRZjad\nSAQ+08z2BN4JvBuYUHaqb7j73O7uucK11QYXERlimrkNnhXGoD9DFGfObd8z3X1+d8cOhz70cmqD\ni4gMDYrhiuFFit8iIkOD4vfgid+DZRxcRESGhmaL4Sk3bZ6ZXU8UqDofuNLdn0nb1wKWAusCnwA+\nlM6/nChE9R9m9rC73wjDYz6ZxsFFREREpBoVhhIRERkgZjaVmBByBNGJ11LYvJKI02u4+8t9tGrm\nVsB8YBNiwsYrlDqiulToaHqCqKC+fzp+TWLgaZy7L+zB/cwgKtpvkN7vAGwKPFlr51ZaQWXVSucp\nAcaAdg8ruzyYUoegu99hZp8GrgQ2Jzov1yY67d5CTN5pTZ+vmQ4fASwAvuruta4qIyIiQ5Bi+GoG\nPIaXS5NY1yV+o6nAnsAewE5E/M7nG5muk3UANxMrxF1YSzKsBuFERIYGxe/VDIr4nZJhNwT+g0gy\nGkX893gS+BGRQDOV7n+rDuBG4HrgIiXDiogML2Z2JPAxIgaO62K3ke7+cCFRs5EOJCZsjEnvVxCr\nd3erEE+vAe4nkmCzHcxsk5zYWqtckMnMvk2pGBPAYuDEWs+TklAPKp6XeDZakWL48irHt6XX35nZ\n00QbOucdGJGUeyrwja5OAfzR3b9V6z0Xrq02uIjIEKA2eElhIug7iBXT80TQGcC5tZ5nKPehi4jI\n0KEYXqIYLiIiQ4Xid8lgit8aBxcRkWqaOYbnc7j7QeXbUtGoV9PbfwH/Y2bXAn8j5nRBzPE63sxu\n89LiSEN6PpnGwUVERESkGhWGEhER6SdmNpkYaHorMemi0iSWjvQvd+qtDY1ddSt1lOVOo+KzwAZE\nNfOapEGrO4HngCnp4+2AXYgK6DV1Phb2uQ94ltKk1E2Abc3sxnq+f6qUbu7e0ZtJQO7+hJm9G/gx\nsF9h0zgqP0M9CfwEOKen1xQRkcFJMbzL8wzKGJ4cBxwD7AhMqLB9VOHvh4G/A5cBNymJRkRkeFD8\n7vI8gzF+/xdR3KKDSIodAXy1yjGK3yIiw5SZ7Q58CngzsBGdJzF2ZTR0Wgm0EfdRjOHFJNw1gEW1\nnicVcrqB6GNuTR+vC7wT+HE9xazSuVqJlc6LTqtWzKlciuEtHquhtlU9oOt7utbMjgV+AaxTvEQX\nh7QRK6L/e0+vKSIig4/a4FXP1QKckj7K3/+UHhSCUB+6iIg0lGJ41XMphouIyKCj+F31XIMpfmsc\nXEREVlEM7/J+RhBxsiMVb/Ky7a3ufquZnQ58jhiTbiHG33cE7i1eS/PJRERERGS4UmEoERGRPmJm\nY4nVxN9GdOBtVuWQF4B2YHLhs/vNbHS9kzq6U+goe4pIBsnvNyEmtVRV6Ax8lBiEmpLOswGwL1H5\nvWbpfIvM7AGiI9CIzrqdgfFEJfqapPvqdbX01Dl4r5m9C3gf8FHi+01KuywiOjEfJ1Zk+YvXucK7\niIgMTorhtRtsMbwwoXYb4IAudnsOuJqYiHpN+co0KUEo35JWYBERGSIUv2s3WOJ3IW7n4lTLiTGL\ndmI18yLFbxGRYcrM1gdOAt4LbE318es8gaK18NkcM1vb3Rc36r4K8eQWOheGaqVzAaQuFWL4zcTq\noOulTSOIlUR/3INb+yMwpvD+aeD/1XuSdF+9LqSV4vn5ZnYf8A3iWWwUnX+z5cT3vwP4prvf0dvr\niojIwFIbvG6fAqYSv8EI4E/E80Fd1IcuIiK9pRheN8VwEREZcIrfdRvw+K1xcBERAcXwOu6nWvHG\nXFzqMmJxqb3T+4nANODesvNpPpmIiIiIDEsqDCUiItJgZjYVuAR4XZVdFwH/JCZD3A3MAE4D3g+s\nIDrZnnX35fWseFLjPba4+xIzW0RMAF1GdOJtCzxYbZXyQmfgc+neDyU6z0YRA2r1VqVvIToxbwfe\nA4xNn08DNgTml1Wm73Pu3pF+p7nAT83sLGAfotNyIfFdFwJziP9Obf19jyIi0liK4cMihufrXAF8\nNv39KjHIeBlwhbvPLh5QnkDTyP9eIiLS9xS/h0X8vhx4F52LXCh+i4gMc2Z2JHAhtY1XLyQSKmcA\nfwZ+T+fY/5y7L64WU3twj63uPs/M2ug8WWM/4GIzG+nubV0dX4il9xJJsesVNm+T9qn5fs1sB+CI\nso9/4u4LB6pv2mMl2FZ3nwkcZWYjgY8Qq8H+i3jmmUs8w9zl7kvVjy4iMnSpDV5/G9zMJgHHUXqW\neBX4lbsvG6CYqD50EZEmpBiuGK4YLiIy9Ch+D4v4rXFwEZEmpBjeo1y2LhWu9TRRhCoXhlqDKGbV\nsGuVXVfzyURERERkUFFhKBERkcZbQuVOvDaiI+pOovPuAeAZYqXslakjaF7aN3cG1VRxvQcsvd4O\n7F643oHEZJyauPtrZvY4pY5AgClmtqG7v1jH/eTr3078Hmul99sCmwMPD9Cklo7C3+1UWTVGnXgi\nIkOeYvgQj+GF2H0T8DngBne/t3w/M2sFOpRAIyIyLCh+D934nWPwten1NuDvwOWK3yIiTWEBXY9V\nLyUSKG8nVte8F5gNLEuFhRaW7T+GvpGLKc4Cdip8fhjwhVpP4u5zzWwmUVAqm2BmO7n7A9WOLxSg\n+g6wZmHTLHf/QbrGgPVNF5OC032eVWV/9aOLiAxdaoPX2AYvTJw5FtiN+I1GAhe5+zXpGgM5/q0+\ndBGR5qIYrhguIiJDj+L30I3fGgcXEWluiuH157LVYiGwmNK9jgFWNnrxqCLNJxMRERGRwUSFoURE\nRBpvDlG5fWdiFfP7iA6ze4GngHnAa+WDN2Y2Htg4vR1NTH55BBpfwbzQ8XUb8CmgNb3fr2x7lwrV\nzJ8BngW2SpvWT3+/WGvF88L3e5D4jaak9xOBHczsKu9m5fX+pCruIiLDmmL4MInh7r4U+FF+n1ZT\n8/yd+moQUEREBoTi9xCN34W4PMfMRrn7yuJ2xW8RkWHvVkoJom3Ai0T8vp5Ihp0FvFz+/38z2wxY\nr+xc90HjY0UhHt5E58JQW5Vt71IhPs+kNBkF4nvvDzzQXQxP29rMbDrw5uLtAafU8336k/rRRUSG\nLbXBa2iDp23tZjYF+GT6eAQxceV/6/9Wjac+dBGRpqMYrhguIiJDj+L3EI3fGgcXEWl6iuF15rLV\ncK3WNGa+IVHUajnxG72angNa+qu4osbBRURERGSgqDCUiIhIg7l7h5l9jphQ+U/gZaLDqdtJIu7+\nipntmN62ExXMn+zTm4WH0rVGESuUbGlmG7v783V0WD1H5468dYFJUF/F83S9lWZ2H7AP0bloRIfo\nRBrYMdgbA319ERHpO4rhwyuGm5lByqLRamoiIsOW4vfwiN/pXlqJIheu+C0iMvylBM2vApOBq4jC\nSS+lCY7dHTfHzCaVfbzaCtsNdiOREJuNMbNd3f3eOuLlQ8CrROyGKBC1OVSN4S3E88OZlIpKAdzt\n7ufVeP/9Tv3oIiLDk9rgNbfBjWjffgbYglJxyF+7+z09+TJ9QX3oIiLNQzFcMVxERIYexe/hEb81\nDi4i0nwUw3uWy9adlFswEhiXPmoBVhIFoiDibL/QOLiIiIiIDJSWgb4BERGRwcbMppvZKWZ2h5kd\nlD5rrXZcmevc/S/u/qi7L6jWiWchr4wO0TH1KjA2b6/z+rWaCzyc/m4H1gIOSO+7fU4odGi9CCwu\nbFqPGGirV77eDGBJ4Rw7ARvka6bfak0zm5L+W43qwbVERGQYUgxXDC/KmTR9eQ0REek9xW/F78zd\n2929Q/FbRGRoMLNjzewaM3s1JbaSkjHrcYa7f97d/+Hus6sVhUpxaRyRlFq0bt5e5/Vr9QSwrOyz\n49JrtwsxFeLaw5QSUyFicbfxPyXbtpvZ0cBuhU0rgdPSPhV/8/RbTTSz3c3s4O6uIyIizUNt8L5v\ng6f43WFmuwLvSx+PJFaC/23ap+JvXmiDTzazrbu7TiOoD11EZOhQDFcML1IMFxEZGhS/Fb8zjYOL\niAwtiuEDlstWzZHAm4EVRLx/Fbig7F5ERERERIatbhNVRUREhqvcMZYmOa4JTAc+SAwMjS3sehBw\nbb3nr7djKd3H9pRW/B5BVE1/oSfnq8M84FZi4meeTHMEcH6tJ0iV6V8lOh87iHtfqwf3kr/j7URV\n/FzNfWtgqpk9B0wBtgf2SP/2Aw4BrunB9UREZAhSDF9FMVxERIYMxe9VFL9FRGRIKYvhE4FjgJOA\nbct2fSdwer3n72EMP5zOSagrgJk9OV8dngBmAVMLn72NWIG8Ju4+x8zKi0uNq7hz6Zj8fb4CFJON\nZ7j7JWbWWkwiNrO1gcnANGB/YF8itreY2T7u/kCaKKPEWBGRYUxt8FUGpA1e+D4fJtrVbcR3/6O7\nP2RmLe7envc3s9HAOkQMz23wvYFWM3u7u7+o+C0i0hwUw1dRDBcRkSFD8XsVxW8RERlSFMNXGUy5\nbKuk/z4tQEf6bfYBvpA250UNz3T3+b25joiIiIjIUKLCUCIi0pRyx5iZbUKs7P1uYOe0uY3olBpF\nqnZeHBhqtMIg0lJiQk0emFofeKyvrgvg7svM7Crg45QmlhyWtlX9zmniSTsxidSISThjgNeVba/l\nXjrS61Nm9iSwFfHfYU3go8CHiP9GG5QdegCalCoi0jQUw4NiuIiIDCWK30HxW0REhppCDN8T+BZR\nJHCNCrvulPbvdqXT3ijE8IWUkj0h4vgVfXVdAHdfaGaX07kw1OZpW9XvbGYj034L8nHJNmXbKx17\nAqXnJoDlwAnp71FmNomYwLIP8HpgR2AinYtnOVG86wEiP6DP/juJiMjAUxs8DGQb3Mz2JtrV7cT3\nfQj4UdrcambrEO3trYHd/397dx5t2VnXCf/71K3KQIgEEghhCpMBAgjIHGaCit3agtgKKoiItuLw\naretLbTtgCC070trCwrYtssGGVRQmQUk8SXMAZTInJAwBEgwCUnIWMOv/3j25p57UnXvubduVd1d\n+XzWyjr37OHZ+5xaK9+7f3fv35PkwUnul5XX4Jcm+fYkb0nP9QP27wTA1iDDOxkOwJTI705+AzA1\nMrw7xBm+lKHx08z7qqpx2e5h+eOT/E56Vu9Oz+pzkvzJhj40AABMlMZQANzoDAWj+6XPbv7kJCcN\nq8aC05iPleRerbUTq+qiAzULyMyYx6Y/1HHkcOzPJblFehf2TdFaO7Kqrptb/N4kV6TPgrIzyQmt\ntcdW1SKd7cdzP2943Z7+PY4P5uy5wR57P69t6Q+fnpjkuAzd3YfXSvKoVXb/9kWOAcD0yXAZDsD0\nyG/5DcA0tdZ2pGf3/5Oe5dtW2fxbWmv3HGbgPtAZfqu5VVcnuUuSczfrWK21Y6vqyrnFr0zyKys3\na/+xql60wJBjRp+b/l2Oxhlfd+3jPHYkec7c4jOTHNNa+4/pjaC+Pf33qx3Zt5bktOTANu8C4NBz\nDX7or8GHf4OfS58RffcwzqvSGzo+Nv3hooekz0B/51WOf4sk90nylgP50BEAW4MMl+EATI/8lt8A\nTJMM3xIZfkxVXbVioJkMbq3dLcmjk/xIkofPjLWU5MtJfrmqPr/A+QEAwGFDYygAboxOS/LiDLOY\npxejWpY7nI/FtF3pD0g+PMnrcuBnAblPlru7b0vv7n7VqnusYXhw5Ngkt06fffyRrbXfq6qvDA+C\nVlV9tbV2ZpJ/l+UZU36otfb+qrp6tfGras9QGD1yWLQjveB2wbB+1cJna+2E9FlY7pE+C8uDhp+P\nSP/+x+9j1s4kZyV5U5K3VdUn1/oeADhsyHAZDsD0yG/5DcA0/VSS/zfJUQts29JnUv3P6X9/PpDN\nhx4z9/7iJF/bnwFba0en3/B7z/TfXb6ztfaMqvrnmZlKz2mtfTU950fPbK39eVWtejNuVe0efk+Y\n/y4/N6zfV4b/YobZVGfcJ8n/n/6gy1ouG7Z9WVW9dYHtAZg+1+CH/hr8MUmeOPy8lD7L+4OTfF/6\nw0az193jv89o9hr8rVX1qVW/BAAOJzJchgMwPfJbfgMwTTL8EGZ4a+2uSX6itbYnvSHVhel/175j\n+qRId09yu+GcZ7N8W5I3Jnn2gZywCgAAtiqNoQC4MTomvXN60gtnS+mFpzcleW2SH0vyk1nuTn56\neiHvgGitLQ3dzXekP8xxbfoDIkdV1bUz6xcaK/3znZA+S/r90v/Idf8kt08vWH4hye+nF8YqvXj3\niiTfm+XC2ePSC57vXOuYw0Mt3z68vT79gdIvDeezz2Jba+2Y9O/5d7Lyj22j2d9TPpbkLUneXFXv\nWeucADhsyXAZDsD0yG/5DcA0HZcbNgzcleRfkvxxetOie8ys++70xlAHRGttR1XtzPLsoqMdVXX5\nzPqFxkpyqyR3TZ8t/JFJ7pvkxCzf8Pub6Q+UbE//PWVnklcm+eWZob41yTOS/N5ax6yqna21e88t\n/uxwPjfI8NbazZL89F6GuvVelo2uTfKRJK+oqpeudU4AHJZcgx/Ca/DW2lFJnpbk6Cw/PHRk+gM1\ne/1YcQ0OQCfDZTgA0yO/5TcA0yTDD+29bF8fzuWHh2Nfn57n3xwyN7y37TNJXpX+d/DzW2vbqmpP\nAADgRkRjKAAmo7V2ZPqDGbdMLwB9S5ILq+q8Bfcfi0rnJzk3yW2HVa9P8hdJ3llVV808nDE+APKw\npBesNuWDzJkZ94iZ191JLlr0uK2145PcK8ndkjw0yQOHn5dmNtuVnv1PTi/k1czY70rynvRu9knv\ntv7jrbUzq2rXKscdi4w3HxZtTy/ifX0499U6sF8/fM69PZD6xSRvTy+uvquqrpw77rZhfMU8gAmQ\n4fsmwwHYquT3vslvALay1tqxSe6ZfqPnrvQs/3hVnbHg/mOGfzjJlekNopKeOf8nye9X1ddaa4/M\nysZQd0l6A6RN+SBzZsY9cm7VZYsed5h99N+kZ/dD0m84nR9v9Ljhdc/M2C9Jvwn4ZsP77Ume1Vr7\nn1V13SrHHZtWHTOzeHeSrw7nvrcMv2n6v99qdqf/nvW6JC+uqq/MHXdpGP9AzlwLwCZwDb5vE7sG\nPyL9QaL585rlGhzgMCLD902GA7BVye99k98AbGUyfN8mluGXJzk7vTHUUlY2hUr6vW3fSG/W9dEk\nZyV50+zfwmU3AAA3RhpDAbDltdZuleQJ6bN2n5LkdlmeFftTrbVzk/xhkjOqate+un/PFJW+kuQf\nk3w5yYuTfGBu+39OcnWSm6QX1O7aWvvWqvrsPjqWb5b7p3c3r/QC10fWse8j0guSq9k+jPmGZGWB\nsKoua629Jsmp6d3vK8lTkvxlkr9LbtitfXi/u7X2oCSPyXJ398ur6r1rfVfVZ0j/dHon/euSvC3J\nm5O8vaq+NLvt+Me3vluVQh7ANMjwhchwALYU+b0Q+Q3AltNaOzXJr6XfmHqr9Bsox/+nX99auyzJ\n/0hv7HTdvmYWncmTc9Jz+uQkz0/yv+e2PyPJj8y8P6q19riqeucBzvD7zr0/ex37/kSS/7LAdlcn\neW+ysuFUVV3QWntbkh/McrPFOyb5b0mek+wzw3e21p6efpPyaFdVvXxf31VVXThk9ymzi9ObSb0t\nyR9V1YrPPjaCSm9mVXv79wVga3ENvpDJXINX1RWttU8Mb8fmk5cnOTPJG+MaHOCwIcMXIsMB2FLk\n90LkNwBbjgxfyJQyfGdr7Z+TfCDJUel/Qz8iyaeSfDbJhenNpT6T5NNJLh6O04b9D9T3DwAAW5rG\nUABsWa21Y5L8UJKfS3LvrOxWnvSZPu4+/Hd6kle31p5dVRevVnAb/hj0R0kuraF7+VAkakNB7/NJ\nPpY+Y/ie9AdoHp1eZNqWXtzbzM85Fh6/Jf1hkp3DZ902rN/rAzrjeQ+f85/2Mfy5Sf4+fbaTM2sv\ns5bPjPGKJA9O8tT0otxRSX69tXZNVb29qmr4o1hLr6ftaa3dMskvp/9Rbfy+X5EsXHB7d5JTqupz\n8+c0fP7xARZ/fAOYEBkuwyPDASZHfsvvyG+ASRry4YXpM3vOz6Y5OiJ99tQXpM/s+f1V9Yk1MvzC\n1tqzkpw3ZtqYGUNWnp3kyiTHzuz2tCTvTP8b9M5sopmMvsncqjHDd9RME6e5fcfP+ebsvTHUziSf\nTPLaJH9Yc7OGz43xS0kekOQuM6t/sbV2ZVW9YMjw8XeLPcNNqndP8ty5If8h2XuGzxzrQ0nuk37D\n60ur6vXz26V/17uGDNcICmAiXIMfftfgM8f6RPrDMuckeUNVnTO/XVyDA0yWDJfhkeEAkyO/5Xfk\nN8AkyfDDL8NHVXVGa+0J6U2hrqiqLwxjH5vkuqq6di/7aAgFAMCNmsZQAGxlP5Lk97LywZLrsjyz\nx64kO9ILX0cneUaSk1tr/7aqrl9t4Kq6OFkuYg1ForFQ9PX07uMPmdnlMUn+ZGabTTMUxI5NL54l\nvYD29SRXDev3WTgci1vVZyq/Or3w+Kb0B1zeMX7O0VAs2zYWMMcxhu/hytbaHyZ5bJLbDmN9e5KX\ntNZ+oareOvtHseGcfyHJ96d/Ly29K/tr1vHZL01y6cy51cy/h4dYAKZLhkeGAzA58jvyG4BJelGS\nH13H9ndL8u7W2h2q6qrVNqyqTyQ3yPAxM76QfiPp/WZ2eeTwuukPV1RvsHRS+u8k31yc3pwqtY+m\nUMO6McPP6vf0Juk39L45yUvGzzkaGjttn70xdibDv9Ja+60kf5blm49vkuS3W29O9dzh94ndw1gn\nJXl5+sy1o+tzw0ZRezvf585vN5zbnpl/j01twAXAQeMaPIfXNfjM+b41yVv3cm6uwQEODzI8MhyA\nyZHfkd8ATJIMz+GV4XPnflGSi+Y+zuWL7AsAADdGrTRLBWALaq19f5K/Ht7uTn/A4oPpRaIPJbkw\nyXcn+cEkDx/Wj0W+P0rygqr60kz39PUcu6V3ln9VejFrW5Lzk3zresdaxzGPT/K+JHcejrczyalV\ndd4C+24bioG3rqqvzq1r6d9NrVYQnNv+3yR5fXqRdPzulNR3igAAIABJREFUr0ryj0nemOQWSe6V\n5HHpHdrHIujuJM+sqlcs9KEBOCzJcBkOwPTIb/kNwDS11l6Y5FfmFn8jyTvTZ/78lyTPSs/x4+a2\nOyfJM6rq7LbKLKOrHLsl+f30mz1Hu5Ictd6x1nHMu6bPAL5jZvFjq+qMBfZdqt5c6t6191nDj0hv\nuLRmo6Vh+98Y/pt3cZJ3JDkhvQnXHTLM5jrjZVX102sdZ+ZY35zRfJF9ANjaXIMf/tfgw7HGWdPl\nN8BhQobLcACmR37LbwCmSYYf/hkOAACsj8ZQAGw5rbVbpBft7pz+IMn2JM+pqt/dy7bHJPndJD+Z\nXsQbO40/r6p+fezgvoFz+Lb0hzdumeXZQk6rqg9tpDi4wPGOTJ+h/Fbpn3lPkm+rqs8s8hlmt2mt\nbU//Htb9oMhMUfAXk/xSktunFxV3ZPm7TZYLnKPrk/x8Vf3Jeo4HwOFFhstwAKZHfstvAKaptXbn\nJJ/KyiZJf19Vj9/LtrdMz9r7zK16d1U9cj8y/ElJ/jIrc+rpVfXnG2k2tcDxjk2fHXX2eN9VVW/f\nQIYfmZ6xuzaQ4WOTqb9J8r3pN8Mu6hVV9bT1HA+Aw4drcNfgAEyTDJfhAEyP/JbfAEyTDJfhAADA\nDc3PTgoAW8FTs7KI9+okL2rd9tbatuSbD19clT4r9/837DvO5v301toDNlLEG3w5yUeHn8cu548d\n3re97rF/Tk1yxfDz9vSZ3LclvTX7WjvPblNVu6pq90Y++1igrKrfT/LTST6Q5QeLZouX4+8QFyb5\niySPUMQDIDJchgMwRfJbfgMwTb+XlU2hLkjy74cMP7K1tpQkrbUdVfW1JE9IctbcGKe11p66Hxl+\nTpJL55b90PB6IP4O/W+zfONtklydoSnTBjL8uqraucEM3z28PjHJbyX5xhq77E6fRfbpmkIB3Oi5\nBncNDsA0yXAZDsD0yG/5DcA0yXAZDgAAzNl+qE8AgOlrrR2V5LgkR6QXvW6T5HNVdck6xxm7lD90\nXJTkqiSvqqrrhmW7xu1nHr64rLX2/CRPSnJKeify2yb5+dbaz1fVWCBbjyuSvD/Jd2a5cPfoJC/M\nyoLWfpn5zCckuVN6p/Qj0mtznzoQ3eQXVVVvba39Q5IfT3LfJI9L/93hgvRC53lJzk7y/qq6+FCc\nIwD7R4ZvnAwH4FCR3xsnvwE4lFprN0tyhyTHpN+Qeq8k76mqc9c5zphnD5hb9edVdeXw85jlqaqd\nw+sFrbUnpOfKEcPqpSS/0Vp7V1VduN7PlH6j58eTPGpm2QOH11033HxjZj7zyVnZDGvM0KXxd5WD\nraqe21p7UZKXpWf4Kem/z3wjydeTfCHJu9N/x/rEoThHADbONfjGuQYH4FCS4RsnwwE4VOT3xslv\nAA4lGb5xMhwAAFiUxlAAbEhr7aZJ7pNe3DklyR2H/05K8q9JPt9a+2KSlyY5q6quXqsoVVXVWrtT\neiFv7Kr+r0n+fo1z2TaM/z+T/HqSWw+rviPJaUnett4HQ6rq+tbah4a329OLg/drrR0783DNfpvp\nwv6NDDObD8bu7oekiDdjZ1W9rLW2I/2Bm+uSnJj+73NJVW3awz0AHBwyfHPIcAAOJvm9OeQ3AAdb\na+3EJE9M8oPpN3Ien94Yalt63l3TWvt6kj9M8idVdclaOTpk+CPSb2Yd7Uryu2ucy9Iw/uuS/FCW\nZ/G8U5KnJ3lea23H2EhqEVV1VWvtzKxsDHWL1tpJVfWVRcdZ4Dhjhl+6j/WHpCnUjKur6kdba0cn\nuUn6jcL3Sr9x99yZG5UBmADX4JvDNTgAB5sM3xwyHICDSX5vDvkNwMEmwzeHDAcAABa1be1NAGCl\n1trjk7w8yauS/EaSp6QX305KL3gdl+T+SZ6Q5G1JXtFau39V7WmtrZU9Lf2BlrGo9bksz16+L2Mx\n7I1Jzhx+3ple0PvhxT7VXn02yfnDOe1OcqsM3ecX+Bzrde8k12T5c3+gtXaTTT7Gug3F1VZVO6vq\n6qraXVVfrqqLFPEApkeGy3AZDjA98lt+y2+AaWqtPSfJB5K8OMlj0m+EPTbLf59t6U2EbpPe1Olj\nrbUfqardrbWlG464wrasvDH0yiQ3XWOf8abRFyX54txYz1hj39W8NzMzsw7j/VjSm1Htx7h788i5\n9+e31o7f5GOs20yGX1NVlwxZ/tGq+rimUADT4hrcNbhrcIBpkuEyXIYDTI/8lt/yG2CaZLgMl+EA\nAHDwaQwFwEJaa0e11p7cWnt/krckeXKS2w+r5ws62+eWPzHJa1prd1ugY/n9k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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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eHiGEEEIIsYE2OR15u48jb9dRaGLjrTcwg1tLAsmA7pAMCYNd+2b0GRAhhJAagWsngl3r12DX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\n4KUB6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3Z7n8y8hbLqyG2UxrFFwJ4RsXN9Tvt3cDpwRX0/RJnQcjnDg1jGek7W11WUhE3NPTZi+Hco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\nzP2OzPzrpuL5DM7hEZRBFTsyNrPGMZl54Uwa7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LWWP/jNyclJ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\nkp8HN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G0p8GvpTOKe6Evgmx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\nquop6zkfAAcPY3BjcADGS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fddTdmBQADBBLbPjo4OjWXn448/1v/gBz8oUPJyHIfi4mLodDp0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\n+/bt023cuNHY3d2tOZNcf/31/S+99FKvLMt8e3t7mSKHAgC73e622+2e2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bp0adSrVw9v\nv/02zMxe74zVN+k6+/TpU5w5cwZPnz5FUlISypQpgwoVKqB58+awtrZ+5fqhoaE4f/48IiMjkZaW\nhrJly6Jy5cpo2rQpzM3N81w3IiICISEhCA8PR3R0NNLS0mBnZye/TurUqZMv/RekrKwsBAUFISQk\nBC9evICNjQ3c3d3h6+uLKlWq5Ms53qS9bKqnT5/i9OnTeHjwGCL3HoVrpkA5MxvUt3SCtaT7GmX3\nfhOUWjgRFmXdjNYvLnv/ypUrqF+/PoQQaNGiBU6ePJnn3pQws7WGY88OcOzZAenB95CwYS8SAw5B\nJKcaX/yPrPBniJn1C2LmroH9h+/CaUAX2Db31fgsT0RERERERERERERERERERERERERERERERETF\n0gEAk9TGbSVJkhSGG7XTGh8XQiTlX2s4AKCx2vh9AFsVrn1fa7w/XzrKzU9r/GsBnYf+hRjYRERE\nr7VvvvkGz58/BwB8/fXXisOarl27hokTJ+Lo0aPIzs7OdX+VKlUwfvx4DB8+PF/7falixYp49OjR\nK9Vo3rw5Tp06ZXBOZmYmgoODcfHiRfnnxo0byMzMlOeEhoaiYsWKeeohLS0NV69e1agfEhKi8Zya\nGkh64sQJtG7dOk/9qFMaFBYVFYVJkyZh27ZtSE5OznW/i4sLBgwYgBkzZsDOzs6kHp4/f67x3Fy8\neBHPnj2T7+/fvz/WrVtnUs2kpCRMnToVp0+fxvXr1zV+l7rUqFEDw4YNw+jRo2FlZWXSuW7evInp\n06djz549yMrKynW/paUl2rdvjzlz5qBWrVqKaubH3m/ZsiVOnDhhdJ6/vz9+/PFHBAUF6Z3j4OCA\nXr16Ydq0afDw8DCpj6ysLMyZMwfLly/HkydPct1vZWWFTp06Yf78+Sa/xtLS0vDjjz9i5cqVBp+v\n8uXLY+jQoRg/frzJ+7OgFfV1FkCeA0fmzZuH8ePHK55/8OBBfP/99/jrr7903u/s7IxevXph1qxZ\nJod4CSGwdetWzJw5E7du6Q6fLlOmDAYNGoRp06bB1tZWUd3169dj27ZtOH/+PGJjYw3OdXR0RI8e\nPTBlyhRFIXDr1q3DwIEDFfVhyPHjx9GqVSuDc6KiojBnzhysWrUKCQkJOuc0aNAA06ZNQ+fOnfPU\nR0Hs5dq1ayMsLMzkXkaNGoWffvrJ6LzXZe87SuboZF0K4+wqwtks558XJAc7uP13DBw/+dBgn8Vx\n7/v4+MDPzw9bt27FqVOnsHnzZvTu3VtRX6/K2rsqSs0dB9dvRiBp1xHEr92DjOC7ygtkZSN533Ek\n7zsOyyoecOrfGY49P4C5i3PBNU1EREREREREREREREREREREREREREREREREBeksgCgAbv+MKwNo\nBeC4grWDtcZ7868tAMA+ADPUxt0lSRpjLBRKkiRHAN0LuDdIkuQNoKfaoSgAe/L7PPTvZVbUDRAR\nEenz999/Y9myZQCAsmXLYtSoUYrWrVixAo0aNcLhw4d1Bi8AwP379zFixAh8+OGHSElJybee85Oz\ns+Ev0Ddu3BiOjo7w9fXFsGHDsGrVKly+fNlowI8SkZGRqFevHhwdHdGkSRN89tlnWL9+PW7evKn3\nOS1sSsK7zp49i9q1a2PNmjU6w5oAICYmBgsXLkS9evVw584dRefesGEDPDw8ULZsWXz00UeYPn06\nDhw4oBHWlFdxcXFYvHgxLl26pOh3+ffff2PcuHGoW7cu7t5VHtywcuVK+Pj4YMeOHTrDmoCcQLAD\nBw7A19cXK1asUFz7VRn73aakpKBTp07o1auXwbAmICcA65dffkGtWrWwc+dOxT08f/4cTZo0wdSp\nU3WGNQFARkYGdu7cibp162LvXuV/6927dw9169bFlClTjIZbRURE4Ntvv0Xt2rUREhKi+BwF7d9y\nnTUmIyMDQ4cORceOHfUG1gBAfHw8VqxYAS8vL5w5c0Zx/YSEBHTu3Bm9e/fWG1gD5OzHH374AfXq\n1VO8DzZu3IjAwECjgTUAkJiYiNWrV8Pb2xurVq1S3P+rMvZaf3kNnz9/vt6wJgC4ePEiunTpgsGD\nB5v8HvWm7GVTKd37iSIbW9Ke4YO4y7iUmQCb5r7w+HMdnHp3NBjWVJz3/vTp02FmlvNPKZMmTUJa\nWpqidfnFzMEOTv06o/yx1Sh3aCUce30IydbapBqZ98MR/c0yPKrTFc9H/RdpQTdMDuAkIiIiIiIi\nIiIiIiIiIiIiIiIiIiIiIiIioqIlhFABWKd1+FvJ0Je7AEiS9B6AFmqHEgEE5HNv1wFcUDvkAGCi\ngqUTAdirjc8LIfR/CS0PJEmyBfALAHO1w1OEEOn5eR76d7Mo6gaIiIj0+eabb+TwhC+//BLW1sa/\njL5jxw6MHDlS/tK5JEn46KOP0LJlS9jb2+PWrVvYuHEj4uLiAACBgYHo06cPduzYIX/5Pj9UrFgR\nFhamvc0+efIEqamp8rhbt24G5xsLqnkVKSkpuHbtWoHUtrW1RZUqVUxak52djYcPH8rjkiVLokOH\nDgbX3L17F507d0Z0dLR8zNfXF127dkWZMmUQFhaGrVu34t69e/L8Dz/8EOfPn4ebm5u+sgCABw8e\nICIiwqTHkBcODg5o1KgRvLy8UKlSJTg7O0OlUiEyMhIXLlxAYGAg0tNzPvuHhITg3XffxaVLl+Du\n7m6w7sqVKzF8+HCNY02aNMGHH34Id3d3xMXF4eTJk9i/fz9UKhXS09MxcuRIODs7o1evXgZr58fe\nN3aO7t274+DBg/LY3NwcHTp0QIsWLVC6dGmkpaUhJCQEO3fuxOPHjwHkBDf5+fnh8OHDaN26tcH6\nqamp6NKlCy5evCgfc3d3R9++fVGlShVER0cjMDAQJ0+eBJATPOLn54djx46hSZMmBmvHxMSgdevW\nGvvH0dERXbt2ha+vL5ycnBAfH49Lly5h165dctDYgwcP0Lp1a1y/fh2lSpUyeI6C9rpcZ7WVLl0a\njo6OiuaWLFlS0bwBAwZg69at8tjc3BydO3dGixYt4OzsjCdPnuDAgQNyoM3Tp0/RqVMnnD59GrVq\n1TJYOzMzEx999BFOnTolH7OxsUG3bt3QuHFj2NnZ4eHDh9i9ezdu3rwJALhz5w46dOiA8+fPo2zZ\nsooeg5mZGby8vODr64tq1arBzc0N1tbWSEhIwO3bt3HgwAF5P6ampuLTTz+FhYUFBg0apLemk5OT\nydfxtLQ0+fUIADVr1kS9evX0zr9y5Qratm2rcW2oXLkyPv74Y1StWhUZGRm4evUqAgIC5DCnNWvW\nwNLSUnHAXGHt5ZIlS8LFxUXR3Ly8vgtl7wN4z8oVDSyd4CiZI1KVgWMZsbiWlQgAiFRl4NPM+zg9\nYzPKeb5lsHZx3vsAUL16dfzf//2f/B7z888/Y+zYsYp6yk+SJMHGtxZsfGvB9fvRSAw4hIT1e5B5\nx3AQoDqRnoGkgENICjgEq1qV4dT/P3Ds3g5mjvbGFxMRERERERERERERERERERERERERERERERHR\n62AOgOHICUQCgJYAJgGYrWuyJEnlAPyqdXixECLK0EkkSdL+P8a3FkKcMNLbNwAC1cZfSZJ0RAhx\nUs85XvaubqqRc0CSJCcA9kKIpwrmlgTgD+AdtcOnkfs5ITJIevnlVCJDJEnyAhD8chwcHAwvL68i\n7IiIipp6sObatWsxYMCAfK1/8+ZN1K5dG0II2Nvb48mTJ3BycjK45vnz56hatSqSkpIA5ARK7N69\nG23atNGYFxsbiy5dumgEBSxbtgwjR47M18dgivT0dLi7uyMmJgZAToDLgwcPDAYHqf8O7O3tUa9e\nPTRo0AD37t3Db7/9Jt8XGhqKihUrmtTPw4cPUalSJXlcokQJ+Pr6on79+jh9+jTOnTsn31cYnyV2\n7NiB7t27y+PRo0dj6dKlBtc0atQIFy7kBK9KkoQ5c+ZgwoQJGnNUKhXGjh2LJUuWyMe6d++OgADD\nIbDTp0/Hd999J48rV66M+vXro0GDBpg06X9/B/Tv3x/r1q0z+vjURUdHY+7cuejSpQsaN24Mc3Nz\nvXOfPHmCgQMH4vDhw4r7v3nzJnx9fZGRkQEAsLa2xtq1a3WGJF26dAmdO3fGkydP5LkhISEm7ydD\n0tPTUa5cOTlYy9XVFU+ePIGVlZXO+du3b0ePHj3ksaenJ/bu3asz+CUzMxMTJkzA4sWL5WPVq1dH\nSEgIDIUDT5gwAfPnz5fH3bp1w6ZNm2BjY6Mxb8uWLRgwYAAyMzMBAB4eHrhz506ueepGjRqF5cuX\ny+M2bdrA399fZ0hLZGQkevTogT///FM+NmTIEPzyyy966xe01+06W5DvRb/++iuGDh0qjz08PLB/\n/37UrVs319wNGzZgyJAh8l7w8vLCtWvXDL5+p06dipkzZ8rjOnXqYO/evbleXyqVCvPmzcNXX30l\nH2vfvj1+//13g/0vXLgQ7u7u6NChA0qUKKF3XnZ2NhYtWoSJEydCpVIByHkPunv3LsqUKWPwHKaY\nP3++xjV4/vz5GDdunM65GRkZqFmzJh48eCAfGzduHH744QdYWlpqzI2MjMTHH3+ssde2bt0KPz8/\ng/3k915OSEjA8ePH5fGYMWMQFhYGAPj2228xffp0g/2YqjD3/ltm1ljlVBM1LRxyzd2d9hxTku8j\nU+TsnTdl7587dw5NmzYFkBOY9ejRI4PX/sIihEDauWtIWL8XSQf+BDIyTa4h2dnCoVtbOPfvAuu6\nNQqgSyKi14f2+3fr1q2N/rsDERERFb2nT59q/M8MGjVqhLfeMhweTEREREWLf4MTEREVT3wPJyIi\nKn74/k1ERFQ88T2ciIioeLp58ya8vb3VD3kLIW4WVT+SJE0GMEvr8M8A/iuEePLPHDMAnQEsBuCp\nNu8JAC8hRJyRc+QlsAmSJB0C0E7tUBqArwD8IoRI+WeOPYChAH4AoP5FrYNCiI4KzuEN4BKAXQC2\nAzghhIjRmuMO4GMAXwMorXZXFIB3hBD3jZ2HSJ1ZUTdARESky8KFC+UgoF69ein6h6YZM2bIwQsA\nsGLFilzBCwBQsmRJ7N27F2XLltVYm5ycnA+d582ePXvksCYAaNWqld7Ampc+++wzrFu3DsHBwUhI\nSMDp06exaNEiNGjQ4JX7sbe3x7hx47B161bcuXMHMTExOHr0KObOnYvq1au/cn1TrV69WmM8ZMgQ\ng/N37NghhzUBwNChQ3OFNQGAmZkZFi9ejPbt22usvXjxosH6Pj4+mDVrFg4fPoyYmBjcv38fAQEB\nmDhxopKHY5CrqyvmzJmDpk2bGgy8AAB3d3fs378fNWvWlI/t3r1bDj/S5fvvv5fDmoCc4BFdYU0A\nUL9+fRw4cEAOSElPT8fXX39tysMxas+ePRr99u3b1+DeVw/AkiQJO3fu1BnWBACWlpZYtGgROnb8\n399id+7cwV9//aW3fkREBH766Sd57O3tja1bt+oM4vjkk0/w/fffy+Pw8HAsW7ZMb+3MzExs2bJF\nHr/11lvYu3evzrAmICcEZP/+/RrXqoCAAI3fX2ErztdZU2RkZGj8bq2trREYGKgzrAkA+vXrhx9/\n/FEe37x5E2vWrNFbPyoqCosWLZLHrq6uOHz4sM4wNDMzM0yaNAnjx4+Xjx06dAhHjhwx+Bi+/PJL\n+Pn5GQysAQBzc3OMGzdOI1AoMTER/v7+BteZSv06bmlpiX79+hmcqx7W1KdPH8yfPz9XWBOQ8zr5\n7bffNEIGp0yZYvR18qbsZVOlxcRh+pf/22tWkLDaqZbOsCZYWmDwjGlYuOjN2/tNmjSR/0E1MjIS\nmzZtMrqmMEiSBNum9VBm5beoeG0nXL4dAYuK5UyqIVJSkbhxPyLaDkFEu2FI2PwbVMmpBdQxERER\nEREREREREREREREREREREREREREREeWDOQAOaB0bASBMkqT7kiRdBhANYDc0w5pSAfQwFtb0ivoB\nCFUb2wBYBCBKkqRgSZJuIic06UdohjXdBzDAhPNYAfADsBNAtCRJ4ZIkXfrn5zGACOSEVWmHNXVg\nWBPlBQObiKjQxMfH49ixY/j5558xe/ZszJo1C4sWLcK2bdtw6dKlVw6guHHjBjZv3oy5c+di6dKl\nOHDgAFJSUvKpe+DixYvYvHkz5s+fj3nz5uHcuXNG12RlZeHMmTNYv3495s6di4ULF2LLli0IDQ01\nulaf7OxsXL9+Hdu2bcOiRYswc+ZMLF68GJs3b0ZISEie676kUqlw8uRJrFq1CrNnz8batWtx8uRJ\nqFSqV66tVExMDDZv3iyPBw0aZHRNYmIifv31V3ncqFEjvSE0QE4Aw7fffiuPnz17lu/hFKZQ7x0A\n2rZta3TNkiVL0L9/f3h5ecHMLH/f0kuVKoX58+fDz88P1apVgyRJ+VrfFOHh4Th8+LA8rl+/vt7Q\nlJfUg1NsbGzwww8/KJ4vhMDixYsNzu/SpQsmT56M999/HyVLljQ4t6BZWVlh+PDh8jgrKwuXL1/W\nOTcpKQm7d++WxzVr1sTgwYMN1vfx8UGfPn3k8datW/H48eNX7Pp/tPe+sX4uXbok327QoIGigDL1\n5wcArl69qnfuzz//jLS0NHk8d+5cnSExL40fPx7lyv0vDMPQ3rl//z7i4v73N2ufPn3g4KAjBEWN\no6MjevfuLY8TEhI0gmwKU3G/zpri+PHjCA8Pl8cDBw6El5eXwTUjRoxAlSpV5PG8efP0zt25c6dG\n4M+ECRNQpkwZg/W//fZbjfDCuXPnGpxvqtGjR2uExAUFBeVb7TNnzmh8RuncubPeoDIA2LBhg3zb\nwsICs2fPNljf0dFRI3QnNDQUO0tm1EwAACAASURBVHbs0Dv/TdrLpkg9cwUBjTvjcWK8fOxjmzKo\nbmGfa66VV1WU/+MXlPyiL0aOHv1G7v2BAwfKt5csWZKvPeUHc7eSKDn6E3j+tQVvbV8I+44tASNB\nkNrSr9zGiy9m41GdroiavAgZIXn/G4aIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiICoYQQgWgOwDt\nL76ZA6gMwAdACa37ogF8KIQ4U8C9PQfQGsA1rbtsAXgBqAXNoCYAuAqgtRDixSucujwA339+3AFo\nf1n+DICGQohL2guJlGBgExEVuAcPHqBXr14oU6YM3nvvPYwcORKTJ0/G119/jbFjx8LPzw8NGjSA\nk5MT2rdvj5MnT+qs8/DhQ0iSJP+cOHECAHDkyBH4+vqiTp066NOnDyZNmoQxY8agU6dOKFOmDCZM\nmIDU1FSjfa5bt06j/ksrVqxAlSpV0LBhQ/Tp0wcTJkzAxIkTsXLlSr21IiMjMWrUKJQqVQrNmzfH\ngAEDMGnSJIwbNw69e/dG5cqV4evrqxFCY0hiYiLWr1+Pzp07w8XFBXXr1oWfnx/Gjh2LqVOn4osv\nvkCfPn1Qs2ZNeHp6YtGiRXkKwFq9ejU8PDzQsmVLfPrpp5g8eTIGDRqEli1bokKFCli6dKnJNfNi\n69atSE9PBwCUL18e77zzjtE1gYGB8hoAGDp0qNE1vXv3hq2trTxWD7IpTA8fPsTRo0flcfXq1VGh\nQoUi6eV1tHbtWo3AsCFDhhic/+zZM5w/f14ed+vWDS4uLgbX1KxZE82bN5fHBw4cQGZmZh47Lnw1\natTQGL94ofvvj9OnT2s8rm7duimq36NHD/m2EAK7du3KQ5e5ae/9xo0bw9vb2+Ca6Oho+XbVqlUV\nnadatWoa45iYGL1z1a8Dnp6eaN++vcHaFhYWGqEd4eHhuHjxos656r0DBdN/QSrO11lTHT9+XGP8\n8ccfG11jZmamMe/u3bu4ceNGvtV3cHDABx98oFEjP/dCyZIlNUKU9F1H8mL16tUaY0PX8aSkJFy4\ncEEev/POOxqhaPp07dpVI3Rn586deue+SXtZCVVqOqKmLsGT/4zBmceagTwdrNw0J5uZocTYfih/\neBWsvar+c+jN3Pvqvd+4cUNvWGJRk8zMYNeqIcqu+y8qXN2Bkl8Nhrl7aeML1agSkhD/606Et+iH\nx51GI3HHYajS0o0vJCIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIqJCIYRIE0L0AvAxcgKP9EkGsBxA\nLSHEiULq7RGARgAmAXhiYOoTABMBNBZChJtwiggACwH8bawV5AQ19QTQQgjx0IRzEGlgYBMRFahj\nx46hdu3a8Pf31/hivC7p6ek4fPiw4hAjAFi8eDHat2+PK1eu6Lw/KSkJ8+fPR6NGjUwOHsjKysL/\n/d//YcSIEXjw4IHidfv370fVqlWxfPlyxMXF6Z135coVtG/fHl9++aXRmjt37sSAAQOwf/9+JCQk\nGJwbHh6OsWPHonXr1oofc3Z2Nnr16oUhQ4bgyRPdn3EiIiIwZswY9OzZUyM8pyBs2bJFvt25c2eN\nAC19fvvtN42xsZAVAHB0dNQIgzpy5AjS0tJM6DR/rFmzBkIIefz+++8Xeg+vKyEE1q5dK4/t7Ozw\nySefGFwTGBiosUeV7AVA83mPi4vDmTMFGgibr7SvC66urjrnhYZqBnHUqVNHUX3tefv27TOhO/20\n976xMC4AGuFbycnJis6jPa90ad1BFaGhobh9+7Y8btu2LczMjH9c1n7NHjhwQOc87eCw/O6/oBXn\n66ypCvq1ol7f3t4eVapUMbl+VlYWAgMDFa1TQgiBpKQkeazvOmKqxMREBAQEyGMPDw+0a9dO7/zw\n8HBkZ2fLY6XPvYODAypXriyPAwMD9QbvvUl72Zi0y7cQ0WYQ4lduBwBEZGs+phoW9vJty6qeKHdw\nOVynDIVkZakx703c+56envD19ZXHmzdvzreeCopFWTe4jBuACpe2oeym2bBr+w6g4HO2urTz1xA5\nYgYe1e2GqOnLkHHflH/3JCIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIqKCJITYKYTwAVANQB/khCRN\nA/AZgLYA3IQQo4QQkSbWlbR+Tpi4PkMIMReAB3LCm4YC+Pqfn6EAGgLwEELME0JkmFg7TggxTgjx\nNoDSANoB+BTAZOQ89s8BdAZQVgjRXAgRINS/4EyUBxZF3QAR/XtFRkaia9euSElJkY81bdoUrVu3\nhqenJ6ysrJCYmIhHjx7hypUrOH36NDIylL93Hj16FLNmzYJKpYKrqyt69uwJb29vqFQqXLt2Ddu3\nb5cDk4KDg9G+fXucPXsWNjY2iuqPHz8ee/bsAQB4e3ujU6dOqFixIjIyMnD79m1YW1vnWrNlyxb0\n69dPI2igcePGaNeuHTw8PJCZmYkbN24gICAAMTExAIAff/wRFhYWmDt3rqK+XFxc0Lx5c/j4+KB0\n6dKwtbVFdHQ0Ll68iH379iE1NRUAcPbsWfTs2RNHjhwxGjgyevRo+Pv7y2NLS0t06tQJzZs3h6Oj\nI0JDQ7F9+3bcvXsXAQEBqFmzpqJe8yI6Ohrnz5+Xx23atFG07tq1a/LtcuXKwcPDQ9G6pk2b4vjx\n4wByQsPu3LmjOBwiP6hUKqxbt04e29jYoHnz5oV2/tfdkSNH8PDhQ3n88ccfw8nJyeAa9b0AAE2a\nNFF0rqZNm2qMr1+/jlatWilaW9QOHjwo37ayskKjRo10zouNjdUYlyxZUlF97XlXrxoK1lVGe+/b\n29ujZ8+eRtc1bdpUvjafOXMG6enpOq/H6o4ePaoxbtGihc55ed07jRo1goWFBbKysgDk7B1datSo\nAVdXV0RHR8t9jR071mh99f7d3d0VB5zkt+J6nc2Lgn6tqNcvUaKE4r501e/du7fi9YacPHlSI7Qm\nv96L/P39NULHBg4caPBzSV6fe+25qampuHPnDry8vHLNe5P2sj4iIxMx89chbvEmQC3kMF5kacxz\nlnL+ycD50+5w+fpTmNnqvt6+qXu/TZs2uHz5MoCcsL4FCxbkS08FTbKwgH37ZrBv3wyZYU+RsHE/\nEjf/huwXMYprqGLiEb/MH/HL/GHbsgGc+neBfYfmkCz5z0yFRQgBZGRClZ4BkZYBkf7PT1oGRHp6\n7mMZmRBCwLpOdVi9XQmSglBKIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiKp6EEPcA3CvqPrQJIVQA\nLvzzUxD1XwD4oyBqE6njN+mIqMAsX74c8fHxAHJCaHbv3o0OHTronZ+QkAB/f39YWCi7NL0Ma/rg\ngw+wadMmuLi4aNw/Y8YM+Pn54cSJEwCAK1euYObMmZgxY4ai+osXL4aFhQWWL1+OIUOGQJIkg/Nv\n376NoUOHymFNZcuWxaZNm/Dee+/lmjtz5kz0798fBw4cAADMnz8fHTt2RMuWLfXWb9myJSZMmIB2\n7drB0tJS55wXL15g8ODB2L9/PwDg+PHjWL9+PQYOHKi37pEjR7BixQp5XKFCBezZswf16tXTmPfd\nd9/hm2++wQ8//KD4OcyLP/74Ayq14AB9wSrqVCoV/v77b3lctWpVxefTDj65detWoYYvHD58GOHh\n4fK4WbNmsLW1LbTzv+5Wr16tMR4yZIjRNbdv35Zvm5ubo1KlSorOpWsvFAd79uzBhg0b5PGgQYP0\nBpxo762XAW/GaM+LiorCixcvUKpUKRO7/R/tvd+zZ084OjoaXTd69Gg5sCk6OhrTpk0zGHgXGhqq\ncX/nzp1Ro0YNnXPV9w6g/FpiY2MDd3d3hIWFAdC/d8zMzDBy5Ej5Gnrw4EH89ttv6Nixo97a+/bt\n0wjkGj9+vNH3o4JQHK6zmzdvxpo1axASEoK4uDg4ODjAzc0NPj4+aN26NT755BOjgW8v6XqtKNmf\n2q8VfXtBvb7S16Ep9U31/PlzjBgxQh6XLl0affv2zZfa6tdxMzMzDBo0yOD8vF6ndM29detWrsCm\notjLhw4dwpkzZxAcHIyYmBjY2NjA1dUVtWvXRsuWLdGnTx+ULl1acR/aTN376TfvIXLUTGTczP1v\nbTaSZoBLVvlS8Fz2DWyb+Rjs4U3d+++++y7mz58PALhz5w4ePnyIihUr5ktvhcXS8y24fj0MLhMG\nIjnwNBLW70Hqqcsm1Uj98yJS/7wI89IucOrTCY59O8GyfJkC6vj1IYTQCknSdztdM1RJ79z0nFCl\n9AyoDM1RO55XVl5V4TJlCOzeb1oknyuIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIozBjYRUYE5\nduyYfHv48OEGw5oAwMnJCcOGDVNcX6VSwcfHB7t27YKNjU2u+8uUKYN9+/ahUaNGCAkJAQDMnTsX\nY8aMURwysnTpUgwdOlTR3FGjRiElJQUAUKJECZw8eRLVqlXTOdfFxQW7du1Cs2bNcOHCBQghMHXq\nVJw6dUrnfD8/PwwYMMBoD6VKlcLOnTvRunVrnDlzRn4MhgKbJkyYIN+2tbVFYGAgatasmWuehYUF\nZs2ahZiYGKxcudJoL3l1/vx5+fZbb72lKMDg6dOnSEtLk8eenp6Kz6c998GDB4rX5odff/1VY/z+\n++8X6vlfZ9HR0XIwDwDUqFFDUYCX+u/Q3d0d5ubmis5Xvnx5mJmZyYFhhb0XlMrKykJ0dDSuXLmC\njRs3YuvWrRBCAAAaNGhgMLxI+9oXGhqq6Jy6nov79++/UmCT9t5XEsYFAO+99x7GjBmDJUuWAADm\nzZuHsLAwTJw4ET4+PnLoQGxsLAICAjBt2jRERUUByAlbMXT90n6cpl5LXgY2Gdo7U6ZMwaFDhxAU\nFAQhBLp27YoJEyZg2LBhGucLDQ3FqlWrsGDBAvlYp06d8PnnnyvuKT8Vh+vskSNHNMaxsbGIjY3F\n3bt3ERAQgK+++gqTJk3CpEmTYGZmpqdKDl2vFSXBPNqP7f79+0brx8bGIj4+Hs7OzvlW3xghBJKS\nknD37l0EBgZi0aJF8uvE1tYW/v7+isOtDAkODsZff/0lj9u2bYsKFSoYXJPX65RKpcKjR480jul6\nfopiL6t/tgGAjIwMJCQkIDQ0FPv27cPXX3+NkSNHYtasWbC2tlbcz0tK9/7EceOQsHwbYuauATKz\ndNZykTRDQTNXfAXbdwyHNQFv7t7XDjg9f/58sQtsekmysoRDl9Zw6NIaGffCkLBhHxL9A6GKTVBc\nIzsyBrEL1yN20UbYtX0HTv27wO69xpAUfhYzlVCpcocfZWgGHKkMhB1p39Y7V2N+psbx4irj5j08\n6/0VrBt6w3XKUNg29y3qloiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIig0GNhFRgXn27Jl8u3r1\n6gVyjsWLF+sMa3rJ0dERCxYsQMeOHQHkfEF+w4YNGDdunNHa9erVw6effqqoj8uXL+P48ePy+Icf\nftAb1vSSpaUlli5dinfeeQcAcPr0aQQHB8Pb2zvXXEOPUVfdGTNmoE2bNgCAK1eu4Pnz5yhTpkyu\nuRcuXMDVq1fl8RdffKEzrEnd7NmzERAQgNjYWMU9meLy5cvybS8vL0VrEhI0v0ju4uKi+HwlS5bU\nGCcmJipe+6pevHiBffv2yeO3334bb7/9dqGd/3W3adMmpKeny+PBgwcrWqe+H0zZC5aWlrC3t5f3\nQGHuBUMuXryIhg0bGpxjbW2N4cOHY+bMmbC3t9c7r379+hrjI0eOYMyYMUZ70A4DAXK/7kyhvfdr\n1aqFJk2aKF6/aNEilC1bFjNmzEBqaiq2bduGbdu2wd7eHm5ubkhLS0NkZKQcZCVJErp3746lS5ca\nDIHLr2tJZmYm0tPTdQav2NjY4PDhwxg1ahS2bNmCjIwMzJw5EzNnzoSLiwucnJwQHx+vcY21s7PD\nl19+iW+++cZo0FBBKS7XWXt7e7i4uCAzMxPR0dHIzMyU74uPj8eUKVNw/Phx7N27F7a2tnrr1K9f\nH6tXr5bHR44cURTYpP1aSU9PR0ZGBqysrHLVP3r0KICcAJmjR4+ia9euRuu/XPOSKa9Db29v3Lx5\n0+CcZs2aYdmyZahbt67iuoaoP4eAsmC28uXLo0yZMnj+/DkA4NSpUzqfQ21BQUG5ng9dz09R7WVb\nW1v5XFFRURrvb2lpaVi4cCGOHz+OQ4cO5SkMT8neD1ywDD/DEzaS/vAcbwsHbE9/Lo+PnT2Deu80\nNnr+N3Xve3h4wNnZGfHx8QBy3rP9/PxMqvE6sqrqCbfvR8Nl8lAk7z+OhHV7kXYhWHkBlQoph88i\n5fBZWJQvA6c+nWBR4a3/hR5l5A5MUhkIUhLp6f8LVVI7ri94jJRLvxCMJ//3OWxbNoDLlKGw8a1V\n1C0REREREREREREREREREREREREREREREREREb32iuYb30T0RrCzs5Nvnz17Nt/r16xZEy1atDA6\n74MPPoCHh4c8Vg8JMaR///6QJEnR3C1btsi3S5QooThYpnHjxhoBPX/88Yeidca0aNFCIyjkwoUL\nOuft379fYzx06FCjtUuUKIEePXq8WoMG3Lt3T77t6empaE1SUpLG2JSAK+3ADu1aBWnDhg0agQp9\n+/YttHMXB+pBH5aWlujXr5+ideq/Q1P2AqC5HwpzL7wKDw8PbNmyBYsWLTIY1gTkXDfVX1cHDx7E\nrVu3DK5JSkrC8uXLcx1/ldAd7b2v9Jr5kiRJmDx5Mu7du6cR9JGcnIxHjx7h+fPncliTq6sr1q1b\nh23bthkMawIK71ri7OyMTZs24fz586hXr558PCYmBg8fPtQIa/L29saxY8cwY8YMWFpaKu4nv72u\n11krKyv06NEDW7duRVhYGJKSkhAWFoanT58iKSkJp06dQp8+fTTez//44w/06dNH3iO6tGvXTmPN\nsmXLkJqaarCXq1ev4vDhw7mO63qttG/fXmO8YMECg/0AOZ9fQkJCjNbOCwsLC4wbNw6BgYH5FtaU\nkZGBjRs3ymM3Nzd06dJF0dp27drJt6OiorB27Vqja+bOnZvrmK7np7D2spmZGTp27Ihff/0V9+7d\nQ3JyMiIiIhAREYHk5GRcvHgRo0aN0gg0unLlCrp06aIR5qRPXvb+qejHGJd4x+Bea9/5I+59E6n/\nnaH+OfbfwMzWGo49OqDcwZ9R/s91cBrUFZKDnfGFarIiniNm9q+IHDEDL8bOQdRXPyL6m2WImfUL\nYhesR9xPWxH/604kbtyPpIBDSN53HCmHziD1xAWknb+G9Cu3kXHrATIfRCDrcSRUUXEQSSkMa8pn\nqX9exOP2n+Jpv8lIv3W/qNshIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiInqtMbCJiAqMr6+vfHvT\npk2YMWMGkpOT862+9he+9ZEkSeOL/5cvX4ZKpTK6rmnTpop7OXXqlHz7/fffNylUo3HjxvLtv/76\nS/E6QywsLODm5iaPHz9+rHNeUFCQfLtatWqoVKmSovodOnR4tQb1yMjIwLNnz+Sxu7u7onVpaWka\nY/XwA2PUg60AGA0lyE/qgURWVlbo1atXoZ37dRcUFIQbN27I448++ghlypRRtFZ9P5iyFwDN/VCY\ne8EQGxsbVKlSRf5xd3fX6DM8PBzdunWDj48PLl26ZLTeF198Id/Ozs6Gn58fXrx4oXNuVlYWBg4c\niPDw8Fz3vcrzo733lYZxqduwYQOaNWuGXbt2GZwXHR2N/v37o2HDhrhy5YrBuYV1LUlPT8fUqVPR\ntm1bXL161WDd4OBgNGnSBD179tT7eyoMr+t1NiIiAtu2bYOfn59GaAqQ02Pz5s2xceNGHDx4UCNI\ncteuXdixY4feulWqVEGnTp3k8YMHDzB06FBkZ2frnP/s2TP06tVLZ/CMrsfbpk0bjXCYs2fPYsqU\nKXr7+fvvvzFs2DBFtfXx9PSUryMVK1ZEiRIl5PuysrKwYMECeHh44McffzQaoKPEnj17EB0dLY/7\n9u2reN+MHTtWYzxx4kSNzyzaFi1ahN27d+c6ruv5Kay9fPToURw4cACDBw9GlSpVNEKQzM3NUb9+\nffz00084c+aMRpjcuXPnsGTJEqO9KNn7a2bOxYbGnWCr9mf/oYxoBGZEa5eDmaszyqz+Ho23LOLe\nN1G5cuXk22FhYSavLy6sa1VBqTljUfHGbpRaOBFWdaoXdUtUAFICTyOi1UA8//Q7ZNzP/fmPiIiI\niIiIiIiIiIiIiIiIiIiIiIiIiIiIiIgY2EREBWjYsGEaX07/5ptvULZsWfTo0QMrV67ErVu3XikQ\noHbt2nmam5SUhIiICKNrqlatqrj+tWvX5NteXl6K1wHQCKEx1pdKpcKxY8cwZswYvPvuuyhXrhwc\nHR1hZmYGSZI0ftRDmuLi4nTWCwkJkW97e3sr7tmU594UCQkJGnvC0dFR0TobGxuNcUZGhuJzpqen\na4xtbW0Vr30V586dw+3bt+Vxly5d4OrqWijnLg7UA30AYMiQIYrXqu8HU/YCoLkfCmsvGOPt7Y17\n9+7JP48fP0ZycjIuX76Mzz//XA6Iu3r1Kpo3b44//vjDYL0RI0agXr168vjGjRvw8fHBzz//jLCw\nMGRmZuLFixfYtWsX3nnnHTnURvv1qPT1qU3X3lcPmDNGpVJhyJAh6N+/Px4+fAgAaNiwITZv3ozw\n8HBkZGQgPj4e58+fx/jx4+Xf48WLF9GkSRP8/vvvemsXxrUkJiYGzZo1w8yZM5GYmAgA6N69Ow4d\nOoQXL14gIyMDL168wKFDh9C9e3cAgBACAQEBaNCgAR49eqS4p/z0ul5nS5UqpWhehw4dsGbNGo1j\n33//vcE18+fPh5OTkzzevHkzmjZtit27dyMqKgqZmZl49OgRli1bBl9fX/k91cHBQaOOvtfKTz/9\nBAsLC3k8e/ZsdOjQAYcPH0ZcXBzS09Nx584dzJ49G40bN8bz589haWmp8bsw5XV48OBB+ToSGhqK\n2NhYPH78GCtWrEDlypUBAPHx8fjyyy8xdOhQxXX1eZXruI+PD4YPHy6PExIS0KpVK3z99dcIDg5G\nWloaEhIScPLkSfTs2VMOeFJynSqsvaz0utagQQPs2bNH4zPz7NmzkZmZaXCdob0vhEDCpgMIbzkA\nTe7FYLZjNY37f0rRDBWy+6A5PE5ugEPn1gC4902l/rj1feb+NzFzsINT307wOLoa5f74BY69O0Ky\ntTa+kIqGpQUke1uYuTrD/C1l75kQAkm7jiC8WV9Ejp2DrMfPC7ZHIiIiIiIiIiIiIiIiIiIiIiIi\nIiIiIiIiIqJixsL4FCKivHnnnXfwww8/4KuvvpKPJSUlYfv27di+fTuAnC+bv/fee+jZsyc6duwo\nB48oUbp0acVztb/UHhsbC09PT4Nr1L+obkhycrLGF/inT5+O6dOnK+5Nuy99Tp48iREjRuDWrVsm\n101LSzN6vld5PvNLamqqxlg7VEEf7YAAfY9XyTm1axWUX3/9VWNsSpDFv11ycjL8/f3lcfny5dGh\nQwfF6x0cHJCSkgLAtL0AaO6HwtoLeWFubg4fHx/4+PigX79+aNeuHaKjo5GWloZevXrh1q1bel/T\nNjY22LVrF9q2bYsHDx4AAB4/foyRI0fqPd97770HLy8vLFmyRD5WsmTJPPX+qnt/zpw5GkEwI0aM\nwNKlS2Fubi4fs7S0ROPGjdG4cWP07dsXbdq0QXR0NNLT0+Hn54fg4GCUL18+V21d1xKl1yGl15JP\nPvkEly5dAgBIkoSNGzeid+/eGnPc3NzQrl07tGvXDps2bUK/fv0ghEBYWBh69OiBs2fPajzewlAc\nr7PaevbsiYULFyIoKAgAEBwcjIcPH6JixYo651erVg3+/v74+OOP5WtKUFAQunbtqvcc06ZNw8GD\nB+XfsZmZmd7PE82bN8fKlSsxbNgwZGdnAwAOHTqEQ4cO6a2/YsUKTJw4UX7+8/o6fMnd3R2ffvop\n+vbtix49euC3334DkBO21KRJEwwePDhPdR89eoQjR47I4yZNmqBWrVom1Vi0aBEePnwoh6ylpqZi\n1qxZmDVrlt7HMm3aNIwYMUI+puv5eR33cpMmTdC9e3cEBAQAyAl2O3PmDFq1amVyraxnUXgxdg5S\njpyXj3W0LoU1qY9xLSsJAHAnOwUR2WnwLOkGt1mfw6FHe43AKO590/a+nZ2dfPvl8/WmsKn3NmwW\nfQXX70YhafthxK/fi8yQ0KJu6/ViZQkzaytINlaQrP/5Ub9tbQXJxlq+bWZjBcnKUsd869xrbaxy\naqvP0ahtCUnr80L6tb8RPesXpB77y3jv2dlI3HQAiQGH4DzgPyjxeR9YlHYpoCeKiIiIiIiIiIiI\niIiIiIiIiIiIiIiIiIiIiKj4YGATERWoSZMmwdfXF1OnTpUDEtS9ePEC/v7+8Pf3R+XKlbF06VJ8\n+OGHimrb2toq7sPe3l5jnJSUZHSNhYWyS2RcXJziPozR9yXvPXv2oEePHsjMzMx1n52dHZydnWFj\nYwMzMzP5+KNHj5CVlQUAEELorJucnCzffpXnM79oP+cv+zdGOxDAUPCVNu3fn6Ojo+K1eZWUlCSH\nMgBAhQoV0LZtW0X78k2wfft2JCQkyOMBAwZo7G1jnJycEBkZCcC0vZCZmanxmiiMvZAffH19sWbN\nGnTp0gUAEB0djaVLl2LGjBl611SqVAl//fUXRo0ahe3bt+u9RkiShBEjRmDevHkYO3asxn1ubm4m\n96pv7ysVExOD//73v/K4Xr16+Omnnwzujzp16mDVqlXo1q0bACA+Ph5z5szB0qVLc83VdS0pUaKE\not7UryWWlpawtrbONef333/XCCT57LPPcoU1aevTpw+CgoLkfoOCgrBnzx758RSW4nad1adr164a\nn0fOnTunN7AJAD744AOcPn0aw4cP1/k55iV7e3vMmzcPI0aMwLZt2+Tjrq6uGkE42gYNGoQKFSpg\n9OjRCAkJ0TvPzc0NK1eun9Hx5AAAIABJREFURNeuXTUCifLyOtTFzs4O27Ztw9tvv42IiAgAwPff\nf4+BAweadP19ae3atVCpVPI4L8FP1tbWOHDgAL777jssWLDAYBBO69atsW7dOpw5c0bjuK7n53Xd\ny127dtW4Pp47d86kwCYhBJL2HEXUxIVQxSXmur+dlZsc2AQAN6uVwv+zd9/RUVV7G8e/J71CEkho\noXeJCiIgRRERkCsCCgIWVBT1cgUV9dWrKPZewX4tqFgQRFBpIlKUXlQgIXRCSSgJ6X0mc94/AmMm\nJJmZkCrPZy0Ws8/svc9vhp1zJsOcZ3p/PwOvJg1KnE9r3/W1X/T1uTvhs/8knnWDqTt+BHXuuI7c\nDdtJ/3w+mT+uhPwzf3epao4BR6dCj0oIRPIoITypxJAle98i4UhnzOf7d2BSOY6hlcn3wvY0/vY1\nctZtJfmFj8hdv9X5oHwLaf+bQ/qXP1H3rusJuecGPENqx+tkERERERERERERERERERERERERERER\nEREREZHKoMAmEal0AwYMYMCAAcTExLBkyRJ+++031q5dS1JSkkO//fv3M2TIED7++GNuv/12p/Pm\n5OS4XEPREBaAoKAgl8c6ExAQ4NCuX78+devWLddckZGRZ2xLTExk3Lhx9ovBvby8GD9+PCNHjuSi\niy4iNDS0xLmaN2/OoUOHytxfYGCgPRjnbJ7PilL838XVmho1aoSfnx+5ubkATh93UQcPHnRot2rV\nyuWx5TVr1iyHcKbyBmL8U3388cf224ZhuB300bJlS/bu3QtAQkICBQUFeHp6Oh135MgRh4CRqlgL\nFWXo0KE0b97cvp4XLFhQZmATFB6rvv32W5588knmz5/PmjVrOHbsGHl5eTRu3Jhu3boxduxYOnTo\nAMDhw4ftYwMCAmjfvr3bdZ7t2v/xxx8dQlv+85//uDT+uuuuo0mTJsTHxwPw/ffflxjY1LJlS4f2\noUOHzthWmqLHktLWzqxZsxzaEydOdGnuSZMmOdT7/fffV3lgU207zpam+Lo9He5Wli5durBhwwZW\nrFjBokWL+OOPP0hMTMTLy4vIyEj69+/PjTfeSHh4OKZp2tfZ6bHO9O/fn+joaBYvXsySJUuIjo7m\n5MmT+Pn50axZM/71r39x/fXX28Po8vPz3ZrfVYGBgdxxxx08/fTTQOG/8fbt27nwwgvdmsdmszFj\nxgx7OygoiNGjR5erJk9PT5555hkmTpzI3LlzWbFiBYcPHyYtLY3w8HA6duzImDFj6Nu3L4ZhnPEz\nVtLzU1PXcnnW5mkFJ1NJfPgNsn5cUWqfVp6OwZz5NwwsNazpNK1919Z+0derlRVqWlsYhoH/JRfg\nf8kF1H/uXjJmLSZz4W9YDhzB8PQsMdTIo7RgpKK3ff6+XXJ/3xIDmPDxLjM47Fzm3/NCGv/4Njkr\nNpL8wkfkbd3ldIyZnUvqWzNJnzGPkHtuoO6dI/EICnA6TkRERERERERERERERERERERERERERERE\nRETkn0aBTSJSZTp16kSnTp148MEHMU2T7du388MPP/Dpp58SFxcHgGma3HvvvQwZMoSIiIgy53Pn\nQvbExESHdmkhR+UREhKCp6cnBQUFADz00EM88sgjFTb/p59+SmpqKgAeHh4sWLCAQYMGOR13ekxZ\nQkND7YFNZ/N8VpTg4GACAwPtgVCu7sfDw4P27duzdetWAHtYjyv27dvn0D7vvPNcHlten3zyif22\nh4eHSwFl54pdu3axZs0ae7t///60aNHCrTnOO+88fvnlFwCsVitxcXG0bt3a6bjqWAsVqXPnzvYw\nEXd+Bs477zyXHuu2bdvsty+66CKXQrCKO9u1f/pn/LSLL77Y5bFdu3a1h4kkJCSQmppKSEiIQ5/i\nz8PevXvp27ev07lzc3NJSEgodZ7TitZfp04d2rZt61Ltbdu2pU6dOvbjdUxMjEvjKlJtO86Wxt/f\nMbSmaACYM/369aNfv35l9tm3b59DqGH37t1dmtvT05MhQ4YwZMiQMvsV/Tl0Z35Xde7c2aG9d+9e\ntwObfvnlF4cQpDFjxpx1UGZERAQTJkxgwoQJZfYr+vx4e3uXGOpTU9dyeddm1pLVJD7wCgWJKWX2\n8zUcw+3cCerU2i9b0dfQjRo1qtC6ajPPeiGE3HMDIffcUN2lSCkMwyDgih749+tO1sLfSH7xIyy7\nDzodZ0vLJPmFj0j76DtC7htLnVuH4uHnWwUVi4iIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIjUDB7O\nu4iIVDzDMLjgggt44okn2LVrF6NHj7bfl5WVxbx585zOsX37dpf3Fx0dbb8dGBhIkyZN3Cu4DIZh\n0L59e3v7yJEjFTY3wK+//mq/PWDAAJfCmpKSkuzBHmUpWnfR58gZd/q6q2g4jzvPZdGL6o8cOeLy\n2LVr19pv+/r60q5dO5f3WR4xMTGsX7/e3h44cCBNmzat1H3WJh9//LFDe/z48W7PUTxgYd26dS6N\nK7oWAM4//3y3912dfH3/vlD+dIBcRdm9e7c97AjgyiuvdHuOilj7RcNAALdCYAIDAx3aJYWVlHft\nbNy4EavVam+XtnaK1u9ugE3R+t0JWqlIteU4W5bjx487tOvXr1+h8y9fvtyhXZ6fFVfnNwyD/v37\nV+j8RY8jUL5jSUUcx8vDZrOxatUqe7t37974+fmV2LcmrmV312ZBeiYnJr3AsbGPOg1rMnx9yBt+\nmVvzu+tcXvtFz4/NmzevsJpEqophGAQN6UvT3z4n4t0peLVo7NK4gsQUTj4+nUM9biR95k+YFqvz\nQSIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIi/wAKbBKRaufj48P777+PYRj2bTt27HA6bunSpS7N\nb5qmQ9+LLroIT09P9wstQ79+/ey3V6xYUaFzF70IvHiYSGmKXzRfmh49ethv79mzhwMHDrg0bsmS\nJS71K4+oqCj77T179rg87l//+pdD25X1kZGR4RAg079//1LDHSrKJ5984tC+4447KnV/tYnFYuGL\nL76wt+vVq8fw4cPdnmfw4MEOxxNXjxW//PKL/XZISAh9+vRxe9/VqejPb4MGDSp07i+//NJ+29PT\ns1zrtiLWfmhoqEP72LFjLo89evSoQ7tevXpn9GnZsiUdOnSwt5ctW4Zpmk7nLrp2AIYMGVJiv6L1\nnzx50iHkqSwWi4WTJ0/a2yXVXhVqy3G2LKtXr3Zot2zZskLnL/qz0r59e/r27Vthc9tsNr7++mt7\ne8CAAQ4hhxWh+OsAd48lSUlJ/Pjjj/Z2VFSUw2uNyrRy5UqH4KW77rqr1L41cS27szazV23myGW3\nkjFrsdN5fS9sT+Syj/nD1/F4o7XvqLxrPycnx2Hd1bawR5GiDE9PgkddRbM1X1L/1QfxbOhasFtB\nwgkSH3iFw73HkvH9MkybrZIrFRERERERERERERERERERERERERERERERERGpXgpsEpEaITQ0lPDw\ncHvbYrE4HbNjxw7WrFnjtN+SJUs4dOiQvT1s2LDyFVmGMWPG2G/HxMSwbNmyCpu7aFhIbm6uS2Om\nTZvmUr9rrrnGof3xxx87HZOWlsbs2bNdmr88unXrZr+9c+dOl9YCFIYv+Pr62tsfffSR0zFfffUV\nOTk59va1117rRqXuy8/PZ+bMmfZ2eHh4pazH2mrBggWcOHHC3r755psd/k1d1bBhQy655BJ7+7vv\nviMlJaXMMTt37nQIy7j66qvx9vZ2e9/VJS4uji1bttjbF198cYXNffToUYdjyrBhw4iMjHRrjopa\n+23atHFoFw9KKk1aWhobNmywt5s3b46Pj0+JfYseBw4ePOg0yMVqtTJjxgx7OzIystTnv2j9eXl5\n/Pbbby7Vv3LlSvLz8+3tdu3auTSuotWG42xZEhMTmTVrlr3t7+9focFsCxcu5Pfff7e377nnngqb\nG+D999/n4MGD9vbEiRMrdH4oPF6e5u3t7XJQ5GkzZ850WKtVFUpos9l49NFH7e1GjRoxYsSIUvvX\ntLWcn5/Phx9+6LBtwIABZ/SzZeWQ+MibHB05GWv8iTPud+DlSegjt9Nk8Qek1QvS2neivGs/Ojoa\nW5FwmqKvY0VqK8PHm7q3DafZxlnUe+YePMLqujTOcuAIJ+5+miP9xpG1ZLVLoZciIiIiIiIiIiIi\nIiIiIiIiIiIiIiIiIiIiIrWRAptEpNLExcW53Dc+Pp6kpCR7u0WLFi6Nu++++8jLyyv1/qysLB56\n6CF728fHh1tuucXlulzVp08fLr30Unt7/PjxHD161K05LBYLBQUFZ2xv3ry5/fbixYtL7FPUW2+9\nxdq1a13aZ7du3ejcubPD2F27dpU55rHHHiM5Odml+cujb9++9tv5+fn89ddfLo0LDg7m9ttvt7fX\nr19fZrBUSkoKzzzzjL0dERHBDTfcUOY+WrRogWEY9j/u+uGHHxzW+S233FKrQoEqW/HAsPHjx5d7\nrvvvv99+OycnhylTppTZf/LkyQ7t++67r9z7PluZmZlu9bdYLNx9990OgREjR46skFqys7O58cYb\nSU9PByAwMJA33njD7Xkqau0PGjTIof3OO+8QHx/vdNxTTz3lELRSfJ6iJkyY4BDk8vDDD5cZHPfa\na6851HDfffeVeny46qqrHNpPPPEEVqu1zNrz8/N5/PHHHbaVVX9cXJzDceryyy8vc3531KTjrMVi\ncfrcFWW1Wrn11lvJyMiwbxs9ejR+fn4uz1GWvXv3ctddd9nbnTt3ZsKECRUyN8CGDRscAomGDBly\nRuhiUe4eRwA+//xzVqxYYW/379+fkJAQt+b45JNP7Ld9fX0ZO3as23WUx6OPPsrGjRvt7enTp5ca\nygaVv5bLem1akokTJzqEi15++eUOr/8AcjZs4/Dl4zj5yXdYnYSgeHdoSeSSDwl7aBwFBlr7TpzN\n2t+0aZP9tr+/P927d3d7/yI1lYe/LyETxtB8y2xC/3sHHsGBLo3L37GfY2MfJf6qu8letVnBTSIi\nIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiLyj6PAJhGpNG3btuXmm29mxYoVDkEixSUnJ3PzzTfb+xiG\nwbBhw5zO7+HhwZYtWxg5ciQpKSln3J+YmMiwYcPYsWOHfdvDDz9MeHh4OR6Nc++//z5BQUEAHDx4\nkG7durFw4UKn4/bu3cvzzz9Py5YtSUxMPOP+osEce/bsYdKkSSWGVFgsFp5//nkeeOABoPD5ccWr\nr75qv52dnc3gwYPZtm3bGf0KCgqYOnUq7733nstzl0fXrl2JiIiwt4teQO/M1KlTCQz8+0Liu+66\nq8TxKSkpDBs2zCFU64knnnAYWxmKBlnA2QUS/dPEx8fz888/29s9evQgKiqq3PNdf/31dO3a1d7+\n4IMPSgwastls3H///SxZssS+bcSIEXTr1q3c+z5bUVFRTJ06lX379jntu2PHDgYMGMDSpUvt27p1\n68b1119f5rh3332XNWvWlHkB/bZt27jiiitYuXKlfdurr756RoiIKypq7Tdr1swhjColJYWBAwc6\nHOeLslgsTJ06lbfeesu+zdPT84yArqKaNm3KPffcY29v27aNm266qcQAlm+++YYnn3zS3m7SpAkT\nJ04sde7rr7+epk2b2ttr165l1KhRJZ7DAE6ePMl1113nEETTsmVLRowYUeo+KltNOc7Gx8fToUMH\nPvzww1Kfv9P27NlD//79Wbx4sX1bQEAATz/9tNP9PP744+zdu7fMPvPmzaNv374kJCQAhUFFn376\nKV5eXmWOS0lJ4bnnnrOPK4lpmnz88ccMHDjQHrgTFhbG+++/X+bcTzzxBMOHD+fXX391GvSYlZXF\n1KlTueOOO+zbPD09efHFF8scV9z69euJiYmxt4cPH069evXcmqOoBQsWMGfOnDLDjxITE7n11lt5\n5ZVX7NtGjRrlUmhdZa7lf//730ybNs1peGdCQgIjR47ko48+sm/z9PTk5ZdftrdtuXmcfOZ9Eq6Z\niDUunuO2fAambOGbnKOk2Yq9HjQMQibdSOQvH+F7YXut/SpY+0XXTL9+/SosCEukJvEICiDswdto\ntvlbQibdhOHv63wQkPdHLEdHTibh2vvI3bi9kqsUEREREREREREREREREREREREREREREREREak6\nhr7pXlxhGEYnIPp0Ozo6mk6dOlVjRVIbGIZhv92gQQN69epF586diYiIwN/fn+TkZP766y/mz59P\nenq6ve+ECRN47733zpgvLi6Oli1b2tuPP/44L7zwAjabjfr16zN69GiioqIwTZOtW7fy7bffkpqa\nau/fpUsX1q5dW+qF1J999hnjxo2zt8tzfJw/fz6jR48mPz/fvq1du3ZceeWVtG/fnjp16pCbm8vJ\nkyeJjY1l8+bN7Nq1y9736NGjNGzY0GHOjIwM2rRpw4kTJ+zb2rZty/XXX0/r1q3Jy8tj9+7dzJs3\nj4MHDwKFoQM///yzvf3kk0/y1FNPlVr3hAkT+OCDD+xtb29vhg4dSp8+fQgODubAgQPMmTOH3bt3\n2+crerH/jBkzuO2229x+vlyp54orruDXX391eezs2bMZM2aM/d/Pw8ODa665hr59+xIQEMCOHTuY\nOXOmQ8DH0KFDmTdvntMgqhYtWtifU3BvjRw6dIiWLVvag8l69erFmjVrHPqkp6efceF/nTp1Sp1z\n+vTpTJ8+/YztycnJDo+vefPmJYYnfPXVV/To0aPU+R955BHmzp17xvYTJ07YwxMAWrduXeL4VatW\n0aRJk1LnL+q5557jiSeesLf/97//ceedd7o0tjS7du2iZ8+eDs9F165due6662jQoAGHDh3im2++\nYc+ePfb7W7Zsyfr16x1Cw0rTpk2bErcXDVoKDg4uca4ePXrw1VdflTg+JCSEtLQ0oDC8qWvXrnTo\n0IHQ0FB8fX3JzMxk//79rF27lg0bNjiMbdKkCStXriy1ttOuuuoqfv75Zxo3bky/fv04//zzqV+/\nPhaLhYSEBJYvX866descwvacHUdK48rad3e+Sy65xCEIxdPTk6uuuopLL72UiIgIcnNz2blzJ99/\n/z1HjhxxGP/UU085hCyVJDs7m759+7J582b7tiZNmjB27FhatWpFSkoKixYtYtWqVfb7fX19+fXX\nX+ndu3eZcy9evJihQ4c6BO8FBwdz7bXX0rVrV+rUqUN6ejqbN29m3rx5ZGZm2vt5e3uzaNEirrzy\nylLnL36u7Nu3r0PoVkWoCcfZoo/T29ubnj170rlzZ1q2bEmdOnWwWq0cPXqU1atXs3z5coe17OXl\nxfz587n66qudPlY/Pz/y8vKIioqid+/edOjQgZCQENLT04mLi2PRokUO53FfX1/mz5/PVVdd5XTu\nY8eO0ahRIwzDoGvXrvTs2ZO2bdsSHBxMamoqe/bsYcGCBRw6dMg+JjQ0lGXLlnHRRReVOff999/P\ntGnTAAgPD+eSSy7hggsuoEGDBvbXIsePH+evv/5i6dKlZGVl2ccahsG7777LhAkTnD6GosaPH+8Q\nzrZ06VIGDBjg1hxFvfTSSzz66KMEBQXRr18/unTpQuPGjfHy8uLEiRNs2LCBpUuXkpOTYx8zaNAg\n5s+f73JoTkWu5aLn8OHDh9vn69atG126dKFNmzaEhIQAcPz4cdavX8/PP//s8JoRCgMG7777bgDy\ntu7i+MTnsew8YL//SEEul6cUHpu8MejsFcx5XoE0C29A41uG49GskdZ+Fa19q9VKgwYNSE5OBgrD\nCW+//XaXxorUZtZjSaS8NZP0L34Ey5lBwqUJGNCTsEfvxPf8tpVYnYh73P0dXERERGqGo0ePOgSc\nd+/enUaNGlVjRSIiIuKMfgcXERGpnXQOFxERqX10/hYREamddA4XERGpnWJiYoiKiiq6Kco0zZjq\nqkdEqt6Z6Q0iIpXg+PHjzJs3j3nz5pXZ76abbrJfZO1M//79qVevHg8++CBJSUm8++67pfbt1KkT\nP//8s8sX8JfX8OHDWb58OSNHjuTYsWMA7N692x505ExJQRbBwcF89913XHXVVWRnZwOwZ88eXnjh\nhRLnGDp0KG+//Tbt2rVzue533nmHlJQUvv32WwAsFgtz584tMaxn1KhRTJ061SGwqaKNHTvWHti0\natUqkpKSqF+/vktjR40aRWJiIpMnT8ZisWCz2fjhhx/44YcfSuw/cOBAvv76a6chImdrxowZDqEJ\n48ePP+s5k5OTHcKBSlM0/KSooiEXJTl+/LhL85fWx2KxOB0LhYEsM2bMsLcDAwMZM2aMS2PL0r59\ne3788UdGjBhhDzzbsmULW7ZsKbF/69atWbBggUthTVD64y4qIyPDIdzqtMjISJf2ER0dTXR0tPOO\nwGWXXcZnn33mENbjTEJCQqnBUacFBQXx4osvMnHiRJfnLaqi136zZs1YunQpI0aMsB9bCwoKWLhw\nIQsXLix1nIeHB4899pjTsCaAgIAAfvrpJ66++mr++OMPAOLj43nppZdK7B8cHMznn3/uNKwJYPDg\nwXzzzTeMHz/eHsyVkZHBF198wRdffFHquJCQED799NMyw5oA+7nntC5dujityV017ThrsVj47bff\n+O2335z2bdy4MZ999pnbQUKu/Cy2aNGCGTNmcPnll7s1t2mabN682SEgrCQXXHABM2fO5IILLnBr\n/sTERH766Sd++uknp33r16/P22+/7fYxODMz0/4aAgqfC2dr1Z25ndVvGAZ33nkn06ZNc+u1XmWv\nZZvNxoYNG84I1ytJ3bp1ee+997jxxhsxLVZS3ppJyhufg7Wg1DEWTDZZ09lkTYfDR+H5v0rtq7Vf\ntvKs/eXLl9vDmvz9/Rk5cqRb9YnUVl4N6xP+0mRC/jOGlNc+I+PbJVDktV5psn9ZR/Yv6wgcdgVh\n/70DnzbNqqBaEREREREREREREREREREREREREREREREREZGKV7npFCJyTvv666+56aabaNy4sdO+\nl1xyCd9//z1ffvkl3t7eLu/j/vvv5+eff6Zz584l3h8YGMhDDz3Epk2bCA8Pd3nes9G7d2/27t3L\nyy+/7DQ4xcPDg65duzJ16lT27NlTalDMpZdeysaNG+nXr1+pc7Vu3Zr333+fH374AR8fH7dq9vT0\nZNasWXz00UelfhN1kyZNmDZtGt9++22lhxv16tXLnipaUFDAnDlz3Bp/zz33sHHjRq688spSa23V\nqhXvvvsuS5YsITAw8KxrLkvxQKLg4GBGjRpVqfusTVasWMH+/fvt7dGjRxMcHFwhc/fp04fo6Ghu\nu+02AgICSuwTGhrK5MmT2bp1Kx06dKiQ/Z6Nd955h1GjRtGgQQOnfT09PRk0aBBz5sxh5cqVLoc1\nDR06lIsuuqjMn+WwsDDGjx9PbGxsucOaKmvtR0VF8ddff/HSSy/RqlWrMvt6e3szcuRI1q1bx7PP\nPuvyPho2bMj69et55plnaNiwYYl9fHx8uO6669i6dSvXXnuty3OPHDmS7du3M2nSJEJCQsrsGxIS\nwr333sv27dtd2kfRb1UICAjgv//9r8t1uaO6j7NhYWH85z//oVOnTi6dk1q3bs3LL79MTEyMW4E1\n48aNc/pz1bp1a55++ml27NjhVmBNcHCwS6+ToqKimDZtGlu2bHE5sGbcuHFMnjyZqKgol56ftm3b\n8uyzz7Jz585yBebNnj2bzMxMe/v222/HMAy35ymqR48eXHHFFWUGMPn6+jJkyBDWrFnDhx9+WK5g\nzspYy8OGDaNz5854eTnPR27cuDFTpkwhNjaWG2+8kfxdB4gf/G9SXvm0xLCmuoYXN/k1oq1ngEu/\nzGvtl+1s1v4333xjvz169Gh9i42cc7ybNSJi+qM0Xf0FgcOucHlc1g/LOdx7LCfufRHL4WPOB4iI\niIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiI1DCGaZrVXYPUAoZhdAKiT7ejo6Pp1KlTNVYktc3hw4eJ\niYkhLi6O1NRUbDYbwcHBNG/enIsvvtilUKe4uDiHC8dXrFjhcHH49u3b2bp1KwkJCfj5+dGiRQuu\nvPLKUkNaqsrevXvZsmULiYmJpKWl4efnR1hYGG3btiUqKsppWEdx+/btY82aNRw9ehRPT08aNWpE\nhw4d6Nq1a4XUa7PZ+P3334mNjSUlJYUGDRrQpk0b+vTpU+lBTUV98sknjB8/HoDOnTvz559/lmue\nhIQE1q1bR3x8PDk5OTRq1IiOHTvSrVu3iiy3QqSnpzuErfTr108X/1egrKwsVq1axaFDh0hJSSE8\nPJwWLVpw2WWXuR1yVlUOHjzIzp07OXjwICkpKVgsFoKDgwkJCaF9+/ZceOGF+Pv7l3v+lJQUNmzY\nwIEDB0hJScHb25uGDRvSokULevbs6VLYSE2wb98+/vjjD44dO0Z6ejo+Pj6EhobSrl07Lr744rM+\nDxQUFLB27Vr27t3L8ePHCQ4OJjIykksvvZSwsLCzmttqtRIdHc22bds4efIkWVlZBAYGUq9ePS64\n4ALOP/98PD09XZ5vwIABLFu2DICHH36Yl19++azqc0V1H2ezsrLYvn07cXFxHDt2jKysLDw9Palb\nty4NGzake/fuNGnS5Kz2cfDgQbZs2cLhw4fJzMwkKCiIhg0b0rFjR5eDZMqya9cutm7dSnx8PFlZ\nWYSEhNCwYUMuvPBC2rZte1ZzZ2RksH37dvbv38+JEyfIzs7G19eXunXrEhkZSZcuXUoNa6wJ8vLy\n2LRpE7t37yYxMZGCggIaNGhA48aN6d27d4WeJ89mLZd0Dvf19SUmJob9+/eTkJBgD7WqW7cu4eHh\ndO3aldatWwNgFhSQ9sFskl/8GDMv3+n+gscMxu+xO9hx8IDWfikqc+2np6fTqFEjsrOzAdi6dWuF\nPB8itVne9j0kv/gR2b+sc32Qtxd1bhlK6ORb8GpQr/KKEymFfgcXERGpnY4ePcrGjRvt7e7du9fo\n9zZEREREv4OLiIhOLRfKAAAgAElEQVTUVjqHi4iI1D46f4uIiNROOoeLiIjUTjExMURFRRXdFGWa\nZkx11SMiVU+BTeISBTZJTeAssEn+WfLy8mjTpg1HjhwBYM2aNfTq1auaq6pceoNNRM5Gfn4+ISEh\n5OTkUKdOHfbv30+9ego/EKkKZ3MOtxyI58SkF8jdsM1pX8/wMMLf+D8Cr+pT7lrl7E2fPp377rsP\ngMGDB7No0aJqrkik5sjduJ2TL3xE7hrXA3cNf1/qjh9JyKQb8QzV7z9SdfQ7uIiISO2kwCYREZHa\nR7+Di4iI1E46h4uIiNQ+On+LiIjUTjqHi4iI1E61IbDJMIzWQHcgEvABUoCdwFrTNHOrsS4DuAjo\nDESc2nwc2Ar8YVZCCI5hGA2BbkBLIBiwAMnAXmCraZopFb1P+efzqu4CRERESuLr68sTTzzB3Xff\nDcBLL73Ejz/+WM1ViYjUXOvXrycnJweA+++/X2FNIjWcaZqkfzafk0+9h5nt/P2twGsuJ/zVB/Gs\nF1IF1UlprFYrr7/+OgCGYfDcc89Vc0UiNYtf9/NpPG8aOb9tIfn5/5H3Z6zTMWZOHqlvf0X6Z/Op\ne88YQu4ehUdQQBVUKyIiIiIiIiIiIiIiIiIiIiIiIiIiIiIi8s9iGMZw4AkKQ5FKkmkYxmfA06Zp\nJlVhXd7AfcD9QJNSuh0xDOMtYLppmpaz3J8HcBNwD9CjjK6mYRg7gIXA86Zppp/NfuXc4VHdBYiI\niJTm9ttvp3379gAsWLCArVu3VnNFIiI11+lvVAgNDeWBBx6o5mpEpCzWhBMcHfUgSQ+/4TSsySMk\nmIj/PUmDT55RWFMNMHPmTA4dOgTAqFGjuOii0t63FDl3GYZBQN+LafLzhzT84gV8OrZyaZwtI4uU\nlz7h4MWjSH1/FracvEquVEREREREREREREREREREaivTNLFlZGGaZnWXIiIiIiIiIiIiUiMYhuFr\nGMaXwDxKD2sCCAImAjsMw7isimprCmwAXqX0sCaASOA1YJ1hGGX1c7a/DsBG4AvKDmsCMIBOwMNA\n4/LuU849CmwSEZEay8vLi7fffhso/I/VRx55pJorEhGpuZ588klM0yQ5OZm6detWdzkiUgLTNMmY\nvYTDl95KzspNTvsHXHkJTX//guBrr8QwjCqoUMqSl5fHU089BUBgYCCvvfZa9RYkUsMZhkHg4EuJ\nXPEpER9MxbtlpEvjbCfTODn1XQ51H0Pa5z9gWqyVXKmIiIiIiIiIiIiIiIiIiNRkBSnp5Kz5k7SP\n55L44Ksc+dcEDrS6qvBP0ytJGP0QmfOXY8vVFwOJiIiIiIiIiMi5yTAMD+Bb4KZidxUAB4C/gLRi\n94UDiw3D6FnJtUUAK4Auxe7KAWKAWCC32H1dgRWGYdQvx/76UhgO1bXYXQXAYWAL8Oep2yLl5lXd\nBYiIiJRlwIABvPfeexw/fhzDMEhNTSUkJKS6yxIRERFxizUxhaSHXiVr0e9O+xqB/tR/7l6Cb7pa\nQU01yIEDBxg3bhwAXbp0ITLStfAZkXOd4elJ8IgBBA3tR8asRSS/9jkFCSecjis4lkTSQ6+R+s7X\nhP3fOIJGDMDw9KyCikVEREREREREREREREREpDrYcvOw7D5Ifux+8mL3kb9jP/mx+yk4llTqGDMv\nn5zlG8hZvgGPkGCCrr2S4BsG49u5gz53IyIiIiIiIiIi55L/A4YV2/YB8KxpmglgD3UaBrwFNDvV\nJwCYbRhGlGmaxQOdKspnQOsi7Vzgv8BHpmlmn6otELgLeAHwO9WvLfApMNTVHRmGcSHwExBcZHPs\nqXkXmaaZXKx/HaA3cA1wg8uPSAQFNomISC0wYcKE6i5BREREpNwyF6wi8aFXsZ10/p6VX+8uREx/\nFO9mjaqgMnFHhw4deOqpp6q7DJFay/D2os7YoQRdP4j0z34gZdpMbEmpTsdZ4xI4cc/zpEz/irD/\njifw6sv0oVoRERERERERERERERERkVrMtNmwHjxKfuw+8mL324OZLPuPQEFBuee1pWaQPmMe6TPm\n4d2hJXXGDCZo5EC8GtSrwOpFRERERERERERqFsMw6gFTim1+1DTNl4puME3TBswzDGMjsBpocequ\nSOAB4MlKqG0gMLjIJgswyDTN34rVlgW8aRjGH8AvgPepu64xDKOfaZorXNiXD/A1jmFNbwKPmKZp\nKWmMaZrpwGJgsWEYDwKma49MRIFNIiIiIiIiIpWiIDWDpEffJPO7X5z2Nfx8CHtiAnXHX4fh4VEF\n1YmIVA8PP19C/j2KOjcPIe2j70h95xts6ZlOx1l2xXF83OP4du5A2KPj8e/XXcFNIiIiIiIiIiIi\nIiIiIiI1nDUxhfzYfYWhTDsLg5nyd8ZhZudU6n4tOw9w8qn3OPnshwT070HwmMEEDuqN4ePtfLCI\niIiIiIiIiEjt8jCOIUW/AS+X1tk0zXjDMMYDy4psnmwYxnTTNE9WcG3PFmu/VDysqVhtqwzDeBl4\nvMjm54DeLuzrUeC8Iu33TNN8wNVCTdOs3Dct5R9HgU1S45lWK9aExOouo9bzahyO4VW7f+RbtGiB\naSqUUERERERqvuxfN3Di/pcoOJbktK9v1/OIeGcKPm2aVUFlIiI1g0dQAKGTb6HOuGtJffcb0v43\nBzM71+m4vL92cnT0Q/j1vJCwx+7C/5ILqqBaEREREREREREREREREREpiy07l/xdBwqDmWL3FQYz\nxe6nIDGlegsrKCB76Vqyl67FI6wuwdddSfCYwfhc0E5fEiQiIiIiIiIiIrWeYRgewLhim58ynYQy\nmKb5q2EYvwOXntoUDIwC3q/A2s4HuhfZlAW86sLQV4DJQOCpdi/DMDqaphlbxr4iKAxsOu0g8H/u\nVSzintqd3iLnBGtCIoe6jqruMmq9Zltm492sUXWXISIiIiLyj+aRm0/GlLfJnbXEeWdvL8Ievp2Q\niTfU+nBVEZHy8gwJpt6Uu6h750hSp31J2mfzId/idFzuuq0kXHMPAf0vIezR8fhe2L4KqhURERER\nERERERERERERObeZBQVYDsSTv+PvUKb8HfuxxMVDDf9iXltyGmkfzyXt47n4dGpN8JjBBI0YiFd4\naHWXJiIiIiIiIiIiUl69gPAi7f3AShfHfsLfgU0Aw6nAwCZgWLH2bNM0M5wNMk0zwzCMOcBtxWor\nNbAJuBXwLdJ+1TTNbFcLFSkPXREqIiIiIiIiUgECdh0mcsZicpPSnfb16dSGiHen4NupTRVUJiJS\n83lFhFH/+XupO2E0Ka9/RsY3i6GgwOm47F/Xk/3regKH9CXsv3fg075lFVQrIiIiIiIiIiIiIiIi\nIvLPZpomBcdPFgll2kde7H4su+Mwc/OrpSaP0Dr4dGyFT8dW+J7XGs9G4WQvXUPm979iS890a678\nmH2cfOIdTj79PgEDelJnzGACBvTC8NYlNiIiIiIiIiIiUqtcXaz9i2m6nKz+S7H25YZhBJqmmVUB\ndcGZtS11Y+wvOAY2DQFeLKP/HUVuW4Fv3diXSLno3WQRERERERGRs2Dm5tHw2xXUW7YFw9nbWR4e\nhNx3M2EP3Ybh410l9YmI1CbekQ2IePMRQibeSMorn5L5/TKXxmUtWEXWot8JGjmQsIfH4d28cSVX\nKiIiIiIiIiIiIiIiIiLyz2DLzCZ/5wHyY/eRv2M/eadCmmzJadVSj+Hrg3e75vh0bI3veYUBTT7n\ntcazQT0Mw3DoGzigJ/WenUT24tWkf7OInJWbwOXr0QBrAdmLV5O9eDUe9UMIHjGA4DH/wjdKX8Im\nIiIiIiIiIiK1Qudi7bWuDjRNM8EwjDigxalNPsB5wKazLcoofCPvgvLWBqwp1r7QMAyjpDAqwzBa\nA+2LbNpummaSG/sSKRcFNomIiIiIiIiUU+6fsaRMeIb6+4447evdphkR7zyGX9dOVVCZiEjt5tO6\nKQ0+fJKQe28i+aVPyF6y2vkgm43M2UvInLeMOjcPIfSBW/FqWL/yixURERERERERERERERERqQVM\nqxXLvsMOoUz5sfuwHjxaPQUZBt4tmuBzOpSpQyt8zmuFd8smGF6uX+ri4edL0LX9Cbq2P9aEE2TM\n/pmMWYux7DvsVjm2pFTSPpxD2odz8Dm/LcFj/kXwiCvxrBfi7iMTERERERERERGpKh2LtXe4OX4H\nfwc2nZ7vrAObgOZAQJF2lmmah1wdbJrmQcMwsovMEQg0BUqao1ux9tbTNwzDaALcCgw9VVMocBI4\nDCwHvjNN8w9X6xIpSoFNIiIiIiIiIm4yLVZS3viclDdnQkGB0/51776esCl34+HvWwXViYj8c/h2\nakOjmS+SuzmG5Bc/Iue3Lc4HWaykz5hPxjeLqHPHdYROukkfoBURERERERERERERERGRc4ZpmhQc\nTSRvR2EgU37sfvJ37Cd/z0HIt1RLTZ7hoYWhTB1b4dOxdWFIU7sWeAT6V+h+vBpHEHr/WELuu5m8\nTdGkz1pM5rxfMTOz3Zonf/seTm6fxsmn3iVwYG+CbxhMwBU9MLx1CY6IiIiIiIiIiNQMhmH4A82K\nbXYvxfzM/u3LX1GZ87hb1+kxRedpj2uBTfsNwzCAe4GXgeIX9DU+9acH8KhhGN8Bk0zTPFaOGuUc\npneLRUSkXApfpxSaMWMGt912W6XtKz8/n99//524uDgSExMJCwujadOm9O3bl4CAAOcTVLCUlBR+\n//134uPjSUtLo1GjRrRp04aePXvi4eFR5fWIiIhI1crfHceJ/zxH3tZdTvt6NWtExPRH8e/dpQoq\nExH55/K7uBON575F9u9bSH7hI/I2xzgdY+bmk/buLNI//5GQCaMJmTAaj+DAKqhWRERERERERERE\nRERERKRqFKRnFgYynQ5lii0MabKlZVZLPUaAHz7tW/4dznReYUCTV3ho1dZhGPh1Px+/7udT/7l7\nyVr0GxmzFhd+SZBpuj6RxUrWwlVkLVyFZ3gYQdcPJHjMYHw7tqq84kVERERERERERFxTHzCKtC3A\nCTfniC/Wjjirikqf50g55ojHMbCptNraFGunAx8Cd7q4n5FAN8MwrjJNc6d7Jcq5TIFNUi6ZmZmk\np6dXyb7MID/CVn1aJfv6J8sO8sOoon8zOffk5ORUyjEhKyuLF154ga+++oqUlJQz7g8KCmL48OE8\n88wz1KtXr8L3X9zBgwd5/PHHWbJkCfn5+Wfc36hRI+644w4mT56Ml5f7p9isrKwz2llZWVxyySUc\nOuQY+JmWlub2/CIiInJ2TJuNnM9/JOuVz1z6tkG/0YMIfGw8lqAALHotLiJSMS5sS/Csl/FdsYms\nN76gIPaA0yFmZjYpr84g9aPvCLj7evzHXo3h71cFxUpNVtLv4CIiIlLzZWdnn9Guqv+zFBERkfLR\n7+AiIiK1k87hIjWPmW+h4EA81l1xWHfFUXDqb1tCYvUU5OGBZ4vGeLZvjlf7Fni1a4FX+xZ4NG2A\n4elp72Y99Yfqfh9v4CUEDbwE/4QT5H6/nNy5y7AdOurWFAWJyaS9N4u092bhdX5b/EZcie81ffEI\nCa6kokXco/O3iIhI7aRzuIiISO2UmXlGYHprwzBK6lqWRNM03Q1YKiqoWDvbNN1JKweg+IuP4nOW\nV/F5yvMix9XaQoq1bwEuKtL+A5gF7DnVbgeMAboU6dMcWGQYRmfTNPWhRHGJ4f7Pm5yLDMPoBESf\nbk+fPp1mzZpVY0UiUt2GDx9uvz1p0iT69+9fofPHx8fz/PPPk5CQ4LRvaGgojzzyCB06dKjQGopa\nv34906dPP+NikJK0bduWKVOmEBJS/PWd+z755BN++umnM7bPnz//rOcWERER13mfTKPJp0sI2nXY\naV9L3UDibxtE5vn6Jj0RkUplM6mzeRcNfliD7/EzQ35LY6kbSOKQS0i59AJML0/nA0RERERERGoA\nw1qAd3IG3snpeJ8s/ONz8u/bBiZ5DcJI69ae9K7tsPn5VHfJIiIiIiIiIlIepon3yXT8jiThF5+I\nb3wSfvFJ+B5LxiiwVUtJlrqB5EaGk9ekPrlN6hfebhSG6eNdLfVUCNMkYE88oWujqbNpF555zr+8\nrSQ2L08yOrcmpVcUmZ1agKdHxdYpIiIiIiIiIiI10qFDh7j33nvPdpqnTdN8qryDDcPoBmwssum4\naZoN3ZxjAvBekU0LTNO8prw1FZn3/4BXimz61jTNMW7O8S0wqsimh0zTfL2EfluBC0qYwgbcC7xX\nPMjKKEzXuh94HSiatDXDNM3b3alTzl1e1V2AiIhIcWlpaTzzzDMcP37cvq1x48Zceuml1K9fn5SU\nFNatW8eBAwcASElJ4fnnn+eVV16hUaNGFV7Pzp07ef3117FY/v7P2KioKC666CICAwM5duwYK1eu\nJCWl8ALhPXv28OKLL/Lss8/i41P+D8Pv3r2bhQsXnnX9IiIichZMk5C1MTSatRzPnHyn3VO7d+Do\njf0pCPKvguJERM5xHgbp3TuQ3rUdIetiiPhxLT7JGU6Headl0firX6n/8yZOXNOL1EvO04dmRURE\nRESk2nnk5uN9Mu1UEFNGYRBT8t+hTF5pmRhOvo/LJzGN4OgDFHz9K+ld25HaqxNZ7ZqCh9vf3ici\nIiIiIiIiVcAzM+dUIFPiqYCmJHzjk/DMdf4ZlcpQ4OtdGMoUGU5uk/r22//Iz8EYBtntIsluF0nC\nDVdQd8seQtZGE7TT+Ze5FeVhLaDu5t3U3bwbS91AUnueR2qvKPIa16ukwkVEREREREREROz8irXL\n88ZiXrF2Rb0ZWJW1BZWy/RHTNN8t6Y5TAU5vGoYRCDxb5K6xhmE8ZZrmIfdKlXORAptERKTG+fDD\nDx3Cmq6++mruuOMOPDz+voB21KhRzJs3jy+++ALTNMnIyOCNN97g1VdfrdBa8vPzee211+xhTV5e\nXkyaNIm+ffs69Lvhhht48803WbduHQC7du3i66+/5rbbbivXfq1WK++++y42mw3DMGjSpAlHjhw5\nq8ciIiIi7vFMz6LJzF+o8+dep32tgX4k3Hwl6d06VEFlIiLiwNOD1D7nk9ajI6G/bSN84Xq807Od\nDvNJSidyxhLqL97IieG9Sb+onS5iFhERERGRymGaeGZk28OXCkOZ0vFOzrC3vbJzK2x3nnkWQtfG\nELo2hvz6dUjt2YnUnp3IjwipsH2IiIiIiIiIiOsMixXfoyfxO5KEb5FwJu/UzGqpx/QwyGsYdiqU\nKZzcyPrkNqmPpV7dc/L/TE1fH1J7dSK1Vye8E1MJWbeD0LXR+CSluzWPd1oW4Us2Eb5kE9mtGpHS\nO4q0bu2xBRS/Nk1ERERERERERKRCFP/AkU855vB1Mmd5VWVtJW2PBd5wYR8vAbcCbU61vYDbgadc\nGCvnOAU2Sbl0796djh07VncZIlJDdOzYkX79+lXIXFu2bGHt2rX2dv/+/fn6669L7NuvXz88PDyY\nMWMGAHv27CE9PZ1hw4ZVSC0A06dPJykpyd5+7LHHePDBB0ut5/LLLycmJgaAJUuW8OKLL9K4cWOX\n9pWVlcXGjRsBmDt3LgcPHgTg5ptvpqCgwOF5qKjnW0REREqW98s6Mp7/GPNkqtO+Hpd2Ye+wHlhD\nCsO4u3fvTmBgYGWXKCIiJRk4APOxXHK++JHs/83FTHP+AWe/Y8k0++AnvDq1JmDyWHwuvxjDOPc+\nhHyuKfo7OOj8LSIiUlskJiYSHR1tb0dFRREeHl6NFYkUMq0F2I4lUZCQiC3+BAXxJwr/Tjj9dyLk\nledL4s6eT1I6ET+tI+KndXh364Tvdf3xHXwpHsEB1VKPiJx79Du4iIhI7aRzuEj5mDYbtsPHse6K\nw7orjoLdp/6OS4ACW7XU5NGwPl7tW+DZvjle7VsU3m7VFMPXu1rqqRVGXYtps2HZGE3u3GXkLV4N\nOXluTRGw/ygB+4/S5NuV+A7sid/IAXj3uhDD07OSihbR+VtERKS20jlcRESkdoqNjS2+aRiwz81p\nEs+yjOIXTJQnOdzfyZzlVZW1lbT9E9M0nb4pa5qm1TCMT4EXimzu62J9co5TYJOUS1BQEHXq1Knu\nMqSWSUtLY8uWLezatYu0tDRsNhsBAQE0atSINm3acP755+PjU55wxELbt29n27ZtxMfH4+/vT8uW\nLbniiisICKiYDxtv3ryZXbt2cfToUUzTpE+fPvTs2bPMMVarlQ0bNrB3716OHz+Ol5cXDRs2pGfP\nnrRs2bJcdRQUFBATE0NsbCxHjx4lKyuLoKAg6tevT9euXenQoUO55j3NZrOxevVqdu7cSXJyMg0a\nNKB169b06dMHDw+PEsf4+/tX2DHh448/dmi//fbbZc79+uuvM2vWLHJycgD43//+x9ixYyukFtM0\n+eCDD+ztJk2a8MQTT+DlVfrp87XXXmPw4MEA5Obm8tVXX/Hss8+6td/Dhw/z3XffARAREcG0adOY\nPHmyQx8dg0VERCqHLSOLpCnTyfhmkdO+RoA/9Z+biDm0L9aVK+3bAwMDda4WEalOdepQ9+HxFNw9\nmrT3viX1g9mY2TlOh1lj9pE+/in8up9P2GN34t+7S+XXKjWGzt8iIiK1Q1ZWlkM7ICBA53CpErbs\nXKxHjmE9fBxr/HEsh4/93T5yDOvRJLBVz0WX7rBsisGyKYasZz4kcEhfgkcPxr9PF10oKCIVzjRN\nLPsOk7txO7a1f9J6zR945FuwhAXDoKN49+uBb9fz8PAr/mWYIiIiUlPpfXSRMxUkpZAXu5/8HfvJ\nj91Hfux+8nfGufR/k5XBIzgQn46t8DmvFT4dWxfe7tgKz5DgaqnnH2FgHxjYB1tmNpk/riDjm8Xk\nrt/q3hz5FvIW/Ebegt/wbBRO8KhBBN8wGJ/WzSqnZpEidP4WERGpnXQOFxERqR2CgoKKb9pnmmZM\nFZdRPKgowDAMwzRN0405iidFVlZgU3kSKV2traTtq9zYT/G+F7sxVs5hCmwSkUq3f/9+pkyZwrx5\n88jLK/3bRXx9fenbty9TpkzhsssuO+P+uLg4h5CjFStWcPnll7Ns2TIefvhh/vzzzzPGBAUF8e9/\n/5tnnnkGf//iIYqOPvvsM8aNG2dvn34t8sEHH/Dqq6+yf/9+h/633nprqYFNJ06c4Omnn+brr78m\nNTW1xD5dunThpZdeYuDAgWXWBZCRkcH333/P3LlzWbVqFenp6aX2bdq0KQ888AD/+c9/3A7A+uST\nT5g6dSoJCQln3BcZGcnDDz/MpEmT3JrTHRaLhYULF9rbvXv3pmPHjmWOCQ0NZcSIEXz55ZcArF27\nlhMnThAREXHW9WzatIn4+Hh7+7bbbiszrAlg4MCBNGvWjEOHDgEwb948twKbTNPkvffew2KxAPDG\nG28QGhpajupFRETEXTlr/uTEpBewHj7mtK9f9/OJeGcK3i2blPnaTEREqo9n3WDCHh1P3TtHkDL9\nK9I/nYeZl+90XO7G7SQMvxf/y7sR9tid+HUp+/dSERERERGp3UzTxJaSjvXwMSxHjmM9HcZ05ATW\nI8ewHDmG7WRadZdZocycPDLnLCVzzlK8mkQQdP0ggsdcpQsFRaTcbFk55P21k9yN28ndHEPu5hhs\nyX8fO09/WsP3RCrZO78ie9pX4OONX9fz8O/VGb9enfG7OAqPgPJ8oaaIiIiISOUrSM0ofL27fht5\n23aRv2M/BYnJ1VOMtxc+bZs5hDL5nNcaryYRGIZRPTX9w3kEBVDnxqupc+PVWPYfIWP2EjK+XYL1\nyHG35ik4mkjqtC9JnfYlft2iCL7hXwQNvwKP4PJcqyYiIq4wTRProaPk7z4IBQV4NW+MT6tIDN/y\nf9m8iIiIiIhIDZIEmMDpNwa9gQjAnTeumhRrn6iAukqaJ7Icc7haW0mPd7cb+9lVrB1kGIa/aZrV\nk84vtYYCm0SkUi1fvpxrrrmG7Oxsp33z8vJYunQp3bp1KzGwqSTTpk3jgQcewFbKN9ZmZmby2muv\nsWTJEpYvX054eLjLtVutVq6//nrmz5/v8hiAn376iZtuuomMjIwy+/35558MGjSIyZMn88Ybb5TZ\nd+7cuQ5hUmU5fPgwkydPZs6cOcyfP9+lx1xQUMDNN9/MrFmzSu1z5MgR7r33XlavXs0333zjUi3u\nWr16NWlpf39oc9CgQS6NGzBggD2wyWazsWjRIm677bazrqdoeJSr9Xh4eNC/f39mzJgBQExMDHFx\ncbRo0cKlfS5evJjY2FgA+vXrx0033eRe0SIiIuI2W24eyc//j7QPZjvv7O1F2H/HE3LPGAxPz8ov\nTkREzppn/VDqPzORkH+PIuWNL0j/agFYC5yOy1m5ifiVmwi8+jLC/jsenw4tnY4REREREZGaxywo\noOD4SSyHj2G1BzIdP9UuDGYys2vXZ2s8wuriFdkA78gGeEU2xKtpA6xHjpMx9xdsSSV/mUxprPEn\nSH1rJqlvzcS3WxR1xgwmcFg/POsGV1L1IlLbmaaJ9chxcjdFk7txO3mbY8iL3gsFzt9vcZBvIXfd\nVnLXbYXXPwdvL/y6dMSvV+fCEKduUXgEBVTOgxARERERccIaf5yc9dvI3bCN3PXbyI/d73xQJfBq\n2tAhlMmnYyt8WjfF8PGulnoEvFtFEvbf8YQ+fDs5q/8gY9Zishaswswp/UuNS5K7KZrcTdEkTZlG\n4NWXEXzDv/DvcxGGh0clVS4i8s9ny8kjf9cB8rfvIS9mL/kx+8iP2YstI8uxo6cn3i0a49O+Bd5t\nm+PTvgU+7Vrg3aYZHoFlf1G8iIiIiIhITWKaZo5hGIeA5kU2N8O9wKbi3/C286wLK1Q8BKlpOeYo\nPqa02mKLtU2g7KAHR+klbAsFateHyqTKKbBJRCrNiRMnuO666xzCmnr16kW/fv1o1qwZPj4+ZGRk\ncPDgQf78809Wr15Nfn6+y/P/+uuvvPDCC9hsNurVq8fo0aOJiorCZrOxdetW5syZQ2pq4QeSo6Oj\nGTRoEGvXrgdQUI4AACAASURBVMXPz7VvZHzooYfsYU1RUVFcc801tGjRgvz8fGJjY/H19T1jzNdf\nf80tt9xCQZEPIvbo0YOBAwfStGlTLBYL27dvZ/bs2SQnF36zzptvvomXlxevvPKKS3WFhYXRp08f\nunTpQkREBP7+/pw8eZLNmzfz448/kpNTeO5fu3Yto0ePZtmyZXg4+c+7iRMnOoQ1eXt7c80119Cn\nTx+Cg4M5cOAAc+bMYc+ePcyePZuOHTu6VKu7tm7d6tDu2bOnS+N69erl0N62bVuF1+Pl5UW3bt1c\nrud0YNPpelwJbDpy5AgzZ84EwMfHx2mQl4iIiJy9vK27OH7Pc1h2xTnt69OpNRHvPo5vpzaVX5iI\niFQ4r8YRhL/2ECH33EDyq5+S+d0vYJpOx2Ut/I2sRb8TNHIAYf93O94ti39Jg4iIiIiIVCdbbh7W\n+ONYDx8vDGQ6cgzL4eOnwpiOY0044VJoa43h4YFnw/qFYUxNG+IV2eDUn4Z4N22AV5MGpQaY1Hvy\nP2Qv30DGN4vJWroGLFa3dp23KZrETdEkPTaNwH9dSvDowfhffrGCy0XOcWZePnnb95C7aTu5G6PJ\n3RxDwbGkit+RxUruxu3kbtxO6lszwcsT384d8O/ZuTDEqcf5eAQHVvx+RUSk2pkWK5aDCVj2HCR/\nzyEKklLwbhVJ8P+zd9/xUZT5H8A/M7sz27LpDUiDNCChCiEBARECBkTPguDd2c5+3qmnnu08xeMs\n593pedgbtp9STkBBARHphCYkkFBSIAmhhvStM7szvz8m2WQhye4m2YTyfb9evHZnduaZbxbI7sw8\nz+e5KZt+9xNCeoQsSRAOlynhTE0BTY5KX8YzdR0bbGwKZkoEP3gANE0hTfR78MLFsCz0E0ZBP2EU\nnK/+CeZv16Px6x9g21XgUzuy1Q7T/9bC9L+1UMdEwXjLNTDOyaH70oQQ0gFZluE8XQ2hsFQJZipQ\nAprEkmNAO5PBu3E6IZYeg1h6DMBmt5fUcX3AJ8eDS00A3xTmxKXE0yQHhBBCCCGEkAvZIbgHNg0G\nsMuH/c8NDeiuwKZyKIFHzcm4BoZh4mVZLvdmZ4Zh4gG07iRlBnCsnc0PnLs7AB6AtynrbYVPWNpY\nR4gbCmwihPjNO++8g/r6egCAVqvFsmXLcM0117S7fUNDAxYuXAi12rtfTc1hTTk5Ofjyyy8RGhrq\n9vq8efMwZ84cbNiwAQCwd+9evPTSS5g3b55X7b/55ptQq9V45513cM8994BhmA63P3jwIO69915X\nWFN0dDS+/PJLTJ48+bxtX3rpJdxxxx1YuXIlAOBf//oXZsyYgYkTJ7bb/sSJE/HnP/8ZU6dOBce1\nPTNOVVUV7r77bqxYsQIAsH79enz22We466672m33p59+wnvvvedajo+Px/LlyzF8+HC37V588UU8\n//zzeOWVV7x+D3118KB7gGVSkndhCAkJCVCpVK73/sCBc79Xdb2efv36eR32lZiY6LZ84MABXHfd\ndR73e+yxx1yBW7NmzcKAAQN8qJYQQgghvpAdDtS++SVq//Wp5wF7LIvgP9yK0Cd/B0bD90h9hBBC\n/Ifr3w9R7/wVwX/8DWr/8THM32/yvJMsw7TkR5iWrUPgr2cg5PE7oO4b6f9iCblMOM/WQjxSCXVc\nH6ijw3u7HEIIIYRcYJz1jU1hTKfgOHYKoiuc6RQcx07DWVXT2yX6hNHwUPeLbAljio0GF9MqmKlv\nJBiuc105GE4Nw7RxMEwbB2d1HUzL1qFx4SrY88+dsK5jsl2Aadk6mJatgyo6HMZZU2GcfQ341P6d\nqosQcnFxnK6GbXchbLv2w76zAPZ9RZDt3k++1X2FOGHfXQj77kJg/v8BLAvNsFRoxw6DbuxwaMcM\npYFyhBBykXHWNSqhTCUVEIsrIJSUQyyugFh2vM17trWvLUDY3AcRMGuax757hBDiC9kuwJ5/GNam\ncCbbzv2Q6nyZbL3zGA0PLjke/GAlkEnTFNCkig6n33UXMVVgAAJvm4nA22ZCKK1A48LVaFy0Gs6T\nVT6146g8jdrXP0Pt659BmzkMxltzEHDdpHbDuwkh5HIgiw4IJRUQCktgLyiGUFgKobAEzqpavxzP\nUXESjoqTwLrtbutVUWHgU+LBpSSAT0lQgpyS46GKCKHPcEIIIYQQQkhvywMwrdXyWACfebMjwzB9\nACS0WiXi/PCjTpFlWWYYZh+AMefU5lVgE4Bx5yzvk+V2Z+ze08a6KAAVXh7r3MEhTgD1Xu5LLmMU\n2EQI8Zuff/7Z9fyBBx7oMKwJAAIDA3Hfffd53b4kSRgxYgSWLl3aZpBOVFQUvvvuO2RkZODQISXM\n8bXXXsPDDz+MiIgIr44xf/583HvvvV5t+9BDD8FiUcISg4ODsWnTJiQnJ7e5bWhoKJYuXYpx48Zh\n165dkGUZzz33HDZv3tzm9nPmzMGdd97psYaIiAh88803mDRpErZu3er6GToKbPrzn//seq7T6bBq\n1SoMGnRuGCagVqvx8ssvo6amBu+//77HWjrjyJEjrucsyyImJsar/dRqNfr06YPKysrz2umueuLi\n4rze79xtvann66+/xpo1a1z733DDDV4fjxBCCCG+EUoqcOahv8O+56DHbdUJfRH51l+gGzO0Byoj\nhBDSkzSDBiD605dg23sQNS9/COsGLyaRcDjR8Pl3aFy0GoF3/Qohj/wWqvAQ/xdLyCXIcfw0TCs2\nwrxyI2w79wNN98/4QQOgn5IFfXYWtKPTwHgZ7k4IIYSQi5MsSXCeqYGj8rQSxtQUwuSoPAVHUzCT\n1Gju7TJ9wgYFQN0qgImLjVaWY6OgjomGKjwYDMv6vQ5VWDCC7rkJQffcBPvBI2hctAqmJT/Ceca3\ngCvnqbOom/8V6uZ/Bc2IQTDOyUHADZOhCgn0U+WEkJ4kOxwQDh6FbVcBbLv2w7arAI7yk71dVtsk\nCfa9B2HfexD1by8EWBZ8ehJ0Y4crAU6Zw+h3EyGEXABkpxOOY6chFJdDLCmHUFwBsUT54+uAamdV\nDc489BIaPvsO4a/+CZohbffFI4QQT5wNJth3FcK6PR+2Hftg33sQss3/oaTqhL4toUyDBoAfPADc\ngBi693GJ4xPjEPaX+xD69N2wbvoFjQtXwfz9Jp+DcG3b82Hbno+zz/wHhmuvQuCvp0ObNaxHrisR\nQkhvcdY1NgUzlSiPhSUQDh0FBLG3S4PzdDWsp6th3ew+BpgNCQSfHA8uNQF8Sjz4lARwKQlQ94uk\nICdCCCGEEEJIT1kJ4KlWy1MYhmE6CDdqbeo5y+tlWTZ1X2lYCffApmwAX3u5b/Y5yyva21CW5aMM\nwxQASG+1+gp4H9h0xTnLRV6+f+QyR1f7CSF+c+rUKdfzlJQUvxzjzTffbDOsqZnRaMS///1vzJgx\nAwAgCAI+//xzPP744x7bHj58OO6//36v6tizZw/Wr1/vWn7llVfaDWtqxnEc5s+fj8zMTADAli1b\nUFBQgPT09PO27ehnbKvdefPm4eqrrwYA7N27F6dPn0ZUVNR52+7atQt5eXmu5UcffbTNsKbWXn31\nVSxevBi1td0/I0FDQ4PrudFohNqHm9IhISGuwKbGxq7PdGS1WuFwOFzLoaGhPtXSmqd6qqur8cgj\njwAAGIbB73//e59+dkIIIYR4R5YkNHyyDNV/exey1e5x+8A7rkfY3N/TLHWEEHKJ044YhL5LXod1\n617UvPyhEhzjgWwXUP/eYjR8vgLBD9yCoN/PhirI2APVEnJxE8tOwLRyA8wrNrQbnikcPALh4BHU\nzf8/sMFG6CdlQJ+dBf3VY6AKC+7higkhhBDSVbIgwnH8DBzHT0M8dsoVzOSoPAXx2Gk4Tpy5IAZa\n+EIVFQZ1bDS4mCioY6Oh7hflCmPiYqPBGg29XeJ5NIMGQDP3IYQ9dz8s63cpAwVXb/H5vW8OSjn7\n1/kwTBsH45wc6K/OoIGmhFxEnHWNsO0uhL05oOmXg5AtVv8dUKWCemACTkcaIYYYoS89gaCjpyA3\ndEMYnyRB2FcEYV8R6t9bDDAM+MGJSnjTuBHQZQ2DKjSo68chhBDSJslkgdAUxCQWVzQFNFVAPFLp\ncyCFJ7ad+1E55R4E3nE9Qp+5hwL6CCEeOU6dhW37vqaApv0QDpQCkuS347FhQeAHJUIzaIArmIlP\n7U/9TS5zjEql3OealAFnfSNMy39G49c/wP7LAZ/akS02mBavhmnxaqjj+8A4OwfGW6aBi+/rp8oJ\nIcT/ZEmCo+yEEsjUKqDJUXm6t0vzmVTbANvO/ef1N2IMOiXIKaUpyCk1AVxyPLiEvmBUql6qlhBC\nCCGEEOKLuvcWw7plT7uvc42NeN/YMib/Ci7wrdKI8V0f4O6j4rBx2CjWCk5Z5ptWDUhXB2wpjRhf\n7Wnf/wsaMs4ktYyl76/S9SmNGP9dd9W2K3RM4B6xJTuAZZjbD4WPi+IY1tnRfqIsqT4MHDxNapWZ\nNIoLzC6NGJ8F4OfEqs3/aWO3ZXAPbLqpaZ03Zp2zvMHL/chljnrNEUL8Rq9vudG4bds2PPjgg93a\n/qBBgzB+/HiP2+Xk5CA2NhbHjh0DAHz33XdeBTbdcccdXifaf/XVV67nwcHBuPvuu73ab8yYMRg4\ncCAOHToEAFi7dm2bgU2+Gj9+PDQaDex2JYhg165duPbaa8/bbsUK9zDJe++912PbwcHBuOWWW/D+\n++93uc5zmUwtoZu+hFQBgE6na7Od7qjF13pa1+JNPX/6059QVVUFAJg6dSoGDhzo9bEIIYQQ4h3H\n8dM488irsG7c7XFbVVQYIv7zNAxTMnugMkIIIRcK3bgR6LvybVjW7UDNyx9A2F/scR/ZYkXt65+h\n/pOlCP7DrxF0z01gDTqP+xFyORFKKmBesQGmFRu8+n/VmlTXCNOydTAtWwcwDDRXDIZhShb02Vng\nhyTTbJSEEELIBUAyWZQgpuYwpsrTShhTUzCT83Q1cDFNNsapoe4XqYQvNQcyNT1y/aKUGbE1vOd2\nLlCMWg1DdhYM2Vlw1jbAtHwdGhet9nmgIAQR5hVKEKcqIhQBs6bCOPsaaAYn+qdwQkinyJIEsaQC\ntp0FsO0ugG1XAcSicr8ekw02QjsqDdrRQ6DNSIdm+ECYJAfyWk2AddWECdBWnoV1617YcvNgzc2H\nVNvQQatekmUITYP86j/8HwCAHzQA2qzh0I0bDm3WcKgjQjw0QgghpDVZluE8cQZCcQXE4nLlsbQC\nQnEFnCererYYSULDgmUwffszwp67D8Zfz6BBzoQQAMrvKrGkArbt+bBu3w/bjnw4yk/67Xiq6HDo\nModCM3IQ+EGJ4AcNgCoylO5ZkA6pgowIuuN6BN1xPYSiMjQuXIXGxWuUa2c+cJSfRO1rn6D2tU+g\nvXIkAufkwHDtRLpHTQi5oElmK4RDR1yhTEJBCewHSiGb/Rgi3h6VCnB2OCa428hmK+x5h2DPO+S2\nntHw4BJjwKckNIU5JYBLiQc/IOaivv9ACCGEEELIpUaWZTQuXg3nmZp2t2EdDqSrA1zLBkaVBsDR\n7g5+wjAMrlAHihbZ6Tqp4Bh2lCzL1R1dt7TLEp/AakPButqRwxkuEkB4d9UWwnIYzgWKDlnimlap\n7LI0gWPYDoOtbLJkHKwyuG4EcQwrBrFc8+D7I+3stgDA0wCajzWLYZi/y7J8qJ3tAQAMwwwF8Ktz\nVi/uaB9CmlFgEyHEb0aOHIn8/HwAwJdffomUlBQ89thjMBi6Z1bZadOmebUdwzCYOnUqPv74YwDA\nnj17IEkSWJbtcL+xY8d6XcvmzZtdz7Ozs8FxXAdbuxszZowrsGnHjh1e79cRtVqN8PBwHD9+HABc\nj+fauXOn63lycjL69+/vVfvXXHONXwKbbDab6znP+3axWaPRuJ5brV2/eN+6Fl/raV2Lp3rWrFmD\nL774AgAQFRWF2267zYcqCSGEEOKJLMswfbMWZ596A1KD51BHw/VXI+K1x2jWbUIIuUwxDAPDlEzo\nr86AeeVG1Lz6McRizwMZpbpG1Pz9fdS/vwQhf7oNgbdfR52oyGVLlmUIh44qA/hXboRwsL17Yj43\nDPvuQth3F6Lm1Y+gig6HfkomDNlZ0E0YRbNUE0IIIX4mCyKEovKmma6LlccDpZCq63u7NJ8wAXpw\nsdFKKFNsNNQx0VDHRoGLiYY6NloZYOnhHuKlQhUSiKC7bkDQXTdAKC5vGSh46qxP7TiralD/zkLU\nv7MQ/NAUGGfnwHjTFKjCgv1UOSGkPZLJAtveg7A3BzTtLoRU59/JO7nUBGhHp0M7Kh3ajHRwibHn\n/x5tcA9jYlQqaIYkQzMkGXjgFsiSBOHgEdi25cG6LQ/W3Lxu+3wRDh6BcPAIGj5ZqtSbEg/d2OHQ\njR0B7djhUEeFdctxCCHkYidZ7RBLj0EsqYBQUg6xuAJCcTnE0krIll4YRN0BqaYeVY/9Ew2fr0D4\nq49Ce0Vab5dECOlhsuiAfX8RbNv3wbZjH6w79vn1+gSXEg/tmKHQZQ6FdsxQqOP6UDgT6RI+JQFh\nzz+I0GfvhWXDbjR+/QPMq7cAguhTO7Yte2DbsgfMU68j4PqrYZyTA23mUPr3SQjpNbIsw3nqLOz7\nm+4hFJZCKCiGeKSyxyd2YHQa8IMGgE9LgiY9GXxaIjSDE8FoeIhHKyEcLlPOeQ6XQSgqh1hSAdku\n9Ehtsl2AcOAIhAPn9KVQqcAl9AWf2hzkFK+EOSXFUTAfIYSQy5pktYPVaTxvSAgh3Uw8XNZhWBMA\nsCoVgoNb+sdwrMrIAr0ys10gAI0sQW45/+Jlhg1XMUybAVIywDCypAludb6mZlinmmECOzqOVXK6\nnaBoWJWdBaSO9gmVZUmQ3TYJAKvi2ttPkmWWlyW30Rg8w0qM4NDKNrutrX0AQJblowzDfADgoebd\nACxkGOZqWZbb/MtkGCYCwNdwz93ZLsvyho5+JkKaUWATIcRv7rvvPnz66aeuD/fnn38er732GnJy\ncjB58mSMHz8egwYN6vSNoSFDhnRqW5PJhMrKSsTFxXW4T1JSktftNwdTAUBamm+dQKKiolzPKysr\nO9xWkiRs2LABy5cvR15eHkpLS9HQ0ACz2dz6S9R56urq2lzfHBQFAOnp6V7X7Mt77wutVut6Lgi+\nXfC22+2u5zpd1y9It67F13pa19JRPWazGQ888IBr+ZVXXkFAQECb2xJCCCHEd87qOlT9+d8wr9jg\ncVs2KADhrz2OgBsmU8clQgghYFgWAddNgmHGBDQu+RG1/1wAR4XnmXidVTU4++ybqHtnIUKeuAvG\n2dPAqOkSLLn0ybIMYV8RTCs3wrxiA8TSY34/pvPUWTR+uRKNX64EeA66scOhn5wJfXYW+MRYvx+f\nEEIIuZQ5q+tgLyxpCmcqVWa8LioDxB6fAM5nqogQJYQpJgrq2GhwMVHK86ZAJjYogK79tIFPjkfY\nXx9A6LP3wrrpFzQuXAXzD5sg23y7XyfsK0L1viJUz30bhuwsGOfkQD8lCwxH50WEdDdZluGoOAnb\nrgLYdhXCtms/hMJSQOqwH2SXMHodtKMGQzsqHZrR6dCOSoMq2Nj1dlkWmrQkaNKSEHTvzZBlGeLh\nMiW8aVsebNv2wllV2w0/ASAWlUMsKkfDp98CALjEWGjHDodu3Ajoxg6Huk9EtxyHEEIuRLIsw3mm\nRgllKm4KZSqpgFhSAcexUz0+gLpNLAt1XDQcx894PP+w5x3C8WsegPHXMxD63P1QR4T0UJGEkJ4m\nmSyw7S5Uwpm274P9l0LIVrvnHTtDrYJmWGpLQFPGEAokJn7DqNUwTMmEYUomnLUNMC39CY0LV8Ge\nd8jzzq3IZisav/oejV99D3VCPwTOyUHA7GvAxUR53pkQQjqpzUkeCksh1fT8JA+q6HBo0pLApye5\nHrkBMWBUqja351P7g091n+hcdjrhqDgFoagMQlGZEuRUXA7hcBlkcw+F2DqdSpBu6THgh81uL6nj\n+oBPjgeXmgA+Ob4p1CkeqqCuX5sjhBBCLkSyLMO0bB3q/vslhMJSsEEB0E/OhGHGBOivHkOTOxJC\neoRl426P27AMA02rsegswPdWryQGgBaQJeVpM04G1Awgt14pK9sw/Dn7swALoMOUPA04t2UW4Dz9\nzGplu3OTrDRQ6nJb3Vxb6yKaauMkSfamA9LfANwCoPnm/zAAOxiGeRzAD7IsOwCAYRgOwAwArwNo\nfZJoA/AACPES9YojhPhNZmYmXnnlFTz99NOudSaTCUuWLMGSJUsAABEREZg8eTJmz56NGTNmgOO4\n9po7T2RkpNfbRkS4d6qrra31GNgUGNhhCKSL2Wx2C+iZO3cu5s6d63Vt59bVnk2bNuHBBx/EgQMH\nfG7XZms7MLL18bryfnaX1mFF7dXcHqu15UJ4d4QenduGL/W0rqWjev7yl7+grKwMAHDNNdfgpptu\nwvr1630rlPiFZLHB9M1aiEcrwQYHgk+KBZcUBy6hHxje+99ThBBCeo/5x22oevQfcFZ1nGYOALqr\nRiPyv8/QQAxCCCHnYVQqBM7JgfHGKWj4ciVqX/8MztPVHvdzVJ5G1aOvom7+/yH0qbthuH4SGJbt\ngYoJ6TmyLMO+5wBMKzbAvHIjHOWeQ838RhBh3bAL1g27UP3X+eAGxECfnQV99ljosobRuTwhhBDS\nDtnphHj0OIQC9wEVzpNVvV1a21QqqPtGtApjaglmUsdGQd03imbW7CJGpYJ+Ugb0kzLgbDDB/O3P\naFy4Grad+31rSHTA/MNmmH/YDDYsCMabpsI4JweaIcn+KZyQy4Bks0PYV+QW0ORpNs+uUif0hXZ0\nOrSj0qEdnQ5+UP8eCaZmGAb8wP7gB/ZH0O9uUAKcSiqawpvyYN2616vrM95oHgTX+MUKAIA6oR90\nY4dDN244tGNH0ABnQshFSRZEiGXHIRRXQCwuVx5LyiGWHIPUYOrt8gAAjEGnDDZOjgOfFA8uKRZc\ncjy4/v3AajUQSitw9pk3YV2/02NbjV99D/PKjQh9+m4E3vUrmkSBkEuA40wNbDv2KX+274O9oARw\nOv1yLMagU77zZg6FbsxQaEYOBqvXet6RkG6mCglE0N03IujuG2E/eASNC1fBtGSNz+G1jrLjqHn1\nI9T842PoJlwB45wcGKZPoH/XhJAucdbUK5M8FBT37iQPahX41ATwaUluAU3dEa7IqFTg+vcD178f\nDNPGudbLsgznySoIh8sgFJVDLFIehaKyHg2nclScVCaaW7fdbb0qKgx8Sjy4lATwKQlKkFNyPFQR\nITR5BSGEkIuWcOgoqp5+A7ate13rpHoTTEt/gmnpT2A0PHRXjYZhxgQYpo2DKjSoF6slhFzKrJvc\nA5t0E66AflKG2zqn04mGhkbXslGnM6lYlf9mWfJAhgyLzWYQnc7WHacZAAzLMhIDyJIss7LsFuoE\nhoFs0GhNapXa44XYOrPJ7STMoNVaOJXa4wmiJEuMyWY1SpLcelAFwzAAy7ASADglSQUAreN3WZaR\nVJvzBPuugtb5Uu2SZfkMwzC3AFgFoPmiWBKAbwHUMwxT1rSuP4BzgyScAO6TZTnfm2MRAlBgEyHE\nz5566imMHDkSzz33HHbuPL8DRVVVFRYuXIiFCxdiwIABmD9/PqZPn+5V2zqdzus6DAaD27LJ5Lnz\nidrLzht1dXVe1+GJxWJpc/3y5ctxyy23QBTF817T6/UICgqCVqsF22rwZ3l5ORwO5TuO3M4MaGaz\n2fW8K+9nd2kdkmUymeBwODr192A0dn2mAJ1OB7Va7XoPOwrT6qiW9urZsWMH5s+fD0D5O3z33Xe7\nUC3pTtbcfJz5w0vKTY1zqVTg4vooHcWS4sAnxYFLVJ6rIkPpxgYhhFwAJJMFZ59/yzW4oiOMToOw\nuQ8pHXfpdzghhJAOMDyHoN/dAOOcHNR/shR1//0/SLUNHvcTS4/h9H1zwb/5JUKfuQf6qWPpM4dc\n1GSnE7adBTCv3AjTyo1wnjjT5Tb5tEQYZl4F/VWjIRSWwrw2F9ZNuyFbfAvzbk08Uon695eg/v0l\nYAw66K8aDf3kTOizs6CODu9yzYQQQsjFSDJZlAEVhaUtM14fOtqlz9zuxui1SgBTTDS4mKiWMKaY\naHCxUVBFh7c7IzbpfqrAAATedh0Cb7sOQukxmBavQeOiVXAc9+07oFRdj/oPlqD+gyXg0xJhnJOD\ngBuzoY4M9VPlhFwaHKfONoUzFcC2uxD2/MOAcH5/ge7CaHhohqVCm5EOzah0aEelQR0V5rfj+YJh\nGPDJ8eCT4xF0x/VKgNORSiW8KTcP1q153XJ+CiiDmxvLjqPxq+8BAOq4PtCNHQ7t2OHQjR0OdVwf\nurZDCLlgOGvqIRSXQyyugFha4QpoEstP+i3YxFfqmKiW/jXNAU3J8VBFhXX4+5RPjEOfRf+CZfUW\nnH1uftt9eFqRGkw4++ybaPhyBcJf+RN0Y4d3949CCPET13e7pnAm2459EI9U+u14qohQaDOHQjtm\nKHSZQ8GnJVLQG7ngaAYNgObFhxD23P2wrN+Bxq9WwfzjVt+CUWQZ1o27Yd24G6zRAMOvrkbgnBxo\nRqfTOQ0hpF1ukzwUljTdSyjplUke2JDApmCmRPDpyUpAU0o8GI1X43O7DcMwUPeNhLpv5PkDs8/W\nKkFOxeUQmx6Fw2VwnjrbY/U5T1fDeroa1s173NazIYFKSG5qAviUePApCeBSEqDuF0mfA4QQQi5Y\nksmCmn8uQP0HSwBH+9c3ZbsAy5qtsKzZiiqVCrqxw2CYPgGG6eOh7hvZgxUTQi5lzpp62PcVua0L\n/M210I0b4bZOFEVYqlrOmQIiIuwcx/Vwuq27QFm21tbWBttstnNDA1jAPQwJABiGkUJCQmq1Wq3g\nTfumEyfcA5tCQ+3e7hvgcNhrampCHQ5H64uyTHNZ516pVavVjtDQ0Or6M/V6bwObAECW5Q0Mw0wD\nsARAOTqSvQAAIABJREFU6w+HIADD2tmtAcBvZFle6e1xCAEosIkQ0gOys7ORnZ2NwsJCrF69Gps2\nbcK2bdtw9qz7hcgjR47g2muvxUcffYTf/e53Htu1Wq1e19A6mAgAAgICvN7XE71e77YcHh6OoKDO\nJfPGxMSct66qqgp33XWXK6xJrVbjnnvuwc0334yRI0ciJCSkzbbi4+NRUVHR4fEMBgMaGpQBpl15\nP7tL//79Xc+dTieOHz+O+Ph4j/s5HA6cOHHCtTxgwIBuq6e4uBgAPL6XrZWXl7stt1XPgw8+CElS\nglJfeOEFJCQkuP4uSO+QBRE1//gYdfO/AtoJOYPTCfFoJcSjlcDaXLeXWKMBXFIcuKRY8Ilxrufc\ngFia0ZsQQnqINTcfZ/74EhzlHXfYBQDNqDREvvUX8ImxPVAZIYSQSwWr1yLkD79G0B3Xo+7dRah7\ndxFkU9vhy60JhSU49dunoRmVhtBn74V+/BU9UC0h3UN2OGDNzYd5xQaYv98E55maLrepGT4QhplX\nIeDaieAGtFwP016RhsDbr4Nks8O2LQ+Wn7bDvDYXjrLjna/fbIX5+00wf78JAMAPSYYheyz02VnQ\njBhIoQ+EEEIuObIsw1F5uiWUqaAU9sKSLn2edhc2NEgZsB0b7Qpmar3MhgbRQIELFJ8Yi9Bn7kHI\nU7+DdcseNC5aDfPKjT4HfgmFpaj+61uonvsu9FMyYZx9DQxTx/b4IBtCLjSywwGhsNQtoMlTMEVX\nqaLDoR2dDm1GOrSj0qEZknzR/F9kGAZ8Yiz4xFgE3jZT+ewrPwnrtr2wbs2DLTcPjmOnuuVYjoqT\naKw4icaFqwAowSPascOhy2oKcOrfjz67CCF+JTsccFScglCiBDM1BzQJpRWQqut7uzwAAKPlwSXG\ngU9uCmVqNQEaa/B+AsHz2mUYGHLGQ3dVBure+gp1//0Ssq3j/v7CgSM4cf0fEXBzNsJe+D2FtxNy\nAWr+7mvNzVdCmnbsh7Oq6/cd2sMlxkI7Zii0Y4ZAlzmMvr+RiwrDqWGYOg6GqePgrK5D4zc/oXHh\nDxD2F/vUjtRoRuMXK9D4xQpwibEwzsmB8ZZpNJCZkMucZLJAOKDcP3AFNB080vOTPDAMuP79lHCm\n9GTw6YnQpCVB1ffCDxZShYdAFx5y3oBtZ4MJYlF5U5hTmSvMyVFxqv0xCt1Mqm2Abed+2Hbud1vP\nGHRKkFNKU5BTaoJyHpfQl/pOEEII6TWyLMO0bB2qn38LztPVvu3sdMK6eQ+sm/fg7DP/gWbkICW8\n6doJ4BPj/FMwIeSyYN2yx+37O6PTQDsqrRcr8h7DMAgNDa2zWCw2k8lkPCccqfV2sk6nsxqNxkaV\nSiX1RG1qtdoZERFRZTKZDGazOUCSJLat7ViWlQwGgykgIMDc2XNDWZY3MQwzCMAzAO4BENzOpjUA\nPgfwsizLPZ9YTC56FNhECOkxaWlpSEtLw+OPPw5ZlrF//358++23+OSTT1BWVgZAOcF6+OGHce21\n1yIysuMbQWfOeD9DYlWV+2dkeyFHnREcHAyVSgVn08xkTzzxBJ566qlua/+TTz5BXV0dAIBlWaxc\nuRLTpk3zuF/zPh0JCQlxhQR15f3sLoMHD3ZbLikp8SqwqayszPX+t9VOV+ppDmyqrKyEzWaDVqv1\nuF9pael57ZzryJEjrufvvvsuPvjgA0iS5BacpdPpwLLK981z/36SkpJczwMDA7Fnj/usCMQ3wqGj\nOP3gPAgFvt3Ibk1qNMO+9yDsew+6v8AwyoCTxFilQ1rTHz4p9qK4mUQIIRcD2S6g5tWPUPf2Qs83\ntNUqhD75OwT/8dc0SyIhhJBOY40GhD75OwTdfSPq3voK9R9943GgCADYdxfi5I2PQjd+JIy/uRa6\nrGHUEZZckGRBhHXzHphWboB51eZuGfylGZ2OgJkTYZgxEVxcnw63ZbUa6K8eA/3VYxD20sMQS4/B\nsnYbLGtzYc3N73AGLU+E/cUQ9hej9vXPwIYFQT85E4YpWdBdnQFVkLHT7RLiD7JdgGS1gw0KoGtI\nhJA2STY7xMNlsBc0zXTdNOO1VG/q+WJYFuo+4VD3i4K6OZApNhpcTDTUsVFQ94vq0mBtcmFgWBb6\nCaOgnzAK0j8eg+m79WhcuAq23HzfGnI6XbOesiGBCLhhCoy35kAzLJU+88hlwVlTD9vuQldAk33v\nQf8OhlOpoElPgnZ0OjRNAU3qmKhL5v8bwzDgEvqCS+iLwF/PAACIFSdh3ZYH27Y8WHPz4Cg74aEV\n7zgqT8O0eA1Mi9cAAFR9IqAbq4Q3accOB5cYe8m8r4SQnuVsMEEsqVDCmFyP5RCPVAJir07E7KKK\nClP6uyTHgUuKdwU0qftFgmHb7E/fLVidBqF/vgvGW6ah+vm3YP5hs8d9TP9bC/OqLQj9810Iuvdm\nMDznt/oIIR2TLDbY9xyAdXs+bDv2w7arALLZ+8lFfaJSQTMkGdoxQ6DNHAZtxhCoI0P9cyxCepgq\nLBjB992M4Ptuhr2gBI0Lf0Dj/370+R6eWHoMNS99gJpXPoJu4igYb82B4ZrxNCkpIZcwWZbhOH6m\n1SQPJRAKS5XJi3sYo9eBT0uEJi2xJaBpYH+wAXrPO19EVIEBUI1KO28wt2SxQSypgFBUBqGoHGLz\n45FKwNn5PhC+kM1W2PMOwZ53yG09o+HBJcaAT0kAl5oAPjlBCXMaEEPnU4QQQvxKOHQUVU+9Dtu2\nvG5pz77nIOx7DqLm7++DS01AwIyJMEwfD35oCt2/IYT4xLrpF7dlXeawi2YCpGZ6vd6m1+ttDodD\nJQgC73Q6WVmWGZZlJbVa7dBoNEJnfjf27du3S7NPMQwDo9FoDggIMIuiyImiyDmdThYAVCqVxHGc\nyHGc2B2/t2VZrgHwZ4ZhngWQASANQDgAEUAVgEMAdsqy3COBVeTSRKNTCSG9gmEYDB06FEOHDsVT\nTz2F22+/HYsWLQIAmM1mLFu2DPfff3+Hbezfv7/D11srKChwPTcYDOjXr1/nCm8DwzBITU3FgQMH\nACjBPt1p3bp1rufZ2dlehTWdPXvWFcTUkdTUVJSXlwNwf4888WVbXwwbNsxtOTc3F5MnT/a437Zt\n29yWhwwZ0m31fPvttwAAh8OB3bt348orr+z2epoDy3zROhQqKCjI5/2JQpYk1H/4DWrmvQfZ7nlw\ndecOIsNx7BQcx07BumGX20uMXgtuQCz4pNhWQU5NswxeYjefCCHEX+z7i3Hmob9DOHjE47bcwP6I\nevs5aIam9EBlhBBCLgeqsGCEvfB7BN1/C2pf/xwNX3znVZBM84w+AKCO6wNt5lDoModBmzWMBvaR\nXiPZ7LBu3A3TdxtgWbOl60EPDANt1jAEXDsRhmsnQt0nopPNMOCbzpeDH5wDqdEMy4ZdsKzNheWn\n7V2aeVuqrm8ZaKtSQZuRDv2ULOizs8AP7E//F0mPksxW2PcXw55/GPZ9h2HPPwyxuAKQJDAaHuq+\nkVD1i4S6byS4mCio+0UqoSj9IqHuFwnWaOjtH4EQ4meOMzUtoUxNs12LxRU91onfhefApyZAk5YE\nPj0Z/OAB4OL7Qt0nAgxH3Q8uJ2yAHoG/noHAX8+AWHYCjYtXo3HxajjKfeuXJdU2oOGTpWj4ZCm4\n1AQY5+TAePNUqKPD/VQ5IT1LliSIReWucCbbrgKIJRV+PSYbEgjt6HTXH83wgZddaB4X1wdcXB8E\nzskBADiOn4Z1W54rxEk80j39Opwnq2D6Zi1M36wFAKgiQ13hTbqxw8GlJNC5JSHERZYkOI6fgVhc\nDqG4AmJJ82OF7zPH+wunBjcgBnxSPLikWPDJ8eCSlf4sqsCA3i0tvi+iP3sZlnU7cPbZ/3j8XS6b\nraie+w4a/u97hL/8CPRXje6hSgm5vDmr62DbsQ/WHfth254P+76iLk3C0BFGr4X2isHQjhmqBDRd\nMZj63JHLgiY9CZq/P4yw5x+E5adcNCxcBcvaXN/+r0kSrOt3wrp+J9jAAATcOBnGOTnQjBxM5zCE\nXMRkuwDh0NGmyR1KWyZ5qGvs8VrU/SLBpyU1BTMpj1z/fn4Ne73QsXotNENTzuu/KgsixKOVEA6X\nQSguh3i4KcippMJ/4xvOIdsFCAeOQDhwTj9clQpc/37gU+LBpSSAT4lXQp2S4i67642EEEK6l9Ro\nRs0/F6D+g//5rc+DeLgMtYfLUPv6Z1DHRsMwfTwM0ydAO2YIGJXKL8ckhFwaZNEB69a9but0E0f1\nUjVdp1arnWq12k8p+p3HMAx4nhd5nhf9fSxZlkUAW5v+ENKtqMckIaTX8TyPd999F4sXL4YsywDg\nCj/qyI8//uhV+7Isu207cuRIqLr5pGrSpEmumtevX9+tbR8/ftz1/NxAo/b8/PPPXm03ZswY13tT\nXFyMo0ePon///h73W716tVft+2rcuHEIDAx0hU39+OOPeO655zzut3btWtdzlmUxffr0bqln+vTp\n+Nvf/uZa/vHHHz0GNkmS5BayNXjwYK/eU9LzHCercOaPL8O6cXev1SBbbBAKiiEUFJ/3mio6vCnA\nKRZcYkuYkzo2ii4MEUIIANnhQN1bX6PmtU88zyrLMAj6/WyEPn0PWC3NCEcIIaT7qaPDEfHaYwh+\naA5q/7kAjUt+BCTvJlpwVJyEqeKkEhgDQBURAm3GUGizhkGXORR8ehKdAxC/kSw2WH7eAfOKDTD/\nuA2yydK1BlUq6K4cAcPMq2DIGe+XmatZowEBM69CwMyrIEsShP3FMK/dBsvaXNj3HgKari/6zOmE\nLTcfttx81Mx7D+qYKOizs6CfkgXdlSPB6rXd+4OQy5pktsJeUAx7fhHs+YfcwpnaItsFiEcrO5zp\nlg0McIU3tQ5yUp5HQd03gmY/JeQiITscEEuPwV5Q0jTjtRLQ1JWQws5iw4OVGa7TElsCmpLiKJiJ\nnIdL6IvQJ3+HkCfuhC03H42LVsP07XrIFt/6e4mHy1Dz4ruomfc+9JMyYJx9DfQ5V9I1PXJRkUwW\n2H45ANvuAth2FsD+S2HXA3E7wjDgUhNaApoy0sENoDDoc6n7RcE4axqMs5QJshynzrrCm6zb8iAW\nl3fLcZxnamBa/jNMy5U+G6qIEGgzh7lCnPiB/S/rgYmEXC4ksxVi6TEIJUoYkyug6cgxyFZ7b5cH\nAGBDg5QJxZLjWkKZEuPAxfcBo76wv+/rJ49B7KbPUPfeYtS+/hlki63D7cXicpyc9RgM105E2N/+\nAC42uocqJeTSJ8syHBUnYdu+D9Yd+2Dbvq/bvle1hQ0Lgm7MUGgzh0I7Zig0Q1LoGgW5rDE8B8P0\nCTBMnwBHVS1M3/yIxq9/OD9swwOpwYSGT79Fw6ffgkuJV8K0Z02jMG1CLnCOqloIhc33EYohFJZC\nKC73W1Biuzg1+NT+0KQlgk9PdoUzqUICe7aOixjDc+BT+4NPdR9zIjudcFScglBUBqGoTAlyKi6H\ncLgMsrmHxlo7ncp5bUkF8MNmt5fUcX2U88nUBPDJ8eBTE8ClxEMVZOyZ2gghhFyUZFmGaelPqH7h\nba9D7LXjRoBPjIV51WY4q2o7dVzHsVOof38J6t9fAjY8GIZrroRhxkTox48Eo+E71SYh5NJlzzsE\nqdHstk43/oout5ufn6/Oy8vjjh8/zqpUKsTExDgzMjLE5OTkHj2Rczqd2LRpE19cXKw6efKkKigo\nSIqJiXFOmjRJCAsL62QnbEIuX3SXghByQQgJCUFERATOnDkDABBFz4GIBw4cwNatWzFu3LgOt1u9\nejUqKlpmqLz++uu7Vmwb5syZg7fffhsAUFhYiJ9++glTpkzplrblVoPMbLaOO5g0e/PNN73abubM\nmZg3b55r+aOPPsJLL73U4T719fVYvHixV+37iud5zJgxA19//TUAYPPmzTh06BAGDhzY7j61tbX4\n5ptvXMtZWVmIiorqlnoyMjLQt29fnDhxAgCwYMECPP/881B30DHpxx9/dPv3dsMNN7S5XV1d3Xnr\nGhoa3AK/Jk2ahMBA5WbFnXfeic8++8z1mtzZwYcEAGBatg5VT/7bqxlD1DFRcJyo8nqwdXdxnjoL\n56mzsG3Z47ae0fBQ9+8HPjEOXFKsK8iJS4qDKphucBBCLg/ikUqc/sNLsO8q8LitOq4PIuc/C93Y\n4T1QGSGEkMsdF98XkW/9BcEP/wY1r34M84oNPrfhrKqF+fuNMH+/EQDABOihzRgCXaYyO7BmxEAa\nrEy6RDJZYF67DeYVG2FZt93jgCaPODX0E0fBcO1VMORcCVVoUPcU6gWGZaEZlgrNsFSEPnEXHFW1\nsKzbDsvaXFjX7zzvhqkvHJWn0bBgORoWLAej5aG7ciT0U7Kgz84CF9enG38KcqlzD2c6DHv+oQ7D\nmTp9nAYThAYThIPtD8RQRYa6hznFREHdtyXYSRUZSoPHCelhzvpGZRBFczBTYQmEw0ch23pmxmQX\nlgWXFOsKZdKkJYFPS4QqKowCP4hPGJaFbtwI6MaNQPgrj8L8/UY0LlwF6+Y9nnduTZKU73XrtoMN\nCkDADZNhnJ0DzRWD6d8kuaDIsgxH2QklnGmXEtAkHDzi1/uKjEEH7ag0V0CT5orBNAiqE9TR4TDe\nOAXGG5V+HY7T1bDl5sO6LQ/W3DyIh452y3GcVbVKSHLTNSI2NAi6rGHQZg2HbtwI8IMH0HdwQi5S\nsizDeboaQnE5xOKmUKamQayOytO9XZ6CZcEl9AWXHA8uKRZ8khLMxCfFQRUW3NvVdQmj4RHyyG9h\nnDUV1S+87QrK64h5pXI9NOSR2xD00By6zk5IJ8hOJ4QDR2DbsQ/W7ftg27EPzlNn/XY8dUJfJaCp\nKaSJS4qjc0JC2qGOCEHwA7MRdP8tEPYVoXHhKjR+sxZSbYNP7YhF5aj523uo+fsH0F+dAeOc6TBc\nM44GMF8AZKcTktkK2WSBZLZCMlkgNz22XrZW1yL6UBEY0QFZrYL5lwo4g4PA6HgwWg0YrQasVgNG\nr21a5s9Z1oDVKesv9CDPy4XsdCqTPBSWQNhfojwWlngdcNCd2LCgpkkeklwBTXxyPAUo+gmjUoHr\n3w9c/34wTGsZMyXLMpwnqyAcLoNQVA6xSHkUisog1dT3WH2OipNwVJwE1m13W6+KCgOfEg8uJQF8\nSoIS5JQcD1VECH2XI4SQy5z94BGcffoN2LblebW9KjocYX97CAG/mgyGYRD+2mOw7SqE+YdNMH+/\nSfkc6gTpbB0av1yJxi9XggnQwzB1LAzTJ0A/eQzYAH2n2iSEXFqsm35xW+YHDYA6KqzT7X311Vfa\nl156yXjgwIE2T54yMjLEefPmNUydOtWvHcZEUcS8efMCPvzwQ8OpU6fOu0nN8zymTZtme+ONNxoS\nExO7LUTqkUceCfzvf/9raL3uvffeq7v//vt7KImWEP+iqyKEEL8pKytDQkKCV9seP34cZ8+23Lj1\ndr9HHnkEW7duhUbTdgcKs9mMJ554wrXM8zxuv/12r9r2xZVXXonx48dj82YlNf6ee+5Bbm4u+vTx\nfvCWKIpgWRYqlcptfXx8PA4ePAgAWLVqFV5//fXztmntP//5D7Zt2+bVMUePHo3hw4cjLy/Pte/t\nt9+O1NTUdvd59tlnUVPjv1mcH330UVdgEwA89thj+OGHH9rd/plnnoHV2vK97NFHH+2w/blz5+LF\nF190LS9YsAB33nlnm9syDINHHnkETz31FACgsrISr7/+Op588sk2txdF0e01rVaLBx54oMN6SM9y\n1jfi7NNvwPS/tR63ZcOCEPnGUzDkjIdsFyAePd4y+2FJBYTSYxBLKrwKfepOsl2AeOhom52E2fBg\nV5ATnxwPLqkp1CmuL90MI4RcEmRZRsNn36L6hbe9ChYw/mYGwuf9EazR4HFbQgghpDvxKQmI/mQe\n7PmHUfPKR7Cc0znJF7LJAuvPO2D9eQcAZSCKZsQgaDOHQpc5DNqMdPqsIx456xthWbMVphUbYV2/\nE7K9a/f0GA0P3dUZCJh5FfRTx14wg4PVESEInJODwDk5kEUHbDv3w/JTLsxrcyEeLut0u7JNgOWn\n7bD8tB14+g1wqQkwZGdBPyUL2owhdM5NXM4LZ9p3GGJReY8HgbfHeaYGzjM1sO892PYGnBrqvhFK\niNM5YU7NAU9sYAB1pCWkE2RJgqPiVNMs180DKko73YGwK1ijAXxTIJMS0JQEfuAAsDoarEy6F2vQ\nwXjLNTDecg3EY6dgWrwGDQtXwVF23Kd2pHoTGj79Fg2ffgsuKQ7G2dfAeMs0qPtG+qlyQtonWe2w\n5x+GbXcB7LuUkKbOzuTrLXVCP2gz0l0BTfzA/mA66C9AOkcdFYaAX12NgF9dDQBwnq2FNTcftqYA\nJ6GwtFuOI9XUw/y9MpAAANhgI7SZw6AbOwy6sSPApyfR3y8hFxjZLkA4Uqn0FSmugFBS3vRYAdlk\n6e3yACjf8bnkOHBJ8eCT48Alx4NPigWX0O+SD1dQ941E1IcvIvCO61H19BserwHKVjtqXv0IDQt/\nQPhLD8MwteOJIgm53ElWO+x7D7oCmuy7Cro0UUKHGAZ8WpIygUlTQJM6Otw/xyLkEsYwjGuyk7C5\nv4f5x21oXLgKlnU7AKcP4+wkyXVvjA02IuDGbBhvzYFmWCrdI/CCLMuQbQJkswWSyQrJbDkvYMlT\n8JJkdl+WrXavj9/6t6dl7S/o9LdWTq2EOWk1YHTKH7dlV7hTy7rzlltt27KsBaPjW9pq3oYCjeFs\nMLVM8lBYAqGgBMKhI70zyUNirBLK1DzRQ3oSTfJwgWAYRrmP2zcS+kkZbq85z9Y2BTmVQWwKcRKK\nyv0asnku5+lqWE9XnzeRAxsSqIxvSE0AnxIPPiUBmpGDacJqQgi5DEiNZtS89gnqP/zGu/MStQpB\n989C6BN3uQUoMSoVdJlDocscirAXH4JQUKJMjvrD5g4nuOuIbLLAtPQnmJb+pPSJvGo0DNPHwzBt\n3EUfek8I6TzLpt1uy7oJV3SqHYfDgTvuuCP4q6++0nW03c6dO7mcnJywJ554wvSPf/zDL4OVT5w4\nwc6YMSM0Ly+Pa28bQRCwYsUK7YYNGzQff/xx3axZs7o4IzCwfft27u2336aBDuSSRqMICCF+k5yc\njNmzZ+Puu+/GxIkTwbZzEb2mpga//e1vITUNWmEYBtdff73H9lmWxS+//IKbb74Zn3/+OUJCQtxe\nr6qqwq233ooDBw641j355JOIiIjowk/VvnfffReZmZkwmUwoLy/H6NGj8f7772PGjBkd7ldSUoJF\nixbh3Xffxe7duxEdHe32+rRp07B69WoAQHFxMf74xz/iv//9L9TnzFohiiJee+01/PWvfwWgvD+S\nFwOB/vnPfyI7OxsAYLFYkJOTg+XLl2Po0KFu2zmdTrz44ot45513vG67MzIyMnDjjTdi6dKlAJSQ\nqj/96U/497//fd6/oX/961/44IMPXMtXXHEFbrrppm6tp/n9Pn5c6Tz+17/+FXFxcZgzZ47bdjab\nDbfddhv279/vWvfQQw8hJiamW+shnWfdsgdn/vASHMfPeNxWn52FiP88DXVkKABlICo/sD/4gf3d\ntpNlGVJ1HYQSJbxJLK1oeV52HHB0W5CsV6SzdbCdrYNtxz73F9QqcAn9wCXFKZ3yEuNcz9mwYLp5\nRgi5KDhOncWZR151hVV0RBURgog3nnKbVYgQQgjpDZphqeiz8J+wbt+Hmpc/gC03v8ttynYBtu35\nsG3PRx2+AFgWfHqSEt6UORTazGFQR4R4bohc8pzVdTCv2qLMHL9pNyA6utQeo9dCPyULAddOhD47\n64KfTYrh1NCNGwHduBEIe+H3EMtPKB3L1+bCunVPlzq1iofLUHe4DHVvfQ02MAC6SRkwZGdBd/UY\n+v93GZEsNggFxbDlHb4gw5k6RXTAUX4SjvL2A2QYg64lzCmmKcjpnIAnVkuhL+TyJllsEA4dUQZU\nFJRCKCiG/UBprwzmVsf3UUKZ0pKgSVce1XF96Jow6XFcbDRCHr8DwY/dDtvO/WhcuArmb9f7PNBX\nLKlAzUsfoOblD6GbOArGOTkw5IwHq9f6qXJyuXOcrIJtZwFsu/bDtrsQ9n1FXT636gij5aEZNtAV\n0KQZlU7nGL1EFR6CgJlXIWDmVQAAZ009bNvzYd2WB+vWPAiFJYAsd/k4Ul0jLKu3wLJ6CwCADQyA\ndswQaMcOh27cCGiGJINRU/c+QvxNFkQ4z9ZCLD8JsaQcQnHTRF7FFUrI6oVwrs8wUMdGN/X1iAOX\nHOeayEsVGXrZf8fXXTkSsesXoP7jpah97ROP3zMdZSdw6jdPQ5+dhfC/PwxuAPXvIgQAnLUNynff\n7fuUP/mHAUH0y7EYLQ/NyMHQjlEGWmpGpUEVGOCXYxFyuWI0vOu8xnHqLEzfrEXD1z/4PMmJVNeI\nhk+WouGTpeAHDYBxTg4Cbp7q6l97KZCdTiVEyZdApXaWm/fzKSDrQiU6IIkOwF9hfedgNDwYLd8U\n4KRtFf6krGP12naWm8OjeCUMStsqTKo5WMoVOqVV9tfwvfodWpZlOCpONgUzNd1HKCzp8B6dvzAB\nemgGJzaFMjUFNA0cQNdcL1Kq8BDowkOgGzfCbb2zvlEJHz5cBqG4DOLhMgjF5XBUnOqWa1zekGob\nYNu5H7adLeNtoFJBd+UIGK6dCEPOeKijwnqkFkIIIT1DlmWYvlmL6hfehvNMjVf7aK8ciYhXHwWf\n2r/D7RiGgWZIMjRDkhH69D0QSo/B/MMmmH/YDPvuws7VaxdgWbMVljVbUaVSQZs1DAEzJsAwfTxN\nJkTIZUSsPA2x9JjbOv2EUZ1q66GHHgpsHdak0+nkWbNmWYcPHy4KgsDs3LmTW7FihU4URUiShNde\ney0gJCREevrpp7v1RNxiseC6665zC2uKjo6W5syZY0lMTHRWV1eza9as0eTm5vIA0NjYyNx+++1c\nDt1eAAAgAElEQVQhUVFRZydMmNDpC8SiKOLee+8Ndl4K10gI6QAj99CJNbm4MQyTBqCgebmgoABp\naWm9WBG5GLS+iB0VFYWxY8di+PDhiIyMhE6nQ01NDfLy8rB8+XI0NDS4tn3wwQfxzjvvnNdeWVkZ\n+vdvOdl67rnn8PLLL0OSJISHh2P27NlIT0+HLMvIz8/HokWLUFdX59p+xIgR2LZtG7Tati8ef/rp\np7jrrrtcy535/bh8+XLMnj0bgtAy4CslJQVTpkxBamoqAgMDYbPZUF1djYMHD2L37t04fPiwa9uT\nJ0+eF9jU2NiIpKQknDnTEjKTnJyMWbNmITExEXa7HUVFRVi2bBnKy8sBAPfddx/WrFnjWn7hhRcw\nd+7cdut+8MEH8d5777mWOY7DddddhyuvvBJGoxFHjx7FkiVLUFRU5GrvxRdfdG2/YMEC3HnnnT6/\nX+05c+YMxowZg7KyMte6lJQU3HrrrYiJicHp06fxzTffYO/eva7XQ0NDkZubi5SUlA7bnjt3rs+1\nb9myBVOmTIHd3jI7yaRJk5CTk4Pg4GCUlpbiiy++wIkTJ1yvjx49Ghs3boRO12H4qZuGhgasX7/e\n7RiBgYEAgDvvvBOfffaZ6zX6/PaebBdQ/fKHqH93kccbCoxei/B5f4TxtpldvhEniw6IFScgNgU4\nCSUVyvPSCr/PtOsLNtiodOhLjAWXFNfSua//pT/TIiHk4mFatg5VT/4bUp3noHDDjImI+NfjUIX3\n3CCWjj7DCSGEkGayLMO2dS9My9bBmpsPsbjcb8fikuKgzRwKXdYwJcApNvqyH7Bzrkv189txpkbp\neLBiA6xb87rcEZgJ0MMwbRwMM6+CflLGJdMpU7LYYN3yCyxrc2FZm+tVuLNXGAaaEQOhz86CIXss\n+CHJNBPsJaI5nMmef1gJaLoUwpn8iA0PBtevjTCnpoAnVVQYGJWqt8skF6mTJ09i586druWMjAz0\n6dOnV2qRZRnO09WwF5RAKCh2DawQS4/1+O8HRsuDHzgAfHqSK6CJT0ukgY7kgiZZbDCv2ozGhatg\n3bi704NCmAA9An51NYyzc6AdM4TOfUinyaID9sIS2HYWwN4U0OSoPO3XY6r6RECbMQTaUWnQZqRD\nk54Mhm93QsuL1qV4Du6sa4Rtxz5Yt+XBtnUv7PuL/fL5zwTooc0YogQSjx0OzbBUMBwFOBHiDcls\nhbOqFs6ztXBW1cBZVQtH06Pyp8b1KNWbertcF0avBZcYq4QxJceBT4wDlxwPbkDMJXNtzt8cp6tR\nM+89NC5a7d0OPIfgh25FyCO/BWvwvp/X5eBS/Awn7sTK08okITv2wbZjP4SDR/x2LDbYCO2YodCO\nGQJd5jBohqZQ3zRCeoEsy7DnHULj16tgWrq289+DVCrop2QqYdpTx/bouawsy5DtgteBSq23c1s2\nt2wnW+2eD0wuLQzjHg6l5V3hTq6wJ22rwKfmoCe3ACgtGJ1G2ddtuVXQlF4LhmUhlFRA2K+EMgmF\npRAKS3wOs+8O6thot/sImvRkqOOi6Z72ZUyy2JRxDkVlEIrKITY/Hqns+eA5hoF2dDoMMyfCMGMi\nuNhoz/sQcgmhc3ByqbEfPIKzT73u9SSnquhwhP/tDzD86uou3+91nKxSJrr8fmO39KEEAM3IQTBM\nnwDDjAngk+K63B4h5MLV8NX3qHn5Q9cyGxKI2A0L2u3vKIoiqqqqXMsRERFVHMc5li1bprnxxhtd\nadcpKSmO1atX1/Tv39/tl9Lu3bvVM2fODDt16hQLACzLYvfu3VUjRozotpmkHn744cD58+cbmpdn\nzpxpW7RoUe25Y98//fRT3X333RcsikpGU79+/ZzFxcVnfBkj39qLL74YMHfuXCOg/PxFRUWuG93v\nvfde3f3332/1tq3qlz8MaPxyhUGy2s2yyWICsDixavOjnSqMkG5GgU3EKxTYRDqjMydHv/nNb7Bg\nwQJw3Pk3bs4NbFq/fj3y8vLw+OOPQ/LQ8S0tLQ3/z96dx0dR3/8Df83M3rM5NifhhlxAQsJNuJKo\nIEeCVqui9fq2VStqFeu31lr121qv1lZtrdpLe2gLHtWfBYIcCuEMh0Ag3EQCBHJs7r1mj5n5/TGb\nTRYC2Ww2m+v9fDx47M7uZz7zWZLs7szn83l9Nm/ejPj4+CuWCUVgEwDs2LEDt9xyC6qrq7u8b01N\nDRISLk/c3bZtGxYtWgS7vfPVl2+44QZ8/PHHSEtLCziwSRRF3Hnnnfjwww87rf+2227DypUrwbX7\nghnqwCYAOHbsGJYuXYry8vJOyyYmJuI///kP5syZ02nZYAKbAODTTz/FvffeC6u1887JqVOnYu3a\ntUhMTOy0bHsU2BR6ziOnUfvQL+E62vlgEu3UCUh46xlokkf0eLvEZgvc3gAnJcjpHNzl5+H+phKy\n09V5BeHAslCNHKIM/ksZ0RbklDJSmVRHEx4IIWEgNrag7ievwfrZl52WZSONiHtlBYy3XB/29yjq\nJCOEEBIMj7lRGQBfUgqh5FCPTewDAG5ogje8KQv6nGyo00YN+gF3A+nz21Nlhm1NMayrt0AoOdTt\n1Q/ZKCP4RXPB35APfe40sDptiFraN8myDNfxM77wJmFvWcgGHnIJMTDMnwXDglkw5E8HazSEpF7S\ns9qHMzlLT8B56CRcJyrCFr7CRhqhyUqDNjsN2ux0qIcPgaemHp7KGngu1vrdirUNYVvxNKQ4Dqqk\nOL8QJ9Uw/1vWFEnXn0iHeiuwSXZ7lMHql6x2LdU39/ixL8UlxioTKTJSlIkVmSlQjx0ORkXhDaT/\n8lysheXjDbCsWgf36XNB16MeMxzGZQsRcdsimsxBOiXWN0HYd0RZ1X1vGZwHj/fsBE0VB+3ENCWc\naXomdDMyoRrWtf7k/mognYNfidhihbD7MISdB+DYeRDO0pM9MqmNMeihm5EJ/exJ0M2eBN3k8QMy\n5IuQjsiyDKnFqoQs1TZ4g5guCWOqa1K2axsh2wMe490ruKR4aFJGQJ0yCppUJZRJkzoSXFL8oL92\nGyqO3YdQ99QbcJWdCqi8algCYp9/BPzSfLom4TUYPsMHE1mS4DpR4Q1oOgyhpDR0ixl0QDViCHQz\nJ0KXkw39zCzqmyKkD5IEJ+xf7IBl1TrYN+8Juh+EjYlCxLcXIOKOJdBOTL3seVkUIduFTgKV7JCs\n3hAl761kdUBu93j77bCHiBDSzzBaDTTjxnhDmdot8hAV0dtNI/2E7HLDfaYSrhMVcJ06C/cJb5DT\n6XNhm+ugzU4HX5gHvjCPgjHIoEDn4GSgkCw2NPz6PTT/5T+BfW9XcYh+8DaYnvifHhlbJza2wLZ+\nB2xFW+HYvAey0P3PMXX6aPBLcmEsyIUmK42uJRIywNQ8+Dwc2/f7to03XIO4lx67YvmOAptYlvVM\nnDgx/tixYyoA0Ov18oEDB8zp6ekdvjEWFxerr7322rjWnISFCxc6v/jii4ZQvJ6zZ8+y48aNSxQE\nAQAwfvx4z8GDB80aTcdh+u1DlgDgxRdfbHn66ae7nDh87NgxbsqUKQmCICA2Nlb6wx/+0HzHHXeY\nWp+nwCYykNCoTUJIj/n3v/+NtWvXYvPmzbh48eJVy+bk5ODJJ5/ETTfd1KVjrFixApmZmfjxj3+M\ngwcPXvY8z/NYvnw5nn/+eQSb4thVc+bMwenTp/HWW2/hj3/8I86cOXPFsizLYvLkySgoKMDdd9/d\nYVgTAMybNw979uzBD3/4Q78LMO0lJyfjf//3f/Hggw92uc0cx2HVqlWYP38+nnvuOVRVVV1WZtiw\nYXjyySfx6KOPdrn+YIwfPx6lpaV49tln8fe//x2NjY2XleF5Hrfeeit+/etfXzWMKxRuvvlmTJ48\nGU888QTWrl0Ll+vyE/SkpCQsX74cTz31VIehYyR8ZElC8zsfov6lvwAu99ULcxxMT9wL0+N3h21C\nCxcVAW5qBnRT/cMPZVGEp7KmLcipXAlzcp0+D7HKfIXaeogkwVNxEZ6Ki8CXJX5PMUYDNMlKiJM6\nZYQ31Gkk1MkjaEVHQkjI2L/cjdrHXoZYU99pWf28KUh48+lBM7mFEELIwKCKN8FYmAdjYR4ApaNa\n2FsGR4kS4uTcfyxkg5zEi7Ww/mcjrP/ZCEBZ7aM1vEmXkwXtxDQwarpU3J+4z1UpIU1riuHcW9b5\nDp1gY6OUQQSFedDPnTKoJnsyDAPt+LHQjh8L06N3QmyywL55txLg9OVuSA3BB3GItQ2w/HstLP9e\nC6hV0M/KhmF+DgwLZkOdPIIGa/QBkl1QwlcOHu8T4UzarHSoxwwLeOKS7HLDU13XYZiT52ItPBdq\nITVZevhVBMF7DcxTWQPsOdxhEUavvSzEqe02AaqhCWD58FzzJ4OP2NiivDeUnYKrzBvQdLKi82vN\nocZx0KSNgiYjGdrMVO+EihSo4k2d70tIP6MamgDTY3ch+tE74dx/FJZV62D97EtIzZ0vpNKe+0wl\nGl95F42vvAvd3CmIvH0x+MI8+swgvsnpzr1lvoAm9zeVPXpMNjYKuukTfQFN2knjqB9tAOMijeAX\nzAK/YBYAQLLaIew5DMeOA3DsKoXzwDHA0/0JxbLdAceWvXBs2QtA+d6sm5YB3ZzJ0M+aBO2U8QM+\neJkMLLIoQmxo8YYvNfgFMPmHMTVCrGsM/3fy7tKofWMrNKmjlMWyUkdBkzKSgr3DQD8zC8M3/QUt\n//wvGl76S6fXSDwXalHz/eegz52KuJdXQJM2OjwNJaSHyE4XhIPHfeFMwp7DXT7HChjDQDN+DHQz\nvYuHzJxI4zcI6QdYnRbGb10L47euhafKrIRpryzqcpi21NCM5r98gua/fAJ1ykgwWo0SxGTzBjLZ\nhR56BYQQAODiY5R+hImpvsUe1CkjaJEH0i2MRg1N+hho0sf4PS6LIjznqpVFTk5WKEFOp87CdaIC\nsi20wcmtCyw1vPhnqMeNgbEgF3xhPjQZyTTWghBC+iBZlmH9z0bU/99bygJ0AdDPm6Jch7vk8yaU\nOFMkIm9fjMjbF0OyOWD/ajdsRVthX78TkqXL+SMAAPeJCjSdqEDT6/+EasQQ8IvngS/IhW7mRDAc\nF+JXQAgJJ8kuQLhkPKM+d2qX6/niiy+0rWFNAPDAAw/YrhTWBAB5eXnuG2+8Ufjss890ALB+/Xrt\n8ePHuXHjxnW7g/nNN9/kW8OaAODll19uuVJYEwA8/fTT1j/96U98VVUVCwBvv/0239XAJkmScN99\n90W3HvfVV19tiYmJCc+gXEJ6ASP3x5V3SdgxDJMBwDfzp6ysDBkZGVfZgxB/58+fx5EjR1BRUYGm\npiZIkoSIiAiMGjUK06ZNw9ChQzuto6KiAmPGtJ2Abd68Gfn5+b7tw4cPo7S0FBcvXoROp8Po0aMx\nf/58GAy9O8Dl9OnT+Prrr2E2m9Hc3AydToeYmBikpqYiMzMT0dHRXaqvvLwcO3bsQFVVFTiOQ1JS\nEsaNG4epU7v+xa8jkiRh27ZtOHbsGBobG5GYmIiUlBTMnTsXbC+tcORyubB161ZUVFTAbDbDZDJh\n5MiRyMvLA8/zYW9PQ0MDtm3bhsrKSlgsFt//0Zw5c7r1f0SJ6KHhrqxB7SMvQthxoNOy6rHDkfDO\ns9BNmRCGlnWPZLXDXX4ervLzcJ9uDXI6B3d5ZZ9aGVI1LMEb3jTSuxqkEuakGpZAq6QRQgIi2Ryo\n//lbaPn7552WZXQaxDy7HFH33dyr7zH0GU4IIaQnyE4XhAPHlUH0JYeUgfRBdhB3hjHooZue4Qtx\n0k6ZMOAnkfbHz29X+XnY1hTDtnoLnKUnul0flxADviAPxhvyocvJogGbHZBFEc79x2DfVALbxp1w\nHT4VsrpVo4eBXzALhgWzoJ89CYz2yh2gJDR84UylJ5SApnCHM0XwSjjTpPSgwpmCJVntbSFOF2rh\nuXDJ7cXakKwe1xtYU2THYU6t94fEUSDhAFRVVYU9e/b4tmfMmIGkpKSg6pIlSVkduKwcziOn4So7\nBeeRcogXa0PV3ICxUUZoMlOh9a5yrc1MhSZ9NH0+kEFNEpywf7EDlg/Xwf7VnqA/sxleD+PSfETc\nvhi6WdnUVzGAybIMqckCT5UZnotmiFVmeCprIOw/CufXR3vsnBpA2wT16ROh9QY0qccOp4lDXv3x\nHDzUJJtDCereeRDCzoMQ9h8F3J6QH4fRaqCdOgH6OZOhnz0J2qkZYPUU4ETCS3Z7lACm2gaIdU3w\nmBv8w5jqmpTb2kaI9U1hOy/vSVy8CerkkVCnjoQmdSTUKUook2rkEJqg00eI9U1oeOkvaHl/NRDI\nmGkVh6gHbkXM//4P2Ijwj03rK+gzvH8RW6wQ9pRB2H0IQskhOA+EbmGQy2jU0E0aB11OFnQzs6Cb\nMRFcdETn+xFC+jxZluH8ul2YdksPBb2RkGEMerC8HqzRAIbXQ9Zr0OCwQ9KowHhExPIRYD0iZIcT\nsuCE7BAgCU7IDhdkwTkgvo8PGhwHdcoI7wIPyd7+hBSoEmN7u2WEQJZliFVmuE5UwHWiAm5viJPr\nZAWkxpaQHks1eiiMhXngC/KgnTKervmTAYPOwUl/5jxajrqnXoewqzSg8tyQOMQ9/wj4b13ba31p\nsssNx/b9sBVtg61oG0RzYCFTV8PGRYNfNBf8klwYcqfSeA9C+iH75j2o/eFLbQ9wHEZu/+dV+wnc\nbjfMZrNvOz4+3rx8+XL+3Xff9QUbHDt2rLaz8KV169ZplixZ4jvBe+GFF1p+9rOfdXuQQ3p6evzJ\nkydVADB8+HCxoqKiluuk7+rJJ5+MePXVV42t2zt37qybNWtWwKuqvPnmm4ZHH300CgDy8/Odmzdv\nbtiwYYNm4cKFvtf3xz/+sekHP/hBwJOi61/6i9HywWpecjhtstVuBfBRsnnbikD3J6QnUWATCQgF\nNpG+oLPAJkL6O7rA1j2tadx1P3k9oE7iyP+5EbE/f7jfr6rs6+A4fQ7u0+fbBTmdh+d8dWADzcKA\n0WuhHjvcG+Q0Ulk5MkW5P5gHtxFC/Al7y1Dz0AvwVFzotKx20jgkvP0MNKmjwtCyq6PPcEIIIeEg\niyJcR8rhKDkEYddBCLsPQTQ39szB1CpoJ42DPidLGWw/I2vADbTvL5/frhNnYF29BbY1xXAdKe92\nfaphCeAL88AX5kM3I5MGrnWRp7oO9o27YN+0C/Yt+0IWoMwY9NDnTQU/XwlwUiXFh6TewcwvnMn7\nz3XyLCB2e8GhgPjCmbLTlYCmMIUzBUOWZUj1TX4hTu4LNRAv1Hrv10KsruufA/ZZFlxiLFTDE6Ea\n6h/mpB6eCG5oAri4aApS6GeCDWySrHa4jn0DZ9kpuI54A5qOlvfK6u7qMcOhyUiGJjPFO7EiRQm8\np99FQq7IU10HyycbYPnwC7iPnwm6HtXIJEQsW4SI2xZBPbrzBYVI3yGLIsTaBiWMqaoO4sVaeKrq\n4Kmq9W6b4ak2Q3Y4w9IeNoKHduoE6GZMhG5aBrRTJ4CLNHa+4yDVX87Bw0myCxC+PgJh50E4dh6E\n8+ujPROooFFDN2UC9LMnQTd7EnTTMvp9/zjpHZJdUEKY2gcvmZXgJY+53eN1jSGfiNlncBzUY4Yp\noUzehas0qaOgThkJzjS439P6E+HgcdQ99TqcXx8NqDyXGIvYnz8E47cXDMpzNvoM79s8VWYIJYeU\nfqPdh+A6Wt5j48TYSCN0MzKVcKacbGgnpYPVUSgkIQOd5HDCtm4bLCuL4Cje12fGovZrKg6s0QCW\n14Px3rYGLbFX2PaV4w3Kc8Z29/XaywJCu/L5Lcsy4HJ7A5yckAUlxElyCG0BT4ITksPp25a8j8n2\nTrYdAmSHq23bewwSGDbS2BbKlJkKbWYK1Omj6fOX9DuyLEOsa4L7pBLe5D55Fq6TFXAdOxOSYAwu\nKR78knkwLs2HbuZEWqiM9Gt0Dk76I7HFisZfv4fmv34a2JgsFYfoB2+D6Yn/AWs0dF4+TGRRhLDv\nCGxrt8JWtBWes1XdrpMxGsAvmAW+IA+G62b2qddLCLmy+l+8DcvHG3zbuumZGPK3F666T0eBTWPH\njo2prKzkAGDUqFFiRUVFp6sHOp1OREdHJwmCMpZt9uzZrh07dtQH90oUp06d4tLS0hJat++66y77\n+++/39zZfl9++aVm/vz5vnClp556yvryyy9bAjnm+fPn2czMzISWlhZGp9Ph4MGDtenp6SIFNpGB\njM5ECSGEENLviY0tMP/4t7B9/lWnZbn4GMS/8RPw188OQ8t6HsMwyoSzoQlA7jS/5ySHE+4zlXB7\nw5xc5ed898O98pHscMJ1pByuI+W4NNqXS4jxhTepU0b4Qp1UI4dQxwkhg4TscqPh1b+h6ff/6nwS\nMMfB9L/3wvTY3WDU9B5BCCFk8GA4DtqsNGiz0oAHboEsy3B/cx7CrkNw7CqFsLs0JB3FAAC3B869\nZXDuLQPe/DfAMNBMGAvdzGzoZ2VDl5MF1ZC40ByL+JFlGa6y07CtKYZ19Ra4T53tdp2+1QWX5kM7\nefygnFgUKqohcYi8eyki714K2emCY1epEuC0cRfcZyqDrle2O2Bftx32ddsBAJqMFBgWzAK/YBa0\nUydcNtCa+LssnOnQCbhO9FI4k/dfXw1n6gjDMODiTODiTNBmp3dYRvZ44Kmu9wU6eS7UwFNZC8/F\ntpAnqaHTfvzwkySIVWaIVWZcaQoAo9NAlZQAblgC1K2BTsMToBrqvR2WSIOm+hlZluG5UAvXkdNw\nlZ32BTS5Ky6EfUIRY9BBM36s/2rXE5Lpd4qQIKiGxMH0yHcQ/fAdcJaegGXVOlg/3dTlQAjPuSo0\nvvo3NL76N+hmZSNi2WIYb7yG/i57mSQ4IVbVKd8tqpVbZVsJYfJcNEOsbQjb97uOqMcOh256JnQz\nJkI7LQOa9NH0PZ10C2vQwTBvKgzzpgJQ/g6cXx+FY9dBCDsPQthbBlkIQYCTyw2hpBRCSSnw2j8A\nFQfd5PHQzZ4ETeooMFoNGJ1GudWovfe1bY95n2e1GkCjpmsKA4gsy5AsNiVoqbbRG8bkH7wk1raF\nMcm20IRW9wdslBHq1FHK+IXUUdCkKuFM6lFDwWjUvd080k26SeMwrOgdWFatQ/0v/wiprumq5cWa\netQu/yVa/vFfxL28AtrMlDC1lBB/sizDXX4ewq6DvoCmkPUJdYBLilcW9ZipLOyhGTeGvv8SMgix\nei0ibp6PiJvnw3OhBpaP1sOycl23+sT6G8agA8sHGKjUSfASazT0ufMqhmEArQacVgNE9fwCTrIs\n+0KhZMEJyS60hTkJLm8wlNAuKMp1yXZb8NOl21K7UKjWbbjcPf6aQkE1eqg3mClFuc1IgWrEkD71\nu0JIsBiGgSreBFW8Cfo5k32Py7IM16GTsK4phm1NMdynzwVVv1hlRsu7n6Ll3U/BxkaBXzQXfGE+\nDLlT6RyeEEJ6kCzLsH6yAfU/f1vpwwuAft4UxL3yODRpo3u2cUFgOA76mVnQz8xC7C8eVua9rS2G\nrWgrXEe/CapO2WqH9bMvYf3sSzBaDfR508AX5IJfOAdcbHSIXwEhJBRkWYa9eJ/fY/rcqV2up7Gx\nkWkNawKAGTNmBNTpq9VqkZ2d7dq9e7cGAI4ePdrtL7QHDhzwqyMnJyegE+XZs2e7VCoVPB4PAODw\n4cMBT9578MEHo1paWhgAePLJJy3p6em9N9CDkDCh2a2EEEII6dfsxftQ+8iLEKvrOi3LL5mH+N/+\nGFycKQwt632sXgvthGRoJyT7PS7LMkRzoxLeVH4OrtPnvUFO5+A+WxX2Ae9ibQPE2gYIOw/6P6FW\nQT1mmDIQMnkkNJkpMFwzg1anJGSAcR4tR+1DL8B15HSnZdWpo5Dw9jPQTRoXhpYRQgghfRvDMNAk\nj4QmeSQi7yoEAHgu1ioD9UtKIZQcgutYcJ3Fl5FlXwBry3ufAgBUo4f5wpv0OdlQjRlGAwaDJMsy\nnAePw7Z6C6yri+GpuNDtOtUpI8EvzYexMA+aian0s+kBjFYDQ/50GPKnAy8+Clf5eSW8adMuOHYe\nBNyeoOt2HTkN15HTaHrjfbAxUTBcOwOGBbPpnBhKOLUvnOng8bCHMzFGg18wkzY7Deoxw/tNOFOw\nGJUK6uGJUA9PvGIZyS54A5xq4ams8Qtzag15ku1CGFsdGFlwKYHnZypxpdaxkUYlvCkpAYxOA7As\nGI4FOA5gGeXn33qf49qeZ1mA895n2t1vfdxvPxZgOTAsozzW+jzrvx/j3QbXWtZ/P1/9vjb678d4\nj6fU33q/4/38j+8ty7J96jOFcXsgHTuDls374TpSDqf3/VNqCmhBr5DihiZAm5EMTUaKEtCUmQz1\n6GE0mZGQEGMYBrpJ46CbNA5xv3gYto27YFm1DvZNJV3+PiDsKoWwqxR1T78BviAXEbcvhn7ulAH/\nuR5OsixDarbCU2WGeNEMT1XbP7E1jKmqrs8FPzI6DbSTx/sCmnRTJwyavkXSe1idFvo5k30T12Sn\nC8KB4xB2HlRCnPYcDs33aY8IYW8ZhL1lQe3eFu6kuSzU6dKAJ0Z75efb7mvblVO37ddRcJRWTd+t\nOiFLEqTGFojmRnhag5fahzC1D2MyN0J2hiAUrJ9gtBpw8SZw8THg4qKV29bteBO4eBNU8THgEmLA\nmiL71HkPCT2GZRH5nQLwBblo/NV7aH73004XFRJKSlF53fcR+d1vIeap+8BF93ygASEAINY1wvLJ\nRlhWFcF1pLzHjqNOHw29N5xJNzOLQiIIIZdRDUuE6fF7EL3ibgh7DsOysgjWzzdDttp7u2ltOA6s\nsauBSgZlH95w+X4GHZ2DhBjDMGD0WkCvDcvxZFH0BURdHvbkDYJyeJ8XvGFRDm94lN+2E1Jr0JRd\naAuHEpRAqda64bn69UlGr4Vm/FilH8EbzKTNSAYbwYfl/4OQvoRhGF+fe+zPHoDrxBnY1qqkUzEA\nACAASURBVGyFdW0xXIdPBVWnVN8My7/WwvKvtWAjeBgWzlbCm66ZAdagC/ErIISQwct5tBx1P3ld\nWSgiAFxSPOKefwT8jdf0i2sNDMNAm5kCbWYKYn7yfbi/qYS1aCtsa7fCue9IUHXKThfsG3bCvmEn\nzCwL3exJMC6ZB37JPKiGXXksFiEkvNwnKi4LodPnTutyPUeOHPG7mJCcnBzwYJYxY8aIu3fvBgA0\nNTUxFy5cYIcNG3b1DoyrOHr0qF+OTGpqakADm/V6PYYMGSK2Bk+dOHEioDyaf//737qioiIdAIwb\nN87zs5/9zNrVNhPSH1FgEyGEEEL6JcnhRMMLf0Lznz/utCzD6xH34mOI+M6SfnGBp6cxDANVQgxU\nCTHQz57k95zscsN99iLcp8/Bdfoc3N4wJ1f5OUj1YR4w7/bAffIs3CfPtj3GcdDPnawkiy+eB9WQ\nuPC2iRASMrIooumdD9Hw8l8DWs0q6ge3IuZnPwAbpgEbhBBCSH+kGprgW+UUAMSGZgh7DsNRokxE\ndh462ekgwUB5Ki7AUnEBlpVFAAAuMRa6nGxlxeWcbGgmjKWJzlchSxKc+47AunoLbGuK4ams6Xad\nmgljwRfmw7g0H+r00XT+G2aa5BHQJI9A9IO3QbLaYS/eB/vGnbBvKoFYUx90vVJDM6yfbIT1k40A\ny0I3LQOGBbNgWDALmgnJA/rn7BfOVHoCztLj4Q9nykqDdtK4QRXOFCzWoIMmZSQ0KSM7fF6WZUhN\nlrYwp0pvmNPFdgFPF81hDxIPhNRiheuoNehV8wYclm0Lp+JYgGl3n2PBBBhO1b6OjsKp2gdjMd6w\nKHAcnE4BI+rqoK1qgLa6AYIoXTFsq0eoVdCkjYY2U1ntunViBRcTFc5WEEKgBC8YC/NgLMyDp7YB\n1k83wrJqXZcnMct2AdaPN8D68QaohiXAeNsiRCxbBE3yiB5q+cAgi6ISCFJlhueiGWJV+0CmOogX\na+GpruuTgY2XUg1LgG56JrTTJ0I3IxPajBQwahpORXoXo9VAn5MFfU4WTLgHsssNZ+kJOHYehGPn\nQQi7D0G2OcLeLmWiay+G/KhVbeFNWq0S8HSV4ChGo/YLfrpieZ03hOqS51mdf7AUVFzYz8Nltwdi\nfZNf4JKnffBSbbswpvrmPnlO1VMYXg8uPgaqeBO4BG/wUpzpkjAmJZyJjeAH9DUUEhwuKgJxLz2G\niDsLUPfTNyDs6mSSmSSh5d1PYf1/XyL2mQeVMUh0nYj0ANnjgf3L3bCsLIJtw85uLQ7QIRUH7aRx\nSn/OzCzopmeCi40O7TEIIQMWwzDQz8yCfmYW4l58DLairbCsLIJj2/6u12XQKcFI/NUClToOXuoo\niInRaug7H/HDcBwYXg/weoQjekt2e/zDoVoDopwusDFRUI+hRR4IuRJN+hho0sfA9MS9cFdchG1t\nMaxrt8IZZOi4ZLH5xlkwBh0M184EX5gH/vrZFJJGCCFBElusbeHngVyHVnGIXn47TD+6B6zR0PMN\n7CHqscNheuQ7MD3yHXiqzLCt2w5b0VY4th8I7nq8JEHYvh/C9v2oe/p30E4eD37JPPCFeVccc0UI\nCQ978T6/bdWIIVCPHd7lesrLy/1O/EaOHBnwBd4RI0b4vbGcPn2a605g05kzZ/zaMnr06IDfuIYN\nG+YLbDp79mynAyjq6+uZxx9/PApQrh+98847TRqNpqtNJqRfohFGhBBCCOl3nIdOouahX8J9oqLT\nsrrpmUh4+1moRw/t+YYNAIxGDU3qKGhSR+HS7gixsaVdkNM5uMvPK/fPXAgobCUkRBGO4n1wFO9D\n3U9eh256JvjCXPBLcqEeRT9jQvoLd8VF1D7yIoTdhzotqxqeiIQ3n4Z+7pQwtIwQQggZWLiYKPCL\n5oJfNBcAINkcEL4+AqHkEBy7SuH8+ghkhzMkxxJr6mH7/CvYPv8KAMBGGaGbMdEX4qSdNA6MRh2S\nY/VXsihCKDkE63+3wFa0FWJ1Xbfr1GSlwbg0H/zSPGiSqcO+r2CNBhgLcmEsyIUsy3AdPgX7xl2w\nbdoF59dHAVkOrmJJgrDnMIQ9h9Hw4p+hGpYAw3wlvEk/dwpYXh/aFxJGl4UzHToB1/GK8IczeVfx\n1E5Kp3CmEGMYBpwpEpwpEtqJqR2WkUURYm1Dx2FO3lvR3BjmlpPLSBIgAXK7EMgg39WCFq5oJDYm\nSglmal3tOjMFmtRRg/47DSF9kSohBtEPLkP0g8vgPHwKllXrYPnPhi4vROG5UIum1/+Jptf/Cd30\nTETcsRj8jdeCizT2UMv7JklwQqyqU8KXquuUz+Aq5VbZNiuhpP0xFEStgnZiKnTTM6GbPhG66RlQ\nDU3o7VYR0ilGo/b+3mbC9NhdkD0eOA+dVMKbdhyAsPswJIutt5vZ89weZQKsdy3WsL8Lsaw3LKqj\ngCjt5aFQGnWHZfz3VUO2Cb4wJtHcAE9rGJO5EVJDmBdV6mWsKdIveEl1SfCSL4gpzgTWoOvt5pIB\nQpuRgqGfvwnrZ1+i/v/e6vS6rVTfDPPjv0LL+/9F3CuPQzd5fJhaSgY614kzaFlZBOtHGyCaGzrf\nIUAMr4dueib0OdnQ5WRBO3k8vYcSQkKC5fWIuHUhIm5dCPf5ajiK98FTbQZr8IYoXSF4iTUawBh0\nFFxDBhxGrQKjVlEYDCHdpB49FNEP34Hoh+9QgjGKtsG6phjCzoNKP2UXyXYBtjXFsK0pBjRqGHKn\ngi/MB79oDgWXEkJIAGRZhvXj9aj/+TsBX6/Q501D3MsroEkd1cOtCy9VUjyivncTor53E8TGFtg3\n7IStaCvsX+0OerEL54FjcB44hoYX/wx12ijwBXkwFuRCk5VGgbSEhJljq39gk37e1KD+DltaWvwG\nncbGxgY8tM5kMvl94b20ru62JS4uLuAv1CaTyddut9sNQRCg0135uvKKFSsia2trWQC499577fn5\n+WGabExI76PAJkIIIYT0G7IoounNf6Ph1+91vnqYikPMk99D9KN3UsduiHCmSHDegcDtyR4PPOdr\nlPCm8nNwnz7vC3USa+p7rkGy7JuoWv/cW9BMTIWxIE+ZqJw2uueOSwgJmizLsHywBnXPvhnQys8R\nyxYh9qXHBt2EKEIIIaSnsLwehtxpMOROAwDILrcyua+kFMKuUgi7D0FqtobkWFKzFfaNu2DfuAsA\nwOi10E6ZoKzYPGsSdFMn9OuVkwIluz1w7DgA2+otsK3bFpKgEe3UCUpIU2EeBdf2AwzDKEFAWWkw\nPXEvxLpG2L/arfx9bN7Trb85z4VatPzjc7T843MwWg10syeBXzALhgWz+3RwteRwwnX0NJwH+0g4\nU3Y61GMpnKkvYDgOqqR4qJLigekdl5EEJ8SLZngu1sJdWQPxQi3cF7wBTxdq4KmsCeh8kxA/DAN1\n8gglmKk1oCkzBdyQOBoAR0g/pJ2YCu3EVMT+33LYvyyB5cMvYFu/A/B07buGsLcMwt4y1D39O/BL\nchGxbBH0edP6dZ+TLMuQWqxt4UtVdfBU1V6ybR4Y4SAMAy4hBqqhCVANS4B2ynjopk+ENjsdrF7b\n260jpNsYlQq6KROgmzIBeOQ7kEURrrLTcOw4oIQ4lZSG7BoPaUeSIDucIQtAHxRYFlxsNLgEU1vg\nUpzJF7ykio8BFxcNLiEGXGw0haOSXsMwDCJung/++tlofO0faHrnw06/Pzr3H8OFhT9AxF2FiP3Z\nAzTRlwRFbLbA+tmXsKwsgnP/sZDUySXEQJeTDd3MLOhzsqCZMBaMiqYLEEJ6lnrEEKjvKuztZhBC\nCBlgVEnxiPr+zYj6/s0Q65tgW7cdtrXFsBfv63wuSUdcbtg3lcC+qQRmjoN+djb4gjzwS+YpfdSE\nEEL8OI+cRt1PXg9okW4A4IYmIO75R8DfkD/gx1pwpkhELFuEiGWLINkcsG/eo3xGbdgFqSW4/hn3\nybNoOqksLqQangh+SS74glzoZk7s133UhPQHYkMznIdO+j1myJsWVF02m83vDVCn0wUc2KTX6/3K\nWq3Wbr2ZXtqWS+u/mkvbbbFYmCu9lnXr1mk++OADAwDEx8dLv/3tb1uCaS8h/RX1wBBCCCGkX3Cf\nvYjah18M6EKPOnUUEt95Ftrs9DC0jDAqFdRjhkE9ZhiwYJbfc5LFBlf5ebi9AU6u097735wP+UBW\n1+FTaDh8Cg2v/BXq1FHgC3JhLMyjZHFC+ghPTT3Mj//KF9pwNWxsFOJ/+ySMBblhaBkhhBAyeDEa\nNXTTMqCblqFM7pMkuI6fUcKbSkrhKDnU6WrigZIdTgg7DkDYcQDAPwCOgzYrDbpZ2UqI08wscDFR\nITlWb5OdLtiL9ykr9H2xHVJjN/udGAa6mVngC/NgLMyFalhiaBpKegUXZ0LEbYsQcdsiyB4PhD1l\nsG/aBfumEriOfRN0vbLTBcfmPXBs3gM8/TuoU0fBsGAW+AWzoJuZBUbdO91BvnCm0pNwHjwe/nAm\nXq+EM00aR+FMAwSr04IdOxzqscOh7+D51iAKJcDJG+J06e1Fc3ADeMmAwPB6aDNS2oUzJUMzbixY\nvqPfKEJIf8Zo1OAXzwO/eB7E+iZYP92EllXr4LpkkF1nZMEF66ebYP10E7ghcYi4dSEibl/U5xaO\nkEURorkRnuo6iK3hSxdr4amug+eiGWKVGZ6qOsj2/h9syGg14JLifEGPyv0EqJLilICmpDhwCbG9\n9h2YkN7AcJzvnCf6oduVAKej38Cx4wCEXQfh2FXa/esThLTSqKG6JHhJuW1/PwaqeBNYUyRNJCH9\nCms0IPa55Yi4Ywnqnv4dHFv2Xn0HWYbl/dWwrd6CmJ/ej8h7b6DfedIpWZLg2Po1LCuLYCvaCllw\ndas+dfII6Lz9LPqcbKhGD6VxUoQQQgghZMDhYqMReVchIu8qhNiiLCJnW10M+1clwc1JEEU4tu2H\nY9t+1D31OrTTM2EsyKXF0wghBIDYYkXjK++i+b3PAhvjpVYh+sFlMP3onkGxiOelWF4PY2EejIV5\nkF1uZYHPtVthK9oG0dwQVJ2eyho0//ljNP/5Y7Bx0eAXzgFfkAdD7lQwWk2IXwEhxLF9PyC3ZREx\neq0ytj4IgiD4bWs0moBDkrRarV9Zu93erQu9giD47a/RBP7+cYW2XPZa7HY7HnroId+KFr/5zW+a\nY2JiAn7NhAwENDqJENJvjB49GrJMn9OEDDayLMOyah3qnv4dZKu90/JR930bMc8+CNagC0PrSGfY\nCB66SeOgmzTO73FZkuC5aG4X5HQObm+wk6eyptvHdZ86i6Y33kfTG+8ryeIFueAL8qCbkUmD4wjp\nBdb/bob5x78NaGV2w6K5iP/tj6FKiAlDywghhBDSHsOy0E5IhnZCMqK+fzNkWYan4iIcJaUQSg5B\nKCmF+5vK0BxMFOE8cAzOA8fQ/PYqAIA6fTT0s7Khy1FCnPpTMJHkcMKxeTesq7fAvn4nJIutexWy\nLPRzJoFfmg9+SS5UibGhaSjpUxiVCvrZk6CfPQmxzy2H+3y1Et60cRcc277u1kQd96mzaD51Fs1v\nrwIbwUOfPx2GBbNguC6nx75rS4ITriPecKbSE3CWnoDr+JnwhzNlp/sCmiicafBhGAZcVAS4qAho\nJyR3WEaWJCXQ4tIwp8oaJdjiQi3Emvowt5z0BNWIIUowU0YyNJmp0GakQDUqid4XCBmEuNhoRN1/\nC6LuvwXOo+WwfPgFrB9v6PIAWbG6Dk1v/gtNb/4L2injEXH7Yhhvmg8uOqKHWq6QnS4lgKnKDE9V\na/iSGZ6L5raAppp6wBOe7109iY0ygkuKh2pIW/iSamgCuHbbbEwUTUAnpBMMx0E7MRXaianAg7e1\nhXTvOADHzoNwHT8DyS5AdjohCy7ITteAeA8hwWMMenAJ3sCluGio2gUvca3hTAnKfTbSSO/DZMDT\npI5C0ke/ha1oG+qf+X2n41ikJgvqfvIaWt5fjbhXVkA/MytMLSX9ifvMBVhWrYPlw3XwXKgNuh7t\npHFKQFNONnQzJkIVbwphKwkhhBBCCOn7uEgjIr69ABHfXgDJLsD+1W7Y1hZ3a7yOc28ZnHvLUP/z\nt6GZmApjQR74pXl9bvEGQgjpSbIsw/rRetT/4p2A+1H1edMQ9/IKaFJH9XDr+gdGo4bhmhkwXDMD\ncb96HMK+I7AVbYOtaCs8FReDqlOqa4LlX2th+ddaMEYD+AWzwC/JhWF+zqAMyBrMZFmGZLFBrKlX\nxgnU1Cv3a+oR89R9NJe2Gxxbv/bb1udkBx2OptP5/xxcLlfAnWpOp9OvrMFg6Faggk6n89vf5XJB\nrw9sUcNA2/LUU09FVlRUcABw3XXXOe+55x6ho3KEDGQU2EQIIYSQPkusb4L5iVdhW7u107JcYiwS\nfv9TGK6dGYaWke5iWBbq4YlQD08E8qf7PSfZBbi/qVSCnMqVQCdh92F4zlcHdSxPZQ2a//Qxmv/0\nMbj4GPBL5oEvyIV+7hRaXZmQHiY2W1D30zdg/XhDp2UZowFxLz6KiDuW0CBvQgghpI9gGAbqMcOg\nHjMMkXcsAQB4qusg7D4MoaQUjl2lcB0t91tVpDvcJyrgPlGBlr9/DkAJWdDNUsKbdDnZUKeM7FPf\nEySrHfZNJbCuKYZ94y7Idkf3KlRx0OdOg7EwD/ziueDiaJLFYKMeMQRR370JUd+9SQkB274f9o27\nYN+0K+hzYgCQLDbYVm+BbfUWAMqEHsOCWTAsmAVtdnpQwSWS4ITraDmcB0+0hTOdOBO2Cb5+4Uze\nf+rkERTCQgLCsCxUibFKGN6UCR2WkV1uJQijNcSpsgZiXRNkjwjIEiBKkEVRuZVkQGp3XxQBSYIs\nSn63vvutj0vt6vHWoZRV6mh9vv1+svfYvv1k+ZI6pDD/b/YNjFYDdfpoaDNT2wKaMlJ6PECFENI/\naSckQ/uLhxH77A9g/2oPLKvWwbZ+B+Byd6ke5/5jcO4/hrpn3gS/aC4ili2C4doZYFSB9zv4BlS2\nhi/5ApnqlM+fqjp4qmoh1XcehN/nMQy4eJMSvpQUB1VSaxhTvBLQNDQeqiHxYPnABgcSQrrGL6T7\n/ls6LCN7PJCdbsguN2Snyxvk1BboJPke6+CfcPl9SXABrg72u/S+q+0+CS02OkIJWmofvBRv6jCM\nid5/CbkcwzAwFuTCcM0MNP3+AzT9YaUScHcVrrJTuFj4MIy3LUTssw9CNSQuTK0lfZVkc8C6egss\nK4sg7DwYdD2qUUmIuH0xIpYthnrEkBC2kBBCCCGEkP6NNehgLMyDsTAPsssN+9avYVtbDNu6bUFf\nW3cdPoWGw6fQ8MpfoU4dBb4wD8aCXGiy0vrUuCVCCAklZ9lp1D31OoTdhwIqzw1NQNwvHwG/NJ/e\nG6+A4TjoZ2ZBPzMLsT9/CK4j5bAVbYVtbTFcR78Jqk7Zaof1sy9h/exLMFoN9HnTwC/JBb9oDrjY\n6BC/AhIusixDarL4BTF5auohVtcpt63bNXWQHc4O64i890ZokkeEueUDg+z2wLHjgN9j+rxpQdfH\n87zfoHpBEAJ+k3Q4HH5ljUZjtwboX9oWh8PB6PX6gOq8tN0RERGX7VdSUqJ+++23eQDQ6/XyO++8\nMwAGtxDSdTRDnRBCCCF9km1TCcyPvQyxtvNUbn5pPuJ/87/gYqLC0DLS01iDDtrMFGgzU3yPybIM\n1+FTsK4phm1tMdwnzwZVt2huQMs/PkfLPz4HG2WEYeEcGAvzoM+fAVavDdVLIIQAsBfvQ+2jL0O8\n2PnKkLrZk5Dw5tNQj0wKQ8sIIYQQ0h2qIXEw3ngNjDdeA0AJaBT2lEHYVQqhpBTCweOA2xOSY3nO\nV8N6vhrWj9YDANi4aOhnZkOXkwX9rGxoMlPAcFxIjhUoscUK+4adsK3eAvtXu7s9mZDRaqDPnw7j\n0nwYFs6hYAniw+q1ympYC2ZBlmW4T1bAtnEX7Bt3Qdh9WAmECZLz4HE4Dx5H46t/AxcfA8N1M2FY\nMAv6/OngIo2XlfeFM5We8AU0hT2caWIatJMonImED6NRQz1qKNSjhvZ2U7pElr2hTZLsC5TyD4e6\nNDxKCXqSpdaycrsgKm/ZK+zXYVCVKCltEMUOw6naAqw6CKeSLtlPviTgyntrs1pRV1MDj1EPYUQC\nUhdfi6GzpnQpIIUQQgCAUanAXz8b/PWzITa2wPrZl7B8uA7O/ce6VpHLDdt/N8P2383gEmJgvOV6\nRNy+GJr00RDNjcogytbwJe+tWNW6be5+8GtfoFEr4UveECbOG76kGhoPVZI3kCkxlhbRIKSPY1Qq\n5TtVLwX3yLIMuNxXCHhyKmFSHYQ+Sb7nXW1lOtxfuS85XUoo1aVlBGffD0BlWXCxUb6QJa6D4CVV\nQtt9RqPu7RYTMiCwBh1inroPEcsWo+7ZN2Ffv6PTfawfrYetaBtinvwuou67hb4HDTKyLEPYfRiW\nlUWwfv4VZFtw3/kZgw58YT4iv7MEulnZdD2UEEIIIYSQTjAaNfj5OeDn50B+9QkIuw/DunoLbGu3\nQqyuC6pO96mzaHr9n2h6/Z9QjUwCX5ALY2EetNMy6Ds6IWRAEJstaPzVe2h+99PArpGrVYhevgym\nx+8BazT0fAMHCIZhfPPkYp78HtzfVMJatBW2om1w7i0Lqk7Z6YJ9w07YN+yEmWWhm5UNY0Eu+CXz\noBqWGOJXQIIhSxKkhmZ4qltDl7xhTK3btUook1jb0OliAZ0Ra+oBCmwKivPgcUgWm99j+nlTg64v\nMjLS7820oaEh4MCmpqYmvy+Yl9bV3bbU19ezMTExAQ38bWpq8rVbrVZDp9P5Pe92u3H//fdHi96x\nzD/96U8tqamp4RlUTEgfQ72AhBBCCOlTJLuA+p+/jZa/fdZpWTaCR9wrK2C8dSElcg9wDMNAm5UG\nbVYaYp++H66TFbCt3Qrb2q1wlp4Iqk6p2QrrR+th/Wg9GIMOhutywBfmgV8wC2wEH+JXQMjgIdkF\nNPzyj2j+6386LctoNYh55gFEPXArdVwSQggh/RQXFeELlQEAyeGEc/9ROEpKIZQcgrCnLGQTkKW6\nJmUVvLXFAADGaIBueib0OdnQzcqGdvI4sLrQB7GKjS2wfbFdCWkq3ge43N2qj9FrlfOPpfl0/kEC\nwjAMNOljoEkfA9Mj34HYbIFj814lwOmrEkh1TUHXLZobYFm1DpZV6wAVB93MLPALZoEx6HwBTb0S\nzpSdBu2kcRTOREgXMQwDcBzAYcBOBvVUVeHCnj2+bTZlBIU1EUK6jTNFIup7NyHqezfBdbICllVf\nwPLx+i5P4BBrG9D89io0v70KUHFh+w7Vk9hII7ikOKiS4n3/uKHxfgFNbGw09dMRQrqNYRhAqwGn\n1QCRvdMG2eNpC3K6JNRJEpwdh0G53Eog1CWPS5eWad2/g9ApqFTg4k1Q+QKYTO2CmNoCmLjYqLCH\nlxNC2qjHDEPSB6/AtmEn6n72e3gqLly1vGy1o/65t9DywRrEvbwChtzgV+Qm/YPnYi0sH34By6p1\ncH9TGXQ9uhkTEXHHEhhvvIb6DwghhBBCCAkSo1JBP2cy9HMmI+6lx+Dcfwy2tcWwrimGp+JiUHV6\nzlWh+Z0P0fzOh+ASY8EvyQVfmAv97EnUX0kI6XdkWYb1o/Wo/8XbEM2NAe2jz5+OuJdXQJMysodb\nN/Cpxw6H6ZHvwPTId+CproNt3TbYirbBsX1/cH3MkgRhxwEIOw6g7unfQTt5PPgl88AX5EKTOir0\nL2CQk0VRWbypph6emkvCmGrqIVZ7b2vrwzZmQKypD8txBiLH9v1+25q0UVAlxgZd39ixY/1+6OfO\nnQu4c+/SsikpKd36BRo9erTf/mfPnuUCDVWqrKz0tWXUqFGXreT8xhtv8GVlZSoAmDBhguepp56y\nXVqGkMGCzgYJIYQQ0mcIB46hdvkv4S4/32lZ3axsJLz1DNQjhoShZaSv0aSNhiZtNEyP3wP3uSrY\nirbBtqYYwp7DgCx3uT7ZLsC2egtsq7cAGjUMuVPBF+SBXzwXXGx06F8AIQOUsP8oah96IaD3cc3E\nVCS+/Sw048aEoWWEEEIICRdWr/UNeAKUiW7Ow6cgeAOcHCWHIDU0h+RYstUOx+Y9cGz2hjZo1NBN\nHg9dThb0syZBNyMz6MkMHnMj7Ou2wbp6S/Cd4O0wvB789bPBL82H4dqZYHl9t+ojgxsXFQHjt66F\n8VvXQpYkOA8cg33jLtg3lQQdagwA8Ii+gRvh4BfOlJ0O7aRxUI8dTpNPCSGEENKrNGmjEfvcg4j5\n2f1wFO+DZdU62NZtgyx0cUXLvh7WxDBKOEhSPDhfGFMcVEMTlICmoQlQDYmjlXEJIYMKo1KBMaoA\neu8jhFwFf/1s6HOnovmdD9H4+j8hO5xXLe8+eRZV334c/A3XIO75h2l1+wFGEpywr9uOlpVFcBTv\nA6TgFjznhsQhYtkiRNyxGJpkmvRICCGEEEJIKDEsC920DOimZSDmueVwHSmHbc0WWNcUw32iIqg6\nxZp6tPztM7T87TOwpkjwi+aCL8yFIW86GK0mtC+AEEJCzFl2GnU/eU2ZfxUAbmgC4n75CPil+bSI\nSw9QDYlD1HdvQtR3b4LYZIF9ww7Y1m6FffOeTq89XonzwDE4DxxDw4t/hjptFPgluTAW5kGTlUY/\nw6uQ3R6I5oa2EKbqOv9QJu+2aG4M+jpgT/FQYFPQuPgYv22xvgmyJAW9yGhmZqbfYJHy8vKAs1zO\nnDnjGzwbHR0tDxs2rFu/aBkZGX5BS0eOHDHMmDFDw7KspFKpPFqt1tXRe4LD4UB1dbWvLenp6ZcF\nNn3zzTe+56uqqri0tLSEq7VFEAS/Az3zzDORr7zySgQABgBef/114brrrhNZlhXVarVHrVa7u/t+\nxSgVjAWQDGAEgGgAegA2AE0AjgM4KMtyaFamJoMWBTYRQgghpNfJHg8af/cBGn/zB2K80AAAIABJ\nREFU984HsKtViHn6fkQvX0YT+AgAQD0yCdEP3oboB2+Dp6Yeti+2w7amOPhJ1S437JtKYN9UAvMT\nr0I3exKMBbngl8yDauhVzx0JGbRktweNv/07Gt/4ABA7+bvjOJhW3AXTj+4Fo1GHp4GEEEII6TWM\nSqWEKE0eDyy/HbIkwX3qLBwlh5QQp12l8FyoDc3BXG4Iuw9B2H0ITb/7AGBZaDKSlfCmnCzocrKh\nijddcXdPdR1sa7fCunoLhF2l3e5QZSONMCyaA+PSfOjzp4PVabtVHyEdYVgWuqkZ0E3NQMxT98FT\nXQf7l7uVAKcteyDb+kY/ImPQQ5vVLpwpOx3q5BF0bYcQQgghfRbDcTBcOxOGa2dCbLbA9vlmtKxa\nB+fest5uWuc0aqiGxPlCmLihCUoYU1JC23ZiLBg1DRkihBBCCAkGq9PC9Pg9MN66EPX/9xZs/93c\n6T62/26GfdMumFbcjeiHbqcJvP2YLMtwlp6A5d9FsH66EVKzNbiKNGrwi+ch8o4l0OdPo2ulhBBC\nCCGEhAHDMNBmpkCbmYKYp+6D69RZ2NZuhW1NcdALZEmNLbCsLIJlZREYo0FZ0K0gF4brcmhBN0JI\nnyI2W9D4yrtofu+zwMZGqlWIXr4Mph/dS+9nYcJFRyDitkWIuG0RJJsD9s17YCvaCvv6nZBagrsG\n5T55Fk0n30fTG+9DNTwR/OJ54AtyocvJGjTXo2SnC57ahquHMNXWQ6xrAmS5t5sbFLGmrreb0G/p\nc6cCr/zVty3WN8NVdhrarLSg6jOZTPLw4cPFyspKDgD27NkTUGeA0+lEaWmpr+z48ePdQTWgnYyM\nDL/Uqd27d+tvvfVW3zbDMLJer7dHRERYOY7zfTDs3LlT4/G0ZTRlZmZeFtjUXmNjI9PY2NilN5S6\nujq2rq7t97ahocFgsVh82yzLSjzPW41Go60rwU0Mw+QAuAnAXADZADpb+dnDMMxaAG/JsryxCy+B\nEB8afUUIIYSQXuX+phI1D78A574jnZZVjxuDxHeegzYzJQwtI/2RKjEWUffeiKh7b1SSxdfvgHVt\nMRyb93R99WsAkCQI2/dD2L4fdT99A9qpE8AX5MJYkAf12OGhfwGE9EOuE2dQ89ALcB062WlZ9djh\nSHj7GeimZoShZYQQQgjpixiWhSZ9DDTpYxB1740AAPf5agglpXDsKoVQcgjuU2dDczBJguvwKbgO\nn0Lznz8GAKhTRkKXkwVkp0HtaQFYFpFfn0TjO0Uw7z/W7c5WNiYK/OK5MC69Bvp5UyigkoSdakgc\nIu8sQOSdBZBdbjhKSpXwpk0lcJ8+F5Y2MAY9tBNToZ2UTuFMhBBCCBkQuKgIRN5zAyLvuQGu8nOw\nrPoClo/WQ7wYovDZLmAjeHBJcVANTVBCmYYmeLfjoRoSDy4pHlxsVNCrPRJCCCGEkMCphydiyLvP\nw751H+p++gbcJ69+bVu2C2h46S+wrFyH2BcfBb9gVphaSkLBY26E9ZP1sKxcB9exb4KuR5udjojb\nF8P47QXgTJEhbCEhhBBCCCGkqzSpo6BZcTdMK+6G+3w1bGuLYVuzFcKew0GNIZKtdlg/3QTrp5vA\n6DQwXDsTfGEeDNfPBhcV0QOvgBBCOidLEiwfrUfD8+9ANDcGtI8+fzriXl4BTcrIHm4duRKW18NY\nmAdjYZ4yDnDHAdiKtsJWtA1ibUNQdXoqa9D8l0/Q/JdPwMZGgV80F/ySXBjypvXLgHnJ4ewghKkO\nnmpvAJP3Mamhubeb2iNYUyS4xFioEmOhGj2st5vTb6lHJkE9ehjcFRd8jzm2fR10YBMAXH/99c73\n3nvPAAAVFRXcyZMnubS0NPFq+3z11VcaQRB820uWLBGuUvyqZFlGY2NjtMlk0qekpOD06dMAgG3b\ntkGWZbQGIMmyzNjtdl4QBL3JZGrUarUuAFi/fr3fCsU33HBD0G0JliRJrMViiXQ4HPqYmJiuvOk9\nAuDOLpRXAbgRwI0Mw3wC4H5Zlpu60lZCGLmfpv2R8GIYJgOAb6nIsrIyZGTQJGtCCAmllpYWbN7c\ntuLaNddcg8jIgTsoQ5ZlWD5Yjbpn/gDZ7ui0fNTyZYh5+n6wOm2nZQm5lGS1w/7VbmUFjA07IVvt\n3a5Tk5EMviAPfEEuNOPHoitpvYQMBLIkofnPH6PhhT9DdnYeiBb5/ZsR+9xysAZdGFoXXoPtM5wQ\nQgjpaWJdIxy7D0PYdRBCySE4D58KbEWnXsLFx4AvmAd+aT70syeBUdE6CaRvcn9TCdumEtg37oRj\n50HA1e0FeNrCmbLToc1Og3bSOApnIoT0qKqqKuzZs8e3PWPGDCQlJfViiwghg5UsinBsPwDLh+tg\nW1MM2eHsdp1cfExbGFNSHFRJSgCTKileCWRKigdrNISg9YSEF11DJ4QQMhjIbg+a//oJGn79t4DH\npBgWzkHcC49CPXpoD7cuOPQZrvxc7Zt2oWVlEewbdwGeq86puSI2NgoRt1yPiDuWQJtBCxUSQgjp\nOfT5TQghoeGproPti+2wrSmGY/sBQAzuXMBHxUE/byqMS/NgWDQPqnhTaBpKBgz6DCc9xVl2GnU/\neU0JoguAalgCYn/5Q/CFeTRHqo+SJQnOfUdgLdoK29qt8FRc7HadjNEAfn4O+II8GObn9HqftGS1\nK+FL1XXwtAYveUOZfMFM1fWQWqy92s6ewsZFQ5UYCy4hFqohcb5QJm5InHKbGAsuIYbm2IZQw2/+\nhpa/f+7b1kxIxtCPfhvQvm63G2az2bcdHx9vXr9+Pbd06dKY1scef/xx62uvvWa5Wj0333yz6bPP\nPvNNuDt69Gjt+PHju/wlVJZlNDQ0mJxOpw4AXn75ZfzhD3/wPb9y5UoxLy+PlWXZ702eYRg5Jiam\nnmVZ96hRoxKrqqpYABg6dKh0/vz5Grabi4Zt2LBBs3DhwtjW7ddeew3Lli3zHZvjOFGWZYiieNkg\nfI7jRO7dzx3WD9YYJIfTJlvtVgAfJZu3rbi0LMMwH+DywCYRwHkATQBcAKIAjAXQ0arM+wFcR6FN\npCto5gghhBBCws5jboT5R7+G/YvtnZblhiYg4Q9PwzBvahhaRgYq1miA8YZrYLzhGshOF+xbv4Zt\nTTFsX2wPOinbdaQcriPlaPz1e1CPGQ6+MBd8YR60k8bRytVkwHOfr0btD1+CsONAp2W5pHgk/P6n\nMORPD0PLCCGEEDIQcHEmGAtyYSzIBaB0vgp7y+DYVQqhpBTO/ccCCozs0TYmxcNYmAe+MA+6mRMp\nnIb0C+qxwxH9wC2IfuAWSFY7HNu+hm3jLtg3lUCsMne6P2PQQTsxrS2cKTsd6pSR9PtPCCGEkEGJ\n4TgY8qbBkDcN0q9+BOt/t8Cyah2EktLLC6tVSujSkDglgGlovDeQKaEtoCkxFoymo7FghBBCCCGk\nP2DUKkQvvx3Gm+aj/pd/hPWj9Z3uY1+/A+e37EX0D7+D6B/eOSAXP+qvnMe+gWVlEayfbIBobgyu\nEo6DYX4OIv4/e/cdHlWV/w/8fcv0QhoJvQdFepEqRURKABfXBohld9Vdde3uWtcuoouLZd1FZb/i\nbxWxrbgmgKsihA4SAlKkSRdIT6a3e35/hAyZJGQmQwrl/Xoen5lz55xzPxPDlJt73ndaBixXDuHn\nfSIiIiKic4jaIgXNbp2CZrdOQai4rDy8KSsbnuUb4ztnKRiC5/sN8Hy/AXj4VRgH9yo/72jiCKit\nUuv/CRDRBS9U6kDxrH+h9P++iO1imToVCXdNReIDN0O2mBq+QIqbJMswDuwJ48CeSH76Lvh37IMr\nKxuuxdnwb98X15zC6YZz0TI4Fy2DZNDDNKI/LBNHwjJ+GJTkhHqpWwgBzeEqD2E6GbxUOYgpHNB0\nohDC5amXfZ5VZBlKSkJ5+FLlEKaq7eZJPI7YBEzD+0cENvl37EMwrwhqalIto05vwoQJvm7dugV3\n7typAsDbb79tufPOO93p6ek1BjCtWLFC9+WXX4b/QDB27Fjf6cKa9u3bp3Tp0iX8AXLo0KH+1atX\nF1a0nU6ntSKsCQBuvvlmvPvuu/D5yi9C9vzzz4urr776uKZpxtLSUrumaQoACCGk4uLipLlz57oq\nwpoA4K677nKeaVhTbex2e5nZbHbLsiwAQNM0yeVymR0ORzi5MhQKKcFAoC5/QHECWApgOYBVAH4S\nQkRchU2SJAOAsQAeBzC40kP9ALwO4JZ4ng9dmBjYRERERI3K9fVq5N0/C1pB9JBR66/HIOXlB6Ek\n2BqhMrpQSAY9LFcOgeXKIRDBILzrtsKZuQKurGyEjhfENWdg/xGUvLkAJW8ugNIqFdaM4acWbqv8\nyE3nDyEEHAuXoODx12O6Kqj1urFImXk/X8eJiIjojMhWM8yXD4T58oEAAOHzw7v5J3jXbYF33VZ4\nN/wIzeFq8DrUdi1hmTQS1smjYOjXjUGtdE6TrWZYJgyHZcJwCCHg37YX7m/Xwv3NWvh3HwA0AX23\nTjD0uZjhTERERERRyDYL7DdOhP3GiQgcOYHArgMQgQDUls2htEqFktyM3x+IiIiILhBqixSkvfUk\n7DddhYJH58C/fW+t/YXPj+LZ8+H4eCmSn78HlozhkCSp1jHUMEIlDjj/8y0cHy2GL/enuOfRXdwR\n9mkZsF5zJdS05OgDiIiIiIjorKYk2mGflgH7tAxoTjfc36yFM3MF3N+ug3DHESihafCuyYV3TS4K\nHn8dhv6XwDJxBKwTR0LXqU39PwEiuqAITYPjk69R9Nw/Yw6hNo26FCkv3Q99l3YNXB3VN0mSYOje\nBYbuXZD0598isP8oXIuz4czKhm/jtrjmFD4/3N+Un0eYL8swDukNS8YIWCcOh9o6rXp/IaAVl50+\nhOlEIYInytvC46thj+c4RYGSmlRDCNPJ27Ty7UpKAtcXnsWM/S6BbDVDq7ROzrMqB7Zfj4lrPkVR\n8Pzzz5dde+21SQDgdrulq666KmnJkiWFHTp0iEjRy8nJUadNm5aknQzXk2UZL774Ylk8+w2FQpLT\n6bRW3nbxxRc7brvtNvmtt96yAMCOHTvUG264IXHhwoXFKSkp/sLCwpRQKKQAwH/+8x/5pZdeCi8A\nbNmypfbggw/Wywn6wWCwWhJZcnJyocFgiEhDlWVZ2Gw2l16vDxQWFoYPsAc1TRVADAmEeB7A76oG\nNFV18vGvJEnKAvAOgN9VevhmSZJeFkLsiGF/RAxsIiIiosahOd0oeOrvcPz7q6h95WZWpLzyUNxf\naohiJakqTJf1g+myfkiZeR98m3fClbkCzsxsBA8cjWvO0C95KJ33OUrnfQ45uRks4y+DZeJImEf0\nh2TQ1/MzIGo8wfxi5D/0CtxLVkXtKyfa0Xz2w7BedXkjVEZEREQXGsmgh2lwL5gG9wIAiFAI/u37\n4Fm3Fd61ufCu3xr/Fa+r0HVqA8vkUbBOHgV9r65cKEPnJUmSYOiZDkPPdCQ+cHNTl0NERER0TtO1\nSYOuTfUTVYmIiIjowmIa3Attvn0XZf/vKxTNfAdaqbPW/sHDx3Hi1ie4QK6RiVAInhU/wPHRYriW\nrILw+aMPqoFst8L66ytgmz4Rhj4X828JRERERETnKdlqhvXqK2C9+gpoHh88yzfAmZkN99eron7v\nOx3fph3wbdqBoufmQt+9MywTR8IyaST0F3fkdwsiqhPfj3tQ8Mjf4I0xqEdtnYrkF+6FZeIIvt6c\nJ3QdWyPh7mlIuHsagscL4Fq6Cq6sbHhW5QDBUN0n1DR4V2+Gd/VmFD7xevnFH/tchFB+STiEKZRX\nFPcxtbOaXncqfCktGUpqcjiUKbytRQov3nSekHQqTMP6wvX16vA2z4ofzmht8zXXXOO77bbb3PPm\nzTMDwE8//aR279499frrr/f07t07EAgEpPXr1+v++9//mgKBQHjcc889VzZgwIBgPPt0Op1WIUT4\nBV2n0/mtVqtz1qxZ0urVq/W5ubk6APjyyy+NnTp1Sps6daq7ffv2nvz8fOuyZcuwdu3a8FwGgwEL\nFiwoMplM8f4IIvh8PnPltk6n81YNa6rMYDD4rVars3IAlQCi/mMTQuyqS11CCE2SpLsBXAGgQ6WH\nrgHAwCaKCQObiIgucJrXh8D+o1CaWaG2Sm3qcug85f1hO/LuegGB/Uei9jUN74fUNx+vMXWZqCFJ\nsgxj/+4w9u+OpKfuhH/HPriysuHKWgH/jp/jmlMrLIXjwyw4PsyCbLPAPHYoLBNHwDx6EGRL/Xxh\nJWoMrsXZyHvor9AKSqL2NY8ZjOZzHoHaIqURKiMiIiICJEWBoVdXGHp1Be64FkIIBH4+DO/arfCs\n3QLv+i0IHjwW83y6izvCOmkkLJNHQd+tE09GICIiIiIiIiIiIqI6k1QVzX57NaxXjULhi+/A8WEW\nIEStYzzLN+LwiFuQ8IfrkfjgLZCt5lr7U3z8+w7DsXAJHJ98jdAvefFNIkkwjRwA27QMWCYMh2wy\n1G+RRERERER0VpNNBlgmDIdlwnAIfwCe1ZvhylwB15KVcV9ozr99H/zb96H4lf+DrnNbWCaOgGXS\nSAbDElGtQqUOFL00D2XvLQI0LfoAnYqEu6ch8f6buK7pPKa2SEGzW6eg2a1TECpxwP2/1XAtXgn3\nsvUQHl9cc/pyf4Iv96d6rrRxSUY9lBYpUFNPBi/VEMKkpiVDTrTzvfcCYxrePzKwaU0uhD8ASa+L\ne85//vOfpQ6HQ/r4449NAOB2u6X58+fXeNBfkiQ88MADzieeeMIVz76EEPB4PBFz22w2hyRJsFqt\nIjMzsygjIyNp69atOgA4duyYPGfOHGtNc1mtVsybN6941KhRgZoer6tAIKCGQqGITBtVVaO+EFmt\nVqfL5bJUhFAJAEIIub7/ZQohfJIkfQbg4Uqbu9Xzbug8xsAmIqILjOb2wvvDNnjX5MKzdgt8m3aE\nU2z1vbrCPn0irL8eAyXR3sSV0vlABIIofnU+iuf8O+pBH8mgR9KTd6DZHdcxWZianCRJMHTvAkP3\nLkj682/h33c4HN7ky9kZ15yawwXn59/A+fk3kIx6mEcPKg9vGjsMSoKtnp8BUf0IlTlR+PjrcHy8\nNGpfyWxCygt/hG3GZB6YJCIioiYlSRL0ndtB37kd7DMmAQCCx/LhWbcF3rVb4F23Ff6dkaGs6iWd\nYP/VFbBMHgl9evumKJuIiIiIiIiIiIiIzkNKSiJS5zwC+02TUfDoa/BtjnLeSSCIkjcXwPHp/5D8\n7N2wXn0F/wZfDzSnG84vv4fjo8Xwrt8a9zxqh9awT50A6w3joWvDCxISEREREREg6XUwXz4Q5ssH\nIuWVB+Fd/2N47UHwaHwhsYF9h1HyxocoeeNDqK1TYZk4EpZJI2Ec2AOSotTzMyCic5HQNDg+XorC\n5/4Z04W5AcA06lKkzLof+s7tGrg6OpsoCTbYrh8P2/Xjobm9cH+/Aa7F2XB/vRpaqbOpy6sXktkE\ntUVk8FLVECYlLRmy3cpjrVQj0/B+gCSFL7ogPF54f9gO09A+cc+pqioWLlxYMmnSJO/MmTNtO3fu\nrDHXZcCAAYHnn3++bPz48f549+X3+/WapoUXZSuKEjIYDOH5WrdurW3cuLHgueees7777ruWvLy8\nagu49Xo9xowZg2effdY/YMAAb7y1VOXxeIxVt0mSVPvVLQDIsiyMRqPX4/GE0wVDEGoDhePsq9JO\naZjd0PmIgU1EROc5zeGCZ/2P8K49GdC0eScQDNXY1791Nwq27kbh02/BkjEctukTYRrejwfzKC7+\nvYeQd+fzMSUn67t3Qeo//wJDt06NUBlR3ek7t4X+3huReO+NCB49AdfilXBmZcO7dktsCfRVCK8f\nrsUr4Vq8ElAVmIb3h3XSSJjHXwY1NakBngFR3XlW5SDvnpkIHjkRta9xUC+k/v0J6Dq0aoTKiIiI\niOpObdkctqvHwHb1GABAycEj+OHDzwFZgj+lGS67/mrY7QyvJiIiIiIiIiIiIqKGYex3CVovnQvH\ngsUofGEutMLSWvuHjhcg7/fPomz+IqTMegCGSzo3UqXnDyEEvGty4fhoMZxfrYBwe+KaRzKbYL1q\nFGzTMmAc0puLuoiIiIiI6LQkRYFpaB+YhvZB8gv3wJf7E1xfrYArcwUC+4/ENWfwaB5K3/kUpe98\nCqV5EiwZw2GZNBKmYX0h6bg8mOhC5Nu6G/mPzoFv47aY+qtt0pD8/D2wTBzB4xoXONlshHXiCFgn\njoAIBOFZvRmurBVwLV6JUF5RU5dXjWy3QjkZtlQ1kElNTYbSIhlqWgpkq7mpS6VznJKcAEPPdPi2\n7g5v82T/cEaBTRVmzJjhnTFjhjc3N1fNzc3VHT16VFYUBa1btw4NGjQo0LVr15oX/Negc+fOISHE\nsarbvV6voXJbr9f7qr7e6/V6vPDCC85nnnnGmZ2drd+9e7dy4sQJxWq1IikpyTZw4EAkJiYCgF7T\nNEmW5aihSrHw+XzGoUOH4ujRowCAhISEYrPZHFMglMFg8FUObAqKBgtsqhoqFVsSIhEY2EREdN4J\nlTjgXbcFnjW58K7dUv4BsY5hIsLnh/OL7+D84juorVNhmzoBtqkZDGGgmAghUPbeIhQ+8xaEx1d7\nZ0lCwh+nIemR30Ey6BunQKIzpLZOQ7Pbr0Wz269FqKAYriWr4MrKhjv7ByAQrPuEwRA832+A5/sN\nwMOzYRzUC5aJI2CZNJJX4qMmoXl8KJr5DkrnfhK9s16HpMduQ8KdNzDgkYiIiM4pcqIdru4dmroM\nIiIiIiIiIiIiIrqASLIM+4xJsEwaiaJZ81D23qKo5/Z5127BkdG/Q7PfXo3ER34LpZmtkao9dwWO\nnIDj4yVwLFyC4IFf4p7HOLg3bNMmwHrV5Vz0RUREREREdSZJEox9u8HYtxuS/vJ7+Hf+DFdWNlyZ\ny+Hf8XNcc4byi1D2/pcoe/9LyAk2WMYNKw9vGnkpZJMh+gREdE4LlThQ9NI8lM2PfkwJAKDXIeGu\nqUi8/ybIFlP0/nRBkXQqzKMuhXnUpUh5+UH4Nu2AM2sFXFnZZ3RMLRZyov1kCFMKlNSTIUwV7bRT\nbdlcNUOFqOGYRvSPCGxyZ29C4iO/q7eguz59+gT79OkTx+LT6AKBgK5yW6/X+0/XV1VVjB492j96\n9OjwthMnTphDoVB4YWAwGFT1en3gTOsSQiAYDEbk2dRl3qrPQ4NQhBANET44qEp7U33vgM5fDGwi\nIjrHBfOL4V1bHs7kWZtbftBO1EtwZfn8R/NQ/Or7KH71fRgv6wf79AxYJo7klx2qUfB4AfLvfxnu\n79ZF7au2SUPq35+AaVjfRqiMqGEoKYmw3zQZ9psmI1TmhPubtXBlroB72XoId0xBv5GEgHfdFnjX\nbUHhX96Eoc/F4fAmfZd29f8EiKrwbdmFE3c9j8Dug1H76rt3Qeo/nuRVPImIiIiIiIiIiIiIiIiI\niOpASbCh+awHYJ8xGQWPzoF3/dbaB4RCKH33Mzi++BbJf/kDbFMnQJLlxin2HKF5fHAtzobjo8Xw\nZG+K+xxKpVUqbDeMh33qBOg6tannKomIiIiI6EIlSRIMl3SG4ZLOSPrTb+Dfd7g8vClrBXw5O+Oa\nUytxwPHxUjg+XgrJbIL5yiGwThwB85VDGDpLdJ4RmgbHwiUofH4utIKSmMaYLh+IlJfug74z1yJR\ndJIsw3hpDxgv7YHkp++Cf8c+uBavhCtrBfzb98U8j5ySADUtMnQpIoSpRQrU1CRIBn0DPhui+JhG\nDEDJ3z8Kt4OHjiF44BfoOrZuwqpiEwqFIjJjdDpdnYKhVFUNVg5sCgQC9RLYFAqFFCFEOF1JkiSh\nqmqoDnWFJEkSAMJzaICi1DKmriRJ6gbg15U2BQEsqMdd0HmOgU1EROeY4PECeNbkwrsmF561uTEF\nKtQX76oceFflQLbNgfXXY2CbngFD324NkUZJ5yBn5grkP/RXaEWlUftarx+PlJfug2K3NkJlRI1D\nsVthu+ZK2K65EprbC8/yDXBmroD76zXQypxxzenL/Qm+3J9Q9OI70F3UAdaJI8vDm3p04Wsv1SsR\nCKL49X+j+NX3gWCU4x6yjIR7piPpT7/hQVIiIiIiIiIiIiIiIiIiIqI4GXp0Qauv/g7nZ/9D4TP/\nQCivqNb+WkEJ8u+bhbL/91+kzHoAxj4XN1KlZychBHybd8KxYDGcX3wX9/k5kkEPS8Zw2KZlwDSi\nP6R6Xe5BRERERERUnb5zW+jvvRGJ996I4NETcGathCtzObzrtsYVQCvcHri+XAbXl8sgGfQwjboU\nlkkjYRk3DEqivQGeARE1Ft/W3ch/dA58G7fF1F9tk4bkF+6FJWM41x1RXCRJgqF7Fxi6d0HSn36D\nwP6jcC3Ohi/3J2huL5TUpOohTGnJUJonQdIxtoLOXfpunaA0T0Io/9Rxenf2D2h2lgc2aZqGymFL\nAKAoSsyhSAAgy3JE/2AwWC//mKvOU3U/sTg5JjxPEEJVUD/vb5IkDQLwKYDKCyRfFEIcrpcd0AWB\n73xERGe5wKFj5QFNa7fAsyYXwQNHm7okaA4Xyt7/EmXvfwndRR1gnz4R1uvGQW2e2NSlURPQHC4U\nPP46HAuXRO0rJ9rRfPbDsF51eSNURtR0ZLMRlowRsGSMgPAH4FmVU34FjCUrEcovjmvOwK4DKN51\nAMV/ex9q+5awTBwJ68QRMAzozqsm0hnx7z2EvLtegG9z9KuzqB1aI+2tJ2Ac2LMRKiMiIiIiIiIi\nIiIiIiIiIjq/SZIE23XjYBl/GYpmz0fpO59GvdCSb9MOHB17B+w3TUbS47dDSU5opGrPDsEThXB+\n9j+UfbQYgV0H4p7H0LcbbNMmwHr1GCgJtvorkIiIiIiIqA7U1mlIuONaJNxxLYJ5RXAvXQVn5gp4\nVm6KfiHeGgifH+6vV8P99WrkqwpMl/WDZeIIWCYMh5qW3ADPgIgaQqjEgaKqGXiHAAAgAElEQVSX\n5qFs/iJA06IP0OuQcPc0JN5/E2SzseELpAuGrmNrJNw9ranLIGpwkiTBNKI/nJ9/E97myd6EZrf8\nqgmrik7TtGoLS2VZjuGN45SqAU81zRmPUCgUMU9dg6ROjol4LhpEzLVJktQcQO9Km2QANgDpAMYC\nGAVEpD/NBfBsXWukCxsDmyguTqcTZWVlTV0G0XlHCIHQgV8Q2LANgQ0/IrBhG7Rf8utl7nzNj5xA\nGU5ofniFhjSrHRf16YX+E8ZA7d4FgTW58H72LbTjBXWaN7DrAAqffguFz8+F/vKBMF53JfQjB0BS\na7/K1M6dO7F9+3YcO3YMiqKgZcuW6Nu3Lzp06HAGz/KUnJwc7NmzB8eOHYPJZELLli0xaNAgpKWl\n1cv8DcHlctXaPhsFftiOsodehXbkRNS+uuH9YHv5fmhpyXwPoQvPgG4wDOgG/ZO3IZCzE/6la+D7\neg20Y/G9xgcPHkPpPxai9B8LIacmQX/lYBjGDYNuYA+mkVPMhKbB++9MOF9+D/D5o/Y3Ts+A9dHf\nwm8xwc/X8Qjn4ns4ERHRhY7v30REROcmt9tdrc3jzURERGc3fgcnIiKKnf6hm5B41Ug4n5uLwJot\ntXcWAmX/779w/Pd7WB66GcYbxkFSaj9nry7Otvdw4Q/A//1GeD//Bv7lPwChOq03CZOSE2CccjmM\n114JtWt7AIALAuDxBSIiOg+cbe/fREQUB6MKTBkF65RRMJc64F+2Eb6lq+FfmRPT+d7VBEPwLN8I\nz/KNKPjz36D2vwSG8UNhGDcUSqvU+q+f4sL3cKpMaBq8n38L1yvzIYpKYxqjG9Ef1qd+D7VjaziD\nfqAsjtcLIiICBnSD+Ox/AMoDnLybtiNY6oBss9TYXQgR0Q4Gg3U+SC/LslY1lKguhIgMMJIkSUiS\ndLruNZIkKeKJCCHqNsFpVJ2n6n5iUa22yIClaIYB+CKGfj8CeFoIEUtfoghS1RcCoppIktQdwLaK\n9htvvIF27do1YUVE5wkhYPilEJbdh2HefQSW3UegK63fgyo7g0687DqAtYFShFD9Nb9FixaYMmUK\nxo8fD2garDsPIWHVj7Bv3gs5jiR2AAg0s6BkyCUoHtYD/paR6etr1qzBJ598ggMHDtQ49uKLL8aN\nN96Inj17xrXvpUuXYtGiRTh+/Hi1x2RZRq9evXDrrbfWWzDUhUoKhpD65WqkLN2AaB+RNZ2K49eN\nQNHlfYE6ftAnOq8JAePBE2iWswf2TbthOFF8xlMGLUY4endGWb+ucHZvD8HwJjoNXVEZWr+3FNad\nh6L2DTSz4Oit4+Ds2akRKiMiIiIiIiIiIiIiIiIiIrrACQH7pt1o8cly6IscMQ3xtEvFL9OvgKdL\n6wYurnEZDucjcfU2JKzbAdXpiWsOochw9OqE4mE94OjREYhyMUoiIiIiIqKzjez1w7ptP+w5e2Db\nsg+KL3DGc7o7pKGsX1e4u7SGplchdAqEWn6r6VQInQqhKhCKzLVARI3EePAEWn34Lcw/H4upvz/J\nhmPTRsPRpwv/nRIR1QPJ50f6X96DFNKg1+shSRISXn4ApjGDa+wfDAbP+GKDVqvVabfbY/tDQA38\nfr+uoKAgpaIty7LWokWLE3WZw+l0msvKyppVtA0Ggy85Obko3poqOBwOi8PhsFe0jUajNykpqU6L\naIuKihIdr39oDH76DdwuF4TLU2aRlPc656+8P9pYSZKmIHpgUw6AlwAsEkIE61IbEcDAJooRA5uI\n6ommwXikoDygadcRWPYcifskgmgCiVa8b3Dg1Z3rEAhFD17q168fHnnkERgMBgCA4vSg2YadSFy1\nDaZDeXHX4ercCiXDeqCofzre/Ne7WLZsWdQxsizj2muvxfTp02Pej8/nw8svv4ycnJyofVVVxe23\n345x48bFPD+dYvilAG3mLY7p98LTLg1HbsuAr1Vy1L5EFzQhYDhWCPumPbDn7IHpcPyvuxVCBh2c\nPTuhtF86nL06QTPq66FQOucJgWbrdqLVgu+geHxRu5dcehGO3TgGIaupEYojIiIiIiIiIiIiIiIi\nIiKiCpLPj+aLNyDl640xX3yxeGh3nLhmBILNar7i97ng1LmL22E6VKd1JRG8rVNQPKwHSgZ3Q8h+\n7v48iIiIiIiIKpMCQVh3HIR9027YcvdBdXsbdH9CQji8qTzIqTzYSdMpMWyvuF+xvUooVJXt4Xl0\nCjS14n75XAyjofOZ7PIibdEqJC3PhRTDkn9NVVAw/lLkTxgEYdA1fIFERBeQNu9kwrLrMFRVhaIo\nME0ehYRn7qyx79kQ2OTz+fSFhYXhBdyyLIdatGhRp8WpLpfLVFpamlDR1uv1/pSUlMJ4a6pQVlZm\ndTqdtoq20Wj0JCUlldRljqKiogTH6x+aKgKbNKfbYZXV/6vHwKYKBwH8XgjxdV3qI1KbugAiovNa\nSIPp4InygKbdR2DZczSmcIR4+FOawdW1Tfl/F7XFit3b8dfZs1ERzCdJEgYMGIDu3bvDaDTi8OHD\nWL58OVwuFwAgJycHc+bMwZ///GfIsoyQ1YSi0f1QNLofjIdOIHHVNjRbvxOqq24H8iz7foFl3y+Y\n9/bbWOY6Gt5uMBgwYsQIdOzYEcFgEHv27MHatWsRDAahaRo++eQTWK1WXHXVVVH3oWkaXn311Yiw\nJqvVilGjRqFt27bweDzYtm0bNm3aBCEEgsEg5s6dC7vdjiFDhtTp+VzQNIGkZZvR4vNsyIHag0KF\nJCE/YxDyJw8pPzBKRLWTJPhapSC/VQryJw+BLr8E9pzy8CbLvl/imlLxBdDsh11o9sMuaKoCZ/cO\nKOuXDkfvzgzfuUApDjdaffANmm3aE7Vv0GzEsRljUDrw4kaojIiIiIiIiIiIiIiIiIiIiKoSBj3y\nrr4MJUO7o+XCZbD9uD/qmMQ122HfvAd5Vw1D4eV9gHPl3C1Ng3X7ASSu3gZb7r6YA6qqCpqNKB10\nMYqH9YC3fRoX9BIRERER0XlH6FQ4eneGo3dnIBiCZfcR2HN2w755L3SlrnrfnyQAyR8E/EEoaJg1\ncbHQVCXGsKgq4U/V+lTdfrp+1fcBWW6y50/nKU0gYc02tPgsG6rTE9MQR4+OODZtNPxpiQ1cHBHR\nhcnVrT0suw5D0zQoigLf6s0QmgbpLP0cIEnVov7qfFBcCBExpoY541IftVUdU5fahBCLKo+XJEkF\nkAjgEgBjANwGoMXJh9sDWCJJ0u+FEO/GUSddoKSKIA+i2kiS1B3Ator2unXr0K1btyasiOjsJHwB\nBH/cA/+GHxHYsA3BnJ0Qrti+LNeV0qkNdJd2h25QT+gu7QGlVfPwY3l5eejbty+cTicAwG6344MP\nPsDIkSMj5iguLsb06dOxZs2a8LbZs2fj9ttvr3GfwheA/7t18Hz6DQIrc4AY30O+9xfh9rId4XYX\nox0L7nsMXX5zPZSWKeHtP/74I6677jocO3YMACDLMlatWoXu3bvXOv+7776Lhx9+ONweMmQIPvro\nIyQmRh54WLFiBWbMmBFOLLVarcjNzUXz5s1xNnC5XNiwYUO4PXDgQFgsZ8eVvULHC+B45DUEVm2O\n2ldu1wL2vz4E3YBLGqEyovNf6EQh/N+ug2/pagTW/wiEtDObUJGhG9QThvHDoL9yCJTUpPoplM5q\nvmUb4HjsdYiC6CHUuuH9YJt1H5QWKVH7Urmz+T2ciIiIasb3byIionNTfn4+tm0L/8kSPXr0OGuO\n8RMREVHN+B2ciIio/viWbYDz+behHToeU38lvT2sT/8e+iG967yvxnoPD+4/Cu9n38D3xTJoJ+K8\nYLcsQ3dZXxivvRKGMYMgGfT1WyQREdE5gt/BiYgubELTEMz5Cb6vV8P39RpoR/OauqTzj6qUf+fU\n6yAZdIBeD8mgh6RXAUPFfR1g0FXqpz/Zt6b75X18QsPuA/sRshjhT0tE/9Ej+R5+AQhs2wvn0/9A\nMHdXTP3l1qmw/uUO6McMhsSAaiKiBhM6cgIl15WvV694vU37cBYMPbtW6xsMBlFQUBBuJyYmFqmq\nWqerEciyrCmKEveC0UAgoObn54dPoJMkSbRs2TK2PyKc5HA4LA6Hw17RNhqN3qSkpOJ4a6rgdDrN\nZWVlzSraBoPBm5ycXKd5CwsLk5xvLDAEP/0GbpcLcHlKzZIyv3P+yvvPtD5JkmwA5gKYXmlzCMBl\nQoh1Zzo/XRjUpi6Azk1WqxV2uz16R6LznObxwbdpOzxrcuFZuwW+H7ZBeP0Nsi99t04wDukD05De\nMA7pDTUt+bR9H3/88XBYEwDMnTsXkydPrtbPbrcjMzMTl1xyCY4fL//8NXv2bPzhD384/YGdqROB\nqRMRPHoCjo+/RtlHWQge+OW0tWhCYLbrQLhtgoy3TelI+lcWit5bAvPlA2GblgHL+GEYNmwYPvvs\nMwwfPhyapkHTNMycORNfffXVaed3uVz461//Gm63aNECWVlZ1cKaAGDy5Ml4++23MW3aNACA0+nE\na6+9hjfffPO08zcli8VyVrzWOhctQ+GfZkMrcUTta5s+ESkv3gvZam6EyoguEHY7kN4RuHMaQkWl\ncH29Gq6sbHiWb4TwxfGeE9IQWLMFgTVbgKf/CeOA7rBMGglLxgjoOrSq//qpSWlONwr+8iYcH2RG\n7SuZjUh+5i7Yb53CA/hn6Gx5DyciIqLY8f2biIjo3OByRV4R1mw28z2ciIjoHMPv4ERERGdgyhgk\njx+O0rcWovj1f0N4fLV2D+05iNIZj8M6ZTSSn70baqvUuHddn+/hmsMF56JlcHy0GN6N26IPOA1d\npzawTcuA7YbxUFsy0JmIiKgqfgcnIroAjR4MjB4MMetB+LfuhjNzBVyZKxDYe6ipKzs/BEMQQQ/g\n8kDU89QdKt33JH0A7aIO0Ke3hy69fflt1/ZQW6dCkuV63jM1tlBxGYpeehdl878ERAy/SXodEu+Z\njoR7Z0A2Gxu+QCKiC90ldrg7tkHgwNHwJt+qzTD1vrha16rr71RVDel0umCD1xhZQ0TYkxBCEkLU\naW2gECKic9U5z6C2iDe6qvuJRbXaUH8fw4QQDkmSbgLQDMDEk5sVAK8CGFZf+6HzGwObiOicFwwG\nsX79euzduxcnTpyAqqpo0aIFhgwZgo4dO9bLPlwuF7Kzs3Fo7884vmU7TCeKMd5jhGXHASBQ82cn\nTQhsDTqxL+RGoRaAIklIkXTorlrRRY0SZiPL0PfoAtOQ3jAN7QPj4N5QkprVPuYkh8OBefPmhdsD\nBw4MBxTVJDExEU8//TTuvPNOAMDx48excOFC/O53v6t1P2rrNCQ+eDMS7p8B79otKFuwGK6vvq92\nEsiaQAl2hdzh9k2mlmivmMobmgb3d+vg/m4d5EQ7bNeORf/pE3Hdddfh448/BgBkZmZi79696NKl\nS411LFiwACdOnAi3n3rqqRrDmipMnToVr732GtavXw8AmDdvHl566SVYrdZan++FKFTqQMFjr8H5\n6f+i9pWTmyH1b3+GJWNEI1RGdOFSkprBPi0D9mkZ0JxuuL9ZC2dWNtzfrIVwe+o+oRDwbtwG78Zt\nKHz6Leh7pMMyaQSsk0ZC17UDQ3vOcZ41uci7ZyaCh45F7WsY0B2pf38C+s5tG6EyIiIiIiIiIiIi\nIiIiIiIiiodsNCDxoVtgvX4cCp/6O1yZK6KOcS5aBtf/1iLxoVuQ8PvrIBn0jVBpJKFp8K7JRdlH\ni+HKXAHh9sY1j2QxwTplNGzTMmAc2JPnthAREREREdVAkiQYel8EQ++LkPzEHfDv2n8yvCkb/m17\nmro8ikIUlcK7dgu8a7dEbJfMRug6tw0HOOm7nLzt1KZJvutT3QhNg2PBYhS+MBdaYWlMY8xXDEbK\nzPug69SmgasjIqLKTKMGIDD/VGCTe8UPSLj79Ov0m5Isy9XClTRNkxVFiTl0KRQKKdHmjEfVGqru\nJxahUCgirVJG/YRJVRBCaJIk3QsgA0DFHxyGSpKULoTgB2eKioFNRNRgOnTogIMHD8Y9fv/+/ejQ\nocNpH8/Ly8Ozzz6LBQsWoKSkpMY+ffv2xaxZszB27Nio+xs1ahRWrCg/eeGWW27B/Pnzkbf/AB7+\nw934/Ptv4Q74I/q3tvfAYH1CtXk8IoR3PUfxgecYikSgxn21k42409wG1xjSIEsSoCgw9LkoHM5k\nHNwLij2+AKElS5bA5zsVmnT77bdHHXPjjTfiwQcfhMdTHvbxxRdfRA1sqiDJMkzD+sI0rC+0WffD\nuWgZyj5aDN/JK1/9z18Y0f96Y4sa59GKy1D67mcoffcz/KqNFR9XemzRokV4+OGHaxz3xRdfhO+b\nTCbMmDEjas233357OLDJ6/Vi6dKluPbaa6OOu5B4Vm9G3t0vIHg0L2pf85VD0HzOI1DTkhuhMiKq\nIFvNsF59BaxXXwHN64NnxQ9wZa6Aa+kqaCWOuOb0b9sD/7Y9KJ71L+i6tINl4ghYJo2EofdFPMHt\nHKJ5fSiaNQ+l//g4+hUXdCqS/vxbJPxxGiSVXw+JiIiIiIiIiIiIiIiIiIjOBbq2LdDivRfgXr4R\nBY+9hsDeQ7X2F24Pip6fC8eCLKTMvA/m0YMapc7AoWNwfLwUjo+XIHgw+gWnTsc4rC/s0zJgmTQS\nssVUjxUSERERERGd//QXdUTSRR2R9NCtCOw/CtfibLiysuHbuhvC548+AZ0VhNsL/4974P+xSnaA\nLEPXvhV06e2g79oeui7ty2/T20NJsDVNsRTBt2UX8h/5G3ybdsTUX23bAikv3gvz+Mu4loeIqAmY\nhvdH2fwvw23/jn0I5hVBTU1qwqpqJssyFEUJVQ5DCoVCSl0CmzRNiwhSUlU1WB+1VZ2n6n5iUa02\nSPVSW2VCiJ8lSdoCoE+lzUMBMLCJouKKXCI6J3311Ve48cYb4XDUHkixefNmjBs3Dg888AD+9re/\nxTy/N2cnvr50Cm7JWYITWuwHng6EPPhN6XYc1mq/+tMhzYvHnHuRlarg0zf+idSRgyBbzTHvpzZZ\nWVkR7XHjxkUdY7PZMHjwYHz//fcAgG+//RZerxdGo7FO+5ZtFthvmgz7TZPh330Ajo8WY/kLp4KW\n2spGdFCinyzR53AZDJDhQ/nnwf9+8BEeeuABSErkZzGv14vvvvsu3B4yZAhstugHkq688sqIdmZm\nJgObThI+PwpfejemkA/JbETyc3+E/earePCHqInJRgMs44bBMm4YRCAIz5pcuLJWwJWVjVBeUVxz\nBvYeQsnrH6Dk9Q+gtkmDJWMELBNHwDioZ7XXYzp7+H7cg7y7X4B/589R++q7dULqW0/C0DO9ESoj\nIiIiIiIiIiIiIiIiIiKi+mYedSnarpiPknc+RfHs+RAuT639A/sO49gND8OSMRzJz/0Ruvat6r0m\nze2FK2sFHB8thmdlTtzzqG3SYJs6AbYbJkDXof7rJCIiIiIiuhDpOrZGwt3TkHD3NAghgEAQwh+A\n8PogfH4IXwCaz19+3+uH8J+89flP9qu4X2m7L3DyNvI/zXtyjM9fPn/4fuRcCIWa+sdybtM0BPYf\nQWD/Ebj/tybiIaV5Uo1BTmrrVK4FawSh4jIUzXwHZe//N/rFuAFIBj0S/jgNCffOgGyu27pOIiKq\nP8Z+l0C2mqE53eFtnlU5sP16TBNWdXqKogQrBzYFAgFVr9cHYh0fDAYjMmd0Ol29hCIpihKSJEkI\nISQAEEJIwWBQUVU1pg9/wWBQqRhbQQYa6oPjPkQGNrVooP3QeYaBTUTUYDp06ABVjf1l5tixY3C7\n3VH7LViwADfffDNClQ7GDBo0CGPHjkXbtm0RCATw448/4pNPPkFRUXlIxZw5c6CqKl555ZWIuYLH\nC+BduwWetbnwbf4pvL1g117cHtyCE5ofKiSM1CdigGpHgqyiWAtifaAUSpWDEr+EfJhWshX54tRn\nmDRZjwx9CjqZbEDbFthpCOGr7ZvhcLsAAKt+3oVfPfcoVq5cCX3MP6nabdmyJXy/devWaNu2bUzj\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Zs2dr/b25OKWlpeHgwYNC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m4fXJKkyTNL5sEf0hqf35ZS1KEp9PCXzLzaxaGSpPluuufB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     "output_type": "stream",
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LdioqItSxu61eHb48bpwNMutrvF5v2HJ6enrCR1LcEVfl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\nArVrQ7Vq8MAD8O238O+/7jnjP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JCanEioT4d1PMFntCdUQslogYNdDJEhGLLa3oMJyK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tJknkKhcFib0K1bN2ZarVbjxIkTJvOs8fTTT2Pjxo0AgDNnzmDLli144oknzMatqqrCO++8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\nfg8pD90N7592w/PcS+bv7iEyLrSj/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ogrKiqKSyG1uLhYe+ONNwAAmqbh4MGDliuuuGLQ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\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4qIiHSHceoHL8b8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\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2X0IMUr0HeLz6//1mtgWwXtW5bobWx4lCLLyMwQWbtqnaPqRCbJ5PZYIIxHMfCMyrF7/T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\ngwMwBfJ7PMW4lN8ATIUMH08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BOGjQoOj9+/erAeD9998P7dSpk/Xee++1lOzb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\nber51772tYyuJ3nmwIEDy103ZcqUUgFNt99+O2effXaV++fl5XH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FIFSnv4OD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6+/8sZLf/7VfQ8gy6tXr+Dp6YnExERu36pVq7Bo0SLBx1ZE8h7X0tJSLT0JIYQQQgghhBBC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\ncfvq1KmDuXPny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vx/r2NEuPeziP/c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\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pgGtbCVzbSoxAmXBPHi0KEJITISYnQEjpHfqU2PM8KYHOA01gHMfBNDUdpqnpiPrcdQB8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\n01NgnjcFlgXZMIxJ4/FrChshBITNcW24U0k5fCVldYOerpZ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7ePB8sj3a88n6uJdj0SVJkjQsE0NJkqRJUzuX1gBExPOBw4G/Ax5FaaxrfqB0zG3TXDcV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\nucCNPdNeUF8X4jr005m48RbgDmpTpjlk+NrMHJ1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ID2+6+URExD+6dIEvv/Te/+uveznx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\nanz66ac4ciTQ5zAwYcIE3Hjjj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zfkCQCqVq2KY8eOoUGDBuKyQ4cOITo6WokjUY4m7ylNTU2xaNEiPHnyBPPmzSsw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\nP2w+kpKS8izLyMhQaq4PqlevjqFDh8Lb2xuWl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sUdu2bdvi9OnTaN68ORQKBQDgl19+qdTQNUvs37+fC/QEgE2b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MNDIIaHQBkRAmVYMJRtgwAAstli/7FYHY+oXOay3AKYq57bX7dWPLcCltrGeDCXyaPMmD8P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\niIjoamYrNaJ00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c9Qa2pq6tLuLvSrJ7GPo7m5eVjryc3NHXA92dnZTJgwgaKiIpxOZ5f7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\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2bdrA0tKywHldu3aVxfk1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A1msW3o900W3oauDg4AM7Mq/eB7cEV6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\nzDtQdfT8O6bXvSffI/5jEc8GYINYYOKC+ZyfuXbiJLkkyW8l+enW2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MNIX1oPpy6izLzd\n/DY5BNgO+NmA+1sBbEkZhHIAYw1xBwKb9Kx+NLUxsb5fB3ya0rF0s/rZc4GzgZP6eJD2AGVGcSjf\nw+2UBr5JtQba/mtEnA28CnglpYL71nW1VZQBQFcA3wZOyczLptqvJGlRMMMHeyC4itI55TcYe+j1\nxPo66EOua4GfUh6u7cf4woxByXEos5xdBZwJ/Hs/s7pIkhY883uS/G46t0bECyjf0wN1H+fXe+bZ\n6MwbWbw5Ir4OvJHS8ajtfso9+KWUTq0nZKYzl0qS/oyxez2A66mDQ5qMagZB1CJOP4qIvwDez9gA\nyJV1P++ndMrcILXj7WGMLyaVwHl1+aQDVCJia0p+H0q5Nz6KUoBp0wlWfyO1OFV9P0LJyJe01jkU\neB3wV31k9l2Mtb83+5sqay8E7qX8HlrG+H+HXg8AVwLvy8wTplhPkrQ4zOk9+ESyzOq9K6VdGUqu\n3Ua5B50uv7vUhu49uCRpQ5jhc5jhba1Bv831bUFp07irWb4h+5ckLSjm9xw+B+9X6zgnZeb/PhTH\nlCTNe3Pel43yjHpbYH/gGEo78sH1nG4E3tEqarRuquzs2Hiya7EvuiRJ0qJmoSdJkhahViPT0ZRZ\nQZoHR2fUh1vrzSjeagy7EHgPcFJr8S9HxGMy87szPKXvUAZrbFPfH0hpXBtokCnwe8ALgH0oFc6n\nchhwem3saxrFvl63fyqlYXD/us+TGOu0MplnUBrTRikdZ76WmXf1e+KZeTnwloh4O2Vmte0pHWOS\nMiPatcD1mbm6Od9+ZpORJC0sZjjQyvB+d17z/nuMzYg2CuwfEXtm5rXNejVjN6E8pFuVmfdNsLs7\nKTPEPJly7ZvXz0cYe/B2DfA9SiGNKzPzdvNbkhYv8xuYJr9r59YVwNsoOb28LnpLXT5p7teMXUF5\n3nHPZFnb/jwzvxERZwI71mtYAtxD+a1wI6VIxE8zc+QhnEFVkjTPtDqJPq1n0Vn1PnNFbzGCVqaf\nQOkU+7bW4p0i4tcz8zMbeF7N7N8vZXxxpvsz8319DAz5D8o97UrGzwA6kWMps4qPtNrRPw48nbHf\nEsuB3wH+iuk77/5Rz/tLM/P6Kda/nlIAYqsJlo1Q8vsW4PvANyi/r37iPbgkLV7z8B68Oa8mv4+g\n3CM3bdXXZuapfdx7dqkN3XtwSdLAzHBgHmT4BLagtG98CzgF+EpmXtHv+UmSFjbzG5gHz8EH1eyn\nFrYYtR1dkhaf+ZDhEbEH8BxKv7Uj6mtT3KgZk3UH8EsR8VLgf4GvZ+aNU+y2S+PJ7IsuSZK0yFno\nSZKkRag2vm0J7FI/2oQyGOKcunzSyuG1ge7kiDifUt18LeU3xcsi4prMvGOQU6mvFwE3MTYwZC9K\n49q5/eykNXDlkcCRTDwj+o3AqZRGttObRq6s6rVdHREfoTRYLqU0sj09Il5Fqc6+tmnUrA1kw5TK\n7QG8jNLIuYbSQPeD/r+GMXVg0JenWcdGOUlapMzw8Rk+wPlCeej1I+AxlPxeSXlAdm1E7ATsADyC\n8sBwX+BLwCd7O/dk5t0R8Q+U2VF2pTzgvILy0G2UOsg0M+9sH9z8lqTFy/zuO79fATyqOQzwBep3\nNME5LKMMMNmF0qnmaMo9+tuBm/u5jnr/fS3w/mnWc4CpJC1StVPn7sB2rY9HKfeLTZZMtu0I8DcR\n8ceMzfgJ8IcRcU57sOUMzisjYjnwup5Fn2zOe6LtWh1y92Oso2ivUUqH0S8BH22KJvW0o58eEf8M\n/Hlru20j4l8oHV1XN78Xajv6Mkq7+RDw4p7jXTzNtd4QEb8PvBDYkzJjafNbZi1wK3BFZl7Xs533\n4JK0SM2je/DefWdELKHMbA7lWTTA8c15T7RdF9vQJ+I9uCRpOmb4vM3wn9f9SpK0HvN7fj4H79dk\nzxIkSQvfPMnwA4APTbKsmazowPofwK8AV9bn79/MzDXNyl0cT2ZfdEmSJFnoSZKkeag2mj0NuIsB\nZ+oawDrgiYxVDF8BXNXHuTWNYJ+iDAhpZtL+JeBrwGn9zrTZahC7MSIuo3QqgdIodnBEbJ6Z9wxw\nTV8AXk35jbMK+D9K0aSvZ+Y1Pdcx4Tlm5pci4suUgSON91FmRv9I0yhXz31t3dffAs9jbNaXS4HP\nDXDe63G2UknqJjN87jK8D7dQCli0O6K+IiK2ocy+8mhg59aynwGfnOT3wtXA1TM4B0nSPGR+z21+\n144vWwJvpHR8WUvpvPKBplNO7Yi7GWVAyj6UPH98fW3ye5TyPQ3cwdV7cEnqplqE6U2U+70PTNXh\ndAOsAXZqvR8Czujj3JqiSl8GXkrJOICDgV8F/r6V8zPxZ5T8bNzHNIUTWv6TMiikcSvwTeBjmXlm\ne8XJzjEz3xIRv0npdNp4DSWvX9oUeaq/P1bXfZ3G+O9yNeOLRU0oM08HTu/ryiRJ895iuQefxNMp\n97LU87qQMkN4PzrVhj4V78ElqZvM8MWd4RExBBZllKSuMb/nNr/nw3NwSVI3LZIMP3+Cz35OmfTn\nRuAQyrPonSkFlUYoxYtPAP4S+NgE23dqPJl90SVJkhY3Cz1JkjQP1M4QTwSeCzyLsarj/0Op5H3L\nRjjsCOWB0RCQlAdAuwBXTrNd05j1LeAS4En1/d6UyuWnDdoRpK5/AfAcSvVyKLOXbA/cM91sJ62G\ny1MpA1ROzsyLJjjWkrJ6rpvoHFuNjv+PMrvZMyjf0bbAOyPi8cCJwP9FxMMoD9NeDhxLaaRbXnf1\n5sy8r9/vYJJrsmOMJHWAGT4/Mnya8xymZPSOwN3146Y95Jj630QOi4idM/PGafYf9VqcJUWSOsL8\nnj/53dyHR8TrKf8OzaxmXwbOj4g9gT0onXceDxxO6bQzkSHgsRFxwaC/F7wHl6RuqPd3v0tpkz2E\nsfbYnwOnUDpMzrZVlOxujNRjnzrNds0sof8BPJuxokybUH6D/P1MOuS2Cki9qWfRiZn5k6m2bRXC\n+gfgKcC/ZuZ/TnCM5cBoZo5MdI6tc/grSqfW7ZpFwIsj4nBKx96PRMTjgBcALwK26dnVOzLz1qnO\neYJjew8uSR2zmO/BG61n0H9AKbbc3Pt+JDNvn2rbhdCG3st7cEnqBjPcDG8zvyWpG8zv+ZPf8+U5\nuCSpGxZbhte+abdFxBmUglMnAt/IzOvr8s2A+4Gtgd8BXln3v5pSWOpPIuLSzPw2LIzxZD4HlyRJ\nWnws9CRJ0hyJiAMpAzyeQ2mUG2otXkvJ6U0y85aNNKvlPsDtwO6UARh3MtawNKlWw9FVlArnT6zb\nb0p5kLRlZt41g/M5l1Jxfsf6/gDgYcBP+m2sqjOcPDgTee3QEsC6LNZOujFjDXyZeX5E/D7wDWBP\nSmPk5pRGuGdTBuMM1883rZsvAe4A3pqZ/c76IknqIDN8PXOe4b3qoNStKd/RgcDjgMcCB1Pyu9nf\n0nqcxihwFmUGty/007nVh2qS1A3m93rmRX7Xzq07AX9C6TS0jPLv8RPgA5QOMQcy9Xc1CnwbOAP4\nkp1bJWlhiYhfBl5PycAtJ1ltaWZe2up4OZuOoQzAWFHfr6HMrj2lVp6eBnyf0qm1cUBE7N50VO1X\nU2ApIt7NWHElgHuA3+t3P7VT6bHt/VJ+G62pGb56mu1H6uu/R8RPKffQTb+DoHSyfTvwjsl2AXw2\nM9/V7zm3ju09uCR1gPfgY1oDO59PmdG8Gdh5LvDpfvfT5TZ0SVJ3mOFjzHBJUleY32PmU377HFyS\nNJ3FnOHNPjLz2N5ltQjUvfXtL4C/i4hvAV+hjOmCMsbr1RHxnRyb7KjT48l8Di5JkrT4WOhJkqSH\nSETsSnlw9FzKIIqJBqWM1v+aRrrNYXZnxaoNX00jUPu3wI6UauN9qQ+hLgBuAHarHz8COJRSobyv\nxsTWOt8DfsbYINPdgf0j4tuDXH+tZB6ZObohg3oy86qIeBHwT8ATWou2ZOLfUD8BPgicMNNjSpLm\nJzN80v3MywyvXgW8DDgI2GaC5ctaf18KfBU4GTjTTjGStDCY35PuZz7m919TilWMUjq5LgHeOs02\n5rckLVARcRjwBuCZwM6MH5Q4meUwbqbO2TiPdoa3O9VuAtzd735qYab/o7QxD9ePtwZeAPzTIMWp\n6r6GKTORtx03XXGmXjXDh7LMVjoy7QaTn9O3IuLlwMeBLdqHmGSTEcqM5X8402NKkuYf78Gn3dcQ\n8Lb6UXP9b5tBYQfb0CVJs8oMn3ZfZrgkad4xv6fd13zKb5+DS5IeZIZPej5LKDk5WosxZc/y4cw8\nJyKOB/6Y8kx6iPL8/SDg4vaxHE8mSZKkrrDQkyRJG0lErKTM9v08SoPcHtNsciOwDti19dn3I2L5\noIM0ptJq+LqG0rmjeb87ZZDKtFqNe1dQHirtVvezI3AUpTJ73+r+7o6ISygNe0FpfHsUsBWlUnxf\n6nltcDXz2th3cUS8EHgJ8DrK9e1QV7mb0ih5JWXGlM/ngDOwS5LmJzO8f/Mtw1sDZPcDjp5ktRuA\nUykDS0/rnTmmdvhpTskZUiSpI8zv/s2X/G7ldlNsajXlmcU6ymzjbea3JC1QEbE98Ebg14B9mf75\ndTMgYrj12XURsXlm3jNb59XKk7MZX+hpmPEFjSbVyvCzKLN3blcXLaHM9PlPMzi1zwIrWu9/Cnxi\n0J3U89rgwlg1z0+MiO8B76D8FlvG+O9sNeX6zwfemZnnb+hxJUlzy3vwgb0BOJDyHSwBPkf5fTAQ\n29AlSRvKDB+YGS5JmnPm98DmPL99Di5JAjN8gPOZrhhjUyzqZMpkUUfU99sChwAX9+zP8WSSJEnq\nBAs9SZI0yyLiQOAk4OHTrHo38APK4IaLgHOB44BfB9ZQGs1+lpmrB5mRpM9zHMrMVRFxN2VA5wOU\nRrn9gR9ON4t4q3Hvhnruv0RpDFtGeUA2aNX4IUqj5HnArwIr6+eHADsBt/dUjt/oMnO0fk+3Ah+K\niI8CR1IaIe+iXOtdwHWUf6eRh/ocJUmzywxfEBneHOfrwB/Vv++lPDQ8Gfh6Zl7b3qC3Q8xs/ntJ\nkjY+83tB5PcpwAsZX7TC/JakBS4ifhn4Av09r76L0kHyXOC/gE8xPvtvyMx7psvUGZzjcGbeFhEj\njB988QTgfyJiaWaOTLZ9K0svpnRy3a61eL+6Tt/nGxEHAM/p+fiDmXnXXLVNZ5mpdTgzLwdeHBFL\ngddSZmv9BeU3z62U3zAXZub9tqNLUnd5Dz74PXhE7AC8irHfEvcC/5KZD8xRJtqGLkmLkBluhpvh\nktQ95veCyG+fg0vSImSGz6gv26Rax/oppahUU+hpE0pxqlk7Vs9xHU8mSZKkjcpCT5Ikzb5VTNwo\nN0JpWLqA0hh3CXA9ZSbrtbVh57a6btO401dF9BmI+noecFjreMdQBtf0JTPvi4grGWvYA9gtInbK\nzJsGOJ/m+OdRvo/N6vv9gT2BS+dokMpo6+91TDOri41yktR5ZnjHM7yV3WcCfwz8X2Ze3LteRAwD\no3aIkaQFwfzubn43Gfyt+vod4KvAKea3JC0KdzD5s+r7KR0iz6PMfnkxcC3wQC0UdFfP+ivYOJri\niFcDB7c+fwbwp/3uJDNvjYjLKQWiGttExMGZecl027cKSr0H2LS16OrM/Pt6jDlrm2538q3n+dFp\n1rcdXZK6y3vwPu/BWwNhXg48hvIdLQW+lJmn1WPM5fNv29AlaXExw81wSVL3mN/dzW+fg0vS4maG\nD96XrR93Afcwdq4rgLWzPRlUm+PJJEmStDFZ6EmSpNl3HaWy+qMos4x/j9IAdjFwDXAbcF/vw5iI\n2ArYpb5dThnMchnMfoXxVkPWd4A3AMP1/RN6lk+qVW38euBnwD510fb175v6rUjeur4fUr6j3er7\nbYEDIuKbOcXM6A8lq6xL0oJmhi+QDM/M+4EPNO/rbGfZXNPGeqgnSZoT5ndH87uVy9dFxLLMXNte\nbn5L0oJ3DmMdPkeAmyj5fQalc+vVwC29//+PiD2A7Xr29T2Y/axo5eGZjC/0tE/P8km18vlyxgaX\nQLnuJwKXTJXhddlIRBwOPLN9esDbBrmeh5Lt6JK0YHkP3sc9eF22LiJ2A363fryEMhDlHwe/qtln\nG7okLTpmuBkuSeoe87uj+e1zcEla9MzwAfuy9XGs4frMfCdKkarVlO/o3vo7YOihKpboc3BJkiTN\nFgs9SZI0yzJzNCL+mDJA8gfALZQGpCkHfWTmnRFxUH27jlJh/Ccb9WThR/VYyygziOwdEbtk5s8H\naIC6gfENc1sDO8BgFcnr8dZGxPeAIymNhUFp4NyWWWzo2xBzfXxJ0sZjhi+sDI+IgNorxtnOJGnB\nMr8XRn7XcxmmFK1I81uSFr7a4fKtwK7ANymFkG6uAxan2u66iNih5+P1ZsCeZd+mdHBtrIiIR2fm\nxQPk5Y+AeynZDaXg054wbYYPUX4/fISxIlEAF2XmZ/o8/4ec7eiStDB5D973PXhQ7m//ANiLsWKP\n/5qZ353JxWwMtqFL0uJhhpvhkqTuMb8XRn77HFySFh8zfGZ92aZS+xYsBbasHw0BaykFn6Dk7EPC\n5+CSJEmaLUNzfQKSJM03EXF4RLwtIs6PiGPrZ8PTbdfj9Mz8fGZekZl3TNcoF0UzczmUhqZ7gZXN\n8gGP369bgUvr3+uAzYCj6/spfye0GqhuAu5pLdqO8uBsUM3xzgVWtfZxMLBjc8z6XW0aEbvVf6tl\nMziWJGkBMsPN8LamZ8zGPIYkacOZ3+Z3IzPXZeao+S1J3RARL4+I0yLi3tpRldq5chDvz8w3Z+bX\nMvPa6Yo81VzaktLJtG3rZvmAx+/XVcADPZ+9qr5OObFSK9cuZayjKZQsnjL/a+fZdRHxUuAxrUVr\ngePqOhN+5/W72jYiDouIp011HEnS4uE9+Ma/B6/5PRoRjwZeUj9eSpmp/d/qOhN+56178F0jYt+p\njjMbbEOXpO4ww83wNjNckrrB/Da/Gz4Hl6RuMcPnrC/bdH4ZeCawhpL39wL/3XMukiRJUmdM2fFU\nkqSFqmnoqoMWNwUOB15BedCzsrXqscC3Bt3/oA1F9TweydiM3EsoVc1vnMn+BnAbcA5lIGczOOY5\nwIn97qBWjr+X0pg4Sjn3zWZwLs01nkepWt9UW98XODAibgB2Ax4JPLb+9wTg6cBpMzieJKmDzPAH\nmeGSpM4wvx9kfkuSOqUnw7cFXga8Edi/Z9UXAMcPuv8ZZvizGN+pdA1w+Uz2N4CrgKuBA1ufPY8y\nQ3hfMvO6iOgtFrXlhCuPbdNcz18A7c7D52bmSREx3O4UHBGbA7sChwBPBI6iZPtQRByZmZfUgS92\ndJWkBcx78AfNyT1463peQ7mvHqFc+2cz80cRMZSZ65r1I2I5sAUlw5t78COA4Yj4lcy8yfyWpMXB\nDH+QGS5J6gzz+0HmtySpU8zwB82nvmwPqv8+Q8Bo/W6OBP60Lm4mKfxIZt6+IceRJEmS5pKFniRJ\ni1LT0BURu1Nm3n4R8Ki6eITSyLSMWo28/aBntrUeCt1PGSDTPGjaHvjxxjouQGY+EBHfBH6bsYEi\nz6jLpr3mOpBkHWVQaFAG1awAHt6zvJ9zGa2v10TET4B9KP8OmwKvA15J+TfasWfTo3GQqSQtGmZ4\nYYZLkrrE/C7Mb0lS17Qy/HHAuyhF/zaZYNWD6/pTzkS6IVoZfhdjnTeh5PjXN9ZxATLzrog4hfGF\nnvasy6a95ohYWte7o9mu2q9n+UTb/hZjv5sAVgO/Vf9eFhE7UAakHAk8CTgI2JbxxbCSUozrEkr/\ngI327yRJmnvegxdzeQ8eEUdQ7qvXUa73R8AH6uLhiNiCcr+9L3AY8Hjg0Yy/B78deAzwFUqub7R/\nJ0nS/GCGF2a4JKlLzO/C/JYkdY0ZXsxxhg9TCzm13mdmNp+tq58/E/g7Slavo2T1JcA/z+iiJUmS\npHnCQk+SpEWnNgA9mjL7+EuBneuipgGpyccEDoqIHTPz5o01S0drn5tTBmksr8f+CbANpUr6rIiI\n5Zm5uufjc4C7KbOUjADbRcSxmdlP5fnm3K+ur0so32Mz0GZ0vS0mPq8hymDSHYGtqNXX62sCT55i\n88f0cwxJUveZ4Wa4JKl7zG/zW5LUTRGxlJLdf0DJ8qEpVt8iIg6sM2Rv7AzfoWfRKmBv4KrZOlZE\nbJ6Z9/R8/Gngz8avFn+cmcf3scsmo6+ifJeNZkbWtZOcx1LgrT0fnwGsjIg/phR2egzl99VSJhfA\nUbBxi3FJkuae9+Bzfw9e/w3eSJmxfF3dz2coBRqPpQwWOoIyQ/xeUxx/G+AQ4CsbcxCRJGl+MMPN\ncElS95jf5rckqZvM8HmR4Ssz875xO2plcETsDzwF+A3gia19DQM/B/4kM6/r4/wkSZKkectCT5Kk\nxego4EPUWcYpjUvBWAXypnFsLWXA4xOBL7DxZ+k4hLHq60OU6uv3TbnFNOpAkM2BnSizgx8dEe/L\nzBvrwM7MzJsi4gzglxmb0eQlEXFuZq6aav+ZOVobOpfXj5ZSGtCurcunbMiMiO0os6Q8kjJLyuPq\n38so33/zfbSNAGcBJwNfy8zLpvseJEkLhhluhkuSusf8Nr8lSd30euDvgU36WDcoM53+KeX588Ys\nJnRMz/tbgFs3ZIcRsYLSgfdAym+XX4qI12Tm91uC88YdAAAgAElEQVQziV4SETdRcr7x2oj4VGZO\n2bk2M9fV3wm93+VP6vLJMvwPqbOdthwCfJsycGU6d9R1P56ZX+1jfUlS93kPPvf34McAL6h/D1Nm\nYX888CuUwUPt++7m36fRvgf/amZePuWXIElaSMxwM1yS1D3mt/ktSeomM3wOMzwi9gF+KyJGKQWm\nbqA8196TMsnRI4Dd6jm3s3wI+DLwlxtzAipJkiTpoWKhJ0nSYrSSUtkcSkPYMKUh6WTgc8Argdcx\nVj38qZSGuY0iIoZr9fGllMEZD1AGfGySmQ+0lve1L8r1bUeZxfzRlIdWhwG7Uxogfwp8gNLQlZTG\nuBOA5zHWEPY0SgPmqdMdsw5SeUx9u4YyQPRn9XwmbTyLiJWU7/nvGP/wrNH+nfID4CvAKZl59nTn\nJElasMxwM1yS1D3mt/ktSeqmrVi/AOBa4IfARylFiB7ZWvYsSqGnjSIilmbmCGOzfzaWZuZdreV9\n7QvYAdiHMpv30cChwI6MdeD9W8oAkSWU3ykjwKeBP2ntal/gNcD7pjtmZo5ExME9H19Zz2e9DI+I\nLYHfmWBXO03wWeMB4LvACZn5senOSZK0IHkPPof34BGxCfAKYAVjg4GWUwbITHhZeA8uSSrMcDNc\nktQ95rf5LUnqJjN8bvuy3VnP5dfrsddQ8vzBXbJ+37YfA5+hPAe/JiKGMnMUSZIkqcMs9CRJ6oyI\nWE4ZaLE9pUFnC+CGzLy6z+2bRqJrgKuAXeuiLwL/CZyamfe1Bls0AzqeAKUBalYupEdrv8tar+uA\nm/s9bkRsCxwE7A8cCTy2/j3cWm0tJftfSmmYy9a+vwWcTak2D6Ua+qsj4ozMXDvFcZtGw63rR0so\njXJ31nOfqkL6mnqdEw0wvR74BqWx9FuZeU/PcYfq/m2ck6QOMMMnZ4ZLkuYr83ty5rckaT6LiM2B\nAykdN9dSsvxHmXl6n9s3GX4RcA+l4BOUzPkP4AOZeWtEHM34Qk97QyloNCsX0qO13+U9i+7o97h1\ndtBnU7L7CEoH0t79NZ5WX0db+/4wpVPvlvX9EuANEfFPmbl6iuM2RahWtj5eB9xUz32iDN+M8u83\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sSI/I4dOxrudu4iWVlZdmEAK1as8Dx16pQbYAkCO3DgQEZeXt7N5OTktLy8vJsJCQmZ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TErNaSC1bSHL+HBLNTYTmRhLNjSRaGglNDYXbp/ubGs6Ml/WFdL0n+0uSpGklxsjQlh303bOZ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4zRXxTB+lvBTy4hUDVRhotAH0H4s5MUCiSdFnRacH+JVKm568FUZouzTv70sk42mTEnncSc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\nes/r7Oxs3HfffX7tPyUlBTNnzuyy3bx58xAdHY1jx44BANasWeNTM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UK+tR2c+/efPmCWE/Y8aM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/LXrbWLJIUCYIPbUxv617OXbejq4ACw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\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EispxbMy8ZHfjjNd762Loe3drfkYi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\nNECPHj3Qrl07REZGwmQy4fDhw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DBmzJgSQ54AoE6dOpg5c6b0PSI/Px8///yzPk9FJ0ePHpWFPFWpUgVz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\n8+fPw8fHBxcvXpSOOTo6ygJyqGTbtm3DkSNHtF5L4+Pj0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TJk3YsGFDvgCTHTt28PTTT6shMP7+/pw/f56IiAiXY9/va//l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OIYun1wSZJmxHydB98WuHu9T5N84pwZvqckSfPebM2Dj3Lv\npl/+ADp98LMyc4jOXsFTgT+1jt8T2GtSH1aSpEWox/1k5092P9lkuRZdkiRp8TPRkyRJ6lutJExH\nUCau1tXnXwY+HsVg6zyAOzPzPfWcta3XXwU8sF63/Rur+XsVpWJKM6i2Xz33UEpm9efQqagCpVrK\njU1TKRN5d1Iqk/88Ih4z4Q8sSdLiMUQnpjZ/XwR8iLIB5Pn12CAlhh4cEStnIlFi/b2wWUTcMyJe\nAvw38ALKb4BVwFsy81vTfV9JkhaCVv/4dkpsbDZ93gy8HXh5Zv4oM9dGxEC7D16rjH4ReD2ljxyU\nuL8LZVEsXf31duXw8+vjEkpfes/mlB7aHJl5PfDb2uZmw+rDazV1SZL6SivePo9SKbRxQWY+q/aL\nl3bF5Vsy8zHApV2Xexzw4nrdCcfVeq9tI+IxEfE54IfAPvVwUpI8vWWi15UkaREaawz93pS4DlMY\nQ7cPLknSjJg38+BdbqDE+GYj6+aUcX5JkvrSbM+Dj3D/qIkp9qesgYeS0OnoemwIIDPPp4zTJyWG\nbwnsP50FGSRJWqjG2k+WmR+bxH6yw+t1J7xn37XokiRJ/cdET5IkqW9lZtZBtGYh6wBlcO6TzQKY\nzFzftRim+f30b8AJ9e87gT2AV9T33JUhvVU1vNnQspQyYbZ9RGxNybK+Sz12FfCZ2p6/Bv6m/v2L\nenwT4A5KQqh/iYhHweQGAiVJWuBuAH5f/14KfBd4M/DezDyvHr+MshBmPbA9U5hAG0lEbB8RBwPP\nAt4NfBH4v8CDKb8n1gBHA9dHxKMjYovWe3utZC5J0oLW6h//BvgDZfPJN4EH1qqlNzdxMTOH233w\npj+dmV8Cvl+v0/Sxn1YfN4qpEbGMTuLkAcpvhW3rtXrZ7NL8Vmju2bznwZR+uSRJfaWOow8Cj+86\n9J7WOUNdcbapVvpq4Pqu199Y37OeHkXEvSLiWcCHKcmdjgZeSNmU0rgQuCwi3hQRO7feax9cktSP\nxhpDP5dpGkO3Dy5J0rSb83nwUewH/LH+PQCcCWw1g/eTJGlem4t58K77N/3ng4GtKf3pc4A/Nsda\nvw3OoJNYGeAgat9dkqR+NtZ+stY5U9pPNh7XokuSJPUvkwJIkqR+txWwQ/27WYhyFYy8+LQ1wXY+\n8Kn6clNN9FER8YBR7rOMkkl9gDIBtx3wJjqVVP4IvBd4B/DVzDwhM7+dmf8NPAl4A6WayqaUCbnD\ngX9smjWxjyxJ0sJW4/EplE2lh2bm0zLzmMxsNpT8ATit/t1MmD2qPk7XxNYbgF8CX6FUWLs/JRkj\nlI2rSyiJG48HfgAcFxGvqu03dkuS+katGLqK0t/+HvDOzLywOT5WXGwtSPlmfWzmNB7SvL37PZm5\nllIx7U5K3B8EtoqIbXpscnPN45tm1Mf7ASt6vIYkSYvNHkC7wvdtlNg+2jh6Uy38+3TG0Rt71iqk\nE/E54GvAa4FDgM1HOGdf4IPA+4DzIuJ/RmufJEmL3STH0B9ZH3seQ7cPLknS9Jon8+B3aY3R70FJ\nCNEkifhzZl7uplJJUj+b7Xnwrvc369Zf1LwEfD0z146Q/PEUyph+8/q9gV3Hur4kSX1kK0oSZejs\nJ7saJrWf7DERcfgE7+9adEmSpD5loidJktSXWpNkf8GGC1Euz8zrW5Ngo8rM44DTKYNnSRnge1pE\njLTJZD1wTev5bpSM7cuB1cBrM/OTmXldk8E9IgYiYiAzVwMfA97ZNJ+yWOdREXF/B+gkSX3qV8C7\nM/M30Imb9dif63HojH38BXQm2SardY9bKRXF13Wd8mfgcsrEXVNxfH29/1ER8ZGIWI4kSf2j6X//\nO/DczPz9WCe3tfq759fHTSj94e0iYqvu/nCrr38dJdlyYy9gp65zRrtnsznmVEpcX1rvuQcueJUk\n9ZlW3HwJZRy8cXNmnh0RS8e7Rma+g7KJ5K7LAn8TETv2cP9mnP7WMU7r7pcDrASeGRFntquaSpLU\nZyY6hv5Q6H0M3T64JEkzZk7mwcdxOyVON2PyS+s9XbMmSepnszYPPsL710fEvSn9ZyjFhs+px5q+\ndnON04HrW2/fC9jnrg8RMThCcihJkha1rv1k29HZT3ZFZv5hkvvJtgOeOsp+su77uxZdkiSpzzkY\nI0mS+lUzMLeKDauBbgrjL35pDax9s16jud4jgP2bc1oDgH+gZnanTMbtBGxZ//5VZn49Ipa0F7tm\n5nAz4VYroP87tUo6nYHEp0dEk7FdkqS+kZl31GrhzfN23FwP/JYSL5dQ4u1+EbErjL+5ZJz7Noth\nmgrj64GfAv8IPAg4FHgu8CTgbZTfAM0kXgCvBl7lBJskqV+04vNvM3NVLwthRrAVcG39ewC4DNhh\njPPPB25pPd8b2KW2Y9yNJzXp8u3A2fWl5jfHwfW4VcolSf2iGQe/oev1ZkPnEGNoxf2fs2EF8vsA\nj+86ZyOtcfqvtV6+GTgO+BvgscArKUUSfkTp/7cdBHzZZE+SpH40i2Po9sElSZpGczUPPkpbsl5z\n93qvZfXQORGxbPR3SpK0+M3RPHg73u9LJ2HT1Zl5Utca9KyPV1P67sP133LgoIhYWY+vb62HkySp\nX4y2n2wTmNB+sqMZYz/ZaO93LbokSZKWjH+KJEnSzIqIPYElmXnxbN2zNTC2gjJx1VQe/0NEbFYX\nk/bip8BTgcPr872BB1CqjrYXr15LpyJKM4g3TJmY+3R9vn60xa4RMZiZayPiC5RFrc3vuIcBewLn\n9theSZKmzVzE8Am4jBIfD6JMgG1BqWTyVUr8nWpF01Mp8f+0MTarfDcivgu8izLZtp5SXeUlwMXA\nd6bYBkmSJmyu4/dEqorXzZ7DlEqkW1Oqly2hbCC9fIRrNzH5AuDG1qFdgL0j4oQeF6kOUPrsvwAe\nSCcxxaHAZyn9eiuVS5JmVN2QsQNwL2A/SvzZl7KI89PA7Zl5x0y2oRW3t+o6dEtEbJuZN3a/ZxRf\nBx5C6ZsDbAYcCXy+x/d/jhKbvzBWwoiIeAbwEUqhhcZjgTdRFsBKkjSjavxeQYnhO1Pi9y6URIUn\nAUPjJUqcRVMaQ7cPLklaTPophk9ERERN9nRgvfZaSrKnK+o6toEe470kSdNuvsXvmZwH77pP00d+\nfuvlb3Uda+4zWNv1G+BxdJI23gMYiIgVlLH6RwBnZOZnev0MkiRNVo3hmwO7UpIWbgNsB2wPnAOc\nDlzaToI83aZxP9mJwFMYZT9ZD1yLLkmS1KdM9CRJkmZdRGwOPAZ4MnAEZYDuYxHxlsz88yw3Zxdg\nNZ2NKkmnSvmoWgN75wGnUQbXElhJWYD60fZClsy8IyIuBW6nbGJpKqMMUCYVx9Nc64fAlZRKaVA2\n+OyCiZ4kSbNgnsXw8dxEmQA7iM4mkEdSFrhOWZ1QOxXKohjKYqG7kjY2C2Uy86yIeDNl8m7/+va9\nKZNtTq5JkmbcAovf3ZoYvhLYlFKlHODmsRbzZObqiLgAuD+l3z0AHAJsC9ww7k0z19U/z6qPzWKe\nXepxN65IkmZM3VjxPOCZlPHfrSgVttsFBP4NOD8iPgJ8OjPXN5svZ6hZe9OpDkr9e9y1Bq2NLT8G\nLqEUMaBe57Cuc8a6TlKTQkXEUurm0lYffGlmDmXmNyLidkrl1KZ66XLgrzDRkyRpBkXEMkpsexRw\nP8pGzT0o/VkoiRqXA9+MiC8Cv8rM4RmO3+OZljF0++CSpIWsn2N4j5qEi2vq8+Z+m3Q9lyRp1izQ\n+N1tUvPgjYjYATiw9dLP6uvNGP4AJY43fervAK+kUyThCOAMSqHhxlcAEz1JkmZMRGxKmS9+NGUM\neW9gNzrFgqDExKXAsRHxqcz8Xn3vTCUanup+svPpYT/ZGNdxLbokSVKfGvdHpyRJ0mRFMdB6vndE\nvB44GfgmpZrIrvXw7pQs7O2JpplsW9OumygDgc1mkrsDd/Z6ncy8lVLp5DbKoNogcHBE7FPv0/4O\nTgOuqX8PUzbCXE1n8ctY98n6eD4l0VNzjS3ofIeSJE2L+RzDJ+AO4JT692B9fBBMrIJaL+ok2rr2\nYqCue1wAfIHO741lwEERsf10tkOS1N8WSfzeQCu2vqg+Np/vs6O9p/Ud/IJS8bR5fjClzz+Rz3wT\nneqpUKqarhzjfEmSJq3G8r8HzgY+RqmgvRNl/Lgdu5oNGvsBnwBOjogVmZnTHdfrYlKAP3a1YQdK\nnO1JZl5DGR9v2ykijqj36bndNaHTmq4+eLsq+w+A47vetmtE3KvXe0iS1Ksav48A/gv4OvAOysaK\nA+lsMF0H7AhsDbyUEqveGxHLZiJ+T8CUx9Dtg0uSFqp+j+G9qkkxVlISOEJJmnE7cHE9Pl+SZUiS\n+sACj98bmMw8OGzQx34iJbkVwK8ohSGWNtdurWUbjoh9gacBmze3B7akJHlqx/IDI2LnSX4kSZJG\nVWP4kymFfb4J/Aslhu/Phkme1lPGh4fq8a9FxAdg+gsCtMa2b2Zq+8lWs/F+soPa+8kmcC3XokuS\nJPUREz1JkqQZUyeLhgEi4inAh4C3AvehDL41/6BMtO3evG82mlcfzwdW0Klact/W32NqDbqdA1zU\nOrRDvQ50Kps1553bdZktmvuN97lbg4kX1sfmu9uzqz2SJE3JPI/hPantP5tSaWWQMrF194g4AGY3\nbta2nAZc0Xp5K+Ces9UGSdLitxji90gi4jA6lcgGgUuA34/xlubz/JoNY+8+lMquE/nMmwB/aj1f\nDVYolyRNv4h4LXAV8EHK4tHR5vFHikMPoMbGGYjrzVj5z7pe35qyYWZcrf73zyibQRvLKAt0YRrX\nLdTFrsfT+d3T3Ovh03UPSZIAIuJhwDcocee5QLMZcj0l5iVlQ8gqypzxUD22AngjZVPLnPXLp2kM\n3T64JGnB6TGGr2Fxx/CJ3G8VcEh9uh7YjLp2zbVqkqTZstD74COZxDw4NVnVALXPXf0+M2+oRRIy\nInaNiBdHxDERcTNwHiUpVpPoqb2uPSjr6L8OHEVJKClJ0rSoMenvKH3YbwHPoMTwpMw130pJkHQz\ncBalGEBQEi+to8SuV9diSdOtiYXnsuF+svsxuf1kF7YO7VivAxsWU5oS16JLkiQtLiZ6kiRJMyYi\nVkbE6yPid8AxlE0b21AGxZbWf01Fzt2Be87WApDWZN0FlImpZjBwG2Dv2v4x29K6xjV0JtcS2BS4\nd+u05ryrKQNrSfnc6ylVZLbv8XO3BwKhM4C4d9dxSZKmZD7H8Am6ijL5ByVuLqezsXNWxkRa38v1\nlN8CjeWUjbGSJE2LRRS/AYiIphL58ykxc019fmxmXj5a21t98AuB39JZmLMSeHREbNXDvZtrJ2VB\nTJMoYmVmrm61TZKkKYmIHSPi28D7gV26DidlY8fHKdW57w68GzhphEvtEREfne4Y1YqrP+46FMDD\nYELj6L+j9I3b12gKJkxLBdZWWy5iw6RSA3Q2/kiSNCURsXndWPIx4Cldh28EvgK8nDJfvAvwIuDf\ngLWUjZvUv58dEc9pFfuZC1MaQ7cPLklaSCYYw+/GIo7hvYpiGZ2kD0nZiLvldN1DkqSxLLI+ODD5\nefCWFcAz6Yyr/29EPDkiPh0RlwNXAp+hfF8rR3h/UsbnrwD+Fng88Ergi5l5y+Q+lSRJG4qI5cBf\nUea3uxMRXQ18kRKHDsnMbYEjgL8E3kxJ3LiEEuuWAa+NiAPrdacllneNbbf3k20N7FXvNZH9ZOc2\nL1P2kx3Qej5lrkWXJElafOZ8kEqSJC1qCbyBMkjVru4dwG8oiz2H678ADmLkSaUZERGRmUOU5Eu0\n2nhEfez1t9JNwMWt55sAe0XE0nb1l5pB/cTWuc39DqNUOxtTrUQOncUzy+s1VreuL0nSdJjXMXwC\nbgFO6XqtifOzUqGt9VvgT8AOrfvuBFw+G22QJPWNxRK/m/76+lqB/Kn15eWUxSpfhrGrrTbvB04A\nrm0dehDwwHpOLxtFb6D08ZvFMgP13utHfYckSRPzGuDJlDjX+DPwVUpyg30y81WZ+d3MvDwz35GZ\nfwH8PWVjZdvzgGfD+ItOJ6LG1TsoC2rbXlwfl9CbS9m4H7x7RGw6XVXUW9e5hLKAtjFI+S0kSdJ0\nOAL4ALA/pZ84DJwKvArYNTNfkJn/nZnnZebNmXlcZr6NEvN/Va/RxKxXUBMfzlEy5pHG0B9ZH3uK\nz/bBJUkLyGKP4dM+D1772fembKyFMgZwVf035ji9JEnTZDHF79tOXT8AACAASURBVCnPg1eHUpJD\nNWvcvwd8C3gJpeBTt1XAT+v1b6TT714BXJmZV2TmTfa/JUnTLCmxZgWlL3kL8B3g6cA+mfk3mfmV\nzLywnn9LZp6cme8HXg9cRol1Q5T41sTNaU1uPMp+smaMfFr3k02Fa9ElSZIWHxM9SZKkUU0l23kd\n9FoN/IEyKbSEMll0HPD8zDwUOAq4k86k0YHAjs37p9D0nrQGu37ZNLs+PmyC11lLGUi8pV4jKINn\ndxvh9FOB79a/m8RMD6Fmfe9RM3A4TPlefwFzN/EoSZp/FnsM71VmrqHEXuhUaTssIpbNQYLEIWB7\nync2VNuzdpbbIEmax4zfHa3++rMplVebRaXHZOZvJnCpXwA/r3+vBbYDXljvMepC1db9D6b0vZvf\nET+cwL0lSX2ix8QFo7mazjgxwM3A24EXZOatETEYEUubWB1VZh4F/Dsbbt7cko0rmk9ZKy7+vuvQ\nQyZ4nduAi9i4zfedfOtG1VRdbbt9Bu4jSVqgplj1+0bgj82lgJ8BbwH+X2auiYiBGsO74/eJlOrl\nN9JJ8ngANRnSXBhlDP3QSY6h2weXJM04Y3gxG/PgrXmDNcC9KHPcUApIXD4d95Ak9Qfjd8dU5sFb\nsflPQJMU484RTh0CzgI+DbwUeDzwHOC1wPmUMfqk9Nv3jYhlI1xDkqQpxfC6x+qc+vQq4F3AqzLz\nmMwc6o7hmZkR0RQY+gbwxfp308d9ctfzKZuj/WRT5Vp0SZKkRaLX6pqSJKlPRMRmwD2BwynVtLcB\ndgbOoyQoOjMzuyuFj2SQktH858D9KJNDnwO+TWexx0WUwawV9fm9gD2BC2a54ldTybv5bXR/6K06\naJ0QTEo1lZuAreqhLYHNus+vlVi+CPwdnWpn+wNHAmf3cL+VlO8JyuDcndTKqFZJk6T+VmP4PSgL\nUmY7hu/L3MTwXpwPXEf5LtZRJs4OA06OiIGZTvgUEYP1N8VzKb8P1lM2m/6EkoxDktTH+rQP3pOI\nuAfwsvp0kBI3P1yPjRnDm8+TmddGxFcoC1ebxThPjIiHZ+ZPx7j30lqx7QhKwYw1lAXAV9TjMR+/\nM0nS7ImIbSlx4qnAnhGxFbANJe5+GfjfzLyuh0v9hpKUaAVwbGY+uX2w9ifXt563488ngedR+uRQ\nYt1BEbGiJlWabqcAD2o9v1tt09DIp3e0YucVlN8sTRKm5cDW09XAVgx/P53YD2XsvjtRlSSpz0xj\nH/zK+m8H4I2Z+cH2we7+alf8/jnwLeAllE2V2wD3rUkZ5mozxpTG0O2DS5Jm2jTOgxvDJ6D1+ZfQ\nmeMGuIayPu7mqVxfkrS42Qcf3WTnwVuf7RrK3P9DgU3qa5cAZwC/Bs6kJJv4E3B7+3oRcSbwAEr/\nOyhJl7eik0xLktTnpqMP3hrT/T3wYuDEzLyifc5I8S4z19XH2yLiu8A7KHuuEthlBufBZ20/2WS5\nFl2SJGnxMdGTJEm6S0Q8iDKh9WBgdzoTQABPAP4R+HlEvB/4QWYOj7Gwshl4+xTwm8z88gjnnEnZ\n+NJkKt8e2C8iftLL5pBpdD5lUG0bysKXvSLikMw8YwILX66mLDpt7EqnktkGMvPMmuzp2ZRJuuXA\n6yLie5n5O+gM+NUM9QNA1IHLlwP71WsvBU4ATnKBqyT1t3kQw3dgbmJ4L66jbJw9kvLZlgCPBE5m\nw02f06r5fmuSx92BF1Bi91pK/D8xM1fP1P0lSfPfPIjfc9UH79VrKG1sNnh+PjMvbG0A7Ulmfjci\nfkVZsJrApsC7I+JFmXlxu99f++CDtXLc/ShJs6j3P5fym8JEy5LU5yLiZcAbKAkTuytd70TZuPKe\niPgQ8J7aLxwthl9C2WyyjJK0iV5jXWbeGBFn0Un0BLAFJZnjGRP7VD05GXg9nb700oh4XmZ+qbWw\ndDznsGGV1U3ZcFx9Ulp98KGIOJwyBtB2RmZeM9X7SJIWrmnug98IHA0cC3ysXr+nWJiZt9dNlasp\nmzGgzFFvT9moORembQzdPrgkaboZw8c0W/Pg96cUItyUsobtPKCXxBySpD5l/B7XlObBM/OmiDiF\nknTjDOB04EJKsqZbmyQZbRGxpL5+CmUuYot66D6U9QMmepIkTVsMbz2/PDMvbl1/InuerqcUA9ij\nPr+OMhd/yQQ/Vi9G2k92aGaePsX9ZBvF5IlyLbokSdLiNTDXDZAkSXMvIlZGxCeAk4AXUaqobNJ9\nGmXg6aHA14F/h9EXVjaDWZl5AfCVep/BiBiof0dmrgHOomQTb65zENNYwbtHl1GqmEBnMK3ZCDLm\n76XW57+IMmCWlMUzu7DhhhXgrgWrAB+iTK5BWQyzI/DeiHhg+7rNoFxmrouIpwBvpgzIDdT3fbke\nd4GrJPUhY3hPbgV+Vf9u4vDD6uOEq5i2YvlIxwaa76n5fiPiYZQFR4dSYvcyykTjhyd6b0nS4mD8\nHl9EHEZZmLKOsrj1EuCo+jl6TvLUfH7gg5TFrUFZ6PJg4B0RsVez6Aju6oOvi4htgXcDd6/nA/wy\nM6+cho8nSVqgImK3iDiHkljxnmyc5KltJfBOan90jPHbm4A3ZeajMnNVPXfcWNfqm3ZX59yEsvFl\nJpxMqQDe9sL6OGaBqdbnP5ENx9wHGaVgAozbBx+MiMH29SPitZTiCCtapw5RKptKkvrQTPTBgTuA\nL2TmuzPzznpuT5W9659NrG7Gp1cCt/f0gWbGrcAv69+THkO3Dy5Jmk7G8J5M6zx4t6bPTVkPt4JO\nnN6kxnD3IEiSNmD8Ht90zYMDXwOeD/xbZh6bmRdk5s0jJXmqmu/sVOAGOr8d7gHsNdHPIUlaXGYo\nhtMdlya452kHSvxu3nMNcPlY88dTMNJ+sifUx173k13MxvvJRv3N4lp0SZIkOckiSVKfi4hNgbdT\nBuTaA0l/oCwGORo4nvK7YTll0cZmwN9GxHt7uUdrw+n6Vjbz5nfIKZRJs2ag6j6UKiOzJjP/DPy4\n6+Wn1mPjZlGvWdrXUqq+BGVwb5iShX2DQbhWAqffURa5rqIMgg4Djwe+GhGvi4iD63v3jIhnRsT/\nAN8AtqqXGgS+mJlfntSHliQteMbw3tRFME1yxWYS7cCI2GYyiRLHmZQczk418r0j4q3AJyiVyJMS\n8/8IPCczb5vovSVJC5/xe3wRsQR4JaWKaLOR5JOZecNEY3fr8x8DfLz+3VzzucA3I+IZlMVBRMQe\nEfEi4NvA4yj/R8soyZ3fPrlPJElaDCJia0o8OaDr0DBlY+XVjJxg6bCI+OUIrwN3JTg4exJNamL7\nZV2vr8jMGVngmpnXU5I9tTWFC9Zs/I4N1Srrt7JxYqf71OMbtXmcPvj6ZkNPRDwiIn4E/Aflt1Nj\nGHhJZt4wXvskSYvPTPXBa/zuTrbYU5Na99+SzoaRu2XmzTO0QWVcdQz9jPp00mPo9sElSdPFGN6b\n6Z4HH+H6zXffJHdeRvn/uLYen3IyKUnS4mH87qFB0zsPfltm3tTL2Hw9v1m7fhElEcU6SrKOzYF7\n1/8/SVIfmo21bBNsT1NsaTdKcYAmhp9d54en3N/tNk37ydZQ1g00+8nWM8J+stY9XYsuSZLU58as\nrClJkhavuqliPWUA6rV0Jo2uBT4CfCMzL6vnbgvsDXwSOLietxx4U0ScAXyrlwGsLs1ij1MpVcC3\nrM+b6iBnTfhDjaFOkK0AdgK2ysxf1wG1ph3fBz5EWZSSwMERcWhmnj7yFTtq5dHlwBWUwbNlwOXU\n73SMQbjvAH8DfIXyuywpmduPomSb34KyECcoE3uNYeA/gX+qn639OSRJi5wxfKMY3otLKJtD7kGZ\nPNsWeBBwXOv77LU9+1E29p4I7EhJ2ngDsDWlUsph9dqH0knQmPW+pwLvzMzTjd+S1F+M3xOK34dS\nNoA2zgU+O5X2ZGZGxGeBuwFvpiyoGQQOBP4HOCcitqqvbU+njz4InAe8LjP/YPyWpP4TEUvrxsl3\nAYe0Dq0Hfgi8LzN/Uc/dB3gIJbFBe1PEAyPiA8Bbe910MZ5WP7Y7YePNEbFisgs66zj3DpR+790y\n87Nd/eZPURe1VptGxPMy80u9tLmOed9CJxnTOsoY+Ijj6BFxJPAIyu+i/Si/nc4H9gSeATwcuDew\nDZ2NO43VlGrmX5po31+StLDNgz74iFr9yW3qYzMvfWFELKuFhSZsvo2h2weXJE2WMXxuY/gY7keZ\nY2ji9WQSVkuSFinj99zOg09Eq52nA4+ls5/wvpQ16nfMVlskSXNvHsfwtRGxJfCO+tJSyj6t903l\nurO0n+xySlwddz+Za9ElSZJkoidJkvpU3VSxOWUAbJAy4DMIfDAzj2rOi4glmXkjcGNEPB74L+AJ\nlEEigH+kVCo/cSILRFrVQS6MiIsp2daTMll074j4fmbeOdnPFxEDlM0021I2fRwEPAC4P7B3nahr\nqn1HZl4QEacAh1Mqii8FnhERF2fmLT3cchtKkqbG5oy/sGU4M4+OiFcCb63tHKR8D3uw8cYUKAOn\nnwc+kZm3gxXSJKnfGMM7MXwC/kiZ2LoHnUQXjwKOm0QTtwf+nfK5L6B8h3tSNtcmZdPKEkr1mkYA\nJwDvycyTwPgtSf3G+D1+/K598wT+mRJL11AWBR2VparqlBam1D70P9WFNX9b7xGUMYB7j9QkygbT\nt2fm8fUaxm9J6jOZORQROwIv6zp0XGbelfAoIpZn5sXAxRFxGvATSsKkxiuAa4CjWsmjJq31O+CZ\nXYdOyszbWnF13OtQxrb3piwSfRglodWuwNKI+FLT1nrNH0TErWxYmOBVEfHzzLyih6bvRSfhJJTf\nQ98d4/y7A68D3kCpDnsnZQHu4BjvgZLY8u2Z+QnYIDGWJKkPzHUffDStfu3T60tNv/f4unml1/g9\n38fQ7YNLkibFGD73Mbyrvc13txVl7ns1rT69SZUlSWD8ng/z4BPQrEk/HfgNcArwPeCEnKYiFZKk\nhWM+xvCIWAk8GHgLJeZCGTd+eWaunsj1F8B+MteiS5Ik9TkTPUmS1N8eT0ko1FTc+gbwf6EzydVk\nVq+DYtdHxLspCzgeRFkgcihlo8WJdBaM9KQ1OXUGpfJ289vkIGA74OoJXm9TYCVlE8r+dAbiDgA2\n6Tr9odTBxPp8PfBlysLSzetrTwROBr7Tw0TanZSK4lC+h5soA3yjam20/a+IOBl4IfACSgb3retp\nt1M2AF0A/Bz4bmaeN9Z1JUl9wRg+sQnB2ymLU55LZ9LrIfVxopNclwNXUibX7smGiRmDEsehVDm7\nGPgF8PleqrpIkhY94/co8btZ3BoRT6N8T3fWa5xa+8zTsZg3snhDRPwQeDVl4VHbHZQ++LmURa1f\nykwrl0qS/pFOXw/gKurmkCZGNZsgahKn30fEW4Cj6GyAXFGvcxRlUeaU1IW3h7BhMqkEfl2Pj7pB\nJSK2psTvgyl94wdREjBtNsLpr6Ymp6rPhygx8lmtcw4GXgq8rYeYvYrO+HtzvbFi7enAnym/h5ax\n4f9DtzuBi4D/yMwvjXGeJKk/zGkffCRZqnrvQhlXhhLXbqT0QceL3wtpDN0+uCRpKozhcxjD21qb\nfpvPtyVlTGNVc3wq15ckLSrG7zmcB+9V6z7fycxvz8Y9JUnz3pyvZaPMUW8L7As8gjKOfJ/apuuA\nd7WSGq0fK3YusP1kl+NadEmSpL5moidJkvpQa5DpoZSqIM3E0U/r5NZGFcVbg2GnA+8DvtM6/OSI\nuF9m/maSTfoVZbPGNvX5AZTBtQltMgVeBTwN2IeS4XwshwAn1sG+ZlDsh/X9j6QMDO5br/kdOotW\nRvNYymDaMGXhzA8yc1WvDc/M84E3R8Q7KZXVtqcsjElKRbTLgasyc03T3l6qyUiSFhdjONCK4b1e\nvMb7M+lURBsG9o2IPTPz8ua8GmM3oUzS3Z6Zt41wuVsoFWIeRvnsW9TXh+hMvF0GnElJpHFRZt5k\n/Jak/mX8BsaJ33Vx66bA2ylxenk99OZ6fNS4X2PsppT5jltHi7Xt1zPzRxHxC2DH+hmWALdSfitc\nR0kScWVmDs1iBVVJ0jzTWiT6qK5DJ9V+5qbdyQhaMf1LlEWxb28d3iki/jozvzLFdjXVv5/NhsmZ\n7sjM/+hhY8gXKX3aFWxYAXQkR1Cqig+1xtE/BTyazm+J5cArgLcx/uLd13c9Pzczrxrj/KsoCSC2\nGuHYECV+/xE4C/gR5ffVpfbBJal/zcM+eNOuJn4fTukjN2PVl2fm8T30PRfSGLp9cEnShBnDgXkQ\nw0ewJWV84yfAd4HvZeYFvbZPkrS4Gb+BeTAPPlHNdWpii2HH0SWp/8yHGB4RewBHUtatHV4fm+RG\nzZ6sm4HHRMSzgW8DP8zM68a47ELaT+ZadEmSpD5noidJkvpQHXxbCdytvrQJZTPEL+vxUTOH1wG6\n4yLiVEp283WU3xTPiYjLMvPmiTSlPp4B/IHOxpC9KINrp/RykdbGlf2ABzJyRfTrgOMpg2wnNoNc\nWdXPdklEfJwyYLmUMsj26Ih4ISU7+7pmULMOkA1SMrcH8BzKIOdaygDd73r/GjrqxqBjxznHQTlJ\n6lPG8A1j+ATaC2XS6/fA/SjxewVlguzyiNgJ2AG4F2XC8B7AMcBnuxf3ZObqiPggpTrKLpQJzgso\nk27D1E2mmXlL++bGb0nqX8bvnuP384EDm9sAR1O/oxHasIyyweRulEU1D6X00d8JXN/L56j978uB\no8Y5zw2mktSn6qLO3YDtWi8PU/qLTSwZ7b1DwDsi4u/pVPwE+LuI+GV7s+Uk2pURsRx4adehzzbt\nHul9rQW596SzULTbMGXB6DHAJ5qkSV3j6CdGxKeBN7Xet21EfIay0HVN83uhjqMvo4ybDwDP7Lrf\nb8f5rNdExGuAvwT2pFQsbX7LrANuAC7IzCu63mcfXJL61Dzqg3dfOyNiCaWyOZS5aIAPNe0e6X0L\ncQx9JPbBJUnjMYbP2xh+bb2uJEkbMX7Pz3nwXo02lyBJWvzmSQzfH/jPUY41xYoOqP8AngJcVOff\nf5yZa5uTF+J+MteiS5IkyURPkiTNQ3XQ7FHAKiZYqWsC1gMPoZMxfFPg4h7a1gyCfYGyIaSppP0Y\n4AfACb1W2mwNiF0XEedRFpVAGRS7T0RskZm3TuAzHQ28iPIb53bgZ5SkST/MzMu6PseIbczMYyLi\nWMrGkcZ/UCqjf7wZlKttX1ev9S/Ak+hUfTkX+J8JtHsjViuVpIXJGD53MbwHf6QksGgvRH1+RGxD\nqb5yX2Dn1rGrgc+O8nvhEuCSSbRBkjQPGb/nNn7XhS8rgVdTFr6soyxe+XCzKKcuxN2csiFlH0o8\nf0B9bOL3MOV7mvACV/vgkrQw1SRMr6X09z481oLTKVgL7NR6PgD8tIe2NUmVjgWeTYlxAPcB/gr4\nQCvOT8Y/UuJn4zbGSZzQ8t+UTSGNG4AfA5/MzF+0TxytjZn55oj4P5RFp40XU+L1s5skT/X3x5p6\nrRPY8Ltcw4bJokaUmScCJ/b0ySRJ816/9MFH8WhKX5bartMpFcJ7saDG0MdiH1ySFiZjeH/H8IgY\nAJMyStJCY/ye2/g9H+bBJUkLU5/E8FNHeO1aStGf64CDKHPRO1MSKg1Rkhd/Cfgn4JMjvH9B7Sdz\nLbokSVJ/M9GTJEnzQF0M8RDgicDj6WQd/xYlk/cfZ+C2Q5QJowEgKRNAdwMuGud9zWDWT4Czgb+o\nz/emZC4/YaILQer5pwFHUrKXQ6lesj1w63jVTloDl8dTNqgcl5lnjHCvJeX0XD9SG1uDju+nVDd7\nLOU72hZ4T0Q8APga8LOI2J0ymfY84AjKIN3yeqk3ZOZtvX4Ho3wmF8ZI0gJgDJ8fMXycdg5SYvSO\nwOr6cjMe8oj6bySHRMTOmXndONeP+lmskiJJC4Txe/7E76YfHhEvo/w/NFXNjgVOjYg9gT0oi3ce\nABxKWbQzkgHgsIg4baK/F+yDS9LCUPt3f0sZkz2IznjstcB3KQsmp9vtlNjdGKr3Pn6c9zVVQr8I\nPIFOUqZNKL9BPjCZBbmtBFKv7Tr0tcy8dKz3thJhfRB4OPBfmfnfI9xjOTCcmUMjtbHVhrdRFrVu\n1xwCnhkRh1IW9n48Iu4PPA14OrBN16XelZk3jNXmEe5tH1ySFph+7oM3WnPQr6MkW276vh/PzJvG\neu9iGEPvZh9ckhYGY7gxvM34LUkLg/F7/sTv+TIPLklaGPothte1aTdGxE8pCae+BvwoM6+qxzcH\n7gC2Bl4BvKBefw0lsdQ/RMS5mflzWBz7yZwHlyRJ6j8mepIkaY5ExAGUDR5HUgblBlqH11Hi9CaZ\n+ccZqmq5D3ATsBtlA8YtdAaWRtUaOLqYkuH8IfX9m1EmklZm5qpJtOcUSsb5Hevz/YHdgUt7Hayq\nFU7uqkReF7QEsD6LdaO+mc4AX2aeGhGvAX4E7EkZjNyCMgj3BMpmnMH6+mb17UuAm4G3ZmavVV8k\nSQuQMXwjcx7Du9VNqVtTvqMDgPsDhwH3ocTv5npL630aw8BJlApuR/eyuNVJNUlaGIzfG5kX8bsu\nbt0J+AfKoqFllP+PS4EPUxbEHMDY39Uw8HPgp8AxLm6VpMUlIp4MvIwSA1eOctrSzDy3tfByOj2C\nsgFj0/p8LaW69pha8fQE4CzKotbG/hGxW7NQtVdNgqWIeC+d5EoAtwKv6vU6dVHpEe3rUn4bra0x\nfM047x+qj5+PiCspfehm3UFQFtm+E3jXaJcAvpqZ/9Zrm1v3tg8uSQuAffCO1sbOp1IqmjcbO08B\nvtzrdRbyGLokaeEwhncYwyVJC4Xxu2M+xW/nwSVJ4+nnGN5cIzOP6D5Wk0D9uT79E/CvEfET4HuU\nPV1Q9ni9KCJ+lZ1iRwt6P5nz4JIkSf3HRE+SJM2SiNiFMnH0RMomipE2pQzXf80g3RYwvVWx6sBX\nMwjU/i2wIyXbeE/qJNRpwDXArvXlewEHUzKU9zSY2DrnTOBqOptMdwP2jYifT+Tz10zmkZnDU9nU\nk5kXR8TTgY8AD24dWsnIv6EuBT4KfGmy95QkzU/G8FGvMy9jePVC4DnAvYFtRji+rPX3ucD3geOA\nX7goRpIWB+P3qNeZj/H7nynJKoYpi1yXAG8d5z3Gb0lapCLiEOCVwOOAndlwU+JolsMGlTqnox3t\nGN5eVLsJsLrX69TETD+jjDEP1pe3Bp4GfGQiyanqtQYplcjb3j1ecqZuNYYPZKlWOjTuG0Zv008i\n4nnAp4At27cY5S1DlIrlfzfZe0qS5h/74ONeawB4e32p+fxvn0RiB8fQJUnTyhg+7rWM4ZKkecf4\nPe615lP8dh5cknQXY/io7VlCiZPDNRlTdh0fzMxfRsSHgL+nzEkPUObf7w38tn0v95NJkiRpoTDR\nkyRJMyQiVlCqfT+JMiC3xzhvuQ5YD+zSeu2siFg+0U0aY2kNfF1GWdzRPN+NskllXK3BvQsok0q7\n1uvsCDyIkpm9Z/V6qyPibMrAXlAG3w4EtqJkiu9JbdeUs5nXwb7fRsRfAs8CXkr5fDvUU1ZTBiUv\nolRM+UZOsAK7JGl+Mob3br7F8NYG2XsCDx3ltGuA4ykbS0/orhxTF/w0TbJCiiQtEMbv3s2X+N2K\n202yqTWUOYv1lGrjbcZvSVqkImJ74NXAM4B7MP78dbMhYrD12hURsUVm3jpd7WrFk5PZMNHTIBsm\nNBpVK4afRKneuV09tIRS6fMjk2jaV4FNW8+vBP7fRC9S2zXlxFg1nn8tIs4E3kX5LbaMDb+zNZTP\nfyrwnsw8dar3lSTNLfvgE/ZK4ADKd7AE+B/K74MJcQxdkjRVxvAJM4ZLkuac8XvC5jx+Ow8uSQJj\n+ATaM14yxiZZ1HGUYlGH1+fbAgcBv+26nvvJJEmStCCY6EmSpGkWEQcA3wHuPs6pq4HfUTY3nAGc\nArwb+GtgLWXQ7OrMXDORiiQ9tnEgM2+PiNWUDZ13Ugbl9gXOGa+KeGtw75ra9sdQBsOWUSbIJpo1\nfoAyKPlr4K+AFfX1g4CdgJu6MsfPuMwcrt/TDcB/RsQngAdSBiFXUT7rKuAKyv/T0Gy3UZI0vYzh\niyKGN/f5IfD6+vefKZOGxwE/zMzL22/oXhAznf9fkqSZZ/xeFPH7u8BfsmHSCuO3JC1yEfFk4Gh6\nm69eRVkgeQrwdeALbBj7r8nMW8eLqZNo42Bm3hgRQ2y4+eLBwLciYmlmDo32/lYs/S1lket2rcP3\nrOf03N6I2B84suvlj2bmqrkam85SqXUwM88HnhkRS/n/7d15tGVnWSf+71u3KnMIkJAwhBnCLFNA\nCPOgYDuB2AoqiIATDu1sK+2IILT9Q2wBAbVdNgo4oTILCLGZZyQSpoSEIRCCSQiZU8Pz++PdO/fU\nSdW95966N1W76vNZK+vcs+d9aq18z37O3s+bPCN9tNb/TP/O87X07zAfqqor1dEBpss1+NqvwVtr\nJyZ5apa/S1yW5M+q6qr9lIlq6ACHIBkuw2U4wPTI74Miv/0ODnAIkuHrupdtr2b29YX0plJjo6cj\n0ptTbdi+5vbreTIAADaVRk8AsPGuyJ6LctvTC0sfTC/GnZHki+kjWe8YCjsXDsuOxZ2FOqKvQxte\n35/kvjP7e0T6wzULqarLW2ufzXJhL0lObq3dtKrOX8PxjPt/f/rncczw/k5JbpPkzP30kMqumb93\nZpVRXRTlACZPhk88w2ey+51JfiHJv1XVR+eXa60tJdnlhhiAg4L8nm5+jxn89uH1vUnelOQN8hvg\nkHBx9v5b9ZXpN0S+P330y48mOTfJVUOjoEvmlj8ym2Nsjnh2knvMTH9Mkl9edCNV9bXW2qfSG0SN\nbtxau0dVnbHa+jMNpZ6X5KiZWWdX1f8a9rHfatOzN/kOx/knqyyvjg4wXa7BF7wGn3kQ5slJ7pP+\nGW1L8o9V9a/DPvbn799q6ACHFhkuwwGYHvk93fz2OzjApap8AAAAIABJREFUoU2Gr/1etkVckuTS\nLB/rkUl2bPRgULM8TwYAwGbS6AkANt7n0zurf1P6KOMfSy+AfTTJOUkuTHL5/I8xrbUbJrn58Pbw\n9IdZPplsfIfxmULWe5M8M8nS8P5Bc/P3aqbb+BeTfCnJHYZZNxn+Pn/RjuQz5/cf6Z/RycP745Pc\ntbX21lphZPTrky7rAAc1GX6QZHhVXZnkheP7YbSzGs9ps37UA2C/kN8Tze+ZXP58a+2wqtoxO19+\nAxz03pPlGz63Jzk/Pb9PT7+59ewkF8z//7+1duskJ8xt62PJxmfFTB6+M7s3errD3Py9msnnT2X5\n4ZKkn/eDk5yxUoYP87a31k5N8tjZw0vym2s5n+uTOjrAQcs1+ALX4MO8na21k5P85DB5a/qDKH+0\n9rPaeGroAIccGS7DAZge+T3R/PY7OMAhT4av8V62Bfa1NPxmftP0JlVXp39Glw3fA7ZcX80S/Q4O\nAMBG0egJADZYVe1qrf1C+gOSH09yQXoBacWHPqrq6621uw9vd6Z3GP/cph5s8olhX4eljyBy+9ba\nzavqy2soQJ2X3QtzN0pyYrK2juTD/na01j6W5IHpxcKWXuA8PhtY6NsX+3v/AGweGX5wZXhrrSXD\nXTFGOwM4aMnvgyO/h2NZSm9aUfIb4OA33HD5rCS3SPLW9EZIXx0eWFxpvc+31k6cm3ydEbA32P9L\nv8F1dGRr7d5V9dE15OUnklyWnt1Jb/h0m2TVDN+S/v3hJVluEpUkH66qVy54/Nc7dXSAg5Nr8IWv\nwVv69e1/S3K7LDd7/POq+sh6TmYzqKEDHDpkuAwHYHrk98GR334HBzj0yPD13cu2kuHegm1Jjhsm\nbUmyI73hU9Jz9nrhd3AAADbKlv19AABwoGmtndpa+83W2gdaa48cpi2ttt6cd1TV31XVp6vq4tWK\ncq0bRy5PeqHpsiRHj/PXuP9FfS3JmcPfO5Mck+Shw/sVvyfMFKjOT3LpzKwT0n84W6txf+9LcsXM\nNu6R5KRxn8NndVRr7eTh3+qwdewLgIOQDJfhs8Y7YzZzHwDsO/ktv0dVtbOqdslvgGlorT25tfav\nrbXLhhtVM9xcuRZ/WFW/WFVvrqpzV2vyNOTScek3mc660Th/jftf1FlJrpqb9tThdcWBlWZy7cws\n32ia9CxeMf+Hm2d3ttaemOQ+M7N2JHn2sMweP/Phszq+tXbf1tqjV9oPAIcO1+Cbfw0+5Peu1tq9\nk3z/MHlb+kjtfzEss8fPfOYa/BattTuutJ+NoIYOMB0yXIbPkuEA0yC/5ffI7+AA0yLD99u9bKv5\nriSPTXJNet5fluTv544FAAAmY8UbTwHgYDUWuoaHFo9KcmqSp6T/0HP0zKKPTPL2tW5/rYWi4Tju\nkuURubemdzX/ynq2twYXJnlP+oOc48Mx357k1YtuYOgcf1l6MXFX+rEfs45jGc/x/eld68du63dM\ncrfW2nlJTk5ylyT3G/57UJJvSfKv69gfABMkw68lwwGYDPl9LfkNwKTMZfjxSZ6U5KeT3Glu0ccn\necFat7/ODP+27H5T6TVJPrWe7a3BWUnOTnK3mWnfmT5C+EKq6vOttflmUcftceHldcbz+bUkszcP\nv6+qXttaW5q9Kbi1dmySWyS5Z5IHJzktPdu3tNYeWFVnDA++uNEV4CDmGvxa++UafOZ8npZ+Xb09\n/dxfVVWfaK1tqaqd4/KttcOT3CA9w8dr8AckWWqtfXdVnS+/AQ4NMvxaMhyAyZDf15LfAEyKDL/W\ngXQv27WGf58tSXYNn80Dk/zyMHscpPAlVXXRvuwHAAD2J42eADgkjYWu1tot00fefkKSbxpmb08v\nMh2WoRv57A89G23mR6Er0x+QGX9oukmSz2zWfpOkqq5qrb01yY9n+UGRxwzzVj3n4UGSnekPhbb0\nh2qOTHLbufmLHMuu4fWc1trnktwh/d/hqCQ/muSH0/+NTppb9aHxkCnAIUOGdzIcgCmR3538BmBq\nZjL8/kmem97074g9LHqPYfkVRyLdFzMZfkmWb95Meo7/y2btN0mq6pLW2huye6On2wzzVj3n1tq2\nYbmLx/UGp8zN39O6T8/y96YkuTrJ04e/D2utnZj+QMoDkzwkyd2THJ/dm2FVejOuM9LvD9i0fycA\n9j/X4N3+vAZvrT0g/bp6Z/r5fiLJC4fZS621G6Rfb98xyX2TfHOSe2f3a/CLktwnyRvTc33T/p0A\nODDI8E6GAzAl8ruT3wBMjQzv9nOGL2Vo5DTzvqpqnLZzmP7YJL+XntU707P6jCR/uq6TBgCAA4RG\nTwAccoYC0L3TRx9/YpKbDbPGAtKYj5Xk7q21k6rqq5s1SsfMNo9Nf0jj8GHfn0ty4/Qu6RuitXZ4\nVV09N/k9Sb6RPkrJ9iQntNYeWVWLdJ4fj/3s4XVr+uc4Pmiz6zpr7Pm4tqQ/THpSkhtm6L4+vFaS\nh62w+n0W2QcA0yfDZTgA0yO/5TcA09Ra25ae3f8tPcu3rLD4DVprdxtGyN7sDD9xbtYVSW6f5KyN\n2ldr7diqunRu8l8l+ZXdF2u/UFUvWGCTY0aflf5ZjsYRWXfs5Ti2JXnW3OTTkxzdWvuF9MZO90n/\nfrUte9eSnJZsbjMuAPY/1+D7/xp8+Df46fQRy3cO23lleoPGR6Y/LPSA9BHib7fC/m+c5J5J3riZ\nDxEBcGCQ4TIcgOmR3/IbgGmS4QdEhh9dVZfvtqGZDG6t3SnJw5P8YJIHz2xrKcmXk/xSVX1+geMD\nAIADlkZPAByKTkvyogyjjKcXl1qWO5CPxbEd6Q88PjjJP2TzR+m4Z5a7r29J775++YprrGJ4EOTY\nJDdNHx38oa21P6iqrwwPdlZVnd9aOz3Jd2V5RJPvb629r6quWGn7VbVrKHQePkzall5AO3eYv2Ih\ns7V2QvooKXdJHyXl/sPfh6V//uPnMWt7kncleX2SN1fVJ1f7HAA4aMhwGQ7A9Mhv+Q3ANP1Ykv+V\n5IgFlm3pI53+cvrvz5vZTOgRc+8vSPK1fdlga+3I9Bt475b+3eVbW2tPq6p/nxlJ9IzW2vnpOT96\nRmvtL6tqxZtrq2rn8D1h/rP83DB/bxn+cxlGO51xzyT/L/3BldVcPCz7sqp60wLLAzB9rsH3/zX4\nI5I8fvh7KX0U9m9O8t3pDw/NXneP/z6j2WvwN1XVp1b8EAA4mMhwGQ7A9Mhv+Q3ANMnw/ZjhrbU7\nJHl6a21XeoOp89J/175N+iBHd05y8nDMs1m+Jcnrkvz6Zg5ABQAA1xeNngA4FB2d3tk86YWwpfRC\n0uuT/E2SH07yo1nuHv6o9MLcpmitLQ3dx7elP5xxVfoDH0dU1VUz8xfaVvr5nZA+ivm903+0um+S\nW6YXIL+Q5IXpha5KL8a9Isl3ZrkQ9uj0AubbVtvn8JDKfYa316Q/IPql4Xj2WjxrrR2d/jn/Xnb/\n8Ww0+z3l40nemOQNVfXu1Y4JgIOWDJfhAEyP/JbfAEzTDXPdBoA7kvxHkj9Jb0J0l5l535be6GlT\ntNa2VdX2LI/+OdpWVZfMzF9oW0lOTHKH9NG8H5rkXklOyvINvL+d/oDI1vTvKduT/FWSX5rZ1B2T\nPC3JH6y2z6ra3lq7x9zkzw7Hc50Mb60dl+Qn9rCpm+5h2uiqJB9J8oqqeulqxwTAQck1+H68Bm+t\nHZHkKUmOzPLDQIenPyCzx9OKa3AAOhkuwwGYHvktvwGYJhm+f+9l+/pwLD8w7Pua9Dy/dpO57r1t\nn0nyyvTfwc9prW2pql0BAIAJ0+gJgMlorR2e/qDFTdILOjdIcl5Vnb3g+mOR6JwkZyW5xTDrNUn+\nOsnbqurymYctxgc6HpT0AtSGnMicme0eNvO6M8lXF91va+34JHdPcqckD0xyv+HvpZnFdqRn/xPT\nC3M1s+23J3l3erf5pHdD/5HW2ulVtWOF/Y5FwxsNk7amF+W+Phz7Sh3SrxnOc08PmH4xyVvSi6Vv\nr6pL5/a7Zdi+4hzABMjwvZPhAByo5PfeyW8ADmSttWOT3C39xs0d6Vn+iap6x4Lrjxn+4SSXpjd8\nSnrm/N8kL6yqr7XWHprdGz3dPukNjTbkRObMbPfwuVkXL7rfYXTQ/5Ke3Q9Iv4F0fnujRw+vu2a2\n/eL0m3qPG95vTfLM1tr/rqqrV9jv2ITq6JnJO5OcPxz7njL8mPR/v5XsTP+e9Q9JXlRVX5nb79Kw\n/c0cWRaADeAafO8mdg1+WPqDQfPHNcs1OMBBRIbvnQwH4EAlv/dOfgNwIJPhezexDL8kyYfSGz0t\nZfcmT0m/t+2y9OZbH03yriSvn/0tXHYDAHAw0OgJgANea+3EJI9LH1X7lCQnZ3nU6k+11s5K8sdJ\n3lFVO/bWnXumSPSVJP+W5MtJXpTk/XPL/3uSK5IclV4gu0Nr7Y5V9dm9dBTfKPdN7z5e6QWrj6xh\n3YekFxhXsnXY5muT3Qt+VXVxa+3VSe6a3p2+kjwpyd8m+efkut3Uh/c7W2v3T/KILHdfv6Sq3rPa\nZ1V9BPNPp3e6vzrJm5O8IclbqupLs8uOP6b11aoU5gCmQYYvRIYDcECR3wuR3wAccFprd03ya+k3\nmp6YfkPk+P/0a1prFyf5w/RGTVfvbeTPmTw5Iz2nb53kuUn+z9zy70jygzPvj2itPbqq3rbJGX6v\nufcfWsO6T0/y3xdY7ook70l2byBVVee21t6c5Puy3DzxNkl+M8mzkr1m+PbW2lPTbzoe7aiql+/t\ns6qq84bsPmV2cnpzqDcneUlV7XbuY2On9OZUtad/XwAOLK7BFzKZa/Cq+kZr7czh7dhM8pIkpyd5\nXVyDAxw0ZPhCZDgABxT5vRD5DcABR4YvZEoZvr219u9J3p/kiPTf0A9L8qkkn01yXnqzqM8k+XSS\nC4b9tGH9zfr8AQDgeqXREwAHrNba0Um+P8lPJ7lHdu8mnvSROO48/PeoJK9qrf16VV2wUgFt+HHn\nJUkuqqG7+FD0aUOB7vNJPp4+oveu9AdiHp5eNNqSXqzbyPMcC4k3SH84ZPtwrluG+Xt84GY87uE8\nP7aXzZ+V5F/SRyM5vfYwqvjMNl6R5JuTPDm9yHZEkt9orV1ZVW+pqhp+5Grp9bFdrbWbJPml9B/J\nxs/7FcnCBbR3Jjmlqj43f0zD+Y8PpPgxDWBCZLgMjwwHmBz5Lb8jvwEmaciH56ePvDk/2uXosPTR\nTZ+XPvLm91TVmatk+HmttWcmOXvMtDEzhqz8UJJLkxw7s9pTkrwt/Tfo7dlAMxl91NysMcO31UxT\nprl1x/N8Q/bc6Gl7kk8m+Zskf1xzo3rPbePnk5ya5PYzs3+utXZpVT1vyPDxu8Wu4abTOyd59twm\n/zXZc4bP7OuDSe6ZfgPrS6vqNfPLpX/WO4YM19gJYCJcgx981+Az+zoz/eGXM5K8tqrOmF8ursEB\nJkuGy/DIcIDJkd/yO/IbYJJk+MGX4aOqekdr7XHpTZ6+UVVfGLZ9bJKrq+qqPayjwRMAAAcVjZ4A\nOJD9YJI/yO4Pilyd5ZE3diTZll7IOjLJ05LcurX27VV1zUobrqoLkuWi1FD0GQs/X0/vDv6AmVUe\nkeRPZ5bZMEOB69j0YljSC2JfT3L5MH+vhcCxWFV9JPEr0guJr09/YOWt43mOhuLXlrEgOW5j+Bwu\nba39cZJHJrnFsK37JHlxa+1nq+pNsz9yDcf8s0m+J/1zaeld01+9hnO/KMlFM8dWM/8eHkoBmC4Z\nHhkOwOTI78hvACbpBUl+aA3L3ynJO1trt6qqy1dasKrOTK6T4WNmfCH9xtB7z6zy0OF1wx+WqN4w\n6Wbp30munZzebCq1lyZPw7wxw9/V79FN0m/QfUOSF4/nORoaNW2dvdF1JsO/0lr7nSR/keWbiY9K\n8rutN5t69vB9YuewrZsleXn6yLKja3Ldxk97Ot5nzy83HNuumX+PDW2oBcD1xjV4Dq5r8JnjfVOS\nN+3h2FyDAxwcZHhkOACTI78jvwGYJBmegyvD5479q0m+Onc6lyyyLgAAHAxaaWYKwAGotfY9Sf5+\neLsz/YGJD6QXfT6Y5Lwk35bk+5I8eJg/Fu1ekuR5VfWlme7ma9l3S+/8/sr04tSWJOckueNat7WG\nfR6f5L1Jbjfsb3uSu1bV2Qusu2Uo7t20qs6fm9fSP5taqcA3t/x/SfKa9KLn+NlfnuTfkrwuyY2T\n3D3Jo9M7qI9FzZ1JnlFVr1jopAE4KMlwGQ7A9Mhv+Q3ANLXWnp/kV+YmX5bkbekjc/5Hkmem5/gN\n55Y7I8nTqupDbYVRQFfYd0vywvSbN0c7khyx1m2tYZ93SB+he9vM5EdW1TsWWHeperOoe9SeR/U+\nLL2B0qqNk4blf2v4b94FSd6a5IT0plq3yjDa6oyXVdVPrLafmX1dO+L4IusAcGBzDX7wX4MP+xpH\nNZffAAcJGS7DAZge+S2/AZgmGX7wZzgAABzqNHoC4IDTWrtxehHudukPhmxN8qyq+v09LHt0kt9P\n8qPpRbmxE/hzquo3xg7r6ziGb0p/GOMmWR7N47Sq+uB6in0L7O/w9BHET0w/511JvqmqPrPIOcwu\n01rbmv45rPnBj5ki388l+fkkt0wvEm7L8mebLBcsR9ck+Zmq+tO17A+Ag4sMl+EATI/8lt8ATFNr\n7XZJPpXdmx79S1U9dg/L3iQ9a+85N+udVfXQfcjwJyT52+yeU0+tqr9cT/OoBfZ3bPropbP7e0xV\nvWUdGX54esbuWEeGj02j/jHJd6bf3LqoV1TVU9ayPwAOHq7BXYMDME0yXIYDMD3yW34DME0yXIYD\nAMChYH70UAA4EDw5uxflXpXkBa3b2lrbklz7MMXl6aNm/3/DuuNo209trZ26nqLc4MtJPjr8PXYh\nf+Twvu1xjX1z1yTfGP7emj7S+pakt05fbeXZZapqR1XtXM+5jwXHqnphkp9I8v4sPyg0W4wcv0Oc\nl+SvkzxEUQ6AyHAZDsAUyW/5DcA0/UF2b/J0bpL/OmT44a21pSRprW2rqq8leVySd81t47TW2pP3\nIcPPSHLR3LTvH14343fob8/yjbRJckWGJkvryPCrq2r7OjN85/D6+CS/k+SyVVbZmT7K61M1eQI4\n5LkGdw0OwDTJcBkOwPTIb/kNwDTJcBkOAAAHva37+wAAmL7W2hFJbpjksPQi1s2TfK6qL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cl7c53tGflTeBhEQ0Ih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CDY/DvuZcCWwB0l71dERKRtRiOGt+B+Ij7OJjrM1iJWSvkVEX+Hu2LqdUT8v77B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\nPFpnJTlt7hzXZXxD/BEKngCwDBk+kOEATIn8HshvAKbmFUmuT/Jfk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HOHeKEEIIIYQQQvw4nUBubnnQ04ULwQOgbLZQ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VB3vPDCC0hJScE777wDAFCpVPjhhx8wZcqU+94rERER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\nahaJ2tcCBblPH2WgI1vVFARhVLGozXYRpMXWimQQJMbPqyAI8BFkQxzZ4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oTAZo2reKWId5vBDLKpTAKG9xOcTisqAAqXJ4SywX5X1jo6hV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\nu3s5V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pFlGeeeey7uvPNO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Svz3P35wqBZj9z9EuB2orPNiQ7Bd5hZd4tSOoCnC+83IjLCjwEWAye5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     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "600844_300387 {'beta': 0.6072061746791542, 'const': 2.158263990762583, 'risk': 0.03409791048142718} 0.0238095238095\n"
     ]
    },
    {
     "data": {
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P7PP/88HnjgAQDnf48HDBiAFStWoGHDhn7j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\nMCCDwSBHjx4dNpRHpVLJsWPHKqFTdrsdGzZs8JhMJptWq3VXJPiq1LJly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e5AqZ6NUsP3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\nIGVSAkyzJ8A0ewKEzwfX3sNwbN4JR9pOuHYfbFBYpyhxw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M3AazPzU5l5VZMhPiIGImIgM28GPg68q2k+ZXHPYRFxPwf0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      "002413_002553 {'beta': 0.5682320346279081, 'const': 1.1046877787695288, 'risk': 0.03245656455429258} 0.0238095238095\n"
     ]
    },
    {
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hQ/KMjAyJzWZD3bp17a1bt7Z2797dUtaxE1UG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\nRERERERERERERERERERERERER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ptdwVD18+1T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\ndezYMWRkZLjWL730Uo+GQu3YscMVCgUA1157bbdDobpjw4YNbj9rd9xxR59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njpWDMgjp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\nU5C1v7+/IkCprq7O68UaGhpY17afn5/o7VyNRsOzLCuKo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wU+GRG7wX0Db2uoi3UANqYs1FlNqZp2GXSqpmUxWCfpFkXE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\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     "output_type": "stream",
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pU6f6PT+vvHsvSnFuSyoe6y9nkfTMFIhJaeXd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\nga7kXYhH4itTYdY4D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kSZIkSZKkBuVbQM+E+B8xxo8z5D+WFJ8UQsh2Ns7XkuJ3YoyL0+ROBpYlxLsDR2RZ59ykeFwt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\ndVRe+rj11lt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etpPbf5Ce3ftYsPk5YiJBrK+j/fsPkm5rLVz7+675TX3PBRoJzcX7xecCiaYUoTlVeH6QKnmO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aedFlI/Qm94PB72799vDaoTsX603sCMNxjKFatuBOHfRPEGQ9V0n5rsJQ2cgqFE5EdiMlD5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\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rGmuz9UVb+cYbDvjPH2W2cY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MDY5fn3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\n3nDE9pyToXi5Mv7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tc7vgy/Ad0QPPllKMKCXNYTERFR0VgsgNksNZPp7u28fVf3FafW1bqiKJ1oJ5NJLfftgvqeqi3J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\nIiIiIiIiIqJk4fh2Myqu+BOURmvEPobB/VG4aB50BTlxrIyIiIiOpMJCY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3xXXpgD09FBJlG56KPT2V+AG9MSyWmNUhIiKtR+BwJe7Fy3Ev\nyMW1MI/qHSVRnd82PJWEnCwScrKwj0nDt2Er7kX5uBbl48ldAz5/s+YP7C2l8t1/UvnuPwGIH9yf\nhOxMnNkZOMefRVxiQjTuhoiIiIiIiIi0QvoLiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIjIGc40Tcwq\nN4H9hwiUlhE4cIjAgZrL0jKqSw7g21iEf/MOqA60WJ3Wfj2wDRlQNwRqYF8Mu63FapKTE+e04xg9\nDMfoYeE+MxDAv3UX3oJCfGuOBEYVEjxQFrM6ggfKcC/Mw70wL9xnJDiwDUvBnj4Q+/BB2NIHYhsy\ngLgER8zqEBGRU8MMBPCu2oBrYR7u+bl4lq+DQPQe21i6dsQ5OZOEnCyc2ZlYu3Wqc7tj1FAco4bS\n8Rc3Eaxy4/n3d7gW5eNelIdv7ZZmr+/fuI3yjdso/8d7YLXgyEjHOTmDhEkZ2EcNUWimiIiIiIiI\nyBlEv+WLiIiIiIiIiIiIiIiIiIiIiIiIiIiIiJyGgi5PONjp+MCn0PVg6dHwJ9Pja+mSwyxJXeqG\nPw0dgC21H3GJCS1dmsSQYbFgS+2HLbUfXHU+EAotC+wtxbumEF9BYc3lZvxFu2JWh+ny4M1fizd/\n7dHOuDjiU/tiT0/FPjwVW3oq9vSBWDp3iFkdIiISHdXF+3AtyMO1IBf34nyChw5Hb/J4K46zR5CQ\nk0VCTha2tBSMuLiIDo1r4yTh3LNJOPfsUJ37DuL+ejnuhXm4FuUTKNnfvNqqA3iWrcazbDWH/vQy\ncW3b4JgwioTsTJyTM4gf0AfDMJq3hoiIiIiIiIi0GAVDiYiIiIiIiIiIiIiIiIiIiIiIiIiIiIi0\nAkGPtybIqear9FA44Cl8Wet20+Vu6ZIbFdepfSj4acgAbENrLockY+nQtqVLk1bCMAysSV2wJnWh\nzQXjwv3Biiq8a7eEw6K8BYX4NhSBzx+bQoJB/Bu34d+4jcrZ88Ldlp7dcIwagj0jDUdGOvaRg4lz\n2mNTg4iIRCTo9uL5dhWuBbm4Fubh31AU1fnjU/qQkJOFMycL5/izohZcae3WibZTLqDtlAswTRP/\n5h24F+XjWpSPe8kKzEpXs+YPVlTh+nwJrs+XhNbr3R3npAyckzNImDgGS5eO0bgbIiIiIiIiInKK\nKBhKRERERERERERERERERERERERERERERCQGTH91rSCnmlCn/YfqBjzV6mtuGEBLMhITagKg6oZA\nWbp2xDCMli5PTkNxbdvgHDsC59gR4T7T58dXuB1fwWa8azbhLdiMr6CQYHllzOoIFO+jqngfVZ8u\nDnXEW7Gnp+LISMOeGQqLsvburvNcRCSGTNPEt6EI98JcXPNz8SxbjenxRW3+uLZtcE4agzMni4Sc\nLOL79oja3PUxDANbaj9sqf1o/5MpmP5qvCvXh0KiFubhWb4OAoFmrVG9ay8VMz+lYuanANjSU0mY\nnIFzUgaOsSMVdCgiIiIiIiLSyikYSkREREREREREREREREREREREREREREQkAmZ1NYGDh2tCnUJh\nTsEDtQKeDhw6GgJ14FBMw2paiuGwEZ/aD9vQAbVCoAZg7dVNwTgSc4YtHnvaQOxpA2l73cVAKCyk\neucefAWFeNcUhsKi1myieve+2BRRE9zhXbkeXnwfAEtSFxwZaTgy03FkpGEbMYg4h8I2RESaI3Cw\nHPeifFwLcnEtzCNQsj96kxsG9lFDSMjJwpmThWPMMAxry77V0oi34sgajiNrOPxyKsGKKtxLV+Fe\nmIdrcT7+TdubvYavoBBfQSFlf5uFYbfhOHs4zkkZJEzOxDY8FSMuLgr3RERERERERESiRcFQIiIi\nIiIiIiIiIiIiIiIiIiIiIiIiIvK9ZAaDBA8drhXodOKAp1BfGcFDh8E0W7rsU8NqIX5gX2yDk7EN\nrQmAGpJMfP+eGBZLS1cnEmYYBvF9exDftwdtLpkU7g8cLMe7djO+NYV4a0Kj/IU7IBCIeg2BPQeo\nmruIqrmLQh22eOzDU0NhURnpODLTsPbqHvV1RUTOJGZ1NZ78dbgX5OJakIt31YaoPu6y9OhKQk5W\nKAxq0hgsndpHbe5YiGvbhjYXnUObi84BoLp4H65F+bgX5+NetJzA/oPNmt/0+nAvXo578XIO/u7v\nxHVsh3PiGBImZ+CclEF8v57RuBsiIiIiIiIi0gwKhhIRERERERERERERERERERERERERERGRM4Jp\nmgTLK+sGO9UEPQVr2tUHyggeCX8qLYdgsKXLbhm2eCxdOmLp3D502aUD1t5JR0OgUvpg2OJbukqR\nk2bp1J6EiWNImDgm3Bd0e/FtLMK3ZhPeNZvxFRTiXbsF0+WO7uI+P97l6/AuX0f5398L1dOzWygo\nKjMUFmUfnopht0V3XRGR04x/ezGuhXm4F+TiXrycYEVV1OY2HDYcY0eScG4WCTlnEz+4P4ZhRG3+\nU83asxvtfnAJ7X5wCaZp4lu/FfeiPFwL8/EsW43p8jRr/uChw1R9vICqjxeE1uvfKxwS5Zw4BkuH\nttG4GyIiIiIiIiLSBAqGEhEREREREREREREREREREREREREREZFWyTRNzEoXgf1HA57CgU8Hyo7v\nKy2D6kBLl90yrBYsnTtg6dKhJuipY612h1rtjli6dsRITDitwxFETkac047jrCE4zhoS7jMDAfzb\nduP7rhBvQSHegs341hQS2H8wqmsHivdR9fG+cOCGYbdhGzEoFBaVkYYjMx1rj65RXVNEpLUJVrpw\nL12Ja34u7gW5+Lfuiur88UOSScjJIiEnC8fYkcQ57VGdv7UwDAP7sBTsw1LocOf1mF4fnvy1oZCt\nxfl4V21sdvhp9bbdHJ6xm8MzPoK4OOwjB+PMziBhciaOjDSFG4qIiIiIiIicAgqGEhERERERERER\nEREREREREREREREREZFTzlLhwllUgvWwC9emA/gq3KGgp3AIVBnB0jJMr6+lS20ZcXFYOrcnribM\nydqlQ+h611oBT0faXToS1z5RQU8iJ8GwWLCl9MWW0pfEq84L91fvLcW7phDvinV48grwLl9HsKIq\nauuaXh/evAK8eQWU1/RZe3fHkZGGPSMdR2Ya9vRUDFt81NYUETnVzGAQX8FmXAtycS3IxZO7BvzV\nUZs/rmM7ErIzcNaEQX1fA/YMuw3nOaNwnjMKHvhvAmUVuL9ejntxPq6F+VRv2928BYJBvCvX4125\nnrK/vIGR4MAxdiQJkzNwTsrANixFj0NFRERERL7HDMNIAbKA3oANOARsAJaapulpgXrigcFAGtAd\naAtUAqXAd0CBaZrNS9MVOUUUDCUiIiIiIiIiIiIiIiIiIiIiIiIiIiIip4x/5x4O/+Zphnz+DYZp\nAhC9qJXWLa5T+5pQp5pgpy61Ap7C7dD1uA5tMSyWli5Z5HvL2r0z1u6daXP+WADMQADfpu148wvw\n5K3Fk78Wf+H2qK5ZvWsvlbv2UjlnPgCGw4Z9xGDsmWk4MtJxZKRhTeoS1TVFRKKtet9B3AtzcS3M\nw70wj8D+Q9Gb3GLBkZGGMyeThJws7CMH6/HSCVg6tCXx8skkXj4ZAP/24nBIlPvr5QQPHW7W/KbL\ng3v+v3HP/3dova6dcE4agzM7g4TsDKw9uzX3LoiIiIiIyGnAMIz/BP4fMLqeIZWGYcwAHjZN80CM\na0kGrgEuACYAzgaGlxuG8SbwtGmahbGsS6S5FAwlIiIiIiIiIiIiIiIiIiIiIiIiIiIiIjEXdHko\ne+ZNyp6dhenxYbR0QVEQ1z7xaKhT16MBT3GdO2DpekzoU6d2GFa9hF/kdGVYLNiHDsA+dADtbroC\ngMChw3iWr6sJiyrAs3wdZpU7amuaHh+e3DV4ctdQXtNn7dsDR0Yajow07Jnp2NMGYsRrbxGRlmN6\nfXjyCnDNz8W1IBdfQXTfU2vt24OEnCycOVk4J47G0i4xqvN/H8T360n8TVfQ7qYrMINBfGsKQ8Fd\ni/Px/HsNptfXrPkD+w9SOXselbPnhdZL7UdCdgbOyZk4x59FXNs20bgbIiIiIiLSShiGYQdeBm5o\nZGgicDdwnWEY15imuThGtSwCzm7CYe2BnwK3GYbxAPBn06z5FAuRVkbP/IqISKtnGEdf+vHqq69y\n8803x2Sd8vJyBg8ezN69e+nUqRNbtmyhQ4cOER+/Z88eli5dyu7du3G73fTs2ZOhQ4cyZsyYmNTb\n0vLz89mwYQPFxcU4nU569erF+PHjSUpKaunSWlxVVRWLFy9m586dHDx4kK5du9K/f38mTZpEfHz8\nSc0ZCATYvHkzmzd1xPHVAAAgAElEQVRvZteuXZSXl+Pz+WjXrh3dunXjrLPOYtCgQcTFxTW7/lic\nyx6Ph3Xr1rFt2zaKi4upqKgAoH379vTu3ZsxY8bQq1evZtceK4FAgI0bN7J27VqKi4uprKwkMTGR\nLl26MHr0aIYMGVJnr5LYaI37bHV1NcuWLWP79u2UlJTg9/vp1KkTKSkpjBo1is6dO5/03LHcZ4PB\nIEuXLmXLli2UlJTQvn17evXqxcSJE+nYsWOz5z8dnap91uVysWLFCjZs2MChQ4eorq6mffv29O/f\nn4yMDLp1O7lPSDpV++z+/fvJz89n27ZtlJWVYbFY6NixI4MHD2b06NEkJp7ciy3OlH123bp1LF++\nnP379xMIBOjRoweDBw8mMzOzSfOsXLmSMWPGYJomEydOZPHiqD/nKSIiIiIiIiIiIiIiIiJySpmm\nSeWcryj97fMEive1dDkNMhITsHSpCXLq0hFL5/Y112v3dQiFQHVqj2E7udeEiciZwdKxHW3OH0ub\n88cCYAYC+DYU4clfizevAE/+WvxbdkZ1zeodJVTuKKHygy8BMJx27COH4MhMw5GZjj0jHWvX7+fr\nwETk1DBNE//WnbhrgqDc36zCdEUvFM9IcOKcMCocBhU/oPdp8RrC04URF4d95GDsIwfT8ec3EnR5\n8Pz7O9yL83EtzI9KsJe/cDvlhdspf2k2WCw4xgzDmZ2BMzsDx+hhCjQUERERETmNGYYRB7wDXHnM\nTQFgB1AOJBMKXzqiK/C5YRjnm6b5bZRLiqf+UCgPUAIcANoAAwFbrdttwBM19f40ynWJRIV+gxYR\nEanx4IMPsnfvXgAeeOCBiEOhVq9ezf33389XX31FIBA47vaUlBTuu+8+7rjjjqjWe0T//v3Zvn17\ns+aYMGECX3/9dURjX3jhBaZPn86WLVuOu81isXDeeefxxBNPMGLEiIjmW7hwITk5OU2q94i8vDwy\nMjIaHDNjxgymTp16UvPv37+fLl26RDz+wIED/OpXv+Kdd96hqqrquNs7derEzTffzKOPPkpCQkJE\nc/76179m8eLFrFixAo/H0+DY3r17c8stt3DffffRtm3biOs+ItrncnFxMY888gjffPMN69evP+Gc\ntY0ePZqf/vSn3HzzzREHr5zsH/ieeOIJ7rvvvgbHHDhwgA8++IC5c+eyePFiysvL6x3bs2dP/vu/\n/5tf/OIXtG/fvt5xR2zbto3k5OQm132shx56iN/+9rcnvO1Unvux1tL77Ins3r2bRx55hNmzZ1Na\nWlrvuLS0NH76059y5513Rjx3tPfZ2qqrq3nsscd47rnnKC4uPu52m83G5ZdfzvTp0+nfv39Ec8by\nXGvO3LUtWLCAyZMnn/C2U7XPbty4kd/97ne8//77Da6TnZ3Nfffdx2WXXdbonCUlJdx///0x3WeP\n+Oc//8kTTzzB/PnzqS/83G63c9VVV/Gb3/yGtLS0RueM5T4LsX+McYTP5+Oll17i8ccfr/cxWb9+\n/fjpT3/KtGnTsFgsjc45atQorr/+embNmsXXX3/NW2+9xQ03NBagLyIiIiIiIiIiIiIiIiLSOnnX\nFHLg/57Gs2x1i6xvOO1HA526dDga6tS5Q93+Lh2I69yBOIe9ReoUkTODYbFgTxuIPW0g/Dj03rhA\naRme5Wvx5K0NBUatWB/VABXT7cWzbHWdfdbavyeOjDQcGek4MtKwpaVgWPUWIhE5eYHDlbgXL8e9\nMA/Xglyqd5REdX7b8FQSJmeRcG4Wjsx0DLut8YMkKuISHCTkZJGQk0Xnh6B6/yHcS5bjXpiPe1Ee\n1bubGewaCODJXYMndw2HnngVIzEB5zmjSMjOwDk5k/iBfRX8JSIiIiJyevklx4dCvQA8appmMYTD\no64E/gL0rRmTALxrGEa6aZr1v5Gs+YqA14B5QJ5pmv4jNxiG4QSmAL8D+tU65i7DMNabpvm3GNYl\nclKM+t7QKdISDMNIAwqOtAsKCiJ6Q7GInNlqP8H76quvcvPNN0d9jY0bN5KWlkYgECApKYlt27Zh\ntzf+4o4XXniBn//85/h8vkbH/sd//Afvv/9+xIFAkYpGMNSll17K3LlzGxzjcrmYMmUKX3zxRaPz\n2Ww2nnnmGW6//fZGx54pwVBLly5lypQp7Nmzp9GxqampzJ07l0GDBjU61mq1Nhr0caxevXrx/vvv\nM3bs2IiPicW5vGTJEiZOnBhxDUeMGzeOOXPm0K1bt0bHxioYav369YwYMYLq6uomzdunTx9mzpzJ\nhAkTGhwXrWCop556il/84hcnvO1MCYZqDfvssZ599ln+93//l8rKyojGR7LHQuz22SP27t3LZZdd\nRn5+fqNj27Vrx+uvv86VVx77/MzxTodgqJUrV3LWWWed8LZTsc+++OKL3HPPPXi93ojX+NGPfsTL\nL7+MtdaLsQ4fPsyCBQvCbYfDwcUXXxx54TWass8GAgHuvPNOXnzxxYjnj4+P58knn+Tuu++ud0ys\n91k4NcFQJSUlXH311SxbtiyiebOysvj444/p3r17o2M3bdrE0KFDCQaD9OrVi82bN+NwOCJaR0RE\nWpdjf4bn5OTQrl27FqxIREREGlNSUkJubm64nZWVRY8ePVqwIhEREYmEfgcXERFpfQKlZRz840sc\nfuMTCAajNq9ht4VDnI6GOh0Jejq+L66NM2pri4hEg1ldjW99EZ78glBQVN5a/EW7YrqmkeDAftaQ\nUFhU1nAcY4Zh6dIxpmvKmUu/g38/mIEA3tUbcS3IxT0/F8/yddDE11s2xNK1I87JmSTkZOHMzsTa\nrVPU5pboMU0T/9adoZCoxfm4v15BsOL4D9FuDkvPbiRMGoMzOwPnpAydCyIxop/fIiIip6e1a9eS\nnp5euyvdNM21LVWPYRidCQUvta3V/WvTNP9Uz/hewBKgf63uR0zTfCiKNSUCFcA3wCPAPLORIB3D\nMDoC/wQya3WXASmmaR6MVm0i0aC4fxEREeDBBx8Mh0JMmzYtolCo999/n7vuuosjjw0Nw+Cyyy4j\nOzubNm3asG7dOt544w3KysoA+Pzzz7nxxht5//33iYuLi1rt/fv3rxMaEYni4mLc7qOfNDRlypQG\nxweDQX74wx/WCSvp2LEjN910E8OGDaOiooJFixbx6aefYpomPp+PO++8k65du3L11Vc3qbZ+/fpF\nfH9OJhwhJSUl4rEWiyWicYWFhVxxxRWUlpaG+0aPHs3VV19N9+7d2bFjB7NmzWLz5s3h8ZdccgnL\nli2LOHzHbreTkZHB8OHDSUlJoUOHDlgsFg4cOMDKlSuZO3cuFRUVAOzevZsLLriAJUuWMHLkyEbn\nPhXncseOHRk7dixDhgyhX79+tGvXDr/fT0lJCd9++y1ffvll+Hvw22+/ZfLkyeTl5dGmTZuI5gfo\n1q0bbdu2bXxgTT0N8Xq9x4WVDB06lEmTJpGSkkKXLl2oqKhg+fLlfPDBB+GAoJ07d3LxxRczb948\nxo0bV+/88fHxTToXj9iyZUv4usVi4b/+678iPjYW536stZZ9trbf/va3PPzww+G21WplwoQJZGdn\nk5SUhNVqZf/+/Xz33XcsXLgworA4iP0+63a7ufLKK+uEQvXs2ZObbrqJlJQUSktL+fzzz1m8eDEQ\n+qPP9ddfz/z58xs8l08kmudau3btmvy94vF42L17d7g9dOjQekOhaovVPvvOO+9w++23U/u5pCFD\nhnDFFVeQkpKC1Wpl165dfPnll3z99dfhMa+//jrx8fG89NJLEd3vWO2z99xzz3GhUJMnT+a8886j\nZ8+e+P1+tmzZwkcffcSmTZsA8Pv93HPPPbRv356bbrrphPPGep89kWg/xjh8+DA5OTls3Lgx3Neh\nQweuvfZaRo4cic1mo7CwkPfee49t27YBkJuby6WXXsqiRYsa/bcfNGgQV111FbNnz2b37t08//zz\n3HvvvRHVLyIiIiIiIiIiIiIiIiLSkkx/NeWvzuHQ4y8TLI/sg7eqE53Y+yRh697laMDTkeCnrh2P\nXu/SASMx4aQ/UE5EpDUwrFbsw1OxD0+l/dSrAKjefwjv8rV48mrColZtwHR5oram6fLgWboKz9JV\n4b745N7YM9NCYVEZ6diGJmM08TXJInJmqS7eh2tBXigManE+wUOHozd5vBXH2SNIyMkiIScLW1oK\nRoxe7yvRYxgGtpS+2FL60v7WqzGrq/Gu3IBrcT7uhfl48gugunmBYYHifVS8/TkVb38OgC0tBeek\nDBKyM3GMG0lcgj5UU0RERESkFbmfuqFQi4HH6htsmuZuwzB+AnxZq/tewzCeMU2ztL7jmsgHXGaa\n5qeRHmCa5iHDMP4T2AQceZNXB2AK8GK9B4q0AKORoDORU8owjDSg4Ei7oKCAtLS0FqxIRFqD2i/g\nePXVV7n55pujOv/atWsZPnw4pmnSpk0biouLG00837t3LwMHDgyHFLRr144PP/yQc889t864Q4cO\nceWVV9YJenj22We56667onofmsLr9dKzZ08OHgwFlrZt25atW7c2GFD07LPPcvfdd4fbEyZM4OOP\nPz4uXGf+/PlcddVVHD4c+gNQYmIiW7ZsoVu3bvXOvXDhQnJycsLtoqIi+vfvfzJ37YRmzJjB1KlT\nw+1YPPbJysoiLy8PCJ2vjz32GL/85S/rjAkGg9x7770888wz4b5rr72Wd999t8G57733Xi699FIm\nTZqEzWard1xZWRn33HMPb775ZrgvMzOzzqfan0gsz+X169fz7rvvcsUVV3DWWWc1+GKsTZs28YMf\n/IAVK1aE+375y1/y+OOPN1h/rPaHVatWMWrUKLp3785tt93GzTffXG84TWlpKbfccgsff/xxuG/g\nwIEUFBREFDIXqfz8fDIzj4YPX3bZZXzyySf1jj8V534stcZ99ti98KKLLuLZZ5+t99wwTZOlS5dS\nUFDA7bff3qS5o7nPQuj7afr06eH2lClTePPNN48Lv5k5cyY333wzfr8fgD59+rBp06YGQ3Ja27k2\nffr0Onvw9OnT+Z//+Z96x8dyn62qqmLAgAHs27cPCO1Z06dP59577z3hnjhv3jyuueaa8P8vwJIl\nSzjnnHOA4z+lpWfPnnz22Wcx22dzc3MZO3Zs+P+0Q4cOzJ49+7jvQwj9vz/xxBP86le/Cvd16tSJ\nbdu2nTC071Tss7F+jHHjjTfy1ltvhdvnnnsu77zzznGPqXw+H/fddx9//etfw3233347L7zwQqNr\nfPvtt4wfPx4IBSBu3779pIIxRUSkZemT1kRERE4/JSUldX7nz8rKokePHi1YkYiIiERCv4OLiIi0\nDq5F+Rx44Gn8G7dFNL460cne/zyHQ5NGkHPeefr5LSJSw6yuxrd2C578tXjyC/DkFVC9vSSmaxoJ\nTuyjh4aCojLTcWSkYenUPqZryulJv4OfOYJuL55vV+FakItrYR7+DUVRnT8+pQ8JOVk4czJxjh9F\nXGJCVOeXlhesdOFeugr3onxci/Ii/j0gYrZ4HJnpJGRn4MzOwD5yMEYr+RBkkdONfn6LiIicntau\nXUt6enrtrnTTNNe2RC2GYcQBe4CutbrPNU1zQT2H1D52MTCxVtddpmk+H+USm8wwjGeB2m9GnW2a\n5jUtVY/IiShWW0REvveefPLJcODBD37wg4ie1Hr00UfDYSUAL7zwwglDEjp27MhHH31EUlJSnWOr\nqqqiUPnJmTNnTjgUCmDy5MkNBmFUVVXx6KOPhttJSUknDCuBUCDC3//+93C7srKyzrFnovfffz8c\nCgVw2223HRcKBRAXF8fTTz/NRRddVOfY/Pz8Bud/6qmnOP/88xv8P4JQWMfrr7/OeeedF+7Ly8tj\n9erVDR4Xy3N56NChPPTQQ4waNarRT+gbNGgQ8+bNo2vXo78Pvvrqq1RXVzd4XKwkJiby2GOPsXXr\nVh599NF6w0oAOnfuzOzZs5k0aVK4b/PmzbzzzjtRrenll1+u0/7JT34S1flbm9a2zxYVFdUJvLnh\nhhv49NNPGzw3DMPgnHPOaTQUKtb77K5du/jb3/4WbqenpzNr1qwThsv88Ic/5JFHHgm3d+7cybPP\nPtvg/K1N7e+V+Ph4fvSjHzU4Ppb77GeffRYOhQK4++67mTZtWr174gUXXMBLL71Up++NN96od/7B\ngwfHdJ997bXX6gR9vfzyyyf8PoTQ+X7//ffXCWU7ePAgn3564qD11rjPNsW6deuYOXNmuD1o0CA+\n+eSTEwZt2mw2nnnmGa655uhzgi+99BIbNmxodJ1x48aFn7zdt29fnWAyEREREREREREREREREZHW\nxL+tmD0//j9Krrk3sjeDWyw4f3Q5m35/K4cmnwVxelm7iEhthtWKfeRg2t96Nd2ff5B++e/Sb+1H\nJL32ezrc80McY0diOBp+zVNTmS43niUrKPvLG+y54VdsG3wZO8b+kH13/57y1z7Cu3YzZiAQ1TVF\n5NQyTRPfhiLKnn+b4munsW3QJZRcdx/lL7wblVCouLZtaHPpJLpMv4++y9+l77KZdPnjL2hz4TkK\nhTpDxSUm0ObC8XT5/c/ou+QN+q35kG5/e4DEay/E0q1T8xfw+fF8s5KDf3iR3RfdzrYhl7Nn6m8o\nnzEHf9Hu5s8vIiIiIiJNMZ66oVBbgYURHvvyMe3/jEZBUfD1Me2+LVKFSAOsLV2AiEgslJeXs3z5\ncjZu3Eh5eTnBYJCEhAR69OjBwIEDGT58eKNv/m/ImjVr+O6779i9ezdOp5Pk5GTOPfdcEhKi80R1\nfn4+GzdupKSkBNM0mTBhAuPGjWvwmOrqav7973+zefNm9u7di9VqJSkpiXHjxpGcnHxSdQQCAdau\nXcv69espKSmhqqqKxMREunTpwpgxYxgyZMhJzXtEMBhkyZIlbNiwgYMHD9K9e3dSUlKYMGECcafo\nRR4HDx7krbfeCrdvueWWRo+pqKioE9qQlZXFD37wg3rHd+zYkYceeog777wTgD179vD2229z6623\nNqPyk3ds4MT555/f4PiZM2eyd+/ecPvBBx88YVjJEddffz1/+ctf+Pe//x1e749//COJiYnNqLr1\neuqpp8LXHQ4Hf/zjHxsdP2zYMCD0h7Wnn366wdCPpjAMg5/97Gd89dVX4b7c3FxGjhx5wvGt7Vzu\n1KkTN954Y/jf9MCBAxQVFZGamhqV+Zti4MCB3H///RGPt1qt/OlPf2L8+PHhvrlz5zYaSBMpl8vF\nrFmzwu2kpCQuvfTSqMzdGrW2cxNg2rRp4bCpAQMG8OKLL2KJ0qfNxHqfff755/F4POH2448/Tnx8\nfL3z33ffffztb39j9+7QH0uffvpp/ud//qdJ96mlfPPNN3XCdq644oo6QUjN1dR9dvny5XXad9xx\nR6NrXHPNNXTt2pX9+/cDsGrVqmZUXFdT99na9Xfr1o2rrrqq0TXuvPNOnnvuuXB71apVXH/99ceN\na237bFO98cYbdUKzHnnkkUZ/F3j88cf54IMPCAaDBAIBnnzySf7xj380utbUqVPD34PPPPPMGR8M\nKCIiIiIiIiIiIiIiIiKnl2Cli0NPv0n58+9gen0RHeOcNIbOv/sZ3l5dCC5o9IPERUSkhrVbJ6yX\nTKLNJaEPWDP91XjXbsabV4Anfy2evAKqd+6J6pr+LTvxb9lJxTtfAGAkJuAYPRRHRjr2zHQcGWlY\nOrSN6poiEl2Bg+W4F+XjWpCLa2EegZL90ZvcMLCPGkJCThbOnCwcY4ZhWPV2xe8za1IX2l53MW2v\nuzgcROZelI97UR7upasxXe5mzR8sq6Bq7iKq5i4KrdevB85JGSRkZ+KcOBpLp/bRuBsiIiIiInJi\nx76pdZ5Z+w1WDZt3THuyYRhtTNOsikJdzXHomLZ+qZBWR8+0iMgZZevWrTzwwAN8+OGHeL3eesfZ\n7Xays7N54IEHmDRp0nG3b9u2rU6Y0oIFC5g8eTJffvkl999/PytXrjzumMTERO644w4eeeQRnE5n\ng3XOmDGDqVOnhttHHvO88MILPPHEE2zdurXO+B//+Mf1BkPt27ePhx9+mJkzZ1JWVnbCMaNGjeJP\nf/oTF154YYN1QSiM44MPPmD27NksWrSIw4cP1zu2T58+TJs2jbvuuqvJQVsvv/wyDz74IMXFxcfd\n1rt3b+6//37uueeeJs15MmbNmhU+V3r37s3YsWMbPebzzz+vc37ddtttjR5zww03MG3aNNzu0JPY\nH374YYsEQ23btq1OmMWgQYPo169fg8d8+OGH4etOp5Mbb7yx0XVuu+22cGCJx+Phiy++4JprrjnJ\nqluvPXv2sGzZsnB7ypQpdOrU8KdaDB06lAkTJrBkyRIgFGrh9/sbDGlpisGDB9dpHwkWOZHWeC6f\nqP6WCIY6GWPHjqVNmzbh8KAtW7ZEbe7333+f8vLycPvHP/4x1jP4j6at7dzcsWMHH3/8cbj90EMP\nNfqzvilivc/Wnr9v375cdNFFDc5ttVqZOnUqv/vd7wDYuXMn+fn5ZGRkNFpXS3v55brB4bEI0GnK\nPltaWlqnPXDgwEbnNwyDlJSU8LwHDx48iSrr15R9tnb9KSkpGIbR6PzHzhXN+mO5zzbVglovTI6P\nj+fKK69s9Jjk5GQyMzPD37tz5szh+eefbzRk7pprrgkHQ61Zs4YVK1YwevToZlQvIiIiIiIiIiIi\nIiIiItJ8pmlSOXsepQ8/T2DPgYiOsfbrQeeH76bNJRMxDANvA69PFBGRxhnxVhxnDcFx1hDa3xZ6\n/Vj1ngOhkKj8Arx5a/Gu3hhxcF8kzEoX7sXLcS8++qFz8an9cGSk4chMw56Rjm1wf4xT9CHBInI8\ns7oaT/463AtycS3MxbtyA0T8Pt3GWXp0JSEnKxQGNWmMgnikXoZhYB86APvQAXS4478wfX48+WtD\nQWWL8kLnZjDYrDWqt5dQ8cYnVLzxSSiobMQgnNkZOLMzcGQNJ85hj9K9ERERERER4Kxj2ksjPdA0\nzWLDMLYB/Wu6bMAwIC8qlZ28Xse0S084SqQFnbnvJheR75358+dz+eWX43K5Gh3r9Xr517/+RWZm\n5gmDoU7k6aefZtq0aQTredKxsrKS6dOn88UXXzB//ny6du0ace3V1dVce+21zJkzJ+JjAD755BNu\nuOEGKioqGhy3cuVKLrroIu69916efPLJBsfOnj27TmhVQ3bu3Mm9997Le++9x5w5cyK6z4FAgBtv\nvJG333673jG7du3iZz/7GUuWLGHWrFkR1XKyZs6cGb5+xRVXRBR48Omnn9ZpNxawAdC2bVvGjh0b\nDhH48ssv8Xg8OByOJlbcPK+88gq1w1cvuOCCBsd7PJ46QVLjxo2jbdvGP9Xn2Hnnzp17RgZDff75\n53X2hEjOBQj9+xwJhiorK+Obb75h8uTJUanp2DC3zp071zu2NZ7LTam/tTEMo05gyZHLaHjppZfq\ntFsiWO5Uam3n5iuvvBL+Xk9ISODqq69u9pxHxHqfLSoqYv369eH2+eefT1wEL7i54IILwsFQR+Zv\n7cFQFRUVvPvuu+F2nz59IgrFbKqm7FPHhgVWVVVFFKZZe//o1q1bEyts2MnWH+meduy4aNYfy322\nqYqKisLXU1NTI95rRowYEQ6G2r9/P8uWLeOcc85p8Ji+ffsyevRoVqxYAcBbb72lYCgRERERERER\nERERERERaVHe1Rs58Ou/4MkriGi8keCg489vov1d1+mN2SIiMWZN6kLiZdkkXpYNgOnz4y0oxJO3\nFk9eAd78Aqp374vqmv7C7fgLt1Mx6zMA4tq2wT5mWE1YVDr2McOwtG/8dXEicvL8O0pwLcjFvSAX\n9+LlBCui9/o6w2HDMXYkCedmkZBzNvGD+0f0vguRYxm2eJzjz8I5/iw6/fonBMorcC9ZiXtRHu5F\n+fi37mreAqaJd/VGvKs3UvbMW6Fz9+wRODLSsI8ein3UMKxdO0bnzoiIiIiIfD8NPaa9ronHr+No\nMNSR+Vo6GGriMe1NLVKFSAMUDCUiZ4R9+/Zx9dVX1wmFGj9+PDk5OfTt2xebzUZFRQXbt29n5cqV\nLFmyBJ8v8k8++eqrr/jDH/5AMBikc+fOXHfddaSnpxMMBlm9ejXvvfceZWVlABQUFHDRRRexdOnS\niN8gft9994VDodLT07n88svp378/Pp+P9evXY7cf/0KImTNn8qMf/YhAIBDuO/vss7nwwgvp06cP\nfr+fNWvW8O6773Lw4EEAnnrqKaxWK48//nhEdXXq1IkJEyYwatQounXrhtPppLS0lPz8fD7++GPc\nbjcAS5cu5brrruPLL79sNGzi7rvvrhMKFR8fz+WXX86ECRNo27YtRUVFvPfeexQWFvLuu+8ydOix\njxGjp7S0lGXLloXb5557bkTHrV69Ony9V69e9OnTJ6Ljxo8fHw4s8Xq9bNq0iREjRjSh4uYJBoPM\nmDEj3HY4HEyYMKHBYzZs2FDne2XcuHERrdW3b1969erF7t27Afjuu++aXvBpoPa5AJH/+4wfP75O\n+7vvvotaMNRnn31Wp93Q/3FrPJdr19+tWzcGDRoUlXlPhaqqKvbv3x9uJyUlRWXeTZs28fXXX4fb\nkyZNIjU1NSpzt1at7dycN29e+HpmZiaJiYnNnvOIWO+zJ7tPZWVlYbVaqa6ubnD+1uTtt9+uExQ0\nderUiEKwmqop++yx+/1XX33VaFDinj17WLfu6HNikYaYRqop++z48ePJzc0FYO3atezdu5fu3bs3\nOH/toDOIbv2x2mdPxqFDh8LXO3aM/EUCx45dtWpVo8FQEHqceiQYau7cufz5z3+OeE0RERERERER\nERERERERkWip3n+Ig7//OxUzP4NaH1DYkMQpF9D5wTuw9ozuByOJiEhkDFs8jtHDcIweBrdfC0B1\nyX48eQV48tfiyV+Ld/VG8Pmjtmawogr3wjzcC4++ry9+cP9QUFRGOo7MNOJT+2HE4PVdImcK019N\n4GA5gYPlBKWnnCsAACAASURBVA+WEzhQRuBgGYHSMoKlof5AaRmB0nIC+w8S2Fsa1fXjhySTkJNF\nQk4WjrEjiXMq3FOiz9K+LYmXTiLx0tBrTf0794R+fizOx7V4OcGD5c2a3/T4cC/Kx70oP9xn7dsD\n+6ihOEYPxT5qKPaRg4lLOLUf+C4iIiIicjoyDMMJ9D2me2cTpzl2/OCTr6j5DMNoBxz7Zr/PTjRW\npCUpGEpEzgjPPfcc5eWhJ/wcDgcffvghF198cb3jDx8+zNtvv43VGtk2eCQU6j/+4z9488036dSp\nU53bH330Ua6//noWLlwIwMqVK/n973/Po48+GtH8Tz/9NFarleeee46f/OQnjX56wvr167ntttvC\noVBJSUm8+eabnHfeeceN/f3vf8+Pf/xj5s6dC8D06dO59NJLyc7Ornf+7OxsfvnLX3LhhRcSHx9/\nwjH79+/n1ltv5ZNPPgFgwYIFvPbaa0ydOrXeeb/88kteeOGFcLtfv37MmTOHs846q864hx9+mAcf\nfJA//vGPEf8bnox58+YRDAbD7YkTjw31PF4wGGTjxo3h9sCBAyNeLyUlpU573bp1pzQY6l//+hc7\ndx59zHzOOefgdDobPGb9+vV12k29v0cCSzZu3EgwGIwooOP//u//WLduHdu3b6eqqooOHTqQlJTE\nuHHjuOiii7jyyiuxWCwR13GsW2+9lW+//Zbdu3fj8Xjo2LEjvXr14pxzzuGyyy7jwgsvjHiu2v8+\nFouF5OTkiI470bkQDd9++y1PPPFEuH3xxReTlpZ2wrGt8Vx+5plnwvsowLRp05r0aTJvvfUWr7zy\nChs2bKCsrIzExES6dOnCqFGjyMnJ4Yc//CHt2rVrdp31+fDDDzFrveAt0gCexrzyyit12j/5yU9O\nap5onvux1NrOzerqalauXBluH5kvGAzy8ccf8/rrr7Nq1SqKi4tJSEigR48eTJw4kSlTpnDBBRc0\nOn+s99mTnd/hcNCzZ0927NgBNG2faqlz7eWXXw5fj4uL45Zbbon6Gk3ZZwEuvfRSkpOTKSoqAuA3\nv/kN5513Xr1BQsFgkHvuuSf8GK9NmzbceeedUau/qfvsHXfcwbPPPovf7ycQCPDzn/+cWbNm1XtM\naWkpDzzwQLg9cuTIiL4PItXcfTaajzGcTid+f+jFcEfCUiNx7NhIv7cmTZrE9OnTgVBg4LZt2+jf\nv3/E64qIiIiIiIiIiIiIiIiINIfp81P+8mwOPTGDYEVV4wcAthGD6PKHn+M8+9S9Rk5ERCJj7dGV\nxCtySLwiBwDT68O7phBP3ho8eaGwqEDJ/kZmaRr/xm34N26j4q1PAYhrn4h99DAcmemhrzHDiGvb\nJqprirQWpmkSrKiqCXQqOxroVFoWCn2quR44WE6wJgAqWF55SmuM69iOhOwMnDVhUNYeXU/p+iIA\n8X2SiL/pctrddDlmMIivYDOuRXm4F+XjWfYdptfX+CSNqN5RQvWOEqo+mh/qsFiwDUnGPnoojlFD\nsY8eim1IMkYz3rMiIiIiInKG6gLUflOZH9jXxDl2H9Nu6U+U+A2QWKt9AJjbQrWI1EvBUNKqVVZW\ncvjw4ZYuQ04D8+bNC1+/5ZZbGD9+fKPnzvXXXw9wwnEVFRV12sFgkBEjRjBjxgysVutxxzidTt58\n803OPfdcNm3aBMDjjz/O1KlT6dKly3Hzn+jN448//jjXXXfdcWufyO23347L5QKgffv2fPbZZ6Sk\npJzwvlitVmbMmMGFF17IihUrME2TX//613zxxRcnnPuSSy7h6quvDtdZ3xvd7XY7r776KpdddhnL\nli0D4C9/+QtTpkypt+5p06aFrzudTt577z0GDBhwwrr/93//lz179vDqq6/W6Xe73VHbFxYvXhy+\nnpSUhMPhaHTu4uJiPB5PuN2jR4+I6+ncuXOd9rp1607pHvf888/XadcOaqiqOvGLdY4NK+jcuXPE\nNffo0SN83eVyUVhYWKevvrVnzZpVp71//37279/PmjVr+Mc//kH//v35wx/+wKWXXhpRHceew8eG\n7Ozdu5e9e/eyYsUK/vrXv5Kens6f//xn/j979x3X1PX/D/x1M0gIhI2AoDIcKA5AwS1VUavWap0d\n1lZr60c7tOPb+uuw1k+X/XTZ1mpbZ62zto5qq2hV6qwDHAwVUUAFlT2zc39/BK5JIOQGEkB9Px8P\nHuQczj33JBzOvSHJ6/bp08dq31euXOFuBwQEWHwczbm5uUEgEHDBZJcvX27QXNDpdCgtLUVqaiq2\nbduGn3/+mQupCA4Oxtdff22x35Ywl9VqNfLz85GUlIR169Zh79693M9GjBiBF154waZ+9+/fb1Iu\nLi5GcXExMjIysGXLFsyfPx9z587Fq6++yiukzBY6nQ6fffaZSd2oUaMa/Teu1WqxZs0aruzu7o7h\nw4fz6teRc9+RWsLcNJaenm7yWPr4+ODChQv4z3/+g2PHjpm0ValUKC4uRlpaGn744Qf07dsXP/74\nI9q2NQ/CNh2j+X2w5zp78eJFk7Knpyfv/gMDA7lgqKtXr1rcriXMtbS0NPz7779c+aGHHrLpvlrS\nmHW2xvLlyzFu3DgoFApcunQJPXv2xIIFCzBixAi4uBjeyKTVanHixAl8+umnOHz4MABDuNU333wD\nd3d3bh/mxxlrx53GrrMBAQFYuHAhF/a0efNm3Lp1C/Pnz0dsbCwXslpRUYE9e/Zg0aJFyM7OBmCY\nyz/99BOvc1s+GrLOOvIcw/hv9dq1a7znWs1zhRqXLl3ita158N2BAwcwcaJ5ID0hhJCWytZjOCGE\nEEKaX81rMMZles2SEEIIafnoOTghhBDiGOrE06j48Cfort7g1Z7xcofLG89AOjEeGqEQGhte16Xj\nNyGENKOObSDo2Aayp0ZBBkCXmw9N8kVok9MN31MzAY3WbrvTl1ZAcfAkFAdPGioYBsIObSGOCoc4\nujNEUeEQhgbZdIFR0nQe9GM4q9ZAX1wGtrgM+sJSw+0iw3d9cRnYQqPb1fX2/PuxC6EAoqjOcBoQ\nBadB0RB1bc8F4VQBAL0uQlqCYH8Ig8fA9ZkxcFGqoDmTBvWRZGiOnoU27SpgdLHRBtPpoE69AnXq\nFZSv+8NQJ5NC3LU9RN07QtyjI0Q9OkHQ2peOSeSe96AfvwkhhJB7VUVFreDgsAacm+azLGtriJM5\nV7NyFcvafFJufgJi3meTYRimH4DXzKo/ZFm2qq72hDQnCoYiLdrJkydx69at5h4GuQdkZWVxt3U6\nHQ4ePNio/m7fvl2rbsqUKTh+/Hi9202ePBkffvghAMMH8f/73/9i3Lhxtdqlp6eblENCQhASEsJr\n3JmZmVxgAAA88cQTyMnJ4YIbLHn88ceRlJQEADh+/DjWrFmDdu3aWd2fNaNHj+aCoc6fP49t27bB\nw8OjVruMjAxcuHCBK48aNQq5ubnIzc212PfQoUPx66+/mpy0pqenN/r3WyMxMZG77efnx6vf69ev\nm5QrKip4jyczM9OknJaWZrf7Yk1paSn+/PNPrtymTRuEh4dz5ZMnT9a5XWpqqkn5ypUrXJiRNeZP\nNv7++28EBgbWamc8L2q4urrC2dkZKpUKFRUVJvvMysrCk08+iYkTJ2Lq1KlWx2H+98YwDFxdXSGV\nSqFQKGqNMyUlBaNGjcLzzz+Phx9+uN6+CwsLudsikcim36dEIuHCVHJzc3ltW1ZWhmnTptXbRiAQ\nYNCgQZgxYwYuXrxYKxSmRnPM5WPHjtUK9TDn7OyMcePGYeLEiSbhbXxJpVK4urpCp9OhvLwcWu3d\nF1FLS0uxaNEi7NixA2+//TYkEonN/VuydetWk7kcGxuLoqKiRv+N//vvvybHpH79+nFrrjWOnPuO\n1NLWWfM1KiUlBd999x3y8+9eDU0mk0Emk6G0tJQLDQIMx9sBAwZg0aJFFo+5jl5nzR+TlJQUk/Om\n+hj//Wg0GiQkJEAsFtdq1xLm2sqVK03KPXv2bNDv3p7rrLGFCxdiyZIlyM3NxbVr1zB9+nQIBAJ4\neHhAIBDUmjutW7fGrFmz4O3tXe/9MD9+O2KdjYiIwEsvvYTVq1ejsrISiYmJSExMhJOTE9zd3aHT\n6VBSUmIyb3v06IHZs2dbPdezRUPWWUeeY7Ru3RrXrl0DYAgiXLFiRa3wJnNqtRpHjhwxqbtx4wbv\nuSqTybgPJu/cubNWGB4hhJB7h6Xn4IQQQghpuVJSUpp7CIQQQghpAHoOTgghhDSO0+1i+G85BLdz\nmdYbA2CFAhQOicKdMX2hlzkBDXjvDx2/CSGkhZEB6N8B6N8BjEYLafZtyDJzuS9xqR3DBFgWusvZ\n0F3OhnKz4QJ4WpkUitAAVLVvjaqw1lCEBEAvdbLfPond3NPHcD0LgUIFUYUCwvIqiCoUEJUrIKyo\ngpC7raiuN9QJFermHnWDqH3cUBERgvKIYFSGt4VeVv1e6qJc4B/7vNePEIeLDQFiQyAsr4LLxRy4\npmXDNS0bToV2DDOrUkJzMgWakymouXyuxk0GRUgAFCH+UIQEoCrYH3oXqf32SUgzuKeP34QQQsgD\npI78gB0N6OYDAAsbORTzECdlA/pQmJWbJRiKYZhWADYBEBpVnwLwXXOMhxBrKBiKEHJfcHK6+wLP\nxYsXMXLkSLv2HxQUhIiICKvtevbsCR8fHxQUFAAATp06VWcwlLnBgwfzTo43/gC/i4sL4uPjeW3X\nsWNHBAUF4cYNw1W7zp07Z5dgqC5dukAsFnNhBhkZGYiJianV7tSpUybl4cOHW+3b1dUV/fv3x969\nexs9zrrk5eVxt318fHhto1Sanqcazz1rzNvWhAI1hYMHD5oEfPCdN011f+VyOQYNGoRevXqhffv2\nkMvl3M8qKytx4cIF7NixwyR8ZOvWrfDw8MAjjzxidSze3t6Ii4tDdHQ0wsLC4OzszP2srKwMZ86c\nwfbt25GdnQ3AEDD3448/wsPDA3369LHYr/HjY8tjU9O+5jGx11yQy+V4+umnMXToUAiFwnrbtsS5\n3LZtWzz//PPo1q0b721EIhF69+6NPn36IDw8HL6+vtzPNBoNMjIysHfvXvzzzz+oCR8+d+4cvvrq\nK7z11lt2uWrH+fPnsWHDBq4sk8kwc+bMRvcLAPv27TMp8/3breGoue9ILW1uml8FY9u2bdx6OmjQ\nIEycOBFt27YFYAhSOnv2LH7++WfuHy6lpaVYvHgxvvjiC5PHv4aj76+9+68rGApo3rmm0Whw6NAh\nruzm5obY2NhG9WmJLeussU6dOuHbb7/F7t27sWHDBiiVSuj1ehQVFZm0YxgGQ4YMwYwZM+Di4mLv\n4TdonQUMa0/fvn3x888/IyEhASzLQq1WmwSkAYZwvscffxyPPvooBAKB3cbdmHXWUecYUVFROHr0\nKFfevn07Xn/99XrHkpCQUGtNsWWd8vHx4dYW4/NYQgghhBBCCCGEEEIIIYQQQgixJ4FSDd9dx+G9\n7wwEOn4XtyqPCMatKYOhak0XuCGEkPsVKxZB0T4QivaBKAQAloW4qAyyzDw4VwdFOV+/A4bnsYMP\nUZUS8pRrkKcYLuDGMgyUgT5Q+3qAdRJB7yQCKxZB7yQ23K6u0zuJuXquTiwCW93O0FYMvVgECO33\nPifSMjAaLYTlCogqqqq/K2qXjUKeRBUKMHq2uYftEDqJGJWd2qCiazAqIkKgbuUB2OG904S0BDq5\nDGUx4SiLCQdYFk53SuCalg2XtGy4XsyBUKGy6/7EZVUQn8s0Cc5V+XkaQqKqw6KUbXzBiunjuoQQ\nQggh5L5lnozakNRk8xP12h+4dDCGYSQAtgFoY1RdDuBJlmV1TT0eQvigZ5qEkPtCWFgYsrKyAACJ\niYlo3bo1xo4dC6nUPunrUVFRvNoxDIPIyEjs378fAJCZmQm9Xm/1g/Hh4eG8x5KWlsbd7tGjB0Qi\n/kt5hw4duGCoy5cv896uPkKhEG5ubigsLASAWgEHNTIyMrjbrVu3hp+fH6/+o6KiHBIMpdFoUFJS\nwpW9vLx4badWm56n2vL4m4dpmPflSDVzEjCMefDgwby2a4r72759e6xcudJiWImLiwv69OmD3r17\n49dffzUJhli7di169+5tEgZkLjY2Fg899JDFAA83NzcMHjwYAwcOxE8//cTNN71ej2XLlqFHjx51\nhrkA4ALRANseG8D08eE7FwQCAfz9/bmyVqtFeXk5VCrDc6Hy8nJ8//33+P333/Gf//wHkZGRFvtq\njrkslUpNxq9SqVBeXs6F7OTk5OC9995Dt27dMGfOHAQEBFjtc+XKlXB3d7c4zi5duqBLly6Ii4vD\n4sWLucfqxIkTOHbsGPr3789r7JZcv34dn332GfT6u29keOmll9CqVatG9QsY1tOkpCSuHBoairCw\nMN7bO3LuO1JLW2fNg5Vq5usTTzyBKVOmmPxMJBKhV69eiIiIwPvvv88da3Nzc7F7925MnDixVv+O\nvr9N8Xg291z7999/UV5ezpUfeughiwFW1thznTV248YNrFq1yuRvui4sy+Lvv//GyZMnMWXKFIwe\nPdqmADtHrLMAcPr0aZPAM0uUSiXWrFmDhIQEzJo1Cz169OA9dksas8468hxj0KBB+OWXX7jzycOH\nDyMiIgIPP/xwne3T09Pxyy+/1Kq3ZZ3y9vbmfgc1QbSEEEIIIYQQQgghhBBCCCGEEGI3ehYex1Ph\n9/thiEsrrbcHoPL1wK0pg1HeI5RCBggh5EHDMNB4u6PU2x2lsYb3wjNqDZyzbkOWmQvZ1Vw4Z+ZC\nXFZlv12yLJxv5MP5Rr71xjzphQIuMMoQJmUaHGUcLkUhVM1Az0JYpYSwvMoo0Mks2KlcAWFFFRcA\nJVRprPd7H1O0bYWKLsGo6BqMqrDWFFJDHgwMA7WfJ4r8PFE0OBLQ6eGcfRsul3LgnHULsqu3IC4u\nt96PjSS3iyG5XQyPE4bPeemFAijb+EIREgBFsD+qQgOg9vMCBPRciRBCCCGE3BeUZuW6P7BVP4mV\nPh2KYRgBgF8A9DOq1gF4imXZK005FkJsQf/dIS1abGwsOnfu3NzDIPcAV1dXHDhwACxruFLDxo0b\n8ccffyA+Ph5xcXHo168fOnXqxPuD9dnZ2SblESNG8A7SuXjxIhfCo1Qq0bFjR7Rp08akTW5urkl5\n0qRJvIOJjD+QHxcXx3tcAHDw4EEcPHgQgCHooL5t9Xo9Dh8+jN27d+PChQu4du0aysvLUVlZyT3O\ndfHz86uz31deeYW7HR0dzXvc7dq1w6effsqVO3fubNN9tqSwsNDkfnTt2pVXv25ubibl1q1b8x7P\npUuXTMqhoaF2uS/WnDx5kgsEA4BHHnkE8fHxOHnyJFcXGxsLFxeXWtvu2rXLpNyzZ0907NiR135r\n5lqNfv368Q5Zs2TIkCGQSqVYtWoVAEMw06lTp/C///2vUf3WiI+Px+TJk5GQkAAAKC0tRWZmJl5+\n+eU620ulUlRVGV6wlslkNv0+jdcjLy8v3tuOGTPGpMyyLDIyMrB161YsXboUFRUVuHXrFhYtWoSl\nS5fiySefrLOf5pjLgwcPxuuvv25Sp1arkZycjDVr1mDjxo1gWRYXLlzA22+/jT/++APdunXjNSY+\n+w4ODsaMGTO4ut27d+Pdd99tcJ/Z2dmYM2cOKioquLoFCxbUuo8N9cUXX5gEocyZM8dha4atc9+R\nWto6W1paWquud+/eWLZsWb3nFeHh4YiJieECefbv34/vvvuu1jaOXmcDAgJw4cIFrty/f3/ewZlr\n1641KQ8dOpT3+Yoljphr33zzjUn5nXfesSl005y91tka+/fvx//93/9BoVAAADw8PPDiiy9i5MiR\nCAkJgVgsRm5uLhITE/Hdd98hIyMD5eXlWLFiBRQKBZYuXcrNm8rKynqP345YZz/99FN88sknXLlD\nhw546aWXEBcXh9atW0Oj0eDatWv466+/sHTpUpSUlCA3NxcLFy7Et99+i6effrre/uvj6HXWWEPO\nMb788kuT48ry5ctRUFCA5557Dt26dYNYLEZmZia2bNmC5cuXQ6lUQi6XmwSZ+fr68l6nVq1aheTk\nZACATqdrkvNIQggh9mHtGE4IIYSQlic/Px8pKSlcuWvXrvVeoIAQQgghLQM9ByeEEEIaTnPuEioW\n/QDt2UvWGwNgXJwhe3EKfJ4dhyBJwy7eBNDxmxBC7ncsy0J/4zY0yRehSUqHNvkitOlXAZ3e+sZN\nRKDTAwoVhAqV43cmFoGRSsBInQBnCRiJBIxzdbm6njGqR11lrp3UbDspGInT3W0sXOjRXhp6DGcV\nSuiLyqAvKgVbbPiuLy4DW2j4ri8uA1tdpy8qA1tSDuhbznxpToyrDIyXOwRebhB4uhlue7pB4OUO\nxssNAh8PiLt1gMDHs7mHSkiLpLtdCO35y9CeuwxN9Xe2wn7hhYDhmCLLug1Z1m2ujnGVQdS9A0Q9\nOkHcvSNEPTpC6Odt1/0Swhc9ByeEEELuTenp6eZVYwFk2tiNPVK2K8zK/D6kaMrZSp+O9j2AiUZl\nFsDzLMv+0cTjIMQmFAxFWjRXV9da4QCE1GXo0KH45JNPMH/+fK6uoqIC27dvx/bt2wEYPnQ9dOhQ\nTJkyBaNHj4ZYbPnNCHK53KTcrl073nPRPARKq9XW2tbZ2fS8JSgoCCKR9SW5srISKtXdF50++eQT\nkw/q26KsrMziffrnn38we/ZspKWlNajvuvotKSnhbgcGBvJ+PENDQ03Kzs7OdlkXzIM+PDw8ePXr\n7+9vUmZZlvd4hGYvsHl5eTXJGrdx40aT8uzZs2v9487FxaXOsZgHgIhEIt5j1pu9COfv72+X+/vZ\nZ59h48aNXMDG3r178cMPPzS63xpfffUVIiIiuPK+ffvwzjvv1NnW1dWVC4bSaDQ23T+l8m6QrZub\nW6Mem169eqFXr16YNWsW4uPjcfXqVej1esybNw+DBg1Cly5dam3TkubysGHDMGzYMEybNg3jxo2D\nUqlEcXExpk+fjvPnz/MOsbFm+vTpWL58OfeP7LS0NBQVFSE4ONjmvm7evIlx48aZBP3Nnz8fH3zw\ngV3GyrIsNmzYwJWdnZ0xc+ZMh64Ztsx9R2pJcxMwBB6ae/XVV+Hu7l7vdpGRkXj00Ufx+++/AwBu\n3bqFGzdumDzGNWM0Zu911sPDw6Ts5OTEu/+aUKsaAQEBkEjMQ7ltZ8+5lp2djUOHDnHlvn37IjY2\ntrFDrKUh6ywAXLlyBdOmTeOOWe3bt8eBAwdqnS/6+vqiR48eeP755/H4449j586dAID169ejd+/e\nFoOzLB2/zTV0nd24caPJuebYsWOxcePGWueyrVu3Rv/+/fHCCy9gyJAhyMzMBMuymDdvXoODIR29\nztbF1nOM6dOnIycnBwsXLuTqtm7diq1bt9bZXiQSYc2aNZgwYQJX5+Pjw/tv0njdUSqV9FyZEELu\nYXyP4YQQQghpPpWVlSZlmUxGx29CCCHkHkTPwQkhhBDrtLcLUfThDyjf9BfvbVwnPwzv92ZB5O9j\n9/HQ8ZsQQu5D7u5AREdg6qMAAH2lAqqzF6E8nVr9lQJ9QYmVTu4TGi1YjRZseaX1to0lFkFQHR7F\nyKRgpJK7ZWcpBM41oVQ19RIwstplgVRSHUIlubuNsxR6jQYCpRqMWgNRhQLi1GsQKNTQFZVCX1gK\nXWEJdEUl0BWUGOqKDHVsUwRw3QvEIgi9PSD0dofQyx1Cbw8IvDwg9PEwlL3cIai57W34zjg1PIyT\nEALAzQ3oEAJMGAEAYPV6aDKvQ5WUDmVSOlTJ6VClZAAarZWObMNWVEFz7Bw0x85BUV0nbN0K0qjO\nkER3hjS6MySR4RC4yuy6X0L4oOfghBBCyL3B1dXVvCqTZdnUZhiKeYiTjGEYhmVZ1oY+zFMpmywY\nimGYTwDMMqt+nWXZ1U01BkIaioKhCCH3jbfeegvR0dF49913TdKra+Tn52PTpk3YtGkTQkND8e23\n32LUqFG8+jb/8Ht9zAN3Kiqsn5PwCYUCTMOVGqsmzMbc9u3bMXnyZGg0mlo/k8lkcHd3h1QqhUAg\n4Oqzs7O58AhL52/GH6JozONpL+aPuXn4hSXm//AqLi7mvU/z3595AJkjVFRUYMuWLVy5Xbt2iI+P\n5zUvgZZ5f729vREXF4c9e/YAMMy/vLw8BAQE2KX/Ll26IDw8HBcvXgQAnDhxwmJbNzc33LlzB4Bt\nj41GozH5m7DXYxMSEoKtW7eiV69e0Ov1UKlU+OSTT7Bu3bpabVvi73bEiBFYvHgx5s6dCwDIyMjA\n+vXr8dxzz9mlfwAYP368yTHi+PHjNgdD3bp1C0OGDMHVq1e5unnz5jU4qK8uiYmJuHLlCleeMGGC\n1SCixrJl7jtSS5ubdb3QMXjwYF7bDh48mAuGAoCkpKRawVCOvr919W8eFsWnf7FYbJdQKMC+c231\n6tUmAVn2XC/qYss6CwDvvvsut94zDINNmzbVCoUy5uzsjA0bNqB9+/a4desWAGDRokV4/vnn7RKS\nZ8s6q9Vq8eabb3LlgIAArF+/vt7zuLZt22Lz5s2IiYkBy7LQarVYsGAB/vjDttD0plhn69KQc4z3\n338f4eHheOONN3Djxg2L7YKDg7F27Vp06NDBpN7Hh/8bpY3Pz+sLuSWEEEIIIYQQQgghhBBCCCGE\nEGtYtQYlP/6K4i/Wgq2o+72E5iRRneHz8VxIe0VYb0wIIYRYIHBxhnP/KDj3N1xsjmVZaLNyoTyd\nAuWpVChPpUCdlgmYXTiR2EijhV5TAZQ5bhfGl1Msrf56UAk85IYwJ28PLshJ6F0T+ORuFAJlCH9i\nXGVgGKa5h03IA40RCODUoR2cOrSDfMrDAABWpYYq9QpUZ9KgTE6HKikdmszrdt+3LvcOKnPvoHJ3\nYvVgGIg7Bd8Ni4rqDKcuYWDE9NFfQgghhBDSohQAYAHUPKEVA2gF4LYNfQSale/YYVxWMQwzH8B8\ns+pFzAPnEwAAIABJREFULMt+1RT7J6Sx6NkhIeS+MmzYMAwbNgypqanYs2cP/vnnHxw7dgwFBQUm\n7a5evYpHHnkEK1aswIwZM6z2q1AorLapYX4V6TqSOBtMJjNNgPfx8WlwUEhQUFCtuvz8fEyfPp37\n0LlIJMLMmTMxceJEREdHw9PTs86+2rVrh5ycnHr35+LigrIywytLjXk87cX898J3TAEBAZBKpVAq\nlQBg9X4by87ONimHhoby3rahNm3aZBICNX36dJNQL2tCQkJMyg29v87OzvD39+e9rTWdOnXiQhsA\n4M6dO3YLhqrpvyawRKVSobS0tM6/tZCQEC68Jzc3FzqdDkKh0Gr/N27cMAkysedciIqKwsCBA5GY\naHiRYPfu3WBZttaLhy11Ls+cORPz58/n/iZ37dpl16CXTp06mZRrgr34unPnDoYMGYLLly9zdbNn\nz8ZXX9n3+d+KFStMyjNnzrRr/5bwnfuO1NLmpnkfEokErVq14rVtu3btTMrm5yOA49fZuvo3r+PT\nv72PWfaYa3q9HqtX3w3kdnV1xZQpU+w6zrrwXWeVSiW2b9/Olfv27YuePXta7d/FxQUzZszAxx9/\nDMAwbw4fPoxhw4bZZfx819kjR46YBB1Nnz6dV2Bnz5490bdvXxw7dgwAsHfvXlRVVdU6j7WkqdZZ\nSxpyjjFlyhSMGzcOO3bswL59+3Dp0iUUFhZCLpcjJCQEY8eOxbhx4yCVSmsF2EZFRfEem/H5qqPC\nUwkhhBBCCCGEEEIIIYQQQggh97/KhGMofO9baK5avviNMaGvF7zefQHyx0eCseG9Z4QQQggfDMNA\nHBIIcUgg5JNGAAD0FVVQnb0I5akUKE+nQnk6FfqiBzl2iDQlRuJkCHjycofQp/q7lzsENberw5+4\nwCdPNwpvIeQ+wUicII3uAml0F9S8q1lXUg7V2YtQJaVDmZQGVVI6dPlF9t0xy0Jz8Ro0F6+hfOOf\nhrFIneDUrSOk0Z0hie4CaVRniIJbU6gcIYQQQghpNizLKhiGyQFg/KHJtrAtGKqtWfliowdmBcMw\nLwL4xKx6Ccuy7zt634TYC/3niRByX4qIiEBERARef/11sCyLCxcuYMeOHVi1ahWysrIAGK4u8sor\nr+CRRx6xGvBgS3BIfn6+SdlSmFJDeHh4QCgUQqfTAQDeeOMNvPXWW3brf9WqVSgpKQEACAQC7Nq1\nCyNGjLC6Xc029fH09OSCoRrzeNqLXC6Hi4sLFzzFdz8CgQCdOnXCuXPnAIALBeIjMzPTpNylSxcL\nLe1n5cqV3G2BQMArCM2Y+Rgben/Dw8NtCqSyxtnZ2aRcVcXvqnWN6b+uwJIuXbpg3759AACtVous\nrCyEhYVZ7d/RcyEyMpILLCkuLkZRURG8vb1N2rTUuSyTydCxY8cGjYuPxsydwsJCxMfHIz09nat7\n7rnnsHTpUruNDzCsqb/99htX7tChA+Li4uy6D0v4zn1Hamlz08/PD97e3igsLAQASKVS3tuat60J\nuzLm6HW2rv75zCelUonc3FyL/TSWPebavn37TIK0Hn/8cbsGctaHzzp76dIlqFQqrtyrVy/e/Zu3\nTU1NtVswFN91tubnlsZUn169enHBUBqNBpcvX0ZkZKTV7Zpqna1PQ48TEokEkydPxuTJk+ttd/78\neZNybGws77EZn0PbMxCTEEIIIYQQQgghhBBCCCGEEPJgUF/JQeG736Lq7xP8NhCL4DFrEjxfewYC\nOV28hhBCSNMRuMrgPCAazgOiARje96+5egOq06lQX86CvlIBVqECq1RBr1AabhuXlWqwCiX01fWo\nfu89eQAxDASebkaBTu53A5283SH08jCEQHlX13m5g3FxpuAVQghH6CGH7KEYyB6KAWA4Jmlv3oEq\nKQ2q5HQok9KhOnsJbBW/i9XzxSrVUJ1KgepUClcn8HSDJKozpD27GL5HhUPoY7/PrBFCCCGEEMLD\nRZgGQ3UBcMqG7TvX0Z/DMAwzDcC3ZtWrALzqyP0SYm8UDEUIue8xDIPu3buje/fueOuttzBt2jRs\n3rwZAFBZWYlt27Zh1qxZ9fZx4cIF3vtLSbn7TzcXFxcEBgY2bOB1YBgGnTp1QlpaGgDgxg1+V+zi\n6++//+ZuDxs2jFcoVEFBARf4VJ9OnTohOzsbgOljZI0tbW0VHByM1NRUALY9lj169ODCEm7cuIEb\nN24gKCjI6nY1AQmAITygY8eONo7YNqmpqThx4u6beIYPH442bdrY1Ed4eDicnJygVqsBAMePH+e1\nXU5ODm7evMmVu3XrZtN+rbl92zRA1sfHp1n679Gjh0n5+PHjvIKhjOcCYP/HRyKRmJR1Fl7Qbqlz\n2Xj8lsbeUA2dO8XFxYiPjzc5HkybNg0//vij3V/8Xb9+vUmA0HPPPWfX/uvj6L8tvlra3IyMjOSO\nkWVlZdBqtRCJrD+VKioyvRqMeXAQ4Ph1tq51is+cOnnyJLRardX+G8oec23FihUm5ZkzZzZqTLbg\ns87WhE/WsCW0ysXF9A21CoV9Xyzms8429fibcp2tj6PXwQMHDnC3XV1d0adPH97bGv/Nt2vXrp6W\nhBBCCCGEEEIIIYQQQgghhBByl66sAsVfrEXpj78CWn7vxZHF94H3hy/DKcz84t2EEEJI02MYBk5h\nbeAUZtv7oGuwGm3dAVLVZb1SBba6rK/+OatQGtpV3S0b2lEIVXNiZFIIvczCnbw9qgOe7oY7CX0M\n3wUecjA83u9JCCF8MQwDcZAfxEF+cH10MACA1emgvpQFVVI6FxalTr9q92OCvrgMigP/QnHgX65O\n1C4A0qjOkER3hiS6CyTdOkIg438hZEIIIYQQQmx0FoBx+EA/AGv5bMgwTACAYKMqDYA0u42s9v4m\nwBACZfzBtC0AnmdZlnXUfglxBPrvFiHkgeLk5IRly5Zhy5YtqDlm14Qs1SchIYFX/yzLmrSNjo6G\nUChs2GAtGDx4MDfmgwcP2rVv4w+bmwdJWGL84fb69O7dm3tsMjIycO3aNYSEhFjdbs+ePbz6b4i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eLa5uXlwd/f36TP8vJytG/fHnfu3OHqOnTogEmTJiEsLAwqlQqXL1/Gtm3bkJ2dDcAQ1LF3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\n5MqxsbF2+Z8MI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iQsWrQIs2bNgsvl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\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4DPpX2KldA3IRa3zGhk9dKU/GlPYPvCxwuAr6lSqoiItLKh6kNXG1xE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1Snro0CHZ4cOHZceOHZOfOnVKqtPpBFvNli1b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\n776rnjJlSkG3bt3CbNsFQUBERITb6/X000/rk5KSMl9++eWQo0ePuu3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CggIhMzPT/soS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FxcXNyWTthRPNmck9/vj9gWvW8yGo3GFx6i5PV6Y4YoFeKc8hmDoYioIHzwwQehdUVRcMEFF+Rk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\n4P/NBsNNofwr4saHPZFnZ1OMlRERERERERE9l74BkKcRewPYKIQop2+CE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dSqWriOn+zU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\nXoV6oYzHn6o671933XXMmjWLpk2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UlpaSnZ3Nrbfeym+//Wb4Pshdfn4+AwYMYPv27fqy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\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Yn2M0Rx4rvTttzWzse4BXi28PVNgM1W3IRZe4VkUiIiIqNa2XqyNSmt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oH+aBx0m/ZA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tHq91UfHY5+z94+hxcfHiRZcEQy1cuNCu7ey+WZWSkhJcuXIFe/fuxccff4y4uDip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p7tmzJxwdHdWO37p1q3TfxMQE8+fP19jf2toaM2fOlOrIyEjs3bu3+AtWY+XK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\n/2yuA6A/gB2lsL6vRFFcqWZtIoAlgiBYAfhW4aG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31nHVeHZ92gqu5bVa9L8r4kNxsOt/SkUH8y2/sCwCq0qzb0W6fH9WQP2tDVwQFgQSybfvAJ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\nHAhc2uzEEHdfaWa3pKfjiM7Bvc1sSm5yzaDlqrAvJq1sn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     "name": "stdout",
     "output_type": "stream",
     "text": [
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c0kISbfdCecX7YmNNrV1bclmLFq5Do1q3hiD3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/7VWh89ejT5+fmt/ttYUVHBDz/8YK3HxMRgNBo9Grd9ENmnn37KZ599Rk5ODuXl5fj6+hISEkJ8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\nTMBduq5/2qyjgSXAeGCGXdu9w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DuLg4NG7cWP6xnb+zxY9Op5O3K3M+q4r9OTebzU56KtmHeHkS/FXC/vWz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cBW81VYcO15dKa+GdopPSu97v/MV/GrJdfp3AmrAYNz/qhR/zvbDICqNPgpMhSqqLBrQVDh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\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sT2nvrR82rkf6fUj55tlFY5rcdvgXOBE4BdgFUq7LMl8CPgu8DDZvan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u1bt/aGgo1q5di7Nnz2Lfvn2oUqWKXuNmzpyJ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8fLwhyuHIVv+FXhG36VNVL6RXWV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tpFUZRsYAWxoVFbgBs1TWt7KIIQSGCTaCe73Y7T6bzQ3RAXObv99PF98+bNHf6dcTgcMcsj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SFLZ0Ci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\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iRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJM2MhBmw6q3W9b6cv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d9DlN8O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\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376Ka1Xr155OGIoy+rVq23SsYYPH65xd922bdvqDx06lDx48OCge/fuCR4+fCgYMGBAkEAgQOnS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\ngw6ILV5Mai0Sx86Datcxp+0Ym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/Tpo8NpdGfYsGGYOnWqZN/s2bMLPOb69euYMmUKnJycYGNjAzc3N4waNQpTp07F\ntGnTMGrUKHTp0gVWVlbw8PDArVu3Cux38uRJCIIg3v766y+1HsOJEydUPr5bt24wMzMD8PbvStMB\nMPv27cODBw/Eum3btvD29la7z6pVqySBHv/73/8QHR2tkRk/RYrvoSX1/nnixAls3rwZAPDZZ59h\nypQpah1PJcfExAStWrUS67i4OKSkpOhwIiL1LFiwQFJv3LhR7VCodwwNDTFq1ChNjEU6FB4ejtOn\nT4t1s2bNUK9ePR1ORERERERERERERERERERERERERERERERERERE9OlhMBQRFcrV1TXP7X20fv16\n5OTkAABKlSoFDw8PjfXOyMiQ/Di6RYsWMDc3L/S4Tp06SWplITJhYWG4f/++WLu5uUFPr/C3aFX7\n5/5xf1paWqG981tnY2Oj0nGaFhYWJnn+hw4dqpM5FAUEBCAmJgYAIAgC3N3ddTyR7syaNQvly5cX\n62PHjiE4OFjpeg8PDyxduhT37t0rsG92djb27duHpk2bYsOGDUrXubm5wcHBQazXrVunxvTA2rVr\nxe2qVasWGDpmamoquX/r1q1qnaswK1askNRz586FIAhq97GxscGYMWPEOjMzE76+vgUeoxiOVa1a\nNbXP+TFTfA8tiffPtLQ0MVhFEAT4+/vD0NBQ5eM/RB/69Ve6dGlJrep1okvVqlWTPO/0aTp9+jRu\n3Lgh1u3atUOHDh20dj5XV1fJdRceHq61c1HRrV+/HnK5XKw9PT11OA0RERERERERERERERERERER\nEREREREREREREdGnicFQRPTROHnypLjdpEmTPCENxfHgwQNkZmaKdYsWLVQ6zs7ODra2tmKtLCzn\n1q1bklrV/k2bNoWBgUGh/WvXrg1ra2uxVgxZKojiusqVK8PR0VGl4zTt1KlTkh+nt2/fXidzKFIM\n4XJyctJZaNb7wMTEBF5eXpJ9x48fL/Q4QRDQqFEjeHl5Yfny5Vi/fj38/PwwefJk1K9fX1yXmZkJ\nT09PpdetIAgYOXKkWB88eBBxcXEqzf7y5UscOHBArP/73/8WGsqmGJhx8uRJyXtDcSQkJODixYti\n7ejoiLZt2xa534gRIyRhL8qC46hwLVu2FLf/+ecfvHnzptBjcl+vbdq0Ufl806dPF8NSPD090bp1\na5WPJd0ICwsTt/X09CRheUTvs9yfDe9C6ejTlZOTg40bN4q1mZkZ+vfvr7uBiIiIiIiIiIiIiIiI\niIiIiIiIiIiIiIiIiIiIPlEMhiKij0JWVhZu3Lgh1g0aNADw9ofN+/fvh4eHBxwcHGBiYoKyZcvC\nyckJXl5ekjCpgty/f19S16hRQ+XZFMOUHj58iJycHI31NzExQeXKlcX63r17+a7T09PDt99+K9ZH\njx7FkSNHCux98OBBHD16VKwnTZokCZkpyKtXrzB48GDUrFkTpUuXhomJCWxtbdGyZUtMmTIFgYGB\nKvV55/Lly+K2hYUFqlWrBuDt4500aRLq168PS0tLmJmZwd7eHj169ICfnx/S0tLUOo86FIOP1Al8\n+Vh16dJFUp89e1bpWisrK8ycORNhYWG4fv06fv/9d3z//fcYMWIEvL29sWTJEgQHB2PXrl0wNzcH\n8PZveeTIkfn+/QBvQ5AMDQ0BADKZDJs2bVJp7s2bN4vBTnp6evjvf/9b6DGKYU0pKSmSMKfiuHDh\ngiQArXPnzir/zeWnWrVqqFWrlljfvn0bSUlJxZrxUzVmzBhxOz4+HjNmzChwfVhYGJYsWSLWPXr0\nQO3atVU6V1BQEHx8fAAAFSpUwOLFi4swMZWkiIgIXLt2TaybNm0KfX19HU5EmrZ161a0bdsWNjY2\nMDIyQtmyZVGrVi30798fq1evRnJysq5HLLJz585J6o4dO+poEsrt+PHj6NSpEypVqgRjY2OUKVMG\nDg4OcHd3xy+//IIXL15o5bwnTpzAs2fPxLp///7i9zEiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIi\nIiIqOQyGIlLD2bNnJTd1ubq6Fr5IEKQ3LSju43gfPXz4EOnp6WJdpUoVhIeHw9XVFb169cK+ffsQ\nFhaGN2/eIDExEffu3YO/vz86d+6MNm3a4OnTpwX2f/LkiaS2s7NTeTbFta9fv0ZMTIzW+ufuo+jH\nH39E06ZNAQByuWWpHxAAACAASURBVBweHh6YPn06IiIiJOvCwsIwbdo09OnTR9z35ZdfYvz48SrP\nlJSUhG3btiEkJARpaWl48+YNnj9/jsDAQCxduhQtW7ZEmzZt8gRiKXPz5k1x29bWFtnZ2ZgxYwYa\nNGiA5cuX486dO0hKSsLr168RERGBQ4cOYfTo0ahevTp27Nih8tyqevXqFR4+fCjWDRs21Pg5PjQu\nLi4wMjIS6+vXrytdGxgYiDlz5sDe3r7Ann379sXOnTvFOiwsDIcPH853bYUKFeDu7i7W69atU2lu\nxXWdO3dW6W+vbt26MDY2FutLly6pdK7CBAUFSWoXF5di91TskZOTgytXrhS756eoY8eOGDdunFgv\nXboUAwYMwPXr1yVhXomJifD390ezZs3w8uVLAG/DAf39/VU6j0wmg6enpxiAtmLFClhZWWnwkZA2\nLFu2TBJa169fPx1OQ9pw6tQp/P3334iLi4NMJkNiYiIeP36MXbt2wdvbG3Z2dli4cKHS8ML31Zs3\nb3Dr1i2xtre3h42NjQ4nIkWXLl3CqVOnEBMTg8zMTCQnJyMsLAwHDx7ExIkTYW9vj4kTJ+LNmzca\nPe/atWsltaenp0b7ExERERERERERERERERERERERERERERERERERkWoYDEVEH4W4uDhJnZKSgnbt\n2uHvv/8W95UpUwZVq1aVBLoAwIULF9C0aVPcuXNHaf/k5GRJXbZsWZVnyx3qkZKSorX+MplM6Y/D\nTUxMcOLECQwePBiCICAzMxPz58+Hvb09rK2tUb16dZQtWxYODg5YtGgRZDIZSpUqhenTp2PPnj3Q\n01PvI0NPTw/ly5eHvb09ypQpk+f+CxcuoEmTJjhw4EChvRRfX3Nzc3h7e2PevHnIzs4GABgZGaFK\nlSqwtLTMc9zAgQOxZMkStWYvTO7QIycnJ432/xAZGxujYsWKYh0fH690rYmJicp9u3XrhrZt24r1\nX3/9pXTtN998I27fv38fFy9eLLB3YGAg7t69K9aqBh8YGBigTp06Yn316lWVjitMbGyspK5Ro0ax\ne9asWbPAc5DqVq5ciQULFsDU1BQAsHPnTjg7O8Pc3BzVqlVDxYoVYW1tDS8vL8TFxUEQBPTr1w8X\nL16U/G0UZNGiReJnUZcuXTBw4ECtPR5VPX36FIIgqH07d+6crkcvERcuXICvr69YV65cGSNHjtTh\nRKQtZmZmqFq1KipWrAhDQ0PJfUlJSfjxxx/RtWtXSVDp++7ly5eSMKvq1avrcBrKj6mpKWxtbWFr\na5vn3zAZGRn45Zdf0KJFizz/FiqquLg4HDx4UKw/++wztGjRQiO9iYiIiIiIiIiIiIiIiIiIiIiI\niIiIiIiIiIiISD0MhiKij8KrV68k9eLFixEREQEAGDRoEO7cuYNXr14hIiICKSkpOHz4sCTM58WL\nF+jduzdSU1Pz7Z97vzrBNu9CRJT1Kon+75QpUwZbtmzBpUuX0LBhQ3F/QkICwsPDkZiYKO6rV68e\nAgIC8PPPP+cJQFCmVq1amDNnDi5duoTU1FS8ePEC4eHhePXqFSIjI+Hn54dq1aqJ69PS0jBgwAAE\nBQUV2Ffx9b1x4wbWrFkDAKhduzb27duH5ORkPHv2DImJiXjw4AFGjBghOX7q1Kk4fvy4So9BFSEh\nIZLazs5OY70/ZLlDyvILQSsKNzc3cfvKlSsFrnN0dBTrtWvXFthX8X4bGxv06NFD5ZmqVq0qbue+\nHooqISFBUucOOiuK3KFsuc+hSC6Xi7fw8PBin/tjIwgCpk2bhpCQEHh4eIj709LS8PTpU8TGxkIu\nlwMArK2tsXHjRuzcuRM2NjYq9b9//z7mz58P4O37up+fn+YfxHvsQ7z+oqOj0b9/f0mwjq+vL0qX\nLq3DqVQXHh4ued5JysjICP369cP27dsRERGB1NRUREREIDo6Gqmpqfj7778xZMgQCIIgHnPy5EkM\nGTLkg3k+c4c4auJzpzBnz56VXHeK3wsJ0NfXR/fu3bF27VqEhIQgLS0NkZGRiIyMRFpaGq5evYrR\no0fDyMhIPObGjRtwd3dXGg6rjk2bNkEmk4n1119/XeyeRERERERERERERERERERERERERERERERE\nREREVDQMhiKij0LuMKR3P2ieO3cutm7dKgmBMjQ0RPfu3REYGIhmzZqJ+x89eoTffvst3/4ZGRmS\nWvHH2IUxNjaW1Onp6SXe/503b95g+vTpcHNzw82bNwvse+fOHbRo0QL9+/dHXFxcoXOMGTMGDx48\nwMyZM9GsWbM8gVW2trbw9vbG7du34e7uLu7PyMiAp6enJFgjN8XX991r27hxYwQFBaFnz56S56B2\n7dpYv349lixZIu6Ty+WYMGGCxoIa3oWOAW/DYipVqqSRvh+63GEoycnJGumr+PxGRUUpXScIAjw9\nPcV6165dSsOpUlNTsWvXLrEePny4ygFowNvr+R3F66E4cs9qZmZW7J7aek0+VZs2bUKrVq2wd+/e\nAtfFx8dj+PDhaNKkCW7cuFFoX7lcDk9PTzHUY+bMmXBwcNDIzMVlYGAAR0dHtW/qBBx+iFJTU/Hl\nl1/i+fPn4r4xY8agZ8+eOpyKNCkyMhI7d+7EgAEDJGGAwNvvaa1bt8bmzZtx9OhRlCpVSrxv7969\n+PPPP0t63CLJ/bnzoYSafcwuXbqEw4cP4+uvv4ajo6MkeExfXx/Ozs5YtWoV/vnnH0nwYGBgIHx8\nfIp9/nXr1onbRkZGGDZsWLF7EhERERERERERERERERERERERERERERERERERUdEwGIqIPgr5BVC0\nbNkS06dPV3qMubk5tm7dCgMDA3Hfb7/9lm94UO7+mZmZKs/2LujjndyBSSXRHwASEhLQqlUrzJ8/\nXwwC6Nu3L44fP464uDhkZmYiLi4Ox48fR9++fQG8DSvZtWsXXFxc8PTp0wLnKFeunOTH68qULl0a\nO3bsQMOGDcV9d+7cwb59+5Qek/v50dPTw5YtW1CmTBmlx0yePBkdOnQQ6wcPHuDEiROFzqeKV69e\nSWZTvIY+ZbkDJgp6fQAgOjoav/76K/r27Yu6devC2toaRkZGEARBchs5cqR4jOJzn58RI0aIAU9p\naWnYsWNHvut27NghCRxTDJRShWJ4RlJSklrHKmNubi6p09LSit0zd2iehYVFsXt+inJycuDp6Ynh\nw4cjPDwcANCkSRNs3boVz549Q2ZmJpKSknDp0iVMmjRJfB++evUqWrRogWPHjhXY38/PDxcvXgQA\n1K9fHxMnTtTq41GHra0tQkJC1L4pBi9+bDIyMuDu7o5r166J+7744gusWLFCh1ORppUvX16ldV27\ndsX69esl++bOnauNkTQu9+dO7s8MKnmqXncuLi7Yv3+/5Lv3okWLxADVoggMDMT9+/fF2t3dHeXK\nlStyPyIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIioeBkMR0Uch9w/bAWDcuHGFBhU5OjqiR48e\nYh0dHY179+7lWacYAgO8DYVQVXp6eoG9SqI/AAwaNEgMsRAEAVu2bMGuXbvQuXNnlCtXDoaGhihX\nrhw6d+6MXbt2YfPmzeLzFxERgX79+iE7O1vluQpiYmKCBQsWSPYdOnRI6frcr2/nzp1Rt27dQs8z\nYcIESX3q1Ck1plRO8TnPL5TsU6UY2mRkZKT0Wnz9+jW+//572NnZYcKECfjzzz/x4MEDJCQkFBpo\nUNjfRoUKFeDu7i7W69aty3fd2rVrxe22bduiVq1aBfbNrVSpUuJ2Tk6OWn+zypQtW1ZSFxaCpYrc\noVW5z0GqWbx4seRa8vb2RmBgIAYNGoQqVarA0NAQFhYWaNasGZYuXYpLly7B2toawNvwvgEDBiAy\nMjLf3s+ePcO0adMAvH1v/uOPP8RwM3r/yGQy9O3bFwEBAeK+9u3b488//2RI4Cesf//+aNq0qVjf\nuXNHDJF7n717n3pHE587VHJatGghhrkCb0Ng//nnnyL3U/xuBKgfmklERERERERERERERERERERE\nRERERERERERERESaxWAoIvooWFhY5NnXvn17lY7Nve769euF9k9MTFR5ttw/ss8vxEpT/Q0NDWFs\nbJxnzbFjx3D8+HGxHjt2LAYPHlxg3yFDhmDMmDFiffnyZezfv1/luQrj5uYmeS4CAwOVrs39/Kj6\n2rZr104SDpbfa1sUiuEfWVlZGun5ocvIyEB0dLRY5w6beCc9PR3dunXDihUr8jx3enp6KFeuHKpW\nrQpHR0fxZmNjo9Ys33zzjbgdFBSEO3fuSO6/c+cOgoKCxHrkyJFq9QeQJ8BKE0E+FSpUkNQhISHF\n7vn48eMCz0GFS0hIwLx588S6YcOGWLVqFfT19ZUe06BBA/zxxx9inZSUhMWLF+e71tvbGykpKQAA\nLy8vNG/eXEOTk6ZlZWVhwIABOHz4sLivdevWOHToEExNTXU4Gb0PPDw8JHVB32veF+XKlYOe3v//\nTwIfQpgVSWnquktNTcWuXbvE2t7eHm5ubsWajYiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIqH\nwVBEHzpByHv7BDk4OEhqY2NjlcNk7O3tJfXLly/zrKlevbqkjoiIUHm2p0+fitumpqaoWLGi1vrn\nfh7e2bFjh6RWDHwqyNixYyX13r17VZ6rMIaGhpJ5X7x4oXRt7sdlZ2en0jksLCxgZWUl1vm9tkVR\nunRpcTs9PV0jPT90V69elYQlubi45Ltu3rx5OH/+vFg7OTlh9erVePDgATIyMhAXF4eIiAiEhISI\nt0WLFqk1i5ubGxwdHcV63bp1kvsVa0tLS/Tp00et/oD0dTc2Ni4wJEhVTZs2ldRXr14tdk/FHnp6\nemjSpEmxe35qDh48iNevX4v1t99+KwlSUcbDwwO2trZind/758GDB3HkyBEAQKVKlbBw4UINTEza\nkJ2djSFDhkhex2bNmuHIkSMwMzPT4WT0vqhdu7akLuh7zfvC2NgYn3/+uViHh4cjLi5OhxORujR1\n3e3YsQOpqaliPWLECJU+64iIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiEh7+Es/IjW4urpKbloh\nl0tvWlAij6OEVahQAdbW1mJtYmKi8rG512ZkZORZ89lnn0nqkJAQlfuHhoaK23Xq1Mn3R9ZF7Z+R\nkYHnz58r7fPOrVu3xG0LCwvUrFlTpf41a9aEhYWFWN+9e1el41RlamoqbisGr+Tm5OQkqYv6+ub3\n2haFYrhXVlYWXr16pZG+H7Jjx45J6vzeW2QyGXx9fcW6Q4cOuHbtGkaNGoXatWvD0NAw397qPr+C\nIMDT01OsN2/ejMzMTABAZmYmNm/eLN43ZMgQta6ndxSDFypVqqT28flp3bo1BIVwvxMnTkBejM+B\n8PBwPHr0SKzr16+PMmXKFGvGT5Hi+yegPPQsP87OzuL28+fP81zLT548EbfT0tLg7OyMGjVqKL3l\n/rvy8fGR3L9x40bVHxipLCcnB1999RV27twp7mvcuDGOHTsm+YykT5vidxqg4O8175N27dpJ6tOn\nT+toEioKTV13iqGZenp6+O9//1usuYiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiKj4GAxFRB+N\nhg0bitvJycnIyspS6biEhARJrRgw9U6dOnVgZGQk1oGBgSr1joiIQFRUlFjXr18/33Wff/65pFa1\n/+XLlyWPU1n/tLQ0cbt06dIq9X7HzMxM3E5PT1fr2MLExsaK2+XKlVO6TvG1BfK+ZsrI5XIkJiaK\ndX6vbVFUr15dUkdGRmqk74cqPT0d/v7+kn1dunTJs+7KlStISkoS6/nz58PY2LjQ/orhOaoaMWKE\nGDQVHx+P/fv3AwD27duH+Ph4cZ1igJQ6FP+u7e3ti9QjN2trazRv3lysQ0NDce7cuSL3W79+vSRY\n6j//+U+x5vtUKb5/Auq9hyq+fwIFv4cmJycjNDS0wNvTp08lxyQmJkruZ0id5snlcnh6emLLli3i\nvs8//xwnT56EpaWlDiej943idxqg4O8175Pcnw1//PGHjiahotDEdXf37l1cunRJrDt37oyqVasW\nezYiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIqHgZDEdFH48svvxS35XI5goODVTruxo0bktrB\nwSHPGhMTE3To0EGsAwMDkZKSUmjvkydPSmplwSzVq1dHnTp1xPrUqVOSQJfi9reyshK34+PjVQ7N\nkslkkhAdTQUrAW+DdcLCwsQ6d9iSom7dusHAwECsb968qdI5Hj58KAliye+1LYp69epJ6sePH2uk\n74dqzpw5ePnypVh3794dTk5OedYphikBeQPRlDl9+rTaM1WoUAHu7u5ivXbtWgDAunXrxH1NmjRR\neYbcHj16JG4rC2Qriu+++05Sz5o1S6X3gtxevHgBX19fsTYyMsLo0aOLPd+nSPH9EwBiYmJUPjY6\nOlpSa/I9lLRPLpfDy8sLGzZsEPc5OTnh1KlTKFu2rA4no/fRhQsXJHVB32veJx07dkSjRo3E+syZ\nM8UKJaSSpYnrTvG7EQB8/fXXxZqJiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiINIPBUET00ejd\nuzcEQRDrXbt2FXpMTk4O/vzzT7E2NjZGq1at8l3bq1cvcfv169fYtm1bof3XrFkj6d2tWzelaxX7\nP336FCdOnCiwd1ZWliSsokqVKnBxccl3bY0aNcTtN2/e4Pz584XODgBnz55FZmamWNeqVUul41Tx\n22+/SepOnTopXWttbQ1XV1ex3rt3r0rhVjt37pTUiuFexVG7dm1YWFiItaohZB+jzZs3Y8mSJWIt\nCAJmz56d79rcAUcZGRmF9j9x4gTu379fpNlGjRolbp8+fRrnzp2ThEx5enoWqe/Lly8l4UBNmjQp\nUp/8eHh4oGbNmmJ9/vx5/P7772r3GTNmDBISEsR62LBhqFSpkkZm/NQovn8CeQP5lElKSkJQUJBY\n29vbw8jISLJmwoQJkMvlKt8Uw/SA/w8Oe3ebMGFCER8l5Wf8+PH4448/xLpu3boICAhAuXLldDgV\nvY/i4uKwY8cOsTY1NUXr1q11OJF6fvzxR0k9fPhwvHr1qki9ZDKZ5O+GtCczMxP+/v6SfQV9n1bW\nY/PmzWJdvnx5SbAmERERERERERERERERERERERERERERERERERER6Q6DoYjoo1GlShX069dPrH19\nffHkyZMCj1m1ahVCQ0PFum/fvjA1Nc137aBBg2BjYyPWc+bMKfBH8zt27JCEgnh6eqJ06dJK13t7\ne8PY2Fisp0yZAplMpnT9smXLEBUVJdbjx4+XBGMp6tq1q6SeMWNGocFKmZmZmD59umRfly5d8l2b\nnp5eYK/czpw5g19++UWsDQwMMHjw4AKPmThxorgdFRUlOT4/z549w4oVK8TawsJCEr5VHIIgoE2b\nNmJ9+fJljfT9kCQkJGD06NEYNmyYJPBp4cKFSgPK7O3tJfXhw4cLPEdiYiK8vLyKPGPHjh3h6OgI\n4G0IXP/+/ZGTkwMAMDMzw8CBA4vUN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GrL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NqBsdAMioM2IRaKoHYtMg4RUWMISgWUnYOg7BwEbVtPhoiIiIiIiIjoJtGY0Cjz2awrAVJt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ayeumtm3jSphZYkSQ+IiBcDx1IG0SwGrgEOy8yThzj3aZRk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\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ff/45HTp0sKjG5cuX+eGHH9R29erV2XPmDE6OjqT+eRntlhC0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\n1EnnA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bt3R2BgoNW1WrRogatXr9Z4PG9vb2MQUn2+nq4UHh4ODw8PqFQqAKj1nE1duXLF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\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rKnRMT+o7y/a9ElSZLmCBM3SZKkeak16fVYVl9YclVm3tSa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EHhkZicTERL/X7dSpkycY6lhpn/RLMWvWLLz8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cw4UQQojzj5y/hRBCVFfDhvGYJJ2kSgYOhMceA1dZ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6Fa8/zzz+PRRx+Fqrb+eu9wOPDss89i/fr1+PTTT5GYmNjp2gOBAG699VasWbOm08cAwLp1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\nk6O3I8spVghV7ekpExHRFcZ4zWRU/+p/w2XfhQp4j56Eb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waA2bEtV4+pc79/JckrMzww8v+Nlm3MMIbesaquvRyJFUffFzZX1bFV9dQk/5Dk\nSRm+A1yU5AXd/fal3i4ArAVj8+NLM4yNcw+Jfj/J/0ryjO5+T3dvraoN43Pw0VtM35DkORnmyJVh\n3L9JhptoMzFfH38z+Vmjf/fLMJc+Zm6VecRc3X1ekk+NYp57wPU+o7e1A8C6MjbePjHDm0jnfKm7\nHzeaF2+aGJd/0N0PSvK1ie4ekuQpo34XPK6OtnX9qnpQVb0uyalJbjla3BmSQr1gof0CwAza0zn0\n22YY15N9OIduDg4Ay2JqroNP2JJhjJ978PWQDOf5AWBdWunr4LvYfo0SWdwmwz3wyZAA6p9Hy7Yl\nSXefleE8fWcYw6+V5DZL+QIHAFir9vQ8WXefuIjnye4+6nfBz+y7Fx0AgL2RGAoAWLe6u0cn3eZu\nfN2Q4WTeX83dMNPd2ydunpn7/vRHSd4/+v3yJEcn+aVRm6sysI+9lXzuAZhNGS6wHVZV182Qxf0m\no2VnJ3ntKJ4nJHna6PePjJYfmOSyDAmkXlRVD0gWd+IQANa4LUm+MPp9U5J/SfJbSV7a3WeOlv8/\n9u47zu6qzv/46zOTSggJAUIvUqWG3kQUxIKsKLoqrj8U67qo2Na27uIqa1sLrAV13XVVFLEgShFQ\nmvReDCVAgFBCFUISCCSTmc/vj885ud+5ueV7Z+5k5s59Px8PHnfu/fabx4PPPZ9zzufcTwyc6Qc2\nYBgdbrWY2QZmtjvwVuBE4GfAfwEvIX5PLAfOAB43s1ea2fTCsWVXShcREelohfbxTcBjxGSV3wIH\npFVRF+W46O4DxTZ4bk+7+6nAeek8uY19VHpdLaaa2SQqhZZ7iN8K66VzlZkck38r5GvmY15CtMtF\nRES6Ssqj9wKHV236UmGfvqo4m1dD/RDweNXnn0zH9FOSmb3YzN4KnEwUgzoDOJaYxJLdDdxvZp82\ns40Lx6oNLiIi3ahRDv0O2pRDVxtcRESk7Ua9H7yOHYEn0t89wC3AzBG8noiIyJg2Gv3gVdfP7efd\ngXWJ9vRtwBN5W+G3wY1UCjEDzCG13UVERLpZo/lkhX2GNZ+sGY1FFxEREZGyVERAREREut1MYHb6\nOw9ceQhqD1YtdMjNA36YPs6rlR5mZvvVuc4kolJ7D9Fhtz7waSortTwBfAX4PPBLd7/I3f/g7r8A\nXgd8glitZSrRgbc/8Kl8W609soiISGdL8fgaYhLq3u5+lLuf6e55AspjwPXp79zBdlh6bVdH2CeA\nq4DTiBXc9iWKN0JMdJ1AFHq8EDgfOMfMPpjuX7FbRES6RlqRdDHR3v4j8AV3vztvbxQXCwNYfpte\nc5/GQfnw6mPcfQWxItsLRNzvBWaa2aySt5zPeWG+jfS6JzCt5DlERETGmy2B4grizxGxvV4ePa9G\nfh6VPHq2VVrltBX/B5wOHA/sBaxdY58dgG8CXwXuNLNf1bs/ERGR8W6IOfRXpNfSOXS1wUVERNpr\njPSDr1LI0W9JFJDIRSWedfcFmoQqIiLdbE33g1cdn8etvyt/BPza3VfUKBZ5DZHTz5/vAmzW6Pwi\nIiJdZCZRdBkq88kehiHNJ3uVme3f4vU1Fl1ERERESlFhKBEREelKhU61lzJ44MoCd3+80GlWl7uf\nA9xAJNucSAgeZWa1JqX0AwsL7zcnKsJPBpYAx7v7D9z90Vwh3sx6zKzH3ZcA3wO+kG+fGNxzmJnt\nq4SeiIh0qauBE939JqjEzbTt2bQdKrmPl0KlU26oCtdYSqxYvrJql2eBBURHX17RvD9d/yQz+7aZ\nTUZERKR75Pb314C3u/vtjXYuKrR356XXKUR7eH0zm1ndHi609R8lijNnWwMbVe1T75p5Ms11RFyf\nmK65JRogKyIiXaYQN99D5MGzRe4+18wmNjuHu3+emHSy6rTAe81swxLXz3n6pQ12q26XA8wA3mJm\ntxRXTRUREekyrebQD4byOXS1wUVEREbMqPSDN7GMiNM5Jz8xXVNj1kREpJutsX7wGsf3m9kuRPsZ\nYnHi29K23NbO57gBeLxw+NbAtqsewqy3RjEpERGRca1qPtn6VOaTPeDujw1xPtn6wBvqzCervr7G\noouIiIhIS5S8ERERkW6VE3mLGbza6FRoPlimkIj7bTpHPt8hwE55n0LC8DFS5Xii824jYJ3099Xu\n/mszm1AcHOvuA7mDLq2w/jXSKuxUEo9vMrNcEV5ERKRruPvzaTXy/L4YN/uBm4l4OYGItzua2WbQ\nfDJKk+vmwTN5BfN+4FLgU8CBwN7A24HXAf9K/AbInX4GfAj4oDrkRESkWxTi883uvrjMwJkaZgKP\npL97gPuB2Q32nwc8U3i/DbBpuo+mE1VSkeZlwNz0Uf7NsXvarlXQRUSkW+Q8+JNVn+cJoH00UIj7\nlzF4hfNdgcOr9llNIU9/euHjRcA5wHuBVwPHEYsq/Ilo/xfNAX6u4lAiItKN1mAOXW1wERGRNhqt\nfvA69+LpnFuka01Km24zs0n1jxQRERn/RqkfvBjvd6BS4Olhd7+iagy6p9eHibb7QPpvMjDHzGak\n7f2F8XAiIiLdot58sinQ0nyyM2gwn6ze8RqLLiIiIiKtmtB8FxEREZGRZWZbARPcff6aumYhkTaN\n6OjKK5s/ZmZrpcGnZVwKvAHYP73fBtiPWNW0ONj1ESorruSk3wDRkfej9L6/3uBYM+t19xVm9lNi\nEGz+HfcyYCvgjpL3KyIi0jajEcNbcD8RH+cQHWbTiZVSfknE3+GumHodEf+vbzC55VwzOxf4ItE5\n10+s3vIeYD5w1jDvQUREpGWjHb9bWbU8TQ4dIFY6XZdYHW0CMeF0QY1z55h8F/BUYdOmwDZmdlHJ\nQa09RJv9cuAAKoUs9gZ+TLTrtRK6iIiMqDSBYzbwYmBHIv7sQAz6/BGwzN2fH8l7KMTtmVWbnjGz\n9dz9qepj6vg1cBDRNgdYCzgC+EnJ4/+PiM0/bVRgwszeDHybWJghezXwaWLArIiIyIhK8XsaEcM3\nJuL3pkRhwyuAvmaFFdegYeXQ1QYXEZHxpJtieCvMzFJxqN3SuVcQxaEeSOPYekrGexERkbYba/F7\nJPvBq66T28jvKHz8+6pt+Tq96b5uAl5DpcjjdkCPmU0jcvWHADe6+/+UfQYREZGhSjF8bWAzosjh\nLGB9YAPgNuAG4L5i0eR2a+N8skuA11NnPlkJGosuIiIiIqWoMJSIiIiscWa2NvAq4EjgUCKh9z0z\n+6y7P7uGb2dTYAmViS1OZRX0ugqJwDuB64lknAMziAGr3ykOfHH3583sPmAZMeklr7zSQ3RCNpPP\ndQHwILESG8SEoE1RYSgREVkDxlgMb+ZposNsDpVJI68gBsQOW+qAuw5iEA0xuGhVkcc8sMbdbzWz\nzxCdfTulw7chOufUGSciIiOuw+J3tRzDZwBTiVXQARY1Gvzj7kvM7C5gX6Ld3QPsBawHPNn0ou4r\n05+3ptc8+GfTtF0TXUREZMSkiRjHAG8h8r8ziRW8iwsOfBmYZ2bfBn7k7v15suYI3dY2VFYfJf3d\ndKxBYSLMn4F7iUUPSOfZp2qfRudxUhEpM5tImoxaaINPdPc+d/+NmS0jVmbNq6NOBv4eFYYSEZER\nZGaTiNh2GLAnMbFzS6I9C1HYcTLwWzP7GXC1uw+McPxupi05dLXBRUSkk3VzDC8pF2hcnt7n602p\nei8iIrLGdGj8rjakfvDMzGYDuxU++kv6POfwe4g4ntvUZwHHUVlU4VDgRmJh4uw0QIWhRERkxJjZ\nVKK/+JVEDnkbYHMqiwtBxMSJwNlm9kN3/2M6dqQKEw93Ptk8Sswna3AejUUXERERkVKa/kgVERER\nGSoLPYX325jZx4Argd8Sq5VsljZvQVR5L3ZMjeS95ft6mkgc5sknLwJeKHsed19KrKTyHJGE6wV2\nN7Nt03WK38H1wML09wAxceZhKoNlGl3H0+s8ojBUPsd0Kt+hiIhIW4zlGN6C54Fr0t+96fVAaG2F\ntjJSp9vK4uChqmvcBfyUyu+NScAcM9ugnfchIiLdbZzE70EKsfVd6TU/34/rHVP4Di4nVlTN73cn\n2vytPPPTVFZnhVg1dUaD/UVERIYsxfKPA3OB7xErdG9E5I+LsStP6NgR+D5wpZlNc3dvd1xPg08B\nnqi6h9lEnC3F3RcS+fGijczs0HSd0vedCkAtr2qDF1d9Px+4sOqwzczsxWWvISIiUlaK34cC/wv8\nGvg8MRFjNyoTUlcCGwLrAu8jYtVXzGzSSMTvFgw7h642uIiIdKpuj+FlpSIaM4iCjxBFNpYB89P2\nsVJcQ0REukCHx+9BhtIPDoPa2H9HFMMCuJpYSGJiPndhLNuAme0AHAWsnS8PrEMUhSrG8t3MbOMh\nPpKIiEhdKYYfSSwE9Fvg34kYvhODi0L1E/nhvrT9dDP7BrR/AYFCbnsRw5tPtoTV55PNKc4na+Fc\nGosuIiIiInWpMJSIiIiMmNS5NABgZq8HvgV8DtiVSNbl/yA65rbIx62J20uv84BpVFZF2aPwd0OF\nJN1twD2FTbPTeaCyclre746q00zP12v23IXk493pNX93W1Xdj4iIyLCM8RheSrr/ucRKLr1ER9iL\nzGxnWLNxM93L9cADhY9nAtuvqXsQEZHxbzzE71rMbB8qK531AvcCtzc4JD/PtQyOvdsSK8e28sxT\ngL8V3i8BrYAuIiLtZ2bHAw8B3yQGm9brx68Vh/YjxcYRiOs5V/6Xqs/XJSbYNFVof/+FmDyaTSIG\n9EIbxy2kwbEXUvndk6/18nZdQ0REBMDMXgb8hog7bwfy5Ml+IuY5MYFkMdFn3Je2TQM+SUyCGbV2\neZty6GqDi4hIxykZw5czvmN4K9dbDOyV3vYDa5HGrmmsmoiIrCmd3gavZQj94KTiVj2kNndyu7s/\nmRZVcDPbzMzebWZnmtki4E6iiFYuDFUc127EOPpfAycRBShFRETaIsWkjxJt2N8DbyZiuBN9zUuJ\ngkqLgFuJxQOMKNS0kohdH0qLK7VbjoV3MHg+2Z4MbT7Z3YVNG6bzwOAtV6wfAAAgAElEQVTFl4ZF\nY9FFREREupsKQ4mIiMiIMbMZZvYxM/srcCYxyWMWkUSbmP7LK35uAWy/pgaMFDr37iI6snLycBaw\nTbr/hvdSOMdCKp1xDkwFdinslvd7mEjEOfHc/cQqNRuUfO5i4hAqCcdtqraLiIgMy1iO4S16iOgs\nhIibk6lMBF0jOZHC9/I48Vsgm0xMpBUREWmLcRS/ATCzvNL5O4iYuTy9P9vdF9S790Ib/G7gZioD\neWYArzSzmSWunc/txACaXFhihrsvKdybiIjIsJjZhmb2B+A/gU2rNjsxEeQUYvXvFwEnAlfUONWW\nZvaddseoQlz9c9UmA14GLeXR/0q0jYvnyAsstGWF18K93MPgIlQ9VCYKiYiIDIuZrZ0monwPeH3V\n5qeA04B/JPqLNwXeBXwZWEFM9CT9fbSZva2wONBoGFYOXW1wERHpJC3G8E0YxzG8LAuTqBSJcGLi\n7jrtuoaIiEgj46wNDgy9H7xgGvAWKnn135nZkWb2IzNbADwI/A/xfc2ocbwT+fkHgH8CDgeOA37m\n7s8M7alEREQGM7PJwN8T/dvVhYseBn5GxKG93H094FDgjcBniEKPE4hYNwk43sx2S+dtSyyvym0X\n55OtC2ydrtXKfLI78sfEfLKdC++HTWPRRURERGTUk1oiIiIyrjnwCSKpVVw93ICbiMGhA+k/A+ZQ\nuxNqRJiZuXsfUayJwj0eml7L/lZ6GphfeD8F2NrMJhZXl0kV2i8p7Juvtw+xmlpDaaVzqAy2mZzO\nsaRwfhERkXYY0zG8Bc8A11R9luP8GlkBrvBb4G/A7MJ1NwIWrIl7EBGRrjFe4ndur/enFc7fkD6e\nTAxu+Tk0Xs01Hw9cBDxS2HQgcEDap8zE0ieJNn4eXNOTrt1f9wgREZHWfBg4kohz2bPAL4liCNu6\n+wfd/Vx3X+Dun3f3lwIfJyZiFh0DHA3NB6m2IsXV54kBuEXvTq8TKOc+Vm8Hb2FmU9u1SnvhPPcS\nA26zXuK3kIiISDscCnwD2IloJw4A1wEfBDZz93e6+y/c/U53X+Tu57j7vxIx/+p0jhyzPkAqlDhK\nxZtr5dBfkV5LxWe1wUVEpIOM9xje9n7w1M7ehZiIC5EDeCj91zBPLyIi0ibjKX4Pux882ZsoJpXH\nuP8R+D3wHmKBqGqLgUvT+Z+i0u6eBjzo7g+4+9Nqf4uISJs5EWumEW3JZ4CzgDcB27r7e939NHe/\nO+3/jLtf6e7/CXwMuJ+IdX1EfMtxs63FkOvMJ8s58rbOJxsOjUUXERERERWGEhERkbqGU009JcmW\nAI8RnUgTiM6lc4B3uPvewEnAC1Q6mXYDNszHD+PWSykkx67Kt51eX9bieVYQicdn0jmMSLZtUmP3\n64Bz09+5kNNBpKryJeVE4wDxvV4Oo9dRKSIiY894j+FluftyIvZCZRW4fcxs0igUVOwDNiC+s750\nPyvW8D2IiMgYpvhdUWivH02s7JoHoZ7p7je1cKrLgcvS3yuA9YFj0zXqDmwtXH93ou2df0dc0MK1\nRUSkS5QsdFDPw1TyxACLgBOAd7r7UjPrNbOJOVZb4u4nAV9j8GTPdVh9xfRhK8TF26s2HdTieZ4D\n7mH1e95j6HdXV17VtWjZCFxHREQ61DBXFX8KeCKfCvgL8Fngv919uZn1pBheHb8vIVZHf4pKUcid\nScWTRkOdHPreQ8yhqw0uIiIjTjE8rIl+8EK/wXLgxUQfN8SCEwvacQ0REekOit8Vw+kHL8TmvwG5\niMYLNXbtA24FfgS8DzgceBtwPDCPyNE70W7fwcwm1TiHiIjIsGJ4mmN1W3r7EPBF4IPufqa791XH\ncHd3M8sLEv0G+Fn6O7dxj6x6P2yjNJ9suDQWXURERKRLlV29U0RERLqEma0FbA/sT6zWPQvYGLiT\nKGh0i7tXr0ReSy9RMf0yYE+iM+n/gD9QGRxyD5H8mpbevxjYCrhrDa8ollcKz7+N9oVyq4+mDkQn\nVmt5GpiZNq0DrFW9f1rp5WfAR6msprYTcAQwt8T1ZhDfE0Qy7wXSyqtahU1EpLulGL4dMYBlTcfw\nHRidGF7GPOBR4rtYSXS07QNcaWY9I10gysx602+KtxO/D/qJyakXE8U7RESki3VpG7wUM9sOeH96\n20vEzZPTtoYxPD+Puz9iZqcRA13z4J2/M7OXu/ulDa49Ma0IdyixwMZyYsDwA2m7jcXvTERE1hwz\nW4+IE28AtjKzmcAsIu7+HPiduz9a4lQ3EUWMpgFnu/uRxY2pPdlfeF+MPz8AjiHa5BCxbo6ZTUtF\nmNrtGuDAwvtN0j311d69ohA7HyB+s+SiTZOBddt1g4UY/p9UYj9E7r66sJWIiHSZNrbBH0z/zQY+\n6e7fLG6sbq9Wxe/LgN8D7yEmYc4C9khFHEZr8sawcuhqg4uIyEhrYz+4YngLCs8/gUofN8BCYnzc\nouGcX0RExje1wesbaj944dkWEn3/BwNT0mf3AjcC1wK3EMUp/gYsK57PzG4B9iPa30YUaZ5JpfiW\niIh0uXa0wQs53duBdwOXuPsDxX1qxTt3X5lenzOzc4HPE3OuHNh0BPvB19h8sqHSWHQRERERUWEo\nERERWcXMDiQ6wF4CbEGlwwjgtcCngMvM7D+B8919oMFAzJyo+yFwk7v/vMY+txATZXIl9A2AHc3s\n4jKTSdpoHpGEm0UMlNnazPZy9xtbGCjzMDFINduMykppg7j7Lak41NFEp95k4CNm9kd3/ytUEoSp\nAn4PYCnR+Y/AjuncE4GLgCs0IFZEpLuNgRg+m9GJ4WU8Sky0PYJ4tgnAK4ArGTxJtK3y95uKQm4B\nvJOI3SuI+H+Juy8ZqeuLiMjYNwbi92i1wcv6MHGPeULoT9z97sKE0VLc/Vwzu5oY4OrAVOBEM3uX\nu88vtvtTG7w3rUy3J1Fki3T9O4jfFCrMLCLS5czs/cAniAKL1Stpb0RMdPmSmX0L+FJqF9aL4fcS\nk1MmEUWeKBvr3P0pM7uVSmEogOlE8ccbW3uqUq4EPkalLT3RzI5x91MLA1GbuY3Bq7hOZXBefUgK\nbfA+M9ufyAEU3ejuC4d7HRER6VxtboM/BZwBnA18L52/VCx092VpEuYSYvIGRB/1BsTEztHQthy6\n2uAiItJuiuENral+8H2JhQunEmPY7gTKFPIQEZEupfjd1LD6wd39aTO7hijScSNwA3A3UdxpaS6q\nUWRmE9Ln1xB9EdPTpl2J8QMqDCUiIm2L4YX3C9x9fuH8rcx5epxYPGDL9P5Roi/+3hYfq4xa88n2\ndvcbhjmfbLWY3CqNRRcRERGRrGe0b0BERERGn5nNMLPvA1cA7yJWaZlSvRuRqDoY+DXwNag/EDMn\nv9z9LuC0dJ1eM+tJf5u7LwduJaqV5/PMoY0rhJd0P7FKClSSb3niSMPfS4Xnv4dIsDkx2GZTBk9w\nAVYNcAX4FtEZBzF4ZkPgK2Z2QPG8OYnn7ivN7PXAZ4gEXk867udpuwbEioh0IcXwUpYCV6e/cxx+\nWXpteZXUQiyvta0nf0/5+zWzlxEDlPYmYvckomPy5FavLSIi44Pid3Nmtg8xkGUlMRj2XuCk9Byl\ni0Ll5we+SQyGNWJgzEuAz5vZ1nmQEqxqg680s/WAE4EXpf0BrnL3B9vweCIi0qHMbHMzu40oxLg9\nqxeFKpoBfIHUHm2Qv30a+LS7H+bui9O+TWNdoW1avfrnFGKizEi4klhhvOjY9NpwQarC81/C4Jx7\nL3UWWICmbfBeM+stnt/MjicWU5hW2LWPWDlVRES60Ei0wYHngZ+6+4nu/kLat9TK4enPHKtzfnoG\nsKzUA42MpcBV6e8h59DVBhcRkXZSDC+lrf3g1XKbmxgPN41KnJ6SYrjmIIiIyCCK3821qx8cOB14\nB/Bldz/b3e9y90W1ikIl+Tu7DniSym+H7YCtW30OEREZX0YohlMdl1qc8zSbiN/5mIXAgkb9x8NQ\naz7Za9Nr2flk81l9Plnd3ywaiy4iIiIirVKnjIiISJczs6nACUQCr5h4eowYPHIGcCHxu2EyMchj\nLeCfzOwrZa5RmKDaX6iWnn+HXEN0suXE1q7EKiZrjLs/C/y56uM3pG1Nq7SnKvAriFVljEgGDhBV\n3gcl7QoFn/5KDIpdTCRNB4DDgV+a2UfMbPd07FZm9hYz+xXwG2BmOlUv8DN3//mQHlpERDqeYng5\nadBMLsaYO912M7NZQyms2KQTc8Arq51vY2afA75PrHTuRMx/Anibuz/X6rVFRKTzKX43Z2YTgOOI\nVUrzxJMfuPuTrcbuwvOfCZyS/s7nfDvwWzN7MzGYCDPb0szeBfwBeA3xbzSJKAZ9wtCeSERExgMz\nW5eIJztXbRogJmI+TO2CTPuY2VU1PgdWFUSYO4RbyrH9/qrPp7n7iAyIdffHieJQRXmhg+WrHzFY\nWsV9KasXgto1bV/tnpu0wfvzBCAzO8TM/gR8nfjtlA0A73H3J5vdn4iIjD8j1QZP8bu6OGOpWypc\nfx0qE0w2cfdFIzShpamUQ78xvR1yDl1tcBERaRfF8HLa3Q9e4/z5u8/FoCcR/x6PpO3DLj4lIiLj\nh+J3iRtqbz/4c+7+dJncfNo/j12/hyhcsZIo7rE2sEv69xMRkS60JsaytXg/eXGmzYnFBHIMn5v6\nh4fd3q3Wpvlky4lxA3k+WT815pMVrqmx6CIiIiLSkoYrd4qIiMj4lSZh9BMJq+OpdDI9Anwb+I27\n35/2XQ/YBvgBsHvabzLwaTO7Efh9mYRXlTw45DpilfF10vu8+sitLT9UA6lDbRqwETDT3a9NCbh8\nH+cB3yIGsTiwu5nt7e431D5jRVrZdDLwAJFsmwQsIH2nDZJ2ZwHvBU4jfpc5URn+JKKa/XRi4I4R\nHYHZAPBd4F/SsxWfQ0RExjnF8NVieBn3EpNJtiM629YDDgTOKXyfZe9nR2Ii8CXAhkSRxyeBdYmV\nWPZJ596bSkFHT9e9DviCu9+g+C0i0l0Uv1uK33sTE0azO4AfD+d+3N3N7MfAJsBniAE4vcBuwK+A\n28xsZvpsAypt9F7gTuAj7v6Y4reISPcxs4lpouUXgb0Km/qBC4Cvuvvlad9tgYOIQgjFSRQHmNk3\ngM+VnaTRTKEdW13gcZGZTRvqANCU555NtHs3cfcfV7Wbf0gaBJtMNbNj3P3UMvecct7PUCnetJLI\ngdfMo5vZEcAhxO+iHYnfTvOArYA3Ay8HdgFmUZnoky0hVks/tdW2v4iIdLYx0AavqdCenJVec7/0\n3WY2KS1E1LKxlkNXG1xERIZKMXx0Y3gDexJ9DDleD6XAtYiIjFOK36PbD96Kwn3eALyaynzCPYgx\n6s+vqXsREZHRN4Zj+AozWwf4fPpoIjFP66vDOe8amk+2gIirTeeTaSy6iIiIiLRKhaFERES6VJqE\nsTaRMOslEkS9wDfd/aS8n5lNcPengKfM7HDgf4HXEkklgE8RK6Ff0sqAksLqI3eb2XyimrsTnUu7\nmNl57v7CUJ/PzHqIyTfrEZNE5gD7AfsC26SOvbyauLn7XWZ2DbA/sWL5RODNZjbf3Z8pcclZRFGn\nbG2aD4QZcPczzOw44HPpPnuJ72FLVp/IApFo/QnwfXdfBlqBTUSk2yiGV2J4C54gOsK2o1IY4zDg\nnCHc4gbA14jnvov4DrciJuM6McllArE6TmbARcCX3P0KUPwWEek2it/N43dqmzvwb0QsXU4MIjrJ\nY9XWYQ1kSW3of0kDcf4pXcOIHMAutW6JmJB6grtfmM6h+C0i0mXcvc/MNgTeX7XpHHdfVSDJzCa7\n+3xgvpldD1xMFFjKPgAsBE4qFJsassLvgLdUbbrC3Z8rxNWm5yFy29sQg0pfRhTA2gyYaGan5ntN\n5zzfzJYyeCGDD5rZZe7+QIlb35pKgUqI30PnNtj/RcBHgE8Qq8++QAzY7W1wDEQhzBPc/fswqJCW\niIh0gdFug9dTaNe+KX2U270XpskuZeP3WM+hqw0uIiJDohg++jG86n7zdzeT6PteQqFNryLMIiIC\nit9joR+8BXlM+g3ATcA1wB+Bi7xNi1qIiEjnGIsx3MxmAC8BPkvEXIi88T+6+5JWzt8B88k0Fl1E\nREREWqLCUCIiIt3tcKIAUV7R6zfAf0GlUyxXbk9JtMfN7ERiwMeBxICSvYmJGZdQGWBSSqEz60Zi\nZe/822QOsD7wcIvnmwrMICat7EQlcbczMKVq94NJycf0vh/4OTEQde302d8BVwJnleh4e4FYsRzi\ne3iaSAjWVZiY+79mdiVwLPBOokL8umm3ZcSEobuAy4Bz3f3ORucVEZGuoBjeWgfiMmIwy9updJId\nlF5b7RRbADxIdMZtz+BCjkbEcYhV1OYDlwM/KbNqjIiIjHuK33Xidx4Ma2ZHEd/TC+kc16U2czsG\n/5qHT5jZBcCHiIFKRc8TbfA7iEGwp7q7VkYVEZFPUWnrATxEmkySY1SeNJGKPt1uZp8FTqIyYXJa\nOs9JxCDOYUkDdfdicPEpB65N2+tOaDGzdYn4vTvRNj6QKNi0Vo3dP0QqZpXe9xEx8q2FfXYH3gf8\na4mYvZhK/j2fr1GsvQF4lvg9NInB/w7VXgDuAb7u7qc22E9ERLrDqLbBa/FYNXxTIq8MEdeeItqg\nzeJ3J+XQ1QYXEZHhUAwfxRheVJgknJ9vHSKnsThvH875RURkXFH8HsV+8LIK1znL3f+wJq4pIiJj\n3qiPZSP6qNcDdgAOIfLIu6Z7ehT4YqEIUn+j2Nlh88kWoLHoIiIiItICFYYSERHpQoWk1MHEqiO5\no+nS1Bm22orlheTZDcBXgbMKm480sz3d/aYh3tLVxOSOWen9zkQyrqVJqcAHgaOAbYkK6o3sBVyS\nkoM5iXZBOv4VRCJxh3TOs6gMcqnn1UTybYAYaHO+uy8ue+PuPg/4jJl9gVi5bQNiII0TK64tAB5y\n9+X5fsusViMiIuOLYjhQiOFlT57i/S1UVlwbAHYws63cfUHeL8XYKUSn3jJ3f67G6Z4hVqB5GfHs\n09PnfVQ66u4HbiEKb9zj7k8rfouIdC/Fb6BJ/E6DYacCJxBxenLa9Jm0vW7cTzF2KtHfsbRerC1+\n7u5/MrPLgQ3TM0wAlhK/FR4liko86O59a3CFVhERGWMKg0oPq9p0RWpnTq0uXlCI6acSg2hPKGze\nyMz+wd1PG+Z95dXFj2ZwMafn3f3rJSaS/Ixo005j8AqjtRxKrFreV8ij/xB4JZXfEpOBDwD/SvPB\nvh+ren+Huz/UYP+HiIIRM2ts6yPi9xPArcCfiN9X96kNLiLSvcZgGzzfV47f+xNt5JyrXuDuF5Zo\ne3ZSDl1tcBERaZliODAGYngN6xD5jYuBc4E/uvtdZe9PRETGN8VvYAz0g7cqnycVwhhQHl1EpPuM\nhRhuZlsCRxDj1vZPr7kYUp6TtQh4lZkdDfwBuMDdH21w2k6aT6ax6CIiIiLSEhWGEhER6UIpWTcD\n2CR9NIWYPHFV2l63MnlK6J1jZtcR1dNXEr8p3mZm97v7olZuJb3eCDxGZSLJ1kQy7poyJylMdNkR\nOIDaK64/ClxIJOUuyUkxT9Kz3WtmpxAJzolEUu6VZnYsUf19ZU6CpoRaL1EZ3oC3EUnRFURC76/l\nv4aKNJHo7Cb7KIknItKlFMMHx/AW7heik+x2YE8ifk8jOtQWmNlGwGzgxUQH43bAmcCPqwcDufsS\nM/smsfrKpkSH6F1EJ90AaVKquz9TvLjit4hI91L8Lh2/3wHsli8DnEH6jmrcwyRiQsomxCCcg4k2\n+heAx8s8R2p/LwBOarKfJqSKiHSpNAh0c2D9wscDRHsxx5J6x/YBnzezj1NZURTgo2Z2VXFy5hDu\ny81sMvC+qk0/zvdd67jCAN7tqQwsrTZADDA9E/h+LrJUlUe/xMx+BHy6cNx6ZvY/xMDY5fn3Qsqj\nTyLy5j3AW6qud3OTZ11oZh8G3ghsRayImn/LrASeBO5y9weqjlMbXESkS42hNnj1ud3MJhArp0P0\nRQN8K993reM6MYdei9rgIiLSjGL4mI3hj6TzioiIrEbxe2z2g5dVry9BRETGvzESw3cCvltnW17c\naOf0H8DrgXtS//uf3X1F3rkT55NpLLqIiIiItEqFoURERMaglGQ7DFhMiyuBtaAfOIhKRfKpwPwS\n95aTZj8lJpDklbpfBZwPXFR2Jc9CAu1RM7uTGIQCkUTb1cymu/vSFp7pDOBdxG+cZcBfiCJLF7j7\n/VXPUfMe3f1MMzubmGiSfZ1Yef2UnMRL974ynevfgddRWVXmDuBXLdz3arQaqohIZ1IMH70YXsIT\nRMGL4sDVd5jZLGJ1lz2AjQvbHgZ+XOf3wr3AvUO4BxERGYMUv0c3fqeBMjOADxEDZVYSg11OzoN4\n0sDdtYkJLNsS8Xy/9Jrj9wDxPbU8IFZtcBGRzpSKNh1PtPdObjRAdRhWABsV3vcAl5a4t1yE6Wzg\naCLGAewK/D3wjUKcH4pPEfEze44mhRYKfkFMIsmeBP4M/MDdLy/uWO8e3f0zZvb/iEGq2buJeH10\nLgqVfn8sT+e6iMHf5XIGF5eqyd0vAS4p9WQiIjLmdUsbvI5XEm1Z0n3dQKxAXkZH5dAbURtcRKQz\nKYZ3dww3sx5QEUcRkU6j+D268Xss9IOLiEhn6pIYfl2Nzx4hFgl6FJhD9EVvTBRg6iOKHZ8K/Avw\ngxrHd9R8Mo1FFxEREZFWqDCUiIjIGJAGTxwE/B1wOJWq5r8nKoU/MQKX7SM6mHoAJzqMNgHuaXJc\nTn5dDMwFXpreb0NURr+o1YEjaf/rgSOI6ugQq6NsACxttppKIdF5ITGh5Rx3v7HGtSbE7t5f6x4L\nScr/JFZPezXxHa0HfMnM9gNOB/5iZlsQnW/HAIcSSb3J6VSfcPfnyn4HdZ5JA2lERDqAYvjYiOFN\n7rOXiNEbAkvSxzkfckj6r5a9zGxjd3+0yfktPYtWYRER6RCK32Mnfud2uJm9n/h3yKumnQ1cZ2Zb\nAVsSg332A/YmBvnU0gPsY2bXt/p7QW1wEZHOkNp3/0TkZOdQycc+ApxLDLBst2VE7M760rUvbHJc\nXoX0Z8BrqRRxmkL8BvnGUAbwFgpOHV+16XR3v6/RsYXCWd8EXg78r7v/osY1JgMD7t5X6x4L9/Cv\nxCDY9fMm4C1mtjcxEPgUM9sXOAp4EzCr6lRfdPcnG91zjWurDS4i0mG6uQ2eFfqgP0IUZ85t31Pc\n/elGx46HHHo1tcFFRDqDYrhieJHit4hIZ1D8Hjvxe6z0g4uISGfothiexqY9ZWaXEgWqTgf+5O4P\npe1rA88D6wIfAN6Zzr+cKET1z2Z2h7tfBuNjPpn6wUVERESkGRWGEhERGSVmtjMxIeQIIonXU9i8\nkojTU9z9iRFaNXNb4Glgc2LCxjNUElF1FRJN84kK6gel49ciOp5muPviIdzPNURF+w3T+52ALYD7\nyia30goqq1Y6TwNgDOj3sLLuwVQSgu5+nZl9GPgTsBWRvJxOJO1eS0ze6U2fr5UOnwAsAj7n7mVX\nlRERkQ6kGL6aUY/h1dIk1nWJ72hnYF9gH2BXIn7n801M18kGgCuIFeLOKDMYVp1wIiKdQfF7NWMi\nfqfBsBsB/0wMMppE/HvcB5xMDKDZmcbf1QBwGXApcKYGw4qIjC9mdiTwfiIGzqiz20R3v6MwULOd\nDiEmbExN71cQq3c3VIinFwG3EoNgs53MbPM8sLWsXJDJzL5CpRgTwFLgg2XPkwahHlo8L/HbaEWK\n4cubHN+XXn9iZg8Sbeg87sCIQblfAL5Y7xTAL939y2XvuXBttcFFRDqA2uAVhYmgbyBWTM8TQa8B\nfl72PJ2cQxcRkc6hGF6hGC4iIp1C8btiLMVv9YOLiEgz3RzD8znc/dDqbalo1LPp7d+A/zCzi4E/\nEnO6IOZ4vcvMrvbK4kgdPZ9M/eAiIiIi0owKQ4mIiKwhZrYp0dH0d8Ski1qTWAbSfzmpNx3au+pW\nSpTlpFHxt8CGRDXzUlKn1fXAQmCz9PGLgd2JCuilko+FfW4BHqYyKXVzYAczu6yV50+V0s3dB4Yz\nCcjd55vZm4BvAy8pbJpB7d9Q9wHfAU4d6jVFRGRsUgyve54xGcOTY4G3AbsAs2psn1T4+w7gPOAc\n4HINohERGR8Uv+ueZyzG738jilsMEINiJwCfa3KM4reIyDhlZnsBxwGvATZm8CTGeibDoJVA23Ef\nxRheHIQ7BVhS9jypkNNfiBxzb/p4XeAo4NutFLNK5+olVjovOrFZMadqKYb3eKyG2tf0gPr3dLGZ\nHQP8EFineIk6h/QRK6J/dKjXFBGRsUdt8Kbn6gFOSB/l5z9hCIUglEMXEZG2Ugxvei7FcBERGXMU\nv5ueayzFb/WDi4jIKorhde9nAhEnB1LxJq/a3uvuV5nZt4CPE33SPUT/+y7AzcVraT6ZiIiIiIxX\nKgwlIiIyQsxsGrGa+OuIBN6WTQ55FOgHNi18dquZTW51UkcjhUTZ/cRgkPx+c2JSS1OFZOBdRCfU\nZuk8GwIHEpXfS0vnW2Jmc4lEoBHJut2AmUQl+lLSfQ27WnpKDt5sZm8E3gq8j3i+2WmXJUQS8x5i\nRZbfeIsrvIuIyNikGF7eWIvhhQm12wMH19ltIXAhMRH1ouqVadIAoXxLWoFFRKRDKH6XN1bidyFu\n5+JUy4k+i35iNfMixW8RkXHKzDYAPgS8GdiO5v3XeQJFb+GzB8xsursvbdd9FeLJlQwuDNXL4AJI\ndRVi+BXE6qDrp00TiJVEvz2EW/slMLXw/kHgv1s9SbqvYRfSSvH8dDO7Bfgi8VtsEoO/s+XE818H\nfMndrxvudUVEZHSpDd6y44Cdie9gAvAr4vdBS5RDFxGR4VIMb5liuIiIjDrF75aNevxWP7iIiIBi\neAv306x4Yy4udQ6xuNT+6f16wBzg5qrzaT6ZiIiIiIxLKgwlIjeNKQgAACAASURBVCLSZma2M3AW\n8KImuy4B/kpMhrgRuAY4EfgHYAWRZHvY3Ze3suJJyXvscfdlZraEmAD6ApHE2wG4rdkq5YVk4MJ0\n768ikmeTiA61VqvS9xBJzGuBvwempc/nABsBT1dVph9x7j6Qvqcnge+a2feBA4ik5WLiWRcDDxD/\nTn1r+h5FRKS9FMPHRQzP17kA+Fj6+1mik/Ec4AJ3X1A8oHoATTv/vUREZOQpfo+L+H0u8EYGF7lQ\n/BYRGefM7EjgDMr1Vy8mBlReA/wa+CmDY/9Cd1/aLKYO4R573f0pM+tj8GSNlwC/N7OJ7t5X7/hC\nLL2ZGBS7fmHz9mmf0vdrZjsBR1R9/B13XzxauWmPlWB73X0e8BYzmwi8l1gN9m/Eb54nid8wN7j7\n88qji4h0LrXBW2+Dm9ls4FgqvyWeBf7H3V8YpZioHLqISBdSDFcMVwwXEek8it/jIn6rH1xEpAsp\nhg9pLFtdhWs9SBShyoWhphDFrNp2rarraj6ZiIiIiIwpKgwlIiLSfsuoncTrIxJR1xPJu7nAQ8RK\n2StTIuiptG9OBpWquD4Ell6vBfYqXO8QYjJOKe7+nJndQyURCLCZmW3k7o+1cD/5+tcS38fa6f0O\nwFbAHaM0qWWg8Hc/TVaNURJPRKTjKYZ3eAwvxO7LgY8Df3H3m6v3M7NeYEADaERExgXF786N3zkG\nX5xerwbOA85V/BYR6QqLqN9X/TwxgPJaYnXNm4EFwAupsNDiqv2nMjJyMcV7gV0Ln78a+GTZk7j7\nk2Y2jygolc0ys13dfW6z4wsFqL4KrFXYdK+7fyNdY9Ry08VBwek+v99kf+XRRUQ6l9rgJdvghYkz\nxwB7Et/RROBMd78oXWM0+7+VQxcR6S6K4YrhIiLSeRS/Ozd+qx9cRKS7KYa3PpatjMXAUir3OhVY\n2e7Fo4o0n0xERERExhIVhhIREWm/B4jK7bsRq5jfQiTMbgbuB54CnqvuvDGzmcAm6e1kYvLLndD+\nCuaFxNfVwHFAb3r/kqrtdRWqmT8EPAxsmzZtkP5+rGzF88Lz3UZ8R5ul9+sBO5nZn73Byutrkqq4\ni4iMa4rh4ySGu/vzwMn5fVpNzfMzjVQnoIiIjArF7w6N34W4/ICZTXL3lcXtit8iIuPeVVQGiPYB\njxHx+1JiMOy9wBPV//83sy2B9avOdQu0P1YU4uHlDC4MtW3V9roK8XkelckoEM99EDC3UQxP2/rM\nbG/gNcXbA05o5XnWJOXRRUTGLbXBS7TB07Z+M9sM+Kf08QRi4sp/tf5U7accuohI11EMVwwXEZHO\no/jdofFb/eAiIl1PMbzFsWwlrtWb+sw3IopaLSe+o2fT74CeNVVcUf3gIiIiIjJaVBhKRESkzdx9\nwMw+Tkyo/CvwBJFwajhJxN2fMbNd0tt+ooL5fSN6s3B7utYkYoWSbcxsE3d/pIWE1UIGJ/LWBWZD\naxXP0/VWmtktwAFEctGIhOh6tDExOByjfX0RERk5iuHjK4abmUEaRaPV1ERExi3F7/ERv9O99BJF\nLlzxW0Rk/EsDND8HbAr8mSic9Hia4NjouAfMbHbVx6utsN1mlxEDYrOpZraHu9/cQry8HXiWiN0Q\nBaK2gqYxvIf4/XAKlaJSADe6+2kl73+NUx5dRGR8Uhu8dBvciPbtR4CtqRSH/F93v2koDzMSlEMX\nEekeiuGK4SIi0nkUv8dH/FY/uIhI91EMH9pYtkbS2IKJwIz0UQ+wkigQBRFn1wj1g4uIiIjIaOkZ\n7RsQEREZa8xsbzM7wcyuM7ND02e9zY6rcom7/8bd73L3Rc2SeBbyyugQialngWl5e4vXL+tJ4I70\ndz+wNnBwet/wd0IhofUYsLSwaX2io61V+XrXAMsK59gV2DBfM31Xa5nZZunfatIQriUiIuOQYrhi\neFEeSTOS1xARkeFT/Fb8zty9390HFL9FRDqDmR1jZheZ2bNpYCtpMGYrTnL3T7j7+e6+oFlRqBSX\nZhCDUovWzdtbvH5Z84EXqj47Nr02XIipENfuoDIwFSIWN4z/abBtv5kdDexZ2LQSODHtU/M7T9/V\nema2l5kd1ug6IiLSPdQGH/k2eIrfA2a2B/DW9PFEYiX4/0v71PzOC23wTc1su0bXaQfl0EVEOodi\nuGJ4kWK4iEhnUPxW/M7UDy4i0lkUw0dtLFszRwKvAVYQ8f5Z4LdV9yIiIiIiMm41HKgqIiIyXuXE\nWJrkuBawN/AOomNoWmHXQ4GLWz1/q4mldB87UlnxewJRNf3RoZyvBU8BVxETP/NkmiOA08ueIFWm\nf5ZIPg4Q9772EO4lP+O1RFX8XM19O2BnM1sIbAbsCOyT/nsJ8ErgoiFcT0REOpBi+CqK4SIi0jEU\nv1dR/BYRkY5SFcPXA94GfAjYoWrXo4BvtXr+Icbwwxk8CHUFMG8o52vBfOBeYOfCZ68jViAvxd0f\nMLPq4lIzau5cOSY/z2eB4mDja9z9LDPrLQ4iNrPpwKbAHOAg4EAitveY2QHuPjdNlNHAWBGRcUxt\n8FVGpQ1eeJ53E+3qPuLZf+nut5tZj7v35/3NbDKwDhHDcxt8f6DXzF7v7o8pfouIdAfF8FUUw0VE\npGMofq+i+C0iIh1FMXyVsTSWbZX079MDDKTv5gDgk2lzXtTwFHd/ejjXERERERHpJCoMJSIiXSkn\nxsxsc2Jl7zcBu6XNfURSahKp2nmxY6jdCp1IzxMTanLH1AbA3SN1XQB3f8HM/gz8I5WJJa9O25o+\nc5p40k9MIjViEs5U4EVV28vcy0B6vd/M7gO2Jf4d1gLeB7yT+DfasOrQg9GkVBGRrqEYHhTDRUSk\nkyh+B8VvERHpNIUYvi/wZaJI4JQau+6a9m+40ulwFGL4YiqDPSHi+AUjdV0Ad19sZucyuDDUVmlb\n02c2s4lpv0X5uGT7qu21jn0Pld9NAMuB96S/J5nZbGICywHAS4FdgPUYXDzLieJdc4nxASP27yQi\nIqNPbfAwmm1wM9ufaFf3E897O3By2txrZusQ7e3tgL2A/YA9GNwGfxrYE/gjEddH7N9JRETGBsXw\noBguIiKdRPE7KH6LiEinUQwPoxzDe0mFnwrv3d3zZ/3p89cA/0HE6n4iVs8FfjSkhxYRERER6VAq\nDCUiIl0nJYz2IFY3PxrYOG3KCaccHx3Yxcw2dPfHR2oVkMI5pxOTOiana98HzCKqsLeFmU129+VV\nH18FLCFWQekD1jezQ929TGX7fO/3ptcJxPeYJ+YMrHZE7fvqISafbgjMJFV3T68OvKzB4XuWuYaI\niHQ+xXDFcBER6TyK34rfIiLSmcxsIhG7P0LE8p4Gu69jZjunFbhHOobPrtq0DNgGmN+ua5nZdHdf\nWvXxz4FPDd7NPu7u3ypxyhyj5xPfZZZXfF1Z5z4mAp+r+vhSYJqZfZwoBLUn8ftqIvUZcCCMbPEu\nEREZfWqDj34bPP0bfIhYEb0/nec0oqDjocTkov2JFei3b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RqVOniNeMJIAqUhZLBH+hJorHkoiIiIiIiIiI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dQmGh/e/vCA0NxbRp0/D2229XOGjr+++/x+zZs3Hnzp1yvwsJCcH777+P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\n67Qty7IYPXo0d/wFTKFQ+/fvh5+fn8BRV93evXt5ASB9+/at8P2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oChqNBqNGjRLOnTtn\nPqm+YcOGunbt2umsrW8wGKSiKAoZbUEQRAmQbWgWgMvPtAUADgDSbN2GTByz6cs5VY9eaYyDJqKX\nQvny5dGnTx8cOHAAGS9KshMbG4s+ffqYxwiCgLfffjvH9SUSCc6ePYuuXbsiLi4uy/7o6Gi8/fbb\nuHz56XP5uHHj4O3tnYdbk7MlS5aYT4K/c+cOatWqhZ07d+Y47/r165gxYwZKly6N6OjoLPszhzJc\nu3YNw4cPh8GQ9RcwvV6PGTNmYPTo0QBgM2whszlz5pi3k5OT0a5dO1y8eDHLOKPRiJCQECxevNju\ntfOiRo0aFuE0Bw4csHtuSEgInJ2f/oI0aNCgbOfHxcXh7bffRlRUlLlv0qRJFnMLwvLlyy3azxsu\nM3HiRFy/ft3mmC1btqBJkyaIjIwEACgUCqxYscJmOMivv/6KJk2aYNu2bdDprL6mBgDs27cPderU\nsQibeOONN/D+++/bnHf16lV89913NkPGdDodvv76a3Tr1s18ny9TpgxmzZplc+3iLuNnOMPIkSPx\n008/WQ3IOXToEDp06GAOTwGAESNG4NnU3gyTJk3C3Llzze3y5csjLCwMfn5++VB9ulmzZuHChQs2\nxxw+fBiNGjXCpUuXAKQ/9i9btgyurq65Pt6KFSvM246OjujTp0+u17AmNTXVImAnICAA7dq1y7f1\ni5ui9jj7ou9r+eWnn35C06ZNsW3bNmQkbluj0+nw/fffo2PHjhavpzI/fz+rW7duKFGihLl9/Phx\ndO/ePdvXSwAQExODzp0749SpU+a+0qVLo0uXLtmO79+/P/r3748TJ07kGN4VExODIUOGYPLkyeY+\ntVqNSZMmWZ3zxx9/oEePHubHficnJ+zcuRONGjWyeazcKOj78qJFi3Ds2DGb35+LFy+iefPmFuFt\nc+bMQalSpazOcXR0xNChQ81tvV6P9u3bWw0FFUURixcvtghKBZClnZlKpbIICYuKisLbb7+N+Pj4\nLGPDwsIswiGdnZ2zBIy9zDLfZ5o1a4bMb4oSERERERERERERERERERERkf3SLt9AVNdReND3C/tC\noQQBLn07oeTpX1Hm/n6UPLUeAb/Nh8+3n8N9TD+ou7WBsm5VyAJ8GApFRPSKE6RSyPy8IPP1hETt\nzFAoIiIieqVIvdzhNWMESv71C1RdW9k1R0xJQ/y3a3C3Vk/EL90IMc32OaYZjIlapF2+gaQ9x5Gw\ncgtipi3Fw8FTEfHWMNx5sxtuBrbAnTe6IKLDUDwaNAWxU5ciccXvSN59DLpL14tsKJTEwxUOr5eH\nU7uGcB3YBZ6Th8L3xykI/GMpSv2zBWXu70epsxsRuG0hfBdPgueEQXDt9zacW9aFQ8XSDIUq4hwb\nvmnRNiWlIPXssxlDudOlS5e0gQMHmkOF/v33X1nlypV9PvjgA9dvv/3Wac6cOc5du3Z1q1u3rndU\nVJT5hP2pU6cm1qxZM4cEt6zkcrk+c1un05lPLp41a5amWrVq5v1bt251LFOmjO/o0aPVCxcudJo6\ndar63XfflQ4bNsx8PrlCocC6detilUpljseeNGmStnnz5uYTJH/++WencuXK+Q4bNsxl4cKFTmvX\nrjVNnDgRDRo0wB9//GGe5+vra1q/fn32JztmczsAQAbBIAiCteF/Z9Pnm+MNeMrnmbYRQEIu5tMr\niO8uENFLwWAw4JdffsEvv/wCX19f1K9fH9WqVYOPjw+USiViY2Nx/vx5hIaGIjHxaYDl4MGD8dpr\nr+W4/hdffIGvvvoKO3bsQIUKFdCjRw9UqVIFoijiwoUL+PXXXy1OYK9evTomTJhQILcVACpXrow1\na9agR48e0Ol0iIiIwFtvvYUKFSqgZcuWeO211+Di4oLU1FTExMTgypUrOHPmDP777z+b6w4YMAAz\nZ87Eo0ePAKQHUO3btw/dunVD2bJlkZaWhqtXr2LLli24c+cOgPRwg927d5vbtrRs2RKDBw/G0qVL\nAQC3bt1CzZo10alTJzRs2BBqtRq3bt3Cpk2bcPXqVQDpgQhTpkx5nm+XVYIgoHPnzuZ6du/ejXHj\nxtk118/PDytWrEDPnj0hiiISEhLQsmVLdOzYEU2aNIGTkxMuX76MNWvWWIRjdOrUySJkoSDcvXsX\ne/fuNbfr16+PihUrPteac+fOxYwZM1ClShU0aNAAFStWhJubGxITE3H79m3s2rXL4v6lUCgQGhqK\n6tWr57j24cOHcfjwYbi6uqJhw4aoWrUq/P39oVarkZycjFu3bmHv3r1ZAln8/PwQGhqaY3hYbGws\nPvnkE4wZMwb169dH7dq1Ubp0aTg7OyMmJgaXL1/Gjh07zPd7AChVqhT2799vDmArbOXKlctxzO+/\n/46jR49m6a9Tpw5++eWXbOd06NABvXv3Nu/X6/X48MMPMW/ePHTs2BFly5aFTCZDREQE9u3bh8OH\nD1vMr1q1Kj7//PNs17537x6mT59u0RcfH4/GjRvneFsy++WXX1CnTh2r+1etWoXx48ejTJkyaNKk\nCSpXrgwPDw8kJyfj/v372L17N86dO2ceLwgCfvrpJ3To0CFXdQDA0aNH8e+//5rbnTt3hpubW67X\nsea3336zeC7p378/pM/5IZHevXvj5MmTWfojIiIstq3dx3IKhCtIRe1xtqDva99//z2+//77LP3P\nhto1bdo028A9Wz8rhw4dwqFDh+Di4oJ69eqhWrVqCAgIgIuLC/R6PR4/foyLFy9iz549WY732Wef\n4a233rJat6OjI5YtW4ZOnTqZw5W2bNmCffv24d1330WNGjXg4uKCxMREnDlzBlu2bIFWqzXPl8vl\n+OGHH6wGzBkMBqxevRqrV69GUFAQ6tSpg9dffx1eXl5QqVRITk5GZGQkzp49i/3791uEDDo4OGDt\n2rUICAiwWv/HH39sMUcikWDAgAFWx2dnxIgRGDFihNX9BX1f3r59Oz7++GMEBASgWbNm5u+PXq9H\nZGQkwsLC8Ndff1mEfX355ZcYMmRIjmtPnDgRu3btMoefRkREoEGDBmjatCmaN2+OwMBA6PV63Lhx\nA9u2bcvyWrN///5o1cr2m/nDhg3D3r17sX37dgDprwvKli2Lvn37olKlStBqtTh48CB27NhhDr8S\nBAErV67M16DBosxgMCAsLMzcthakRkRERERERERERERERERERETWGR/HIfbr5Uj8eTtg40LEmTk2\nqA6v6SOgqJLz5ziJiIiIiIiICJCXCoDvkhC4DemJmGlLkXLwdI5zTLEJiJm0AAk/bILH+IFwrFMV\nhohHMEQ8hOH+w0xfH8Fw/yFMmqQXcEvymYMcsgAfyIJ8IQ9M/yoL9E3/GuQLWYAPJM45h+NQ8SXz\ndoeiSnmkhV8z96UcPgNl3arPte6SJUsSNBqN8OuvvyoBIDk5WVi1apVTdmMFQcCoUaO0EyZMyNMP\nkaOjY1pSUpL5xGudTqcQRRGCIEClUok7duyIbd++vcfFixflABAVFSWZP39+tidqq1Qq/PTTT3FN\nmzbVZ7f/WXK5HFu2bInr3Lmz+/79+xUZ6y9evNhqIlqFChUMW7dujQ0KCrL5ZmBaWpoic9tBEFKt\njRVF8ZYgCOEAqmTqrgHgrj2348nYzK6KGSfNEVnBYCgieuk8fPgQW7ZswZYtW2yO6927N7777ju7\n1mzRogU8PT0xZswYPH78GIsWLbI6tnLlyti9ezccHR1zVXduvfPOOwgLC0PXrl3x4MEDAMDVq1fN\ngUo5yS5MR61W47fffkPbtm2RnJweEHrt2jV89dVX2a7RqVMnLFiwABUqVLC77oULFyIuLg6//vor\ngPQgms2bN2Pz5s1Zxnbv3h0hISEFFgwFAO+//745GOrQoUN4/PgxvLy87JrbvXt3REdHY9SoUdDr\n9TCZTNi6dSu2bt2a7fjWrVtj3bp1OQYZPa+VK1dahD8MHDgw39YODw9HeHi4zTHBwcFYuXIlmjZt\nmqu1ExISsHPnTuzcuTPHsXXr1sUvv/yC4OBgu9c3Go04cuQIjhw5YnNckyZNsHr1apQqVcrutQva\njRs3chyj0Wig0WRNqg4KCrI5b+XKlZDL5Vi1apW578qVK7hy5YrNefXq1cPmzZuhVquz3W80GrP0\nRUdHIzo62ua6z0pJSbFr3M2bN3Hz5k2bY7y9vbFo0SJ069YtVzVkWL58uUU7P3+2nl1fEIRch9Nk\nJyIiIsf7j8FgsOs+9qyM554M9gTB5VZRfJwtqPtabGysXf8P1oIY7flZSUxMxO7du7F79+4cxzo7\nO2PGjBkYOXJkjmPbtWuH9evXY+DAgUhISA+n1mg0+Pnnn/Hzzz9bnefm5oYVK1agZcuWOR4DAO7f\nv4/79+9n+5rhWaVKlcLy5cvRokULm+OefazSarUWwVX2eDZMKzsv4r4cGRlpNQgwg0qlwsyZM/Hx\nxx/btaarqyv27NmDzp0749SpU+b+gwcP4uDBgzbnDhgwwPwayxaJRIL169fj3XffNQdbxsbG4ttv\nv812vIODA+bPn5/nx/LiKCwszHw/UyqV6Nq1ayFXRERERERERERERERERERERFR8iDo9EpZvRtzc\n1TAl2vfZIFlwADwnD4Nz+0YQBKGAKyQiIiIiIiJ6+SiqVkDApnlIPnQGMVOXQHcx53OfDfce4NHQ\n6S+guvwn9XZPD3oK9IUs6Jngp0BfSL3cIBTwucVU9Ckb17AMhjp0Bhj3v+daUyaTYcOGDfFvvfVW\n6ldffaW+cuVKthkyNWvW1E+bNi2xbdu2urwey8HBQSeRSEwmk0kCAEajUZqWlubg6OioA4DAwEDT\n6dOnH0+dOlX1448/Oj969CjLnd7BwQEtW7bEzJkzNVWrVrUawJQdFxcXcd++fbGLFy92+u6775yv\nXr2a7W318vLCgAEDxC+++CLGxcXFZiiUyWQSUlNTLUIhFJCk5VDKFlgGQ3V50mePZ0+KO2jnPHqF\nMRiKiF4K69atw86dO3HgwAFERkbaHFu3bl2MGzcO7777bq6O8cknn6BKlSoYO3Yszp8/n2W/s7Mz\nhgwZgqlTp0KpfDGprA0aNMD169exaNEiLF26FLdu3bI6ViKRoHr16ujQoQPef/99+Pj4ZDuuUaNG\nOHXqFIYPH44DBw5kO6Zs2bL49NNPMXjw4FzXLJVKsWHDBrRs2RIhISGIiorKMiYwMBDjxo3DiBEj\ncr1+btWvXx9VqlRBeHg4jEYjNm3ahCFDhtg9f9iwYWjQoAHGjh2LsLAwi0CmDGXKlMGYMWMwZMiQ\nAv/jsCiKWLlypbmtVqvRvXv35173gw8+wO7du23ex8qWLYu+ffti7Nixdv8M1KhRA7169cKRI0dw\n7949m2MFQUC9evUwdOhQ9OzZE1Kp1K5jBAUFoUuXLjh48CBiYmKsrl27dm0MGzYM77//vl3rvizk\ncjlWrlyJnj17Yt68edi7dy9shctWrVoVQ4cOxcCBA+3+PyhIPXv2xMaNG20GWQUEBKBnz56YMGEC\nPDw88nQcjUaDTZs2mdtly5bNdfiZLTdu3MChQ4fM7WbNmqFMmTL5tn5ByPwc4eTkhM8//7xAjlNU\nHmdf1H0tv3Xs2BHR0dHYs2cPzp8/D4PBYHN8UFAQevfujWHDhqFEiRJ2H6dr166oU6cO5syZgzVr\n1iA+Pt7qWDc3N/PzRU7hdWPGjIG/vz/27duH69ev51hHtWrV0L9/f3z44Ydwcso22LzQFNR9uVOn\nToiOjsb58+ezXRMAPDw80LlzZ3z55Zc5fs+fFRgYiOPHj+PHH3/E4sWL8c8//1gdK5FI0KpVK4we\nPRqtW7e2+xjOzs7YvXs3lixZgm+++Sbb8DWJRILmzZtjzpw5qFatWq5uQ3G3fv1683aPHj3g4uJS\niNUQERERERERERERERERERERFQ+iKCJ5z3HEhCyE/uZ9u+YIKie4j+4Lt0HdICgcCrhCIiIiIiIi\nopefU5OaUO79EdqtYYj96kcYbts+B7woEpSKTCFPPk8CoDKFPwX4QKJUFHaZVAwoG9dE/OIN5rb+\nTiT0dyIhLxXw3Gv36dMntU+fPqnnz5+XnT9/Xh4RESGRSqUIDAw01qlTR1+hQgWjvWuVLVvWKIpi\nlgAAQRCgVCpTkpKSnDP6tFqtWqFQxGScC+fg4IDp06drJ0+erD18+LDD1atXpVFRUQ4KhcLJ398f\ntWvXhoeHh+jj45Oc19s6dOjQ5KFDhyafO3dOduHCBXlkZKTEaDTCxcXFuUKFCtLXX38dEolEAOAM\nQGNrLa1WqxJF0XwinwBAJggGWD/NGgBWAvgcgPxJu5sgCNNFUfzX1iRBEKoCeOeZ7o02j0QEQLB1\n4j/RiyYIQmUA4Rnt8PBwVK5cuRArouLo3r17uHTpEm7fvo34+HiYTCao1WqUKlUKNWvWREBAzi+O\nbt++jdKlS5vbBw4csAgA+eeff3DhwgVERkbC0dERwcHBaNmyZaEHEFy/fh1nz55FdHQ0EhIS4Ojo\nCA8PD5QvXx5VqlSBm5tbrta7ceMGjh07hqioKEilUvj7+6NixYqoUaNGvtRrMplw5MgRXLlyBXFx\ncfD19UW5cuXQsGFDSF5g8u3y5csxcOBAAOmBEufOncvTOpGRkfjrr78QERGBlJQU+Pv7o1KlSqhV\nq1Z+lpsvEhMTLUJdmjVrZlfIwJ07d3D27Fncu3cPWq0WKpUKfn5+qFSpEqpWrfpcNUVHRyM8PBx3\n797FMe89EAAAIABJREFU48ePkZKSAoVCATc3NwQHB6N27dpwdXXN8/qiKOLixYu4dOkSoqKikJKS\nAk9PT/j5+aFWrVq5Dsp4WSUkJOD06dO4ceMG4uPjYTQa4erqisDAQNSqVQuBgYGFXWK2Hjx4gDNn\nzuD27dvmxz9/f3+UK1cOtWrV4hW7CkCrVq2wb98+AMC4cePw9ddfF/gxi8LjbHG+r6WkpCA8PBw3\nbtzAgwcPoNVqIZfL4erqCn9/f1SrVg2lSpV67uMYDAaEh4fj4sWLiImJQVJSEpydneHp6YmqVavi\n9ddfz1OwXGxsLMLDw3Hz5k3z84STkxNcXV0RHByM6tWrw9PT87nrfxHyel+29fwdFxeHkydP4tat\nW4iLi4NcLoefnx+Cg4NRr149yGT5kwt9//59nDlzBhEREUhISIBUKoWbmxvKli2LWrVqPddzdYbT\np0/jypUriIqKglKpRGBgIOrXrw9/f/98uAXFS2JiIvz9/ZGcnP5e54ULF577NRcREb14ef0dnIiI\niApPVFQUTp06ZW7Xrl37lfy9lIiIqLjh7+BERETFD5+/iaigpF25iZiQhUg5eNq+CYIAde8O8Bj/\nIWQ+ReOigERFGZ/DiYiIih8+fxNRUSDq9EhcvRWx36yCKSahsMsxk/p6Pg15evJVHuRjbks8XIv0\nOWNUfIgmE+43HwDj4zhzn8dn/4PL+52sztHr9YiOjja3vb29o+VyuaFAC7XBaDRKHj165JM5TEmt\nVmvUarU2u/EGg0ESExPjZTQazScUqlQqrYuLi83ApsjISIsP7Hl4eMQ4OjrqbM1JTU1VxMbGWry5\n5+npGaNQKLKdl5aW5hATE+MJAGJKGlI7joQEMJkexz2CCBFAnbLRR+5lN1cQhIUAhmXqugCguSiK\nsVbGewM4COD/MnWfEEWxnq3bRAQwGIqKGAZDUVGRUzAUvVzS0tJQrlw53L+ffjWgY8eOoX79+oVc\nVcHim3lE9Dx0Oh3c3NyQkpICFxcX3Lx5s9gE8hAVZ3z+fvV8//33GDlyJACgXbt22LVrVyFXRERE\necHncCIiouKHwVBERETFE38HJyIiKn74/E1E+c0YE4/Yr5cjcfU2wGSya45jvTfgNX0EFFUrFHB1\nRC8PPocTEREVP3z+JqKixKRJQvyi9Yhf8ivE5NQCPZbgpISsREbY05Pwp0Cfp0FQ/l4QFA4FWgNR\nZo8nLYB2y35z27HuG/D7aYrV8UUtGAoANBqNSqPRqDP3OTk5JavVao1UKjUBgCiKSE1NdUxISHAx\nmUzmUCiJRGLy8fF5JJFIbAbd5CUYCgAeP37sodPpFJn7XFxcEp2cnJIzjmkymYSkpCQnjUZjfjEk\npqQh7UkwlNG+YCgfpOeieGfqvg5gDIBdoiganoyTA+gAYB6A0pnGpgKoK4rihZxuE5GssAsgIiIq\nbAqFApMmTcJHH30EAJg1axa2bdtWyFURERVdJ06cQEpKCgDgk08+YSgUEVEBMBgM+OabbwAAgiBg\n+vTphVwRERERERERERERERERERERUdEk6vRIWLEFcXNXwpSgtWuOrKQ/PCcPhfNbTSAIQgFXSERE\nREREREQZJGpneHw+EC4fvIu4b1Yh8eftgNGYh4UkkPp5QZ4R9JQR9pTpq8RVxd/7qUhRNq5pEQyV\ndvYSTNpkSFROhVhV7qhUKq1Op3NIS0szBzAlJyc7JScnO0mlUqMgCCaj0SgTRdHih08QBNHd3T02\np1Co5+Hu7h7/+PFjL6PRaA6jSkxMdNFoNGqpVGoEAIPBkCVnRyqVGgXA7gcLURQfCYLQHcAfAByf\ndJcDsBVAgiAIt5/0lQbwbBqnEcAghkKRvRgMRUREBOB///sf5s2bh//++w87duzAhQsX8MYbbxR2\nWURERVLGVSLc3d0xevToQq6GiOjltGbNGty9excA0L17d7z55puFXBERERERERERERERERERERFR\n0SKKIpL3/oWYkIXQ37hn1xzBWQn3UX3h+lE3SBwVOU8gIiIiIiIiogIh8/WE9+wxcP2oG2Jn/Iik\n7Qct9ktcVJAF+ViGPQVmavt5QZAzLoOKF2W9NyDIZRD1BgCAqDcg5a8LcG5Vr5Ars58gCPDw8IiN\ni4tzS01NVWbe9ySQSZrNHJO7u3ucQqHQF2RtUqnU5OnpGRMbG+uROQBKFEUhu0AoAJDJZAY3lTom\nEvDOzbFEUTwoCEIbAJsA+GTa5QrAWkhBIoDeoijuyM2x6NXGZzoiIiIAMpkMCxYsQOvWrSGKIj77\n7DP8+eefhV0WEVGR9OWXX+LLL78s7DKIiF5aaWlpmDx5MgDA2dkZc+fOLdyCiIiIiIiIiIiIiIiI\niIiIiIoY3X+38HjiAqQcPG3fBEGA+r328Bg/EDI/r4ItjoiIiIiIiIjs5lC2JPxWTIMh8hH0tyIg\n8XCFLNAHUhdVYZdGlO8kKicoalRG6okL5r6Uw2eKVTAUYA6Hik9OTk7VarVqa6FLgiCISqUyRa1W\na6RSqelF1CaTyYze3t7RWq3WOSkpSWUymSTZjZNIJCZnZ2etSqVKEpNThbwcSxTFw4IgVAIwHsBA\nAG5WhsYC+BnAV6IoRuflWPTqYjAUERHRE61atcLixYvx8OFDCIKA+Ph4uLlZe/1FRERERFQwbt26\nhQ8++AAAUL16dQQFBRVyRURERERERERERERERERERERFgzE2AbGzVyBx1VbAaLRrjmPdN+A1fTgU\nb7xWwNURERERERERUV7JAnwgC/Ap7DKICpxTkxqWwVBH/oZoMkGQZJtfVKQ5OTmlOjk5pRoMBqlO\np3MwGo0SURQFiURikslkBoVCoROE3GcuBQQERD1PXYIgQK1WJ6lUqiS9Xi/X6/Vyo9EoAQCpVGqS\ny+V6uVyuz6hNfI5jiaIYC2CsIAhfAKgNoDIALwB6ANEA/gVwShTFFxKMRS8fBkMRERFlMmTIkMIu\ngYiIiIhecRUrVsTkyZMLuwwiIiIiIiIiIiIiIiIiIiKiIkPUG5CwMhRxc1bAFK+xa46shB88vxwK\n505NkZcT0IiIiIiIiIiIiPKbsnFN4OsV5rbxcRx0l29CUaVcIVb1fGQymVEmk6UUdh3PEgQBDg4O\negcHB31BH0sURT2AY0/+EeUbBkMRERERERERERERERERERERERERERERERFRkZS07wRiQhZCf+2O\nXeMFJyXcP+kD1yE9IHFUFHB1RERERERERERE9pOXCoC8VAD0dyLNfSmHzxTrYCgiKjgMhiLKRDQY\nYIiMLuwyij1ZgDcEWfF+eAkODoYoioVdBhEREREREREREREREREREREREREREdErSXf1Nh5PWoiU\nsJN2z1H3bAePCYMg8/MqwMqIiIiIiIiIiIjyTtmkJvQ/bzO3Uw6fhdvQnoVYEREVVcU7uYUonxki\no3G3RvfCLqPYK3l2I+Ql/Qu7DCIiIiIiIiIiIiIiIiIiIiIiIiIiIiIqZoxxiYibvQIJK0MBo9Gu\nOY61X4fnjBFwrFaxgKsjIiIiIiIiIiJ6PsrGNZGYKRgqLfwaDNFxkHm7F2JVRFQUMRiKiIiIiIiI\niIiIiIiIiIiIiIiIiIiIiIiICpWoNyBx9VbEzl4BU1yiXXNkQb7w/HIonN9uBkEQCrhCIiIiIiIi\nIiKi5+dY4/8gcVbClJRi7ks9+jdU77YoxKqIqCiSFHYBRERERERERERERERERERERERERERERERE\n9OpKDjuJe0374/H4b+0KhRKcHOHx+UCUOP4LVO80ZygUEREREREREREVG4JcBsf61Sz6kg+fKaRq\niKgokxV2AURERERERERERERERERERERERERERERERPTq0V2/i5hJC5C874Tdc1Td28Jz0keQ+XkV\nYGVEREREREREREQFx6lxTSTv/cvcTj1+HiZNEiCVmvtMej3ElLSn7eQUmGQGJqTnM1NyKr+nVGQx\nGIqIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIheGGO8BnFzVyJh+e+AwWjXHMdaVeA5YwQcq1cq4OqI\niIiIiIiIiIgKlmPDNy3apqQU3K3XO8s4o8lk3o4EPJlgRPRqYTAUEREVeYLw9CXqypUr0b9//wI7\nlk6nw5EjR3D79m1ER0fDw8MDJUqUQJMmTeDk5FRgx7UmLi4OR44cQUREBBISEuDv749y5cqhXr16\nkEgk+Xacy5cv4969e4iKioJGo4FarUZwcDCqVq2K4ODgfDsOERERERERERERERERERERERERERG9\nukSDAYmrtyH26+UwxSXaNUcW6AOPL4dA9U4Li88VExERERERERERFVcyb3coqpRHWvi1wi6FiIow\nBkMRZSIL8EbJsxsLu4xiTxbgXdglEOVaUlISQkJCsGrVKsTGxmbZr1Kp0L17d3z99dfw8vIq8Hpu\n376NTz/9FNu3b4dOp8uyPyAgAEOHDsVnn30GmSxvT+dpaWkIDQ3FwYMHERUVZXVcQEAAOnXqhCVL\nluTpOERERERERERERERERERERERERERERMkHTuHxpAXQ/3fbrvGCkyPcRvSG25CekDg5FmxxRERE\nREREREREL5iycQ2bwVAGgwHR0dHmtodEHiuDoH8RtRFR0cBgKKJMBJkM8pL+hV0GEb1g//33Hzp2\n7Ihr16y/cNZqtVixYgV27dqF33//HfXq1SuwekJDQ9GvXz8kJlq/ClJkZCQmTpyIrVu3YseOHfDx\n8cnVMY4cOYIRI0bg4cOHOY6NjIzEmjVrGAxFRERERERERERERERERERERERERES5prtxFzEhi5C8\n57jdc1Td28BzwiDIAnL3GVkiIiIiIiIiIqLiQl6/JlLnbbC632gUIIoKcztNlMkNEKQvorZXXbjh\nNceyhV0EERgMRUREr7jo6Gi0b98eN2/eNPeVL18e7733HkqUKIEHDx5g8+bNOH/+PADgwYMH6Nix\nI06cOIFy5crlez3Hjx9Hz549kZaWZu5r2rQp2rZtC3d3d9y4cQNr1qxBVFQUAOD06dN4++23ceDA\nATg62nclpD///BNdunSxOEblypXRrl07lChRAmq1GvHx8bh8+TKOHTuGK1eu5O+NJCIiIiIiIiIi\nIiIiIiIiIiJ6yYgmE0yJSTAlaGBK0ML45KspXgNTojZ9W5sMqb8X1F1bQ+bnVdglExERFThjggZx\nc1ch4afNgMFo1xxFzcrwmj4cjjUqF3B1REREREREREREhevvhDL4OOkHq/sNBgNiE2LMbQncDYDM\n8CJqe9UJgL5HYRdBBAZDERHRK27o0KEWoVDDhw/Ht99+C4lEYu6bOHEi5syZg88++wyiKCImJga9\ne/fGyZMn87WW1NRUi1AouVyOVatWoVevXhbjpkyZgj59+mDz5s0AgBMnTiAkJASzZ8/O8Rhnz57F\nO++8Yz5GQEAABg8ejJEjR8LFxSXbOdevX8fatWuf56YRERERERERERERERERERERERVpoihCTE6F\nKUEDY8KTIKcETdagpyf9lmO0MGmSAFG061hxc1bBY9wHcB3UDYKcH+UlIqKXj2gwIHHtDsTO+gmm\nmAS75kgDfOAZMhiqzi0hCEIBV0hERERERERERFT49u6XIFrwsbrfKDEgTupgbguCm5QxMQVLp4Pu\nyaZ9SfdEBYw/8URE9Mo6ffo0fvvtN3O7TZs2+P7777MdO3bsWNy4cQPLli0DAJw6dQqbN29Gly5d\n8q2ehQsX4t69e+b2lClTsoRCAYCjoyPWrVuHmjVr4p9//gEALFiwACNHjkRgYKDV9fV6PQYMGGAO\nhSpVqhSmTZtmNRAqQ7ly5TB58uQ83CIiIiIiIiIiIiIiIiIiIiIiohdH1OnTA5sSNTDFPw1yyj7U\nSfO0nZi+D/oXc4FlMTkFMZMXQ7PxT3jNHgNlnaov5LhEREQvQvLhM4iZuAC6KzdzHgxAUCrgNrw3\n3Ib2hMRZWcDVERERERERERERFR379tneL5VK4eHhnqlHYvukcHpujx7hkSjCvqvBEL0ADIYiopdS\nQkICzp49i//++w8JCQkwmUxwcnKCv78/ypUrh9dffx0ODg45L2TFP//8g4sXLyIiIgJKpRKlS5dG\n8+bN4eTklC/1nzlzBv/99x+ioqIgiiIaNmyIevXq2ZxjMBhw8uRJXL9+HQ8fPoRMJoOfnx/q1auH\n0qVL56kOo9GIS5cu4cqVK4iKikJSUhJUKhW8vLxQo0YNVKxYMU/rZjCZTDh69Cj+/fdfxMbGwtfX\nF2XLlkXDhg0hkUiea217fPvttxbt+fPn2xw/c+ZM/Pzzz0hJSTHPz69gKFEULeoJDAzE2LFjrY53\ncHDA7Nmz0a5dOwBAamoqli5dimnTplmds3jxYly4cAEAIJPJMHr06BxDoYiIiIiIiIiIiIiIiIiI\niIiIXhTRZIJJk/Q01ClRC6N5WwNT/JOQp0SteYwxYztRCzE5tbBvQq7oLt9E5FvDoO7VAZ4hgyH1\ndCvskoiIiPJMd+MeYiYvRvKfR+2eo+raCp4TP4Is0LcAKyMiIiIiIiIiIip6bt4Ebt+27CtXDpBl\nSoERRRE63dMLm0gkciMgMLQon5lMwI0bzN+hool3TCJ6qdy8eRMTJkzAli1bkJaWZnWcQqFAkyZN\nMGHCBDRu3DjL/tu3b1uEKR04cABNmzbFvn37MG7cOJw7dy7LHJVKhcGDB2Pq1KlQKm1frWbVqlX4\n4IMPzG1RTH/9tXTpUsyZMwc3b1peIadfv35Wg6EePXqEKVOmYN26dYiPj892TPXq1TFr1iy0bt3a\nZl0AoNFo8Pvvv2Pz5s04dOgQEhMTrY4tUaIERo8ejaFDh+Y6aGv58uUICQlBZGRkln1BQUEYN24c\nhg8fnqs1c0Ov12Pnzp3mdoMGDVCpUiWbc9zd3dGlSxesXbsWAHD8+HE8evQIPj4+z13P6dOnERER\nYW73798fMpntp+nWrVujZMmSuHv3LgBgy5YtVoOhRFHEokWLzO2ePXuiVKlSz103ERERERERERER\nEREREREREVEGURQhJqemBzclPAl1SnwS7BSvSQ9xSnga5GTMtG1K0MCUmASIr95n2TXrdiLpjyPw\nDBkCda/2EF7ARfWIiIjyizFRi7hvViPhx98AvSHnCQAUb1aC14yRcKxZuYCrIyIiIiIiIiIiKpr2\n7rVs+/oChw4BgvC0T683Ijo6xtz29vaOl8sl9r0JR3bTaiGUK4fnDwwgKgAMhiKil0ZYWBg6duyI\n5OTkHMempaVhz549qFWrVrbBUNn57rvvMHr0aJhMpmz3a7VazJ07F3/++SfCwsLg7e1td+0GgwHd\nunVDaGio3XMAYPv27ejduzc0Go3NcefOnUObNm0watQozJs3z+bYzZs3W4RW2XLv3j2MGjUKmzZt\nQmhoqF232Wg0ok+fPtiwYYPVMffv38eIESNw9OhRrF+/3q5acuvo0aNISEgwt9u0aWPXvFatWpmD\noUwmE3bt2oX+/fs/dz2ZQ6rsrUcikaBFixZYuXIlAODSpUu4ffs2goODs4w9dOgQrl27Zm736NED\nRqPx+YomIiIiIiIiIiIiIiIiIiIiopeOqDfAlKCBMeFJoJOVUCdTguZJ8JPlfnsDIciSKS4R0aO+\nhmbdTnjNGQNF5XKFXRIREZFNotGIxLU7EDvrJ5geZ39x22dJ/b3hOekjqLq0YhAiERERERERERG9\n0vbvt2w3b24ZCkVEBDAYioheEo8ePULnzp0tQqHq16+PZs2aoWTJknBwcIBGo8GdO3dw7tw5HD16\nFDqdzu719+/fj6+++gomkwmenp7o0aMHqlSpApPJhAsXLmDTpk2Ij0//g2Z4eDjatGmD48ePw9HR\n0a71P/30U3MoVJUqVdCxY0cEBwdDp9PhypUrUCgUWeasW7cOffv2tQj3qVOnDlq3bo0SJUpAr9fj\nn3/+wcaNGxEbGwsAmD9/PmQyGWbPnm1XXR4eHmjYsCGqV68OHx8fKJVKxMTE4MyZM9i2bRtSUlIA\nAMePH0ePHj2wb98+SHL4I+3HH39sEQoll8vRsWNHNGzYEGq1Grdu3cKmTZtw7do1bNy4EZUqVbKr\n1ty6cOGCRbtevXp2zatfv75F++LFi/lej0wmQ61ateyuJyMYKqOe7IKh9maKjZXL5ahbty6OHTuW\n94KJiIiIiIiIiIiIiIiIiIiIqMgzJmigC7+eHuCUkPEvPcDJmO22BmJyamGX/dKQqJ0hcVWl/3NR\nIe2faxC1ti98mHo6HPdbDITroK7wGPc/SFROL6haIiIi+yUfOYuYSQugu3TDrvGCowPcPu4Ft497\nQeKsLODqiIiIiIiIiIiIijaNBjhxwrKvVavCqYWIijYGQxHRS2Hx4sVISEgAADg6OmLLli1o27at\n1fGJiYnYsGEDZDL7HgYzQqHatWuHtWvXwsPDw2L/tGnT0LNnTxw8eBAAcO7cOcyYMQPTpk2za/3v\nvvsOMpkMixcvxsCBAyHkEOd55coVfPjhh+ZQKD8/P6xduxYtWrTIMnbGjBno168fduzYAQCYO3cu\nOnTogCZNmlhdv0mTJhg7dixat24NuVye7Zjo6GgMGDAA27dvBwAcOHAAq1evxgcffGB13X379mHp\n0qXmdqlSpRAaGopq1apZjJsyZQpCQkIwc+ZMu7+HuXXlyhWLdrly9l1hLzg4GFKp1Py9v3z5cr7X\nExgYaHeoWNmyZS3aly9fRqdOnbKMO3XqlHm7YsWKcHBwAABcvXoV+/fvx7hx4xAREQFBEODt7Y1a\ntWqhffv26NWrl9X7ABEREREREREREREREREREREVPaIoIu10OOKX/IqkXUcAk6mwSyq2BEcHSFxU\nkLipIXFVQ5qx7ZIe9iTNtC1xU0Pqqn46Xu0E4ZnPpxkePEbMpAXQhobZPrDRiIQlv0IbGgavGSPg\n/FaTHD9TRkRE9CLob0UgZvKi9NcYdlJ1bgmPSYMhD/ItwMqIiIiIiIiIiIiKj8OHAYPhaVsuBxo1\nKrx6iKjoYjAUEb0UwsKeflBm8ODBNkOhAMDFxQWDBg2ye32TyYTq1avj999/zzawx9fXF9u2bUPt\n2rXx77//AgBmz56NESNGwNvb265jLFiwAB9++KFdY4cNG4bk5PQrx7m5ueHw4cMoX758tmM9PDzw\n+++/o0GDBjh9+jREUcTEiRNx5Ej2f5Dt2bMn+vfvn2MN3t7e2Lx5M5o1a4Zjx46Zb4OtYKixY8ea\nt5VKJf744w9UqlQpyziZTIavvvoKsbGxWLZsWY615MXNmzfN2xKJBEFBQXbNk8lk8Pf3x/3797Os\nk1/1lCxZ0u55z461Vs/58+fN20FBQUhOTsbixYuxZ8+eLGO1Wi1u3bqFjRs3YvLkyfjpp5+yDR0j\nIiIiIiIiIiIiIiIiIiIioqJDNBiQtOMw4pf+irSz+XOxs2JPKk0PbXJRQeqaKdTJTZ3ezhT6JHF5\nEvSU0e+qgsRRka/lyPy84PvjFKh7dcDjz+ZDf+u+zfHGqGg8/N8kOLWoC69ZoyAPDsjXeoiIiOxl\n0iQhbt5qxP/wG6DT2zVHUb0SvKYPh2Pt1wu4OiIiIiIiIiIiouJl3z7Ldr16gLNz4dRCREUbg6GI\n6KXw4MED83aFChUK5BjfffddtqFQGdRqNb755ht06NABAKDT6fDzzz9jzJgxOa5drVo1fPTRR3bV\n8ffff+PAgQPm9syZM62GQmWQy+VYsGAB6tatCwA4evQowsPDUaVKlSxjbd3G7NadNm0amjdvDgA4\nd+4cHj58CF/frFf0OX36tEU40SeffJJtKFRms2bNwsaNGxEXF2d3TfZKTEw0b6vVashk9j8luru7\nm4OhNBrNc9eSkpICQ6ZYVw8Pj1zVkll29ZhMJsTExJjbSqUS77//PvZl+q1BqVTCy8sL8fHxFmvc\nvn0bbdu2xerVq9GrVy+76yIiIiIiIiIiIiIiIiIiIiKiF8OYqIXmlx1I+OE3GO4/LOxy8p2gcrIM\nbHJTQ+qiSg9zygh6cn0S6pR521UNwVkJQRAK+yZk4dSsNoIOr0L8gnWI/24txDSdzfHJ+0/gXqP3\n4f5JX7h9/B4EhcMLqpSIiF51otEIzbqdiJ35E4zR9n2eV+rrCc9Jg6Hq1hqCRFLAFRIRERERERER\nERUvJhOwf79lX8uW+bP2hQsXZOfPn5dHRERIpFIpgoKCjLVr19aXL1/emD9HsI/RaMThw4cdrl27\nJo2KipK6urqagoKCjM2aNdN5enqKz7t+WloawsLCHG7duiWLjo6WeHh4mEqWLGls0aKFTqVSPff6\nREUJg6GI6KXg5ORk3j5+/DiGDBmSr+tXqlQJjRo1ynFcu3btUKJECdy7dw8AsG3bNruCofr162f3\nB5DWrVtn3nZzc8OAAQPsmlenTh1UrFgR//77LwBg79692QZD5VajRo2gUCiQlpYGID0A6q233soy\nbvv27RbtDz/8MMe13dzc0L17dyxbtuy563yWVqs1b+cmDAtID1HKbp38qCW39WSuxVo9iYmJEMWn\nr2G3b98OvT79ak3ly5dHnz59MHz4cHPI1N9//43Jkyeb/88MBgMGDBiAypUr44033rC7NiIiIiIi\nIiIiIiIiIiIiIiIqOPq7UUj48Tckrt0BUZtc2OVYJTg6PAlsUmcKdXrSfibQSeKmhtRVbQ6Akqid\nIOTigm/FicRRAY+xH0DdpRWiP5uHlIOnbY4XU3WInfUTNL/tgdfXo+DUuOYLqpSIiF5VKcfO4fGE\n76G7dN2u8YKjA9yGvge34b0gUTnlPIGIiIiIiIiIiOgVdPEi8PixZd/zBkOtW7fOccaMGerLly9n\n+4e12rVr66dNm5bYunVr21creU56vR7Tpk1T/fjjj84PHjzIkhrv4OCANm3apM6fPz+xbNmyuQ6r\n0mg0wvjx49Xr1q1ziouLyxLO4OzsLL777rsp33zzjcbHx8eU19tBVJS8nH8tJ6JXzptvvokLFy6h\nnfVnAAAgAElEQVQAANauXYsKFSpg9OjRcHZ2zpf127RpY9c4QRDQunVrLF++HEB6wI7JZIIkh6vd\n1K9f3+5ajhw5Yt5u1aoV5HK53XPr1KljDoY6efKk3fNskclk8PLyQkREBACYvz7r1KlT5u3y5cuj\ndOnSdq3ftm3bAgmGSk1NNW87OOTuCnoKhcK8nZKSkq+15LaezLVYq+fZsKiMUKg333wT48ePh1wu\nh1QqNe9/8803sW3bNgwbNgyLFy821zhu3Djs3r3b7tqIiIiIiIiIiIiIiIiIiIiIKP+lng5H/JJf\nkbTzcPolhQuaVJoe2uSigvRJeFNGkNPTUCe1uf/ZMRJHRc7HeIXJywTBf+M3SNp6AI8nfg/jwxib\n4/XX7yKqyyioOreE59SPIfP1fEGVEhHRq0J/OxIxkxcjaechu+eo3mkOj5AhkJfwK8DKiIiIiIiI\niIiIir99+yzbZcsCwcF5W8tgMKBfv35u69atU9oad+rUKXm7du08P/30U+3XX3+tydvRbNYhvXv3\nrqJz586qCxcuSK2N0+l02L59u+PBgwcVy5cvj+/WrVuqtbHPunTpkrRTp06eN2/etLp+UlKSsHbt\nWqc9e/Y4btq0KbZRo0Z6vV4v1+v1cpPJJAEAiURilMvlBrlcrheELNlSeSYIgieABgDKAnAGkATg\nBoBjoija/gMgkQ0MhiKil8KgQYOwatUqiKIIAAgJCcHs2bPRrl07tGjRAo0aNUKlSpWQ1yfn119/\nPU9jtVot7t+/j5IlS9qcU65cObvXzwjAAoDKlSvbPQ8AfH19zdv379+3OdZkMuHgwYMIDQ3F+fPn\ncePGDSQmJiIpKcn8fc5OfHx8tv0ZgVQAUKVKFbtrzs33PjccHR3N2zpd7sJN09LSzNtKpc3Xybmu\nJbf1ZK7FWj3Prg8ALi4uGDlypM1gsfnz52P//v3477//AAB79uzBv//+i4oVK9pdHxERERERERER\nERERERERERE9P9FgQNLOI4hf+ivSzlzK9XzBSQmpuzpTYJM6PcDJVZ0e3vTka+Y+qZsaElc1BGdl\nnj93RfYRBAGqd5rDqUUdxH69HAk/bs4x9Ev7+z4k7/0LHl98CJcP3oEgtfoZeCIiIruYNEmIm78G\n8cs2Ajq9XXMUb7wGz+kjoKxbtYCrIyIiIiIiIiIiejk8GwzVsmXe1xo2bJhL5lAopVIpduvWLaVa\ntWp6nU4nnDp1Sr59+3alXq+HyWTC7NmzVe7u7qbPP/88Ke9HfSolJcVRo9GoNBqNvFu3bhY5CH5+\nfujSpQvKlCmTlpiYqN+zZ4/DX3/95QAAGo1G6Nu3r7uvr+/jxo0b5/hm5IMHDyQdOnTwvHPnjvkP\nYmXKlDF269YtpUSJEsYHDx5IQkNDleHh4TIAePTokeSdd97x3Llzp1iqVClJdmtKJBKTs7OzVqVS\nJQF5/1uoIAhvAJgK4C0A2R3LKAjCTgCTRFG8mOcD0SuLwVBE9FKoW7cuZs6cic8//9zcp9VqsWnT\nJmzatAkA4O3tjRYtWqBHjx7o0KGDzUCcZ/n4+Ng91tvb26IdFxeXYzCUi4uLXWsnJSVZBAFNnjwZ\nkydPtru2Z+uy5vDhwxgyZAguX76c63VTU7MP5sx8vOf5fuYXlUpl3rZWszUpKSnZrpMfteS2nsy1\nWKtHrVZn6evatStcXV1tru3g4IBhw4ZhxIgR5r79+/czGIqIiIiIiIiIiIiIiIiIiIjoBTFpkpD4\nyw4k/PAbDPce5Hq+smktuA3uAWXz2gx3KgYkamd4TR8BdY92iB47F2lnbX9+y6RJwuPx30Kz4Q94\nzf0UjtX4uR4iIso90WiEZv0fiP3qRxijY+2aI/XxgMfEj6Du0RaCJNvzqoiIiIiIiIiIiOgZDx8C\nF5+JBsprMNSWLVsUP/zwg3NGu0KFCoY///wztnTp0sbM486cOaPt2LGj54MHDyQAMGHCBJc2bdqk\nVa9e3ZC3IwOiKCIuLs4tNTVVCQBz587FuXPnzPvbt2+PBQsWwNHREQAUEolEPn78+Lj169dLBw0a\n5KbX65GamopevXq5X7t27ZFSqbRypHQfffSRa+ZQqEGDBiUtXrw4UZrpwinTpk3TTp8+3TkkJMTl\nSX3CsGHDhB07dmS7pslkkmg0GpeUlBSlQuERm5f4HUEQRgKYC9uTpQA6AWgvCMJoURQX5PpA9Erj\nO/BE9NL47LPPsGfPHtSuXTvb/dHR0diwYQPeffddVKxYEbt27bJ77ZxeTGTm7Oxs0dZqtTnOkcns\ne6EQHx9vdx05SU5OzrY/NDQULVu2zDYUysnJCf7+/ihdujTKli1r/pe5flEUs103KelpcOjzfD/z\nS+YwLq1WC4PB/teumf8fsgtdyi2lUmnxPbQV2mWrFmv1KBQKODg4WPQ1atTIrvWbNWtm0f7777/t\nro2IiIiIiIiIiIiIiIiIiIiI8kZ/7wEehyzE7aqdETNpYe5CoRzkUL/XHkGHViFg0zw4tajDUKhi\nRvF6eQTuWgLvb8ZC4pbz55PSLvyHiNaDED1uHowJmhdQIRERvSxSjp/H/VYfInrU13aFQgkKB7h9\n8j5KnlwPl/faMxSKiIiIiIiIiIgoFw4csGyr1YCVaASbjEYjJkyYYD5ZXqlUitu2bcsSCgUANWvW\nNGzYsCFW8uS9PJPJhPHjx7s8O85eoigiNjbWPSMUKjIyEqtWrTLvr1ixIpYsWSI+CYXKOKYkNjbW\n47333jNMmDDB/MesiIgI6fz5822GCRw/fly+bds282LNmzdPW7ZsmUUoVIbx48en9OnTxxx2cO7c\nOezcuROCIIgymcwglUqzBAoYDAZ5bGyMF5B9RoI1giCMBvAtsoZCRQE4++RrZjIA3wuCMCJXB6JX\nHt+FJ6KXSqtWrXDy5EmE/z97dx7nVHW3Afy5S9ZJMjvMwq6AiFasgAru4oIiWDfcSq1Fi/pq61Jf\nq7W17q9VamsV3LV1A0oRC4osolZBq7W4oYAIA8zC7JNtst173j+SySSZTJZhNpjn+/nkk5yTc879\n3dmSSW6e+9VXePjhhzFz5kwUFRV1GPf9999jxowZeO655zJat7W1NeMaYgOQAMBms2U8Nx2r1RrX\nLioqigtoyuYyfPjwDuvX1dXhpz/9KYLBIIBwYNW8efOwdu1aNDY2wuPxoKqqCt9//z2+++676KWs\nrCxt7bEBT/vy9ewuI0eOjN7WNA2VlZUZzQuFQqiqqoq2R40a1e317Nq1K+N5FRUVce3O6knsHzp0\naEbrJ/6c1NfXZ1wbEREREREREREREREREREREWXH95+vUTP3d9g1cTZaFiyCcCc/+VsycmEu8m/+\nCYZ/tgSD/vxrmA49qAcrpZ4myTIcc2Zi6IaXYZ99ZvoJQsD5/DLsPvYyuJa83ekJ/oiIiAAgWFGF\nmivvRNWs6xH4cltGc3JmnoyhG15C4R1XQ7ZZ008gIiIiIiIiIiKiOGvWxLdPPBEwGLJfZ9WqVaZv\nvvkmGkh09dVXe8aOHdshFKp9OycGZ82a5Wtrv/3226Zvv/22Y7JSBtxut83v90eDmv7617/C54su\njQcffLBx6NChNfn5+U2yLEdrEkJITU1NBbfddpuntLRUb+t/4oknUgZDJQZHPfroo87OxjY3N+fd\ndtttUmwo1bPPPqsNHjx476BBg+oGDx5cV1JSUmO32+PW0HVdAUTG+TuSJE0B8FBC97sAjhJClAkh\nJgohygBMAvBewrhHJEnqQhwYDVQMhiKiA9L48eNx8803Y/ny5aitrcXnn3+Ou+++GyNGjIiOEULg\nhhtuQG1tbdr1MhnTpq6uLq6dn5+f8dx08vLyEJteecstt8QFNGVzeffddzus/9xzz6G5uRkAIMsy\nVqxYgQULFuDUU09NuR9tc1KJnb8vX8/ucuihh8a1v/vuu4zm7dy5E5rW/rw4cZ3uqGfPnj1xT4BT\n2b59e6frxBo/fnxc22QyZbR+7BNfABnXRURERERERERERERERERERESZEZoG9z/fReVZ16DyzHnw\nLH8H0PX0EyMMo4ejeP6vMPy/S1Fw21yogwt7sFrqbWpxPgb95Q6ULX8MhrEj0o7X6ppQe+29qDrv\nlwhsq0g7noiIBhbd7UXDvU9i99Qfw/PPdzOaYzx8NMqWP4aSZ++GYVhpzxZIRERERERERER0gAoE\ngPffj+879dSurbVs2bK4D4DPmzcv7dlmrrrqKk9se+nSpebOxnZG0zTJ7XbbYvtWrVoVfWNzyJAh\n2owZM/ySJMFisfiKiorqFUWJfjBf13XZ7/fbLr/88mi9lZWVysaNG5PGYwUCAaxevTpa59FHHx04\n/PDDQ8nG+nw+k9/vN+Xl5eGss86K9n/yySfK3r17pba2LMvCbrd7CgsLG+JXEJFLRv4AIDZY658A\nzhBCfBa3ohCfAjgdwMqYbjUynygjDIYiogOeJEn4wQ9+gDvvvBNbtmzB7Nmzo/d5PB4sW7Ys7Rpf\nfvllxtv76quvordzcnJQXl6eXcEpSJKEsWPHRtt79uzptrUBYN26ddHbp512Gs4444y0c+rr6+F0\ndhqsGRVbd+zXKJ1sxmbjiCOOiGtv3Lgxo3kbNmyIax9++OHdXk8oFMKnn37arfVMmDAhrt3U1JTR\n+o2NjXHtwkIeOEhERERERERERERERERERETUHXS3F81PLsGuoy/B3ivvhO+T7I6TsZw4ESWv/gFD\nP/grHD+eCdmS2YnCaP9kmTIBQ9c/j4LfzoNkTX+cvu+Dz7D7xCvQcN9T0L08GRwR0UAndB3OV1Zi\n19GXoPlPL0H4A2nnKMUFKH70NgxZ8zQsUyakHU9ERERERERERESd+/hjwBMTzSRJwCmndG2tt99+\nO/rG4PDhw7VDDjlESzUeAE455ZSA2dz+HtObb76ZdTCU2+22CSGiIUtVVVWBbdu2RXNrTjrpJL+i\ntOclqaqq5+bmNseu4fF4ck477bS4FyjfeOONpLWsX7/e6HQ6o9ubNm2av7PaXC6Xve32CSecEO3X\ndR1vvPFGhzdSTSZTwGazueN79bQZPJIkTQcwJaarAcDPhBBJX3SN9F8ZGRctUZKk09JtiwhgMBQR\nDTBGoxELFiyAJEUf/7F58+a081avXp3R+kKIuLE//OEPEfvkpTucfPLJ0dvr16/v1rUrKyujtxOD\nkzrzzjvvZDTu6KOPjt7etm0bduzYkdG8VatWZTQuW1OnToXD4Yi2M/0er1mzJnpbluW4xNB9kbhO\nJvXouh4X5nXooYdi5MiRSceec845ce1Mw87++9//xrVHjRqV0TwiIiIiIiIiIiIiIiIiIiIiSi64\nZy/q73ocFT84Dw2/+TNCFdWZTzaosF88HUPefR5lf/8jcqYdA0nmoaADhWRQkX/9ZRj6wd9gnX5c\n+gnBEJof/Rt2Hz8HntUb0o8nIqIDUuvGz7HntKtQ94sHodU2pp9gNCDvhssw7N+vwnHZ2ZC6+Vho\nIiIiIiIiIiKigSjmI+oAgAkTgOLi7NdpbGyU9uzZE33RbvLkyelT4AGYTCYcccQR0bGbN282ZLNd\nIQRaW1utsX1bt26NC2o65phjgonzzGZzwGAwRLcrhJAmTJigqKoaHfPll1+qifMAYNOmTXE1Tpky\nJem+BoNBNRgMRsdOmjRJxN7/xRdfJN1Xm83mliRJxPcG070gOjeh/bgQoi7VBCFELYAn0qxDlBSP\nBiCiASc/Px/FMc+SgsEOzy862Lx5Mz788MO041atWoVdu3ZF27NmzepakSlcfPHF0dtff/011q5d\n221rC9H+vMXny+wscX/6058yGpcYTPTMM8+kndPS0oLFixdntH62jEYjzj777Gj7X//6F7799tuU\nc5qamrB06dJo+9hjj8XgwYO7pZ7JkyejrKws2n7++ecRCoVSzlm9enXcz9uPfvSjTsceccQROPjg\ng6PtZcuWZVTXokWL4tqndDV6loiIiIiIiIiIiIiIiIiIiGiA8322GXuv+h12TZyNlsdfg+7ypJ8U\nIRfkIv+mn2D4Z0sw6LHbYRp/cPpJdMAyDC1B6V8fQMlLD0IdWpJ2fGhXNWou+1/UXHEHQpV7e6FC\nIiLqD4K7qlEz93eomvk/CHyxNaM5OTNOxLANL6HwznmQbdb0E4iIiIiIiIiIiCgjiZEAp57atXW+\n+uqruBClgw46SMt07siRI6Njm5ubpcrKyowzZwKBgFHX9eh4RVG0rVvjX3ccPXp00g/HW61Wb2xb\nkiRzSUlJtJYtW7YkDYb69ttv4/rHjh2bdF9bW1vNCXX4lJjA+8R12siyLMxmc0Kogs+cbGykbhOA\nMxK6n+tsfJpx0yVJMmY4lwYwBkMR0QFh586dGY+trKxEfX19tD1ixIiM5v3iF7+A3+/v9H6Px4Nb\nbrkl2jYajZgzZ07GdWXquOOOw/HHHx9tz507F9XVWZw1EOEwLE3r+Lxn+PDh0dtvvfVW0jGxHn30\nUWzYkNmZ5CZNmoQJEybEzd2yZUvKObfffjsaGzM4M1EX/fKXv4xr33TTTSnH//rXv0Zra2un8xPd\nddddkCQpennhhRc6HStJEn7xi19E23v27MH8+fM7HR8MBnHrrbdG22azGfPmzUtZz8033xy9/emn\nn+KDDz5IOf4///kPXnrppWh75MiROOGEE1LOISIiIiIiIiIiIiIiIiIiIqJ2QtPgXvEeKs++FpVn\n/Bzu198B0hyTE8tw8DAUPXwLhv/37yj49VyoJUU9WC3tb3LOmIqh//or8m64DFDTnbwY8Kx8H7um\n/BjNj78KEUx90joiItp/6W4vGu5/GrunXA7P8ncymmM8bDTKXv8zSp6/F4bhZeknEBERERERERER\nUca+/x5IjEM47bSurbV9+/a4kKNhw4Zl/KbP0KFD496o/O6779K/wRTh8/lMsW2j0ejfsWNH3PwR\nI0YkfSPUbDbHhTQEAgFTeXm53tauqKhIGtwUu74syxg2bFjS9f1+f1yYU05Ojm/w4MHR9Xfu3Jl0\nfQAwmUxxtQnh7zQYCsBJAHJi2luEEBUpxsesK3YC2BbTZQdwYiZzaWBjMBQRHRBGjx6Nyy+/HOvX\nr4eu652Oa2xsxOWXXx4dI0kSZs2alXZ9WZbxn//8BxdccAGampo63F9XV4dZs2Zh8+bN0b5bb70V\nxcXFXdib9BYsWACbzQYAqKiowKRJk7By5cq087777jvcd999GDlyJOrq6jrcf8YZ7QGV27Ztw/XX\nX49QqONzwWAwiPvuuy8apCTLmT2c/OEPf4je9nq9mD59Or744osO4zRNw29/+1s88cQTGa/dFZMn\nT8Z5550Xbb/11lu48cYbk/4MPfzww3jqqaei7aOOOgrnn39+t9Zz/fXXo7y8PNq+88478dprr3UY\n5/P5cOmll+LLL7+M9l133XUYMmRIyvXnzp2LQw45JNp+7LHH8PHHHycd+8knn2DGjBlx3/+77roL\nqtrp814iIiIiIiIiIiIiIiIiIiIiitDdXjQ/9XfsOvoS7P3pb+D795fpJ8WwnHAUSl55CEM//Bty\nfzILsjXV8cc0kMk5FhTeOQ9D330e5ikT0o4X3lY03PUE9pz6M7R+3PHYLSIi2n8JXYfztbew65hL\n0fzHv0L4A2nnKMX5KP7j/2LI2qdhmXpkL1RJREREREREREQ08KxZE98ePBg47LCurdXS0iLFtgsL\nC0Wmc/Pz8+M+RO90OjP+IH8wGDTEto1GYyBxflFRUdKgB0VRdEVR4kKd8vLyonUHg0H4fL4O81wu\nV3R9m80mDAZDhzFCCIRCobgPwBuNxmBubm60FrfbLXWYGLMf8T0hFej0S5r4ZtyGzgZ24sM06xF1\nwHQHIjoghEIhvPzyy3j55ZcxePBgTJkyBRMmTMCgQYNgsVjQ2NiITZs24fXXX4fT6YzOmzdvHsaO\nHZt2/dtvvx33338/VqxYgTFjxmD27Nk47LDDIITA559/jkWLFqG5uTk6/sgjj8Qdd9zRI/sKAOPH\nj8ff/vY3zJ49G4FAAJWVlZgxYwbGjBmDadOmYezYsXA4HPD5fGhoaMA333yDTz/9FFu2bEm57s9+\n9jM88MADqK2tBRAOoFq7di0uvPBCHHTQQfD7/di6dSuWLVuGiopweOXVV1+Nt99+O9pOZdq0aZg3\nbx4WLlwIANixYwcmTpyImTNn4rjjjoPdbseOHTuwZMkSbN26FUA4HOn3v//9vny5UlqwYAE+++wz\n7IzErD766KN48803cckll2DIkCHYu3cvli5div/+97/ROQUFBXjllVcgSZ0+B+wSi8WC1157DdOm\nTYPf70cgEMAll1yCp556CtOnT0deXh62b9+Ov/3tb6iqqorOmzRpEu65556066uqiiVLluC4445D\nS0sL/H4/HnjgARx66KG44IILMGLECDQ1NeG9997DihUr4gKyrrjiCsyZM6db95eIiIiIiIiIiIiI\niIiIiIjoQBOq3IuWZ5bC+dd/Qne6s5tsUGE/bxpy582G6bCDe6ZAOmAZx45E2et/hnvx26i/63Ho\n9c0pxwe++R5VM66D/ZKzUPi7a6AU5vVSpURE1BNaP/4CDb95DP5N32Y2wWhA3s8vRP6NcyDbc9KP\nJyIiIiIiIiIioi5bty6+fcopQFc/pp4YcmQ2mzMOhrJYLHFjUwUmJdI0LS6fxmAwhDweT9z8xPVj\nqaoa0jRNaWubzea4uS6XS0rcl9j1TSZT0rU1TVOEENFxkiQJVVW12FoS60yoS0M4CSoyRkiApnQS\nxzMuob25s3U7kTg+cT2iDhgMRdSNQiFgz56+roL27t2LZcuWYdmyZSnHzZp1GW688U+I5AHFSfw+\njh9/Ku64oxD33Xcz6uvr8fjjj3e67pgx4/H002+jpqbzs/TV18e3k9WQzoQJ5+Lll9/BtddegLq6\nGgDA1q1bo4FK6ezZI6NjcKYdjz32d1xxxZlobfUCALZt24b7778/6RrTps3EzTc/hpUrx0T7mptT\n788tt/wFe/Y0YcWKRQDCCZ5Lly7F0qVLO4w9++yLMGfOb+OCoerru/b16twgPP30m5g79xxUVGwH\nEP46dhZGVVQ0GAsWLIXROCZtHc0Jx1ZlUvuQIcfh0UdfwS23/AQeT/jgwPXr12P9+vVJxx9++FF4\n/PF/Yu9eS+qFI2y2w/D00ytw7bUXoL5+LwBg8+bNuPvuuzudc/nl1+COO/7czV93IiIiypbLJcU9\n5ldUSLDb+7AgIiIiyggfw4mIiPY/tbVK3OP37t0K/P4+LIiIiIgywv/Bqa+Jr7+BeHUxxNr1gKal\nnxAr1wHp/HMhXfgjeIuK4AWAnT1QJA0AEnD0mcCiqZCeeBLiH28AIvVnAVyvvgnXmx9A+p95kGae\nDUnO+MTQRPuMj99E+07U7IV4bAHE6nXpB7c5+UTIN1wD15ByuBoANPRYeUR0gOJjOBER0f6Hj99E\nRLSvhgwBVKaTdInLBXz0UXzftGldX8/n88WFHBmNxoyDoRLDlbxeb0bBULquIzbUCQAURdGS1NLp\nGrIsx72JajQa4+ZGaomrL3b9zvYzFArF/WS2bSd2fGKdndQWs05I7SSOZ2xCe3eqdZNIHJ+4HlEH\n/NNL1I327AFGjuzrKgaqVwCsBLAeQFWasccAuBXLl/8Iy5dntvollwDALwEcBuBXADYlGZUD4Bps\n3Xo3Jk7MLKSnTdd/bqYC+A7A4wAWAtiRYqwM4EgAZwP4MSZNGtTJuOMB/BvA9Qh/PZM5CMAtWLt2\nHsYmPN3405/Cl84pAF4DMA3AbwFUJxlTDuBWrFx5A1aujL/nV78KX7rXOACfA7gTwAsAmpKMyQFw\nIerrH8KFFxZ3aSuZ134ewt+rmxH+uQ4kGVMK4Bp8+eVtmDzZkGUlxyEcKHoHgFcBtHQy7hgAv8NL\nL52Jl17KchNERETUA+wATu/rIoiIiChrfAwnIiLa/wwCH7+JiIj2R/wfnHqfDA2nGj/ElZZFmGT4\nIuv534eG4nnfRVhWfyZ8D5mBh3qgSBqg7ABuwRHqdNxtewTj1W2ph7c4Ie57CJ/e9SZ+674ZW7SD\ne6VKIj5+E3WdBa242voyrrK8CrOU7DjTjjaHDsb9nuvx0ZIfAkt6uEAiOsDxMZyIiGj/w8dvIiLa\nNzt2ACNG9HUV+6f33wdCofa2wQAcf3zX1zObzXEBSYFAIKNwJwDw+/1xY61Wa0ahUrqudziziCzL\nepJaYLEkz1lQFCUuGCqTWmLX72w/NU2Lq61tO7HjE+tMUpse39NxfyMSAxr2pFo3ico06xF1wGAo\n6tfcbjecTmdfl5Exl0tC+B9k6n2XRC5AOCjxa4RPm9cMQEf4+zIcwEQAZfuwnWkA/gvgS4SDhKoA\nmAGMiNxnzXCdKyKX7pAD4NbI5TsA/wFQh3DYjxlAAYDRCIda5WW45ngA7wDYDuBDhMObFITDiA4B\ncFTC+J1dqHsugCsB/AvANwiHMQ0GcDDCwUWxz5cyDirdBzkA5gN4EMD7CO9THYB8AMMAnBgZk427\nIpeuGAngHwAaEf4a7QHgQvvXaCriv0bZKgCwAMCjkfUrANQi/DNcivD3YF9+V4iIiIiIiIiIiIiI\niIiIiIgOTFZ4cb75TfzUsgTDlHQnsetoY+CHeK71IrwbPBZin47/IErt89B4nNf8FC4zv46brE/D\nJntTjj/K8BWW583Fi74L8GfvlfCITI+HIyKi3iJBxyzTatxifRIlSn1Gcxr0PMz3XIUl/rOhQ+nh\nComIiIiIiIiI6EDkcrngdPbG570PPG++aYIQBgASJAk45hjAahXQ9bRTIUT81zwUCilWqzXuDUaP\nx6MEg8FOs2NkWdbbgo9aW1vjwpVsNltG31QhRNw2JUkSkiQhJycnbn5ra6tksViSrilJUly/z+eL\nu99ut3eYF7t+YpBUTG1x/W3bid3XxDrT1QbonYVt2RLanlTrJpE4PnE9og4YDEX92r///fqTw6YA\nACAASURBVG/U1NT0dRkZ27vXAqYm9wdDI5eedHjk0t8cHLl0l4Mil54iIxy4dGIPbiNbRoRDvvqL\nAgCzenB9E/rX/hIRERERERERERERERERERH1TyVyLX5sXoqLzW8gV3ZnNTcoFKzwT8PzrRdhszam\nhyok6kiDir/6LsCqwEm4PecxzDC9k3K8Kmn4mWURzja+g3s912NV4CQAGZ9omoiIetCR6le4I+fP\nmGD4JqPxAaHihdYL8UTrHLgFP19ERERERERERERdt3HjRnz/fWtfl7Hf0XVg5cqT4PcLGI0GADJO\nOimEQEDLaH4oFIprNzU1FRiNxri+mpqa3Lq6uk7XsNlsbofD4QKA5ubmuIAnh8ORQTxV5+FLifMb\nGhrkgoKCpDuXGL7U0tISrcVgMMBsNneYY7fbo+t7PB4pGAzCYDCkqw0A4HQ6o/3pArA6BkOJTIOh\nfElHdS7xl4gv3FJaDIYiIiIiIiIiIiIiIiIiIiIiIiIiIurEeGULrrQswlmmd2CQMjtIu02zbser\nvll4yXce9urFPVQhUXq1ehF+6fo9lvhm4C7bfIxU9qQcX6LU4S+O3+K9wNH4vftG7NLLe6lSIiJK\nVCrvxS3WJzHLvCbjOWv8x+FBz3Wo0If0YGVERERERERERESUit+vwu1uC3IKZw0NGZIyoyitoUOH\nxrUrKysznrtr1y4ltn3wwQdn9OZnYvgSAAEAI0aMiJtfUVGhjB49OqNgqD179kTXHD58eKjjjPD6\n7733HgBA0zTs3r1bGTVqVNz6yWoLBoOoqalRYtZJun7i/sQ0OwuGSkyvCqRZN5E/oW3Jcj4NQHL6\nIUREREREREREREREREREREREREREA4cMDdOM/8Iruf+D5flzMcu8JqtQqB3aEPzWfROOb1yKR7w/\nZygU9RsfBifh7KYX8KjnSviFMe34E40f4838ObjO8gKMWR/bTkRE+8KCVtxgfQ6r8y/LOBTq29Ao\n/Ljlj7jG9QBDoYiIiIiIiIiIiPqYxRLCQQc1AwB0XQcAvP/+vsW8jBkzJq69Y8eOjOfu2LEjGpaU\nl5cnysvL9UzmJYY6IZJyNX78+LjApa1bt6qdrREb4OTz+bB3797ofWPHjk0a3DRu3Li4/i1btiiJ\nY5LVtn37dkXT2t/bPeSQQ9IFQyUEQXVYs40voZ3+zbZ4pjTrEXXQ6S8VUX8wefJkjBs3rq/LyFhF\nRWfBf0RERERERERERERERERERERERNTfWdCK881v4QrLEoxQ9mQ9/6PAkXjONxvrA8dC8Nyd1E8F\nYMJfWn+Kf/pPw+9sf8QJxn+nHG+WArgx51nMMq3G7zw3YWNwYi9VSkQ08EjQYZc8OMm4EbdaF6JE\nqctoXqOei/neq7DYNwM6Onw2ioiIiIiIiIiIaJ8ce+yxGD68s6wcSmXbNgMeeSScHyRJwLvvKjAY\nZEgZRFPIcvz7jfn5+Y3FxcVaeXl5YWVlpQwAn332mVZcXNyYYg0dAPx+Pz7//PNokNG4ceOCme5D\nYvhSW8jTkUceGbfGRx99ZLj22muTrhEbDLVp0yaEQu1ZTYcddljS4KYJEybErb9hwwbj9OnT485k\nkqQ2/Otf/4oLbDr88MNT7mtsbZFVO/thdwOwxrTNqdZNwpJkPaKUGAxF/ZrNZoPD4ejrMjI2bhyQ\nRaAi9WN79gDHH9/efvVV4Jhj+q4eou7mcrmwcePGaPvYY4+F3W7vw4qIiIgoHT5+ExER7Z/4GE5E\nRLT/qa2txaZNm6LtCRMmYNCgQX1YEREREWWC/4PTvhK1dRCLl0IsewNwurKbrCiQTj8V0qUXYeoh\nYzG1Z0ok6gFDIMTDwLp3oc//M1BXn3L0KHU3/pZ7I6QzpkH65f9AKirspTrpQMXHbzrQCZ8faGkB\nWpzRa9HSAjidQHO4T7Q44+6HywXoeuYbUVVIsy9A0c/m4AG7HQ/03O4QEUXxMZyIiGj/w8dvIiLa\nV0OG2KEynaRLzj4bmD+/vV1ZCWzbJuGQQ9LPlRLSo1RV1QwGQ+iMM87wPffcc1YA2Llzp7Jjxw4x\nZswYLdVa77zzjtHn80XbZ511li/F8MQ64l60FEJIQgiMHj1aGz16dGjbtm0qALz77rsmXdc7BFq1\nzWm7/f7778fdN3PmzKS1nHTSSQG73S5cLpcEAGvXrjXdc889cWFKyUKr1q5da2pry7KMmTNn+lPt\nX8dgKDlVMFTswYQ5qdZNInE8g6EoLf7pJepGqgqMGNHXVVBPKCnh95YOLE6nwPfft0bbw4cL7Ec5\nfERERAMSH7+JiIj2T3wMJyIi2v+YTBqqq9sfv4cO1VBa2ocFERERUUb4Pzh1lf/zLWh+cjHcy9YB\noZTHSncg59rg+Mks5M49H2ppcQ9VSNTTJGDuydBnT0bj/z2LlqeXpg0kEW+vhbRhI/JvvwqOn54L\nSVF6qVY60PDxm/YXQtOgN7ugNTmhN7ZAa3JCa2yB3uQM90Xa4dst0BrD18IXSL/4PrCeeRwK77oW\nxoOG9uh2iIgS8TGciIho/8PHbyIior5zyCFAeXk4EKrNunXIKBiqMz/60Y+iwVAAsHDhQuv8+fNT\nnv3m6aefjgslOv/88zMOhpJlucObR7quy4qi6Oecc45v/vz5NgDYvXu3snLlStM555zTIYhJ0zQF\nAEKhEBYtWhTtLysr04855phgsu2aTCacfvrpvqVLl1oA4KOPPjJ+9dVX6mGHHRZqG6MoSlxtDQ0N\nyhtvvGFsa0+aNClQVlaW8s0vTdMSkqw67m9ELYBRMe0hqdZNojzJekQpMRiKiIiIiIiIiIiIiIiI\niIiIiIiIiAYMoevwrt6A5gWL4NuwKev5hpFDkPvzC2GffSZkmzX9BKL9gGzPQdG9N8A+ezrqbn0E\n/k+/Tjled3lQ/+tH4XrtLRT94WaYjxzXS5USEXWdEALC0xof8NTUAr0x5rrZGW23BTzpLf3rpO2G\nQ0ai6J7rYT1pUl+XQkRERERERERERGlIEjBtGvDii+19a9YA113X9TWnT5/uHzduXOibb75RAeDJ\nJ5/Mueaaa7yjR49Oeiac9957z7B8+XJzW/v000/3jxs3LunY7du3KwcffPCgtvaUKVMCH374YYOi\nKFpbuBMQDnpSFEW//vrrPY8//rjN7w9nQd12222OM844o85oNMatq+u6AgALFy5ETU1NtP/aa691\ny3JCLlOMG2+80dMWDBVpO9asWdPY1lZVNRQ7/r777lN9vvbMqxtuuMHT6eIJtbWLXzPGFgDHxLSH\npVs7QeL4b7OcTwMQg6GIiJIYMWIEhBB9XQYRHaBEMIRQZS2Cu6oQqqhGqCoc6KqWFkMpKYJaWgy1\ntAhyYR4kSerjaomIiIiIiIiIiIiIiIiIiA4MuqcVrkWr0PLkYgS/35P1fPOUCci7Zjaspx0LSVHS\nTyDaD5kOH43ylU/A9dIKNNyzEHpzypNLw//5FlSe8XM4rpiFgjuuhpJr76VKiWigE8EQtMYW6E3O\ncNBTJMhJa4r0NbZAb3ZBiwRA6Y0t0JpdQCDpief3C3JBLgpu+xkcPz4HksqPghAREREREREREe0v\nTj01Phjq00+B5mYgL69r6ymKgnvuucd5wQUXFACA1+uVZs6cWfDWW281jBgxQo8d+9lnn6mXXHJJ\nga6Hu2VZxn333efswjZDscFQwWBQNRqNwREjRuhz5871PP744zkAsHnzZvWiiy7Kf+2115rM5mgW\nFUKhkPr666/jkUceifaVlpbqN910U8rgpqlTpwZnzJjhW7FihRkA1q5da7r22msdjz32mFNRFCiK\nokmSJIQQ0sKFC/HSSy9F5x5xxBHBiy++2Nfp4uG6FAAxH+aWBKAkDc1CxyCnQ1OtnUTimVYYDEVp\n8d0AIiIiom4mdB3a3gYEK6oR2lWF4O4ahCqqEdxVjdCuaoQqawFdT7uOZDJCKSmEWhIOilJKi6GW\nFUMtKYZSGgmQKimCZDT0wl4RERERERERERERERERERHtn0I19Wh5ZimcLy5PG3LTgarAdu4pyJs3\nG6YjxvZMgUT9jCTLcMyZiZyzjkfD7xfA9dpbqScIAefzr8Oz4j0U/v462C44nSdDI6KMCSGgO93Q\no6FOLmiRkCc99rrJGQ2B0hpbINzevi6996gKcueej/xbrmAAHxERERERERER0X7ouOMAsxnwRSKK\ndB14913g3HO7vub555/vnzt3rveZZ56xAsC3336rjh8/ftBFF13UesQRRwSDwaD08ccfG9544w1L\nMNgemH/33Xc7J06cGMp2ewaDIRgIBExt7UAgYMzJyWkFgAcffND14YcfGjdt2mQAgOXLl5tHjRo1\n+OKLL/aOGjVKa2xsVFatWqVs3Lgxup7JZMIrr7zSaLFY0m77qaeeajn66KMNu3fvVgBgwYIFOatX\nrzZfeOGFrUOGDNH27Nmjr1ixQvnqq6+ic/Lz88Urr7zSJMtyyrUDgYAxvkcNxeVExduU0J6Stvh4\nU9OsR9QBg6GIiIiIsiSEgN7kDAc9VVQjuKsKoV3VkSCoaoT27IXwB/Z9O/4AQhXhbaSiFOdDKYkE\nRZXGhEbFtGWHjQfcERERERERERERERERERHRgOL/Yiuan1wM97J1QDC7Y5vlXBscc2Yhd+55UMsG\n9VCFRP2bUpSPQY/dDvulZ6Pu1kcQ/HZHyvFaXRNqr70XzlfeRPFDN8E4engvVUpE/YXu84fDmxpb\noiFObW2tyQm9MSHgKRIEBa2zk68PbJLFBOvpU1Fw289gPHhYX5dDREREREREREREXWQ2h8Oh1q5t\n71uzZt+CoQBgwYIFLS6XS1q0aJEFALxer/TCCy9Yk42VJAk33nij+4477vB0ZVtms9nv8Xhsbe1A\nIGASQkCSJNhsNrFixYrGs846q+CLL74wAEB1dbX8xz/+0ZZsLZvNhmeeeabppJNOCia7P1Fpaam+\ncuXKxpkzZxbs3LlTAYDt27crDz74YNL1i4uLsXjx4oZDDz007YvPfr/fFNuWJJNPiE6HvwvAAyAn\n0h4jSdJwIURFuu1IkjQCwOiYLldkPaKUGAxFRERElITu9oaDn2ICn8LtKgR31fSrs41pdU3Q6poQ\n+HJbp2MkqwVqaRGU0mKopUVQS4qhlhW3t0uLoQwqgKQovVg5ERERERERERERERERERFR9xK6Du/a\njWhesBi+Dz7Ler46ohx5P78Q9ounQ7YlPWaaaMCxHHsEhr7zHJoXLkLTwy9AeH0px/s++Ay7T7wC\nedddgvwb50C2mnupUiLqLkLToLe4w8FNje0BTlpTC7RGJ/TE6+Zw0FO6vw8DneywQS5wQMnPhZxn\nh1KQCyXfATnxOt8BJd8BZXAhZLMp/cJERERERERERETU7516anww1Pr14cz8fflYr6qqeO2115pn\nzJjhu//+++3ffPNN0gyZiRMnBu+55x7nmWeeGejqtoxGY0CWZV3XdRkANE1T/H6/0Ww2BwCgvLxc\n/+STT+rvvvtu29NPP51TW1srJ1kD06ZNwwMPPOD6wQ9+kNULyocffnjoiy++qLvtttvsr7zyirW5\nuVlKHGO1WjFjxgz85je/EePHj0975iBd1yWfz5fwRpbZ39l4IYRPkqTVAH4U030lgN9lsAtXJrRX\nCSG6/P2ggYPBUERE1ONEMAStvglabSN0ry/8pnVhHpQCB0NoqM8IfwDBPTUIVVQjuDty3RYEtasK\nekNLX5fYrYS3FcHtuxHcvrvzQbIMZXBhe1BUSRHUskHt7UiglJxj6b3CiYiIiIiIiIiIiIiIiIiI\nMqB7fXAtegstTy5J/d54J8zHHIG8ay6C9YypPJ6FKAnJoCL/+stgO/dU1N/xJ3jf+iD1hGAIzY/+\nDe5/rEXRA79EzulTeqdQIuoS/5fb4HxxOVo3boJW1wS92QWkOCX6QCeZjOHwpgIH5PyEMKeC3Mh9\nudG+8Bg7JJUf3yAiIiIiIiIiIhqopk0Dfv3r9nZzM/DZZ8CkSfu+9uWXX+67/PLLfZs2bVI3bdpk\nqKyslBVFQXl5uXb00UcHx4wZo2W61kEHHaQJIaoT+yVJgsViafV4PDltfW63224ymRokKZzRZDQa\nce+997rvuusu9/vvv2/cunWrUl1dbTSZTNbS0lJMnjwZBQUFYtCgQd6u7KfdbhePP/64c/78+c51\n69YZd+zYodbV1cn5+fl6cXFxzuTJk1Wr1QoAktvttjkcDleq9dxut00IIQGxGVOGdIFSzyI+GOo6\nSZL+IoSo62yCJEmDAFybZB2itPjOAhERdYkIBKHVNSJUFw580uqaoNVFrmsbwv2Rtt7kTL6IJEEu\nzIVSlA+lKB9qUR6UonzIkevwJXK7OB+yPQdtTwyJ0hGahlB1PUIVVTGBT9XRACitpp4HriTSdWjV\nddCq6+DHN50Ok3NtUEqLoZaEA6PUsuJwOxIcpZQWQynMhSR3CPMlIiIiIiIiIiIiIiIiIiLqVqGa\nerQ8+w84X1ze+TEqnVEU2GadjNx5F8F85LieKZDoAGMYWoLSvz4Az9sfov7XjyK0uybl+NCuatRc\n9r/IOfsEFN13A9Tywb1UKRGlIzQN3tUb0PzkEvg+/G9fl9M3JAlynj0c3lSQGxfipOTnQi5wxF0r\nBQ7IeQ5IVjOPZyUiIiIiIiIiIqKslJcD48YB38R8fHfNmu4JhmozYcKE0IQJE9IFG3WZzWZze71e\nazhMCQgEAka3222z2+3u2HGqquKUU04JnHDCCXJDQ4Nd09pzqXJycjyKouiptlNVVVUa2y4oKGgw\nm82BtrbJZMJZZ50VABDt8/l8WmNjY0Fb2+1220wmk99kMgWQhN/vN7rdblt8r5yyLgAQQqyUJOkj\nAMdEugoBPCtJ0vlCiGDieEmSjAiHQBXGdP9LCPF2um0RAQyGIiKiGMIfiAl0aoRW2xb61BgX9KTV\nNYbPBrXPGxTQ65uh1zcjiB3pxxsNUArz4sKi4sKjEm7LFtO+10j9lhACWl1TTOBTbABUDUKVe4Fg\nj/3v0m3kojwYhpYCsoRQdT20vQ2AlnHwbp/QW9zQW9wIfpvi99ZoCAdHlRS1h0aVFUeDo8IhUkWQ\nTMbeK5yIiIiIiIiIiIiIiIiIiA4Y/i+3oXnhYriXrc36+ADZYYNjzjnInXs+Q2qIuijnjKmwHH8U\nmua/iObHXwVCqY938ax8H971nyD/V1cg7+cXQTLwEGaivqK7PHC+8iZanvk7Qjur+rqcbiNZze3B\nTgXt10p+LuS2oKd8B5SCmGtHDiRF6evSiYiIiIiIiIiIaIA49dT4YKh164Dbb++7erKlKIpus9nc\nLpfL3tbncrnsmqYpdrvd1Rb4JISAz+czt7S0OHRdj74IK8uybrPZ3MnW3ldms9lvNBr9gUAgGjDQ\n0NBQ6HA4nFar1SvLsgAAXdclj8djdblcjvgVpMglI78C8B4AOdI+B8BqSZJuFkJ8Fl1Rko4C8AiA\nE2PmagBuzWrnaEDju6pERAc43eePhjlpdU3Qahug1TYhFBPyFO5vhO7skedR3ScQhFZdB626LqPh\nUo4lJjwqH0phbvvtxFCpwlxIKh8W+xutxYVQRTWCu2sQ2lWFYEV1exDU7hoIr6+vS0xLsllhGF4K\ndVgpDMNKoQ4ra28PLYFss8aNF5oWDryK/KyHquoQqq5DqKY+3K6uR6iqDsLb2kd7lKFAEKFIUFcq\nclEe1JJIUFRpMZRIeJRa2hYoVQw518azqxEREREREREREREREREREYSuw7v2I7QsXITWf32WfkIC\ndUQZ8q6+EPZLzurwfj0RZU+2mlH4m5/DfuHpqLt1PnwbNqUcL7ytaPz9ArgXv42ih26G5Zgf9FKl\nRAQAwZ1VaHnm73C+vBLC7e3rcjqnKOFgpzxHOOipIDdyHQ55Coc/JQQ85dkhm3kyUSIiIiIiIiIi\nIurfpk0D/vKX9vY33wCVlUB5ed/VlC2bzeYOBAJGv98ffVHW6/VavV6vVVEUTZIkXdM0VQgR98Fg\nSZJEfn5+Y1tAU0/Iz89vrq+vL9I0LRpG5XQ6HS6Xy64oigYAoVCoQ6CALMsakPkHmYUQH0iS9GsA\n/xfTfRKA/0iSVAWgGkAZgNIk028VQnyU6baImIBB1I2ECD8GMbyCepre6g8HOtU2RoOdQnWN0Gqb\nOvTrLk9fl9tnhKcVIU9rxme0kvMd8WFRbQFShXntfZFAKTnXBkmW0y9KKemtfoR2V8cHPlVUI7ir\nCqFd1dBb+nlYGQDJZIQ6tCQc9BQXABW+lvMdWT0uSIoCtaQIakkRcOS4pGOEENBdnvagqOo6aFV1\nCNXEtKvroNU1dddu9hi9vhmB+mYEvtrW6RjJaoZa0hYUFQ6QUkuL49rKoAKGuxERERERERERERER\nERERHaB0rw+uJW+jZeFiBL/blfV889E/QO41s5Fz5lRIipJ+AhFlxTh2JMpe/zPcS95G/e8eh17f\nnHJ84JvvUXXOdbBfchYKf3cNlMK8XqqUaOARQsC3YRNanloCz1sfAKLHPm+TlGzPCQc65XUMc4qG\nPuW1hz7JBQ7I9hwei01EREREREREREQHpB/+EMjLA5pj3kpZtw6YM6fvasqWJEkoKChobGpqyvP5\nfJbY+yKBTB3ekJUkSc/Pz28ymUzBnqxNURS9sLCwobGxsSA2AEoIISULhAIAVVVDOTkFDYBUnM22\nhBAPSZKkIRwOFbvPZZFLIg3ALUKIR7PZDhE/PU/UjbyrPkDNlXdCzrFAslog54QvUk7ibSskq7lj\nX9s4qxmSLdwXXsvMA5IGAN3TCq0uEuxU14hQ2+3apg4BUP36TE37Mb3JCb3JieC2ivSDVSUSGBUb\nJJUQKFWUB6UwfC3lWAbkgQoiGEKosjYc9FRRjeDumpgAqCpotY19XWJ6igK1fBDUoSXhwKfhMcFP\nw8vCgUS9HBImSRIUhw2Kwwbj2JGdjhOBIEJ7G2ICpGoRqq5vb9fUQauuh/AHerH67AmvD8Hv9yD4\n/Z7OB8kylEEFkdCoIiglxVDLIrcjQVJqSRHP+EpEREREREREREREREREtB8J7W2A87llaHnhdeiN\nLdlNVhTYZp6E3HkXwfzDQ3umQCKKkiQJ9ovOhPX0qWi870k4X3wjbQCN69U34Vn1AQrvnAf7ZWfz\nRH1E3Uj4A3AtW4eWJ5ekPGlfxowGKLHBTvmRoKdImJOSnwulwAE5zxG+zg8HP0kGflyBiIiIiIiI\niIiIqI2qAiefDCxb1t63du3+FQwFRMOhmr1er8/tdts7C12SJElYLJZWu93uUhRF743aVFXViouL\n69xud47H47Hpup70DShZlvWcnBy3zWbzeDxdCwEQQjwiSdI6APcCmA4g2bZ0AG8C+I0Q4vOubIcG\nNr7TQtSNdE8rENKgt7iBFje0blxbsphigqOShU1Frq3JwqisMfebo32S2Tggg2p6k+72RsOe2oOe\n2kOetNr2fuFp7etyKRshDdreBmh7GzIaLllM7aFRHYKkEgKlCvMgGQ09vAPdQ+g6tNpGBCuqYgKf\nIte7qhGqqgO07vxr2DOUQQVQh5e1Bz7FBkCVDdpvD06RjAYYhpbAMLSk0zFCCOiNLZHgqDpoNXUI\nVdUhFAmPamvrza5erLwLdB1aTT20mnr4/9v5MNlhg1JaFA2KUssGxbWV0uJwmBsPNCQiIiIiIiIi\nIiIiIiIi6jP+r79Dy8LFcP1jLRDI7qSxsj0H9jnnIHfuBTAMGdxDFRJRZ5Q8O4r/cAvsF09H3a8e\nQeDL1IE0epMTdTc9BOerb6L4oZthOuzgXqqU6MAUqm2E88XlcD6/DFpdU9bzzUf/APZLz4JaPjgm\n/MkxYE+OSURERERERERERNTdpk2LD4b64APA5wPM5r6rqausVqvParX6QqGQEggEjJqmyUIISZZl\nXVXVkMlkCnTlteWysrLqfalLkiTY7XaPzWbzBINBQzAYNGiaJgOAoii6wWAIGgyGYHe87i2E2ARg\nhiRJRQCOAzAKQA4AD4DtAD4UQtTv84ZowNo/Uw6I+inh9fXc2q1+iFY/9Prm7ltUluODpaxmyLEh\nUonBU9aOfbLNGg2cio5TD9w/LUIICE9rJNCpLeSpqT3oKSEAqid/JvoVRQkHGhXnQykugFqcD2VQ\nQbg9qDCuX7JZoTc5w1+v+rZLc/LrukYIX6Cv965biFY/QrtrENpdk9F4OdcGpTCvPSwqMUAqJlRK\nzndAUpSeqVsI6E3OmMCnSABURST4ac9eCH///x7JefaEwKcyqENLYBheCnVoKWSLqa9L7DOSJIV/\n1grzUh5Yp3t90GrC4VGhmnqEqmqhVbe3teo6hGoa+n0QmO50Q3e6Edyys/NBqhI+qCnXHj6wKc8O\nOc8OJS98oJOca4eSbw+f3S4vZkyufb8NESMiIiIiIiIiIiIiIiIi6mtC1+Fd9zFaFi5C6/v/yXq+\nOrwUuVddCMdlZ0O2WXugQiLKhvmo8Riy+im0PPc6Gh94GsLtTTne/8lX2DNtLnKvOh8F//sz/h4T\nZcn/5Ta0PLkYrmXrsg5VhEGF7dxTkHv1hTBPOKRnCiQiIiIiIiIiIiIiAMDJJwOyDOh6uO3zAR9+\nCJx6at/WtS9UVdVUVW3t6zoSSZIEo9EYNBqNWb5wnr1I+NPrPb0dGnj4yXWibqR7Uh+40O/oOnSX\nB3B50J0xHpLJ2B4S1RYgZTVDioROxYVN5VggWy2dhFHFhE5ZzT12piEhBITbi1BtW9BTfNhTYgCU\naPX3SB39jqpAKQ6HO6mRa6W4IBz4NCi+X853QJLljJeWS4uhlhanHRcN4moLimpo7iRQqu12c78P\npcmU3uKG3uJG8Ps96QfLMpTC3PbAqMKYAKnihECpSDhX3HRfAKEtO+FpcIYDn3ZXh4OgIgFQ6Q7K\n6g8kqzkc/DS0JHw9vBTqsLJoEJTisPV1ifs92WqGPGoIDKOGdDpGaFr472ZbUFR1EEgdWAAAIABJ\nREFUOEAqVF0Praa9LTz97n+7eCEt8jc/+zPmSTZrNFSqLTyqPVTKHgmZcnQInuIZ9ai/E0KEX2kS\nItIRvSPuWnR2f5Kxif0i8f5OttFxm2nGdbb9TOen21dkWi/i5yX92qReI+h2w7yzBrrVjEBxLoiI\niIiIiIiIiIiIiA4Eeqsf7iVvo3nhYgS3VWQ93zz5cOReMxs504/rsRNrEVHXSKqKvKsvgG3mSWj4\n7V/gXrYu9QRNQ8vCxXAvX4+ie69Hzjkn8XgKohSEpsH79odofnIJfBs2ZT1fLsxF7k/OheOn50It\nKeqBComIiIiIiIiIiIgoUV4eMHEi8O9/t/etXbt/B0MRUc9hMBRRN9L7e9BFLxH+AIQ/AL2xpfsW\nlSRIVnMkOMraHiwV7bN0HjyVY4HwBZIEPcWEPfkC3Vdrf2ZQoRQXQC3Ojw96Ki6AMig+AErOs2cV\n9tQTJEmCZLNCtllhGFGWdrzQdegt7nBQVF1MYFQngVJ6k7MX9qIX6Hp2ITZGA+SCXBysAGqLB6q7\nFdnH3/QyVYE6pCQS+FQaDXwyDAsHQClFeTwIrB+QFAVqSVH4IKEUZ47TXR6E2oKjquugVdUhFAmO\nCgdK1YV/nhNDXfYDwu1FyO0FdtdkN1FVwmFR0SCpSGhUTHiUHBsq1TYmzw5J5VN66kiEQtDdrRAe\nL3S3F7qnFbrbCxG5jrZT3dfWdnshvL798nfyQHRw5DqYmwPPjythnXsB1PLBfVoTERERERERERER\nERFRV4T2NsD5/DK0vPA69IYsjzNSFNjOORG58y6C+ajxPVMgEXUbtaQIg5+6C/ZLz0b9/85Pe7I8\nrboOe3/2W1hOORrFD94Iw8jyXqqUaP+guzxwvrwSLc/8HaGK6qznG8eNQu7VF8J2/mmQLaYeqJCI\niIiIiIiIiIiIUpk2rWMw1P33A/yoNBEl4qfIibqRYDBUzxECwtMKzdMKDY19XU3/YjREgp7aQp4i\nt9sCoNr6BhVCzrUd0OE5kixDyQ+HpmD08LTjRTAErbElLiwqLkCqoaX9dl3TgfM7HghCr6mHua/r\niCVJUEqLI0FPpTAMK4kJgCqDWlrEs3oeQGR7Doz2HBjHjOh0jAiGENrbEA2KCodI1UKLhEm1hUgJ\n/wES7BfSsgt4iyHZrAlhUZHwqFw75Hw7lLawqYTgKSnHckA/JuxPhBAQvkAkxKkVeiTMScTeThXa\n5ImMi7lvwIReDmCGFg+8f3kNFU8shvX0KXD8ZBasp0zu82BPIiIiIiIiIiIiIiKidPybt6Nl4WK4\nlq4BAsGs5sr2HNh/fA5y554Pw9CSHqqQiHqK9aRJGPLeC2j+yytofvSltMd9tL7zMXafMAd5v/wx\n8v/nUkgmYy9VStQ/BXdUouWZpXC+shLC7c1usiTBevoU5P78QliO+yGPGyIiIiIiIiIiIiLqQ9Om\nhYOg2lRWAlu2AIcc0nc1EVH/xGAoom7kmDMLlhMmQve0Rj6gH/6Qfttt4fVF+lrDH/yP3m6//4AJ\nuKB9IpmMkTCngkjIU3570FNbAFQk8El2HNhhTz1JMqhQBxdCHVyY0Xjd64PW0BwfJJUsVCoSKJXt\nwYsHOrkwF4ZhZTGBT6XtQVBDBvPALYojGVQYhgyGYcjgTscIIaA3OeOCokKRi1Zdj1BNuF9vzPLM\nsvsZ4fYi5PYCu2uym2hQ24Ok8uyQ8+yQ8x3tQVKRtpwbCZXKt0PJDY+T1IH9b4TQ9fbnenGhTeFg\nJxEJc2oLeWoPeGpNCH9qhYiEPUHT+nq3aH+l6/Cu+gDeVR9AHVYKx5yZsF96NtTi/L6ujIiIiIiI\niIiIiIiIKEoIgdZ3/o3mhYvQ+u4nWc9Xh5Ui96oL4LjsbMj2nB6okIh6i2w2oeCWn8J+3mmou+2P\naF3/75TjhS+ApgefhXvJahQ9dBOsJ0zspUqJ+gchBHwbNqH5ycXwrvoQECKr+ZLVAselZ8Ex93wY\nDxraQ1USERERERERERERUTbGjgXKy8OBUG3WrWMwFBF1NLA/0U3UzQwjy2EYWb5Pa4hgCLo3Nlgq\nJjiqQ5+3/bbXlzSMqu3+bN8Ipu4nmY1QBhVGQ56U4nyobaFPbQFQg8L3yfYchj31Q7LVDNlaktEZ\nJ4UQ0F2e9rCoSHiUHhMoFYq5rTe07Pe/p5LNCsPw0vbgp2Fl7e2hJZBt1r4ukQ4wkiRBKciFUpAL\n0/iDOx2nt/qh1dSHQ6Nq6hGqqg0HR0XaWuQaoQEWzBMMhf9G1TUh2xg72Z4TDpLKi4RGtYVHtfW1\nhUvlOyDHBE1JOZY+eXwTgWDHEKdIIFNbMFPSgKek97VCeFt7fR+IMhHaVY3Ge59E4/89C9uME+H4\nySyYp0zg80oiIiIiIiIiIiIiIuozeqsf7r+vRvOTixHcsjPr+aZJhyFv3kXIOev4AX8CG6IDjWHU\nEJQuehieN95F/W/+DK2mPuX44PbdqD7/RtjOm4bC318HtaSolyol6hu6zw/3snVoeXIJAl9/l/V8\ndWgJcq86H/ZLz4aSa++BComIiIiIiIiIiIioqyQJmDYNePHF9r41a4Drruu7moiof+KREkT9jGRQ\nw2/AduObsEIICF8AIhIk1SFkypsmeMrrS7g/HI4gfIFuq3F/JVlM7aFOcUFPCQFQgwog2az8UP4A\nIkkSFIcNisMGZHCWLaFp0Bqd0BsiYVEJgVLxt5uhO929sBfxJJMR6tCSSPBT23UZ1OHhICg538Gf\nceqXZIsJcprwRqHr4d+7mnqE6pqgNzuhN7ugNTuhN7mgNbvCfU1OaC2uSJ8TCIZ6cU/6D93lge7y\nALtrsptoUKHk2SHnOSLXdsj5jvYgqUg7GjTlyIHwB5OHOMXcDj9PiWknBDkhkG30FdF+LhiCe9k6\nuJetg2HMcDh+ci7ss8/ggZ5ERERERERERERERNRrQrWNcD6/DC0vvA69vjm7ybKMnBknIm/eRTBP\nOqxnCiSifkGSJNhmnQzrKZPR+H/PouXppYCup5zj/sdaeNdsRMGv58Jx5Y8gKUovVUvUO0J7G+B8\ncTmcL7wOra4p6/nmY45A7s8vRM6ZUxmqSERERERERERERNSPJQZDffop8Pe/AwZDe18oJMHpNEfb\nFotkVBTmxHQ3n6+vKyDqHH/hiQYASZIgWUyAxQSlKL/b1hWhEHSvLxIc5YVwJwZLpQqeigmpSgie\ngqZ1W41dIVktUAaFQ53UtnCnQQXxQU+RPinHwiCcJGpqarBhwwZUVlaitbUVZWVlGDduHI466qg+\nqefrr7/GF198gaqqKiiKgvLyckycOBEjR47slvU//fRTfPvtt6iqqoLFYkF5eTmmTJmCkpKSjNeQ\nFAVqcT5QnA8gfV3CH4DW0BwJkGqG1hATHJUkVCqjIDdZhlo+KBL4VBoNfFKHlcIwvCz8My/LGe8T\n0f5EkmWogwuhDi6EKcM5QojwY1izE1qTC3qLC1pTbHhUW7iUKzLGCb3FHe53eXp0f/qtYCj8N6qu\nCYxqIuodwa0VaLjjT2i8dyFs554KxxWzYDpyHJ/DEhERERERERERERFRt9OcbnhXb4Bnxfvwrt0I\n4c/upHOSzQrH5TOQe9UFMAwr7aEqiag/ku05KLr3BthnT0fdrY/A/+nXKcfrLg/qb/8TnK+9heKH\nb4H5yHG9VClRz/F/sRUtTy2Ba9m67E+CZlBh+9GpyLv6QpiOGNszBRIRERERERERERFRt5o6FTCb\n20OJdB244YbEUQp0PTemLdt7qTwi6icYDEVEXSapKhSHDXDYum1NIQSEPxANiWoLneoYLBUfOtVZ\n8JTw+qC7vYAstwc9DWoLemoPewr3F0Ipzsf/s3fn4VGV9///n2f2ZLKzr7Iju2BBBBRUlApRsIpa\nxLUKVfuxPy3d1brU2tbW9qMf1/pVXKpWUUSJoCCyiLK4lLAaCcgaIJCQSSbLbOf3xyRDEkIykx14\nPa4r1+S+z32/z3uQixmTM69jccc12vM53WzYsIFf/epXfPLJJwRrCPjq3bs3c+bM4ac//Wmz9DNv\n3jwefvhhMjMzazw+ZswYHnnkESZMmFCv+s8++yx/+9vfyM7OPu6Y1Wrloosu4rHHHmPo0KH1ql8b\nw+nA1rk9ts7t61xrmiamt6RKUFTRnhy2f/1fgu44fG2TOTv9ElL698aw662BSLQMw8Bwx2Fxx2Hr\n0iGmvWYgQKigiOBRD6H8Y+FRx0KlCsPHjoYDpsLHw3P4A030jOR0UPF31pIQH/4+IT785Y7DKH+s\nciwyjsdwVIoarwgVqniIjKs/Vl9f9fG4cKIY6xjVj0dTg+p7Y+25jvNU76M+NU7QS2FhEas/WUby\n+m2kLt+A60Ae0TJLyih840MK3/gQx9B+JN80lYQrJmJJiI+6hoiIiIiIiIiIiIiISHXBw/l4F32G\nN2MlxSu/rNfvM23dOpI86yqSrkvHkuhugi5F5GThHNKXLhlPU/jvhRx56FlCRwtrXe/LzGLfpNkk\n3TSVtN/Pwpqsz0LIycUMBvEuXk3Bc29R+sWGmPdb2iSTfNM0km6ahq1j2yboUERERERERERERESa\nissF48bB0qUnXmOaJj5f5RvyOP1gmE3e3GnMNNGfr7QqSn8QkVbFMAwMlxNcTqxtUlq6HYnBs88+\ny89//vNqby6rys7O5vbbb+f9999n3rx5xMc3TRBBMBjk1ltvZe7cubWu+/zzz7nooov4/e9/z0MP\nPRR1/eLiYq688koWL15caw8ff/wxy5cv54knnmD27NlR129shmGEwz4S4rH36Bzuz+PhcHtHZI21\neyeFQok0I8Nmw9omJebXuoqgt1BBIcH8cJhUMN8TCY0K5ReWH/OEj1UESuV7MIuKm+jZSJOxWrEk\nHB/idHxoU8U4HiMhDou70rGKcUI8RrwLw2Jp6WclDWAhRCDZzZGJZ3PkohGMdbcj+NbHFGWsjOlD\nFr7MLHLveYwjf3iahOmTSLppKs4BvZqwcxEREREREREREREROZUE9h/Cm7GSooyV4RCLUKhedZxn\nDyTl9mtxTzkPw6ZrFkQkzLBYSLr+ctyXnseRB5+h8M1FtW8wTTwvvYd34QraPHgnCVddcvxNikRa\nmaCniMLXMyh44R0Cu3Ji3u8Y2IvkWVeTcOVELC5nE3QoIiIiIiIiIiIiIs3hootqD4YKBoPk5+dX\nmmnnAUvsd+sRkZOWrqYQEZEGmzdvHnfccQemGQ7ANAyD9PR0xo8fj9vtZsuWLbz66qscPXoUgEWL\nFjFz5kzmzZuHpQkCKu6+++4qoVDx8fHMmDGD4cOH4/P5WLt2Le+88w5+v59QKMTDDz9Mamoqd999\nd521Q6EQM2bMqBIKlZqayvXXX8/AgQMpLCxkxYoVZGRkRFJYb7/9dtq1a8ePfvSjRn+uInJ6qRz0\nZuvSIaa9pj8QDo2qFBYVOloRKlVIKN9DsKD8sXxNRfAUgWATPaNTi+FyRP77WNzhQKbjQpxqDHSq\n+ZjhdOhiVTkxw8BxzhCSLh5Lm0N5FL7xIZ5X3iewO/oLRkOFXjwvvovnxXdxjRpC0s3TcKeP10Wj\nIiIiIiIiIiIiIiJyHP/OfRQtXI43YyVlX22pfyGLBfeU80m5/RpcIwc3XoMicsqxtk2l/ZO/I3HG\nFHJ/9Xf823bWuj6Ym8+hO/6I598ZtPvrPTj69WieRkVi4N+xl4IX3sHzegamtyS2zYZB/CVjSJ49\nnbhxI3RNiYiIiIiIiIiIiMgpYOJEePnlEx/3esvIzd1Waca9E5K9Td6YAPhbugERUDCUiIg00MGD\nB7n55psjoVBJSUnMnz+fCy+8sMq6Bx98kKlTp7Jq1SoA5s+fz7PPPssdd9zRqP1kZGTw5JNPRsYD\nBgxg8eLFdO/evcq6DRs2MHnyZPbv3w/AnDlzmDhxIkOGDKm1/jPPPMOCBQsi43HjxvH++++Tmpoa\nmZszZw7Lli3jiiuuwOPxYJomN954I+PGjaN9+/aN8TRFRGJm2G1Y26ZibZta9+JKTNPE9JZEwqNC\nBcdCpcJzhQTLA6bCQVKFkTVmUXETPZtGYBjHBzNVjGsKbarrmDtOdzGWFmNrn0bqz2eS8rMfU/zp\nejwvL6D4489jujt36bqNlK7biOX3T5D440tJvmEq9l5dm7BrERERERERERERERFpzUzTxLdtJ96M\nFXgXrsC3ObtB9Qx3HEkz00m+7SrsZ3RupC5F5HQQd+4wui17kaPPvUX+Yy9hFpfWur509TfsmXAz\nKXdcS+o9N2KJdzVTpyI1M02T0tXfcPS5tyn+aDWUX2sZLSM+jqQZk0m69Uocvbs1UZciIiIiIiIi\nIiIi0hK6dIFly058fPPmXQwefFHlqVtM09zc1H2JSOuhTy6LiEiDPPzwwxQVFUXGzz777HGhUACp\nqaksWLCAgQMHcuDAgcjeG2+8Ebfb3Si9hEIhfvvb30bG8fHxfPDBB8eFQgEMGzaMt99+m/POO49Q\nKEQoFOJ3v/sdH3zwwQnre71eHn744ci4Y8eOx4VCVbjwwgt57rnn+PGPfwxAUVERDz/8cJXQKhGR\nk4FhGBjlgUh07RDTXtMfCIdElYdKBauFR4XnwqFS1YOnCASrFrPbImFMFf1UDWaKx5IQfjRqCnSq\nNjbiXbpzopxyDKsV98TRuCeOJrDvIJ5XP8Dz2kKCB49EXSOUV0DBU29S8NSbxE0YSdKNU3FPGoth\n148PREREREREREREREROdaZpUvbfbXgXhsOg/Dv2NrimrWsHkm+7isSZ6ViTEhqhSxE5HRl2G6k/\nm0HCtIs48vv/xfvhqto3+AMc/d/XKJr/CW0f/TnuS8Y2T6MilYRKyyh6dykFz79dr4BFW7eOJN92\nJYkzpmBNTmyCDkVERERERERERERERKS10yc7RURiEAgEWLt2Ldu3b+fgwYPYbDY6duzIueeeS8+e\nPRvlHF6vl5UrV7J3715yc3NJTk7m6quvpl27difcEwqFWL9+PVu3buXQoUPYbDY6dOjAiBEjGDBg\nQKP0VZPCwkJeeOGFyHjUqFGRIKSapKam8oc//IHbb78dgAMHDvDmm2/yk5/8pFH6+eSTT9i4cWNk\n/LOf/YzevXufcP2YMWOYPn06//nPfwBYuHAh27dvp0+fPjWuf/311zl48GBkfP/999cYClXh2muv\n5Z///Cdr164F4IUXXuDRRx8lIUEXOorI6cGw27C2TcXa9sT/VtbENE1MbwmhQi+G0xEOcnLYm6hL\nkVOTrUsH0n5zK6m/uAnvR6vxzH2PkhVfxlSjZPl6Spavx9qxLUkz00mamY6tS2wBcSIiIiIiIiIi\nIiIi0rqZwSClazfizViJN2MFgX2HGlzT2qkdCVPOx50+HtfooRhWayN0KiIC9q4d6Pjyn/B+vJrD\nv/kngT0Hal0f2J3Dget+g3vyebR55OfYY7whlkh9BA4ewTP3PQrmvkfo8NGY97tGDyN59nTcPxyL\nYdOl/iIiIiIiIiIiIiIiIqcz/bZIRE4JPXr0YNeuXfXev3PnTnr06HHC44cOHeLBBx/k9ddf5+jR\nmn9RP3z4cP785z9zySWX1Hm+CRMmsGLFCgBuvPFG5s6dy5EjR/jlL3/JW2+9hdfrrbJ+0KBBTJgw\n4bg6xcXFPPbYYzz11FPk5ubWeK7evXvzu9/9jptuugmLxVJnb7FYtGgRZWVlkfFtt91W557rrruO\ne+65h5KSEgDmz5/faMFQ8+fPrzKOpp/bbrstEgwF8N577zFnzpw668fFxTFz5syo6lcEQ5WWlrJ4\n8WKuuuqqOveJiJzODMPASIjHkhDf0q2InPQMu42E9PEkpI/Hl70Hz6vvU/jGIkJ5BVHXCB44TP7f\n5pL/+CvEXzKG5JumEXfBSIxGfm8pIiIiIiIiIiIiIiLNw/T5Kfns63AY1KJVBHPzG1zT1qMLCZeN\nx50+HudZZ+r3CCLSpNyXjCVu3NnkP/4yR59+E/yBWtd7P1xF8fL1pP7yZlJmX41h1+XT0vjKNnzL\n0efnUTR/aZ1/J49jt5FwxURSZl2Fc1j/pmlQRERERERERERERERETjr6zaaISB0++OADrrvuOgoL\nC2td98033zBp0iTuvvtuHn/88ZjOsWHDBiZPnsz+/fuj3rN9+3YmTZrEjh07al2XnZ3NT37yE157\n7TXee+89kpKSYuqtNhkZGVXGkyZNqnNPYmIio0eP5tNPPwVg6dKllJaW4nK5GrWfXr160adPnzr3\nnHfeebhcLkpLSwFYuHBhjcFQpaWlfPLJJ5HxueeeS2JiYp31L7744irjhQsXKhhKREREWoSjdzfa\nPnAnab+5Fe8Hy/HMXUDpuo3RFwiFKF78GcWLP8N2RieSrr+cxBlTsLVLbbqmRURERERERERERESk\nUYRKyihZvo6ihSso/mg1oYKiBtd0DOyFe0o4DMoxoBeGYTRCpyIi0bHEu2hz72wSr55E7q8ep3T1\nN7WuN4tLyXvwGYre+oi2f/0FcaOHNlOnciozg0G8i1dT8NxblH6xIeb9lrYpJN80jaQbp2Lr2LYJ\nOhQREREREREREREREZGTmYKhROSU0KNHD2y26P9Jy8nJobi4uM51r7/+OjfccAPBYDAyd84553DJ\nJZfQrVs3/H4/Gzdu5K233iIvLw+Af/zjH9hsNv76179G1Ut+fj5XXHEF+/fvx2azMXnyZMaNG0eb\nNm04fPgwy5cvx2q1VtmzZ88ezjvvPA4cOBCZ69y5M9dccw39+/fH5/PxzTffMG/evEig1aeffsrF\nF1/MqlWrcDgcUfVWlw0bjl3I0KVLF7p16xbVvjFjxkSCocrKysjKymLo0IZdaHP06FF2794dGZ97\n7rlR7XM4HJx99tmsXr0agMzMzBrXbdu2DZ/PF3P97t2706VLF/bt21drfREREZHmYnE5SZw+icTp\nkyjbko1n7gIK3/4Is6ju98cVArtyyPvjc+T95f+RkD6epBun4hpzlj7wISIiIiIiIiIiIiLSioQK\nvXiXfoH3gxUUf7IGs7i0wTWdIwaEw6CmnIejd/dG6FJEpGEc/XrQef7/UvT2Rxz+w1OEDh+tdb1v\n6w72X3YniT+eTJv7f4q1rW6EI7ELeooofD2Dgn+9Q2B3Tsz7HYN6kzxrOgk/mojF5WyCDkVERERE\nRERERERERORUoGAoETklLF++POq1q1ev5qKLLoqM+/fvT/v27Y9bt3XrVm677bZIKFTHjh157bXX\nquyt8Mgjj3DjjTeycOFCAP72t78xZcoUxo8fX2c/77//fqSPd999l4EDB1Y5/qtf/arK2DRNbrnl\nliqhULfccgtPPvkk8fHxVdb+8Y9/5Oqrr46EHq1bt47777+fP//5z3X2VZdQKMS3334bGffp0yfq\nvb17964y3rJlS4ODobZu3VplHGs/FX9G+fn5HDhwgI4dOzZq/YpgqG+//ZZQKITFYol6v4iIiEhT\ncQ7sTbu/3kOb+39K0fylFLz0Hr6N30VfwB+gaP4nFM3/BHu/M0i6cRqJ10zCmpzYdE2LiIiIiIiI\niIiIiMgJBfMK8C7+DG/GSoqXrwefv2EFDQPX6KG40yeQMOU8bF06NE6jIiKNyDAMEq/+IfGXjCXv\nkefwvPw+mGatewrf+BDv4s/CN8EZfiaOof2xdWmvm+FIrfw79lLwr3l43vgQ01sS22bDIH7SWFJm\nT8c1drj+romIiIiIiIiIiIiIiEidFAwlIqeV7Oxspk2bRllZGQBt27YlIyPjuEAlgDvvvJPi4mIA\nUlJSWLlyJX379q2xblpaGu+++y5jx45l/fr1mKbJvffey6pVq6LqKzU1lWXLltG5c+c61y5atIil\nS5dGxldccQUvvPBCjRcJdO7cmYyMDEaOHMl334U/4P/3v/+du+66K6pz1SYnJ4fS0mN3kuzePfq7\nQFZfu2PHjgb1UlONhvZTPRiqseoXFxdz4MCBBv/5i4iIiDQmS0I8SddfTuLMyyj7ZiueuQsomr8U\ns9QXdQ1/1i6O/P5/yfvjsyRMu4ikm6fhPOtMXcwqIiIiIiIiIiIiItLEAgcO4/1wFd6MFZSs/i+U\n3wSt3mxW4s47m4TLxhM/aRy29mmN06iISBOzpiTS7rE5JP54Mrm//Du+zKxa14fyPRz956uRsSU1\nCefQfuGvIf1wDO2LvWdXDN0E8LRmmiYln31NwXNvU/zx53WGjlVnuONImjGF5FuvxN6raxN1KSIi\nIiIiIiIiIiIiIqciBUOJVBIIwN69Ld3Fya9rV7C1wn9d8vPzmTJlCocPHwbA6XQyf/58evfufdza\nr7/+mk8//TQyfvTRR08YClXBbrfz5JNPMnr0aAA+++wzNm3axODBg+vs7b777os6KOjpp5+OfB8X\nF8eTTz5Z64ftk5OT+cc//kF6ejoAgUCA559/ngceeCCq852Ix+OpMk5Li/4iwNTU1CrjwsLCBvXS\nHP20tucrIiIi0hQMw8A1YiCuEQNp89DPKPzPYjwvL8D/3a6oa5glZRS+8SGFb3yIY2g/km+aSsIV\nE7EkHB/GKiIiIiIiIiIiIiIi9ePftR9vxkq8C1dQ+uXmmEMqqjNcDuIvPAd3+njiLxmDNTmxkToV\nEWl+rhED6frx83henE/eoy8QKvRGtS+U76FkxZeUrPgyMme443AOCYdFOYb0DT/2OwOjNV4kKY0q\nVFpG0TtLKXj+LXxbYr/5pa17J5Jvu5LEGVOwJiU0QYciIiIiIiIiIiIiIiJyqtNvJUUq2bsXevZs\n6S5Ofjt3Qo8eLd1FVX6/nyuvvJJvv/02MvfCCy8wbty4Gte//vrrke9TUlL4yU9+EtV5zjnnHM48\n80y2bdsGwJIlS+oMhrJYLNxwww1R1S8rK2PJkiWR8dSpU+nSpUud+yZPnkzPnj3ZuXMnAAsXLmxw\nMFRRUVGVscvlinpvXFxcrbVaYz+t7fmKiIiINDVrSiIps6eTPOsqSj//L57PYr0XAAAgAElEQVS5\n71GUsRL8gahr+DKzyL3nMY784WkSpk8i6aapOAf0asKuRUREREREREREREROXb6s7/F+sIKijBX4\nNn7X4HpGQjzuS8bgnnI+8ReNxuKOq3uTiMhJwrBaSb7tKtyXTeDI/f9H0fxP6lXH9JZQumYDpWs2\nHKvtcuAY2PtYYNTQfjjO7InF5Wys9qUFBQ4cxjP3PQpeXkDo8NGY97vOHUby7Ktx/3AshtXaBB2K\niIiIiIiIiIiIiIjI6ULBUCJyWpg1axaffvppZHzfffcxc+bME65ftWpV5PuLL74Yu90e9bnOOeec\nSDDU2rVr61zfv39/2rRpE1Xtr7/+Gp/PFxlfeumlUe0zDIPJkyfz1FNPAZCZmUlJSclxgUWxKC0t\nrTJ2OBxR73U6q14AU1JSUu8+mquf1vZ8RURERJqLYRjEjR1O3NjhtDmUR+EbH+J55X0Cu3OirhEq\n9OJ58V08L76La9QQkm6ehjt9vC6MFhERERERERERERGphWma+DKzKFq4Am/GSvzf7WpwTUtaMu4f\njguHQY3/AYYz+usfRERORraObenw/AMkzpjC4V8/jn/H3gbXNEt9lH29lbKvt1Y6kRVH/x7HwqKG\n9MM5uA+WhPgGn0+aR9mGbzn6/NvhELEYbpgEgN1GwhUTSZl1Fc5h/ZumQRERERERERERERERETnt\nKBhKRE55f/rTn5g7d25kfO211/Lggw/WumfDhmN39xo0aFBM5+vQoUPk+717676IpE+fPlHXzsrK\nqjIeNmxY1HuHDh0a+d7v97Nz504GDhwY9f7qXC5XlXHlwKq6lJWVVRk3JKCqufppbc9XREREpCXY\n2qeR+vOZpPzPDIqXrcPz8gKKP/4cQqGoa5Su20jpuo1Yfv8EiT++lOQbpmLv1bUJuxYRERERERER\nEREROXmYoRCl6zfhzViJN2NlTDdqOBFrhza4p4zHnX4+cecOw7DpskEROf3ETxhJ1xVzOfrUGxz9\nx6uYZdFf/xWVQBDf5mx8m7MpfHNReM4wsPfuVh4U1Rfn0H44h/TDmprUuOeWejODQbyLPqPgubcp\nXbOh7g3VWNqmkHzTNJJumoatQ3Q3CBURERERERERERERkaZhGMYg4GygE2AFjgCbgLWmacZ4V4hG\n780GnAMMBtoAQSAH+Mo0zc1NdM4zCP95nAG4gTIgF/gO2GCaZlFTnFcal67wEJFT2ttvv829994b\nGZ977rm89NJLGIZxwj1er7dKkM8DDzzAAw88UK/z5+fn17kmKSn6izyq12vfvn3UeysHVtVUK1YJ\nCQlVxqWlpVHvLSkpqbVWa+yntT1fERERkZZkWCy4J47GPXE0gX0H8bz6AZ7XFhI8eCTqGqG8Agqe\nepOCp94kbsJIkm6cinvSWAy7flQhIiIiIiIiIiIiIqcX0x+g5PP/4s1YgTdjJcFDeQ2uaTujE+4p\n40lIH4/z7IEYFksjdCoicnKzuJyk/eImkq5Lp+jdpZR+tYWyzCwC3+9rmhOaJv7tu/Fv3w3vLo1M\n27p3wjmkL84h/XAM7YdzaD+FCjWzoKeIwn8vpOCFd+sVwugY1JvkWdNJ+NFELC5nE3QoIiIiIiIi\nIiIiIiLRMMLBETcDvwb6nWDZEcMwngH+bJqmt9maAwzDSAB+A9wOpJ1gzbfAX4C5pmmaDTyfA5gF\nzCYcQnUiQcMwvgEygIdM0ww15LzSdPRpSxE5Za1Zs4YbbriBite+nj17smDBAlwuV637jh492mg9\nFBcX17nGFsNdGIuKqoYuxsfHR73X7XbXWitW1QOtYgmaqv5nnJiY2KBemqOf1vZ8RURERFoLW5cO\npP3mVlJ/cRPej1bjeXkBJcvXx1SjZPl6Spavx9qxLUkz00mamY6tS4e6N4qIiIiIiIiIiIiInKRC\npWWUrPgS78IVeD9aTSjf0+Ca9v49SJgyHnf6eByD+9R64zQRkdOZrWNbUu64NjIOFhTi27Sdso1Z\nlGWGv/zf7YZQ01z/HtidQ2B3Dt6MlZE5a/s0nEP74RzaPxwWNaQvtm4d9W95I/Nl78Hzwjt43vgQ\n01tS94bKDIP4H44lZfbVuMacpf82IiIiIiIiIiIiIiItzDCMFOAt4OI6lrYB7gVmGIZxuWmam5u8\nOcAwjCHAAqBnHUv7Ay8C1xiGcY1pmgX1PN9o4DWgdxTLrcAPyr/+DJTW55zS9BQMJSKnpO+//56p\nU6dSWhp+/UlOTiYjI4N27drVubd62FLbtm1JTk6uVx9du3at174TSUhIqDIuLi6Oujevt2p4ZfVa\nserUqRMulyvyZ7x79+6o9+7atavKuFevXg3qBcLBX5U1dj+NVT8uLo6OHTtGvVdERETkZGHYbSSk\nh+887sveg+fV9yl8YxGhvOh/DhU8cJj8v80l//FXiJ80huQbpxF3wUjdxVxERERERERERERETgmh\nomKKl67Bm7EC75IvYg+kqIFzWH/cU84Ph0H1PaMRuhQROf1YkxOJGzucuLHDI3Oh4lJ8W7LLg6K+\npSwzC9+2neAPNEkPwUN5FC9dQ/HSNZE5S0pieVhUPxxDwo/2Xl31+9MYmaZJyaqvKHh+HsUffw4x\n3mjbcMeRdF06ybdeib1nlybqUkREREREREREREREYmEYRhzwETCq2iEf8D1QBvQC3JWO9QI+NQxj\njGma25u4v/7AMqBttUNFwA4gDugB2CsdmwQsMgzjQtM0YwpqMgzjasKhUPZqh/zAPiAXcAAdAIUd\nnEQUDCVSSdeusHNnS3dx8mvkLKSYFRQUkJ6ezqFDhwCw2WzMmzePAQMGRLU/JSUFq9VKMBgEYM6c\nOfz6179usn5jkZqaWmV86NAhOnXqFNXeij+PE9WKlcVioX///mzYsAGA7dujf++TnZ1dZTxw4MAG\n9VJTjfr2k5qaWmNwU2PVP/PMM7HowhwRERE5xTl6d6PtA3eS9ptb8X6wHM/cBZSu2xh9gVCI4kWf\nUbzoM2xndCLp+stJnDEFW7uGvYcVEREREREREREREWluwaOFFH+0mqKFKyj5dB1mma9hBQ0D18jB\nuC8bj3vy+di7R3fdiIiIxMYS78L1g0G4fjAoMmf6/Pi27SwPi8qibNN3+DZ9h1lS1iQ9hI4WUrLy\nK0pWfhWZM9xxOAf3xTmkL46K0Kh+PTDsuiS8ulBJGUXvLKHg+bfxbd0R837bGZ1IvvUqEmdMxprU\nsBtxioiIiIiIiIiIiIhIo3ucqqFQIeAR4B+maeYDGIbhAGaUr634YFo74C3DMEaaphlsisYMw7AB\nb1M1FCoPuBt4wzRNf/m6NOAe4LdARQDBucBfgbtiON8k4N9UzRBaAzwGfGyaZlG19W2ACcDlwFXR\nnkdahn4LKFKJzQY9erR0F9IQgUCA6dOns3nz5sjcU089xcSJE6OuYRgG/fv3Z8uWLQDs3bu30fus\nr379+lUZb9iwgWHDhkW1NzMzM/K93W6nZ8+eDe5n2LBhkWCovXv3snfvXrpGkQz2+eefR753Op3H\nPa/6SElJoXv37uzevRuAL774Iqp9Pp+Pr746duHMkCFDalx35pln4nA48Pl8MdXfvXs3+/btq7O+\niIiIyKnI4nKSOH0SidMnUbYlG8/L71P41mLMouKoawR25ZD3x+fI+8v/IyF9PEk3TsU15iwMw2jC\nzkVERERERERERERE6i9w8AjexZ/hXbiCks++hkADryW1WokbNxx3+njcPxyHrWP1G4qKiEhzMBx2\nnOVhTBXMYBD/9t3hoKiN31GWmYUvM4tQobdJejC9JZSuzaR07bHrAQ2nA8eAXuGQqIqwqAG9sLic\nTdJDaxc4cBjPS+9R8PJ7hI4UxLzfNeYsUmZPJ37SWAyrtQk6FBERERERERERERGRhjAM40zgtmrT\nM03TfKPyhGmaPmCuYRjrgc+AlPJDw4EbgJeaqMVbgMqhAvnAeaZpbqnWXx5wr2EYWwgHO1W43TCM\nJ03T/K6uE5WHS71C1fygOcDjpmmaNe0xTfMI8A7wjmEYdwFNcxcUaRQKhhKRU8qdd97JkiVLIuN7\n7rmHWbNmxVznggsuiARDffrpp43WX0ONGDGiSjjRokWLuOGGG6Lam5GREfl+6NChxMXFNbifyZMn\n88orr0TGH3/8MbfcckutewoLC1mzZk1kfNFFF+FyuRrcS0U/zz77LADZ2dns2LGDXr161bpn1apV\nlJaWRsbp6ek1rnO5XFx44YUsXrwYCAdDFRYWkpiYWGv9yn8fa6svIiIicqpzDuxNu7/cTZv7ZlM0\nfykFL72Hb2OdP5s6xh+gaP4nFM3/BHu/M0i6cRqJ10zCmlz7+zERERERERERERERkebg33MAb8ZK\nvAtXULpuI9R8fWXUDKeDuAkjw2FQk8ZiTU1qpE5FRKQxGVYrjv49cfTvSeL0SQCYoRCBXTmUbcwK\nB0ZlZlG2MYvQ4aNN0oNZ5qPsv9so+++2Y5NWK47+Z+Ac0g/HkHBYlHNIXywJ8U3SQ2tQtuFbjj73\nFkXvLQN/ILbNDjuJV1xE8qzpVYK/RERERERERERERESkVXoQqHx3h1erh0JVZprmZsMw5gAvVJr+\ng2EYr5mm6W/MxgzDcAD3VpueUz0Uqlp/rxuGcSkws3zKBjwAXBfFKf8OtK80/pVpmn+Ptl/TNGO/\ny4Y0KwVDicgp429/+xvPP/98ZDx16lQee+yxetW69tpreeqppwDYvHkzS5cuZeLEiY3SZ0M4nU4u\nvvjiSMjTggULyMnJoVOnTrXuW7RoETt37oyMGyucaPLkyTidTsrKwiGQ//rXv+oMhvr3v/9NSUlJ\nZHzFFVc0Si8VtSqCoSr6efTRR2vd869//avKeNq0abXWrwiGKi4u5vXXX2f27NlR13c6nVx66aW1\nrhcRERE51VkS4km6/nISZ15G2Tdb8cxdQNF7n2CWRB8s7s/axZHf/y95f3yWhCsmknTTVJxnnYlh\nGE3YuYiIiIiIiIiIiIhIVb7tu/EuXIE3Y2XVMI56MuLjiL/4XBKmnE/8xeee0uEdIiKnMsNiwd6z\nC/aeXUi4/AIATNMkeODwsaCozCx8G7MI7DvUNE0Eg/i27MC3ZQf8Z3F5Ywb2Xl1xDumLY2g/nEP7\n4xzSF2tactP00AzMQADvos8oeO5tStdmxrzf2i6VpJumkXTjVGwd2jRBhyIiIiIiIiIiIiIi0pgM\nw0gFflRpyiQcolSXl4D7gDPKx2cAE4FFjdkfMAnoVmn8ffm56/IA4SCoig/ITTcM447agpsMwxgG\n3FRpai3hoCg5hSgYSkROCfPnz+fXv/51ZDxixAj+/e9/Y7FY6lVv3LhxnHfeeaxatQqAW2+9lS++\n+KLOAKbK/H4/FosFq9Va9+IY3HHHHZFgqJKSEu666y7eeuutE34I3uPxcPfdd0fGNpuNWbNmNUov\niYmJ3HLLLTzzzDMArFmzhrfeeourr766xvX5+fk89NBDkXH79u358Y9/XOs5evTowa5duyJjs5Y7\nak6cOJHBgwezadMmAJ588klmzZpFz549a1z/+eef8/bbb0fGU6ZMoW/fviesP2PGDO677z4OHQpf\njPPggw9yzTXXkJKSUuP6N998k7Vr10bGt956KwkJCSesLyIiInI6MQwD14iBuEYMpM1DP6PwP4vx\nvLwA/3e76t5cziwpo/D1DApfz8AxtB/JN00l4UcXY3HHNWHnIiIiIiIiIiIiInK6Mk0T3+ZsvAuX\nU5SxEv+2nXVvqoMlJRH3pLG408cTN34kljhnI3QqIiKtjWEY2Dq1w9apHe5JYyPzwcP5lG38LvyV\nmYUvMwv/zr1N04Rp4s/egz97D7y3LDJt69oB59B+4bCoIf1wDu2HrWPbpumhkQQLCin8dwYFL7xD\nYM+BmPc7BvUhefZ0Eq64CItLr70iIiIiIiIiIiIiIieRKVTNyllumuaOujaZphkyDOMlqoZITaPx\ng6GmVhu/ZNYWkFDONM1swzBWABPKp+zAZOCNWrZVD4142DTNULSNyslBwVAictLbuHEjM2fOJBQK\nv0Z16dKFDz74ALfb3aC6zzzzDKNHj6aoqIhdu3YxcuRInnvuOaZMmVLrvu3bt/Of//yHZ555hi+/\n/JKOHTs2qI/qLr30UiZOnMjSpUsBmDdvHj/96U/55z//SVxc1Q/A5+TkcM011/Dtt99G5ubMmUPn\nzp0brZ/777+fV155Ba/XC8CsWbNo164dF1xwQZV1+fn5TJ06lZycnMjcfffd1+D/TpVZLBb+9Kc/\ncfnllwPg9Xq57LLLWLRoEd26dauyNjMzk6uvvjry98ZisfDII4/UWj8hIYF7772Xu+66Cwj/+U6d\nOpUFCxYcFw61bNkyZs+eHRm73W7uvffeBj9HERERkVORNSWRlNnTSZ51FaWf/xfPywsoWrgC/IGo\na/gys8i95zGO/OFpEqZPIummqTgH9GrCrkVEREREREREROR0YpomwQOH8e/Yi3/HnvLHvfiy9xDM\nzccS78KSloy1TQrWNslY01KwpiVjaRt+tKYlY22bgiUtBWtqIoZNl22dLMxQiLKvt1K0cDnejJUE\nvt/f4JrWdmm4p5yHe8p44sYOx7Dr74OIyOnK2jaV+AtGEX/BqMhc0FOEb9N2yjKzKNuYRVlmFv6s\nXRBqmuv4A3sPEth7EO+Hq4711S6tUlhU33BYVPdOJ7yBZXPxZe+h4F/zKHxjEWZxSWybDYP4H44l\nZfbVuMac1eLPRURERERERERERERE6qV62MPHMexdQtVgqPQGd3O8hvY3odI4nRMEQxmGEQfMqDR1\nGPgohnPJSUJXlIjISe+rr76iuLg4Mi4uLub888+PqcaKFSvo0qVLlblBgwbx6quvcs011+Dz+di3\nbx/p6en069ePiRMn0r9/f5KSkigtLeXIkSNs3bqVL7/8skoIU1MwDIMXX3yRUaNGceBA+E5Xzz//\nPBkZGVxzzTX0798fv9/P119/zbx58/B4PJG9o0aN4sEHH2zUfjp27MiLL77Itddei2maFBQUMHHi\nRC677DLGjx9PfHw8W7Zs4dVXXyU/Pz+y7/LLL+eOO+5o1F4ALrvsMu644w6efvppADZv3syAAQO4\n7rrrOOuss/D7/axZs4Z58+bh9/sj+/7yl78wbNiwOuvfeeedLFmyhA8++ACAlStX0rt3b2644QYG\nDBhAUVERy5cvZ+HChVSEdxqGwUsvvdToIWEiIiIipxrDMIgbO5y4scNpcyiPwjc+xPPK+wR259S9\nuVyo0IvnxXfxvPgurnOGknTTVNzp43WXVxEREREREREREamTaZoEc/OPC3/y79iDf+c+zOLSE+4N\n5RXA3oNRn8uSkhgOkUpLxlL+WBEqFQ6YKh+npWBpk4wl0a3wgmZkBgKUrsmkaOEKvB+uIpiT2+Ca\ntq4dcKePxz1lPK6RgzCs1kboVERETkXWpATixpxF3JizInOh4lJ8W7PDYVGZWfg2fkfZ1h3g89dS\nqf6CuXkUf7KG4k/WROYsyQnhsKgh/XAODX/Ze3Vt8tc00zQpWfUVBc+9TfGSL6Dum2pXYSTEk3Td\nFJJ/ciX2nl3q3iAiIiIiIiIiIiIiIq3ZWdXGn8ew9yugDKj4oFlnwzDamabZ8IsCAMMwOgCVAwXK\ngK9jKLG62rj6c61sDJBSabzKNM1ADOeSk4SCoUTklJOfn18lgCgalQOCKps2bRrLli3jqquuioQw\nZWVlkZWVFVVdi8USUx/R6tatG6tWreKSSy5h586dAOzbt4/HH3/8hHsmTJjAggULcDgcjd7P1Vdf\nTW5uLnfffTd+v59QKMSCBQtYsGBBjesvueQSXn/99Sb783niiScoLCzk1VdfBcDr9fL888/XuNYw\nDH7zm98wZ86cqGpbLBbeeOMNrrjiCpYsWQJAXl4e//znP2tc73A4+Mc//sH06dPr8UxERERETl+2\n9mmk/nwmKf8zg+Jl6/C8vIDijz+P6S64pWszKV2bieX3T5A0YzJJ11+OvVfXJuxaRERERERERERE\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db7j6+PUz4RVifijgR2r29dBXw8M+9xIk6SNF9FxOGURTIv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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
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     "data": {
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       "data": [
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         "mode": "lines",
         "name": "000810_002273",
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         "type": "scatter",
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UAgnGTansj9X1xcjNTU1E6vmzShLxgAkJKSggkTJhzD0RARERERERERERER9T2SBFx4oTZt2wY8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\nFEOHDuX1118HYObMmUyaNInIyMgy9502bZr7ed++fencuXOx4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ioaJFXdjgTwipXsyiyF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Mn1UwZxvgVmAg0LiUsI+AO2KMwyuSo0iuk4DBwH6lhKwBngRujzEu+x556tyZVLXK+0KTqtvy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\nV507k6peZro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fsGDBx3Fxca7x8fFuBoPB4g16arXa4OrqGufm5hYfH5+zm7GNRuMPKpVq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\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VqAPg88i5GTQnXbHTguIp4B9yVyGlGfSaGW1POf2HXozMxc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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
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         "mode": "lines",
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     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "000501_600723 {'beta': 0.5066669419619598, 'const': 0.8946137019080647, 'risk': 0.025821984454635273} 0.0952380952381\n"
     ]
    },
    {
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70XBoOhXOqQyWTo2bOn1P7111/LZd2KUlBQgHXr1knt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\ne6DRaKzB6tFoNLb69eujTZs20rW1a9dqnM6gd4/EarWqPdsqlcomCAHL8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