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    "# IT Salary Survey December 2023\n",
    "\n",
    "An anonymous salary survey has been traditionally conducted annually since 2015 among European IT specialists in Germany. Below, you will find an in-depth comparative analysis of the aggregated anonymised responses from voluntary participants.\n",
    "\n",
    "__Purpose__: to learn a competitive value of a skillset for IT specialists depending on years of experience, position, level, etc.\n",
    "\n",
    "__Audience__: most respondents are expats living in Germany and working either for Germany or abroad (remote).\n",
    "\n",
    "* Previous analysis (2022) can be found [here](https://github.com/Ksyula/Salary-report/blob/master/Salary_servey_report_2022/salary-report-2022.ipynb) \n",
    "* Previously collected raw datasets are here - [2019-2023](https://docs.google.com/spreadsheets/d/1DjPgQeBu53I0Dws4YMbXyyQdWDLpMtkSu4FhGux0epY/edit#gid=1307037529)\n",
    "\n",
    "As always thanks to everyone participating!"
   ]
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    "## The overall dynamics over 2015 – 2023\n",
    "\n",
    "In December 2023, 714 participants from Germany completed the questionnaire, compared to 767 in 2022. The line chart below illustrates how the median base salary (excluding bonuses and stocks) has changed annually since 2015. In 2023, the median salary rose from 80k to 85k compared to the previous year, 2022."
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F=e.borderwidth,B=e.borderpad,N=F+B,j=R.append(\"rect\").attr(\"class\",\"bg\").style(\"stroke-width\",F+\"px\").call(u.stroke,e.bordercolor).call(u.fill,e.bgcolor),U=e.width||e.height,V=w._topclips.selectAll(\"#\"+L).data(U?[0]:[]);V.enter().append(\"clipPath\").classed(\"annclip\",!0).attr(\"id\",L).append(\"rect\"),V.exit().remove();var H=e.font,q=w._meta?o.templateString(e.text,w._meta):e.text,G=R.append(\"text\").classed(\"annotation-text\",!0).text(q);k.annotationText?G.call(h.makeEditable,{delegate:R,gd:t}).call(Y).on(\"edit\",(function(r){e.text=r,this.call(Y),S(\"text\",r),y&&y.autorange&&M(y._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0),i.call(\"_guiRelayout\",t,E())})):G.call(Y)}else n.selectAll(\"#\"+L).remove();function Z(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return a&&(n.subplotId=a),n}function Y(r){return 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yt=w[\"x\"===et?\"width\":\"height\"];if(\"paper\"===rt&&(ft.head=o.constrain(ft.head,1,yt-1)),\"pixel\"===nt){var mt=-Math.max(ft.tail-3,ft.text),xt=Math.min(ft.tail+3,ft.text)-yt;mt>0?(ft.tail+=mt,ft.text+=mt):xt>0&&(ft.tail-=xt,ft.text-=xt)}ft.tail+=ct,ft.head+=ct}else K=tt=lt*q(Q,ut),ft.text=J+tt;ft.text+=ct,tt+=ct,K+=ct,e[\"_\"+et+\"padplus\"]=lt/2+K,e[\"_\"+et+\"padminus\"]=lt/2-K,e[\"_\"+et+\"size\"]=lt,e[\"_\"+et+\"shift\"]=tt}if(Y)R.remove();else{var bt=0,_t=0;if(\"left\"!==e.align&&(bt=(A-b)*(\"center\"===e.align?.5:1)),\"top\"!==e.valign&&(_t=(z-_)*(\"middle\"===e.valign?.5:1)),f)n.select(\"svg\").attr({x:N+bt-1,y:N+_t}).call(c.setClipUrl,U?L:null,t);else{var wt=N+_t-v.top,Tt=N+bt-v.left;G.call(h.positionText,Tt,wt).call(c.setClipUrl,U?L:null,t)}V.select(\"rect\").call(c.setRect,N,N,A,z),j.call(c.setRect,F/2,F/2,B-F,H-F),R.call(c.setTranslate,Math.round(C.x.text-B/2),Math.round(C.y.text-H/2)),I.attr({transform:\"rotate(\"+P+\",\"+C.x.text+\",\"+C.y.text+\")\"});var kt,At=function(r,n){O.selectAll(\".annotation-arrow-g\").remove();var l=C.x.head,f=C.y.head,h=C.x.tail+r,p=C.y.tail+n,v=C.x.text+r,b=C.y.text+n,_=o.rotationXYMatrix(P,v,b),w=o.apply2DTransform(_),A=o.apply2DTransform2(_),L=+j.attr(\"width\"),D=+j.attr(\"height\"),z=v-.5*L,F=z+L,B=b-.5*D,N=B+D,U=[[z,B,z,N],[z,N,F,N],[F,N,F,B],[F,B,z,B]].map(A);if(!U.reduce((function(t,e){return t^!!o.segmentsIntersect(l,f,l+1e6,f+1e6,e[0],e[1],e[2],e[3])}),!1)){U.forEach((function(t){var e=o.segmentsIntersect(h,p,l,f,t[0],t[1],t[2],t[3]);e&&(h=e.x,p=e.y)}));var V=e.arrowwidth,H=e.arrowcolor,q=e.arrowside,G=O.append(\"g\").style({opacity:u.opacity(H)}).classed(\"annotation-arrow-g\",!0),Z=G.append(\"path\").attr(\"d\",\"M\"+h+\",\"+p+\"L\"+l+\",\"+f).style(\"stroke-width\",V+\"px\").call(u.stroke,u.rgb(H));if(g(Z,q,e),k.annotationPosition&&Z.node().parentNode&&!a){var Y=l,W=f;if(e.standoff){var X=Math.sqrt(Math.pow(l-h,2)+Math.pow(f-p,2));Y+=e.standoff*(h-l)/X,W+=e.standoff*(p-f)/X}var J,K,$=G.append(\"path\").classed(\"annotation-arrow\",!0).classed(\"anndrag\",!0).classed(\"cursor-move\",!0).attr({d:\"M3,3H-3V-3H3ZM0,0L\"+(h-Y)+\",\"+(p-W),transform:s(Y,W)}).style(\"stroke-width\",V+6+\"px\").call(u.stroke,\"rgba(0,0,0,0)\").call(u.fill,\"rgba(0,0,0,0)\");d.init({element:$.node(),gd:t,prepFn:function(){var t=c.getTranslate(R);J=t.x,K=t.y,y&&y.autorange&&M(y._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0)},moveFn:function(t,r){var n=w(J,K),i=n[0]+t,a=n[1]+r;R.call(c.setTranslate,i,a),S(\"x\",m(y,t,\"x\",T,e)),S(\"y\",m(x,r,\"y\",T,e)),e.axref===e.xref&&S(\"ax\",m(y,t,\"ax\",T,e)),e.ayref===e.yref&&S(\"ay\",m(x,r,\"ay\",T,e)),G.attr(\"transform\",s(t,r)),I.attr({transform:\"rotate(\"+P+\",\"+i+\",\"+a+\")\"})},doneFn:function(){i.call(\"_guiRelayout\",t,E());var 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e=t._fullLayout;e._infolayer.selectAll(\".annotation\").remove();for(var r=0;r<e.annotations.length;r++)e.annotations[r].visible&&y(t,r);return a.previousPromises(t)},drawOne:y,drawRaw:x}},13011:function(t,e,r){\"use strict\";var n=r(39898),i=r(7901),a=r(82884),o=r(71828),s=o.strScale,l=o.strRotate,u=o.strTranslate;t.exports=function(t,e,r){var o,c,f,h,p=t.node(),d=a[r.arrowhead||0],v=a[r.startarrowhead||0],g=(r.arrowwidth||1)*(r.arrowsize||1),y=(r.arrowwidth||1)*(r.startarrowsize||1),m=e.indexOf(\"start\")>=0,x=e.indexOf(\"end\")>=0,b=d.backoff*g+r.standoff,_=v.backoff*y+r.startstandoff;if(\"line\"===p.nodeName){o={x:+t.attr(\"x1\"),y:+t.attr(\"y1\")},c={x:+t.attr(\"x2\"),y:+t.attr(\"y2\")};var w=o.x-c.x,T=o.y-c.y;if(h=(f=Math.atan2(T,w))+Math.PI,b&&_&&b+_>Math.sqrt(w*w+T*T))return void D();if(b){if(b*b>w*w+T*T)return void D();var k=b*Math.cos(f),A=b*Math.sin(f);c.x+=k,c.y+=A,t.attr({x2:c.x,y2:c.y})}if(_){if(_*_>w*w+T*T)return void D();var M=_*Math.cos(f),S=_*Math.sin(f);o.x-=M,o.y-=S,t.attr({x1:o.x,y1:o.y})}}else if(\"path\"===p.nodeName){var E=p.getTotalLength(),L=\"\";if(E<b+_)return void D();var C=p.getPointAtLength(0),P=p.getPointAtLength(.1);f=Math.atan2(C.y-P.y,C.x-P.x),o=p.getPointAtLength(Math.min(_,E)),L=\"0px,\"+_+\"px,\";var O=p.getPointAtLength(E),I=p.getPointAtLength(E-.1);h=Math.atan2(O.y-I.y,O.x-I.x),c=p.getPointAtLength(Math.max(0,E-b)),L+=E-(L?_+b:b)+\"px,\"+E+\"px\",t.style(\"stroke-dasharray\",L)}function D(){t.style(\"stroke-dasharray\",\"0px,100px\")}function z(e,a,o,c){e.path&&(e.noRotate&&(o=0),n.select(p.parentNode).append(\"path\").attr({class:t.attr(\"class\"),d:e.path,transform:u(a.x,a.y)+l(180*o/Math.PI)+s(c)}).style({fill:i.rgb(r.arrowcolor),\"stroke-width\":0}))}m&&z(v,o,f,y),x&&z(d,c,h,g)}},32745:function(t,e,r){\"use strict\";var n=r(92605),i=r(44317);t.exports={moduleType:\"component\",name:\"annotations\",layoutAttributes:r(50215),supplyLayoutDefaults:r(84046),includeBasePlot:r(76325)(\"annotations\"),calcAutorange:r(3749),draw:n.draw,drawOne:n.drawOne,drawRaw:n.drawRaw,hasClickToShow:i.hasClickToShow,onClick:i.onClick,convertCoords:r(94128)}},26997:function(t,e,r){\"use strict\";var n=r(50215),i=r(30962).overrideAll,a=r(44467).templatedArray;t.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\")},5485:function(t,e,r){\"use strict\";var n=r(71828),i=r(89298);function a(t,e){var r=e.fullSceneLayout.domain,a=e.fullLayout._size,o={pdata:null,type:\"linear\",autorange:!1,range:[-1/0,1/0]};t._xa={},n.extendFlat(t._xa,o),i.setConvert(t._xa),t._xa._offset=a.l+r.x[0]*a.w,t._xa.l2p=function(){return.5*(1+t._pdata[0]/t._pdata[3])*a.w*(r.x[1]-r.x[0])},t._ya={},n.extendFlat(t._ya,o),i.setConvert(t._ya),t._ya._offset=a.t+(1-r.y[1])*a.h,t._ya.l2p=function(){return.5*(1-t._pdata[1]/t._pdata[3])*a.h*(r.y[1]-r.y[0])}}t.exports=function(t){for(var e=t.fullSceneLayout.annotations,r=0;r<e.length;r++)a(e[r],t);t.fullLayout._infolayer.selectAll(\".annotation-\"+t.id).remove()}},20226:function(t,e,r){\"use strict\";var n=r(71828),i=r(89298),a=r(85501),o=r(25625),s=r(26997);function l(t,e,r,a){function l(r,i){return n.coerce(t,e,s,r,i)}function u(t){var n=t+\"axis\",a={_fullLayout:{}};return 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n=r(39898),i=r(92770),a=r(84267),o=r(71828),s=o.strTranslate,l=o.strRotate,u=r(11086),c=r(63893),f=r(39918),h=r(91424),p=r(7901),d=r(28569),v=r(89298),g=r(73972),y=r(23469),m=r(26675),x=r(99017),b=r(43969),_=m.YANGLE,w=Math.PI*_/180,T=1/Math.sin(w),k=Math.cos(w),A=Math.sin(w),M=m.HOVERARROWSIZE,S=m.HOVERTEXTPAD,E={box:!0,ohlc:!0,violin:!0,candlestick:!0},L={scatter:!0,scattergl:!0,splom:!0};function C(t){return[t.trace.index,t.index,t.x0,t.y0,t.name,t.attr,t.xa?t.xa._id:\"\",t.ya?t.ya._id:\"\"].join(\",\")}e.hover=function(t,e,r,a){t=o.getGraphDiv(t);var s=e.target;o.throttle(t._fullLayout._uid+m.HOVERID,m.HOVERMINTIME,(function(){!function(t,e,r,a,s){r||(r=\"xy\");var l=Array.isArray(r)?r:[r],c=t._fullLayout,h=c._plots||[],v=h[r],m=c._has(\"cartesian\");if(v){var x=v.overlays.map((function(t){return t.id}));l=l.concat(x)}for(var b=l.length,_=new Array(b),w=new Array(b),k=!1,A=0;A<b;A++){var S=l[A];if(h[S])k=!0,_[A]=h[S].xaxis,w[A]=h[S].yaxis;else{if(!c[S]||!c[S]._subplot)return void 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ct=o.apply3DTransform(c._invTransform)(st,lt);if(st=ct[0],lt=ct[1],st<0||st>_[0]._length||lt<0||lt>w[0]._length)return d.unhoverRaw(t,e)}else st=\"xpx\"in e?e.xpx:_[0]._length/2,lt=\"ypx\"in e?e.ypx:w[0]._length/2;if(e.pointerX=st+_[0]._offset,e.pointerY=lt+w[0]._offset,q=\"xval\"in e?y.flat(l,e.xval):y.p2c(_,st),G=\"yval\"in e?y.flat(l,e.yval):y.p2c(w,lt),!i(q[0])||!i(G[0]))return o.warn(\"Fx.hover failed\",e,t),d.unhoverRaw(t,e)}var ft=1/0;function ht(t,r){for(Y=0;Y<it.length;Y++)if((W=it[Y])&&W[0]&&W[0].trace&&!0===(X=W[0].trace).visible&&0!==X._length&&-1===[\"carpet\",\"contourcarpet\"].indexOf(X._module.name)){if(\"splom\"===X.type?J=l[K=0]:(J=y.getSubplot(X),K=l.indexOf(J)),$=I,y.isUnifiedHover($)&&($=$.charAt(0)),et={cd:W,trace:X,xa:_[K],ya:w[K],maxHoverDistance:N,maxSpikeDistance:H,index:!1,distance:Math.min(ft,N),spikeDistance:1/0,xSpike:void 0,ySpike:void 0,color:p.defaultLine,name:X.name,x0:void 0,x1:void 0,y0:void 0,y1:void 0,xLabelVal:void 0,yLabelVal:void 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data\"!==t.xa.spikesnap}));if(d.length){var v=d[0];i(v.x0)&&i(v.y0)&&(h=dt(v),(!at.vLinePoint||at.vLinePoint.spikeDistance>h.spikeDistance)&&(at.vLinePoint=h))}var g=f.filter((function(t){return t.ya.showspikes&&\"hovered data\"!==t.ya.spikesnap}));if(g.length){var x=g[0];i(x.x0)&&i(x.y0)&&(h=dt(x),(!at.hLinePoint||at.hLinePoint.spikeDistance>h.spikeDistance)&&(at.hLinePoint=h))}}}}}function pt(t,e,r){for(var n,i=null,a=1/0,o=0;o<t.length;o++)n=t[o].spikeDistance,r&&0===o&&(n=-1/0),n<=a&&n<=e&&(i=t[o],a=n);return i}function dt(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}ht();var vt={fullLayout:c,container:c._hoverlayer,event:e},gt=t._spikepoints,yt={vLinePoint:at.vLinePoint,hLinePoint:at.hLinePoint};t._spikepoints=yt;var mt=function(){nt.sort((function(t,e){return t.distance-e.distance})),nt=function(t,e){for(var r=e.charAt(0),n=[],i=[],a=[],o=0;o<t.length;o++){var s=t[o];g.traceIs(s.trace,\"bar-like\")||g.traceIs(s.trace,\"box-violin\")?a.push(s):s.trace[r+\"period\"]?i.push(s):n.push(s)}return n.concat(i).concat(a)}(nt,I)};mt();var xt=I.charAt(0),bt=(\"x\"===xt||\"y\"===xt)&&nt[0]&&L[nt[0].trace.type];if(m&&0!==H&&0!==nt.length){var _t=pt(nt.filter((function(t){return t.ya.showspikes})),H,bt);at.hLinePoint=dt(_t);var wt=pt(nt.filter((function(t){return t.xa.showspikes})),H,bt);at.vLinePoint=dt(wt)}if(0===nt.length){var Tt=d.unhoverRaw(t,e);return!m||null===at.hLinePoint&&null===at.vLinePoint||B(gt)&&F(t,at,vt),Tt}if(m&&B(gt)&&F(t,at,vt),y.isXYhover($)&&0!==nt[0].length&&\"splom\"!==nt[0].trace.type){var kt=nt[0],At=(nt=E[kt.trace.type]?nt.filter((function(t){return t.trace.index===kt.trace.index})):[kt]).length;ht(j(\"x\",kt,c),j(\"y\",kt,c));var Mt,St=[],Et={},Lt=0,Ct=function(t){var e=E[t.trace.type]?C(t):t.trace.index;if(Et[e]){var r=Et[e]-1,n=St[r];r>0&&Math.abs(t.distance)<Math.abs(n.distance)&&(St[r]=t)}else Lt++,Et[e]=Lt,St.push(t)};for(Mt=0;Mt<At;Mt++)Ct(nt[Mt]);for(Mt=nt.length-1;Mt>At-1;Mt--)Ct(nt[Mt]);nt=St,mt()}var Pt=t._hoverdata,Ot=[],It=U(t),Dt=V(t);for(Z=0;Z<nt.length;Z++){var zt=nt[Z],Rt=y.makeEventData(zt,zt.trace,zt.cd);if(!1!==zt.hovertemplate){var Ft=!1;zt.cd[zt.index]&&zt.cd[zt.index].ht&&(Ft=zt.cd[zt.index].ht),zt.hovertemplate=Ft||zt.trace.hovertemplate||!1}if(zt.xa&&zt.ya){var Bt=zt.x0+zt.xa._offset,Nt=zt.x1+zt.xa._offset,jt=zt.y0+zt.ya._offset,Ut=zt.y1+zt.ya._offset,Vt=Math.min(Bt,Nt),Ht=Math.max(Bt,Nt),qt=Math.min(jt,Ut),Gt=Math.max(jt,Ut);Rt.bbox={x0:Vt+Dt,x1:Ht+Dt,y0:qt+It,y1:Gt+It}}zt.eventData=[Rt],Ot.push(Rt)}t._hoverdata=Ot;var Zt=\"y\"===I&&(it.length>1||nt.length>1)||\"closest\"===I&&ot&&nt.length>1,Yt=p.combine(c.plot_bgcolor||p.background,c.paper_bgcolor),Wt=O(nt,{gd:t,hovermode:I,rotateLabels:Zt,bgColor:Yt,container:c._hoverlayer,outerContainer:c._paper.node(),commonLabelOpts:c.hoverlabel,hoverdistance:c.hoverdistance}),Xt=Wt.hoverLabels;if(y.isUnifiedHover(I)||(function(t,e,r,n){var i,a,o,s,l,u,c,f=e?\"xa\":\"ya\",h=e?\"ya\":\"xa\",p=0,d=1,v=t.size(),g=new Array(v),y=0,m=n.minX,x=n.maxX,b=n.minY,_=n.maxY,w=function(t){return t*r._invScaleX},k=function(t){return t*r._invScaleY};function A(t){var e=t[0],r=t[t.length-1];if(a=e.pmin-e.pos-e.dp+e.size,o=r.pos+r.dp+r.size-e.pmax,a>.01){for(l=t.length-1;l>=0;l--)t[l].dp+=a;i=!1}if(!(o<.01)){if(a<-.01){for(l=t.length-1;l>=0;l--)t[l].dp-=o;i=!1}if(i){var n=0;for(s=0;s<t.length;s++)(u=t[s]).pos+u.dp+u.size>e.pmax&&n++;for(s=t.length-1;s>=0&&!(n<=0);s--)(u=t[s]).pos>e.pmax-1&&(u.del=!0,n--);for(s=0;s<t.length&&!(n<=0);s++)if((u=t[s]).pos<e.pmin+1)for(u.del=!0,n--,o=2*u.size,l=t.length-1;l>=0;l--)t[l].dp-=o;for(s=t.length-1;s>=0&&!(n<=0);s--)(u=t[s]).pos+u.dp+u.size>e.pmax&&(u.del=!0,n--)}}}for(t.each((function(t){var n=t[f],i=t[h],a=\"x\"===n._id.charAt(0),o=n.range;0===y&&o&&o[0]>o[1]!==a&&(d=-1);var s=0,l=a?r.width:r.height;if(\"x\"===r.hovermode||\"y\"===r.hovermode){var u,c,p=D(t,e),v=t.anchor,A=\"end\"===v?-1:1;if(\"middle\"===v)c=(u=t.crossPos+(a?k(p.y-t.by/2):w(t.bx/2+t.tx2width/2)))+(a?k(t.by):w(t.bx));else if(a)c=(u=t.crossPos+k(M+p.y)-k(t.by/2-M))+k(t.by);else{var S=w(A*M+p.x),E=S+w(A*t.bx);u=t.crossPos+Math.min(S,E),c=t.crossPos+Math.max(S,E)}a?void 0!==b&&void 0!==_&&Math.min(c,_)-Math.max(u,b)>1&&(\"left\"===i.side?(s=i._mainLinePosition,l=r.width):l=i._mainLinePosition):void 0!==m&&void 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Jt=g.getComponentMethod(\"annotations\",\"hasClickToShow\")(t,Ot);f(n.select(s),Jt?\"pointer\":\"\")}s&&!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,Pt)&&(Pt&&t.emit(\"plotly_unhover\",{event:e,points:Pt}),t.emit(\"plotly_hover\",{event:e,points:t._hoverdata,xaxes:_,yaxes:w,xvals:q,yvals:G}))}(t,e,r,a,s)}))},e.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=U(i),o=V(i),s=O(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,u=t.eventData;if(u){var c=Math.min(r,n),f=Math.max(r,n),h=Math.min(s,l),d=Math.max(s,l),v=t.trace;if(g.traceIs(v,\"gl3d\")){var y=i._fullLayout[v.scene]._scene.container,m=y.offsetLeft,x=y.offsetTop;c+=m,f+=m,h+=x,d+=x}u.bbox={x0:c+o,x1:f+o,y0:h+a,y1:d+a},e.inOut_bbox&&e.inOut_bbox.push(u.bbox)}else u=!1;return{color:t.color||p.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,hovertemplateLabels:t.hovertemplateLabels||!1,eventData:u}})),{gd:i,hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||p.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}).hoverLabels,l=0,u=0;return s.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5<l?l-n+5:0,l=n+t.by+t.offset,r===e.anchorIndex&&(u=t.offset)})).each((function(t){t.offset-=u})),z(s,!1,i._fullLayout._invScaleX,i._fullLayout._invScaleY),r?s:s.node()};var P=/<extra>([\\s\\S]*)<\\/extra>/;function O(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,u=e.rotateLabels,f=e.bgColor,d=e.container,v=e.outerContainer,w=e.commonLabelOpts||{};if(0===t.length)return[[]];var T=e.fontFamily||m.HOVERFONT,k=e.fontSize||m.HOVERFONTSIZE,A=t[0],E=A.xa,L=A.ya,P=a.charAt(0),O=P+\"Label\",D=A[O];if(void 0===D&&\"multicategory\"===E.type)for(var z=0;z<t.length&&void 0===(D=t[z][O]);z++);var R=H(r,v),F=R.top,B=R.width,N=R.height,j=void 0!==D&&A.distance<=e.hoverdistance&&(\"x\"===a||\"y\"===a);if(j){var U,V,q=!0;for(U=0;U<t.length;U++)if(q&&void 0===t[U].zLabel&&(q=!1),V=t[U].hoverinfo||t[U].trace.hoverinfo){var G=Array.isArray(V)?V:V.split(\"+\");if(-1===G.indexOf(\"all\")&&-1===G.indexOf(a)){j=!1;break}}q&&(j=!1)}var 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n,i,o=r.container,s=r.fullLayout,l=s._size,u=r.event,c=!!e.hLinePoint,f=!!e.vLinePoint;if(o.selectAll(\".spikeline\").remove(),f||c){var d=p.combine(s.plot_bgcolor,s.paper_bgcolor);if(c){var g,y,m=e.hLinePoint;n=m&&m.xa,\"cursor\"===(i=m&&m.ya).spikesnap?(g=u.pointerX,y=u.pointerY):(g=n._offset+m.x,y=i._offset+m.y);var x,b,_=a.readability(m.color,d)<1.5?p.contrast(d):m.color,w=i.spikemode,T=i.spikethickness,k=i.spikecolor||_,A=v.getPxPosition(t,i);if(-1!==w.indexOf(\"toaxis\")||-1!==w.indexOf(\"across\")){if(-1!==w.indexOf(\"toaxis\")&&(x=A,b=g),-1!==w.indexOf(\"across\")){var 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n=r(41940),i=r(22399),a=(0,r(44467).templatedArray)(\"button\",{visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},step:{valType:\"enumerated\",values:[\"month\",\"year\",\"day\",\"hour\",\"minute\",\"second\",\"all\"],dflt:\"month\",editType:\"plot\"},stepmode:{valType:\"enumerated\",values:[\"backward\",\"todate\"],dflt:\"backward\",editType:\"plot\"},count:{valType:\"number\",min:0,dflt:1,editType:\"plot\"},label:{valType:\"string\",editType:\"plot\"},editType:\"plot\"});t.exports={visible:{valType:\"boolean\",editType:\"plot\"},buttons:a,x:{valType:\"number\",min:-2,max:3,editType:\"plot\"},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"plot\"},y:{valType:\"number\",min:-2,max:3,editType:\"plot\"},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"bottom\",editType:\"plot\"},font:n({editType:\"plot\"}),bgcolor:{valType:\"color\",dflt:i.lightLine,editType:\"plot\"},activecolor:{valType:\"color\",editType:\"plot\"},bordercolor:{valType:\"color\",dflt:i.defaultLine,editType:\"plot\"},borderwidth:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"plot\"}},89573:function(t){\"use 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i,a;l.ensureSingle(t,\"text\",\"selector-text\",(function(t){t.attr(\"text-anchor\",\"middle\")})).call(s.font,e.font).text((i=r,a=n._fullLayout._meta,i.label?a?l.templateString(i.label,a):i.label:\"all\"===i.step?\"all\":i.count+i.step.charAt(0))).call((function(t){c.convertToTspans(t,n)}))}t.exports=function(t){var e=t._fullLayout._infolayer.selectAll(\".rangeselector\").data(function(t){for(var e=f.list(t,\"x\",!0),r=[],n=0;n<e.length;n++){var i=e[n];i.rangeselector&&i.rangeselector.visible&&r.push(i)}return r}(t),m);e.enter().append(\"g\").classed(\"rangeselector\",!0),e.exit().remove(),e.style({cursor:\"pointer\",\"pointer-events\":\"all\"}),e.each((function(e){var r=n.select(this),o=e,f=o.rangeselector,h=r.selectAll(\"g.button\").data(l.filterVisible(f.buttons));h.enter().append(\"g\").classed(\"button\",!0),h.exit().remove(),h.each((function(e){var r=n.select(this),a=y(o,e);e._isActive=function(t,e,r){if(\"all\"===e.step)return!0===t.autorange;var n=Object.keys(r);return t.range[0]===r[n[0]]&&t.range[1]===r[n[1]]}(o,e,a),r.call(x,f,e),r.call(b,f,e,t),r.on(\"click\",(function(){t._dragged||i.call(\"_guiRelayout\",t,a)})),r.on(\"mouseover\",(function(){e._isHovered=!0,r.call(x,f,e)})),r.on(\"mouseout\",(function(){e._isHovered=!1,r.call(x,f,e)}))})),function(t,e,r,i,o){var f=0,h=0,y=r.borderwidth;e.each((function(){var t=n.select(this).select(\".selector-text\"),e=r.font.size*p,i=Math.max(e*c.lineCount(t),16)+3;h=Math.max(h,i)})),e.each((function(){var t=n.select(this),e=t.select(\".selector-rect\"),i=t.select(\".selector-text\"),a=i.node()&&s.bBox(i.node()).width,o=r.font.size*p,l=c.lineCount(i),d=Math.max(a+10,g.minButtonWidth);t.attr(\"transform\",u(y+f,y)),e.attr({x:0,y:0,width:d,height:h}),c.positionText(i,d/2,h/2-(l-1)*o/2+3),f+=d+5}));var m=t._fullLayout._size,x=m.l+m.w*r.x,b=m.t+m.h*(1-r.y),_=\"left\";l.isRightAnchor(r)&&(x-=f,_=\"right\"),l.isCenterAnchor(r)&&(x-=f/2,_=\"center\");var w=\"top\";l.isBottomAnchor(r)&&(b-=h,w=\"bottom\"),l.isMiddleAnchor(r)&&(b-=h/2,w=\"middle\"),f=Math.ceil(f),h=Math.ceil(h),x=Math.round(x),b=Math.round(b),a.autoMargin(t,i+\"-range-selector\",{x:r.x,y:r.y,l:f*d[_],r:f*v[_],b:h*v[w],t:h*d[w]}),o.attr(\"transform\",u(x,b))}(t,h,f,o._name,r)}))}},70565:function(t,e,r){\"use strict\";var n=r(81041),i=r(71828).titleCase;t.exports=function(t,e){var r=t._name,a={};if(\"all\"===e.step)a[r+\".autorange\"]=!0;else{var o=function(t,e){var r,a=t.range,o=new Date(t.r2l(a[1])),s=e.step,l=n[\"utc\"+i(s)],u=e.count;switch(e.stepmode){case\"backward\":r=t.l2r(+l.offset(o,-u));break;case\"todate\":var c=l.offset(o,-u);r=t.l2r(+l.ceil(c))}return[r,a[1]]}(t,e);a[r+\".range[0]\"]=o[0],a[r+\".range[1]\"]=o[1]}return a}},97218:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"rangeselector\",schema:{subplots:{xaxis:{rangeselector:r(37113)}}},layoutAttributes:r(37113),handleDefaults:r(28674),draw:r(21598)}},75148:function(t,e,r){\"use 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n=r(71828),i=r(44467),a=r(41675),o=r(75148),s=r(47850);t.exports=function(t,e,r){var l=t[r],u=e[r];if(l.rangeslider||e._requestRangeslider[u._id]){n.isPlainObject(l.rangeslider)||(l.rangeslider={});var c,f,h=l.rangeslider,p=i.newContainer(u,\"rangeslider\");if(_(\"visible\")){_(\"bgcolor\",e.plot_bgcolor),_(\"bordercolor\"),_(\"borderwidth\"),_(\"thickness\"),_(\"autorange\",!u.isValidRange(h.range)),_(\"range\");var d=e._subplots;if(d)for(var v=d.cartesian.filter((function(t){return t.substr(0,t.indexOf(\"y\"))===a.name2id(r)})).map((function(t){return t.substr(t.indexOf(\"y\"),t.length)})),g=n.simpleMap(v,a.id2name),y=0;y<g.length;y++){var m=g[y];c=h[m]||{},f=i.newContainer(p,m,\"yaxis\");var x,b=e[m];c.range&&b.isValidRange(c.range)&&(x=\"fixed\"),\"match\"!==w(\"rangemode\",x)&&w(\"range\",b.range.slice())}p._input=h}}function _(t,e){return n.coerce(h,p,o,t,e)}function w(t,e){return n.coerce(c,f,s,t,e)}}},72413:function(t,e,r){\"use strict\";var 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x(t,e,r,n,i){o.ensureSingle(t,\"rect\",v.maskMinClassName,(function(t){t.attr({x:0,y:0,\"shape-rendering\":\"crispEdges\"})})).attr(\"height\",n._height).call(u.fill,v.maskColor),o.ensureSingle(t,\"rect\",v.maskMaxClassName,(function(t){t.attr({y:0,\"shape-rendering\":\"crispEdges\"})})).attr(\"height\",n._height).call(u.fill,v.maskColor),\"match\"!==i.rangemode&&(o.ensureSingle(t,\"rect\",v.maskMinOppAxisClassName,(function(t){t.attr({y:0,\"shape-rendering\":\"crispEdges\"})})).attr(\"width\",n._width).call(u.fill,v.maskOppAxisColor),o.ensureSingle(t,\"rect\",v.maskMaxOppAxisClassName,(function(t){t.attr({y:0,\"shape-rendering\":\"crispEdges\"})})).attr(\"width\",n._width).style(\"border-top\",v.maskOppBorder).call(u.fill,v.maskOppAxisColor))}function b(t,e,r,n){e._context.staticPlot||o.ensureSingle(t,\"rect\",v.slideBoxClassName,(function(t){t.attr({y:0,cursor:v.slideBoxCursor,\"shape-rendering\":\"crispEdges\"})})).attr({height:n._height,fill:v.slideBoxFill})}function _(t,e,r,n){var i=o.ensureSingle(t,\"g\",v.grabberMinClassName),a=o.ensureSingle(t,\"g\",v.grabberMaxClassName),s={x:0,width:v.handleWidth,rx:v.handleRadius,fill:u.background,stroke:u.defaultLine,\"stroke-width\":v.handleStrokeWidth,\"shape-rendering\":\"crispEdges\"},l={y:Math.round(n._height/4),height:Math.round(n._height/2)};o.ensureSingle(i,\"rect\",v.handleMinClassName,(function(t){t.attr(s)})).attr(l),o.ensureSingle(a,\"rect\",v.handleMaxClassName,(function(t){t.attr(s)})).attr(l);var c={width:v.grabAreaWidth,x:0,y:0,fill:v.grabAreaFill,cursor:e._context.staticPlot?void 0:v.grabAreaCursor};o.ensureSingle(i,\"rect\",v.grabAreaMinClassName,(function(t){t.attr(c)})).attr(\"height\",n._height),o.ensureSingle(a,\"rect\",v.grabAreaMaxClassName,(function(t){t.attr(c)})).attr(\"height\",n._height)}t.exports=function(t){for(var e=t._fullLayout,r=e._rangeSliderData,a=0;a<r.length;a++){var l=r[a][v.name];l._clipId=l._id+\"-\"+e._uid}var u=e._infolayer.selectAll(\"g.\"+v.containerClassName).data(r,(function(t){return t._name}));u.exit().each((function(t){var r=t[v.name];e._topdefs.select(\"#\"+r._clipId).remove()})).remove(),0!==r.length&&(u.enter().append(\"g\").classed(v.containerClassName,!0).attr(\"pointer-events\",\"all\"),u.each((function(r){var a=n.select(this),l=r[v.name],u=e[h.id2name(r.anchor)],f=l[h.id2name(r.anchor)];if(l.range){var w,T=o.simpleMap(l.range,r.r2l),k=o.simpleMap(r.range,r.r2l);w=k[0]<k[1]?[Math.min(T[0],k[0]),Math.max(T[1],k[1])]:[Math.max(T[0],k[0]),Math.min(T[1],k[1])],l.range=l._input.range=o.simpleMap(w,r.l2r)}r.cleanRange(\"rangeslider.range\");var A=e._size,M=r.domain;l._width=A.w*(M[1]-M[0]);var S=Math.round(A.l+A.w*M[0]),E=Math.round(A.t+A.h*(1-r._counterDomainMin)+(\"bottom\"===r.side?r._depth:0)+l._offsetShift+v.extraPad);a.attr(\"transform\",s(S,E)),l._rl=o.simpleMap(l.range,r.r2l);var L=l._rl[0],C=l._rl[1],P=C-L;if(l.p2d=function(t){return t/l._width*P+L},l.d2p=function(t){return(t-L)/P*l._width},r.rangebreaks){var O=r.locateBreaks(L,C);if(O.length){var I,D,z=0;for(I=0;I<O.length;I++)z+=(D=O[I]).max-D.min;var R=l._width/(C-L-z),F=[-R*L];for(I=0;I<O.length;I++)D=O[I],F.push(F[F.length-1]-R*(D.max-D.min));for(l.d2p=function(t){for(var e=F[0],r=0;r<O.length;r++){var n=O[r];if(t>=n.max)e=F[r+1];else if(t<n.min)break}return e+R*t},I=0;I<O.length;I++)(D=O[I]).pmin=l.d2p(D.min),D.pmax=l.d2p(D.max);l.p2d=function(t){for(var e=F[0],r=0;r<O.length;r++){var n=O[r];if(t>=n.pmax)e=F[r+1];else if(t<n.pmin)break}return(t-e)/R}}}if(\"match\"!==f.rangemode){var B=u.r2l(f.range[0]),N=u.r2l(f.range[1])-B;l.d2pOppAxis=function(t){return(t-B)/N*l._height}}a.call(g,t,r,l).call(y,t,r,l).call(m,t,r,l).call(x,t,r,l,f).call(b,t,r,l).call(_,t,r,l),function(t,e,r,a){if(!e._context.staticPlot){var s=t.select(\"rect.\"+v.slideBoxClassName).node(),l=t.select(\"rect.\"+v.grabAreaMinClassName).node(),u=t.select(\"rect.\"+v.grabAreaMaxClassName).node();t.on(\"mousedown\",c),t.on(\"touchstart\",c)}function c(){var c=n.event,f=c.target,h=c.clientX||c.touches[0].clientX,v=h-t.node().getBoundingClientRect().left,g=a.d2p(r._rl[0]),y=a.d2p(r._rl[1]),m=p.coverSlip();function x(t){var c,p,x,b=+(t.clientX||t.touches[0].clientX)-h;switch(f){case s:if(x=\"ew-resize\",g+b>r._length||y+b<0)return;c=g+b,p=y+b;break;case l:if(x=\"col-resize\",g+b>r._length)return;c=g+b,p=y;break;case u:if(x=\"col-resize\",y+b<0)return;c=g,p=y+b;break;default:x=\"ew-resize\",c=v,p=v+b}if(p<c){var _=p;p=c,c=_}a._pixelMin=c,a._pixelMax=p,d(n.select(m),x),function(t,e,r,n){function a(t){return r.l2r(o.constrain(t,n._rl[0],n._rl[1]))}var s=a(n.p2d(n._pixelMin)),l=a(n.p2d(n._pixelMax));window.requestAnimationFrame((function(){i.call(\"_guiRelayout\",e,r._name+\".range\",[s,l])}))}(0,e,r,a)}function b(){m.removeEventListener(\"mousemove\",x),m.removeEventListener(\"mouseup\",b),this.removeEventListener(\"touchmove\",x),this.removeEventListener(\"touchend\",b),o.removeElement(m)}this.addEventListener(\"touchmove\",x),this.addEventListener(\"touchend\",b),m.addEventListener(\"mousemove\",x),m.addEventListener(\"mouseup\",b)}}(a,t,r,l),function(t,e,r,n,i,a){var l=v.handleWidth/2;function u(t){return o.constrain(t,0,n._width)}function c(t){return o.constrain(t,0,n._height)}function f(t){return o.constrain(t,-l,n._width+l)}var h=u(n.d2p(r._rl[0])),p=u(n.d2p(r._rl[1]));if(t.select(\"rect.\"+v.slideBoxClassName).attr(\"x\",h).attr(\"width\",p-h),t.select(\"rect.\"+v.maskMinClassName).attr(\"width\",h),t.select(\"rect.\"+v.maskMaxClassName).attr(\"x\",p).attr(\"width\",n._width-p),\"match\"!==a.rangemode){var d=n._height-c(n.d2pOppAxis(i._rl[1])),g=n._height-c(n.d2pOppAxis(i._rl[0]));t.select(\"rect.\"+v.maskMinOppAxisClassName).attr(\"x\",h).attr(\"height\",d).attr(\"width\",p-h),t.select(\"rect.\"+v.maskMaxOppAxisClassName).attr(\"x\",h).attr(\"y\",g).attr(\"height\",n._height-g).attr(\"width\",p-h),t.select(\"rect.\"+v.slideBoxClassName).attr(\"y\",d).attr(\"height\",g-d)}var y=.5,m=Math.round(f(h-l))-y,x=Math.round(f(p-l))+y;t.select(\"g.\"+v.grabberMinClassName).attr(\"transform\",s(m,y)),t.select(\"g.\"+v.grabberMaxClassName).attr(\"transform\",s(x,y))}(a,0,r,l,u,f),\"bottom\"===r.side&&c.draw(t,r._id+\"title\",{propContainer:r,propName:r._name+\".title\",placeholder:e._dfltTitle.x,attributes:{x:r._offset+r._length/2,y:E+l._height+l._offsetShift+10+1.5*r.title.font.size,\"text-anchor\":\"middle\"}})})))}},549:function(t,e,r){\"use strict\";var n=r(41675),i=r(63893),a=r(73251),o=r(18783).LINE_SPACING,s=a.name;function l(t){var e=t&&t[s];return e&&e.visible}e.isVisible=l,e.makeData=function(t){var e=n.list({_fullLayout:t},\"x\",!0),r=t.margin,i=[];if(!t._has(\"gl2d\"))for(var a=0;a<e.length;a++){var o=e[a];if(l(o)){i.push(o);var u=o[s];u._id=s+o._id,u._height=(t.height-r.b-r.t)*u.thickness,u._offsetShift=Math.floor(u.borderwidth/2)}}t._rangeSliderData=i},e.autoMarginOpts=function(t,e){var r=t._fullLayout,n=e[s],l=e._id.charAt(0),u=0,c=0;return\"bottom\"===e.side&&(u=e._depth,e.title.text!==r._dfltTitle[l]&&(c=1.5*e.title.font.size+10+n._offsetShift,c+=(e.title.text.match(i.BR_TAG_ALL)||[]).length*e.title.font.size*o)),{x:0,y:e._counterDomainMin,l:0,r:0,t:0,b:n._height+u+Math.max(r.margin.b,c),pad:a.extraPad+2*n._offsetShift}}},13137:function(t,e,r){\"use strict\";var n=r(71828),i=r(75148),a=r(47850),o=r(549);t.exports={moduleType:\"component\",name:\"rangeslider\",schema:{subplots:{xaxis:{rangeslider:n.extendFlat({},i,{yaxis:a})}}},layoutAttributes:r(75148),handleDefaults:r(26377),calcAutorange:r(88443),draw:r(72413),isVisible:o.isVisible,makeData:o.makeData,autoMarginOpts:o.autoMarginOpts}},47850:function(t){\"use strict\";t.exports={_isSubplotObj:!0,rangemode:{valType:\"enumerated\",values:[\"auto\",\"fixed\",\"match\"],dflt:\"match\",editType:\"calc\"},range:{valType:\"info_array\",items:[{valType:\"any\",editType:\"plot\"},{valType:\"any\",editType:\"plot\"}],editType:\"plot\"},editType:\"calc\"}},8389:function(t,e,r){\"use strict\";var n=r(50215),i=r(82196).line,a=r(79952).P,o=r(1426).extendFlat,s=r(30962).overrideAll,l=r(44467).templatedArray;r(24695),t.exports=s(l(\"selection\",{type:{valType:\"enumerated\",values:[\"rect\",\"path\"]},xref:o({},n.xref,{}),yref:o({},n.yref,{}),x0:{valType:\"any\"},x1:{valType:\"any\"},y0:{valType:\"any\"},y1:{valType:\"any\"},path:{valType:\"string\",editType:\"arraydraw\"},opacity:{valType:\"number\",min:0,max:1,dflt:.7,editType:\"arraydraw\"},line:{color:i.color,width:o({},i.width,{min:1,dflt:1}),dash:o({},a,{dflt:\"dot\"})}}),\"arraydraw\",\"from-root\")},34122:function(t){\"use strict\";t.exports={BENDPX:1.5,MINSELECT:12,SELECTDELAY:100,SELECTID:\"-select\"}},59402:function(t,e,r){\"use strict\";var n=r(71828),i=r(89298),a=r(85501),o=r(8389),s=r(30477);function l(t,e,r){function a(r,i){return n.coerce(t,e,o,r,i)}var l=a(\"path\"),u=\"path\"!==a(\"type\",l?\"path\":\"rect\");u&&delete e.path,a(\"opacity\"),a(\"line.color\"),a(\"line.width\"),a(\"line.dash\");for(var c=[\"x\",\"y\"],f=0;f<2;f++){var h,p,d,v=c[f],g={_fullLayout:r},y=i.coerceRef(t,e,g,v);if((h=i.getFromId(g,y))._selectionIndices.push(e._index),d=s.rangeToShapePosition(h),p=s.shapePositionToRange(h),u){var m=v+\"0\",x=v+\"1\",b=t[m],_=t[x];t[m]=p(t[m],!0),t[x]=p(t[x],!0),i.coercePosition(e,g,a,y,m),i.coercePosition(e,g,a,y,x);var w=e[m],T=e[x];void 0!==w&&void 0!==T&&(e[m]=d(w),e[x]=d(T),t[m]=b,t[x]=_)}}u&&n.noneOrAll(t,e,[\"x0\",\"x1\",\"y0\",\"y1\"])}t.exports=function(t,e){a(t,e,{name:\"selections\",handleItemDefaults:l});for(var r=e.selections,n=0;n<r.length;n++){var i=r[n];i&&void 0===i.path&&(void 0!==i.x0&&void 0!==i.x1&&void 0!==i.y0&&void 0!==i.y1||(e.selections[n]=null))}}},32485:function(t,e,r){\"use strict\";var n=r(60165).readPaths,i=r(42359),a=r(51873).clearOutlineControllers,o=r(7901),s=r(91424),l=r(44467).arrayEditor,u=r(30477),c=u.getPathString;function f(t){var e=t._fullLayout;for(var r in a(t),e._selectionLayer.selectAll(\"path\").remove(),e._plots){var n=e._plots[r].selectionLayer;n&&n.selectAll(\"path\").remove()}for(var i=0;i<e.selections.length;i++)p(t,i)}function h(t){return t._context.editSelection}function p(t,e){t._fullLayout._paperdiv.selectAll('.selectionlayer [data-index=\"'+e+'\"]').remove();var r=u.makeSelectionsOptionsAndPlotinfo(t,e),a=r.options,p=r.plotinfo;a._input&&function(r){var u=c(t,a),g={\"data-index\":e,\"fill-rule\":\"evenodd\",d:u},y=a.opacity,m=\"rgba(0,0,0,0)\",x=a.line.color||o.contrast(t._fullLayout.plot_bgcolor),b=a.line.width,_=a.line.dash;b||(b=5,_=\"solid\");var w=h(t)&&t._fullLayout._activeSelectionIndex===e;w&&(m=t._fullLayout.activeselection.fillcolor,y=t._fullLayout.activeselection.opacity);for(var T=[],k=1;k>=0;k--){var A=r.append(\"path\").attr(g).style(\"opacity\",k?.1:y).call(o.stroke,x).call(o.fill,m).call(s.dashLine,k?\"solid\":_,k?4+b:b);if(d(A,t,a),w){var M=l(t.layout,\"selections\",a);A.style({cursor:\"move\"});var S={element:A.node(),plotinfo:p,gd:t,editHelpers:M,isActiveSelection:!0},E=n(u,t);i(E,A,S)}else A.style(\"pointer-events\",k?\"all\":\"none\");T[k]=A}var L=T[0];T[1].node().addEventListener(\"click\",(function(){return function(t,e){if(h(t)){var r=+e.node().getAttribute(\"data-index\");if(r>=0){if(r===t._fullLayout._activeSelectionIndex)return void v(t);t._fullLayout._activeSelectionIndex=r,t._fullLayout._deactivateSelection=v,f(t)}}}(t,L)}))}(t._fullLayout._selectionLayer)}function d(t,e,r){var n=r.xref+r.yref;s.setClipUrl(t,\"clip\"+e._fullLayout._uid+n,e)}function v(t){h(t)&&t._fullLayout._activeSelectionIndex>=0&&(a(t),delete t._fullLayout._activeSelectionIndex,f(t))}t.exports={draw:f,drawOne:p,activateLastSelection:function(t){if(h(t)){var e=t._fullLayout.selections.length-1;t._fullLayout._activeSelectionIndex=e,t._fullLayout._deactivateSelection=v,f(t)}}}},53777:function(t,e,r){\"use strict\";var n=r(79952).P,i=r(1426).extendFlat;t.exports={newselection:{mode:{valType:\"enumerated\",values:[\"immediate\",\"gradual\"],dflt:\"immediate\",editType:\"none\"},line:{color:{valType:\"color\",editType:\"none\"},width:{valType:\"number\",min:1,dflt:1,editType:\"none\"},dash:i({},n,{dflt:\"dot\",editType:\"none\"}),editType:\"none\"},editType:\"none\"},activeselection:{fillcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"none\"},opacity:{valType:\"number\",min:0,max:1,dflt:.5,editType:\"none\"},editType:\"none\"}}},90849:function(t){\"use strict\";t.exports=function(t,e,r){r(\"newselection.mode\"),r(\"newselection.line.width\")&&(r(\"newselection.line.color\"),r(\"newselection.line.dash\")),r(\"activeselection.fillcolor\"),r(\"activeselection.opacity\")}},35855:function(t,e,r){\"use strict\";var n=r(64505).selectMode,i=r(51873).clearOutline,a=r(60165),o=a.readPaths,s=a.writePaths,l=a.fixDatesForPaths;t.exports=function(t,e){if(t.length){var r=t[0][0];if(r){var a=r.getAttribute(\"d\"),u=e.gd,c=u._fullLayout.newselection,f=e.plotinfo,h=f.xaxis,p=f.yaxis,d=e.isActiveSelection,v=e.dragmode,g=(u.layout||{}).selections||[];if(!n(v)&&void 0!==d){var y=u._fullLayout._activeSelectionIndex;if(y<g.length)switch(u._fullLayout.selections[y].type){case\"rect\":v=\"select\";break;case\"path\":v=\"lasso\"}}var m,x=o(a,u,f,d),b={xref:h._id,yref:p._id,opacity:c.opacity,line:{color:c.line.color,width:c.line.width,dash:c.line.dash}};1===x.length&&(m=x[0]),m&&5===m.length&&\"select\"===v?(b.type=\"rect\",b.x0=m[0][1],b.y0=m[0][2],b.x1=m[2][1],b.y1=m[2][2]):(b.type=\"path\",h&&p&&l(x,h,p),b.path=s(x),m=null),i(u);for(var _=e.editHelpers,w=(_||{}).modifyItem,T=[],k=0;k<g.length;k++){var A=u._fullLayout.selections[k];if(A){if(T[k]=A._input,void 0!==d&&k===u._fullLayout._activeSelectionIndex){var M=b;switch(A.type){case\"rect\":w(\"x0\",M.x0),w(\"x1\",M.x1),w(\"y0\",M.y0),w(\"y1\",M.y1);break;case\"path\":w(\"path\",M.path)}}}else T[k]=A}return void 0===d?(T.push(b),T):_?_.getUpdateObj():{}}}}},75549:function(t,e,r){\"use strict\";var n=r(71828).strTranslate;function i(t,e){switch(t.type){case\"log\":return t.p2d(e);case\"date\":return t.p2r(e,0,t.calendar);default:return t.p2r(e)}}t.exports={p2r:i,r2p:function(t,e){switch(t.type){case\"log\":return t.d2p(e);case\"date\":return t.r2p(e,0,t.calendar);default:return t.r2p(e)}},axValue:function(t){var e=\"y\"===t._id.charAt(0)?1:0;return function(r){return i(t,r[e])}},getTransform:function(t){return n(t.xaxis._offset,t.yaxis._offset)}}},47322:function(t,e,r){\"use strict\";var n=r(32485),i=r(3937);t.exports={moduleType:\"component\",name:\"selections\",layoutAttributes:r(8389),supplyLayoutDefaults:r(59402),supplyDrawNewSelectionDefaults:r(90849),includeBasePlot:r(76325)(\"selections\"),draw:n.draw,drawOne:n.drawOne,reselect:i.reselect,prepSelect:i.prepSelect,clearOutline:i.clearOutline,clearSelectionsCache:i.clearSelectionsCache,selectOnClick:i.selectOnClick}},3937:function(t,e,r){\"use strict\";var n=r(52142),i=r(38258),a=r(73972),o=r(91424).dashStyle,s=r(7901),l=r(30211),u=r(23469).makeEventData,c=r(64505),f=c.freeMode,h=c.rectMode,p=c.drawMode,d=c.openMode,v=c.selectMode,g=r(30477),y=r(21459),m=r(42359),x=r(51873).clearOutline,b=r(60165),_=b.handleEllipse,w=b.readPaths,T=r(90551).newShapes,k=r(35855),A=r(32485).activateLastSelection,M=r(71828),S=M.sorterAsc,E=r(61082),L=r(79990),C=r(41675).getFromId,P=r(33306),O=r(61549).redrawReglTraces,I=r(34122),D=I.MINSELECT,z=E.filter,R=E.tester,F=r(75549),B=F.p2r,N=F.axValue,j=F.getTransform;function U(t){return void 0!==t.subplot}function V(t,e,r,n,i,a,o){var s,l,u,c,f,h,p,v,g,y=e._hoverdata,x=e._fullLayout.clickmode.indexOf(\"event\")>-1,b=[];if(function(t){return t&&Array.isArray(t)&&!0!==t[0].hoverOnBox}(y)){Z(t,e,a);var _=function(t,e){var r,n,i=t[0],a=-1,o=[];for(n=0;n<e.length;n++)if(r=e[n],i.fullData._expandedIndex===r.cd[0].trace._expandedIndex){if(!0===i.hoverOnBox)break;void 0!==i.pointNumber?a=i.pointNumber:void 0!==i.binNumber&&(a=i.binNumber,o=i.pointNumbers);break}return{pointNumber:a,pointNumbers:o,searchInfo:r}}(y,s=X(e,r,n,i));if(_.pointNumbers.length>0?function(t,e){var r,n,i,a=[];for(i=0;i<t.length;i++)(r=t[i]).cd[0].trace.selectedpoints&&r.cd[0].trace.selectedpoints.length>0&&a.push(r);if(1===a.length&&a[0]===e.searchInfo&&(n=e.searchInfo.cd[0].trace).selectedpoints.length===e.pointNumbers.length){for(i=0;i<e.pointNumbers.length;i++)if(n.selectedpoints.indexOf(e.pointNumbers[i])<0)return!1;return!0}return!1}(s,_):function(t){var e,r,n=0;for(r=0;r<t.length;r++)if((e=t[r].cd[0].trace).selectedpoints){if(e.selectedpoints.length>1)return!1;if((n+=e.selectedpoints.length)>1)return!1}return 1===n}(s)&&(h=K(_))){for(o&&o.remove(),g=0;g<s.length;g++)(l=s[g])._module.selectPoints(l,!1);$(e,s),Y(a),x&&ht(e)}else{for(p=t.shiftKey&&(void 0!==h?h:K(_)),u=function(t,e,r){return{pointNumber:t,searchInfo:e,subtract:!!r}}(_.pointNumber,_.searchInfo,p),c=G(a.selectionDefs.concat([u])),g=0;g<s.length;g++)if(f=tt(s[g]._module.selectPoints(s[g],c),s[g]),b.length)for(var w=0;w<f.length;w++)b.push(f[w]);else b=f;if($(e,s,v={points:b}),u&&a&&a.selectionDefs.push(u),o){var T=a.mergedPolygons,k=d(a.dragmode);m(et(T,k),o,a)}x&&ft(e,v)}}}function H(t){return\"pointNumber\"in t&&\"searchInfo\"in t}function q(t){return{xmin:0,xmax:0,ymin:0,ymax:0,pts:[],contains:function(e,r,n,i){var a=t.searchInfo.cd[0].trace._expandedIndex;return i.cd[0].trace._expandedIndex===a&&n===t.pointNumber},isRect:!1,degenerate:!1,subtract:!!t.subtract}}function G(t){if(t.length){for(var e=[],r=H(t[0])?0:t[0][0][0],n=r,i=H(t[0])?0:t[0][0][1],a=i,o=0;o<t.length;o++)if(H(t[o]))e.push(q(t[o]));else{var s=R(t[o]);s.subtract=!!t[o].subtract,e.push(s),r=Math.min(r,s.xmin),n=Math.max(n,s.xmax),i=Math.min(i,s.ymin),a=Math.max(a,s.ymax)}return{xmin:r,xmax:n,ymin:i,ymax:a,pts:[],contains:function(t,r,n,i){for(var a=!1,o=0;o<e.length;o++)e[o].contains(t,r,n,i)&&(a=!e[o].subtract);return a},isRect:!1,degenerate:!1}}}function Z(t,e,r){var n=e._fullLayout,i=r.plotinfo,a=r.dragmode,o=n._lastSelectedSubplot&&n._lastSelectedSubplot===i.id,s=(t.shiftKey||t.altKey)&&!(p(a)&&d(a));o&&s&&i.selection&&i.selection.selectionDefs&&!r.selectionDefs?(r.selectionDefs=i.selection.selectionDefs,r.mergedPolygons=i.selection.mergedPolygons):s&&i.selection||Y(r),o||(x(e),n._lastSelectedSubplot=i.id)}function Y(t,e){var r=t.dragmode,n=t.plotinfo,i=t.gd;(function(t){return t._fullLayout._activeShapeIndex>=0})(i)&&i._fullLayout._deactivateShape(i),function(t){return t._fullLayout._activeSelectionIndex>=0}(i)&&i._fullLayout._deactivateSelection(i);var o=i._fullLayout._zoomlayer,s=p(r),l=v(r);if(s||l){var u,c,f=o.selectAll(\".select-outline-\"+n.id);f&&i._fullLayout._outlining&&(s&&(u=T(f,t)),u&&a.call(\"_guiRelayout\",i,{shapes:u}),l&&!U(t)&&(c=k(f,t)),c&&(i._fullLayout._noEmitSelectedAtStart=!0,a.call(\"_guiRelayout\",i,{selections:c}).then((function(){e&&A(i)}))),i._fullLayout._outlining=!1)}n.selection={},n.selection.selectionDefs=t.selectionDefs=[],n.selection.mergedPolygons=t.mergedPolygons=[]}function W(t){return t._id}function X(t,e,r,n){if(!t.calcdata)return[];var i,a,o,s=[],l=e.map(W),u=r.map(W);for(o=0;o<t.calcdata.length;o++)if(!0===(a=(i=t.calcdata[o])[0].trace).visible&&a._module&&a._module.selectPoints)if(!U({subplot:n})||a.subplot!==n&&a.geo!==n)if(\"splom\"===a.type){if(a._xaxes[l[0]]&&a._yaxes[u[0]]){var c=J(a._module,i,e[0],r[0]);c.scene=t._fullLayout._splomScenes[a.uid],s.push(c)}}else if(\"sankey\"===a.type){var f=J(a._module,i,e[0],r[0]);s.push(f)}else{if(-1===l.indexOf(a.xaxis))continue;if(-1===u.indexOf(a.yaxis))continue;s.push(J(a._module,i,C(t,a.xaxis),C(t,a.yaxis)))}else s.push(J(a._module,i,e[0],r[0]));return s}function J(t,e,r,n){return{_module:t,cd:e,xaxis:r,yaxis:n}}function K(t){var e=t.searchInfo.cd[0].trace,r=t.pointNumber,n=t.pointNumbers,i=n.length>0?n[0]:r;return!!e.selectedpoints&&e.selectedpoints.indexOf(i)>-1}function $(t,e,r){var n,i;for(n=0;n<e.length;n++){var o=e[n].cd[0].trace._fullInput,s=t._fullLayout._tracePreGUI[o.uid]||{};void 0===s.selectedpoints&&(s.selectedpoints=o._input.selectedpoints||null)}if(r){var l=r.points||[];for(n=0;n<e.length;n++)(i=e[n].cd[0].trace)._input.selectedpoints=i._fullInput.selectedpoints=[],i._fullInput!==i&&(i.selectedpoints=[]);for(var u=0;u<l.length;u++){var c=l[u],f=c.data,h=c.fullData,p=c.pointIndex,d=c.pointIndices;d?([].push.apply(f.selectedpoints,d),i._fullInput!==i&&[].push.apply(h.selectedpoints,d)):(f.selectedpoints.push(p),i._fullInput!==i&&h.selectedpoints.push(p))}}else for(n=0;n<e.length;n++)delete(i=e[n].cd[0].trace).selectedpoints,delete i._input.selectedpoints,i._fullInput!==i&&delete i._fullInput.selectedpoints;!function(t,e){for(var r=!1,n=0;n<e.length;n++){var i=e[n],o=i.cd;a.traceIs(o[0].trace,\"regl\")&&(r=!0);var s=i._module,l=s.styleOnSelect||s.style;l&&(l(t,o,o[0].node3),o[0].nodeRangePlot3&&l(t,o,o[0].nodeRangePlot3))}r&&(P(t),O(t))}(t,e)}function Q(t,e,r){for(var i=(r?n.difference:n.union)({regions:t},{regions:[e]}).regions.reverse(),a=0;a<i.length;a++){var o=i[a];o.subtract=st(o,i.slice(0,a))}return i}function tt(t,e){if(Array.isArray(t))for(var r=e.cd,n=e.cd[0].trace,i=0;i<t.length;i++)t[i]=u(t[i],n,r);return t}function et(t,e){for(var r=[],n=0;n<t.length;n++){r[n]=[];for(var 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n=e[r][0].trace,i=t._fullLayout._splomScenes;if(i){var a=i[n.uid];a&&(a.selectBatch=[])}}}(t);for(var O={},I=0;I<P.length;I++){var D=P[I],z=D.indexOf(\"y\"),R=D.slice(0,z),F=D.slice(z),B=o&&s?r:void 0;if(B=at(f,R,F,B)){var N=n;if(!l){var j=C(t,R,\"x\"),U=C(t,F,\"y\");N=X(t,[j],[U],D);for(var V=0;V<N.length;V++){var H=N[V],q=H.cd[0],G=q.trace;if(\"scattergl\"===H._module.name&&!q.t.xpx){var Z=G.x,Y=G.y,W=G._length;q.t.xpx=[],q.t.ypx=[];for(var J=0;J<W;J++)q.t.xpx[J]=j.c2p(Z[J]),q.t.ypx[J]=U.c2p(Y[J])}\"splom\"===H._module.name&&(O[G.uid]||(O[G.uid]=!0))}}var K=rt(B,N);u=u.concat(K),c=c.concat(N)}}var Q={points:u};$(t,c,Q);var tt=h.clickmode.indexOf(\"event\")>-1&&e;if(!a&&e){var et=ot(t,!0);if(et.length){var nt=et[0].xref,pt=et[0].yref;if(nt&&pt){var dt=ut(et);ct([C(t,nt,\"x\"),C(t,pt,\"y\")])(Q,dt)}}t._fullLayout._noEmitSelectedAtStart?t._fullLayout._noEmitSelectedAtStart=!1:tt&&ft(t,Q),h._reselect=!1}if(!a&&h._deselect){var vt=h._deselect;(function(t,e,r){for(var n=0;n<r.length;n++){var i=r[n];if(i.xaxis&&i.xaxis._id===t&&i.yaxis&&i.yaxis._id===e)return!0}return!1})(o=vt.xref,s=vt.yref,c)||it(t,o,s,n),tt&&(Q.points.length?ft(t,Q):ht(t)),h._deselect=!1}return{eventData:Q,selectionTesters:r}}function it(t,e,r,n){n=X(t,[C(t,e,\"x\")],[C(t,r,\"y\")],e+r);for(var i=0;i<n.length;i++){var a=n[i];a._module.selectPoints(a,!1)}$(t,n)}function at(t,e,r,n){for(var i,a=0;a<t.length;a++){var o=t[a];e===o.xref&&r===o.yref&&(i?n=G(i=Q(i,o,!!o.subtract)):(i=[o],n=R(o)))}return n}function ot(t,e){for(var r=[],n=t._fullLayout,i=n.selections,a=i.length,o=0;o<a;o++)if(!e||o===n._activeSelectionIndex){var s=i[o];if(s){var l,u,c,f,h,p=s.xref,d=s.yref,v=C(t,p,\"x\"),m=C(t,d,\"y\");if(\"rect\"===s.type){h=[];var x=lt(v,s.x0),b=lt(v,s.x1),_=lt(m,s.y0),w=lt(m,s.y1);h=[[x,_],[x,w],[b,w],[b,_]],l=Math.min(x,b),u=Math.max(x,b),c=Math.min(_,w),f=Math.max(_,w),h.xmin=l,h.xmax=u,h.ymin=c,h.ymax=f,h.xref=p,h.yref=d,h.subtract=!1,h.isRect=!0,r.push(h)}else if(\"path\"===s.type)for(var T=s.path.split(\"Z\"),k=[],A=0;A<T.length;A++){var M=T[A];if(M){M+=\"Z\";var S=g.extractPathCoords(M,y.paramIsX,\"raw\"),E=g.extractPathCoords(M,y.paramIsY,\"raw\");l=1/0,u=-1/0,c=1/0,f=-1/0,h=[];for(var L=0;L<S.length;L++){var P=lt(v,S[L]),O=lt(m,E[L]);h.push([P,O]),l=Math.min(P,l),u=Math.max(P,u),c=Math.min(O,c),f=Math.max(O,f)}h.xmin=l,h.xmax=u,h.ymin=c,h.ymax=f,h.xref=p,h.yref=d,h.subtract=st(h,k),k.push(h),r.push(h)}}}}return r}function st(t,e){for(var r=!1,n=0;n<e.length;n++)for(var a=e[n],o=0;o<t.length;o++)if(i(t[o],a)){r=!r;break}return r}function lt(t,e){return\"date\"===t.type&&(e=e.replace(\"_\",\" \")),\"log\"===t.type?t.c2p(e):t.r2p(e,null,t.calendar)}function ut(t){for(var e=t.length,r=[],n=0;n<e;n++){var i=t[n];r=(r=r.concat(i)).concat([i[0]])}return(a=r).isRect=5===a.length&&a[0][0]===a[4][0]&&a[0][1]===a[4][1]&&a[0][0]===a[1][0]&&a[2][0]===a[3][0]&&a[0][1]===a[3][1]&&a[1][1]===a[2][1]||a[0][1]===a[1][1]&&a[2][1]===a[3][1]&&a[0][0]===a[3][0]&&a[1][0]===a[2][0],a.isRect&&(a.xmin=Math.min(a[0][0],a[2][0]),a.xmax=Math.max(a[0][0],a[2][0]),a.ymin=Math.min(a[0][1],a[2][1]),a.ymax=Math.max(a[0][1],a[2][1])),a;var a}function ct(t){return function(e,r){for(var n,i,a=0;a<t.length;a++){var o=t[a],s=o._id,l=s.charAt(0);if(r.isRect){n||(n={});var u=r[l+\"min\"],c=r[l+\"max\"];void 0!==u&&void 0!==c&&(n[s]=[B(o,u),B(o,c)].sort(S))}else i||(i={}),i[s]=r.map(N(o))}n&&(e.range=n),i&&(e.lassoPoints=i)}}function ft(t,e){e&&(e.selections=(t.layout||{}).selections||[]),t.emit(\"plotly_selected\",e)}function ht(t){t.emit(\"plotly_deselect\",null)}t.exports={reselect:nt,prepSelect:function(t,e,r,n,i){var u=!U(n),c=f(i),g=h(i),y=d(i),x=p(i),b=v(i),w=\"drawcircle\"===i,T=\"drawline\"===i||w,k=n.gd,A=k._fullLayout,S=b&&\"immediate\"===A.newselection.mode&&u,E=A._zoomlayer,C=n.element.getBoundingClientRect(),P=n.plotinfo,O=j(P),F=e-C.left,B=r-C.top;A._calcInverseTransform(k);var N=M.apply3DTransform(A._invTransform)(F,B);F=N[0],B=N[1];var H,q,W,J,K,tt,at,ot=A._invScaleX,st=A._invScaleY,lt=F,pt=B,dt=\"M\"+F+\",\"+B,vt=n.xaxes[0],gt=n.yaxes[0],yt=vt._length,mt=gt._length,xt=t.altKey&&!(p(i)&&y);Z(t,k,n),c&&(H=z([[F,B]],I.BENDPX));var bt=E.selectAll(\"path.select-outline-\"+P.id).data([1]),_t=x?A.newshape:A.newselection;x&&(n.hasText=_t.label.text||_t.label.texttemplate);var wt=x&&!y?_t.fillcolor:\"rgba(0,0,0,0)\",Tt=_t.line.color||(u?s.contrast(k._fullLayout.plot_bgcolor):\"#7f7f7f\");bt.enter().append(\"path\").attr(\"class\",\"select-outline 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v=\"pixel\"===h.xsizemode?h.xanchor:h.x0,g=\"pixel\"===h.xsizemode?h.xanchor:h.x1;(f=c(u=i.getFromId(t,h.xref),v,g,h.path,a.paramIsX))&&(h._extremes[u._id]=i.findExtremes(u,f,s(h)))}if(\"paper\"!==h.yref&&\"domain\"!==d){var y=\"pixel\"===h.ysizemode?h.yanchor:h.y0,m=\"pixel\"===h.ysizemode?h.yanchor:h.y1;(f=c(u=i.getFromId(t,h.yref),y,m,h.path,a.paramIsY))&&(h._extremes[u._id]=i.findExtremes(u,f,l(h)))}}}},21459:function(t){\"use strict\";t.exports={segmentRE:/[MLHVQCTSZ][^MLHVQCTSZ]*/g,paramRE:/[^\\s,]+/g,paramIsX:{M:{0:!0,drawn:0},L:{0:!0,drawn:0},H:{0:!0,drawn:0},V:{},Q:{0:!0,2:!0,drawn:2},C:{0:!0,2:!0,4:!0,drawn:4},T:{0:!0,drawn:0},S:{0:!0,2:!0,drawn:2},Z:{}},paramIsY:{M:{1:!0,drawn:1},L:{1:!0,drawn:1},H:{},V:{0:!0,drawn:0},Q:{1:!0,3:!0,drawn:3},C:{1:!0,3:!0,5:!0,drawn:5},T:{1:!0,drawn:1},S:{1:!0,3:!0,drawn:5},Z:{}},numParams:{M:2,L:2,H:1,V:1,Q:4,C:6,T:2,S:4,Z:0}}},84726:function(t,e,r){\"use strict\";var n=r(71828),i=r(89298),a=r(85501),o=r(89827),s=r(30477);function 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p=2*h*Math.PI/a;f.push([s+u*Math.cos(p),l+c*Math.sin(p)])}return f},e.ellipseOver=function(t){var e=t.x0,r=t.y0,n=t.x1,i=t.y1,a=n-e,s=i-r,l=((e-=a)+n)/2,u=((r-=s)+i)/2;return{x0:l-(a*=o),y0:u-(s*=o),x1:l+a,y1:u+s}},e.fixDatesForPaths=function(t,e,r){var n=\"date\"===e.type,i=\"date\"===r.type;if(!n&&!i)return t;for(var a=0;a<t.length;a++)for(var o=0;o<t[a].length;o++)for(var s=0;s+2<t[a][o].length;s+=2)n&&(t[a][o][s+1]=t[a][o][s+1].replace(\" \",\"_\")),i&&(t[a][o][s+2]=t[a][o][s+2].replace(\" \",\"_\"));return t}},90551:function(t,e,r){\"use strict\";var n=r(64505),i=n.drawMode,a=n.openMode,o=r(89995),s=o.i000,l=o.i090,u=o.i180,c=o.i270,f=o.cos45,h=o.sin45,p=r(75549),d=p.p2r,v=p.r2p,g=r(51873).clearOutline,y=r(60165),m=y.readPaths,x=y.writePaths,b=y.ellipseOver,_=y.fixDatesForPaths;function w(t,e,r){var n,i=t[0][0],o=e.gd,p=i.getAttribute(\"d\"),g=o._fullLayout.newshape,y=e.plotinfo,w=e.isActiveShape,T=y.xaxis,k=y.yaxis,A=!!y.domain||!y.xaxis,M=!!y.domain||!y.yaxis,S=a(r),E=m(p,o,y,w),L={editable:!0,visible:g.visible,name:g.name,showlegend:g.showlegend,legend:g.legend,legendwidth:g.legendwidth,legendgroup:g.legendgroup,legendgrouptitle:{text:g.legendgrouptitle.text,font:g.legendgrouptitle.font},legendrank:g.legendrank,label:g.label,xref:A?\"paper\":T._id,yref:M?\"paper\":k._id,layer:g.layer,opacity:g.opacity,line:{color:g.line.color,width:g.line.width,dash:g.line.dash}};if(S||(L.fillcolor=g.fillcolor,L.fillrule=g.fillrule),1===E.length&&(n=E[0]),n&&5===n.length&&\"drawrect\"===r)L.type=\"rect\",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[2][1],L.y1=n[2][2];else if(n&&\"drawline\"===r)L.type=\"line\",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[1][1],L.y1=n[1][2];else if(n&&\"drawcircle\"===r){L.type=\"circle\";var C=n[s][1],P=n[l][1],O=n[u][1],I=n[c][1],D=n[s][2],z=n[l][2],R=n[u][2],F=n[c][2],B=y.xaxis&&(\"date\"===y.xaxis.type||\"log\"===y.xaxis.type),N=y.yaxis&&(\"date\"===y.yaxis.type||\"log\"===y.yaxis.type);B&&(C=v(y.xaxis,C),P=v(y.xaxis,P),O=v(y.xaxis,O),I=v(y.xaxis,I)),N&&(D=v(y.yaxis,D),z=v(y.yaxis,z),R=v(y.yaxis,R),F=v(y.yaxis,F));var j=(P+I)/2,U=(D+R)/2,V=b({x0:j,y0:U,x1:j+(I-P+O-C)/2*f,y1:U+(F-z+R-D)/2*h});B&&(V.x0=d(y.xaxis,V.x0),V.x1=d(y.xaxis,V.x1)),N&&(V.y0=d(y.yaxis,V.y0),V.y1=d(y.yaxis,V.y1)),L.x0=V.x0,L.y0=V.y0,L.x1=V.x1,L.y1=V.y1}else L.type=\"path\",T&&k&&_(E,T,k),L.path=x(E),n=null;return L}t.exports={newShapes:function(t,e){if(t.length&&t[0][0]){var r=e.gd,n=e.isActiveShape,a=e.dragmode,o=(r.layout||{}).shapes||[];if(!i(a)&&void 0!==n){var s=r._fullLayout._activeShapeIndex;if(s<o.length)switch(r._fullLayout.shapes[s].type){case\"rect\":a=\"drawrect\";break;case\"circle\":a=\"drawcircle\";break;case\"line\":a=\"drawline\";break;case\"path\":var l=o[s].path||\"\";a=\"Z\"===l[l.length-1]?\"drawclosedpath\":\"drawopenpath\"}}var u=w(t,e,a);g(r);for(var c=e.editHelpers,f=(c||{}).modifyItem,h=[],p=0;p<o.length;p++){var d=r._fullLayout.shapes[p];if(h[p]=d._input,void 0!==n&&p===r._fullLayout._activeShapeIndex){var v=u;switch(d.type){case\"line\":case\"rect\":case\"circle\":f(\"x0\",v.x0),f(\"x1\",v.x1),f(\"y0\",v.y0),f(\"y1\",v.y1);break;case\"path\":f(\"path\",v.path)}}}return void 0===n?(h.push(u),h):c?c.getUpdateObj():{}}},createShapeObj:w}},51873:function(t){\"use strict\";t.exports={clearOutlineControllers:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".outline-controllers\").remove()},clearOutline:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".select-outline\").remove(),t._fullLayout._outlining=!1}}},30477:function(t,e,r){\"use strict\";var n=r(21459),i=r(71828),a=r(89298);e.rangeToShapePosition=function(t){return\"log\"===t.type?t.r2d:function(t){return t}},e.shapePositionToRange=function(t){return\"log\"===t.type?t.d2r:function(t){return t}},e.decodeDate=function(t){return function(e){return e.replace&&(e=e.replace(\"_\",\" \")),t(e)}},e.encodeDate=function(t){return function(e){return t(e).replace(\" \",\"_\")}},e.extractPathCoords=function(t,e,r){var a=[];return t.match(n.segmentRE).forEach((function(t){var o=e[t.charAt(0)].drawn;if(void 0!==o){var s=t.substr(1).match(n.paramRE);if(s&&!(s.length<o)){var l=s[o],u=r?l:i.cleanNumber(l);a.push(u)}}})),a},e.getDataToPixel=function(t,r,n,i){var a,o=t._fullLayout._size;if(r)if(\"domain\"===i)a=function(t){return r._length*(n?1-t:t)+r._offset};else{var s=e.shapePositionToRange(r);a=function(t){return r._offset+r.r2p(s(t,!0))},\"date\"===r.type&&(a=e.decodeDate(a))}else a=n?function(t){return o.t+o.h*(1-t)}:function(t){return o.l+o.w*t};return a},e.getPixelToData=function(t,r,n,i){var a,o=t._fullLayout._size;if(r)if(\"domain\"===i)a=function(t){var e=(t-r._offset)/r._length;return n?1-e:e};else{var s=e.rangeToShapePosition(r);a=function(t){return s(r.p2r(t-r._offset))}}else a=n?function(t){return 1-(t-o.t)/o.h}:function(t){return(t-o.l)/o.w};return a},e.roundPositionForSharpStrokeRendering=function(t,e){var r=1===Math.round(e%2),n=Math.round(t);return r?n+.5:n},e.makeShapesOptionsAndPlotinfo=function(t,e){var r=t._fullLayout.shapes[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return n?n._hadPlotinfo=!0:(n={},r.xref&&\"paper\"!==r.xref&&(n.xaxis=t._fullLayout[r.xref+\"axis\"]),r.yref&&\"paper\"!==r.yref&&(n.yaxis=t._fullLayout[r.yref+\"axis\"])),n.xsizemode=r.xsizemode,n.ysizemode=r.ysizemode,n.xanchor=r.xanchor,n.yanchor=r.yanchor,{options:r,plotinfo:n}},e.makeSelectionsOptionsAndPlotinfo=function(t,e){var r=t._fullLayout.selections[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return n?n._hadPlotinfo=!0:(n={},r.xref&&(n.xaxis=t._fullLayout[r.xref+\"axis\"]),r.yref&&(n.yaxis=t._fullLayout[r.yref+\"axis\"])),{options:r,plotinfo:n}},e.getPathString=function(t,r){var o,s,l,u,c,f,h,p,d=r.type,v=a.getRefType(r.xref),g=a.getRefType(r.yref),y=a.getFromId(t,r.xref),m=a.getFromId(t,r.yref),x=t._fullLayout._size;if(y?\"domain\"===v?s=function(t){return y._offset+y._length*t}:(o=e.shapePositionToRange(y),s=function(t){return y._offset+y.r2p(o(t,!0))}):s=function(t){return x.l+x.w*t},m?\"domain\"===g?u=function(t){return m._offset+m._length*(1-t)}:(l=e.shapePositionToRange(m),u=function(t){return m._offset+m.r2p(l(t,!0))}):u=function(t){return x.t+x.h*(1-t)},\"path\"===d)return y&&\"date\"===y.type&&(s=e.decodeDate(s)),m&&\"date\"===m.type&&(u=e.decodeDate(u)),function(t,e,r){var a=t.path,o=t.xsizemode,s=t.ysizemode,l=t.xanchor,u=t.yanchor;return a.replace(n.segmentRE,(function(t){var a=0,c=t.charAt(0),f=n.paramIsX[c],h=n.paramIsY[c],p=n.numParams[c],d=t.substr(1).replace(n.paramRE,(function(t){return f[a]?t=\"pixel\"===o?e(l)+Number(t):e(t):h[a]&&(t=\"pixel\"===s?r(u)-Number(t):r(t)),++a>p&&(t=\"X\"),t}));return a>p&&(d=d.replace(/[\\s,]*X.*/,\"\"),i.log(\"Ignoring extra params in segment \"+t)),c+d}))}(r,s,u);if(\"pixel\"===r.xsizemode){var b=s(r.xanchor);c=b+r.x0,f=b+r.x1}else c=s(r.x0),f=s(r.x1);if(\"pixel\"===r.ysizemode){var _=u(r.yanchor);h=_-r.y0,p=_-r.y1}else h=u(r.y0),p=u(r.y1);if(\"line\"===d)return\"M\"+c+\",\"+h+\"L\"+f+\",\"+p;if(\"rect\"===d)return\"M\"+c+\",\"+h+\"H\"+f+\"V\"+p+\"H\"+c+\"Z\";var w=(c+f)/2,T=(h+p)/2,k=Math.abs(w-c),A=Math.abs(T-h),M=\"A\"+k+\",\"+A,S=w+k+\",\"+T;return\"M\"+S+M+\" 0 1,1 \"+w+\",\"+(T-A)+M+\" 0 0,1 \"+S+\"Z\"}},89853:function(t,e,r){\"use strict\";var n=r(34031);t.exports={moduleType:\"component\",name:\"shapes\",layoutAttributes:r(89827),supplyLayoutDefaults:r(84726),supplyDrawNewShapeDefaults:r(45547),includeBasePlot:r(76325)(\"shapes\"),calcAutorange:r(5627),draw:n.draw,drawOne:n.drawOne}},37281:function(t){\"use strict\";function e(t,e){return e?e.d2l(t):t}function r(t,e){return e?e.l2d(t):t}function n(t,r){return e(t.x1,r)-e(t.x0,r)}function i(t,r,n){return e(t.y1,n)-e(t.y0,n)}t.exports={x0:function(t){return t.x0},x1:function(t){return t.x1},y0:function(t){return t.y0},y1:function(t){return t.y1},slope:function(t,e,r){return\"line\"!==t.type?void 0:i(t,0,r)/n(t,e)},dx:n,dy:i,width:function(t,e){return Math.abs(n(t,e))},height:function(t,e,r){return Math.abs(i(t,0,r))},length:function(t,e,r){return\"line\"!==t.type?void 0:Math.sqrt(Math.pow(n(t,e),2)+Math.pow(i(t,0,r),2))},xcenter:function(t,n){return r((e(t.x1,n)+e(t.x0,n))/2,n)},ycenter:function(t,n,i){return r((e(t.y1,i)+e(t.y0,i))/2,i)}}},75067:function(t,e,r){\"use 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n=r(41940),i=r(35025),a=r(1426).extendDeepAll,o=r(30962).overrideAll,s=r(85594),l=r(44467).templatedArray,u=r(98292),c=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}});t.exports=o(l(\"slider\",{visible:{valType:\"boolean\",dflt:!0},active:{valType:\"number\",min:0,dflt:0},steps:c,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:u.gripBgActiveColor},bgcolor:{valType:\"color\",dflt:u.railBgColor},bordercolor:{valType:\"color\",dflt:u.railBorderColor},borderwidth:{valType:\"number\",min:0,dflt:u.railBorderWidth},ticklen:{valType:\"number\",min:0,dflt:u.tickLength},tickcolor:{valType:\"color\",dflt:u.tickColor},tickwidth:{valType:\"number\",min:0,dflt:1},minorticklen:{valType:\"number\",min:0,dflt:u.minorTickLength}}),\"arraydraw\",\"from-root\")},98292:function(t){\"use 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n.coerce(t,e,s,r,i)}if(\"skip\"===t.method||Array.isArray(t.args)?r(\"visible\"):e.visible=!1){r(\"method\"),r(\"args\");var i=r(\"label\",\"step-\"+e._index);r(\"value\",i),r(\"execute\")}}t.exports=function(t,e){i(t,e,{name:o,handleItemDefaults:l})}},44504:function(t,e,r){\"use strict\";var n=r(39898),i=r(74875),a=r(7901),o=r(91424),s=r(71828),l=s.strTranslate,u=r(63893),c=r(44467).arrayEditor,f=r(98292),h=r(18783),p=h.LINE_SPACING,d=h.FROM_TL,v=h.FROM_BR;function g(t){return f.autoMarginIdRoot+t._index}function y(t){return t._index}function m(t,e){var r=o.tester.selectAll(\"g.\"+f.labelGroupClass).data(e._visibleSteps);r.enter().append(\"g\").classed(f.labelGroupClass,!0);var a=0,l=0;r.each((function(t){var r=_(n.select(this),{step:t},e).node();if(r){var i=o.bBox(r);l=Math.max(l,i.height),a=Math.max(a,i.width)}})),r.remove();var c=e._dims={};c.inputAreaWidth=Math.max(f.railWidth,f.gripHeight);var h=t._fullLayout._size;c.lx=h.l+h.w*e.x,c.ly=h.t+h.h*(1-e.y),\"fraction\"===e.lenmode?c.outerLength=Math.round(h.w*e.len):c.outerLength=e.len,c.inputAreaStart=0,c.inputAreaLength=Math.round(c.outerLength-e.pad.l-e.pad.r);var p=(c.inputAreaLength-2*f.stepInset)/(e._stepCount-1),y=a+f.labelPadding;if(c.labelStride=Math.max(1,Math.ceil(y/p)),c.labelHeight=l,c.currentValueMaxWidth=0,c.currentValueHeight=0,c.currentValueTotalHeight=0,c.currentValueMaxLines=1,e.currentvalue.visible){var m=o.tester.append(\"g\");r.each((function(t){var r=x(m,e,t.label),n=r.node()&&o.bBox(r.node())||{width:0,height:0},i=u.lineCount(r);c.currentValueMaxWidth=Math.max(c.currentValueMaxWidth,Math.ceil(n.width)),c.currentValueHeight=Math.max(c.currentValueHeight,Math.ceil(n.height)),c.currentValueMaxLines=Math.max(c.currentValueMaxLines,i)})),c.currentValueTotalHeight=c.currentValueHeight+e.currentvalue.offset,m.remove()}c.height=c.currentValueTotalHeight+f.tickOffset+e.ticklen+f.labelOffset+c.labelHeight+e.pad.t+e.pad.b;var b=\"left\";s.isRightAnchor(e)&&(c.lx-=c.outerLength,b=\"right\"),s.isCenterAnchor(e)&&(c.lx-=c.outerLength/2,b=\"center\");var w=\"top\";s.isBottomAnchor(e)&&(c.ly-=c.height,w=\"bottom\"),s.isMiddleAnchor(e)&&(c.ly-=c.height/2,w=\"middle\"),c.outerLength=Math.ceil(c.outerLength),c.height=Math.ceil(c.height),c.lx=Math.round(c.lx),c.ly=Math.round(c.ly);var T={y:e.y,b:c.height*v[w],t:c.height*d[w]};\"fraction\"===e.lenmode?(T.l=0,T.xl=e.x-e.len*d[b],T.r=0,T.xr=e.x+e.len*v[b]):(T.x=e.x,T.l=c.outerLength*d[b],T.r=c.outerLength*v[b]),i.autoMargin(t,g(e),T)}function x(t,e,r){if(e.currentvalue.visible){var n,i,a=e._dims;switch(e.currentvalue.xanchor){case\"right\":n=a.inputAreaLength-f.currentValueInset-a.currentValueMaxWidth,i=\"left\";break;case\"center\":n=.5*a.inputAreaLength,i=\"middle\";break;default:n=f.currentValueInset,i=\"left\"}var l=s.ensureSingle(t,\"text\",f.labelClass,(function(t){t.attr({\"text-anchor\":i,\"data-notex\":1})})),c=e.currentvalue.prefix?e.currentvalue.prefix:\"\";if(\"string\"==typeof r)c+=r;else{var h=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(h=s.templateString(h,d)),c+=h}e.currentvalue.suffix&&(c+=e.currentvalue.suffix),l.call(o.font,e.currentvalue.font).text(c).call(u.convertToTspans,e._gd);var v=u.lineCount(l),g=(a.currentValueMaxLines+1-v)*e.currentvalue.font.size*p;return 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a=Math.round(n*(r._stepCount-1)),o=r._visibleSteps[a]._index;o!==r.active&&k(t,e,r,o,!0,i)}function k(t,e,r,n,a,o){var s=r.active;r.active=n,c(t.layout,f.name,r).applyUpdate(\"active\",n);var l=r.steps[r.active];e.call(S,r,o),e.call(x,r),t.emit(\"plotly_sliderchange\",{slider:r,step:r.steps[r.active],interaction:a,previousActive:s}),l&&l.method&&a&&(e._nextMethod?(e._nextMethod.step=l,e._nextMethod.doCallback=a,e._nextMethod.doTransition=o):(e._nextMethod={step:l,doCallback:a,doTransition:o},e._nextMethodRaf=window.requestAnimationFrame((function(){var r=e._nextMethod.step;r.method&&(r.execute&&i.executeAPICommand(t,r.method,r.args),e._nextMethod=null,e._nextMethodRaf=null)}))))}function A(t,e,r){if(!e._context.staticPlot){var i=r.node(),o=n.select(e);t.on(\"mousedown\",l),t.on(\"touchstart\",l)}function s(){return r.data()[0]}function l(){var t=s();e.emit(\"plotly_sliderstart\",{slider:t});var l=r.select(\".\"+f.gripRectClass);n.event.stopPropagation(),n.event.preventDefault(),l.call(a.fill,t.activebgcolor);var u=L(t,n.mouse(i)[0]);function c(){var t=s(),a=L(t,n.mouse(i)[0]);T(e,r,t,a,!1)}function h(){var t=s();t._dragging=!1,l.call(a.fill,t.bgcolor),o.on(\"mouseup\",null),o.on(\"mousemove\",null),o.on(\"touchend\",null),o.on(\"touchmove\",null),e.emit(\"plotly_sliderend\",{slider:t,step:t.steps[t.active]})}T(e,r,t,u,!0),t._dragging=!0,o.on(\"mousemove\",c),o.on(\"touchmove\",c),o.on(\"mouseup\",h),o.on(\"touchend\",h)}}function M(t,e){var r=t.selectAll(\"rect.\"+f.tickRectClass).data(e._visibleSteps),i=e._dims;r.enter().append(\"rect\").classed(f.tickRectClass,!0),r.exit().remove(),r.attr({width:e.tickwidth+\"px\",\"shape-rendering\":\"crispEdges\"}),r.each((function(t,r){var s=r%i.labelStride==0,l=n.select(this);l.attr({height:s?e.ticklen:e.minorticklen}).call(a.fill,e.tickcolor),o.setTranslate(l,E(e,r/(e._stepCount-1))-.5*e.tickwidth,(s?f.tickOffset:f.minorTickOffset)+i.currentValueTotalHeight)}))}function S(t,e,r){for(var n=t.select(\"rect.\"+f.gripRectClass),i=0,a=0;a<e._stepCount;a++)if(e._visibleSteps[a]._index===e.active){i=a;break}var o=E(e,i/(e._stepCount-1));if(!e._invokingCommand){var s=n;r&&e.transition.duration>0&&(s=s.transition().duration(e.transition.duration).ease(e.transition.easing)),s.attr(\"transform\",l(o-.5*f.gripWidth,e._dims.currentValueTotalHeight))}}function E(t,e){var r=t._dims;return r.inputAreaStart+f.stepInset+(r.inputAreaLength-2*f.stepInset)*Math.min(1,Math.max(0,e))}function L(t,e){var r=t._dims;return Math.min(1,Math.max(0,(e-f.stepInset-r.inputAreaStart)/(r.inputAreaLength-2*f.stepInset-2*r.inputAreaStart)))}function C(t,e,r){var 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s(t,e,r){this.gd=t,this.container=e,this.id=r,this.position=null,this.translateX=null,this.translateY=null,this.hbar=null,this.vbar=null,this.bg=this.container.selectAll(\"rect.scrollbox-bg\").data([0]),this.bg.exit().on(\".drag\",null).on(\"wheel\",null).remove(),this.bg.enter().append(\"rect\").classed(\"scrollbox-bg\",!0).style(\"pointer-events\",\"all\").attr({opacity:0,x:0,y:0,width:0,height:0})}s.barWidth=2,s.barLength=20,s.barRadius=2,s.barPad=1,s.barColor=\"#808BA4\",s.prototype.enable=function(t,e,r){var o=this.gd._fullLayout,l=o.width,u=o.height;this.position=t;var c,f,h,p,d=this.position.l,v=this.position.w,g=this.position.t,y=this.position.h,m=this.position.direction,x=\"down\"===m,b=\"left\"===m,_=\"up\"===m,w=v,T=y;x||b||\"right\"===m||_||(this.position.direction=\"down\",x=!0),x||_?(f=(c=d)+w,x?(h=g,T=(p=Math.min(h+T,u))-h):T=(p=g+T)-(h=Math.max(p-T,0))):(p=(h=g)+T,b?w=(f=d+w)-(c=Math.max(f-w,0)):(c=d,w=(f=Math.min(c+w,l))-c)),this._box={l:c,t:h,w:w,h:T};var k=v>w,A=s.barLength+2*s.barPad,M=s.barWidth+2*s.barPad,S=d,E=g+y;E+M>u&&(E=u-M);var L=this.container.selectAll(\"rect.scrollbar-horizontal\").data(k?[0]:[]);L.exit().on(\".drag\",null).remove(),L.enter().append(\"rect\").classed(\"scrollbar-horizontal\",!0).call(i.fill,s.barColor),k?(this.hbar=L.attr({rx:s.barRadius,ry:s.barRadius,x:S,y:E,width:A,height:M}),this._hbarXMin=S+A/2,this._hbarTranslateMax=w-A):(delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax);var C=y>T,P=s.barWidth+2*s.barPad,O=s.barLength+2*s.barPad,I=d+v,D=g;I+P>l&&(I=l-P);var z=this.container.selectAll(\"rect.scrollbar-vertical\").data(C?[0]:[]);z.exit().on(\".drag\",null).remove(),z.enter().append(\"rect\").classed(\"scrollbar-vertical\",!0).call(i.fill,s.barColor),C?(this.vbar=z.attr({rx:s.barRadius,ry:s.barRadius,x:I,y:D,width:P,height:O}),this._vbarYMin=D+O/2,this._vbarTranslateMax=T-O):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var R=this.id,F=c-.5,B=C?f+P+.5:f+.5,N=h-.5,j=k?p+M+.5:p+.5,U=o._topdefs.selectAll(\"#\"+R).data(k||C?[0]:[]);if(U.exit().remove(),U.enter().append(\"clipPath\").attr(\"id\",R).append(\"rect\"),k||C?(this._clipRect=U.select(\"rect\").attr({x:Math.floor(F),y:Math.floor(N),width:Math.ceil(B)-Math.floor(F),height:Math.ceil(j)-Math.floor(N)}),this.container.call(a.setClipUrl,R,this.gd),this.bg.attr({x:d,y:g,width:v,height:y})):(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(a.setClipUrl,null),delete this._clipRect),k||C){var V=n.behavior.drag().on(\"dragstart\",(function(){n.event.sourceEvent.preventDefault()})).on(\"drag\",this._onBoxDrag.bind(this));this.container.on(\"wheel\",null).on(\"wheel\",this._onBoxWheel.bind(this)).on(\".drag\",null).call(V);var H=n.behavior.drag().on(\"dragstart\",(function(){n.event.sourceEvent.preventDefault(),n.event.sourceEvent.stopPropagation()})).on(\"drag\",this._onBarDrag.bind(this));k&&this.hbar.on(\".drag\",null).call(H),C&&this.vbar.on(\".drag\",null).call(H)}this.setTranslate(e,r)},s.prototype.disable=function(){(this.hbar||this.vbar)&&(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(a.setClipUrl,null),delete this._clipRect),this.hbar&&(this.hbar.on(\".drag\",null),this.hbar.remove(),delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax),this.vbar&&(this.vbar.on(\".drag\",null),this.vbar.remove(),delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax)},s.prototype._onBoxDrag=function(){var t=this.translateX,e=this.translateY;this.hbar&&(t-=n.event.dx),this.vbar&&(e-=n.event.dy),this.setTranslate(t,e)},s.prototype._onBoxWheel=function(){var 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z=!D;D?(t._dtickInit=t.dtick,t._tick0Init=t.tick0):(t.minor._dtickInit=t.minor.dtick,t.minor._tick0Init=t.minor.tick0);var R=D?t:s.extendFlat({},t,t.minor);if(z?q.prepMinorTicks(R,t,e):q.prepTicks(R,e),\"array\"!==R.tickmode)if(\"sync\"!==R.tickmode){var F=K(c),B=F[0],N=F[1],j=i(R.dtick),U=\"log\"===a&&!(j||\"L\"===R.dtick.charAt(0)),V=q.tickFirst(R,e);if(D){if(t._tmin=V,V<B!==f)break;\"category\"!==a&&\"multicategory\"!==a||(N=f?Math.max(-.5,N):Math.min(t._categories.length-.5,N))}var H,G,Z=null,Y=V;D&&(j?G=t.dtick:\"date\"===a?\"string\"==typeof t.dtick&&\"M\"===t.dtick.charAt(0)&&(G=T*t.dtick.substring(1)):G=t._roughDTick,H=Math.round((t.r2l(Y)-t.r2l(t.tick0))/G)-1);var W=R.dtick;for(R.rangebreaks&&R._tick0Init!==R.tick0&&(Y=zt(Y,t),f||(Y=q.tickIncrement(Y,W,!f,o))),D&&u&&(Y=q.tickIncrement(Y,W,!f,o),H--);f?Y>=N:Y<=N;Y=q.tickIncrement(Y,W,f,o)){if(D&&H++,R.rangebreaks&&!f){if(Y<B)continue;if(R.maskBreaks(Y)===O&&zt(Y,R)>=p)break}if(C.length>d||Y===Z)break;Z=Y;var X={value:Y};D?(U&&Y!==(0|Y)&&(X.simpleLabel=!0),l>1&&H%l&&(X.skipLabel=!0),C.push(X)):(X.minor=!0,P.push(X))}}else C=[],v=at(t);else D?(C=[],v=ot(t)):(P=[],L=ot(t))}if(I&&!(\"inside\"===t.minor.ticks&&\"outside\"===t.ticks||\"outside\"===t.minor.ticks&&\"inside\"===t.ticks)){for(var J=C.map((function(t){return t.value})),$=[],Q=0;Q<P.length;Q++){var tt=P[Q],et=tt.value;if(-1===J.indexOf(et)){for(var rt=!1,nt=0;!rt&&nt<C.length;nt++)1e7+C[nt].value===1e7+et&&(rt=!0);rt||$.push(tt)}}P=$}if(u&&function(t,e,r){for(var n=0;n<t.length;n++){var i=t[n].value,a=n,o=n+1;n<t.length-1?(a=n,o=n+1):n>0?(a=n-1,o=n):(a=n,o=n);var s,l=t[a].value,u=t[o].value,c=Math.abs(u-l),f=r||c,h=0;f>=m?h=c>=m&&c<=g?c:y:r===b&&f>=_?h=c>=_&&c<=x?c:b:f>=k?h=c>=k&&c<=w?c:T:r===A&&f>=A?h=A:f>=M?h=M:r===S&&f>=S?h=S:r===E&&f>=E&&(h=E),h>=c&&(h=c,s=!0);var p=i+h;if(e.rangebreaks&&h>0){for(var d=0,v=0;v<84;v++){var L=(v+.5)/84;e.maskBreaks(i*(1-L)+L*p)!==O&&d++}(h*=d/84)||(t[n].drop=!0),s&&c>A&&(h=c)}(h>0||0===n)&&(t[n].periodX=i+h/2)}}(C,t,t._definedDelta),t.rangebreaks){var it=\"y\"===t._id.charAt(0),st=1;\"auto\"===t.tickmode&&(st=t.tickfont?t.tickfont.size:12);var lt=NaN;for(r=C.length-1;r>-1;r--)if(C[r].drop)C.splice(r,1);else{C[r].value=zt(C[r].value,t);var ut=t.c2p(C[r].value);(it?lt>ut-st:lt<ut+st)?C.splice(f?r+1:r,1):lt=ut}}Dt(t)&&360===Math.abs(c[1]-c[0])&&C.pop(),t._tmax=(C[C.length-1]||{}).value,t._prevDateHead=\"\",t._inCalcTicks=!0;var ct,ft,ht=function(e){e.text=\"\",t._prevDateHead=n};for(C=C.concat(P),r=0;r<C.length;r++){var pt=C[r].minor,dt=C[r].value;pt?L.push({x:dt,minor:!0}):(n=t._prevDateHead,ct=q.tickText(t,dt,!1,C[r].simpleLabel),void 0!==(ft=C[r].periodX)&&(ct.periodX=ft,(ft>p||ft<h)&&(ft>p&&(ct.periodX=p),ft<h&&(ct.periodX=h),ht(ct))),C[r].skipLabel&&ht(ct),v.push(ct))}return v=v.concat(L),t._inCalcTicks=!1,u&&v.length&&(v[0].noTick=!0),v};var st=[2,5,10],lt=[1,2,3,6,12],ut=[1,2,5,10,15,30],ct=[1,2,3,7,14],ft=[-.046,0,.301,.477,.602,.699,.778,.845,.903,.954,1],ht=[-.301,0,.301,.699,1],pt=[15,30,45,90,180];function dt(t,e,r){return e*s.roundUp(t/e,r)}function vt(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>=L&&a<=16||e>=E)t._tickround=\"M\";else if(e>=C&&a<=19||e>=L)t._tickround=\"S\";else{var o=t.l2r(r+e).replace(/^-/,\"\").length;t._tickround=Math.max(a,o)-20,t._tickround<0&&(t._tickround=4)}}else if(i(e)||\"L\"===e.charAt(0)){var s=t.range.map(t.r2d||Number);i(e)||(e=Number(e.substr(1))),t._tickround=2-Math.floor(Math.log(e)/Math.LN10+.01);var l=Math.max(Math.abs(s[0]),Math.abs(s[1])),u=Math.floor(Math.log(l)/Math.LN10+.01),c=void 0===t.minexponent?3:t.minexponent;Math.abs(u)>c&&(mt(t.exponentformat)&&!xt(u)?t._tickexponent=3*Math.round((u-1)/3):t._tickexponent=u)}else t._tickround=null}function gt(t,e,r){var n=t.tickfont||{};return{x:e,dx:0,dy:0,text:r||\"\",fontSize:n.size,font:n.family,fontColor:n.color}}q.autoTicks=function(t,e,r){var n;function a(t){return Math.pow(t,Math.floor(Math.log(e)/Math.LN10))}if(\"date\"===t.type){t.tick0=s.dateTick0(t.calendar,0);var o=2*e;if(o>y)e/=y,n=a(10),t.dtick=\"M\"+12*dt(e,n,st);else if(o>T)e/=T,t.dtick=\"M\"+dt(e,1,lt);else if(o>M){if(t.dtick=dt(e,M,t._hasDayOfWeekBreaks?[1,2,7,14]:ct),!r){var l=q.getTickFormat(t),u=\"period\"===t.ticklabelmode;u&&(t._rawTick0=t.tick0),/%[uVW]/.test(l)?t.tick0=s.dateTick0(t.calendar,2):t.tick0=s.dateTick0(t.calendar,1),u&&(t._dowTick0=t.tick0)}}else o>E?t.dtick=dt(e,E,lt):o>L?t.dtick=dt(e,L,ut):o>C?t.dtick=dt(e,C,ut):(n=a(10),t.dtick=dt(e,n,st))}else if(\"log\"===t.type){t.tick0=0;var c=s.simpleMap(t.range,t.r2l);if(t._isMinor&&(e*=1.5),e>.7)t.dtick=Math.ceil(e);else if(Math.abs(c[1]-c[0])<1){var f=1.5*Math.abs((c[1]-c[0])/e);e=Math.abs(Math.pow(10,c[1])-Math.pow(10,c[0]))/f,n=a(10),t.dtick=\"L\"+dt(e,n,st)}else t.dtick=e>.3?\"D2\":\"D1\"}else\"category\"===t.type||\"multicategory\"===t.type?(t.tick0=0,t.dtick=Math.ceil(Math.max(e,1))):Dt(t)?(t.tick0=0,n=1,t.dtick=dt(e,n,pt)):(t.tick0=0,n=a(10),t.dtick=dt(e,n,st));if(0===t.dtick&&(t.dtick=1),!i(t.dtick)&&\"string\"!=typeof t.dtick){var h=t.dtick;throw t.dtick=1,\"ax.dtick error: \"+String(h)}},q.tickIncrement=function(t,e,r,a){var o=r?-1:1;if(i(e))return s.increment(t,o*e);var l=e.charAt(0),u=o*Number(e.substr(1));if(\"M\"===l)return s.incrementMonth(t,u,a);if(\"L\"===l)return Math.log(Math.pow(10,t)+u)/Math.LN10;if(\"D\"===l){var c=\"D2\"===e?ht:ft,f=t+.01*o,h=s.roundUp(s.mod(f,1),c,r);return Math.floor(f)+Math.log(n.round(Math.pow(10,h),1))/Math.LN10}throw\"unrecognized dtick 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a,o=gt(t,e),l=\"array\"===t.tickmode,u=r||l,c=t.type,f=\"category\"===c?t.d2l_noadd:t.d2l;if(l&&Array.isArray(t.ticktext)){var h=s.simpleMap(t.range,t.r2l),p=(Math.abs(h[1]-h[0])-(t._lBreaks||0))/1e4;for(a=0;a<t.ticktext.length&&!(Math.abs(e-f(t.tickvals[a]))<p);a++);if(a<t.ticktext.length)return o.text=String(t.ticktext[a]),o}function d(n){if(void 0===n)return!0;if(r)return\"none\"===n;var i={first:t._tmin,last:t._tmax}[n];return\"all\"!==n&&e!==i}var v=r?\"never\":\"none\"!==t.exponentformat&&d(t.showexponent)?\"hide\":\"\";if(\"date\"===c?function(t,e,r,n){var a=t._tickround,o=r&&t.hoverformat||q.getTickFormat(t);(n=!o&&n)&&(a=i(a)?4:{y:\"m\",m:\"d\",d:\"M\",M:\"S\",S:4}[a]);var l,u=s.formatDate(e.x,o,a,t._dateFormat,t.calendar,t._extraFormat),c=u.indexOf(\"\\n\");if(-1!==c&&(l=u.substr(c+1),u=u.substr(0,c)),n&&(void 0===l||\"00:00:00\"!==u&&\"00:00\"!==u?8===u.length&&(u=u.replace(/:00$/,\"\")):(u=l,l=\"\")),l)if(r)\"d\"===a?u+=\", \"+l:u=l+(u?\", \"+u:\"\");else if(t._inCalcTicks&&t._prevDateHead===l){var f=Rt(t),h=t._trueSide||t.side;(!f&&\"top\"===h||f&&\"bottom\"===h)&&(u+=\"<br> \")}else t._prevDateHead=l,u+=\"<br>\"+l;e.text=u}(t,o,r,u):\"log\"===c?function(t,e,r,n,a){var o=t.dtick,l=e.x,u=t.tickformat,c=\"string\"==typeof o&&o.charAt(0);if(\"never\"===a&&(a=\"\"),n&&\"L\"!==c&&(o=\"L3\",c=\"L\"),u||\"L\"===c)e.text=bt(Math.pow(10,l),t,a,n);else if(i(o)||\"D\"===c&&s.mod(l+.01,1)<.1){var f=Math.round(l),h=Math.abs(f),p=t.exponentformat;\"power\"===p||mt(p)&&xt(f)?(e.text=0===f?1:1===f?\"10\":\"10<sup>\"+(f>1?\"\":P)+h+\"</sup>\",e.fontSize*=1.25):(\"e\"===p||\"E\"===p)&&h>2?e.text=\"1\"+p+(f>0?\"+\":P)+h:(e.text=bt(Math.pow(10,l),t,\"\",\"fakehover\"),\"D1\"===o&&\"y\"===t._id.charAt(0)&&(e.dy-=e.fontSize/6))}else{if(\"D\"!==c)throw\"unrecognized dtick \"+String(o);e.text=String(Math.round(Math.pow(10,s.mod(l,1)))),e.fontSize*=.75}if(\"D1\"===t.dtick){var d=String(e.text).charAt(0);\"0\"!==d&&\"1\"!==d||(\"y\"===t._id.charAt(0)?e.dx-=e.fontSize/4:(e.dy+=e.fontSize/2,e.dx+=(t.range[1]>t.range[0]?1:-1)*e.fontSize*(l<0?.5:.25)))}}(t,o,0,u,v):\"category\"===c?function(t,e){var r=t._categories[Math.round(e.x)];void 0===r&&(r=\"\"),e.text=String(r)}(t,o):\"multicategory\"===c?function(t,e,r){var n=Math.round(e.x),i=t._categories[n]||[],a=void 0===i[1]?\"\":String(i[1]),o=void 0===i[0]?\"\":String(i[0]);r?e.text=o+\" - \"+a:(e.text=a,e.text2=o)}(t,o,r):Dt(t)?function(t,e,r,n,i){if(\"radians\"!==t.thetaunit||r)e.text=bt(e.x,t,i,n);else{var a=e.x/180;if(0===a)e.text=\"0\";else{var o=function(t){function e(t,e){return Math.abs(t-e)<=1e-6}var r=function(t){for(var r=1;!e(Math.round(t*r)/r,t);)r*=10;return r}(t),n=t*r,i=Math.abs(function t(r,n){return e(n,0)?r:t(n,r%n)}(n,r));return[Math.round(n/i),Math.round(r/i)]}(a);if(o[1]>=100)e.text=bt(s.deg2rad(e.x),t,i,n);else{var 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z=0;z<e.rangebreaks.length;z++)if(e.rangebreaks[z].pattern===y){e._hasDayOfWeekBreaks=!0;break}if(g(e,m),m._has(\"scattergl\")||m._has(\"splom\"))for(var R=0;R<n.data.length;R++){var F=n.data[R];\"scattergl\"!==F.type&&\"splom\"!==F.type||(F.visible=!1,a.warn(F.type+\" traces do not work on axes with rangebreaks. 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k=l._inputDomain,A=(l.domain[1]-l.domain[0])/(k[1]-k[0]),M=(l.r2l(l.range[1])-l.r2l(l.range[0]))/(l.r2l(l._inputRange[1])-l.r2l(l._inputRange[0]));if((h/=A)*M<1){l.domain=l._input.domain=k.slice(),s(l,h);continue}if(M<1&&(l.range=l._input.range=l._inputRange.slice(),h*=M),l.autorange){var S=l.r2l(l.range[0]),E=l.r2l(l.range[1]),L=(S+E)/2,C=L,P=L,O=Math.abs(E-L),I=L-O*h*1.0001,D=L+O*h*1.0001,z=i.makePadFn(p,l,0),R=i.makePadFn(p,l,1);y(l,h);var F,B,N=Math.abs(l._m),j=i.concatExtremes(t,l),U=j.min,V=j.max;for(B=0;B<U.length;B++)(F=U[B].val-z(U[B])/N)>I&&F<C&&(C=F);for(B=0;B<V.length;B++)(F=V[B].val+R(V[B])/N)<D&&F>P&&(P=F);h/=(P-C)/(2*O),C=l.l2r(C),P=l.l2r(P),l.range=l._input.range=S<E?[C,P]:[P,C]}y(l,h)}}},e.getAxisGroup=function(t,e){for(var r=t._axisMatchGroups,n=0;n<r.length;n++)if(r[n][e])return\"g\"+n;return e},e.clean=function(t,e){if(e._inputDomain){for(var 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t.append(\"path\").attr(\"class\",\"zoombox\").style({fill:e>.2?\"rgba(0,0,0,0)\":\"rgba(255,255,255,0)\",\"stroke-width\":0}).attr(\"transform\",u(r,n)).attr(\"d\",i+\"Z\")}function j(t,e,r){return t.append(\"path\").attr(\"class\",\"zoombox-corners\").style({fill:f.background,stroke:f.defaultLine,\"stroke-width\":1,opacity:0}).attr(\"transform\",u(e,r)).attr(\"d\",\"M0,0Z\")}function U(t,e,r,n,i,a){t.attr(\"d\",n+\"M\"+r.l+\",\"+r.t+\"v\"+r.h+\"h\"+r.w+\"v-\"+r.h+\"h-\"+r.w+\"Z\"),V(t,e,i,a)}function V(t,e,r,n){r||(t.transition().style(\"fill\",n>.2?\"rgba(0,0,0,0.4)\":\"rgba(255,255,255,0.3)\").duration(200),e.transition().style(\"opacity\",1).duration(200))}function H(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}function q(t){O&&t.data&&t._context.showTips&&(i.notifier(i._(t,\"Double-click to zoom back out\"),\"long\"),O=!1)}function G(t){var e=Math.floor(Math.min(t.b-t.t,t.r-t.l,P)/2);return\"M\"+(t.l-3.5)+\",\"+(t.t-.5+e)+\"h3v\"+-e+\"h\"+e+\"v-3h-\"+(e+3)+\"ZM\"+(t.r+3.5)+\",\"+(t.t-.5+e)+\"h-3v\"+-e+\"h\"+-e+\"v-3h\"+(e+3)+\"ZM\"+(t.r+3.5)+\",\"+(t.b+.5-e)+\"h-3v\"+e+\"h\"+-e+\"v3h\"+(e+3)+\"ZM\"+(t.l-3.5)+\",\"+(t.b+.5-e)+\"h3v\"+e+\"h\"+e+\"v3h-\"+(e+3)+\"Z\"}function Z(t,e,r,n,a){for(var o,s,l,u,c=!1,f={},h={},p=(a||{}).xaHash,d=(a||{}).yaHash,v=0;v<e.length;v++){var g=e[v];for(o in r)if(g[o]){for(l in g)a&&(p[l]||d[l])||(\"x\"===l.charAt(0)?r:n)[l]||(f[l]=o);for(s in n)a&&(p[s]||d[s])||!g[s]||(c=!0)}for(s in n)if(g[s])for(u in g)a&&(p[u]||d[u])||(\"x\"===u.charAt(0)?r:n)[u]||(h[u]=s)}c&&(i.extendFlat(f,h),h={});var y={},m=[];for(l in f){var x=k(t,l);m.push(x),y[x._id]=x}var b={},_=[];for(u in h){var w=k(t,u);_.push(w),b[w._id]=w}return{xaHash:y,yaHash:b,xaxes:m,yaxes:_,xLinks:f,yLinks:h,isSubplotConstrained:c}}function Y(t,e){if(s){var r=void 0!==t.onwheel?\"wheel\":\"mousewheel\";t._onwheel&&t.removeEventListener(r,t._onwheel),t._onwheel=e,t.addEventListener(r,e,{passive:!1})}else void 0!==t.onwheel?t.onwheel=e:void 0!==t.onmousewheel?t.onmousewheel=e:t.isAddedWheelEvent||(t.isAddedWheelEvent=!0,t.addEventListener(\"wheel\",e,{passive:!1}))}function W(t){var e=[];for(var r in t)e.push(t[r]);return e}t.exports={makeDragBox:function(t,e,r,s,u,f,v,y){var O,I,V,X,J,K,$,Q,tt,et,rt,nt,it,at,ot,st,lt,ut,ct,ft,ht,pt,dt,vt=t._fullLayout._zoomlayer,gt=v+y===\"nsew\",yt=1===(v+y).length;function mt(){if(O=e.xaxis,I=e.yaxis,tt=O._length,et=I._length,$=O._offset,Q=I._offset,(V={})[O._id]=O,(X={})[I._id]=I,v&&y)for(var r=e.overlays,n=0;n<r.length;n++){var i=r[n].xaxis;V[i._id]=i;var a=r[n].yaxis;X[a._id]=a}J=W(V),K=W(X),it=z(J,y),at=z(K,v),ot=!at&&!it,nt=Z(t,t._fullLayout._axisMatchGroups,V,X);var o=(rt=Z(t,t._fullLayout._axisConstraintGroups,V,X,nt)).isSubplotConstrained||nt.isSubplotConstrained;st=y||o,lt=v||o;var s=t._fullLayout;ut=s._has(\"scattergl\"),ct=s._has(\"splom\"),ft=s._has(\"svg\")}r+=e.yaxis._shift,mt();var xt=function(t,e,r){return t?\"nsew\"===t?r?\"\":\"pan\"===e?\"move\":\"crosshair\":t.toLowerCase()+\"-resize\":\"pointer\"}(at+it,t._fullLayout.dragmode,gt),bt=D(e,v+y+\"drag\",xt,r,s,u,f);if(ot&&!gt)return bt.onmousedown=null,bt.style.pointerEvents=\"none\",bt;var _t,wt,Tt,kt,At,Mt,St,Et,Lt,Ct,Pt={element:bt,gd:t,plotinfo:e};function Ot(){Pt.plotinfo.selection=!1,M(t)}function It(t,r){var i=Pt.gd;if(i._fullLayout._activeShapeIndex>=0)i._fullLayout._deactivateShape(i);else{var o=i._fullLayout.clickmode;if(H(i),2!==t||yt||qt(),gt)o.indexOf(\"select\")>-1&&S(r,i,J,K,e.id,Pt),o.indexOf(\"event\")>-1&&p.click(i,r,e.id);else if(1===t&&yt){var s=v?I:O,u=\"s\"===v||\"w\"===y?0:1,f=s._name+\".range[\"+u+\"]\",h=function(t,e){var r,n=t.range[e],i=Math.abs(n-t.range[1-e]);return\"date\"===t.type?n:\"log\"===t.type?(r=Math.ceil(Math.max(0,-Math.log(i)/Math.LN10))+3,a(\".\"+r+\"g\")(Math.pow(10,n))):(r=Math.floor(Math.log(Math.abs(n))/Math.LN10)-Math.floor(Math.log(i)/Math.LN10)+4,a(\".\"+String(r)+\"g\")(n))}(s,u),d=\"left\",g=\"middle\";if(s.fixedrange)return;v?(g=\"n\"===v?\"top\":\"bottom\",\"right\"===s.side&&(d=\"right\")):\"e\"===y&&(d=\"right\"),i._context.showAxisRangeEntryBoxes&&n.select(bt).call(c.makeEditable,{gd:i,immediate:!0,background:i._fullLayout.paper_bgcolor,text:String(h),fill:s.tickfont?s.tickfont.color:\"#444\",horizontalAlign:d,verticalAlign:g}).on(\"edit\",(function(t){var e=s.d2r(t);void 0!==e&&l.call(\"_guiRelayout\",i,f,e)}))}}}function Dt(e,r){if(t._transitioningWithDuration)return!1;var n=Math.max(0,Math.min(tt,pt*e+_t)),i=Math.max(0,Math.min(et,dt*r+wt)),a=Math.abs(n-_t),o=Math.abs(i-wt);function s(){St=\"\",Tt.r=Tt.l,Tt.t=Tt.b,Lt.attr(\"d\",\"M0,0Z\")}if(Tt.l=Math.min(_t,n),Tt.r=Math.max(_t,n),Tt.t=Math.min(wt,i),Tt.b=Math.max(wt,i),rt.isSubplotConstrained)a>P||o>P?(St=\"xy\",a/tt>o/et?(o=a*et/tt,wt>i?Tt.t=wt-o:Tt.b=wt+o):(a=o*tt/et,_t>n?Tt.l=_t-a:Tt.r=_t+a),Lt.attr(\"d\",G(Tt))):s();else if(nt.isSubplotConstrained)if(a>P||o>P){St=\"xy\";var l=Math.min(Tt.l/tt,(et-Tt.b)/et),u=Math.max(Tt.r/tt,(et-Tt.t)/et);Tt.l=l*tt,Tt.r=u*tt,Tt.b=(1-l)*et,Tt.t=(1-u)*et,Lt.attr(\"d\",G(Tt))}else 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a=Pt.dragmode,s=t._fullLayout.dragmode;s!==a&&(Pt.dragmode=s),mt(),pt=t._fullLayout._invScaleX,dt=t._fullLayout._invScaleY,ot||(gt?e.shiftKey?\"pan\"===s?s=\"zoom\":m(s)||(s=\"pan\"):e.ctrlKey&&(s=\"pan\"):s=\"pan\"),x(s)?Pt.minDrag=1:Pt.minDrag=void 0,m(s)?(Pt.xaxes=J,Pt.yaxes=K,A(e,r,n,Pt,s)):(Pt.clickFn=It,m(a)&&Ot(),ot||(\"zoom\"===s?(Pt.moveFn=Dt,Pt.doneFn=Rt,Pt.minDrag=1,function(e,r,n){var a=bt.getBoundingClientRect();_t=r-a.left,wt=n-a.top,t._fullLayout._calcInverseTransform(t);var s=i.apply3DTransform(t._fullLayout._invTransform)(_t,wt);_t=s[0],wt=s[1],Tt={l:_t,r:_t,w:0,t:wt,b:wt,h:0},kt=t._hmpixcount?t._hmlumcount/t._hmpixcount:o(t._fullLayout.plot_bgcolor).getLuminance(),Mt=!1,St=\"xy\",Ct=!1,Et=N(vt,kt,$,Q,At=\"M0,0H\"+tt+\"V\"+et+\"H0V0\"),Lt=j(vt,$,Q)}(0,r,n)):\"pan\"===s&&(Pt.moveFn=Ut,Pt.doneFn=Gt))),t._fullLayout._redrag=function(){var e=t._dragdata;if(e&&e.element===bt){var r=t._fullLayout.dragmode;m(r)||(mt(),Zt([0,0,tt,et]),Pt.moveFn(e.dx,e.dy))}}},g.init(Pt);var Ft=[0,0,tt,et],Bt=null,Nt=L.REDRAWDELAY,jt=e.mainplot?t._fullLayout._plots[e.mainplot]:e;function Ut(e,r){if(e*=pt,r*=dt,!t._transitioningWithDuration){if(t._fullLayout._replotting=!0,\"ew\"===it||\"ns\"===at){var n=it?-e:0,i=at?-r:0;if(nt.isSubplotConstrained){if(it&&at){var a=(e/tt-r/et)/2;n=-(e=a*tt),i=-(r=-a*et)}at?n=-i*tt/et:i=-n*et/tt}return it&&(F(J,e),Vt(\"x\")),at&&(F(K,r),Vt(\"y\")),Zt([n,i,tt,et]),Ht(),void t.emit(\"plotly_relayouting\",ht)}var o,s,l=\"w\"===it==(\"n\"===at)?1:-1;if(it&&at&&(rt.isSubplotConstrained||nt.isSubplotConstrained)){var u=(e/tt+l*r/et)/2;e=u*tt,r=l*u*et}if(\"w\"===it?e=p(J,0,e):\"e\"===it?e=p(J,1,-e):it||(e=0),\"n\"===at?r=p(K,1,r):\"s\"===at?r=p(K,0,-r):at||(r=0),o=\"w\"===it?e:0,s=\"n\"===at?r:0,rt.isSubplotConstrained&&!nt.isSubplotConstrained||nt.isSubplotConstrained&&it&&at&&l>0){var c;if(nt.isSubplotConstrained||!it&&1===at.length){for(c=0;c<J.length;c++)J[c].range=J[c]._r.slice(),E(J[c],1-r/et);o=(e=r*tt/et)/2}if(nt.isSubplotConstrained||!at&&1===it.length){for(c=0;c<K.length;c++)K[c].range=K[c]._r.slice(),E(K[c],1-e/tt);s=(r=e*et/tt)/2}}nt.isSubplotConstrained&&at||Vt(\"x\"),nt.isSubplotConstrained&&it||Vt(\"y\");var f=tt-e,h=et-r;!nt.isSubplotConstrained||it&&at||(it?(s=o?0:e*et/tt,h=f*et/tt):(o=s?0:r*tt/et,f=h*tt/et)),Zt([o,s,f,h]),Ht(),t.emit(\"plotly_relayouting\",ht)}function p(t,e,r){for(var n,i,a=1-e,o=0;o<t.length;o++){var s=t[o];if(!s.fixedrange){n=s,i=s._rl[a]+(s._rl[e]-s._rl[a])/B(r/s._length);var l=s.l2r(i);!1!==l&&void 0!==l&&(s.range[e]=l)}}return n._length*(n._rl[e]-i)/(n._rl[e]-n._rl[a])}}function Vt(t,e){for(var r=nt.isSubplotConstrained?{x:K,y:J}[t]:nt[t+\"axes\"],n=nt.isSubplotConstrained?{x:J,y:K}[t]:[],i=0;i<r.length;i++){var a=r[i],o=a._id,s=nt.xLinks[o]||nt.yLinks[o],l=n[0]||V[s]||X[s];l&&(e?(e[a._name+\".range[0]\"]=e[l._name+\".range[0]\"],e[a._name+\".range[1]\"]=e[l._name+\".range[1]\"]):a.range=l.range.slice())}}function Ht(){var r,n=[];function i(t){for(r=0;r<t.length;r++)t[r].fixedrange||n.push(t[r]._id)}function a(t,e){for(r=0;r<t.length;r++){var i=t[r],a=i[e];i.fixedrange||\"sync\"!==a.tickmode||n.push(a._id)}}for(st&&(i(J),i(rt.xaxes),i(nt.xaxes),a(e.overlays,\"xaxis\")),lt&&(i(K),i(rt.yaxes),i(nt.yaxes),a(e.overlays,\"yaxis\")),ht={},r=0;r<n.length;r++){var o=n[r],s=k(t,o);d.drawOne(t,s,{skipTitle:!0}),ht[s._name+\".range[0]\"]=s.range[0],ht[s._name+\".range[1]\"]=s.range[1]}d.redrawComponents(t,n)}function qt(){if(!t._transitioningWithDuration){var e=t._context.doubleClick,r=[];it&&(r=r.concat(J)),at&&(r=r.concat(K)),nt.xaxes&&(r=r.concat(nt.xaxes)),nt.yaxes&&(r=r.concat(nt.yaxes));var n,i,a={};if(\"reset+autosize\"===e)for(e=\"autosize\",i=0;i<r.length;i++){var o=(n=r[i])._rangeInitial0,s=n._rangeInitial1,u=void 0!==o||void 0!==s;if(u&&(void 0!==o&&o!==n.range[0]||void 0!==s&&s!==n.range[1])||!u&&!0!==n.autorange){e=\"reset\";break}}if(\"autosize\"===e)for(i=0;i<r.length;i++)(n=r[i]).fixedrange||(a[n._name+\".autorange\"]=!0);else if(\"reset\"===e)for((it||rt.isSubplotConstrained)&&(r=r.concat(rt.xaxes)),at&&!rt.isSubplotConstrained&&(r=r.concat(rt.yaxes)),rt.isSubplotConstrained&&(it?at||(r=r.concat(K)):r=r.concat(J)),i=0;i<r.length;i++)if(!(n=r[i]).fixedrange){var c=n._name,f=n._autorangeInitial;void 0===n._rangeInitial0&&void 0===n._rangeInitial1?a[c+\".autorange\"]=!0:void 0===n._rangeInitial0?(a[c+\".autorange\"]=f,a[c+\".range\"]=[null,n._rangeInitial1]):void 0===n._rangeInitial1?(a[c+\".range\"]=[n._rangeInitial0,null],a[c+\".autorange\"]=f):a[c+\".range\"]=[n._rangeInitial0,n._rangeInitial1]}t.emit(\"plotly_doubleclick\",null),l.call(\"_guiRelayout\",t,a)}}function Gt(){Zt([0,0,tt,et]),i.syncOrAsync([T.previousPromises,function(){t._fullLayout._replotting=!1,l.call(\"_guiRelayout\",t,ht)}],t)}function Zt(e){var r,n,a,o,s=t._fullLayout,u=s._plots,c=s._subplots.cartesian;if(ct&&l.subplotsRegistry.splom.drag(t),ut)for(r=0;r<c.length;r++)if(a=(n=u[c[r]]).xaxis,o=n.yaxis,n._scene){var f=i.simpleMap(a.range,a.r2l),p=i.simpleMap(o.range,o.r2l);a.limitRange&&a.limitRange(),o.limitRange&&o.limitRange(),f=a.range,p=o.range,n._scene.update({range:[f[0],p[0],f[1],p[1]]})}if((ct||ut)&&(_(t),w(t)),ft){var d=e[2]/O._length,g=e[3]/I._length;for(r=0;r<c.length;r++){a=(n=u[c[r]]).xaxis,o=n.yaxis;var m,x,b,T,k=(st||nt.isSubplotConstrained)&&!a.fixedrange&&V[a._id],A=(lt||nt.isSubplotConstrained)&&!o.fixedrange&&X[o._id];if(k?(m=d,b=y||nt.isSubplotConstrained?e[0]:Xt(a,m)):nt.xaHash[a._id]?(m=d,b=e[0]*a._length/O._length):nt.yaHash[a._id]?(m=g,b=\"ns\"===at?-e[1]*a._length/I._length:Xt(a,m,{n:\"top\",s:\"bottom\"}[at])):b=Wt(a,m=Yt(a,d,g)),m>1&&(void 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r=function(t,e){return[t[1]*e[2]-t[2]*e[1],t[2]*e[0]-t[0]*e[2],t[0]*e[1]-t[1]*e[0]]}(t,e),n=Math.sqrt(x(r,r)),i=.5*Math.acos(Math.max(-1,Math.min(1,x(t,e)))),a=Math.sin(i)/n;return n&&[Math.cos(i),r[2]*a,-r[1]*a,r[0]*a]}}(r,_),T=function(t){return[Math.atan2(2*(t[0]*t[1]+t[2]*t[3]),1-2*(t[1]*t[1]+t[2]*t[2]))*s,Math.asin(Math.max(-1,Math.min(1,2*(t[0]*t[2]-t[3]*t[1]))))*s,Math.atan2(2*(t[0]*t[3]+t[1]*t[2]),1-2*(t[2]*t[2]+t[3]*t[3]))*s]}((o=(t=C)[0],l=t[1],u=t[2],c=t[3],[o*(f=(a=w)[0])-l*(p=a[1])-u*(d=a[2])-c*(y=a[3]),o*p+l*f+u*y-c*d,o*d-l*y+u*f+c*p,o*y+l*d-u*p+c*f])),k=i.r=function(t,e,r){var n=m(e,2,t[0]);n=m(n,1,t[1]),n=m(n,0,t[2]-r[2]);var i,a,o=e[0],l=e[1],u=e[2],c=n[0],f=n[1],h=n[2],p=Math.atan2(l,o)*s,d=Math.sqrt(o*o+l*l);Math.abs(f)>d?(a=(f>0?90:-90)-p,i=0):(a=Math.asin(f/d)*s-p,i=Math.sqrt(d*d-f*f));var v=180-a-2*p,y=(Math.atan2(h,c)-Math.atan2(u,i))*s,x=(Math.atan2(h,c)-Math.atan2(u,-i))*s;return g(r[0],r[1],a,y)<=g(r[0],r[1],v,x)?[a,y,r[2]]:[v,x,r[2]]}(T,r,E);isFinite(k[0])&&isFinite(k[1])&&isFinite(k[2])||(k=E),e.rotate(k),E=k}}else r=v(e,M=b);h.of(this,arguments)({type:\"zoom\"})})),A=h.of(this,arguments),p++||A({type:\"zoomstart\"})})).on(\"zoomend\",(function(){var r;n.select(this).style(u),d.call(a,\"zoom\",null),r=h.of(this,arguments),--p||r({type:\"zoomend\"}),f(t,e,y)})).on(\"zoom.redraw\",(function(){t.render(!0);var r=e.rotate();t.graphDiv.emit(\"plotly_relayouting\",{\"geo.projection.scale\":e.scale()/t.fitScale,\"geo.projection.rotation.lon\":-r[0],\"geo.projection.rotation.lat\":-r[1]})})),n.rebind(a,h,\"on\")}function v(t,e){var r=t.invert(e);return r&&isFinite(r[0])&&isFinite(r[1])&&function(t){var e=t[0]*o,r=t[1]*o,n=Math.cos(r);return[n*Math.cos(e),n*Math.sin(e),Math.sin(r)]}(r)}function g(t,e,r,n){var i=y(r-t),a=y(n-e);return Math.sqrt(i*i+a*a)}function y(t){return(t%360+540)%360-180}function m(t,e,r){var n=r*o,i=t.slice(),a=0===e?1:0,s=2===e?1:2,l=Math.cos(n),u=Math.sin(n);return i[a]=t[a]*l-t[s]*u,i[s]=t[s]*l+t[a]*u,i}function x(t,e){for(var r=0,n=0,i=t.length;n<i;++n)r+=t[n]*e[n];return r}t.exports=function(t,e){var r=t.projection;return(e._isScoped?h:e._isClipped?d:p)(t,r)}},27659:function(t,e,r){\"use strict\";var n=r(73972),i=r(85555).SUBPLOT_PATTERN;e.AU=function(t,e,r){var i=n.subplotsRegistry[e];if(!i)return[];for(var a=i.attr,o=[],s=0;s<t.length;s++){var l=t[s];l[0].trace[a]===r&&o.push(l)}return o},e.a0=function(t,e){var r,i=[],a=[];if(!(r=\"string\"==typeof e?n.getModule(e).plot:\"function\"==typeof e?e:e.plot))return[i,t];for(var o=0;o<t.length;o++){var s=t[o],l=s[0].trace;!0===l.visible&&0!==l._length&&(l._module&&l._module.plot===r?i.push(s):a.push(s))}return[i,a]},e.NG=function(t,e,r){if(!n.subplotsRegistry[e])return[];var a,o,s,l=n.subplotsRegistry[e].attr,u=[];if(\"gl2d\"===e){var c=r.match(i);o=\"x\"+c[1],s=\"y\"+c[2]}for(var f=0;f<t.length;f++)a=t[f],\"gl2d\"===e&&n.traceIs(a,\"gl2d\")?a[l[0]]===o&&a[l[1]]===s&&u.push(a):a[l]===r&&u.push(a);return u}},75071:function(t,e,r){\"use strict\";var n=r(16825),i=r(1195),a=r(48956),o=r(85555),s=r(38520);function l(t,e){this.element=t,this.plot=e,this.mouseListener=null,this.wheelListener=null,this.lastInputTime=Date.now(),this.lastPos=[0,0],this.boxEnabled=!1,this.boxInited=!1,this.boxStart=[0,0],this.boxEnd=[0,0],this.dragStart=[0,0]}t.exports=function(t){var e=t.mouseContainer,r=t.glplot,u=new l(e,r);function c(){t.xaxis.autorange=!1,t.yaxis.autorange=!1}function f(e,n,i){var a,s,l=t.calcDataBox(),f=r.viewBox,h=u.lastPos[0],p=u.lastPos[1],d=o.MINDRAG*r.pixelRatio,v=o.MINZOOM*r.pixelRatio;function g(e,r,n){var i=Math.min(r,n),a=Math.max(r,n);i!==a?(l[e]=i,l[e+2]=a,u.dataBox=l,t.setRanges(l)):(t.selectBox.selectBox=[0,0,1,1],t.glplot.setDirty())}switch(n*=r.pixelRatio,i*=r.pixelRatio,i=f[3]-f[1]-i,t.fullLayout.dragmode){case\"zoom\":if(e){var y=n/(f[2]-f[0])*(l[2]-l[0])+l[0],m=i/(f[3]-f[1])*(l[3]-l[1])+l[1];u.boxInited||(u.boxStart[0]=y,u.boxStart[1]=m,u.dragStart[0]=n,u.dragStart[1]=i),u.boxEnd[0]=y,u.boxEnd[1]=m,u.boxInited=!0,u.boxEnabled||u.boxStart[0]===u.boxEnd[0]&&u.boxStart[1]===u.boxEnd[1]||(u.boxEnabled=!0);var x=Math.abs(u.dragStart[0]-n)<v,b=Math.abs(u.dragStart[1]-i)<v;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&&(u.boxEnd[0]=u.boxStart[0]),b&&(u.boxEnd[1]=u.boxStart[1]);else{a=u.boxEnd[0]-u.boxStart[0],s=u.boxEnd[1]-u.boxStart[1];var _=(l[3]-l[1])/(l[2]-l[0]);Math.abs(a*_)>Math.abs(s)?(u.boxEnd[1]=u.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),u.boxEnd[1]<l[1]?(u.boxEnd[1]=l[1],u.boxEnd[0]=u.boxStart[0]+(l[1]-u.boxStart[1])/Math.abs(_)):u.boxEnd[1]>l[3]&&(u.boxEnd[1]=l[3],u.boxEnd[0]=u.boxStart[0]+(l[3]-u.boxStart[1])/Math.abs(_))):(u.boxEnd[0]=u.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),u.boxEnd[0]<l[0]?(u.boxEnd[0]=l[0],u.boxEnd[1]=u.boxStart[1]+(l[0]-u.boxStart[0])*Math.abs(_)):u.boxEnd[0]>l[2]&&(u.boxEnd[0]=l[2],u.boxEnd[1]=u.boxStart[1]+(l[2]-u.boxStart[0])*Math.abs(_)))}}else u.boxEnabled?(a=u.boxStart[0]!==u.boxEnd[0],s=u.boxStart[1]!==u.boxEnd[1],a||s?(a&&(g(0,u.boxStart[0],u.boxEnd[0]),t.xaxis.autorange=!1),s&&(g(1,u.boxStart[1],u.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),u.boxEnabled=!1,u.boxInited=!1):u.boxInited&&(u.boxInited=!1);break;case\"pan\":u.boxEnabled=!1,u.boxInited=!1,e?(u.panning||(u.dragStart[0]=n,u.dragStart[1]=i),Math.abs(u.dragStart[0]-n)<d&&(n=u.dragStart[0]),Math.abs(u.dragStart[1]-i)<d&&(i=u.dragStart[1]),a=(h-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),u.panning=!0,u.lastInputTime=Date.now(),c(),t.cameraChanged(),t.handleAnnotations()):u.panning&&(u.panning=!1,t.relayoutCallback())}u.lastPos[0]=n,u.lastPos[1]=i}return u.mouseListener=n(e,f),e.addEventListener(\"touchstart\",(function(t){var r=a(t.changedTouches[0],e);f(0,r[0],r[1]),f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchmove\",(function(t){t.preventDefault();var r=a(t.changedTouches[0],e);f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchend\",(function(t){f(0,u.lastPos[0],u.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),u.wheelListener=i(e,(function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=u.lastPos[0],s=u.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),f=o/(a[2]-a[0])*(i[2]-i[0])+i[0],h=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-f)*l+f,i[2]=(i[2]-f)*l+f,i[1]=(i[1]-h)*l+h,i[3]=(i[3]-h)*l+h,t.setRanges(i),u.lastInputTime=Date.now(),c(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),u}},82961:function(t,e,r){\"use strict\";var n=r(89298),i=r(78614);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,u,c,f,h,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),h=0;h<2;++h){var d=(e=s[h]).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[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;u=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!u,l=this.hasAxisInAltrPos(e,r)&&!u,a=r.mirror||!1,c=u?-1!==String(a).indexOf(\"all\"):!!a,f=u?\"allticks\"===a:-1!==String(a).indexOf(\"ticks\"),o?this.labelEnable[h]=!0:l&&(this.labelEnable[h+2]=!0),o?this.tickEnable[h]=r.showticklabels:l&&(this.tickEnable[h+2]=r.showticklabels),(o||c)&&(this.borderLineEnable[h]=r.showline),(l||c)&&(this.borderLineEnable[h+2]=r.showline),(o||f)&&(this.tickMarkLength[h]=this.getTickMarkLength(r)),(l||f)&&(this.tickMarkLength[h+2]=this.getTickMarkLength(r)),this.gridLineEnable[h]=r.showgrid,this.gridLineColor[h]=i(r.gridcolor),this.gridLineWidth[h]=r.gridwidth,this.zeroLineEnable[h]=r.zeroline,this.zeroLineColor[h]=i(r.zerolinecolor),this.zeroLineWidth[h]=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=1.5,n=e.title.font.size,i=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?n*(r+(i?1:0))-10:n*(r+(i?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+n*(r+(i?1:.5)):10+n*(r+(i?.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},t.exports=function(t){return new a(t)}},4796:function(t,e,r){\"use strict\";var n=r(30962).overrideAll,i=r(92918),a=r(10820),o=r(77922),s=r(85555),l=r(93612),u=r(528),c=r(27659).NG;e.name=\"gl2d\",e.attr=[\"xaxis\",\"yaxis\"],e.idRoot=[\"x\",\"y\"],e.idRegex=s.idRegex,e.attrRegex=s.attrRegex,e.attributes=r(89502),e.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},e.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),e.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:u.hoverlabel},\"plot\",\"nested\"),e.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=c(r,\"gl2d\",o),u=s._scene2d;void 0===u&&(u=new i({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=u),u.plot(l,t.calcdata,e,t.layout)}},e.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];s._scene2d&&0===c(t,\"gl2d\",o).length&&(s._scene2d.destroy(),delete n._plots[o])}l.clean.apply(this,arguments)},e.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},e.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()}},e.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)}},92918:function(t,e,r){\"use strict\";var n,i,a=r(73972),o=r(89298),s=r(30211),l=r(9330).gl_plot2d,u=r(9330).gl_spikes2d,c=r(9330).gl_select_box,f=r(40372),h=r(82961),p=r(75071),d=r(58617),v=r(99082),g=v.enforce,y=v.clean,m=r(71739).doAutoRange,x=r(64505),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=r(85555).SUBPLOT_PATTERN;function k(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=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=u(this.glplot),this.selectBox=c(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())}t.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement(\"canvas\"),i=f({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=f({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);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}))},A.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 u=0;u<4;++u){var c=a[4*(r*o+l)+u];a[4*(r*o+l)+u]=a[4*(r*s+l)+u],a[4*(r*s+l)+u]=c}var f=document.createElement(\"canvas\");f.width=r,f.height=i;var h,p=f.getContext(\"2d\",{willReadFrequently:!0}),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case\"jpeg\":h=f.toDataURL(\"image/jpeg\");break;case\"webp\":h=f.toDataURL(\"image/webp\");break;default:h=f.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),h},A.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},A.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},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.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 u=n[r._name];u.range=s,u.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",i)},A.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())},A.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)}},A.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}},A.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:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};y(s,this.xaxis),y(s,this.yaxis);var l,u,c=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[c.l+f[0]*c.w,c.b+h[0]*c.h,i-c.r-(1-f[1])*c.w,a-c.t-(1-h[1])*c.h],this.mouseContainer.style.width=c.w*(f[1]-f[0])+\"px\",this.mouseContainer.style.height=c.h*(h[1]-h[0])+\"px\",this.mouseContainer.height=c.h*(h[1]-h[0]),this.mouseContainer.style.left=c.l+f[0]*c.w+\"px\",this.mouseContainer.style.top=c.t+(1-h[1])*c.h+\"px\",u=0;u<2;++u)(l=this[w[u]])._length=o.viewBox[u+2]-o.viewBox[u],m(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.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])]},A.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])]},A.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],u=this.traces[i.uid];u?u.update(i,l):(u=i._module.plot(this,i,l),this.traces[i.uid]=u)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){_(t)||b(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},A.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]})},A.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 u=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],c=0;c<2;c++)e.boxStart[c]===e.boxEnd[c]&&(u[c]=t.dataBox[c],u[c+2]=t.dataBox[c+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.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 v=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),v.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 g=this.fullData[v.trace.index]||{},y=v.pointIndex,m=s.castHoverinfo(g,i,y);if(m&&\"all\"!==m){var x=m.split(\"+\");-1===x.indexOf(\"x\")&&(v.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(v.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(v.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(v.textLabel=void 0),-1===x.indexOf(\"name\")&&(v.name=void 0)}s.loneHover({x:v.screenCoord[0],y:v.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",v.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",v.traceCoord[1]),zLabel:v.traceCoord[2],text:v.textLabel,name:v.name,color:s.castHoverOption(g,y,\"bgcolor\")||v.color,borderColor:s.castHoverOption(g,y,\"bordercolor\"),fontFamily:s.castHoverOption(g,y,\"font.family\"),fontSize:s.castHoverOption(g,y,\"font.size\"),fontColor:s.castHoverOption(g,y,\"font.color\"),nameLength:s.castHoverOption(g,y,\"namelength\"),textAlign:s.castHoverOption(g,y,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},58547:function(t,e,r){\"use strict\";var n=r(30962).overrideAll,i=r(528),a=r(33539),o=r(27659).NG,s=r(71828),l=r(77922),u=\"gl3d\",c=\"scene\";e.name=u,e.attr=c,e.idRoot=c,e.idRegex=e.attrRegex=s.counterRegex(\"scene\"),e.attributes=r(59084),e.layoutAttributes=r(65500),e.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),e.supplyLayoutDefaults=r(24682),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots[u],i=0;i<n.length;i++){var s=n[i],l=o(r,u,s),c=e[s],f=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:f},e),c._scene=h),h.viewInitial||(h.viewInitial={up:{x:f.up.x,y:f.up.y,z:f.up.z},eye:{x:f.eye.x,y:f.eye.y,z:f.eye.z},center:{x:f.center.x,y:f.center.y,z:f.center.z}}),h.plot(l,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots[u]||[],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())}},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots[u],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()}},e.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),c+e}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots[u],n=0;n<r.length;n++)e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}},59084:function(t){\"use strict\";t.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},77894:function(t,e,r){\"use strict\";var n=r(7901),i=r(13838),a=r(1426).extendFlat,o=r(30962).overrideAll;t.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:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,autorangeoptions:{minallowed:i.autorangeoptions.minallowed,maxallowed:i.autorangeoptions.maxallowed,clipmin:i.autorangeoptions.clipmin,clipmax:i.autorangeoptions.clipmax,include:i.autorangeoptions.include,editType:\"plot\"},rangemode:i.rangemode,minallowed:i.minallowed,maxallowed:i.maxallowed,range:a({},i.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:i.minor.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,labelalias:i.labelalias,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,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\")},3277:function(t,e,r){\"use strict\";var n=r(84267).mix,i=r(71828),a=r(44467),o=r(77894),s=r(951),l=r(71453),u=[\"xaxis\",\"yaxis\",\"zaxis\"];t.exports=function(t,e,r){var c,f;function h(t,e){return i.coerce(c,f,o,t,e)}for(var p=0;p<u.length;p++){var d=u[p];c=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(c,f,h,r),l(c,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,noInsiderange:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h(\"gridcolor\",n(f.color,r.bgColor,72.72727272727273).toRgbString()),h(\"title.text\",d[0]),f.setScale=i.noop,h(\"showspikes\")&&(h(\"spikesides\"),h(\"spikethickness\"),h(\"spikecolor\",f.color)),h(\"showaxeslabels\"),h(\"showbackground\")&&h(\"backgroundcolor\")}}},30422:function(t,e,r){\"use strict\";var n=r(78614),i=r(71828),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=this,o=0;o<3;++o){var s=e[a[o]];s.visible?(r.labels[o]=t._meta?i.templateString(s.title.text,t._meta):s.title.text,\"font\"in s.title&&(s.title.font.color&&(r.labelColor[o]=n(s.title.font.color)),s.title.font.family&&(r.labelFont[o]=s.title.font.family),s.title.font.size&&(r.labelSize[o]=s.title.font.size)),\"showline\"in s&&(r.lineEnable[o]=s.showline),\"linecolor\"in s&&(r.lineColor[o]=n(s.linecolor)),\"linewidth\"in s&&(r.lineWidth[o]=s.linewidth),\"showgrid\"in s&&(r.gridEnable[o]=s.showgrid),\"gridcolor\"in s&&(r.gridColor[o]=n(s.gridcolor)),\"gridwidth\"in s&&(r.gridWidth[o]=s.gridwidth),\"log\"===s.type?r.zeroEnable[o]=!1:\"zeroline\"in s&&(r.zeroEnable[o]=s.zeroline),\"zerolinecolor\"in s&&(r.zeroLineColor[o]=n(s.zerolinecolor)),\"zerolinewidth\"in s&&(r.zeroLineWidth[o]=s.zerolinewidth),\"ticks\"in s&&s.ticks?r.lineTickEnable[o]=!0:r.lineTickEnable[o]=!1,\"ticklen\"in s&&(r.lineTickLength[o]=r._defaultLineTickLength[o]=s.ticklen),\"tickcolor\"in s&&(r.lineTickColor[o]=n(s.tickcolor)),\"tickwidth\"in s&&(r.lineTickWidth[o]=s.tickwidth),\"tickangle\"in s&&(r.tickAngle[o]=\"auto\"===s.tickangle?-3600:Math.PI*-s.tickangle/180),\"showticklabels\"in s&&(r.tickEnable[o]=s.showticklabels),\"tickfont\"in s&&(s.tickfont.color&&(r.tickColor[o]=n(s.tickfont.color)),s.tickfont.family&&(r.tickFont[o]=s.tickfont.family),s.tickfont.size&&(r.tickSize[o]=s.tickfont.size)),\"mirror\"in s?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(s.mirror)?(r.lineTickMirror[o]=!0,r.lineMirror[o]=!0):!0===s.mirror?(r.lineTickMirror[o]=!1,r.lineMirror[o]=!0):(r.lineTickMirror[o]=!1,r.lineMirror[o]=!1):r.lineMirror[o]=!1,\"showbackground\"in s&&!1!==s.showbackground?(r.backgroundEnable[o]=!0,r.backgroundColor[o]=n(s.backgroundcolor)):r.backgroundEnable[o]=!1):(r.tickEnable[o]=!1,r.labelEnable[o]=!1,r.lineEnable[o]=!1,r.lineTickEnable[o]=!1,r.gridEnable[o]=!1,r.zeroEnable[o]=!1,r.backgroundEnable[o]=!1)}},t.exports=function(t,e){var r=new o;return r.merge(t,e),r}},24682:function(t,e,r){\"use strict\";var n=r(71828),i=r(7901),a=r(73972),o=r(49119),s=r(3277),l=r(65500),u=r(27659).NG,c=\"gl3d\";function f(t,e,r,n){for(var o=r(\"bgcolor\"),l=i.combine(o,n.paper_bgcolor),f=[\"up\",\"center\",\"eye\"],h=0;h<f.length;h++)r(\"camera.\"+f[h]+\".x\"),r(\"camera.\"+f[h]+\".y\"),r(\"camera.\"+f[h]+\".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 v=u(n.fullData,c,n.id);s(t,e,{font:n.font,scene:n.id,data:v,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var g=n.getDfltFromLayout(\"dragmode\");if(!1!==g&&!g)if(g=\"orbit\",t.camera&&t.camera.up){var y=t.camera.up.x,m=t.camera.up.y,x=t.camera.up.z;0!==x&&(y&&m&&x?x/Math.sqrt(y*y+m*m+x*x)>.999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}t.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:c,attributes:l,handleDefaults:f,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},65500:function(t,e,r){\"use strict\";var n=r(77894),i=r(27670).Y,a=r(1426).extendFlat,o=r(71828).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\"}}t.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\"}}}},13133:function(t,e,r){\"use strict\";var n=r(78614),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)}},t.exports=function(t){var e=new a;return e.merge(t),e}},96085:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],u=0;u<3;++u){var c=s[a[u]];if(c._length=(r[u].hi-r[u].lo)*r[u].pixelsPerDataUnit/t.dataScale[u],Math.abs(c._length)===1/0||isNaN(c._length))l[u]=[];else{c._input_range=c.range.slice(),c.range[0]=r[u].lo/t.dataScale[u],c.range[1]=r[u].hi/t.dataScale[u],c._m=1/(t.dataScale[u]*r[u].pixelsPerDataUnit),c.range[0]===c.range[1]&&(c.range[0]-=1,c.range[1]+=1);var f=c.tickmode;if(\"auto\"===c.tickmode){c.tickmode=\"linear\";var h=c.nticks||i.constrain(c._length/40,4,9);n.autoTicks(c,Math.abs(c.range[1]-c.range[0])/h)}for(var p=n.calcTicks(c,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[u],\"date\"===c.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[u]=p,c.tickmode=f}}for(e.ticks=l,u=0;u<3;++u)for(o[u]=.5*(t.glplot.bounds[0][u]+t.glplot.bounds[1][u]),d=0;d<2;++d)e.bounds[d][u]=t.glplot.bounds[d][u];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=r(89298),i=r(71828),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},63538:function(t){\"use strict\";function e(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}t.exports=function(t,r){return e(t.projection,e(t.view,e(t.model,[r[0],r[1],r[2],1])))}},33539:function(t,e,r){\"use strict\";var n,i,a=r(9330).gl_plot3d,o=a.createCamera,s=a.createScene,l=r(40372),u=r(38520),c=r(73972),f=r(71828),h=f.preserveDrawingBuffer(),p=r(89298),d=r(30211),v=r(78614),g=r(58617),y=r(63538),m=r(30422),x=r(13133),b=r(96085),_=r(71739).applyAutorangeOptions,w=!1;function T(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=m(e,e[this.id]),this.spikeOptions=x(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\"),this.initializeGLPlot()}var k=T.prototype;k.prepareOptions=function(){var t=this,e={canvas:t.canvas,gl:t.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:t.camera,pixelRatio:t.pixelRatio};if(t.staticMode){if(!(i||(n=document.createElement(\"canvas\"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");e.gl=i,e.canvas=n}return e};var A=!0;k.tryCreatePlot=function(){var t=this,e=t.prepareOptions(),r=!0;try{t.glplot=s(e)}catch(n){if(t.staticMode||!A||h)r=!1;else{f.warn([\"webgl setup failed possibly due to\",\"false preserveDrawingBuffer config.\",\"The mobile/tablet device may not be detected by is-mobile module.\",\"Enabling preserveDrawingBuffer in second attempt to create webgl scene...\"].join(\" \"));try{h=e.glOptions.preserveDrawingBuffer=!0,t.glplot=s(e)}catch(t){h=e.glOptions.preserveDrawingBuffer=!1,r=!1}}}return A=!1,r},k.initializeGLCamera=function(){var t=this,e=t.fullSceneLayout.camera,r=\"orthographic\"===e.projection.type;t.camera=o(t.container,{center:[e.center.x,e.center.y,e.center.z],eye:[e.eye.x,e.eye.y,e.eye.z],up:[e.up.x,e.up.y,e.up.z],_ortho:r,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},k.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener(\"mouseup\",(function(){i(t)})),t.glplot.canvas.addEventListener(\"touchstart\",(function(){w=!0})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!u&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},k.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),b(e),e.glplot.axes.update(e.axesOptions);for(var u=Object.keys(e.traces),c=null,h=e.glplot.selection,v=0;v<u.length;++v)\"skip\"!==(t=e.traces[u[v]]).data.hoverinfo&&t.handlePick(h)&&(c=t),t.setContourLevels&&t.setContourLevels();function g(t,r,n){var i=e.fullSceneLayout[t+\"axis\"];return\"log\"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==c){var m=y(e.glplot.cameraParams,h.dataCoordinate);t=c.data;var x,_=r._fullData[t.index],T=h.index,k={xLabel:g(\"x\",h.traceCoordinate[0],t.xhoverformat),yLabel:g(\"y\",h.traceCoordinate[1],t.yhoverformat),zLabel:g(\"z\",h.traceCoordinate[2],t.zhoverformat)},A=d.castHoverinfo(_,e.fullLayout,T),M=(A||\"\").split(\"+\"),S=A&&\"all\"===A;_.hovertemplate||S||(-1===M.indexOf(\"x\")&&(k.xLabel=void 0),-1===M.indexOf(\"y\")&&(k.yLabel=void 0),-1===M.indexOf(\"z\")&&(k.zLabel=void 0),-1===M.indexOf(\"text\")&&(h.textLabel=void 0),-1===M.indexOf(\"name\")&&(c.name=void 0));var E=[];\"cone\"===t.type||\"streamtube\"===t.type?(k.uLabel=g(\"x\",h.traceCoordinate[3],t.uhoverformat),(S||-1!==M.indexOf(\"u\"))&&E.push(\"u: \"+k.uLabel),k.vLabel=g(\"y\",h.traceCoordinate[4],t.vhoverformat),(S||-1!==M.indexOf(\"v\"))&&E.push(\"v: \"+k.vLabel),k.wLabel=g(\"z\",h.traceCoordinate[5],t.whoverformat),(S||-1!==M.indexOf(\"w\"))&&E.push(\"w: \"+k.wLabel),k.normLabel=h.traceCoordinate[6].toPrecision(3),(S||-1!==M.indexOf(\"norm\"))&&E.push(\"norm: \"+k.normLabel),\"streamtube\"===t.type&&(k.divergenceLabel=h.traceCoordinate[7].toPrecision(3),(S||-1!==M.indexOf(\"divergence\"))&&E.push(\"divergence: \"+k.divergenceLabel)),h.textLabel&&E.push(h.textLabel),x=E.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(k.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),E.push(\"value: \"+k.valueLabel),h.textLabel&&E.push(h.textLabel),x=E.join(\"<br>\")):x=h.textLabel;var L={x:h.traceCoordinate[0],y:h.traceCoordinate[1],z:h.traceCoordinate[2],data:_._input,fullData:_,curveNumber:_.index,pointNumber:T};d.appendArrayPointValue(L,_,T),t._module.eventData&&(L=_._module.eventData(L,h,_,{},T));var C={points:[L]};if(e.fullSceneLayout.hovermode){var P=[];d.loneHover({trace:_,x:(.5+.5*m[0]/m[3])*s,y:(.5-.5*m[1]/m[3])*l,xLabel:k.xLabel,yLabel:k.yLabel,zLabel:k.zLabel,text:x,name:c.name,color:d.castHoverOption(_,T,\"bgcolor\")||c.color,borderColor:d.castHoverOption(_,T,\"bordercolor\"),fontFamily:d.castHoverOption(_,T,\"font.family\"),fontSize:d.castHoverOption(_,T,\"font.size\"),fontColor:d.castHoverOption(_,T,\"font.color\"),nameLength:d.castHoverOption(_,T,\"namelength\"),textAlign:d.castHoverOption(_,T,\"align\"),hovertemplate:f.castOption(_,T,\"hovertemplate\"),hovertemplateLabels:f.extendFlat({},L,k),eventData:[L]},{container:n,gd:r,inOut_bbox:P}),L.bbox=P[0]}h.distance<5&&(h.buttons||w)?r.emit(\"plotly_click\",C):r.emit(\"plotly_hover\",C),this.oldEventData=C}else d.loneUnhover(n),this.oldEventData&&r.emit(\"plotly_unhover\",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)},k.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):f.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")};requestAnimationFrame(e)};var M=[\"xaxis\",\"yaxis\",\"zaxis\"];function S(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=M[i],o=a.charAt(0),s=n[a],l=e[o],u=e[o+\"calendar\"],c=e[\"_\"+o+\"length\"];if(f.isArrayOrTypedArray(l))for(var h,p=0;p<(c||l.length);p++)if(f.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)h=s.d2l(l[p][d],0,u),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else h=s.d2l(l[p],0,u),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],c-1)}}k.plot=function(t,e,r){var n=this;if(n.plotArgs=[t,e,r],!n.glplot.contextLost){var i,a,o,s,l,u,c=e[n.id],f=r[n.id];n.fullLayout=e,n.fullSceneLayout=c,n.axesOptions.merge(e,c),n.spikeOptions.merge(c),n.setViewport(c),n.updateFx(c.dragmode,c.hovermode),n.camera.enableWheel=n.graphDiv._context._scrollZoom.gl3d,n.glplot.setClearColor(v(c.bgcolor)),n.setConvert(l),t?Array.isArray(t)||(t=[t]):t=[];var h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(o=0;o<t.length;++o)!0===(i=t[o]).visible&&0!==i._length&&S(this,i,h);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=M[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var u=n[l];if(u.visible){var c=s.r2l(u[o]);!isNaN(c)&&isFinite(c)&&(e[0][i]=Math.min(e[0][i],c),e[1][i]=Math.max(e[1][i],c))}}}(this,h);var p=[1,1,1];for(s=0;s<3;++s)h[1][s]===h[0][s]?p[s]=1:p[s]=1/(h[1][s]-h[0][s]);for(n.dataScale=p,n.convertAnnotations(this),o=0;o<t.length;++o)!0===(i=t[o]).visible&&0!==i._length&&((a=n.traces[i.uid])?a.data.type===i.type?a.update(i):(a.dispose(),a=i._module.plot(this,i),n.traces[i.uid]=a):(a=i._module.plot(this,i),n.traces[i.uid]=a),a.name=i.name);var d=Object.keys(n.traces);t:for(o=0;o<d.length;++o){for(s=0;s<t.length;++s)if(t[s].uid===d[o]&&!0===t[s].visible&&0!==t[s]._length)continue t;(a=n.traces[d[o]]).dispose(),delete n.traces[d[o]]}n.glplot.objects.sort((function(t,e){return t._trace.data.index-e._trace.data.index}));var g,y=[[0,0,0],[0,0,0]],m=[],x={};for(o=0;o<3;++o){var b;if((u=(l=c[M[o]]).type)in x?(x[u].acc*=p[o],x[u].count+=1):x[u]={acc:p[o],count:1},l.autorange){y[0][o]=1/0,y[1][o]=-1/0;var w=n.glplot.objects,T=n.fullSceneLayout.annotations||[],k=l._name.charAt(0);for(s=0;s<w.length;s++){var 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n=r(7901),i=r(52075).hasColorscale,a=r(1586),o=r(71828).coercePattern;t.exports=function(t,e,r,s,l){var u=r(\"marker.color\",s),c=i(t,\"marker\");c&&a(t,e,l,r,{prefix:\"marker.\",cLetter:\"c\"}),r(\"marker.line.color\",n.defaultLine),i(t,\"marker.line\")&&a(t,e,l,r,{prefix:\"marker.line.\",cLetter:\"c\"}),r(\"marker.line.width\"),r(\"marker.opacity\"),o(r,\"marker.pattern\",u,c),r(\"selected.marker.color\"),r(\"unselected.marker.color\")}},72597:function(t,e,r){\"use strict\";var n=r(39898),i=r(71828);function a(t){return\"_\"+t+\"Text_minsize\"}t.exports={recordMinTextSize:function(t,e,r){if(r.uniformtext.mode){var n=a(t),i=r.uniformtext.minsize,o=e.scale*e.fontSize;e.hide=o<i,r[n]=r[n]||1/0,e.hide||(r[n]=Math.min(r[n],Math.max(o,i)))}},clearMinTextSize:function(t,e){e[a(t)]=void 0},resizeText:function(t,e,r){var a=t._fullLayout,o=a[\"_\"+r+\"Text_minsize\"];if(o){var 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r=t._fullLayout,o=e.subplot,l=r[o].radialaxis,u=r[o].angularaxis,c=l.makeCalcdata(e,\"r\"),f=u.makeCalcdata(e,\"theta\"),h=e._length,p=new Array(h),d=c,v=f,g=0;g<h;g++)p[g]={p:v[g],s:d[g]};function y(t){var r=e[t];void 0!==r&&(e[\"_\"+t]=Array.isArray(r)?u.makeCalcdata(e,t):u.d2c(r,e.thetaunit))}return\"linear\"===u.type&&(y(\"width\"),y(\"offset\")),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\"}),a(p,e),s(p,e),p},crossTraceCalc:function(t,e,r){for(var n=t.calcdata,i=[],a=0;a<n.length;a++){var s=n[a],c=s[0].trace;!0===c.visible&&l(c,\"bar\")&&c.subplot===r&&i.push(s)}var f=u({},e.radialaxis,{_id:\"x\"}),h=e.angularaxis;o(t,h,f,i,{mode:e.barmode,norm:e.barnorm,gap:e.bargap,groupgap:e.bargroupgap})}}},6135:function(t,e,r){\"use strict\";var n=r(71828),i=r(22184).handleRThetaDefaults,a=r(98340),o=r(55023);t.exports=function(t,e,r,s){function l(r,i){return n.coerce(t,e,o,r,i)}i(t,e,s,l)?(l(\"thetaunit\"),l(\"base\"),l(\"offset\"),l(\"width\"),l(\"text\"),l(\"hovertext\"),l(\"hovertemplate\"),a(t,e,l,r,s),n.coerceSelectionMarkerOpacity(e,l)):e.visible=!1}},27379:function(t,e,r){\"use strict\";var n=r(30211),i=r(71828),a=r(95423).getTraceColor,o=i.fillText,s=r(59150).makeHoverPointText,l=r(10869).isPtInsidePolygon;t.exports=function(t,e,r){var u=t.cd,c=u[0].trace,f=t.subplot,h=f.radialAxis,p=f.angularAxis,d=f.vangles,v=d?l:i.isPtInsideSector,g=t.maxHoverDistance,y=p._period||2*Math.PI,m=Math.abs(h.g2p(Math.sqrt(e*e+r*r))),x=Math.atan2(r,e);if(h.range[0]>h.range[1]&&(x+=Math.PI),n.getClosest(u,(function(t){return v(m,x,[t.rp0,t.rp1],[t.thetag0,t.thetag1],d)?g+Math.min(1,Math.abs(t.thetag1-t.thetag0)/y)-1+(t.rp1-m)/(t.rp1-t.rp0)-1:1/0}),t),!1!==t.index){var b=u[t.index];t.x0=t.x1=b.ct[0],t.y0=t.y1=b.ct[1];var _=i.extendFlat({},b,{r:b.s,theta:b.p});return o(b,c,t),s(_,c,f,t),t.hovertemplate=c.hovertemplate,t.color=a(c,b),t.xLabelVal=t.yLabelVal=void 0,b.s<0&&(t.idealAlign=\"left\"),[t]}}},23381:function(t,e,r){\"use strict\";t.exports={moduleType:\"trace\",name:\"barpolar\",basePlotModule:r(23580),categories:[\"polar\",\"bar\",\"showLegend\"],attributes:r(55023),layoutAttributes:r(40151),supplyDefaults:r(6135),supplyLayoutDefaults:r(19860),calc:r(74692).calc,crossTraceCalc:r(74692).crossTraceCalc,plot:r(60173),colorbar:r(4898),formatLabels:r(98608),style:r(16688).style,styleOnSelect:r(16688).styleOnSelect,hoverPoints:r(27379),selectPoints:r(81974),meta:{}}},40151:function(t){\"use strict\";t.exports={barmode:{valType:\"enumerated\",values:[\"stack\",\"overlay\"],dflt:\"stack\",editType:\"calc\"},bargap:{valType:\"number\",dflt:.1,min:0,max:1,editType:\"calc\"}}},19860:function(t,e,r){\"use strict\";var n=r(71828),i=r(40151);t.exports=function(t,e,r){var a,o={};function s(r,o){return n.coerce(t[a]||{},e[a],i,r,o)}for(var 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R,F,B,N,j,U,V=k+T,H=Boolean(C);if(\"positive\"===P?(M=w*(C?1:.5),R=V,S=R=k):\"negative\"===P?(M=R=k,S=w*(C?1:.5),F=V):(M=S=w,R=F=V),(E.boxpoints||E.points)&&v>0){var q=E.pointpos,G=E.jitter,Z=E.marker.size/2,Y=0;q+G>=0&&((Y=V*(q+G))>M?(H=!0,j=Z,B=Y):Y>R&&(j=Z,B=M)),Y<=M&&(B=M);var W=0;q-G<=0&&((W=-V*(q-G))>S?(H=!0,U=Z,N=W):W>F&&(U=Z,N=S)),W<=S&&(N=S)}else B=M,N=S;var X=new Array(u.length);for(l=0;l<u.length;l++)X[l]=u[l].pos;E._extremes[h]=n.findExtremes(o,X,{padded:H,vpadminus:N,vpadplus:B,vpadLinearized:!0,ppadminus:{x:U,y:j}[p],ppadplus:{x:j,y:U}[p]})}}}t.exports={crossTraceCalc:function(t,e){for(var r=t.calcdata,n=e.xaxis,i=e.yaxis,a=0;a<o.length;a++){for(var l=o[a],u=\"h\"===l?i:n,c=[],f=0;f<r.length;f++){var h=r[f],p=h[0].t,d=h[0].trace;!0!==d.visible||\"box\"!==d.type&&\"candlestick\"!==d.type||p.empty||(d.orientation||\"v\")!==l||d.xaxis!==n._id||d.yaxis!==i._id||c.push(f)}s(\"box\",t,c,u)}},setPositionOffset:s}},36411:function(t,e,r){\"use strict\";var n=r(71828),i=r(73972),a=r(7901),o=r(73927),s=r(26125),l=r(4322),u=r(53522);function c(t,e,r,a){function o(t){var e=0;return t&&t.length&&(e+=1,n.isArrayOrTypedArray(t[0])&&t[0].length&&(e+=1)),e}function s(e){return n.validate(t[e],u[e])}var c,f=r(\"y\"),h=r(\"x\");if(\"box\"===e.type){var p=r(\"q1\"),d=r(\"median\"),v=r(\"q3\");e._hasPreCompStats=p&&p.length&&d&&d.length&&v&&v.length,c=Math.min(n.minRowLength(p),n.minRowLength(d),n.minRowLength(v))}var g,y,m=o(f),x=o(h),b=m&&n.minRowLength(f),_=x&&n.minRowLength(h),w=a.calendar,T={autotypenumbers:a.autotypenumbers};if(e._hasPreCompStats)switch(String(x)+String(m)){case\"00\":var k=s(\"x0\")||s(\"dx\");g=!s(\"y0\")&&!s(\"dy\")||k?\"v\":\"h\",y=c;break;case\"10\":g=\"v\",y=Math.min(c,_);break;case\"20\":g=\"h\",y=Math.min(c,h.length);break;case\"01\":g=\"h\",y=Math.min(c,b);break;case\"02\":g=\"v\",y=Math.min(c,f.length);break;case\"12\":g=\"v\",y=Math.min(c,_,f.length);break;case\"21\":g=\"h\",y=Math.min(c,h.length,b);break;case\"11\":y=0;break;case\"22\":var A,M=!1;for(A=0;A<h.length;A++)if(\"category\"===l(h[A],w,T)){M=!0;break}if(M)g=\"v\",y=Math.min(c,_,f.length);else{for(A=0;A<f.length;A++)if(\"category\"===l(f[A],w,T)){M=!0;break}M?(g=\"h\",y=Math.min(c,h.length,b)):(g=\"v\",y=Math.min(c,_,f.length))}}else m>0?(g=\"v\",y=x>0?Math.min(_,b):Math.min(b)):x>0?(g=\"h\",y=Math.min(_)):y=0;if(y){e._length=y;var 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b=t.selectAll(\"path.box\").data(\"violin\"!==r.type||r.box.visible?i.identity:[]);b.enter().append(\"path\").style(\"vector-effect\",o?\"none\":\"non-scaling-stroke\").attr(\"class\",\"box\"),b.exit().remove(),b.each((function(t){if(t.empty)return n.select(this).attr(\"d\",\"M0,0Z\");var e=f.c2l(t.pos+p,!0),a=f.l2p(e-s)+v,o=f.l2p(e+l)+v,b=h?(a+o)/2:f.l2p(e)+v,_=r.whiskerwidth,w=h?a*_+(1-_)*b:f.l2p(e-d)+v,T=h?o*_+(1-_)*b:f.l2p(e+d)+v,k=f.l2p(e-s*x)+v,A=f.l2p(e+l*x)+v,M=\"sd\"===r.sizemode,S=c.c2p(M?t.mean-t.sd:t.q1,!0),E=M?c.c2p(t.mean+t.sd,!0):c.c2p(t.q3,!0),L=i.constrain(M?c.c2p(t.mean,!0):c.c2p(t.med,!0),Math.min(S,E)+1,Math.max(S,E)-1),C=void 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t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),k(D),E.exit().remove(),S.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var z=e._fullLayout.paper_bgcolor;M.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",f.makeTextShadow(z)).style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return d(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){u.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),S.append(\"text\").attr(\"class\",\"dimlabel\"),M.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){u.font(n.select(this),t.parcatsViewModel.labelfont)})),M.selectAll(\"rect.bandrect\").on(\"mouseover\",L).on(\"mouseout\",C),M.exit().remove(),A.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",P).on(\"drag\",O).on(\"dragend\",I)),h.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\")})),h.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function v(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function g(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){s.raiseToTop(this),w(n.select(this));var e=m(t),r=x(t);if(t.parcatsViewModel.graphDiv.emit(\"plotly_hover\",{points:e,event:n.event,constraints:r}),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")){var i,a,l,u=n.mouse(this)[0],f=t.parcatsViewModel.graphDiv,h=t.parcatsViewModel.trace,p=f._fullLayout,d=p._paperdiv.node().getBoundingClientRect(),v=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(l=0;l<t.leftXs.length-1;l++)if(t.leftXs[l]+t.dimWidths[l]-2<=u&&u<=t.leftXs[l+1]+2){var g=t.parcatsViewModel.dimensions[l],y=t.parcatsViewModel.dimensions[l+1];i=(g.x+g.width+y.x)/2,a=(t.topYs[l]+t.topYs[l+1]+t.height)/2;break}var b=t.parcatsViewModel.x+i,_=t.parcatsViewModel.y+a,T=c.mostReadable(t.model.color,[\"black\",\"white\"]),k=t.model.count,A=k/t.parcatsViewModel.model.count,M={countLabel:k,probabilityLabel:A.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&S.push([\"Count:\",M.countLabel].join(\" \")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&S.push([\"P:\",M.probabilityLabel].join(\" \"));var E=S.join(\"<br>\"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+v.left,y:_-d.top+v.top,text:E,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:T,idealAlign:L<b?\"right\":\"left\",hovertemplate:(h.line||{}).hovertemplate,hovertemplateLabels:M,eventData:[{data:h._input,fullData:h,count:k,probability:A}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:f})}}}function y(t){if(!t.parcatsViewModel.dragDimension&&(_(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(v),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=m(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function m(t){for(var e=[],r=D(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 x(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function b(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=m(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function _(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 w(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return c.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function T(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function k(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function A(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 M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each((function(t){A(t).each((function(t){Array.prototype.push.apply(l,m(t))}))}));var u={};u[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:u})}function S(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=A(i),l=[];s.each((function(t){Array.prototype.push.apply(l,m(t))}));var u={};u[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(u.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:u})}function E(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select(\"rect.catrect\"),u=l.node().getBoundingClientRect(),c=l.datum(),f=c.parcatsViewModel,h=f.model.dimensions[c.model.dimensionInd],p=f.trace,d=u.top+u.height/2;f.dimensions.length>1&&h.displayInd===f.dimensions.length-1?(i=u.left,a=\"left\"):(i=u.left+u.width,a=\"right\");var v=c.model.count,g=c.model.categoryLabel,y=v/c.parcatsViewModel.model.count,m={countLabel:v,categoryLabel:g,probabilityLabel:y.toFixed(3)},x=[];-1!==c.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&x.push([\"Count:\",m.countLabel].join(\" \")),-1!==c.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&x.push([\"P(\"+m.categoryLabel+\"):\",m.probabilityLabel].join(\" \"));var b=x.join(\"<br>\");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:b,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:12,fontColor:\"black\",idealAlign:a,hovertemplate:p.hovertemplate,hovertemplateLabels:m,eventData:[{data:p._input,fullData:p,count:v,category:g,probability:y}]}}function L(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,a=i._paperdiv.node().getBoundingClientRect(),l=t.parcatsViewModel.hoveron,u=this;\"color\"===l?(function(t){var e=n.select(t).datum(),r=A(e);w(r),r.each((function(){s.raiseToTop(this)})),n.select(t.parentNode).selectAll(\"rect.bandrect\").filter((function(t){return t.color===e.color})).each((function(){s.raiseToTop(this),n.select(this).attr(\"stroke\",\"black\").attr(\"stroke-width\",1.5)}))}(u),S(u,\"plotly_hover\",n.event)):(function(t){n.select(t.parentNode).selectAll(\"rect.bandrect\").each((function(t){var e=A(t);w(e),e.each((function(){s.raiseToTop(this)}))})),n.select(t.parentNode).select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}(u),M(u,\"plotly_hover\",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")&&(\"category\"===l?e=E(r,a,u):\"color\"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),u=n.select(r).datum(),f=u.categoryViewModel,h=f.parcatsViewModel,p=h.model.dimensions[f.model.dimensionInd],d=h.trace,v=l.y+l.height/2;h.dimensions.length>1&&p.displayInd===h.dimensions.length-1?(i=l.left,a=\"left\"):(i=l.left+l.width,a=\"right\");var g=f.model.categoryLabel,y=u.parcatsViewModel.model.count,m=0;u.categoryViewModel.bands.forEach((function(t){t.color===u.color&&(m+=t.count)}));var x=f.model.count,b=0;h.pathSelection.each((function(t){t.model.color===u.color&&(b+=t.model.count)}));var _=m/y,w=m/b,T=m/x,k={countLabel:y,categoryLabel:g,probabilityLabel:_.toFixed(3)},A=[];-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&A.push([\"Count:\",k.countLabel].join(\" \")),-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&(A.push(\"P(color ∩ \"+g+\"): \"+k.probabilityLabel),A.push(\"P(\"+g+\" | color): \"+w.toFixed(3)),A.push(\"P(color | \"+g+\"): \"+T.toFixed(3)));var M=A.join(\"<br>\"),S=c.mostReadable(u.color,[\"black\",\"white\"]);return{trace:d,x:o*(i-e.left),y:s*(v-e.top),text:M,color:u.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:g,count:y,probability:_,categorycount:x,colorcount:b,bandcolorcount:m}]}}(r,a,u):\"dimension\"===l&&(e=function(t,e,r){var i=[];return n.select(r.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each((function(){i.push(E(t,e,this))})),i}(r,a,u)),e&&o.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r}))}}function C(t){var e=t.parcatsViewModel;e.dragDimension||(_(e.pathSelection),T(e.dimensionSelection.selectAll(\"g.category\")),k(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(v),-1!==e.hoverinfoItems.indexOf(\"skip\"))||(\"color\"===t.parcatsViewModel.hoveron?S(this,\"plotly_unhover\",n.event):M(this,\"plotly_unhover\",n.event))}function P(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,s.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,o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function O(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,u=a.categories,c=u[l-1],f=u[l+1];void 0!==c&&s<c.y+c.height/2&&(o.model.displayInd=c.model.displayInd,c.model.displayInd=l),void 0!==f&&s+o.height>f.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragX<h.x+h.width&&(a.model.displayInd=h.model.displayInd,h.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}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),z(t.parcatsViewModel)}}function I(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=D(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.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 u=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),c=u.map((function(t){return t.categoryValue})),f=u.map((function(t){return t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[c],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[f],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?S(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):M(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,j(t.parcatsViewModel),N(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){R(t.parcatsViewModel,!0),z(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function D(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 z(t,e){var r;void 0===e&&(e=!1),t.pathSelection.data((function(t){return t.paths}),p),(r=t.pathSelection,e?r.transition():r).attr(\"d\",(function(t){return t.svgD}))}function R(t,e){function r(t){return e?t.transition():t}void 0===e&&(e=!1),t.dimensionSelection.data((function(t){return t.dimensions}),p);var i=t.dimensionSelection.selectAll(\"g.category\").data((function(t){return t.categories}),p);r(t.dimensionSelection).attr(\"transform\",(function(t){return l(t.x,0)})),r(i).attr(\"transform\",(function(t){return l(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 d(t)?\"start\":\"end\"})).attr(\"x\",(function(t){return d(t)?t.width+5:-5})).each((function(t){var e,r;d(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}),p),o=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})),k(o),a.each((function(){s.raiseToTop(this)})),a.exit().remove()}function F(t,e,r){var n,i=r[0],a=e.margin||{l:80,r:80,t:100,b:80},o=i.trace,s=o.domain,l=e.width,u=e.height,c=Math.floor(l*(s.x[1]-s.x[0])),f=Math.floor(u*(s.y[1]-s.y[0])),h=s.x[0]*l+a.l,p=e.height-s.y[1]*e.height+a.t,d=o.line.shape;n=\"all\"===o.hoverinfo?[\"count\",\"probability\"]:(o.hoverinfo||\"\").split(\"+\");var v={trace:o,key:o.uid,model:i,x:h,y:p,width:c,height:f,hoveron:o.hoveron,hoverinfoItems:n,arrangement:o.arrangement,bundlecolors:o.bundlecolors,sortpaths:o.sortpaths,labelfont:o.labelfont,categorylabelfont:o.tickfont,pathShape:d,dragDimension:null,margin:a,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};return i.dimensions&&(j(v),N(v)),v}function B(t,e,r,n,a){var o,s,l=[],u=[];for(s=0;s<r.length-1;s++)o=i(r[s]+t[s],t[s+1]),l.push(o(a)),u.push(o(1-a));var c=\"M \"+t[0]+\",\"+e[0];for(c+=\"l\"+r[0]+\",0 \",s=1;s<r.length;s++)c+=\"C\"+l[s-1]+\",\"+e[s-1]+\" \"+u[s-1]+\",\"+e[s]+\" \"+t[s]+\",\"+e[s],c+=\"l\"+r[s]+\",0 \";for(c+=\"l0,\"+n+\" \",c+=\"l -\"+r[r.length-1]+\",0 \",s=r.length-2;s>=0;s--)c+=\"C\"+u[s]+\",\"+(e[s+1]+n)+\" \"+l[s]+\",\"+(e[s]+n)+\" \"+(t[s]+r[s])+\",\"+(e[s]+n),c+=\"l-\"+r[s]+\",0 \";return c+\"Z\"}function N(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})),u=[];for(var c in r.paths)r.paths.hasOwnProperty(c)&&u.push(r.paths[c]);function f(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}u.sort((function(e,r){var n=f(e),i=f(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 h=new Array(u.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),v=0;v<u.length;v++){var g,y=u[v];g=p>0?d*(y.count/p):0;for(var m,x=new Array(n.length),b=0;b<y.categoryInds.length;b++){var 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n=r(50693),i=r(13838),a=r(41940),o=r(27670).Y,s=r(1426).extendFlat,l=r(44467).templatedArray;t.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:\"any\",editType:\"plot\"},{valType:\"any\",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\"})),unselected:{line:{color:{valType:\"color\",dflt:\"#7f7f7f\",editType:\"plot\"},opacity:{valType:\"number\",min:0,max:1,dflt:\"auto\",editType:\"plot\"},editType:\"plot\"},editType:\"plot\"}}},57920:function(t,e,r){\"use 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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,c);o(e,l,c),Array.isArray(v)&&v.length||(e.visible=!1),h(e,v,\"values\",g);var y={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(c,\"labelfont\",y),n.coerceFont(c,\"tickfont\",y),n.coerceFont(c,\"rangefont\",y),c(\"labelangle\"),c(\"labelside\"),c(\"unselected.line.color\"),c(\"unselected.line.opacity\")}},1602:function(t,e,r){\"use strict\";var n=r(71828).isTypedArray;e.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},e.isOrdinal=function(t){return!!t.tickvals},e.isVisible=function(t){return t.visible||!(\"visible\"in t)}},67618:function(t,e,r){\"use strict\";var n=r(71791);n.plot=r(21341),t.exports=n},83398:function(t,e,r){\"use strict\";var n=r(56068),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 float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\nuniform sampler2D maskTexture, palette;\\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(maskTexture,\\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=r(25706).maxDimensionCount,s=r(71828),l=1e-6,u=new Uint8Array(4),c=new Uint8Array(4),f={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function h(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 p(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 u=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],h(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*u,a.offset=2*l*n,e(a),l*n+u<i&&(r.currentRafs[o]=window.requestAnimationFrame((function(){s(l+1)}))),r.drawCompleted=!1)}(0)}function d(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}function v(t,e){return(t>>>8*e)%256/255}function g(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,u=r[64*a+l];63===l&&0===o&&(u*=-1),n[i++]=u}return n}function y(t){var e=\"0\"+t;return e.substr(e.length-2)}function m(t){return t<o?\"p\"+y(t+1)+\"_\"+y(t+4):\"colors\"}function x(t,e,r,n,i,a,o,l,u,c,f,h,p,d){for(var v=[[],[]],g=0;g<64;g++)v[0][g]=g===i?1:0,v[1][g]=g===a?1:0;o*=d,l*=d,u*=d,c*=d;var y=t.lines.canvasOverdrag*d,m=t.domain,x=t.canvasWidth*d,b=t.canvasHeight*d,_=t.pad.l*d,w=t.pad.b*d,T=t.layoutHeight*d,k=t.layoutWidth*d,A=t.deselectedLines.color,M=t.deselectedLines.opacity;return s.extendFlat({key:f,resolution:[x,b],viewBoxPos:[o+y,l],viewBoxSize:[u,c],i0:i,i1:a,dim0A:v[0].slice(0,16),dim0B:v[0].slice(16,32),dim0C:v[0].slice(32,48),dim0D:v[0].slice(48,64),dim1A:v[1].slice(0,16),dim1B:v[1].slice(16,32),dim1C:v[1].slice(32,48),dim1D:v[1].slice(48,64),drwLayer:h,contextColor:[A[0]/255,A[1]/255,A[2]/255,\"auto\"!==M?A[3]*M:Math.max(1/255,Math.pow(1/t.lines.color.length,1/3))],scissorX:(n===e?0:o+y)+(_-y)+k*m.x[0],scissorWidth:(n===r?x-o+y:u+.5)+(n===e?o+y:0),scissorY:l+w+T*m.y[0],scissorHeight:c,viewportX:_-y+k*m.x[0],viewportY:w+T*m.y[0],viewportWidth:x,viewportHeight:b},p)}function b(t){var e=2047,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)]}t.exports=function(t,e){var r,n,u,y,_,w=e.context,T=e.pick,k=e.regl,A=k._gl,M=A.getParameter(A.ALIASED_LINE_WIDTH_RANGE),S=Math.max(M[0],Math.min(M[1],e.viewModel.plotGlPixelRatio)),E={currentRafs:{},drawCompleted:!0,clearOnly:!1},L=function(t){for(var e={},r=0;r<=o;r+=4)e[m(r)]=t.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)});return e}(k),C=k.texture(f),P=[];I(e);var O=k({profile:!1,blend:{enable:w,func:{srcRGB:\"src alpha\",dstRGB:\"one minus src 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I(t){r=t.model,n=t.viewModel,u=n.dimensions.slice(),y=u[0]?u[0].values.length:0;var e=r.lines,i=T?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 u=0;u<o;u++)i[a++]=u<e.length?e[u].paddedUnitValues[s]:.5;i[a++]=v(s,2),i[a++]=v(s,1),i[a++]=v(s,0),i[a++]=(n=r[s],Math.max(l,Math.min(.999999,n)))}return i}(y,u,i);!function(t,e,r){for(var n=0;n<=o;n+=4)t[m(n)](g(n/4,e,r))}(L,y,a),w||T||(C=k.texture(s.extendFlat({data:d(r.unitToColor,255)},f)))}return{render:function(t,e,n){var i,a,o,s=t.length,l=1/0,c=-1/0;for(i=0;i<s;i++)t[i].dim0.canvasX<l&&(l=t[i].dim0.canvasX,a=i),t[i].dim1.canvasX>c&&(c=t[i].dim1.canvasX,o=i);0===s&&h(k,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=new Array(16384);for(e=0;e<16384;e++)o[e]=255;if(!t)for(e=0;e<u.length;e++){var s=e%8,l=(e-s)/8,c=Math.pow(2,s),f=u[e].brush.filter.get();if(!(f.length<2)){var h=b(f[0])[1];for(r=1;r<f.length;r++){var p=b(f[r]);for(n=h+1;n<p[0];n++)o[8*n+l]&=~c;h=Math.max(h,p[1])}}}var d={shape:[8,2048],format:\"alpha\",type:\"uint8\",mag:\"nearest\",min:\"nearest\",data:o};return _?_(d):_=k.texture(d),{maskTexture:_,maskHeight:2048,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 d=t[i],v=d.dim0.crossfilterDimensionIndex,g=d.dim1.crossfilterDimensionIndex,m=d.canvasX,A=d.canvasY,M=m+d.panelSizeX,S=d.plotGlPixelRatio;if(e||!P[v]||P[v][0]!==m||P[v][1]!==M){P[v]=[m,M];var L=x(r,a,o,i,v,g,m,A,d.panelSizeX,d.panelSizeY,d.dim0.crossfilterDimensionIndex,w?0:T?2:1,f,S);E.clearOnly=n;var C=e?r.lines.blockLineCount:y;p(k,O,E,C,y,L)}}},readPixel:function(t,e){return k.read({x:t,y:e,width:1,height:1,data:c}),c},readPixels:function(t,e,r,n){var i=new Uint8Array(4*r*n);return k.read({x:t,y:e,width:r,height:n,data:i}),i},destroy:function(){for(var e in t.style[\"pointer-events\"]=\"none\",C.destroy(),_&&_.destroy(),L)L[e].destroy()},update:I}}},94397:function(t){\"use strict\";t.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}},17171:function(t,e,r){\"use strict\";var n=r(39898),i=r(71828),a=i.numberFormat,o=r(36652),s=r(89298),l=i.strRotate,u=i.strTranslate,c=r(63893),f=r(91424),h=r(21081),p=r(28984),d=p.keyFun,v=p.repeat,g=p.unwrap,y=r(1602),m=r(25706),x=r(57920),b=r(83398);function _(t,e,r){return i.aggNums(t,null,e,r)}function w(t,e){return k(_(Math.min,t,e),_(Math.max,t,e))}function T(t){var e=t.range;return e?k(e[0],e[1]):w(t.values,t._length)}function k(t,e){return!isNaN(t)&&isFinite(t)||(t=0),!isNaN(e)&&isFinite(e)||(e=0),t===e&&(0===t?(t-=1,e+=1):(t*=.9,e*=1.1)),[t,e]}function A(t,e,r,i,o){var s,l,u=T(r);return i?n.scale.ordinal().domain(i.map((s=a(r.tickformat),l=o,l?function(t,e){var r=l[e];return null==r?s(t):r}:s))).range(i.map((function(r){var n=(r-u[0])/(u[1]-u[0]);return t-e+n*(2*e-t)}))):n.scale.linear().domain(u).range([t-e,e])}function M(t){if(t.tickvals){var e=T(t);return n.scale.ordinal().domain(t.tickvals).range(t.tickvals.map((function(t){return(t-e[0])/(e[1]-e[0])})))}}function S(t){var e=t.map((function(t){return t[0]})),r=t.map((function(t){var e=o(t[1]);return n.rgb(\"rgb(\"+e[0]+\",\"+e[1]+\",\"+e[2]+\")\")})),i=\"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 i.map((function(e){return e(t)}))}}function E(t){return t.dimensions.some((function(t){return t.brush.filterSpecified}))}function L(t,e,r){var a=g(e),s=a.trace,l=y.convertTypedArray(a.lineColor),u=s.line,c={color:o(s.unselected.line.color),opacity:s.unselected.line.opacity},f=h.extractOpts(u),p=f.reversescale?h.flipScale(a.cscale):a.cscale,d=s.domain,v=s.dimensions,x=t.width,b=s.labelangle,_=s.labelside,w=s.labelfont,k=s.tickfont,A=s.rangefont,M=i.extendDeepNoArrays({},u,{color:l.map(n.scale.linear().domain(T({values:l,range:[f.min,f.max],_length:s._length}))),blockLineCount:m.blockLineCount,canvasOverdrag:m.overdrag*m.canvasPixelRatio}),E=Math.floor(x*(d.x[1]-d.x[0])),L=Math.floor(t.height*(d.y[1]-d.y[0])),C=t.margin||{l:80,r:80,t:100,b:80},P=E,O=L;return{key:r,colCount:v.filter(y.isVisible).length,dimensions:v,tickDistance:m.tickDistance,unitToColor:S(p),lines:M,deselectedLines:c,labelAngle:b,labelSide:_,labelFont:w,tickFont:k,rangeFont:A,layoutWidth:x,layoutHeight:t.height,domain:d,translateX:d.x[0]*x,translateY:t.height-d.y[1]*t.height,pad:C,canvasWidth:P*m.canvasPixelRatio+2*M.canvasOverdrag,canvasHeight:O*m.canvasPixelRatio,width:P,height:O,canvasPixelRatio:m.canvasPixelRatio}}function C(t,e,r){var o=r.width,s=r.height,l=r.dimensions,u=r.canvasPixelRatio,c=function(t){return o*t/Math.max(1,r.colCount-1)},f=m.verticalPadding/s,h=function(t,e){return n.scale.linear().range([e,t-e])}(s,m.verticalPadding),p={key:r.key,xScale:c,model:r,inBrushDrag:!1},d={};return p.dimensions=l.filter(y.isVisible).map((function(o,l){var v=function(t,e){return n.scale.linear().domain(T(t)).range([e,1-e])}(o,f),g=d[o.label];d[o.label]=(g||0)+1;var b=o.label+(g?\"__\"+g:\"\"),_=o.constraintrange,w=_&&_.length;w&&!Array.isArray(_[0])&&(_=[_]);var k=w?_.map((function(t){return t.map(v)})):[[-1/0,1/0]],S=o.values;S.length>o._length&&(S=S.slice(0,o._length));var L,C=o.tickvals;function P(t,e){return{val:t,text:L[e]}}function O(t,e){return t.val-e.val}if(Array.isArray(C)&&C.length){L=o.ticktext,Array.isArray(L)&&L.length?L.length>C.length?L=L.slice(0,C.length):C.length>L.length&&(C=C.slice(0,L.length)):L=C.map(a(o.tickformat));for(var I=1;I<C.length;I++)if(C[I]<C[I-1]){for(var D=C.map(P).sort(O),z=0;z<C.length;z++)C[z]=D[z].val,L[z]=D[z].text;break}}else C=void 0;return S=y.convertTypedArray(S),{key:b,label:o.label,tickFormat:o.tickformat,tickvals:C,ticktext:L,ordinal:y.isOrdinal(o),multiselect:o.multiselect,xIndex:l,crossfilterDimensionIndex:l,visibleIndex:o._index,height:s,values:S,paddedUnitValues:S.map(v),unitTickvals:C&&C.map(v),xScale:c,x:c(l),canvasX:c(l)*u,unitToPaddedPx:h,domainScale:A(s,m.verticalPadding,o,C,L),ordinalScale:M(o),parent:p,model:r,brush:x.makeBrush(t,w,k,(function(){t.linePickActive(!1)}),(function(){var e=p;e.focusLayer&&e.focusLayer.render(e.panels,!0);var r=E(e);!t.contextShown()&&r?(e.contextLayer&&e.contextLayer.render(e.panels,!0),t.contextShown(!0)):t.contextShown()&&!r&&(e.contextLayer&&e.contextLayer.render(e.panels,!0,!0),t.contextShown(!1))}),(function(r){if(p.focusLayer.render(p.panels,!0),p.pickLayer&&p.pickLayer.render(p.panels,!0),t.linePickActive(!0),e&&e.filterChanged){var n=v.invert,a=r.map((function(t){return t.map(n).sort(i.sorterAsc)})).sort((function(t,e){return t[0]-e[0]}));e.filterChanged(p.key,o._index,a)}}))}})),p}function P(t){t.classed(m.cn.axisExtentText,!0).attr(\"text-anchor\",\"middle\").style(\"cursor\",\"default\")}function O(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 I(t,e,r){for(var n=e.panels||(e.panels=[]),i=t.data(),a=0;a<i.length-1;a++){var o=n[a]||(n[a]={}),s=i[a],l=i[a+1];o.dim0=s,o.dim1=l,o.canvasX=s.canvasX,o.panelSizeX=l.canvasX-s.canvasX,o.panelSizeY=e.model.canvasHeight,o.y=0,o.canvasY=0,o.plotGlPixelRatio=r}}function D(t,e){return s.tickText(t._ax,e,!1).text}function z(t,e){if(t.ordinal)return\"\";var r=t.domainScale.domain(),n=r[e?r.length-1:0];return D(t.model.dimensions[t.visibleIndex],n)}t.exports=function(t,e,r,a){var o=t._context.staticPlot,h=t._fullLayout,p=h._toppaper,_=h._glcontainer,T=t._context.plotGlPixelRatio,A=t._fullLayout.paper_bgcolor;!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,a=0;a<i.length;a++){var o=i[a].values,l=i[a]._ax;l&&(l.range?l.range=k(l.range[0],l.range[1]):l.range=w(o,n._length),l.dtick||(l.dtick=.01*(Math.abs(l.range[1]-l.range[0])||1)),l.tickformat=i[a].tickformat,s.calcTicks(l),l.cleanRange())}}(e);var M,S,R=(M=!0,S=!1,{linePickActive:function(t){return arguments.length?M=!!t:M},contextShown:function(t){return arguments.length?S=!!t:S}}),F=e.filter((function(t){return g(t).trace.visible})).map(L.bind(0,r)).map(C.bind(0,R,a));_.each((function(t,e){return i.extendFlat(t,F[e])}));var B=_.selectAll(\".gl-canvas\").each((function(t){t.viewModel=F[0],t.viewModel.plotGlPixelRatio=T,t.viewModel.paperColor=A,t.model=t.viewModel?t.viewModel.model:null})),N=null;B.filter((function(t){return t.pick})).style(\"pointer-events\",o?\"none\":\"auto\").on(\"mousemove\",(function(t){if(R.linePickActive()&&t.lineLayer&&a&&a.hover){var e=n.event,r=this.width,i=this.height,o=n.mouse(this),s=o[0],l=o[1];if(s<0||l<0||s>=r||l>=i)return;var u=t.lineLayer.readPixel(s,i-1-l),c=0!==u[3],f=c?u[2]+256*(u[1]+256*u[0]):null,h={x:s,y:l,clientX:e.clientX,clientY:e.clientY,dataIndex:t.model.key,curveNumber:f};f!==N&&(c?a.hover(h):a.unhover&&a.unhover(h),N=f)}})),B.style(\"opacity\",(function(t){return t.pick?0:1})),p.style(\"background\",\"rgba(255, 255, 255, 0)\");var j=p.selectAll(\".\"+m.cn.parcoords).data(F,d);j.exit().remove(),j.enter().append(\"g\").classed(m.cn.parcoords,!0).style(\"shape-rendering\",\"crispEdges\").style(\"pointer-events\",\"none\"),j.attr(\"transform\",(function(t){return u(t.model.translateX,t.model.translateY)}));var U=j.selectAll(\".\"+m.cn.parcoordsControlView).data(v,d);U.enter().append(\"g\").classed(m.cn.parcoordsControlView,!0),U.attr(\"transform\",(function(t){return u(t.model.pad.l,t.model.pad.t)}));var V=U.selectAll(\".\"+m.cn.yAxis).data((function(t){return 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e=t.model.height/t.model.tickDistance,r=t.domainScale,i=r.domain();n.select(this).call(n.svg.axis().orient(\"left\").tickSize(4).outerTickSize(2).ticks(e,t.tickFormat).tickValues(t.ordinal?i:null).tickFormat((function(e){return y.isOrdinal(t)?e:D(t.model.dimensions[t.visibleIndex],e)})).scale(r)),f.font(q.selectAll(\"text\"),t.model.tickFont)})),q.selectAll(\".domain, .tick>line\").attr(\"fill\",\"none\").attr(\"stroke\",\"black\").attr(\"stroke-opacity\",.25).attr(\"stroke-width\",\"1px\"),q.selectAll(\"text\").style(\"text-shadow\",c.makeTextShadow(A)).style(\"cursor\",\"default\");var G=H.selectAll(\".\"+m.cn.axisHeading).data(v,d);G.enter().append(\"g\").classed(m.cn.axisHeading,!0);var Z=G.selectAll(\".\"+m.cn.axisTitle).data(v,d);Z.enter().append(\"text\").classed(m.cn.axisTitle,!0).attr(\"text-anchor\",\"middle\").style(\"cursor\",\"ew-resize\").style(\"pointer-events\",o?\"none\":\"auto\"),Z.text((function(t){return t.label})).each((function(e){var 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J=Y.selectAll(\".\"+m.cn.axisExtentBottom).data(v,d);J.enter().append(\"g\").classed(m.cn.axisExtentBottom,!0),J.attr(\"transform\",(function(t){return u(0,t.model.height+m.axisExtentOffset)}));var K=J.selectAll(\".\"+m.cn.axisExtentBottomText).data(v,d);K.enter().append(\"text\").classed(m.cn.axisExtentBottomText,!0).attr(\"dy\",\"0.75em\").call(P),K.text((function(t){return z(t,!1)})).each((function(t){f.font(n.select(this),t.model.rangeFont)})),x.ensureAxisBrush(H,A,t)}},21341:function(t,e,r){\"use strict\";var n=r(17171),i=r(79749),a=r(1602).isVisible,o={};function s(t,e,r){var n=e.indexOf(r),i=t.indexOf(n);return-1===i&&(i+=e.length),i}(t.exports=function(t,e){var r=t._fullLayout;if(i(t,[],o)){var l={},u={},c={},f={},h=r._size;e.forEach((function(e,r){var n=e[0].trace;c[r]=n.index;var i=f[r]=n._fullInput.index;l[r]=t.data[i].dimensions,u[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=u[e][n],o=i.map((function(t){return t.slice()})),s=\"dimensions[\"+n+\"].constraintrange\",l=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===l[s]){var h=a.constraintrange;l[s]=h||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,[f[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 s(t,e,r)-s(t,e,n)}}(r,u[e].filter(a));l[e].sort(n),u[e].filter((function(t){return!a(t)})).sort((function(t){return u[e].indexOf(t)})).forEach((function(t){l[e].splice(l[e].indexOf(t),1),l[e].splice(u[e].indexOf(t),0,t)})),t.emit(\"plotly_restyle\",[{dimensions:[l[e]]},[f[e]]])}})}}).reglPrecompiled=o},34e3:function(t,e,r){\"use strict\";var n=r(9012),i=r(27670).Y,a=r(41940),o=r(22399),s=r(5386).fF,l=r(5386).si,u=r(1426).extendFlat,c=r(79952).u,f=a({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});t.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\"},pattern:c,editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},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:u({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:u({},f,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:u({},f,{}),outsidetextfont:u({},f,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:u({},f,{}),position:{valType:\"enumerated\",values:[\"top 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n=r(74875);e.name=\"pie\",e.plot=function(t,r,i,a){n.plotBasePlot(e.name,t,r,i,a)},e.clean=function(t,r,i,a){n.cleanBasePlot(e.name,t,r,i,a)}},32354:function(t,e,r){\"use strict\";var n=r(92770),i=r(84267),a=r(7901),o={};function s(t){return function(e,r){return!!e&&!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e)}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r<t.length;r++)a.push(i(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)a.push(i(t[r]).darken(20).toHexString());e[n]=a}return a}t.exports={calc:function(t,e){var r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],u=e.labels,c=e.marker.colors||[],f=e.values,h=e._length,p=e._hasValues&&h;if(e.dlabel)for(u=new Array(h),r=0;r<h;r++)u[r]=String(e.label0+r*e.dlabel);var d={},v=s(o[\"_\"+e.type+\"colormap\"]),g=0,y=!1;for(r=0;r<h;r++){var m,x,b;if(p){if(m=f[r],!n(m))continue;m=+m}else m=1;void 0!==(x=u[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=a.length,(b=-1!==l.indexOf(x))||(g+=m),a.push({v:m,label:x,color:v(c[r],x),i:r,pts:[r],hidden:b})):(y=!0,(i=a[_]).v+=m,i.pts.push(r),i.hidden||(g+=m),!1===i.color&&c[r]&&(i.color=v(c[r],x)))}return a=a.filter((function(t){return t.v>=0})),(\"funnelarea\"===e.type?y:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var u=0,c=0;c<i.length;c++){var f=i[c];if(f[0].trace.type===r)for(var h=0;h<f.length;h++){var p=f[h];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=a[u%a.length],u++))}}},makePullColorFn:s,generateExtendedColors:l}},37434:function(t,e,r){\"use strict\";var n=r(92770),i=r(71828),a=r(34e3),o=r(27670).c,s=r(90769).handleText,l=r(71828).coercePattern;function u(t,e){var r=Array.isArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var u=e[l];if(n(u)&&u>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}function c(t,e,r,n,i){n(\"marker.line.width\")&&n(\"marker.line.color\",i?void 0:r.paper_bgcolor);var a=n(\"marker.colors\");l(n,\"marker.pattern\",a),t.marker&&!e.marker.pattern.fgcolor&&(e.marker.pattern.fgcolor=t.marker.colors),e.marker.pattern.bgcolor||(e.marker.pattern.bgcolor=r.paper_bgcolor)}t.exports={handleLabelsAndValues:u,handleMarkerDefaults:c,supplyDefaults:function(t,e,r,n){function l(r,n){return i.coerce(t,e,a,r,n)}var f=u(l(\"labels\"),l(\"values\")),h=f.len;if(e._hasLabels=f.hasLabels,e._hasValues=f.hasValues,!e._hasLabels&&e._hasValues&&(l(\"label0\"),l(\"dlabel\")),h){e._length=h,c(t,e,n,l,!0),l(\"scalegroup\");var p,d=l(\"text\"),v=l(\"texttemplate\");if(v||(p=l(\"textinfo\",Array.isArray(d)?\"text+percent\":\"percent\")),l(\"hovertext\"),l(\"hovertemplate\"),v||p&&\"none\"!==p){var g=l(\"textposition\");s(t,e,n,l,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&l(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&l(\"insidetextorientation\")}o(e,n,l);var y=l(\"hole\");if(l(\"title.text\")){var m=l(\"title.position\",y?\"middle center\":\"top center\");y||\"middle center\"!==m||(e.title.position=\"top center\"),i.coerceFont(l,\"title.font\",n.font)}l(\"sort\"),l(\"direction\"),l(\"rotation\"),l(\"pull\")}else e.visible=!1}}},20007:function(t,e,r){\"use strict\";var n=r(23469).appendArrayMultiPointValues;t.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,bbox:t.bbox,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}},22209:function(t,e,r){\"use strict\";var n=r(91424),i=r(7901);t.exports=function(t,e,r,a){var o=r.marker.pattern;o&&o.shape?n.pointStyle(t,r,a,e):i.fill(t,e.color)}},53581:function(t,e,r){\"use strict\";var n=r(71828);function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}e.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},e.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},e.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||\"\"===n)return n}},e.castOption=function(t,r){return Array.isArray(t)?e.getFirstFilled(t,r):t||void 0},e.getRotationAngle=function(t){return(\"auto\"===t?0:t)*Math.PI/180}},58810:function(t,e,r){\"use strict\";t.exports={attributes:r(34e3),supplyDefaults:r(37434).supplyDefaults,supplyLayoutDefaults:r(92097),layoutAttributes:r(92774),calc:r(32354).calc,crossTraceCalc:r(32354).crossTraceCalc,plot:r(14575).plot,style:r(68357),styleOne:r(63463),moduleType:\"trace\",name:\"pie\",basePlotModule:r(13584),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},92774:function(t){\"use strict\";t.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},92097:function(t,e,r){\"use strict\";var n=r(71828),i=r(92774);t.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},14575:function(t,e,r){\"use strict\";var n=r(39898),i=r(74875),a=r(30211),o=r(7901),s=r(91424),l=r(71828),u=l.strScale,c=l.strTranslate,f=r(63893),h=r(72597),p=h.recordMinTextSize,d=h.clearMinTextSize,v=r(97313).TEXTPAD,g=r(53581),y=r(20007),m=r(71828).isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,u=i.trace,c=\"funnelarea\"===u.type;\"_hasHoverLabel\"in u||(u._hasHoverLabel=!1),\"_hasHoverEvent\"in u||(u._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,f=e._fullData[u.index];if(!e._dragging&&!1!==r.hovermode){var h=f.hoverinfo;if(Array.isArray(h)&&(h=a.castHoverinfo({hoverinfo:[g.castOption(h,t.pts)],_module:u._module},r,0)),\"all\"===h&&(h=\"label+text+value+percent+name\"),f.hovertemplate||\"none\"!==h&&\"skip\"!==h&&h){var p=t.rInscribed||0,d=o+t.pxmid[0]*(1-p),v=s+t.pxmid[1]*(1-p),m=r.separators,x=[];if(h&&-1!==h.indexOf(\"label\")&&x.push(t.label),t.text=g.castOption(f.hovertext||f.text,t.pts),h&&-1!==h.indexOf(\"text\")){var b=t.text;l.isValidTextValue(b)&&x.push(b)}t.value=t.v,t.valueLabel=g.formatPieValue(t.v,m),h&&-1!==h.indexOf(\"value\")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,m),h&&-1!==h.indexOf(\"percent\")&&x.push(t.percentLabel);var _=f.hoverlabel,w=_.font,T=[];a.loneHover({trace:u,x0:d-p*i.r,x1:d+p*i.r,y:v,_x0:c?o+t.TL[0]:d-p*i.r,_x1:c?o+t.TR[0]:d+p*i.r,_y0:c?s+t.TL[1]:v-p*i.r,_y1:c?s+t.BL[1]:v+p*i.r,text:x.join(\"<br>\"),name:f.hovertemplate||-1!==h.indexOf(\"name\")?f.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:g.castOption(_.bgcolor,t.pts)||t.color,borderColor:g.castOption(_.bordercolor,t.pts),fontFamily:g.castOption(w.family,t.pts),fontSize:g.castOption(w.size,t.pts),fontColor:g.castOption(w.color,t.pts),nameLength:g.castOption(_.namelength,t.pts),textAlign:g.castOption(_.align,t.pts),hovertemplate:g.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[y(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],u._hasHoverLabel=!0}u._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[y(t,f)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[u.index],o=n.select(this).datum();u._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[y(o,i)],event:n.event}),u._hasHoverEvent=!1),u._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),u._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[u.index];e._dragging||!1===r.hovermode||(e._hoverdata=[y(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(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=l.templateString(a,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(a).call(s.font,n.title.font).call(f.convertToTspans,e),u=s.bBox(o.node(),!0);r.titleBox={width:u.width,height:u.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,u=e.midangle,c=r.trace.insidetextorientation,f=\"horizontal\"===c,h=\"tangential\"===c,p=\"radial\"===c,d=\"auto\"===c,v=[];if(!d){var g,y=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),u=s<l?s:l;(a=\"tan\"===i?k(t,n,o,u,0):T(t,n,o,u,Math.PI/2)).textPosAngle=r,v.push(a)}};if(f||h){for(g=4;g>=-4;g-=2)y(Math.PI*g,\"tan\");for(g=4;g>=-4;g-=2)y(Math.PI*(g+1),\"tan\")}if(f||p){for(g=4;g>=-4;g-=2)y(Math.PI*(g+1.5),\"rad\");for(g=4;g>=-4;g-=2)y(Math.PI*(g+.5),\"rad\")}}if(s||d||f){var m=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/m,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;v.push(a)}(d||p)&&((a=T(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a)),(d||h)&&((a=k(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a));for(var x=0,b=0,_=0;_<v.length;_++){var w=v[_].scale;if(b<w&&(b=w,x=_),!d&&b>=1)break}return v[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*v);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*v);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(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 C(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=O(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,u=t.r/(void 0===(l=t.trace.aspectratio)?1:l),c=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(c+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?c*=2:-1!==a.title.position.indexOf(\"right\")&&(c+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=c/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(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 O(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 I(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-=P(i,e));var u=s/2,c=l/2;\"funnelarea\"!==a.type||a.scalegroup||(c/=a.aspectratio),i.r=Math.min(u,c)/(1+O(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-=P(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((i=(r=t[n][0]).trace).scalegroup===s){var l;if(\"pie\"===i.type)l=r.r*r.r;else if(\"funnelarea\"===i.type){var u,c;i.aspectratio>1?c=(u=r.r)/i.aspectratio:u=(c=r.r)*i.aspectratio,l=(u*=(1+i.baseratio)/2)*c}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var f=o*r.vTotal;\"funnelarea\"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function D(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function z(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&\"none\"!==o){var s,u=o.split(\"+\"),c=function(t){return-1!==u.indexOf(t)},f=c(\"label\"),h=c(\"text\"),p=c(\"value\"),d=c(\"percent\"),v=n.separators;if(s=f?[e.label]:[],h){var y=g.getFirstFilled(i.text,e.pts);m(y)&&s.push(y)}p&&s.push(g.formatPieValue(e.v,v)),d&&s.push(g.formatPiePercent(e.v/r.vTotal,v)),e.text=s.join(\"<br>\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),_=g.getFirstFilled(i.text,e.pts);(m(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=\"\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}t.exports={plot:function(t,e){var r=t._context.staticPlot,a=t._fullLayout,h=a._size;d(\"pie\",a),_(e,t),I(e,h);var v=l.makeTraceGroups(a._pielayer,e,\"trace\").each((function(e){var d=n.select(this),v=e[0],y=v.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,u=\"px0\",c=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,u=\"px1\",c=\"px0\"}for(n=D(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[u]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=D(a,s),r.midangle=s,n=D(a,s+=l*r.v/2),r.stopangle=s,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-o.hole,r.rInscribed=E(r,i))}(e),d.attr(\"stroke-linejoin\",\"round\"),d.each((function(){var m=n.select(this).selectAll(\"g.slice\").data(e);m.enter().append(\"g\").classed(\"slice\",!0),m.exit().remove();var _=[[[],[]],[[],[]]],T=!1;m.each((function(i,o){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=y.index,_[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var u=v.cx,c=v.cy,h=n.select(this),d=h.selectAll(\"path.surface\").data([i]);if(d.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":r?\"none\":\"all\"}),h.call(x,t,e),y.pull){var m=+g.castOption(y.pull,i.pts)||0;m>0&&(u+=m*i.pxmid[0],c+=m*i.pxmid[1])}i.cxFinal=u,i.cyFinal=c;var k=y.hole;if(i.v===v.vTotal){var A=\"M\"+(u+i.px0[0])+\",\"+(c+i.px0[1])+P(i.px0,i.pxmid,!0,1)+P(i.pxmid,i.px0,!0,1)+\"Z\";k?d.attr(\"d\",\"M\"+(u+k*i.px0[0])+\",\"+(c+k*i.px0[1])+P(i.px0,i.pxmid,!1,k)+P(i.pxmid,i.px0,!1,k)+\"Z\"+A):d.attr(\"d\",A)}else{var M=P(i.px0,i.px1,!0,1);if(k){var S=1-k;d.attr(\"d\",\"M\"+(u+k*i.px1[0])+\",\"+(c+k*i.px1[1])+P(i.px1,i.px0,!1,k)+\"l\"+S*i.px0[0]+\",\"+S*i.px0[1]+M+\"Z\")}else d.attr(\"d\",\"M\"+u+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+M+\"Z\")}z(t,i,v);var E=g.castOption(y.textposition,i.pts),C=h.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==E?[0]:[]);C.enter().append(\"g\").classed(\"slicetext\",!0),C.exit().remove(),C.each((function(){var r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=l.ensureUniformFontSize(t,\"outside\"===E?function(t,e,r){return{color:g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,family:g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,size:g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size}}(y,i,a.font):b(y,i,a.font));r.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var d,m=s.bBox(r.node());if(\"outside\"===E)d=L(m,i);else if(d=w(m,i,v),\"auto\"===E&&d.scale<1){var x=l.ensureUniformFontSize(t,y.outsidetextfont);r.call(s.font,x),d=L(m=s.bBox(r.node()),i)}var _=d.textPosAngle,k=void 0===_?i.pxmid:D(v.r,_);if(d.targetX=u+k[0]*d.rCenter+(d.x||0),d.targetY=c+k[1]*d.rCenter+(d.y||0),R(d,m),d.outside){var A=d.targetY;i.yLabelMin=A-m.height/2,i.yLabelMid=A,i.yLabelMax=A+m.height/2,i.labelExtraX=0,i.labelExtraY=0,T=!0}d.fontSize=h.size,p(y.type,d,a),e[o].transform=d,l.setTransormAndDisplay(r,d)}))}function P(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*v.r+\",\"+n*v.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var k=n.select(this).selectAll(\"g.titletext\").data(y.title.text?[0]:[]);if(k.enter().append(\"g\").classed(\"titletext\",!0),k.exit().remove(),k.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=y.title.text;y._meta&&(i=l.templateString(i,y._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,y.title.font).call(f.convertToTspans,t),e=\"middle center\"===y.title.position?function(t){var 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t.link.label===i})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),r&&h(e,t).selectAll(u.sankeyNode).filter(g(t)).call(m)}function _(t,e){var r=t.hoverlabel||{},n=i.nestedProperty(r,e).get();return!Array.isArray(n)&&n}t.exports=function(t,e){for(var r=t._fullLayout,i=r._paper,h=r._size,v=0;v<t._fullData.length;v++)if(t._fullData[v].visible&&t._fullData[v].type===u.sankey&&!t._fullData[v]._viewInitial){var g=t._fullData[v].node;t._fullData[v]._viewInitial={node:{groups:g.groups.slice(),x:g.x.slice(),y:g.y.slice()}}}var w=c(t,\"source:\")+\" \",T=c(t,\"target:\")+\" \",k=c(t,\"concentration:\")+\" \",A=c(t,\"incoming flow count:\")+\" \",M=c(t,\"outgoing flow count:\")+\" \";o(t,i,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{linkEvents:{hover:function(e,r,i){!1!==t._fullLayout.hovermode&&(n.select(e).call(x.bind(0,r,i,!0)),\"skip\"!==r.link.trace.link.hoverinfo&&(r.link.fullData=r.link.trace,t.emit(\"plotly_hover\",{event:n.event,points:[r.link]})))},follow:function(e,i){if(!1!==t._fullLayout.hovermode){var o=i.link.trace.link;if(\"none\"!==o.hoverinfo&&\"skip\"!==o.hoverinfo){for(var u=[],c=0,h=0;h<i.flow.links.length;h++){var v=i.flow.links[h];if(\"closest\"!==t._fullLayout.hovermode||i.link.pointNumber===v.pointNumber){i.link.pointNumber===v.pointNumber&&(c=h),v.fullData=v.trace,o=i.link.trace.link;var g=m(v),y={valueLabel:a(i.valueFormat)(v.value)+i.valueSuffix};u.push({x:g[0],y:g[1],name:y.valueLabel,text:[v.label||\"\",w+v.source.label,T+v.target.label,v.concentrationscale?k+a(\"%0.2f\")(v.flow.labelConcentration):\"\"].filter(f).join(\"<br>\"),color:_(o,\"bgcolor\")||l.addOpacity(v.color,1),borderColor:_(o,\"bordercolor\"),fontFamily:_(o,\"font.family\"),fontSize:_(o,\"font.size\"),fontColor:_(o,\"font.color\"),nameLength:_(o,\"namelength\"),textAlign:_(o,\"align\"),idealAlign:n.event.x<g[0]?\"right\":\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:y,eventData:[v]})}}s.loneHover(u,{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t,anchorIndex:c}).each((function(){i.link.concentrationscale||p(this,.65),d(this)}))}}function m(t){var e,r;t.circular?(e=(t.circularPathData.leftInnerExtent+t.circularPathData.rightInnerExtent)/2,r=t.circularPathData.verticalFullExtent):(e=(t.source.x1+t.target.x0)/2,r=(t.y0+t.y1)/2);var n=[e,r];return\"v\"===t.trace.orientation&&n.reverse(),n[0]+=i.parent.translateX,n[1]+=i.parent.translateY,n}},unhover:function(e,i,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(b.bind(0,i,a,!0)),\"skip\"!==i.link.trace.link.hoverinfo&&(i.link.fullData=i.link.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[i.link]})),s.loneUnhover(r._hoverlayer.node()))},select:function(e,r){var i=r.link;i.originalEvent=n.event,t._hoverdata=[i],s.click(t,{target:!0})}},nodeEvents:{hover:function(e,r,i){!1!==t._fullLayout.hovermode&&(n.select(e).call(y,r,i),\"skip\"!==r.node.trace.node.hoverinfo&&(r.node.fullData=r.node.trace,t.emit(\"plotly_hover\",{event:n.event,points:[r.node]})))},follow:function(e,i){if(!1!==t._fullLayout.hovermode){var o=i.node.trace.node;if(\"none\"!==o.hoverinfo&&\"skip\"!==o.hoverinfo){var l=n.select(e).select(\".\"+u.nodeRect),c=t._fullLayout._paperdiv.node().getBoundingClientRect(),h=l.node().getBoundingClientRect(),v=h.left-2-c.left,g=h.right+2-c.left,y=h.top+h.height/4-c.top,m={valueLabel:a(i.valueFormat)(i.node.value)+i.valueSuffix};i.node.fullData=i.node.trace,t._fullLayout._calcInverseTransform(t);var x=t._fullLayout._invScaleX,b=t._fullLayout._invScaleY,w=s.loneHover({x0:x*v,x1:x*g,y:b*y,name:a(i.valueFormat)(i.node.value)+i.valueSuffix,text:[i.node.label,A+i.node.targetLinks.length,M+i.node.sourceLinks.length].filter(f).join(\"<br>\"),color:_(o,\"bgcolor\")||i.tinyColorHue,borderColor:_(o,\"bordercolor\"),fontFamily:_(o,\"font.family\"),fontSize:_(o,\"font.size\"),fontColor:_(o,\"font.color\"),nameLength:_(o,\"namelength\"),textAlign:_(o,\"align\"),idealAlign:\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:m,eventData:[i.node]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t});p(w,.85),d(w)}}},unhover:function(e,i,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(m,i,a),\"skip\"!==i.node.trace.node.hoverinfo&&(i.node.fullData=i.node.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[i.node]})),s.loneUnhover(r._hoverlayer.node()))},select:function(e,r,i){var a=r.node;a.originalEvent=n.event,t._hoverdata=[a],n.select(e).call(m,r,i),s.click(t,{target:!0})}}})}},3393:function(t,e,r){\"use strict\";var n=r(49887),i=r(81684).k4,a=r(39898),o=r(30838),s=r(86781),l=r(85247),u=r(84267),c=r(7901),f=r(91424),h=r(71828),p=h.strTranslate,d=h.strRotate,v=r(28984),g=v.keyFun,y=v.repeat,m=v.unwrap,x=r(63893),b=r(73972),_=r(18783),w=_.CAP_SHIFT,T=_.LINE_SPACING;function k(t,e,r){var n,i=m(e),a=i.trace,c=a.domain,f=\"h\"===a.orientation,p=a.node.pad,d=a.node.thickness,v=t.width*(c.x[1]-c.x[0]),g=t.height*(c.y[1]-c.y[0]),y=i._nodes,x=i._links,b=i.circular;(n=b?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[v,g]:[g,v]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodes(y).links(x);var _,w,T,k=n();for(var A in n.nodePadding()<p&&h.warn(\"node.pad was reduced to \",n.nodePadding(),\" to fit within the figure.\"),i._groupLookup){var M,S=parseInt(i._groupLookup[A]);for(_=0;_<k.nodes.length;_++)if(k.nodes[_].pointNumber===S){M=k.nodes[_];break}if(M){var E={pointNumber:parseInt(A),x0:M.x0,x1:M.x1,y0:M.y0,y1:M.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};k.nodes.unshift(E),M.childrenNodes.unshift(E)}}if(function(){for(_=0;_<k.nodes.length;_++){var t,e,r=k.nodes[_],n={};for(w=0;w<r.targetLinks.length;w++)t=(e=r.targetLinks[w]).source.pointNumber+\":\"+e.target.pointNumber,n.hasOwnProperty(t)||(n[t]=[]),n[t].push(e);var i=Object.keys(n);for(w=0;w<i.length;w++){var a=n[t=i[w]],o=0,s={};for(T=0;T<a.length;T++)s[(e=a[T]).label]||(s[e.label]=0),s[e.label]+=e.value,o+=e.value;for(T=0;T<a.length;T++)(e=a[T]).flow={value:o,labelConcentration:s[e.label]/o,concentration:e.value/o,links:a},e.concentrationscale&&(e.color=u(e.concentrationscale(e.flow.labelConcentration)))}var l=0;for(w=0;w<r.sourceLinks.length;w++)l+=r.sourceLinks[w].value;for(w=0;w<r.sourceLinks.length;w++)(e=r.sourceLinks[w]).concentrationOut=e.value/l;var c=0;for(w=0;w<r.targetLinks.length;w++)c+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/c}}(),a.node.x.length&&a.node.y.length){for(_=0;_<Math.min(a.node.x.length,a.node.y.length,k.nodes.length);_++)if(a.node.x[_]&&a.node.y[_]){var L=[a.node.x[_]*v,a.node.y[_]*g];k.nodes[_].x0=L[0]-d/2,k.nodes[_].x1=L[0]+d/2;var C=k.nodes[_].y1-k.nodes[_].y0;k.nodes[_].y0=L[1]-C/2,k.nodes[_].y1=L[1]+C/2}\"snap\"===a.arrangement&&function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return i}(y=k.nodes).forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return t.y0-e.y0})),n=0;n<a;++n)(e=t[n]).y0>=i||(r=i-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),i=e.y1+p})),n.update(k)}return{circular:b,key:r,trace:a,guid:h.randstr(),horizontal:f,width:v,height:g,nodePad:a.node.pad,nodeLineColor:a.node.line.color,nodeLineWidth:a.node.line.width,linkLineColor:a.link.line.color,linkLineWidth:a.link.line.width,linkArrowLength:a.link.arrowlen,valueFormat:a.valueformat,valueSuffix:a.valuesuffix,textFont:a.textfont,translateX:c.x[0]*t.width+t.margin.l,translateY:t.height-c.y[1]*t.height+t.margin.t,dragParallel:f?g:v,dragPerpendicular:f?v:g,arrangement:a.arrangement,sankey:n,graph:k,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function A(t,e,r){var n=u(e.color),i=e.source.label+\"|\"+e.target.label+\"__\"+r;return e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:i,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:c.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,linkArrowLength:t.linkArrowLength,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){var e=t.linkArrowLength;if(t.link.circular)return function(t,e){var r=t.width/2,n=t.circularPathData;return\"top\"===t.circularLinkType?\"M \"+(n.targetX-e)+\" \"+(n.targetY+r)+\" L\"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r-e)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r-e)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 1 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 0 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 \"+(n.rightFullExtent+r-e)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r-e)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 0 \"+(n.rightInnerExtent-e)+\" \"+(n.targetY-r)+\"L\"+(n.targetX-e)+\" \"+(n.targetY-r)+(e>0?\"L\"+n.targetX+\" \"+n.targetY:\"\")+\"Z\":\"M \"+(n.targetX-e)+\" \"+(n.targetY-r)+\" L\"+(n.rightInnerExtent-e)+\" \"+(n.targetY-r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 0 \"+(n.rightFullExtent-r-e)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r-e)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 0 \"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent+r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 0 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 1 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r-e)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r-e)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"L\"+(n.targetX-e)+\" \"+(n.targetY+r)+(e>0?\"L\"+n.targetX+\" \"+n.targetY:\"\")+\"Z\"}(t.link,e);var r=Math.abs((t.link.target.x0-t.link.source.x1)/2);e>r&&(e=r);var n=t.link.source.x1,a=t.link.target.x0-e,o=i(n,a),s=o(.5),l=o(.5),u=t.link.y0-t.link.width/2,c=t.link.y0+t.link.width/2,f=t.link.y1-t.link.width/2,h=t.link.y1+t.link.width/2,p=\"M\"+n+\",\"+u,d=\"C\"+s+\",\"+u+\" \"+l+\",\"+f+\" \"+a+\",\"+f,v=\"C\"+l+\",\"+h+\" \"+s+\",\"+c+\" \"+n+\",\"+c,g=e>0?\"L\"+(a+e)+\",\"+(f+t.link.width/2):\"\";return p+d+(g+=\"L\"+a+\",\"+h)+v+\"Z\"}}function S(t,e){var r=u(e.color),n=l.nodePadAcross,i=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var a=e.dx,o=Math.max(.5,e.dy),s=\"node_\"+e.pointNumber;return e.group&&(s=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:s,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(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,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:c.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,s].join(\"_\"),interactionState:t.interactionState,figure:t}}function E(t){t.attr(\"transform\",(function(t){return p(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function L(t){t.call(E)}function 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b=u<2||i[0]!==i[u-1]||o[0]!==o[u-1];b&&(\"tozerox\"===y||\"tonextx\"===y&&(p||\"h\"===d))?m.tozero=!0:(e.error_y||{}).visible||\"tonexty\"!==y&&\"tozeroy\"!==y&&(l.hasMarkers(e)||l.hasText(e))||(m.padded=!1,m.ppad=0),b&&(\"tozeroy\"===y||\"tonexty\"===y&&(p||\"v\"===d))?x.tozero=!0:\"tonextx\"!==y&&\"tozerox\"!==y||(x.padded=!1),f&&(e._extremes[f]=a.findExtremes(r,i,m)),h&&(e._extremes[h]=a.findExtremes(n,o,x))}function p(t,e){if(l.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 s={type:\"linear\"};a.setConvert(s);for(var u=s.makeCalcdata(t.marker,\"size\"),c=new Array(e),f=0;f<e;f++)c[f]=r(u[f]);return c}return r(n.size)}}function d(t,e){var r=v(e),n=t._firstScatter;n[r]||(n[r]=e.uid)}function v(t){var e=t.stackgroup;return t.xaxis+t.yaxis+t.type+(e?\"-\"+e:\"\")}function g(t,e,r,n){var i=t.stackgroup;if(i){var 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n=r(52075).hasColorscale,i=r(78803),a=r(34098);t.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\"}))}},47581:function(t){\"use strict\";t.exports={PTS_LINESONLY:20,minTolerance:.2,toleranceGrowth:10,maxScreensAway:20,eventDataKeys:[]}},72626:function(t,e,r){\"use strict\";var n=r(47761),i=r(11661).setGroupPositions;function a(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 a?i?i.s+(a.s-i.s)*(r-i[n])/(a[n]-i[n]):a.s:i.s}(t,e,r,o));e||(t[0].t=t[1].t,t[0].trace=t[1].trace,delete t[1].t,delete 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n=r(82196),i=r(9012),a=r(5386).fF,o=r(5386).si,s=r(50693),l=r(1426).extendFlat,u=n.marker,c=n.line,f=u.line;t.exports={carpet:{valType:\"string\",editType:\"calc\"},a:{valType:\"data_array\",editType:\"calc\"},b:{valType:\"data_array\",editType:\"calc\"},mode:l({},n.mode,{dflt:\"markers\"}),text:l({},n.text,{}),texttemplate:o({editType:\"plot\"},{keys:[\"a\",\"b\",\"text\"]}),hovertext:l({},n.hovertext,{}),line:{color:c.color,width:c.width,dash:c.dash,backoff:c.backoff,shape:l({},c.shape,{values:[\"linear\",\"spline\"]}),smoothing:c.smoothing,editType:\"calc\"},connectgaps:n.connectgaps,fill:l({},n.fill,{values:[\"none\",\"toself\",\"tonext\"],dflt:\"none\"}),fillcolor:n.fillcolor,marker:l({symbol:u.symbol,opacity:u.opacity,maxdisplayed:u.maxdisplayed,angle:u.angle,angleref:u.angleref,standoff:u.standoff,size:u.size,sizeref:u.sizeref,sizemin:u.sizemin,sizemode:u.sizemode,line:l({width:f.width,editType:\"calc\"},s(\"marker.line\")),gradient:u.gradient,editType:\"calc\"},s(\"marker\")),textfont:n.textfont,textposition:n.textposition,selected:n.selected,unselected:n.unselected,hoverinfo:l({},i.hoverinfo,{flags:[\"a\",\"b\",\"text\",\"name\"]}),hoveron:n.hoveron,hovertemplate:a()}},34618:function(t,e,r){\"use 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r,n,i=e._length,o=e.marker,l={},u=s.isArrayOrTypedArray(o.symbol),f=s.isArrayOrTypedArray(o.angle),d=s.isArrayOrTypedArray(o.color),v=s.isArrayOrTypedArray(o.line.color),g=s.isArrayOrTypedArray(o.opacity),y=s.isArrayOrTypedArray(o.size),m=s.isArrayOrTypedArray(o.line.width);if(u||(n=p.isOpenSymbol(o.symbol)),u||d||v||g||f){l.symbols=new Array(i),l.angles=new Array(i),l.colors=new Array(i),l.borderColors=new Array(i);var x=o.symbol,b=o.angle,_=c(o,o.opacity,i),w=c(o.line,o.opacity,i);if(!Array.isArray(w[0])){var T=w;for(w=Array(i),r=0;r<i;r++)w[r]=T}if(!Array.isArray(_[0])){var k=_;for(_=Array(i),r=0;r<i;r++)_[r]=k}if(!Array.isArray(x)){var A=x;for(x=Array(i),r=0;r<i;r++)x[r]=A}if(!Array.isArray(b)){var M=b;for(b=Array(i),r=0;r<i;r++)b[r]=M}for(l.symbols=x,l.angles=b,l.colors=_,l.borderColors=w,r=0;r<i;r++)u&&(n=p.isOpenSymbol(o.symbol[r])),n&&(w[r]=_[r].slice(),_[r]=_[r].slice(),_[r][3]=0);for(l.opacity=e.opacity,l.markers=new Array(i),r=0;r<i;r++)l.markers[r]=E({mx:l.symbols[r],ma:l.angles[r]},e)}else n?(l.color=a(o.color,\"uint8\"),l.color[3]=0,l.borderColor=a(o.color,\"uint8\")):(l.color=a(o.color,\"uint8\"),l.borderColor=a(o.line.color,\"uint8\")),l.opacity=e.opacity*o.opacity,l.marker=E({mx:o.symbol,ma:o.angle},e);var S,L=h(e,1);if(y||m){var C,P=l.sizes=new Array(i),O=l.borderSizes=new Array(i),I=0;if(y){for(r=0;r<i;r++)P[r]=L(o.size[r]),I+=P[r];C=I/i}else for(S=L(o.size),r=0;r<i;r++)P[r]=S;if(m)for(r=0;r<i;r++)O[r]=o.line.width[r];else for(S=o.line.width,r=0;r<i;r++)O[r]=S;l.sizeAvg=C}else l.size=L(o&&o.size||10),l.borderSizes=L(o.line.width);return l}function b(t,e,r){var n=e.marker,i={};return r?(r.marker&&r.marker.symbol?i=x(0,s.extendFlat({},n,r.marker)):r.marker&&(r.marker.size&&(i.size=r.marker.size),r.marker.color&&(i.colors=r.marker.color),void 0!==r.marker.opacity&&(i.opacity=r.marker.opacity)),i):i}function _(t,e,r){var n={};if(!r)return n;if(r.textfont){var i={opacity:1,text:e.text,texttemplate:e.texttemplate,textposition:e.textposition,textfont:s.extendFlat({},e.textfont)};r.textfont&&s.extendFlat(i.textfont,r.textfont),n=m(t,i)}return n}function w(t,e,r){var n={capSize:2*e.width*r,lineWidth:e.thickness*r,color:e.color};return e.copy_ystyle&&(n=t.error_y),n}var T=d.SYMBOL_SDF_SIZE,k=d.SYMBOL_SIZE,A=d.SYMBOL_STROKE,M={},S=l.symbolFuncs[0](.05*k);function E(t,e){var r,n,a=t.mx;if(\"circle\"===a)return null;var o=l.symbolNumber(a),s=l.symbolFuncs[o%100],u=!!l.symbolNoDot[o%100],c=!!l.symbolNoFill[o%100],f=p.isDotSymbol(a);if(t.ma&&(a+=\"_\"+t.ma),M[a])return M[a];var h=l.getMarkerAngle(t,e);return r=f&&!u?s(1.1*k,h)+S:s(k,h),n=i(r,{w:T,h:T,viewBox:[-k,-k,k,k],stroke:c?A:-A}),M[a]=n,n||null}t.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},i=t._context.plotGlPixelRatio;if(!0!==e.visible)return n;if(f.hasText(e)&&(n.text=m(t,e),n.textSel=_(t,e,e.selected),n.textUnsel=_(t,e,e.unselected)),f.hasMarkers(e)&&(n.marker=x(0,e),n.markerSel=b(0,e,e.selected),n.markerUnsel=b(0,e,e.unselected),!e.unselected&&s.isArrayOrTypedArray(e.marker.opacity))){var a=e.marker.opacity;for(n.markerUnsel.opacity=new Array(a.length),r=0;r<a.length;r++)n.markerUnsel.opacity[r]=v*a[r]}if(f.hasLines(e)){n.line={overlay:!0,thickness:e.line.width*i,color:e.line.color,opacity:e.opacity};var o=(d.DASHES[e.line.dash]||[1]).slice();for(r=0;r<o.length;++r)o[r]*=e.line.width*i;n.line.dashes=o}return e.error_x&&e.error_x.visible&&(n.errorX=w(e,e.error_x,i)),e.error_y&&e.error_y.visible&&(n.errorY=w(e,e.error_y,i)),e.fill&&\"none\"!==e.fill&&(n.fill={closed:!0,fill:e.fillcolor,thickness:0}),n},markerStyle:x,markerSelection:b,linePositions:function(t,e,r){var n,i,a=r.length,o=a/2;if(f.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 if(\"vhv\"===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 l=(r[2*i+1]+r[2*i+3])/2;n.push(r[2*i],r[2*i+1],r[2*i],l,r[2*i+2],l)}n.push(r[a-2],r[a-1])}else if(\"vh\"===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],r[2*i+3]));n.push(r[a-2],r[a-1])}else n=r;var u=!1;for(i=0;i<n.length;i++)if(isNaN(n[i])){u=!0;break}var c=u||n.length>d.TOO_MANY_POINTS||f.hasMarkers(e)?\"rect\":\"round\";if(u&&e.connectgaps){var h=n[0],p=n[1];for(i=0;i<n.length;i+=2)isNaN(n[i])||isNaN(n[i+1])?(n[i]=h,n[i+1]=p):(h=n[i],p=n[i+1])}return{join:c,positions:n}},errorBarPositions:function(t,e,r,i,a){var s=o.getComponentMethod(\"errorbars\",\"makeComputeError\"),l=u.getFromId(t,e.xaxis,\"x\"),c=u.getFromId(t,e.yaxis,\"y\"),f=r.length/2,h={};function 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),u={x:0,y:1}[a],c={x:[0,1,2,3],y:[2,3,0,1]}[a],p=new Float64Array(4*f),d=1/0,v=-1/0,g=0,y=0;g<f;g++,y+=4){var m=t[g];if(n(m)){var x=r[2*g+u],b=l(m,g),_=b[0],w=b[1];if(n(_)&&n(w)){var T=m-_,k=m+w;p[y+c[0]]=x-i.c2l(T),p[y+c[1]]=i.c2l(k)-x,p[y+c[2]]=0,p[y+c[3]]=0,d=Math.min(d,m-_),v=Math.max(v,m+w)}}}h[a]={positions:r,errors:p,_bnds:[d,v]}}}return p(i,l),p(a,c),h},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(f.hasMarkers(e)){var s=r.font,l=r.align,u=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var c=n.sizes?n.sizes[i]:n.size,h=Array.isArray(s)?s[i].size:s.size,p=Array.isArray(l)?l.length>1?l[i]:l[0]:l,d=Array.isArray(u)?u.length>1?u[i]:u[0]:u,v=g[p],y=g[d],m=c?c/.8+1:0,x=-y*m-.5*y;o.offset[i]=[v*m/h,x/h]}}return o}}},47148:function(t,e,r){\"use strict\";var n=r(71828),i=r(73972),a=r(68645),o=r(42341),s=r(47581),l=r(34098),u=r(67513),c=r(73927),f=r(49508),h=r(11058),p=r(28908),d=r(82410);t.exports=function(t,e,r,v){function g(r,i){return n.coerce(t,e,o,r,i)}var y=!!t.marker&&a.isOpenSymbol(t.marker.symbol),m=l.isBubble(t),x=u(t,e,v,g);if(x){c(t,e,v,g),g(\"xhoverformat\"),g(\"yhoverformat\");var b=x<s.PTS_LINESONLY?\"lines+markers\":\"lines\";g(\"text\"),g(\"hovertext\"),g(\"hovertemplate\"),g(\"mode\",b),l.hasLines(e)&&(g(\"connectgaps\"),h(t,e,r,v,g),g(\"line.shape\")),l.hasMarkers(e)&&(f(t,e,r,v,g,{noAngleRef:!0,noStandOff:!0}),g(\"marker.line.width\",y||m?1:0)),l.hasText(e)&&(g(\"texttemplate\"),d(t,e,v,g));var _=(e.line||{}).color,w=(e.marker||{}).color;g(\"fill\"),\"none\"!==e.fill&&p(t,e,r,g);var T=i.getComponentMethod(\"errorbars\",\"supplyDefaults\");T(t,e,_||w||r,{axis:\"y\"}),T(t,e,_||w||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},5345:function(t,e,r){\"use strict\";var n=r(71828),i=r(7901),a=r(37822).DESELECTDIM;t.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,u=l._scene,c=l.index,f=u.selectBatch[c],h=u.unselectBatch[c],p=u.textOptions[c],d=u.textSelectedOptions[c]||{},v=u.textUnselectedOptions[c]||{},g=n.extendFlat({},p);if(f.length||h.length){var y=d.color,m=v.color,x=p.color,b=Array.isArray(x);for(g.color=new Array(s._length),e=0;e<f.length;e++)r=f[e],g.color[r]=y||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;g.color[r]=m||(y?_:i.addOpacity(_,a))}}u.glText[c].update(g)}}},68101:function(t,e,r){\"use strict\";var n=r(8225);t.exports=function(t,e,r){var i=t.i;return\"x\"in t||(t.x=e._x[i]),\"y\"in t||(t.y=e._y[i]),n(t,e,r)}},68645:function(t,e,r){\"use strict\";var n=r(78232);e.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},e.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},20794:function(t,e,r){\"use strict\";var n=r(73972),i=r(71828),a=r(34603);function o(t,e,r,o){var s=t.xa,l=t.ya,u=t.distance,c=t.dxy,f=t.index,h={pointNumber:f,x:e[f],y:r[f]};h.tx=Array.isArray(o.text)?o.text[f]:o.text,h.htx=Array.isArray(o.hovertext)?o.hovertext[f]:o.hovertext,h.data=Array.isArray(o.customdata)?o.customdata[f]:o.customdata,h.tp=Array.isArray(o.textposition)?o.textposition[f]:o.textposition;var p=o.textfont;p&&(h.ts=i.isArrayOrTypedArray(p.size)?p.size[f]:p.size,h.tc=Array.isArray(p.color)?p.color[f]:p.color,h.tf=Array.isArray(p.family)?p.family[f]:p.family);var d=o.marker;d&&(h.ms=i.isArrayOrTypedArray(d.size)?d.size[f]:d.size,h.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[f]:d.opacity,h.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[f]:d.symbol,h.ma=i.isArrayOrTypedArray(d.angle)?d.angle[f]:d.angle,h.mc=i.isArrayOrTypedArray(d.color)?d.color[f]:d.color);var v=d&&d.line;v&&(h.mlc=Array.isArray(v.color)?v.color[f]:v.color,h.mlw=i.isArrayOrTypedArray(v.width)?v.width[f]:v.width);var g=d&&d.gradient;g&&\"none\"!==g.type&&(h.mgt=Array.isArray(g.type)?g.type[f]:g.type,h.mgc=Array.isArray(g.color)?g.color[f]:g.color);var y=s.c2p(h.x,!0),m=l.c2p(h.y,!0),x=h.mrc||1,b=o.hoverlabel;b&&(h.hbg=Array.isArray(b.bgcolor)?b.bgcolor[f]:b.bgcolor,h.hbc=Array.isArray(b.bordercolor)?b.bordercolor[f]:b.bordercolor,h.hts=i.isArrayOrTypedArray(b.font.size)?b.font.size[f]:b.font.size,h.htc=Array.isArray(b.font.color)?b.font.color[f]:b.font.color,h.htf=Array.isArray(b.font.family)?b.font.family[f]:b.font.family,h.hnl=i.isArrayOrTypedArray(b.namelength)?b.namelength[f]:b.namelength);var _=o.hoverinfo;_&&(h.hi=Array.isArray(_)?_[f]:_);var w=o.hovertemplate;w&&(h.ht=Array.isArray(w)?w[f]:w);var T={};T[t.index]=h;var k=o._origX,A=o._origY,M=i.extendFlat({},t,{color:a(o,h),x0:y-x,x1:y+x,xLabelVal:k?k[f]:h.x,y0:m-x,y1:m+x,yLabelVal:A?A[f]:h.y,cd:T,distance:u,spikeDistance:c,hovertemplate:h.ht});return h.htx?M.text=h.htx:h.tx?M.text=h.tx:o.text&&(M.text=o.text),i.fillText(h,o,M),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(h,o,M),M}t.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,u,c,f,h,p,d,v=t.cd,g=v[0].t,y=v[0].trace,m=t.xa,x=t.ya,b=g.x,_=g.y,w=m.c2p(e),T=x.c2p(r),k=t.distance;if(g.tree){var A=m.p2c(w-k),M=m.p2c(w+k),S=x.p2c(T-k),E=x.p2c(T+k);i=\"x\"===n?g.tree.range(Math.min(A,M),Math.min(x._rl[0],x._rl[1]),Math.max(A,M),Math.max(x._rl[0],x._rl[1])):g.tree.range(Math.min(A,M),Math.min(S,E),Math.max(A,M),Math.max(S,E))}else i=g.ids;var L=k;if(\"x\"===n){var C=!!y.xperiodalignment,P=!!y.yperiodalignment;for(c=0;c<i.length;c++){if(l=b[a=i[c]],f=Math.abs(m.c2p(l)-w),C){var O=m.c2p(y._xStarts[a]),I=m.c2p(y._xEnds[a]);f=w>=Math.min(O,I)&&w<=Math.max(O,I)?0:1/0}if(f<L){if(L=f,u=_[a],h=x.c2p(u)-T,P){var D=x.c2p(y._yStarts[a]),z=x.c2p(y._yEnds[a]);h=T>=Math.min(D,z)&&T<=Math.max(D,z)?0:1/0}d=Math.sqrt(f*f+h*h),s=i[c]}}}else for(c=i.length-1;c>-1;c--)l=b[a=i[c]],u=_[a],f=m.c2p(l)-w,h=x.c2p(u)-T,(p=Math.sqrt(f*f+h*h))<L&&(L=d=p,s=a);return t.index=s,t.distance=L,t.dxy=d,void 0===s?[t]:[o(t,b,_,y)]},calcHover:o}},68868:function(t,e,r){\"use strict\";var n=r(72156);n.plot=r(26787),t.exports=n},26787:function(t,e,r){\"use strict\";var n=r(11870),i=r(46075),a=r(3593),o=r(42505),s=r(71828),l=r(64505).selectMode,u=r(79749),c=r(34098),f=r(68687),h=r(5345).styleTextSelection,p={};function d(t,e,r,n){var i=t._size,a=t.width*n,o=t.height*n,s=i.l*n,l=i.b*n,u=i.r*n,c=i.t*n,f=i.w*n,h=i.h*n;return[s+e.domain[0]*f,l+r.domain[0]*h,a-u-(1-e.domain[1])*f,o-c-(1-r.domain[1])*h]}(t.exports=function(t,e,r){if(r.length){var v,g,y=t._fullLayout,m=e._scene,x=e.xaxis,b=e.yaxis;if(m)if(u(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"],p)){var 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n=r(5386).fF,i=r(5386).si,a=r(19316),o=r(82196),s=r(23585),l=r(9012),u=r(50693),c=r(1426).extendFlat,f=r(30962).overrideAll,h=r(23585),p=a.line,d=a.marker;t.exports=f({lon:a.lon,lat:a.lat,cluster:{enabled:{valType:\"boolean\"},maxzoom:c({},h.layers.maxzoom,{}),step:{valType:\"number\",arrayOk:!0,dflt:-1,min:-1},size:{valType:\"number\",arrayOk:!0,dflt:20,min:0},color:{valType:\"color\",arrayOk:!0},opacity:c({},d.opacity,{dflt:1})},mode:c({},o.mode,{dflt:\"markers\"}),text:c({},o.text,{}),texttemplate:i({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:c({},o.hovertext,{}),line:{color:p.color,width:p.width},connectgaps:o.connectgaps,marker:c({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},angle:{valType:\"number\",dflt:\"auto\",arrayOk:!0},allowoverlap:{valType:\"boolean\",dflt:!1},opacity:d.opacity,size:d.size,sizeref:d.sizeref,sizemin:d.sizemin,sizemode:d.sizemode},u(\"marker\")),fill:a.fill,fillcolor:o.fillcolor,textfont:s.layers.symbol.textfont,textposition:s.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:o.selected.marker},unselected:{marker:o.unselected.marker},hoverinfo:c({},l.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:n()},\"calc\",\"nested\")},15790:function(t,e,r){\"use 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r,a=e[0].trace,b=!0===a.visible&&0!==a._length,_=\"none\"!==a.fill,w=c.hasLines(a),T=c.hasMarkers(a),k=c.hasText(a),A=T&&\"circle\"===a.marker.symbol,M=T&&\"circle\"!==a.marker.symbol,S=a.cluster&&a.cluster.enabled,E=v(\"fill\"),L=v(\"line\"),C=v(\"circle\"),P=v(\"symbol\"),O={fill:E,line:L,circle:C,symbol:P};if(!b)return O;if((_||w)&&(r=o.calcTraceToLineCoords(e)),_&&(E.geojson=o.makePolygon(r),E.layout.visibility=\"visible\",i.extendFlat(E.paint,{\"fill-color\":a.fillcolor})),w&&(L.geojson=o.makeLine(r),L.layout.visibility=\"visible\",i.extendFlat(L.paint,{\"line-width\":a.line.width,\"line-color\":a.line.color,\"line-opacity\":a.opacity})),A){var I=function(t){var e,r,a,o,c=t[0].trace,f=c.marker,h=c.selectedpoints,p=i.isArrayOrTypedArray(f.color),d=i.isArrayOrTypedArray(f.size),v=i.isArrayOrTypedArray(f.opacity);function g(t){return c.opacity*t}p&&(r=s.hasColorscale(c,\"marker\")?s.makeColorScaleFuncFromTrace(f):i.identity),d&&(a=u(c)),v&&(o=function(t){return 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a.marker&&\"auto\"!==a.marker.angle&&i.extendFlat(P.layout,{\"icon-rotate\":{type:\"identity\",property:\"angle\"},\"icon-rotation-alignment\":\"map\"}),P.layout[\"icon-allow-overlap\"]=a.marker.allowoverlap,i.extendFlat(P.paint,{\"icon-opacity\":a.opacity*a.marker.opacity,\"icon-color\":a.marker.color})),k)){var D=(a.marker||{}).size,z=f(a.textposition,D);i.extendFlat(P.layout,{\"text-size\":a.textfont.size,\"text-anchor\":z.anchor,\"text-offset\":z.offset,\"text-font\":a.textfont.family.split(\", \")}),i.extendFlat(P.paint,{\"text-color\":a.textfont.color,\"text-opacity\":a.opacity})}return O}},76645:function(t,e,r){\"use strict\";var n=r(71828),i=r(34098),a=r(49508),o=r(11058),s=r(82410),l=r(28908),u=r(99181),c=[\"Metropolis Black Italic\",\"Metropolis Black\",\"Metropolis Bold Italic\",\"Metropolis Bold\",\"Metropolis Extra Bold Italic\",\"Metropolis Extra Bold\",\"Metropolis Extra Light Italic\",\"Metropolis Extra Light\",\"Metropolis Light Italic\",\"Metropolis Light\",\"Metropolis Medium Italic\",\"Metropolis Medium\",\"Metropolis Regular Italic\",\"Metropolis Regular\",\"Metropolis Semi Bold Italic\",\"Metropolis Semi Bold\",\"Metropolis Thin Italic\",\"Metropolis Thin\",\"Open Sans Bold Italic\",\"Open Sans Bold\",\"Open Sans Extra Bold Italic\",\"Open Sans Extra Bold\",\"Open Sans Italic\",\"Open Sans Light Italic\",\"Open Sans Light\",\"Open Sans Regular\",\"Open Sans Semibold Italic\",\"Open Sans Semibold\",\"Klokantech Noto Sans Bold\",\"Klokantech Noto Sans CJK Bold\",\"Klokantech Noto Sans CJK Regular\",\"Klokantech Noto Sans Italic\",\"Klokantech Noto Sans Regular\"];t.exports=function(t,e,r,f){function h(r,i){return n.coerce(t,e,u,r,i)}function p(r,i){return n.coerce2(t,e,u,r,i)}var d=function(t,e,r){var n=r(\"lon\")||[],i=r(\"lat\")||[],a=Math.min(n.length,i.length);return 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n=r(35948),i=r(20794).calcHover;t.exports={hoverPoints:function(t,e,r){var a=t.cd[0].trace,o=t.scene.matrixOptions.cdata,s=t.xa,l=t.ya,u=s.c2p(e),c=l.c2p(r),f=t.distance,h=n.getDimIndex(a,s),p=n.getDimIndex(a,l);if(!1===h||!1===p)return[t];for(var d,v,g=o[h],y=o[p],m=f,x=0;x<g.length;x++){var b=g[x],_=y[x],w=s.c2p(b)-u,T=l.c2p(_)-c,k=Math.sqrt(w*w+T*T);k<m&&(m=v=k,d=x)}return t.index=d,t.distance=m,t.dxy=v,void 0===d?[t]:[i(t,g,y,a)]}}},6419:function(t,e,r){\"use strict\";var n=r(65017);n.basePlotModule=r(16947),t.exports=n},79410:function(t,e,r){\"use strict\";var n=r(60487),i=r(71828),a=r(41675),o=r(64505).selectMode;function s(t,e){var r,s,l,u,c,f=t._fullLayout,h=f._size,p=e.trace,d=e.t,v=f._splomScenes[p.uid],g=v.matrixOptions,y=g.cdata,m=f._glcanvas.data()[0].regl,x=f.dragmode;if(0!==y.length){g.lower=p.showupperhalf,g.upper=p.showlowerhalf,g.diagonal=p.diagonal.visible;var b=p._visibleDims,_=y.length,w=v.viewOpts={};for(w.ranges=new Array(_),w.domains=new 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B=i.extendFlat({},g,v.unselectedOptions,w),N=i.extendFlat({},g,v.selectedOptions,w);v.matrix.update(B,N),P=!1}}else d.xpx=d.ypx=null;if(P){var j=i.extendFlat({},g,w);v.matrix.update(j,null)}}}t.exports=function(t,e,r){if(r.length)for(var n=0;n<r.length;n++)s(t,r[n][0])}},10164:function(t,e,r){\"use strict\";var n=r(71828);t.exports=function(t,e){var r=t._fullLayout,i=e.uid,a=r._splomScenes;a||(a=r._splomScenes={});var o={dirty:!0,selectBatch:[],unselectBatch:[]},s=a[e.uid];return s||((s=a[i]=n.extendFlat({},o,{matrix:!1,selectBatch:[],unselectBatch:[]})).draw=function(){s.matrix&&s.matrix.draw&&(s.selectBatch.length||s.unselectBatch.length?s.matrix.draw(s.unselectBatch,s.selectBatch):s.matrix.draw()),s.dirty=!1},s.destroy=function(){s.matrix&&s.matrix.destroy&&s.matrix.destroy(),s.matrixOptions=null,s.selectBatch=null,s.unselectBatch=null,s=null}),s.dirty||n.extendFlat(s,o),s}},8689:function(t,e,r){\"use strict\";var n=r(71828),i=n.pushUnique,a=r(34098),o=r(35948);t.exports=function(t,e){var r=t.cd,s=r[0].trace,l=r[0].t,u=t.scene,c=u.matrixOptions.cdata,f=t.xaxis,h=t.yaxis,p=[];if(!u)return p;var d=!a.hasMarkers(s)&&!a.hasText(s);if(!0!==s.visible||d)return p;var v=o.getDimIndex(s,f),g=o.getDimIndex(s,h);if(!1===v||!1===g)return p;var y=l.xpx[v],m=l.ypx[g],x=c[v],b=c[g],_=(t.scene.selectBatch||[]).slice(),w=[];if(!1!==e&&!e.degenerate)for(var T=0;T<x.length;T++)e.contains([y[T],m[T]],null,T,t)?(p.push({pointNumber:T,x:x[T],y:b[T]}),i(_,T)):-1!==_.indexOf(T)?i(_,T):w.push(T);var k=u.matrixOptions;return _.length||w.length?u.selectBatch.length||u.unselectBatch.length||u.matrix.update(u.unselectedOptions,n.extendFlat({},k,u.selectedOptions,u.viewOpts)):u.matrix.update(k,null),u.selectBatch=_,u.unselectBatch=w,p}},21850:function(t,e,r){\"use strict\";var n=r(50693),i=r(12663).axisHoverFormat,a=r(5386).fF,o=r(2418),s=r(9012),l=r(1426).extendFlat,u={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:a({editType:\"calc\"},{keys:[\"tubex\",\"tubey\",\"tubez\",\"tubeu\",\"tubev\",\"tubew\",\"norm\",\"divergence\"]}),uhoverformat:i(\"u\",1),vhoverformat:i(\"v\",1),whoverformat:i(\"w\",1),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),showlegend:l({},s.showlegend,{dflt:!1})};l(u,n(\"\",{colorAttr:\"u/v/w 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L=function(){m=0,M=[],S=[],E=[]};(!m||m<M.length*S.length*E.length)&&L();var C=function(t){return\"x\"===t?v:\"y\"===t?g:y},P=function(t){return\"x\"===t?M:\"y\"===t?S:E},O=function(t){return t[m-1]<t[0]?-1:1},I=C(A[1]),D=C(A[3]),z=C(A[5]),R=P(A[1]).length,F=P(A[3]).length,B=P(A[5]).length,N=!1,j=function(t,e,r){return R*(F*t+e)+r},U=O(C(A[1])),V=O(C(A[3])),H=O(C(A[5]));for(e=0;e<B-1;e++){for(r=0;r<F-1;r++){for(i=0;i<R-1;i++){var q=j(e,r,i),G=j(e,r,i+1),Z=j(e,r+1,i),Y=j(e+1,r,i);if(I[q]*U<I[G]*U&&D[q]*V<D[Z]*V&&z[q]*H<z[Y]*H||(N=!0),N)break}if(N)break}if(N)break}return N&&(n.warn(\"Encountered arbitrary coordinates! 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y=n[c];r.xMax=Math.max(r.xMax,y),r.xMin=Math.min(r.xMin,y);var m=o[c];r.yMax=Math.max(r.yMax,m),r.yMin=Math.min(r.yMin,m);var x=l[c];r.zMax=Math.max(r.zMax,x),r.zMin=Math.min(r.zMin,x)}e._slen=u,e._normMax=f,e._xbnds=[r.xMin,r.xMax],e._ybnds=[r.yMin,r.yMax],e._zbnds=[r.zMin,r.zMax]},filter:s,processGrid:a}},90154:function(t,e,r){\"use strict\";var n=r(9330).gl_streamtube3d,i=n.createTubeMesh,a=r(71828),o=r(81697).parseColorScale,s=r(21081).extractOpts,l=r(90060),u={xaxis:0,yaxis:1,zaxis:2};function c(t,e){this.scene=t,this.uid=e,this.mesh=null,this.data=null}var f=c.prototype;function h(t){var e=t.length;return e>2?t.slice(1,e-1):2===e?[(t[0]+t[1])/2]:t}function p(t){var e=t.length;return 1===e?[.5,.5]:[t[1]-t[0],t[e-1]-t[e-2]]}function d(t,e){var r=t.fullSceneLayout,i=t.dataScale,c=e._len,f={};function d(t,e){var n=r[e],o=i[u[e]];return a.simpleMap(t,(function(t){return 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e.listPath(t,\"label\").join(\"/\")+\"/\"},e.formatValue=o.formatPieValue,e.formatPercent=function(t,e){var r=n.formatPercent(t,0);return\"0%\"===r&&(r=o.formatPiePercent(t,e)),r}},87619:function(t,e,r){\"use strict\";t.exports={moduleType:\"trace\",name:\"sunburst\",basePlotModule:r(66888),categories:[],animatable:!0,attributes:r(57564),layoutAttributes:r(2654),supplyDefaults:r(17094),supplyLayoutDefaults:r(57034),calc:r(52147).calc,crossTraceCalc:r(52147).crossTraceCalc,plot:r(24714).plot,style:r(29969).style,colorbar:r(4898),meta:{}}},2654:function(t){\"use strict\";t.exports={sunburstcolorway:{valType:\"colorlist\",editType:\"calc\"},extendsunburstcolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},57034:function(t,e,r){\"use strict\";var n=r(71828),i=r(2654);t.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"sunburstcolorway\",e.colorway),r(\"extendsunburstcolors\")}},24714:function(t,e,r){\"use strict\";var 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s,l=b.getPtId(t.parent);T.each((function(t){if(b.getPtId(t)===l)return s=t}));var u,c=s.children;c.forEach((function(t,e){if(b.getPtId(t)===r)return u=e}));var f=c.length,h=a(s.x0,s.x1);e={rpx0:I,rpx1:I,x0:h(u/f),x1:h((u+1)/f)}}return a(n,e)}(t);return function(t){return Z(e(t))}})),t.select(\"g.slicetext\").attr(\"opacity\",0)})).remove():T.exit().remove(),T.order();var X=null;if(_&&R){var J=b.getPtId(R);T.each((function(t){null===X&&b.getPtId(t)===J&&(X=t.x1)}))}var K=T;function $(t){var e=t.parent,r=F[b.getPtId(e)],n={};if(r){var i=e.children,o=i.indexOf(t),s=i.length,l=a(r.x0,r.x1);n.x0=l(o/s),n.x1=l(o/s)}else n.x0=n.x1=0;return n}_&&(K=K.transition().each(\"end\",(function(){var e=n.select(this);b.setSliceCursor(e,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:!1})}))),K.each((function(i){var u=n.select(this),f=s.ensureSingle(u,\"path\",\"surface\",(function(t){t.style(\"pointer-events\",h?\"none\":\"all\")}));i.rpx0=q(i.y0),i.rpx1=q(i.y1),i.xmid=(i.x0+i.x1)/2,i.pxmid=G(i.rpx1,i.xmid),i.midangle=-(i.xmid-Math.PI/2),i.startangle=-(i.x0-Math.PI/2),i.stopangle=-(i.x1-Math.PI/2),i.halfangle=.5*Math.min(s.angleDelta(i.x0,i.x1)||Math.PI,Math.PI),i.ring=1-i.rpx0/i.rpx1,i.rInscribed=function(t){return 0===t.rpx0&&s.isFullCircle([t.x0,t.x1])?1:Math.max(0,Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2))}(i),_?f.transition().attrTween(\"d\",(function(t){var e=function(t){var e,r=F[b.getPtId(t)],n={x0:t.x0,x1:t.x1,rpx0:t.rpx0,rpx1:t.rpx1};if(r)e=r;else if(R)if(t.parent)if(X){var i=(t.x1>X?2*Math.PI:0)+V;e={x0:i,x1:i}}else e={rpx0:I,rpx1:I},s.extendFlat(e,$(t));else e={rpx0:0,rpx1:0};else e={x0:V,x1:V};return a(e,n)}(t);return function(t){return Z(e(t))}})):f.attr(\"d\",Z),u.call(m,S,t,r,{eventDataKeys:x.eventDataKeys,transitionTime:x.CLICK_TRANSITION_TIME,transitionEasing:x.CLICK_TRANSITION_EASING}).call(b.setSliceCursor,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:t._transitioning}),f.call(g,i,A,t);var p=s.ensureSingle(u,\"g\",\"slicetext\"),w=s.ensureSingle(p,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),T=s.ensureUniformFontSize(t,b.determineTextFont(A,i,y.font));w.text(e.formatSliceLabel(i,S,A,r,y)).classed(\"slicetext\",!0).attr(\"text-anchor\",\"middle\").call(o.font,T).call(l.convertToTspans,t);var M=o.bBox(w.node());i.transform=v(M,i,k),i.transform.targetX=Y(i),i.transform.targetY=W(i);var E=function(t,e){var r=t.transform;return d(r,e),r.fontSize=T.size,c(A.type,r,y),s.getTextTransform(r)};_?w.transition().attrTween(\"transform\",(function(t){var e=function(t){var e,r=F[b.getPtId(t)],n=t.transform;if(r)e=r;else if(e={rpx1:t.rpx1,transform:{textPosAngle:n.textPosAngle,scale:0,rotate:n.rotate,rCenter:n.rCenter,x:n.x,y:n.y}},R)if(t.parent)if(X){var i=t.x1>X?2*Math.PI:0;e.x0=e.x1=i}else s.extendFlat(e,$(t));else e.x0=e.x1=V;else e.x0=e.x1=V;var o=a(e.transform.textPosAngle,t.transform.textPosAngle),l=a(e.rpx1,t.rpx1),u=a(e.x0,t.x0),f=a(e.x1,t.x1),h=a(e.transform.scale,n.scale),p=a(e.transform.rotate,n.rotate),d=0===n.rCenter?3:0===e.transform.rCenter?1/3:1,v=a(e.transform.rCenter,n.rCenter);return function(t){var e=l(t),r=u(t),i=f(t),a=function(t){return v(Math.pow(t,d))}(t),s={pxmid:G(e,(r+i)/2),rpx1:e,transform:{textPosAngle:o(t),rCenter:a,x:n.x,y:n.y}};return c(A.type,n,y),{transform:{targetX:Y(s),targetY:W(s),scale:h(t),rotate:p(t),rCenter:a}}}}(t);return function(t){return E(e(t),M)}})):w.attr(\"transform\",E(i,M))}))}function w(t){return e=t.rpx1,r=t.transform.textPosAngle,[e*Math.sin(r),-e*Math.cos(r)];var e,r}e.plot=function(t,e,r,i){var a,o,s=t._fullLayout,l=s._sunburstlayer,u=!r,c=!s.uniformtext.mode&&b.hasTransition(r);f(\"sunburst\",s),(a=l.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(){l.selectAll(\"g.trace\").each((function(e){_(t,e,this,r)}))}))):(a.each((function(e){_(t,e,this,r)})),s.uniformtext.mode&&y(t,s._sunburstlayer.selectAll(\".trace\"),\"sunburst\")),u&&a.exit().remove()},e.formatSliceLabel=function(t,e,r,n,i){var a=r.texttemplate,o=r.textinfo;if(!(a||o&&\"none\"!==o))return\"\";var l=i.separators,u=n[0],c=t.data.data,f=u.hierarchy,h=b.isHierarchyRoot(t),p=b.getParent(f,t),d=b.getValue(t);if(!a){var v,g=o.split(\"+\"),y=function(t){return-1!==g.indexOf(t)},m=[];if(y(\"label\")&&c.label&&m.push(c.label),c.hasOwnProperty(\"v\")&&y(\"value\")&&m.push(b.formatValue(c.v,l)),!h){y(\"current path\")&&m.push(b.getPath(t.data));var x=0;y(\"percent parent\")&&x++,y(\"percent entry\")&&x++,y(\"percent root\")&&x++;var _=x>1;if(x){var w,T=function(t){v=b.formatPercent(w,l),_&&(v+=\" of \"+t),m.push(v)};y(\"percent parent\")&&!h&&(w=d/b.getValue(p),T(\"parent\")),y(\"percent entry\")&&(w=d/b.getValue(e),T(\"entry\")),y(\"percent root\")&&(w=d/b.getValue(f),T(\"root\"))}}return y(\"text\")&&(v=s.castOption(r,c.i,\"text\"),s.isValidTextValue(v)&&m.push(v)),m.join(\"<br>\")}var k=s.castOption(r,c.i,\"texttemplate\");if(!k)return\"\";var A={};c.label&&(A.label=c.label),c.hasOwnProperty(\"v\")&&(A.value=c.v,A.valueLabel=b.formatValue(c.v,l)),A.currentPath=b.getPath(t.data),h||(A.percentParent=d/b.getValue(p),A.percentParentLabel=b.formatPercent(A.percentParent,l),A.parent=b.getPtLabel(p)),A.percentEntry=d/b.getValue(e),A.percentEntryLabel=b.formatPercent(A.percentEntry,l),A.entry=b.getPtLabel(e),A.percentRoot=d/b.getValue(f),A.percentRootLabel=b.formatPercent(A.percentRoot,l),A.root=b.getPtLabel(f),c.hasOwnProperty(\"color\")&&(A.color=c.color);var M=s.castOption(r,c.i,\"text\");return(s.isValidTextValue(M)||\"\"===M)&&(A.text=M),A.customdata=s.castOption(r,c.i,\"customdata\"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},29969:function(t,e,r){\"use strict\";var n=r(39898),i=r(7901),a=r(71828),o=r(72597).resizeText,s=r(43467);function l(t,e,r,n){var 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f=t.exports=u(l({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:o(),xhoverformat:a(\"x\"),yhoverformat:a(\"y\"),zhoverformat:a(\"z\"),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},i(\"\",{colorAttr:\"z or 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n=r(78803);t.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},43768:function(t,e,r){\"use strict\";var n=r(9330).gl_surface3d,i=r(9330).ndarray,a=r(9330).ndarray_linear_interpolate.d2,o=r(824),s=r(43907),l=r(71828).isArrayOrTypedArray,u=r(81697).parseColorScale,c=r(78614),f=r(21081).extractOpts;function h(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 p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 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A=[!0,!0,!0],M=[\"x\",\"y\",\"z\"];for(e=0;e<3;++e){var S=t.contours[M[e]];A[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,w.levels[e]=m[e],p.highlightColor[e]=w.contourColor[e]=c(S.color),S.usecolormap?p.highlightTint[e]=w.contourTint[e]=0:p.highlightTint[e]=w.contourTint[e]=1,w.contourWidth[e]=S.width,this.contourStart[e]=S.start,this.contourEnd[e]=S.end,this.contourSize[e]=S.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),S.highlight&&(w.dynamicColor[e]=c(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=A,p.enableHighlight=A,p.snapToData=!0,\"lighting\"in 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n=r(50215),i=r(1426).extendFlat,a=r(30962).overrideAll,o=r(41940),s=r(27670).Y,l=r(12663).descriptionOnlyNumbers;(t.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:[],description:l(\"cell value\")},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:[],description:l(\"cell 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L=Math.max(o(e.header.line.width),o(e.cells.line.width)),C={key:e.uid+t._context.staticPlot,translateX:g.x[0]*t._fullLayout._size.w,translateY:t._fullLayout._size.h*(1-g.y[1]),size:t._fullLayout._size,width:y,maxLineWidth:L,height:m,columnOrder:M,groupHeight:m,rowBlocks:k,headerRowBlocks:T,scrollY:0,cells:i({},e.cells,{values:r}),headerCells:i({},e.header,{values:v}),gdColumns:v.map((function(t){return t[0]})),gdColumnsOriginalOrder:v.map((function(t){return t[0]})),prevPages:[0,0],scrollbarState:{scrollbarScrollInProgress:!1},columns:v.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:c,x:void 0,calcdata:void 0,columnWidth:S[e]}}))};return C.columns.forEach((function(t){t.calcdata=C,t.x=c(t)})),C}},56269:function(t,e,r){\"use strict\";var n=r(1426).extendFlat;e.splitToPanels=function(t){var e=[0,0],r=n({},t,{key:\"header\",type:\"header\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!0,values:t.calcdata.headerCells.values[t.specIndex],rowBlocks:t.calcdata.headerRowBlocks,calcdata:n({},t.calcdata,{cells:t.calcdata.headerCells})});return[n({},t,{key:\"cells1\",type:\"cells\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),n({},t,{key:\"cells2\",type:\"cells\",page:1,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),r]},e.splitToCells=function(t){var e=function(t){var e=t.rowBlocks[t.page],r=e?e.rows[0].rowIndex:0;return[r,e?r+e.rows.length:0]}(t);return(t.values||[]).slice(e[0],e[1]).map((function(r,n){return{keyWithinBlock:n+(\"string\"==typeof r&&r.match(/[<$&> 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a.indexOf(t)})),s=o.length;s<n;s++)o.push(s);e(\"columnorder\",o)}(e,s),s(\"cells.values\"),s(\"cells.format\"),s(\"cells.align\"),s(\"cells.prefix\"),s(\"cells.suffix\"),s(\"cells.height\"),s(\"cells.line.width\"),s(\"cells.line.color\"),s(\"cells.fill.color\"),n.coerceFont(s,\"cells.font\",n.extendFlat({},o.font)),e._length=null}},96595:function(t,e,r){\"use strict\";t.exports={attributes:r(44464),supplyDefaults:r(39754),calc:r(76333),plot:r(36736),moduleType:\"trace\",name:\"table\",basePlotModule:r(99469),categories:[\"noOpacity\"],meta:{}}},36736:function(t,e,r){\"use strict\";var n=r(49850),i=r(39898),a=r(71828).numberFormat,o=r(28984),s=r(91424),l=r(63893),u=r(71828).raiseToTop,c=r(71828).strTranslate,f=r(71828).cancelTransition,h=r(51018),p=r(56269),d=r(7901);function v(t){return Math.ceil(t.calcdata.maxLineWidth/2)}function g(t,e){return\"clip\"+t._fullLayout._uid+\"_scrollAreaBottomClip_\"+e.key}function y(t,e){return\"clip\"+t._fullLayout._uid+\"_columnBoundaryClippath_\"+e.calcdata.key+\"_\"+e.specIndex}function m(t){return[].concat.apply([],t.map((function(t){return t}))).map((function(t){return t.__data__}))}function x(t,e,r){var a=t.selectAll(\".\"+n.cn.scrollbarKit).data(o.repeat,o.keyFun);a.enter().append(\"g\").classed(n.cn.scrollbarKit,!0).style(\"shape-rendering\",\"geometricPrecision\"),a.each((function(t){var e=t.scrollbarState;e.totalHeight=function(t){var e=t.rowBlocks;return z(e,e.length-1)+(e.length?R(e[e.length-1],1/0):1)}(t),e.scrollableAreaHeight=t.groupHeight-S(t),e.currentlyVisibleHeight=Math.min(e.totalHeight,e.scrollableAreaHeight),e.ratio=e.currentlyVisibleHeight/e.totalHeight,e.barLength=Math.max(e.ratio*e.currentlyVisibleHeight,n.goldenRatio*n.scrollbarWidth),e.barWiggleRoom=e.currentlyVisibleHeight-e.barLength,e.wiggleRoom=Math.max(0,e.totalHeight-e.scrollableAreaHeight),e.topY=0===e.barWiggleRoom?0:t.scrollY/e.wiggleRoom*e.barWiggleRoom,e.bottomY=e.topY+e.barLength,e.dragMultiplier=e.wiggleRoom/e.barWiggleRoom})).attr(\"transform\",(function(t){var e=t.width+n.scrollbarWidth/2+n.scrollbarOffset;return c(e,S(t))}));var s=a.selectAll(\".\"+n.cn.scrollbar).data(o.repeat,o.keyFun);s.enter().append(\"g\").classed(n.cn.scrollbar,!0);var l=s.selectAll(\".\"+n.cn.scrollbarSlider).data(o.repeat,o.keyFun);l.enter().append(\"g\").classed(n.cn.scrollbarSlider,!0),l.attr(\"transform\",(function(t){return c(0,t.scrollbarState.topY||0)}));var u=l.selectAll(\".\"+n.cn.scrollbarGlyph).data(o.repeat,o.keyFun);u.enter().append(\"line\").classed(n.cn.scrollbarGlyph,!0).attr(\"stroke\",\"black\").attr(\"stroke-width\",n.scrollbarWidth).attr(\"stroke-linecap\",\"round\").attr(\"y1\",n.scrollbarWidth/2),u.attr(\"y2\",(function(t){return t.scrollbarState.barLength-n.scrollbarWidth/2})).attr(\"stroke-opacity\",(function(t){return t.columnDragInProgress||!t.scrollbarState.barWiggleRoom||r?0:.4})),u.transition().delay(0).duration(0),u.transition().delay(n.scrollbarHideDelay).duration(n.scrollbarHideDuration).attr(\"stroke-opacity\",0);var f=s.selectAll(\".\"+n.cn.scrollbarCaptureZone).data(o.repeat,o.keyFun);f.enter().append(\"line\").classed(n.cn.scrollbarCaptureZone,!0).attr(\"stroke\",\"white\").attr(\"stroke-opacity\",.01).attr(\"stroke-width\",n.scrollbarCaptureWidth).attr(\"stroke-linecap\",\"butt\").attr(\"y1\",0).on(\"mousedown\",(function(r){var n=i.event.y,a=this.getBoundingClientRect(),o=r.scrollbarState,s=n-a.top,l=i.scale.linear().domain([0,o.scrollableAreaHeight]).range([0,o.totalHeight]).clamp(!0);o.topY<=s&&s<=o.bottomY||L(e,t,null,l(s-o.barLength/2))(r)})).call(i.behavior.drag().origin((function(t){return i.event.stopPropagation(),t.scrollbarState.scrollbarScrollInProgress=!0,t})).on(\"drag\",L(e,t)).on(\"dragend\",(function(){}))),f.attr(\"y2\",(function(t){return t.scrollbarState.scrollableAreaHeight})),e._context.staticPlot&&(u.remove(),f.remove())}function b(t,e,r,a){var l=function(t){var e=t.selectAll(\".\"+n.cn.columnCells).data(o.repeat,o.keyFun);return e.enter().append(\"g\").classed(n.cn.columnCells,!0),e.exit().remove(),e}(r),u=function(t){var e=t.selectAll(\".\"+n.cn.columnCell).data(p.splitToCells,(function(t){return t.keyWithinBlock}));return e.enter().append(\"g\").classed(n.cn.columnCell,!0),e.exit().remove(),e}(l);!function(t){t.each((function(t,e){var r=t.calcdata.cells.font,n=t.column.specIndex,i={size:T(r.size,n,e),color:T(r.color,n,e),family:T(r.family,n,e)};t.rowNumber=t.key,t.align=T(t.calcdata.cells.align,n,e),t.cellBorderWidth=T(t.calcdata.cells.line.width,n,e),t.font=i}))}(u);var c=function(t){var e=t.selectAll(\".\"+n.cn.cellRect).data(o.repeat,(function(t){return t.keyWithinBlock}));return e.enter().append(\"rect\").classed(n.cn.cellRect,!0),e}(u);!function(t){t.attr(\"width\",(function(t){return t.column.columnWidth})).attr(\"stroke-width\",(function(t){return t.cellBorderWidth})).each((function(t){var e=i.select(this);d.stroke(e,T(t.calcdata.cells.line.color,t.column.specIndex,t.rowNumber)),d.fill(e,T(t.calcdata.cells.fill.color,t.column.specIndex,t.rowNumber))}))}(c);var f=function(t){var e=t.selectAll(\".\"+n.cn.cellTextHolder).data(o.repeat,(function(t){return t.keyWithinBlock}));return e.enter().append(\"g\").classed(n.cn.cellTextHolder,!0).style(\"shape-rendering\",\"geometricPrecision\"),e}(u),h=function(t){var e=t.selectAll(\".\"+n.cn.cellText).data(o.repeat,(function(t){return t.keyWithinBlock}));return e.enter().append(\"text\").classed(n.cn.cellText,!0).style(\"cursor\",(function(){return\"auto\"})).on(\"mousedown\",(function(){i.event.stopPropagation()})),e}(f);!function(t){t.each((function(t){s.font(i.select(this),t.font)}))}(h),_(h,e,a,t),D(u)}function _(t,e,r,o){t.text((function(t){var e=t.column.specIndex,r=t.rowNumber,i=t.value,o=\"string\"==typeof i,s=o&&i.match(/<br>/i),l=!o||s;t.mayHaveMarkup=o&&i.match(/[<&>]/);var u,c=\"string\"==typeof(u=i)&&u.match(n.latexCheck);t.latex=c;var f,h,p=c?\"\":T(t.calcdata.cells.prefix,e,r)||\"\",d=c?\"\":T(t.calcdata.cells.suffix,e,r)||\"\",v=c?null:T(t.calcdata.cells.format,e,r)||null,g=p+(v?a(v)(t.value):t.value)+d;if(t.wrappingNeeded=!t.wrapped&&!l&&!c&&(f=w(g)),t.cellHeightMayIncrease=s||c||t.mayHaveMarkup||(void 0===f?w(g):f),t.needsConvertToTspans=t.mayHaveMarkup||t.wrappingNeeded||t.latex,t.wrappingNeeded){var y=(\" 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k(t,e,r){t.transition().ease(n.releaseTransitionEase).duration(n.releaseTransitionDuration).attr(\"transform\",c(e.x,r))}function A(t){return\"cells\"===t.type}function M(t){return\"header\"===t.type}function S(t){return(t.rowBlocks.length?t.rowBlocks[0].auxiliaryBlocks:[]).reduce((function(t,e){return t+R(e,1/0)}),0)}function E(t,e,r){var n=m(e)[0];if(void 0!==n){var i=n.rowBlocks,a=n.calcdata,o=z(i,i.length),s=n.calcdata.groupHeight-S(n),l=a.scrollY=Math.max(0,Math.min(o-s,a.scrollY)),u=function(t,e,r){for(var n=[],i=0,a=0;a<t.length;a++){for(var o=t[a],s=o.rows,l=0,u=0;u<s.length;u++)l+=s[u].rowHeight;o.allRowsHeight=l,e<i+l&&e+r>i&&n.push(a),i+=l}return n}(i,l,s);1===u.length&&(u[0]===i.length-1?u.unshift(u[0]-1):u.push(u[0]+1)),u[0]%2&&u.reverse(),e.each((function(t,e){t.page=u[e],t.scrollY=l})),e.attr(\"transform\",(function(t){var e=z(t.rowBlocks,t.page)-t.scrollY;return c(0,e)})),t&&(C(t,r,e,u,n.prevPages,n,0),C(t,r,e,u,n.prevPages,n,1),x(r,t))}}function L(t,e,r,a){return function(o){var s=o.calcdata?o.calcdata:o,l=e.filter((function(t){return s.key===t.key})),u=r||s.scrollbarState.dragMultiplier,c=s.scrollY;s.scrollY=void 0===a?s.scrollY+u*i.event.dy:a;var f=l.selectAll(\".\"+n.cn.yColumn).selectAll(\".\"+n.cn.columnBlock).filter(A);return E(t,f,l),s.scrollY===c}}function C(t,e,r,n,i,a,o){n[o]!==i[o]&&(clearTimeout(a.currentRepaint[o]),a.currentRepaint[o]=setTimeout((function(){var a=r.filter((function(t,e){return e===o&&n[e]!==i[e]}));b(t,e,a,r),i[o]=n[o]})))}function P(t,e,r,a){return function(){var o=i.select(e.parentNode);o.each((function(t){var e=t.fragments;o.selectAll(\"tspan.line\").each((function(t,r){e[r].width=this.getComputedTextLength()}));var 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r=!t._context.staticPlot,a=t._fullLayout._paper.selectAll(\".\"+n.cn.table).data(e.map((function(e){var r=o.unwrap(e).trace;return h(t,r)})),o.keyFun);a.exit().remove(),a.enter().append(\"g\").classed(n.cn.table,!0).attr(\"overflow\",\"visible\").style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"overflow\",\"visible\").style(\"shape-rendering\",\"crispEdges\").style(\"pointer-events\",\"all\"),a.attr(\"width\",(function(t){return t.width+t.size.l+t.size.r})).attr(\"height\",(function(t){return t.height+t.size.t+t.size.b})).attr(\"transform\",(function(t){return c(t.translateX,t.translateY)}));var l=a.selectAll(\".\"+n.cn.tableControlView).data(o.repeat,o.keyFun),d=l.enter().append(\"g\").classed(n.cn.tableControlView,!0).style(\"box-sizing\",\"content-box\");if(r){var _=\"onwheel\"in document?\"wheel\":\"mousewheel\";d.on(\"mousemove\",(function(e){l.filter((function(t){return 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c=[\"\",\"0\",\"00\",\"000\",\"0000\",\"00000\",\"000000\",\"0000000\",\"00000000\",\"000000000\",\"0000000000\",\"00000000000\",\"000000000000\",\"0000000000000\",\"00000000000000\",\"000000000000000\",\"0000000000000000\",\"00000000000000000\",\"000000000000000000\",\"0000000000000000000\",\"00000000000000000000\",\"000000000000000000000\",\"0000000000000000000000\",\"00000000000000000000000\",\"000000000000000000000000\",\"0000000000000000000000000\"],f=[0,0,25,16,12,11,10,9,8,8,7,7,7,7,6,6,6,6,6,6,6,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],h=[0,0,33554432,43046721,16777216,48828125,60466176,40353607,16777216,43046721,1e7,19487171,35831808,62748517,7529536,11390625,16777216,24137569,34012224,47045881,64e6,4084101,5153632,6436343,7962624,9765625,11881376,14348907,17210368,20511149,243e5,28629151,33554432,39135393,45435424,52521875,60466176];function p(t,e,r){r.negative=e.negative^t.negative;var n=t.length+e.length|0;r.length=n,n=n-1|0;var i=0|t.words[0],a=0|e.words[0],o=i*a,s=67108863&o,l=o/67108864|0;r.words[0]=s;for(var u=1;u<n;u++){for(var c=l>>>26,f=67108863&l,h=Math.min(u,e.length-1),p=Math.max(0,u-t.length+1);p<=h;p++){var d=u-p|0;c+=(o=(i=0|t.words[d])*(a=0|e.words[p])+f)/67108864|0,f=67108863&o}r.words[u]=0|f,l=0|c}return 0!==l?r.words[u]=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 u=f[t],p=h[t];r=\"\";var d=this.clone();for(d.negative=0;!d.isZero();){var v=d.modn(p).toString(t);r=(d=d.idivn(p)).isZero()?v+r:c[u-v.length]+v+r}for(this.isZero()&&(r=\"0\"+r);r.length%e!=0;)r=\"0\"+r;return 0!==this.negative&&(r=\"-\"+r),r}n(!1,\"Base 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32-Math.clz32(t)}:a.prototype._countBits=function(t){var e=t,r=0;return e>=4096&&(r+=13,e>>>=13),e>=64&&(r+=7,e>>>=7),e>=8&&(r+=4,e>>>=4),e>=2&&(r+=2,e>>>=2),r+e},a.prototype._zeroBits=function(t){if(0===t)return 26;var e=t,r=0;return 0==(8191&e)&&(r+=13,e>>>=13),0==(127&e)&&(r+=7,e>>>=7),0==(15&e)&&(r+=4,e>>>=4),0==(3&e)&&(r+=2,e>>>=2),0==(1&e)&&r++,r},a.prototype.bitLength=function(){var t=this.words[this.length-1],e=this._countBits(t);return 26*(this.length-1)+e},a.prototype.zeroBits=function(){if(this.isZero())return 0;for(var t=0,e=0;e<this.length;e++){var r=this._zeroBits(this.words[e]);if(t+=r,26!==r)break}return t},a.prototype.byteLength=function(){return Math.ceil(this.bitLength()/8)},a.prototype.toTwos=function(t){return 0!==this.negative?this.abs().inotn(t).iaddn(1):this.clone()},a.prototype.fromTwos=function(t){return this.testn(t-1)?this.notn(t).iaddn(1).ineg():this.clone()},a.prototype.isNeg=function(){return 0!==this.negative},a.prototype.neg=function(){return this.clone().ineg()},a.prototype.ineg=function(){return this.isZero()||(this.negative^=1),this},a.prototype.iuor=function(t){for(;this.length<t.length;)this.words[this.length++]=0;for(var e=0;e<t.length;e++)this.words[e]=this.words[e]|t.words[e];return this.strip()},a.prototype.ior=function(t){return n(0==(this.negative|t.negative)),this.iuor(t)},a.prototype.or=function(t){return this.length>t.length?this.clone().ior(t):t.clone().ior(this)},a.prototype.uor=function(t){return this.length>t.length?this.clone().iuor(t):t.clone().iuor(this)},a.prototype.iuand=function(t){var e;e=this.length>t.length?t:this;for(var r=0;r<e.length;r++)this.words[r]=this.words[r]&t.words[r];return this.length=e.length,this.strip()},a.prototype.iand=function(t){return n(0==(this.negative|t.negative)),this.iuand(t)},a.prototype.and=function(t){return this.length>t.length?this.clone().iand(t):t.clone().iand(this)},a.prototype.uand=function(t){return this.length>t.length?this.clone().iuand(t):t.clone().iuand(this)},a.prototype.iuxor=function(t){var 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 d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,u=0,c=0|o[0],f=8191&c,h=c>>>13,p=0|o[1],d=8191&p,v=p>>>13,g=0|o[2],y=8191&g,m=g>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],L=8191&E,C=E>>>13,P=0|o[7],O=8191&P,I=P>>>13,D=0|o[8],z=8191&D,R=D>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,H=0|s[1],q=8191&H,G=H>>>13,Z=0|s[2],Y=8191&Z,W=Z>>>13,X=0|s[3],J=8191&X,K=X>>>13,$=0|s[4],Q=8191&$,tt=$>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ut=st>>>13,ct=0|s[8],ft=8191&ct,ht=ct>>>13,pt=0|s[9],dt=8191&pt,vt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(u+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;u=((a=Math.imul(h,V))+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(v,U)|0,a=Math.imul(v,V);var yt=(u+(n=n+Math.imul(f,q)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,q)|0))<<13)|0;u=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(y,U),i=(i=Math.imul(y,V))+Math.imul(m,U)|0,a=Math.imul(m,V),n=n+Math.imul(d,q)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(v,q)|0,a=a+Math.imul(v,G)|0;var mt=(u+(n=n+Math.imul(f,Y)|0)|0)+((8191&(i=(i=i+Math.imul(f,W)|0)+Math.imul(h,Y)|0))<<13)|0;u=((a=a+Math.imul(h,W)|0)+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(y,q)|0,i=(i=i+Math.imul(y,G)|0)+Math.imul(m,q)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(d,Y)|0,i=(i=i+Math.imul(d,W)|0)+Math.imul(v,Y)|0,a=a+Math.imul(v,W)|0;var xt=(u+(n=n+Math.imul(f,J)|0)|0)+((8191&(i=(i=i+Math.imul(f,K)|0)+Math.imul(h,J)|0))<<13)|0;u=((a=a+Math.imul(h,K)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,q)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(y,Y)|0,i=(i=i+Math.imul(y,W)|0)+Math.imul(m,Y)|0,a=a+Math.imul(m,W)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(v,J)|0,a=a+Math.imul(v,K)|0;var bt=(u+(n=n+Math.imul(f,Q)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,Q)|0))<<13)|0;u=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,q)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,Y)|0,i=(i=i+Math.imul(b,W)|0)+Math.imul(_,Y)|0,a=a+Math.imul(_,W)|0,n=n+Math.imul(y,J)|0,i=(i=i+Math.imul(y,K)|0)+Math.imul(m,J)|0,a=a+Math.imul(m,K)|0,n=n+Math.imul(d,Q)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(v,Q)|0,a=a+Math.imul(v,tt)|0;var _t=(u+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;u=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,q)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,Y)|0,i=(i=i+Math.imul(T,W)|0)+Math.imul(k,Y)|0,a=a+Math.imul(k,W)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(y,Q)|0,i=(i=i+Math.imul(y,tt)|0)+Math.imul(m,Q)|0,a=a+Math.imul(m,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(v,rt)|0,a=a+Math.imul(v,nt)|0;var wt=(u+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;u=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(O,U),i=(i=Math.imul(O,V))+Math.imul(I,U)|0,a=Math.imul(I,V),n=n+Math.imul(L,q)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,Y)|0,i=(i=i+Math.imul(M,W)|0)+Math.imul(S,Y)|0,a=a+Math.imul(S,W)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(k,J)|0,a=a+Math.imul(k,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(y,rt)|0,i=(i=i+Math.imul(y,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(v,at)|0,a=a+Math.imul(v,ot)|0;var Tt=(u+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ut)|0)+Math.imul(h,lt)|0))<<13)|0;u=((a=a+Math.imul(h,ut)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(z,U),i=(i=Math.imul(z,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(O,q)|0,i=(i=i+Math.imul(O,G)|0)+Math.imul(I,q)|0,a=a+Math.imul(I,G)|0,n=n+Math.imul(L,Y)|0,i=(i=i+Math.imul(L,W)|0)+Math.imul(C,Y)|0,a=a+Math.imul(C,W)|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(T,Q)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,Q)|0,a=a+Math.imul(k,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(y,at)|0,i=(i=i+Math.imul(y,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ut)|0)+Math.imul(v,lt)|0,a=a+Math.imul(v,ut)|0;var kt=(u+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;u=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=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(z,q)|0,i=(i=i+Math.imul(z,G)|0)+Math.imul(R,q)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(O,Y)|0,i=(i=i+Math.imul(O,W)|0)+Math.imul(I,Y)|0,a=a+Math.imul(I,W)|0,n=n+Math.imul(L,J)|0,i=(i=i+Math.imul(L,K)|0)+Math.imul(C,J)|0,a=a+Math.imul(C,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(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,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(y,lt)|0,i=(i=i+Math.imul(y,ut)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ut)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(v,ft)|0,a=a+Math.imul(v,ht)|0;var At=(u+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,vt)|0)+Math.imul(h,dt)|0))<<13)|0;u=((a=a+Math.imul(h,vt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,q),i=(i=Math.imul(B,G))+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(z,Y)|0,i=(i=i+Math.imul(z,W)|0)+Math.imul(R,Y)|0,a=a+Math.imul(R,W)|0,n=n+Math.imul(O,J)|0,i=(i=i+Math.imul(O,K)|0)+Math.imul(I,J)|0,a=a+Math.imul(I,K)|0,n=n+Math.imul(L,Q)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,Q)|0,a=a+Math.imul(C,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(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ut)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(y,ft)|0,i=(i=i+Math.imul(y,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var Mt=(u+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,vt)|0)+Math.imul(v,dt)|0))<<13)|0;u=((a=a+Math.imul(v,vt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,Y),i=(i=Math.imul(B,W))+Math.imul(N,Y)|0,a=Math.imul(N,W),n=n+Math.imul(z,J)|0,i=(i=i+Math.imul(z,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(I,Q)|0,a=a+Math.imul(I,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,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(T,lt)|0,i=(i=i+Math.imul(T,ut)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ut)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(u+(n=n+Math.imul(y,dt)|0)|0)+((8191&(i=(i=i+Math.imul(y,vt)|0)+Math.imul(m,dt)|0))<<13)|0;u=((a=a+Math.imul(m,vt)|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(z,Q)|0,i=(i=i+Math.imul(z,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(I,rt)|0,a=a+Math.imul(I,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ut)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(u+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,vt)|0)+Math.imul(_,dt)|0))<<13)|0;u=((a=a+Math.imul(_,vt)|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(z,rt)|0,i=(i=i+Math.imul(z,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(I,at)|0,a=a+Math.imul(I,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ut)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(u+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,vt)|0)+Math.imul(k,dt)|0))<<13)|0;u=((a=a+Math.imul(k,vt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=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(z,at)|0,i=(i=i+Math.imul(z,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,ut)|0)+Math.imul(I,lt)|0,a=a+Math.imul(I,ut)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(u+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,vt)|0)+Math.imul(S,dt)|0))<<13)|0;u=((a=a+Math.imul(S,vt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=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(z,lt)|0,i=(i=i+Math.imul(z,ut)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ut)|0,n=n+Math.imul(O,ft)|0,i=(i=i+Math.imul(O,ht)|0)+Math.imul(I,ft)|0,a=a+Math.imul(I,ht)|0;var Pt=(u+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,vt)|0)+Math.imul(C,dt)|0))<<13)|0;u=((a=a+Math.imul(C,vt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ut))+Math.imul(N,lt)|0,a=Math.imul(N,ut),n=n+Math.imul(z,ft)|0,i=(i=i+Math.imul(z,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var Ot=(u+(n=n+Math.imul(O,dt)|0)|0)+((8191&(i=(i=i+Math.imul(O,vt)|0)+Math.imul(I,dt)|0))<<13)|0;u=((a=a+Math.imul(I,vt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var It=(u+(n=n+Math.imul(z,dt)|0)|0)+((8191&(i=(i=i+Math.imul(z,vt)|0)+Math.imul(R,dt)|0))<<13)|0;u=((a=a+Math.imul(R,vt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863;var Dt=(u+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,vt))+Math.imul(N,dt)|0))<<13)|0;return u=((a=Math.imul(N,vt))+(i>>>13)|0)+(Dt>>>26)|0,Dt&=67108863,l[0]=gt,l[1]=yt,l[2]=mt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=Ot,l[17]=It,l[18]=Dt,0!==u&&(l[19]=u,r.length++),r};function v(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r,n=this.length+t.length;return r=10===this.length&&10===t.length?d(this,t,e):n<63?p(this,t,e):n<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),u=Math.max(0,a-t.length+1);u<=l;u++){var c=a-u,f=(0|t.words[c])*(0|e.words[u]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>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):v(this,t,e),r},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),u=Math.sin(2*Math.PI/s),c=0;c<i;c+=s)for(var f=l,h=u,p=0;p<o;p++){var d=r[c+p],v=n[c+p],g=r[c+p+o],y=n[c+p+o],m=f*g-h*y;y=f*y+h*g,g=m,r[c+p]=d+g,n[c+p]=v+y,r[c+p+o]=d-g,n[c+p+o]=v-y,p!==s&&(m=l*f-u*h,h=l*h+u*f,f=m)}},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),u=new Array(n),c=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,u,n),this.transform(o,a,s,l,n,i),this.transform(u,a,c,f,n,i);for(var p=0;p<n;p++){var d=s[p]*c[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*c[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,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),v(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 u=0;u<o;u++)l.words[u]=this.words[u];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,u=0;u<this.length;u++)this.words[u]=this.words[u+o];else this.words[0]=0,this.length=1;var c=0;for(u=this.length-1;u>=0&&(0!==c||u>=i);u--){var f=0|this.words[u];this.words[u]=c<<26-a|f>>>a,c=f&s}return l&&0!==c&&(l.words[l.length++]=c),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r||!(this.words[r]&i))},a.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,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 u=0;u<s.length;u++)s.words[u]=0}var c=n.clone()._ishlnsubmul(i,1,l);0===c.negative&&(n=c,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}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),u=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(c),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,v=1;0==(r.words[0]&v)&&d<26;++d,v<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(u)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var u=0,c=1;0==(e.words[0]&c)&&u<26;++u,c<<=1);if(u>0)for(e.iushrn(u);u-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >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 T(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 y={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 x(){m.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function b(){m.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function _(){m.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function w(){m.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function T(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){T.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):void 0!==r.strip?r.strip():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(x,m),x.prototype.split=function(t,e){for(var r=4194303,n=Math.min(t.length,9),i=0;i<n;i++)e.words[i]=t.words[i];if(e.length=n,t.length<=9)return t.words[0]=0,void(t.length=1);var a=t.words[9];for(e.words[e.length++]=a&r,i=10;i<t.length;i++){var o=0|t.words[i];t.words[i-10]=(o&r)<<4|a>>>22,a=o}a>>>=22,t.words[i-10]=a,0===a&&t.length>10?t.length-=10:t.length-=9},x.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(b,m),i(_,m),i(w,m),w.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(y[t])return y[t];var e;if(\"k256\"===t)e=new x;else if(\"p224\"===t)e=new b;else if(\"p192\"===t)e=new _;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new w}return y[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},T.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\")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.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)},T.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},T.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)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),u=this.m.subn(1).iushrn(1),c=this.m.bitLength();for(c=new a(2*c*c).toRed(this);0!==this.pow(c,u).cmp(l);)c.redIAdd(l);for(var f=this.pow(c,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var v=p,g=0;0!==v.cmp(s);g++)v=v.redSqr();n(g<d);var y=this.pow(f,new a(1).iushln(d-g-1));h=h.redMul(y),f=y.redSqr(),p=p.redMul(f),d=g}return h},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.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 u=e.words[n],c=l-1;c>=0;c--){var 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s=(o=a.left=r(o)).right=r(o.right),a.left=s.right,o.right=s.left,s.right=a,s.left=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((u=t[l-2]).right===a?u.right=s:u.left=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.left=n(0,o));a.left=n(0,o);continue}var u;o=r(o),a.left=o.right,o.right=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((u=t[l-2]).right===a?u.right=o:u.left=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(o),p.left===s?p.left=null:p.right=null,new a(this.tree._compare,o[0])},Object.defineProperty(f,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(f,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(f,\"index\",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:!0}),f.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(f,\"hasNext\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),f.update=function(t){var r=this._stack;if(0===r.length)throw new Error(\"Can't update empty node!\");var n=new Array(r.length),i=r[r.length-1];n[n.length-1]=new e(i._color,i.key,t,i.left,i.right,i._count);for(var o=r.length-2;o>=0;--o)(i=r[o]).left===r[o+1]?n[o]=new e(i._color,i.key,i.value,n[o+1],i.right,i._count):n[o]=new e(i._color,i.key,i.value,i.left,n[o+1],i._count);return new a(this.tree._compare,n[0])},f.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(f,\"hasPrev\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},7453:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=new c(t);return r.update(e),r};var n=r(9557),i=r(1681),a=r(1011),o=r(2864),s=r(8468),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function u(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function c(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 f=c.prototype;function h(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}f.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),u=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]})),c=!1,f=!1;if(\"bounds\"in t)for(var h=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)h[p][d]!==this.bounds[p][d]&&(f=!0),this.bounds[p][d]=h[p][d];if(\"ticks\"in t)for(r=t.ticks,c=!0,this.autoTicks=!1,p=0;p<3;++p)this.tickSpacing[p]=0;else a(\"tickSpacing\")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),f=!0,c=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),c=!0),c){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?c=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(c=!0),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),u(\"tickColor\");var v=l(\"labels\");l(\"labelFont\")&&(v=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),u(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),u(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),u(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),u(\"gridColor\"),o(\"zeroEnable\"),u(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),u(\"backgroundColor\"),this._text?this._text&&(v||c)&&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&&c&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,u=n[e],c=0;c<3;++c)if(e!==c){var f=a,h=s,p=o,d=l;u&1<<c&&(f=s,h=a,p=l,d=o),f[c]=r[0][c],h[c]=r[1][c],i[c]>0?(p[c]=-1,d[c]=0):(p[c]=0,d[c]=1)}}var v=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var y=[0,0,0],m=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,c=o(r,n,i,a,s),f=c.cubeEdges,h=c.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E,L,C=v;for(A=0;A<3;++A)this.backgroundEnable[A]?C[A]=h[A]:C[A]=0;for(this._background.draw(r,n,i,a,C,this.backgroundColor),this._lines.bind(r,n,i,this),A=0;A<3;++A){var P=[0,0,0];h[A]>0?P[A]=a[1][A]:P[A]=a[0][A];for(var O=0;O<2;++O){var I=(A+1+O)%3,D=(A+1+(1^O))%3;this.gridEnable[I]&&this._lines.drawGrid(I,D,this.bounds,P,this.gridColor[I],this.gridWidth[I]*this.pixelRatio)}for(O=0;O<2;++O)I=(A+1+O)%3,D=(A+1+(1^O))%3,this.zeroEnable[D]&&Math.min(a[0][D],a[1][D])<=0&&Math.max(a[0][D],a[1][D])>=0&&this._lines.drawZero(I,D,this.bounds,P,this.zeroLineColor[D],this.zeroLineWidth[D]*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=u(y,M[A].primalMinor),R=u(m,M[A].mirrorMinor),F=this.lineTickLength;for(O=0;O<3;++O){var B=k/r[5*O];z[O]*=F[O]*B,R[O]*=F[O]*B}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,R,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}function N(t){(L=[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||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio),A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,H=u(x,M[A].primalOffset);for(O=0;O<3;++O)this.lineTickEnable[A]&&(H[O]+=k*U[O]*Math.max(this.lineTickLength[O],0)/r[5*O]);var q=[0,0,0];if(q[A]=1,this.tickEnable[A]){for(-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]=\"auto\"):this.tickAlign[A]=-1,E=1,\"auto\"===(S=[this.tickAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),L=[0,0,0],j(A,U,V),O=0;O<3;++O)H[O]+=k*U[O]*this.tickPad[O]/r[5*O];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],H,this.tickColor[A],q,L,S)}if(this.labelEnable[A]){for(E=0,L=[0,0,0],this.labels[A].length>4&&(N(A),E=1),\"auto\"===(S=[this.labelAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),O=0;O<3;++O)H[O]+=k*U[O]*this.labelPad[O]/r[5*O];H[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],H,this.labelColor[A],[0,0,0],L,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},1011:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[u]=d;for(var v=-1;v<=1;v+=2)f[c]=v,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=u;u=c,c=g}var y=n(t,new Float32Array(e)),m=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:y,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:y,type:t.FLOAT,size:3,offset:12,stride:24}],m),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,y,x,b)};var n=r(5827),i=r(2944),a=r(1943).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()}},2864:function(t,e,r){\"use strict\";t.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var m=0,x=0;x<2;++x){c[2]=a[x][2];for(var b=0;b<2;++b){c[1]=a[b][1];for(var _=0;_<2;++_)c[0]=a[_][0],h(l[m],c,s),m+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)u[x][k]=l[x][k]/T;p&&(u[x][2]*=-1),T<0&&(w<0||u[x][2]<u[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,L=-1,C=0;C<2;++C){var P=(I=C<<A)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);o(u[I],u[P],u[O],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<A);else{for(C=0;C<2;++C){P=(I=C<<A)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);var I,D=d([l[I],l[P],l[O],l[I+(1<<M)+(1<<S)]]);C?E=D:L=D}L>E&&(w|=1<<A)}}}var z=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==z&&(R<0||u[R][1]>u[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x)(N=R^1<<x)!==w&&N!==z&&(F<0&&(F=N),(S=u[N])[0]<u[F][0]&&(F=N));var B=-1;for(x=0;x<3;++x){var N;(N=R^1<<x)!==w&&N!==z&&N!==F&&(B<0&&(B=N),(S=u[N])[0]>u[B][0]&&(B=N))}var j=v;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===z?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,H=w;for(A=0;A<3;++A)V[A]=H&1<<A?-1:1;return y};var n=r(2288),i=r(104),a=r(4670),o=r(417),s=new Array(16),l=new Array(8),u=new Array(8),c=new Array(3),f=[0,0,0];function h(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],u[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],u=s[0]/s[3]-n,c=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(u*h-c*f)}return o}var v=[1,1,1],g=[0,0,0],y={cubeEdges:v,axis:g}},1681:function(t,e,r){\"use strict\";t.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[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 f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var v=+r[f][d].x;o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1)}var g=o.length/3|0;s[f]=h,l[f]=g-h,h=o.length/3|0;for(var y=0;y<r[f].length;++y)v=+r[f][y].x,o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1);g=o.length/3|0,u[f]=h,c[f]=g-h}var m=n(t,new Float32Array(o)),x=i(t,[{buffer:m,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,m,x,b,l,s,c,u)};var n=r(5827),i=r(2944),a=r(1943).j,o=[0,0,0],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(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,c[0]=this.gl.drawingBufferWidth,c[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=c,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,c=h(u,r);c[t]+=e[0][t],this.shader.uniforms.offset=c,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(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=f(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=f(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 c=f(s);c[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=c;var p=h(u,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var v=f(l);v[t]=1,this.shader.uniforms.screenAxis=v,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=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var c=h(u,n);c[t]+=r[0][t],this.shader.uniforms.offset=c;var p=f(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()}},1943:function(t,e,r){\"use strict\";var n=r(6832),i=r(5158),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}\"]);e.j=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}\"]);e.f=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var u=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}\"]),c=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}\"]);e.bg=function(t){return i(t,u,c,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},9557:function(t,e,r){\"use strict\";t.exports=function(t,e,r,i,o,l){var u=n(t),f=a(t,[{buffer:u,size:3}]),h=s(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,i,o,l),p};var n=r(5827),a=r(2944),o=r(875),s=r(1943).f,l=window||i.global||{},u=l.__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}l.__TEXT_CACHE={};var f=c.prototype,h=[0,0];f.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},f.unbind=function(){this.vao.unbind()},f.update=function(t,e,r,n,i){var a=[];function s(t,e,r,n,i,s){var l=u[r];l||(l=u[r]={});var c=l[e];c||(c=l[e]=function(t,e){try{return o(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=c.positions,p=c.cells,d=0,v=p.length;d<v;++d)for(var g=p[d],y=2;y>=0;--y){var m=h[g[y]];a.push(f*m[0],-f*m[1],t)}}for(var l=[0,0,0],c=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=a.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(a.length/3|0)-f[d],l[d]=a.length/3|0;for(var v=0;v<n[d].length;++v)n[d][v].text&&s(n[d][v].x,n[d][v].text,n[d][v].font||i,n[d][v].fontSize||12,1.25,p);c[d]=(a.length/3|0)-l[d]}this.buffer.update(a),this.tickOffset=l,this.tickCount=c,this.labelOffset=f,this.labelCount=h},f.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]))},f.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]))},f.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}},8468:function(t,e){\"use strict\";function r(t,e){var r=t+\"\",n=r.indexOf(\".\"),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/a,u=o%a;o<0?(l=0|-Math.ceil(l),u=0|-u):(l=0|Math.floor(l),u|=0);var c=\"\"+l;if(o<0&&(c=\"-\"+c),i){for(var f=\"\"+u;f.length<i;)f=\"0\"+f;return c+\".\"+f}return c}e.create=function(t,e){for(var n=[],i=0;i<3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]<=t[1][i];++o)a.push({x:o*e[i],text:r(e[i],o)});for(o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:r(e[i],o)});n.push(a)}return n},e.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}},2771:function(t,e,r){\"use strict\";t.exports=function(t,e,r,l,f){var h=e.model||u,p=e.view||u,y=e.projection||u,m=e._ortho||!1,x=t.bounds,b=(f=f||a(h,p,y,x,m)).axis;o(c,p,h),o(c,y,c);for(var _=v,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(c,c));s(c,c);for(var k=0;k<3;++k){var A=(k+1)%3,M=(k+2)%3,S=g;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var L=0;L<2;++L){S[A]=x[L^w][A];for(var C=0;C<2;++C)S[M]=x[C^L^w][M],E.push(S.slice())}var P=m?5:4;for(L=P;L===P;++L){if(0===E.length)continue t;E=i.positive(E,T[L])}for(L=0;L<E.length;++L){M=E[L];var O=d(g,c,M,r,l);for(C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,M[C]),_[C].hi=Math.max(_[C].hi,M[C]),C!==k&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(O[C])))}}}}return _};var n=r(5795),i=r(4670),a=r(2864),o=r(104),s=r(2142),l=r(6342),u=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),c=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[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=h,s=p,u=0;u<3;++u)s[u]=o[u]=r[u];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 c=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(c*c+f*f)}return t}var v=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],g=[0,0,0]},5827:function(t,e,r){\"use strict\";var n=r(5306),i=r(7498),a=r(5050),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 u(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 c(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&&void 0!==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\"),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=u(this.gl,this.type,this.length,this.usage,t.data,e):this.length=u(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=u(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 f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?c(t,\"uint16\"):c(t,\"float32\"),this.length=u(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=u(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}},t.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}},1140:function(t,e,r){\"use strict\";var n=r(2858);t.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,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]),a;for(var o=0,s=1/0,l=-1/0,u=1/0,c=-1/0,f=1/0,h=-1/0,p=null,d=null,v=[],g=1/0,y=!1,m=0;m<r.length;m++){var x=r[m];s=Math.min(x[0],s),l=Math.max(x[0],l),u=Math.min(x[1],u),c=Math.max(x[1],c),f=Math.min(x[2],f),h=Math.max(x[2],h);var b=i[m];if(n.length(b)>o&&(o=n.length(b)),m){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(g=Math.min(g,_),y=!1):y=!0}y||(p=x,d=b),v.push(b)}var w=[s,u,f],T=[l,c,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(g)||(g=1),a.vectorScale=g;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A,m=0;for(var M=0;m<r.length;m++)for(var S=(x=r[m])[0],E=x[1],L=x[2],C=v[m],P=n.length(C)*k,O=0;O<8;O++){a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var I=a.positions.length;a.cells.push([I-6,I-5,I-4],[I-3,I-2,I-1])}return a};var i=r(7234);t.exports.createMesh=r(5028),t.exports.createConeMesh=function(e,r){return t.exports.createMesh(e,r,{shaders:i,traceType:\"cone\"})}},5028:function(t,e,r){\"use strict\";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(104),l=r(7437),u=r(5050),c=r(9156),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,u,c){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.triangleUVs=l,this.triangleIds=o,this.triangleVAO=u,this.triangleCount=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.traceType=c,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.prototype;p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"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.tubeScale&&(this.tubeScale=t.tubeScale),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.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=c({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=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,v=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],v=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var y=p[g];d=Math.min(d,y),v=Math.max(v,y)}else for(g=0;g<n.length;++g)y=n[g][2],d=Math.min(d,y),v=Math.max(v,y);for(this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],g=0;g<n.length;++g)for(var m=n[g],x=0;x<3;++x)!isNaN(m[x])&&isFinite(m[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],m[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],m[x]));var b=0;t:for(g=0;g<r.length;++g){var _=r[g];if(3===_.length){for(x=0;x<3;++x){m=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(m[w])||!isFinite(m[w]))continue t}for(x=0;x<3;++x){var T;m=n[T=_[2-x]],a.push(m[0],m[1],m[2],m[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var A,M=h;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),A=p?[(p[T]-d)/(v-d),0]:[(m[2]-d)/(v-d),0],l.push(A[0],A[1]),f.push(g)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,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 u={model:r,view:n,projection:i,inverseModel:f.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,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};u.inverseModel=l(u.inverseModel,u.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(s(c,u.view,u.model),s(c,u.projection,c),l(c,c),o=0;o<3;++o)u.eyePosition[o]=c[12+o]/c[15];var h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];u.lightPosition[o]=p/h}if(this.triangleCount>0){var v=this.triShader;v.bind(),v.uniforms=u,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,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,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())},p.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),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?i.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.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.triangleIds.dispose()},t.exports=function(t,e,r){var s=r.shaders;1===arguments.length&&(t=(e=t).gl);var l=function(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}(t,s),c=function(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}(t,s),f=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));f.generateMipmap(),f.minFilter=t.LINEAR_MIPMAP_LINEAR,f.magFilter=t.LINEAR;var p=i(t),d=i(t),v=i(t),g=i(t),y=i(t),m=new h(t,f,l,c,p,d,y,v,g,a(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||\"cone\");return m.update(e),m}},7234:function(t,e,r){var n=r(6832),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;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, 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, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, 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 vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, 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.xyz), 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}\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},1950:function(t){t.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\",34e3:\"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\"}},6603:function(t,e,r){var n=r(1950);t.exports=function(t){return n[t]}},3110:function(t,e,r){\"use strict\";t.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 u=new s(e,r,o,l);return u.update(t),u};var n=r(5827),i=r(2944),a=r(7667),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 u(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],u=n[15],c=(t._ortho?2:1)*this.pixelRatio*(i[3]*a+i[7]*s+i[11]*l+i[15]*u)/e.drawingBufferHeight;this.vao.bind();for(var f=0;f<3;++f)e.lineWidth(this.lineWidth[f]*this.pixelRatio),r.capSize=this.capSize[f]*c,this.lineCount[f]&&e.drawArrays(e.LINES,this.lineOffset[f],this.lineCount[f]);this.vao.unbind()};var c=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 f(t,e,r,n){for(var i=c[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 c=r[l],h=0;h<3;++h)if(isNaN(c[h])||!isFinite(c[h]))continue t;var p,d=n[l],v=e[s];Array.isArray(v[0])&&(v=e[l]),3===v.length?v=[v[0],v[1],v[2],1]:4===v.length&&(v=[v[0],v[1],v[2],v[3]],!this.hasAlpha&&v[3]<1&&(this.hasAlpha=!0)),isNaN(d[0][s])||isNaN(d[1][s])||(d[0][s]<0&&((p=c.slice())[s]+=d[0][s],i.push(c[0],c[1],c[2],v[0],v[1],v[2],v[3],0,0,0,p[0],p[1],p[2],v[0],v[1],v[2],v[3],0,0,0),u(this.bounds,p),o+=2+f(i,p,v,s)),d[1][s]>0&&((p=c.slice())[s]+=d[1][s],i.push(c[0],c[1],c[2],v[0],v[1],v[2],v[3],0,0,0,p[0],p[1],p[2],v[0],v[1],v[2],v[3],0,0,0),u(this.bounds,p),o+=2+f(i,p,v,s)))}this.lineCount[s]=o-this.lineOffset[s]}this.buffer.update(i)}},l.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},7667:function(t,e,r){\"use strict\";var n=r(6832),i=r(5158),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}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}},4234:function(t,e,r){\"use strict\";var n=r(8931);t.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 u=t.getExtension(\"WEBGL_draw_buffers\");if(!l&&u&&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(a=n;a<r;++a)i[a]=t.NONE;l[n]=i}}(t,u),Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]),\"number\"!=typeof e)throw new Error(\"gl-fbo: Missing shape parameter\");var c=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>c||r<0||r>c)throw new Error(\"gl-fbo: Parameters are too large for FBO\");var f=1;if(\"color\"in(n=n||{})){if((f=Math.max(0|n.color,0))<0)throw new Error(\"gl-fbo: Must specify a nonnegative number of colors\");if(f>1){if(!u)throw new Error(\"gl-fbo: Multiple draw buffer extension not supported\");if(f>t.getParameter(u.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error(\"gl-fbo: Context does not support \"+f+\" draw buffers\")}}var h=t.UNSIGNED_BYTE,p=t.getExtension(\"OES_texture_float\");if(n.float&&f>0){if(!p)throw new Error(\"gl-fbo: Context does not support floating point textures\");h=t.FLOAT}else n.preferFloat&&f>0&&p&&(h=t.FLOAT);var v=!0;\"depth\"in n&&(v=!!n.depth);var g=!1;return\"stencil\"in n&&(g=!!n.stencil),new d(t,e,r,h,f,v,g,u)};var i,a,o,s,l=null;function u(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function c(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(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 h(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 v=this,g=[0|e,0|r];Object.defineProperties(g,{0:{get:function(){return v._shape[0]},set:function(t){return v.width=t}},1:{get:function(){return v._shape[1]},set:function(t){return v.height=t}}}),this._shapeVector=g,function(t){var e=u(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,v=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var y=0;y<o;++y)t.color[y]=h(r,i,a,g,r.RGBA,r.COLOR_ATTACHMENT0+y);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 m=r.getExtension(\"WEBGL_depth_texture\");m?d?t.depth=h(r,i,a,m.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):v&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v?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),y=0;y<t.color.length;++y)t.color[y].dispose(),t.color[y]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),c(r,e),f(x)}c(r,e)}(this)}var v=d.prototype;function g(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=u(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(),c(n,a),f(s)),c(n,a)}}Object.defineProperties(v,{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 g(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return g(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,g(this,this._shape[0],t),t},enumerable:!1}}),v.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])}},v.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)}}},3530:function(t,e,r){var n=r(8974).sprintf,i=r(6603),a=r(9365),o=r(8008);t.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 u=n(\"Error compiling %s shader %s:\\n\",l,s),c=n(\"%s%s\",u,t),f=t.split(\"\\n\"),h={},p=0;p<f.length;p++){var d=f[p];if(\"\"!==d&&\"\\0\"!==d){var v=parseInt(d.split(\":\")[2]);if(isNaN(v))throw new Error(n(\"Could not parse error: %s\",d));h[v]=d}}var g=o(e).split(\"\\n\");for(p=0;p<g.length;p++)if((h[p+3]||h[p+2]||h[p+1])&&(u+=g[p]+\"\\n\",h[p+1])){var y=h[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),u+=n(\"^^^ %s\\n\\n\",y)}return{long:u.trim(),short:c.trim()}}},6386:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=t.gl,n=new u(t,o(r,l.vertex,l.fragment),o(r,l.pickVertex,l.pickFragment),s(r),s(r),s(r),s(r));return n.update(e),t.addObject(n),n};var n=r(5070),i=r(9560),a=r(5306),o=r(5158),s=r(5827),l=r(1292);function u(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 c,f=u.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(c=[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],u=a[3]-a[1];c[0]=2*o/l,c[4]=2*s/u,c[6]=2*(r[0]-a[0])/l-1,c[7]=2*(r[1]-a[1])/u-1,e.bind();var f=e.uniforms;f.viewTransform=c,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,u=a[2]-a[0],c=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*u/f,t[4]=2*c/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-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 v=i.attributes;return this.positionBuffer.bind(),v.position.pointer(),this.weightBuffer.bind(),v.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),v.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.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]]}},f.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]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var u,c,f,p,d=t.colorLevels||[0],v=t.colorValues||[0,0,0,1],g=d.length,y=this.bounds;l?(u=y[0]=r[0],c=y[1]=o[0],f=y[2]=r[r.length-1],p=y[3]=o[o.length-1]):(u=y[0]=r[0]+(r[1]-r[0])/2,c=y[1]=o[0]+(o[1]-o[0])/2,f=y[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=y[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var m=1/(f-u),x=1/(p-c),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var P,O;l?(P=x*(o[C]-c),O=x*(o[C+1]-c)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-c):x*(o[C]-(o[C]-o[C-1])/2-c),O=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-c):x*(o[C]+(o[C]-o[C-1])/2-c));for(var I=0;I<E;++I){var D,z;l?(D=m*(r[I]-u),z=m*(r[I+1]-u)):(D=I<b-1?m*(r[I]-(r[I+1]-r[I])/2-u):m*(r[I]-(r[I]-r[I-1])/2-u),z=I<b-1?m*(r[I]+(r[I+1]-r[I])/2-u):m*(r[I]+(r[I]-r[I-1])/2-u));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],H=s[l?(C+V)*b+(I+U):C*b+I],q=n.le(d,H);if(q<0)F=v[0],B=v[1],N=v[2],j=v[3];else if(q===g-1)F=v[4*g-4],B=v[4*g-3],N=v[4*g-2],j=v[4*g-1];else{var G=(H-d[q])/(d[q+1]-d[q]),Z=1-G,Y=4*q,W=4*(q+1);F=Z*v[Y]+G*v[W],B=Z*v[Y+1]+G*v[W+1],N=Z*v[Y+2]+G*v[W+2],j=Z*v[Y+3]+G*v[W+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*D+.5*z,k[2*S+1]=.5*P+.5*O,A[2*S]=U,A[2*S+1]=V,M[S]=C*b+I,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(A),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(k),a.free(T),a.free(A),a.free(M)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},1292:function(t,e,r){\"use strict\";var n=r(6832);t.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\"])}},248:function(t,e,r){var n=r(6832),i=r(5158),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\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  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  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  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  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, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];e.createShader=function(t){return i(t,a,o,null,l)},e.createPickShader=function(t){return i(t,a,s,null,l)}},6086:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(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),l=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}]),c=u(new Array(1024),[256,1,4]),p=0;p<1024;++p)c.data[p]=255;var d=a(e,c);d.wrap=e.REPEAT;var v=new y(e,r,o,s,l,d);return v.update(t),v};var n=r(5827),i=r(2944),a=r(8931),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(5070),u=r(5050),c=r(248),f=c.createShader,h=c.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(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 v(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 y(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=y.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||p,view:t.view||p,projection:t.projection||p,clipBounds:v(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||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:v(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=[],s=0,c=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],v=t.lineWidth||1,g=!1;t:for(e=1;e<h.length;++e){var y,m,x,b=h[e-1],_=h[e];for(a.push(s),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]);c+=2,g=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(y=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],m=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):y=m=p,3===y.length&&(y=[y[0],y[1],y[2],1]),3===m.length&&(m=[m[0],m[1],m[2],1]),!this.hasAlpha&&y[3]<1&&(this.hasAlpha=!0),x=Array.isArray(v)?v.length>e-1?v[e-1]:v.length>0?v[v.length-1]:[0,0,0,1]:v;var T=s;if(s+=d(b,_),g){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3]);c+=2,g=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,m[0],m[1],m[2],m[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,m[0],m[1],m[2],m[3]),c+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=c,this.points=o,this.arcLength=a,\"dashes\"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e<k.length;++e)k[e]=k[e-1]+k[e];var A=u(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&l.le(k,k[k.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=function(t,e,r,n){return o[0]=0,o[1]=r,o[2]=e,o[3]=t,s[0]}(t.value[0],t.value[1],t.value[2]),r=l.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]),u=1-a,c=[0,0,0],f=0;f<3;++f)c[f]=u*n[f]+a*i[f];var h=Math.min(a<.5?r:r+1,this.points.length-1);return new g(e,c,h,this.points[h])}},7332:function(t){t.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}},9823:function(t){t.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}},7787:function(t){t.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],u=t[8],c=t[9],f=t[10],h=t[11],p=t[12],d=t[13],v=t[14],g=t[15];return(e*o-r*a)*(f*g-h*v)-(e*s-n*a)*(c*g-h*d)+(e*l-i*a)*(c*v-f*d)+(r*s-n*o)*(u*g-h*p)-(r*l-i*o)*(u*v-f*p)+(n*l-i*s)*(u*d-c*p)}},5950:function(t){t.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,u=r*o,c=n*o,f=n*s,h=i*o,p=i*s,d=i*l,v=a*o,g=a*s,y=a*l;return t[0]=1-f-d,t[1]=c+y,t[2]=h-g,t[3]=0,t[4]=c-y,t[5]=1-u-d,t[6]=p+v,t[7]=0,t[8]=h+g,t[9]=p-v,t[10]=1-u-f,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},7280:function(t){t.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,u=a+a,c=n*s,f=n*l,h=n*u,p=i*l,d=i*u,v=a*u,g=o*s,y=o*l,m=o*u;return t[0]=1-(p+v),t[1]=f+m,t[2]=h-y,t[3]=0,t[4]=f-m,t[5]=1-(c+v),t[6]=d+g,t[7]=0,t[8]=h+y,t[9]=d-g,t[10]=1-(c+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},9947:function(t){t.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}},7437:function(t){t.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],u=e[7],c=e[8],f=e[9],h=e[10],p=e[11],d=e[12],v=e[13],g=e[14],y=e[15],m=r*s-n*o,x=r*l-i*o,b=r*u-a*o,_=n*l-i*s,w=n*u-a*s,T=i*u-a*l,k=c*v-f*d,A=c*g-h*d,M=c*y-p*d,S=f*g-h*v,E=f*y-p*v,L=h*y-p*g,C=m*L-x*E+b*S+_*M-w*A+T*k;return C?(C=1/C,t[0]=(s*L-l*E+u*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(v*T-g*w+y*_)*C,t[3]=(h*w-f*T-p*_)*C,t[4]=(l*M-o*L-u*A)*C,t[5]=(r*L-i*M+a*A)*C,t[6]=(g*b-d*T-y*x)*C,t[7]=(c*T-h*b+p*x)*C,t[8]=(o*E-s*M+u*k)*C,t[9]=(n*M-r*E-a*k)*C,t[10]=(d*w-v*b+y*m)*C,t[11]=(f*b-c*w-p*m)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(v*x-d*_-g*m)*C,t[15]=(c*_-f*x+h*m)*C,t):null}},3012:function(t,e,r){var n=r(9947);t.exports=function(t,e,r,i){var a,o,s,l,u,c,f,h,p,d,v=e[0],g=e[1],y=e[2],m=i[0],x=i[1],b=i[2],_=r[0],w=r[1],T=r[2];return Math.abs(v-_)<1e-6&&Math.abs(g-w)<1e-6&&Math.abs(y-T)<1e-6?n(t):(f=v-_,h=g-w,p=y-T,a=x*(p*=d=1/Math.sqrt(f*f+h*h+p*p))-b*(h*=d),o=b*(f*=d)-m*p,s=m*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0),l=h*s-p*o,u=p*a-f*s,c=f*o-h*a,(d=Math.sqrt(l*l+u*u+c*c))?(l*=d=1/d,u*=d,c*=d):(l=0,u=0,c=0),t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=u,t[6]=h,t[7]=0,t[8]=s,t[9]=c,t[10]=p,t[11]=0,t[12]=-(a*v+o*g+s*y),t[13]=-(l*v+u*g+c*y),t[14]=-(f*v+h*g+p*y),t[15]=1,t)}},104:function(t){t.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],f=e[8],h=e[9],p=e[10],d=e[11],v=e[12],g=e[13],y=e[14],m=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*v,t[1]=x*i+b*l+_*h+w*g,t[2]=x*a+b*u+_*p+w*y,t[3]=x*o+b*c+_*d+w*m,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*v,t[5]=x*i+b*l+_*h+w*g,t[6]=x*a+b*u+_*p+w*y,t[7]=x*o+b*c+_*d+w*m,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*v,t[9]=x*i+b*l+_*h+w*g,t[10]=x*a+b*u+_*p+w*y,t[11]=x*o+b*c+_*d+w*m,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*v,t[13]=x*i+b*l+_*h+w*g,t[14]=x*a+b*u+_*p+w*y,t[15]=x*o+b*c+_*d+w*m,t}},5268:function(t){t.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),u=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*u,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*u,t[15]=1,t}},1120:function(t){t.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}},4422:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S,E=n[0],L=n[1],C=n[2],P=Math.sqrt(E*E+L*L+C*C);return Math.abs(P)<1e-6?null:(E*=P=1/P,L*=P,C*=P,i=Math.sin(r),o=1-(a=Math.cos(r)),s=e[0],l=e[1],u=e[2],c=e[3],f=e[4],h=e[5],p=e[6],d=e[7],v=e[8],g=e[9],y=e[10],m=e[11],x=E*E*o+a,b=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,T=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,M=L*C*o-E*i,S=C*C*o+a,t[0]=s*x+f*b+v*_,t[1]=l*x+h*b+g*_,t[2]=u*x+p*b+y*_,t[3]=c*x+d*b+m*_,t[4]=s*w+f*T+v*k,t[5]=l*w+h*T+g*k,t[6]=u*w+p*T+y*k,t[7]=c*w+d*T+m*k,t[8]=s*A+f*M+v*S,t[9]=l*A+h*M+g*S,t[10]=u*A+p*M+y*S,t[11]=c*A+d*M+m*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t)}},6109:function(t){t.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],u=e[8],c=e[9],f=e[10],h=e[11];return e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[4]=a*i+u*n,t[5]=o*i+c*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=u*i-a*n,t[9]=c*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},7115:function(t){t.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],u=e[8],c=e[9],f=e[10],h=e[11];return e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i-u*n,t[1]=o*i-c*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+u*i,t[9]=o*n+c*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},5240:function(t){t.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],u=e[4],c=e[5],f=e[6],h=e[7];return e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i+u*n,t[1]=o*i+c*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=u*i-a*n,t[5]=c*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},3668:function(t){t.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}},998:function(t){t.exports=function(t,e,r){var n,i,a,o,s,l,u,c,f,h,p,d,v=r[0],g=r[1],y=r[2];return e===t?(t[12]=e[0]*v+e[4]*g+e[8]*y+e[12],t[13]=e[1]*v+e[5]*g+e[9]*y+e[13],t[14]=e[2]*v+e[6]*g+e[10]*y+e[14],t[15]=e[3]*v+e[7]*g+e[11]*y+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],f=e[8],h=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]=u,t[7]=c,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*v+s*g+f*y+e[12],t[13]=i*v+l*g+h*y+e[13],t[14]=a*v+u*g+p*y+e[14],t[15]=o*v+c*g+d*y+e[15]),t}},2142:function(t){t.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}},4340:function(t,e,r){\"use strict\";var n=r(957),i=r(7309);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])]}function s(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.exports=function(t,e,r,a,l,u){if(1===t.length)return[0,t[0].slice()];for(var c=new Array(t.length),f=0;f<t.length;++f)c[f]=o(t[f],r,a,l,u);var h=0,p=1/0;for(f=0;f<c.length;++f){for(var d=0,v=0;v<2;++v)d+=Math.pow(c[f][v]-e[v],2);d<p&&(p=d,h=f)}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))<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),y=0;for(f=0;f<3;++f){if(g[f]<-.001||g[f]>1.0001)return null;y+=g[f]}return Math.abs(y-1)>.001?null:[h,s(t,g),g]}},2056:function(t,e,r){var n=r(6832),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}\"]),u=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}\"]),c=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}\"]),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\\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}\"]),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\\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\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.pointShader={vertex:l,fragment:u,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},e.pickShader={vertex:c,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},e.pointPickShader={vertex:h,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},e.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},8116:function(t,e,r){\"use strict\";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(115),l=r(104),u=r(7437),c=r(5050),f=r(9156),h=r(7212),p=r(5306),d=r(2056),v=r(4340),g=d.meshShader,y=d.wireShader,m=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 T(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,T,k,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=c,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=u,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=y,this.edgeIds=v,this.edgeVAO=m,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,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.pickVertex=!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 k=T.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,m.vertex,m.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 L(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(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 u=r[l],c=0;c<2;++c){var f=u[0];2===u.length&&(f=u[c]);for(var d=n[f][0],v=n[f][1],g=i[f],y=1-g,m=this.positions[d],x=this.positions[v],b=0;b<3;++b)o[s++]=g*m[b]+y*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.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=f({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 c(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=[],u=[],h=[],p=[],d=[],v=[],g=[],y=[],m=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,O=t.cellUVs,I=t.cellIntensity,D=1/0,z=-1/0;if(!C&&!O)if(P)if(t.vertexIntensityBounds)D=+t.vertexIntensityBounds[0],z=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];D=Math.min(D,F),z=Math.max(z,F)}else if(I)if(t.cellIntensityBounds)D=+t.cellIntensityBounds[0],z=+t.cellIntensityBounds[1];else for(R=0;R<I.length;++R)F=I[R],D=Math.min(D,F),z=Math.max(z,F);else for(R=0;R<n.length;++R)F=n[R][2],D=Math.min(D,F),z=Math.max(z,F);this.intensity=P||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),this.pickVertex=!(I||E);var B=t.pointSizes,N=t.pointSize||1;for(this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],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,H=0,q=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[Y=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;y.push(j[0],j[1],j[2]),W=S?S[Y]:E?E[R]:L,this.opacityscale&&P?a.push(W[0],W[1],W[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===W.length?m.push(W[0],W[1],W[2],this.opacity):(m.push(W[0],W[1],W[2],W[3]*this.opacity),W[3]<1&&(this.hasAlpha=!0)),X=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],x.push(X[0],X[1]),B?b.push(B[Y]):b.push(N),_.push(R),q+=1;break;case 2:for(U=0;U<2;++U){j=n[Y=G[U]];for(var Z=0;Z<3;++Z)if(isNaN(j[Z])||!isFinite(j[Z]))continue t}for(U=0;U<2;++U)j=n[Y=G[U]],p.push(j[0],j[1],j[2]),W=S?S[Y]:E?E[R]:L,this.opacityscale&&P?a.push(W[0],W[1],W[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===W.length?d.push(W[0],W[1],W[2],this.opacity):(d.push(W[0],W[1],W[2],W[3]*this.opacity),W[3]<1&&(this.hasAlpha=!0)),X=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],v.push(X[0],X[1]),g.push(R);H+=1;break;case 3:for(U=0;U<3;++U)for(j=n[Y=G[U]],Z=0;Z<3;++Z)if(isNaN(j[Z])||!isFinite(j[Z]))continue t;for(U=0;U<3;++U){var Y,W,X,J;j=n[Y=G[2-U]],i.push(j[0],j[1],j[2]),(W=S?S[Y]:E?E[R]:L)?this.opacityscale&&P?a.push(W[0],W[1],W[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===W.length?a.push(W[0],W[1],W[2],this.opacity):(a.push(W[0],W[1],W[2],W[3]*this.opacity),W[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),X=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],u.push(X[0],X[1]),J=w?w[Y]:T[R],l.push(J[0],J[1],J[2]),h.push(R)}V+=1}}this.pointCount=q,this.edgeCount=H,this.triangleCount=V,this.pointPositions.update(y),this.pointColors.update(m),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(v),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(u),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},k.drawTransparent=k.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=u(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(l(c,s.view,s.model),l(c,s.projection,c),u(c,c),o=0;o<3;++o)s.eyePosition[o]=c[12+o]/c[15];var f,h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.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&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()),this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.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())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],u=this.positions[r[1]],c=this.positions[r[2]],f=[(l[0]+u[0]+c[0])/3,(l[1]+u[1]+c[1])/3,(l[2]+u[2]+c[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=v(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[0]]]}},k.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()},t.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,g.vertex,g.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,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}(t),l=M(t),u=S(t),f=E(t),h=L(t),p=o(t,c(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),v=i(t),m=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:v,type:t.FLOAT,size:4},{buffer:m,type:t.FLOAT,size:2},{buffer:x,type:t.FLOAT,size:3}]),w=i(t),k=i(t),A=i(t),C=i(t),P=a(t,[{buffer:w,type:t.FLOAT,size:3},{buffer:C,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:k,type:t.FLOAT,size:4},{buffer:A,type:t.FLOAT,size:2}]),O=i(t),I=i(t),D=i(t),z=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:I,type:t.FLOAT,size:4},{buffer:D,type:t.FLOAT,size:2},{buffer:z,type:t.FLOAT,size:1}]),B=i(t),N=new T(t,p,r,s,l,u,f,h,d,b,v,m,x,_,w,C,k,A,P,O,R,I,D,z,F,B,a(t,[{buffer:B,type:t.FLOAT,size:3}]));return N.update(e),N}},4554:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new o(t,n(e,[0,0,0,1,1,0,1,1]),i(e,a.boxVert,a.lineFrag))};var n=r(5827),i=r(5158),a=r(2709);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,u=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,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},3016:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new s(t,n(e),i(e,o.gridVert,o.gridFrag),i(e,o.tickVert,o.gridFrag))};var n=r(5827),i=r(5158),a=r(5070),o=r(2709);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 u,c,f,h,p,d=s.prototype;d.draw=(u=[0,0],c=[0,0],f=[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,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,v=0;v<2;++v){var g=a[v],y=a[v+2]-g,m=.5*(o[v+2]+o[v]),x=o[v+2]-o[v];c[v]=2*y/x,u[v]=2*(g-m)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=u,r.uniforms.dataScale=c;var b=0;for(v=0;v<2;++v){f[0]=f[1]=0,f[v]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[v]/(s[v+2]-s[v])*d,r.uniforms.color=h[v];var _=6*n[v].length;p[v]&&_&&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,u=this.vbo,c=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,v=s.viewBox,g=s.pixelRatio,y=s.screenBox,m=y[2]-y[0],x=y[3]-y[1],b=v[2]-v[0],_=v[3]-v[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M}e[0]*=b/m,t[0]*=b/m,e[1]*=_/x,t[1]*=_/x,c.bind(),u.bind(),c.attributes.dataCoord.pointer();var S=c.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*f[0].length,O=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),I=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),D=0+6*O,z=6*Math.max(0,I-O),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=P+6*R,N=6*Math.max(0,F-R);i[0]=2*(v[0]-E[1])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[1]*g/m,o[1]=L[1]*g/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[1]-E[0])/x-1,o[0]=L[0]*g/m,o[1]=E[0]*g/x,z&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z)),i[0]=2*(v[2]+E[3])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[3]*g/m,o[1]=L[3]*g/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[3]+E[2])/x-1,o[0]=L[2]*g/m,o[1]=E[2]*g/x,z&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z))}}(),d.update=(h=[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],u=r[o],c=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-u)/(c-u);s.push(d);for(var v=0;v<6;++v)n[i++]=d,n[i++]=h[v],n[i++]=p[v]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},1154:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new o(t,n(e,[-1,-1,-1,1,1,-1,1,1]),i(e,a.lineVert,a.lineFrag))};var n=r(5827),i=r(5158),a=r(2709);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,u=this.shader,c=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,u.uniforms.start=s,u.uniforms.end=l,u.uniforms.width=i*o.pixelRatio,u.uniforms.color=a,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},2709:function(t,e,r){\"use strict\";var n=r(6832),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\"]);t.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\"])}},5613:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new l(t,n(e),i(e,s.textVert,s.textFrag))};var n=r(5827),i=r(5158),a=r(6946),o=r(5070),s=r(2709);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 u,c,f,h,p,d,v=l.prototype;v.drawTicks=(u=[0,0],c=[0,0],f=[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,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,v=e.tickPad,g=e.tickColor,y=e.tickAngle,m=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),A=o.le(n,l[t+2]);u[0]=u[1]=0,u[t]=1,c[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];c[1^t]=M*s[1^t]-1,d[t]&&(c[1^t]-=M*p*v[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t],r.uniforms.angle=y[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t]&&T&&(c[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),c[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(c[1^t]+=M*p*v[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t+2],r.uniforms.angle=y[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t+2]&&T&&(c[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),v.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,u=r.pixelRatio;if(this.titleCount){for(var c=0;c<2;++c)e[c]=2*(o[c]*u-a[c])/(a[2+c]-a[c])-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)}}}(),v.bind=(h=[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,u=.5*(n[o+2]+n[o]),c=n[o+2]-n[o],f=a[o],v=a[o+2]-f,g=i[o],y=i[o+2]-g;p[o]=2*l/c*v/y,h[o]=2*(s-u)/c*v/y}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=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),v.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,u=t.bounds;for(o=0;o<2;++o){var c=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,v=p.text,g=p.font||\"sans-serif\";i=p.fontSize||12;for(var y=1/(u[o+2]-u[o]),m=u[o],x=v.split(\"\\n\"),b=0;b<x.length;b++)for(n=a(g,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-b*i*1.2,(d-m)*y);c.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=c,this.tickX[o]=f}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)},v.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},2117:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=new l(e,n(e,[e.drawingBufferWidth,e.drawingBufferHeight]));return r.grid=i(r),r.text=a(r),r.line=o(r),r.box=s(r),r.update(t),r};var n=r(2611),i=r(3016),a=r(5613),o=r(1154),s=r(4554);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 u=l.prototype;function c(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}u.setDirty=function(){this.dirty=this.pickDirty=!0},u.setOverlayDirty=function(){this.dirty=!0},u.nextDepthValue=function(){return this._depthCounter++/65536},u.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 u=this.borderColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var c=this.backgroundColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var v=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(v,e[1],v,e[3],p[d],h[d]):o.drawLine(e[0],v,e[2],v,p[d],h[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 g=this.borderLineEnable,y=this.borderLineWidth,m=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*y[1]*i,r[0],r[3]+.5*y[3]*i,y[1],m[1]),g[0]&&o.drawLine(r[0]-.5*y[0]*i,r[1],r[2]+.5*y[2]*i,r[1],y[0],m[0]),g[3]&&o.drawLine(r[2],r[1]-.5*y[1]*i,r[2],r[3]+.5*y[3]*i,y[3],m[3]),g[2]&&o.drawLine(r[0]-.5*y[0]*i,r[3],r[2]+.5*y[2]*i,r[3],y[2],m[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)}},u.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()}},u.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),u=this.objects,c=0;c<u.length;++c){var f=u[c].pick(a,o,l);if(f)return f}return null}},u.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()},u.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())},u.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()},u.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=c(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=c(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=c(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=c(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=c(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=c(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(f),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()},u.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();for(this.objects.length=0,t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},u.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},u.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}},u.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},u.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}}},4296:function(t,e,r){\"use strict\";t.exports=function(t,e){t=t||document.body;var r=[.01,1/0];\"distanceLimits\"in(e=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 u=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}),c=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:u,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:u.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;u.idle(e-r),u.recalcMatrix(i),u.flush(e-(100+2*r));for(var a=!0,o=u.computedMatrix,s=0;s<16;++s)a=a&&c[s]===o[s],c[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(u.computedRadius[0]),!0)},lookAt:function(t,e,r){u.lookAt(u.lastT(),t,e,r)},rotate:function(t,e,r){u.rotate(u.lastT(),t,e,r)},pan:function(t,e,r){u.pan(u.lastT(),t,e,r)},translate:function(t,e,r){u.translate(u.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return u.computedMatrix},set:function(t){return u.setMatrix(u.lastT(),t),u.computedMatrix},enumerable:!0},mode:{get:function(){return u.getMode()},set:function(t){var e=u.computedUp.slice(),r=u.computedEye.slice(),i=u.computedCenter.slice();if(u.setMode(t),\"turntable\"===t){var a=n();u._active.lookAt(a,r,i,e),u._active.lookAt(a+500,r,i,[0,0,1]),u._active.flush(a)}return u.getMode()},enumerable:!0},center:{get:function(){return u.computedCenter},set:function(t){return u.lookAt(u.lastT(),null,t),u.computedCenter},enumerable:!0},eye:{get:function(){return u.computedEye},set:function(t){return u.lookAt(u.lastT(),t),u.computedEye},enumerable:!0},up:{get:function(){return u.computedUp},set:function(t){return u.lookAt(u.lastT(),null,null,t),u.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return u.setDistance(u.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return u.getDistanceLimits(r)},set:function(t){return u.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,c=\"zoom\"===o,h=!!a.control,p=!!a.alt,v=!!a.shift,g=!!(1&e),y=!!(2&e),m=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&g&&!h&&!p&&!v||g&&!h&&!p&&v)&&u.rotate(A,w*k*b,-T*k*_,0),(l&&g&&!h&&!p&&!v||y||g&&h&&!p&&!v)&&u.pan(A,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),c&&g&&!h&&!p&&!v||m||g&&!h&&p&&!v)){var M=-d.zoomSpeed*_/window.innerHeight*(A-u.lastT())*100;u.pan(A,0,0,f*(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)}),!!l&&{passive:!0}),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)}),!!l&&{passive:!0}),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))u.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-u.lastT())/20;u.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=r(8161),i=r(1152),a=r(6145),o=r(6475),s=r(2565),l=r(5233)},8245:function(t,e,r){var n=r(6832),i=r(5158),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}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec2\"}])}},1059:function(t,e,r){\"use strict\";var n=r(4296),i=r(7453),a=r(2771),o=r(6496),s=r(2611),l=r(4234),u=r(8126),c=r(6145),f=r(1120),h=r(5268),p=r(8245),d=r(2321)({tablet:!0,featureDetect:!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 g(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}return e>0?(r=Math.round(Math.pow(10,e)),Math.ceil(t/r)*r):Math.ceil(t)}function y(t){return\"boolean\"!=typeof t||t}t.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;e||(e=document.createElement(\"canvas\"),t.container?t.container.appendChild(e):document.body.appendChild(e));var r=t.gl;if(r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=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:d})),!r)throw new Error(\"webgl not supported\");var m=t.bounds||[[-10,-10,-10],[10,10,10]],x=new v,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={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:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],O=!0,I=!0,D={view:null,projection:new Array(16),model:new Array(16),_ortho:!1},z=(I=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),R=t.cameraObject||n(e,T),F={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:R,axes:A,axesPixels:null,spikes:S,bounds:m,objects:E,shape:z,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:D,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,I=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},B=[r.drawingBufferWidth/F.pixelRatio|0,r.drawingBufferHeight/F.pixelRatio|0];function N(){if(!F._stopped&&F.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*F.pixelRatio),a=0|Math.ceil(n*F.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\",O=!0}}}function j(){for(var t=E.length,e=P.length,n=0;n<e;++n)C[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,z);L[n]=e,P.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),P.pop().dispose()}function U(){if(F.contextLost)return!0;r.isContextLost()&&(F.contextLost=!0,F.mouseListener.enabled=!1,F.selection.object=null,F.oncontextloss&&F.oncontextloss())}F.autoResize&&N(),window.addEventListener(\"resize\",N),F.update=function(t){F._stopped||(t=t||{},O=!0,I=!0)},F.add=function(t){F._stopped||(t.axes=A,E.push(t),L.push(-1),O=!0,I=!0,j())},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),O=!0,I=!0,j())}},F.dispose=function(){if(!F._stopped&&(F._stopped=!0,window.removeEventListener(\"resize\",N),e.removeEventListener(\"webglcontextlost\",U),F.mouseListener.enabled=!1,!F.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();for(b.dispose(),t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,A=null,S=null,E=[]}},F._mouseRotating=!1,F._prevButtons=0,F.enableMouseListeners=function(){F.mouseListener=c(e,(function(t,e,r){if(!F._stopped){var n=P.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&F._prevButtons)F._mouseRotating=!0;else{F._mouseRotating&&(I=!0),F._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,B[1]-r-1,F.pickRadius);if(l){if(l.distance>x.distance)continue;for(var u=0;u<i;++u){var c=E[u];if(L[u]===s){var f=c.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=c,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),O=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),O=!0),(o=o||x.object!==a)&&F.onselect&&F.onselect(x),1&t&&!(1&F._prevButtons)&&F.onclick&&F.onclick(x),F._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",U);var V=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],H=[V[0].slice(),V[1].slice()];function q(){if(!U()){N();var t=F.camera.tick();D.view=F.camera.matrix,O=O||t,I=I||t,A.pixelRatio=F.pixelRatio,S.pixelRatio=F.pixelRatio;var e=E.length,n=V[0],i=V[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=F.pixelRatio,C.axes=F.axes,O=O||!!C.dirty,I=I||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],c=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],c[p])}var d=F.bounds;if(F.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var v=.05*(i[p]-n[p]);n[p]=n[p]-v,i[p]=i[p]+v}d[0][p]=n[p],d[1][p]=i[p]}var y=!1;for(p=0;p<3;++p)y=y||H[0][p]!==d[0][p]||H[1][p]!==d[1][p],H[0][p]=d[0][p],H[1][p]=d[1][p];if(I=I||y,O=O||y){if(y){var m=[0,0,0];for(o=0;o<3;++o)m[o]=g((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:m}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;for(z[0]=T,z[1]=k,B[0]=0|Math.max(T/F.pixelRatio,1),B[1]=0|Math.max(k/F.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,u=t.zFar,c=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,u),n._ortho=!0):(f(i,c,p,l,u),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var v=0;for(d=0;d<3;++d)v=Math.max(v,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/v,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(F,w),o=0;o<e;++o)(C=E[o]).axesBounds=d,F.clipToBounds&&(C.clipBounds=d);x.object&&(F.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),I&&(I=!1,function(){if(!U()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var i=P[n];i.shape=B,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(D))}i.end()}}}()),F.axesPixels=a(F.axes,D,T,k),F.onrender&&F.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),F.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;for(A.enable&&(M=M||A.isTransparent(),A.draw(D)),S.axes=A,x.object&&S.draw(D),r.disable(r.CULL_FACE),o=0;o<e;++o)(C=E[o]).axes=A,C.pixelRatio=F.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(D),C.isTransparent&&C.isTransparent()&&(M=!0);if(M){for(b.shape=z,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(D),o=0;o<e;++o)(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(D);for(r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(D),o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(D)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,u(r),r.disable(r.BLEND)}for(O=!1,o=0;o<e;++o)E[o].dirty=!1}}}return F.enableMouseListeners(),function t(){F._stopped||F.contextLost||(q(),requestAnimationFrame(t))}(),F.redraw=function(){F._stopped||(O=!0,q())},F},createCamera:n}},8023:function(t,e,r){var n=r(6832);e.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}\"]),e.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\"]),e.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\"]),e.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\"])},8271:function(t,e,r){\"use strict\";var n=r(5158),i=r(5827),a=r(5306),o=r(8023);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}t.exports=function(t,e){var r=t.gl,a=new s(t,i(r),i(r),n(r,o.pointVertex,o.pointFragment),n(r,o.pickVertex,o.pickFragment));return a.update(e),t.addObject(a),a};var l,u,c=s.prototype;c.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},c.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),u=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)u[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(u),i||a.free(l),o||a.free(u),this.pointCount=n,this.pickOffset=0},c.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],u=[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),c=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=c<5,r.uniforms.pointSize=c,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(u[0]=255&t,u[1]=t>>8&255,u[2]=t>>16&255,u[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=u,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),c.draw=c.unifiedDraw,c.drawPick=c.unifiedDraw,c.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},6093:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],f=e[2],h=e[3],p=r[0],d=r[1],v=r[2],g=r[3];return(a=u*p+c*d+f*v+h*g)<0&&(a=-a,p=-p,d=-d,v=-v,g=-g),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*u+l*p,t[1]=s*c+l*d,t[2]=s*f+l*v,t[3]=s*h+l*g,t}},8240:function(t){\"use strict\";t.exports=function(t){return t||0===t?t.toString():\"\"}},4123:function(t,e,r){\"use strict\";var n=r(875);t.exports=function(t,e,r){var a=i[e];if(a||(a=i[e]={}),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,u,c=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(u=0;u<s.positions[l].length;++u)s.positions[l][u]/=r;for(l=0;l<c.positions.length;++l)for(u=0;u<c.positions[l].length;++u)c.positions[l][u]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=c.positions.length;for(l=0;l<h;++l){var p=c.positions[l];for(u=0;u<2;++u)f[0][u]=Math.min(f[0][u],p[u]),f[1][u]=Math.max(f[1][u],p[u])}return a[t]=[s,c,f]};var i={}},9282:function(t,e,r){var n=r(5158),i=r(6832),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\"]),u=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}\"]),c=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],f={vertex:a,fragment:l,attributes:c},h={vertex:o,fragment:l,attributes:c},p={vertex:s,fragment:l,attributes:c},d={vertex:a,fragment:u,attributes:c},v={vertex:o,fragment:u,attributes:c},g={vertex:s,fragment:u,attributes:c};function y(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}e.createPerspective=function(t){return y(t,f)},e.createOrtho=function(t){return y(t,h)},e.createProject=function(t){return y(t,p)},e.createPickPerspective=function(t){return y(t,d)},e.createPickOrtho=function(t){return y(t,v)},e.createPickProject=function(t){return y(t,g)}},2182:function(t,e,r){\"use strict\";var n=r(3596),i=r(5827),a=r(2944),o=r(5306),s=r(104),l=r(9282),u=r(4123),c=r(8240),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(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 h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function v(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,u,c,f){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=u,this.pickOrthoShader=c,this.pickProjectShader=f,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}t.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),u=l.createPickOrtho(e),c=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),v=new g(e,r,n,o,f,h,p,d,a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),s,u,c);return v.update(t),v};var y=g.prototype;y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},y.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 m=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[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}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function C(t,e,r,n,i,a,o){var l=r.gl;if((a===r.projectHasAlpha||o)&&function(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,u=r.model||f,c=r.view||f,h=r.projection||f,d=e.axesBounds,v=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],m[0]=2/o.drawingBufferWidth,m[1]=2/o.drawingBufferHeight,t.bind(),l.view=c,l.projection=h,l.screenSize=m,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=v,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var y=T,L=0;L<16;++L)y[L]=0;for(L=0;L<4;++L)y[5*L]=1;y[5*g]=0,i[g]<0?y[12+g]=d[0][g]:y[12+g]=d[1][g],s(y,u,y),l.model=y;var C=(g+1)%3,P=(g+2)%3,O=M(x),I=M(b);O[C]=1,I[P]=1;var D=p(0,0,0,S(_,O)),z=p(0,0,0,S(w,I));if(Math.abs(D[1])>Math.abs(z[1])){var R=D;D=z,z=R,R=O,O=I,I=R;var F=C;C=P,P=F}D[0]<0&&(O[C]=-1),z[1]>0&&(I[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(u[4*C+L],2),N+=Math.pow(u[4*P+L],2);O[C]/=Math.sqrt(B),I[P]/=Math.sqrt(N),l.axes[0]=O,l.axes[1]=I,l.fragClipBounds[0]=E(k,v[0],g,-1e8),l.fragClipBounds[1]=E(k,v[1],g,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()}}(e,r,n,i),a===r.hasAlpha||o){t.bind();var u=t.uniforms;u.model=n.model||f,u.view=n.view||f,u.projection=n.projection||f,m[0]=2/l.drawingBufferWidth,m[1]=2/l.drawingBufferHeight,u.screenSize=m,u.highlightId=r.highlightId,u.highlightScale=r.highlightScale,u.fragClipBounds=L,u.clipBounds=r.axes.bounds,u.opacity=r.opacity,u.pickGroup=r.pickId/255,u.pixelRatio=i,r.vao.bind(),r.vao.draw(l.TRIANGLES,r.vertexCount),r.lineWidth>0&&(l.lineWidth(r.lineWidth*i),r.vao.draw(l.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function P(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=c(a);var o=!0;n(a)&&(a=\"▼\",o=!1);var s=u(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}y.draw=function(t){C(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},y.drawTransparent=function(t){C(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},y.drawPick=function(t){C(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},y.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},y.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]},y.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){Array.isArray(t.projectOpacity)?this.projectOpacity=t.projectOpacity.slice():(r=+t.projectOpacity,this.projectOpacity=[r,r,r]);for(var n=0;n<3;++n)this.projectOpacity[n]=v(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=v(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||\"normal\",u=t.alignment||[0,0];if(2===u.length)i=u[0],a=u[1];else for(i=[],a=[],n=0;n<u.length;++n)i[n]=u[n][0],a[n]=u[n][1];var c=[1/0,1/0,1/0],f=[-1/0,-1/0,-1/0],h=t.glyph,p=t.color,d=t.size,g=t.angle,y=t.lineColor,m=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],T=0;T<3;++T)if(isNaN(w[T])||!isFinite(w[T]))continue t;var k=(N=P(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;x+=3*k.cells.length,b+=2*A.edges.length}}var S=x+b,E=o.mallocFloat(3*S),L=o.mallocFloat(4*S),C=o.mallocFloat(2*S),O=o.mallocUint32(S);if(S>0){var I=0,D=x,z=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(y)&&Array.isArray(y[0]);t:for(n=0;n<_;++n){for(m+=1,w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),c[T]=Math.min(c[T],w[T])}k=(N=P(h,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(T=0;T<3;++T)z[T]=U[T];z[3]=1}else if(4===U.length){for(T=0;T<4;++T)z[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else z[0]=z[1]=z[2]=0,z[3]=1;else z=[1,1,1,0];if(j)if(Array.isArray(y)){var U;if(3===(U=B?n<y.length?y[n]:[0,0,0,0]:y).length){for(T=0;T<3;++T)R[T]=U[T];R[T]=1}else if(4===U.length){for(T=0;T<4;++T)R[T]=U[T];!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 H=0;Array.isArray(g)?H=n<g.length?+g[n]:0:g&&(H=+g);var q=Math.cos(H),G=Math.sin(H);for(w=s[n],T=0;T<3;++T)f[T]=Math.max(f[T],w[T]),c[T]=Math.min(c[T],w[T]);var Z=i,Y=a;Z=0,Array.isArray(i)?Z=n<i.length?i[n]:0:i&&(Z=i),Y=0,Array.isArray(a)?Y=n<a.length?a[n]:0:a&&(Y=a);var W=[Z*=Z>0?1-M[0][0]:Z<0?1+M[1][0]:1,Y*=Y>0?1-M[0][1]:Y<0?1+M[1][1]:1],X=k.cells||[],J=k.positions||[];for(T=0;T<X.length;++T)for(var K=X[T],$=0;$<3;++$){for(var Q=0;Q<3;++Q)E[3*I+Q]=w[Q];for(Q=0;Q<4;++Q)L[4*I+Q]=z[Q];O[I]=m;var tt=J[K[$]];C[2*I]=V*(q*tt[0]-G*tt[1]+W[0]),C[2*I+1]=V*(G*tt[0]+q*tt[1]+W[1]),I+=1}for(X=A.edges,J=A.positions,T=0;T<X.length;++T)for(K=X[T],$=0;$<2;++$){for(Q=0;Q<3;++Q)E[3*D+Q]=w[Q];for(Q=0;Q<4;++Q)L[4*D+Q]=R[Q];O[D]=m,tt=J[K[$]],C[2*D]=V*(q*tt[0]-G*tt[1]+W[0]),C[2*D+1]=V*(G*tt[0]+q*tt[1]+W[1]),D+=1}}}this.bounds=[c,f],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(C),this.idBuffer.update(O),o.free(E),o.free(L),o.free(C),o.free(O)},y.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()}},1884:function(t,e,r){\"use strict\";var n=r(6832);e.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\"]),e.boxFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = color;\\n}\\n\"])},6623:function(t,e,r){\"use strict\";var n=r(5158),i=r(5827),a=r(1884);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}t.exports=function(t,e){var r=t.gl,s=new o(t,i(r,[0,0,0,1,1,0,1,1]),n(r,a.boxVertex,a.boxFragment));return s.update(e),t.addOverlay(s),s};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,u=t.viewBox,c=t.pixelRatio,f=(e[0]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],h=(e[1]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1],p=(e[2]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],d=(e[3]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1];if(f=Math.max(f,u[0]),h=Math.max(h,u[1]),p=Math.min(p,u[2]),d=Math.min(d,u[3]),!(p<f||d<h)){o.bind();var v=s[2]-s[0],g=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,v,h,i),o.drawBox(0,h,f,d,i),o.drawBox(0,d,v,g,i),o.drawBox(p,h,v,d,i)),this.innerFill&&o.drawBox(f,h,p,d,n),r>0){var y=r*c;o.drawBox(f-y,h-y,p+y,h+y,a),o.drawBox(f-y,d-y,p+y,d+y,a),o.drawBox(f-y,h-y,f+y,d+y,a),o.drawBox(p-y,h-y,p+y,d+y,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)}},2611:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=e[0],a=e[1];return new l(t,n(t,r,a,{}),i.mallocUint8(r*a*4))};var n=r(4234),i=r(5306),a=r(5050),o=r(2288).nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var 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h=u,p=c,d=0;d<3;++d)i&&i[d]<0?(h[d]=this.bounds[0][d],p[d]=this.bounds[1][d]):(h[d]=this.bounds[1][d],p[d]=this.bounds[0][d]);for(f[0]=e.drawingBufferWidth,f[1]=e.drawingBufferHeight,n.uniforms.model=a,n.uniforms.view=s,n.uniforms.projection=l,n.uniforms.coordinates=[this.position,h,p],n.uniforms.colors=this.colors,n.uniforms.screenShape=f,d=0;d<3;++d)n.uniforms.lineWidth=this.lineWidth[d]*this.pixelRatio,this.enabled[d]&&(r.draw(e.TRIANGLES,6,6*d),this.drawSides[d]&&r.draw(e.TRIANGLES,12,18+12*d));r.unbind()},l.update=function(t){t&&(\"bounds\"in t&&(this.bounds=t.bounds),\"position\"in t&&(this.position=t.position),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"colors\"in t&&(this.colors=t.colors),\"enabled\"in t&&(this.enabled=t.enabled),\"drawSides\"in t&&(this.drawSides=t.drawSides))},l.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},9578:function(t,e,r){var n=r(6832),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;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, 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, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, 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}\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},7307:function(t,e,r){\"use strict\";var n=r(2858),i=r(4020),a=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},s=function(t,e,r){return t<e?e:t>r?r:t},l=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};t.exports=function(t,e){var r=t.startingPositions,u=t.maxLength||1e3,c=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||\"+x+y+z\",p={};-1!==h.indexOf(\"-x\")&&(p.reversedX=!0),-1!==h.indexOf(\"-y\")&&(p.reversedY=!0),-1!==h.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,l=t[0],u=t[1],c=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=o(a[0],l),v=o(a[1],u),g=o(a[2],c),y=d+1,m=v+1,x=g+1;if(d=s(d,0,f-1),y=s(y,0,f-1),v=s(v,0,h-1),m=s(m,0,h-1),g=s(g,0,p-1),x=s(x,0,p-1),d<0||v<0||g<0||y>f-1||m>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][y],E=a[1][v],L=a[1][m],C=a[2][g],P=(l-M)/(S-M),O=(u-E)/(L-E),I=(c-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(O)||(O=.5),isFinite(I)||(I=.5),r.reversedX&&(d=f-1-d,y=f-1-y),r.reversedY&&(v=h-1-v,m=h-1-m),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=v*p,T=m*p,b=d*p*h,_=y*p*h;break;case 4:k=g,A=x,b=d*p,_=y*p,w=v*p*f,T=m*p*f;break;case 3:w=v,T=m,k=g*h,A=x*h,b=d*h*p,_=y*h*p;break;case 2:w=v,T=m,b=d*h,_=y*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=y,k=g*f,A=x*f,w=v*f*p,T=m*f*p;break;default:b=d,_=y,w=v*f,T=m*f,k=g*f*h,A=x*f*h}var D=i[b+w+k],z=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),H=n.create(),q=n.create(),G=n.create();n.lerp(V,D,B,P),n.lerp(H,z,N,P),n.lerp(q,R,j,P),n.lerp(G,F,U,P);var Z=n.create(),Y=n.create();n.lerp(Z,V,q,O),n.lerp(Y,H,G,O);var W=n.create();return n.lerp(W,Z,Y,I),W}(e,t,p)},v=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],y=e[0][0],m=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<y||e>b||r<m||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/u,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,u=0;u<s;u++){var c=t[u],f=c[0],h=c[1],p=c[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=l(e),v=l(r),g=l(n),y=Math.min(d,v,g);return isFinite(y)?y:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],O=[],I=d(C),D=C;O.push(I);var z=[],R=v(C,I),F=n.length(R);isFinite(F)&&F>S&&(S=F),z.push(F),g.push({points:P,velocities:O,divergences:z});for(var B=0;B<100*u&&P.length<u&&T(C);){B++;var N=n.clone(I),j=n.squaredLength(N);if(0===j)break;j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),I=d(N),n.squaredDistance(D,N)-A>-1e-4*A&&(P.push(N),D=N,O.push(I),R=v(N,I),F=n.length(R),isFinite(F)&&F>S&&(S=F),z.push(F)),C=N}}var U=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,u=0;u<l.length;u++)o=Math.max(o,n.length(l[u]));var c=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,u=[],c=[],f=[],h=[],p=[],d=[],v=0,g=0,y=i.create(),m=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),g=n.length(_)/a,y=i.create(),n.copy(y,_),y[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var k=(T+1)%8;u.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(m,y,y,y,m,m),d.push(v,g,g,g,v,v);var A=u.length;c.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=m;m=y,y=S;var E=v;v=g,g=E}return{positions:u,cells:c,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<c.length;s++){var v=c[s],g=f.length;for(f=f.concat(v.positions),p=p.concat(v.vectors),d=d.concat(v.vertexIntensity),u=0;u<v.cells.length;u++){var y=v.cells[u],m=[];h.push(m);for(var x=0;x<y.length;x++)m.push(y[x]+g)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}}(g,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*c*M/S),U};var u=r(9578),c=r(1140).createMesh;t.exports.createTubeMesh=function(t,e){return c(t,e,{shaders:u,traceType:\"streamtube\"})}},9054:function(t,e,r){var n=r(5158),i=r(6832),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 (\\n    kill > 0.0 ||\\n    vColor.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n  ) 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 — 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\"]);e.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},e.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},e.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},e.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}},3754:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=m(e),n=b(e),s=x(e),l=_(e),u=i(e),c=a(e,[{buffer:u,size:4,stride:w,offset:0},{buffer:u,size:3,stride:w,offset:16},{buffer:u,size:3,stride:w,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),v=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);v.minFilter=e.LINEAR,v.magFilter=e.LINEAR;var g=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,u,c,v,s,l,f,h,p,d,[0,0,0]),y={levels:[[],[],[]]};for(var T in t)y[T]=t[T];return y.colormap=y.colormap||\"jet\",g.update(y),g};var n=r(2288),i=r(5827),a=r(2944),o=r(8931),s=r(5306),l=r(9156),u=r(7498),c=r(7382),f=r(5050),h=r(4162),p=r(104),d=r(7437),v=r(5070),g=r(9144),y=r(9054),m=y.createShader,x=y.createContourShader,b=y.createPickShader,_=y.createPickContourShader,w=40,T=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],k=[[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,u,c,h,p,d,v,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,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=v,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=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(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 L=E.prototype;L.genColormap=function(t,e){var r=!1,n=c([l({colormap:t,nshades:S,format:\"rgba\"}).map((function(t,n){var i=e?function(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}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return u.divseq(n,255),this.hasAlphaScale=r,n},L.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},L.isOpaque=function(){return!this.isTransparent()},L.pickSlots=1,L.setPickBase=function(t){this.pickId=t};var C=[0,0,0],P={showSurface:!1,showContour:!1,projections:[T.slice(),T.slice(),T.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||C,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 u=P.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return P.showSurface=o,P.showContour=s,P}var I={model:T,view:T,projection:T,inverseModel:T.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},D=T.slice(),z=[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=I;n.model=t.model||T,n.view=t.view||T,n.projection=t.projection||T,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=z,n.vertexColor=this.vertexColor;var s=D;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 u=s[12+i];for(o=0;o<3;++o)u+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=u/l}var c=O(n,this);if(c.showSurface){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=c.projections[i],this._shader.uniforms.clipBounds=c.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(c.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=A[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=c.projections[i],f.uniforms.clipBounds=c.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=A[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var v=0;v<this.contourLevels[o].length;++v)v===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==v&&v-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][v]&&(f.uniforms.height=this.contourLevels[o][v],h.draw(r.LINES,this._contourCounts[o][v],this._contourOffsets[o][v]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=A[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=c.projections[o],f.uniforms.clipBounds=c.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}L.draw=function(t){return R.call(this,t,!1)},L.drawTransparent=function(t){return R.call(this,t,!0)};var F={model:T,view:T,projection:T,inverseModel:T,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()]}}L.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=F;r.model=t.model||T,r.view=t.view||T,r.projection=t.projection||T,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=z;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 u=0;u<this.contourLevels[a].length;++u)this._contourCounts[a][u]&&(s.uniforms.height=this.contourLevels[a][u],l.draw(e.LINES,this._contourCounts[a][u],this._contourOffsets[a][u]))}l.unbind()}},L.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var u=r.position;u[0]=u[1]=u[2]=0;for(var c=0;c<2;++c)for(var f=c?a:1-a,h=0;h<2;++h)for(var p=i+c,d=s+h,g=f*(h?l:1-l),y=0;y<3;++y)u[y]+=this._field[y].get(p,d)*g;for(var m=this._pickResult.level,x=0;x<3;++x)if(m[x]=v.le(this.contourLevels[x],u[x]),m[x]<0)this.contourLevels[x].length>0&&(m[x]=0);else if(m[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][m[x]],_=this.contourLevels[x][m[x]+1];Math.abs(b-u[x])>Math.abs(_-u[x])&&(m[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],y=0;y<3;++y)r.dataCoordinate[y]=this._field[y].get(r.index[0],r.index[1]);return r},L.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();u.assign(t.lo(1,1).hi(r[0],r[1]),e),u.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),u.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),u.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),u.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))},L.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),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0),\"colormap\"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));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]=f(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]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var u=l[o];for(y=0;y<2;++y)if(u.shape[y]!==a[y])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],u)}}else if(t.ticks){var c=t.ticks;if(!Array.isArray(c)||2!==c.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=c[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var v=[0,0];v[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],v,0)}this._field[0].set(0,0,0);for(var y=0;y<a[0];++y)this._field[0].set(y+1,0,y);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),y=0;y<a[1];++y)this._field[1].set(0,y+1,y);this._field[1].set(0,a[1]+1,a[1]-1)}var m=this._field,x=f(s.mallocFloat(3*m[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),m[o],\"mirror\");var b=f(s.mallocFloat(3*m[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(y=0;y<a[1]+2;++y){var _=x.get(0,o,y,0),w=x.get(0,o,y,1),T=x.get(1,o,y,0),A=x.get(1,o,y,1),M=x.get(2,o,y,0),S=x.get(2,o,y,1),E=T*S-A*M,L=M*w-S*_,C=_*A-w*T,P=Math.sqrt(E*E+L*L+C*C);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,y,0,E*P),b.set(o,y,1,L*P),b.set(o,y,2,C*P)}s.free(x.data);var O=[1/0,1/0,1/0],I=[-1/0,-1/0,-1/0],D=1/0,z=-1/0,R=(a[0]-1)*(a[1]-1)*6,F=s.mallocFloat(n.nextPow2(10*R)),N=0,U=0;for(o=0;o<a[0]-1;++o)t:for(y=0;y<a[1]-1;++y){for(var V=0;V<2;++V)for(var H=0;H<2;++H)for(var q=0;q<3;++q){var G=this._field[q].get(1+o+V,1+y+H);if(isNaN(G)||!isFinite(G))continue t}for(q=0;q<6;++q){var Z=o+k[q][0],Y=y+k[q][1],W=this._field[0].get(Z+1,Y+1),X=this._field[1].get(Z+1,Y+1);G=this._field[2].get(Z+1,Y+1),E=b.get(Z+1,Y+1,0),L=b.get(Z+1,Y+1,1),C=b.get(Z+1,Y+1,2),t.intensity&&(J=t.intensity.get(Z,Y));var J=t.intensity?t.intensity.get(Z,Y):G+this.objectOffset[2];F[N++]=Z,F[N++]=Y,F[N++]=W,F[N++]=X,F[N++]=G,F[N++]=0,F[N++]=J,F[N++]=E,F[N++]=L,F[N++]=C,O[0]=Math.min(O[0],W+this.objectOffset[0]),O[1]=Math.min(O[1],X+this.objectOffset[1]),O[2]=Math.min(O[2],G+this.objectOffset[2]),D=Math.min(D,J),I[0]=Math.max(I[0],W+this.objectOffset[0]),I[1]=Math.max(I[1],X+this.objectOffset[1]),I[2]=Math.max(I[2],G+this.objectOffset[2]),z=Math.max(z,J),U+=1}}for(t.intensityBounds&&(D=+t.intensityBounds[0],z=+t.intensityBounds[1]),o=6;o<N;o+=10)F[o]=(F[o]-D)/(z-D);this._vertexCount=U,this._coordinateBuffer.update(F.subarray(0,N)),s.freeFloat(F),s.free(b.data),this.bounds=[O,I],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===D&&this.intensityBounds[1]===z||(r=!0),this.intensityBounds=[D,z]}if(\"levels\"in t){var K=t.levels;for(K=Array.isArray(K[0])?K.slice():[[],[],K],o=0;o<3;++o)K[o]=K[o].slice(),K[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(y=0;y<K[o].length;++y)K[o][y]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(K[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;y<K[o].length;++y)if(K[o][y]!==this.contourLevels[o][y]){r=!0;break t}}this.contourLevels=K}if(r){m=this._field,a=this.shape;for(var $=[],Q=0;Q<3;++Q){var tt=this.contourLevels[Q],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[Q],tt[o]);et.push($.length/5|0),U=0;t:for(y=0;y<it.cells.length;++y){var at=it.cells[y];for(q=0;q<2;++q){var ot=it.positions[at[q]],st=ot[0],lt=0|Math.floor(st),ut=st-lt,ct=ot[1],ft=0|Math.floor(ct),ht=ct-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var vt=(Q+dt+1)%3;for(V=0;V<2;++V){var gt=V?ut:1-ut;for(Z=0|Math.min(Math.max(lt+V,0),a[0]),H=0;H<2;++H){var yt=H?ht:1-ht;if(Y=0|Math.min(Math.max(ft+H,0),a[1]),G=dt<2?this._field[vt].get(Z,Y):(this.intensity.get(Z,Y)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var mt=gt*yt;nt[dt]+=mt*G}}}if(pt){if(q>0){for(var xt=0;xt<5;++xt)$.pop();U-=1}continue t}$.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[Q]=et,this._contourCounts[Q]=rt}var bt=s.mallocFloat($.length);for(o=0;o<$.length;++o)bt[o]=$[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},L.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)},L.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,u=(o+2)%3,c=this._field[o],f=this._field[l],p=this._field[u],d=h(c,r[o]),v=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<v.length;++e)for(var y=v[e],m=0;m<2;++m){var x=g[y[m]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),T=b-_,k=1-T,A=+x[1],M=0|A,S=0|Math.min(M+1,i[1]),E=A-M,L=1-E,C=k*L,P=k*E,O=T*L,I=T*E,D=C*f.get(_,M)+P*f.get(_,S)+O*f.get(w,M)+I*f.get(w,S),z=C*p.get(_,M)+P*p.get(_,S)+O*p.get(w,M)+I*p.get(w,S);if(isNaN(D)||isNaN(z)){m&&(n-=1);break}a[2*n+0]=D,a[2*n+1]=z,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)}}},8931:function(t,e,r){\"use strict\";var n=r(5050),i=r(7498),a=r(5306);t.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");if(o||function(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}(t),\"number\"==typeof arguments[1])return g(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return g(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return function(t,e,r,n,i,a){var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new h(t,o,r,n,i,a)}(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return function(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=d(o,e.stride.slice()),u=0;\"float32\"===r?u=t.FLOAT:\"float64\"===r?(u=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?u=t.UNSIGNED_BYTE:(u=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var f,p,g=0;if(2===o.length)g=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])g=t.ALPHA;else if(2===o[2])g=t.LUMINANCE_ALPHA;else if(3===o[2])g=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");g=t.RGBA}}u!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(u=t.UNSIGNED_BYTE,l=!1);var y=e.size;if(l)f=0===e.offset&&e.data.length===y?e.data:e.data.subarray(e.offset,e.offset+y);else{var m=[o[2],o[2]*o[0],1];p=a.malloc(y,r);var x=n(p,o,m,0);\"float32\"!==r&&\"float64\"!==r||u!==t.UNSIGNED_BYTE?i.assign(x,e):c(x,e),f=p.subarray(0,y)}var b=v(t);return t.texImage2D(t.TEXTURE_2D,0,g,o[0],o[1],0,g,u,f),l||a.free(p),new h(t,b,o[0],o[1],g,u)}(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function u(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var c=function(t,e){i.muls(t,e,255)};function f(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function h(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var p=h.prototype;function d(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function v(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function g(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture shape\");if(i===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new h(t,o,e,r,n,i)}Object.defineProperties(p,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var 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n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[8],c=e[9],f=e[10],h=e[11];return e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i-u*n,t[1]=o*i-c*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+u*i,t[9]=o*n+c*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},15692:function(t){t.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],u=e[4],c=e[5],f=e[6],h=e[7];return e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i+u*n,t[1]=o*i+c*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=u*i-a*n,t[5]=c*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},10789:function(t){t.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}},6726:function(t){t.exports=function(t){return\"mat4(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\", \"+t[9]+\", \"+t[10]+\", \"+t[11]+\", \"+t[12]+\", \"+t[13]+\", \"+t[14]+\", \"+t[15]+\")\"}},31283:function(t){t.exports=function(t,e,r){var n,i,a,o,s,l,u,c,f,h,p,d,v=r[0],g=r[1],y=r[2];return e===t?(t[12]=e[0]*v+e[4]*g+e[8]*y+e[12],t[13]=e[1]*v+e[5]*g+e[9]*y+e[13],t[14]=e[2]*v+e[6]*g+e[10]*y+e[14],t[15]=e[3]*v+e[7]*g+e[11]*y+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],f=e[8],h=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]=u,t[7]=c,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*v+s*g+f*y+e[12],t[13]=i*v+l*g+h*y+e[13],t[14]=a*v+u*g+p*y+e[14],t[15]=o*v+c*g+d*y+e[15]),t}},88654:function(t){t.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}},42505:function(t,e,r){\"use strict\";var n=r(72791),i=r(71299),a=r(98580),o=r(12018),s=r(83522),l=r(25075),u=r(68016),c=r(58404),f=r(18863),h=r(10973),p=r(25677),d=r(75686),v=r(53545),g=r(56131),y=r(32879),m=r(30120),x=r(13547).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 T=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(h(t)?t:{})};T.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 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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\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ vec2(positionOffset.x, -positionOffset.y)))\\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\\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 float fontSize, charStep, opacity;\\n\\t\\t\\tuniform vec2 atlasSize;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform sampler2D atlas;\\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:{}}},T.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=f(t.viewport),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=m(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=T.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(T.baseFontSize+\"px \"+t)}else t=n.parse(n.stringify(t));var i=n.stringify({size:T.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]=T.fonts[i],e.font[r]))){var u=t.family.join(\", \"),c=[t.style];t.style!=t.variant&&c.push(t.variant),t.variant!=t.weight&&c.push(t.weight),_&&t.weight!=t.stretch&&c.push(t.stretch),e.font[r]={baseString:i,family:u,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:y(u,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:c.join(\" \")})},T.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 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Math.atan2(this.y-t.y,this.x-t.x)},angleWith:function(t){return this.angleWithSep(t.x,t.y)},angleWithSep:function(t,e){return Math.atan2(this.x*e-this.y*t,this.x*t+this.y*e)},_matMult:function(t){var e=t[0]*this.x+t[1]*this.y,r=t[2]*this.x+t[3]*this.y;return this.x=e,this.y=r,this},_add:function(t){return this.x+=t.x,this.y+=t.y,this},_sub:function(t){return this.x-=t.x,this.y-=t.y,this},_mult:function(t){return this.x*=t,this.y*=t,this},_div:function(t){return this.x/=t,this.y/=t,this},_multByPoint:function(t){return this.x*=t.x,this.y*=t.y,this},_divByPoint:function(t){return this.x/=t.x,this.y/=t.y,this},_unit:function(){return this._div(this.mag()),this},_perp:function(){var t=this.y;return this.y=this.x,this.x=-t,this},_rotate:function(t){var e=Math.cos(t),r=Math.sin(t),n=e*this.x-r*this.y,i=r*this.x+e*this.y;return this.x=n,this.y=i,this},_rotateAround:function(t,e){var r=Math.cos(t),n=Math.sin(t),i=e.x+r*(this.x-e.x)-n*(this.y-e.y),a=e.y+n*(this.x-e.x)+r*(this.y-e.y);return 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r.width=t.width,r.height=t.height,n.drawImage(t,0,0,t.width,t.height),n.getImageData(-e,-e,t.width+2*e,t.height+2*e)},resolveURL:function(t){return C||(C=self.document.createElement(\"a\")),C.href=t,C.href},hardwareConcurrency:self.navigator.hardwareConcurrency||4,get devicePixelRatio(){return self.devicePixelRatio},get prefersReducedMotion(){return!!self.matchMedia&&(null==P&&(P=self.matchMedia(\"(prefers-reduced-motion: reduce)\")),P.matches)}},B={API_URL:\"https://api.mapbox.com\",get EVENTS_URL(){return this.API_URL?0===this.API_URL.indexOf(\"https://api.mapbox.cn\")?\"https://events.mapbox.cn/events/v2\":0===this.API_URL.indexOf(\"https://api.mapbox.com\")?\"https://events.mapbox.com/events/v2\":null:null},FEEDBACK_URL:\"https://apps.mapbox.com/feedback\",REQUIRE_ACCESS_TOKEN:!0,ACCESS_TOKEN:null,MAX_PARALLEL_IMAGE_REQUESTS:16},N={supported:!1,testSupport:function(t){!j&&I&&(U?V(t):O=t)}},j=!1,U=!1;function V(t){var 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Date.now()>this._skuTokenExpiresAt},q.prototype.transformRequest=function(t,e){return this._transformRequestFn&&this._transformRequestFn(t,e)||{url:t}},q.prototype.normalizeStyleURL=function(t,e){if(!G(t))return t;var r=X(t);return r.path=\"/styles/v1\"+r.path,this._makeAPIURL(r,this._customAccessToken||e)},q.prototype.normalizeGlyphsURL=function(t,e){if(!G(t))return t;var r=X(t);return r.path=\"/fonts/v1\"+r.path,this._makeAPIURL(r,this._customAccessToken||e)},q.prototype.normalizeSourceURL=function(t,e){if(!G(t))return t;var r=X(t);return r.path=\"/v4/\"+r.authority+\".json\",r.params.push(\"secure\"),this._makeAPIURL(r,this._customAccessToken||e)},q.prototype.normalizeSpriteURL=function(t,e,r,n){var i=X(t);return G(t)?(i.path=\"/styles/v1\"+i.path+\"/sprite\"+e+r,this._makeAPIURL(i,this._customAccessToken||n)):(i.path+=\"\"+e+r,J(i))},q.prototype.normalizeTileURL=function(t,e){if(this._isSkuTokenExpired()&&this._createSkuToken(),t&&!G(t))return t;var r=X(t),n=F.devicePixelRatio>=2||512===e?\"@2x\":\"\",i=N.supported?\".webp\":\"$1\";r.path=r.path.replace(/(\\.(png|jpg)\\d*)(?=$)/,\"\"+n+i),r.path=r.path.replace(/^.+\\/v4\\//,\"/\"),r.path=\"/v4\"+r.path;var a=this._customAccessToken||function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e].match(/^access_token=(.*)$/);if(n)return n[1]}return null}(r.params)||B.ACCESS_TOKEN;return B.REQUIRE_ACCESS_TOKEN&&a&&this._skuToken&&r.params.push(\"sku=\"+this._skuToken),this._makeAPIURL(r,a)},q.prototype.canonicalizeTileURL=function(t,e){var r=X(t);if(!r.path.match(/(^\\/v4\\/)/)||!r.path.match(/\\.[\\w]+$/))return t;var n=\"mapbox://tiles/\";n+=r.path.replace(\"/v4/\",\"\");var i=r.params;return e&&(i=i.filter((function(t){return!t.match(/^access_token=/)}))),i.length&&(n+=\"?\"+i.join(\"&\")),n},q.prototype.canonicalizeTileset=function(t,e){for(var r=!!e&&G(e),n=[],i=0,a=t.tiles||[];i<a.length;i+=1){var o=a[i];Y(o)?n.push(this.canonicalizeTileURL(o,r)):n.push(o)}return n},q.prototype._makeAPIURL=function(t,e){var r=\"See https://www.mapbox.com/api-documentation/#access-tokens-and-token-scopes\",n=X(B.API_URL);if(t.protocol=n.protocol,t.authority=n.authority,\"/\"!==n.path&&(t.path=\"\"+n.path+t.path),!B.REQUIRE_ACCESS_TOKEN)return J(t);if(!(e=e||B.ACCESS_TOKEN))throw new Error(\"An API access token is required to use Mapbox GL. \"+r);if(\"s\"===e[0])throw new Error(\"Use a public access token (pk.*) with Mapbox GL, not a secret access token (sk.*). \"+r);return t.params=t.params.filter((function(t){return-1===t.indexOf(\"access_token\")})),t.params.push(\"access_token=\"+e),J(t)};var Z=/^((https?:)?\\/\\/)?([^\\/]+\\.)?mapbox\\.c(n|om)(\\/|\\?|$)/i;function Y(t){return Z.test(t)}var W=/^(\\w+):\\/\\/([^/?]*)(\\/[^?]+)?\\??(.+)?/;function X(t){var e=t.match(W);if(!e)throw new Error(\"Unable to parse URL object\");return{protocol:e[1],authority:e[2],path:e[3]||\"/\",params:e[4]?e[4].split(\"&\"):[]}}function J(t){var e=t.params.length?\"?\"+t.params.join(\"&\"):\"\";return t.protocol+\"://\"+t.authority+t.path+e}var K=\"mapbox.eventData\";function $(t){if(!t)return null;var e,r=t.split(\".\");if(!r||3!==r.length)return null;try{return JSON.parse((e=r[1],decodeURIComponent(self.atob(e).split(\"\").map((function(t){return\"%\"+(\"00\"+t.charCodeAt(0).toString(16)).slice(-2)})).join(\"\"))))}catch(t){return null}}var Q=function(t){this.type=t,this.anonId=null,this.eventData={},this.queue=[],this.pendingRequest=null};Q.prototype.getStorageKey=function(t){var e,r,n=$(B.ACCESS_TOKEN);return e=n&&n.u?(r=n.u,self.btoa(encodeURIComponent(r).replace(/%([0-9A-F]{2})/g,(function(t,e){return String.fromCharCode(Number(\"0x\"+e))})))):B.ACCESS_TOKEN||\"\",t?K+\".\"+t+\":\"+e:K+\":\"+e},Q.prototype.fetchEventData=function(){var t=L(\"localStorage\"),e=this.getStorageKey(),r=this.getStorageKey(\"uuid\");if(t)try{var n=self.localStorage.getItem(e);n&&(this.eventData=JSON.parse(n));var 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r=this.queue.shift(),n=r.id,i=r.timestamp;n&&this.success[n]||(this.anonId||this.fetchEventData(),v(this.anonId)||(this.anonId=d()),this.postEvent(i,{skuToken:this.skuToken},(function(t){t||n&&(e.success[n]=!0)}),t))}},e}(Q),nt=function(t){function e(e){t.call(this,\"appUserTurnstile\"),this._customAccessToken=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.postTurnstileEvent=function(t,e){B.EVENTS_URL&&B.ACCESS_TOKEN&&Array.isArray(t)&&t.some((function(t){return G(t)||Y(t)}))&&this.queueRequest(Date.now(),e)},e.prototype.processRequests=function(t){var e=this;if(!this.pendingRequest&&0!==this.queue.length){this.anonId&&this.eventData.lastSuccess&&this.eventData.tokenU||this.fetchEventData();var r=$(B.ACCESS_TOKEN),n=r?r.u:B.ACCESS_TOKEN,i=n!==this.eventData.tokenU;v(this.anonId)||(this.anonId=d(),i=!0);var a=this.queue.shift();if(this.eventData.lastSuccess){var o=new Date(this.eventData.lastSuccess),s=new 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n(t){return(t=Math.round(t))<0?0:t>255?255:t}function i(t){return t<0?0:t>1?1:t}function a(t){return\"%\"===t[t.length-1]?n(parseFloat(t)/100*255):n(parseInt(t))}function o(t){return\"%\"===t[t.length-1]?i(parseFloat(t)/100):i(parseFloat(t))}function s(t,e,r){return r<0?r+=1:r>1&&(r-=1),6*r<1?t+(e-t)*r*6:2*r<1?e:3*r<2?t+(e-t)*(2/3-r)*6:t}try{e.parseCSSColor=function(t){var e,i=t.replace(/ /g,\"\").toLowerCase();if(i in r)return r[i].slice();if(\"#\"===i[0])return 4===i.length?(e=parseInt(i.substr(1),16))>=0&&e<=4095?[(3840&e)>>4|(3840&e)>>8,240&e|(240&e)>>4,15&e|(15&e)<<4,1]:null:7===i.length&&(e=parseInt(i.substr(1),16))>=0&&e<=16777215?[(16711680&e)>>16,(65280&e)>>8,255&e,1]:null;var l=i.indexOf(\"(\"),u=i.indexOf(\")\");if(-1!==l&&u+1===i.length){var c=i.substr(0,l),f=i.substr(l+1,u-(l+1)).split(\",\"),h=1;switch(c){case\"rgba\":if(4!==f.length)return null;h=o(f.pop());case\"rgb\":return 3!==f.length?null:[a(f[0]),a(f[1]),a(f[2]),h];case\"hsla\":if(4!==f.length)return 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se=function(t,e,r){this.sensitivity=t?e?\"variant\":\"case\":e?\"accent\":\"base\",this.locale=r,this.collator=new Intl.Collator(this.locale?this.locale:[],{sensitivity:this.sensitivity,usage:\"search\"})};se.prototype.compare=function(t,e){return this.collator.compare(t,e)},se.prototype.resolvedLocale=function(){return new Intl.Collator(this.locale?this.locale:[]).resolvedOptions().locale};var le=function(t,e,r,n,i){this.text=t,this.image=e,this.scale=r,this.fontStack=n,this.textColor=i},ue=function(t){this.sections=t};ue.fromString=function(t){return new ue([new le(t,null,null,null,null)])},ue.prototype.isEmpty=function(){return 0===this.sections.length||!this.sections.some((function(t){return 0!==t.text.length||t.image&&0!==t.image.name.length}))},ue.factory=function(t){return t instanceof ue?t:ue.fromString(t)},ue.prototype.toString=function(){return 0===this.sections.length?\"\":this.sections.map((function(t){return t.text})).join(\"\")},ue.prototype.serialize=function(){for(var t=[\"format\"],e=0,r=this.sections;e<r.length;e+=1){var n=r[e];if(n.image)t.push([\"image\",n.image.name]);else{t.push(n.text);var i={};n.fontStack&&(i[\"text-font\"]=[\"literal\",n.fontStack.split(\",\")]),n.scale&&(i[\"font-scale\"]=n.scale),n.textColor&&(i[\"text-color\"]=[\"rgba\"].concat(n.textColor.toArray())),t.push(i)}}return t};var ce=function(t){this.name=t.name,this.available=t.available};function fe(t,e,r,n){return\"number\"==typeof t&&t>=0&&t<=255&&\"number\"==typeof e&&e>=0&&e<=255&&\"number\"==typeof r&&r>=0&&r<=255?void 0===n||\"number\"==typeof n&&n>=0&&n<=1?null:\"Invalid rgba value [\"+[t,e,r,n].join(\", \")+\"]: 'a' must be between 0 and 1.\":\"Invalid rgba value [\"+(\"number\"==typeof n?[t,e,r,n]:[t,e,r]).join(\", \")+\"]: 'r', 'g', and 'b' must be between 0 and 255.\"}function he(t){if(null===t)return!0;if(\"string\"==typeof t)return!0;if(\"boolean\"==typeof t)return!0;if(\"number\"==typeof t)return!0;if(t instanceof oe)return!0;if(t instanceof se)return!0;if(t 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ve=function(t,e){this.type=t,this.value=e};ve.parse=function(t,e){if(2!==t.length)return e.error(\"'literal' expression requires exactly one argument, but found \"+(t.length-1)+\" instead.\");if(!he(t[1]))return e.error(\"invalid value\");var r=t[1],n=pe(r),i=e.expectedType;return\"array\"!==n.kind||0!==n.N||!i||\"array\"!==i.kind||\"number\"==typeof i.N&&0!==i.N||(n=i),new ve(n,r)},ve.prototype.evaluate=function(){return this.value},ve.prototype.eachChild=function(){},ve.prototype.outputDefined=function(){return!0},ve.prototype.serialize=function(){return\"array\"===this.type.kind||\"object\"===this.type.kind?[\"literal\",this.value]:this.value instanceof oe?[\"rgba\"].concat(this.value.toArray()):this.value instanceof ue?this.value.serialize():this.value};var ge=function(t){this.name=\"ExpressionEvaluationError\",this.message=t};ge.prototype.toJSON=function(){return this.message};var ye={string:qt,number:Ht,boolean:Gt,object:Yt},me=function(t,e){this.type=t,this.args=e};me.parse=function(t,e){if(t.length<2)return e.error(\"Expected at least one argument.\");var r,n=1,i=t[0];if(\"array\"===i){var a,o;if(t.length>2){var s=t[1];if(\"string\"!=typeof s||!(s in ye)||\"object\"===s)return e.error('The item type argument of \"array\" must be one of string, number, boolean',1);a=ye[s],n++}else a=Wt;if(t.length>3){if(null!==t[2]&&(\"number\"!=typeof t[2]||t[2]<0||t[2]!==Math.floor(t[2])))return e.error('The length argument to \"array\" must be a positive integer literal',2);o=t[2],n++}r=$t(a,o)}else r=ye[i];for(var l=[];n<t.length;n++){var u=e.parse(t[n],n,Wt);if(!u)return null;l.push(u)}return new me(r,l)},me.prototype.evaluate=function(t){for(var e=0;e<this.args.length;e++){var r=this.args[e].evaluate(t);if(!ee(this.type,pe(r)))return r;if(e===this.args.length-1)throw new ge(\"Expected value to be of type \"+Qt(this.type)+\", but found \"+Qt(pe(r))+\" instead.\")}return null},me.prototype.eachChild=function(t){this.args.forEach(t)},me.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},me.prototype.serialize=function(){var t=this.type,e=[t.kind];if(\"array\"===t.kind){var r=t.itemType;if(\"string\"===r.kind||\"number\"===r.kind||\"boolean\"===r.kind){e.push(r.kind);var n=t.N;(\"number\"==typeof n||this.args.length>1)&&e.push(n)}}return e.concat(this.args.map((function(t){return t.serialize()})))};var xe=function(t){this.type=Jt,this.sections=t};xe.parse=function(t,e){if(t.length<2)return e.error(\"Expected at least one argument.\");var r=t[1];if(!Array.isArray(r)&&\"object\"==typeof r)return e.error(\"First argument must be an image or text section.\");for(var n=[],i=!1,a=1;a<=t.length-1;++a){var o=t[a];if(i&&\"object\"==typeof o&&!Array.isArray(o)){i=!1;var s=null;if(o[\"font-scale\"]&&!(s=e.parse(o[\"font-scale\"],1,Ht)))return null;var l=null;if(o[\"text-font\"]&&!(l=e.parse(o[\"text-font\"],1,$t(qt))))return null;var u=null;if(o[\"text-color\"]&&!(u=e.parse(o[\"text-color\"],1,Zt)))return null;var c=n[n.length-1];c.scale=s,c.font=l,c.textColor=u}else{var f=e.parse(t[a],1,Wt);if(!f)return null;var h=f.type.kind;if(\"string\"!==h&&\"value\"!==h&&\"null\"!==h&&\"resolvedImage\"!==h)return e.error(\"Formatted text type must be 'string', 'value', 'image' or 'null'.\");i=!0,n.push({content:f,scale:null,font:null,textColor:null})}}return new xe(n)},xe.prototype.evaluate=function(t){return new ue(this.sections.map((function(e){var r=e.content.evaluate(t);return pe(r)===Kt?new le(\"\",r,null,null,null):new le(de(r),null,e.scale?e.scale.evaluate(t):null,e.font?e.font.evaluate(t).join(\",\"):null,e.textColor?e.textColor.evaluate(t):null)})))},xe.prototype.eachChild=function(t){for(var e=0,r=this.sections;e<r.length;e+=1){var n=r[e];t(n.content),n.scale&&t(n.scale),n.font&&t(n.font),n.textColor&&t(n.textColor)}},xe.prototype.outputDefined=function(){return!1},xe.prototype.serialize=function(){for(var t=[\"format\"],e=0,r=this.sections;e<r.length;e+=1){var n=r[e];t.push(n.content.serialize());var i={};n.scale&&(i[\"font-scale\"]=n.scale.serialize()),n.font&&(i[\"text-font\"]=n.font.serialize()),n.textColor&&(i[\"text-color\"]=n.textColor.serialize()),t.push(i)}return t};var be=function(t){this.type=Kt,this.input=t};be.parse=function(t,e){if(2!==t.length)return e.error(\"Expected two arguments.\");var r=e.parse(t[1],1,qt);return r?new be(r):e.error(\"No image name provided.\")},be.prototype.evaluate=function(t){var e=this.input.evaluate(t),r=ce.fromString(e);return r&&t.availableImages&&(r.available=t.availableImages.indexOf(e)>-1),r},be.prototype.eachChild=function(t){t(this.input)},be.prototype.outputDefined=function(){return!1},be.prototype.serialize=function(){return[\"image\",this.input.serialize()]};var 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a=Je(e,n),o=e[a],s=e[a+1],l=xr.interpolationFactor(this.interpolation,n,o,s),u=r[a].evaluate(t),c=r[a+1].evaluate(t);return\"interpolate\"===this.operator?Qe[this.type.kind.toLowerCase()](u,c,l):\"interpolate-hcl\"===this.operator?yr.reverse(yr.interpolate(yr.forward(u),yr.forward(c),l)):gr.reverse(gr.interpolate(gr.forward(u),gr.forward(c),l))},xr.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1)t(r[e])},xr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},xr.prototype.serialize=function(){var t;t=\"linear\"===this.interpolation.name?[\"linear\"]:\"exponential\"===this.interpolation.name?1===this.interpolation.base?[\"linear\"]:[\"exponential\",this.interpolation.base]:[\"cubic-bezier\"].concat(this.interpolation.controlPoints);for(var e=[this.operator,t,this.input.serialize()],r=0;r<this.labels.length;r++)e.push(this.labels[r],this.outputs[r].serialize());return e};var _r=function(t,e){this.type=t,this.args=e};_r.parse=function(t,e){if(t.length<2)return e.error(\"Expectected at least one argument.\");var r=null,n=e.expectedType;n&&\"value\"!==n.kind&&(r=n);for(var i=[],a=0,o=t.slice(1);a<o.length;a+=1){var s=o[a],l=e.parse(s,1+i.length,r,void 0,{typeAnnotation:\"omit\"});if(!l)return null;r=r||l.type,i.push(l)}var u=n&&i.some((function(t){return ee(n,t.type)}));return new _r(u?Wt:r,i)},_r.prototype.evaluate=function(t){for(var e,r=null,n=0,i=0,a=this.args;i<a.length&&(n++,(r=a[i].evaluate(t))&&r instanceof ce&&!r.available&&(e||(e=r.name),r=null,n===this.args.length&&(r=e)),null===r);i+=1);return r},_r.prototype.eachChild=function(t){this.args.forEach(t)},_r.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},_r.prototype.serialize=function(){var t=[\"coalesce\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var wr=function(t,e){this.type=e.type,this.bindings=[].concat(t),this.result=e};wr.prototype.evaluate=function(t){return this.result.evaluate(t)},wr.prototype.eachChild=function(t){for(var e=0,r=this.bindings;e<r.length;e+=1)t(r[e][1]);t(this.result)},wr.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found \"+(t.length-1)+\" instead.\");for(var r=[],n=1;n<t.length-1;n+=2){var i=t[n];if(\"string\"!=typeof i)return e.error(\"Expected string, but found \"+typeof i+\" instead.\",n);if(/[^a-zA-Z0-9_]/.test(i))return e.error(\"Variable names must contain only alphanumeric characters or '_'.\",n);var a=e.parse(t[n+1],n+1);if(!a)return null;r.push([i,a])}var o=e.parse(t[t.length-1],t.length-1,e.expectedType,r);return o?new wr(r,o):null},wr.prototype.outputDefined=function(){return this.result.outputDefined()},wr.prototype.serialize=function(){for(var t=[\"let\"],e=0,r=this.bindings;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t.push(i,a.serialize())}return 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kr=function(t,e){this.type=Gt,this.needle=t,this.haystack=e};kr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Wt),n=e.parse(t[2],2,Wt);return r&&n?re(r.type,[Gt,qt,Ht,Vt,Wt])?new kr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Qt(r.type)+\" instead\"):null},kr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!ne(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ge(\"Expected first argument to be of type boolean, string, number or null, but found \"+Qt(pe(e))+\" instead.\");if(!ne(r,[\"string\",\"array\"]))throw new ge(\"Expected second argument to be of type array or string, but found \"+Qt(pe(r))+\" instead.\");return r.indexOf(e)>=0},kr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},kr.prototype.outputDefined=function(){return!0},kr.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var Ar=function(t,e,r){this.type=Ht,this.needle=t,this.haystack=e,this.fromIndex=r};Ar.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error(\"Expected 3 or 4 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Wt),n=e.parse(t[2],2,Wt);if(!r||!n)return null;if(!re(r.type,[Gt,qt,Ht,Vt,Wt]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Qt(r.type)+\" instead\");if(4===t.length){var i=e.parse(t[3],3,Ht);return i?new Ar(r,n,i):null}return new Ar(r,n)},Ar.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!ne(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ge(\"Expected first argument to be of type boolean, string, number or 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Er(r.type,r,n)},Er.prototype.evaluate=function(t){var e=this.input.evaluate(t),r=this.beginIndex.evaluate(t);if(!ne(e,[\"string\",\"array\"]))throw new ge(\"Expected first argument to be of type array or string, but found \"+Qt(pe(e))+\" instead.\");if(this.endIndex){var n=this.endIndex.evaluate(t);return e.slice(r,n)}return e.slice(r)},Er.prototype.eachChild=function(t){t(this.input),t(this.beginIndex),this.endIndex&&t(this.endIndex)},Er.prototype.outputDefined=function(){return!1},Er.prototype.serialize=function(){if(null!=this.endIndex&&void 0!==this.endIndex){var t=this.endIndex.serialize();return[\"slice\",this.input.serialize(),this.beginIndex.serialize(),t]}return[\"slice\",this.input.serialize(),this.beginIndex.serialize()]};var Or=Pr(\"==\",(function(t,e,r){return e===r}),Cr),Ir=Pr(\"!=\",(function(t,e,r){return e!==r}),(function(t,e,r,n){return!Cr(0,e,r,n)})),Dr=Pr(\"<\",(function(t,e,r){return e<r}),(function(t,e,r,n){return 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e=[],a=t.value,s=t.key;if(\"array\"!==Jr(a))return[new zt(s,a,\"array expected, \"+Jr(a)+\" found\")];if(2!==a.length)return[new zt(s,a,\"array length 2 expected, length \"+a.length+\" found\")];if(u){if(\"object\"!==Jr(a[0]))return[new zt(s,a,\"object expected, \"+Jr(a[0])+\" found\")];if(void 0===a[0].zoom)return[new zt(s,a,\"object stop key must have zoom\")];if(void 0===a[0].value)return[new zt(s,a,\"object stop key must have value\")];if(n&&n>Bt(a[0].zoom))return[new zt(s,a[0].zoom,\"stop zoom values must appear in ascending order\")];Bt(a[0].zoom)!==n&&(n=Bt(a[0].zoom),r=void 0,o={}),e=e.concat(dn({key:s+\"[0]\",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:gn,value:h}}))}else e=e.concat(h({key:s+\"[0]\",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return sn(Nt(a[1]))?e.concat([new zt(s+\"[1]\",a[1],\"expressions are not allowed in function 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t.length<=1?\"any\"!==r:\"==\"===r?Mn(t[1],t[2],\"==\"):\"!=\"===r?Ln(Mn(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?Mn(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(An))):\"all\"===r?[\"all\"].concat(t.slice(1).map(An)):\"none\"===r?[\"all\"].concat(t.slice(1).map(An).map(Ln)):\"in\"===r?Sn(t[1],t.slice(2)):\"!in\"===r?Ln(Sn(t[1],t.slice(2))):\"has\"===r?En(t[1]):\"!has\"===r?Ln(En(t[1])):\"within\"!==r||t}function Mn(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function Sn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(Tn)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function 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r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return Un({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var u,c=t.valueSpec||s[o];if(!c)return[new zt(r,a,'unknown property \"'+o+'\"')];if(\"string\"===Jr(a)&&Yr(c)&&!c.tokens&&(u=/^{([^}]+)}$/.exec(a)))return[new zt(r,a,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(u[1])+\" }`.\")];var f=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&f.push(new zt(r,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&Kr(Nt(a))&&\"identity\"===Bt(a.type)&&f.push(new zt(r,a,'\"text-font\" does not support identity 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h=i.sources&&i.sources[r.source],p=h&&Bt(h.type);h?\"vector\"===p&&\"raster\"===s?e.push(new zt(n,r.source,'layer \"'+r.id+'\" requires a raster source')):\"raster\"===p&&\"raster\"!==s?e.push(new zt(n,r.source,'layer \"'+r.id+'\" requires a vector source')):\"vector\"!==p||r[\"source-layer\"]?\"raster-dem\"===p&&\"hillshade\"!==s?e.push(new zt(n,r.source,\"raster-dem source can only be used with layer type 'hillshade'.\")):\"line\"!==s||!r.paint||!r.paint[\"line-gradient\"]||\"geojson\"===p&&h.lineMetrics||e.push(new zt(n,r,'layer \"'+r.id+'\" specifies a line-gradient, which requires a GeoJSON source with `lineMetrics` enabled.')):e.push(new zt(n,r,'layer \"'+r.id+'\" must specify a \"source-layer\"')):e.push(new zt(n,r.source,'source \"'+r.source+'\" not found'))}else e.push(new zt(n,r,'missing required property \"source\"'));return e=e.concat(dn({key:n,value:r,valueSpec:a.layer,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(){return[]},type:function(){return Un({key:n+\".type\",value:r.type,valueSpec:a.layer.type,style:t.style,styleSpec:t.styleSpec,object:r,objectKey:\"type\"})},filter:Cn,layout:function(t){return dn({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return Dn(Ft({layerType:s},t))}}})},paint:function(t){return dn({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return In(Ft({layerType:s},t))}}})}}})),e}function Rn(t){var e=t.value,r=t.key,n=Jr(e);return\"string\"!==n?[new zt(r,e,\"string expected, \"+n+\" found\")]:[]}var Fn={promoteId:function(t){var e=t.key,r=t.value;if(\"string\"===Jr(r))return Rn({key:e,value:r});var n=[];for(var i in r)n.push.apply(n,Rn({key:e+\".\"+i,value:r[i]}));return n}};function Bn(t){var e=t.value,r=t.key,n=t.styleSpec,i=t.style;if(!e.type)return[new zt(r,e,'\"type\" is required')];var a,o=Bt(e.type);switch(o){case\"vector\":case\"raster\":case\"raster-dem\":return dn({key:r,value:e,valueSpec:n[\"source_\"+o.replace(\"-\",\"_\")],style:t.style,styleSpec:n,objectElementValidators:Fn});case\"geojson\":if(a=dn({key:r,value:e,valueSpec:n.source_geojson,style:i,styleSpec:n,objectElementValidators:Fn}),e.cluster)for(var s in e.clusterProperties){var l=e.clusterProperties[s],u=l[0],c=l[1],f=\"string\"==typeof u?[u,[\"accumulated\"],[\"get\",s]]:u;a.push.apply(a,mn({key:r+\".\"+s+\".map\",value:c,expressionContext:\"cluster-map\"})),a.push.apply(a,mn({key:r+\".\"+s+\".reduce\",value:f,expressionContext:\"cluster-reduce\"}))}return a;case\"video\":return dn({key:r,value:e,valueSpec:n.source_video,style:i,styleSpec:n});case\"image\":return dn({key:r,value:e,valueSpec:n.source_image,style:i,styleSpec:n});case\"canvas\":return[new zt(r,null,\"Please use runtime APIs to add canvas sources, rather than including them in stylesheets.\",\"source.canvas\")];default:return xn({key:r+\".type\",value:e.type,valueSpec:{values:[\"vector\",\"raster\",\"raster-dem\",\"geojson\",\"video\",\"image\"]},style:i,styleSpec:n})}}function Nn(t){var e=t.value,r=t.styleSpec,n=r.light,i=t.style,a=[],o=Jr(e);if(void 0===e)return a;if(\"object\"!==o)return a.concat([new zt(\"light\",e,\"object expected, \"+o+\" found\")]);for(var s in e){var l=s.match(/^(.*)-transition$/);a=l&&n[l[1]]&&n[l[1]].transition?a.concat(Un({key:s,value:e[s],valueSpec:r.transition,style:i,styleSpec:r})):n[s]?a.concat(Un({key:s,value:e[s],valueSpec:n[s],style:i,styleSpec:r})):a.concat([new zt(s,e[s],'unknown property \"'+s+'\"')])}return a}var jn={\"*\":function(){return[]},array:vn,boolean:function(t){var e=t.value,r=t.key,n=Jr(e);return\"boolean\"!==n?[new zt(r,e,\"boolean expected, \"+n+\" found\")]:[]},number:gn,color:function(t){var e=t.key,r=t.value,n=Jr(r);return\"string\"!==n?[new zt(e,r,\"color 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o=i[$n+a],s=i[$n+a+1];n.push(o===s?null:i.subarray(o,s))}var l=i[$n+n.length],u=i[$n+n.length+1];this.keys=i.subarray(l,u),this.bboxes=i.subarray(u),this.insert=this._insertReadonly}else{this.d=e+2*r;for(var c=0;c<this.d*this.d;c++)n.push([]);this.keys=[],this.bboxes=[]}this.n=e,this.extent=t,this.padding=r,this.scale=e/t,this.uid=0;var f=r/e*t;this.min=-f,this.max=t+f}Qn.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertCell,this.uid++),this.keys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qn.prototype._insertReadonly=function(){throw\"Cannot insert into a GridIndex created from an ArrayBuffer.\"},Qn.prototype._insertCell=function(t,e,r,n,i,a){this.cells[i].push(a)},Qn.prototype.query=function(t,e,r,n,i){var a=this.min,o=this.max;if(t<=a&&e<=a&&o<=r&&o<=n&&!i)return Array.prototype.slice.call(this.keys);var s=[];return this._forEachCell(t,e,r,n,this._queryCell,s,{},i),s},Qn.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=this.cells[i];if(null!==l)for(var u=this.keys,c=this.bboxes,f=0;f<l.length;f++){var h=l[f];if(void 0===o[h]){var p=4*h;(s?s(c[p+0],c[p+1],c[p+2],c[p+3]):t<=c[p+2]&&e<=c[p+3]&&r>=c[p+0]&&n>=c[p+1])?(o[h]=!0,a.push(u[h])):o[h]=!1}}},Qn.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToCellCoord(t),u=this._convertToCellCoord(e),c=this._convertToCellCoord(r),f=this._convertToCellCoord(n),h=l;h<=c;h++)for(var p=u;p<=f;p++){var d=this.d*p+h;if((!s||s(this._convertFromCellCoord(h),this._convertFromCellCoord(p),this._convertFromCellCoord(h+1),this._convertFromCellCoord(p+1)))&&i.call(this,t,e,r,n,d,a,o,s))return}},Qn.prototype._convertFromCellCoord=function(t){return(t-this.padding)/this.scale},Qn.prototype._convertToCellCoord=function(t){return Math.max(0,Math.min(this.d-1,Math.floor(t*this.scale)+this.padding))},Qn.prototype.toArrayBuffer=function(){if(this.arrayBuffer)return this.arrayBuffer;for(var t=this.cells,e=$n+this.cells.length+1+1,r=0,n=0;n<this.cells.length;n++)r+=this.cells[n].length;var i=new Int32Array(e+r+this.keys.length+this.bboxes.length);i[0]=this.extent,i[1]=this.n,i[2]=this.padding;for(var a=e,o=0;o<t.length;o++){var s=t[o];i[$n+o]=a,i.set(s,a),a+=s.length}return i[$n+t.length]=a,i.set(this.keys,a),a+=this.keys.length,i[$n+t.length+1]=a,i.set(this.bboxes,a),a+=this.bboxes.length,i.buffer};var ti=self.ImageData,ei=self.ImageBitmap,ri={};function ni(t,e,r){void 0===r&&(r={}),Object.defineProperty(e,\"_classRegistryKey\",{value:t,writeable:!1}),ri[t]={klass:e,omit:r.omit||[],shallow:r.shallow||[]}}for(var ii in ni(\"Object\",Object),Kn.serialize=function(t,e){var r=t.toArrayBuffer();return e&&e.push(r),{buffer:r}},Kn.deserialize=function(t){return new Kn(t.buffer)},ni(\"Grid\",Kn),ni(\"Color\",oe),ni(\"Error\",Error),ni(\"ResolvedImage\",ce),ni(\"StylePropertyFunction\",hn),ni(\"StyleExpression\",on,{omit:[\"_evaluator\"]}),ni(\"ZoomDependentExpression\",cn),ni(\"ZoomConstantExpression\",un),ni(\"CompoundExpression\",Ae,{omit:[\"_evaluate\"]}),jr)jr[ii]._classRegistryKey||ni(\"Expression_\"+ii,jr[ii]);function ai(t){return t&&\"undefined\"!=typeof ArrayBuffer&&(t instanceof ArrayBuffer||t.constructor&&\"ArrayBuffer\"===t.constructor.name)}function oi(t){return ei&&t instanceof ei}function si(t,e){if(null==t||\"boolean\"==typeof t||\"number\"==typeof t||\"string\"==typeof t||t instanceof Boolean||t instanceof Number||t instanceof String||t instanceof Date||t instanceof RegExp)return t;if(ai(t)||oi(t))return e&&e.push(t),t;if(ArrayBuffer.isView(t)){var r=t;return e&&e.push(r.buffer),r}if(t instanceof ti)return e&&e.push(t.data.buffer),t;if(Array.isArray(t)){for(var n=[],i=0,a=t;i<a.length;i+=1){var o=a[i];n.push(si(o,e))}return n}if(\"object\"==typeof t){var s=t.constructor,l=s._classRegistryKey;if(!l)throw new Error(\"can't serialize object of unregistered class\");var u=s.serialize?s.serialize(t,e):{};if(!s.serialize){for(var c in t)if(t.hasOwnProperty(c)&&!(ri[l].omit.indexOf(c)>=0)){var f=t[c];u[c]=ri[l].shallow.indexOf(c)>=0?f:si(f,e)}t instanceof Error&&(u.message=t.message)}if(u.$name)throw new Error(\"$name property is reserved for worker serialization logic.\");return\"Object\"!==l&&(u.$name=l),u}throw new Error(\"can't serialize object of type \"+typeof t)}function li(t){if(null==t||\"boolean\"==typeof t||\"number\"==typeof t||\"string\"==typeof t||t instanceof Boolean||t instanceof Number||t instanceof String||t instanceof Date||t instanceof RegExp||ai(t)||oi(t)||ArrayBuffer.isView(t)||t instanceof ti)return t;if(Array.isArray(t))return t.map(li);if(\"object\"==typeof t){var e=t.$name||\"Object\",r=ri[e].klass;if(!r)throw new Error(\"can't deserialize unregistered class 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Aboriginal Syllabics\":function(t){return t>=5120&&t<=5759},Khmer:function(t){return t>=6016&&t<=6143},\"Unified Canadian Aboriginal Syllabics Extended\":function(t){return t>=6320&&t<=6399},\"General Punctuation\":function(t){return t>=8192&&t<=8303},\"Letterlike Symbols\":function(t){return t>=8448&&t<=8527},\"Number Forms\":function(t){return t>=8528&&t<=8591},\"Miscellaneous Technical\":function(t){return t>=8960&&t<=9215},\"Control Pictures\":function(t){return t>=9216&&t<=9279},\"Optical Character Recognition\":function(t){return t>=9280&&t<=9311},\"Enclosed Alphanumerics\":function(t){return t>=9312&&t<=9471},\"Geometric Shapes\":function(t){return t>=9632&&t<=9727},\"Miscellaneous Symbols\":function(t){return t>=9728&&t<=9983},\"Miscellaneous Symbols and Arrows\":function(t){return t>=11008&&t<=11263},\"CJK Radicals Supplement\":function(t){return t>=11904&&t<=12031},\"Kangxi Radicals\":function(t){return t>=12032&&t<=12255},\"Ideographic Description 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t&&t.indexOf(\"NetworkError\")>-1&&(Ti=_i),wi&&wi(t)};function Mi(){Si.fire(new Pt(\"pluginStateChange\",{pluginStatus:Ti,pluginURL:ki}))}var Si=new It,Ei=function(){return Ti},Li=function(){if(Ti!==mi||!ki)throw new Error(\"rtl-text-plugin cannot be downloaded unless a pluginURL is specified\");Ti=xi,Mi(),ki&&kt({url:ki},(function(t){t?Ai(t):(Ti=bi,Mi())}))},Ci={applyArabicShaping:null,processBidirectionalText:null,processStyledBidirectionalText:null,isLoaded:function(){return Ti===bi||null!=Ci.applyArabicShaping},isLoading:function(){return Ti===xi},setState:function(t){Ti=t.pluginStatus,ki=t.pluginURL},isParsed:function(){return null!=Ci.applyArabicShaping&&null!=Ci.processBidirectionalText&&null!=Ci.processStyledBidirectionalText},getPluginURL:function(){return ki}},Pi=function(t,e){this.zoom=t,e?(this.now=e.now,this.fadeDuration=e.fadeDuration,this.zoomHistory=e.zoomHistory,this.transition=e.transition):(this.now=0,this.fadeDuration=0,this.zoomHistory=new 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b(this._values[t].transition)},Di.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ii(this._values[t].property)),this._values[t].transition=b(e)||void 0},Di.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i);var a=this.getTransition(n);void 0!==a&&(t[n+\"-transition\"]=a)}return t},Di.prototype.transitioned=function(t,e){for(var r=new Ri(this._properties),n=0,i=Object.keys(this._values);n<i.length;n+=1){var a=i[n];r._values[a]=this._values[a].transitioned(t,e._values[a])}return r},Di.prototype.untransitioned=function(){for(var t=new Ri(this._properties),e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e];t._values[n]=this._values[n].untransitioned()}return t};var zi=function(t,e,r,n,i){this.property=t,this.value=e,this.begin=i+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};zi.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,i=this.value.possiblyEvaluate(t,e,r),a=this.prior;if(a){if(n>this.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n<this.begin)return a.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,r),i,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var Ri=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};Ri.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Ni(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},Ri.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1){var r=e[t];if(this._values[r].prior)return!0}return!1};var Fi=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};Fi.prototype.getValue=function(t){return b(this._values[t].value)},Fi.prototype.setValue=function(t,e){this._values[t]=new Oi(this._values[t].property,null===e?void 0:b(e))},Fi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},Fi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Ni(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var Bi=function(t,e,r){this.property=t,this.value=e,this.parameters=r};Bi.prototype.isConstant=function(){return\"constant\"===this.value.kind},Bi.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},Bi.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var Ni=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};Ni.prototype.get=function(t){return this._values[t]};var ji=function(t){this.specification=t};ji.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},ji.prototype.interpolate=function(t,e,r){var n=Qe[this.specification.type];return n?n(t,e,r):t};var Ui=function(t,e){this.specification=t,this.overrides=e};Ui.prototype.possiblyEvaluate=function(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new Bi(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new Bi(this,t.expression,e)},Ui.prototype.interpolate=function(t,e,r){if(\"constant\"!==t.value.kind||\"constant\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new Bi(this,{kind:\"constant\",value:void 0},t.parameters);var n=Qe[this.specification.type];return n?new Bi(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},Ui.prototype.evaluate=function(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};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.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new Bi(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n),a=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new Bi(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new Bi(this,{kind:\"constant\",value:s},e)}return new Bi(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,i,a){if(\"source\"===t.kind){var o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Ui),Hi=function(t){this.specification=t};Hi.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new Pi(Math.floor(e.zoom-1),e)),t.expression.evaluate(new Pi(Math.floor(e.zoom),e)),t.expression.evaluate(new Pi(Math.floor(e.zoom+1),e)),e)}},Hi.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},Hi.prototype.interpolate=function(t){return t};var qi=function(t){this.specification=t};qi.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},qi.prototype.interpolate=function(){return!1};var Gi=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new Oi(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new Ii(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};ni(\"DataDrivenProperty\",Ui),ni(\"DataConstantProperty\",ji),ni(\"CrossFadedDataDrivenProperty\",Vi),ni(\"CrossFadedProperty\",Hi),ni(\"ColorRampProperty\",qi);var Zi=\"-transition\",Yi=function(t){function e(e,r){if(t.call(this),this.id=e.id,this.type=e.type,this._featureFilter={filter:function(){return!0},needGeometry:!1},\"custom\"!==e.type&&(this.metadata=e.metadata,this.minzoom=e.minzoom,this.maxzoom=e.maxzoom,\"background\"!==e.type&&(this.source=e.source,this.sourceLayer=e[\"source-layer\"],this.filter=e.filter),r.layout&&(this._unevaluatedLayout=new Fi(r.layout)),r.paint)){for(var n in this._transitionablePaint=new Di(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:!1});for(var i in e.layout)this.setLayoutProperty(i,e.layout[i],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new Ni(r.paint)}}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".layout.\"+t;if(this._validate(Xn,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return y(t,Zi)?this._transitionablePaint.getTransition(t.slice(0,-11)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".paint.\"+t;if(this._validate(Wn,n,t,e,r))return!1}if(y(t,Zi))return this._transitionablePaint.setTransition(t.slice(0,-11),e||void 0),!1;var i=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===i.property.specification[\"property-type\"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),x(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&Jn(this,t.call(Zn,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Dt,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof Bi&&Yr(e.property.specification)&&(\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent)return!0}return!1},e}(It),Wi={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},Xi=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Ji=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Ki(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Wi[i].BYTES_PER_ELEMENT),o=r=$i(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:$i(r,Math.max(n,e)),alignment:e}}function $i(t,e){return Math.ceil(t/e)*e}Ji.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Ji.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Ji.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Ji.prototype.clear=function(){this.length=0},Ji.prototype.resize=function(t){this.reserve(t),this.length=t},Ji.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Ji.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var Qi=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){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.int16[n+0]=e,this.int16[n+1]=r,t},e}(Ji);Qi.prototype.bytesPerElement=4,ni(\"StructArrayLayout2i4\",Qi);var ta=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 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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}(Ji);ea.prototype.bytesPerElement=12,ni(\"StructArrayLayout2i4i12\",ea);var ra=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=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Ji);ra.prototype.bytesPerElement=8,ni(\"StructArrayLayout2i4ub8\",ra);var na=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,n,i,a,o,s,l,u){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l,u)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c){var f=9*t,h=18*t;return this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint8[h+16]=u,this.uint8[h+17]=c,t},e}(Ji);na.prototype.bytesPerElement=18,ni(\"StructArrayLayout8ui2ub18\",na);var ia=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)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,u,c,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=u,this.int16[p+9]=c,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Ji);ia.prototype.bytesPerElement=24,ni(\"StructArrayLayout4i4ui4i24\",ia);var aa=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){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}(Ji);aa.prototype.bytesPerElement=12,ni(\"StructArrayLayout3f12\",aa);var oa=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}(Ji);oa.prototype.bytesPerElement=4,ni(\"StructArrayLayout1ul4\",oa);var sa=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){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u){var c=10*t,f=5*t;return this.int16[c+0]=e,this.int16[c+1]=r,this.int16[c+2]=n,this.int16[c+3]=i,this.int16[c+4]=a,this.int16[c+5]=o,this.uint32[f+3]=s,this.uint16[c+8]=l,this.uint16[c+9]=u,t},e}(Ji);sa.prototype.bytesPerElement=20,ni(\"StructArrayLayout6i1ul2ui20\",sa);var la=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}(Ji);la.prototype.bytesPerElement=12,ni(\"StructArrayLayout2i2i2i12\",la);var ua=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),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Ji);ua.prototype.bytesPerElement=16,ni(\"StructArrayLayout2f1f2i16\",ua);var ca=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}(Ji);ca.prototype.bytesPerElement=12,ni(\"StructArrayLayout2ub2f12\",ca);var fa=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 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this.int16[m+0]=e,this.int16[m+1]=r,this.uint16[m+2]=n,this.uint16[m+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[m+10]=l,this.uint16[m+11]=u,this.uint16[m+12]=c,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=v,this.uint32[x+10]=g,this.int16[m+22]=y,t},e}(Ji);ha.prototype.bytesPerElement=48,ni(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",ha);var pa=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,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=u,this.uint16[L+9]=c,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=v,this.uint16[L+15]=g,this.uint16[L+16]=y,this.uint16[L+17]=m,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=A,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Ji);pa.prototype.bytesPerElement=68,ni(\"StructArrayLayout8i15ui1ul4f68\",pa);var da=function(t){function e(){t.apply(this,arguments)}return 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this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Ji);ba.prototype.bytesPerElement=16,ni(\"StructArrayLayout4f16\",ba);var _a=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},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return 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this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}(Xi);Ta.prototype.size=48;var ka=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 Ta(this,t)},e}(ha);ni(\"PlacedSymbolArray\",ka);var Aa=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},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+11]},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},r.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},r.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},r.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},r.useRuntimeCollisionCircles.get=function(){return 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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}(Ga),Ya=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}(Ga),Wa=function(t){function e(e,r){t.call(this,e,r),this.current=[0,0]}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){t[0]===this.current[0]&&t[1]===this.current[1]||(this.current=t,this.gl.uniform2f(this.location,t[0],t[1]))},e}(Ga),Xa=function(t){function e(e,r){t.call(this,e,r),this.current=[0,0,0]}return 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Float32Array(16),Qa=function(t){function e(e,r){t.call(this,e,r),this.current=$a}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t[12]!==this.current[12]||t[0]!==this.current[0])return this.current=t,void this.gl.uniformMatrix4fv(this.location,!1,t);for(var e=1;e<16;e++)if(t[e]!==this.current[e]){this.current=t,this.gl.uniformMatrix4fv(this.location,!1,t);break}},e}(Ga);function to(t){return[Ia(255*t.r,255*t.g),Ia(255*t.b,255*t.a)]}var eo=function(t,e,r){this.value=t,this.uniformNames=e.map((function(t){return\"u_\"+t})),this.type=r};eo.prototype.setUniform=function(t,e,r){t.set(r.constantOr(this.value))},eo.prototype.getBinding=function(t,e,r){return\"color\"===this.type?new Ka(t,e):new Ya(t,e)};var ro=function(t,e){this.uniformNames=e.map((function(t){return\"u_\"+t})),this.patternFrom=null,this.patternTo=null,this.pixelRatioFrom=1,this.pixelRatioTo=1};ro.prototype.setConstantPatternPositions=function(t,e){this.pixelRatioFrom=e.pixelRatio,this.pixelRatioTo=t.pixelRatio,this.patternFrom=e.tlbr,this.patternTo=t.tlbr},ro.prototype.setUniform=function(t,e,r,n){var i=\"u_pattern_to\"===n?this.patternTo:\"u_pattern_from\"===n?this.patternFrom:\"u_pixel_ratio_to\"===n?this.pixelRatioTo:\"u_pixel_ratio_from\"===n?this.pixelRatioFrom:null;i&&t.set(i)},ro.prototype.getBinding=function(t,e,r){return\"u_pattern\"===r.substr(0,9)?new Ja(t,e):new Ya(t,e)};var no=function(t,e,r,n){this.expression=t,this.type=r,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:\"a_\"+t,type:\"Float32\",components:\"color\"===r?2:1,offset:0}})),this.paintVertexArray=new n};no.prototype.populatePaintArray=function(t,e,r,n,i){var a=this.paintVertexArray.length,o=this.expression.evaluate(new Pi(0),e,{},n,[],i);this.paintVertexArray.resize(t),this._setPaintValue(a,t,o)},no.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:0},r,n);this._setPaintValue(t,e,i)},no.prototype._setPaintValue=function(t,e,r){if(\"color\"===this.type)for(var n=to(r),i=t;i<e;i++)this.paintVertexArray.emplace(i,n[0],n[1]);else{for(var a=t;a<e;a++)this.paintVertexArray.emplace(a,r);this.maxValue=Math.max(this.maxValue,Math.abs(r))}},no.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))},no.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()};var io=function(t,e,r,n,i,a){this.expression=t,this.uniformNames=e.map((function(t){return\"u_\"+t+\"_t\"})),this.type=r,this.useIntegerZoom=n,this.zoom=i,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:\"a_\"+t,type:\"Float32\",components:\"color\"===r?4:2,offset:0}})),this.paintVertexArray=new a};io.prototype.populatePaintArray=function(t,e,r,n,i){var a=this.expression.evaluate(new Pi(this.zoom),e,{},n,[],i),o=this.expression.evaluate(new Pi(this.zoom+1),e,{},n,[],i),s=this.paintVertexArray.length;this.paintVertexArray.resize(t),this._setPaintValue(s,t,a,o)},io.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:this.zoom},r,n),a=this.expression.evaluate({zoom:this.zoom+1},r,n);this._setPaintValue(t,e,i,a)},io.prototype._setPaintValue=function(t,e,r,n){if(\"color\"===this.type)for(var i=to(r),a=to(n),o=t;o<e;o++)this.paintVertexArray.emplace(o,i[0],i[1],a[0],a[1]);else{for(var s=t;s<e;s++)this.paintVertexArray.emplace(s,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}},io.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))},io.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},io.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=u(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},io.prototype.getBinding=function(t,e,r){return new Ya(t,e)};var ao=function(t,e,r,n,i,a){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=a,this.zoomInPaintVertexArray=new i,this.zoomOutPaintVertexArray=new i};ao.prototype.populatePaintArray=function(t,e,r){var n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)},ao.prototype.updatePaintArray=function(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)},ao.prototype._setPaintValues=function(t,e,r,n){if(n&&r){var i=r.min,a=r.mid,o=r.max,s=n[i],l=n[a],u=n[o];if(s&&l&&u)for(var c=t;c<e;c++)this.zoomInPaintVertexArray.emplace(c,l.tl[0],l.tl[1],l.br[0],l.br[1],s.tl[0],s.tl[1],s.br[0],s.br[1],l.pixelRatio,s.pixelRatio),this.zoomOutPaintVertexArray.emplace(c,l.tl[0],l.tl[1],l.br[0],l.br[1],u.tl[0],u.tl[1],u.br[0],u.br[1],l.pixelRatio,u.pixelRatio)}},ao.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,Da.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,Da.members,this.expression.isStateDependent))},ao.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var oo=function(t,e,r,n){this.binders={},this.layoutAttributes=n,this._buffers=[];var i=[];for(var a in t.paint._values)if(r(a)){var o=t.paint.get(a);if(o instanceof Bi&&Yr(o.property.specification)){var s=lo(a,t.type),l=o.value,u=o.property.specification.type,c=o.property.useIntegerZoom,f=o.property.specification[\"property-type\"],h=\"cross-faded\"===f||\"cross-faded-data-driven\"===f;if(\"constant\"===l.kind)this.binders[a]=h?new ro(l.value,s):new eo(l.value,s,u),i.push(\"/u_\"+a);else if(\"source\"===l.kind||h){var p=uo(a,u,\"source\");this.binders[a]=h?new ao(l,u,c,e,p,t.id):new no(l,s,u,p),i.push(\"/a_\"+a)}else{var d=uo(a,u,\"composite\");this.binders[a]=new io(l,s,u,c,e,d),i.push(\"/z_\"+a)}}}this.cacheKey=i.sort().join(\"\")};oo.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof no||e instanceof io?e.maxValue:0},oo.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a in this.binders){var o=this.binders[a];(o instanceof no||o instanceof io||o instanceof ao)&&o.populatePaintArray(t,e,r,n,i)}},oo.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders){var n=this.binders[r];n instanceof ro&&n.setConstantPatternPositions(t,e)}},oo.prototype.updatePaintArrays=function(t,e,r,n,i){var a=!1;for(var o in t)for(var s=0,l=e.getPositions(o);s<l.length;s+=1){var u=l[s],c=r.feature(u.index);for(var f in this.binders){var h=this.binders[f];if((h instanceof no||h instanceof io||h instanceof ao)&&!0===h.expression.isStateDependent){var p=n.paint.get(f);h.expression=p.value,h.updatePaintArray(u.start,u.end,c,t[o],i),a=!0}}}return a},oo.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof eo||r instanceof ro)&&t.push.apply(t,r.uniformNames.map((function(t){return\"#define HAS_UNIFORM_\"+t})))}return t},oo.prototype.getPaintVertexBuffers=function(){return this._buffers},oo.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var i=this.binders[n];if(i instanceof eo||i instanceof ro||i instanceof io)for(var a=0,o=i.uniformNames;a<o.length;a+=1){var s=o[a];if(e[s]){var l=i.getBinding(t,e[s],s);r.push({name:s,property:n,binding:l})}}}return r},oo.prototype.setUniforms=function(t,e,r,n){for(var i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.name,l=o.property,u=o.binding;this.binders[l].setUniform(u,n,r.get(l),s)}},oo.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof ao){var n=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;n&&this._buffers.push(n)}else(r instanceof no||r instanceof io)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer)}},oo.prototype.upload=function(t){for(var e in this.binders){var r=this.binders[e];(r instanceof no||r instanceof io||r instanceof ao)&&r.upload(t)}this.updatePaintBuffers()},oo.prototype.destroy=function(){for(var t in this.binders){var e=this.binders[t];(e instanceof no||e instanceof io||e instanceof ao)&&e.destroy()}};var so=function(t,e,r,n){void 0===n&&(n=function(){return!0}),this.programConfigurations={};for(var i=0,a=e;i<a.length;i+=1){var o=a[i];this.programConfigurations[o.id]=new oo(o,r,n,t)}this.needsUpload=!1,this._featureMap=new ja,this._bufferOffset=0};function lo(t,e){return{\"text-opacity\":[\"opacity\"],\"icon-opacity\":[\"opacity\"],\"text-color\":[\"fill_color\"],\"icon-color\":[\"fill_color\"],\"text-halo-color\":[\"halo_color\"],\"icon-halo-color\":[\"halo_color\"],\"text-halo-blur\":[\"halo_blur\"],\"icon-halo-blur\":[\"halo_blur\"],\"text-halo-width\":[\"halo_width\"],\"icon-halo-width\":[\"halo_width\"],\"line-gap-width\":[\"gapwidth\"],\"line-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-extrusion-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"]}[t]||[t.replace(e+\"-\",\"\").replace(/-/g,\"_\")]}function uo(t,e,r){var n={color:{source:xa,composite:ba},number:{source:da,composite:xa}},i=function(t){return{\"line-pattern\":{source:na,composite:na},\"fill-pattern\":{source:na,composite:na},\"fill-extrusion-pattern\":{source:na,composite:na}}[t]}(t);return i&&i[r]||n[e][r]}so.prototype.populatePaintArrays=function(t,e,r,n,i,a){for(var o in this.programConfigurations)this.programConfigurations[o].populatePaintArrays(t,e,n,i,a);void 0!==e.id&&this._featureMap.add(e.id,r,this._bufferOffset,t),this._bufferOffset=t,this.needsUpload=!0},so.prototype.updatePaintArrays=function(t,e,r,n){for(var i=0,a=r;i<a.length;i+=1){var o=a[i];this.needsUpload=this.programConfigurations[o.id].updatePaintArrays(t,this._featureMap,e,o,n)||this.needsUpload}},so.prototype.get=function(t){return this.programConfigurations[t]},so.prototype.upload=function(t){if(this.needsUpload){for(var e in this.programConfigurations)this.programConfigurations[e].upload(t);this.needsUpload=!1}},so.prototype.destroy=function(){for(var t in this.programConfigurations)this.programConfigurations[t].destroy()},ni(\"ConstantBinder\",eo),ni(\"CrossFadedConstantBinder\",ro),ni(\"SourceExpressionBinder\",no),ni(\"CrossFadedCompositeBinder\",ao),ni(\"CompositeExpressionBinder\",io),ni(\"ProgramConfiguration\",oo,{omit:[\"_buffers\"]}),ni(\"ProgramConfigurationSet\",so);var co=8192;var fo,ho=(fo=15,{min:-1*Math.pow(2,fo-1),max:Math.pow(2,fo-1)-1});function po(t){for(var e=co/t.extent,r=t.loadGeometry(),n=0;n<r.length;n++)for(var i=r[n],a=0;a<i.length;a++){var o=i[a];o.x=Math.round(o.x*e),o.y=Math.round(o.y*e),(o.x<ho.min||o.x>ho.max||o.y<ho.min||o.y>ho.max)&&(w(\"Geometry exceeds allowed extent, reduce your vector tile buffer size\"),o.x=u(o.x,ho.min,ho.max),o.y=u(o.y,ho.min,ho.max))}return r}function vo(t,e,r,n,i){t.emplaceBack(2*e+(n+1)/2,2*r+(i+1)/2)}var go=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 Qi,this.indexArray=new fa,this.segments=new Oa,this.programConfigurations=new so(Pa,t.layers,t.zoom),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function yo(t,e){for(var r=0;r<t.length;r++)if(Mo(e,t[r]))return!0;for(var n=0;n<e.length;n++)if(Mo(t,e[n]))return!0;return!!_o(t,e)}function mo(t,e,r){return!!Mo(t,e)||!!To(e,t,r)}function xo(t,e){if(1===t.length)return Ao(e,t[0]);for(var r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++)if(Mo(t,n[i]))return!0;for(var a=0;a<t.length;a++)if(Ao(e,t[a]))return!0;for(var o=0;o<e.length;o++)if(_o(t,e[o]))return!0;return!1}function bo(t,e,r){if(t.length>1){if(_o(t,e))return!0;for(var n=0;n<e.length;n++)if(To(e[n],t,r))return!0}for(var i=0;i<t.length;i++)if(To(t[i],e,r))return!0;return!1}function _o(t,e){if(0===t.length||0===e.length)return!1;for(var r=0;r<t.length-1;r++)for(var 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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 Xs(t,e,r){if(3===t){var n=new Zs(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Ys.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 Vs(this._pbf,e,this.extent,this._keys,this._values)};var Js={VectorTile:function(t,e){this.layers=t.readFields(Xs,{},e)},VectorTileFeature:Vs,VectorTileLayer:Zs},Ks=Js.VectorTileFeature.types,$s=Math.pow(2,13);function Qs(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*$s)+o,i*$s*2,a*$s*2,Math.round(s))}var tl=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 ea,this.indexArray=new fa,this.programConfigurations=new so(Us,t.layers,t.zoom),this.segments=new Oa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function el(t,e){return t.x===e.x&&(t.x<0||t.x>co)||t.y===e.y&&(t.y<0||t.y>co)}tl.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=zs(\"fill-extrusion\",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,u=a.sourceLayerIndex,c=this.layers[0]._featureFilter.needGeometry,f={type:o.type,id:s,properties:o.properties,geometry:c?po(o):[]};if(this.layers[0]._featureFilter.filter(new Pi(this.zoom),f,r)){var h={id:s,sourceLayerIndex:u,index:l,geometry:c?f.geometry:po(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(h.id=o.id),this.hasPattern?this.features.push(Rs(\"fill-extrusion\",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,u,this.index,!0)}}},tl.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},tl.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},tl.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},tl.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},tl.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Us),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},tl.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},tl.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=Is(e,500);a<o.length;a+=1){for(var s=o[a],l=0,u=0,c=s;u<c.length;u+=1)l+=c[u].length;for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!((O=d).every((function(t){return t.x<0}))||O.every((function(t){return t.x>co}))||O.every((function(t){return t.y<0}))||O.every((function(t){return t.y>co}))))for(var v=0,g=0;g<d.length;g++){var y=d[g];if(g>=1){var m=d[g-1];if(!el(y,m)){f.vertexLength+4>Oa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=y.sub(m)._perp()._unit(),b=m.dist(y);v+b>32768&&(v=0),Qs(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,v),Qs(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,v),v+=b,Qs(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,0,v),Qs(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,1,v);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>Oa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===Ks[t.type]){for(var w=[],T=[],k=f.vertexLength,A=0,M=s;A<M.length;A+=1){var S=M[A];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var L=S[E];Qs(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=es(w,T),P=0;P<C.length;P+=3)this.indexArray.emplaceBack(k+C[P],k+C[P+2],k+C[P+1]);f.primitiveLength+=C.length/3,f.vertexLength+=l}}var O;this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},ni(\"FillExtrusionBucket\",tl,{omit:[\"layers\",\"features\"]});var rl={paint:new Gi({\"fill-extrusion-opacity\":new ji(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Ui(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new ji(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new ji(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new Vi(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Ui(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Ui(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new ji(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},nl=function(t){function e(e){t.call(this,e,rl)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new tl(t)},e.prototype.queryRadius=function(){return Lo(this.paint.get(\"fill-extrusion-translate\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s,l){var u=Co(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),c=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),f=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),h=function(t,e,r,n){for(var i=[],o=0,s=t;o<s.length;o+=1){var l=s[o],u=[l.x,l.y,n,1];No(u,u,e),i.push(new a(u[0]/u[3],u[1]/u[3]))}return i}(u,l,0,0),p=function(t,e,r,n){for(var i=[],o=[],s=n[8]*e,l=n[9]*e,u=n[10]*e,c=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,v=0,g=t;v<g.length;v+=1){for(var y=[],m=[],x=0,b=g[v];x<b.length;x+=1){var _=b[x],w=_.x,T=_.y,k=n[0]*w+n[4]*T+n[12],A=n[1]*w+n[5]*T+n[13],M=n[2]*w+n[6]*T+n[14],S=n[3]*w+n[7]*T+n[15],E=M+u,L=S+c,C=k+f,P=A+h,O=M+p,I=S+d,D=new a((k+s)/L,(A+l)/L);D.z=E/L,y.push(D);var z=new a(C/I,P/I);z.z=O/I,m.push(z)}i.push(y),o.push(m)}return[i,o]}(n,f,c,l);return function(t,e,r){var n=1/0;xo(r,e)&&(n=al(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],u=a[s+1],c=o[s],f=[l,u,o[s+1],c,l];yo(r,f)&&(n=Math.min(n,al(r,f)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Yi);function il(t,e){return t.x*e.x+t.y*e.y}function al(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),u=o.sub(i),c=il(s,s),f=il(s,l),h=il(l,l),p=il(u,s),d=il(u,l),v=c*h-f*f,g=(h*p-f*d)/v,y=(c*d-f*p)/v,m=1-g-y,x=i.z*m+r.z*g+a.z*y;if(isFinite(x))return x}return 1/0}for(var b=1/0,_=0,w=e;_<w.length;_+=1){var T=w[_];b=Math.min(b,T.z)}return b}var ol=Ki([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,sl=Js.VectorTileFeature.types,ll=Math.cos(Math.PI/180*37.5),ul=Math.pow(2,14)/.5,cl=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.patternFeatures=[],this.layoutVertexArray=new ra,this.indexArray=new fa,this.programConfigurations=new so(ol,t.layers,t.zoom),this.segments=new Oa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};cl.prototype.populate=function(t,e,r){this.hasPattern=zs(\"line\",this.layers,e);for(var n=this.layers[0].layout.get(\"line-sort-key\"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,u=s.id,c=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p={type:l.type,id:u,properties:l.properties,geometry:h?po(l):[]};if(this.layers[0]._featureFilter.filter(new Pi(this.zoom),p,r)){h||(p.geometry=po(l));var d=n?n.evaluate(p,{},r):void 0,v={id:u,properties:l.properties,type:l.type,sourceLayerIndex:f,index:c,geometry:p.geometry,patterns:{},sortKey:d};i.push(v)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,y=i;g<y.length;g+=1){var m=y[g],x=m,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=Rs(\"line\",this.layers,m,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(m,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},cl.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},cl.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},cl.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},cl.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},cl.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,ol),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},cl.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},cl.prototype.addFeature=function(t,e,r,n,i){for(var a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),u=a.get(\"line-round-limit\"),c=0,f=e;c<f.length;c+=1){var h=f[c];this.addLine(h,t,o,s,l,u)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},cl.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty(\"mapbox_clip_start\")&&e.properties.hasOwnProperty(\"mapbox_clip_end\")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance()}for(var s=\"Polygon\"===sl[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var u=0;u<l-1&&t[u].equals(t[u+1]);)u++;if(!(l<(s?3:2))){\"bevel\"===r&&(i=1.05);var c,f=this.overscaling<=16?15*co/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,v=void 0,g=void 0;this.e1=this.e2=-1,s&&(c=t[l-2],g=t[u].sub(c)._unit()._perp());for(var y=u;y<l;y++)if(!(d=y===l-1?s?t[u+1]:void 0:t[y+1])||!t[y].equals(d)){g&&(v=g),c&&(p=c),c=t[y],g=d?d.sub(c)._unit()._perp():v;var m=(v=v||g).add(g);0===m.x&&0===m.y||m._unit();var x=v.x*g.x+v.y*g.y,b=m.x*g.x+m.y*g.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<ll&&p&&d,k=v.x*g.y-v.y*g.x>0;if(T&&y>u){var A=c.dist(p);if(A>2*f){var M=c.sub(c.sub(p)._mult(f/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,v,0,0,h),p=M}}var S=p&&d,E=S?r:s?\"butt\":n;if(S&&\"round\"===E&&(_<a?E=\"miter\":_<=2&&(E=\"fakeround\")),\"miter\"===E&&_>i&&(E=\"bevel\"),\"bevel\"===E&&(_>2&&(E=\"flipbevel\"),_<i&&(E=\"miter\")),p&&this.updateDistance(p,c),\"miter\"===E)m._mult(_),this.addCurrentVertex(c,m,0,0,h);else if(\"flipbevel\"===E){if(_>100)m=g.mult(-1);else{var L=_*v.add(g).mag()/v.sub(g).mag();m._perp()._mult(L*(k?-1:1))}this.addCurrentVertex(c,m,0,0,h),this.addCurrentVertex(c,m.mult(-1),0,0,h)}else if(\"bevel\"===E||\"fakeround\"===E){var C=-Math.sqrt(_*_-1),P=k?C:0,O=k?0:C;if(p&&this.addCurrentVertex(c,v,P,O,h),\"fakeround\"===E)for(var I=Math.round(180*w/Math.PI/20),D=1;D<I;D++){var z=D/I;if(.5!==z){var R=z-.5;z+=z*R*(z-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=g.sub(v)._mult(z)._add(v)._unit()._mult(k?-1:1);this.addHalfVertex(c,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(c,g,-P,-O,h)}else if(\"butt\"===E)this.addCurrentVertex(c,m,0,0,h);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(c,m,B,B,h)}else\"round\"===E&&(p&&(this.addCurrentVertex(c,v,0,0,h),this.addCurrentVertex(c,v,1,1,h,!0)),d&&(this.addCurrentVertex(c,g,-1,-1,h,!0),this.addCurrentVertex(c,g,0,0,h)));if(T&&y<l-1){var N=c.dist(d);if(N>2*f){var j=c.add(d.sub(c)._mult(f/N)._round());this.updateDistance(c,j),this.addCurrentVertex(j,g,0,0,h),c=j}}}}},cl.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,u=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,u,a,!0,-n,i),this.distance>ul/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},cl.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,u=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&u)<<2,u>>6);var c=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,c),o.primitiveLength++),i?this.e2=c:this.e1=c},cl.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(ul-1):this.distance},cl.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},ni(\"LineBucket\",cl,{omit:[\"layers\",\"patternFeatures\"]});var fl=new Gi({\"line-cap\":new ji(Dt.layout_line[\"line-cap\"]),\"line-join\":new Ui(Dt.layout_line[\"line-join\"]),\"line-miter-limit\":new ji(Dt.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new ji(Dt.layout_line[\"line-round-limit\"]),\"line-sort-key\":new Ui(Dt.layout_line[\"line-sort-key\"])}),hl={paint:new Gi({\"line-opacity\":new Ui(Dt.paint_line[\"line-opacity\"]),\"line-color\":new Ui(Dt.paint_line[\"line-color\"]),\"line-translate\":new ji(Dt.paint_line[\"line-translate\"]),\"line-translate-anchor\":new ji(Dt.paint_line[\"line-translate-anchor\"]),\"line-width\":new Ui(Dt.paint_line[\"line-width\"]),\"line-gap-width\":new Ui(Dt.paint_line[\"line-gap-width\"]),\"line-offset\":new Ui(Dt.paint_line[\"line-offset\"]),\"line-blur\":new Ui(Dt.paint_line[\"line-blur\"]),\"line-dasharray\":new Hi(Dt.paint_line[\"line-dasharray\"]),\"line-pattern\":new Vi(Dt.paint_line[\"line-pattern\"]),\"line-gradient\":new qi(Dt.paint_line[\"line-gradient\"])}),layout:fl},pl=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 Pi(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=f({},r,{zoom:Math.floor(r.zoom)}),t.prototype.evaluate.call(this,e,r,n,i)},e}(Ui),dl=new pl(hl.paint.properties[\"line-width\"].specification);dl.useIntegerZoom=!0;var vl=function(t){function e(e){t.call(this,e,hl)}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=Jo(t,\"lineProgress\"),this.gradientTexture=null},e.prototype.recalculate=function(e,r){t.prototype.recalculate.call(this,e,r),this.paint._values[\"line-floorwidth\"]=dl.possiblyEvaluate(this._transitioningPaint._values[\"line-width\"].value,e)},e.prototype.createBucket=function(t){return new cl(t)},e.prototype.queryRadius=function(t){var e=t,r=gl(Eo(\"line-width\",this,e),Eo(\"line-gap-width\",this,e)),n=Eo(\"line-offset\",this,e);return r/2+Math.abs(n)+Lo(this.paint.get(\"line-translate\"))},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s){var l=Co(t,this.paint.get(\"line-translate\"),this.paint.get(\"line-translate-anchor\"),o.angle,s),u=s/2*gl(this.paint.get(\"line-width\").evaluate(e,r),this.paint.get(\"line-gap-width\").evaluate(e,r)),c=this.paint.get(\"line-offset\").evaluate(e,r);return c&&(n=function(t,e){for(var r=[],n=new a(0,0),i=0;i<t.length;i++){for(var o=t[i],s=[],l=0;l<o.length;l++){var u=o[l-1],c=o[l],f=o[l+1],h=0===l?n:c.sub(u)._unit()._perp(),p=l===o.length-1?n:f.sub(c)._unit()._perp(),d=h._add(p)._unit(),v=d.x*p.x+d.y*p.y;d._mult(1/v),s.push(d._mult(e)._add(c))}r.push(s)}return r}(n,c*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(Mo(t,i[a]))return!0;if(bo(t,i,r))return!0}return!1}(l,n,u)},e.prototype.isTileClipped=function(){return!0},e}(Yi);function gl(t,e){return e>0?e+2*t:t}var 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Yl=3;function Wl(t,e,r){1===t&&r.readMessage(Xl,e)}function Xl(t,e,r){if(3===t){var n=r.readMessage(Jl,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,u=n.top,c=n.advance;e.push({id:i,bitmap:new Yo({width:o+2*Yl,height:s+2*Yl},a),metrics:{width:o,height:s,left:l,top:u,advance:c}})}}function Jl(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 Kl=Yl;function $l(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,u=0,c=t;u<c.length;u+=1)for(var f=c[u],h=o.length-1;h>=0;h--){var p=o[h];if(!(f.w>p.w||f.h>p.h)){if(f.x=p.x,f.y=p.y,l=Math.max(l,f.y+f.h),s=Math.max(s,f.x+f.w),f.w===p.w&&f.h===p.h){var d=o.pop();h<o.length&&(o[h]=d)}else 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t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},ru.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})}},ni(\"ImagePosition\",tu),ni(\"ImageAtlas\",ru);var nu={horizontal:1,vertical:2,horizontalOnly:3},iu=-17;var au=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};au.forText=function(t,e){var r=new au;return r.scale=t||1,r.fontStack=e,r},au.forImage=function(t){var e=new au;return e.imageName=t,e};var ou=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function su(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=ou.fromFeature(t,i);f===nu.vertical&&y.verticalizePunctuation();var m=Ci.processBidirectionalText,x=Ci.processStyledBidirectionalText;if(m&&1===y.sections.length){g=[];for(var b=0,_=m(y.toString(),vu(y,u,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new ou;T.text=w,T.sections=y.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);g.push(T)}}else if(x){g=[];for(var A=0,M=x(y.text,y.sectionIndex,vu(y,u,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new ou;E.text=S[0],E.sectionIndex=S[1],E.sections=y.sections,g.push(E)}}else g=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}(y,vu(y,u,a,e,n,p,d));var L=[],C={positionedLines:L,text:y.toString(),top:c[1],bottom:c[1],left:c[0],right:c[0],writingMode:f,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=0,p=iu,d=0,v=0,g=\"right\"===s?1:\"left\"===s?0:.5,y=0,m=0,x=i;m<x.length;m+=1){var b=x[m];b.trim();var _=b.getMaxScale(),w=(_-1)*kl,T={positionedGlyphs:[],lineOffset:0};t.positionedLines[y]=T;var k=T.positionedGlyphs,A=0;if(b.length()){for(var M=0;M<b.length();M++){var S=b.getSection(M),E=b.getSectionIndex(M),L=b.getCharCode(M),C=0,P=null,O=null,I=null,D=kl,z=!(l===nu.horizontal||!c&&!hi(L)||c&&(lu[L]||di(L)));if(S.imageName){var R=n[S.imageName];if(!R)continue;I=S.imageName,t.iconsInText=t.iconsInText||!0,O=R.paddedRect;var F=R.displaySize;S.scale=S.scale*kl/f,P={width:F[0],height:F[1],left:Ql,top:-Kl,advance:z?F[1]:F[0]},C=w+(kl-F[1]*S.scale),D=P.advance;var B=z?F[0]*S.scale-kl*_:F[1]*S.scale-kl*_;B>0&&B>A&&(A=B)}else{var N=r[S.fontStack],j=N&&N[L];if(j&&j.rect)O=j.rect,P=j.metrics;else{var U=e[S.fontStack],V=U&&U[L];if(!V)continue;P=V.metrics}C=(_-S.scale)*kl}z?(t.verticalizable=!0,k.push({glyph:L,imageName:I,x:h,y:p+C,vertical:z,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:O}),h+=D*S.scale+u):(k.push({glyph:L,imageName:I,x:h,y:p+C,vertical:z,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:O}),h+=P.advance*S.scale+u)}if(0!==k.length){var H=h-u;d=Math.max(H,d),yu(k,0,k.length-1,g,A)}h=0;var q=a*_+A;T.lineOffset=Math.max(A,w),p+=q,v=Math.max(q,v),++y}else p+=a,++y}var G=p-iu,Z=gu(o),Y=Z.horizontalAlign,W=Z.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var u=(e-r)*i,c=0;c=a!==o?-s*n-iu:(-n*l+.5)*o;for(var f=0,h=t;f<h.length;f+=1)for(var p=0,d=h[f].positionedGlyphs;p<d.length;p+=1){var v=d[p];v.x+=u,v.y+=c}})(t.positionedLines,g,Y,W,d,v,a,G,i.length),t.top+=-W*G,t.bottom=t.top+G,t.left+=-Y*d,t.right=t.left+d}(C,e,r,n,g,o,s,l,f,u,h,v),!function(t){for(var e=0,r=t;e<r.length;e+=1)if(0!==r[e].positionedGlyphs.length)return!1;return!0}(L)&&C}ou.fromFeature=function(t,e){for(var r=new ou,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},ou.prototype.length=function(){return this.text.length},ou.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},ou.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},ou.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},ou.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&&pi(n)&&!Tl[t[r+1]]||i&&pi(i)&&!Tl[t[r-1]]||!Tl[t[r]]?e+=t[r]:e+=Tl[t[r]]}return e}(this.text)},ou.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&lu[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&lu[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},ou.prototype.substring=function(t,e){var r=new ou;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},ou.prototype.toString=function(){return this.text},ou.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return Math.max(e,t.sections[r].scale)}),0)},ou.prototype.addTextSection=function(t,e){this.text+=t.text,this.sections.push(au.forText(t.scale,t.fontStack||e));for(var r=this.sections.length-1,n=0;n<t.text.length;++n)this.sectionIndex.push(r)},ou.prototype.addImageSection=function(t){var e=t.image?t.image.name:\"\";if(0!==e.length){var r=this.getNextImageSectionCharCode();r?(this.text+=String.fromCharCode(r),this.sections.push(au.forImage(e)),this.sectionIndex.push(this.sections.length-1)):w(\"Reached maximum number of images 6401\")}else w(\"Can't add FormattedSection with an empty image.\")},ou.prototype.getNextImageSectionCharCode=function(){return this.imageSectionID?this.imageSectionID>=63743?null:++this.imageSectionID:(this.imageSectionID=57344,this.imageSectionID)};var lu={9:!0,10:!0,11:!0,12:!0,13:!0,32:!0},uu={};function cu(t,e,r,n,i,a){if(e.imageName){var o=n[e.imageName];return o?o.displaySize[0]*e.scale*kl/a+i:0}var s=r[e.fontStack],l=s&&s[t];return l?l.metrics.advance*e.scale+i:0}function fu(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 hu(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 pu(t,e,r,n,i,a){for(var o=null,s=fu(e,r,i,a),l=0,u=n;l<u.length;l+=1){var c=u[l],f=fu(e-c.x,r,i,a)+c.badness;f<=s&&(o=c,s=f)}return{index:t,x:e,priorBreak:o,badness:s}}function du(t){return t?du(t.priorBreak).concat(t.index):[]}function vu(t,e,r,n,i,a,o){if(\"point\"!==a)return[];if(!t)return[];for(var s=[],l=function(t,e,r,n,i,a){for(var o=0,s=0;s<t.length();s++){var l=t.getSection(s);o+=cu(t.getCharCode(s),l,n,i,e,a)}return o/Math.max(1,Math.ceil(o/r))}(t,e,r,n,i,o),u=t.text.indexOf(\"​\")>=0,c=0,f=0;f<t.length();f++){var h=t.getSection(f),p=t.getCharCode(f);if(lu[p]||(c+=cu(p,h,n,i,e,o)),f<t.length()-1){var d=!((v=p)<11904||!(ci[\"Bopomofo Extended\"](v)||ci.Bopomofo(v)||ci[\"CJK Compatibility Forms\"](v)||ci[\"CJK Compatibility 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yu(t,e,r,n,i){if(n||i)for(var a=t[r],o=a.metrics.advance*a.scale,s=(t[r].x+o)*n,l=e;l<=r;l++)t[l].x-=s,t[l].y+=i}function mu(t,e,r,n,i,a){var o,s=t.image;if(s.content){var l=s.content,u=s.pixelRatio||1;o=[l[0]/u,l[1]/u,s.displaySize[0]-l[2]/u,s.displaySize[1]-l[3]/u]}var c,f,h,p,d=e.left*a,v=e.right*a;\"width\"===r||\"both\"===r?(p=i[0]+d-n[3],f=i[0]+v+n[1]):f=(p=i[0]+(d+v-s.displaySize[0])/2)+s.displaySize[0];var g=e.top*a,y=e.bottom*a;return\"height\"===r||\"both\"===r?(c=i[1]+g-n[0],h=i[1]+y+n[2]):h=(c=i[1]+(g+y-s.displaySize[1])/2)+s.displaySize[1],{image:s,top:c,right:f,bottom:h,left:p,collisionPadding:o}}uu[10]=!0,uu[32]=!0,uu[38]=!0,uu[40]=!0,uu[41]=!0,uu[43]=!0,uu[45]=!0,uu[47]=!0,uu[173]=!0,uu[183]=!0,uu[8203]=!0,uu[8208]=!0,uu[8211]=!0,uu[8231]=!0;var xu=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 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Oa,this.collisionVertexArray=new ca};oc.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,xl.members,!0)},oc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},ni(\"CollisionBuffers\",oc);var sc=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,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=Do([]),this.placementViewportMatrix=Do([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=_u(this.zoom,e[\"text-size\"]),this.iconSizeData=_u(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\")),\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return nu[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};sc.prototype.createArrays=function(){this.text=new ac(new so(yl.members,this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new ac(new so(yl.members,this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new Sa,this.lineVertexArray=new Ea,this.symbolInstances=new Ma},sc.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=Tl[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},sc.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get(\"text-font\"),o=i.get(\"text-field\"),s=i.get(\"icon-image\"),l=(\"constant\"!==o.value.kind||o.value.value instanceof ue&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),u=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,c=i.get(\"symbol-sort-key\");if(this.features=[],l||u){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new Pi(this.zoom),v=0,g=t;v<g.length;v+=1){var y=g[v],m=y.feature,x=y.id,b=y.index,_=y.sourceLayerIndex,w=n._featureFilter.needGeometry,T={type:m.type,id:x,properties:m.properties,geometry:w?po(m):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=po(m));var k=void 0;if(l){var A=n.getValueAndResolveTokens(\"text-field\",T,r,p),M=ue.factory(A);ic(M)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===Ei()||this.hasRTLText&&Ci.isParsed())&&(k=wl(M,n,T))}var S=void 0;if(u){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof ce?E:ce.fromString(E)}if(k||S){var L=this.sortFeaturesByKey?c.evaluate(T,{},r):void 0,C={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:po(m),properties:m.properties,type:tc[m.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var P=a.evaluate(T,{},r).join(\",\"),O=\"map\"===i.get(\"text-rotation-alignment\")&&\"point\"!==i.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(nu.vertical)>=0;for(var I=0,D=k.sections;I<D.length;I+=1){var z=D[I];if(z.image)f[z.image.name]=!0;else{var R=fi(k.toString()),F=z.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(z.text,B,O,this.allowVerticalPlacement,R)}}}}}}\"line\"===i.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 u=0;u<t.length;u++){var c=t[u],f=c.geometry,h=c.text?c.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var v=s(p,d,f),g=o(p,d,n[v].geometry);delete e[p],delete r[d],r[l(h,n[g].geometry,!0)]=g,n[v].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(u),e[p]=i-1,r[d]=i-1)}else a(u)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},sc.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))},sc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},sc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},sc.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.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},sc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},sc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},sc.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 u=a[l];this.lineVertexArray.emplaceBack(u.x,u.y,u.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},sc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,a.sortKey),v=this.glyphOffsetArray.length,g=d.vertexLength,y=this.allowVerticalPlacement&&o===nu.vertical?Math.PI/2:0,m=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,A=b.tex,M=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,L=b.minFontScaleY,C=b.glyphOffset,P=b.isSDF,O=b.sectionIndex,I=d.vertexLength,D=C[1];rc(p,s.x,s.y,_.x,D+_.y,A.x,A.y,r,P,M.x,M.y,E,L),rc(p,s.x,s.y,w.x,D+w.y,A.x+A.w,A.y,r,P,S.x,M.y,E,L),rc(p,s.x,s.y,T.x,D+T.y,A.x,A.y+A.h,r,P,M.x,S.y,E,L),rc(p,s.x,s.y,k.x,D+k.y,A.x+A.w,A.y+A.h,r,P,S.x,S.y,E,L),nc(t.dynamicLayoutVertexArray,s,y),h.emplaceBack(I,I+1,I+2),h.emplaceBack(I+1,I+2,I+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&O===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,m&&m[O])}t.placedSymbolArray.emplaceBack(s.x,s.y,v,this.glyphOffsetArray.length-v,g,l,u,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,c)},sc.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))},sc.prototype.addCollisionDebugVertices=function(t,e,r,n,i,o,s){var l=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),u=l.vertexLength,c=i.layoutVertexArray,f=i.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(c,f,o,h,p,new a(t,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,n)),this._addCollisionDebugVertex(c,f,o,h,p,new a(t,n)),l.vertexLength+=4;var d=i.indexArray;d.emplaceBack(u,u+1),d.emplaceBack(u+1,u+2),d.emplaceBack(u+2,u+3),d.emplaceBack(u+3,u),l.primitiveLength+=4},sc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,u=a.y2;this.addCollisionDebugVertices(o,s,l,u,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},sc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new oc(la,bl.members,ya),this.iconCollisionBox=new oc(la,bl.members,ya);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},sc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var u={},c=e;c<r;c++){var f=t.get(c);u.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},u.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);u.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},u.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var v=t.get(d);u.iconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},u.iconFeatureIndex=v.featureIndex;break}for(var g=s;g<l;g++){var y=t.get(g);u.verticalIconBox={x1:y.x1,y1:y.y1,x2:y.x2,y2:y.y2,anchorPointX:y.anchorPointX,anchorPointY:y.anchorPointY},u.verticalIconFeatureIndex=y.featureIndex;break}return u},sc.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.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},sc.prototype.hasTextData=function(){return this.text.segments.get().length>0},sc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},sc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},sc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},sc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},sc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},sc.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},sc.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},sc.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.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},ni(\"SymbolBucket\",sc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),sc.MAX_GLYPHS=65535,sc.addDynamicAttributes=nc;var lc=new Gi({\"symbol-placement\":new ji(Dt.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new ji(Dt.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new ji(Dt.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Ui(Dt.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new ji(Dt.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new ji(Dt.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new ji(Dt.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new ji(Dt.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new ji(Dt.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Ui(Dt.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new ji(Dt.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new ji(Dt.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Ui(Dt.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Ui(Dt.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new ji(Dt.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new ji(Dt.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Ui(Dt.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Ui(Dt.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new ji(Dt.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new ji(Dt.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new ji(Dt.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Ui(Dt.layout_symbol[\"text-field\"]),\"text-font\":new Ui(Dt.layout_symbol[\"text-font\"]),\"text-size\":new Ui(Dt.layout_symbol[\"text-size\"]),\"text-max-width\":new Ui(Dt.layout_symbol[\"text-max-width\"]),\"text-line-height\":new ji(Dt.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Ui(Dt.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Ui(Dt.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Ui(Dt.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new ji(Dt.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Ui(Dt.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new ji(Dt.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new ji(Dt.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Ui(Dt.layout_symbol[\"text-rotate\"]),\"text-padding\":new ji(Dt.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new ji(Dt.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Ui(Dt.layout_symbol[\"text-transform\"]),\"text-offset\":new Ui(Dt.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new ji(Dt.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new ji(Dt.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new ji(Dt.layout_symbol[\"text-optional\"])}),uc={paint:new Gi({\"icon-opacity\":new Ui(Dt.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Ui(Dt.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Ui(Dt.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Ui(Dt.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Ui(Dt.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new ji(Dt.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new ji(Dt.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Ui(Dt.paint_symbol[\"text-opacity\"]),\"text-color\":new Ui(Dt.paint_symbol[\"text-color\"],{runtimeType:Zt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Ui(Dt.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Ui(Dt.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Ui(Dt.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new ji(Dt.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new ji(Dt.paint_symbol[\"text-translate-anchor\"])}),layout:lc},cc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Vt,this.defaultValue=t};cc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},cc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},cc.prototype.outputDefined=function(){return!1},cc.prototype.serialize=function(){return null},ni(\"FormatSectionOverride\",cc,{omit:[\"defaultValue\"]});var fc=function(t){function e(e){t.call(this,e,uc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"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\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values[\"text-writing-mode\"]=i}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||sn(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):\"\"}))}(e.properties,i)},e.prototype.createBucket=function(t){return new sc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=uc.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i,a=this.paint.get(n),o=new cc(a),s=new on(o,a.property.specification);i=\"constant\"===a.value.kind||\"source\"===a.value.kind?new un(\"source\",s):new cn(\"composite\",s,a.value.zoomStops,a.value._interpolationType),this.paint._values[n]=new Bi(a.property,i,a.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\"text-field\"),n=uc.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if(\"constant\"===r.value.kind&&r.value.value instanceof ue)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!i)if(t instanceof ve&&pe(t.value)===Jt){var e=t.value;a(e.sections)}else t instanceof xe?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Yi),hc={paint:new Gi({\"background-color\":new ji(Dt.paint_background[\"background-color\"]),\"background-pattern\":new Hi(Dt.paint_background[\"background-pattern\"]),\"background-opacity\":new ji(Dt.paint_background[\"background-opacity\"])})},pc=function(t){function e(e){t.call(this,e,hc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Yi),dc={paint:new Gi({\"raster-opacity\":new ji(Dt.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new ji(Dt.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new ji(Dt.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new ji(Dt.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new ji(Dt.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new ji(Dt.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new ji(Dt.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new ji(Dt.paint_raster[\"raster-fade-duration\"])})},vc=function(t){function e(e){t.call(this,e,dc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Yi);var gc=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}(Yi),yc={circle:Uo,heatmap:Ko,hillshade:Qo,fill:js,\"fill-extrusion\":nl,line:vl,symbol:fc,background:pc,raster:vc};var mc=self.HTMLImageElement,xc=self.HTMLCanvasElement,bc=self.HTMLVideoElement,_c=self.ImageData,wc=self.ImageBitmap,Tc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Tc.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 mc||t instanceof xc||t instanceof bc||t instanceof _c||wc&&t instanceof wc?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},u=l.x,c=l.y;t instanceof mc||t instanceof xc||t instanceof bc||t instanceof _c||wc&&t instanceof wc?s.texSubImage2D(s.TEXTURE_2D,0,u,c,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,u,c,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Tc.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)},Tc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Tc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var kc=function(t){var e=this;this._callback=t,this._triggered=!1,\"undefined\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};kc.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},kc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Ac=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},g([\"receive\",\"process\"],this),this.invoker=new kc(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=A()?t:self};function Mc(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]}Ac.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=E(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:si(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},Ac.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else A()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Ac.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},Ac.prototype.processTask=function(t,e){var r=this;if(\"<response>\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(li(e.error)):n(null,li(e.data)))}else{var i=!1,a=E(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"<response>\",sourceMapId:r.mapId,error:e?si(e):null,data:si(n,a)},a)}:function(t){i=!0},s=null,l=li(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var u=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,u[0],l.source)[u[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Ac.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Sc=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]))};Sc.prototype.setNorthEast=function(t){return this._ne=t instanceof Lc?new Lc(t.lng,t.lat):Lc.convert(t),this},Sc.prototype.setSouthWest=function(t){return this._sw=t instanceof Lc?new Lc(t.lng,t.lat):Lc.convert(t),this},Sc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Lc)e=t,r=t;else{if(!(t instanceof Sc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Sc.convert(a))}var o=t;return this.extend(Lc.convert(o))}return 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 Lc(e.lng,e.lat),this._ne=new Lc(r.lng,r.lat)),this},Sc.prototype.getCenter=function(){return new Lc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Sc.prototype.getSouthWest=function(){return this._sw},Sc.prototype.getNorthEast=function(){return this._ne},Sc.prototype.getNorthWest=function(){return new Lc(this.getWest(),this.getNorth())},Sc.prototype.getSouthEast=function(){return new Lc(this.getEast(),this.getSouth())},Sc.prototype.getWest=function(){return this._sw.lng},Sc.prototype.getSouth=function(){return this._sw.lat},Sc.prototype.getEast=function(){return this._ne.lng},Sc.prototype.getNorth=function(){return this._ne.lat},Sc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Sc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Sc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Sc.prototype.contains=function(t){var e=Lc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Sc.convert=function(t){return!t||t instanceof Sc?t:new Sc(t)};var Ec=6371008.8,Lc=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\")};Lc.prototype.wrap=function(){return new Lc(c(this.lng,-180,180),this.lat)},Lc.prototype.toArray=function(){return[this.lng,this.lat]},Lc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Lc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return Ec*Math.acos(Math.min(i,1))},Lc.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 Sc(new Lc(this.lng-r,this.lat-e),new Lc(this.lng+r,this.lat+e))},Lc.convert=function(t){if(t instanceof Lc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Lc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Lc(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 Cc=2*Math.PI*Ec;function Pc(t){return Cc*Math.cos(t*Math.PI/180)}function Oc(t){return(180+t)/360}function Ic(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Dc(t,e){return t/Pc(e)}function zc(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Rc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Rc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Lc.convert(t);return new Rc(Oc(r.lng),Ic(r.lat),Dc(e,r.lat))},Rc.prototype.toLngLat=function(){return new Lc(360*this.x-180,zc(this.y))},Rc.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Pc(zc(e));var t,e},Rc.prototype.meterInMercatorCoordinateUnits=function(){return 1/Cc*(t=zc(this.y),1/Math.cos(t*Math.PI/180));var t};var Fc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=jc(0,t,t,e,r)};Fc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Fc.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Mc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Mc(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)},Fc.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a((t.x*e-this.x)*co,(t.y*e-this.y)*co)},Fc.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var Bc=function(t,e){this.wrap=t,this.canonical=e,this.key=jc(t,e.z,e.z,e.x,e.y)},Nc=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new Fc(r,+n,+i),this.key=jc(e,t,r,n,i)};function jc(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}Nc.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Nc.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Nc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Nc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Nc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?jc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):jc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Nc.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},Nc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Nc(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 Nc(e,this.wrap,e,r,n),new Nc(e,this.wrap,e,r+1,n),new Nc(e,this.wrap,e,r,n+1),new Nc(e,this.wrap,e,r+1,n+1)]},Nc.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))},Nc.prototype.wrapped=function(){return new Nc(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Nc.prototype.unwrapTo=function(t){return new Nc(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Nc.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Nc.prototype.toUnwrapped=function(){return new Bc(this.wrap,this.canonical)},Nc.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},Nc.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Rc(t.x-this.wrap,t.y))},ni(\"CanonicalTileID\",Fc),ni(\"OverscaledTileID\",Nc,{omit:[\"posMatrix\"]});var Uc=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\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\"mapbox\";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};Uc.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return(\"terrarium\"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},Uc.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Uc.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)},Uc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Uc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Uc.prototype.getPixels=function(){return new Wo({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Uc.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,u=a;u<o;u++)for(var c=n;c<i;c++)this.data[this._idx(c,u)]=t.data[this._idx(c+s,u+l)]},ni(\"DEMData\",Uc);var Vc=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}};Vc.prototype.encode=function(t){return this._stringToNumber[t]},Vc.prototype.decode=function(t){return this._numberToString[t]};var Hc=function(t,e,r,n,i){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},qc={geometry:{configurable:!0}};qc.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},qc.geometry.set=function(t){this._geometry=t},Hc.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(Hc.prototype,qc);var Gc=function(){this.state={},this.stateChanges={},this.deletedStates={}};Gc.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]||{},f(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]},Gc.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)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e)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}},Gc.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=f({},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},Gc.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},Gc.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]={}),f(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 u in this.deletedStates[o]){if(null===this.deletedStates[o][u])this.state[o][u]={};else for(var c=0,h=Object.keys(this.deletedStates[o][u]);c<h.length;c+=1){var p=h[c];delete this.state[o][u][p]}s[u]=this.state[o][u]}r[o]=r[o]||{},f(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t)t[d].setFeatureState(r,e)};var Zc=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new Kn(co,16,0),this.grid3D=new Kn(co,16,0),this.featureIndexArray=new Ca,this.promoteId=e};function Yc(t,e,r,n,i){return m(t,(function(t,a){var o=e instanceof Ni?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function Wc(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 Xc(t,e){return e-t}Zc.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 u=e[l],c=[1/0,1/0,-1/0,-1/0],f=0;f<u.length;f++){var h=u[f];c[0]=Math.min(c[0],h.x),c[1]=Math.min(c[1],h.y),c[2]=Math.max(c[2],h.x),c[3]=Math.max(c[3],h.y)}c[0]<co&&c[1]<co&&c[2]>=0&&c[3]>=0&&s.insert(o,c[0],c[1],c[2],c[3])}},Zc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Js.VectorTile(new Sl(this.rawTileData)).layers,this.sourceLayerCoder=new Vc(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Zc.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=co/t.tileSize/t.scale,l=wn(o.filter),u=t.queryGeometry,c=t.queryPadding*s,f=Wc(u),h=this.grid.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c),p=Wc(t.cameraQueryGeometry),d=0,v=this.grid3D.query(p.minX-c,p.minY-c,p.maxX+c,p.maxY+c,(function(e,r,n,i){return function(t,e,r,n,i){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&&i>=l.y)return!0}var u=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var c=0,f=u;c<f.length;c+=1)if(Mo(t,f[c]))return!0;for(var h=0;h<t.length-1;h++)if(So(t[h],t[h+1],u))return!0;return!1}(t.cameraQueryGeometry,e-c,r-c,n+c,i+c)}));d<v.length;d+=1){var g=v[d];h.push(g)}h.sort(Xc);for(var y,m={},x=function(a){var c=h[a];if(c!==y){y=c;var f=i.featureIndexArray.get(c),p=null;i.loadMatchingFeature(m,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=po(e)),r.queryIntersectsFeature(u,e,n,p,i.z,t.transform,s,t.pixelPosMatrix)}))}},b=0;b<h.length;b++)x(b);return m},Zc.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,u,c){var f=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,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new Pi(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),v=0;v<f.length;v++){var g=f[v];if(!(a&&a.indexOf(g)<0)){var y=s[g];if(y){var m={};void 0!==d&&u&&(m=u.getState(y.sourceLayer||\"_geojsonTileLayer\",d));var x=l[g];x.paint=Yc(x.paint,y.paint,p,m,o),x.layout=Yc(x.layout,y.layout,p,m,o);var b=!c||c(p,y,m);if(b){var _=new Hc(p,this.z,this.x,this.y,d);_.layer=x;var w=t[g];void 0===w&&(w=t[g]=[]),w.push({featureIndex:n,feature:_,intersectionZ:b})}}}}}},Zc.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var u=wn(i),c=0,f=t;c<f.length;c+=1){var h=f[c];this.loadMatchingFeature(l,r,n,h,u,a,o,s,e)}return l},Zc.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},Zc.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n=\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e];\"boolean\"==typeof(r=t.properties[n])&&(r=Number(r))}return r},ni(\"FeatureIndex\",Zc,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var Jc=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.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};Jc.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<F.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},Jc.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},Jc.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 sc){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof sc&&o.hasRTLText){this.hasRTLText=!0,Ci.isLoading()||Ci.isLoaded()||\"deferred\"!==Ei()||Li();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new wa},Jc.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\"},Jc.prototype.getBucket=function(t){return this.buckets[t.id]},Jc.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 Tc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Tc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},Jc.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},Jc.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,u){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:u,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},Jc.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:\"\",a=n._geojsonTileLayer||n[i];if(a)for(var o=wn(e&&e.filter),s=this.tileID.canonical,l=s.z,u=s.x,c=s.y,f={z:l,x:u,y:c},h=0;h<a.length;h++){var p=a.feature(h);if(o.filter(new Pi(this.tileID.overscaledZ),p)){var d=r.getId(p,i),v=new Hc(p,l,u,c,d);v.tile=f,t.push(v)}}}},Jc.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},Jc.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},Jc.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=M(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}},Jc.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)},Jc.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)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},Jc.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},Jc.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<F.now()},Jc.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},Jc.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=F.now()+t},Jc.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1)r[i[n]]=!0;this.dependencies[t]=r},Jc.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1)if(a[s[o]])return!0}return!1};var Kc=self.performance,$c=function(t){this._marks={start:[t.url,\"start\"].join(\"#\"),end:[t.url,\"end\"].join(\"#\"),measure:t.url.toString()},Kc.mark(this._marks.start)};$c.prototype.finish=function(){Kc.mark(this._marks.end);var t=Kc.getEntriesByName(this._marks.measure);return 0===t.length&&(Kc.measure(this._marks.measure,this._marks.start,this._marks.end),t=Kc.getEntriesByName(this._marks.measure),Kc.clearMarks(this._marks.start),Kc.clearMarks(this._marks.end),Kc.clearMeasures(this._marks.measure)),t},t.Actor=Ac,t.AlphaImage=Yo,t.CanonicalTileID=Fc,t.CollisionBoxArray=wa,t.Color=oe,t.DEMData=Uc,t.DataConstantProperty=ji,t.DictionaryCoder=Vc,t.EXTENT=co,t.ErrorEvent=Ot,t.EvaluationParameters=Pi,t.Event=Pt,t.Evented=It,t.FeatureIndex=Zc,t.FillBucket=Fs,t.FillExtrusionBucket=tl,t.ImageAtlas=ru,t.ImagePosition=tu,t.LineBucket=cl,t.LngLat=Lc,t.LngLatBounds=Sc,t.MercatorCoordinate=Rc,t.ONE_EM=kl,t.OverscaledTileID=Nc,t.Point=a,t.Point$1=a,t.Properties=Gi,t.Protobuf=Sl,t.RGBAImage=Wo,t.RequestManager=q,t.RequestPerformance=$c,t.ResourceType=xt,t.SegmentVector=Oa,t.SourceFeatureState=Gc,t.StructArrayLayout1ui2=ma,t.StructArrayLayout2f1f2i16=ua,t.StructArrayLayout2i4=Qi,t.StructArrayLayout3ui6=fa,t.StructArrayLayout4i8=ta,t.SymbolBucket=sc,t.Texture=Tc,t.Tile=Jc,t.Transitionable=Di,t.Uniform1f=Ya,t.Uniform1i=Za,t.Uniform2f=Wa,t.Uniform3f=Xa,t.Uniform4f=Ja,t.UniformColor=Ka,t.UniformMatrix4f=Qa,t.UnwrappedTileID=Bc,t.ValidationError=zt,t.WritingMode=nu,t.ZoomHistory=ui,t.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},t.addDynamicAttributes=nc,t.asyncAll=function(t,e,r){if(!t.length)return r(null,[]);var n=t.length,i=new Array(t.length),a=null;t.forEach((function(t,o){e(t,(function(t,e){t&&(a=t),i[o]=e,0==--n&&r(a,i)}))}))},t.bezier=s,t.bindAll=g,t.browser=F,t.cacheEntryPossiblyAdded=function(t){++yt>ct&&(t.getActor().send(\"enforceCacheSizeLimit\",ut),yt=0)},t.clamp=u,t.clearTileCache=function(t){var e=self.caches.delete(lt);t&&e.catch(t).then((function(){return t()}))},t.clipLine=Ou,t.clone=function(t){var e=new Io(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},t.clone$1=b,t.clone$2=function(t){var e=new Io(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=_l,t.config=B,t.create=function(){var t=new Io(16);return Io!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},t.create$1=function(){var t=new Io(9);return Io!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},t.create$2=function(){var t=new Io(4);return Io!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=ln,t.createLayout=Ki,t.createStyleLayer=function(t){return\"custom\"===t.type?new gc(t):new yc[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n<e.length;n++)if(!t(e[n],r[n]))return!1;return!0}if(\"object\"==typeof e&&null!==e&&null!==r){if(\"object\"!=typeof r)return!1;if(Object.keys(e).length!==Object.keys(r).length)return!1;for(var i in e)if(!t(e[i],r[i]))return!1;return!0}return e===r},t.dot=function(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]},t.dot$1=function(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]+t[3]*e[3]},t.ease=l,t.emitValidationErrors=Jn,t.endsWith=y,t.enforceCacheSizeLimit=function(t){ht(),tt&&tt.then((function(e){e.keys().then((function(r){for(var n=0;n<r.length-t;n++)e.delete(r[n])}))}))},t.evaluateSizeForFeature=wu,t.evaluateSizeForZoom=Tu,t.evaluateVariableOffset=Yu,t.evented=Si,t.extend=f,t.featureFilter=wn,t.filterObject=x,t.fromRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=r,t[2]=0,t[3]=-r,t[4]=n,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},t.getAnchorAlignment=gu,t.getAnchorJustification=Wu,t.getArrayBuffer=kt,t.getImage=Et,t.getJSON=function(t,e){return Tt(f(t,{type:\"json\"}),e)},t.getRTLTextPluginStatus=Ei,t.getReferrer=_t,t.getVideo=function(t,e){var r,n,i=self.document.createElement(\"video\");i.muted=!0,i.onloadstart=function(){e(null,i)};for(var a=0;a<t.length;a++){var 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c={},e.tags)c[f]=e.tags[f];c.mapbox_clip_start=i.start/i.size,c.mapbox_clip_end=i.end/i.size}var h={geometry:o,type:\"Polygon\"===a||\"MultiPolygon\"===a?3:\"LineString\"===a||\"MultiLineString\"===a?2:1,tags:c};null!==e.id&&(h.id=e.id),t.features.push(h)}}function wt(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 Tt(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++)rt(r,t.features[n],e,n);else\"Feature\"===t.type?rt(r,t,e):rt(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=lt(t,1,-1-r,r,0,-1,2,e),a=lt(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=lt(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=gt(i,1).concat(n)),a&&(n=n.concat(gt(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 kt(t,e,r){return 32*((1<<t)*r+e)+t}function At(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 g(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}V.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(q(t[l],l));this.trees[i+1]=new j(s,J,K,a,Float32Array),r&&console.timeEnd(o);for(var u=i;u>=n;u--){var c=+Date.now();s=this._cluster(s,u),this.trees[u]=new j(s,J,K,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",u,s.length,+Date.now()-c)}return r&&console.timeEnd(\"total time\"),this},V.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)],u=[],c=0,f=l.range(Y(r),W(a),Y(i),W(n));c<f.length;c+=1){var h=f[c],p=l.points[h];u.push(p.numPoints?G(p):this.points[p.index])}return u},V.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),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,u=i.within(a.x,a.y,o);l<u.length;l+=1){var c=u[l],f=i.points[c];f.parentId===t&&s.push(f.numPoints?G(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},V.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},V.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,u=(r+1+s)/i,c={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,u),n.points,e,r,i,c),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,u),n.points,i,r,i,c),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,u),n.points,-1,r,i,c),c.features.length?c:null},V.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},V.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},V.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]],u=l.numPoints,c={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:u?Z(l):this.points[l.index].properties},f=void 0;u?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(c.id=f),a.features.push(c)}},V.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},V.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 u=t[l];if(!(u.zoom<=e)){u.zoom=e;for(var c=this.trees[e+1],f=c.within(u.x,u.y,s),h=u.numPoints||1,p=u.x*h,d=u.y*h,v=o&&h>1?this._map(u,!0):null,g=(l<<5)+(e+1)+this.points.length,y=0,m=f;y<m.length;y+=1){var x=m[y],b=c.points[x];if(!(b.zoom<=e)){b.zoom=e;var _=b.numPoints||1;p+=b.x*_,d+=b.y*_,h+=_,b.parentId=g,o&&(v||(v=this._map(u,!0)),o(v,this._map(b)))}}1===h?r.push(u):(u.parentId=g,r.push(H(p/h,d/h,g,h,v)))}}return r},V.prototype._getOriginId=function(t){return t-this.points.length>>5},V.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},V.prototype._map=function(t,e){if(t.numPoints)return e?X({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?X({},n):n},Tt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Tt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,u=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var c=1<<e,f=kt(e,r,n),h=this.tiles[f];if(!h&&(u>1&&console.time(\"creation\"),h=this.tiles[f]=bt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),u)){u>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.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||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){u>1&&console.time(\"clipping\");var v,g,y,m,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;v=g=y=m=null,x=lt(t,c,r-_,r+T,0,h.minX,h.maxX,l),b=lt(t,c,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(v=lt(x,c,n-_,n+T,1,h.minY,h.maxY,l),g=lt(x,c,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(y=lt(b,c,n-_,n+T,1,h.minY,h.maxY,l),m=lt(b,c,n+w,n+k,1,h.minY,h.maxY,l),b=null),u>1&&console.timeEnd(\"clipping\"),s.push(v||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(y||[],e+1,2*r+1,2*n),s.push(m||[],e+1,2*r+1,2*n+1)}}},Tt.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=kt(t,e=(e%o+o)%o,r);if(this.tiles[s])return mt(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,u=t,c=e,f=r;!l&&u>0;)u--,c=Math.floor(c/2),f=Math.floor(f/2),l=this.tiles[kt(u,c,f)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",u,c,f),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,u,c,f,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?mt(this.tiles[s],i):null):null};var Mt=function(e){function r(t,r,n,i){e.call(this,t,r,n,At),i&&(this.loadGeoJSON=i)}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 t.RequestPerformance(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.\"));f(o,!0);try{e._geoJSONIndex=n.cluster?new V(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),u=0,c=l;u<c.length;u+=1){var f=c[u],h=n[f],p=h[0],d=h[1],v=t.createExpression(d),g=t.createExpression(\"string\"==typeof p?[p,[\"accumulated\"],[\"get\",f]]:p);i[f]=v.value,a[f]=g.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):function(t,e){return new Tt(t,e)}(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){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},r}(l);var St=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:Mt},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.isParsed())throw new Error(\"RTL text plugin already registered.\");t.plugin.applyArabicShaping=e.applyArabicShaping,t.plugin.processBidirectionalText=e.processBidirectionalText,t.plugin.processStyledBidirectionalText=e.processStyledBidirectionalText}};return St.prototype.setReferrer=function(t,e){this.referrer=e},St.prototype.setImages=function(t,e,r){for(var n in this.availableImages[t]=e,this.workerSources[t]){var i=this.workerSources[t][n];for(var a in i)i[a].availableImages=e}r()},St.prototype.setLayers=function(t,e,r){this.getLayerIndex(t).replace(e),r()},St.prototype.updateLayers=function(t,e,r){this.getLayerIndex(t).update(e.layers,e.removedIds),r()},St.prototype.loadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).loadTile(e,r)},St.prototype.loadDEMTile=function(t,e,r){this.getDEMWorkerSource(t,e.source).loadTile(e,r)},St.prototype.reloadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).reloadTile(e,r)},St.prototype.abortTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).abortTile(e,r)},St.prototype.removeTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).removeTile(e,r)},St.prototype.removeDEMTile=function(t,e){this.getDEMWorkerSource(t,e.source).removeTile(e)},St.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()}},St.prototype.loadWorkerSource=function(t,e,r){try{this.self.importScripts(e.url),r()}catch(t){r(t.toString())}},St.prototype.syncRTLPluginState=function(e,r,n){try{t.plugin.setState(r);var i=t.plugin.getPluginURL();if(t.plugin.isLoaded()&&!t.plugin.isParsed()&&null!=i){this.self.importScripts(i);var a=t.plugin.isParsed();n(a?void 0:new Error(\"RTL Text Plugin failed to import scripts from \"+i),a)}}catch(t){n(t.toString())}},St.prototype.getAvailableImages=function(t){var e=this.availableImages[t];return e||(e=[]),e},St.prototype.getLayerIndex=function(t){var e=this.layerIndexes[t];return e||(e=this.layerIndexes[t]=new n),e},St.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),this.getAvailableImages(t))}return this.workerSources[t][e][r]},St.prototype.getDEMWorkerSource=function(t,e){return this.demWorkerSources[t]||(this.demWorkerSources[t]={}),this.demWorkerSources[t][e]||(this.demWorkerSources[t][e]=new c),this.demWorkerSources[t][e]},St.prototype.enforceCacheSizeLimit=function(e,r){t.enforceCacheSizeLimit(r)},\"undefined\"!=typeof WorkerGlobalScope&&void 0!==t.window&&t.window instanceof WorkerGlobalScope&&(t.window.worker=new St(t.window)),St})),n(0,(function(t){var e=t.createCommonjsModule((function(t){function e(t){return!r(t)}function r(t){return\"undefined\"!=typeof window&&\"undefined\"!=typeof 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t=document.createElement(\"canvas\");t.width=t.height=1;var e=t.getContext(\"2d\");if(!e)return!1;var r=e.getImageData(0,0,1,1);return r&&r.width===t.width}()?(r=t&&t.failIfMajorPerformanceCaveat,void 0===n[r]&&(n[r]=function(t){var r=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);if(!r)return!1;var n=r.createShader(r.VERTEX_SHADER);return!(!n||r.isContextLost())&&(r.shaderSource(n,\"void main() {}\"),r.compileShader(n),!0===r.getShaderParameter(n,r.COMPILE_STATUS))}(r)),n[r]?void 0:\"insufficient WebGL support\"):\"insufficient Canvas/getImageData support\":\"insufficient ArrayBuffer support\":\"insufficient 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s=i([\"transform\",\"WebkitTransform\"]);r.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var u=Object.defineProperty({},\"passive\",{get:function(){l=!0}});t.window.addEventListener(\"test\",u,u),t.window.removeEventListener(\"test\",u,u)}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 c=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener(\"click\",c,!0)};function f(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\",c,!0),t.window.setTimeout((function(){t.window.removeEventListener(\"click\",c,!0)}),0)},r.mousePos=function(e,r){var n=e.getBoundingClientRect();return new 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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._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchX\" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchY\" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"content\" value'))),n=!1),n},r.prototype._validateStretch=function(t,e){if(!t)return!0;for(var r=0,n=0,i=t;n<i.length;n+=1){var 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s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,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,u=l.x+1,c=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:u,y:c-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:u-1,y:c},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u+h,y:c},{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];f(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=g,d=g,v=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 y(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]=-v,n[1]=+v;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]=+v}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?v:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?v:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(y(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),y(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},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.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:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1)(0,o[i])(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,u=o.glyph;(n[s]||(n[s]={}))[l]=u&&{id:u.id,bitmap:u.bitmap.clone(),metrics:u.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(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 x.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}}}},x.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)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.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 _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=\"-transition\",T=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),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,w)?this._transitionable.setTransition(n.slice(0,-11),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),k=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};k.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},k.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var u=t[l];i=s*r,a=(s+=u)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===u})}return n},k.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=void 0,d=i/r*(n+1);if(l.isDash){var v=n-Math.abs(d);p=Math.sqrt(h*h+v*v)}else p=n-Math.sqrt(h*h+d*d);this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=l.isDash?h:-h;this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.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];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var u={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,u},k.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.ALPHA,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.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var A=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 M(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),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)}))}A.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},A.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},A.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},A.Actor=t.Actor;var S=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};S.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]},S.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 E=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,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),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._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},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)),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,promoteId:this.promoteId};function a(n,i){return delete e.request,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,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=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({type:\"raster\"},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._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(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.loaded=function(){return this._loaded},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.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),C=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({type:\"raster-dem\"},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.tileSize);function i(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",s,i.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\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(L),P=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._loaded=!1,this.actor=i.getActor(),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),this.promoteId=n.promoteId;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,generateId:n.generateId||!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.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var 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.actor.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.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var 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,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),O=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=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._loaded=!1,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._loaded=!1,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){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},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 u=i-r,c=a-n,f=Math.max(u,c),h=Math.max(0,Math.floor(-Math.log(f)/Math.LN2)),p=Math.pow(2,h);return new t.CanonicalTileID(h,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,O.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);var D=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;this._loaded=!1;var 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){e._loaded=!0,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.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},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,O.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}(I),z=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._loaded=!0,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,O.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}(I),R={vector:E,raster:L,\"raster-dem\":C,geojson:P,video:D,image:I,canvas:z};function F(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 B(t,e,r,n,i,a){var o=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}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(N);for(var u=[],c=0,f=l;c<f.length;c+=1){var h=f[c];u.push({wrappedTileID:h.tileID.wrapped().key,queryResults:h.tile.queryRenderedFeatures(e,r,t._state,h.queryGeometry,h.cameraQueryGeometry,h.scale,i,a,s,F(t.transform,h.tileID))})}var p=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 u in o)for(var c=o[u],f=l[u]=l[u]||{},h=e[u]=e[u]||[],p=0,d=c;p<d.length;p+=1){var v=d[p];f[v.featureIndex]||(f[v.featureIndex]=!0,h.push(v))}}return e}(u);for(var d in p)p[d].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 p}function N(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 j=function(t,e){this.max=t,this.onRemove=e,this.reset()};j.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},j.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},j.prototype.has=function(t){return t.wrapped().key in this.data},j.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},j.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},j.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},j.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},j.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},j.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},j.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,i=this.data[r];n<i.length;n+=1){var a=i[n];t(a.value)||e.push(a)}for(var o=0,s=e;o<s.length;o+=1){var l=s[o];this.remove(l.value.tileID,l)}};var U=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 e.arrayBuffer};U.prototype.bind=function(){this.context.bindElementBuffer.set(this.buffer)},U.prototype.updateData=function(t){var e=this.context.gl;this.context.unbindVAO(),this.bind(),e.bufferSubData(e.ELEMENT_ARRAY_BUFFER,0,t.arrayBuffer)},U.prototype.destroy=function(){var t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)};var V={Int8:\"BYTE\",Uint8:\"UNSIGNED_BYTE\",Int16:\"SHORT\",Uint16:\"UNSIGNED_SHORT\",Int32:\"INT\",Uint32:\"UNSIGNED_INT\",Float32:\"FLOAT\"},H=function(t,e,r,n){this.length=e.length,this.attributes=r,this.itemSize=e.bytesPerElement,this.dynamicDraw=n,this.context=t;var i=t.gl;this.buffer=i.createBuffer(),t.bindVertexBuffer.set(this.buffer),i.bufferData(i.ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?i.DYNAMIC_DRAW:i.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};H.prototype.bind=function(){this.context.bindVertexBuffer.set(this.buffer)},H.prototype.updateData=function(t){var e=this.context.gl;this.bind(),e.bufferSubData(e.ARRAY_BUFFER,0,t.arrayBuffer)},H.prototype.enableAttributes=function(t,e){for(var r=0;r<this.attributes.length;r++){var n=this.attributes[r],i=e.attributes[n.name];void 0!==i&&t.enableVertexAttribArray(i)}},H.prototype.setVertexAttribPointers=function(t,e,r){for(var n=0;n<this.attributes.length;n++){var i=this.attributes[n],a=e.attributes[i.name];void 0!==a&&t.vertexAttribPointer(a,i.components,t[V[i.type]],!1,this.itemSize,i.offset+this.itemSize*(r||0))}},H.prototype.destroy=function(){var t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)};var q=function(t){this.gl=t.gl,this.default=this.getDefault(),this.current=this.default,this.dirty=!1};q.prototype.get=function(){return this.current},q.prototype.set=function(t){},q.prototype.getDefault=function(){return this.default},q.prototype.setDefault=function(){this.set(this.default)};var G=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getDefault=function(){return t.Color.transparent},r.prototype.set=function(t){var e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.clearColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)},r}(q),Z=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.getDefault=function(){return 1},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearDepth(t),this.current=t,this.dirty=!1)},e}(q),Y=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.getDefault=function(){return 0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearStencil(t),this.current=t,this.dirty=!1)},e}(q),W=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.getDefault=function(){return[!0,!0,!0,!0]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.colorMask(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)},e}(q),X=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.getDefault=function(){return!0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.depthMask(t),this.current=t,this.dirty=!1)},e}(q),J=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.getDefault=function(){return 255},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.stencilMask(t),this.current=t,this.dirty=!1)},e}(q),K=function(t){function e(){t.apply(this,arguments)}return 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t=this.gl;return[t.ONE,t.ZERO]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||this.dirty)&&(this.gl.blendFunc(t[0],t[1]),this.current=t,this.dirty=!1)},e}(q),at=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getDefault=function(){return t.Color.transparent},r.prototype.set=function(t){var e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.blendColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)},r}(q),ot=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.getDefault=function(){return this.gl.FUNC_ADD},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.blendEquation(t),this.current=t,this.dirty=!1)},e}(q),st=function(t){function e(){t.apply(this,arguments)}return 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e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.viewport(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)},e}(q),pt=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.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindFramebuffer(e.FRAMEBUFFER,t),this.current=t,this.dirty=!1}},e}(q),dt=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.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindRenderbuffer(e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(q),vt=function(t){function e(){t.apply(this,arguments)}return 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e(e){t.call(this,e),this.vao=e.extVertexArrayObject}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){this.vao&&(t!==this.current||this.dirty)&&(this.vao.bindVertexArrayOES(t),this.current=t,this.dirty=!1)},e}(q),xt=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.getDefault=function(){return 4},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_ALIGNMENT,t),this.current=t,this.dirty=!1}},e}(q),bt=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.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_PREMULTIPLY_ALPHA_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),_t=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.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_FLIP_Y_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),wt=function(t){function e(e,r){t.call(this,e),this.context=e,this.parent=r}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e}(q),Tt=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.setDirty=function(){this.dirty=!0},e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}},e}(wt),kt=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.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(wt),At=function(t,e,r,n){this.context=t,this.width=e,this.height=r;var i=t.gl,a=this.framebuffer=i.createFramebuffer();this.colorAttachment=new Tt(t,a),n&&(this.depthAttachment=new kt(t,a))};At.prototype.destroy=function(){var t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r)}t.deleteFramebuffer(this.framebuffer)};var Mt=function(t,e,r){this.func=t,this.mask=e,this.range=r};Mt.ReadOnly=!1,Mt.ReadWrite=!0,Mt.disabled=new Mt(519,Mt.ReadOnly,[0,1]);var St=7680,Et=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Et.disabled=new Et({func:519,mask:0},0,0,St,St,St);var Lt=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};Lt.Replace=[1,0],Lt.disabled=new Lt(Lt.Replace,t.Color.transparent,[!1,!1,!1,!1]),Lt.unblended=new Lt(Lt.Replace,t.Color.transparent,[!0,!0,!0,!0]),Lt.alphaBlended=new Lt([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Ct=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Ct.disabled=new Ct(!1,1029,2305),Ct.backCCW=new Ct(!0,1029,2305);var Pt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new G(this),this.clearDepth=new Z(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new X(this),this.stencilMask=new J(this),this.stencilFunc=new K(this),this.stencilOp=new $(this),this.stencilTest=new Q(this),this.depthRange=new tt(this),this.depthTest=new et(this),this.depthFunc=new rt(this),this.blend=new nt(this),this.blendFunc=new it(this),this.blendColor=new at(this),this.blendEquation=new ot(this),this.cullFace=new st(this),this.cullFaceSide=new lt(this),this.frontFace=new ut(this),this.program=new ct(this),this.activeTexture=new ft(this),this.viewport=new ht(this),this.bindFramebuffer=new pt(this),this.bindRenderbuffer=new dt(this),this.bindTexture=new vt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new yt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new mt(this),this.pixelStoreUnpack=new xt(this),this.pixelStoreUnpackPremultiplyAlpha=new bt(this),this.pixelStoreUnpackFlipY=new _t(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\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\")};Pt.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()},Pt.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},Pt.prototype.createIndexBuffer=function(t,e){return new U(this,t,e)},Pt.prototype.createVertexBuffer=function(t,e,r){return new H(this,t,e,r)},Pt.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},Pt.prototype.createFramebuffer=function(t,e,r){return new At(this,t,e,r)},Pt.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)},Pt.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))},Pt.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)},Pt.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)},Pt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,Lt.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Pt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ot=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=function(e,r,n,i){var a=new R[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}(r,n,i,this),this._tiles={},this._cache=new j(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},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;if(!this._source.loaded())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 t.values(this._tiles).map((function(t){return t.tileID})).sort(It).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=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})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(It).map((function(t){return t.key}))},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._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){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},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=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(Dt(this._source.type)){for(var u={},c={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],v=this._tiles[p];if(v&&!(v.fadeEndTime&&v.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),u[g.tileID.key]=g.tileID),c[p]=d}}for(var y in this._retainLoadedChildren(c,a,s,l),u)l[y]||(this._coveredTiles[y]=!0,l[y]=u[y])}for(var m in l)this._tiles[m].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(_)}this._updateLoadedParentTileCache()}},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,u=t;l<u.length;l+=1){var c=u[l],f=this._addTile(c);n[c.key]=c,f.hasData()||e<this._source.maxzoom&&(s[c.key]=c)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],v=this._tiles[d.key];if(!v.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],y=this.getTile(g);if(y&&y.hasData()){n[g.key]=g;continue}}else{var m=d.children(this._source.maxzoom);if(n[m[0].key]&&n[m[1].key]&&n[m[2].key]&&n[m[3].key])continue}for(var x=v.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(v=this.getTile(_))&&x&&(v=this._addTile(_)),v&&(n[_.key]=_,x=v.wasRequested(),v.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},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()&&\"reloading\"!==e.state?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)})),u=s.map((function(t){return o.pointCoordinate(t)})),c=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,v=0,g=u;v<g.length;v+=1){var y=g[v];f=Math.min(f,y.x),h=Math.min(h,y.y),p=Math.max(p,y.x),d=Math.max(d,y.y)}for(var m=function(e){var n=i._tiles[c[e]];if(!n.holdingForFade()){var s=n.tileID,v=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/v,y=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(y[0].x-g<t.EXTENT&&y[0].y-g<t.EXTENT&&y[1].x+g>=0&&y[1].y+g>=0){var m=l.map((function(t){return s.getTilePoint(t)})),x=u.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:m,cameraQueryGeometry:x,scale:v})}}},x=0;x<c.length;x++)m(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(Dt(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.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\");this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function It(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function Dt(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function zt(){return new t.window.Worker(na.workerUrl)}Ot.maxOverzooming=10,Ot.maxUnderzooming=3;var Rt=\"mapboxgl_preloaded_worker_pool\",Ft=function(){this.active={}};Ft.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Ft.workerCount;)this.workers.push(new zt);return this.active[t]=!0,this.workers.slice()},Ft.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Ft.prototype.isPreloaded=function(){return!!this.active[Rt]},Ft.prototype.numActive=function(){return Object.keys(this.active).length};var Bt,Nt=Math.floor(t.browser.hardwareConcurrency/2);function jt(){return Bt||(Bt=new Ft),Bt}function Ut(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 Vt(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]=Ut(t[n],e[t[n].ref]));return t}Ft.workerCount=Math.max(Math.min(Nt,6),1);var Ht={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 qt(t,e,r){r.push({command:Ht.addSource,args:[t,e[t]]})}function Gt(t,e,r){e.push({command:Ht.removeSource,args:[t]}),r[t]=!0}function Zt(t,e,r,n){Gt(t,r,n),qt(t,e,r)}function Yt(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 Wt(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 Xt(t){return t.id}function Jt(t,e){return t[e.id]=e,t}function Kt(e,r){if(!e)return[{command:Ht.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ht.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ht.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ht.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ht.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ht.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ht.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ht.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ht.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ht.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)||Gt(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&&Yt(e,r,a)?n.push({command:Ht.setGeoJSONSourceData,args:[a,r[a].data]}):Zt(a,r,n,i)):qt(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:Ht.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,u,c,f=(e=e||[]).map(Xt),h=r.map(Xt),p=e.reduce(Jt,{}),d=r.reduce(Jt,{}),v=f.slice(),g=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:Ht.removeLayer,args:[o]}),v.splice(v.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],v[v.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:Ht.removeLayer,args:[o]}),v.splice(v.lastIndexOf(o,v.length-a),1)):a++,u=v[v.length-i],n.push({command:Ht.addLayer,args:[d[o],u]}),v.splice(v.length-i,0,o),g[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!g[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(c in Wt(s.layout,l.layout,n,o,null,Ht.setLayoutProperty),Wt(s.paint,l.paint,n,o,null,Ht.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ht.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ht.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(c)&&\"layout\"!==c&&\"paint\"!==c&&\"filter\"!==c&&\"metadata\"!==c&&\"minzoom\"!==c&&\"maxzoom\"!==c&&(0===c.indexOf(\"paint.\")?Wt(s[c],l[c],n,o,c.slice(6),Ht.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:Ht.setLayerProperty,args:[o,c,l[c]]}));for(c in l)l.hasOwnProperty(c)&&!s.hasOwnProperty(c)&&\"layout\"!==c&&\"paint\"!==c&&\"filter\"!==c&&\"metadata\"!==c&&\"minzoom\"!==c&&\"maxzoom\"!==c&&(0===c.indexOf(\"paint.\")?Wt(s[c],l[c],n,o,c.slice(6),Ht.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:Ht.setLayerProperty,args:[o,c,l[c]]}))}else n.push({command:Ht.removeLayer,args:[o]}),u=v[v.lastIndexOf(o)+1],n.push({command:Ht.addLayer,args:[l,u]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:Ht.setStyle,args:[r]}]}return n}var $t=function(t,e){this.reset(t,e)};$t.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},$t.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Qt=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 te(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 ee(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 re(e,r){var n=[e.x,e.y,0,1];pe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ne(t,e){return.5+t/e*.5}function ie(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 ae(e,r,n,i,a,o,s,l){var u=i?e.textSizeData:e.iconSizeData,c=t.evaluateSizeForZoom(u,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,v=n.transform.width/n.transform.height,g=!1,y=0;y<d.length;y++){var m=d.get(y);if(m.hidden||m.writingMode===t.WritingMode.vertical&&!g)he(m.numGlyphs,h);else{g=!1;var x=[m.anchorX,m.anchorY,0,1];if(t.transformMat4(x,x,r),ie(x,f)){var b=x[3],_=ne(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(u,c,m),T=s?w/_:w*_,k=new t.Point(m.anchorX,m.anchorY),A=re(k,a).point,M={},S=le(m,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&le(m,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v).notEnoughRoom)&&he(m.numGlyphs,h)}else he(m.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function oe(t,e,r,n,i,a,o,s,l,u,c){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),v=e.getoffsetX(f-1),g=ce(t*d,r,n,i,a,o,s.segment,h,p,l,u,c);if(!g)return null;var y=ce(t*v,r,n,i,a,o,s.segment,h,p,l,u,c);return y?{first:g,last:y}:null}function se(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 le(e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=r/24,y=e.lineOffsetX*g,m=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=oe(g,l,y,m,n,f,h,e,u,o,p);if(!w)return{notEnoughRoom:!0};var T=re(w.first.point,s).point,k=re(w.last.point,s).point;if(i&&!n){var A=se(e.writingMode,T,k,d);if(A)return A}v=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)v.push(ce(g*l.getoffsetX(M),y,m,n,f,h,e.segment,b,_,u,o,p));v.push(w.last)}else{if(i&&!n){var S=re(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(u.getx(E),u.gety(E)),C=re(L,a),P=C.signedDistanceFromCamera>0?C.point:ue(h,L,S,1,a),O=se(e.writingMode,S,P,d);if(O)return O}var I=ce(g*l.getoffsetX(e.glyphStartIndex),y,m,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,u,o,p);if(!I)return{notEnoughRoom:!0};v=[I]}for(var D=0,z=v;D<z.length;D+=1){var R=z[D];t.addDynamicAttributes(c,R.point,R.angle)}return{}}function ue(t,e,r,n,i){var a=re(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function ce(e,r,n,i,a,o,s,l,u,c,f,h){var p=i?e-r:e+r,d=p>0?1:-1,v=0;i&&(d*=-1,v=Math.PI),d<0&&(v+=Math.PI);for(var g=d>0?l+s:l+s+1,y=a,m=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)<l||g>=u)return null;if(m=y,w.push(y),void 0===(y=h[g])){var T=new t.Point(c.getx(g),c.gety(g)),k=re(T,f);if(k.signedDistanceFromCamera>0)y=h[g]=k.point;else{var A=g-d;y=ue(0===x?o:new t.Point(c.getx(A),c.gety(A)),T,m,_-x+1,f)}}x+=b,b=m.dist(y)}var M=(_-x)/b,S=y.sub(m),E=S.mult(M)._add(m);E._add(S._unit()._perp()._mult(n*d));var L=v+Math.atan2(y.y-m.y,y.x-m.x);return w.push(E),{point:E,angle:L,path:w}}Qt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Qt.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)},Qt.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)},Qt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Qt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Qt.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 u=this.circles[3*l],c=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:u-f,y1:c-f,x2:u+f,y2:c+f})}return a?o.filter(a):o}var h={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,h,a),i?o.length>0:o},Qt.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 u=[],c={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,u,c,i),n?u.length>0:u},Qt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Qt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Qt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Qt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,u=this.boxCells[i];if(null!==u)for(var c=this.bboxes,f=0,h=u;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=c[d+2]&&e<=c[d+3]&&r>=c[d+0]&&n>=c[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:c[d],y1:c[d+1],x2:c[d+2],y2:c[d+3]})}}}var v=this.circleCells[i];if(null!==v)for(var g=this.circles,y=0,m=v;y<m.length;y+=1){var x=m[y];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(g[b],g[b+1],g[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=g[b],w=g[b+1],T=g[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Qt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,u=o.seenUids,c=this.boxCells[i];if(null!==c)for(var f=this.bboxes,h=0,p=c;h<p.length;h+=1){var d=p[h];if(!u.box[d]){u.box[d]=!0;var v=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[v+0],f[v+1],f[v+2],f[v+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var y=this.circles,m=0,x=g;m<x.length;m+=1){var b=x[m];if(!u.circle[b]){u.circle[b]=!0;var _=3*b;if(this._circlesCollide(y[_],y[_+1],y[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Qt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),u=this._convertToYCellCoord(e),c=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=c;h++)for(var p=u;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Qt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Qt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Qt.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},Qt.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 u=(o-i)/2,c=Math.abs(e-(i+u));if(c>u+r)return!1;if(l<=s||c<=u)return!0;var f=l-s,h=c-u;return f*f+h*h<=r*r};var fe=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function he(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(fe,3*n)}}function pe(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 de=100,ve=function(t,e,r){void 0===e&&(e=new Qt(t.width+200,t.height+200,25)),void 0===r&&(r=new Qt(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+de,this.screenBottomBoundary=t.height+de,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function ge(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}ve.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,u=t.x2*o+a.point.x,c=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,u,c)||!e&&this.grid.hitTest(s,l,u,c,i)?{box:[],offscreen:!1}:{box:[s,l,u,c],offscreen:this.isOffscreen(s,l,u,c)}},ve.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,u,c,f,h,p){var d=[],v=new t.Point(r.anchorX,r.anchorY),g=re(v,o),y=ne(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),m=(c?a/y:a*y)/t.ONE_EM,x=re(v,s).point,b=oe(m,i,r.lineOffsetX*m,r.lineOffsetY*m,!1,x,v,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*y+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new $t,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var O=1;O<L.path.length;O++)C.push(L.path[O]);var I=2.5*k;if(l){var D=C.map((function(t){return re(t,l)}));C=D.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:D.map((function(t){return t.point}))}var z=[];if(C.length>0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B<C.length;B++)R.x=Math.min(R.x,C[B].x),R.y=Math.min(R.y,C[B].y),F.x=Math.max(F.x,C[B].x),F.y=Math.max(F.y,C[B].y);z=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=z;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/I)+1;for(var H=0;H<V;H++){var q=H/Math.max(V-1,1),G=S.lerp(q),Z=G.x+de,Y=G.y+de;d.push(Z,Y,k,0);var W=Z-k,X=Y-k,J=Z+k,K=Y+k;if(T=T&&this.isOffscreen(W,X,J,K),w=w||this.isInsideGrid(W,X,J,K),!e&&this.grid.hitTestCircle(Z,Y,k,f)&&(_=!0,!u))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!u&&_||!w?[]:d,offscreen:T,collisionDetected:_}},ve.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 u=l[s],c=new t.Point(u.x+de,u.y+de);n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y),r.push(c)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var v=d[p],g=v.key;if(void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]={}),!f[g.bucketInstanceId][g.featureIndex]){var y=[new t.Point(v.x1,v.y1),new t.Point(v.x2,v.y1),new t.Point(v.x2,v.y2),new t.Point(v.x1,v.y2)];t.polygonIntersectsPolygon(r,y)&&(f[g.bucketInstanceId][g.featureIndex]=!0,void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]=[]),h[g.bucketInstanceId].push(g.featureIndex))}}return h},ve.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])},ve.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])},ve.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return pe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+de,(-i[1]/i[3]+1)/2*this.transform.height+de),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},ve.prototype.isOffscreen=function(t,e,r,n){return r<de||t>=this.screenRightBoundary||n<de||e>this.screenBottomBoundary},ve.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},ve.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var ye=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};ye.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var me=function(t,e,r,n,i){this.text=new ye(t?t.text:null,e,r,i),this.icon=new ye(t?t.icon:null,e,n,i)};me.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var xe=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},be=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},_e=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},we=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function Te(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point(s+u[0]*a,l+u[1]*a)}function ke(e,r,n,i,a,o){var s=e.x1,l=e.x2,u=e.y1,c=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:u+p.y,x2:l+p.x,y2:c+p.y,anchorPointX:f,anchorPointY:h}}we.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 Ae=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new ve(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new we(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Me(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)}Ae.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,u=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),c=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=ge(n,1,this.transform.zoom),v=te(f,h,p,this.transform,d),g=null;if(h){var y=ee(f,h,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,y)}this.retainedQueryData[a.bucketInstanceId]=new _e(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var m={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:v,labelToScreenMatrix:g,scale:u,textPixelRatio:c,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x],w=_.sortKey,T=_.symbolInstanceStart,k=_.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:m})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:m})}},Ae.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=[f.textOffset0,f.textOffset1],y=Te(t,r,n,g,i),m=this.collisionIndex.placeCollisionBox(ke(e,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate);if(!d||0!==this.collisionIndex.placeCollisionBox(ke(d,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate).box.length)return m.box.length>0?(this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(v=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:v},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:y,placedGlyphBoxes:m}):void 0},Ae.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,u=a.textLabelPlaneMatrix,c=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,v=a.collisionGroup,g=s.get(\"text-optional\"),y=s.get(\"icon-optional\"),m=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=m&&(x||!o.hasIconData()||y),A=x&&(m||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new xe(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,O=null,I=0,D=0,z=0;a.textFeatureIndex?I=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(I=e.featureIndex),a.verticalTextFeatureIndex&&(D=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length&&(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),!(L&&L.box&&L.box.length));i+=1);else L=r()};if(s.get(\"text-variable-anchor\")){var N=s.get(\"text-variable-anchor\");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,u=e.textBoxScale,c=w&&!x?r:null,h={box:[],offscreen:!1},p=m?2*N.length:N.length,d=0;d<p;++d){var g=N[d%N.length],y=d>=N.length,k=i.attemptAnchorPlacement(g,t,a,s,u,b,_,f,l,v,y,e,o,n,c);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var H=i.prevPlacement.variableOffsets[e.crossTileID];H&&(i.variableOffsets[e.crossTileID]=H,i.markUsedJustification(o,H.anchor,e,V))}}else{var q=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,m,f,l,v.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return q(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?q(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Z=t.evaluateSizeForFeature(o.textSizeData,d,G),Y=s.get(\"text-padding\"),W=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(m,G,o.lineVertexArray,o.glyphOffsetArray,Z,l,u,c,n,_,v.predicate,W,Y),T=m||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(z=a.iconFeatureIndex),a.iconBox){var X=function(t){var e=w&&E?ke(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,v.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(O=X(a.verticalIconBox)).box.length>0:(O=X(a.iconBox)).box.length>0,S=S&&O.offscreen}var J=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=y||0===e.numIconVertices;if(J||K?K?J||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&D?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,D,v.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,I,v.ID)),M&&O&&i.collisionIndex.insertCollisionBox(O.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,z,v.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,I,v.ID),n)){var $=o.bucketInstanceId,Q=i.collisionCircleArrays[$];void 0===Q&&(Q=i.collisionCircleArrays[$]=new be);for(var tt=0;tt<P.circles.length;tt+=4)Q.circles.push(P.circles[tt+0]),Q.circles.push(P.circles[tt+1]),Q.circles.push(P.circles[tt+2]),Q.circles.push(P.collisionDetected?1:0)}i.placements[e.crossTileID]=new xe(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C<e.symbolInstanceEnd;C++)M(o.symbolInstances.get(C),o.collisionArrays[C]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},Ae.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var u=l[s];u>=0&&(e.text.placedSymbolArray.get(u).crossTileID=a>=0&&u!==a?0:n.crossTileID)}},Ae.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},Ae.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],u=i[s];u?(this.opacities[s]=new me(u,n,l.text,l.icon),r=r||l.text!==u.text.placed||l.icon!==u.icon.placed):(this.opacities[s]=new me(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var c in i){var f=i[c];if(!this.opacities[c]){var h=new me(f,n,!1,!1);h.isHidden()||(this.opacities[c]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},Ae.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)}},Ae.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new me(null,0,!1,!1,!0),s=a.get(\"text-allow-overlap\"),l=a.get(\"icon-allow-overlap\"),u=a.get(\"text-variable-anchor\"),c=\"map\"===a.get(\"text-rotation-alignment\"),f=\"map\"===a.get(\"text-pitch-alignment\"),h=\"none\"!==a.get(\"icon-text-fit\"),p=new me(null,0,s&&(l||!e.hasIconData()||a.get(\"icon-optional\")),l&&(s||!e.hasTextData()||a.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},v=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,v=a.crossTileID,g=r[v],y=i.opacities[v];g?y=o:y||(y=p,i.opacities[v]=y),r[v]=!0;var m=s>0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(m){var T=De(y.text),k=_?ze:T;d(e.text,s,k);var A=w?ze:T;d(e.text,l,A);var M=y.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\"left\",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=De(y.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:ze;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var O=C?ze:L;d(e.icon,a.numVerticalIconVertices,O),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var I=e.collisionArrays[n];if(I){var D=new t.Point(0,0);if(I.textBox||I.verticalTextBox){var z=!0;if(u){var R=i.variableOffsets[v];R?(D=Te(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),c&&D._rotate(f?i.transform.angle:-i.transform.angle)):z=!1}I.textBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||_,D.x,D.y),I.verticalTextBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||w,D.x,D.y)}var F=Boolean(!w&&I.verticalIconBox);I.iconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,F,h?D.x:0,h?D.y:0),I.verticalIconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,!F,h?D.x:0,h?D.y:0)}}},g=0;g<e.symbolInstances.length;g++)v(g);if(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.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var y=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=y.invProjMatrix,e.placementViewportMatrix=y.viewportMatrix,e.collisionCircleArray=y.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},Ae.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},Ae.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},Ae.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},Ae.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},Ae.prototype.setStale=function(){this.stale=!0};var Se=Math.pow(2,25),Ee=Math.pow(2,24),Le=Math.pow(2,17),Ce=Math.pow(2,16),Pe=Math.pow(2,9),Oe=Math.pow(2,8),Ie=Math.pow(2,1);function De(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*Se+e*Ee+r*Le+e*Ce+r*Pe+e*Oe+r*Ie+e}var ze=0,Re=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Re.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var Fe=function(t,e,r,n,i,a,o){this.placement=new Ae(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};Fe.prototype.isDone=function(){return this._done},Fe.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 Re(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Fe.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Be=512/t.EXTENT/2,Ne=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)})}};Ne.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=Be/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)}},Ne.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,u=o;l<u.length;l+=1){var c=u[l];if(Math.abs(c.coord.x-s.x)<=n&&Math.abs(c.coord.y-s.y)<=n&&!r[c.crossTileID]){r[c.crossTileID]=!0,a.crossTileID=c.crossTileID;break}}}}};var je=function(){this.maxCrossTileID=0};je.prototype.generate=function(){return++this.maxCrossTileID};var Ue=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Ue.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},Ue.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 u=o[t.scaledTo(Number(a)).key];u&&u.findMatches(e.symbolInstances,t,i)}}for(var c=0;c<e.symbolInstances.length;c++){var f=e.symbolInstances.get(c);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Ne(t,e.symbolInstances,e.bucketInstanceId),!0},Ue.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]}},Ue.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 Ve=function(){this.layerIndexes={},this.crossTileIDs=new je,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ve.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Ue);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],u=l.getBucket(t);u&&t.id===u.layerIds[0]&&(u.bucketInstanceId||(u.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,u,this.crossTileIDs)&&(i=!0),a[u.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ve.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 He=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},qe=t.pick(Ht,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ge=t.pick(Ht,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),Ze=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a;null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}}return e}(),Ye=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new A(jt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new k(256,512),this.crossTileSymbolIndex=new Ve,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast(\"syncRTLPluginState\",r,(function(e,r){if(t.triggerPluginCompletionEvent(e),r&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].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.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(Ze,!1)},r.prototype._load=function(e,r){if(!r||!He(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=Vt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new T(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._loadSprite=function(e){var r=this;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,c())})),u=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){u=null,o||(o=t,a=e,c())}));function c(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],u=l.width,c=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,v=l.stretchX,g=l.stretchY,y=l.content,m=new t.RGBAImage({width:u,height:c});t.RGBAImage.copy(e,m,{x:f,y:h},{x:0,y:0},{width:u,height:c}),r[s]={data:m,pixelRatio:d,sdf:p,stretchX:v,stretchY:g,content:y}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),u&&(u.cancel(),u=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},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._updateTilesForChangedImages(),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 u=0,c=this._order;u<c.length;u+=1){var f=c[u],h=this._layers[f];h.recalculate(e,this._availableImages),!h.isHidden(e.zoom)&&h.source&&(this.sourceCaches[h.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}},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={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),He(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=Vt(e.layers);var n=Kt(this.serialize(),e).filter((function(t){return!(t.command in Ge)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in qe)}));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._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,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._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,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 Ot(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(He(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}}),this._serializedLayers[a.id]=a.serialize()}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._serializedLayers[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.hasLayer=function(t){return t in this._layers},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];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,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;\"vector\"!==a||o?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,e.id,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];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);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]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(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 u=l[s][o];if(u)for(var c=0,f=u;c<f.length;c+=1){var h=f[c];i.push(h)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var v=this._order[d];if(r(v))for(var g=i.length-1;g>=0;g--){var y=i[g].feature;if(n[y.layer.id]<d)break;p.push(y),i.pop()}else for(var m=0,x=t;m<x.length;m+=1){var b=x[m][v];if(b)for(var _=0,w=b;_<w.length;_+=1){var T=w[_];p.push(T.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 u=[];for(var c in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[c]||u.push(B(this.sourceCaches[c],this._layers,this._serializedLayers,e,r,n));return this.placement&&u.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),u=[],c=0,f=Object.keys(l).map(Number);c<f.length;c+=1){var h=f[c];u.push(o[h])}u.sort(N);for(var p=function(){var r=v[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],u=n[a];u.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var c=0,f=u;c<f.length;c+=1){var h=f[c];o.push(h)}}},d=0,v=u;d<v.length;d+=1)p();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[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 y in s)g(y);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(u)},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)&&He(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(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers)this._layers[e].setEventedParent(null);for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),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,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},u=0,c=this._order;u<c.length;u+=1){var f=c[u],h=this._layers[f];if(\"symbol\"===h.type){if(!l[h.source]){var p=this.sourceCaches[h.source];l[h.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new Fe(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var v=0,g=this._order;v<g.length;v+=1){var y=g[v],m=this._layers[y];\"symbol\"===m.type&&this.placement.updateLayerOpacities(m,l[m.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),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},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);Ye.getSourceType=function(t){return R[t]},Ye.setSourceType=function(t,e){R[t]=e},Ye.registerForPluginStateChange=t.registerForPluginStateChange;var We=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Xe=_r(\"#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;}\"),Je=_r(\"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);}\"),Ke=_r(\"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);}\"),$e=_r(\"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);}\"),Qe=_r(\"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);}\"),tr=_r(\"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;}\"),er=_r(\"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;}\"),rr=_r(\"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;}\"),nr=_r(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),ir=_r(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),ar=_r(\"#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);}\"),or=_r(\"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;}\"),sr=_r(\"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 vec3 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\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_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\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_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 tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;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;}\"),lr=_r(\"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 vec3 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\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_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\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_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 tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;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);}\"),ur=_r(\"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;}\"),cr=_r(\"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\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_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\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_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 vec3 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\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_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\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_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 tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;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;}\"),fr=_r(\"#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;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/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;}\"),hr=_r(\"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;}\"),pr=_r(\"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);}\"),dr=_r(\"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);}\"),vr=_r(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_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 pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_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 tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;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 aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;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*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));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;varying float v_width;\\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 float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_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 lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_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);v_width=floorwidth;}\"),gr=_r(\"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);}\"),yr=_r(\"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;}\"),mr=_r(\"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 vec4 a_pixeloffset;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;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;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_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} 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*max(a_minFontScale,fontScale)+a_pxoffset/16.0),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));}\"),xr=_r(\"#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 vec4 a_pixeloffset;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;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;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_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} 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+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;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=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),br=_r(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 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 fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;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;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 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;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;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_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} 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=size/24.0;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 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.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function _r(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 wr=Object.freeze({__proto__:null,prelude:Xe,background:Je,backgroundPattern:Ke,circle:$e,clippingMask:Qe,heatmap:tr,heatmapTexture:er,collisionBox:rr,collisionCircle:nr,debug:ir,fill:ar,fillOutline:or,fillOutlinePattern:sr,fillPattern:lr,fillExtrusion:ur,fillExtrusionPattern:cr,hillshadePrepare:fr,hillshade:hr,line:pr,lineGradient:dr,linePattern:vr,lineSDF:gr,raster:yr,symbolIcon:mr,symbolSDF:xr,symbolTextAndIcon:br}),Tr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};Tr.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,u=0;!l&&u<n.length;u++)this.boundPaintVertexBuffers[u]!==n[u]&&(l=!0);var c=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||c?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())},Tr.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,u=this.context,c=u.gl;if(u.extVertexArrayObject)this.vao&&this.destroy(),this.vao=u.extVertexArrayObject.createVertexArrayOES(),u.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=u.currentNumAttributes||0;for(var f=l;f<s;f++)c.disableVertexAttribArray(f)}e.enableAttributes(c,t);for(var h=0,p=r;h<p.length;h+=1)p[h].enableAttributes(c,t);a&&a.enableAttributes(c,t),o&&o.enableAttributes(c,t),e.bind(),e.setVertexAttribPointers(c,t,i);for(var d=0,v=r;d<v.length;d+=1){var g=v[d];g.bind(),g.setVertexAttribPointers(c,t,i)}a&&(a.bind(),a.setVertexAttribPointers(c,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(c,t,i)),u.currentNumAttributes=l},Tr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var kr=function(t,e,r,n,i){var a=t.gl;this.program=a.createProgram();var o=r?r.defines():[];i&&o.push(\"#define OVERDRAW_INSPECTOR;\");var s=o.concat(Xe.fragmentSource,e.fragmentSource).join(\"\\n\"),l=o.concat(Xe.vertexSource,e.vertexSource).join(\"\\n\"),u=a.createShader(a.FRAGMENT_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(u,s),a.compileShader(u),a.attachShader(this.program,u);var c=a.createShader(a.VERTEX_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(c,l),a.compileShader(c),a.attachShader(this.program,c);for(var f=r?r.layoutAttributes:[],h=0;h<f.length;h++)a.bindAttribLocation(this.program,h,f[h].name);a.linkProgram(this.program),a.deleteShader(c),a.deleteShader(u),this.numAttributes=a.getProgramParameter(this.program,a.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var v=a.getActiveAttrib(this.program,d);v&&(this.attributes[v.name]=a.getAttribLocation(this.program,v.name))}for(var g=a.getProgramParameter(this.program,a.ACTIVE_UNIFORMS),y=0;y<g;y++){var m=a.getActiveUniform(this.program,y);m&&(p[m.name]=a.getUniformLocation(this.program,m.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function Ar(t,e,r){var n=1/ge(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}kr.prototype.draw=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=t.gl;if(!this.failedToCreate){for(var m in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[m].set(o[m]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[y.LINES]=2,g[y.TRIANGLES]=3,g[y.LINE_STRIP]=1,g)[e],b=0,_=c.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new Tr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],u,w.vertexOffset,d,v),y.drawElements(e,w.primitiveLength*x,y.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Mr=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 u=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[u.r,u.g,u.b],u_vertical_gradient:+n,u_opacity:i}},Sr=function(e,r,n,i,a,o,s){return t.extend(Mr(e,r,n,i),Ar(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Er=function(t){return{u_matrix:t}},Lr=function(e,r,n,i){return t.extend(Er(e),Ar(n,r,i))},Cr=function(t,e){return{u_matrix:t,u_world:e}},Pr=function(e,r,n,i,a){return t.extend(Lr(e,r,n,i),{u_world:a})},Or=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=ge(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}},Ir=function(t,e,r){var n=ge(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}},Dr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},zr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Rr=function(t){return{u_matrix:t}},Fr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ge(e,1,r),u_intensity:n}},Br=function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var 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\")}},Nr=function(e,r,n){var i=n.paint.get(\"hillshade-shadow-color\"),a=n.paint.get(\"hillshade-highlight-color\"),o=n.paint.get(\"hillshade-accent-color\"),s=n.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===n.paint.get(\"hillshade-illumination-anchor\")&&(s-=e.transform.angle);var l,u,c,f=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),f),u_image:0,u_latrange:(l=r.tileID,u=Math.pow(2,l.canonical.z),c=l.canonical.y,[new t.MercatorCoordinate(0,c/u).toLngLat().lat,new t.MercatorCoordinate(0,(c+1)/u).toLngLat().lat]),u_light:[n.paint.get(\"hillshade-exaggeration\"),s],u_shadow:i,u_highlight:a,u_accent:o}},jr=function(e,r,n){var i=r.stride,a=t.create();return t.ortho(a,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(a,a,[0,-t.EXTENT,0]),{u_matrix:a,u_image:1,u_dimension:[i,i],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}};var Ur=function(e,r,n){var i=e.transform;return{u_matrix:Zr(e,r,n),u_ratio:1/ge(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Vr=function(e,r,n){return t.extend(Ur(e,r,n),{u_image:0})},Hr=function(e,r,n,i){var a=e.transform,o=Gr(r,a);return{u_matrix:Zr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/ge(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},qr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=Gr(r,o),u=\"round\"===n.layout.get(\"line-cap\"),c=s.getDash(i.from,u),f=s.getDash(i.to,u),h=c.width*a.fromScale,p=f.width*a.toScale;return t.extend(Ur(e,r,n),{u_patternscale_a:[l/h,-c.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:c.y,u_tex_y_b:f.y,u_mix:a.t})};function Gr(t,e){return 1/ge(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 Yr=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:Wr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Wr(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]}var Xr,Jr=function(t,e,r,n,i,a,o,s,l,u){var c=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:c.cameraToCenterDistance,u_pitch:c.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:c.width/c.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:u,u_texture:0}},Kr=function(e,r,n,i,a,o,s,l,u,c,f){var h=a.transform;return t.extend(Jr(e,r,n,i,a,o,s,l,u,c),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},$r=function(e,r,n,i,a,o,s,l,u,c){return t.extend(Kr(e,r,n,i,a,o,s,l,!0,u,!0),{u_texsize_icon:c,u_texture_icon:1})},Qr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},tn=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,u=Math.pow(2,n.tileID.overscaledZ),c=n.tileSize*Math.pow(2,r.transform.tileZoom)/u,f=c*(n.tileID.canonical.x+n.tileID.wrap*u),h=c*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/ge(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},en={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.Uniform3f(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.Uniform3f(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.Uniform3f(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: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)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},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),u_unpack:new t.Uniform4f(e,r.u_unpack)}},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.Uniform3f(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.Uniform1i(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.Uniform1i(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.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon: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.Uniform1i(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_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),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.Uniform1i(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 rn(e,r,n,i,a,o,s){for(var l=e.context,u=l.gl,c=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d<i.length;d++){var v=i[d],g=r.getTile(v),y=g.getBucket(n);if(y){var m=v.posMatrix;0===a[0]&&0===a[1]||(m=e.translatePosMatrix(v.posMatrix,g,a,o));var x=s?y.textCollisionBox:y.iconCollisionBox,b=y.collisionCircleArray;if(b.length>0){var _=t.create(),w=m;t.mul(_,y.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,y.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&c.draw(l,u.LINES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Ir(m,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M<S.length;M+=1)for(var E=S[M],L=0;L<E.circleArray.length/4;L++){var C=4*L,P=E.circleArray[C+0],O=E.circleArray[C+1],I=E.circleArray[C+2],D=E.circleArray[C+3];k.emplace(A++,P,O,I,D,0),k.emplace(A++,P,O,I,D,1),k.emplace(A++,P,O,I,D,2),k.emplace(A++,P,O,I,D,3)}(!Xr||Xr.length<2*h)&&(Xr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var z=l.createIndexBuffer(Xr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=Dr(N.transform,N.invTransform,e.transform);T.draw(l,u.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,j,n.id,R,z,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),z.destroy()}}var nn=t.identity(new Float32Array(16));function an(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,u=-(s.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point((l/a+c[0])*o,(u/a+c[1])*o)}function on(e,r,n,i,a,o,s,l,u,c,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,v={};p.clear();for(var g=0;g<h.length;g++){var y=h.get(g),m=e.allowVerticalPlacement&&!y.placedOrientation,x=y.hidden||!y.crossTileID||m?null:i[y.crossTileID];if(x){var b=new t.Point(y.anchorX,y.anchorY),_=re(b,n?l:s),w=ne(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,c,y)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/u);for(var k=x.width,A=x.height,M=an(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?re(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&y.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<y.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&y.associatedIconIndex>=0&&(v[y.associatedIconIndex]={shiftedAnchor:S,angle:E})}else he(y.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P<C.length;P++){var O=C.get(P);if(O.hidden)he(O.numGlyphs,d);else{var I=v[P];if(I)for(var D=0;D<O.numGlyphs;D++)t.addDynamicAttributes(d,I.shiftedAnchor,I.angle);else he(O.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function sn(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function ln(e,r,n,i,a,o,s,l,u,c,f,h){for(var p=e.context,d=p.gl,v=e.transform,g=\"map\"===l,y=\"map\"===u,m=g&&\"point\"!==n.layout.get(\"symbol-placement\"),x=g&&!y&&!m,b=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),_=e.depthModeForSublayer(0,Mt.ReadOnly),w=n.layout.get(\"text-variable-anchor\"),T=[],k=0,A=i;k<A.length;k+=1){var M=A[k],S=r.getTile(M),E=S.getBucket(n);if(E){var L=a?E.text:E.icon;if(L&&L.segments.get().length){var C=L.programConfigurations.get(n.id),P=a||E.sdfIcons,O=a?E.textSizeData:E.iconSizeData,I=y||0!==v.pitch,D=e.useProgram(sn(P,a,E),C),z=t.evaluateSizeForZoom(O,v.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(a){if(B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText){F=S.imageAtlasTexture.size,j=S.imageAtlasTexture;var V=\"composite\"===O.kind||\"camera\"===O.kind;U=I||e.options.rotating||e.options.zooming||V?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get(\"icon-size\").constantOr(0)||E.iconsNeedLinear;B=S.imageAtlasTexture,N=P||e.options.rotating||e.options.zooming||H||I?d.LINEAR:d.NEAREST,R=S.imageAtlasTexture.size}var q=ge(S,1,e.transform.zoom),G=te(M.posMatrix,y,g,e.transform,q),Z=ee(M.posMatrix,y,g,e.transform,q),Y=w&&E.hasTextData(),W=\"none\"!==n.layout.get(\"icon-text-fit\")&&Y&&E.hasIconData();m&&ae(E,M.posMatrix,e,a,G,Z,y,c);var X=e.translatePosMatrix(M.posMatrix,S,o,s),J=m||a&&w||W?nn:G,K=e.translatePosMatrix(Z,S,o,s,!0),$=P&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),Q={program:D,buffers:L,uniformValues:P?E.iconsInText?$r(O.kind,z,x,y,e,X,J,K,R,F):Kr(O.kind,z,x,y,e,X,J,K,a,R,!0):Jr(O.kind,z,x,y,e,X,J,K,a,R),atlasTexture:B,atlasTextureIcon:j,atlasInterpolation:N,atlasInterpolationIcon:U,isSDF:P,hasHalo:$};if(b)for(var tt=0,et=L.segments.get();tt<et.length;tt+=1){var rt=et[tt];T.push({segments:new t.SegmentVector([rt]),sortKey:rt.sortKey,state:Q})}else T.push({segments:L.segments,sortKey:0,state:Q})}}}b&&T.sort((function(t,e){return t.sortKey-e.sortKey}));for(var nt=0,it=T;nt<it.length;nt+=1){var at=it[nt],ot=at.state;if(p.activeTexture.set(d.TEXTURE0),ot.atlasTexture.bind(ot.atlasInterpolation,d.CLAMP_TO_EDGE),ot.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),ot.atlasTextureIcon&&ot.atlasTextureIcon.bind(ot.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),ot.isSDF){var st=ot.uniformValues;ot.hasHalo&&(st.u_is_halo=1,un(ot.buffers,at.segments,n,e,ot.program,_,f,h,st)),st.u_is_halo=0}un(ot.buffers,at.segments,n,e,ot.program,_,f,h,ot.uniformValues)}}function un(t,e,r,n,i,a,o,s,l){var u=n.context,c=u.gl;i.draw(u,c.TRIANGLES,a,o,s,Ct.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function cn(t,e,r,n,i,a,o){var s,l,u,c,f,h=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),v=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=h.LINES):(l=d?\"fillPattern\":\"fill\",s=h.TRIANGLES);for(var g=0,y=n;g<y.length;g+=1){var m=y[g],x=e.getTile(m);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(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(v));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&_.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(m.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){c=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];u=\"fillOutlinePattern\"===l&&d?Pr(S,t,v,x,E):Cr(S,E)}else c=b.indexBuffer,f=b.segments,u=d?Lr(S,t,v,x):Er(S);w.draw(t.context,s,i,t.stencilModeForClipping(m),a,Ct.disabled,u,r.id,b.layoutVertexBuffer,c,f,r.paint,t.transform.zoom,_)}}}}function fn(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,u=r.paint.get(\"fill-extrusion-pattern\"),c=u.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var v=d[p],g=e.getTile(v),y=g.getBucket(r);if(y){var m=y.programConfigurations.get(r.id),x=t.useProgram(c?\"fillExtrusionPattern\":\"fillExtrusion\",m);c&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),m.updatePaintBuffers(f));var b=u.constantOr(null);if(b&&g.imageAtlas){var _=g.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&m.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(v.posMatrix,g,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),A=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=c?Sr(k,t,A,h,v,f,g):Mr(k,t,A,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Ct.backCCW,M,r.id,y.layoutVertexBuffer,y.indexBuffer,y.segments,r.paint,t.transform.zoom,m)}}}function hn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var u=t.useProgram(\"hillshade\");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var c=Nr(t,e,r);u.draw(o,s.TRIANGLES,n,i,a,Ct.disabled,c,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function pn(e,r,n,i,a,o,s){var l=e.context,u=l.gl,c=r.dem;if(c&&c.data){var f=c.dim,h=c.stride,p=c.getPixels();if(l.activeTexture.set(u.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var d=r.demTexture;d.update(p,{premultiply:!1}),d.bind(u.NEAREST,u.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,p,u.RGBA,{premultiply:!1}),r.demTexture.bind(u.NEAREST,u.CLAMP_TO_EDGE);l.activeTexture.set(u.TEXTURE0);var v=r.fbo;if(!v){var g=new t.Texture(l,{width:f,height:f,data:null},u.RGBA);g.bind(u.LINEAR,u.CLAMP_TO_EDGE),(v=r.fbo=l.createFramebuffer(f,f,!0)).colorAttachment.set(g.texture)}l.bindFramebuffer.set(v.framebuffer),l.viewport.set([0,0,f,f]),e.useProgram(\"hillshadePrepare\").draw(l,u.TRIANGLES,a,o,s,Ct.disabled,jr(r.tileID,c,i),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function dn(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,u=r?(s-r.timeAdded)/o:-1,c=n.getSource(),f=a.coveringZoomLevel({tileSize:c.tileSize,roundZoom:c.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-u,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}}var vn=new t.Color(1,0,0,1),gn=new t.Color(0,1,0,1),yn=new t.Color(0,0,1,1),mn=new t.Color(1,0,1,1),xn=new t.Color(0,1,1,1);function bn(t){var e=t.transform.padding;_n(t,t.transform.height-(e.top||0),3,vn),_n(t,e.bottom||0,3,gn),wn(t,e.left||0,3,yn),wn(t,t.transform.width-(e.right||0),3,mn);var r=t.transform.centerPoint;!function(t,e,r,n){var i=20,a=2;Tn(t,e-a/2,r-i/2,a,i,n),Tn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,xn)}function _n(t,e,r,n){Tn(t,0,e+r/2,t.transform.width,r,n)}function wn(t,e,r,n){Tn(t,e-r/2,0,r,t.transform.height,n)}function Tn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function kn(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=Mt.disabled,u=Et.disabled,c=e.colorModeForRenderPass(),f=\"$debug\";i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,u,c,Ct.disabled,zr(o,t.Color.red),f,e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var h=r.getTileByID(n.key).latestRawTileData,p=h&&h.byteLength||0,d=Math.floor(p/1024),v=r.getTile(n).tileSize,g=512/Math.min(v,512)*(n.overscaledZ/e.transform.zoom)*.5,y=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(y+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,y+\" \"+d+\"kb\"),s.draw(i,a.TRIANGLES,l,u,Lt.alphaBlended,Ct.disabled,zr(o,t.Color.transparent,g),f,e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var An={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=Et.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,u=\"map\"===a,c=\"map\"===o,f=0,h=e;f<h.length;f+=1){var p=h[f],d=i.getTile(p),v=d.getBucket(n);if(v&&v.text&&v.text.segments.get().length){var g=v.textSizeData,y=t.evaluateSizeForZoom(g,l.zoom),m=ge(d,1,r.transform.zoom),x=te(p.posMatrix,c,u,r.transform,m),b=\"none\"!==n.layout.get(\"icon-text-fit\")&&v.hasIconData();if(y){var _=Math.pow(2,l.zoom-d.tileID.overscaledZ);on(v,u,c,s,t.symbolSize,l,x,p.posMatrix,_,y,b)}}}}(i,e,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),a),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&ln(e,r,n,i,!1,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),n.layout.get(\"icon-rotation-alignment\"),n.layout.get(\"icon-pitch-alignment\"),n.layout.get(\"icon-keep-upright\"),o,s),0!==n.paint.get(\"text-opacity\").constantOr(1)&&ln(e,r,n,i,!0,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(rn(e,r,n,i,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),rn(e,r,n,i,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=void 0!==n.layout.get(\"circle-sort-key\").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var u=e.context,c=u.gl,f=e.depthModeForSublayer(0,Mt.ReadOnly),h=Et.disabled,p=e.colorModeForRenderPass(),d=[],v=0;v<i.length;v++){var g=i[v],y=r.getTile(g),m=y.getBucket(n);if(m){var x=m.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:m.layoutVertexBuffer,indexBuffer:m.indexBuffer,uniformValues:Or(e,g,y,n)};if(l)for(var _=0,w=m.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:m.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,A=d;k<A.length;k+=1){var M=A[k],S=M.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,O=S.uniformValues,I=M.segments;L.draw(u,c.TRIANGLES,f,h,p,Ct.disabled,O,n.id,C,P,I,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var a=e.context,o=a.gl,s=Et.disabled,l=new Lt([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);(function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}})(a,e,n),a.clear({color:t.Color.transparent});for(var u=0;u<i.length;u++){var c=i[u];if(!r.hasRenderableParent(c)){var f=r.getTile(c),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram(\"heatmap\",p),v=e.transform.zoom;d.draw(a,o.TRIANGLES,Mt.disabled,s,l,Ct.disabled,Fr(c.posMatrix,f,v,n.paint.get(\"heatmap-intensity\")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(a){n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA)),o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,i.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Br(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,Mt.ReadOnly),l=e.colorModeForRenderPass(),u=n.paint.get(\"line-dasharray\"),c=n.paint.get(\"line-pattern\"),f=c.constantOr(1),h=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=f?\"linePattern\":u?\"lineSDF\":h?\"lineGradient\":\"line\",v=e.context,g=v.gl,y=!0;if(h){v.activeTexture.set(g.TEXTURE0);var m=n.gradientTexture;if(!n.gradient)return;m||(m=n.gradientTexture=new t.Texture(v,n.gradient,g.RGBA)),m.bind(g.LINEAR,g.CLAMP_TO_EDGE)}for(var x=0,b=i;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!f||w.patternsLoaded()){var T=w.getBucket(n);if(T){var k=T.programConfigurations.get(n.id),A=e.context.program.get(),M=e.useProgram(d,k),S=y||M.program!==A,E=c.constantOr(null);if(E&&w.imageAtlas){var L=w.imageAtlas,C=L.patternPositions[E.to.toString()],P=L.patternPositions[E.from.toString()];C&&P&&k.setConstantPatternPositions(C,P)}var O=f?Hr(e,w,n,p):u?qr(e,w,n,u,p):h?Vr(e,w,n):Ur(e,w,n);f?(v.activeTexture.set(g.TEXTURE0),w.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),k.updatePaintBuffers(p)):u&&(S||e.lineAtlas.dirty)&&(v.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(v)),M.draw(v,g.TRIANGLES,s,e.stencilModeForClipping(_),l,Ct.disabled,O,n.id,T.layoutVertexBuffer,T.indexBuffer,T.segments,n.paint,e.transform.zoom,k),y=!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\"),u=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===u){var c=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);cn(e,r,n,i,c,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var f=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,Mt.ReadOnly);cn(e,r,n,i,f,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 Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))fn(t,e,r,n,a,Et.disabled,Lt.disabled),fn(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();fn(t,e,r,n,a,Et.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,Mt.ReadOnly),s=t.colorModeForRenderPass(),l=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],u=l[0],c=0,f=l[1];c<f.length;c+=1){var h=f[c],p=e.getTile(h);p.needsHillshadePrepare&&\"offscreen\"===t.renderPass?pn(t,p,r,a,o,Et.disabled,s):\"translucent\"===t.renderPass&&hn(t,p,r,o,u[h.overscaledZ],s)}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\")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),u=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),c=u[0],f=u[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,v=f;d<v.length;d+=1){var g=v[d],y=t.depthModeForSublayer(g.overscaledZ-h,1===r.paint.get(\"raster-opacity\")?Mt.ReadWrite:Mt.ReadOnly,a.LESS),m=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);m.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var b=e.findLoadedParent(g,0),_=dn(m,b,e,r,t.transform),w=void 0,T=void 0,k=\"nearest\"===r.paint.get(\"raster-resampling\")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),m.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-m.tileID.overscaledZ),T=[m.tileID.canonical.x*w%1,m.tileID.canonical.y*w%1]):m.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Yr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,y,Et.disabled,l,Ct.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,y,c[g.overscaledZ],l,Ct.disabled,A,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,u=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(u)){var c=!u&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===c){var f=Et.disabled,h=t.depthModeForSublayer(0,\"opaque\"===c?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(u?\"backgroundPattern\":\"background\"),v=s.coveringTiles({tileSize:l});u&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),y=0,m=v;y<m.length;y+=1){var x=m[y],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=u?tn(b,i,t,u,{tileID:x,tileSize:l},g):Qr(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Ct.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)kn(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(Et.disabled);var o=\"3d\"===i.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},Mn=function(t,e){this.context=new Pt(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Ot.maxUnderzooming+Ot.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ve,this.gpuTimers={}};Mn.prototype.resize=function(e,r){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 n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},Mn.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,We.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,We.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,O.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,We.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),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Et({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},Mn.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,Mt.disabled,this.stencilClearMode,Lt.disabled,Ct.disabled,Rr(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},Mn.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(Lt.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,Mt.disabled,new Et({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),Lt.disabled,Ct.disabled,Rr(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},Mn.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Et({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},Mn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Et({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},Mn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Et({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Et.disabled,e),n]},Mn.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){var r=1/8;return new Lt([e.CONSTANT_COLOR,e.ONE],new t.Color(r,r,r,0),[!0,!0,!0,!0])}return\"opaque\"===this.renderPass?Lt.unblended:Lt.alphaBlended},Mn.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return Mt.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new Mt(r||this.context.gl.LEQUAL,e,[n,n])},Mn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},Mn.prototype.render=function(e,r){var n=this;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 i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,u,c={},f={},h={};for(var p in a){var d=a[p];c[p]=d.getVisibleCoordinates(),f[p]=c[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var v=0;v<i.length;v++){var g=i[v];if(this.style._layers[g].is3D()){this.opaquePassCutoff=v;break}}this.renderPass=\"offscreen\";for(var y=0,m=i;y<m.length;y+=1){var x=m[y],b=this.style._layers[x];if(b.hasOffscreenPass()&&!b.isHidden(this.transform.zoom)){var _=f[b.source];(\"custom\"===b.type||_.length)&&this.renderLayer(this,a[b.source],b,_)}}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=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=c[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var A=this.style._layers[i[this.currentLayer]],M=a[A.source],S=(\"symbol\"===A.type?h:f)[A.source];this._renderTileClippingMasks(A,c[A.source]),this.renderLayer(this,M,A,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(u&&u.id)&&(u=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<u.getSource().maxzoom)&&(l=u))})),l&&An.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&bn(this),this.context.setDefault()},Mn.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||\"custom\"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),An[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},Mn.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},Mn.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},Mn.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},Mn.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},Mn.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 u=[a?n[0]:ge(r,n[0],this.transform.zoom),a?n[1]:ge(r,n[1],this.transform.zoom),0],c=new Float32Array(16);return t.translate(c,e,u),c},Mn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},Mn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},Mn.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},Mn.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new kr(this.context,wr[t],e,en[t],this._showOverdrawInspector)),this.cache[r]},Mn.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()},Mn.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)},Mn.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},Mn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var Sn=function(t,e){this.points=t,this.planes=e};Sn.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new Sn(a,o)};var En=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};En.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new En(n,i)},En.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},En.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},En.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var u=Number.MAX_VALUE,c=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];u=Math.min(u,h),c=Math.max(c,h)}if(c<0||u>this.max[l]-this.min[l])return 0}return 1};var Ln=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=r,this.right=n};Ln.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},Ln.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},Ln.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},Ln.prototype.clone=function(){return new Ln(this.top,this.bottom,this.left,this.right)},Ln.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var Cn=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,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._edgeInsets=new Ln,this._posMatrixCache={},this._alignedPosMatrixCache={}},Pn={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};Cn.prototype.clone=function(){var t=new Cn(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,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._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Pn.minZoom.get=function(){return this._minZoom},Pn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Pn.maxZoom.get=function(){return this._maxZoom},Pn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Pn.minPitch.get=function(){return this._minPitch},Pn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Pn.maxPitch.get=function(){return this._maxPitch},Pn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Pn.renderWorldCopies.get=function(){return this._renderWorldCopies},Pn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Pn.worldSize.get=function(){return this.tileSize*this.scale},Pn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Pn.size.get=function(){return new t.Point(this.width,this.height)},Pn.bearing.get=function(){return-this.angle/Math.PI*180},Pn.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))},Pn.pitch.get=function(){return this._pitch/Math.PI*180},Pn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Pn.fov.get=function(){return this._fov/Math.PI*180},Pn.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())},Pn.zoom.get=function(){return this._zoom},Pn.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())},Pn.center.get=function(){return this._center},Pn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Pn.padding.get=function(){return this._edgeInsets.toJSON()},Pn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Pn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},Cn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},Cn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},Cn.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},Cn.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)),u=s-1;u<=l+1;u++)0!==u&&r.push(new t.UnwrappedTileID(u,e));return r},Cn.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=[a*i.x,a*i.y,0],s=Sn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var u=function(t){return{aabb:new En([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},c=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)c.push(u(-d)),c.push(u(d));for(c.push(u(0));c.length>0;){var v=c.pop(),g=v.x,y=v.y,m=v.fullyVisible;if(!m){var x=v.aabb.intersects(s);if(0===x)continue;m=2===x}var b=v.aabb.distanceX(o),_=v.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-v.zoom)-2;if(v.zoom===h||w>T&&v.zoom>=l)f.push({tileID:new t.OverscaledTileID(v.zoom===h?p:v.zoom,v.wrap,v.zoom,g,y),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-y])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(y<<1)+(k>>1);c.push({aabb:v.aabb.quadrant(k),zoom:v.zoom+1,x:A,y:M,wrap:v.wrap,fullyVisible:m})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},Cn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Pn.unmodified.get=function(){return this._unmodified},Cn.prototype.zoomScale=function(t){return Math.pow(2,t)},Cn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},Cn.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)},Cn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Pn.point.get=function(){return this.project(this.center)},Cn.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())},Cn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},Cn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},Cn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},Cn.prototype.coordinateLocation=function(t){return t.toLngLat()},Cn.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,u=n[1]/a,c=r[2]/i,f=n[2]/a,h=c===f?0:(0-c)/(f-c);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,u,h)/this.worldSize)},Cn.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])},Cn.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)))},Cn.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},Cn.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])},Cn.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]},Cn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},Cn.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,u=this.size,c=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<u.y?u.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<u.x?u.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=c,void(this._constraining=!1);if(this.latRange){var v=p.y,g=u.y/2;v-g<a&&(i=a+g),v+g>o&&(i=o-g)}if(this.lngRange){var y=p.x,m=u.x/2;y-m<s&&(n=s+m),y+m>l&&(n=l-m)}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=c,this._constraining=!1}},Cn.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,u=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),c=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,c,u),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),v=Math.sin(this.angle),g=s-Math.round(s)+d*h+v*p,y=l-Math.round(l)+d*p+v*h,m=new Float64Array(f);if(t.translate(m,m,[g>.5?g-1:g,y>.5?y-1:y,0]),this.alignedProjMatrix=m,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},Cn.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},Cn.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},Cn.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 u=l[s];n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.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(Cn.prototype,Pn);var On=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};On.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},On.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},On.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),u=this._map.getPitch(),c=\"\";if(c+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||u)&&(c+=\"/\"+Math.round(10*l)/10),u&&(c+=\"/\"+Math.round(u)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split(\"&\").map((function(t){var e=t.split(\"=\")[0];return e===f?(h=!0,e+\"=\"+c):t})).filter((function(t){return t}));return h||p.push(f+\"=\"+c),\"#\"+p.join(\"&\")}return\"#\"+c},On.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace(\"#\",\"\");return this._hashName?(n.split(\"&\").map((function(t){return t.split(\"=\")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||\"\").split(\"/\")):n.split(\"/\")},On.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},On.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var In={linearity:.3,easing:t.bezier(0,0,.3,1)},Dn=t.extend({deceleration:2500,maxSpeed:1400},In),zn=t.extend({deceleration:20,maxSpeed:1400},In),Rn=t.extend({deceleration:1e3,maxSpeed:360},In),Fn=t.extend({deceleration:1e3,maxSpeed:90},In),Bn=function(t){this._map=t,this.clear()};function Nn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function jn(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}Bn.prototype.clear=function(){this._inertiaBuffer=[]},Bn.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},Bn.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},Bn.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=jn(r.pan.mag(),o,t.extend({},Dn,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,Nn(s,l)}if(r.zoom){var u=jn(r.zoom,o,zn);s.zoom=this._map.transform.zoom+u.amount,Nn(s,u)}if(r.bearing){var c=jn(r.bearing,o,Rn);s.bearing=this._map.transform.bearing+t.clamp(c.amount,-179,179),Nn(s,c)}if(r.pitch){var f=jn(r.pitch,o,Fn);s.pitch=this._map.transform.pitch+f.amount,Nn(s,f)}if(s.zoom||s.bearing){var h=void 0===r.pinchAround?r.around:r.pinchAround;s.around=h?this._map.unproject(h):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};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),Vn=function(e){function n(n,i,a){var o=\"touchend\"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),u=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),c=i.unproject(u);e.call(this,n,{points:s,point:u,lngLats:l,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),Hn=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),qn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};qn.prototype.reset=function(){delete this._mousedownPos},qn.prototype.wheel=function(t){return this._firePreventable(new Hn(t.type,this._map,t))},qn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Un(t.type,this._map,t))},qn.prototype.mouseup=function(t){this._map.fire(new Un(t.type,this._map,t))},qn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Un(t.type,this._map,t))},qn.prototype.dblclick=function(t){return this._firePreventable(new Un(t.type,this._map,t))},qn.prototype.mouseover=function(t){this._map.fire(new Un(t.type,this._map,t))},qn.prototype.mouseout=function(t){this._map.fire(new Un(t.type,this._map,t))},qn.prototype.touchstart=function(t){return this._firePreventable(new Vn(t.type,this._map,t))},qn.prototype.touchmove=function(t){this._map.fire(new Vn(t.type,this._map,t))},qn.prototype.touchend=function(t){this._map.fire(new Vn(t.type,this._map,t))},qn.prototype.touchcancel=function(t){this._map.fire(new Vn(t.type,this._map,t))},qn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},qn.prototype.isEnabled=function(){return!0},qn.prototype.isActive=function(){return!1},qn.prototype.enable=function(){},qn.prototype.disable=function(){};var Gn=function(t){this._map=t};Gn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Gn.prototype.mousemove=function(t){this._map.fire(new Un(t.type,this._map,t))},Gn.prototype.mousedown=function(){this._delayContextMenu=!0},Gn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Un(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Gn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Un(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},Gn.prototype.isEnabled=function(){return!0},Gn.prototype.isActive=function(){return!1},Gn.prototype.enable=function(){},Gn.prototype.disable=function(){};var Zn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Yn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Zn.prototype.isEnabled=function(){return!!this._enabled},Zn.prototype.isActive=function(){return!!this._active},Zn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Zn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Zn.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Zn.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,\"translate(\"+a+\"px,\"+s+\"px)\"),this._box.style.width=o-a+\"px\",this._box.style.height=l-s+\"px\"}}},Zn.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event(\"boxzoomend\",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent(\"boxzoomcancel\",e)}},Zn.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Zn.prototype.reset=function(){this._active=!1,this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Zn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Wn=function(t){this.reset(),this.numTouches=t.numTouches};Wn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Wn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=Yn(n,r)))},Wn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Yn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Wn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var Xn=function(t){this.singleTap=new Wn(t),this.numTaps=t.numTaps,this.reset()};Xn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Xn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Xn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Xn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Jn=function(){this._zoomIn=new Xn({numTouches:1,numTaps:2}),this._zoomOut=new Xn({numTouches:2,numTaps:1}),this.reset()};Jn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Jn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Jn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Jn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var Kn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Kn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Kn.prototype._correctButton=function(t,e){return!1},Kn.prototype._move=function(t,e){return{}},Kn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Kn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)<this._clickTolerance)))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Kn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Kn.prototype.enable=function(){this._enabled=!0},Kn.prototype.disable=function(){this._enabled=!1,this.reset()},Kn.prototype.isEnabled=function(){return this._enabled},Kn.prototype.isActive=function(){return this._active};var $n=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.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Kn),Qn=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._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Kn),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._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Kn),ei=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};ei.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},ei.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},ei.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},ei.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},ei.prototype.touchcancel=function(){this.reset()},ei.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Yn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var u=i[l],c=this._touches[l];c&&(a._add(u),o._add(u.sub(c)),s++,i[l]=u)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},ei.prototype.enable=function(){this._enabled=!0},ei.prototype.disable=function(){this._enabled=!1,this.reset()},ei.prototype.isEnabled=function(){return this._enabled},ei.prototype.isActive=function(){return this._active};var ri=function(){this.reset()};function ni(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}ri.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},ri.prototype._start=function(t){},ri.prototype._move=function(t,e,r){return{}},ri.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},ri.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=ni(r,e,i),s=ni(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},ri.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=ni(n,e,a),l=ni(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},ri.prototype.touchcancel=function(){this.reset()},ri.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},ri.prototype.disable=function(){this._enabled=!1,this.reset()},ri.prototype.isEnabled=function(){return this._enabled},ri.prototype.isActive=function(){return this._active};function ii(t,e){return Math.log(t/e)/Math.LN2}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.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs(ii(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:ii(this._distance,r),pinchAround:e}},e}(ri);function oi(t,e){return 180*t.angleWith(e)/Math.PI}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.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:oi(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=oi(t,this._startVector);return Math.abs(r)<e},e}(ri);function li(t){return Math.abs(t.y)>Math.abs(t.x)}var ui=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.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,li(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+i.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return li(t)&&li(e)&&a}},e}(ri),ci={panStep:100,bearingStep:15,pitchStep:10},fi=function(){var t=ci;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function hi(t){return t*(2-t)}fi.prototype.reset=function(){this._active=!1},fi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:hi,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},fi.prototype.enable=function(){this._enabled=!0},fi.prototype.disable=function(){this._enabled=!1,this.reset()},fi.prototype.isEnabled=function(){return this._enabled},fi.prototype.isActive=function(){return this._active};var pi=4.000244140625,di=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};di.prototype.setZoomRate=function(t){this._defaultZoomRate=t},di.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},di.prototype.isEnabled=function(){return!!this._enabled},di.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},di.prototype.isZooming=function(){return!!this._zooming},di.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},di.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},di.prototype.wheel=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%pi==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._active||this._start(e)),e.preventDefault()}},di.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},di.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete 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=!0,this._handler._triggerRenderFrame())}},di.prototype.renderFrame=function(){return this._onScrollFrame()},di.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>pi?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,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,u=this._easing,c=!1;if(\"wheel\"===this._type&&l&&u){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=u(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):c=!0}else o=s,c=!0;return this._active=!0,c&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!c,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},di.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},di.prototype.reset=function(){this._active=!1};var vi=function(t,e){this._clickZoom=t,this._tapZoom=e};vi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},vi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},vi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},vi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var gi=function(){this.reset()};gi.prototype.reset=function(){this._active=!1},gi.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},gi.prototype.enable=function(){this._enabled=!0},gi.prototype.disable=function(){this._enabled=!1,this.reset()},gi.prototype.isEnabled=function(){return this._enabled},gi.prototype.isActive=function(){return this._active};var yi=function(){this._tap=new Xn({numTouches:1,numTaps:1}),this.reset()};yi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},yi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},yi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},yi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},yi.prototype.touchcancel=function(){this.reset()},yi.prototype.enable=function(){this._enabled=!0},yi.prototype.disable=function(){this._enabled=!1,this.reset()},yi.prototype.isEnabled=function(){return this._enabled},yi.prototype.isActive=function(){return this._active};var mi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};mi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},mi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},mi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},mi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var xi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};xi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},xi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},xi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},xi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var bi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};bi.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},bi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},bi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},bi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},bi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},bi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var _i=function(t){return t.zoom||t.drag||t.pitch||t.rotate},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}(t.Event);function Ti(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var ki=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Bn(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!1}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],u=s[1],c=s[2];r.addEventListener(l,u,l===t.window.document?this.handleWindowEvent:this.handleEvent,c)}};ki.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},ki.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new qn(e,t));var n=e.boxZoom=new Zn(e,t);this._add(\"boxZoom\",n);var i=new Jn,a=new gi;e.doubleClickZoom=new vi(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new yi;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new ui;this._add(\"touchPitch\",s);var l=new Qn(t),u=new ti(t);e.dragRotate=new xi(t,l,u),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",u,[\"mouseRotate\"]);var c=new $n(t),f=new ei(t);e.dragPan=new mi(r,c,f),this._add(\"mousePan\",c),this._add(\"touchPan\",f,[\"touchZoom\",\"touchRotate\"]);var h=new si,p=new ai;e.touchZoomRotate=new bi(r,p,h,o),this._add(\"touchRotate\",h,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new di(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var v=e.keyboard=new fi;this._add(\"keyboard\",v),this._add(\"blockableMapEvent\",new Gn(e));for(var g=0,y=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];g<y.length;g+=1){var m=y[g];t.interactive&&t[m]&&e[m].enable(t[m])}},ki.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},ki.prototype.stop=function(){if(!this._updatingCamera){for(var t=0,e=this._handlers;t<e.length;t+=1)e[t].handler.reset();this._inertia.clear(),this._fireEvents({},{}),this._changes=[]}},ki.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1)if(e[t].handler.isActive())return!0;return!1},ki.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},ki.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},ki.prototype.isMoving=function(){return Boolean(_i(this._eventsInProgress))||this.isZooming()},ki.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},ki.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},ki.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},ki.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),u=0,c=this._handlers;u<c.length;u+=1){var f=c[u],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var v=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(v=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,v,h,n),v&&v.needsRenderFrame&&this._triggerRenderFrame()),(v||p.isActive())&&(o[h]=p)}}var g={};for(var y in this._previousActiveHandlers)o[y]||(g[y]=n);this._previousActiveHandlers=o,(Object.keys(g).length||Ti(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||Ti(i))&&this._map._stop(!0),this._updatingCamera=!1;var m=i.cameraAnimation;m&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],m(this._map))}else this.stop()},ki.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},ki.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],u=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,u)}this._updateMapTransform(e,r,n),this._changes=[]},ki.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!Ti(t))return this._fireEvents(e,r);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,u=t.around,c=t.pinchAround;void 0!==c&&(u=c),n._stop(!0),u=u||n.transform.centerPoint;var f=i.pointLocation(a?u.sub(a):u);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,u),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},ki.prototype._fireEvents=function(e,r){var n=this,i=_i(this._eventsInProgress),a=_i(e),o={};for(var s in e){var l=e[s].originalEvent;this._eventsInProgress[s]||(o[s+\"start\"]=l),this._eventsInProgress[s]=e[s]}for(var u in!i&&a&&this._fireEvent(\"movestart\",a.originalEvent),o)this._fireEvent(u,o[u]);for(var c in e.rotate&&(this._bearingChanged=!0),a&&this._fireEvent(\"move\",a.originalEvent),e){var f=e[c].originalEvent;this._fireEvent(c,f)}var h,p={};for(var d in this._eventsInProgress){var v=this._eventsInProgress[d],g=v.handlerName,y=v.originalEvent;this._handlersById[g].isActive()||(delete this._eventsInProgress[d],h=r[g]||y,p[d+\"end\"]=h)}for(var m in p)this._fireEvent(m,p[m]);var x=_i(this._eventsInProgress);if((i||a)&&!x){this._updatingCamera=!0;var b=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),_=function(t){return 0!==t&&-n._bearingSnap<t&&t<n._bearingSnap};b?(_(b.bearing||this._map.getBearing())&&(b.bearing=0),this._map.easeTo(b,{originalEvent:h})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:h})),_(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},ki.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},ki.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame((function(e){delete t._frameId,t.handleEvent(new wi(\"renderFrame\",{timeStamp:e})),t._applyChanges()})))};var Ai=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.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding: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.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,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){var a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,u=s.project(t.LngLat.convert(e)),c=s.project(t.LngLat.convert(r)),f=u.rotate(-n*Math.PI/180),h=c.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),v=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/v.x,y=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/v.y;if(!(y<0||g<0)){var m=Math.min(s.scaleZoom(s.scale*Math.min(g,y)),i.maxZoom),x=t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(x.x+b,x.y+_).mult(s.scale/s.zoomScale(m));return{center:s.unproject(u.add(c).div(2).sub(w)),zoom:m,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")},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?(delete(r=t.extend(e,r)).padding,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),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),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.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),u=\"zoom\"in e?+e.zoom:a,c=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,f=\"pitch\"in e?+e.pitch:s,h=\"padding\"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),v=i.pointLocation(d),g=t.LngLat.convert(e.center||v);this._normalizeCenter(g);var y,m,x=i.project(v),b=i.project(g).sub(x),_=i.zoomScale(u-a);e.around&&(y=t.LngLat.convert(e.around),m=i.locationPoint(y));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||u!==a,this._rotating=this._rotating||o!==c,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,u,e)),n._rotating&&(i.bearing=t.number(o,c,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),y)i.setLocationAtPoint(y,m);else{var v=i.zoomScale(i.zoom-a),g=u>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(v));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.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,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),u=this.getPadding(),c=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(c-o),v=t.Point.convert(e.offset),g=a.centerPoint.add(v),y=a.pointLocation(g),m=t.LngLat.convert(e.center||y);this._normalizeCenter(m);var x=a.project(y),b=a.project(m).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,c),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),O=function(t){return C(P)/C(P+_*t)},I=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},D=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(D)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var z=T<w?-1:1;D=Math.abs(Math.log(T/w))/_,I=function(){return 0},O=function(t){return Math.exp(z*_*t)}}if(\"duration\"in e)e.duration=+e.duration;else{var R=\"screenSpeed\"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*D/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*D,d=1/O(i);a.zoom=1===e?c:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(u,p,e),g=a.centerPoint.add(v));var y=1===e?m:a.unproject(x.add(b.mult(I(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?y.wrap():y,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}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),Mi=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};Mi.prototype.getDefaultPosition=function(){return\"bottom-right\"},Mi.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},Mi.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,this._attribHTML=void 0},Mi.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:this._map._requestManager._customAccessToken||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\"}},Mi.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},Mi.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)}},Mi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var Si=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};Si.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\",this._map._getUIString(\"LogoControl.Title\")),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},Si.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},Si.prototype.getDefaultPosition=function(){return\"bottom-left\"},Si.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},Si.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}},Si.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 Ei=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Ei.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Ei.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)}},Ei.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},Ei.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Li={\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"Mapbox logo\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\"},Ci=t.window.HTMLImageElement,Pi=t.window.HTMLElement,Oi=t.window.ImageBitmap,Ii=60,Di={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:Ii,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},zi=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Di,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>Ii)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new Cn(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,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 Ei,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Li,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"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 Pi))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 r._update(!1)})),this.on(\"moveend\",(function(){return r._update(!1)})),this.on(\"zoom\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1)),this.handlers=new ki(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new On(a).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 Mi({customAttribution:e.customAttribution})),this.addControl(new Si,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.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},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{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];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.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?-2:t)>=-2&&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 -2 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.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?Ii:t)>Ii)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},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.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;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)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),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:this._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._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new Ye(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._lazyInitEmptyStyle=function(){this.style||(this.style=new Ye(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},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._lazyInitEmptyStyle(),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._lazyInitEmptyStyle(),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;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof Ci||Oi&&r instanceof Oi){var u=t.browser.getImageData(r),c=u.width,f=u.height,h=u.data;this.style.addImage(e,{data:new t.RGBAImage({width:c,height:f},h),pixelRatio:i,stretchX:o,stretchY:s,content:l,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`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var p=r.width,d=r.height,v=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(v)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:g}),g.onAdd&&g.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 Ci||Oi&&r instanceof Oi?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`, `ImageBitmap`, 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 Ci||Oi&&r instanceof Oi);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._lazyInitEmptyStyle(),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.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(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._lazyInitEmptyStyle(),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.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.browser.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 Mn(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(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var u=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),c=u.crossFadingFactor();1===c&&c===this._crossFadingFactor||(o=!0,this._crossFadingFactor=c),this.style.update(u)}if(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,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event(\"gpu-timing-frame\",{cpuTime:f,gpuTime:e}))}),50)}if(this.listens(\"gpu-timing-layer\")){var h=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event(\"gpu-timing-layer\",{layerTimes:e}))}),50)}return this._sourcesDirty||this._styleDirty||this._placementDirty||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&(this._fullyLoaded||(this._fullyLoaded=!0),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.painter.destroy(),this.handlers.destroy(),delete this.handlers,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(),Ri(this._canvasContainer),Ri(this._controlContainer),Ri(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new t.Event(\"remove\"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=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)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(Ai);function Ri(t){t.parentNode&&t.parentNode.removeChild(t)}var Fi={showCompass:!0,showZoom:!0,visualizePitch:!1},Bi=function(e){var n=this;this.options=t.extend({},Fi,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([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};Bi.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},Bi.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassIcon.style.transform=t},Bi.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ni(this._map,this._compass,this.options.visualizePitch)),this._container},Bi.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},Bi.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},Bi.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ni=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Qn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new ti({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),r.addEventListener(n,\"mousedown\",this.mousedown),r.addEventListener(n,\"touchstart\",this.touchstart,{passive:!1}),r.addEventListener(n,\"touchmove\",this.touchmove),r.addEventListener(n,\"touchend\",this.touchend),r.addEventListener(n,\"touchcancel\",this.reset)};function ji(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}Ni.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ni.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ni.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ni.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ni.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup)},Ni.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ni.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ni.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ni.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ni.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ni.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var Ui={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 Vi(t,e,r){var n=t.classList;for(var i in Ui)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var Hi,qi=function(e){function n(n,i){var a=this;if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._draggable=n&&n.draggable||!1,this._state=\"inactive\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\"auto\",this._pitchAlignment=n&&n.pitchAlignment&&\"auto\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,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\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");o.setAttributeNS(null,\"display\",\"block\"),o.setAttributeNS(null,\"height\",\"41px\"),o.setAttributeNS(null,\"width\",\"27px\"),o.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"stroke\",\"none\"),s.setAttributeNS(null,\"stroke-width\",\"1\"),s.setAttributeNS(null,\"fill\",\"none\"),s.setAttributeNS(null,\"fill-rule\",\"evenodd\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"fill-rule\",\"nonzero\");var u=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");u.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),u.setAttributeNS(null,\"fill\",\"#000000\");for(var c=0,f=[{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<f.length;c+=1){var h=f[c],p=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");p.setAttributeNS(null,\"opacity\",\"0.04\"),p.setAttributeNS(null,\"cx\",\"10.5\"),p.setAttributeNS(null,\"cy\",\"5.80029008\"),p.setAttributeNS(null,\"rx\",h.rx),p.setAttributeNS(null,\"ry\",h.ry),u.appendChild(p)}var d=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");d.setAttributeNS(null,\"fill\",this._color);var v=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");v.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\"),d.appendChild(v);var g=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");g.setAttributeNS(null,\"opacity\",\"0.25\"),g.setAttributeNS(null,\"fill\",\"#000000\");var y=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");y.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(y);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 x=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");x.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#000000\"),b.setAttributeNS(null,\"opacity\",\"0.25\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\");var _=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");_.setAttributeNS(null,\"fill\",\"#FFFFFF\"),_.setAttributeNS(null,\"cx\",\"5.5\"),_.setAttributeNS(null,\"cy\",\"5.5\"),_.setAttributeNS(null,\"r\",\"5.4999962\"),x.appendChild(b),x.appendChild(_),l.appendChild(u),l.appendChild(d),l.appendChild(g),l.appendChild(m),l.appendChild(x),o.appendChild(l),this._element.appendChild(o),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",(function(t){t.preventDefault()})),this._element.addEventListener(\"mousedown\",(function(t){t.preventDefault()})),this._element.addEventListener(\"focus\",(function(){var t=a._map.getContainer();t.scrollTop=0,t.scrollLeft=0})),Vi(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),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),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,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=13.5,r=Math.sqrt(Math.pow(e,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[r,-1*(24.6+r)],\"bottom-right\":[-r,-1*(24.6+r)],left:[e,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},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){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=ji(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?e=\"rotateZ(\"+this._rotation+\"deg)\":\"map\"===this._rotationAlignment&&(e=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var n=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?n=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(n=\"rotateX(\"+this._map.getPitch()+\"deg)\"),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,Ui[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+n+\" \"+e)}},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.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||\"auto\",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Gi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Zi=0,Yi=!1,Wi=function(e){function n(r){e.call(this),this.options=t.extend({},Gi,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_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){return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==Hi?n(Hi):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){Hi=\"denied\"!==t.state,n(Hi)})):(Hi=!!t.window.navigator.geolocation,n(Hi)),this._container;var n},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(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Zi=0,Yi=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){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\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();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(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){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\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&Yi)return;this._setErrorState()}\"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;if(this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",!1===e){t.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var i=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}else{var a=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}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 qi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new qi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(function(e){var r=e.originalEvent&&\"resize\"===e.originalEvent.type;e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||r||(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\")))}))},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\":Zi--,Yi=!1,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\")}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),++Zi>1?(e={maximumAge:6e5,timeout:0},Yi=!0):(e=this.options.positionOptions,Yi=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}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),Xi={maxWidth:100,unit:\"metric\"},Ji=function(e){this.options=t.extend({},Xi,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Ki(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;l>5280?$i(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\")):$i(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else r&&\"nautical\"===r.unit?$i(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?$i(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):$i(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function $i(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(\"\"+Math.floor(i)).length-1))*((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;t.style.width=e*l+\"px\",t.innerHTML=s+\"&nbsp;\"+n}Ji.prototype.getDefaultPosition=function(){return\"bottom-left\"},Ji.prototype._onMove=function(){Ki(this._map,this._container,this.options)},Ji.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},Ji.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Ji.prototype.setUnit=function(t){this.options.unit=t,Ki(this._map,this._container,this.options)};var Qi=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\")};Qi.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},Qi.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Qi.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Qi.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Qi.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},Qi.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},Qi.prototype._isFullscreen=function(){return this._fullscreen},Qi.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(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},Qi.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 ta={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},ea=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(ta),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&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(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),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._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&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&&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.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},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._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(t){var e=this,n=this._lngLat||this._trackPointer;if(this._map&&n&&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 e._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),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=ji(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||t)){var i=this._pos=this._trackPointer&&t?t:this._map.project(this._lngLat),a=this.options.anchor,o=ra(this.options.offset);if(!a){var s,l=this._container.offsetWidth,u=this._container.offsetHeight;s=i.y+o.bottom.y<u?[\"top\"]:i.y>this._map.transform.height-u?[\"bottom\"]:[],i.x<l/2?s.push(\"left\"):i.x>this._map.transform.width-l/2&&s.push(\"right\"),a=0===s.length?\"bottom\":s.join(\"-\")}var c=i.add(o[a]).round();r.setTransform(this._container,Ui[a]+\" translate(\"+c.x+\"px,\"+c.y+\"px)\"),Vi(this._container,a,\"popup\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);function ra(e){if(e){if(\"number\"==typeof e){var r=Math.round(Math.sqrt(.5*Math.pow(e,2)));return{center:new t.Point(0,0),top:new t.Point(0,e),\"top-left\":new t.Point(r,r),\"top-right\":new t.Point(-r,r),bottom:new t.Point(0,-e),\"bottom-left\":new t.Point(r,-r),\"bottom-right\":new t.Point(-r,-r),left:new t.Point(e,0),right:new t.Point(-e,0)}}if(e instanceof t.Point||Array.isArray(e)){var n=t.Point.convert(e);return{center:n,top:n,\"top-left\":n,\"top-right\":n,bottom:n,\"bottom-left\":n,\"bottom-right\":n,left:n,right:n}}return{center:t.Point.convert(e.center||[0,0]),top:t.Point.convert(e.top||[0,0]),\"top-left\":t.Point.convert(e[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(e[\"top-right\"]||[0,0]),bottom:t.Point.convert(e.bottom||[0,0]),\"bottom-left\":t.Point.convert(e[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(e[\"bottom-right\"]||[0,0]),left:t.Point.convert(e.left||[0,0]),right:t.Point.convert(e.right||[0,0])}}return ra(new t.Point(0,0))}var na={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:zi,NavigationControl:Bi,GeolocateControl:Wi,AttributionControl:Mi,ScaleControl:Ji,FullscreenControl:Qi,Popup:ea,Marker:qi,Style:Ye,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){jt().acquire(Rt)},clearPrewarmedResources:function(){var t=Bt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(Rt),Bt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. 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e=[u(t.region,!1)];c.push(e);for(var r=0;r<t.children.length;r++)e.push(h(t.children[r]))}function h(t){for(var e=0;e<t.children.length;e++)f(t.children[e]);return u(t.region,!0)}for(s=0;s<a.children.length;s++)f(a.children[s]);return c.length<=0?{type:\"Polygon\",coordinates:[]}:1==c.length?{type:\"Polygon\",coordinates:c[0]}:{type:\"MultiPolygon\",coordinates:c}}};t.exports=e},87263:function(t,e,r){var n=r(26859);t.exports=function(t,e,r){function i(t,e,n){return{id:r?r.segmentId():-1,start:t,end:e,myFill:{above:n.myFill.above,below:n.myFill.below},otherFill:null}}var a=n.create();function o(t,r){a.insertBefore(t,(function(n){return i=t.isStart,a=t.pt,o=r,s=n.isStart,l=n.pt,u=n.other.pt,(0!==(c=e.pointsCompare(a,l))?c:e.pointsSame(o,u)?0:i!==s?i?1:-1:e.pointAboveOrOnLine(o,s?l:u,s?u:l)?1:-1)<0;var i,a,o,s,l,u,c}))}function s(t,e){var r=function(t,e){var r=n.node({isStart:!0,pt:t.start,seg:t,primary:e,other:null,status:null});return o(r,t.end),r}(t,e);return function(t,e,r){var i=n.node({isStart:!1,pt:e.end,seg:e,primary:r,other:t,status:null});t.other=i,o(i,t.pt)}(r,t,e),r}function l(t,e){var n=i(e,t.seg.end,t.seg);return function(t,e){r&&r.segmentChop(t.seg,e),t.other.remove(),t.seg.end=e,t.other.pt=e,o(t.other,t.pt)}(t,e),s(n,t.primary)}function u(i,o){var s=n.create();function u(t){return s.findTransition((function(r){var n,i,a,o,s,l;return n=t,i=r.ev,a=n.seg.start,o=n.seg.end,s=i.seg.start,l=i.seg.end,(e.pointsCollinear(a,s,l)?e.pointsCollinear(o,s,l)||e.pointAboveOrOnLine(o,s,l)?1:-1:e.pointAboveOrOnLine(a,s,l)?1:-1)>0}))}function c(t,n){var i=t.seg,a=n.seg,o=i.start,s=i.end,u=a.start,c=a.end;r&&r.checkIntersection(i,a);var f=e.linesIntersect(o,s,u,c);if(!1===f){if(!e.pointsCollinear(o,s,u))return!1;if(e.pointsSame(o,c)||e.pointsSame(s,u))return!1;var h=e.pointsSame(o,u),p=e.pointsSame(s,c);if(h&&p)return n;var d=!h&&e.pointBetween(o,u,c),v=!p&&e.pointBetween(s,u,c);if(h)return v?l(n,s):l(t,c),n;d&&(p||(v?l(n,s):l(t,c)),l(n,o))}else 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a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],u=o[0],c=o[1];e.pointsCollinear(l,s,u)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,u,c)&&(r&&r.chainRemoveHead(i,u),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},55968:function(t){function e(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var r={union:function(t,r){return e(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],r)},intersect:function(t,r){return e(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],r)},difference:function(t,r){return e(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],r)},differenceRev:function(t,r){return e(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],r)},xor:function(t,r){return e(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],r)}};t.exports=r},14847:function(t,e,r){\"use 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t&&(t=x[t]),null!=t&&t&&t.count&&t.color&&t.opacity&&t.positions&&t.positions.length>1&&(t.scaleRatio=[t.scale[0]*t.viewport.width,t.scale[1]*t.viewport.height],r(t),t.after&&t.after(t))}function T(t){if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var e=0,r=0;if(b.groups=x=t.map((function(t,u){var c=x[u];return t?(\"function\"==typeof t?t={after:t}:\"number\"==typeof t[0]&&(t={positions:t}),t=o(t,{color:\"color colors fill\",capSize:\"capSize cap capsize cap-size\",lineWidth:\"lineWidth line-width width line thickness\",opacity:\"opacity alpha\",range:\"range dataBox\",viewport:\"viewport viewBox\",errors:\"errors error\",positions:\"positions position data points\"}),c||(x[u]=c={id:u,scale:null,translate:null,scaleFract:null,translateFract:null,draw:!0},t=s({},m,t)),a(c,t,[{lineWidth:function(t){return.5*+t},capSize:function(t){return.5*+t},opacity:parseFloat,errors:function(t){return t=l(t),r+=t.length,t},positions:function(t,r){return t=l(t,\"float64\"),r.count=Math.floor(t.length/2),r.bounds=n(t,2),r.offset=e,e+=r.count,t}},{color:function(t,e){var r=e.count;if(t||(t=\"transparent\"),!Array.isArray(t)||\"number\"==typeof t[0]){var n=t;t=Array(r);for(var a=0;a<r;a++)t[a]=n}if(t.length<r)throw Error(\"Not enough colors\");for(var o=new Uint8Array(4*r),s=0;s<r;s++){var l=i(t[s],\"uint8\");o.set(l,4*s)}return o},range:function(t,e,r){var n=e.bounds;return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=f(e.scale),e.translateFract=f(e.translate),t},viewport:function(t){var e;return Array.isArray(t)?e={x:t[0],y:t[1],width:t[2]-t[0],height:t[3]-t[1]}:t?(e={x:t.x||t.left||0,y:t.y||t.top||0},t.right?e.width=t.right-e.x:e.width=t.w||t.width||0,t.bottom?e.height=t.bottom-e.y:e.height=t.h||t.height||0):e={x:0,y:0,width:y.drawingBufferWidth,height:y.drawingBufferHeight},e}}]),c):c})),e||r){var h=x.reduce((function(t,e,r){return t+(e?e.count:0)}),0),g=new Float64Array(2*h),_=new Uint8Array(4*h),w=new Float32Array(4*h);x.forEach((function(t,e){if(t){var r=t.positions,n=t.count,i=t.offset,a=t.color,o=t.errors;n&&(_.set(a,4*i),w.set(o,4*i),g.set(r,2*i))}}));var T=c(g);u(T);var k=f(g,T);p(k),d(_),v(w)}}}function k(){u.destroy(),p.destroy(),d.destroy(),v.destroy(),g.destroy()}};var h=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]]},46075:function(t,e,r){\"use strict\";var n=r(25075),i=r(21527),a=r(56131),o=r(56068),s=r(71299),l=r(30120),u=r(11474),c=r(54),f=r(57060),h=f.float32,p=f.fract32,d=r(83522),v=r(18863),g=r(6851);function y(t,e){if(!(this instanceof y))return new y(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=y.shaders.has(t)?y.shaders.get(t):y.shaders.set(t,y.createShaders(t)).get(t),this.update(e)}t.exports=y,y.dashMult=2,y.maxPatternLength=256,y.precisionThreshold=3e6,y.maxPoints=1e4,y.maxLines=2048,y.shaders=new d,y.createShaders=function(t){var e,r=t.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),n={primitive:\"triangle strip\",instances:t.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\"round\"===e.join?2:1},miterLimit:t.prop(\"miterLimit\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),thickness:t.prop(\"thickness\"),dashTexture:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashLength:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},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 alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},i=t(a({vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\nattribute vec4 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 float dashLength, pixelRatio, thickness, opacity, id;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, 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 float dashLength, pixelRatio, thickness, opacity, id, miterMode;\\nuniform sampler2D dashTexture;\\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) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * 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main() {\\n\\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\\n\\n\\tvec2 position = position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n\\tfragColor.a *= opacity;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n\\tgl_FragColor = 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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>y.precisionThreshold||e.scale[1]*e.viewport.height>y.precisionThreshold||\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=y.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},y.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,f){var d=e.passes[f];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 linejoin 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Uint8Array})},t=a({},y.defaults,t)),null!=t.thickness&&(d.thickness=parseFloat(t.thickness)),null!=t.opacity&&(d.opacity=parseFloat(t.opacity)),null!=t.miterLimit&&(d.miterLimit=parseFloat(t.miterLimit)),null!=t.overlay&&(d.overlay=!!t.overlay,f<y.maxLines&&(d.depth=2*(y.maxLines-1-f%y.maxLines)/y.maxLines-1)),null!=t.join&&(d.join=t.join),null!=t.hole&&(d.hole=t.hole),null!=t.fill&&(d.fill=t.fill?n(t.fill,\"uint8\"):null),null!=t.viewport&&(d.viewport=v(t.viewport)),d.viewport||(d.viewport=v([o.drawingBufferWidth,o.drawingBufferHeight])),null!=t.close&&(d.close=t.close),null===t.positions&&(t.positions=[]),t.positions){var m,x;if(t.positions.x&&t.positions.y){var b=t.positions.x,_=t.positions.y;x=d.count=Math.max(b.length,_.length),m=new Float64Array(2*x);for(var w=0;w<x;w++)m[2*w]=b[w],m[2*w+1]=_[w]}else m=l(t.positions,\"float64\"),x=d.count=Math.floor(m.length/2);var T=d.bounds=i(m,2);if(d.fill){for(var k=[],A={},M=0,S=0,E=0,L=d.count;S<L;S++){var C=m[2*S],P=m[2*S+1];isNaN(C)||isNaN(P)||null==C||null==P?(C=m[2*M],P=m[2*M+1],A[S]=M):M=S,k[E++]=C,k[E++]=P}if(t.splitNull){d.count-1 in A||(A[d.count]=d.count-1);var O=Object.keys(A).map(Number).sort((function(t,e){return t-e})),I=[],D=0,z=null!=d.hole?d.hole[0]:null;if(null!=z){var R=g(O,(function(t){return t>=z}));(O=O.slice(0,R)).push(z)}for(var F=function(t){var e=k.slice(2*D,2*O[t]).concat(z?k.slice(2*z):[]),r=(d.hole||[]).map((function(e){return e-z+(O[t]-D)})),n=u(e,r);n=n.map((function(e){return e+D+(e+D<O[t]?0:z-O[t])})),I.push.apply(I,n),D=O[t]+1},B=0;B<O.length;B++)F(B);for(var N=0,j=I.length;N<j;N++)null!=A[I[N]]&&(I[N]=A[I[N]]);d.triangles=I}else{for(var U=u(k,d.hole||[]),V=0,H=U.length;V<H;V++)null!=A[U[V]]&&(U[V]=A[U[V]]);d.triangles=U}}var q=new Float64Array(m);c(q,2,T);var G=new Float64Array(2*x+6);d.close?m[0]===m[2*x-2]&&m[1]===m[2*x-1]?(G[0]=q[2*x-4],G[1]=q[2*x-3]):(G[0]=q[2*x-2],G[1]=q[2*x-1]):(G[0]=q[0],G[1]=q[1]),G.set(q,2),d.close?m[0]===m[2*x-2]&&m[1]===m[2*x-1]?(G[2*x+2]=q[2],G[2*x+3]=q[3],d.count-=1):(G[2*x+2]=q[0],G[2*x+3]=q[1],G[2*x+4]=q[2],G[2*x+5]=q[3]):(G[2*x+2]=q[2*x-2],G[2*x+3]=q[2*x-1],G[2*x+4]=q[2*x-2],G[2*x+5]=q[2*x-1]);var Z=h(G);d.positionBuffer(Z);var Y=p(G,Z);d.positionFractBuffer(Y)}if(t.range?d.range=t.range:d.range||(d.range=d.bounds),(t.range||t.positions)&&d.count){var W=d.bounds,X=W[2]-W[0],J=W[3]-W[1],K=d.range[2]-d.range[0],$=d.range[3]-d.range[1];d.scale=[X/K,J/$],d.translate=[-d.range[0]/K+W[0]/K||0,-d.range[1]/$+W[1]/$||0],d.scaleFract=p(d.scale),d.translateFract=p(d.translate)}if(t.dashes){var Q,tt=0;if(!t.dashes||t.dashes.length<2)tt=1,Q=new Uint8Array([255,255,255,255,255,255,255,255]);else{tt=0;for(var et=0;et<t.dashes.length;++et)tt+=t.dashes[et];Q=new Uint8Array(tt*y.dashMult);for(var rt=0,nt=255,it=0;it<2;it++)for(var at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*y.dashMult*.5;ot<st;++ot)Q[rt++]=nt;nt^=255}}d.dashLength=tt,d.dashTexture({channels:1,data:Q,width:Q.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var lt=d.count,ut=t.color;ut||(ut=\"transparent\");var ct=new Uint8Array(4*lt+4);if(Array.isArray(ut)&&\"number\"!=typeof ut[0]){for(var ft=0;ft<lt;ft++){var ht=n(ut[ft],\"uint8\");ct.set(ht,4*ft)}ct.set(n(ut[0],\"uint8\"),4*lt)}else for(var pt=n(ut,\"uint8\"),dt=0;dt<lt+1;dt++)ct.set(pt,4*dt);d.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:ct})}}else e.passes[f]=null})),t.length<this.passes.length){for(var f=t.length;f<this.passes.length;f++){var d=this.passes[f];d&&(d.colorBuffer.destroy(),d.positionBuffer.destroy(),d.dashTexture.destroy())}this.passes.length=t.length}for(var m=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&m.push(this.passes[x]);return this.passes=m,this}},y.prototype.destroy=function(){return this.passes.forEach((function(t){t.colorBuffer.destroy(),t.positionBuffer.destroy(),t.dashTexture.destroy()})),this.passes.length=0,this}},11870:function(t,e,r){\"use strict\";function n(t,e){return function(t){if(Array.isArray(t))return t}(t)||function(t,e){var r=null==t?null:\"undefined\"!=typeof Symbol&&t[Symbol.iterator]||t[\"@@iterator\"];if(null!=r){var n,i,a,o,s=[],l=!0,u=!1;try{if(a=(r=r.call(t)).next,0===e){if(Object(r)!==r)return;l=!1}else for(;!(l=(n=a.call(r)).done)&&(s.push(n.value),s.length!==e);l=!0);}catch(t){u=!0,i=t}finally{try{if(!l&&null!=r.return&&(o=r.return(),Object(o)!==o))return}finally{if(u)throw i}}return s}}(t,e)||i(t,e)||function(){throw new TypeError(\"Invalid attempt to destructure non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}()}function i(t,e){if(t){if(\"string\"==typeof t)return a(t,e);var r=Object.prototype.toString.call(t).slice(8,-1);return\"Object\"===r&&t.constructor&&(r=t.constructor.name),\"Map\"===r||\"Set\"===r?Array.from(t):\"Arguments\"===r||/^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(r)?a(t,e):void 0}}function a(t,e){(null==e||e>t.length)&&(e=t.length);for(var r=0,n=new Array(e);r<e;r++)n[r]=t[r];return n}var o=r(25075),s=r(21527),l=r(6475),u=r(88294),c=r(56131),f=r(56068),h=r(71299),p=r(93447),d=r(30120),v=r(62683),g=r(57060),y=r(18863),m=x;function x(t,e){var r=this;if(!(this instanceof x))return new x(t,e);\"function\"==typeof t?(e||(e={}),e.regl=t):(e=t,t=null),e&&e.length&&(e.positions=e);var n,i=(t=e.regl)._gl,a=[];this.tooManyColors=v,n=t.texture({data:new Uint8Array(1020),width:255,height:1,type:\"uint8\",format:\"rgba\",wrapS:\"clamp\",wrapT:\"clamp\",mag:\"nearest\",min:\"nearest\"}),c(this,{regl:t,gl:i,groups:[],markerCache:[null],markerTextures:[null],palette:a,paletteIds:{},paletteTexture:n,maxColors:255,maxSize:100,canvas:i.canvas}),this.update(e);var o={uniforms:{constPointSize:!!e.constPointSize,opacity:t.prop(\"opacity\"),paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},pixelRatio:t.context(\"pixelRatio\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translate:t.prop(\"translate\"),translateFract:t.prop(\"translateFract\"),markerTexture:t.prop(\"markerTexture\"),paletteTexture:n},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return e.yAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:4}},size:function(t,e){return e.size.length?{buffer:e.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(255*e.size/r.maxSize)]}},borderSize:function(t,e){return e.borderSize.length?{buffer:e.sizeBuffer,stride:2,offset:1}:{constant:[Math.round(255*e.borderSize/r.maxSize)]}},colorId:function(t,e){return e.color.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:0}:{constant:r.tooManyColors?a.slice(4*e.color,4*e.color+4):[e.color]}},borderColorId:function(t,e){return e.borderColor.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:r.tooManyColors?4:2}:{constant:r.tooManyColors?a.slice(4*e.borderColor,4*e.borderColor+4):[e.borderColor]}},isActive:function(t,e){return!0===e.activation?{constant:[1]}:e.activation?e.activation:{constant:[0]}}},blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\"),stencil:{enable:!1},depth:{enable:!1},elements:t.prop(\"elements\"),count:t.prop(\"count\"),offset:t.prop(\"offset\"),primitive:\"points\"},s=c({},o);s.frag=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float opacity;\\nuniform sampler2D markerTexture;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat smoothStep(float x, float y) {\\n  return 1.0 / (1.0 + exp(50.0*(x - y)));\\n}\\n\\nvoid main() {\\n  float dist = texture2D(markerTexture, gl_PointCoord).r, delta = fragWidth;\\n\\n  // max-distance alpha\\n  if (dist < 0.003) discard;\\n\\n  // null-border case\\n  if (fragBorderColorLevel == fragColorLevel || fragBorderColor.a == 0.) {\\n    float colorAmt = smoothstep(.5 - delta, .5 + delta, dist);\\n    gl_FragColor = vec4(fragColor.rgb, colorAmt * fragColor.a * opacity);\\n  }\\n  else {\\n    float borderColorAmt = smoothstep(fragBorderColorLevel - delta, fragBorderColorLevel + delta, dist);\\n    float colorAmt = smoothstep(fragColorLevel - delta, fragColorLevel + delta, dist);\\n\\n    vec4 color = fragBorderColor;\\n    color.a *= borderColorAmt;\\n    color = mix(color, fragColor, colorAmt);\\n    color.a *= opacity;\\n\\n    gl_FragColor = color;\\n  }\\n\\n}\\n\"]),s.vert=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\nconst float borderLevel = .5;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = 2. * size * pointSizeScale;\\n  fragPointSize = size * pixelRatio;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\"]),this.drawMarker=t(s);var l=c({},o);l.frag=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nuniform float opacity;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 paletteSize, scale, scaleFract, translate, translateFract;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pointSizeScale;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"]),v&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}x.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},x.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},x.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},x.prototype.drawItem=function(t,e){var r,n=this.groups,o=n[t];if(\"number\"==typeof e&&(t=e,o=n[e],e=null),o&&o.count&&o.opacity){o.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,o,e));for(var s=[],l=1;l<o.activation.length;l++)o.activation[l]&&(!0===o.activation[l]||o.activation[l].data.length)&&s.push.apply(s,function(t){if(Array.isArray(t))return a(t)}(r=this.getMarkerDrawOptions(l,o,e))||function(t){if(\"undefined\"!=typeof Symbol&&null!=t[Symbol.iterator]||null!=t[\"@@iterator\"])return Array.from(t)}(r)||i(r)||function(){throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}());s.length&&this.drawMarker(s)}},x.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,u=e.count;if(this.regl,!a)return r?[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var f=[],h=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(u),v=0;v<r.length;v++){var g=r[v];d[g]=p?p[g]:1}l.subdata(d)}for(var y=h.length;y--;){var m=n(h[y],2),x=m[0],b=m[1];f.push(c({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return f},x.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,l=this.maxSize,f=this.maxColors,v=this.palette;this.groups=i=r.map((function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:\"function\"==typeof e?e={ondraw:e}:\"number\"==typeof e[0]&&(e={positions:e}),null===(e=h(e,{positions:\"positions data points\",snap:\"snap cluster lod tree\",size:\"sizes size radius\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",color:\"colors color fill fill-color fillColor\",borderColor:\"borderColors borderColor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range dataBox databox\",viewport:\"viewport viewPort viewBox viewbox\",opacity:\"opacity alpha transparency\",bounds:\"bound bounds boundaries limits\",tooManyColors:\"tooManyColors palette paletteMode optimizePalette enablePalette\"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(i[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:\"stream\",type:\"uint8\"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"})},e=c({},x.defaults,e)),e.positions&&!(\"marker\"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!(\"positions\"in e)&&(e.positions=n.positions,delete n.positions);var m=0,b=0;if(p(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=x.defaults.size),m+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=x.defaults.borderSize),m+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=x.defaults.color),e=t.updateColor(e),b++,e},borderColor:function(e,r){return null==e&&(e=x.defaults.borderColor),e=t.updateColor(e),b++,e},bounds:function(t,e,r){return\"range\"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,i=e.positionBuffer,a=e.positionFractBuffer,l=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=d(t,\"float64\");var c=e.count=Math.floor(t.length/2),f=e.bounds=c?s(t,2):null;if(r.range||e.range||(delete e.range,r.range=f),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||c>n)?e.tree=u(t,{bounds:f}):n&&n.length&&(e.tree=n),e.tree){var h={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(h):e.elements=o.elements(h)}var p=g.float32(t);return i({data:p,usage:\"dynamic\"}),a({data:g.fract32(t,p),usage:\"dynamic\"}),l({data:new Uint8Array(c),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var i=r.activation;if(i.forEach((function(t){return t&&t.destroy&&t.destroy()})),i.length=0,e&&\"number\"!=typeof e[0]){for(var a=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var u=t.addMarker(e[s]);a[u]||(a[u]=new Uint8Array(r.count)),a[u][s]=1}for(var c=0;c<a.length;c++)if(a[c]){var f={data:a[c],type:\"uint8\",usage:\"static\"};i[c]?i[c](f):i[c]=o.buffer(f),i[c].data=a[c]}}else i[t.addMarker(e)]=!0;return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=g.fract(e.scale),e.translateFract=g.fract(e.translate),t},viewport:function(t){return y(t||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),m){var _=n,w=_.count,T=_.size,k=_.borderSize,A=_.sizeBuffer,M=new Uint8Array(2*w);if(T.length||k.length)for(var S=0;S<w;S++)M[2*S]=Math.round(255*(null==T[S]?T:T[S])/l),M[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/l);A({data:M,usage:\"dynamic\"})}if(b){var E,L=n,C=L.count,P=L.color,O=L.borderColor,I=L.colorBuffer;if(t.tooManyColors){if(P.length||O.length){E=new Uint8Array(8*C);for(var D=0;D<C;D++){var z=P[D];E[8*D]=v[4*z],E[8*D+1]=v[4*z+1],E[8*D+2]=v[4*z+2],E[8*D+3]=v[4*z+3];var R=O[D];E[8*D+4]=v[4*R],E[8*D+5]=v[4*R+1],E[8*D+6]=v[4*R+2],E[8*D+7]=v[4*R+3]}}}else if(P.length||O.length){E=new Uint8Array(4*C+2);for(var F=0;F<C;F++)null!=P[F]&&(E[4*F]=P[F]%f,E[4*F+1]=Math.floor(P[F]/f)),null!=O[F]&&(E[4*F+2]=O[F]%f,E[4*F+3]=Math.floor(O[F]/f))}I({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return n}))}},x.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,i=this.markerCache,a=null==t?0:i.indexOf(t);if(a>=0)return a;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return a=r.length,i.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:\"linear\",min:\"linear\"})),a},x.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var i=[];if(\"number\"==typeof t[0]){var a=[];if(Array.isArray(t))for(var s=0;s<t.length;s+=4)a.push(t.slice(s,s+4));else for(var u=0;u<t.length;u+=4)a.push(t.subarray(u,u+4));t=a}for(var c=0;c<t.length;c++){var f=t[c];f=o(f,\"uint8\");var h=l(f,!1);if(null==e[h]){var p=r.length;e[h]=Math.floor(p/4),r[p]=f[0],r[p+1]=f[1],r[p+2]=f[2],r[p+3]=f[3]}i[c]=e[h]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===i.length?i[0]:i},x.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var i=.25*(t=t.slice()).length%e;i<n*e;i++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},x.prototype.destroy=function(){return this.groups.forEach((function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach((function(t){return t&&t.destroy&&t.destroy()})),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()})),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach((function(t){return t&&t.destroy&&t.destroy()})),this};var b=r(56131);t.exports=function(t,e){var r=new m(t,e),n=r.render.bind(r);return b(n,{render:n,update:r.update.bind(r),draw:r.draw.bind(r),destroy:r.destroy.bind(r),regl:r.regl,gl:r.gl,canvas:r.gl.canvas,groups:r.groups,markers:r.markerCache,palette:r.palette}),n}},60487:function(t,e,r){\"use strict\";var n=r(11870),i=r(71299),a=r(21527),o=r(5877),s=r(57471),l=r(18863),u=r(30120);function c(t,e){if(!(this instanceof c))return new c(t,e);this.traces=[],this.passes={},this.regl=t,this.scatter=n(t),this.canvas=this.scatter.canvas}function f(t,e,r){return(null!=t.id?t.id:t)<<16|(255&e)<<8|255&r}function h(t,e,r){var n,i,a,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],i=s[3]):s.length?(n=s[0],i=s[1]):(s.x,n=s.y,s.x,s.width,i=s.y+s.height),l.length>2?(a=l[0],o=l[2],l[1],l[3]):l.length?(a=l[0],o=l[1]):(a=l.x,l.y,o=l.x+l.width,l.y,l.height),[a,n,o,i]}function p(t){if(\"number\"==typeof t)return[t,t,t,t];if(2===t.length)return[t[0],t[1],t[0],t[1]];var e=l(t);return[e.x,e.y,e.x+e.width,e.y+e.height]}t.exports=c,c.prototype.render=function(){for(var t,e=this,r=[],n=arguments.length;n--;)r[n]=arguments[n];return r.length&&(t=this).update.apply(t,r),this.regl.attributes.preserveDrawingBuffer?this.draw():(this.dirty?null==this.planned&&(this.planned=o((function(){e.draw(),e.dirty=!0,e.planned=null}))):(this.draw(),this.dirty=!0,o((function(){e.dirty=!1}))),this)},c.prototype.update=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=0;n<e.length;n++)this.updateItem(n,e[n]);this.traces=this.traces.filter(Boolean);for(var i=[],a=0,o=0;o<this.traces.length;o++){for(var s=this.traces[o],l=this.traces[o].passes,u=0;u<l.length;u++)i.push(this.passes[l[u]]);s.passOffset=a,a+=s.passes.length}return(t=this.scatter).update.apply(t,i),this}},c.prototype.updateItem=function(t,e){var r=this.regl;if(null===e)return this.traces[t]=null,this;if(!e)return this;var n,o=i(e,{data:\"data items columns rows values dimensions samples x\",snap:\"snap cluster\",size:\"sizes size radius\",color:\"colors color fill fill-color fillColor\",opacity:\"opacity alpha transparency 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Uint8Array}),color:\"black\",marker:null,size:12,borderColor:\"transparent\",borderSize:1,viewport:l([r._gl.drawingBufferWidth,r._gl.drawingBufferHeight]),padding:[0,0,0,0],opacity:1,diagonal:!0,upper:!0,lower:!0});if(null!=o.color&&(s.color=o.color),null!=o.size&&(s.size=o.size),null!=o.marker&&(s.marker=o.marker),null!=o.borderColor&&(s.borderColor=o.borderColor),null!=o.borderSize&&(s.borderSize=o.borderSize),null!=o.opacity&&(s.opacity=o.opacity),o.viewport&&(s.viewport=l(o.viewport)),null!=o.diagonal&&(s.diagonal=o.diagonal),null!=o.upper&&(s.upper=o.upper),null!=o.lower&&(s.lower=o.lower),o.data){s.buffer(u(o.data)),s.columns=o.data.length,s.count=o.data[0].length,s.bounds=[];for(var c=0;c<s.columns;c++)s.bounds[c]=a(o.data[c],1)}o.range&&(s.range=o.range,n=s.range&&\"number\"!=typeof s.range[0]),o.domain&&(s.domain=o.domain);var d=!1;null!=o.padding&&(Array.isArray(o.padding)&&o.padding.length===s.columns&&\"number\"==typeof o.padding[o.padding.length-1]?(s.padding=o.padding.map(p),d=!0):s.padding=p(o.padding));var v=s.columns,g=s.count,y=s.viewport.width,m=s.viewport.height,x=s.viewport.x,b=s.viewport.y,_=y/v,w=m/v;s.passes=[];for(var T=0;T<v;T++)for(var k=0;k<v;k++)if((s.diagonal||k!==T)&&(s.upper||!(T>k))&&(s.lower||!(T<k))){var A=f(s.id,T,k),M=this.passes[A]||(this.passes[A]={});if(o.data&&(o.transpose?M.positions={x:{buffer:s.buffer,offset:k,count:g,stride:v},y:{buffer:s.buffer,offset:T,count:g,stride:v}}:M.positions={x:{buffer:s.buffer,offset:k*g,count:g},y:{buffer:s.buffer,offset:T*g,count:g}},M.bounds=h(s.bounds,T,k)),o.domain||o.viewport||o.data){var S=d?h(s.padding,T,k):s.padding;if(s.domain){var E=h(s.domain,T,k),L=E[0],C=E[1],P=E[2],O=E[3];M.viewport=[x+L*y+S[0],b+C*m+S[1],x+P*y-S[2],b+O*m-S[3]]}else M.viewport=[x+k*_+_*S[0],b+T*w+w*S[1],x+(k+1)*_-_*S[2],b+(T+1)*w-w*S[3]]}o.color&&(M.color=s.color),o.size&&(M.size=s.size),o.marker&&(M.marker=s.marker),o.borderSize&&(M.borderSize=s.borderSize),o.borderColor&&(M.borderColor=s.borderColor),o.opacity&&(M.opacity=s.opacity),o.range&&(M.range=n?h(s.range,T,k):s.range||M.bounds),s.passes.push(A)}return this},c.prototype.draw=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=[],i=0;i<e.length;i++)if(\"number\"==typeof e[i]){var a=this.traces[e[i]],o=a.passes,l=a.passOffset;n.push.apply(n,s(l,l+o.length))}else if(e[i].length){var u=e[i],c=this.traces[i],f=c.passes,h=c.passOffset;f=f.map((function(t,e){n[h+e]=u}))}(t=this.scatter).draw.apply(t,n)}else this.scatter.draw();return this},c.prototype.destroy=function(){return this.traces.forEach((function(t){t.buffer&&t.buffer.destroy&&t.buffer.destroy()})),this.traces=null,this.passes=null,this.scatter.destroy(),this}},98580:function(t){t.exports=function(){function t(t,e){this.id=Z++,this.type=t,this.data=e}function e(t){if(0===t.length)return[];var r=t.charAt(0),n=t.charAt(t.length-1);if(1<t.length&&r===n&&('\"'===r||\"'\"===r))return['\"'+t.substr(1,t.length-2).replace(/\\\\/g,\"\\\\\\\\\").replace(/\"/g,'\\\\\"')+'\"'];if(r=/\\[(false|true|null|\\d+|'[^']*'|\"[^\"]*\")\\]/.exec(t))return e(t.substr(0,r.index)).concat(e(r[1])).concat(e(t.substr(r.index+r[0].length)));if(1===(r=t.split(\".\")).length)return['\"'+t.replace(/\\\\/g,\"\\\\\\\\\").replace(/\"/g,'\\\\\"')+'\"'];for(t=[],n=0;n<r.length;++n)t=t.concat(e(r[n]));return t}function r(t){return\"[\"+e(t).join(\"][\")+\"]\"}function n(t){return\"string\"==typeof t?t.split():t}function i(t){return\"string\"==typeof t?document.querySelector(t):t}function a(t){var e,r,a,o,s=t||{};t={};var 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e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=a},37715:function(t,e,r){var n=r(63489),i=r(56131);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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n=r(56131);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(u.local.invalidDate||u.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(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(u.local.differentCalendars||u.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+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,u.local.invalidDate||u.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,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);i=t.day(),\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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n=this.newDate(t,e,r);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);t=n.year(),e=n.month(),r=n.day(),t<0&&t++,e<3&&(e+=12,t--);var i=Math.floor(t/100),a=2-i+Math.floor(i/4);return Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r+a-1524.5},fromJD:function(t){var e=Math.floor(t+.5),r=Math.floor((e-1867216.25)/36524.25),n=1524+(r=e+1+r-Math.floor(r/4)),i=Math.floor((n-122.1)/365.25),a=Math.floor(365.25*i),o=Math.floor((n-a)/30.6001),s=n-a-Math.floor(30.6001*o),l=o-(o>13.5?13:1),u=i-(l>2.5?4716:4715);return u<=0&&u--,this.newDate(u,l,s)},toJSDate:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),i=new Date(n.year(),n.month()-1,n.day());return i.setHours(0),i.setMinutes(0),i.setSeconds(0),i.setMilliseconds(0),i.setHours(i.getHours()>12?i.getHours()+2:0),i},fromJSDate:function(t){return this.newDate(t.getFullYear(),t.getMonth()+1,t.getDate())}});var u=t.exports=new i;u.cdate=a,u.baseCalendar=s,u.calendars.gregorian=l},94338:function(t,e,r){var n=r(56131),i=r(63489);n(i.regionalOptions[\"\"],{invalidArguments:\"Invalid arguments\",invalidFormat:\"Cannot format a date from another calendar\",missingNumberAt:\"Missing number at position {0}\",unknownNameAt:\"Unknown name at position {0}\",unexpectedLiteralAt:\"Unexpected literal at position {0}\",unexpectedText:\"Additional text found at end\"}),i.local=i.regionalOptions[\"\"],n(i.cdate.prototype,{formatDate:function(t,e){return\"string\"!=typeof 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   ],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Cities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The largest cities have experienced a notable rise in the median base salary year-over-year:\n",
    "\n",
    "| year/city | 2020 | 2021 | 2022  | 2023  |\n",
    "|-----------|------|------|-------|-------|\n",
    "| Berlin    | 70k  | 78k  | 82k   | 89,5k   |\n",
    "| Munich    | 72k  | 78k  | 82,5k | 87k   |\n",
    "| Hamburg   | 64k  | 70k  | 75k   | 86k   |\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Annual leave for full-time employees"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "alignmentgroup": "True",
         "hovertemplate": "Number of vacation days=%{x}<br>Percentage=%{marker.color}<extra></extra>",
         "legendgroup": "",
         "marker": {
          "color": [
           59.7,
           18.6,
           5.7,
           3.9,
           3.9,
           2,
           2,
           1.7,
           1.4,
           1.1
          ],
          "coloraxis": "coloraxis",
          "pattern": {
           "shape": ""
          }
         },
         "name": "",
         "offsetgroup": "",
         "orientation": "v",
         "showlegend": false,
         "text": [
          59.7,
          18.6,
          5.7,
          3.9,
          3.9,
          2,
          2,
          1.7,
          1.4,
          1.1
         ],
         "textposition": "auto",
         "type": "bar",
         "x": [
          "30",
          "28",
          "27",
          "unlimited",
          "25",
          "20",
          "26",
          "24",
          "32",
          "29"
         ],
         "xaxis": "x",
         "y": [
          59.7,
          18.6,
          5.7,
          3.9,
          3.9,
          2,
          2,
          1.7,
          1.4,
          1.1
         ],
         "yaxis": "y"
        }
       ],
       "layout": {
        "autosize": true,
        "barmode": "relative",
        "coloraxis": {
         "colorbar": {
          "title": {
           "text": "Percentage"
          }
         },
         "colorscale": [
          [
           0,
           "rgb(0,0,255)"
          ],
          [
           1,
           "rgb(255,0,0)"
          ]
         ]
        },
        "legend": {
         "tracegroupgap": 0
        },
        "margin": {
         "t": 60
        },
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#f2f5fa"
            },
            "error_y": {
             "color": "#f2f5fa"
            },
            "marker": {
             "line": {
              "color": "rgb(17,17,17)",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "rgb(17,17,17)",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#A2B1C6",
             "gridcolor": "#506784",
             "linecolor": "#506784",
             "minorgridcolor": "#506784",
             "startlinecolor": "#A2B1C6"
            },
            "baxis": {
             "endlinecolor": "#A2B1C6",
             "gridcolor": "#506784",
             "linecolor": "#506784",
             "minorgridcolor": "#506784",
             "startlinecolor": "#A2B1C6"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
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    "Nearly 60% of participants indicated that they have 30 days of vacation."
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   "source": [
    "## Salaries"
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  },
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   "source": [
    "### Employment status"
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    "Self-employed individuals (freelancers) constitute less than 1 percent of the respondents. Consequently, this report will not include a separate analysis for freelancers. Instead, it will focus on analyzing the reasons for unemployment and the success of job searches for individuals impacted by mass layoffs.\n",
    "\n",
    "### Median salaries (EUR/year) per Position\n",
    "#### Full-time employees"
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    "- ~90% of respondents have more than 4 years of work experience in total.\n",
    "- ~41% have 5 to 10 years of overall work experience.\n",
    "- ~44% of the respondents have worked in Germany for less than 4 years.\n",
    "\n",
    "#### Salary by total years of experience"
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",
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    "Here is an age/TC curve for engineers. Last year, salary growth was evident within the first 10 years of an engineer's career, after which salary typically stabilized around the median. This year, a second phase of salary growth has emerged between the 11th and 13th years of experience. Subsequently, the average salary fluctuates slightly above the market median."
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    "### Salary by levels"
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   "source": [
    "The median of base salary of all tech positions is 87k (80k in 2022; 75k in 2021), with bonuses and stocks - 91k (86k in 2022; 80k in 2021)."
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   "source": [
    "#### Total compensation breakdown"
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  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
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         "autorange": true,
         "domain": [
          0,
          1
         ],
         "range": [
          0,
          155.78947368421052
         ],
         "title": {
          "text": "count"
         }
        }
       }
      },
      "image/png": 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    "From senior-level onwards, employees typically become eligible for stock grants as part of their total compensation (TC):\n",
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    "- 40% of respondents above the mid-level receive solely a base salary (primarily seniors), while 60% have TC consisting of base salary, bonuses, and stocks.\n",
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    "- 1.3% have an equal proportion of base salary and stocks in their TC."
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    "### Used technologies\n",
    "Shares of respondents by technologies"
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    "* Python's share has decreased compared to last year, whereas Java and JavaScript have retained their proportional shares. However, this is mainly because Python is still actively utilized but isn't necessarily identified as a primary language; rather, it's often considered as a supplementary language.\n",
    "* Kotlin has surged in ranking, moving from 7th to 4th place.\n",
    "* The rankings of other technologies have remained largely consistent compared to the previous year."
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    "Docker, SQL ans QWS keep leading year over year.\n",
    " \n",
    "#### Salary by Technologies"
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    "Example: Python engineers' median annual base salary is 89,75k (80k last year), while its distribution varies considerably between 30k and 200k."
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    "The same technology-based salary distributions plot of TC.\n",
    "\n",
    "### Base salaries & total compensation YoY\n",
    "#### Distribution of base salaries vs. total compensation "
   ]
  },
  {
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   "source": [
    "The median base salary rose from 75k to 80k to 86.5k, while the median total compensation (TC) increased from 80k to 85k to 92k between 2021 and 2023.\n",
    "\n",
    "#### Salaries in Germany over 2015 – 2023"
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   "source": [
    "There has been a shift in the distribution of base salaries for 2023: it is noticeably skewed towards higher salaries on the right tail compared to the previous year, 2022."
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   "metadata": {},
   "source": [
    "#### TC in big cities"
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",
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    "In the three cities most represented in the survey, the TC distributions are nearly identical: the medians are almost the same, with only a slight difference observed in the right tails of the distributions, but it is insignificant."
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   "metadata": {},
   "source": [
    "## Layoffs 2022-2023\n",
    "### Mass layoffs 2022-2023 vs. hiring 2023 "
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    "The majority of mass layoffs reported by respondents occurred in relatively large companies with staff sizes exceeding 1000 employees. Last year, only 33% of employees in large companies witnessed layoffs, whereas in 2023, this figure increased to 50%. Additionally, the proportion of layoffs in medium-sized companies with staff ranging from 100 to 1000 employees increased from 28% to 44% during 2022-2023."
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    "Among all respondents whose companies experienced mass layoffs (approximately 47% of all surveyed), 5.8% stated that they were among those laid off. Two thirds of them indicated that they were satisfied with the severance package provided by the company, while one thirds expressed dissatisfaction with the offered severance package."
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    "* 40% of the respondents impacted by layoffs have already secured a new job, while the remaining 60% are not actively seeking a new position.\n",
    "* Approximately 20% have transitioned to full/part-time employment, with compensation varying from sometimes worse to sometimes better than their previous situation before the layoff.\n",
    "* Typically, job searches following a layoff take between 3 to 5 months, although there are cases where it extends to as long as 15 months."
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    "## AI-based services"
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    "* 56% of respondents stated that their company incorporates AI-based services into their daily operations.\n",
    "* Of those utilizing AI, 32% of respondents noted a significant impact on their business, while 44% indicated a moderate impact, and 23% reported no discernible impact on their business."
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    "That's all for now. Thank you all for participating! If you enjoyed this survey and found its results helpful in any way, you can show your appreciation by:\n",
    "\n",
    "* buying me a coffee using [this link](https://www.buymeacoffee.com/zuvqukizb),\n",
    "* starring [this repository on GitHub](https://github.com/Ksyula/Salary-report).\n",
    "\n",
    "Also, feel free to connect with me on social media."
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       "<a href= \"https://www.buymeacoffee.com/zuVQUkiZb\" target=\"_blank\">\n",
       "                    <img src=\"../images/buymeacoffee.png\" align=\"center\"/>\n",
       "               </a>\n",
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       "<h5 align = \"left\"> \n",
       "Author: <a href= \"https://www.legostay.com/\" target=\"_blank\"> Ksenia Legostay</a>\n",
       "               <a href= \"https://twitter.com/KseniaLegostay\" target=\"_blank\">\n",
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