https://cerebrock.github.io/Entropy2songenContents © 2019 <a href="mailto:mtsgrinberg@gmail.com">Matías Grinberg</a> Sun, 17 Nov 2019 23:29:35 GMTNikola (getnikola.com)http://blogs.law.harvard.edu/tech/rsshttps://cerebrock.github.io/posts/Vocational%20Data%20Science/MG<div><div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt"> </div><div class="inner_cell"> <div class="text_cell_render border-box-sizing rendered_html"> <h4 id="Holla(nd)-mundo!">Holla(nd) mundo!<a class="anchor-link" href="https://cerebrock.github.io/posts/Vocational%20Data%20Science/#Holla(nd)-mundo!">¶</a></h4><p>The Holland Occupational Themes is a theory of personality focused on the vocational profile. It attempts to measure the affinity to six different categories of occupations. The six types yield the "RIASEC" acronym, by which the theory is popularly known in the field of career counseling.</p> <p>We go through the following steps:</p> <ul> <li>Loading of example data</li> <li>Minimal exploration with pandas</li> <li>Result dashboard with plotly</li> </ul> <p>You can take the test online in: <a href="https://openpsychometrics.org/tests/RIASEC/">https://openpsychometrics.org/tests/RIASEC/</a></p> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [13]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-ipython3"><pre><span></span><span class="n">HTML</span><span class="p">(</span><span class="n">holla</span><span class="p">)</span> </pre></div> </div> </div> </div> <div class="output_wrapper"> <div class="output"> <div class="output_area"> <div class="prompt output_prompt">Out[13]:</div> <div class="output_html rendered_html output_subarea 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if("le"===r)for(i=0,a=0;i<t.length;i+=3)o=t[i]|t[i+1]<<8|t[i+2]<<16,this.words[a]|=o<<s&67108863,this.words[a+1]=o>>>26-s&67108863,(s+=24)>=26&&(s-=26,a++);return this.strip()},a.prototype._parseHex=function(t,e){this.length=Math.ceil((t.length-e)/6),this.words=new Array(this.length);for(var r=0;r<this.length;r++)this.words[r]=0;var n,i,a=0;for(r=t.length-6,n=0;r>=e;r-=6)i=s(t,r,r+6),this.words[n]|=i<<a&67108863,this.words[n+1]|=i>>>26-a&4194303,(a+=24)>=26&&(a-=26,n++);r+6!==e&&(i=s(t,e,r+6),this.words[n]|=i<<a&67108863,this.words[n+1]|=i>>>26-a&4194303),this.strip()},a.prototype._parseBase=function(t,e,r){this.words=[0],this.length=1;for(var n=0,i=1;i<=67108863;i*=e)n++;n--,i=i/e|0;for(var a=t.length-r,o=a%n,s=Math.min(a,a-o)+r,c=0,u=r;u<s;u+=n)c=l(t,u,u+n,e),this.imuln(i),this.words[0]+c<67108864?this.words[0]+=c:this._iaddn(c);if(0!==o){var h=1;for(c=l(t,u,t.length,e),u=0;u<o;u++)h*=e;this.imuln(h),this.words[0]+c<67108864?this.words[0]+=c:this._iaddn(c)}},a.prototype.copy=function(t){t.words=new Array(this.length);for(var e=0;e<this.length;e++)t.words[e]=this.words[e];t.length=this.length,t.negative=this.negative,t.red=this.red},a.prototype.clone=function(){var t=new a(null);return this.copy(t),t},a.prototype._expand=function(t){for(;this.length<t;)this.words[this.length++]=0;return this},a.prototype.strip=function(){for(;this.length>1&&0===this.words[this.length-1];)this.length--;return this._normSign()},a.prototype._normSign=function(){return 1===this.length&&0===this.words[0]&&(this.negative=0),this},a.prototype.inspect=function(){return(this.red?"<BN-R: ":"<BN: ")+this.toString(16)+">"};var 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u=l>>>26,h=67108863&l,f=Math.min(c,e.length-1),p=Math.max(0,c-t.length+1);p<=f;p++){var d=c-p|0;u+=(o=(i=0|t.words[d])*(a=0|e.words[p])+h)/67108864|0,h=67108863&o}r.words[c]=0|h,l=0|u}return 0!==l?r.words[c]=0|l:r.length--,r.strip()}a.prototype.toString=function(t,e){var r;if(e=0|e||1,16===(t=t||10)||"hex"===t){r="";for(var i=0,a=0,o=0;o<this.length;o++){var s=this.words[o],l=(16777215&(s<<i|a)).toString(16);r=0!==(a=s>>>24-i&16777215)||o!==this.length-1?c[6-l.length]+l+r:l+r,(i+=2)>=26&&(i-=26,o--)}for(0!==a&&(r=a.toString(16)+r);r.length%e!=0;)r="0"+r;return 0!==this.negative&&(r="-"+r),r}if(t===(0|t)&&t>=2&&t<=36){var f=u[t],p=h[t];r="";var d=this.clone();for(d.negative=0;!d.isZero();){var g=d.modn(p).toString(t);r=(d=d.idivn(p)).isZero()?g+r:c[f-g.length]+g+r}for(this.isZero()&&(r="0"+r);r.length%e!=0;)r="0"+r;return 0!==this.negative&&(r="-"+r),r}n(!1,"Base should be between 2 and 36")},a.prototype.toNumber=function(){var t=this.words[0];return 2===this.length?t+=67108864*this.words[1]:3===this.length&&1===this.words[2]?t+=4503599627370496+67108864*this.words[1]:this.length>2&&n(!1,"Number can only safely store up to 53 bits"),0!==this.negative?-t:t},a.prototype.toJSON=function(){return this.toString(16)},a.prototype.toBuffer=function(t,e){return n("undefined"!=typeof o),this.toArrayLike(o,t,e)},a.prototype.toArray=function(t,e){return this.toArrayLike(Array,t,e)},a.prototype.toArrayLike=function(t,e,r){var i=this.byteLength(),a=r||Math.max(1,i);n(i<=a,"byte array longer than desired length"),n(a>0,"Requested array length <= 0"),this.strip();var o,s,l="le"===e,c=new t(a),u=this.clone();if(l){for(s=0;!u.isZero();s++)o=u.andln(255),u.iushrn(8),c[s]=o;for(;s<a;s++)c[s]=0}else{for(s=0;s<a-i;s++)c[s]=0;for(s=0;!u.isZero();s++)o=u.andln(255),u.iushrn(8),c[a-s-1]=o}return c},Math.clz32?a.prototype._countBits=function(t){return 32-Math.clz32(t)}:a.prototype._countBits=function(t){var e=t,r=0;return 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e,r;this.length>t.length?(e=this,r=t):(e=t,r=this);for(var n=0;n<r.length;n++)this.words[n]=e.words[n]^r.words[n];if(this!==e)for(;n<e.length;n++)this.words[n]=e.words[n];return this.length=e.length,this.strip()},a.prototype.ixor=function(t){return n(0==(this.negative|t.negative)),this.iuxor(t)},a.prototype.xor=function(t){return this.length>t.length?this.clone().ixor(t):t.clone().ixor(this)},a.prototype.uxor=function(t){return this.length>t.length?this.clone().iuxor(t):t.clone().iuxor(this)},a.prototype.inotn=function(t){n("number"==typeof t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var i=0;i<e;i++)this.words[i]=67108863&~this.words[i];return r>0&&(this.words[i]=~this.words[i]&67108863>>26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n("number"==typeof t&&t>=0);var r=t/26|0,i=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1<<i:this.words[r]&~(1<<i),this.strip()},a.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a<n.length;a++)e=(0|r.words[a])+(0|n.words[a])+i,this.words[a]=67108863&e,i=e>>>26;for(;0!==i&&a<r.length;a++)e=(0|r.words[a])+i,this.words[a]=67108863&e,i=e>>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;a<r.length;a++)this.words[a]=r.words[a];return this},a.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var p=function(t,e,r){var 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mt=(c+(n=n+Math.imul(h,H)|0)|0)+((8191&(i=(i=i+Math.imul(h,G)|0)+Math.imul(f,H)|0))<<13)|0;c=((a=a+Math.imul(f,G)|0)+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(m,U),i=(i=Math.imul(m,V))+Math.imul(y,U)|0,a=Math.imul(y,V),n=n+Math.imul(d,H)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(g,H)|0,a=a+Math.imul(g,G)|0;var yt=(c+(n=n+Math.imul(h,W)|0)|0)+((8191&(i=(i=i+Math.imul(h,X)|0)+Math.imul(f,W)|0))<<13)|0;c=((a=a+Math.imul(f,X)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(m,H)|0,i=(i=i+Math.imul(m,G)|0)+Math.imul(y,H)|0,a=a+Math.imul(y,G)|0,n=n+Math.imul(d,W)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(g,W)|0,a=a+Math.imul(g,X)|0;var 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wt=(c+(n=n+Math.imul(h,at)|0)|0)+((8191&(i=(i=i+Math.imul(h,ot)|0)+Math.imul(f,at)|0))<<13)|0;c=((a=a+Math.imul(f,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(O,U),i=(i=Math.imul(O,V))+Math.imul(z,U)|0,a=Math.imul(z,V),n=n+Math.imul(C,H)|0,i=(i=i+Math.imul(C,G)|0)+Math.imul(L,H)|0,a=a+Math.imul(L,G)|0,n=n+Math.imul(M,W)|0,i=(i=i+Math.imul(M,X)|0)+Math.imul(S,W)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(k,J)|0,i=(i=i+Math.imul(k,K)|0)+Math.imul(T,J)|0,a=a+Math.imul(T,K)|0,n=n+Math.imul(b,Q)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,Q)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(m,rt)|0,i=(i=i+Math.imul(m,nt)|0)+Math.imul(y,rt)|0,a=a+Math.imul(y,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(g,at)|0,a=a+Math.imul(g,ot)|0;var kt=(c+(n=n+Math.imul(h,lt)|0)|0)+((8191&(i=(i=i+Math.imul(h,ct)|0)+Math.imul(f,lt)|0))<<13)|0;c=((a=a+Math.imul(f,ct)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(D,U),i=(i=Math.imul(D,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(O,H)|0,i=(i=i+Math.imul(O,G)|0)+Math.imul(z,H)|0,a=a+Math.imul(z,G)|0,n=n+Math.imul(C,W)|0,i=(i=i+Math.imul(C,X)|0)+Math.imul(L,W)|0,a=a+Math.imul(L,X)|0,n=n+Math.imul(M,J)|0,i=(i=i+Math.imul(M,K)|0)+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(k,Q)|0,i=(i=i+Math.imul(k,tt)|0)+Math.imul(T,Q)|0,a=a+Math.imul(T,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(m,at)|0,i=(i=i+Math.imul(m,ot)|0)+Math.imul(y,at)|0,a=a+Math.imul(y,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ct)|0)+Math.imul(g,lt)|0,a=a+Math.imul(g,ct)|0;var Tt=(c+(n=n+Math.imul(h,ht)|0)|0)+((8191&(i=(i=i+Math.imul(h,ft)|0)+Math.imul(f,ht)|0))<<13)|0;c=((a=a+Math.imul(f,ft)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(D,H)|0,i=(i=i+Math.imul(D,G)|0)+Math.imul(R,H)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(O,W)|0,i=(i=i+Math.imul(O,X)|0)+Math.imul(z,W)|0,a=a+Math.imul(z,X)|0,n=n+Math.imul(C,J)|0,i=(i=i+Math.imul(C,K)|0)+Math.imul(L,J)|0,a=a+Math.imul(L,K)|0,n=n+Math.imul(M,Q)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,Q)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(k,rt)|0,i=(i=i+Math.imul(k,nt)|0)+Math.imul(T,rt)|0,a=a+Math.imul(T,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(m,lt)|0,i=(i=i+Math.imul(m,ct)|0)+Math.imul(y,lt)|0,a=a+Math.imul(y,ct)|0,n=n+Math.imul(d,ht)|0,i=(i=i+Math.imul(d,ft)|0)+Math.imul(g,ht)|0,a=a+Math.imul(g,ft)|0;var At=(c+(n=n+Math.imul(h,dt)|0)|0)+((8191&(i=(i=i+Math.imul(h,gt)|0)+Math.imul(f,dt)|0))<<13)|0;c=((a=a+Math.imul(f,gt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,H),i=(i=Math.imul(B,G))+Math.imul(N,H)|0,a=Math.imul(N,G),n=n+Math.imul(D,W)|0,i=(i=i+Math.imul(D,X)|0)+Math.imul(R,W)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(O,J)|0,i=(i=i+Math.imul(O,K)|0)+Math.imul(z,J)|0,a=a+Math.imul(z,K)|0,n=n+Math.imul(C,Q)|0,i=(i=i+Math.imul(C,tt)|0)+Math.imul(L,Q)|0,a=a+Math.imul(L,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(k,at)|0,i=(i=i+Math.imul(k,ot)|0)+Math.imul(T,at)|0,a=a+Math.imul(T,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ct)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ct)|0,n=n+Math.imul(m,ht)|0,i=(i=i+Math.imul(m,ft)|0)+Math.imul(y,ht)|0,a=a+Math.imul(y,ft)|0;var Mt=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,gt)|0)+Math.imul(g,dt)|0))<<13)|0;c=((a=a+Math.imul(g,gt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,W),i=(i=Math.imul(B,X))+Math.imul(N,W)|0,a=Math.imul(N,X),n=n+Math.imul(D,J)|0,i=(i=i+Math.imul(D,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(O,Q)|0,i=(i=i+Math.imul(O,tt)|0)+Math.imul(z,Q)|0,a=a+Math.imul(z,tt)|0,n=n+Math.imul(C,rt)|0,i=(i=i+Math.imul(C,nt)|0)+Math.imul(L,rt)|0,a=a+Math.imul(L,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(k,lt)|0,i=(i=i+Math.imul(k,ct)|0)+Math.imul(T,lt)|0,a=a+Math.imul(T,ct)|0,n=n+Math.imul(b,ht)|0,i=(i=i+Math.imul(b,ft)|0)+Math.imul(_,ht)|0,a=a+Math.imul(_,ft)|0;var St=(c+(n=n+Math.imul(m,dt)|0)|0)+((8191&(i=(i=i+Math.imul(m,gt)|0)+Math.imul(y,dt)|0))<<13)|0;c=((a=a+Math.imul(y,gt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),i=(i=Math.imul(B,K))+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(D,Q)|0,i=(i=i+Math.imul(D,tt)|0)+Math.imul(R,Q)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(O,rt)|0,i=(i=i+Math.imul(O,nt)|0)+Math.imul(z,rt)|0,a=a+Math.imul(z,nt)|0,n=n+Math.imul(C,at)|0,i=(i=i+Math.imul(C,ot)|0)+Math.imul(L,at)|0,a=a+Math.imul(L,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ct)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ct)|0,n=n+Math.imul(k,ht)|0,i=(i=i+Math.imul(k,ft)|0)+Math.imul(T,ht)|0,a=a+Math.imul(T,ft)|0;var Et=(c+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,gt)|0)+Math.imul(_,dt)|0))<<13)|0;c=((a=a+Math.imul(_,gt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,Q),i=(i=Math.imul(B,tt))+Math.imul(N,Q)|0,a=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,i=(i=i+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(O,at)|0,i=(i=i+Math.imul(O,ot)|0)+Math.imul(z,at)|0,a=a+Math.imul(z,ot)|0,n=n+Math.imul(C,lt)|0,i=(i=i+Math.imul(C,ct)|0)+Math.imul(L,lt)|0,a=a+Math.imul(L,ct)|0,n=n+Math.imul(M,ht)|0,i=(i=i+Math.imul(M,ft)|0)+Math.imul(S,ht)|0,a=a+Math.imul(S,ft)|0;var Ct=(c+(n=n+Math.imul(k,dt)|0)|0)+((8191&(i=(i=i+Math.imul(k,gt)|0)+Math.imul(T,dt)|0))<<13)|0;c=((a=a+Math.imul(T,gt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(D,at)|0,i=(i=i+Math.imul(D,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(O,lt)|0,i=(i=i+Math.imul(O,ct)|0)+Math.imul(z,lt)|0,a=a+Math.imul(z,ct)|0,n=n+Math.imul(C,ht)|0,i=(i=i+Math.imul(C,ft)|0)+Math.imul(L,ht)|0,a=a+Math.imul(L,ft)|0;var Lt=(c+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,gt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((a=a+Math.imul(S,gt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,i=(i=i+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ct)|0,n=n+Math.imul(O,ht)|0,i=(i=i+Math.imul(O,ft)|0)+Math.imul(z,ht)|0,a=a+Math.imul(z,ft)|0;var Pt=(c+(n=n+Math.imul(C,dt)|0)|0)+((8191&(i=(i=i+Math.imul(C,gt)|0)+Math.imul(L,dt)|0))<<13)|0;c=((a=a+Math.imul(L,gt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ct))+Math.imul(N,lt)|0,a=Math.imul(N,ct),n=n+Math.imul(D,ht)|0,i=(i=i+Math.imul(D,ft)|0)+Math.imul(R,ht)|0,a=a+Math.imul(R,ft)|0;var Ot=(c+(n=n+Math.imul(O,dt)|0)|0)+((8191&(i=(i=i+Math.imul(O,gt)|0)+Math.imul(z,dt)|0))<<13)|0;c=((a=a+Math.imul(z,gt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,n=Math.imul(B,ht),i=(i=Math.imul(B,ft))+Math.imul(N,ht)|0,a=Math.imul(N,ft);var zt=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(i=(i=i+Math.imul(D,gt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((a=a+Math.imul(R,gt)|0)+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863;var It=(c+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,gt))+Math.imul(N,dt)|0))<<13)|0;return c=((a=Math.imul(N,gt))+(i>>>13)|0)+(It>>>26)|0,It&=67108863,l[0]=vt,l[1]=mt,l[2]=yt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=kt,l[8]=Tt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Ct,l[14]=Lt,l[15]=Pt,l[16]=Ot,l[17]=zt,l[18]=It,0!==c&&(l[19]=c,r.length++),r};function d(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(p=f),a.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?p(this,t,e):r<63?f(this,t,e):r<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),c=Math.max(0,a-t.length+1);c<=l;c++){var u=a-c,h=(0|t.words[u])*(0|e.words[c]),f=67108863&h;s=67108863&(f=f+s|0),i+=(o=(o=o+(h/67108864|0)|0)+(f>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):d(this,t,e)},g.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},g.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},g.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]]},g.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),c=Math.sin(2*Math.PI/s),u=0;u<i;u+=s)for(var h=l,f=c,p=0;p<o;p++){var d=r[u+p],g=n[u+p],v=r[u+p+o],m=n[u+p+o],y=h*v-f*m;m=h*m+f*v,v=y,r[u+p]=d+v,n[u+p]=g+m,r[u+p+o]=d-v,n[u+p+o]=g-m,p!==s&&(y=l*h-c*f,f=l*f+c*h,h=y)}},g.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},g.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}},g.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},g.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==(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.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),c=new Array(n),u=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,c,n),this.transform(o,a,s,l,n,i),this.transform(c,a,u,h,n,i);for(var p=0;p<n;p++){var d=s[p]*u[p]-l[p]*h[p];l[p]=s[p]*h[p]+l[p]*u[p],s[p]=d}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),d(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=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(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("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){var i;n("number"==typeof t&&t>=0),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 c=0;c<o;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,c=0;c<this.length;c++)this.words[c]=this.words[c+o];else this.words[0]=0,this.length=1;var u=0;for(c=this.length-1;c>=0&&(0!==u||c>=i);c--){var h=0|this.words[c];this.words[c]=u<<26-a|h>>>a,u=h&s}return l&&0!==u&&(l.words[l.length++]=u),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,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;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)).length=l+1,s.words=new Array(s.length);for(var c=0;c<s.length;c++)s.words[c]=0}var u=n.clone()._ishlnsubmul(i,1,l);0===u.negative&&(n=u,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){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}: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);var i,o,s},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),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=r.clone(),h=e.clone();!e.isZero();){for(var f=0,p=1;0==(e.words[0]&p)&&f<26;++f,p<<=1);if(f>0)for(e.iushrn(f);f-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(u),o.isub(h)),i.iushrn(1),o.iushrn(1);for(var d=0,g=1;0==(r.words[0]&g)&&d<26;++d,g<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),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(c)}},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,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var h=0,f=1;0==(r.words[0]&f)&&h<26;++h,f<<=1);if(h>0)for(r.iushrn(h);h-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},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];a=(s+=a)>>>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,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,"Number is too big");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},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-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},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 w(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 v={k256:null,p224:null,p192:null,p25519:null};function m(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function y(){m.call(this,"k256","ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f")}function x(){m.call(this,"p224","ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001")}function b(){m.call(this,"p192","ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff")}function _(){m.call(this,"25519","7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed")}function w(t){if("string"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),"modulus must be greater than 1"),this.m=t,this.prime=null}function k(t){w.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}m.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},m.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).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},m.prototype.split=function(t,e){t.iushrn(this.n,0,e)},m.prototype.imulK=function(t){return t.imul(this.k)},i(y,m),y.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},y.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(x,m),i(b,m),i(_,m),_.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(v[t])return v[t];var e;if("k256"===t)e=new y;else if("p224"===t)e=new x;else if("p192"===t)e=new b;else{if("p25519"!==t)throw new Error("Unknown prime "+t);e=new _}return v[t]=e,e},w.prototype._verify1=function(t){n(0===t.negative,"red works only with positives"),n(t.red,"red works only with red numbers")},w.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")},w.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},w.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},w.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)},w.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},w.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)},w.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},w.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},w.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},w.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},w.prototype.isqr=function(t){return this.imul(t,t.clone())},w.prototype.sqr=function(t){return this.mul(t,t)},w.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(),c=this.m.subn(1).iushrn(1),u=this.m.bitLength();for(u=new a(2*u*u).toRed(this);0!==this.pow(u,c).cmp(l);)u.redIAdd(l);for(var h=this.pow(u,i),f=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var g=p,v=0;0!==g.cmp(s);v++)g=g.redSqr();n(v<d);var m=this.pow(h,new a(1).iushln(d-v-1));f=f.redMul(m),h=m.redSqr(),p=p.redMul(h),d=v}return f},w.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},w.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var c=e.words[n],u=l-1;u>=0;u--){var 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u(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=["sans-serif","sans-serif","sans-serif"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=["auto","auto","auto"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=["x","y","z"],this.labelEnable=[!0,!0,!0],this.labelFont="sans-serif",this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=["auto","auto","auto"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],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=[0,0,0],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=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var h=u.prototype;function f(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}h.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?Array.isArray(a)&&Array.isArray(a[0]):Array.isArray(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),c=e.bind(this,!0,function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]}),u=!1,h=!1;if("bounds"in t)for(var f=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)f[p][d]!==this.bounds[p][d]&&(h=!0),this.bounds[p][d]=f[p][d];if("ticks"in t){r=t.ticks,u=!0,this.autoTicks=!1;for(p=0;p<3;++p)this.tickSpacing[p]=0}else a("tickSpacing")&&(this.autoTicks=!0,h=!0);if(this._firstInit&&("ticks"in t||"tickSpacing"in t||(this.autoTicks=!0),h=!0,u=!0,this._firstInit=!1),h&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(p=0;p<3;++p)r[p].sort(function(t,e){return t.x-e.x});s.equal(r,this.ticks)?u=!1:this.ticks=r}o("tickEnable"),l("tickFont")&&(u=!0),a("tickSize"),a("tickAngle"),a("tickPad"),c("tickColor");var g=l("labels");l("labelFont")&&(g=!0),o("labelEnable"),a("labelSize"),a("labelPad"),c("labelColor"),o("lineEnable"),o("lineMirror"),a("lineWidth"),c("lineColor"),o("lineTickEnable"),o("lineTickMirror"),a("lineTickLength"),a("lineTickWidth"),c("lineTickColor"),o("gridEnable"),a("gridWidth"),c("gridColor"),o("zeroEnable"),c("zeroLineColor"),a("zeroLineWidth"),o("backgroundEnable"),c("backgroundColor"),this._text?this._text&&(g||u)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new f,new f,new f];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var h=a,f=s,p=o,d=l;c&1<<u&&(h=s,f=a,p=l,d=o),h[u]=r[0][u],f[u]=r[1][u],i[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var g=[0,0,0],v={model:l,view:l,projection:l,_ortho:!1};h.isOpaque=function(){return!0},h.isTransparent=function(){return!1},h.drawTransparent=function(t){};var m=[0,0,0],y=[0,0,0],x=[0,0,0];h.draw=function(t){t=t||v;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,u=o(r,n,i,a,s),h=u.cubeEdges,f=u.axis,b=n[12],_=n[13],w=n[14],k=n[15],T=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*k)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=h[A],this.lastCubeProps.axis[A]=f[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,h,f);e=this.gl;var S,E=g;for(A=0;A<3;++A)this.backgroundEnable[A]?E[A]=f[A]:E[A]=0;this._background.draw(r,n,i,a,E,this.backgroundColor),this._lines.bind(r,n,i,this);for(A=0;A<3;++A){var C=[0,0,0];f[A]>0?C[A]=a[1][A]:C[A]=a[0][A];for(var L=0;L<2;++L){var P=(A+1+L)%3,O=(A+1+(1^L))%3;this.gridEnable[P]&&this._lines.drawGrid(P,O,this.bounds,C,this.gridColor[P],this.gridWidth[P]*this.pixelRatio)}for(L=0;L<2;++L){P=(A+1+L)%3,O=(A+1+(1^L))%3;this.zeroEnable[O]&&Math.min(a[0][O],a[1][O])<=0&&Math.max(a[0][O],a[1][O])>=0&&this._lines.drawZero(P,O,this.bounds,C,this.zeroLineColor[O],this.zeroLineWidth[O]*this.pixelRatio)}}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var z=c(m,M[A].primalMinor),I=c(y,M[A].mirrorMinor),D=this.lineTickLength;for(L=0;L<3;++L){var R=T/r[5*L];z[L]*=D[L]*R,I[L]*=D[L]*R}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,I,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio);var F,B;function N(t){(B=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0?N(n):a>0&&l<0?N(n):a<0&&l>0?N(n):a<0&&l<0?N(n):o>0&&s>0?N(i):o>0&&s<0?N(i):o<0&&s>0?N(i):o<0&&s<0&&N(i)}for(A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,q=c(x,M[A].primalOffset);for(L=0;L<3;++L)this.lineTickEnable[A]&&(q[L]+=T*U[L]*Math.max(this.lineTickLength[L],0)/r[5*L]);var H=[0,0,0];if(H[A]=1,this.tickEnable[A]){-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]="auto"):this.tickAlign[A]=-1,F=1,"auto"===(S=[this.tickAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(""+S[0]),B=[0,0,0],j(A,U,V);for(L=0;L<3;++L)q[L]+=T*U[L]*this.tickPad[L]/r[5*L];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],q,this.tickColor[A],H,B,S)}if(this.labelEnable[A]){F=0,B=[0,0,0],this.labels[A].length>4&&(N(A),F=1),"auto"===(S=[this.labelAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(""+S[0]);for(L=0;L<3;++L)q[L]+=T*U[L]*this.labelPad[L]/r[5*L];q[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],q,this.labelColor[A],[0,0,0],B,S)}}this._text.unbind()},h.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":234,"./lib/cube.js":235,"./lib/lines.js":236,"./lib/text.js":238,"./lib/ticks.js":239}],234:[function(t,e,r){"use strict";e.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,h=[0,0,0],f=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),h[l]=p,f[l]=p;for(var d=-1;d<=1;d+=2){h[c]=d;for(var g=-1;g<=1;g+=2)h[u]=g,e.push(h[0],h[1],h[2],f[0],f[1],f[2]),s+=1}var v=c;c=u,u=v}var m=n(t,new Float32Array(e)),y=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:m,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:m,type:t.FLOAT,size:3,offset:12,stride:24}],y),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,m,x,b)};var n=t("gl-buffer"),i=t("gl-vao"),a=t("./shaders").bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{"./shaders":237,"gl-buffer":241,"gl-vao":327}],235:[function(t,e,r){"use strict";e.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var y=0,x=0;x<2;++x){u[2]=a[x][2];for(var b=0;b<2;++b){u[1]=a[b][1];for(var _=0;_<2;++_)u[0]=a[_][0],f(l[y],u,s),y+=1}}for(var w=-1,x=0;x<8;++x){for(var k=l[x][3],T=0;T<3;++T)c[x][T]=l[x][T]/k;p&&(c[x][2]*=-1),k<0&&(w<0?w=x:c[x][2]<c[w][2]&&(w=x))}if(w<0){w=0;for(var A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,C=-1,L=0;L<2;++L){var P=L<<A,O=P+(L<<M)+(1-L<<S),z=P+(1-L<<M)+(L<<S);o(c[P],c[O],c[z],h)<0||(L?E=1:C=1)}if(E<0||C<0)C>E&&(w|=1<<A);else{for(var L=0;L<2;++L){var P=L<<A,O=P+(L<<M)+(1-L<<S),z=P+(1-L<<M)+(L<<S),I=d([l[P],l[O],l[z],l[P+(1<<M)+(1<<S)]]);L?E=I:C=I}C>E&&(w|=1<<A)}}}for(var D=7^w,R=-1,x=0;x<8;++x)x!==w&&x!==D&&(R<0?R=x:c[R][1]>c[x][1]&&(R=x));for(var F=-1,x=0;x<3;++x){var B=R^1<<x;if(B!==w&&B!==D){F<0&&(F=B);var S=c[B];S[0]<c[F][0]&&(F=B)}}for(var N=-1,x=0;x<3;++x){var B=R^1<<x;if(B!==w&&B!==D&&B!==F){N<0&&(N=B);var S=c[B];S[0]>c[N][0]&&(N=B)}}var j=g;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^N)]=R&N;var U=7^N;U===w||U===D?(U=7^F,j[n.log2(N^U)]=U&N):j[n.log2(F^U)]=U&F;for(var V=v,q=w,A=0;A<3;++A)V[A]=q&1<<A?-1:1;return m};var n=t("bit-twiddle"),i=t("gl-mat4/multiply"),a=t("split-polygon"),o=t("robust-orientation"),s=new Array(16),l=new Array(8),c=new Array(8),u=new Array(3),h=[0,0,0];function f(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],c[t]=[1,1,1]}();var p=[[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]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-i,h=l[0]/l[3]-n,f=l[1]/l[3]-i;o+=Math.abs(c*f-u*h)}return o}var g=[1,1,1],v=[0,0,0],m={cubeEdges:g,axis:v}},{"bit-twiddle":92,"gl-mat4/multiply":267,"robust-orientation":510,"split-polygon":527}],236:[function(t,e,r){"use strict";e.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var h=0;h<3;++h){for(var f=o.length/3|0,d=0;d<r[h].length;++d){var g=+r[h][d].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}var v=o.length/3|0;s[h]=f,l[h]=v-f;for(var f=o.length/3|0,m=0;m<r[h].length;++m){var g=+r[h][m].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}var v=o.length/3|0;c[h]=f,u[h]=v-f}var y=n(t,new Float32Array(o)),x=i(t,[{buffer:y,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,y,x,b,l,s,u,c)};var n=t("gl-buffer"),i=t("gl-vao"),a=t("./shaders").line,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function h(t){return t[0]=t[1]=t[2]=0,t}function f(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=h(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,u=f(c,r);u[t]+=e[0][t],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=h(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=h(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=h(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=h(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var u=h(s);u[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=u;var p=f(c,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=h(o);d[t]=1,this.shader.uniforms.majorAxis=d;var g=h(l);g[t]=1,this.shader.uniforms.screenAxis=g,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=h(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=f(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;var p=h(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{"./shaders":237,"gl-buffer":241,"gl-vao":327}],237:[function(t,e,r){"use strict";var n=t("glslify"),i=t("gl-shader"),a=n(["precision highp float;\n#define GLSLIFY 1\n\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"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 color;\nvoid main() {\n gl_FragColor = color;\n}"]);r.line=function(t){return i(t,a,o,null,[{name:"position",type:"vec3"}])};var s=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\nuniform vec3 offset, axis, alignDir, alignOpt;\nuniform float scale, angle, pixelScale;\nuniform vec2 resolution;\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\nfloat computeViewAngle(vec3 a, vec3 b) {\n vec3 A = project(a);\n vec3 B = project(b);\n\n return atan(\n (B.y - A.y) * resolution.y,\n (B.x - A.x) * resolution.x\n );\n}\n\nconst float PI = 3.141592;\nconst float TWO_PI = 2.0 * PI;\nconst float HALF_PI = 0.5 * PI;\nconst float ONE_AND_HALF_PI = 1.5 * PI;\n\nint option = int(floor(alignOpt.x + 0.001));\nfloat hv_ratio = alignOpt.y;\nbool enableAlign = (alignOpt.z != 0.0);\n\nfloat mod_angle(float a) {\n return mod(a, PI);\n}\n\nfloat positive_angle(float a) {\n return mod_angle((a < 0.0) ?\n a + TWO_PI :\n a\n );\n}\n\nfloat look_upwards(float a) {\n float b = positive_angle(a);\n return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\n b - PI :\n b;\n}\n\nfloat look_horizontal_or_vertical(float a, float ratio) {\n // ratio controls the ratio between being horizontal to (vertical + horizontal)\n // if ratio is set to 0.5 then it is 50%, 50%.\n // when using a higher ratio e.g. 0.75 the result would\n // likely be more horizontal than vertical.\n\n float b = positive_angle(a);\n\n return\n (b < ( ratio) * HALF_PI) ? 0.0 :\n (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\n (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\n (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\n 0.0;\n}\n\nfloat roundTo(float a, float b) {\n return float(b * floor((a + 0.5 * b) / b));\n}\n\nfloat look_round_n_directions(float a, int n) {\n float b = positive_angle(a);\n float div = TWO_PI / float(n);\n float c = roundTo(b, div);\n return look_upwards(c);\n}\n\nfloat applyAlignOption(float rawAngle, float delta) {\n return\n (option > 2) ? look_round_n_directions(rawAngle + delta, option) : // option 3-n: round to n directions\n (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\n (option == 1) ? rawAngle + delta : // use free angle, and flip to align with one direction of the axis\n (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\n (option ==-1) ? 0.0 : // useful for backward compatibility, all texts remains horizontal\n rawAngle; // otherwise return back raw input angle\n}\n\nbool isAxisTitle = (axis.x == 0.0) &&\n (axis.y == 0.0) &&\n (axis.z == 0.0);\n\nvoid main() {\n //Compute world offset\n float axisDistance = position.z;\n vec3 dataPosition = axisDistance * axis + offset;\n\n float beta = angle; // i.e. user defined attributes for each tick\n\n float axisAngle;\n float clipAngle;\n float flip;\n\n if (enableAlign) {\n axisAngle = (isAxisTitle) ? HALF_PI :\n computeViewAngle(dataPosition, dataPosition + axis);\n clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\n\n axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\n clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\n\n flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\n vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\n\n beta += applyAlignOption(clipAngle, flip * PI);\n }\n\n //Compute plane offset\n vec2 planeCoord = position.xy * pixelScale;\n\n mat2 planeXform = scale * mat2(\n cos(beta), sin(beta),\n -sin(beta), cos(beta)\n );\n\n vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\n\n //Compute clip position\n vec3 clipPosition = project(dataPosition);\n\n //Apply text offset in clip coordinates\n clipPosition += vec3(viewOffset, 0.0);\n\n //Done\n gl_Position = vec4(clipPosition, 1.0);\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 color;\nvoid main() {\n gl_FragColor = color;\n}"]);r.text=function(t){return i(t,s,l,null,[{name:"position",type:"vec3"}])};var c=n(["precision highp float;\n#define GLSLIFY 1\n\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\n vec3 signAxis = sign(bounds[1] - bounds[0]);\n\n vec3 realNormal = signAxis * normal;\n\n if(dot(realNormal, enable) > 0.0) {\n vec3 minRange = min(bounds[0], bounds[1]);\n vec3 maxRange = max(bounds[0], bounds[1]);\n vec3 nPosition = mix(minRange, maxRange, 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\n colorChannel = abs(realNormal);\n}"]),u=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 colors[3];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n gl_FragColor = colorChannel.x * colors[0] +\n colorChannel.y * colors[1] +\n colorChannel.z * colors[2];\n}"]);r.bg=function(t){return i(t,c,u,null,[{name:"position",type:"vec3"},{name:"normal",type:"vec3"}])}},{"gl-shader":301,glslify:409}],238:[function(t,e,r){(function(r){"use strict";e.exports=function(t,e,r,a,s,l){var u=n(t),h=i(t,[{buffer:u,size:3}]),f=o(t);f.attributes.position.location=0;var p=new c(t,f,u,h);return p.update(e,r,a,s,l),p};var n=t("gl-buffer"),i=t("gl-vao"),a=t("vectorize-text"),o=t("./shaders").text,s=window||r.global||{},l=s.__TEXT_CACHE||{};s.__TEXT_CACHE={};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var u=c.prototype,h=[0,0];u.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},u.unbind=function(){this.vao.unbind()},u.update=function(t,e,r,n,i){var o=[];function s(t,e,r,n,i,s){var c=l[r];c||(c=l[r]={});var u=c[e];u||(u=c[e]=function(t,e){try{return a(t,e)}catch(e){return console.warn('error vectorizing text:"'+t+'" 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g=0;g<n[d].length;++g)n[d][g].text&&s(n[d][g].x,n[d][g].text,n[d][g].font||i,n[d][g].fontSize||12,1.25,p);u[d]=(o.length/3|0)-c[d]}this.buffer.update(o),this.tickOffset=c,this.tickCount=u,this.labelOffset=h,this.labelCount=f},u.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(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.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},u.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(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.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},u.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this,t("_process"))},{"./shaders":237,_process:482,"gl-buffer":241,"gl-vao":327,"vectorize-text":550}],239:[function(t,e,r){"use 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f=e.model||c,p=e.view||c,m=e.projection||c,y=e._ortho||!1,x=t.bounds,b=(h=h||a(f,p,m,x,y)).axis;o(u,p,f),o(u,m,u);for(var _=g,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var k=n(s(u,u));s(u,u);for(var T=0;T<3;++T){var A=(T+1)%3,M=(T+2)%3,S=v;t:for(var w=0;w<2;++w){var E=[];if(b[T]<0!=!!w){S[T]=x[w][T];for(var C=0;C<2;++C){S[A]=x[C^w][A];for(var L=0;L<2;++L)S[M]=x[L^C^w][M],E.push(S.slice())}for(var P=y?5:4,C=P;C===P;++C){if(0===E.length)continue t;E=i.positive(E,k[C])}for(var C=0;C<E.length;++C)for(var M=E[C],O=d(v,u,M,r,l),L=0;L<3;++L)_[L].lo=Math.min(_[L].lo,M[L]),_[L].hi=Math.max(_[L].hi,M[L]),L!==T&&(_[L].pixelsPerDataUnit=Math.min(_[L].pixelsPerDataUnit,Math.abs(O[L])))}}}return _};var n=t("extract-frustum-planes"),i=t("split-polygon"),a=t("./lib/cube.js"),o=t("gl-mat4/multiply"),s=t("gl-mat4/transpose"),l=t("gl-vec4/transformMat4"),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function h(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var f=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=f,s=p,c=0;c<3;++c)s[c]=o[c]=r[c];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,h=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(u*u+h*h)}return t}var g=[new h(1/0,-1/0,1/0),new h(1/0,-1/0,1/0),new h(1/0,-1/0,1/0)],v=[0,0,0]},{"./lib/cube.js":235,"extract-frustum-planes":224,"gl-mat4/multiply":267,"gl-mat4/transpose":276,"gl-vec4/transformMat4":398,"split-polygon":527}],241:[function(t,e,r){"use strict";var n=t("typedarray-pool"),i=t("ndarray-ops"),a=t("ndarray"),o=["uint8","uint8_clamped","uint16","uint32","int8","int16","int32","float32"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function c(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 u(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if("number"!=typeof e&&(e=-1),this.bind(),"object"==typeof t&&"undefined"!=typeof t.shape){var r=t.dtype;if(o.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&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var h;h=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,"uint16"):u(t,"float32"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?h:h.subarray(0,t.length),e),n.free(h)}else if("object"==typeof t&&"number"==typeof t.length)this.length=c(this.gl,this.type,this.length,this.usage,t,e);else{if("number"!=typeof t&&void 0!==t)throw new Error("gl-buffer: Invalid data type");if(e>=0)throw new Error("gl-buffer: Cannot specify offset when resizing buffer");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},e.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||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(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==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 i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},{ndarray:450,"ndarray-ops":444,"typedarray-pool":545}],242:[function(t,e,r){"use strict";var n=t("gl-vec3"),i=function(t,e){for(var r=0;r<t.length;r++)if(t[r]>=e)return r-1;return r},a=n.create(),o=n.create(),s=function(t,e,r){return t<e?e:t>r?r:t},l=function(t,e,r,l){var c=t[0],u=t[1],h=t[2],f=r[0].length,p=r[1].length,d=r[2].length,g=i(r[0],c),v=i(r[1],u),m=i(r[2],h),y=g+1,x=v+1,b=m+1;if(l&&(g=s(g,0,f-1),y=s(y,0,f-1),v=s(v,0,p-1),x=s(x,0,p-1),m=s(m,0,d-1),b=s(b,0,d-1)),g<0||v<0||m<0||y>=f||x>=p||b>=d)return n.create();var _=(c-r[0][g])/(r[0][y]-r[0][g]),w=(u-r[1][v])/(r[1][x]-r[1][v]),k=(h-r[2][m])/(r[2][b]-r[2][m]);(_<0||_>1||isNaN(_))&&(_=0),(w<0||w>1||isNaN(w))&&(w=0),(k<0||k>1||isNaN(k))&&(k=0);var T=m*f*p,A=b*f*p,M=v*f,S=x*f,E=g,C=y,L=e[M+T+E],P=e[M+T+C],O=e[S+T+E],z=e[S+T+C],I=e[M+A+E],D=e[M+A+C],R=e[S+A+E],F=e[S+A+C],B=n.create();return n.lerp(B,L,P,_),n.lerp(a,O,z,_),n.lerp(B,B,a,w),n.lerp(a,I,D,_),n.lerp(o,R,F,_),n.lerp(a,a,o,w),n.lerp(B,B,a,k),B};e.exports=function(t,e){var r;r=t.positions?t.positions:function(t){for(var e=t[0],r=t[1],n=t[2],i=[],a=0;a<n.length;a++)for(var o=0;o<r.length;o++)for(var s=0;s<e.length;s++)i.push([n[a],r[o],e[s]]);return i}(t.meshgrid);var i=t.meshgrid,a=t.vectors,o={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vertexNormals:[],vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),o;for(var s=0,c=1/0,u=-1/0,h=1/0,f=-1/0,p=1/0,d=-1/0,g=null,v=null,m=[],y=1/0,x=0;x<r.length;x++){var b,_=r[x];c=Math.min(_[0],c),u=Math.max(_[0],u),h=Math.min(_[1],h),f=Math.max(_[1],f),p=Math.min(_[2],p),d=Math.max(_[2],d),b=i?l(_,a,i,!0):a[x],n.length(b)>s&&(s=n.length(b)),x&&(y=Math.min(y,2*n.distance(g,_)/(n.length(v)+n.length(b)))),g=_,v=b,m.push(b)}var w=[c,h,p],k=[u,f,d];e&&(e[0]=w,e[1]=k),0===s&&(s=1);var T=1/s;isFinite(y)&&!isNaN(y)||(y=1),o.vectorScale=y;var A=function(t,e,r){var i=n.create();return void 0!==t&&n.set(i,t,e,r),i}(0,1,0),M=t.coneSize||.5;t.absoluteConeSize&&(M=t.absoluteConeSize*T),o.coneScale=M;x=0;for(var S=0;x<r.length;x++)for(var E=(_=r[x])[0],C=_[1],L=_[2],P=m[x],O=n.length(P)*T,z=0;z<8;z++){o.positions.push([E,C,L,S++]),o.positions.push([E,C,L,S++]),o.positions.push([E,C,L,S++]),o.positions.push([E,C,L,S++]),o.positions.push([E,C,L,S++]),o.positions.push([E,C,L,S++]),o.vectors.push(P),o.vectors.push(P),o.vectors.push(P),o.vectors.push(P),o.vectors.push(P),o.vectors.push(P),o.vertexIntensity.push(O,O,O),o.vertexIntensity.push(O,O,O),o.vertexNormals.push(A,A,A),o.vertexNormals.push(A,A,A);var I=o.positions.length;o.cells.push([I-6,I-5,I-4],[I-3,I-2,I-1])}return o},e.exports.createConeMesh=t("./lib/conemesh")},{"./lib/conemesh":243,"gl-vec3":346}],243:[function(t,e,r){"use strict";var n=t("gl-shader"),i=t("gl-buffer"),a=t("gl-vao"),o=t("gl-texture2d"),s=t("normals"),l=t("gl-mat4/multiply"),c=t("gl-mat4/invert"),u=t("ndarray"),h=t("colormap"),f=t("simplicial-complex-contour"),p=t("typedarray-pool"),d=t("./shaders"),g=d.meshShader,v=d.pickShader,m=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function y(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,g,v,y,x,b,_,w,k,T){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleNormals=c,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=u,this.triangleCount=0,this.lineWidth=1,this.edgePositions=h,this.edgeColors=p,this.edgeUVs=d,this.edgeIds=f,this.edgeVAO=g,this.edgeCount=0,this.pointPositions=v,this.pointColors=x,this.pointUVs=b,this.pointSizes=_,this.pointIds=y,this.pointVAO=w,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=k,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.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=m,this._view=m,this._projection=m,this._resolution=[1,1]}var x=y.prototype;function b(t){var e=n(t,v.vertex,v.fragment,null,v.attributes);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.vector.location=5,e}x.isOpaque=function(){return this.opacity>=1},x.isTransparent=function(){return this.opacity<1},x.pickSlots=1,x.setPickBase=function(t){this.pickId=t},x.highlight=function(t){if(t&&this.contourEnable){for(var e=f(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var c=r[l],u=0;u<2;++u){var h=c[0];2===c.length&&(h=c[u]);for(var d=n[h][0],g=n[h][1],v=i[h],m=1-v,y=this.positions[d],x=this.positions[g],b=0;b<3;++b)o[s++]=v*y[b]+m*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},x.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),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.texture?(this.texture.dispose(),this.texture=o(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(function(t){for(var e=h({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 u(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],l=[],c=[],f=[],p=[],d=[],g=[],v=[],m=[],y=[],x=[],b=[],_=[],w=[],k=[];this.cells=r,this.positions=n;var T=t.vertexNormals,A=t.cellNormals,M=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,S=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!A&&(A=s.faceNormals(r,n,S)),A||T||(T=s.vertexNormals(r,n,M));var E=t.vertexColors,C=t.cellColors,L=t.meshColor||[1,1,1,1],P=t.vertexUVs,O=t.vertexIntensity,z=t.cellUVs,I=t.cellIntensity,D=1/0,R=-1/0;if(!P&&!z)if(O)if(t.vertexIntensityBounds)D=+t.vertexIntensityBounds[0],R=+t.vertexIntensityBounds[1];else for(var F=0;F<O.length;++F){var B=O[F];D=Math.min(D,B),R=Math.max(R,B)}else if(I)for(F=0;F<I.length;++F){B=I[F];D=Math.min(D,B),R=Math.max(R,B)}else for(F=0;F<n.length;++F){B=n[F][2];D=Math.min(D,B),R=Math.max(R,B)}this.intensity=O||(I?function(t,e,r){for(var n=new Array(e),i=0;i<e;++i)n[i]=0;var a=t.length;for(i=0;i<a;++i)for(var o=t[i],s=0;s<o.length;++s)n[o[s]]=r[i];return n}(r,n.length,I):function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n));var N=t.pointSizes,j=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(F=0;F<n.length;++F)for(var U=n[F],V=0;V<3;++V)!isNaN(U[V])&&isFinite(U[V])&&(this.bounds[0][V]=Math.min(this.bounds[0][V],U[V]),this.bounds[1][V]=Math.max(this.bounds[1][V],U[V]));var q=0,H=0,G=0;t:for(F=0;F<r.length;++F){var Y=r[F];switch(Y.length){case 1:for(U=n[X=Y[0]],V=0;V<3;++V)if(isNaN(U[V])||!isFinite(U[V]))continue t;x.push(U[0],U[1],U[2],U[3]),3===(Z=E?E[X]:C?C[F]:L).length?b.push(Z[0],Z[1],Z[2],1):b.push(Z[0],Z[1],Z[2],Z[3]),J=P?P[X]:O?[(O[X]-D)/(R-D),0]:z?z[F]:I?[(I[F]-D)/(R-D),0]:[(U[2]-D)/(R-D),0],_.push(J[0],J[1]),N?w.push(N[X]):w.push(j),k.push(F),G+=1;break;case 2:for(V=0;V<2;++V){U=n[X=Y[V]];for(var W=0;W<3;++W)if(isNaN(U[W])||!isFinite(U[W]))continue t}for(V=0;V<2;++V){U=n[X=Y[V]];g.push(U[0],U[1],U[2]),3===(Z=E?E[X]:C?C[F]:L).length?v.push(Z[0],Z[1],Z[2],1):v.push(Z[0],Z[1],Z[2],Z[3]),J=P?P[X]:O?[(O[X]-D)/(R-D),0]:z?z[F]:I?[(I[F]-D)/(R-D),0]:[(U[2]-D)/(R-D),0],m.push(J[0],J[1]),y.push(F)}H+=1;break;case 3:for(V=0;V<3;++V)for(U=n[X=Y[V]],W=0;W<3;++W)if(isNaN(U[W])||!isFinite(U[W]))continue t;for(V=0;V<3;++V){var X;U=n[X=Y[2-V]];a.push(U[0],U[1],U[2],U[3]);var Z,J,K,$=i[X];l.push($[0],$[1],$[2]),3===(Z=E?E[X]:C?C[F]:L).length?c.push(Z[0],Z[1],Z[2],1):c.push(Z[0],Z[1],Z[2],Z[3]),J=P?P[X]:O?[(O[X]-D)/(R-D),0]:z?z[F]:I?[(I[F]-D)/(R-D),0]:[(U[2]-D)/(R-D),0],p.push(J[0],J[1]),K=T?T[X]:A[F],f.push(K[0],K[1],K[2]),d.push(F)}q+=1}}this.pointCount=G,this.edgeCount=H,this.triangleCount=q,this.pointPositions.update(x),this.pointColors.update(b),this.pointUVs.update(_),this.pointSizes.update(w),this.pointIds.update(new Uint32Array(k)),this.edgePositions.update(g),this.edgeColors.update(v),this.edgeUVs.update(m),this.edgeIds.update(new Uint32Array(y)),this.trianglePositions.update(a),this.triangleVectors.update(l),this.triangleColors.update(c),this.triangleUVs.update(p),this.triangleNormals.update(f),this.triangleIds.update(new Uint32Array(d))}},x.drawTransparent=x.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||m,n=t.view||m,i=t.projection||m,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,inverseModel:m.slice(),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,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,contourColor:this.contourColor,texture:0};s.inverseModel=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);l(u,s.view,s.model),l(u,s.projection,u),c(u,u);for(o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var f=u[12+o],p=0;p<3;++p)f+=u[4*p+o]*this.lightPosition[p];s.lightPosition[o]=f/h}if(this.triangleCount>0){var d=this.triShader;d.bind(),d.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},x.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||m,n=t.view||m,i=t.projection||m,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,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;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*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind())},x.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3);return{index:Math.floor(r[1]/48),position:n,dataCoordinate:n}},x.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.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()},e.exports=function(t,e){1===arguments.length&&(t=(e=t).gl);var r=e.triShader||function(t){var e=n(t,g.vertex,g.fragment,null,g.attributes);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.vector.location=5,e}(t),s=b(t),l=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));l.generateMipmap(),l.minFilter=t.LINEAR_MIPMAP_LINEAR,l.magFilter=t.LINEAR;var c=i(t),h=i(t),f=i(t),p=i(t),d=i(t),v=i(t),m=a(t,[{buffer:c,type:t.FLOAT,size:4},{buffer:v,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:f,type:t.FLOAT,size:4},{buffer:p,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:3},{buffer:h,type:t.FLOAT,size:3}]),x=i(t),_=i(t),w=i(t),k=i(t),T=a(t,[{buffer:x,type:t.FLOAT,size:3},{buffer:k,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:_,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2}]),A=i(t),M=i(t),S=i(t),E=i(t),C=i(t),L=a(t,[{buffer:A,type:t.FLOAT,size:3},{buffer:C,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:M,type:t.FLOAT,size:4},{buffer:S,type:t.FLOAT,size:2},{buffer:E,type:t.FLOAT,size:1}]),P=i(t),O=new y(t,l,r,s,c,h,v,f,p,d,m,x,k,_,w,T,A,C,M,S,E,L,P,a(t,[{buffer:P,type:t.FLOAT,size:3}]));return O.update(e),O}},{"./shaders":244,colormap:126,"gl-buffer":241,"gl-mat4/invert":265,"gl-mat4/multiply":267,"gl-shader":301,"gl-texture2d":322,"gl-vao":327,ndarray:450,normals:453,"simplicial-complex-contour":518,"typedarray-pool":545}],244:[function(t,e,r){var n=t("glslify"),i=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n // Return up-vector for only-z vector.\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\n // Assign z = 0, x = -b, y = a:\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n return normalize(vec3(-v.y, v.x, 0.0));\n } else {\n return normalize(vec3(0.0, v.z, -v.y));\n }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n// segment + 0 top vertex\n// segment + 1 perimeter vertex a+1\n// segment + 2 perimeter vertex a\n// segment + 3 center base vertex\n// segment + 4 perimeter vertex a\n// segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n const float segmentCount = 8.0;\n\n float index = rawIndex - floor(rawIndex /\n (segmentCount * 6.0)) *\n (segmentCount * 6.0);\n\n float segment = floor(0.001 + index/6.0);\n float segmentIndex = index - (segment*6.0);\n\n normal = -normalize(d);\n\n if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n return mix(vec3(0.0), -d, coneOffset);\n }\n\n float nextAngle = (\n (segmentIndex > 0.99 && segmentIndex < 1.01) ||\n (segmentIndex > 4.99 && segmentIndex < 5.01)\n ) ? 1.0 : 0.0;\n float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n vec3 v1 = mix(d, vec3(0.0), coneOffset);\n vec3 v2 = v1 - d;\n\n vec3 u = getOrthogonalVector(d);\n vec3 v = normalize(cross(u, d));\n\n vec3 x = u * cos(angle) * length(d)*0.25;\n vec3 y = v * sin(angle) * length(d)*0.25;\n vec3 v3 = v2 + x + y;\n if (segmentIndex < 3.0) {\n vec3 tx = u * sin(angle);\n vec3 ty = v * -cos(angle);\n vec3 tangent = tx + ty;\n normal = normalize(cross(v3 - v1, tangent));\n }\n\n if (segmentIndex == 0.0) {\n return mix(d, vec3(0.0), coneOffset);\n }\n return v3;\n}\n\nattribute vec3 vector;\nattribute vec4 color, position;\nattribute vec2 uv;\nuniform float vectorScale;\nuniform float coneScale;\n\nuniform float coneOffset;\n\nuniform mat4 model\n , view\n , projection\n , inverseModel;\nuniform vec3 eyePosition\n , lightPosition;\n\nvarying vec3 f_normal\n , f_lightDirection\n , f_eyeDirection\n , f_data\n , f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n // Scale the vector magnitude to stay constant with\n // model & view changes.\n vec3 normal;\n vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\n vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n //Lighting geometry parameters\n vec4 cameraCoordinate = view * conePosition;\n cameraCoordinate.xyz /= cameraCoordinate.w;\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\n f_normal = normalize((vec4(normal,0.0) * inverseModel).xyz);\n\n // vec4 m_position = model * vec4(conePosition, 1.0);\n vec4 t_position = view * conePosition;\n gl_Position = projection * t_position;\n\n f_color = color;\n f_data = conePosition.xyz;\n f_position = position.xyz;\n f_uv = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(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\nfloat cookTorranceSpecular(\n vec3 lightDirection,\n vec3 viewDirection,\n vec3 surfaceNormal,\n float roughness,\n float fresnel) {\n\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n //Half angle vector\n vec3 H = normalize(lightDirection + viewDirection);\n\n //Geometric term\n float NdotH = max(dot(surfaceNormal, H), 0.0);\n float VdotH = max(dot(viewDirection, H), 0.000001);\n float LdotH = max(dot(lightDirection, H), 0.000001);\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\n float G = min(1.0, min(G1, G2));\n \n //Distribution term\n float D = beckmannDistribution(NdotH, roughness);\n\n //Fresnel term\n float F = pow(1.0 - VdotN, fresnel);\n\n //Multiply terms and done\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness\n , fresnel\n , kambient\n , kdiffuse\n , kspecular\n , opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal\n , f_lightDirection\n , f_eyeDirection\n , f_data\n , f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n vec3 N = normalize(f_normal);\n vec3 L = normalize(f_lightDirection);\n vec3 V = normalize(f_eyeDirection);\n\n if(gl_FrontFacing) {\n N = -N;\n }\n\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = litColor * opacity;\n}\n"]),o=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n // Return up-vector for only-z vector.\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\n // Assign z = 0, x = -b, y = a:\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n return normalize(vec3(-v.y, v.x, 0.0));\n } else {\n return normalize(vec3(0.0, v.z, -v.y));\n }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n// segment + 0 top vertex\n// segment + 1 perimeter vertex a+1\n// segment + 2 perimeter vertex a\n// segment + 3 center base vertex\n// segment + 4 perimeter vertex a\n// segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n const float segmentCount = 8.0;\n\n float index = rawIndex - floor(rawIndex /\n (segmentCount * 6.0)) *\n (segmentCount * 6.0);\n\n float segment = floor(0.001 + index/6.0);\n float segmentIndex = index - (segment*6.0);\n\n normal = -normalize(d);\n\n if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n return mix(vec3(0.0), -d, coneOffset);\n }\n\n float nextAngle = (\n (segmentIndex > 0.99 && segmentIndex < 1.01) ||\n (segmentIndex > 4.99 && segmentIndex < 5.01)\n ) ? 1.0 : 0.0;\n float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n vec3 v1 = mix(d, vec3(0.0), coneOffset);\n vec3 v2 = v1 - d;\n\n vec3 u = getOrthogonalVector(d);\n vec3 v = normalize(cross(u, d));\n\n vec3 x = u * cos(angle) * length(d)*0.25;\n vec3 y = v * sin(angle) * length(d)*0.25;\n vec3 v3 = v2 + x + y;\n if (segmentIndex < 3.0) {\n vec3 tx = u * sin(angle);\n vec3 ty = v * -cos(angle);\n vec3 tangent = tx + ty;\n normal = normalize(cross(v3 - v1, tangent));\n }\n\n if (segmentIndex == 0.0) {\n return mix(d, vec3(0.0), coneOffset);\n }\n return v3;\n}\n\nattribute vec3 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\n\nuniform float vectorScale;\nuniform float coneScale;\nuniform float coneOffset;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n vec3 normal;\n vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\n vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n gl_Position = projection * view * conePosition;\n f_id = id;\n f_position = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"normal",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec3"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec3"}]}},{glslify:409}],245:[function(t,e,r){e.exports={0:"NONE",1:"ONE",2:"LINE_LOOP",3:"LINE_STRIP",4:"TRIANGLES",5:"TRIANGLE_STRIP",6:"TRIANGLE_FAN",256:"DEPTH_BUFFER_BIT",512:"NEVER",513:"LESS",514:"EQUAL",515:"LEQUAL",516:"GREATER",517:"NOTEQUAL",518:"GEQUAL",519:"ALWAYS",768:"SRC_COLOR",769:"ONE_MINUS_SRC_COLOR",770:"SRC_ALPHA",771:"ONE_MINUS_SRC_ALPHA",772:"DST_ALPHA",773:"ONE_MINUS_DST_ALPHA",774:"DST_COLOR",775:"ONE_MINUS_DST_COLOR",776:"SRC_ALPHA_SATURATE",1024:"STENCIL_BUFFER_BIT",1028:"FRONT",1029:"BACK",1032:"FRONT_AND_BACK",1280:"INVALID_ENUM",1281:"INVALID_VALUE",1282:"INVALID_OPERATION",1285:"OUT_OF_MEMORY",1286:"INVALID_FRAMEBUFFER_OPERATION",2304:"CW",2305:"CCW",2849:"LINE_WIDTH",2884:"CULL_FACE",2885:"CULL_FACE_MODE",2886:"FRONT_FACE",2928:"DEPTH_RANGE",2929:"DEPTH_TEST",2930:"DEPTH_WRITEMASK",2931:"DEPTH_CLEAR_VALUE",2932:"DEPTH_FUNC",2960:"STENCIL_TEST",2961:"STENCIL_CLEAR_VALUE",2962:"STENCIL_FUNC",2963:"STENCIL_VALUE_MASK",2964:"STENCIL_FAIL",2965:"STENCIL_PASS_DEPTH_FAIL",2966:"STENCIL_PASS_DEPTH_PASS",2967:"STENCIL_REF",2968:"STENCIL_WRITEMASK",2978:"VIEWPORT",3024:"DITHER",3042:"BLEND",3088:"SCISSOR_BOX",3089:"SCISSOR_TEST",3106:"COLOR_CLEAR_VALUE",3107:"COLOR_WRITEMASK",3317:"UNPACK_ALIGNMENT",3333:"PACK_ALIGNMENT",3379:"MAX_TEXTURE_SIZE",3386:"MAX_VIEWPORT_DIMS",3408:"SUBPIXEL_BITS",3410:"RED_BITS",3411:"GREEN_BITS",3412:"BLUE_BITS",3413:"ALPHA_BITS",3414:"DEPTH_BITS",3415:"STENCIL_BITS",3553:"TEXTURE_2D",4352:"DONT_CARE",4353:"FASTEST",4354:"NICEST",5120:"BYTE",5121:"UNSIGNED_BYTE",5122:"SHORT",5123:"UNSIGNED_SHORT",5124:"INT",5125:"UNSIGNED_INT",5126:"FLOAT",5386:"INVERT",5890:"TEXTURE",6401:"STENCIL_INDEX",6402:"DEPTH_COMPONENT",6406:"ALPHA",6407:"RGB",6408:"RGBA",6409:"LUMINANCE",6410:"LUMINANCE_ALPHA",7680:"KEEP",7681:"REPLACE",7682:"INCR",7683:"DECR",7936:"VENDOR",7937:"RENDERER",7938:"VERSION",9728:"NEAREST",9729:"LINEAR",9984:"NEAREST_MIPMAP_NEAREST",9985:"LINEAR_MIPMAP_NEAREST",9986:"NEAREST_MIPMAP_LINEAR",9987:"LINEAR_MIPMAP_LINEAR",10240:"TEXTURE_MAG_FILTER",10241:"TEXTURE_MIN_FILTER",10242:"TEXTURE_WRAP_S",10243:"TEXTURE_WRAP_T",10497:"REPEAT",10752:"POLYGON_OFFSET_UNITS",16384:"COLOR_BUFFER_BIT",32769:"CONSTANT_COLOR",32770:"ONE_MINUS_CONSTANT_COLOR",32771:"CONSTANT_ALPHA",32772:"ONE_MINUS_CONSTANT_ALPHA",32773:"BLEND_COLOR",32774:"FUNC_ADD",32777:"BLEND_EQUATION_RGB",32778:"FUNC_SUBTRACT",32779:"FUNC_REVERSE_SUBTRACT",32819:"UNSIGNED_SHORT_4_4_4_4",32820:"UNSIGNED_SHORT_5_5_5_1",32823:"POLYGON_OFFSET_FILL",32824:"POLYGON_OFFSET_FACTOR",32854:"RGBA4",32855:"RGB5_A1",32873:"TEXTURE_BINDING_2D",32926:"SAMPLE_ALPHA_TO_COVERAGE",32928:"SAMPLE_COVERAGE",32936:"SAMPLE_BUFFERS",32937:"SAMPLES",32938:"SAMPLE_COVERAGE_VALUE",32939:"SAMPLE_COVERAGE_INVERT",32968:"BLEND_DST_RGB",32969:"BLEND_SRC_RGB",32970:"BLEND_DST_ALPHA",32971:"BLEND_SRC_ALPHA",33071:"CLAMP_TO_EDGE",33170:"GENERATE_MIPMAP_HINT",33189:"DEPTH_COMPONENT16",33306:"DEPTH_STENCIL_ATTACHMENT",33635:"UNSIGNED_SHORT_5_6_5",33648:"MIRRORED_REPEAT",33901:"ALIASED_POINT_SIZE_RANGE",33902:"ALIASED_LINE_WIDTH_RANGE",33984:"TEXTURE0",33985:"TEXTURE1",33986:"TEXTURE2",33987:"TEXTURE3",33988:"TEXTURE4",33989:"TEXTURE5",33990:"TEXTURE6",33991:"TEXTURE7",33992:"TEXTURE8",33993:"TEXTURE9",33994:"TEXTURE10",33995:"TEXTURE11",33996:"TEXTURE12",33997:"TEXTURE13",33998:"TEXTURE14",33999:"TEXTURE15",34000:"TEXTURE16",34001:"TEXTURE17",34002:"TEXTURE18",34003:"TEXTURE19",34004:"TEXTURE20",34005:"TEXTURE21",34006:"TEXTURE22",34007:"TEXTURE23",34008:"TEXTURE24",34009:"TEXTURE25",34010:"TEXTURE26",34011:"TEXTURE27",34012:"TEXTURE28",34013:"TEXTURE29",34014:"TEXTURE30",34015:"TEXTURE31",34016:"ACTIVE_TEXTURE",34024:"MAX_RENDERBUFFER_SIZE",34041:"DEPTH_STENCIL",34055:"INCR_WRAP",34056:"DECR_WRAP",34067:"TEXTURE_CUBE_MAP",34068:"TEXTURE_BINDING_CUBE_MAP",34069:"TEXTURE_CUBE_MAP_POSITIVE_X",34070:"TEXTURE_CUBE_MAP_NEGATIVE_X",34071:"TEXTURE_CUBE_MAP_POSITIVE_Y",34072:"TEXTURE_CUBE_MAP_NEGATIVE_Y",34073:"TEXTURE_CUBE_MAP_POSITIVE_Z",34074:"TEXTURE_CUBE_MAP_NEGATIVE_Z",34076:"MAX_CUBE_MAP_TEXTURE_SIZE",34338:"VERTEX_ATTRIB_ARRAY_ENABLED",34339:"VERTEX_ATTRIB_ARRAY_SIZE",34340:"VERTEX_ATTRIB_ARRAY_STRIDE",34341:"VERTEX_ATTRIB_ARRAY_TYPE",34342:"CURRENT_VERTEX_ATTRIB",34373:"VERTEX_ATTRIB_ARRAY_POINTER",34466:"NUM_COMPRESSED_TEXTURE_FORMATS",34467:"COMPRESSED_TEXTURE_FORMATS",34660:"BUFFER_SIZE",34661:"BUFFER_USAGE",34816:"STENCIL_BACK_FUNC",34817:"STENCIL_BACK_FAIL",34818:"STENCIL_BACK_PASS_DEPTH_FAIL",34819:"STENCIL_BACK_PASS_DEPTH_PASS",34877:"BLEND_EQUATION_ALPHA",34921:"MAX_VERTEX_ATTRIBS",34922:"VERTEX_ATTRIB_ARRAY_NORMALIZED",34930:"MAX_TEXTURE_IMAGE_UNITS",34962:"ARRAY_BUFFER",34963:"ELEMENT_ARRAY_BUFFER",34964:"ARRAY_BUFFER_BINDING",34965:"ELEMENT_ARRAY_BUFFER_BINDING",34975:"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING",35040:"STREAM_DRAW",35044:"STATIC_DRAW",35048:"DYNAMIC_DRAW",35632:"FRAGMENT_SHADER",35633:"VERTEX_SHADER",35660:"MAX_VERTEX_TEXTURE_IMAGE_UNITS",35661:"MAX_COMBINED_TEXTURE_IMAGE_UNITS",35663:"SHADER_TYPE",35664:"FLOAT_VEC2",35665:"FLOAT_VEC3",35666:"FLOAT_VEC4",35667:"INT_VEC2",35668:"INT_VEC3",35669:"INT_VEC4",35670:"BOOL",35671:"BOOL_VEC2",35672:"BOOL_VEC3",35673:"BOOL_VEC4",35674:"FLOAT_MAT2",35675:"FLOAT_MAT3",35676:"FLOAT_MAT4",35678:"SAMPLER_2D",35680:"SAMPLER_CUBE",35712:"DELETE_STATUS",35713:"COMPILE_STATUS",35714:"LINK_STATUS",35715:"VALIDATE_STATUS",35716:"INFO_LOG_LENGTH",35717:"ATTACHED_SHADERS",35718:"ACTIVE_UNIFORMS",35719:"ACTIVE_UNIFORM_MAX_LENGTH",35720:"SHADER_SOURCE_LENGTH",35721:"ACTIVE_ATTRIBUTES",35722:"ACTIVE_ATTRIBUTE_MAX_LENGTH",35724:"SHADING_LANGUAGE_VERSION",35725:"CURRENT_PROGRAM",36003:"STENCIL_BACK_REF",36004:"STENCIL_BACK_VALUE_MASK",36005:"STENCIL_BACK_WRITEMASK",36006:"FRAMEBUFFER_BINDING",36007:"RENDERBUFFER_BINDING",36048:"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE",36049:"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME",36050:"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL",36051:"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE",36053:"FRAMEBUFFER_COMPLETE",36054:"FRAMEBUFFER_INCOMPLETE_ATTACHMENT",36055:"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT",36057:"FRAMEBUFFER_INCOMPLETE_DIMENSIONS",36061:"FRAMEBUFFER_UNSUPPORTED",36064:"COLOR_ATTACHMENT0",36096:"DEPTH_ATTACHMENT",36128:"STENCIL_ATTACHMENT",36160:"FRAMEBUFFER",36161:"RENDERBUFFER",36162:"RENDERBUFFER_WIDTH",36163:"RENDERBUFFER_HEIGHT",36164:"RENDERBUFFER_INTERNAL_FORMAT",36168:"STENCIL_INDEX8",36176:"RENDERBUFFER_RED_SIZE",36177:"RENDERBUFFER_GREEN_SIZE",36178:"RENDERBUFFER_BLUE_SIZE",36179:"RENDERBUFFER_ALPHA_SIZE",36180:"RENDERBUFFER_DEPTH_SIZE",36181:"RENDERBUFFER_STENCIL_SIZE",36194:"RGB565",36336:"LOW_FLOAT",36337:"MEDIUM_FLOAT",36338:"HIGH_FLOAT",36339:"LOW_INT",36340:"MEDIUM_INT",36341:"HIGH_INT",36346:"SHADER_COMPILER",36347:"MAX_VERTEX_UNIFORM_VECTORS",36348:"MAX_VARYING_VECTORS",36349:"MAX_FRAGMENT_UNIFORM_VECTORS",37440:"UNPACK_FLIP_Y_WEBGL",37441:"UNPACK_PREMULTIPLY_ALPHA_WEBGL",37442:"CONTEXT_LOST_WEBGL",37443:"UNPACK_COLORSPACE_CONVERSION_WEBGL",37444:"BROWSER_DEFAULT_WEBGL"}},{}],246:[function(t,e,r){var n=t("./1.0/numbers");e.exports=function(t){return n[t]}},{"./1.0/numbers":245}],247:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e),o=i(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}]),l=a(e);l.attributes.position.location=0,l.attributes.color.location=1,l.attributes.offset.location=2;var c=new s(e,r,o,l);return c.update(t),c};var n=t("gl-buffer"),i=t("gl-vao"),a=t("./shaders/index"),o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(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,this.hasAlpha=!1}var l=s.prototype;function c(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])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,i=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],s=n[13],l=n[14],c=n[15],u=(t._ortho||!1?2:1)*this.pixelRatio*(i[3]*a+i[7]*s+i[11]*l+i[15]*c)/e.drawingBufferHeight;this.vao.bind();for(var h=0;h<3;++h)e.lineWidth(this.lineWidth[h]*this.pixelRatio),r.capSize=this.capSize[h]*u,this.lineCount[h]&&e.drawArrays(e.LINES,this.lineOffset[h],this.lineCount[h]);this.vao.unbind()};var u=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=[0,0,0];a[(n+e)%3]=i,r.push(a)}t[e]=r}return t}();function h(t,e,r,n){for(var i=u[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}l.update=function(t){"lineWidth"in(t=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])),this.hasAlpha=!1,"opacity"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));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 i=[],a=r.length,o=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var s=0;s<3;++s){this.lineOffset[s]=o;t:for(var l=0;l<a;++l){for(var u=r[l],f=0;f<3;++f)if(isNaN(u[f])||!isFinite(u[f]))continue t;var p=n[l],d=e[s];if(Array.isArray(d[0])&&(d=e[l]),3===d.length?d=[d[0],d[1],d[2],1]:4===d.length&&(d=[d[0],d[1],d[2],d[3]],!this.hasAlpha&&d[3]<1&&(this.hasAlpha=!0)),!isNaN(p[0][s])&&!isNaN(p[1][s])){var g;if(p[0][s]<0)(g=u.slice())[s]+=p[0][s],i.push(u[0],u[1],u[2],d[0],d[1],d[2],d[3],0,0,0,g[0],g[1],g[2],d[0],d[1],d[2],d[3],0,0,0),c(this.bounds,g),o+=2+h(i,g,d,s);if(p[1][s]>0)(g=u.slice())[s]+=p[1][s],i.push(u[0],u[1],u[2],d[0],d[1],d[2],d[3],0,0,0,g[0],g[1],g[2],d[0],d[1],d[2],d[3],0,0,0),c(this.bounds,g),o+=2+h(i,g,d,s)}}this.lineCount[s]=o-this.lineOffset[s]}this.buffer.update(i)}},l.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},{"./shaders/index":248,"gl-buffer":241,"gl-vao":327}],248:[function(t,e,r){"use strict";var n=t("glslify"),i=t("gl-shader"),a=n(["precision highp 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}"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float opacity;\nvarying vec3 fragPosition;\nvarying vec4 fragColor;\n\nvoid main() {\n if (\n outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\n fragColor.a * opacity == 0.\n ) discard;\n\n gl_FragColor = opacity * fragColor;\n}"]);e.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"offset",type:"vec3"}])}},{"gl-shader":301,glslify:409}],249:[function(t,e,r){"use strict";var n=t("gl-texture2d");e.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var c=t.getExtension("WEBGL_draw_buffers");!l&&c&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=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;l[n]=i}}(t,c);Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]);if("number"!=typeof e)throw new Error("gl-fbo: Missing shape parameter");var u=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>u||r<0||r>u)throw new Error("gl-fbo: Parameters are too large for FBO");var h=1;if("color"in(n=n||{})){if((h=Math.max(0|n.color,0))<0)throw new Error("gl-fbo: Must specify a nonnegative number of colors");if(h>1){if(!c)throw new Error("gl-fbo: Multiple draw buffer extension not supported");if(h>t.getParameter(c.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error("gl-fbo: Context does not support "+h+" draw buffers")}}var f=t.UNSIGNED_BYTE,p=t.getExtension("OES_texture_float");if(n.float&&h>0){if(!p)throw new Error("gl-fbo: Context does not support floating point textures");f=t.FLOAT}else n.preferFloat&&h>0&&p&&(f=t.FLOAT);var g=!0;"depth"in n&&(g=!!n.depth);var v=!1;"stencil"in n&&(v=!!n.stencil);return new d(t,e,r,f,h,g,v,c)};var i,a,o,s,l=null;function c(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function u(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function h(t){switch(t){case i:throw new Error("gl-fbo: Framebuffer unsupported");case a:throw new Error("gl-fbo: Framebuffer incomplete attachment");case o:throw new Error("gl-fbo: Framebuffer incomplete dimensions");case s:throw new Error("gl-fbo: Framebuffer incomplete missing attachment");default:throw new Error("gl-fbo: Framebuffer failed for unspecified reason")}}function f(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(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 d(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 d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var g=this,v=[0|e,0|r];Object.defineProperties(v,{0:{get:function(){return g._shape[0]},set:function(t){return g.width=t}},1:{get:function(){return g._shape[1]},set:function(t){return g.height=t}}}),this._shapeVector=v,function(t){var e=c(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,g=t._useDepth,v=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var m=0;m<o;++m)t.color[m]=f(r,i,a,v,r.RGBA,r.COLOR_ATTACHMENT0+m);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var y=r.getExtension("WEBGL_depth_texture");y?d?t.depth=f(r,i,a,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g&&(t.depth=f(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):g&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){for(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),m=0;m<t.color.length;++m)t.color[m].dispose(),t.color[m]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),u(r,e),h(x)}u(r,e)}(this)}var g=d.prototype;function v(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 n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error("gl-fbo: Can't resize FBO, invalid dimensions");t._shape[0]=e,t._shape[1]=r;for(var a=c(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),u(n,a),h(s)),u(n,a)}}Object.defineProperties(g,{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 v(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return v(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,v(this,this._shape[0],t),t},enumerable:!1}}),g.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])}},g.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":322}],250:[function(t,e,r){var n=t("sprintf-js").sprintf,i=t("gl-constants/lookup"),a=t("glsl-shader-name"),o=t("add-line-numbers");e.exports=function(t,e,r){"use strict";var s=a(e)||"of unknown name (see npm glsl-shader-name)",l="unknown type";void 0!==r&&(l=r===i.FRAGMENT_SHADER?"fragment":"vertex");for(var c=n("Error compiling %s shader %s:\n",l,s),u=n("%s%s",c,t),h=t.split("\n"),f={},p=0;p<h.length;p++){var d=h[p];if(""!==d&&"\0"!==d){var g=parseInt(d.split(":")[2]);if(isNaN(g))throw new Error(n("Could not parse error: %s",d));f[g]=d}}for(var v=o(e).split("\n"),p=0;p<v.length;p++)if(f[p+3]||f[p+2]||f[p+1]){var m=v[p];if(c+=m+"\n",f[p+1]){var y=f[p+1];y=y.substr(y.split(":",3).join(":").length+1).trim(),c+=n("^^^ %s\n\n",y)}}return{long:c.trim(),short:u.trim()}}},{"add-line-numbers":61,"gl-constants/lookup":246,"glsl-shader-name":401,"sprintf-js":528}],251:[function(t,e,r){"use strict";e.exports=function(t,e){var r=t.gl,n=o(r,l.vertex,l.fragment),i=o(r,l.pickVertex,l.pickFragment),a=s(r),u=s(r),h=s(r),f=s(r),p=new c(t,n,i,a,u,h,f);return p.update(e),t.addObject(p),p};var n=t("binary-search-bounds"),i=t("iota-array"),a=t("typedarray-pool"),o=t("gl-shader"),s=t("gl-buffer"),l=t("./lib/shaders");function c(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}var u,h=c.prototype,f=[0,0,1,0,0,1,1,0,1,1,0,1];h.draw=(u=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],c=a[3]-a[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-a[0])/l-1,u[7]=2*(r[1]-a[1])/c-1,e.bind();var h=e.uniforms;h.viewTransform=u,h.shape=this.shape;var f=e.attributes;this.positionBuffer.bind(),f.position.pointer(),this.weightBuffer.bind(),f.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),f.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),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,c=a[2]-a[0],u=a[3]-a[1],h=l[2]-l[0],f=l[3]-l[1];t[0]=2*c/h,t[4]=2*u/f,t[6]=2*(a[0]-l[0])/h-1,t[7]=2*(a[1]-l[1])/f-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var g=i.attributes;return this.positionBuffer.bind(),g.position.pointer(),this.weightBuffer.bind(),g.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),g.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){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]);this.xData=r,this.yData=o;var l=t.colorLevels||[0],c=t.colorValues||[0,0,0,1],u=l.length,h=this.bounds,p=h[0]=r[0],d=h[1]=o[0],g=1/((h[2]=r[r.length-1])-p),v=1/((h[3]=o[o.length-1])-d),m=e[0],y=e[1];this.shape=[m,y];var x=(m-1)*(y-1)*(f.length>>>1);this.numVertices=x;for(var b=a.mallocUint8(4*x),_=a.mallocFloat32(2*x),w=a.mallocUint8(2*x),k=a.mallocUint32(x),T=0,A=0;A<y-1;++A)for(var M=v*(o[A]-d),S=v*(o[A+1]-d),E=0;E<m-1;++E)for(var C=g*(r[E]-p),L=g*(r[E+1]-p),P=0;P<f.length;P+=2){var O,z,I,D,R=f[P],F=f[P+1],B=s[(A+F)*m+(E+R)],N=n.le(l,B);if(N<0)O=c[0],z=c[1],I=c[2],D=c[3];else if(N===u-1)O=c[4*u-4],z=c[4*u-3],I=c[4*u-2],D=c[4*u-1];else{var j=(B-l[N])/(l[N+1]-l[N]),U=1-j,V=4*N,q=4*(N+1);O=U*c[V]+j*c[q],z=U*c[V+1]+j*c[q+1],I=U*c[V+2]+j*c[q+2],D=U*c[V+3]+j*c[q+3]}b[4*T]=255*O,b[4*T+1]=255*z,b[4*T+2]=255*I,b[4*T+3]=255*D,_[2*T]=.5*C+.5*L,_[2*T+1]=.5*M+.5*S,w[2*T]=R,w[2*T+1]=F,k[T]=A*m+E,T+=1}this.positionBuffer.update(_),this.weightBuffer.update(w),this.colorBuffer.update(b),this.idBuffer.update(k),a.free(_),a.free(b),a.free(w),a.free(k)},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":252,"binary-search-bounds":253,"gl-buffer":241,"gl-shader":301,"iota-array":416,"typedarray-pool":545}],252:[function(t,e,r){"use strict";var n=t("glslify");e.exports={fragment:n(["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:n(["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:n(["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:n(["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"])}},{glslify:409}],253:[function(t,e,r){arguments[4][111][0].apply(r,arguments)},{dup:111}],254:[function(t,e,r){var n=t("glslify"),i=t("gl-shader"),a=n(["precision highp 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\nvec4 project(vec3 p) {\n return projection * view * model * vec4(p, 1.0);\n}\n\nvoid main() {\n vec4 startPoint = project(position);\n vec4 endPoint = project(nextPosition);\n\n vec2 A = startPoint.xy / startPoint.w;\n vec2 B = endPoint.xy / endPoint.w;\n\n float clipAngle = atan(\n (B.y - A.y) * screenShape.y,\n (B.x - A.x) * screenShape.x\n );\n\n vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\n sin(clipAngle),\n -cos(clipAngle)\n ) / screenShape;\n\n gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\n\n worldPosition = position;\n pixelArcLength = arcLength;\n fragColor = color;\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\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 (\n outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\n fragColor.a * opacity == 0.\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"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\n#define FLOAT_MAX 1.70141184e38\n#define FLOAT_MIN 1.17549435e-38\n\nlowp vec4 encode_float_1540259130(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\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform float pickId;\nuniform vec3 clipBounds[2];\n\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\nvarying vec4 fragColor;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\n\n gl_FragColor = vec4(pickId/255.0, encode_float_1540259130(pixelArcLength).xyz);\n}"]),l=[{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 i(t,a,o,null,l)},r.createPickShader=function(t){return i(t,a,s,null,l)}},{"gl-shader":301,glslify:409}],255:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=u(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 o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),c=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),f=l(new Array(1024),[256,1,4]),p=0;p<1024;++p)f.data[p]=255;var d=a(e,f);d.wrap=e.REPEAT;var g=new v(e,r,o,s,c,d);return g.update(t),g};var n=t("gl-buffer"),i=t("gl-vao"),a=t("gl-texture2d"),o=t("glsl-read-float"),s=t("binary-search-bounds"),l=t("ndarray"),c=t("./lib/shaders"),u=c.createShader,h=c.createPickShader,f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function p(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 d(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 g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function v(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.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var m=v.prototype;m.isTransparent=function(){return this.hasAlpha},m.isOpaque=function(){return!this.hasAlpha},m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.drawTransparent=m.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||f,view:t.view||f,projection:t.projection||f,clipBounds:d(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),n.unbind()}},m.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||f,view:t.view||f,projection:t.projection||f,pickId:this.pickId,clipBounds:d(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;"dashScale"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,"opacity"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],c=0,u=0,h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],f=t.position||t.positions;if(f){var d=t.color||t.colors||[0,0,0,1],g=t.lineWidth||1,v=!1;t:for(e=1;e<f.length;++e){var m,y,x,b=f[e-1],_=f[e];for(a.push(c),o.push(b.slice()),r=0;r<3;++r){if(isNaN(b[r])||isNaN(_[r])||!isFinite(b[r])||!isFinite(_[r])){if(!n&&i.length>0){for(var w=0;w<24;++w)i.push(i[i.length-12]);u+=2,v=!0}continue t}h[0][r]=Math.min(h[0][r],b[r],_[r]),h[1][r]=Math.max(h[1][r],b[r],_[r])}Array.isArray(d[0])?(m=d.length>e-1?d[e-1]:d.length>0?d[d.length-1]:[0,0,0,1],y=d.length>e?d[e]:d.length>0?d[d.length-1]:[0,0,0,1]):m=y=d,3===m.length&&(m=[m[0],m[1],m[2],1]),3===y.length&&(y=[y[0],y[1],y[2],1]),!this.hasAlpha&&m[3]<1&&(this.hasAlpha=!0),x=Array.isArray(g)?g.length>e-1?g[e-1]:g.length>0?g[g.length-1]:[0,0,0,1]:g;var k=c;if(c+=p(b,_),v){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],k,x,m[0],m[1],m[2],m[3]);u+=2,v=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],k,x,m[0],m[1],m[2],m[3],b[0],b[1],b[2],_[0],_[1],_[2],k,-x,m[0],m[1],m[2],m[3],_[0],_[1],_[2],b[0],b[1],b[2],c,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],c,x,y[0],y[1],y[2],y[3]),u+=4}}if(this.buffer.update(i),a.push(c),o.push(f[f.length-1].slice()),this.bounds=h,this.vertexCount=u,this.points=o,this.arcLength=a,"dashes"in t){var T=t.dashes.slice();for(T.unshift(0),e=1;e<T.length;++e)T[e]=T[e-1]+T[e];var A=l(new Array(1024),[256,1,4]);for(e=0;e<256;++e){for(r=0;r<4;++r)A.set(e,0,r,0);1&s.le(T,T[T.length-1]*e/255)?A.set(e,0,0,0):A.set(e,0,0,255)}this.texture.setPixels(A)}},m.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},m.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=o(t.value[0],t.value[1],t.value[2],0),r=s.le(this.arcLength,e);if(r<0)return null;if(r===this.arcLength.length-1)return new g(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],a=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),l=1-a,c=[0,0,0],u=0;u<3;++u)c[u]=l*n[u]+a*i[u];var h=Math.min(a<.5?r:r+1,this.points.length-1);return new g(e,c,h,this.points[h])}},{"./lib/shaders":254,"binary-search-bounds":256,"gl-buffer":241,"gl-texture2d":322,"gl-vao":327,"glsl-read-float":400,ndarray:450}],256:[function(t,e,r){arguments[4][111][0].apply(r,arguments)},{dup:111}],257:[function(t,e,r){e.exports=function(t,e){var 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}},{}],258:[function(t,e,r){e.exports=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],c=e[7],u=e[8],h=u*o-s*c,f=-u*a+s*l,p=c*a-o*l,d=r*h+n*f+i*p;return d?(d=1/d,t[0]=h*d,t[1]=(-u*n+i*c)*d,t[2]=(s*n-i*o)*d,t[3]=f*d,t[4]=(u*r-i*l)*d,t[5]=(-s*r+i*a)*d,t[6]=p*d,t[7]=(-c*r+n*l)*d,t[8]=(o*r-n*a)*d,t):null}},{}],259:[function(t,e,r){e.exports=function(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}},{}],260:[function(t,e,r){e.exports=function(){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}},{}],261:[function(t,e,r){e.exports=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],c=t[8],u=t[9],h=t[10],f=t[11],p=t[12],d=t[13],g=t[14],v=t[15];return(e*o-r*a)*(h*v-f*g)-(e*s-n*a)*(u*v-f*d)+(e*l-i*a)*(u*g-h*d)+(r*s-n*o)*(c*v-f*p)-(r*l-i*o)*(c*g-h*p)+(n*l-i*s)*(c*d-u*p)}},{}],262:[function(t,e,r){e.exports=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,c=r*o,u=n*o,h=n*s,f=i*o,p=i*s,d=i*l,g=a*o,v=a*s,m=a*l;return t[0]=1-h-d,t[1]=u+m,t[2]=f-v,t[3]=0,t[4]=u-m,t[5]=1-c-d,t[6]=p+g,t[7]=0,t[8]=f+v,t[9]=p-g,t[10]=1-c-h,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],263:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,c=a+a,u=n*s,h=n*l,f=n*c,p=i*l,d=i*c,g=a*c,v=o*s,m=o*l,y=o*c;return t[0]=1-(p+g),t[1]=h+y,t[2]=f-m,t[3]=0,t[4]=h-y,t[5]=1-(u+g),t[6]=d+v,t[7]=0,t[8]=f+m,t[9]=d-v,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],264:[function(t,e,r){e.exports=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}},{}],265:[function(t,e,r){e.exports=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],c=e[7],u=e[8],h=e[9],f=e[10],p=e[11],d=e[12],g=e[13],v=e[14],m=e[15],y=r*s-n*o,x=r*l-i*o,b=r*c-a*o,_=n*l-i*s,w=n*c-a*s,k=i*c-a*l,T=u*g-h*d,A=u*v-f*d,M=u*m-p*d,S=h*v-f*g,E=h*m-p*g,C=f*m-p*v,L=y*C-x*E+b*S+_*M-w*A+k*T;if(!L)return null;return L=1/L,t[0]=(s*C-l*E+c*S)*L,t[1]=(i*E-n*C-a*S)*L,t[2]=(g*k-v*w+m*_)*L,t[3]=(f*w-h*k-p*_)*L,t[4]=(l*M-o*C-c*A)*L,t[5]=(r*C-i*M+a*A)*L,t[6]=(v*b-d*k-m*x)*L,t[7]=(u*k-f*b+p*x)*L,t[8]=(o*E-s*M+c*T)*L,t[9]=(n*M-r*E-a*T)*L,t[10]=(d*w-g*b+m*y)*L,t[11]=(h*b-u*w-p*y)*L,t[12]=(s*A-o*S-l*T)*L,t[13]=(r*S-n*A+i*T)*L,t[14]=(g*x-d*_-v*y)*L,t[15]=(u*_-h*x+f*y)*L,t}},{}],266:[function(t,e,r){var n=t("./identity");e.exports=function(t,e,r,i){var a,o,s,l,c,u,h,f,p,d,g=e[0],v=e[1],m=e[2],y=i[0],x=i[1],b=i[2],_=r[0],w=r[1],k=r[2];if(Math.abs(g-_)<1e-6&&Math.abs(v-w)<1e-6&&Math.abs(m-k)<1e-6)return n(t);h=g-_,f=v-w,p=m-k,d=1/Math.sqrt(h*h+f*f+p*p),a=x*(p*=d)-b*(f*=d),o=b*(h*=d)-y*p,s=y*f-x*h,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0);l=f*s-p*o,c=p*a-h*s,u=h*o-f*a,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=a,t[1]=l,t[2]=h,t[3]=0,t[4]=o,t[5]=c,t[6]=f,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(a*g+o*v+s*m),t[13]=-(l*g+c*v+u*m),t[14]=-(h*g+f*v+p*m),t[15]=1,t}},{"./identity":264}],267:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],h=e[8],f=e[9],p=e[10],d=e[11],g=e[12],v=e[13],m=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*h+w*g,t[1]=x*i+b*l+_*f+w*v,t[2]=x*a+b*c+_*p+w*m,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*h+w*g,t[5]=x*i+b*l+_*f+w*v,t[6]=x*a+b*c+_*p+w*m,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*h+w*g,t[9]=x*i+b*l+_*f+w*v,t[10]=x*a+b*c+_*p+w*m,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*h+w*g,t[13]=x*i+b*l+_*f+w*v,t[14]=x*a+b*c+_*p+w*m,t[15]=x*o+b*u+_*d+w*y,t}},{}],268:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=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*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t}},{}],269:[function(t,e,r){e.exports=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}},{}],270:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c,u,h,f,p,d,g,v,m,y,x,b,_,w,k,T,A,M,S,E=n[0],C=n[1],L=n[2],P=Math.sqrt(E*E+C*C+L*L);if(Math.abs(P)<1e-6)return null;E*=P=1/P,C*=P,L*=P,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],c=e[2],u=e[3],h=e[4],f=e[5],p=e[6],d=e[7],g=e[8],v=e[9],m=e[10],y=e[11],x=E*E*o+a,b=C*E*o+L*i,_=L*E*o-C*i,w=E*C*o-L*i,k=C*C*o+a,T=L*C*o+E*i,A=E*L*o+C*i,M=C*L*o-E*i,S=L*L*o+a,t[0]=s*x+h*b+g*_,t[1]=l*x+f*b+v*_,t[2]=c*x+p*b+m*_,t[3]=u*x+d*b+y*_,t[4]=s*w+h*k+g*T,t[5]=l*w+f*k+v*T,t[6]=c*w+p*k+m*T,t[7]=u*w+d*k+y*T,t[8]=s*A+h*M+g*S,t[9]=l*A+f*M+v*S,t[10]=c*A+p*M+m*S,t[11]=u*A+d*M+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],271:[function(t,e,r){e.exports=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],c=e[8],u=e[9],h=e[10],f=e[11];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]);return t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+h*n,t[7]=l*i+f*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=h*i-s*n,t[11]=f*i-l*n,t}},{}],272:[function(t,e,r){e.exports=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],c=e[8],u=e[9],h=e[10],f=e[11];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]);return t[0]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-h*n,t[3]=l*i-f*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+h*i,t[11]=l*n+f*i,t}},{}],273:[function(t,e,r){e.exports=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],c=e[4],u=e[5],h=e[6],f=e[7];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]);return t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+h*n,t[3]=l*i+f*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=h*i-s*n,t[7]=f*i-l*n,t}},{}],274:[function(t,e,r){e.exports=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}},{}],275:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o,s,l,c,u,h,f,p,d,g=r[0],v=r[1],m=r[2];e===t?(t[12]=e[0]*g+e[4]*v+e[8]*m+e[12],t[13]=e[1]*g+e[5]*v+e[9]*m+e[13],t[14]=e[2]*g+e[6]*v+e[10]*m+e[14],t[15]=e[3]*g+e[7]*v+e[11]*m+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],h=e[8],f=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=h,t[9]=f,t[10]=p,t[11]=d,t[12]=n*g+s*v+h*m+e[12],t[13]=i*g+l*v+f*m+e[13],t[14]=a*g+c*v+p*m+e[14],t[15]=o*g+u*v+d*m+e[15]);return t}},{}],276:[function(t,e,r){e.exports=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}},{}],277:[function(t,e,r){"use strict";e.exports=function(t,e){switch(e.length){case 0:break;case 1:t[0]=1/e[0];break;case 4:n(t,e);break;case 9:i(t,e);break;case 16:a(t,e);break;default:throw new Error("currently supports matrices up to 4x4")}return t};var n=t("gl-mat2/invert"),i=t("gl-mat3/invert"),a=t("gl-mat4/invert")},{"gl-mat2/invert":257,"gl-mat3/invert":258,"gl-mat4/invert":265}],278:[function(t,e,r){"use strict";var n=t("barycentric"),i=t("polytope-closest-point/lib/closest_point_2d.js");function a(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var i=0;i<4;++i)r[i]+=t[4*n+i]*e[n];return r}function o(t,e,r,n,i){for(var o=a(n,a(r,a(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*i[0]*(1+o[0]),.5*i[1]*(1-o[1])]}e.exports=function(t,e,r,a,s,l){if(1===t.length)return[0,t[0].slice()];for(var c=new Array(t.length),u=0;u<t.length;++u)c[u]=o(t[u],r,a,s,l);for(var h=0,f=1/0,u=0;u<c.length;++u){for(var p=0,d=0;d<2;++d)p+=Math.pow(c[u][d]-e[d],2);p<f&&(f=p,h=u)}for(var g=function(t,e){if(2===t.length){for(var r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return r=Math.sqrt(r),a=Math.sqrt(a),r+a<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(c,e),v=0,u=0;u<3;++u){if(g[u]<-.001||g[u]>1.0001)return null;v+=g[u]}if(Math.abs(v-1)>.001)return null;return[h,function(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var i=t[n],a=e[n],o=0;o<3;++o)r[o]+=a*i[o];return r}(t,g),g]}},{barycentric:73,"polytope-closest-point/lib/closest_point_2d.js":481}],279:[function(t,e,r){var n=t("glslify"),i=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, normal;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model\n , view\n , projection\n , inverseModel;\nuniform vec3 eyePosition\n , lightPosition;\n\nvarying vec3 f_normal\n , f_lightDirection\n , f_eyeDirection\n , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvec4 project(vec3 p) {\n return projection * view * model * vec4(p, 1.0);\n}\n\nvoid main() {\n gl_Position = project(position);\n\n //Lighting geometry parameters\n vec4 cameraCoordinate = view * vec4(position , 1.0);\n cameraCoordinate.xyz /= cameraCoordinate.w;\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n f_color = color;\n f_data = position;\n f_uv = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(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\nfloat cookTorranceSpecular(\n vec3 lightDirection,\n vec3 viewDirection,\n vec3 surfaceNormal,\n float roughness,\n float fresnel) {\n\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n //Half angle vector\n vec3 H = normalize(lightDirection + viewDirection);\n\n //Geometric term\n float NdotH = max(dot(surfaceNormal, H), 0.0);\n float VdotH = max(dot(viewDirection, H), 0.000001);\n float LdotH = max(dot(lightDirection, H), 0.000001);\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\n float G = min(1.0, min(G1, G2));\n \n //Distribution term\n float D = beckmannDistribution(NdotH, roughness);\n\n //Fresnel term\n float F = pow(1.0 - VdotN, fresnel);\n\n //Multiply terms and done\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness\n , fresnel\n , kambient\n , kdiffuse\n , kspecular;\nuniform sampler2D texture;\n\nvarying vec3 f_normal\n , f_lightDirection\n , f_eyeDirection\n , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n if (f_color.a == 0.0 ||\n outOfRange(clipBounds[0], clipBounds[1], f_data)\n ) discard;\n\n vec3 N = normalize(f_normal);\n vec3 L = normalize(f_lightDirection);\n vec3 V = normalize(f_eyeDirection);\n\n if(gl_FrontFacing) {\n N = -N;\n }\n\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\n\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = litColor * f_color.a;\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model, view, projection;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n gl_Position = projection * view * model * vec4(position, 1.0);\n f_color = color;\n f_data = position;\n f_uv = uv;\n}"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\n\n gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\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 (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0.0, 0.0 ,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}"]),c=n(["precision highp 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}"]),u=n(["precision highp 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}"]),h=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n gl_FragColor = vec4(pickId, f_id.xyz);\n}"]),f=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\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 (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0.0, 0.0, 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}"]),p=n(["precision highp 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}"]),d=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec3 contourColor;\n\nvoid main() {\n gl_FragColor = vec4(contourColor, 1.0);\n}\n"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec3"},{name:"normal",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},r.wireShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},r.pointShader={vertex:l,fragment:c,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"pointSize",type:"float"}]},r.pickShader={vertex:u,fragment:h,attributes:[{name:"position",type:"vec3"},{name:"id",type:"vec4"}]},r.pointPickShader={vertex:f,fragment:h,attributes:[{name:"position",type:"vec3"},{name:"pointSize",type:"float"},{name:"id",type:"vec4"}]},r.contourShader={vertex:p,fragment:d,attributes:[{name:"position",type:"vec3"}]}},{glslify:409}],280:[function(t,e,r){"use strict";var n=t("gl-shader"),i=t("gl-buffer"),a=t("gl-vao"),o=t("gl-texture2d"),s=t("normals"),l=t("gl-mat4/multiply"),c=t("gl-mat4/invert"),u=t("ndarray"),h=t("colormap"),f=t("simplicial-complex-contour"),p=t("typedarray-pool"),d=t("./lib/shaders"),g=t("./lib/closest-point"),v=d.meshShader,m=d.wireShader,y=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function k(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,g,v,m,y,x,b,_,k,T,A,M,S){this.gl=t,this.pixelRatio=1,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=u,this.triangleNormals=f,this.triangleUVs=h,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=v,this.edgeUVs=m,this.edgeIds=g,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=k,this.pointSizes=T,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,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.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var T=k.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function S(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function E(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function C(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}T.isOpaque=function(){return!this.hasAlpha},T.isTransparent=function(){return this.hasAlpha},T.pickSlots=1,T.setPickBase=function(t){this.pickId=t},T.highlight=function(t){if(t&&this.contourEnable){for(var e=f(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var c=r[l],u=0;u<2;++u){var h=c[0];2===c.length&&(h=c[u]);for(var d=n[h][0],g=n[h][1],v=i[h],m=1-v,y=this.positions[d],x=this.positions[g],b=0;b<3;++b)o[s++]=v*y[b]+m*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},T.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),this.hasAlpha=!1,"opacity"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),"opacityscale"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),"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=o(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(function(t,e){for(var r=h({colormap:t,nshades:256,format:"rgba"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*A(i/255,e):255*a[3]}return u(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],c=[],f=[],p=[],d=[],g=[],v=[],m=[],y=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,k=t.cellNormals,T=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!k&&(k=s.faceNormals(r,n,M)),k||w||(w=s.vertexNormals(r,n,T));var S=t.vertexColors,E=t.cellColors,C=t.meshColor||[1,1,1,1],L=t.vertexUVs,P=t.vertexIntensity,O=t.cellUVs,z=t.cellIntensity,I=1/0,D=-1/0;if(!L&&!O)if(P)if(t.vertexIntensityBounds)I=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];I=Math.min(I,F),D=Math.max(D,F)}else if(z)for(R=0;R<z.length;++R){F=z[R];I=Math.min(I,F),D=Math.max(D,F)}else for(R=0;R<n.length;++R){F=n[R][2];I=Math.min(I,F),D=Math.max(D,F)}this.intensity=P||(z?function(t,e,r){for(var n=new Array(e),i=0;i<e;++i)n[i]=0;var a=t.length;for(i=0;i<a;++i)for(var o=t[i],s=0;s<o.length;++s)n[o[s]]=r[i];return n}(r,n.length,z):function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n));var B=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,q=0,H=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;m.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:C,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-I)/(D-I),this.opacityscale)):3===X.length?y.push(X[0],X[1],X[2],this.opacity):(y.push(X[0],X[1],X[2],X[3]*this.opacity),!this.hasAlpha&&X[3]<1&&(this.hasAlpha=!0)),Z=L?L[W]:P?[(P[W]-I)/(D-I),0]:O?O[R]:z?[(z[R]-I)/(D-I),0]:[(j[2]-I)/(D-I),0],x.push(Z[0],Z[1]),B?b.push(B[W]):b.push(N),_.push(R),H+=1;break;case 2:for(U=0;U<2;++U){j=n[W=G[U]];for(var Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t}for(U=0;U<2;++U){j=n[W=G[U]];p.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:C,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-I)/(D-I),this.opacityscale)):3===X.length?d.push(X[0],X[1],X[2],this.opacity):(d.push(X[0],X[1],X[2],X[3]*this.opacity),!this.hasAlpha&&X[3]<1&&(this.hasAlpha=!0)),Z=L?L[W]:P?[(P[W]-I)/(D-I),0]:O?O[R]:z?[(z[R]-I)/(D-I),0]:[(j[2]-I)/(D-I),0],g.push(Z[0],Z[1]),v.push(R)}q+=1;break;case 3:for(U=0;U<3;++U)for(j=n[W=G[U]],Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t;for(U=0;U<3;++U){var W,X,Z,J;j=n[W=G[2-U]];i.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:C,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-I)/(D-I),this.opacityscale)):3===X.length?a.push(X[0],X[1],X[2],this.opacity):(a.push(X[0],X[1],X[2],X[3]*this.opacity),!this.hasAlpha&&X[3]<1&&(this.hasAlpha=!0)),Z=L?L[W]:P?[(P[W]-I)/(D-I),0]:O?O[R]:z?[(z[R]-I)/(D-I),0]:[(j[2]-I)/(D-I),0],c.push(Z[0],Z[1]),J=w?w[W]:k[R],l.push(J[0],J[1],J[2]),f.push(R)}V+=1}}this.pointCount=H,this.edgeCount=q,this.triangleCount=V,this.pointPositions.update(m),this.pointColors.update(y),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(g),this.edgeIds.update(new Uint32Array(v)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(f))}},T.drawTransparent=T.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,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,inverseModel:w.slice(),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],contourColor:this.contourColor,texture:0};s.inverseModel=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);l(u,s.view,s.model),l(u,s.projection,u),c(u,u);for(o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var h,f=u[15];for(o=0;o<3;++o)f+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/f}this.triangleCount>0&&((h=this.triShader).bind(),h.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((h=this.lineShader).bind(),h.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind());this.pointCount>0&&((h=this.pointShader).bind(),h.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((h=this.contourShader).bind(),h.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},T.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,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,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};((s=this.pickShader).bind(),s.uniforms=l,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*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0)&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},T.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=g(i,[t.coord[0],this._resolution[1]-t.coord[1]],this._model,this._view,this._projection,this._resolution);if(!o)return null;var s=o[2],l=0;for(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]]]}},T.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=function(t,e){if(1===arguments.length&&(t=(e=t).gl),!(t.getExtension("OES_standard_derivatives")||t.getExtension("MOZ_OES_standard_derivatives")||t.getExtension("WEBKIT_OES_standard_derivatives")))throw new Error("derivatives not supported");var r=function(t){var e=n(t,v.vertex,v.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}(t),s=function(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}(t),l=M(t),c=S(t),h=E(t),f=C(t),p=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),g=i(t),y=i(t),x=i(t),b=i(t),_=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:b,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:y,type:t.FLOAT,size:2},{buffer:x,type:t.FLOAT,size:3}]),w=i(t),T=i(t),A=i(t),L=i(t),P=a(t,[{buffer:w,type:t.FLOAT,size:3},{buffer:L,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:T,type:t.FLOAT,size:4},{buffer:A,type:t.FLOAT,size:2}]),O=i(t),z=i(t),I=i(t),D=i(t),R=i(t),F=a(t,[{buffer:O,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:z,type:t.FLOAT,size:4},{buffer:I,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=i(t),N=new k(t,p,r,s,l,c,h,f,d,b,g,y,x,_,w,L,T,A,P,O,R,z,I,D,F,B,a(t,[{buffer:B,type:t.FLOAT,size:3}]));return N.update(e),N}},{"./lib/closest-point":278,"./lib/shaders":279,colormap:126,"gl-buffer":241,"gl-mat4/invert":265,"gl-mat4/multiply":267,"gl-shader":301,"gl-texture2d":322,"gl-vao":327,ndarray:450,normals:453,"simplicial-complex-contour":518,"typedarray-pool":545}],281:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e,[0,0,0,1,1,0,1,1]),s=i(e,a.boxVert,a.lineFrag);return new o(t,r,s)};var n=t("gl-buffer"),i=t("gl-shader"),a=t("./shaders");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,c=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{"./shaders":284,"gl-buffer":241,"gl-shader":301}],282:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,o.gridVert,o.gridFrag),l=i(e,o.tickVert,o.gridFrag);return new s(t,r,a,l)};var n=t("gl-buffer"),i=t("gl-shader"),a=t("binary-search-bounds"),o=t("./shaders");function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var c,u,h,f,p,d=s.prototype;d.draw=(c=[0,0],u=[0,0],h=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,f=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,g=0;g<2;++g){var v=a[g],m=a[g+2]-v,y=.5*(o[g+2]+o[g]),x=o[g+2]-o[g];u[g]=2*m/x,c[g]=2*(v-y)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=c,r.uniforms.dataScale=u;var b=0;for(g=0;g<2;++g){h[0]=h[1]=0,h[g]=1,r.uniforms.dataAxis=h,r.uniforms.lineWidth=l[g]/(s[g+2]-s[g])*d,r.uniforms.color=f[g];var _=6*n[g].length;p[g]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,h=this.ticks,f=s.gl,p=s._tickBounds,d=s.dataBox,g=s.viewBox,v=s.pixelRatio,m=s.screenBox,y=m[2]-m[0],x=m[3]-m[1],b=g[2]-g[0],_=g[3]-g[1],w=0;w<2;++w){var k=p[w],T=p[w+2]-k,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*T/M,t[w]=2*(k-A)/M}e[0]*=b/y,t[0]*=b/y,e[1]*=_/x,t[1]*=_/x,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var S=u.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,C=s.tickMarkWidth,L=s.tickMarkColor,P=6*h[0].length,O=Math.min(a.ge(h[0],(d[0]-p[0])/(p[2]-p[0]),l),h[0].length),z=Math.min(a.gt(h[0],(d[2]-p[0])/(p[2]-p[0]),l),h[0].length),I=0+6*O,D=6*Math.max(0,z-O),R=Math.min(a.ge(h[1],(d[1]-p[1])/(p[3]-p[1]),l),h[1].length),F=Math.min(a.gt(h[1],(d[3]-p[1])/(p[3]-p[1]),l),h[1].length),B=P+6*R,N=6*Math.max(0,F-R);i[0]=2*(g[0]-E[1])/y-1,i[1]=(g[3]+g[1])/x-1,o[0]=E[1]*v/y,o[1]=C[1]*v/x,N&&(S.color=L[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,f.drawArrays(f.TRIANGLES,B,N)),i[0]=(g[2]+g[0])/y-1,i[1]=2*(g[1]-E[0])/x-1,o[0]=C[0]*v/y,o[1]=E[0]*v/x,D&&(S.color=L[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,f.drawArrays(f.TRIANGLES,I,D)),i[0]=2*(g[2]+E[3])/y-1,i[1]=(g[3]+g[1])/x-1,o[0]=E[3]*v/y,o[1]=C[3]*v/x,N&&(S.color=L[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,f.drawArrays(f.TRIANGLES,B,N)),i[0]=(g[2]+g[0])/y-1,i[1]=2*(g[3]+E[2])/x-1,o[0]=C[2]*v/y,o[1]=E[2]*v/x,D&&(S.color=L[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,f.drawArrays(f.TRIANGLES,I,D))}}(),d.update=(f=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],c=r[o],u=r[o+2],h=0;h<l.length;++h){var d=(l[h].x-c)/(u-c);s.push(d);for(var g=0;g<6;++g)n[i++]=d,n[i++]=f[g],n[i++]=p[g]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{"./shaders":284,"binary-search-bounds":286,"gl-buffer":241,"gl-shader":301}],283:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e,[-1,-1,-1,1,1,-1,1,1]),s=i(e,a.lineVert,a.lineFrag);return new o(t,r,s)};var n=t("gl-buffer"),i=t("gl-shader"),a=t("./shaders");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,c=this.shader,u=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,c.uniforms.start=s,c.uniforms.end=l,c.uniforms.width=i*o.pixelRatio,c.uniforms.color=a,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{"./shaders":284,"gl-buffer":241,"gl-shader":301}],284:[function(t,e,r){"use strict";var n=t("glslify"),i=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:n(["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 * (coord.y+1.0));\n gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\n}\n"]),lineFrag:i,textVert:n(["#define GLSLIFY 1\nattribute vec3 textCoordinate;\n\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\nuniform float angle;\n\nvoid main() {\n float dataOffset = textCoordinate.z;\n vec2 glyphOffset = textCoordinate.xy;\n mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\n vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\n glyphMatrix * glyphOffset * textScale + screenOffset;\n gl_Position = vec4(screenCoordinate, 0, 1);\n}\n"]),textFrag:i,gridVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 dataCoord;\n\nuniform vec2 dataAxis, dataShift, dataScale;\nuniform float lineWidth;\n\nvoid main() {\n vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\n pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\n gl_Position = vec4(pos, 0, 1);\n}\n"]),gridFrag:i,boxVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 coord;\n\nuniform vec4 screenBox;\nuniform vec2 lo, hi;\n\nvec2 screen(vec2 v) {\n return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\n}\n\nvoid main() {\n gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\n}\n"]),tickVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 dataCoord;\n\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\n\nvoid main() {\n vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\n gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\n}\n"])}},{glslify:409}],285:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,s.textVert,s.textFrag);return new l(t,r,a)};var n=t("gl-buffer"),i=t("gl-shader"),a=t("text-cache"),o=t("binary-search-bounds"),s=t("./shaders");function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var c,u,h,f,p,d,g=l.prototype;g.drawTicks=(c=[0,0],u=[0,0],h=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,f=e.screenBox,p=e.pixelRatio,d=e.tickEnable,g=e.tickPad,v=e.tickColor,m=e.tickAngle,y=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],k=this.labelCount[t],T=o.lt(n,l[t]),A=o.le(n,l[t+2]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(f[2+t]-f[t])-1;var M=2/f[2+(1^t)]-f[1^t];u[1^t]=M*s[1^t]-1,d[t]&&(u[1^t]-=M*p*g[t],T<A&&i[A]>i[T]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=v[t],r.uniforms.angle=m[t],a.drawArrays(a.TRIANGLES,i[T],i[A]-i[T]))),y[t]&&k&&(u[1^t]-=M*p*x[t],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,k)),u[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=M*p*g[t+2],T<A&&i[A]>i[T]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=v[t+2],r.uniforms.angle=m[t+2],a.drawArrays(a.TRIANGLES,i[T],i[A]-i[T]))),y[t+2]&&k&&(u[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,k))}),g.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,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-a[u])/(a[2+u]-a[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),g.bind=(f=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],h=a[o],g=a[o+2]-h,v=i[o],m=i[o+2]-v;p[o]=2*l/u*g/m,f[o]=2*(s-c)/u*g/m}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=f,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),g.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],h=[-1/0],f=l[o];for(e=0;e<f.length;++e){var p=f[e],d=p.x,g=p.text,v=p.font||"sans-serif";i=p.fontSize||12;for(var m=1/(c[o+2]-c[o]),y=c[o],x=g.split("\n"),b=0;b<x.length;b++)for(n=a(v,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-b*i*1.2,(d-y)*m);u.push(Math.floor(s.length/3)),h.push(d)}this.tickOffset[o]=u,this.tickX[o]=h}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{textAlign:"center"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},g.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{"./shaders":284,"binary-search-bounds":286,"gl-buffer":241,"gl-shader":301,"text-cache":536}],286:[function(t,e,r){arguments[4][111][0].apply(r,arguments)},{dup:111}],287:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e,[e.drawingBufferWidth,e.drawingBufferHeight]),c=new l(e,r);return c.grid=i(c),c.text=a(c),c.line=o(c),c.box=s(c),c.update(t),c};var n=t("gl-select-static"),i=t("./lib/grid"),a=t("./lib/text"),o=t("./lib/line"),s=t("./lib/box");function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=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.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var c=l.prototype;function u(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function h(t,e){return t.x-e.x}c.setDirty=function(){this.dirty=this.pickDirty=!0},c.setOverlayDirty=function(){this.dirty=!0},c.nextDepthValue=function(){return this._depthCounter++/65536},c.draw=function(){var 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){if(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),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var c=this.borderColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[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 u=this.backgroundColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var h=this.zeroLineEnable,f=this.zeroLineColor,p=this.zeroLineWidth;if(h[0]||h[1]){o.bind();for(var d=0;d<2;++d)if(h[d]&&n[d]<=0&&n[d+2]>=0){var g=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(g,e[1],g,e[3],p[d],f[d]):o.drawLine(e[0],g,e[2],g,p[d],f[d])}}for(d=0;d<l.length;++d)l[d].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 v=this.borderLineEnable,m=this.borderLineWidth,y=this.borderLineColor;for(v[1]&&o.drawLine(r[0],r[1]-.5*m[1]*i,r[0],r[3]+.5*m[3]*i,m[1],y[1]),v[0]&&o.drawLine(r[0]-.5*m[0]*i,r[1],r[2]+.5*m[2]*i,r[1],m[0],y[0]),v[3]&&o.drawLine(r[2],r[1]-.5*m[1]*i,r[2],r[3]+.5*m[3]*i,m[3],y[3]),v[2]&&o.drawLine(r[0]-.5*m[0]*i,r[3],r[2]+.5*m[2]*i,r[3],m[2],y[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},c.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl;this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},c.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var h=c[u].pick(a,o,l);if(h)return h}return null}},c.setScreenBox=function(t){var 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()},c.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())},c.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()},c.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,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.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=u(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=u(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=u(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=u(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=u(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=u(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(h),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,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()},c.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(t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.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}},c.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},c.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":281,"./lib/grid":282,"./lib/line":283,"./lib/text":285,"gl-select-static":300}],288:[function(t,e,r){"use strict";e.exports=function(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 c=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||"orbit",distanceLimits:r}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],h=0,f=t.clientWidth,p=t.clientHeight,d={keyBindingMode:"rotate",enableWheel:!0,view:c,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:c.modes,_ortho:e._ortho||e.projection&&"orthographic"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;c.idle(e-r),c.recalcMatrix(i),c.flush(e-(100+2*r));for(var a=!0,o=c.computedMatrix,s=0;s<16;++s)a=a&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===f&&t.clientHeight===p;return f=t.clientWidth,p=t.clientHeight,a?!l:(h=Math.exp(c.computedRadius[0]),!0)},lookAt:function(t,e,r){c.lookAt(c.lastT(),t,e,r)},rotate:function(t,e,r){c.rotate(c.lastT(),t,e,r)},pan:function(t,e,r){c.pan(c.lastT(),t,e,r)},translate:function(t,e,r){c.translate(c.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return c.computedMatrix},set:function(t){return c.setMatrix(c.lastT(),t),c.computedMatrix},enumerable:!0},mode:{get:function(){return c.getMode()},set:function(t){var e=c.computedUp.slice(),r=c.computedEye.slice(),i=c.computedCenter.slice();if(c.setMode(t),"turntable"===t){var a=n();c._active.lookAt(a,r,i,e),c._active.lookAt(a+500,r,i,[0,0,1]),c._active.flush(a)}return c.getMode()},enumerable:!0},center:{get:function(){return c.computedCenter},set:function(t){return c.lookAt(c.lastT(),null,t),c.computedCenter},enumerable:!0},eye:{get:function(){return c.computedEye},set:function(t){return c.lookAt(c.lastT(),t),c.computedEye},enumerable:!0},up:{get:function(){return c.computedUp},set:function(t){return c.lookAt(c.lastT(),null,null,t),c.computedUp},enumerable:!0},distance:{get:function(){return h},set:function(t){return c.setDistance(c.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return c.getDistanceLimits(r)},set:function(t){return c.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener("contextmenu",function(t){return t.preventDefault(),!1}),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s="rotate"===o,l="pan"===o,u="zoom"===o,f=!!a.control,p=!!a.alt,g=!!a.shift,v=!!(1&e),m=!!(2&e),y=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,k=d.flipY?1:-1,T=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&v&&!f&&!p&&!g||v&&!f&&!p&&g)&&c.rotate(A,w*T*b,-k*T*_,0),(l&&v&&!f&&!p&&!g||m||v&&f&&!p&&!g)&&c.pan(A,-d.translateSpeed*b*h,d.translateSpeed*_*h,0),u&&v&&!f&&!p&&!g||y||v&&!f&&p&&!g)){var M=-d.zoomSpeed*_/window.innerHeight*(A-c.lastT())*100;c.pan(A,0,0,h*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener("touchstart",function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods),r.preventDefault()},!!l&&{passive:!1}),t.addEventListener("touchmove",function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()},!!l&&{passive:!1}),t.addEventListener("touchend",function(t){e(0,d._lastX,d._lastY,d._lastMods),t.preventDefault()},!!l&&{passive:!1}),d.wheelListener=o(t,function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))c.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-c.lastT())/20;c.pan(a,0,0,h*(Math.exp(o)-1))}}},!0)},d.enableMouseListeners(),d};var n=t("right-now"),i=t("3d-view"),a=t("mouse-change"),o=t("mouse-wheel"),s=t("mouse-event-offset"),l=t("has-passive-events")},{"3d-view":52,"has-passive-events":411,"mouse-change":435,"mouse-event-offset":436,"mouse-wheel":438,"right-now":504}],289:[function(t,e,r){var n=t("glslify"),i=t("gl-shader"),a=n(["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}"]),o=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}"]);e.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec2"}])}},{"gl-shader":301,glslify:409}],290:[function(t,e,r){"use strict";var n=t("./camera.js"),i=t("gl-axes3d"),a=t("gl-axes3d/properties"),o=t("gl-spikes3d"),s=t("gl-select-static"),l=t("gl-fbo"),c=t("a-big-triangle"),u=t("mouse-change"),h=t("mouse-wheel"),f=t("gl-mat4/perspective"),p=t("gl-mat4/ortho"),d=t("./lib/shader"),g=t("is-mobile")({tablet:!0});function v(){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 m(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){r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function y(t){return"boolean"!=typeof t||t}e.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;if(!e)if(e=document.createElement("canvas"),t.container){var r=t.container;r.appendChild(e)}else document.body.appendChild(e);var x=t.gl;x||(x=function(t,e){var r=null;try{(r=t.getContext("webgl",e))||(r=t.getContext("experimental-webgl",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:g}));if(!x)throw new Error("webgl not supported");var b=t.bounds||[[-10,-10,-10],[10,10,10]],_=new v,w=l(x,[x.drawingBufferWidth,x.drawingBufferHeight],{preferFloat:!g}),k=d(x),T=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&"orthographic"===t.camera.projection.type||!1,A={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||"turntable",_ortho:T},M=t.axes||{},S=i(x,M);S.enable=!M.disable;var E=t.spikes||{},C=o(x,E),L=[],P=[],O=[],z=[],I=!0,D=!0,R=new Array(16),F=new Array(16),B={view:null,projection:R,model:F,_ortho:!1},D=!0,N=[x.drawingBufferWidth,x.drawingBufferHeight],j=t.cameraObject||n(e,A),U={gl:x,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:_,camera:j,axes:S,axesPixels:null,spikes:C,bounds:b,objects:L,shape:N,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:y(t.autoResize),autoBounds:y(t.autoBounds),autoScale:!!t.autoScale,autoCenter:y(t.autoCenter),clipToBounds:y(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:B,oncontextloss:null,mouseListener:null,_stopped:!1},V=[x.drawingBufferWidth/U.pixelRatio|0,x.drawingBufferHeight/U.pixelRatio|0];function q(){if(!U._stopped&&U.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*U.pixelRatio),a=0|Math.ceil(n*U.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||"absolute",o.left="0px",o.top="0px",o.width=r+"px",o.height=n+"px",I=!0}}}U.autoResize&&q();function H(){for(var t=L.length,e=z.length,r=0;r<e;++r)O[r]=0;t:for(var r=0;r<t;++r){var n=L[r],i=n.pickSlots;if(i){for(var a=0;a<e;++a)if(O[a]+i<255){P[r]=a,n.setPickBase(O[a]+1),O[a]+=i;continue t}var o=s(x,N);P[r]=e,z.push(o),O.push(i),n.setPickBase(1),e+=1}else P[r]=-1}for(;e>0&&0===O[e-1];)O.pop(),z.pop().dispose()}function G(){if(U.contextLost)return!0;x.isContextLost()&&(U.contextLost=!0,U.mouseListener.enabled=!1,U.selection.object=null,U.oncontextloss&&U.oncontextloss())}window.addEventListener("resize",q),U.update=function(t){U._stopped||(t=t||{},I=!0,D=!0)},U.add=function(t){U._stopped||(t.axes=S,L.push(t),P.push(-1),I=!0,D=!0,H())},U.remove=function(t){if(!U._stopped){var e=L.indexOf(t);e<0||(L.splice(e,1),P.pop(),I=!0,D=!0,H())}},U.dispose=function(){if(!U._stopped&&(U._stopped=!0,window.removeEventListener("resize",q),e.removeEventListener("webglcontextlost",G),U.mouseListener.enabled=!1,!U.contextLost)){S.dispose(),C.dispose();for(var t=0;t<L.length;++t)L[t].dispose();w.dispose();for(var t=0;t<z.length;++t)z[t].dispose();k.dispose(),x=null,S=null,C=null,L=[]}},U.wheelListener=h(e,function(t,e){if(!1!==j.keyBindingMode&&j.enableWheel&&j._ortho){var r=t>e?1.1:1/1.1;U.aspect[0]*=r,U.aspect[1]*=r,U.aspect[2]*=r,U.redraw()}},!0),U._mouseRotating=!1,U._prevButtons=0,U.enableMouseListeners=function(){U.mouseListener=u(e,function(t,e,r){if(!U._stopped){var n=z.length,i=L.length,a=_.object;_.distance=1/0,_.mouse[0]=e,_.mouse[1]=r,_.object=null,_.screen=null,_.dataCoordinate=_.dataPosition=null;var o=!1;if(t&&U._prevButtons)U._mouseRotating=!0;else{U._mouseRotating&&(D=!0),U._mouseRotating=!1;for(var s=0;s<n;++s){var l=z[s].query(e,V[1]-r-1,U.pickRadius);if(l){if(l.distance>_.distance)continue;for(var c=0;c<i;++c){var u=L[c];if(P[c]===s){var h=u.pick(l);h&&(_.buttons=t,_.screen=l.coord,_.distance=l.distance,_.object=u,_.index=h.distance,_.dataPosition=h.position,_.dataCoordinate=h.dataCoordinate,_.data=h,o=!0)}}}}}a&&a!==_.object&&(a.highlight&&a.highlight(null),I=!0),_.object&&(_.object.highlight&&_.object.highlight(_.data),I=!0),(o=o||_.object!==a)&&U.onselect&&U.onselect(_),1&t&&!(1&U._prevButtons)&&U.onclick&&U.onclick(_),U._prevButtons=t}})},e.addEventListener("webglcontextlost",G);var Y=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],W=[Y[0].slice(),Y[1].slice()];function X(){if(!G()){q();var t=U.camera.tick();B.view=U.camera.matrix,I=I||t,D=D||t,S.pixelRatio=U.pixelRatio,C.pixelRatio=U.pixelRatio;var e=L.length,r=Y[0],n=Y[1];r[0]=r[1]=r[2]=1/0,n[0]=n[1]=n[2]=-1/0;for(var i=0;i<e;++i){var o=L[i];o.pixelRatio=U.pixelRatio,o.axes=U.axes,I=I||!!o.dirty,D=D||!!o.dirty;var s=o.bounds;if(s)for(var l=s[0],u=s[1],h=0;h<3;++h)r[h]=Math.min(r[h],l[h]),n[h]=Math.max(n[h],u[h])}var d=U.bounds;if(U.autoBounds)for(var h=0;h<3;++h){if(n[h]<r[h])r[h]=-1,n[h]=1;else{r[h]===n[h]&&(r[h]-=1,n[h]+=1);var g=.05*(n[h]-r[h]);r[h]=r[h]-g,n[h]=n[h]+g}d[0][h]=r[h],d[1][h]=n[h]}for(var v=!1,h=0;h<3;++h)v=v||W[0][h]!==d[0][h]||W[1][h]!==d[1][h],W[0][h]=d[0][h],W[1][h]=d[1][h];if(D=D||v,I=I||v){if(v){for(var y=[0,0,0],i=0;i<3;++i)y[i]=m((d[1][i]-d[0][i])/10);S.autoTicks?S.update({bounds:d,tickSpacing:y}):S.update({bounds:d})}var b=x.drawingBufferWidth,A=x.drawingBufferHeight;N[0]=b,N[1]=A,V[0]=0|Math.max(b/U.pixelRatio,1),V[1]=0|Math.max(A/U.pixelRatio,1),T?(p(R,-b/A,b/A,-1,1,U.zNear,U.zFar),B._ortho=!0):(f(R,U.fovy,b/A,U.zNear,U.zFar),B._ortho=!1);for(var i=0;i<16;++i)F[i]=0;F[15]=1;for(var M=0,i=0;i<3;++i)M=Math.max(M,d[1][i]-d[0][i]);for(var i=0;i<3;++i)U.autoScale?F[5*i]=U.aspect[i]/(d[1][i]-d[0][i]):F[5*i]=1/M,U.autoCenter&&(F[12+i]=.5*-F[5*i]*(d[0][i]+d[1][i]));for(var i=0;i<e;++i){var o=L[i];o.axesBounds=d,U.clipToBounds&&(o.clipBounds=d)}_.object&&(U.snapToData?C.position=_.dataCoordinate:C.position=_.dataPosition,C.bounds=d),D&&(D=!1,function(){if(G())return;x.colorMask(!0,!0,!0,!0),x.depthMask(!0),x.disable(x.BLEND),x.enable(x.DEPTH_TEST),x.depthFunc(x.LEQUAL);for(var t=L.length,e=z.length,r=0;r<e;++r){var n=z[r];n.shape=V,n.begin();for(var i=0;i<t;++i)if(P[i]===r){var a=L[i];a.drawPick&&(a.pixelRatio=1,a.drawPick(B))}n.end()}}()),U.axesPixels=a(U.axes,B,b,A),U.onrender&&U.onrender(),x.bindFramebuffer(x.FRAMEBUFFER,null),x.viewport(0,0,b,A);var E=U.clearColor;x.clearColor(E[0],E[1],E[2],E[3]),x.clear(x.COLOR_BUFFER_BIT|x.DEPTH_BUFFER_BIT),x.depthMask(!0),x.colorMask(!0,!0,!0,!0),x.enable(x.DEPTH_TEST),x.depthFunc(x.LEQUAL),x.disable(x.BLEND),x.disable(x.CULL_FACE);var O=!1;S.enable&&(O=O||S.isTransparent(),S.draw(B)),C.axes=S,_.object&&C.draw(B),x.disable(x.CULL_FACE);for(var i=0;i<e;++i){var o=L[i];o.axes=S,o.pixelRatio=U.pixelRatio,o.isOpaque&&o.isOpaque()&&o.draw(B),o.isTransparent&&o.isTransparent()&&(O=!0)}if(O){w.shape=N,w.bind(),x.clear(x.DEPTH_BUFFER_BIT),x.colorMask(!1,!1,!1,!1),x.depthMask(!0),x.depthFunc(x.LESS),S.enable&&S.isTransparent()&&S.drawTransparent(B);for(var i=0;i<e;++i){var o=L[i];o.isOpaque&&o.isOpaque()&&o.draw(B)}x.enable(x.BLEND),x.blendEquation(x.FUNC_ADD),x.blendFunc(x.ONE,x.ONE_MINUS_SRC_ALPHA),x.colorMask(!0,!0,!0,!0),x.depthMask(!1),x.clearColor(0,0,0,0),x.clear(x.COLOR_BUFFER_BIT),S.isTransparent()&&S.drawTransparent(B);for(var i=0;i<e;++i){var o=L[i];o.isTransparent&&o.isTransparent()&&o.drawTransparent(B)}x.bindFramebuffer(x.FRAMEBUFFER,null),x.blendFunc(x.ONE,x.ONE_MINUS_SRC_ALPHA),x.disable(x.DEPTH_TEST),k.bind(),w.color[0].bind(0),k.uniforms.accumBuffer=0,c(x),x.disable(x.BLEND)}I=!1;for(var i=0;i<e;++i)L[i].dirty=!1}}}return U.enableMouseListeners(),function t(){U._stopped||U.contextLost||(X(),requestAnimationFrame(t))}(),U.redraw=function(){U._stopped||(I=!0,X())},U},createCamera:n}},{"./camera.js":288,"./lib/shader":289,"a-big-triangle":59,"gl-axes3d":233,"gl-axes3d/properties":240,"gl-fbo":249,"gl-mat4/ortho":268,"gl-mat4/perspective":269,"gl-select-static":300,"gl-spikes3d":310,"is-mobile":420,"mouse-change":435,"mouse-wheel":438}],291:[function(t,e,r){var n=t("glslify");r.pointVertex=n(["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=n(["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=n(["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=n(["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"])},{glslify:409}],292:[function(t,e,r){"use strict";var n=t("gl-shader"),i=t("gl-buffer"),a=t("typedarray-pool"),o=t("./lib/shader");function s(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}e.exports=function(t,e){var r=t.gl,a=i(r),l=i(r),c=n(r,o.pointVertex,o.pointFragment),u=n(r,o.pickVertex,o.pickFragment),h=new s(t,a,l,c,u);return h.update(e),t.addObject(h),h};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r("sizeMin",.5),this.sizeMax=r("sizeMax",20),this.color=r("color",[1,0,0,1]).slice(),this.areaRatio=r("areaRatio",1),this.borderColor=r("borderColor",[0,0,0,1]).slice(),this.blend=r("blend",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),c=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)c[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),i||a.free(l),o||a.free(c),this.pointCount=n,this.pickOffset=0},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(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}(this.points,i),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var h=n.getParameter(n.BLEND),f=n.getParameter(n.DITHER);return h&&!this.blend&&n.disable(n.BLEND),f&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),h&&!this.blend&&n.enable(n.BLEND),f&&n.enable(n.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.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":291,"gl-buffer":241,"gl-shader":301,"typedarray-pool":545}],293:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c=e[0],u=e[1],h=e[2],f=e[3],p=r[0],d=r[1],g=r[2],v=r[3];(a=c*p+u*d+h*g+f*v)<0&&(a=-a,p=-p,d=-d,g=-g,v=-v);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);return t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*h+l*g,t[3]=s*f+l*v,t}},{}],294:[function(t,e,r){"use strict";e.exports=function(t){return t||0===t?t.toString():""}},{}],295:[function(t,e,r){"use strict";var n=t("vectorize-text");e.exports=function(t,e,r){var a=i[e];a||(a=i[e]={});if(t in a)return a[t];var o={textAlign:"center",textBaseline:"middle",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,c,u=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(c=0;c<s.positions[l].length;++c)s.positions[l][c]/=r;for(l=0;l<u.positions.length;++l)for(c=0;c<u.positions[l].length;++c)u.positions[l][c]/=r}var h=[[1/0,1/0],[-1/0,-1/0]],f=u.positions.length;for(l=0;l<f;++l){var p=u.positions[l];for(c=0;c<2;++c)h[0][c]=Math.min(h[0][c],p[c]),h[1][c]=Math.max(h[1][c],p[c])}return a[t]=[s,u,h]};var i={}},{"vectorize-text":550}],296:[function(t,e,r){var n=t("gl-shader"),i=t("glslify"),a=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\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 (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\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=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\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 (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\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=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\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 (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\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=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float opacity;\n\nvarying vec4 interpColor;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (\n outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\n interpColor.a * opacity == 0.\n ) discard;\n gl_FragColor = interpColor * opacity;\n}\n"]),c=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float pickGroup;\n\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\n\n gl_FragColor = vec4(pickGroup, pickId.bgr);\n}"]),u=[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"glyph",type:"vec2"},{name:"id",type:"vec4"}],h={vertex:a,fragment:l,attributes:u},f={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:a,fragment:c,attributes:u},g={vertex:o,fragment:c,attributes:u},v={vertex:s,fragment:c,attributes:u};function m(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}r.createPerspective=function(t){return m(t,h)},r.createOrtho=function(t){return m(t,f)},r.createProject=function(t){return m(t,p)},r.createPickPerspective=function(t){return m(t,d)},r.createPickOrtho=function(t){return m(t,g)},r.createPickProject=function(t){return m(t,v)}},{"gl-shader":301,glslify:409}],297:[function(t,e,r){"use strict";var n=t("is-string-blank"),i=t("gl-buffer"),a=t("gl-vao"),o=t("typedarray-pool"),s=t("gl-mat4/multiply"),l=t("./lib/shaders"),c=t("./lib/glyphs"),u=t("./lib/get-simple-string"),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(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 p(t,e,r,n){return f(n,n),f(n,n),f(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function g(t){return!0===t?1:t>1?1:t}function v(t,e,r,n,i,a,o,s,l,c,u,h){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=u,this.pickProjectShader=h,this.points=[],this._selectResult=new d(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}e.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),c=l.createPickOrtho(e),u=l.createPickProject(e),h=i(e),f=i(e),p=i(e),d=i(e),g=a(e,[{buffer:h,size:3,type:e.FLOAT},{buffer:f,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),m=new v(e,r,n,o,h,f,p,d,g,s,c,u);return m.update(t),m};var m=v.prototype;m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},m.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var y=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],k=h.slice(),T=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function C(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||h,u=r.view||h,f=r.projection||h,d=e.axesBounds,g=function(t){for(var e=A,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}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],y[0]=2/o.drawingBufferWidth,y[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=f,l.screenSize=y,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=g,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var v=0;v<3;++v)if(a[v]){l.scale=e.projectScale[v],l.opacity=e.projectOpacity[v];for(var m=k,C=0;C<16;++C)m[C]=0;for(C=0;C<4;++C)m[5*C]=1;m[5*v]=0,i[v]<0?m[12+v]=d[0][v]:m[12+v]=d[1][v],s(m,c,m),l.model=m;var L=(v+1)%3,P=(v+2)%3,O=M(x),z=M(b);O[L]=1,z[P]=1;var I=p(0,0,0,S(_,O)),D=p(0,0,0,S(w,z));if(Math.abs(I[1])>Math.abs(D[1])){var R=I;I=D,D=R,R=O,O=z,z=R;var F=L;L=P,P=F}I[0]<0&&(O[L]=-1),D[1]>0&&(z[P]=-1);var B=0,N=0;for(C=0;C<4;++C)B+=Math.pow(c[4*L+C],2),N+=Math.pow(c[4*P+C],2);O[L]/=Math.sqrt(B),z[P]/=Math.sqrt(N),l.axes[0]=O,l.axes[1]=z,l.fragClipBounds[0]=E(T,g[0],v,-1e8),l.fragClipBounds[1]=E(T,g[1],v,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function P(t,e,r,n,i,a,o){var s=r.gl;if((a===r.projectHasAlpha||o)&&C(e,r,n,i),a===r.hasAlpha||o){t.bind();var l=t.uniforms;l.model=n.model||h,l.view=n.view||h,l.projection=n.projection||h,y[0]=2/s.drawingBufferWidth,y[1]=2/s.drawingBufferHeight,l.screenSize=y,l.highlightId=r.highlightId,l.highlightScale=r.highlightScale,l.fragClipBounds=L,l.clipBounds=r.axes.bounds,l.opacity=r.opacity,l.pickGroup=r.pickId/255,l.pixelRatio=i,r.vao.bind(),r.vao.draw(s.TRIANGLES,r.vertexCount),r.lineWidth>0&&(s.lineWidth(r.lineWidth*i),r.vao.draw(s.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function O(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=u(a);var o=!0;n(a)&&(a="\u25bc",o=!1);var s=c(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}m.draw=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},m.drawTransparent=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},m.drawPick=function(t){P(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},m.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},m.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]},m.update=function(t){if("perspective"in(t=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(this.projectHasAlpha=!1,"projectOpacity"in t){if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{r=+t.projectOpacity;this.projectOpacity=[r,r,r]}for(var n=0;n<3;++n)this.projectOpacity[n]=g(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,"opacity"in t&&(this.opacity=g(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||"normal",c=t.alignment||[0,0];if(2===c.length)i=c[0],a=c[1];else{i=[],a=[];for(n=0;n<c.length;++n)i[n]=c[n][0],a[n]=c[n][1]}var u=[1/0,1/0,1/0],h=[-1/0,-1/0,-1/0],f=t.glyph,p=t.color,d=t.size,v=t.angle,m=t.lineColor,y=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],k=0;k<3;++k)if(isNaN(w[k])||!isFinite(w[k]))continue t;var T=(N=O(f,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;x+=3*T.cells.length,b+=2*A.edges.length}}var S=x+b,E=o.mallocFloat(3*S),C=o.mallocFloat(4*S),L=o.mallocFloat(2*S),P=o.mallocUint32(S);if(S>0){var z=0,I=x,D=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(m)&&Array.isArray(m[0]);t:for(n=0;n<_;++n){y+=1;for(w=s[n],k=0;k<3;++k){if(isNaN(w[k])||!isFinite(w[k]))continue t;h[k]=Math.max(h[k],w[k]),u[k]=Math.min(u[k],w[k])}T=(N=O(f,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(k=0;k<3;++k)D[k]=U[k];D[3]=1}else if(4===U.length){for(k=0;k<4;++k)D[k]=U[k];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else D[0]=D[1]=D[2]=0,D[3]=1;else D=[1,1,1,0];if(j)if(Array.isArray(m)){var U;if(3===(U=B?n<m.length?m[n]:[0,0,0,0]:m).length){for(k=0;k<3;++k)R[k]=U[k];R[k]=1}else if(4===U.length){for(k=0;k<4;++k)R[k]=U[k];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];var V=.5;j?Array.isArray(d)?V=n<d.length?+d[n]:12:d?V=+d:this.useOrtho&&(V=12):V=0;var q=0;Array.isArray(v)?q=n<v.length?+v[n]:0:v&&(q=+v);var H=Math.cos(q),G=Math.sin(q);for(w=s[n],k=0;k<3;++k)h[k]=Math.max(h[k],w[k]),u[k]=Math.min(u[k],w[k]);var Y=i,W=a;Y=0;Array.isArray(i)?Y=n<i.length?i[n]:0:i&&(Y=i);W=0;Array.isArray(a)?W=n<a.length?a[n]:0:a&&(W=a);var X=[Y*=Y>0?1-M[0][0]:Y<0?1+M[1][0]:1,W*=W>0?1-M[0][1]:W<0?1+M[1][1]:1],Z=T.cells||[],J=T.positions||[];for(k=0;k<Z.length;++k)for(var K=Z[k],$=0;$<3;++$){for(var Q=0;Q<3;++Q)E[3*z+Q]=w[Q];for(Q=0;Q<4;++Q)C[4*z+Q]=D[Q];P[z]=y;var tt=J[K[$]];L[2*z]=V*(H*tt[0]-G*tt[1]+X[0]),L[2*z+1]=V*(G*tt[0]+H*tt[1]+X[1]),z+=1}for(Z=A.edges,J=A.positions,k=0;k<Z.length;++k)for(K=Z[k],$=0;$<2;++$){for(Q=0;Q<3;++Q)E[3*I+Q]=w[Q];for(Q=0;Q<4;++Q)C[4*I+Q]=R[Q];P[I]=y;tt=J[K[$]];L[2*I]=V*(H*tt[0]-G*tt[1]+X[0]),L[2*I+1]=V*(G*tt[0]+H*tt[1]+X[1]),I+=1}}}this.bounds=[u,h],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(C),this.glyphBuffer.update(L),this.idBuffer.update(P),o.free(E),o.free(C),o.free(L),o.free(P)},m.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/get-simple-string":294,"./lib/glyphs":295,"./lib/shaders":296,"gl-buffer":241,"gl-mat4/multiply":267,"gl-vao":327,"is-string-blank":423,"typedarray-pool":545}],298:[function(t,e,r){"use strict";var n=t("glslify");r.boxVertex=n(["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=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform vec4 color;\n\nvoid main() {\n gl_FragColor = color;\n}\n"])},{glslify:409}],299:[function(t,e,r){"use strict";var n=t("gl-shader"),i=t("gl-buffer"),a=t("./lib/shaders");function o(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}e.exports=function(t,e){var r=t.gl,s=i(r,[0,0,0,1,1,0,1,1]),l=n(r,a.boxVertex,a.boxFragment),c=new o(t,s,l);return c.update(e),t.addOverlay(c),c};var s=o.prototype;s.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,c=t.viewBox,u=t.pixelRatio,h=(e[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],f=(e[1]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1],p=(e[2]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],d=(e[3]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1];if(h=Math.max(h,c[0]),f=Math.max(f,c[1]),p=Math.min(p,c[2]),d=Math.min(d,c[3]),!(p<h||d<f)){o.bind();var g=s[2]-s[0],v=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,g,f,i),o.drawBox(0,f,h,d,i),o.drawBox(0,d,g,v,i),o.drawBox(p,f,g,d,i)),this.innerFill&&o.drawBox(h,f,p,d,n),r>0){var m=r*u;o.drawBox(h-m,f-m,p+m,f+m,a),o.drawBox(h-m,d-m,p+m,d+m,a),o.drawBox(h-m,f-m,h+m,d+m,a),o.drawBox(p-m,f-m,p+m,d+m,a)}}}},s.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()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{"./lib/shaders":298,"gl-buffer":241,"gl-shader":301}],300:[function(t,e,r){"use strict";e.exports=function(t,e){var r=n(t,e),a=i.mallocUint8(e[0]*e[1]*4);return new c(t,r,a)};var n=t("gl-fbo"),i=t("typedarray-pool"),a=t("ndarray"),o=t("bit-twiddle").nextPow2,s=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_16_arg0_<255||_inline_16_arg1_<255||_inline_16_arg2_<255||_inline_16_arg3_<255){var _inline_16_l=_inline_16_arg4_-_inline_16_arg6_[0],_inline_16_a=_inline_16_arg5_-_inline_16_arg6_[1],_inline_16_f=_inline_16_l*_inline_16_l+_inline_16_a*_inline_16_a;_inline_16_f<this_closestD2&&(this_closestD2=_inline_16_f,this_closestX=_inline_16_arg6_[0],this_closestY=_inline_16_arg6_[1])}}",args:[{name:"_inline_16_arg0_",lvalue:!1,rvalue:!0,count:1},{name:"_inline_16_arg1_",lvalue:!1,rvalue:!0,count:1},{name:"_inline_16_arg2_",lvalue:!1,rvalue:!0,count:1},{name:"_inline_16_arg3_",lvalue:!1,rvalue:!0,count:1},{name:"_inline_16_arg4_",lvalue:!1,rvalue:!0,count:1},{name:"_inline_16_arg5_",lvalue:!1,rvalue:!0,count:1},{name:"_inline_16_arg6_",lvalue:!1,rvalue:!0,count:4}],thisVars:["this_closestD2","this_closestX","this_closestY"],localVars:["_inline_16_a","_inline_16_f","_inline_16_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});function l(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function c(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)}}var u=c.prototype;Object.defineProperty(u,"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){i.free(this.buffer);for(var n=this.buffer=i.mallocUint8(o(r*e*4)),a=0;a<r*e*4;++a)n[a]=255}return t}}}),u.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))},u.end=function(){var t=this.gl;t&&(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},u.query=function(t,e,r){if(!this.gl)return null;var n=this.fbo.shape.slice();t|=0,e|=0,"number"!=typeof r&&(r=1);var i=0|Math.min(Math.max(t-r,0),n[0]),o=0|Math.min(Math.max(t+r,0),n[0]),c=0|Math.min(Math.max(e-r,0),n[1]),u=0|Math.min(Math.max(e+r,0),n[1]);if(o<=i||u<=c)return null;var h=[o-i,u-c],f=a(this.buffer,[h[0],h[1],4],[4,4*n[0],1],4*(i+n[0]*c)),p=s(f.hi(h[0],h[1],1),r,r),d=p[0],g=p[1];return d<0||Math.pow(this.radius,2)<p[2]?null:new l(d+i|0,g+c|0,f.get(d,g,0),[f.get(d,g,1),f.get(d,g,2),f.get(d,g,3)],Math.sqrt(p[2]))},u.dispose=function(){this.gl&&(this.fbo.dispose(),i.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))}},{"bit-twiddle":92,"cwise/lib/wrapper":149,"gl-fbo":249,ndarray:450,"typedarray-pool":545}],301:[function(t,e,r){"use strict";var n=t("./lib/create-uniforms"),i=t("./lib/create-attributes"),a=t("./lib/reflect"),o=t("./lib/shader-cache"),s=t("./lib/runtime-reflect"),l=t("./lib/GLError");function 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l=s[0]+(n[0]-o[0])/(o[2]-o[0])*(s[2]-s[0]),c=s[1]+(n[1]-o[1])/(o[3]-o[1])*(s[3]-s[1]);t[0]&&a.drawLine(l,c,s[0],c,e[0],r[0]),t[1]&&a.drawLine(l,c,l,s[1],e[1],r[1]),t[2]&&a.drawLine(l,c,s[2],c,e[2],r[2]),t[3]&&a.drawLine(l,c,l,s[3],e[3],r[3])}},i.dispose=function(){this.plot.removeOverlay(this)}},{}],309:[function(t,e,r){"use strict";var n=t("glslify"),i=t("gl-shader"),a=n(["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 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t&&(this.colors=t.colors),"enabled"in t&&(this.enabled=t.enabled),"drawSides"in t&&(this.drawSides=t.drawSides))},l.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{"./shaders/index":309,"gl-buffer":241,"gl-vao":327}],311:[function(t,e,r){var n=t("glslify"),i=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n // Return up-vector for only-z vector.\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\n // Assign z = 0, x = -b, y = a:\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n return normalize(vec3(-v.y, v.x, 0.0));\n } else {\n return normalize(vec3(0.0, v.z, -v.y));\n }\n}\n\n// Calculate the tube vertex and normal at the given index.\n//\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n//\n// Each tube segment is made up of a ring of vertices.\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n// The indexes of tube segments run from 0 to 8.\n//\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n float segmentCount = 8.0;\n\n float angle = 2.0 * 3.14159 * (index / segmentCount);\n\n vec3 u = getOrthogonalVector(d);\n vec3 v = normalize(cross(u, d));\n\n vec3 x = u * cos(angle) * length(d);\n vec3 y = v * sin(angle) * length(d);\n vec3 v3 = x + y;\n\n normal = normalize(v3);\n\n return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 color, position;\nattribute vec2 uv;\nuniform float vectorScale;\nuniform float tubeScale;\n\nuniform mat4 model\n , view\n , projection\n , inverseModel;\nuniform vec3 eyePosition\n , lightPosition;\n\nvarying vec3 f_normal\n , f_lightDirection\n , f_eyeDirection\n , f_data\n , f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n // Scale the vector magnitude to stay constant with\n // model & view changes.\n vec3 normal;\n vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n //Lighting geometry parameters\n vec4 cameraCoordinate = view * tubePosition;\n cameraCoordinate.xyz /= cameraCoordinate.w;\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\n f_normal = normalize((vec4(normal,0.0) * inverseModel).xyz);\n\n // vec4 m_position = model * vec4(tubePosition, 1.0);\n vec4 t_position = view * tubePosition;\n gl_Position = projection * t_position;\n\n f_color = color;\n f_data = tubePosition.xyz;\n f_position = position.xyz;\n f_uv = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(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\nfloat cookTorranceSpecular(\n vec3 lightDirection,\n vec3 viewDirection,\n vec3 surfaceNormal,\n float roughness,\n float fresnel) {\n\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n //Half angle vector\n vec3 H = normalize(lightDirection + viewDirection);\n\n //Geometric term\n float NdotH = max(dot(surfaceNormal, H), 0.0);\n float VdotH = max(dot(viewDirection, H), 0.000001);\n float LdotH = max(dot(lightDirection, H), 0.000001);\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\n float G = min(1.0, min(G1, G2));\n \n //Distribution term\n float D = beckmannDistribution(NdotH, roughness);\n\n //Fresnel term\n float F = pow(1.0 - VdotN, fresnel);\n\n //Multiply terms and done\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness\n , fresnel\n , kambient\n , kdiffuse\n , kspecular\n , opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal\n , f_lightDirection\n , f_eyeDirection\n , f_data\n , f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n vec3 N = normalize(f_normal);\n vec3 L = normalize(f_lightDirection);\n vec3 V = normalize(f_eyeDirection);\n\n if(gl_FrontFacing) {\n N = -N;\n }\n\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = litColor * opacity;\n}\n"]),o=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n // Return up-vector for only-z vector.\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\n // Assign z = 0, x = -b, y = a:\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n return normalize(vec3(-v.y, v.x, 0.0));\n } else {\n return normalize(vec3(0.0, v.z, -v.y));\n }\n}\n\n// Calculate the tube vertex and normal at the given index.\n//\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n//\n// Each tube segment is made up of a ring of vertices.\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n// The indexes of tube segments run from 0 to 8.\n//\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n float segmentCount = 8.0;\n\n float angle = 2.0 * 3.14159 * (index / segmentCount);\n\n vec3 u = getOrthogonalVector(d);\n vec3 v = normalize(cross(u, d));\n\n vec3 x = u * cos(angle) * length(d);\n vec3 y = v * sin(angle) * length(d);\n vec3 v3 = x + y;\n\n normal = normalize(v3);\n\n return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float tubeScale;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n vec3 normal;\n vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n gl_Position = projection * view * tubePosition;\n f_id = id;\n f_position = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"normal",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec4"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec4"}]}},{glslify:409}],312:[function(t,e,r){"use strict";var n=t("gl-shader"),i=t("gl-buffer"),a=t("gl-vao"),o=t("gl-texture2d"),s=t("normals"),l=t("gl-mat4/multiply"),c=t("gl-mat4/invert"),u=t("ndarray"),h=t("colormap"),f=t("simplicial-complex-contour"),p=t("typedarray-pool"),d=t("./shaders"),g=d.meshShader,v=d.pickShader,m=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function y(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,g,v,y,x,b,_,w,k,T){this.gl=t,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleNormals=c,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=u,this.triangleCount=0,this.lineWidth=1,this.edgePositions=h,this.edgeColors=p,this.edgeUVs=d,this.edgeIds=f,this.edgeVAO=g,this.edgeCount=0,this.pointPositions=v,this.pointColors=x,this.pointUVs=b,this.pointSizes=_,this.pointIds=y,this.pointVAO=w,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=k,this.contourVAO=T,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!1,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.tubeScale=1,this._model=m,this._view=m,this._projection=m,this._resolution=[1,1],this.pixelRatio=1}var x=y.prototype;function b(t){var e=n(t,v.vertex,v.fragment,null,v.attributes);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.vector.location=5,e}x.isOpaque=function(){return this.opacity>=1},x.isTransparent=function(){return this.opacity<1},x.pickSlots=1,x.setPickBase=function(t){this.pickId=t},x.highlight=function(t){if(t&&this.contourEnable){for(var e=f(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var c=r[l],u=0;u<2;++u){var h=c[0];2===c.length&&(h=c[u]);for(var d=n[h][0],g=n[h][1],v=i[h],m=1-v,y=this.positions[d],x=this.positions[g],b=0;b<3;++b)o[s++]=v*y[b]+m*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},x.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=o(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(function(t){for(var e=h({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 u(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale);var a=[],l=[],c=[],f=[],p=[],d=[],g=[],v=[],m=[],y=[],x=[],b=[],_=[],w=[],k=[];this.cells=r,this.positions=n,this.vectors=i;var T=t.vertexNormals,A=t.cellNormals,M=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,S=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!A&&(A=s.faceNormals(r,n,S)),A||T||(T=s.vertexNormals(r,n,M));var E=t.vertexColors,C=t.cellColors,L=t.meshColor||[1,1,1,1],P=t.vertexUVs,O=t.vertexIntensity,z=t.cellUVs,I=t.cellIntensity,D=1/0,R=-1/0;if(!P&&!z)if(O)if(t.vertexIntensityBounds)D=+t.vertexIntensityBounds[0],R=+t.vertexIntensityBounds[1];else for(var F=0;F<O.length;++F){var B=O[F];D=Math.min(D,B),R=Math.max(R,B)}else if(I)for(F=0;F<I.length;++F){B=I[F];D=Math.min(D,B),R=Math.max(R,B)}else for(F=0;F<n.length;++F){B=n[F][2];D=Math.min(D,B),R=Math.max(R,B)}this.intensity=O||(I?function(t,e,r){for(var n=new Array(e),i=0;i<e;++i)n[i]=0;var a=t.length;for(i=0;i<a;++i)for(var o=t[i],s=0;s<o.length;++s)n[o[s]]=r[i];return n}(r,n.length,I):function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n));var N=t.pointSizes,j=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(F=0;F<n.length;++F)for(var U=n[F],V=0;V<3;++V)!isNaN(U[V])&&isFinite(U[V])&&(this.bounds[0][V]=Math.min(this.bounds[0][V],U[V]),this.bounds[1][V]=Math.max(this.bounds[1][V],U[V]));var q=0,H=0,G=0;t:for(F=0;F<r.length;++F){var Y=r[F];switch(Y.length){case 1:for(U=n[X=Y[0]],V=0;V<3;++V)if(isNaN(U[V])||!isFinite(U[V]))continue t;x.push(U[0],U[1],U[2],U[3]),3===(Z=E?E[X]:C?C[F]:L).length?b.push(Z[0],Z[1],Z[2],1):b.push(Z[0],Z[1],Z[2],Z[3]),J=P?P[X]:O?[(O[X]-D)/(R-D),0]:z?z[F]:I?[(I[F]-D)/(R-D),0]:[(U[2]-D)/(R-D),0],_.push(J[0],J[1]),N?w.push(N[X]):w.push(j),k.push(F),G+=1;break;case 2:for(V=0;V<2;++V){U=n[X=Y[V]];for(var W=0;W<3;++W)if(isNaN(U[W])||!isFinite(U[W]))continue t}for(V=0;V<2;++V){U=n[X=Y[V]];g.push(U[0],U[1],U[2]),3===(Z=E?E[X]:C?C[F]:L).length?v.push(Z[0],Z[1],Z[2],1):v.push(Z[0],Z[1],Z[2],Z[3]),J=P?P[X]:O?[(O[X]-D)/(R-D),0]:z?z[F]:I?[(I[F]-D)/(R-D),0]:[(U[2]-D)/(R-D),0],m.push(J[0],J[1]),y.push(F)}H+=1;break;case 3:for(V=0;V<3;++V)for(U=n[X=Y[V]],W=0;W<3;++W)if(isNaN(U[W])||!isFinite(U[W]))continue t;for(V=0;V<3;++V){var X;U=n[X=Y[2-V]];a.push(U[0],U[1],U[2],U[3]);var Z,J,K,$=i[X];l.push($[0],$[1],$[2],$[3]),3===(Z=E?E[X]:C?C[F]:L).length?c.push(Z[0],Z[1],Z[2],1):c.push(Z[0],Z[1],Z[2],Z[3]),J=P?P[X]:O?[(O[X]-D)/(R-D),0]:z?z[F]:I?[(I[F]-D)/(R-D),0]:[(U[2]-D)/(R-D),0],p.push(J[0],J[1]),K=T?T[X]:A[F],f.push(K[0],K[1],K[2]),d.push(F)}q+=1}}this.pointCount=G,this.edgeCount=H,this.triangleCount=q,this.pointPositions.update(x),this.pointColors.update(b),this.pointUVs.update(_),this.pointSizes.update(w),this.pointIds.update(new Uint32Array(k)),this.edgePositions.update(g),this.edgeColors.update(v),this.edgeUVs.update(m),this.edgeIds.update(new Uint32Array(y)),this.trianglePositions.update(a),this.triangleVectors.update(l),this.triangleColors.update(c),this.triangleUVs.update(p),this.triangleNormals.update(f),this.triangleIds.update(new Uint32Array(d))}},x.drawTransparent=x.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||m,n=t.view||m,i=t.projection||m,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,inverseModel:m.slice(),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,tubeScale:this.tubeScale,contourColor:this.contourColor,texture:0};s.inverseModel=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);l(u,s.view,s.model),l(u,s.projection,u),c(u,u);for(o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var f=u[12+o],p=0;p<3;++p)f+=u[4*p+o]*this.lightPosition[p];s.lightPosition[o]=f/h}if(this.triangleCount>0){var d=this.triShader;d.bind(),d.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},x.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||m,n=t.view||m,i=t.projection||m,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,tubeScale:this.tubeScale,pickId:this.pickId/255},l=this.pickShader;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*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind())},x.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3);return{index:e,position:n,intensity:this.intensity[r[1]],velocity:this.vectors[r[1]].slice(0,3),divergence:this.vectors[r[1]][3],dataCoordinate:n}},x.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.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()},e.exports=function(t,e){1===arguments.length&&(t=(e=t).gl);var r=e.triShader||function(t){var e=n(t,g.vertex,g.fragment,null,g.attributes);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.vector.location=5,e}(t),s=b(t),l=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));l.generateMipmap(),l.minFilter=t.LINEAR_MIPMAP_LINEAR,l.magFilter=t.LINEAR;var c=i(t),h=i(t),f=i(t),p=i(t),d=i(t),v=i(t),m=a(t,[{buffer:c,type:t.FLOAT,size:4},{buffer:v,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:f,type:t.FLOAT,size:4},{buffer:p,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:3},{buffer:h,type:t.FLOAT,size:4}]),x=i(t),_=i(t),w=i(t),k=i(t),T=a(t,[{buffer:x,type:t.FLOAT,size:3},{buffer:k,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:_,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2}]),A=i(t),M=i(t),S=i(t),E=i(t),C=i(t),L=a(t,[{buffer:A,type:t.FLOAT,size:3},{buffer:C,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:M,type:t.FLOAT,size:4},{buffer:S,type:t.FLOAT,size:2},{buffer:E,type:t.FLOAT,size:1}]),P=i(t),O=new y(t,l,r,s,c,h,v,f,p,d,m,x,k,_,w,T,A,C,M,S,E,L,P,a(t,[{buffer:P,type:t.FLOAT,size:3}]));return O.update(e),O}},{"./shaders":311,colormap:126,"gl-buffer":241,"gl-mat4/invert":265,"gl-mat4/multiply":267,"gl-shader":301,"gl-texture2d":322,"gl-vao":327,ndarray:450,normals:453,"simplicial-complex-contour":518,"typedarray-pool":545}],313:[function(t,e,r){"use strict";var n=t("gl-vec3"),i=t("gl-vec4"),a=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,c=0;c<l.length;c++){var u=n.length(l[c]);u>o&&(o=u)}var h=t.map(function(t){return function(t,e,r,a){var o,s,l,c=t.points,u=t.velocities,h=t.divergences;n.set(n.create(),0,1,0),n.create(),n.create();n.create();for(var f=[],p=[],d=[],g=[],v=[],m=[],y=0,x=0,b=i.create(),_=i.create(),w=0;w<c.length;w++){o=c[w],s=u[w],l=h[w],0===e&&(l=.05*r),x=n.length(s)/a,b=i.create(),n.copy(b,s),b[3]=l;for(var k=0;k<8;k++)v[k]=[o[0],o[1],o[2],k];if(g.length>0)for(k=0;k<8;k++){var T=(k+1)%8;f.push(g[k],v[k],v[T],v[T],g[T],g[k]),d.push(_,b,b,b,_,_),m.push(y,x,x,x,y,y),p.push([f.length-6,f.length-5,f.length-4],[f.length-3,f.length-2,f.length-1])}var A=g;g=v,v=A,A=_,_=b,b=A,A=y,y=x,x=A}return{positions:f,cells:p,vectors:d,vertexIntensity:m}}(t,r,a,o)}),f=[],p=[],d=[],g=[];for(s=0;s<h.length;s++){var v=h[s],m=f.length;f=f.concat(v.positions),d=d.concat(v.vectors),g=g.concat(v.vertexIntensity);for(c=0;c<v.cells.length;c++){var y=v.cells[c],x=[];p.push(x);for(var b=0;b<y.length;b++)x.push(y[b]+m)}}return{positions:f,cells:p,vectors:d,vertexIntensity:g,colormap:e}},o=function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=this.getVelocity(r);n.subtract(a,a,e),n.scale(a,a,1e4),n.add(r,t,[0,i,0]);var o=this.getVelocity(r);n.subtract(o,o,e),n.scale(o,o,1e4),n.add(r,t,[0,0,i]);var s=this.getVelocity(r);return n.subtract(s,s,e),n.scale(s,s,1e4),n.add(r,a,o),n.add(r,r,s),r},s=function(t){return f(t,this.vectors,this.meshgrid,this.clampBorders)},l=function(t,e){for(var r=0;r<t.length;r++){var n=t[r];if(n===e)return r;if(n>e)return r-1}return r},c=n.create(),u=n.create(),h=function(t,e,r){return t<e?e:t>r?r:t},f=function(t,e,r,i){var a=t[0],o=t[1],s=t[2],f=r[0].length,p=r[1].length,d=r[2].length,g=l(r[0],a),v=l(r[1],o),m=l(r[2],s),y=g+1,x=v+1,b=m+1;if(r[0][g]===a&&(y=g),r[1][v]===o&&(x=v),r[2][m]===s&&(b=m),i&&(g=h(g,0,f-1),y=h(y,0,f-1),v=h(v,0,p-1),x=h(x,0,p-1),m=h(m,0,d-1),b=h(b,0,d-1)),g<0||v<0||m<0||y>=f||x>=p||b>=d)return n.create();var _=(a-r[0][g])/(r[0][y]-r[0][g]),w=(o-r[1][v])/(r[1][x]-r[1][v]),k=(s-r[2][m])/(r[2][b]-r[2][m]);(_<0||_>1||isNaN(_))&&(_=0),(w<0||w>1||isNaN(w))&&(w=0),(k<0||k>1||isNaN(k))&&(k=0);var T=m*f*p,A=b*f*p,M=v*f,S=x*f,E=g,C=y,L=e[M+T+E],P=e[M+T+C],O=e[S+T+E],z=e[S+T+C],I=e[M+A+E],D=e[M+A+C],R=e[S+A+E],F=e[S+A+C],B=n.create();return n.lerp(B,L,P,_),n.lerp(c,O,z,_),n.lerp(B,B,c,w),n.lerp(c,I,D,_),n.lerp(u,R,F,_),n.lerp(c,c,u,w),n.lerp(B,B,c,k),B},p=function(t){var e=1/0;t.sort(function(t,e){return t-e});for(var r=1;r<t.length;r++){var n=Math.abs(t[r]-t[r-1]);n<e&&(e=n)}return e};e.exports=function(t,e){var r=t.startingPositions,i=t.maxLength||1e3,l=t.tubeSize||1,c=t.absoluteTubeSize;t.getDivergence||(t.getDivergence=o),t.getVelocity||(t.getVelocity=s),void 0===t.clampBorders&&(t.clampBorders=!0);var u=[],h=e[0][0],f=e[0][1],d=e[0][2],g=e[1][0],v=e[1][1],m=e[1][2],y=function(t,e){var r=e[0],n=e[1],i=e[2];return r>=h&&r<=g&&n>=f&&n<=v&&i>=d&&i<=m},x=10*n.distance(e[0],e[1])/i,b=x*x,_=1,w=0;n.create();r.length>=2&&(_=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=0;s<t.length;s++){var l=t[s],c=l[0],u=l[1],h=l[2];i[c]||(e.push(c),i[c]=!0),a[u]||(r.push(u),a[u]=!0),o[h]||(n.push(h),o[h]=!0)}var f=p(e),d=p(r),g=p(n),v=Math.min(f,d,g);return isFinite(v)?v:1}(r));for(var k=0;k<r.length;k++){var T=n.create();n.copy(T,r[k]);var A=[T],M=[],S=t.getVelocity(T),E=T;M.push(S);var C=[],L=t.getDivergence(T,S);(I=n.length(L))>w&&!isNaN(I)&&isFinite(I)&&(w=I),C.push(I),u.push({points:A,velocities:M,divergences:C});for(var P=0;P<100*i&&A.length<i&&y(0,T);){P++;var O=n.clone(S),z=n.squaredLength(O);if(0===z)break;if(z>b&&n.scale(O,O,x/Math.sqrt(z)),n.add(O,O,T),S=t.getVelocity(O),n.squaredDistance(E,O)-b>-1e-4*b){A.push(O),E=O,M.push(S);L=t.getDivergence(O,S);(I=n.length(L))>w&&!isNaN(I)&&isFinite(I)&&(w=I),C.push(I)}T=O}}for(k=0;k<C.length;k++){var I=C[k];!isNaN(I)&&isFinite(I)||(C[k]=w)}var D=a(u,t.colormap,w,_);return c?D.tubeScale=c:(0===w&&(w=1),D.tubeScale=.5*l*_/w),D},e.exports.createTubeMesh=t("./lib/tubemesh")},{"./lib/tubemesh":312,"gl-vec3":346,"gl-vec4":382}],314:[function(t,e,r){var n=t("gl-shader"),i=t("glslify"),a=i(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute vec3 f;\nattribute vec3 normal;\n\nuniform vec3 objectOffset;\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 vec3 localCoordinate = vec3(uv.zw, f.x);\n worldCoordinate = objectOffset + localCoordinate;\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"]),o=i(["precision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(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\nfloat beckmannSpecular(\n vec3 lightDirection,\n vec3 viewDirection,\n vec3 surfaceNormal,\n float roughness) {\n return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\n}\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\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 (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\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 = max(beckmannSpecular(L, V, N, roughness), 0.);\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 =\n step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\n 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"]),s=i(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute float f;\n\nuniform vec3 objectOffset;\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 worldCoordinate = objectOffset + dataCoordinate;\n vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\n\n vec4 clipPosition = projection * view * worldPosition;\n clipPosition.z += zOffset;\n\n gl_Position = clipPosition;\n value = f + objectOffset.z;\n kill = -1.0;\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"]),l=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\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 (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) 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,a,o,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,a,l,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,s,o,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,s,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{"gl-shader":301,glslify:409}],315:[function(t,e,r){arguments[4][111][0].apply(r,arguments)},{dup:111}],316:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=y(e),n=b(e),s=x(e),l=_(e),c=i(e),u=a(e,[{buffer:c,size:4,stride:w,offset:0},{buffer:c,size:3,stride:w,offset:16},{buffer:c,size:3,stride:w,offset:28}]),h=i(e),f=a(e,[{buffer:h,size:4,stride:20,offset:0},{buffer:h,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),g=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);g.minFilter=e.LINEAR,g.magFilter=e.LINEAR;var v=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,g,s,l,h,f,p,d,[0,0,0]),m={levels:[[],[],[]]};for(var k in t)m[k]=t[k];return m.colormap=m.colormap||"jet",v.update(m),v};var n=t("bit-twiddle"),i=t("gl-buffer"),a=t("gl-vao"),o=t("gl-texture2d"),s=t("typedarray-pool"),l=t("colormap"),c=t("ndarray-ops"),u=t("ndarray-pack"),h=t("ndarray"),f=t("surface-nets"),p=t("gl-mat4/multiply"),d=t("gl-mat4/invert"),g=t("binary-search-bounds"),v=t("ndarray-gradient"),m=t("./lib/shaders"),y=m.createShader,x=m.createContourShader,b=m.createPickShader,_=m.createPickContourShader,w=40,k=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],T=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],A=[[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 M(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=A[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var S=256;function E(t,e,r,n,i,a,o,l,c,u,f,p,d,g,v){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=v,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=f,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=g,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=[NaN,NaN,NaN],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=[h(s.mallocFloat(1024),[0,0]),h(s.mallocFloat(1024),[0,0]),h(s.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.pixelRatio=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}var C=E.prototype;C.isTransparent=function(){return this.opacity<1},C.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},C.pickSlots=1,C.setPickBase=function(t){this.pickId=t};var L=[0,0,0],P={showSurface:!1,showContour:!1,projections:[k.slice(),k.slice(),k.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function O(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||L,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=P.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],p(l,t.model,l);var c=P.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)c[i][n]=t.clipBounds[i][n];c[0][r]=-1e8,c[1][r]=1e8}return P.showSurface=o,P.showContour=s,P}var z={model:k,view:k,projection:k,inverseModel:k.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,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},I=k.slice(),D=[1,0,0,0,1,0,0,0,1];function R(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=z;n.model=t.model||k,n.view=t.view||k,n.projection=t.projection||k,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.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-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=D,n.vertexColor=this.vertexColor;var s=I;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var c=s[12+i];for(o=0;o<3;++o)c+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=c/l}var u=O(n,this);if(u.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=u.projections[i],this._shader.uniforms.clipBounds=u.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour&&!e){var h=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,h.bind(),h.uniforms=n;var f=this._contourVAO;for(f.bind(),i=0;i<3;++i)for(h.uniforms.permutation=A[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(h.uniforms.contourColor=this.highlightColor[i],h.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(h.uniforms.contourColor=this.contourColor[i],h.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(h.uniforms.height=this.contourLevels[i][o],f.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(h.uniforms.model=u.projections[i],h.uniforms.clipBounds=u.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){h.uniforms.permutation=A[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var g=0;g<this.contourLevels[o].length;++g)g===this.highlightLevel[o]?(h.uniforms.contourColor=this.highlightColor[o],h.uniforms.contourTint=this.highlightTint[o]):0!==g&&g-1!==this.highlightLevel[o]||(h.uniforms.contourColor=this.contourColor[o],h.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][g]&&(h.uniforms.height=this.contourLevels[o][g],f.draw(r.LINES,this._contourCounts[o][g],this._contourOffsets[o][g]))}for(f.unbind(),(f=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(h.uniforms.model=n.model,h.uniforms.clipBounds=n.clipBounds,h.uniforms.permutation=A[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),h.uniforms.contourColor=this.dynamicColor[i],h.uniforms.contourTint=this.dynamicTint[i],h.uniforms.height=this.dynamicLevel[i],f.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(h.uniforms.model=u.projections[o],h.uniforms.clipBounds=u.clipBounds[o],f.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));f.unbind()}}C.draw=function(t){return R.call(this,t,!1)},C.drawTransparent=function(t){return R.call(this,t,!0)};var F={model:k,view:k,projection:k,inverseModel:k,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function B(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function N(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 j(t){if(Array.isArray(t)){if(Array.isArray(t))return[N(t[0]),N(t[1]),N(t[2])];var e=N(t);return[e.slice(),e.slice(),e.slice()]}}C.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=F;r.model=t.model||k,r.view=t.view||k,r.projection=t.projection||k,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=D;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 o=O(r,this);if(o.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=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=A[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=A[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var c=0;c<this.contourLevels[a].length;++c)this._contourCounts[a][c]&&(s.uniforms.height=this.contourLevels[a][c],l.draw(e.LINES,this._contourCounts[a][c],this._contourOffsets[a][c]))}l.unbind()}},C.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 c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var h=u?a:1-a,f=0;f<2;++f)for(var p=i+u,d=s+f,v=h*(f?l:1-l),m=0;m<3;++m)c[m]+=this._field[m].get(p,d)*v;for(var y=this._pickResult.level,x=0;x<3;++x)if(y[x]=g.le(this.contourLevels[x],c[x]),y[x]<0)this.contourLevels[x].length>0&&(y[x]=0);else if(y[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][y[x]],_=this.contourLevels[x][y[x]+1];Math.abs(b-c[x])>Math.abs(_-c[x])&&(y[x]+=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],m=0;m<3;++m)r.dataCoordinate[m]=this._field[m].get(r.index[0],r.index[1]);return r},C.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();c.assign(t.lo(1,1).hi(r[0],r[1]),e),c.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),c.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),c.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),c.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))},C.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,"contourWidth"in t&&(this.contourWidth=B(t.contourWidth,Number)),"showContour"in t&&(this.showContour=B(t.showContour,Boolean)),"showSurface"in t&&(this.showSurface=!!t.showSurface),"contourTint"in t&&(this.contourTint=B(t.contourTint,Boolean)),"contourColor"in t&&(this.contourColor=j(t.contourColor)),"contourProject"in t&&(this.contourProject=B(t.contourProject,function(t){return B(t,Boolean)})),"surfaceProject"in t&&(this.surfaceProject=t.surfaceProject),"dynamicColor"in t&&(this.dynamicColor=j(t.dynamicColor)),"dynamicTint"in t&&(this.dynamicTint=B(t.dynamicTint,Number)),"dynamicWidth"in t&&(this.dynamicWidth=B(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 i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=h(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(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&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=h(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var p=t.coords;if(!Array.isArray(p)||3!==p.length)throw new Error("gl-surface: invalid coordinates for x/y");for(o=0;o<2;++o){var d=p[o];for(b=0;b<2;++b)if(d.shape[b]!==a[b])throw new Error("gl-surface: coords have incorrect shape");this.padField(this._field[o],d)}}else if(t.ticks){var g=t.ticks;if(!Array.isArray(g)||2!==g.length)throw new Error("gl-surface: invalid ticks");for(o=0;o<2;++o){var m=g[o];if((Array.isArray(m)||m.length)&&(m=h(m)),m.shape[0]!==a[o])throw new Error("gl-surface: invalid tick length");var y=h(m.data,a);y.stride[o]=m.stride[0],y.stride[1^o]=0,this.padField(this._field[o],y)}}else{for(o=0;o<2;++o){var x=[0,0];x[o]=1,this._field[o]=h(this._field[o].data,[a[0]+2,a[1]+2],x,0)}this._field[0].set(0,0,0);for(var b=0;b<a[0];++b)this._field[0].set(b+1,0,b);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),b=0;b<a[1];++b)this._field[1].set(0,b+1,b);this._field[1].set(0,a[1]+1,a[1]-1)}var _=this._field,w=h(s.mallocFloat(3*_[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)v(w.pick(o),_[o],"mirror");var k=h(s.mallocFloat(3*_[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(b=0;b<a[1]+2;++b){var A=w.get(0,o,b,0),M=w.get(0,o,b,1),E=w.get(1,o,b,0),C=w.get(1,o,b,1),L=w.get(2,o,b,0),P=w.get(2,o,b,1),O=E*P-C*L,z=L*M-P*A,I=A*C-M*E,D=Math.sqrt(O*O+z*z+I*I);D<1e-8?(D=Math.max(Math.abs(O),Math.abs(z),Math.abs(I)))<1e-8?(I=1,z=O=0,D=1):D=1/D:D=1/Math.sqrt(D),k.set(o,b,0,O*D),k.set(o,b,1,z*D),k.set(o,b,2,I*D)}s.free(w.data);var R=[1/0,1/0,1/0],F=[-1/0,-1/0,-1/0],N=1/0,U=-1/0,V=(a[0]-1)*(a[1]-1)*6,q=s.mallocFloat(n.nextPow2(10*V)),H=0,G=0;for(o=0;o<a[0]-1;++o)t:for(b=0;b<a[1]-1;++b){for(var Y=0;Y<2;++Y)for(var W=0;W<2;++W)for(var X=0;X<3;++X){var Z=this._field[X].get(1+o+Y,1+b+W);if(isNaN(Z)||!isFinite(Z))continue t}for(X=0;X<6;++X){var J=o+T[X][0],K=b+T[X][1],$=this._field[0].get(J+1,K+1),Q=this._field[1].get(J+1,K+1);Z=this._field[2].get(J+1,K+1),O=k.get(J+1,K+1,0),z=k.get(J+1,K+1,1),I=k.get(J+1,K+1,2),t.intensity&&(tt=t.intensity.get(J,K));var tt=t.intensity?t.intensity.get(J,K):Z+this.objectOffset[2];q[H++]=J,q[H++]=K,q[H++]=$,q[H++]=Q,q[H++]=Z,q[H++]=0,q[H++]=tt,q[H++]=O,q[H++]=z,q[H++]=I,R[0]=Math.min(R[0],$+this.objectOffset[0]),R[1]=Math.min(R[1],Q+this.objectOffset[1]),R[2]=Math.min(R[2],Z+this.objectOffset[2]),N=Math.min(N,tt),F[0]=Math.max(F[0],$+this.objectOffset[0]),F[1]=Math.max(F[1],Q+this.objectOffset[1]),F[2]=Math.max(F[2],Z+this.objectOffset[2]),U=Math.max(U,tt),G+=1}}for(t.intensityBounds&&(N=+t.intensityBounds[0],U=+t.intensityBounds[1]),o=6;o<H;o+=10)q[o]=(q[o]-N)/(U-N);this._vertexCount=G,this._coordinateBuffer.update(q.subarray(0,H)),s.freeFloat(q),s.free(k.data),this.bounds=[R,F],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===N&&this.intensityBounds[1]===U||(r=!0),this.intensityBounds=[N,U]}if("levels"in t){var et=t.levels;for(et=Array.isArray(et[0])?et.slice():[[],[],et],o=0;o<3;++o)et[o]=et[o].slice(),et[o].sort(function(t,e){return t-e});for(o=0;o<3;++o)for(b=0;b<et[o].length;++b)et[o][b]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(et[o].length!==this.contourLevels[o].length){r=!0;break}for(b=0;b<et[o].length;++b)if(et[o][b]!==this.contourLevels[o][b]){r=!0;break t}}this.contourLevels=et}if(r){_=this._field,a=this.shape;for(var rt=[],nt=0;nt<3;++nt){var it=this.contourLevels[nt],at=[],ot=[],st=[0,0,0];for(o=0;o<it.length;++o){var lt=f(this._field[nt],it[o]);at.push(rt.length/5|0),G=0;t:for(b=0;b<lt.cells.length;++b){var ct=lt.cells[b];for(X=0;X<2;++X){var ut=lt.positions[ct[X]],ht=ut[0],ft=0|Math.floor(ht),pt=ht-ft,dt=ut[1],gt=0|Math.floor(dt),vt=dt-gt,mt=!1;e:for(var yt=0;yt<3;++yt){st[yt]=0;var xt=(nt+yt+1)%3;for(Y=0;Y<2;++Y){var bt=Y?pt:1-pt;for(J=0|Math.min(Math.max(ft+Y,0),a[0]),W=0;W<2;++W){var _t=W?vt:1-vt;if(K=0|Math.min(Math.max(gt+W,0),a[1]),Z=yt<2?this._field[xt].get(J,K):(this.intensity.get(J,K)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(Z)||isNaN(Z)){mt=!0;break e}var wt=bt*_t;st[yt]+=wt*Z}}}if(mt){if(X>0){for(var kt=0;kt<5;++kt)rt.pop();G-=1}continue t}rt.push(st[0],st[1],ut[0],ut[1],st[2]),G+=1}}ot.push(G)}this._contourOffsets[nt]=at,this._contourCounts[nt]=ot}var Tt=s.mallocFloat(rt.length);for(o=0;o<rt.length;++o)Tt[o]=rt[o];this._contourBuffer.update(Tt),s.freeFloat(Tt)}t.colormap&&this._colorMap.setPixels(function(t){var e=u([l({colormap:t,nshades:S,format:"rgba"}).map(function(t){return[t[0],t[1],t[2],255*t[3]]})]);return c.divseq(e,255),e}(t.colormap))},C.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)s.freeFloat(this._field[t].data)},C.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(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=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],h=this._field[l],p=this._field[c],d=f(u,r[o]),g=d.cells,v=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<g.length;++e)for(var m=g[e],y=0;y<2;++y){var x=v[m[y]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),k=b-_,T=1-k,A=+x[1],M=0|A,S=0|Math.min(M+1,i[1]),E=A-M,C=1-E,L=T*C,P=T*E,O=k*C,z=k*E,I=L*h.get(_,M)+P*h.get(_,S)+O*h.get(w,M)+z*h.get(w,S),D=L*p.get(_,M)+P*p.get(_,S)+O*p.get(w,M)+z*p.get(w,S);if(isNaN(I)||isNaN(D)){y&&(n-=1);break}a[2*n+0]=I,a[2*n+1]=D,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},{"./lib/shaders":314,"binary-search-bounds":315,"bit-twiddle":92,colormap:126,"gl-buffer":241,"gl-mat4/invert":265,"gl-mat4/multiply":267,"gl-texture2d":322,"gl-vao":327,ndarray:450,"ndarray-gradient":441,"ndarray-ops":444,"ndarray-pack":445,"surface-nets":531,"typedarray-pool":545}],317:[function(t,e,r){"use strict";var n=t("css-font"),i=t("pick-by-alias"),a=t("regl"),o=t("gl-util/context"),s=t("es6-weak-map"),l=t("color-normalize"),c=t("font-atlas"),u=t("typedarray-pool"),h=t("parse-rect"),f=t("is-plain-obj"),p=t("parse-unit"),d=t("to-px"),g=t("detect-kerning"),v=t("object-assign"),m=t("font-measure"),y=t("flatten-vertex-data"),x=t("bit-twiddle").nextPow2,b=new s,_=!1;if(document.body){var w=document.body.appendChild(document.createElement("div"));w.style.font="italic small-caps bold condensed 16px/2 cursive",getComputedStyle(w).fontStretch&&(_=!0),document.body.removeChild(w)}var k=function(t){!function(t){return"function"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||a({gl:this.gl}),this.charBuffer=this.regl.buffer({type:"uint8",usage:"stream"}),this.sizeBuffer=this.regl.buffer({type:"float",usage:"stream"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(f(t)?t:{})};k.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:"src alpha",dstRGB:"one minus src alpha",srcAlpha:"one minus dst alpha",dstAlpha:"one"}},stencil:{enable:!1},depth:{enable:!1},count:t.prop("count"),offset:t.prop("offset"),attributes:{charOffset:{offset:4,stride:8,buffer:t.this("sizeBuffer")},width:{offset:0,stride:8,buffer:t.this("sizeBuffer")},char:t.this("charBuffer"),position:t.this("position")},uniforms:{atlasSize:function(t,e){return[e.atlas.width,e.atlas.height]},atlasDim:function(t,e){return[e.atlas.cols,e.atlas.rows]},atlas:function(t,e){return e.atlas.texture},charStep:function(t,e){return e.atlas.step},em:function(t,e){return e.atlas.em},color:t.prop("color"),opacity:t.prop("opacity"),viewport:t.this("viewportArray"),scale:t.this("scale"),align:t.prop("align"),baseline:t.prop("baseline"),translate:t.this("translate"),positionOffset:t.prop("positionOffset")},primitive:"points",viewport:t.this("viewport"),vert:"\n\t\t\tprecision highp float;\n\t\t\tattribute float width, charOffset, char;\n\t\t\tattribute vec2 position;\n\t\t\tuniform float fontSize, charStep, em, align, baseline;\n\t\t\tuniform vec4 viewport;\n\t\t\tuniform vec4 color;\n\t\t\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\n\t\t\tvarying vec2 charCoord, charId;\n\t\t\tvarying float charWidth;\n\t\t\tvarying vec4 fontColor;\n\t\t\tvoid main () {\n\t\t\t\t"+(k.normalViewport?"":"vec2 positionOffset = vec2(positionOffset.x,- positionOffset.y);")+"\n\n\t\t\t\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\n\t\t\t\t\t+ positionOffset))\n\t\t\t\t\t/ (viewport.zw * scale.xy);\n\n\t\t\t\tvec2 position = (position + translate) * scale;\n\t\t\t\tposition += offset * scale;\n\n\t\t\t\t"+(k.normalViewport?"position.y = 1. - position.y;":"")+"\n\n\t\t\t\tcharCoord = position * viewport.zw + viewport.xy;\n\n\t\t\t\tgl_Position = vec4(position * 2. - 1., 0, 1);\n\n\t\t\t\tgl_PointSize = charStep;\n\n\t\t\t\tcharId.x = mod(char, atlasDim.x);\n\t\t\t\tcharId.y = floor(char / atlasDim.x);\n\n\t\t\t\tcharWidth = width * em;\n\n\t\t\t\tfontColor = color / 255.;\n\t\t\t}",frag:"\n\t\t\tprecision highp float;\n\t\t\tuniform sampler2D atlas;\n\t\t\tuniform float fontSize, charStep, opacity;\n\t\t\tuniform vec2 atlasSize;\n\t\t\tuniform vec4 viewport;\n\t\t\tvarying vec4 fontColor;\n\t\t\tvarying vec2 charCoord, charId;\n\t\t\tvarying float charWidth;\n\n\t\t\tfloat lightness(vec4 color) {\n\t\t\t\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\n\t\t\t}\n\n\t\t\tvoid main () {\n\t\t\t\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\n\t\t\t\tfloat halfCharStep = floor(charStep * .5 + .5);\n\n\t\t\t\t// invert y and shift by 1px (FF expecially needs that)\n\t\t\t\tuv.y = charStep - uv.y;\n\n\t\t\t\t// ignore points outside of character bounding box\n\t\t\t\tfloat halfCharWidth = ceil(charWidth * .5);\n\t\t\t\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\n\t\t\t\t\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\n\n\t\t\t\tuv += charId * charStep;\n\t\t\t\tuv = uv / atlasSize;\n\n\t\t\t\tvec4 color = fontColor;\n\t\t\t\tvec4 mask = texture2D(atlas, uv);\n\n\t\t\t\tfloat maskY = lightness(mask);\n\t\t\t\t// float colorY = lightness(color);\n\t\t\t\tcolor.a *= maskY;\n\t\t\t\tcolor.a *= opacity;\n\n\t\t\t\t// color.a += .1;\n\n\t\t\t\t// antialiasing, see yiq color space y-channel formula\n\t\t\t\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\n\n\t\t\t\tgl_FragColor = color;\n\t\t\t}"});return{regl:t,draw:e,atlas:{}}},k.prototype.update=function(t){var e=this;if("string"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:"position positions coord coords coordinates",font:"font fontFace fontface typeface cssFont css-font family fontFamily",fontSize:"fontSize fontsize size font-size",text:"text texts chars characters value values symbols",align:"align alignment textAlign textbaseline",baseline:"baseline textBaseline textbaseline",direction:"dir direction textDirection",color:"color colour fill fill-color fillColor textColor textcolor",kerning:"kerning kern",range:"range dataBox",viewport:"vp viewport viewBox viewbox viewPort",opacity:"opacity alpha transparency visible visibility opaque",offset:"offset positionOffset padding shift indent indentation"},!0)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map(function(t){return parseFloat(t)}):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=h(t.viewport),k.normalViewport&&(this.viewport.y=this.canvas.height-this.viewport.y-this.viewport.height),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&("number"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=y(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=k.baseFontSize+"px sans-serif");var r,a=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach(function(t,r){if("string"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(k.baseFontSize+"px "+t)}else t=n.parse(n.stringify(t));var i=n.stringify({size:k.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&i==e.font[r].baseString||(a=!0,e.font[r]=k.fonts[i],e.font[r]))){var c=t.family.join(", "),u=[t.style];t.style!=t.variant&&u.push(t.variant),t.variant!=t.weight&&u.push(t.weight),_&&t.weight!=t.stretch&&u.push(t.stretch),e.font[r]={baseString:i,family:c,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:m(c,{origin:"top",fontSize:k.baseFontSize,fontStyle:u.join(" ")})},k.fonts[i]=e.font[r]}}),(a||o)&&this.font.forEach(function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)}),"string"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),f=0;f<s.length;f++)s[f]=t.text;t.text=s}if(null!=t.text||a){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join("")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach(function(t,n){k.atlasContext.font=t.baseString;for(var i=e.fontAtlas[n],a=0;a<e.text.length;a++){var o=e.text.charAt(a);if(null==i.ids[o]&&(i.ids[o]=i.chars.length,i.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=k.atlasContext.measureText(o).width/k.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);v(t.kerning,g(t.family,{pairs:s}))}}})}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,T=u.mallocFloat(2*this.count),A=0,M=0;A<this.counts.length;A++){var S=this.counts[A];if(w)for(var E=0;E<S;E++)T[M++]=t.position[2*A],T[M++]=t.position[2*A+1];else for(var C=0;C<S;C++)T[M++]=t.position[A][0],T[M++]=t.position[A][1]}this.position.call?this.position({type:"float",data:T}):this.position=this.regl.buffer({type:"float",data:T}),u.freeFloat(T)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var L=u.mallocUint8(this.count),P=u.mallocFloat(2*this.count);this.textWidth=[];for(var O=0,z=0;O<this.counts.length;O++){for(var I=this.counts[O],D=this.font[O]||this.font[0],R=this.fontAtlas[O]||this.fontAtlas[0],F=0;F<I;F++){var B=this.text.charAt(z),N=this.text.charAt(z-1);if(L[z]=R.ids[B],P[2*z]=D.width[B],F){var j=P[2*z-2],U=P[2*z],V=P[2*z-1]+.5*j+.5*U;if(this.kerning){var q=D.kerning[N+B];q&&(V+=.001*q)}P[2*z+1]=V}else P[2*z+1]=.5*P[2*z];z++}this.textWidth.push(P.length?.5*P[2*z-2]+P[2*z-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:L,type:"uint8",usage:"stream"}),this.sizeBuffer({data:P,type:"float",usage:"stream"}),u.freeUint8(L),u.freeFloat(P),r.length&&this.font.forEach(function(t,r){var n=e.fontAtlas[r],i=n.step,a=Math.floor(k.maxAtlasSize/i),o=Math.min(a,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*i),u=x(s*i);n.width=l,n.height=u,n.rows=s,n.cols=o,n.em&&n.texture({data:c({canvas:k.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,u],step:[i,i]})})})}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map(function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if("number"==typeof n)return n;switch(n){case"right":case"end":return-t;case"center":case"centre":case"middle":return.5*-t}return 0})),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map(function(t,r){var n=(e.font[r]||e.font[0]).metrics,i=0;return i+=.5*n.bottom,i+="number"==typeof t?t-n.baseline:-n[t],k.normalViewport||(i*=-1),i})),null!=t.color)if(t.color||(t.color="transparent"),"string"!=typeof t.color&&isNaN(t.color)){var H;if("number"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;H=u.mallocUint8(G);for(var Y=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)H.set(l(Y(W,W+4),"uint8"),W)}else{var X=t.color.length;H=u.mallocUint8(4*X);for(var Z=0;Z<X;Z++)H.set(l(t.color[Z]||0,"uint8"),4*Z)}this.color=H}else this.color=l(t.color,"uint8");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var J=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(J);for(var K=0;K<this.batch.length;K++)this.batch[K]={count:this.counts.length>1?this.counts[K]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[K]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*K,4*K+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[K]:this.opacity,baseline:null!=this.baselineOffset[K]?this.baselineOffset[K]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[K]?this.alignOffset[K]:this.alignOffset[0]:0,atlas:this.fontAtlas[K]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*K,2*K+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},k.prototype.destroy=function(){},k.prototype.kerning=!0,k.prototype.position={constant:new Float32Array(2)},k.prototype.translate=null,k.prototype.scale=null,k.prototype.font=null,k.prototype.text="",k.prototype.positionOffset=[0,0],k.prototype.opacity=1,k.prototype.color=new Uint8Array([0,0,0,255]),k.prototype.alignOffset=[0,0],k.normalViewport=!1,k.maxAtlasSize=1024,k.atlasCanvas=document.createElement("canvas"),k.atlasContext=k.atlasCanvas.getContext("2d",{alpha:!1}),k.baseFontSize=64,k.fonts={},e.exports=k},{"bit-twiddle":92,"color-normalize":120,"css-font":139,"detect-kerning":166,"es6-weak-map":318,"flatten-vertex-data":227,"font-atlas":228,"font-measure":229,"gl-util/context":323,"is-plain-obj":422,"object-assign":454,"parse-rect":459,"parse-unit":461,"pick-by-alias":465,regl:502,"to-px":539,"typedarray-pool":545}],318:[function(t,e,r){"use strict";e.exports=t("./is-implemented")()?WeakMap:t("./polyfill")},{"./is-implemented":319,"./polyfill":321}],319:[function(t,e,r){"use strict";e.exports=function(){var t,e;if("function"!=typeof WeakMap)return!1;try{t=new WeakMap([[e={},"one"],[{},"two"],[{},"three"]])}catch(t){return!1}return"[object WeakMap]"===String(t)&&("function"==typeof t.set&&(t.set({},1)===t&&("function"==typeof t.delete&&("function"==typeof t.has&&"one"===t.get(e)))))}},{}],320:[function(t,e,r){"use strict";e.exports="function"==typeof WeakMap&&"[object WeakMap]"===Object.prototype.toString.call(new WeakMap)},{}],321:[function(t,e,r){"use strict";var n,i=t("es5-ext/object/is-value"),a=t("es5-ext/object/set-prototype-of"),o=t("es5-ext/object/valid-object"),s=t("es5-ext/object/valid-value"),l=t("es5-ext/string/random-uniq"),c=t("d"),u=t("es6-iterator/get"),h=t("es6-iterator/for-of"),f=t("es6-symbol").toStringTag,p=t("./is-native-implemented"),d=Array.isArray,g=Object.defineProperty,v=Object.prototype.hasOwnProperty,m=Object.getPrototypeOf;e.exports=n=function(){var t,e=arguments[0];if(!(this instanceof n))throw new TypeError("Constructor requires 'new'");return t=p&&a&&WeakMap!==n?a(new 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Use headless-gl.");t.container=document.body||document.documentElement,t.canvas=o(),t.container.appendChild(t.canvas),i(t)}if(!t.gl)try{t.gl=t.canvas.getContext("webgl",t.attrs)}catch(e){try{t.gl=t.canvas.getContext("experimental-webgl",t.attrs)}catch(e){t.gl=t.canvas.getContext("webgl-experimental",t.attrs)}}return t.gl}}).call(this,"undefined"!=typeof global?global:"undefined"!=typeof self?self:"undefined"!=typeof window?window:{})},{"pick-by-alias":465}],324:[function(t,e,r){"use strict";e.exports=function(t,e,r){e?e.bind():t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,null);var n=0|t.getParameter(t.MAX_VERTEX_ATTRIBS);if(r){if(r.length>n)throw new Error("gl-vao: Too many vertex attributes");for(var i=0;i<r.length;++i){var a=r[i];if(a.buffer){var o=a.buffer,s=a.size||4,l=a.type||t.FLOAT,c=!!a.normalized,u=a.stride||0,h=a.offset||0;o.bind(),t.enableVertexAttribArray(i),t.vertexAttribPointer(i,s,l,c,u,h)}else{if("number"==typeof a)t.vertexAttrib1f(i,a);else 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Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(ai);di.prototype.bytesPerElement=12,kn("StructArrayLayout3f12",di);var gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(ai);gi.prototype.bytesPerElement=4,kn("StructArrayLayout1ul4",gi);var vi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,c,u)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,h){var f=12*t,p=6*t;return this.int16[f+0]=e,this.int16[f+1]=r,this.int16[f+2]=n,this.int16[f+3]=i,this.int16[f+4]=a,this.int16[f+5]=o,this.uint32[p+3]=s,this.uint16[f+8]=l,this.uint16[f+9]=c,this.int16[f+10]=u,this.int16[f+11]=h,t},e}(ai);vi.prototype.bytesPerElement=24,kn("StructArrayLayout6i1ul2ui2i24",vi);var mi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(ai);mi.prototype.bytesPerElement=12,kn("StructArrayLayout2i2i2i12",mi);var yi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(ai);yi.prototype.bytesPerElement=12,kn("StructArrayLayout2ub2f12",yi);var xi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d){var g=this.length;return this.resize(g+1),this.emplace(g,t,e,r,n,i,a,o,s,l,c,u,h,f,p,d)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,g){var v=22*t,m=11*t,y=44*t;return this.int16[v+0]=e,this.int16[v+1]=r,this.uint16[v+2]=n,this.uint16[v+3]=i,this.uint32[m+2]=a,this.uint32[m+3]=o,this.uint32[m+4]=s,this.uint16[v+10]=l,this.uint16[v+11]=c,this.uint16[v+12]=u,this.float32[m+7]=h,this.float32[m+8]=f,this.uint8[y+36]=p,this.uint8[y+37]=d,this.uint32[m+10]=g,t},e}(ai);xi.prototype.bytesPerElement=44,kn("StructArrayLayout2i2ui3ul3ui2f2ub1ul44",xi);var bi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,g,v,m){var y=this.length;return this.resize(y+1),this.emplace(y,t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,g,v,m)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,g,v,m,y){var x=22*t,b=11*t;return this.int16[x+0]=e,this.int16[x+1]=r,this.int16[x+2]=n,this.int16[x+3]=i,this.int16[x+4]=a,this.int16[x+5]=o,this.uint16[x+6]=s,this.uint16[x+7]=l,this.uint16[x+8]=c,this.uint16[x+9]=u,this.uint16[x+10]=h,this.uint16[x+11]=f,this.uint16[x+12]=p,this.uint16[x+13]=d,this.uint16[x+14]=g,this.uint32[b+8]=v,this.float32[b+9]=m,this.float32[b+10]=y,t},e}(ai);bi.prototype.bytesPerElement=44,kn("StructArrayLayout6i9ui1ul2f44",bi);var _i=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(ai);_i.prototype.bytesPerElement=4,kn("StructArrayLayout1f4",_i);var wi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(ai);wi.prototype.bytesPerElement=6,kn("StructArrayLayout3i6",wi);var ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(ai);ki.prototype.bytesPerElement=8,kn("StructArrayLayout1ul2ui8",ki);var Ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(ai);Ti.prototype.bytesPerElement=6,kn("StructArrayLayout3ui6",Ti);var Ai=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(ai);Ai.prototype.bytesPerElement=4,kn("StructArrayLayout2ui4",Ai);var Mi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint16[r+0]=e,t},e}(ai);Mi.prototype.bytesPerElement=2,kn("StructArrayLayout1ui2",Mi);var Si=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(ai);Si.prototype.bytesPerElement=8,kn("StructArrayLayout2f8",Si);var Ei=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(ai);Ei.prototype.bytesPerElement=16,kn("StructArrayLayout4f16",Ei);var Ci=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},radius:{configurable:!0},signedDistanceFromAnchor:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointX.set=function(t){this._structArray.int16[this._pos2+0]=t},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.anchorPointY.set=function(t){this._structArray.int16[this._pos2+1]=t},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.x1.set=function(t){this._structArray.int16[this._pos2+2]=t},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.y1.set=function(t){this._structArray.int16[this._pos2+3]=t},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.x2.set=function(t){this._structArray.int16[this._pos2+4]=t},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.y2.set=function(t){this._structArray.int16[this._pos2+5]=t},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.featureIndex.set=function(t){this._structArray.uint32[this._pos4+3]=t},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.sourceLayerIndex.set=function(t){this._structArray.uint16[this._pos2+8]=t},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.bucketIndex.set=function(t){this._structArray.uint16[this._pos2+9]=t},r.radius.get=function(){return this._structArray.int16[this._pos2+10]},r.radius.set=function(t){this._structArray.int16[this._pos2+10]=t},r.signedDistanceFromAnchor.get=function(){return this._structArray.int16[this._pos2+11]},r.signedDistanceFromAnchor.set=function(t){this._structArray.int16[this._pos2+11]=t},r.anchorPoint.get=function(){return new i(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(ii);Ci.prototype.size=24;var Li=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new Ci(this,t)},e}(vi);kn("CollisionBoxArray",Li);var Pi=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},glyphStartIndex:{configurable:!0},numGlyphs:{configurable:!0},vertexStartIndex:{configurable:!0},lineStartIndex:{configurable:!0},lineLength:{configurable:!0},segment:{configurable:!0},lowerSize:{configurable:!0},upperSize:{configurable:!0},lineOffsetX:{configurable:!0},lineOffsetY:{configurable:!0},writingMode:{configurable:!0},hidden:{configurable:!0},crossTileID:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorX.set=function(t){this._structArray.int16[this._pos2+0]=t},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.anchorY.set=function(t){this._structArray.int16[this._pos2+1]=t},r.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.glyphStartIndex.set=function(t){this._structArray.uint16[this._pos2+2]=t},r.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},r.numGlyphs.set=function(t){this._structArray.uint16[this._pos2+3]=t},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.vertexStartIndex.set=function(t){this._structArray.uint32[this._pos4+2]=t},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineStartIndex.set=function(t){this._structArray.uint32[this._pos4+3]=t},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.lineLength.set=function(t){this._structArray.uint32[this._pos4+4]=t},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.segment.set=function(t){this._structArray.uint16[this._pos2+10]=t},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.lowerSize.set=function(t){this._structArray.uint16[this._pos2+11]=t},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.upperSize.set=function(t){this._structArray.uint16[this._pos2+12]=t},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetX.set=function(t){this._structArray.float32[this._pos4+7]=t},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.lineOffsetY.set=function(t){this._structArray.float32[this._pos4+8]=t},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.writingMode.set=function(t){this._structArray.uint8[this._pos1+36]=t},r.hidden.get=function(){return this._structArray.uint8[this._pos1+37]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+37]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},Object.defineProperties(e.prototype,r),e}(ii);Pi.prototype.size=44;var Oi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new Pi(this,t)},e}(xi);kn("PlacedSymbolArray",Oi);var zi=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},radialTextOffset:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorX.set=function(t){this._structArray.int16[this._pos2+0]=t},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.anchorY.set=function(t){this._structArray.int16[this._pos2+1]=t},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.rightJustifiedTextSymbolIndex.set=function(t){this._structArray.int16[this._pos2+2]=t},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.centerJustifiedTextSymbolIndex.set=function(t){this._structArray.int16[this._pos2+3]=t},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.leftJustifiedTextSymbolIndex.set=function(t){this._structArray.int16[this._pos2+4]=t},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.verticalPlacedTextSymbolIndex.set=function(t){this._structArray.int16[this._pos2+5]=t},r.key.get=function(){return this._structArray.uint16[this._pos2+6]},r.key.set=function(t){this._structArray.uint16[this._pos2+6]=t},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+7]},r.textBoxStartIndex.set=function(t){this._structArray.uint16[this._pos2+7]=t},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxEndIndex.set=function(t){this._structArray.uint16[this._pos2+8]=t},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.iconBoxStartIndex.set=function(t){this._structArray.uint16[this._pos2+9]=t},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.iconBoxEndIndex.set=function(t){this._structArray.uint16[this._pos2+10]=t},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+11]},r.featureIndex.set=function(t){this._structArray.uint16[this._pos2+11]=t},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+12]},r.numHorizontalGlyphVertices.set=function(t){this._structArray.uint16[this._pos2+12]=t},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+13]},r.numVerticalGlyphVertices.set=function(t){this._structArray.uint16[this._pos2+13]=t},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+14]},r.numIconVertices.set=function(t){this._structArray.uint16[this._pos2+14]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+8]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+8]=t},r.textBoxScale.get=function(){return this._structArray.float32[this._pos4+9]},r.textBoxScale.set=function(t){this._structArray.float32[this._pos4+9]=t},r.radialTextOffset.get=function(){return this._structArray.float32[this._pos4+10]},r.radialTextOffset.set=function(t){this._structArray.float32[this._pos4+10]=t},Object.defineProperties(e.prototype,r),e}(ii);zi.prototype.size=44;var Ii=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new zi(this,t)},e}(bi);kn("SymbolInstanceArray",Ii);var Di=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={offsetX:{configurable:!0}};return r.offsetX.get=function(){return this._structArray.float32[this._pos4+0]},r.offsetX.set=function(t){this._structArray.float32[this._pos4+0]=t},Object.defineProperties(e.prototype,r),e}(ii);Di.prototype.size=4;var Ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getoffsetX=function(t){return this.float32[1*t+0]},e.prototype.get=function(t){return new Di(this,t)},e}(_i);kn("GlyphOffsetArray",Ri);var Fi=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={x:{configurable:!0},y:{configurable:!0},tileUnitDistanceFromAnchor:{configurable:!0}};return r.x.get=function(){return this._structArray.int16[this._pos2+0]},r.x.set=function(t){this._structArray.int16[this._pos2+0]=t},r.y.get=function(){return this._structArray.int16[this._pos2+1]},r.y.set=function(t){this._structArray.int16[this._pos2+1]=t},r.tileUnitDistanceFromAnchor.get=function(){return this._structArray.int16[this._pos2+2]},r.tileUnitDistanceFromAnchor.set=function(t){this._structArray.int16[this._pos2+2]=t},Object.defineProperties(e.prototype,r),e}(ii);Fi.prototype.size=6;var Bi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getx=function(t){return this.int16[3*t+0]},e.prototype.gety=function(t){return this.int16[3*t+1]},e.prototype.gettileUnitDistanceFromAnchor=function(t){return this.int16[3*t+2]},e.prototype.get=function(t){return new Fi(this,t)},e}(wi);kn("SymbolLineVertexArray",Bi);var Ni=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0}};return r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+0]},r.featureIndex.set=function(t){this._structArray.uint32[this._pos4+0]=t},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.sourceLayerIndex.set=function(t){this._structArray.uint16[this._pos2+2]=t},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+3]},r.bucketIndex.set=function(t){this._structArray.uint16[this._pos2+3]=t},Object.defineProperties(e.prototype,r),e}(ii);Ni.prototype.size=8;var ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new Ni(this,t)},e}(ki);kn("FeatureIndexArray",ji);var Ui=oi([{name:"a_pos",components:2,type:"Int16"}],4).members,Vi=function(t){void 0===t&&(t=[]),this.segments=t};function qi(t,e){return 256*(t=c(Math.floor(t),0,255))+c(Math.floor(e),0,255)}Vi.prototype.prepareSegment=function(t,e,r,n){var i=this.segments[this.segments.length-1];return t>Vi.MAX_VERTEX_ARRAY_LENGTH&&w("Max vertices per segment is "+Vi.MAX_VERTEX_ARRAY_LENGTH+": bucket requested "+t),(!i||i.vertexLength+t>Vi.MAX_VERTEX_ARRAY_LENGTH||i.sortKey!==n)&&(i={vertexOffset:e.length,primitiveOffset:r.length,vertexLength:0,primitiveLength:0},void 0!==n&&(i.sortKey=n),this.segments.push(i)),i},Vi.prototype.get=function(){return this.segments},Vi.prototype.destroy=function(){for(var t=0,e=this.segments;t<e.length;t+=1){var r=e[t];for(var n in r.vaos)r.vaos[n].destroy()}},Vi.simpleSegment=function(t,e,r,n){return new Vi([{vertexOffset:t,primitiveOffset:e,vertexLength:r,primitiveLength:n,vaos:{},sortKey:0}])},Vi.MAX_VERTEX_ARRAY_LENGTH=Math.pow(2,16)-1,kn("SegmentVector",Vi);var Hi=function(){this.ids=[],this.positions=[],this.indexed=!1};function Gi(t,e,r){var n=t[e];t[e]=t[r],t[r]=n}Hi.prototype.add=function(t,e,r,n){this.ids.push(t),this.positions.push(e,r,n)},Hi.prototype.getPositions=function(t){for(var e=0,r=this.ids.length-1;e<r;){var n=e+r>>1;this.ids[n]>=t?r=n:e=n+1}for(var i=[];this.ids[e]===t;){var a=this.positions[3*e],o=this.positions[3*e+1],s=this.positions[3*e+2];i.push({index:a,start:o,end:s}),e++}return i},Hi.serialize=function(t,e){var r=new Float64Array(t.ids),n=new Uint32Array(t.positions);return function t(e,r,n,i){if(!(n>=i)){for(var a=e[n+i>>1],o=n-1,s=i+1;;){do{o++}while(e[o]<a);do{s--}while(e[s]>a);if(o>=s)break;Gi(e,o,s),Gi(r,3*o,3*s),Gi(r,3*o+1,3*s+1),Gi(r,3*o+2,3*s+2)}t(e,r,n,s),t(e,r,s+1,i)}}(r,n,0,r.length-1),e.push(r.buffer,n.buffer),{ids:r,positions:n}},Hi.deserialize=function(t){var e=new Hi;return e.ids=t.ids,e.positions=t.positions,e.indexed=!0,e},kn("FeaturePositionMap",Hi);var Yi=function(t,e){this.gl=t.gl,this.location=e},Wi=function(t){function e(e,r){t.call(this,e,r),this.current=0}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){this.current!==t&&(this.current=t,this.gl.uniform1i(this.location,t))},e}(Yi),Xi=function(t){function e(e,r){t.call(this,e,r),this.current=0}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){this.current!==t&&(this.current=t,this.gl.uniform1f(this.location,t))},e}(Yi),Zi=function(t){function 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e=1;e<16;e++)if(t[e]!==this.current[e]){this.current=t,this.gl.uniformMatrix4fv(this.location,!1,t);break}},e}(Yi);function ea(t){return[qi(255*t.r,255*t.g),qi(255*t.b,255*t.a)]}var ra=function(t,e,r){this.value=t,this.names=e,this.uniformNames=this.names.map(function(t){return"u_"+t}),this.type=r,this.maxValue=-1/0};ra.prototype.defines=function(){return this.names.map(function(t){return"#define HAS_UNIFORM_u_"+t})},ra.prototype.setConstantPatternPositions=function(){},ra.prototype.populatePaintArray=function(){},ra.prototype.updatePaintArray=function(){},ra.prototype.upload=function(){},ra.prototype.destroy=function(){},ra.prototype.setUniforms=function(t,e,r,n){e.set(n.constantOr(this.value))},ra.prototype.getBinding=function(t,e){return"color"===this.type?new $i(t,e):new Xi(t,e)},ra.serialize=function(t){var e=t.value,r=t.names,n=t.type;return{value:An(e),names:r,type:n}},ra.deserialize=function(t){var e=t.value,r=t.names,n=t.type;return new ra(Mn(e),r,n)};var na=function(t,e,r){this.value=t,this.names=e,this.uniformNames=this.names.map(function(t){return"u_"+t}),this.type=r,this.maxValue=-1/0,this.patternPositions={patternTo:null,patternFrom:null}};na.prototype.defines=function(){return this.names.map(function(t){return"#define HAS_UNIFORM_u_"+t})},na.prototype.populatePaintArray=function(){},na.prototype.updatePaintArray=function(){},na.prototype.upload=function(){},na.prototype.destroy=function(){},na.prototype.setConstantPatternPositions=function(t,e){this.patternPositions.patternTo=t.tlbr,this.patternPositions.patternFrom=e.tlbr},na.prototype.setUniforms=function(t,e,r,n,i){var a=this.patternPositions;"u_pattern_to"===i&&a.patternTo&&e.set(a.patternTo),"u_pattern_from"===i&&a.patternFrom&&e.set(a.patternFrom)},na.prototype.getBinding=function(t,e){return new Ki(t,e)};var ia=function(t,e,r,n){this.expression=t,this.names=e,this.type=r,this.uniformNames=this.names.map(function(t){return"a_"+t}),this.maxValue=-1/0,this.paintVertexAttributes=e.map(function(t){return{name:"a_"+t,type:"Float32",components:"color"===r?2:1,offset:0}}),this.paintVertexArray=new n};ia.prototype.defines=function(){return[]},ia.prototype.setConstantPatternPositions=function(){},ia.prototype.populatePaintArray=function(t,e){var r=this.paintVertexArray,n=r.length;r.reserve(t);var i=this.expression.evaluate(new Un(0),e,{});if("color"===this.type)for(var a=ea(i),o=n;o<t;o++)r.emplaceBack(a[0],a[1]);else{for(var s=n;s<t;s++)r.emplaceBack(i);this.maxValue=Math.max(this.maxValue,i)}},ia.prototype.updatePaintArray=function(t,e,r,n){var i=this.paintVertexArray,a=this.expression.evaluate({zoom:0},r,n);if("color"===this.type)for(var o=ea(a),s=t;s<e;s++)i.emplace(s,o[0],o[1]);else{for(var l=t;l<e;l++)i.emplace(l,a);this.maxValue=Math.max(this.maxValue,a)}},ia.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},ia.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},ia.prototype.setUniforms=function(t,e){e.set(0)},ia.prototype.getBinding=function(t,e){return new Xi(t,e)};var aa=function(t,e,r,n,i,a){this.expression=t,this.names=e,this.uniformNames=this.names.map(function(t){return"u_"+t+"_t"}),this.type=r,this.useIntegerZoom=n,this.zoom=i,this.maxValue=-1/0;var o=a;this.paintVertexAttributes=e.map(function(t){return{name:"a_"+t,type:"Float32",components:"color"===r?4:2,offset:0}}),this.paintVertexArray=new o};aa.prototype.defines=function(){return[]},aa.prototype.setConstantPatternPositions=function(){},aa.prototype.populatePaintArray=function(t,e){var r=this.paintVertexArray,n=r.length;r.reserve(t);var i=this.expression.evaluate(new Un(this.zoom),e,{}),a=this.expression.evaluate(new Un(this.zoom+1),e,{});if("color"===this.type)for(var o=ea(i),s=ea(a),l=n;l<t;l++)r.emplaceBack(o[0],o[1],s[0],s[1]);else{for(var c=n;c<t;c++)r.emplaceBack(i,a);this.maxValue=Math.max(this.maxValue,i,a)}},aa.prototype.updatePaintArray=function(t,e,r,n){var i=this.paintVertexArray,a=this.expression.evaluate({zoom:this.zoom},r,n),o=this.expression.evaluate({zoom:this.zoom+1},r,n);if("color"===this.type)for(var s=ea(a),l=ea(o),c=t;c<e;c++)i.emplace(c,s[0],s[1],l[0],l[1]);else{for(var u=t;u<e;u++)i.emplace(u,a,o);this.maxValue=Math.max(this.maxValue,a,o)}},aa.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},aa.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},aa.prototype.interpolationFactor=function(t){return this.useIntegerZoom?this.expression.interpolationFactor(Math.floor(t),this.zoom,this.zoom+1):this.expression.interpolationFactor(t,this.zoom,this.zoom+1)},aa.prototype.setUniforms=function(t,e,r){e.set(this.interpolationFactor(r.zoom))},aa.prototype.getBinding=function(t,e){return new Xi(t,e)};var oa=function(t,e,r,n,i,a,o){this.expression=t,this.names=e,this.type=r,this.uniformNames=this.names.map(function(t){return"u_"+t+"_t"}),this.useIntegerZoom=n,this.zoom=i,this.maxValue=-1/0,this.layerId=o,this.paintVertexAttributes=e.map(function(t){return{name:"a_"+t,type:"Uint16",components:4,offset:0}}),this.zoomInPaintVertexArray=new a,this.zoomOutPaintVertexArray=new a};oa.prototype.defines=function(){return[]},oa.prototype.setConstantPatternPositions=function(){},oa.prototype.populatePaintArray=function(t,e,r){var n=this.zoomInPaintVertexArray,i=this.zoomOutPaintVertexArray,a=this.layerId,o=n.length;if(n.reserve(t),i.reserve(t),r&&e.patterns&&e.patterns[a]){var s=e.patterns[a],l=s.min,c=s.mid,u=s.max,h=r[l],f=r[c],p=r[u];if(!h||!f||!p)return;for(var d=o;d<t;d++)n.emplaceBack(f.tl[0],f.tl[1],f.br[0],f.br[1],h.tl[0],h.tl[1],h.br[0],h.br[1]),i.emplaceBack(f.tl[0],f.tl[1],f.br[0],f.br[1],p.tl[0],p.tl[1],p.br[0],p.br[1])}},oa.prototype.updatePaintArray=function(t,e,r,n,i){var a=this.zoomInPaintVertexArray,o=this.zoomOutPaintVertexArray,s=this.layerId;if(i&&r.patterns&&r.patterns[s]){var l=r.patterns[s],c=l.min,u=l.mid,h=l.max,f=i[c],p=i[u],d=i[h];if(!f||!p||!d)return;for(var g=t;g<e;g++)a.emplace(g,p.tl[0],p.tl[1],p.br[0],p.br[1],f.tl[0],f.tl[1],f.br[0],f.br[1]),o.emplace(g,p.tl[0],p.tl[1],p.br[0],p.br[1],d.tl[0],d.tl[1],d.br[0],d.br[1])}},oa.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},oa.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()},oa.prototype.setUniforms=function(t,e){e.set(0)},oa.prototype.getBinding=function(t,e){return new Xi(t,e)};var sa=function(){this.binders={},this.cacheKey="",this._buffers=[],this._featureMap=new 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2:for(n=0;n<l.length;n++)u(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=Fo(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}return r&&i.push(r),i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)u(l[n][i])}1===l.length?l=l[0]:c="Multi"+c;var f={type:"Feature",geometry:{type:c,coordinates:l},properties:this.properties};return"id"in this&&(f.id=this.id),f};var Bo=No;function No(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields(jo,this,e),this.length=this._features.length}function jo(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){for(var e=null,r=t.readVarint()+t.pos;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Uo(t,e,r){if(3===t){var n=new Bo(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}No.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error("feature index out of bounds");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new Io(this._pbf,e,this.extent,this._keys,this._values)};var Vo={VectorTile:function(t,e){this.layers=t.readFields(Uo,{},e)},VectorTileFeature:Io,VectorTileLayer:Bo},qo=Vo.VectorTileFeature.types,Ho=Math.pow(2,13);function Go(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*Ho)+o,i*Ho*2,a*Ho*2,Math.round(s))}var Yo=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map(function(t){return t.id}),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new ui,this.indexArray=new Ti,this.programConfigurations=new la(zo,t.layers,t.zoom),this.segments=new Vi,this.stateDependentLayerIds=this.layers.filter(function(t){return t.isStateDependent()}).map(function(t){return t.id})};function Wo(t,e){return t.x===e.x&&(t.x<0||t.x>ha)||t.y===e.y&&(t.y<0||t.y>ha)}function Xo(t){return t.every(function(t){return t.x<0})||t.every(function(t){return t.x>ha})||t.every(function(t){return t.y<0})||t.every(function(t){return t.y>ha})}Yo.prototype.populate=function(t,e){this.features=[],this.hasPattern=Eo("fill-extrusion",this.layers,e);for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.feature,o=i.index,s=i.sourceLayerIndex;if(this.layers[0]._featureFilter(new Un(this.zoom),a)){var l=pa(a),c={sourceLayerIndex:s,index:o,geometry:l,properties:a.properties,type:a.type,patterns:{}};void 0!==a.id&&(c.id=a.id),this.hasPattern?this.features.push(Co("fill-extrusion",this.layers,c,this.zoom,e)):this.addFeature(c,l,o,{}),e.featureIndex.insert(a,l,o,s,this.index,!0)}}},Yo.prototype.addFeatures=function(t,e){for(var r=0,n=this.features;r<n.length;r+=1){var i=n[r],a=i.geometry;this.addFeature(i,a,i.index,e)}},Yo.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Yo.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Yo.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Yo.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,zo),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Yo.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Yo.prototype.addFeature=function(t,e,r,n){for(var i=0,a=Mo(e,500);i<a.length;i+=1){for(var o=a[i],s=0,l=0,c=o;l<c.length;l+=1)s+=c[l].length;for(var u=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,f=o;h<f.length;h+=1){var p=f[h];if(0!==p.length&&!Xo(p))for(var d=0,g=0;g<p.length;g++){var v=p[g];if(g>=1){var m=p[g-1];if(!Wo(v,m)){u.vertexLength+4>Vi.MAX_VERTEX_ARRAY_LENGTH&&(u=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var y=v.sub(m)._perp()._unit(),x=m.dist(v);d+x>32768&&(d=0),Go(this.layoutVertexArray,v.x,v.y,y.x,y.y,0,0,d),Go(this.layoutVertexArray,v.x,v.y,y.x,y.y,0,1,d),d+=x,Go(this.layoutVertexArray,m.x,m.y,y.x,y.y,0,0,d),Go(this.layoutVertexArray,m.x,m.y,y.x,y.y,0,1,d);var b=u.vertexLength;this.indexArray.emplaceBack(b,b+2,b+1),this.indexArray.emplaceBack(b+1,b+2,b+3),u.vertexLength+=4,u.primitiveLength+=2}}}}if(u.vertexLength+s>Vi.MAX_VERTEX_ARRAY_LENGTH&&(u=this.segments.prepareSegment(s,this.layoutVertexArray,this.indexArray)),"Polygon"===qo[t.type]){for(var _=[],w=[],k=u.vertexLength,T=0,A=o;T<A.length;T+=1){var M=A[T];if(0!==M.length){M!==o[0]&&w.push(_.length/2);for(var S=0;S<M.length;S++){var E=M[S];Go(this.layoutVertexArray,E.x,E.y,0,0,1,1,0),_.push(E.x),_.push(E.y)}}}for(var C=Ka(_,w),L=0;L<C.length;L+=3)this.indexArray.emplaceBack(k+C[L],k+C[L+2],k+C[L+1]);u.primitiveLength+=C.length/3,u.vertexLength+=s}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,n)},kn("FillExtrusionBucket",Yo,{omit:["layers","features"]});var Zo={paint:new ei({"fill-extrusion-opacity":new Jn(It["paint_fill-extrusion"]["fill-extrusion-opacity"]),"fill-extrusion-color":new Kn(It["paint_fill-extrusion"]["fill-extrusion-color"]),"fill-extrusion-translate":new Jn(It["paint_fill-extrusion"]["fill-extrusion-translate"]),"fill-extrusion-translate-anchor":new Jn(It["paint_fill-extrusion"]["fill-extrusion-translate-anchor"]),"fill-extrusion-pattern":new $n(It["paint_fill-extrusion"]["fill-extrusion-pattern"]),"fill-extrusion-height":new Kn(It["paint_fill-extrusion"]["fill-extrusion-height"]),"fill-extrusion-base":new Kn(It["paint_fill-extrusion"]["fill-extrusion-base"]),"fill-extrusion-vertical-gradient":new Jn(It["paint_fill-extrusion"]["fill-extrusion-vertical-gradient"])})},Jo=function(t){function e(e){t.call(this,e,Zo)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new Yo(t)},e.prototype.queryRadius=function(){return Ea(this.paint.get("fill-extrusion-translate"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,a,o,s,l){var c=Ca(t,this.paint.get("fill-extrusion-translate"),this.paint.get("fill-extrusion-translate-anchor"),o.angle,s),u=this.paint.get("fill-extrusion-height").evaluate(e,r),h=this.paint.get("fill-extrusion-base").evaluate(e,r),f=function(t,e,r,n){for(var a=[],o=0,s=t;o<s.length;o+=1){var l=s[o],c=[l.x,l.y,0,1];Da(c,c,e),a.push(new i(c[0]/c[3],c[1]/c[3]))}return a}(c,l),p=function(t,e,r,n){for(var a=[],o=[],s=n[8]*e,l=n[9]*e,c=n[10]*e,u=n[11]*e,h=n[8]*r,f=n[9]*r,p=n[10]*r,d=n[11]*r,g=0,v=t;g<v.length;g+=1){for(var m=[],y=[],x=0,b=v[g];x<b.length;x+=1){var _=b[x],w=_.x,k=_.y,T=n[0]*w+n[4]*k+n[12],A=n[1]*w+n[5]*k+n[13],M=n[2]*w+n[6]*k+n[14],S=n[3]*w+n[7]*k+n[15],E=M+c,C=S+u,L=T+h,P=A+f,O=M+p,z=S+d,I=new i((T+s)/C,(A+l)/C);I.z=E/C,m.push(I);var D=new i(L/z,P/z);D.z=O/z,y.push(D)}a.push(m),o.push(y)}return[a,o]}(n,h,u,l);return function(t,e,r){var n=1/0;ya(r,e)&&(n=$o(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],c=a[s+1],u=o[s],h=[l,c,o[s+1],u,l];va(r,h)&&(n=Math.min(n,$o(r,h)))}return n!==1/0&&n}(p[0],p[1],f)},e}(ri);function Ko(t,e){return t.x*e.x+t.y*e.y}function $o(t,e){if(1===t.length){var r=e[0],n=e[1],i=e[3],a=t[0],o=n.sub(r),s=i.sub(r),l=a.sub(r),c=Ko(o,o),u=Ko(o,s),h=Ko(s,s),f=Ko(l,o),p=Ko(l,s),d=c*h-u*u,g=(h*f-u*p)/d,v=(c*p-u*f)/d,m=1-g-v;return r.z*m+n.z*g+i.z*v}for(var y=1/0,x=0,b=e;x<b.length;x+=1){var _=b[x];y=Math.min(y,_.z)}return y}var Qo=oi([{name:"a_pos_normal",components:2,type:"Int16"},{name:"a_data",components:4,type:"Uint8"}],4).members,ts=Vo.VectorTileFeature.types,es=63,rs=Math.cos(Math.PI/180*37.5),ns=.5,is=Math.pow(2,14)/ns;function as(t,e,r,n,i,a,o){t.emplaceBack((e.x<<1)+(n?1:0),(e.y<<1)+(i?1:0),Math.round(es*r.x)+128,Math.round(es*r.y)+128,1+(0===a?0:a<0?-1:1)|(o*ns&63)<<2,o*ns>>6)}var os=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map(function(t){return t.id}),this.index=t.index,this.features=[],this.hasPattern=!1,this.layoutVertexArray=new hi,this.indexArray=new Ti,this.programConfigurations=new la(Qo,t.layers,t.zoom),this.segments=new Vi,this.stateDependentLayerIds=this.layers.filter(function(t){return t.isStateDependent()}).map(function(t){return t.id})};function ss(t,e){return(t/e.tileTotal*(e.end-e.start)+e.start)*(is-1)}os.prototype.populate=function(t,e){this.features=[],this.hasPattern=Eo("line",this.layers,e);for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.feature,o=i.index,s=i.sourceLayerIndex;if(this.layers[0]._featureFilter(new Un(this.zoom),a)){var l=pa(a),c={sourceLayerIndex:s,index:o,geometry:l,properties:a.properties,type:a.type,patterns:{}};void 0!==a.id&&(c.id=a.id),this.hasPattern?this.features.push(Co("line",this.layers,c,this.zoom,e)):this.addFeature(c,l,o,{}),e.featureIndex.insert(a,l,o,s,this.index)}}},os.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},os.prototype.addFeatures=function(t,e){for(var r=0,n=this.features;r<n.length;r+=1){var i=n[r],a=i.geometry;this.addFeature(i,a,i.index,e)}},os.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},os.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},os.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Qo),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},os.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},os.prototype.addFeature=function(t,e,r,n){for(var i=this.layers[0].layout,a=i.get("line-join").evaluate(t,{}),o=i.get("line-cap"),s=i.get("line-miter-limit"),l=i.get("line-round-limit"),c=0,u=e;c<u.length;c+=1){var h=u[c];this.addLine(h,t,a,o,s,l,r,n)}},os.prototype.addLine=function(t,e,r,n,i,a,o,s){var l=null;e.properties&&e.properties.hasOwnProperty("mapbox_clip_start")&&e.properties.hasOwnProperty("mapbox_clip_end")&&(l={start:e.properties.mapbox_clip_start,end:e.properties.mapbox_clip_end,tileTotal:void 0});for(var c="Polygon"===ts[e.type],u=t.length;u>=2&&t[u-1].equals(t[u-2]);)u--;for(var h=0;h<u-1&&t[h].equals(t[h+1]);)h++;if(!(u<(c?3:2))){l&&(l.tileTotal=function(t,e,r){for(var n,i,a=0,o=h;o<r-1;o++)n=t[o],i=t[o+1],a+=n.dist(i);return a}(t,0,u)),"bevel"===r&&(i=1.05);var f=ha/(512*this.overscaling)*15,p=t[h],d=this.segments.prepareSegment(10*u,this.layoutVertexArray,this.indexArray);this.distance=0;var g,v,m,y=n,x=c?"butt":n,b=!0,_=void 0,w=void 0,k=void 0,T=void 0;this.e1=this.e2=this.e3=-1,c&&(g=t[u-2],T=p.sub(g)._unit()._perp());for(var A=h;A<u;A++)if(!(w=c&&A===u-1?t[h+1]:t[A+1])||!t[A].equals(w)){T&&(k=T),g&&(_=g),g=t[A],T=w?w.sub(g)._unit()._perp():k;var M=(k=k||T).add(T);0===M.x&&0===M.y||M._unit();var S=M.x*T.x+M.y*T.y,E=0!==S?1/S:1/0,C=S<rs&&_&&w;if(C&&A>h){var L=g.dist(_);if(L>2*f){var P=g.sub(g.sub(_)._mult(f/L)._round());this.distance+=P.dist(_),this.addCurrentVertex(P,this.distance,k.mult(1),0,0,!1,d,l),_=P}}var O=_&&w,z=O?r:w?y:x;if(O&&"round"===z&&(E<a?z="miter":E<=2&&(z="fakeround")),"miter"===z&&E>i&&(z="bevel"),"bevel"===z&&(E>2&&(z="flipbevel"),E<i&&(z="miter")),_&&(this.distance+=g.dist(_)),"miter"===z)M._mult(E),this.addCurrentVertex(g,this.distance,M,0,0,!1,d,l);else if("flipbevel"===z){if(E>100)M=T.clone().mult(-1);else{var I=k.x*T.y-k.y*T.x>0?-1:1,D=E*k.add(T).mag()/k.sub(T).mag();M._perp()._mult(D*I)}this.addCurrentVertex(g,this.distance,M,0,0,!1,d,l),this.addCurrentVertex(g,this.distance,M.mult(-1),0,0,!1,d,l)}else if("bevel"===z||"fakeround"===z){var R=k.x*T.y-k.y*T.x>0,F=-Math.sqrt(E*E-1);if(R?(m=0,v=F):(v=0,m=F),b||this.addCurrentVertex(g,this.distance,k,v,m,!1,d,l),"fakeround"===z){for(var B=Math.floor(8*(.5-(S-.5))),N=void 0,j=0;j<B;j++)N=T.mult((j+1)/(B+1))._add(k)._unit(),this.addPieSliceVertex(g,this.distance,N,R,d,l);this.addPieSliceVertex(g,this.distance,M,R,d,l);for(var U=B-1;U>=0;U--)N=k.mult((U+1)/(B+1))._add(T)._unit(),this.addPieSliceVertex(g,this.distance,N,R,d,l)}w&&this.addCurrentVertex(g,this.distance,T,-v,-m,!1,d,l)}else"butt"===z?(b||this.addCurrentVertex(g,this.distance,k,0,0,!1,d,l),w&&this.addCurrentVertex(g,this.distance,T,0,0,!1,d,l)):"square"===z?(b||(this.addCurrentVertex(g,this.distance,k,1,1,!1,d,l),this.e1=this.e2=-1),w&&this.addCurrentVertex(g,this.distance,T,-1,-1,!1,d,l)):"round"===z&&(b||(this.addCurrentVertex(g,this.distance,k,0,0,!1,d,l),this.addCurrentVertex(g,this.distance,k,1,1,!0,d,l),this.e1=this.e2=-1),w&&(this.addCurrentVertex(g,this.distance,T,-1,-1,!0,d,l),this.addCurrentVertex(g,this.distance,T,0,0,!1,d,l)));if(C&&A<u-1){var V=g.dist(w);if(V>2*f){var q=g.add(w.sub(g)._mult(f/V)._round());this.distance+=q.dist(g),this.addCurrentVertex(q,this.distance,T.mult(1),0,0,!1,d,l),g=q}}b=!1}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,e,o,s)}},os.prototype.addCurrentVertex=function(t,e,r,n,i,a,o,s){var l,c=this.layoutVertexArray,u=this.indexArray;s&&(e=ss(e,s)),l=r.clone(),n&&l._sub(r.perp()._mult(n)),as(c,t,l,a,!1,n,e),this.e3=o.vertexLength++,this.e1>=0&&this.e2>=0&&(u.emplaceBack(this.e1,this.e2,this.e3),o.primitiveLength++),this.e1=this.e2,this.e2=this.e3,l=r.mult(-1),i&&l._sub(r.perp()._mult(i)),as(c,t,l,a,!0,-i,e),this.e3=o.vertexLength++,this.e1>=0&&this.e2>=0&&(u.emplaceBack(this.e1,this.e2,this.e3),o.primitiveLength++),this.e1=this.e2,this.e2=this.e3,e>is/2&&!s&&(this.distance=0,this.addCurrentVertex(t,this.distance,r,n,i,a,o))},os.prototype.addPieSliceVertex=function(t,e,r,n,i,a){r=r.mult(n?-1:1);var o=this.layoutVertexArray,s=this.indexArray;a&&(e=ss(e,a)),as(o,t,r,!1,n,0,e),this.e3=i.vertexLength++,this.e1>=0&&this.e2>=0&&(s.emplaceBack(this.e1,this.e2,this.e3),i.primitiveLength++),n?this.e2=this.e3:this.e1=this.e3},kn("LineBucket",os,{omit:["layers","features"]});var ls=new ei({"line-cap":new Jn(It.layout_line["line-cap"]),"line-join":new Kn(It.layout_line["line-join"]),"line-miter-limit":new Jn(It.layout_line["line-miter-limit"]),"line-round-limit":new Jn(It.layout_line["line-round-limit"])}),cs={paint:new ei({"line-opacity":new Kn(It.paint_line["line-opacity"]),"line-color":new Kn(It.paint_line["line-color"]),"line-translate":new Jn(It.paint_line["line-translate"]),"line-translate-anchor":new Jn(It.paint_line["line-translate-anchor"]),"line-width":new Kn(It.paint_line["line-width"]),"line-gap-width":new Kn(It.paint_line["line-gap-width"]),"line-offset":new Kn(It.paint_line["line-offset"]),"line-blur":new Kn(It.paint_line["line-blur"]),"line-dasharray":new Qn(It.paint_line["line-dasharray"]),"line-pattern":new $n(It.paint_line["line-pattern"]),"line-gradient":new ti(It.paint_line["line-gradient"])}),layout:ls},us=new(function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(e,r){return r=new Un(Math.floor(r.zoom),{now:r.now,fadeDuration:r.fadeDuration,zoomHistory:r.zoomHistory,transition:r.transition}),t.prototype.possiblyEvaluate.call(this,e,r)},e.prototype.evaluate=function(e,r,n,i){return r=h({},r,{zoom:Math.floor(r.zoom)}),t.prototype.evaluate.call(this,e,r,n,i)},e}(Kn))(cs.paint.properties["line-width"].specification);us.useIntegerZoom=!0;var hs=function(t){function e(e){t.call(this,e,cs)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._handleSpecialPaintPropertyUpdate=function(t){"line-gradient"===t&&this._updateGradient()},e.prototype._updateGradient=function(){var t=this._transitionablePaint._values["line-gradient"].value.expression;this.gradient=Ya(t,"lineProgress"),this.gradientTexture=null},e.prototype.recalculate=function(e){t.prototype.recalculate.call(this,e),this.paint._values["line-floorwidth"]=us.possiblyEvaluate(this._transitioningPaint._values["line-width"].value,e)},e.prototype.createBucket=function(t){return new os(t)},e.prototype.queryRadius=function(t){var e=t,r=fs(Sa("line-width",this,e),Sa("line-gap-width",this,e)),n=Sa("line-offset",this,e);return r/2+Math.abs(n)+Ea(this.paint.get("line-translate"))},e.prototype.queryIntersectsFeature=function(t,e,r,n,a,o,s){var l=Ca(t,this.paint.get("line-translate"),this.paint.get("line-translate-anchor"),o.angle,s),c=s/2*fs(this.paint.get("line-width").evaluate(e,r),this.paint.get("line-gap-width").evaluate(e,r)),u=this.paint.get("line-offset").evaluate(e,r);return u&&(n=function(t,e){for(var r=[],n=new i(0,0),a=0;a<t.length;a++){for(var o=t[a],s=[],l=0;l<o.length;l++){var c=o[l-1],u=o[l],h=o[l+1],f=0===l?n:u.sub(c)._unit()._perp(),p=l===o.length-1?n:h.sub(u)._unit()._perp(),d=f._add(p)._unit(),g=d.x*p.x+d.y*p.y;d._mult(1/g),s.push(d._mult(e)._add(u))}r.push(s)}return r}(n,u*s)),function(t,e,r){for(var n=0;n<e.length;n++){var i=e[n];if(t.length>=3)for(var a=0;a<i.length;a++)if(Aa(t,i[a]))return!0;if(xa(t,i,r))return!0}return!1}(l,n,c)},e.prototype.isTileClipped=function(){return!0},e}(ri);function fs(t,e){return e>0?e+2*t:t}var ps=oi([{name:"a_pos_offset",components:4,type:"Int16"},{name:"a_data",components:4,type:"Uint16"}]),ds=oi([{name:"a_projected_pos",components:3,type:"Float32"}],4),gs=(oi([{name:"a_fade_opacity",components:1,type:"Uint32"}],4),oi([{name:"a_placed",components:2,type:"Uint8"},{name:"a_shift",components:2,type:"Float32"}])),vs=(oi([{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:"Uint32",name:"featureIndex"},{type:"Uint16",name:"sourceLayerIndex"},{type:"Uint16",name:"bucketIndex"},{type:"Int16",name:"radius"},{type:"Int16",name:"signedDistanceFromAnchor"}]),oi([{name:"a_pos",components:2,type:"Int16"},{name:"a_anchor_pos",components:2,type:"Int16"},{name:"a_extrude",components:2,type:"Int16"}],4)),ms=oi([{name:"a_pos",components:2,type:"Int16"},{name:"a_anchor_pos",components:2,type:"Int16"},{name:"a_extrude",components:2,type:"Int16"}],4);function ys(t,e,r){return t.sections.forEach(function(t){t.text=function(t,e,r){var n=e.layout.get("text-transform").evaluate(r,{});return"uppercase"===n?t=t.toLocaleUpperCase():"lowercase"===n&&(t=t.toLocaleLowerCase()),jn.applyArabicShaping&&(t=jn.applyArabicShaping(t)),t}(t.text,e,r)}),t}oi([{type:"Int16",name:"anchorX"},{type:"Int16",name:"anchorY"},{type:"Uint16",name:"glyphStartIndex"},{type:"Uint16",name:"numGlyphs"},{type:"Uint32",name:"vertexStartIndex"},{type:"Uint32",name:"lineStartIndex"},{type:"Uint32",name:"lineLength"},{type:"Uint16",name:"segment"},{type:"Uint16",name:"lowerSize"},{type:"Uint16",name:"upperSize"},{type:"Float32",name:"lineOffsetX"},{type:"Float32",name:"lineOffsetY"},{type:"Uint8",name:"writingMode"},{type:"Uint8",name:"hidden"},{type:"Uint32",name:"crossTileID"}]),oi([{type:"Int16",name:"anchorX"},{type:"Int16",name:"anchorY"},{type:"Int16",name:"rightJustifiedTextSymbolIndex"},{type:"Int16",name:"centerJustifiedTextSymbolIndex"},{type:"Int16",name:"leftJustifiedTextSymbolIndex"},{type:"Int16",name:"verticalPlacedTextSymbolIndex"},{type:"Uint16",name:"key"},{type:"Uint16",name:"textBoxStartIndex"},{type:"Uint16",name:"textBoxEndIndex"},{type:"Uint16",name:"iconBoxStartIndex"},{type:"Uint16",name:"iconBoxEndIndex"},{type:"Uint16",name:"featureIndex"},{type:"Uint16",name:"numHorizontalGlyphVertices"},{type:"Uint16",name:"numVerticalGlyphVertices"},{type:"Uint16",name:"numIconVertices"},{type:"Uint32",name:"crossTileID"},{type:"Float32",name:"textBoxScale"},{type:"Float32",name:"radialTextOffset"}]),oi([{type:"Float32",name:"offsetX"}]),oi([{type:"Int16",name:"x"},{type:"Int16",name:"y"},{type:"Int16",name:"tileUnitDistanceFromAnchor"}]);var xs={"!":"\ufe15","#":"\uff03",$:"\uff04","%":"\uff05","&":"\uff06","(":"\ufe35",")":"\ufe36","*":"\uff0a","+":"\uff0b",",":"\ufe10","-":"\ufe32",".":"\u30fb","/":"\uff0f",":":"\ufe13",";":"\ufe14","<":"\ufe3f","=":"\uff1d",">":"\ufe40","?":"\ufe16","@":"\uff20","[":"\ufe47","\\":"\uff3c","]":"\ufe48","^":"\uff3e",_:"\ufe33","`":"\uff40","{":"\ufe37","|":"\u2015","}":"\ufe38","~":"\uff5e","\xa2":"\uffe0","\xa3":"\uffe1","\xa5":"\uffe5","\xa6":"\uffe4","\xac":"\uffe2","\xaf":"\uffe3","\u2013":"\ufe32","\u2014":"\ufe31","\u2018":"\ufe43","\u2019":"\ufe44","\u201c":"\ufe41","\u201d":"\ufe42","\u2026":"\ufe19","\u2027":"\u30fb","\u20a9":"\uffe6","\u3001":"\ufe11","\u3002":"\ufe12","\u3008":"\ufe3f","\u3009":"\ufe40","\u300a":"\ufe3d","\u300b":"\ufe3e","\u300c":"\ufe41","\u300d":"\ufe42","\u300e":"\ufe43","\u300f":"\ufe44","\u3010":"\ufe3b","\u3011":"\ufe3c","\u3014":"\ufe39","\u3015":"\ufe3a","\u3016":"\ufe17","\u3017":"\ufe18","\uff01":"\ufe15","\uff08":"\ufe35","\uff09":"\ufe36","\uff0c":"\ufe10","\uff0d":"\ufe32","\uff0e":"\u30fb","\uff1a":"\ufe13","\uff1b":"\ufe14","\uff1c":"\ufe3f","\uff1e":"\ufe40","\uff1f":"\ufe16","\uff3b":"\ufe47","\uff3d":"\ufe48","\uff3f":"\ufe33","\uff5b":"\ufe37","\uff5c":"\u2015","\uff5d":"\ufe38","\uff5f":"\ufe35","\uff60":"\ufe36","\uff61":"\ufe12","\uff62":"\ufe41","\uff63":"\ufe42"},bs=function(t){function e(e,r,n,i){t.call(this,e,r),this.angle=n,void 0!==i&&(this.segment=i)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.clone=function(){return new e(this.x,this.y,this.angle,this.segment)},e}(i);kn("Anchor",bs);var _s=256;function ws(t,e){var r=e.expression;if("constant"===r.kind)return{kind:"constant",layoutSize:r.evaluate(new Un(t+1))};if("source"===r.kind)return{kind:"source"};for(var n=r.zoomStops,i=r.interpolationType,a=0;a<n.length&&n[a]<=t;)a++;for(var o=a=Math.max(0,a-1);o<n.length&&n[o]<t+1;)o++;o=Math.min(n.length-1,o);var s=n[a],l=n[o];return"composite"===r.kind?{kind:"composite",minZoom:s,maxZoom:l,interpolationType:i}:{kind:"camera",minZoom:s,maxZoom:l,minSize:r.evaluate(new Un(s)),maxSize:r.evaluate(new Un(l)),interpolationType:i}}function ks(t,e,r){var n=e.uSize,i=e.uSizeT,a=r.lowerSize,o=r.upperSize;return"source"===t.kind?a/_s:"composite"===t.kind?Ee(a/_s,o/_s,i):n}function Ts(t,e){var r=0,n=0;if("constant"===t.kind)n=t.layoutSize;else if("source"!==t.kind){var i=t.interpolationType,a=t.minZoom,o=t.maxZoom,s=i?c(Xe.interpolationFactor(i,e,a,o),0,1):0;"camera"===t.kind?n=Ee(t.minSize,t.maxSize,s):r=s}return{uSizeT:r,uSize:n}}var As=Object.freeze({getSizeData:ws,evaluateSizeForFeature:ks,evaluateSizeForZoom:Ts,SIZE_PACK_FACTOR:_s}),Ms=Vo.VectorTileFeature.types,Ss=[{name:"a_fade_opacity",components:1,type:"Uint8",offset:0}];function Es(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,s?s[0]:0,s?s[1]:0)}function Cs(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}var Ls=function(t){this.layoutVertexArray=new pi,this.indexArray=new Ti,this.programConfigurations=t,this.segments=new Vi,this.dynamicLayoutVertexArray=new di,this.opacityVertexArray=new gi,this.placedSymbolArray=new Oi};Ls.prototype.upload=function(t,e,r,n){r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,ps.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,ds.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,Ss,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t)},Ls.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},kn("SymbolBuffers",Ls);var Ps=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new Vi,this.collisionVertexArray=new yi};Ps.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,gs.members,!0)},Ps.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},kn("CollisionBuffers",Ps);var Os=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map(function(t){return t.id}),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1;var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=ws(this.zoom,e["text-size"]),this.iconSizeData=ws(this.zoom,e["icon-size"]);var r=this.layers[0].layout,n=r.get("symbol-sort-key"),i=r.get("symbol-z-order");this.sortFeaturesByKey="viewport-y"!==i&&void 0!==n.constantOr(1);var a="viewport-y"===i||"auto"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&(r.get("text-allow-overlap")||r.get("icon-allow-overlap")||r.get("text-ignore-placement")||r.get("icon-ignore-placement")),this.stateDependentLayerIds=this.layers.filter(function(t){return t.isStateDependent()}).map(function(t){return t.id}),this.sourceID=t.sourceID};Os.prototype.createArrays=function(){this.text=new Ls(new la(ps.members,this.layers,this.zoom,function(t){return/^text/.test(t)})),this.icon=new Ls(new la(ps.members,this.layers,this.zoom,function(t){return/^icon/.test(t)})),this.collisionBox=new Ps(mi,vs.members,Ai),this.collisionCircle=new Ps(mi,ms.members,Ti),this.glyphOffsetArray=new Ri,this.lineVertexArray=new Bi,this.symbolInstances=new Ii},Os.prototype.calculateGlyphDependencies=function(t,e,r,n){for(var i=0;i<t.length;i++)if(e[t.charCodeAt(i)]=!0,r&&n){var a=xs[t.charAt(i)];a&&(e[a.charCodeAt(0)]=!0)}},Os.prototype.populate=function(t,e){var r=this.layers[0],n=r.layout,i=n.get("text-font"),a=n.get("text-field"),o=n.get("icon-image"),s=("constant"!==a.value.kind||a.value.value.toString().length>0)&&("constant"!==i.value.kind||i.value.value.length>0),l="constant"!==o.value.kind||o.value.value&&o.value.value.length>0,c=n.get("symbol-sort-key");if(this.features=[],s||l){for(var u=e.iconDependencies,h=e.glyphDependencies,f=new Un(this.zoom),p=0,d=t;p<d.length;p+=1){var g=d[p],v=g.feature,m=g.index,y=g.sourceLayerIndex;if(r._featureFilter(f,v)){var x=void 0;if(s){var b=r.getValueAndResolveTokens("text-field",v);x=ys(b instanceof oe?b:oe.fromString(b),r,v)}var _=void 0;if(l&&(_=r.getValueAndResolveTokens("icon-image",v)),x||_){var w=this.sortFeaturesByKey?c.evaluate(v,{}):void 0,k={text:x,icon:_,index:m,sourceLayerIndex:y,geometry:pa(v),properties:v.properties,type:Ms[v.type],sortKey:w};if(void 0!==v.id&&(k.id=v.id),this.features.push(k),_&&(u[_]=!0),x)for(var T=i.evaluate(v,{}).join(","),A="map"===n.get("text-rotation-alignment")&&"point"!==n.get("symbol-placement"),M=0,S=x.sections;M<S.length;M+=1){var E=S[M],C=Cn(x.toString()),L=E.fontStack||T,P=h[L]=h[L]||{};this.calculateGlyphDependencies(E.text,P,A,C)}}}}"line"===n.get("symbol-placement")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+":"+n.x+":"+n.y}for(var c=0;c<t.length;c++){var u=t[c],h=u.geometry,f=u.text?u.text.toString():null;if(f){var p=l(f,h),d=l(f,h,!0);if(p in r&&d in e&&r[p]!==e[d]){var g=s(p,d,h),v=o(p,d,n[g].geometry);delete e[p],delete r[d],r[l(f,n[v].geometry,!0)]=v,n[g].geometry=null}else p in r?o(p,d,h):d in e?s(p,d,h):(a(c),e[p]=i-1,r[d]=i-1)}else a(c)}return n.filter(function(t){return t.geometry})}(this.features)),this.sortFeaturesByKey&&this.features.sort(function(t,e){return t.sortKey-e.sortKey})}},Os.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},Os.prototype.isEmpty=function(){return 0===this.symbolInstances.length},Os.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},Os.prototype.upload=function(t){this.uploaded||(this.collisionBox.upload(t),this.collisionCircle.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},Os.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.collisionBox.destroy(),this.collisionCircle.destroy()},Os.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var c=a[l];this.lineVertexArray.emplaceBack(c.x,c.y,c.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},Os.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,c){for(var u=t.indexArray,h=t.layoutVertexArray,f=t.dynamicLayoutVertexArray,p=t.segments.prepareSegment(4*e.length,t.layoutVertexArray,t.indexArray,a.sortKey),d=this.glyphOffsetArray.length,g=p.vertexLength,v=0,m=e;v<m.length;v+=1){var y=m[v],x=y.tl,b=y.tr,_=y.bl,w=y.br,k=y.tex,T=p.vertexLength,A=y.glyphOffset[1];Es(h,s.x,s.y,x.x,A+x.y,k.x,k.y,r),Es(h,s.x,s.y,b.x,A+b.y,k.x+k.w,k.y,r),Es(h,s.x,s.y,_.x,A+_.y,k.x,k.y+k.h,r),Es(h,s.x,s.y,w.x,A+w.y,k.x+k.w,k.y+k.h,r),Cs(f,s,0),u.emplaceBack(T,T+1,T+2),u.emplaceBack(T+1,T+2,T+3),p.vertexLength+=4,p.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(y.glyphOffset[0])}t.placedSymbolArray.emplaceBack(s.x,s.y,d,this.glyphOffsetArray.length-d,g,l,c,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,!1,0),t.programConfigurations.populatePaintArrays(t.layoutVertexArray.length,a,a.index,{})},Os.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},Os.prototype.addCollisionDebugVertices=function(t,e,r,n,a,o,s,l){var c=a.segments.prepareSegment(4,a.layoutVertexArray,a.indexArray),u=c.vertexLength,h=a.layoutVertexArray,f=a.collisionVertexArray,p=s.anchorX,d=s.anchorY;if(this._addCollisionDebugVertex(h,f,o,p,d,new i(t,e)),this._addCollisionDebugVertex(h,f,o,p,d,new i(r,e)),this._addCollisionDebugVertex(h,f,o,p,d,new i(r,n)),this._addCollisionDebugVertex(h,f,o,p,d,new i(t,n)),c.vertexLength+=4,l){var g=a.indexArray;g.emplaceBack(u,u+1,u+2),g.emplaceBack(u,u+2,u+3),c.primitiveLength+=2}else{var v=a.indexArray;v.emplaceBack(u,u+1),v.emplaceBack(u+1,u+2),v.emplaceBack(u+2,u+3),v.emplaceBack(u+3,u),c.primitiveLength+=4}},Os.prototype.addDebugCollisionBoxes=function(t,e,r){for(var n=t;n<e;n++){var i=this.collisionBoxArray.get(n),a=i.x1,o=i.y1,s=i.x2,l=i.y2,c=i.radius>0;this.addCollisionDebugVertices(a,o,s,l,c?this.collisionCircle:this.collisionBox,i.anchorPoint,r,c)}},Os.prototype.generateCollisionDebugBuffers=function(){for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e)}},Os.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i){for(var a={},o=e;o<r;o++){var s=t.get(o);if(0===s.radius){a.textBox={x1:s.x1,y1:s.y1,x2:s.x2,y2:s.y2,anchorPointX:s.anchorPointX,anchorPointY:s.anchorPointY},a.textFeatureIndex=s.featureIndex;break}a.textCircles||(a.textCircles=[],a.textFeatureIndex=s.featureIndex),a.textCircles.push(s.anchorPointX,s.anchorPointY,s.radius,s.signedDistanceFromAnchor,1)}for(var l=n;l<i;l++){var c=t.get(l);if(0===c.radius){a.iconBox={x1:c.x1,y1:c.y1,x2:c.x2,y2:c.y2,anchorPointX:c.anchorPointX,anchorPointY:c.anchorPointY},a.iconFeatureIndex=c.featureIndex;break}}return a},Os.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex))}},Os.prototype.hasTextData=function(){return this.text.segments.get().length>0},Os.prototype.hasIconData=function(){return this.icon.segments.get().length>0},Os.prototype.hasCollisionBoxData=function(){return this.collisionBox.segments.get().length>0},Os.prototype.hasCollisionCircleData=function(){return this.collisionCircle.segments.get().length>0},Os.prototype.addIndicesForPlacedTextSymbol=function(t){for(var e=this.text.placedSymbolArray.get(t),r=e.vertexStartIndex+4*e.numGlyphs,n=e.vertexStartIndex;n<r;n+=4)this.text.indexArray.emplaceBack(n,n+1,n+2),this.text.indexArray.emplaceBack(n+1,n+2,n+3)},Os.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort(function(t,e){return n[t]-n[e]||i[e]-i[t]}),a},Os.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach(function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedTextSymbol(t)}),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedTextSymbol(a.verticalPlacedTextSymbolIndex);var o=this.icon.placedSymbolArray.get(i);if(o.numGlyphs){var s=o.vertexStartIndex;this.icon.indexArray.emplaceBack(s,s+1,s+2),this.icon.indexArray.emplaceBack(s+1,s+2,s+3)}}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},kn("SymbolBucket",Os,{omit:["layers","collisionBoxArray","features","compareText"]}),Os.MAX_GLYPHS=65535,Os.addDynamicAttributes=Cs;var zs=new ei({"symbol-placement":new Jn(It.layout_symbol["symbol-placement"]),"symbol-spacing":new Jn(It.layout_symbol["symbol-spacing"]),"symbol-avoid-edges":new Jn(It.layout_symbol["symbol-avoid-edges"]),"symbol-sort-key":new Kn(It.layout_symbol["symbol-sort-key"]),"symbol-z-order":new Jn(It.layout_symbol["symbol-z-order"]),"icon-allow-overlap":new Jn(It.layout_symbol["icon-allow-overlap"]),"icon-ignore-placement":new Jn(It.layout_symbol["icon-ignore-placement"]),"icon-optional":new Jn(It.layout_symbol["icon-optional"]),"icon-rotation-alignment":new Jn(It.layout_symbol["icon-rotation-alignment"]),"icon-size":new Kn(It.layout_symbol["icon-size"]),"icon-text-fit":new Jn(It.layout_symbol["icon-text-fit"]),"icon-text-fit-padding":new Jn(It.layout_symbol["icon-text-fit-padding"]),"icon-image":new Kn(It.layout_symbol["icon-image"]),"icon-rotate":new Kn(It.layout_symbol["icon-rotate"]),"icon-padding":new Jn(It.layout_symbol["icon-padding"]),"icon-keep-upright":new Jn(It.layout_symbol["icon-keep-upright"]),"icon-offset":new Kn(It.layout_symbol["icon-offset"]),"icon-anchor":new Kn(It.layout_symbol["icon-anchor"]),"icon-pitch-alignment":new Jn(It.layout_symbol["icon-pitch-alignment"]),"text-pitch-alignment":new Jn(It.layout_symbol["text-pitch-alignment"]),"text-rotation-alignment":new Jn(It.layout_symbol["text-rotation-alignment"]),"text-field":new Kn(It.layout_symbol["text-field"]),"text-font":new Kn(It.layout_symbol["text-font"]),"text-size":new Kn(It.layout_symbol["text-size"]),"text-max-width":new Kn(It.layout_symbol["text-max-width"]),"text-line-height":new Jn(It.layout_symbol["text-line-height"]),"text-letter-spacing":new Kn(It.layout_symbol["text-letter-spacing"]),"text-justify":new Kn(It.layout_symbol["text-justify"]),"text-radial-offset":new Kn(It.layout_symbol["text-radial-offset"]),"text-variable-anchor":new Jn(It.layout_symbol["text-variable-anchor"]),"text-anchor":new Kn(It.layout_symbol["text-anchor"]),"text-max-angle":new Jn(It.layout_symbol["text-max-angle"]),"text-rotate":new Kn(It.layout_symbol["text-rotate"]),"text-padding":new Jn(It.layout_symbol["text-padding"]),"text-keep-upright":new Jn(It.layout_symbol["text-keep-upright"]),"text-transform":new Kn(It.layout_symbol["text-transform"]),"text-offset":new Kn(It.layout_symbol["text-offset"]),"text-allow-overlap":new Jn(It.layout_symbol["text-allow-overlap"]),"text-ignore-placement":new Jn(It.layout_symbol["text-ignore-placement"]),"text-optional":new Jn(It.layout_symbol["text-optional"])}),Is={paint:new ei({"icon-opacity":new Kn(It.paint_symbol["icon-opacity"]),"icon-color":new Kn(It.paint_symbol["icon-color"]),"icon-halo-color":new Kn(It.paint_symbol["icon-halo-color"]),"icon-halo-width":new Kn(It.paint_symbol["icon-halo-width"]),"icon-halo-blur":new Kn(It.paint_symbol["icon-halo-blur"]),"icon-translate":new Jn(It.paint_symbol["icon-translate"]),"icon-translate-anchor":new Jn(It.paint_symbol["icon-translate-anchor"]),"text-opacity":new Kn(It.paint_symbol["text-opacity"]),"text-color":new Kn(It.paint_symbol["text-color"]),"text-halo-color":new Kn(It.paint_symbol["text-halo-color"]),"text-halo-width":new Kn(It.paint_symbol["text-halo-width"]),"text-halo-blur":new Kn(It.paint_symbol["text-halo-blur"]),"text-translate":new Jn(It.paint_symbol["text-translate"]),"text-translate-anchor":new Jn(It.paint_symbol["text-translate-anchor"])}),layout:zs},Ds=function(t){function e(e){t.call(this,e,Is)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e){t.prototype.recalculate.call(this,e),"auto"===this.layout.get("icon-rotation-alignment")&&("point"!==this.layout.get("symbol-placement")?this.layout._values["icon-rotation-alignment"]="map":this.layout._values["icon-rotation-alignment"]="viewport"),"auto"===this.layout.get("text-rotation-alignment")&&("point"!==this.layout.get("symbol-placement")?this.layout._values["text-rotation-alignment"]="map":this.layout._values["text-rotation-alignment"]="viewport"),"auto"===this.layout.get("text-pitch-alignment")&&(this.layout._values["text-pitch-alignment"]=this.layout.get("text-rotation-alignment")),"auto"===this.layout.get("icon-pitch-alignment")&&(this.layout._values["icon-pitch-alignment"]=this.layout.get("icon-rotation-alignment"))},e.prototype.getValueAndResolveTokens=function(t,e){var r,n=this.layout.get(t).evaluate(e,{}),i=this._unevaluatedLayout._values[t];return i.isDataDriven()||Pr(i.value)?n:(r=e.properties,n.replace(/{([^{}]+)}/g,function(t,e){return e in r?String(r[e]):""}))},e.prototype.createBucket=function(t){return new Os(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e}(ri),Rs={paint:new ei({"background-color":new Jn(It.paint_background["background-color"]),"background-pattern":new Qn(It.paint_background["background-pattern"]),"background-opacity":new Jn(It.paint_background["background-opacity"])})},Fs=function(t){function e(e){t.call(this,e,Rs)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(ri),Bs={paint:new ei({"raster-opacity":new Jn(It.paint_raster["raster-opacity"]),"raster-hue-rotate":new Jn(It.paint_raster["raster-hue-rotate"]),"raster-brightness-min":new Jn(It.paint_raster["raster-brightness-min"]),"raster-brightness-max":new Jn(It.paint_raster["raster-brightness-max"]),"raster-saturation":new Jn(It.paint_raster["raster-saturation"]),"raster-contrast":new Jn(It.paint_raster["raster-contrast"]),"raster-resampling":new Jn(It.paint_raster["raster-resampling"]),"raster-fade-duration":new Jn(It.paint_raster["raster-fade-duration"])})},Ns=function(t){function e(e){t.call(this,e,Bs)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(ri),js=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return"3d"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(ri),Us={circle:Fa,heatmap:Wa,hillshade:Za,fill:Oo,"fill-extrusion":Jo,line:hs,symbol:Ds,background:Fs,raster:Ns};function Vs(t){for(var e=0,r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];e+=a.w*a.h,r=Math.max(r,a.w)}t.sort(function(t,e){return e.h-t.h});for(var o=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}],s=0,l=0,c=0,u=t;c<u.length;c+=1)for(var h=u[c],f=o.length-1;f>=0;f--){var p=o[f];if(!(h.w>p.w||h.h>p.h)){if(h.x=p.x,h.y=p.y,l=Math.max(l,h.y+h.h),s=Math.max(s,h.x+h.w),h.w===p.w&&h.h===p.h){var d=o.pop();f<o.length&&(o[f]=d)}else h.h===p.h?(p.x+=h.w,p.w-=h.w):h.w===p.w?(p.y+=h.h,p.h-=h.h):(o.push({x:p.x+h.w,y:p.y,w:p.w-h.w,h:h.h}),p.y+=h.h,p.h-=h.h);break}}return{w:s,h:l,fill:e/(s*l)||0}}var qs=function(t,e){var r=e.pixelRatio,n=e.version;this.paddedRect=t,this.pixelRatio=r,this.version=n},Hs={tl:{configurable:!0},br:{configurable:!0},tlbr:{configurable:!0},displaySize:{configurable:!0}};Hs.tl.get=function(){return[this.paddedRect.x+1,this.paddedRect.y+1]},Hs.br.get=function(){return[this.paddedRect.x+this.paddedRect.w-1,this.paddedRect.y+this.paddedRect.h-1]},Hs.tlbr.get=function(){return this.tl.concat(this.br)},Hs.displaySize.get=function(){return[(this.paddedRect.w-2)/this.pixelRatio,(this.paddedRect.h-2)/this.pixelRatio]},Object.defineProperties(qs.prototype,Hs);var Gs=function(t,e){var r={},n={};this.haveRenderCallbacks=[];var i=[];this.addImages(t,r,i),this.addImages(e,n,i);var a=Vs(i),o=a.w,s=a.h,l=new Ha({width:o||1,height:s||1});for(var c in t){var u=t[c],h=r[c].paddedRect;Ha.copy(u.data,l,{x:0,y:0},{x:h.x+1,y:h.y+1},u.data)}for(var f in e){var p=e[f],d=n[f].paddedRect,g=d.x+1,v=d.y+1,m=p.data.width,y=p.data.height;Ha.copy(p.data,l,{x:0,y:0},{x:g,y:v},p.data),Ha.copy(p.data,l,{x:0,y:y-1},{x:g,y:v-1},{width:m,height:1}),Ha.copy(p.data,l,{x:0,y:0},{x:g,y:v+y},{width:m,height:1}),Ha.copy(p.data,l,{x:m-1,y:0},{x:g-1,y:v},{width:1,height:y}),Ha.copy(p.data,l,{x:0,y:0},{x:g+m,y:v},{width:1,height:y})}this.image=l,this.iconPositions=r,this.patternPositions=n};Gs.prototype.addImages=function(t,e,r){for(var n in t){var i=t[n],a={x:0,y:0,w:i.data.width+2,h:i.data.height+2};r.push(a),e[n]=new qs(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},Gs.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},Gs.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,i=n[0],a=n[1];r.update(e.data,void 0,{x:i,y:a})}},kn("ImagePosition",qs),kn("ImageAtlas",Gs);var Ys=self.HTMLImageElement,Ws=self.HTMLCanvasElement,Xs=self.HTMLVideoElement,Zs=self.ImageData,Js=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Js.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof Ys||t instanceof Ws||t instanceof Xs||t instanceof Zs?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},c=l.x,u=l.y;t instanceof Ys||t instanceof Ws||t instanceof Xs||t instanceof Zs?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Js.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Js.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Js.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Ks=function(t,e,r,n,i){var a,o,s=8*i-n-1,l=(1<<s)-1,c=l>>1,u=-7,h=r?i-1:0,f=r?-1:1,p=t[e+h];for(h+=f,a=p&(1<<-u)-1,p>>=-u,u+=s;u>0;a=256*a+t[e+h],h+=f,u-=8);for(o=a&(1<<-u)-1,a>>=-u,u+=n;u>0;o=256*o+t[e+h],h+=f,u-=8);if(0===a)a=1-c;else{if(a===l)return o?NaN:1/0*(p?-1:1);o+=Math.pow(2,n),a-=c}return(p?-1:1)*o*Math.pow(2,a-n)},$s=function(t,e,r,n,i,a){var o,s,l,c=8*a-i-1,u=(1<<c)-1,h=u>>1,f=23===i?Math.pow(2,-24)-Math.pow(2,-77):0,p=n?0:a-1,d=n?1:-1,g=e<0||0===e&&1/e<0?1:0;for(e=Math.abs(e),isNaN(e)||e===1/0?(s=isNaN(e)?1:0,o=u):(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))*l>=2&&(o++,l/=2),o+h>=u?(s=0,o=u):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+p]=255&s,p+=d,s/=256,i-=8);for(o=o<<i|s,c+=i;c>0;t[r+p]=255&o,p+=d,o/=256,c-=8);t[r+p-d]|=128*g},Qs=tl;function tl(t){this.buf=ArrayBuffer.isView&&ArrayBuffer.isView(t)?t:new Uint8Array(t||0),this.pos=0,this.type=0,this.length=this.buf.length}function el(t){return t.type===tl.Bytes?t.readVarint()+t.pos:t.pos+1}function rl(t,e,r){return r?4294967296*e+(t>>>0):4294967296*(e>>>0)+(t>>>0)}function nl(t,e,r){var n=e<=16383?1:e<=2097151?2:e<=268435455?3:Math.floor(Math.log(e)/(7*Math.LN2));r.realloc(n);for(var i=r.pos-1;i>=t;i--)r.buf[i+n]=r.buf[i]}function il(t,e){for(var r=0;r<t.length;r++)e.writeVarint(t[r])}function al(t,e){for(var r=0;r<t.length;r++)e.writeSVarint(t[r])}function ol(t,e){for(var r=0;r<t.length;r++)e.writeFloat(t[r])}function sl(t,e){for(var r=0;r<t.length;r++)e.writeDouble(t[r])}function ll(t,e){for(var r=0;r<t.length;r++)e.writeBoolean(t[r])}function cl(t,e){for(var r=0;r<t.length;r++)e.writeFixed32(t[r])}function ul(t,e){for(var r=0;r<t.length;r++)e.writeSFixed32(t[r])}function hl(t,e){for(var r=0;r<t.length;r++)e.writeFixed64(t[r])}function fl(t,e){for(var r=0;r<t.length;r++)e.writeSFixed64(t[r])}function pl(t,e){return(t[e]|t[e+1]<<8|t[e+2]<<16)+16777216*t[e+3]}function dl(t,e,r){t[r]=e,t[r+1]=e>>>8,t[r+2]=e>>>16,t[r+3]=e>>>24}function gl(t,e){return(t[e]|t[e+1]<<8|t[e+2]<<16)+(t[e+3]<<24)}tl.Varint=0,tl.Fixed64=1,tl.Bytes=2,tl.Fixed32=5,tl.prototype={destroy:function(){this.buf=null},readFields:function(t,e,r){for(r=r||this.length;this.pos<r;){var 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rl(t,n,e);if(n|=(127&(i=a[r.pos++]))<<3,i<128)return rl(t,n,e);if(n|=(127&(i=a[r.pos++]))<<10,i<128)return rl(t,n,e);if(n|=(127&(i=a[r.pos++]))<<17,i<128)return rl(t,n,e);if(n|=(127&(i=a[r.pos++]))<<24,i<128)return rl(t,n,e);if(n|=(1&(i=a[r.pos++]))<<31,i<128)return rl(t,n,e);throw new Error("Expected varint not more than 10 bytes")}(e|=(15&(r=n[this.pos]))<<28,t,this))))},readVarint64:function(){return this.readVarint(!0)},readSVarint:function(){var t=this.readVarint();return t%2==1?(t+1)/-2:t/2},readBoolean:function(){return Boolean(this.readVarint())},readString:function(){var t=this.readVarint()+this.pos,e=function(t,e,r){for(var n="",i=e;i<r;){var a,o,s,l=t[i],c=null,u=l>239?4:l>223?3:l>191?2:1;if(i+u>r)break;1===u?l<128&&(c=l):2===u?128==(192&(a=t[i+1]))&&(c=(31&l)<<6|63&a)<=127&&(c=null):3===u?(a=t[i+1],o=t[i+2],128==(192&a)&&128==(192&o)&&((c=(15&l)<<12|(63&a)<<6|63&o)<=2047||c>=55296&&c<=57343)&&(c=null)):4===u&&(a=t[i+1],o=t[i+2],s=t[i+3],128==(192&a)&&128==(192&o)&&128==(192&s)&&((c=(15&l)<<18|(63&a)<<12|(63&o)<<6|63&s)<=65535||c>=1114112)&&(c=null)),null===c?(c=65533,u=1):c>65535&&(c-=65536,n+=String.fromCharCode(c>>>10&1023|55296),c=56320|1023&c),n+=String.fromCharCode(c),i+=u}return n}(this.buf,this.pos,t);return this.pos=t,e},readBytes:function(){var t=this.readVarint()+this.pos,e=this.buf.subarray(this.pos,t);return this.pos=t,e},readPackedVarint:function(t,e){if(this.type!==tl.Bytes)return t.push(this.readVarint(e));var r=el(this);for(t=t||[];this.pos<r;)t.push(this.readVarint(e));return t},readPackedSVarint:function(t){if(this.type!==tl.Bytes)return t.push(this.readSVarint());var e=el(this);for(t=t||[];this.pos<e;)t.push(this.readSVarint());return t},readPackedBoolean:function(t){if(this.type!==tl.Bytes)return t.push(this.readBoolean());var e=el(this);for(t=t||[];this.pos<e;)t.push(this.readBoolean());return t},readPackedFloat:function(t){if(this.type!==tl.Bytes)return t.push(this.readFloat());var e=el(this);for(t=t||[];this.pos<e;)t.push(this.readFloat());return t},readPackedDouble:function(t){if(this.type!==tl.Bytes)return t.push(this.readDouble());var e=el(this);for(t=t||[];this.pos<e;)t.push(this.readDouble());return t},readPackedFixed32:function(t){if(this.type!==tl.Bytes)return t.push(this.readFixed32());var e=el(this);for(t=t||[];this.pos<e;)t.push(this.readFixed32());return t},readPackedSFixed32:function(t){if(this.type!==tl.Bytes)return t.push(this.readSFixed32());var e=el(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed32());return t},readPackedFixed64:function(t){if(this.type!==tl.Bytes)return t.push(this.readFixed64());var e=el(this);for(t=t||[];this.pos<e;)t.push(this.readFixed64());return t},readPackedSFixed64:function(t){if(this.type!==tl.Bytes)return t.push(this.readSFixed64());var e=el(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed64());return t},skip:function(t){var e=7&t;if(e===tl.Varint)for(;this.buf[this.pos++]>127;);else if(e===tl.Bytes)this.pos=this.readVarint()+this.pos;else if(e===tl.Fixed32)this.pos+=4;else{if(e!==tl.Fixed64)throw new Error("Unimplemented type: "+e);this.pos+=8}},writeTag:function(t,e){this.writeVarint(t<<3|e)},realloc:function(t){for(var e=this.length||16;e<this.pos+t;)e*=2;if(e!==this.length){var r=new Uint8Array(e);r.set(this.buf),this.buf=r,this.length=e}},finish:function(){return this.length=this.pos,this.pos=0,this.buf.subarray(0,this.length)},writeFixed32:function(t){this.realloc(4),dl(this.buf,t,this.pos),this.pos+=4},writeSFixed32:function(t){this.realloc(4),dl(this.buf,t,this.pos),this.pos+=4},writeFixed64:function(t){this.realloc(8),dl(this.buf,-1&t,this.pos),dl(this.buf,Math.floor(t*(1/4294967296)),this.pos+4),this.pos+=8},writeSFixed64:function(t){this.realloc(8),dl(this.buf,-1&t,this.pos),dl(this.buf,Math.floor(t*(1/4294967296)),this.pos+4),this.pos+=8},writeVarint:function(t){(t=+t||0)>268435455||t<0?function(t,e){var r,n;if(t>=0?(r=t%4294967296|0,n=t/4294967296|0):(n=~(-t/4294967296),4294967295^(r=~(-t%4294967296))?r=r+1|0:(r=0,n=n+1|0)),t>=0x10000000000000000||t<-0x10000000000000000)throw new Error("Given varint doesn't fit into 10 bytes");e.realloc(10),function(t,e,r){r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos]=127&t}(r,0,e),function(t,e){var r=(7&t)<<4;e.buf[e.pos++]|=r|((t>>>=3)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t)))))}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,i,a=0;a<e.length;a++){if((n=e.charCodeAt(a))>55295&&n<57344){if(!i){n>56319||a+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):i=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,i=n;continue}n=i-55296<<10|n-56320|65536,i=null}else i&&(t[r++]=239,t[r++]=191,t[r++]=189,i=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&nl(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),$s(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),$s(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&nl(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,tl.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,il,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,al,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,ll,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,ol,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,sl,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,cl,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,ul,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,hl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,fl,e)},writeBytesField:function(t,e){this.writeTag(t,tl.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,tl.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,tl.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,tl.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,tl.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,tl.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,tl.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,tl.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,tl.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,tl.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};var vl=3;function ml(t,e,r){1===t&&r.readMessage(yl,e)}function yl(t,e,r){if(3===t){var n=r.readMessage(xl,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,c=n.top,u=n.advance;e.push({id:i,bitmap:new qa({width:o+2*vl,height:s+2*vl},a),metrics:{width:o,height:s,left:l,top:c,advance:u}})}}function xl(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())}var bl=vl,_l=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.callbackID=0,v(["receive"],this),this.target.addEventListener("message",this.receive,!1)};function wl(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}_l.prototype.send=function(t,e,r,n){var i=this,a=r?this.mapId+":"+this.callbackID++:null;r&&(this.callbacks[a]=r);var o=[];if(this.target.postMessage({targetMapId:n,sourceMapId:this.mapId,type:t,id:String(a),data:An(e,o)},o),r)return{cancel:function(){i.callbacks[a]=null,i.target.postMessage({targetMapId:n,sourceMapId:i.mapId,type:"<cancel>",id:String(a)})}}},_l.prototype.receive=function(t){var e,r=this,n=t.data,i=n.id;if(!n.targetMapId||this.mapId===n.targetMapId){var a=function(t,e){delete r.callbacks[i];var n=[];r.target.postMessage({sourceMapId:r.mapId,type:"<response>",id:String(i),error:t?An(t):null,data:An(e,n)},n)};if("<response>"===n.type||"<cancel>"===n.type)e=this.callbacks[n.id],delete this.callbacks[n.id],e&&n.error?e(Mn(n.error)):e&&e(null,Mn(n.data));else if(void 0!==n.id&&this.parent[n.type]){this.callbacks[n.id]=null;var o=this.parent[n.type](n.sourceMapId,Mn(n.data),a);o&&null===this.callbacks[n.id]&&(this.callbacks[n.id]=o.cancel)}else if(void 0!==n.id&&this.parent.getWorkerSource){var s=n.type.split("."),l=Mn(n.data);this.parent.getWorkerSource(n.sourceMapId,s[0],l.source)[s[1]](l,a)}else this.parent[n.type](Mn(n.data))}},_l.prototype.remove=function(){this.target.removeEventListener("message",this.receive,!1)};var kl=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};kl.prototype.setNorthEast=function(t){return this._ne=t instanceof Tl?new Tl(t.lng,t.lat):Tl.convert(t),this},kl.prototype.setSouthWest=function(t){return this._sw=t instanceof Tl?new Tl(t.lng,t.lat):Tl.convert(t),this},kl.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Tl)e=t,r=t;else{if(!(t instanceof kl))return Array.isArray(t)?t.every(Array.isArray)?this.extend(kl.convert(t)):this.extend(Tl.convert(t)):this;if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Tl(e.lng,e.lat),this._ne=new Tl(r.lng,r.lat)),this},kl.prototype.getCenter=function(){return new Tl((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},kl.prototype.getSouthWest=function(){return this._sw},kl.prototype.getNorthEast=function(){return this._ne},kl.prototype.getNorthWest=function(){return new Tl(this.getWest(),this.getNorth())},kl.prototype.getSouthEast=function(){return new Tl(this.getEast(),this.getSouth())},kl.prototype.getWest=function(){return this._sw.lng},kl.prototype.getSouth=function(){return this._sw.lat},kl.prototype.getEast=function(){return this._ne.lng},kl.prototype.getNorth=function(){return this._ne.lat},kl.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},kl.prototype.toString=function(){return"LngLatBounds("+this._sw.toString()+", "+this._ne.toString()+")"},kl.prototype.isEmpty=function(){return!(this._sw&&this._ne)},kl.convert=function(t){return!t||t instanceof kl?t:new kl(t)};var Tl=function(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")};function Al(t){return 2*Math.PI*6378137*Math.cos(t*Math.PI/180)}function Ml(t){return(180+t)/360}function Sl(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function El(t,e){return t/Al(e)}function Cl(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}Tl.prototype.wrap=function(){return new Tl(u(this.lng,-180,180),this.lat)},Tl.prototype.toArray=function(){return[this.lng,this.lat]},Tl.prototype.toString=function(){return"LngLat("+this.lng+", "+this.lat+")"},Tl.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new kl(new Tl(this.lng-r,this.lat-e),new Tl(this.lng+r,this.lat+e))},Tl.convert=function(t){if(t instanceof Tl)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Tl(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&"object"==typeof t&&null!==t)return new Tl(Number("lng"in t?t.lng:t.lon),Number(t.lat));throw new Error("`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]")};var Ll=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Ll.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Tl.convert(t);return new Ll(Ml(r.lng),Sl(r.lat),El(e,r.lat))},Ll.prototype.toLngLat=function(){return new Tl(360*this.x-180,Cl(this.y))},Ll.prototype.toAltitude=function(){return this.z*Al(Cl(this.y))};var Pl=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=Il(0,t,e,r)};Pl.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Pl.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=wl(256*r,256*(n=Math.pow(2,i)-n-1),i),o=wl(256*(r+1),256*(n+1),i),a[0]+","+a[1]+","+o[0]+","+o[1]),l=function(t,e,r){for(var n,i="",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return 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}",String(this.z)).replace("{x}",String(this.x)).replace("{y}",String("tms"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace("{quadkey}",l).replace("{bbox-epsg-3857}",s)},Pl.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new i((t.x*e-this.x)*ha,(t.y*e-this.y)*ha)};var Ol=function(t,e){this.wrap=t,this.canonical=e,this.key=Il(t,e.z,e.x,e.y)},zl=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new Pl(r,+n,+i),this.key=Il(e,t,n,i)};function Il(t,e,r,n){(t*=2)<0&&(t=-1*t-1);var i=1<<e;return 32*(i*i*t+i*n+r)+e}zl.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},zl.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new zl(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new zl(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},zl.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},zl.prototype.children=function(t){if(this.overscaledZ>=t)return[new zl(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new zl(e,this.wrap,e,r,n),new zl(e,this.wrap,e,r+1,n),new zl(e,this.wrap,e,r,n+1),new zl(e,this.wrap,e,r+1,n+1)]},zl.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},zl.prototype.wrapped=function(){return new zl(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},zl.prototype.unwrapTo=function(t){return new zl(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},zl.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},zl.prototype.toUnwrapped=function(){return new Ol(this.wrap,this.canonical)},zl.prototype.toString=function(){return this.overscaledZ+"/"+this.canonical.x+"/"+this.canonical.y},zl.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Ll(t.x-this.wrap,t.y))},kn("CanonicalTileID",Pl),kn("OverscaledTileID",zl,{omit:["posMatrix"]});var Dl=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError("DEM tiles must be square");if(r&&"mapbox"!==r&&"terrarium"!==r)return w('"'+r+'" is not a valid encoding type. Valid types include "mapbox" and "terrarium".');var n=this.dim=e.height;this.stride=this.dim+2,this.data=new Int32Array(this.stride*this.stride);for(var i=e.data,a="terrarium"===r?this._unpackTerrarium:this._unpackMapbox,o=0;o<n;o++)for(var s=0;s<n;s++){var l=4*(o*n+s);this.set(s,o,a(i[l],i[l+1],i[l+2]))}for(var c=0;c<n;c++)this.set(-1,c,this.get(0,c)),this.set(n,c,this.get(n-1,c)),this.set(c,-1,this.get(c,0)),this.set(c,n,this.get(c,n-1));this.set(-1,-1,this.get(0,0)),this.set(n,-1,this.get(n-1,0)),this.set(-1,n,this.get(0,n-1)),this.set(n,n,this.get(n-1,n-1))};Dl.prototype.set=function(t,e,r){this.data[this._idx(t,e)]=r+65536},Dl.prototype.get=function(t,e){return this.data[this._idx(t,e)]-65536},Dl.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError("out of range source coordinates for DEM data");return(e+1)*this.stride+(t+1)},Dl.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Dl.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Dl.prototype.getPixels=function(){return new Ha({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Dl.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error("dem dimension mismatch");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,c=a;c<o;c++)for(var u=n;u<i;u++)this.set(u,c,t.get(u+s,c+l))},kn("DEMData",Dl);var Rl=oi([{name:"a_pos",type:"Int16",components:2},{name:"a_texture_pos",type:"Int16",components:2}]),Fl=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};Fl.prototype.encode=function(t){return this._stringToNumber[t]},Fl.prototype.decode=function(t){return this._numberToString[t]};var Bl=function(t,e,r,n){this.type="Feature",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,null!=t.id&&(this.id=t.id)},Nl={geometry:{configurable:!0}};Nl.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},Nl.geometry.set=function(t){this._geometry=t},Bl.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)"_geometry"!==e&&"_vectorTileFeature"!==e&&(t[e]=this[e]);return t},Object.defineProperties(Bl.prototype,Nl);var jl=function(){this.state={},this.stateChanges={},this.deletedStates={}};jl.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},h(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r)this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]},jl.prototype.removeFeatureState=function(t,e,r){if(null!==this.deletedStates[t]){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e&&e>=0)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e&&e>=0)if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null;else this.deletedStates[t]=null}},jl.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=h({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},jl.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},jl.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),h(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var c in this.deletedStates[o]){if(null===this.deletedStates[o][c])this.state[o][c]={};else for(var u=0,f=Object.keys(this.deletedStates[o][c]);u<f.length;u+=1){var p=f[u];delete this.state[o][c][p]}s[c]=this.state[o][c]}r[o]=r[o]||{},h(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t)t[d].setFeatureState(r,e)};var Ul=function(t,e,r){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=e||new yn(ha,16,0),this.grid3D=new yn(ha,16,0),this.featureIndexArray=r||new ji};function Vl(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function ql(t,e){return e-t}Ul.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var c=e[l],u=[1/0,1/0,-1/0,-1/0],h=0;h<c.length;h++){var f=c[h];u[0]=Math.min(u[0],f.x),u[1]=Math.min(u[1],f.y),u[2]=Math.max(u[2],f.x),u[3]=Math.max(u[3],f.y)}u[0]<ha&&u[1]<ha&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},Ul.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Vo.VectorTile(new Qs(this.rawTileData)).layers,this.sourceLayerCoder=new Fl(this.vtLayers?Object.keys(this.vtLayers).sort():["_geojsonTileLayer"])),this.vtLayers},Ul.prototype.query=function(t,e,r){var n=this;this.loadVTLayers();for(var a=t.params||{},o=ha/t.tileSize/t.scale,s=Gr(a.filter),l=t.queryGeometry,c=t.queryPadding*o,u=Vl(l),h=this.grid.query(u.minX-c,u.minY-c,u.maxX+c,u.maxY+c),f=Vl(t.cameraQueryGeometry),p=0,d=this.grid3D.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c,function(e,r,n,a){return function(t,e,r,n,a){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&a>=l.y)return!0}var c=[new i(e,r),new i(e,a),new i(n,a),new i(n,r)];if(t.length>2)for(var u=0,h=c;u<h.length;u+=1)if(Aa(t,h[u]))return!0;for(var f=0;f<t.length-1;f++)if(Ma(t[f],t[f+1],c))return!0;return!1}(t.cameraQueryGeometry,e-c,r-c,n+c,a+c)});p<d.length;p+=1){var g=d[p];h.push(g)}h.sort(ql);for(var v,m={},y=function(i){var c=h[i];if(c!==v){v=c;var u=n.featureIndexArray.get(c),f=null;n.loadMatchingFeature(m,u.bucketIndex,u.sourceLayerIndex,u.featureIndex,s,a.layers,e,function(e,i){f||(f=pa(e));var a={};return e.id&&(a=r.getState(i.sourceLayer||"_geojsonTileLayer",e.id)),i.queryIntersectsFeature(l,e,a,f,n.z,t.transform,o,t.pixelPosMatrix)})}},x=0;x<h.length;x++)y(x);return m},Ul.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s){var l=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,l)){var c=this.sourceLayerCoder.decode(r),u=this.vtLayers[c].feature(n);if(i(new Un(this.tileID.overscaledZ),u))for(var h=0;h<l.length;h++){var f=l[h];if(!(a&&a.indexOf(f)<0)){var p=o[f];if(p){var d=!s||s(u,p);if(d){var g=new Bl(u,this.z,this.x,this.y);g.layer=p.serialize();var v=t[f];void 0===v&&(v=t[f]=[]),v.push({featureIndex:n,feature:g,intersectionZ:d})}}}}}},Ul.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a){var o={};this.loadVTLayers();for(var s=Gr(n),l=0,c=t;l<c.length;l+=1){var u=c[l];this.loadMatchingFeature(o,e,r,u,s,i,a)}return o},Ul.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1)if(t===i[n])return!0;return!1},kn("FeatureIndex",Ul,{omit:["rawTileData","sourceLayerCoder"]});var Hl=function(t,e){this.tileID=t,this.uid=p(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.expiredRequestCount=0,this.state="loading"};Hl.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<z.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},Hl.prototype.wasRequested=function(){return"errored"===this.state||"loaded"===this.state||"reloading"===this.state},Hl.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state="loaded",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map(function(t){return e.getLayer(t)}).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map(function(t){return n.filter(function(e){return e.id===t})[0]}));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof Os){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}for(var a in this.queryPadding=0,this.buckets){var o=this.buckets[a];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(a).queryRadius(o))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new Li},Hl.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state="unloaded"},Hl.prototype.unloadDEMData=function(){this.dem=null,this.neighboringTiles=null,this.state="unloaded"},Hl.prototype.getBucket=function(t){return this.buckets[t.id]},Hl.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Js(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Js(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},Hl.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},Hl.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:r,cameraQueryGeometry:n,scale:i,tileSize:this.tileSize,pixelPosMatrix:l,transform:o,params:a,queryPadding:this.queryPadding*s},t,e):{}},Hl.prototype.querySourceFeatures=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData){var r=this.latestFeatureIndex.loadVTLayers(),n=e?e.sourceLayer:"",i=r._geojsonTileLayer||r[n];if(i)for(var a=Gr(e&&e.filter),o=this.tileID.canonical,s=o.z,l=o.x,c=o.y,u={z:s,x:l,y:c},h=0;h<i.length;h++){var f=i.feature(h);if(a(new Un(this.tileID.overscaledZ),f)){var p=new Bl(f,s,l,c);p.tile=u,t.push(p)}}}},Hl.prototype.clearMask=function(){this.segments&&(this.segments.destroy(),delete this.segments),this.maskedBoundsBuffer&&(this.maskedBoundsBuffer.destroy(),delete this.maskedBoundsBuffer),this.maskedIndexBuffer&&(this.maskedIndexBuffer.destroy(),delete this.maskedIndexBuffer)},Hl.prototype.setMask=function(t,e){if(!o(this.mask,t)&&(this.mask=t,this.clearMask(),!o(t,{0:!0}))){var r=new ci,n=new Ti;this.segments=new Vi,this.segments.prepareSegment(0,r,n);for(var a=Object.keys(t),s=0;s<a.length;s++){var l=t[+a[s]],c=ha>>l.z,u=new i(l.x*c,l.y*c),h=new i(u.x+c,u.y+c),f=this.segments.prepareSegment(4,r,n);r.emplaceBack(u.x,u.y,u.x,u.y),r.emplaceBack(h.x,u.y,h.x,u.y),r.emplaceBack(u.x,h.y,u.x,h.y),r.emplaceBack(h.x,h.y,h.x,h.y);var p=f.vertexLength;n.emplaceBack(p,p+1,p+2),n.emplaceBack(p+1,p+2,p+3),f.vertexLength+=4,f.primitiveLength+=2}this.maskedBoundsBuffer=e.createVertexBuffer(r,Rl.members),this.maskedIndexBuffer=e.createIndexBuffer(n)}},Hl.prototype.hasData=function(){return"loaded"===this.state||"reloading"===this.state||"expired"===this.state},Hl.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},Hl.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=A(t.cacheControl);r["max-age"]&&(this.expirationTime=Date.now()+1e3*r["max-age"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state="expired"):this.expiredRequestCount=0}},Hl.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},Hl.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets){var i=this.buckets[n],a=i.layers[0].sourceLayer||"_geojsonTileLayer",o=r[a],s=t[a];o&&s&&0!==Object.keys(s).length&&(i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{}),e&&e.style&&(this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(n).queryRadius(i))))}}},Hl.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},Hl.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<z.now()},Hl.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},Hl.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=z.now()+t};var Gl=24,Yl={horizontal:1,vertical:2,horizontalOnly:3},Wl=function(){this.text="",this.sectionIndex=[],this.sections=[]};function Xl(t,e,r,n,i,a,o,s,l,c){var u,h=Wl.fromFeature(t,r);c===Yl.vertical&&h.verticalizePunctuation();var f=jn.processBidirectionalText,p=jn.processStyledBidirectionalText;if(f&&1===h.sections.length){u=[];for(var d=0,g=f(h.toString(),tc(h,s,n,e));d<g.length;d+=1){var v=g[d],m=new Wl;m.text=v,m.sections=h.sections;for(var y=0;y<v.length;y++)m.sectionIndex.push(0);u.push(m)}}else if(p){u=[];for(var x=0,b=p(h.text,h.sectionIndex,tc(h,s,n,e));x<b.length;x+=1){var _=b[x],w=new Wl;w.text=_[0],w.sectionIndex=_[1],w.sections=h.sections,u.push(w)}}else u=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(h,tc(h,s,n,e));var k=[],T={positionedGlyphs:k,text:h.toString(),top:l[1],bottom:l[1],left:l[0],right:l[0],writingMode:c,lineCount:u.length};return function(t,e,r,n,i,a,o,s){for(var l=0,c=-17,u=0,h=t.positionedGlyphs,f="right"===a?1:"left"===a?0:.5,p=0,d=r;p<d.length;p+=1){var g=d[p];g.trim();var v=g.getMaxScale();if(g.length()){for(var m=h.length,y=0;y<g.length();y++){var x=g.getSection(y),b=g.getCharCode(y),_=24*(v-x.scale),w=e[x.fontStack],k=w&&w[b];k&&(On(b)&&o!==Yl.horizontal?(h.push({glyph:b,x:l,y:_,vertical:!0,scale:x.scale,fontStack:x.fontStack}),l+=Gl*x.scale+s):(h.push({glyph:b,x:l,y:c+_,vertical:!1,scale:x.scale,fontStack:x.fontStack}),l+=k.metrics.advance*x.scale+s))}if(h.length!==m){var T=l-s;u=Math.max(T,u),rc(h,e,m,h.length-1,f)}l=0,c+=n*v}else c+=n}var A=ec(i),M=A.horizontalAlign,S=A.verticalAlign;!function(t,e,r,n,i,a,o){for(var s=(e-r)*i,l=(-n*o+.5)*a,c=0;c<t.length;c++)t[c].x+=s,t[c].y+=l}(h,f,M,S,u,n,r.length);var E=c- -17;t.top+=-S*E,t.bottom=t.top+E,t.left+=-M*u,t.right=t.left+u}(T,e,u,i,a,o,c,s),!!k.length&&T}Wl.fromFeature=function(t,e){for(var r=new Wl,n=0;n<t.sections.length;n++){var i=t.sections[n];r.sections.push({scale:i.scale||1,fontStack:i.fontStack||e}),r.text+=i.text;for(var a=0;a<i.text.length;a++)r.sectionIndex.push(n)}return r},Wl.prototype.length=function(){return this.text.length},Wl.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},Wl.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},Wl.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e="",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;n&&zn(n)&&!xs[t[r+1]]||i&&zn(i)&&!xs[t[r-1]]||!xs[t[r]]?e+=t[r]:e+=xs[t[r]]}return e}(this.text)},Wl.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&Zl[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&Zl[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},Wl.prototype.substring=function(t,e){var r=new Wl;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},Wl.prototype.toString=function(){return this.text},Wl.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce(function(e,r){return Math.max(e,t.sections[r].scale)},0)};var Zl={9:!0,10:!0,11:!0,12:!0,13:!0,32:!0},Jl={};function Kl(t,e,r,n){var i=Math.pow(t-e,2);return n?t<e?i/2:2*i:i+Math.abs(r)*r}function $l(t,e,r){var n=0;return 10===t&&(n-=1e4),r&&(n+=150),40!==t&&65288!==t||(n+=50),41!==e&&65289!==e||(n+=50),n}function Ql(t,e,r,n,i,a){for(var o=null,s=Kl(e,r,i,a),l=0,c=n;l<c.length;l+=1){var u=c[l],h=Kl(e-u.x,r,i,a)+u.badness;h<=s&&(o=u,s=h)}return{index:t,x:e,priorBreak:o,badness:s}}function tc(t,e,r,n){if(!r)return[];if(!t)return[];for(var i,a=[],o=function(t,e,r,n){for(var i=0,a=0;a<t.length();a++){var o=t.getSection(a),s=n[o.fontStack],l=s&&s[t.getCharCode(a)];l&&(i+=l.metrics.advance*o.scale+e)}return i/Math.max(1,Math.ceil(i/r))}(t,e,r,n),s=t.text.indexOf("\u200b")>=0,l=0,c=0;c<t.length();c++){var u=t.getSection(c),h=t.getCharCode(c),f=n[u.fontStack],p=f&&f[h];if(p&&!Zl[h]&&(l+=p.metrics.advance*u.scale+e),c<t.length()-1){var d=!((i=h)<11904||!(En["Bopomofo Extended"](i)||En.Bopomofo(i)||En["CJK Compatibility Forms"](i)||En["CJK Compatibility Ideographs"](i)||En["CJK Compatibility"](i)||En["CJK Radicals Supplement"](i)||En["CJK Strokes"](i)||En["CJK Symbols and Punctuation"](i)||En["CJK Unified Ideographs Extension A"](i)||En["CJK Unified Ideographs"](i)||En["Enclosed CJK Letters and Months"](i)||En["Halfwidth and Fullwidth Forms"](i)||En.Hiragana(i)||En["Ideographic Description Characters"](i)||En["Kangxi Radicals"](i)||En["Katakana Phonetic 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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=[],c=0;s<r/2;){var u=t[o-1],h=t[o],f=t[o+1];if(!f)return!1;var p=u.angleTo(h)-h.angleTo(f);for(p=Math.abs((p+3*Math.PI)%(2*Math.PI)-Math.PI),l.push({distance:s,angleDelta:p}),c+=p;s-l[0].distance>n;)c-=l.shift().angleDelta;if(c>i)return!1;o++,s+=h.dist(f)}return!0}function ac(t){for(var e=0,r=0;r<t.length-1;r++)e+=t[r].dist(t[r+1]);return e}function oc(t,e,r){return t?.6*e*r:0}function sc(t,e){return Math.max(t?t.right-t.left:0,e?e.right-e.left:0)}function lc(t,e,r,n,i,a){for(var o=oc(r,i,a),s=sc(r,n)*a,l=0,c=ac(t)/2,u=0;u<t.length-1;u++){var h=t[u],f=t[u+1],p=h.dist(f);if(l+p>c){var d=(c-l)/p,g=Ee(h.x,f.x,d),v=Ee(h.y,f.y,d),m=new bs(g,v,f.angleTo(h),u);return m._round(),!o||ic(t,m,s,o,e)?m:void 0}l+=p}}function cc(t,e,r,n,i,a,o,s,l){var c=oc(n,a,o),u=sc(n,i),h=u*o,f=0===t[0].x||t[0].x===l||0===t[0].y||t[0].y===l;return e-h<e/4&&(e=h+e/4),function t(e,r,n,i,a,o,s,l,c){for(var u=o/2,h=ac(e),f=0,p=r-n,d=[],g=0;g<e.length-1;g++){for(var v=e[g],m=e[g+1],y=v.dist(m),x=m.angleTo(v);p+n<f+y;){var b=((p+=n)-f)/y,_=Ee(v.x,m.x,b),w=Ee(v.y,m.y,b);if(_>=0&&_<c&&w>=0&&w<c&&p-u>=0&&p+u<=h){var k=new bs(_,w,x,g);k._round(),i&&!ic(e,k,o,i,a)||d.push(k)}}f+=y}return l||d.length||s||(d=t(e,f/2,n,i,a,o,s,!0,c)),d}(t,f?e/2*s%e:(u/2+2*a)*o*s%e,e,c,r,h,f,!1,l)}Jl[10]=!0,Jl[32]=!0,Jl[38]=!0,Jl[40]=!0,Jl[41]=!0,Jl[43]=!0,Jl[45]=!0,Jl[47]=!0,Jl[173]=!0,Jl[183]=!0,Jl[8203]=!0,Jl[8208]=!0,Jl[8211]=!0,Jl[8231]=!0;var uc=function(t,e,r,n,a,o,s,l,c,u,h,f){var p=s.top*l-c,d=s.bottom*l+c,g=s.left*l-c,v=s.right*l+c;if(this.boxStartIndex=t.length,u){var m=d-p,y=v-g;m>0&&(m=Math.max(10*l,m),this._addLineCollisionCircles(t,e,r,r.segment,y,m,n,a,o,h))}else{if(f){var x=new i(g,p),b=new i(v,p),_=new i(g,d),w=new i(v,d),k=f*Math.PI/180;x._rotate(k),b._rotate(k),_._rotate(k),w._rotate(k),g=Math.min(x.x,b.x,_.x,w.x),v=Math.max(x.x,b.x,_.x,w.x),p=Math.min(x.y,b.y,_.y,w.y),d=Math.max(x.y,b.y,_.y,w.y)}t.emplaceBack(r.x,r.y,g,p,v,d,n,a,o,0,0)}this.boxEndIndex=t.length};uc.prototype._addLineCollisionCircles=function(t,e,r,n,i,a,o,s,l,c){var u=a/2,h=Math.floor(i/u)||1,f=1+.4*Math.log(c)/Math.LN2,p=Math.floor(h*f/2),d=-a/2,g=r,v=n+1,m=d,y=-i/2,x=y-i/4;do{if(--v<0){if(m>y)return;v=0;break}m-=e[v].dist(g),g=e[v]}while(m>x);for(var b=e[v].dist(e[v+1]),_=-p;_<h+p;_++){var w=_*u,k=y+w;if(w<0&&(k+=w),w>i&&(k+=w-i),!(k<m)){for(;m+b<k;){if(m+=b,++v+1>=e.length)return;b=e[v].dist(e[v+1])}var T=k-m,A=e[v],M=e[v+1].sub(A)._unit()._mult(T)._add(A)._round(),S=Math.abs(k-d)<u?0:.8*(k-d);t.emplaceBack(M.x,M.y,-a/2,-a/2,a/2,a/2,o,s,l,a/2,S)}}};var hc=function(t,e){if(void 0===t&&(t=[]),void 0===e&&(e=fc),this.data=t,this.length=this.data.length,this.compare=e,this.length>0)for(var r=(this.length>>1)-1;r>=0;r--)this._down(r)};function fc(t,e){return t<e?-1:t>e?1:0}function pc(t,e,r){void 0===e&&(e=1),void 0===r&&(r=!1);for(var n=1/0,a=1/0,o=-1/0,s=-1/0,l=t[0],c=0;c<l.length;c++){var u=l[c];(!c||u.x<n)&&(n=u.x),(!c||u.y<a)&&(a=u.y),(!c||u.x>o)&&(o=u.x),(!c||u.y>s)&&(s=u.y)}var h=o-n,f=s-a,p=Math.min(h,f),d=p/2,g=new hc([],dc);if(0===p)return new i(n,a);for(var v=n;v<o;v+=p)for(var m=a;m<s;m+=p)g.push(new gc(v+d,m+d,d,t));for(var y=function(t){for(var e=0,r=0,n=0,i=t[0],a=0,o=i.length,s=o-1;a<o;s=a++){var l=i[a],c=i[s],u=l.x*c.y-c.x*l.y;r+=(l.x+c.x)*u,n+=(l.y+c.y)*u,e+=3*u}return new gc(r/e,n/e,0,t)}(t),x=g.length;g.length;){var b=g.pop();(b.d>y.d||!y.d)&&(y=b,r&&console.log("found best %d after %d probes",Math.round(1e4*b.d)/1e4,x)),b.max-y.d<=e||(d=b.h/2,g.push(new gc(b.p.x-d,b.p.y-d,d,t)),g.push(new gc(b.p.x+d,b.p.y-d,d,t)),g.push(new gc(b.p.x-d,b.p.y+d,d,t)),g.push(new gc(b.p.x+d,b.p.y+d,d,t)),x+=4)}return r&&(console.log("num probes: "+x),console.log("best distance: "+y.d)),y.p}function dc(t,e){return e.max-t.max}function gc(t,e,r,n){this.p=new i(t,e),this.h=r,this.d=function(t,e){for(var r=!1,n=1/0,i=0;i<e.length;i++)for(var a=e[i],o=0,s=a.length,l=s-1;o<s;l=o++){var c=a[o],u=a[l];c.y>t.y!=u.y>t.y&&t.x<(u.x-c.x)*(t.y-c.y)/(u.y-c.y)+c.x&&(r=!r),n=Math.min(n,ka(t,c,u))}return(r?1:-1)*Math.sqrt(n)}(this.p,n),this.max=this.d+this.h*Math.SQRT2}hc.prototype.push=function(t){this.data.push(t),this.length++,this._up(this.length-1)},hc.prototype.pop=function(){if(0!==this.length){var t=this.data[0];return this.length--,this.length>0&&(this.data[0]=this.data[this.length],this._down(0)),this.data.pop(),t}},hc.prototype.peek=function(){return this.data[0]},hc.prototype._up=function(t){for(var e=this.data,r=this.compare,n=e[t];t>0;){var i=t-1>>1,a=e[i];if(r(n,a)>=0)break;e[t]=a,t=i}e[t]=n},hc.prototype._down=function(t){for(var e=this.data,r=this.compare,n=this.length>>1,i=e[t];t<n;){var a=1+(t<<1),o=e[a],s=a+1;if(s<this.length&&r(e[s],o)<0&&(a=s,o=e[s]),r(o,i)>=0)break;e[t]=o,t=a}e[t]=i};var vc=e(function(t){t.exports=function(t,e){var r,n,i,a,o,s,l,c;for(r=3&t.length,n=t.length-r,i=e,o=3432918353,s=461845907,c=0;c<n;)l=255&t.charCodeAt(c)|(255&t.charCodeAt(++c))<<8|(255&t.charCodeAt(++c))<<16|(255&t.charCodeAt(++c))<<24,++c,i=27492+(65535&(a=5*(65535&(i=(i^=l=(65535&(l=(l=(65535&l)*o+(((l>>>16)*o&65535)<<16)&4294967295)<<15|l>>>17))*s+(((l>>>16)*s&65535)<<16)&4294967295)<<13|i>>>19))+((5*(i>>>16)&65535)<<16)&4294967295))+((58964+(a>>>16)&65535)<<16);switch(l=0,r){case 3:l^=(255&t.charCodeAt(c+2))<<16;case 2:l^=(255&t.charCodeAt(c+1))<<8;case 1:i^=l=(65535&(l=(l=(65535&(l^=255&t.charCodeAt(c)))*o+(((l>>>16)*o&65535)<<16)&4294967295)<<15|l>>>17))*s+(((l>>>16)*s&65535)<<16)&4294967295}return 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bt(t,e){var r=[];r.size=t.size,void 0!==t.start&&(r.start=t.start,r.end=t.end);for(var n=0;n<t.length;n+=3)r.push(t[n]+e,t[n+1],t[n+2]);return r}function _t(t,e){if(t.transformed)return t;var r,n,i,a=1<<t.z,o=t.x,s=t.y;for(r=0;r<t.features.length;r++){var l=t.features[r],c=l.geometry,u=l.type;if(l.geometry=[],1===u)for(n=0;n<c.length;n+=2)l.geometry.push(wt(c[n],c[n+1],e,a,o,s));else for(n=0;n<c.length;n++){var h=[];for(i=0;i<c[n].length;i+=2)h.push(wt(c[n][i],c[n][i+1],e,a,o,s));l.geometry.push(h)}}return t.transformed=!0,t}function wt(t,e,r,n,i,a){return[Math.round(r*(t*n-i)),Math.round(r*(e*n-a))]}function kt(t,e,r,n,i){for(var a=e===i.maxZoom?0:i.tolerance/((1<<e)*i.extent),o={features:[],numPoints:0,numSimplified:0,numFeatures:0,source:null,x:r,y:n,z:e,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0},s=0;s<t.length;s++){o.numFeatures++,Tt(o,t[s],a,i);var l=t[s].minX,c=t[s].minY,u=t[s].maxX,h=t[s].maxY;l<o.minX&&(o.minX=l),c<o.minY&&(o.minY=c),u>o.maxX&&(o.maxX=u),h>o.maxY&&(o.maxY=h)}return o}function Tt(t,e,r,n){var i=e.geometry,a=e.type,o=[];if("Point"===a||"MultiPoint"===a)for(var s=0;s<i.length;s+=3)o.push(i[s]),o.push(i[s+1]),t.numPoints++,t.numSimplified++;else if("LineString"===a)At(o,i,t,r,!1,!1);else if("MultiLineString"===a||"Polygon"===a)for(s=0;s<i.length;s++)At(o,i[s],t,r,"Polygon"===a,0===s);else if("MultiPolygon"===a)for(var l=0;l<i.length;l++){var c=i[l];for(s=0;s<c.length;s++)At(o,c[s],t,r,!0,0===s)}if(o.length){var u=e.tags||null;if("LineString"===a&&n.lineMetrics){for(var h in u={},e.tags)u[h]=e.tags[h];u.mapbox_clip_start=i.start/i.size,u.mapbox_clip_end=i.end/i.size}var f={geometry:o,type:"Polygon"===a||"MultiPolygon"===a?3:"LineString"===a||"MultiLineString"===a?2:1,tags:u};null!==e.id&&(f.id=e.id),t.features.push(f)}}function At(t,e,r,n,i,a){var o=n*n;if(n>0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n<i;a=n,n+=2)r+=(t[n]-t[a])*(t[n+1]+t[a+1]);if(r>0===e)for(n=0,i=t.length;n<i/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[i-2-n],t[n+1]=t[i-1-n],t[i-2-n]=o,t[i-1-n]=s}}(s,a),t.push(s)}}function Mt(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time("preprocess data"),e.maxZoom<0||e.maxZoom>24)throw new Error("maxZoom should be in the 0-24 range");if(e.promoteId&&e.generateId)throw new Error("promoteId and generateId cannot be used together.");var n=function(t,e){var r=[];if("FeatureCollection"===t.type)for(var n=0;n<t.features.length;n++)at(r,t.features[n],e,n);else"Feature"===t.type?at(r,t,e):at(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd("preprocess data"),console.log("index: maxZoom: %d, maxPoints: %d",e.indexMaxZoom,e.indexMaxPoints),console.time("generate tiles"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,i=ht(t,1,-1-r,r,0,-1,2,e),a=ht(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=ht(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=xt(i,1).concat(n)),a&&(n=n.concat(xt(a,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log("features: %d, points: %d",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd("generate tiles"),console.log("tiles generated:",this.total,JSON.stringify(this.stats)))}function St(t,e,r){return 32*((1<<t)*r+e)+t}function Et(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new k(n.features),a=E(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}Y.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time("total time");var o="prepare "+t.length+" points";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(X(t[l],l));this.trees[i+1]=new H(s,tt,et,a,Float32Array),r&&console.timeEnd(o);for(var c=i;c>=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new H(s,tt,et,a,Float32Array),r&&console.log("z%d: %d clusters in %dms",c,s.length,+Date.now()-u)}return r&&console.timeEnd("total time"),this},Y.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,h=l.range(K(r),$(a),K(i),$(n));u<h.length;u+=1){var f=h[u],p=l.points[f];c.push(p.numPoints?Z(p):this.points[p.index])}return c},Y.prototype.getChildren=function(t){var e=t>>5,r=t%32,n="No cluster with the specified id.",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,c=i.within(a.x,a.y,o);l<c.length;l+=1){var u=c[l],h=i.points[u];h.parentId===t&&s.push(h.numPoints?Z(h):this.points[h.index])}if(0===s.length)throw new Error(n);return s},Y.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},Y.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,c=(r+1+s)/i,u={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,c),n.points,e,r,i,u),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,c),n.points,i,r,i,u),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,c),n.points,-1,r,i,u),u.features.length?u:null},Y.prototype.getClusterExpansionZoom=function(t){for(var e=t%32-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},Y.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},Y.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],c={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:l.numPoints?J(l):this.points[l.index].properties},u=l.numPoints?l.id:this.points[l.index].id;void 0!==u&&(c.id=u),a.features.push(c)}},Y.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},Y.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=i/(a*Math.pow(2,e)),l=0;l<t.length;l++){var c=t[l];if(!(c.zoom<=e)){c.zoom=e;for(var u=this.trees[e+1],h=u.within(c.x,c.y,s),f=c.numPoints||1,p=c.x*f,d=c.y*f,g=o?this._map(c,!0):null,v=(l<<5)+(e+1),m=0,y=h;m<y.length;m+=1){var x=y[m],b=u.points[x];if(!(b.zoom<=e)){b.zoom=e;var _=b.numPoints||1;p+=b.x*_,d+=b.y*_,f+=_,b.parentId=v,o&&o(g,this._map(b))}}1===f?r.push(c):(c.parentId=v,r.push(W(p/f,d/f,v,f,g)))}}return r},Y.prototype._map=function(t,e){if(t.numPoints)return e?Q({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?Q({},n):n},Mt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Mt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<<e,h=St(e,r,n),f=this.tiles[h];if(!f&&(c>1&&console.time("creation"),f=this.tiles[h]=kt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log("tile z%d-%d-%d (features: %d, points: %d, simplified: %d)",e,r,n,f.numFeatures,f.numPoints,f.numSimplified),console.timeEnd("creation"));var p="z"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(f.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||f.numPoints<=l.indexMaxPoints)continue;if(f.source=null,0!==t.length){c>1&&console.time("clipping");var g,v,m,y,x,b,_=.5*l.buffer/l.extent,w=.5-_,k=.5+_,T=1+_;g=v=m=y=null,x=ht(t,u,r-_,r+k,0,f.minX,f.maxX,l),b=ht(t,u,r+w,r+T,0,f.minX,f.maxX,l),t=null,x&&(g=ht(x,u,n-_,n+k,1,f.minY,f.maxY,l),v=ht(x,u,n+w,n+T,1,f.minY,f.maxY,l),x=null),b&&(m=ht(b,u,n-_,n+k,1,f.minY,f.maxY,l),y=ht(b,u,n+w,n+T,1,f.minY,f.maxY,l),b=null),c>1&&console.timeEnd("clipping"),s.push(g||[],e+1,2*r,2*n),s.push(v||[],e+1,2*r,2*n+1),s.push(m||[],e+1,2*r+1,2*n),s.push(y||[],e+1,2*r+1,2*n+1)}}},Mt.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=St(t,e=(e%o+o)%o,r);if(this.tiles[s])return _t(this.tiles[s],i);a>1&&console.log("drilling down to z%d-%d-%d",t,e,r);for(var l,c=t,u=e,h=r;!l&&c>0;)c--,u=Math.floor(u/2),h=Math.floor(h/2),l=this.tiles[St(c,u,h)];return l&&l.source?(a>1&&console.log("found parent tile z%d-%d-%d",c,u,h),a>1&&console.time("drilling down"),this.splitTile(l.source,c,u,h,t,e,r),a>1&&console.timeEnd("drilling down"),this.tiles[s]?_t(this.tiles[s],i):null):null};var Ct=function(e){function r(t,r,n){e.call(this,t,r,Et),n&&(this.loadGeoJSON=n)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&"Idle"!==this._state?this._state="NeedsLoadData":(this._state="Coalescing",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new l.Performance(n.request);this.loadGeoJSON(n,function(a,o){if(a||!o)return r(a);if("object"!=typeof o)return r(new Error("Input data given to '"+n.source+"' is not a valid GeoJSON object."));!function t(e,r){switch(e&&e.type||null){case"FeatureCollection":return e.features=e.features.map(y(t,r)),e;case"GeometryCollection":return e.geometries=e.geometries.map(y(t,r)),e;case"Feature":return e.geometry=t(e.geometry,r),e;case"Polygon":case"MultiPolygon":return function(t,e){return"Polygon"===t.type?t.coordinates=x(t.coordinates,e):"MultiPolygon"===t.type&&(t.coordinates=t.coordinates.map(y(x,e))),t}(e,r);default:return e}}(o,!0);try{e._geoJSONIndex=n.cluster?new Y(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c<u.length;c+=1){var h=u[c],f=n[h],p=f[0],d=f[1],g=t.createExpression(d),v=t.createExpression("string"==typeof p?[p,["accumulated"],["get",h]]:p);i[h]=g.value,a[h]=v.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var a=n[r];e[a]=i[a].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):new Mt(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var s={};if(i){var l=i.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)})}},r.prototype.coalesce=function(){"Coalescing"===this._state?this._state="Idle":"NeedsLoadData"===this._state&&(this._state="Coalescing",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if("string"!=typeof e.data)return r(new Error("Input data given to '"+e.source+"' is not a valid GeoJSON object."));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error("Input data given to '"+e.source+"' is not a valid GeoJSON object."))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))},r.prototype.getClusterChildren=function(t,e){e(null,this._geoJSONIndex.getChildren(t.clusterId))},r.prototype.getClusterLeaves=function(t,e){e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))},r}(h),Lt=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.workerSourceTypes={vector:h,geojson:Ct},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name "'+t+'" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isLoaded())throw new Error("RTL text plugin already 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Lt.prototype.setReferrer=function(t,e){this.referrer=e},Lt.prototype.setLayers=function(t,e,r){this.getLayerIndex(t).replace(e),r()},Lt.prototype.updateLayers=function(t,e,r){this.getLayerIndex(t).update(e.layers,e.removedIds),r()},Lt.prototype.loadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).loadTile(e,r)},Lt.prototype.loadDEMTile=function(t,e,r){this.getDEMWorkerSource(t,e.source).loadTile(e,r)},Lt.prototype.reloadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).reloadTile(e,r)},Lt.prototype.abortTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).abortTile(e,r)},Lt.prototype.removeTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).removeTile(e,r)},Lt.prototype.removeDEMTile=function(t,e){this.getDEMWorkerSource(t,e.source).removeTile(e)},Lt.prototype.removeSource=function(t,e,r){if(this.workerSources[t]&&this.workerSources[t][e.type]&&this.workerSources[t][e.type][e.source]){var n=this.workerSources[t][e.type][e.source];delete this.workerSources[t][e.type][e.source],void 0!==n.removeSource?n.removeSource(e,r):r()}},Lt.prototype.loadWorkerSource=function(t,e,r){try{this.self.importScripts(e.url),r()}catch(t){r(t.toString())}},Lt.prototype.loadRTLTextPlugin=function(e,r,n){try{t.plugin.isLoaded()||(this.self.importScripts(r),n(t.plugin.isLoaded()?null:new Error("RTL Text Plugin failed to import scripts from "+r)))}catch(t){n(t.toString())}},Lt.prototype.getLayerIndex=function(t){var e=this.layerIndexes[t];return e||(e=this.layerIndexes[t]=new n),e},Lt.prototype.getWorkerSource=function(t,e,r){var n=this;if(this.workerSources[t]||(this.workerSources[t]={}),this.workerSources[t][e]||(this.workerSources[t][e]={}),!this.workerSources[t][e][r]){var i={send:function(e,r,i){n.actor.send(e,r,i,t)}};this.workerSources[t][e][r]=new this.workerSourceTypes[e](i,this.getLayerIndex(t))}return this.workerSources[t][e][r]},Lt.prototype.getDEMWorkerSource=function(t,e){return this.demWorkerSources[t]||(this.demWorkerSources[t]={}),this.demWorkerSources[t][e]||(this.demWorkerSources[t][e]=new f),this.demWorkerSources[t][e]},Lt.prototype.enforceCacheSizeLimit=function(e,r){t.enforceCacheSizeLimit(r)},"undefined"!=typeof WorkerGlobalScope&&void 0!==t.window&&t.window instanceof WorkerGlobalScope&&(t.window.worker=new Lt(t.window)),Lt}),n(0,function(t){var e=t.createCommonjsModule(function(t){function e(t){return!!("undefined"!=typeof window&&"undefined"!=typeof document&&Array.prototype&&Array.prototype.every&&Array.prototype.filter&&Array.prototype.forEach&&Array.prototype.indexOf&&Array.prototype.lastIndexOf&&Array.prototype.map&&Array.prototype.some&&Array.prototype.reduce&&Array.prototype.reduceRight&&Array.isArray&&Function.prototype&&Function.prototype.bind&&Object.keys&&Object.create&&Object.getPrototypeOf&&Object.getOwnPropertyNames&&Object.isSealed&&Object.isFrozen&&Object.isExtensible&&Object.getOwnPropertyDescriptor&&Object.defineProperty&&Object.defineProperties&&Object.seal&&Object.freeze&&Object.preventExtensions&&"JSON"in window&&"parse"in JSON&&"stringify"in JSON&&function(){if(!("Worker"in window&&"Blob"in window&&"URL"in window))return!1;var t,e,r=new Blob([""],{type:"text/javascript"}),n=URL.createObjectURL(r);try{e=new Worker(n),t=!0}catch(e){t=!1}return e&&e.terminate(),URL.revokeObjectURL(n),t}()&&"Uint8ClampedArray"in window&&ArrayBuffer.isView&&function(t){return void 0===r[t]&&(r[t]=function(t){var r=document.createElement("canvas"),n=Object.create(e.webGLContextAttributes);return n.failIfMajorPerformanceCaveat=t,r.probablySupportsContext?r.probablySupportsContext("webgl",n)||r.probablySupportsContext("experimental-webgl",n):r.supportsContext?r.supportsContext("webgl",n)||r.supportsContext("experimental-webgl",n):r.getContext("webgl",n)||r.getContext("experimental-webgl",n)}(t)),r[t]}(t&&t.failIfMajorPerformanceCaveat))}t.exports?t.exports=e:window&&(window.mapboxgl=window.mapboxgl||{},window.mapboxgl.supported=e);var r={};e.webGLContextAttributes={antialias:!1,alpha:!0,stencil:!0,depth:!0}}),r={create:function(e,r,n){var i=t.window.document.createElement(e);return void 0!==r&&(i.className=r),n&&n.appendChild(i),i},createNS:function(e,r){return t.window.document.createElementNS(e,r)}},n=t.window.document.documentElement.style;function i(t){if(!n)return t[0];for(var e=0;e<t.length;e++)if(t[e]in n)return t[e];return t[0]}var a,o=i(["userSelect","MozUserSelect","WebkitUserSelect","msUserSelect"]);r.disableDrag=function(){n&&o&&(a=n[o],n[o]="none")},r.enableDrag=function(){n&&o&&(n[o]=a)};var s=i(["transform","WebkitTransform"]);r.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var c=Object.defineProperty({},"passive",{get:function(){l=!0}});t.window.addEventListener("test",c,c),t.window.removeEventListener("test",c,c)}catch(t){l=!1}r.addEventListener=function(t,e,r,n){void 0===n&&(n={}),"passive"in n&&l?t.addEventListener(e,r,n):t.addEventListener(e,r,n.capture)},r.removeEventListener=function(t,e,r,n){void 0===n&&(n={}),"passive"in n&&l?t.removeEventListener(e,r,n):t.removeEventListener(e,r,n.capture)};var u=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener("click",u,!0)};function h(t){var e=t.userImage;return!!(e&&e.render&&e.render())&&(t.data.replace(new Uint8Array(e.data.buffer)),!0)}r.suppressClick=function(){t.window.addEventListener("click",u,!0),t.window.setTimeout(function(){t.window.removeEventListener("click",u,!0)},0)},r.mousePos=function(e,r){var n=e.getBoundingClientRect(),i=t.window.TouchEvent&&r instanceof t.window.TouchEvent?r.touches[0]:r;return new t.Point(i.clientX-n.left-e.clientLeft,i.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var n=e.getBoundingClientRect(),i=[],a="touchend"===r.type?r.changedTouches:r.touches,o=0;o<a.length;o++)i.push(new t.Point(a[o].clientX-n.left-e.clientLeft,a[o].clientY-n.top-e.clientTop));return i},r.mouseButton=function(e){return void 0!==t.window.InstallTrigger&&2===e.button&&e.ctrlKey&&t.window.navigator.platform.toUpperCase().indexOf("MAC")>=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var f=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e<r.length;e+=1){var n=r[e],i=n.ids,a=n.callback;this._notify(i,a)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this.images[t]=e},r.prototype.updateImage=function(t,e){var r=this.images[t];e.version=r.version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.images[a]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event("styleimagemissing",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image "'+o+'" could not be loaded. Please make sure you have added the image with map.addImage() or a "sprite" property in your style. You can provide missing images by listening for the "styleimagemissing" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,c=l.x+1,u=l.y+1,h=this.images[s].data,f=h.width,p=h.height;t.RGBAImage.copy(h,o,{x:0,y:0},{x:c,y:u},{width:f,height:p}),t.RGBAImage.copy(h,o,{x:0,y:p-1},{x:c,y:u-1},{width:f,height:1}),t.RGBAImage.copy(h,o,{x:0,y:0},{x:c,y:u+p},{width:f,height:1}),t.RGBAImage.copy(h,o,{x:f-1,y:0},{x:c-1,y:u},{width:1,height:p}),t.RGBAImage.copy(h,o,{x:0,y:0},{x:c+f,y:u},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];h(i)&&this.updateImage(n,i)}}},r}(t.Evented),p=g,d=1e20;function g(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||"sans-serif",this.fontWeight=a||"normal",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement("canvas"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext("2d"),this.ctx.font=this.fontWeight+" "+this.fontSize+"px "+this.fontFamily,this.ctx.textBaseline="middle",this.ctx.fillStyle="black",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf("Gecko/")>=0?1.2:1))}function v(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(m(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(m(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function m(t,e,r,n,i){r[0]=0,n[0]=-d,n[1]=+d;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+d}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}g.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=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?d:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?d:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(v(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),v(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r};var y=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};y.prototype.setURL=function(t){this.url=t},y.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{}});var o=a.glyphs[i];if(void 0===o)if(o=n._tinySDF(a,r,i))e(null,{stack:r,id:i,glyph:o});else{var s=Math.floor(i/256);if(256*s>65535)e(new Error("glyphs > 65535 not supported"));else{var l=a.requests[s];l||(l=a.requests[s]=[],y.loadGlyphRange(r,s,n.url,n.requestManager,function(t,e){if(e)for(var r in e)a.glyphs[+r]=e[+r];for(var n=0,i=l;n<i.length;n+=1)(0,i[n])(t,e);delete a.requests[s]})),l.push(function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})})}}else e(null,{stack:r,id:i,glyph:o})},function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,c=o.glyph;(n[s]||(n[s]={}))[l]=c&&{id:c.id,bitmap:c.bitmap.clone(),metrics:c.metrics}}r(null,n)}})},y.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&(t.isChar["CJK Unified Ideographs"](n)||t.isChar["Hangul Syllables"](n)||t.isChar.Hiragana(n)||t.isChar.Katakana(n))){var a=e.tinySDF;if(!a){var o="400";/bold/i.test(r)?o="900":/medium/i.test(r)?o="500":/light/i.test(r)&&(o="200"),a=e.tinySDF=new y.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},y.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace("{fontstack}",e).replace("{range}",o+"-"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}})},y.TinySDF=p;var x=function(){this.specification=t.styleSpec.light.position};x.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},x.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var b=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new x,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),_=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(b),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,"-transition")?this._transitionable.setTransition(n.slice(0,-"-transition".length),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),w=function(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={}};w.prototype.getDash=function(t,e){var r=t.join(",")+String(e);return this.positions[r]||(this.positions[r]=this.addDash(t,e)),this.positions[r]},w.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce("LineAtlas out of space"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];for(var s=this.width/a,l=s/2,c=e.length%2==1,u=-n;u<=n;u++)for(var h=this.nextRow+n+u,f=this.width*h,p=c?-e[e.length-1]:0,d=e[0],g=1,v=0;v<this.width;v++){for(;d<v/s;)p=d,d+=e[g],c&&g===e.length-1&&(d+=e[0]),g++;var m=Math.abs(v-p*s),y=Math.abs(v-d*s),x=Math.min(m,y),b=g%2==1,_=void 0;if(r){var w=n?u/n*(l+1):0;if(b){var k=l-Math.abs(w);_=Math.sqrt(x*x+k*k)}else _=l-Math.sqrt(x*x+w*w)}else _=(b?1:-1)*x;this.data[3+4*(f+v)]=Math.max(0,Math.min(255,_+128))}var T={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,T},w.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.RGBA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),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,this.width,this.height,0,e.RGBA,e.UNSIGNED_BYTE,this.data))};var k=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name="Worker "+a,this.actors.push(s)}};function T(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(a,["tiles","minzoom","maxzoom","attribution","mapbox_logo","bounds"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map(function(t){return t.id})),e.url&&(o.tiles=r.canonicalizeTileset(o,e.url)),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame(function(){return i(null,e)})}k.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,function(t,n){t.send(e,r,n)},n)},k.prototype.send=function(t,e,r,n){return("number"!=typeof n||isNaN(n))&&(n=this.currentActor=(this.currentActor+1)%this.actors.length),this.actors[n].send(t,e,r),n},k.prototype.remove=function(){this.actors.forEach(function(t){t.remove()}),this.actors=[],this.workerPool.release(this.id)},k.Actor=t.Actor;var A=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};A.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},A.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var M=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type="vector",this.minzoom=0,this.maxzoom=22,this.scheme="xyz",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,t.extend(this,t.pick(n,["url","scheme","tileSize"])),this._options=t.extend({type:"vector"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error("vector tile sources must have a tileSize of 512");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event("dataloading",{dataType:"source"})),this._tileJSONRequest=T(this._options,this.map._requestManager,function(r,n){e._tileJSONRequest=null,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new A(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})))})},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.url,null),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes};function a(n,i){return e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,void 0===e.workerID||"expired"===e.state?e.workerID=this.dispatcher.send("loadTile",i,a.bind(this)):"loading"===e.state?e.reloadCallback=r:this.dispatcher.send("reloadTile",i,a.bind(this),e.workerID)},r.prototype.abortTile=function(t){this.dispatcher.send("abortTile",{uid:t.uid,type:this.type,source:this.id},void 0,t.workerID)},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.dispatcher.send("removeTile",{uid:t.uid,type:this.type,source:this.id},void 0,t.workerID)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),S=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type="raster",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme="xyz",this.tileSize=512,this._loaded=!1,this._options=t.extend({},n),t.extend(this,t.pick(n,["url","scheme","tileSize"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event("dataloading",{dataType:"source"})),this._tileJSONRequest=T(this._options,this.map._requestManager,function(r,n){e._tileJSONRequest=null,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new A(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})))})},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.url,this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),function(i,a){if(delete e.request,e.aborted)e.state="unloaded",r(null);else if(i)e.state="errored",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state="loaded",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}})},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),E=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type="raster-dem",this.maxzoom=22,this._options=t.extend({},n),this.encoding=n.encoding||"mapbox"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:"raster-dem",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.url,this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,i){if(delete e.request,e.aborted)e.state="unloaded",r(null);else if(n)e.state="errored",r(n);else if(i){this.map._refreshExpiredTiles&&e.setExpiryData(i),delete i.cacheControl,delete i.expires;var a=t.browser.getImageData(i),o={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:a,encoding:this.encoding};e.workerID&&"expired"!==e.state||(e.workerID=this.dispatcher.send("loadDEMTile",o,function(t,n){t&&(e.state="errored",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state="loaded",r(null))}.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state="unloaded",this.dispatcher.send("removeDEMTile",{uid:t.uid,source:this.id},void 0,t.workerID)},r}(S),C=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type="geojson",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this.dispatcher=i,this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution);var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event("dataloading",{dataType:"source"})),this._updateWorkerData(function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:"source",sourceDataType:"metadata"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event("data",n))}})},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event("dataloading",{dataType:"source"})),this._updateWorkerData(function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:"source",sourceDataType:"content"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event("data",n))}}),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.dispatcher.send("geojson.getClusterExpansionZoom",{clusterId:t,source:this.id},e,this.workerID),this},r.prototype.getClusterChildren=function(t,e){return this.dispatcher.send("geojson.getClusterChildren",{clusterId:t,source:this.id},e,this.workerID),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.dispatcher.send("geojson.getClusterLeaves",{source:this.id,clusterId:t,limit:e,offset:r},n,this.workerID),this},r.prototype._updateWorkerData=function(e){var r=this,n=t.extend({},this.workerOptions),i=this._data;"string"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.workerID=this.dispatcher.send(this.type+".loadData",n,function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.dispatcher.send(r.type+".coalesce",{source:n.source},null,r.workerID),e(t))},this.workerID)},r.prototype.loadTile=function(e,r){var n=this,i=void 0===e.workerID?"loadTile":"reloadTile",a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes};e.workerID=this.dispatcher.send(i,a,function(t,a){return e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,"reloadTile"===i),r(null))},this.workerID)},r.prototype.abortTile=function(t){t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.dispatcher.send("removeTile",{uid:t.uid,type:this.type,source:this.id},null,t.workerID)},r.prototype.onRemove=function(){this._removed=!0,this.dispatcher.send("removeSource",{type:this.type,source:this.id},null,this.workerID)},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type="image",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this.fire(new t.Event("dataloading",{dataType:"source"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),function(i,a){i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())})},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,function(){e.texture=null}),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var c=i-r,u=a-n,h=Math.max(c,u),f=Math.max(0,Math.floor(-Math.log(h)/Math.LN2)),p=Math.pow(2,f);return new t.CanonicalTileID(f,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map(function(t){return r.tileID.getTilePoint(t)._round()});return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,t.rasterBoundsAttributes.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];"loaded"!==i.state&&(i.state="loaded",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state="errored",e(null))},r.prototype.serialize=function(){return{type:"image",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type="video",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this,r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,function(r,n){r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener("playing",function(){e.map.triggerRepaint()}),e.map&&e.video.play(),e._finishLoading())})},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,t.rasterBoundsAttributes.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];"loaded"!==i.state&&(i.state="loaded",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"video",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(L),O=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some(function(t){return!Array.isArray(t)||2!==t.length||t.some(function(t){return"number"!=typeof t})})||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"coordinates" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "coordinates"'))),n.animate&&"boolean"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'optional "animate" property must be a boolean value'))),n.canvas?"string"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"canvas" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "canvas"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error("Canvas dimensions cannot be less than or equal to zero."))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,t.rasterBoundsAttributes.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];"loaded"!==a.state&&(a.state="loaded",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"canvas",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(L),z={vector:M,raster:S,"raster-dem":E,geojson:C,video:P,image:L,canvas:O},I=function(e,r,n,i){var a=new z[r.type](e,r,n,i);if(a.id!==e)throw new Error("Expected Source id to be "+e+" instead of "+a.id);return t.bindAll(["load","abort","unload","serialize","prepare"],a),a};function D(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function R(t,e,r,n,i){var a=function(t,e,r){if(t)for(var n=0,i=t;n<i.length;n+=1){var a=e[i[n]];if(a&&a.source===r&&"fill-extrusion"===a.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&"fill-extrusion"===s.type)return!0}return!1}(n&&n.layers,e,t.id),o=i.maxPitchScaleFactor(),s=t.tilesIn(r,o,a);s.sort(F);for(var l=[],c=0,u=s;c<u.length;c+=1){var h=u[c];l.push({wrappedTileID:h.tileID.wrapped().key,queryResults:h.tile.queryRenderedFeatures(e,t._state,h.queryGeometry,h.cameraQueryGeometry,h.scale,n,i,o,D(t.transform,h.tileID))})}var f=function(t){for(var e={},r={},n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.queryResults,s=a.wrappedTileID,l=r[s]=r[s]||{};for(var c in o)for(var u=o[c],h=l[c]=l[c]||{},f=e[c]=e[c]||[],p=0,d=u;p<d.length;p+=1){var g=d[p];h[g.featureIndex]||(h[g.featureIndex]=!0,f.push(g))}}return e}(l);for(var p in f)f[p].forEach(function(e){var r=e.feature,n=t.getFeatureState(r.layer["source-layer"],r.id);r.source=r.layer.source,r.layer["source-layer"]&&(r.sourceLayer=r.layer["source-layer"]),r.state=n});return f}function F(t,e){var r=t.tileID,n=e.tileID;return r.overscaledZ-n.overscaledZ||r.canonical.y-n.canonical.y||r.wrap-n.wrap||r.canonical.x-n.canonical.x}var B=function(t,e){this.max=t,this.onRemove=e,this.reset()};B.prototype.reset=function(){for(var t in this.data)for(var e=0,r=this.data[t];e<r.length;e+=1){var n=r[e];n.timeout&&clearTimeout(n.timeout),this.onRemove(n.value)}return this.data={},this.order=[],this},B.prototype.add=function(t,e,r){var n=this,i=t.wrapped().key;void 0===this.data[i]&&(this.data[i]=[]);var a={value:e,timeout:void 0};if(void 0!==r&&(a.timeout=setTimeout(function(){n.remove(t,a)},r)),this.data[i].push(a),this.order.push(i),this.order.length>this.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},B.prototype.has=function(t){return t.wrapped().key in this.data},B.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},B.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},B.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},B.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this},B.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this};var N=function(t,e,r){this.context=t;var n=t.gl;this.buffer=n.createBuffer(),this.dynamicDraw=Boolean(r),this.context.unbindVAO(),t.bindElementBuffer.set(this.buffer),n.bufferData(n.ELEMENT_ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?n.DYNAMIC_DRAW:n.STATIC_DRAW),this.dynamicDraw||delete 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xt(this),this.extTextureFilterAnisotropic=t.getExtension("EXT_texture_filter_anisotropic")||t.getExtension("MOZ_EXT_texture_filter_anisotropic")||t.getExtension("WEBKIT_EXT_texture_filter_anisotropic"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension("OES_texture_half_float"),this.extTextureHalfFloat&&t.getExtension("OES_texture_half_float_linear")};Et.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Et.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Et.prototype.createIndexBuffer=function(t,e){return new N(this,t,e)},Et.prototype.createVertexBuffer=function(t,e,r){return new U(this,t,e,r)},Et.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Et.prototype.createFramebuffer=function(t,e){return new kt(this,t,e)},Et.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Et.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Et.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Et.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Et.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,Mt.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Et.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ct=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on("data",function(t){"source"===t.dataType&&"metadata"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&"source"===t.dataType&&"content"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))}),this.on("error",function(){a._sourceErrored=!0}),this._source=I(r,n,i,this),this._tiles={},this._cache=new B(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.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},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,function(){})},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,function(){})},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return Object.keys(this._tiles).map(Number).sort(Lt)},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(+i,e)&&n.push(+i);return e?n.sort(function(e,n){var i=r._tiles[e].tileID,a=r._tiles[n].tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x}):n.sort(Lt)},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)"errored"!==this._tiles[t].state&&this._reloadTile(t,"reloading")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&("loading"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state="errored",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),"expired"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),"raster-dem"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event("data",{dataType:"source",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype.getZoom=function(t){return t.zoom+t.scaleZoom(t.tileSize/this._source.tileSize)},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){for(var r=t.overscaledZ-1;r>=e;r--){var n=t.scaledTo(r);if(!n)return;var i=String(n.key),a=this._tiles[i];if(a&&a.hasData())return a;if(this._cache.has(n))return this._cache.get(n)}},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n="number"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map(function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)}):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter(function(t){return n._source.hasTile(t)}))):i=[];var a=(this._source.roundZoom?Math.round:Math.floor)(this.getZoom(e)),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(Pt(this._source.type)){for(var c={},u={},h=0,f=Object.keys(l);h<f.length;h+=1){var p=f[h],d=l[p],g=this._tiles[p];if(g&&!(g.fadeEndTime&&g.fadeEndTime<=t.browser.now())){var v=this.findLoadedParent(d,o);v&&(this._addTile(v.tileID),c[v.tileID.key]=v.tileID),u[p]=d}}for(var m in this._retainLoadedChildren(u,a,s,l),c)l[m]||(this._coveredTiles[m]=!0,l[m]=c[m])}for(var y in l)this._tiles[y].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,c=t;l<c.length;l+=1){var u=c[l],h=this._addTile(u);n[u.key]=u,h.hasData()||e<this._source.maxzoom&&(s[u.key]=u)}this._retainLoadedChildren(s,e,o,n);for(var f=0,p=t;f<p.length;f+=1){var d=p[f],g=this._tiles[d.key];if(!g.hasData()){if(e+1>this._source.maxzoom){var v=d.children(this._source.maxzoom)[0],m=this.getTile(v);if(m&&m.hasData()){n[v.key]=v;continue}}else{var y=d.children(this._source.maxzoom);if(n[y[0].key]&&n[y[1].key]&&n[y[2].key]&&n[y[3].key])continue}for(var x=g.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(g=this.getTile(_))&&x&&(g=this._addTile(_)),g&&(n[_.key]=_,x=g.wasRequested(),g.hasData()))break}}}return n},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event("dataloading",{tile:r,coord:r.tileID,dataType:"source"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout(function(){r._reloadTile(t,"expired"),delete r._timers[t]},n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map(function(t){return o.pointCoordinate(t)}),c=s.map(function(t){return o.pointCoordinate(t)}),u=this.getIds(),h=1/0,f=1/0,p=-1/0,d=-1/0,g=0,v=c;g<v.length;g+=1){var m=v[g];h=Math.min(h,m.x),f=Math.min(f,m.y),p=Math.max(p,m.x),d=Math.max(d,m.y)}for(var y=function(e){var n=i._tiles[u[e]];if(!n.holdingForFade()){var s=n.tileID,g=Math.pow(2,o.zoom-n.tileID.overscaledZ),v=r*n.queryPadding*t.EXTENT/n.tileSize/g,m=[s.getTilePoint(new t.MercatorCoordinate(h,f)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(m[0].x-v<t.EXTENT&&m[0].y-v<t.EXTENT&&m[1].x+v>=0&&m[1].y+v>=0){var y=l.map(function(t){return s.getTilePoint(t)}),x=c.map(function(t){return s.getTilePoint(t)});a.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:g})}}},x=0;x<u.length;x++)y(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map(function(t){return e._tiles[t].tileID}),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(Pt(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||"_geojsonTileLayer",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||"_geojsonTileLayer",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||"_geojsonTileLayer",this._state.getState(t,e)},r}(t.Evented);function Lt(t,e){return t%32-e%32||e-t}function Pt(t){return"raster"===t||"image"===t||"video"===t}function Ot(){return new t.window.Worker(Jn.workerUrl)}Ct.maxOverzooming=10,Ct.maxUnderzooming=3;var zt=function(){this.active={}};zt.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<zt.workerCount;)this.workers.push(new Ot);return this.active[t]=!0,this.workers.slice()},zt.prototype.release=function(t){delete this.active[t],0===Object.keys(this.active).length&&(this.workers.forEach(function(t){t.terminate()}),this.workers=null)};var It,Dt=Math.floor(t.browser.hardwareConcurrency/2);function Rt(e,r){var n={};for(var i in e)"ref"!==i&&(n[i]=e[i]);return t.refProperties.forEach(function(t){t in r&&(n[t]=r[t])}),n}function Ft(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)"ref"in t[n]&&(t[n]=Rt(t[n],e[t[n].ref]));return t}zt.workerCount=Math.max(Math.min(Dt,6),1);var Bt={setStyle:"setStyle",addLayer:"addLayer",removeLayer:"removeLayer",setPaintProperty:"setPaintProperty",setLayoutProperty:"setLayoutProperty",setFilter:"setFilter",addSource:"addSource",removeSource:"removeSource",setGeoJSONSourceData:"setGeoJSONSourceData",setLayerZoomRange:"setLayerZoomRange",setLayerProperty:"setLayerProperty",setCenter:"setCenter",setZoom:"setZoom",setBearing:"setBearing",setPitch:"setPitch",setSprite:"setSprite",setGlyphs:"setGlyphs",setTransition:"setTransition",setLight:"setLight"};function Nt(t,e,r){r.push({command:Bt.addSource,args:[t,e[t]]})}function jt(t,e,r){e.push({command:Bt.removeSource,args:[t]}),r[t]=!0}function Ut(t,e,r,n){jt(t,r,n),Nt(t,e,r)}function Vt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&"data"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&"data"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function qt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Ht(t){return t.id}function Gt(t,e){return t[e.id]=e,t}var Yt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function Wt(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function Xt(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function Zt(e,r){var n=[e.x,e.y,0,1];ae(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function Jt(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function Kt(e,r,n,i,a,o,s,l){var c=i?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),h=[256/n.width*2+1,256/n.height*2+1],f=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;f.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,g=n.transform.width/n.transform.height,v=!1,m=0;m<d.length;m++){var y=d.get(m);if(y.hidden||y.writingMode===t.WritingMode.vertical&&!v)ie(y.numGlyphs,f);else{v=!1;var x=[y.anchorX,y.anchorY,0,1];if(t.transformMat4(x,x,r),Jt(x,h)){var b=.5+x[3]/n.transform.cameraToCenterDistance*.5,_=t.evaluateSizeForFeature(c,u,y),w=s?_*b:_/b,k=new t.Point(y.anchorX,y.anchorY),T=Zt(k,a).point,A={},M=te(y,w,!1,l,r,a,o,e.glyphOffsetArray,p,f,T,k,A,g);v=M.useVertical,(M.notEnoughRoom||v||M.needsFlipping&&te(y,w,!0,l,r,a,o,e.glyphOffsetArray,p,f,T,k,A,g).notEnoughRoom)&&ie(y.numGlyphs,f)}else ie(y.numGlyphs,f)}}i?e.text.dynamicLayoutVertexBuffer.updateData(f):e.icon.dynamicLayoutVertexBuffer.updateData(f)}function $t(t,e,r,n,i,a,o,s,l,c,u,h){var f=s.glyphStartIndex+s.numGlyphs,p=s.lineStartIndex,d=s.lineStartIndex+s.lineLength,g=e.getoffsetX(s.glyphStartIndex),v=e.getoffsetX(f-1),m=re(t*g,r,n,i,a,o,s.segment,p,d,l,c,u,h);if(!m)return null;var y=re(t*v,r,n,i,a,o,s.segment,p,d,l,c,u,h);return y?{first:m,last:y}:null}function Qt(e,r,n,i){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function te(e,r,n,i,a,o,s,l,c,u,h,f,p,d){var g,v=r/24,m=e.lineOffsetX*v,y=e.lineOffsetY*v;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=$t(v,l,m,y,n,h,f,e,c,o,p,!1);if(!w)return{notEnoughRoom:!0};var k=Zt(w.first.point,s).point,T=Zt(w.last.point,s).point;if(i&&!n){var A=Qt(e.writingMode,k,T,d);if(A)return A}g=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)g.push(re(v*l.getoffsetX(M),m,y,n,h,f,e.segment,b,_,c,o,p,!1));g.push(w.last)}else{if(i&&!n){var S=Zt(f,a).point,E=e.lineStartIndex+e.segment+1,C=new t.Point(c.getx(E),c.gety(E)),L=Zt(C,a),P=L.signedDistanceFromCamera>0?L.point:ee(f,C,S,1,a),O=Qt(e.writingMode,S,P,d);if(O)return O}var z=re(v*l.getoffsetX(e.glyphStartIndex),m,y,n,h,f,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p,!1);if(!z)return{notEnoughRoom:!0};g=[z]}for(var I=0,D=g;I<D.length;I+=1){var R=D[I];t.addDynamicAttributes(u,R.point,R.angle)}return{}}function ee(t,e,r,n,i){var a=Zt(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function re(e,r,n,i,a,o,s,l,c,u,h,f,p){var d=i?e-r:e+r,g=d>0?1:-1,v=0;i&&(g*=-1,v=Math.PI),g<0&&(v+=Math.PI);for(var m=g>0?l+s:l+s+1,y=m,x=a,b=a,_=0,w=0,k=Math.abs(d);_+w<=k;){if((m+=g)<l||m>=c)return null;if(b=x,void 0===(x=f[m])){var T=new t.Point(u.getx(m),u.gety(m)),A=Zt(T,h);if(A.signedDistanceFromCamera>0)x=f[m]=A.point;else{var M=m-g;x=ee(0===_?o:new t.Point(u.getx(M),u.gety(M)),T,b,k-_+1,h)}}_+=w,w=b.dist(x)}var S=(k-_)/w,E=x.sub(b),C=E.mult(S)._add(b);return C._add(E._unit()._perp()._mult(n*g)),{point:C,angle:v+Math.atan2(x.y-b.y,x.x-b.x),tileDistance:p?{prevTileDistance:m-g===y?0:u.gettileUnitDistanceFromAnchor(m-g),lastSegmentViewportDistance:k-_}:null}}Yt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Yt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Yt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Yt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Yt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Yt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var c=this.circles[3*l],u=this.circles[3*l+1],h=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:c-h,y1:u-h,x2:c+h,y2:u+h})}return a?o.filter(a):o}var f={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,f,a),i?o.length>0:o},Yt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var c=[],u={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,c,u,i),n?c.length>0:c},Yt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Yt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Yt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Yt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,c=this.boxCells[i];if(null!==c)for(var u=this.bboxes,h=0,f=c;h<f.length;h+=1){var p=f[h];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=u[d+2]&&e<=u[d+3]&&r>=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var g=this.circleCells[i];if(null!==g)for(var v=this.circles,m=0,y=g;m<y.length;m+=1){var x=y[m];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(v[b],v[b+1],v[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=v[b],w=v[b+1],k=v[b+2];a.push({key:this.circleKeys[x],x1:_-k,y1:w-k,x2:_+k,y2:w+k})}}}},Yt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,c=o.seenUids,u=this.boxCells[i];if(null!==u)for(var h=this.bboxes,f=0,p=u;f<p.length;f+=1){var d=p[f];if(!c.box[d]){c.box[d]=!0;var g=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,h[g+0],h[g+1],h[g+2],h[g+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var v=this.circleCells[i];if(null!==v)for(var m=this.circles,y=0,x=v;y<x.length;y+=1){var b=x[y];if(!c.circle[b]){c.circle[b]=!0;var _=3*b;if(this._circlesCollide(m[_],m[_+1],m[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Yt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),h=this._convertToYCellCoord(n),f=l;f<=u;f++)for(var p=c;p<=h;p++){var d=this.xCellCount*p+f;if(i.call(this,t,e,r,n,d,a,o,s))return}},Yt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Yt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Yt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Yt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var h=l-s,f=u-c;return h*h+f*f<=r*r};var ne=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ie(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(ne,3*n)}}function ae(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var oe=function(t,e,r){void 0===e&&(e=new Yt(t.width+200,t.height+200,25)),void 0===r&&(r=new Yt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+100,this.screenBottomBoundary=t.height+100,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function se(t,e,r){t[e+4]=r?1:0}function le(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}oe.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,c=t.x2*o+a.point.x,u=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,c,u)||!e&&this.grid.hitTest(s,l,c,u,i)?{box:[],offscreen:!1}:{box:[s,l,c,u],offscreen:this.isOffscreen(s,l,c,u)}},oe.prototype.approximateTileDistance=function(t,e,r,n,i){var a=i?1:n/this.pitchfactor,o=t.lastSegmentViewportDistance*r;return t.prevTileDistance+o+(a-1)*o*Math.abs(Math.sin(e))},oe.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,c,u,h,f,p){var d=[],g=this.projectAnchor(c,a.anchorX,a.anchorY),v=l/24,m=a.lineOffsetX*l,y=a.lineOffsetY*l,x=new t.Point(a.anchorX,a.anchorY),b=$t(v,s,m,y,!1,Zt(x,u).point,x,a,o,u,{},!0),_=!1,w=!1,k=!0,T=g.perspectiveRatio*i,A=1/(i*n),M=0,S=0;b&&(M=this.approximateTileDistance(b.first.tileDistance,b.first.angle,A,g.cameraDistance,f),S=this.approximateTileDistance(b.last.tileDistance,b.last.angle,A,g.cameraDistance,f));for(var E=0;E<e.length;E+=5){var C=e[E],L=e[E+1],P=e[E+2],O=e[E+3];if(!b||O<-M||O>S)se(e,E,!1);else{var z=this.projectPoint(c,C,L),I=P*T;if(d.length>0){var D=z.x-d[d.length-4],R=z.y-d[d.length-3];if(I*I*2>D*D+R*R&&E+8<e.length){var F=e[E+8];if(F>-M&&F<S){se(e,E,!1);continue}}}var B=E/5;d.push(z.x,z.y,I,B),se(e,E,!0);var N=z.x-I,j=z.y-I,U=z.x+I,V=z.y+I;if(k=k&&this.isOffscreen(N,j,U,V),w=w||this.isInsideGrid(N,j,U,V),!r&&this.grid.hitTestCircle(z.x,z.y,I,p)){if(!h)return{circles:[],offscreen:!1};_=!0}}}return{circles:_||!w?[]:d,offscreen:k}},oe.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.Point(c.x+100,c.y+100);n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y),r.push(u)}for(var h={},f={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var g=d[p],v=g.key;if(void 0===h[v.bucketInstanceId]&&(h[v.bucketInstanceId]={}),!h[v.bucketInstanceId][v.featureIndex]){var m=[new t.Point(g.x1,g.y1),new t.Point(g.x2,g.y1),new t.Point(g.x2,g.y2),new t.Point(g.x1,g.y2)];t.polygonIntersectsPolygon(r,m)&&(h[v.bucketInstanceId][v.featureIndex]=!0,void 0===f[v.bucketInstanceId]&&(f[v.bucketInstanceId]=[]),f[v.bucketInstanceId].push(v.featureIndex))}}return f},oe.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},oe.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},oe.prototype.projectAnchor=function(t,e,r){var n=[e,r,0,1];return ae(n,n,t),{perspectiveRatio:.5+this.transform.cameraToCenterDistance/n[3]*.5,cameraDistance:n[3]}},oe.prototype.projectPoint=function(e,r,n){var i=[r,n,0,1];return ae(i,i,e),new t.Point((i[0]/i[3]+1)/2*this.transform.width+100,(-i[1]/i[3]+1)/2*this.transform.height+100)},oe.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return ae(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+100,(-i[1]/i[3]+1)/2*this.transform.height+100),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},oe.prototype.isOffscreen=function(t,e,r,n){return r<100||t>=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},oe.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary};var ce=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};ce.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var ue=function(t,e,r,n,i){this.text=new ce(t?t.text:null,e,r,i),this.icon=new ce(t?t.icon:null,e,n,i)};ue.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var he=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},fe=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},pe=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function de(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,c=t.evaluateRadialOffset(e,i);return new t.Point(s+c[0]*a,l+c[1]*a)}pe.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var ge=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new oe(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new pe(r),this.prevPlacement=n,n&&(n.prevPlacement=void 0)};function ve(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}ge.prototype.placeLayerTile=function(e,r,n,i){var a=r.getBucket(e),o=r.latestFeatureIndex;if(a&&o&&e.id===a.layerIds[0]){var s=r.collisionBoxArray,l=a.layers[0].layout,c=Math.pow(2,this.transform.zoom-r.tileID.overscaledZ),u=r.tileSize/t.EXTENT,h=this.transform.calculatePosMatrix(r.tileID.toUnwrapped()),f=Wt(h,"map"===l.get("text-pitch-alignment"),"map"===l.get("text-rotation-alignment"),this.transform,le(r,1,this.transform.zoom)),p=Wt(h,"map"===l.get("icon-pitch-alignment"),"map"===l.get("icon-rotation-alignment"),this.transform,le(r,1,this.transform.zoom));this.retainedQueryData[a.bucketInstanceId]=new fe(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,r.tileID),this.placeLayerBucket(a,h,f,p,c,u,n,r.holdingForFade(),i,s)}},ge.prototype.attemptAnchorPlacement=function(e,r,n,i,a,o,s,l,c,u,h,f,p,d){var g,v=de(e,n,i,a,o),m=this.collisionIndex.placeCollisionBox(function(e,r,n,i,a,o){var s=e.x1,l=e.x2,c=e.y1,u=e.y2,h=e.anchorPointX,f=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:c+p.y,x2:l+p.x,y2:u+p.y,anchorPointX:h,anchorPointY:f}}(r,v.x,v.y,s,l,this.transform.angle),f,c,u,h.predicate);if(m.box.length>0)return this.prevPlacement&&this.prevPlacement.variableOffsets[p.crossTileID]&&this.prevPlacement.placements[p.crossTileID]&&this.prevPlacement.placements[p.crossTileID].text&&(g=this.prevPlacement.variableOffsets[p.crossTileID].anchor),this.variableOffsets[p.crossTileID]={radialOffset:a,width:n,height:i,anchor:e,textBoxScale:o,prevAnchor:g},this.markUsedJustification(d,e,p),m},ge.prototype.placeLayerBucket=function(e,r,n,i,a,o,s,l,c,u){var h=this,f=e.layers[0].layout,p=t.evaluateSizeForZoom(e.textSizeData,this.transform.zoom),d=f.get("text-optional"),g=f.get("icon-optional"),v=f.get("text-allow-overlap"),m=f.get("icon-allow-overlap"),y=v&&(m||!e.hasIconData()||g),x=m&&(v||!e.hasTextData()||d),b=this.collisionGroups.get(e.sourceID),_="map"===f.get("text-rotation-alignment"),w="map"===f.get("text-pitch-alignment"),k="viewport-y"===f.get("symbol-z-order");!e.collisionArrays&&u&&e.deserializeCollisionBoxes(u);var T=function(i,u){if(!c[i.crossTileID])if(l)h.placements[i.crossTileID]=new he(!1,!1,!1);else{var m=!1,k=!1,T=!0,A=null,M=null,S=null,E=0,C=0;u.textFeatureIndex&&(E=u.textFeatureIndex);var L=u.textBox;if(L)if(f.get("text-variable-anchor")){var P=L.x2-L.x1,O=L.y2-L.y1,z=i.textBoxScale,I=f.get("text-variable-anchor");if(h.prevPlacement&&h.prevPlacement.variableOffsets[i.crossTileID]){var D=h.prevPlacement.variableOffsets[i.crossTileID];I[0]!==D.anchor&&(I=I.filter(function(t){return t!==D.anchor})).unshift(D.anchor)}for(var R=0,F=I;R<F.length;R+=1){var B=F[R];if(A=h.attemptAnchorPlacement(B,L,P,O,i.radialTextOffset,z,_,w,o,r,b,v,i,e)){m=!0;break}}if(!h.variableOffsets[i.crossTileID]&&h.prevPlacement){var N=h.prevPlacement.variableOffsets[i.crossTileID];N&&(h.variableOffsets[i.crossTileID]=N,h.markUsedJustification(e,N.anchor,i))}}else m=(A=h.collisionIndex.placeCollisionBox(L,f.get("text-allow-overlap"),o,r,b.predicate)).box.length>0;T=A&&A.offscreen;var j=u.textCircles;if(j){var U=e.text.placedSymbolArray.get(i.centerJustifiedTextSymbolIndex),V=t.evaluateSizeForFeature(e.textSizeData,p,U);M=h.collisionIndex.placeCollisionCircles(j,f.get("text-allow-overlap"),a,o,U,e.lineVertexArray,e.glyphOffsetArray,V,r,n,s,w,b.predicate),m=f.get("text-allow-overlap")||M.circles.length>0,T=T&&M.offscreen}u.iconFeatureIndex&&(C=u.iconFeatureIndex),u.iconBox&&(k=(S=h.collisionIndex.placeCollisionBox(u.iconBox,f.get("icon-allow-overlap"),o,r,b.predicate)).box.length>0,T=T&&S.offscreen);var q=d||0===i.numHorizontalGlyphVertices&&0===i.numVerticalGlyphVertices,H=g||0===i.numIconVertices;q||H?H?q||(k=k&&m):m=k&&m:k=m=k&&m,m&&A&&h.collisionIndex.insertCollisionBox(A.box,f.get("text-ignore-placement"),e.bucketInstanceId,E,b.ID),k&&S&&h.collisionIndex.insertCollisionBox(S.box,f.get("icon-ignore-placement"),e.bucketInstanceId,C,b.ID),m&&M&&h.collisionIndex.insertCollisionCircles(M.circles,f.get("text-ignore-placement"),e.bucketInstanceId,E,b.ID),h.placements[i.crossTileID]=new he(m||y,k||x,T||e.justReloaded),c[i.crossTileID]=!0}};if(k)for(var A=e.getSortedSymbolIndexes(this.transform.angle),M=A.length-1;M>=0;--M){var S=A[M];T(e.symbolInstances.get(S),e.collisionArrays[S])}else for(var E=0;E<e.symbolInstances.length;++E)T(e.symbolInstances.get(E),e.collisionArrays[E]);e.justReloaded=!1},ge.prototype.markUsedJustification=function(e,r,n){var i={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex},a=i[t.getAnchorJustification(r)];for(var o in i){var s=i[o];s>=0&&(e.text.placedSymbolArray.get(s).crossTileID=a>=0&&s!==a?0:n.crossTileID)}},ge.prototype.commit=function(t){this.commitTime=t;var e=this.prevPlacement,r=!1,n=e&&0!==this.fadeDuration?(this.commitTime-e.commitTime)/this.fadeDuration:1,i=e?e.opacities:{},a=e?e.variableOffsets:{};for(var o in this.placements){var s=this.placements[o],l=i[o];l?(this.opacities[o]=new ue(l,n,s.text,s.icon),r=r||s.text!==l.text.placed||s.icon!==l.icon.placed):(this.opacities[o]=new ue(null,n,s.text,s.icon,s.skipFade),r=r||s.text||s.icon)}for(var c in i){var u=i[c];if(!this.opacities[c]){var h=new ue(u,n,!1,!1);h.isHidden()||(this.opacities[c]=h,r=r||u.text.placed||u.icon.placed)}}for(var f in a)this.variableOffsets[f]||!this.opacities[f]||this.opacities[f].isHidden()||(this.variableOffsets[f]=a[f]);r?this.lastPlacementChangeTime=t:"number"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},ge.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},ge.prototype.updateBucketOpacities=function(e,r,n){e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasCollisionBoxData()&&e.collisionBox.collisionVertexArray.clear(),e.hasCollisionCircleData()&&e.collisionCircle.collisionVertexArray.clear();var i=e.layers[0].layout,a=new ue(null,0,!1,!1,!0),o=i.get("text-allow-overlap"),s=i.get("icon-allow-overlap"),l=i.get("text-variable-anchor"),c="map"===i.get("text-rotation-alignment"),u="map"===i.get("text-pitch-alignment"),h=new ue(null,0,o&&(s||!e.hasIconData()||i.get("icon-optional")),s&&(o||!e.hasTextData()||i.get("text-optional")),!0);!e.collisionArrays&&n&&(e.hasCollisionBoxData()||e.hasCollisionCircleData())&&e.deserializeCollisionBoxes(n);for(var f=0;f<e.symbolInstances.length;f++){var p=e.symbolInstances.get(f),d=p.numHorizontalGlyphVertices,g=p.numVerticalGlyphVertices,v=p.crossTileID,m=r[v],y=this.opacities[v];m?y=a:y||(y=h,this.opacities[v]=y),r[v]=!0;var x=d>0||g>0,b=p.numIconVertices>0;if(x){for(var _=Te(y.text),w=(d+g)/4,k=0;k<w;k++)e.text.opacityVertexArray.emplaceBack(_);var T=y.text.isHidden()?1:0;[p.rightJustifiedTextSymbolIndex,p.centerJustifiedTextSymbolIndex,p.leftJustifiedTextSymbolIndex,p.verticalPlacedTextSymbolIndex].forEach(function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=T)});var A=this.variableOffsets[p.crossTileID];A&&this.markUsedJustification(e,A.anchor,p)}if(b){for(var M=Te(y.icon),S=0;S<p.numIconVertices/4;S++)e.icon.opacityVertexArray.emplaceBack(M);e.icon.placedSymbolArray.get(f).hidden=y.icon.isHidden()}if(e.hasCollisionBoxData()||e.hasCollisionCircleData()){var E=e.collisionArrays[f];if(E){if(E.textBox){var C=new t.Point(0,0),L=!0;if(l){var P=this.variableOffsets[v];P?(C=de(P.anchor,P.width,P.height,P.radialOffset,P.textBoxScale),c&&C._rotate(u?this.transform.angle:-this.transform.angle)):L=!1}ve(e.collisionBox.collisionVertexArray,y.text.placed,!L,C.x,C.y)}E.iconBox&&ve(e.collisionBox.collisionVertexArray,y.icon.placed,!1);var O=E.textCircles;if(O&&e.hasCollisionCircleData())for(var z=0;z<O.length;z+=5){var I=m||0===O[z+4];ve(e.collisionCircle.collisionVertexArray,y.text.placed,I)}}}}e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasCollisionBoxData()&&e.collisionBox.collisionVertexBuffer&&e.collisionBox.collisionVertexBuffer.updateData(e.collisionBox.collisionVertexArray),e.hasCollisionCircleData()&&e.collisionCircle.collisionVertexBuffer&&e.collisionCircle.collisionVertexBuffer.updateData(e.collisionCircle.collisionVertexArray)},ge.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration},ge.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},ge.prototype.stillRecent=function(t){return this.commitTime+this.fadeDuration>t},ge.prototype.setStale=function(){this.stale=!0};var me=Math.pow(2,25),ye=Math.pow(2,24),xe=Math.pow(2,17),be=Math.pow(2,16),_e=Math.pow(2,9),we=Math.pow(2,8),ke=Math.pow(2,1);function Te(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*me+e*ye+r*xe+e*be+r*_e+e*we+r*ke+e}var Ae=function(){this._currentTileIndex=0,this._seenCrossTileIDs={}};Ae.prototype.continuePlacement=function(t,e,r,n,i){for(;this._currentTileIndex<t.length;){var a=t[this._currentTileIndex];if(e.placeLayerTile(n,a,r,this._seenCrossTileIDs),this._currentTileIndex++,i())return!0}};var Me=function(t,e,r,n,i,a,o){this.placement=new ge(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};Me.prototype.isDone=function(){return this._done},Me.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if("symbol"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Ae),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Me.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Se=512/t.EXTENT/2,Ee=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Ee.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=Se/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Ee.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,c=o;l<c.length;l+=1){var u=c[l];if(Math.abs(u.coord.x-s.x)<=n&&Math.abs(u.coord.y-s.y)<=n&&!r[u.crossTileID]){r[u.crossTileID]=!0,a.crossTileID=u.crossTileID;break}}}}};var Ce=function(){this.maxCrossTileID=0};Ce.prototype.generate=function(){return++this.maxCrossTileID};var Le=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Le.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Le.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++)e.symbolInstances.get(n).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var c=o[t.scaledTo(Number(a)).key];c&&c.findMatches(e.symbolInstances,t,i)}}for(var u=0;u<e.symbolInstances.length;u++){var h=e.symbolInstances.get(u);h.crossTileID||(h.crossTileID=r.generate(),i[h.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Ee(t,e.symbolInstances,e.bucketInstanceId),!0},Le.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Le.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Pe=function(){this.layerIndexes={},this.crossTileIDs=new Ce,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Pe.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Le);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],c=l.getBucket(t);c&&t.id===c.layerIds[0]&&(c.bucketInstanceId||(c.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,c,this.crossTileIDs)&&(i=!0),a[c.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Pe.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach(function(t){e[t]=!0}),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var Oe=function(e,r){return t.emitValidationErrors(e,r&&r.filter(function(t){return"source.canvas"!==t.identifier}))},ze=t.pick(Bt,["addLayer","removeLayer","setPaintProperty","setLayoutProperty","setFilter","addSource","removeSource","setLayerZoomRange","setLight","setTransition","setGeoJSONSourceData"]),Ie=t.pick(Bt,["setCenter","setZoom","setBearing","setPitch"]),De=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new k((It||(It=new zt),It),this),this.imageManager=new f,this.imageManager.setEventedParent(this),this.glyphManager=new y(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new w(256,512),this.crossTileSymbolIndex=new Pe,this._layers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._resetUpdates(),this.dispatcher.broadcast("setReferrer",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginAvailability(function(t){for(var e in o.dispatcher.broadcast("loadRTLTextPlugin",t.pluginURL,t.completionCallback),o.sourceCaches)o.sourceCaches[e].reload()}),this.on("data",function(t){if("source"===t.dataType&&"metadata"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}})}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event("dataloading",{dataType:"style"}));var i="boolean"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)})},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event("dataloading",{dataType:"style"})),this._request=t.browser.frame(function(){n._request=null,n._load(e,!1!==r.validate)})},r.prototype._load=function(e,r){var n=this;if(!r||!Oe(this,t.validateStyle(e))){for(var i in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(i,e.sources[i],{validate:!1});e.sprite?this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?"@2x":"",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,".json"),t.ResourceType.SpriteJSON),function(t,e){l=null,o||(o=t,i=e,u())}),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,".png"),t.ResourceType.SpriteImage),function(t,e){c=null,o||(o=t,a=e,u())});function u(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],c=l.width,u=l.height,h=l.x,f=l.y,p=l.sdf,d=l.pixelRatio,g=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,g,{x:h,y:f},{x:0,y:0},{width:c,height:u}),r[s]={data:g,pixelRatio:d,sdf:p}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e.sprite,this.map._requestManager,function(e,r){if(n._spriteRequest=null,e)n.fire(new t.ErrorEvent(e));else if(r)for(var i in r)n.imageManager.addImage(i,r[i]);n.imageManager.setLoaded(!0),n.fire(new t.Event("data",{dataType:"style"}))}):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var a=Ft(this.stylesheet.layers);this._order=a.map(function(t){return t.id}),this._layers={};for(var o=0,s=a;o<s.length;o+=1){var l=s[o];(l=t.createStyleLayer(l)).setEventedParent(this,{layer:{id:l.id}}),this._layers[l.id]=l}this.dispatcher.broadcast("setLayers",this._serializeLayers(this._order)),this.light=new _(this.stylesheet.light),this.fire(new t.Event("data",{dataType:"style"})),this.fire(new t.Event("style.load"))}},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();("geojson"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer "'+n+'" does not exist on source "'+i.id+'" as specified by style layer "'+e.id+'"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];"custom"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error("Style is not done loading")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];"reload"===o?this._reloadSource(a):"clear"===o&&this._clearSource(a)}for(var s in this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var c=0,u=this._order;c<u.length;c+=1){var h=u[c],f=this._layers[h];f.recalculate(e),!f.isHidden(e.zoom)&&f.source&&(this.sourceCaches[f.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event("data",{dataType:"style"}))}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast("updateLayers",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),Oe(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=Ft(e.layers);var n=function(e,r){if(!e)return[{command:Bt.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Bt.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Bt.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Bt.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Bt.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Bt.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Bt.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Bt.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Bt.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Bt.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||jt(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||("geojson"===e[a].type&&"geojson"===r[a].type&&Vt(e,r,a)?n.push({command:Bt.setGeoJSONSourceData,args:[a,r[a].data]}):Ut(a,r,n,i)):Nt(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach(function(t){i[t.source]?n.push({command:Bt.removeLayer,args:[t.id]}):o.push(t)}),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,c,u,h=(e=e||[]).map(Ht),f=r.map(Ht),p=e.reduce(Gt,{}),d=r.reduce(Gt,{}),g=h.slice(),v=Object.create(null);for(i=0,a=0;i<h.length;i++)o=h[i],d.hasOwnProperty(o)?a++:(n.push({command:Bt.removeLayer,args:[o]}),g.splice(g.indexOf(o,a),1));for(i=0,a=0;i<f.length;i++)o=f[f.length-1-i],g[g.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:Bt.removeLayer,args:[o]}),g.splice(g.lastIndexOf(o,g.length-a),1)):a++,c=g[g.length-i],n.push({command:Bt.addLayer,args:[d[o],c]}),g.splice(g.length-i,0,o),v[o]=!0);for(i=0;i<f.length;i++)if(s=p[o=f[i]],l=d[o],!v[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s["source-layer"],l["source-layer"])&&t.deepEqual(s.type,l.type)){for(u in qt(s.layout,l.layout,n,o,null,Bt.setLayoutProperty),qt(s.paint,l.paint,n,o,null,Bt.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Bt.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Bt.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(u)&&"layout"!==u&&"paint"!==u&&"filter"!==u&&"metadata"!==u&&"minzoom"!==u&&"maxzoom"!==u&&(0===u.indexOf("paint.")?qt(s[u],l[u],n,o,u.slice(6),Bt.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Bt.setLayerProperty,args:[o,u,l[u]]}));for(u in l)l.hasOwnProperty(u)&&!s.hasOwnProperty(u)&&"layout"!==u&&"paint"!==u&&"filter"!==u&&"metadata"!==u&&"minzoom"!==u&&"maxzoom"!==u&&(0===u.indexOf("paint.")?qt(s[u],l[u],n,o,u.slice(6),Bt.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Bt.setLayerProperty,args:[o,u,l[u]]}))}else n.push({command:Bt.removeLayer,args:[o]}),c=g[g.lastIndexOf(o)+1],n.push({command:Bt.addLayer,args:[l,c]})}(o,r.layers,n)}catch(t){console.warn("Unable to compute style diff:",t),n=[{command:Bt.setStyle,args:[r]}]}return n}(this.serialize(),e).filter(function(t){return!(t.command in Ie)});if(0===n.length)return!1;var i=n.filter(function(t){return!(t.command in ze)});if(i.length>0)throw new Error("Unimplemented: "+i.map(function(t){return t.command}).join(", ")+".");return n.forEach(function(t){"setTransition"!==t.command&&r[t.command].apply(r,t.args)}),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error("An image with this name already exists.")));this.imageManager.addImage(e,r),this.fire(new t.Event("data",{dataType:"style"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error("No image with this name exists.")));this.imageManager.removeImage(e),this.fire(new t.Event("data",{dataType:"style"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error("There is already a source with this ID");if(!r.type)throw new Error("The type property must be defined, but the only the following properties were given: "+Object.keys(r).join(", ")+".");if(!(["vector","raster","geojson","video","image"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,"sources."+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ct(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}}),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error("There is no source with this ID");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source "'+e+'" cannot be removed while layer "'+r+'" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event("data",{sourceDataType:"metadata",dataType:"source",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id "'+i+'" already exists on this map')));else{var a;if("custom"===e.type){if(Oe(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if("object"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,"layers."+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}})}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&"custom"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]="clear":(this._updatedSources[a.source]="reload",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be moved.")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be removed.")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot have zoom extent.")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,"layers."+i.id+".filter",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be filtered.")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style.")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n],o=parseInt(e.id,10);if(void 0!==a){var s=a.getSource().type;"geojson"===s&&i?this.fire(new t.ErrorEvent(new Error("GeoJSON sources cannot have a sourceLayer parameter."))):"vector"!==s||i?isNaN(o)||o<0?this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided and non-negative."))):a.setFeatureState(i,o,r):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o="vector"===a?e.sourceLayer:void 0,s=parseInt(e.id,10);"vector"!==a||o?void 0!==e.id&&isNaN(s)||s<0?this.fire(new t.ErrorEvent(new Error("The feature id parameter must be non-negative."))):r&&"string"!=typeof e.id&&"number"!=typeof e.id?this.fire(new t.ErrorEvent(new Error("A feature id is requred to remove its specific state property."))):i.removeFeatureState(o,s,r):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r],a=parseInt(e.id,10);if(void 0!==i)if("vector"!==i.getSource().type||n){if(!(isNaN(a)||a<0))return i.getFeatureState(n,a);this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided and non-negative.")))}else this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")));else this.fire(new t.ErrorEvent(new Error("The source '"+r+"' does not exist in the map's style.")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,function(t){return t.serialize()}),layers:this._serializeLayers(this._order)},function(t){return void 0!==t})},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&(this._updatedSources[t.source]="reload",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return"fill-extrusion"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var c=l[s][o];if(c)for(var u=0,h=c;u<h.length;u+=1){var f=h[u];i.push(f)}}}}i.sort(function(t,e){return e.intersectionZ-t.intersectionZ});for(var p=[],d=this._order.length-1;d>=0;d--){var g=this._order[d];if(r(g))for(var v=i.length-1;v>=0;v--){var m=i[v].feature;if(n[m.layer.id]<d)break;p.push(m),i.pop()}else for(var y=0,x=t;y<x.length;y+=1){var b=x[y][g];if(b)for(var _=0,w=b;_<w.length;_+=1){var k=w[_];p.push(k.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,"queryRenderedFeatures.filter",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error("parameters.layers must be an Array."))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error("The layer '"+s+"' does not exist in the map's style and cannot be queried for features."))),[];i[l.source]=!0}}var c=[];for(var u in this.sourceCaches)r.layers&&!i[u]||c.push(R(this.sourceCaches[u],this._layers,e,r,n));return this.placement&&c.push(function(t,e,r,n,i,a){for(var o={},s=i.queryRenderedSymbols(r),l=[],c=0,u=Object.keys(s).map(Number);c<u.length;c+=1){var h=u[c];l.push(a[h])}l.sort(F);for(var f=function(){var e=d[p],r=e.featureIndex.lookupSymbolFeatures(s[e.bucketInstanceId],e.bucketIndex,e.sourceLayerIndex,n.filter,n.layers,t);for(var i in r){var a=o[i]=o[i]||[],l=r[i];l.sort(function(t,r){var n=e.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(r.featureIndex)-i}return r.featureIndex-t.featureIndex});for(var c=0,u=l;c<u.length;c+=1){var h=u[c];a.push(h)}}},p=0,d=l;p<d.length;p+=1)f();var g=function(r){o[r].forEach(function(n){var i=n.feature,a=t[r],o=e[a.source].getFeatureState(i.layer["source-layer"],i.id);i.source=i.layer.source,i.layer["source-layer"]&&(i.sourceLayer=i.layer["source-layer"]),i.state=o})};for(var v in o)g(v);return o}(this._layers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(c)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,"querySourceFeatures.filter",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map(function(e){return t.getTileByID(e)}),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called "'+t+'" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast("loadWorkerSource",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&Oe(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off("pluginAvailable",this._rtlTextPluginCallback),this.sourceCaches)this.sourceCaches[e].clearTiles();this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i){for(var a=!1,o=!1,s={},l=0,c=this._order;l<c.length;l+=1){var u=c[l],h=this._layers[u];if("symbol"===h.type){if(!s[h.source]){var f=this.sourceCaches[h.source];s[h.source]=f.getRenderableIds(!0).map(function(t){return f.getTileByID(t)}).sort(function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)})}var p=this.crossTileSymbolIndex.addLayer(h,s[h.source],e.center.lng);a=a||p}}this.crossTileSymbolIndex.pruneUnusedLayers(this._order);var d=this._layerOrderChanged||0===n;if((d||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now()))&&(this.pauseablePlacement=new Me(e,this._order,d,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,s),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),o=!0),a&&this.pauseablePlacement.placement.setStale()),o||a)for(var g=0,v=this._order;g<v.length;g+=1){var m=v[g],y=this._layers[m];"symbol"===y.type&&this.placement.updateLayerOpacities(y,s[y.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);De.getSourceType=function(t){return z[t]},De.setSourceType=function(t,e){z[t]=e},De.registerForPluginAvailability=t.registerForPluginAvailability;var Re=t.createLayout([{name:"a_pos",type:"Int16",components:2}]),Fe=lr("#ifdef GL_ES\nprecision mediump float;\n#else\n#if !defined(lowp)\n#define lowp\n#endif\n#if !defined(mediump)\n#define mediump\n#endif\n#if !defined(highp)\n#define highp\n#endif\n#endif","#ifdef GL_ES\nprecision highp float;\n#else\n#if !defined(lowp)\n#define lowp\n#endif\n#if !defined(mediump)\n#define mediump\n#endif\n#if !defined(highp)\n#define highp\n#endif\n#endif\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}"),Be=lr("uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}"),Ne=lr("uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}"),je=lr("varying vec3 v_data;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define mediump float radius\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define highp vec4 stroke_color\n#pragma mapbox: define mediump float stroke_width\n#pragma mapbox: define lowp float stroke_opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize mediump float radius\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize highp vec4 stroke_color\n#pragma mapbox: initialize mediump float stroke_width\n#pragma mapbox: initialize lowp float stroke_opacity\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define mediump float radius\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define highp vec4 stroke_color\n#pragma mapbox: define mediump float stroke_width\n#pragma mapbox: define lowp float stroke_opacity\nvoid main(void) {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize mediump float radius\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize highp vec4 stroke_color\n#pragma mapbox: initialize mediump float stroke_width\n#pragma mapbox: initialize lowp float stroke_opacity\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}"),Ue=lr("void main() {gl_FragColor=vec4(1.0);}","attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}"),Ve=lr("uniform highp float u_intensity;varying vec2 v_extrude;\n#pragma mapbox: define highp float weight\n#define GAUSS_COEF 0.3989422804014327\nvoid main() {\n#pragma mapbox: initialize highp float weight\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\n#pragma mapbox: define highp float weight\n#pragma mapbox: define mediump float radius\nconst highp float ZERO=1.0/255.0/16.0;\n#define GAUSS_COEF 0.3989422804014327\nvoid main(void) {\n#pragma mapbox: initialize highp float weight\n#pragma mapbox: initialize mediump float radius\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}"),qe=lr("uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(0.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}"),He=lr("varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}","attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}"),Ge=lr("uniform float u_overscale_factor;varying float v_placed;varying float v_notUsed;varying float v_radius;varying vec2 v_extrude;varying vec2 v_extrude_scale;void main() {float alpha=0.5;vec4 color=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {color=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {color*=.2;}float extrude_scale_length=length(v_extrude_scale);float extrude_length=length(v_extrude)*extrude_scale_length;float stroke_width=15.0*extrude_scale_length/u_overscale_factor;float radius=v_radius*extrude_scale_length;float distance_to_edge=abs(extrude_length-radius);float opacity_t=smoothstep(-stroke_width,0.0,-distance_to_edge);gl_FragColor=opacity_t*color;}","attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;varying float v_radius;varying vec2 v_extrude;varying vec2 v_extrude_scale;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);highp float padding_factor=1.2;gl_Position.xy+=a_extrude*u_extrude_scale*padding_factor*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;v_radius=abs(a_extrude.y);v_extrude=a_extrude*padding_factor;v_extrude_scale=u_extrude_scale*u_camera_to_center_distance*collision_perspective_ratio;}"),Ye=lr("uniform highp vec4 u_color;void main() {gl_FragColor=u_color;}","attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}"),We=lr("#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_FragColor=color*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);}"),Xe=lr("varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),Ze=lr("uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec4 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float pixelRatio=u_scale.x;float tileRatio=u_scale.y;float fromScale=u_scale.z;float toScale=u_scale.w;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=vec2((pattern_br_a.x-pattern_tl_a.x)/pixelRatio,(pattern_br_a.y-pattern_tl_a.y)/pixelRatio);vec2 display_size_b=vec2((pattern_br_b.x-pattern_tl_b.x)/pixelRatio,(pattern_br_b.y-pattern_tl_b.y)/pixelRatio);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),Je=lr("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec4 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float pixelRatio=u_scale.x;float tileZoomRatio=u_scale.y;float fromScale=u_scale.z;float toScale=u_scale.w;vec2 display_size_a=vec2((pattern_br_a.x-pattern_tl_a.x)/pixelRatio,(pattern_br_a.y-pattern_tl_a.y)/pixelRatio);vec2 display_size_b=vec2((pattern_br_b.x-pattern_tl_b.x)/pixelRatio,(pattern_br_b.y-pattern_tl_b.y)/pixelRatio);gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}"),Ke=lr("varying vec4 v_color;void main() {gl_FragColor=v_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\n#pragma mapbox: define highp float base\n#pragma mapbox: define highp float height\n#pragma mapbox: define highp vec4 color\nvoid main() {\n#pragma mapbox: initialize highp float base\n#pragma mapbox: initialize highp float height\n#pragma mapbox: initialize highp vec4 color\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}"),$e=lr("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec4 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float pixelRatio=u_scale.x;float tileRatio=u_scale.y;float fromScale=u_scale.z;float toScale=u_scale.w;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=vec2((pattern_br_a.x-pattern_tl_a.x)/pixelRatio,(pattern_br_a.y-pattern_tl_a.y)/pixelRatio);vec2 display_size_b=vec2((pattern_br_b.x-pattern_tl_b.x)/pixelRatio,(pattern_br_b.y-pattern_tl_b.y)/pixelRatio);base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\n? a_pos\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}"),Qe=lr("#ifdef GL_ES\nprecision highp float;\n#endif\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;return (data.r+data.g*256.0+data.b*256.0*256.0)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}"),tr=lr("uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\n#define PI 3.141592653589793\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}"),er=lr("uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),rr=lr("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define MAX_LINE_DISTANCE 32767.0\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),nr=lr("uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec4 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float pixelRatio=u_scale.x;float tileZoomRatio=u_scale.y;float fromScale=u_scale.z;float toScale=u_scale.w;vec2 display_size_a=vec2((pattern_br_a.x-pattern_tl_a.x)/pixelRatio,(pattern_br_a.y-pattern_tl_a.y)/pixelRatio);vec2 display_size_b=vec2((pattern_br_b.x-pattern_tl_b.x)/pixelRatio,(pattern_br_b.y-pattern_tl_b.y)/pixelRatio);vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x,1.0);float x_b=mod(v_linesofar/pattern_size_b.x,1.0);float y_a=0.5+(v_normal.y*clamp(v_width2.s,0.0,(pattern_size_a.y+2.0)/2.0)/pattern_size_a.y);float y_b=0.5+(v_normal.y*clamp(v_width2.s,0.0,(pattern_size_b.y+2.0)/2.0)/pattern_size_b.y);vec2 pos_a=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,vec2(x_a,y_a));vec2 pos_b=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,vec2(x_b,y_b));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);}"),ir=lr("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}"),ar=lr("uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}"),or=lr("uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size[0],a_size[1],u_size_t)/256.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size[0]/256.0;} else if (!u_is_size_zoom_constant && u_is_size_feature_constant) {size=u_size;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}"),sr=lr("#define SDF_PX 8.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size[0],a_size[1],u_size_t)/256.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size[0]/256.0;} else if (!u_is_size_zoom_constant && u_is_size_feature_constant) {size=u_size;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=vec2(tex.x,tex.y);v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}");function lr(t,e){var r=/#pragma mapbox: ([\w]+) ([\w]+) ([\w]+) ([\w]+)/g,n={};return{fragmentSource:t=t.replace(r,function(t,e,r,i,a){return n[a]=!0,"define"===e?"\n#ifndef HAS_UNIFORM_u_"+a+"\nvarying "+r+" "+i+" "+a+";\n#else\nuniform "+r+" "+i+" u_"+a+";\n#endif\n":"\n#ifdef HAS_UNIFORM_u_"+a+"\n "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n"}),vertexSource:e=e.replace(r,function(t,e,r,i,a){var o="float"===i?"vec2":"vec4",s=a.match(/color/)?"color":o;return n[a]?"define"===e?"\n#ifndef HAS_UNIFORM_u_"+a+"\nuniform lowp float u_"+a+"_t;\nattribute "+r+" "+o+" a_"+a+";\nvarying "+r+" "+i+" "+a+";\n#else\nuniform "+r+" "+i+" u_"+a+";\n#endif\n":"vec4"===s?"\n#ifndef HAS_UNIFORM_u_"+a+"\n "+a+" = a_"+a+";\n#else\n "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+a+"\n "+a+" = unpack_mix_"+s+"(a_"+a+", u_"+a+"_t);\n#else\n "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n":"define"===e?"\n#ifndef HAS_UNIFORM_u_"+a+"\nuniform lowp float u_"+a+"_t;\nattribute "+r+" "+o+" a_"+a+";\n#else\nuniform "+r+" "+i+" u_"+a+";\n#endif\n":"vec4"===s?"\n#ifndef HAS_UNIFORM_u_"+a+"\n "+r+" "+i+" "+a+" = a_"+a+";\n#else\n "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+a+"\n "+r+" "+i+" "+a+" = unpack_mix_"+s+"(a_"+a+", u_"+a+"_t);\n#else\n "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n"})}}var cr=Object.freeze({prelude:Fe,background:Be,backgroundPattern:Ne,circle:je,clippingMask:Ue,heatmap:Ve,heatmapTexture:qe,collisionBox:He,collisionCircle:Ge,debug:Ye,fill:We,fillOutline:Xe,fillOutlinePattern:Ze,fillPattern:Je,fillExtrusion:Ke,fillExtrusionPattern:$e,hillshadePrepare:Qe,hillshade:tr,line:er,lineGradient:rr,linePattern:nr,lineSDF:ir,raster:ar,symbolIcon:or,symbolSDF:sr}),ur=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};ur.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c<n.length;c++)this.boundPaintVertexBuffers[c]!==n[c]&&(l=!0);var u=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||u?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},ur.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,c=this.context,u=c.gl;if(c.extVertexArrayObject)this.vao&&this.destroy(),this.vao=c.extVertexArrayObject.createVertexArrayOES(),c.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=c.currentNumAttributes||0;for(var h=l;h<s;h++)u.disableVertexAttribArray(h)}e.enableAttributes(u,t);for(var f=0,p=r;f<p.length;f+=1)p[f].enableAttributes(u,t);a&&a.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,i);for(var d=0,g=r;d<g.length;d+=1){var v=g[d];v.bind(),v.setVertexAttribPointers(u,t,i)}a&&(a.bind(),a.setVertexAttribPointers(u,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,i)),c.currentNumAttributes=l},ur.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var hr=function(t,e,r,n,i){var a=t.gl;this.program=a.createProgram();var o=r.defines();i&&o.push("#define OVERDRAW_INSPECTOR;");var s=o.concat(Fe.fragmentSource,e.fragmentSource).join("\n"),l=o.concat(Fe.vertexSource,e.vertexSource).join("\n"),c=a.createShader(a.FRAGMENT_SHADER);a.shaderSource(c,s),a.compileShader(c),a.attachShader(this.program,c);var u=a.createShader(a.VERTEX_SHADER);a.shaderSource(u,l),a.compileShader(u),a.attachShader(this.program,u);for(var h=r.layoutAttributes||[],f=0;f<h.length;f++)a.bindAttribLocation(this.program,f,h[f].name);a.linkProgram(this.program),this.numAttributes=a.getProgramParameter(this.program,a.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var g=a.getActiveAttrib(this.program,d);g&&(this.attributes[g.name]=a.getAttribLocation(this.program,g.name))}for(var v=a.getProgramParameter(this.program,a.ACTIVE_UNIFORMS),m=0;m<v;m++){var y=a.getActiveUniform(this.program,m);y&&(p[y.name]=a.getUniformLocation(this.program,y.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r.getUniforms(t,p)};function fr(e,r,n){var i=1/le(n,1,r.transform.tileZoom),a=Math.pow(2,n.tileID.overscaledZ),o=n.tileSize*Math.pow(2,r.transform.tileZoom)/a,s=o*(n.tileID.canonical.x+n.tileID.wrap*a),l=o*n.tileID.canonical.y;return{u_image:0,u_texsize:n.imageAtlasTexture.size,u_scale:[t.browser.devicePixelRatio,i,e.fromScale,e.toScale],u_fade:e.t,u_pixel_coord_upper:[s>>16,l>>16],u_pixel_coord_lower:[65535&s,65535&l]}}hr.prototype.draw=function(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,g){var v,m=t.gl;for(var y in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,h,{zoom:f});for(var x=(v={},v[m.LINES]=2,v[m.TRIANGLES]=3,v[m.LINE_STRIP]=1,v)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],k=w.vaos||(w.vaos={});(k[s]||(k[s]=new ur)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,g),m.drawElements(e,w.primitiveLength*x,m.UNSIGNED_SHORT,w.primitiveOffset*x*2)}};var pr=function(e,r,n,i){var a=r.style.light,o=a.properties.get("position"),s=[o.x,o.y,o.z],l=t.create$1();"viewport"===a.properties.get("anchor")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=a.properties.get("color");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get("intensity"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:i}},dr=function(e,r,n,i,a,o,s){return t.extend(pr(e,r,n,i),fr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},gr=function(t){return{u_matrix:t}},vr=function(e,r,n,i){return t.extend(gr(e),fr(n,r,i))},mr=function(t,e){return{u_matrix:t,u_world:e}},yr=function(e,r,n,i,a){return t.extend(vr(e,r,n,i),{u_world:a})},xr=function(e,r,n,i){var a,o,s=e.transform;if("map"===i.paint.get("circle-pitch-alignment")){var l=le(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+("map"===i.paint.get("circle-pitch-scale")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get("circle-translate"),i.paint.get("circle-translate-anchor")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},br=function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},_r=function(t,e,r){var n=le(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},wr=function(t,e){return{u_matrix:t,u_color:e}},kr=function(t){return{u_matrix:t}},Tr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:le(e,1,r),u_intensity:n}},Ar=function(t,e,r){var n=r.paint.get("hillshade-shadow-color"),i=r.paint.get("hillshade-highlight-color"),a=r.paint.get("hillshade-accent-color"),o=r.paint.get("hillshade-illumination-direction")*(Math.PI/180);"viewport"===r.paint.get("hillshade-illumination-anchor")&&(o-=t.transform.angle);var s=!t.options.moving;return{u_matrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped(),s),u_image:0,u_latrange:Sr(t,e.tileID),u_light:[r.paint.get("hillshade-exaggeration"),o],u_shadow:n,u_highlight:i,u_accent:a}},Mr=function(e,r){var n=e.dem.stride,i=t.create();return t.ortho(i,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(i,i,[0,-t.EXTENT,0]),{u_matrix:i,u_image:1,u_dimension:[n,n],u_zoom:e.tileID.overscaledZ,u_maxzoom:r}};function Sr(e,r){var n=Math.pow(2,r.canonical.z),i=r.canonical.y;return[new t.MercatorCoordinate(0,i/n).toLngLat().lat,new t.MercatorCoordinate(0,(i+1)/n).toLngLat().lat]}var Er=function(e,r,n){var i=e.transform;return{u_matrix:zr(e,r,n),u_ratio:1/le(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Cr=function(e,r,n){return t.extend(Er(e,r,n),{u_image:0})},Lr=function(e,r,n,i){var a=e.transform,o=Or(r,a);return{u_matrix:zr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/le(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[t.browser.devicePixelRatio,o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Pr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=Or(r,o),c="round"===n.layout.get("line-cap"),u=s.getDash(i.from,c),h=s.getDash(i.to,c),f=u.width*a.fromScale,p=h.width*a.toScale;return t.extend(Er(e,r,n),{u_patternscale_a:[l/f,-u.height/2],u_patternscale_b:[l/p,-h.height/2],u_sdfgamma:s.width/(256*Math.min(f,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:u.y,u_tex_y_b:h.y,u_mix:a.t})};function Or(t,e){return 1/le(t,1,e.tileZoom)}function zr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get("line-translate"),r.paint.get("line-translate-anchor"))}var Ir=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get("raster-opacity"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get("raster-brightness-min"),u_brightness_high:i.paint.get("raster-brightness-max"),u_saturation_factor:(o=i.paint.get("raster-saturation"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get("raster-contrast"),a>0?1/(1-a):1+a),u_spin_weights:function(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]}(i.paint.get("raster-hue-rotate"))};var a,o};var Dr=function(t,e,r,n,i,a,o,s,l,c){var u=i.transform;return{u_is_size_zoom_constant:+("constant"===t||"source"===t),u_is_size_feature_constant:+("constant"===t||"camera"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Rr=function(e,r,n,i,a,o,s,l,c,u,h){var f=a.transform;return t.extend(Dr(e,r,n,i,a,o,s,l,c,u),{u_gamma_scale:i?Math.cos(f._pitch)*f.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+h})},Fr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Br=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from),a=r.imageManager.getPattern(t.to),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,h=u*(n.tileID.canonical.x+n.tileID.wrap*c),f=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/le(n,1,r.transform.tileZoom),u_pixel_coord_upper:[h>>16,f>>16],u_pixel_coord_lower:[65535&h,65535&f]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},Nr={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform4f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform4f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform4f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:br,collisionCircle:br,debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform4f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1f(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1f(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1f(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function jr(e,r){for(var n=e.sort(function(t,e){return t.tileID.isLessThan(e.tileID)?-1:e.tileID.isLessThan(t.tileID)?1:0}),i=0;i<n.length;i++){var a={},o=n[i],s=n.slice(i+1);Ur(o.tileID.wrapped(),o.tileID,s,new t.OverscaledTileID(0,o.tileID.wrap+1,0,0,0),a),o.setMask(a,r)}}function Ur(e,r,n,i,a){for(var o=0;o<n.length;o++){var s=n[o];if(i.isLessThan(s.tileID))break;if(r.key===s.tileID.key)return;if(s.tileID.isChildOf(r)){for(var l=r.children(1/0),c=0;c<l.length;c++)Ur(e,l[c],n.slice(o),i,a);return}}var u=r.overscaledZ-e.overscaledZ,h=new t.CanonicalTileID(u,r.canonical.x-(e.canonical.x<<u),r.canonical.y-(e.canonical.y<<u));a[h.key]=a[h.key]||h}function Vr(t,e,r,n,i){for(var a=t.context,o=a.gl,s=i?t.useProgram("collisionCircle"):t.useProgram("collisionBox"),l=0;l<n.length;l++){var c=n[l],u=e.getTile(c),h=u.getBucket(r);if(h){var f=i?h.collisionCircle:h.collisionBox;f&&s.draw(a,i?o.TRIANGLES:o.LINES,Tt.disabled,At.disabled,t.colorModeForRenderPass(),St.disabled,_r(c.posMatrix,t.transform,u),r.id,f.layoutVertexBuffer,f.indexBuffer,f.segments,null,t.transform.zoom,null,null,f.collisionVertexBuffer)}}}var qr=t.identity(new Float32Array(16));function Hr(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateRadialOffset(e,i);return new t.Point((l/a+u[0])*o,(c/a+u[1])*o)}function Gr(e,r,n,i,a,o,s,l,c,u){var h=e.text.placedSymbolArray,f=e.text.dynamicLayoutVertexArray;f.clear();for(var p=0;p<h.length;p++){var d=h.get(p),g=!d.hidden&&d.crossTileID?i[d.crossTileID]:null;if(g){var v=new t.Point(d.anchorX,d.anchorY),m=Zt(v,n?l:s),y=.5+o.cameraToCenterDistance/m.signedDistanceFromCamera*.5,x=a.evaluateSizeForFeature(e.textSizeData,u,d)*y/t.ONE_EM;n&&(x*=e.tilePixelRatio/c);for(var b=g.width,_=g.height,w=g.radialOffset,k=g.textBoxScale,T=Hr(g.anchor,b,_,w,k,x),A=n?Zt(v.add(T),s).point:m.point.add(r?T.rotate(-o.angle):T),M=0;M<d.numGlyphs;M++)t.addDynamicAttributes(f,A,0)}else ie(d.numGlyphs,f)}e.text.dynamicLayoutVertexBuffer.updateData(f)}function Yr(e,r,n,i,a,o,s,l,c,u,h,f,p){for(var d,g,v=e.context,m=v.gl,y=e.transform,x="map"===l,b="map"===c,_=x&&"point"!==n.layout.get("symbol-placement"),w=x&&!b&&!_,k=void 0!==n.layout.get("symbol-sort-key").constantOr(1),T=e.depthModeForSublayer(0,Tt.ReadOnly),A=n.layout.get("text-variable-anchor"),M=[],S=0,E=i;S<E.length;S+=1){var C=E[S],L=r.getTile(C),P=L.getBucket(n);if(P){var O=a?P.text:P.icon;if(O&&O.segments.get().length){var z=O.programConfigurations.get(n.id),I=a||P.sdfIcons,D=a?P.textSizeData:P.iconSizeData;d||(d=e.useProgram(I?"symbolSDF":"symbolIcon",z),g=t.evaluateSizeForZoom(D,y.zoom)),v.activeTexture.set(m.TEXTURE0);var R=void 0,F=void 0,B=void 0;if(a)F=L.glyphAtlasTexture,B=m.LINEAR,R=L.glyphAtlasTexture.size;else{var N=1!==n.layout.get("icon-size").constantOr(0)||P.iconsNeedLinear,j=b||0!==y.pitch;F=L.imageAtlasTexture,B=I||e.options.rotating||e.options.zooming||N||j?m.LINEAR:m.NEAREST,R=L.imageAtlasTexture.size}var U=le(L,1,e.transform.zoom),V=Wt(C.posMatrix,b,x,e.transform,U),q=Xt(C.posMatrix,b,x,e.transform,U);if(_)Kt(P,C.posMatrix,e,a,V,q,b,u);else if(a&&g&&A){var H=Math.pow(2,y.zoom-L.tileID.overscaledZ);Gr(P,x,b,p,t.symbolSize,y,V,C.posMatrix,H,g)}var G=e.translatePosMatrix(C.posMatrix,L,o,s),Y=_||a&&A?qr:V,W=e.translatePosMatrix(q,L,o,s,!0),X=I&&0!==n.paint.get(a?"text-halo-width":"icon-halo-width").constantOr(1),Z={program:d,buffers:O,uniformValues:I?Rr(D.kind,g,w,b,e,G,Y,W,a,R,!0):Dr(D.kind,g,w,b,e,G,Y,W,a,R),atlasTexture:F,atlasInterpolation:B,isSDF:I,hasHalo:X};if(k)for(var J=0,K=O.segments.get();J<K.length;J+=1){var $=K[J];M.push({segments:new t.SegmentVector([$]),sortKey:$.sortKey,state:Z})}else M.push({segments:O.segments,sortKey:0,state:Z})}}}k&&M.sort(function(t,e){return t.sortKey-e.sortKey});for(var Q=0,tt=M;Q<tt.length;Q+=1){var et=tt[Q],rt=et.state;if(rt.atlasTexture.bind(rt.atlasInterpolation,m.CLAMP_TO_EDGE),rt.isSDF){var nt=rt.uniformValues;rt.hasHalo&&(nt.u_is_halo=1,Wr(rt.buffers,et.segments,n,e,rt.program,T,h,f,nt)),nt.u_is_halo=0}Wr(rt.buffers,et.segments,n,e,rt.program,T,h,f,rt.uniformValues)}}function Wr(t,e,r,n,i,a,o,s,l){var c=n.context,u=c.gl;i.draw(c,u.TRIANGLES,a,o,s,St.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function Xr(t,e,r,n,i,a,o){var s,l,c,u,h,f=t.context.gl,p=r.paint.get("fill-pattern"),d=p&&p.constantOr(1),g=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty("fill-outline-color")?"fillOutlinePattern":"fillOutline",s=f.LINES):(l=d?"fillPattern":"fill",s=f.TRIANGLES);for(var v=0,m=n;v<m.length;v+=1){var y=m[v],x=e.getTile(y);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(f.TEXTURE0),x.imageAtlasTexture.bind(f.LINEAR,f.CLAMP_TO_EDGE),_.updatePatternPaintBuffers(g));var k=p.constantOr(null);if(k&&x.imageAtlas){var T=x.imageAtlas.patternPositions[k.to],A=x.imageAtlas.patternPositions[k.from];T&&A&&_.setConstantPatternPositions(T,A)}var M=t.translatePosMatrix(y.posMatrix,x,r.paint.get("fill-translate"),r.paint.get("fill-translate-anchor"));if(o){u=b.indexBuffer2,h=b.segments2;var S=[f.drawingBufferWidth,f.drawingBufferHeight];c="fillOutlinePattern"===l&&d?yr(M,t,g,x,S):mr(M,S)}else u=b.indexBuffer,h=b.segments,c=d?vr(M,t,g,x):gr(M);w.draw(t.context,s,i,t.stencilModeForClipping(y),a,St.disabled,c,r.id,b.layoutVertexBuffer,u,h,r.paint,t.transform.zoom,_)}}}}function Zr(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,c=r.paint.get("fill-extrusion-pattern"),u=c.constantOr(1),h=r.getCrossfadeParameters(),f=r.paint.get("fill-extrusion-opacity"),p=0,d=n;p<d.length;p+=1){var g=d[p],v=e.getTile(g),m=v.getBucket(r);if(m){var y=m.programConfigurations.get(r.id),x=t.useProgram(u?"fillExtrusionPattern":"fillExtrusion",y);u&&(t.context.activeTexture.set(l.TEXTURE0),v.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),y.updatePatternPaintBuffers(h));var b=c.constantOr(null);if(b&&v.imageAtlas){var _=v.imageAtlas.patternPositions[b.to],w=v.imageAtlas.patternPositions[b.from];_&&w&&y.setConstantPatternPositions(_,w)}var k=t.translatePosMatrix(g.posMatrix,v,r.paint.get("fill-extrusion-translate"),r.paint.get("fill-extrusion-translate-anchor")),T=r.paint.get("fill-extrusion-vertical-gradient"),A=u?dr(k,t,T,f,g,h,v):pr(k,t,T,f);x.draw(s,s.gl.TRIANGLES,i,a,o,St.backCCW,A,r.id,m.layoutVertexBuffer,m.indexBuffer,m.segments,r.paint,t.transform.zoom,y)}}}function Jr(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var c=t.useProgram("hillshade");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var u=Ar(t,e,r);e.maskedBoundsBuffer&&e.maskedIndexBuffer&&e.segments?c.draw(o,s.TRIANGLES,n,i,a,St.disabled,u,r.id,e.maskedBoundsBuffer,e.maskedIndexBuffer,e.segments):c.draw(o,s.TRIANGLES,n,i,a,St.disabled,u,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function Kr(e,r,n,i,a,o,s){var l=e.context,c=l.gl;if(r.dem&&r.dem.data){var u=r.dem.dim,h=r.dem.stride,f=r.dem.getPixels();if(l.activeTexture.set(c.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var p=r.demTexture;p.update(f,{premultiply:!1}),p.bind(c.NEAREST,c.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,f,c.RGBA,{premultiply:!1}),r.demTexture.bind(c.NEAREST,c.CLAMP_TO_EDGE);l.activeTexture.set(c.TEXTURE0);var d=r.fbo;if(!d){var g=new t.Texture(l,{width:u,height:u,data:null},c.RGBA);g.bind(c.LINEAR,c.CLAMP_TO_EDGE),(d=r.fbo=l.createFramebuffer(u,u)).colorAttachment.set(g.texture)}l.bindFramebuffer.set(d.framebuffer),l.viewport.set([0,0,u,u]),e.useProgram("hillshadePrepare").draw(l,c.TRIANGLES,a,o,s,St.disabled,Mr(r,i),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function $r(e,r,n,i,a){var o=i.paint.get("raster-fade-duration");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),h=a.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),f=!r||Math.abs(r.tileID.overscaledZ-h)>Math.abs(e.tileID.overscaledZ-h),p=f&&e.refreshedUponExpiration?1:t.clamp(f?l:1-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}function Qr(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram("debug"),l=Tt.disabled,c=At.disabled,u=e.colorModeForRenderPass(),h="$debug";s.draw(i,a.LINE_STRIP,l,c,u,St.disabled,wr(o,t.Color.red),h,e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);for(var f=r.getTileByID(n.key).latestRawTileData,p=f&&f.byteLength||0,d=Math.floor(p/1024),g=function(t,e,r,n){n=n||1;var 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o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get("heatmap-opacity")}}(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}}(e,n))},line:function(e,r,n,i){if("translucent"===e.renderPass){var a=n.paint.get("line-opacity"),o=n.paint.get("line-width");if(0!==a.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,Tt.ReadOnly),l=e.colorModeForRenderPass(),c=n.paint.get("line-dasharray"),u=n.paint.get("line-pattern"),h=u.constantOr(1),f=n.paint.get("line-gradient"),p=n.getCrossfadeParameters(),d=c?"lineSDF":h?"linePattern":f?"lineGradient":"line",g=e.context,v=g.gl,m=!0;if(f){g.activeTexture.set(v.TEXTURE0);var y=n.gradientTexture;if(!n.gradient)return;y||(y=n.gradientTexture=new t.Texture(g,n.gradient,v.RGBA)),y.bind(v.LINEAR,v.CLAMP_TO_EDGE)}for(var x=0,b=i;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!h||w.patternsLoaded()){var k=w.getBucket(n);if(k){var T=k.programConfigurations.get(n.id),A=e.context.program.get(),M=e.useProgram(d,T),S=m||M.program!==A,E=u.constantOr(null);if(E&&w.imageAtlas){var C=w.imageAtlas.patternPositions[E.to],L=w.imageAtlas.patternPositions[E.from];C&&L&&T.setConstantPatternPositions(C,L)}var P=c?Pr(e,w,n,c,p):h?Lr(e,w,n,p):f?Cr(e,w,n):Er(e,w,n);c&&(S||e.lineAtlas.dirty)?(g.activeTexture.set(v.TEXTURE0),e.lineAtlas.bind(g)):h&&(g.activeTexture.set(v.TEXTURE0),w.imageAtlasTexture.bind(v.LINEAR,v.CLAMP_TO_EDGE),T.updatePatternPaintBuffers(p)),M.draw(g,v.TRIANGLES,s,e.stencilModeForClipping(_),l,St.disabled,P,n.id,k.layoutVertexBuffer,k.indexBuffer,k.segments,n.paint,e.transform.zoom,T),m=!1}}}}}},fill:function(e,r,n,i){var a=n.paint.get("fill-color"),o=n.paint.get("fill-opacity");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get("fill-pattern"),c=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?"opaque":"translucent";if(e.renderPass===c){var u=e.depthModeForSublayer(1,"opaque"===e.renderPass?Tt.ReadWrite:Tt.ReadOnly);Xr(e,r,n,i,u,s,!1)}if("translucent"===e.renderPass&&n.paint.get("fill-antialias")){var h=e.depthModeForSublayer(n.getPaintProperty("fill-outline-color")?2:0,Tt.ReadOnly);Xr(e,r,n,i,h,s,!0)}}},"fill-extrusion":function(t,e,r,n){var i=r.paint.get("fill-extrusion-opacity");if(0!==i&&"translucent"===t.renderPass){var a=new Tt(t.context.gl.LEQUAL,Tt.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get("fill-extrusion-pattern").constantOr(1))Zr(t,e,r,n,a,At.disabled,Mt.disabled),Zr(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();Zr(t,e,r,n,a,At.disabled,o)}}},hillshade:function(t,e,r,n){if("offscreen"===t.renderPass||"translucent"===t.renderPass){for(var i=t.context,a=e.getSource().maxzoom,o=t.depthModeForSublayer(0,Tt.ReadOnly),s=At.disabled,l=t.colorModeForRenderPass(),c=0,u=n;c<u.length;c+=1){var h=u[c],f=e.getTile(h);f.needsHillshadePrepare&&"offscreen"===t.renderPass?Kr(t,f,r,a,o,s,l):"translucent"===t.renderPass&&Jr(t,f,r,o,s,l)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if("translucent"===t.renderPass&&0!==r.paint.get("raster-opacity"))for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram("raster"),l=At.disabled,c=t.colorModeForRenderPass(),u=n.length&&n[0].overscaledZ,h=!t.options.moving,f=0,p=n;f<p.length;f+=1){var d=p[f],g=t.depthModeForSublayer(d.overscaledZ-u,1===r.paint.get("raster-opacity")?Tt.ReadWrite:Tt.ReadOnly,a.LESS),v=e.getTile(d),m=t.transform.calculatePosMatrix(d.toUnwrapped(),h);v.registerFadeDuration(r.paint.get("raster-fade-duration"));var y=e.findLoadedParent(d,0),x=$r(v,y,e,r,t.transform),b=void 0,_=void 0,w="nearest"===r.paint.get("raster-resampling")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),v.texture.bind(w,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),y?(y.texture.bind(w,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),b=Math.pow(2,y.tileID.overscaledZ-v.tileID.overscaledZ),_=[v.tileID.canonical.x*b%1,v.tileID.canonical.y*b%1]):v.texture.bind(w,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var k=Ir(m,_||[0,0],b||1,x,r);o instanceof L?s.draw(i,a.TRIANGLES,g,l,c,St.disabled,k,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):v.maskedBoundsBuffer&&v.maskedIndexBuffer&&v.segments?s.draw(i,a.TRIANGLES,g,l,c,St.disabled,k,r.id,v.maskedBoundsBuffer,v.maskedIndexBuffer,v.segments,r.paint,t.transform.zoom):s.draw(i,a.TRIANGLES,g,l,c,St.disabled,k,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get("background-color"),i=r.paint.get("background-opacity");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,c=r.paint.get("background-pattern");if(!t.isPatternMissing(c)){var u=c||1!==n.a||1!==i?"translucent":"opaque";if(t.renderPass===u){var h=At.disabled,f=t.depthModeForSublayer(0,"opaque"===u?Tt.ReadWrite:Tt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(c?"backgroundPattern":"background"),g=s.coveringTiles({tileSize:l});c&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var v=r.getCrossfadeParameters(),m=0,y=g;m<y.length;m+=1){var x=y[m],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=c?Br(b,i,t,c,{tileID:x,tileSize:l},v):Fr(b,i,n);d.draw(a,o.TRIANGLES,f,h,p,St.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)Qr(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if("offscreen"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if("translucent"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(At.disabled);var o="3d"===i.renderingMode?new Tt(t.context.gl.LEQUAL,Tt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Tt.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},rn=function(e,r){this.context=new Et(e),this.transform=r,this._tileTextures={},this.setup(),this.numSublayers=Ct.maxUnderzooming+Ct.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.depthRboNeedsClear=!0,this.emptyProgramConfiguration=new t.ProgramConfiguration,this.crossTileSymbolIndex=new Pe};function nn(t,e){if(t.y>e.y){var r=t;t=e,e=r}return{x0:t.x,y0:t.y,x1:e.x,y1:e.y,dx:e.x-t.x,dy:e.y-t.y}}function an(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,c=e.dx/e.dy,u=t.dx>0,h=e.dx<0,f=a;f<o;f++){var p=l*Math.max(0,Math.min(t.dy,f+u-t.y0))+t.x0,d=c*Math.max(0,Math.min(e.dy,f+h-e.y0))+e.x0;i(Math.floor(d),Math.ceil(p),f)}}function on(t,e,r,n,i,a){var o,s=nn(t,e),l=nn(e,r),c=nn(r,t);s.dy>l.dy&&(o=s,s=l,l=o),s.dy>c.dy&&(o=s,s=c,c=o),l.dy>c.dy&&(o=l,l=c,c=o),s.dy&&an(c,s,n,i,a),l.dy&&an(c,l,n,i,a)}rn.prototype.resize=function(e,r){var n=this.context.gl;if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var i=0,a=this.style._order;i<a.length;i+=1){var o=a[i];this.style._layers[o].resize()}this.depthRbo&&(n.deleteRenderbuffer(this.depthRbo),this.depthRbo=null)},rn.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,Re.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,Re.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,t.rasterBoundsAttributes.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,Re.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s);var l=this.context.gl;this.stencilClearMode=new At({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},rn.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram("clippingMask").draw(e,r.TRIANGLES,Tt.disabled,this.stencilClearMode,Mt.disabled,St.disabled,kr(n),"$clipping",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},rn.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(Mt.disabled),r.setDepthMode(Tt.disabled);var i=this.useProgram("clippingMask");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,Tt.disabled,new At({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),Mt.disabled,St.disabled,kr(s.posMatrix),"$clipping",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},rn.prototype.stencilModeFor3D=function(){this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new At({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},rn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new At({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},rn.prototype.colorModeForRenderPass=function(){var e=this.context.gl;return this._showOverdrawInspector?new Mt([e.CONSTANT_COLOR,e.ONE],new t.Color(1/8,1/8,1/8,0),[!0,!0,!0,!0]):"opaque"===this.renderPass?Mt.unblended:Mt.alphaBlended},rn.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return Tt.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new Tt(r||this.context.gl.LEQUAL,e,[n,n])},rn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},rn.prototype.render=function(e,r){this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var n=this.style._order,i=this.style.sourceCaches;for(var a in i){var o=i[a];o.used&&o.prepare(this.context)}var s={},l={},c={};for(var u in i){var h=i[u];s[u]=h.getVisibleCoordinates(),l[u]=s[u].slice().reverse(),c[u]=h.getVisibleCoordinates(!0).reverse()}for(var f in i){var p=i[f],d=p.getSource();if("raster"===d.type||"raster-dem"===d.type){for(var g=[],v=0,m=s[f];v<m.length;v+=1){var y=m[v];g.push(p.getTile(y))}jr(g,this.context)}}this.opaquePassCutoff=1/0;for(var x=0;x<n.length;x++){var b=n[x];if(this.style._layers[b].is3D()){this.opaquePassCutoff=x;break}}this.renderPass="offscreen",this.depthRboNeedsClear=!0;for(var _=0,w=n;_<w.length;_+=1){var k=w[_],T=this.style._layers[k];if(T.hasOffscreenPass()&&!T.isHidden(this.transform.zoom)){var A=l[T.source];("custom"===T.type||A.length)&&this.renderLayer(this,i[T.source],T,A)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass="opaque",this.currentLayer=n.length-1;this.currentLayer>=0;this.currentLayer--){var M=this.style._layers[n[this.currentLayer]],S=i[M.source],E=s[M.source];this._renderTileClippingMasks(M,E),this.renderLayer(this,S,M,E)}for(this.renderPass="translucent",this.currentLayer=0;this.currentLayer<n.length;this.currentLayer++){var C=this.style._layers[n[this.currentLayer]],L=i[C.source],P=("symbol"===C.type?c:l)[C.source];this._renderTileClippingMasks(C,s[C.source]),this.renderLayer(this,L,C,P)}if(this.options.showTileBoundaries)for(var O in i){en.debug(this,i[O],s[O]);break}this.context.setDefault()},rn.prototype.setupOffscreenDepthRenderbuffer=function(){var t=this.context;this.depthRbo||(this.depthRbo=t.createRenderbuffer(t.gl.DEPTH_COMPONENT16,this.width,this.height))},rn.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||("background"===r.type||"custom"===r.type||n.length)&&(this.id=r.id,en[r.type](t,e,r,n,this.style.placement.variableOffsets))},rn.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?"map"===i?this.transform.angle:0:"viewport"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var c=[a?n[0]:le(r,n[0],this.transform.zoom),a?n[1]:le(r,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.translate(u,e,c),u},rn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},rn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},rn.prototype.isPatternMissing=function(t){if(!t)return!1;var e=this.imageManager.getPattern(t.from),r=this.imageManager.getPattern(t.to);return!e||!r},rn.prototype.useProgram=function(t,e){void 0===e&&(e=this.emptyProgramConfiguration),this.cache=this.cache||{};var r=""+t+(e.cacheKey||"")+(this._showOverdrawInspector?"/overdraw":"");return this.cache[r]||(this.cache[r]=new hr(this.context,cr[t],e,Nr[t],this._showOverdrawInspector)),this.cache[r]},rn.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},rn.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)};var sn=function(e,r,n){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===n||n,this._minZoom=e||0,this._maxZoom=r||22,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._posMatrixCache={},this._alignedPosMatrixCache={}},ln={minZoom:{configurable:!0},maxZoom:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerPoint:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};sn.prototype.clone=function(){var t=new sn(this._minZoom,this._maxZoom,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._calcMatrices(),t},ln.minZoom.get=function(){return this._minZoom},ln.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},ln.maxZoom.get=function(){return this._maxZoom},ln.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},ln.renderWorldCopies.get=function(){return this._renderWorldCopies},ln.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},ln.worldSize.get=function(){return this.tileSize*this.scale},ln.centerPoint.get=function(){return this.size._div(2)},ln.size.get=function(){return new t.Point(this.width,this.height)},ln.bearing.get=function(){return-this.angle/Math.PI*180},ln.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},ln.pitch.get=function(){return this._pitch/Math.PI*180},ln.pitch.set=function(e){var r=t.clamp(e,0,60)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},ln.fov.get=function(){return this._fov/Math.PI*180},ln.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},ln.zoom.get=function(){return this._zoom},ln.zoom.set=function(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._constrain(),this._calcMatrices())},ln.center.get=function(){return this._center},ln.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},sn.prototype.coveringZoomLevel=function(t){return(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize))},sn.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},sn.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=new t.Point(a*i.x-.5,a*i.y-.5);return function(e,r,n,i){void 0===i&&(i=!0);var a=1<<e,o={};function s(r,s,l){var c,u,h,f;if(l>=0&&l<=a)for(c=r;c<s;c++)u=Math.floor(c/a),h=(c%a+a)%a,0!==u&&!0!==i||(f=new t.OverscaledTileID(n,u,e,h,l),o[f.key]=f)}var l=r.map(function(e){return new t.Point(e.x,e.y)._mult(a)});return on(l[0],l[1],l[2],0,a,s),on(l[2],l[3],l[0],0,a,s),Object.keys(o).map(function(t){return o[t]})}(r,[this.pointCoordinate(new t.Point(0,0)),this.pointCoordinate(new t.Point(this.width,0)),this.pointCoordinate(new t.Point(this.width,this.height)),this.pointCoordinate(new t.Point(0,this.height))],e.reparseOverscaled?n:r,this._renderWorldCopies).sort(function(t,e){return o.dist(t.canonical)-o.dist(e.canonical)})},sn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},ln.unmodified.get=function(){return this._unmodified},sn.prototype.zoomScale=function(t){return Math.pow(2,t)},sn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},sn.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},sn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},ln.point.get=function(){return this.project(this.center)},sn.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},sn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},sn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},sn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},sn.prototype.coordinateLocation=function(t){return t.toLngLat()},sn.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,c=n[1]/a,u=r[2]/i,h=n[2]/a,f=u===h?0:(0-u)/(h-u);return new t.MercatorCoordinate(t.number(o,s,f)/this.worldSize,t.number(l,c,f)/this.worldSize)},sn.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},sn.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},sn.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},sn.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},sn.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},sn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},sn.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var h=this.latRange;a=t.mercatorYfromLat(h[1])*this.worldSize,e=(o=t.mercatorYfromLat(h[0])*this.worldSize)-a<c.y?c.y/(o-a):0}if(this.lngRange){var f=this.lngRange;s=t.mercatorXfromLng(f[0])*this.worldSize,r=(l=t.mercatorXfromLng(f[1])*this.worldSize)-s<c.x?c.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=u,void(this._constraining=!1);if(this.latRange){var g=p.y,v=c.y/2;g-v<a&&(i=a+v),g+v>o&&(i=o-v)}if(this.lngRange){var m=p.x,y=c.x/2;m-y<s&&(n=s+y),m+y>l&&(n=l-y)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=u,this._constraining=!1}},sn.prototype._calcMatrices=function(){if(this.height){this.cameraToCenterDistance=.5/Math.tan(this._fov/2)*this.height;var e=this._fov/2,r=Math.PI/2+this._pitch,n=Math.sin(e)*this.cameraToCenterDistance/Math.sin(Math.PI-r-e),i=this.point,a=i.x,o=i.y,s=1.01*(Math.cos(Math.PI/2-this._pitch)*n+this.cameraToCenterDistance),l=new Float64Array(16);t.perspective(l,this._fov,this.width/this.height,1,s),t.scale(l,l,[1,-1,1]),t.translate(l,l,[0,0,-this.cameraToCenterDistance]),t.rotateX(l,l,this._pitch),t.rotateZ(l,l,this.angle),t.translate(l,l,[-a,-o,0]),this.mercatorMatrix=t.scale([],l,[this.worldSize,this.worldSize,this.worldSize]),t.scale(l,l,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=l;var c=this.width%2/2,u=this.height%2/2,h=Math.cos(this.angle),f=Math.sin(this.angle),p=a-Math.round(a)+h*c+f*u,d=o-Math.round(o)+h*u+f*c,g=new Float64Array(l);if(t.translate(g,g,[p>.5?p-1:p,d>.5?d-1:d,0]),this.alignedProjMatrix=g,l=t.create(),t.scale(l,l,[this.width/2,-this.height/2,1]),t.translate(l,l,[1,-1,0]),this.labelPlaneMatrix=l,l=t.create(),t.scale(l,l,[1,-1,1]),t.translate(l,l,[-1,-1,0]),t.scale(l,l,[2/this.width,2/this.height,1]),this.glCoordMatrix=l,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(l=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error("failed to invert matrix");this.pixelMatrixInverse=l,this._posMatrixCache={},this._alignedPosMatrixCache={}}},sn.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},sn.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},sn.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var c=l[s];n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(sn.prototype,ln);var cn=function(){var e,r,n,i;t.bindAll(["_onHashChange","_updateHash"],this),this._updateHash=(e=this._updateHashUnthrottled.bind(this),300,r=!1,n=null,i=function(){n=null,r&&(e(),n=setTimeout(i,300),r=!1)},function(){return r=!0,n||i(),n})};cn.prototype.addTo=function(e){return this._map=e,t.window.addEventListener("hashchange",this._onHashChange,!1),this._map.on("moveend",this._updateHash),this},cn.prototype.remove=function(){return t.window.removeEventListener("hashchange",this._onHashChange,!1),this._map.off("moveend",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},cn.prototype.getHashString=function(t){var e=this._map.getCenter(),r=Math.round(100*this._map.getZoom())/100,n=Math.ceil((r*Math.LN2+Math.log(512/360/.5))/Math.LN10),i=Math.pow(10,n),a=Math.round(e.lng*i)/i,o=Math.round(e.lat*i)/i,s=this._map.getBearing(),l=this._map.getPitch(),c="";return c+=t?"#/"+a+"/"+o+"/"+r:"#"+r+"/"+o+"/"+a,(s||l)&&(c+="/"+Math.round(10*s)/10),l&&(c+="/"+Math.round(l)),c},cn.prototype._onHashChange=function(){var e=t.window.location.hash.replace("#","").split("/");return e.length>=3&&(this._map.jumpTo({center:[+e[2],+e[1]],zoom:+e[0],bearing:+(e[3]||0),pitch:+(e[4]||0)}),!0)},cn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,"",e)}catch(t){}};var un=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),hn=function(e){function n(n,i,a){var o=r.touchPos(i.getCanvasContainer(),a),s=o.map(function(t){return i.unproject(t)}),l=o.reduce(function(t,e,r,n){return t.add(e.div(n.length))},new t.Point(0,0)),c=i.unproject(l);e.call(this,n,{points:o,point:l,lngLats:s,lngLat:c,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),fn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),pn=function(e){this._map=e,this._el=e.getCanvasContainer(),this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll(["_onWheel","_onTimeout","_onScrollFrame","_onScrollFinished"],this)};pn.prototype.setZoomRate=function(t){this._defaultZoomRate=t},pn.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},pn.prototype.isEnabled=function(){return!!this._enabled},pn.prototype.isActive=function(){return!!this._active},pn.prototype.isZooming=function(){return!!this._zooming},pn.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&"center"===t.around)},pn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},pn.prototype.onWheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%4.000244140625==0?this._type="wheel":0!==r&&Math.abs(r)<4?this._type="trackpad":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?"trackpad":"wheel",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this.isActive()||this._start(e)),e.preventDefault()}},pn.prototype._onTimeout=function(t){this._type="wheel",this._delta-=this._lastValue,this.isActive()||this._start(t)},pn.prototype._start=function(e){if(this._delta){this._frameId&&(this._map._cancelRenderFrame(this._frameId),this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0,this._map.fire(new t.Event("movestart",{originalEvent:e})),this._map.fire(new t.Event("zoomstart",{originalEvent:e}))),this._finishTimeout&&clearTimeout(this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=this._map._requestRenderFrame(this._onScrollFrame))}},pn.prototype._onScrollFrame=function(){var e=this;if(this._frameId=null,this.isActive()){var r=this._map.transform;if(0!==this._delta){var n="wheel"===this._type&&Math.abs(this._delta)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a="number"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),"wheel"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o="number"==typeof this._targetZoom?this._targetZoom:r.zoom,s=this._startZoom,l=this._easing,c=!1;if("wheel"===this._type&&s&&l){var u=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=l(u);r.zoom=t.number(s,o,h),u<1?this._frameId||(this._frameId=this._map._requestRenderFrame(this._onScrollFrame)):c=!0}else r.zoom=o,c=!0;r.setLocationAtPoint(this._around,this._aroundPoint),this._map.fire(new t.Event("move",{originalEvent:this._lastWheelEvent})),this._map.fire(new t.Event("zoom",{originalEvent:this._lastWheelEvent})),c&&(this._active=!1,this._finishTimeout=setTimeout(function(){e._zooming=!1,e._map.fire(new t.Event("zoomend",{originalEvent:e._lastWheelEvent})),e._map.fire(new t.Event("moveend",{originalEvent:e._lastWheelEvent})),delete e._targetZoom},200))}},pn.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r};var dn=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._container=e.getContainer(),this._clickTolerance=r.clickTolerance||1,t.bindAll(["_onMouseMove","_onMouseUp","_onKeyDown"],this)};dn.prototype.isEnabled=function(){return!!this._enabled},dn.prototype.isActive=function(){return!!this._active},dn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},dn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},dn.prototype.onMouseDown=function(e){this.isEnabled()&&e.shiftKey&&0===e.button&&(t.window.document.addEventListener("mousemove",this._onMouseMove,!1),t.window.document.addEventListener("keydown",this._onKeyDown,!1),t.window.document.addEventListener("mouseup",this._onMouseUp,!1),r.disableDrag(),this._startPos=this._lastPos=r.mousePos(this._el,e),this._active=!0)},dn.prototype._onMouseMove=function(t){var e=r.mousePos(this._el,t);if(!(this._lastPos.equals(e)||!this._box&&e.dist(this._startPos)<this._clickTolerance)){var n=this._startPos;this._lastPos=e,this._box||(this._box=r.create("div","mapboxgl-boxzoom",this._container),this._container.classList.add("mapboxgl-crosshair"),this._fireEvent("boxzoomstart",t));var i=Math.min(n.x,e.x),a=Math.max(n.x,e.x),o=Math.min(n.y,e.y),s=Math.max(n.y,e.y);r.setTransform(this._box,"translate("+i+"px,"+o+"px)"),this._box.style.width=a-i+"px",this._box.style.height=s-o+"px"}},dn.prototype._onMouseUp=function(e){if(0===e.button){var n=this._startPos,i=r.mousePos(this._el,e);this._finish(),r.suppressClick(),n.x===i.x&&n.y===i.y?this._fireEvent("boxzoomcancel",e):this._map.fitScreenCoordinates(n,i,this._map.getBearing(),{linear:!0}).fire(new t.Event("boxzoomend",{originalEvent:e}))}},dn.prototype._onKeyDown=function(t){27===t.keyCode&&(this._finish(),this._fireEvent("boxzoomcancel",t))},dn.prototype._finish=function(){this._active=!1,t.window.document.removeEventListener("mousemove",this._onMouseMove,!1),t.window.document.removeEventListener("keydown",this._onKeyDown,!1),t.window.document.removeEventListener("mouseup",this._onMouseUp,!1),this._container.classList.remove("mapboxgl-crosshair"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},dn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var gn=t.bezier(0,0,.25,1),vn=function(e,r){this._map=e,this._el=r.element||e.getCanvasContainer(),this._state="disabled",this._button=r.button||"right",this._bearingSnap=r.bearingSnap||0,this._pitchWithRotate=!1!==r.pitchWithRotate,t.bindAll(["onMouseDown","_onMouseMove","_onMouseUp","_onBlur","_onDragFrame"],this)};vn.prototype.isEnabled=function(){return"disabled"!==this._state},vn.prototype.isActive=function(){return"active"===this._state},vn.prototype.enable=function(){this.isEnabled()||(this._state="enabled")},vn.prototype.disable=function(){if(this.isEnabled())switch(this._state){case"active":this._state="disabled",this._unbind(),this._deactivate(),this._fireEvent("rotateend"),this._pitchWithRotate&&this._fireEvent("pitchend"),this._fireEvent("moveend");break;case"pending":this._state="disabled",this._unbind();break;default:this._state="disabled"}},vn.prototype.onMouseDown=function(e){if("enabled"===this._state){if("right"===this._button){if(this._eventButton=r.mouseButton(e),this._eventButton!==(e.ctrlKey?0:2))return}else{if(e.ctrlKey||0!==r.mouseButton(e))return;this._eventButton=0}r.disableDrag(),t.window.document.addEventListener("mousemove",this._onMouseMove,{capture:!0}),t.window.document.addEventListener("mouseup",this._onMouseUp),t.window.addEventListener("blur",this._onBlur),this._state="pending",this._inertia=[[t.browser.now(),this._map.getBearing()]],this._startPos=this._lastPos=r.mousePos(this._el,e),this._center=this._map.transform.centerPoint,e.preventDefault()}},vn.prototype._onMouseMove=function(t){var e=r.mousePos(this._el,t);this._lastPos.equals(e)||(this._lastMoveEvent=t,this._lastPos=e,"pending"===this._state&&(this._state="active",this._fireEvent("rotatestart",t),this._fireEvent("movestart",t),this._pitchWithRotate&&this._fireEvent("pitchstart",t)),this._frameId||(this._frameId=this._map._requestRenderFrame(this._onDragFrame)))},vn.prototype._onDragFrame=function(){this._frameId=null;var e=this._lastMoveEvent;if(e){var r=this._map.transform,n=this._startPos,i=this._lastPos,a=.8*(n.x-i.x),o=-.5*(n.y-i.y),s=r.bearing-a,l=r.pitch-o,c=this._inertia,u=c[c.length-1];this._drainInertiaBuffer(),c.push([t.browser.now(),this._map._normalizeBearing(s,u[1])]),r.bearing=s,this._pitchWithRotate&&(this._fireEvent("pitch",e),r.pitch=l),this._fireEvent("rotate",e),this._fireEvent("move",e),delete this._lastMoveEvent,this._startPos=this._lastPos}},vn.prototype._onMouseUp=function(t){if(r.mouseButton(t)===this._eventButton)switch(this._state){case"active":this._state="enabled",r.suppressClick(),this._unbind(),this._deactivate(),this._inertialRotate(t);break;case"pending":this._state="enabled",this._unbind()}},vn.prototype._onBlur=function(t){switch(this._state){case"active":this._state="enabled",this._unbind(),this._deactivate(),this._fireEvent("rotateend",t),this._pitchWithRotate&&this._fireEvent("pitchend",t),this._fireEvent("moveend",t);break;case"pending":this._state="enabled",this._unbind()}},vn.prototype._unbind=function(){t.window.document.removeEventListener("mousemove",this._onMouseMove,{capture:!0}),t.window.document.removeEventListener("mouseup",this._onMouseUp),t.window.removeEventListener("blur",this._onBlur),r.enableDrag()},vn.prototype._deactivate=function(){this._frameId&&(this._map._cancelRenderFrame(this._frameId),this._frameId=null),delete this._lastMoveEvent,delete this._startPos,delete this._lastPos},vn.prototype._inertialRotate=function(t){var e=this;this._fireEvent("rotateend",t),this._drainInertiaBuffer();var r=this._map,n=r.getBearing(),i=this._inertia,a=function(){Math.abs(n)<e._bearingSnap?r.resetNorth({noMoveStart:!0},{originalEvent:t}):e._fireEvent("moveend",t),e._pitchWithRotate&&e._fireEvent("pitchend",t)};if(i.length<2)a();else{var o=i[0],s=i[i.length-1],l=i[i.length-2],c=r._normalizeBearing(n,l[1]),u=s[1]-o[1],h=u<0?-1:1,f=(s[0]-o[0])/1e3;if(0!==u&&0!==f){var p=Math.abs(u*(.25/f));p>180&&(p=180);var d=p/180;c+=h*p*(d/2),Math.abs(r._normalizeBearing(c,0))<this._bearingSnap&&(c=r._normalizeBearing(0,c)),r.rotateTo(c,{duration:1e3*d,easing:gn,noMoveStart:!0},{originalEvent:t})}else a()}},vn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},vn.prototype._drainInertiaBuffer=function(){for(var e=this._inertia,r=t.browser.now();e.length>0&&r-e[0][0]>160;)e.shift()};var mn=t.bezier(0,0,.3,1),yn=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._state="disabled",this._clickTolerance=r.clickTolerance||1,t.bindAll(["_onMove","_onMouseUp","_onTouchEnd","_onBlur","_onDragFrame"],this)};yn.prototype.isEnabled=function(){return"disabled"!==this._state},yn.prototype.isActive=function(){return"active"===this._state},yn.prototype.enable=function(){this.isEnabled()||(this._el.classList.add("mapboxgl-touch-drag-pan"),this._state="enabled")},yn.prototype.disable=function(){if(this.isEnabled())switch(this._el.classList.remove("mapboxgl-touch-drag-pan"),this._state){case"active":this._state="disabled",this._unbind(),this._deactivate(),this._fireEvent("dragend"),this._fireEvent("moveend");break;case"pending":this._state="disabled",this._unbind();break;default:this._state="disabled"}},yn.prototype.onMouseDown=function(e){"enabled"===this._state&&(e.ctrlKey||0!==r.mouseButton(e)||(r.addEventListener(t.window.document,"mousemove",this._onMove,{capture:!0}),r.addEventListener(t.window.document,"mouseup",this._onMouseUp),this._start(e)))},yn.prototype.onTouchStart=function(e){"enabled"===this._state&&(e.touches.length>1||(r.addEventListener(t.window.document,"touchmove",this._onMove,{capture:!0,passive:!1}),r.addEventListener(t.window.document,"touchend",this._onTouchEnd),this._start(e)))},yn.prototype._start=function(e){t.window.addEventListener("blur",this._onBlur),this._state="pending",this._startPos=this._mouseDownPos=this._lastPos=r.mousePos(this._el,e),this._inertia=[[t.browser.now(),this._startPos]]},yn.prototype._onMove=function(e){e.preventDefault();var n=r.mousePos(this._el,e);this._lastPos.equals(n)||"pending"===this._state&&n.dist(this._mouseDownPos)<this._clickTolerance||(this._lastMoveEvent=e,this._lastPos=n,this._drainInertiaBuffer(),this._inertia.push([t.browser.now(),this._lastPos]),"pending"===this._state&&(this._state="active",this._fireEvent("dragstart",e),this._fireEvent("movestart",e)),this._frameId||(this._frameId=this._map._requestRenderFrame(this._onDragFrame)))},yn.prototype._onDragFrame=function(){this._frameId=null;var t=this._lastMoveEvent;if(t){var e=this._map.transform;e.setLocationAtPoint(e.pointLocation(this._startPos),this._lastPos),this._fireEvent("drag",t),this._fireEvent("move",t),this._startPos=this._lastPos,delete this._lastMoveEvent}},yn.prototype._onMouseUp=function(t){if(0===r.mouseButton(t))switch(this._state){case"active":this._state="enabled",r.suppressClick(),this._unbind(),this._deactivate(),this._inertialPan(t);break;case"pending":this._state="enabled",this._unbind()}},yn.prototype._onTouchEnd=function(t){switch(this._state){case"active":this._state="enabled",this._unbind(),this._deactivate(),this._inertialPan(t);break;case"pending":this._state="enabled",this._unbind()}},yn.prototype._onBlur=function(t){switch(this._state){case"active":this._state="enabled",this._unbind(),this._deactivate(),this._fireEvent("dragend",t),this._fireEvent("moveend",t);break;case"pending":this._state="enabled",this._unbind()}},yn.prototype._unbind=function(){r.removeEventListener(t.window.document,"touchmove",this._onMove,{capture:!0,passive:!1}),r.removeEventListener(t.window.document,"touchend",this._onTouchEnd),r.removeEventListener(t.window.document,"mousemove",this._onMove,{capture:!0}),r.removeEventListener(t.window.document,"mouseup",this._onMouseUp),r.removeEventListener(t.window,"blur",this._onBlur)},yn.prototype._deactivate=function(){this._frameId&&(this._map._cancelRenderFrame(this._frameId),this._frameId=null),delete this._lastMoveEvent,delete this._startPos,delete this._mouseDownPos,delete this._lastPos},yn.prototype._inertialPan=function(t){this._fireEvent("dragend",t),this._drainInertiaBuffer();var e=this._inertia;if(e.length<2)this._fireEvent("moveend",t);else{var r=e[e.length-1],n=e[0],i=r[1].sub(n[1]),a=(r[0]-n[0])/1e3;if(0===a||r[1].equals(n[1]))this._fireEvent("moveend",t);else{var o=i.mult(.3/a),s=o.mag();s>1400&&(s=1400,o._unit()._mult(s));var l=s/750,c=o.mult(-l/2);this._map.panBy(c,{duration:1e3*l,easing:mn,noMoveStart:!0},{originalEvent:t})}}},yn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},yn.prototype._drainInertiaBuffer=function(){for(var e=this._inertia,r=t.browser.now();e.length>0&&r-e[0][0]>160;)e.shift()};var xn=function(e){this._map=e,this._el=e.getCanvasContainer(),t.bindAll(["_onKeyDown"],this)};function bn(t){return t*(2-t)}xn.prototype.isEnabled=function(){return!!this._enabled},xn.prototype.enable=function(){this.isEnabled()||(this._el.addEventListener("keydown",this._onKeyDown,!1),this._enabled=!0)},xn.prototype.disable=function(){this.isEnabled()&&(this._el.removeEventListener("keydown",this._onKeyDown),this._enabled=!1)},xn.prototype._onKeyDown=function(t){if(!(t.altKey||t.ctrlKey||t.metaKey)){var e=0,r=0,n=0,i=0,a=0;switch(t.keyCode){case 61:case 107:case 171:case 187:e=1;break;case 189:case 109:case 173:e=-1;break;case 37:t.shiftKey?r=-1:(t.preventDefault(),i=-1);break;case 39:t.shiftKey?r=1:(t.preventDefault(),i=1);break;case 38:t.shiftKey?n=1:(t.preventDefault(),a=-1);break;case 40:t.shiftKey?n=-1:(a=1,t.preventDefault());break;default:return}var o=this._map,s=o.getZoom(),l={duration:300,delayEndEvents:500,easing:bn,zoom:e?Math.round(s)+e*(t.shiftKey?2:1):s,bearing:o.getBearing()+15*r,pitch:o.getPitch()+10*n,offset:[100*-i,100*-a],center:o.getCenter()};o.easeTo(l,{originalEvent:t})}};var _n=function(e){this._map=e,t.bindAll(["_onDblClick","_onZoomEnd"],this)};_n.prototype.isEnabled=function(){return!!this._enabled},_n.prototype.isActive=function(){return!!this._active},_n.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},_n.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},_n.prototype.onTouchStart=function(t){var e=this;if(this.isEnabled()&&!(t.points.length>1))if(this._tapped){var r=t.points[0],n=this._tappedPoint;if(n&&n.dist(r)<=30){t.originalEvent.preventDefault();var i=function(){e._tapped&&e._zoom(t),e._map.off("touchcancel",a),e._resetTapped()},a=function(){e._map.off("touchend",i),e._resetTapped()};this._map.once("touchend",i),this._map.once("touchcancel",a)}else this._resetTapped()}else this._tappedPoint=t.points[0],this._tapped=setTimeout(function(){e._tapped=null,e._tappedPoint=null},300)},_n.prototype._resetTapped=function(){clearTimeout(this._tapped),this._tapped=null,this._tappedPoint=null},_n.prototype.onDblClick=function(t){this.isEnabled()&&(t.originalEvent.preventDefault(),this._zoom(t))},_n.prototype._zoom=function(t){this._active=!0,this._map.on("zoomend",this._onZoomEnd),this._map.zoomTo(this._map.getZoom()+(t.originalEvent.shiftKey?-1:1),{around:t.lngLat},t)},_n.prototype._onZoomEnd=function(){this._active=!1,this._map.off("zoomend",this._onZoomEnd)};var wn=t.bezier(0,0,.15,1),kn=function(e){this._map=e,this._el=e.getCanvasContainer(),t.bindAll(["_onMove","_onEnd","_onTouchFrame"],this)};kn.prototype.isEnabled=function(){return!!this._enabled},kn.prototype.enable=function(t){this.isEnabled()||(this._el.classList.add("mapboxgl-touch-zoom-rotate"),this._enabled=!0,this._aroundCenter=!!t&&"center"===t.around)},kn.prototype.disable=function(){this.isEnabled()&&(this._el.classList.remove("mapboxgl-touch-zoom-rotate"),this._enabled=!1)},kn.prototype.disableRotation=function(){this._rotationDisabled=!0},kn.prototype.enableRotation=function(){this._rotationDisabled=!1},kn.prototype.onStart=function(e){if(this.isEnabled()&&2===e.touches.length){var n=r.mousePos(this._el,e.touches[0]),i=r.mousePos(this._el,e.touches[1]),a=n.add(i).div(2);this._startVec=n.sub(i),this._startAround=this._map.transform.pointLocation(a),this._gestureIntent=void 0,this._inertia=[],r.addEventListener(t.window.document,"touchmove",this._onMove,{passive:!1}),r.addEventListener(t.window.document,"touchend",this._onEnd)}},kn.prototype._getTouchEventData=function(t){var e=r.mousePos(this._el,t.touches[0]),n=r.mousePos(this._el,t.touches[1]),i=e.sub(n);return{vec:i,center:e.add(n).div(2),scale:i.mag()/this._startVec.mag(),bearing:this._rotationDisabled?0:180*i.angleWith(this._startVec)/Math.PI}},kn.prototype._onMove=function(e){if(2===e.touches.length){var r=this._getTouchEventData(e),n=r.vec,i=r.scale,a=r.bearing;if(!this._gestureIntent){var o=this._rotationDisabled&&1!==i||Math.abs(1-i)>.15;Math.abs(a)>10?this._gestureIntent="rotate":o&&(this._gestureIntent="zoom"),this._gestureIntent&&(this._map.fire(new t.Event(this._gestureIntent+"start",{originalEvent:e})),this._map.fire(new t.Event("movestart",{originalEvent:e})),this._startVec=n)}this._lastTouchEvent=e,this._frameId||(this._frameId=this._map._requestRenderFrame(this._onTouchFrame)),e.preventDefault()}},kn.prototype._onTouchFrame=function(){this._frameId=null;var e=this._gestureIntent;if(e){var r=this._map.transform;this._startScale||(this._startScale=r.scale,this._startBearing=r.bearing);var n=this._getTouchEventData(this._lastTouchEvent),i=n.center,a=n.bearing,o=n.scale,s=r.pointLocation(i),l=r.locationPoint(s);"rotate"===e&&(r.bearing=this._startBearing+a),r.zoom=r.scaleZoom(this._startScale*o),r.setLocationAtPoint(this._startAround,l),this._map.fire(new t.Event(e,{originalEvent:this._lastTouchEvent})),this._map.fire(new t.Event("move",{originalEvent:this._lastTouchEvent})),this._drainInertiaBuffer(),this._inertia.push([t.browser.now(),o,i])}},kn.prototype._onEnd=function(e){r.removeEventListener(t.window.document,"touchmove",this._onMove,{passive:!1}),r.removeEventListener(t.window.document,"touchend",this._onEnd);var n=this._gestureIntent,i=this._startScale;if(this._frameId&&(this._map._cancelRenderFrame(this._frameId),this._frameId=null),delete this._gestureIntent,delete this._startScale,delete this._startBearing,delete this._lastTouchEvent,n){this._map.fire(new t.Event(n+"end",{originalEvent:e})),this._drainInertiaBuffer();var a=this._inertia,o=this._map;if(a.length<2)o.snapToNorth({},{originalEvent:e});else{var s=a[a.length-1],l=a[0],c=o.transform.scaleZoom(i*s[1]),u=o.transform.scaleZoom(i*l[1]),h=c-u,f=(s[0]-l[0])/1e3,p=s[2];if(0!==f&&c!==u){var d=.15*h/f;Math.abs(d)>2.5&&(d=d>0?2.5:-2.5);var g=1e3*Math.abs(d/(12*.15)),v=c+d*g/2e3;v<0&&(v=0),o.easeTo({zoom:v,duration:g,easing:wn,around:this._aroundCenter?o.getCenter():o.unproject(p),noMoveStart:!0},{originalEvent:e})}else o.snapToNorth({},{originalEvent:e})}}},kn.prototype._drainInertiaBuffer=function(){for(var e=this._inertia,r=t.browser.now();e.length>2&&r-e[0][0]>160;)e.shift()};var Tn={scrollZoom:pn,boxZoom:dn,dragRotate:vn,dragPan:yn,keyboard:xn,doubleClickZoom:_n,touchZoomRotate:kn},An=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll(["_renderFrameCallback"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){if("number"==typeof(i=t.extend({padding:{top:0,bottom:0,right:0,left:0},offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var a=i.padding;i.padding={top:a,bottom:a,right:a,left:a}}if(t.deepEqual(Object.keys(i.padding).sort(function(t,e){return t<e?-1:t>e?1:0}),["bottom","left","right","top"])){var o=this.transform,s=o.project(t.LngLat.convert(e)),l=o.project(t.LngLat.convert(r)),c=s.rotate(-n*Math.PI/180),u=l.rotate(-n*Math.PI/180),h=new t.Point(Math.max(c.x,u.x),Math.max(c.y,u.y)),f=new t.Point(Math.min(c.x,u.x),Math.min(c.y,u.y)),p=h.sub(f),d=(o.width-i.padding.left-i.padding.right)/p.x,g=(o.height-i.padding.top-i.padding.bottom)/p.y;if(!(g<0||d<0)){var v=Math.min(o.scaleZoom(o.scale*Math.min(d,g)),i.maxZoom),m=t.Point.convert(i.offset),y=(i.padding.left-i.padding.right)/2,x=(i.padding.top-i.padding.bottom)/2,b=new t.Point(m.x+y,m.y+x).mult(o.scale/o.zoomScale(v));return{center:o.unproject(s.add(l).div(2).sub(b)),zoom:v,bearing:n}}t.warnOnce("Map cannot fit within canvas with the given bounds, padding, and/or offset.")}else t.warnOnce("options.padding must be a positive number, or an Object with keys 'bottom', 'left', 'right', 'top'")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(r=t.extend(e,r)).linear?this.easeTo(r,n):this.flyTo(r,n):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return"zoom"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),"bearing"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),"pitch"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),this.fire(new t.Event("movestart",r)).fire(new t.Event("move",r)),i&&this.fire(new t.Event("zoomstart",r)).fire(new t.Event("zoom",r)).fire(new t.Event("zoomend",r)),a&&this.fire(new t.Event("rotatestart",r)).fire(new t.Event("rotate",r)).fire(new t.Event("rotateend",r)),o&&this.fire(new t.Event("pitchstart",r)).fire(new t.Event("pitch",r)).fire(new t.Event("pitchend",r)),this.fire(new t.Event("moveend",r))},r.prototype.easeTo=function(e,r){var n=this;this.stop(),!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l="zoom"in e?+e.zoom:a,c="bearing"in e?this._normalizeBearing(e.bearing,o):o,u="pitch"in e?+e.pitch:s,h=i.centerPoint.add(t.Point.convert(e.offset)),f=i.pointLocation(h),p=t.LngLat.convert(e.center||f);this._normalizeCenter(p);var d,g,v=i.project(f),m=i.project(p).sub(v),y=i.zoomScale(l-a);return e.around&&(d=t.LngLat.convert(e.around),g=i.locationPoint(d)),this._zooming=l!==a,this._rotating=o!==c,this._pitching=u!==s,this._prepareEase(r,e.noMoveStart),clearTimeout(this._easeEndTimeoutID),this._ease(function(e){if(n._zooming&&(i.zoom=t.number(a,l,e)),n._rotating&&(i.bearing=t.number(o,c,e)),n._pitching&&(i.pitch=t.number(s,u,e)),d)i.setLocationAtPoint(d,g);else{var f=i.zoomScale(i.zoom-a),p=l>a?Math.min(2,y):Math.max(.5,y),x=Math.pow(p,1-e),b=i.unproject(v.add(m.mult(e*x)).mult(f));i.setLocationAtPoint(i.renderWorldCopies?b.wrap():b,h)}n._fireMoveEvents(r)},function(){e.delayEndEvents?n._easeEndTimeoutID=setTimeout(function(){return n._afterEase(r)},e.delayEndEvents):n._afterEase(r)},e),this},r.prototype._prepareEase=function(e,r){this._moving=!0,r||this.fire(new t.Event("movestart",e)),this._zooming&&this.fire(new t.Event("zoomstart",e)),this._rotating&&this.fire(new t.Event("rotatestart",e)),this._pitching&&this.fire(new t.Event("pitchstart",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event("move",e)),this._zooming&&this.fire(new t.Event("zoom",e)),this._rotating&&this.fire(new t.Event("rotate",e)),this._pitching&&this.fire(new t.Event("pitch",e))},r.prototype._afterEase=function(e){var r=this._zooming,n=this._rotating,i=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,r&&this.fire(new t.Event("zoomend",e)),n&&this.fire(new t.Event("rotateend",e)),i&&this.fire(new t.Event("pitchend",e)),this.fire(new t.Event("moveend",e))},r.prototype.flyTo=function(e,r){var n=this;this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l="zoom"in e?t.clamp(+e.zoom,i.minZoom,i.maxZoom):a,c="bearing"in e?this._normalizeBearing(e.bearing,o):o,u="pitch"in e?+e.pitch:s,h=i.zoomScale(l-a),f=i.centerPoint.add(t.Point.convert(e.offset)),p=i.pointLocation(f),d=t.LngLat.convert(e.center||p);this._normalizeCenter(d);var g=i.project(p),v=i.project(d).sub(g),m=e.curve,y=Math.max(i.width,i.height),x=y/h,b=v.mag();if("minZoom"in e){var _=t.clamp(Math.min(e.minZoom,a,l),i.minZoom,i.maxZoom),w=y/i.zoomScale(_-a);m=Math.sqrt(w/b*2)}var k=m*m;function T(t){var e=(x*x-y*y+(t?-1:1)*k*k*b*b)/(2*(t?x:y)*k*b);return Math.log(Math.sqrt(e*e+1)-e)}function A(t){return(Math.exp(t)-Math.exp(-t))/2}function M(t){return(Math.exp(t)+Math.exp(-t))/2}var S=T(0),E=function(t){return M(S)/M(S+m*t)},C=function(t){return y*((M(S)*(A(e=S+m*t)/M(e))-A(S))/k)/b;var e},L=(T(1)-S)/m;if(Math.abs(b)<1e-6||!isFinite(L)){if(Math.abs(y-x)<1e-6)return this.easeTo(e,r);var P=x<y?-1:1;L=Math.abs(Math.log(x/y))/m,C=function(){return 0},E=function(t){return Math.exp(P*m*t)}}if("duration"in e)e.duration=+e.duration;else{var O="screenSpeed"in e?+e.screenSpeed/m:+e.speed;e.duration=1e3*L/O}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=o!==c,this._pitching=u!==s,this._prepareEase(r,!1),this._ease(function(e){var h=e*L,p=1/E(h);i.zoom=1===e?l:a+i.scaleZoom(p),n._rotating&&(i.bearing=t.number(o,c,e)),n._pitching&&(i.pitch=t.number(s,u,e));var m=1===e?d:i.unproject(g.add(v.mult(C(h))).mult(p));i.setLocationAtPoint(i.renderWorldCopies?m.wrap():m,f),n._fireMoveEvents(r)},function(){return n._afterEase(r)},e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var t=this._onEaseEnd;delete this._onEaseEnd,t.call(this)}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),Mn=function(e){void 0===e&&(e={}),this.options=e,t.bindAll(["_updateEditLink","_updateData","_updateCompact"],this)};Mn.prototype.getDefaultPosition=function(){return"bottom-right"},Mn.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-attrib"),this._innerContainer=r.create("div","mapboxgl-ctrl-attrib-inner",this._container),e&&this._container.classList.add("mapboxgl-compact"),this._updateAttributions(),this._updateEditLink(),this._map.on("styledata",this._updateData),this._map.on("sourcedata",this._updateData),this._map.on("moveend",this._updateEditLink),void 0===e&&(this._map.on("resize",this._updateCompact),this._updateCompact()),this._container},Mn.prototype.onRemove=function(){r.remove(this._container),this._map.off("styledata",this._updateData),this._map.off("sourcedata",this._updateData),this._map.off("moveend",this._updateEditLink),this._map.off("resize",this._updateCompact),this._map=void 0},Mn.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(".mapbox-improve-map"));var r=[{key:"owner",value:this.styleOwner},{key:"id",value:this.styleId},{key:"access_token",value:t.config.ACCESS_TOKEN}];if(e){var n=r.reduce(function(t,e,n){return e.value&&(t+=e.key+"="+e.value+(n<r.length-1?"&":"")),t},"?");e.href=t.config.FEEDBACK_URL+"/"+n+(this._map._hash?this._map._hash.getHashString(!0):""),e.rel="noopener nofollow"}},Mn.prototype._updateData=function(t){!t||"metadata"!==t.sourceDataType&&"style"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},Mn.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map(function(t){return"string"!=typeof t?"":t})):"string"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort(function(t,e){return t.length-e.length});var o=(t=t.filter(function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0})).join(" | ");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove("mapboxgl-attrib-empty")):this._container.classList.add("mapboxgl-attrib-empty"),this._editLink=null)}},Mn.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add("mapboxgl-compact"):this._container.classList.remove("mapboxgl-compact")};var Sn=function(){t.bindAll(["_updateLogo"],this),t.bindAll(["_updateCompact"],this)};Sn.prototype.onAdd=function(t){this._map=t,this._container=r.create("div","mapboxgl-ctrl");var e=r.create("a","mapboxgl-ctrl-logo");return e.target="_blank",e.rel="noopener nofollow",e.href="https://www.mapbox.com/",e.setAttribute("aria-label","Mapbox logo"),e.setAttribute("rel","noopener nofollow"),this._container.appendChild(e),this._container.style.display="none",this._map.on("sourcedata",this._updateLogo),this._updateLogo(),this._map.on("resize",this._updateCompact),this._updateCompact(),this._container},Sn.prototype.onRemove=function(){r.remove(this._container),this._map.off("sourcedata",this._updateLogo),this._map.off("resize",this._updateCompact)},Sn.prototype.getDefaultPosition=function(){return"bottom-left"},Sn.prototype._updateLogo=function(t){t&&"metadata"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?"block":"none")},Sn.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t)if(t[e].getSource().mapbox_logo)return!0;return!1}},Sn.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add("mapboxgl-compact"):e.classList.remove("mapboxgl-compact")}};var En=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};En.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},En.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},En.prototype.run=function(){var t=this._currentlyRunning=this._queue;this._queue=[];for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!n.cancelled&&(n.callback(),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},En.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Cn=t.window.HTMLImageElement,Ln=t.window.HTMLElement,Pn={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:0,maxZoom:22,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,bearingSnap:7,clickTolerance:3,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:"sans-serif",transformRequest:null,fadeDuration:300,crossSourceCollisions:!0},On=function(n){function i(e){var i=this;if(null!=(e=t.extend({},Pn,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error("maxZoom must be greater than minZoom");var a=new sn(e.minZoom,e.maxZoom,e.renderWorldCopies);if(n.call(this,a,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new En,this._controls=[],this._mapId=t.uniqueId(),this._requestManager=new t.RequestManager(e.transformRequest),"string"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error("Container '"+e.container+"' not found.")}else{if(!(e.container instanceof Ln))throw new Error("Invalid type: 'container' must be a String or HTMLElement.");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll(["_onWindowOnline","_onWindowResize","_contextLost","_contextRestored"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error("Failed to initialize WebGL.");this.on("move",function(){return i._update(!1)}),this.on("moveend",function(){return i._update(!1)}),this.on("zoom",function(){return i._update(!0)}),void 0!==t.window&&(t.window.addEventListener("online",this._onWindowOnline,!1),t.window.addEventListener("resize",this._onWindowResize,!1)),function(t,e){var n=t.getCanvasContainer(),i=null,a=!1,o=null;for(var s in Tn)t[s]=new Tn[s](t,e),e.interactive&&e[s]&&t[s].enable(e[s]);r.addEventListener(n,"mouseout",function(e){t.fire(new un("mouseout",t,e))}),r.addEventListener(n,"mousedown",function(i){a=!0,o=r.mousePos(n,i);var s=new un("mousedown",t,i);t.fire(s),s.defaultPrevented||(e.interactive&&!t.doubleClickZoom.isActive()&&t.stop(),t.boxZoom.onMouseDown(i),t.boxZoom.isActive()||t.dragPan.isActive()||t.dragRotate.onMouseDown(i),t.boxZoom.isActive()||t.dragRotate.isActive()||t.dragPan.onMouseDown(i))}),r.addEventListener(n,"mouseup",function(e){var r=t.dragRotate.isActive();i&&!r&&t.fire(new un("contextmenu",t,i)),i=null,a=!1,t.fire(new un("mouseup",t,e))}),r.addEventListener(n,"mousemove",function(e){if(!t.dragPan.isActive()&&!t.dragRotate.isActive()){for(var r=e.target;r&&r!==n;)r=r.parentNode;r===n&&t.fire(new un("mousemove",t,e))}}),r.addEventListener(n,"mouseover",function(e){for(var r=e.target;r&&r!==n;)r=r.parentNode;r===n&&t.fire(new un("mouseover",t,e))}),r.addEventListener(n,"touchstart",function(r){var n=new hn("touchstart",t,r);t.fire(n),n.defaultPrevented||(e.interactive&&t.stop(),t.boxZoom.isActive()||t.dragRotate.isActive()||t.dragPan.onTouchStart(r),t.touchZoomRotate.onStart(r),t.doubleClickZoom.onTouchStart(n))},{passive:!1}),r.addEventListener(n,"touchmove",function(e){t.fire(new hn("touchmove",t,e))},{passive:!1}),r.addEventListener(n,"touchend",function(e){t.fire(new hn("touchend",t,e))}),r.addEventListener(n,"touchcancel",function(e){t.fire(new hn("touchcancel",t,e))}),r.addEventListener(n,"click",function(i){var a=r.mousePos(n,i);(a.equals(o)||a.dist(o)<e.clickTolerance)&&t.fire(new un("click",t,i))}),r.addEventListener(n,"dblclick",function(e){var r=new un("dblclick",t,e);t.fire(r),r.defaultPrevented||t.doubleClickZoom.onDblClick(r)}),r.addEventListener(n,"contextmenu",function(e){var r=t.dragRotate.isActive();a||r?a&&(i=e):t.fire(new un("contextmenu",t,e)),(t.dragRotate.isEnabled()||t.listens("contextmenu"))&&e.preventDefault()}),r.addEventListener(n,"wheel",function(r){e.interactive&&t.stop();var n=new fn("wheel",t,r);t.fire(n),n.defaultPrevented||t.scrollZoom.onWheel(r)},{passive:!1})}(this,e),this._hash=e.hash&&(new cn).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new Mn({customAttribution:e.customAttribution})),this.addControl(new Sn,e.logoPosition),this.on("style.load",function(){i.transform.unmodified&&i.jumpTo(i.style.stylesheet)}),this.on("data",function(e){i._update("style"===e.dataType),i.fire(new t.Event(e.dataType+"data",e))}),this.on("dataloading",function(e){i.fire(new t.Event(e.dataType+"dataloading",e))})}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r="top-right"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf("bottom")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];return this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i),this.fire(new t.Event("movestart",e)).fire(new t.Event("move",e)).fire(new t.Event("resize",e)).fire(new t.Event("moveend",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==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")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error("maxZoom must be greater than the current minZoom")},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.dragPan.isActive()||this.dragRotate.isActive()||this.scrollZoom.isActive()},i.prototype.isZooming=function(){return this._zooming||this.scrollZoom.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.dragRotate.isActive()},i.prototype.on=function(t,e,r){var i=this;if(void 0===r)return n.prototype.on.call(this,t,e);var a=function(){var n;if("mouseenter"===t||"mouseover"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new un(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if("mouseleave"===t||"mouseout"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new un(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new un(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}}();for(var o in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(a),a.delegates)this.on(o,a.delegates[o]);return this},i.prototype.off=function(t,e,r){if(void 0===r)return n.prototype.off.call(this,t,e);if(this._delegatedListeners&&this._delegatedListeners[t])for(var i=this._delegatedListeners[t],a=0;a<i.length;a++){var o=i[a];if(o.layer===e&&o.listener===r){for(var s in o.delegates)this.off(s,o.delegates[s]);return i.splice(a,1),this}}return this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||"number"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:Pn.localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new De(this,e||{}),this.style.setEventedParent(this,{style:this.style}),"string"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._diffStyle=function(e,r){var n=this;if("string"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)})}else"object"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce("Unable to perform style diff: "+(n.message||n.error||n)+". Rebuilding the style from scratch."),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce("There is no style added to the map.")},i.prototype.addSource=function(t,e){return this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error("There is no source with ID '"+e+"'")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if("loaded"!==i.state&&"errored"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;if(void 0===a&&(a=!1),r instanceof Cn){var o=t.browser.getImageData(r),s=o.width,l=o.height,c=o.data;this.style.addImage(e,{data:new t.RGBAImage({width:s,height:l},c),pixelRatio:i,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error("Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`")));var u=r.width,h=r.height,f=r.data,p=r;this.style.addImage(e,{data:new t.RGBAImage({width:u,height:h},new Uint8Array(f)),pixelRatio:i,sdf:a,version:0,userImage:p}),p.onAdd&&p.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error("The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.")));var i=r instanceof Cn?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.ErrorEvent(new Error("Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`")));if(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error("The width and height of the updated image must be that same as the previous version of the image")));var l=!(r instanceof Cn);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error("Missing required image id"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){"rgb(250, 128, 114)"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue("background-color")&&t.warnOnce("This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add("mapboxgl-map"),(this._missingCSSCanary=r.create("div","mapboxgl-canary",t)).style.visibility="hidden",this._detectMissingCSS();var e=this._canvasContainer=r.create("div","mapboxgl-canvas-container",t);this._interactive&&e.classList.add("mapboxgl-interactive"),this._canvas=r.create("canvas","mapboxgl-canvas",e),this._canvas.style.position="absolute",this._canvas.addEventListener("webglcontextlost",this._contextLost,!1),this._canvas.addEventListener("webglcontextrestored",this._contextRestored,!1),this._canvas.setAttribute("tabindex","0"),this._canvas.setAttribute("aria-label","Map");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create("div","mapboxgl-control-container",t),a=this._controlPositions={};["top-left","top-right","bottom-left","bottom-right"].forEach(function(t){a[t]=r.create("div","mapboxgl-ctrl-"+t,i)})},i.prototype._resizeCanvas=function(e,r){var n=t.window.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+"px",this._canvas.style.height=r+"px"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext("webgl",r)||this._canvas.getContext("experimental-webgl",r);n?(this.painter=new rn(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error("Failed to initialize WebGL")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event("webglcontextlost",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event("webglcontextrestored",{originalEvent:e}))},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(){this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run();var e=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var r=this.transform.zoom,n=t.browser.now();this.style.zoomHistory.update(r,n);var i=new t.EvaluationParameters(r,{now:n,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),a=i.crossFadingFactor();1===a&&a===this._crossFadingFactor||(e=!0,this._crossFadingFactor=a),this.style.update(i)}return this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration}),this.fire(new t.Event("render")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event("load"))),this.style&&(this.style.hasTransitions()||e)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this._sourcesDirty||this._repaint||this._styleDirty||this._placementDirty?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new t.Event("idle")),this},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1)r[e].onRemove(this);this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener("resize",this._onWindowResize,!1),t.window.removeEventListener("online",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension("WEBGL_lose_context");n&&n.loseContext(),zn(this._canvasContainer),zn(this._controlContainer),zn(this._missingCSSCanary),this._container.classList.remove("mapboxgl-map"),this.fire(new t.Event("remove"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame(function(){e._frame=null,e._render()}))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(){this._trackResize&&this.resize()._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},Object.defineProperties(i.prototype,a),i}(An);function zn(t){t.parentNode&&t.parentNode.removeChild(t)}var In={showCompass:!0,showZoom:!0},Dn=function(e){var n=this;this.options=t.extend({},In,e),this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),this._container.addEventListener("contextmenu",function(t){return t.preventDefault()}),this.options.showZoom&&(t.bindAll(["_updateZoomButtons"],this),this._zoomInButton=this._createButton("mapboxgl-ctrl-icon mapboxgl-ctrl-zoom-in","Zoom in",function(){return n._map.zoomIn()}),this._zoomOutButton=this._createButton("mapboxgl-ctrl-icon mapboxgl-ctrl-zoom-out","Zoom out",function(){return n._map.zoomOut()})),this.options.showCompass&&(t.bindAll(["_rotateCompassArrow"],this),this._compass=this._createButton("mapboxgl-ctrl-icon mapboxgl-ctrl-compass","Reset bearing to north",function(){return n._map.resetNorth()}),this._compassArrow=r.create("span","mapboxgl-ctrl-compass-arrow",this._compass))};function Rn(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Dn.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.classList.toggle("mapboxgl-ctrl-icon-disabled",t===this._map.getMaxZoom()),this._zoomOutButton.classList.toggle("mapboxgl-ctrl-icon-disabled",t===this._map.getMinZoom())},Dn.prototype._rotateCompassArrow=function(){var t="rotate("+this._map.transform.angle*(180/Math.PI)+"deg)";this._compassArrow.style.transform=t},Dn.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._map.on("zoom",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._map.on("rotate",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new vn(t,{button:"left",element:this._compass}),r.addEventListener(this._compass,"mousedown",this._handler.onMouseDown),this._handler.enable()),this._container},Dn.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off("zoom",this._updateZoomButtons),this.options.showCompass&&(this._map.off("rotate",this._rotateCompassArrow),r.removeEventListener(this._compass,"mousedown",this._handler.onMouseDown),this._handler.disable(),delete this._handler),delete this._map},Dn.prototype._createButton=function(t,e,n){var i=r.create("button",t,this._container);return i.type="button",i.title=e,i.setAttribute("aria-label",e),i.addEventListener("click",n),i};var Fn={center:"translate(-50%,-50%)",top:"translate(-50%,0)","top-left":"translate(0,0)","top-right":"translate(-100%,0)",bottom:"translate(-50%,-100%)","bottom-left":"translate(0,-100%)","bottom-right":"translate(-100%,-100%)",left:"translate(0,-50%)",right:"translate(-100%,-50%)"};function Bn(t,e,r){var n=t.classList;for(var i in Fn)n.remove("mapboxgl-"+r+"-anchor-"+i);n.add("mapboxgl-"+r+"-anchor-"+e)}var Nn,jn=function(e){function n(n,i){if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll(["_update","_onMove","_onUp","_addDragHandler","_onMapClick"],this),this._anchor=n&&n.anchor||"center",this._color=n&&n.color||"#3FB1CE",this._draggable=n&&n.draggable||!1,this._state="inactive",n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create("div");var a=r.createNS("http://www.w3.org/2000/svg","svg");a.setAttributeNS(null,"display","block"),a.setAttributeNS(null,"height","41px"),a.setAttributeNS(null,"width","27px"),a.setAttributeNS(null,"viewBox","0 0 27 41");var o=r.createNS("http://www.w3.org/2000/svg","g");o.setAttributeNS(null,"stroke","none"),o.setAttributeNS(null,"stroke-width","1"),o.setAttributeNS(null,"fill","none"),o.setAttributeNS(null,"fill-rule","evenodd");var s=r.createNS("http://www.w3.org/2000/svg","g");s.setAttributeNS(null,"fill-rule","nonzero");var l=r.createNS("http://www.w3.org/2000/svg","g");l.setAttributeNS(null,"transform","translate(3.0, 29.0)"),l.setAttributeNS(null,"fill","#000000");for(var c=0,u=[{rx:"10.5",ry:"5.25002273"},{rx:"10.5",ry:"5.25002273"},{rx:"9.5",ry:"4.77275007"},{rx:"8.5",ry:"4.29549936"},{rx:"7.5",ry:"3.81822308"},{rx:"6.5",ry:"3.34094679"},{rx:"5.5",ry:"2.86367051"},{rx:"4.5",ry:"2.38636864"}];c<u.length;c+=1){var h=u[c],f=r.createNS("http://www.w3.org/2000/svg","ellipse");f.setAttributeNS(null,"opacity","0.04"),f.setAttributeNS(null,"cx","10.5"),f.setAttributeNS(null,"cy","5.80029008"),f.setAttributeNS(null,"rx",h.rx),f.setAttributeNS(null,"ry",h.ry),l.appendChild(f)}var p=r.createNS("http://www.w3.org/2000/svg","g");p.setAttributeNS(null,"fill",this._color);var d=r.createNS("http://www.w3.org/2000/svg","path");d.setAttributeNS(null,"d","M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z"),p.appendChild(d);var g=r.createNS("http://www.w3.org/2000/svg","g");g.setAttributeNS(null,"opacity","0.25"),g.setAttributeNS(null,"fill","#000000");var v=r.createNS("http://www.w3.org/2000/svg","path");v.setAttributeNS(null,"d","M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z"),g.appendChild(v);var m=r.createNS("http://www.w3.org/2000/svg","g");m.setAttributeNS(null,"transform","translate(6.0, 7.0)"),m.setAttributeNS(null,"fill","#FFFFFF");var y=r.createNS("http://www.w3.org/2000/svg","g");y.setAttributeNS(null,"transform","translate(8.0, 8.0)");var x=r.createNS("http://www.w3.org/2000/svg","circle");x.setAttributeNS(null,"fill","#000000"),x.setAttributeNS(null,"opacity","0.25"),x.setAttributeNS(null,"cx","5.5"),x.setAttributeNS(null,"cy","5.5"),x.setAttributeNS(null,"r","5.4999962");var b=r.createNS("http://www.w3.org/2000/svg","circle");b.setAttributeNS(null,"fill","#FFFFFF"),b.setAttributeNS(null,"cx","5.5"),b.setAttributeNS(null,"cy","5.5"),b.setAttributeNS(null,"r","5.4999962"),y.appendChild(x),y.appendChild(b),s.appendChild(l),s.appendChild(p),s.appendChild(g),s.appendChild(m),s.appendChild(y),a.appendChild(s),this._element.appendChild(a),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add("mapboxgl-marker"),this._element.addEventListener("dragstart",function(t){t.preventDefault()}),Bn(this._element,this._anchor,"marker"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on("move",this._update),t.on("moveend",this._update),this.setDraggable(this._draggable),this._update(),this._map.on("click",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off("click",this._onMapClick),this._map.off("move",this._update),this._map.off("moveend",this._update),this._map.off("mousedown",this._addDragHandler),this._map.off("touchstart",this._addDragHandler),this._map.off("mouseup",this._onUp),this._map.off("touchend",this._onUp),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null),t){if(!("offset"in t.options)){var e=Math.sqrt(Math.pow(13.5,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],"top-left":[0,0],"top-right":[0,0],bottom:[0,-38.1],"bottom-left":[e,-1*(24.6+e)],"bottom-right":[-e,-1*(24.6+e)],left:[13.5,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat)}return this},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){this._map&&(this._map.transform.renderWorldCopies&&(this._lngLat=Rn(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset),t&&"moveend"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,Fn[this._anchor]+" translate("+this._pos.x+"px, "+this._pos.y+"px)"))},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents="none","pending"===this._state&&(this._state="active",this.fire(new t.Event("dragstart"))),this.fire(new t.Event("drag"))},n.prototype._onUp=function(){this._element.style.pointerEvents="auto",this._positionDelta=null,this._map.off("mousemove",this._onMove),this._map.off("touchmove",this._onMove),"active"===this._state&&this.fire(new t.Event("dragend")),this._state="inactive"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state="pending",this._map.on("mousemove",this._onMove),this._map.on("touchmove",this._onMove),this._map.once("mouseup",this._onUp),this._map.once("touchend",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on("mousedown",this._addDragHandler),this._map.on("touchstart",this._addDragHandler)):(this._map.off("mousedown",this._addDragHandler),this._map.off("touchstart",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n}(t.Evented),Un={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showUserLocation:!0},Vn=function(e){function n(r){e.call(this),this.options=t.extend({},Un,r),t.bindAll(["_onSuccess","_onError","_finish","_setupUI","_updateCamera","_updateMarker"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){var n;return this._map=e,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),n=this._setupUI,void 0!==Nn?n(Nn):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:"geolocation"}).then(function(t){Nn="denied"!==t.state,n(Nn)}):(Nn=!!t.window.navigator.geolocation,n(Nn)),this._container},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),r.remove(this._container),this._map=void 0},n.prototype._onSuccess=function(e){if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"BACKGROUND":case"BACKGROUND_ERROR":this._watchState="BACKGROUND",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background")}this.options.showUserLocation&&"OFF"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&"ACTIVE_LOCK"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("geolocate",e)),this._finish()},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(t){t?this._userLocationDotMarker.setLngLat([t.coords.longitude,t.coords.latitude]).addTo(this._map):this._userLocationDotMarker.remove()},n.prototype._onError=function(e){if(this.options.trackUserLocation)if(1===e.code)this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),void 0!==this._geolocationWatchID&&this._clearWatch();else switch(this._watchState){case"WAITING_ACTIVE":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"ACTIVE_LOCK":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting");break;case"BACKGROUND":this._watchState="BACKGROUND_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting")}"OFF"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("error",e)),this._finish()},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;!1!==e?(this._container.addEventListener("contextmenu",function(t){return t.preventDefault()}),this._geolocateButton=r.create("button","mapboxgl-ctrl-icon mapboxgl-ctrl-geolocate",this._container),this._geolocateButton.type="button",this._geolocateButton.setAttribute("aria-label","Geolocate"),this.options.trackUserLocation&&(this._geolocateButton.setAttribute("aria-pressed","false"),this._watchState="OFF"),this.options.showUserLocation&&(this._dotElement=r.create("div","mapboxgl-user-location-dot"),this._userLocationDotMarker=new jn(this._dotElement),this.options.trackUserLocation&&(this._watchState="OFF")),this._geolocateButton.addEventListener("click",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on("movestart",function(e){e.geolocateSource||"ACTIVE_LOCK"!==n._watchState||(n._watchState="BACKGROUND",n._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background"),n._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),n.fire(new t.Event("trackuserlocationend")))})):t.warnOnce("Geolocation support is not available, the GeolocateControl will not be visible.")},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce("Geolocate control triggered before added to a map"),!1;if(this.options.trackUserLocation){switch(this._watchState){case"OFF":this._watchState="WAITING_ACTIVE",this.fire(new t.Event("trackuserlocationstart"));break;case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":case"BACKGROUND_ERROR":this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this.fire(new t.Event("trackuserlocationend"));break;case"BACKGROUND":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event("trackuserlocationstart"))}switch(this._watchState){case"WAITING_ACTIVE":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_LOCK":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"BACKGROUND":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background");break;case"BACKGROUND_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error")}"OFF"===this._watchState&&void 0!==this._geolocationWatchID?this._clearWatch():void 0===this._geolocationWatchID&&(this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","true"),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,this.options.positionOptions))}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","false"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),qn={maxWidth:100,unit:"metric"},Hn=function(e){this.options=t.extend({},qn,e),t.bindAll(["_onMove","setUnit"],this)};function Gn(t,e,r){var n,i,a,o,s,l,c=r&&r.maxWidth||100,u=t._container.clientHeight/2,h=(n=t.unproject([0,u]),i=t.unproject([c,u]),a=Math.PI/180,o=n.lat*a,s=i.lat*a,l=Math.sin(o)*Math.sin(s)+Math.cos(o)*Math.cos(s)*Math.cos((i.lng-n.lng)*a),6371e3*Math.acos(Math.min(l,1)));if(r&&"imperial"===r.unit){var f=3.2808*h;f>5280?Yn(e,c,f/5280,"mi"):Yn(e,c,f,"ft")}else r&&"nautical"===r.unit?Yn(e,c,h/1852,"nm"):Yn(e,c,h,"m")}function Yn(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(""+Math.floor(i)).length-1))*(o=(o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;"m"===n&&s>=1e3&&(s/=1e3,n="km"),t.style.width=e*l+"px",t.innerHTML=s+n}Hn.prototype.getDefaultPosition=function(){return"bottom-left"},Hn.prototype._onMove=function(){Gn(this._map,this._container,this.options)},Hn.prototype.onAdd=function(t){return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-scale",t.getContainer()),this._map.on("move",this._onMove),this._onMove(),this._container},Hn.prototype.onRemove=function(){r.remove(this._container),this._map.off("move",this._onMove),this._map=void 0},Hn.prototype.setUnit=function(t){this.options.unit=t,Gn(this._map,this._container,this.options)};var Wn=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce("Full screen control 'container' must be a DOM element.")),t.bindAll(["_onClickFullscreen","_changeIcon"],this),"onfullscreenchange"in t.window.document?this._fullscreenchange="fullscreenchange":"onmozfullscreenchange"in t.window.document?this._fullscreenchange="mozfullscreenchange":"onwebkitfullscreenchange"in t.window.document?this._fullscreenchange="webkitfullscreenchange":"onmsfullscreenchange"in t.window.document&&(this._fullscreenchange="MSFullscreenChange"),this._className="mapboxgl-ctrl"};Wn.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create("div",this._className+" mapboxgl-ctrl-group"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display="none",t.warnOnce("This device does not support fullscreen mode.")),this._controlContainer},Wn.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Wn.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Wn.prototype._setupUI=function(){(this._fullscreenButton=r.create("button",this._className+"-icon "+this._className+"-fullscreen",this._controlContainer)).type="button",this._updateTitle(),this._fullscreenButton.addEventListener("click",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Wn.prototype._updateTitle=function(){var t=this._isFullscreen()?"Exit fullscreen":"Enter fullscreen";this._fullscreenButton.setAttribute("aria-label",t),this._fullscreenButton.title=t},Wn.prototype._isFullscreen=function(){return this._fullscreen},Wn.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(this._className+"-shrink"),this._fullscreenButton.classList.toggle(this._className+"-fullscreen"),this._updateTitle())},Wn.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var Xn={closeButton:!0,closeOnClick:!0,className:"",maxWidth:"240px"},Zn=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Xn),r),t.bindAll(["_update","_onClickClose","remove"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){var r=this;return this._map=e,this.options.closeOnClick&&this._map.on("click",this._onClickClose),this._map.on("remove",this.remove),this._update(),this._trackPointer?(this._map.on("mousemove",function(t){r._update(t.point)}),this._map.on("mouseup",function(t){r._update(t.point)}),this._container.classList.add("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.add("mapboxgl-track-pointer")):this._map.on("move",this._update),this.fire(new t.Event("open")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off("move",this._update),this._map.off("click",this._onClickClose),this._map.off("remove",this.remove),this._map.off("mousemove"),delete this._map),this.fire(new t.Event("close")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._map&&(this._map.on("move",this._update),this._map.off("mousemove"),this._container.classList.remove("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.remove("mapboxgl-track-pointer")),this._trackPointer=!1,this._update(),this},n.prototype.trackPointer=function(){var t=this;return this._trackPointer=!0,this._pos=null,this._map&&(this._map.off("move",this._update),this._map.on("mousemove",function(e){t._update(e.point)}),this._map.on("drag",function(e){t._update(e.point)}),this._container.classList.add("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.add("mapboxgl-track-pointer")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement("body");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create("div","mapboxgl-popup-content",this._container),this.options.closeButton&&(this._closeButton=r.create("button","mapboxgl-popup-close-button",this._content),this._closeButton.type="button",this._closeButton.setAttribute("aria-label","Close popup"),this._closeButton.innerHTML="&#215;",this._closeButton.addEventListener("click",this._onClickClose))},n.prototype._update=function(e){var n=this,i=this._lngLat||this._trackPointer;if(this._map&&i&&this._content&&(this._container||(this._container=r.create("div","mapboxgl-popup",this._map.getContainer()),this._tip=r.create("div","mapboxgl-popup-tip",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(" ").forEach(function(t){return n._container.classList.add(t)})),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Rn(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||e)){var a=this._pos=this._trackPointer&&e?e:this._map.project(this._lngLat),o=this.options.anchor,s=function e(r){if(r){if("number"==typeof r){var n=Math.round(Math.sqrt(.5*Math.pow(r,2)));return{center:new t.Point(0,0),top:new t.Point(0,r),"top-left":new t.Point(n,n),"top-right":new t.Point(-n,n),bottom:new t.Point(0,-r),"bottom-left":new t.Point(n,-n),"bottom-right":new t.Point(-n,-n),left:new t.Point(r,0),right:new t.Point(-r,0)}}if(r instanceof t.Point||Array.isArray(r)){var i=t.Point.convert(r);return{center:i,top:i,"top-left":i,"top-right":i,bottom:i,"bottom-left":i,"bottom-right":i,left:i,right:i}}return{center:t.Point.convert(r.center||[0,0]),top:t.Point.convert(r.top||[0,0]),"top-left":t.Point.convert(r["top-left"]||[0,0]),"top-right":t.Point.convert(r["top-right"]||[0,0]),bottom:t.Point.convert(r.bottom||[0,0]),"bottom-left":t.Point.convert(r["bottom-left"]||[0,0]),"bottom-right":t.Point.convert(r["bottom-right"]||[0,0]),left:t.Point.convert(r.left||[0,0]),right:t.Point.convert(r.right||[0,0])}}return e(new t.Point(0,0))}(this.options.offset);if(!o){var l,c=this._container.offsetWidth,u=this._container.offsetHeight;l=a.y+s.bottom.y<u?["top"]:a.y>this._map.transform.height-u?["bottom"]:[],a.x<c/2?l.push("left"):a.x>this._map.transform.width-c/2&&l.push("right"),o=0===l.length?"bottom":l.join("-")}var h=a.add(s[o]).round();r.setTransform(this._container,Fn[o]+" translate("+h.x+"px,"+h.y+"px)"),Bn(this._container,o,"popup")}},n.prototype._onClickClose=function(){this.remove()},n}(t.Evented),Jn={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,Map:On,NavigationControl:Dn,GeolocateControl:Vn,AttributionControl:Mn,ScaleControl:Hn,FullscreenControl:Wn,Popup:Zn,Marker:jn,Style:De,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return zt.workerCount},set workerCount(t){zt.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:""};return Jn}),r},"object"==typeof r&&"undefined"!=typeof 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fragColor;\n\t\t\tgl_FragColor.a *= opacity;\n\t\t}\n\t\t",uniforms:{range:t.prop("range"),lineWidth:t.prop("lineWidth"),capSize:t.prop("capSize"),opacity:t.prop("opacity"),scale:t.prop("scale"),translate:t.prop("translate"),scaleFract:t.prop("scaleFract"),translateFract:t.prop("translateFract"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]}},attributes:{color:{buffer:d,offset:function(t,e){return 4*e.offset},divisor:1},position:{buffer:c,offset:function(t,e){return 8*e.offset},divisor:1},positionFract:{buffer:p,offset:function(t,e){return 8*e.offset},divisor:1},error:{buffer:g,offset:function(t,e){return 16*e.offset},divisor:1},direction:{buffer:v,stride:24,offset:0},lineOffset:{buffer:v,stride:24,offset:8},capOffset:{buffer:v,stride:24,offset:16}},primitive:"triangles",blend:{enable:!0,color:[0,0,0,0],equation:{rgb:"add",alpha:"add"},func:{srcRGB:"src alpha",dstRGB:"one minus src alpha",srcAlpha:"one minus dst 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v(t,e){if(!(this instanceof v))return new v(t,e);if("function"==typeof t?(e||(e={}),e.regl=t):e=t,e.length&&(e.positions=e),!(t=e.regl).hasExtension("ANGLE_instanced_arrays"))throw Error("regl-error2d: `ANGLE_instanced_arrays` extension should be enabled");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=v.shaders.has(t)?v.shaders.get(t):v.shaders.set(t,v.createShaders(t)).get(t),this.update(e)}e.exports=v,v.dashMult=2,v.maxPatternLength=256,v.precisionThreshold=3e6,v.maxPoints=1e4,v.maxLines=2048,v.shaders=new d,v.createShaders=function(t){var e,r=t.buffer({usage:"static",type:"float",data:[0,1,0,0,1,1,1,0]}),n={primitive:"triangle 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color;\nattribute float lineEnd, lineTop;\n\nuniform vec2 scale, scaleFract, translate, translateFract;\nuniform float thickness, pixelRatio, id, depth;\nuniform vec4 viewport;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\n\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\n\t// the order is important\n\treturn position * scale + translate\n + positionFract * scale + translateFract\n + position * scaleFract\n + positionFract * scaleFract;\n}\n\nvoid main() {\n\tfloat lineStart = 1. - lineEnd;\n\tfloat lineOffset = lineTop * 2. - 1.;\n\n\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\n\ttangent = normalize(diff * scale * viewport.zw);\n\tvec2 normal = vec2(-tangent.y, tangent.x);\n\n\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\n\t\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\n\n\t\t+ thickness * normal * .5 * lineOffset / viewport.zw;\n\n\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\n\n\tfragColor = color / 255.;\n}\n"]),frag:o(["precision highp float;\n#define GLSLIFY 1\n\nuniform sampler2D dashPattern;\n\nuniform float dashSize, pixelRatio, thickness, opacity, id;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\n\nvoid main() {\n\tfloat alpha = 1.;\n\n\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashSize) * .5 + .25;\n\tfloat dash = texture2D(dashPattern, vec2(t, .5)).r;\n\n\tgl_FragColor = fragColor;\n\tgl_FragColor.a *= alpha * opacity * dash;\n}\n"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop("positionFractBuffer"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop("positionFractBuffer"),stride:8,offset:16,divisor:1},color:{buffer:t.prop("colorBuffer"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:"back"},vert:o(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\nattribute vec4 aColor, bColor;\nattribute float lineEnd, lineTop;\n\nuniform vec2 scale, translate;\nuniform float thickness, pixelRatio, id, depth;\nuniform vec4 viewport;\nuniform float miterLimit, miterMode;\n\nvarying vec4 fragColor;\nvarying vec4 startCutoff, endCutoff;\nvarying vec2 tangent;\nvarying vec2 startCoord, endCoord;\nvarying float enableStartMiter, enableEndMiter;\n\nconst float REVERSE_THRESHOLD = -.875;\nconst float MIN_DIFF = 1e-6;\n\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\n// TODO: precalculate dot products, normalize things beforehead etc.\n// TODO: refactor to rectangular algorithm\n\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\n\tvec2 diff = b - a;\n\tvec2 perp = normalize(vec2(-diff.y, diff.x));\n\treturn dot(p - a, perp);\n}\n\nbool isNaN( float val ){\n return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\n}\n\nvoid main() {\n\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\n\n vec2 adjustedScale;\n adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\n adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\n\n vec2 scaleRatio = adjustedScale * viewport.zw;\n\tvec2 normalWidth = thickness / scaleRatio;\n\n\tfloat lineStart = 1. - lineEnd;\n\tfloat lineBot = 1. - lineTop;\n\n\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\n\n\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\n\n\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\n\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\n\n\tvec2 prevDiff = aCoord - prevCoord;\n\tvec2 currDiff = bCoord - aCoord;\n\tvec2 nextDiff = nextCoord - bCoord;\n\n\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\n\tvec2 currTangent = normalize(currDiff * scaleRatio);\n\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\n\n\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\n\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\n\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\n\n\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\n\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\n\n\t// collapsed/unidirectional segment cases\n\t// FIXME: there should be more elegant solution\n\tvec2 prevTanDiff = abs(prevTangent - currTangent);\n\tvec2 nextTanDiff = abs(nextTangent - currTangent);\n\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\n\t\tstartJoinDirection = currNormal;\n\t}\n\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\n\t\tendJoinDirection = currNormal;\n\t}\n\tif (aCoord == bCoord) {\n\t\tendJoinDirection = startJoinDirection;\n\t\tcurrNormal = prevNormal;\n\t\tcurrTangent = prevTangent;\n\t}\n\n\ttangent = currTangent;\n\n\t//calculate join shifts relative to normals\n\tfloat startJoinShift = dot(currNormal, startJoinDirection);\n\tfloat endJoinShift = dot(currNormal, endJoinDirection);\n\n\tfloat startMiterRatio = abs(1. / startJoinShift);\n\tfloat endMiterRatio = abs(1. / endJoinShift);\n\n\tvec2 startJoin = startJoinDirection * startMiterRatio;\n\tvec2 endJoin = endJoinDirection * endMiterRatio;\n\n\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\n\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\n\tstartBotJoin = -startTopJoin;\n\n\tendTopJoin = sign(endJoinShift) * endJoin * .5;\n\tendBotJoin = -endTopJoin;\n\n\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\n\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\n\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\n\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\n\n\t//miter anti-clipping\n\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\n\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\n\n\t//prevent close to reverse direction switch\n\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) < length(normalWidth * currNormal);\n\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) < length(normalWidth * currNormal);\n\n\tif (prevReverse) {\n\t\t//make join rectangular\n\t\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\n\t\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\n\t\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\n\t\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\n\t}\n\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\n\t\t//handle miter clipping\n\t\tbTopCoord -= normalWidth * endTopJoin;\n\t\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\n\t}\n\n\tif (nextReverse) {\n\t\t//make join rectangular\n\t\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\n\t\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\n\t\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\n\t\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\n\t}\n\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\n\t\t//handle miter clipping\n\t\taBotCoord -= normalWidth * startBotJoin;\n\t\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\n\t}\n\n\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\n\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\n\n\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\n\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\n\n\t//position is normalized 0..1 coord on the screen\n\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\n\n\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\n\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\n\n\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\n\n\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\n\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\n\n\t//bevel miter cutoffs\n\tif (miterMode == 1.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\n\t\t\tstartCutoff = vec4(aCoord, aCoord);\n\t\t\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\n\t\t\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tstartCutoff += viewport.xyxy;\n\t\t\tstartCutoff += startMiterWidth.xyxy;\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\n\t\t\tendCutoff = vec4(bCoord, bCoord);\n\t\t\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x) / scaleRatio;\n\t\t\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tendCutoff += viewport.xyxy;\n\t\t\tendCutoff += endMiterWidth.xyxy;\n\t\t}\n\t}\n\n\t//round miter cutoffs\n\telse if (miterMode == 2.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\n\t\t\tstartCutoff = vec4(aCoord, aCoord);\n\t\t\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\n\t\t\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tstartCutoff += viewport.xyxy;\n\t\t\tstartCutoff += startMiterWidth.xyxy;\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\n\t\t\tendCutoff = vec4(bCoord, bCoord);\n\t\t\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x) / scaleRatio;\n\t\t\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tendCutoff += viewport.xyxy;\n\t\t\tendCutoff += endMiterWidth.xyxy;\n\t\t}\n\t}\n}\n"]),frag:o(["precision highp float;\n#define GLSLIFY 1\n\nuniform sampler2D dashPattern;\nuniform float dashSize, pixelRatio, thickness, opacity, id, miterMode;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\nvarying vec4 startCutoff, endCutoff;\nvarying vec2 startCoord, endCoord;\nvarying float enableStartMiter, enableEndMiter;\n\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\n\tvec2 diff = b - a;\n\tvec2 perp = normalize(vec2(-diff.y, diff.x));\n\treturn dot(p - a, perp);\n}\n\nvoid main() {\n\tfloat alpha = 1., distToStart, distToEnd;\n\tfloat cutoff = thickness * .5;\n\n\t//bevel miter\n\tif (miterMode == 1.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\n\t\t\tif (distToStart < -1.) {\n\t\t\t\tdiscard;\n\t\t\t\treturn;\n\t\t\t}\n\t\t\talpha *= min(max(distToStart + 1., 0.), 1.);\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\n\t\t\tif (distToEnd < -1.) {\n\t\t\t\tdiscard;\n\t\t\t\treturn;\n\t\t\t}\n\t\t\talpha *= min(max(distToEnd + 1., 0.), 1.);\n\t\t}\n\t}\n\n\t// round miter\n\telse if (miterMode == 2.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\n\t\t\tif (distToStart < 0.) {\n\t\t\t\tfloat radius = length(gl_FragCoord.xy - startCoord);\n\n\t\t\t\tif(radius > cutoff + .5) {\n\t\t\t\t\tdiscard;\n\t\t\t\t\treturn;\n\t\t\t\t}\n\n\t\t\t\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\n\t\t\t}\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\n\t\t\tif (distToEnd < 0.) {\n\t\t\t\tfloat radius = length(gl_FragCoord.xy - endCoord);\n\n\t\t\t\tif(radius > cutoff + .5) {\n\t\t\t\t\tdiscard;\n\t\t\t\t\treturn;\n\t\t\t\t}\n\n\t\t\t\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\n\t\t\t}\n\t\t}\n\t}\n\n\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashSize) * .5 + .25;\n\tfloat dash = texture2D(dashPattern, vec2(t, .5)).r;\n\n\tgl_FragColor = fragColor;\n\tgl_FragColor.a *= alpha * opacity * dash;\n}\n"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aColor:{buffer:t.prop("colorBuffer"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop("colorBuffer"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:24,divisor:1}}},n))}catch(t){e=i}return{fill:t({primitive:"triangle",elements:function(t,e){return e.triangles},offset:0,vert:o(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec2 position, positionFract;\n\nuniform vec4 color;\nuniform vec2 scale, scaleFract, translate, translateFract;\nuniform float pixelRatio, id;\nuniform vec4 viewport;\nuniform float opacity;\n\nvarying vec4 fragColor;\n\nconst float MAX_LINES = 256.;\n\nvoid main() {\n\tfloat depth = 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fragColor;\n}\n"]),uniforms:{scale:t.prop("scale"),color:t.prop("fill"),scaleFract:t.prop("scaleFract"),translateFract:t.prop("translateFract"),translate:t.prop("translate"),opacity:t.prop("opacity"),pixelRatio:t.context("pixelRatio"),id:t.prop("id"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]}},attributes:{position:{buffer:t.prop("positionBuffer"),stride:8,offset:8},positionFract:{buffer:t.prop("positionFractBuffer"),stride:8,offset:8}},blend:n.blend,depth:{enable:!1},scissor:n.scissor,stencil:n.stencil,viewport:n.viewport}),rect:i,miter:e}},v.defaults={dashes:null,join:"miter",miterLimit:1,thickness:10,cap:"square",color:"black",opacity:1,overlay:!1,viewport:null,range:null,close:!1,fill:null},v.prototype.render=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];e.length&&(t=this).update.apply(t,e),this.draw()},v.prototype.draw=function(){for(var t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach(function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);"number"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>v.precisionThreshold||e.scale[1]*e.viewport.height>v.precisionThreshold?t.shaders.rect(e):"rect"===e.join||!e.join&&(e.thickness<=2||e.count>=v.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))}),this},v.prototype.update=function(t){var e=this;if(t){null!=t.length?"number"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,o=this.gl;if(t.forEach(function(t,h){var d=e.passes[h];if(void 0!==t)if(null!==t){if("number"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:"positions points data coords",thickness:"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth",join:"lineJoin 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z=e[2],I=e[6],D=e[10],R=z*s+I*l+D*h,F=z*x+I*b+D*_,B=z*T+I*A+D*M;m=Math.asin(u(R)),y=Math.atan2(B,F)}this.angle.jump(t,y,m),this.recalcMatrix(t);var N=e[2],j=e[6],U=e[10],V=this.computedMatrix;i(V,e);var q=V[15],H=V[12]/q,G=V[13]/q,Y=V[14]/q,W=Math.exp(this.computedRadius[0]);this.center.jump(t,H-N*W,G-j*W,Y-U*W)},p.lastT=function(){return Math.max(this.center.lastT(),this.up.lastT(),this.right.lastT(),this.radius.lastT(),this.angle.lastT())},p.idle=function(t){this.center.idle(t),this.up.idle(t),this.right.idle(t),this.radius.idle(t),this.angle.idle(t)},p.flush=function(t){this.center.flush(t),this.up.flush(t),this.right.flush(t),this.radius.flush(t),this.angle.flush(t)},p.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},p.lookAt=function(t,e,r,n){this.recalcMatrix(t),e=e||this.computedEye,r=r||this.computedCenter;var i=(n=n||this.computedUp)[0],a=n[1],o=n[2],s=c(i,a,o);if(!(s<1e-6)){i/=s,a/=s,o/=s;var 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.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(".")).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,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate).toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o((t-=this.jdEpoch)+8+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s((t-=this.jdEpoch)+20,20),s(t+4,13)]},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return i.day()+20*i.month()+360*i.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)}}),n.calendars.mayan=a},{"../main":571,"object-assign":454}],565:[function(t,e,r){var n=t("../main"),i=t("object-assign");function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}a.prototype=new n.baseCalendar;var o=n.instance("gregorian");i(a.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,n.local.invalidYear||n.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,n.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 i=this._validate(t,e,r,n.local.invalidMonth);(t=i.year())<0&&t++;for(var a=i.day(),s=1;s<i.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 this.newDate(e,n,r)}}),n.calendars.nanakshahi=a},{"../main":571,"object-assign":454}],566:[function(t,e,r){var n=t("../main"),i=t("object-assign");function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}a.prototype=new n.baseCalendar,i(a.prototype,{name:"Nepali",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{"":{name:"Nepali",epochs:["BBS","ABS"],monthNames:["Baisakh","Jestha","Ashadh","Shrawan","Bhadra","Ashwin","Kartik","Mangsir","Paush","Mangh","Falgun","Chaitra"],monthNamesShort:["Bai","Je","As","Shra","Bha","Ash","Kar","Mang","Pau","Ma","Fal","Chai"],dayNames:["Aaitabaar","Sombaar","Manglbaar","Budhabaar","Bihibaar","Shukrabaar","Shanibaar"],dayNamesShort:["Aaita","Som","Mangl","Budha","Bihi","Shukra","Shani"],dayNamesMin:["Aai","So","Man","Bu","Bi","Shu","Sha"],digits:null,dateFormat:"dd/mm/yyyy",firstDay:1,isRTL:!1}},leapYear:function(t){return this.daysInYear(t)!==this.daysPerYear},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){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),"undefined"==typeof 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,n.local.invalidMonth),"undefined"==typeof 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 i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var c=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(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(c,1,1).add(o,"d").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var c=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)"undefined"==typeof this.NEPALI_CALENDAR_DATA[r]&&(this.NEPALI_CALENDAR_DATA[r]=e)},NEPALI_CALENDAR_DATA:{1970:[18,31,31,32,31,31,31,30,29,30,29,30,30],1971:[18,31,31,32,31,32,30,30,29,30,29,30,30],1972:[17,31,32,31,32,31,30,30,30,29,29,30,30],1973:[19,30,32,31,32,31,30,30,30,29,30,29,31],1974:[19,31,31,32,30,31,31,30,29,30,29,30,30],1975:[18,31,31,32,32,30,31,30,29,30,29,30,30],1976:[17,31,32,31,32,31,30,30,30,29,29,30,31],1977:[18,31,32,31,32,31,31,29,30,29,30,29,31],1978:[18,31,31,32,31,31,31,30,29,30,29,30,30],1979:[18,31,31,32,32,31,30,30,29,30,29,30,30],1980:[17,31,32,31,32,31,30,30,30,29,29,30,31],1981:[18,31,31,31,32,31,31,29,30,30,29,30,30],1982:[18,31,31,32,31,31,31,30,29,30,29,30,30],1983:[18,31,31,32,32,31,30,30,29,30,29,30,30],1984:[17,31,32,31,32,31,30,30,30,29,29,30,31],1985:[18,31,31,31,32,31,31,29,30,30,29,30,30],1986:[18,31,31,32,31,31,31,30,29,30,29,30,30],1987:[18,31,32,31,32,31,30,30,29,30,29,30,30],1988:[17,31,32,31,32,31,30,30,30,29,29,30,31],1989:[18,31,31,31,32,31,31,30,29,30,29,30,30],1990:[18,31,31,32,31,31,31,30,29,30,29,30,30],1991:[18,31,32,31,32,31,30,30,29,30,29,30,30],1992:[17,31,32,31,32,31,30,30,30,29,30,29,31],1993:[18,31,31,31,32,31,31,30,29,30,29,30,30],1994:[18,31,31,32,31,31,31,30,29,30,29,30,30],1995:[17,31,32,31,32,31,30,30,30,29,29,30,30],1996:[17,31,32,31,32,31,30,30,30,29,30,29,31],1997:[18,31,31,32,31,31,31,30,29,30,29,30,30],1998:[18,31,31,32,31,31,31,30,29,30,29,30,30],1999:[17,31,32,31,32,31,30,30,30,29,29,30,31],2000:[17,30,32,31,32,31,30,30,30,29,30,29,31],2001:[18,31,31,32,31,31,31,30,29,30,29,30,30],2002:[18,31,31,32,32,31,30,30,29,30,29,30,30],2003:[17,31,32,31,32,31,30,30,30,29,29,30,31],2004:[17,30,32,31,32,31,30,30,30,29,30,29,31],2005:[18,31,31,32,31,31,31,30,29,30,29,30,30],2006:[18,31,31,32,32,31,30,30,29,30,29,30,30],2007:[17,31,32,31,32,31,30,30,30,29,29,30,31],2008:[17,31,31,31,32,31,31,29,30,30,29,29,31],2009:[18,31,31,32,31,31,31,30,29,30,29,30,30],2010:[18,31,31,32,32,31,30,30,29,30,29,30,30],2011:[17,31,32,31,32,31,30,30,30,29,29,30,31],2012:[17,31,31,31,32,31,31,29,30,30,29,30,30],2013:[18,31,31,32,31,31,31,30,29,30,29,30,30],2014:[18,31,31,32,32,31,30,30,29,30,29,30,30],2015:[17,31,32,31,32,31,30,30,30,29,29,30,31],2016:[17,31,31,31,32,31,31,29,30,30,29,30,30],2017:[18,31,31,32,31,31,31,30,29,30,29,30,30],2018:[18,31,32,31,32,31,30,30,29,30,29,30,30],2019:[17,31,32,31,32,31,30,30,30,29,30,29,31],2020:[17,31,31,31,32,31,31,30,29,30,29,30,30],2021:[18,31,31,32,31,31,31,30,29,30,29,30,30],2022:[17,31,32,31,32,31,30,30,30,29,29,30,30],2023:[17,31,32,31,32,31,30,30,30,29,30,29,31],2024:[17,31,31,31,32,31,31,30,29,30,29,30,30],2025:[18,31,31,32,31,31,31,30,29,30,29,30,30],2026:[17,31,32,31,32,31,30,30,30,29,29,30,31],2027:[17,30,32,31,32,31,30,30,30,29,30,29,31],2028:[17,31,31,32,31,31,31,30,29,30,29,30,30],2029:[18,31,31,32,31,32,30,30,29,30,29,30,30],2030:[17,31,32,31,32,31,30,30,30,30,30,30,31],2031:[17,31,32,31,32,31,31,31,31,31,31,31,31],2032:[17,32,32,32,32,32,32,32,32,32,32,32,32],2033:[18,31,31,32,32,31,30,30,29,30,29,30,30],2034:[17,31,32,31,32,31,30,30,30,29,29,30,31],2035:[17,30,32,31,32,31,31,29,30,30,29,29,31],2036:[17,31,31,32,31,31,31,30,29,30,29,30,30],2037:[18,31,31,32,32,31,30,30,29,30,29,30,30],2038:[17,31,32,31,32,31,30,30,30,29,29,30,31],2039:[17,31,31,31,32,31,31,29,30,30,29,30,30],2040:[17,31,31,32,31,31,31,30,29,30,29,30,30],2041:[18,31,31,32,32,31,30,30,29,30,29,30,30],2042:[17,31,32,31,32,31,30,30,30,29,29,30,31],2043:[17,31,31,31,32,31,31,29,30,30,29,30,30],2044:[17,31,31,32,31,31,31,30,29,30,29,30,30],2045:[18,31,32,31,32,31,30,30,29,30,29,30,30],2046:[17,31,32,31,32,31,30,30,30,29,29,30,31],2047:[17,31,31,31,32,31,31,30,29,30,29,30,30],2048:[17,31,31,32,31,31,31,30,29,30,29,30,30],2049:[17,31,32,31,32,31,30,30,30,29,29,30,30],2050:[17,31,32,31,32,31,30,30,30,29,30,29,31],2051:[17,31,31,31,32,31,31,30,29,30,29,30,30],2052:[17,31,31,32,31,31,31,30,29,30,29,30,30],2053:[17,31,32,31,32,31,30,30,30,29,29,30,30],2054:[17,31,32,31,32,31,30,30,30,29,30,29,31],2055:[17,31,31,32,31,31,31,30,29,30,30,29,30],2056:[17,31,31,32,31,32,30,30,29,30,29,30,30],2057:[17,31,32,31,32,31,30,30,30,29,29,30,31],2058:[17,30,32,31,32,31,30,30,30,29,30,29,31],2059:[17,31,31,32,31,31,31,30,29,30,29,30,30],2060:[17,31,31,32,32,31,30,30,29,30,29,30,30],2061:[17,31,32,31,32,31,30,30,30,29,29,30,31],2062:[17,30,32,31,32,31,31,29,30,29,30,29,31],2063:[17,31,31,32,31,31,31,30,29,30,29,30,30],2064:[17,31,31,32,32,31,30,30,29,30,29,30,30],2065:[17,31,32,31,32,31,30,30,30,29,29,30,31],2066:[17,31,31,31,32,31,31,29,30,30,29,29,31],2067:[17,31,31,32,31,31,31,30,29,30,29,30,30],2068:[17,31,31,32,32,31,30,30,29,30,29,30,30],2069:[17,31,32,31,32,31,30,30,30,29,29,30,31],2070:[17,31,31,31,32,31,31,29,30,30,29,30,30],2071:[17,31,31,32,31,31,31,30,29,30,29,30,30],2072:[17,31,32,31,32,31,30,30,29,30,29,30,30],2073:[17,31,32,31,32,31,30,30,30,29,29,30,31],2074:[17,31,31,31,32,31,31,30,29,30,29,30,30],2075:[17,31,31,32,31,31,31,30,29,30,29,30,30],2076:[16,31,32,31,32,31,30,30,30,29,29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n=t("object-assign");function i(){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 a(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(c.local.invalidDate||c.regionalOptions[""].invalidDate).replace(/\{0\}/,this._calendar.local.name)}function o(t,e){return"000000".substring(0,e-(t=""+t).length)+t}function s(){this.shortYearCutoff="+10"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[""]}n(i.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()).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]}}}),n(a.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(c.local.invalidDate||c.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(c.local.differentCalendars||c.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?"-":"")+o(Math.abs(this.year()),4)+"-"+o(this.month(),2)+"-"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[""].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[""].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[""].invalidYear);return(e.year()<0?"-":"")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[""].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.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,c.local.invalidMonth||c.regionalOptions[""].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[""].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.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,c.local.invalidDate||c.regionalOptions[""].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[""].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.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.local.unexpectedText||i.regionalOptions[""].unexpectedText;if(-1===f?f=this.today().year():f<100&&v&&(f+=-1===n?1900:this.today().year()-this.today().year()%100-(f<=n?0:100)),"string"==typeof p&&(p=s.call(this,f,p)),g>-1){p=1,d=g;for(var E=this.daysInMonth(f,p);d>E;E=this.daysInMonth(f,p))p++,d-=E}return h>-1?this.fromJD(h):this.newDate(f,p,d)},determineDate:function(t,e,r,n,i){r&&"object"!=typeof r&&(i=n,n=r,r=null),"string"!=typeof n&&(i=n,n="");var a=this;return e=e?e.newDate():null,t=null==t?e:"string"==typeof t?function(t){try{return a.parseDate(n,t,i)}catch(t){}for(var e=((t=t.toLowerCase()).match(/^c/)&&r?r.newDate():null)||a.today(),o=/([+-]?[0-9]+)\s*(d|w|m|y)?/g,s=o.exec(t);s;)e.add(parseInt(s[1],10),s[2]||"d"),s=o.exec(t);return e}(t):"number"==typeof 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j=e.font,U=x._meta?o.templateString(e.text,x._meta):e.text,V=z.append("text").classed("annotation-text",!0).text(U);_.annotationText?V.call(h.makeEditable,{delegate:z,gd:t}).call(H).on("edit",function(r){e.text=r,this.call(H),T("text",r),s&&s.autorange&&k(s._name+".autorange",!0),v&&v.autorange&&k(v._name+".autorange",!0),i.call("_guiRelayout",t,A())}):V.call(H)}else n.selectAll("#"+M).remove();function q(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return a&&(n.subplotId=a),n}function H(r){return r.call(c.font,j).attr({"text-anchor":{left:"start",right:"end"}[e.align]||"middle"}),h.convertToTspans(r,t,G),r}function G(){var r=V.selectAll("a");1===r.size()&&r.text()===V.text()&&z.insert("a",":first-child").attr({"xlink:xlink:href":r.attr("xlink:href"),"xlink:xlink:show":r.attr("xlink:show")}).style({cursor:"pointer"}).node().appendChild(F.node());var 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z.remove()}}e.exports={draw:function(t){var e=t._fullLayout;e._infolayer.selectAll(".annotation").remove();for(var r=0;r<e.annotations.length;r++)e.annotations[r].visible&&v(t,r);return a.previousPromises(t)},drawOne:v,drawRaw:m}},{"../../lib":719,"../../lib/setcursor":739,"../../lib/svg_text_utils":743,"../../plot_api/plot_template":757,"../../plots/cartesian/axes":767,"../../plots/plots":828,"../../registry":847,"../color":593,"../dragelement":611,"../drawing":614,"../fx":632,"./draw_arrow_head":583,d3:163}],583:[function(t,e,r){"use strict";var n=t("d3"),i=t("../color"),a=t("./arrow_paths");e.exports=function(t,e,r){var o,s,l,c,u=t.node(),h=a[r.arrowhead||0],f=a[r.startarrowhead||0],p=(r.arrowwidth||1)*(r.arrowsize||1),d=(r.arrowwidth||1)*(r.startarrowsize||1),g=e.indexOf("start")>=0,v=e.indexOf("end")>=0,m=h.backoff*p+r.standoff,y=f.backoff*d+r.startstandoff;if("line"===u.nodeName){o={x:+t.attr("x1"),y:+t.attr("y1")},s={x:+t.attr("x2"),y:+t.attr("y2")};var 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n=t("../annotations/attributes"),i=t("../../plot_api/edit_types").overrideAll,a=t("../../plot_api/plot_template").templatedArray;e.exports=i(a("annotation",{visible:n.visible,x:{valType:"any"},y:{valType:"any"},z:{valType:"any"},ax:{valType:"number"},ay:{valType:"number"},xanchor:n.xanchor,xshift:n.xshift,yanchor:n.yanchor,yshift:n.yshift,text:n.text,textangle:n.textangle,font:n.font,width:n.width,height:n.height,opacity:n.opacity,align:n.align,valign:n.valign,bgcolor:n.bgcolor,bordercolor:n.bordercolor,borderpad:n.borderpad,borderwidth:n.borderwidth,showarrow:n.showarrow,arrowcolor:n.arrowcolor,arrowhead:n.arrowhead,startarrowhead:n.startarrowhead,arrowside:n.arrowside,arrowsize:n.arrowsize,startarrowsize:n.startarrowsize,arrowwidth:n.arrowwidth,standoff:n.standoff,startstandoff:n.startstandoff,hovertext:n.hovertext,hoverlabel:n.hoverlabel,captureevents:n.captureevents}),"calc","from-root")},{"../../plot_api/edit_types":750,"../../plot_api/plot_template":757,"../annotations/attributes":576}],586:[function(t,e,r){"use 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h=a[u],f=l[h],p=e[h+"axis"].r2fraction(f);if(p<0||p>1){c=!0;break}}c?t.fullLayout._infolayer.select(".annotation-"+t.id+'[data-index="'+s+'"]').remove():(l._pdata=i(t.glplot.cameraParams,[e.xaxis.r2l(l.x)*r[0],e.yaxis.r2l(l.y)*r[1],e.zaxis.r2l(l.z)*r[2]]),n(t.graphDiv,l,s,t.id,l._xa,l._ya))}}},{"../../plots/gl3d/project":816,"../annotations/draw":582}],589:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("../../lib");e.exports={moduleType:"component",name:"annotations3d",schema:{subplots:{scene:{annotations:t("./attributes")}}},layoutAttributes:t("./attributes"),handleDefaults:t("./defaults"),includeBasePlot:function(t,e){var r=n.subplotsRegistry.gl3d;if(!r)return;for(var a=r.attrRegex,o=Object.keys(t),s=0;s<o.length;s++){var l=o[s];a.test(l)&&(t[l].annotations||[]).length&&(i.pushUnique(e._basePlotModules,r),i.pushUnique(e._subplots.gl3d,l))}},convert:t("./convert"),draw:t("./draw")}},{"../../lib":719,"../../registry":847,"./attributes":585,"./convert":586,"./defaults":587,"./draw":588}],590:[function(t,e,r){"use 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This does not set the calendar for","interpreting data on this axis, that's specified in the trace","or via the global `layout.calendar`"].join(" "));e.exports={moduleType:"component",name:"calendars",schema:{traces:{scatter:m,bar:m,box:m,heatmap:m,contour:m,histogram:m,histogram2d:m,histogram2dcontour:m,scatter3d:y,surface:y,mesh3d:y,scattergl:m,ohlc:v,candlestick:v},layout:{calendar:d(["Sets the default calendar system to use for interpreting and","displaying dates throughout the plot."].join(" "))},subplots:{xaxis:{calendar:x},yaxis:{calendar:x},scene:{xaxis:{calendar:x},yaxis:{calendar:x},zaxis:{calendar:x}},polar:{radialaxis:{calendar:x}}},transforms:{filter:{valuecalendar:d(["Sets the calendar system to use for `value`, if it is a date."].join(" ")),targetcalendar:d(["Sets the calendar system to use for `target`, if it is an","array of dates. 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i=0;i<r.length;i++)c(t,e,r[i]+"calendar",n.calendar)},CANONICAL_SUNDAY:{chinese:"2000-01-02",coptic:"2000-01-03",discworld:"2000-01-03",ethiopian:"2000-01-05",hebrew:"5000-01-01",islamic:"1000-01-02",julian:"2000-01-03",mayan:"5000-01-01",nanakshahi:"1000-01-05",nepali:"2000-01-05",persian:"1000-01-01",jalali:"1000-01-01",taiwan:"1000-01-04",thai:"2000-01-04",ummalqura:"1400-01-06"},CANONICAL_TICK:{chinese:"2000-01-01",coptic:"2000-01-01",discworld:"2000-01-01",ethiopian:"2000-01-01",hebrew:"5000-01-01",islamic:"1000-01-01",julian:"2000-01-01",mayan:"5000-01-01",nanakshahi:"1000-01-01",nepali:"2000-01-01",persian:"1000-01-01",jalali:"1000-01-01",taiwan:"1000-01-01",thai:"2000-01-01",ummalqura:"1400-01-01"},DFLTRANGE:{chinese:["2000-01-01","2001-01-01"],coptic:["1700-01-01","1701-01-01"],discworld:["1800-01-01","1801-01-01"],ethiopian:["2000-01-01","2001-01-01"],hebrew:["5700-01-01","5701-01-01"],islamic:["1400-01-01","1401-01-01"],julian:["2000-01-01","2001-01-01"],mayan:["5200-01-01","5201-01-01"],nanakshahi:["0500-01-01","0501-01-01"],nepali:["2000-01-01","2001-01-01"],persian:["1400-01-01","1401-01-01"],jalali:["1400-01-01","1401-01-01"],taiwan:["0100-01-01","0101-01-01"],thai:["2500-01-01","2501-01-01"],ummalqura:["1400-01-01","1401-01-01"]},getCal:p,worldCalFmt:function(t,e,r){for(var 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r,n=null,i=1/0,a=0;a<t.length;a++)(r=t[a].spikeDistance)<i&&r<=e&&(n=t[a],i=r);return n}function vt(t){return t?{xa:t.xa,ya:t.ya,x:void 0!==t.xSpike?t.xSpike:(t.x0+t.x1)/2,y:void 0!==t.ySpike?t.ySpike:(t.y0+t.y1)/2,distance:t.distance,spikeDistance:t.spikeDistance,curveNumber:t.trace.index,color:t.color,pointNumber:t.index}:null}var mt={fullLayout:u,container:u._hoverlayer,outerContainer:u._paperdiv,event:e},yt=t._spikepoints,xt={vLinePoint:$.vLinePoint,hLinePoint:$.hLinePoint};if(t._spikepoints=xt,y&&0!==Z&&0!==J.length){var bt=J.filter(function(t){return t.ya.showspikes}),_t=gt(bt,Z);$.hLinePoint=vt(_t);var wt=J.filter(function(t){return t.xa.showspikes}),kt=gt(wt,Z);$.vLinePoint=vt(kt)}if(0===J.length){var Tt=f.unhoverRaw(t,e);return!y||null===$.hLinePoint&&null===$.vLinePoint||C(yt)&&E($,mt),Tt}y&&C(yt)&&E($,mt);J.sort(function(t,e){return t.distance-e.distance});var At=t._hoverdata,Mt=[];for(F=0;F<J.length;F++){var St=J[F],Et=g.makeEventData(St,St.trace,St.cd);if(!1!==St.hovertemplate){var Ct=!1;St.cd[St.index]&&St.cd[St.index].ht&&(Ct=St.cd[St.index].ht),St.hovertemplate=Ct||St.trace.hovertemplate||!1}St.eventData=[Et],Mt.push(Et)}t._hoverdata=Mt;var Lt="y"===I&&(K.length>1||J.length>1)||"closest"===I&&Q&&J.length>1,Pt=h.combine(u.plot_bgcolor||h.background,u.paper_bgcolor),Ot={hovermode:I,rotateLabels:Lt,bgColor:Pt,container:u._hoverlayer,outerContainer:u._paperdiv,commonLabelOpts:u.hoverlabel,hoverdistance:u.hoverdistance},zt=A(J,Ot,t);if(function(t,e,r){var n,i,a,o,s,l,c,u=0,h=1,f=t.size(),p=new Array(f),d=0;function g(t){var e=t[0],r=t[t.length-1];if(i=e.pmin-e.pos-e.dp+e.size,a=r.pos+r.dp+r.size-e.pmax,i>.01){for(s=t.length-1;s>=0;s--)t[s].dp+=i;n=!1}if(!(a<.01)){if(i<-.01){for(s=t.length-1;s>=0;s--)t[s].dp-=a;n=!1}if(n){var c=0;for(o=0;o<t.length;o++)(l=t[o]).pos+l.dp+l.size>e.pmax&&c++;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos>e.pmax-1&&(l.del=!0,c--);for(o=0;o<t.length&&!(c<=0);o++)if((l=t[o]).pos<e.pmin+1)for(l.del=!0,c--,a=2*l.size,s=t.length-1;s>=0;s--)t[s].dp-=a;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos+l.dp+l.size>e.pmax&&(l.del=!0,c--)}}}for(t.each(function(t){var n=t[e],i="x"===n._id.charAt(0),a=n.range;0===d&&a&&a[0]>a[1]!==i&&(h=-1),p[d++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(i?x:1)/2,pmin:0,pmax:i?r.width:r.height}]}),p.sort(function(t,e){return t[0].posref-e[0].posref||h*(e[0].traceIndex-t[0].traceIndex)});!n&&u<=f;){for(u++,n=!0,o=0;o<p.length-1;){var v=p[o],m=p[o+1],y=v[v.length-1],b=m[0];if((i=y.pos+y.dp+y.size-b.pos-b.dp+b.size)>.01&&y.pmin===b.pmin&&y.pmax===b.pmax){for(s=m.length-1;s>=0;s--)m[s].dp+=i;for(v.push.apply(v,m),p.splice(o+1,1),c=0,s=v.length-1;s>=0;s--)c+=v[s].dp;for(a=c/v.length,s=v.length-1;s>=0;s--)v[s].dp-=a;n=!1}else o++}p.forEach(g)}for(o=p.length-1;o>=0;o--){var _=p[o];for(s=_.length-1;s>=0;s--){var w=_[s],k=w.datum;k.offset=w.dp,k.del=w.del}}}(zt,Lt?"xa":"ya",u),M(zt,Lt),e.target&&e.target.tagName){var It=d.getComponentMethod("annotations","hasClickToShow")(t,Mt);c(n.select(e.target),It?"pointer":"")}if(!e.target||a||!function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,At))return;At&&t.emit("plotly_unhover",{event:e,points:At});t.emit("plotly_hover",{event:e,points:t._hoverdata,xaxes:w,yaxes:k,xvals:D,yvals:R})}(t,e,r,a)})},r.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=t.map(function(t){return{color:t.color||h.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:""},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,eventData:t.eventData||!1,hovertemplateLabels:t.hovertemplateLabels||!1}}),a=n.select(e.container),o=e.outerContainer?n.select(e.outerContainer):a,s={hovermode:"closest",rotateLabels:!1,bgColor:e.bgColor||h.background,container:a,outerContainer:o},l=A(i,s,e.gd),c=0,u=0;return l.sort(function(t,e){return t.y0-e.y0}).each(function(t,r){var n=t.y0-t.by/2;t.offset=n-5<c?c-n+5:0,c=n+t.by+t.offset,r===e.anchorIndex&&(u=t.offset)}).each(function(t){t.offset-=u}),M(l,s.rotateLabels),r?l:l.node()};var T=/<extra>([\s\S]*)<\/extra>/;function A(t,e,r){var i=r._fullLayout,a=e.hovermode,s=e.rotateLabels,c=e.bgColor,f=e.container,p=e.outerContainer,d=e.commonLabelOpts||{},g=e.fontFamily||v.HOVERFONT,y=e.fontSize||v.HOVERFONTSIZE,x=t[0],b=x.xa,_=x.ya,A="y"===a?"yLabel":"xLabel",M=x[A],S=(String(M)||"").split(" ")[0],E=p.node().getBoundingClientRect(),C=E.top,P=E.width,O=E.height,z=void 0!==M&&x.distance<=e.hoverdistance&&("x"===a||"y"===a);if(z){var I,D,R=!0;for(I=0;I<t.length;I++)if(R&&void 0===t[I].zLabel&&(R=!1),D=t[I].hoverinfo||t[I].trace.hoverinfo){var F=Array.isArray(D)?D:D.split("+");if(-1===F.indexOf("all")&&-1===F.indexOf(a)){z=!1;break}}R&&(z=!1)}var B=f.selectAll("g.axistext").data(z?[0]:[]);B.enter().append("g").classed("axistext",!0),B.exit().remove(),B.each(function(){var e=n.select(this),i=o.ensureSingle(e,"path","",function(t){t.style({"stroke-width":"1px"})}),s=o.ensureSingle(e,"text","",function(t){t.attr("data-notex",1)}),c=d.bgcolor||h.defaultLine,f=d.bordercolor||h.contrast(c),p=h.contrast(c);i.style({fill:c,stroke:f}),s.text(M).call(u.font,d.font.family||g,d.font.size||y,d.font.color||p).call(l.positionText,0,0).call(l.convertToTspans,r),e.attr("transform","");var v=s.node().getBoundingClientRect();if("x"===a){s.attr("text-anchor","middle").call(l.positionText,0,"top"===b.side?C-v.bottom-w-k:C-v.top+w+k);var m="top"===b.side?"-":"";i.attr("d","M0,0L"+w+","+m+w+"H"+(k+v.width/2)+"v"+m+(2*k+v.height)+"H-"+(k+v.width/2)+"V"+m+w+"H-"+w+"Z"),e.attr("transform","translate("+(b._offset+(x.x0+x.x1)/2)+","+(_._offset+("top"===b.side?0:_._length))+")")}else{s.attr("text-anchor","right"===_.side?"start":"end").call(l.positionText,("right"===_.side?1:-1)*(k+w),C-v.top-v.height/2);var T="right"===_.side?"":"-";i.attr("d","M0,0L"+T+w+","+w+"V"+(k+v.height/2)+"h"+T+(2*k+v.width)+"V-"+(k+v.height/2)+"H"+T+w+"V-"+w+"Z"),e.attr("transform","translate("+(b._offset+("right"===_.side?b._length:0))+","+(_._offset+(x.y0+x.y1)/2)+")")}t=t.filter(function(t){return void 0!==t.zLabelVal||(t[A]||"").split(" ")[0]===S})});var N=f.selectAll("g.hovertext").data(t,function(t){return[t.trace.index,t.index,t.x0,t.y0,t.name,t.attr,t.xa,t.ya||""].join(",")});return N.enter().append("g").classed("hovertext",!0).each(function(){var t=n.select(this);t.append("rect").call(h.fill,h.addOpacity(c,.8)),t.append("text").classed("name",!0),t.append("path").style("stroke-width","1px"),t.append("text").classed("nums",!0).call(u.font,g,y)}),N.exit().remove(),N.each(function(t){var e=n.select(this).attr("transform",""),f="",p="",d=t.bgcolor||t.color,v=h.combine(h.opacity(d)?d:h.defaultLine,c),x=h.combine(h.opacity(t.color)?t.color:h.defaultLine,c),b=t.borderColor||h.contrast(v);void 0!==t.nameOverride&&(t.name=t.nameOverride),t.name&&(t.trace._meta&&(t.name=o.templateString(t.name,t.trace._meta)),f=L(t.name,t.nameLength)),void 0!==t.zLabel?(void 0!==t.xLabel&&(p+="x: "+t.xLabel+"<br>"),void 0!==t.yLabel&&(p+="y: "+t.yLabel+"<br>"),"choropleth"!==t.trace.type&&"choroplethmapbox"!==t.trace.type&&(p+=(p?"z: ":"")+t.zLabel)):z&&t[a+"Label"]===M?p=t[("x"===a?"y":"x")+"Label"]||"":void 0===t.xLabel?void 0!==t.yLabel&&"scattercarpet"!==t.trace.type&&(p=t.yLabel):p=void 0===t.yLabel?t.xLabel:"("+t.xLabel+", "+t.yLabel+")",!t.text&&0!==t.text||Array.isArray(t.text)||(p+=(p?"<br>":"")+t.text),void 0!==t.extraText&&(p+=(p?"<br>":"")+t.extraText),""!==p||t.hovertemplate||(""===f&&e.remove(),p=f);var _=i._d3locale,A=t.hovertemplate||!1,S=t.hovertemplateLabels||t,E=t.eventData[0]||{};A&&(p=(p=o.hovertemplateString(A,S,_,E,t.trace._meta)).replace(T,function(e,r){return f=L(r,t.nameLength),""}));var I=e.select("text.nums").call(u.font,t.fontFamily||g,t.fontSize||y,t.fontColor||b).text(p).attr("data-notex",1).call(l.positionText,0,0).call(l.convertToTspans,r),D=e.select("text.name"),R=0,F=0;if(f&&f!==p){D.call(u.font,t.fontFamily||g,t.fontSize||y,x).text(f).attr("data-notex",1).call(l.positionText,0,0).call(l.convertToTspans,r);var B=D.node().getBoundingClientRect();R=B.width+2*k,F=B.height+2*k}else D.remove(),e.select("rect").remove();e.select("path").style({fill:v,stroke:b});var N,j,U=I.node().getBoundingClientRect(),V=t.xa._offset+(t.x0+t.x1)/2,q=t.ya._offset+(t.y0+t.y1)/2,H=Math.abs(t.x1-t.x0),G=Math.abs(t.y1-t.y0),Y=U.width+w+k+R;if(t.ty0=C-U.top,t.bx=U.width+2*k,t.by=Math.max(U.height+2*k,F),t.anchor="start",t.txwidth=U.width,t.tx2width=R,t.offset=0,s)t.pos=V,N=q+G/2+Y<=O,j=q-G/2-Y>=0,"top"!==t.idealAlign&&N||!j?N?(q+=G/2,t.anchor="start"):t.anchor="middle":(q-=G/2,t.anchor="end");else if(t.pos=q,N=V+H/2+Y<=P,j=V-H/2-Y>=0,"left"!==t.idealAlign&&N||!j)if(N)V+=H/2,t.anchor="start";else{t.anchor="middle";var W=Y/2,X=V+W-P,Z=V-W;X>0&&(V-=X),Z<0&&(V+=-Z)}else V-=H/2,t.anchor="end";I.attr("text-anchor",t.anchor),R&&D.attr("text-anchor",t.anchor),e.attr("transform","translate("+V+","+q+")"+(s?"rotate("+m+")":""))}),N}function M(t,e){t.each(function(t){var r=n.select(this);if(t.del)return r.remove();var i=r.select("text.nums"),a=t.anchor,o="end"===a?-1:1,s={start:1,end:-1,middle:0}[a],c=s*(w+k),h=c+s*(t.txwidth+k),f=0,p=t.offset;"middle"===a&&(c-=t.tx2width/2,h+=t.txwidth/2+k),e&&(p*=-_,f=t.offset*b),r.select("path").attr("d","middle"===a?"M-"+(t.bx/2+t.tx2width/2)+","+(p-t.by/2)+"h"+t.bx+"v"+t.by+"h-"+t.bx+"Z":"M0,0L"+(o*w+f)+","+(w+p)+"v"+(t.by/2-w)+"h"+o*t.bx+"v-"+t.by+"H"+(o*w+f)+"V"+(p-w)+"Z");var d=c+f,g=p+t.ty0-t.by/2+k,v=t.textAlign||"auto";"auto"!==v&&("left"===v&&"start"!==a?(i.attr("text-anchor","start"),d="middle"===a?-t.bx/2-t.tx2width/2+k:-t.bx-k):"right"===v&&"end"!==a&&(i.attr("text-anchor","end"),d="middle"===a?t.bx/2-t.tx2width/2-k:t.bx+k)),i.call(l.positionText,d,g),t.tx2width&&(r.select("text.name").call(l.positionText,h+s*k+f,p+t.ty0-t.by/2+k),r.select("rect").call(u.setRect,h+(s-1)*t.tx2width/2+f,p-t.by/2-1,t.tx2width,t.by+2))})}function S(t,e){var r=t.index,n=t.trace||{},a=t.cd[0],s=t.cd[r]||{};function l(t){return t||i(t)&&0===t}var c=Array.isArray(r)?function(t,e){var i=o.castOption(a,r,t);return l(i)?i:o.extractOption({},n,"",e)}:function(t,e){return o.extractOption(s,n,t,e)};function u(e,r,n){var i=c(r,n);l(i)&&(t[e]=i)}if(u("hoverinfo","hi","hoverinfo"),u("bgcolor","hbg","hoverlabel.bgcolor"),u("borderColor","hbc","hoverlabel.bordercolor"),u("fontFamily","htf","hoverlabel.font.family"),u("fontSize","hts","hoverlabel.font.size"),u("fontColor","htc","hoverlabel.font.color"),u("nameLength","hnl","hoverlabel.namelength"),u("textAlign","hta","hoverlabel.align"),t.posref="y"===e||"closest"===e&&"h"===n.orientation?t.xa._offset+(t.x0+t.x1)/2:t.ya._offset+(t.y0+t.y1)/2,t.x0=o.constrain(t.x0,0,t.xa._length),t.x1=o.constrain(t.x1,0,t.xa._length),t.y0=o.constrain(t.y0,0,t.ya._length),t.y1=o.constrain(t.y1,0,t.ya._length),void 0!==t.xLabelVal&&(t.xLabel="xLabel"in t?t.xLabel:p.hoverLabelText(t.xa,t.xLabelVal),t.xVal=t.xa.c2d(t.xLabelVal)),void 0!==t.yLabelVal&&(t.yLabel="yLabel"in t?t.yLabel:p.hoverLabelText(t.ya,t.yLabelVal),t.yVal=t.ya.c2d(t.yLabelVal)),void 0!==t.zLabelVal&&void 0===t.zLabel&&(t.zLabel=String(t.zLabelVal)),!(isNaN(t.xerr)||"log"===t.xa.type&&t.xerr<=0)){var 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l={_fullLayout:r},c=["x","y"],u=0;u<2;u++){var h=c[u],f=i.coerceRef(t,e,l,h,"paper");if("paper"!==f)i.getFromId(l,f)._imgIndices.push(e._index);i.coercePosition(e,l,a,f,h,0)}return e}e.exports=function(t,e){a(t,e,{name:"images",handleItemDefaults:s})}},{"../../lib":719,"../../plots/array_container_defaults":763,"../../plots/cartesian/axes":767,"./attributes":637}],640:[function(t,e,r){"use strict";var n=t("d3"),i=t("../drawing"),a=t("../../plots/cartesian/axes"),o=t("../../constants/xmlns_namespaces");e.exports=function(t){var e,r,s=t._fullLayout,l=[],c={},u=[];for(r=0;r<s.images.length;r++){var h=s.images[r];if(h.visible)if("below"===h.layer&&"paper"!==h.xref&&"paper"!==h.yref){e=h.xref+h.yref;var f=s._plots[e];if(!f){u.push(h);continue}f.mainplot&&(e=f.mainplot.id),c[e]||(c[e]=[]),c[e].push(h)}else"above"===h.layer?l.push(h):u.push(h)}var p={x:{left:{sizing:"xMin",offset:0},center:{sizing:"xMid",offset:-.5},right:{sizing:"xMax",offset:-1}},y:{top:{sizing:"YMin",offset:0},middle:{sizing:"YMid",offset:-.5},bottom:{sizing:"YMax",offset:-1}}};function d(e){var r=n.select(this);if(!this.img||this.img.src!==e.source){r.attr("xmlns",o.svg);var i=new Promise(function(t){var n=new Image;function i(){r.remove(),t()}this.img=n,n.setAttribute("crossOrigin","anonymous"),n.onerror=i,n.onload=function(){var e=document.createElement("canvas");e.width=this.width,e.height=this.height,e.getContext("2d").drawImage(this,0,0);var n=e.toDataURL("image/png");r.attr("xlink:href",n),t()},r.on("error",i),n.src=e.source}.bind(this));t._promises.push(i)}}function g(e){var 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n=t("../../plots/font_attributes"),i=t("../../plots/pad_attributes"),a=t("../../lib/extend").extendDeepAll,o=t("../../plot_api/edit_types").overrideAll,s=t("../../plots/animation_attributes"),l=t("../../plot_api/plot_template").templatedArray,c=t("./constants"),u=l("step",{visible:{valType:"boolean",dflt:!0},method:{valType:"enumerated",values:["restyle","relayout","animate","update","skip"],dflt:"restyle"},args:{valType:"info_array",freeLength:!0,items:[{valType:"any"},{valType:"any"},{valType:"any"}]},label:{valType:"string"},value:{valType:"string"},execute:{valType:"boolean",dflt:!0}});e.exports=o(l("slider",{visible:{valType:"boolean",dflt:!0},active:{valType:"number",min:0,dflt:0},steps:u,lenmode:{valType:"enumerated",values:["fraction","pixels"],dflt:"fraction"},len:{valType:"number",min:0,dflt:1},x:{valType:"number",min:-2,max:3,dflt:0},pad:a(i({editType:"arraydraw"}),{},{t:{dflt:20}}),xanchor:{valType:"enumerated",values:["auto","left","center","right"],dflt:"left"},y:{valType:"number",min:-2,max:3,dflt:0},yanchor:{valType:"enumerated",values:["auto","top","middle","bottom"],dflt:"top"},transition:{duration:{valType:"number",min:0,dflt:150},easing:{valType:"enumerated",values:s.transition.easing.values,dflt:"cubic-in-out"}},currentvalue:{visible:{valType:"boolean",dflt:!0},xanchor:{valType:"enumerated",values:["left","center","right"],dflt:"left"},offset:{valType:"number",dflt:10},prefix:{valType:"string"},suffix:{valType:"string"},font:n({})},font:n({}),activebgcolor:{valType:"color",dflt:c.gripBgActiveColor},bgcolor:{valType:"color",dflt:c.railBgColor},bordercolor:{valType:"color",dflt:c.railBorderColor},borderwidth:{valType:"number",min:0,dflt:c.railBorderWidth},ticklen:{valType:"number",min:0,dflt:c.tickLength},tickcolor:{valType:"color",dflt:c.tickColor},tickwidth:{valType:"number",min:0,dflt:1},minorticklen:{valType:"number",min:0,dflt:c.minorTickLength}}),"arraydraw","from-root")},{"../../lib/extend":710,"../../plot_api/edit_types":750,"../../plot_api/plot_template":757,"../../plots/animation_attributes":762,"../../plots/font_attributes":793,"../../plots/pad_attributes":827,"./constants":677}],677:[function(t,e,r){"use 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k={y:e.y,b:h.height*d[w],t:h.height*p[w]};"fraction"===e.lenmode?(k.l=0,k.xl=e.x-e.len*p[_],k.r=0,k.xr=e.x+e.len*d[_]):(k.x=e.x,k.l=h.outerLength*p[_],k.r=h.outerLength*d[_]),i.autoMargin(t,g(e),k)}function y(t,e,r){if(e.currentvalue.visible){var n,i,a=e._dims;switch(e.currentvalue.xanchor){case"right":n=a.inputAreaLength-u.currentValueInset-a.currentValueMaxWidth,i="left";break;case"center":n=.5*a.inputAreaLength,i="middle";break;default:n=u.currentValueInset,i="left"}var c=s.ensureSingle(t,"text",u.labelClass,function(t){t.classed("user-select-none",!0).attr({"text-anchor":i,"data-notex":1})}),h=e.currentvalue.prefix?e.currentvalue.prefix:"";if("string"==typeof r)h+=r;else{var p=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(p=s.templateString(p,d)),h+=p}e.currentvalue.suffix&&(h+=e.currentvalue.suffix),c.call(o.font,e.currentvalue.font).text(h).call(l.convertToTspans,e._gd);var g=l.lineCount(c),v=(a.currentValueMaxLines+1-g)*e.currentvalue.font.size*f;return 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f=t("./dates");l.dateTime2ms=f.dateTime2ms,l.isDateTime=f.isDateTime,l.ms2DateTime=f.ms2DateTime,l.ms2DateTimeLocal=f.ms2DateTimeLocal,l.cleanDate=f.cleanDate,l.isJSDate=f.isJSDate,l.formatDate=f.formatDate,l.incrementMonth=f.incrementMonth,l.dateTick0=f.dateTick0,l.dfltRange=f.dfltRange,l.findExactDates=f.findExactDates,l.MIN_MS=f.MIN_MS,l.MAX_MS=f.MAX_MS;var p=t("./search");l.findBin=p.findBin,l.sorterAsc=p.sorterAsc,l.sorterDes=p.sorterDes,l.distinctVals=p.distinctVals,l.roundUp=p.roundUp,l.sort=p.sort,l.findIndexOfMin=p.findIndexOfMin;var d=t("./stats");l.aggNums=d.aggNums,l.len=d.len,l.mean=d.mean,l.median=d.median,l.midRange=d.midRange,l.variance=d.variance,l.stdev=d.stdev,l.interp=d.interp;var g=t("./matrix");l.init2dArray=g.init2dArray,l.transposeRagged=g.transposeRagged,l.dot=g.dot,l.translationMatrix=g.translationMatrix,l.rotationMatrix=g.rotationMatrix,l.rotationXYMatrix=g.rotationXYMatrix,l.apply2DTransform=g.apply2DTransform,l.apply2DTransform2=g.apply2DTransform2;var 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f=!1;l&&h!==(0|h)&&(f=!0),o.push({minor:f,value:h})}rt(t)&&360===Math.abs(e[1]-e[0])&&o.pop(),t._tmax=(o[o.length-1]||{}).value,t._prevDateHead="",t._inCalcTicks=!0;for(var p=new Array(o.length),d=0;d<o.length;d++)p[d]=A.tickText(t,o[d].value,!1,o[d].minor);return t._inCalcTicks=!1,p};var O=[2,5,10],z=[1,2,3,6,12],I=[1,2,5,10,15,30],D=[1,2,3,7,14],R=[-.046,0,.301,.477,.602,.699,.778,.845,.903,.954,1],F=[-.301,0,.301,.699,1],B=[15,30,45,90,180];function N(t,e,r){return e*s.roundUp(t/e,r)}function j(t){var e=t.dtick;if(t._tickexponent=0,i(e)||"string"==typeof e||(e=1),"category"!==t.type&&"multicategory"!==t.type||(t._tickround=null),"date"===t.type){var r=t.r2l(t.tick0),n=t.l2r(r).replace(/(^-|i)/g,""),a=n.length;if("M"===String(e).charAt(0))a>10||"01-01"!==n.substr(5)?t._tickround="d":t._tickround=+e.substr(1)%12==0?"y":"m";else if(e>=m&&a<=10||e>=15*m)t._tickround="d";else if(e>=x&&a<=16||e>=y)t._tickround="M";else if(e>=b&&a<=19||e>=x)t._tickround="S";else{var 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m=n/(h[2]-h[0])*(l[2]-l[0])+l[0],y=i/(h[3]-h[1])*(l[3]-l[1])+l[1];c.boxInited||(c.boxStart[0]=m,c.boxStart[1]=y,c.dragStart[0]=n,c.dragStart[1]=i),c.boxEnd[0]=m,c.boxEnd[1]=y,c.boxInited=!0,c.boxEnabled||c.boxStart[0]===c.boxEnd[0]&&c.boxStart[1]===c.boxEnd[1]||(c.boxEnabled=!0);var x=Math.abs(c.dragStart[0]-n)<g,b=Math.abs(c.dragStart[1]-i)<g;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,i=0;i<e.length;i++)if(-1!==e[i][r]){if(-1!==e[i][n])return!0;break}return!1}()||x&&b)x&&(c.boxEnd[0]=c.boxStart[0]),b&&(c.boxEnd[1]=c.boxStart[1]);else{a=c.boxEnd[0]-c.boxStart[0],s=c.boxEnd[1]-c.boxStart[1];var _=(l[3]-l[1])/(l[2]-l[0]);Math.abs(a*_)>Math.abs(s)?(c.boxEnd[1]=c.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),c.boxEnd[1]<l[1]?(c.boxEnd[1]=l[1],c.boxEnd[0]=c.boxStart[0]+(l[1]-c.boxStart[1])/Math.abs(_)):c.boxEnd[1]>l[3]&&(c.boxEnd[1]=l[3],c.boxEnd[0]=c.boxStart[0]+(l[3]-c.boxStart[1])/Math.abs(_))):(c.boxEnd[0]=c.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),c.boxEnd[0]<l[0]?(c.boxEnd[0]=l[0],c.boxEnd[1]=c.boxStart[1]+(l[0]-c.boxStart[0])*Math.abs(_)):c.boxEnd[0]>l[2]&&(c.boxEnd[0]=l[2],c.boxEnd[1]=c.boxStart[1]+(l[2]-c.boxStart[0])*Math.abs(_)))}}else c.boxEnabled?(a=c.boxStart[0]!==c.boxEnd[0],s=c.boxStart[1]!==c.boxEnd[1],a||s?(a&&(v(0,c.boxStart[0],c.boxEnd[0]),t.xaxis.autorange=!1),s&&(v(1,c.boxStart[1],c.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),c.boxEnabled=!1,c.boxInited=!1):c.boxInited&&(c.boxInited=!1);break;case"pan":c.boxEnabled=!1,c.boxInited=!1,e?(c.panning||(c.dragStart[0]=n,c.dragStart[1]=i),Math.abs(c.dragStart[0]-n)<d&&(n=c.dragStart[0]),Math.abs(c.dragStart[1]-i)<d&&(i=c.dragStart[1]),a=(f-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-i)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=a,l[2]+=a,l[1]+=s,l[3]+=s,t.setRanges(l),c.panning=!0,c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations()):c.panning&&(c.panning=!1,t.relayoutCallback())}c.lastPos[0]=n,c.lastPos[1]=i}return c.mouseListener=n(e,h),e.addEventListener("touchstart",function(t){var r=a(t.changedTouches[0],e);h(0,r[0],r[1]),h(1,r[0],r[1]),t.preventDefault()},!!s&&{passive:!1}),e.addEventListener("touchmove",function(t){t.preventDefault();var r=a(t.changedTouches[0],e);h(1,r[0],r[1]),t.preventDefault()},!!s&&{passive:!1}),e.addEventListener("touchend",function(t){h(0,c.lastPos[0],c.lastPos[1]),t.preventDefault()},!!s&&{passive:!1}),c.wheelListener=i(e,function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=c.lastPos[0],s=c.lastPos[1],l=Math.exp(5*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];return i[0]=(i[0]-h)*l+h,i[2]=(i[2]-h)*l+h,i[1]=(i[1]-f)*l+f,i[3]=(i[3]-f)*l+f,t.setRanges(i),c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0},!0),c}},{"../cartesian/constants":773,"has-passive-events":411,"mouse-change":435,"mouse-event-offset":436,"mouse-wheel":438}],804:[function(t,e,r){"use strict";var n=t("../cartesian/axes"),i=t("../../lib/str2rgbarray");function a(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}var o=a.prototype,s=["xaxis","yaxis"];o.merge=function(t){var e,r,n,a,o,l,c,u,h,f,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),f=0;f<2;++f){var d=(e=s[f]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?"":r.title.text,p=0;p<=2;p+=2)this.labelEnable[f+p]=!1,this.labels[f+p]=n,this.labelColor[f+p]=i(r.title.font.color),this.labelFont[f+p]=r.title.font.family,this.labelSize[f+p]=r.title.font.size,this.labelPad[f+p]=this.getLabelPad(e,r),this.tickEnable[f+p]=!1,this.tickColor[f+p]=i((r.tickfont||{}).color),this.tickAngle[f+p]="auto"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[f+p]=this.getTickPad(r),this.tickMarkLength[f+p]=0,this.tickMarkWidth[f+p]=r.tickwidth||0,this.tickMarkColor[f+p]=i(r.tickcolor),this.borderLineEnable[f+p]=!1,this.borderLineColor[f+p]=i(r.linecolor),this.borderLineWidth[f+p]=r.linewidth||0;c=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!c,l=this.hasAxisInAltrPos(e,r)&&!c,a=r.mirror||!1,u=c?-1!==String(a).indexOf("all"):!!a,h=c?"allticks"===a:-1!==String(a).indexOf("ticks"),o?this.labelEnable[f]=!0:l&&(this.labelEnable[f+2]=!0),o?this.tickEnable[f]=r.showticklabels:l&&(this.tickEnable[f+2]=r.showticklabels),(o||u)&&(this.borderLineEnable[f]=r.showline),(l||u)&&(this.borderLineEnable[f+2]=r.showline),(o||h)&&(this.tickMarkLength[f]=this.getTickMarkLength(r)),(l||h)&&(this.tickMarkLength[f+2]=this.getTickMarkLength(r)),this.gridLineEnable[f]=r.showgrid,this.gridLineColor[f]=i(r.gridcolor),this.gridLineWidth[f]=r.gridwidth,this.zeroLineEnable[f]=r.zeroline,this.zeroLineColor[f]=i(r.zerolinecolor),this.zeroLineWidth[f]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return"xaxis"===t?"bottom"===r:"yaxis"===t?"left"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return"xaxis"===t?"top"===r:"yaxis"===t?"right"===r:void 0},o.getLabelPad=function(t,e){var r=e.title.font.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},o.getTickPad=function(t){return"outside"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return"inside"===t.ticks?-e:e},e.exports=function(t){return new a(t)}},{"../../lib/str2rgbarray":742,"../cartesian/axes":767}],805:[function(t,e,r){"use strict";var n=t("../../plot_api/edit_types").overrideAll,i=t("./scene2d"),a=t("../layout_attributes"),o=t("../../constants/xmlns_namespaces"),s=t("../cartesian/constants"),l=t("../cartesian"),c=t("../../components/fx/layout_attributes"),u=t("../get_data").getSubplotData;r.name="gl2d",r.attr=["xaxis","yaxis"],r.idRoot=["x","y"],r.idRegex=s.idRegex,r.attrRegex=s.attrRegex,r.attributes=t("../cartesian/attributes"),r.supplyLayoutDefaults=function(t,e,r){e._has("cartesian")||l.supplyLayoutDefaults(t,e,r)},r.layoutAttrOverrides=n(l.layoutAttributes,"plot","from-root"),r.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:c.hoverlabel},"plot","nested"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=u(r,"gl2d",o),c=s._scene2d;void 0===c&&(c=new i({id:o,graphDiv:t,container:t.querySelector(".gl-container"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=c),c.plot(l,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];if(s._scene2d)0===u(t,"gl2d",o).length&&(s._scene2d.destroy(),delete n._plots[o])}l.clean.apply(this,arguments)},r.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage("png");e._glimages.append("svg:image").attr({xmlns:o.svg,"xlink:href":a,x:0,y:0,width:"100%",height:"100%",preserveAspectRatio:"none"}),i.destroy()}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){e._plots[r[n]]._scene2d.updateFx(e.dragmode)}}},{"../../components/fx/layout_attributes":633,"../../constants/xmlns_namespaces":696,"../../plot_api/edit_types":750,"../cartesian":778,"../cartesian/attributes":765,"../cartesian/constants":773,"../get_data":802,"../layout_attributes":819,"./scene2d":806}],806:[function(t,e,r){"use strict";var n,i,a=t("../../registry"),o=t("../../plots/cartesian/axes"),s=t("../../components/fx"),l=t("gl-plot2d"),c=t("gl-spikes2d"),u=t("gl-select-box"),h=t("webgl-context"),f=t("./convert"),p=t("./camera"),d=t("../../lib/show_no_webgl_msg"),g=t("../cartesian/constraints"),v=g.enforce,m=g.clean,y=t("../cartesian/autorange").doAutoRange,x=["xaxis","yaxis"],b=t("../cartesian/constants").SUBPLOT_PATTERN;function _(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.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=f(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=c(this.glplot),this.selectBox=u(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}e.exports=_;var w=_.prototype;w.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement("canvas"),i=h({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error("Error creating static canvas/context for image server");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(".gl-canvas-focus"),e=h({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);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 a=this.svgContainer=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";var o=this.mouseContainer=document.createElement("div");o.style.position="absolute",o.style["pointer-events"]="auto",this.pickCanvas=this.container.querySelector(".gl-canvas-pick");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener("mouseout",function(){l.isMouseOver=!1,l.unhover()}),o.addEventListener("mouseover",function(){l.isMouseOver=!0})},w.toImage=function(t){t||(t="png"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=a[4*(r*o+l)+c];a[4*(r*o+l)+c]=a[4*(r*s+l)+c],a[4*(r*s+l)+c]=u}var h=document.createElement("canvas");h.width=r,h.height=i;var f,p=h.getContext("2d"),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case"jpeg":f=h.toDataURL("image/jpeg");break;case"webp":f=h.toDataURL("image/webp");break;default:f=h.toDataURL("image/png")}return this.staticPlot&&this.container.removeChild(n),f},w.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),t},w.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+"";return t},w.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(b),r="xaxis"+e[1],n="yaxis"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},w.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+".range"]=e.range.slice(),s=i[r._name+".range"]=r.range.slice();i[e._name+".autorange"]=e.autorange,i[r._name+".autorange"]=r.autorange,a.call("_storeDirectGUIEdit",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var c=n[r._name];c.range=s,c.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit("plotly_relayout",i)},w.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(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})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},w.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&&a.getComponentMethod("annotations","drawOne")(t,r)}},w.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map(function(e){t[e].dispose(),delete t[e]}),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener("wheel",this.camera.wheelListener),this.camera=null}},w.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);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={_fullLayout:{_axisConstraintGroups:this.graphDiv._fullLayout._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis}};m(s,this.xaxis),m(s,this.yaxis);var l,c,u=r._size,h=this.xaxis.domain,f=this.yaxis.domain;for(o.viewBox=[u.l+h[0]*u.w,u.b+f[0]*u.h,i-u.r-(1-h[1])*u.w,a-u.t-(1-f[1])*u.h],this.mouseContainer.style.width=u.w*(h[1]-h[0])+"px",this.mouseContainer.style.height=u.h*(f[1]-f[0])+"px",this.mouseContainer.height=u.h*(f[1]-f[0]),this.mouseContainer.style.left=u.l+h[0]*u.w+"px",this.mouseContainer.style.top=u.t+(1-f[1])*u.h+"px",c=0;c<2;++c)(l=this[x[c]])._length=o.viewBox[c+2]-o.viewBox[c],y(this.graphDiv,l),l.setScale();v(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},w.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])]},w.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])]},w.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]).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],c=this.traces[i.uid];c?c.update(i,l):(c=i._module.plot(this,i,l),this.traces[i.uid]=c)}this.glplot.objects.sort(function(t,e){return t._trace.index-e._trace.index})},w.updateFx=function(t){"lasso"===t||"select"===t?(this.pickCanvas.style["pointer-events"]="none",this.mouseContainer.style["pointer-events"]="none"):(this.pickCanvas.style["pointer-events"]="auto",this.mouseContainer.style["pointer-events"]="auto"),this.mouseContainer.style.cursor="pan"===t?"move":"zoom"===t?"crosshair":null},w.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},w.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,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&"zoom"===i.dragmode){this.selectBox.enabled=!0;for(var c=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])],u=0;u<2;u++)e.boxStart[u]===e.boxEnd[u]&&(c[u]=t.dataBox[u],c[u+2]=t.dataBox[u+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var h=i._size,f=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+h.l+f[0]*h.w,l/t.pixelRatio-(h.t+(1-p[1])*h.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,"plotly_click"),a&&"skip"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var g=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),g.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(d,"plotly_hover");var v=this.fullData[g.trace.index]||{},m=g.pointIndex,y=s.castHoverinfo(v,i,m);if(y&&"all"!==y){var x=y.split("+");-1===x.indexOf("x")&&(g.traceCoord[0]=void 0),-1===x.indexOf("y")&&(g.traceCoord[1]=void 0),-1===x.indexOf("z")&&(g.traceCoord[2]=void 0),-1===x.indexOf("text")&&(g.textLabel=void 0),-1===x.indexOf("name")&&(g.name=void 0)}s.loneHover({x:g.screenCoord[0],y:g.screenCoord[1],xLabel:this.hoverFormatter("xaxis",g.traceCoord[0]),yLabel:this.hoverFormatter("yaxis",g.traceCoord[1]),zLabel:g.traceCoord[2],text:g.textLabel,name:g.name,color:s.castHoverOption(v,m,"bgcolor")||g.color,borderColor:s.castHoverOption(v,m,"bordercolor"),fontFamily:s.castHoverOption(v,m,"font.family"),fontSize:s.castHoverOption(v,m,"font.size"),fontColor:s.castHoverOption(v,m,"font.color"),nameLength:s.castHoverOption(v,m,"namelength"),textAlign:s.castHoverOption(v,m,"align")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},w.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit("plotly_unhover"),s.loneUnhover(this.svgContainer))},w.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),"hover").text}}},{"../../components/fx":632,"../../lib/show_no_webgl_msg":740,"../../plots/cartesian/axes":767,"../../registry":847,"../cartesian/autorange":766,"../cartesian/constants":773,"../cartesian/constraints":774,"./camera":803,"./convert":804,"gl-plot2d":287,"gl-select-box":299,"gl-spikes2d":308,"webgl-context":556}],807:[function(t,e,r){"use strict";var n=t("../../plot_api/edit_types").overrideAll,i=t("../../components/fx/layout_attributes"),a=t("./scene"),o=t("../get_data").getSubplotData,s=t("../../lib"),l=t("../../constants/xmlns_namespaces");r.name="gl3d",r.attr="scene",r.idRoot="scene",r.idRegex=r.attrRegex=s.counterRegex("scene"),r.attributes=t("./layout/attributes"),r.layoutAttributes=t("./layout/layout_attributes"),r.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},"plot","nested"),r.supplyLayoutDefaults=t("./layout/defaults"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl3d,i=0;i<n.length;i++){var s=n[i],l=o(r,"gl3d",s),c=e[s],u=c.camera,h=c._scene;h||(h=new a({id:s,graphDiv:t,container:t.querySelector(".gl-container"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:u},e),c._scene=h),h.viewInitial||(h.viewInitial={up:{x:u.up.x,y:u.up.y,z:u.up.z},eye:{x:u.eye.x,y:u.eye.y,z:u.eye.z},center:{x:u.center.x,y:u.center.y,z:u.center.z}}),h.plot(l,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl3d||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(".annotation-"+o).remove())}},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,c=s.toImage("png");e._glimages.append("svg:image").attr({xmlns:l.svg,"xlink:href":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:"none"}),s.destroy()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return"1"===e&&(e=""),"scene"+e}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=0;n<r.length;n++){e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}}},{"../../components/fx/layout_attributes":633,"../../constants/xmlns_namespaces":696,"../../lib":719,"../../plot_api/edit_types":750,"../get_data":802,"./layout/attributes":808,"./layout/defaults":812,"./layout/layout_attributes":813,"./scene":817}],808:[function(t,e,r){"use strict";e.exports={scene:{valType:"subplotid",dflt:"scene",editType:"calc+clearAxisTypes"}}},{}],809:[function(t,e,r){"use strict";var n=t("../../../components/color"),i=t("../../cartesian/layout_attributes"),a=t("../../../lib/extend").extendFlat,o=t("../../../plot_api/edit_types").overrideAll;e.exports=o({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,type:a({},i.type,{values:["-","linear","log","date","category"]}),autorange:i.autorange,rangemode:i.rangemode,range:a({},i.range,{items:[{valType:"any",editType:"plot",impliedEdits:{"^autorange":!1}},{valType:"any",editType:"plot",impliedEdits:{"^autorange":!1}}],anim:!1}),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,tickformatstops:i.tickformatstops,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,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},"plot","from-root")},{"../../../components/color":593,"../../../lib/extend":710,"../../../plot_api/edit_types":750,"../../cartesian/layout_attributes":779}],810:[function(t,e,r){"use strict";var n=t("tinycolor2").mix,i=t("../../../lib"),a=t("../../../plot_api/plot_template"),o=t("./axis_attributes"),s=t("../../cartesian/type_defaults"),l=t("../../cartesian/axis_defaults"),c=["xaxis","yaxis","zaxis"];e.exports=function(t,e,r){var u,h;function f(t,e){return i.coerce(u,h,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(h=a.newContainer(e,d))._id=d[0]+r.scene,h._name=d,s(u,h,f,r),l(u,h,f,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),f("gridcolor",n(h.color,r.bgColor,13600/187).toRgbString()),f("title.text",d[0]),h.setScale=i.noop,f("showspikes")&&(f("spikesides"),f("spikethickness"),f("spikecolor",h.color)),f("showaxeslabels"),f("showbackground")&&f("backgroundcolor")}}},{"../../../lib":719,"../../../plot_api/plot_template":757,"../../cartesian/axis_defaults":769,"../../cartesian/type_defaults":790,"./axis_attributes":809,tinycolor2:537}],811:[function(t,e,r){"use strict";var n=t("../../../lib/str2rgbarray"),i=t("../../../lib"),a=["xaxis","yaxis","zaxis"];function o(){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.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()}o.prototype.merge=function(t,e){for(var r=0;r<3;++r){var o=e[a[r]];o.visible?(this.labels[r]=t._meta?i.templateString(o.title.text,t._meta):o.title.text,"font"in o.title&&(o.title.font.color&&(this.labelColor[r]=n(o.title.font.color)),o.title.font.family&&(this.labelFont[r]=o.title.font.family),o.title.font.size&&(this.labelSize[r]=o.title.font.size)),"showline"in o&&(this.lineEnable[r]=o.showline),"linecolor"in o&&(this.lineColor[r]=n(o.linecolor)),"linewidth"in o&&(this.lineWidth[r]=o.linewidth),"showgrid"in o&&(this.gridEnable[r]=o.showgrid),"gridcolor"in o&&(this.gridColor[r]=n(o.gridcolor)),"gridwidth"in o&&(this.gridWidth[r]=o.gridwidth),"log"===o.type?this.zeroEnable[r]=!1:"zeroline"in o&&(this.zeroEnable[r]=o.zeroline),"zerolinecolor"in o&&(this.zeroLineColor[r]=n(o.zerolinecolor)),"zerolinewidth"in o&&(this.zeroLineWidth[r]=o.zerolinewidth),"ticks"in o&&o.ticks?this.lineTickEnable[r]=!0:this.lineTickEnable[r]=!1,"ticklen"in o&&(this.lineTickLength[r]=this._defaultLineTickLength[r]=o.ticklen),"tickcolor"in o&&(this.lineTickColor[r]=n(o.tickcolor)),"tickwidth"in o&&(this.lineTickWidth[r]=o.tickwidth),"tickangle"in o&&(this.tickAngle[r]="auto"===o.tickangle?-3600:Math.PI*-o.tickangle/180),"showticklabels"in o&&(this.tickEnable[r]=o.showticklabels),"tickfont"in o&&(o.tickfont.color&&(this.tickColor[r]=n(o.tickfont.color)),o.tickfont.family&&(this.tickFont[r]=o.tickfont.family),o.tickfont.size&&(this.tickSize[r]=o.tickfont.size)),"mirror"in o?-1!==["ticks","all","allticks"].indexOf(o.mirror)?(this.lineTickMirror[r]=!0,this.lineMirror[r]=!0):!0===o.mirror?(this.lineTickMirror[r]=!1,this.lineMirror[r]=!0):(this.lineTickMirror[r]=!1,this.lineMirror[r]=!1):this.lineMirror[r]=!1,"showbackground"in o&&!1!==o.showbackground?(this.backgroundEnable[r]=!0,this.backgroundColor[r]=n(o.backgroundcolor)):this.backgroundEnable[r]=!1):(this.tickEnable[r]=!1,this.labelEnable[r]=!1,this.lineEnable[r]=!1,this.lineTickEnable[r]=!1,this.gridEnable[r]=!1,this.zeroEnable[r]=!1,this.backgroundEnable[r]=!1)}},e.exports=function(t,e){var r=new o;return r.merge(t,e),r}},{"../../../lib":719,"../../../lib/str2rgbarray":742}],812:[function(t,e,r){"use strict";var n=t("../../../lib"),i=t("../../../components/color"),a=t("../../../registry"),o=t("../../subplot_defaults"),s=t("./axis_defaults"),l=t("./layout_attributes"),c=t("../../get_data").getSubplotData,u="gl3d";function h(t,e,r,n){for(var o=r("bgcolor"),l=i.combine(o,n.paper_bgcolor),h=["up","center","eye"],f=0;f<h.length;f++)r("camera."+h[f]+".x"),r("camera."+h[f]+".y"),r("camera."+h[f]+".z");r("camera.projection.type");var p=!!r("aspectratio.x")&&!!r("aspectratio.y")&&!!r("aspectratio.z"),d=r("aspectmode",p?"manual":"auto");p||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},"manual"===d&&(e.aspectmode="auto"),t.aspectmode=e.aspectmode);var g=c(n.fullData,u,n.id);s(t,e,{font:n.font,scene:n.id,data:g,bgColor:l,calendar:n.calendar,fullLayout:n.fullLayout}),a.getComponentMethod("annotations3d","handleDefaults")(t,e,n);var v=n.getDfltFromLayout("dragmode");if(!1!==v&&!v)if(v="orbit",t.camera&&t.camera.up){var m=t.camera.up.x,y=t.camera.up.y,x=t.camera.up.z;0!==x&&(m&&y&&x?x/Math.sqrt(m*m+y*y+x*x)>.999&&(v="turntable"):v="turntable")}else v="turntable";r("dragmode",v),r("hovermode",n.getDfltFromLayout("hovermode"))}e.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:u,attributes:l,handleDefaults:h,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{"../../../components/color":593,"../../../lib":719,"../../../registry":847,"../../get_data":802,"../../subplot_defaults":842,"./axis_defaults":810,"./layout_attributes":813}],813:[function(t,e,r){"use strict";var n=t("./axis_attributes"),i=t("../../domain").attributes,a=t("../../../lib/extend").extendFlat,o=t("../../../lib").counterRegex;function s(t,e,r){return{x:{valType:"number",dflt:t,editType:"camera"},y:{valType:"number",dflt:e,editType:"camera"},z:{valType:"number",dflt:r,editType:"camera"},editType:"camera"}}e.exports={_arrayAttrRegexps:[o("scene",".annotations",!0)],bgcolor:{valType:"color",dflt:"rgba(0,0,0,0)",editType:"plot"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:"enumerated",values:["perspective","orthographic"],dflt:"perspective",editType:"calc"},editType:"calc"},editType:"camera"},domain:i({name:"scene",editType:"plot"}),aspectmode:{valType:"enumerated",values:["auto","cube","data","manual"],dflt:"auto",editType:"plot",impliedEdits:{"aspectratio.x":void 0,"aspectratio.y":void 0,"aspectratio.z":void 0}},aspectratio:{x:{valType:"number",min:0,editType:"plot",impliedEdits:{"^aspectmode":"manual"}},y:{valType:"number",min:0,editType:"plot",impliedEdits:{"^aspectmode":"manual"}},z:{valType:"number",min:0,editType:"plot",impliedEdits:{"^aspectmode":"manual"}},editType:"plot",impliedEdits:{aspectmode:"manual"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:"enumerated",values:["orbit","turntable","zoom","pan",!1],editType:"plot"},hovermode:{valType:"enumerated",values:["closest",!1],dflt:"closest",editType:"modebar"},uirevision:{valType:"any",editType:"none"},editType:"plot",_deprecated:{cameraposition:{valType:"info_array",editType:"camera"}}}},{"../../../lib":719,"../../../lib/extend":710,"../../domain":792,"./axis_attributes":809}],814:[function(t,e,r){"use strict";var n=t("../../../lib/str2rgbarray"),i=["xaxis","yaxis","zaxis"];function a(){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]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=function(t){var e=new a;return e.merge(t),e}},{"../../../lib/str2rgbarray":742}],815:[function(t,e,r){"use strict";e.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[a[c]];if(u._length=(r[c].hi-r[c].lo)*r[c].pixelsPerDataUnit/t.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else{u._input_range=u.range.slice(),u.range[0]=r[c].lo/t.dataScale[c],u.range[1]=r[c].hi/t.dataScale[c],u._m=1/(t.dataScale[c]*r[c].pixelsPerDataUnit),u.range[0]===u.range[1]&&(u.range[0]-=1,u.range[1]+=1);var h=u.tickmode;if("auto"===u.tickmode){u.tickmode="linear";var f=u.nticks||i.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/f)}for(var p=n.calcTicks(u),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[c],"date"===u.type&&(p[d].text=p[d].text.replace(/\<br\>/g," "));l[c]=p,u.tickmode=h}}e.ticks=l;for(var c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(var d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(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}(l)};var n=t("../../cartesian/axes"),i=t("../../../lib"),a=["xaxis","yaxis","zaxis"],o=[0,0,0]},{"../../../lib":719,"../../cartesian/axes":767}],816:[function(t,e,r){"use strict";function n(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}e.exports=function(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}},{}],817:[function(t,e,r){"use strict";var n,i,a=t("gl-plot3d").createCamera,o=t("gl-plot3d").createScene,s=t("webgl-context"),l=t("has-passive-events"),c=t("../../registry"),u=t("../../lib"),h=t("../../plots/cartesian/axes"),f=t("../../components/fx"),p=t("../../lib/str2rgbarray"),d=t("../../lib/show_no_webgl_msg"),g=t("./project"),v=t("./layout/convert"),m=t("./layout/spikes"),y=t("./layout/tick_marks");function x(t,e,r,a){if(t.initializeGLCamera(),!function(t,e,r,a,l){var c={canvas:a,gl:l,container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:e,pixelRatio:r};if(t.staticMode){if(!(i||(n=document.createElement("canvas"),i=s({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error("error creating static canvas/context for image server");c.pixelRatio=t.pixelRatio,c.gl=i,c.canvas=n}try{t.glplot=o(c)}catch(t){return!1}return!0}(t,t.camera,e,r,a))return d(t);var c=t.graphDiv,p=function(t){if(!1!==t.fullSceneLayout.dragmode){var e={};e[t.id+".camera"]=T(t.camera),t.saveCamera(c.layout),t.graphDiv.emit("plotly_relayout",e)}};return t.glplot.canvas.addEventListener("mouseup",function(){p(t)}),t.glplot.canvas.addEventListener("wheel",function(){c._context._scrollZoom.gl3d&&p(t)},!!l&&{passive:!1}),t.glplot.canvas.addEventListener("mousemove",function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e={};e[t.id+".camera"]=T(t.camera),t.graphDiv.emit("plotly_relayouting",e)}}),t.staticMode||t.glplot.canvas.addEventListener("webglcontextlost",function(e){c&&c.emit&&c.emit("plotly_webglcontextlost",{event:e,layer:t.id})},!1),t.glplot.camera=t.camera,t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(t){var e,r=t.graphDiv,n=t.svgContainer,i=t.container.getBoundingClientRect(),a=i.width,o=i.height;n.setAttributeNS(null,"viewBox","0 0 "+a+" "+o),n.setAttributeNS(null,"width",a),n.setAttributeNS(null,"height",o),y(t),t.glplot.axes.update(t.axesOptions);for(var s,l=Object.keys(t.traces),c=null,p=t.glplot.selection,d=0;d<l.length;++d)"skip"!==(e=t.traces[l[d]]).data.hoverinfo&&e.handlePick(p)&&(c=e),e.setContourLevels&&e.setContourLevels();function v(e,r){var n=t.fullSceneLayout[e];return h.tickText(n,n.d2l(r),"hover").text}if(null!==c){var m=g(t.glplot.cameraParams,p.dataCoordinate);e=c.data;var x,b=r._fullData[e.index],_=p.index,w={xLabel:v("xaxis",p.traceCoordinate[0]),yLabel:v("yaxis",p.traceCoordinate[1]),zLabel:v("zaxis",p.traceCoordinate[2])},k=f.castHoverinfo(b,t.fullLayout,_),T=(k||"").split("+"),A=k&&"all"===k;b.hovertemplate||A||(-1===T.indexOf("x")&&(w.xLabel=void 0),-1===T.indexOf("y")&&(w.yLabel=void 0),-1===T.indexOf("z")&&(w.zLabel=void 0),-1===T.indexOf("text")&&(p.textLabel=void 0),-1===T.indexOf("name")&&(c.name=void 0));var M=[];"cone"===e.type||"streamtube"===e.type?(w.uLabel=v("xaxis",p.traceCoordinate[3]),(A||-1!==T.indexOf("u"))&&M.push("u: "+w.uLabel),w.vLabel=v("yaxis",p.traceCoordinate[4]),(A||-1!==T.indexOf("v"))&&M.push("v: "+w.vLabel),w.wLabel=v("zaxis",p.traceCoordinate[5]),(A||-1!==T.indexOf("w"))&&M.push("w: "+w.wLabel),w.normLabel=p.traceCoordinate[6].toPrecision(3),(A||-1!==T.indexOf("norm"))&&M.push("norm: "+w.normLabel),"streamtube"===e.type&&(w.divergenceLabel=p.traceCoordinate[7].toPrecision(3),(A||-1!==T.indexOf("divergence"))&&M.push("divergence: "+w.divergenceLabel)),p.textLabel&&M.push(p.textLabel),x=M.join("<br>")):"isosurface"===e.type||"volume"===e.type?(w.valueLabel=h.tickText(t.mockAxis,t.mockAxis.d2l(p.traceCoordinate[3]),"hover").text,M.push("value: "+w.valueLabel),p.textLabel&&M.push(p.textLabel),x=M.join("<br>")):x=p.textLabel;var S={x:p.traceCoordinate[0],y:p.traceCoordinate[1],z:p.traceCoordinate[2],data:b._input,fullData:b,curveNumber:b.index,pointNumber:_};f.appendArrayPointValue(S,b,_),e._module.eventData&&(S=b._module.eventData(S,p,b,{},_));var E={points:[S]};t.fullSceneLayout.hovermode&&f.loneHover({trace:b,x:(.5+.5*m[0]/m[3])*a,y:(.5-.5*m[1]/m[3])*o,xLabel:w.xLabel,yLabel:w.yLabel,zLabel:w.zLabel,text:x,name:c.name,color:f.castHoverOption(b,_,"bgcolor")||c.color,borderColor:f.castHoverOption(b,_,"bordercolor"),fontFamily:f.castHoverOption(b,_,"font.family"),fontSize:f.castHoverOption(b,_,"font.size"),fontColor:f.castHoverOption(b,_,"font.color"),nameLength:f.castHoverOption(b,_,"namelength"),textAlign:f.castHoverOption(b,_,"align"),hovertemplate:u.castOption(b,_,"hovertemplate"),hovertemplateLabels:u.extendFlat({},S,w),eventData:[S]},{container:n,gd:r}),p.buttons&&p.distance<5?r.emit("plotly_click",E):r.emit("plotly_hover",E),s=E}else f.loneUnhover(n),r.emit("plotly_unhover",s);t.drawAnnotations(t)}.bind(null,t),t.traces={},t.make4thDimension(),!0}function b(t,e){var r=document.createElement("div"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS("http://www.w3.org/2000/svg","svg");i.style.position="absolute",i.style.top=i.style.left="0px",i.style.width=i.style.height="100%",i.style["z-index"]=20,i.style["pointer-events"]="none",r.appendChild(i),this.svgContainer=i,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=v(e,e[this.id]),this.spikeOptions=m(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=c.getComponentMethod("annotations3d","convert"),this.drawAnnotations=c.getComponentMethod("annotations3d","draw"),x(this,this.pixelRatio)}var _=b.prototype;_.initializeGLCamera=function(){var t=this.fullSceneLayout.camera,e="orthographic"===t.projection.type;this.camera=a(this.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:e,zoomMin:.01,zoomMax:100,mode:"orbit"})},_.recoverContext=function(){var t=this,e=this.glplot.gl,r=this.glplot.canvas,n=this.glplot.camera,i=this.glplot.pixelRatio;this.glplot.dispose(),requestAnimationFrame(function a(){e.isContextLost()?requestAnimationFrame(a):x(t,n,i,r)?t.plot.apply(t,t.plotArgs):u.error("Catastrophic and unrecoverable WebGL error. Context lost.")})};var w=["xaxis","yaxis","zaxis"];function k(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=w[i],o=a.charAt(0),s=n[a],l=e[o],c=e[o+"calendar"],h=e["_"+o+"length"];if(u.isArrayOrTypedArray(l))for(var f,p=0;p<(h||l.length);p++)if(u.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)f=s.d2l(l[p][d],0,c),!isNaN(f)&&isFinite(f)&&(r[0][i]=Math.min(r[0][i],f),r[1][i]=Math.max(r[1][i],f));else f=s.d2l(l[p],0,c),!isNaN(f)&&isFinite(f)&&(r[0][i]=Math.min(r[0][i],f),r[1][i]=Math.max(r[1][i],f));else r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],h-1)}}function T(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]},projection:{type:!0===t._ortho?"orthographic":"perspective"}}}_.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,i,a,o,s,l,c=e[this.id],u=r[this.id];c.bgcolor?this.glplot.clearColor=p(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(e,c),this.spikeOptions.merge(c),this.setCamera(c.camera),this.updateFx(c.dragmode,c.hovermode),this.camera.enableWheel=this.graphDiv._context._scrollZoom.gl3d,this.glplot.update({}),this.setConvert(s),t?Array.isArray(t)||(t=[t]):t=[];var h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&k(this,n,h);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=w[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var c=n[l];if(c.visible){var u=s.r2l(c[o]);!isNaN(u)&&isFinite(u)&&(e[0][i]=Math.min(e[0][i],u),e[1][i]=Math.max(e[1][i],u))}}}(this,h);var f=[1,1,1];for(o=0;o<3;++o)h[1][o]===h[0][o]?f[o]=1:f[o]=1/(h[1][o]-h[0][o]);for(this.dataScale=f,this.convertAnnotations(this),a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&((i=this.traces[n.uid])?i.data.type===n.type?i.update(n):(i.dispose(),i=n._module.plot(this,n),this.traces[n.uid]=i):(i=n._module.plot(this,n),this.traces[n.uid]=i),i.name=n.name);var d=Object.keys(this.traces);t:for(a=0;a<d.length;++a){for(o=0;o<t.length;++o)if(t[o].uid===d[a]&&!0===t[o].visible&&0!==t[o]._length)continue t;(i=this.traces[d[a]]).dispose(),delete this.traces[d[a]]}this.glplot.objects.sort(function(t,e){return t._trace.data.index-e._trace.data.index});var g=[[0,0,0],[0,0,0]],v=[],m={};for(a=0;a<3;++a){if((l=(s=c[w[a]]).type)in m?(m[l].acc*=f[a],m[l].count+=1):m[l]={acc:f[a],count:1},s.autorange){g[0][a]=1/0,g[1][a]=-1/0;var y=this.glplot.objects,x=this.fullSceneLayout.annotations||[],b=s._name.charAt(0);for(o=0;o<y.length;o++){var _=y[o],T=_.bounds,A=_._trace.data._pad||0;"ErrorBars"===_.constructor.name&&s._lowerLogErrorBound?g[0][a]=Math.min(g[0][a],s._lowerLogErrorBound):g[0][a]=Math.min(g[0][a],T[0][a]/f[a]-A),g[1][a]=Math.max(g[1][a],T[1][a]/f[a]+A)}for(o=0;o<x.length;o++){var M=x[o];if(M.visible){var S=s.r2l(M[b]);g[0][a]=Math.min(g[0][a],S),g[1][a]=Math.max(g[1][a],S)}}if("rangemode"in s&&"tozero"===s.rangemode&&(g[0][a]=Math.min(g[0][a],0),g[1][a]=Math.max(g[1][a],0)),g[0][a]>g[1][a])g[0][a]=-1,g[1][a]=1;else{var E=g[1][a]-g[0][a];g[0][a]-=E/32,g[1][a]+=E/32}if("reversed"===s.autorange){var C=g[0][a];g[0][a]=g[1][a],g[1][a]=C}}else{var L=s.range;g[0][a]=s.r2l(L[0]),g[1][a]=s.r2l(L[1])}g[0][a]===g[1][a]&&(g[0][a]-=1,g[1][a]+=1),v[a]=g[1][a]-g[0][a],this.glplot.bounds[0][a]=g[0][a]*f[a],this.glplot.bounds[1][a]=g[1][a]*f[a]}var P=[1,1,1];for(a=0;a<3;++a){var O=m[l=(s=c[w[a]]).type];P[a]=Math.pow(O.acc,1/O.count)/f[a]}var z;if("auto"===c.aspectmode)z=Math.max.apply(null,P)/Math.min.apply(null,P)<=4?P:[1,1,1];else if("cube"===c.aspectmode)z=[1,1,1];else if("data"===c.aspectmode)z=P;else{if("manual"!==c.aspectmode)throw new Error("scene.js aspectRatio was not one of the enumerated types");var I=c.aspectratio;z=[I.x,I.y,I.z]}c.aspectratio.x=u.aspectratio.x=z[0],c.aspectratio.y=u.aspectratio.y=z[1],c.aspectratio.z=u.aspectratio.z=z[2],this.glplot.aspect=z;var D=c.domain||null,R=e._size||null;if(D&&R){var F=this.container.style;F.position="absolute",F.left=R.l+D.x[0]*R.w+"px",F.top=R.t+(1-D.y[1])*R.h+"px",F.width=R.w*(D.x[1]-D.x[0])+"px",F.height=R.h*(D.y[1]-D.y[0])+"px"}this.glplot.redraw()}},_.destroy=function(){this.glplot&&(this.camera.mouseListener.enabled=!1,this.container.removeEventListener("wheel",this.camera.wheelListener),this.camera=this.glplot.camera=null,this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null)},_.getCamera=function(){return this.glplot.camera.view.recalcMatrix(this.camera.view.lastT()),T(this.glplot.camera)},_.setCamera=function(t){var e;this.glplot.camera.lookAt.apply(this,[[(e=t).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]);var r="orthographic"===t.projection.type;if(r!==this.glplot.camera._ortho){this.glplot.redraw();var n=this.glplot.pixelRatio,i=this.glplot.clearColor;this.glplot.gl.clearColor(i[0],i[1],i[2],i[3]),this.glplot.gl.clear(this.glplot.gl.DEPTH_BUFFER_BIT|this.glplot.gl.COLOR_BUFFER_BIT),this.glplot.dispose(),x(this,n),this.glplot.camera._ortho=r}},_.saveCamera=function(t){var e=this.fullLayout,r=this.getCamera(),n=u.nestedProperty(t,this.id+".camera"),i=n.get(),a=!1;function o(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]]}if(void 0===i)a=!0;else{for(var s=0;s<3;s++)for(var l=0;l<3;l++)if(!o(r,i,s,l)){a=!0;break}(!i.projection||r.projection&&r.projection.type!==i.projection.type)&&(a=!0)}if(a){var h={};h[this.id+".camera"]=i,c.call("_storeDirectGUIEdit",t,e._preGUI,h),n.set(r),u.nestedProperty(e,this.id+".camera").set(r)}return a},_.updateFx=function(t,e){var r=this.camera;if(r)if("orbit"===t)r.mode="orbit",r.keyBindingMode="rotate";else if("turntable"===t){r.up=[0,0,1],r.mode="turntable",r.keyBindingMode="rotate";var n=this.graphDiv,i=n._fullLayout,a=this.fullSceneLayout.camera,o=a.up.x,s=a.up.y,l=a.up.z;if(l/Math.sqrt(o*o+s*s+l*l)<.999){var h=this.id+".camera.up",f={x:0,y:0,z:1},p={};p[h]=f;var d=n.layout;c.call("_storeDirectGUIEdit",d,i._preGUI,p),a.up=f,u.nestedProperty(d,h).set(f)}}else r.keyBindingMode=t;this.fullSceneLayout.hovermode=e},_.toImage=function(t){t||(t="png"),this.staticMode&&this.container.appendChild(n),this.glplot.redraw();var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=a[4*(r*o+l)+c];a[4*(r*o+l)+c]=a[4*(r*s+l)+c],a[4*(r*s+l)+c]=u}var h=document.createElement("canvas");h.width=r,h.height=i;var f,p=h.getContext("2d"),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case"jpeg":f=h.toDataURL("image/jpeg");break;case"webp":f=h.toDataURL("image/webp");break;default:f=h.toDataURL("image/png")}return this.staticMode&&this.container.removeChild(n),f},_.setConvert=function(){for(var t=0;t<3;t++){var e=this.fullSceneLayout[w[t]];h.setConvert(e,this.fullLayout),e.setScale=u.noop}},_.make4thDimension=function(){var 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e=this.map,r=t[this.id];e.setCenter(x(r.center)),e.setZoom(r.zoom),e.setBearing(r.bearing),e.setPitch(r.pitch),this.updateLayers(t),this.updateFramework(t),this.updateFx(t),this.map.resize(),this.gd._context._scrollZoom.mapbox?e.scrollZoom.enable():e.scrollZoom.disable()},g.resolveOnRender=function(t){var e=this.map;e.on("render",function r(){e.loaded()&&(e.off("render",r),setTimeout(t,0))})},g.rejectOnError=function(t){var e=this.map;function r(){t(new Error(f.mapOnErrorMsg))}e.once("error",r),e.once("style.error",r),e.once("source.error",r),e.once("tile.error",r),e.once("layer.error",r)},g.createFramework=function(t){var e=this,r=e.div=document.createElement("div");r.id=e.uid,r.style.position="absolute",e.container.appendChild(r),e.xaxis={_id:"x",c2p:function(t){return e.project(t).x}},e.yaxis={_id:"y",c2p:function(t){return e.project(t).y}},e.updateFramework(t),e.mockAxis={type:"linear",showexponent:"all",exponentformat:"B"},l.setConvert(e.mockAxis,t)},g.initFx=function(t,e){var r=this,n=r.gd,i=r.map,o=!1;function l(){a.loneUnhover(e._hoverlayer)}function c(){var t=r.getView();n.emit("plotly_relayouting",r.getViewEdits(t))}i.on("moveend",function(t){if(r.map){var e=n._fullLayout;if(t.originalEvent||o){var i=e[r.id];s.call("_storeDirectGUIEdit",n.layout,e._preGUI,r.getViewEdits(i));var a=r.getView();i._input.center=i.center=a.center,i._input.zoom=i.zoom=a.zoom,i._input.bearing=i.bearing=a.bearing,i._input.pitch=i.pitch=a.pitch,n.emit("plotly_relayout",r.getViewEdits(a))}o=!1,e._rehover&&e._rehover()}}),i.on("wheel",function(){o=!0}),i.on("mousemove",function(t){var e=r.div.getBoundingClientRect();t.clientX=t.point.x+e.left,t.clientY=t.point.y+e.top,t.target.getBoundingClientRect=function(){return e},r.xaxis.p2c=function(){return t.lngLat.lng},r.yaxis.p2c=function(){return 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e=t.editType;return{t:{valType:"number",dflt:0,editType:e},r:{valType:"number",dflt:0,editType:e},b:{valType:"number",dflt:0,editType:e},l:{valType:"number",dflt:0,editType:e},editType:e}}},{}],828:[function(t,e,r){"use strict";var n=t("d3"),i=t("fast-isnumeric"),a=t("../registry"),o=t("../plot_api/plot_schema"),s=t("../plot_api/plot_template"),l=t("../lib"),c=t("../components/color"),u=t("../constants/numerical").BADNUM,h=t("./cartesian/axis_ids"),f=t("./animation_attributes"),p=t("./frame_attributes"),d=l.relinkPrivateKeys,g=l._,v=e.exports={};l.extendFlat(v,a),v.attributes=t("./attributes"),v.attributes.type.values=v.allTypes,v.fontAttrs=t("./font_attributes"),v.layoutAttributes=t("./layout_attributes"),v.fontWeight="normal";var m=v.transformsRegistry,y=t("./command");v.executeAPICommand=y.executeAPICommand,v.computeAPICommandBindings=y.computeAPICommandBindings,v.manageCommandObserver=y.manageCommandObserver,v.hasSimpleAPICommandBindings=y.hasSimpleAPICommandBindings,v.redrawText=function(t){var e=(t=l.getGraphDiv(t))._fullLayout||{};if(!(!(e._has&&e._has("polar"))&&t.data&&t.data[0]&&t.data[0].r))return new Promise(function(e){setTimeout(function(){a.getComponentMethod("annotations","draw")(t),a.getComponentMethod("legend","draw")(t),a.getComponentMethod("colorbar","draw")(t),e(v.previousPromises(t))},300)})},v.resize=function(t){return t=l.getGraphDiv(t),new Promise(function(e,r){t&&!l.isHidden(t)||r(new Error("Resize must be passed a displayed plot div element.")),t._redrawTimer&&clearTimeout(t._redrawTimer),t._redrawTimer=setTimeout(function(){if(!t.layout||t.layout.width&&t.layout.height||l.isHidden(t))e(t);else{delete t.layout.width,delete t.layout.height;var 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o.PolyChart()},o.DotPlot.defaultConfig=function(){return{geometryConfig:{geometryType:"dot",dotType:"circle"}}},o.LinePlot=function(){return o.PolyChart()},o.LinePlot.defaultConfig=function(){return{geometryConfig:{geometryType:"line"}}},o.Legend=function(){var t=o.Legend.defaultConfig(),e=n.dispatch("hover");function r(){var e=t.legendConfig,a=t.data.map(function(t,r){return[].concat(t).map(function(t,n){var a=i({},e.elements[r]);return a.name=t,a.color=[].concat(e.elements[r].color)[n],a})}),o=n.merge(a);o=o.filter(function(t,r){return e.elements[r]&&(e.elements[r].visibleInLegend||"undefined"==typeof e.elements[r].visibleInLegend)}),e.reverseOrder&&(o=o.reverse());var s=e.container;("string"==typeof s||s.nodeName)&&(s=n.select(s));var l=o.map(function(t,e){return t.color}),c=e.fontSize,u=null==e.isContinuous?"number"==typeof 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n.geometry):("scatter"===n.type?"lines"===n.mode?n.geometry="LinePlot":"markers"===n.mode?n.geometry="DotPlot":"lines+markers"===n.mode&&(n.geometry="LinePlot",n.dotVisible=!0):"area"===n.type?n.geometry="AreaChart":"bar"===n.type&&(n.geometry="BarChart"),delete n.mode,delete n.type),n}),!e&&t.layout&&"stack"===t.layout.barmode)){var a=o.util.duplicates(r.data.map(function(t,e){return t.geometry}));r.data.forEach(function(t,e){var n=a.indexOf(t.geometry);-1!=n&&(r.data[e].groupId=n)})}if(t.layout){var s=i({},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?("undefined"!=typeof s.tickLength&&(s.angularaxis.ticklen=s.tickLength,delete s.tickLength),s.tickColor&&(s.angularaxis.tickcolor=s.tickColor,delete s.tickColor)):(s.angularAxis&&"undefined"!=typeof s.angularAxis.ticklen&&(s.tickLength=s.angularAxis.ticklen),s.angularAxis&&"undefined"!=typeof s.angularAxis.tickcolor&&(s.tickColor=s.angularAxis.tickcolor)),s.legend&&"boolean"!=typeof s.legend.reverseOrder&&(s.legend.reverseOrder="normal"!=s.legend.reverseOrder),s.legend&&"boolean"==typeof s.legend.traceorder&&(s.legend.traceorder=s.legend.traceorder?"reversed":"normal",delete s.legend.reverseOrder),s.margin&&"undefined"!=typeof s.margin.t){var l=["t","r","b","l","pad"],c=["top","right","bottom","left","pad"],u={};n.entries(s.margin).forEach(function(t,e){u[c[l.indexOf(t.key)]]=t.value}),s.margin=u}e&&(delete s.needsEndSpacing,delete s.minorTickColor,delete s.minorTicks,delete s.angularaxis.ticksCount,delete s.angularaxis.ticksCount,delete s.angularaxis.ticksStep,delete s.angularaxis.rewriteTicks,delete s.angularaxis.nticks,delete s.radialaxis.ticksCount,delete s.radialaxis.ticksCount,delete s.radialaxis.ticksStep,delete s.radialaxis.rewriteTicks,delete s.radialaxis.nticks),r.layout=s}return r}};return t}},{"../../../constants/alignment":688,"../../../lib":719,d3:163}],838:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../../lib"),a=t("../../../components/color"),o=t("./micropolar"),s=t("./undo_manager"),l=i.extendDeepAll,c=e.exports={};c.framework=function(t){var e,r,i,a,u,h=new s;function f(r,s){return s&&(u=s),n.select(n.select(u).node().parentNode).selectAll(".svg-container>*:not(.chart-root)").remove(),e=e?l(e,r):r,i||(i=o.Axis()),a=o.adapter.plotly().convert(e),i.config(a).render(u),t.data=e.data,t.layout=e.layout,c.fillLayout(t),e}return f.isPolar=!0,f.svg=function(){return i.svg()},f.getConfig=function(){return e},f.getLiveConfig=function(){return o.adapter.plotly().convert(i.getLiveConfig(),!0)},f.getLiveScales=function(){return{t:i.angularScale(),r:i.radialScale()}},f.setUndoPoint=function(){var t,n,i=this,a=o.util.cloneJson(e);t=a,n=r,h.add({undo:function(){n&&i(n)},redo:function(){i(t)}}),r=o.util.cloneJson(a)},f.undo=function(){h.undo()},f.redo=function(){h.redo()},f},c.fillLayout=function(t){var e=n.select(t).selectAll(".plot-container"),r=e.selectAll(".svg-container"),i=t.framework&&t.framework.svg&&t.framework.svg(),o={width:800,height:600,paper_bgcolor:a.background,_container:e,_paperdiv:r,_paper:i};t._fullLayout=l(o,t.layout)}},{"../../../components/color":593,"../../../lib":719,"./micropolar":837,"./undo_manager":839,d3:163}],839:[function(t,e,r){"use strict";e.exports=function(){var t,e=[],r=-1,n=!1;function i(t,e){return t?(n=!0,t[e](),n=!1,this):this}return{add:function(t){return n?this:(e.splice(r+1,e.length-r),e.push(t),r=e.length-1,this)},setCallback:function(e){t=e},undo:function(){var n=e[r];return 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n=t("d3"),i=t("tinycolor2"),a=t("../../registry"),o=t("../../lib"),s=t("../../components/color"),l=t("../../components/drawing"),c=t("../plots"),u=t("../../plots/cartesian/axes"),h=t("../cartesian/set_convert"),f=t("./set_convert"),p=t("../cartesian/autorange").doAutoRange,d=t("../cartesian/dragbox"),g=t("../../components/dragelement"),v=t("../../components/fx"),m=t("../../components/titles"),y=t("../cartesian/select").prepSelect,x=t("../cartesian/select").selectOnClick,b=t("../cartesian/select").clearSelect,_=t("../../lib/setcursor"),w=t("../../lib/clear_gl_canvases"),k=t("../../plot_api/subroutines").redrawReglTraces,T=t("../../constants/alignment").MID_SHIFT,A=t("./constants"),M=t("./helpers"),S=o._,E=o.mod,C=o.deg2rad,L=o.rad2deg;function P(t,e){this.id=e,this.gd=t,this._hasClipOnAxisFalse=null,this.vangles=null,this.radialAxisAngle=null,this.traceHash={},this.layers={},this.clipPaths={},this.clipIds={},this.viewInitial={};var r=t._fullLayout,n="clip"+r._uid+e;this.clipIds.forTraces=n+"-for-traces",this.clipPaths.forTraces=r._clips.append("clipPath").attr("id",this.clipIds.forTraces),this.clipPaths.forTraces.append("path"),this.framework=r._polarlayer.append("g").attr("class",e),this.radialTickLayout=null,this.angularTickLayout=null}var O=P.prototype;function z(t){var e=t.ticks+String(t.ticklen)+String(t.showticklabels);return"side"in t&&(e+=t.side),e}function I(t,e){return e[o.findIndexOfMin(e,function(e){return o.angleDist(t,e)})]}function D(t,e,r){return e?(t.attr("display",null),t.attr(r)):t&&t.attr("display","none"),t}function R(t,e){return"translate("+t+","+e+")"}function F(t){return"rotate("+t+")"}e.exports=function(t,e){return new P(t,e)},O.plot=function(t,e){var r=e[this.id];this._hasClipOnAxisFalse=!1;for(var 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e=r[t]=n.select(this);switch(t){case"frontplot":e.append("g").classed("barlayer",!0),e.append("g").classed("scatterlayer",!0);break;case"backplot":e.append("g").classed("maplayer",!0);break;case"plotbg":r.bg=e.append("path");break;case"radial-grid":case"angular-grid":e.style("fill","none");break;case"radial-line":e.append("line").style("fill","none");break;case"angular-line":e.append("path").style("fill","none")}}),h.order()},O.updateLayout=function(t,e){var r=this.layers,n=t._size,i=e.radialaxis,a=e.angularaxis,o=e.domain.x,c=e.domain.y;this.xOffset=n.l+n.w*o[0],this.yOffset=n.t+n.h*(1-c[1]);var u=this.xLength=n.w*(o[1]-o[0]),h=this.yLength=n.h*(c[1]-c[0]),f=e.sector;this.sectorInRad=f.map(C);var p,d,g,v,m,y=this.sectorBBox=function(t){var e,r,n,i,a=t[0],o=t[1]-a,s=E(a,360),l=s+o,c=Math.cos(C(s)),u=Math.sin(C(s)),h=Math.cos(C(l)),f=Math.sin(C(l));i=s<=90&&l>=90||s>90&&l>=450?1:u<=0&&f<=0?0:Math.max(u,f);e=s<=180&&l>=180||s>180&&l>=540?-1:c>=0&&h>=0?0:Math.min(c,h);r=s<=270&&l>=270||s>270&&l>=630?-1:u>=0&&f>=0?0:Math.min(u,f);n=l>=360?1:c<=0&&h<=0?0:Math.max(c,h);return[e,r,n,i]}(f),x=y[2]-y[0],b=y[3]-y[1],_=h/u,w=Math.abs(b/x);_>w?(p=u,m=(h-(d=u*w))/n.h/2,g=[o[0],o[1]],v=[c[0]+m,c[1]-m]):(d=h,m=(u-(p=h/w))/n.w/2,g=[o[0]+m,o[1]-m],v=[c[0],c[1]]),this.xLength2=p,this.yLength2=d,this.xDomain2=g,this.yDomain2=v;var k=this.xOffset2=n.l+n.w*g[0],T=this.yOffset2=n.t+n.h*(1-v[1]),A=this.radius=p/x,M=this.innerRadius=e.hole*A,S=this.cx=k-A*y[0],L=this.cy=T+A*y[3],P=this.cxx=S-k,O=this.cyy=L-T;this.radialAxis=this.mockAxis(t,e,i,{_id:"x",side:{counterclockwise:"top",clockwise:"bottom"}[i.side],domain:[M/n.w,A/n.w]}),this.angularAxis=this.mockAxis(t,e,a,{side:"right",domain:[0,Math.PI],autorange:!1}),this.doAutoRange(t,e),this.updateAngularAxis(t,e),this.updateRadialAxis(t,e),this.updateRadialAxisTitle(t,e),this.xaxis=this.mockCartesianAxis(t,e,{_id:"x",domain:g}),this.yaxis=this.mockCartesianAxis(t,e,{_id:"y",domain:v});var z=this.pathSubplot();this.clipPaths.forTraces.select("path").attr("d",z).attr("transform",R(P,O)),r.frontplot.attr("transform",R(k,T)).call(l.setClipUrl,this._hasClipOnAxisFalse?null:this.clipIds.forTraces,this.gd),r.bg.attr("d",z).attr("transform",R(S,L)).call(s.fill,e.bgcolor)},O.mockAxis=function(t,e,r,n){var i=o.extendFlat({anchor:"free",position:0},r,n);return 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v=function(t){return"translate("+(d.l2p(t.x)+l)+",0)"},m=z(f);if(r.radialTickLayout!==m&&(i["radial-axis"].selectAll(".xtick").remove(),r.radialTickLayout=m),g){d.setScale();var y=u.calcTicks(d),x=u.clipEnds(d,y),b=u.getTickSigns(d)[2];u.drawTicks(n,d,{vals:y,layer:i["radial-axis"],path:u.makeTickPath(d,0,b),transFn:v,crisp:!1}),u.drawGrid(n,d,{vals:x,layer:i["radial-grid"],path:function(t){return r.pathArc(d.r2p(t.x)+l)},transFn:o.noop,crisp:!1}),u.drawLabels(n,d,{vals:y,layer:i["radial-axis"],transFn:v,labelFns:u.makeLabelFns(d,0)})}var _=r.radialAxisAngle=r.vangles?L(I(C(f.angle),r.vangles)):f.angle,w=R(c,h),k=w+F(-_);D(i["radial-axis"],g&&(f.showticklabels||f.ticks),{transform:k}),D(i["radial-grid"],g&&f.showgrid,{transform:w}),D(i["radial-line"].select("line"),g&&f.showline,{x1:l,y1:0,x2:a,y2:0,transform:k}).attr("stroke-width",f.linewidth).call(s.stroke,f.linecolor)},O.updateRadialAxisTitle=function(t,e,r){var n=this.gd,i=this.radius,a=this.cx,o=this.cy,s=e.radialaxis,c=this.id+"title",u=void 0!==r?r:this.radialAxisAngle,h=C(u),f=Math.cos(h),p=Math.sin(h),d=0;if(s.title){var g=l.bBox(this.layers["radial-axis"].node()).height,v=s.title.font.size;d="counterclockwise"===s.side?-g-.4*v:g+.8*v}this.layers["radial-axis-title"]=m.draw(n,c,{propContainer:s,propName:this.id+".radialaxis.title",placeholder:S(n,"Click to enter radial axis title"),attributes:{x:a+i/2*f+d*p,y:o-i/2*p+d*f,"text-anchor":"middle"},transform:{rotate:-u}})},O.updateAngularAxis=function(t,e){var r=this,n=r.gd,i=r.layers,a=r.radius,l=r.innerRadius,c=r.cx,h=r.cy,f=e.angularaxis,p=r.angularAxis;r.fillViewInitialKey("angularaxis.rotation",f.rotation),p.setGeometry(),p.setScale();var d=function(t){return p.t2g(t.x)};"linear"===p.type&&"radians"===p.thetaunit&&(p.tick0=L(p.tick0),p.dtick=L(p.dtick));var g=function(t){return R(c+a*Math.cos(t),h-a*Math.sin(t))},v=u.makeLabelFns(p,0).labelStandoff,m={xFn:function(t){var e=d(t);return 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i,a=t.cd[0].trace.hoveron,o=[];return-1!==a.indexOf("boxes")&&(o=o.concat(l(t,e,r,n))),-1!==a.indexOf("points")&&(i=c(t,e,r)),"closest"===n?i?[i]:o:i?(o.push(i),o):o},hoverOnBoxes:l,hoverOnPoints:c}},{"../../components/color":593,"../../components/fx":632,"../../lib":719,"../../plots/cartesian/axes":767}],886:[function(t,e,r){"use 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o,s,l=e.pos,c=e.val,u=a.bPos,h=a.wdPos||0,f=a.bPosPxOffset||0,p=r.whiskerwidth||0,d=r.notched||!1,g=d?1-2*r.notchwidth:1;Array.isArray(a.bdPos)?(o=a.bdPos[0],s=a.bdPos[1]):(o=a.bdPos,s=a.bdPos);var v=t.selectAll("path.box").data("violin"!==r.type||r.box.visible?i.identity:[]);v.enter().append("path").style("vector-effect","non-scaling-stroke").attr("class","box"),v.exit().remove(),v.each(function(t){if(t.empty)return"M0,0Z";var e=t.pos,a=l.c2p(e+u,!0)+f,v=l.c2p(e+u-o,!0)+f,m=l.c2p(e+u+s,!0)+f,y=l.c2p(e+u-h,!0)+f,x=l.c2p(e+u+h,!0)+f,b=l.c2p(e+u-o*g,!0)+f,_=l.c2p(e+u+s*g,!0)+f,w=c.c2p(t.q1,!0),k=c.c2p(t.q3,!0),T=i.constrain(c.c2p(t.med,!0),Math.min(w,k)+1,Math.max(w,k)-1),A=void 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p=t.selectAll("path.mean").data("box"===r.type&&r.boxmean||"violin"===r.type&&r.box.visible&&r.meanline.visible?i.identity:[]);p.enter().append("path").attr("class","mean").style({fill:"none","vector-effect":"non-scaling-stroke"}),p.exit().remove(),p.each(function(t){var e=l.c2p(t.pos+u,!0)+h,i=l.c2p(t.pos+u-o,!0)+h,a=l.c2p(t.pos+u+s,!0)+h,p=c.c2p(t.mean,!0),d=c.c2p(t.mean-t.sd,!0),g=c.c2p(t.mean+t.sd,!0);"h"===r.orientation?n.select(this).attr("d","M"+p+","+i+"V"+a+("sd"===f?"m0,0L"+d+","+e+"L"+p+","+i+"L"+g+","+e+"Z":"")):n.select(this).attr("d","M"+i+","+p+"H"+a+("sd"===f?"m0,0L"+e+","+d+"L"+i+","+p+"L"+e+","+g+"Z":""))})}e.exports={plot:function(t,e,r,a){var o=e.xaxis,s=e.yaxis;i.makeTraceGroups(a,r,"trace boxes").each(function(t){var 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l=s("locations"),c=s("z");l&&l.length&&n.isArrayOrTypedArray(c)&&c.length?(e._length=Math.min(l.length,c.length),s("locationmode"),s("text"),s("hovertext"),s("hovertemplate"),s("marker.line.width")&&s("marker.line.color"),s("marker.opacity"),i(t,e,o,s,{prefix:"",cLetter:"z"}),n.coerceSelectionMarkerOpacity(e,s)):e.visible=!1}},{"../../components/colorscale/defaults":603,"../../lib":719,"./attributes":923}],926:[function(t,e,r){"use strict";e.exports=function(t,e,r,n,i){t.location=e.location,t.z=e.z;var a=n[i];return a.fIn&&(t.properties=a.fIn.properties),t}},{}],927:[function(t,e,r){"use strict";var n=t("../../plots/cartesian/axes"),i=t("./attributes"),a=t("../../lib").fillText;e.exports=function(t,e,r){var o,s,l,c,u=t.cd,h=u[0].trace,f=t.subplot;for(s=0;s<u.length;s++)if(c=!1,(o=u[s])._polygons){for(l=0;l<o._polygons.length;l++)o._polygons[l].contains([e,r])&&(c=!c),o._polygons[l].contains([e+360,r])&&(c=!c);if(c)break}if(c&&o)return t.x0=t.x1=t.xa.c2p(o.ct),t.y0=t.y1=t.ya.c2p(o.ct),t.index=o.index,t.location=o.loc,t.z=o.z,t.zLabel=n.tickText(f.mockAxis,f.mockAxis.c2l(o.z),"hover").text,t.hovertemplate=o.hovertemplate,function(t,e,r){if(e.hovertemplate)return;var n=r.hi||e.hoverinfo,o="all"===n?i.hoverinfo.flags:n.split("+"),s=-1!==o.indexOf("name"),l=-1!==o.indexOf("location"),c=-1!==o.indexOf("z"),u=-1!==o.indexOf("text"),h=[];!s&&l?t.nameOverride=r.loc:(s&&(t.nameOverride=e.name),l&&h.push(r.loc));c&&h.push(t.zLabel);u&&a(r,e,h);t.extraText=h.join("<br>")}(t,h,o,f.mockAxis),[t]}},{"../../lib":719,"../../plots/cartesian/axes":767,"./attributes":923}],928:[function(t,e,r){"use 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r=n.select(this).selectAll("path.choroplethlocation").data(i.identity);r.enter().append("path").classed("choroplethlocation",!0),r.exit().remove(),l(t,e)})},feature2polygons:u}},{"../../lib":719,"../../lib/geo_location_utils":713,"../../lib/polygon":731,"../../lib/topojson_utils":746,"./style":931,d3:163}],930:[function(t,e,r){"use strict";e.exports=function(t,e){var r,n,i,a,o,s=t.cd,l=t.xaxis,c=t.yaxis,u=[];if(!1===e)for(r=0;r<s.length;r++)s[r].selected=0;else for(r=0;r<s.length;r++)(i=(n=s[r]).ct)&&(a=l.c2p(i),o=c.c2p(i),e.contains([a,o],null,r,t)?(u.push({pointNumber:r,lon:i[0],lat:i[1]}),n.selected=1):n.selected=0);return u}},{}],931:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../components/color"),a=t("../../components/drawing"),o=t("../../components/colorscale");function s(t,e){var 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n=t("../choropleth/attributes"),i=t("../../components/colorscale/attributes"),a=t("../../components/fx/hovertemplate_attributes"),o=t("../../lib/extend").extendFlat;e.exports=o({locations:{valType:"data_array",editType:"calc"},z:{valType:"data_array",editType:"calc"},geojson:{valType:"any",editType:"calc"},below:{valType:"string",editType:"plot"},text:n.text,hovertext:n.hovertext,marker:{line:{color:o({},n.marker.line.color,{editType:"plot"}),width:o({},n.marker.line.width,{editType:"plot"}),editType:"calc"},opacity:o({},n.marker.opacity,{editType:"plot"}),editType:"calc"},selected:{marker:{opacity:o({},n.selected.marker.opacity,{editType:"plot"}),editType:"plot"},editType:"plot"},unselected:{marker:{opacity:o({},n.unselected.marker.opacity,{editType:"plot"}),editType:"plot"},editType:"plot"},hoverinfo:n.hoverinfo,hovertemplate:a({},{keys:["properties"]})},i("",{cLetter:"z",editTypeOverride:"calc"}))},{"../../components/colorscale/attributes":600,"../../components/fx/hovertemplate_attributes":631,"../../lib/extend":710,"../choropleth/attributes":923}],933:[function(t,e,r){"use 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o.extendFlat(l.paint,{"fill-color":{type:"identity",property:"fc"},"fill-opacity":E}),o.extendFlat(f.paint,{"line-color":b?{type:"identity",property:"mlc"}:T.color,"line-width":_?{type:"identity",property:"mlw"}:T.width,"line-opacity":E}),l.layout.visibility="visible",f.layout.visibility="visible",p.geojson={type:"FeatureCollection",features:m},h(t),p},convertOnSelect:h}},{"../../components/colorscale":605,"../../components/drawing":614,"../../lib":719,"../../lib/geojson_utils":714,"../choropleth/plot":929,"@turf/area":55,"@turf/centroid":56,"fast-isnumeric":225}],934:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/colorscale/defaults"),a=t("./attributes");e.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var l=s("locations"),c=s("z"),u=s("geojson");n.isArrayOrTypedArray(l)&&l.length&&n.isArrayOrTypedArray(c)&&c.length&&("string"==typeof u&&""!==u||n.isPlainObject(u))?(e._length=Math.min(l.length,c.length),s("below"),s("text"),s("hovertext"),s("hovertemplate"),s("marker.line.width")&&s("marker.line.color"),s("marker.opacity"),i(t,e,o,s,{prefix:"",cLetter:"z"}),n.coerceSelectionMarkerOpacity(e,s)):e.visible=!1}},{"../../components/colorscale/defaults":603,"../../lib":719,"./attributes":932}],935:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),colorbar:t("../heatmap/colorbar"),calc:t("../choropleth/calc"),plot:t("./plot"),hoverPoints:t("../choropleth/hover"),eventData:t("../choropleth/event_data"),selectPoints:t("../choropleth/select"),styleOnSelect:function(t,e){e&&e[0].trace._glTrace.updateOnSelect(e)},getBelow:function(t,e){for(var r=e.getMapLayers(),n=r.length-2;n>=0;n--){var i=r[n].id;if("string"==typeof i&&0===i.indexOf("water"))for(var a=n+1;a<r.length;a++)if("string"==typeof(i=r[a].id)&&-1===i.indexOf("plotly-"))return i}},moduleType:"trace",name:"choroplethmapbox",basePlotModule:t("../../plots/mapbox"),categories:["mapbox","gl","noOpacity"],meta:{hr_name:"choropleth_mapbox"}}},{"../../plots/mapbox":822,"../choropleth/calc":924,"../choropleth/event_data":926,"../choropleth/hover":927,"../choropleth/select":930,"../heatmap/colorbar":1004,"./attributes":932,"./defaults":934,"./plot":936}],936:[function(t,e,r){"use strict";var n=t("./convert").convert,i=t("./convert").convertOnSelect,a=t("../../plots/mapbox/constants").traceLayerPrefix;function o(t,e){this.subplot=t,this.uid=e,this.sourceId="source-"+e,this.layerList=[["fill",a+e+"-fill"],["line",a+e+"-line"]],this.below=null}var s=o.prototype;s.update=function(t){this._update(n(t))},s.updateOnSelect=function(t){this._update(i(t))},s._update=function(t){var e=this.subplot,r=this.layerList,n=e.belowLookup["trace-"+this.uid];e.map.getSource(this.sourceId).setData(t.geojson),n!==this.below&&(this._removeLayers(),this._addLayers(t,n),this.below=n);for(var i=0;i<r.length;i++){var a=r[i],o=a[0],s=a[1],l=t[o];e.setOptions(s,"setLayoutProperty",l.layout),"visible"===l.layout.visibility&&e.setOptions(s,"setPaintProperty",l.paint)}},s._addLayers=function(t,e){for(var r=this.subplot,n=this.layerList,i=this.sourceId,a=0;a<n.length;a++){var o=n[a],s=o[0],l=t[s];r.addLayer({type:s,id:o[1],source:i,layout:l.layout,paint:l.paint},e)}},s._removeLayers=function(){for(var t=this.subplot.map,e=this.layerList,r=e.length-1;r>=0;r--)t.removeLayer(e[r][1])},s.dispose=function(){var t=this.subplot.map;this._removeLayers(),t.removeSource(this.sourceId)},e.exports=function(t,e){var r=e[0].trace,i=new o(t,r.uid),a=i.sourceId,s=n(e),l=i.below=t.belowLookup["trace-"+r.uid];return t.map.addSource(a,{type:"geojson",data:s.geojson}),i._addLayers(s,l),e[0].trace._glTrace=i,i}},{"../../plots/mapbox/constants":820,"./convert":933}],937:[function(t,e,r){"use strict";var n=t("../../components/colorscale/attributes"),i=t("../../components/fx/hovertemplate_attributes"),a=t("../mesh3d/attributes"),o=t("../../plots/attributes"),s=t("../../lib/extend").extendFlat,l={x:{valType:"data_array",editType:"calc+clearAxisTypes"},y:{valType:"data_array",editType:"calc+clearAxisTypes"},z:{valType:"data_array",editType:"calc+clearAxisTypes"},u:{valType:"data_array",editType:"calc"},v:{valType:"data_array",editType:"calc"},w:{valType:"data_array",editType:"calc"},sizemode:{valType:"enumerated",values:["scaled","absolute"],editType:"calc",dflt:"scaled"},sizeref:{valType:"number",editType:"calc",min:0},anchor:{valType:"enumerated",editType:"calc",values:["tip","tail","cm","center"],dflt:"cm"},text:{valType:"string",dflt:"",arrayOk:!0,editType:"calc"},hovertext:{valType:"string",dflt:"",arrayOk:!0,editType:"calc"},hovertemplate:i({editType:"calc"},{keys:["norm"]})};s(l,n("",{colorAttr:"u/v/w 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n=t("gl-cone3d"),i=t("gl-cone3d").createConeMesh,a=t("../../lib").simpleMap,o=t("../../lib/gl_format_color").parseColorScale,s=t("../../components/colorscale").extractOpts,l=t("../../plots/gl3d/zip3");function c(t,e){this.scene=t,this.uid=e,this.mesh=null,this.data=null}var u=c.prototype;u.handlePick=function(t){if(t.object===this.mesh){var e=t.index=t.data.index,r=this.data.x[e],n=this.data.y[e],i=this.data.z[e],a=this.data.u[e],o=this.data.v[e],s=this.data.w[e];t.traceCoordinate=[r,n,i,a,o,s,Math.sqrt(a*a+o*o+s*s)];var l=this.data.hovertext||this.data.text;return Array.isArray(l)&&void 0!==l[e]?t.textLabel=l[e]:l&&(t.textLabel=l),!0}};var h={xaxis:0,yaxis:1,zaxis:2},f={tip:1,tail:0,cm:.25,center:.5},p={tip:1,tail:1,cm:.75,center:.5};function d(t,e){var r=t.fullSceneLayout,i=t.dataScale,c={};function u(t,e){var n=r[e],o=i[h[e]];return a(t,function(t){return 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n=t("../../components/colorscale/defaults"),i=t("./label_defaults");e.exports=function(t,e,r,a,o){var s,l=r("contours.coloring"),c="";"fill"===l&&(s=r("contours.showlines")),!1!==s&&("lines"!==l&&(c=r("line.color","#000")),r("line.width",.5),r("line.dash")),"none"!==l&&(!0!==t.showlegend&&(e.showlegend=!1),e._dfltShowLegend=!1,n(t,e,a,r,{prefix:"",cLetter:"z"})),r("line.smoothing"),i(r,a,c,o)}},{"../../components/colorscale/defaults":603,"./label_defaults":957}],964:[function(t,e,r){"use strict";var n=t("../heatmap/attributes"),i=t("../contour/attributes"),a=i.contours,o=t("../scatter/attributes"),s=t("../../components/colorscale/attributes"),l=t("../../lib/extend").extendFlat,c=o.line;e.exports=l({carpet:{valType:"string",editType:"calc"},z:n.z,a:n.x,a0:n.x0,da:n.dx,b:n.y,b0:n.y0,db:n.dy,text:n.text,hovertext:n.hovertext,transpose:n.transpose,atype:n.xtype,btype:n.ytype,fillcolor:i.fillcolor,autocontour:i.autocontour,ncontours:i.ncontours,contours:{type:a.type,start:a.start,end:a.end,size:a.size,coloring:{valType:"enumerated",values:["fill","lines","none"],dflt:"fill",editType:"calc"},showlines:a.showlines,showlabels:a.showlabels,labelfont:a.labelfont,labelformat:a.labelformat,operation:a.operation,value:a.value,editType:"calc",impliedEdits:{autocontour:!1}},line:{color:l({},c.color,{}),width:c.width,dash:c.dash,smoothing:l({},c.smoothing,{}),editType:"plot"},transforms:void 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n=t("../../lib/extend").extendFlat,i=t("../../lib/extend").extendDeep,a=t("../../plot_api/edit_types").overrideAll,o=t("../../plots/font_attributes"),s=t("../../components/color/attributes"),l=t("../../plots/domain").attributes,c=t("../../plots/cartesian/layout_attributes"),u=t("../../plot_api/plot_template").templatedArray,h=t("../../constants/delta.js"),f=(t("../../constants/docs").FORMAT_LINK,o({editType:"plot",colorEditType:"plot"})),p={color:{valType:"color",editType:"plot"},line:{color:{valType:"color",dflt:s.defaultLine,editType:"plot"},width:{valType:"number",min:0,dflt:0,editType:"plot"},editType:"calc"},thickness:{valType:"number",min:0,max:1,dflt:1,editType:"plot"},editType:"calc"},d={valType:"info_array",items:[{valType:"number",editType:"plot"},{valType:"number",editType:"plot"}],editType:"plot"},g=u("step",i({},p,{range:d}));e.exports={mode:{valType:"flaglist",editType:"calc",flags:["number","delta","gauge"],dflt:"number"},value:{valType:"number",editType:"calc",anim:!0},align:{valType:"enumerated",values:["left","center","right"],editType:"plot"},domain:l({name:"indicator",trace:!0,editType:"calc"}),title:{text:{valType:"string",editType:"plot"},align:{valType:"enumerated",values:["left","center","right"],editType:"plot"},font:n({},f,{}),editType:"plot"},number:{valueformat:{valType:"string",dflt:"",editType:"plot"},font:n({},f,{}),prefix:{valType:"string",dflt:"",editType:"plot"},suffix:{valType:"string",dflt:"",editType:"plot"},editType:"plot"},delta:{reference:{valType:"number",editType:"calc"},position:{valType:"enumerated",values:["top","bottom","left","right"],dflt:"bottom",editType:"plot"},relative:{valType:"boolean",editType:"plot",dflt:!1},valueformat:{valType:"string",editType:"plot"},increasing:{symbol:{valType:"string",dflt:h.INCREASING.SYMBOL,editType:"plot"},color:{valType:"color",dflt:h.INCREASING.COLOR,editType:"plot"},editType:"plot"},decreasing:{symbol:{valType:"string",dflt:h.DECREASING.SYMBOL,editType:"plot"},color:{valType:"color",dflt:h.DECREASING.COLOR,editType:"plot"},editType:"plot"},font:n({},f,{}),editType:"calc"},gauge:{shape:{valType:"enumerated",editType:"plot",dflt:"angular",values:["angular","bullet"]},bar:i({},p,{color:{dflt:"green"}}),bgcolor:{valType:"color",editType:"plot"},bordercolor:{valType:"color",dflt:s.defaultLine,editType:"plot"},borderwidth:{valType:"number",min:0,dflt:1,editType:"plot"},axis:a({range:d,visible:n({},c.visible,{dflt:!0}),tickmode:c.tickmode,nticks:c.nticks,tick0:c.tick0,dtick:c.dtick,tickvals:c.tickvals,ticktext:c.ticktext,ticks:n({},c.ticks,{dflt:"outside"}),ticklen:c.ticklen,tickwidth:c.tickwidth,tickcolor:c.tickcolor,showticklabels:c.showticklabels,tickfont:o({}),tickangle:c.tickangle,tickformat:c.tickformat,tickformatstops:c.tickformatstops,tickprefix:c.tickprefix,showtickprefix:c.showtickprefix,ticksuffix:c.ticksuffix,showticksuffix:c.showticksuffix,separatethousands:c.separatethousands,exponentformat:c.exponentformat,showexponent:c.showexponent,editType:"plot"},"plot"),steps:g,threshold:{line:{color:n({},p.line.color,{}),width:n({},p.line.width,{dflt:1}),editType:"plot"},thickness:n({},p.thickness,{dflt:.85}),value:{valType:"number",editType:"calc",dflt:!1},editType:"plot"},editType:"plot"}}},{"../../components/color/attributes":592,"../../constants/delta.js":689,"../../constants/docs":690,"../../lib/extend":710,"../../plot_api/edit_types":750,"../../plot_api/plot_template":757,"../../plots/cartesian/layout_attributes":779,"../../plots/domain":792,"../../plots/font_attributes":793}],1042:[function(t,e,r){"use 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h,A,M,S,E,C=e[0].trace,L=n.select(this),P=C._hasGauge,O=C._isAngular,z=C._isBullet,I=C.domain,D={w:p._size.w*(I.x[1]-I.x[0]),h:p._size.h*(I.y[1]-I.y[0]),l:p._size.l+p._size.w*I.x[0],r:p._size.r+p._size.w*(1-I.x[1]),t:p._size.t+p._size.h*(1-I.y[1]),b:p._size.b+p._size.h*I.y[0]},R=D.l+D.w/2,F=D.t+D.h/2,B=Math.min(D.w/2,D.h),N=l.innerRadius*B,j=C.align||"center";if(A=F,P){if(O&&(h=R,A=F+B/2,M=function(t){return e=t,r=.9*N,n=Math.sqrt(e.width/2*(e.width/2)+e.height*e.height),[r/n,e,r];var e,r,n}),z){var U=l.bulletPadding,V=1-l.bulletNumberDomainSize+U;h=D.l+(V+(1-V)*v[j])*D.w,M=function(t){return w(t,(l.bulletNumberDomainSize-U)*D.w,D.h)}}}else h=D.l+v[j]*D.w,M=function(t){return w(t,D.w,D.h)};!function(t,e,r,a){var o,l,h,f=r[0].trace,p=a.numbersX,x=a.numbersY,w=f.align||"center",A=g[w],M=a.transitionOpts,S=a.onComplete,E=i.ensureSingle(e,"g","numbers"),C=[];f._hasNumber&&C.push("number");f._hasDelta&&(C.push("delta"),"left"===f.delta.position&&C.reverse());var L=E.selectAll("text").data(C);function P(e,r,n,i){if(!e.match("s")||n>=0==i>=0||r(n).slice(-1).match(m)||r(i).slice(-1).match(m))return r;var a=e.slice().replace("s","f").replace(/\d+/,function(t){return parseInt(t)-1}),o=b(t,{tickformat:a});return function(t){return Math.abs(t)<1?u.tickText(o,t).text:r(t)}}L.enter().append("text"),L.attr("text-anchor",function(){return A}).attr("class",function(t){return t}).attr("x",null).attr("y",null).attr("dx",null).attr("dy",null),L.exit().remove();var O,z=f.mode+f.align;f._hasDelta&&(O=function(){var e=b(t,{tickformat:f.delta.valueformat},f._range);e.setScale(),u.prepTicks(e);var i=function(t){return u.tickText(e,t).text},a=function(t){var e=f.delta.relative?t.relativeDelta:t.delta;return e},o=function(t,e){return 0===t||"number"!=typeof t||isNaN(t)?"-":(t>0?f.delta.increasing.symbol:f.delta.decreasing.symbol)+e(t)},h=function(t){return t.delta>=0?f.delta.increasing.color:f.delta.decreasing.color};void 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u.tickText(e,t).text},a=f.number.suffix,l=f.number.prefix,h=E.select("text.number");function p(){var e="number"==typeof r[0].y?l+i(r[0].y)+a:"-";h.text(e).call(s.font,f.number.font).call(c.convertToTspans,t)}y(M)?h.transition().duration(M.duration).ease(M.easing).each("end",function(){p(),S&&S()}).each("interrupt",function(){p(),S&&S()}).attrTween("text",function(){var t=n.select(this),e=n.interpolateNumber(r[0].lastY,r[0].y);f._lastValue=r[0].y;var o=P(f.number.valueformat,i,r[0].lastY,r[0].y);return function(r){t.text(l+o(e(r))+a)}}):p();o=k(l+i(r[0].y)+a,f.number.font,A,t)}(),z+=f.number.font.size+f.number.font.family+f.number.valueformat+f.number.suffix+f.number.prefix,h=o);if(f._hasDelta&&f._hasNumber){var I,D,R=[(o.left+o.right)/2,(o.top+o.bottom)/2],F=[(l.left+l.right)/2,(l.top+l.bottom)/2],B=.75*f.delta.font.size;"left"===f.delta.position&&(I=T(f,"deltaPos",0,-1*(o.width*v[f.align]+l.width*(1-v[f.align])+B),z,Math.min),D=R[1]-F[1],h={width:o.width+l.width+B,height:Math.max(o.height,l.height),left:l.left+I,right:o.right,top:Math.min(o.top,l.top+D),bottom:Math.max(o.bottom,l.bottom+D)}),"right"===f.delta.position&&(I=T(f,"deltaPos",0,o.width*(1-v[f.align])+l.width*v[f.align]+B,z,Math.max),D=R[1]-F[1],h={width:o.width+l.width+B,height:Math.max(o.height,l.height),left:o.left,right:l.right+I,top:Math.min(o.top,l.top+D),bottom:Math.max(o.bottom,l.bottom+D)}),"bottom"===f.delta.position&&(I=null,D=l.height,h={width:Math.max(o.width,l.width),height:o.height+l.height,left:Math.min(o.left,l.left),right:Math.max(o.right,l.right),top:o.bottom-o.height,bottom:o.bottom+l.height}),"top"===f.delta.position&&(I=null,D=o.top,h={width:Math.max(o.width,l.width),height:o.height+l.height,left:Math.min(o.left,l.left),right:Math.max(o.right,l.right),top:o.bottom-o.height-l.height,bottom:o.bottom}),O.attr({dx:I,dy:D})}(f._hasNumber||f._hasDelta)&&E.attr("transform",function(){var t=a.numbersScaler(h);z+=t[2];var e,r=T(f,"numbersScale",1,t[0],z,Math.min);f._scaleNumbers||(r=1),e=f._isAngular?x-r*h.bottom:x-r*(h.top+h.bottom)/2,f._numbersTop=r*h.top+e;var n=h[w];"center"===w&&(n=(h.left+h.right)/2);var i=p-r*n;return _(i=T(f,"numbersTranslate",0,i,z,Math.max),e)+" scale("+r+")"})}(t,L,e,{numbersX:h,numbersY:A,numbersScaler:M,transitionOpts:r,onComplete:f}),P&&(S={range:C.gauge.axis.range,color:C.gauge.bgcolor,line:{color:C.gauge.bordercolor,width:0},thickness:1},E={range:C.gauge.axis.range,color:"rgba(0, 0, 0, 0)",line:{color:C.gauge.bordercolor,width:C.gauge.borderwidth},thickness:1});var q=L.selectAll("g.angular").data(O?e:[]);q.exit().remove();var H=L.selectAll("g.angularaxis").data(O?e:[]);H.exit().remove(),O&&function(t,e,r,i){var s,l,c,h,f=r[0].trace,p=i.size,d=i.radius,g=i.innerRadius,v=i.gaugeBg,m=i.gaugeOutline,w=[p.l+p.w/2,p.t+p.h/2+d/2],k=i.gauge,T=i.layer,A=i.transitionOpts,M=i.onComplete,S=Math.PI/2;function E(t){var e=f.gauge.axis.range[0],r=f.gauge.axis.range[1],n=(t-e)/(r-e)*Math.PI-S;return n<-S?-S:n>S?S:n}function C(t){return n.svg.arc().innerRadius((g+d)/2-t/2*(d-g)).outerRadius((g+d)/2+t/2*(d-g)).startAngle(-S)}function L(t){t.attr("d",function(t){return C(t.thickness).startAngle(E(t.range[0])).endAngle(E(t.range[1]))()})}k.enter().append("g").classed("angular",!0),k.attr("transform",_(w[0],w[1])),T.enter().append("g").classed("angularaxis",!0).classed("crisp",!0),T.selectAll("g.xangularaxistick,path,text").remove(),(s=b(t,f.gauge.axis)).type="linear",s.range=f.gauge.axis.range,s._id="xangularaxis",s.setScale();var P=function(t){return(s.range[0]-t.x)/(s.range[1]-s.range[0])*Math.PI+Math.PI},O={},z=u.makeLabelFns(s,0).labelStandoff;O.xFn=function(t){var e=P(t);return Math.cos(e)*z},O.yFn=function(t){var e=P(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(z+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*o)},O.anchorFn=function(t){var e=P(t),r=Math.cos(e);return 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Y=k.selectAll("g.gauge-outline").data([m]);Y.enter().append("g").classed("gauge-outline",!0).append("path"),Y.select("path").call(L).call(x),Y.exit().remove()}(t,0,e,{radius:B,innerRadius:N,gauge:q,layer:H,size:D,gaugeBg:S,gaugeOutline:E,transitionOpts:r,onComplete:f});var G=L.selectAll("g.bullet").data(z?e:[]);G.exit().remove();var Y=L.selectAll("g.bulletaxis").data(z?e:[]);Y.exit().remove(),z&&function(t,e,r,n){var i,a,o,s,c,h=r[0].trace,f=n.gauge,p=n.layer,g=n.gaugeBg,v=n.gaugeOutline,m=n.size,_=h.domain,w=n.transitionOpts,k=n.onComplete;f.enter().append("g").classed("bullet",!0),f.attr("transform","translate("+m.l+", "+m.t+")"),p.enter().append("g").classed("bulletaxis",!0).classed("crisp",!0),p.selectAll("g.xbulletaxistick,path,text").remove();var T=m.h,A=h.gauge.bar.thickness*T,M=_.x[0],S=_.x[0]+(_.x[1]-_.x[0])*(h._hasNumber||h._hasDelta?1-l.bulletNumberDomainSize:1);(i=b(t,h.gauge.axis))._id="xbulletaxis",i.domain=[M,S],i.setScale(),a=u.calcTicks(i),o=u.makeTransFn(i),s=u.getTickSigns(i)[2],c=m.t+m.h,i.visible&&(u.drawTicks(t,i,{vals:"inside"===i.ticks?u.clipEnds(i,a):a,layer:p,path:u.makeTickPath(i,c,s),transFn:o}),u.drawLabels(t,i,{vals:a,layer:p,transFn:o,labelFns:u.makeLabelFns(i,c)}));function E(t){t.attr("width",function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))}).attr("x",function(t){return i.c2p(t.range[0])}).attr("y",function(t){return.5*(1-t.thickness)*T}).attr("height",function(t){return t.thickness*T})}var C=[g].concat(h.gauge.steps),L=f.selectAll("g.bg-bullet").data(C);L.enter().append("g").classed("bg-bullet",!0).append("rect"),L.select("rect").call(E).call(x),L.exit().remove();var P=f.selectAll("g.value-bullet").data([h.gauge.bar]);P.enter().append("g").classed("value-bullet",!0).append("rect"),P.select("rect").attr("height",A).attr("y",(T-A)/2).call(x),y(w)?P.select("rect").transition().duration(w.duration).ease(w.easing).each("end",function(){k&&k()}).each("interrupt",function(){k&&k()}).attr("width",Math.max(0,i.c2p(Math.min(h.gauge.axis.range[1],r[0].y)))):P.select("rect").attr("width","number"==typeof r[0].y?Math.max(0,i.c2p(Math.min(h.gauge.axis.range[1],r[0].y))):0);P.exit().remove();var O=r.filter(function(){return h.gauge.threshold.value}),z=f.selectAll("g.threshold-bullet").data(O);z.enter().append("g").classed("threshold-bullet",!0).append("line"),z.select("line").attr("x1",i.c2p(h.gauge.threshold.value)).attr("x2",i.c2p(h.gauge.threshold.value)).attr("y1",(1-h.gauge.threshold.thickness)/2*T).attr("y2",(1-(1-h.gauge.threshold.thickness)/2)*T).call(d.stroke,h.gauge.threshold.line.color).style("stroke-width",h.gauge.threshold.line.width),z.exit().remove();var I=f.selectAll("g.gauge-outline").data([v]);I.enter().append("g").classed("gauge-outline",!0).append("rect"),I.select("rect").call(E).call(x),I.exit().remove()}(t,0,e,{gauge:G,layer:Y,size:D,gaugeBg:S,gaugeOutline:E,transitionOpts:r,onComplete:f});var W=L.selectAll("text.title").data(e);W.exit().remove(),W.enter().append("text").classed("title",!0),W.attr("text-anchor",function(){return z?g.right:g[C.title.align]}).text(C.title.text).call(s.font,C.title.font).call(c.convertToTspans,t),W.attr("transform",function(){var 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m={positions:f,cells:n,lightPosition:[t.lightposition.x,t.lightposition.y,t.lightposition.z],ambient:t.lighting.ambient,diffuse:t.lighting.diffuse,specular:t.lighting.specular,roughness:t.lighting.roughness,fresnel:t.lighting.fresnel,vertexNormalsEpsilon:t.lighting.vertexnormalsepsilon,faceNormalsEpsilon:t.lighting.facenormalsepsilon,opacity:t.opacity,contourEnable:t.contour.show,contourColor:l(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading};if(t.intensity){var y=c(t);this.color="#fff",m.vertexIntensity=t.intensity,m.vertexIntensityBounds=[y.min,y.max],m.colormap=s(t)}else t.vertexcolor?(this.color=t.vertexcolor[0],m.vertexColors=p(t.vertexcolor)):t.facecolor?(this.color=t.facecolor[0],m.cellColors=p(t.facecolor)):(this.color=t.color,m.meshColor=l(t.color));this.mesh.update(m)},f.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new h(t,i,e.uid);return 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n=t("../../lib/extend").extendFlat,i=t("../../plots/attributes"),a=t("../../plots/font_attributes"),o=t("../../components/colorscale/attributes"),s=t("../../components/fx/hovertemplate_attributes"),l=t("../../plots/domain").attributes,c=n({editType:"calc"},o("line",{editTypeOverride:"calc"}),{shape:{valType:"enumerated",values:["linear","hspline"],dflt:"linear",editType:"plot"},hovertemplate:s({editType:"plot",arrayOk:!1},{keys:["count","probability"]})});e.exports={domain:l({name:"parcats",trace:!0,editType:"calc"}),hoverinfo:n({},i.hoverinfo,{flags:["count","probability"],editType:"plot",arrayOk:!1}),hoveron:{valType:"enumerated",values:["category","color","dimension"],dflt:"category",editType:"plot"},hovertemplate:s({editType:"plot",arrayOk:!1},{keys:["count","probability","category","categorycount","colorcount","bandcolorcount"]}),arrangement:{valType:"enumerated",values:["perpendicular","freeform","fixed"],dflt:"perpendicular",editType:"plot"},bundlecolors:{valType:"boolean",dflt:!0,editType:"plot"},sortpaths:{valType:"enumerated",values:["forward","backward"],dflt:"forward",editType:"plot"},labelfont:a({editType:"calc"}),tickfont:a({editType:"calc"}),dimensions:{_isLinkedToArray:"dimension",label:{valType:"string",editType:"calc"},categoryorder:{valType:"enumerated",values:["trace","category 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i=n._has&&n._has("parcats"),a=e._has&&e._has("parcats");i&&!a&&n._paperdiv.selectAll(".parcats").remove()}},{"../../plots/get_data":802,"./plot":1073}],1069:[function(t,e,r){"use strict";var n=t("../../lib/gup").wrap,i=t("../../components/colorscale/helpers").hasColorscale,a=t("../../components/colorscale/calc"),o=t("../../lib/filter_unique.js"),s=t("../../components/drawing"),l=t("../../lib");function c(t,e,r){t.valueInds.push(e),t.count+=r}function u(t,e,r){t.valueInds.push(e),t.count+=r}e.exports=function(t,e){var r=l.filterVisible(e.dimensions);if(0===r.length)return[];var h,f,p,d=r.map(function(t){var e;return"trace"===t.categoryorder?e=null:"array"===t.categoryorder?e=t.categoryarray:(e=o(t.values).sort(),"category descending"===t.categoryorder&&(e=e.reverse())),function(t,e){e=null==e?[]:e.map(function(t){return t});var r={},n={},i=[];e.forEach(function(t,e){r[t]=0,n[t]=e});for(var a=0;a<t.length;a++){var o,s=t[a];void 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z=e._fullLayout.paper_bgcolor;T.select("text.catlabel").attr("text-anchor",function(t){return f(t)?"start":"end"}).attr("alignment-baseline","middle").style("text-shadow",z+" -1px 1px 2px, "+z+" 1px 1px 2px, "+z+" 1px -1px 2px, "+z+" -1px -1px 2px").style("fill","rgb(0, 0, 0)").attr("x",function(t){return f(t)?t.width+5:-5}).attr("y",function(t){return t.height/2}).text(function(t){return t.model.categoryLabel}).each(function(t){s.font(n.select(this),t.parcatsViewModel.categorylabelfont),c.convertToTspans(n.select(this),e)}),A.append("text").attr("class","dimlabel"),T.select("text.dimlabel").attr("text-anchor","middle").attr("alignment-baseline","baseline").attr("cursor",function(t){return"fixed"===t.parcatsViewModel.arrangement?"default":"ew-resize"}).attr("x",function(t){return t.width/2}).attr("y",-5).text(function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null}).each(function(t){s.font(n.select(this),t.parcatsViewModel.labelfont)}),T.selectAll("rect.bandrect").on("mouseover",M).on("mouseout",S),T.exit().remove(),k.call(n.behavior.drag().origin(function(t){return{x:t.x,y:0}}).on("dragstart",E).on("drag",C).on("dragend",L)),u.each(function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll("g.paths").selectAll("path.path"),t.dimensionSelection=n.select(this).selectAll("g.dimensions").selectAll("g.dimension")}),u.exit().remove()}function h(t){return t.key}function f(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function p(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function d(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")){o.raiseToTop(this),x(n.select(this));var e=v(t);if(t.parcatsViewModel.graphDiv.emit("plotly_hover",{points:e,event:n.event}),-1===t.parcatsViewModel.hoverinfoItems.indexOf("none")){var r,i,s,c=n.mouse(this)[0],u=t.parcatsViewModel.graphDiv,h=t.parcatsViewModel.trace,f=u._fullLayout,p=f._paperdiv.node().getBoundingClientRect(),d=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(s=0;s<t.leftXs.length-1;s++)if(t.leftXs[s]+t.dimWidths[s]-2<=c&&c<=t.leftXs[s+1]+2){var g=t.parcatsViewModel.dimensions[s],m=t.parcatsViewModel.dimensions[s+1];r=(g.x+g.width+m.x)/2,i=(t.topYs[s]+t.topYs[s+1]+t.height)/2;break}var y=t.parcatsViewModel.x+r,b=t.parcatsViewModel.y+i,_=l.mostReadable(t.model.color,["black","white"]),w=t.model.count,k=w/t.parcatsViewModel.model.count,T={countLabel:w,probabilityLabel:k.toFixed(3)},A=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf("count")&&A.push(["Count:",T.countLabel].join(" ")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf("probability")&&A.push(["P:",T.probabilityLabel].join(" "));var M=A.join("<br>"),S=n.mouse(u)[0];a.loneHover({trace:h,x:y-p.left+d.left,y:b-p.top+d.top,text:M,color:t.model.color,borderColor:"black",fontFamily:'Monaco, "Courier New", monospace',fontSize:10,fontColor:_,idealAlign:S<y?"right":"left",hovertemplate:(h.line||{}).hovertemplate,hovertemplateLabels:T,eventData:[{data:h._input,fullData:h,count:w,probability:k}]},{container:f._hoverlayer.node(),outerContainer:f._paper.node(),gd:u})}}}function g(t){if(!t.parcatsViewModel.dragDimension&&(y(n.select(this)),a.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(p),-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip"))){var e=v(t);t.parcatsViewModel.graphDiv.emit("plotly_unhover",{points:e,event:n.event})}}function v(t){for(var e=[],r=P(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function m(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")){var e=v(t);t.parcatsViewModel.graphDiv.emit("plotly_click",{points:e,event:n.event})}}function y(t){t.attr("fill",function(t){return t.model.color}).attr("fill-opacity",.6).attr("stroke","lightgray").attr("stroke-width",.2).attr("stroke-opacity",1)}function x(t){t.attr("fill-opacity",.8).attr("stroke",function(t){return l.mostReadable(t.model.color,["black","white"])}).attr("stroke-width",.3)}function b(t){t.select("rect.catrect").attr("stroke","black").attr("stroke-width",1).attr("stroke-opacity",1)}function _(t){t.attr("stroke","black").attr("stroke-width",.2).attr("stroke-opacity",1).attr("fill-opacity",1)}function w(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter(function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color})}function k(t,e,r){var i=n.select(t).datum().parcatsViewModel.graphDiv,a=n.select(t.parentNode).selectAll("rect.bandrect"),o=[];a.each(function(t){w(t).each(function(t){Array.prototype.push.apply(o,v(t))})}),i.emit(e,{points:o,event:r})}function T(t,e,r){var i=n.select(t).datum(),a=i.parcatsViewModel.graphDiv,o=w(i),s=[];o.each(function(t){Array.prototype.push.apply(s,v(t))}),a.emit(e,{points:s,event:r})}function A(t,e){var r,i,a=n.select(e.parentNode).select("rect.catrect"),o=a.node().getBoundingClientRect(),s=a.datum(),l=s.parcatsViewModel,c=l.model.dimensions[s.model.dimensionInd],u=l.trace,h=o.top+o.height/2;l.dimensions.length>1&&c.displayInd===l.dimensions.length-1?(r=o.left,i="left"):(r=o.left+o.width,i="right");var f=s.model.count,p=s.model.categoryLabel,d=f/s.parcatsViewModel.model.count,g={countLabel:f,categoryLabel:p,probabilityLabel:d.toFixed(3)},v=[];-1!==s.parcatsViewModel.hoverinfoItems.indexOf("count")&&v.push(["Count:",g.countLabel].join(" ")),-1!==s.parcatsViewModel.hoverinfoItems.indexOf("probability")&&v.push(["P("+g.categoryLabel+"):",g.probabilityLabel].join(" "));var m=v.join("<br>");return{trace:u,x:r-t.left,y:h-t.top,text:m,color:"lightgray",borderColor:"black",fontFamily:'Monaco, "Courier New", monospace',fontSize:12,fontColor:"black",idealAlign:i,hovertemplate:u.hovertemplate,hovertemplateLabels:g,eventData:[{data:u._input,fullData:u,count:f,category:p,probability:d}]}}function M(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")){if(n.mouse(this)[1]<-1)return;var e,r=t.parcatsViewModel.graphDiv,i=r._fullLayout,s=i._paperdiv.node().getBoundingClientRect(),c=t.parcatsViewModel.hoveron;if("color"===c?(!function(t){var e=n.select(t).datum(),r=w(e);x(r),r.each(function(){o.raiseToTop(this)}),n.select(t.parentNode).selectAll("rect.bandrect").filter(function(t){return t.color===e.color}).each(function(){o.raiseToTop(this),n.select(this).attr("stroke","black").attr("stroke-width",1.5)})}(this),T(this,"plotly_hover",n.event)):(!function(t){n.select(t.parentNode).selectAll("rect.bandrect").each(function(t){var e=w(t);x(e),e.each(function(){o.raiseToTop(this)})}),n.select(t.parentNode).select("rect.catrect").attr("stroke","black").attr("stroke-width",2.5)}(this),k(this,"plotly_hover",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf("none"))"category"===c?e=A(s,this):"color"===c?e=function(t,e){var r,i,a=e.getBoundingClientRect(),o=n.select(e).datum(),s=o.categoryViewModel,c=s.parcatsViewModel,u=c.model.dimensions[s.model.dimensionInd],h=c.trace,f=a.y+a.height/2;c.dimensions.length>1&&u.displayInd===c.dimensions.length-1?(r=a.left,i="left"):(r=a.left+a.width,i="right");var p=s.model.categoryLabel,d=o.parcatsViewModel.model.count,g=0;o.categoryViewModel.bands.forEach(function(t){t.color===o.color&&(g+=t.count)});var v=s.model.count,m=0;c.pathSelection.each(function(t){t.model.color===o.color&&(m+=t.model.count)});var y=g/d,x=g/m,b=g/v,_={countLabel:d,categoryLabel:p,probabilityLabel:y.toFixed(3)},w=[];-1!==s.parcatsViewModel.hoverinfoItems.indexOf("count")&&w.push(["Count:",_.countLabel].join(" ")),-1!==s.parcatsViewModel.hoverinfoItems.indexOf("probability")&&(w.push("P(color \u2229 "+p+"): "+_.probabilityLabel),w.push("P("+p+" | color): "+x.toFixed(3)),w.push("P(color | "+p+"): "+b.toFixed(3)));var k=w.join("<br>"),T=l.mostReadable(o.color,["black","white"]);return{trace:h,x:r-t.left,y:f-t.top,text:k,color:o.color,borderColor:"black",fontFamily:'Monaco, "Courier New", monospace',fontColor:T,fontSize:10,idealAlign:i,hovertemplate:h.hovertemplate,hovertemplateLabels:_,eventData:[{data:h._input,fullData:h,category:p,count:d,probability:y,categorycount:v,colorcount:m,bandcolorcount:g}]}}(s,this):"dimension"===c&&(e=function(t,e){var r=[];return n.select(e.parentNode.parentNode).selectAll("g.category").select("rect.catrect").each(function(){r.push(A(t,this))}),r}(s,this)),e&&a.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r})}}function S(t){var e=t.parcatsViewModel;if(!e.dragDimension&&(y(e.pathSelection),b(e.dimensionSelection.selectAll("g.category")),_(e.dimensionSelection.selectAll("g.category").selectAll("rect.bandrect")),a.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(p),-1===e.hoverinfoItems.indexOf("skip"))){"color"===t.parcatsViewModel.hoveron?T(this,"plotly_unhover",n.event):k(this,"plotly_unhover",n.event)}}function E(t){"fixed"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map(function(t){return t.displayInd}),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll("g.category").select("rect.catrect").each(function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map(function(t){return t.displayInd}),e.model.dragY=e.y,o.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll("rect.bandrect").each(function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)}))}),t.parcatsViewModel.dragDimension=t,a.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function C(t){if("fixed"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,c=a.categories,u=c[l-1],h=c[l+1];void 0!==u&&s<u.y+u.height/2&&(o.model.displayInd=u.model.displayInd,u.model.displayInd=l),void 0!==h&&s+o.height>h.y+h.height/2&&(o.model.displayInd=h.model.displayInd,h.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||"freeform"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var f=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==f&&a.model.dragX<f.x+f.width&&(a.model.displayInd=f.model.displayInd,f.model.displayInd=e),void 0!==p&&a.model.dragX+a.width>p.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}R(t.parcatsViewModel),D(t.parcatsViewModel),z(t.parcatsViewModel),O(t.parcatsViewModel)}}function L(t){if("fixed"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll("text").attr("font-weight","normal");var e={},r=P(t.parcatsViewModel),a=t.parcatsViewModel.model.dimensions.map(function(t){return t.displayInd}),o=t.initialDragDimensionDisplayInds.some(function(t,e){return t!==a[e]});o&&a.forEach(function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e["dimensions["+i+"].displayindex"]=r});var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map(function(t){return t.displayInd});if(s=t.initialDragCategoryDisplayInds.some(function(t,e){return t!==l[e]})){var c=t.model.categories.slice().sort(function(t,e){return t.displayInd-e.displayInd}),u=c.map(function(t){return t.categoryValue}),h=c.map(function(t){return t.categoryLabel});e["dimensions["+t.model.containerInd+"].categoryarray"]=[u],e["dimensions["+t.model.containerInd+"].ticktext"]=[h],e["dimensions["+t.model.containerInd+"].categoryorder"]="array"}}if(-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")&&!t.dragHasMoved&&t.potentialClickBand&&("color"===t.parcatsViewModel.hoveron?T(t.potentialClickBand,"plotly_click",n.event.sourceEvent):k(t.potentialClickBand,"plotly_click",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd)t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null;t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,R(t.parcatsViewModel),D(t.parcatsViewModel),n.transition().duration(300).ease("cubic-in-out").each(function(){z(t.parcatsViewModel,!0),O(t.parcatsViewModel,!0)}).each("end",function(){(o||s)&&i.restyle(t.parcatsViewModel.graphDiv,e,[r])})}}function P(t){for(var e,r=t.graphDiv._fullData,n=0;n<r.length;n++)if(t.key===r[n].uid){e=n;break}return e}function O(t,e){var r;void 0===e&&(e=!1),t.pathSelection.data(function(t){return t.paths},h),(r=t.pathSelection,e?r.transition():r).attr("d",function(t){return t.svgD})}function z(t,e){function r(t){return e?t.transition():t}void 0===e&&(e=!1),t.dimensionSelection.data(function(t){return t.dimensions},h);var i=t.dimensionSelection.selectAll("g.category").data(function(t){return t.categories},h);r(t.dimensionSelection).attr("transform",function(t){return"translate("+t.x+", 0)"}),r(i).attr("transform",function(t){return"translate(0, "+t.y+")"}),i.select(".dimlabel").text(function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null}),i.select(".catlabel").attr("text-anchor",function(t){return f(t)?"start":"end"}).attr("x",function(t){return f(t)?t.width+5:-5}).each(function(t){var e,r;f(t)?(e=t.width+5,r="start"):(e=-5,r="end"),n.select(this).selectAll("tspan").attr("x",e).attr("text-anchor",r)});var a=i.selectAll("rect.bandrect").data(function(t){return t.bands},h),s=a.enter().append("rect").attr("class","bandrect").attr("cursor","move").attr("stroke-opacity",0).attr("fill",function(t){return t.color}).attr("fill-opacity",0);a.attr("fill",function(t){return t.color}).attr("width",function(t){return t.width}).attr("height",function(t){return t.height}).attr("y",function(t){return t.y}),_(s),a.each(function(){o.raiseToTop(this)}),a.exit().remove()}function I(t,e,r,i,a){var o,s,l=[],c=[];for(s=0;s<r.length-1;s++)o=n.interpolateNumber(r[s]+t[s],t[s+1]),l.push(o(a)),c.push(o(1-a));var u="M "+t[0]+","+e[0];for(u+="l"+r[0]+",0 ",s=1;s<r.length;s++)u+="C"+l[s-1]+","+e[s-1]+" "+c[s-1]+","+e[s]+" "+t[s]+","+e[s],u+="l"+r[s]+",0 ";for(u+="l0,"+i+" ",u+="l -"+r[r.length-1]+",0 ",s=r.length-2;s>=0;s--)u+="C"+c[s]+","+(e[s+1]+i)+" "+l[s]+","+(e[s]+i)+" "+(t[s]+r[s])+","+(e[s]+i),u+="l-"+r[s]+",0 ";return u+="Z"}function D(t){var e=t.dimensions,r=t.model,n=e.map(function(t){return t.categories.map(function(t){return t.y})}),i=t.model.dimensions.map(function(t){return t.categories.map(function(t){return t.displayInd})}),a=t.model.dimensions.map(function(t){return t.displayInd}),o=t.dimensions.map(function(t){return t.model.dimensionInd}),s=e.map(function(t){return t.x}),l=e.map(function(t){return t.width}),c=[];for(var u in r.paths)r.paths.hasOwnProperty(u)&&c.push(r.paths[u]);function h(t){var e=t.categoryInds.map(function(t,e){return i[e][t]});return o.map(function(t){return e[t]})}c.sort(function(e,r){var n=h(e),i=h(r);return"backward"===t.sortpaths&&(n.reverse(),i.reverse()),n.push(e.valueInds[0]),i.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),i.unshift(r.rawColor)),n<i?-1:n>i?1:0});for(var f=new Array(c.length),p=e[0].model.count,d=e[0].categories.map(function(t){return t.height}).reduce(function(t,e){return t+e}),g=0;g<c.length;g++){var v,m=c[g];v=p>0?d*(m.count/p):0;for(var y,x=new Array(n.length),b=0;b<m.categoryInds.length;b++){var _=m.categoryInds[b],w=i[b][_],k=a[b];x[k]=n[k][w],n[k][w]+=v;var T=t.dimensions[k].categories[w],A=T.bands.length,M=T.bands[A-1];if(void 0===M||m.rawColor!==M.rawColor){var S=void 0===M?0:M.y+M.height;T.bands.push({key:S,color:m.color,rawColor:m.rawColor,height:v,width:T.width,count:m.count,y:S,categoryViewModel:T,parcatsViewModel:t})}else{var E=T.bands[A-1];E.height+=v,E.count+=m.count}}y="hspline"===t.pathShape?I(s,x,l,v,.5):I(s,x,l,v,0),f[g]={key:m.valueInds[0],model:m,height:v,leftXs:s,topYs:x,dimWidths:l,svgD:y,parcatsViewModel:t}}t.paths=f}function R(t){var e=t.model.dimensions.map(function(t){return{displayInd:t.displayInd,dimensionInd:t.dimensionInd}});e.sort(function(t,e){return t.displayInd-e.displayInd});var r=[];for(var n in e){var i=e[n].dimensionInd,a=t.model.dimensions[i];r.push(F(t,a))}t.dimensions=r}function F(t,e){var r,n=t.model.dimensions.length,i=e.displayInd;r=40+(n>1?(t.width-80-16)/(n-1):0)*i;var a,o,s,l,c,u=[],h=t.model.maxCats,f=e.categories.length,p=e.count,d=t.height-8*(h-1),g=8*(h-f)/2,v=e.categories.map(function(t){return{displayInd:t.displayInd,categoryInd:t.categoryInd}});for(v.sort(function(t,e){return t.displayInd-e.displayInd}),c=0;c<f;c++)l=v[c].categoryInd,o=e.categories[l],a=p>0?o.count/p*d:0,s={key:o.valueInds[0],model:o,width:16,height:a,y:null!==o.dragY?o.dragY:g,bands:[],parcatsViewModel:t},g=g+a+8,u.push(s);return{key:e.dimensionInd,x:null!==e.dragX?e.dragX:r,y:0,width:16,model:e,categories:u,parcatsViewModel:t,dragCategoryDisplayInd:null,dragDimensionDisplayInd:null,initialDragDimensionDisplayInds:null,initialDragCategoryDisplayInds:null,dragHasMoved:null,potentialClickBand:null}}e.exports=function(t,e,r,n){u(r,t,n,e)}},{"../../components/drawing":614,"../../components/fx":632,"../../lib":719,"../../lib/svg_text_utils":743,"../../plot_api/plot_api":754,d3:163,tinycolor2:537}],1073:[function(t,e,r){"use strict";var n=t("./parcats");e.exports=function(t,e,r,i){var a=t._fullLayout,o=a._paper,s=a._size;n(t,o,e,{width:s.w,height:s.h,margin:{t:s.t,r:s.r,b:s.b,l:s.l}},r,i)}},{"./parcats":1072}],1074:[function(t,e,r){"use strict";var n=t("../../components/colorscale/attributes"),i=t("../../plots/cartesian/layout_attributes"),a=t("../../plots/font_attributes"),o=t("../../plots/domain").attributes,s=t("../../lib/extend").extendFlat,l=t("../../plot_api/plot_template").templatedArray;e.exports={domain:o({name:"parcoords",trace:!0,editType:"plot"}),labelangle:{valType:"angle",dflt:0,editType:"plot"},labelside:{valType:"enumerated",values:["top","bottom"],dflt:"top",editType:"plot"},labelfont:a({editType:"plot"}),tickfont:a({editType:"plot"}),rangefont:a({editType:"plot"}),dimensions:l("dimension",{label:{valType:"string",editType:"plot"},tickvals:s({},i.tickvals,{editType:"plot"}),ticktext:s({},i.ticktext,{editType:"plot"}),tickformat:s({},i.tickformat,{editType:"plot"}),visible:{valType:"boolean",dflt:!0,editType:"plot"},range:{valType:"info_array",items:[{valType:"number",editType:"plot"},{valType:"number",editType:"plot"}],editType:"plot"},constraintrange:{valType:"info_array",freeLength:!0,dimensions:"1-2",items:[{valType:"number",editType:"plot"},{valType:"number",editType:"plot"}],editType:"plot"},multiselect:{valType:"boolean",dflt:!0,editType:"plot"},values:{valType:"data_array",editType:"calc"},editType:"calc"}),line:s({editType:"calc"},n("line",{colorscaleDflt:"Viridis",autoColorDflt:!1,editTypeOverride:"calc"}))}},{"../../components/colorscale/attributes":600,"../../lib/extend":710,"../../plot_api/plot_template":757,"../../plots/cartesian/layout_attributes":779,"../../plots/domain":792,"../../plots/font_attributes":793}],1075:[function(t,e,r){"use strict";var n=t("./constants"),i=t("d3"),a=t("../../lib/gup").keyFun,o=t("../../lib/gup").repeat,s=t("../../lib").sorterAsc,l=n.bar.snapRatio;function c(t,e){return t*(1-l)+e*l}var u=n.bar.snapClose;function h(t,e){return t*(1-u)+e*u}function f(t,e,r,n){if(function(t,e){for(var r=0;r<e.length;r++)if(t>=e[r][0]&&t<=e[r][1])return!0;return!1}(r,n))return r;var i=t?-1:1,a=0,o=e.length-1;if(i<0){var s=a;a=o,o=s}for(var l=e[a],u=l,f=a;i*f<i*o;f+=i){var p=f+i,d=e[p];if(i*r<i*h(l,d))return c(l,u);if(i*r<i*d||p===o)return c(d,l);u=l,l=d}}function p(t){t.attr("x",-n.bar.captureWidth/2).attr("width",n.bar.captureWidth)}function d(t){t.attr("visibility","visible").style("visibility","visible").attr("fill","yellow").attr("opacity",0)}function g(t){if(!t.brush.filterSpecified)return"0,"+t.height;for(var e,r,n,i=v(t.brush.filter.getConsolidated(),t.height),a=[0],o=i.length?i[0][0]:null,s=0;s<i.length;s++)r=(e=i[s])[1]-e[0],a.push(o),a.push(r),(n=s+1)<i.length&&(o=i[n][0]-e[1]);return a.push(t.height),a}function v(t,e){return t.map(function(t){return t.map(function(t){return Math.max(0,t*e)}).sort(s)})}function m(){i.select(document.body).style("cursor",null)}function y(t){t.attr("stroke-dasharray",g)}function x(t,e){var r=i.select(t).selectAll(".highlight, .highlight-shadow");y(e?r.transition().duration(n.bar.snapDuration).each("end",e):r)}function b(t,e){var r,i=t.brush,a=NaN,o={};if(i.filterSpecified){var s=t.height,l=i.filter.getConsolidated(),c=v(l,s),u=NaN,h=NaN,f=NaN;for(r=0;r<=c.length;r++){var p=c[r];if(p&&p[0]<=e&&e<=p[1]){u=r;break}if(h=r?r-1:NaN,p&&p[0]>e){f=r;break}}if(a=u,isNaN(a)&&(a=isNaN(h)||isNaN(f)?isNaN(h)?f:h:e-c[h][1]<c[f][0]-e?h:f),!isNaN(a)){var d=c[a],g=function(t,e){var r=n.bar.handleHeight;if(!(e>t[1]+r||e<t[0]-r))return e>=.9*t[1]+.1*t[0]?"n":e<=.9*t[0]+.1*t[1]?"s":"ns"}(d,e);g&&(o.interval=l[a],o.intervalPix=d,o.region=g)}}if(t.ordinal&&!o.region){var m=t.unitTickvals,y=t.unitToPaddedPx.invert(e);for(r=0;r<m.length;r++){var x=[.25*m[Math.max(r-1,0)]+.75*m[r],.25*m[Math.min(r+1,m.length-1)]+.75*m[r]];if(y>=x[0]&&y<=x[1]){o.clickableOrdinalRange=x;break}}}return o}function _(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.brush.svgBrush;a.wasDragged=!0,a._dragging=!0,a.grabbingBar?a.newExtent=[r-a.grabPoint,r+a.barLength-a.grabPoint].map(e.unitToPaddedPx.invert):a.newExtent=[a.startExtent,e.unitToPaddedPx.invert(r)].sort(s),e.brush.filterSpecified=!0,a.extent=a.stayingIntervals.concat([a.newExtent]),a.brushCallback(e),x(t.parentNode)}function w(t,e){var r=b(e,e.height-i.mouse(t)[1]-2*n.verticalPadding),a="crosshair";r.clickableOrdinalRange?a="pointer":r.region&&(a=r.region+"-resize"),i.select(document.body).style("cursor",a)}function k(t){t.on("mousemove",function(t){i.event.preventDefault(),t.parent.inBrushDrag||w(this,t)}).on("mouseleave",function(t){t.parent.inBrushDrag||m()}).call(i.behavior.drag().on("dragstart",function(t){!function(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.unitToPaddedPx.invert(r),o=e.brush,s=b(e,r),l=s.interval,c=o.svgBrush;if(c.wasDragged=!1,c.grabbingBar="ns"===s.region,c.grabbingBar){var u=l.map(e.unitToPaddedPx);c.grabPoint=r-u[0]-n.verticalPadding,c.barLength=u[1]-u[0]}c.clickableOrdinalRange=s.clickableOrdinalRange,c.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(c.stayingIntervals=c.stayingIntervals.filter(function(t){return t[0]!==l[0]&&t[1]!==l[1]})),c.startExtent=s.region?l["s"===s.region?1:0]:a,e.parent.inBrushDrag=!0,c.brushStartCallback()}(this,t)}).on("drag",function(t){_(this,t)}).on("dragend",function(t){!function(t,e){var r=e.brush,n=r.filter,a=r.svgBrush;a._dragging||(w(t,e),_(t,e),e.brush.svgBrush.wasDragged=!1),a._dragging=!1,i.event.sourceEvent.stopPropagation();var o=a.grabbingBar;if(a.grabbingBar=!1,a.grabLocation=void 0,e.parent.inBrushDrag=!1,m(),!a.wasDragged)return a.wasDragged=void 0,a.clickableOrdinalRange?r.filterSpecified&&e.multiselect?a.extent.push(a.clickableOrdinalRange):(a.extent=[a.clickableOrdinalRange],r.filterSpecified=!0):o?(a.extent=a.stayingIntervals,0===a.extent.length&&A(r)):A(r),a.brushCallback(e),x(t.parentNode),void a.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),a.newExtent=[f(0,l,a.newExtent[0],a.stayingIntervals),f(1,l,a.newExtent[1],a.stayingIntervals)];var c=a.newExtent[1]>a.newExtent[0];a.extent=a.stayingIntervals.concat(c?[a.newExtent]:[]),a.extent.length||A(r),a.brushCallback(e),c?x(t.parentNode,s):(s(),x(t.parentNode))}else s();a.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)}))}function T(t,e){return t[0]-e[0]}function A(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function M(t){for(var e,r=t.slice(),n=[],i=r.shift();i;){for(e=i.slice();(i=r.shift())&&i[0]<=e[1];)e[1]=Math.max(e[1],i[1]);n.push(e)}return n}e.exports={makeBrush:function(t,e,r,n,i,a){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map(function(t){return t.slice().sort(s)}).sort(T)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=M(r),e=r.reduce(function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]},[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map(function(t){return t.slice()})}(e).slice();e.filter.set(r),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t){var e=t.selectAll("."+n.cn.axisBrush).data(o,a);e.enter().append("g").classed(n.cn.axisBrush,!0),function(t){var e=t.selectAll(".background").data(o);e.enter().append("rect").classed("background",!0).call(p).call(d).style("pointer-events","auto").attr("transform","translate(0 "+n.verticalPadding+")"),e.call(k).attr("height",function(t){return t.height-n.verticalPadding});var r=t.selectAll(".highlight-shadow").data(o);r.enter().append("line").classed("highlight-shadow",!0).attr("x",-n.bar.width/2).attr("stroke-width",n.bar.width+n.bar.strokeWidth).attr("stroke",n.bar.strokeColor).attr("opacity",n.bar.strokeOpacity).attr("stroke-linecap","butt"),r.attr("y1",function(t){return t.height}).call(y);var i=t.selectAll(".highlight").data(o);i.enter().append("line").classed("highlight",!0).attr("x",-n.bar.width/2).attr("stroke-width",n.bar.width-n.bar.strokeWidth).attr("stroke",n.bar.fillColor).attr("opacity",n.bar.fillOpacity).attr("stroke-linecap","butt"),i.attr("y1",function(t){return t.height}).call(y)}(e)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map(function(t){return t.sort(s)}),t=e.multiselect?M(t.sort(T)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map(function(t){var e=[f(0,r,t[0],[]),f(1,r,t[1],[])];if(e[1]>e[0])return e}).filter(function(t){return t})).length)return}return t.length>1?t:t[0]}}},{"../../lib":719,"../../lib/gup":717,"./constants":1078,d3:163}],1076:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../plots/get_data").getModuleCalcData,a=t("./plot"),o=t("../../constants/xmlns_namespaces");r.name="parcoords",r.plot=function(t){var e=i(t.calcdata,"parcoords")[0];e.length&&a(t,e)},r.clean=function(t,e,r,n){var i=n._has&&n._has("parcoords"),a=e._has&&e._has("parcoords");i&&!a&&(n._paperdiv.selectAll(".parcoords").remove(),n._glimages.selectAll("*").remove())},r.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(".svg-container");r.filter(function(t,e){return e===r.size()-1}).selectAll(".gl-canvas-context, .gl-canvas-focus").each(function(){var t=this.toDataURL("image/png");e.append("svg:image").attr({xmlns:o.svg,"xlink:href":t,preserveAspectRatio:"none",x:0,y:0,width:this.width,height:this.height})}),window.setTimeout(function(){n.selectAll("#filterBarPattern").attr("id","filterBarPattern")},60)}},{"../../constants/xmlns_namespaces":696,"../../plots/get_data":802,"./plot":1085,d3:163}],1077:[function(t,e,r){"use strict";var n=t("../../lib").isArrayOrTypedArray,i=t("../../components/colorscale"),a=t("../../lib/gup").wrap;e.exports=function(t,e){var r,o;return i.hasColorscale(e,"line")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:"line",cLetter:"c"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),a({lineColor:r,cscale:o})}},{"../../components/colorscale":605,"../../lib":719,"../../lib/gup":717}],1078:[function(t,e,r){"use strict";e.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:["contextLineLayer","focusLineLayer","pickLineLayer"],axisTitleOffset:28,axisExtentOffset:10,deselectedLineColor:"#777",bar:{width:4,captureWidth:10,fillColor:"magenta",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeColor:"white",strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:"axis-extent-text",parcoordsLineLayers:"parcoords-line-layers",parcoordsLineLayer:"parcoords-lines",parcoords:"parcoords",parcoordsControlView:"parcoords-control-view",yAxis:"y-axis",axisOverlays:"axis-overlays",axis:"axis",axisHeading:"axis-heading",axisTitle:"axis-title",axisExtent:"axis-extent",axisExtentTop:"axis-extent-top",axisExtentTopText:"axis-extent-top-text",axisExtentBottom:"axis-extent-bottom",axisExtentBottomText:"axis-extent-bottom-text",axisBrush:"axis-brush"},id:{filterBarPattern:"filter-bar-pattern"}}},{}],1079:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/colorscale/helpers").hasColorscale,a=t("../../components/colorscale/defaults"),o=t("../../plots/domain").defaults,s=t("../../plots/array_container_defaults"),l=t("../../plots/cartesian/axes"),c=t("./attributes"),u=t("./axisbrush"),h=t("./constants").maxDimensionCount,f=t("./merge_length");function p(t,e,r,i){function a(r,i){return n.coerce(t,e,c.dimensions,r,i)}var o=a("values"),s=a("visible");if(o&&o.length||(s=e.visible=!1),s){a("label"),a("tickvals"),a("ticktext"),a("tickformat");var h=a("range");e._ax={_id:"y",type:"linear",showexponent:"all",exponentformat:"B",range:h},l.setConvert(e._ax,i.layout),a("multiselect");var f=a("constraintrange");f&&(e.constraintrange=u.cleanRanges(f,e))}}e.exports=function(t,e,r,l){function u(r,i){return n.coerce(t,e,c,r,i)}var d=t.dimensions;Array.isArray(d)&&d.length>h&&(n.log("parcoords traces support up to "+h+" dimensions at the moment"),d.splice(h));var g=s(t,e,{name:"dimensions",layout:l,handleItemDefaults:p}),v=function(t,e,r,o,s){var l=s("line.color",r);if(i(t,"line")&&n.isArrayOrTypedArray(l)){if(l.length)return s("line.colorscale"),a(t,e,o,s,{prefix:"line.",cLetter:"c"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,u);o(e,l,u),Array.isArray(g)&&g.length||(e.visible=!1),f(e,g,"values",v);var m={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(u,"labelfont",m),n.coerceFont(u,"tickfont",m),n.coerceFont(u,"rangefont",m),u("labelangle"),u("labelside")}},{"../../components/colorscale/defaults":603,"../../components/colorscale/helpers":604,"../../lib":719,"../../plots/array_container_defaults":763,"../../plots/cartesian/axes":767,"../../plots/domain":792,"./attributes":1074,"./axisbrush":1075,"./constants":1078,"./merge_length":1083}],1080:[function(t,e,r){"use strict";var n=t("../../lib").isTypedArray;r.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},r.isOrdinal=function(t){return!!t.tickvals},r.isVisible=function(t){return t.visible||!("visible"in t)}},{"../../lib":719}],1081:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),calc:t("./calc"),plot:t("./plot"),colorbar:{container:"line",min:"cmin",max:"cmax"},moduleType:"trace",name:"parcoords",basePlotModule:t("./base_plot"),categories:["gl","regl","noOpacity","noHover"],meta:{}}},{"./attributes":1074,"./base_plot":1076,"./calc":1077,"./defaults":1079,"./plot":1085}],1082:[function(t,e,r){"use strict";var n=t("glslify"),i=n(["precision highp float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor;\n\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\n p17_20, p21_24, p25_28, p29_32,\n p33_36, p37_40, p41_44, p45_48,\n p49_52, p53_56, p57_60, colors;\n\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\n loA, hiA, loB, hiB, loC, hiC, loD, hiD;\n\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\nuniform sampler2D mask, palette;\nuniform float maskHeight;\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\nuniform vec4 contextColor;\n\nbool isPick = (drwLayer > 1.5);\nbool isContext = (drwLayer < 0.5);\n\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\n\nfloat val(mat4 p, mat4 v) {\n return dot(matrixCompMult(p, v) * UNITS, UNITS);\n}\n\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\n float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\n float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\n return y1 * (1.0 - ratio) + y2 * ratio;\n}\n\nint iMod(int a, int b) {\n return a - b * (a / b);\n}\n\nbool fOutside(float p, float lo, float hi) {\n return (lo < hi) && (lo > p || p > hi);\n}\n\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\n return (\n fOutside(p[0], lo[0], hi[0]) ||\n fOutside(p[1], lo[1], hi[1]) ||\n fOutside(p[2], lo[2], hi[2]) ||\n fOutside(p[3], lo[3], hi[3])\n );\n}\n\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\n return (\n vOutside(p[0], lo[0], hi[0]) ||\n vOutside(p[1], lo[1], hi[1]) ||\n vOutside(p[2], lo[2], hi[2]) ||\n vOutside(p[3], lo[3], hi[3])\n );\n}\n\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\n return mOutside(A, loA, hiA) ||\n mOutside(B, loB, hiB) ||\n mOutside(C, loC, hiC) ||\n mOutside(D, loD, hiD);\n}\n\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\n mat4 pnts[4];\n pnts[0] = A;\n pnts[1] = B;\n pnts[2] = C;\n pnts[3] = D;\n\n for(int i = 0; i < 4; ++i) {\n for(int j = 0; j < 4; ++j) {\n for(int k = 0; k < 4; ++k) {\n if(0 == iMod(\n int(255.0 * texture2D(mask,\n vec2(\n (float(i * 2 + j / 2) + 0.5) / 8.0,\n (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\n ))[3]\n ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\n 2\n )) return true;\n }\n }\n }\n return false;\n}\n\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\n float x = 0.5 * sign(v) + 0.5;\n float y = axisY(x, A, B, C, D);\n float z = 1.0 - abs(v);\n\n z += isContext ? 0.0 : 2.0 * float(\n outsideBoundingBox(A, B, C, D) ||\n outsideRasterMask(A, B, C, D)\n );\n\n return vec4(\n 2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\n z,\n 1.0\n );\n}\n\nvoid main() {\n mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\n mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\n mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\n mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\n\n float v = colors[3];\n\n gl_Position = position(isContext, v, A, B, C, D);\n\n fragColor =\n isContext ? vec4(contextColor) :\n isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\n}\n"]),a=n(["precision highp float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor;\n\nvoid main() {\n gl_FragColor = fragColor;\n}\n"]),o=t("./constants").maxDimensionCount,s=t("../../lib"),l=1e-6,c=2048,u=new Uint8Array(4),h=new Uint8Array(4),f={shape:[256,1],format:"rgba",type:"uint8",mag:"nearest",min:"nearest"};function p(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function d(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(!function(t){t.read({x:0,y:0,width:1,height:1,data:u})}(t),r.drawCompleted=!0),function s(l){var c=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],p(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*c,a.offset=2*l*n,e(a),l*n+c<i&&(r.currentRafs[o]=window.requestAnimationFrame(function(){s(l+1)})),r.drawCompleted=!1)}(0)}function g(t,e){return(t>>>8*e)%256/255}function v(t,e,r){for(var n=new Array(8*e),i=0,a=0;a<e;a++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=4*t+s,c=r[64*a+l];63===l&&0===o&&(c*=-1),n[i++]=c}return n}function m(t){var e="0"+t;return e.substr(e.length-2)}function y(t){return t<o?"p"+m(t+1)+"_"+m(t+4):"colors"}function 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e=c-1,r=Math.max(0,Math.floor(t[0]*e),0),n=Math.min(e,Math.ceil(t[1]*e),e);return[Math.min(r,n),Math.max(r,n)]}e.exports=function(t,e){var r,n,u,m,_,w=e.context,k=e.pick,T=e.regl,A={currentRafs:{},drawCompleted:!0,clearOnly:!1},M=function(t){for(var e={},r=0;r<=o;r+=4)e[y(r)]=t.buffer({usage:"dynamic",type:"float",data:new Uint8Array(0)});return e}(T),S=T.texture(f),E=[];L(e);var C=T({profile:!1,blend:{enable:w,func:{srcRGB:"src alpha",dstRGB:"one minus src 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L(t){r=t.model,n=t.viewModel,u=n.dimensions.slice(),m=u[0]?u[0].values.length:0;var e=r.lines,i=k?e.color.map(function(t,r){return r/e.color.length}):e.color,a=function(t,e,r){for(var n,i=new Array(t*(o+4)),a=0,s=0;s<t;s++){for(var c=0;c<o;c++)i[a++]=c<e.length?e[c].paddedUnitValues[s]:.5;i[a++]=g(s,2),i[a++]=g(s,1),i[a++]=g(s,0),i[a++]=(n=r[s],Math.max(l,Math.min(1-l,n)))}return i}(m,u,i);!function(t,e,r){for(var n=0;n<=o;n+=4)t[y(n)](v(n/4,e,r))}(M,m,a),w||k||(S=T.texture(s.extendFlat({data:function(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}(r.unitToColor,255)},f)))}return{render:function(t,e,n){var i,a,o,s=t.length,l=1/0,h=-1/0;for(i=0;i<s;i++)t[i].dim0.canvasX<l&&(l=t[i].dim0.canvasX,a=i),t[i].dim1.canvasX>h&&(h=t[i].dim1.canvasX,o=i);0===s&&p(T,0,0,r.canvasWidth,r.canvasHeight);var f=function(t){var e,r,n,i=[[],[]];for(n=0;n<64;n++){var a=!t&&n<u.length?u[n].brush.filter.getBounds():[-1/0,1/0];i[0][n]=a[0],i[1][n]=a[1]}var o=8*c,s=new Array(o);for(e=0;e<o;e++)s[e]=255;if(!t)for(e=0;e<u.length;e++){var l=e%8,h=(e-l)/8,f=Math.pow(2,l),p=u[e].brush.filter.get();if(!(p.length<2)){var d=b(p[0])[1];for(r=1;r<p.length;r++){var g=b(p[r]);for(n=d+1;n<g[0];n++)s[8*n+h]&=~f;d=Math.max(d,g[1])}}}var v={shape:[8,c],format:"alpha",type:"uint8",mag:"nearest",min:"nearest",data:s};return _?_(v):_=T.texture(v),{maskTexture:_,maskHeight:c,loA:i[0].slice(0,16),loB:i[0].slice(16,32),loC:i[0].slice(32,48),loD:i[0].slice(48,64),hiA:i[1].slice(0,16),hiB:i[1].slice(16,32),hiC:i[1].slice(32,48),hiD:i[1].slice(48,64)}}(w);for(i=0;i<s;i++){var g=t[i],v=g.dim0.crossfilterDimensionIndex,y=g.dim1.crossfilterDimensionIndex,M=g.canvasX,S=g.canvasY,L=M+g.panelSizeX;if(e||!E[v]||E[v][0]!==M||E[v][1]!==L){E[v]=[M,L];var P=x(r,a,o,i,v,y,M,S,g.panelSizeX,g.panelSizeY,g.dim0.crossfilterDimensionIndex,w?0:k?2:1,f);A.clearOnly=n;var O=e?r.lines.blockLineCount:m;d(T,C,A,O,m,P)}}},readPixel:function(t,e){return T.read({x:t,y:e,width:1,height:1,data:h}),h},readPixels:function(t,e,r,n){var i=new Uint8Array(4*r*n);return T.read({x:t,y:e,width:r,height:n,data:i}),i},destroy:function(){for(var e in t.style["pointer-events"]="none",S.destroy(),_&&_.destroy(),M)M[e].destroy()},update:L}}},{"../../lib":719,"./constants":1078,glslify:409}],1083:[function(t,e,r){"use strict";e.exports=function(t,e,r,n){var i,a;for(n||(n=1/0),i=0;i<e.length;i++)(a=e[i]).visible&&(n=Math.min(n,a[r].length));for(n===1/0&&(n=0),t._length=n,i=0;i<e.length;i++)(a=e[i]).visible&&(a._length=n);return n}},{}],1084:[function(t,e,r){"use strict";var n=t("d3"),i=t("color-rgba"),a=t("../../plots/cartesian/axes"),o=t("../../lib"),s=t("../../lib/svg_text_utils"),l=t("../../components/drawing"),c=t("../../components/colorscale"),u=t("../../lib/gup"),h=u.keyFun,f=u.repeat,p=u.unwrap,d=t("./helpers"),g=t("./constants"),v=t("./axisbrush"),m=t("./lines");function y(t,e,r){return o.aggNums(t,null,e,r)}function x(t,e){return 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a=p(e),s=a.trace,l=d.convertTypedArray(a.lineColor),u=s.line,h={color:i(g.deselectedLineColor)},f=c.extractOpts(u),v=f.reversescale?c.flipScale(a.cscale):a.cscale,m=s.domain,y=s.dimensions,x=t.width,_=s.labelangle,w=s.labelside,k=s.labelfont,T=s.tickfont,A=s.rangefont,M=o.extendDeepNoArrays({},u,{color:l.map(n.scale.linear().domain(b({values:l,range:[f.min,f.max],_length:s._length}))),blockLineCount:g.blockLineCount,canvasOverdrag:g.overdrag*g.canvasPixelRatio}),S=Math.floor(x*(m.x[1]-m.x[0])),E=Math.floor(t.height*(m.y[1]-m.y[0])),C=t.margin||{l:80,r:80,t:100,b:80},L=S,P=E;return{key:r,colCount:y.filter(d.isVisible).length,dimensions:y,tickDistance:g.tickDistance,unitToColor:function(t){var e=t.map(function(t){return t[0]}),r=t.map(function(t){var e=i(t[1]);return n.rgb("rgb("+e[0]+","+e[1]+","+e[2]+")")}),a="rgb".split("").map(function(t){return n.scale.linear().clamp(!0).domain(e).range(r.map((i=t,function(t){return t[i]})));var i});return function(t){return a.map(function(e){return 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A(t){t.classed(g.cn.axisExtentText,!0).attr("text-anchor","middle").style("cursor","default").style("user-select","none")}function M(t,e){var r="top"===e?1:-1,n=t*Math.PI/180;return{dir:r,dx:Math.sin(n),dy:Math.cos(n),degrees:t}}function S(t,e){for(var r=e.panels||(e.panels=[]),n=t.data(),i=0;i<n.length-1;i++){var a=r[i]||(r[i]={}),o=n[i],s=n[i+1];a.dim0=o,a.dim1=s,a.canvasX=o.canvasX,a.panelSizeX=s.canvasX-o.canvasX,a.panelSizeY=e.model.canvasHeight,a.y=0,a.canvasY=0}}function E(t,e){return a.tickText(t._ax,e,!1).text}function C(t,e){if(t.ordinal)return"";var r=t.domainScale.domain(),n=r[e?r.length-1:0];return E(t.model.dimensions[t.visibleIndex],n)}e.exports=function(t,e,r,i){var c=t._fullLayout,u=c._toppaper,y=c._glcontainer;!function(t){for(var e=0;e<t.length;e++)for(var r=0;r<t[e].length;r++)for(var n=t[e][r].trace,i=n.dimensions,o=0;o<i.length;o++){var s=i[o].values,l=i[o]._ax;l&&(l.range?l.range=_(l.range[0],l.range[1]):l.range=x(s,n._length),l.dtick||(l.dtick=.01*(Math.abs(l.range[1]-l.range[0])||1)),l.tickformat=i[o].tickformat,a.calcTicks(l),l.cleanRange())}}(e);var b,L,P=(b=!0,L=!1,{linePickActive:function(t){return arguments.length?b=!!t:b},contextShown:function(t){return arguments.length?L=!!t:L}}),O=e.filter(function(t){return p(t).trace.visible}).map(k.bind(0,r)).map(T.bind(0,P,i));y.each(function(t,e){return o.extendFlat(t,O[e])});var z=y.selectAll(".gl-canvas").each(function(t){t.viewModel=O[0],t.model=t.viewModel?t.viewModel.model:null}),I=null;z.filter(function(t){return t.pick}).style("pointer-events","auto").on("mousemove",function(t){if(P.linePickActive()&&t.lineLayer&&i&&i.hover){var e=n.event,r=this.width,a=this.height,o=n.mouse(this),s=o[0],l=o[1];if(s<0||l<0||s>=r||l>=a)return;var c=t.lineLayer.readPixel(s,a-1-l),u=0!==c[3],h=u?c[2]+256*(c[1]+256*c[0]):null,f={x:s,y:l,clientX:e.clientX,clientY:e.clientY,dataIndex:t.model.key,curveNumber:h};h!==I&&(u?i.hover(f):i.unhover&&i.unhover(f),I=h)}}),z.style("opacity",function(t){return t.pick?0:1}),u.style("background","rgba(255, 255, 255, 0)");var D=u.selectAll("."+g.cn.parcoords).data(O,h);D.exit().remove(),D.enter().append("g").classed(g.cn.parcoords,!0).style("shape-rendering","crispEdges").style("pointer-events","none"),D.attr("transform",function(t){return"translate("+t.model.translateX+","+t.model.translateY+")"});var R=D.selectAll("."+g.cn.parcoordsControlView).data(f,h);R.enter().append("g").classed(g.cn.parcoordsControlView,!0),R.attr("transform",function(t){return"translate("+t.model.pad.l+","+t.model.pad.t+")"});var F=R.selectAll("."+g.cn.yAxis).data(function(t){return 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s={},l={},c={},u={},h=r._size;e.forEach(function(e,r){var n=e[0].trace;c[r]=n.index;var i=u[r]=n._fullInput.index;s[r]=t.data[i].dimensions,l[r]=t.data[i].dimensions.slice()});n(t,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{filterChanged:function(e,n,i){var a=l[e][n],o=i.map(function(t){return t.slice()}),s="dimensions["+n+"].constraintrange",h=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===h[s]){var f=a.constraintrange;h[s]=f||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),a.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete a.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit("plotly_restyle",[d,[u[e]]])},hover:function(e){t.emit("plotly_hover",e)},unhover:function(e){t.emit("plotly_unhover",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return o(t,e,r)-o(t,e,n)}}(r,l[e].filter(a));s[e].sort(n),l[e].filter(function(t){return!a(t)}).sort(function(t){return 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n=t("../../plots/attributes"),i=t("../../plots/domain").attributes,a=t("../../plots/font_attributes"),o=t("../../components/color/attributes"),s=t("../../components/fx/hovertemplate_attributes"),l=t("../../lib/extend").extendFlat,c=a({editType:"plot",arrayOk:!0,colorEditType:"plot"});e.exports={labels:{valType:"data_array",editType:"calc"},label0:{valType:"number",dflt:0,editType:"calc"},dlabel:{valType:"number",dflt:1,editType:"calc"},values:{valType:"data_array",editType:"calc"},marker:{colors:{valType:"data_array",editType:"calc"},line:{color:{valType:"color",dflt:o.defaultLine,arrayOk:!0,editType:"style"},width:{valType:"number",min:0,dflt:0,arrayOk:!0,editType:"style"},editType:"calc"},editType:"calc"},text:{valType:"data_array",editType:"calc"},hovertext:{valType:"string",dflt:"",arrayOk:!0,editType:"style"},scalegroup:{valType:"string",dflt:"",editType:"calc"},textinfo:{valType:"flaglist",flags:["label","text","value","percent"],extras:["none"],editType:"calc"},hoverinfo:l({},n.hoverinfo,{flags:["label","text","value","percent","name"]}),hovertemplate:s({},{keys:["label","color","value","percent","text"]}),textposition:{valType:"enumerated",values:["inside","outside","auto","none"],dflt:"auto",arrayOk:!0,editType:"plot"},textfont:l({},c,{}),insidetextfont:l({},c,{}),outsidetextfont:l({},c,{}),title:{text:{valType:"string",dflt:"",editType:"plot"},font:l({},c,{}),position:{valType:"enumerated",values:["top 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r,n=JSON.stringify(t),i=e[n];if(!i){for(i=t.slice(),r=0;r<t.length;r++)i.push(a(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)i.push(a(t[r]).darken(20).toHexString());e[n]=i}return i}e.exports={calc:function(t,e){var r,a,o=[],c=t._fullLayout,h=c.hiddenlabels||[],f=e.labels,p=e.marker.colors||[],d=e.values,g=i(d)&&d.length;if(e.dlabel)for(f=new Array(d.length),r=0;r<d.length;r++)f[r]=String(e.label0+r*e.dlabel);var v={},m=u(c["_"+e.type+"colormap"]),y=(g?d:f).length,x=0,b=!1;for(r=0;r<y;r++){var _,w,k;if(g){if(_=d[r],!n(_))continue;if((_=+_)<0)continue}else _=1;void 0!==(w=f[r])&&""!==w||(w=r);var T=v[w=String(w)];void 0===T?(v[w]=o.length,(k=-1!==h.indexOf(w))||(x+=_),o.push({v:_,label:w,color:m(p[r],w),i:r,pts:[r],hidden:k})):(b=!0,(a=o[T]).v+=_,a.pts.push(r),a.hidden||(x+=_),!1===a.color&&p[r]&&(a.color=m(p[r],w)))}("funnelarea"===e.type?b:e.sort)&&o.sort(function(t,e){return e.v-t.v}),o[0]&&(o[0].vTotal=x);var A=e.textinfo;if(A&&"none"!==A){var M,S=A.split("+"),E=function(t){return-1!==S.indexOf(t)},C=E("label"),L=E("text"),P=E("value"),O=E("percent"),z=c.separators;for(r=0;r<o.length;r++){if(a=o[r],M=C?[a.label]:[],L){var I=s.getFirstFilled(e.text,a.pts);l(I)&&M.push(I)}P&&M.push(s.formatPieValue(a.v,z)),O&&M.push(s.formatPiePercent(a.v/x,z)),a.text=M.join("<br>")}}return o},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r="pie");var n=t._fullLayout,i=t.calcdata,a=n[r+"colorway"],o=n["_"+r+"colormap"];n["extend"+r+"colors"]&&(a=h(a,c));for(var s=0,l=0;l<i.length;l++){var u=i[l];if(u[0].trace.type===r)for(var f=0;f<u.length;f++){var p=u[f];!1===p.color&&(o[p.label]?p.color=o[p.label]:(o[p.label]=p.color=a[s%a.length],s++))}}},makePullColorFn:u,generateExtendedColors:h}},{"../../components/color":593,"../../lib":719,"./helpers":1091,"fast-isnumeric":225,tinycolor2:537}],1089:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./attributes"),a=t("../../plots/domain").defaults,o=t("../bar/defaults").handleText;e.exports=function(t,e,r,s){function l(r,a){return n.coerce(t,e,i,r,a)}var c,u=l("values"),h=n.isArrayOrTypedArray(u),f=l("labels");if(Array.isArray(f)?(c=f.length,h&&(c=Math.min(c,u.length))):h&&(c=u.length,l("label0"),l("dlabel")),c){e._length=c,l("marker.line.width")&&l("marker.line.color"),l("marker.colors"),l("scalegroup");var p=l("text"),d=l("textinfo",Array.isArray(p)?"text+percent":"percent");if(l("hovertext"),l("hovertemplate"),d&&"none"!==d){var g=l("textposition");o(t,e,s,l,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1})}a(e,s,l);var v=l("hole");if(l("title.text")){var m=l("title.position",v?"middle center":"top center");v||"middle center"!==m||(e.title.position="top center"),n.coerceFont(l,"title.font",s.font)}l("sort"),l("direction"),l("rotation"),l("pull")}else e.visible=!1}},{"../../lib":719,"../../plots/domain":792,"../bar/defaults":861,"./attributes":1086}],1090:[function(t,e,r){"use strict";var n=t("../../components/fx/helpers").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),"funnelarea"===e.type&&(delete r.v,delete r.i),r}},{"../../components/fx/helpers":628}],1091:[function(t,e,r){"use strict";var n=t("../../lib");r.formatPiePercent=function(t,e){var r=(100*t).toPrecision(3);return-1!==r.lastIndexOf(".")&&(r=r.replace(/[.]?0+$/,"")),n.numSeparate(r,e)+"%"},r.formatPieValue=function(t,e){var r=t.toPrecision(10);return-1!==r.lastIndexOf(".")&&(r=r.replace(/[.]?0+$/,"")),n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n)return n}},r.castOption=function(t,e){return Array.isArray(t)?r.getFirstFilled(t,e):t||void 0}},{"../../lib":719}],1092:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),supplyLayoutDefaults:t("./layout_defaults"),layoutAttributes:t("./layout_attributes"),calc:t("./calc").calc,crossTraceCalc:t("./calc").crossTraceCalc,plot:t("./plot").plot,style:t("./style"),styleOne:t("./style_one"),moduleType:"trace",name:"pie",basePlotModule:t("./base_plot"),categories:["pie-like","pie","showLegend"],meta:{}}},{"./attributes":1086,"./base_plot":1087,"./calc":1088,"./defaults":1089,"./layout_attributes":1093,"./layout_defaults":1094,"./plot":1095,"./style":1096,"./style_one":1097}],1093:[function(t,e,r){"use strict";e.exports={hiddenlabels:{valType:"data_array",editType:"calc"},piecolorway:{valType:"colorlist",editType:"calc"},extendpiecolors:{valType:"boolean",dflt:!0,editType:"calc"}}},{}],1094:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./layout_attributes");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r("hiddenlabels"),r("piecolorway",e.colorway),r("extendpiecolors")}},{"../../lib":719,"./layout_attributes":1093}],1095:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../components/fx"),a=t("../../components/color"),o=t("../../components/drawing"),s=t("../../lib"),l=t("../../lib/svg_text_utils"),c=t("./helpers"),u=t("./event_data");function h(t,e,r){var a=r[0],o=a.trace,l=a.cx,h=a.cy;"_hasHoverLabel"in o||(o._hasHoverLabel=!1),"_hasHoverEvent"in o||(o._hasHoverEvent=!1),t.on("mouseover",function(t){var r=e._fullLayout,f=e._fullData[o.index];if(!e._dragging&&!1!==r.hovermode){var p=f.hoverinfo;if(Array.isArray(p)&&(p=i.castHoverinfo({hoverinfo:[c.castOption(p,t.pts)],_module:o._module},r,0)),"all"===p&&(p="label+text+value+percent+name"),f.hovertemplate||"none"!==p&&"skip"!==p&&p){var d=t.rInscribed||0,g=l+t.pxmid[0]*(1-d),v=h+t.pxmid[1]*(1-d),m=r.separators,y=[];if(p&&-1!==p.indexOf("label")&&y.push(t.label),t.text=c.castOption(f.hovertext||f.text,t.pts),p&&-1!==p.indexOf("text")){var x=t.text;s.isValidTextValue(x)&&y.push(x)}t.value=t.v,t.valueLabel=c.formatPieValue(t.v,m),p&&-1!==p.indexOf("value")&&y.push(t.valueLabel),t.percent=t.v/a.vTotal,t.percentLabel=c.formatPiePercent(t.percent,m),p&&-1!==p.indexOf("percent")&&y.push(t.percentLabel);var b=f.hoverlabel,_=b.font;i.loneHover({trace:o,x0:g-d*a.r,x1:g+d*a.r,y:v,text:y.join("<br>"),name:f.hovertemplate||-1!==p.indexOf("name")?f.name:void 0,idealAlign:t.pxmid[0]<0?"left":"right",color:c.castOption(b.bgcolor,t.pts)||t.color,borderColor:c.castOption(b.bordercolor,t.pts),fontFamily:c.castOption(_.family,t.pts),fontSize:c.castOption(_.size,t.pts),fontColor:c.castOption(_.color,t.pts),nameLength:c.castOption(b.namelength,t.pts),textAlign:c.castOption(b.align,t.pts),hovertemplate:c.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[u(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e}),o._hasHoverLabel=!0}o._hasHoverEvent=!0,e.emit("plotly_hover",{points:[u(t,f)],event:n.event})}}),t.on("mouseout",function(t){var r=e._fullLayout,a=e._fullData[o.index],s=n.select(this).datum();o._hasHoverEvent&&(t.originalEvent=n.event,e.emit("plotly_unhover",{points:[u(s,a)],event:n.event}),o._hasHoverEvent=!1),o._hasHoverLabel&&(i.loneUnhover(r._hoverlayer.node()),o._hasHoverLabel=!1)}),t.on("click",function(t){var r=e._fullLayout,a=e._fullData[o.index];e._dragging||!1===r.hovermode||(e._hoverdata=[u(t,a)],i.click(e,n.event))})}function f(t,e,r){var n=c.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=c.castOption(t._input.textfont.color,e.pts));var i=c.castOption(t.insidetextfont.family,e.pts)||c.castOption(t.textfont.family,e.pts)||r.family,o=c.castOption(t.insidetextfont.size,e.pts)||c.castOption(t.textfont.size,e.pts)||r.size;return{color:n||a.contrast(e.color),family:i,size:o}}function p(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=s.templateString(a,n._meta));var c=o.tester.append("text").attr("data-notex",1).text(a).call(o.font,n.title.font).call(l.convertToTspans,e),u=o.bBox(c.node(),!0);r.titleBox={width:u.width,height:u.height},c.remove()}}function d(t,e,r){var n=Math.sqrt(t.width*t.width+t.height*t.height),i=t.width/t.height,a=e.halfangle,o=e.ring,s=e.rInscribed,l=r.r||e.rpx1,c={scale:s*l*2/n,rCenter:1-s,rotate:0};if(c.scale>=1)return c;var u=i+1/(2*Math.tan(a)),h=l*Math.min(1/(Math.sqrt(u*u+.5)+u),o/(Math.sqrt(i*i+o/2)+i)),f={scale:2*h/t.height,rCenter:Math.cos(h/l)-h*i/l,rotate:(180/Math.PI*e.midangle+720)%180-90},p=1/i,d=p+1/(2*Math.tan(a)),g=l*Math.min(1/(Math.sqrt(d*d+.5)+d),o/(Math.sqrt(p*p+o/2)+p)),v={scale:2*g/t.width,rCenter:Math.cos(g/l)-g/i/l,rotate:(180/Math.PI*e.midangle+810)%180-90},m=v.scale>f.scale?v:f;return c.scale<1&&m.scale>c.scale?m:c}function g(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function v(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function m(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=x(a),-1!==a.title.position.indexOf("top")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf("bottom")&&(o.y+=(1+i)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),h=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf("left")?(h+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf("center")?h*=2:-1!==a.title.position.indexOf("right")&&(h+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=h/t.titleBox.width,n=y(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function y(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function x(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function b(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&"middle center"!==a.title.position&&(l-=y(i,e));var c=s/2,u=l/2;"funnelarea"!==a.type||a.scalegroup||(u/=a.aspectratio),i.r=Math.min(c,u)/(1+x(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf("bottom")&&(i.cy-=y(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var l;if("pie"===i.type)l=r.r*r.r;else if("funnelarea"===i.type){var c,u;i.aspectratio>1?(c=r.r,u=c/i.aspectratio):(u=r.r,c=u*i.aspectratio),c*=(1+i.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var h=o*r.vTotal;"funnelarea"===i.type&&(h/=(1+i.baseratio)/2,h/=i.aspectratio),r.r=Math.sqrt(h)}}}(t,r)}e.exports={plot:function(t,e){var r=t._fullLayout;p(e,t),b(e,r._size);var i=s.makeTraceGroups(r._pielayer,e,"trace").each(function(e){var i=n.select(this),u=e[0],p=u.trace;!function(t){var e,r,n,i=t[0],a=i.trace,o=a.rotation*Math.PI/180,s=2*Math.PI/i.vTotal,l="px0",c="px1";if("counterclockwise"===a.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;o+=s*t[e].v,s*=-1,l="px1",c="px0"}function u(t){return[i.r*Math.sin(t),-i.r*Math.cos(t)]}for(n=u(o),e=0;e<t.length;e++)(r=t[e]).hidden||(r[l]=n,o+=s*r.v/2,r.pxmid=u(o),r.midangle=o,o+=s*r.v/2,n=u(o),r[c]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-a.hole,r.rInscribed=g(r,i))}(e),i.attr("stroke-linejoin","round"),i.each(function(){var i=n.select(this).selectAll("g.slice").data(e);i.enter().append("g").classed("slice",!0),i.exit().remove();var g=[[[],[]],[[],[]]],y=!1;i.each(function(r){if(r.hidden)n.select(this).selectAll("path,g").remove();else{r.pointNumber=r.i,r.curveNumber=p.index,g[r.pxmid[1]<0?0:1][r.pxmid[0]<0?0:1].push(r);var i=u.cx,a=u.cy,m=n.select(this),x=m.selectAll("path.surface").data([r]);if(x.enter().append("path").classed("surface",!0).style({"pointer-events":"all"}),m.call(h,t,e),p.pull){var b=+c.castOption(p.pull,r.pts)||0;b>0&&(i+=b*r.pxmid[0],a+=b*r.pxmid[1])}r.cxFinal=i,r.cyFinal=a;var _=p.hole;if(r.v===u.vTotal){var w="M"+(i+r.px0[0])+","+(a+r.px0[1])+S(r.px0,r.pxmid,!0,1)+S(r.pxmid,r.px0,!0,1)+"Z";_?x.attr("d","M"+(i+_*r.px0[0])+","+(a+_*r.px0[1])+S(r.px0,r.pxmid,!1,_)+S(r.pxmid,r.px0,!1,_)+"Z"+w):x.attr("d",w)}else{var k=S(r.px0,r.px1,!0,1);if(_){var T=1-_;x.attr("d","M"+(i+_*r.px1[0])+","+(a+_*r.px1[1])+S(r.px1,r.px0,!1,_)+"l"+T*r.px0[0]+","+T*r.px0[1]+k+"Z")}else x.attr("d","M"+i+","+a+"l"+r.px0[0]+","+r.px0[1]+k+"Z")}var A=c.castOption(p.textposition,r.pts),M=m.selectAll("g.slicetext").data(r.text&&"none"!==A?[0]:[]);M.enter().append("g").classed("slicetext",!0),M.exit().remove(),M.each(function(){var e=s.ensureSingle(n.select(this),"text","",function(t){t.attr("data-notex",1)});e.text(r.text).attr({class:"slicetext",transform:"","text-anchor":"middle"}).call(o.font,"outside"===A?function(t,e,r){var n=c.castOption(t.outsidetextfont.color,e.pts)||c.castOption(t.textfont.color,e.pts)||r.color,i=c.castOption(t.outsidetextfont.family,e.pts)||c.castOption(t.textfont.family,e.pts)||r.family,a=c.castOption(t.outsidetextfont.size,e.pts)||c.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:i,size:a}}(p,r,t._fullLayout.font):f(p,r,t._fullLayout.font)).call(l.convertToTspans,t);var h,g=o.bBox(e.node());"outside"===A?h=v(g,r):(h=d(g,r,u),"auto"===A&&h.scale<1&&(e.call(o.font,p.outsidetextfont),p.outsidetextfont.family===p.insidetextfont.family&&p.outsidetextfont.size===p.insidetextfont.size||(g=o.bBox(e.node())),h=v(g,r)));var m=i+r.pxmid[0]*h.rCenter+(h.x||0),x=a+r.pxmid[1]*h.rCenter+(h.y||0);h.outside&&(r.yLabelMin=x-g.height/2,r.yLabelMid=x,r.yLabelMax=x+g.height/2,r.labelExtraX=0,r.labelExtraY=0,y=!0),e.attr("transform","translate("+m+","+x+")"+(h.scale<1?"scale("+h.scale+")":"")+(h.rotate?"rotate("+h.rotate+")":"")+"translate("+-(g.left+g.right)/2+","+-(g.top+g.bottom)/2+")")})}function S(t,e,n,i){var a=i*(e[0]-t[0]),o=i*(e[1]-t[1]);return"a"+i*u.r+","+i*u.r+" 0 "+r.largeArc+(n?" 1 ":" 0 ")+a+","+o}});var x=n.select(this).selectAll("g.titletext").data(p.title.text?[0]:[]);x.enter().append("g").classed("titletext",!0),x.exit().remove(),x.each(function(){var e,i=s.ensureSingle(n.select(this),"text","",function(t){t.attr("data-notex",1)}),a=p.title.text;p._meta&&(a=s.templateString(a,p._meta)),i.text(a).attr({class:"titletext",transform:"","text-anchor":"middle"}).call(o.font,p.title.font).call(l.convertToTspans,t),e="middle center"===p.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(u):m(u,r._size),i.attr("transform","translate("+e.x+","+e.y+")"+(e.scale<1?"scale("+e.scale+")":"")+"translate("+e.tx+","+e.ty+")")}),y&&function(t,e){var r,n,i,a,o,s,l,u,h,f,p,d,g;function v(t,e){return t.pxmid[1]-e.pxmid[1]}function m(t,e){return e.pxmid[1]-t.pxmid[1]}function y(t,r){r||(r={});var i,u,h,p,d,g,v=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),m=n?t.yLabelMin:t.yLabelMax,y=n?t.yLabelMax:t.yLabelMin,x=t.cyFinal+o(t.px0[1],t.px1[1]),b=v-m;if(b*l>0&&(t.labelExtraY=b),Array.isArray(e.pull))for(u=0;u<f.length;u++)(h=f[u])===t||(c.castOption(e.pull,t.pts)||0)>=(c.castOption(e.pull,h.pts)||0)||((t.pxmid[1]-h.pxmid[1])*l>0?(p=h.cyFinal+o(h.px0[1],h.px1[1]),(b=p-m-t.labelExtraY)*l>0&&(t.labelExtraY+=b)):(y+t.labelExtraY-x)*l>0&&(i=3*s*Math.abs(u-f.indexOf(t)),d=h.cxFinal+a(h.px0[0],h.px1[0]),(g=d+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=g)))}for(n=0;n<2;n++)for(i=n?v:m,o=n?Math.max:Math.min,l=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(u=t[n][r]).sort(i),h=t[1-n][r],f=h.concat(u),d=[],p=0;p<u.length;p++)void 0!==u[p].yLabelMid&&d.push(u[p]);for(g=!1,p=0;n&&p<h.length;p++)if(void 0!==h[p].yLabelMid){g=h[p];break}for(p=0;p<d.length;p++){var x=p&&d[p-1];g&&!p&&(x=g),y(d[p],x)}}}(g,p),function(t,e){t.each(function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var i=r.select("g.slicetext text");i.attr("transform","translate("+t.labelExtraX+","+t.labelExtraY+")"+i.attr("transform"));var o=t.cxFinal+t.pxmid[0],l=t.cyFinal+t.pxmid[1],c="M"+o+","+l,u=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var h=t.labelExtraX*t.pxmid[1]/t.pxmid[0],f=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(h)>Math.abs(f)?c+="l"+f*t.pxmid[0]/t.pxmid[1]+","+f+"H"+(o+t.labelExtraX+u):c+="l"+t.labelExtraX+","+h+"v"+(f-h)+"h"+u}else c+="V"+(t.yLabelMid+t.labelExtraY)+"h"+u;s.ensureSingle(r,"path","textline").call(a.stroke,e.outsidetextfont.color).attr({"stroke-width":Math.min(2,e.outsidetextfont.size/8),d:c,fill:"none"})}else r.select("path.textline").remove()})}(i,p)})});setTimeout(function(){i.selectAll("tspan").each(function(){var t=n.select(this);t.attr("dy")&&t.attr("dy",t.attr("dy"))})},0)},transformInsideText:d,determineInsideTextFont:f,positionTitleOutside:m,prerenderTitles:p,layoutAreas:b,attachFxHandlers:h}},{"../../components/color":593,"../../components/drawing":614,"../../components/fx":632,"../../lib":719,"../../lib/svg_text_utils":743,"./event_data":1090,"./helpers":1091,d3:163}],1096:[function(t,e,r){"use strict";var n=t("d3"),i=t("./style_one");e.exports=function(t){t._fullLayout._pielayer.selectAll(".trace").each(function(t){var e=t[0].trace,r=n.select(this);r.style({opacity:e.opacity}),r.selectAll("path.surface").each(function(t){n.select(this).call(i,t,e)})})}},{"./style_one":1097,d3:163}],1097:[function(t,e,r){"use strict";var n=t("../../components/color"),i=t("./helpers").castOption;e.exports=function(t,e,r){var a=r.marker.line,o=i(a.color,e.pts)||n.defaultLine,s=i(a.width,e.pts)||0;t.style("stroke-width",s).call(n.fill,e.color).call(n.stroke,o)}},{"../../components/color":593,"./helpers":1091}],1098:[function(t,e,r){"use strict";var n=t("../scatter/attributes");e.exports={x:n.x,y:n.y,xy:{valType:"data_array",editType:"calc"},indices:{valType:"data_array",editType:"calc"},xbounds:{valType:"data_array",editType:"calc"},ybounds:{valType:"data_array",editType:"calc"},text:n.text,marker:{color:{valType:"color",arrayOk:!1,editType:"calc"},opacity:{valType:"number",min:0,max:1,dflt:1,arrayOk:!1,editType:"calc"},blend:{valType:"boolean",dflt:null,editType:"calc"},sizemin:{valType:"number",min:.1,max:2,dflt:.5,editType:"calc"},sizemax:{valType:"number",min:.1,dflt:20,editType:"calc"},border:{color:{valType:"color",arrayOk:!1,editType:"calc"},arearatio:{valType:"number",min:0,max:1,dflt:0,editType:"calc"},editType:"calc"},editType:"calc"},transforms:void 0}},{"../scatter/attributes":1112}],1099:[function(t,e,r){"use strict";var n=t("gl-pointcloud2d"),i=t("../../lib/str2rgbarray"),a=t("../../plots/cartesian/autorange").findExtremes,o=t("../scatter/get_trace_color");function s(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=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var l=s.prototype;l.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}},l.update=function(t){this.index=t.index,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=o(t,{})},l.updateFast=function(t){var e,r,n,o,s,l,c=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,h=this.pickXYData=t.xy,f=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(h){if(n=h,e=h.length>>>1,f)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;l<e;l++)o=n[2*l],s=n[2*l+1],o<d[0]&&(d[0]=o),o>d[2]&&(d[2]=o),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;l<e;l++)r[l]=l}else for(e=c.length,n=new Float32Array(2*e),r=new Int32Array(e),l=0;l<e;l++)o=c[l],s=u[l],r[l]=l,n[2*l]=o,n[2*l+1]=s,o<d[0]&&(d[0]=o),o>d[2]&&(d[2]=o),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);this.idToIndex=r,this.pointcloudOptions.idToIndex=r,this.pointcloudOptions.positions=n;var g=i(t.marker.color),v=i(t.marker.border.color),m=t.opacity*t.marker.opacity;g[3]*=m,this.pointcloudOptions.color=g;var y=t.marker.blend;if(null===y){y=c.length<100||u.length<100}this.pointcloudOptions.blend=y,v[3]*=m,this.pointcloudOptions.borderColor=v;var x=t.marker.sizemin,b=Math.max(t.marker.sizemax,t.marker.sizemin);this.pointcloudOptions.sizeMin=x,this.pointcloudOptions.sizeMax=b,this.pointcloudOptions.areaRatio=t.marker.border.arearatio,this.pointcloud.update(this.pointcloudOptions);var _=this.scene.xaxis,w=this.scene.yaxis,k=b/2||.5;t._extremes[_._id]=a(_,[d[0],d[2]],{ppad:k}),t._extremes[w._id]=a(w,[d[1],d[3]],{ppad:k})},l.dispose=function(){this.pointcloud.dispose()},e.exports=function(t,e){var r=new s(t,e.uid);return 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n="bgsankey-"+e.trace.uid+"-"+r;h.ensureSingle(t._fullLayout._draggers,"rect",n),t._fullData[r]._bgRect=i.select("."+n),t._fullData[r]._bgRect.style("pointer-events","all").attr("width",e.width).attr("height",e.height).attr("x",e.translateX).attr("y",e.translateY).classed("bgsankey",!0).style({fill:"transparent","stroke-width":0})}),_.transition().ease(n.ease).duration(n.duration).attr("transform",T);var z=_.selectAll("."+n.cn.sankeyLinks).data(d,p);z.enter().append("g").classed(n.cn.sankeyLinks,!0).style("fill","none");var I=z.selectAll("."+n.cn.sankeyLink).data(function(t){return t.graph.links.filter(function(t){return t.value}).map(function(t,e,r){var n=a(e.color),i=e.source.label+"|"+e.target.label+"__"+r;return 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t._context.staticPlot||v||m?1:0}).transition().ease(n.ease).duration(n.duration).style("opacity",1),I.exit().transition().ease(n.ease).duration(n.duration).style("opacity",0).remove();var D=_.selectAll("."+n.cn.sankeyNodeSet).data(d,p);D.enter().append("g").classed(n.cn.sankeyNodeSet,!0),D.style("cursor",function(t){switch(t.arrangement){case"fixed":return"default";case"perpendicular":return"ns-resize";default:return"move"}});var R=D.selectAll("."+n.cn.sankeyNode).data(function(t){var e=t.graph.nodes;return function(t){var e,r=[];for(e=0;e<t.length;e++)t[e].originalX=(t[e].x0+t[e].x1)/2,t[e].originalY=(t[e].y0+t[e].y1)/2,-1===r.indexOf(t[e].originalX)&&r.push(t[e].originalX);for(r.sort(function(t,e){return t-e}),e=0;e<t.length;e++)t[e].originalLayerIndex=r.indexOf(t[e].originalX),t[e].originalLayer=t[e].originalLayerIndex/(r.length-1)}(e),e.map(function(t,e){var r=a(e.color),i=n.nodePadAcross,s=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var l=e.dx,c=Math.max(.5,e.dy),u="node_"+e.pointNumber;return e.group&&(u=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:u,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(l),visibleHeight:c,zoneX:-i,zoneY:-s,zoneWidth:l+2*i,zoneHeight:c+2*s,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:o.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,u].join("_"),interactionState:t.interactionState,figure:t}}.bind(null,t))},p);R.enter().append("g").classed(n.cn.sankeyNode,!0).call(x).style("opacity",function(e){return!t._context.staticPlot&&!v||e.partOfGroup?0:1}),R.call(P,_,f.nodeEvents).call(O,I,f,t),R.transition().ease(n.ease).duration(n.duration).call(x).style("opacity",function(t){return t.partOfGroup?0:1}),R.exit().transition().ease(n.ease).duration(n.duration).style("opacity",0).remove();var F=R.selectAll("."+n.cn.nodeRect).data(d);F.enter().append("rect").classed(n.cn.nodeRect,!0).call(w),F.style("stroke-width",function(t){return t.nodeLineWidth}).style("stroke",function(t){return o.tinyRGB(a(t.nodeLineColor))}).style("stroke-opacity",function(t){return o.opacity(t.nodeLineColor)}).style("fill",function(t){return t.tinyColorHue}).style("fill-opacity",function(t){return t.tinyColorAlpha}),F.transition().ease(n.ease).duration(n.duration).call(w);var B=R.selectAll("."+n.cn.nodeCapture).data(d);B.enter().append("rect").classed(n.cn.nodeCapture,!0).style("fill-opacity",0),B.attr("x",function(t){return t.zoneX}).attr("y",function(t){return t.zoneY}).attr("width",function(t){return t.zoneWidth}).attr("height",function(t){return t.zoneHeight});var 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n=t("../../components/fx/hovertemplate_attributes"),i=t("../../components/colorscale/attributes"),a=t("../../plots/font_attributes"),o=t("../../components/drawing/attributes").dash,s=t("../../components/drawing"),l=t("./constants"),c=t("../../lib/extend").extendFlat;e.exports={x:{valType:"data_array",editType:"calc+clearAxisTypes",anim:!0},x0:{valType:"any",dflt:0,editType:"calc+clearAxisTypes",anim:!0},dx:{valType:"number",dflt:1,editType:"calc",anim:!0},y:{valType:"data_array",editType:"calc+clearAxisTypes",anim:!0},y0:{valType:"any",dflt:0,editType:"calc+clearAxisTypes",anim:!0},dy:{valType:"number",dflt:1,editType:"calc",anim:!0},stackgroup:{valType:"string",dflt:"",editType:"calc"},orientation:{valType:"enumerated",values:["v","h"],editType:"calc"},groupnorm:{valType:"enumerated",values:["","fraction","percent"],dflt:"",editType:"calc"},stackgaps:{valType:"enumerated",values:["infer zero","interpolate"],dflt:"infer 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y={padded:!0},x={padded:!0};l&&(y.ppad=x.ppad=l);var b=c<2||i[0]!==i[c-1]||o[0]!==o[c-1];b&&("tozerox"===m||"tonextx"===m&&(p||"h"===v))?y.tozero=!0:(e.error_y||{}).visible||"tonexty"!==m&&"tozeroy"!==m&&(s.hasMarkers(e)||s.hasText(e))||(y.padded=!1,y.ppad=0),b&&("tozeroy"===m||"tonexty"===m&&(p||"v"===v))?x.tozero=!0:"tonextx"!==m&&"tozerox"!==m||(x.padded=!1),h&&(e._extremes[h]=a.findExtremes(r,i,y)),f&&(e._extremes[f]=a.findExtremes(n,o,x))}function f(t,e){if(s.hasMarkers(t)){var r,n=t.marker,o=1.6*(t.marker.sizeref||1);if(r="area"===t.marker.sizemode?function(t){return Math.max(Math.sqrt((t||0)/o),3)}:function(t){return Math.max((t||0)/o,3)},i.isArrayOrTypedArray(n.size)){var l={type:"linear"};a.setConvert(l);for(var c=l.makeCalcdata(t.marker,"size"),u=new Array(e),h=0;h<e;h++)u[h]=r(c[h]);return u}return r(n.size)}}function p(t,e){var r=d(e),n=t._firstScatter;n[r]||(n[r]=e.uid)}function d(t){var e=t.stackgroup;return t.xaxis+t.yaxis+t.type+(e?"-"+e:"")}function g(t,e,r,n){var 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n=t("../../components/colorscale/helpers").hasColorscale,i=t("../../components/colorscale/calc"),a=t("./subtypes");e.exports=function(t,e){a.hasLines(e)&&n(e,"line")&&i(t,e,{vals:e.line.color,containerStr:"line",cLetter:"c"}),a.hasMarkers(e)&&(n(e,"marker")&&i(t,e,{vals:e.marker.color,containerStr:"marker",cLetter:"c"}),n(e,"marker.line")&&i(t,e,{vals:e.marker.line.color,containerStr:"marker.line",cLetter:"c"}))}},{"../../components/colorscale/calc":601,"../../components/colorscale/helpers":604,"./subtypes":1135}],1116:[function(t,e,r){"use strict";e.exports={PTS_LINESONLY:20,minTolerance:.2,toleranceGrowth:10,maxScreensAway:20,eventDataKeys:[]}},{}],1117:[function(t,e,r){"use strict";var n=t("./calc");function i(t,e,r,n,i,a,o){i[n]=!0;var s={i:null,gap:!0,s:0};if(s[o]=r,t.splice(e,0,s),e&&r===t[e-1][o]){var l=t[e-1];s.s=l.s,s.i=l.i,s.gap=l.gap}else a&&(s.s=function(t,e,r,n){var i=t[e-1],a=t[e+1];return 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n=t("../../lib"),i=t("../../registry"),a=t("./attributes"),o=t("./constants"),s=t("./subtypes"),l=t("./xy_defaults"),c=t("./stack_defaults"),u=t("./marker_defaults"),h=t("./line_defaults"),f=t("./line_shape_defaults"),p=t("./text_defaults"),d=t("./fillcolor_defaults");e.exports=function(t,e,r,g){function v(r,i){return n.coerce(t,e,a,r,i)}var m=l(t,e,g,v);if(m||(e.visible=!1),e.visible){var y=c(t,e,g,v),x=!y&&m<o.PTS_LINESONLY?"lines+markers":"lines";v("text"),v("hovertext"),v("mode",x),s.hasLines(e)&&(h(t,e,r,g,v),f(t,e,v),v("connectgaps"),v("line.simplify")),s.hasMarkers(e)&&u(t,e,r,g,v,{gradient:!0}),s.hasText(e)&&p(t,e,g,v);var b=[];(s.hasMarkers(e)||s.hasText(e))&&(v("cliponaxis"),v("marker.maxdisplayed"),b.push("points")),v("fill",y?y.fillDflt:"none"),"none"!==e.fill&&(d(t,e,r,v),s.hasLines(e)||f(t,e,v));var 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n=t("../../components/color"),i=t("./subtypes");e.exports=function(t,e){var r,a;if("lines"===t.mode)return(r=t.line.color)&&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:"")?n.opacity(a)<.3?n.addOpacity(a,.3):a:(r=(t.line||{}).color)&&n.opacity(r)&&i.hasLines(t)&&t.line.width?r:t.fillcolor}},{"../../components/color":593,"./subtypes":1135}],1122:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/fx"),a=t("../../registry"),o=t("./get_trace_color"),s=t("../../components/color"),l=n.fillText;e.exports=function(t,e,r,c){var u=t.cd,h=u[0].trace,f=t.xa,p=t.ya,d=f.c2p(e),g=p.c2p(r),v=[d,g],m=h.hoveron||"",y=-1!==h.mode.indexOf("markers")?3:.5;if(-1!==m.indexOf("points")){var x=function(t){var e=Math.max(y,t.mrc||0),r=f.c2p(t.x)-d,n=p.c2p(t.y)-g;return 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n=e[0].trace;n.selectedpoints?(i.selectedPointStyle(r.selectAll("path.point"),n),i.selectedTextStyle(r.selectAll("text"),n)):(o(r,n,t),s(r,n,t))}}},{"../../components/drawing":614,"../../registry":847,d3:163}],1135:[function(t,e,r){"use strict";var n=t("../../lib");e.exports={hasLines:function(t){return t.visible&&t.mode&&-1!==t.mode.indexOf("lines")},hasMarkers:function(t){return t.visible&&(t.mode&&-1!==t.mode.indexOf("markers")||"splom"===t.type)},hasText:function(t){return t.visible&&t.mode&&-1!==t.mode.indexOf("text")},isBubble:function(t){return n.isPlainObject(t.marker)&&n.isArrayOrTypedArray(t.marker.size)}}},{"../../lib":719}],1136:[function(t,e,r){"use strict";var n=t("../../lib");e.exports=function(t,e,r,i,a){a=a||{},i("textposition"),n.coerceFont(i,"textfont",r.font),a.noSelect||(i("selected.textfont.color"),i("unselected.textfont.color"))}},{"../../lib":719}],1137:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../registry");e.exports=function(t,e,r,a){var o,s=a("x"),l=a("y");if(i.getComponentMethod("calendars","handleTraceDefaults")(t,e,["x","y"],r),s){var c=n.minRowLength(s);l?o=Math.min(c,n.minRowLength(l)):(o=c,a("y0"),a("dy"))}else{if(!l)return 0;o=n.minRowLength(l),a("x0"),a("dx")}return e._length=o,o}},{"../../lib":719,"../../registry":847}],1138:[function(t,e,r){"use strict";var n=t("../scatter/attributes"),i=t("../../components/colorscale/attributes"),a=t("../../components/fx/hovertemplate_attributes"),o=t("../../plots/attributes"),s=t("../../constants/gl3d_dashes"),l=t("../../constants/gl3d_markers"),c=t("../../lib/extend").extendFlat,u=t("../../plot_api/edit_types").overrideAll,h=n.line,f=n.marker,p=f.line,d=c({width:h.width,dash:{valType:"enumerated",values:Object.keys(s),dflt:"solid"}},i("line"));var g=e.exports=u({x:n.x,y:n.y,z:{valType:"data_array"},text:c({},n.text,{}),hovertext:c({},n.hovertext,{}),hovertemplate:a(),mode:c({},n.mode,{dflt:"lines+markers"}),surfaceaxis:{valType:"enumerated",values:[-1,0,1,2],dflt:-1},surfacecolor:{valType:"color"},projection:{x:{show:{valType:"boolean",dflt:!1},opacity:{valType:"number",min:0,max:1,dflt:1},scale:{valType:"number",min:0,max:10,dflt:2/3}},y:{show:{valType:"boolean",dflt:!1},opacity:{valType:"number",min:0,max:1,dflt:1},scale:{valType:"number",min:0,max:10,dflt:2/3}},z:{show:{valType:"boolean",dflt:!1},opacity:{valType:"number",min:0,max:1,dflt:1},scale:{valType:"number",min:0,max:10,dflt:2/3}}},connectgaps:n.connectgaps,line:d,marker:c({symbol:{valType:"enumerated",values:Object.keys(l),dflt:"circle",arrayOk:!0},size:c({},f.size,{dflt:8}),sizeref:f.sizeref,sizemin:f.sizemin,sizemode:f.sizemode,opacity:c({},f.opacity,{arrayOk:!1}),colorbar:f.colorbar,line:c({width:c({},p.width,{arrayOk:!1})},i("marker.line"))},i("marker")),textposition:c({},n.textposition,{dflt:"top 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l=a(+t[s],s);if("log"===i.type){var c=i.c2l(t[s]),u=t[s]-l[0],h=t[s]+l[1];if(o[s]=[(i.c2l(u,!0)-c)*r,(i.c2l(h,!0)-c)*r],u>0){var f=i.c2l(u);i._lowerLogErrorBound||(i._lowerLogErrorBound=f),i._lowerErrorBound=Math.min(i._lowerLogErrorBound,f)}}else o[s]=[-l[0]*r,l[1]*r]}return o}e.exports=function(t,e,r){var n=[i(t.x,t.error_x,e[0],r.xaxis),i(t.y,t.error_y,e[1],r.yaxis),i(t.z,t.error_z,e[2],r.zaxis)],a=function(t){for(var e=0;e<t.length;e++)if(t[e])return t[e].length;return 0}(n);if(0===a)return null;for(var o=new Array(a),s=0;s<a;s++){for(var l=[[0,0,0],[0,0,0]],c=0;c<3;c++)if(n[c])for(var u=0;u<2;u++)l[u][c]=n[c][s][u];o[s]=l}return o}},{"../../registry":847}],1141:[function(t,e,r){"use strict";var n=t("gl-line3d"),i=t("gl-scatter3d"),a=t("gl-error3d"),o=t("gl-mesh3d"),s=t("delaunay-triangulate"),l=t("../../lib"),c=t("../../lib/str2rgbarray"),u=t("../../lib/gl_format_color").formatColor,h=t("../scatter/make_bubble_size_func"),f=t("../../constants/gl3d_dashes"),p=t("../../constants/gl3d_markers"),d=t("./calc_errors");function g(t,e){this.scene=t,this.uid=e,this.linePlot=null,this.scatterPlot=null,this.errorBars=null,this.textMarkers=null,this.delaunayMesh=null,this.color=null,this.mode="",this.dataPoints=[],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.textLabels=null,this.data=null}var v=g.prototype;function m(t){return null==t?0:t.indexOf("left")>-1?-1:t.indexOf("right")>-1?1:0}function y(t){return null==t?0:t.indexOf("top")>-1?-1:t.indexOf("bottom")>-1?1:0}function x(t,e){return e(4*t)}function b(t){return p[t]}function _(t,e,r,n,i){var a=null;if(l.isArrayOrTypedArray(t)){a=[];for(var o=0;o<e;o++)void 0===t[o]?a[o]=n:a[o]=r(t[o],i)}else a=r(t,l.identity);return 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e}(e.textposition),a.textColor=u(e.textfont,1,C),a.textSize=_(e.textfont.size,C,l.identity,12),a.textFont=e.textfont.family,a.textAngle=0);var I=["x","y","z"];for(a.project=[!1,!1,!1],a.projectScale=[1,1,1],a.projectOpacity=[1,1,1],o=0;o<3;++o){var D=e.projection[I[o]];(a.project[o]=D.show)&&(a.projectOpacity[o]=D.opacity,a.projectScale[o]=D.scale)}a.errorBounds=d(e,g,p);var R=function(t){for(var e=[0,0,0],r=[[0,0,0],[0,0,0],[0,0,0]],n=[1,1,1],i=0;i<3;i++){var a=t[i];a&&!1!==a.copy_zstyle&&!1!==t[2].visible&&(a=t[2]),a&&a.visible&&(e[i]=a.width/2,r[i]=c(a.color),n[i]=a.thickness)}return{capSize:e,color:r,lineWidth:n}}([e.error_x,e.error_y,e.error_z]);return a.errorColor=R.color,a.errorLineWidth=R.lineWidth,a.errorCapSize=R.capSize,a.delaunayAxis=e.surfaceaxis,a.delaunayColor=c(e.surfacecolor),a}function k(t){if(Array.isArray(t)){var e=t[0];return Array.isArray(e)&&(t=e),"rgb("+t.slice(0,3).map(function(t){return Math.round(255*t)})+")"}return null}v.handlePick=function(t){if(t.object&&(t.object===this.linePlot||t.object===this.delaunayMesh||t.object===this.textMarkers||t.object===this.scatterPlot)){var e=t.index=t.data.index;return t.object.highlight&&t.object.highlight(null),this.scatterPlot&&(t.object=this.scatterPlot,this.scatterPlot.highlight(t.data)),t.textLabel="",this.textLabels&&(Array.isArray(this.textLabels)?(this.textLabels[e]||0===this.textLabels[e])&&(t.textLabel=this.textLabels[e]):t.textLabel=this.textLabels),t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]],!0}},v.update=function(t){var e,r,l,c,u=this.scene.glplot.gl,h=f.solid;this.data=t;var p=w(this.scene,t);"mode"in p&&(this.mode=p.mode),"lineDashes"in p&&p.lineDashes in f&&(h=f[p.lineDashes]),this.color=k(p.scatterColor)||k(p.lineColor),this.dataPoints=p.position,e={gl:this.scene.glplot.gl,position:p.position,color:p.lineColor,lineWidth:p.lineWidth||1,dashes:h[0],dashScale:h[1],opacity:t.opacity,connectGaps:t.connectgaps},-1!==this.mode.indexOf("lines")?this.linePlot?this.linePlot.update(e):(this.linePlot=n(e),this.linePlot._trace=this,this.scene.glplot.add(this.linePlot)):this.linePlot&&(this.scene.glplot.remove(this.linePlot),this.linePlot.dispose(),this.linePlot=null);var d=t.opacity;if(t.marker&&t.marker.opacity&&(d*=t.marker.opacity),r={gl:this.scene.glplot.gl,position:p.position,color:p.scatterColor,size:p.scatterSize,glyph:p.scatterMarker,opacity:d,orthographic:!0,lineWidth:p.scatterLineWidth,lineColor:p.scatterLineColor,project:p.project,projectScale:p.projectScale,projectOpacity:p.projectOpacity},-1!==this.mode.indexOf("markers")?this.scatterPlot?this.scatterPlot.update(r):(this.scatterPlot=i(r),this.scatterPlot._trace=this,this.scatterPlot.highlightScale=1,this.scene.glplot.add(this.scatterPlot)):this.scatterPlot&&(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose(),this.scatterPlot=null),c={gl:this.scene.glplot.gl,position:p.position,glyph:p.text,color:p.textColor,size:p.textSize,angle:p.textAngle,alignment:p.textOffset,font:p.textFont,orthographic:!0,lineWidth:0,project:!1,opacity:t.opacity},this.textLabels=t.hovertext||t.text,-1!==this.mode.indexOf("text")?this.textMarkers?this.textMarkers.update(c):(this.textMarkers=i(c),this.textMarkers._trace=this,this.textMarkers.highlightScale=1,this.scene.glplot.add(this.textMarkers)):this.textMarkers&&(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose(),this.textMarkers=null),l={gl:this.scene.glplot.gl,position:p.position,color:p.errorColor,error:p.errorBounds,lineWidth:p.errorLineWidth,capSize:p.errorCapSize,opacity:t.opacity},this.errorBars?p.errorBounds?this.errorBars.update(l):(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose(),this.errorBars=null):p.errorBounds&&(this.errorBars=a(l),this.errorBars._trace=this,this.scene.glplot.add(this.errorBars)),p.delaunayAxis>=0){var g=function(t,e,r){var n,i=(r+1)%3,a=(r+2)%3,o=[],l=[];for(n=0;n<t.length;++n){var c=t[n];!isNaN(c[i])&&isFinite(c[i])&&!isNaN(c[a])&&isFinite(c[a])&&(o.push([c[i],c[a]]),l.push(n))}var u=s(o);for(n=0;n<u.length;++n)for(var h=u[n],f=0;f<h.length;++f)h[f]=l[h[f]];return{positions:t,cells:u,meshColor:e}}(p.position,p.delaunayColor,p.delaunayAxis);g.opacity=t.opacity,this.delaunayMesh?this.delaunayMesh.update(g):(g.gl=u,this.delaunayMesh=o(g),this.delaunayMesh._trace=this,this.scene.glplot.add(this.delaunayMesh))}else this.delaunayMesh&&(this.scene.glplot.remove(this.delaunayMesh),this.delaunayMesh.dispose(),this.delaunayMesh=null)},v.dispose=function(){this.linePlot&&(this.scene.glplot.remove(this.linePlot),this.linePlot.dispose()),this.scatterPlot&&(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose()),this.errorBars&&(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose()),this.textMarkers&&(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose()),this.delaunayMesh&&(this.scene.glplot.remove(this.delaunayMesh),this.delaunayMesh.dispose())},e.exports=function(t,e){var r=new g(t,e.uid);return r.update(e),r}},{"../../constants/gl3d_dashes":692,"../../constants/gl3d_markers":693,"../../lib":719,"../../lib/gl_format_color":716,"../../lib/str2rgbarray":742,"../scatter/make_bubble_size_func":1128,"./calc_errors":1140,"delaunay-triangulate":165,"gl-error3d":247,"gl-line3d":255,"gl-mesh3d":280,"gl-scatter3d":297}],1142:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("../../lib"),a=t("../scatter/subtypes"),o=t("../scatter/marker_defaults"),s=t("../scatter/line_defaults"),l=t("../scatter/text_defaults"),c=t("./attributes");e.exports=function(t,e,r,u){function h(r,n){return i.coerce(t,e,c,r,n)}if(function(t,e,r,i){var a=0,o=r("x"),s=r("y"),l=r("z");n.getComponentMethod("calendars","handleTraceDefaults")(t,e,["x","y","z"],i),o&&s&&l&&(a=Math.min(o.length,s.length,l.length),e._length=e._xlength=e._ylength=e._zlength=a);return a}(t,e,h,u)){h("text"),h("hovertext"),h("hovertemplate"),h("mode"),a.hasLines(e)&&(h("connectgaps"),s(t,e,r,u,h)),a.hasMarkers(e)&&o(t,e,r,u,h,{noSelect:!0}),a.hasText(e)&&l(t,e,u,h,{noSelect:!0});var f=(e.line||{}).color,p=(e.marker||{}).color;h("surfaceaxis")>=0&&h("surfacecolor",f||p);for(var d=["x","y","z"],g=0;g<3;++g){var v="projection."+d[g];h(v+".show")&&(h(v+".opacity"),h(v+".scale"))}var m=n.getComponentMethod("errorbars","supplyDefaults");m(t,e,f||p||r,{axis:"z"}),m(t,e,f||p||r,{axis:"y",inherit:"z"}),m(t,e,f||p||r,{axis:"x",inherit:"z"})}else e.visible=!1}},{"../../lib":719,"../../registry":847,"../scatter/line_defaults":1124,"../scatter/marker_defaults":1130,"../scatter/subtypes":1135,"../scatter/text_defaults":1136,"./attributes":1138}],1143:[function(t,e,r){"use strict";e.exports={plot:t("./convert"),attributes:t("./attributes"),markerSymbols:t("../../constants/gl3d_markers"),supplyDefaults:t("./defaults"),colorbar:[{container:"marker",min:"cmin",max:"cmax"},{container:"line",min:"cmin",max:"cmax"}],calc:t("./calc"),moduleType:"trace",name:"scatter3d",basePlotModule:t("../../plots/gl3d"),categories:["gl3d","symbols","showLegend"],meta:{}}},{"../../constants/gl3d_markers":693,"../../plots/gl3d":807,"./attributes":1138,"./calc":1139,"./convert":1141,"./defaults":1142}],1144:[function(t,e,r){"use strict";var n=t("../scatter/attributes"),i=t("../../plots/attributes"),a=t("../../components/fx/hovertemplate_attributes"),o=t("../../components/colorscale/attributes"),s=t("../../lib/extend").extendFlat,l=n.marker,c=n.line,u=l.line;e.exports={carpet:{valType:"string",editType:"calc"},a:{valType:"data_array",editType:"calc"},b:{valType:"data_array",editType:"calc"},mode:s({},n.mode,{dflt:"markers"}),text:s({},n.text,{}),hovertext:s({},n.hovertext,{}),line:{color:c.color,width:c.width,dash:c.dash,shape:s({},c.shape,{values:["linear","spline"]}),smoothing:c.smoothing,editType:"calc"},connectgaps:n.connectgaps,fill:s({},n.fill,{values:["none","toself","tonext"],dflt:"none"}),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:u.width,editType:"calc"},o("marker.line")),gradient:l.gradient,editType:"calc"},o("marker")),textfont:n.textfont,textposition:n.textposition,selected:n.selected,unselected:n.unselected,hoverinfo:s({},i.hoverinfo,{flags:["a","b","text","name"]}),hoveron:n.hoveron,hovertemplate:a()}},{"../../components/colorscale/attributes":600,"../../components/fx/hovertemplate_attributes":631,"../../lib/extend":710,"../../plots/attributes":764,"../scatter/attributes":1112}],1145:[function(t,e,r){"use 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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"),c=t("../scatter/text_defaults"),u=t("../scatter/fillcolor_defaults"),h=t("./attributes");e.exports=function(t,e,r,f){function p(r,i){return n.coerce(t,e,h,r,i)}p("carpet"),e.xaxis="x",e.yaxis="y";var d=p("a"),g=p("b"),v=Math.min(d.length,g.length);if(v){e._length=v,p("text"),p("hovertext"),p("mode",v<i.PTS_LINESONLY?"lines+markers":"lines"),a.hasLines(e)&&(s(t,e,r,f,p),l(t,e,p),p("connectgaps")),a.hasMarkers(e)&&o(t,e,r,f,p,{gradient:!0}),a.hasText(e)&&c(t,e,f,p);var m=[];(a.hasMarkers(e)||a.hasText(e))&&(p("marker.maxdisplayed"),m.push("points")),p("fill"),"none"!==e.fill&&(u(t,e,r,p),a.hasLines(e)||l(t,e,p)),"tonext"!==e.fill&&"toself"!==e.fill||m.push("fills"),"fills"!==p("hoveron",m.join("+")||"points")&&p("hovertemplate"),n.coerceSelectionMarkerOpacity(e,p)}else 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i=e.hi||t.hoverinfo,a="all"===i?l.hoverinfo.flags:i.split("+"),o=-1!==a.indexOf("location")&&Array.isArray(t.locations),c=-1!==a.indexOf("lon"),u=-1!==a.indexOf("lat"),h=-1!==a.indexOf("text"),f=[];function p(t){return t+"\xb0"}o?f.push(e.loc):c&&u?f.push("("+p(r.lonLabel)+", "+p(r.latLabel)+")"):c?f.push(n.lon+p(r.lonLabel)):u&&f.push(n.lat+p(r.latLabel));h&&s(e,t,f);return f.join("<br>")}(u,v,t,c[0].t.labels),t.hovertemplate=u.hovertemplate,[t]}}},{"../../components/fx":632,"../../constants/numerical":695,"../../lib":719,"../../plots/cartesian/axes":767,"../scatter/get_trace_color":1121,"./attributes":1151}],1156:[function(t,e,r){"use 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strict";e.exports={TOO_MANY_POINTS:1e5,SYMBOL_SDF_SIZE:200,SYMBOL_SIZE:20,SYMBOL_STROKE:1,DOT_RE:/-dot/,OPEN_RE:/-open/,DASHES:{solid:[1],dot:[1,1],dash:[4,1],longdash:[8,1],dashdot:[4,1,1,1],longdashdot:[8,1,1,1]}}},{}],1163:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("svg-path-sdf"),a=t("color-normalize"),o=t("../../registry"),s=t("../../lib"),l=t("../../components/drawing"),c=t("../../plots/cartesian/axis_ids"),u=t("../../lib/gl_format_color").formatColor,h=t("../scatter/subtypes"),f=t("../scatter/make_bubble_size_func"),p=t("./constants"),d=t("../../constants/interactions").DESELECTDIM,g={start:1,left:1,end:-1,right:-1,middle:0,center:0,bottom:1,top:-1};function v(t){var e,r=t._length,i=t.textfont,a=t.textposition,o=Array.isArray(a)?a:[a],s=i.color,l=i.size,c=i.family,u={};if(u.text=t.text,Array.isArray(u.text)&&u.text.length<r)for(u.text=t.text.slice(),e=u.text.length;e<r;e++)u.text[e]="";for(u.opacity=t.opacity,u.font={},u.align=[],u.baseline=[],e=0;e<o.length;e++){var h=o[e].split(/\s+/);switch(h[1]){case"left":u.align.push("right");break;case"right":u.align.push("left");break;default:u.align.push(h[1])}switch(h[0]){case"top":u.baseline.push("bottom");break;case"bottom":u.baseline.push("top");break;default:u.baseline.push(h[0])}}if(Array.isArray(s))for(u.color=new Array(r),e=0;e<r;e++)u.color[e]=s[e];else u.color=s;if(Array.isArray(l)||Array.isArray(c))for(u.font=new Array(r),e=0;e<r;e++){var f=u.font[e]={};f.size=Array.isArray(l)?n(l[e])?l[e]:0:l,f.family=Array.isArray(c)?c[e]:c}else u.font={size:l,family:c};return u}function m(t){var e,r,n=t._length,i=t.marker,o={},l=Array.isArray(i.symbol),c=s.isArrayOrTypedArray(i.color),h=s.isArrayOrTypedArray(i.line.color),d=s.isArrayOrTypedArray(i.opacity),g=s.isArrayOrTypedArray(i.size),v=s.isArrayOrTypedArray(i.line.width);if(l||(r=p.OPEN_RE.test(i.symbol)),l||c||h||d){o.colors=new Array(n),o.borderColors=new Array(n);var m=u(i,i.opacity,n),y=u(i.line,i.opacity,n);if(!Array.isArray(y[0])){var x=y;for(y=Array(n),e=0;e<n;e++)y[e]=x}if(!Array.isArray(m[0])){var b=m;for(m=Array(n),e=0;e<n;e++)m[e]=b}for(o.colors=m,o.borderColors=y,e=0;e<n;e++){if(l){var _=i.symbol[e];r=p.OPEN_RE.test(_)}r&&(y[e]=m[e].slice(),m[e]=m[e].slice(),m[e][3]=0)}o.opacity=t.opacity}else r?(o.color=a(i.color,"uint8"),o.color[3]=0,o.borderColor=a(i.color,"uint8")):(o.color=a(i.color,"uint8"),o.borderColor=a(i.line.color,"uint8")),o.opacity=t.opacity*i.opacity;if(l)for(o.markers=new Array(n),e=0;e<n;e++)o.markers[e]=M(i.symbol[e]);else o.marker=M(i.symbol);var w,k=f(t);if(g||v){var T,A=o.sizes=new Array(n),S=o.borderSizes=new Array(n),E=0;if(g){for(e=0;e<n;e++)A[e]=k(i.size[e]),E+=A[e];T=E/n}else for(w=k(i.size),e=0;e<n;e++)A[e]=w;if(v)for(e=0;e<n;e++)S[e]=i.line.width[e]/2;else for(w=i.line.width/2,e=0;e<n;e++)S[e]=w;o.sizeAvg=T}else o.size=k(i&&i.size||10),o.borderSizes=k(i.line.width);return o}function y(t,e){var r=t.marker,n={};return e?(e.marker&&e.marker.symbol?n=m(s.extendFlat({},r,e.marker)):e.marker&&(e.marker.size&&(n.size=e.marker.size/2),e.marker.color&&(n.colors=e.marker.color),void 0!==e.marker.opacity&&(n.opacity=e.marker.opacity)),n):n}function x(t,e){var r={};if(!e)return r;if(e.textfont){var n={opacity:1,text:t.text,textposition:t.textposition,textfont:s.extendFlat({},t.textfont)};e.textfont&&s.extendFlat(n.textfont,e.textfont),r=v(n)}return r}function b(t,e){var r={capSize:2*e.width,lineWidth:e.thickness,color:e.color};return e.copy_ystyle&&(r=t.error_y),r}var _=p.SYMBOL_SDF_SIZE,w=p.SYMBOL_SIZE,k=p.SYMBOL_STROKE,T={},A=l.symbolFuncs[0](.05*w);function M(t){if("circle"===t)return null;var e,r,n=l.symbolNumber(t),a=l.symbolFuncs[n%100],o=!!l.symbolNoDot[n%100],s=!!l.symbolNoFill[n%100],c=p.DOT_RE.test(t);return T[t]?T[t]:(e=c&&!o?a(1.1*w)+A:a(w),r=i(e,{w:_,h:_,viewBox:[-w,-w,w,w],stroke:s?k:-k}),T[t]=r,r||null)}e.exports={style:function(t,e){var r,n={marker:void 0,markerSel:void 0,markerUnsel:void 0,line:void 0,fill:void 0,errorX:void 0,errorY:void 0,text:void 0,textSel:void 0,textUnsel:void 0};if(!0!==e.visible)return n;if(h.hasText(e)&&(n.text=v(e),n.textSel=x(e,e.selected),n.textUnsel=x(e,e.unselected)),h.hasMarkers(e)&&(n.marker=m(e),n.markerSel=y(e,e.selected),n.markerUnsel=y(e,e.unselected),!e.unselected&&Array.isArray(e.marker.opacity))){var i=e.marker.opacity;for(n.markerUnsel.opacity=new Array(i.length),r=0;r<i.length;r++)n.markerUnsel.opacity[r]=d*i[r]}if(h.hasLines(e)){n.line={overlay:!0,thickness:e.line.width,color:e.line.color,opacity:e.opacity};var a=(p.DASHES[e.line.dash]||[1]).slice();for(r=0;r<a.length;++r)a[r]*=e.line.width;n.line.dashes=a}return e.error_x&&e.error_x.visible&&(n.errorX=b(e,e.error_x)),e.error_y&&e.error_y.visible&&(n.errorY=b(e,e.error_y)),e.fill&&"none"!==e.fill&&(n.fill={closed:!0,fill:e.fillcolor,thickness:0}),n},markerStyle:m,markerSelection:y,linePositions:function(t,e,r){var n,i,a=r.length,o=a/2;if(h.hasLines(e)&&o)if("hv"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i+2],r[2*i+1]));n.push(r[a-2],r[a-1])}else if("hvh"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var s=(r[2*i]+r[2*i+2])/2;n.push(r[2*i],r[2*i+1],s,r[2*i+1],s,r[2*i+3])}n.push(r[a-2],r[a-1])}else 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p(t,i){var a=i._id.charAt(0),o=e["error_"+a];if(o&&o.visible&&("linear"===i.type||"log"===i.type)){for(var l=s(o),c={x:0,y:1}[a],u={x:[0,1,2,3],y:[2,3,0,1]}[a],p=new Float64Array(4*h),d=1/0,g=-1/0,v=0,m=0;v<h;v++,m+=4){var y=t[v];if(n(y)){var x=r[2*v+c],b=l(y,v),_=b[0],w=b[1];if(n(_)&&n(w)){var k=y-_,T=y+w;p[m+u[0]]=x-i.c2l(k),p[m+u[1]]=i.c2l(T)-x,p[m+u[2]]=0,p[m+u[3]]=0,d=Math.min(d,y-_),g=Math.max(g,y+w)}}}f[a]={positions:r,errors:p,_bnds:[d,g]}}}return p(i,l),p(a,u),f},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(h.hasMarkers(e)){var s=r.font,l=r.align,c=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var u=n.sizes?n.sizes[i]:n.size,f=Array.isArray(s)?s[i].size:s.size,p=Array.isArray(l)?l.length>1?l[i]:l[0]:l,d=Array.isArray(c)?c.length>1?c[i]:c[0]:c,v=g[p],m=g[d],y=u?u/.8+1:0,x=-m*y-.5*m;o.offset[i]=[v*y/f,x/f]}}return o}}},{"../../components/drawing":614,"../../constants/interactions":694,"../../lib":719,"../../lib/gl_format_color":716,"../../plots/cartesian/axis_ids":770,"../../registry":847,"../scatter/make_bubble_size_func":1128,"../scatter/subtypes":1135,"./constants":1162,"color-normalize":120,"fast-isnumeric":225,"svg-path-sdf":535}],1164:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../registry"),a=t("./attributes"),o=t("../scatter/constants"),s=t("../scatter/subtypes"),l=t("../scatter/xy_defaults"),c=t("../scatter/marker_defaults"),u=t("../scatter/line_defaults"),h=t("../scatter/fillcolor_defaults"),f=t("../scatter/text_defaults");e.exports=function(t,e,r,p){function d(r,i){return n.coerce(t,e,a,r,i)}var g=!!t.marker&&/-open/.test(t.marker.symbol),v=s.isBubble(t),m=l(t,e,p,d);if(m){var y=m<o.PTS_LINESONLY?"lines+markers":"lines";d("text"),d("hovertext"),d("hovertemplate"),d("mode",y),s.hasLines(e)&&(d("connectgaps"),u(t,e,r,p,d),d("line.shape")),s.hasMarkers(e)&&(c(t,e,r,p,d),d("marker.line.width",g||v?1:0)),s.hasText(e)&&f(t,e,p,d);var x=(e.line||{}).color,b=(e.marker||{}).color;d("fill"),"none"!==e.fill&&h(t,e,r,d);var _=i.getComponentMethod("errorbars","supplyDefaults");_(t,e,x||b||r,{axis:"y"}),_(t,e,x||b||r,{axis:"x",inherit:"y"}),n.coerceSelectionMarkerOpacity(e,d)}else e.visible=!1}},{"../../lib":719,"../../registry":847,"../scatter/constants":1116,"../scatter/fillcolor_defaults":1120,"../scatter/line_defaults":1124,"../scatter/marker_defaults":1130,"../scatter/subtypes":1135,"../scatter/text_defaults":1136,"../scatter/xy_defaults":1137,"./attributes":1160}],1165:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/color"),a=t("../../constants/interactions").DESELECTDIM;e.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,c=l._scene,u=l.index,h=c.selectBatch[u],f=c.unselectBatch[u],p=c.textOptions[u],d=c.textSelectedOptions[u]||{},g=c.textUnselectedOptions[u]||{},v=n.extendFlat({},p);if(h.length||f.length){var m=d.color,y=g.color,x=p.color,b=Array.isArray(x);for(v.color=new Array(s._length),e=0;e<h.length;e++)r=h[e],v.color[r]=m||(b?x[r]:x);for(e=0;e<f.length;e++){r=f[e];var _=b?x[r]:x;v.color[r]=y||(m?_:i.addOpacity(_,a))}}c.glText[u].update(v)}}},{"../../components/color":593,"../../constants/interactions":694,"../../lib":719}],1166:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("../../lib"),a=t("../scatter/get_trace_color");function o(t,e,r,o){var s=t.xa,l=t.ya,c=t.distance,u=t.dxy,h=t.index,f={pointNumber:h,x:e[h],y:r[h]};f.tx=Array.isArray(o.text)?o.text[h]:o.text,f.htx=Array.isArray(o.hovertext)?o.hovertext[h]:o.hovertext,f.data=Array.isArray(o.customdata)?o.customdata[h]:o.customdata,f.tp=Array.isArray(o.textposition)?o.textposition[h]:o.textposition;var p=o.textfont;p&&(f.ts=Array.isArray(p.size)?p.size[h]:p.size,f.tc=Array.isArray(p.color)?p.color[h]:p.color,f.tf=Array.isArray(p.family)?p.family[h]:p.family);var d=o.marker;d&&(f.ms=i.isArrayOrTypedArray(d.size)?d.size[h]:d.size,f.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[h]:d.opacity,f.mx=Array.isArray(d.symbol)?d.symbol[h]:d.symbol,f.mc=i.isArrayOrTypedArray(d.color)?d.color[h]:d.color);var g=d&&d.line;g&&(f.mlc=Array.isArray(g.color)?g.color[h]:g.color,f.mlw=i.isArrayOrTypedArray(g.width)?g.width[h]:g.width);var v=d&&d.gradient;v&&"none"!==v.type&&(f.mgt=Array.isArray(v.type)?v.type[h]:v.type,f.mgc=Array.isArray(v.color)?v.color[h]:v.color);var m=s.c2p(f.x,!0),y=l.c2p(f.y,!0),x=f.mrc||1,b=o.hoverlabel;b&&(f.hbg=Array.isArray(b.bgcolor)?b.bgcolor[h]:b.bgcolor,f.hbc=Array.isArray(b.bordercolor)?b.bordercolor[h]:b.bordercolor,f.hts=Array.isArray(b.font.size)?b.font.size[h]:b.font.size,f.htc=Array.isArray(b.font.color)?b.font.color[h]:b.font.color,f.htf=Array.isArray(b.font.family)?b.font.family[h]:b.font.family,f.hnl=Array.isArray(b.namelength)?b.namelength[h]:b.namelength);var _=o.hoverinfo;_&&(f.hi=Array.isArray(_)?_[h]:_);var w=o.hovertemplate;w&&(f.ht=Array.isArray(w)?w[h]:w);var k={};return k[t.index]=f,i.extendFlat(t,{color:a(o,f),x0:m-x,x1:m+x,xLabelVal:f.x,y0:y-x,y1:y+x,yLabelVal:f.y,cd:k,distance:c,spikeDistance:u,hovertemplate:f.ht}),f.htx?t.text=f.htx:f.tx?t.text=f.tx:o.text&&(t.text=o.text),i.fillText(f,o,t),n.getComponentMethod("errorbars","hoverInfo")(f,o,t),t}e.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,c,u,h,f,p,d=t.cd,g=d[0].t,v=d[0].trace,m=t.xa,y=t.ya,x=g.x,b=g.y,_=m.c2p(e),w=y.c2p(r),k=t.distance;if(g.tree){var T=m.p2c(_-k),A=m.p2c(_+k),M=y.p2c(w-k),S=y.p2c(w+k);i="x"===n?g.tree.range(Math.min(T,A),Math.min(y._rl[0],y._rl[1]),Math.max(T,A),Math.max(y._rl[0],y._rl[1])):g.tree.range(Math.min(T,A),Math.min(M,S),Math.max(T,A),Math.max(M,S))}else{if(!g.ids)return[t];i=g.ids}var E=k;if("x"===n)for(c=0;c<i.length;c++)s=x[i[c]],(u=Math.abs(m.c2p(s)-_))<E&&(E=u,h=y.c2p(b[i[c]])-w,p=Math.sqrt(u*u+h*h),a=i[c]);else for(c=i.length-1;c>-1;c--)s=x[i[c]],l=b[i[c]],u=m.c2p(s)-_,h=y.c2p(l)-w,(f=Math.sqrt(u*u+h*h))<E&&(E=p=f,a=i[c]);return t.index=a,t.distance=E,t.dxy=p,void 0===a?[t]:(o(t,x,b,v),[t])},calcHover:o}},{"../../lib":719,"../../registry":847,"../scatter/get_trace_color":1121}],1167:[function(t,e,r){"use strict";var n=t("./hover");e.exports={moduleType:"trace",name:"scattergl",basePlotModule:t("../../plots/cartesian"),categories:["gl","regl","cartesian","symbols","errorBarsOK","showLegend","scatter-like"],attributes:t("./attributes"),supplyDefaults:t("./defaults"),crossTraceDefaults:t("../scatter/cross_trace_defaults"),colorbar:t("../scatter/marker_colorbar"),calc:t("./calc"),plot:t("./plot"),hoverPoints:n.hoverPoints,selectPoints:t("./select"),meta:{}}},{"../../plots/cartesian":778,"../scatter/cross_trace_defaults":1118,"../scatter/marker_colorbar":1129,"./attributes":1160,"./calc":1161,"./defaults":1164,"./hover":1166,"./plot":1168,"./select":1170}],1168:[function(t,e,r){"use strict";var n=t("regl-scatter2d"),i=t("regl-line2d"),a=t("regl-error2d"),o=t("gl-text"),s=t("../../lib"),l=t("../../lib/prepare_regl"),c=t("../scatter/subtypes"),u=t("../scatter/link_traces"),h=t("./edit_style").styleTextSelection;e.exports=function(t,e,r){if(r.length){var f,p,d=t._fullLayout,g=e._scene,v=e.xaxis,m=e.yaxis;if(g)if(l(t,["ANGLE_instanced_arrays","OES_element_index_uint"])){var y=g.count,x=d._glcanvas.data()[0].regl;if(u(t,e,r),g.dirty){if(!0===g.error2d&&(g.error2d=a(x)),!0===g.line2d&&(g.line2d=i(x)),!0===g.scatter2d&&(g.scatter2d=n(x)),!0===g.fill2d&&(g.fill2d=i(x)),!0===g.glText)for(g.glText=new Array(y),f=0;f<y;f++)g.glText[f]=new o(x);if(g.glText){if(y>g.glText.length){var b=y-g.glText.length;for(f=0;f<b;f++)g.glText.push(new o(x))}else if(y<g.glText.length){var _=g.glText.length-y;g.glText.splice(y,_).forEach(function(t){t.destroy()})}for(f=0;f<y;f++)g.glText[f].update(g.textOptions[f])}if(g.line2d&&(g.line2d.update(g.lineOptions),g.lineOptions=g.lineOptions.map(function(t){if(t&&t.positions){for(var e=t.positions,r=0;r<e.length&&(isNaN(e[r])||isNaN(e[r+1]));)r+=2;for(var n=e.length-2;n>r&&(isNaN(e[n])||isNaN(e[n+1]));)n-=2;t.positions=e.slice(r,n+2)}return t}),g.line2d.update(g.lineOptions)),g.error2d){var 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n=t._size,i=t.width,a=t.height;return[n.l+e.domain[0]*n.w,n.b+r.domain[0]*n.h,i-n.r-(1-e.domain[1])*n.w,a-n.t-(1-r.domain[1])*n.h]}(d,v,m),range:[(v._rl||v.range)[0],(m._rl||m.range)[0],(v._rl||v.range)[1],(m._rl||m.range)[1]]},j=s.repeat(N,g.count);g.fill2d&&g.fill2d.update(j),g.line2d&&g.line2d.update(j),g.error2d&&g.error2d.update(j.concat(j)),g.scatter2d&&g.scatter2d.update(j),g.select2d&&g.select2d.update(j),g.glText&&g.glText.forEach(function(t){t.update(N)})}else g.init()}}},{"../../lib":719,"../../lib/prepare_regl":732,"../scatter/link_traces":1127,"../scatter/subtypes":1135,"./edit_style":1165,"gl-text":317,"regl-error2d":490,"regl-line2d":491,"regl-scatter2d":497}],1169:[function(t,e,r){"use strict";var n=t("../../lib");e.exports=function(t,e){var 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t=r.count,e=r.fill2d,i=r.error2d,a=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,c=r.selectBatch,u=r.unselectBatch,h=0;h<t;h++){if(e&&r.fillOrder[h]&&e.draw(r.fillOrder[h]),a&&r.lineOptions[h]&&a.draw(h),i&&(r.errorXOptions[h]&&i.draw(h),r.errorYOptions[h]&&i.draw(h+t)),o&&r.markerOptions[h])if(u[h].length){var f=n.repeat([],r.count);f[h]=u[h],o.draw(f)}else 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n=t("../../components/fx/hovertemplate_attributes"),i=t("../scattergeo/attributes"),a=t("../scatter/attributes"),o=t("../../plots/mapbox/layout_attributes"),s=t("../../plots/attributes"),l=t("../../components/colorscale/attributes"),c=t("../../lib/extend").extendFlat,u=t("../../plot_api/edit_types").overrideAll,h=i.line,f=i.marker;e.exports=u({lon:i.lon,lat:i.lat,mode:c({},a.mode,{dflt:"markers"}),text:c({},a.text,{}),hovertext:c({},a.hovertext,{}),line:{color:h.color,width:h.width},connectgaps:a.connectgaps,marker:c({symbol:{valType:"string",dflt:"circle",arrayOk:!0},opacity:f.opacity,size:f.size,sizeref:f.sizeref,sizemin:f.sizemin,sizemode:f.sizemode},l("marker")),fill:i.fill,fillcolor:a.fillcolor,textfont:o.layers.symbol.textfont,textposition:o.layers.symbol.textposition,below:{valType:"string"},selected:{marker:a.selected.marker},unselected:{marker:a.unselected.marker},hoverinfo:c({},s.hoverinfo,{flags:["lon","lat","text","name"]}),hovertemplate:n()},"calc","nested")},{"../../components/colorscale/attributes":600,"../../components/fx/hovertemplate_attributes":631,"../../lib/extend":710,"../../plot_api/edit_types":750,"../../plots/attributes":764,"../../plots/mapbox/layout_attributes":824,"../scatter/attributes":1112,"../scattergeo/attributes":1151}],1172:[function(t,e,r){"use 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M;if((v||m)&&(e=o.calcTraceToLineCoords(t)),v&&(w.geojson=o.makePolygon(e),w.layout.visibility="visible",i.extendFlat(w.paint,{"fill-color":r.fillcolor})),m&&(k.geojson=o.makeLine(e),k.layout.visibility="visible",i.extendFlat(k.paint,{"line-width":r.line.width,"line-color":r.line.color,"line-opacity":r.opacity})),b){var S=function(t){var e,r,a,o,u=t[0].trace,h=u.marker,f=u.selectedpoints,p=i.isArrayOrTypedArray(h.color),d=i.isArrayOrTypedArray(h.size),v=i.isArrayOrTypedArray(h.opacity);function m(t){return u.opacity*t}p&&(r=s.hasColorscale(u,"marker")?s.makeColorScaleFuncFromTrace(h):i.identity);d&&(a=c(u));v&&(o=function(t){var e=n(t)?+i.constrain(t,0,1):0;return m(e)});var y,x=[];for(e=0;e<t.length;e++){var b=t[e],_=b.lonlat;if(!g(_)){var w={};r&&(w.mcc=b.mcc=r(b.mc)),a&&(w.mrc=b.mrc=a(b.ms)),o&&(w.mo=o(b.mo)),f&&(w.selected=b.selected||0),x.push({type:"Feature",geometry:{type:"Point",coordinates:_},properties:w})}}if(f)for(y=l.makeSelectedPointStyleFns(u),e=0;e<x.length;e++){var k=x[e].properties;y.selectedOpacityFn&&(k.mo=m(y.selectedOpacityFn(k))),y.selectedColorFn&&(k.mcc=y.selectedColorFn(k)),y.selectedSizeFn&&(k.mrc=y.selectedSizeFn(k))}return{geojson:{type:"FeatureCollection",features:x},mcc:p||y&&y.selectedColorFn?{type:"identity",property:"mcc"}:h.color,mrc:d||y&&y.selectedSizeFn?{type:"identity",property:"mrc"}:(T=h.size,T/2),mo:v||y&&y.selectedOpacityFn?{type:"identity",property:"mo"}:m(h.opacity)};var T}(t);T.geojson=S.geojson,T.layout.visibility="visible",i.extendFlat(T.paint,{"circle-color":S.mcc,"circle-radius":S.mrc,"circle-opacity":S.mo})}if((_||x)&&(A.geojson=function(t){for(var e=t[0].trace,r=(e.marker||{}).symbol,n=e.text,i="circle"!==r?p(r):d,a=u.hasText(e)?p(n):d,o=[],s=0;s<t.length;s++){var l=t[s];g(l.lonlat)||o.push({type:"Feature",geometry:{type:"Point",coordinates:l.lonlat},properties:{symbol:i(l.mx),text:a(l.tx)}})}return{type:"FeatureCollection",features:o}}(t),i.extendFlat(A.layout,{visibility:"visible","icon-image":"{symbol}-15","text-field":"{text}"}),_&&(i.extendFlat(A.layout,{"icon-size":r.marker.size/10}),i.extendFlat(A.paint,{"icon-opacity":r.opacity*r.marker.opacity,"icon-color":r.marker.color})),x)){var E=(r.marker||{}).size,C=h(r.textposition,E);i.extendFlat(A.layout,{"text-size":r.textfont.size,"text-anchor":C.anchor,"text-offset":C.offset}),i.extendFlat(A.paint,{"text-color":r.textfont.color,"text-opacity":r.opacity})}return M}},{"../../components/colorscale":605,"../../components/drawing":614,"../../constants/numerical":695,"../../lib":719,"../../lib/geojson_utils":714,"../../plots/mapbox/convert_text_opts":821,"../scatter/make_bubble_size_func":1128,"../scatter/subtypes":1135,"fast-isnumeric":225}],1173:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../scatter/subtypes"),a=t("../scatter/marker_defaults"),o=t("../scatter/line_defaults"),s=t("../scatter/text_defaults"),l=t("../scatter/fillcolor_defaults"),c=t("./attributes");e.exports=function(t,e,r,u){function h(r,i){return n.coerce(t,e,c,r,i)}if(function(t,e,r){var n=r("lon")||[],i=r("lat")||[],a=Math.min(n.length,i.length);return e._length=a,a}(0,e,h)){if(h("text"),h("hovertext"),h("hovertemplate"),h("mode"),h("below"),i.hasLines(e)&&(o(t,e,r,u,h,{noDash:!0}),h("connectgaps")),i.hasMarkers(e)){a(t,e,r,u,h,{noLine:!0});var f=e.marker;"circle"!==f.symbol&&(n.isArrayOrTypedArray(f.size)&&(f.size=f.size[0]),n.isArrayOrTypedArray(f.color)&&(f.color=f.color[0]))}i.hasText(e)&&s(t,e,u,h,{noSelect:!0}),h("fill"),"none"!==e.fill&&l(t,e,r,h),n.coerceSelectionMarkerOpacity(e,h)}else e.visible=!1}},{"../../lib":719,"../scatter/fillcolor_defaults":1120,"../scatter/line_defaults":1124,"../scatter/marker_defaults":1130,"../scatter/subtypes":1135,"../scatter/text_defaults":1136,"./attributes":1171}],1174:[function(t,e,r){"use strict";e.exports=function(t,e){return t.lon=e.lon,t.lat=e.lat,t}},{}],1175:[function(t,e,r){"use strict";var n=t("../../components/fx"),i=t("../../lib"),a=t("../scatter/get_trace_color"),o=i.fillText,s=t("../../constants/numerical").BADNUM;e.exports=function(t,e,r){var l=t.cd,c=l[0].trace,u=t.xa,h=t.ya,f=t.subplot,p=360*(e>=0?Math.floor((e+180)/360):Math.ceil((e-180)/360)),d=e-p;if(n.getClosest(l,function(t){var e=t.lonlat;if(e[0]===s)return 1/0;var n=i.modHalf(e[0],360),a=e[1],o=f.project([n,a]),l=o.x-u.c2p([d,a]),c=o.y-h.c2p([n,r]),p=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(l*l+c*c)-p,1-3/p)},t),!1!==t.index){var g=l[t.index],v=g.lonlat,m=[i.modHalf(v[0],360)+p,v[1]],y=u.c2p(m),x=h.c2p(m),b=g.mrc||1;return t.x0=y-b,t.x1=y+b,t.y0=x-b,t.y1=x+b,t.color=a(c,g),t.extraText=function(t,e,r){if(t.hovertemplate)return;var n=(e.hi||t.hoverinfo).split("+"),i=-1!==n.indexOf("all"),a=-1!==n.indexOf("lon"),s=-1!==n.indexOf("lat"),l=e.lonlat,c=[];function u(t){return t+"\xb0"}i||a&&s?c.push("("+u(l[0])+", "+u(l[1])+")"):a?c.push(r.lon+u(l[0])):s&&c.push(r.lat+u(l[1]));(i||-1!==n.indexOf("text"))&&o(e,t,c);return c.join("<br>")}(c,g,l[0].t.labels),t.hovertemplate=c.hovertemplate,[t]}}},{"../../components/fx":632,"../../constants/numerical":695,"../../lib":719,"../scatter/get_trace_color":1121}],1176:[function(t,e,r){"use 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n=t("../../registry"),i=t("../../components/grid");e.exports={moduleType:"trace",name:"splom",basePlotModule:t("./base_plot"),categories:["gl","regl","cartesian","symbols","showLegend","scatter-like"],attributes:t("./attributes"),supplyDefaults:t("./defaults"),colorbar:t("../scatter/marker_colorbar"),calc:t("./calc"),plot:t("./plot"),hoverPoints:t("./hover").hoverPoints,selectPoints:t("./select"),editStyle:t("./edit_style"),meta:{}},n.register(i)},{"../../components/grid":636,"../../registry":847,"../scatter/marker_colorbar":1129,"./attributes":1198,"./base_plot":1199,"./calc":1200,"./defaults":1201,"./edit_style":1202,"./hover":1204,"./plot":1206,"./select":1208}],1206:[function(t,e,r){"use strict";var n=t("regl-splom"),i=t("../../lib"),a=t("../../plots/cartesian/axis_ids");function o(t,e){var r,o,s,l,c,u=t._fullLayout,h=u._size,f=e.trace,p=e.t,d=u._splomScenes[f.uid],g=d.matrixOptions,v=g.cdata,m=u._glcanvas.data()[0].regl,y=u.dragmode;if(0!==v.length){g.lower=f.showupperhalf,g.upper=f.showlowerhalf,g.diagonal=f.diagonal.visible;var x=f._visibleDims,b=v.length,_=d.viewOpts={};for(_.ranges=new Array(b),_.domains=new Array(b),c=0;c<x.length;c++){s=x[c];var w=_.ranges[c]=new Array(4),k=_.domains[c]=new Array(4);(r=a.getFromId(t,f._diag[s][0]))&&(w[0]=r._rl[0],w[2]=r._rl[1],k[0]=r.domain[0],k[2]=r.domain[1]),(o=a.getFromId(t,f._diag[s][1]))&&(w[1]=o._rl[0],w[3]=o._rl[1],k[1]=o.domain[0],k[3]=o.domain[1])}_.viewport=[h.l,h.b,h.w+h.l,h.h+h.b],!0===d.matrix&&(d.matrix=n(m));var T=u.clickmode.indexOf("select")>-1,A=!0;if("lasso"===y||"select"===y||!!f.selectedpoints||T){var M=f._length;if(f.selectedpoints){d.selectBatch=f.selectedpoints;var S=f.selectedpoints,E={};for(s=0;s<S.length;s++)E[S[s]]=!0;var C=[];for(s=0;s<M;s++)E[s]||C.push(s);d.unselectBatch=C}var L=p.xpx=new Array(b),P=p.ypx=new Array(b);for(c=0;c<x.length;c++){if(s=x[c],r=a.getFromId(t,f._diag[s][0]))for(L[c]=new Array(M),l=0;l<M;l++)L[c][l]=r.c2p(v[c][l]);if(o=a.getFromId(t,f._diag[s][1]))for(P[c]=new Array(M),l=0;l<M;l++)P[c][l]=o.c2p(v[c][l])}if(d.selectBatch.length||d.unselectBatch.length){var O=i.extendFlat({},g,d.unselectedOptions,_),z=i.extendFlat({},g,d.selectedOptions,_);d.matrix.update(O,z),A=!1}}else p.xpx=p.ypx=null;if(A){var I=i.extendFlat({},g,_);d.matrix.update(I,null)}}}e.exports=function(t,e,r){if(r.length)for(var n=0;n<r.length;n++)o(t,r[n][0])}},{"../../lib":719,"../../plots/cartesian/axis_ids":770,"regl-splom":501}],1207:[function(t,e,r){"use strict";var n=t("../../lib");e.exports=function(t,e){var r=t._fullLayout,i=e.uid,a=r._splomScenes;a||(a=r._splomScenes={});var o={dirty:!0},s=a[e.uid];return 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k=l.matrixOptions;return b.length||_.length?l.selectBatch.length||l.unselectBatch.length||l.matrix.update(l.unselectedOptions,n.extendFlat({},k,l.selectedOptions,l.viewOpts)):l.matrix.update(k,null),l.selectBatch=b,l.unselectBatch=_,f}},{"../../lib":719,"../scatter/subtypes":1135,"./helpers":1203}],1209:[function(t,e,r){"use strict";var n=t("../../components/colorscale/attributes"),i=t("../../components/fx/hovertemplate_attributes"),a=t("../mesh3d/attributes"),o=t("../../plots/attributes"),s=t("../../lib/extend").extendFlat,l={x:{valType:"data_array",editType:"calc+clearAxisTypes"},y:{valType:"data_array",editType:"calc+clearAxisTypes"},z:{valType:"data_array",editType:"calc+clearAxisTypes"},u:{valType:"data_array",editType:"calc"},v:{valType:"data_array",editType:"calc"},w:{valType:"data_array",editType:"calc"},starts:{x:{valType:"data_array",editType:"calc"},y:{valType:"data_array",editType:"calc"},z:{valType:"data_array",editType:"calc"},editType:"calc"},maxdisplayed:{valType:"integer",min:0,dflt:1e3,editType:"calc"},sizeref:{valType:"number",editType:"calc",min:0,dflt:1},text:{valType:"string",dflt:"",editType:"calc"},hovertext:{valType:"string",dflt:"",editType:"calc"},hovertemplate:i({editType:"calc"},{keys:["tubex","tubey","tubez","tubeu","tubev","tubew","norm","divergence"]})};s(l,n("",{colorAttr:"u/v/w 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t.tubex=t.x,t.tubey=t.y,t.tubez=t.z,t.tubeu=e.traceCoordinate[3],t.tubev=e.traceCoordinate[4],t.tubew=e.traceCoordinate[5],t.norm=e.traceCoordinate[6],t.divergence=e.traceCoordinate[7],delete t.x,delete t.y,delete t.z,t},meta:{}}},{"../../plots/gl3d":807,"./attributes":1209,"./calc":1210,"./convert":1211,"./defaults":1212}],1214:[function(t,e,r){"use strict";var n=t("../../plots/attributes"),i=t("../../components/fx/hovertemplate_attributes"),a=t("../../plots/domain").attributes,o=t("../pie/attributes"),s=t("../../lib/extend").extendFlat;e.exports={labels:{valType:"data_array",editType:"calc"},parents:{valType:"data_array",editType:"calc"},values:{valType:"data_array",editType:"calc"},branchvalues:{valType:"enumerated",values:["remainder","total"],dflt:"remainder",editType:"calc"},level:{valType:"any",editType:"plot",anim:!0},maxdepth:{valType:"integer",editType:"plot",dflt:-1},marker:{colors:{valType:"data_array",editType:"calc"},line:{color:s({},o.marker.line.color,{dflt:null}),width:s({},o.marker.line.width,{dflt:1}),editType:"calc"},editType:"calc"},leaf:{opacity:{valType:"number",editType:"style",min:0,max:1,dflt:.7},editType:"plot"},text:o.text,textinfo:s({},o.textinfo,{editType:"plot",flags:["label","text","value"]}),textfont:o.textfont,hovertext:o.hovertext,hoverinfo:s({},n.hoverinfo,{flags:["label","text","value","name"]}),hovertemplate:i(),insidetextfont:o.insidetextfont,outsidetextfont:o.outsidetextfont,domain:a({name:"sunburst",trace:!0,editType:"calc"})}},{"../../components/fx/hovertemplate_attributes":631,"../../lib/extend":710,"../../plots/attributes":764,"../../plots/domain":792,"../pie/attributes":1086}],1215:[function(t,e,r){"use 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u=r[l][0];"sunburst"===u.trace.type&&u.hierarchy&&u.hierarchy.each(o)}}},{"../../lib":719,"../pie/calc":1088,"d3-hierarchy":157,"fast-isnumeric":225}],1217:[function(t,e,r){"use strict";e.exports={CLICK_TRANSITION_TIME:750,CLICK_TRANSITION_EASING:"linear"}},{}],1218:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./attributes"),a=t("../../plots/domain").defaults,o=t("../bar/defaults").handleText;e.exports=function(t,e,r,s){function l(r,a){return n.coerce(t,e,i,r,a)}var c=l("labels"),u=l("parents");if(c&&c.length&&u&&u.length){var h=l("values");h&&h.length&&l("branchvalues"),l("level"),l("maxdepth"),l("marker.line.width")&&l("marker.line.color",s.paper_bgcolor),l("marker.colors"),l("leaf.opacity");var f=l("text");l("textinfo",Array.isArray(f)?"text+label":"label"),l("hovertext"),l("hovertemplate");o(t,e,s,l,"auto",{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),a(e,s,l),e._length=null}else 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i=t.datum(),o=(n||{}).isTransitioning;a(t,o||r.isLeaf(i)||r.isHierachyRoot(i)?null:"pointer")},r.determineOutsideTextFont=function(t,e,r){var i=e.data.data.i;return{color:n.castOption(t,i,"outsidetextfont.color")||n.castOption(t,i,"textfont.color")||r.color,family:n.castOption(t,i,"outsidetextfont.family")||n.castOption(t,i,"textfont.family")||r.family,size:n.castOption(t,i,"outsidetextfont.size")||n.castOption(t,i,"textfont.size")||r.size}},r.determineInsideTextFont=function(t,e,r){var a=e.data.data,o=a.i,s=n.castOption(t,o,"insidetextfont.color");!s&&t._input.textfont&&(s=n.castOption(t._input,o,"textfont.color"));var l=n.castOption(t,o,"insidetextfont.family")||n.castOption(t,o,"textfont.family")||r.family,c=n.castOption(t,o,"insidetextfont.size")||n.castOption(t,o,"textfont.size")||r.size;return{color:s||i.contrast(a.color),family:l,size:c}}},{"../../components/color":593,"../../components/fx/helpers":628,"../../lib":719,"../../lib/setcursor":739}],1220:[function(t,e,r){"use 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i.partition().size([2*Math.PI,t.height+1])(t)}(b).descendants(),O=b.height+1,z=0,I=_;v.hasMultipleRoots&&g.isHierachyRoot(b)&&(P=P.slice(1),O-=1,z=1,I+=1),P=P.filter(function(t){return t.y1<=I});var D=Math.min(O,_),R=function(t){return(t-z)/D*M},F=function(t,e){return[t*Math.cos(e),-t*Math.sin(e)]},B=function(t){return l.pathAnnulus(t.rpx0,t.rpx1,t.x0,t.x1,S,E)},N=function(t){return S+t.pxmid[0]*t.transform.rCenter+(t.transform.x||0)},j=function(t){return E+t.pxmid[1]*t.transform.rCenter+(t.transform.y||0)};(d=d.data(P,function(t){return g.getPtId(t)})).enter().append("g").classed("slice",!0),c?d.exit().transition().each(function(){var t=n.select(this);t.select("path.surface").transition().attrTween("d",function(t){var e=function(t){var e,r=g.getPtId(t),i=L[r],a=L[g.getPtId(b)];if(a){var o=t.x1>a.x1?2*Math.PI:0;e=t.rpx1<a.rpx1?{rpx0:0,rpx1:0}:{x0:o,x1:o}}else{var s,l=g.getPtId(t.parent);d.each(function(t){if(g.getPtId(t)===l)return s=t});var c,u=s.children;u.forEach(function(t,e){if(g.getPtId(t)===r)return c=e});var h=u.length,f=n.interpolate(s.x0,s.x1);e={rpx0:M,rpx1:M,x0:f(c/h),x1:f((c+1)/h)}}return n.interpolate(i,e)}(t);return function(t){return B(e(t))}}),t.select("g.slicetext").attr("opacity",0)}).remove():d.exit().remove(),d.order();var U=null;if(c&&C){var V=g.getPtId(C);d.each(function(t){null===U&&g.getPtId(t)===V&&(U=t.x1)})}var q=d;function H(t){var e=t.parent,r=L[g.getPtId(e)],i={};if(r){var a=e.children,o=a.indexOf(t),s=a.length,l=n.interpolate(r.x0,r.x1);i.x0=l(o/s),i.x1=l(o/s)}else i.x0=i.x1=0;return i}c&&(q=q.transition().each("end",function(){var e=n.select(this);g.setSliceCursor(e,t,{isTransitioning:!1})})),q.each(function(r){var i=n.select(this),a=l.ensureSingle(i,"path","surface",function(t){t.style("pointer-events","all")});r.rpx0=R(r.y0),r.rpx1=R(r.y1),r.xmid=(r.x0+r.x1)/2,r.pxmid=F(r.rpx1,r.xmid),r.midangle=-(r.xmid-Math.PI/2),r.halfangle=.5*Math.min(l.angleDelta(r.x0,r.x1)||Math.PI,Math.PI),r.ring=1-r.rpx0/r.rpx1,r.rInscribed=function(t){return 0===t.rpx0&&l.isFullCircle([t.x0,t.x1])?1:Math.max(0,Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2))}(r),c?a.transition().attrTween("d",function(t){var e=function(t){var e,r=L[g.getPtId(t)],i={x0:t.x0,x1:t.x1,rpx0:t.rpx0,rpx1:t.rpx1};if(r)e=r;else if(C)if(t.parent)if(U){var a=t.x1>U?2*Math.PI:0;e={x0:a,x1:a}}else e={rpx0:M,rpx1:M},l.extendFlat(e,H(t));else e={rpx0:0,rpx1:0};else e={x0:0,x1:0};return n.interpolate(e,i)}(t);return function(t){return B(e(t))}}):a.attr("d",B),i.call(y,t,e).call(g.setSliceCursor,t,{isTransitioning:t._transitioning}),a.call(p,r,x);var d=l.ensureSingle(i,"g","slicetext"),m=l.ensureSingle(d,"text","",function(t){t.attr("data-notex",1)});m.text(function(t,e,r){var n=e.textinfo;if(!n||"none"===n)return"";var i=t.data.data,a=r.separators,o=n.split("+"),s=function(t){return-1!==o.indexOf(t)},c=[];s("label")&&i.label&&c.push(i.label);i.hasOwnProperty("v")&&s("value")&&c.push(f(i.v,a));if(s("text")){var u=l.castOption(e,i.i,"text");l.isValidTextValue(u)&&c.push(u)}return c.join("<br>")}(r,x,o)).classed("slicetext",!0).attr("text-anchor","middle").call(s.font,g.isHierachyRoot(r)?g.determineOutsideTextFont(x,r,o.font):g.determineInsideTextFont(x,r,o.font)).call(u.convertToTspans,t);var b=s.bBox(m.node());r.transform=h(b,r,v),r.translateX=N(r),r.translateY=j(r);var _=function(t,e){return"translate("+t.translateX+","+t.translateY+")"+(t.transform.scale<1?"scale("+t.transform.scale+")":"")+(t.transform.rotate?"rotate("+t.transform.rotate+")":"")+"translate("+-(e.left+e.right)/2+","+-(e.top+e.bottom)/2+")"};c?m.transition().attrTween("transform",function(t){var e=function(t){var e,r=L[g.getPtId(t)],i=t.transform;if(r)e=r;else if(e={rpx1:t.rpx1,transform:{scale:0,rotate:i.rotate,rCenter:i.rCenter,x:i.x,y:i.y}},C)if(t.parent)if(U){var a=t.x1>U?2*Math.PI:0;e.x0=e.x1=a}else l.extendFlat(e,H(t));else e.x0=e.x1=0;else e.x0=e.x1=0;var o=n.interpolate(e.rpx1,t.rpx1),s=n.interpolate(e.x0,t.x0),c=n.interpolate(e.x1,t.x1),u=n.interpolate(e.transform.scale,i.scale),h=n.interpolate(e.transform.rotate,i.rotate),f=0===i.rCenter?3:0===e.transform.rCenter?1/3:1,p=n.interpolate(e.transform.rCenter,i.rCenter);return function(t){var e=o(t),r=s(t),n=c(t),a=function(t){return p(Math.pow(t,f))}(t),l={pxmid:F(e,(r+n)/2),transform:{rCenter:a,x:i.x,y:i.y}},d={rpx1:o(t),translateX:N(l),translateY:j(l),transform:{scale:u(t),rotate:h(t),rCenter:a}};return d}}(t);return function(t){return _(e(t),b)}}):m.attr("transform",_(r,b))})}function m(t,e){var r;return e&&t.eachAfter(function(t){if(g.getPtId(t)===e)return r=t.copy()}),r||t}function y(t,e,r){var i=r[0],s=i.trace;"_hasHoverLabel"in s||(s._hasHoverLabel=!1),"_hasHoverEvent"in s||(s._hasHoverEvent=!1),t.on("mouseover",function(t){var r=e._fullLayout;if(!e._dragging&&!1!==r.hovermode){var a=e._fullData[s.index],c=t.data.data,u=c.i,h=function(t){return l.castOption(a,u,t)},p=h("hovertemplate"),d=o.castHoverinfo(a,r,u),v=r.separators;if(p||d&&"none"!==d&&"skip"!==d){var m=t.rInscribed,y=i.cx+t.pxmid[0]*(1-m),x=i.cy+t.pxmid[1]*(1-m),b={},_=[],w=[],k=function(t){return-1!==_.indexOf(t)};if(d&&(_="all"===d?a._module.attributes.hoverinfo.flags:d.split("+")),b.label=c.label,k("label")&&b.label&&w.push(b.label),c.hasOwnProperty("v")&&(b.value=c.v,b.valueLabel=f(b.value,v),k("value")&&w.push(b.valueLabel)),b.text=h("hovertext")||h("text"),k("text")){var T=b.text;l.isValidTextValue(T)&&w.push(T)}o.loneHover({trace:a,x0:y-m*t.rpx1,x1:y+m*t.rpx1,y:x,idealAlign:t.pxmid[0]<0?"left":"right",text:w.join("<br>"),name:p||k("name")?a.name:void 0,color:h("hoverlabel.bgcolor")||c.color,borderColor:h("hoverlabel.bordercolor"),fontFamily:h("hoverlabel.font.family"),fontSize:h("hoverlabel.font.size"),fontColor:h("hoverlabel.font.color"),nameLength:h("hoverlabel.namelength"),textAlign:h("hoverlabel.align"),hovertemplate:p,hovertemplateLabels:b,eventData:[g.makeEventData(t,a)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e}),s._hasHoverLabel=!0}s._hasHoverEvent=!0,e.emit("plotly_hover",{points:[g.makeEventData(t,a)],event:n.event})}}),t.on("mouseout",function(t){var r=e._fullLayout,i=e._fullData[s.index],a=n.select(this).datum();s._hasHoverEvent&&(t.originalEvent=n.event,e.emit("plotly_unhover",{points:[g.makeEventData(a,i)],event:n.event}),s._hasHoverEvent=!1),s._hasHoverLabel&&(o.loneUnhover(r._hoverlayer.node()),s._hasHoverLabel=!1)}),t.on("click",function(t){var r=e._fullLayout,l=e._fullData[s.index];if(!1===c.triggerHandler(e,"plotly_sunburstclick",{points:[g.makeEventData(t,l)],event:n.event})||g.isLeaf(t)||g.isHierachyRoot(t))r.hovermode&&(e._hoverdata=[g.makeEventData(t,l)],o.click(e,n.event));else if(!e._dragging&&!e._transitioning){a.call("_storeDirectGUIEdit",l,r._tracePreGUI[l.uid],{level:l.level});var u=i.hierarchy,h=g.getPtId(t),f=g.isEntry(t)?function(t,e){var r;return t.eachAfter(function(t){for(var n=t.children||[],i=0;i<n.length;i++){var a=n[i];if(g.getPtId(a)===e)return r=t.copy()}}),r||t}(u,h):m(u,h),p={data:[{level:g.getPtId(f)}],traces:[s.index]},v={frame:{redraw:!1,duration:d.CLICK_TRANSITION_TIME},transition:{duration:d.CLICK_TRANSITION_TIME,easing:d.CLICK_TRANSITION_EASING},mode:"immediate",fromcurrent:!0};o.loneUnhover(r._hoverlayer.node()),a.call("animate",e,p,v)}})}e.exports=function(t,e,r,i){var a,o,s=t._fullLayout._sunburstlayer,l=!r,c=r&&r.duration>0;((a=s.selectAll("g.trace.sunburst").data(e,function(t){return t[0].trace.uid})).enter().append("g").classed("trace",!0).classed("sunburst",!0).attr("stroke-linejoin","round"),a.order(),c)?(i&&(o=i()),n.transition().duration(r.duration).ease(r.easing).each("end",function(){o&&o()}).each("interrupt",function(){o&&o()}).each(function(){s.selectAll("g.trace").each(function(e){v(t,e,this,r)})})):a.each(function(e){v(t,e,this,r)});l&&a.exit().remove()}},{"../../components/drawing":614,"../../components/fx":632,"../../lib":719,"../../lib/events":709,"../../lib/svg_text_utils":743,"../../registry":847,"../pie/helpers":1091,"../pie/plot":1095,"./constants":1217,"./helpers":1219,"./style":1224,d3:163,"d3-hierarchy":157}],1224:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../components/color"),a=t("../../lib");function o(t,e,r){var n=e.data.data,o=!e.children,s=n.i,l=a.castOption(r,s,"marker.line.color")||i.defaultLine,c=a.castOption(r,s,"marker.line.width")||0;t.style("stroke-width",c).call(i.fill,n.color).call(i.stroke,l).style("opacity",o?r.leaf.opacity:null)}e.exports={style:function(t){t._fullLayout._sunburstlayer.selectAll(".trace").each(function(t){var e=n.select(this),r=t[0].trace;e.style("opacity",r.opacity),e.selectAll("path.surface").each(function(t){n.select(this).call(o,t,r)})})},styleOne:o}},{"../../components/color":593,"../../lib":719,d3:163}],1225:[function(t,e,r){"use strict";var n=t("../../components/color"),i=t("../../components/colorscale/attributes"),a=t("../../components/fx/hovertemplate_attributes"),o=t("../../plots/attributes"),s=t("../../lib/extend").extendFlat,l=t("../../plot_api/edit_types").overrideAll;function c(t){return{show:{valType:"boolean",dflt:!1},start:{valType:"number",dflt:null,editType:"plot"},end:{valType:"number",dflt:null,editType:"plot"},size:{valType:"number",dflt:null,min:0,editType:"plot"},project:{x:{valType:"boolean",dflt:!1},y:{valType:"boolean",dflt:!1},z:{valType:"boolean",dflt:!1}},color:{valType:"color",dflt:n.defaultLine},usecolormap:{valType:"boolean",dflt:!1},width:{valType:"number",min:1,max:16,dflt:2},highlight:{valType:"boolean",dflt:!0},highlightcolor:{valType:"color",dflt:n.defaultLine},highlightwidth:{valType:"number",min:1,max:16,dflt:2}}}var u=e.exports=l(s({z:{valType:"data_array"},x:{valType:"data_array"},y:{valType:"data_array"},text:{valType:"string",dflt:"",arrayOk:!0},hovertext:{valType:"string",dflt:"",arrayOk:!0},hovertemplate:a(),connectgaps:{valType:"boolean",dflt:!1,editType:"calc"},surfacecolor:{valType:"data_array"}},i("",{colorAttr:"z or surfacecolor",showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:"calc"}),{contours:{x:c(),y:c(),z:c()},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:s({},i.zauto,{}),zmin:s({},i.zmin,{}),zmax:s({},i.zmax,{})},hoverinfo:s({},o.hoverinfo)}),"calc","nested");u.x.editType=u.y.editType=u.z.editType="calc+clearAxisTypes",u.transforms=void 0},{"../../components/color":593,"../../components/colorscale/attributes":600,"../../components/fx/hovertemplate_attributes":631,"../../lib/extend":710,"../../plot_api/edit_types":750,"../../plots/attributes":764}],1226:[function(t,e,r){"use strict";var n=t("../../components/colorscale/calc");e.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:"",cLetter:"c"}):n(t,e,{vals:e.z,containerStr:"",cLetter:"c"})}},{"../../components/colorscale/calc":601}],1227:[function(t,e,r){"use strict";var n=t("gl-surface3d"),i=t("ndarray"),a=t("ndarray-homography"),o=t("ndarray-fill"),s=t("../../lib").isArrayOrTypedArray,l=t("../../lib/gl_format_color").parseColorScale,c=t("../../lib/str2rgbarray"),u=t("../../components/colorscale").extractOpts,h=t("../heatmap/interp2d"),f=t("../heatmap/find_empties");function p(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var d=p.prototype;d.getXat=function(t,e,r,n){var i=s(this.data.x)?s(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},d.getYat=function(t,e,r,n){var i=s(this.data.y)?s(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},d.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},d.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){var o=t.dataCoordinate[a];null!=o&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var s=this.data.hovertext||this.data.text;return Array.isArray(s)&&s[i]&&void 0!==s[i][n]?t.textLabel=s[i][n]:t.textLabel=s||"",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var g=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function 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r=!1,n=0;n<t.length;n++)if(e===t[n]){r=!0;break}!1===r&&t.push(e)}d.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r<t.length;r++)e=x(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<_;)r*=2;for(;r>w;)r--,r/=y(r),++r<_&&(r=w);var n=Math.round(r/t);return n>1?n:1},d.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],o=t[0].shape[1],s=0|Math.floor(t[0].shape[0]*e+1),l=0|Math.floor(t[0].shape[1]*r+1),c=1+n+1,u=1+o+1,h=i(new Float32Array(c*u),[c,u]),f=0;f<t.length;++f){this.surface.padField(h,t[f]);var p=i(new Float32Array(s*l),[s,l]);a(p,h,[e,0,0,0,r,0,0,0,1]),t[f]=p}},d.setContourLevels=function(){var 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n=t("../../components/annotations/attributes"),i=t("../../lib/extend").extendFlat,a=t("../../plot_api/edit_types").overrideAll,o=t("../../plots/font_attributes"),s=t("../../plots/domain").attributes;t("../../constants/docs").FORMAT_LINK;(e.exports=a({domain:s({name:"table",trace:!0}),columnwidth:{valType:"number",arrayOk:!0,dflt:null},columnorder:{valType:"data_array"},header:{values:{valType:"data_array",dflt:[]},format:{valType:"data_array",dflt:[]},prefix:{valType:"string",arrayOk:!0,dflt:null},suffix:{valType:"string",arrayOk:!0,dflt:null},height:{valType:"number",dflt:28},align:i({},n.align,{arrayOk:!0}),line:{width:{valType:"number",arrayOk:!0,dflt:1},color:{valType:"color",arrayOk:!0,dflt:"grey"}},fill:{color:{valType:"color",arrayOk:!0,dflt:"white"}},font:i({},o({arrayOk:!0}))},cells:{values:{valType:"data_array",dflt:[]},format:{valType:"data_array",dflt:[]},prefix:{valType:"string",arrayOk:!0,dflt:null},suffix:{valType:"string",arrayOk:!0,dflt:null},height:{valType:"number",dflt:20},align:i({},n.align,{arrayOk:!0}),line:{width:{valType:"number",arrayOk:!0,dflt:1},color:{valType:"color",arrayOk:!0,dflt:"grey"}},fill:{color:{valType:"color",arrayOk:!0,dflt:"white"}},font:i({},o({arrayOk:!0}))}},"calc","from-root")).transforms=void 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C=Math.max(o(e.header.line.width),o(e.cells.line.width)),L={key:e.uid+t._context.staticPlot,translateX:v.x[0]*t._fullLayout._size.w,translateY:t._fullLayout._size.h*(1-v.y[1]),size:t._fullLayout._size,width:m,maxLineWidth:C,height:y,columnOrder:M,groupHeight:y,rowBlocks:T,headerRowBlocks:k,scrollY:0,cells:i({},e.cells,{values:r}),headerCells:i({},e.header,{values:g}),gdColumns:g.map(function(t){return t[0]}),gdColumnsOriginalOrder:g.map(function(t){return t[0]}),prevPages:[0,0],scrollbarState:{scrollbarScrollInProgress:!1},columns:g.map(function(t,e){var r=A[t];return A[t]=(r||0)+1,{key:t+"__"+A[t],label:t,specIndex:e,xIndex:M[e],xScale:u,x:void 0,calcdata:void 0,columnWidth:S[e]}})};return L.columns.forEach(function(t){t.calcdata=L,t.x=u(t)}),L}},{"../../lib/extend":710,"./constants":1233,"fast-isnumeric":225}],1235:[function(t,e,r){"use strict";var n=t("../../lib/extend").extendFlat;r.splitToPanels=function(t){var 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n=t("../box/attributes"),i=t("../../lib/extend").extendFlat;e.exports={y:n.y,x:n.x,x0:n.x0,y0:n.y0,name:i({},n.name,{}),orientation:i({},n.orientation,{}),bandwidth:{valType:"number",min:0,editType:"calc"},scalegroup:{valType:"string",dflt:"",editType:"calc"},scalemode:{valType:"enumerated",values:["width","count"],dflt:"width",editType:"calc"},spanmode:{valType:"enumerated",values:["soft","hard","manual"],dflt:"soft",editType:"calc"},span:{valType:"info_array",items:[{valType:"any",editType:"calc"},{valType:"any",editType:"calc"}],editType:"calc"},line:{color:{valType:"color",editType:"style"},width:{valType:"number",min:0,dflt:2,editType:"style"},editType:"plot"},fillcolor:n.fillcolor,points:i({},n.boxpoints,{}),jitter:i({},n.jitter,{}),pointpos:i({},n.pointpos,{}),width:i({},n.width,{}),marker:n.marker,text:n.text,hovertext:n.hovertext,hovertemplate:n.hovertemplate,box:{visible:{valType:"boolean",dflt:!1,editType:"plot"},width:{valType:"number",min:0,max:1,dflt:.25,editType:"plot"},fillcolor:{valType:"color",editType:"style"},line:{color:{valType:"color",editType:"style"},width:{valType:"number",min:0,editType:"style"},editType:"style"},editType:"plot"},meanline:{visible:{valType:"boolean",dflt:!1,editType:"plot"},color:{valType:"color",editType:"style"},width:{valType:"number",min:0,editType:"style"},editType:"plot"},side:{valType:"enumerated",values:["both","positive","negative"],dflt:"both",editType:"calc"},offsetgroup:n.offsetgroup,alignmentgroup:n.alignmentgroup,selected:n.selected,unselected:n.unselected,hoveron:{valType:"flaglist",flags:["violins","points","kde"],dflt:"violins+points+kde",extras:["all"],editType:"style"}}},{"../../lib/extend":710,"../box/attributes":880}],1240:[function(t,e,r){"use 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rendered"><div class="prompt input_prompt"> </div><div class="inner_cell"> <div class="text_cell_render border-box-sizing rendered_html"> <p>I'd like to refresh the comercial aspect of the data world for an interview. For this I gathered a list of <em>Key Performance Indicators</em> to use in practice problems, scrapping from a few websites using HTTP requests, Selenium, regular expressions and XPath.</p> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [9]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-ipython3"><pre><span></span><span class="n">kpis</span> <span class="o">=</span> <span class="p">{}</span> <span class="k">for</span> <span class="n">category</span> <span class="ow">in</span> <span class="n">categories</span><span class="p">:</span> <span class="n">name</span> <span class="o">=</span> <span class="n">category</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s1">'/'</span><span class="p">)[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="nb">print</span><span class="p">(</span><span class="n">name</span><span class="p">)</span> <span class="n">chrome</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="n">category</span><span class="p">)</span> <span class="k">try</span><span class="p">:</span> <span class="n">extra</span> <span class="o">=</span> <span class="n">chrome</span><span class="o">.</span><span class="n">find_element_by_xpath</span><span class="p">(</span><span class="s1">'//div[@id="featured-snippet"]/ul'</span><span class="p">)</span><span class="o">.</span><span class="n">text</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s1">'</span><span class="se">\n</span><span class="s1">'</span><span class="p">)</span> <span class="k">except</span><span class="p">:</span> <span class="n">extra</span> <span class="o">=</span> <span class="p">[]</span> <span class="n">kpis</span><span class="p">[</span><span class="n">name</span><span class="p">]</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="nb">set</span><span class="p">([</span><span class="n">e</span><span class="o">.</span><span class="n">text</span> <span class="k">for</span> <span class="n">e</span> <span class="ow">in</span> <span class="n">chrome</span><span class="o">.</span><span class="n">find_elements_by_xpath</span><span class="p">(</span><span class="s1">'//h3[@class="strong h4"]'</span><span class="p">)]</span> <span class="o">+</span> <span class="n">extra</span><span class="p">))</span> <span class="n">sleep</span><span class="p">(</span><span class="mi">3</span><span class="p">)</span> </pre></div> </div> </div> </div> <div class="output_wrapper"> <div class="output"> <div class="output_area"> <div class="prompt"></div> <div class="output_subarea output_stream output_stdout output_text"> <pre>marketing sales saas-metrics digital-marketing social-media seo email-marketing financial devops supply-chain call-center healthcare support retail help-desk insurance ecommerce human-resources </pre> </div> </div> </div> </div> </div> <div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt"> </div><div class="inner_cell"> <div class="text_cell_render border-box-sizing rendered_html"> <p><a href="https://cerebrock.github.io/posts/sKaPIng/">Read more…</a> (6 min remaining to read)</p></div></div></div></div>businessscrapinghttps://cerebrock.github.io/posts/sKaPIng/Thu, 14 Nov 2019 03:00:00 GMThttps://cerebrock.github.io/posts/Some%20audio%20viz/MG<div><div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [28]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-ipython3"><pre><span></span><span class="n">sampleo</span> <span class="o">=</span> <span class="mi">48000</span> <span class="n">rec</span> <span class="o">=</span> <span class="n">grabar</span><span class="p">(</span><span class="n">duracion</span><span class="o">=</span><span class="mi">15</span><span class="p">,</span> <span class="n">sampleo</span><span class="o">=</span><span class="n">sampleo</span><span class="p">)</span> <span class="n">display</span><span class="p">(</span> <span class="n">Audio</span><span class="p">(</span> <span class="n">stereo2mono</span><span class="p">(</span> <span class="n">rec</span><span class="p">[</span><span class="n">sampleo</span><span class="p">:]),</span> <span class="n">rate</span><span class="o">=</span><span class="n">sampleo</span> <span class="p">)</span> <span class="p">)</span> </pre></div> </div> </div> </div> <div class="output_wrapper"> <div class="output"> <div class="output_area"> <div class="prompt"></div> <div class="output_subarea output_stream output_stdout output_text"> <pre>Recording Audio... Audio recording complete. </pre> </div> </div> <div class="output_area"> <div class="prompt"></div> <div class="output_html rendered_html output_subarea "> <audio controls="controls"> <source 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type="audio/wav"></source> Your browser does not support the audio element. </audio> </div> </div> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [33]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-ipython3"><pre><span></span><span class="n">plot_multiple</span><span class="p">(</span><span class="n">stereo2mono</span><span class="p">(</span><span class="n">rec</span><span class="p">[</span><span class="n">sampleo</span><span class="p">:]),</span> <span class="n">fs</span><span class="o">=</span><span class="n">sampleo</span><span class="p">)</span> </pre></div> </div> </div> </div> <div class="output_wrapper"> <div class="output"> <div class="output_area"> <div class="prompt"></div> <div class="output_png output_subarea "> <img 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"> </div> </div> </div> </div> </div> <div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt"> </div><div class="inner_cell"> <div class="text_cell_render border-box-sizing rendered_html"> <p><img src="https://upload.wikimedia.org/score/t/l/tloy3izhcij4akdtr3k3sofdoh5u2xu/tloy3izh.png" alt="faune"></p> </div> </div> </div> <div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt"> </div><div class="inner_cell"> <div class="text_cell_render border-box-sizing rendered_html"> <p>Con un poco de atención, podemos observar, del gráfico superior al inferior:</p> <ul> <li>El vibrato de la flauta</li> <li>El tono de la obra (C# ~554hz, <em>Prélude à l'après-midi d'un faune</em>)</li> <li>La melodía </li> </ul> <p>😃🤟</p> <p><del>Oops! <a href="https://www.youtube.com/watch?v=vabZ4H1NCeQ">https://www.youtube.com/watch?v=vabZ4H1NCeQ</a></del></p> </div> </div> </div> <div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt"> </div><div class="inner_cell"> <div class="text_cell_render border-box-sizing rendered_html"> <p><a href="https://cerebrock.github.io/posts/Some%20audio%20viz/">Read more…</a> (2 min remaining to read)</p></div></div></div></div>audioespañolmusichttps://cerebrock.github.io/posts/Some%20audio%20viz/Thu, 14 Nov 2019 03:00:00 GMT