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n=w($,J),i=n[0]+t,a=n[1]+r;R.call(u.setTranslate,i,a),S(\"x\",v(y,t,\"x\",T,e)),S(\"y\",v(x,r,\"y\",T,e)),e.axref===e.xref&&S(\"ax\",v(y,t,\"ax\",T,e)),e.ayref===e.yref&&S(\"ay\",v(x,r,\"ay\",T,e)),G.attr(\"transform\",s(t,r)),z.attr({transform:\"rotate(\"+I+\",\"+i+\",\"+a+\")\"})},doneFn:function(){i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}};e.showarrow&&At(0,0),O&&d.init({element:R.node(),gd:t,prepFn:function(){kt=z.attr(\"transform\")},moveFn:function(t,r){var n=\"pointer\";if(e.showarrow)e.axref===e.xref?S(\"ax\",v(y,t,\"ax\",T,e)):S(\"ax\",e.ax+t),e.ayref===e.yref?S(\"ay\",v(x,r,\"ay\",T.w,e)):S(\"ay\",e.ay+r),At(t,r);else{if(a)return;var i,o;if(y)i=v(y,t,\"x\",T,e);else{var l=e._xsize/T.w,c=e.x+(e._xshift-e.xshift)/T.w-l/2;i=d.align(c+t/T.w,l,0,1,e.xanchor)}if(x)o=v(x,r,\"y\",T,e);else{var u=e._ysize/T.h,h=e.y-(e._yshift+e.yshift)/T.h-u/2;o=d.align(h-r/T.h,u,0,1,e.yanchor)}S(\"x\",i),S(\"y\",o),y&&x||(n=d.getCursor(y?.5:i,x?.5:o,e.xanchor,e.yanchor))}z.attr({transform:s(t,r)+kt}),p(R,n)},clickFn:function(r,n){e.captureevents&&t.emit(\"plotly_clickannotation\",Z(n))},doneFn:function(){p(R),i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}}t.exports={draw:function(t){var e=t._fullLayout;e._infolayer.selectAll(\".annotation\").remove();for(var r=0;r=0,x=e.indexOf(\"end\")>=0,_=d.backoff*g+r.standoff,b=m.backoff*y+r.startstandoff;if(\"line\"===p.nodeName){o={x:+t.attr(\"x1\"),y:+t.attr(\"y1\")},u={x:+t.attr(\"x2\"),y:+t.attr(\"y2\")};var w=o.x-u.x,T=o.y-u.y;if(f=(h=Math.atan2(T,w))+Math.PI,_&&b&&_+b>Math.sqrt(w*w+T*T))return void O();if(_){if(_*_>w*w+T*T)return void O();var k=_*Math.cos(h),A=_*Math.sin(h);u.x+=k,u.y+=A,t.attr({x2:u.x,y2:u.y})}if(b){if(b*b>w*w+T*T)return void O();var M=b*Math.cos(h),S=b*Math.sin(h);o.x-=M,o.y-=S,t.attr({x1:o.x,y1:o.y})}}else if(\"path\"===p.nodeName){var E=p.getTotalLength(),C=\"\";if(E<_+b)return void O();var L=p.getPointAtLength(0),I=p.getPointAtLength(.1);h=Math.atan2(L.y-I.y,L.x-I.x),o=p.getPointAtLength(Math.min(b,E)),C=\"0px,\"+b+\"px,\";var P=p.getPointAtLength(E),z=p.getPointAtLength(E-.1);f=Math.atan2(P.y-z.y,P.x-z.x),u=p.getPointAtLength(Math.max(0,E-_)),C+=E-(C?b+_:_)+\"px,\"+E+\"px\",t.style(\"stroke-dasharray\",C)}function O(){t.style(\"stroke-dasharray\",\"0px,100px\")}function D(e,a,o,u){e.path&&(e.noRotate&&(o=0),n.select(p.parentNode).append(\"path\").attr({class:t.attr(\"class\"),d:e.path,transform:c(a.x,a.y)+l(180*o/Math.PI)+s(u)}).style({fill:i.rgb(r.arrowcolor),\"stroke-width\":0}))}v&&D(m,o,h,y),x&&D(d,u,f,g)}},3599:function(t,e,r){\"use strict\";var n=r(3377),i=r(6035);t.exports={moduleType:\"component\",name:\"annotations\",layoutAttributes:r(50222),supplyLayoutDefaults:r(63737),includeBasePlot:r(20706)(\"annotations\"),calcAutorange:r(60317),draw:n.draw,drawOne:n.drawOne,drawRaw:n.drawRaw,hasClickToShow:i.hasClickToShow,onClick:i.onClick,convertCoords:r(59741)}},38239:function(t,e,r){\"use strict\";var n=r(50222),i=r(13582).overrideAll,a=r(78032).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\")},47979:function(t,e,r){\"use strict\";var n=r(34809),i=r(29714);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;r1){c=!0;break}}c?t.fullLayout._infolayer.select(\".annotation-\"+t.id+'[data-index=\"'+s+'\"]').remove():(l._pdata=i(t.glplot.cameraParams,[e.xaxis.r2l(l.x)*r[0],e.yaxis.r2l(l.y)*r[1],e.zaxis.r2l(l.z)*r[2]]),n(t.graphDiv,l,s,t.id,l._xa,l._ya))}}},83348:function(t,e,r){\"use strict\";var n=r(33626),i=r(34809);t.exports={moduleType:\"component\",name:\"annotations3d\",schema:{subplots:{scene:{annotations:r(38239)}}},layoutAttributes:r(38239),handleDefaults:r(34232),includeBasePlot:function(t,e){var r=n.subplotsRegistry.gl3d;if(r)for(var a=r.attrRegex,o=Object.keys(t),s=0;s=0))return t;if(3===o)n[o]>1&&(n[o]=1);else if(n[o]>=1)return t}var s=Math.round(255*n[0])+\", \"+Math.round(255*n[1])+\", \"+Math.round(255*n[2]);return a?\"rgba(\"+s+\", \"+n[3]+\")\":\"rgb(\"+s+\")\"}o.tinyRGB=function(t){var e=t.toRgb();return\"rgb(\"+Math.round(e.r)+\", \"+Math.round(e.g)+\", \"+Math.round(e.b)+\")\"},o.rgb=function(t){return o.tinyRGB(n(t))},o.opacity=function(t){return t?n(t).getAlpha():0},o.addOpacity=function(t,e){var r=n(t).toRgb();return\"rgba(\"+Math.round(r.r)+\", \"+Math.round(r.g)+\", \"+Math.round(r.b)+\", \"+e+\")\"},o.combine=function(t,e){var r=n(t).toRgb();if(1===r.a)return n(t).toRgbString();var i=n(e||c).toRgb(),a=1===i.a?i:{r:255*(1-i.a)+i.r*i.a,g:255*(1-i.a)+i.g*i.a,b:255*(1-i.a)+i.b*i.a},o={r:a.r*(1-r.a)+r.r*r.a,g:a.g*(1-r.a)+r.g*r.a,b:a.b*(1-r.a)+r.b*r.a};return n(o).toRgbString()},o.interpolate=function(t,e,r){var i=n(t).toRgb(),a=n(e).toRgb(),o={r:r*i.r+(1-r)*a.r,g:r*i.g+(1-r)*a.g,b:r*i.b+(1-r)*a.b};return n(o).toRgbString()},o.contrast=function(t,e,r){var i=n(t);return 1!==i.getAlpha()&&(i=n(o.combine(t,c))),(i.isDark()?e?i.lighten(e):c:r?i.darken(r):l).toString()},o.stroke=function(t,e){var r=n(e);t.style({stroke:o.tinyRGB(r),\"stroke-opacity\":r.getAlpha()})},o.fill=function(t,e){var r=n(e);t.style({fill:o.tinyRGB(r),\"fill-opacity\":r.getAlpha()})},o.clean=function(t){if(t&&\"object\"==typeof t){var e,r,n,i,s=Object.keys(t);for(e=0;e0?n>=l:n<=l));i++)n>u&&n0?n>=l:n<=l));i++)n>r[0]&&n1){var pt=Math.pow(10,Math.floor(Math.log(ft)/Math.LN10));ut*=pt*c.roundUp(ft/pt,[2,5,10]),(Math.abs(Z.start)/Z.size+1e-6)%1<2e-6&&(lt.tick0=0)}lt.dtick=ut}lt.domain=o?[ot+P/B.h,ot+Q-P/B.h]:[ot+I/B.w,ot+Q-I/B.w],lt.setScale(),t.attr(\"transform\",u(Math.round(B.l),Math.round(B.t)));var dt,mt=t.select(\".\"+A.cbtitleunshift).attr(\"transform\",u(-Math.round(B.l),-Math.round(B.t))),gt=lt.ticklabelposition,yt=lt.title.font.size,vt=t.select(\".\"+A.cbaxis),xt=0,_t=0;function bt(n,i){var a={propContainer:lt,propName:e._propPrefix+\"title\",traceIndex:e._traceIndex,_meta:e._meta,placeholder:F._dfltTitle.colorbar,containerGroup:t.select(\".\"+A.cbtitle)},o=\"h\"===n.charAt(0)?n.substr(1):\"h\"+n;t.selectAll(\".\"+o+\",.\"+o+\"-math-group\").remove(),m.draw(r,n,h(a,i||{}))}return c.syncOrAsync([a.previousPromises,function(){var t,e;(o&&ct||!o&&!ct)&&(\"top\"===V&&(t=I+B.l+tt*z,e=P+B.t+et*(1-ot-Q)+3+.75*yt),\"bottom\"===V&&(t=I+B.l+tt*z,e=P+B.t+et*(1-ot)-3-.25*yt),\"right\"===V&&(e=P+B.t+et*O+3+.75*yt,t=I+B.l+tt*ot),bt(lt._id+\"title\",{attributes:{x:t,y:e,\"text-anchor\":o?\"start\":\"middle\"}}))},function(){if(!o&&!ct||o&&ct){var a,l=t.select(\".\"+A.cbtitle),h=l.select(\"text\"),f=[-M/2,M/2],d=l.select(\".h\"+lt._id+\"title-math-group\").node(),m=15.6;if(h.node()&&(m=parseInt(h.node().style.fontSize,10)*w),d?(a=p.bBox(d),_t=a.width,(xt=a.height)>m&&(f[1]-=(xt-m)/2)):h.node()&&!h.classed(A.jsPlaceholder)&&(a=p.bBox(h.node()),_t=a.width,xt=a.height),o){if(xt){if(xt+=5,\"top\"===V)lt.domain[1]-=xt/B.h,f[1]*=-1;else{lt.domain[0]+=xt/B.h;var y=g.lineCount(h);f[1]+=(1-y)*m}l.attr(\"transform\",u(f[0],f[1])),lt.setScale()}}else _t&&(\"right\"===V&&(lt.domain[0]+=(_t+yt/2)/B.w),l.attr(\"transform\",u(f[0],f[1])),lt.setScale())}t.selectAll(\".\"+A.cbfills+\",.\"+A.cblines).attr(\"transform\",o?u(0,Math.round(B.h*(1-lt.domain[1]))):u(Math.round(B.w*lt.domain[0]),0)),vt.attr(\"transform\",o?u(0,Math.round(-B.t)):u(Math.round(-B.l),0));var v=t.select(\".\"+A.cbfills).selectAll(\"rect.\"+A.cbfill).attr(\"style\",\"\").data(Y);v.enter().append(\"rect\").classed(A.cbfill,!0).attr(\"style\",\"\"),v.exit().remove();var 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b=rt+$+(M||0)/2-(\"outside\"===e.ticks?1:0),T=s.calcTicks(lt),k=s.getTickSigns(lt)[2];return s.drawTicks(r,lt,{vals:\"inside\"===lt.ticks?s.clipEnds(lt,T):T,layer:vt,path:s.makeTickPath(lt,b,k),transFn:s.makeTransTickFn(lt)}),s.drawLabels(r,lt,{vals:T,layer:vt,transFn:s.makeTransTickLabelFn(lt),labelFns:s.makeLabelFns(lt,b)})},function(){if(o&&!ct||!o&&ct){var t,i,a=lt.position||0,s=lt._offset+lt._length/2;if(\"right\"===V)i=s,t=B.l+tt*a+10+yt*(lt.showticklabels?1:.5);else if(t=s,\"bottom\"===V&&(i=B.t+et*a+10+(-1===gt.indexOf(\"inside\")?lt.tickfont.size:0)+(\"intside\"!==lt.ticks&&e.ticklen||0)),\"top\"===V){var l=U.text.split(\"
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r,n,i,a=[];for(i=0;i0&&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;i1)return!1;if((n+=e.selectedpoints.length)>1)return!1}return 1===n}(s)&&(f=J(b))){for(o&&o.remove(),g=0;g=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=m(r);if(s||l){var c,u,h=o.selectAll(\".select-outline-\"+n.id);h&&i._fullLayout._outlining&&(s&&(c=T(h,t)),c&&a.call(\"_guiRelayout\",i,{shapes:c}),l&&!U(t)&&(u=k(h,t)),u&&(i._fullLayout._noEmitSelectedAtStart=!0,a.call(\"_guiRelayout\",i,{selections:u}).then((function(){e&&A(i)}))),i._fullLayout._outlining=!1)}n.selection={},n.selection.selectionDefs=t.selectionDefs=[],n.selection.mergedPolygons=t.mergedPolygons=[]}function Y(t){return t._id}function X(t,e,r,n){if(!t.calcdata)return[];var i,a,o,s=[],l=e.map(Y),c=r.map(Y);for(o=0;o0?n[0]:r;return!!e.selectedpoints&&e.selectedpoints.indexOf(i)>-1}function K(t,e,r){var n,i;for(n=0;n-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=ct(et);ut([L(t,nt,\"x\"),L(t,pt,\"y\")])(Q,dt)}}t._fullLayout._noEmitSelectedAtStart?t._fullLayout._noEmitSelectedAtStart=!1:tt&&ht(t,Q),f._reselect=!1}if(!a&&f._deselect){var mt=f._deselect;(function(t,e,r){for(var n=0;n=0)k._fullLayout._deactivateShape(k);else if(!x){var r=A.clickmode;C.done(Mt).then((function(){if(C.clear(Mt),2===t){for(_t.remove(),J=0;J-1&&V(e,k,n.xaxes,n.yaxes,n.subplot,n,_t),\"event\"===r&&ht(k,void 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n=r(50222),i=r(80337),a=r(36640).line,o=r(94850).T,s=r(93049).extendFlat,l=r(78032).templatedArray,c=(r(35081),r(9829)),u=r(3208).LF,h=r(41235);t.exports=l(\"shape\",{visible:s({},c.visible,{editType:\"calc+arraydraw\"}),showlegend:{valType:\"boolean\",dflt:!1,editType:\"calc+arraydraw\"},legend:s({},c.legend,{editType:\"calc+arraydraw\"}),legendgroup:s({},c.legendgroup,{editType:\"calc+arraydraw\"}),legendgrouptitle:{text:s({},c.legendgrouptitle.text,{editType:\"calc+arraydraw\"}),font:i({editType:\"calc+arraydraw\"}),editType:\"calc+arraydraw\"},legendrank:s({},c.legendrank,{editType:\"calc+arraydraw\"}),legendwidth:s({},c.legendwidth,{editType:\"calc+arraydraw\"}),type:{valType:\"enumerated\",values:[\"circle\",\"rect\",\"path\",\"line\"],editType:\"calc+arraydraw\"},layer:{valType:\"enumerated\",values:[\"below\",\"above\",\"between\"],dflt:\"above\",editType:\"arraydraw\"},xref:s({},n.xref,{}),xsizemode:{valType:\"enumerated\",values:[\"scaled\",\"pixel\"],dflt:\"scaled\",editType:\"calc+arraydraw\"},xanchor:{valType:\"any\",editType:\"calc+arraydraw\"},x0:{valType:\"any\",editType:\"calc+arraydraw\"},x1:{valType:\"any\",editType:\"calc+arraydraw\"},x0shift:{valType:\"number\",dflt:0,min:-1,max:1,editType:\"calc\"},x1shift:{valType:\"number\",dflt:0,min:-1,max:1,editType:\"calc\"},yref:s({},n.yref,{}),ysizemode:{valType:\"enumerated\",values:[\"scaled\",\"pixel\"],dflt:\"scaled\",editType:\"calc+arraydraw\"},yanchor:{valType:\"any\",editType:\"calc+arraydraw\"},y0:{valType:\"any\",editType:\"calc+arraydraw\"},y1:{valType:\"any\",editType:\"calc+arraydraw\"},y0shift:{valType:\"number\",dflt:0,min:-1,max:1,editType:\"calc\"},y1shift:{valType:\"number\",dflt:0,min:-1,max:1,editType:\"calc\"},path:{valType:\"string\",editType:\"calc+arraydraw\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,editType:\"arraydraw\"},line:{color:s({},a.color,{editType:\"arraydraw\"}),width:s({},a.width,{editType:\"calc+arraydraw\"}),dash:s({},o,{editType:\"arraydraw\"}),editType:\"calc+arraydraw\"},fillcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"arraydraw\"},fillrule:{valType:\"enumerated\",values:[\"evenodd\",\"nonzero\"],dflt:\"evenodd\",editType:\"arraydraw\"},editable:{valType:\"boolean\",dflt:!1,editType:\"calc+arraydraw\"},label:{text:{valType:\"string\",dflt:\"\",editType:\"arraydraw\"},texttemplate:u({},{keys:Object.keys(h)}),font:i({editType:\"calc+arraydraw\",colorEditType:\"arraydraw\"}),textposition:{valType:\"enumerated\",values:[\"top 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r=e._dims,n=r.inputAreaLength-2*h.railInset,i=s.ensureSingle(t,\"rect\",h.railRectClass);i.attr({width:n,height:h.railWidth,rx:h.railRadius,ry:h.railRadius,\"shape-rendering\":\"crispEdges\"}).call(a.stroke,e.bordercolor).call(a.fill,e.bgcolor).style(\"stroke-width\",e.borderwidth+\"px\"),o.setTranslate(i,h.railInset,.5*(r.inputAreaWidth-h.railWidth)+r.currentValueTotalHeight)}t.exports=function(t){var e=t._context.staticPlot,r=t._fullLayout,a=function(t,e){for(var r=t[h.name],n=[],i=0;i0?[0]:[]);function l(e){e._commandObserver&&(e._commandObserver.remove(),delete e._commandObserver),i.autoMargin(t,g(e))}if(s.enter().append(\"g\").classed(h.containerClassName,!0).style(\"cursor\",e?null:\"ew-resize\"),s.exit().each((function(){n.select(this).selectAll(\"g.\"+h.groupClassName).each(l)})).remove(),0!==a.length){var c=s.selectAll(\"g.\"+h.groupClassName).data(a,y);c.enter().append(\"g\").classed(h.groupClassName,!0),c.exit().each(l).remove();for(var u=0;u0||T<0){var 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n=r(80337),i=r(10229),a=r(93049).extendFlat,o=r(13582).overrideAll,s=r(57891),l=r(78032).templatedArray,c=l(\"button\",{visible:{valType:\"boolean\"},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},args2:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\",dflt:\"\"},execute:{valType:\"boolean\",dflt:!0}});t.exports=o(l(\"updatemenu\",{_arrayAttrRegexps:[/^updatemenus\\[(0|[1-9][0-9]+)\\]\\.buttons/],visible:{valType:\"boolean\"},type:{valType:\"enumerated\",values:[\"dropdown\",\"buttons\"],dflt:\"dropdown\"},direction:{valType:\"enumerated\",values:[\"left\",\"right\",\"up\",\"down\"],dflt:\"down\"},active:{valType:\"integer\",min:-1,dflt:0},showactive:{valType:\"boolean\",dflt:!0},buttons:c,x:{valType:\"number\",min:-2,max:3,dflt:-.05},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"right\"},y:{valType:\"number\",min:-2,max:3,dflt:1},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},pad:a(s({editType:\"arraydraw\"}),{}),font:n({}),bgcolor:{valType:\"color\"},bordercolor:{valType:\"color\",dflt:i.borderLine},borderwidth:{valType:\"number\",min:0,dflt:1,editType:\"arraydraw\"}}),\"arraydraw\",\"from-root\")},71559:function(t){\"use 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l=o.selectAll(\"g.\"+h.headerGroupClassName).data(r,p);l.enter().append(\"g\").classed(h.headerGroupClassName,!0);for(var c=s.ensureSingle(o,\"g\",h.dropdownButtonGroupClassName,(function(t){t.style(\"pointer-events\",\"all\")})),u=0;uw,A=s.barLength+2*s.barPad,M=s.barWidth+2*s.barPad,S=d,E=g+y;E+M>c&&(E=c-M);var C=this.container.selectAll(\"rect.scrollbar-horizontal\").data(k?[0]:[]);C.exit().on(\".drag\",null).remove(),C.enter().append(\"rect\").classed(\"scrollbar-horizontal\",!0).call(i.fill,s.barColor),k?(this.hbar=C.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 L=y>T,I=s.barWidth+2*s.barPad,P=s.barLength+2*s.barPad,z=d+m,O=g;z+I>l&&(z=l-I);var D=this.container.selectAll(\"rect.scrollbar-vertical\").data(L?[0]:[]);D.exit().on(\".drag\",null).remove(),D.enter().append(\"rect\").classed(\"scrollbar-vertical\",!0).call(i.fill,s.barColor),L?(this.vbar=D.attr({rx:s.barRadius,ry:s.barRadius,x:z,y:O,width:I,height:P}),this._vbarYMin=O+P/2,this._vbarTranslateMax=T-P):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var R=this.id,F=u-.5,B=L?h+I+.5:h+.5,N=f-.5,j=k?p+M+.5:p+.5,U=o._topdefs.selectAll(\"#\"+R).data(k||L?[0]:[]);if(U.exit().remove(),U.enter().append(\"clipPath\").attr(\"id\",R).append(\"rect\"),k||L?(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:m,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||L){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 q=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(q),L&&this.vbar.on(\".drag\",null).call(q)}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 t=this.translateX,e=this.translateY;this.hbar&&(t+=n.event.deltaY),this.vbar&&(e+=n.event.deltaY),this.setTranslate(t,e)},s.prototype._onBarDrag=function(){var t=this.translateX,e=this.translateY;if(this.hbar){var r=t+this._hbarXMin,i=r+this._hbarTranslateMax;t=(o.constrain(n.event.x,r,i)-r)/(i-r)*(this.position.w-this._box.w)}if(this.vbar){var a=e+this._vbarYMin,s=a+this._vbarTranslateMax;e=(o.constrain(n.event.y,a,s)-a)/(s-a)*(this.position.h-this._box.h)}this.setTranslate(t,e)},s.prototype.setTranslate=function(t,e){var r=this.position.w-this._box.w,n=this.position.h-this._box.h;if(t=o.constrain(t||0,0,r),e=o.constrain(e||0,0,n),this.translateX=t,this.translateY=e,this.container.call(a.setTranslate,this._box.l-this.position.l-t,this._box.t-this.position.t-e),this._clipRect&&this._clipRect.attr({x:Math.floor(this.position.l+t-.5),y:Math.floor(this.position.t+e-.5)}),this.hbar){var i=t/r;this.hbar.call(a.setTranslate,t+i*this._hbarTranslateMax,e)}if(this.vbar){var s=e/n;this.vbar.call(a.setTranslate,t,e+s*this._vbarTranslateMax)}}},4530:function(t){\"use strict\";t.exports={FROM_BL:{left:0,center:.5,right:1,bottom:0,middle:.5,top:1},FROM_TL:{left:0,center:.5,right:1,bottom:1,middle:.5,top:0},FROM_BR:{left:1,center:.5,right:0,bottom:0,middle:.5,top:1},LINE_SPACING:1.3,CAP_SHIFT:.7,MID_SHIFT:.35,OPPOSITE_SIDE:{left:\"right\",right:\"left\",top:\"bottom\",bottom:\"top\"}}},35081:function(t){\"use strict\";t.exports={axisRefDescription:function(t,e,r){return[\"If set to a\",t,\"axis id (e.g. *\"+t+\"* 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n,i,a,o=e[t],s=w.scopeDefaults[e.scope];\"lonaxis\"===t?(n=s.lonaxisRange,i=s.lataxisRange,a=function(t,e){return[t,e]}):\"lataxis\"===t&&(n=s.lataxisRange,i=s.lonaxisRange,a=function(t,e){return[e,t]});var l={type:\"linear\",range:[n[0],n[1]-1e-6],tick0:o.tick0,dtick:o.dtick};m.setConvert(l,r);var c=m.calcTicks(l);e.isScoped||\"lonaxis\"!==t||c.pop();for(var u=c.length,h=new Array(u),f=0;f-1&&_(n.event,i,[r.xaxis],[r.yaxis],r.id,u),s.indexOf(\"event\")>-1&&p.click(i,n.event))}))}function h(t){return r.projection.invert([t[0]+r.xaxis._offset,t[1]+r.yaxis._offset])}},S.makeFramework=function(){var t=this,e=t.graphDiv,r=e._fullLayout,i=\"clip\"+r._uid+t.id;t.clipDef=r._clips.append(\"clipPath\").attr(\"id\",i),t.clipRect=t.clipDef.append(\"rect\"),t.framework=n.select(t.container).append(\"g\").attr(\"class\",\"geo \"+t.id).call(f.setClipUrl,i,e),t.project=function(e){var r=t.projection(e);return r?[r[0]-t.xaxis._offset,r[1]-t.yaxis._offset]:[null,null]},t.xaxis={_id:\"x\",c2p:function(e){return t.project(e)[0]}},t.yaxis={_id:\"y\",c2p:function(e){return t.project(e)[1]}},t.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},m.setConvert(t.mockAxis,r)},S.saveViewInitial=function(t){var e,r=t.center||{},n=t.projection,i=n.rotation||{};this.viewInitial={fitbounds:t.fitbounds,\"projection.scale\":n.scale},e=t._isScoped?{\"center.lon\":r.lon,\"center.lat\":r.lat}:t._isClipped?{\"projection.rotation.lon\":i.lon,\"projection.rotation.lat\":i.lat}:{\"center.lon\":r.lon,\"center.lat\":r.lat,\"projection.rotation.lon\":i.lon},c.extendFlat(this.viewInitial,e)},S.render=function(t){this._hasMarkerAngles&&t?this.plot(this._geoCalcData,this._fullLayout,[],!0):this._render()},S._render=function(){var t,e=this.projection,r=e.getPath();function n(t){var r=e(t.lonlat);return r?u(r[0],r[1]):null}function i(t){return e.isLonLatOverEdges(t.lonlat)?\"none\":null}for(t in 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e.projection.rotation.lon))}t.exports=function(t,e,r){i(t,e,r,{type:\"geo\",attributes:s,handleDefaults:c,fullData:r,partition:\"y\"})}},14309:function(t,e,r){\"use strict\";var n=r(45568),i=r(34809),a=r(33626),o=Math.PI/180,s=180/Math.PI,l={cursor:\"pointer\"},c={cursor:\"auto\"};function u(t,e){return n.behavior.zoom().translate(e.translate()).scale(e.scale())}function h(t,e,r){var n=t.id,o=t.graphDiv,s=o.layout,l=s[n],c=o._fullLayout,u=c[n],h={},f={};function p(t,e){h[n+\".\"+t]=i.nestedProperty(l,t).get(),a.call(\"_storeDirectGUIEdit\",s,c._preGUI,h);var r=i.nestedProperty(u,t);r.get()!==e&&(r.set(e),i.nestedProperty(l,t).set(e),f[n+\".\"+t]=e)}r(p),p(\"projection.scale\",e.scale()/t.fitScale),p(\"fitbounds\",!1),o.emit(\"plotly_relayout\",f)}function f(t,e){var r=u(0,e);function i(r){var n=e.invert(t.midPt);r(\"center.lon\",n[0]),r(\"center.lat\",n[1])}return 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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}},32412:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[a[c]];if(u._length=(r[c].hi-r[c].lo)*r[c].pixelsPerDataUnit/t.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else{u._input_range=u.range.slice(),u.range[0]=r[c].lo/t.dataScale[c],u.range[1]=r[c].hi/t.dataScale[c],u._m=1/(t.dataScale[c]*r[c].pixelsPerDataUnit),u.range[0]===u.range[1]&&(u.range[0]-=1,u.range[1]+=1);var h=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var f=u.nticks||i.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/f)}for(var p=n.calcTicks(u,{msUTC:!0}),d=0;d/g,\" 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n=r(34809),i=n.strTranslate,a=n.strScale,o=r(4173).fX,s=r(62972),l=r(45568),c=r(62203),u=r(30635),h=r(38793),f=\"map\";e.name=f,e.attr=\"subplot\",e.idRoot=f,e.idRegex=e.attrRegex=n.counterRegex(f),e.attributes={subplot:{valType:\"subplotid\",dflt:\"map\",editType:\"calc\"}},e.layoutAttributes=r(8257),e.supplyLayoutDefaults=r(97446),e.plot=function(t){for(var e=t._fullLayout,r=t.calcdata,i=e._subplots[f],a=0;ax/2){var _=m.split(\"|\").join(\"
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i=t.symbol,o=a(i.textposition,i.iconsize);n.extendFlat(e,{\"icon-image\":i.icon+\"-15\",\"icon-size\":i.iconsize/10,\"text-field\":i.text,\"text-size\":i.textfont.size,\"text-anchor\":o.anchor,\"text-offset\":o.offset,\"symbol-placement\":i.placement}),n.extendFlat(r,{\"icon-color\":t.color,\"text-color\":i.textfont.color,\"text-opacity\":t.opacity});break;case\"raster\":n.extendFlat(r,{\"raster-fade-duration\":0,\"raster-opacity\":t.opacity})}return{layout:e,paint:r}}l.update=function(t){this.visible?this.needsNewImage(t)?this.updateImage(t):this.needsNewSource(t)?(this.removeLayer(),this.updateSource(t),this.updateLayer(t)):this.needsNewLayer(t)?this.updateLayer(t):this.updateStyle(t):(this.updateSource(t),this.updateLayer(t)),this.visible=c(t)},l.needsNewImage=function(t){return this.subplot.map.getSource(this.idSource)&&\"image\"===this.sourceType&&\"image\"===t.sourcetype&&(this.source!==t.source||JSON.stringify(this.coordinates)!==JSON.stringify(t.coordinates))},l.needsNewSource=function(t){return this.sourceType!==t.sourcetype||JSON.stringify(this.source)!==JSON.stringify(t.source)||this.layerType!==t.type},l.needsNewLayer=function(t){return this.layerType!==t.type||this.below!==this.subplot.belowLookup[\"layout-\"+this.index]},l.lookupBelow=function(){return this.subplot.belowLookup[\"layout-\"+this.index]},l.updateImage=function(t){this.subplot.map.getSource(this.idSource).updateImage({url:t.source,coordinates:t.coordinates});var e=this.findFollowingMapLayerId(this.lookupBelow());null!==e&&this.subplot.map.moveLayer(this.idLayer,e)},l.updateSource=function(t){var e=this.subplot.map;if(e.getSource(this.idSource)&&e.removeSource(this.idSource),this.sourceType=t.sourcetype,this.source=t.source,c(t)){var r=function(t){var e,r=t.sourcetype,n=t.source,a={type:r};return\"geojson\"===r?e=\"data\":\"vector\"===r?e=\"string\"==typeof n?\"url\":\"tiles\":\"raster\"===r?(e=\"tiles\",a.tileSize=256):\"image\"===r&&(e=\"url\",a.coordinates=t.coordinates),a[e]=n,t.sourceattribution&&(a.attribution=i(t.sourceattribution)),a}(t);e.addSource(this.idSource,r)}},l.findFollowingMapLayerId=function(t){if(\"traces\"===t)for(var e=this.subplot.getMapLayers(),r=0;r1)for(r=0;r-1&&g(e.originalEvent,n,[r.xaxis],[r.yaxis],r.id,t),i.indexOf(\"event\")>-1&&c.click(n,e.originalEvent)}}},_.updateFx=function(t){var e=this,r=e.map,n=e.gd;if(!e.isStatic){var a,o=t.dragmode;a=function(t,r){r.isRect?(t.range={})[e.id]=[c([r.xmin,r.ymin]),c([r.xmax,r.ymax])]:(t.lassoPoints={})[e.id]=r.map(c)};var s=e.dragOptions;e.dragOptions=i.extendDeep(s||{},{dragmode:t.dragmode,element:e.div,gd:n,plotinfo:{id:e.id,domain:t[e.id].domain,xaxis:e.xaxis,yaxis:e.yaxis,fillRangeItems:a},xaxes:[e.xaxis],yaxes:[e.yaxis],subplot:e.id}),r.off(\"click\",e.onClickInPanHandler),f(o)||h(o)?(r.dragPan.disable(),r.on(\"zoomstart\",e.clearOutline),e.dragOptions.prepFn=function(t,r,n){p(t,r,n,e.dragOptions,o)},l.init(e.dragOptions)):(r.dragPan.enable(),r.off(\"zoomstart\",e.clearOutline),e.div.onmousedown=null,e.div.ontouchstart=null,e.div.removeEventListener(\"touchstart\",e.div._ontouchstart),e.onClickInPanHandler=e.onClickInPanFn(e.dragOptions),r.on(\"click\",e.onClickInPanHandler))}function c(t){var r=e.map.unproject(t);return[r.lng,r.lat]}},_.updateFramework=function(t){var e=t[this.id].domain,r=t._size,n=this.div.style;n.width=r.w*(e.x[1]-e.x[0])+\"px\",n.height=r.h*(e.y[1]-e.y[0])+\"px\",n.left=r.l+e.x[0]*r.w+\"px\",n.top=r.t+(1-e.y[1])*r.h+\"px\",this.xaxis._offset=r.l+e.x[0]*r.w,this.xaxis._length=r.w*(e.x[1]-e.x[0]),this.yaxis._offset=r.t+(1-e.y[1])*r.h,this.yaxis._length=r.h*(e.y[1]-e.y[0])},_.updateLayers=function(t){var e,r=t[this.id].layers,n=this.layerList;if(r.length!==n.length){for(e=0;eOpenStreetMap contributors',o=['© Carto',a].join(\" \"),s=['Map tiles by Stamen Design','under CC BY 3.0',\"|\",'Data by OpenStreetMap contributors','under ODbL'].join(\" 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y=E.findPolygonOffset(m,C[0],C[1],L);B+=A+y[0],N+=M+y[1]}switch(l){case\"zoom\":W.clickFn=st,c||(W.moveFn=L?it:rt,W.doneFn=at,function(){j=null,U=null,V=s.pathSubplot(),q=!1;var t=u._fullLayout[s.id];H=i(t.bgcolor).getLuminance(),(G=g.makeZoombox(f,H,T,k,V)).attr(\"fill-rule\",\"evenodd\"),Z=g.makeCorners(f,T,k),w(u)}());break;case\"select\":case\"lasso\":_(t,n,a,W,l)}},y.init(W)},N.updateRadialDrag=function(t,e,r){var i=this,c=i.gd,u=i.layers,h=i.radius,f=i.innerRadius,p=i.cx,d=i.cy,m=i.radialAxis,v=S.radialDragBoxSize,x=v/2;if(m.visible){var _,b,T,M=R(i.radialAxisAngle),E=m._rl,C=E[0],L=E[1],I=E[r],P=.75*(E[1]-E[0])/(1-i.getHole(e))/h;r?(_=p+(h+x)*Math.cos(M),b=d-(h+x)*Math.sin(M),T=\"radialdrag\"):(_=p+(f-x)*Math.cos(M),b=d-(f-x)*Math.sin(M),T=\"radialdrag-inner\");var z,O,D,B=g.makeRectDragger(u,T,\"crosshair\",-x,-x,v,v),N={element:B,gd:c};!1===t.dragmode&&(N.dragmode=!1),V(n.select(B),m.visible&&f0==(r?D>C:Dn?function(t){return t<=0}:function(t){return t>=0};t.c2g=function(r){var n=t.c2l(r)-e;return(s(n)?n:0)+o},t.g2c=function(r){return t.l2c(r+e-o)},t.g2p=function(t){return t*a},t.c2p=function(e){return t.g2p(t.c2g(e))}}}(t,e);break;case\"angularaxis\":!function(t,e){var r=t.type;if(\"linear\"===r){var i=t.d2c,s=t.c2d;t.d2c=function(t,e){return function(t,e){return\"degrees\"===e?a(t):t}(i(t),e)},t.c2d=function(t,e){return s(function(t,e){return\"degrees\"===e?o(t):t}(t,e))}}t.makeCalcdata=function(e,r){var n,i,a=e[r],o=e._length,s=function(r){return t.d2c(r,e.thetaunit)};if(a)for(n=new Array(o),i=0;i0?1:0}function r(t){var e=t[0],r=t[1];if(!isFinite(e)||!isFinite(r))return[1,0];var n=(e+1)*(e+1)+r*r;return[(e*e+r*r-1)/n,2*r/n]}function n(t,e){var r=e[0],n=e[1];return[r*t.radius+t.cx,-n*t.radius+t.cy]}function i(t,e){return e*t.radius}t.exports={smith:r,reactanceArc:function(t,e,a,o){var s=n(t,r([a,e])),l=s[0],c=s[1],u=n(t,r([o,e])),h=u[0],f=u[1];if(0===e)return[\"M\"+l+\",\"+c,\"L\"+h+\",\"+f].join(\" \");var p=i(t,1/Math.abs(e));return[\"M\"+l+\",\"+c,\"A\"+p+\",\"+p+\" 0 0,\"+(e<0?1:0)+\" \"+h+\",\"+f].join(\" \")},resistanceArc:function(t,a,o,s){var l=i(t,1/(a+1)),c=n(t,r([a,o])),u=c[0],h=c[1],f=n(t,r([a,s])),p=f[0],d=f[1];if(e(o)!==e(s)){var m=n(t,r([a,0]));return[\"M\"+u+\",\"+h,\"A\"+l+\",\"+l+\" 0 0,\"+(00){for(var n=[],i=0;i=u&&(f.min=0,d.min=0,g.min=0,t.aaxis&&delete t.aaxis.min,t.baxis&&delete t.baxis.min,t.caxis&&delete t.caxis.min)}function m(t,e,r,n){var i=f[e._name];function o(r,n){return a.coerce(t,e,i,r,n)}o(\"uirevision\",n.uirevision),e.type=\"linear\";var p=o(\"color\"),d=p!==i.color.dflt?p:r.font.color,m=e._name.charAt(0).toUpperCase(),g=\"Component \"+m,y=o(\"title.text\",g);e._hovertitle=y===g?y:m,a.coerceFont(o,\"title.font\",r.font,{overrideDflt:{size:a.bigFont(r.font.size),color:d}}),o(\"min\"),u(t,e,o,\"linear\"),l(t,e,o,\"linear\"),s(t,e,o,\"linear\",{noAutotickangles:!0,noTicklabelshift:!0,noTicklabelstandoff:!0}),c(t,e,o,{outerTicks:!0}),o(\"showticklabels\")&&(a.coerceFont(o,\"tickfont\",r.font,{overrideDflt:{color:d}}),o(\"tickangle\"),o(\"tickformat\")),h(t,e,o,{dfltColor:p,bgColor:r.bgColor,blend:60,showLine:!0,showGrid:!0,noZeroLine:!0,attributes:i}),o(\"hoverformat\"),o(\"layer\")}t.exports=function(t,e,r){o(t,e,r,{type:\"ternary\",attributes:f,handleDefaults:d,font:e.font,paper_bgcolor:e.paper_bgcolor})}},83637:function(t,e,r){\"use strict\";var n=r(45568),i=r(65657),a=r(33626),o=r(34809),s=o.strTranslate,l=o._,c=r(78766),u=r(62203),h=r(19091),f=r(93049).extendFlat,p=r(44122),d=r(29714),m=r(14751),g=r(32141),y=r(70414),v=y.freeMode,x=y.rectMode,_=r(17240),b=r(44844).prepSelect,w=r(44844).selectOnClick,T=r(44844).clearOutline,k=r(44844).clearSelectionsCache,A=r(54826);function M(t,e){this.id=t.id,this.graphDiv=t.graphDiv,this.init(e),this.makeFramework(e),this.updateFx(e),this.aTickLayout=null,this.bTickLayout=null,this.cTickLayout=null}t.exports=M;var S=M.prototype;S.init=function(t){this.container=t._ternarylayer,this.defs=t._defs,this.layoutId=t._uid,this.traceHash={},this.layers={}},S.plot=function(t,e){var r=this,n=e[r.id],i=e._size;r._hasClipOnAxisFalse=!1;for(var a=0;aE*_?i=(a=_)*E:a=(i=x)/E,o=y*i/x,l=v*a/_,r=e.l+e.w*m-i/2,n=e.t+e.h*(1-g)-a/2,p.x0=r,p.y0=n,p.w=i,p.h=a,p.sum=b,p.xaxis={type:\"linear\",range:[w+2*k-b,b-w-2*T],domain:[m-o/2,m+o/2],_id:\"x\"},h(p.xaxis,p.graphDiv._fullLayout),p.xaxis.setScale(),p.xaxis.isPtWithinRange=function(t){return t.a>=p.aaxis.range[0]&&t.a<=p.aaxis.range[1]&&t.b>=p.baxis.range[1]&&t.b<=p.baxis.range[0]&&t.c>=p.caxis.range[1]&&t.c<=p.caxis.range[0]},p.yaxis={type:\"linear\",range:[w,b-T-k],domain:[g-l/2,g+l/2],_id:\"y\"},h(p.yaxis,p.graphDiv._fullLayout),p.yaxis.setScale(),p.yaxis.isPtWithinRange=function(){return!0};var A=p.yaxis.domain[0],M=p.aaxis=f({},t.aaxis,{range:[w,b-T-k],side:\"left\",tickangle:(+t.aaxis.tickangle||0)-30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});h(M,p.graphDiv._fullLayout),M.setScale();var S=p.baxis=f({},t.baxis,{range:[b-w-k,T],side:\"bottom\",domain:p.xaxis.domain,anchor:\"free\",position:0,_id:\"x\",_length:i});h(S,p.graphDiv._fullLayout),S.setScale();var C=p.caxis=f({},t.caxis,{range:[b-w-T,k],side:\"right\",tickangle:(+t.caxis.tickangle||0)+30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});h(C,p.graphDiv._fullLayout),C.setScale();var L=\"M\"+r+\",\"+(n+a)+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDef.select(\"path\").attr(\"d\",L),p.layers.plotbg.select(\"path\").attr(\"d\",L);var I=\"M0,\"+a+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDefRelative.select(\"path\").attr(\"d\",I);var P=s(r,n);p.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",P),p.clipDefRelative.select(\"path\").attr(\"transform\",null);var z=s(r-S._offset,n+a);p.layers.baxis.attr(\"transform\",z),p.layers.bgrid.attr(\"transform\",z);var O=s(r+i/2,n)+\"rotate(30)\"+s(0,-M._offset);p.layers.aaxis.attr(\"transform\",O),p.layers.agrid.attr(\"transform\",O);var D=s(r+i/2,n)+\"rotate(-30)\"+s(0,-C._offset);p.layers.caxis.attr(\"transform\",D),p.layers.cgrid.attr(\"transform\",D),p.drawAxes(!0),p.layers.aline.select(\"path\").attr(\"d\",M.showline?\"M\"+r+\",\"+(n+a)+\"l\"+i/2+\",-\"+a:\"M0,0\").call(c.stroke,M.linecolor||\"#000\").style(\"stroke-width\",(M.linewidth||0)+\"px\"),p.layers.bline.select(\"path\").attr(\"d\",S.showline?\"M\"+r+\",\"+(n+a)+\"h\"+i:\"M0,0\").call(c.stroke,S.linecolor||\"#000\").style(\"stroke-width\",(S.linewidth||0)+\"px\"),p.layers.cline.select(\"path\").attr(\"d\",C.showline?\"M\"+(r+i/2)+\",\"+n+\"l\"+i/2+\",\"+a:\"M0,0\").call(c.stroke,C.linecolor||\"#000\").style(\"stroke-width\",(C.linewidth||0)+\"px\"),p.graphDiv._context.staticPlot||p.initInteractions(),u.setClipUrl(p.layers.frontplot,p._hasClipOnAxisFalse?null:p.clipId,p.graphDiv)},S.drawAxes=function(t){var e=this,r=e.graphDiv,n=e.id.substr(7)+\"title\",i=e.layers,a=e.aaxis,o=e.baxis,s=e.caxis;if(e.drawAx(a),e.drawAx(o),e.drawAx(s),t){var c=Math.max(a.showticklabels?a.tickfont.size/2:0,(s.showticklabels?.75*s.tickfont.size:0)+(\"outside\"===s.ticks?.87*s.ticklen:0)),u=(o.showticklabels?o.tickfont.size:0)+(\"outside\"===o.ticks?o.ticklen:0)+3;i[\"a-title\"]=_.draw(r,\"a\"+n,{propContainer:a,propName:e.id+\".aaxis.title\",placeholder:l(r,\"Click to enter Component A title\"),attributes:{x:e.x0+e.w/2,y:e.y0-a.title.font.size/3-c,\"text-anchor\":\"middle\"}}),i[\"b-title\"]=_.draw(r,\"b\"+n,{propContainer:o,propName:e.id+\".baxis.title\",placeholder:l(r,\"Click to enter Component B title\"),attributes:{x:e.x0-u,y:e.y0+e.h+.83*o.title.font.size+u,\"text-anchor\":\"middle\"}}),i[\"c-title\"]=_.draw(r,\"c\"+n,{propContainer:s,propName:e.id+\".caxis.title\",placeholder:l(r,\"Click to enter Component C title\"),attributes:{x:e.x0+e.w+u,y:e.y0+e.h+.83*s.title.font.size+u,\"text-anchor\":\"middle\"}})}},S.drawAx=function(t){var e,r=this,n=r.graphDiv,i=t._name,a=i.charAt(0),s=t._id,l=r.layers[i],c=a+\"tickLayout\",u=(e=t).ticks+String(e.ticklen)+String(e.showticklabels);r[c]!==u&&(l.selectAll(\".\"+s+\"tick\").remove(),r[c]=u),t.setScale();var h=d.calcTicks(t),f=d.clipEnds(t,h),p=d.makeTransTickFn(t),m=d.getTickSigns(t)[2],g=o.deg2rad(30),y=m*(t.linewidth||1)/2,v=m*t.ticklen,x=r.w,_=r.h,b=\"b\"===a?\"M0,\"+y+\"l\"+Math.sin(g)*v+\",\"+Math.cos(g)*v:\"M\"+y+\",0l\"+Math.cos(g)*v+\",\"+-Math.sin(g)*v,w={a:\"M0,0l\"+_+\",-\"+x/2,b:\"M0,0l-\"+x/2+\",-\"+_,c:\"M0,0l-\"+_+\",\"+x/2}[a];d.drawTicks(n,t,{vals:\"inside\"===t.ticks?f:h,layer:l,path:b,transFn:p,crisp:!1}),d.drawGrid(n,t,{vals:f,layer:r.layers[a+\"grid\"],path:w,transFn:p,crisp:!1}),d.drawLabels(n,t,{vals:h,layer:l,transFn:p,labelFns:d.makeLabelFns(t,0,30)})};var C=A.MINZOOM/2+.87,L=\"m-0.87,.5h\"+C+\"v3h-\"+(C+5.2)+\"l\"+(C/2+2.6)+\",-\"+(.87*C+4.5)+\"l2.6,1.5l-\"+C/2+\",\"+.87*C+\"Z\",I=\"m0.87,.5h-\"+C+\"v3h\"+(C+5.2)+\"l-\"+(C/2+2.6)+\",-\"+(.87*C+4.5)+\"l-2.6,1.5l\"+C/2+\",\"+.87*C+\"Z\",P=\"m0,1l\"+C/2+\",\"+.87*C+\"l2.6,-1.5l-\"+(C/2+2.6)+\",-\"+(.87*C+4.5)+\"l-\"+(C/2+2.6)+\",\"+(.87*C+4.5)+\"l2.6,1.5l\"+C/2+\",-\"+.87*C+\"Z\",z=!0;function O(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}S.clearOutline=function(){k(this.dragOptions),T(this.dragOptions.gd)},S.initInteractions=function(){var t,e,r,n,h,f,p,d,y,_,T,k,M=this,S=M.layers.plotbg.select(\"path\").node(),C=M.graphDiv,D=C._fullLayout._zoomlayer;function R(t){var e={};return e[M.id+\".aaxis.min\"]=t.a,e[M.id+\".baxis.min\"]=t.b,e[M.id+\".caxis.min\"]=t.c,e}function F(t,e){var r=C._fullLayout.clickmode;O(C),2===t&&(C.emit(\"plotly_doubleclick\",null),a.call(\"_guiRelayout\",C,R({a:0,b:0,c:0}))),r.indexOf(\"select\")>-1&&1===t&&w(e,C,[M.xaxis],[M.yaxis],M.id,M.dragOptions),r.indexOf(\"event\")>-1&&g.click(C,e,M.id)}function B(t,e){return 1-e/M.h}function N(t,e){return 1-(t+(M.h-e)/Math.sqrt(3))/M.w}function j(t,e){return(t-(M.h-e)/Math.sqrt(3))/M.w}function U(i,a){var o=r+i*t,s=n+a*e,l=Math.max(0,Math.min(1,B(0,n),B(0,s))),c=Math.max(0,Math.min(1,N(r,n),N(o,s))),u=Math.max(0,Math.min(1,j(r,n),j(o,s))),m=(l/2+u)*M.w,g=(1-l/2-c)*M.w,v=(m+g)/2,x=g-m,b=(1-l)*M.h,w=b-x/E;x.2?\"rgba(0,0,0,0.4)\":\"rgba(255,255,255,0.3)\").duration(200),k.transition().style(\"opacity\",1).duration(200),_=!0),C.emit(\"plotly_relayouting\",R(p))}function V(){O(C),p!==h&&(a.call(\"_guiRelayout\",C,R(p)),z&&C.data&&C._context.showTips&&(o.notifier(l(C,\"Double-click to zoom back out\"),\"long\"),z=!1))}function q(t,e){var r=t/M.xaxis._m,n=e/M.yaxis._m,i=[(p={a:h.a-n,b:h.b+(r+n)/2,c:h.c-(r-n)/2}).a,p.b,p.c].sort(o.sorterAsc),a=i.indexOf(p.a),l=i.indexOf(p.b),c=i.indexOf(p.c);i[0]<0&&(i[1]+i[0]/2<0?(i[2]+=i[0]+i[1],i[0]=i[1]=0):(i[2]+=i[0]/2,i[1]+=i[0]/2,i[0]=0),p={a:i[a],b:i[l],c:i[c]},e=(h.a-p.a)*M.yaxis._m,t=(h.c-p.c-h.b+p.b)*M.xaxis._m);var f=s(M.x0+t,M.y0+e);M.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",f);var d=s(-t,-e);M.clipDefRelative.select(\"path\").attr(\"transform\",d),M.aaxis.range=[p.a,M.sum-p.b-p.c],M.baxis.range=[M.sum-p.a-p.c,p.b],M.caxis.range=[M.sum-p.a-p.b,p.c],M.drawAxes(!1),M._hasClipOnAxisFalse&&M.plotContainer.select(\".scatterlayer\").selectAll(\".trace\").call(u.hideOutsideRangePoints,M),C.emit(\"plotly_relayouting\",R(p))}function H(){a.call(\"_guiRelayout\",C,R(p))}this.dragOptions={element:S,gd:C,plotinfo:{id:M.id,domain:C._fullLayout[M.id].domain,xaxis:M.xaxis,yaxis:M.yaxis},subplot:M.id,prepFn:function(a,l,u){M.dragOptions.xaxes=[M.xaxis],M.dragOptions.yaxes=[M.yaxis],t=C._fullLayout._invScaleX,e=C._fullLayout._invScaleY;var m=M.dragOptions.dragmode=C._fullLayout.dragmode;v(m)?M.dragOptions.minDrag=1:M.dragOptions.minDrag=void 0,\"zoom\"===m?(M.dragOptions.moveFn=U,M.dragOptions.clickFn=F,M.dragOptions.doneFn=V,function(t,e,a){var l=S.getBoundingClientRect();r=e-l.left,n=a-l.top,C._fullLayout._calcInverseTransform(C);var u=C._fullLayout._invTransform,m=o.apply3DTransform(u)(r,n);r=m[0],n=m[1],h={a:M.aaxis.range[0],b:M.baxis.range[1],c:M.caxis.range[1]},p=h,f=M.aaxis.range[1]-h.a,d=i(M.graphDiv._fullLayout[M.id].bgcolor).getLuminance(),y=\"M0,\"+M.h+\"L\"+M.w/2+\", 0L\"+M.w+\",\"+M.h+\"Z\",_=!1,T=D.append(\"path\").attr(\"class\",\"zoombox\").attr(\"transform\",s(M.x0,M.y0)).style({fill:d>.2?\"rgba(0,0,0,0)\":\"rgba(255,255,255,0)\",\"stroke-width\":0}).attr(\"d\",y),k=D.append(\"path\").attr(\"class\",\"zoombox-corners\").attr(\"transform\",s(M.x0,M.y0)).style({fill:c.background,stroke:c.defaultLine,\"stroke-width\":1,opacity:0}).attr(\"d\",\"M0,0Z\"),M.clearOutline(C)}(0,l,u)):\"pan\"===m?(M.dragOptions.moveFn=q,M.dragOptions.clickFn=F,M.dragOptions.doneFn=H,h={a:M.aaxis.range[0],b:M.baxis.range[1],c:M.caxis.range[1]},p=h,M.clearOutline(C)):(x(m)||v(m))&&b(a,l,u,M.dragOptions,m)}},S.onmousemove=function(t){g.hover(C,t,M.id),C._fullLayout._lasthover=S,C._fullLayout._hoversubplot=M.id},S.onmouseout=function(t){C._dragging||m.unhover(C,t)},m.init(this.dragOptions)}},33626:function(t,e,r){\"use strict\";var n=r(48636),i=r(4969),a=r(36539),o=r(56174),s=r(95425).addStyleRule,l=r(93049),c=r(9829),u=r(6704),h=l.extendFlat,f=l.extendDeepAll;function 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W=b.selectAll(\"g.gauge-outline\").data([x]);W.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),W.select(\"path\").call(I).call(T),W.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:Z,layer:W,size:B,gaugeBg:L,gaugeOutline:I,transitionOpts:r,onComplete:g});var Y=z.selectAll(\"g.bullet\").data(R?e:[]);Y.exit().remove();var X=z.selectAll(\"g.bulletaxis\").data(R?e:[]);X.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,c,u=r[0].trace,h=n.gauge,p=n.layer,m=n.gaugeBg,g=n.gaugeOutline,y=n.size,x=u.domain,_=n.transitionOpts,b=n.onComplete;h.enter().append(\"g\").classed(\"bullet\",!0),h.attr(\"transform\",l(y.l,y.t)),p.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),p.selectAll(\"g.xbulletaxistick,path,text\").remove();var A=y.h,M=u.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(u._hasNumber||u._hasDelta?1-f.bulletNumberDomainSize:1);function C(t){t.attr(\"width\",(function(t){return 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n=r(87163),i=r(80712).axisHoverFormat,a=r(3208).rb,o=r(42450),s=r(9829),l=r(93049).extendFlat,c=r(13582).overrideAll,u=t.exports=c(l({x:{valType:\"data_array\"},y:{valType:\"data_array\"},z:{valType:\"data_array\"},value:{valType:\"data_array\"},isomin:{valType:\"number\"},isomax:{valType:\"number\"},surface:{show:{valType:\"boolean\",dflt:!0},count:{valType:\"integer\",dflt:2,min:1},fill:{valType:\"number\",min:0,max:1,dflt:1},pattern:{valType:\"flaglist\",flags:[\"A\",\"B\",\"C\",\"D\",\"E\"],extras:[\"all\",\"odd\",\"even\"],dflt:\"all\"}},spaceframe:{show:{valType:\"boolean\",dflt:!1},fill:{valType:\"number\",min:0,max:1,dflt:.15}},slices:{x:{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}},y:{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}},z:{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}}},caps:{x:{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}},y:{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}},z:{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}}},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:a(),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),valuehoverformat:i(\"value\",1),showlegend:l({},s.showlegend,{dflt:!1})},n(\"\",{colorAttr:\"`value`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{opacity:o.opacity,lightposition:o.lightposition,lighting:o.lighting,flatshading:o.flatshading,contour:o.contour,hoverinfo:l({},s.hoverinfo)}),\"calc\",\"nested\");u.flatshading.dflt=!0,u.lighting.facenormalsepsilon.dflt=0,u.x.editType=u.y.editType=u.z.editType=u.value.editType=\"calc+clearAxisTypes\",u.transforms=void 0},58988:function(t,e,r){\"use strict\";var n=r(28379),i=r(36402).processGrid,a=r(36402).filter;t.exports=function(t,e){e._len=Math.min(e.x.length,e.y.length,e.z.length,e.value.length),e._x=a(e.x,e._len),e._y=a(e.y,e._len),e._z=a(e.z,e._len),e._value=a(e.value,e._len);var r=i(e);e._gridFill=r.fill,e._Xs=r.Xs,e._Ys=r.Ys,e._Zs=r.Zs,e._len=r.len;for(var o=1/0,s=-1/0,l=0;l0;r--){var n=Math.min(e[r],e[r-1]),i=Math.max(e[r],e[r-1]);if(i>n&&n-1}function R(t,e){return null===t?e:t}function F(e,r,n){L();var i,a,o,l=[r],c=[n];if(s>=1)l=[r],c=[n];else if(s>0){var u=function(t,e){var r=t[0],n=t[1],i=t[2],a=function(t,e,r){for(var n=[],i=0;i-1?n[p]:C(d,m,y);f[p]=x>-1?x:P(d,m,y,R(e,v))}i=f[0],a=f[1],o=f[2],t._meshI.push(i),t._meshJ.push(a),t._meshK.push(o),++g}}function B(t,e,r,n){var i=t[3];in&&(i=n);for(var a=(t[3]-i)/(t[3]-e[3]+1e-9),o=[],s=0;s<4;s++)o[s]=(1-a)*t[s]+a*e[s];return o}function N(t,e,r){return t>=e&&t<=r}function j(t){var e=.001*(E-S);return t>=S-e&&t<=E+e}function U(e){for(var 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m=t.caps[r];m.show&&m.fill&&(O(m.fill),n[a]=\"x\"===r?$(e,[0,_-1],o,s,n[a]):\"y\"===r?J(e,[0,b-1],o,s,n[a]):K(e,[0,w-1],o,s,n[a]),a++)}})),0===g&&I(),t._meshX=n,t._meshY=i,t._meshZ=a,t._meshIntensity=o,t._Xs=y,t._Ys=v,t._Zs=x}(),t}t.exports={findNearestOnAxis:c,generateIsoMeshes:p,createIsosurfaceTrace:function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new u(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a}}},44731:function(t,e,r){\"use strict\";var n=r(34809),i=r(33626),a=r(70252),o=r(39356);function s(t,e,r,n,a){var s=a(\"isomin\"),l=a(\"isomax\");null!=l&&null!=s&&s>l&&(e.isomin=null,e.isomax=null);var c=a(\"x\"),u=a(\"y\"),h=a(\"z\"),f=a(\"value\");c&&c.length&&u&&u.length&&h&&h.length&&f&&f.length?(i.getComponentMethod(\"calendars\",\"handleTraceDefaults\")(t,e,[\"x\",\"y\",\"z\"],n),a(\"valuehoverformat\"),[\"x\",\"y\",\"z\"].forEach((function(t){a(t+\"hoverformat\");var e=\"caps.\"+t;a(e+\".show\")&&a(e+\".fill\");var r=\"slices.\"+t;a(r+\".show\")&&(a(r+\".fill\"),a(r+\".locations\"))})),a(\"spaceframe.show\")&&a(\"spaceframe.fill\"),a(\"surface.show\")&&(a(\"surface.count\"),a(\"surface.fill\"),a(\"surface.pattern\")),a(\"contour.show\")&&(a(\"contour.color\"),a(\"contour.width\")),[\"text\",\"hovertext\",\"hovertemplate\",\"lighting.ambient\",\"lighting.diffuse\",\"lighting.specular\",\"lighting.roughness\",\"lighting.fresnel\",\"lighting.vertexnormalsepsilon\",\"lighting.facenormalsepsilon\",\"lightposition.x\",\"lightposition.y\",\"lightposition.z\",\"flatshading\",\"opacity\"].forEach((function(t){a(t)})),o(t,e,n,a,{prefix:\"\",cLetter:\"c\"}),e._length=null):e.visible=!1}t.exports={supplyDefaults:function(t,e,r,i){s(t,e,0,i,(function(r,i){return n.coerce(t,e,a,r,i)}))},supplyIsoDefaults:s}},75297:function(t,e,r){\"use strict\";t.exports={attributes:r(70252),supplyDefaults:r(44731).supplyDefaults,calc:r(58988),colorbar:{min:\"cmin\",max:\"cmax\"},plot:r(91370).createIsosurfaceTrace,moduleType:\"trace\",name:\"isosurface\",basePlotModule:r(2487),categories:[\"gl3d\",\"showLegend\"],meta:{}}},42450:function(t,e,r){\"use strict\";var n=r(87163),i=r(80712).axisHoverFormat,a=r(3208).rb,o=r(16131),s=r(9829),l=r(93049).extendFlat;t.exports=l({x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},i:{valType:\"data_array\",editType:\"calc\"},j:{valType:\"data_array\",editType:\"calc\"},k:{valType:\"data_array\",editType:\"calc\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"}),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),delaunayaxis:{valType:\"enumerated\",values:[\"x\",\"y\",\"z\"],dflt:\"z\",editType:\"calc\"},alphahull:{valType:\"number\",dflt:-1,editType:\"calc\"},intensity:{valType:\"data_array\",editType:\"calc\"},intensitymode:{valType:\"enumerated\",values:[\"vertex\",\"cell\"],dflt:\"vertex\",editType:\"calc\"},color:{valType:\"color\",editType:\"calc\"},vertexcolor:{valType:\"data_array\",editType:\"calc\"},facecolor:{valType:\"data_array\",editType:\"calc\"},transforms:void 0},n(\"\",{colorAttr:\"`intensity`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{opacity:o.opacity,flatshading:{valType:\"boolean\",dflt:!1,editType:\"calc\"},contour:{show:l({},o.contours.x.show,{}),color:o.contours.x.color,width:o.contours.x.width,editType:\"calc\"},lightposition:{x:l({},o.lightposition.x,{dflt:1e5}),y:l({},o.lightposition.y,{dflt:1e5}),z:l({},o.lightposition.z,{dflt:0}),editType:\"calc\"},lighting:l({vertexnormalsepsilon:{valType:\"number\",min:0,max:1,dflt:1e-12,editType:\"calc\"},facenormalsepsilon:{valType:\"number\",min:0,max:1,dflt:1e-6,editType:\"calc\"},editType:\"calc\"},o.lighting),hoverinfo:l({},s.hoverinfo,{editType:\"calc\"}),showlegend:l({},s.showlegend,{dflt:!1})})},44878:function(t,e,r){\"use strict\";var n=r(28379);t.exports=function(t,e){e.intensity&&n(t,e,{vals:e.intensity,containerStr:\"\",cLetter:\"c\"})}},82836:function(t,e,r){\"use strict\";var n=r(99098).gl_mesh3d,i=r(99098).delaunay_triangulate,a=r(99098).alpha_shape,o=r(99098).convex_hull,s=r(46998).parseColorScale,l=r(34809).isArrayOrTypedArray,c=r(55010),u=r(88856).extractOpts,h=r(88239);function f(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.color=\"#fff\",this.data=null,this.showContour=!1}var p=f.prototype;function d(t){for(var e=[],r=t.length,n=0;n=e-.5)return!1;return!0}p.handlePick=function(t){if(t.object===this.mesh){var e=t.index=t.data.index;t.data._cellCenter?t.traceCoordinate=t.data.dataCoordinate:t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]];var r=this.data.hovertext||this.data.text;return l(r)&&void 0!==r[e]?t.textLabel=r[e]:r&&(t.textLabel=r),!0}},p.update=function(t){var e=this.scene,r=e.fullSceneLayout;this.data=t;var n,l=t.x.length,f=h(m(r.xaxis,t.x,e.dataScale[0],t.xcalendar),m(r.yaxis,t.y,e.dataScale[1],t.ycalendar),m(r.zaxis,t.z,e.dataScale[2],t.zcalendar));if(t.i&&t.j&&t.k){if(t.i.length!==t.j.length||t.j.length!==t.k.length||!y(t.i,l)||!y(t.j,l)||!y(t.k,l))return;n=h(g(t.i),g(t.j),g(t.k))}else n=0===t.alphahull?o(f):t.alphahull>0?a(t.alphahull,f):function(t,e){for(var r=[\"x\",\"y\",\"z\"].indexOf(t),n=[],a=e.length,o=0;oy):g=A>w,y=A;var M=c(w,T,k,A);M.pos=b,M.yc=(w+A)/2,M.i=_,M.dir=g?\"increasing\":\"decreasing\",M.x=M.pos,M.y=[k,T],v&&(M.orig_p=r[_]),d&&(M.tx=e.text[_]),m&&(M.htx=e.hovertext[_]),x.push(M)}else x.push({pos:b,empty:!0})}return e._extremes[l._id]=a.findExtremes(l,n.concat(f,h),{padded:!0}),x.length&&(x[0].t={labels:{open:i(t,\"open:\")+\" \",high:i(t,\"high:\")+\" \",low:i(t,\"low:\")+\" \",close:i(t,\"close:\")+\" \"}}),x}t.exports={calc:function(t,e){var r=a.getFromId(t,e.xaxis),i=a.getFromId(t,e.yaxis),s=function(t,e,r){var i=r._minDiff;if(!i){var a,s=t._fullData,l=[];for(i=1/0,a=0;a\"+c.labels[x]+n.hoverLabelText(s,_,l.yhoverformat):((v=i.extendFlat({},f)).y0=v.y1=b,v.yLabelVal=_,v.yLabel=c.labels[x]+n.hoverLabelText(s,_,l.yhoverformat),v.name=\"\",h.push(v),g[_]=v)}return h}function f(t,e,r,i){var a=t.cd,o=t.ya,l=a[0].trace,h=a[0].t,f=u(t,e,r,i);if(!f)return[];var p=a[f.index],d=f.index=p.i,m=p.dir;function g(t){return h.labels[t]+n.hoverLabelText(o,l[t][d],l.yhoverformat)}var y=p.hi||l.hoverinfo,v=y.split(\"+\"),x=\"all\"===y,_=x||-1!==v.indexOf(\"y\"),b=x||-1!==v.indexOf(\"text\"),w=_?[g(\"open\"),g(\"high\"),g(\"low\"),g(\"close\")+\" \"+c[m]]:[];return b&&s(p,l,w),f.extraText=w.join(\"
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e=t.parcatsViewModel;e.dragDimension||(b(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(m),-1!==e.hoverinfoItems.indexOf(\"skip\"))||(\"color\"===t.parcatsViewModel.hoveron?S(this,\"plotly_unhover\",n.event):M(this,\"plotly_unhover\",n.event))}function I(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 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O(t){for(var e,r=t.graphDiv._fullData,n=0;n=0;s--)u+=\"C\"+c[s]+\",\"+(e[s+1]+n)+\" \"+l[s]+\",\"+(e[s]+n)+\" \"+(t[s]+r[s])+\",\"+(e[s]+n),u+=\"l-\"+r[s]+\",0 \";return u+\"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})),c=[];for(var u in r.paths)r.paths.hasOwnProperty(u)&&c.push(r.paths[u]);function h(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}c.sort((function(e,r){var 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r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.brush.svgBrush;a.wasDragged=!0,a._dragging=!0,a.grabbingBar?a.newExtent=[r-a.grabPoint,r+a.barLength-a.grabPoint].map(e.unitToPaddedPx.invert):a.newExtent=[a.startExtent,e.unitToPaddedPx.invert(r)].sort(s),e.brush.filterSpecified=!0,a.extent=a.stayingIntervals.concat([a.newExtent]),a.brushCallback(e),_(t.parentNode)}function T(t,e){var r=b(e,e.height-i.mouse(t)[1]-2*n.verticalPadding),a=\"crosshair\";r.clickableOrdinalRange?a=\"pointer\":r.region&&(a=r.region+\"-resize\"),i.select(document.body).style(\"cursor\",a)}function k(t){t.on(\"mousemove\",(function(t){i.event.preventDefault(),t.parent.inBrushDrag||T(this,t)})).on(\"mouseleave\",(function(t){t.parent.inBrushDrag||v()})).call(i.behavior.drag().on(\"dragstart\",(function(t){!function(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.unitToPaddedPx.invert(r),o=e.brush,s=b(e,r),l=s.interval,c=o.svgBrush;if(c.wasDragged=!1,c.grabbingBar=\"ns\"===s.region,c.grabbingBar){var u=l.map(e.unitToPaddedPx);c.grabPoint=r-u[0]-n.verticalPadding,c.barLength=u[1]-u[0]}c.clickableOrdinalRange=s.clickableOrdinalRange,c.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(c.stayingIntervals=c.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),c.startExtent=s.region?l[\"s\"===s.region?1:0]:a,e.parent.inBrushDrag=!0,c.brushStartCallback()}(this,t)})).on(\"drag\",(function(t){w(this,t)})).on(\"dragend\",(function(t){!function(t,e){var r=e.brush,n=r.filter,a=r.svgBrush;a._dragging||(T(t,e),w(t,e),e.brush.svgBrush.wasDragged=!1),a._dragging=!1,i.event.sourceEvent.stopPropagation();var o=a.grabbingBar;if(a.grabbingBar=!1,a.grabLocation=void 0,e.parent.inBrushDrag=!1,v(),!a.wasDragged)return a.wasDragged=void 0,a.clickableOrdinalRange?r.filterSpecified&&e.multiselect?a.extent.push(a.clickableOrdinalRange):(a.extent=[a.clickableOrdinalRange],r.filterSpecified=!0):o?(a.extent=a.stayingIntervals,0===a.extent.length&&M(r)):M(r),a.brushCallback(e),_(t.parentNode),void a.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]a.newExtent[0];a.extent=a.stayingIntervals.concat(c?[a.newExtent]:[]),a.extent.length||M(r),a.brushCallback(e),c?_(t.parentNode,s):(s(),_(t.parentNode))}else s();a.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function A(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function S(t){for(var e,r=t.slice(),n=[],i=r.shift();i;){for(e=i.slice();(i=r.shift())&&i[0]<=e[1];)e[1]=Math.max(e[1],i[1]);n.push(e)}return 1===n.length&&n[0][0]>n[0][1]&&(n=[]),n}t.exports={makeBrush:function(t,e,r,n,i,a){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(A)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=S(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e),n=r.slice();e.filter.set(n),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e,r){var i=t.selectAll(\".\"+n.cn.axisBrush).data(o,a);i.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t,e,r){var i=r._context.staticPlot,a=t.selectAll(\".background\").data(o);a.enter().append(\"rect\").classed(\"background\",!0).call(d).call(m).style(\"pointer-events\",i?\"none\":\"auto\").attr(\"transform\",l(0,n.verticalPadding)),a.call(k).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var s=t.selectAll(\".highlight-shadow\").data(o);s.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",e).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),s.attr(\"y1\",(function(t){return t.height})).call(x);var c=t.selectAll(\".highlight\").data(o);c.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width-n.bar.strokeWidth).attr(\"stroke\",n.bar.fillColor).attr(\"opacity\",n.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),c.attr(\"y1\",(function(t){return t.height})).call(x)}(i,e,r)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(A)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},79846:function(t,e,r){\"use strict\";t.exports={attributes:r(59549),supplyDefaults:r(12842),calc:r(20113),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcoords\",basePlotModule:r(67207),categories:[\"gl\",\"regl\",\"noOpacity\",\"noHover\"],meta:{}}},67207:function(t,e,r){\"use strict\";var n=r(45568),i=r(4173).eV,a=r(58823),o=r(62972);e.name=\"parcoords\",e.plot=function(t){var e=i(t.calcdata,\"parcoords\")[0];e.length&&a(t,e)},e.clean=function(t,e,r,n){var i=n._has&&n._has(\"parcoords\"),a=e._has&&e._has(\"parcoords\");i&&!a&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},e.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter((function(t,e){return e===r.size()-1})).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each((function(){var t=this,r=t.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":r,preserveAspectRatio:\"none\",x:0,y:0,width:t.style.width,height:t.style.height})})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},20113:function(t,e,r){\"use strict\";var n=r(34809).isArrayOrTypedArray,i=r(88856),a=r(71293).wrap;t.exports=function(t,e){var r,o;return i.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;rh&&(n.log(\"parcoords traces support up to \"+h+\" dimensions at the moment\"),d.splice(h));var m=s(t,e,{name:\"dimensions\",layout:l,handleItemDefaults:p}),g=function(t,e,r,o,s){var l=s(\"line.color\",r);if(i(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,u);o(e,l,u),Array.isArray(m)&&m.length||(e.visible=!1),f(e,m,\"values\",g);var y=n.extendFlat({},l.font,{size:Math.round(l.font.size/1.2)});n.coerceFont(u,\"labelfont\",y),n.coerceFont(u,\"tickfont\",y,{autoShadowDflt:!0}),n.coerceFont(u,\"rangefont\",y),u(\"labelangle\"),u(\"labelside\"),u(\"unselected.line.color\"),u(\"unselected.line.opacity\")}},62935:function(t,e,r){\"use strict\";var n=r(34809).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 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a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function f(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:l})}(t),r.drawCompleted=!0),function s(l){var c=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],h(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*c,a.offset=2*l*n,e(a),l*n+c>>8*e)%256/255}function m(t,e,r){for(var n=new Array(8*e),i=0,a=0;ac&&(c=t[i].dim1.canvasX,o=i);0===s&&h(k,0,0,r.canvasWidth,r.canvasHeight);var u=function(t){var e,r,n,i=[[],[]];for(n=0;n<64;n++){var a=!t&&ns._length&&(E=E.slice(0,s._length));var L,I=s.tickvals;function P(t,e){return{val:t,text:L[e]}}function z(t,e){return t.val-e.val}if(a(I)&&I.length){i.isTypedArray(I)&&(I=Array.from(I)),L=s.ticktext,a(L)&&L.length?L.length>I.length?L=L.slice(0,I.length):I.length>L.length&&(I=I.slice(0,L.length)):L=I.map(o(s.tickformat));for(var 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n=r(44122);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)}},44148:function(t,e,r){\"use strict\";var n=r(10721),i=r(65657),a=r(78766),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=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 c=0,u=0;u0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}function u(t,e,r,n,i){n(\"marker.line.width\")&&n(\"marker.line.color\",i?void 0:r.paper_bgcolor);var 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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}},75067:function(t,e,r){\"use strict\";var n=r(62203),i=r(78766);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)}},37252:function(t,e,r){\"use strict\";var n=r(34809);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(n.isArrayOrTypedArray(t))for(var r=0;r\"),name:h.hovertemplate||-1!==f.indexOf(\"name\")?h.name:void 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A=\"M\"+(c+i.px0[0])+\",\"+(u+i.px0[1])+I(i.px0,i.pxmid,!0,1)+I(i.pxmid,i.px0,!0,1)+\"Z\";k?d.attr(\"d\",\"M\"+(c+k*i.px0[0])+\",\"+(u+k*i.px0[1])+I(i.px0,i.pxmid,!1,k)+I(i.pxmid,i.px0,!1,k)+\"Z\"+A):d.attr(\"d\",A)}else{var M=I(i.px0,i.px1,!0,1);if(k){var S=1-k;d.attr(\"d\",\"M\"+(c+k*i.px1[0])+\",\"+(u+k*i.px1[1])+I(i.px1,i.px0,!1,k)+\"l\"+S*i.px0[0]+\",\"+S*i.px0[1]+M+\"Z\")}else d.attr(\"d\",\"M\"+c+\",\"+u+\"l\"+i.px0[0]+\",\"+i.px0[1]+M+\"Z\")}D(t,i,m);var E=g.castOption(y.textposition,i.pts),L=f.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==E?[0]:[]);L.enter().append(\"g\").classed(\"slicetext\",!0),L.exit().remove(),L.each((function(){var 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i,u,h,p,d=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),m=n?t.yLabelMin:t.yLabelMax,y=n?t.yLabelMax:t.yLabelMin,v=t.cyFinal+o(t.px0[1],t.px1[1]),x=d-m;if(x*c>0&&(t.labelExtraY=x),l.isArrayOrTypedArray(e.pull))for(u=0;u=(g.castOption(e.pull,h.pts)||0)||((t.pxmid[1]-h.pxmid[1])*c>0?(x=h.cyFinal+o(h.px0[1],h.px1[1])-m-t.labelExtraY)*c>0&&(t.labelExtraY+=x):(y+t.labelExtraY-v)*c>0&&(i=3*s*Math.abs(u-f.indexOf(t)),(p=h.cxFinal+a(h.px0[0],h.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=p)))}for(n=0;n<2;n++)for(i=n?y:v,o=n?Math.max:Math.min,c=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(u=t[n][r]).sort(i),h=t[1-n][r],f=h.concat(u),d=[],p=0;pMath.abs(h)?s+=\"l\"+h*t.pxmid[0]/t.pxmid[1]+\",\"+h+\"H\"+(a+t.labelExtraX+c):s+=\"l\"+t.labelExtraX+\",\"+u+\"v\"+(h-u)+\"h\"+c}else s+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+c;l.ensureSingle(r,\"path\",\"textline\").call(o.stroke,e.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,e.outsidetextfont.size/8),d:s,fill:\"none\"})}else r.select(\"path.textline\").remove()}))}(v,y),T&&y.automargin){var A=s.bBox(d.node()),M=y.domain,S=f.w*(M.x[1]-M.x[0]),E=f.h*(M.y[1]-M.y[0]),I=(.5*S-m.r)/f.w,P=(.5*E-m.r)/f.h;i.autoMargin(t,\"pie.\"+y.uid+\".automargin\",{xl:M.x[0]-I,xr:M.x[1]+I,yb:M.y[0]-P,yt:M.y[1]+P,l:Math.max(m.cx-m.r-A.left,0),r:Math.max(A.right-(m.cx+m.r),0),b:Math.max(A.bottom-(m.cy+m.r),0),t:Math.max(m.cy-m.r-A.top,0),pad:5})}}))}));setTimeout((function(){m.selectAll(\"tspan\").each((function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))}))}),0)},formatSliceLabel:D,transformInsideText:w,determineInsideTextFont:_,positionTitleOutside:L,prerenderTitles:b,layoutAreas:z,attachFxHandlers:x,computeTransform:R}},140:function(t,e,r){\"use strict\";var n=r(45568),i=r(32891),a=r(84102).resizeText;t.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");a(t,e,\"pie\"),e.each((function(e){var r=e[0].trace,a=n.select(this);a.style({opacity:r.opacity}),a.selectAll(\"path.surface\").each((function(e){n.select(this).call(i,e,r,t)}))}))}},32891:function(t,e,r){\"use strict\";var n=r(78766),i=r(37252).castOption,a=r(75067);t.exports=function(t,e,r,o){var s=r.marker.line,l=i(s.color,e.pts)||n.defaultLine,c=i(s.width,e.pts)||0;t.call(a,e,r,o).style(\"stroke-width\",c).call(n.stroke,l)}},36961:function(t,e,r){\"use strict\";var n=r(36640);t.exports={x:n.x,y:n.y,xy:{valType:\"data_array\",editType:\"calc\"},indices:{valType:\"data_array\",editType:\"calc\"},xbounds:{valType:\"data_array\",editType:\"calc\"},ybounds:{valType:\"data_array\",editType:\"calc\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1,editType:\"calc\"},blend:{valType:\"boolean\",dflt:null,editType:\"calc\"},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5,editType:\"calc\"},sizemax:{valType:\"number\",min:.1,dflt:20,editType:\"calc\"},border:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},arearatio:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},transforms:void 0}},71593:function(t,e,r){\"use strict\";var n=r(99098).gl_pointcloud2d,i=r(34809).isArrayOrTypedArray,a=r(55010),o=r(32919).findExtremes,s=r(11539);function l(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var c=l.prototype;c.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:i(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},c.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=s(t,{})},c.updateFast=function(t){var e,r,n,i,s,l,c=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,h=this.pickXYData=t.xy,f=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(h){if(n=h,e=h.length>>>1,f)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;ld[2]&&(d[2]=i),sd[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;ld[2]&&(d[2]=i),sd[3]&&(d[3]=s);this.idToIndex=r,this.pointcloudOptions.idToIndex=r,this.pointcloudOptions.positions=n;var m=a(t.marker.color),g=a(t.marker.border.color),y=t.opacity*t.marker.opacity;m[3]*=y,this.pointcloudOptions.color=m;var v=t.marker.blend;null===v&&(v=c.length<100||u.length<100),this.pointcloudOptions.blend=v,g[3]*=y,this.pointcloudOptions.borderColor=g;var x=t.marker.sizemin,_=Math.max(t.marker.sizemax,t.marker.sizemin);this.pointcloudOptions.sizeMin=x,this.pointcloudOptions.sizeMax=_,this.pointcloudOptions.areaRatio=t.marker.border.arearatio,this.pointcloud.update(this.pointcloudOptions);var b=this.scene.xaxis,w=this.scene.yaxis,T=_/2||.5;t._extremes[b._id]=o(b,[d[0],d[2]],{ppad:T}),t._extremes[w._id]=o(w,[d[1],d[3]],{ppad:T})},c.dispose=function(){this.pointcloud.dispose()},t.exports=function(t,e){var r=new l(t,e.uid);return r.update(e),r}},75526:function(t,e,r){\"use strict\";var n=r(34809),i=r(36961);t.exports=function(t,e,r){function a(r,a){return n.coerce(t,e,i,r,a)}a(\"x\"),a(\"y\"),a(\"xbounds\"),a(\"ybounds\"),t.xy&&t.xy instanceof Float32Array&&(e.xy=t.xy),t.indices&&t.indices instanceof Int32Array&&(e.indices=t.indices),a(\"text\"),a(\"marker.color\",r),a(\"marker.opacity\"),a(\"marker.blend\"),a(\"marker.sizemin\"),a(\"marker.sizemax\"),a(\"marker.border.color\",r),a(\"marker.border.arearatio\"),e._length=null}},15186:function(t,e,r){\"use strict\";[\"*pointcloud* trace is deprecated!\",\"Please consider switching to the *scattergl* trace type.\"].join(\" \"),t.exports={attributes:r(36961),supplyDefaults:r(75526),calc:r(37593),plot:r(71593),moduleType:\"trace\",name:\"pointcloud\",basePlotModule:r(24585),categories:[\"gl\",\"gl2d\",\"showLegend\"],meta:{}}},33795:function(t,e,r){\"use strict\";var n=r(80337),i=r(9829),a=r(10229),o=r(70192),s=r(13792).u,l=r(3208).rb,c=r(87163),u=r(78032).templatedArray,h=r(80712).descriptionOnlyNumbers,f=r(93049).extendFlat,p=r(13582).overrideAll;(t.exports=p({hoverinfo:f({},i.hoverinfo,{flags:[],arrayOk:!1}),hoverlabel:o.hoverlabel,domain:s({name:\"sankey\",trace:!0}),orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"h\"},valueformat:{valType:\"string\",dflt:\".3s\",description:h(\"value\")},valuesuffix:{valType:\"string\",dflt:\"\"},arrangement:{valType:\"enumerated\",values:[\"snap\",\"perpendicular\",\"freeform\",\"fixed\"],dflt:\"snap\"},textfont:n({autoShadowDflt:!0}),customdata:void 0,node:{label:{valType:\"data_array\",dflt:[]},groups:{valType:\"info_array\",impliedEdits:{x:[],y:[]},dimensions:2,freeLength:!0,dflt:[],items:{valType:\"number\",editType:\"calc\"}},x:{valType:\"data_array\",dflt:[]},y:{valType:\"data_array\",dflt:[]},color:{valType:\"color\",arrayOk:!0},customdata:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:a.defaultLine,arrayOk:!0},width:{valType:\"number\",min:0,dflt:.5,arrayOk:!0}},pad:{valType:\"number\",arrayOk:!1,min:0,dflt:20},thickness:{valType:\"number\",arrayOk:!1,min:1,dflt:20},hoverinfo:{valType:\"enumerated\",values:[\"all\",\"none\",\"skip\"],dflt:\"all\"},hoverlabel:o.hoverlabel,hovertemplate:l({},{keys:[\"value\",\"label\"]}),align:{valType:\"enumerated\",values:[\"justify\",\"left\",\"right\",\"center\"],dflt:\"justify\"}},link:{arrowlen:{valType:\"number\",min:0,dflt:0},label:{valType:\"data_array\",dflt:[]},color:{valType:\"color\",arrayOk:!0},hovercolor:{valType:\"color\",arrayOk:!0},customdata:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:a.defaultLine,arrayOk:!0},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0}},source:{valType:\"data_array\",dflt:[]},target:{valType:\"data_array\",dflt:[]},value:{valType:\"data_array\",dflt:[]},hoverinfo:{valType:\"enumerated\",values:[\"all\",\"none\",\"skip\"],dflt:\"all\"},hoverlabel:o.hoverlabel,hovertemplate:l({},{keys:[\"value\",\"label\"]}),colorscales:u(\"concentrationscales\",{editType:\"calc\",label:{valType:\"string\",editType:\"calc\",dflt:\"\"},cmax:{valType:\"number\",editType:\"calc\",dflt:1},cmin:{valType:\"number\",editType:\"calc\",dflt:0},colorscale:f(c().colorscale,{dflt:[[0,\"white\"],[1,\"black\"]]})})}},\"calc\",\"nested\")).transforms=void 0},42229:function(t,e,r){\"use strict\";var n=r(13582).overrideAll,i=r(4173).eV,a=r(16506),o=r(6811),s=r(27983),l=r(14751),c=r(44844).prepSelect,u=r(34809),h=r(33626),f=\"sankey\";function p(t,e){var r=t._fullData[e],n=t._fullLayout,i=n.dragmode,a=\"pan\"===n.dragmode?\"move\":\"crosshair\",o=r._bgRect;if(o&&\"pan\"!==i&&\"zoom\"!==i){s(o,a);var f={_id:\"x\",c2p:u.identity,_offset:r._sankey.translateX,_length:r._sankey.width},p={_id:\"y\",c2p:u.identity,_offset:r._sankey.translateY,_length:r._sankey.height},d={gd:t,element:o.node(),plotinfo:{id:e,xaxis:f,yaxis:p,fillRangeItems:u.noop},subplot:e,xaxes:[f],yaxes:[p],doneFnCompleted:function(r){var n,i=t._fullData[e],a=i.node.groups.slice(),o=[];function s(t){for(var e=i._sankey.graph.nodes,r=0;rx&&(x=a.source[e]),a.target[e]>x&&(x=a.target[e]);var _,b=x+1;t.node._count=b;var w=t.node.groups,T={};for(e=0;e0&&s(C,b)&&s(L,b)&&(!T.hasOwnProperty(C)||!T.hasOwnProperty(L)||T[C]!==T[L])){T.hasOwnProperty(L)&&(L=T[L]),T.hasOwnProperty(C)&&(C=T[C]),L=+L,p[C=+C]=p[L]=!0;var I=\"\";a.label&&a.label[e]&&(I=a.label[e]);var P=null;I&&d.hasOwnProperty(I)&&(P=d[I]),c.push({pointNumber:e,label:I,color:u?a.color[e]:a.color,hovercolor:h?a.hovercolor[e]:a.hovercolor,customdata:f?a.customdata[e]:a.customdata,concentrationscale:P,source:C,target:L,value:+E}),S.source.push(C),S.target.push(L)}}var z=b+w.length,O=o(r.color),D=o(r.customdata),R=[];for(e=0;eb-1,childrenNodes:[],pointNumber:e,label:F,color:O?r.color[e]:r.color,customdata:D?r.customdata[e]:r.customdata})}var B=!1;return function(t,e,r){for(var a=i.init2dArray(t,0),o=0;o1}))}(z,S.source,S.target)&&(B=!0),{circular:B,links:c,nodes:R,groups:w,groupLookup:T}}(e);return a({circular:r.circular,_nodes:r.nodes,_links:r.links,_groups:r.groups,_groupLookup:r.groupLookup})}},21541:function(t){\"use 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e.group&&(s=f.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:u.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 C(t){t.call(E)}function 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y=s.c2p(f.x,!0),v=l.c2p(f.y,!0),x=f.mrc||1,_=o.hoverlabel;_&&(f.hbg=Array.isArray(_.bgcolor)?_.bgcolor[h]:_.bgcolor,f.hbc=Array.isArray(_.bordercolor)?_.bordercolor[h]:_.bordercolor,f.hts=i.isArrayOrTypedArray(_.font.size)?_.font.size[h]:_.font.size,f.htc=Array.isArray(_.font.color)?_.font.color[h]:_.font.color,f.htf=Array.isArray(_.font.family)?_.font.family[h]:_.font.family,f.hnl=i.isArrayOrTypedArray(_.namelength)?_.namelength[h]:_.namelength);var b=o.hoverinfo;b&&(f.hi=Array.isArray(b)?b[h]:b);var w=o.hovertemplate;w&&(f.ht=Array.isArray(w)?w[h]:w);var T={};T[t.index]=f;var k=o._origX,A=o._origY,M=i.extendFlat({},t,{color:a(o,f),x0:y-x,x1:y+x,xLabelVal:k?k[h]:f.x,y0:v-x,y1:v+x,yLabelVal:A?A[h]:f.y,cd:T,distance:c,spikeDistance:u,hovertemplate:f.ht});return f.htx?M.text=f.htx:f.tx?M.text=f.tx:o.text&&(M.text=o.text),i.fillText(f,o,M),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(f,o,M),M}t.exports={hoverPoints:function(t,e,r,n){var 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v=360*(e>=0?Math.floor((e+180)/360):Math.ceil((e-180)/360)),x=e-v;if(n.getClosest(o,(function(t){var e=t.lonlat;if(e[0]===s)return 1/0;if(g&&-1===d.indexOf(t.i+1))return 1/0;var n=i.modHalf(e[0],360),a=e[1],o=p.project([n,a]),l=o.x-h.c2p([x,a]),c=o.y-f.c2p([n,r]),u=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(l*l+c*c)-u,1-3/u)}),t),!1!==t.index){var _=o[t.index],b=_.lonlat,w=[i.modHalf(b[0],360)+v,b[1]],T=h.c2p(w),k=f.c2p(w),A=_.mrc||1;t.x0=T-A,t.x1=T+A,t.y0=k-A,t.y1=k+A;var M={};M[u.subplot]={_subplot:p};var S=u._module.formatLabels(_,u,M);return t.lonLabel=S.lonLabel,t.latLabel=S.latLabel,t.color=a(u,_),t.extraText=c(u,_,o[0].t.labels),t.hovertemplate=u.hovertemplate,[t]}},getExtraText:c}},30929:function(t,e,r){\"use 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s(t,e,r,n){this.type=\"scattermap\",this.subplot=t,this.uid=e,this.clusterEnabled=r,this.isHidden=n,this.sourceIds={fill:\"source-\"+e+\"-fill\",line:\"source-\"+e+\"-line\",circle:\"source-\"+e+\"-circle\",symbol:\"source-\"+e+\"-symbol\",cluster:\"source-\"+e+\"-circle\",clusterCount:\"source-\"+e+\"-circle\"},this.layerIds={fill:a+e+\"-fill\",line:a+e+\"-line\",circle:a+e+\"-circle\",symbol:a+e+\"-symbol\",cluster:a+e+\"-cluster\",clusterCount:a+e+\"-cluster-count\"},this.below=null}var l=s.prototype;l.addSource=function(t,e,r){var i={type:\"geojson\",data:e.geojson};r&&r.enabled&&n.extendFlat(i,{cluster:!0,clusterMaxZoom:r.maxzoom});var a=this.subplot.map.getSource(this.sourceIds[t]);a?a.setData(e.geojson):this.subplot.map.addSource(this.sourceIds[t],i)},l.setSourceData=function(t,e){this.subplot.map.getSource(this.sourceIds[t]).setData(e.geojson)},l.addLayer=function(t,e,r){var 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n=r(10721),i=r(63821).BADNUM,a=r(77272),o=r(99203),s=r(48861),l=r(26544).calcMarkerSize;t.exports=function(t,e){for(var r=t._fullLayout,c=e.subplot,u=r[c].realaxis,h=r[c].imaginaryaxis,f=u.makeCalcdata(e,\"real\"),p=h.makeCalcdata(e,\"imag\"),d=e._length,m=new Array(d),g=0;g\")}}t.exports={hoverPoints:function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index)return o;var l=t.subplot,c=s.cd[s.index],u=s.trace;if(l.isPtInside(c))return s.xLabelVal=void 0,s.yLabelVal=void 0,i(c,u,l,s),s.hovertemplate=u.hovertemplate,o}},makeHoverPointText:i}},73304:function(t,e,r){\"use 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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}},80809:function(t,e,r){\"use strict\";t.exports={moduleType:\"trace\",name:\"sunburst\",basePlotModule:r(14724),categories:[],animatable:!0,attributes:r(56708),layoutAttributes:r(98959),supplyDefaults:r(33459),supplyLayoutDefaults:r(75816),calc:r(14852).calc,crossTraceCalc:r(14852).crossTraceCalc,plot:r(19718).plot,style:r(98972).style,colorbar:r(21146),meta:{}}},98959:function(t){\"use strict\";t.exports={sunburstcolorway:{valType:\"colorlist\",editType:\"calc\"},extendsunburstcolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},75816:function(t,e,r){\"use strict\";var n=r(34809),i=r(98959);t.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"sunburstcolorway\",e.colorway),r(\"extendsunburstcolors\")}},19718:function(t,e,r){\"use strict\";var n=r(45568),i=r(92264),a=r(88640).GW,o=r(62203),s=r(34809),l=r(30635),c=r(84102),u=c.recordMinTextSize,h=c.clearMinTextSize,f=r(35734),p=r(37252).getRotationAngle,d=f.computeTransform,m=f.transformInsideText,g=r(98972).styleOne,y=r(6851).resizeText,v=r(44691),x=r(2032),_=r(33108);function b(t,r,c,h){var f=t._context.staticPlot,y=t._fullLayout,b=!y.uniformtext.mode&&_.hasTransition(h),T=n.select(c).selectAll(\"g.slice\"),k=r[0],A=k.trace,M=k.hierarchy,S=_.findEntryWithLevel(M,A.level),E=_.getMaxDepth(A),C=y._size,L=A.domain,I=C.w*(L.x[1]-L.x[0]),P=C.h*(L.y[1]-L.y[0]),z=.5*Math.min(I,P),O=k.cx=C.l+C.w*(L.x[1]+L.x[0])/2,D=k.cy=C.t+C.h*(1-L.y[0])-P/2;if(!S)return T.remove();var R=null,F={};b&&T.each((function(t){F[_.getPtId(t)]={rpx0:t.rpx0,rpx1:t.rpx1,x0:t.x0,x1:t.x1,transform:t.transform},!R&&_.isEntry(t)&&(R=t)}));var B=function(t){return i.partition().size([2*Math.PI,t.height+1])(t)}(S).descendants(),N=S.height+1,j=0,U=E;k.hasMultipleRoots&&_.isHierarchyRoot(S)&&(B=B.slice(1),N-=1,j=1,U+=1),B=B.filter((function(t){return t.y1<=U}));var V=p(A.rotation);V&&B.forEach((function(t){t.x0+=V,t.x1+=V}));var q=Math.min(N,E),H=function(t){return(t-j)/q*z},G=function(t,e){return[t*Math.cos(e),-t*Math.sin(e)]},Z=function(t){return s.pathAnnulus(t.rpx0,t.rpx1,t.x0,t.x1,O,D)},W=function(t){return O+w(t)[0]*(t.transform.rCenter||0)+(t.transform.x||0)},Y=function(t){return D+w(t)[1]*(t.transform.rCenter||0)+(t.transform.y||0)};(T=T.data(B,_.getPtId)).enter().append(\"g\").classed(\"slice\",!0),b?T.exit().transition().each((function(){var t=n.select(this);t.select(\"path.surface\").transition().attrTween(\"d\",(function(t){var e=function(t){var e,r=_.getPtId(t),n=F[r],i=F[_.getPtId(S)];if(i){var o=(t.x1>i.x1?2*Math.PI:0)+V;e=t.rpx1X?2*Math.PI:0)+V;e={x0:i,x1:i}}else e={rpx0:z,rpx1:z},s.extendFlat(e,K(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))}})):h.attr(\"d\",Z),c.call(v,S,t,r,{eventDataKeys:x.eventDataKeys,transitionTime:x.CLICK_TRANSITION_TIME,transitionEasing:x.CLICK_TRANSITION_EASING}).call(_.setSliceCursor,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:t._transitioning}),h.call(g,i,A,t);var p=s.ensureSingle(c,\"g\",\"slicetext\"),w=s.ensureSingle(p,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),T=s.ensureUniformFontSize(t,_.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=m(M,i,k),i.transform.targetX=W(i),i.transform.targetY=Y(i);var E=function(t,e){var r=t.transform;return d(r,e),r.fontSize=T.size,u(A.type,r,y),s.getTextTransform(r)};b?w.transition().attrTween(\"transform\",(function(t){var e=function(t){var e,r=F[_.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,K(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),c=a(e.x0,t.x0),h=a(e.x1,t.x1),f=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,m=a(e.transform.rCenter,n.rCenter);return function(t){var e=l(t),r=c(t),i=h(t),a=function(t){return m(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 u(A.type,n,y),{transform:{targetX:W(s),targetY:Y(s),scale:f(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,c=!r,u=!s.uniformtext.mode&&_.hasTransition(r);h(\"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(),u?(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){b(t,e,this,r)}))}))):(a.each((function(e){b(t,e,this,r)})),s.uniformtext.mode&&y(t,s._sunburstlayer.selectAll(\".trace\"),\"sunburst\")),c&&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,c=n[0],u=t.data.data,h=c.hierarchy,f=_.isHierarchyRoot(t),p=_.getParent(h,t),d=_.getValue(t);if(!a){var m,g=o.split(\"+\"),y=function(t){return-1!==g.indexOf(t)},v=[];if(y(\"label\")&&u.label&&v.push(u.label),u.hasOwnProperty(\"v\")&&y(\"value\")&&v.push(_.formatValue(u.v,l)),!f){y(\"current path\")&&v.push(_.getPath(t.data));var x=0;y(\"percent parent\")&&x++,y(\"percent entry\")&&x++,y(\"percent root\")&&x++;var b=x>1;if(x){var w,T=function(t){m=_.formatPercent(w,l),b&&(m+=\" of \"+t),v.push(m)};y(\"percent parent\")&&!f&&(w=d/_.getValue(p),T(\"parent\")),y(\"percent entry\")&&(w=d/_.getValue(e),T(\"entry\")),y(\"percent root\")&&(w=d/_.getValue(h),T(\"root\"))}}return y(\"text\")&&(m=s.castOption(r,u.i,\"text\"),s.isValidTextValue(m)&&v.push(m)),v.join(\"
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h=t.exports=c(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(28379);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\"})}},27159:function(t,e,r){\"use strict\";var n=r(99098).gl_surface3d,i=r(99098).ndarray,a=r(99098).ndarray_linear_interpolate.d2,o=r(69295),s=r(78106),l=r(34809).isArrayOrTypedArray,c=r(46998).parseColorScale,u=r(55010),h=r(88856).extractOpts;function f(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=f.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 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){null!=t.dataCoordinate[a]&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var o=this.data.hovertext||this.data.text;return l(o)&&o[i]&&void 0!==o[i][n]?t.textLabel=o[i][n]:t.textLabel=o||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var 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m(t,e){if(t0){r=d[n];break}return r}function v(t,e){if(!(t<1||e<1)){for(var r=g(t),n=g(e),i=1,a=0;ab;)r--,r/=y(r),++r<_&&(r=b);var n=Math.round(r/t);return n>1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],a=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,c=1+a+1,u=i(new Float32Array(l*c),[l,c]),h=[1/e,0,0,0,1/r,0,0,0,1],f=0;f0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(i[t]=!0,e=this.contourStart[t];ea&&(this.minValues[e]=a),this.maxValues[e]\",maxDimensionCount:60,overdrag:45,releaseTransitionDuration:120,releaseTransitionEase:\"cubic-out\",scrollbarCaptureWidth:18,scrollbarHideDelay:1e3,scrollbarHideDuration:1e3,scrollbarOffset:5,scrollbarWidth:8,transitionDuration:100,transitionEase:\"cubic-out\",uplift:5,wrapSpacer:\" \",wrapSplitCharacter:\" 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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;et.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;rt.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;nt.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 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a=0,o=0;o>26,this.words[o]=67108863&e;for(;0!==a&&o>26,this.words[o]=67108863&e;if(0===a&&o>>13,p=0|o[1],d=8191&p,m=p>>>13,g=0|o[2],y=8191&g,v=g>>>13,x=0|o[3],_=8191&x,b=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],C=8191&E,L=E>>>13,I=0|o[7],P=8191&I,z=I>>>13,O=0|o[8],D=8191&O,R=O>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,q=0|s[1],H=8191&q,G=q>>>13,Z=0|s[2],W=8191&Z,Y=Z>>>13,X=0|s[3],$=8191&X,J=X>>>13,K=0|s[4],Q=8191&K,tt=K>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ht=8191&ut,ft=ut>>>13,pt=0|s[9],dt=8191&pt,mt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(c+(n=Math.imul(h,U))|0)+((8191&(i=(i=Math.imul(h,V))+Math.imul(f,U)|0))<<13)|0;c=((a=Math.imul(f,V))+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(m,U)|0,a=Math.imul(m,V);var yt=(c+(n=n+Math.imul(h,H)|0)|0)+((8191&(i=(i=i+Math.imul(h,G)|0)+Math.imul(f,H)|0))<<13)|0;c=((a=a+Math.imul(f,G)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(y,U),i=(i=Math.imul(y,V))+Math.imul(v,U)|0,a=Math.imul(v,V),n=n+Math.imul(d,H)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(m,H)|0,a=a+Math.imul(m,G)|0;var vt=(c+(n=n+Math.imul(h,W)|0)|0)+((8191&(i=(i=i+Math.imul(h,Y)|0)+Math.imul(f,W)|0))<<13)|0;c=((a=a+Math.imul(f,Y)|0)+(i>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(_,U),i=(i=Math.imul(_,V))+Math.imul(b,U)|0,a=Math.imul(b,V),n=n+Math.imul(y,H)|0,i=(i=i+Math.imul(y,G)|0)+Math.imul(v,H)|0,a=a+Math.imul(v,G)|0,n=n+Math.imul(d,W)|0,i=(i=i+Math.imul(d,Y)|0)+Math.imul(m,W)|0,a=a+Math.imul(m,Y)|0;var xt=(c+(n=n+Math.imul(h,$)|0)|0)+((8191&(i=(i=i+Math.imul(h,J)|0)+Math.imul(f,$)|0))<<13)|0;c=((a=a+Math.imul(f,J)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(_,H)|0,i=(i=i+Math.imul(_,G)|0)+Math.imul(b,H)|0,a=a+Math.imul(b,G)|0,n=n+Math.imul(y,W)|0,i=(i=i+Math.imul(y,Y)|0)+Math.imul(v,W)|0,a=a+Math.imul(v,Y)|0,n=n+Math.imul(d,$)|0,i=(i=i+Math.imul(d,J)|0)+Math.imul(m,$)|0,a=a+Math.imul(m,J)|0;var _t=(c+(n=n+Math.imul(h,Q)|0)|0)+((8191&(i=(i=i+Math.imul(h,tt)|0)+Math.imul(f,Q)|0))<<13)|0;c=((a=a+Math.imul(f,tt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,H)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,H)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(_,W)|0,i=(i=i+Math.imul(_,Y)|0)+Math.imul(b,W)|0,a=a+Math.imul(b,Y)|0,n=n+Math.imul(y,$)|0,i=(i=i+Math.imul(y,J)|0)+Math.imul(v,$)|0,a=a+Math.imul(v,J)|0,n=n+Math.imul(d,Q)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(m,Q)|0,a=a+Math.imul(m,tt)|0;var bt=(c+(n=n+Math.imul(h,rt)|0)|0)+((8191&(i=(i=i+Math.imul(h,nt)|0)+Math.imul(f,rt)|0))<<13)|0;c=((a=a+Math.imul(f,nt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(C,U),i=(i=Math.imul(C,V))+Math.imul(L,U)|0,a=Math.imul(L,V),n=n+Math.imul(M,H)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,H)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,W)|0,i=(i=i+Math.imul(T,Y)|0)+Math.imul(k,W)|0,a=a+Math.imul(k,Y)|0,n=n+Math.imul(_,$)|0,i=(i=i+Math.imul(_,J)|0)+Math.imul(b,$)|0,a=a+Math.imul(b,J)|0,n=n+Math.imul(y,Q)|0,i=(i=i+Math.imul(y,tt)|0)+Math.imul(v,Q)|0,a=a+Math.imul(v,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0;var wt=(c+(n=n+Math.imul(h,at)|0)|0)+((8191&(i=(i=i+Math.imul(h,ot)|0)+Math.imul(f,at)|0))<<13)|0;c=((a=a+Math.imul(f,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(P,U),i=(i=Math.imul(P,V))+Math.imul(z,U)|0,a=Math.imul(z,V),n=n+Math.imul(C,H)|0,i=(i=i+Math.imul(C,G)|0)+Math.imul(L,H)|0,a=a+Math.imul(L,G)|0,n=n+Math.imul(M,W)|0,i=(i=i+Math.imul(M,Y)|0)+Math.imul(S,W)|0,a=a+Math.imul(S,Y)|0,n=n+Math.imul(T,$)|0,i=(i=i+Math.imul(T,J)|0)+Math.imul(k,$)|0,a=a+Math.imul(k,J)|0,n=n+Math.imul(_,Q)|0,i=(i=i+Math.imul(_,tt)|0)+Math.imul(b,Q)|0,a=a+Math.imul(b,tt)|0,n=n+Math.imul(y,rt)|0,i=(i=i+Math.imul(y,nt)|0)+Math.imul(v,rt)|0,a=a+Math.imul(v,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0;var Tt=(c+(n=n+Math.imul(h,lt)|0)|0)+((8191&(i=(i=i+Math.imul(h,ct)|0)+Math.imul(f,lt)|0))<<13)|0;c=((a=a+Math.imul(f,ct)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),i=(i=Math.imul(D,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(P,H)|0,i=(i=i+Math.imul(P,G)|0)+Math.imul(z,H)|0,a=a+Math.imul(z,G)|0,n=n+Math.imul(C,W)|0,i=(i=i+Math.imul(C,Y)|0)+Math.imul(L,W)|0,a=a+Math.imul(L,Y)|0,n=n+Math.imul(M,$)|0,i=(i=i+Math.imul(M,J)|0)+Math.imul(S,$)|0,a=a+Math.imul(S,J)|0,n=n+Math.imul(T,Q)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,Q)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(_,rt)|0,i=(i=i+Math.imul(_,nt)|0)+Math.imul(b,rt)|0,a=a+Math.imul(b,nt)|0,n=n+Math.imul(y,at)|0,i=(i=i+Math.imul(y,ot)|0)+Math.imul(v,at)|0,a=a+Math.imul(v,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ct)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ct)|0;var kt=(c+(n=n+Math.imul(h,ht)|0)|0)+((8191&(i=(i=i+Math.imul(h,ft)|0)+Math.imul(f,ht)|0))<<13)|0;c=((a=a+Math.imul(f,ft)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(D,H)|0,i=(i=i+Math.imul(D,G)|0)+Math.imul(R,H)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(P,W)|0,i=(i=i+Math.imul(P,Y)|0)+Math.imul(z,W)|0,a=a+Math.imul(z,Y)|0,n=n+Math.imul(C,$)|0,i=(i=i+Math.imul(C,J)|0)+Math.imul(L,$)|0,a=a+Math.imul(L,J)|0,n=n+Math.imul(M,Q)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,Q)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(_,at)|0,i=(i=i+Math.imul(_,ot)|0)+Math.imul(b,at)|0,a=a+Math.imul(b,ot)|0,n=n+Math.imul(y,lt)|0,i=(i=i+Math.imul(y,ct)|0)+Math.imul(v,lt)|0,a=a+Math.imul(v,ct)|0,n=n+Math.imul(d,ht)|0,i=(i=i+Math.imul(d,ft)|0)+Math.imul(m,ht)|0,a=a+Math.imul(m,ft)|0;var At=(c+(n=n+Math.imul(h,dt)|0)|0)+((8191&(i=(i=i+Math.imul(h,mt)|0)+Math.imul(f,dt)|0))<<13)|0;c=((a=a+Math.imul(f,mt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,H),i=(i=Math.imul(B,G))+Math.imul(N,H)|0,a=Math.imul(N,G),n=n+Math.imul(D,W)|0,i=(i=i+Math.imul(D,Y)|0)+Math.imul(R,W)|0,a=a+Math.imul(R,Y)|0,n=n+Math.imul(P,$)|0,i=(i=i+Math.imul(P,J)|0)+Math.imul(z,$)|0,a=a+Math.imul(z,J)|0,n=n+Math.imul(C,Q)|0,i=(i=i+Math.imul(C,tt)|0)+Math.imul(L,Q)|0,a=a+Math.imul(L,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(_,lt)|0,i=(i=i+Math.imul(_,ct)|0)+Math.imul(b,lt)|0,a=a+Math.imul(b,ct)|0,n=n+Math.imul(y,ht)|0,i=(i=i+Math.imul(y,ft)|0)+Math.imul(v,ht)|0,a=a+Math.imul(v,ft)|0;var Mt=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,mt)|0)+Math.imul(m,dt)|0))<<13)|0;c=((a=a+Math.imul(m,mt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,W),i=(i=Math.imul(B,Y))+Math.imul(N,W)|0,a=Math.imul(N,Y),n=n+Math.imul(D,$)|0,i=(i=i+Math.imul(D,J)|0)+Math.imul(R,$)|0,a=a+Math.imul(R,J)|0,n=n+Math.imul(P,Q)|0,i=(i=i+Math.imul(P,tt)|0)+Math.imul(z,Q)|0,a=a+Math.imul(z,tt)|0,n=n+Math.imul(C,rt)|0,i=(i=i+Math.imul(C,nt)|0)+Math.imul(L,rt)|0,a=a+Math.imul(L,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ct)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ct)|0,n=n+Math.imul(_,ht)|0,i=(i=i+Math.imul(_,ft)|0)+Math.imul(b,ht)|0,a=a+Math.imul(b,ft)|0;var St=(c+(n=n+Math.imul(y,dt)|0)|0)+((8191&(i=(i=i+Math.imul(y,mt)|0)+Math.imul(v,dt)|0))<<13)|0;c=((a=a+Math.imul(v,mt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,$),i=(i=Math.imul(B,J))+Math.imul(N,$)|0,a=Math.imul(N,J),n=n+Math.imul(D,Q)|0,i=(i=i+Math.imul(D,tt)|0)+Math.imul(R,Q)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(P,rt)|0,i=(i=i+Math.imul(P,nt)|0)+Math.imul(z,rt)|0,a=a+Math.imul(z,nt)|0,n=n+Math.imul(C,at)|0,i=(i=i+Math.imul(C,ot)|0)+Math.imul(L,at)|0,a=a+Math.imul(L,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ct)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ct)|0,n=n+Math.imul(T,ht)|0,i=(i=i+Math.imul(T,ft)|0)+Math.imul(k,ht)|0,a=a+Math.imul(k,ft)|0;var Et=(c+(n=n+Math.imul(_,dt)|0)|0)+((8191&(i=(i=i+Math.imul(_,mt)|0)+Math.imul(b,dt)|0))<<13)|0;c=((a=a+Math.imul(b,mt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,Q),i=(i=Math.imul(B,tt))+Math.imul(N,Q)|0,a=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,i=(i=i+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(P,at)|0,i=(i=i+Math.imul(P,ot)|0)+Math.imul(z,at)|0,a=a+Math.imul(z,ot)|0,n=n+Math.imul(C,lt)|0,i=(i=i+Math.imul(C,ct)|0)+Math.imul(L,lt)|0,a=a+Math.imul(L,ct)|0,n=n+Math.imul(M,ht)|0,i=(i=i+Math.imul(M,ft)|0)+Math.imul(S,ht)|0,a=a+Math.imul(S,ft)|0;var Ct=(c+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,mt)|0)+Math.imul(k,dt)|0))<<13)|0;c=((a=a+Math.imul(k,mt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(D,at)|0,i=(i=i+Math.imul(D,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(P,lt)|0,i=(i=i+Math.imul(P,ct)|0)+Math.imul(z,lt)|0,a=a+Math.imul(z,ct)|0,n=n+Math.imul(C,ht)|0,i=(i=i+Math.imul(C,ft)|0)+Math.imul(L,ht)|0,a=a+Math.imul(L,ft)|0;var Lt=(c+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,mt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((a=a+Math.imul(S,mt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,i=(i=i+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ct)|0,n=n+Math.imul(P,ht)|0,i=(i=i+Math.imul(P,ft)|0)+Math.imul(z,ht)|0,a=a+Math.imul(z,ft)|0;var It=(c+(n=n+Math.imul(C,dt)|0)|0)+((8191&(i=(i=i+Math.imul(C,mt)|0)+Math.imul(L,dt)|0))<<13)|0;c=((a=a+Math.imul(L,mt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ct))+Math.imul(N,lt)|0,a=Math.imul(N,ct),n=n+Math.imul(D,ht)|0,i=(i=i+Math.imul(D,ft)|0)+Math.imul(R,ht)|0,a=a+Math.imul(R,ft)|0;var Pt=(c+(n=n+Math.imul(P,dt)|0)|0)+((8191&(i=(i=i+Math.imul(P,mt)|0)+Math.imul(z,dt)|0))<<13)|0;c=((a=a+Math.imul(z,mt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,ht),i=(i=Math.imul(B,ft))+Math.imul(N,ht)|0,a=Math.imul(N,ft);var zt=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(i=(i=i+Math.imul(D,mt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((a=a+Math.imul(R,mt)|0)+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863;var Ot=(c+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,mt))+Math.imul(N,dt)|0))<<13)|0;return c=((a=Math.imul(N,mt))+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,l[0]=gt,l[1]=yt,l[2]=vt,l[3]=xt,l[4]=_t,l[5]=bt,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Ct,l[14]=Lt,l[15]=It,l[16]=Pt,l[17]=zt,l[18]=Ot,0!==c&&(l[19]=c,r.length++),r};function m(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>>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):m(this,t,e),r},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o>>=1)i++;return 1<>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o>=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>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n=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>>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=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<o)for(this.length-=o,c=0;c=0&&(0!==u||c>=i);c--){var h=0|this.words[c];this.words[c]=u<<26-a|h>>>a,u=h&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<=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<=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>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!=(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c=0;h--){var f=67108864*(0|n.words[i.length+h])+(0|n.words[i.length+h-1]);for(f=Math.min(f/o|0,67108863),n._ishlnsubmul(i,f,h);0!==n.negative;)f--,n.negative=0,n._ishlnsubmul(i,1,h),n.isZero()||(n.negative^=1);s&&(s.words[h]=f)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=r.clone(),h=e.clone();!e.isZero();){for(var f=0,p=1;0==(e.words[0]&p)&&f<26;++f,p<<=1);if(f>0)for(e.iushrn(f);f-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(u),o.isub(h)),i.iushrn(1),o.iushrn(1);for(var d=0,m=1;0==(r.words[0]&m)&&d<26;++d,m<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(h)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(c)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var h=0,f=1;0==(r.words[0]&f)&&h<26;++h,f<<=1);if(h>0)for(r.iushrn(h);h-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<>>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:it.length)return 1;if(this.length=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){ni&&(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 v(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(){v.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function _(){v.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function b(){v.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function w(){v.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)}v.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},v.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=e0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},v.prototype.split=function(t,e){t.iushrn(this.n,0,e)},v.prototype.imulK=function(t){return t.imul(this.k)},i(x,v),x.prototype.split=function(t,e){for(var r=4194303,n=Math.min(t.length,9),i=0;i>>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>>=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 _;else if(\"p192\"===t)e=new b;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 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y=[{family:this.labelFont[0],style:this.labelFontStyle[0],weight:this.labelFontWeight[0],variant:this.labelFontVariant[0]},{family:this.labelFont[1],style:this.labelFontStyle[1],weight:this.labelFontWeight[1],variant:this.labelFontVariant[1]},{family:this.labelFont[2],style:this.labelFontStyle[2],weight:this.labelFontWeight[2],variant:this.labelFontVariant[2]}],v=[{family:this.tickFont[0],style:this.tickFontStyle[0],weight:this.tickFontWeight[0],variant:this.tickFontVariant[0]},{family:this.tickFont[1],style:this.tickFontStyle[1],weight:this.tickFontWeight[1],variant:this.tickFontVariant[1]},{family:this.tickFont[2],style:this.tickFontStyle[2],weight:this.tickFontWeight[2],variant:this.tickFontVariant[2]}];this._text?this._text&&(g||u)&&this._text.update(this.bounds,this.labels,y,this.ticks,v):this._text=n(this.gl,this.bounds,this.labels,y,this.ticks,v),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var g=[new m,new m,new m];function y(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var h=a,f=s,p=o,d=l;c&1<0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var v=[0,0,0],x={model:l,view:l,projection:l,_ortho:!1};d.isOpaque=function(){return!0},d.isTransparent=function(){return!1},d.drawTransparent=function(t){};var _=[0,0,0],b=[0,0,0],w=[0,0,0];d.draw=function(t){t=t||x;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),u=c.cubeEdges,h=c.axis,p=n[12],d=n[13],m=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*p+i[7]*d+i[11]*m+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=u[A],this.lastCubeProps.axis[A]=h[A];var M=g;for(A=0;A<3;++A)y(g[A],A,this.bounds,u,h);e=this.gl;var S,E,C,L=v;for(A=0;A<3;++A)this.backgroundEnable[A]?L[A]=h[A]:L[A]=0;for(this._background.draw(r,n,i,a,L,this.backgroundColor),this._lines.bind(r,n,i,this),A=0;A<3;++A){var I=[0,0,0];h[A]>0?I[A]=a[1][A]:I[A]=a[0][A];for(var P=0;P<2;++P){var z=(A+1+P)%3,O=(A+1+(1^P))%3;this.gridEnable[z]&&this._lines.drawGrid(z,O,this.bounds,I,this.gridColor[z],this.gridWidth[z]*this.pixelRatio)}for(P=0;P<2;++P)z=(A+1+P)%3,O=(A+1+(1^P))%3,this.zeroEnable[O]&&Math.min(a[0][O],a[1][O])<=0&&Math.max(a[0][O],a[1][O])>=0&&this._lines.drawZero(z,O,this.bounds,I,this.zeroLineColor[O],this.zeroLineWidth[O]*this.pixelRatio)}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var D=f(_,M[A].primalMinor),R=f(b,M[A].mirrorMinor),F=this.lineTickLength;for(P=0;P<3;++P){var B=k/r[5*P];D[P]*=F[P]*B,R[P]*=F[P]*B}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,D,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){(C=[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,q=f(w,M[A].primalOffset);for(P=0;P<3;++P)this.lineTickEnable[A]&&(q[P]+=k*U[P]*Math.max(this.lineTickLength[P],0)/r[5*P]);var H=[0,0,0];if(H[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]),C=[0,0,0],j(A,U,V),P=0;P<3;++P)q[P]+=k*U[P]*this.tickPad[P]/r[5*P];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],q,this.tickColor[A],H,C,S)}if(this.labelEnable[A]){for(E=0,C=[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]),P=0;P<3;++P)q[P]+=k*U[P]*this.labelPad[P]/r[5*P];q[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],q,this.labelColor[A],[0,0,0],C,S)}}this._text.unbind()},d.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},5304:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,h=[0,0,0],f=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),h[l]=p,f[l]=p;for(var d=-1;d<=1;d+=2){h[c]=d;for(var m=-1;m<=1;m+=2)h[u]=m,e.push(h[0],h[1],h[2],f[0],f[1],f[2]),s+=1}var g=c;c=u,u=g}var y=n(t,new Float32Array(e)),v=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}],v),_=a(t);return _.attributes.position.location=0,_.attributes.normal.location=1,new o(t,y,x,_)};var n=r(2762),i=r(8116),a=r(1879).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()}},6429:function(t,e,r){\"use strict\";t.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var v=0,x=0;x<2;++x){u[2]=a[x][2];for(var _=0;_<2;++_){u[1]=a[_][1];for(var b=0;b<2;++b)u[0]=a[b][0],f(l[v],u,s),v+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)c[x][k]=l[x][k]/T;p&&(c[x][2]*=-1),T<0&&(w<0||c[x][2]E&&(w|=1<E&&(w|=1<c[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x)(N=R^1<c[B][0]&&(B=N))}var j=m;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===D?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,q=w;for(A=0;A<3;++A)V[A]=q&1< 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}\\n\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n gl_FragColor = color;\\n}\"]);e.Q=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n vec3 realNormal = signAxis * normal;\\n\\n if(dot(realNormal, enable) > 0.0) {\\n vec3 minRange = min(bounds[0], bounds[1]);\\n vec3 maxRange = max(bounds[0], bounds[1]);\\n vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n gl_Position = projection * (view * (model * vec4(nPosition, 1.0)));\\n } else {\\n gl_Position = vec4(0,0,0,0);\\n }\\n\\n colorChannel = abs(realNormal);\\n}\\n\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n gl_FragColor = colorChannel.x * colors[0] +\\n colorChannel.y * colors[1] +\\n colorChannel.z * colors[2];\\n}\"]);e.bg=function(t){return i(t,c,u,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},4935:function(t,e,r){\"use strict\";t.exports=function(t,e,r,i,o,l){var c=n(t),h=a(t,[{buffer:c,size:3}]),f=s(t);f.attributes.position.location=0;var p=new u(t,f,c,h);return p.update(e,r,i,o,l),p};var n=r(2762),a=r(8116),o=r(4359),s=r(1879).Q,l=window||i.global||{},c=l.__TEXT_CACHE||{};function u(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 h=u.prototype,f=[0,0];h.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,f[0]=this.gl.drawingBufferWidth,f[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=f},h.unbind=function(){this.vao.unbind()},h.update=function(t,e,r,n,i){var a=[];function s(t,e,r,n,i,s){var l=[r.style,r.weight,r.variant,r.family].join(\"_\"),u=c[l];u||(u=c[l]={});var h=u[e];h||(h=u[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.family,fontStyle:r.style,fontWeight:r.weight,fontVariant:r.variant,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,p=h.positions,d=h.cells,m=0,g=d.length;m=0;--v){var x=p[y[v]];a.push(f*x[0],-f*x[1],t)}}for(var l=[0,0,0],u=[0,0,0],h=[0,0,0],f=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){h[d]=a.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),f[d]=(a.length/3|0)-h[d],l[d]=a.length/3|0;for(var m=0;m=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,c=o%a;o<0?(l=0|-Math.ceil(l),c=0|-c):(l=0|Math.floor(l),c|=0);var u=\"\"+l;if(o<0&&(u=\"-\"+u),i){for(var h=\"\"+c;h.length=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;nr)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function u(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var h;h=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,\"uint16\"):u(t,\"float32\"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?h:h.subarray(0,t.length),e),n.free(h)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=c(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},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}},6405:function(t,e,r){\"use strict\";var n=r(2931);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,c=1/0,u=-1/0,h=1/0,f=-1/0,p=null,d=null,m=[],g=1/0,y=!1,v=\"raw\"===t.coneSizemode,x=0;xo&&(o=n.length(b)),x&&!v){var w=2*n.distance(p,_)/(n.length(d)+n.length(b));w?(g=Math.min(g,w),y=!1):y=!0}y||(p=_,d=b),m.push(b)}var T=[s,c,h],k=[l,u,f];e&&(e[0]=T,e[1]=k),0===o&&(o=1);var A=1/o;isFinite(g)||(g=1),a.vectorScale=g;var M=t.coneSize||(v?1:.5);t.absoluteConeSize&&(M=t.absoluteConeSize*A),a.coneScale=M,x=0;for(var S=0;x=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=u({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 c(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=[],h=[];this.cells=r,this.positions=n,this.vectors=i;var f=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,m=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],m=+t.vertexIntensityBounds[1];else for(var g=0;g0){var m=this.triShader;m.bind(),m.uniforms=c,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||h,n=t.view||h,i=t.projection||h,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),u=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),h=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));h.generateMipmap(),h.minFilter=t.LINEAR_MIPMAP_LINEAR,h.magFilter=t.LINEAR;var p=i(t),d=i(t),m=i(t),g=i(t),y=i(t),v=new f(t,h,l,u,p,d,y,m,g,a(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||\"cone\");return v.update(e),v}},614:function(t,e,r){var n=r(3236),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\"}]}},737: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\"}},5171:function(t,e,r){var 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n=r(7766);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 c=t.getExtension(\"WEBGL_draw_buffers\");if(!l&&c&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;au||r<0||r>u)throw new Error(\"gl-fbo: Parameters are too large for FBO\");var h=1;if(\"color\"in(n=n||{})){if((h=Math.max(0|n.color,0))<0)throw new Error(\"gl-fbo: Must specify a nonnegative number of colors\");if(h>1){if(!c)throw new Error(\"gl-fbo: Multiple draw buffer extension not supported\");if(h>t.getParameter(c.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error(\"gl-fbo: Context does not support \"+h+\" draw buffers\")}}var f=t.UNSIGNED_BYTE,p=t.getExtension(\"OES_texture_float\");if(n.float&&h>0){if(!p)throw new Error(\"gl-fbo: Context does not support floating point textures\");f=t.FLOAT}else 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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;yi||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=c(n),o=0;o>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var m=i.attributes;return this.positionBuffer.bind(),m.position.pointer(),this.weightBuffer.bind(),m.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),m.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),h.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},h.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var c,u,h,p,d=t.colorLevels||[0],m=t.colorValues||[0,0,0,1],g=d.length,y=this.bounds;l?(c=y[0]=r[0],u=y[1]=o[0],h=y[2]=r[r.length-1],p=y[3]=o[o.length-1]):(c=y[0]=r[0]+(r[1]-r[0])/2,u=y[1]=o[0]+(o[1]-o[0])/2,h=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 v=1/(h-c),x=1/(p-u),_=e[0],b=e[1];this.shape=[_,b];var w=(l?(_-1)*(b-1):_*b)*(f.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?_-1:_,C=l?b-1:b,L=0;L 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)}},5714:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=h(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=f(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}]),u=c(new Array(1024),[256,1,4]),p=0;p<1024;++p)u.data[p]=255;var d=a(e,u);d.wrap=e.REPEAT;var m=new y(e,r,o,s,l,d);return m.update(t),m};var n=r(2762),i=r(8116),a=r(7766),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(2478),c=r(9618),u=r(7319),h=u.createShader,f=u.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 m(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 v=y.prototype;v.isTransparent=function(){return this.hasAlpha},v.isOpaque=function(){return!this.hasAlpha},v.pickSlots=1,v.setPickBase=function(t){this.pickId=t},v.drawTransparent=v.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:m(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()}},v.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:m(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},v.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,u=0,h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],f=t.position||t.positions;if(f){var p=t.color||t.colors||[0,0,0,1],m=t.lineWidth||1,g=!1;t:for(e=1;e0){for(var w=0;w<24;++w)i.push(i[i.length-12]);u+=2,g=!0}continue t}h[0][r]=Math.min(h[0][r],_[r],b[r]),h[1][r]=Math.max(h[1][r],_[r],b[r])}Array.isArray(p[0])?(y=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],v=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):y=v=p,3===y.length&&(y=[y[0],y[1],y[2],1]),3===v.length&&(v=[v[0],v[1],v[2],1]),!this.hasAlpha&&y[3]<1&&(this.hasAlpha=!0),x=Array.isArray(m)?m.length>e-1?m[e-1]:m.length>0?m[m.length-1]:[0,0,0,1]:m;var T=s;if(s+=d(_,b),g){for(r=0;r<2;++r)i.push(_[0],_[1],_[2],b[0],b[1],b[2],T,x,y[0],y[1],y[2],y[3]);u+=2,g=!1}i.push(_[0],_[1],_[2],b[0],b[1],b[2],T,x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],T,-x,y[0],y[1],y[2],y[3],b[0],b[1],b[2],_[0],_[1],_[2],s,-x,v[0],v[1],v[2],v[3],b[0],b[1],b[2],_[0],_[1],_[2],s,x,v[0],v[1],v[2],v[3]),u+=4}}if(this.buffer.update(i),a.push(s),o.push(f[f.length-1].slice()),this.bounds=h,this.vertexCount=u,this.points=o,this.arcLength=a,\"dashes\"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e1.0001)return null;y+=g[h]}return Math.abs(y-1)>.001?null:[f,s(t,g),g]}},840:function(t,e,r){var n=r(3236),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n , view\\n , projection\\n , inverseModel;\\nuniform vec3 eyePosition\\n , lightPosition;\\n\\nvarying vec3 f_normal\\n , f_lightDirection\\n , f_eyeDirection\\n , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n return projection * (view * (model * vec4(p, 1.0)));\\n}\\n\\nvoid main() {\\n gl_Position = project(position);\\n\\n //Lighting geometry parameters\\n vec4 cameraCoordinate = view * vec4(position , 1.0);\\n cameraCoordinate.xyz /= cameraCoordinate.w;\\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n f_color = color;\\n f_data = position;\\n f_uv = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n float NdotH = max(x, 0.0001);\\n float cos2Alpha = NdotH * NdotH;\\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n float roughness2 = roughness * roughness;\\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n vec3 lightDirection,\\n vec3 viewDirection,\\n vec3 surfaceNormal,\\n float roughness,\\n float fresnel) {\\n\\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n //Half angle vector\\n vec3 H = normalize(lightDirection + viewDirection);\\n\\n //Geometric term\\n float NdotH = max(dot(surfaceNormal, H), 0.0);\\n float VdotH = max(dot(viewDirection, H), 0.000001);\\n float LdotH = max(dot(lightDirection, H), 0.000001);\\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n float G = min(1.0, min(G1, G2));\\n \\n //Distribution term\\n float D = beckmannDistribution(NdotH, roughness);\\n\\n //Fresnel term\\n float F = pow(1.0 - VdotN, fresnel);\\n\\n //Multiply terms and done\\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n , fresnel\\n , kambient\\n , kdiffuse\\n , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n , f_lightDirection\\n , f_eyeDirection\\n , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n if (f_color.a == 0.0 ||\\n outOfRange(clipBounds[0], clipBounds[1], f_data)\\n ) discard;\\n\\n vec3 N = normalize(f_normal);\\n vec3 L = normalize(f_lightDirection);\\n vec3 V = normalize(f_eyeDirection);\\n\\n if(gl_FrontFacing) {\\n N = -N;\\n }\\n\\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\\n\\n gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n gl_Position = projection * (view * (model * vec4(position, 1.0)));\\n f_color = color;\\n f_data = position;\\n f_uv = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n } else {\\n gl_Position = projection * (view * (model * vec4(position, 1.0)));\\n }\\n gl_PointSize = pointSize;\\n f_color = color;\\n f_uv = uv;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n if(dot(pointR, pointR) > 0.25) {\\n discard;\\n }\\n gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n gl_Position = projection * (view * (model * vec4(position, 1.0)));\\n f_id = id;\\n f_position = position;\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute float pointSize;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n } else {\\n gl_Position = projection * (view * (model * vec4(position, 1.0)));\\n gl_PointSize = pointSize;\\n }\\n f_id = id;\\n f_position = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n gl_Position = projection * (view * (model * vec4(position, 1.0)));\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);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:c,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},e.pickShader={vertex:u,fragment:h,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},e.pointPickShader={vertex:f,fragment:h,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},e.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},7201:function(t,e,r){\"use strict\";var n=r(9405),i=r(2762),a=r(8116),o=r(7766),s=r(8406),l=r(6760),c=r(7608),u=r(9618),h=r(6729),f=r(7765),p=r(1888),d=r(840),m=r(7626),g=d.meshShader,y=d.wireShader,v=d.pointShader,x=d.pickShader,_=d.pointPickShader,b=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,c,u,h,f,p,d,m,g,y,v,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=u,this.triangleNormals=f,this.triangleUVs=h,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=y,this.edgeIds=m,this.edgeVAO=v,this.edgeCount=0,this.pointPositions=x,this.pointColors=b,this.pointUVs=T,this.pointSizes=k,this.pointIds=_,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;rt&&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,v.vertex,v.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,_.vertex,_.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function C(t){var e=n(t,b.vertex,b.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=f(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l0&&((h=this.triShader).bind(),h.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&this.lineWidth>0&&((h=this.lineShader).bind(),h.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((h=this.pointShader).bind(),h.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()),this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((h=this.contourShader).bind(),h.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},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;ai[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[t],r.uniforms.angle=y[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),v[t]&&T&&(u[1^t]-=M*p*x[t],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=_[t],r.uniforms.angle=b[t],a.drawArrays(a.TRIANGLES,w,T)),u[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=M*p*m[t+2],ki[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[t+2],r.uniforms.angle=y[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),v[t+2]&&T&&(u[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=_[t+2],r.uniforms.angle=b[t+2],a.drawArrays(a.TRIANGLES,w,T))}),m.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-a[u])/(a[2+u]-a[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),m.bind=(f=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],h=a[o],m=a[o+2]-h,g=i[o],y=i[o+2]-g;p[o]=2*l/u*m/y,f[o]=2*(s-c)/u*m/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=f,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),m.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],h=[-1/0],f=l[o];for(e=0;e=0){var m=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(m,e[1],m,e[3],p[d],f[d]):o.drawLine(e[0],m,e[2],m,p[d],f[d])}}for(d=0;d=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},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.removeObject=function(t){for(var e=this.objects,r=0;rMath.abs(e))c.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-c.lastT())/20;c.pan(a,0,0,h*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=r(3025),i=r(6296),a=r(351),o=r(8512),s=r(24),l=r(7520)},799:function(t,e,r){var n=r(3236),i=r(9405),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\"}])}},4100:function(t,e,r){\"use strict\";var n=r(4437),i=r(3837),a=r(5445),o=r(4449),s=r(3589),l=r(2260),c=r(7169),u=r(351),h=r(4772),f=r(4040),p=r(799),d=r(9216)({tablet:!0,featureDetect:!0});function m(){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 v=t.bounds||[[-10,-10,-10],[10,10,10]],x=new m,_=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),b=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=[],C=[],L=[],I=[],P=!0,z=!0,O={view:null,projection:new Array(16),model:new Array(16),_ortho:!1},D=(z=!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:v,objects:E,shape:D,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:O,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,z=!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\",P=!0}}}function j(){for(var t=E.length,e=I.length,n=0;n0&&0===L[e-1];)L.pop(),I.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||{},P=!0,z=!0)},F.add=function(t){F._stopped||(t.axes=A,E.push(t),C.push(-1),P=!0,z=!0,j())},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),C.pop(),P=!0,z=!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;tx.distance)continue;for(var c=0;c 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\"])},4696:function(t,e,r){\"use strict\";var n=r(9405),i=r(2762),a=r(1888),o=r(6640);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,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),c=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e>>1;for(r=0;r=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var h=n.getParameter(n.BLEND),f=n.getParameter(n.DITHER);return h&&!this.blend&&n.disable(n.BLEND),f&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),h&&!this.blend&&n.enable(n.BLEND),f&&n.enable(n.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},783:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,c=e[0],u=e[1],h=e[2],f=e[3],p=r[0],d=r[1],m=r[2],g=r[3];return(a=c*p+u*d+h*m+f*g)<0&&(a=-a,p=-p,d=-d,m=-m,g=-g),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*h+l*m,t[3]=s*f+l*g,t}},5964:function(t){\"use strict\";t.exports=function(t){return t||0===t?t.toString():\"\"}},9366:function(t,e,r){\"use strict\";var n=r(4359);t.exports=function(t,e,r){var a=[e.style,e.weight,e.variant,e.family].join(\"_\"),o=i[a];if(o||(o=i[a]={}),t in o)return o[t];var s={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e.family,fontStyle:e.style,fontWeight:e.weight,fontVariant:e.variant,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},l=n(t,s);s.triangles=!1;var c,u,h=n(t,s);if(r&&1!==r){for(c=0;c max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n gl_Position = vec4(0,0,0,0);\\n } else {\\n float scale = 1.0;\\n if(distance(highlightId, id) < 0.0001) {\\n scale = highlightScale;\\n }\\n\\n vec4 worldPosition = model * vec4(position, 1);\\n vec4 viewPosition = view * worldPosition;\\n viewPosition = viewPosition / viewPosition.w;\\n vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n gl_Position = clipPosition;\\n interpColor = color;\\n pickId = id;\\n dataCoordinate = position;\\n }\\n}\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n gl_Position = vec4(0,0,0,0);\\n } else {\\n float scale = pixelRatio;\\n if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n scale *= highlightScale;\\n }\\n\\n vec4 worldPosition = model * vec4(position, 1.0);\\n vec4 viewPosition = view * worldPosition;\\n vec4 clipPosition = projection * viewPosition;\\n clipPosition /= clipPosition.w;\\n\\n gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n interpColor = color;\\n pickId = id;\\n dataCoordinate = position;\\n }\\n}\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n gl_Position = vec4(0,0,0,0);\\n } else {\\n float lscale = pixelRatio * scale;\\n if(distance(highlightId, id) < 0.0001) {\\n lscale *= highlightScale;\\n }\\n\\n vec4 clipCenter = projection * (view * (model * vec4(position, 1)));\\n vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n vec4 clipPosition = projection * (view * (model * vec4(dataPosition, 1)));\\n\\n gl_Position = clipPosition;\\n interpColor = color;\\n pickId = id;\\n dataCoordinate = dataPosition;\\n }\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n if (\\n outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n interpColor.a * opacity == 0.\\n ) discard;\\n gl_FragColor = interpColor * opacity;\\n}\\n\"]),c=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),u=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],h={vertex:a,fragment:l,attributes:u},f={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:a,fragment:c,attributes:u},m={vertex:o,fragment:c,attributes:u},g={vertex:s,fragment:c,attributes:u};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,h)},e.createOrtho=function(t){return y(t,f)},e.createProject=function(t){return y(t,p)},e.createPickPerspective=function(t){return y(t,d)},e.createPickOrtho=function(t){return y(t,m)},e.createPickProject=function(t){return y(t,g)}},8418:function(t,e,r){\"use strict\";var n=r(5219),i=r(2762),a=r(8116),o=r(1888),s=r(6760),l=r(1283),c=r(9366),u=r(5964),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],f=ArrayBuffer,p=DataView;function d(t){return Array.isArray(t)||function(t){return f.isView(t)&&!(t instanceof p)}(t)}function m(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 g(t,e,r,n){return m(n,n),m(n,n),m(n,n)}function y(t,e){this.index=t,this.dataCoordinate=this.position=e}function v(t){return!0===t||t>1?1:t}function x(t,e,r,n,i,a,o,s,l,c,u,h){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=u,this.pickProjectShader=h,this.points=[],this._selectResult=new y(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),c=l.createPickOrtho(e),u=l.createPickProject(e),h=i(e),f=i(e),p=i(e),d=i(e),m=new x(e,r,n,o,h,f,p,d,a(e,[{buffer:h,size:3,type:e.FLOAT},{buffer:f,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),s,c,u);return m.update(t),m};var _=x.prototype;_.pickSlots=1,_.setPickBase=function(t){this.pickId=t},_.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},_.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 b=[0,0],w=[0,0,0],T=[0,0,0],k=[0,0,0,1],A=[0,0,0,1],M=h.slice(),S=[0,0,0],E=[[0,0,0],[0,0,0]];function C(t){return t[0]=t[1]=t[2]=0,t}function L(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function I(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}var P=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function z(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,c=r.model||h,u=r.view||h,f=r.projection||h,p=e.axesBounds,d=function(t){for(var e=E,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],b[0]=2/o.drawingBufferWidth,b[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=f,l.screenSize=b,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=d,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var m=0;m<3;++m)if(a[m]){l.scale=e.projectScale[m],l.opacity=e.projectOpacity[m];for(var y=M,v=0;v<16;++v)y[v]=0;for(v=0;v<4;++v)y[5*v]=1;y[5*m]=0,i[m]<0?y[12+m]=p[0][m]:y[12+m]=p[1][m],s(y,c,y),l.model=y;var x=(m+1)%3,_=(m+2)%3,P=C(w),z=C(T);P[x]=1,z[_]=1;var O=g(0,0,0,L(k,P)),D=g(0,0,0,L(A,z));if(Math.abs(O[1])>Math.abs(D[1])){var R=O;O=D,D=R,R=P,P=z,z=R;var F=x;x=_,_=F}O[0]<0&&(P[x]=-1),D[1]>0&&(z[_]=-1);var B=0,N=0;for(v=0;v<4;++v)B+=Math.pow(c[4*x+v],2),N+=Math.pow(c[4*_+v],2);P[x]/=Math.sqrt(B),z[_]/=Math.sqrt(N),l.axes[0]=P,l.axes[1]=z,l.fragClipBounds[0]=I(S,d[0],m,-1e8),l.fragClipBounds[1]=I(S,d[1],m,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 c=t.uniforms;c.model=n.model||h,c.view=n.view||h,c.projection=n.projection||h,b[0]=2/l.drawingBufferWidth,b[1]=2/l.drawingBufferHeight,c.screenSize=b,c.highlightId=r.highlightId,c.highlightScale=r.highlightScale,c.fragClipBounds=P,c.clipBounds=r.axes.bounds,c.opacity=r.opacity,c.pickGroup=r.pickId/255,c.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 O(t,e,r,i){var a;a=d(t)?e=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},_.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},_.update=function(t){if(\"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(d(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(d(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){d(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={family:t.font||\"normal\",style:t.fontStyle||\"normal\",weight:t.fontWeight||\"normal\",variant:t.fontVariant||\"normal\"},c=t.alignment||[0,0];if(2===c.length)i=c[0],a=c[1];else for(i=[],a=[],n=0;n0){var z=0,D=_,R=[0,0,0,1],F=[0,0,0,1],B=d(p)&&d(p[0]),N=d(y)&&d(y[0]);t:for(n=0;n0?1-S[0][0]:W<0?1+S[1][0]:1,Y*=Y>0?1-S[0][1]:Y<0?1+S[1][1]:1],$=A.cells||[],J=A.positions||[];for(k=0;k<$.length;++k)for(var K=$[k],Q=0;Q<3;++Q){for(var tt=0;tt<3;++tt)C[3*z+tt]=T[tt];for(tt=0;tt<4;++tt)L[4*z+tt]=R[tt];P[z]=x;var et=J[K[Q]];I[2*z]=q*(G*et[0]-Z*et[1]+X[0]),I[2*z+1]=q*(Z*et[0]+G*et[1]+X[1]),z+=1}for($=M.edges,J=M.positions,k=0;k<$.length;++k)for(K=$[k],Q=0;Q<2;++Q){for(tt=0;tt<3;++tt)C[3*D+tt]=T[tt];for(tt=0;tt<4;++tt)L[4*D+tt]=F[tt];P[D]=x,et=J[K[Q]],I[2*D]=q*(G*et[0]-Z*et[1]+X[0]),I[2*D+1]=q*(Z*et[0]+G*et[1]+X[1]),D+=1}}}this.bounds=[u,h],this.points=s,this.pointCount=s.length,this.vertexCount=_,this.lineVertexCount=b,this.pointBuffer.update(C),this.colorBuffer.update(L),this.glyphBuffer.update(I),this.idBuffer.update(P),o.free(C),o.free(L),o.free(I),o.free(P)},_.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()}},4298:function(t,e,r){\"use strict\";var n=r(3236);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\"])},3161:function(t,e,r){\"use strict\";var n=r(9405),i=r(2762),a=r(4298);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,c=t.viewBox,u=t.pixelRatio,h=(e[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],f=(e[1]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1],p=(e[2]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],d=(e[3]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1];if(h=Math.max(h,c[0]),f=Math.max(f,c[1]),p=Math.min(p,c[2]),d=Math.min(d,c[3]),!(p0){var y=r*u;o.drawBox(h-y,f-y,p+y,f+y,a),o.drawBox(h-y,d-y,p+y,d+y,a),o.drawBox(h-y,f-y,h+y,d+y,a),o.drawBox(p-y,f-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)}},3589: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(2260),i=r(1888),a=r(9618),o=r(8828).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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a||(a[s[0]]=[]),a=a[s[0]];for(var l=1;l1)for(var l=0;l 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) 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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 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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\"}]}},7815:function(t,e,r){\"use strict\";var n=r(2931),i=r(9970),a=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e){var r,n=t.length;for(r=0;re)return r-1}return r},s=function(t,e,r){return tr?r:t},l=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;nh-1||v>f-1||x>p-1)return n.create();var _,b,w,T,k,A,M=a[0][d],S=a[0][y],E=a[1][m],C=a[1][v],L=a[2][g],I=(l-M)/(S-M),P=(c-E)/(C-E),z=(u-L)/(a[2][x]-L);switch(isFinite(I)||(I=.5),isFinite(P)||(P=.5),isFinite(z)||(z=.5),r.reversedX&&(d=h-1-d,y=h-1-y),r.reversedY&&(m=f-1-m,v=f-1-v),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 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e=t[0],r=t[1],n=t[2];return!(e_||rb||nw)},k=10*n.distance(e[0],e[1])/c,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,c=0;cS&&(S=F),D.push(F),g.push({points:I,velocities:P,divergences:D});for(var B=0;B<100*c&&I.lengthA&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,L),z=d(N),n.squaredDistance(O,N)-A>-1e-4*A&&(I.push(N),O=N,P.push(z),R=m(N,z),F=n.length(R),isFinite(F)&&F>S&&(S=F),D.push(F)),L=N}}var U=function(t,e,r,a){for(var o=0,s=0;s0)for(T=0;T<8;T++){var k=(T+1)%8;c.push(f[T],p[T],p[k],p[k],f[k],f[T]),h.push(v,y,y,y,v,v),d.push(m,g,g,g,m,m);var A=c.length;u.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=f;f=p,p=M;var S=v;v=y,y=S;var E=m;m=g,g=E}return{positions:c,cells:u,vectors:h,vertexIntensity:d}}(t,r,a,o)})),h=[],f=[],p=[],d=[];for(s=0;s 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 mat4 objectOffsetTranslation = mat4(1.0) + mat4(vec4(0), vec4(0), vec4(0), vec4(objectOffset, 0));\\n vec4 worldPosition = (model * objectOffsetTranslation) * vec4(dataCoordinate, 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}},9499:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=v(e),n=_(e),s=x(e),l=b(e),c=i(e),u=a(e,[{buffer:c,size:4,stride:w,offset:0},{buffer:c,size:3,stride:w,offset:16},{buffer:c,size:3,stride:w,offset:28}]),h=i(e),f=a(e,[{buffer:h,size:4,stride:20,offset:0},{buffer:h,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),m=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);m.minFilter=e.LINEAR,m.magFilter=e.LINEAR;var g=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,m,s,l,h,f,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(8828),i=r(2762),a=r(8116),o=r(7766),s=r(1888),l=r(6729),c=r(5298),u=r(9994),h=r(9618),f=r(3711),p=r(6760),d=r(7608),m=r(2478),g=r(6199),y=r(990),v=y.createShader,x=y.createContourShader,_=y.createPickShader,b=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,c,u,f,p,d,m,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=c,this._contourPickShader=u,this._contourBuffer=f,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=m,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[h(s.mallocFloat(1024),[0,0]),h(s.mallocFloat(1024),[0,0]),h(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var C=E.prototype;C.genColormap=function(t,e){var r=!1,n=u([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;rt&&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 c.divseq(n,255),this.hasAlphaScale=r,n},C.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},C.isOpaque=function(){return!this.isTransparent()},C.pickSlots=1,C.setPickBase=function(t){this.pickId=t};var L=[0,0,0],I={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 P(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||L,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=I.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var c=I.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)c[i][n]=t.clipBounds[i][n];c[0][r]=-1e8,c[1][r]=1e8}return I.showSurface=o,I.showContour=s,I}var z={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},O=T.slice(),D=[1,0,0,0,1,0,0,0,1];function R(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=z;n.model=t.model||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=D,n.vertexColor=this.vertexColor;var s=O;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var c=s[12+i];for(o=0;o<3;++o)c+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=c/l}var u=P(n,this);if(u.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=u.projections[i],this._shader.uniforms.clipBounds=u.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour){var h=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,h.bind(),h.uniforms=n;var f=this._contourVAO;for(f.bind(),i=0;i<3;++i)for(h.uniforms.permutation=A[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var h=u?a:1-a,f=0;f<2;++f)for(var p=i+u,d=s+f,g=h*(f?l:1-l),y=0;y<3;++y)c[y]+=this._field[y].get(p,d)*g;for(var v=this._pickResult.level,x=0;x<3;++x)if(v[x]=m.le(this.contourLevels[x],c[x]),v[x]<0)this.contourLevels[x].length>0&&(v[x]=0);else if(v[x]Math.abs(b-c[x])&&(v[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},C.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();c.assign(t.lo(1,1).hi(r[0],r[1]),e),c.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),c.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),c.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),c.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},C.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=B(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=B(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=B(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=j(t.contourColor)),\"contourProject\"in t&&(this.contourProject=B(t.contourProject,(function(t){return B(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=j(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=B(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=B(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"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]=h(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=h(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var 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 c=l[o];for(y=0;y<2;++y)if(c.shape[y]!==a[y])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],c)}}else if(t.ticks){var u=t.ticks;if(!Array.isArray(u)||2!==u.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=u[o];if((Array.isArray(p)||p.length)&&(p=h(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var d=h(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 m=[0,0];m[o]=1,this._field[o]=h(this._field[o].data,[a[0]+2,a[1]+2],m,0)}this._field[0].set(0,0,0);for(var y=0;y0){for(var xt=0;xt<5;++xt)K.pop();U-=1}continue t}K.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 _t=s.mallocFloat(K.length);for(o=0;os||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=d(o,e.stride.slice()),c=0;\"float32\"===r?c=t.FLOAT:\"float64\"===r?(c=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?c=t.UNSIGNED_BYTE:(c=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var h,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}}c!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(c=t.UNSIGNED_BYTE,l=!1);var y=e.size;if(l)h=0===e.offset&&e.data.length===y?e.data:e.data.subarray(e.offset,e.offset+y);else{var v=[o[2],o[2]*o[0],1];p=a.malloc(y,r);var x=n(p,o,v,0);\"float32\"!==r&&\"float64\"!==r||c!==t.UNSIGNED_BYTE?i.assign(x,e):u(x,e),h=p.subarray(0,y)}var _=m(t);return t.texImage2D(t.TEXTURE_2D,0,g,o[0],o[1],0,g,c,h),l||a.free(p),new f(t,_,o[0],o[1],g,c)}(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function c(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 u=function(t,e){i.muls(t,e,255)};function h(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 f(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 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h=e.slice(0);h.sort();for(var f=0;f>1,s=a(t[o],e);s<=0?(0===s&&(i=o),r=o+1):s>0&&(n=o-1)}return i}function u(t,e){for(var r=new Array(t.length),i=0,o=r.length;i=t.length||0!==a(t[g],s)););}return r}function h(t,e){if(e<0)return[];for(var r=[],i=(1<>>u&1&&c.push(i[u]);e.push(c)}return s(e)},e.skeleton=h,e.boundary=function(t){for(var e=[],r=0,n=t.length;r>1:(t>>1)-1}function x(t){for(var e=y(t);;){var r=e,n=2*t+1,i=2*(t+1),a=t;if(n0;){var r=v(t);if(!(r>=0&&e0){var t=k[0];return g(0,M-1),M-=1,x(0),t}return-1}function w(t,e){var r=k[t];return c[r]===e?t:(c[r]=-1/0,_(t),b(),c[r]=e,_((M+=1)-1))}function T(t){if(!u[t]){u[t]=!0;var e=s[t],r=l[t];s[r]>=0&&(s[r]=e),l[e]>=0&&(l[e]=r),A[e]>=0&&w(A[e],m(e)),A[r]>=0&&w(A[r],m(r))}}var k=[],A=new Array(a);for(h=0;h>1;h>=0;--h)x(h);for(;;){var S=b();if(S<0||c[S]>r)break;T(S)}var E=[];for(h=0;h=0&&r>=0&&e!==r){var n=A[e],i=A[r];n!==i&&L.push([n,i])}})),i.unique(i.normalize(L)),{positions:E,edges:L}};var n=r(3250),i=r(2014)},1303:function(t,e,r){\"use 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r},t.exports.negative=function(t,e){for(var r=[],n=a(t[t.length-1],e),i=t[t.length-1],s=t[0],l=0;l0||n>0&&c<0)&&r.push(o(i,c,s,n)),c<=0&&r.push(s.slice()),n=c}return r}},3387:function(t,e,r){var n;!function(){\"use strict\";var i={not_string:/[^s]/,not_bool:/[^t]/,not_type:/[^T]/,not_primitive:/[^v]/,number:/[diefg]/,numeric_arg:/[bcdiefguxX]/,json:/[j]/,not_json:/[^j]/,text:/^[^\\x25]+/,modulo:/^\\x25{2}/,placeholder:/^\\x25(?:([1-9]\\d*)\\$|\\(([^)]+)\\))?(\\+)?(0|'[^$])?(-)?(\\d+)?(?:\\.(\\d+))?([b-gijostTuvxX])/,key:/^([a-z_][a-z_\\d]*)/i,key_access:/^\\.([a-z_][a-z_\\d]*)/i,index_access:/^\\[(\\d+)\\]/,sign:/^[+-]/};function a(t){return function(t,e){var 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6:u.push([t-.5-.25*(-n-r+a+i)/(n-r+i-a),e-.5-.25*(-i-r+a+n)/(i-r+n-a)]);break;case 7:u.push([t-.75-.25*(a+i-2*f)/(i-a),e-.75-.25*(a+n-2*f)/(n-a)]);break;case 8:u.push([t-.75-.25*(-a-i+2*f)/(a-i),e-.75-.25*(-a-n+2*f)/(a-n)]);break;case 9:u.push([t-.5-.25*(n+r+-a-i)/(r-n+a-i),e-.5-.25*(i+r+-a-n)/(r-i+a-n)]);break;case 10:u.push([t-.5-.5*(-n-r-a-i+4*f)/(n-r+a-i),e-.5]);break;case 11:u.push([t-.25-.25*(-a-i+2*f)/(a-i),e-.75-.25*(i+r-2*f)/(r-i)]);break;case 12:u.push([t-.5,e-.5-.5*(-i-r-a-n+4*f)/(i-r+a-n)]);break;case 13:u.push([t-.75-.25*(n+r-2*f)/(r-n),e-.25-.25*(-a-n+2*f)/(a-n)]);break;case 14:u.push([t-.25-.25*(-n-r+2*f)/(n-r),e-.25-.25*(-i-r+2*f)/(i-r)])}},cell:function(t,e,r,n,i,a,o,s,l){i?s.push([t,e]):s.push([e,t])}});return function(t,e){var r=[],i=[];return n(t,r,i,e),{positions:r,cells:i}}}},o={}},529:function(t,e,r){\"use strict\";t.exports=function t(e,r,i){var 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Array(16);for(var c=0;c<16;++c)this.computedMatrix[c]=.5;this.recalcMatrix(0)}var p=f.prototype;p.setDistanceLimits=function(t,e){t=t>0?Math.log(t):-1/0,e=e>0?Math.log(e):1/0,e=Math.max(e,t),this.radius.bounds[0][0]=t,this.radius.bounds[1][0]=e},p.getDistanceLimits=function(t){var e=this.radius.bounds[0];return t?(t[0]=Math.exp(e[0][0]),t[1]=Math.exp(e[1][0]),t):[Math.exp(e[0][0]),Math.exp(e[1][0])]},p.recalcMatrix=function(t){this.center.curve(t),this.up.curve(t),this.right.curve(t),this.radius.curve(t),this.angle.curve(t);for(var e=this.computedUp,r=this.computedRight,n=0,i=0,a=0;a<3;++a)i+=e[a]*r[a],n+=e[a]*e[a];var l=Math.sqrt(n),u=0;for(a=0;a<3;++a)r[a]-=e[a]*i/n,u+=r[a]*r[a],e[a]/=l;var h=Math.sqrt(u);for(a=0;a<3;++a)r[a]/=h;var f=this.computedToward;o(f,e,r),s(f,f);var p=Math.exp(this.computedRadius[0]),d=this.computedAngle[0],m=this.computedAngle[1],g=Math.cos(d),y=Math.sin(d),v=Math.cos(m),x=Math.sin(m),_=this.computedCenter,b=g*v,w=y*v,T=x,k=-g*x,A=-y*x,M=v,S=this.computedEye,E=this.computedMatrix;for(a=0;a<3;++a){var C=b*r[a]+w*f[a]+T*e[a];E[4*a+1]=k*r[a]+A*f[a]+M*e[a],E[4*a+2]=C,E[4*a+3]=0}var L=E[1],I=E[5],P=E[9],z=E[2],O=E[6],D=E[10],R=I*D-P*O,F=P*z-L*D,B=L*O-I*z,N=c(R,F,B);for(R/=N,F/=N,B/=N,E[0]=R,E[4]=F,E[8]=B,a=0;a<3;++a)S[a]=_[a]+E[2+4*a]*p;for(a=0;a<3;++a){u=0;for(var j=0;j<3;++j)u+=E[a+4*j]*S[j];E[12+a]=-u}E[15]=1},p.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n<16;++n)e[n]=r[n];return e}return r};var d=[0,0,0];p.rotate=function(t,e,r,n){if(this.angle.move(t,e,r),n){this.recalcMatrix(t);var i=this.computedMatrix;d[0]=i[2],d[1]=i[6],d[2]=i[10];for(var 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this._warningHistory[t.message]||(this._warningHistory[t.message]=!0,\"undefined\"!=typeof console&&console.warn(t.message)),this._defaultValue}};var fn=function(t,e){this.kind=t,this._styleExpression=e,this.isStateDependent=\"constant\"!==t&&!Ye(e.expression)};fn.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},fn.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)};var pn=function(t,e,r,n){this.kind=t,this.zoomStops=r,this._styleExpression=e,this.isStateDependent=\"camera\"!==t&&!Ye(e.expression),this.interpolationType=n};function dn(t,e){if(\"error\"===(t=hn(t,e)).result)return t;var r=t.value.expression,n=We(r);if(!n&&!$r(e))return Xr([new qt(\"\",\"data expressions not supported\")]);var i=Xe(r,[\"zoom\"]);if(!i&&!Jr(e))return Xr([new qt(\"\",\"zoom expressions not supported\")]);var a=gn(r);if(!a&&!i)return Xr([new qt(\"\",'\"zoom\" expression may only be 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e=1;e\"===r||\"<=\"===r||\">=\"===r?Cn(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(En))):\"all\"===r?[\"all\"].concat(t.slice(1).map(En)):\"none\"===r?[\"all\"].concat(t.slice(1).map(En).map(Pn)):\"in\"===r?Ln(t[1],t.slice(2)):\"!in\"===r?Pn(Ln(t[1],t.slice(2))):\"has\"===r?In(t[1]):\"!has\"===r?Pn(In(t[1])):\"within\"!==r||t}function Cn(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 Ln(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(Mn)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function In(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function Pn(t){return[\"!\",t]}function zn(t){return Tn(Vt(t.value))?bn(jt({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):On(t)}function On(t){var e=t.value,r=t.key;if(\"array\"!==Qr(e))return[new Bt(r,e,\"array expected, \"+Qr(e)+\" found\")];var n,i=t.styleSpec,a=[];if(e.length<1)return[new Bt(r,e,\"filter array must have at least 1 element\")];switch(a=a.concat(wn({key:r+\"[0]\",value:e[0],valueSpec:i.filter_operator,style:t.style,styleSpec:t.styleSpec})),Ut(e[0])){case\"<\":case\"<=\":case\">\":case\">=\":e.length>=2&&\"$type\"===Ut(e[1])&&a.push(new Bt(r,e,'\"$type\" cannot be use with operator \"'+e[0]+'\"'));case\"==\":case\"!=\":3!==e.length&&a.push(new Bt(r,e,'filter array for operator \"'+e[0]+'\" must have 3 elements'));case\"in\":case\"!in\":e.length>=2&&\"string\"!==(n=Qr(e[1]))&&a.push(new Bt(r+\"[1]\",e[1],\"string expected, \"+n+\" found\"));for(var o=2;o=u[p+0]&&n>=u[p+1])?(o[f]=!0,a.push(c[f])):o[f]=!1}}},ri.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToCellCoord(t),c=this._convertToCellCoord(e),u=this._convertToCellCoord(r),h=this._convertToCellCoord(n),f=l;f<=u;f++)for(var p=c;p<=h;p++){var d=this.d*p+f;if((!s||s(this._convertFromCellCoord(f),this._convertFromCellCoord(p),this._convertFromCellCoord(f+1),this._convertFromCellCoord(p+1)))&&i.call(this,t,e,r,n,d,a,o,s))return}},ri.prototype._convertFromCellCoord=function(t){return(t-this.padding)/this.scale},ri.prototype._convertToCellCoord=function(t){return Math.max(0,Math.min(this.d-1,Math.floor(t*this.scale)+this.padding))},ri.prototype.toArrayBuffer=function(){if(this.arrayBuffer)return this.arrayBuffer;for(var t=this.cells,e=ei+this.cells.length+1+1,r=0,n=0;n=0)){var h=t[u];c[u]=ai[l].shallow.indexOf(u)>=0?h:ui(h,e)}t instanceof Error&&(c.message=t.message)}if(c.$name)throw new Error(\"$name property is reserved for worker serialization logic.\");return\"Object\"!==l&&(c.$name=l),c}throw new Error(\"can't serialize object of type \"+typeof t)}function 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Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(Qi);ba.prototype.bytesPerElement=4,oi(\"StructArrayLayout2ui4\",ba);var wa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint16[r+0]=e,t},e}(Qi);wa.prototype.bytesPerElement=2,oi(\"StructArrayLayout1ui2\",wa);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 Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Qi);Ta.prototype.bytesPerElement=16,oi(\"StructArrayLayout4f16\",Ta);var ka=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 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this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return 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}(Ki);Ma.prototype.size=48;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.get=function(t){return new Ma(this,t)},e}(ga);oi(\"PlacedSymbolArray\",Sa);var Ea=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 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S=o.content;x=jc(f,0,S[0]),b=jc(p,0,S[1]),_=jc(f,S[0],S[2]),w=jc(p,S[1],S[3]),T=S[0]-x,A=S[1]-b,k=S[2]-S[0]-_,M=S[3]-S[1]-w}var E=function(n,i,l,c){var f=Vc(n.stretch-x,_,u,t.left),p=qc(n.fixed-T,k,n.stretch,m),d=Vc(i.stretch-b,w,h,t.top),y=qc(i.fixed-A,M,i.stretch,g),v=Vc(l.stretch-x,_,u,t.left),S=qc(l.fixed-T,k,l.stretch,m),E=Vc(c.stretch-b,w,h,t.top),C=qc(c.fixed-A,M,c.stretch,g),L=new a(f,d),I=new a(v,d),P=new a(v,E),z=new a(f,E),O=new a(p/s,y/s),D=new a(S/s,C/s),R=e*Math.PI/180;if(R){var F=Math.sin(R),B=Math.cos(R),N=[B,-F,F,B];L._matMult(N),I._matMult(N),z._matMult(N),P._matMult(N)}var j=n.stretch+n.fixed,U=l.stretch+l.fixed,V=i.stretch+i.fixed,q=c.stretch+c.fixed;return{tl:L,tr:I,bl:z,br:P,tex:{x:o.paddedRect.x+Bc+j,y:o.paddedRect.y+Bc+V,w:U-j,h:q-V},writingMode:void 0,glyphOffset:[0,0],sectionIndex:0,pixelOffsetTL:O,pixelOffsetBR:D,minFontScaleX:k/s/u,minFontScaleY:M/s/h,isSDF:r}};if(n&&(o.stretchX||o.stretchY))for(var C=Uc(f,y,m),L=Uc(p,v,g),I=0;I0&&(d=Math.max(10,d),this.circleDiameter=d)}else{var m=o.top*s-l,g=o.bottom*s+l,y=o.left*s-l,v=o.right*s+l,x=o.collisionPadding;if(x&&(y-=x[0]*s,m-=x[1]*s,v+=x[2]*s,g+=x[3]*s),u){var _=new a(y,m),b=new a(v,m),w=new a(y,g),T=new a(v,g),k=u*Math.PI/180;_._rotate(k),b._rotate(k),w._rotate(k),T._rotate(k),y=Math.min(_.x,b.x,w.x,T.x),v=Math.max(_.x,b.x,w.x,T.x),m=Math.min(_.y,b.y,w.y,T.y),g=Math.max(_.y,b.y,w.y,T.y)}t.emplaceBack(e.x,e.y,y,m,v,g,r,n,i)}this.boxEndIndex=t.length},Gc=function(t,e){if(void 0===t&&(t=[]),void 0===e&&(e=Zc),this.data=t,this.length=this.data.length,this.compare=e,this.length>0)for(var r=(this.length>>1)-1;r>=0;r--)this._down(r)};function Zc(t,e){return te?1:0}function Wc(t,e,r){void 0===e&&(e=1),void 0===r&&(r=!1);for(var n=1/0,i=1/0,o=-1/0,s=-1/0,l=t[0],c=0;co)&&(o=u.x),(!c||u.y>s)&&(s=u.y)}var h=o-n,f=s-i,p=Math.min(h,f),d=p/2,m=new Gc([],Yc);if(0===p)return new a(n,i);for(var g=n;gv.d||!v.d)&&(v=_,r&&console.log(\"found best %d after %d probes\",Math.round(1e4*_.d)/1e4,x)),_.max-v.d<=e||(d=_.h/2,m.push(new Xc(_.p.x-d,_.p.y-d,d,t)),m.push(new Xc(_.p.x+d,_.p.y-d,d,t)),m.push(new Xc(_.p.x-d,_.p.y+d,d,t)),m.push(new Xc(_.p.x+d,_.p.y+d,d,t)),x+=4)}return r&&(console.log(\"num probes: \"+x),console.log(\"best distance: \"+v.d)),v.p}function Yc(t,e){return e.max-t.max}function Xc(t,e,r,n){this.p=new a(t,e),this.h=r,this.d=function(t,e){for(var r=!1,n=1/0,i=0;it.y!=u.y>t.y&&t.x<(u.x-c.x)*(t.y-c.y)/(u.y-c.y)+c.x&&(r=!r),n=Math.min(n,Eo(t,c,u))}return(r?1:-1)*Math.sqrt(n)}(this.p,n),this.max=this.d+this.h*Math.SQRT2}Gc.prototype.push=function(t){this.data.push(t),this.length++,this._up(this.length-1)},Gc.prototype.pop=function(){if(0!==this.length){var t=this.data[0],e=this.data.pop();return this.length--,this.length>0&&(this.data[0]=e,this._down(0)),t}},Gc.prototype.peek=function(){return this.data[0]},Gc.prototype._up=function(t){for(var e=this.data,r=this.compare,n=e[t];t>0;){var i=t-1>>1,a=e[i];if(r(n,a)>=0)break;e[t]=a,t=i}e[t]=n},Gc.prototype._down=function(t){for(var e=this.data,r=this.compare,n=this.length>>1,i=e[t];t=0)break;e[t]=o,t=a}e[t]=i};var $c=7,Jc=Number.POSITIVE_INFINITY;function Kc(t,e){return e[1]!==Jc?function(t,e,r){var n=0,i=0;switch(e=Math.abs(e),r=Math.abs(r),t){case\"top-right\":case\"top-left\":case\"top\":i=r-$c;break;case\"bottom-right\":case\"bottom-left\":case\"bottom\":i=-r+$c}switch(t){case\"top-right\":case\"bottom-right\":case\"right\":n=-e;break;case\"top-left\":case\"bottom-left\":case\"left\":n=e}return[n,i]}(t,e[0],e[1]):function(t,e){var r=0,n=0;e<0&&(e=0);var i=e/Math.sqrt(2);switch(t){case\"top-right\":case\"top-left\":n=i-$c;break;case\"bottom-right\":case\"bottom-left\":n=-i+$c;break;case\"bottom\":n=-e+$c;break;case\"top\":n=e-$c}switch(t){case\"top-right\":case\"bottom-right\":r=-i;break;case\"top-left\":case\"bottom-left\":r=i;break;case\"left\":r=e;break;case\"right\":r=-e}return[r,n]}(t,e[0])}function Qc(t){switch(t){case\"right\":case\"top-right\":case\"bottom-right\":return\"right\";case\"left\":case\"top-left\":case\"bottom-left\":return\"left\"}return\"center\"}var tu=255,eu=tu*Ac;function ru(t,e,r,n,i,o,s,l,c,u,h,f,p,d,m){var g=function(t,e,r,n,i,o,s,l){for(var c=n.layout.get(\"text-rotate\").evaluate(o,{})*Math.PI/180,u=[],h=0,f=e.positionedLines;heu&&k(t.layerIds[0]+': Value for \"text-size\" is >= '+tu+'. Reduce your \"text-size\".'):\"composite\"===y.kind&&((v=[Ac*d.compositeTextSizes[0].evaluate(s,{},m),Ac*d.compositeTextSizes[1].evaluate(s,{},m)])[0]>eu||v[1]>eu)&&k(t.layerIds[0]+': Value for \"text-size\" is >= '+tu+'. Reduce your \"text-size\".'),t.addSymbols(t.text,g,v,l,o,s,u,e,c.lineStartIndex,c.lineLength,p,m);for(var x=0,_=h;x<_.length;x+=1)f[_[x]]=t.text.placedSymbolArray.length-1;return 4*g.length}function nu(t){for(var e in t)return t[e];return null}function iu(t,e,r,n){var i=t.compareText;if(e in i){for(var a=i[e],o=a.length-1;o>=0;o--)if(n.dist(a[o])0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),c=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,u=i.get(\"symbol-sort-key\");if(this.features=[],l||c){for(var h=e.iconDependencies,f=e.glyphDependencies,p=e.availableImages,d=new Oi(this.zoom),m=0,g=t;m=0;for(var z=0,O=k.sections;z=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;l0},fu.prototype.hasIconData=function(){return this.icon.segments.get().length>0},fu.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},fu.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},fu.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},fu.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i1||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=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)}},oi(\"SymbolBucket\",fu,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),fu.MAX_GLYPHS=65535,fu.addDynamicAttributes=lu;var pu=new Yi({\"symbol-placement\":new qi(Ft.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new qi(Ft.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new qi(Ft.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Hi(Ft.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new qi(Ft.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new qi(Ft.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new qi(Ft.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new qi(Ft.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new qi(Ft.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Hi(Ft.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new qi(Ft.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new qi(Ft.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Hi(Ft.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Hi(Ft.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new qi(Ft.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new qi(Ft.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Hi(Ft.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Hi(Ft.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new qi(Ft.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new qi(Ft.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new qi(Ft.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Hi(Ft.layout_symbol[\"text-field\"]),\"text-font\":new Hi(Ft.layout_symbol[\"text-font\"]),\"text-size\":new Hi(Ft.layout_symbol[\"text-size\"]),\"text-max-width\":new Hi(Ft.layout_symbol[\"text-max-width\"]),\"text-line-height\":new qi(Ft.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Hi(Ft.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Hi(Ft.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Hi(Ft.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new qi(Ft.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Hi(Ft.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new qi(Ft.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new qi(Ft.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Hi(Ft.layout_symbol[\"text-rotate\"]),\"text-padding\":new qi(Ft.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new qi(Ft.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Hi(Ft.layout_symbol[\"text-transform\"]),\"text-offset\":new Hi(Ft.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new qi(Ft.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new qi(Ft.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new qi(Ft.layout_symbol[\"text-optional\"])}),du={paint:new Yi({\"icon-opacity\":new Hi(Ft.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Hi(Ft.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Hi(Ft.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Hi(Ft.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Hi(Ft.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new qi(Ft.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new qi(Ft.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Hi(Ft.paint_symbol[\"text-opacity\"]),\"text-color\":new Hi(Ft.paint_symbol[\"text-color\"],{runtimeType:Xt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Hi(Ft.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Hi(Ft.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Hi(Ft.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new qi(Ft.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new qi(Ft.paint_symbol[\"text-translate-anchor\"])}),layout:pu},mu=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Gt,this.defaultValue=t};mu.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},mu.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},mu.prototype.outputDefined=function(){return!1},mu.prototype.serialize=function(){return null},oi(\"FormatSectionOverride\",mu,{omit:[\"defaultValue\"]});var gu=function(t){function e(e){t.call(this,e,du)}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\",targetMapId:n,sourceMapId:a.mapId})}}},Lu.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else S()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Lu.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)}},Lu.prototype.processTask=function(t,e){var r=this;if(\"\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(hi(e.error)):n(null,hi(e.data)))}else{var i=!1,a=L(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"\",sourceMapId:r.mapId,error:e?ui(e):null,data:ui(n,a)},a)}:function(t){i=!0},s=null,l=hi(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var c=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,c[0],l.source)[c[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Lu.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Pu=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]))};Pu.prototype.setNorthEast=function(t){return this._ne=t instanceof Ou?new Ou(t.lng,t.lat):Ou.convert(t),this},Pu.prototype.setSouthWest=function(t){return this._sw=t instanceof Ou?new Ou(t.lng,t.lat):Ou.convert(t),this},Pu.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Ou)e=t,r=t;else{if(!(t instanceof Pu)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Pu.convert(a))}var o=t;return this.extend(Ou.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 Ou(e.lng,e.lat),this._ne=new Ou(r.lng,r.lat)),this},Pu.prototype.getCenter=function(){return new Ou((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Pu.prototype.getSouthWest=function(){return this._sw},Pu.prototype.getNorthEast=function(){return this._ne},Pu.prototype.getNorthWest=function(){return new Ou(this.getWest(),this.getNorth())},Pu.prototype.getSouthEast=function(){return new Ou(this.getEast(),this.getSouth())},Pu.prototype.getWest=function(){return this._sw.lng},Pu.prototype.getSouth=function(){return this._sw.lat},Pu.prototype.getEast=function(){return this._ne.lng},Pu.prototype.getNorth=function(){return this._ne.lat},Pu.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Pu.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Pu.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Pu.prototype.contains=function(t){var e=Ou.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},Pu.convert=function(t){return!t||t instanceof Pu?t:new Pu(t)};var zu=6371008.8,Ou=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\")};Ou.prototype.wrap=function(){return new Ou(f(this.lng,-180,180),this.lat)},Ou.prototype.toArray=function(){return[this.lng,this.lat]},Ou.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Ou.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 zu*Math.acos(Math.min(i,1))},Ou.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 Pu(new Ou(this.lng-r,this.lat-e),new Ou(this.lng+r,this.lat+e))},Ou.convert=function(t){if(t instanceof Ou)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Ou(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Ou(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: , lat: }, an object {lon: , lat: }, or an array of [, ]\")};var Du=2*Math.PI*zu;function Ru(t){return Du*Math.cos(t*Math.PI/180)}function Fu(t){return(180+t)/360}function Bu(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Nu(t,e){return t/Ru(e)}function ju(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Uu=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Uu.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Ou.convert(t);return new Uu(Fu(r.lng),Bu(r.lat),Nu(e,r.lat))},Uu.prototype.toLngLat=function(){return new Ou(360*this.x-180,ju(this.y))},Uu.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Ru(ju(e));var t,e},Uu.prototype.meterInMercatorCoordinateUnits=function(){return 1/Du*(t=ju(this.y),1/Math.cos(t*Math.PI/180));var t};var Vu=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=Gu(0,t,t,e,r)};Vu.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Vu.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Iu(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Iu(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<this.canonical.z?new Hu(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Hu(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Hu.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?Gu(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):Gu(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Hu.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>e&&t.canonical.y===this.canonical.y>>e},Hu.prototype.children=function(t){if(this.overscaledZ>=t)return[new Hu(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 Hu(e,this.wrap,e,r,n),new Hu(e,this.wrap,e,r+1,n),new Hu(e,this.wrap,e,r,n+1),new Hu(e,this.wrap,e,r+1,n+1)]},Hu.prototype.isLessThan=function(t){return this.wrapt.wrap)&&(this.overscaledZt.overscaledZ)&&(this.canonical.xt.canonical.x)&&this.canonical.y=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)},Zu.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Zu.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Zu.prototype.getPixels=function(){return new Ko({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Zu.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,c=a;c=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},Ju.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new tl.VectorTile(new Pl(this.rawTileData)).layers,this.sourceLayerCoder=new Wu(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Ju.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=po/t.tileSize/t.scale,l=An(o.filter),c=t.queryGeometry,u=t.queryPadding*s,h=Qu(c),f=this.grid.query(h.minX-u,h.minY-u,h.maxX+u,h.maxY+u),p=Qu(t.cameraQueryGeometry),d=0,m=this.grid3D.query(p.minX-u,p.minY-u,p.maxX+u,p.maxY+u,(function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o=l.x&&i>=l.y)return!0}var c=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var u=0,h=c;u=0)return!0;return!1}(a,h)){var f=this.sourceLayerCoder.decode(r),d=this.vtLayers[f].feature(n);if(i.needGeometry){var m=vo(d,!0);if(!i.filter(new Oi(this.tileID.overscaledZ),m,this.tileID.canonical))return}else if(!i.filter(new Oi(this.tileID.overscaledZ),d))return;for(var g=this.getId(d,f),y=0;yn)i=!1;else if(e)if(this.expirationTimeft&&(t.getActor().send(\"enforceCacheSizeLimit\",ht),xt=0)},t.clamp=h,t.clearTileCache=function(t){var e=s.caches.delete(ut);t&&e.catch(t).then((function(){return t()}))},t.clipLine=Fc,t.clone=function(t){var e=new Fo(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=w,t.clone$2=function(t){var e=new Fo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=Ml,t.config=j,t.create=function(){var t=new Fo(16);return Fo!=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 Fo(9);return Fo!=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 Fo(4);return Fo!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=hn,t.createLayout=ta,t.createStyleLayer=function(t){return\"custom\"===t.type?new bu(t):new wu[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;n0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t},t.number=er,t.offscreenCanvasSupported=_t,t.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t},t.parseGlyphPBF=function(t){return new Pl(t).readFields(Ql,[])},t.pbf=Pl,t.performSymbolLayout=function(t,e,r,n,i,a,o){t.createArrays();var s=512*t.overscaling;t.tilePixelRatio=po/s,t.compareText={},t.iconsNeedLinear=!1;var l=t.layers[0].layout,c=t.layers[0]._unevaluatedLayout._values,u={};if(\"composite\"===t.textSizeData.kind){var h=t.textSizeData,f=h.minZoom,p=h.maxZoom;u.compositeTextSizes=[c[\"text-size\"].possiblyEvaluate(new Oi(f),o),c[\"text-size\"].possiblyEvaluate(new Oi(p),o)]}if(\"composite\"===t.iconSizeData.kind){var d=t.iconSizeData,m=d.minZoom,g=d.maxZoom;u.compositeIconSizes=[c[\"icon-size\"].possiblyEvaluate(new Oi(m),o),c[\"icon-size\"].possiblyEvaluate(new Oi(g),o)]}u.layoutTextSize=c[\"text-size\"].possiblyEvaluate(new Oi(t.zoom+1),o),u.layoutIconSize=c[\"icon-size\"].possiblyEvaluate(new Oi(t.zoom+1),o),u.textMaxSize=c[\"text-size\"].possiblyEvaluate(new Oi(18));for(var y=l.get(\"text-line-height\")*Cl,v=\"map\"===l.get(\"text-rotation-alignment\")&&\"point\"!==l.get(\"symbol-placement\"),x=l.get(\"text-keep-upright\"),_=l.get(\"text-size\"),b=function(){var a=T[w],s=l.get(\"text-font\").evaluate(a,{},o).join(\",\"),c=_.evaluate(a,{},o),h=u.layoutTextSize.evaluate(a,{},o),f=u.layoutIconSize.evaluate(a,{},o),p={horizontal:{},vertical:void 0},d=a.text,m=[0,0];if(d){var g=d.toString(),b=l.get(\"text-letter-spacing\").evaluate(a,{},o)*Cl,A=function(t){for(var e=0,r=t;e=po||h.y<0||h.y>=po||function(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y,v,x,_,b,w,T,A){var M,S,E,C,L,I=t.addToLineVertexArray(e,r),P=0,z=0,O=0,D=0,R=-1,F=-1,B={},N=ja(\"\"),j=0,U=0;if(void 0===s._unevaluatedLayout.getValue(\"text-radial-offset\")?(j=(M=s.layout.get(\"text-offset\").evaluate(_,{},T).map((function(t){return t*Cl})))[0],U=M[1]):(j=s.layout.get(\"text-radial-offset\").evaluate(_,{},T)*Cl,U=Jc),t.allowVerticalPlacement&&n.vertical){var V=s.layout.get(\"text-rotate\").evaluate(_,{},T)+90,q=n.vertical;C=new Hc(l,e,c,u,h,q,f,p,d,V),o&&(L=new Hc(l,e,c,u,h,o,g,y,d,V))}if(i){var H=s.layout.get(\"icon-rotate\").evaluate(_,{}),G=\"none\"!==s.layout.get(\"icon-text-fit\"),Z=Nc(i,H,w,G),W=o?Nc(o,H,w,G):void 0;E=new Hc(l,e,c,u,h,i,g,y,!1,H),P=4*Z.length;var Y=t.iconSizeData,X=null;\"source\"===Y.kind?(X=[Ac*s.layout.get(\"icon-size\").evaluate(_,{})])[0]>eu&&k(t.layerIds[0]+': Value for \"icon-size\" is >= '+tu+'. Reduce your \"icon-size\".'):\"composite\"===Y.kind&&((X=[Ac*b.compositeIconSizes[0].evaluate(_,{},T),Ac*b.compositeIconSizes[1].evaluate(_,{},T)])[0]>eu||X[1]>eu)&&k(t.layerIds[0]+': Value for \"icon-size\" is >= '+tu+'. Reduce your \"icon-size\".'),t.addSymbols(t.icon,Z,X,x,v,_,!1,e,I.lineStartIndex,I.lineLength,-1,T),R=t.icon.placedSymbolArray.length-1,W&&(z=4*W.length,t.addSymbols(t.icon,W,X,x,v,_,lc.vertical,e,I.lineStartIndex,I.lineLength,-1,T),F=t.icon.placedSymbolArray.length-1)}for(var $ in n.horizontal){var J=n.horizontal[$];if(!S){N=ja(J.text);var K=s.layout.get(\"text-rotate\").evaluate(_,{},T);S=new Hc(l,e,c,u,h,J,f,p,d,K)}var Q=1===J.positionedLines.length;if(O+=ru(t,e,J,a,s,d,_,m,I,n.vertical?lc.horizontal:lc.horizontalOnly,Q?Object.keys(n.horizontal):[$],B,R,b,T),Q)break}n.vertical&&(D+=ru(t,e,n.vertical,a,s,d,_,m,I,lc.vertical,[\"vertical\"],B,F,b,T));var tt=S?S.boxStartIndex:t.collisionBoxArray.length,et=S?S.boxEndIndex:t.collisionBoxArray.length,rt=C?C.boxStartIndex:t.collisionBoxArray.length,nt=C?C.boxEndIndex:t.collisionBoxArray.length,it=E?E.boxStartIndex:t.collisionBoxArray.length,at=E?E.boxEndIndex:t.collisionBoxArray.length,ot=L?L.boxStartIndex:t.collisionBoxArray.length,st=L?L.boxEndIndex:t.collisionBoxArray.length,lt=-1,ct=function(t,e){return t&&t.circleDiameter?Math.max(t.circleDiameter,e):e};lt=ct(S,lt),lt=ct(C,lt),lt=ct(E,lt);var ut=(lt=ct(L,lt))>-1?1:0;ut&&(lt*=A/Cl),t.glyphOffsetArray.length>=fu.MAX_GLYPHS&&k(\"Too many glyphs being rendered in a tile. See https://github.com/mapbox/mapbox-gl-js/issues/2907\"),void 0!==_.sortKey&&t.addToSortKeyRanges(t.symbolInstances.length,_.sortKey),t.symbolInstances.emplaceBack(e.x,e.y,B.right>=0?B.right:-1,B.center>=0?B.center:-1,B.left>=0?B.left:-1,B.vertical||-1,R,F,N,tt,et,rt,nt,it,at,ot,st,c,O,D,P,z,ut,0,f,j,U,lt)}(t,h,s,r,n,i,f,t.layers[0],t.collisionBoxArray,e.index,e.sourceLayerIndex,t.index,v,w,M,l,_,T,S,d,e,a,c,u,o)};if(\"line\"===E)for(var P=0,z=Fc(e.geometry,0,0,po,po);P1){var U=Oc(j,A,r.vertical||m,n,g,x);U&&I(j,U)}}else if(\"Polygon\"===e.type)for(var V=0,q=Fs(e.geometry,0);V=E.maxzoom||\"none\"!==E.visibility&&(o(S,this.zoom,n),(m[E.id]=E.createBucket({index:u.bucketLayerIDs.length,layers:S,zoom:this.zoom,pixelRatio:this.pixelRatio,overscaling:this.overscaling,collisionBoxArray:this.collisionBoxArray,sourceLayerIndex:_,sourceID:this.source})).populate(b,g,this.tileID.canonical),u.bucketLayerIDs.push(S.map((function(t){return t.id}))))}}}var C=t.mapObject(g.glyphDependencies,(function(t){return Object.keys(t).map(Number)}));Object.keys(C).length?a.send(\"getGlyphs\",{uid:this.uid,stacks:C},(function(t,e){h||(h=t,f=e,P.call(l))})):f={};var L=Object.keys(g.iconDependencies);L.length?a.send(\"getImages\",{icons:L,source:this.source,tileID:this.tileID,type:\"icons\"},(function(t,e){h||(h=t,p=e,P.call(l))})):p={};var I=Object.keys(g.patternDependencies);function P(){if(h)return s(h);if(f&&p&&d){var e=new i(f),r=new t.ImageAtlas(p,d);for(var a in m){var l=m[a];l instanceof t.SymbolBucket?(o(l.layers,this.zoom,n),t.performSymbolLayout(l,f,e.positions,p,r.iconPositions,this.showCollisionBoxes,this.tileID.canonical)):l.hasPattern&&(l instanceof t.LineBucket||l instanceof t.FillBucket||l instanceof t.FillExtrusionBucket)&&(o(l.layers,this.zoom,n),l.addFeatures(g,this.tileID.canonical,r.patternPositions))}this.status=\"done\",s(null,{buckets:t.values(m).filter((function(t){return!t.isEmpty()})),featureIndex:u,collisionBoxArray:this.collisionBoxArray,glyphAtlasImage:e.image,imageAtlas:r,glyphMap:this.returnDependencies?f:null,iconMap:this.returnDependencies?p:null,glyphPositions:this.returnDependencies?e.positions:null})}}I.length?a.send(\"getImages\",{icons:I,source:this.source,tileID:this.tileID,type:\"patterns\"},(function(t,e){h||(h=t,d=e,P.call(l))})):d={},P.call(this)};var l=function(t,e,r,n){this.actor=t,this.layerIndex=e,this.availableImages=r,this.loadVectorData=n||s,this.loading={},this.loaded={}};l.prototype.loadTile=function(e,r){var n=this,i=e.uid;this.loading||(this.loading={});var o=!!(e&&e.request&&e.request.collectResourceTiming)&&new t.RequestPerformance(e.request),s=this.loading[i]=new a(e);s.abort=this.loadVectorData(e,(function(e,a){if(delete n.loading[i],e||!a)return s.status=\"done\",n.loaded[i]=s,r(e);var l=a.rawData,c={};a.expires&&(c.expires=a.expires),a.cacheControl&&(c.cacheControl=a.cacheControl);var u={};if(o){var h=o.finish();h&&(u.resourceTiming=JSON.parse(JSON.stringify(h)))}s.vectorTile=a.vectorTile,s.parse(a.vectorTile,n.layerIndex,n.availableImages,n.actor,(function(e,n){if(e||!n)return r(e);r(null,t.extend({rawTileData:l.slice(0)},n,c,u))})),n.loaded=n.loaded||{},n.loaded[i]=s}))},l.prototype.reloadTile=function(t,e){var r=this,n=this.loaded,i=t.uid,a=this;if(n&&n[i]){var o=n[i];o.showCollisionBoxes=t.showCollisionBoxes;var s=function(t,n){var i=o.reloadCallback;i&&(delete o.reloadCallback,o.parse(o.vectorTile,a.layerIndex,r.availableImages,a.actor,i)),e(t,n)};\"parsing\"===o.status?o.reloadCallback=s:\"done\"===o.status&&(o.vectorTile?o.parse(o.vectorTile,this.layerIndex,this.availableImages,this.actor,s):s())}},l.prototype.abortTile=function(t,e){var r=this.loading,n=t.uid;r&&r[n]&&r[n].abort&&(r[n].abort(),delete r[n]),e()},l.prototype.removeTile=function(t,e){var r=this.loaded,n=t.uid;r&&r[n]&&delete r[n],e()};var c=t.window.ImageBitmap,u=function(){this.loaded={}};u.prototype.loadTile=function(e,r){var n=e.uid,i=e.encoding,a=e.rawImageData,o=c&&a instanceof c?this.getImageData(a):a,s=new t.DEMData(n,o,i);this.loaded=this.loaded||{},this.loaded[n]=s,r(null,s)},u.prototype.getImageData=function(e){this.offscreenCanvas&&this.offscreenCanvasContext||(this.offscreenCanvas=new OffscreenCanvas(e.width,e.height),this.offscreenCanvasContext=this.offscreenCanvas.getContext(\"2d\")),this.offscreenCanvas.width=e.width,this.offscreenCanvas.height=e.height,this.offscreenCanvasContext.drawImage(e,0,0,e.width,e.height);var r=this.offscreenCanvasContext.getImageData(-1,-1,e.width+2,e.height+2);return this.offscreenCanvasContext.clearRect(0,0,this.offscreenCanvas.width,this.offscreenCanvas.height),new t.RGBAImage({width:r.width,height:r.height},r.data)},u.prototype.removeTile=function(t){var e=this.loaded,r=t.uid;e&&e[r]&&delete e[r]};var h=function t(e,r){var n,i=e&&e.type;if(\"FeatureCollection\"===i)for(n=0;n=0!=!!e&&t.reverse()}var d=t.vectorTile.VectorTileFeature.prototype.toGeoJSON,m=function(e){this._feature=e,this.extent=t.EXTENT,this.type=e.type,this.properties=e.tags,\"id\"in e&&!isNaN(e.id)&&(this.id=parseInt(e.id,10))};m.prototype.loadGeometry=function(){if(1===this._feature.type){for(var e=[],r=0,n=this._feature.geometry;r>31}function I(t,e){for(var r=t.loadGeometry(),n=t.type,i=0,a=0,o=r.length,s=0;s>1;O(t,e,o,n,i,a%2),z(t,e,r,n,o-1,a+1),z(t,e,r,o+1,i,a+1)}}function O(t,e,r,n,i,a){for(;i>n;){if(i-n>600){var o=i-n+1,s=r-n+1,l=Math.log(o),c=.5*Math.exp(2*l/3),u=.5*Math.sqrt(l*c*(o-c)/o)*(s-o/2<0?-1:1);O(t,e,r,Math.max(n,Math.floor(r-s*c/o+u)),Math.min(i,Math.floor(r+(o-s)*c/o+u)),a)}var h=e[2*r+a],f=n,p=i;for(D(t,e,n,r),e[2*i+a]>h&&D(t,e,n,i);fh;)p--}e[2*n+a]===h?D(t,e,n,p):D(t,e,++p,i),p<=r&&(n=p+1),r<=p&&(i=p-1)}}function D(t,e,r,n){R(t,r,n),R(e,2*r,2*n),R(e,2*r+1,2*n+1)}function R(t,e,r){var n=t[e];t[e]=t[r],t[r]=n}function F(t,e,r,n){var i=t-r,a=e-n;return i*i+a*a}b.fromVectorTileJs=w,b.fromGeojsonVt=T,b.GeoJSONWrapper=k;var B=function(t){return t[0]},N=function(t){return t[1]},j=function(t,e,r,n,i){void 0===e&&(e=B),void 0===r&&(r=N),void 0===n&&(n=64),void 0===i&&(i=Float64Array),this.nodeSize=n,this.points=t;for(var a=t.length<65536?Uint16Array:Uint32Array,o=this.ids=new a(t.length),s=this.coords=new i(2*t.length),l=0;l=r&&s<=i&&l>=n&&l<=a&&u.push(t[d]);else{var m=Math.floor((p+f)/2);s=e[2*m],l=e[2*m+1],s>=r&&s<=i&&l>=n&&l<=a&&u.push(t[m]);var g=(h+1)%2;(0===h?r<=s:n<=l)&&(c.push(p),c.push(m-1),c.push(g)),(0===h?i>=s:a>=l)&&(c.push(m+1),c.push(f),c.push(g))}}return u}(this.ids,this.coords,t,e,r,n,this.nodeSize)},j.prototype.within=function(t,e,r){return function(t,e,r,n,i,a){for(var o=[0,t.length-1,0],s=[],l=i*i;o.length;){var c=o.pop(),u=o.pop(),h=o.pop();if(u-h<=a)for(var f=h;f<=u;f++)F(e[2*f],e[2*f+1],r,n)<=l&&s.push(t[f]);else{var p=Math.floor((h+u)/2),d=e[2*p],m=e[2*p+1];F(d,m,r,n)<=l&&s.push(t[p]);var g=(c+1)%2;(0===c?r-i<=d:n-i<=m)&&(o.push(h),o.push(p-1),o.push(g)),(0===c?r+i>=d:n+i>=m)&&(o.push(p+1),o.push(u),o.push(g))}}return s}(this.ids,this.coords,t,e,r,this.nodeSize)};var U={minZoom:0,maxZoom:16,minPoints:2,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:function(t){return t}},V=function(t){this.options=X(Object.create(U),t),this.trees=new Array(this.options.maxZoom+1)};function q(t,e,r,n,i){return{x:t,y:e,zoom:1/0,id:r,parentId:-1,numPoints:n,properties:i}}function H(t,e){var r=t.geometry.coordinates,n=r[0],i=r[1];return{x:W(n),y:Y(i),zoom:1/0,index:e,parentId:-1}}function G(t){return{type:\"Feature\",id:t.id,properties:Z(t),geometry:{type:\"Point\",coordinates:[(n=t.x,360*(n-.5)),(e=t.y,r=(180-360*e)*Math.PI/180,360*Math.atan(Math.exp(r))/Math.PI-90)]}};var e,r,n}function Z(t){var e=t.numPoints,r=e>=1e4?Math.round(e/1e3)+\"k\":e>=1e3?Math.round(e/100)/10+\"k\":e;return X(X({},t.properties),{cluster:!0,cluster_id:t.id,point_count:e,point_count_abbreviated:r})}function W(t){return t/360+.5}function Y(t){var e=Math.sin(t*Math.PI/180),r=.5-.25*Math.log((1+e)/(1-e))/Math.PI;return r<0?0:r>1?1:r}function X(t,e){for(var r in e)t[r]=e[r];return t}function $(t){return t.x}function J(t){return t.y}function K(t,e,r,n){for(var i,a=n,o=r-e>>1,s=r-e,l=t[e],c=t[e+1],u=t[r],h=t[r+1],f=e+3;fa)i=f,a=p;else if(p===a){var d=Math.abs(f-o);dn&&(i-e>3&&K(t,e,i,n),t[i+2]=a,r-i>3&&K(t,i,r,n))}function Q(t,e,r,n,i,a){var o=i-r,s=a-n;if(0!==o||0!==s){var l=((t-r)*o+(e-n)*s)/(o*o+s*s);l>1?(r=i,n=a):l>0&&(r+=o*l,n+=s*l)}return(o=t-r)*o+(s=e-n)*s}function tt(t,e,r,n){var i={id:void 0===t?null:t,type:e,geometry:r,tags:n,minX:1/0,minY:1/0,maxX:-1/0,maxY:-1/0};return function(t){var e=t.geometry,r=t.type;if(\"Point\"===r||\"MultiPoint\"===r||\"LineString\"===r)et(t,e);else if(\"Polygon\"===r||\"MultiLineString\"===r)for(var n=0;n0&&(o+=n?(i*c-l*a)/2:Math.sqrt(Math.pow(l-i,2)+Math.pow(c-a,2))),i=l,a=c}var u=e.length-3;e[2]=1,K(e,0,u,r),e[u+2]=1,e.size=Math.abs(o),e.start=0,e.end=e.size}function at(t,e,r,n){for(var i=0;i1?1:r}function lt(t,e,r,n,i,a,o,s){if(n/=e,a>=(r/=e)&&o=n)return null;for(var l=[],c=0;c=r&&d=n)){var m=[];if(\"Point\"===f||\"MultiPoint\"===f)ct(h,m,r,n,i);else if(\"LineString\"===f)ut(h,m,r,n,i,!1,s.lineMetrics);else if(\"MultiLineString\"===f)ft(h,m,r,n,i,!1);else if(\"Polygon\"===f)ft(h,m,r,n,i,!0);else if(\"MultiPolygon\"===f)for(var g=0;g=r&&o<=n&&(e.push(t[a]),e.push(t[a+1]),e.push(t[a+2]))}}function ut(t,e,r,n,i,a,o){for(var s,l,c=ht(t),u=0===i?dt:mt,h=t.start,f=0;fr&&(l=u(c,p,d,g,y,r),o&&(c.start=h+s*l)):v>n?x=r&&(l=u(c,p,d,g,y,r),_=!0),x>n&&v<=n&&(l=u(c,p,d,g,y,n),_=!0),!a&&_&&(o&&(c.end=h+s*l),e.push(c),c=ht(t)),o&&(h+=s)}var b=t.length-3;p=t[b],d=t[b+1],m=t[b+2],(v=0===i?p:d)>=r&&v<=n&&pt(c,p,d,m),b=c.length-3,a&&b>=3&&(c[b]!==c[0]||c[b+1]!==c[1])&&pt(c,c[0],c[1],c[2]),c.length&&e.push(c)}function ht(t){var e=[];return e.size=t.size,e.start=t.start,e.end=t.end,e}function ft(t,e,r,n,i,a){for(var o=0;oo.maxX&&(o.maxX=u),h>o.maxY&&(o.maxY=h)}return o}function bt(t,e,r,n){var i=e.geometry,a=e.type,o=[];if(\"Point\"===a||\"MultiPoint\"===a)for(var s=0;s0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;lo)&&(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;n0===e)for(n=0,i=t.length;n24)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=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new j(s,$,J,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",c,s.length,+Date.now()-u)}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)],c=[],u=0,h=l.range(W(r),Y(a),W(i),Y(n));ue&&(d+=v.numPoints||1)}if(d>=s){for(var x=u.x*p,_=u.y*p,b=o&&p>1?this._map(u,!0):null,w=(c<<5)+(e+1)+this.points.length,T=0,k=f;T1)for(var E=0,C=f;E>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,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<1&&console.time(\"creation\"),f=this.tiles[h]=_t(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,f.numFeatures,f.numPoints,f.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(f.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<1&&console.time(\"clipping\");var m,g,y,v,x,_,b=.5*l.buffer/l.extent,w=.5-b,T=.5+b,k=1+b;m=g=y=v=null,x=lt(t,u,r-b,r+T,0,f.minX,f.maxX,l),_=lt(t,u,r+w,r+k,0,f.minX,f.maxX,l),t=null,x&&(m=lt(x,u,n-b,n+T,1,f.minY,f.maxY,l),g=lt(x,u,n+w,n+k,1,f.minY,f.maxY,l),x=null),_&&(y=lt(_,u,n-b,n+T,1,f.minY,f.maxY,l),v=lt(_,u,n+w,n+k,1,f.minY,f.maxY,l),_=null),c>1&&console.timeEnd(\"clipping\"),s.push(m||[],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(v||[],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<1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,c=t,u=e,h=r;!l&&c>0;)c--,u=Math.floor(u/2),h=Math.floor(h/2),l=this.tiles[kt(c,u,h)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",c,u,h),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,c,u,h,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?vt(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.\"));h(o,!0);try{if(n.filter){var s=t.createExpression(n.filter,{type:\"boolean\",\"property-type\":\"data-driven\",overridable:!1,transition:!1});if(\"error\"===s.result)throw new Error(s.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));var l=o.features.filter((function(t){return s.value.evaluate({zoom:0},t)}));o={type:\"FeatureCollection\",features:l}}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),c=0,u=l;c=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var f=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e=0?1.2:1))}function y(t,e,r,n,i,a,o){for(var s=0;s65535)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;i1&&(l=t[++s]);var u=Math.abs(c-l.left),h=Math.abs(c-l.right),f=Math.min(u,h),p=void 0,d=i/r*(n+1);if(l.isDash){var m=n-Math.abs(d);p=Math.sqrt(f*f+m*m)}else p=n-Math.sqrt(f*f+d*d);this.data[o+c]=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],c=0;c1&&(l=t[++s]);var u=Math.abs(c-l.left),h=Math.abs(c-l.right),f=Math.min(u,h),p=l.isDash?f:-f;this.data[o+c]=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=n&&e.x=i&&e.y0&&(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+10&&(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),P=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),z=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;or.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,P.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}(z),D=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,P.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];tthis.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];n1||(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(Ot(this._source.type)){for(var c={},u={},h=0,f=Object.keys(l);hthis._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 v=d.children(this._source.maxzoom);if(n[v[0].key]&&n[v[1].key]&&n[v[2].key]&&n[v[3].key])continue}for(var x=m.wasRequested(),_=d.overscaledZ-1;_>=a;--_){var b=d.scaledTo(_);if(i[b.key])break;if(i[b.key]=!0,!(m=this.getTile(b))&&x&&(m=this._addTile(b)),m&&(n[b.key]=b,x=m.wasRequested(),m.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;a0||(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)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),h=1/0,f=1/0,p=-1/0,d=-1/0,m=0,g=c;m=0&&y[1].y+g>=0){var v=l.map((function(t){return s.getTilePoint(t)})),x=c.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:v,cameraQueryGeometry:x,scale:m})}}},x=0;x=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 zt(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 Ot(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function Dt(){return new t.window.Worker(oa.workerUrl)}Pt.maxOverzooming=10,Pt.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.length0?(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=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ae(e,r,n,i,a,o,s,l){var c=i?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),h=[256/n.width*2+1,256/n.height*2+1],f=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;f.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,m=n.transform.width/n.transform.height,g=!1,y=0;yMath.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.yn.x)?{needsFlipping:!0}:null}function le(e,r,n,i,a,o,s,l,c,u,h,f,p,d){var m,g=r/24,y=e.lineOffsetX*g,v=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,_=e.lineStartIndex,b=e.lineStartIndex+e.lineLength,w=oe(g,l,y,v,n,h,f,e,c,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}m=[w.first];for(var M=e.glyphStartIndex+1;M0?L.point:ce(f,C,S,1,a),P=se(e.writingMode,S,I,d);if(P)return P}var z=ue(g*l.getoffsetX(e.glyphStartIndex),y,v,n,h,f,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p);if(!z)return{notEnoughRoom:!0};m=[z]}for(var O=0,D=m;O0?1:-1,m=0;i&&(d*=-1,m=Math.PI),d<0&&(m+=Math.PI);for(var g=d>0?l+s:l+s+1,y=a,v=a,x=0,_=0,b=Math.abs(p),w=[];x+_<=b;){if((g+=d)=c)return null;if(v=y,w.push(y),void 0===(y=f[g])){var T=new t.Point(u.getx(g),u.gety(g)),k=re(T,h);if(k.signedDistanceFromCamera>0)y=f[g]=k.point;else{var A=g-d;y=ce(0===x?o:new t.Point(u.getx(A),u.gety(A)),T,v,b-x+1,h)}}x+=_,_=v.dist(y)}var M=(b-x)/_,S=y.sub(v),E=S.mult(M)._add(v);E._add(S._unit()._perp()._mult(n*d));var C=m+Math.atan2(y.y-v.y,y.x-v.x);return w.push(E),{point:E,angle:C,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;s0: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 c=[],u={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,c,u,i),n?c.length>0:c},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,c=this.boxCells[i];if(null!==c)for(var u=this.bboxes,h=0,f=c;h=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var m=this.circleCells[i];if(null!==m)for(var g=this.circles,y=0,v=m;yo*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 c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var h=l-s,f=u-c;return h*h+f*f<=r*r};var he=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function fe(t,e){for(var r=0;r=1;I--)L.push(E.path[I]);for(var P=1;P0){for(var R=L[0].clone(),F=L[0].clone(),B=1;B=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[L]:F.xM.x||F.yM.y?[]:t.clipLine([L],A.x,A.y,M.x,M.y)}for(var N=0,j=D;N=this.screenRightBoundary||nthis.screenBottomBoundary},me.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t=0&&e0?(this.prevPlacement&&this.prevPlacement.variableOffsets[h.crossTileID]&&this.prevPlacement.placements[h.crossTileID]&&this.prevPlacement.placements[h.crossTileID].text&&(m=this.prevPlacement.variableOffsets[h.crossTileID].anchor),this.variableOffsets[h.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:m},this.markUsedJustification(f,t,h,p),f.allowVerticalPlacement&&(this.markUsedOrientation(f,p,h),this.placedOrientations[h.crossTileID]=p),{shift:y,placedGlyphBoxes:v}):void 0},Ae.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,c=a.textLabelPlaneMatrix,u=a.labelToScreenMatrix,h=a.textPixelRatio,f=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,m=a.collisionGroup,g=s.get(\"text-optional\"),y=s.get(\"icon-optional\"),v=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),_=\"map\"===s.get(\"text-rotation-alignment\"),b=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=v&&(x||!o.hasIconData()||y),A=x&&(v||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(f)i.placements[e.crossTileID]=new xe(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,C={box:null,offscreen:null},L={box:null,offscreen:null},I=null,P=null,z=0,O=0,D=0;a.textFeatureIndex?z=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(z=e.featureIndex),a.verticalTextFeatureIndex&&(O=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;i0&&(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,c=e.textBoxScale,u=w&&!x?r:null,f={box:[],offscreen:!1},p=v?2*N.length:N.length,d=0;d=N.length,k=i.attemptAnchorPlacement(g,t,a,s,c,_,b,h,l,m,y,e,o,n,u);if(k&&(f=k.placedGlyphBoxes)&&f.box&&f.box.length){T=!0,E=k.shift;break}}return f};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=C&&C.box&&C.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),C&&(T=C.box,S=C.offscreen);var V=F(C&&C.box);if(!T&&i.prevPlacement){var q=i.prevPlacement.variableOffsets[e.crossTileID];q&&(i.variableOffsets[e.crossTileID]=q,i.markUsedJustification(o,q.anchor,e,V))}}else{var H=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,v,h,l,m.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return H(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?H(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(C&&C.box&&C.box.length)}}if(T=(p=C)&&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),W=s.get(\"text-padding\"),Y=e.collisionCircleDiameter;I=i.collisionIndex.placeCollisionCircles(v,G,o.lineVertexArray,o.glyphOffsetArray,Z,l,c,u,n,b,m.predicate,Y,W),T=v||I.circles.length>0&&!I.collisionDetected,S=S&&I.offscreen}if(a.iconFeatureIndex&&(D=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,h,l,m.predicate)};M=L&&L.box&&L.box.length&&a.verticalIconBox?(P=X(a.verticalIconBox)).box.length>0:(P=X(a.iconBox)).box.length>0,S=S&&P.offscreen}var $=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,J=y||0===e.numIconVertices;if($||J?J?$||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(L&&L.box&&O?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,m.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,m.ID)),M&&P&&i.collisionIndex.insertCollisionBox(P.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,D,m.ID),I&&(T&&i.collisionIndex.insertCollisionCircles(I.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,m.ID),n)){var K=o.bucketInstanceId,Q=i.collisionCircleArrays[K];void 0===Q&&(Q=i.collisionCircleArrays[K]=new _e);for(var tt=0;tt=0;--E){var C=S[E];M(o.symbolInstances.get(C),o.collisionArrays[C])}else for(var L=e.symbolInstanceStart;L=0&&(e.text.placedSymbolArray.get(c).crossTileID=a>=0&&c!==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];o0||l>0,x=a.numIconVertices>0,_=i.placedOrientations[a.crossTileID],b=_===t.WritingMode.vertical,w=_===t.WritingMode.horizontal||_===t.WritingMode.horizontalOnly;if(v){var T=Oe(y.text),k=b?De:T;d(e.text,s,k);var A=w?De: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||b?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,_);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\"left\",a,E),i.markUsedOrientation(e,E,a))}if(x){var C=Oe(y.icon),L=!(f&&a.verticalPlacedIconSymbolIndex&&b);if(a.placedIconSymbolIndex>=0){var I=L?C:De;d(e.icon,a.numIconVertices,I),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var P=L?De:C;d(e.icon,a.numVerticalIconVertices,P),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var z=e.collisionArrays[n];if(z){var O=new t.Point(0,0);if(z.textBox||z.verticalTextBox){var D=!0;if(c){var R=i.variableOffsets[m];R?(O=Te(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),u&&O._rotate(h?i.transform.angle:-i.transform.angle)):D=!1}z.textBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!D||b,O.x,O.y),z.verticalTextBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!D||w,O.x,O.y)}var F=Boolean(!w&&z.verticalIconBox);z.iconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,F,f?O.x:0,f?O.y:0),z.verticalIconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,!F,f?O.x:0,f?O.y:0)}}},g=0;gt},Ae.prototype.setStale=function(){this.stale=!0};var Se=Math.pow(2,25),Ee=Math.pow(2,24),Ce=Math.pow(2,17),Le=Math.pow(2,16),Ie=Math.pow(2,9),Pe=Math.pow(2,8),ze=Math.pow(2,1);function Oe(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*Ce+e*Le+r*Ie+e*Pe+r*ze+e}var De=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._currentTileIndex2};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;nt.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var c=o[t.scaledTo(Number(a)).key];c&&c.findMatches(e.symbolInstances,t,i)}}for(var u=0;u1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,a=e,u())}));function u(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],c=l.width,u=l.height,h=l.x,f=l.y,p=l.sdf,d=l.pixelRatio,m=l.stretchX,g=l.stretchY,y=l.content,v=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,v,{x:h,y:f},{x:0,y:0},{width:c,height:u}),r[s]={data:v,pixelRatio:d,sdf:p,stretchX:m,stretchY:g,content:y}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=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;r0)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._afterImageUpdated(e)},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._afterImageUpdated(e)},r.prototype._afterImageUpdated=function(e){this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.dispatcher.broadcast(\"setImages\",this._availableImages),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 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 Pt(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(qe(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 required 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=0;d--){var m=this._order[d];if(r(m))for(var g=i.length-1;g>=0;g--){var y=i[g].feature;if(n[y.layer.id] 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=br(\"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=br(\"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=br(\"#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=br(\"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=br(\"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=br(\"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);}\"),cr=br(\"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;}\"),ur=br(\"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;}\"),hr=br(\"#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 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 exaggerationFactor=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;float exaggeration=u_zoom < 15.0 ? (u_zoom-15.0)*exaggerationFactor : 0.0;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/pow(2.0,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;}\"),fr=br(\"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=br(\"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=br(\"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 vec2 v_uv;\\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,v_uv);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;attribute float a_uv_x;attribute float a_split_index;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;uniform float u_image_height;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp vec2 v_uv;\\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;highp float texel_height=1.0/u_image_height;highp float half_texel_height=0.5*texel_height;v_uv=vec2(a_uv_x,a_split_index*texel_height-half_texel_height);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);}\"),mr=br(\"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=br(\"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=br(\"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;}\"),vr=br(\"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=br(\"#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);}\"),_r=br(\"#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 br(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n=e.match(/attribute ([\\w]+) ([\\w]+)/g),i=t.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),a=e.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),o=a?a.concat(i):i,s={};return{fragmentSource:t=t.replace(r,(function(t,e,r,n,i){return s[i]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nvarying \"+r+\" \"+n+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+i+\"\\n \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,n,i){var a=\"float\"===n?\"vec2\":\"vec4\",o=i.match(/color/)?\"color\":a;return s[i]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+a+\" a_\"+i+\";\\nvarying \"+r+\" \"+n+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===o?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n \"+i+\" = a_\"+i+\";\\n#else\\n \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n \"+i+\" = unpack_mix_\"+o+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+a+\" a_\"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===o?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n \"+r+\" \"+n+\" \"+i+\" = a_\"+i+\";\\n#else\\n \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n \"+r+\" \"+n+\" \"+i+\" = unpack_mix_\"+o+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"})),staticAttributes:n,staticUniforms:o}}var wr=Object.freeze({__proto__:null,prelude:Xe,background:$e,backgroundPattern:Je,circle:Ke,clippingMask:Qe,heatmap:tr,heatmapTexture:er,collisionBox:rr,collisionCircle:nr,debug:ir,fill:ar,fillOutline:or,fillOutlinePattern:sr,fillPattern:lr,fillExtrusion:cr,fillExtrusionPattern:ur,hillshadePrepare:hr,hillshade:fr,line:pr,lineGradient:dr,linePattern:mr,lineSDF:gr,raster:yr,symbolIcon:vr,symbolSDF:xr,symbolTextAndIcon:_r}),Tr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};function kr(t){for(var e=[],r=0;r>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}Ar.prototype.draw=function(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m){var g,y=t.gl;if(!this.failedToCreate){for(var v in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[v].set(o[v]);p&&p.setUniforms(t,this.binderUniforms,h,{zoom:f});for(var x=(g={},g[y.LINES]=2,g[y.TRIANGLES]=3,g[y.LINE_STRIP]=1,g)[e],_=0,b=u.get();_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:Xr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Xr(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 $r,Jr=function(t,e,r,n,i,a,o,s,l,c){var u=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Kr=function(e,r,n,i,a,o,s,l,c,u,h){var f=a.transform;return t.extend(Jr(e,r,n,i,a,o,s,l,c,u),{u_gamma_scale:i?Math.cos(f._pitch)*f.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+h})},Qr=function(e,r,n,i,a,o,s,l,c,u){return t.extend(Kr(e,r,n,i,a,o,s,l,!0,c,!0),{u_texsize_icon:u,u_texture_icon:1})},tn=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},en=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,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,h=u*(n.tileID.canonical.x+n.tileID.wrap*c),f=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/ge(n,1,r.transform.tileZoom),u_pixel_coord_upper:[h>>16,f>>16],u_pixel_coord_lower:[65535&h,65535&f]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},rn={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_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),u_image_height:new t.Uniform1f(e,r.u_image_height)}},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 nn(e,r,n,i,a,o,s){for(var l=e.context,c=l.gl,u=e.useProgram(\"collisionBox\"),h=[],f=0,p=0,d=0;d0){var b=t.create(),w=v;t.mul(b,y.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(b,b,y.placementViewportMatrix),h.push({circleArray:_,circleOffset:p,transform:w,invTransform:b}),p=f+=_.length/4}x&&u.draw(l,c.LINES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Lt.disabled,Or(v,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&h.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*f),k._trim();for(var A=0,M=0,S=h;M=0&&(m[y.associatedIconIndex]={shiftedAnchor:S,angle:E})}else fe(y.numGlyphs,p)}if(h){d.clear();for(var L=e.icon.placedSymbolArray,I=0;I0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),h=a.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),f=!r||Math.abs(r.tileID.overscaledZ-h)>Math.abs(e.tileID.overscaledZ-h),p=f&&e.refreshedUponExpiration?1:t.clamp(f?l:1-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var gn=new t.Color(1,0,0,1),yn=new t.Color(0,1,0,1),vn=new t.Color(0,0,1,1),xn=new t.Color(1,0,1,1),_n=new t.Color(0,1,1,1);function bn(t){var e=t.transform.padding;wn(t,t.transform.height-(e.top||0),3,gn),wn(t,e.bottom||0,3,yn),Tn(t,e.left||0,3,vn),Tn(t,t.transform.width-(e.right||0),3,xn);var r=t.transform.centerPoint;!function(t,e,r,n){var i=20,a=2;kn(t,e-a/2,r-i/2,a,i,n),kn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,_n)}function wn(t,e,r,n){kn(t,0,e+r/2,t.transform.width,r,n)}function Tn(t,e,r,n){kn(t,e-r/2,0,r,t.transform.height,n)}function kn(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 An(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=Mt.disabled,c=Et.disabled,u=e.colorModeForRenderPass(),h=\"$debug\";i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,c,u,Lt.disabled,Rr(o,t.Color.red),h,e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var f=r.getTileByID(n.key).latestRawTileData,p=f&&f.byteLength||0,d=Math.floor(p/1024),m=r.getTile(n).tileSize,g=512/Math.min(m,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,c,Ct.alphaBlended,Lt.disabled,Rr(o,t.Color.transparent,g),h,e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var Mn={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,c=\"map\"===a,u=\"map\"===o,h=0,f=e;h256&&this.clearStencil(),r.setColorMode(Ct.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a256&&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)},Sn.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)},Sn.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=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=u[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer0?e.pop():null},Sn.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},Sn.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 Ar(this.context,t,wr[t],e,rn[t],this._showOverdrawInspector)),this.cache[r]},Sn.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()},Sn.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)},Sn.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)}},Sn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var En=function(t,e){this.points=t,this.planes=e};En.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 En(a,o)};var Cn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Cn.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=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var c=Number.MAX_VALUE,u=-Number.MAX_VALUE,h=0;hthis.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 In=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}};In.prototype.clone=function(){var t=new In(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)},In.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},In.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},In.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)},In.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},In.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&re.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=En.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var c=function(t){return{aabb:new Cn([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},u=[],h=[],f=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)u.push(c(-d)),u.push(c(d));for(u.push(c(0));u.length>0;){var m=u.pop(),g=m.x,y=m.y,v=m.fullyVisible;if(!v){var x=m.aabb.intersects(s);if(0===x)continue;v=2===x}var _=m.aabb.distanceX(o),b=m.aabb.distanceY(o),w=Math.max(Math.abs(_),Math.abs(b)),T=3+(1<T&&m.zoom>=l)h.push({tileID:new t.OverscaledTileID(m.zoom===f?p:m.zoom,m.wrap,m.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);u.push({aabb:m.aabb.quadrant(k),zoom:m.zoom+1,x:A,y:M,wrap:m.wrap,fullyVisible:v})}}return h.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},In.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},In.prototype.zoomScale=function(t){return Math.pow(2,t)},In.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},In.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)},In.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)},In.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())},In.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},In.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},In.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},In.prototype.coordinateLocation=function(t){return t.toLngLat()},In.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,c=n[1]/a,u=r[2]/i,h=n[2]/a,f=u===h?0:(0-u)/(h-u);return new t.MercatorCoordinate(t.number(o,s,f)/this.worldSize,t.number(l,c,f)/this.worldSize)},In.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])},In.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)))},In.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},In.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])},In.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]},In.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},In.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var h=this.latRange;a=t.mercatorYfromLat(h[1])*this.worldSize,e=(o=t.mercatorYfromLat(h[0])*this.worldSize)-ao&&(i=o-g)}if(this.lngRange){var y=p.x,v=c.x/2;y-vl&&(n=l-v)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=u,this._constraining=!1}},In.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,c=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),u=this.height/50,h=new Float64Array(16);t.perspective(h,this._fov,this.width/this.height,u,c),h[8]=2*-r.x/this.width,h[9]=2*r.y/this.height,t.scale(h,h,[1,-1,1]),t.translate(h,h,[0,0,-this.cameraToCenterDistance]),t.rotateX(h,h,this._pitch),t.rotateZ(h,h,this.angle),t.translate(h,h,[-s,-l,0]),this.mercatorMatrix=t.scale([],h,[this.worldSize,this.worldSize,this.worldSize]),t.scale(h,h,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=h,this.invProjMatrix=t.invert([],this.projMatrix);var f=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),m=Math.sin(this.angle),g=s-Math.round(s)+d*f+m*p,y=l-Math.round(l)+d*p+m*f,v=new Float64Array(h);if(t.translate(v,v,[g>.5?g-1:g,y>.5?y-1:y,0]),this.alignedProjMatrix=v,h=t.create(),t.scale(h,h,[this.width/2,-this.height/2,1]),t.translate(h,h,[1,-1,0]),this.labelPlaneMatrix=h,h=t.create(),t.scale(h,h,[1,-1,1]),t.translate(h,h,[-1,-1,0]),t.scale(h,h,[2/this.width,2/this.height,1]),this.glCoordMatrix=h,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(h=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=h,this._posMatrixCache={},this._alignedPosMatrixCache={}}},In.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},In.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},In.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=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},zn.prototype._updateHashUnthrottled=function(){var e=t.window.location.href.replace(/(#.+)?$/,this.getHashString());try{t.window.history.replaceState(t.window.history.state,null,e)}catch(t){}};var On={linearity:.3,easing:t.bezier(0,0,.3,1)},Dn=t.extend({deceleration:2500,maxSpeed:1400},On),Rn=t.extend({deceleration:20,maxSpeed:1400},On),Fn=t.extend({deceleration:1e3,maxSpeed:360},On),Bn=t.extend({deceleration:1e3,maxSpeed:90},On),Nn=function(t){this._map=t,this.clear()};function jn(t,e){(!t.duration||t.duration0&&r-e[0].time>160;)e.shift()},Nn.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=this._clickTolerance||this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.dblclick=function(t){return this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseover=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.mouseout=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.touchstart=function(t){return this._firePreventable(new qn(t.type,this._map,t))},Gn.prototype.touchmove=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchend=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchcancel=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Gn.prototype.isEnabled=function(){return!0},Gn.prototype.isActive=function(){return!1},Gn.prototype.enable=function(){},Gn.prototype.disable=function(){};var Zn=function(t){this._map=t};Zn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Zn.prototype.mousemove=function(t){this._map.fire(new Vn(t.type,this._map,t))},Zn.prototype.mousedown=function(){this._delayContextMenu=!0},Zn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Vn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Zn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Vn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},Zn.prototype.isEnabled=function(){return!0},Zn.prototype.isActive=function(){return!1},Zn.prototype.enable=function(){},Zn.prototype.disable=function(){};var Wn=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;nthis.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;n30)&&(this.aborted=!0)}}},Xn.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 $n=function(t){this.singleTap=new Xn(t),this.numTaps=t.numTaps,this.reset()};$n.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},$n.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},$n.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},$n.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 $n({numTouches:1,numTaps:2}),this._zoomOut=new $n({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={};Kn[0]=1,Kn[2]=2;var Qn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Qn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Qn.prototype._correctButton=function(t,e){return!1},Qn.prototype._move=function(t,e){return{}},Qn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Qn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r)if(t.preventDefault(),function(t,e){var r=Kn[e];return void 0===t.buttons||(t.buttons&r)!==r}(t,this._eventButton))this.reset();else if(this._moved||!(e.dist(r)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 c=i[l],u=this._touches[l];u&&(a._add(c),o._add(c.sub(u)),s++,i[l]=c)}if(this._touches=i,!(sMath.abs(t.x)}var hi=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,ui(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 ui(t)&&ui(e)&&a}},e}(ii),fi={panStep:100,bearingStep:15,pitchStep:10},pi=function(){var t=fi;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep,this._rotationDisabled=!1};function di(t){return t*(2-t)}pi.prototype.reset=function(){this._active=!1},pi.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 this._rotationDisabled&&(n=0,i=0),{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:di,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})}}}},pi.prototype.enable=function(){this._enabled=!0},pi.prototype.disable=function(){this._enabled=!1,this.reset()},pi.prototype.isEnabled=function(){return this._enabled},pi.prototype.isActive=function(){return this._active},pi.prototype.disableRotation=function(){this._rotationDisabled=!0},pi.prototype.enableRotation=function(){this._rotationDisabled=!1};var mi=4.000244140625,gi=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222,t.bindAll([\"_onTimeout\"],this)};gi.prototype.setZoomRate=function(t){this._defaultZoomRate=t},gi.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},gi.prototype.isEnabled=function(){return!!this._enabled},gi.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},gi.prototype.isZooming=function(){return!!this._zooming},gi.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},gi.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},gi.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%mi==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()}},gi.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},gi.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())}},gi.prototype.renderFrame=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)>mi?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,c=this._easing,u=!1;if(\"wheel\"===this._type&&l&&c){var h=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),f=c(h);o=t.number(l,s,f),h<1?this._frameId||(this._frameId=!0):u=!0}else o=s,u=!0;return this._active=!0,u&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!u,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},gi.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},gi.prototype.reset=function(){this._active=!1};var yi=function(t,e){this._clickZoom=t,this._tapZoom=e};yi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},yi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},yi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},yi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var vi=function(){this.reset()};vi.prototype.reset=function(){this._active=!1},vi.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})}}},vi.prototype.enable=function(){this._enabled=!0},vi.prototype.disable=function(){this._enabled=!1,this.reset()},vi.prototype.isEnabled=function(){return this._enabled},vi.prototype.isActive=function(){return this._active};var xi=function(){this._tap=new $n({numTouches:1,numTaps:1}),this.reset()};xi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},xi.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))},xi.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)},xi.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)},xi.prototype.touchcancel=function(){this.reset()},xi.prototype.enable=function(){this._enabled=!0},xi.prototype.disable=function(){this._enabled=!1,this.reset()},xi.prototype.isEnabled=function(){return this._enabled},xi.prototype.isActive=function(){return this._active};var _i=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};_i.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},_i.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},_i.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},_i.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var bi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};bi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},bi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},bi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},bi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var wi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};wi.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\")},wi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},wi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},wi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},wi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},wi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var Ti=function(t){return t.zoom||t.drag||t.pitch||t.rotate},ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function Ai(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var Mi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Nn(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:!0}],[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;aa?Math.min(2,b):Math.max(.5,b),w=Math.pow(g,1-e),T=i.unproject(x.add(_.mult(e*w)).mult(m));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(),c=this.getPadding(),u=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,h=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,f=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(u-o),m=t.Point.convert(e.offset),g=a.centerPoint.add(m),y=a.pointLocation(g),v=t.LngLat.convert(e.center||y);this._normalizeCenter(v);var x=a.project(y),_=a.project(v).sub(x),b=e.curve,w=Math.max(a.width,a.height),T=w/d,k=_.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,u),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);b=Math.sqrt(M/k*2)}var S=b*b;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 C(t){return(Math.exp(t)-Math.exp(-t))/2}function L(t){return(Math.exp(t)+Math.exp(-t))/2}var I=E(0),P=function(t){return L(I)/L(I+b*t)},z=function(t){return w*((L(I)*(C(e=I+b*t)/L(e))-C(I))/S)/k;var e},O=(E(1)-I)/b;if(Math.abs(k)<1e-6||!isFinite(O)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=Te.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==h,this._pitching=f!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*O,d=1/P(i);a.zoom=1===e?u:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,h,e)),n._pitching&&(a.pitch=t.number(l,f,e)),n._padding&&(a.interpolatePadding(c,p,e),g=a.centerPoint.add(m));var y=1===e?v:a.unproject(x.add(_.mult(z(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(!1)}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)180?-360:r<-180?360:0}},r}(t.Evented),Ei=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_toggleAttribution\",\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};Ei.prototype.getDefaultPosition=function(){return\"bottom-right\"},Ei.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._compactButton=r.create(\"button\",\"mapboxgl-ctrl-attrib-button\",this._container),this._compactButton.addEventListener(\"click\",this._toggleAttribution),this._setElementTitle(this._compactButton,\"ToggleAttribution\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),this._innerContainer.setAttribute(\"role\",\"list\"),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},Ei.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},Ei.prototype._setElementTitle=function(t,e){var r=this._map._getUIString(\"AttributionControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)},Ei.prototype._toggleAttribution=function(){this._container.classList.contains(\"mapboxgl-compact-show\")?(this._container.classList.remove(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"false\")):(this._container.classList.add(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"true\"))},Ei.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=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)}},Ei.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\",\"mapboxgl-compact-show\")};var Ci=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};Ci.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},Ci.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},Ci.prototype.getDefaultPosition=function(){return\"bottom-left\"},Ci.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},Ci.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}},Ci.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 Li=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Li.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Li.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;re.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>Di)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new In(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 Li,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Ii,e.locale),this._clickTolerance=e.clickTolerance,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 zi))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\",\"_onMapScroll\",\"_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),t.window.addEventListener(\"orientationchange\",this._onWindowResize,!1)),this.handlers=new Mi(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new zn(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 Ei({customAttribution:e.customAttribution})),this.addControl(new Ci,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&&(r=e.getDefaultPosition?e.getDefaultPosition():\"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.hasControl=function(t){return this._controls.indexOf(t)>-1},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()=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()Di)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 Vn(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 Vn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Vn(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;o180;){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}Ui.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ui.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)}},Ui.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()},Ui.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ui.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)},Ui.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ui.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ui.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))},Ui.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))},Ui.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)=r}this._isDragging&&(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._pointerdownPos=null,this._isDragging=!1,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._pointerdownPos=t.point,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),Wi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Yi=0,Xi=!1,$i=function(e){function n(r){e.call(this),this.options=t.extend({},Wi,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!==Gi?n(Gi):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){Gi=\"denied\"!==t.state,n(Gi)})):(Gi=!!t.window.navigator.geolocation,n(Gi)),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,Yi=0,Xi=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitudee.getEast()||r.latitudee.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&&Xi)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 Zi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Zi({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\":Yi--,Xi=!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\"),++Yi>1?(e={maximumAge:6e5,timeout:0},Xi=!0):(e=this.options.positionOptions,Xi=!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),Ji={maxWidth:100,unit:\"metric\"},Ki=function(e){this.options=t.extend({},Ji,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Qi(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?ta(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\")):ta(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else r&&\"nautical\"===r.unit?ta(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?ta(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):ta(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function ta(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+\" \"+n}Ki.prototype.getDefaultPosition=function(){return\"bottom-left\"},Ki.prototype._onMove=function(){Qi(this._map,this._container,this.options)},Ki.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},Ki.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Ki.prototype.setUnit=function(t){this.options.unit=t,Qi(this._map,this._container,this.options)};var ea=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\")};ea.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},ea.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},ea.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)},ea.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},ea.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},ea.prototype._isFullscreen=function(){return this._fullscreen},ea.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())},ea.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 ra={closeButton:!0,closeOnClick:!0,focusAfterOpen:!0,className:\"\",maxWidth:\"240px\"},na=[\"a[href]\",\"[tabindex]:not([tabindex='-1'])\",\"[contenteditable]:not([contenteditable='false'])\",\"button:not([disabled])\",\"input:not([disabled])\",\"select:not([disabled])\",\"textarea:not([disabled])\"].join(\", \"),ia=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(ra),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._focusFirstElement(),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){if(this._content)for(;this._content.hasChildNodes();)this._content.firstChild&&this._content.removeChild(this._content.firstChild);else this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container);return this._content.appendChild(t),this._createCloseButton(),this._update(),this._focusFirstElement(),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.setOffset=function(t){return this.options.offset=t,this._update(),this},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createCloseButton=function(){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=\"×\",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=Vi(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=aa(this.options.offset);if(!a){var s,l=this._container.offsetWidth,c=this._container.offsetHeight;s=i.y+o.bottom.ythis._map.transform.height-c?[\"bottom\"]:[],i.xthis._map.transform.width-l/2&&s.push(\"right\"),a=0===s.length?\"bottom\":s.join(\"-\")}var u=i.add(o[a]).round();r.setTransform(this._container,qi[a]+\" translate(\"+u.x+\"px,\"+u.y+\"px)\"),Hi(this._container,a,\"popup\")}},n.prototype._focusFirstElement=function(){if(this.options.focusAfterOpen&&this._container){var t=this._container.querySelector(na);t&&t.focus()}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);function aa(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 aa(new t.Point(0,0))}var oa={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Fi,NavigationControl:ji,GeolocateControl:$i,AttributionControl:Ei,ScaleControl:Ki,FullscreenControl:ea,Popup:ia,Marker:Zi,Style:We,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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i=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(i)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(i)%10-3]}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t<=0?t+1:t,o=this.jdEpoch+this._delay1(a)+this._delay2(a)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=tthis.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.hebrew=a},25512:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=a},42645:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate).toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o(8+(t-=this.jdEpoch)+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s(20+(t-=this.jdEpoch),20),s(t+4,13)]},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return i.day()+20*i.month()+360*i.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=a},91662:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar;var o=n.instance(\"gregorian\");i(a.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidMonth);(t=i.year())<0&&t++;for(var a=i.day(),s=1;s=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=a},66445:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),void 0===this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),void 0===this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var c=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(c,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var c=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var c=t-this.toJD(l,1,1)+1,u=c<=186?Math.ceil(c/31):Math.ceil((c-6)/30),h=t-this.toJD(l,u,1)+1;return this.newDate(l,u,h)}}),n.calendars.persian=a,n.calendars.jalali=a},84756:function(t,e,r){var n=r(24453),i=r(27976),a=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new n.baseCalendar,i(o.prototype,{name:\"Taiwan\",jdEpoch:2419402.5,yearsOffset:1911,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Taiwan\",epochs:[\"BROC\",\"ROC\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:1,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return t=this._t2gYear(e.year()),a.leapYear(t)},weekOfYear:function(t,e,r){var i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return t=this._t2gYear(i.year()),a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=this._t2gYear(i.year()),a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},41858:function(t,e,r){var n=r(24453),i=r(27976),a=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new n.baseCalendar,i(o.prototype,{name:\"Thai\",jdEpoch:1523098.5,yearsOffset:543,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Thai\",epochs:[\"BBE\",\"BE\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return t=this._t2gYear(e.year()),a.leapYear(t)},weekOfYear:function(t,e,r){var i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return t=this._t2gYear(i.year()),a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=this._t2gYear(i.year()),a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},57985:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thalāthā’\",\"Yawm al-Arba‘ā’\",\"Yawm al-Khamīs\",\"Yawm al-Jum‘a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,i=0,a=0;ar)return o[i]-o[i-1];i++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate),a=12*(i.year()-1)+i.month()-15292;return i.day()+o[a-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;ne);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),s=a+1,l=i-12*a,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var i=n.baseCalendar.prototype.isValid.apply(this,arguments);return i&&(i=(t=null!=t.year?t.year:t)>=1276&&t<=1500),i},_validate:function(t,e,r,i){var a=n.baseCalendar.prototype._validate.apply(this,arguments);if(a.year<1276||a.year>1500)throw i.replace(/\\{0\\}/,this.local.name);return a}}),n.calendars.ummalqura=a;var 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n=r(27976);function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return 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0===i?0:1===e?a/i:(Math.pow(e,a)-1)/(Math.pow(e,i)-1)}(r,n,t.stops[a][0],t.stops[a+1][0]),s=t.stops[a][1],l=t.stops[a+1][1],c=Pe[e.type]||gn;return\"function\"==typeof s.evaluate?{evaluate(...e){const r=s.evaluate.apply(void 0,e),n=l.evaluate.apply(void 0,e);if(void 0!==r&&void 0!==n)return c(r,n,o,t.colorSpace)}}:c(s,l,o,t.colorSpace)}function wn(t,e,r){switch(e.type){case\"color\":r=Xt.parse(r);break;case\"formatted\":r=Kt.fromString(r.toString());break;case\"resolvedImage\":r=re.fromString(r.toString());break;case\"padding\":r=Qt.parse(r);break;default:dn(r)===e.type||\"enum\"===e.type&&e.values[r]||(r=void 0)}return vn(r,t.default,e.default)}Qr.register(Kr,{error:[{kind:\"error\"},[ut],(t,[e])=>{throw new le(e.evaluate(t))}],typeof:[ut,[dt],(t,[e])=>bt(ae(e.evaluate(t)))],\"to-rgba\":[_t(ct,4),[ft],(t,[e])=>{const[r,n,i,a]=e.evaluate(t).rgb;return[255*r,255*n,255*i,a]}],rgb:[ft,[ct,ct,ct],tn],rgba:[ft,[ct,ct,ct,ct],tn],has:{type:ht,overloads:[[[ut],(t,[e])=>en(e.evaluate(t),t.properties())],[[ut,pt],(t,[e,r])=>en(e.evaluate(t),r.evaluate(t))]]},get:{type:dt,overloads:[[[ut],(t,[e])=>rn(e.evaluate(t),t.properties())],[[ut,pt],(t,[e,r])=>rn(e.evaluate(t),r.evaluate(t))]]},\"feature-state\":[dt,[ut],(t,[e])=>rn(e.evaluate(t),t.featureState||{})],properties:[pt,[],t=>t.properties()],\"geometry-type\":[ut,[],t=>t.geometryType()],id:[dt,[],t=>t.id()],zoom:[ct,[],t=>t.globals.zoom],\"heatmap-density\":[ct,[],t=>t.globals.heatmapDensity||0],\"line-progress\":[ct,[],t=>t.globals.lineProgress||0],accumulated:[dt,[],t=>void 0===t.globals.accumulated?null:t.globals.accumulated],\"+\":[ct,nn(ct),(t,e)=>{let r=0;for(const n of e)r+=n.evaluate(t);return r}],\"*\":[ct,nn(ct),(t,e)=>{let r=1;for(const n of e)r*=n.evaluate(t);return r}],\"-\":{type:ct,overloads:[[[ct,ct],(t,[e,r])=>e.evaluate(t)-r.evaluate(t)],[[ct],(t,[e])=>-e.evaluate(t)]]},\"/\":[ct,[ct,ct],(t,[e,r])=>e.evaluate(t)/r.evaluate(t)],\"%\":[ct,[ct,ct],(t,[e,r])=>e.evaluate(t)%r.evaluate(t)],ln2:[ct,[],()=>Math.LN2],pi:[ct,[],()=>Math.PI],e:[ct,[],()=>Math.E],\"^\":[ct,[ct,ct],(t,[e,r])=>Math.pow(e.evaluate(t),r.evaluate(t))],sqrt:[ct,[ct],(t,[e])=>Math.sqrt(e.evaluate(t))],log10:[ct,[ct],(t,[e])=>Math.log(e.evaluate(t))/Math.LN10],ln:[ct,[ct],(t,[e])=>Math.log(e.evaluate(t))],log2:[ct,[ct],(t,[e])=>Math.log(e.evaluate(t))/Math.LN2],sin:[ct,[ct],(t,[e])=>Math.sin(e.evaluate(t))],cos:[ct,[ct],(t,[e])=>Math.cos(e.evaluate(t))],tan:[ct,[ct],(t,[e])=>Math.tan(e.evaluate(t))],asin:[ct,[ct],(t,[e])=>Math.asin(e.evaluate(t))],acos:[ct,[ct],(t,[e])=>Math.acos(e.evaluate(t))],atan:[ct,[ct],(t,[e])=>Math.atan(e.evaluate(t))],min:[ct,nn(ct),(t,e)=>Math.min(...e.map((e=>e.evaluate(t))))],max:[ct,nn(ct),(t,e)=>Math.max(...e.map((e=>e.evaluate(t))))],abs:[ct,[ct],(t,[e])=>Math.abs(e.evaluate(t))],round:[ct,[ct],(t,[e])=>{const r=e.evaluate(t);return r<0?-Math.round(-r):Math.round(r)}],floor:[ct,[ct],(t,[e])=>Math.floor(e.evaluate(t))],ceil:[ct,[ct],(t,[e])=>Math.ceil(e.evaluate(t))],\"filter-==\":[ht,[ut,dt],(t,[e,r])=>t.properties()[e.value]===r.value],\"filter-id-==\":[ht,[dt],(t,[e])=>t.id()===e.value],\"filter-type-==\":[ht,[ut],(t,[e])=>t.geometryType()===e.value],\"filter-<\":[ht,[ut,dt],(t,[e,r])=>{const n=t.properties()[e.value],i=r.value;return typeof n==typeof i&&n{const r=t.id(),n=e.value;return typeof r==typeof n&&r\":[ht,[ut,dt],(t,[e,r])=>{const n=t.properties()[e.value],i=r.value;return typeof n==typeof i&&n>i}],\"filter-id->\":[ht,[dt],(t,[e])=>{const r=t.id(),n=e.value;return typeof r==typeof n&&r>n}],\"filter-<=\":[ht,[ut,dt],(t,[e,r])=>{const n=t.properties()[e.value],i=r.value;return typeof n==typeof i&&n<=i}],\"filter-id-<=\":[ht,[dt],(t,[e])=>{const r=t.id(),n=e.value;return typeof r==typeof n&&r<=n}],\"filter->=\":[ht,[ut,dt],(t,[e,r])=>{const n=t.properties()[e.value],i=r.value;return typeof n==typeof i&&n>=i}],\"filter-id->=\":[ht,[dt],(t,[e])=>{const r=t.id(),n=e.value;return typeof r==typeof n&&r>=n}],\"filter-has\":[ht,[dt],(t,[e])=>e.value in t.properties()],\"filter-has-id\":[ht,[],t=>null!==t.id()&&void 0!==t.id()],\"filter-type-in\":[ht,[_t(ut)],(t,[e])=>e.value.indexOf(t.geometryType())>=0],\"filter-id-in\":[ht,[_t(dt)],(t,[e])=>e.value.indexOf(t.id())>=0],\"filter-in-small\":[ht,[ut,_t(dt)],(t,[e,r])=>r.value.indexOf(t.properties()[e.value])>=0],\"filter-in-large\":[ht,[ut,_t(dt)],(t,[e,r])=>function(t,e,r,n){for(;r<=n;){const i=r+n>>1;if(e[i]===t)return!0;e[i]>t?n=i-1:r=i+1}return!1}(t.properties()[e.value],r.value,0,r.value.length-1)],all:{type:ht,overloads:[[[ht,ht],(t,[e,r])=>e.evaluate(t)&&r.evaluate(t)],[nn(ht),(t,e)=>{for(const r of e)if(!r.evaluate(t))return!1;return!0}]]},any:{type:ht,overloads:[[[ht,ht],(t,[e,r])=>e.evaluate(t)||r.evaluate(t)],[nn(ht),(t,e)=>{for(const r of e)if(r.evaluate(t))return!0;return!1}]]},\"!\":[ht,[ht],(t,[e])=>!e.evaluate(t)],\"is-supported-script\":[ht,[ut],(t,[e])=>{const r=t.globals&&t.globals.isSupportedScript;return!r||r(e.evaluate(t))}],upcase:[ut,[ut],(t,[e])=>e.evaluate(t).toUpperCase()],downcase:[ut,[ut],(t,[e])=>e.evaluate(t).toLowerCase()],concat:[ut,nn(dt),(t,e)=>e.map((e=>oe(e.evaluate(t)))).join(\"\")],\"resolved-locale\":[ut,[mt],(t,[e])=>e.evaluate(t).resolvedLocale()]});class Tn{constructor(t,e){var r;this.expression=t,this._warningHistory={},this._evaluator=new de,this._defaultValue=e?\"color\"===(r=e).type&&mn(r.default)?new Xt(0,0,0,0):\"color\"===r.type?Xt.parse(r.default)||null:\"padding\"===r.type?Qt.parse(r.default)||null:\"variableAnchorOffsetCollection\"===r.type?ee.parse(r.default)||null:void 0===r.default?null:r.default:null,this._enumValues=e&&\"enum\"===e.type?e.values:null}evaluateWithoutErrorHandling(t,e,r,n,i,a){return this._evaluator.globals=t,this._evaluator.feature=e,this._evaluator.featureState=r,this._evaluator.canonical=n,this._evaluator.availableImages=i||null,this._evaluator.formattedSection=a,this.expression.evaluate(this._evaluator)}evaluate(t,e,r,n,i,a){this._evaluator.globals=t,this._evaluator.feature=e||null,this._evaluator.featureState=r||null,this._evaluator.canonical=n,this._evaluator.availableImages=i||null,this._evaluator.formattedSection=a||null;try{const t=this.expression.evaluate(this._evaluator);if(null==t||\"number\"==typeof t&&t!=t)return this._defaultValue;if(this._enumValues&&!(t in this._enumValues))throw new le(`Expected value to be one of ${Object.keys(this._enumValues).map((t=>JSON.stringify(t))).join(\", \")}, but found ${JSON.stringify(t)} instead.`);return t}catch(t){return this._warningHistory[t.message]||(this._warningHistory[t.message]=!0,\"undefined\"!=typeof console&&console.warn(t.message)),this._defaultValue}}}function kn(t){return Array.isArray(t)&&t.length>0&&\"string\"==typeof t[0]&&t[0]in Kr}function An(t,e){const r=new me(Kr,an,[],e?function(t){const e={color:ft,string:ut,number:ct,enum:ut,boolean:ht,formatted:gt,padding:yt,resolvedImage:vt,variableAnchorOffsetCollection:xt};return\"array\"===t.type?_t(e[t.value]||dt,t.length):e[t.type]}(e):void 0),n=r.parse(t,void 0,void 0,void 0,e&&\"string\"===e.type?{typeAnnotation:\"coerce\"}:void 0);return n?cn(new Tn(n,e)):un(r.errors)}class Mn{constructor(t,e){this.kind=t,this._styleExpression=e,this.isStateDependent=\"constant\"!==t&&!sn(e.expression)}evaluateWithoutErrorHandling(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)}evaluate(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)}}class Sn{constructor(t,e,r,n){this.kind=t,this.zoomStops=r,this._styleExpression=e,this.isStateDependent=\"camera\"!==t&&!sn(e.expression),this.interpolationType=n}evaluateWithoutErrorHandling(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)}evaluate(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)}interpolationFactor(t,e,r){return this.interpolationType?ze.interpolationFactor(this.interpolationType,t,e,r):0}}function En(t,e){const r=An(t,e);if(\"error\"===r.result)return r;const n=r.value.expression,i=on(n);if(!i&&!hn(e))return un([new ot(\"\",\"data expressions not supported\")]);const a=ln(n,[\"zoom\"]);if(!a&&!fn(e))return un([new ot(\"\",\"zoom expressions not supported\")]);const o=Ln(n);if(!o&&!a)return un([new ot(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.')]);if(o instanceof ot)return un([o]);if(o instanceof ze&&!pn(e))return un([new ot(\"\",'\"interpolate\" expressions cannot be used with this property')]);if(!o)return cn(new Mn(i?\"constant\":\"source\",r.value));const s=o instanceof ze?o.interpolation:void 0;return cn(new Sn(i?\"camera\":\"composite\",r.value,o.labels,s))}class Cn{constructor(t,e){this._parameters=t,this._specification=e,at(this,yn(this._parameters,this._specification))}static deserialize(t){return new Cn(t._parameters,t._specification)}static serialize(t){return{_parameters:t._parameters,_specification:t._specification}}}function Ln(t){let e=null;if(t instanceof ge)e=Ln(t.result);else if(t instanceof De){for(const r of t.args)if(e=Ln(r),e)break}else(t instanceof Ae||t instanceof ze)&&t.input instanceof Qr&&\"zoom\"===t.input.name&&(e=t);return e instanceof ot||t.eachChild((t=>{const r=Ln(t);r instanceof ot?e=r:!e&&r?e=new ot(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.'):e&&r&&e!==r&&(e=new ot(\"\",'Only one zoom-based \"step\" or \"interpolate\" subexpression may be used in an expression.'))})),e}function In(t){if(!0===t||!1===t)return!0;if(!Array.isArray(t)||0===t.length)return!1;switch(t[0]){case\"has\":return t.length>=2&&\"$id\"!==t[1]&&\"$type\"!==t[1];case\"in\":return t.length>=3&&(\"string\"!=typeof t[1]||Array.isArray(t[2]));case\"!in\":case\"!has\":case\"none\":return!1;case\"==\":case\"!=\":case\">\":case\">=\":case\"<\":case\"<=\":return 3!==t.length||Array.isArray(t[1])||Array.isArray(t[2]);case\"any\":case\"all\":for(const e of t.slice(1))if(!In(e)&&\"boolean\"!=typeof e)return!1;return!0;default:return!0}}const Pn={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function zn(t){if(null==t)return{filter:()=>!0,needGeometry:!1};In(t)||(t=Rn(t));const e=An(t,Pn);if(\"error\"===e.result)throw new Error(e.value.map((t=>`${t.key}: ${t.message}`)).join(\", \"));return{filter:(t,r,n)=>e.value.evaluate(t,r,{},n),needGeometry:Dn(t)}}function On(t,e){return te?1:0}function Dn(t){if(!Array.isArray(t))return!1;if(\"within\"===t[0]||\"distance\"===t[0])return!0;for(let e=1;e\"===e||\"<=\"===e||\">=\"===e?Fn(t[1],t[2],e):\"any\"===e?(r=t.slice(1),[\"any\"].concat(r.map(Rn))):\"all\"===e?[\"all\"].concat(t.slice(1).map(Rn)):\"none\"===e?[\"all\"].concat(t.slice(1).map(Rn).map(jn)):\"in\"===e?Bn(t[1],t.slice(2)):\"!in\"===e?jn(Bn(t[1],t.slice(2))):\"has\"===e?Nn(t[1]):\"!has\"!==e||jn(Nn(t[1]));var r}function Fn(t,e,r){switch(t){case\"$type\":return[`filter-type-${r}`,e];case\"$id\":return[`filter-id-${r}`,e];default:return[`filter-${r}`,t,e]}}function Bn(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((t=>typeof t!=typeof e[0]))?[\"filter-in-large\",t,[\"literal\",e.sort(On)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function Nn(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function jn(t){return[\"!\",t]}function Un(t){const e=typeof t;if(\"number\"===e||\"boolean\"===e||\"string\"===e||null==t)return JSON.stringify(t);if(Array.isArray(t)){let e=\"[\";for(const r of t)e+=`${Un(r)},`;return`${e}]`}const r=Object.keys(t).sort();let n=\"{\";for(let e=0;en.maximum?[new it(e,r,`${r} is greater than the maximum value ${n.maximum}`)]:[]}function Xn(t){const e=t.valueSpec,r=Hn(t.value.type);let n,i,a,o={};const s=\"categorical\"!==r&&void 0===t.value.property,l=!s,c=\"array\"===dn(t.value.stops)&&\"array\"===dn(t.value.stops[0])&&\"object\"===dn(t.value.stops[0][0]),u=Zn({key:t.key,value:t.value,valueSpec:t.styleSpec.function,validateSpec:t.validateSpec,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===r)return[new it(t.key,t.value,'identity function may not have a \"stops\" property')];let e=[];const n=t.value;return e=e.concat(Wn({key:t.key,value:n,valueSpec:t.valueSpec,validateSpec:t.validateSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:h})),\"array\"===dn(n)&&0===n.length&&e.push(new it(t.key,n,\"array must have at least one stop\")),e},default:function(t){return t.validateSpec({key:t.key,value:t.value,valueSpec:e,validateSpec:t.validateSpec,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===r&&s&&u.push(new it(t.key,t.value,'missing required property \"property\"')),\"identity\"===r||t.value.stops||u.push(new it(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===r&&t.valueSpec.expression&&!pn(t.valueSpec)&&u.push(new it(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!hn(t.valueSpec)?u.push(new it(t.key,t.value,\"property functions not supported\")):s&&!fn(t.valueSpec)&&u.push(new it(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==r&&!c||void 0!==t.value.property||u.push(new it(t.key,t.value,'\"property\" property is required')),u;function h(t){let r=[];const n=t.value,s=t.key;if(\"array\"!==dn(n))return[new it(s,n,`array expected, ${dn(n)} found`)];if(2!==n.length)return[new it(s,n,`array length 2 expected, length ${n.length} found`)];if(c){if(\"object\"!==dn(n[0]))return[new it(s,n,`object expected, ${dn(n[0])} found`)];if(void 0===n[0].zoom)return[new it(s,n,\"object stop key must have zoom\")];if(void 0===n[0].value)return[new it(s,n,\"object stop key must have value\")];if(a&&a>Hn(n[0].zoom))return[new it(s,n[0].zoom,\"stop zoom values must appear in ascending order\")];Hn(n[0].zoom)!==a&&(a=Hn(n[0].zoom),i=void 0,o={}),r=r.concat(Zn({key:`${s}[0]`,value:n[0],valueSpec:{zoom:{}},validateSpec:t.validateSpec,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:Yn,value:f}}))}else r=r.concat(f({key:`${s}[0]`,value:n[0],valueSpec:{},validateSpec:t.validateSpec,style:t.style,styleSpec:t.styleSpec},n));return kn(Gn(n[1]))?r.concat([new it(`${s}[1]`,n[1],\"expressions are not allowed in function stops.\")]):r.concat(t.validateSpec({key:`${s}[1]`,value:n[1],valueSpec:e,validateSpec:t.validateSpec,style:t.style,styleSpec:t.styleSpec}))}function f(t,a){const s=dn(t.value),l=Hn(t.value),c=null!==t.value?t.value:a;if(n){if(s!==n)return[new it(t.key,c,`${s} stop domain type must match previous stop domain type ${n}`)]}else n=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return[new it(t.key,c,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==r){let n=`number expected, ${s} found`;return hn(e)&&void 0===r&&(n+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new it(t.key,c,n)]}return\"categorical\"!==r||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==r&&\"number\"===s&&void 0!==i&&lnew it(`${t.key}${e.key}`,t.value,e.message)));const r=e.value.expression||e.value._styleExpression.expression;if(\"property\"===t.expressionContext&&\"text-font\"===t.propertyKey&&!r.outputDefined())return[new it(t.key,t.value,`Invalid data expression for \"${t.propertyKey}\". Output values must be contained as literals within the expression.`)];if(\"property\"===t.expressionContext&&\"layout\"===t.propertyType&&!sn(r))return[new it(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!sn(r))return[new it(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!ln(r,[\"zoom\",\"feature-state\"]))return[new it(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!on(r))return[new it(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function Jn(t){const e=t.key,r=t.value,n=t.valueSpec,i=[];return Array.isArray(n.values)?-1===n.values.indexOf(Hn(r))&&i.push(new it(e,r,`expected one of [${n.values.join(\", \")}], 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Presentation Forms-A\"](t)||zi[\"Arabic Presentation Forms-B\"](t)}function Ui(t,e){return!(!e&&ji(t)||t>=2304&&t<=3583||t>=3840&&t<=4255||zi.Khmer(t))}function Vi(t){for(const e of t)if(ji(e.charCodeAt(0)))return!0;return!1}const qi=new class{constructor(){this.applyArabicShaping=null,this.processBidirectionalText=null,this.processStyledBidirectionalText=null,this.pluginStatus=\"unavailable\",this.pluginURL=null}setState(t){this.pluginStatus=t.pluginStatus,this.pluginURL=t.pluginURL}getState(){return{pluginStatus:this.pluginStatus,pluginURL:this.pluginURL}}setMethods(t){this.applyArabicShaping=t.applyArabicShaping,this.processBidirectionalText=t.processBidirectionalText,this.processStyledBidirectionalText=t.processStyledBidirectionalText}isParsed(){return null!=this.applyArabicShaping&&null!=this.processBidirectionalText&&null!=this.processStyledBidirectionalText}getPluginURL(){return this.pluginURL}getRTLTextPluginStatus(){return this.pluginStatus}};class Hi{constructor(t,e){this.zoom=t,e?(this.now=e.now,this.fadeDuration=e.fadeDuration,this.zoomHistory=e.zoomHistory,this.transition=e.transition):(this.now=0,this.fadeDuration=0,this.zoomHistory=new Pi,this.transition={})}isSupportedScript(t){return function(t,e){for(const r of t)if(!Ui(r.charCodeAt(0),e))return!1;return!0}(t,\"loaded\"===qi.getRTLTextPluginStatus())}crossFadingFactor(){return 0===this.fadeDuration?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)}getCrossfadeParameters(){const t=this.zoom,e=t-Math.floor(t),r=this.crossFadingFactor();return t>this.zoomHistory.lastIntegerZoom?{fromScale:2,toScale:1,t:e+(1-e)*r}:{fromScale:.5,toScale:1,t:1-(1-r)*e}}}class Gi{constructor(t,e){this.property=t,this.value=e,this.expression=function(t,e){if(mn(t))return new Cn(t,e);if(kn(t)){const r=En(t,e);if(\"error\"===r.result)throw new Error(r.value.map((t=>`${t.key}: ${t.message}`)).join(\", \"));return r.value}{let r=t;return\"color\"===e.type&&\"string\"==typeof t?r=Xt.parse(t):\"padding\"!==e.type||\"number\"!=typeof t&&!Array.isArray(t)?\"variableAnchorOffsetCollection\"===e.type&&Array.isArray(t)&&(r=ee.parse(t)):r=Qt.parse(t),{kind:\"constant\",evaluate:()=>r}}}(void 0===e?t.specification.default:e,t.specification)}isDataDriven(){return\"source\"===this.expression.kind||\"composite\"===this.expression.kind}possiblyEvaluate(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)}}class Zi{constructor(t){this.property=t,this.value=new Gi(t,void 0)}transitioned(t,e){return new Yi(this.property,this.value,e,y({},t.transition,this.transition),t.now)}untransitioned(){return new Yi(this.property,this.value,null,{},0)}}class Wi{constructor(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)}getValue(t){return b(this._values[t].value.value)}setValue(t,e){Object.prototype.hasOwnProperty.call(this._values,t)||(this._values[t]=new Zi(this._values[t].property)),this._values[t].value=new Gi(this._values[t].property,null===e?void 0:b(e))}getTransition(t){return b(this._values[t].transition)}setTransition(t,e){Object.prototype.hasOwnProperty.call(this._values,t)||(this._values[t]=new Zi(this._values[t].property)),this._values[t].transition=b(e)||void 0}serialize(){const t={};for(const e of Object.keys(this._values)){const r=this.getValue(e);void 0!==r&&(t[e]=r);const n=this.getTransition(e);void 0!==n&&(t[`${e}-transition`]=n)}return t}transitioned(t,e){const r=new Xi(this._properties);for(const n of Object.keys(this._values))r._values[n]=this._values[n].transitioned(t,e._values[n]);return r}untransitioned(){const t=new Xi(this._properties);for(const e of Object.keys(this._values))t._values[e]=this._values[e].untransitioned();return t}}class Yi{constructor(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)}possiblyEvaluate(t,e,r){const 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=1)return 1;const e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}}return i}}class Xi{constructor(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)}possiblyEvaluate(t,e,r){const n=new Ki(this._properties);for(const i of Object.keys(this._values))n._values[i]=this._values[i].possiblyEvaluate(t,e,r);return n}hasTransition(){for(const t of Object.keys(this._values))if(this._values[t].prior)return!0;return!1}}class $i{constructor(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)}hasValue(t){return void 0!==this._values[t].value}getValue(t){return b(this._values[t].value)}setValue(t,e){this._values[t]=new Gi(this._values[t].property,null===e?void 0:b(e))}serialize(){const t={};for(const e of Object.keys(this._values)){const r=this.getValue(e);void 0!==r&&(t[e]=r)}return t}possiblyEvaluate(t,e,r){const n=new Ki(this._properties);for(const i of Object.keys(this._values))n._values[i]=this._values[i].possiblyEvaluate(t,e,r);return n}}class Ji{constructor(t,e,r){this.property=t,this.value=e,this.parameters=r}isConstant(){return\"constant\"===this.value.kind}constantOr(t){return\"constant\"===this.value.kind?this.value.value:t}evaluate(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)}}class Ki{constructor(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)}get(t){return this._values[t]}}class Qi{constructor(t){this.specification=t}possiblyEvaluate(t,e){if(t.isDataDriven())throw new Error(\"Value should not be data driven\");return t.expression.evaluate(e)}interpolate(t,e,r){const n=this.specification.type,i=Pe[n];return i?i(t,e,r):t}}class ta{constructor(t,e){this.specification=t,this.overrides=e}possiblyEvaluate(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new Ji(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new Ji(this,t.expression,e)}interpolate(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 Ji(this,{kind:\"constant\",value:void 0},t.parameters);const n=this.specification.type,i=Pe[n];if(i){const n=i(t.value.value,e.value.value,r);return new Ji(this,{kind:\"constant\",value:n},t.parameters)}return t}evaluate(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)}}class ea extends ta{possiblyEvaluate(t,e,r,n){if(void 0===t.value)return new Ji(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){const 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 Ji(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){const r=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 Ji(this,{kind:\"constant\",value:r},e)}return new Ji(this,t.expression,e)}evaluate(t,e,r,n,i,a){if(\"source\"===t.kind){const 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}_calculate(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}}interpolate(t){return t}}class ra{constructor(t){this.specification=t}possiblyEvaluate(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){const i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new Hi(Math.floor(e.zoom-1),e)),t.expression.evaluate(new Hi(Math.floor(e.zoom),e)),t.expression.evaluate(new Hi(Math.floor(e.zoom+1),e)),e)}}_calculate(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}}interpolate(t){return t}}class na{constructor(t){this.specification=t}possiblyEvaluate(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)}interpolate(){return!1}}class ia{constructor(t){this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[];for(const e in t){const r=t[e];r.specification.overridable&&this.overridableProperties.push(e);const n=this.defaultPropertyValues[e]=new Gi(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new Zi(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}}}Mi(\"DataDrivenProperty\",ta),Mi(\"DataConstantProperty\",Qi),Mi(\"CrossFadedDataDrivenProperty\",ea),Mi(\"CrossFadedProperty\",ra),Mi(\"ColorRampProperty\",na);const aa=\"-transition\";class oa extends G{constructor(t,e){if(super(),this.id=t.id,this.type=t.type,this._featureFilter={filter:()=>!0,needGeometry:!1},\"custom\"!==t.type&&(this.metadata=t.metadata,this.minzoom=t.minzoom,this.maxzoom=t.maxzoom,\"background\"!==t.type&&(this.source=t.source,this.sourceLayer=t[\"source-layer\"],this.filter=t.filter),e.layout&&(this._unevaluatedLayout=new $i(e.layout)),e.paint)){this._transitionablePaint=new Wi(e.paint);for(const e in t.paint)this.setPaintProperty(e,t.paint[e],{validate:!1});for(const e in t.layout)this.setLayoutProperty(e,t.layout[e],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new Ki(e.paint)}}getCrossfadeParameters(){return this._crossfadeParameters}getLayoutProperty(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)}setLayoutProperty(t,e,r={}){if(null!=e){const n=`layers.${this.id}.layout.${t}`;if(this._validate(wi,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e}getPaintProperty(t){return t.endsWith(aa)?this._transitionablePaint.getTransition(t.slice(0,-11)):this._transitionablePaint.getValue(t)}setPaintProperty(t,e,r={}){if(null!=e){const n=`layers.${this.id}.paint.${t}`;if(this._validate(bi,n,t,e,r))return!1}if(t.endsWith(aa))return this._transitionablePaint.setTransition(t.slice(0,-11),e||void 0),!1;{const r=this._transitionablePaint._values[t],n=\"cross-faded-data-driven\"===r.property.specification[\"property-type\"],i=r.value.isDataDriven(),a=r.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);const o=this._transitionablePaint._values[t].value;return o.isDataDriven()||i||n||this._handleOverridablePaintPropertyUpdate(t,a,o)}}_handleSpecialPaintPropertyUpdate(t){}_handleOverridablePaintPropertyUpdate(t,e,r){return!1}isHidden(t){return!!(this.minzoom&&t=this.maxzoom)||\"none\"===this.visibility}updateTransitions(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)}hasTransition(){return this._transitioningPaint.hasTransition()}recalculate(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)}serialize(){const 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),_(t,((t,e)=>!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)))}_validate(t,e,r,n,i={}){return(!i||!1!==i.validate)&&Ti(this,t.call(vi,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Z,style:{glyphs:!0,sprite:!0}}))}is3D(){return!1}isTileClipped(){return!1}hasOffscreenPass(){return!1}resize(){}isStateDependent(){for(const t in this.paint._values){const e=this.paint.get(t);if(e instanceof Ji&&hn(e.property.specification)&&(\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent)return!0}return!1}}const sa={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array};class la{constructor(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}}class ca{constructor(){this.isTransferred=!1,this.capacity=-1,this.resize(0)}static serialize(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}}static deserialize(t){const e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e}_trim(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())}clear(){this.length=0}resize(t){this.reserve(t),this.length=t}reserve(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);const e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}}_refreshViews(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")}}function ua(t,e=1){let r=0,n=0;return{members:t.map((t=>{const i=(s=t.type,sa[s].BYTES_PER_ELEMENT),a=r=ha(r,Math.max(e,i)),o=t.components||1;var s;return n=Math.max(n,i),r+=i*o,{name:t.name,type:t.type,components:o,offset:a}})),size:ha(r,Math.max(n,e)),alignment:e}}function ha(t,e){return Math.ceil(t/e)*e}class fa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e){const r=this.length;return this.resize(r+1),this.emplace(r,t,e)}emplace(t,e,r){const n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t}}fa.prototype.bytesPerElement=4,Mi(\"StructArrayLayout2i4\",fa);class pa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e,r){const n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)}emplace(t,e,r,n){const i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t}}pa.prototype.bytesPerElement=6,Mi(\"StructArrayLayout3i6\",pa);class da extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e,r,n){const i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)}emplace(t,e,r,n,i){const a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t}}da.prototype.bytesPerElement=8,Mi(\"StructArrayLayout4i8\",da);class ma extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a){const o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)}emplace(t,e,r,n,i,a,o){const 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}}ma.prototype.bytesPerElement=12,Mi(\"StructArrayLayout2i4i12\",ma);class ga extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a){const o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)}emplace(t,e,r,n,i,a,o){const 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}}ga.prototype.bytesPerElement=8,Mi(\"StructArrayLayout2i4ub8\",ga);class ya extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(t,e){const r=this.length;return this.resize(r+1),this.emplace(r,t,e)}emplace(t,e,r){const n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t}}ya.prototype.bytesPerElement=8,Mi(\"StructArrayLayout2f8\",ya);class va extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a,o,s,l,c){const u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l,c)}emplace(t,e,r,n,i,a,o,s,l,c,u){const h=10*t;return this.uint16[h+0]=e,this.uint16[h+1]=r,this.uint16[h+2]=n,this.uint16[h+3]=i,this.uint16[h+4]=a,this.uint16[h+5]=o,this.uint16[h+6]=s,this.uint16[h+7]=l,this.uint16[h+8]=c,this.uint16[h+9]=u,t}}va.prototype.bytesPerElement=20,Mi(\"StructArrayLayout10ui20\",va);class xa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a,o,s,l,c,u,h){const f=this.length;return this.resize(f+1),this.emplace(f,t,e,r,n,i,a,o,s,l,c,u,h)}emplace(t,e,r,n,i,a,o,s,l,c,u,h,f){const 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]=c,this.int16[p+9]=u,this.int16[p+10]=h,this.int16[p+11]=f,t}}xa.prototype.bytesPerElement=24,Mi(\"StructArrayLayout4i4ui4i24\",xa);class _a extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(t,e,r){const n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)}emplace(t,e,r,n){const i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t}}_a.prototype.bytesPerElement=12,Mi(\"StructArrayLayout3f12\",_a);class ba extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)}emplaceBack(t){const e=this.length;return this.resize(e+1),this.emplace(e,t)}emplace(t,e){const r=1*t;return this.uint32[r+0]=e,t}}ba.prototype.bytesPerElement=4,Mi(\"StructArrayLayout1ul4\",ba);class wa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a,o,s,l){const c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l)}emplace(t,e,r,n,i,a,o,s,l,c){const u=10*t,h=5*t;return this.int16[u+0]=e,this.int16[u+1]=r,this.int16[u+2]=n,this.int16[u+3]=i,this.int16[u+4]=a,this.int16[u+5]=o,this.uint32[h+3]=s,this.uint16[u+8]=l,this.uint16[u+9]=c,t}}wa.prototype.bytesPerElement=20,Mi(\"StructArrayLayout6i1ul2ui20\",wa);class Ta extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a){const o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)}emplace(t,e,r,n,i,a,o){const 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}}Ta.prototype.bytesPerElement=12,Mi(\"StructArrayLayout2i2i2i12\",Ta);class ka extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i){const a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)}emplace(t,e,r,n,i,a){const 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}}ka.prototype.bytesPerElement=16,Mi(\"StructArrayLayout2f1f2i16\",ka);class Aa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a){const o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)}emplace(t,e,r,n,i,a,o){const s=16*t,l=4*t,c=8*t;return this.uint8[s+0]=e,this.uint8[s+1]=r,this.float32[l+1]=n,this.float32[l+2]=i,this.int16[c+6]=a,this.int16[c+7]=o,t}}Aa.prototype.bytesPerElement=16,Mi(\"StructArrayLayout2ub2f2i16\",Aa);class Ma extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(t,e,r){const n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)}emplace(t,e,r,n){const i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t}}Ma.prototype.bytesPerElement=6,Mi(\"StructArrayLayout3ui6\",Ma);class Sa extends ca{_refreshViews(){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)}emplaceBack(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g){const y=this.length;return this.resize(y+1),this.emplace(y,t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g)}emplace(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y){const v=24*t,x=12*t,_=48*t;return this.int16[v+0]=e,this.int16[v+1]=r,this.uint16[v+2]=n,this.uint16[v+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[v+10]=l,this.uint16[v+11]=c,this.uint16[v+12]=u,this.float32[x+7]=h,this.float32[x+8]=f,this.uint8[_+36]=p,this.uint8[_+37]=d,this.uint8[_+38]=m,this.uint32[x+10]=g,this.int16[v+22]=y,t}}Sa.prototype.bytesPerElement=48,Mi(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",Sa);class Ea extends ca{_refreshViews(){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)}emplaceBack(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y,v,x,_,b,w,T,k,A,M,S){const E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y,v,x,_,b,w,T,k,A,M,S)}emplace(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y,v,x,_,b,w,T,k,A,M,S,E){const C=32*t,L=16*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.int16[C+6]=s,this.int16[C+7]=l,this.uint16[C+8]=c,this.uint16[C+9]=u,this.uint16[C+10]=h,this.uint16[C+11]=f,this.uint16[C+12]=p,this.uint16[C+13]=d,this.uint16[C+14]=m,this.uint16[C+15]=g,this.uint16[C+16]=y,this.uint16[C+17]=v,this.uint16[C+18]=x,this.uint16[C+19]=_,this.uint16[C+20]=b,this.uint16[C+21]=w,this.uint16[C+22]=T,this.uint32[L+12]=k,this.float32[L+13]=A,this.float32[L+14]=M,this.uint16[C+30]=S,this.uint16[C+31]=E,t}}Ea.prototype.bytesPerElement=64,Mi(\"StructArrayLayout8i15ui1ul2f2ui64\",Ea);class Ca extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(t){const e=this.length;return this.resize(e+1),this.emplace(e,t)}emplace(t,e){const r=1*t;return this.float32[r+0]=e,t}}Ca.prototype.bytesPerElement=4,Mi(\"StructArrayLayout1f4\",Ca);class La extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(t,e,r){const n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)}emplace(t,e,r,n){const i=6*t,a=3*t;return this.uint16[i+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,t}}La.prototype.bytesPerElement=12,Mi(\"StructArrayLayout1ui2f12\",La);class Ia extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(t,e,r){const n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)}emplace(t,e,r,n){const i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t}}Ia.prototype.bytesPerElement=8,Mi(\"StructArrayLayout1ul2ui8\",Ia);class Pa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(t,e){const r=this.length;return this.resize(r+1),this.emplace(r,t,e)}emplace(t,e,r){const n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t}}Pa.prototype.bytesPerElement=4,Mi(\"StructArrayLayout2ui4\",Pa);class za extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(t){const e=this.length;return this.resize(e+1),this.emplace(e,t)}emplace(t,e){const r=1*t;return this.uint16[r+0]=e,t}}za.prototype.bytesPerElement=2,Mi(\"StructArrayLayout1ui2\",za);class Oa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(t,e,r,n){const i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)}emplace(t,e,r,n,i){const a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t}}Oa.prototype.bytesPerElement=16,Mi(\"StructArrayLayout4f16\",Oa);class Da extends la{get anchorPointX(){return this._structArray.int16[this._pos2+0]}get anchorPointY(){return this._structArray.int16[this._pos2+1]}get x1(){return this._structArray.int16[this._pos2+2]}get y1(){return this._structArray.int16[this._pos2+3]}get x2(){return this._structArray.int16[this._pos2+4]}get y2(){return this._structArray.int16[this._pos2+5]}get featureIndex(){return this._structArray.uint32[this._pos4+3]}get sourceLayerIndex(){return this._structArray.uint16[this._pos2+8]}get bucketIndex(){return this._structArray.uint16[this._pos2+9]}get anchorPoint(){return new a(this.anchorPointX,this.anchorPointY)}}Da.prototype.size=20;class Ra extends wa{get(t){return new Da(this,t)}}Mi(\"CollisionBoxArray\",Ra);class Fa extends la{get anchorX(){return this._structArray.int16[this._pos2+0]}get anchorY(){return this._structArray.int16[this._pos2+1]}get glyphStartIndex(){return this._structArray.uint16[this._pos2+2]}get numGlyphs(){return this._structArray.uint16[this._pos2+3]}get vertexStartIndex(){return this._structArray.uint32[this._pos4+2]}get lineStartIndex(){return this._structArray.uint32[this._pos4+3]}get lineLength(){return this._structArray.uint32[this._pos4+4]}get segment(){return this._structArray.uint16[this._pos2+10]}get lowerSize(){return this._structArray.uint16[this._pos2+11]}get upperSize(){return this._structArray.uint16[this._pos2+12]}get lineOffsetX(){return this._structArray.float32[this._pos4+7]}get lineOffsetY(){return this._structArray.float32[this._pos4+8]}get writingMode(){return this._structArray.uint8[this._pos1+36]}get placedOrientation(){return this._structArray.uint8[this._pos1+37]}set placedOrientation(t){this._structArray.uint8[this._pos1+37]=t}get hidden(){return this._structArray.uint8[this._pos1+38]}set hidden(t){this._structArray.uint8[this._pos1+38]=t}get crossTileID(){return this._structArray.uint32[this._pos4+10]}set crossTileID(t){this._structArray.uint32[this._pos4+10]=t}get associatedIconIndex(){return this._structArray.int16[this._pos2+22]}}Fa.prototype.size=48;class Ba extends Sa{get(t){return new Fa(this,t)}}Mi(\"PlacedSymbolArray\",Ba);class Na extends la{get anchorX(){return this._structArray.int16[this._pos2+0]}get anchorY(){return this._structArray.int16[this._pos2+1]}get rightJustifiedTextSymbolIndex(){return this._structArray.int16[this._pos2+2]}get centerJustifiedTextSymbolIndex(){return this._structArray.int16[this._pos2+3]}get leftJustifiedTextSymbolIndex(){return this._structArray.int16[this._pos2+4]}get verticalPlacedTextSymbolIndex(){return this._structArray.int16[this._pos2+5]}get placedIconSymbolIndex(){return this._structArray.int16[this._pos2+6]}get verticalPlacedIconSymbolIndex(){return this._structArray.int16[this._pos2+7]}get key(){return this._structArray.uint16[this._pos2+8]}get textBoxStartIndex(){return this._structArray.uint16[this._pos2+9]}get textBoxEndIndex(){return this._structArray.uint16[this._pos2+10]}get verticalTextBoxStartIndex(){return this._structArray.uint16[this._pos2+11]}get verticalTextBoxEndIndex(){return this._structArray.uint16[this._pos2+12]}get iconBoxStartIndex(){return this._structArray.uint16[this._pos2+13]}get iconBoxEndIndex(){return this._structArray.uint16[this._pos2+14]}get verticalIconBoxStartIndex(){return this._structArray.uint16[this._pos2+15]}get verticalIconBoxEndIndex(){return this._structArray.uint16[this._pos2+16]}get featureIndex(){return this._structArray.uint16[this._pos2+17]}get numHorizontalGlyphVertices(){return this._structArray.uint16[this._pos2+18]}get numVerticalGlyphVertices(){return this._structArray.uint16[this._pos2+19]}get numIconVertices(){return this._structArray.uint16[this._pos2+20]}get numVerticalIconVertices(){return this._structArray.uint16[this._pos2+21]}get useRuntimeCollisionCircles(){return this._structArray.uint16[this._pos2+22]}get crossTileID(){return this._structArray.uint32[this._pos4+12]}set crossTileID(t){this._structArray.uint32[this._pos4+12]=t}get textBoxScale(){return this._structArray.float32[this._pos4+13]}get collisionCircleDiameter(){return this._structArray.float32[this._pos4+14]}get textAnchorOffsetStartIndex(){return this._structArray.uint16[this._pos2+30]}get textAnchorOffsetEndIndex(){return this._structArray.uint16[this._pos2+31]}}Na.prototype.size=64;class ja extends Ea{get(t){return new Na(this,t)}}Mi(\"SymbolInstanceArray\",ja);class Ua extends Ca{getoffsetX(t){return this.float32[1*t+0]}}Mi(\"GlyphOffsetArray\",Ua);class Va extends pa{getx(t){return this.int16[3*t+0]}gety(t){return this.int16[3*t+1]}gettileUnitDistanceFromAnchor(t){return this.int16[3*t+2]}}Mi(\"SymbolLineVertexArray\",Va);class qa extends la{get textAnchor(){return this._structArray.uint16[this._pos2+0]}get textOffset0(){return this._structArray.float32[this._pos4+1]}get textOffset1(){return this._structArray.float32[this._pos4+2]}}qa.prototype.size=12;class Ha extends La{get(t){return new qa(this,t)}}Mi(\"TextAnchorOffsetArray\",Ha);class Ga extends la{get featureIndex(){return this._structArray.uint32[this._pos4+0]}get sourceLayerIndex(){return this._structArray.uint16[this._pos2+2]}get bucketIndex(){return this._structArray.uint16[this._pos2+3]}}Ga.prototype.size=8;class Za extends Ia{get(t){return new Ga(this,t)}}Mi(\"FeatureIndexArray\",Za);class Wa extends fa{}class Ya extends fa{}class Xa extends fa{}class $a extends ma{}class Ja extends ga{}class Ka extends ya{}class Qa extends va{}class to extends xa{}class eo extends _a{}class ro extends ba{}class no extends Ta{}class io extends Aa{}class ao extends Ma{}class oo extends Pa{}const so=ua([{name:\"a_pos\",components:2,type:\"Int16\"}],4),{members:lo,size:co,alignment:uo}=so;class ho{constructor(t=[]){this.segments=t}prepareSegment(t,e,r,n){let i=this.segments[this.segments.length-1];return t>ho.MAX_VERTEX_ARRAY_LENGTH&&T(`Max vertices per segment is ${ho.MAX_VERTEX_ARRAY_LENGTH}: bucket requested ${t}`),(!i||i.vertexLength+t>ho.MAX_VERTEX_ARRAY_LENGTH||i.sortKey!==n)&&(i={vertexOffset:e.length,primitiveOffset:r.length,vertexLength:0,primitiveLength:0},void 0!==n&&(i.sortKey=n),this.segments.push(i)),i}get(){return this.segments}destroy(){for(const t of this.segments)for(const e in t.vaos)t.vaos[e].destroy()}static simpleSegment(t,e,r,n){return new ho([{vertexOffset:t,primitiveOffset:e,vertexLength:r,primitiveLength:n,vaos:{},sortKey:0}])}}function fo(t,e){return 256*(t=m(Math.floor(t),0,255))+m(Math.floor(e),0,255)}ho.MAX_VERTEX_ARRAY_LENGTH=Math.pow(2,16)-1,Mi(\"SegmentVector\",ho);const po=ua([{name:\"a_pattern_from\",components:4,type:\"Uint16\"},{name:\"a_pattern_to\",components:4,type:\"Uint16\"},{name:\"a_pixel_ratio_from\",components:1,type:\"Uint16\"},{name:\"a_pixel_ratio_to\",components:1,type:\"Uint16\"}]);var mo={exports:{}},go={exports:{}};!function(t){t.exports=function(t,e){var r,n,i,a,o,s,l,c;for(r=3&t.length,n=t.length-r,i=e,o=3432918353,s=461845907,c=0;c>>16)*o&65535)<<16)&4294967295)<<15|l>>>17))*s+(((l>>>16)*s&65535)<<16)&4294967295)<<13|i>>>19))+((5*(i>>>16)&65535)<<16)&4294967295))+((58964+(a>>>16)&65535)<<16);switch(l=0,r){case 3:l^=(255&t.charCodeAt(c+2))<<16;case 2:l^=(255&t.charCodeAt(c+1))<<8;case 1:i^=l=(65535&(l=(l=(65535&(l^=255&t.charCodeAt(c)))*o+(((l>>>16)*o&65535)<<16)&4294967295)<<15|l>>>17))*s+(((l>>>16)*s&65535)<<16)&4294967295}return i^=t.length,i=2246822507*(65535&(i^=i>>>16))+((2246822507*(i>>>16)&65535)<<16)&4294967295,i=3266489909*(65535&(i^=i>>>13))+((3266489909*(i>>>16)&65535)<<16)&4294967295,(i^=i>>>16)>>>0}}(go);var yo=go.exports,vo={exports:{}};!function(t){t.exports=function(t,e){for(var r,n=t.length,i=e^n,a=0;n>=4;)r=1540483477*(65535&(r=255&t.charCodeAt(a)|(255&t.charCodeAt(++a))<<8|(255&t.charCodeAt(++a))<<16|(255&t.charCodeAt(++a))<<24))+((1540483477*(r>>>16)&65535)<<16),i=1540483477*(65535&i)+((1540483477*(i>>>16)&65535)<<16)^(r=1540483477*(65535&(r^=r>>>24))+((1540483477*(r>>>16)&65535)<<16)),n-=4,++a;switch(n){case 3:i^=(255&t.charCodeAt(a+2))<<16;case 2:i^=(255&t.charCodeAt(a+1))<<8;case 1:i=1540483477*(65535&(i^=255&t.charCodeAt(a)))+((1540483477*(i>>>16)&65535)<<16)}return i=1540483477*(65535&(i^=i>>>13))+((1540483477*(i>>>16)&65535)<<16),(i^=i>>>15)>>>0}}(vo);var xo=yo,_o=vo.exports;mo.exports=xo,mo.exports.murmur3=xo,mo.exports.murmur2=_o;var bo=r(mo.exports);class wo{constructor(){this.ids=[],this.positions=[],this.indexed=!1}add(t,e,r,n){this.ids.push(To(t)),this.positions.push(e,r,n)}getPositions(t){if(!this.indexed)throw new Error(\"Trying to get index, but feature positions are not indexed\");const e=To(t);let r=0,n=this.ids.length-1;for(;r>1;this.ids[t]>=e?n=t:r=t+1}const i=[];for(;this.ids[r]===e;){const t=this.positions[3*r],e=this.positions[3*r+1],n=this.positions[3*r+2];i.push({index:t,start:e,end:n}),r++}return i}static serialize(t,e){const r=new Float64Array(t.ids),n=new Uint32Array(t.positions);return ko(r,n,0,r.length-1),e&&e.push(r.buffer,n.buffer),{ids:r,positions:n}}static deserialize(t){const e=new wo;return e.ids=t.ids,e.positions=t.positions,e.indexed=!0,e}}function To(t){const e=+t;return!isNaN(e)&&e<=Number.MAX_SAFE_INTEGER?e:bo(String(t))}function ko(t,e,r,n){for(;r>1];let a=r-1,o=n+1;for(;;){do{a++}while(t[a]i);if(a>=o)break;Ao(t,a,o),Ao(e,3*a,3*o),Ao(e,3*a+1,3*o+1),Ao(e,3*a+2,3*o+2)}o-r`u_${t}`)),this.type=r}setUniform(t,e,r){t.set(r.constantOr(this.value))}getBinding(t,e,r){return\"color\"===this.type?new Co(t,e):new So(t,e)}}class zo{constructor(t,e){this.uniformNames=e.map((t=>`u_${t}`)),this.patternFrom=null,this.patternTo=null,this.pixelRatioFrom=1,this.pixelRatioTo=1}setConstantPatternPositions(t,e){this.pixelRatioFrom=e.pixelRatio,this.pixelRatioTo=t.pixelRatio,this.patternFrom=e.tlbr,this.patternTo=t.tlbr}setUniform(t,e,r,n){const i=\"u_pattern_to\"===n?this.patternTo:\"u_pattern_from\"===n?this.patternFrom:\"u_pixel_ratio_to\"===n?this.pixelRatioTo:\"u_pixel_ratio_from\"===n?this.pixelRatioFrom:null;i&&t.set(i)}getBinding(t,e,r){return\"u_pattern\"===r.substr(0,9)?new Eo(t,e):new So(t,e)}}class Oo{constructor(t,e,r,n){this.expression=t,this.type=r,this.maxValue=0,this.paintVertexAttributes=e.map((t=>({name:`a_${t}`,type:\"Float32\",components:\"color\"===r?2:1,offset:0}))),this.paintVertexArray=new n}populatePaintArray(t,e,r,n,i){const a=this.paintVertexArray.length,o=this.expression.evaluate(new Hi(0),e,{},n,[],i);this.paintVertexArray.resize(t),this._setPaintValue(a,t,o)}updatePaintArray(t,e,r,n){const i=this.expression.evaluate({zoom:0},r,n);this._setPaintValue(t,e,i)}_setPaintValue(t,e,r){if(\"color\"===this.type){const n=Io(r);for(let r=t;r`u_${t}_t`)),this.type=r,this.useIntegerZoom=n,this.zoom=i,this.maxValue=0,this.paintVertexAttributes=e.map((t=>({name:`a_${t}`,type:\"Float32\",components:\"color\"===r?4:2,offset:0}))),this.paintVertexArray=new a}populatePaintArray(t,e,r,n,i){const a=this.expression.evaluate(new Hi(this.zoom),e,{},n,[],i),o=this.expression.evaluate(new Hi(this.zoom+1),e,{},n,[],i),s=this.paintVertexArray.length;this.paintVertexArray.resize(t),this._setPaintValue(s,t,a,o)}updatePaintArray(t,e,r,n){const 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)}_setPaintValue(t,e,r,n){if(\"color\"===this.type){const i=Io(r),a=Io(n);for(let r=t;r`#define HAS_UNIFORM_${t}`)))}return t}getBinderAttributes(){const t=[];for(const e in this.binders){const r=this.binders[e];if(r instanceof Oo||r instanceof Do)for(let e=0;e!0)){this.programConfigurations={};for(const n of t)this.programConfigurations[n.id]=new Fo(n,e,r);this.needsUpload=!1,this._featureMap=new wo,this._bufferOffset=0}populatePaintArrays(t,e,r,n,i,a){for(const r in this.programConfigurations)this.programConfigurations[r].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}updatePaintArrays(t,e,r,n){for(const i of r)this.needsUpload=this.programConfigurations[i.id].updatePaintArrays(t,this._featureMap,e,i,n)||this.needsUpload}get(t){return this.programConfigurations[t]}upload(t){if(this.needsUpload){for(const e in this.programConfigurations)this.programConfigurations[e].upload(t);this.needsUpload=!1}}destroy(){for(const t in this.programConfigurations)this.programConfigurations[t].destroy()}}function 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ho,this.stateDependentLayerIds=this.layers.filter((t=>t.isStateDependent())).map((t=>t.id))}populate(t,e,r){this.hasPattern=hl(\"fill\",this.layers,e);const n=this.layers[0].layout.get(\"fill-sort-key\"),i=!n.isConstant(),a=[];for(const{feature:o,id:s,index:l,sourceLayerIndex:c}of t){const t=this.layers[0]._featureFilter.needGeometry,u=Go(o,t);if(!this.layers[0]._featureFilter.filter(new Hi(this.zoom),u,r))continue;const h=i?n.evaluate(u,{},r,e.availableImages):void 0,f={id:s,properties:o.properties,type:o.type,sourceLayerIndex:c,index:l,geometry:t?u.geometry:Ho(o),patterns:{},sortKey:h};a.push(f)}i&&a.sort(((t,e)=>t.sortKey-e.sortKey));for(const n of a){const{geometry:i,index:a,sourceLayerIndex:o}=n;if(this.hasPattern){const t=fl(\"fill\",this.layers,n,this.zoom,e);this.patternFeatures.push(t)}else this.addFeature(n,i,a,r,{});const s=t[a].feature;e.featureIndex.insert(s,i,a,o,this.index)}}update(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)}addFeatures(t,e,r){for(const t of this.patternFeatures)this.addFeature(t,t.geometry,t.index,e,r)}isEmpty(){return 0===this.layoutVertexArray.length}uploadPending(){return!this.uploaded||this.programConfigurations.needsUpload}upload(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Fs),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.indexBuffer2=t.createIndexBuffer(this.indexArray2)),this.programConfigurations.upload(t),this.uploaded=!0}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.indexBuffer2.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.segments2.destroy())}addFeature(t,e,r,n,i){for(const t of br(e,500)){let e=0;for(const r of t)e+=r.length;const r=this.segments.prepareSegment(e,this.layoutVertexArray,this.indexArray),n=r.vertexLength,i=[],a=[];for(const e of t){if(0===e.length)continue;e!==t[0]&&a.push(i.length/2);const r=this.segments2.prepareSegment(e.length,this.layoutVertexArray,this.indexArray2),n=r.vertexLength;this.layoutVertexArray.emplaceBack(e[0].x,e[0].y),this.indexArray2.emplaceBack(n+e.length-1,n),i.push(e[0].x),i.push(e[0].y);for(let t=1;t>3}if(i--,1===n||2===n)a+=t.readSVarint(),o+=t.readSVarint(),1===n&&(e&&s.push(e),e=[]),e.push(new kl(a,o));else{if(7!==n)throw new Error(\"unknown command \"+n);e&&e.push(e[0].clone())}}return e&&s.push(e),s},Ml.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,c=-1/0;t.pos>3}if(n--,1===r||2===r)(i+=t.readSVarint())s&&(s=i),(a+=t.readSVarint())c&&(c=a);else if(7!==r)throw new Error(\"unknown command \"+r)}return[o,l,s,c]},Ml.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),c=Ml.types[this.type];function u(t){for(var e=0;e>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))}Il.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 Cl(this._pbf,e,this.extent,this._keys,this._values)};var zl=Ll,Ol=function(t,e){this.layers=t.readFields(Dl,{},e)};function Dl(t,e,r){if(3===t){var n=new zl(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Tl.VectorTile=Ol,Tl.VectorTileFeature=Al,Tl.VectorTileLayer=Ll;const Rl=Tl.VectorTileFeature.types,Fl=Math.pow(2,13);function Bl(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*Fl)+o,i*Fl*2,a*Fl*2,Math.round(s))}class Nl{constructor(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((t=>t.id)),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new $a,this.centroidVertexArray=new Wa,this.indexArray=new ao,this.programConfigurations=new Bo(t.layers,t.zoom),this.segments=new ho,this.stateDependentLayerIds=this.layers.filter((t=>t.isStateDependent())).map((t=>t.id))}populate(t,e,r){this.features=[],this.hasPattern=hl(\"fill-extrusion\",this.layers,e);for(const{feature:n,id:i,index:a,sourceLayerIndex:o}of t){const t=this.layers[0]._featureFilter.needGeometry,s=Go(n,t);if(!this.layers[0]._featureFilter.filter(new Hi(this.zoom),s,r))continue;const l={id:i,sourceLayerIndex:o,index:a,geometry:t?s.geometry:Ho(n),properties:n.properties,type:n.type,patterns:{}};this.hasPattern?this.features.push(fl(\"fill-extrusion\",this.layers,l,this.zoom,e)):this.addFeature(l,l.geometry,a,r,{}),e.featureIndex.insert(n,l.geometry,a,o,this.index,!0)}}addFeatures(t,e,r){for(const t of this.features){const{geometry:n}=t;this.addFeature(t,n,t.index,e,r)}}update(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)}isEmpty(){return 0===this.layoutVertexArray.length&&0===this.centroidVertexArray.length}uploadPending(){return!this.uploaded||this.programConfigurations.needsUpload}upload(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,_l),this.centroidVertexBuffer=t.createVertexBuffer(this.centroidVertexArray,xl.members,!0),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.centroidVertexBuffer.destroy())}addFeature(t,e,r,n,i){for(const r of br(e,500)){const e={x:0,y:0,vertexCount:0};let n=0;for(const t of r)n+=t.length;let i=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray);for(const t of r){if(0===t.length)continue;if(Ul(t))continue;let r=0;for(let n=0;n=1){const o=t[n-1];if(!jl(a,o)){i.vertexLength+4>ho.MAX_VERTEX_ARRAY_LENGTH&&(i=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));const t=a.sub(o)._perp()._unit(),n=o.dist(a);r+n>32768&&(r=0),Bl(this.layoutVertexArray,a.x,a.y,t.x,t.y,0,0,r),Bl(this.layoutVertexArray,a.x,a.y,t.x,t.y,0,1,r),e.x+=2*a.x,e.y+=2*a.y,e.vertexCount+=2,r+=n,Bl(this.layoutVertexArray,o.x,o.y,t.x,t.y,0,0,r),Bl(this.layoutVertexArray,o.x,o.y,t.x,t.y,0,1,r),e.x+=2*o.x,e.y+=2*o.y,e.vertexCount+=2;const s=i.vertexLength;this.indexArray.emplaceBack(s,s+2,s+1),this.indexArray.emplaceBack(s+1,s+2,s+3),i.vertexLength+=4,i.primitiveLength+=2}}}}if(i.vertexLength+n>ho.MAX_VERTEX_ARRAY_LENGTH&&(i=this.segments.prepareSegment(n,this.layoutVertexArray,this.indexArray)),\"Polygon\"!==Rl[t.type])continue;const a=[],o=[],s=i.vertexLength;for(const t of r)if(0!==t.length){t!==r[0]&&o.push(a.length/2);for(let r=0;rUo)||t.y===e.y&&(t.y<0||t.y>Uo)}function Ul(t){return t.every((t=>t.x<0))||t.every((t=>t.x>Uo))||t.every((t=>t.y<0))||t.every((t=>t.y>Uo))}let Vl;Mi(\"FillExtrusionBucket\",Nl,{omit:[\"layers\",\"features\"]});var ql={get paint(){return Vl=Vl||new ia({\"fill-extrusion-opacity\":new Qi(Z[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new ta(Z[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new Qi(Z[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new Qi(Z[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new ea(Z[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new ta(Z[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new ta(Z[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new Qi(Z[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})}};class Hl extends oa{constructor(t){super(t,ql)}createBucket(t){return new Nl(t)}queryRadius(){return os(this.paint.get(\"fill-extrusion-translate\"))}is3D(){return!0}queryIntersectsFeature(t,e,r,n,i,o,s,l){const c=ss(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),u=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),h=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),f=function(t,e,r,n){const i=[];for(const r of t){const t=[r.x,r.y,n,1];vs(t,t,e),i.push(new a(t[0]/t[3],t[1]/t[3]))}return i}(c,l,0,0),p=function(t,e,r,n){const i=[],o=[],s=n[8]*e,l=n[9]*e,c=n[10]*e,u=n[11]*e,h=n[8]*r,f=n[9]*r,p=n[10]*r,d=n[11]*r;for(const e of t){const t=[],r=[];for(const i of e){const e=i.x,o=i.y,m=n[0]*e+n[4]*o+n[12],g=n[1]*e+n[5]*o+n[13],y=n[2]*e+n[6]*o+n[14],v=n[3]*e+n[7]*o+n[15],x=y+c,_=v+u,b=m+h,w=g+f,T=y+p,k=v+d,A=new a((m+s)/_,(g+l)/_);A.z=x/_,t.push(A);const M=new a(b/k,w/k);M.z=T/k,r.push(M)}i.push(t),o.push(r)}return[i,o]}(n,h,u,l);return function(t,e,r){let n=1/0;$o(r,e)&&(n=Zl(r,e[0]));for(let i=0;it.id)),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.lineClipsArray=[],this.gradients={},this.layers.forEach((t=>{this.gradients[t.id]={}})),this.layoutVertexArray=new Ja,this.layoutVertexArray2=new Ka,this.indexArray=new ao,this.programConfigurations=new Bo(t.layers,t.zoom),this.segments=new ho,this.maxLineLength=0,this.stateDependentLayerIds=this.layers.filter((t=>t.isStateDependent())).map((t=>t.id))}populate(t,e,r){this.hasPattern=hl(\"line\",this.layers,e);const n=this.layers[0].layout.get(\"line-sort-key\"),i=!n.isConstant(),a=[];for(const{feature:e,id:o,index:s,sourceLayerIndex:l}of t){const t=this.layers[0]._featureFilter.needGeometry,c=Go(e,t);if(!this.layers[0]._featureFilter.filter(new Hi(this.zoom),c,r))continue;const u=i?n.evaluate(c,{},r):void 0,h={id:o,properties:e.properties,type:e.type,sourceLayerIndex:l,index:s,geometry:t?c.geometry:Ho(e),patterns:{},sortKey:u};a.push(h)}i&&a.sort(((t,e)=>t.sortKey-e.sortKey));for(const n of a){const{geometry:i,index:a,sourceLayerIndex:o}=n;if(this.hasPattern){const t=fl(\"line\",this.layers,n,this.zoom,e);this.patternFeatures.push(t)}else this.addFeature(n,i,a,r,{});const s=t[a].feature;e.featureIndex.insert(s,i,a,o,this.index)}}update(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)}addFeatures(t,e,r){for(const t of this.patternFeatures)this.addFeature(t,t.geometry,t.index,e,r)}isEmpty(){return 0===this.layoutVertexArray.length}uploadPending(){return!this.uploaded||this.programConfigurations.needsUpload}upload(t){this.uploaded||(0!==this.layoutVertexArray2.length&&(this.layoutVertexBuffer2=t.createVertexBuffer(this.layoutVertexArray2,Kl)),this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Yl),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())}lineFeatureClips(t){if(t.properties&&Object.prototype.hasOwnProperty.call(t.properties,\"mapbox_clip_start\")&&Object.prototype.hasOwnProperty.call(t.properties,\"mapbox_clip_end\"))return{start:+t.properties.mapbox_clip_start,end:+t.properties.mapbox_clip_end}}addFeature(t,e,r,n,i){const a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),c=a.get(\"line-round-limit\");this.lineClips=this.lineFeatureClips(t);for(const r of e)this.addLine(r,t,o,s,l,c);this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)}addLine(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,this.lineClips){this.lineClipsArray.push(this.lineClips);for(let e=0;e=2&&t[s-1].equals(t[s-2]);)s--;let l=0;for(;l0;if(b&&e>l){const t=h.dist(f);if(t>2*c){const e=h.sub(h.sub(f)._mult(c/t)._round());this.updateDistance(f,e),this.addCurrentVertex(e,d,0,0,u),f=e}}const T=f&&p;let k=T?r:o?\"butt\":n;if(T&&\"round\"===k&&(xi&&(k=\"bevel\"),\"bevel\"===k&&(x>2&&(k=\"flipbevel\"),x100)g=m.mult(-1);else{const t=x*d.add(m).mag()/d.sub(m).mag();g._perp()._mult(t*(w?-1:1))}this.addCurrentVertex(h,g,0,0,u),this.addCurrentVertex(h,g.mult(-1),0,0,u)}else if(\"bevel\"===k||\"fakeround\"===k){const t=-Math.sqrt(x*x-1),e=w?t:0,r=w?0:t;if(f&&this.addCurrentVertex(h,d,e,r,u),\"fakeround\"===k){const t=Math.round(180*_/Math.PI/20);for(let e=1;e2*c){const e=h.add(p.sub(h)._mult(c/t)._round());this.updateDistance(h,e),this.addCurrentVertex(e,m,0,0,u),h=e}}}}addCurrentVertex(t,e,r,n,i,a=!1){const o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,c=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,c,a,!0,-n,i),this.distance>nc/2&&0===this.totalDistance&&(this.distance=0,this.updateScaledDistance(),this.addCurrentVertex(t,e,r,n,i,a))}addHalfVertex({x:t,y:e},r,n,i,a,o,s){const l=.5*(this.lineClips?this.scaledDistance*(nc-1):this.scaledDistance);if(this.layoutVertexArray.emplaceBack((t<<1)+(i?1:0),(e<<1)+(a?1:0),Math.round(63*r)+128,Math.round(63*n)+128,1+(0===o?0:o<0?-1:1)|(63&l)<<2,l>>6),this.lineClips){const t=(this.scaledDistance-this.lineClips.start)/(this.lineClips.end-this.lineClips.start);this.layoutVertexArray2.emplaceBack(t,this.lineClipsArray.length)}const c=s.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,c),s.primitiveLength++),a?this.e2=c:this.e1=c}updateScaledDistance(){this.scaledDistance=this.lineClips?this.lineClips.start+(this.lineClips.end-this.lineClips.start)*this.distance/this.totalDistance:this.distance}updateDistance(t,e){this.distance+=t.dist(e),this.updateScaledDistance()}}let ac;Mi(\"LineBucket\",ic,{omit:[\"layers\",\"patternFeatures\"]});let oc;var sc={get paint(){return oc=oc||new ia({\"line-opacity\":new ta(Z.paint_line[\"line-opacity\"]),\"line-color\":new ta(Z.paint_line[\"line-color\"]),\"line-translate\":new Qi(Z.paint_line[\"line-translate\"]),\"line-translate-anchor\":new Qi(Z.paint_line[\"line-translate-anchor\"]),\"line-width\":new ta(Z.paint_line[\"line-width\"]),\"line-gap-width\":new ta(Z.paint_line[\"line-gap-width\"]),\"line-offset\":new ta(Z.paint_line[\"line-offset\"]),\"line-blur\":new ta(Z.paint_line[\"line-blur\"]),\"line-dasharray\":new ra(Z.paint_line[\"line-dasharray\"]),\"line-pattern\":new ea(Z.paint_line[\"line-pattern\"]),\"line-gradient\":new na(Z.paint_line[\"line-gradient\"])})},get layout(){return ac=ac||new ia({\"line-cap\":new Qi(Z.layout_line[\"line-cap\"]),\"line-join\":new ta(Z.layout_line[\"line-join\"]),\"line-miter-limit\":new Qi(Z.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new Qi(Z.layout_line[\"line-round-limit\"]),\"line-sort-key\":new ta(Z.layout_line[\"line-sort-key\"])})}};class lc extends ta{possiblyEvaluate(t,e){return e=new Hi(Math.floor(e.zoom),{now:e.now,fadeDuration:e.fadeDuration,zoomHistory:e.zoomHistory,transition:e.transition}),super.possiblyEvaluate(t,e)}evaluate(t,e,r,n){return e=y({},e,{zoom:Math.floor(e.zoom)}),super.evaluate(t,e,r,n)}}let cc;class uc extends oa{constructor(t){super(t,sc),this.gradientVersion=0,cc||(cc=new lc(sc.paint.properties[\"line-width\"].specification),cc.useIntegerZoom=!0)}_handleSpecialPaintPropertyUpdate(t){if(\"line-gradient\"===t){const t=this.gradientExpression();!function(t){return void 0!==t._styleExpression}(t)?this.stepInterpolant=!1:this.stepInterpolant=t._styleExpression.expression instanceof Ae,this.gradientVersion=(this.gradientVersion+1)%Number.MAX_SAFE_INTEGER}}gradientExpression(){return this._transitionablePaint._values[\"line-gradient\"].value.expression}recalculate(t,e){super.recalculate(t,e),this.paint._values[\"line-floorwidth\"]=cc.possiblyEvaluate(this._transitioningPaint._values[\"line-width\"].value,t)}createBucket(t){return new ic(t)}queryRadius(t){const e=t,r=hc(as(\"line-width\",this,e),as(\"line-gap-width\",this,e)),n=as(\"line-offset\",this,e);return r/2+Math.abs(n)+os(this.paint.get(\"line-translate\"))}queryIntersectsFeature(t,e,r,n,i,o,s){const l=ss(t,this.paint.get(\"line-translate\"),this.paint.get(\"line-translate-anchor\"),o.angle,s),c=s/2*hc(this.paint.get(\"line-width\").evaluate(e,r),this.paint.get(\"line-gap-width\").evaluate(e,r)),u=this.paint.get(\"line-offset\").evaluate(e,r);return u&&(n=function(t,e){const r=[];for(let n=0;n=3)for(let e=0;e0?e+2*t:t}const fc=ua([{name:\"a_pos_offset\",components:4,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint16\"},{name:\"a_pixeloffset\",components:4,type:\"Int16\"}],4),pc=ua([{name:\"a_projected_pos\",components:3,type:\"Float32\"}],4);ua([{name:\"a_fade_opacity\",components:1,type:\"Uint32\"}],4);const dc=ua([{name:\"a_placed\",components:2,type:\"Uint8\"},{name:\"a_shift\",components:2,type:\"Float32\"},{name:\"a_box_real\",components:2,type:\"Int16\"}]);ua([{type:\"Int16\",name:\"anchorPointX\"},{type:\"Int16\",name:\"anchorPointY\"},{type:\"Int16\",name:\"x1\"},{type:\"Int16\",name:\"y1\"},{type:\"Int16\",name:\"x2\"},{type:\"Int16\",name:\"y2\"},{type:\"Uint32\",name:\"featureIndex\"},{type:\"Uint16\",name:\"sourceLayerIndex\"},{type:\"Uint16\",name:\"bucketIndex\"}]);const mc=ua([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_anchor_pos\",components:2,type:\"Int16\"},{name:\"a_extrude\",components:2,type:\"Int16\"}],4),gc=ua([{name:\"a_pos\",components:2,type:\"Float32\"},{name:\"a_radius\",components:1,type:\"Float32\"},{name:\"a_flags\",components:2,type:\"Int16\"}],4);function yc(t,e,r){return t.sections.forEach((t=>{t.text=function(t,e,r){const 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t)if(0!==e.positionedGlyphs.length)return!1;return!0}(_)&&b}const ru={9:!0,10:!0,11:!0,12:!0,13:!0,32:!0},nu={10:!0,32:!0,38:!0,41:!0,43:!0,45:!0,47:!0,173:!0,183:!0,8203:!0,8208:!0,8211:!0,8231:!0},iu={40:!0};function au(t,e,r,n,i,a){if(e.imageName){const t=n[e.imageName];return t?t.displaySize[0]*e.scale*xc/a+i:0}{const n=r[e.fontStack],a=n&&n[t];return a?a.metrics.advance*e.scale+i:0}}function ou(t,e,r,n){const i=Math.pow(t-e,2);return n?t=0;let c=0;for(let r=0;rh){const t=Math.ceil(a/h);i*=t/o,o=t}return{x1:n,y1:i,x2:n+a,y2:i+o}}function mu(t,e,r,n,i,a){const o=t.image;let s;if(o.content){const t=o.content,e=o.pixelRatio||1;s=[t[0]/e,t[1]/e,o.displaySize[0]-t[2]/e,o.displaySize[1]-t[3]/e]}const l=e.left*a,c=e.right*a;let u,h,f,p;\"width\"===r||\"both\"===r?(p=i[0]+l-n[3],h=i[0]+c+n[1]):(p=i[0]+(l+c-o.displaySize[0])/2,h=p+o.displaySize[0]);const d=e.top*a,m=e.bottom*a;return\"height\"===r||\"both\"===r?(u=i[1]+d-n[0],f=i[1]+m+n[2]):(u=i[1]+(d+m-o.displaySize[1])/2,f=u+o.displaySize[1]),{image:o,top:u,right:h,bottom:f,left:p,collisionPadding:s}}const gu=255,yu=128,vu=gu*yu;function xu(t,e){const{expression:r}=e;if(\"constant\"===r.kind)return{kind:\"constant\",layoutSize:r.evaluate(new Hi(t+1))};if(\"source\"===r.kind)return{kind:\"source\"};{const{zoomStops:e,interpolationType:n}=r;let i=0;for(;it.id)),this.index=e.index,this.pixelRatio=e.pixelRatio,this.sourceLayerIndex=e.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=ps([]),this.placementViewportMatrix=ps([]);const r=this.layers[0]._unevaluatedLayout._values;this.textSizeData=xu(this.zoom,r[\"text-size\"]),this.iconSizeData=xu(this.zoom,r[\"icon-size\"]);const n=this.layers[0].layout,i=n.get(\"symbol-sort-key\"),a=n.get(\"symbol-z-order\");this.canOverlap=\"never\"!==_u(n,\"text-overlap\",\"text-allow-overlap\")||\"never\"!==_u(n,\"icon-overlap\",\"icon-allow-overlap\")||n.get(\"text-ignore-placement\")||n.get(\"icon-ignore-placement\"),this.sortFeaturesByKey=\"viewport-y\"!==a&&!i.isConstant();const o=\"viewport-y\"===a||\"auto\"===a&&!this.sortFeaturesByKey;this.sortFeaturesByY=o&&this.canOverlap,\"point\"===n.get(\"symbol-placement\")&&(this.writingModes=n.get(\"text-writing-mode\").map((e=>t.ai[e]))),this.stateDependentLayerIds=this.layers.filter((t=>t.isStateDependent())).map((t=>t.id)),this.sourceID=e.sourceID}createArrays(){this.text=new Mu(new Bo(this.layers,this.zoom,(t=>/^text/.test(t)))),this.icon=new Mu(new Bo(this.layers,this.zoom,(t=>/^icon/.test(t)))),this.glyphOffsetArray=new Ua,this.lineVertexArray=new Va,this.symbolInstances=new ja,this.textAnchorOffsets=new Ha}calculateGlyphDependencies(t,e,r,n,i){for(let a=0;a0)&&(\"constant\"!==o.value.kind||o.value.value.length>0),u=\"constant\"!==l.value.kind||!!l.value.value||Object.keys(l.parameters).length>0,h=a.get(\"symbol-sort-key\");if(this.features=[],!c&&!u)return;const f=r.iconDependencies,p=r.glyphDependencies,d=r.availableImages,m=new Hi(this.zoom);for(const{feature:r,id:s,index:l,sourceLayerIndex:g}of e){const e=i._featureFilter.needGeometry,y=Go(r,e);if(!i._featureFilter.filter(m,y,n))continue;let v,x;if(e||(y.geometry=Ho(r)),c){const t=i.getValueAndResolveTokens(\"text-field\",y,n,d),e=Kt.factory(t),r=this.hasRTLText=this.hasRTLText||Au(e);(!r||\"unavailable\"===qi.getRTLTextPluginStatus()||r&&qi.isParsed())&&(v=yc(e,i,y))}if(u){const t=i.getValueAndResolveTokens(\"icon-image\",y,n,d);x=t instanceof re?t:re.fromString(t)}if(!v&&!x)continue;const _=this.sortFeaturesByKey?h.evaluate(y,{},n):void 0,b={id:s,text:v,icon:x,index:l,sourceLayerIndex:g,geometry:y.geometry,properties:r.properties,type:bu[r.type],sortKey:_};if(this.features.push(b),x&&(f[x.name]=!0),v){const e=o.evaluate(y,{},n).join(\",\"),r=\"viewport\"!==a.get(\"text-rotation-alignment\")&&\"point\"!==a.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(t.ai.vertical)>=0;for(const t of v.sections)if(t.image)f[t.image.name]=!0;else{const n=Oi(v.toString()),i=t.fontStack||e,a=p[i]=p[i]||{};this.calculateGlyphDependencies(t.text,a,r,this.allowVerticalPlacement,n)}}}\"line\"===a.get(\"symbol-placement\")&&(this.features=function(t){const e={},r={},n=[];let i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){const 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){const 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){const n=r?e[0][e[0].length-1]:e[0][0];return`${t}:${n.x}:${n.y}`}for(let c=0;ct.geometry))}(this.features)),this.sortFeaturesByKey&&this.features.sort(((t,e)=>t.sortKey-e.sortKey))}update(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))}isEmpty(){return 0===this.symbolInstances.length&&!this.hasRTLText}uploadPending(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload}upload(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}destroyDebugData(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()}destroy(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()}addToLineVertexArray(t,e){const r=this.lineVertexArray.length;if(void 0!==t.segment){let r=t.dist(e[t.segment+1]),n=t.dist(e[t.segment]);const i={};for(let n=t.segment+1;n=0;r--)i[r]={x:e[r].x,y:e[r].y,tileUnitDistanceFromAnchor:n},r>0&&(n+=e[r-1].dist(e[r]));for(let t=0;t0}hasIconData(){return this.icon.segments.get().length>0}hasDebugData(){return this.textCollisionBox&&this.iconCollisionBox}hasTextCollisionBoxData(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0}hasIconCollisionBoxData(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0}addIndicesForPlacedSymbol(t,e){const r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs;for(let e=r.vertexStartIndex;en[t]-n[e]||i[e]-i[t])),a}addToSortKeyRanges(t,e){const 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})}sortFeatures(t){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(const t of this.symbolInstanceIndexes){const e=this.symbolInstances.get(t);this.featureSortOrder.push(e.featureIndex),[e.rightJustifiedTextSymbolIndex,e.centerJustifiedTextSymbolIndex,e.leftJustifiedTextSymbolIndex].forEach(((t,e,r)=>{t>=0&&r.indexOf(t)===e&&this.addIndicesForPlacedSymbol(this.text,t)})),e.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,e.verticalPlacedTextSymbolIndex),e.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,e.placedIconSymbolIndex),e.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,e.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}}}let Cu;Mi(\"SymbolBucket\",Eu,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),Eu.MAX_GLYPHS=65535,Eu.addDynamicAttributes=ku;let Lu;var Iu={get paint(){return Lu=Lu||new ia({\"icon-opacity\":new ta(Z.paint_symbol[\"icon-opacity\"]),\"icon-color\":new ta(Z.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new ta(Z.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new ta(Z.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new ta(Z.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new Qi(Z.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new Qi(Z.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new ta(Z.paint_symbol[\"text-opacity\"]),\"text-color\":new ta(Z.paint_symbol[\"text-color\"],{runtimeType:ft,getOverride:t=>t.textColor,hasOverride:t=>!!t.textColor}),\"text-halo-color\":new ta(Z.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new ta(Z.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new ta(Z.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new Qi(Z.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new Qi(Z.paint_symbol[\"text-translate-anchor\"])})},get layout(){return Cu=Cu||new ia({\"symbol-placement\":new Qi(Z.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new Qi(Z.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new Qi(Z.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new ta(Z.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new Qi(Z.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new Qi(Z.layout_symbol[\"icon-allow-overlap\"]),\"icon-overlap\":new Qi(Z.layout_symbol[\"icon-overlap\"]),\"icon-ignore-placement\":new Qi(Z.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new Qi(Z.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new Qi(Z.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new ta(Z.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new Qi(Z.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new Qi(Z.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new ta(Z.layout_symbol[\"icon-image\"]),\"icon-rotate\":new ta(Z.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new ta(Z.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new Qi(Z.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new ta(Z.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new ta(Z.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new Qi(Z.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new Qi(Z.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new Qi(Z.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new ta(Z.layout_symbol[\"text-field\"]),\"text-font\":new ta(Z.layout_symbol[\"text-font\"]),\"text-size\":new ta(Z.layout_symbol[\"text-size\"]),\"text-max-width\":new ta(Z.layout_symbol[\"text-max-width\"]),\"text-line-height\":new Qi(Z.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new ta(Z.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new ta(Z.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new ta(Z.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new Qi(Z.layout_symbol[\"text-variable-anchor\"]),\"text-variable-anchor-offset\":new ta(Z.layout_symbol[\"text-variable-anchor-offset\"]),\"text-anchor\":new ta(Z.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new Qi(Z.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new Qi(Z.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new ta(Z.layout_symbol[\"text-rotate\"]),\"text-padding\":new Qi(Z.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new Qi(Z.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new ta(Z.layout_symbol[\"text-transform\"]),\"text-offset\":new ta(Z.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new Qi(Z.layout_symbol[\"text-allow-overlap\"]),\"text-overlap\":new Qi(Z.layout_symbol[\"text-overlap\"]),\"text-ignore-placement\":new Qi(Z.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new Qi(Z.layout_symbol[\"text-optional\"])})}};class Pu{constructor(t){if(void 0===t.property.overrides)throw new Error(\"overrides must be provided to instantiate FormatSectionOverride class\");this.type=t.property.overrides?t.property.overrides.runtimeType:lt,this.defaultValue=t}evaluate(t){if(t.formattedSection){const 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}eachChild(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)}outputDefined(){return!1}serialize(){return null}}Mi(\"FormatSectionOverride\",Pu,{omit:[\"defaultValue\"]});class zu extends oa{constructor(t){super(t,Iu)}recalculate(t,e){if(super.recalculate(t,e),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=\"map\"===this.layout.get(\"text-rotation-alignment\")?\"map\":\"viewport\"),\"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\")){const t=this.layout.get(\"text-writing-mode\");if(t){const e=[];for(const r of t)e.indexOf(r)<0&&e.push(r);this.layout._values[\"text-writing-mode\"]=e}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()}getValueAndResolveTokens(t,e,r,n){const i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||kn(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,((e,r)=>t&&r in t?String(t[r]):\"\"))}(e.properties,i)}createBucket(t){return new Eu(t)}queryRadius(){return 0}queryIntersectsFeature(){throw new Error(\"Should take a different path in FeatureIndex\")}_setPaintOverrides(){for(const t of Iu.paint.overridableProperties){if(!zu.hasPaintOverride(this.layout,t))continue;const e=this.paint.get(t),r=new Pu(e),n=new Tn(r,e.property.specification);let i=null;i=\"constant\"===e.value.kind||\"source\"===e.value.kind?new Mn(\"source\",n):new Sn(\"composite\",n,e.value.zoomStops),this.paint._values[t]=new Ji(e.property,i,e.parameters)}}_handleOverridablePaintPropertyUpdate(t,e,r){return!(!this.layout||e.isDataDriven()||r.isDataDriven())&&zu.hasPaintOverride(this.layout,t)}static hasPaintOverride(t,e){const r=t.get(\"text-field\"),n=Iu.paint.properties[e];let i=!1;const a=t=>{for(const e of t)if(n.overrides&&n.overrides.hasOverride(e))return void(i=!0)};if(\"constant\"===r.value.kind&&r.value.value instanceof Kt)a(r.value.value.sections);else if(\"source\"===r.value.kind){const t=e=>{if(!i)if(e instanceof se&&ae(e.value)===gt){const t=e.value;a(t.sections)}else e instanceof We?a(e.sections):e.eachChild(t)},e=r.value;e._styleExpression&&t(e._styleExpression.expression)}return i}}let Ou;var Du={get paint(){return Ou=Ou||new ia({\"background-color\":new Qi(Z.paint_background[\"background-color\"]),\"background-pattern\":new ra(Z.paint_background[\"background-pattern\"]),\"background-opacity\":new Qi(Z.paint_background[\"background-opacity\"])})}};class Ru extends oa{constructor(t){super(t,Du)}}let Fu;var Bu={get paint(){return Fu=Fu||new ia({\"raster-opacity\":new Qi(Z.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new Qi(Z.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new Qi(Z.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new Qi(Z.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new Qi(Z.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new Qi(Z.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new Qi(Z.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new Qi(Z.paint_raster[\"raster-fade-duration\"])})}};class Nu extends oa{constructor(t){super(t,Bu)}}class ju extends oa{constructor(t){super(t,{}),this.onAdd=t=>{this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},this.onRemove=t=>{this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},this.implementation=t}is3D(){return\"3d\"===this.implementation.renderingMode}hasOffscreenPass(){return void 0!==this.implementation.prerender}recalculate(){}updateTransitions(){}hasTransition(){return!1}serialize(){throw new Error(\"Custom layers cannot be serialized\")}}class Uu{constructor(t){this._methodToThrottle=t,this._triggered=!1,\"undefined\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=()=>{this._triggered=!1,this._methodToThrottle()})}trigger(){this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((()=>{this._triggered=!1,this._methodToThrottle()}),0))}remove(){delete this._channel,this._methodToThrottle=()=>{}}}const Vu=6371008.8;class qu{constructor(t,e){if(isNaN(t)||isNaN(e))throw new Error(`Invalid LngLat object: (${t}, ${e})`);if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")}wrap(){return new qu(g(this.lng,-180,180),this.lat)}toArray(){return[this.lng,this.lat]}toString(){return`LngLat(${this.lng}, ${this.lat})`}distanceTo(t){const 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 Vu*Math.acos(Math.min(i,1))}static convert(t){if(t instanceof qu)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new qu(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new qu(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: , lat: }, an object {lon: , lat: }, or an array of [, ]\")}}const Hu=2*Math.PI*Vu;function Gu(t){return Hu*Math.cos(t*Math.PI/180)}function Zu(t){return(180+t)/360}function Wu(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Yu(t,e){return t/Gu(e)}function Xu(t){const e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}class $u{constructor(t,e,r=0){this.x=+t,this.y=+e,this.z=+r}static fromLngLat(t,e=0){const r=qu.convert(t);return new $u(Zu(r.lng),Wu(r.lat),Yu(e,r.lat))}toLngLat(){return new qu(360*this.x-180,Xu(this.y))}toAltitude(){return t=this.z,e=this.y,t*Gu(Xu(e));var t,e}meterInMercatorCoordinateUnits(){return 1/Hu*(t=Xu(this.y),1/Math.cos(t*Math.PI/180));var t}}function Ju(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}class Ku{constructor(t,e,r){if(t<0||t>25||r<0||r>=Math.pow(2,t)||e<0||e>=Math.pow(2,t))throw new Error(`x=${e}, y=${r}, z=${t} outside of bounds. 0<=x<${Math.pow(2,t)}, 0<=y<${Math.pow(2,t)} 0<=z<=25 `);this.z=t,this.x=e,this.y=r,this.key=eh(0,t,t,e,r)}equals(t){return this.z===t.z&&this.x===t.x&&this.y===t.y}url(t,e,r){const n=(a=this.x,o=this.y,s=this.z,l=Ju(256*a,256*(o=Math.pow(2,s)-o-1),s),c=Ju(256*(a+1),256*(o+1),s),l[0]+\",\"+l[1]+\",\"+c[0]+\",\"+c[1]),i=function(t,e,r){let n,i=\"\";for(let a=t;a>0;a--)n=1<1?\"@2x\":\"\").replace(/{quadkey}/g,i).replace(/{bbox-epsg-3857}/g,n)}isChildOf(t){const e=this.z-t.z;return e>0&&t.x===this.x>>e&&t.y===this.y>>e}getTilePoint(t){const e=Math.pow(2,this.z);return new a((t.x*e-this.x)*Uo,(t.y*e-this.y)*Uo)}toString(){return`${this.z}/${this.x}/${this.y}`}}class Qu{constructor(t,e){this.wrap=t,this.canonical=e,this.key=eh(t,e.z,e.z,e.x,e.y)}}class th{constructor(t,e,r,n,i){if(t= z; overscaledZ = ${t}; z = ${r}`);this.overscaledZ=t,this.wrap=e,this.canonical=new Ku(r,+n,+i),this.key=eh(e,t,r,n,i)}clone(){return new th(this.overscaledZ,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)}equals(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)}scaledTo(t){if(t>this.overscaledZ)throw new Error(`targetZ > this.overscaledZ; targetZ = ${t}; overscaledZ = ${this.overscaledZ}`);const e=this.canonical.z-t;return t>this.canonical.z?new th(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new th(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)}calculateScaledKey(t,e){if(t>this.overscaledZ)throw new Error(`targetZ > this.overscaledZ; targetZ = ${t}; overscaledZ = ${this.overscaledZ}`);const r=this.canonical.z-t;return t>this.canonical.z?eh(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):eh(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)}isChildOf(t){if(t.wrap!==this.wrap)return!1;const e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ>e&&t.canonical.y===this.canonical.y>>e}children(t){if(this.overscaledZ>=t)return[new th(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];const e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new th(e,this.wrap,e,r,n),new th(e,this.wrap,e,r+1,n),new th(e,this.wrap,e,r,n+1),new th(e,this.wrap,e,r+1,n+1)]}isLessThan(t){return this.wrapt.wrap)&&(this.overscaledZt.overscaledZ)&&(this.canonical.xt.canonical.x)&&this.canonical.ythis.max&&(this.max=r),r=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)}unpack(t,e,r){return t*this.redFactor+e*this.greenFactor+r*this.blueFactor-this.baseShift}getPixels(){return new Ls({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))}backfillBorder(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");let n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}const s=-e*this.dim,l=-r*this.dim;for(let e=a;e=this._numberToString.length)throw new Error(`Out of bounds. Index requested n=${t} can't be >= this._numberToString.length ${this._numberToString.length}`);return this._numberToString[t]}}class ih{constructor(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}get geometry(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry}set geometry(t){this._geometry=t}toJSON(){const t={geometry:this.geometry};for(const e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t}}class ah{constructor(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new ki(Uo,16,0),this.grid3D=new ki(Uo,16,0),this.featureIndexArray=new Za,this.promoteId=e}insert(t,e,r,n,i,a){const o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);const s=a?this.grid3D:this.grid;for(let t=0;t=0&&n[3]>=0&&s.insert(o,n[0],n[1],n[2],n[3])}}loadVTLayers(){return this.vtLayers||(this.vtLayers=new Tl.VectorTile(new Uc(this.rawTileData)).layers,this.sourceLayerCoder=new nh(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers}query(t,e,r,n){this.loadVTLayers();const i=t.params||{},o=Uo/t.tileSize/t.scale,s=zn(i.filter),l=t.queryGeometry,c=t.queryPadding*o,u=sh(l),h=this.grid.query(u.minX-c,u.minY-c,u.maxX+c,u.maxY+c),f=sh(t.cameraQueryGeometry),p=this.grid3D.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c,((e,r,n,i)=>function(t,e,r,n,i){for(const a of t)if(e<=a.x&&r<=a.y&&n>=a.x&&i>=a.y)return!0;const o=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(const e of o)if(ns(t,e))return!0;for(let e=0;e(f||(f=Ho(e)),r.queryIntersectsFeature(l,e,n,f,this.z,t.transform,o,t.pixelPosMatrix))))}return d}loadMatchingFeature(t,e,r,n,i,a,o,s,l,c,u){const h=this.bucketLayerIDs[e];if(a&&!function(t,e){for(let r=0;r=0)return!0;return!1}(a,h))return;const f=this.sourceLayerCoder.decode(r),p=this.vtLayers[f].feature(n);if(i.needGeometry){const t=Go(p,!0);if(!i.filter(new Hi(this.tileID.overscaledZ),t,this.tileID.canonical))return}else if(!i.filter(new Hi(this.tileID.overscaledZ),p))return;const d=this.getId(p,f);for(let e=0;e{const o=e instanceof Ki?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function sh(t){let e=1/0,r=1/0,n=-1/0,i=-1/0;for(const a of t)e=Math.min(e,a.x),r=Math.min(r,a.y),n=Math.max(n,a.x),i=Math.max(i,a.y);return{minX:e,minY:r,maxX:n,maxY:i}}function lh(t,e){return e-t}function ch(t,e,r,n,i){const o=[];for(let s=0;s=n&&u.x>=n||(s.x>=n?s=new a(n,s.y+(u.y-s.y)*((n-s.x)/(u.x-s.x)))._round():u.x>=n&&(u=new a(n,s.y+(u.y-s.y)*((n-s.x)/(u.x-s.x)))._round()),s.y>=i&&u.y>=i||(s.y>=i?s=new a(s.x+(u.x-s.x)*((i-s.y)/(u.y-s.y)),i)._round():u.y>=i&&(u=new a(s.x+(u.x-s.x)*((i-s.y)/(u.y-s.y)),i)._round()),c&&s.equals(c[c.length-1])||(c=[s],o.push(c)),c.push(u)))))}}return o}Mi(\"FeatureIndex\",ah,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});class uh extends a{constructor(t,e,r,n){super(t,e),this.angle=r,void 0!==n&&(this.segment=n)}clone(){return new uh(this.x,this.y,this.angle,this.segment)}}function hh(t,e,r,n,i){if(void 0===e.segment||0===r)return!0;let a=e,o=e.segment+1,s=0;for(;s>-r/2;){if(o--,o<0)return!1;s-=t[o].dist(a),a=t[o]}s+=t[o].dist(t[o+1]),o++;const l=[];let c=0;for(;sn;)c-=l.shift().angleDelta;if(c>i)return!1;o++,s+=r.dist(a)}return!0}function fh(t){let e=0;for(let r=0;rc){const u=(c-l)/a,h=Pe.number(n.x,i.x,u),f=Pe.number(n.y,i.y,u),p=new uh(h,f,i.angleTo(n),r);return p._round(),!o||hh(t,p,s,o,e)?p:void 0}l+=a}}function gh(t,e,r,n,i,a,o,s,l){const c=ph(n,a,o),u=dh(n,i),h=u*o,f=0===t[0].x||t[0].x===l||0===t[0].y||t[0].y===l;return e-h=0&&y=0&&v=0&&f+c<=u){const r=new uh(y,v,m,e);r._round(),n&&!hh(t,r,a,n,i)||p.push(r)}}h+=d}return s||p.length||o||(p=yh(t,h/2,r,n,i,a,o,!0,l)),p}Mi(\"Anchor\",uh);const vh=Yc;function xh(t,e,r,n){const i=[],o=t.image,s=o.pixelRatio,l=o.paddedRect.w-2*vh,c=o.paddedRect.h-2*vh;let u={x1:t.left,y1:t.top,x2:t.right,y2:t.bottom};const h=o.stretchX||[[0,l]],f=o.stretchY||[[0,c]],p=(t,e)=>t+e[1]-e[0],d=h.reduce(p,0),m=f.reduce(p,0),g=l-d,y=c-m;let v=0,x=d,_=0,b=m,w=0,T=g,k=0,A=y;if(o.content&&n){const e=o.content,r=e[2]-e[0],n=e[3]-e[1];(o.textFitWidth||o.textFitHeight)&&(u=du(t)),v=_h(h,0,e[0]),_=_h(f,0,e[1]),x=_h(h,e[0],e[2]),b=_h(f,e[1],e[3]),w=e[0]-v,k=e[1]-_,T=r-x,A=n-b}const M=u.x1,S=u.y1,E=u.x2-M,C=u.y2-S,L=(t,n,i,l)=>{const c=wh(t.stretch-v,x,E,M),u=Th(t.fixed-w,T,t.stretch,d),h=wh(n.stretch-_,b,C,S),f=Th(n.fixed-k,A,n.stretch,m),p=wh(i.stretch-v,x,E,M),g=Th(i.fixed-w,T,i.stretch,d),y=wh(l.stretch-_,b,C,S),L=Th(l.fixed-k,A,l.stretch,m),I=new a(c,h),P=new a(p,h),z=new a(p,y),O=new a(c,y),D=new a(u/s,f/s),R=new a(g/s,L/s),F=e*Math.PI/180;if(F){const t=Math.sin(F),e=Math.cos(F),r=[e,-t,t,e];I._matMult(r),P._matMult(r),O._matMult(r),z._matMult(r)}const B=t.stretch+t.fixed,N=i.stretch+i.fixed,j=n.stretch+n.fixed,U=l.stretch+l.fixed;return{tl:I,tr:P,bl:O,br:z,tex:{x:o.paddedRect.x+vh+B,y:o.paddedRect.y+vh+j,w:N-B,h:U-j},writingMode:void 0,glyphOffset:[0,0],sectionIndex:0,pixelOffsetTL:D,pixelOffsetBR:R,minFontScaleX:T/s/E,minFontScaleY:A/s/C,isSDF:r}};if(n&&(o.stretchX||o.stretchY)){const t=bh(h,g,d),e=bh(f,y,m);for(let r=0;r0&&(n=Math.max(10,n),this.circleDiameter=n)}else{const c=(null===(h=o.image)||void 0===h?void 0:h.content)&&(o.image.textFitWidth||o.image.textFitHeight)?du(o):{x1:o.left,y1:o.top,x2:o.right,y2:o.bottom};c.y1=c.y1*s-l[0],c.y2=c.y2*s+l[2],c.x1=c.x1*s-l[3],c.x2=c.x2*s+l[1];const f=o.collisionPadding;if(f&&(c.x1-=f[0]*s,c.y1-=f[1]*s,c.x2+=f[2]*s,c.y2+=f[3]*s),u){const t=new a(c.x1,c.y1),e=new a(c.x2,c.y1),r=new a(c.x1,c.y2),n=new a(c.x2,c.y2),i=u*Math.PI/180;t._rotate(i),e._rotate(i),r._rotate(i),n._rotate(i),c.x1=Math.min(t.x,e.x,r.x,n.x),c.x2=Math.max(t.x,e.x,r.x,n.x),c.y1=Math.min(t.y,e.y,r.y,n.y),c.y2=Math.max(t.y,e.y,r.y,n.y)}t.emplaceBack(e.x,e.y,c.x1,c.y1,c.x2,c.y2,r,n,i)}this.boxEndIndex=t.length}}class Ah{constructor(t=[],e=((t,e)=>te?1:0)){if(this.data=t,this.length=this.data.length,this.compare=e,this.length>0)for(let t=(this.length>>1)-1;t>=0;t--)this._down(t)}push(t){this.data.push(t),this._up(this.length++)}pop(){if(0===this.length)return;const t=this.data[0],e=this.data.pop();return--this.length>0&&(this.data[0]=e,this._down(0)),t}peek(){return this.data[0]}_up(t){const{data:e,compare:r}=this,n=e[t];for(;t>0;){const i=t-1>>1,a=e[i];if(r(n,a)>=0)break;e[t]=a,t=i}e[t]=n}_down(t){const{data:e,compare:r}=this,n=this.length>>1,i=e[t];for(;t=0)break;e[t]=e[n],t=n}e[t]=i}}function Mh(t,e=1,r=!1){let n=1/0,i=1/0,o=-1/0,s=-1/0;const l=t[0];for(let t=0;to)&&(o=e.x),(!t||e.y>s)&&(s=e.y)}const c=o-n,u=s-i,h=Math.min(c,u);let f=h/2;const p=new Ah([],Sh);if(0===h)return new a(n,i);for(let e=n;ed.d||!d.d)&&(d=n,r&&console.log(\"found best %d after %d probes\",Math.round(1e4*n.d)/1e4,m)),n.max-d.d<=e||(f=n.h/2,p.push(new Eh(n.p.x-f,n.p.y-f,f,t)),p.push(new Eh(n.p.x+f,n.p.y-f,f,t)),p.push(new Eh(n.p.x-f,n.p.y+f,f,t)),p.push(new Eh(n.p.x+f,n.p.y+f,f,t)),m+=4)}return r&&(console.log(`num probes: ${m}`),console.log(`best distance: ${d.d}`)),d.p}function Sh(t,e){return e.max-t.max}function Eh(t,e,r,n){this.p=new a(t,e),this.h=r,this.d=function(t,e){let r=!1,n=1/0;for(let i=0;it.y!=s.y>t.y&&t.x<(s.x-i.x)*(t.y-i.y)/(s.y-i.y)+i.x&&(r=!r),n=Math.min(n,es(t,i,s))}}return(r?1:-1)*Math.sqrt(n)}(this.p,n),this.max=this.d+this.h*Math.SQRT2}var Ch;t.ar=void 0,(Ch=t.ar||(t.ar={}))[Ch.center=1]=\"center\",Ch[Ch.left=2]=\"left\",Ch[Ch.right=3]=\"right\",Ch[Ch.top=4]=\"top\",Ch[Ch.bottom=5]=\"bottom\",Ch[Ch[\"top-left\"]=6]=\"top-left\",Ch[Ch[\"top-right\"]=7]=\"top-right\",Ch[Ch[\"bottom-left\"]=8]=\"bottom-left\",Ch[Ch[\"bottom-right\"]=9]=\"bottom-right\";const Lh=7,Ih=Number.POSITIVE_INFINITY;function Ph(t,e){return e[1]!==Ih?function(t,e,r){let n=0,i=0;switch(e=Math.abs(e),r=Math.abs(r),t){case\"top-right\":case\"top-left\":case\"top\":i=r-Lh;break;case\"bottom-right\":case\"bottom-left\":case\"bottom\":i=-r+Lh}switch(t){case\"top-right\":case\"bottom-right\":case\"right\":n=-e;break;case\"top-left\":case\"bottom-left\":case\"left\":n=e}return[n,i]}(t,e[0],e[1]):function(t,e){let r=0,n=0;e<0&&(e=0);const 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h.call(this,t,e,r)}},p=class{constructor(e){this.layers={_geojsonTileLayer:this},this.name=\"_geojsonTileLayer\",this.extent=t.X,this.length=e.length,this._features=e}feature(t){return new f(this._features[t])}};var d={exports:{}},m=t.by,g=t.bs.VectorTileFeature,y=v;function v(t,e){this.options=e||{},this.features=t,this.length=t.length}function x(t,e){this.id=\"number\"==typeof t.id?t.id:void 0,this.type=t.type,this.rawGeometry=1===t.type?[t.geometry]:t.geometry,this.properties=t.tags,this.extent=e||4096}v.prototype.feature=function(t){return new x(this.features[t],this.options.extent)},x.prototype.loadGeometry=function(){var t=this.rawGeometry;this.geometry=[];for(var e=0;e>31}function E(t,e){for(var r=t.loadGeometry(),n=t.type,i=0,a=0,o=r.length,s=0;st},z=Math.fround||(O=new Float32Array(1),t=>(O[0]=+t,O[0]));var O;const D=3,R=5,F=6;class B{constructor(t){this.options=Object.assign(Object.create(P),t),this.trees=new Array(this.options.maxZoom+1),this.stride=this.options.reduce?7:6,this.clusterProps=[]}load(t){const{log:e,minZoom:r,maxZoom:n}=this.options;e&&console.time(\"total time\");const i=`prepare ${t.length} points`;e&&console.time(i),this.points=t;const a=[];for(let e=0;e=r;t--){const r=+Date.now();o=this.trees[t]=this._createTree(this._cluster(o,t)),e&&console.log(\"z%d: %d clusters in %dms\",t,o.numItems,+Date.now()-r)}return e&&console.timeEnd(\"total time\"),this}getClusters(t,e){let r=((t[0]+180)%360+360)%360-180;const n=Math.max(-90,Math.min(90,t[1]));let i=180===t[2]?180:((t[2]+180)%360+360)%360-180;const a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){const t=this.getClusters([r,n,180,a],e),o=this.getClusters([-180,n,i,a],e);return t.concat(o)}const o=this.trees[this._limitZoom(e)],s=o.range(U(r),V(a),U(i),V(n)),l=o.data,c=[];for(const t of s){const e=this.stride*t;c.push(l[e+R]>1?N(l,e,this.clusterProps):this.points[l[e+D]])}return c}getChildren(t){const 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);const a=i.data;if(e*this.stride>=a.length)throw new Error(n);const o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=a[e*this.stride],l=a[e*this.stride+1],c=i.within(s,l,o),u=[];for(const e of c){const r=e*this.stride;a[r+4]===t&&u.push(a[r+R]>1?N(a,r,this.clusterProps):this.points[a[r+D]])}if(0===u.length)throw new Error(n);return u}getLeaves(t,e,r){e=e||10,r=r||0;const n=[];return this._appendLeaves(n,t,e,r,0),n}getTile(t,e,r){const n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),{extent:a,radius:o}=this.options,s=o/a,l=(r-s)/i,c=(r+1+s)/i,u={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,c),n.data,e,r,i,u),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,c),n.data,i,r,i,u),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,c),n.data,-1,r,i,u),u.features.length?u:null}getClusterExpansionZoom(t){let e=this._getOriginZoom(t)-1;for(;e<=this.options.maxZoom;){const r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e}_appendLeaves(t,e,r,n,i){const a=this.getChildren(e);for(const e of a){const a=e.properties;if(a&&a.cluster?i+a.point_count<=n?i+=a.point_count:i=this._appendLeaves(t,a.cluster_id,r,n,i):i1;let l,c,u;if(s)l=j(e,t,this.clusterProps),c=e[t],u=e[t+1];else{const r=this.points[e[t+D]];l=r.properties;const[n,i]=r.geometry.coordinates;c=U(n),u=V(i)}const h={type:1,geometry:[[Math.round(this.options.extent*(c*i-r)),Math.round(this.options.extent*(u*i-n))]],tags:l};let f;f=s||this.options.generateId?e[t+D]:this.points[e[t+D]].id,void 0!==f&&(h.id=f),a.features.push(h)}}_limitZoom(t){return Math.max(this.options.minZoom,Math.min(Math.floor(+t),this.options.maxZoom+1))}_cluster(t,e){const{radius:r,extent:n,reduce:i,minPoints:a}=this.options,o=r/(n*Math.pow(2,e)),s=t.data,l=[],c=this.stride;for(let r=0;re&&(p+=s[r+R])}if(p>f&&p>=a){let t,a=n*f,o=u*f,d=-1;const m=((r/c|0)<<5)+(e+1)+this.points.length;for(const n of h){const l=n*c;if(s[l+2]<=e)continue;s[l+2]=e;const u=s[l+R];a+=s[l]*u,o+=s[l+1]*u,s[l+4]=m,i&&(t||(t=this._map(s,r,!0),d=this.clusterProps.length,this.clusterProps.push(t)),i(t,this._map(s,l)))}s[r+4]=m,l.push(a/p,o/p,1/0,m,-1,p),i&&l.push(d)}else{for(let t=0;t1)for(const t of h){const r=t*c;if(!(s[r+2]<=e)){s[r+2]=e;for(let t=0;t>5}_getOriginZoom(t){return(t-this.points.length)%32}_map(t,e,r){if(t[e+R]>1){const n=this.clusterProps[t[e+F]];return r?Object.assign({},n):n}const n=this.points[t[e+D]].properties,i=this.options.map(n);return r&&i===n?Object.assign({},i):i}}function N(t,e,r){return{type:\"Feature\",id:t[e+D],properties:j(t,e,r),geometry:{type:\"Point\",coordinates:[(n=t[e],360*(n-.5)),q(t[e+1])]}};var n}function j(t,e,r){const n=t[e+R],i=n>=1e4?`${Math.round(n/1e3)}k`:n>=1e3?Math.round(n/100)/10+\"k\":n,a=t[e+F],o=-1===a?{}:Object.assign({},r[a]);return 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at(t,a,r+(i-r)*o,1),o}function st(t,e,r,n,i,a){const o=(a-r)/(i-r);return at(t,e+(n-e)*o,a,1),o}function lt(t,e){const r=[];for(let n=0;n0&&e.size<(i?o:n))return void(r.numPoints+=e.length/3);const s=[];for(let t=0;to)&&(r.numSimplified++,s.push(e[t],e[t+1])),r.numPoints++;i&&function(t,e){let r=0;for(let e=0,n=t.length,i=n-2;e0===e)for(let e=0,r=t.length;e24)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.\");let n=function(t,e){const r=[];if(\"FeatureCollection\"===t.type)for(let n=0;n1&&console.time(\"creation\"),f=this.tiles[h]=ft(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,f.numFeatures,f.numPoints,f.numSimplified),console.timeEnd(\"creation\"));const t=`z${e}`;this.stats[t]=(this.stats[t]||0)+1,this.total++}if(f.source=t,null==i){if(e===l.indexMaxZoom||f.numPoints<=l.indexMaxPoints)continue}else{if(e===l.maxZoom||e===i)continue;if(null!=i){const t=i-e;if(r!==a>>t||n!==o>>t)continue}}if(f.source=null,0===t.length)continue;c>1&&console.time(\"clipping\");const p=.5*l.buffer/l.extent,d=.5-p,m=.5+p,g=1+p;let y=null,v=null,x=null,_=null,b=tt(t,u,r-p,r+m,0,f.minX,f.maxX,l),w=tt(t,u,r+d,r+g,0,f.minX,f.maxX,l);t=null,b&&(y=tt(b,u,n-p,n+m,1,f.minY,f.maxY,l),v=tt(b,u,n+d,n+g,1,f.minY,f.maxY,l),b=null),w&&(x=tt(w,u,n-p,n+m,1,f.minY,f.maxY,l),_=tt(w,u,n+d,n+g,1,f.minY,f.maxY,l),w=null),c>1&&console.timeEnd(\"clipping\"),s.push(y||[],e+1,2*r,2*n),s.push(v||[],e+1,2*r,2*n+1),s.push(x||[],e+1,2*r+1,2*n),s.push(_||[],e+1,2*r+1,2*n+1)}}getTile(t,e,r){t=+t,e=+e,r=+r;const n=this.options,{extent:i,debug:a}=n;if(t<0||t>24)return null;const o=1<1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);let l,c=t,u=e,h=r;for(;!l&&c>0;)c--,u>>=1,h>>=1,l=this.tiles[yt(c,u,h)];return l&&l.source?(a>1&&(console.log(\"found parent tile z%d-%d-%d\",c,u,h),console.time(\"drilling down\")),this.splitTile(l.source,c,u,h,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?ut(this.tiles[s],i):null):null}}function yt(t,e,r){return 32*((1<{o.properties=t;const e={};for(const t of s)e[t]=n[t].evaluate(a,o);return e},e.reduce=(t,e)=>{o.properties=e;for(const e of s)a.accumulated=t[e],t[e]=i[e].evaluate(a,o)},e}(e)).load((yield this._pendingData).features):(i=yield this._pendingData,a=e.geojsonVtOptions,new gt(i,a)),this.loaded={};const r={};if(n){const t=n.finish();t&&(r.resourceTiming={},r.resourceTiming[e.source]=JSON.parse(JSON.stringify(t)))}return r}catch(e){if(delete this._pendingRequest,t.bA(e))return{abandoned:!0};throw e}var i,a}))}getData(){return t._(this,void 0,void 0,(function*(){return this._pendingData}))}reloadTile(t){const e=this.loaded,r=t.uid;return e&&e[r]?super.reloadTile(t):this.loadTile(t)}loadAndProcessGeoJSON(e,r){return t._(this,void 0,void 0,(function*(){let n=yield this.loadGeoJSON(e,r);if(delete this._pendingRequest,\"object\"!=typeof n)throw new Error(`Input data given to '${e.source}' is not a valid GeoJSON object.`);if(u(n,!0),e.filter){const r=t.bB(e.filter,{type:\"boolean\",\"property-type\":\"data-driven\",overridable:!1,transition:!1});if(\"error\"===r.result)throw new Error(r.value.map((t=>`${t.key}: ${t.message}`)).join(\", \"));const i=n.features.filter((t=>r.value.evaluate({zoom:0},t)));n={type:\"FeatureCollection\",features:i}}return n}))}loadGeoJSON(e,r){return t._(this,void 0,void 0,(function*(){const{promoteId:n}=e;if(e.request){const i=yield t.h(e.request,r);return this._dataUpdateable=xt(i.data,n)?_t(i.data,n):void 0,i.data}if(\"string\"==typeof e.data)try{const t=JSON.parse(e.data);return this._dataUpdateable=xt(t,n)?_t(t,n):void 0,t}catch(t){throw new Error(`Input data given to '${e.source}' is not a 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r.removeProperties)Object.prototype.hasOwnProperty.call(e.properties,t)&&delete e.properties[t];if((null===(o=r.addOrUpdateProperties)||void 0===o?void 0:o.length)>0)for(const{key:t,value:n}of r.addOrUpdateProperties)e.properties[t]=n}}(this._dataUpdateable,e.dataDiff,n),{type:\"FeatureCollection\",features:Array.from(this._dataUpdateable.values())}}))}removeSource(e){return t._(this,void 0,void 0,(function*(){this._pendingRequest&&this._pendingRequest.abort()}))}getClusterExpansionZoom(t){return this._geoJSONIndex.getClusterExpansionZoom(t.clusterId)}getClusterChildren(t){return this._geoJSONIndex.getChildren(t.clusterId)}getClusterLeaves(t){return this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset)}}class wt{constructor(e){this.self=e,this.actor=new t.F(e),this.layerIndexes={},this.availableImages={},this.workerSources={},this.demWorkerSources={},this.externalWorkerSourceTypes={},this.self.registerWorkerSource=(t,e)=>{if(this.externalWorkerSourceTypes[t])throw new 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this._getWorkerSource(e,r.type,r.source).getClusterLeaves(r)})))),this.actor.registerMessageHandler(\"LD\",((t,e)=>this._getWorkerSource(t,e.type,e.source).loadData(e))),this.actor.registerMessageHandler(\"GD\",((t,e)=>this._getWorkerSource(t,e.type,e.source).getData())),this.actor.registerMessageHandler(\"LT\",((t,e)=>this._getWorkerSource(t,e.type,e.source).loadTile(e))),this.actor.registerMessageHandler(\"RT\",((t,e)=>this._getWorkerSource(t,e.type,e.source).reloadTile(e))),this.actor.registerMessageHandler(\"AT\",((t,e)=>this._getWorkerSource(t,e.type,e.source).abortTile(e))),this.actor.registerMessageHandler(\"RMT\",((t,e)=>this._getWorkerSource(t,e.type,e.source).removeTile(e))),this.actor.registerMessageHandler(\"RS\",((e,r)=>t._(this,void 0,void 0,(function*(){if(!this.workerSources[e]||!this.workerSources[e][r.type]||!this.workerSources[e][r.type][r.source])return;const t=this.workerSources[e][r.type][r.source];delete this.workerSources[e][r.type][r.source],void 0!==t.removeSource&&t.removeSource(r)})))),this.actor.registerMessageHandler(\"RM\",(e=>t._(this,void 0,void 0,(function*(){delete this.layerIndexes[e],delete this.availableImages[e],delete this.workerSources[e],delete this.demWorkerSources[e]})))),this.actor.registerMessageHandler(\"SR\",((e,r)=>t._(this,void 0,void 0,(function*(){this.referrer=r})))),this.actor.registerMessageHandler(\"SRPS\",((t,e)=>this._syncRTLPluginState(t,e))),this.actor.registerMessageHandler(\"IS\",((e,r)=>t._(this,void 0,void 0,(function*(){this.self.importScripts(r)})))),this.actor.registerMessageHandler(\"SI\",((t,e)=>this._setImages(t,e))),this.actor.registerMessageHandler(\"UL\",((e,r)=>t._(this,void 0,void 0,(function*(){this._getLayerIndex(e).update(r.layers,r.removedIds)})))),this.actor.registerMessageHandler(\"SL\",((e,r)=>t._(this,void 0,void 0,(function*(){this._getLayerIndex(e).replace(r)}))))}_setImages(e,r){return t._(this,void 0,void 0,(function*(){this.availableImages[e]=r;for(const t in this.workerSources[e]){const n=this.workerSources[e][t];for(const t in n)n[t].availableImages=r}}))}_syncRTLPluginState(e,r){return t._(this,void 0,void 0,(function*(){if(t.bC.isParsed())return t.bC.getState();if(\"loading\"!==r.pluginStatus)return t.bC.setState(r),r;const e=r.pluginURL;if(this.self.importScripts(e),t.bC.isParsed()){const r={pluginStatus:\"loaded\",pluginURL:e};return t.bC.setState(r),r}throw t.bC.setState({pluginStatus:\"error\",pluginURL:\"\"}),new Error(`RTL Text Plugin failed to import scripts from ${e}`)}))}_getAvailableImages(t){let e=this.availableImages[t];return e||(e=[]),e}_getLayerIndex(t){let r=this.layerIndexes[t];return r||(r=this.layerIndexes[t]=new e),r}_getWorkerSource(t,e,r){if(this.workerSources[t]||(this.workerSources[t]={}),this.workerSources[t][e]||(this.workerSources[t][e]={}),!this.workerSources[t][e][r]){const n={sendAsync:(e,r)=>(e.targetMapId=t,this.actor.sendAsync(e,r))};switch(e){case\"vector\":this.workerSources[t][e][r]=new a(n,this._getLayerIndex(t),this._getAvailableImages(t));break;case\"geojson\":this.workerSources[t][e][r]=new bt(n,this._getLayerIndex(t),this._getAvailableImages(t));break;default:this.workerSources[t][e][r]=new this.externalWorkerSourceTypes[e](n,this._getLayerIndex(t),this._getAvailableImages(t))}}return this.workerSources[t][e][r]}_getDEMWorkerSource(t,e){return this.demWorkerSources[t]||(this.demWorkerSources[t]={}),this.demWorkerSources[t][e]||(this.demWorkerSources[t][e]=new o),this.demWorkerSources[t][e]}}return t.i(self)&&(self.worker=new wt(self)),wt})),r(\"index\",0,(function(t,e){var r=\"4.5.2\";let n,i;const a={now:\"undefined\"!=typeof performance&&performance&&performance.now?performance.now.bind(performance):Date.now.bind(Date),frameAsync(t){return new Promise(((r,n)=>{const i=requestAnimationFrame(r);t.signal.addEventListener(\"abort\",(()=>{cancelAnimationFrame(i),n(e.c())}))}))},getImageData(t,e=0){return this.getImageCanvasContext(t).getImageData(-e,-e,t.width+2*e,t.height+2*e)},getImageCanvasContext(t){const e=window.document.createElement(\"canvas\"),r=e.getContext(\"2d\",{willReadFrequently:!0});if(!r)throw new Error(\"failed to create canvas 2d context\");return e.width=t.width,e.height=t.height,r.drawImage(t,0,0,t.width,t.height),r},resolveURL(t){return n||(n=document.createElement(\"a\")),n.href=t,n.href},hardwareConcurrency:\"undefined\"!=typeof navigator&&navigator.hardwareConcurrency||4,get prefersReducedMotion(){return!!matchMedia&&(null==i&&(i=matchMedia(\"(prefers-reduced-motion: reduce)\")),i.matches)}};class o{static testProp(t){if(!o.docStyle)return t[0];for(let e=0;e{window.removeEventListener(\"click\",o.suppressClickInternal,!0)}),0)}static getScale(t){const e=t.getBoundingClientRect();return{x:e.width/t.offsetWidth||1,y:e.height/t.offsetHeight||1,boundingClientRect:e}}static getPoint(t,r,n){const i=r.boundingClientRect;return new e.P((n.clientX-i.left)/r.x-t.clientLeft,(n.clientY-i.top)/r.y-t.clientTop)}static mousePos(t,e){const r=o.getScale(t);return o.getPoint(t,r,e)}static touchPos(t,e){const r=[],n=o.getScale(t);for(let i=0;i{l&&f(l),l=null,h=!0},c.onerror=()=>{u=!0,l=null},c.src=\"data:image/webp;base64,UklGRh4AAABXRUJQVlA4TBEAAAAvAQAAAAfQ//73v/+BiOh/AAA=\"),function(t){let r,n,i,a;t.resetRequestQueue=()=>{r=[],n=0,i=0,a={}},t.addThrottleControl=t=>{const e=i++;return a[e]=t,e},t.removeThrottleControl=t=>{delete a[t],l()};t.getImage=(t,n,i=!0)=>new Promise(((a,o)=>{s.supported&&(t.headers||(t.headers={}),t.headers.accept=\"image/webp,*/*\"),e.e(t,{type:\"image\"});const c={abortController:n,requestParameters:t,supportImageRefresh:i,state:\"queued\",onError:t=>{o(t)},onSuccess:t=>{a(t)}};r.push(c),l()}));const o=t=>e._(this,void 0,void 0,(function*(){t.state=\"running\";const{requestParameters:r,supportImageRefresh:i,onError:a,onSuccess:o,abortController:s}=t,u=!1===i&&!e.i(self)&&!e.g(r.url)&&(!r.headers||Object.keys(r.headers).reduce(((t,e)=>t&&\"accept\"===e),!0));n++;const h=u?c(r,s):e.m(r,s);try{const r=yield h;delete t.abortController,t.state=\"completed\",r.data instanceof HTMLImageElement||e.b(r.data)?o(r):r.data&&o({data:yield(f=r.data,\"function\"==typeof createImageBitmap?e.d(f):e.f(f)),cacheControl:r.cacheControl,expires:r.expires})}catch(e){delete t.abortController,a(e)}finally{n--,l()}var f})),l=()=>{const t=(()=>{for(const t of Object.keys(a))if(a[t]())return!0;return!1})()?e.a.MAX_PARALLEL_IMAGE_REQUESTS_PER_FRAME:e.a.MAX_PARALLEL_IMAGE_REQUESTS;for(let e=n;e0;e++){const t=r.shift();t.abortController.signal.aborted?e--:o(t)}},c=(t,r)=>new Promise(((n,i)=>{const a=new Image,o=t.url,s=t.credentials;s&&\"include\"===s?a.crossOrigin=\"use-credentials\":(s&&\"same-origin\"===s||!e.s(o))&&(a.crossOrigin=\"anonymous\"),r.signal.addEventListener(\"abort\",(()=>{a.src=\"\",i(e.c())})),a.fetchPriority=\"high\",a.onload=()=>{a.onerror=a.onload=null,n({data:a})},a.onerror=()=>{a.onerror=a.onload=null,r.signal.aborted||i(new Error(\"Could not load image. Please make sure to use a supported image type such as PNG or JPEG. Note that SVGs are not supported.\"))},a.src=o}))}(p||(p={})),p.resetRequestQueue();class d{constructor(t){this._transformRequestFn=t}transformRequest(t,e){return this._transformRequestFn&&this._transformRequestFn(t,e)||{url:t}}setTransformRequest(t){this._transformRequestFn=t}}function m(t){var r=new e.A(3);return r[0]=t[0],r[1]=t[1],r[2]=t[2],r}var g,y=function(t,e,r){return t[0]=e[0]-r[0],t[1]=e[1]-r[1],t[2]=e[2]-r[2],t};g=new e.A(3),e.A!=Float32Array&&(g[0]=0,g[1]=0,g[2]=0);var v=function(t){var e=t[0],r=t[1];return e*e+r*r};function x(t){const e=[];if(\"string\"==typeof t)e.push({id:\"default\",url:t});else if(t&&t.length>0){const r=[];for(const{id:n,url:i}of t){const t=`${n}${i}`;-1===r.indexOf(t)&&(r.push(t),e.push({id:n,url:i}))}}return e}function _(t,e,r){const n=t.split(\"?\");return n[0]+=`${e}${r}`,n.join(\"?\")}function b(t,r,n,i){return e._(this,void 0,void 0,(function*(){const o=x(t),s=n>1?\"@2x\":\"\",l={},c={};for(const{id:t,url:n}of o){const a=r.transformRequest(_(n,s,\".json\"),\"SpriteJSON\");l[t]=e.h(a,i);const o=r.transformRequest(_(n,s,\".png\"),\"SpriteImage\");c[t]=p.getImage(o,i)}return yield Promise.all([...Object.values(l),...Object.values(c)]),function(t,r){return e._(this,void 0,void 0,(function*(){const e={};for(const n in t){e[n]={};const i=a.getImageCanvasContext((yield r[n]).data),o=(yield t[n]).data;for(const t in o){const{width:r,height:a,x:s,y:l,sdf:c,pixelRatio:u,stretchX:h,stretchY:f,content:p,textFitWidth:d,textFitHeight:m}=o[t],g={width:r,height:a,x:s,y:l,context:i};e[n][t]={data:null,pixelRatio:u,sdf:c,stretchX:h,stretchY:f,content:p,textFitWidth:d,textFitHeight:m,spriteData:g}}}return e}))}(l,c)}))}!function(){var t=new e.A(2);e.A!=Float32Array&&(t[0]=0,t[1]=0)}();class w{constructor(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)}update(t,r,n){const{width:i,height:a}=t,o=!(this.size&&this.size[0]===i&&this.size[1]===a||n),{context:s}=this,{gl:l}=s;if(this.useMipmap=Boolean(r&&r.useMipmap),l.bindTexture(l.TEXTURE_2D,this.texture),s.pixelStoreUnpackFlipY.set(!1),s.pixelStoreUnpack.set(1),s.pixelStoreUnpackPremultiplyAlpha.set(this.format===l.RGBA&&(!r||!1!==r.premultiply)),o)this.size=[i,a],t instanceof HTMLImageElement||t instanceof HTMLCanvasElement||t instanceof HTMLVideoElement||t instanceof ImageData||e.b(t)?l.texImage2D(l.TEXTURE_2D,0,this.format,this.format,l.UNSIGNED_BYTE,t):l.texImage2D(l.TEXTURE_2D,0,this.format,i,a,0,this.format,l.UNSIGNED_BYTE,t.data);else{const{x:r,y:o}=n||{x:0,y:0};t instanceof HTMLImageElement||t instanceof HTMLCanvasElement||t instanceof HTMLVideoElement||t instanceof ImageData||e.b(t)?l.texSubImage2D(l.TEXTURE_2D,0,r,o,l.RGBA,l.UNSIGNED_BYTE,t):l.texSubImage2D(l.TEXTURE_2D,0,r,o,i,a,l.RGBA,l.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&l.generateMipmap(l.TEXTURE_2D)}bind(t,e,r){const{context:n}=this,{gl:i}=n;i.bindTexture(i.TEXTURE_2D,this.texture),r!==i.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=i.LINEAR),t!==this.filter&&(i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MAG_FILTER,t),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_S,e),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_T,e),this.wrap=e)}isSizePowerOfTwo(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0}destroy(){const{gl:t}=this.context;t.deleteTexture(this.texture),this.texture=null}}function T(t){const{userImage:e}=t;return!!(e&&e.render&&e.render())&&(t.data.replace(new Uint8Array(e.data.buffer)),!0)}class k extends e.E{constructor(){super(),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new e.R({width:1,height:1}),this.dirty=!0}isLoaded(){return this.loaded}setLoaded(t){if(this.loaded!==t&&(this.loaded=t,t)){for(const{ids:t,promiseResolve:e}of this.requestors)e(this._getImagesForIds(t));this.requestors=[]}}getImage(t){const r=this.images[t];if(r&&!r.data&&r.spriteData){const t=r.spriteData;r.data=new e.R({width:t.width,height:t.height},t.context.getImageData(t.x,t.y,t.width,t.height).data),r.spriteData=null}return r}addImage(t,e){if(this.images[t])throw new Error(`Image id ${t} already exist, use updateImage instead`);this._validate(t,e)&&(this.images[t]=e)}_validate(t,r){let n=!0;const i=r.data||r.spriteData;return this._validateStretch(r.stretchX,i&&i.width)||(this.fire(new e.j(new Error(`Image \"${t}\" has invalid \"stretchX\" value`))),n=!1),this._validateStretch(r.stretchY,i&&i.height)||(this.fire(new e.j(new Error(`Image \"${t}\" has invalid \"stretchY\" value`))),n=!1),this._validateContent(r.content,r)||(this.fire(new e.j(new Error(`Image \"${t}\" has invalid \"content\" value`))),n=!1),n}_validateStretch(t,e){if(!t)return!0;let r=0;for(const n of t){if(n[0]{let n=!0;if(!this.isLoaded())for(const e of t)this.images[e]||(n=!1);this.isLoaded()||n?e(this._getImagesForIds(t)):this.requestors.push({ids:t,promiseResolve:e})}))}_getImagesForIds(t){const r={};for(const n of t){let t=this.getImage(n);t||(this.fire(new e.k(\"styleimagemissing\",{id:n})),t=this.getImage(n)),t?r[n]={data:t.data.clone(),pixelRatio:t.pixelRatio,sdf:t.sdf,version:t.version,stretchX:t.stretchX,stretchY:t.stretchY,content:t.content,textFitWidth:t.textFitWidth,textFitHeight:t.textFitHeight,hasRenderCallback:Boolean(t.userImage&&t.userImage.render)}:e.w(`Image \"${n}\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.`)}return r}getPixelSize(){const{width:t,height:e}=this.atlasImage;return{width:t,height:e}}getPattern(t){const r=this.patterns[t],n=this.getImage(t);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{const r={w:n.data.width+2,h:n.data.height+2,x:0,y:0},i=new e.I(r,n);this.patterns[t]={bin:r,position:i}}return this._updatePatternAtlas(),this.patterns[t].position}bind(t){const e=t.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new w(t,this.atlasImage,e.RGBA),this.atlasTexture.bind(e.LINEAR,e.CLAMP_TO_EDGE)}_updatePatternAtlas(){const t=[];for(const e in this.patterns)t.push(this.patterns[e].bin);const{w:r,h:n}=e.p(t),i=this.atlasImage;i.resize({width:r||1,height:n||1});for(const t in this.patterns){const{bin:r}=this.patterns[t],n=r.x+1,a=r.y+1,o=this.getImage(t).data,s=o.width,l=o.height;e.R.copy(o,i,{x:0,y:0},{x:n,y:a},{width:s,height:l}),e.R.copy(o,i,{x:0,y:l-1},{x:n,y:a-1},{width:s,height:1}),e.R.copy(o,i,{x:0,y:0},{x:n,y:a+l},{width:s,height:1}),e.R.copy(o,i,{x:s-1,y:0},{x:n-1,y:a},{width:1,height:l}),e.R.copy(o,i,{x:0,y:0},{x:n+s,y:a},{width:1,height:l})}this.dirty=!0}beginFrame(){this.callbackDispatchedThisFrame={}}dispatchRenderCallbacks(t){for(const r of t){if(this.callbackDispatchedThisFrame[r])continue;this.callbackDispatchedThisFrame[r]=!0;const t=this.getImage(r);t||e.w(`Image with ID: \"${r}\" was not found`),T(t)&&this.updateImage(r,t)}}}const A=1e20;function M(t,e,r,n,i,a,o,s,l){for(let c=e;c-1);l++,a[l]=s,o[l]=c,o[l+1]=A}for(let s=0,l=0;s65535)throw new Error(\"glyphs > 65535 not supported\");if(e.ranges[i])return{stack:t,id:r,glyph:n};if(!this.url)throw new Error(\"glyphsUrl is not set\");if(!e.requests[i]){const r=E.loadGlyphRange(t,i,this.url,this.requestManager);e.requests[i]=r}const a=yield e.requests[i];for(const t in a)this._doesCharSupportLocalGlyph(+t)||(e.glyphs[+t]=a[+t]);return e.ranges[i]=!0,{stack:t,id:r,glyph:a[r]||null}}))}_doesCharSupportLocalGlyph(t){return!!this.localIdeographFontFamily&&(e.u[\"CJK Unified Ideographs\"](t)||e.u[\"Hangul Syllables\"](t)||e.u.Hiragana(t)||e.u.Katakana(t))}_tinySDF(t,r,n){const i=this.localIdeographFontFamily;if(!i)return;if(!this._doesCharSupportLocalGlyph(n))return;let a=t.tinySDF;if(!a){let e=\"400\";/bold/i.test(r)?e=\"900\":/medium/i.test(r)?e=\"500\":/light/i.test(r)&&(e=\"200\"),a=t.tinySDF=new E.TinySDF({fontSize:48,buffer:6,radius:16,cutoff:.25,fontFamily:i,fontWeight:e})}const o=a.draw(String.fromCharCode(n));return{id:n,bitmap:new e.o({width:o.width||60,height:o.height||60},o.data),metrics:{width:o.glyphWidth/2||24,height:o.glyphHeight/2||24,left:o.glyphLeft/2+.5||0,top:o.glyphTop/2-27.5||-8,advance:o.glyphAdvance/2||24,isDoubleResolution:!0}}}}E.loadGlyphRange=function(t,r,n,i){return e._(this,void 0,void 0,(function*(){const a=256*r,o=a+255,s=i.transformRequest(n.replace(\"{fontstack}\",t).replace(\"{range}\",`${a}-${o}`),\"Glyphs\"),l=yield e.l(s,new AbortController);if(!l||!l.data)throw new Error(`Could not load glyph range. range: ${r}, ${a}-${o}`);const c={};for(const t of e.n(l.data))c[t.id]=t;return c}))},E.TinySDF=class{constructor({fontSize:t=24,buffer:e=3,radius:r=8,cutoff:n=.25,fontFamily:i=\"sans-serif\",fontWeight:a=\"normal\",fontStyle:o=\"normal\"}={}){this.buffer=e,this.cutoff=n,this.radius=r;const s=this.size=t+4*e,l=this._createCanvas(s),c=this.ctx=l.getContext(\"2d\",{willReadFrequently:!0});c.font=`${o} ${a} ${t}px ${i}`,c.textBaseline=\"alphabetic\",c.textAlign=\"left\",c.fillStyle=\"black\",this.gridOuter=new Float64Array(s*s),this.gridInner=new Float64Array(s*s),this.f=new Float64Array(s),this.z=new Float64Array(s+1),this.v=new Uint16Array(s)}_createCanvas(t){const e=document.createElement(\"canvas\");return e.width=e.height=t,e}draw(t){const{width:e,actualBoundingBoxAscent:r,actualBoundingBoxDescent:n,actualBoundingBoxLeft:i,actualBoundingBoxRight:a}=this.ctx.measureText(t),o=Math.ceil(r),s=Math.max(0,Math.min(this.size-this.buffer,Math.ceil(a-i))),l=Math.min(this.size-this.buffer,o+Math.ceil(n)),c=s+2*this.buffer,u=l+2*this.buffer,h=Math.max(c*u,0),f=new Uint8ClampedArray(h),p={data:f,width:c,height:u,glyphWidth:s,glyphHeight:l,glyphTop:o,glyphLeft:0,glyphAdvance:e};if(0===s||0===l)return p;const{ctx:d,buffer:m,gridInner:g,gridOuter:y}=this;d.clearRect(m,m,s,l),d.fillText(t,m,m+o);const v=d.getImageData(m,m,s,l);y.fill(A,0,h),g.fill(0,0,h);for(let t=0;t0?t*t:0,g[n]=t<0?t*t:0}}M(y,0,0,c,u,c,this.f,this.v,this.z),M(g,m,m,s,l,c,this.f,this.v,this.z);for(let t=0;t1&&(s=t[++o]);const l=Math.abs(i-s.left),c=Math.abs(i-s.right),u=Math.min(l,c);let h;const f=e/r*(n+1);if(s.isDash){const t=n-Math.abs(f);h=Math.sqrt(u*u+t*t)}else h=n-Math.sqrt(u*u+f*f);this.data[a+i]=Math.max(0,Math.min(255,h+128))}}}addRegularDash(t){for(let e=t.length-1;e>=0;--e){const 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))}const e=t[0],r=t[t.length-1];e.isDash===r.isDash&&(e.left=r.left-this.width,r.right=e.right+this.width);const n=this.width*this.nextRow;let i=0,a=t[i];for(let e=0;e1&&(a=t[++i]);const r=Math.abs(e-a.left),o=Math.abs(e-a.right),s=Math.min(r,o),l=a.isDash?s:-s;this.data[n+e]=Math.max(0,Math.min(255,l+128))}}addDash(t,r){const n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return e.w(\"LineAtlas out of space\"),null;let a=0;for(let e=0;e{t.terminate()})),this.workers=null)}isPreloaded(){return!!this.active[F]}numActive(){return Object.keys(this.active).length}}const N=Math.floor(a.hardwareConcurrency/2);let j,U;function V(){return j||(j=new B),j}B.workerCount=e.C(globalThis)?Math.max(Math.min(N,3),1):1;class q{constructor(t,r){this.workerPool=t,this.actors=[],this.currentActor=0,this.id=r;const n=this.workerPool.acquire(r);for(let t=0;t{t.remove()})),this.actors=[],t&&this.workerPool.release(this.id)}registerMessageHandler(t,e){for(const r of this.actors)r.registerMessageHandler(t,e)}}function H(){return U||(U=new q(V(),e.G),U.registerMessageHandler(\"GR\",((t,r,n)=>e.m(r,n)))),U}function G(t,r){const n=e.H();return e.J(n,n,[1,1,0]),e.K(n,n,[.5*t.width,.5*t.height,1]),e.L(n,n,t.calculatePosMatrix(r.toUnwrapped()))}function Z(t,e,r,n,i,a){const o=function(t,e,r){if(t)for(const n of t){const t=e[n];if(t&&t.source===r&&\"fill-extrusion\"===t.type)return!0}else for(const t in e){const n=e[t];if(n.source===r&&\"fill-extrusion\"===n.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(W);const c=[];for(const n of l)c.push({wrappedTileID:n.tileID.wrapped().key,queryResults:n.tile.queryRenderedFeatures(e,r,t._state,n.queryGeometry,n.cameraQueryGeometry,n.scale,i,a,s,G(t.transform,n.tileID))});const u=function(t){const e={},r={};for(const n of t){const t=n.queryResults,i=n.wrappedTileID,a=r[i]=r[i]||{};for(const r in t){const n=t[r],i=a[r]=a[r]||{},o=e[r]=e[r]||[];for(const t of n)i[t.featureIndex]||(i[t.featureIndex]=!0,o.push(t))}}return e}(c);for(const e in u)u[e].forEach((e=>{const 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 u}function W(t,e){const 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}function Y(t,r,n){return e._(this,void 0,void 0,(function*(){let i=t;if(t.url?i=(yield e.h(r.transformRequest(t.url,\"Source\"),n)).data:yield a.frameAsync(n),!i)return null;const o=e.M(e.e(i,t),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);return\"vector_layers\"in i&&i.vector_layers&&(o.vectorLayerIds=i.vector_layers.map((t=>t.id))),o}))}class X{constructor(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):Array.isArray(t)&&(4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1])))}setNorthEast(t){return this._ne=t instanceof e.N?new e.N(t.lng,t.lat):e.N.convert(t),this}setSouthWest(t){return this._sw=t instanceof e.N?new e.N(t.lng,t.lat):e.N.convert(t),this}extend(t){const r=this._sw,n=this._ne;let i,a;if(t instanceof e.N)i=t,a=t;else{if(!(t instanceof X)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){const e=t;return this.extend(X.convert(e))}{const r=t;return this.extend(e.N.convert(r))}}return t&&(\"lng\"in t||\"lon\"in t)&&\"lat\"in t?this.extend(e.N.convert(t)):this}if(i=t._sw,a=t._ne,!i||!a)return this}return r||n?(r.lng=Math.min(i.lng,r.lng),r.lat=Math.min(i.lat,r.lat),n.lng=Math.max(a.lng,n.lng),n.lat=Math.max(a.lat,n.lat)):(this._sw=new e.N(i.lng,i.lat),this._ne=new e.N(a.lng,a.lat)),this}getCenter(){return new e.N((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)}getSouthWest(){return this._sw}getNorthEast(){return this._ne}getNorthWest(){return new e.N(this.getWest(),this.getNorth())}getSouthEast(){return new e.N(this.getEast(),this.getSouth())}getWest(){return this._sw.lng}getSouth(){return this._sw.lat}getEast(){return this._ne.lng}getNorth(){return this._ne.lat}toArray(){return[this._sw.toArray(),this._ne.toArray()]}toString(){return`LngLatBounds(${this._sw.toString()}, ${this._ne.toString()})`}isEmpty(){return!(this._sw&&this._ne)}contains(t){const{lng:r,lat:n}=e.N.convert(t),i=this._sw.lat<=n&&n<=this._ne.lat;let 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}static convert(t){return t instanceof X?t:t?new X(t):t}static fromLngLat(t,r=0){const n=360*r/40075017,i=n/Math.cos(Math.PI/180*t.lat);return new X(new e.N(t.lng-i,t.lat-n),new e.N(t.lng+i,t.lat+n))}}class ${constructor(t,e,r){this.bounds=X.convert(this.validateBounds(t)),this.minzoom=e||0,this.maxzoom=r||24}validateBounds(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]}contains(t){const r=Math.pow(2,t.z),n=Math.floor(e.O(this.bounds.getWest())*r),i=Math.floor(e.Q(this.bounds.getNorth())*r),a=Math.ceil(e.O(this.bounds.getEast())*r),o=Math.ceil(e.Q(this.bounds.getSouth())*r);return t.x>=n&&t.x=i&&t.y{this._options.tiles=t})),this}setUrl(t){return this.setSourceProperty((()=>{this.url=t,this._options.url=t})),this}onRemove(){this._tileJSONRequest&&(this._tileJSONRequest.abort(),this._tileJSONRequest=null)}serialize(){return e.e({},this._options)}loadTile(t){return e._(this,void 0,void 0,(function*(){const e=t.tileID.canonical.url(this.tiles,this.map.getPixelRatio(),this.scheme),r={request:this.map._requestManager.transformRequest(e,\"Tile\"),uid:t.uid,tileID:t.tileID,zoom:t.tileID.overscaledZ,tileSize:this.tileSize*t.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:this.map.getPixelRatio(),showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};r.request.collectResourceTiming=this._collectResourceTiming;let n=\"RT\";if(t.actor&&\"expired\"!==t.state){if(\"loading\"===t.state)return new Promise(((e,r)=>{t.reloadPromise={resolve:e,reject:r}}))}else t.actor=this.dispatcher.getActor(),n=\"LT\";t.abortController=new AbortController;try{const e=yield t.actor.sendAsync({type:n,data:r},t.abortController);if(delete t.abortController,t.aborted)return;this._afterTileLoadWorkerResponse(t,e)}catch(e){if(delete t.abortController,t.aborted)return;if(e&&404!==e.status)throw e;this._afterTileLoadWorkerResponse(t,null)}}))}_afterTileLoadWorkerResponse(t,e){if(e&&e.resourceTiming&&(t.resourceTiming=e.resourceTiming),e&&this.map._refreshExpiredTiles&&t.setExpiryData(e),t.loadVectorData(e,this.map.painter),t.reloadPromise){const e=t.reloadPromise;t.reloadPromise=null,this.loadTile(t).then(e.resolve).catch(e.reject)}}abortTile(t){return e._(this,void 0,void 0,(function*(){t.abortController&&(t.abortController.abort(),delete t.abortController),t.actor&&(yield t.actor.sendAsync({type:\"AT\",data:{uid:t.uid,type:this.type,source:this.id}}))}))}unloadTile(t){return e._(this,void 0,void 0,(function*(){t.unloadVectorData(),t.actor&&(yield t.actor.sendAsync({type:\"RMT\",data:{uid:t.uid,type:this.type,source:this.id}}))}))}hasTransition(){return!1}}class K extends e.E{constructor(t,r,n,i){super(),this.id=t,this.dispatcher=n,this.setEventedParent(i),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=e.e({type:\"raster\"},r),e.e(this,e.M(r,[\"url\",\"scheme\",\"tileSize\"]))}load(){return e._(this,void 0,void 0,(function*(){this._loaded=!1,this.fire(new e.k(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=new AbortController;try{const t=yield Y(this._options,this.map._requestManager,this._tileJSONRequest);this._tileJSONRequest=null,this._loaded=!0,t&&(e.e(this,t),t.bounds&&(this.tileBounds=new $(t.bounds,this.minzoom,this.maxzoom)),this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}catch(t){this._tileJSONRequest=null,this.fire(new e.j(t))}}))}loaded(){return this._loaded}onAdd(t){this.map=t,this.load()}onRemove(){this._tileJSONRequest&&(this._tileJSONRequest.abort(),this._tileJSONRequest=null)}setSourceProperty(t){this._tileJSONRequest&&(this._tileJSONRequest.abort(),this._tileJSONRequest=null),t(),this.load()}setTiles(t){return this.setSourceProperty((()=>{this._options.tiles=t})),this}setUrl(t){return this.setSourceProperty((()=>{this.url=t,this._options.url=t})),this}serialize(){return e.e({},this._options)}hasTile(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)}loadTile(t){return e._(this,void 0,void 0,(function*(){const e=t.tileID.canonical.url(this.tiles,this.map.getPixelRatio(),this.scheme);t.abortController=new AbortController;try{const r=yield p.getImage(this.map._requestManager.transformRequest(e,\"Tile\"),t.abortController,this.map._refreshExpiredTiles);if(delete t.abortController,t.aborted)return void(t.state=\"unloaded\");if(r&&r.data){this.map._refreshExpiredTiles&&r.cacheControl&&r.expires&&t.setExpiryData({cacheControl:r.cacheControl,expires:r.expires});const e=this.map.painter.context,n=e.gl,i=r.data;t.texture=this.map.painter.getTileTexture(i.width),t.texture?t.texture.update(i,{useMipmap:!0}):(t.texture=new w(e,i,n.RGBA,{useMipmap:!0}),t.texture.bind(n.LINEAR,n.CLAMP_TO_EDGE,n.LINEAR_MIPMAP_NEAREST)),t.state=\"loaded\"}}catch(e){if(delete t.abortController,t.aborted)t.state=\"unloaded\";else if(e)throw t.state=\"errored\",e}}))}abortTile(t){return e._(this,void 0,void 0,(function*(){t.abortController&&(t.abortController.abort(),delete t.abortController)}))}unloadTile(t){return e._(this,void 0,void 0,(function*(){t.texture&&this.map.painter.saveTileTexture(t.texture)}))}hasTransition(){return!1}}class Q extends K{constructor(t,r,n,i){super(t,r,n,i),this.type=\"raster-dem\",this.maxzoom=22,this._options=e.e({type:\"raster-dem\"},r),this.encoding=r.encoding||\"mapbox\",this.redFactor=r.redFactor,this.greenFactor=r.greenFactor,this.blueFactor=r.blueFactor,this.baseShift=r.baseShift}loadTile(t){return e._(this,void 0,void 0,(function*(){const r=t.tileID.canonical.url(this.tiles,this.map.getPixelRatio(),this.scheme),n=this.map._requestManager.transformRequest(r,\"Tile\");t.neighboringTiles=this._getNeighboringTiles(t.tileID),t.abortController=new AbortController;try{const r=yield p.getImage(n,t.abortController,this.map._refreshExpiredTiles);if(delete t.abortController,t.aborted)return void(t.state=\"unloaded\");if(r&&r.data){const n=r.data;this.map._refreshExpiredTiles&&r.cacheControl&&r.expires&&t.setExpiryData({cacheControl:r.cacheControl,expires:r.expires});const i=e.b(n)&&e.U()?n:yield this.readImageNow(n),a={type:this.type,uid:t.uid,source:this.id,rawImageData:i,encoding:this.encoding,redFactor:this.redFactor,greenFactor:this.greenFactor,blueFactor:this.blueFactor,baseShift:this.baseShift};if(!t.actor||\"expired\"===t.state){t.actor=this.dispatcher.getActor();const e=yield t.actor.sendAsync({type:\"LDT\",data:a});t.dem=e,t.needsHillshadePrepare=!0,t.needsTerrainPrepare=!0,t.state=\"loaded\"}}}catch(e){if(delete t.abortController,t.aborted)t.state=\"unloaded\";else if(e)throw t.state=\"errored\",e}}))}readImageNow(t){return e._(this,void 0,void 0,(function*(){if(\"undefined\"!=typeof VideoFrame&&e.V()){const r=t.width+2,n=t.height+2;try{return new e.R({width:r,height:n},yield e.W(t,-1,-1,r,n))}catch(t){}}return a.getImageData(t,1)}))}_getNeighboringTiles(t){const r=t.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?t.wrap-1:t.wrap,o=(r.x+1+n)%n,s=r.x+1===n?t.wrap+1:t.wrap,l={};return l[new e.S(t.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new e.S(t.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new e.S(t.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new e.S(t.overscaledZ,t.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new e.S(t.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+10&&e.e(i,{resourceTiming:n}),this.fire(new e.k(\"data\",Object.assign(Object.assign({},i),{sourceDataType:\"metadata\"}))),this.fire(new e.k(\"data\",Object.assign(Object.assign({},i),{sourceDataType:\"content\"})))}catch(t){if(this._pendingLoads--,this._removed)return void this.fire(new e.k(\"dataabort\",{dataType:\"source\"}));this.fire(new e.j(t))}}))}loaded(){return 0===this._pendingLoads}loadTile(t){return e._(this,void 0,void 0,(function*(){const e=t.actor?\"RT\":\"LT\";t.actor=this.actor;const r={type:this.type,uid:t.uid,tileID:t.tileID,zoom:t.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:this.map.getPixelRatio(),showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};t.abortController=new AbortController;const n=yield this.actor.sendAsync({type:e,data:r},t.abortController);delete t.abortController,t.unloadVectorData(),t.aborted||t.loadVectorData(n,this.map.painter,\"RT\"===e)}))}abortTile(t){return e._(this,void 0,void 0,(function*(){t.abortController&&(t.abortController.abort(),delete t.abortController),t.aborted=!0}))}unloadTile(t){return e._(this,void 0,void 0,(function*(){t.unloadVectorData(),yield this.actor.sendAsync({type:\"RMT\",data:{uid:t.uid,type:this.type,source:this.id}})}))}onRemove(){this._removed=!0,this.actor.sendAsync({type:\"RS\",data:{type:this.type,source:this.id}})}serialize(){return e.e({},this._options,{type:this.type,data:this._data})}hasTransition(){return!1}}var et=e.Y([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]);class rt extends e.E{constructor(t,e,r,n){super(),this.id=t,this.dispatcher=r,this.coordinates=e.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(n),this.options=e}load(t){return e._(this,void 0,void 0,(function*(){this._loaded=!1,this.fire(new e.k(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,this._request=new AbortController;try{const e=yield p.getImage(this.map._requestManager.transformRequest(this.url,\"Image\"),this._request);this._request=null,this._loaded=!0,e&&e.data&&(this.image=e.data,t&&(this.coordinates=t),this._finishLoading())}catch(t){this._request=null,this._loaded=!0,this.fire(new e.j(t))}}))}loaded(){return this._loaded}updateImage(t){return t.url?(this._request&&(this._request.abort(),this._request=null),this.options.url=t.url,this.load(t.coordinates).finally((()=>{this.texture=null})),this):this}_finishLoading(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))}onAdd(t){this.map=t,this.load()}onRemove(){this._request&&(this._request.abort(),this._request=null)}setCoordinates(t){this.coordinates=t;const r=t.map(e.Z.fromLngLat);this.tileID=function(t){let r=1/0,n=1/0,i=-1/0,a=-1/0;for(const e of t)r=Math.min(r,e.x),n=Math.min(n,e.y),i=Math.max(i,e.x),a=Math.max(a,e.y);const o=i-r,s=a-n,l=Math.max(o,s),c=Math.max(0,Math.floor(-Math.log(l)/Math.LN2)),u=Math.pow(2,c);return new e.a1(c,Math.floor((r+i)/2*u),Math.floor((n+a)/2*u))}(r),this.minzoom=this.maxzoom=this.tileID.z;const n=r.map((t=>this.tileID.getTilePoint(t)._round()));return this._boundsArray=new e.$,this._boundsArray.emplaceBack(n[0].x,n[0].y,0,0),this._boundsArray.emplaceBack(n[1].x,n[1].y,e.X,0),this._boundsArray.emplaceBack(n[3].x,n[3].y,0,e.X),this._boundsArray.emplaceBack(n[2].x,n[2].y,e.X,e.X),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this}prepare(){if(0===Object.keys(this.tiles).length||!this.image)return;const t=this.map.painter.context,r=t.gl;this.boundsBuffer||(this.boundsBuffer=t.createVertexBuffer(this._boundsArray,et.members)),this.boundsSegments||(this.boundsSegments=e.a0.simpleSegment(0,0,4,2)),this.texture||(this.texture=new w(t,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE));let n=!1;for(const t in this.tiles){const e=this.tiles[t];\"loaded\"!==e.state&&(e.state=\"loaded\",e.texture=this.texture,n=!0)}n&&this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"idle\",sourceId:this.id}))}loadTile(t){return e._(this,void 0,void 0,(function*(){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={}):t.state=\"errored\"}))}serialize(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}}hasTransition(){return!1}}class nt extends rt{constructor(t,e,r,n){super(t,e,r,n),this.roundZoom=!0,this.type=\"video\",this.options=e}load(){return e._(this,void 0,void 0,(function*(){this._loaded=!1;const t=this.options;this.urls=[];for(const e of t.urls)this.urls.push(this.map._requestManager.transformRequest(e,\"Source\").url);try{const t=yield e.a3(this.urls);if(this._loaded=!0,!t)return;this.video=t,this.video.loop=!0,this.video.addEventListener(\"playing\",(()=>{this.map.triggerRepaint()})),this.map&&this.video.play(),this._finishLoading()}catch(t){this.fire(new e.j(t))}}))}pause(){this.video&&this.video.pause()}play(){this.video&&this.video.play()}seek(t){if(this.video){const r=this.video.seekable;tr.end(0)?this.fire(new e.j(new e.a2(`sources.${this.id}`,null,`Playback for this video can be set only between the ${r.start(0)} and ${r.end(0)}-second mark.`))):this.video.currentTime=t}}getVideo(){return this.video}onAdd(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))}prepare(){if(0===Object.keys(this.tiles).length||this.video.readyState<2)return;const t=this.map.painter.context,r=t.gl;this.boundsBuffer||(this.boundsBuffer=t.createVertexBuffer(this._boundsArray,et.members)),this.boundsSegments||(this.boundsSegments=e.a0.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new w(t,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE));let n=!1;for(const t in this.tiles){const e=this.tiles[t];\"loaded\"!==e.state&&(e.state=\"loaded\",e.texture=this.texture,n=!0)}n&&this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"idle\",sourceId:this.id}))}serialize(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}}hasTransition(){return this.video&&!this.video.paused}}class it extends rt{constructor(t,r,n,i){super(t,r,n,i),r.coordinates?Array.isArray(r.coordinates)&&4===r.coordinates.length&&!r.coordinates.some((t=>!Array.isArray(t)||2!==t.length||t.some((t=>\"number\"!=typeof t))))||this.fire(new e.j(new e.a2(`sources.${t}`,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new e.j(new e.a2(`sources.${t}`,null,'missing required property \"coordinates\"'))),r.animate&&\"boolean\"!=typeof r.animate&&this.fire(new e.j(new e.a2(`sources.${t}`,null,'optional \"animate\" property must be a boolean value'))),r.canvas?\"string\"==typeof r.canvas||r.canvas instanceof HTMLCanvasElement||this.fire(new e.j(new e.a2(`sources.${t}`,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new e.j(new e.a2(`sources.${t}`,null,'missing required property \"canvas\"'))),this.options=r,this.animate=void 0===r.animate||r.animate}load(){return e._(this,void 0,void 0,(function*(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof HTMLCanvasElement?this.options.canvas:document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new e.j(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())}))}getCanvas(){return this.canvas}onAdd(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()}onRemove(){this.pause()}prepare(){let t=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,t=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,t=!0),this._hasInvalidDimensions())return;if(0===Object.keys(this.tiles).length)return;const r=this.map.painter.context,n=r.gl;this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,et.members)),this.boundsSegments||(this.boundsSegments=e.a0.simpleSegment(0,0,4,2)),this.texture?(t||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new w(r,this.canvas,n.RGBA,{premultiply:!0});let i=!1;for(const t in this.tiles){const e=this.tiles[t];\"loaded\"!==e.state&&(e.state=\"loaded\",e.texture=this.texture,i=!0)}i&&this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"idle\",sourceId:this.id}))}serialize(){return{type:\"canvas\",coordinates:this.coordinates}}hasTransition(){return this._playing}_hasInvalidDimensions(){for(const t of[this.canvas.width,this.canvas.height])if(isNaN(t)||t<=0)return!0;return!1}}const at={},ot=t=>{switch(t){case\"geojson\":return tt;case\"image\":return rt;case\"raster\":return K;case\"raster-dem\":return Q;case\"vector\":return J;case\"video\":return nt;case\"canvas\":return it}return at[t]};const st=\"RTLPluginLoaded\";class lt extends e.E{constructor(){super(...arguments),this.status=\"unavailable\",this.url=null,this.dispatcher=H()}_syncState(t){return this.status=t,this.dispatcher.broadcast(\"SRPS\",{pluginStatus:t,pluginURL:this.url}).catch((t=>{throw this.status=\"error\",t}))}getRTLTextPluginStatus(){return this.status}clearRTLTextPlugin(){this.status=\"unavailable\",this.url=null}setRTLTextPlugin(t){return e._(this,arguments,void 0,(function*(t,e=!1){if(this.url)throw new Error(\"setRTLTextPlugin cannot be called multiple times.\");if(this.url=a.resolveURL(t),!this.url)throw new Error(`requested url ${t} is invalid`);if(\"unavailable\"===this.status){if(!e)return this._requestImport();this.status=\"deferred\",this._syncState(this.status)}else if(\"requested\"===this.status)return this._requestImport()}))}_requestImport(){return e._(this,void 0,void 0,(function*(){yield this._syncState(\"loading\"),this.status=\"loaded\",this.fire(new e.k(st))}))}lazyLoad(){\"unavailable\"===this.status?this.status=\"requested\":\"deferred\"===this.status&&this._requestImport()}}let ct=null;function ut(){return ct||(ct=new lt),ct}class ht{constructor(t,r){this.timeAdded=0,this.fadeEndTime=0,this.tileID=t,this.uid=e.a4(),this.uses=0,this.tileSize=r,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.rtt=[],this.rttCoords={},this.expiredRequestCount=0,this.state=\"loading\"}registerFadeDuration(t){const e=t+this.timeAdded;ee.getLayer(t))).filter(Boolean);if(0!==t.length){n.layers=t,n.stateDependentLayerIds&&(n.stateDependentLayers=n.stateDependentLayerIds.map((e=>t.filter((t=>t.id===e))[0])));for(const e of t)r[e.id]=n}}return r}(t.buckets,r.style),this.hasSymbolBuckets=!1;for(const t in this.buckets){const r=this.buckets[t];if(r instanceof e.a6){if(this.hasSymbolBuckets=!0,!n)break;r.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(const t in this.buckets){const r=this.buckets[t];if(r instanceof e.a6&&r.hasRTLText){this.hasRTLText=!0,ut().lazyLoad();break}}this.queryPadding=0;for(const t in this.buckets){const e=this.buckets[t];this.queryPadding=Math.max(this.queryPadding,r.style.getLayer(t).queryRadius(e))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new e.a5}unloadVectorData(){for(const 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\"}getBucket(t){return this.buckets[t.id]}upload(t){for(const e in this.buckets){const r=this.buckets[e];r.uploadPending()&&r.upload(t)}const e=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new w(t,this.imageAtlas.image,e.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new w(t,this.glyphAtlasImage,e.ALPHA),this.glyphAtlasImage=null)}prepare(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)}queryRenderedFeatures(t,e,r,n,i,a,o,s,l,c){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:c,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}}querySourceFeatures(t,r){const n=this.latestFeatureIndex;if(!n||!n.rawTileData)return;const i=n.loadVTLayers(),a=r&&r.sourceLayer?r.sourceLayer:\"\",o=i._geojsonTileLayer||i[a];if(!o)return;const s=e.a7(r&&r.filter),{z:l,x:c,y:u}=this.tileID.canonical,h={z:l,x:c,y:u};for(let r=0;rt)e=!1;else if(r)if(this.expirationTime{this.remove(t,i)}),r)),this.data[n].push(i),this.order.push(n),this.order.length>this.max){const t=this._getAndRemoveByKey(this.order[0]);t&&this.onRemove(t)}return this}has(t){return t.wrapped().key in this.data}getAndRemove(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null}_getAndRemoveByKey(t){const 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}getByKey(t){const e=this.data[t];return e?e[0].value:null}get(t){return this.has(t)?this.data[t.wrapped().key][0].value:null}remove(t,e){if(!this.has(t))return this;const 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}setMaxSize(t){for(this.max=t;this.order.length>this.max;){const t=this._getAndRemoveByKey(this.order[0]);t&&this.onRemove(t)}return this}filter(t){const e=[];for(const r in this.data)for(const n of this.data[r])t(n.value)||e.push(n);for(const t of e)this.remove(t.value.tileID,t)}}class pt{constructor(){this.state={},this.stateChanges={},this.deletedStates={}}updateState(t,r,n){const i=String(r);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][i]=this.stateChanges[t][i]||{},e.e(this.stateChanges[t][i],n),null===this.deletedStates[t]){this.deletedStates[t]={};for(const e in this.state[t])e!==i&&(this.deletedStates[t][e]=null)}else if(this.deletedStates[t]&&null===this.deletedStates[t][i]){this.deletedStates[t][i]={};for(const e in this.state[t][i])n[e]||(this.deletedStates[t][i][e]=null)}else for(const e in n)this.deletedStates[t]&&this.deletedStates[t][i]&&null===this.deletedStates[t][i][e]&&delete this.deletedStates[t][i][e]}removeFeatureState(t,e,r){if(null===this.deletedStates[t])return;const 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}getState(t,r){const n=String(r),i=this.state[t]||{},a=this.stateChanges[t]||{},o=e.e({},i[n],a[n]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){const e=this.deletedStates[t][r];if(null===e)return{};for(const t in e)delete o[t]}return o}initializeTileState(t,e){t.setFeatureState(this.state,e)}coalesceChanges(t,r){const n={};for(const t in this.stateChanges){this.state[t]=this.state[t]||{};const r={};for(const n in this.stateChanges[t])this.state[t][n]||(this.state[t][n]={}),e.e(this.state[t][n],this.stateChanges[t][n]),r[n]=this.state[t][n];n[t]=r}for(const t in this.deletedStates){this.state[t]=this.state[t]||{};const r={};if(null===this.deletedStates[t])for(const e in this.state[t])r[e]={},this.state[t][e]={};else for(const e in this.deletedStates[t]){if(null===this.deletedStates[t][e])this.state[t][e]={};else for(const r of Object.keys(this.deletedStates[t][e]))delete this.state[t][e][r];r[e]=this.state[t][e]}n[t]=n[t]||{},e.e(n[t],r)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(n).length)for(const e in t)t[e].setFeatureState(n,r)}}class dt extends e.E{constructor(t,e,r){super(),this.id=t,this.dispatcher=r,this.on(\"data\",(t=>this._dataHandler(t))),this.on(\"dataloading\",(()=>{this._sourceErrored=!1})),this.on(\"error\",(()=>{this._sourceErrored=this._source.loaded()})),this._source=((t,e,r,n)=>{const i=new(ot(e.type))(t,e,r,n);if(i.id!==t)throw new Error(`Expected Source id to be ${t} instead of ${i.id}`);return i})(t,e,r,this),this._tiles={},this._cache=new ft(0,(t=>this._unloadTile(t))),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._maxTileCacheZoomLevels=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new pt,this._didEmitContent=!1,this._updated=!1}onAdd(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._maxTileCacheZoomLevels=t?t._maxTileCacheZoomLevels:null,this._source&&this._source.onAdd&&this._source.onAdd(t)}onRemove(t){this.clearTiles(),this._source&&this._source.onRemove&&this._source.onRemove(t)}loaded(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;if(!(void 0===this.used&&void 0===this.usedForTerrain||this.used||this.usedForTerrain))return!0;if(!this._updated)return!1;for(const t in this._tiles){const e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0}getSource(){return this._source}pause(){this._paused=!0}resume(){if(!this._paused)return;const t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform,this.terrain)}_loadTile(t,r,n){return e._(this,void 0,void 0,(function*(){try{yield this._source.loadTile(t),this._tileLoaded(t,r,n)}catch(r){t.state=\"errored\",404!==r.status?this._source.fire(new e.j(r,{tile:t})):this.update(this.transform,this.terrain)}}))}_unloadTile(t){this._source.unloadTile&&this._source.unloadTile(t)}_abortTile(t){this._source.abortTile&&this._source.abortTile(t),this._source.fire(new e.k(\"dataabort\",{tile:t,coord:t.tileID,dataType:\"source\"}))}serialize(){return this._source.serialize()}prepare(t){this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null);for(const e in this._tiles){const r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}}getIds(){return Object.values(this._tiles).map((t=>t.tileID)).sort(mt).map((t=>t.key))}getRenderableIds(t){const r=[];for(const e in this._tiles)this._isIdRenderable(e,t)&&r.push(this._tiles[e]);return t?r.sort(((t,r)=>{const n=t.tileID,i=r.tileID,a=new e.P(n.canonical.x,n.canonical.y)._rotate(this.transform.angle),o=new e.P(i.canonical.x,i.canonical.y)._rotate(this.transform.angle);return n.overscaledZ-i.overscaledZ||o.y-a.y||o.x-a.x})).map((t=>t.tileID.key)):r.map((t=>t.tileID)).sort(mt).map((t=>t.key))}hasRenderableParent(t){const e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)}_isIdRenderable(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())}reload(){if(this._paused)this._shouldReloadOnResume=!0;else{this._cache.reset();for(const t in this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")}}_reloadTile(t,r){return e._(this,void 0,void 0,(function*(){const e=this._tiles[t];e&&(\"loading\"!==e.state&&(e.state=r),yield this._loadTile(e,t,r))}))}_tileLoaded(t,r,n){t.timeAdded=a.now(),\"expired\"===n&&(t.refreshedUponExpiration=!0),this._setTileReloadTimer(r,t),\"raster-dem\"===this.getSource().type&&t.dem&&this._backfillDEM(t),this._state.initializeTileState(t,this.map?this.map.painter:null),t.aborted||this._source.fire(new e.k(\"data\",{dataType:\"source\",tile:t,coord:t.tileID}))}_backfillDEM(t){const e=this.getRenderableIds();for(let n=0;n1||(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)))}}getTile(t){return this.getTileByID(t.key)}getTileByID(t){return this._tiles[t]}_retainLoadedChildren(t,e,r,n){for(const i in this._tiles){let a=this._tiles[i];if(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)continue;let o=a.tileID;for(;a&&a.tileID.overscaledZ>e+1;){const t=a.tileID.scaledTo(a.tileID.overscaledZ-1);a=this._tiles[t.key],a&&a.hasData()&&(o=t)}let s=o;for(;s.overscaledZ>e;)if(s=s.scaledTo(s.overscaledZ-1),t[s.key]){n[o.key]=o;break}}}findLoadedParent(t,e){if(t.key in this._loadedParentTiles){const r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(let r=t.overscaledZ-1;r>=e;r--){const e=t.scaledTo(r),n=this._getLoadedTile(e);if(n)return n}}findLoadedSibling(t){return this._getLoadedTile(t)}_getLoadedTile(t){const e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)}updateCacheSize(t){const r=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),n=null===this._maxTileCacheZoomLevels?e.a.MAX_TILE_CACHE_ZOOM_LEVELS:this._maxTileCacheZoomLevels,i=Math.floor(r*n),a=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,i):i;this._cache.setMaxSize(a)}handleWrapJump(t){const e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){const t={};for(const e in this._tiles){const n=this._tiles[e];n.tileID=n.tileID.unwrapTo(n.tileID.wrap+r),t[n.tileID.key]=n}this._tiles=t;for(const t in this._timers)clearTimeout(this._timers[t]),delete this._timers[t];for(const t in this._tiles){const e=this._tiles[t];this._setTileReloadTimer(t,e)}}}_updateCoveredAndRetainedTiles(t,e,r,n,i,o){const s={},l={},c=Object.keys(t),u=a.now();for(const r of c){const n=t[r],i=this._tiles[r];if(!i||0!==i.fadeEndTime&&i.fadeEndTime<=u)continue;const a=this.findLoadedParent(n,e),o=this.findLoadedSibling(n),c=a||o||null;c&&(this._addTile(c.tileID),s[c.tileID.key]=c.tileID),l[r]=n}this._retainLoadedChildren(l,n,r,t);for(const e in s)t[e]||(this._coveredTiles[e]=!0,t[e]=s[e]);if(o){const e={},r={};for(const t of i)this._tiles[t.key].hasData()?e[t.key]=t:r[t.key]=t;for(const n in r){const i=r[n].children(this._source.maxzoom);this._tiles[i[0].key]&&this._tiles[i[1].key]&&this._tiles[i[2].key]&&this._tiles[i[3].key]&&(e[i[0].key]=t[i[0].key]=i[0],e[i[1].key]=t[i[1].key]=i[1],e[i[2].key]=t[i[2].key]=i[2],e[i[3].key]=t[i[3].key]=i[3],delete r[n])}for(const n in r){const i=r[n],a=this.findLoadedParent(i,this._source.minzoom),o=this.findLoadedSibling(i),s=a||o||null;if(s){e[s.tileID.key]=t[s.tileID.key]=s.tileID;for(const t in e)e[t].isChildOf(s.tileID)&&delete e[t]}}for(const t in this._tiles)e[t]||(this._coveredTiles[t]=!0)}}update(t,r){if(!this._sourceLoaded||this._paused)return;let n;this.transform=t,this.terrain=r,this.updateCacheSize(t),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used||this.usedForTerrain?this._source.tileID?n=t.getVisibleUnwrappedCoordinates(this._source.tileID).map((t=>new e.S(t.canonical.z,t.wrap,t.canonical.z,t.canonical.x,t.canonical.y))):(n=t.coveringTiles({tileSize:this.usedForTerrain?this.tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:!this.usedForTerrain&&this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled,terrain:r}),this._source.hasTile&&(n=n.filter((t=>this._source.hasTile(t))))):n=[];const i=t.coveringZoomLevel(this._source),a=Math.max(i-dt.maxOverzooming,this._source.minzoom),o=Math.max(i+dt.maxUnderzooming,this._source.minzoom);if(this.usedForTerrain){const t={};for(const e of n)if(e.canonical.z>this._source.minzoom){const r=e.scaledTo(e.canonical.z-1);t[r.key]=r;const n=e.scaledTo(Math.max(this._source.minzoom,Math.min(e.canonical.z,5)));t[n.key]=n}n=n.concat(Object.values(t))}const s=0===n.length&&!this._updated&&this._didEmitContent;this._updated=!0,s&&this.fire(new e.k(\"data\",{sourceDataType:\"idle\",dataType:\"source\",sourceId:this.id}));const l=this._updateRetainedTiles(n,i);gt(this._source.type)&&this._updateCoveredAndRetainedTiles(l,a,o,i,n,r);for(const t in l)this._tiles[t].clearFadeHold();const c=e.ac(this._tiles,l);for(const t of c){const e=this._tiles[t];e.hasSymbolBuckets&&!e.holdingForFade()?e.setHoldDuration(this.map._fadeDuration):e.hasSymbolBuckets&&!e.symbolFadeFinished()||this._removeTile(t)}this._updateLoadedParentTileCache(),this._updateLoadedSiblingTileCache()}releaseSymbolFadeTiles(){for(const t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)}_updateRetainedTiles(t,e){var r;const n={},i={},a=Math.max(e-dt.maxOverzooming,this._source.minzoom),o=Math.max(e+dt.maxUnderzooming,this._source.minzoom),s={};for(const r of t){const t=this._addTile(r);n[r.key]=r,t.hasData()||ethis._source.maxzoom){const t=o.children(this._source.maxzoom)[0],e=this.getTile(t);if(e&&e.hasData()){n[t.key]=t;continue}}else{const t=o.children(this._source.maxzoom);if(n[t[0].key]&&n[t[1].key]&&n[t[2].key]&&n[t[3].key])continue}let s=t.wasRequested();for(let e=o.overscaledZ-1;e>=a;--e){const a=o.scaledTo(e);if(i[a.key])break;if(i[a.key]=!0,t=this.getTile(a),!t&&s&&(t=this._addTile(a)),t){const e=t.hasData();if((e||!(null===(r=this.map)||void 0===r?void 0:r.cancelPendingTileRequestsWhileZooming)||s)&&(n[a.key]=a),s=t.wasRequested(),e)break}}}return n}_updateLoadedParentTileCache(){this._loadedParentTiles={};for(const t in this._tiles){const e=[];let r,n=this._tiles[t].tileID;for(;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);const t=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(t),r)break;n=t}for(const t of e)this._loadedParentTiles[t]=r}}_updateLoadedSiblingTileCache(){this._loadedSiblingTiles={};for(const t in this._tiles){const e=this._tiles[t].tileID,r=this._getLoadedTile(e);this._loadedSiblingTiles[e.key]=r}}_addTile(t){let r=this._tiles[t.key];if(r)return r;r=this._cache.getAndRemove(t),r&&(this._setTileReloadTimer(t.key,r),r.tileID=t,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[t.key]&&(clearTimeout(this._cacheTimers[t.key]),delete this._cacheTimers[t.key],this._setTileReloadTimer(t.key,r)));const n=r;return r||(r=new ht(t,this._source.tileSize*t.overscaleFactor()),this._loadTile(r,t.key,r.state)),r.uses++,this._tiles[t.key]=r,n||this._source.fire(new e.k(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r}_setTileReloadTimer(t,e){t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);const r=e.getExpiryTimeout();r&&(this._timers[t]=setTimeout((()=>{this._reloadTile(t,\"expired\"),delete this._timers[t]}),r))}_removeTile(t){const 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))))}_dataHandler(t){const e=t.sourceDataType;\"source\"===t.dataType&&\"metadata\"===e&&(this._sourceLoaded=!0),this._sourceLoaded&&!this._paused&&\"source\"===t.dataType&&\"content\"===e&&(this.reload(),this.transform&&this.update(this.transform,this.terrain),this._didEmitContent=!0)}clearTiles(){this._shouldReloadOnResume=!1,this._paused=!1;for(const t in this._tiles)this._removeTile(t);this._cache.reset()}tilesIn(t,r,n){const i=[],a=this.transform;if(!a)return i;const o=n?a.getCameraQueryGeometry(t):t,s=t.map((t=>a.pointCoordinate(t,this.terrain))),l=o.map((t=>a.pointCoordinate(t,this.terrain))),c=this.getIds();let u=1/0,h=1/0,f=-1/0,p=-1/0;for(const t of l)u=Math.min(u,t.x),h=Math.min(h,t.y),f=Math.max(f,t.x),p=Math.max(p,t.y);for(let t=0;t=0&&g[1].y+m>=0){const t=s.map((t=>o.getTilePoint(t))),e=l.map((t=>o.getTilePoint(t)));i.push({tile:n,tileID:o,queryGeometry:t,cameraQueryGeometry:e,scale:d})}}return i}getVisibleCoordinates(t){const e=this.getRenderableIds(t).map((t=>this._tiles[t].tileID));for(const t of e)t.posMatrix=this.transform.calculatePosMatrix(t.toUnwrapped());return e}hasTransition(){if(this._source.hasTransition())return!0;if(gt(this._source.type)){const t=a.now();for(const e in this._tiles)if(this._tiles[e].fadeEndTime>=t)return!0}return!1}setFeatureState(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)}removeFeatureState(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)}getFeatureState(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)}setDependencies(t,e,r){const n=this._tiles[t];n&&n.setDependencies(e,r)}reloadTilesForDependencies(t,e){for(const r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\");this._cache.filter((r=>!r.hasDependency(t,e)))}}function mt(t,e){const 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 gt(t){return\"raster\"===t||\"image\"===t||\"video\"===t}dt.maxOverzooming=10,dt.maxUnderzooming=3;class yt{constructor(t,e){this.reset(t,e)}reset(t,e){this.points=t||[],this._distances=[0];for(let t=1;t0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))}}function vt(t,e){let r=!0;return\"always\"===t||\"never\"!==t&&\"never\"!==e||(r=!1),r}class xt{constructor(t,e,r){const n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(let t=0;tthis.width||n<0||e>this.height)return[];const s=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return[{key:null,x1:t,y1:e,x2:r,y2:n}];for(let t=0;t0}hitTestCircle(t,e,r,n,i){const a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!1;const c=[],u={hitTest:!0,overlapMode:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,c,u,i),c.length>0}_queryCell(t,e,r,n,i,a,o,s){const{seenUids:l,hitTest:c,overlapMode:u}=o,h=this.boxCells[i];if(null!==h){const i=this.bboxes;for(const o of h)if(!l.box[o]){l.box[o]=!0;const h=4*o,f=this.boxKeys[o];if(t<=i[h+2]&&e<=i[h+3]&&r>=i[h+0]&&n>=i[h+1]&&(!s||s(f))&&(!c||!vt(u,f.overlapMode))&&(a.push({key:f,x1:i[h],y1:i[h+1],x2:i[h+2],y2:i[h+3]}),c))return!0}}const f=this.circleCells[i];if(null!==f){const i=this.circles;for(const o of f)if(!l.circle[o]){l.circle[o]=!0;const h=3*o,f=this.circleKeys[o];if(this._circleAndRectCollide(i[h],i[h+1],i[h+2],t,e,r,n)&&(!s||s(f))&&(!c||!vt(u,f.overlapMode))){const t=i[h],e=i[h+1],r=i[h+2];if(a.push({key:f,x1:t-r,y1:e-r,x2:t+r,y2:e+r}),c)return!0}}}return!1}_queryCellCircle(t,e,r,n,i,a,o,s){const{circle:l,seenUids:c,overlapMode:u}=o,h=this.boxCells[i];if(null!==h){const t=this.bboxes;for(const e of h)if(!c.box[e]){c.box[e]=!0;const r=4*e,n=this.boxKeys[e];if(this._circleAndRectCollide(l.x,l.y,l.radius,t[r+0],t[r+1],t[r+2],t[r+3])&&(!s||s(n))&&!vt(u,n.overlapMode))return a.push(!0),!0}}const f=this.circleCells[i];if(null!==f){const t=this.circles;for(const e of f)if(!c.circle[e]){c.circle[e]=!0;const r=3*e,n=this.circleKeys[e];if(this._circlesCollide(t[r],t[r+1],t[r+2],l.x,l.y,l.radius)&&(!s||s(n))&&!vt(u,n.overlapMode))return a.push(!0),!0}}}_forEachCell(t,e,r,n,i,a,o,s){const l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),h=this._convertToYCellCoord(n);for(let f=l;f<=u;f++)for(let l=c;l<=h;l++){const c=this.xCellCount*l+f;if(i.call(this,t,e,r,n,c,a,o,s))return}}_convertToXCellCoord(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))}_convertToYCellCoord(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))}_circlesCollide(t,e,r,n,i,a){const o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s}_circleAndRectCollide(t,e,r,n,i,a,o){const s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;const c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;const h=l-s,f=u-c;return h*h+f*f<=r*r}}function _t(t,r,n,i,a){const o=e.H();return r?(e.K(o,o,[1/a,1/a,1]),n||e.ae(o,o,i.angle)):e.L(o,i.labelPlaneMatrix,t),o}function bt(t,r,n,i,a){if(r){const r=e.af(t);return e.K(r,r,[a,a,1]),n||e.ae(r,r,-i.angle),r}return i.glCoordMatrix}function wt(t,r,n){let i;n?(i=[t.x,t.y,n(t.x,t.y),1],e.ag(i,i,r)):(i=[t.x,t.y,0,1],function(t,e,r){const n=e[0],i=e[1];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]}(i,i,r));const a=i[3];return{point:new e.P(i[0]/a,i[1]/a),signedDistanceFromCamera:a,isOccluded:!1}}function Tt(t,e){return.5+t/e*.5}function kt(t,e){return t.x>=-e[0]&&t.x<=e[0]&&t.y>=-e[1]&&t.y<=e[1]}function At(t,r,n,i,a,o,s,l,c,u,h,f,p,d,m){const g=i?t.textSizeData:t.iconSizeData,y=e.ah(g,n.transform.zoom),v=[256/n.width*2+1,256/n.height*2+1],x=i?t.text.dynamicLayoutVertexArray:t.icon.dynamicLayoutVertexArray;x.clear();const _=t.lineVertexArray,b=i?t.text.placedSymbolArray:t.icon.placedSymbolArray,w=n.transform.width/n.transform.height;let T=!1;for(let i=0;iMath.abs(n.x-r.x)*i?{useVertical:!0}:(t===e.ai.vertical?r.yn.x)?{needsFlipping:!0}:null}function Et(t,r,n,i,a,o,s,l,c,u,h){const f=n/24,p=r.lineOffsetX*f,d=r.lineOffsetY*f;let m;if(r.numGlyphs>1){const e=r.glyphStartIndex+r.numGlyphs,n=r.lineStartIndex,o=r.lineStartIndex+r.lineLength,c=Mt(f,l,p,d,i,r,h,t);if(!c)return{notEnoughRoom:!0};const g=wt(c.first.point,s,t.getElevation).point,y=wt(c.last.point,s,t.getElevation).point;if(a&&!i){const t=St(r.writingMode,g,y,u);if(t)return t}m=[c.first];for(let a=r.glyphStartIndex+1;a0?s.point:function(t,e,r,n,i,a){return Ct(t,e,r,n,i,a)}(t.tileAnchorPoint,a,n,1,o,t),c=St(r.writingMode,n,l,u);if(c)return c}const n=Ot(f*l.getoffsetX(r.glyphStartIndex),p,d,i,r.segment,r.lineStartIndex,r.lineStartIndex+r.lineLength,t,h);if(!n||t.projectionCache.anyProjectionOccluded)return{notEnoughRoom:!0};m=[n]}for(const t of m)e.ak(c,t.point,t.angle);return{}}function Ct(t,e,r,n,i,a){const o=t.add(t.sub(e)._unit()),s=void 0!==i?wt(o,i,a.getElevation).point:It(o.x,o.y,a).point,l=r.sub(s);return r.add(l._mult(n/l.mag()))}function Lt(t,r,n){const i=r.projectionCache;if(i.projections[t])return i.projections[t];const a=new e.P(r.lineVertexArray.getx(t),r.lineVertexArray.gety(t)),o=It(a.x,a.y,r);if(o.signedDistanceFromCamera>0)return i.projections[t]=o.point,i.anyProjectionOccluded=i.anyProjectionOccluded||o.isOccluded,o.point;const s=t-n.direction,l=0===n.distanceFromAnchor?r.tileAnchorPoint:new e.P(r.lineVertexArray.getx(s),r.lineVertexArray.gety(s)),c=n.absOffsetX-n.distanceFromAnchor+1;return function(t,e,r,n,i){return Ct(t,e,r,n,void 0,i)}(l,a,n.previousVertex,c,r)}function It(t,r,n){const i=t+n.translation[0],a=r+n.translation[1];let o;return!n.pitchWithMap&&n.projection.useSpecialProjectionForSymbols?(o=n.projection.projectTileCoordinates(i,a,n.unwrappedTileID,n.getElevation),o.point.x=(.5*o.point.x+.5)*n.width,o.point.y=(.5*-o.point.y+.5)*n.height):(o=wt(new e.P(i,a),n.labelPlaneMatrix,n.getElevation),o.isOccluded=!1),o}function Pt(t,e,r){return t._unit()._perp()._mult(e*r)}function zt(t,r,n,i,a,o,s,l,c){if(l.projectionCache.offsets[t])return l.projectionCache.offsets[t];const u=n.add(r);if(t+c.direction=a)return l.projectionCache.offsets[t]=u,u;const h=Lt(t+c.direction,l,c),f=Pt(h.sub(n),s,c.direction),p=n.add(f),d=h.add(f);return l.projectionCache.offsets[t]=e.al(o,u,p,d)||u,l.projectionCache.offsets[t]}function Ot(t,e,r,n,i,a,o,s,l){const c=n?t-e:t+e;let u=c>0?1:-1,h=0;n&&(u*=-1,h=Math.PI),u<0&&(h+=Math.PI);let f,p=u>0?a+i:a+i+1;s.projectionCache.cachedAnchorPoint?f=s.projectionCache.cachedAnchorPoint:(f=It(s.tileAnchorPoint.x,s.tileAnchorPoint.y,s).point,s.projectionCache.cachedAnchorPoint=f);let d,m,g=f,y=f,v=0,x=0;const _=Math.abs(c),b=[];let w;for(;v+x<=_;){if(p+=u,p=o)return null;v+=x,y=g,m=d;const t={absOffsetX:_,direction:u,distanceFromAnchor:v,previousVertex:y};if(g=Lt(p,s,t),0===r)b.push(y),w=g.sub(y);else{let e;const n=g.sub(y);e=0===n.mag()?Pt(Lt(p+u,s,t).sub(g),r,u):Pt(n,r,u),m||(m=y.add(e)),d=zt(p,e,g,a,o,m,r,s,t),b.push(m),w=d.sub(m)}x=w.mag()}const T=(_-v)/x,k=w._mult(T)._add(m||y),A=h+Math.atan2(g.y-y.y,g.x-y.x);return b.push(k),{point:k,angle:l?A:0,path:b}}const Dt=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function Rt(t,e){for(let r=0;r=1;t--)l.push(o.path[t]);for(let t=1;tt.signedDistanceFromCamera<=0))?[]:t.map((t=>t.point))}let m=[];if(l.length>0){const t=l[0].clone(),r=l[0].clone();for(let e=1;e=n.x&&r.x<=i.x&&t.y>=n.y&&r.y<=i.y?[l]:r.xi.x||r.yi.y?[]:e.am([l],n.x,n.y,i.x,i.y)}for(const e of m){a.reset(e,.25*r);let n=0;n=a.length<=.5*r?1:Math.ceil(a.paddedLength/h)+1;for(let e=0;ewt(t,r,e.getElevation)))}queryRenderedSymbols(t){if(0===t.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};const r=[];let n=1/0,i=1/0,a=-1/0,o=-1/0;for(const s of t){const t=new e.P(s.x+Ft,s.y+Ft);n=Math.min(n,t.x),i=Math.min(i,t.y),a=Math.max(a,t.x),o=Math.max(o,t.y),r.push(t)}const s=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o)),l={},c={};for(const t of s){const n=t.key;if(void 0===l[n.bucketInstanceId]&&(l[n.bucketInstanceId]={}),l[n.bucketInstanceId][n.featureIndex])continue;const i=[new e.P(t.x1,t.y1),new e.P(t.x2,t.y1),new e.P(t.x2,t.y2),new e.P(t.x1,t.y2)];e.an(r,i)&&(l[n.bucketInstanceId][n.featureIndex]=!0,void 0===c[n.bucketInstanceId]&&(c[n.bucketInstanceId]=[]),c[n.bucketInstanceId].push(n.featureIndex))}return c}insertCollisionBox(t,e,r,n,i,a){const o={bucketInstanceId:n,featureIndex:i,collisionGroupID:a,overlapMode:e};(r?this.ignoredGrid:this.grid).insert(o,t[0],t[1],t[2],t[3])}insertCollisionCircles(t,e,r,n,i,a){const o=r?this.ignoredGrid:this.grid,s={bucketInstanceId:n,featureIndex:i,collisionGroupID:a,overlapMode:e};for(let e=0;e=this.screenRightBoundary||nthis.screenBottomBoundary}isInsideGrid(t,e,r,n){return r>=0&&t=0&&ethis.projectAndGetPerspectiveRatio(n,t.x,t.y,i,c)));A=t.some((t=>!t.isOccluded)),k=t.map((t=>t.point))}else A=!0;return{box:e.ap(k),allPointsOccluded:!A}}}function Nt(t,r,n){return r*(e.X/(t.tileSize*Math.pow(2,n-t.tileID.overscaledZ)))}class jt{constructor(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}isHidden(){return 0===this.opacity&&!this.placed}}class Ut{constructor(t,e,r,n,i){this.text=new jt(t?t.text:null,e,r,i),this.icon=new jt(t?t.icon:null,e,n,i)}isHidden(){return this.text.isHidden()&&this.icon.isHidden()}}class Vt{constructor(t,e,r){this.text=t,this.icon=e,this.skipFade=r}}class qt{constructor(){this.invProjMatrix=e.H(),this.viewportMatrix=e.H(),this.circles=[]}}class Ht{constructor(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i}}class Gt{constructor(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}}get(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){const e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:t=>t.collisionGroupID===e}}return this.collisionGroups[t]}}function Zt(t,r,n,i,a){const{horizontalAlign:o,verticalAlign:s}=e.av(t),l=-(o-.5)*r,c=-(s-.5)*n;return new e.P(l+i[0]*a,c+i[1]*a)}class Wt{constructor(t,e,r,n,i,a){this.transform=t.clone(),this.terrain=r,this.collisionIndex=new Bt(this.transform,e),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=n,this.retainedQueryData={},this.collisionGroups=new Gt(i),this.collisionCircleArrays={},this.collisionBoxArrays=new Map,this.prevPlacement=a,a&&(a.prevPlacement=void 0),this.placedOrientations={}}_getTerrainElevationFunc(t){const e=this.terrain;return e?(r,n)=>e.getElevation(t,r,n):null}getBucketParts(t,r,n,i){const a=n.getBucket(r),o=n.latestFeatureIndex;if(!a||!o||r.id!==a.layerIds[0])return;const s=n.collisionBoxArray,l=a.layers[0].layout,c=a.layers[0].paint,u=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),h=n.tileSize/e.X,f=n.tileID.toUnwrapped(),p=this.transform.calculatePosMatrix(f),d=\"map\"===l.get(\"text-pitch-alignment\"),m=\"map\"===l.get(\"text-rotation-alignment\"),g=Nt(n,1,this.transform.zoom),y=this.collisionIndex.mapProjection.translatePosition(this.transform,n,c.get(\"text-translate\"),c.get(\"text-translate-anchor\")),v=this.collisionIndex.mapProjection.translatePosition(this.transform,n,c.get(\"icon-translate\"),c.get(\"icon-translate-anchor\")),x=_t(p,d,m,this.transform,g);let _=null;if(d){const t=bt(p,d,m,this.transform,g);_=e.L([],this.transform.labelPlaneMatrix,t)}this.retainedQueryData[a.bucketInstanceId]=new Ht(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);const b={bucket:a,layout:l,translationText:y,translationIcon:v,posMatrix:p,unwrappedTileID:f,textLabelPlaneMatrix:x,labelToScreenMatrix:_,scale:u,textPixelRatio:h,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:e.ah(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(const e of a.sortKeyRanges){const{sortKey:r,symbolInstanceStart:n,symbolInstanceEnd:i}=e;t.push({sortKey:r,symbolInstanceStart:n,symbolInstanceEnd:i,parameters:b})}else t.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:b})}attemptAnchorPlacement(t,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y,v,x){const _=e.ar[t.textAnchor],b=[t.textOffset0,t.textOffset1],w=Zt(_,n,i,b,a),T=this.collisionIndex.placeCollisionBox(r,f,l,c,u,s,o,g,h.predicate,x,w);if((!v||this.collisionIndex.placeCollisionBox(v,f,l,c,u,s,o,y,h.predicate,x,w).placeable)&&T.placeable){let t;if(this.prevPlacement&&this.prevPlacement.variableOffsets[p.crossTileID]&&this.prevPlacement.placements[p.crossTileID]&&this.prevPlacement.placements[p.crossTileID].text&&(t=this.prevPlacement.variableOffsets[p.crossTileID].anchor),0===p.crossTileID)throw new Error(\"symbolInstance.crossTileID can't be 0\");return this.variableOffsets[p.crossTileID]={textOffset:b,width:n,height:i,anchor:_,textBoxScale:a,prevAnchor:t},this.markUsedJustification(d,_,p,m),d.allowVerticalPlacement&&(this.markUsedOrientation(d,m,p),this.placedOrientations[p.crossTileID]=m),{shift:w,placedGlyphBoxes:T}}}placeLayerBucketPart(t,r,n){const{bucket:i,layout:a,translationText:o,translationIcon:s,posMatrix:l,unwrappedTileID:c,textLabelPlaneMatrix:u,labelToScreenMatrix:h,textPixelRatio:f,holdingForFade:p,collisionBoxArray:d,partiallyEvaluatedTextSize:m,collisionGroup:g}=t.parameters,y=a.get(\"text-optional\"),v=a.get(\"icon-optional\"),x=e.as(a,\"text-overlap\",\"text-allow-overlap\"),_=\"always\"===x,b=e.as(a,\"icon-overlap\",\"icon-allow-overlap\"),w=\"always\"===b,T=\"map\"===a.get(\"text-rotation-alignment\"),k=\"map\"===a.get(\"text-pitch-alignment\"),A=\"none\"!==a.get(\"icon-text-fit\"),M=\"viewport-y\"===a.get(\"symbol-z-order\"),S=_&&(w||!i.hasIconData()||v),E=w&&(_||!i.hasTextData()||y);!i.collisionArrays&&d&&i.deserializeCollisionBoxes(d);const C=this.retainedQueryData[i.bucketInstanceId].tileID,L=this._getTerrainElevationFunc(C),I=(t,d,w)=>{var M,C;if(r[t.crossTileID])return;if(p)return void(this.placements[t.crossTileID]=new Vt(!1,!1,!1));let I=!1,P=!1,z=!0,O=null,D={box:null,placeable:!1,offscreen:null},R={box:null,placeable:!1,offscreen:null},F=null,B=null,N=null,j=0,U=0,V=0;d.textFeatureIndex?j=d.textFeatureIndex:t.useRuntimeCollisionCircles&&(j=t.featureIndex),d.verticalTextFeatureIndex&&(U=d.verticalTextFeatureIndex);const q=d.textBox;if(q){const r=r=>{let n=e.ai.horizontal;if(i.allowVerticalPlacement&&!r&&this.prevPlacement){const e=this.prevPlacement.placedOrientations[t.crossTileID];e&&(this.placedOrientations[t.crossTileID]=e,n=e,this.markUsedOrientation(i,n,t))}return n},a=(r,n)=>{if(i.allowVerticalPlacement&&t.numVerticalGlyphVertices>0&&d.verticalTextBox){for(const t of i.writingModes)if(t===e.ai.vertical?(D=n(),R=D):D=r(),D&&D.placeable)break}else D=r()},u=t.textAnchorOffsetStartIndex,h=t.textAnchorOffsetEndIndex;if(h===u){const n=(e,r)=>{const n=this.collisionIndex.placeCollisionBox(e,x,f,l,c,k,T,o,g.predicate,L);return n&&n.placeable&&(this.markUsedOrientation(i,r,t),this.placedOrientations[t.crossTileID]=r),n};a((()=>n(q,e.ai.horizontal)),(()=>{const r=d.verticalTextBox;return i.allowVerticalPlacement&&t.numVerticalGlyphVertices>0&&r?n(r,e.ai.vertical):{box:null,offscreen:null}})),r(D&&D.placeable)}else{let p=e.ar[null===(C=null===(M=this.prevPlacement)||void 0===M?void 0:M.variableOffsets[t.crossTileID])||void 0===C?void 0:C.anchor];const m=(r,a,d)=>{const m=r.x2-r.x1,y=r.y2-r.y1,v=t.textBoxScale,_=A&&\"never\"===b?a:null;let w=null,M=\"never\"===x?1:2,S=\"never\";p&&M++;for(let e=0;em(q,d.iconBox,e.ai.horizontal)),(()=>{const r=d.verticalTextBox,n=D&&D.placeable;return i.allowVerticalPlacement&&!n&&t.numVerticalGlyphVertices>0&&r?m(r,d.verticalIconBox,e.ai.vertical):{box:null,occluded:!0,offscreen:null}})),D&&(I=D.placeable,z=D.offscreen);const y=r(D&&D.placeable);if(!I&&this.prevPlacement){const e=this.prevPlacement.variableOffsets[t.crossTileID];e&&(this.variableOffsets[t.crossTileID]=e,this.markUsedJustification(i,e.anchor,t,y))}}}if(F=D,I=F&&F.placeable,z=F&&F.offscreen,t.useRuntimeCollisionCircles){const r=i.text.placedSymbolArray.get(t.centerJustifiedTextSymbolIndex),s=e.aj(i.textSizeData,m,r),f=a.get(\"text-padding\"),p=t.collisionCircleDiameter;B=this.collisionIndex.placeCollisionCircles(x,r,i.lineVertexArray,i.glyphOffsetArray,s,l,c,u,h,n,k,g.predicate,p,f,o,L),B.circles.length&&B.collisionDetected&&!n&&e.w(\"Collisions detected, but collision boxes are not shown\"),I=_||B.circles.length>0&&!B.collisionDetected,z=z&&B.offscreen}if(d.iconFeatureIndex&&(V=d.iconFeatureIndex),d.iconBox){const t=t=>this.collisionIndex.placeCollisionBox(t,b,f,l,c,k,T,s,g.predicate,L,A&&O?O:void 0);R&&R.placeable&&d.verticalIconBox?(N=t(d.verticalIconBox),P=N.placeable):(N=t(d.iconBox),P=N.placeable),z=z&&N.offscreen}const H=y||0===t.numHorizontalGlyphVertices&&0===t.numVerticalGlyphVertices,G=v||0===t.numIconVertices;H||G?G?H||(P=P&&I):I=P&&I:P=I=P&&I;const Z=I&&F.placeable,W=P&&N.placeable;if(Z&&(R&&R.placeable&&U?this.collisionIndex.insertCollisionBox(F.box,x,a.get(\"text-ignore-placement\"),i.bucketInstanceId,U,g.ID):this.collisionIndex.insertCollisionBox(F.box,x,a.get(\"text-ignore-placement\"),i.bucketInstanceId,j,g.ID)),W&&this.collisionIndex.insertCollisionBox(N.box,b,a.get(\"icon-ignore-placement\"),i.bucketInstanceId,V,g.ID),B&&I&&this.collisionIndex.insertCollisionCircles(B.circles,x,a.get(\"text-ignore-placement\"),i.bucketInstanceId,j,g.ID),n&&this.storeCollisionData(i.bucketInstanceId,w,d,F,N,B),0===t.crossTileID)throw new Error(\"symbolInstance.crossTileID can't be 0\");if(0===i.bucketInstanceId)throw new Error(\"bucket.bucketInstanceId can't be 0\");this.placements[t.crossTileID]=new Vt(I||S,P||E,z||i.justReloaded),r[t.crossTileID]=!0};if(M){if(0!==t.symbolInstanceStart)throw new Error(\"bucket.bucketInstanceId should be 0\");const e=i.getSortedSymbolIndexes(this.transform.angle);for(let t=e.length-1;t>=0;--t){const r=e[t];I(i.symbolInstances.get(r),i.collisionArrays[r],r)}}else for(let e=t.symbolInstanceStart;e=0&&(t.text.placedSymbolArray.get(e).crossTileID=o>=0&&e!==o?0:n.crossTileID)}markUsedOrientation(t,r,n){const i=r===e.ai.horizontal||r===e.ai.horizontalOnly?r:0,a=r===e.ai.vertical?r:0,o=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];for(const e of o)t.text.placedSymbolArray.get(e).placedOrientation=i;n.verticalPlacedTextSymbolIndex&&(t.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)}commit(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;const e=this.prevPlacement;let r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;const n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(const t in this.placements){const e=this.placements[t],a=i[t];a?(this.opacities[t]=new Ut(a,n,e.text,e.icon),r=r||e.text!==a.text.placed||e.icon!==a.icon.placed):(this.opacities[t]=new Ut(null,n,e.text,e.icon,e.skipFade),r=r||e.text||e.icon)}for(const t in i){const e=i[t];if(!this.opacities[t]){const i=new Ut(e,n,!1,!1);i.isHidden()||(this.opacities[t]=i,r=r||e.text.placed||e.icon.placed)}}for(const t in a)this.variableOffsets[t]||!this.opacities[t]||this.opacities[t].isHidden()||(this.variableOffsets[t]=a[t]);for(const t in o)this.placedOrientations[t]||!this.opacities[t]||this.opacities[t].isHidden()||(this.placedOrientations[t]=o[t]);if(e&&void 0===e.lastPlacementChangeTime)throw new Error(\"Last placement time for previous placement is not defined\");r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)}updateLayerOpacities(t,e){const r={};for(const n of e){const e=n.getBucket(t);e&&n.latestFeatureIndex&&t.id===e.layerIds[0]&&this.updateBucketOpacities(e,n.tileID,r,n.collisionBoxArray)}}updateBucketOpacities(t,r,n,i){t.hasTextData()&&(t.text.opacityVertexArray.clear(),t.text.hasVisibleVertices=!1),t.hasIconData()&&(t.icon.opacityVertexArray.clear(),t.icon.hasVisibleVertices=!1),t.hasIconCollisionBoxData()&&t.iconCollisionBox.collisionVertexArray.clear(),t.hasTextCollisionBoxData()&&t.textCollisionBox.collisionVertexArray.clear();const a=t.layers[0],o=a.layout,s=new Ut(null,0,!1,!1,!0),l=o.get(\"text-allow-overlap\"),c=o.get(\"icon-allow-overlap\"),u=a._unevaluatedLayout.hasValue(\"text-variable-anchor\")||a._unevaluatedLayout.hasValue(\"text-variable-anchor-offset\"),h=\"map\"===o.get(\"text-rotation-alignment\"),f=\"map\"===o.get(\"text-pitch-alignment\"),p=\"none\"!==o.get(\"icon-text-fit\"),d=new Ut(null,0,l&&(c||!t.hasIconData()||o.get(\"icon-optional\")),c&&(l||!t.hasTextData()||o.get(\"text-optional\")),!0);!t.collisionArrays&&i&&(t.hasIconCollisionBoxData()||t.hasTextCollisionBoxData())&&t.deserializeCollisionBoxes(i);const m=(t,e,r)=>{for(let n=0;n0||o>0,x=i.numIconVertices>0,_=this.placedOrientations[i.crossTileID],b=_===e.ai.vertical,w=_===e.ai.horizontal||_===e.ai.horizontalOnly;if(v){const e=re(y.text),r=b?ne:e;m(t.text,a,r);const n=w?ne:e;m(t.text,o,n);const s=y.text.isHidden();[i.rightJustifiedTextSymbolIndex,i.centerJustifiedTextSymbolIndex,i.leftJustifiedTextSymbolIndex].forEach((e=>{e>=0&&(t.text.placedSymbolArray.get(e).hidden=s||b?1:0)})),i.verticalPlacedTextSymbolIndex>=0&&(t.text.placedSymbolArray.get(i.verticalPlacedTextSymbolIndex).hidden=s||w?1:0);const l=this.variableOffsets[i.crossTileID];l&&this.markUsedJustification(t,l.anchor,i,_);const c=this.placedOrientations[i.crossTileID];c&&(this.markUsedJustification(t,\"left\",i,c),this.markUsedOrientation(t,c,i))}if(x){const e=re(y.icon),r=!(p&&i.verticalPlacedIconSymbolIndex&&b);if(i.placedIconSymbolIndex>=0){const n=r?e:ne;m(t.icon,i.numIconVertices,n),t.icon.placedSymbolArray.get(i.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(i.verticalPlacedIconSymbolIndex>=0){const n=r?ne:e;m(t.icon,i.numVerticalIconVertices,n),t.icon.placedSymbolArray.get(i.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}const T=g&&g.has(r)?g.get(r):{text:null,icon:null};if(t.hasIconCollisionBoxData()||t.hasTextCollisionBoxData()){const n=t.collisionArrays[r];if(n){let r=new e.P(0,0);if(n.textBox||n.verticalTextBox){let e=!0;if(u){const t=this.variableOffsets[l];t?(r=Zt(t.anchor,t.width,t.height,t.textOffset,t.textBoxScale),h&&r._rotate(f?this.transform.angle:-this.transform.angle)):e=!1}if(n.textBox||n.verticalTextBox){let i;n.textBox&&(i=b),n.verticalTextBox&&(i=w),Yt(t.textCollisionBox.collisionVertexArray,y.text.placed,!e||i,T.text,r.x,r.y)}}if(n.iconBox||n.verticalIconBox){const e=Boolean(!w&&n.verticalIconBox);let i;n.iconBox&&(i=e),n.verticalIconBox&&(i=!e),Yt(t.iconCollisionBox.collisionVertexArray,y.icon.placed,i,T.icon,p?r.x:0,p?r.y:0)}}}}if(t.sortFeatures(this.transform.angle),this.retainedQueryData[t.bucketInstanceId]&&(this.retainedQueryData[t.bucketInstanceId].featureSortOrder=t.featureSortOrder),t.hasTextData()&&t.text.opacityVertexBuffer&&t.text.opacityVertexBuffer.updateData(t.text.opacityVertexArray),t.hasIconData()&&t.icon.opacityVertexBuffer&&t.icon.opacityVertexBuffer.updateData(t.icon.opacityVertexArray),t.hasIconCollisionBoxData()&&t.iconCollisionBox.collisionVertexBuffer&&t.iconCollisionBox.collisionVertexBuffer.updateData(t.iconCollisionBox.collisionVertexArray),t.hasTextCollisionBoxData()&&t.textCollisionBox.collisionVertexBuffer&&t.textCollisionBox.collisionVertexBuffer.updateData(t.textCollisionBox.collisionVertexArray),t.text.opacityVertexArray.length!==t.text.layoutVertexArray.length/4)throw new Error(`bucket.text.opacityVertexArray.length (= ${t.text.opacityVertexArray.length}) !== bucket.text.layoutVertexArray.length (= ${t.text.layoutVertexArray.length}) / 4`);if(t.icon.opacityVertexArray.length!==t.icon.layoutVertexArray.length/4)throw new Error(`bucket.icon.opacityVertexArray.length (= ${t.icon.opacityVertexArray.length}) !== bucket.icon.layoutVertexArray.length (= ${t.icon.layoutVertexArray.length}) / 4`);if(t.bucketInstanceId in this.collisionCircleArrays){const e=this.collisionCircleArrays[t.bucketInstanceId];t.placementInvProjMatrix=e.invProjMatrix,t.placementViewportMatrix=e.viewportMatrix,t.collisionCircleArray=e.circles,delete this.collisionCircleArrays[t.bucketInstanceId]}}symbolFadeChange(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment}zoomAdjustment(t){return Math.max(0,(this.transform.zoom-t)/1.5)}hasTransitions(t){return this.stale||t-this.lastPlacementChangeTimet}setStale(){this.stale=!0}}function Yt(t,e,r,n,i,a){n&&0!==n.length||(n=[0,0,0,0]);const o=n[0]-Ft,s=n[1]-Ft,l=n[2]-Ft,c=n[3]-Ft;t.emplaceBack(e?1:0,r?1:0,i||0,a||0,o,s),t.emplaceBack(e?1:0,r?1:0,i||0,a||0,l,s),t.emplaceBack(e?1:0,r?1:0,i||0,a||0,l,c),t.emplaceBack(e?1:0,r?1:0,i||0,a||0,o,c)}const Xt=Math.pow(2,25),$t=Math.pow(2,24),Jt=Math.pow(2,17),Kt=Math.pow(2,16),Qt=Math.pow(2,9),te=Math.pow(2,8),ee=Math.pow(2,1);function re(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;const e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Xt+e*$t+r*Jt+e*Kt+r*Qt+e*te+r*ee+e}const ne=0;function ie(){return{isOccluded(t,e,r){return!1},getPitchedTextCorrection(t,e,r){return 1},get useSpecialProjectionForSymbols(){return!1},projectTileCoordinates(t,e,r,n){throw new Error(\"Not implemented.\")},translatePosition(t,e,r,n){return function(t,e,r,n,i=!1){if(!r[0]&&!r[1])return[0,0];const a=i?\"map\"===n?t.angle:0:\"viewport\"===n?-t.angle:0;if(a){const t=Math.sin(a),e=Math.cos(a);r=[r[0]*e-r[1]*t,r[0]*t+r[1]*e]}return[i?r[0]:Nt(e,r[0],t.zoom),i?r[1]:Nt(e,r[1],t.zoom)]}(t,e,r,n)},getCircleRadiusCorrection(t){return 1}}}class ae{constructor(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&!t.layout.get(\"symbol-sort-key\").isConstant(),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]}continuePlacement(t,e,r,n,i){const a=this._bucketParts;for(;this._currentTileIndext.sortKey-e.sortKey)));this._currentPartIndex!this._forceFullPlacement&&a.now()-n>2;for(;this._currentPlacementIndex>=0;){const n=e[t[this._currentPlacementIndex]],a=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===n.type&&(!n.minzoom||n.minzoom<=a)&&(!n.maxzoom||n.maxzoom>a)){if(this._inProgressLayer||(this._inProgressLayer=new ae(n)),this._inProgressLayer.continuePlacement(r[n.source],this.placement,this._showCollisionBoxes,n,i))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0}commit(t){return this.placement.commit(t),this.placement}}const se=512/e.X/2;class le{constructor(t,r,n){this.tileID=t,this.bucketInstanceId=n,this._symbolsByKey={};const i=new Map;for(let t=0;t({x:Math.floor(t.anchorX*se),y:Math.floor(t.anchorY*se)}))),crossTileIDs:r.map((t=>t.crossTileID))};if(n.positions.length>128){const t=new e.aw(n.positions.length,16,Uint16Array);for(const{x:e,y:r}of n.positions)t.add(e,r);t.finish(),delete n.positions,n.index=t}this._symbolsByKey[t]=n}}getScaledCoordinates(t,r){const{x:n,y:i,z:a}=this.tileID.canonical,{x:o,y:s,z:l}=r.canonical,c=l-a,u=se/Math.pow(2,c),h=(o*e.X+t.anchorX)*u,f=(s*e.X+t.anchorY)*u,p=n*e.X*se,d=i*e.X*se;return{x:Math.floor(h-p),y:Math.floor(f-d)}}findMatches(t,e,r){const n=this.tileID.canonical.zt))}}class ce{constructor(){this.maxCrossTileID=0}generate(){return++this.maxCrossTileID}}class ue{constructor(){this.indexes={},this.usedCrossTileIDs={},this.lng=0}handleWrapJump(t){const e=Math.round((t-this.lng)/360);if(0!==e)for(const t in this.indexes){const r=this.indexes[t],n={};for(const t in r){const i=r[t];i.tileID=i.tileID.unwrapTo(i.tileID.wrap+e),n[i.tileID.key]=i}this.indexes[t]=n}this.lng=t}addBucket(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(let t=0;tt.overscaledZ)for(const r in i){const a=i[r];a.tileID.isChildOf(t)&&a.findMatches(e.symbolInstances,t,n)}else{const a=i[t.scaledTo(Number(r)).key];a&&a.findMatches(e.symbolInstances,t,n)}}for(let t=0;t{e[t]=!0}));for(const t in this.layerIndexes)e[t]||delete this.layerIndexes[t]}}const fe=(t,r)=>e.t(t,r&&r.filter((t=>\"source.canvas\"!==t.identifier))),pe=e.ax();class de extends e.E{constructor(t,r={}){super(),this._rtlPluginLoaded=()=>{for(const t in this.sourceCaches){const e=this.sourceCaches[t].getSource().type;\"vector\"!==e&&\"geojson\"!==e||this.sourceCaches[t].reload()}},this.map=t,this.dispatcher=new q(V(),t._getMapId()),this.dispatcher.registerMessageHandler(\"GG\",((t,e)=>this.getGlyphs(t,e))),this.dispatcher.registerMessageHandler(\"GI\",((t,e)=>this.getImages(t,e))),this.imageManager=new k,this.imageManager.setEventedParent(this),this.glyphManager=new E(t._requestManager,r.localIdeographFontFamily),this.lineAtlas=new R(256,512),this.crossTileSymbolIndex=new he,this._spritesImagesIds={},this._layers={},this._order=[],this.sourceCaches={},this.zoomHistory=new e.ay,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"SR\",e.az()),ut().on(st,this._rtlPluginLoaded),this.on(\"data\",(t=>{if(\"source\"!==t.dataType||\"metadata\"!==t.sourceDataType)return;const e=this.sourceCaches[t.sourceId];if(!e)return;const r=e.getSource();if(r&&r.vectorLayerIds)for(const t in this._layers){const e=this._layers[t];e.source===r.id&&this._validateLayer(e)}}))}loadURL(t,r={},n){this.fire(new e.k(\"dataloading\",{dataType:\"style\"})),r.validate=\"boolean\"!=typeof r.validate||r.validate;const i=this.map._requestManager.transformRequest(t,\"Style\");this._loadStyleRequest=new AbortController;const a=this._loadStyleRequest;e.h(i,this._loadStyleRequest).then((t=>{this._loadStyleRequest=null,this._load(t.data,r,n)})).catch((t=>{this._loadStyleRequest=null,t&&!a.signal.aborted&&this.fire(new e.j(t))}))}loadJSON(t,r={},n){this.fire(new e.k(\"dataloading\",{dataType:\"style\"})),this._frameRequest=new AbortController,a.frameAsync(this._frameRequest).then((()=>{this._frameRequest=null,r.validate=!1!==r.validate,this._load(t,r,n)})).catch((()=>{}))}loadEmpty(){this.fire(new e.k(\"dataloading\",{dataType:\"style\"})),this._load(pe,{validate:!1})}_load(t,r,n){var i;const a=r.transformStyle?r.transformStyle(n,t):t;if(!r.validate||!fe(this,e.x(a))){this._loaded=!0,this.stylesheet=a;for(const t in a.sources)this.addSource(t,a.sources[t],{validate:!1});a.sprite?this._loadSprite(a.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(a.glyphs),this._createLayers(),this.light=new P(this.stylesheet.light),this.sky=new D(this.stylesheet.sky),this.map.setTerrain(null!==(i=this.stylesheet.terrain)&&void 0!==i?i:null),this.fire(new e.k(\"data\",{dataType:\"style\"})),this.fire(new e.k(\"style.load\"))}}_createLayers(){const t=e.aA(this.stylesheet.layers);this.dispatcher.broadcast(\"SL\",t),this._order=t.map((t=>t.id)),this._layers={},this._serializedLayers=null;for(const r of t){const t=e.aB(r);t.setEventedParent(this,{layer:{id:r.id}}),this._layers[r.id]=t}}_loadSprite(t,r=!1,n=void 0){let i;this.imageManager.setLoaded(!1),this._spriteRequest=new AbortController,b(t,this.map._requestManager,this.map.getPixelRatio(),this._spriteRequest).then((t=>{if(this._spriteRequest=null,t)for(const e in t){this._spritesImagesIds[e]=[];const n=this._spritesImagesIds[e]?this._spritesImagesIds[e].filter((e=>!(e in t))):[];for(const t of n)this.imageManager.removeImage(t),this._changedImages[t]=!0;for(const n in t[e]){const i=\"default\"===e?n:`${e}:${n}`;this._spritesImagesIds[e].push(i),i in this.imageManager.images?this.imageManager.updateImage(i,t[e][n],!1):this.imageManager.addImage(i,t[e][n]),r&&(this._changedImages[i]=!0)}}})).catch((t=>{this._spriteRequest=null,i=t,this.fire(new e.j(i))})).finally((()=>{this.imageManager.setLoaded(!0),this._availableImages=this.imageManager.listImages(),r&&(this._changed=!0),this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new e.k(\"data\",{dataType:\"style\"})),n&&n(i)}))}_unloadSprite(){for(const t of Object.values(this._spritesImagesIds).flat())this.imageManager.removeImage(t),this._changedImages[t]=!0;this._spritesImagesIds={},this._availableImages=this.imageManager.listImages(),this._changed=!0,this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new e.k(\"data\",{dataType:\"style\"}))}_validateLayer(t){const r=this.sourceCaches[t.source];if(!r)return;const n=t.sourceLayer;if(!n)return;const i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new e.j(new Error(`Source layer \"${n}\" does not exist on source \"${i.id}\" as specified by style layer \"${t.id}\".`)))}loaded(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(const t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()}_serializeByIds(t){const e=this._serializedAllLayers();if(!t||0===t.length)return Object.values(e);const r=[];for(const n of t)e[n]&&r.push(e[n]);return r}_serializedAllLayers(){let t=this._serializedLayers;if(t)return t;t=this._serializedLayers={};const e=Object.keys(this._layers);for(const r of e){const e=this._layers[r];\"custom\"!==e.type&&(t[r]=e.serialize())}return t}hasTransitions(){if(this.light&&this.light.hasTransition())return!0;if(this.sky&&this.sky.hasTransition())return!0;for(const t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(const t in this._layers)if(this._layers[t].hasTransition())return!0;return!1}_checkLoaded(){if(!this._loaded)throw new Error(\"Style is not done loading.\")}update(t){if(!this._loaded)return;const r=this._changed;if(r){const e=Object.keys(this._updatedLayers),r=Object.keys(this._removedLayers);(e.length||r.length)&&this._updateWorkerLayers(e,r);for(const t in this._updatedSources){const e=this._updatedSources[t];if(\"reload\"===e)this._reloadSource(t);else{if(\"clear\"!==e)throw new Error(`Invalid action ${e}`);this._clearSource(t)}}this._updateTilesForChangedImages(),this._updateTilesForChangedGlyphs();for(const e in this._updatedPaintProps)this._layers[e].updateTransitions(t);this.light.updateTransitions(t),this.sky.updateTransitions(t),this._resetUpdates()}const n={};for(const t in this.sourceCaches){const e=this.sourceCaches[t];n[t]=e.used,e.used=!1}for(const e of this._order){const r=this._layers[e];r.recalculate(t,this._availableImages),!r.isHidden(t.zoom)&&r.source&&(this.sourceCaches[r.source].used=!0)}for(const t in n){const r=this.sourceCaches[t];!!n[t]!=!!r.used&&r.fire(new e.k(\"data\",{sourceDataType:\"visibility\",dataType:\"source\",sourceId:t}))}this.light.recalculate(t),this.sky.recalculate(t),this.z=t.zoom,r&&this.fire(new e.k(\"data\",{dataType:\"style\"}))}_updateTilesForChangedImages(){const t=Object.keys(this._changedImages);if(t.length){for(const e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}}_updateTilesForChangedGlyphs(){if(this._glyphsDidChange){for(const t in this.sourceCaches)this.sourceCaches[t].reloadTilesForDependencies([\"glyphs\"],[\"\"]);this._glyphsDidChange=!1}}_updateWorkerLayers(t,e){this.dispatcher.broadcast(\"UL\",{layers:this._serializeByIds(t),removedIds:e})}_resetUpdates(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={},this._glyphsDidChange=!1}setState(t,r={}){var n;this._checkLoaded();const i=this.serialize();if(t=r.transformStyle?r.transformStyle(i,t):t,(null===(n=r.validate)||void 0===n||n)&&fe(this,e.x(t)))return!1;(t=e.aC(t)).layers=e.aA(t.layers);const a=e.aD(i,t),o=this._getOperationsToPerform(a);if(o.unimplemented.length>0)throw new Error(`Unimplemented: ${o.unimplemented.join(\", \")}.`);if(0===o.operations.length)return!1;for(const t of o.operations)t();return this.stylesheet=t,this._serializedLayers=null,!0}_getOperationsToPerform(t){const e=[],r=[];for(const n of t)switch(n.command){case\"setCenter\":case\"setZoom\":case\"setBearing\":case\"setPitch\":continue;case\"addLayer\":e.push((()=>this.addLayer.apply(this,n.args)));break;case\"removeLayer\":e.push((()=>this.removeLayer.apply(this,n.args)));break;case\"setPaintProperty\":e.push((()=>this.setPaintProperty.apply(this,n.args)));break;case\"setLayoutProperty\":e.push((()=>this.setLayoutProperty.apply(this,n.args)));break;case\"setFilter\":e.push((()=>this.setFilter.apply(this,n.args)));break;case\"addSource\":e.push((()=>this.addSource.apply(this,n.args)));break;case\"removeSource\":e.push((()=>this.removeSource.apply(this,n.args)));break;case\"setLayerZoomRange\":e.push((()=>this.setLayerZoomRange.apply(this,n.args)));break;case\"setLight\":e.push((()=>this.setLight.apply(this,n.args)));break;case\"setGeoJSONSourceData\":e.push((()=>this.setGeoJSONSourceData.apply(this,n.args)));break;case\"setGlyphs\":e.push((()=>this.setGlyphs.apply(this,n.args)));break;case\"setSprite\":e.push((()=>this.setSprite.apply(this,n.args)));break;case\"setSky\":e.push((()=>this.setSky.apply(this,n.args)));break;case\"setTerrain\":e.push((()=>this.map.setTerrain.apply(this,n.args)));break;case\"setTransition\":e.push((()=>{}));break;default:r.push(n.command)}return{operations:e,unimplemented:r}}addImage(t,r){if(this.getImage(t))return this.fire(new e.j(new Error(`An image named \"${t}\" already exists.`)));this.imageManager.addImage(t,r),this._afterImageUpdated(t)}updateImage(t,e){this.imageManager.updateImage(t,e)}getImage(t){return this.imageManager.getImage(t)}removeImage(t){if(!this.getImage(t))return this.fire(new e.j(new Error(`An image named \"${t}\" does not exist.`)));this.imageManager.removeImage(t),this._afterImageUpdated(t)}_afterImageUpdated(t){this._availableImages=this.imageManager.listImages(),this._changedImages[t]=!0,this._changed=!0,this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new e.k(\"data\",{dataType:\"style\"}))}listImages(){return this._checkLoaded(),this.imageManager.listImages()}addSource(t,r,n={}){if(this._checkLoaded(),void 0!==this.sourceCaches[t])throw new Error(`Source \"${t}\" already exists.`);if(!r.type)throw new Error(`The type property must be defined, but only the following properties were given: ${Object.keys(r).join(\", \")}.`);if([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0&&this._validate(e.x.source,`sources.${t}`,r,null,n))return;this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);const i=this.sourceCaches[t]=new dt(t,r,this.dispatcher);i.style=this,i.setEventedParent(this,(()=>({isSourceLoaded:i.loaded(),source:i.serialize(),sourceId:t}))),i.onAdd(this.map),this._changed=!0}removeSource(t){if(this._checkLoaded(),void 0===this.sourceCaches[t])throw new Error(\"There is no source with this ID\");for(const r in this._layers)if(this._layers[r].source===t)return this.fire(new e.j(new Error(`Source \"${t}\" cannot be removed while layer \"${r}\" is using it.`)));const r=this.sourceCaches[t];delete this.sourceCaches[t],delete this._updatedSources[t],r.fire(new e.k(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:t})),r.setEventedParent(null),r.onRemove(this.map),this._changed=!0}setGeoJSONSourceData(t,e){if(this._checkLoaded(),void 0===this.sourceCaches[t])throw new Error(`There is no source with this ID=${t}`);const r=this.sourceCaches[t].getSource();if(\"geojson\"!==r.type)throw new Error(`geojsonSource.type is ${r.type}, which is !== 'geojson`);r.setData(e),this._changed=!0}getSource(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()}addLayer(t,r,n={}){this._checkLoaded();const i=t.id;if(this.getLayer(i))return void this.fire(new e.j(new Error(`Layer \"${i}\" already exists on this map.`)));let a;if(\"custom\"===t.type){if(fe(this,e.aE(t)))return;a=e.aB(t)}else{if(\"source\"in t&&\"object\"==typeof t.source&&(this.addSource(i,t.source),t=e.aC(t),t=e.e(t,{source:i})),this._validate(e.x.layer,`layers.${i}`,t,{arrayIndex:-1},n))return;a=e.aB(t),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}})}const o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new e.j(new Error(`Cannot add layer \"${i}\" before non-existing layer \"${r}\".`)));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){const t=this._removedLayers[i];delete this._removedLayers[i],t.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}moveLayer(t,r){if(this._checkLoaded(),this._changed=!0,!this._layers[t])return void this.fire(new e.j(new Error(`The layer '${t}' does not exist in the map's style and cannot be moved.`)));if(t===r)return;const n=this._order.indexOf(t);this._order.splice(n,1);const i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new e.j(new Error(`Cannot move layer \"${t}\" before non-existing layer \"${r}\".`))):(this._order.splice(i,0,t),this._layerOrderChanged=!0)}removeLayer(t){this._checkLoaded();const r=this._layers[t];if(!r)return void this.fire(new e.j(new Error(`Cannot remove non-existing layer \"${t}\".`)));r.setEventedParent(null);const n=this._order.indexOf(t);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[t]=r,delete this._layers[t],this._serializedLayers&&delete this._serializedLayers[t],delete this._updatedLayers[t],delete this._updatedPaintProps[t],r.onRemove&&r.onRemove(this.map)}getLayer(t){return this._layers[t]}getLayersOrder(){return[...this._order]}hasLayer(t){return t in this._layers}setLayerZoomRange(t,r,n){this._checkLoaded();const i=this.getLayer(t);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new e.j(new Error(`Cannot set the zoom range of non-existing layer \"${t}\".`)))}setFilter(t,r,n={}){this._checkLoaded();const i=this.getLayer(t);if(i){if(!e.aF(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(e.x.filter,`layers.${i.id}.filter`,r,null,n)||(i.filter=e.aC(r),this._updateLayer(i)))}else this.fire(new e.j(new Error(`Cannot filter non-existing layer \"${t}\".`)))}getFilter(t){return e.aC(this.getLayer(t).filter)}setLayoutProperty(t,r,n,i={}){this._checkLoaded();const a=this.getLayer(t);a?e.aF(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new e.j(new Error(`Cannot style non-existing layer \"${t}\".`)))}getLayoutProperty(t,r){const n=this.getLayer(t);if(n)return n.getLayoutProperty(r);this.fire(new e.j(new Error(`Cannot get style of non-existing layer \"${t}\".`)))}setPaintProperty(t,r,n,i={}){this._checkLoaded();const a=this.getLayer(t);a?e.aF(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[t]=!0,this._serializedLayers=null):this.fire(new e.j(new Error(`Cannot style non-existing layer \"${t}\".`)))}getPaintProperty(t,e){return this.getLayer(t).getPaintProperty(e)}setFeatureState(t,r){this._checkLoaded();const n=t.source,i=t.sourceLayer,a=this.sourceCaches[n];if(void 0===a)return void this.fire(new e.j(new Error(`The source '${n}' does not exist in the map's style.`)));const o=a.getSource().type;\"geojson\"===o&&i?this.fire(new e.j(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===t.id&&this.fire(new e.j(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,t.id,r)):this.fire(new e.j(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}removeFeatureState(t,r){this._checkLoaded();const n=t.source,i=this.sourceCaches[n];if(void 0===i)return void this.fire(new e.j(new Error(`The source '${n}' does not exist in the map's style.`)));const a=i.getSource().type,o=\"vector\"===a?t.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof t.id&&\"number\"!=typeof t.id?this.fire(new e.j(new Error(\"A feature id is required to remove its specific state property.\"))):i.removeFeatureState(o,t.id,r):this.fire(new e.j(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}getFeatureState(t){this._checkLoaded();const r=t.source,n=t.sourceLayer,i=this.sourceCaches[r];if(void 0!==i)return\"vector\"!==i.getSource().type||n?(void 0===t.id&&this.fire(new e.j(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,t.id)):void this.fire(new e.j(new Error(\"The sourceLayer parameter must be provided for vector source types.\")));this.fire(new e.j(new Error(`The source '${r}' does not exist in the map's style.`)))}getTransition(){return e.e({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)}serialize(){if(!this._loaded)return;const t=e.aG(this.sourceCaches,(t=>t.serialize())),r=this._serializeByIds(this._order),n=this.map.getTerrain()||void 0,i=this.stylesheet;return e.aH({version:i.version,name:i.name,metadata:i.metadata,light:i.light,sky:i.sky,center:i.center,zoom:i.zoom,bearing:i.bearing,pitch:i.pitch,sprite:i.sprite,glyphs:i.glyphs,transition:i.transition,sources:t,layers:r,terrain:n},(t=>void 0!==t))}_updateLayer(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._serializedLayers=null,this._changed=!0}_flattenAndSortRenderedFeatures(t){const e=t=>\"fill-extrusion\"===this._layers[t].type,r={},n=[];for(let i=this._order.length-1;i>=0;i--){const a=this._order[i];if(e(a)){r[a]=i;for(const e of t){const t=e[a];if(t)for(const e of t)n.push(e)}}}n.sort(((t,e)=>e.intersectionZ-t.intersectionZ));const i=[];for(let a=this._order.length-1;a>=0;a--){const o=this._order[a];if(e(o))for(let t=n.length-1;t>=0;t--){const e=n[t].feature;if(r[e.layer.id]{const n=r.featureSortOrder;if(n){const r=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-r}return e.featureIndex-t.featureIndex}));for(const t of i)e.push(t)}}for(const e in s)s[e].forEach((n=>{const 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}));return s}(this._layers,o,this.sourceCaches,t,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(a)}querySourceFeatures(t,r){r&&r.filter&&this._validate(e.x.filter,\"querySourceFeatures.filter\",r.filter,null,r);const n=this.sourceCaches[t];return n?function(t,e){const r=t.getRenderableIds().map((e=>t.getTileByID(e))),n=[],i={};for(let t=0;tt.getTileByID(e))).sort(((t,e)=>e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)))}const n=this.crossTileSymbolIndex.addLayer(r,l[r.source],t.center.lng);o=o||n}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((i=i||this._layerOrderChanged||0===r)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(a.now(),t.zoom))&&(this.pauseablePlacement=new oe(t,this.map.terrain,this._order,i,e,r,n,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(a.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(const t of this._order){const e=this._layers[t];\"symbol\"===e.type&&this.placement.updateLayerOpacities(e,l[e.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(a.now())}_releaseSymbolFadeTiles(){for(const t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()}getImages(t,r){return e._(this,void 0,void 0,(function*(){const t=yield this.imageManager.getImages(r.icons);this._updateTilesForChangedImages();const e=this.sourceCaches[r.source];return e&&e.setDependencies(r.tileID.key,r.type,r.icons),t}))}getGlyphs(t,r){return e._(this,void 0,void 0,(function*(){const t=yield this.glyphManager.getGlyphs(r.stacks),e=this.sourceCaches[r.source];return e&&e.setDependencies(r.tileID.key,r.type,[\"\"]),t}))}getGlyphsUrl(){return this.stylesheet.glyphs||null}setGlyphs(t,r={}){this._checkLoaded(),t&&this._validate(e.x.glyphs,\"glyphs\",t,null,r)||(this._glyphsDidChange=!0,this.stylesheet.glyphs=t,this.glyphManager.entries={},this.glyphManager.setURL(t))}addSprite(t,r,n={},i){this._checkLoaded();const a=[{id:t,url:r}],o=[...x(this.stylesheet.sprite),...a];this._validate(e.x.sprite,\"sprite\",o,null,n)||(this.stylesheet.sprite=o,this._loadSprite(a,!0,i))}removeSprite(t){this._checkLoaded();const r=x(this.stylesheet.sprite);if(r.find((e=>e.id===t))){if(this._spritesImagesIds[t])for(const e of this._spritesImagesIds[t])this.imageManager.removeImage(e),this._changedImages[e]=!0;r.splice(r.findIndex((e=>e.id===t)),1),this.stylesheet.sprite=r.length>0?r:void 0,delete this._spritesImagesIds[t],this._availableImages=this.imageManager.listImages(),this._changed=!0,this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new e.k(\"data\",{dataType:\"style\"}))}else this.fire(new e.j(new Error(`Sprite \"${t}\" doesn't exists on this map.`)))}getSprite(){return x(this.stylesheet.sprite)}setSprite(t,r={},n){this._checkLoaded(),t&&this._validate(e.x.sprite,\"sprite\",t,null,r)||(this.stylesheet.sprite=t,t?this._loadSprite(t,!0,n):(this._unloadSprite(),n&&n(null)))}}var me=e.Y([{name:\"a_pos\",type:\"Int16\",components:2}]);const ge={prelude:ye(\"#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\\n\",\"#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;}\\n#ifdef TERRAIN3D\\nuniform sampler2D u_terrain;uniform float u_terrain_dim;uniform mat4 u_terrain_matrix;uniform vec4 u_terrain_unpack;uniform float u_terrain_exaggeration;uniform highp sampler2D u_depth;\\n#endif\\nconst highp vec4 bitSh=vec4(256.*256.*256.,256.*256.,256.,1.);const highp vec4 bitShifts=vec4(1.)/bitSh;highp float unpack(highp vec4 color) {return dot(color,bitShifts);}highp float depthOpacity(vec3 frag) {\\n#ifdef TERRAIN3D\\nhighp float d=unpack(texture2D(u_depth,frag.xy*0.5+0.5))+0.0001-frag.z;return 1.0-max(0.0,min(1.0,-d*500.0));\\n#else\\nreturn 1.0;\\n#endif\\n}float calculate_visibility(vec4 pos) {\\n#ifdef TERRAIN3D\\nvec3 frag=pos.xyz/pos.w;highp float d=depthOpacity(frag);if (d > 0.95) return 1.0;return (d+depthOpacity(frag+vec3(0.0,0.01,0.0)))/2.0;\\n#else\\nreturn 1.0;\\n#endif\\n}float ele(vec2 pos) {\\n#ifdef TERRAIN3D\\nvec4 rgb=(texture2D(u_terrain,pos)*255.0)*u_terrain_unpack;return rgb.r+rgb.g+rgb.b-u_terrain_unpack.a;\\n#else\\nreturn 0.0;\\n#endif\\n}float get_elevation(vec2 pos) {\\n#ifdef TERRAIN3D\\nvec2 coord=(u_terrain_matrix*vec4(pos,0.0,1.0)).xy*u_terrain_dim+1.0;vec2 f=fract(coord);vec2 c=(floor(coord)+0.5)/(u_terrain_dim+2.0);float d=1.0/(u_terrain_dim+2.0);float tl=ele(c);float tr=ele(c+vec2(d,0.0));float bl=ele(c+vec2(0.0,d));float br=ele(c+vec2(d,d));float elevation=mix(mix(tl,tr,f.x),mix(bl,br,f.x),f.y);return elevation*u_terrain_exaggeration;\\n#else\\nreturn 0.0;\\n#endif\\n}\"),background:ye(\"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);}\"),backgroundPattern:ye(\"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);}\"),circle:ye(\"varying vec3 v_data;varying float v_visibility;\\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=v_visibility*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;varying float v_visibility;\\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);float ele=get_elevation(circle_center);v_visibility=calculate_visibility(u_matrix*vec4(circle_center,ele,1.0));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,ele,1);} else {gl_Position=u_matrix*vec4(circle_center,ele,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);}\"),clippingMask:ye(\"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);}\"),heatmap:ye(\"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;}\"),heatmapTexture:ye(\"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;}\"),collisionBox:ye(\"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_anchor_pos;attribute vec2 a_placed;attribute vec2 a_box_real;uniform mat4 u_matrix;uniform vec2 u_pixel_extrude_scale;varying float v_placed;varying float v_notUsed;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}void main() {gl_Position=projectTileWithElevation(a_anchor_pos,get_elevation(a_anchor_pos));gl_Position.xy=((a_box_real+0.5)*u_pixel_extrude_scale*2.0-1.0)*vec2(1.0,-1.0)*gl_Position.w;if (gl_Position.z/gl_Position.w < 1.1) {gl_Position.z=0.5;}v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),collisionCircle:ye(\"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);}\"),debug:ye(\"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,get_elevation(a_pos),1);}\"),fill:ye(\"#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);}\"),fillOutline:ye(\"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;}\"),fillOutlinePattern:ye(\"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;}\"),fillPattern:ye(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform 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);}\"),fillExtrusion:ye(\"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;\\n#ifdef TERRAIN3D\\nattribute vec2 a_centroid;\\n#endif\\nvarying 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;\\n#ifdef TERRAIN3D\\nfloat height_terrain3d_offset=get_elevation(a_centroid);float base_terrain3d_offset=height_terrain3d_offset-(base > 0.0 ? 0.0 : 10.0);\\n#else\\nfloat height_terrain3d_offset=0.0;float base_terrain3d_offset=0.0;\\n#endif\\nbase=max(0.0,base)+base_terrain3d_offset;height=max(0.0,height)+height_terrain3d_offset;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;}\"),fillExtrusionPattern:ye(\"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;\\n#ifdef TERRAIN3D\\nattribute vec2 a_centroid;\\n#endif\\nvarying 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;\\n#ifdef TERRAIN3D\\nfloat height_terrain3d_offset=get_elevation(a_centroid);float base_terrain3d_offset=height_terrain3d_offset-(base > 0.0 ? 0.0 : 10.0);\\n#else\\nfloat height_terrain3d_offset=0.0;float base_terrain3d_offset=0.0;\\n#endif\\nbase=max(0.0,base)+base_terrain3d_offset;height=max(0.0,height)+height_terrain3d_offset;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;}\"),hillshadePrepare:ye(\"#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 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 exaggerationFactor=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;float exaggeration=u_zoom < 15.0 ? (u_zoom-15.0)*exaggerationFactor : 0.0;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/pow(2.0,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;}\"),hillshade:ye(\"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;}\"),line:ye(\"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;\\n#ifdef TERRAIN3D\\nv_gamma_scale=1.0;\\n#else\\nfloat 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;\\n#endif\\nv_width2=vec2(outset,inset);}\"),lineGradient:ye(\"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 vec2 v_uv;\\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,v_uv);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;attribute float a_uv_x;attribute float a_split_index;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;uniform float u_image_height;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp vec2 v_uv;\\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;highp float texel_height=1.0/u_image_height;highp float half_texel_height=0.5*texel_height;v_uv=vec2(a_uv_x,a_split_index*texel_height-half_texel_height);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;\\n#ifdef TERRAIN3D\\nv_gamma_scale=1.0;\\n#else\\nfloat 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;\\n#endif\\nv_width2=vec2(outset,inset);}\"),linePattern:ye(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform 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;\\n#ifdef TERRAIN3D\\nv_gamma_scale=1.0;\\n#else\\nfloat 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;\\n#endif\\nv_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),lineSDF:ye(\"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;\\n#ifdef TERRAIN3D\\nv_gamma_scale=1.0;\\n#else\\nfloat 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;\\n#endif\\nv_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);}\"),raster:ye(\"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;}\"),symbolIcon:ye(\"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}\",\"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;uniform bool u_is_along_line;uniform bool u_is_variable_anchor;uniform vec2 u_translation;uniform float u_pitched_scale;varying vec2 v_tex;varying float v_fade_opacity;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}\\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;float ele=get_elevation(a_pos);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;}vec2 translated_a_pos=a_pos+u_translation;vec4 projectedPoint=projectTileWithElevation(translated_a_pos,ele);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=projectTileWithElevation(translated_a_pos+vec2(1,0),ele);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;if (u_is_along_line || u_is_variable_anchor) {projected_pos=vec4(a_projected_pos.xy,ele,1.0);} else if (u_pitch_with_map) {projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy+u_translation,ele,1.0);} else {projected_pos=u_label_plane_matrix*projectTileWithElevation(a_projected_pos.xy+u_translation,ele);}float z=float(u_pitch_with_map)*projected_pos.z/projected_pos.w;float projectionScaling=1.0;vec4 finalPos=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0)*projectionScaling,z,1.0);if(u_pitch_with_map) {finalPos=projectTileWithElevation(finalPos.xy,finalPos.z);}gl_Position=finalPos;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;float visibility=calculate_visibility(projectedPoint);v_fade_opacity=max(0.0,min(visibility,fade_opacity[0]+fade_change));}\"),symbolSDF:ye(\"#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 inner_edge=(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);inner_edge=inner_edge+gamma*gamma_scale;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(inner_edge-gamma_scaled,inner_edge+gamma_scaled,dist);if (u_is_halo) {lowp float halo_edge=(6.0-halo_width/fontScale)/SDF_PX;alpha=min(smoothstep(halo_edge-gamma_scaled,halo_edge+gamma_scaled,dist),1.0-alpha);}gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"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 bool u_is_along_line;uniform bool u_is_variable_anchor;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_translation;uniform float u_pitched_scale;varying vec2 v_data0;varying vec3 v_data1;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}\\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;float ele=get_elevation(a_pos);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;}vec2 translated_a_pos=a_pos+u_translation;vec4 projectedPoint=projectTileWithElevation(translated_a_pos,ele);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=projectTileWithElevation(translated_a_pos+vec2(1,0),ele);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;if (u_is_along_line || u_is_variable_anchor) {projected_pos=vec4(a_projected_pos.xy,ele,1.0);} else if (u_pitch_with_map) {projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy+u_translation,ele,1.0);} else {projected_pos=u_label_plane_matrix*projectTileWithElevation(a_projected_pos.xy+u_translation,ele);}float z=float(u_pitch_with_map)*projected_pos.z/projected_pos.w;float projectionScaling=1.0;vec4 finalPos=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset)*projectionScaling,z,1.0);if(u_pitch_with_map) {finalPos=projectTileWithElevation(finalPos.xy,finalPos.z);}float gamma_scale=finalPos.w;gl_Position=finalPos;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float visibility=calculate_visibility(projectedPoint);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(visibility,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),symbolTextAndIcon:ye(\"#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}\",\"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;uniform bool u_is_along_line;uniform bool u_is_variable_anchor;uniform vec2 u_translation;uniform float u_pitched_scale;varying vec4 v_data0;varying vec4 v_data1;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}\\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;float ele=get_elevation(a_pos);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;}vec2 translated_a_pos=a_pos+u_translation;vec4 projectedPoint=projectTileWithElevation(translated_a_pos,ele);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=projectTileWithElevation(translated_a_pos+vec2(1,0),ele);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;if (u_is_along_line || u_is_variable_anchor) {projected_pos=vec4(a_projected_pos.xy,ele,1.0);} else if (u_pitch_with_map) {projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy+u_translation,ele,1.0);} else {projected_pos=u_label_plane_matrix*projectTileWithElevation(a_projected_pos.xy+u_translation,ele);}float z=float(u_pitch_with_map)*projected_pos.z/projected_pos.w;float projectionScaling=1.0;vec4 finalPos=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale)*projectionScaling,z,1.0);if(u_pitch_with_map) {finalPos=projectTileWithElevation(finalPos.xy,finalPos.z);}float gamma_scale=finalPos.w;gl_Position=finalPos;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float visibility=calculate_visibility(projectedPoint);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(visibility,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);}\"),terrain:ye(\"uniform sampler2D u_texture;uniform vec4 u_fog_color;uniform vec4 u_horizon_color;uniform float u_fog_ground_blend;uniform float u_fog_ground_blend_opacity;uniform float u_horizon_fog_blend;varying vec2 v_texture_pos;varying float v_fog_depth;const float gamma=2.2;vec4 gammaToLinear(vec4 color) {return pow(color,vec4(gamma));}vec4 linearToGamma(vec4 color) {return pow(color,vec4(1.0/gamma));}void main() {vec4 surface_color=texture2D(u_texture,v_texture_pos);if (v_fog_depth > u_fog_ground_blend) {vec4 surface_color_linear=gammaToLinear(surface_color);float blend_color=smoothstep(0.0,1.0,max((v_fog_depth-u_horizon_fog_blend)/(1.0-u_horizon_fog_blend),0.0));vec4 fog_horizon_color_linear=mix(gammaToLinear(u_fog_color),gammaToLinear(u_horizon_color),blend_color);float factor_fog=max(v_fog_depth-u_fog_ground_blend,0.0)/(1.0-u_fog_ground_blend);gl_FragColor=linearToGamma(mix(surface_color_linear,fog_horizon_color_linear,pow(factor_fog,2.0)*u_fog_ground_blend_opacity));} else {gl_FragColor=surface_color;}}\",\"attribute vec3 a_pos3d;uniform mat4 u_matrix;uniform mat4 u_fog_matrix;uniform float u_ele_delta;varying vec2 v_texture_pos;varying float v_fog_depth;void main() {float ele=get_elevation(a_pos3d.xy);float ele_delta=a_pos3d.z==1.0 ? u_ele_delta : 0.0;v_texture_pos=a_pos3d.xy/8192.0;gl_Position=u_matrix*vec4(a_pos3d.xy,ele-ele_delta,1.0);vec4 pos=u_fog_matrix*vec4(a_pos3d.xy,ele,1.0);v_fog_depth=pos.z/pos.w*0.5+0.5;}\"),terrainDepth:ye(\"varying float v_depth;const highp vec4 bitSh=vec4(256.*256.*256.,256.*256.,256.,1.);const highp vec4 bitMsk=vec4(0.,vec3(1./256.0));highp vec4 pack(highp float value) {highp vec4 comp=fract(value*bitSh);comp-=comp.xxyz*bitMsk;return comp;}void main() {gl_FragColor=pack(v_depth);}\",\"attribute vec3 a_pos3d;uniform mat4 u_matrix;uniform float u_ele_delta;varying float v_depth;void main() {float ele=get_elevation(a_pos3d.xy);float ele_delta=a_pos3d.z==1.0 ? u_ele_delta : 0.0;gl_Position=u_matrix*vec4(a_pos3d.xy,ele-ele_delta,1.0);v_depth=gl_Position.z/gl_Position.w;}\"),terrainCoords:ye(\"precision mediump float;uniform sampler2D u_texture;uniform float u_terrain_coords_id;varying vec2 v_texture_pos;void main() {vec4 rgba=texture2D(u_texture,v_texture_pos);gl_FragColor=vec4(rgba.r,rgba.g,rgba.b,u_terrain_coords_id);}\",\"attribute vec3 a_pos3d;uniform mat4 u_matrix;uniform float u_ele_delta;varying vec2 v_texture_pos;void main() {float ele=get_elevation(a_pos3d.xy);float ele_delta=a_pos3d.z==1.0 ? u_ele_delta : 0.0;v_texture_pos=a_pos3d.xy/8192.0;gl_Position=u_matrix*vec4(a_pos3d.xy,ele-ele_delta,1.0);}\"),sky:ye(\"uniform vec4 u_sky_color;uniform vec4 u_horizon_color;uniform float u_horizon;uniform float u_sky_horizon_blend;void main() {float y=gl_FragCoord.y;if (y > u_horizon) {float blend=y-u_horizon;if (blend < u_sky_horizon_blend) {gl_FragColor=mix(u_sky_color,u_horizon_color,pow(1.0-blend/u_sky_horizon_blend,2.0));} else {gl_FragColor=u_sky_color;}}}\",\"attribute vec2 a_pos;void main() {gl_Position=vec4(a_pos,1.0,1.0);}\")};function ye(t,e){const r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n=e.match(/attribute ([\\w]+) ([\\w]+)/g),i=t.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),a=e.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),o=a?a.concat(i):i,s={};return{fragmentSource:t=t.replace(r,((t,e,r,n,i)=>(s[i]=!0,\"define\"===e?`\\n#ifndef HAS_UNIFORM_u_${i}\\nvarying ${r} ${n} ${i};\\n#else\\nuniform ${r} ${n} u_${i};\\n#endif\\n`:`\\n#ifdef HAS_UNIFORM_u_${i}\\n ${r} ${n} ${i} = u_${i};\\n#endif\\n`))),vertexSource:e=e.replace(r,((t,e,r,n,i)=>{const a=\"float\"===n?\"vec2\":\"vec4\",o=i.match(/color/)?\"color\":a;return s[i]?\"define\"===e?`\\n#ifndef HAS_UNIFORM_u_${i}\\nuniform lowp float u_${i}_t;\\nattribute ${r} ${a} a_${i};\\nvarying ${r} ${n} ${i};\\n#else\\nuniform ${r} ${n} u_${i};\\n#endif\\n`:\"vec4\"===o?`\\n#ifndef HAS_UNIFORM_u_${i}\\n ${i} = a_${i};\\n#else\\n ${r} ${n} ${i} = u_${i};\\n#endif\\n`:`\\n#ifndef HAS_UNIFORM_u_${i}\\n ${i} = unpack_mix_${o}(a_${i}, u_${i}_t);\\n#else\\n ${r} ${n} ${i} = u_${i};\\n#endif\\n`:\"define\"===e?`\\n#ifndef HAS_UNIFORM_u_${i}\\nuniform lowp float u_${i}_t;\\nattribute ${r} ${a} a_${i};\\n#else\\nuniform ${r} ${n} u_${i};\\n#endif\\n`:\"vec4\"===o?`\\n#ifndef HAS_UNIFORM_u_${i}\\n ${r} ${n} ${i} = a_${i};\\n#else\\n ${r} ${n} ${i} = u_${i};\\n#endif\\n`:`\\n#ifndef HAS_UNIFORM_u_${i}\\n ${r} ${n} ${i} = unpack_mix_${o}(a_${i}, u_${i}_t);\\n#else\\n ${r} ${n} ${i} = u_${i};\\n#endif\\n`})),staticAttributes:n,staticUniforms:o}}class ve{constructor(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null}bind(t,e,r,n,i,a,o,s,l){this.context=t;let c=this.boundPaintVertexBuffers.length!==n.length;for(let t=0;!c&&t({u_matrix:t,u_texture:0,u_ele_delta:r,u_fog_matrix:n,u_fog_color:i?i.properties.get(\"fog-color\"):e.aN.white,u_fog_ground_blend:i?i.properties.get(\"fog-ground-blend\"):1,u_fog_ground_blend_opacity:i?i.calculateFogBlendOpacity(a):0,u_horizon_color:i?i.properties.get(\"horizon-color\"):e.aN.white,u_horizon_fog_blend:i?i.properties.get(\"horizon-fog-blend\"):1});function _e(t){const e=[];for(let r=0;r({u_depth:new e.aI(t,r.u_depth),u_terrain:new e.aI(t,r.u_terrain),u_terrain_dim:new e.aJ(t,r.u_terrain_dim),u_terrain_matrix:new e.aK(t,r.u_terrain_matrix),u_terrain_unpack:new e.aL(t,r.u_terrain_unpack),u_terrain_exaggeration:new e.aJ(t,r.u_terrain_exaggeration)}))(t,b),this.binderUniforms=n?n.getUniforms(t,b):[]}draw(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y){const v=t.gl;if(this.failedToCreate)return;if(t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),s){t.activeTexture.set(v.TEXTURE2),v.bindTexture(v.TEXTURE_2D,s.depthTexture),t.activeTexture.set(v.TEXTURE3),v.bindTexture(v.TEXTURE_2D,s.texture);for(const t in this.terrainUniforms)this.terrainUniforms[t].set(s[t])}for(const t in this.fixedUniforms)this.fixedUniforms[t].set(o[t]);d&&d.setUniforms(t,this.binderUniforms,f,{zoom:p});let x=0;switch(e){case v.LINES:x=2;break;case v.TRIANGLES:x=3;break;case v.LINE_STRIP:x=1}for(const r of h.get()){const n=r.vaos||(r.vaos={});(n[l]||(n[l]=new ve)).bind(t,this,c,d?d.getPaintVertexBuffers():[],u,r.vertexOffset,m,g,y),v.drawElements(e,r.primitiveLength*x,v.UNSIGNED_SHORT,r.primitiveOffset*x*2)}}}function we(t,e,r){const n=1/Nt(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]}}const Te=(t,r,n,i)=>{const a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=function(){var t=new e.A(9);return e.A!=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}();\"viewport\"===a.properties.get(\"anchor\")&&function(t,e){var r=Math.sin(e),n=Math.cos(e);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}(l,-r.transform.angle),function(t,e,r){var n=e[0],i=e[1],a=e[2];t[0]=n*r[0]+i*r[3]+a*r[6],t[1]=n*r[1]+i*r[4]+a*r[7],t[2]=n*r[2]+i*r[5]+a*r[8]}(s,s,l);const c=a.properties.get(\"color\");return{u_matrix:t,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:i}},ke=(t,r,n,i,a,o,s)=>e.e(Te(t,r,n,i),we(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8}),Ae=t=>({u_matrix:t}),Me=(t,r,n,i)=>e.e(Ae(t),we(n,r,i)),Se=(t,e)=>({u_matrix:t,u_world:e}),Ee=(t,r,n,i,a)=>e.e(Me(t,r,n,i),{u_world:a}),Ce=(t,e,r,n)=>{const i=t.transform;let a,o;if(\"map\"===n.paint.get(\"circle-pitch-alignment\")){const t=Nt(r,1,i.zoom);a=!0,o=[t,t]}else a=!1,o=i.pixelsToGLUnits;return{u_camera_to_center_distance:i.cameraToCenterDistance,u_scale_with_map:+(\"map\"===n.paint.get(\"circle-pitch-scale\")),u_matrix:t.translatePosMatrix(e.posMatrix,r,n.paint.get(\"circle-translate\"),n.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.pixelRatio,u_extrude_scale:o}},Le=(t,e)=>({u_matrix:e,u_pixel_extrude_scale:[1/t.width,1/t.height]}),Ie=(t,e,r)=>({u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}),Pe=(t,e,r=1)=>({u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}),ze=t=>({u_matrix:t}),Oe=(t,e,r,n)=>({u_matrix:t,u_extrude_scale:Nt(e,1,r),u_intensity:n}),De=(t,r,n,i)=>{const a=e.H();e.aQ(a,0,t.width,t.height,0,0,1);const o=t.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\")}},Re=(t,e,r,n)=>{const i=r.paint.get(\"hillshade-shadow-color\"),a=r.paint.get(\"hillshade-highlight-color\"),o=r.paint.get(\"hillshade-accent-color\");let s=r.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===r.paint.get(\"hillshade-illumination-anchor\")&&(s-=t.transform.angle);const l=!t.options.moving;return{u_matrix:n?n.posMatrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped(),l),u_image:0,u_latrange:Be(0,e.tileID),u_light:[r.paint.get(\"hillshade-exaggeration\"),s],u_shadow:i,u_highlight:a,u_accent:o}},Fe=(t,r)=>{const n=r.stride,i=e.H();return e.aQ(i,0,e.X,-e.X,0,0,1),e.J(i,i,[0,-e.X,0]),{u_matrix:i,u_image:1,u_dimension:[n,n],u_zoom:t.overscaledZ,u_unpack:r.getUnpackVector()}};function Be(t,r){const n=Math.pow(2,r.canonical.z),i=r.canonical.y;return[new e.Z(0,i/n).toLngLat().lat,new e.Z(0,(i+1)/n).toLngLat().lat]}const Ne=(t,e,r,n)=>{const i=t.transform;return{u_matrix:He(t,e,r,n),u_ratio:1/Nt(e,1,i.zoom),u_device_pixel_ratio:t.pixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},je=(t,r,n,i,a)=>e.e(Ne(t,r,n,a),{u_image:0,u_image_height:i}),Ue=(t,e,r,n,i)=>{const a=t.transform,o=qe(e,a);return{u_matrix:He(t,e,r,i),u_texsize:e.imageAtlasTexture.size,u_ratio:1/Nt(e,1,a.zoom),u_device_pixel_ratio:t.pixelRatio,u_image:0,u_scale:[o,n.fromScale,n.toScale],u_fade:n.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Ve=(t,r,n,i,a,o)=>{const s=t.transform,l=t.lineAtlas,c=qe(r,s),u=\"round\"===n.layout.get(\"line-cap\"),h=l.getDash(i.from,u),f=l.getDash(i.to,u),p=h.width*a.fromScale,d=f.width*a.toScale;return e.e(Ne(t,r,n,o),{u_patternscale_a:[c/p,-h.height/2],u_patternscale_b:[c/d,-f.height/2],u_sdfgamma:l.width/(256*Math.min(p,d)*t.pixelRatio)/2,u_image:0,u_tex_y_a:h.y,u_tex_y_b:f.y,u_mix:a.t})};function qe(t,e){return 1/Nt(t,1,e.tileZoom)}function He(t,e,r,n){return t.translatePosMatrix(n?n.posMatrix:e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}const Ge=(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:Ze(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Ze(t){t*=Math.PI/180;const 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]}const We=(t,e,r,n,i,a,o,s,l,c,u,h,f,p)=>{const d=o.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:d.cameraToCenterDistance,u_pitch:d.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:d.width/d.height,u_fade_change:o.options.fadeDuration?o.symbolFadeChange:1,u_matrix:s,u_label_plane_matrix:l,u_coord_matrix:c,u_is_text:+h,u_pitch_with_map:+n,u_is_along_line:i,u_is_variable_anchor:a,u_texsize:f,u_texture:0,u_translation:u,u_pitched_scale:p}},Ye=(t,r,n,i,a,o,s,l,c,u,h,f,p,d,m)=>{const g=s.transform;return e.e(We(t,r,n,i,a,o,s,l,c,u,h,f,p,m),{u_gamma_scale:i?Math.cos(g._pitch)*g.cameraToCenterDistance:1,u_device_pixel_ratio:s.pixelRatio,u_is_halo:+d})},Xe=(t,r,n,i,a,o,s,l,c,u,h,f,p,d)=>e.e(Ye(t,r,n,i,a,o,s,l,c,u,h,!0,f,!0,d),{u_texsize_icon:p,u_texture_icon:1}),$e=(t,e,r)=>({u_matrix:t,u_opacity:e,u_color:r}),Je=(t,r,n,i,a,o)=>e.e(function(t,e,r,n){const i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),{width:o,height:s}=r.imageManager.getPixelSize(),l=Math.pow(2,n.tileID.overscaledZ),c=n.tileSize*Math.pow(2,r.transform.tileZoom)/l,u=c*(n.tileID.canonical.x+n.tileID.wrap*l),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:[o,s],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/Nt(n,1,r.transform.tileZoom),u_pixel_coord_upper:[u>>16,h>>16],u_pixel_coord_lower:[65535&u,65535&h]}}(i,o,n,a),{u_matrix:t,u_opacity:r}),Ke={fillExtrusion:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_lightpos:new e.aO(t,r.u_lightpos),u_lightintensity:new e.aJ(t,r.u_lightintensity),u_lightcolor:new e.aO(t,r.u_lightcolor),u_vertical_gradient:new e.aJ(t,r.u_vertical_gradient),u_opacity:new e.aJ(t,r.u_opacity)}),fillExtrusionPattern:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_lightpos:new e.aO(t,r.u_lightpos),u_lightintensity:new e.aJ(t,r.u_lightintensity),u_lightcolor:new e.aO(t,r.u_lightcolor),u_vertical_gradient:new e.aJ(t,r.u_vertical_gradient),u_height_factor:new e.aJ(t,r.u_height_factor),u_image:new e.aI(t,r.u_image),u_texsize:new e.aP(t,r.u_texsize),u_pixel_coord_upper:new e.aP(t,r.u_pixel_coord_upper),u_pixel_coord_lower:new e.aP(t,r.u_pixel_coord_lower),u_scale:new e.aO(t,r.u_scale),u_fade:new e.aJ(t,r.u_fade),u_opacity:new e.aJ(t,r.u_opacity)}),fill:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix)}),fillPattern:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_image:new e.aI(t,r.u_image),u_texsize:new e.aP(t,r.u_texsize),u_pixel_coord_upper:new e.aP(t,r.u_pixel_coord_upper),u_pixel_coord_lower:new e.aP(t,r.u_pixel_coord_lower),u_scale:new e.aO(t,r.u_scale),u_fade:new e.aJ(t,r.u_fade)}),fillOutline:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_world:new e.aP(t,r.u_world)}),fillOutlinePattern:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_world:new e.aP(t,r.u_world),u_image:new e.aI(t,r.u_image),u_texsize:new e.aP(t,r.u_texsize),u_pixel_coord_upper:new e.aP(t,r.u_pixel_coord_upper),u_pixel_coord_lower:new e.aP(t,r.u_pixel_coord_lower),u_scale:new e.aO(t,r.u_scale),u_fade:new e.aJ(t,r.u_fade)}),circle:(t,r)=>({u_camera_to_center_distance:new e.aJ(t,r.u_camera_to_center_distance),u_scale_with_map:new e.aI(t,r.u_scale_with_map),u_pitch_with_map:new e.aI(t,r.u_pitch_with_map),u_extrude_scale:new e.aP(t,r.u_extrude_scale),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_matrix:new e.aK(t,r.u_matrix)}),collisionBox:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_pixel_extrude_scale:new e.aP(t,r.u_pixel_extrude_scale)}),collisionCircle:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_inv_matrix:new e.aK(t,r.u_inv_matrix),u_camera_to_center_distance:new e.aJ(t,r.u_camera_to_center_distance),u_viewport_size:new e.aP(t,r.u_viewport_size)}),debug:(t,r)=>({u_color:new e.aM(t,r.u_color),u_matrix:new e.aK(t,r.u_matrix),u_overlay:new e.aI(t,r.u_overlay),u_overlay_scale:new e.aJ(t,r.u_overlay_scale)}),clippingMask:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix)}),heatmap:(t,r)=>({u_extrude_scale:new e.aJ(t,r.u_extrude_scale),u_intensity:new e.aJ(t,r.u_intensity),u_matrix:new e.aK(t,r.u_matrix)}),heatmapTexture:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_world:new e.aP(t,r.u_world),u_image:new e.aI(t,r.u_image),u_color_ramp:new e.aI(t,r.u_color_ramp),u_opacity:new e.aJ(t,r.u_opacity)}),hillshade:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_image:new e.aI(t,r.u_image),u_latrange:new e.aP(t,r.u_latrange),u_light:new e.aP(t,r.u_light),u_shadow:new e.aM(t,r.u_shadow),u_highlight:new e.aM(t,r.u_highlight),u_accent:new e.aM(t,r.u_accent)}),hillshadePrepare:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_image:new e.aI(t,r.u_image),u_dimension:new e.aP(t,r.u_dimension),u_zoom:new e.aJ(t,r.u_zoom),u_unpack:new e.aL(t,r.u_unpack)}),line:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_ratio:new e.aJ(t,r.u_ratio),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_units_to_pixels:new e.aP(t,r.u_units_to_pixels)}),lineGradient:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_ratio:new e.aJ(t,r.u_ratio),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_units_to_pixels:new e.aP(t,r.u_units_to_pixels),u_image:new e.aI(t,r.u_image),u_image_height:new e.aJ(t,r.u_image_height)}),linePattern:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_texsize:new e.aP(t,r.u_texsize),u_ratio:new e.aJ(t,r.u_ratio),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_image:new e.aI(t,r.u_image),u_units_to_pixels:new e.aP(t,r.u_units_to_pixels),u_scale:new e.aO(t,r.u_scale),u_fade:new e.aJ(t,r.u_fade)}),lineSDF:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_ratio:new e.aJ(t,r.u_ratio),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_units_to_pixels:new e.aP(t,r.u_units_to_pixels),u_patternscale_a:new e.aP(t,r.u_patternscale_a),u_patternscale_b:new e.aP(t,r.u_patternscale_b),u_sdfgamma:new e.aJ(t,r.u_sdfgamma),u_image:new e.aI(t,r.u_image),u_tex_y_a:new e.aJ(t,r.u_tex_y_a),u_tex_y_b:new e.aJ(t,r.u_tex_y_b),u_mix:new e.aJ(t,r.u_mix)}),raster:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_tl_parent:new e.aP(t,r.u_tl_parent),u_scale_parent:new e.aJ(t,r.u_scale_parent),u_buffer_scale:new e.aJ(t,r.u_buffer_scale),u_fade_t:new e.aJ(t,r.u_fade_t),u_opacity:new e.aJ(t,r.u_opacity),u_image0:new e.aI(t,r.u_image0),u_image1:new e.aI(t,r.u_image1),u_brightness_low:new e.aJ(t,r.u_brightness_low),u_brightness_high:new e.aJ(t,r.u_brightness_high),u_saturation_factor:new e.aJ(t,r.u_saturation_factor),u_contrast_factor:new e.aJ(t,r.u_contrast_factor),u_spin_weights:new e.aO(t,r.u_spin_weights)}),symbolIcon:(t,r)=>({u_is_size_zoom_constant:new e.aI(t,r.u_is_size_zoom_constant),u_is_size_feature_constant:new e.aI(t,r.u_is_size_feature_constant),u_size_t:new e.aJ(t,r.u_size_t),u_size:new e.aJ(t,r.u_size),u_camera_to_center_distance:new e.aJ(t,r.u_camera_to_center_distance),u_pitch:new e.aJ(t,r.u_pitch),u_rotate_symbol:new e.aI(t,r.u_rotate_symbol),u_aspect_ratio:new e.aJ(t,r.u_aspect_ratio),u_fade_change:new e.aJ(t,r.u_fade_change),u_matrix:new e.aK(t,r.u_matrix),u_label_plane_matrix:new e.aK(t,r.u_label_plane_matrix),u_coord_matrix:new e.aK(t,r.u_coord_matrix),u_is_text:new e.aI(t,r.u_is_text),u_pitch_with_map:new e.aI(t,r.u_pitch_with_map),u_is_along_line:new e.aI(t,r.u_is_along_line),u_is_variable_anchor:new e.aI(t,r.u_is_variable_anchor),u_texsize:new e.aP(t,r.u_texsize),u_texture:new e.aI(t,r.u_texture),u_translation:new e.aP(t,r.u_translation),u_pitched_scale:new e.aJ(t,r.u_pitched_scale)}),symbolSDF:(t,r)=>({u_is_size_zoom_constant:new e.aI(t,r.u_is_size_zoom_constant),u_is_size_feature_constant:new e.aI(t,r.u_is_size_feature_constant),u_size_t:new e.aJ(t,r.u_size_t),u_size:new e.aJ(t,r.u_size),u_camera_to_center_distance:new e.aJ(t,r.u_camera_to_center_distance),u_pitch:new e.aJ(t,r.u_pitch),u_rotate_symbol:new e.aI(t,r.u_rotate_symbol),u_aspect_ratio:new e.aJ(t,r.u_aspect_ratio),u_fade_change:new e.aJ(t,r.u_fade_change),u_matrix:new e.aK(t,r.u_matrix),u_label_plane_matrix:new e.aK(t,r.u_label_plane_matrix),u_coord_matrix:new e.aK(t,r.u_coord_matrix),u_is_text:new e.aI(t,r.u_is_text),u_pitch_with_map:new e.aI(t,r.u_pitch_with_map),u_is_along_line:new e.aI(t,r.u_is_along_line),u_is_variable_anchor:new e.aI(t,r.u_is_variable_anchor),u_texsize:new e.aP(t,r.u_texsize),u_texture:new e.aI(t,r.u_texture),u_gamma_scale:new e.aJ(t,r.u_gamma_scale),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_is_halo:new e.aI(t,r.u_is_halo),u_translation:new e.aP(t,r.u_translation),u_pitched_scale:new e.aJ(t,r.u_pitched_scale)}),symbolTextAndIcon:(t,r)=>({u_is_size_zoom_constant:new e.aI(t,r.u_is_size_zoom_constant),u_is_size_feature_constant:new e.aI(t,r.u_is_size_feature_constant),u_size_t:new e.aJ(t,r.u_size_t),u_size:new e.aJ(t,r.u_size),u_camera_to_center_distance:new e.aJ(t,r.u_camera_to_center_distance),u_pitch:new e.aJ(t,r.u_pitch),u_rotate_symbol:new e.aI(t,r.u_rotate_symbol),u_aspect_ratio:new e.aJ(t,r.u_aspect_ratio),u_fade_change:new e.aJ(t,r.u_fade_change),u_matrix:new e.aK(t,r.u_matrix),u_label_plane_matrix:new e.aK(t,r.u_label_plane_matrix),u_coord_matrix:new e.aK(t,r.u_coord_matrix),u_is_text:new e.aI(t,r.u_is_text),u_pitch_with_map:new e.aI(t,r.u_pitch_with_map),u_is_along_line:new e.aI(t,r.u_is_along_line),u_is_variable_anchor:new e.aI(t,r.u_is_variable_anchor),u_texsize:new e.aP(t,r.u_texsize),u_texsize_icon:new e.aP(t,r.u_texsize_icon),u_texture:new e.aI(t,r.u_texture),u_texture_icon:new e.aI(t,r.u_texture_icon),u_gamma_scale:new e.aJ(t,r.u_gamma_scale),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_is_halo:new e.aI(t,r.u_is_halo),u_translation:new e.aP(t,r.u_translation),u_pitched_scale:new e.aJ(t,r.u_pitched_scale)}),background:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_opacity:new e.aJ(t,r.u_opacity),u_color:new e.aM(t,r.u_color)}),backgroundPattern:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_opacity:new e.aJ(t,r.u_opacity),u_image:new e.aI(t,r.u_image),u_pattern_tl_a:new e.aP(t,r.u_pattern_tl_a),u_pattern_br_a:new e.aP(t,r.u_pattern_br_a),u_pattern_tl_b:new e.aP(t,r.u_pattern_tl_b),u_pattern_br_b:new e.aP(t,r.u_pattern_br_b),u_texsize:new e.aP(t,r.u_texsize),u_mix:new e.aJ(t,r.u_mix),u_pattern_size_a:new e.aP(t,r.u_pattern_size_a),u_pattern_size_b:new e.aP(t,r.u_pattern_size_b),u_scale_a:new e.aJ(t,r.u_scale_a),u_scale_b:new e.aJ(t,r.u_scale_b),u_pixel_coord_upper:new e.aP(t,r.u_pixel_coord_upper),u_pixel_coord_lower:new e.aP(t,r.u_pixel_coord_lower),u_tile_units_to_pixels:new e.aJ(t,r.u_tile_units_to_pixels)}),terrain:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_texture:new e.aI(t,r.u_texture),u_ele_delta:new e.aJ(t,r.u_ele_delta),u_fog_matrix:new e.aK(t,r.u_fog_matrix),u_fog_color:new e.aM(t,r.u_fog_color),u_fog_ground_blend:new e.aJ(t,r.u_fog_ground_blend),u_fog_ground_blend_opacity:new e.aJ(t,r.u_fog_ground_blend_opacity),u_horizon_color:new e.aM(t,r.u_horizon_color),u_horizon_fog_blend:new e.aJ(t,r.u_horizon_fog_blend)}),terrainDepth:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_ele_delta:new e.aJ(t,r.u_ele_delta)}),terrainCoords:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_texture:new e.aI(t,r.u_texture),u_terrain_coords_id:new e.aJ(t,r.u_terrain_coords_id),u_ele_delta:new e.aJ(t,r.u_ele_delta)}),sky:(t,r)=>({u_sky_color:new e.aM(t,r.u_sky_color),u_horizon_color:new e.aM(t,r.u_horizon_color),u_horizon:new e.aJ(t,r.u_horizon),u_sky_horizon_blend:new e.aJ(t,r.u_sky_horizon_blend)})};class Qe{constructor(t,e,r){this.context=t;const 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}bind(){this.context.bindElementBuffer.set(this.buffer)}updateData(t){const e=this.context.gl;if(!this.dynamicDraw)throw new Error(\"Attempted to update data while not in dynamic mode.\");this.context.unbindVAO(),this.bind(),e.bufferSubData(e.ELEMENT_ARRAY_BUFFER,0,t.arrayBuffer)}destroy(){const t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)}}const tr={Int8:\"BYTE\",Uint8:\"UNSIGNED_BYTE\",Int16:\"SHORT\",Uint16:\"UNSIGNED_SHORT\",Int32:\"INT\",Uint32:\"UNSIGNED_INT\",Float32:\"FLOAT\"};class er{constructor(t,e,r,n){this.length=e.length,this.attributes=r,this.itemSize=e.bytesPerElement,this.dynamicDraw=n,this.context=t;const 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}bind(){this.context.bindVertexBuffer.set(this.buffer)}updateData(t){if(t.length!==this.length)throw new Error(`Length of new data is ${t.length}, which doesn't match current length of ${this.length}`);const e=this.context.gl;this.bind(),e.bufferSubData(e.ARRAY_BUFFER,0,t.arrayBuffer)}enableAttributes(t,e){for(let r=0;r0){const r=e.H();e.aR(r,d.placementInvProjMatrix,t.transform.glCoordMatrix),e.aR(r,r,d.placementViewportMatrix),c.push({circleArray:g,circleOffset:h,transform:p.posMatrix,invTransform:r,coord:p}),u+=g.length/4,h=u}m&&l.draw(o,s.LINES,qr.disabled,Gr.disabled,t.colorModeForRenderPass(),Zr.disabled,Le(t.transform,p.posMatrix),t.style.map.terrain&&t.style.map.terrain.getTerrainData(p),n.id,m.layoutVertexBuffer,m.indexBuffer,m.segments,null,t.transform.zoom,null,null,m.collisionVertexBuffer)}if(!a||!c.length)return;const f=t.useProgram(\"collisionCircle\"),p=new e.aS;p.resize(4*u),p._trim();let d=0;for(const t of c)for(let e=0;er.style.map.terrain.getElevation(a,t,e):null,i=h.translatePosition(u,t,s,l);Qr(o,f,p,c,u,y,a.posMatrix,e,m,v,h,i,a.toUnwrapped(),n)}}}(i,t,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),a),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&en(t,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)&&en(t,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&&(Yr(t,r,n,i,!0),Yr(t,r,n,i,!1))}function Jr(t,r,n,i,a,o){const{horizontalAlign:s,verticalAlign:l}=e.av(t),c=-(s-.5)*r,u=-(l-.5)*n;return new e.P((c/a+i[0])*o,(u/a+i[1])*o)}function Kr(t,r,n,i,a,o){const s=r.tileAnchorPoint.add(new e.P(r.translation[0],r.translation[1]));if(r.pitchWithMap){let t=i.mult(o);return n||(t=t.rotate(-a)),wt(s.add(t),r.labelPlaneMatrix,r.getElevation).point}if(n){const e=It(r.tileAnchorPoint.x+1,r.tileAnchorPoint.y,r).point.sub(t),n=Math.atan(e.y/e.x)+(e.x<0?Math.PI:0);return t.add(i.rotate(n))}return t.add(i)}function Qr(t,r,n,i,a,o,s,l,c,u,h,f,p,d){const m=t.text.placedSymbolArray,g=t.text.dynamicLayoutVertexArray,y=t.icon.dynamicLayoutVertexArray,v={};g.clear();for(let y=0;y=0&&(v[x.associatedIconIndex]={shiftedAnchor:L,angle:I})}else Rt(x.numGlyphs,g)}if(u){y.clear();const r=t.icon.placedSymbolArray;for(let t=0;tt.style.map.terrain.getElevation(l,e,r):null,r=\"map\"===n.layout.get(\"text-rotation-alignment\");At(c,l.posMatrix,t,a,j,V,v,u,r,g,l.toUnwrapped(),m.width,m.height,q,e)}const Z=l.posMatrix,W=a&&A||G,Y=x||W?Xr:j,X=U,$=p&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1);let J;J=p?c.iconsInText?Xe(k.kind,L,_,v,x,W,t,Z,Y,X,q,P,R,S):Ye(k.kind,L,_,v,x,W,t,Z,Y,X,q,a,P,!0,S):We(k.kind,L,_,v,x,W,t,Z,Y,X,q,a,P,S);const K={program:C,buffers:h,uniformValues:J,atlasTexture:z,atlasTextureIcon:F,atlasInterpolation:O,atlasInterpolationIcon:D,isSDF:p,hasHalo:$};if(w&&c.canOverlap){T=!0;const t=h.segments.get();for(const r of t)M.push({segments:new e.a0([r]),sortKey:r.sortKey,state:K,terrainData:I})}else M.push({segments:h.segments,sortKey:0,state:K,terrainData:I})}T&&M.sort(((t,e)=>t.sortKey-e.sortKey));for(const e of M){const r=e.state;if(p.activeTexture.set(d.TEXTURE0),r.atlasTexture.bind(r.atlasInterpolation,d.CLAMP_TO_EDGE),r.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),r.atlasTextureIcon&&r.atlasTextureIcon.bind(r.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),r.isSDF){const i=r.uniformValues;r.hasHalo&&(i.u_is_halo=1,rn(r.buffers,e.segments,n,t,r.program,k,h,f,i,e.terrainData)),i.u_is_halo=0}rn(r.buffers,e.segments,n,t,r.program,k,h,f,r.uniformValues,e.terrainData)}}function rn(t,e,r,n,i,a,o,s,l,c){const u=n.context,h=u.gl;i.draw(u,h.TRIANGLES,a,o,s,Zr.disabled,l,c,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function nn(t,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===t.renderPass){const a=t.context,o=a.gl,s=Gr.disabled,l=new Ur([o.ONE,o.ONE],e.aN.transparent,[!0,!0,!0,!0]);(function(t,e,r){const n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);let i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{const 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,!1),function(t,e,r,n){var i,a;const o=t.gl,s=null!==(i=t.HALF_FLOAT)&&void 0!==i?i:o.UNSIGNED_BYTE,l=null!==(a=t.RGBA16F)&&void 0!==a?a:o.RGBA;o.texImage2D(o.TEXTURE_2D,0,l,e.width/4,e.height/4,0,o.RGBA,s,null),n.colorAttachment.set(r)}(t,e,a,i)}})(a,t,n),a.clear({color:e.aN.transparent});for(let e=0;e0){const i=a.now(),s=(i-t.timeAdded)/l,c=r?(i-r.timeAdded)/l:-1,u=n.getSource(),h=o.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),f=!r||Math.abs(r.tileID.overscaledZ-h)>Math.abs(t.tileID.overscaledZ-h),p=f&&t.refreshedUponExpiration?1:e.ad(f?s:1-c,0,1);return t.refreshedUponExpiration&&s>=1&&(t.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}const hn=new e.aN(1,0,0,1),fn=new e.aN(0,1,0,1),pn=new e.aN(0,0,1,1),dn=new e.aN(1,0,1,1),mn=new e.aN(0,1,1,1);function gn(t){const e=t.transform.padding;yn(t,t.transform.height-(e.top||0),3,hn),yn(t,e.bottom||0,3,fn),vn(t,e.left||0,3,pn),vn(t,t.transform.width-(e.right||0),3,dn);const r=t.transform.centerPoint;!function(t,e,r,n){const i=20,a=2;xn(t,e-a/2,r-i/2,a,i,n),xn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,mn)}function yn(t,e,r,n){xn(t,0,e+r/2,t.transform.width,r,n)}function vn(t,e,r,n){xn(t,e-r/2,0,r,t.transform.height,n)}function xn(t,e,r,n,i,a){const o=t.context,s=o.gl;s.enable(s.SCISSOR_TEST),s.scissor(e*t.pixelRatio,r*t.pixelRatio,n*t.pixelRatio,i*t.pixelRatio),o.clear({color:a}),s.disable(s.SCISSOR_TEST)}function _n(t,r,n){const i=t.context,a=i.gl,o=n.posMatrix,s=t.useProgram(\"debug\"),l=qr.disabled,c=Gr.disabled,u=t.colorModeForRenderPass(),h=\"$debug\",f=t.style.map.terrain&&t.style.map.terrain.getTerrainData(n);i.activeTexture.set(a.TEXTURE0);const p=r.getTileByID(n.key).latestRawTileData,d=p&&p.byteLength||0,m=Math.floor(d/1024),g=r.getTile(n).tileSize,y=512/Math.min(g,512)*(n.overscaledZ/t.transform.zoom)*.5;let v=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(v+=` => ${n.overscaledZ}`),function(t,e){t.initDebugOverlayCanvas();const r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(t,`${v} ${m}kB`),s.draw(i,a.TRIANGLES,l,c,Ur.alphaBlended,Zr.disabled,Pe(o,e.aN.transparent,y),null,h,t.debugBuffer,t.quadTriangleIndexBuffer,t.debugSegments),s.draw(i,a.LINE_STRIP,l,c,u,Zr.disabled,Pe(o,e.aN.red),f,h,t.debugBuffer,t.tileBorderIndexBuffer,t.debugSegments)}function bn(t,e,r){const n=t.context,i=n.gl,a=t.colorModeForRenderPass(),o=new qr(i.LEQUAL,qr.ReadWrite,t.depthRangeFor3D),s=t.useProgram(\"terrain\"),l=e.getTerrainMesh();n.bindFramebuffer.set(null),n.viewport.set([0,0,t.width,t.height]);for(const c of r){const r=t.renderToTexture.getTexture(c),u=e.getTerrainData(c.tileID);n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,r.texture);const h=t.transform.calculatePosMatrix(c.tileID.toUnwrapped()),f=e.getMeshFrameDelta(t.transform.zoom),p=t.transform.calculateFogMatrix(c.tileID.toUnwrapped()),d=xe(h,f,p,t.style.sky,t.transform.pitch);s.draw(n,i.TRIANGLES,o,Gr.disabled,a,Zr.backCCW,d,u,\"terrain\",l.vertexBuffer,l.indexBuffer,l.segments)}}class wn{constructor(t,e,r){this.vertexBuffer=t,this.indexBuffer=e,this.segments=r}destroy(){this.vertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.vertexBuffer=null,this.indexBuffer=null,this.segments=null}}class Tn{constructor(t,r){this.context=new Vr(t),this.transform=r,this._tileTextures={},this.terrainFacilitator={dirty:!0,matrix:e.ao(new Float64Array(16)),renderTime:0},this.setup(),this.numSublayers=dt.maxUnderzooming+dt.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new he}resize(t,e,r){if(this.width=Math.floor(t*r),this.height=Math.floor(e*r),this.pixelRatio=r,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(const t of this.style._order)this.style._layers[t].resize()}setup(){const t=this.context,r=new e.aX;r.emplaceBack(0,0),r.emplaceBack(e.X,0),r.emplaceBack(0,e.X),r.emplaceBack(e.X,e.X),this.tileExtentBuffer=t.createVertexBuffer(r,me.members),this.tileExtentSegments=e.a0.simpleSegment(0,0,4,2);const n=new e.aX;n.emplaceBack(0,0),n.emplaceBack(e.X,0),n.emplaceBack(0,e.X),n.emplaceBack(e.X,e.X),this.debugBuffer=t.createVertexBuffer(n,me.members),this.debugSegments=e.a0.simpleSegment(0,0,4,5);const i=new e.$;i.emplaceBack(0,0,0,0),i.emplaceBack(e.X,0,e.X,0),i.emplaceBack(0,e.X,0,e.X),i.emplaceBack(e.X,e.X,e.X,e.X),this.rasterBoundsBuffer=t.createVertexBuffer(i,et.members),this.rasterBoundsSegments=e.a0.simpleSegment(0,0,4,2);const a=new e.aX;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=t.createVertexBuffer(a,me.members),this.viewportSegments=e.a0.simpleSegment(0,0,4,2);const o=new e.aZ;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=t.createIndexBuffer(o);const s=new e.aY;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=t.createIndexBuffer(s);const l=this.context.gl;this.stencilClearMode=new Gr({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)}clearStencil(){const t=this.context,r=t.gl;this.nextStencilID=1,this.currentStencilSource=void 0;const n=e.H();e.aQ(n,0,this.width,this.height,0,0,1),e.K(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(t,r.TRIANGLES,qr.disabled,this.stencilClearMode,Ur.disabled,Zr.disabled,ze(n),null,\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)}_renderTileClippingMasks(t,e){if(this.currentStencilSource===t.source||!t.isTileClipped()||!e||!e.length)return;this.currentStencilSource=t.source;const r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(Ur.disabled),r.setDepthMode(qr.disabled);const i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(const t of e){const e=this._tileClippingMaskIDs[t.key]=this.nextStencilID++,a=this.style.map.terrain&&this.style.map.terrain.getTerrainData(t);i.draw(r,n.TRIANGLES,qr.disabled,new Gr({func:n.ALWAYS,mask:0},e,255,n.KEEP,n.KEEP,n.REPLACE),Ur.disabled,Zr.disabled,ze(t.posMatrix),a,\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}stencilModeFor3D(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();const t=this.nextStencilID++,e=this.context.gl;return new Gr({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)}stencilModeForClipping(t){const e=this.context.gl;return new Gr({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)}stencilConfigForOverlap(t){const e=this.context.gl,r=t.sort(((t,e)=>e.overscaledZ-t.overscaledZ)),n=r[r.length-1].overscaledZ,i=r[0].overscaledZ-n+1;if(i>1){this.currentStencilSource=void 0,this.nextStencilID+i>256&&this.clearStencil();const t={};for(let r=0;r({u_sky_color:t.properties.get(\"sky-color\"),u_horizon_color:t.properties.get(\"horizon-color\"),u_horizon:(e.height/2+e.getHorizon())*r,u_sky_horizon_blend:t.properties.get(\"sky-horizon-blend\")*e.height/2*r}))(r,t.style.map.transform,t.pixelRatio),o=new qr(i.LEQUAL,qr.ReadWrite,[0,1]),s=Gr.disabled,l=t.colorModeForRenderPass(),c=t.useProgram(\"sky\");if(!r.mesh){const t=new e.aX;t.emplaceBack(-1,-1),t.emplaceBack(1,-1),t.emplaceBack(1,1),t.emplaceBack(-1,1);const i=new e.aY;i.emplaceBack(0,1,2),i.emplaceBack(0,2,3),r.mesh=new wn(n.createVertexBuffer(t,me.members),n.createIndexBuffer(i),e.a0.simpleSegment(0,0,t.length,i.length))}c.draw(n,i.TRIANGLES,o,s,l,Zr.disabled,a,void 0,\"sky\",r.mesh.vertexBuffer,r.mesh.indexBuffer,r.mesh.segments)}(this,this.style.sky),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(t._order.length+2)*this.numSublayers*this.depthEpsilon],!this.renderToTexture)for(this.renderPass=\"opaque\",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){const t=this.style._layers[i[this.currentLayer]],e=o[t.source],r=s[t.source];this._renderTileClippingMasks(t,r),this.renderLayer(this,e,t,r)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayerr.source&&!r.isHidden(e)?[t.sourceCaches[r.source]]:[])),i=n.filter((t=>\"vector\"===t.getSource().type)),a=n.filter((t=>\"vector\"!==t.getSource().type)),o=t=>{(!r||r.getSource().maxzoomo(t))),r||a.forEach((t=>o(t))),r}(this.style,this.transform.zoom);t&&function(t,e,r){for(let n=0;n0),i&&(e.b0(r,n),this.terrainFacilitator.renderTime=Date.now(),this.terrainFacilitator.dirty=!1,function(t,r){const n=t.context,i=n.gl,a=Ur.unblended,o=new qr(i.LEQUAL,qr.ReadWrite,[0,1]),s=r.getTerrainMesh(),l=r.sourceCache.getRenderableTiles(),c=t.useProgram(\"terrainDepth\");n.bindFramebuffer.set(r.getFramebuffer(\"depth\").framebuffer),n.viewport.set([0,0,t.width/devicePixelRatio,t.height/devicePixelRatio]),n.clear({color:e.aN.transparent,depth:1});for(const e of l){const l=r.getTerrainData(e.tileID),u={u_matrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped()),u_ele_delta:r.getMeshFrameDelta(t.transform.zoom)};c.draw(n,i.TRIANGLES,o,Gr.disabled,a,Zr.backCCW,u,l,\"terrain\",s.vertexBuffer,s.indexBuffer,s.segments)}n.bindFramebuffer.set(null),n.viewport.set([0,0,t.width,t.height])}(this,this.style.map.terrain),function(t,r){const n=t.context,i=n.gl,a=Ur.unblended,o=new qr(i.LEQUAL,qr.ReadWrite,[0,1]),s=r.getTerrainMesh(),l=r.getCoordsTexture(),c=r.sourceCache.getRenderableTiles(),u=t.useProgram(\"terrainCoords\");n.bindFramebuffer.set(r.getFramebuffer(\"coords\").framebuffer),n.viewport.set([0,0,t.width/devicePixelRatio,t.height/devicePixelRatio]),n.clear({color:e.aN.transparent,depth:1}),r.coordsIndex=[];for(const e of c){const c=r.getTerrainData(e.tileID);n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,l.texture);const h={u_matrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped()),u_terrain_coords_id:(255-r.coordsIndex.length)/255,u_texture:0,u_ele_delta:r.getMeshFrameDelta(t.transform.zoom)};u.draw(n,i.TRIANGLES,o,Gr.disabled,a,Zr.backCCW,h,c,\"terrain\",s.vertexBuffer,s.indexBuffer,s.segments),r.coordsIndex.push(e.tileID.key)}n.bindFramebuffer.set(null),n.viewport.set([0,0,t.width,t.height])}(this,this.style.map.terrain))}renderLayer(t,r,n,i){if(!n.isHidden(this.transform.zoom)&&(\"background\"===n.type||\"custom\"===n.type||(i||[]).length))switch(this.id=n.id,n.type){case\"symbol\":$r(t,r,n,i,this.style.placement.variableOffsets);break;case\"circle\":!function(t,r,n,i){if(\"translucent\"!==t.renderPass)return;const a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=!n.layout.get(\"circle-sort-key\").isConstant();if(0===a.constantOr(1)&&(0===o.constantOr(1)||0===s.constantOr(1)))return;const c=t.context,u=c.gl,h=t.depthModeForSublayer(0,qr.ReadOnly),f=Gr.disabled,p=t.colorModeForRenderPass(),d=[];for(let a=0;at.sortKey-e.sortKey));for(const e of d){const{programConfiguration:r,program:i,layoutVertexBuffer:a,indexBuffer:o,uniformValues:s,terrainData:l}=e.state,d=e.segments;i.draw(c,u.TRIANGLES,h,f,p,Zr.disabled,s,l,n.id,a,o,d,n.paint,t.transform.zoom,r)}}(t,r,n,i);break;case\"heatmap\":nn(t,r,n,i);break;case\"line\":!function(t,r,n,i){if(\"translucent\"!==t.renderPass)return;const a=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0===a.constantOr(1)||0===o.constantOr(1))return;const s=t.depthModeForSublayer(0,qr.ReadOnly),l=t.colorModeForRenderPass(),c=n.paint.get(\"line-dasharray\"),u=n.paint.get(\"line-pattern\"),h=u.constantOr(1),f=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=h?\"linePattern\":c?\"lineSDF\":f?\"lineGradient\":\"line\",m=t.context,g=m.gl;let y=!0;for(const a of i){const i=r.getTile(a);if(h&&!i.patternsLoaded())continue;const o=i.getBucket(n);if(!o)continue;const v=o.programConfigurations.get(n.id),x=t.context.program.get(),_=t.useProgram(d,v),b=y||_.program!==x,T=t.style.map.terrain&&t.style.map.terrain.getTerrainData(a),k=u.constantOr(null);if(k&&i.imageAtlas){const t=i.imageAtlas,e=t.patternPositions[k.to.toString()],r=t.patternPositions[k.from.toString()];e&&r&&v.setConstantPatternPositions(e,r)}const A=T?a:null,M=h?Ue(t,i,n,p,A):c?Ve(t,i,n,c,p,A):f?je(t,i,n,o.lineClipsArray.length,A):Ne(t,i,n,A);if(h)m.activeTexture.set(g.TEXTURE0),i.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),v.updatePaintBuffers(p);else if(c&&(b||t.lineAtlas.dirty))m.activeTexture.set(g.TEXTURE0),t.lineAtlas.bind(m);else if(f){const i=o.gradients[n.id];let s=i.texture;if(n.gradientVersion!==i.version){let l=256;if(n.stepInterpolant){const n=r.getSource().maxzoom,i=a.canonical.z===n?Math.ceil(1<20&&a.texParameterf(a.TEXTURE_2D,i.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,i.extTextureFilterAnisotropicMax);const _=t.style.map.terrain&&t.style.map.terrain.getTerrainData(n),b=_?n:null,w=b?b.posMatrix:t.transform.calculatePosMatrix(n.toUnwrapped(),f),T=Ge(w,v||[0,0],y||1,g,r);o instanceof rt?s.draw(i,a.TRIANGLES,u,Gr.disabled,l,Zr.disabled,T,_,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,u,c[n.overscaledZ],l,Zr.disabled,T,_,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}(t,r,n,i);break;case\"background\":!function(t,e,r,n){const i=r.paint.get(\"background-color\"),a=r.paint.get(\"background-opacity\");if(0===a)return;const o=t.context,s=o.gl,l=t.transform,c=l.tileSize,u=r.paint.get(\"background-pattern\");if(t.isPatternMissing(u))return;const h=!u&&1===i.a&&1===a&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass!==h)return;const f=Gr.disabled,p=t.depthModeForSublayer(0,\"opaque\"===h?qr.ReadWrite:qr.ReadOnly),d=t.colorModeForRenderPass(),m=t.useProgram(u?\"backgroundPattern\":\"background\"),g=n||l.coveringTiles({tileSize:c,terrain:t.style.map.terrain});u&&(o.activeTexture.set(s.TEXTURE0),t.imageManager.bind(t.context));const y=r.getCrossfadeParameters();for(const e of g){const l=n?e.posMatrix:t.transform.calculatePosMatrix(e.toUnwrapped()),h=u?Je(l,a,t,u,{tileID:e,tileSize:c},y):$e(l,a,i),g=t.style.map.terrain&&t.style.map.terrain.getTerrainData(e);m.draw(o,s.TRIANGLES,p,f,d,Zr.disabled,h,g,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}(t,0,n,i);break;case\"custom\":!function(t,e,r){const n=t.context,i=r.implementation;if(\"offscreen\"===t.renderPass){const e=i.prerender;e&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),e.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Gr.disabled);const e=\"3d\"===i.renderingMode?new qr(t.context.gl.LEQUAL,qr.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,qr.ReadOnly);n.setDepthMode(e),i.render(n.gl,t.transform.customLayerMatrix(),{farZ:t.transform.farZ,nearZ:t.transform.nearZ,fov:t.transform._fov,modelViewProjectionMatrix:t.transform.modelViewProjectionMatrix,projectionMatrix:t.transform.projectionMatrix}),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}(t,0,n)}}translatePosMatrix(t,r,n,i,a){if(!n[0]&&!n[1])return t;const o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){const t=Math.sin(o),e=Math.cos(o);n=[n[0]*e-n[1]*t,n[0]*t+n[1]*e]}const s=[a?n[0]:Nt(r,n[0],this.transform.zoom),a?n[1]:Nt(r,n[1],this.transform.zoom),0],l=new Float32Array(16);return e.J(l,t,s),l}saveTileTexture(t){const e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]}getTileTexture(t){const e=this._tileTextures[t];return e&&e.length>0?e.pop():null}isPatternMissing(t){if(!t)return!1;if(!t.from||!t.to)return!0;const e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r}useProgram(t,e){this.cache=this.cache||{};const r=t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\")+(this.style.map.terrain?\"/terrain\":\"\");return this.cache[r]||(this.cache[r]=new be(this.context,ge[t],e,Ke[t],this._showOverdrawInspector,this.style.map.terrain)),this.cache[r]}setCustomLayerDefaults(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()}setBaseState(){const 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)}initDebugOverlayCanvas(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;const t=this.context.gl;this.debugOverlayTexture=new w(this.context,this.debugOverlayCanvas,t.RGBA)}}destroy(){this.debugOverlayTexture&&this.debugOverlayTexture.destroy()}overLimit(){const{drawingBufferWidth:t,drawingBufferHeight:e}=this.context.gl;return this.width!==t||this.height!==e}}class kn{constructor(t,e){this.points=t,this.planes=e}static fromInvProjectionMatrix(t,r,n){const 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((n=>{const a=1/(n=e.ag([],n,t))[3]/r*i;return e.b1(n,n,[a,a,1/n[3],a])})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((t=>{const e=function(t,e){var r=e[0],n=e[1],i=e[2],a=r*r+n*n+i*i;return a>0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t}([],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}([],y([],a[t[0]],a[t[1]]),y([],a[t[2]],a[t[1]]))),r=(n=e,i=a[t[1]],-(n[0]*i[0]+n[1]*i[1]+n[2]*i[2]));var n,i;return e.concat(r)}));return new kn(a,o)}}class An{constructor(t,e){this.min=t,this.max=e,this.center=function(t,e,r){return t[0]=e[0]*r,t[1]=e[1]*r,t[2]=e[2]*r,t}([],function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t}([],this.min,this.max),.5)}quadrant(t){const e=[t%2==0,t<2],r=m(this.min),n=m(this.max);for(let t=0;t=0&&o++;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(let e=0;e<3;e++){let r=Number.MAX_VALUE,n=-Number.MAX_VALUE;for(let i=0;ithis.max[e]-this.min[e])return 0}return 1}}class Mn{constructor(t=0,e=0,r=0,n=0){if(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}interpolate(t,r,n){return null!=r.top&&null!=t.top&&(this.top=e.z.number(t.top,r.top,n)),null!=r.bottom&&null!=t.bottom&&(this.bottom=e.z.number(t.bottom,r.bottom,n)),null!=r.left&&null!=t.left&&(this.left=e.z.number(t.left,r.left,n)),null!=r.right&&null!=t.right&&(this.right=e.z.number(t.right,r.right,n)),this}getCenter(t,r){const n=e.ad((this.left+t-this.right)/2,0,t),i=e.ad((this.top+r-this.bottom)/2,0,r);return new e.P(n,i)}equals(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right}clone(){return new Mn(this.top,this.bottom,this.left,this.right)}toJSON(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}}}const Sn=85.051129;class En{constructor(t,r,n,i,a){this.tileSize=512,this._renderWorldCopies=void 0===a||!!a,this._minZoom=t||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 e.N(0,0),this._elevation=0,this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new Mn,this._posMatrixCache={},this._alignedPosMatrixCache={},this._fogMatrixCache={},this.minElevationForCurrentTile=0}clone(){const t=new En(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.apply(this),t}apply(t){this.tileSize=t.tileSize,this.latRange=t.latRange,this.width=t.width,this.height=t.height,this._center=t._center,this._elevation=t._elevation,this.minElevationForCurrentTile=t.minElevationForCurrentTile,this.zoom=t.zoom,this.angle=t.angle,this._fov=t._fov,this._pitch=t._pitch,this._unmodified=t._unmodified,this._edgeInsets=t._edgeInsets.clone(),this._calcMatrices()}get minZoom(){return this._minZoom}set minZoom(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))}get maxZoom(){return this._maxZoom}set maxZoom(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))}get minPitch(){return this._minPitch}set minPitch(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))}get maxPitch(){return this._maxPitch}set maxPitch(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))}get renderWorldCopies(){return this._renderWorldCopies}set renderWorldCopies(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t}get worldSize(){return this.tileSize*this.scale}get centerOffset(){return this.centerPoint._sub(this.size._div(2))}get size(){return new e.P(this.width,this.height)}get bearing(){return-this.angle/Math.PI*180}set bearing(t){const r=-e.b3(t,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=function(){var t=new e.A(4);return e.A!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t}(),function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=Math.sin(r),l=Math.cos(r);t[0]=n*l+a*s,t[1]=i*l+o*s,t[2]=n*-s+a*l,t[3]=i*-s+o*l}(this.rotationMatrix,this.rotationMatrix,this.angle))}get pitch(){return this._pitch/Math.PI*180}set pitch(t){const r=e.ad(t,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())}get fov(){return this._fov/Math.PI*180}set fov(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())}get zoom(){return this._zoom}set zoom(t){const e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.tileZoom=Math.max(0,Math.floor(e)),this.scale=this.zoomScale(e),this._constrain(),this._calcMatrices())}get center(){return this._center}set center(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())}get elevation(){return this._elevation}set elevation(t){t!==this._elevation&&(this._elevation=t,this._constrain(),this._calcMatrices())}get padding(){return this._edgeInsets.toJSON()}set padding(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())}get centerPoint(){return this._edgeInsets.getCenter(this.width,this.height)}isPaddingEqual(t){return this._edgeInsets.equals(t)}interpolatePadding(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()}coveringZoomLevel(t){const e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)}getVisibleUnwrappedCoordinates(t){const r=[new e.b4(0,t)];if(this._renderWorldCopies){const n=this.pointCoordinate(new e.P(0,0)),i=this.pointCoordinate(new e.P(this.width,0)),a=this.pointCoordinate(new e.P(this.width,this.height)),o=this.pointCoordinate(new e.P(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),c=1;for(let n=s-c;n<=l+c;n++)0!==n&&r.push(new e.b4(n,t))}return r}coveringTiles(t){var r,n;let i=this.coveringZoomLevel(t);const a=i;if(void 0!==t.minzoom&&it.maxzoom&&(i=t.maxzoom);const o=this.pointCoordinate(this.getCameraPoint()),s=e.Z.fromLngLat(this.center),l=Math.pow(2,i),c=[l*o.x,l*o.y,0],u=[l*s.x,l*s.y,0],h=kn.fromInvProjectionMatrix(this.invModelViewProjectionMatrix,this.worldSize,i);let f=t.minzoom||0;!t.terrain&&this.pitch<=60&&this._edgeInsets.top<.1&&(f=i);const p=t.terrain?2/Math.min(this.tileSize,t.tileSize)*this.tileSize:3,d=t=>({aabb:new An([t*l,0,0],[(t+1)*l,l,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}),m=[],g=[],y=i,x=t.reparseOverscaled?a:i;if(this._renderWorldCopies)for(let t=1;t<=3;t++)m.push(d(-t)),m.push(d(t));for(m.push(d(0));m.length>0;){const i=m.pop(),a=i.x,o=i.y;let s=i.fullyVisible;if(!s){const t=i.aabb.intersects(h);if(0===t)continue;s=2===t}const l=t.terrain?c:u,d=i.aabb.distanceX(l),_=i.aabb.distanceY(l),b=Math.max(Math.abs(d),Math.abs(_)),w=p+(1<w&&i.zoom>=f){const t=y-i.zoom,r=c[0]-.5-(a<>1),h=i.zoom+1;let f=i.aabb.quadrant(l);if(t.terrain){const a=new e.S(h,i.wrap,h,c,u),o=t.terrain.getMinMaxElevation(a),s=null!==(r=o.minElevation)&&void 0!==r?r:this.elevation,l=null!==(n=o.maxElevation)&&void 0!==n?n:this.elevation;f=new An([f.min[0],f.min[1],s],[f.max[0],f.max[1],l])}m.push({aabb:f,zoom:h,x:c,y:u,wrap:i.wrap,fullyVisible:s})}}return g.sort(((t,e)=>t.distanceSq-e.distanceSq)).map((t=>t.tileID))}resize(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()}get unmodified(){return this._unmodified}zoomScale(t){return Math.pow(2,t)}scaleZoom(t){return Math.log(t)/Math.LN2}project(t){const r=e.ad(t.lat,-85.051129,Sn);return new e.P(e.O(t.lng)*this.worldSize,e.Q(r)*this.worldSize)}unproject(t){return new e.Z(t.x/this.worldSize,t.y/this.worldSize).toLngLat()}get point(){return this.project(this.center)}getCameraPosition(){return{lngLat:this.pointLocation(this.getCameraPoint()),altitude:Math.cos(this._pitch)*this.cameraToCenterDistance/this._pixelPerMeter+this.elevation}}recalculateZoom(t){const r=this.elevation,n=Math.cos(this._pitch)*this.cameraToCenterDistance/this._pixelPerMeter,i=this.pointLocation(this.centerPoint,t),a=t.getElevationForLngLatZoom(i,this.tileZoom);if(!(this.elevation-a))return;const o=n+r-a,s=Math.cos(this._pitch)*this.cameraToCenterDistance/o/e.b5(1,i.lat)/this.tileSize,l=this.scaleZoom(s);this._elevation=a,this._center=i,this.zoom=l}setLocationAtPoint(t,r){const n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(t),o=new e.Z(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())}locationPoint(t,e){return e?this.coordinatePoint(this.locationCoordinate(t),e.getElevationForLngLatZoom(t,this.tileZoom),this.pixelMatrix3D):this.coordinatePoint(this.locationCoordinate(t))}pointLocation(t,e){return this.coordinateLocation(this.pointCoordinate(t,e))}locationCoordinate(t){return e.Z.fromLngLat(t)}coordinateLocation(t){return t&&t.toLngLat()}pointCoordinate(t,r){if(r){const e=r.pointCoordinate(t);if(null!=e)return e}const n=[t.x,t.y,0,1],i=[t.x,t.y,1,1];e.ag(n,n,this.pixelMatrixInverse),e.ag(i,i,this.pixelMatrixInverse);const a=n[3],o=i[3],s=n[0]/a,l=i[0]/o,c=n[1]/a,u=i[1]/o,h=n[2]/a,f=i[2]/o,p=h===f?0:(0-h)/(f-h);return new e.Z(e.z.number(s,l,p)/this.worldSize,e.z.number(c,u,p)/this.worldSize)}coordinatePoint(t,r=0,n=this.pixelMatrix){const i=[t.x*this.worldSize,t.y*this.worldSize,r,1];return e.ag(i,i,n),new e.P(i[0]/i[3],i[1]/i[3])}getBounds(){const t=Math.max(0,this.height/2-this.getHorizon());return(new X).extend(this.pointLocation(new e.P(0,t))).extend(this.pointLocation(new e.P(this.width,t))).extend(this.pointLocation(new e.P(this.width,this.height))).extend(this.pointLocation(new e.P(0,this.height)))}getMaxBounds(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new X([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null}getHorizon(){return Math.tan(Math.PI/2-this._pitch)*this.cameraToCenterDistance*.85}setMaxBounds(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-85.051129,Sn])}calculateTileMatrix(t){const r=t.canonical,n=this.worldSize/this.zoomScale(r.z),i=r.x+Math.pow(2,r.z)*t.wrap,a=e.ao(new Float64Array(16));return e.J(a,a,[i*n,r.y*n,0]),e.K(a,a,[n/e.X,n/e.X,1]),a}calculatePosMatrix(t,r=!1){const n=t.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];const a=this.calculateTileMatrix(t);return e.L(a,r?this.alignedModelViewProjectionMatrix:this.modelViewProjectionMatrix,a),i[n]=new Float32Array(a),i[n]}calculateFogMatrix(t){const r=t.key,n=this._fogMatrixCache;if(n[r])return n[r];const i=this.calculateTileMatrix(t);return e.L(i,this.fogMatrix,i),n[r]=new Float32Array(i),n[r]}customLayerMatrix(){return this.mercatorMatrix.slice()}getConstrained(t,r){r=e.ad(+r,this.minZoom,this.maxZoom);const n={center:new e.N(t.lng,t.lat),zoom:r};let i=this.lngRange;if(!this._renderWorldCopies&&null===i){const t=180-1e-10;i=[-t,t]}const a=this.tileSize*this.zoomScale(n.zoom);let o=0,s=a,l=0,c=a,u=0,h=0;const{x:f,y:p}=this.size;if(this.latRange){const t=this.latRange;o=e.Q(t[1])*a,s=e.Q(t[0])*a,s-os&&(y=s-t)}if(i){const t=(l+c)/2;let r=d;this._renderWorldCopies&&(r=e.b3(d,t-a/2,t+a/2));const n=f/2;r-nc&&(g=c-n)}if(void 0!==g||void 0!==y){const t=new e.P(null!=g?g:d,null!=y?y:m);n.center=this.unproject.call({worldSize:a},t).wrap()}return n}_constrain(){if(!this.center||!this.width||!this.height||this._constraining)return;this._constraining=!0;const t=this._unmodified,{center:e,zoom:r}=this.getConstrained(this.center,this.zoom);this.center=e,this.zoom=r,this._unmodified=t,this._constraining=!1}_calcMatrices(){if(!this.height)return;const t=this._fov/2,r=this.centerOffset,n=this.point.x,i=this.point.y;this.cameraToCenterDistance=.5/Math.tan(t)*this.height,this._pixelPerMeter=e.b5(1,this.center.lat)*this.worldSize;let a=e.ao(new Float64Array(16));e.K(a,a,[this.width/2,-this.height/2,1]),e.J(a,a,[1,-1,0]),this.labelPlaneMatrix=a,a=e.ao(new Float64Array(16)),e.K(a,a,[1,-1,1]),e.J(a,a,[-1,-1,0]),e.K(a,a,[2/this.width,2/this.height,1]),this.glCoordMatrix=a;const o=this.cameraToCenterDistance+this._elevation*this._pixelPerMeter/Math.cos(this._pitch),s=Math.min(this.elevation,this.minElevationForCurrentTile),l=o-s*this._pixelPerMeter/Math.cos(this._pitch),c=s<0?l:o,u=Math.PI/2+this._pitch,h=this._fov*(.5+r.y/this.height),f=Math.sin(h)*c/Math.sin(e.ad(Math.PI-u-h,.01,Math.PI-.01)),p=this.getHorizon(),d=2*Math.atan(p/this.cameraToCenterDistance)*(.5+r.y/(2*p)),m=Math.sin(d)*c/Math.sin(e.ad(Math.PI-u-d,.01,Math.PI-.01)),g=Math.min(f,m);this.farZ=1.01*(Math.cos(Math.PI/2-this._pitch)*g+c),this.nearZ=this.height/50,a=new Float64Array(16),e.b6(a,this._fov,this.width/this.height,this.nearZ,this.farZ),a[8]=2*-r.x/this.width,a[9]=2*r.y/this.height,this.projectionMatrix=e.af(a),e.K(a,a,[1,-1,1]),e.J(a,a,[0,0,-this.cameraToCenterDistance]),e.b7(a,a,this._pitch),e.ae(a,a,this.angle),e.J(a,a,[-n,-i,0]),this.mercatorMatrix=e.K([],a,[this.worldSize,this.worldSize,this.worldSize]),e.K(a,a,[1,1,this._pixelPerMeter]),this.pixelMatrix=e.L(new Float64Array(16),this.labelPlaneMatrix,a),e.J(a,a,[0,0,-this.elevation]),this.modelViewProjectionMatrix=a,this.invModelViewProjectionMatrix=e.at([],a),this.fogMatrix=new Float64Array(16),e.b6(this.fogMatrix,this._fov,this.width/this.height,o,this.farZ),this.fogMatrix[8]=2*-r.x/this.width,this.fogMatrix[9]=2*r.y/this.height,e.K(this.fogMatrix,this.fogMatrix,[1,-1,1]),e.J(this.fogMatrix,this.fogMatrix,[0,0,-this.cameraToCenterDistance]),e.b7(this.fogMatrix,this.fogMatrix,this._pitch),e.ae(this.fogMatrix,this.fogMatrix,this.angle),e.J(this.fogMatrix,this.fogMatrix,[-n,-i,0]),e.K(this.fogMatrix,this.fogMatrix,[1,1,this._pixelPerMeter]),e.J(this.fogMatrix,this.fogMatrix,[0,0,-this.elevation]),this.pixelMatrix3D=e.L(new Float64Array(16),this.labelPlaneMatrix,a);const y=this.width%2/2,v=this.height%2/2,x=Math.cos(this.angle),_=Math.sin(this.angle),b=n-Math.round(n)+x*y+_*v,w=i-Math.round(i)+x*v+_*y,T=new Float64Array(a);if(e.J(T,T,[b>.5?b-1:b,w>.5?w-1:w,0]),this.alignedModelViewProjectionMatrix=T,a=e.at(new Float64Array(16),this.pixelMatrix),!a)throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=a,this._posMatrixCache={},this._alignedPosMatrixCache={},this._fogMatrixCache={}}maxPitchScaleFactor(){if(!this.pixelMatrixInverse)return 1;const t=this.pointCoordinate(new e.P(0,0)),r=[t.x*this.worldSize,t.y*this.worldSize,0,1];return e.ag(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance}getCameraPoint(){const t=this._pitch,r=Math.tan(t)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new e.P(0,r))}getCameraQueryGeometry(t){const r=this.getCameraPoint();if(1===t.length)return[t[0],r];{let n=r.x,i=r.y,a=r.x,o=r.y;for(const e of t)n=Math.min(n,e.x),i=Math.min(i,e.y),a=Math.max(a,e.x),o=Math.max(o,e.y);return[new e.P(n,i),new e.P(a,i),new e.P(a,o),new e.P(n,o),new e.P(n,i)]}}lngLatToCameraDepth(t,r){const n=this.locationCoordinate(t),i=[n.x*this.worldSize,n.y*this.worldSize,r,1];return e.ag(i,i,this.modelViewProjectionMatrix),i[2]/i[3]}}function Cn(t,e){let r,n=!1,i=null,a=null;const o=()=>{i=null,n&&(t.apply(a,r),i=setTimeout(o,e),n=!1)};return(...t)=>(n=!0,a=this,r=t,i||o(),i)}class Ln{constructor(t){this._getCurrentHash=()=>{const t=window.location.hash.replace(\"#\",\"\");if(this._hashName){let e;return t.split(\"&\").map((t=>t.split(\"=\"))).forEach((t=>{t[0]===this._hashName&&(e=t)})),(e&&e[1]||\"\").split(\"/\")}return t.split(\"/\")},this._onHashChange=()=>{const t=this._getCurrentHash();if(t.length>=3&&!t.some((t=>isNaN(t)))){const 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},this._updateHashUnthrottled=()=>{const t=window.location.href.replace(/(#.+)?$/,this.getHashString());window.history.replaceState(window.history.state,null,t)},this._removeHash=()=>{const t=this._getCurrentHash();if(0===t.length)return;const e=t.join(\"/\");let r=e;r.split(\"&\").length>0&&(r=r.split(\"&\")[0]),this._hashName&&(r=`${this._hashName}=${e}`);let n=window.location.hash.replace(r,\"\");n.startsWith(\"#&\")?n=n.slice(0,1)+n.slice(2):\"#\"===n&&(n=\"\");let i=window.location.href.replace(/(#.+)?$/,n);i=i.replace(\"&&\",\"&\"),window.history.replaceState(window.history.state,null,i)},this._updateHash=Cn(this._updateHashUnthrottled,300),this._hashName=t&&encodeURIComponent(t)}addTo(t){return this._map=t,addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this}remove(){return removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),this._removeHash(),delete this._map,this}getHashString(t){const e=this._map.getCenter(),r=Math.round(100*this._map.getZoom())/100,n=Math.ceil((r*Math.LN2+Math.log(512/360/.5))/Math.LN10),i=Math.pow(10,n),a=Math.round(e.lng*i)/i,o=Math.round(e.lat*i)/i,s=this._map.getBearing(),l=this._map.getPitch();let c=\"\";if(c+=t?`/${a}/${o}/${r}`:`${r}/${o}/${a}`,(s||l)&&(c+=\"/\"+Math.round(10*s)/10),l&&(c+=`/${Math.round(l)}`),this._hashName){const t=this._hashName;let e=!1;const r=window.location.hash.slice(1).split(\"&\").map((r=>{const n=r.split(\"=\")[0];return n===t?(e=!0,`${n}=${c}`):r})).filter((t=>t));return e||r.push(`${t}=${c}`),`#${r.join(\"&\")}`}return`#${c}`}}const In={linearity:.3,easing:e.b8(0,0,.3,1)},Pn=e.e({deceleration:2500,maxSpeed:1400},In),zn=e.e({deceleration:20,maxSpeed:1400},In),On=e.e({deceleration:1e3,maxSpeed:360},In),Dn=e.e({deceleration:1e3,maxSpeed:90},In);class Rn{constructor(t){this._map=t,this.clear()}clear(){this._inertiaBuffer=[]}record(t){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:a.now(),settings:t})}_drainInertiaBuffer(){const t=this._inertiaBuffer,e=a.now();for(;t.length>0&&e-t[0].time>160;)t.shift()}_onMoveEnd(t){if(this._drainInertiaBuffer(),this._inertiaBuffer.length<2)return;const r={zoom:0,bearing:0,pitch:0,pan:new e.P(0,0),pinchAround:void 0,around:void 0};for(const{settings:t}of this._inertiaBuffer)r.zoom+=t.zoomDelta||0,r.bearing+=t.bearingDelta||0,r.pitch+=t.pitchDelta||0,t.panDelta&&r.pan._add(t.panDelta),t.around&&(r.around=t.around),t.pinchAround&&(r.pinchAround=t.pinchAround);const n=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,i={};if(r.pan.mag()){const a=Bn(r.pan.mag(),n,e.e({},Pn,t||{}));i.offset=r.pan.mult(a.amount/r.pan.mag()),i.center=this._map.transform.center,Fn(i,a)}if(r.zoom){const t=Bn(r.zoom,n,zn);i.zoom=this._map.transform.zoom+t.amount,Fn(i,t)}if(r.bearing){const t=Bn(r.bearing,n,On);i.bearing=this._map.transform.bearing+e.ad(t.amount,-179,179),Fn(i,t)}if(r.pitch){const t=Bn(r.pitch,n,Dn);i.pitch=this._map.transform.pitch+t.amount,Fn(i,t)}if(i.zoom||i.bearing){const t=void 0===r.pinchAround?r.around:r.pinchAround;i.around=t?this._map.unproject(t):this._map.getCenter()}return this.clear(),e.e(i,{noMoveStart:!0})}}function Fn(t,e){(!t.duration||t.durationr.unproject(t))),l=a.reduce(((t,e,r,n)=>t.add(e.div(n.length))),new e.P(0,0));super(t,{points:a,point:l,lngLats:s,lngLat:r.unproject(l),originalEvent:n}),this._defaultPrevented=!1}}class Un extends e.k{preventDefault(){this._defaultPrevented=!0}get defaultPrevented(){return this._defaultPrevented}constructor(t,e,r){super(t,{originalEvent:r}),this._defaultPrevented=!1}}class Vn{constructor(t,e){this._map=t,this._clickTolerance=e.clickTolerance}reset(){delete this._mousedownPos}wheel(t){return this._firePreventable(new Un(t.type,this._map,t))}mousedown(t,e){return this._mousedownPos=e,this._firePreventable(new Nn(t.type,this._map,t))}mouseup(t){this._map.fire(new Nn(t.type,this._map,t))}click(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Nn(t.type,this._map,t))}dblclick(t){return this._firePreventable(new Nn(t.type,this._map,t))}mouseover(t){this._map.fire(new Nn(t.type,this._map,t))}mouseout(t){this._map.fire(new Nn(t.type,this._map,t))}touchstart(t){return this._firePreventable(new jn(t.type,this._map,t))}touchmove(t){this._map.fire(new jn(t.type,this._map,t))}touchend(t){this._map.fire(new jn(t.type,this._map,t))}touchcancel(t){this._map.fire(new jn(t.type,this._map,t))}_firePreventable(t){if(this._map.fire(t),t.defaultPrevented)return{}}isEnabled(){return!0}isActive(){return!1}enable(){}disable(){}}class qn{constructor(t){this._map=t}reset(){this._delayContextMenu=!1,this._ignoreContextMenu=!0,delete this._contextMenuEvent}mousemove(t){this._map.fire(new Nn(t.type,this._map,t))}mousedown(){this._delayContextMenu=!0,this._ignoreContextMenu=!1}mouseup(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Nn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)}contextmenu(t){this._delayContextMenu?this._contextMenuEvent=t:this._ignoreContextMenu||this._map.fire(new Nn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()}isEnabled(){return!0}isActive(){return!1}enable(){}disable(){}}class Hn{constructor(t){this._map=t}get transform(){return this._map._requestedCameraState||this._map.transform}get center(){return{lng:this.transform.center.lng,lat:this.transform.center.lat}}get zoom(){return this.transform.zoom}get pitch(){return this.transform.pitch}get bearing(){return this.transform.bearing}unproject(t){return this.transform.pointLocation(e.P.convert(t),this._map.terrain)}}class Gn{constructor(t,e){this._map=t,this._tr=new Hn(t),this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1}isEnabled(){return!!this._enabled}isActive(){return!!this._active}enable(){this.isEnabled()||(this._enabled=!0)}disable(){this.isEnabled()&&(this._enabled=!1)}mousedown(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(o.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)}mousemoveWindow(t,e){if(!this._active)return;const r=e;if(this._lastPos.equals(r)||!this._box&&r.dist(this._startPos)t.fitScreenCoordinates(n,i,this._tr.bearing,{linear:!0})};this._fireEvent(\"boxzoomcancel\",t)}keydown(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))}reset(){this._active=!1,this._container.classList.remove(\"maplibregl-crosshair\"),this._box&&(o.remove(this._box),this._box=null),o.enableDrag(),delete this._startPos,delete this._lastPos}_fireEvent(t,r){return this._map.fire(new e.k(t,{originalEvent:r}))}}function Zn(t,e){if(t.length!==e.length)throw new Error(`The number of touches and points are not equal - touches ${t.length}, points ${e.length}`);const r={};for(let n=0;nthis.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=t.timeStamp),n.length===this.numTouches&&(this.centroid=function(t){const r=new e.P(0,0);for(const e of t)r._add(e);return r.div(t.length)}(r),this.touches=Zn(n,r)))}touchmove(t,e,r){if(this.aborted||!this.centroid)return;const n=Zn(r,e);for(const t in this.touches){const e=this.touches[t],r=n[t];(!r||r.dist(e)>30)&&(this.aborted=!0)}}touchend(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){const t=!this.aborted&&this.centroid;if(this.reset(),t)return t}}}class Yn{constructor(t){this.singleTap=new Wn(t),this.numTaps=t.numTaps,this.reset()}reset(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()}touchstart(t,e,r){this.singleTap.touchstart(t,e,r)}touchmove(t,e,r){this.singleTap.touchmove(t,e,r)}touchend(t,e,r){const n=this.singleTap.touchend(t,e,r);if(n){const e=t.timeStamp-this.lastTime<500,r=!this.lastTap||this.lastTap.dist(n)<30;if(e&&r||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}}}class Xn{constructor(t){this._tr=new Hn(t),this._zoomIn=new Yn({numTouches:1,numTaps:2}),this._zoomOut=new Yn({numTouches:2,numTaps:1}),this.reset()}reset(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()}touchstart(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)}touchmove(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)}touchend(t,e,r){const n=this._zoomIn.touchend(t,e,r),i=this._zoomOut.touchend(t,e,r),a=this._tr;return n?(this._active=!0,t.preventDefault(),setTimeout((()=>this.reset()),0),{cameraAnimation:e=>e.easeTo({duration:300,zoom:a.zoom+1,around:a.unproject(n)},{originalEvent:t})}):i?(this._active=!0,t.preventDefault(),setTimeout((()=>this.reset()),0),{cameraAnimation:e=>e.easeTo({duration:300,zoom:a.zoom-1,around:a.unproject(i)},{originalEvent:t})}):void 0}touchcancel(){this.reset()}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class $n{constructor(t){this._enabled=!!t.enable,this._moveStateManager=t.moveStateManager,this._clickTolerance=t.clickTolerance||1,this._moveFunction=t.move,this._activateOnStart=!!t.activateOnStart,t.assignEvents(this),this.reset()}reset(t){this._active=!1,this._moved=!1,delete this._lastPoint,this._moveStateManager.endMove(t)}_move(...t){const e=this._moveFunction(...t);if(e.bearingDelta||e.pitchDelta||e.around||e.panDelta)return this._active=!0,e}dragStart(t,e){this.isEnabled()&&!this._lastPoint&&this._moveStateManager.isValidStartEvent(t)&&(this._moveStateManager.startMove(t),this._lastPoint=e.length?e[0]:e,this._activateOnStart&&this._lastPoint&&(this._active=!0))}dragMove(t,e){if(!this.isEnabled())return;const r=this._lastPoint;if(!r)return;if(t.preventDefault(),!this._moveStateManager.isValidMoveEvent(t))return void this.reset(t);const n=e.length?e[0]:e;return!this._moved&&n.dist(r){t.mousedown=t.dragStart,t.mousemoveWindow=t.dragMove,t.mouseup=t.dragEnd,t.contextmenu=t=>{t.preventDefault()}},ei=({enable:t,clickTolerance:e,bearingDegreesPerPixelMoved:r=.8})=>{const n=new Kn({checkCorrectEvent:t=>0===o.mouseButton(t)&&t.ctrlKey||2===o.mouseButton(t)});return new $n({clickTolerance:e,move:(t,e)=>({bearingDelta:(e.x-t.x)*r}),moveStateManager:n,enable:t,assignEvents:ti})},ri=({enable:t,clickTolerance:e,pitchDegreesPerPixelMoved:r=-.5})=>{const n=new Kn({checkCorrectEvent:t=>0===o.mouseButton(t)&&t.ctrlKey||2===o.mouseButton(t)});return new $n({clickTolerance:e,move:(t,e)=>({pitchDelta:(e.y-t.y)*r}),moveStateManager:n,enable:t,assignEvents:ti})};class ni{constructor(t,e){this._clickTolerance=t.clickTolerance||1,this._map=e,this.reset()}reset(){this._active=!1,this._touches={},this._sum=new e.P(0,0)}_shouldBePrevented(t){return t<(this._map.cooperativeGestures.isEnabled()?2:1)}touchstart(t,e,r){return this._calculateTransform(t,e,r)}touchmove(t,e,r){if(this._active){if(!this._shouldBePrevented(r.length))return t.preventDefault(),this._calculateTransform(t,e,r);this._map.cooperativeGestures.notifyGestureBlocked(\"touch_pan\",t)}}touchend(t,e,r){this._calculateTransform(t,e,r),this._active&&this._shouldBePrevented(r.length)&&this.reset()}touchcancel(){this.reset()}_calculateTransform(t,r,n){n.length>0&&(this._active=!0);const i=Zn(n,r),a=new e.P(0,0),o=new e.P(0,0);let s=0;for(const t in i){const e=i[t],r=this._touches[t];r&&(a._add(e),o._add(e.sub(r)),s++,i[t]=e)}if(this._touches=i,this._shouldBePrevented(s)||!o.mag())return;const l=o.div(s);return this._sum._add(l),this._sum.mag()Math.abs(t.x)}class hi extends ii{constructor(t){super(),this._currentTouchCount=0,this._map=t}reset(){super.reset(),this._valid=void 0,delete this._firstMove,delete this._lastPoints}touchstart(t,e,r){super.touchstart(t,e,r),this._currentTouchCount=r.length}_start(t){this._lastPoints=t,ui(t[0].sub(t[1]))&&(this._valid=!1)}_move(t,e,r){if(this._map.cooperativeGestures.isEnabled()&&this._currentTouchCount<3)return;const n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);return this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid?(this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+i.y)/2*-.5}):void 0}gestureBeginsVertically(t,e,r){if(void 0!==this._valid)return this._valid;const n=t.mag()>=2,i=e.mag()>=2;if(!n&&!i)return;if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;const a=t.y>0==e.y>0;return ui(t)&&ui(e)&&a}}const fi={panStep:100,bearingStep:15,pitchStep:10};class pi{constructor(t){this._tr=new Hn(t);const e=fi;this._panStep=e.panStep,this._bearingStep=e.bearingStep,this._pitchStep=e.pitchStep,this._rotationDisabled=!1}reset(){this._active=!1}keydown(t){if(t.altKey||t.ctrlKey||t.metaKey)return;let e=0,r=0,n=0,i=0,a=0;switch(t.keyCode){case 61:case 107:case 171:case 187:e=1;break;case 189:case 109:case 173:e=-1;break;case 37:t.shiftKey?r=-1:(t.preventDefault(),i=-1);break;case 39:t.shiftKey?r=1:(t.preventDefault(),i=1);break;case 38:t.shiftKey?n=1:(t.preventDefault(),a=-1);break;case 40:t.shiftKey?n=-1:(t.preventDefault(),a=1);break;default:return}return this._rotationDisabled&&(r=0,n=0),{cameraAnimation:o=>{const s=this._tr;o.easeTo({duration:300,easeId:\"keyboardHandler\",easing:di,zoom:e?Math.round(s.zoom)+e*(t.shiftKey?2:1):s.zoom,bearing:s.bearing+r*this._bearingStep,pitch:s.pitch+n*this._pitchStep,offset:[-i*this._panStep,-a*this._panStep],center:s.center},{originalEvent:t})}}}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}disableRotation(){this._rotationDisabled=!0}enableRotation(){this._rotationDisabled=!1}}function di(t){return t*(2-t)}const mi=4.000244140625;class gi{constructor(t,e){this._onTimeout=t=>{this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},this._map=t,this._tr=new Hn(t),this._triggerRenderFrame=e,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222}setZoomRate(t){this._defaultZoomRate=t}setWheelZoomRate(t){this._wheelZoomRate=t}isEnabled(){return!!this._enabled}isActive(){return!!this._active||void 0!==this._finishTimeout}isZooming(){return!!this._zooming}enable(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around)}disable(){this.isEnabled()&&(this._enabled=!1)}_shouldBePrevented(t){return!!this._map.cooperativeGestures.isEnabled()&&!(t.ctrlKey||this._map.cooperativeGestures.isBypassed(t))}wheel(t){if(!this.isEnabled())return;if(this._shouldBePrevented(t))return void this._map.cooperativeGestures.notifyGestureBlocked(\"wheel_zoom\",t);let e=t.deltaMode===WheelEvent.DOM_DELTA_LINE?40*t.deltaY:t.deltaY;const r=a.now(),n=r-(this._lastWheelEventTime||0);this._lastWheelEventTime=r,0!==e&&e%mi==0?this._type=\"wheel\":0!==e&&Math.abs(e)<4?this._type=\"trackpad\":n>400?(this._type=null,this._lastValue=e,this._timeout=setTimeout(this._onTimeout,40,t)):this._type||(this._type=Math.abs(n*e)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,e+=this._lastValue)),t.shiftKey&&e&&(e/=4),this._type&&(this._lastWheelEvent=t,this._delta-=e,this._active||this._start(t)),t.preventDefault()}_start(t){if(!this._delta)return;this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);const r=o.mousePos(this._map.getCanvas(),t),n=this._tr;r.y>n.transform.height/2-n.transform.getHorizon()?this._around=e.N.convert(this._aroundCenter?n.center:n.unproject(r)):this._around=e.N.convert(n.center),this._aroundPoint=n.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._triggerRenderFrame())}renderFrame(){if(!this._frameId)return;if(this._frameId=null,!this.isActive())return;const t=this._tr.transform;if(0!==this._delta){const e=\"wheel\"===this._type&&Math.abs(this._delta)>mi?this._wheelZoomRate:this._defaultZoomRate;let r=2/(1+Math.exp(-Math.abs(this._delta*e)));this._delta<0&&0!==r&&(r=1/r);const n=\"number\"==typeof this._targetZoom?t.zoomScale(this._targetZoom):t.scale;this._targetZoom=Math.min(t.maxZoom,Math.max(t.minZoom,t.scaleZoom(n*r))),\"wheel\"===this._type&&(this._startZoom=t.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}const r=\"number\"==typeof this._targetZoom?this._targetZoom:t.zoom,n=this._startZoom,i=this._easing;let o,s=!1;const l=a.now()-this._lastWheelEventTime;if(\"wheel\"===this._type&&n&&i&&l){const t=Math.min(l/200,1),a=i(t);o=e.z.number(n,r,a),t<1?this._frameId||(this._frameId=!0):s=!0}else o=r,s=!0;return this._active=!0,s&&(this._active=!1,this._finishTimeout=setTimeout((()=>{this._zooming=!1,this._triggerRenderFrame(),delete this._targetZoom,delete this._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!s,zoomDelta:o-t.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}_smoothOutEasing(t){let r=e.b9;if(this._prevEase){const t=this._prevEase,n=(a.now()-t.start)/t.duration,i=t.easing(n+.01)-t.easing(n),o=.27/Math.sqrt(i*i+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=e.b8(o,s,.25,1)}return this._prevEase={start:a.now(),duration:t,easing:r},r}reset(){this._active=!1,this._zooming=!1,delete this._targetZoom,this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout)}}class yi{constructor(t,e){this._clickZoom=t,this._tapZoom=e}enable(){this._clickZoom.enable(),this._tapZoom.enable()}disable(){this._clickZoom.disable(),this._tapZoom.disable()}isEnabled(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()}isActive(){return this._clickZoom.isActive()||this._tapZoom.isActive()}}class vi{constructor(t){this._tr=new Hn(t),this.reset()}reset(){this._active=!1}dblclick(t,e){return t.preventDefault(),{cameraAnimation:r=>{r.easeTo({duration:300,zoom:this._tr.zoom+(t.shiftKey?-1:1),around:this._tr.unproject(e)},{originalEvent:t})}}}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class xi{constructor(){this._tap=new Yn({numTouches:1,numTaps:1}),this.reset()}reset(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,delete this._tapPoint,this._tap.reset()}touchstart(t,e,r){if(!this._swipePoint)if(this._tapTime){const n=e[0],i=t.timeStamp-this._tapTime<500,a=this._tapPoint.dist(n)<30;i&&a?r.length>0&&(this._swipePoint=n,this._swipeTouch=r[0].identifier):this.reset()}else this._tap.touchstart(t,e,r)}touchmove(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;const 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)}touchend(t,e,r){if(this._tapTime)this._swipePoint&&0===r.length&&this.reset();else{const n=this._tap.touchend(t,e,r);n&&(this._tapTime=t.timeStamp,this._tapPoint=n)}}touchcancel(){this.reset()}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class _i{constructor(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r}enable(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"maplibregl-touch-drag-pan\")}disable(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"maplibregl-touch-drag-pan\")}isEnabled(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()}isActive(){return this._mousePan.isActive()||this._touchPan.isActive()}}class bi{constructor(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r}enable(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()}disable(){this._mouseRotate.disable(),this._mousePitch.disable()}isEnabled(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())}isActive(){return this._mouseRotate.isActive()||this._mousePitch.isActive()}}class wi{constructor(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0}enable(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"maplibregl-touch-zoom-rotate\")}disable(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"maplibregl-touch-zoom-rotate\")}isEnabled(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()}isActive(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()}disableRotation(){this._rotationDisabled=!0,this._touchRotate.disable()}enableRotation(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()}}class Ti{constructor(t,e){this._bypassKey=-1!==navigator.userAgent.indexOf(\"Mac\")?\"metaKey\":\"ctrlKey\",this._map=t,this._options=e,this._enabled=!1}isActive(){return!1}reset(){}_setupUI(){if(this._container)return;const t=this._map.getCanvasContainer();t.classList.add(\"maplibregl-cooperative-gestures\"),this._container=o.create(\"div\",\"maplibregl-cooperative-gesture-screen\",t);let e=this._map._getUIString(\"CooperativeGesturesHandler.WindowsHelpText\");\"metaKey\"===this._bypassKey&&(e=this._map._getUIString(\"CooperativeGesturesHandler.MacHelpText\"));const r=this._map._getUIString(\"CooperativeGesturesHandler.MobileHelpText\"),n=document.createElement(\"div\");n.className=\"maplibregl-desktop-message\",n.textContent=e,this._container.appendChild(n);const i=document.createElement(\"div\");i.className=\"maplibregl-mobile-message\",i.textContent=r,this._container.appendChild(i),this._container.setAttribute(\"aria-hidden\",\"true\")}_destroyUI(){this._container&&(o.remove(this._container),this._map.getCanvasContainer().classList.remove(\"maplibregl-cooperative-gestures\")),delete this._container}enable(){this._setupUI(),this._enabled=!0}disable(){this._enabled=!1,this._destroyUI()}isEnabled(){return this._enabled}isBypassed(t){return t[this._bypassKey]}notifyGestureBlocked(t,r){this._enabled&&(this._map.fire(new e.k(\"cooperativegestureprevented\",{gestureType:t,originalEvent:r})),this._container.classList.add(\"maplibregl-show\"),setTimeout((()=>{this._container.classList.remove(\"maplibregl-show\")}),100))}}const ki=t=>t.zoom||t.drag||t.pitch||t.rotate;class Ai extends e.k{}function Mi(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}class Si{constructor(t,e){this.handleWindowEvent=t=>{this.handleEvent(t,`${t.type}Window`)},this.handleEvent=(t,e)=>{if(\"blur\"===t.type)return void this.stop(!0);this._updatingCamera=!0;const r=\"renderFrame\"===t.type?void 0:t,n={needsRenderFrame:!1},i={},a={},s=t.touches,l=s?this._getMapTouches(s):void 0,c=l?o.touchPos(this._map.getCanvas(),l):o.mousePos(this._map.getCanvas(),t);for(const{handlerName:o,handler:s,allowed:u}of this._handlers){if(!s.isEnabled())continue;let h;this._blockedByActive(a,u,o)?s.reset():s[e||t.type]&&(h=s[e||t.type](t,c,l),this.mergeHandlerResult(n,i,h,o,r),h&&h.needsRenderFrame&&this._triggerRenderFrame()),(h||s.isActive())&&(a[o]=s)}const u={};for(const t in this._previousActiveHandlers)a[t]||(u[t]=r);this._previousActiveHandlers=a,(Object.keys(u).length||Mi(n))&&(this._changes.push([n,i,u]),this._triggerRenderFrame()),(Object.keys(a).length||Mi(n))&&this._map._stop(!0),this._updatingCamera=!1;const{cameraAnimation:h}=n;h&&(this._inertia.clear(),this._fireEvents({},{},!0),this._changes=[],h(this._map))},this._map=t,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Rn(t),this._bearingSnap=e.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(e);const r=this._el;this._listeners=[[r,\"touchstart\",{passive:!0}],[r,\"touchmove\",{passive:!1}],[r,\"touchend\",void 0],[r,\"touchcancel\",void 0],[r,\"mousedown\",void 0],[r,\"mousemove\",void 0],[r,\"mouseup\",void 0],[document,\"mousemove\",{capture:!0}],[document,\"mouseup\",void 0],[r,\"mouseover\",void 0],[r,\"mouseout\",void 0],[r,\"dblclick\",void 0],[r,\"click\",void 0],[r,\"keydown\",{capture:!1}],[r,\"keyup\",void 0],[r,\"wheel\",{passive:!1}],[r,\"contextmenu\",void 0],[window,\"blur\",void 0]];for(const[t,e,r]of this._listeners)o.addEventListener(t,e,t===document?this.handleWindowEvent:this.handleEvent,r)}destroy(){for(const[t,e,r]of this._listeners)o.removeEventListener(t,e,t===document?this.handleWindowEvent:this.handleEvent,r)}_addDefaultHandlers(t){const e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Vn(e,t));const n=e.boxZoom=new Gn(e,t);this._add(\"boxZoom\",n),t.interactive&&t.boxZoom&&n.enable();const i=e.cooperativeGestures=new Ti(e,t.cooperativeGestures);this._add(\"cooperativeGestures\",i),t.cooperativeGestures&&i.enable();const a=new Xn(e),s=new vi(e);e.doubleClickZoom=new yi(s,a),this._add(\"tapZoom\",a),this._add(\"clickZoom\",s),t.interactive&&t.doubleClickZoom&&e.doubleClickZoom.enable();const l=new xi;this._add(\"tapDragZoom\",l);const c=e.touchPitch=new hi(e);this._add(\"touchPitch\",c),t.interactive&&t.touchPitch&&e.touchPitch.enable(t.touchPitch);const u=ei(t),h=ri(t);e.dragRotate=new bi(t,u,h),this._add(\"mouseRotate\",u,[\"mousePitch\"]),this._add(\"mousePitch\",h,[\"mouseRotate\"]),t.interactive&&t.dragRotate&&e.dragRotate.enable();const f=(({enable:t,clickTolerance:e})=>{const r=new Kn({checkCorrectEvent:t=>0===o.mouseButton(t)&&!t.ctrlKey});return new $n({clickTolerance:e,move:(t,e)=>({around:e,panDelta:e.sub(t)}),activateOnStart:!0,moveStateManager:r,enable:t,assignEvents:ti})})(t),p=new ni(t,e);e.dragPan=new _i(r,f,p),this._add(\"mousePan\",f),this._add(\"touchPan\",p,[\"touchZoom\",\"touchRotate\"]),t.interactive&&t.dragPan&&e.dragPan.enable(t.dragPan);const d=new ci,m=new si;e.touchZoomRotate=new wi(r,m,d,l),this._add(\"touchRotate\",d,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",m,[\"touchPan\",\"touchRotate\"]),t.interactive&&t.touchZoomRotate&&e.touchZoomRotate.enable(t.touchZoomRotate);const g=e.scrollZoom=new gi(e,(()=>this._triggerRenderFrame()));this._add(\"scrollZoom\",g,[\"mousePan\"]),t.interactive&&t.scrollZoom&&e.scrollZoom.enable(t.scrollZoom);const y=e.keyboard=new pi(e);this._add(\"keyboard\",y),t.interactive&&t.keyboard&&e.keyboard.enable(),this._add(\"blockableMapEvent\",new qn(e))}_add(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e}stop(t){if(!this._updatingCamera){for(const{handler:t}of this._handlers)t.reset();this._inertia.clear(),this._fireEvents({},{},t),this._changes=[]}}isActive(){for(const{handler:t}of this._handlers)if(t.isActive())return!0;return!1}isZooming(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()}isRotating(){return!!this._eventsInProgress.rotate}isMoving(){return Boolean(ki(this._eventsInProgress))||this.isZooming()}_blockedByActive(t,e,r){for(const n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1}_getMapTouches(t){const e=[];for(const r of t){const t=r.target;this._el.contains(t)&&e.push(r)}return e}mergeHandlerResult(t,r,n,i,a){if(!n)return;e.e(t,n);const 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)}_applyChanges(){const t={},r={},n={};for(const[i,a,o]of this._changes)i.panDelta&&(t.panDelta=(t.panDelta||new e.P(0,0))._add(i.panDelta)),i.zoomDelta&&(t.zoomDelta=(t.zoomDelta||0)+i.zoomDelta),i.bearingDelta&&(t.bearingDelta=(t.bearingDelta||0)+i.bearingDelta),i.pitchDelta&&(t.pitchDelta=(t.pitchDelta||0)+i.pitchDelta),void 0!==i.around&&(t.around=i.around),void 0!==i.pinchAround&&(t.pinchAround=i.pinchAround),i.noInertia&&(t.noInertia=i.noInertia),e.e(r,a),e.e(n,o);this._updateMapTransform(t,r,n),this._changes=[]}_updateMapTransform(t,e,r){const n=this._map,i=n._getTransformForUpdate(),a=n.terrain;if(!(Mi(t)||a&&this._terrainMovement))return this._fireEvents(e,r,!0);let{panDelta:o,zoomDelta:s,bearingDelta:l,pitchDelta:c,around:u,pinchAround:h}=t;void 0!==h&&(u=h),n._stop(!0),u=u||n.transform.centerPoint;const f=i.pointLocation(o?u.sub(o):u);l&&(i.bearing+=l),c&&(i.pitch+=c),s&&(i.zoom+=s),a?this._terrainMovement||!e.drag&&!e.zoom?e.drag&&this._terrainMovement?i.center=i.pointLocation(i.centerPoint.sub(o)):i.setLocationAtPoint(f,u):(this._terrainMovement=!0,this._map._elevationFreeze=!0,i.setLocationAtPoint(f,u)):i.setLocationAtPoint(f,u),n._applyUpdatedTransform(i),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r,!0)}_fireEvents(t,r,n){const i=ki(this._eventsInProgress),o=ki(t),s={};for(const e in t){const{originalEvent:r}=t[e];this._eventsInProgress[e]||(s[`${e}start`]=r),this._eventsInProgress[e]=t[e]}!i&&o&&this._fireEvent(\"movestart\",o.originalEvent);for(const t in s)this._fireEvent(t,s[t]);o&&this._fireEvent(\"move\",o.originalEvent);for(const e in t){const{originalEvent:r}=t[e];this._fireEvent(e,r)}const l={};let c;for(const t in this._eventsInProgress){const{handlerName:e,originalEvent:n}=this._eventsInProgress[t];this._handlersById[e].isActive()||(delete this._eventsInProgress[t],c=r[e]||n,l[`${t}end`]=c)}for(const t in l)this._fireEvent(t,l[t]);const u=ki(this._eventsInProgress),h=(i||o)&&!u;if(h&&this._terrainMovement){this._map._elevationFreeze=!1,this._terrainMovement=!1;const t=this._map._getTransformForUpdate();t.recalculateZoom(this._map.terrain),this._map._applyUpdatedTransform(t)}if(n&&h){this._updatingCamera=!0;const t=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),r=t=>0!==t&&-this._bearingSnap{delete this._frameId,this.handleEvent(new Ai(\"renderFrame\",{timeStamp:t})),this._applyChanges()}))}_triggerRenderFrame(){void 0===this._frameId&&(this._frameId=this._requestFrame())}}class Ei extends e.E{constructor(t,e){super(),this._renderFrameCallback=()=>{const t=Math.min((a.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(t)),t<1&&this._easeFrameId?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},this._moving=!1,this._zooming=!1,this.transform=t,this._bearingSnap=e.bearingSnap,this.on(\"moveend\",(()=>{delete this._requestedCameraState}))}getCenter(){return new e.N(this.transform.center.lng,this.transform.center.lat)}setCenter(t,e){return this.jumpTo({center:t},e)}panBy(t,r,n){return t=e.P.convert(t).mult(-1),this.panTo(this.transform.center,e.e({offset:t},r),n)}panTo(t,r,n){return this.easeTo(e.e({center:t},r),n)}getZoom(){return this.transform.zoom}setZoom(t,e){return this.jumpTo({zoom:t},e),this}zoomTo(t,r,n){return this.easeTo(e.e({zoom:t},r),n)}zoomIn(t,e){return this.zoomTo(this.getZoom()+1,t,e),this}zoomOut(t,e){return this.zoomTo(this.getZoom()-1,t,e),this}getBearing(){return this.transform.bearing}setBearing(t,e){return this.jumpTo({bearing:t},e),this}getPadding(){return this.transform.padding}setPadding(t,e){return this.jumpTo({padding:t},e),this}rotateTo(t,r,n){return this.easeTo(e.e({bearing:t},r),n)}resetNorth(t,r){return this.rotateTo(0,e.e({duration:1e3},t),r),this}resetNorthPitch(t,r){return this.easeTo(e.e({bearing:0,pitch:0,duration:1e3},t),r),this}snapToNorth(t,e){return Math.abs(this.getBearing()){if(this._zooming&&(i.zoom=e.z.number(o,y,n)),this._rotating&&(i.bearing=e.z.number(s,u,n)),this._pitching&&(i.pitch=e.z.number(l,h,n)),this._padding&&(i.interpolatePadding(c,f,n),d=i.centerPoint.add(p)),this.terrain&&!t.freezeElevation&&this._updateElevation(n),b)i.setLocationAtPoint(b,w);else{const t=i.zoomScale(i.zoom-o),e=y>o?Math.min(2,_):Math.max(.5,_),r=Math.pow(e,1-n),a=i.unproject(v.add(x.mult(n*r)).mult(t));i.setLocationAtPoint(i.renderWorldCopies?a.wrap():a,d)}this._applyUpdatedTransform(i),this._fireMoveEvents(r)}),(e=>{this.terrain&&t.freezeElevation&&this._finalizeElevation(),this._afterEase(r,e)}),t),this}_prepareEase(t,r,n={}){this._moving=!0,r||n.moving||this.fire(new e.k(\"movestart\",t)),this._zooming&&!n.zooming&&this.fire(new e.k(\"zoomstart\",t)),this._rotating&&!n.rotating&&this.fire(new e.k(\"rotatestart\",t)),this._pitching&&!n.pitching&&this.fire(new e.k(\"pitchstart\",t))}_prepareElevation(t){this._elevationCenter=t,this._elevationStart=this.transform.elevation,this._elevationTarget=this.terrain.getElevationForLngLatZoom(t,this.transform.tileZoom),this._elevationFreeze=!0}_updateElevation(t){this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this._elevationCenter,this.transform.tileZoom);const r=this.terrain.getElevationForLngLatZoom(this._elevationCenter,this.transform.tileZoom);if(t<1&&r!==this._elevationTarget){const e=this._elevationTarget-this._elevationStart,n=(r-(e*t+this._elevationStart))/(1-t);this._elevationStart+=t*(e-n),this._elevationTarget=r}this.transform.elevation=e.z.number(this._elevationStart,this._elevationTarget,t)}_finalizeElevation(){this._elevationFreeze=!1,this.transform.recalculateZoom(this.terrain)}_getTransformForUpdate(){return this.transformCameraUpdate||this.terrain?(this._requestedCameraState||(this._requestedCameraState=this.transform.clone()),this._requestedCameraState):this.transform}_elevateCameraIfInsideTerrain(t){const e=t.getCameraPosition(),r=this.terrain.getElevationForLngLatZoom(e.lngLat,t.zoom);if(e.altitudethis._elevateCameraIfInsideTerrain(t))),this.transformCameraUpdate&&e.push((t=>this.transformCameraUpdate(t))),!e.length)return;const r=t.clone();for(const t of e){const e=r.clone(),{center:n,zoom:i,pitch:a,bearing:o,elevation:s}=t(e);n&&(e.center=n),void 0!==i&&(e.zoom=i),void 0!==a&&(e.pitch=a),void 0!==o&&(e.bearing=o),void 0!==s&&(e.elevation=s),r.apply(e)}this.transform.apply(r)}_fireMoveEvents(t){this.fire(new e.k(\"move\",t)),this._zooming&&this.fire(new e.k(\"zoom\",t)),this._rotating&&this.fire(new e.k(\"rotate\",t)),this._pitching&&this.fire(new e.k(\"pitch\",t))}_afterEase(t,r){if(this._easeId&&r&&this._easeId===r)return;delete this._easeId;const 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 e.k(\"zoomend\",t)),i&&this.fire(new e.k(\"rotateend\",t)),a&&this.fire(new e.k(\"pitchend\",t)),this.fire(new e.k(\"moveend\",t))}flyTo(t,r){var n;if(!t.essential&&a.prefersReducedMotion){const n=e.M(t,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(n,r)}this.stop(),t=e.e({offset:[0,0],speed:1.2,curve:1.42,easing:e.b9},t);const i=this._getTransformForUpdate(),o=i.zoom,s=i.bearing,l=i.pitch,c=i.padding,u=\"bearing\"in t?this._normalizeBearing(t.bearing,s):s,h=\"pitch\"in t?+t.pitch:l,f=\"padding\"in t?t.padding:i.padding,p=e.P.convert(t.offset);let d=i.centerPoint.add(p);const m=i.pointLocation(d),{center:g,zoom:y}=i.getConstrained(e.N.convert(t.center||m),null!==(n=t.zoom)&&void 0!==n?n:o);this._normalizeCenter(g,i);const v=i.zoomScale(y-o),x=i.project(m),_=i.project(g).sub(x);let b=t.curve;const w=Math.max(i.width,i.height),T=w/v,k=_.mag();if(\"minZoom\"in t){const r=e.ad(Math.min(t.minZoom,o,y),i.minZoom,i.maxZoom),n=w/i.zoomScale(r-o);b=Math.sqrt(n/k*2)}const A=b*b;function M(t){const e=(T*T-w*w+(t?-1:1)*A*A*k*k)/(2*(t?T:w)*A*k);return Math.log(Math.sqrt(e*e+1)-e)}function S(t){return(Math.exp(t)-Math.exp(-t))/2}function E(t){return(Math.exp(t)+Math.exp(-t))/2}const C=M(!1);let L=function(t){return E(C)/E(C+b*t)},I=function(t){return w*((E(C)*(S(e=C+b*t)/E(e))-S(C))/A)/k;var e},P=(M(!0)-C)/b;if(Math.abs(k)<1e-6||!isFinite(P)){if(Math.abs(w-T)<1e-6)return this.easeTo(t,r);const e=T0,L=t=>Math.exp(e*b*t)}if(\"duration\"in t)t.duration=+t.duration;else{const e=\"screenSpeed\"in t?+t.screenSpeed/b:+t.speed;t.duration=1e3*P/e}return t.maxDuration&&t.duration>t.maxDuration&&(t.duration=0),this._zooming=!0,this._rotating=s!==u,this._pitching=h!==l,this._padding=!i.isPaddingEqual(f),this._prepareEase(r,!1),this.terrain&&this._prepareElevation(g),this._ease((n=>{const a=n*P,m=1/L(a);i.zoom=1===n?y:o+i.scaleZoom(m),this._rotating&&(i.bearing=e.z.number(s,u,n)),this._pitching&&(i.pitch=e.z.number(l,h,n)),this._padding&&(i.interpolatePadding(c,f,n),d=i.centerPoint.add(p)),this.terrain&&!t.freezeElevation&&this._updateElevation(n);const v=1===n?g:i.unproject(x.add(_.mult(I(a))).mult(m));i.setLocationAtPoint(i.renderWorldCopies?v.wrap():v,d),this._applyUpdatedTransform(i),this._fireMoveEvents(r)}),(()=>{this.terrain&&t.freezeElevation&&this._finalizeElevation(),this._afterEase(r)}),t),this}isEasing(){return!!this._easeFrameId}stop(){return this._stop()}_stop(t,e){var r;if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){const t=this._onEaseEnd;delete this._onEaseEnd,t.call(this,e)}return t||null===(r=this.handlers)||void 0===r||r.stop(!1),this}_ease(t,e,r){!1===r.animate||0===r.duration?(t(1),e()):(this._easeStart=a.now(),this._easeOptions=r,this._onEaseFrame=t,this._onEaseEnd=e,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))}_normalizeBearing(t,r){t=e.b3(t,-180,180);const n=Math.abs(t-r);return Math.abs(t-360-r)180?-360:r<-180?360:0}queryTerrainElevation(t){return this.terrain?this.terrain.getElevationForLngLatZoom(e.N.convert(t),this.transform.tileZoom)-this.transform.elevation:null}}const Ci={compact:!0,customAttribution:'
MapLibre'};class Li{constructor(t=Ci){this._toggleAttribution=()=>{this._container.classList.contains(\"maplibregl-compact\")&&(this._container.classList.contains(\"maplibregl-compact-show\")?(this._container.setAttribute(\"open\",\"\"),this._container.classList.remove(\"maplibregl-compact-show\")):(this._container.classList.add(\"maplibregl-compact-show\"),this._container.removeAttribute(\"open\")))},this._updateData=t=>{!t||\"metadata\"!==t.sourceDataType&&\"visibility\"!==t.sourceDataType&&\"style\"!==t.dataType&&\"terrain\"!==t.type||this._updateAttributions()},this._updateCompact=()=>{this._map.getCanvasContainer().offsetWidth<=640||this._compact?!1===this._compact?this._container.setAttribute(\"open\",\"\"):this._container.classList.contains(\"maplibregl-compact\")||this._container.classList.contains(\"maplibregl-attrib-empty\")||(this._container.setAttribute(\"open\",\"\"),this._container.classList.add(\"maplibregl-compact\",\"maplibregl-compact-show\")):(this._container.setAttribute(\"open\",\"\"),this._container.classList.contains(\"maplibregl-compact\")&&this._container.classList.remove(\"maplibregl-compact\",\"maplibregl-compact-show\"))},this._updateCompactMinimize=()=>{this._container.classList.contains(\"maplibregl-compact\")&&this._container.classList.contains(\"maplibregl-compact-show\")&&this._container.classList.remove(\"maplibregl-compact-show\")},this.options=t}getDefaultPosition(){return\"bottom-right\"}onAdd(t){return this._map=t,this._compact=this.options.compact,this._container=o.create(\"details\",\"maplibregl-ctrl maplibregl-ctrl-attrib\"),this._compactButton=o.create(\"summary\",\"maplibregl-ctrl-attrib-button\",this._container),this._compactButton.addEventListener(\"click\",this._toggleAttribution),this._setElementTitle(this._compactButton,\"ToggleAttribution\"),this._innerContainer=o.create(\"div\",\"maplibregl-ctrl-attrib-inner\",this._container),this._updateAttributions(),this._updateCompact(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"terrain\",this._updateData),this._map.on(\"resize\",this._updateCompact),this._map.on(\"drag\",this._updateCompactMinimize),this._container}onRemove(){o.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"terrain\",this._updateData),this._map.off(\"resize\",this._updateCompact),this._map.off(\"drag\",this._updateCompactMinimize),this._map=void 0,this._compact=void 0,this._attribHTML=void 0}_setElementTitle(t,e){const r=this._map._getUIString(`AttributionControl.${e}`);t.title=r,t.setAttribute(\"aria-label\",r)}_updateAttributions(){if(!this._map.style)return;let t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((t=>\"string\"!=typeof t?\"\":t))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){const t=this._map.style.stylesheet;this.styleOwner=t.owner,this.styleId=t.id}const e=this._map.style.sourceCaches;for(const r in e){const n=e[r];if(n.used||n.usedForTerrain){const e=n.getSource();e.attribution&&t.indexOf(e.attribution)<0&&t.push(e.attribution)}}t=t.filter((t=>String(t).trim())),t.sort(((t,e)=>t.length-e.length)),t=t.filter(((e,r)=>{for(let n=r+1;n=0)return!1;return!0}));const r=t.join(\" | \");r!==this._attribHTML&&(this._attribHTML=r,t.length?(this._innerContainer.innerHTML=r,this._container.classList.remove(\"maplibregl-attrib-empty\")):this._container.classList.add(\"maplibregl-attrib-empty\"),this._updateCompact(),this._editLink=null)}}class Ii{constructor(t={}){this._updateCompact=()=>{const t=this._container.children;if(t.length){const e=t[0];this._map.getCanvasContainer().offsetWidth<=640||this._compact?!1!==this._compact&&e.classList.add(\"maplibregl-compact\"):e.classList.remove(\"maplibregl-compact\")}},this.options=t}getDefaultPosition(){return\"bottom-left\"}onAdd(t){this._map=t,this._compact=this.options&&this.options.compact,this._container=o.create(\"div\",\"maplibregl-ctrl\");const e=o.create(\"a\",\"maplibregl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://maplibre.org/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"block\",this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container}onRemove(){o.remove(this._container),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._compact=void 0}}class Pi{constructor(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1}add(t){const e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e}remove(t){const e=this._currentlyRunning,r=e?this._queue.concat(e):this._queue;for(const e of r)if(e.id===t)return void(e.cancelled=!0)}run(t=0){if(this._currentlyRunning)throw new Error(\"Attempting to run(), but is already running.\");const e=this._currentlyRunning=this._queue;this._queue=[];for(const r of e)if(!r.cancelled&&(r.callback(t),this._cleared))break;this._cleared=!1,this._currentlyRunning=!1}clear(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]}}var zi=e.Y([{name:\"a_pos3d\",type:\"Int16\",components:3}]);class Oi extends e.E{constructor(t){super(),this.sourceCache=t,this._tiles={},this._renderableTilesKeys=[],this._sourceTileCache={},this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.deltaZoom=1,t.usedForTerrain=!0,t.tileSize=this.tileSize*2**this.deltaZoom}destruct(){this.sourceCache.usedForTerrain=!1,this.sourceCache.tileSize=null}update(t,r){this.sourceCache.update(t,r),this._renderableTilesKeys=[];const n={};for(const i of t.coveringTiles({tileSize:this.tileSize,minzoom:this.minzoom,maxzoom:this.maxzoom,reparseOverscaled:!1,terrain:r}))n[i.key]=!0,this._renderableTilesKeys.push(i.key),this._tiles[i.key]||(i.posMatrix=new Float64Array(16),e.aQ(i.posMatrix,0,e.X,0,e.X,0,1),this._tiles[i.key]=new ht(i,this.tileSize));for(const t in this._tiles)n[t]||delete this._tiles[t]}freeRtt(t){for(const e in this._tiles){const r=this._tiles[e];(!t||r.tileID.equals(t)||r.tileID.isChildOf(t)||t.isChildOf(r.tileID))&&(r.rtt=[])}}getRenderableTiles(){return this._renderableTilesKeys.map((t=>this.getTileByID(t)))}getTileByID(t){return this._tiles[t]}getTerrainCoords(t){const r={};for(const n of this._renderableTilesKeys){const i=this._tiles[n].tileID;if(i.canonical.equals(t.canonical)){const i=t.clone();i.posMatrix=new Float64Array(16),e.aQ(i.posMatrix,0,e.X,0,e.X,0,1),r[n]=i}else if(i.canonical.isChildOf(t.canonical)){const a=t.clone();a.posMatrix=new Float64Array(16);const o=i.canonical.z-t.canonical.z,s=i.canonical.x-(i.canonical.x>>o<>o<>o;e.aQ(a.posMatrix,0,c,0,c,0,1),e.J(a.posMatrix,a.posMatrix,[-s*c,-l*c,0]),r[n]=a}else if(t.canonical.isChildOf(i.canonical)){const a=t.clone();a.posMatrix=new Float64Array(16);const o=t.canonical.z-i.canonical.z,s=t.canonical.x-(t.canonical.x>>o<>o<>o;e.aQ(a.posMatrix,0,e.X,0,e.X,0,1),e.J(a.posMatrix,a.posMatrix,[s*c,l*c,0]),e.K(a.posMatrix,a.posMatrix,[1/2**o,1/2**o,0]),r[n]=a}}return r}getSourceTile(t,e){const r=this.sourceCache._source;let n=t.overscaledZ-this.deltaZoom;if(n>r.maxzoom&&(n=r.maxzoom),n=r.minzoom&&(!i||!i.dem);)i=this.sourceCache.getTileByID(t.scaledTo(n--).key);return i}tilesAfterTime(t=Date.now()){return Object.values(this._tiles).filter((e=>e.timeAdded>=t))}}class Di{constructor(t,e,r){this.painter=t,this.sourceCache=new Oi(e),this.options=r,this.exaggeration=\"number\"==typeof r.exaggeration?r.exaggeration:1,this.qualityFactor=2,this.meshSize=128,this._demMatrixCache={},this.coordsIndex=[],this._coordsTextureSize=1024}getDEMElevation(t,r,n,i=e.X){var a;if(!(r>=0&&r=0&&nt.canonical.z&&(t.canonical.z>=n?i=t.canonical.z-n:e.w(\"cannot calculate elevation if elevation maxzoom > source.maxzoom\"));const a=t.canonical.x-(t.canonical.x>>i<>i<>8<<4|t>>8,r[e+3]=0;const n=new e.R({width:this._coordsTextureSize,height:this._coordsTextureSize},new Uint8Array(r.buffer)),i=new w(t,n,t.gl.RGBA,{premultiply:!1});return i.bind(t.gl.NEAREST,t.gl.CLAMP_TO_EDGE),this._coordsTexture=i,i}pointCoordinate(t){this.painter.maybeDrawDepthAndCoords(!0);const r=new Uint8Array(4),n=this.painter.context,i=n.gl,a=Math.round(t.x*this.painter.pixelRatio/devicePixelRatio),o=Math.round(t.y*this.painter.pixelRatio/devicePixelRatio),s=Math.round(this.painter.height/devicePixelRatio);n.bindFramebuffer.set(this.getFramebuffer(\"coords\").framebuffer),i.readPixels(a,s-o-1,1,1,i.RGBA,i.UNSIGNED_BYTE,r),n.bindFramebuffer.set(null);const l=r[0]+(r[2]>>4<<8),c=r[1]+((15&r[2])<<8),u=this.coordsIndex[255-r[3]],h=u&&this.sourceCache.getTileByID(u);if(!h)return null;const f=this._coordsTextureSize,p=(1<t.id!==e)),this._recentlyUsed.push(t.id)}stampObject(t){t.stamp=++this._stamp}getOrCreateFreeObject(){for(const t of this._recentlyUsed)if(!this._objects[t].inUse)return this._objects[t];if(this._objects.length>=this._size)throw new Error(\"No free RenderPool available, call freeAllObjects() required!\");const t=this._createObject(this._objects.length);return this._objects.push(t),t}freeObject(t){t.inUse=!1}freeAllObjects(){for(const t of this._objects)this.freeObject(t)}isFull(){return!(this._objects.length!t.inUse))}}const Fi={background:!0,fill:!0,line:!0,raster:!0,hillshade:!0};class Bi{constructor(t,e){this.painter=t,this.terrain=e,this.pool=new Ri(t.context,30,e.sourceCache.tileSize*e.qualityFactor)}destruct(){this.pool.destruct()}getTexture(t){return this.pool.getObjectForId(t.rtt[this._stacks.length-1].id).texture}prepareForRender(t,e){this._stacks=[],this._prevType=null,this._rttTiles=[],this._renderableTiles=this.terrain.sourceCache.getRenderableTiles(),this._renderableLayerIds=t._order.filter((r=>!t._layers[r].isHidden(e))),this._coordsDescendingInv={};for(const e in t.sourceCaches){this._coordsDescendingInv[e]={};const r=t.sourceCaches[e].getVisibleCoordinates();for(const t of r){const r=this.terrain.sourceCache.getTerrainCoords(t);for(const t in r)this._coordsDescendingInv[e][t]||(this._coordsDescendingInv[e][t]=[]),this._coordsDescendingInv[e][t].push(r[t])}}this._coordsDescendingInvStr={};for(const e of t._order){const r=t._layers[e],n=r.source;if(Fi[r.type]&&!this._coordsDescendingInvStr[n]){this._coordsDescendingInvStr[n]={};for(const t in this._coordsDescendingInv[n])this._coordsDescendingInvStr[n][t]=this._coordsDescendingInv[n][t].map((t=>t.key)).sort().join()}}for(const t of this._renderableTiles)for(const e in this._coordsDescendingInvStr){const r=this._coordsDescendingInvStr[e][t.tileID.key];r&&r!==t.rttCoords[e]&&(t.rtt=[])}}renderLayer(t){if(t.isHidden(this.painter.transform.zoom))return!1;const r=t.type,n=this.painter,i=this._renderableLayerIds[this._renderableLayerIds.length-1]===t.id;if(Fi[r]&&(this._prevType&&Fi[this._prevType]||this._stacks.push([]),this._prevType=r,this._stacks[this._stacks.length-1].push(t.id),!i))return!0;if(Fi[this._prevType]||Fi[r]&&i){this._prevType=r;const t=this._stacks.length-1,i=this._stacks[t]||[];for(const r of this._renderableTiles){if(this.pool.isFull()&&(bn(this.painter,this.terrain,this._rttTiles),this._rttTiles=[],this.pool.freeAllObjects()),this._rttTiles.push(r),r.rtt[t]){const e=this.pool.getObjectForId(r.rtt[t].id);if(e.stamp===r.rtt[t].stamp){this.pool.useObject(e);continue}}const a=this.pool.getOrCreateFreeObject();this.pool.useObject(a),this.pool.stampObject(a),r.rtt[t]={id:a.id,stamp:a.stamp},n.context.bindFramebuffer.set(a.fbo.framebuffer),n.context.clear({color:e.aN.transparent,stencil:0}),n.currentStencilSource=void 0;for(let t=0;t{t.touchstart=t.dragStart,t.touchmoveWindow=t.dragMove,t.touchend=t.dragEnd},qi={showCompass:!0,showZoom:!0,visualizePitch:!1};class Hi{constructor(t,r,n=!1){this.mousedown=t=>{this.startMouse(e.e({},t,{ctrlKey:!0,preventDefault:()=>t.preventDefault()}),o.mousePos(this.element,t)),o.addEventListener(window,\"mousemove\",this.mousemove),o.addEventListener(window,\"mouseup\",this.mouseup)},this.mousemove=t=>{this.moveMouse(t,o.mousePos(this.element,t))},this.mouseup=t=>{this.mouseRotate.dragEnd(t),this.mousePitch&&this.mousePitch.dragEnd(t),this.offTemp()},this.touchstart=t=>{1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=o.touchPos(this.element,t.targetTouches)[0],this.startTouch(t,this._startPos),o.addEventListener(window,\"touchmove\",this.touchmove,{passive:!1}),o.addEventListener(window,\"touchend\",this.touchend))},this.touchmove=t=>{1!==t.targetTouches.length?this.reset():(this._lastPos=o.touchPos(this.element,t.targetTouches)[0],this.moveTouch(t,this._lastPos))},this.touchend=t=>{0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),this.touchRotate.reset(),this.touchPitch&&this.touchPitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()},this._clickTolerance=10;const i=t.dragRotate._mouseRotate.getClickTolerance(),a=t.dragRotate._mousePitch.getClickTolerance();this.element=r,this.mouseRotate=ei({clickTolerance:i,enable:!0}),this.touchRotate=(({enable:t,clickTolerance:e,bearingDegreesPerPixelMoved:r=.8})=>{const n=new Qn;return new $n({clickTolerance:e,move:(t,e)=>({bearingDelta:(e.x-t.x)*r}),moveStateManager:n,enable:t,assignEvents:Vi})})({clickTolerance:i,enable:!0}),this.map=t,n&&(this.mousePitch=ri({clickTolerance:a,enable:!0}),this.touchPitch=(({enable:t,clickTolerance:e,pitchDegreesPerPixelMoved:r=-.5})=>{const n=new Qn;return new $n({clickTolerance:e,move:(t,e)=>({pitchDelta:(e.y-t.y)*r}),moveStateManager:n,enable:t,assignEvents:Vi})})({clickTolerance:a,enable:!0})),o.addEventListener(r,\"mousedown\",this.mousedown),o.addEventListener(r,\"touchstart\",this.touchstart,{passive:!1}),o.addEventListener(r,\"touchcancel\",this.reset)}startMouse(t,e){this.mouseRotate.dragStart(t,e),this.mousePitch&&this.mousePitch.dragStart(t,e),o.disableDrag()}startTouch(t,e){this.touchRotate.dragStart(t,e),this.touchPitch&&this.touchPitch.dragStart(t,e),o.disableDrag()}moveMouse(t,e){const r=this.map,{bearingDelta:n}=this.mouseRotate.dragMove(t,e)||{};if(n&&r.setBearing(r.getBearing()+n),this.mousePitch){const{pitchDelta:n}=this.mousePitch.dragMove(t,e)||{};n&&r.setPitch(r.getPitch()+n)}}moveTouch(t,e){const r=this.map,{bearingDelta:n}=this.touchRotate.dragMove(t,e)||{};if(n&&r.setBearing(r.getBearing()+n),this.touchPitch){const{pitchDelta:n}=this.touchPitch.dragMove(t,e)||{};n&&r.setPitch(r.getPitch()+n)}}off(){const t=this.element;o.removeEventListener(t,\"mousedown\",this.mousedown),o.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),o.removeEventListener(window,\"touchmove\",this.touchmove,{passive:!1}),o.removeEventListener(window,\"touchend\",this.touchend),o.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()}offTemp(){o.enableDrag(),o.removeEventListener(window,\"mousemove\",this.mousemove),o.removeEventListener(window,\"mouseup\",this.mouseup),o.removeEventListener(window,\"touchmove\",this.touchmove,{passive:!1}),o.removeEventListener(window,\"touchend\",this.touchend)}}let Gi;function Zi(t,r,n){const i=new e.N(t.lng,t.lat);if(t=new e.N(t.lng,t.lat),r){const i=new e.N(t.lng-360,t.lat),a=new e.N(t.lng+360,t.lat),o=n.locationPoint(t).distSqr(r);n.locationPoint(i).distSqr(r)180;){const e=n.locationPoint(t);if(e.x>=0&&e.y>=0&&e.x<=n.width&&e.y<=n.height)break;t.lng>n.center.lng?t.lng-=360:t.lng+=360}return t.lng!==i.lng&&n.locationPoint(t).y>n.height/2-n.getHorizon()?t:i}const Wi={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 Yi(t,e,r){const n=t.classList;for(const t in Wi)n.remove(`maplibregl-${r}-anchor-${t}`);n.add(`maplibregl-${r}-anchor-${e}`)}class Xi extends e.E{constructor(t){if(super(),this._onKeyPress=t=>{const e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},this._onMapClick=t=>{const e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},this._update=t=>{var e;if(!this._map)return;const r=this._map.loaded()&&!this._map.isMoving();(\"terrain\"===(null==t?void 0:t.type)||\"render\"===(null==t?void 0:t.type)&&!r)&&this._map.once(\"render\",this._update),this._map.transform.renderWorldCopies?this._lngLat=Zi(this._lngLat,this._flatPos,this._map.transform):this._lngLat=null===(e=this._lngLat)||void 0===e?void 0:e.wrap(),this._flatPos=this._pos=this._map.project(this._lngLat)._add(this._offset),this._map.terrain&&(this._flatPos=this._map.transform.locationPoint(this._lngLat)._add(this._offset));let n=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?n=`rotateZ(${this._rotation}deg)`:\"map\"===this._rotationAlignment&&(n=`rotateZ(${this._rotation-this._map.getBearing()}deg)`);let i=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?i=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(i=`rotateX(${this._map.getPitch()}deg)`),this._subpixelPositioning||t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),o.setTransform(this._element,`${Wi[this._anchor]} translate(${this._pos.x}px, ${this._pos.y}px) ${i} ${n}`),a.frameAsync(new AbortController).then((()=>{this._updateOpacity(t&&\"moveend\"===t.type)})).catch((()=>{}))},this._onMove=t=>{if(!this._isDragging){const e=this._clickTolerance||this._map._clickTolerance;this._isDragging=t.point.dist(this._pointerdownPos)>=e}this._isDragging&&(this._pos=t.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 e.k(\"dragstart\"))),this.fire(new e.k(\"drag\")))},this._onUp=()=>{this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._pointerdownPos=null,this._isDragging=!1,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new e.k(\"dragend\")),this._state=\"inactive\"},this._addDragHandler=t=>{this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._pointerdownPos=t.point,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))},this._anchor=t&&t.anchor||\"center\",this._color=t&&t.color||\"#3FB1CE\",this._scale=t&&t.scale||1,this._draggable=t&&t.draggable||!1,this._clickTolerance=t&&t.clickTolerance||0,this._subpixelPositioning=t&&t.subpixelPositioning||!1,this._isDragging=!1,this._state=\"inactive\",this._rotation=t&&t.rotation||0,this._rotationAlignment=t&&t.rotationAlignment||\"auto\",this._pitchAlignment=t&&t.pitchAlignment&&\"auto\"!==t.pitchAlignment?t.pitchAlignment:this._rotationAlignment,this.setOpacity(),this.setOpacity(null==t?void 0:t.opacity,null==t?void 0:t.opacityWhenCovered),t&&t.element)this._element=t.element,this._offset=e.P.convert(t&&t.offset||[0,0]);else{this._defaultMarker=!0,this._element=o.create(\"div\");const r=o.createNS(\"http://www.w3.org/2000/svg\",\"svg\"),n=41,i=27;r.setAttributeNS(null,\"display\",\"block\"),r.setAttributeNS(null,\"height\",`${n}px`),r.setAttributeNS(null,\"width\",`${i}px`),r.setAttributeNS(null,\"viewBox\",`0 0 ${i} ${n}`);const a=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");a.setAttributeNS(null,\"stroke\",\"none\"),a.setAttributeNS(null,\"stroke-width\",\"1\"),a.setAttributeNS(null,\"fill\",\"none\"),a.setAttributeNS(null,\"fill-rule\",\"evenodd\");const s=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"fill-rule\",\"nonzero\");const l=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),l.setAttributeNS(null,\"fill\",\"#000000\");const c=[{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\"}];for(const t of c){const e=o.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");e.setAttributeNS(null,\"opacity\",\"0.04\"),e.setAttributeNS(null,\"cx\",\"10.5\"),e.setAttributeNS(null,\"cy\",\"5.80029008\"),e.setAttributeNS(null,\"rx\",t.rx),e.setAttributeNS(null,\"ry\",t.ry),l.appendChild(e)}const u=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");u.setAttributeNS(null,\"fill\",this._color);const h=o.createNS(\"http://www.w3.org/2000/svg\",\"path\");h.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\"),u.appendChild(h);const f=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");f.setAttributeNS(null,\"opacity\",\"0.25\"),f.setAttributeNS(null,\"fill\",\"#000000\");const p=o.createNS(\"http://www.w3.org/2000/svg\",\"path\");p.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\"),f.appendChild(p);const d=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");d.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),d.setAttributeNS(null,\"fill\",\"#FFFFFF\");const m=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");const g=o.createNS(\"http://www.w3.org/2000/svg\",\"circle\");g.setAttributeNS(null,\"fill\",\"#000000\"),g.setAttributeNS(null,\"opacity\",\"0.25\"),g.setAttributeNS(null,\"cx\",\"5.5\"),g.setAttributeNS(null,\"cy\",\"5.5\"),g.setAttributeNS(null,\"r\",\"5.4999962\");const y=o.createNS(\"http://www.w3.org/2000/svg\",\"circle\");y.setAttributeNS(null,\"fill\",\"#FFFFFF\"),y.setAttributeNS(null,\"cx\",\"5.5\"),y.setAttributeNS(null,\"cy\",\"5.5\"),y.setAttributeNS(null,\"r\",\"5.4999962\"),m.appendChild(g),m.appendChild(y),s.appendChild(l),s.appendChild(u),s.appendChild(f),s.appendChild(d),s.appendChild(m),r.appendChild(s),r.setAttributeNS(null,\"height\",n*this._scale+\"px\"),r.setAttributeNS(null,\"width\",i*this._scale+\"px\"),this._element.appendChild(r),this._offset=e.P.convert(t&&t.offset||[0,-14])}if(this._element.classList.add(\"maplibregl-marker\"),this._element.addEventListener(\"dragstart\",(t=>{t.preventDefault()})),this._element.addEventListener(\"mousedown\",(t=>{t.preventDefault()})),Yi(this._element,this._anchor,\"marker\"),t&&t.className)for(const e of t.className.split(\" \"))this._element.classList.add(e);this._popup=null}addTo(t){return this.remove(),this._map=t,this._element.setAttribute(\"aria-label\",t._getUIString(\"Marker.Title\")),t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),t.on(\"terrain\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this}remove(){return this._opacityTimeout&&(clearTimeout(this._opacityTimeout),delete this._opacityTimeout),this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"terrain\",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),o.remove(this._element),this._popup&&this._popup.remove(),this}getLngLat(){return this._lngLat}setLngLat(t){return this._lngLat=e.N.convert(t),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this}getElement(){return this._element}setPopup(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)){const e=38.1,r=13.5,n=Math.abs(r)/Math.SQRT2;t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-e],\"bottom-left\":[n,-1*(e-r+n)],\"bottom-right\":[-n,-1*(e-r+n)],left:[r,-1*(e-r)],right:[-r,-1*(e-r)]}:this._offset}this._popup=t,this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this}setSubpixelPositioning(t){return this._subpixelPositioning=t,this}getPopup(){return this._popup}togglePopup(){const t=this._popup;return this._element.style.opacity===this._opacityWhenCovered?this:t?(t.isOpen()?t.remove():(t.setLngLat(this._lngLat),t.addTo(this._map)),this):this}_updateOpacity(t=!1){var r,n;if(!(null===(r=this._map)||void 0===r?void 0:r.terrain))return void(this._element.style.opacity!==this._opacity&&(this._element.style.opacity=this._opacity));if(t)this._opacityTimeout=null;else{if(this._opacityTimeout)return;this._opacityTimeout=setTimeout((()=>{this._opacityTimeout=null}),100)}const i=this._map,a=i.terrain.depthAtPoint(this._pos),o=i.terrain.getElevationForLngLatZoom(this._lngLat,i.transform.tileZoom);if(i.transform.lngLatToCameraDepth(this._lngLat,o)-a<.006)return void(this._element.style.opacity=this._opacity);const s=-this._offset.y/i.transform._pixelPerMeter,l=Math.sin(i.getPitch()*Math.PI/180)*s,c=i.terrain.depthAtPoint(new e.P(this._pos.x,this._pos.y-this._offset.y)),u=i.transform.lngLatToCameraDepth(this._lngLat,o+l)-c>.006;(null===(n=this._popup)||void 0===n?void 0:n.isOpen())&&u&&this._popup.remove(),this._element.style.opacity=u?this._opacityWhenCovered:this._opacity}getOffset(){return this._offset}setOffset(t){return this._offset=e.P.convert(t),this._update(),this}addClassName(t){this._element.classList.add(t)}removeClassName(t){this._element.classList.remove(t)}toggleClassName(t){return this._element.classList.toggle(t)}setDraggable(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}isDraggable(){return this._draggable}setRotation(t){return this._rotation=t||0,this._update(),this}getRotation(){return this._rotation}setRotationAlignment(t){return this._rotationAlignment=t||\"auto\",this._update(),this}getRotationAlignment(){return this._rotationAlignment}setPitchAlignment(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this}getPitchAlignment(){return this._pitchAlignment}setOpacity(t,e){return void 0===t&&void 0===e&&(this._opacity=\"1\",this._opacityWhenCovered=\"0.2\"),void 0!==t&&(this._opacity=t),void 0!==e&&(this._opacityWhenCovered=e),this._map&&this._updateOpacity(!0),this}}const $i={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};let Ji=0,Ki=!1;class Qi extends e.E{constructor(t){super(),this._onSuccess=t=>{if(this._map){if(this._isOutOfMapMaxBounds(t))return this._setErrorState(),this.fire(new e.k(\"outofmaxbounds\",t)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=t,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-background\");break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(t),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(t),this.options.showUserLocation&&this._dotElement.classList.remove(\"maplibregl-user-location-dot-stale\"),this.fire(new e.k(\"geolocate\",t)),this._finish()}},this._updateCamera=t=>{const r=new e.N(t.coords.longitude,t.coords.latitude),n=t.coords.accuracy,i=this._map.getBearing(),a=e.e({bearing:i},this.options.fitBoundsOptions),o=X.fromLngLat(r,n);this._map.fitBounds(o,a,{geolocateSource:!0})},this._updateMarker=t=>{if(t){const r=new e.N(t.coords.longitude,t.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=t.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},this._onZoom=()=>{this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},this._onError=t=>{if(this._map){if(this.options.trackUserLocation)if(1===t.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;const t=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=t,this._geolocateButton.setAttribute(\"aria-label\",t),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===t.code&&Ki)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"maplibregl-user-location-dot-stale\"),this.fire(new e.k(\"error\",t)),this._finish()}},this._finish=()=>{this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},this._setupUI=()=>{this._map&&(this._container.addEventListener(\"contextmenu\",(t=>t.preventDefault())),this._geolocateButton=o.create(\"button\",\"maplibregl-ctrl-geolocate\",this._container),o.create(\"span\",\"maplibregl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",\"true\"),this._geolocateButton.type=\"button\",this._geolocateButton.disabled=!0)},this._finishSetupUI=t=>{if(this._map){if(!1===t){e.w(\"Geolocation support is not available so the GeolocateControl will be disabled.\");const t=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=t,this._geolocateButton.setAttribute(\"aria-label\",t)}else{const t=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.disabled=!1,this._geolocateButton.title=t,this._geolocateButton.setAttribute(\"aria-label\",t)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=o.create(\"div\",\"maplibregl-user-location-dot\"),this._userLocationDotMarker=new Xi({element:this._dotElement}),this._circleElement=o.create(\"div\",\"maplibregl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Xi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",(()=>this.trigger())),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(t=>{const r=t.originalEvent&&\"resize\"===t.originalEvent.type;t.geolocateSource||\"ACTIVE_LOCK\"!==this._watchState||r||(this._watchState=\"BACKGROUND\",this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this.fire(new e.k(\"trackuserlocationend\")),this.fire(new e.k(\"userlocationlostfocus\")))}))}},this.options=e.e({},$i,t)}onAdd(t){return this._map=t,this._container=o.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._setupUI(),function(){return e._(this,arguments,void 0,(function*(t=!1){if(void 0!==Gi&&!t)return Gi;if(void 0===window.navigator.permissions)return Gi=!!window.navigator.geolocation,Gi;try{const t=yield window.navigator.permissions.query({name:\"geolocation\"});Gi=\"denied\"!==t.state}catch(t){Gi=!!window.navigator.geolocation}return Gi}))}().then((t=>this._finishSetupUI(t))),this._container}onRemove(){void 0!==this._geolocationWatchID&&(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(),o.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Ji=0,Ki=!1}_isOutOfMapMaxBounds(t){const e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitudee.getEast()||r.latitudee.getNorth())}_setErrorState(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\");break;case\"ACTIVE_ERROR\":break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}}_updateCircleRadius(){const t=this._map.getBounds(),e=t.getSouthEast(),r=t.getNorthEast(),n=e.distanceTo(r),i=this._map._container.clientHeight,a=Math.ceil(this._accuracy/(n/i)*2);this._circleElement.style.width=`${a}px`,this._circleElement.style.height=`${a}px`}trigger(){if(!this._setup)return e.w(\"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 e.k(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Ji--,Ki=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background-error\"),this.fire(new e.k(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new e.k(\"trackuserlocationstart\")),this.fire(new e.k(\"userlocationfocus\"));break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active\");break;case\"OFF\":break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){let t;this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),Ji++,Ji>1?(t={maximumAge:6e5,timeout:0},Ki=!0):(t=this.options.positionOptions,Ki=!1),this._geolocationWatchID=window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,t)}}else window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0}_clearWatch(){window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)}}const ta={maxWidth:100,unit:\"metric\"};function ea(t,e,r){const n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){const r=3.2808*s;r>5280?ra(e,n,r/5280,t._getUIString(\"ScaleControl.Miles\")):ra(e,n,r,t._getUIString(\"ScaleControl.Feet\"))}else r&&\"nautical\"===r.unit?ra(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?ra(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):ra(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function ra(t,e,r,n){const i=function(t){const e=Math.pow(10,`${Math.floor(t)}`.length-1);let r=t/e;return r=r>=10?10:r>=5?5:r>=3?3:r>=2?2:r>=1?1:function(t){const e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(r),e*r}(r),a=i/r;t.style.width=e*a+\"px\",t.innerHTML=`${i} ${n}`}class na extends e.E{constructor(t={}){super(),this._onFullscreenChange=()=>{var t;let e=window.document.fullscreenElement||window.document.mozFullScreenElement||window.document.webkitFullscreenElement||window.document.msFullscreenElement;for(;null===(t=null==e?void 0:e.shadowRoot)||void 0===t?void 0:t.fullscreenElement;)e=e.shadowRoot.fullscreenElement;e===this._container!==this._fullscreen&&this._handleFullscreenChange()},this._onClickFullscreen=()=>{this._isFullscreen()?this._exitFullscreen():this._requestFullscreen()},this._fullscreen=!1,t&&t.container&&(t.container instanceof HTMLElement?this._container=t.container:e.w(\"Full screen control 'container' must be a DOM element.\")),\"onfullscreenchange\"in document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in document&&(this._fullscreenchange=\"MSFullscreenChange\")}onAdd(t){return this._map=t,this._container||(this._container=this._map.getContainer()),this._controlContainer=o.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._setupUI(),this._controlContainer}onRemove(){o.remove(this._controlContainer),this._map=null,window.document.removeEventListener(this._fullscreenchange,this._onFullscreenChange)}_setupUI(){const t=this._fullscreenButton=o.create(\"button\",\"maplibregl-ctrl-fullscreen\",this._controlContainer);o.create(\"span\",\"maplibregl-ctrl-icon\",t).setAttribute(\"aria-hidden\",\"true\"),t.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),window.document.addEventListener(this._fullscreenchange,this._onFullscreenChange)}_updateTitle(){const t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t}_getTitle(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")}_isFullscreen(){return this._fullscreen}_handleFullscreenChange(){this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"maplibregl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"maplibregl-ctrl-fullscreen\"),this._updateTitle(),this._fullscreen?(this.fire(new e.k(\"fullscreenstart\")),this._prevCooperativeGesturesEnabled=this._map.cooperativeGestures.isEnabled(),this._map.cooperativeGestures.disable()):(this.fire(new e.k(\"fullscreenend\")),this._prevCooperativeGesturesEnabled&&this._map.cooperativeGestures.enable())}_exitFullscreen(){window.document.exitFullscreen?window.document.exitFullscreen():window.document.mozCancelFullScreen?window.document.mozCancelFullScreen():window.document.msExitFullscreen?window.document.msExitFullscreen():window.document.webkitCancelFullScreen?window.document.webkitCancelFullScreen():this._togglePseudoFullScreen()}_requestFullscreen(){this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen?this._container.webkitRequestFullscreen():this._togglePseudoFullScreen()}_togglePseudoFullScreen(){this._container.classList.toggle(\"maplibregl-pseudo-fullscreen\"),this._handleFullscreenChange(),this._map.resize()}}const ia={closeButton:!0,closeOnClick:!0,focusAfterOpen:!0,className:\"\",maxWidth:\"240px\",subpixelPositioning:!1},aa=[\"a[href]\",\"[tabindex]:not([tabindex='-1'])\",\"[contenteditable]:not([contenteditable='false'])\",\"button:not([disabled])\",\"input:not([disabled])\",\"select:not([disabled])\",\"textarea:not([disabled])\"].join(\", \");class oa extends e.E{constructor(t){super(),this.remove=()=>(this._content&&o.remove(this._content),this._container&&(o.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),this._map._canvasContainer.classList.remove(\"maplibregl-track-pointer\"),delete this._map,this.fire(new e.k(\"close\"))),this),this._onMouseUp=t=>{this._update(t.point)},this._onMouseMove=t=>{this._update(t.point)},this._onDrag=t=>{this._update(t.point)},this._update=t=>{var e;const r=this._lngLat||this._trackPointer;if(!this._map||!r||!this._content)return;if(!this._container){if(this._container=o.create(\"div\",\"maplibregl-popup\",this._map.getContainer()),this._tip=o.create(\"div\",\"maplibregl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className)for(const t of this.options.className.split(\" \"))this._container.classList.add(t);this._closeButton&&this._closeButton.setAttribute(\"aria-label\",this._map._getUIString(\"Popup.Close\")),this._trackPointer&&this._container.classList.add(\"maplibregl-popup-track-pointer\")}if(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=Zi(this._lngLat,this._flatPos,this._map.transform):this._lngLat=null===(e=this._lngLat)||void 0===e?void 0:e.wrap(),this._trackPointer&&!t)return;const n=this._flatPos=this._pos=this._trackPointer&&t?t:this._map.project(this._lngLat);this._map.terrain&&(this._flatPos=this._trackPointer&&t?t:this._map.transform.locationPoint(this._lngLat));let i=this.options.anchor;const a=sa(this.options.offset);if(!i){const t=this._container.offsetWidth,e=this._container.offsetHeight;let r;r=n.y+a.bottom.ythis._map.transform.height-e?[\"bottom\"]:[],n.xthis._map.transform.width-t/2&&r.push(\"right\"),i=0===r.length?\"bottom\":r.join(\"-\")}let s=n.add(a[i]);this.options.subpixelPositioning||(s=s.round()),o.setTransform(this._container,`${Wi[i]} translate(${s.x}px,${s.y}px)`),Yi(this._container,i,\"popup\")},this._onClose=()=>{this.remove()},this.options=e.e(Object.create(ia),t)}addTo(t){return this._map&&this.remove(),this._map=t,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._focusFirstElement(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"maplibregl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"maplibregl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new e.k(\"open\")),this}isOpen(){return!!this._map}getLngLat(){return this._lngLat}setLngLat(t){return this._lngLat=e.N.convert(t),this._pos=null,this._flatPos=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(\"maplibregl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"maplibregl-track-pointer\")),this}trackPointer(){return this._trackPointer=!0,this._pos=null,this._flatPos=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(\"maplibregl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"maplibregl-track-pointer\")),this}getElement(){return this._container}setText(t){return this.setDOMContent(document.createTextNode(t))}setHTML(t){const e=document.createDocumentFragment(),r=document.createElement(\"body\");let n;for(r.innerHTML=t;n=r.firstChild,n;)e.appendChild(n);return this.setDOMContent(e)}getMaxWidth(){var t;return null===(t=this._container)||void 0===t?void 0:t.style.maxWidth}setMaxWidth(t){return this.options.maxWidth=t,this._update(),this}setDOMContent(t){if(this._content)for(;this._content.hasChildNodes();)this._content.firstChild&&this._content.removeChild(this._content.firstChild);else this._content=o.create(\"div\",\"maplibregl-popup-content\",this._container);return this._content.appendChild(t),this._createCloseButton(),this._update(),this._focusFirstElement(),this}addClassName(t){return this._container&&this._container.classList.add(t),this}removeClassName(t){return this._container&&this._container.classList.remove(t),this}setOffset(t){return this.options.offset=t,this._update(),this}toggleClassName(t){if(this._container)return this._container.classList.toggle(t)}setSubpixelPositioning(t){this.options.subpixelPositioning=t}_createCloseButton(){this.options.closeButton&&(this._closeButton=o.create(\"button\",\"maplibregl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.innerHTML=\"×\",this._closeButton.addEventListener(\"click\",this._onClose))}_focusFirstElement(){if(!this.options.focusAfterOpen||!this._container)return;const t=this._container.querySelector(aa);t&&t.focus()}}function sa(t){if(t){if(\"number\"==typeof t){const r=Math.round(Math.abs(t)/Math.SQRT2);return{center:new e.P(0,0),top:new e.P(0,t),\"top-left\":new e.P(r,r),\"top-right\":new e.P(-r,r),bottom:new e.P(0,-t),\"bottom-left\":new e.P(r,-r),\"bottom-right\":new e.P(-r,-r),left:new e.P(t,0),right:new e.P(-t,0)}}if(t instanceof e.P||Array.isArray(t)){const r=e.P.convert(t);return{center:r,top:r,\"top-left\":r,\"top-right\":r,bottom:r,\"bottom-left\":r,\"bottom-right\":r,left:r,right:r}}return{center:e.P.convert(t.center||[0,0]),top:e.P.convert(t.top||[0,0]),\"top-left\":e.P.convert(t[\"top-left\"]||[0,0]),\"top-right\":e.P.convert(t[\"top-right\"]||[0,0]),bottom:e.P.convert(t.bottom||[0,0]),\"bottom-left\":e.P.convert(t[\"bottom-left\"]||[0,0]),\"bottom-right\":e.P.convert(t[\"bottom-right\"]||[0,0]),left:e.P.convert(t.left||[0,0]),right:e.P.convert(t.right||[0,0])}}return sa(new e.P(0,0))}const la=r;t.AJAXError=e.bg,t.Evented=e.E,t.LngLat=e.N,t.MercatorCoordinate=e.Z,t.Point=e.P,t.addProtocol=e.bh,t.config=e.a,t.removeProtocol=e.bi,t.AttributionControl=Li,t.BoxZoomHandler=Gn,t.CanvasSource=it,t.CooperativeGesturesHandler=Ti,t.DoubleClickZoomHandler=yi,t.DragPanHandler=_i,t.DragRotateHandler=bi,t.EdgeInsets=Mn,t.FullscreenControl=na,t.GeoJSONSource=tt,t.GeolocateControl=Qi,t.Hash=Ln,t.ImageSource=rt,t.KeyboardHandler=pi,t.LngLatBounds=X,t.LogoControl=Ii,t.Map=class extends Ei{constructor(t){e.be.mark(e.bf.create);const r=Object.assign(Object.assign({},Ui),t);if(null!=r.minZoom&&null!=r.maxZoom&&r.minZoom>r.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=r.minPitch&&null!=r.maxPitch&&r.minPitch>r.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=r.minPitch&&r.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=r.maxPitch&&r.maxPitch>85)throw new Error(\"maxPitch must be less than or equal to 85\");if(super(new En(r.minZoom,r.maxZoom,r.minPitch,r.maxPitch,r.renderWorldCopies),{bearingSnap:r.bearingSnap}),this._idleTriggered=!1,this._crossFadingFactor=1,this._renderTaskQueue=new Pi,this._controls=[],this._mapId=e.a4(),this._contextLost=t=>{t.preventDefault(),this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this.fire(new e.k(\"webglcontextlost\",{originalEvent:t}))},this._contextRestored=t=>{this._setupPainter(),this.resize(),this._update(),this.fire(new e.k(\"webglcontextrestored\",{originalEvent:t}))},this._onMapScroll=t=>{if(t.target===this._container)return this._container.scrollTop=0,this._container.scrollLeft=0,!1},this._onWindowOnline=()=>{this._update()},this._interactive=r.interactive,this._maxTileCacheSize=r.maxTileCacheSize,this._maxTileCacheZoomLevels=r.maxTileCacheZoomLevels,this._failIfMajorPerformanceCaveat=!0===r.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=!0===r.preserveDrawingBuffer,this._antialias=!0===r.antialias,this._trackResize=!0===r.trackResize,this._bearingSnap=r.bearingSnap,this._refreshExpiredTiles=!0===r.refreshExpiredTiles,this._fadeDuration=r.fadeDuration,this._crossSourceCollisions=!0===r.crossSourceCollisions,this._collectResourceTiming=!0===r.collectResourceTiming,this._locale=Object.assign(Object.assign({},Ni),r.locale),this._clickTolerance=r.clickTolerance,this._overridePixelRatio=r.pixelRatio,this._maxCanvasSize=r.maxCanvasSize,this.transformCameraUpdate=r.transformCameraUpdate,this.cancelPendingTileRequestsWhileZooming=!0===r.cancelPendingTileRequestsWhileZooming,this._imageQueueHandle=p.addThrottleControl((()=>this.isMoving())),this._requestManager=new d(r.transformRequest),\"string\"==typeof r.container){if(this._container=document.getElementById(r.container),!this._container)throw new Error(`Container '${r.container}' not found.`)}else{if(!(r.container instanceof HTMLElement))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=r.container}if(r.maxBounds&&this.setMaxBounds(r.maxBounds),this._setupContainer(),this._setupPainter(),this.on(\"move\",(()=>this._update(!1))).on(\"moveend\",(()=>this._update(!1))).on(\"zoom\",(()=>this._update(!0))).on(\"terrain\",(()=>{this.painter.terrainFacilitator.dirty=!0,this._update(!0)})).once(\"idle\",(()=>{this._idleTriggered=!0})),\"undefined\"!=typeof window){addEventListener(\"online\",this._onWindowOnline,!1);let t=!1;const e=Cn((t=>{this._trackResize&&!this._removed&&this.resize(t)._update()}),50);this._resizeObserver=new ResizeObserver((r=>{t?e(r):t=!0})),this._resizeObserver.observe(this._container)}this.handlers=new Si(this,r);const n=\"string\"==typeof r.hash&&r.hash||void 0;this._hash=r.hash&&new Ln(n).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:r.center,zoom:r.zoom,bearing:r.bearing,pitch:r.pitch}),r.bounds&&(this.resize(),this.fitBounds(r.bounds,e.e({},r.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=r.localIdeographFontFamily,this._validateStyle=r.validateStyle,r.style&&this.setStyle(r.style,{localIdeographFontFamily:r.localIdeographFontFamily}),r.attributionControl&&this.addControl(new Li(\"boolean\"==typeof r.attributionControl?void 0:r.attributionControl)),r.maplibreLogo&&this.addControl(new Ii,r.logoPosition),this.on(\"style.load\",(()=>{this.transform.unmodified&&this.jumpTo(this.style.stylesheet)})),this.on(\"data\",(t=>{this._update(\"style\"===t.dataType),this.fire(new e.k(`${t.dataType}data`,t))})),this.on(\"dataloading\",(t=>{this.fire(new e.k(`${t.dataType}dataloading`,t))})),this.on(\"dataabort\",(t=>{this.fire(new e.k(\"sourcedataabort\",t))}))}_getMapId(){return this._mapId}addControl(t,r){if(void 0===r&&(r=t.getDefaultPosition?t.getDefaultPosition():\"top-right\"),!t||!t.onAdd)return this.fire(new e.j(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));const n=t.onAdd(this);this._controls.push(t);const i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this}removeControl(t){if(!t||!t.onRemove)return this.fire(new e.j(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));const r=this._controls.indexOf(t);return r>-1&&this._controls.splice(r,1),t.onRemove(this),this}hasControl(t){return this._controls.indexOf(t)>-1}calculateCameraOptionsFromTo(t,e,r,n){return null==n&&this.terrain&&(n=this.terrain.getElevationForLngLatZoom(r,this.transform.tileZoom)),super.calculateCameraOptionsFromTo(t,e,r,n)}resize(t){var r;const n=this._containerDimensions(),i=n[0],a=n[1],o=this._getClampedPixelRatio(i,a);if(this._resizeCanvas(i,a,o),this.painter.resize(i,a,o),this.painter.overLimit()){const t=this.painter.context.gl;this._maxCanvasSize=[t.drawingBufferWidth,t.drawingBufferHeight];const e=this._getClampedPixelRatio(i,a);this._resizeCanvas(i,a,e),this.painter.resize(i,a,e)}this.transform.resize(i,a),null===(r=this._requestedCameraState)||void 0===r||r.resize(i,a);const s=!this._moving;return s&&(this.stop(),this.fire(new e.k(\"movestart\",t)).fire(new e.k(\"move\",t))),this.fire(new e.k(\"resize\",t)),s&&this.fire(new e.k(\"moveend\",t)),this}_getClampedPixelRatio(t,e){const{0:r,1:n}=this._maxCanvasSize,i=this.getPixelRatio(),a=t*i,o=e*i,s=a>r?r/a:1,l=o>n?n/o:1;return Math.min(s,l)*i}getPixelRatio(){var t;return null!==(t=this._overridePixelRatio)&&void 0!==t?t:devicePixelRatio}setPixelRatio(t){this._overridePixelRatio=t,this.resize()}getBounds(){return this.transform.getBounds()}getMaxBounds(){return this.transform.getMaxBounds()}setMaxBounds(t){return this.transform.setMaxBounds(X.convert(t)),this._update()}setMinZoom(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()=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\")}getMaxZoom(){return this.transform.maxZoom}setMinPitch(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()85)throw new Error(\"maxPitch must be less than or equal to 85\");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\")}getMaxPitch(){return this.transform.maxPitch}getRenderWorldCopies(){return this.transform.renderWorldCopies}setRenderWorldCopies(t){return this.transform.renderWorldCopies=t,this._update()}project(t){return this.transform.locationPoint(e.N.convert(t),this.style&&this.terrain)}unproject(t){return this.transform.pointLocation(e.P.convert(t),this.terrain)}isMoving(){var t;return this._moving||(null===(t=this.handlers)||void 0===t?void 0:t.isMoving())}isZooming(){var t;return this._zooming||(null===(t=this.handlers)||void 0===t?void 0:t.isZooming())}isRotating(){var t;return this._rotating||(null===(t=this.handlers)||void 0===t?void 0:t.isRotating())}_createDelegatedListener(t,e,r){if(\"mouseenter\"===t||\"mouseover\"===t){let n=!1;const i=i=>{const a=this.getLayer(e)?this.queryRenderedFeatures(i.point,{layers:[e]}):[];a.length?n||(n=!0,r.call(this,new Nn(t,this,i.originalEvent,{features:a}))):n=!1};return{layer:e,listener:r,delegates:{mousemove:i,mouseout:()=>{n=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){let n=!1;const i=i=>{(this.getLayer(e)?this.queryRenderedFeatures(i.point,{layers:[e]}):[]).length?n=!0:n&&(n=!1,r.call(this,new Nn(t,this,i.originalEvent)))},a=e=>{n&&(n=!1,r.call(this,new Nn(t,this,e.originalEvent)))};return{layer:e,listener:r,delegates:{mousemove:i,mouseout:a}}}{const n=t=>{const n=this.getLayer(e)?this.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(this,t),delete t.features)};return{layer:e,listener:r,delegates:{[t]:n}}}}on(t,e,r){if(void 0===r)return super.on(t,e);const n=this._createDelegatedListener(t,e,r);this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(n);for(const t in n.delegates)this.on(t,n.delegates[t]);return this}once(t,e,r){if(void 0===r)return super.once(t,e);const n=this._createDelegatedListener(t,e,r);for(const t in n.delegates)this.once(t,n.delegates[t]);return this}off(t,e,r){if(void 0===r)return super.off(t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&(n=>{const i=n[t];for(let t=0;tthis._updateStyle(t,e)));const r=this.style&&e.transformStyle?this.style.serialize():void 0;return this.style&&(this.style.setEventedParent(null),this.style._remove(!t)),t?(this.style=new de(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t,e,r):this.style.loadJSON(t,e,r),this):(delete this.style,this)}_lazyInitEmptyStyle(){this.style||(this.style=new de(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())}_diffStyle(t,r){if(\"string\"==typeof t){const n=t,i=this._requestManager.transformRequest(n,\"Style\");e.h(i,new AbortController).then((t=>{this._updateDiff(t.data,r)})).catch((t=>{t&&this.fire(new e.j(t))}))}else\"object\"==typeof t&&this._updateDiff(t,r)}_updateDiff(t,r){try{this.style.setState(t,r)&&this._update(!0)}catch(n){e.w(`Unable to perform style diff: ${n.message||n.error||n}. Rebuilding the style from scratch.`),this._updateStyle(t,r)}}getStyle(){if(this.style)return this.style.serialize()}isStyleLoaded(){return this.style?this.style.loaded():e.w(\"There is no style added to the map.\")}addSource(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)}isSourceLoaded(t){const r=this.style&&this.style.sourceCaches[t];if(void 0!==r)return r.loaded();this.fire(new e.j(new Error(`There is no source with ID '${t}'`)))}setTerrain(t){if(this.style._checkLoaded(),this._terrainDataCallback&&this.style.off(\"data\",this._terrainDataCallback),t){const r=this.style.sourceCaches[t.source];if(!r)throw new Error(`cannot load terrain, because there exists no source with ID: ${t.source}`);null===this.terrain&&r.reload();for(const r in this.style._layers){const n=this.style._layers[r];\"hillshade\"===n.type&&n.source===t.source&&e.w(\"You are using the same source for a hillshade layer and for 3D terrain. Please consider using two separate sources to improve rendering quality.\")}this.terrain=new Di(this.painter,r,t),this.painter.renderToTexture=new Bi(this.painter,this.terrain),this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this.transform.elevation=this.terrain.getElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this._terrainDataCallback=e=>{\"style\"===e.dataType?this.terrain.sourceCache.freeRtt():\"source\"===e.dataType&&e.tile&&(e.sourceId!==t.source||this._elevationFreeze||(this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this.transform.elevation=this.terrain.getElevationForLngLatZoom(this.transform.center,this.transform.tileZoom)),this.terrain.sourceCache.freeRtt(e.tile.tileID))},this.style.on(\"data\",this._terrainDataCallback)}else this.terrain&&this.terrain.sourceCache.destruct(),this.terrain=null,this.painter.renderToTexture&&this.painter.renderToTexture.destruct(),this.painter.renderToTexture=null,this.transform.minElevationForCurrentTile=0,this.transform.elevation=0;return this.fire(new e.k(\"terrain\",{terrain:t})),this}getTerrain(){var t,e;return null!==(e=null===(t=this.terrain)||void 0===t?void 0:t.options)&&void 0!==e?e:null}areTilesLoaded(){const t=this.style&&this.style.sourceCaches;for(const e in t){const r=t[e]._tiles;for(const t in r){const e=r[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}}return!0}removeSource(t){return this.style.removeSource(t),this._update(!0)}getSource(t){return this.style.getSource(t)}addImage(t,r,n={}){const{pixelRatio:i=1,sdf:o=!1,stretchX:s,stretchY:l,content:c,textFitWidth:u,textFitHeight:h}=n;this._lazyInitEmptyStyle();if(!(r instanceof HTMLImageElement||e.b(r))){if(void 0===r.width||void 0===r.height)return this.fire(new e.j(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`\")));{const{width:n,height:a,data:f}=r,p=r;return this.style.addImage(t,{data:new e.R({width:n,height:a},new Uint8Array(f)),pixelRatio:i,stretchX:s,stretchY:l,content:c,textFitWidth:u,textFitHeight:h,sdf:o,version:0,userImage:p}),p.onAdd&&p.onAdd(this,t),this}}{const{width:n,height:f,data:p}=a.getImageData(r);this.style.addImage(t,{data:new e.R({width:n,height:f},p),pixelRatio:i,stretchX:s,stretchY:l,content:c,textFitWidth:u,textFitHeight:h,sdf:o,version:0})}}updateImage(t,r){const n=this.style.getImage(t);if(!n)return this.fire(new e.j(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));const i=r instanceof HTMLImageElement||e.b(r)?a.getImageData(r):r,{width:o,height:s,data:l}=i;if(void 0===o||void 0===s)return this.fire(new e.j(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(o!==n.data.width||s!==n.data.height)return this.fire(new e.j(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));const c=!(r instanceof HTMLImageElement||e.b(r));return n.data.replace(l,c),this.style.updateImage(t,n),this}getImage(t){return this.style.getImage(t)}hasImage(t){return t?!!this.style.getImage(t):(this.fire(new e.j(new Error(\"Missing required image id\"))),!1)}removeImage(t){this.style.removeImage(t)}loadImage(t){return p.getImage(this._requestManager.transformRequest(t,\"Image\"),new AbortController)}listImages(){return this.style.listImages()}addLayer(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)}moveLayer(t,e){return this.style.moveLayer(t,e),this._update(!0)}removeLayer(t){return this.style.removeLayer(t),this._update(!0)}getLayer(t){return this.style.getLayer(t)}getLayersOrder(){return this.style.getLayersOrder()}setLayerZoomRange(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)}setFilter(t,e,r={}){return this.style.setFilter(t,e,r),this._update(!0)}getFilter(t){return this.style.getFilter(t)}setPaintProperty(t,e,r,n={}){return this.style.setPaintProperty(t,e,r,n),this._update(!0)}getPaintProperty(t,e){return this.style.getPaintProperty(t,e)}setLayoutProperty(t,e,r,n={}){return this.style.setLayoutProperty(t,e,r,n),this._update(!0)}getLayoutProperty(t,e){return this.style.getLayoutProperty(t,e)}setGlyphs(t,e={}){return this._lazyInitEmptyStyle(),this.style.setGlyphs(t,e),this._update(!0)}getGlyphs(){return this.style.getGlyphsUrl()}addSprite(t,e,r={}){return this._lazyInitEmptyStyle(),this.style.addSprite(t,e,r,(t=>{t||this._update(!0)})),this}removeSprite(t){return this._lazyInitEmptyStyle(),this.style.removeSprite(t),this._update(!0)}getSprite(){return this.style.getSprite()}setSprite(t,e={}){return this._lazyInitEmptyStyle(),this.style.setSprite(t,e,(t=>{t||this._update(!0)})),this}setLight(t,e={}){return this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)}getLight(){return this.style.getLight()}setSky(t){return this._lazyInitEmptyStyle(),this.style.setSky(t),this._update(!0)}getSky(){return this.style.getSky()}setFeatureState(t,e){return this.style.setFeatureState(t,e),this._update()}removeFeatureState(t,e){return this.style.removeFeatureState(t,e),this._update()}getFeatureState(t){return this.style.getFeatureState(t)}getContainer(){return this._container}getCanvasContainer(){return this._canvasContainer}getCanvas(){return this._canvas}_containerDimensions(){let t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]}_setupContainer(){const t=this._container;t.classList.add(\"maplibregl-map\");const e=this._canvasContainer=o.create(\"div\",\"maplibregl-canvas-container\",t);this._interactive&&e.classList.add(\"maplibregl-interactive\"),this._canvas=o.create(\"canvas\",\"maplibregl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",this._interactive?\"0\":\"-1\"),this._canvas.setAttribute(\"aria-label\",this._getUIString(\"Map.Title\")),this._canvas.setAttribute(\"role\",\"region\");const r=this._containerDimensions(),n=this._getClampedPixelRatio(r[0],r[1]);this._resizeCanvas(r[0],r[1],n);const i=this._controlContainer=o.create(\"div\",\"maplibregl-control-container\",t),a=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((t=>{a[t]=o.create(\"div\",`maplibregl-ctrl-${t} `,i)})),this._container.addEventListener(\"scroll\",this._onMapScroll,!1)}_resizeCanvas(t,e,r){this._canvas.width=Math.floor(r*t),this._canvas.height=Math.floor(r*e),this._canvas.style.width=`${t}px`,this._canvas.style.height=`${e}px`}_setupPainter(){const t={alpha:!0,stencil:!0,depth:!0,failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1};let e=null;this._canvas.addEventListener(\"webglcontextcreationerror\",(r=>{e={requestedAttributes:t},r&&(e.statusMessage=r.statusMessage,e.type=r.type)}),{once:!0});const r=this._canvas.getContext(\"webgl2\",t)||this._canvas.getContext(\"webgl\",t);if(!r){const t=\"Failed to initialize WebGL\";throw e?(e.message=t,new Error(JSON.stringify(e))):new Error(t)}this.painter=new Tn(r,this.transform),s.testSupport(r)}loaded(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()}_update(t){return this.style&&this.style._loaded?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this}_requestRenderFrame(t){return this._update(),this._renderTaskQueue.add(t)}_cancelRenderFrame(t){this._renderTaskQueue.remove(t)}_render(t){const r=this._idleTriggered?this._fadeDuration:0;if(this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(t),this._removed)return;let n=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;const t=this.transform.zoom,i=a.now();this.style.zoomHistory.update(t,i);const o=new e.a9(t,{now:i,fadeDuration:r,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),s=o.crossFadingFactor();1===s&&s===this._crossFadingFactor||(n=!0,this._crossFadingFactor=s),this.style.update(o)}this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this.terrain?(this.terrain.sourceCache.update(this.transform,this.terrain),this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this._elevationFreeze||(this.transform.elevation=this.terrain.getElevationForLngLatZoom(this.transform.center,this.transform.tileZoom))):(this.transform.minElevationForCurrentTile=0,this.transform.elevation=0),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,r,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:r,showPadding:this.showPadding}),this.fire(new e.k(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,e.be.mark(e.bf.load),this.fire(new e.k(\"load\"))),this.style&&(this.style.hasTransitions()||n)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles();const i=this._sourcesDirty||this._styleDirty||this._placementDirty;return i||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new e.k(\"idle\")),!this._loaded||this._fullyLoaded||i||(this._fullyLoaded=!0,e.be.mark(e.bf.fullLoad)),this}redraw(){return this.style&&(this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this._render(0)),this}remove(){var t;this._hash&&this._hash.remove();for(const t of this._controls)t.onRemove(this);this._controls=[],this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),\"undefined\"!=typeof window&&removeEventListener(\"online\",this._onWindowOnline,!1),p.removeThrottleControl(this._imageQueueHandle),null===(t=this._resizeObserver)||void 0===t||t.disconnect();const r=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");(null==r?void 0:r.loseContext)&&r.loseContext(),this._canvas.removeEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.removeEventListener(\"webglcontextlost\",this._contextLost,!1),o.remove(this._canvasContainer),o.remove(this._controlContainer),this._container.classList.remove(\"maplibregl-map\"),e.be.clearMetrics(),this._removed=!0,this.fire(new e.k(\"remove\"))}triggerRepaint(){this.style&&!this._frameRequest&&(this._frameRequest=new AbortController,a.frameAsync(this._frameRequest).then((t=>{e.be.frame(t),this._frameRequest=null,this._render(t)})).catch((()=>{})))}get showTileBoundaries(){return!!this._showTileBoundaries}set showTileBoundaries(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())}get showPadding(){return!!this._showPadding}set showPadding(t){this._showPadding!==t&&(this._showPadding=t,this._update())}get showCollisionBoxes(){return!!this._showCollisionBoxes}set showCollisionBoxes(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())}get showOverdrawInspector(){return!!this._showOverdrawInspector}set showOverdrawInspector(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())}get repaint(){return!!this._repaint}set repaint(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())}get vertices(){return!!this._vertices}set vertices(t){this._vertices=t,this._update()}get version(){return ji}getCameraTargetElevation(){return this.transform.elevation}},t.MapMouseEvent=Nn,t.MapTouchEvent=jn,t.MapWheelEvent=Un,t.Marker=Xi,t.NavigationControl=class{constructor(t){this._updateZoomButtons=()=>{const t=this._map.getZoom(),e=t===this._map.getMaxZoom(),r=t===this._map.getMinZoom();this._zoomInButton.disabled=e,this._zoomOutButton.disabled=r,this._zoomInButton.setAttribute(\"aria-disabled\",e.toString()),this._zoomOutButton.setAttribute(\"aria-disabled\",r.toString())},this._rotateCompassArrow=()=>{const 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},this._setButtonTitle=(t,e)=>{const r=this._map._getUIString(`NavigationControl.${e}`);t.title=r,t.setAttribute(\"aria-label\",r)},this.options=e.e({},qi,t),this._container=o.create(\"div\",\"maplibregl-ctrl 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r.type=\"button\",r.addEventListener(\"click\",e),r}},t.Popup=oa,t.RasterDEMTileSource=Q,t.RasterTileSource=K,t.ScaleControl=class{constructor(t){this._onMove=()=>{ea(this._map,this._container,this.options)},this.setUnit=t=>{this.options.unit=t,ea(this._map,this._container,this.options)},this.options=Object.assign(Object.assign({},ta),t)}getDefaultPosition(){return\"bottom-left\"}onAdd(t){return this._map=t,this._container=o.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-scale\",t.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container}onRemove(){o.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 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"scattermapbox": [ { "marker": { @@ -11194,3888 +9507,9 @@ } }, "text/html": [ - "
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" + " }) }; }); " ] }, "metadata": {}, @@ -15122,7 +9556,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 33, "id": "66ce4e4a-7006-411f-abd0-ee94d7cf99b3", "metadata": {}, "outputs": [], @@ -15140,13 +9574,13 @@ " for val in set(df[col]):\n", " if type(val) == float: # skip NaN values\n", " continue\n", - " values = values.union([x.strip() for x in set(val.split(\",\"))])\n", + " values = values.union([x.strip().lower() for x in set(val.split(\",\"))])\n", " attributes = attributes.union(values)\n", " row_attrs = [set() for _ in range(len(df))] # get the attributes specific to each row\n", " for col in cols:\n", " for i, row in enumerate(df[col]):\n", " if type(row) != float:\n", - " row_attrs[i] = row_attrs[i].union([x.strip() for x in row.split(\",\")])\n", + " row_attrs[i] = row_attrs[i].union([x.strip().lower() for x in row.split(\",\")])\n", " for attr in attributes: # Add attributes rows\n", " df[attr] = list(attr in row_attrs[i] for i in range(len(df[col])))\n", " df=df.copy()\n", @@ -15158,7 +9592,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 34, "id": "fda6aaad-7b1e-4daa-8d28-cd049df9cec2", "metadata": {}, "outputs": [ @@ -15191,19 +9625,19 @@ " location\n", " latitude\n", " longitude\n", - " sweet\n", - " semi-hard\n", + " color_r\n", + " color_g\n", " ...\n", - " floral\n", - " pecan\n", - " nutty\n", - " brown\n", - " cream\n", - " burnt caramel\n", - " chalky\n", - " pale white\n", - " pink and white\n", - " tart\n", + " piquant\n", + " ash coated\n", + " cottage\n", + " cornish\n", + " feta\n", + " parmesan\n", + " full-flavored\n", + " supple\n", + " processed\n", + " pleasant\n", " \n", " \n", " \n", @@ -15217,8 +9651,8 @@ " , Switzerland\n", " 46.798562\n", " 8.231974\n", - " True\n", - " False\n", + " 0.921569\n", + " 0.847059\n", " ...\n", " False\n", " False\n", @@ -15241,15 +9675,15 @@ " Pays Basque, France\n", " 47.686790\n", " 7.392763\n", - " False\n", - " True\n", + " 0.921569\n", + " 0.847059\n", " ...\n", " False\n", " False\n", " False\n", " False\n", " False\n", - " True\n", + " False\n", " False\n", " False\n", " False\n", @@ -15265,8 +9699,8 @@ " , France\n", " 46.603354\n", " 1.888334\n", - " False\n", - " True\n", + " 0.909804\n", + " 0.784314\n", " ...\n", " False\n", " False\n", @@ -15289,8 +9723,8 @@ " Burgundy, France\n", " 47.278087\n", " 4.222486\n", - " False\n", - " False\n", + " 0.972549\n", + " 0.972549\n", " ...\n", " False\n", " False\n", @@ -15313,8 +9747,8 @@ " Savoie, France\n", " 45.494895\n", " 6.384660\n", - " False\n", - " False\n", + " 0.972549\n", + " 0.972549\n", " ...\n", " False\n", " False\n", @@ -15361,8 +9795,8 @@ " Low-laying regions, Sweden\n", " 59.674971\n", " 14.520858\n", - " False\n", - " True\n", + " 0.952941\n", + " 0.843137\n", " ...\n", " False\n", " False\n", @@ -15371,7 +9805,7 @@ " False\n", " False\n", " False\n", - " False\n", + " True\n", " False\n", " False\n", " \n", @@ -15385,11 +9819,11 @@ " South Australia, Australia\n", " -30.534367\n", " 135.630121\n", - " False\n", - " False\n", + " 0.972549\n", + " 0.972549\n", " ...\n", " False\n", - " False\n", + " True\n", " False\n", " False\n", " False\n", @@ -15409,10 +9843,17 @@ " Swaledale, North Yorkshire, England\n", " 54.382993\n", " -1.984136\n", - " True\n", - " False\n", + " 0.921569\n", + " 0.847059\n", " ...\n", - " True\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", " False\n", " False\n", " False\n", @@ -15433,19 +9874,19 @@ " , Switzerland\n", " 46.798562\n", " 8.231974\n", - " True\n", - " True\n", + " 0.000000\n", + " 0.000000\n", " ...\n", " False\n", " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", " True\n", " False\n", " False\n", - " False\n", - " False\n", - " False\n", - " False\n", - " False\n", " \n", " \n", " 1186\n", @@ -15457,12 +9898,15 @@ " , United States\n", " 39.783730\n", " -100.445882\n", - " True\n", - " False\n", + " 0.952941\n", + " 0.843137\n", " ...\n", " False\n", " False\n", - " True\n", + " False\n", + " False\n", + " False\n", + " False\n", " False\n", " False\n", " False\n", @@ -15473,7 +9917,7 @@ " \n", " \n", "\n", - "

1140 rows × 172 columns

\n", + "

1140 rows × 174 columns

\n", "" ], "text/plain": [ @@ -15503,36 +9947,36 @@ "1185 False , Switzerland 46.798562 8.231974 \n", "1186 False , United States 39.783730 -100.445882 \n", "\n", - " sweet semi-hard ... floral pecan nutty brown cream \\\n", - "0 True False ... False False False False False \n", - "1 False True ... False False False False False \n", - "2 False True ... False False False False False \n", - "3 False False ... False False False False False \n", - "4 False False ... False False True False False \n", - "... ... ... ... ... ... ... ... ... \n", - "1182 False True ... False False False False False \n", - "1183 False False ... False False False False False \n", - "1184 True False ... True False False False False \n", - "1185 True True ... False False True False False \n", - "1186 True False ... False False True False False \n", + " color_r color_g ... piquant ash coated cottage cornish feta \\\n", + "0 0.921569 0.847059 ... False False False False False \n", + "1 0.921569 0.847059 ... False False False False False \n", + "2 0.909804 0.784314 ... False False False False False \n", + "3 0.972549 0.972549 ... False False False False False \n", + "4 0.972549 0.972549 ... False False False False False \n", + "... ... ... ... ... ... ... ... ... \n", + "1182 0.952941 0.843137 ... False False False False False \n", + "1183 0.972549 0.972549 ... False True False False False \n", + "1184 0.921569 0.847059 ... False False False False False \n", + "1185 0.000000 0.000000 ... False False False False False \n", + "1186 0.952941 0.843137 ... False False False False False \n", "\n", - " burnt caramel chalky pale white pink and white tart \n", - "0 False False False False False \n", - "1 True False False False False \n", - "2 False False False False False \n", - "3 False False False False False \n", - "4 False False False False False \n", - "... ... ... ... ... ... \n", - "1182 False False False False False \n", - "1183 False False False False False \n", - "1184 False False False False False \n", - "1185 False False False False False \n", - "1186 False False False False False \n", + " parmesan full-flavored supple processed pleasant \n", + "0 False False False False False \n", + "1 False False False False False \n", + "2 False False False False False \n", + "3 False False False False False \n", + "4 False False False False False \n", + "... ... ... ... ... ... \n", + "1182 False False True False False \n", + "1183 False False False False False \n", + "1184 False False False False False \n", + "1185 False False True False False \n", + "1186 False False False True False \n", "\n", - "[1140 rows x 172 columns]" + "[1140 rows x 174 columns]" ] }, - "execution_count": 13, + "execution_count": 34, "metadata": {}, "output_type": "execute_result" } @@ -15552,7 +9996,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 35, "id": "b8073de1-eecb-4c5e-8636-a4c76cace706", "metadata": {}, "outputs": [], @@ -15587,7 +10031,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 36, "id": "471728e0-5543-4afd-bf54-d21bd49dda75", "metadata": {}, "outputs": [], @@ -15597,7 +10041,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 37, "id": "ea474256-3974-47a8-b8c8-ee252236a6c8", "metadata": {}, "outputs": [ @@ -15633,16 +10077,16 @@ " color_r\n", " color_g\n", " ...\n", - " floral\n", - " pecan\n", - " nutty\n", - " brown\n", - " cream\n", - " burnt caramel\n", - " chalky\n", - " pale white\n", - " pink and white\n", - " tart\n", + " piquant\n", + " ash coated\n", + " cottage\n", + " cornish\n", + " feta\n", + " parmesan\n", + " full-flavored\n", + " supple\n", + " processed\n", + " pleasant\n", " \n", " \n", " \n", @@ -15688,7 +10132,7 @@ " False\n", " False\n", " False\n", - " True\n", + " False\n", " False\n", " False\n", " False\n", @@ -15810,7 +10254,7 @@ " False\n", " False\n", " False\n", - " False\n", + " True\n", " False\n", " False\n", " \n", @@ -15828,7 +10272,7 @@ " 0.972549\n", " ...\n", " False\n", - " False\n", + " True\n", " False\n", " False\n", " False\n", @@ -15851,7 +10295,14 @@ " 0.921569\n", " 0.847059\n", " ...\n", - " True\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", " False\n", " False\n", " False\n", @@ -15877,14 +10328,14 @@ " ...\n", " False\n", " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", " True\n", " False\n", " False\n", - " False\n", - " False\n", - " False\n", - " False\n", - " False\n", " \n", " \n", " 1186\n", @@ -15901,7 +10352,10 @@ " ...\n", " False\n", " False\n", - " True\n", + " False\n", + " False\n", + " False\n", + " False\n", " False\n", " False\n", " False\n", @@ -15912,7 +10366,7 @@ " \n", " \n", "\n", - "

1140 rows × 175 columns

\n", + "

1140 rows × 174 columns

\n", "" ], "text/plain": [ @@ -15942,36 +10396,36 @@ "1185 False , Switzerland 46.798562 8.231974 \n", "1186 False , United States 39.783730 -100.445882 \n", "\n", - " color_r color_g ... floral pecan nutty brown cream \\\n", - "0 0.921569 0.847059 ... False False False False False \n", - "1 0.921569 0.847059 ... False False False False False \n", - "2 0.909804 0.784314 ... False False False False False \n", - "3 0.972549 0.972549 ... False False False False False \n", - "4 0.972549 0.972549 ... False False True False False \n", - "... ... ... ... ... ... ... ... ... \n", - "1182 0.952941 0.843137 ... False False False False False \n", - "1183 0.972549 0.972549 ... False False False False False \n", - "1184 0.921569 0.847059 ... True False False False False \n", - "1185 0.000000 0.000000 ... False False True False False \n", - "1186 0.952941 0.843137 ... False False True False False \n", + " color_r color_g ... piquant ash coated cottage cornish feta \\\n", + "0 0.921569 0.847059 ... False False False False False \n", + "1 0.921569 0.847059 ... False False False False False \n", + "2 0.909804 0.784314 ... False False False False False \n", + "3 0.972549 0.972549 ... False False False False False \n", + "4 0.972549 0.972549 ... False False False False False \n", + "... ... ... ... ... ... ... ... ... \n", + "1182 0.952941 0.843137 ... False False False False False \n", + "1183 0.972549 0.972549 ... False True False False False \n", + "1184 0.921569 0.847059 ... False False False False False \n", + "1185 0.000000 0.000000 ... False False False False False \n", + "1186 0.952941 0.843137 ... False False False False False \n", "\n", - " burnt caramel chalky pale white pink and white tart \n", - "0 False False False False False \n", - "1 True False False False False \n", - "2 False False False False False \n", - "3 False False False False False \n", - "4 False False False False False \n", - "... ... ... ... ... ... \n", - "1182 False False False False False \n", - "1183 False False False False False \n", - "1184 False False False False False \n", - "1185 False False False False False \n", - "1186 False False False False False \n", + " parmesan full-flavored supple processed pleasant \n", + "0 False False False False False \n", + "1 False False False False False \n", + "2 False False False False False \n", + "3 False False False False False \n", + "4 False False False False False \n", + "... ... ... ... ... ... \n", + "1182 False False True False False \n", + "1183 False False False False False \n", + "1184 False False False False False \n", + "1185 False False True False False \n", + "1186 False False False True False \n", "\n", - "[1140 rows x 175 columns]" + "[1140 rows x 174 columns]" ] }, - "execution_count": 16, + "execution_count": 37, "metadata": {}, "output_type": "execute_result" } @@ -15991,7 +10445,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 38, "id": "24e7ff6e-c308-4cc8-aeac-eeb372f4c479", "metadata": {}, "outputs": [ @@ -16027,16 +10481,16 @@ " color_r\n", " color_g\n", " ...\n", - " floral\n", - " pecan\n", - " nutty\n", - " brown\n", - " cream\n", - " burnt caramel\n", - " chalky\n", - " pale white\n", - " pink and white\n", - " tart\n", + " piquant\n", + " ash coated\n", + " cottage\n", + " cornish\n", + " feta\n", + " parmesan\n", + " full-flavored\n", + " supple\n", + " processed\n", + " pleasant\n", " \n", " \n", " \n", @@ -16082,7 +10536,7 @@ " False\n", " False\n", " False\n", - " True\n", + " False\n", " False\n", " False\n", " False\n", @@ -16204,7 +10658,7 @@ " False\n", " False\n", " False\n", - " False\n", + " True\n", " False\n", " False\n", " \n", @@ -16222,7 +10676,7 @@ " 0.972549\n", " ...\n", " False\n", - " False\n", + " True\n", " False\n", " False\n", " False\n", @@ -16245,7 +10699,14 @@ " 0.921569\n", " 0.847059\n", " ...\n", - " True\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", " False\n", " False\n", " False\n", @@ -16271,14 +10732,14 @@ " ...\n", " False\n", " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", " True\n", " False\n", " False\n", - " False\n", - " False\n", - " False\n", - " False\n", - " False\n", " \n", " \n", " 1186\n", @@ -16295,7 +10756,10 @@ " ...\n", " False\n", " False\n", - " True\n", + " False\n", + " False\n", + " False\n", + " False\n", " False\n", " False\n", " False\n", @@ -16306,7 +10770,7 @@ " \n", " \n", "\n", - "

1140 rows × 175 columns

\n", + "

1140 rows × 174 columns

\n", "" ], "text/plain": [ @@ -16336,36 +10800,36 @@ "1185 False , Switzerland 46.798562 8.231974 \n", "1186 False , United States 39.783730 -100.445882 \n", "\n", - " color_r color_g ... floral pecan nutty brown cream \\\n", - "0 0.921569 0.847059 ... False False False False False \n", - "1 0.921569 0.847059 ... False False False False False \n", - "2 0.909804 0.784314 ... False False False False False \n", - "3 0.972549 0.972549 ... False False False False False \n", - "4 0.972549 0.972549 ... False False True False False \n", - "... ... ... ... ... ... ... ... ... \n", - "1182 0.952941 0.843137 ... False False False False False \n", - "1183 0.972549 0.972549 ... False False False False False \n", - "1184 0.921569 0.847059 ... True False False False False \n", - "1185 0.000000 0.000000 ... False False True False False \n", - "1186 0.952941 0.843137 ... False False True False False \n", + " color_r color_g ... piquant ash coated cottage cornish feta \\\n", + "0 0.921569 0.847059 ... False False False False False \n", + "1 0.921569 0.847059 ... False False False False False \n", + "2 0.909804 0.784314 ... False False False False False \n", + "3 0.972549 0.972549 ... False False False False False \n", + "4 0.972549 0.972549 ... False False False False False \n", + "... ... ... ... ... ... ... ... ... \n", + "1182 0.952941 0.843137 ... False False False False False \n", + "1183 0.972549 0.972549 ... False True False False False \n", + "1184 0.921569 0.847059 ... False False False False False \n", + "1185 0.000000 0.000000 ... False False False False False \n", + "1186 0.952941 0.843137 ... False False False False False \n", "\n", - " burnt caramel chalky pale white pink and white tart \n", - "0 False False False False False \n", - "1 True False False False False \n", - "2 False False False False False \n", - "3 False False False False False \n", - "4 False False False False False \n", - "... ... ... ... ... ... \n", - "1182 False False False False False \n", - "1183 False False False False False \n", - "1184 False False False False False \n", - "1185 False False False False False \n", - "1186 False False False False False \n", + " parmesan full-flavored supple processed pleasant \n", + "0 False False False False False \n", + "1 False False False False False \n", + "2 False False False False False \n", + "3 False False False False False \n", + "4 False False False False False \n", + "... ... ... ... ... ... \n", + "1182 False False True False False \n", + "1183 False False False False False \n", + "1184 False False False False False \n", + "1185 False False True False False \n", + "1186 False False False True False \n", "\n", - "[1140 rows x 175 columns]" + "[1140 rows x 174 columns]" ] }, - "execution_count": 17, + "execution_count": 38, "metadata": {}, "output_type": "execute_result" } @@ -16377,13 +10841,13 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 39, "id": "a8d0848f-b844-4a08-976d-4d1370070f73", "metadata": {}, "outputs": [ { "data": { - "image/png": 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dsH7b9txYTk4Oeg0djuUL5mPEoIEwNBR/5UhJScHKdeux9I8/kJz86Y+ULkWKIDRcvHCdOpVwd0eLJo1x4crV3Fh6ejra9uyNzav+RIfWraS2e/7qFabNX4CzFy8BABzs7REdE6NQDT/PmokHj5/gyo0bubHU1FSMnTQZh44fx5TvvkPzxvlPrvL1e4cjp07i8LETePDkCQCgX88eCtVEmuHr54dfV63G3F+WoEfnTujRuRNqe3nBIJ+HBGdkZODspctY8dcaXLt1S7TdzMwMfyxerK6ypapUvjx++GYsfl21WhBfuGw5wsLD8dOsmXCwtxdsS09Px6adOzF59lxkZAgnFzaoWwdD+vVVe90kNnzgAGzdswd3HzzMjWVkZKBzvwH47eeFGDlokGgR0eiYGMxZ9As2bN8hyjd5/DiUL1tG7XWrkomJCf5YsgSd+/UXxM9evIQ2PXthw++/S/2dzl2+jBHjJ4jey+zt7LB47hy11izN0vnzcebiJcT+ZwHOgKAgNGrXAZtX/4lWTZuK2rx++xajf5iIW3eFC1bq6enhz2VLuICsFhSW/lgYFIZrimN84VEY+qOiPoaGoXX3HggJDRXELSzMcXzfHtTyqqGlyuTHMf6TwjA28fsQqdKMH77H/sOH8SEgMDcWFx+P5p27Yt2K39CzS2fo6+sL2gSFhOCHGTNx9NRpUb7Fc+eI+p+uc3J0xKLZszB+6jRBfOvuPYiJjcUfSxbDtVgxwbbs7GwcPHoMYyZOQmJSkmBbmZIlMe37CWqv+3Orli5B/TbtkJ7+7812j54+RZMOnbBl9Sqp71n3Hz3G8PHf4ZWvryBuYmKCP5dq9t96iIiIiIiIiIiIiIiIiIhULSU1FQNnzIUkLU0Qt7Iwx+qZU9GzZXPx38TDwjH5t5U4fuW6IL739Fk0qVkDQzp3VHvdqrbp8BEcPH9RFO/UtBF+m/wD3IoWEcSzs7Nx8MIljP9lGRKT/10kMFkiwcAZc3FvzzaYmpiovW5NKlm8GEKjopCaJl7gtjBhX8ifJvrCc793mPr7KlG8fAkPbJo/GzUrVxRtu//iJUbNX4Q3/gGC+KRff0fdalVQsVRJtdWrajk5ORi/eDniP5tzAwAdGjXA0onfobSbq9S2QWHhmLdmA/aePiuIxyUm4bslv+LChr/UUrO6hEZFYdSCRcjOzhbEizo6YOO8WWhZt7aozesP/vh20VLc9nkmiC/buhONvWqgeZ1aaq1Z02ytLGFuZoaPEZHaLkVtXr3/gEUbt4riJsbGmDd2JMb06g5zU1OpbS/dvY8JS3/Du6BgQfz8nXvYfuwkhnYpeJ9bvsTCzAyOdrYI+Bia/84FmL6+PupUrYz2jRqgkVd1eFesIPV+6f968OIV5v61DpfvPxTE09LTMWrBIjz+excszc3VWbZGmRgbo7izE94Hh2i7FK0q5uyE5BSJ1PfTwqh+9WoY0qkDWtarg2JOjl/c7+YTH0xfuRoPXrwSxANDwzBw5lxc2bwOenp6CtfhVrQI3hyTvuA4ERERERERERERERERERGRLilRqiTCPoYiNTVV26Wo1Zb1m3D4b/Hf8jt26YSlf/wG18/mI2ZnZ+Pw34fww9jxSExMzI0nJydjaN9BuPn4Lky/MF9LV6WkpGBo30GQSCSCuJWVFVauW43uvXuI5swHBwVj2veTceLocUF8/+69aNS0MQYNH6L2ulWNfSF/mhgXzMzM0KJNK7Ro3RINmzRCuQrl89w/MzMTp4+fxJxps/Dh3XvBtsCAQEwePxG7D+1TW73q8vPchbhz87YoPmz0CMz9eT7sHRwE8fT0dGzbuBkzJ08XrBUaER6BkQOH4eSls0rNe9KmUmVKY+CwwejQuSMqVBLPk/8f/w/++GXeT9i/e68gnpaWhsG9+uPhax84Fynyhda6zdjYGO07d0S/Qf3RoEkjWFlZSd0vKysLh/cfxKwp0xEeJlz/9/yZc1g07ycsWPyTJkrWGH19fZQtXw5vXr1W+7ESExPRs0M3+Pm+FcSNjY0xbuIEjPp2NIq7Sr+PAfj0/nDhzHkc3Pc3Tn72/llQ/DD2O7x76yeI6enpYers6Zjw40RYWloKtiUlJeGP5Suw7OclgvibV6/x4/iJWL99k9prVrUXz55j5uRponi5CuWxbttGeNeqKdr28N59jB02Gr6v3wjiU7+fjDr16+Y5thVETs7OyMnJQVRk4b2H47+qelbFoOFD0bp9W5TM496sF8+eY+60Wbhw9rwgHhcbi37deuP+i8cF9rOjhYUFuvXqjl79+6Jug3pf/D1SU1Oxc+t2LJw5DwkJCYJtO7dsRw1vL4wYO0quY/O7DBERERERERERERERERERFVaSlDRMH7IKaRLh2rYWVqaY9ecItOpeR/Q38bDgaCyfsgNXTgjXFDy17yZqNqqELoObqL1uVTu05SLOHbojijft6I0pywejqKtwPmV2djbOH76LRRM2Iznx3/mukuQ0TB+8Cntv/wITU+PP0+k09oVP2Bf+5eRih04DGqFF19ooV9Vd9Pr/T3REPLatOI69a84iJycnN56Tk4OF4zahQvUSKFPJTVNlqwz7AscFWZhZmMDO0RofA76OuYxfUrykM6JCY5GWmpH/ziqy8sBk1GxUSWPH0xW/fL8Fge/CBDE9PT2MnNYVg7/vAHNL4dzKlKRUbF95ApuWHhHEP7z5iKWTt2PhhrHqLlnl3r4Iworpu0XxEuWKYeGGMajsXVq07fmDd5g3Zj38fT8K4sun7IBn3XIoVaG42upVF/YF9gVZ2DtZIycHiI1KyH9nIiIiIiIiKrTyfpoYEREREREVaEP69cOazVsEsbCICMHPTRo0QEkPD4Xyz5w8CbsOHEByckpuLCUlBeOmTMXPv/6Glk2boHTJkjA1MUFkdDRevfHF5Rs3BIv0mJubY81vv6LbwEEK1aCMJfPmou6NNsjMzMyNRUVHo0v/AahSsSKaNWqIokWKIDMzE+EREbhx5w6evniZu6++vj62/rUanfv1V+j4hoaG2L9lE5p27IxXvr6CbecvX8H5y1fg5OiI+rVroVSJErC3s4OhgQHiExMRFxeHN37v4PP8OWJiYxU7AaR1QSEhWLl2HVauXQczMzNUqVgRVSpWgIO9PWysrWFsZITEpCTExsXhxes3ePz0KeITpP+B18zMDId3bke5MuI/hqvbTzNn4MadO7hz/4EgvmH7Duw6cBAdWrVCmdKlYGJsDP/AQJy9eAmh4eGiPE6Ojti1XrkHNWvL3oOHMH6qeGHA/DiUKpPn9qN7dqFh3bqKliUXfX197N6wHnVatkZ0TExuPCMjAxOmzcDSlX+idfNmKOHuDklqKvzev8ep8xeQkpIiytWwbl3MnzZVI3WrWvtWLTHx22/w+5q1gvjNO3dRpX4DtGzaBFUqVoSjgwOCQ0Jw8+5dwXvD/xgYGGDbmr9QVAuLzxZzKYotq/5EjyFDkZ2dnRv/GBaGdj17o3rVKqhXqxZcixdHZFQUnr18iUvXrgsm+f7PlAnfoXWzZposX2VqNG6CwOCQL25PTUsTxZb9uQp/rt/wxTYN6tTBsb3iCUnqUhj6o7ICg4NRo3HTPPdJSk4WxboMGABDgy//8/fU7ydg2vcTZKqhMFxTHOM/GT9lKvYeOvzF7ZlZmaLYzbt3832/jn7vl+d2VSoM/VFRm3buxIeAQFE8PT0DnfsNUDr/6mVL0a9nD6XzyIpjfOEZm/h9qHB8H9IFFhYW2LNxI5p17iJ4AEtCYiL6jxqNeYuXoGnDBvBwd0dcfDxe+77FmYsXBf+u9T99unXDyMGa/7c2VRg7fBgu37iBQ8eEC3YfPXUap85fQLuWLVC+bFlYW1khIDAIV27cgN+HD6I85ubm2Lt5E8zMzDRVeq7qVati+cIF+H76DEH8la8v6rVug/p1asPb0xNFixRBWHg4Hjx5gtv37kvN9fuin1GlYuF6cAARERERERERERERERERfX2Wb92J95/N6bS1ssTptX+ievlyUtu4FS2CfUsX4Zufl2DH8VOCbbP+XItOTRrD3sZabTWrWlRcHOb+tV4UH9ypPdbOni51QV99fX30bt0S5Tzc0e6bCYhLTMrd9jYwCCt27MHMUcPUWrc6uRZxhlfFCqhZqSK8KlWAV8XysLO2RvnOPREYGpZ/ggKKfUFMW33hh2UrkJYuXFC5evlyOPnXyi+OL7UqV8LFjWvQcfxEPHnz771gqWnpmLj8d5xZ+6fa6lW187fv4rbPM1F8ZPcuWDVjSp5t3YoWwZaFc1DKtRgWbdwq2HbzsQ/O376LVvXqqLRedZr151rExAvv13J3KYpz61bBo5iL1DYVSpbAydUr0WfKDJy/cy83npOTg4nLf8eDfTtgZFgwl3OxsjCHZ7ly8KpYHl6VKsC7YgWUdnPFoo1bRK93YfLLpm3IzMoSxIyNjHDsz1/R2Nsrz7bN69TCzR2b0Gr0ODx7+06wbeH6TRjSuUOBnB9qamKMqmXLwLtSRXhX/DQ+VyhZArtPnsHohb9ouzy1GdChLSYO6o8iDvZytatZuSJOrfkDs1atwYodewTbgsMj8Ne+A5g2fIgqS9UYI0NDVC5d6tO4ULECvCpVQJUypXHb5ynajJXt3pzCoKiDA2pULJ97HrwrVUQRB3u0HjMe1x890XZ5amNkaIghnTvgu359UK6Eu0xtGlT3xKVNazH2p8XYc+qsYNu9Zy+w++QZDOzYTh3lEhERERERERERERERERERaY2rmyuqe3vBq5Y3anh7oUZNL9jZ2aFqqQoIlLKOYmERHRWFBbPmieIDhw7Cqo1rvzg3tmffXihbviw6tWyP+Li43G1+vm/xx/IVmDZnpjrLVrkVS5bjw7v3gpiNrS2OXzgFzxrVpbZxdXPFzoN78d2ob7Br207BtrnTZ6ND106wt5dvHpM2sS+IaWNcWLJiOarV8ISFhYXMbQwNDdGpWxe0aNMKvTt1x/Ur1wTbTxw5hjs3b6Nug3qqLldtfF+/weoVf4ji0+fOxIx5s6W2MTY2xuhx36B02bLo07kHMjIycrfdvHYD+3buQb/Byq9/q0nNWrbA5BlT0KhpY5n2L1GyBDbs2Iw69eti0rjvBdsSEhIwf8YcrNny5fXbdZGdvT2+m/w9ho4cBgdHx3z3NzAwQK/+fdC0ZTN0bdMJz58K59yvWbkKg4cPQemyea+nqqv09PRQsnSp3DGphrcXqnvXgKWlJWwMzNV+/InfTBCd09Jly2D/0YMo+4V7zP7LwsICXXp0RZceXREUGATrAnRvGQBcuXgZh/YfEMVXb1yLgcMGS21jaWmJWQvmwqNECYwbOVawbd+uPRg0fAgaNmmklnrV5cfvJiLts2dEVKvhiaPnTn7xs4937Vo4e+0CurTpiKePfXLjqamp+HHCJJy4cFqtNauTnb09PGtUh1ctr/+/Nr3h5u6Gb4aNxp4du7Rdntro6emha8/u+H7KRNTI556N/6lctQoOnjyChbPnYcWSXwXbAv0DsHLZb5g+d5Y6ylWb4q7FMXH6j+g7sD+srKzy3d/U1BSjvhmD5q1aolOLtgj57L7dn+cuRLfePeT6HsHvMkREREREREREREREREREVFht/e0Ygt9HCGJWtuZYd2ImKniWkNqmqKsDlu/+Hj+N24Rju4TzKf+YsxdNO3rDxt5SXSWrXGxUIlbP/1sU7zywMeb8NfKL83vb9KwHj7IuGNvxFyTG/fss+QC/MGxfeRKjp3dTa92qxr7AvvA/lWuWxsgpXdCgTXUYGIh/5885ONtg8pKBqNW4EqYM/AOZGf+uW5uVmYXlU3Zi/cmCNd+dfeETjgtCJqZGKFvFHZW9S6FijZKo5FUKJcsXw4k9N7Dgm4I1f1wZRVwdUOn/f/9KXiVRqUYpWNtZoGPlHxAaGKXt8gq1e1ee4+zBO6L43L9GovOgJlLbmFua4pvZPVHcwwkLvt0o2HZy7w10GdwE3g0rqqVedVk6aRvS0zIEsfKeHlh7bMYXx5cqNUtj87k5+LbLErzxCciNp6VmYOnk7QXufYp94RP2BSEbO0tUqF4id2yu6FUSLm6OmDdmPU7sua7t8oiIiIiIiEiLCuYTAomIiIiISCbe1T1RtVJFPHv56ov7DO3fV+H8xV1csH3NX+g9bASys7MF20LDw7Fzv3iCzX+ZmJhg76aNqFyhvMI1KKN61ar4edZMTF+wULTt+atXeP7qy+dNT08Pa35djvatWipVg4O9PW6ePY1h48bj6CnxImCRUVFS41T4SCQS3H/0CPcfPZK7bXEXF2xb8xeaNWqohsryZ2RkhON796BN95549PSpYFtKSgoOHD2abw5HBwecPrAfbsWLq6tMtUrPyEB8QoLc7fJrk5mZled2VSvh7o7TB/5Gu169ER0TI9gWEhqKrbv3fKHlv2pWr44ju3fC0LDg/rPTsgXzERcfL/p9c3JycP7yFZy/fCXP9gYGBtj4x+9Kv0coo1O7tlj/+wqMnTQZWVnCfvTk2XM8efY83xwjBw3CotkFa1HC/0pITJL7ukxLSxMt8vlfScnJypYlt8LQH5WRnZ2t0PianJyS5/bU1FS58hWGa4pjPJAikcjdn7KyshTqg+pUGPqjInJycqTGMzIyEJ+RIXWbPNJVkENeX/sYDxSOsYnfhwrP9yFdUMurBg5u34ZeQ4dBIpEItr19/x5v37//Qst/tW/VClv/WqWuEjVix9o1SEpOxtmLlwTxjIwMHDt9Bjh9Js/25ubmOLRjG2pUq6rOMvM0buQIRMfEYOGy5aJtt+7ew6279/LNsXDmDIweOkQd5RERERERERERERERERERaUxsQgJW7xPfW7L0h+9QvXy5PNvq6+vjj2mTcdvnGd4GBuXGo+PjsWb/AcwePULl9arLqj37EZuQKIiVdXfDH9MmS13A9r+qly+HJT+Mx9iflgjif+zeh3H9esHGsuAs4Dpn9Ah4VaoA70oV4GRnp+1ytIJ94RNt94WLd+/j5mMfQczE2Bhbf5oLexvrPNs62Npg609zUXfgcKSlp+fGrz54hGsPH6Gxt5daala1I5euimIlirlgxZSJMueYPXoEzt+5h3vPXgjiRy9fRat6dZSuURN8/QOx/+x5UXz9nBnwKOaSZ1szUxNsWjAHXr0HIjo+/t+cAYHYd/ocBnVqr/J61aVtw3poWssL3pUqopyHe77jUWGTlp6OMzdvieKTBvWX+Zq2sbTEtp/mofaAYYI53qGRUbj77AXqVquisnrVqZ5nNayZNQ1eFSugcumSBfbeAWVULVtGqfaLvvsWD168wrWHjwXxA+cuYtrwgjMnsGKpkvh9ykR4V66IamXLwMTYWNslacW4vr3g4VIU3pUqwrWIs7bL0bj+7dtg9qjhKOkq/zx3I0NDrJ8zA35BwaLPCmv2H8DAju1UVSYREREREREREREREREREZHWzJw/GzW8veBVyxuOTk7aLkcr/lq5CnGxsYJYmXJl8dtff+Q7F82zRnUsWr4Y40d9I4ivXvEnxk4YBxsbG5XXqw6xsbFY+8dfovgvvy6BZ43qebbV19fHb3/9gTu37sDP921uPCY6GutXrcGMebNVXa7asC98ou1xoV7D+gq3NTc3x44De+BVvhpiP1sf9ND+A6jboJ6y5WnMsp+XIOOzdWYbNmmE6XPzX4u3ReuWmDhtMpb9LJy3v+SnX9B7QF8YGBiotFZ1qFO/LmbOn4MGjRV7bsWIsaPw4f0HrPptpSC+f/c+LPptKewKwP0gFpYWmDZnBsZP+h7W1nnfIyCNk7MzDpw4jLpVayL+P3PF09PTsWX9Jiz6dUkerXWLlbUV5v2yEDW8vVCjphdsbW21Usfxf47iwN79gliJUiVx/MIpFHd1lTufm7ubqkrTmF/m/ySK9Rs0AAOHDc637cBhg3H9yjXs2yVcq3nxgp9x8tJZldWobpfOX8St6zcFMRMTE2zauRX29vZ5trV3cMCmnVvRyLue4FkS1y9fxfUr19CoaWO11KwOfQb0w/Axo1CjphdKlS6l7XI0rk2HdhgychiqelaTu62enh7mLVqId2/f4eihfwTbNq7ZgKmzZxSIe2IcHB2weMUyjBg7CiYmJnK3L12mNPYdPYhmdRohMzMzNx4THY0De/ZjzPhv8mj9L36XISIiIiIiIiIiIiIiIiKiwiohNhl714jn1Uz6ZQAqeJbIs62+vj6m/z4UPnd8EeAXlhuPj0nCvnVnMWZmD1WXqzZ7/jqNhNhkQcyjTFFM/31ovnMsKniWwMRFA7Bw3EZBfNeqU+j3TRtY2ZirvF51YF/45GvvC6UrueK3vRPRtKO3Qu0bt/fC5CUDsXTydkH8wbWXePsiCGUrF5w5jV97XwA4LvyPZ91ymL1qBCp5lULpSq4wNNT9efLqMGZWD1SqURKVvUrBzkn+eeekGut+PiSKdejXEJ0HNcm3bedBTfDg+iuc3HtDEF+/6BA2nC44cxnvXHqGx7feCGLGJkZYtOlb2Njn/fwJWwcrLNr0Lfo3nI30tH/vpXlw7SUeXH+Jmo0qqaVmdWBfYF/4n/Z9G6LnyJaoWKMk3EoV0XY5REREREREpKN0/45iIiIiIiJSypB+/b64zcrSEt07dlQqf9cOHfD31s2wtrKSq52HmxvO/3MIHVq3Uur4yvrxu/H47eef5Foc0d7ODoe2b8PIwYNUUoO1lRUObt+GNb8uh7sCi8n9l6WFBQb37QPPKpVVUhuph5ODo0rymJiYYPyokXh+6yaaNVJs0UxVsbO1xZUTxzC0/5fHnC+pX6c27l44h+pVqyp07MioKFGsaqWC88d9XePlWQ13zp9F3Vo15Wqnp6eH4QMG4PLxo7BVcAFkXXkt9fT0sPGPlfj1p4UwN5dvUqdb8eI4feBvDO7bV03VyW7YgP44+fc+uBWX74Hq5ubmWLHoZ6z7/Tfo6enJfdyIyEip8SoVK8qdi7TbH6Vdk0WcnVDkK32IgLauKVXiGF94cIwvHDjGf6LNsUlV+H2IVKlti+a4dvIEKpUvL1c7Q0NDTJ/4A/7ZtQPGxsZyHzcrKwsxnz0kBwCqVdZ8fzIxMcGxPbsx9fsJMDQ0lKtt5QoVcP3UCbRq2lQ9xclh7tQp2LV+HezlfCCJvZ0d9mzcgJmTJqqpMiIiIiIiIiIiIiIiIiIizdl29ASSUiSCWM3KFTG4cweZ2puamGDZpAmi+PoD/yDjPw+i1mXpGRnYdPioKL5s0gSYyvgw7iGdO6JmZeE8rYTkZGw/dlIlNWrKzFHD0LZBPTjJ+bf0woJ94V/a7gt/7Tsgin3bpycqlCwhU/sKJUvg2z49RfFVe/5WtjSNuf30mSg2onsXGMk5X0faebjtI86tq9b8fRDZ2dmCWPeWzdC0lmwLsDvb22HOmBGi+Kq9+1VSn6b0aNkcAzq0Q4WSJfJdXL0wevrWT/R5RU9PD2N6dZcrT6XSpdBMSt+57fNUqfo0qUWdWhjWtRM8y5eVe/4e/WvKUPG9xy/evUdsQoIWqlFMzcoVMbZ3D9SqXAkmCsxLLSwm9O+DLs2awLWIs7ZL0YrNC+agpKt89638l6GhIRZ/P04Uf/zaF0Fh4cqURkREREREREREREREREREpBOmzZmJ1u3bwvErXac1PT0dW9ZvFsUX/7YUpqamMuUYNHwIvGsL1yFMSEjArq07VFKjJuzcsh1JSUmCmHftmhg4bLBM7U1NTbH4t6Wi+MY1G5CRkSGlhe5hX/hXQR8X7O3tMWz0cFH81vWbWqhGMeFhYfjnwCFR/LfVK2Vei3fKrOko/tncKf/3H3Dq2AmV1Khuc39egAaNlXtuxbQ5M2D72Xz/zMxMnDt5Rqm8muJV0xsz58+BtbW1wjmKFS+O7378QRQ/WUD6wf/Y29tj0rQf0axlc9ja2mqlhvT0dMyaMkMQ09PTw6adW1FcyefzFBSPHjzE3Vt3BDEzMzP88tsSmXMsXrEUZmZmgtiNq9fh8/iJKkrUiHV//iWKjfnuW5SvWEGm9uUrVsCY774VxdesXKV0bZo0eMRQ9OjTE6VKl9J2KVrx66rfUdWzmlI5Fv26RPScsajISNF1pqvadmyPb78fDxMZ7ymUplp1T/QfMlAUl+d9it9liIiIiIiIiIiIiIiIiIiosDqy4wpSklIFsco1S6PzoCYytTcxNcakJeK/y/+94QIyMgrGmtgZ6Zk4tPmSKD5pyUCYmMq2vmCXwU1QuWZpQSw5QYJjO6+qpEZNYF9gXwCAwd93QNOOsq01/CU9RrSAR1kXUfzqyYdK5dUk9oVPOC58Urd5VXQb2gzlq3nA0NAg/waF1Ojp3dCwTXXYOSk+75yU8/LRe/jcfSuImZgZY9LiATLnmLR4AEzMhOPYwxuv8drHXxUlasTeNWdFsb5jW6NkBdnWBS5ZoTj6jm0tiu9ZXTDuAQHYF/6HfeGTrkOaonWPunArVUTbpRAREREREZEO+/qetEdERERE9JUZ0KsnjIyMpG7r1aULzM3NlT5G1w4d4HPjGsaPGgkrS8s89y1XujSWzp+HZzevo37t2kofWxW+HzsGPjeuoUfnTnku/GlvZ4cfvhmLF7dvonP7diqtQU9PD6OHDsGb+3ex6c8/0LZli3zP5f+U9HDHiIEDsXfTRoS8fI4tq1fBrbjiD9Al9Vu/cgXePX6Iv5YvQ59u3VDSw13mthYW5mhUrx7+XLoYwS+eYeXiX2BlJVtfUTdzc3Ns+vMP3Dx7Ot/rSV9fHw3q1sHeTRtx9cRxeLi5KXzcS9eui3IvnDld4XwElPTwwPVTJ7F300bUr1M7z0VoTU1N0bNLZ9w8exob/vhdtNCjrELDwvHK11cQcy1WDN8MH6ZQPlX435j/3ehRcLC3z3PfcqVLY9mC+Xhx+yaaN26koQrz17JJEzy/dQNL589D2VJ5L9ro6OCACWPG4MXtm5gwZrTCx/z8mgSA7p06wru6p8I5STv98dK1a6LYzEmTFL7OCwNtXFOqxjG+8OAYX3hwjNfO2KRq/D5EqlSjWlU8vHIJa3/7FZ5VKue5r5WlJYYN6I/H167g51kzRYuNy+reo0dI/GyB7ZrVq6Nbx44K5VOWgYEBfpkzG4+vXcHQ/v3y/Xey6lWrYN2K3/DwyiV4VqmioSrz17dHd7y6exszJ09CcRfxTZX/5VqsGGb/OBmv7t5G725dNVMgEREREREREREREREREZGa7T0tXhBuVPeucuVoXa8O3F2KCmJRcXE4V0Aevn36xi3ExCcIYh7FXNCmfl258ozo1kUU2yfl/JLuYl/QDZGxsTh/+64gpqenh1Hdxec1LyO6dRbNdTt76w6i4+KVrlETwqKiRLF6nlXlzlPfs5o4d3S0QjVpWkZmJg6euyiKj+7RTa48/dq1gcVncxmfvX2H537vlKqPNCcsStxnSxYvhqKODnLnknpNSMlPhVtj7xpS53N+jBCPvUSFXX3Paiju7CyKP3z5WgvVEBERERERERERERERERERkSqdPXkasTExgph7CQ+0atdGrjxDRw4Xxfbv3qtUbZq0f5e41uGjR8qVo2Xb1nD/bJ366KgoXDhzTqnaNIV9oXBp2qK5KPYx5KMWKlHMwX0HkJmZKYg1aNwQFSpVlDmHsbEx+g8ZKIrv371P6foKCisrK7Rp31YUf3j/gRaq0Z4efXqJYh/evUfMZ2Me5e3Anv0I+OAviA0YMhC16urG84o0Qdrnha49u8PeQfY56/YODugs5b68vwvI2BQVGYmL5y4IYnp6ehg+Rr7PTUNHDRfdz3P+zDnEFJB7WUg13NzdULteHVGc71PAo3uynwN+lyEiIiIiIiIiIiIiIiIiosLq1L6boljP4eL5kXmp36oaXNwdBbG46ETcPv9Uqdo05fqZx4iPFT6nupiHExq09pQrT/ehzUSxU/vF51dXsS+wL6iKgYE+WnYTz3t88aDgrD/MvvAJxwUi3XJy3w1RrGXX2rB1sJI5h62DFVp0qSWKS7vedVFsZAJuX3wmiOnp6aHHiBZy5ek+rJlonvXN8z6Ii05UukZNYF9gXyAiIiIiIiKSl6G2CyAiIiIiIvVycnSEJDRE7cdxK14cKxf/gl9/Woj7jx/jte9bRMfEID0jA5YWFvBwc4VnlSoo4e4ualvC3R2ZUREKHffd44fKlg4AqFC2LPZv2QyJRIKb9+4hMCgYUTHRyMkBHO3tUbliBdSqIf0hy4rWLo2RkRGG9u+Hof37ITMzE4+fPkNQSDCiY2IRExcHALCytICttQ1KlSyBiuXKwcbaWmXHJ83xcHPDmGFDMWbYUABAbFwc/N5/QEBQECKiIpGcnJJ7/VhbWcHO1gbly5ZF+TJloK+vr5IamjZsoNL++z91vL2xf8tmpKSk4P7jJ3jz9i1i4uKQnZ0NaysrlCpRArVqVIeTo2P+yfIRFBIC33fCCYj9enRHtcqVlc4tjyH9+mJIv74aPeZ/zZs2FfOmTVVpTj09PfTq2gW9unZBZFQU7j16jA8BAUhITIS+vj7sbW1RvmxZ1PaqATMzM6WPd/HaVVFs7tQpMDU1VTq3MtyKF8fvvyzCbz//hMdPn+HF61cIj4hEWno6LMzN4Va8OKpXrYIypUqp5HiXjh1RSZ7/srCwwOTx4zB5/Dj4vX+PJ8+eIygkBMkpKTA1MUERZydUrlAR1atWUcn4cvHaNcHPBgYG+GnmTKXzyktVnxEUpY7xVdP98fPXslQJD4weMlgluWWlzOdEddH0NcUxXnW2rF6FLatXafSY/8UxXjnquBYUxTFePTQ9NvH7kOpo+/uQolQ5rqjjPcbIyAijhgzGqCGDEfzxIx4+eQL/wCAkJSfDyMgQjvYOqFi+HGpWrw4jIyOlj3fx6jVRbNHc2UrnVVbFcuWw6c8/sPa3X/HgyRO8euOLqJhoZGRkwsrSEiXc3OBV3ROuxYqp5Hjq+B7hYG+PhTOmY+GM6Xjx+jWevXiJkNBQSFJTYWZqiuIuLqhauRIqV6ig8mMTERERERERERERERGRemVnZ8P/Yyje+AfgY0QkEpKTkZGZCRtLS9jZWMPDpShqVCgPYxX8Ta8wC4uKhs8bX0TFxSEyNg5Z2dlwsrWFs4M9alWuBAdbG22XSAoKDAvDs7fCuQ1mJibo0Uq+hUv19fXRv10bLNmyXRA/ee0mOjRuqHSd6nbymngBvwHt24oWuctPr9YtMHH5CqSmpefGHr/2RUhEJIo7OyldJ6kf+4JuOHvzDjKzsgSxBtU9UdK1uFx5Sru5op5nVdx68u8iyhmZmTh3+y76tWutklrVKVmSKoo529nJnaeIg70olpQiUagmTbvj8wzR8fGCmLtLUTT2riFXHmtLC3Ru2hh7T58VxE9eu4EqZUorXSepX7JE3GedFLgeAMDZXtxOWn4q3IyNjOBoY4PwmBhBPDElRUsVEWlX1bKlERIhnLsfHh2tpWqIiIiIiIiIiIiIiIiISBbZ2dnw/+CPt6/f4GPIRyQmJiI9PR02tjaws7OHRwkPeHpVh7GxsbZL1WnhYWF4+tgHUZFRiIqKQlZWFhwdHeFcxBk169SCvYODtkskUsrp4ydFsX6D+ss9N7ZH316YMmESUlP/ndvo8+gJPoaEoFhx+eZ3alpQYBCePxU+RN3MzAzdeveQK4++vj76DOyH5YuWCuKnjp9Eu04dlK5T3dgXCheXYi6iWFJiohYqUYy0/th/8EC58/QfMkh0TV46dwHp6elfzWegytWqALuFsfCwcO0UoyWlSpeCubk5Uj6bAxoRFg57e/FcepJuw5p1otj4Sd9roRLtOX3ilCjWf4giY9NA7N+9VxA7dfwkFv26ROHaNOXcqbPIzMwUxOo3aoCSpUrKlad0mdKo26Aebt+4lRvLyMjAhTPn0XtAwVsfmRRXuWoVQT8Avr73qSrVqohiiYmJSElJgbm5eZ5t+V2GiIiIiIiIiIiIiIiIqODKzs5GiH8k/H0/IvJjLJISJchMz4SlrTls7CxRzN0JFaqXgJGxobZL1WlR4XF44xOA2KgExEYlIjsrG3aOVrB3tkGVmqVh62Cl7RJJQaFBUXj7PFAQMzEzRqvudeTKo6+vj/Z9G2DzsqOC+NVTj9C4vZfSdarbtVOPRLEO/RrKPb+3Tc+6WPbjdqSlZuTGXj/xR8THGDgX0+15dOwLn7AvqE7ZKu6iWHREvJQ9dRP7AscFIl10/fRjUazTwMZy5+k0oBFO7RM+B+La6UeYtHiAwrVpyo1zT5CVKXxuQo365eFa0lmuPG6li8Kzblk8ue2bG8vMyMKtC0/Rvk8DldSqTuwL7AtERERERERE8uJfxImIiIiISKUMDQ1Rr1Yt1KtVS9ulKMTMzAwtmzTRdhkAPp3LWl41UMtLvofEU8FkZ2tb6F5vc3NzNGlQH00a1FfbMS5duy742djYGPOnT1Pb8b5WTo6O6NC6lVqP8flrWaFsWQzppzuLIurr68O7uie8q3tquxSllClVCmVKlVLrMT5/LYf174/yZcuo9ZhfG030R//AQLz3DxDEFkyfDiMjI7UdsyDSxDWlbhzjCw+O8YUDx/hPNDE2qRu/D5EquRYrBtdixdR6jM/7U8umTdCisfw3IqiLkZFRgf43x/+pXKECKleooO0yiIiIiIiIiIiIiIiICpRzt+6gy/c/CmJ927bG1p/mKpU3JCIS5Tr1QHZ2dm6sculSeLBvR57t3gYE4tjV67j24BFu+TxFUookz/3NTExQp2oVjOnVHZ2bNoK+vr5SdcvLrFZDwc8DO7TDxvmztJ4rIiYWa/YfwOnrt/D0rd8X99PX10eNCuUxoENbjOjWGcY6NL+B8nfl3kNRzLtSRViYmcmdq0lNLyzZsl0Qu3T/gcK1adKVB+Lz0Nhb/vsGLMzM4F2pIm4+9hHEL997gIEd2ylcH2kO+4JuUNXrAABNvL1w68lTQezyvQfo1661Qvk0ycHGBmHR0YKYJC1N7jzJEvFnITurgvFgiisPxIuMN/KqLvci4wDQpGYN7D19VhC7dO8Bpg0fonB9pDkONjaiWKoC1wMAJKemimK2BeSaINVKy0gXxRxsrLVQCZH2WVmYi2IJSclaqISIiIiIiIiIiIiIiIhIt1w4cw49OnQVxHr374uNO7colfdjSAgqlygvmCddqUpl3Pa5n2c7P9+3OHH0OK5fvoo7N28jKSkpz/3NzMxQq14djPpmNDp27azxedI2BsK/RfYfPBBrt27Qeq7IiAisW7UGZ0+exjOfZ1/cT19fH9W9a6DfoP4YOmoEjI2NFToekTZdu3xVFGvYRP61yywsLOBVyxu3rgsfpH7lwmX0HzJQ4fo04erFy6KYVy1vWFhYyJ2rUdMmWL5oqSB2RUp+XcS+ULikSZlDae9gr4VK5Jeamop7t++K4g2byt8fS5UuBVc3VwQHBefGkpOTce/2XTRs0kipOgsKKylzYBPiE7RQiXZZWVshJSVFEPsaz4Oi3r31w5OHjwWxylWroGLlSlqqSPP8P/gj4IO/IGZsbIw69evKnatug3owNjZGevq/c5Xf+71DYEAg3D3clS1VraR/XlBsPG3UtDFu37gliF25eAm9B3Dd+6+JlbV4fn5CfLwWKtEeaecA+HQezM3Fc7j/i99liIiIiIiIiIiIiIiIiPJ267wPvuu+XBBr16c+ft70rVJ5Iz7GoEPF75GdnZMbK13JFX/fXZJnu4C3obhy4iEeXH+JJ7d9kZIkXvPuv0zMjFGtdhn0HtUKTTt5a3yut7eVcM5fx/6NsGD9GK3niomMx76153D9zGP4Pgv84n76+nqoWKMkOvRriO7DmsPI2FCh45F23L/yQhSr7FUKZhamcueq2bgSNi87Kojdk5JfF92/9lIU825UUe48ZhamqORVCo9vvRHE715+jk4DdOe519KwL3zCvqA6FlbitfWT4lOk7Kmb2Bc4LhDpmhD/CIT4RwpiRsaG8KxTVu5cnnXLwcjYEBnpmbmxoHfhCA2Mgou7o9K1qtP9q6oZn4FPY9OT276C2L3Lz9G+TwOF8mkK+8In7AtERERERERE8tHsX8GJiIiIiIiIiFTo4lXhwnyjhwxGSQ8PLVVDyrh07brg559mzYCBgYGWqiFF+b1/j4CgoNyfzczMMGfqj1qsiBR18eo1wc+eVSqjb4/uWqqGCjqO8YUDx/jCg2N84cHvQ6QqKSkpuPPgQe7Penp6WDR7thYrIiIiIiIiIiIiIiIiIvpXizq1UMzZSRA7duUaEpKSlcq759QZZGdnC2KDOrX/4v7P3vqh7oBhqNazP2avWotzt+8iKUWS73EkaWm48uAh+k2bhZp9B+O53zul6i7oUtPSsHDdJlTu1htLt+zA07d+ee6fnZ2Nhy9fYdLy3+HZsz/O3rytoUpJFR68fCWK1fOsqlCuWlUqwfCzeWcBH0MRFRenUD5NiYiJRVBYuCBmaGCAmpUVWxivXjXx+ZN2nkn3sC/ojgcvVDc2SWv3sIC8DlXLlhbF3vh/+YETXyKtTdVyZRSqSdMevBAvXCrt2pJFvWrVRLHHr98gJydHyt6ka6qWFffZ9yEhyMzMlLJ33nz9A8T5C8g1QaoTFReHuMQkQczG0hKl3Vy1VBGRdgWHR4hiDrY2WqiEiIiIiIiIiIiIiIiISLc0a9UCxYoXE8ROHDmGhIQEpfLu27VXNE96wNBBX9z/+dNnaOhdF94VPTFv+mxcOHseSUlJX9z/fyQSCa5duoJBvfqjnmctvHj2XKm6C7rU1FQsmrcQ1ctWwa+/LMMzn2d57p+dnY1H9x9iyoTJqFmpOs6fPquhSolUIzIiAkGBQYKYoaEhvGvXVChfnfr1RLFHDx4qlEuTHt5/IIrVqV9XoVw169SCoaGhIBboH4DoqCiF8mkK+0Lh8+6t+N6n6l41tFCJ/J77PEVaWpogVtSlKEqULKFQvq+9P4YEB4tiDo4OWqhEe9LT0xEZESmKf23nQRlnTp4WxdrlcR9nYfTwnvjzQnXvGjAxMZE7l6mpKTy9qovij+7r/tgk/XOTeJyVhfTx+ZFCuajgCgni+1SwlHOgp6cHe4f8zwO/yxARERERERERERERERHlrU7zqnAuZieIXT7+EEkJKUrlPbn3BrKzhWsUdh7Y+Iv7v30eiP4NZqG71xT8OXcfbp1/ipSk1HyPkyZJx/2rLzFl4B/oU2cG3r4IyrdNYZaWmo61Px9El2qTsXn5Ufg+y3vtzezsHLx4+B7LftyBHt5TcPOcj4YqJVV4/vC9KOZZt6xCuarWLA0DQ+Ga2B8DIhEblahQPk2JiYxHWFC0IGZgaIAq3qUUyudZt5wo9vLRB4VyaRL7AvuCqoUHR4titg5WWqhEfuwLn3BcINItL6RckxWrl4SxiZHcuUxMjVHBs4T4GI/Ex9A10s6DtHFWFgV1fGZf+IR9gYiIiIiIiEg++tougIiIiIiIiIhIUZev38j9f0sLC8ycNFGL1ZCi3rz1Q/DHj7k/1/b2RreOHbVYESnq0rXrgp/HjRyB4i4uWqqGlPH5a/nz7NnQ09PTUjVUkHGMLzw4xhceHOMLD34fIlW5fucO0tPTc3/u2bkzvKt7arEiIiIiIiIiIiIiIiIion8ZGBhgQPu2glhKaioOXbikVN7dJ88IfjY0MEC/dm2+uP+HkI/w8X2r1DFfffBH0+FjceLqjfx3LoQiYmLR5psJWLx5G5JSJHK39/8Yih6Tp2Pd34fUUB2pw1NfP1HMs7xiC5damJmhrLub+BhvlLsu1e2plHGjrLsbLMzMFMpXvYJ4YTxpxyDdw76gGySpaXgbKH7QhKJjk7TX4U1AINL+MxdHV7Vv1EAU++fSZbnzHL4obtO2QT2FatK0p2+lvU8ptnBpuRLuMDc1FcQSk1PwPjhEoXykWUUdHeBVsYIglpicgvN37smVJy09HSev3xTEjI2M0Lx2TaVrpILln4tXRLGOTRpCX5/LPNHXJyMzE2/8A0TxYs5OWqiGiIiIiIiIiIiIiIiISLcYGBig76D+glhKSgr+UXKu7N4duwU/Gxoaos+Avl/c3//9Bzx78lSpY75++QqtGjTDqWMnlMpTUEVGRKBji7ZY9vMSJCUlyd0+4IM/+nTpiY1r1qmhOiL1eCpl3ChTriwsLCwUyudZo7oo9sxHubFJE54/fSaKVateXaFcFhYWKFNOPKdV2rnWJewLhc/RQ/+IYp26ddFCJfJ75iPtmlR8XUVPr+riY+j4NalKz6WcT5fixbRQifa8ePYc2dnZgpienh6KuBTVUkUFz/XLV0WxKtWqaaES7Xn+VDxuKDU2SX2v9FE4nyZIJBL4SbnvybOGYuehupTx2ff1G6SlpSmUjwomaZ/Fv7b3KWnv1Q6OjjA2Ns6/Lb/LEBEREREREREREREREeXJwEAfHfo1FMRSU9Jw/vBdpfKe2CNcl9rA0ADt+4rXhvyf4A8RePNUvIaTPN6/DsGwFvNx9eRDpfIUVDGR8RjT/hdsWnoEKUmpcrcP8Y/ExN6/4e8N59VQHanD22eBolh5zxIK5TKzMIVHGfF8Md9nyl2X6vbmqfgceJQpCjMLUyl7569C9RJSjqHb5wBgXwDYF1Tt7XPx+XQqZqeFSuTHvvAJxwUi3SLteinv6aFwPmljk6+Oj02pknQE+oWK4hWqKXYeKkoZ0/x9PyI9LUOhfJrCvsC+QERERERERKQIQ20XQERERERERFQQtezaTWr80I5t6NK+vYar+Tq9eP0aoeHhuT9P/PYbODvxIc8F0cVrwsU2f5kzW0uVkLIuXruW+/+2NjaY9v0ELVZDisrJycHlG9dzf25cvz7atWyhxYqoIOMYX3hwjC8cOMYXHvw+RKp08eq/Y7yhoSEWzpyhxWqIiIiIiIiIiIiIiIiIxAZ1bIfl23YKYjtPnMKwrp0Uynf32XO88RcuptW2YX0428u3KGZRBwdULFUC5Up4wM7KClaWFsjMzERcYhJef/DHvWcvEB0fL2iTLJFg6JwFuLljE8qXUHyBsIImJCISLUd9C/+P4gXCzE1NUbNyRXiWLwd7aysYGhoiKjYOD1++xt1nz5GRmZm7b1ZWFiYu/x2mJiYY2qWjJn8FUsCHkBBRzN1FvPiorFyLOOPVB39B7H1ICJqjlsI51e19sOrPwec+BH9UOB9pDvuCbggIDUV2drYgZm5qCic7xRbGdrKzg6mJMVLT0nNjWVlZCPgYhnIl3JWqVd0GdmyHxZu3ISImNjd25NJV3Hj0BA29qsuU49X7D9h46B9BzN7GGoM66v59VSmpqQiLihbFlb0ufQOEi3a/Dw5BaTdXhXOS5kwc1A+DZs4TxOb+tR5NanrB3FS2xeeXbtkh6lf927dReIyhgikiJha/bNwqiBkbGeHHIQO1VBGRdp28dhMx8QmCmJGhIep5VlU4pyQ1Fb/v3INbPs/w6v0HRMfFIVmSCjtrK9hZW8O1iDPqe1ZDgxqeaFC9GgwNucQaERERERERERERERER6a4BQwZhxZJfBbE9O3ZhyMhhCuW7f+cefF+/EcTatG8LJ2fxnLO8FClaBBUqV0K58uVga2cLK2trZGRkID4uHm9evsL9u/cREy2cJ5GcnIyRA4fhyr0bKFehvEL1F0QfQ0LQtkkrBHw2xxUAzM3N4V27JqpV94SdvR0MjYwQFRmFxw8e4t7tu8jI+PfByFlZWfjxu0kwMTHF4BFDNfcLECnow7v3opibu5vC+VylzLWTdgxd8+HdB1HM3UPx81DctThev3z12THeo1nL5grnVDf2hcLlxtXr+OfAIUGsVJnS6NW/j5Yqks+H9+Jr0s1D8XndxV2l9Mf3X0d/jIyIwIWz50XxRk0aaaEa7dm7Y7coVqOmFywtLbVQTcH05NFjUaxKtSqCn69euoIjBw/j/t17CHjvj5SUFNja2cHRyRFlypZB01bN0bpdW3gU0PsxpX1eUGpskvpeKT6GLgn0DxDfz2NuDkcF11J2dHKCqakpUlNTc2NZWVkI9A9A2fLllKqVCoYnjx7j5fMXonijJo21UI327N2xSxRrKON7Nb/LEBEREREREREREREREeWv04DG2PrbcUHs+O7r6Da0mUL5nt3zg7+vcN3Qhm2qw97JRq48DkVsULqiK0qUKwYrW3NYWpkhMyMLifEpeP86BM/u+yE+JknQRpKchlkj1mDn1Z9QsnwxheoviCI+xmBkm58Q4h8p2mZqboLK3qVQoZoHrO0tYWhogNioRLx89B5P771FZkZW7r5ZWdlYOnk7jE2M0HVIUw3+BqSI4A/hopiLm6PC+Yq42uP9a+G6wsEfwlGnWZUvtNA+qefAXfFzULS4g0zH0DXsC+wLqpSRnomzB++I4t6NKmqhGvmxL3zCcYEKguunn+DM37fx4uE7RIfHIz42CabmJrCxs4CtozUqVi8BrwYVULtJZdg5WWu7XKUEf4gQxZS6JovbSzmGbo9NoQGRyM7OEcRMzU0Ufm3tnKxhYmqEtNT/3ruajY8BkShRTne/C7IvsC8QERERERERKYJPIyIiIiIiIiKiAunSteu5/+/k6IhJ336rxWpIGf99LVs3b4amDRtosRpSVE5ODq7cuJn785QJ38HO1lZ7BZHCnr18iYjIqNyff5k7W4vVUEHHMb5w4BhfeHCMLzz4fYhU6fJ/+tPwAf1RtnQpLVZDREREREREREREREREJFbWwx31PKvits+z3Nhtn2d4FxSM0lIeTp2fXSdOi2KDO7WXqW3NyhXRs1ULtG9YH2Xzeah2RmYmTly7gTmr1+FdUHBuPFkiwbA5C3Br5xb5Ci+gMjMzMWjmXPh/DBXE7aytMGvUcAzu1AFWFuZS24ZERGLRhi3YelS4uPmk5b+jVuVKqFyGf9/UVZLUNETExIribkWKKJzTrai4bcDHMIXzaUJgqLg+ab+HrNyKFhXFwqKjkZaeDhNjY4XzkvqxL+gGaa+DaxFnpXK6FnGGX2CwIBYQGopyJfL+nKBtlubmWDVjCvpOnYWcnE8LeObk5KDv1FnYveQnNKnplWf7hy9fo+/UmUhNSxfEf586CdaWFmqrW1WCwsQLq5qaGMPZ3k7hnG5Fi8A3IFAQCwgN/cLepGt6tmqBv89dwPEr/86ne+73Dr1/nIFtP8+DYx5zp3NycrBi5x4s3rxNEHdxcsSi7zi/82vy+oM/Bkyfg7DoaEF88ffjUKFkCe0URaRl6w4cEsUa1vCEjaWlwjkjY+Mw8881onhETCwiYmLxxj8AF+/eBwC4uxTFd/16Y1jXTrAwM1P4mERERERERERERERERETqUqZcWdRtUA93bt7Ojd25eRvv/N6hdJnScufbvX2nKDZg6CCZ2nrXronuvXuibYd2KFOubJ77ZmRk4NSxk5g/cw7e+73LjScnJ2PkoGG4dv+WfIUXUJmZmRjWbzACPvgL4rZ2dpgxbxYGDB0EKysrqW0/hoRg8YJF2PHZnJOp309GzTq1UKlKZTVVTaQaQYFBopiru5vC+VzdxfeGhIeFIy0tDSYmJgrnVSeJRILICPHD5JU7D+K2gZ/NTdQ17AuFx5kTpzBq0PDcucUAYG5ujo07NheYcx8k5XpRpj+6Sbsm/QMUzleQbF63EZmZmYKYhYUFGjdvqp2CtCAuLg77d+8Txdt36qCFagqmuLg4hH4Uz6n3+P95tQ/u3sOk8T/A59ET0T5RkZGIiozE65evcOLocRgY/Ii+A/th2txZ8CjhoebKVSsoUMrY5KbE2CSlbWCAbo9N0sbn4grcG/x5+3dv/QSxAP8AlC1fTqm8VDBsWL1WFCtZuhQqVKqohWq04/279zh/5pwoLsv7FL/LEBEREREREREREREREcnGo6wLPOuWg88d39yYzx1fBL0Lg1tp8Zqg+Tm++5oo1nlgY5naVq5ZGq2710GjtjXgUdYlz30zMjJx7dQjrJq3H0Hv/l13UZKchtkj12D39Z/lK7yAyszMwvQhqxHiHymIW9tZYPSM7ug8sDEsrKSvSxXxMQbrfzmMI9uvCOLLpuxAlVqlUaaS4n9fJfVKlaQjJjJBFC/q5qBwzqKujqLYx4AoKXvqjtBAcX1FXZU4B1LOX3R4PNLTMmBsYqRwXnViX/iEfUF1zhy4hbjoRFG8cbu813DWFewLHBeo4Ni16pQolhSfgqT4FIT4R+LFg3c4uOkijE2M0L5vAwya0B4lyhXTQqXKkzo2KXNNuhW8azI0SFxfkeL2SuUsUtwBge+Ez2P4GBil0/2EfYF9gYiIiIiIiEgRhtougIiIiIiIiIhIEd+NHoXvRo/SdhmkAge3b9N2CaQCenp6CPd9re0ySAWqVa6MzCjxIotEiuAYXzhwjC88OMYXHvw+RKp0//JFbZdARERERERERERERERElK/BnTrgts8zQWzniVOY/81oufKkpqXh4Hnh38ic7e3QrkG9PNtVKFEC17ZtQK3KlWQ+lpGhIbo1b4o29euiz5SZuHDnXu62x699cfHufbSoU0uu+guinzZsFr12NSqUw8EVy1DMSbzQ2X8Vd3bCmtnTULtqZXzz85LcuCQtDVNW/IFTa/5QS82fK9qsrUaO8yUrp01C37attVqDvKLi4kQxfX19FHFQfFE4Fyn9JTouXuF8miDtPLg45t3v8+Li6AA9PT3k5OR8dpx4FHd2UjgvqR/7gm6Q+jrk816UHxdHR/gFBn92HN0em/6nc9PG+GPaZExc/juysrIAANHx8Wg/7gd0aNwAfdu2Rs3KFeFsZwc9PT1ExcXj0avXOHT+Eg5duITM/28DfJpr+vN336B365ba+nXkEhkbJ4oVdVB88VZA+jWt6+9TJLT9p/noOXkaLt17kBu7ePc+qvccgGFdO6FN/bqoWKokbCwtIElLR1BYGG489sHmw0fx9K2fIJezvR1OrFoBextrTf8apEE5OTkIjYrG41evcfjiZRw8fwnpGRm52w0NDLBowrf4tk9PLVZJpD3/XLqCqw8eieKjenbTWA2BoWGYsuJPrP37EHYtXogaFcpr7NhEREREREREREREREREshowZBDu3LwtiO3ZvhNzfpovV57U1FQc/vuQIObk7Iw2Hdrl2a58xQq4dPsqvGvLPq/ZyMgIXXp0Rat2rTGge19cOn8hd5vPoye4dP4imrdqIVf9BdEv838SvXaeXtWx/+hBuBTL+4HHxYoXx6oNa1CrTm18N/rb3LhEIsH0SVNx7NxJtdT8OXd7F40c50t+W70Svfr30WoNpJioyEhRzKWY4v2pqIuL1Lmx0VFRKFa8uMJ51Sk6KloU09fXh3ORIgrnlHYOo6N0+2Hy7AsFV1ZWFj68e497t+9i3+69uHrxsmC7g6Mjtu3biZp1amupQvlFSbleXFyU6I9S+nJMdIzC+QqKoMAgrPpNfM/WgKGDYGpqqoWKtGPR3IWIi40VxExMTDBw2GAtVVTwBAUEimImJiYwNjbG5nUbMfX7ycjMzJQpV1ZWFnZv34Wjh45g8+5taNuxvarLVZuoSCljkzLvlVI/L4g/l+gSaedA2u8hD5diLnj32Tz+GB0/D6QaD+8/wN6de0TxEWO/rrW6Z06aKhpDnZyd0blH13zb8rsMERERERERERERERERkew6D2wMnzu+gtjx3dfx7dxecuVJS03HucN3BDF7J2s0bFs9z3YlyxfD9ssLUKVmaZmPZWRkiBZdaqN+K0/82H8l7lz8d13o10/8cefSM9RtXlWu+gui9YsOiV67CtVLYOXfk+HkYpdnW+di9pizeiSq1iqDn8Zvyo2nSdLx27RdWHt8hlpq/lwTV/nWXle16SuGol3v+lqtQV5x0YmimL6+HhycbRTO6eRiK9NxdElclLg+x3z6fV4ci9pKnd8bF50I52KKrzeuTuwLn7AvqEZSQgrWLDwgijdqWwNFXZVbz1hT2Bc4LlDhk56WgSPbr+DEnusYP78PBk0oOPOr/ydWyvXiVFTxsUnqNRmj29dkrJTxOb/vK/lxcrFF4LswQUzXxyb2BfYFIiIiIiIiIkUYarsAIiIiIiIiIl1nbGQEG2vZHq5uaGik5mqIiIiIiIiIiIiIiIiIiIiIiIiIiIi+Lj1aNsfkX1ciJTU1N7b75BnMHTMS+vr6Muc5dvU64hKTBLE+bVvD0DDv223LlXCXr+D/MDc1xe7FP6F67wEI/c+DqdcdOIwWdWopnLcgiIyNxao9fwtiJYq54Piq3+FgK/sClkO7dMTbwECs2PHvQ5gv33+Ix6/foEaF8iqr90vik5Ly30mNMjJke3C9LolLFC/UZmpsDD09PYVzmpmaimIxCQkK59OE2AQp58HUROF8enp6MDU2hiQt7bPjJKC4s5PCeUn92Bd0g7TXwcxE8dcB+PQ+Lz6Obo9N/zWqR1dUKl0SPyxdged+7wAA2dnZOH7lOo5fuS5TDneXovhj2mS0bVBPnaWqVJxa+oK4fUx8wekLBJiZmuDYn7/htx278ev2XUhMTgEARMfH49ftu/Dr9l0y5WnfsD5Wz5oKF0dHdZZLGvTc7x1ajhoniGXnZCNZkors7GypbVrVrY35346GV8UKmiiRSOdExMRi4tIVonitKpXQtVkTlR1HX18fZiYmSJZI8tzvfXAImo34BuvnzkCfNq1UdnwiIiIiIiIiIiIiIiIiVejWuwem/fAjUlJScmP7du7BrAVz5ZonfeLIccTHxQlivfv3yXeedNny5eSq97/Mzc2x/e9dqF25BkI/hubGN61Zj+atWiictyCIiozEmpWrBTGPkiVw5Mxx2Ds4yJxn8Iih8Hvrhz+W//s31qsXL+PJo8eo7lVDZfV+SXx8vNqPkZf09HStHp8UFxcbJ4qZmpkpnE9PTw+mpqaQfDYHIDYmFsWKF1c4rzrFxcaKYqampsrNmTc3F8ViY8TH0SXsC7pv09oNWDhrniCWkZEh+OzxX8bGxug/ZCBmzp+NIkWLaqJElZF6XSrRH83NxW0zMjKQmJgIKysrhfPqsuzsbHw7YgySPruXytraGj/OnKqlqjTv2uWr2LhmvSg+dsI4uBQrpoWKCqbwsHBRzNLKCju3bMekcd9LbWNoaAh9ff0vfk5MSkpCv269sXrjWgwYOkil9aqL9PdK8b0ospI2Nun854XPvqsC0u8VlIeZlPE9Vsr7ABUuEokE3w4fI5rH7+7hjpHfjNZSVZq3Z/sunD5xShSfPnem1Gvjc/wuQ0RERERERERERERERCS7Vt3rYPnUnUhN+XftzxN7b2Ds7B5yzfW+cuIhEuOEc7ba9a4PQ0ODPNuVKKf4XBUzcxMs3fEdetachsjQf/9+9/eGC6jbvKrCeQuC2MgE7P7rjCBWvIQT/joyDbYOss/96jqkKQL9wrB95Ync2L0rL/DqyQdUrF5SZfV+SVK89Hl+mpKRXvDWxE6MSxbFjE2VWxPb1Ey81mhCrPg4uiRBynkwNTVSOJ+enh6MTY2QJhHO64qPTYZzMXuF86oT+8In7Auq8evUnYj4KJwLY2Cgj3Hze2upIvmxL3BcoILJ1NwEGemZyMrM+uI+mRlZWDlrD57efYvF28fn+x1Dl0i7Lk3MFB+bpF6TMbp9TUobn02UGJ+BT/1GdBwdH5vYF9gXiIiIiIiIiBQh+1/siYiIiIiIiL5S/Xr2QPR7P5n+69CaD/olIiIiIiIiIiIiIiIiIiIiIiIiIiJSJSsLc3Rt3kQQCw6PwOX7D+XKs+u4+AG2gzu1V6o2WVhbWmB0j66C2I1Hj5GTk6P2Y2vT2v2HIElLE8R+nzoJDrY2cueaPnwoHGyE7bb8c0yp+kh9UlJTRTEzE/GCbvKQ1j71s/6layTqOA+m4vafX2eke9gXdIO0sclUyddBWvuC9jo0qO6Je3u24cjK5WhRp5bM7WpXrYwtC+bg+eF9aNugnhorVL2UNCnXpJRrSh7S+oKuv0+RmIGBAaYOG4w3xw5ixZSJKOroIFM7QwMDjOjWGde3bcSh35fBxdFRzZWSJmVlZSM+KUnwX2JyCrKzs0X7uhUtgn3LFuHYqhXwqlhBC9USaV9WVhaGzVmA8JgYQdzI0BCrpk9R+IEWtlaW6NGyOdbMmoarW9cj7PIZJN25iqhr55F4+wr8Tv6D3Ut+wpDOHWBibCxqn5aejtELfsH1h48VOj4RERERERERERERERGRulhZWaFz966CWHBQMK5cvCxXnj3bd4piA4YOUqY0mVhbW2PE2FGC2I1rNwr9POn1q9dCIpEIYr/+uQL2DrLNN/mvKbOmidpt27hFqfqI1E2SkiKKmZmZKpXT1MxMFEv97DrTJZIUcW3Sfgd5mBWwcwCwLxQE6enpiI+PF/yXIuV1A4C6Derh0p1r+GPdahQpWlTDlSpP2nWpTH/80jVdmPvj8kVLcO3SFVF87i8LCmSfUEREeDhGDRom+jzrUbIEps6erqWqCqbEhERRTJKSgsnjfxDEPL2qY83m9Xgd5Ieo1HhESuLwPjwQW/fuROPmTUU5srOzMfHbCXjyqGDMB5T+Xqn4Z4aC+D4p7X1H2c9N0tp//h2NCp8fx/+A1y9fieK/rvpdqeuqIHn98hV+/G6iKF6rbm0MGz1Cphz8LkNEREREREREREREREQkOwsrM7ToIlyjMTw4GveuvJArz/Hd10SxToOaSNlTtSytzdFzZAtB7NHNV4V+rve+9eeQJkkXxKb+OgS2DlZy5xoxtQts7C0FsX+2yjfXnzQnNSVdFDMxNVIqp4mZlDXNUsXH0SWpEvFaqNJ+D3mYmko5DxLdPQ/sC5+wLyjvxJ7rOL77uig+YHw7lK3spoWKFMO+wHGBdJuBgT4865TFt3N7YdU/U3H6zZ+4G7sdN8M3417sdlwJ3oBNZ2bjmzk94eIufd3rS8fuY+mkbZotXElSr0slxiZpbVN1/JpMTRGPz6ZKjs8mBWx8BtgXAPYFIiIiIiIiIkXoa7sAIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIqK8DO7UQRTbefyUzO1DIiJx8d4DQcyrYnlUKVNa6dpk0ci7huDnuMQkvP7gr5Fja8u2YycEP5cv4YG2DeoplMvKwhwdmzQUxK49LBgPZf8aZWRmiWImJkou3mosbp+ekaFUTnWTdh6k/R7yMCmA54HYF3RFphpeB2ntMwrY65CRmYkdx09i/tqNuHj3vsztHrx4hfUH/8HfZ88jMzNTjRWqnrR6pV1T8jCV8j6XXsDOC30SEhGJxZu3Y8nmbQiLipapTWZWFg6cu4i/9h3Akze+aq6QdFlQWDj6Tp2FWv2G4MC5i9ouh0grZv65Bpc++/cXAJgzZgQ8y5eVO1+dqlWwfdF8BJ47gV2LF2JY106oXaUybCwtoaenBwAwNDREcWcndG/RDOvmzMDrowfQqWkjUa70jAz0mToTUXFxctdBREREREREREREREREpE4Dhg4SxfZs3yVz+48hIbh84ZIgVt27BipXraJ0bbJo2KSx4Of4uDi8efVaI8fWlp1btgt+LlehPFq3b6tQLisrK7TvLJwrf+PqdYVrI9KEDGnz8ExMlcppamoiiqWn6+6cTGnzRaX9DvIwMZFyDnR8Xir7QuFy5+ZtNPSqi14du+HhPdnnFesKadeliani/dH0C23T09MVzqnLTh49jsULFoniLdu0wsixo7VQkealpaVhQI++CAsNE8QNDAywftsmWFpaaqmygik9LU0US0lJQdp/4rMXzsWVuzcwYOgguBQrljsv0MHREd1798Dx86fw16Z1MDQ0FORJS0vDiAFDkZUlvk9E12hibNL1cSlT6ucmZT8viNtn6Ph5IOWsX70Wu7btFMWHjR6BNh3aaaEizYuNjUW/br2RnJwsiFtaWmL9tk0wMDCQKQ+/yxARERERERERERERERHJp9PAxqLY8d2yz/WN+BiDu5eeC2IVa5RE2cpuStcmC++GFQU/J8al4MObjxo5trYc3XFV8HOJcsXQsE11hXJZWJmhaQdvQezB9VeKlkZqlpkhZV6rqZFSOY1NxO0z0nV7rdHMDPG8Kmm/hzyMpZxHXT4P7AufsC8o58XDd/jl+y2ieNkq7vhmTk8tVKQ49gWOC6Sb7BytMHpGN5x89Qe2XJiHEVO6oH7LanAuZg9Dw3/nBFrZmKNGgwoYObUrjvj8hqm/Dpba/w5vvSz6LKzLpF6XSoxN0tpm6vg1Ke25CdLGV3lIHZ+lnGtdwr7AvkBERERERESkCMP8dyEiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIi0p7G3jXgUcwFAR9Dc2PHrlxDQlIyrC0t8m2/59QZZGdnC2KDOrZXeZ1fUtTBQRR79cEfFUuV1FgNmuQXGITQyChBrHNT8QLl8qjnWRXbj53M/dk3IBCRsbFwsrNTKm9+JPdvqDX/10IPesq11xO3z8lRKqVWSPs9lG1fEM8DsS/oiq/9dfB58xbD5izAqw/+X9zH2MgIenp6SEtPF8Szs7Nx99lz3H32HMu37cKWhXPgVbGCmitWH/X0hQLUGQgAsGb/QcxatQapaelf3Mfc1BSp6emi7xYJycnYd+Yc9p05h8Gd2uPXyT/AysJc3SWTjnru9w6DZ83D32fPY8vCuewL9NXYeOgI/tyzXxRv26AefhwyUKGcP40fK3eboo4O+Hv5YsxetRa/7dgt2BabkIhlW3di2cTvFKqHiIiIiIiIiIiIiIiISB0aNW0M9xIeCPQPyI2dOHIMCQkJsLa2zrf9vl17RXMZBg4dpPI6v8S5aBFR7PXL16hQqaLGatCkd2/9EPqfOe0A0LFrJ6Vy1q1fD7u27sj9+e0bX0RFRsLRyUmpvPmJz0pRa376unAeHs/B//A8FHznTp/FxXMX8OPMqZg5f462y1GKMv3xS20LY3d89OAhRg8eIbrWXN1csWHHZqWv64IgJycH3w4fg3u374q2zV20APUa1tdCVQVbfmP39LkzMWXW9HzzDBw2GAAwbqRwPqGf71v8c+AwevbtpXiRWqLUNVVI3if5eYHkcfbkacyYNFUUr1bDE0t+X66FijQvLS0NA3v0xXu/d6Jtf25Yg9JlyyiVn9ckERERERERERERERER0ZfVbFQRxTyc8DEgMjd2+fgDJCWkwNI6//XFTu69gexs4d/POg9Ubo1meTgWsRHF3r8OQakKxTVWgyYF+oUhMjRWEGvWyVupnJ51y+Hozqu5Pwe8DUVsZALsnPKf66+Mh4m71Jr/a6H838TFsYL4N3F1nIeCNqGSfeET9gXZfAyIxMQ+K5CWmiGIW1ibYdnOCTA2MdJSZarDvsBxgbSvUdsaaNS2hlxtDA0N0GdMa1SpWRpjOy5GSlKqYPu6RQfRplc9mJoZq7JUzVHqHhBxrCBekxyb/h/7AvsCERERERERUT4MtV0AEREREREREREREREREREREREREREREREREREREVFe9PT0MKhjO/y8YUtuTJKWhoPnL2J4t875tt998ozgZxNjY/Rp20qhWjIyM3Hp7n3cefocz9+9h69/ABKSkpGYkoJkiUTmPHEJiQodvyC4/uiJKFatnHIPDC7i4CCK+X8MhZOdnVJ5SfWMDA1EsdS0NKVySqS0NzHW7UVtpZ0Hab+HPKSdR10/D8S+oCsM1fA6SGtvXEBeh2sPH6HbD1ORkipckNfCzAyDO3dAp8YN4VWpAmwsLQEASSkp8PF9i7M372DzP0cRE5+Q2+aNfwCajfgG+5YtQruG9TX6eyjC0FC81IrS71OpUq5Jo4LRF+iTH5b+hvUH/xHFy3m4Y3TPbmha0xtlPdxgbGSE7OxshMfE4M7T59hz6ixOXrshWKh2x/FTePLaF6fW/AEHW/FDbqhg8SxfFpL7NwSxjMxMxCUmIjg8Ao9fvcHRy1dx4e59ZGdnC/Y7ce0GOn03CSf/+h0WZmaaLJtI4/65dAUTl/8uinuWK4vtP89XepFwRfw0fizeBYfgyKUrgviGg/9gytCB/PcEIiIiIiIiIiIiIiIi0hl6enoYMGQgFi9YlBuTSCQ4vP8gho4anm/7vTt2C342MTFBz359FKolIyMDVy5cwt3bd/Dy2Qv4vvFFQnw8khKTkJycLHOeuNhYhY5fENy4el0Uq+rpqVTOIkWLiGIBH/zh6OSkVF4idTGSNg8vVfZ7KaSRSFJFMRMTY6VyqpORlDmC0n4HeaSmSjkHxrp7DgD2hYLg2+/H49vvxwtiEokE8XFx8PP1w8P7D3Bgzz4883km2CcrKwtLf1qM+Lh4LF35qyZLVpi06zJVjvu8Pif5QtvC1h/9fN+iV8fuSEpKEsRtbG3x9/HDcHB01FJlmjVj0lQc3Pe3KD5o+BD8MGWSFioq+AzzmE9f1bMqps6eIXOugcMG49jhIzh7SniP6Jo/VqFn314K16gJRkZGSPvsfgVlxiZpbU1MTBTOpwnS+sKXxlhZSWtvrOPngRRz5+ZtDO07CFlZWYK4m7sb9h89CFNTUy1VpjlZWVkYMWCo1H+PmLVgDnr06SlXPn6XISIiIiIiIiIiIiIiIpKPnp4eOg1ohPW/HM6NpUnSce7QXXQf1izf9if2CNcwMzYxQtteiq3ZmJGRiXuXX8Dnri/8XgTD3/cjkhJSkJKUCkmy7OspJsTKPi+8oHl445UoVq6ah1I5HYqI1xMMCYiEnZO1UnlJ9QyNpMxrlaQrlTMtNUMUMzbR7bVGDY3E6++mpSp5HiTi82Ckw+eBfeET9gXFxETGY1yXpYgOjxfEjYwNsXzX93AvU1RLlSmOfYHjAhU+lb1LY9HmbzGxzwpBPOJjLI5sv4K+Y1trqTLZGRoZIj1NeB0pMzalSrkmdXlcAqQ/NyFN2bFJyvis689NYF9gXyAiIiIiIiJShPhffYmIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIdMzADu2waONW5OTk5MZ2njiN4d0659nu7rPneOMfIIh1bNwQdtbyLYocl5iIxZu2YffJM4iOj8+/QX75kpKUzqGrXn/wF8UGzZyHQTPnqfQ4MXHKvw6kemZSHo6emq7cgnCSNPHC8aY6/hB2U1Mp50HK7yEPSaq4vbTzTbqFfUE3SDs/aUqOTdJex4LwOviHfETPydORkpoqiDfyqo5tP89HMSdHURtLc3M0qO6JBtU9MWlwf4xZuBjHrlzL3Z6ekYF+02bj2tb1qFaurNp/B2VIfZ9KU31f0PX3KfrX7zv3YP3BfwQxfX19zBk9HFOHDYa+vr5om4ujI7o1b4puzZvils9TDJ45HyEREbn7PH3rh14/Tsf59athYCBeLJcKNiNDQzjZ2cHJzg41KpTH8G6d8er9B3zz81LcffZcsO/dZ88x84+/8Mf0H7VULZH6Xbx7H0NnL0BWVpYgXsbdFcdWrYC1pYVW6tLT08Oyid/h9I1bgs99aenpuHD7Hvq1b6OVuoiIiIiIiIiIiIiIiIik6Td4IJYs/EUwT3rPjl0YOmp4nu3u37kH39dvBLH2nTvCzs5OruPHxcVh+c9LsGfHbsRER8vVVpp4Fcy11lWfn28AGNZvEIb1G6TS48REx6g0H5EqmZmZiWKpUua2yiNVIhHFTKUcR1eYmpmKYmmfzcuUl6SAnQOAfaGgMjMzg5mZGYq6uKBhk0b4/seJOH38JCaN+x4fQz4K9l23ag3q1K+H7r17aKla2Um7LpXpj9L64qfjFJ7+GBwUjK5tOiIqMlIQNzc3x9/HDqFy1SpaqkyzlixchLV//iWKd+rWBX+sW62FigoHc/MvXyvjfpgg9xzrCT9OxNlTZwSxxw8eIS4uDra2toqUqBGmZmZI++x+g1QlPjMUxPdJaZ8XlP3cJO08SDsOFWzPfJ6id+ceSElJEcSdnJ3xz5njKFa8uJYq05ycnBxMGDMOx/85Ktr2zYRxmDp7htw5+V2GiIiIiIiIiIiIiIiISH4d+zfChsX/COZ6n9h9Dd2HNcuz3bN7fvD3Fc7JatLBC9Z28q3JlBiXjI1Lj+DEnuuIj1F+Peuk+GSlc+iqD28+imIzhqzGjCGqnQekiteBVM/EzEgUS0/LUCpnmkS8VqmJqbFSOdVNWn1pqcqdh9RUKefBTHfPA/vCJ+wL8kuMT8H4rssQ+C5MEDcw0MfPm79FnWYFc24t+wLHBSqcGrf3QoPWnrh5zkcQv3ryIfqOba2lqmRnYmYkug7TlRibpF2Tpjp+TUobN5Udn9MK2PgMsC8A7AtEREREREREitDPfxciIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIu3yKOaCJt5egtidp8/wNiAwz3a7TpwWxQZ3ai/Xsc/cvI1qPfrhzz37ER0fL1fbL5Eo+QBcXRYTn6CR48QmJmrkOCQfO2trUUySliZYmF5e0q4XeynH0SXS6pOkpimcLycnB6np4oXxpJ1v0i3sC7rB3kZ8flKUfC+W1r4gvA7jFy9HYnKKIFanahUc+/M3FHNyzLe9rZUV9i79GZ2aNhLE09LTMWr+IqXGe02Q9hop3xfE17S0Pke6xz/kIxas2ySKL5v4HaaPGAp9/fyX5qnvWQ1n1v4BBxsbQfy2zzP8tf+gymol3VaxVEmcW78KbRvUE23bcOgIXr57r4WqiNTv5hMf9P5xBtIzhIuAuxUtgpN/rYSzvZ2WKvu3js6ffWYBgPN37mmhGiIiIiIiIiIiIiIiIqIv8yjhgUbNmghid2/dgZ/v2zzb7d6+UxQbOHSQXMc+d+oMvCt4YvXvfyImOlqutl8iSUnJf6cCKiY6RiPHiYuN08hxiBRhK2U+gDLXfU5ODlKlzcnU8ryDvNjZ24tiEolEuTnzUs6hLp8DgH2hMGnXqQPO37wCj5IlRNtmTp6KjM/mB+kiqdelEv0xJUUiihkZGcHKykrhnLokIjwcXVp3QFBgkCBuYmKCXYf2oa6U+ZCF0V8rV2HxgkWieIvWLbFlz3YYGBhooarCQdo1CQAGBgbo1L2L3PkaNmkEJ2dnQSw7Oxu3r99UqD5NkfYeJpEyvshK2tik6++Tdnbi+lIkip8D4NPnLlmOQwXX2ze+6Na2M+Lj4gRxG1tb/HPmGMqWL6edwjRsxqSp2LV1hyg+cNhgLF6xTKGc/C5DREREREREREREREREJL9iHk6o2biiIOZz9y0C3obm2e747muiWOeBjeU69o2zT9CtxhTsXn0a8TFJcrX9klSJeD3TwkJV5yg/CXHJGjkOycfazlIUS5OkK/U38VSJeK1RazsLhfNpgo2U86DMdZ+Tk4P0VPE8UhsdPg/sC5+wL8hHkpyK73ssx5unAYK4np4eZq8eiZZda2upMuWxL3BcoMKr7zdtRLEnt30hSVH8GQiaIu26TE1RfGySek3a6/Y1qerxGQBSpbz2uj42sS+wLxAREREREREpIv+nyhERERERERERERERERERERERERERERERERERERER6YDBndqLYjtPnP7i/qlpaTh4/qIg5uLkiBZ1asl8zONXr6P3jzMQGRuX7776+vowMzGBjaWl4D8rC3PRvsos4qjrYuLjNXKcjIxMjRyH5ONoayuKZWdnIzw6RuGcoZFRopiDrY3C+TRBWn2hUeLfQ1ahUdFSxw0HG2uFc5JmsC/oBgcbKa+DlLFFHtJeR0cdH5uevPHFxbv3BTFDAwNsmj8LpiYmMufR19fH2lnTYW0hXJzz6Vs/nLl5WyW1qou01ygsOlqpnNL6gq6/T9Enq/b+jbR04cK1DWtUx7i+veTKU8bdDT+NHyuKr9y1FxmZ/Mz6tTA2MsK2n+fB2d5OtG3DwX+0UBGRej169Ro9Jk5DSmqqIF7UwQGn1/wB96JFtVSZUMs64oejvHz3XguVEBEREREREREREREREeVt4JBBotju7Tu/uH9qaioO/31IEHMp5oJmrVrIfMyTR4+jf/c+iIqMzHdffX19mJmZwcbGRvCflZWVaN9CPU9ayblGskpPV+5hzETq5ODoKIqFfgxVOF9YaKjUccPewUHhnOrm4CiuLTs7GxHh4QrnlHYOpZ1rXcK+ULi4urli444t0NPTE8RDP4bixJHjWqpKdg5S+kloqBL9UUpftnewVzifLomJiUHXNp3g5/tWEDc0NMSWPdvRonVLLVWmWds2bsHMydNE8QaNG2L34f0wNjbWQlWFh6OT9PewipUrwdLSUqGcNWvXFMXeftaPdY20zwxKvVdK/byg2++T0uqT9nvIQ9o5tNfx80CyC/APQJfWHRAZESGIW1pa4tDJI6jqWU1LlWnWT3PmY+2ff4ni3Xv3xKoNa0Sf2WTF7zJEREREREREREREREREiuk8sLEodnz3tS/un5aajnOH7whiTi52qNO8qszHvHLiISb3+x2xUQn57quvrwcTM2NY2pgL/rOwMhXtW5jnesfHJGnkOBnpXF9QF9k6iO9tyM7OQXSE4mulR4bGyXQcXSKtvqjQWIXzRYXFSR03bOwVmwemCewLn7AvyC49LQOT+v4On7viOYlTlg+S+jmgIGFf4LhAhZdXgwowNjESxNLTMhD0LkxLFclO2vUSGab42CT1mrTX7WtS6jlQYnz+1D5OpuPoEvYF9gUiIiIiIiIiRRhquwAiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIll0ad4E1stWICE5OTe259RZzP9mFPT19UX7H7t6HXGJwoWWB7RvCwMDA5mOFxETi9ELFiEjU7iIsp6eHprW9EKLurVRs1JFuBUtAhdHR5iZmkjNE/AxFBW69JLpmIVBeqZ40WkLMzMYynjeZWVkxFuldZGZqQmc7GwRGRsniAeFh6Oogg9ODw6PEMU8ihVVKJemuBcV1xcUpvhDr4OlPDC7qIMDTE2kjzukO9gXdIO7i/h1kDa2yCMkPFIU83BxUSqnuh25dEUUa9ugHsq4u8mdy8HWBgM6tsPa/QcF8X8uXkG7hvUVLVHt3IoWEcVS09IRERMLZ3s7hXJKfZ/S8b5Anxy9LH5Qzvh+in1uH9SxHWatWoPYhMTcWGhkFO74PEMj7xoK10gFi42lJcb17YV5azYI4pfuPdBSRUTq8dzvHTp/NxnxScJ/c3GwscHJv35HaTdXLVUmVsZD/DknIla5RcuJiIiIiIiIiIiIiIiI1KFT9y6w/m4iEhIScmP7d+3FnJ/mS50nfeLIccTHxQlifQcNkHmedGREBL4ZPgYZGRmCuJ6eHho3b4rmrVrAq6Y3XN3d4FLMBWZmZlLzBPgHoFrpijIdszBIT88QxSwsLGBoqNp5zcbGxirNR6RKblL+Fh8cGKRwvpCgYFGsSNEiMDU1VTinupmZmcHRyQlRkcK5pMGBQSgiZe6wLKSdB3cPd4VyaQr7QuFTp35dNG3RHJcvXBTEr1y8hG69umupKtm4SblelOmPwdKuyRIeCufTFQkJCejerjNePHsuiOvr62Pd1o3o2LWzlirTrL9378PEbyeI4l61vLH/2KEvfvYl2bl5uENPTw85OTmCeHHX4grnLC5lbmJMdIzC+TTBzd0dDz+bRxwcpMTYFCzt84Juj03Sxmdp7/ny+BgcIop5FIIxmoCPISHo3Ko9Qj57jU1NTbH3yAHUqltbS5Vp1m9LluPXX5aJ4m07tMOGHZul/juRrPhdhoiIiIiIiIiIiIiIiEgxzTrXgsXk7UhOkOTGTu27iW/n9pL6N7wrJx4iMS5FEOvQryEMDGT7e19MZDzmf7MemRlZgrienh5qNamEus2ropJ3KRR1dYCTix1MzaTPPf4YEIlOVSbKdMzCICNDvCa2mYUJDAxVvCa2MdfE1kWmZsawc7RGbFSCIB4WFA3HIrYK5QwPiRbFink4KpRLU4q6i9f/DgsW/x6yktbWoYgNTEx1954H9oVP2Bdkk5GRiSkD/sC9Ky9E28bP740+Y1proSrVYl/guECFl6mZMYq42iPonfC5BTGRCV9ooTtc3Bzw4sE7QSwsSPGxKVzK2KTr16SLu7i+8BDl5seHfxS3LyblOLqEfYF9gYiIiIiIiEgR/IstERERERERERERERERERERERERERERERERERERERUI5qam6NGyObYePZ4bC4mIwKV7D9BSyoN6dx0/JYoN6the5uP9smkr4hKTBLGKJUtgxy8LUKVMaZnzJEsk+e9UiNhZW4liuxYvRNsG9bRQjXKKNmur1eOvnDYJfdsWvAVdS7oWR2RsnCAWFBaOWpUrKZQvKCxcFCtVvLhCuTSllKu4Pmm/h6yktS3pWkzhfKQ57Au6oUSxYtDX10d2dnZuLCU1FVFxcXC0tZU7X2RsLCRpaYKYgYEB3F2KKFuqWt1//lIUa1a7psL5mteqibX7Dwpid589VzifJliYmaGogwPCooWLrgaFhcPZ3k6hnMHhEaKYtGufdEtIRCRCIoSvnZ6eHprVUuyaMDQ0RCOvGjh25ZogfufZczTyrqFwnVTwtG1QD/PWbBDE3gYGIT0jA8ZGRlqqikh13gYEouO4iYiOjxfEbSwtcWzVb6hUupSWKpPOScpnvei4ePGORERERERERERERERERFpmbm6Orr26Y8fmbbmxkOAQXL5wCS1atxTtv2f7TlFswJCBMh9v6U+LER8XJ4hVqFQRW/ZsR+WqVWTOk5KcLPO+hYGdlDlG2/btROv22p1zrAh3exetHv+31SvRq38frdZAiilZSjw3IDgoWOF8QYHitiV1bP6BNCVLl0RUZKQgFhQYDO/atRTKJ+0c6vp5YF8onNp0aIvLFy4KYq9eiOcg65qSpUqKYsGBQQrnCw4St5XW5wuS5ORk9O7UHY8fPBLE9fT0sHLtqq/mffnY4SMYO2yU4N4CAKhSrSoOnToKKyvxfXEkP1NTUxQrXgwhwSGCuLWNjcI5bWzFbWNjYhTOpwnS3seUGpuktC1ZWjz+6RKPkiXE9/OkpCA6KgoOjo5y54uKjITks/t1DQwM4ObhrnStpF2RERHo3KoD/N9/EMSNjY2x6+BeNG7WREuVadbaP//CwlnzRPGmLZpjx4E9MFLBPQn8LkNEREREREREREREREQkPzNzE7TqVgdHtl/JjYWHxODu5Reo16KqaP/ju6+JYp0GNJL5eBuXHEFiXIogVqpCcfyybTzKVnaTOY8kJS3/nQoRGzsLUWzJ9u/QsE11zRejpCauo7V6/OkrhqJd7/parUERriWdERuVIIiFBUejSk3Z15IXtA2KFsVcS+r2urPS6pP2e8gqLLjgnQOAfQFgX5BFVlY2Zg1fgxtnn4i2jZjaBcMmd9Z8UWrAvvAJxwUqrOwcrBH0TvjcgrjoRC1VIzupY5OU8UVWBXFsKubhBH19PWRn5+TGUlPSEBuVCDtH+e9riI1MQJokXRAzMNCHi7v8c7Y1iX2BfYGIiIiIiIhIEfraLoCIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiISFaDOrUXxXaeOCWKhURE4uK9B4JY3WpVUa6EbA9uzs7OxpGLVwQxO2srHFu1AlXKyLf4YkyC7i9q9yUJSclyt3GwtRXFYuMTxDsWAPFJSVr9LyMjU9unQCHVypYRxZ689lUoV7JEgrdSHkZftZz4GLqkqpRz4BsQiJTUVIXySTt/0s4z6R72Bd1gZmqCMm6uoriiY5O0duXc3WBqYqJQPk0Jj44RxdyKKr7QqLS2YVGKL4SqKVXLij/LPXn9RqFcvv6BSJZIBDFLczOULF5MoXykOeHR4r5qY2kBa0vxg1pkVVCvCVItd5eiUuMxBfQ7EdF/fQgOQdtvv0d4jPAzhYWZGf5ZuRxeFStoqbIvS0kVP3DM3FS3P7MRERERERERERERERHR12vg0MGi2J7tu0SxjyEhuHzhkiBWp35dlC1fTqbjZGdn4+ihfwQxWzs7HD59FJWrVpGjYiA2Jlau/XVJQoL8f8t3cHQQxQrqOYiPj9fqf+np6fkXSTqpqmdVUeztG1+kpKQolM/n8RNRrEo18TF0jbQafR4/VihXcnIy/HzfiuLSzrUuYV8onNzc3USxGClzkHVNVc9qotjTJz4K5/N59EQUq6Lj12ReUlNT0bdrL9y+cUu0bfGKZRgycpgWqtK8MydOYXj/IcjKyhLEy5YvhyNnj8Pe3l5LlRVO1ap7imJpaeI5fbJKkzIf0MzMTOF8miD988IThfNJf68Uj3+6xMzMDKWl3WsoZZyVhbR2ZcuXg6mpqUL5SDfEREejS+uOePtGeL+WgYEBNu3ahlbt2mipMs3asn4Tpk+cIorXbVAPe/7ZDxMV3bfG7zJEREREREREREREREREiuk8sLEodnz3NVEs4mMM7l56Loh51imLEuVkW58wOzsbF4/cE8Ss7Syw+shUlK0snt+Vl4SYJLn21yVJCfLPRbR1sBLFEmIL5jlIik/R6n8Z6QVzTexyVcVrz79+8kGhXJLkVAT4hYmPUUW29e21Rdo58H8bCkmKYnO3Xj/xl+kYuoZ9gX0hP9nZ2Zg3Zp3oPRcABoxri2/n9NJCVerBvvAJxwUqrFIl4mvZ1Ez311yVfk36K5xPWtuyOj42mZoZw620eB3r1z7+CuV7JaWdR1kXmJgaK5RPU9gX2BeIiIiIiIiIFGGo7QKIiIiIiIhIcdnZ2fB5/gIvXr9CeEQkUtPSYGlhAbfixVC9alWUKlFC2yXK5N2HD/B5/hxBIR+RlJwMUxMTFHV2RqUKFeBZpTL09fW1XaLaSSQS3H/8BL5+foiJi0VWVjasraxQumRJ1KzuCUcH8ULeuqaw9EdF5OTkwD8wEC9ev0FYeDji4uORmZUFOxsb2NnaolyZ0qhaqRIMDAy0XapMCkN/JN3BMb5w4Biv3TE+KjoaHwICEfwxBGEREUhOTkFaejosLSxgY22NokWKwKtaVTg7OamtBlVKSEzE/ceP8dbvHeL+/wEndjY2KFO6FGrVqAFrK/FNbaSbQkJD8eiJD/yDgpCYlARjIyM4OjigQrmy8Pb0hJGRkbZLJBnx/bpwfAb+mt+vC5uMjAw89PHBa9+3iIqORnpGBqwsLVHC3R1entVQ3MVF2yUSERERERERERERERERaV09z6oo6+6Gt4FBubHjV64jPikJNpaWubE9p84gOztb0HZwp/YyH+fl+w8Ij4kRxAZ0aAfXIs5y1+z3n1o1xczEBJL/PAA9JS1VoTwx8fFyt3EvWkQUex8SotDxqWCqWbkiNh0+KojdefpMoVz3n79EZlaWIObuUhROdnYK16cJRR0d4FrEGcHhEbmxzKwsPHjxEo29veTOd1vK+fOuVFGpGkkz2Bd0R83KFeEbECiI3Xn6DC3r1pY7122fgvk6pGdkiGJmJoovvmtuKm6bJuUYuqZm5Uo4f0e4oPqdp88xonsXuXPdfvpUFKtRofxXMf+yoEvPED9ExFSJ6wEAzE1NpRxH968JUi0TI+kLF5uacEFjKtiCwsLRbtwP+BgRKYibmhjj4G9LUM+zqpYqy1t4dLQo5mhnq/lCiIiIiIiIiIiIiIiIiGRQp35dlClXFn6+b3NjJ48eR3x8PGxsbHJj+3btFc2THjBkkMzHefXiJSL+M6cNAPoPHoDirq5y1/zfWjXFzMwMEokk9+eUlBSF8sREx+S/02fcPMQPdv7w/r1CxycqqIoULQpXN1cEBwXnxjIzM/Hw3gM0atpY7nx3b90WxbxqeitVoyZ416qJrRs2C2L3bt9VKNeDu/eRmSmc0+bu4Q5HHV9rln2hcDKRMpfSVMqcYV1TxbMqjI2NkZ6enhsL/RiKAP8AeJTwkDtfYeqP6enpGNijL65duiLaNnfRAnwzYZzmi9KCS+cvYnDvAcj4bG5viVIlcez8STg5y3/PIOWtZt3aOH3ilCAWGxurcL7YGPHndwdH3V4z2Lt2TVHM59ETpKWlSR1v85KamgqfR09Eca9auj82edeqibdvfAWxe7fvoEXrlnLnKkzjM30SHx+Prm074cWz54K4vr4+1m3diC49umqnMA3bu2M3Jo37XhT3quWNAyf+gYWFhcqOxe8yRERERERERERERERERIrxrFsOHmWKIsAvLDd25cRDJManwMrGPDd2cu8NZGfnCNp2Gij7nLp3r0IQHSFcD7pj/0YoUlz+eRL/rVVTTMyMkSb5dx5XqiQtj72/LD4mSe42Rd0cRbHgDxFS9qTCqrJ3aRzackkQe3pXsXsenj14h6xM4ZrYLu6OsHOyVrg+TXAsYosirg4ID/53/bWszCy8ePgONRtVkjufzx1fUaySVymlatQE9gX2hbzk5ORg0YQtOL3/lmhbj+HNMWnJQC1UpT7sC59wXKDCKjpc/CwZO0crLVQin8repUWx1z7+SE/LgLGJkVy50lLT8drHX3yMAjA2ValZGgFvQwWxp3d9Ua+F/Gv8FuTx+XPsC598bX2BiIiIiIiISB6G2i6AiIiIiIiI5Bf88SNW/LUWew4eRJSUh8z+T/kyZTBy8CCMGToE5ubmX9xPG1JSUrBu6zZs2rETvu/efXE/J0dHDOjVEz98MxauxYppsELNuPfoEVb8tQYnz50XLBL+X/r6+qhfuza+Gz0KPTp30nCF+SsM/VERj3ye4uLVq7h0/Tpu37uPpOTkPPe3tLBAo3r1MHroEHRo3Qr6+voaqlR2haE/KisiMhIPnvjgwePHePjEBw+ePEb4Zw8fB4DMKNXcXLFg6TL8tPxXleQCgKXz52HyeO0vjMsx/tPC4s9fvfrUj/6/Pz179Uq0kO+cKT9i3rSpWqoyfxzjNT/Gx8XH4/b9B7h59y7uP3qEF69eIyxCtjHHrXhx9OzSGcMG9Eel8uUVrkFdzl+5gj/WrcfFq9dE18L/GBkZoWWTJvj+mzFo2aSJhitUv+CPH/Hg8ePc95pHPk8R89kC0x5ubnj3+KGWKsxfZmYmtu/dh3VbtuLxs2df3M/aygq9unTBxHHfoELZshqsUPvOXrqEDr37St2mS+M+368/KQyfgb/W92t5DBg1Bvv/+UfqNr9HD1DCXfzwLG14/fYtVqxeg4PHjiEhMfGL+3lVq4axw4dhcN8+MDTkn/yJiIiIiIiIiIiIiIjo6zWoU3vM/Wt97s+StDQcOHcBI7t3zY3tPnlG0Mbc1BQ9WjaX+RihkVGiWN1qVeQvFsDNxz4KtVOGjaUlJGn/LmgdG5+gUJ5Hr9/I3aZJTS9R7NrDx5g1SqESqABqKuUh6Q9evEJKairMTU3lynXt4WNRrLmUh93roqY1vbHr5GlB7OqDx2jsLb5G8pIskeDhy1eieLMCch6IfUFXNK3pjT2nzgpiVx88xuzR8ue69qhgjk0OtrZ4GxgkiEXHixfklVVUnLitg62Nwvk0pWktLyzevE0Qu/boMXJycqCnpydXroL8PvW1c5TSV2MTvjx/TxbRcXGiWEG4Jki1wqLE3yVNjI1ha6X7i50TfUlYVDTaj/seAR+FC38bGxlh39JFaFpL/B1QV9zyeSqKuTiKH8pFREREREREREREREREpCsGDB2EBTPn5v4skUhwaN8BDB8zMje2d8duQRtzc3N0691D5mOEfva3PwCoXa+uAtUCt2/cUqidMqxtrAXrhsV+tqafrJ5ImfuTn0ZNG4tiN65eV+j4RAVZ42ZNsWfHLkHs+pWrUq+RvCQnJ+PRffEanE1bNlOmPI1o3LypKPbw3gOkpKTIvd7fjavXRLEmLXT/HADsC4VRWGiYKOZcpIgWKpGPmZkZaterI3pfvn75KjyGDZYr14f3HxAcFCyImZubo3a9OkrXqWmZmZkY1ncQzp85J9o2dfZ0TJ4+RQtVad6t6zcxoHsfpP3nXjsAcHVzxbHzp1CseHEtVVa4NW/VAj/Nni+IPff58prW+XkqZT5gURcXhfNpQslSJeHu4Y7AgMDcWFpaGu7euoPGzeRbg/3urTtIT08X5i9dCh4lPFRSqzo1btYE+3btEcSuX7mGGfPkzyXt+1fTAvK5icSSkpLQs0NX+Dx6Iojr6elh5dpV6D1A+lrvhc3hvw9h3MixyMnJEcSrelbF4dPHYG1trdLj8bsMERERERERERERERERkeI6DWyM1fP/zv05TZKOc4duo8fwFrmxE3tuCNqYmpugVXfZ5x5FhornRlero9jzwR/fkn9daWVZWpshTfLvHIeE2GSF8rx64i93m1qNK4liD66/wugZCpVABVCtJuI+8Pzhe0hS0mBmbiJXrofXxev/1m5aWeHaNKlW40o4sUc4z+bBtVeo2Uh8fvIiSU7Fy0fvRfE6zXT/PLAvfMK+IN3yKTtwZPsVUbxj/0aYsXKY5gvSAPYFjgtUOAW9C0N0hHiNeCcXOy1UIx/Xks5wcXdEaOC/6zinp2XA5+5bqZ/r8+Jz9y0y0jOF+Us5o5iHk0pqVaeajSvh5F7hd8gH115hzEz5c0kbmwrC+My+8An7AhEREREREZF8DLVdABEREREREcln1YaNmL1oEZKTU/Ld942fH6bMnYfVGzdhy+pVaNKgvgYqzN/l6zcw4rsJCAwOznffyKgorFy7Dht37MDiuXPw7YgRGqhQ/SQSCX6YMQtbdu8WLZj1uezsbNy4cwc37txBw7p1sXP9WrjpyKKPhaE/ysPv/Xts2rkLh44dw4f/LIooi6TkZJy+cAGnL1xA2VKlsPHPlWhYV7GF7FWtsPRHeWVmZuLKzZt4+MQHDx4/xsMnPjKNS5S3r3WM9w8MxPXbt/Hg8RM8ePIEPs9fIDU1VdtlKYVjvOxUOcaP/mEiDh8/oVDboJAQ/L5mLX5fsxaD+vTG8oUL4OjgoFAuVYqJjcXICd/j2Okz+e6bkZGRey67dmiPjX+shJ2trfqLVIOUlBRcvnETD588+fRe8+QxwiMitV2WUnyeP8fgsd/ixevX+e6bkJiIzbt2Ycf+/Zg64TvMmzYV+vr6GqhSu5KTk/HtZN1fqP5rfb/+r8LyGfhre79WxImz57D/n3+0XUaesrKyMH/pMvy6ajUyMjLy3f/R06cY/cNErNqwATvWrUXVSvLdLEBERERERERERERERERUWAzo0A4L1m1CVlZWbmznidMY2b0rAODus+d44x8gaNO1eRNYW1rIfIzoePHidLZWVnLXmpicgmNXxA+sVTcHWxuERUfn/vzqg79CeS7cvid3m+rly8HBxkZwDm/7PENAaBg8XIoqVIe2SO7fyH8nEvEo5oIqZUrjud+73JgkLQ0Hz13E4M4dZM6TnZ2N3afE8886NGqokjrVrUPjhth18rQgtvvUGcwePRx6enoy5zl4/iJS09IFserly8G1iLNK6iT1Y1/QDW0a1IOBgYHg88PNJz74EByCkq6yzwt7HxyCW0+eCmJGhoZoVV/2h2hoi5O9rSj2+NUb9GnTSqF8D1+KF+10ttP9xXzreVYTfVYJDA3DtYeP0aSml8x5EpNTcPSy+HNeh8YF433qa+dkL+6raenpeOH3HpXLlFIo58OX4rnWTgXgmiDVuvnZewQAuBctooVKiFQjKi4OHcb9AL9A4T0IhgYG2PnLArRpUE9LleUvJycHx6S8VzesUV3zxRARERERERERERERERHJqN+g/vh5zgLBPKc9O3Zh+JiRAID7d+7B9/UbQZvO3bvC2tpa5mPERseIYja2NnLXmpiYiBNHjsndTlkOjo4IDwvP/fmNlHlMsrh47rzcbTxrVIe9gwNi/jNP+87N2wgMCIS7h7tCdWhLfFb+65cRfUm7Tu2xZ8cuQWzvzj2YMW+2XHNjD+8/KFrDt1oNTxR3dVVJnerkUcIDlatWwYtnz3NjEokEh/cfxMBhg2XOk52djX0794ji7TvJPu9em9gXCp/bN26KYm4F5D2uXacOuHH1uiC2Z8cuua5JANizfaco1rx1S5iYmChVn6ZlZ2djzJCROHH0uGjb+EnfY9aCuVqoSvMe3ruP3p26IyVF+NmnSNEiOHb+FDxKeGipssKvhrcXXN1cERz07/zD2JgYPPN5iqqe1eTKFRMdjVfPX4ri9QvA3P12nTpg/eq1gtie7bvQuFkTufLs2b5LFCsonxdat28jup/n1vWb+PD+A0qWKilznvfv3uP2jVuCmJGREVq2VeyeGNIuiUSCPp174N7tu6Jty/74FUNGDtNCVZp36tgJjBo0THB9AED5ihVw5OwJ2KnhnhR+lyEiIiIiIiIiIiIiIiJSXMf+jbD2p4PIysrOjR3fdR09hrcAADy75wd/34+CNi261IKltbnMx4iPSRLFrGxkb/8/yYkSXD7xQO52yrJ1sEJ0+L/rPL5/HaJQntsXxOu55ae8pwds7C0F59Dnji9CA6Pg4u6oUB3a8jBRPFeE8lfMwwllKrvB70VQbixNko7zh+6g8yDZ5+tkZ2fj5F7xuuRN2su+Xqk2NWnvhRN7hPMpT+69gTEzu8s1v/fcobtISxU+a7u8pweKFHdQSZ3qxL7wCfuC2J9z9mH/evH9RK2618HcNaPkOi8FCfsCxwUqnC4evS+KFXVzQDEPJy1UI7/G7b2wf905Qez4rmuo1biSXHlO7L4uijVpVzCuyYZtPGFgoC/4jvn41hsEf4iAa0nZnz0R9D4cT277CmKGRgao19JTZbWqE/sC+wIRERERERGRvPS1XQARERERERHJJicnB2MnTsbEmbOQnCzfQsgBQUFo06Mndv99QE3VyW7Hvn1o16s3AoOD89/5P5KTUzBh2gyMnzJVTZVpTlx8PJp16oLNu3YhJydHrrY37txB7Rat8OyleDFBTSos/VFeuw8cxK+rVuNDQKBSed6+f4/mnbti4bLlKqpMcYWhPyoq+ONHtO3RC7N++hn/nDgp97hEYl/zGL9w2XIMG/cd/tq0GXcfPBQtDl6QcIwvHGP8zv1/o1rDRvB5/jz/ndUoMDgYdVu1xrHTZ+Rue+TkKdRr1QbBHz/mv7MOuvfoMbr0H4CFy5bj5LlzCI+I1HZJSjl3+TIate+IF69fy9UuIyMDi35bgR6DhyIjIyP/BgXc7EW/ICAoKP8dtehrfr/+n8LwGfhrfb+WV2Jiks732bS0NHQbOBiLV/wu9zj57OUrNGzXHhevXVNTdURERERERERERERERES6rZiTI1rWqSWI3Xv2Ar7+n+YA7TpxWtRmUMf2ch3Dyly8kHVoZJRcOQBg3d+HkJCcLHc7ZVUpU1rwc1hUNN7KOUcqKi4O+86cy3/Hz+jr66NXm5aCWEZmJpZv3SF3Liq4+rVvI4ptPHxErhznbt9FYGiYIOZgY4M2DeoqU5rGtGtYD3bWVoJYwMdQnL11R648mw4fFcX6tmutVG2kWewLusHZ3g6t6tYWxHJycrBRynnNy6bDR0Xzz1rXqwNHW1tlS1S72lUqi2LHrlxDZmamQvkOXbgsitWqIt8CqNpgZGiInq2ai+IbDv0jV549p84gWSIRxKqUKY2qZcsoVR9pho2lJcqX8BDFD18U92tZvA0IxNO3fqJ4QbgmSLV2HD8pirVpUE8LlRApLz4pCZ3GT8LL9x8EcX19fWxeOAedmzbWUmWy2X/2PF598BfFW9Wro/liiIiIiIiIiIiIiIiIiGTkUqwYmrdqIYjdv3MPb998esDu7u07RW36Dxko1zEsrSxFsbCPoXLlAIANf61DQkKC3O2UVblqFcHPYaFh8PN9K1eO6KgoHNizX+5j6+vro2ffXoJYRkYGflu8TO5cRAVZmw7tYGtnJ4gF+gfg/OmzcuXZunGzKNZnQD+latOkPgPFtW7ZsEmuHBfOnEPgZ/d62Ds4oFU78Xx8XcS+ULjExMTgxNETonjrAtIfe/btBQMDA0Hs5rUbeP3ylcw50tPTsXub+PNWnwF9la5Pk3JycvDd6G9xcN/fom0jvxmNRcsXa6EqzXvm8xTd23dFYmKiIO7g6Ihj50+hNOd9q5Wenh76Duovim/dIB7z87Njy3bRfQ9u7m4o/dk9lLpI2ueFIwcPIyY6WuYcMdHROCrlfofeBWRscnJ2RovWwvtNc3JysGW9fJ+btm7YLLqfp2WbVnBwdFQsAQnQAAEAAElEQVS6RtKs9PR0DOzRFzeuXhdtW7h0EUaP+0YLVWnepfMXMbTvINH4VqpMaRw9dwKOTk5qOza/yxAREREREREREREREREpxsnFDnVbVBXEnt33g7/vp2ewH98tfr5sxwGN5DqGhaWpKBYZGitXDgDYv/48khMk+e+oYmWruAt+jgqLQ8Bb+eaqx0Yl4vTft+Q+tr6+Ptr2Eq75lpmRhS2/yrfmKBVsHfo2EMUObrkkV45b558iNFC4Fr2NvSXqt/ZUqjZNadi2OqztLASxjwGRuHnOR648h7aKz1v7PuLzq6vYF9gXPrdhyT/YvlI8V7pJB2/8vPlbGBjoa6EqzWBf+ITjAhUmSQkp2PnnKVG8XotqWqhGMdKuyQtH7iEuOlHK3tLFRSfiwpF7ong7Kbl1kb2Tjeg7Zk5ODg5tvihXnsNbLonmWddvWQ12jlZfaKFb2BfYF4iIiIiIiIjkVXj/RZ+IiIiIiKiQmbHwJ2zaKV7cUU9PDy2aNMb3Y8fg59mzMGboEFStVFG0X2ZmJoZ/NwFnL8k3yUeVTpw9h5ETfhAtFAUAnlUqY+ywofh59ixMGDMGzRs3gp6enmi/dVu3Yc4vBXcByMzMTHTuPwAPnjwRbTM3N0fPLp0xfeIPmDdtKob064uizs6i/SKjotC2Zy+EhMq/CLqqFIb+qGoWFuZo0aQxRg8ZjNk/TsbiuXMwZcJ3aNOiOSwszEX7Z2dnY+Gy5fj519+0UO0nhaU/FjZWlpawsbZW6D9TU/FNNJrCMb7w4Bgvpu0x3sbaGrW9vTGkX19M/X4CFs2ZjV/mzsa0H75Hj86d4Fa8+P+xd9fRUSRbGMC/ibsHCxHc3d1dF3db3N3d3d3dYRddYHG3JLhrcAjE3d4fecnS9CQZ78nw/c7Z85jbU1U30zfVPS81NXLbff3mj5pNm+HBY8U3FNek4JAQ1GnWAq/evBUdc3RwQPuWLTBhxHCMGzYU7Vo0h4O9veh5L16/Rr0WrRASEqqLlCkFPnfvoXmnLggPDxcdy5ktG/7s0AHTxo3F0H590aB2bZiYmIied+TECXQfOEgX6Urm+u3bWLFe+c3CdYnXa8O5B+b1WjFjpk7F+48fpU4jVV37DcDxf/8VxU1NTdGwTh0M698PU8eOQbf27ZEjm5foeWFh4WjWsRPuPnigg2yJiIiIiIiIiIiIiIiI9E+HhvVEsW1HjyMyKgr7/xVuOuWZJTOqlCyuVP9uGcV/Nz568bJSfdx79hwz1m9Sqo2mFM+fVxTb+PcRpfoYNGcBIqKiVBp/RJeOsDA3E8Q2/HVYdG7IcHVp3BDWlpaC2O2Hj7H18DGF2kdGRWHkwqWieM8Wf8BUzjolfWRuZoY//2giio9cuBSRCv5ubTl8FLcfCtcC2lpboXPjBhrJkXSDtaA/+rZuIYqt3LMfT+WseZXnyes3WLlnvyjev20rtXPThdrlyohirz98xPqDyn8BxaFzF3D93n1RvGbZ0irlpmt9WrcQrZU8ePoczt/yVqj91x8BmLZGvHa0f9uWGsmPdKOWnN+JFbv34eM3fznPTt3YpStFG9k62duhpJy1nGS4Nv19BJd87ojiTapV0X0yRGoKDQ9Hk4HDcefpM0FcJpNh9fjRaFW7pkSZKeb5Wz8Mm79YFM+bzQtlChXQfUJERERERERERERERERESmjXuaMotmPLdkRGRuLg3gOCuIeXJyor+XfpLFnFexgeP6LY+s4k9+/ew5ypM5VqoynF5KwL36zkmu2h/QYjIiJCpfGHjh4u2gN287qNonNDZMjMzc3RteefoviYYaMQGRmpUB/bNm6B983bgpitrS06dO2kkRx1oWO3zrC2thbEvG/exvZNWxVqHxkZiTHDRoni3fv0gKmpqUZy1DbWgmEZPXgEggIDBTFra2tU1/O1QkkyZc6Mpi2aieLD+g8WrfFMybwZs/Hh/QdBzDObFxo0aaSRHHVl1ODhcueiDl07Yf6yRRJkpHvPnjxF0zqNEBgQIIg7ODri75NHkJdrfHWiR99eMDc3F8S2bdyCB3I+i5CSTx8/YtEc8X7vHbt1Vjs/XShRqiRK/fI5i4iICIwdNlrhPsYMHSV6/1K+UgUULV5MIznqQq8BfUWxNctW4tmTpwq1f/r4CdYsWymK9xnUX+3cSLdiY2PRtW0nnD4p3pN57OTxGDR8iARZ6d7VS1fQvllrRP3y2UIPTw8c/vc4MmfJotXx+V6GiIiIiIiIiIiIiIiISHUN21cSxY7suISoyGicOnhdEM/i6YpSlfMr1X8GNydR7OJxX6X6eHb/LdbN/kupNpqSv1g2UeyvzeeU6mP20E2IiohWafyuwxrD3EL4d8uDm86Jzg0ZriadqsLSWrhm6eHtlzi87YJC7aMio7Fw9HZRvGWPmjA1TR97YpuZm6JZ1+qi+MLR2xEVqdjv1qGtF/Dw9ktBzNrWAk06pp99FVkLrIWfbV92HGtmiD/3U75WYczZOgAmJsYSZKU7rIVEnBfIUMTHx2Nij9UI/B4iOta4Q2UJMlJNgRI5UKhUTkEsKiIaC8fsULiPhWN2iN47FCufB/mKit+X6Ks2feqIYrtXn8Lrpx8Vav/6yQfsXn1KFG/br67auekKayERa4GIiIiIiIhIcUZSJ0BERERERERpO3n2LBYsXyGKly9TGvevXsbJA/uxYPo0jB48CCvmz4PvxQs4vm8PMmfMKHh+XFwcOvfph6/fvukq9WSfPn9Bt/4DEB8fL4hnzpgRx/ftgff5c1g+by5GDx6EhTOm4dTBA7h35RLKlykt6mv2osU4fUGxhUr6ZuKs2bh646Yo3rNzJ7y+44PdG9Zj+rixmDBiODYsW4pXd3ywZPYs0WZUX75+Q4eevRXeHFSTDKEeNcXJ0RH9e3THxeNH4f/iOU4e2I+VC+Zj8uhRGDFwAGZNnIBje3bD7/49TBkzGmZmZqI+Js+eg39On5Ege8OoR20yMjJCvty5dT6u78Xz+P7qhUr/9esu3thaFzjHp83B3h5umTNLnUaaOMf/R8o53tTUFLWqVcXCGdNx+9wZfHvxDFdP/oMNy5Zi5oTxGDVoIEYOHIgZ48dhz8YNeHXHBycP7kfxwoVFfQUEBqL7gEGIi4tT5WVQS5+hw/H81StBTCaTYfzwYXh9xwdbVq3EpFEjMWXMaGxdvQpv7vpi3LChon4eP3uGAaPEG3amdyYmJsiTM2faT5RYeHg42nbvLtrM2dbGBjvWrsGjG9ewZvFCjBkyGHOnTMahndvx3PsWmtSvJ+prx7792LRjp65S16no6Gj0HDREcC10cnSUMCMxXq8TGcI9MK/Xirl07TrWbN6S/FjfficBYO3mLdj799+ieJP69fDs9k38vWMb5kyehLFDh2DtkkV4fOM6dqxdA1sbG8Hzw8LC0fbPHgp/oQ0RERERERERERERERGRIWlUpRIc7WwFsZ3/nMTf5y4gMCRUEO/QoC5kMplS/RfKmUPU/+HzF/HvtRsKtb/79DmaDByOqGjVNodWV5OqlUU/88o9+3H36fM02yYkJGD8slU4eFq5zbB/lsXVBX1btxDFe0yZgY1/HVa5X+9HT9Bp3CSFzwNJx8neDv3aiGtg1OJladZhfHw8Bs9diOd+7wRxRztb9GvTUqk88jRuActSFQX/TV+7Qak+1DGwfWvY//L3/ud+7zB47kLRep5f3X36HKMXLxfFB7RtDQdbWzkt5Nt25LjoNbAsVVHh9oaCtcBaAIBa5cqgbOFCglhUdDS6TpiCH0HBqbb9ERSMbhOniq7tlYoXRdVSJRTO4e3HT3LPw0VvH8V/EBUVzp0LpQsVEMVHLV6u1LX15oOH6DFlhiieNWMG1C5XRqE+pq/dIHoN8jQWXze0JY+XJ1rVrimK95o2C28/fU61bWRUFHpMno7vQUGCeA73rGhbT7whamrk1cK2I8eV6iO9k7IWujZpCCMj4fY7QaGhaDF0JL4HBqXQSijp3vnoxcuiY50bi/tPidTXKX0g5XVq3LKV2HHsH8TGxqrcx4aDhzBg9nxRvGbZ0qhYrIjC/dTu1V/0GvSYLJ5zDdlFbx+5tfD24yepU9MpKWshMioKLYaNxo37D0THlo4eho6N6mt1/H+v3cDQ+Yvx/stXldrfevgIDfoPkXt/N61fb4XnZiIiIiIiIiIiIiIiIiKpNGjSEA6/7Ju0Z/tOHDl4CEGBgYJ4u07tlV4nXbBwIVH/R/8+jNMn/1Wo/b07d9G8fhNERUUpNa6mNGzaWPQzr1m2Evfu3E2zbUJCAiaNmYC/9x9UefzMWbKg14C+onifrj2wed1Glfv1ue2Nbu06K3weiAplzwt7YyvBf7OmTNfZ+P2HDIC9vb0g9uLZcwzrPzjNtbH37tzFuBFjRPG+g/vDwcFB4Rx2bN4meg3sja0Ubq8uJycn9B4ong/GDh+d5pwUHx+PYf0H48Uz4dp6B0dH9BnYT6k8WAvS14LUOrRoi8sXLqncPjIyEgN69sWeHbtEx4aOGQFLS0uF+5J3HnZs3qZybsoaOX40TExMBLHLFy5hzrSZabY9++8ZLJqzQNznuNEwNjZWOIdZU6aLXoNC2fMq3F5dU8ZNxJrlq0TxVu3aYNnalUrfO6pKylp48/oNmtRuAP9f9ly1s7PDwX8OoXBRxdd1qkPqWtAHmTJnRs/+fQSx6OhodG7dAR8/fEizfVBQEDq1ao/AgABB3N7BAb0VvF6+ffNWbj1eOn9R8R9ETWMnTxDFdm3bodDvxI7N27B7u3hf7zGTxiuVQ5+uPUWvQYPqyn3+QR0169RCmfJlBbGoqCh079gVP378SLXtjx8/0KNTN9F70IpVKqFK9aoK56APtaAPpKyF+Ph49OnaE0f/Fn/GeOjo4Rg1YaxO8pC6Fnxue6N14+YIDw8XxLO4ZcHh0//A3cNd6znoy3sZIiIiIiIiIiIiIiIiovSoaoMSsHO0FsSO776Ms4dvIyRQ+HfAhu0qKr1eJ1dBD1H/547cxtXT9xRq//TeW/T/Yy6io2KUGldTqjUqKfqZd68+haf33qbZNiEhAUsn7sbpv8TfPa0o18yOaNNb/Hfwyb3W4OAm1ffafuTzCmO7Llf4PJB07J1s0LaPuAYWjt2RZh3Gx8djztAtePtCuCepnaO13D5T07DAYJSw7SD4b83MA0r1oY4O/evBxl64lvbti8+YM3RLmut7n957i0Xjdoji7frVg62DtZwW8h3eflH0GpSw7aBwe3WxFhKxFoADG89g0VjxOrxSVfJj/s7BMDUzkdNK81gL0tcC5wX9IXUtSG1o64W4cU6836siwkIiMKbLclw4Lt7PvlqjkihcJpfCfX18+03uebh96ZFKuami9/jmotixXZdxeHvaazoPb7+IY7vEe4L3GifuMzWTeq0RvQY96+nuc1nlaxZGkV/OW3RUDMZ3X4mgH6EptEoU9CMU43usEr3/K1ExL0pXEX8XQUpYC4lYC/pRC0RERERERESK4LcOERERERER6bno6GgMHDUaCQkJgnidGtVx6sB+5M0lf4FD7WrVcOmfY/B0F27C5P/9O8ZO090fcJOMnjIFP37ZBM/T3R2X/jmG2tWqyW2TL3dunNy/D7WrC48nJCRg0KgxiImRZpG3qp48f45FK8WbW04YMRwrF8yHs5OT6JiZmRn6df8Th3Zuh6mpqeDYpWvXsH3vXq3lK4+h1KO68ubKha2rVuLdg3tYPGsmypcuLTo/P7O3s8O4YUNx/uhh2Nnaio4PGzde5/VsCPWoSTKZDDmzZUPrP/7A3CmTcebQ3/jx6gXuXxUvpCExzvFCtjY2qFSuHAb36Y3ta1bj8Y3r+PbiGbp1aC91aqniHJ9I6jl++ID++PTkEf7ZtxcDe/VE0UKFYGSU+v+VL5PJUKNyZVz79yTaNGsmOn77zh3sOfiXwjlowpmLF7HnL/GY65YsxuTRo2BjYyM6ZmNjgyljRmP90iWiY9v37sOFK1e1kqsuGBkZIX+ePOjYuhWWzJ6FyyeOI/DNKxzbu1vq1NI0e8lSvHz9RhBzsLfH2cOH0LrZH3Lr093NDfs2b0KXdm1Fx0ZPmSq6ZhiCWYsW49HTp8mPK5cvjwa1a0mYkRiv14ZxD8zrtWKioqLQe8hQwes0d8pk6RKSw//7d4ybPkMU79KuLfZt3gR3NzfRMSMjI7Ru9gfOHj4Eh1++0ObZy5eYt2y51vIlIiIiIiIiIiIiIiIi0lfmZmZoVUf4N/qPX79hzOIVgphMJkOHBvWU7t/Y2BgtatUQxBISEtBm5DisO/A3YmNj5bYLj4zEnI1bUKNHX3z+/h0AkMnFWenx1eWZJTOqly4piEXHxKBh/yH453LK63EevniFpoOGY8HWxI0znX/5G6UypvTpiSoliwtikVHR6DdzLhoNGIrzt7wV6uf5Wz/M37IdFTp1R8XO3bHv1BnEpPD6k34Z2bUTvLJkFsQCQ0JRu1d/7Dt1Ru4mru8+f0GbUeOw5fAx0bHp/fvA2UH1mpSCq6MjpvbrJYpvOXwMbUaNw/svX0XH4uPjse/UGdTq1Q+BIcLN83K4Z8Xwzr/PpqOGhLWgPxaPHAqzX9aE+T55hho9+uL2w8dy29x++Bg1evSF75Nngri5mRkWjRiqtVy1YXq/3qJYdEwMmg4egTFLVuDrj5TXegaGhGDW+s2o1bM/QsLCRccn9uoOC3NzjearTTMH9YOjnXAduN+nz6j2Z2+cuXFLbpunb96ifr/BOHXthiAuk8nk1hbpt/w5sqNDg7qiuO+TZyjTviv2nTqDuLi4FNvfffpccO/8M0c7W4zownk6vXj29h26T56BfE1bYdSiZbh+70Gq5z5JTGwsjl+6gtq9+qP/rHmiNpbm5lg4fLCWsibSjtjYWLQfPQEXbos37583dCC6N2uq9RwioqKwas9+FPijNVqPGIu9p07Lvff41dtPnzF8wRLU7NEP7z5/ER1vXLUyGlapqI2UiYiIiIiIiIiIiIiIiDTK3NwcLdu2EsQ+fviIcSNGC2IymQxtOym/PsHY2BjNWgm/qDghIQEdW7TFhtXrUl4nHR6OeTPnoG7lmvjy/7/JZcqcSenx1eXp5YmqNaoLYtHR0WhapxFOHvsnxXaPHjxEiwZNsXjuAgCAk7Pqa7wnTp+MStWqCGKRkZEY1Ls//qjbGBfOnleonxfPnmPR3AWoWqYiqpWphAN79iE2ne3xRr8vF1dXTJwxRRTfvmkrOrZoiw/v34uOxcfH48Ce/ahftTaCAgMFx7LnzIEho4ZrK12tGTZmJDyzeQliQYGBaFCtDg7s2S93zfz7d+/RsUVbbN+0VXRsyqxpas1PUmAtSO/i2fNoUL0OKpcqj4Vz5uPFs+cKtQsKCsLWDZtRumBxbN2wWXQ8T768GDhssGaT1bK8+fOh35CBovisKTMwuM8A/Pj/Z71+Fh0djXUrV6NVo2aivVbLVSyP9l06ai1fTVs4Zz4Wzp4vijdp/gdWb16X5l7XhuDTx49oXKs+Pn74KIhbW1tj39G/UKJUyRRakraMnjgWXtmzCWIvnj1HrQrVcOSvQym2u3LxMupUqoGbv6zdB4Dpc2fCXo3PPepa9Vo18EfL5qJ4v+69MWvKdISFhYmOhYaGYubkaejXXfwZkJZtW6PyL+9H0oP5yxbBzMxMELvrcwd1K9eE963bctt437qNupVr4q7PHUHc3Nwc85Yu1FaqpCXD+g/G3p3ivfn7DuqPSTOmSpCR7j1++AjN6zdFcHCwIJ4hYwYc/vc4sv0yX2oT38sQERERERERERERERERqcbM3BR1W5YXxL5+DMCiscL96GQyGRq2q6R0/8bGRqjVrKwglpCQgBHtl2D/hjOIjZW/P1pEeBQ2zDuEP2tPxfcvQQAAl0wOSo+vriyerihdrYAgFhMdi76NZ+PSCd8U27149A4Dm8/DlkVHAQD2TjYq59B3UkuUrJxfEIuKjMGMgRvQr+kc3LzwUKF+3j7/hM0Lj6BjlQnoWGUiTu6/jtiYtPenI+l1G94Ybl6uglhIYDh61JuOUweuy/2b+Of33zGi/RIc2nZBdGzAlDZwcLYVxfWZo6sd+k9uJYof2nYBI9ovwZcP4vWU8fHxOHXgOnrUnYaQQOG+b+45MqLL0EZay1dbWAushX/2XsXsIZtF8aLlcmPRnqEwtzATNzJQv3stJOG8QPrA+8oT9G08G23Lj8WmBYfh9+Jzmm2io2Lw1+ZzaFt+LE7/dVN03N7JBoNntNNGulpVtnoh1GpWRhSf2ncd1sw8gIiwSNGx8NBIrJ5xAFP7rhMdq9uqPEr98l4gPRi1sAtMzUwEsSd33uDP2lPx0Pul3DYPvV/iz9pT8eTOG0HczNwUIxd01laqWsNaSMRaICIiIiIiIlKMSdpPISIiIiIiIilt3b0HL1+/EcRcnJ2xecVyWFhYpNrWy8MDa5csQp1mLQTxbXv2YsyQwciRTTebND19/gK7DhwUxdctWQwvD49U21paWmLziuUoVKESvv/48V+fL15g5/4D6Ny2jcbz1ZYZ8xeINumsXL48Jo4ckWbb2tWqYeTAAZixQLhh3LR589GuRQsYGxtrNNeUGEI9qsPT3R0bli1Fh1YtVXrNSxcvjq2rV6Fpe+FG+M9evsSJM2fRqG4dTaWaJkOoR3XZ2dpixoTxKFG0CEoWLQqHdLQppz7hHJ+ofq1aqFapIkoWK4Y8OXOmy02LOcfrxxxfunhxpcdOYmxsjI3Ll8Ln7l08eylcJLfnr7/RrmWLFFpq3uTZc0Sxjq1boUu7tmm27dKuLc5fvozte/cJ4lPmzMXZw39rKkWty5olM+ZPm4oSRYuieOFCsLa2ljolpQUEBmLp6jWi+PxpU1GscKFU2xoZGWH53Dm4euOmoB6///iBZWvXYdKokRrPVyoPnzzBnCVLkx+bm5tj1YL5mLNkiYRZCfF6ncgQ7oF/9+u1oqbNX4CnL14kP65SoQK6tGuL7gMHSZiV0OLVaxDwyxfL5M6RA8vnzknzXrJY4UKYN3UKegwaLIgvWrkKA3v1hL2dnYazJSIiIiIiIiIiIiIiItJvnRrVx5p9wr+Lf/4u3BCycoli8HLLolL/o7p1xs7jJxEWEZEcC4+MxMDZ8zFz/SbUKFMKObJmhbm5GfwDAvHk9Rucv+WNiKio5OdbWVhg+ZgRaDFstEo5qGPGgL64cLs7YuP+2wjaPzAQzYaMRIEc2VGlZHFkcnFGXFwcPn//gat37uL+8//WexgZGWH9lPH4Y3Daf1+Xx8TEBDtmTUPNnv3w5Je/eZ++fhOnr9+Eq6MDyhYphOxubnCyt4OxsTGCQ0MRGByCZ2/f4d7z5/gRFCx/ANJ71paW2DZzKmr16ofIqOjkeHBYGDqNm4Spa9ahSoni8MycGYGhIXj6+i1OXr0uqNkkLWvXQLc/GusyfY3p2eIPnL/tjb/OnBfEj5y/hBOXr6FOhXLI4+kBOxtrvP34CRe8ffHy3XtRP1YWFtg+ayosLcx1lLnmXLlzF82HjEr1OcFhYaJYqXadYSRLeT3F4lFD0aZubbXz0xXWgn7UQpE8uTB7cH8MnbdIEH/y+g0qdemBckUKoVjePMjk4ozP/t/h8/gprt+7L7ev+cMGokDO7AqNqy8qlSiGMX92wawNmwXx+Ph4LN6+Cyv37EfpggVQPF8euDg4ADLgR1Aw7j17juv3HiA8UrypKQC0rVcHHRrW0/4PoEFZXF2wduI4tB45VrCZ9qdv/mjYfwiK5M6FsoULwi1jBvgHBOLBi5c4d8sbCQkJor6GdWqPmmVL6zJ9jSnVtjPeff6S4vHI6GhRbP6WHVi+a5+cZycqX7QwDi6aq5H8tG3OkAHwefwUD14I1+F/+PoVncZNwogFTqhQvAhyumeFg60tIiKj8MnfH9fvPRC1SWJibIyNUyfCMZ2t6Ws2ZCSu3rmX4vHoX9biAsCek//iyIVLKbZxz5QRt3Zt0Uh+uvD+y1cs3bkHS3fugaW5OQrkzI4CObLD2cEe9jY2MDUxQWh4BH4EB+Pxq9e48+QZgkJD5fZlaW6OfQtmI5dn6mu29dGg2fOx5+TpFI/Lu1+/evc+MlWrm2q/n8+dUDs3XfH7/Bml23ZJ9TmhP/1/BUmaDRkFk1TWlw/r3B4junRUNz2tunb3Po5fviqKy2QyTF+7EdPXblSr/9Z1amLJ6OEKPTc6JgaHz1/E4fMXYWRkhJzuWVE4dy5kcXWBvY0NLC3MERwahq8/fuDG/Yd49Oq13Os0AJQrUgibp01SK3ciIiIiIiIiIiIiIiIiXWrfpSPWrRTuBffllzUeFatWhlc2L5X6HzFuFPZs34Wwn9ZrhYeHY2i/QZg7fRaq1ayB7Dmzw9zCAv7f/PH00WNcPHcBET/9rdTKygqLVy1Dm6YtVcpBHVPnTEe1MhcQGxubHPvu749WjZsjf8ECqFytCjJmzoS42Fh8+fwF1y5fxYOf1oEZGRlhzeZ1aNmomUrjm5iYYOue7ahbpRaePn4iOHb239M4++9puLi6omz5svDKkR2OTo4wMTFBcFAQAgMC8fzZc9y/cw8BP+3vRunLtctX0bpx81SfExwsXgdfoWjpVPcaW7B8MVq2a612frrSvU9PXDx3AYcO/CWIHz10BCePn0DtenWQK28e2NrZwu/NW1w6fxGv5Ky7srKywubd22Bpaamr1DXG2toam3ZtRf2qtRH50xrL4OBgdGvXCTMmTUWlqpXh4eWJoMAgPHv8BP+eOCWYv5I0b90SXXp002X6GsNa0I954a7PHdz1uYMpYyfC0ckJhYoWRq7cueDg6AC7/+/BHhIcjC+fv+Dh/Qd4cPc+ouWsEwUAr+zZcOD4IZiZmSk0tj6ZMG0Srl2+gpvXbgjim9ZuwJ7tu1CnQT3kyJUD5ubmePv6DU6f/BefP30W9ePi6or12zdDJpPpKnW1TRk7UW787KnTyOaaVa2+s3q44+qdm2r1oQtb1m/C218+xwYA0dHRaKXivd/P0tu1et/OPRjWf7DS7TycMqd6fM/hAyhXsbxCfdnY2GDr3h2oV6WW4P3H+3fv0aFFW3h4eaJ6rRrI6p4VRsbG+PzxEy6eu4Anjx7L7a9rzz/R6c8uCv8s+mLx6mW44+OL1y9fJccSEhIwe+pMrF62CnUb1INXdi8kJCTgzas3OHHsHwT9snctAOTMnQsLV+rP3tfKKFy0CGbMn4URA4cJ4k8fP0H1spVRtkI5FC1eDBkzZ8KXT5/h6+2DG1evy+1r9qJ5yF+wgC7S1ri0fr/Cw8NFsWH9B2PM0JT3dW/RthUWrtDvuvB764eNa9bLPbZj8zbs2LxNrf7LViiHvUfE+7Drm2ULFuPHL5+DB4CgwCDUKFdF7f6VmZ/5XoaIiIiIiIiIiIiIiIhIdY07VMbetf8KYt+/BAkel6iUD25eGVTqv/vIJji++zIiwv7b4zoyPAqzBm/Cutl/oUy1gnDPkRHm5qYI8A/BqycfcOviI0RF/LcezMLKHOOWdMOQ1gvlDaFVg6a1RceLExEX+99+ZYHfQzC45QLkyJ8Vparkh0tGB8TFxeP7lyD4Xn2K5w/8kp9rZCTD1LW9MajFfJXGNzExxpytA9C9zjS8fvpRcOz6mfu4fuY+HF3sUKRsLmTNlhH2jtYwNjFGaHA4ggPD8Pb5Jzy754egAPl7zJH+s7S2wKzN/dGj7nRERf63h2JYcATGdFmOVdMyoWTlfMjs4YrQoHC8fvoBV/69J6jZJHValEWzrtV0mb7GtOxeE7cuPMKZv4Vr/84f9cblk3dQoXZReOXODBtbS3z088ftS4/w7qV4b1ILK3PM3jIAFpbpb00payHR71wLK6fuQ3y8eH/Cp/feom6egWr3f+H9WrX70KXfuRaScF5INKjFfNy5/izF4zHR4nViJ/Zdxflj3im2yZTVGXuuz9JIfrrge/UpBrdakOpzwoLF+862KTcGslQ+AzJ6YRfUa6XYOr5n9/3w7L4flk/eC0cXO+Qu7AGvXJlhY28FG1tLREfHIvhHKJ4/fId7N18gMjxKbj8WVuZYsn84smZT7f2H1MYt6YbHd17j/auvybGEhASsnfUXdq8+hUp1i8HNyxUJCcCHN19x6YQvQgLF6209c2bCmEVddJi55uQp7IkhM9th7vCtgvjrpx/RqeokFCmbG/mKecElowP8vwTisc9r3L3xXG5fw+d2QM787rpIW+NYC6yFJFWy9kz1uLz5cPbQzVgwenuKbeq2LIcxi7qqnRsRERERERHpBxOpEyAiIiIiIqLULVu7ThSbNGoEXF1cFGpfo3JltGjSGPsPHU6OxcXFYfm69Vg0c4bG8kzNivXrBV94DwAtmjRG9cqVFGqfwdUVk0ePxICRowXxJatXo3PbNhrLU5s+f/mCfT+dgyTL581ReJPOccOGYsuu3Xj/8b9F3a/evMWREyfQtEEDjeWaGkOoR3V0addW7T4a1qmNGlUq48yFi4L4kX9OoFHdOmr3rwhDqUd1OTk6YtQg9RfA/u44xydq0aSx1CmojXO8YczxZmZmGNK3D/oMGy6IX7p2TSfjA8Bt3zu4dvOWIGZpaYn506Yq3MeC6dNw4MhRwZe5XLx6Fb737qNY4UIay1WbcmbPjsF9ekudhlo2bt+B0J82wAaAUsWLK/z7YmFhgfnTp6Fx23aC+KqNmzB26BCYmppqLFepxMfHo+fgIYIvJxg5cADy5MopYVZivF4bzj3w7369VsTdBw8wf9ny5Mfm5uZYOX+ehBmJRUdHY+3mLaL4/OnTYGFhoVAfXdu3w9otW3HLxyc5FhwSgk07dqb76w8RERERERERERERERGRsorny4uCOXPgwYuXKT6nU6P6KvfvlsEVG6aMR7vRE0R/f//s/x07jp1Itb25mRm2z5qK/NmzqZyDOorkyYUp/Xph3NKVomMPX77Cw5++HPxXMpkMy0YPR90K5dTKwdnBHhc2rkH3KdNx5Pwl0fFvAYFy42Q4ShbIhz1zZ6LNyHGIiBJufPbC7z1e+L1Ps496Fctj/eTx2kpRJzZNnYiw8AicunZDEI+JjcXRC5dwNI32VhYW2Dt/Formya29JLUoLi4OQaHKb1QfEibeJPFnMTHiTV/1HWtBP2qhT6vm+BEUhOlrN4qOXbt7H9fu3k+zj8l9eqB7s6ZKjasvJvbujtCICCzbuUd0LDomBpd97+Cy7x2F+2tavSrWTByj8Jo8fdKwSkWsHDcS/WbOQ1yccOPsu8+e4+4z+RuV/qxb00aY2q+XtlLUuuCwMKV/L6OioxH10xraX4WGp/47q08cbG1xaOkCNB4wVO798ZcfP3Dw9DmF+7MwN8Oq8aPVvo+WQmh4uNK1EBMbm2ob+zAbddOSTERUFG4/fIzbDx8r3TZLBldsnDIBVUoW10Jm2hceGaV0Lah6jddXCfEJKv08YRHizfh/ltrcqS8SIP5CEiBxg3NNnOPwSPlfEJCW+Ph4PHvrh2dv/dJ+8i+a16yOFeNGwtLCXKWxiYiIiIiIiIiIiIiIiKRQrERxFChUEA/vP0jxOR06d1S5/yxublizZT06tWovXif96TN2bduRantzc3Ns3r0NeQvkVzkHdRQuWgQTZ0zBxFHjRMcePXiIRw8epthWJpNh0cqlqF2/rlo5ODk74/TV8+jTpQeOHjoiOu7/7ZvcOBmG2NhYBAUFKd0uJCQk1ePR6WBtwa/WbduIsNBQnD75ryAeExODY4ePAodTXx1rZWWFHQf3oEixolrMUrtKlCqJHQd2o0OLtoK9VAHg5fMXePn8RZp91KlfF6s3i/cbTE9+91rQt3kh4McPXDx7HhfPnle6bamypbFp1za4e7irNLbUTE1NsffIQTSp3QB3fe4IjoWHh+OvfQfS7MPZxQV/nTiMrO5ZtZSlbqVVZ4qwD7bXQCbal5Agfw1cTEyMSr+jv0pv1+ro6GiVfu602sTGKvcZjiLFimLvkYNo27QlgoODBcf83rzF5nXiz3bI071PT8xZPF+psfWFg4MDDp06hoY16sLvzVvBscCAAOzevjPNPryyZ8PfJ4/Czs5OW2lqXc9+ffDj+w/MmiLeC/n6lWu4fiXt/fTHT5uEbr26ayM9nVDldzIiIkJ0nyk4Hp76GmZ9kNL8DKj2mvwq7Jf99PVVSi9DVFQUoqJUW2f9M2XnZ76XISIiIiIiIiIiIiIiIlJNvmLZkLOAO148fJficxp3qKxy/xmyOGHq2t4Y1XEp4uOFf2j0/xyIY7sup9rezNwUs7f0R4580qx/ylPYE/0ntcSSCbtFx14+eo+Xj1Lei1gmk2HM4m6oWKeoWjk4ONti89nJmNRrDc4f9RYdD/APlhsnw1GgRA7M3zkYw9svQVSEcN2X38vP8Hv5Oc0+KtYpiilr0vf3RE9f3wcRYZG4+u89QTw2Jg4XjnnjwrHU21tYmWPBrsHIW8RLe0lqGWsh0e9aCymtW4oIU3+tTnr1u9bCzzgvABFhkQgNUm7/6NiYuFTbhNlbqZuWTsXFpf7zpCQsJDLV4zHRqn1vQoB/MG6cfYAbZ1P+PKk8WTxdMX19HxQqlVOlcfWBrYM1Vh0eg14NZuLj22+CY8EBYWm+/wEAt2wZsOLwaNjYpa86/FnrXrUR9CMUa2YeFB27e/0Z7l5/lmYffSe2RPNuNbSRnk6wFhKxFqDS/BwVES26rv8sMjx9fR6IiIiIiIiIUmckdQJERERERESUMt979/HwyRNBzNraCh1atlKqnx6dO4lie/76S+lNllQRExODPX/9LYr36tJFqX7at2wJa2vhH7DvPXyE+48eqZGd7uw+KH69K5Urh/x58ijch5mZGTq1bSOK79i3X+38FGEI9agvWv/xhyh2y9dHZ+MbQj2SfuAcbzg4x2uO1HM8ANSoIv4gXnBICEJDQ3Uy/o59+0SxFo0bwdnJSeE+nJ2c0KxhA4X6Ju2R93r36tJZqT7q1qgOT3fh5vz+37/jxJmzauWmL5avW48bt//7YGWenDkxevAgCTMS4/U6kSHcA/N6nba4uDj0GjxU8LOMGjQQeXLp14dEjv/7L34EBAhiXh4eqFdTuUXrPTqJv2htJ9+TERERERERERERERER0W+qY6P6KR6ztbZC0+pV1eq/SbUq2Dl7GuysrZVq55E5E/5ZuQT1KpZXa3x1De3YDnOHDISxsbHCbZzs7bBn3kx0+6OxRnKws7HGnrkzsWzMcLhnyqhWXzZWlujQoB4K6dnfgyl1tcuXxdkNq5Avm5dS7UyMjTGya0fsmz8LZqamSo8bFxeHgOBgUbxgTt3Xj7mZGQ4umovhnTvARInfRwDInz0bzm1YhRplSqk09tdf1ioAQMGcOVTqK71iLSRiLQiN69ENm6dPgpO9nVLtnOztsHXGFIzqpty6yiTyzoOFuRlyenio1J+q5g4ZgIOL5iJLBleV+7C3scGq8aOxa850mJqYKNX22w/x61BIonrs3LghDi+Zj6wZMyjVzsrCAvOGDsSKcaMgk8mUHvernNcAAArkzK50X+mZPtRCFlcXXNm6HoPat1F6bv5ZyQL5cG3bRrSpW1updvp0nZKSlNcpVwcHjfRjbmaGPq1b4M7eHahSsrhKfXwLCBTFCub6va7X8ubHjE5OyKDEZ1MMAWtBfe6ZMmLDlPHYPmsq7G1spE6HiIiIiIiIiIiIiIiISGntu4j3GUpia2uLxs2bqtV/oz+aYOveHbCzU24NlYenB46c/gd1GtRTa3x1DRo+BLMWzlVqnbSjkxN2HNiNLj26aSQHOzs7bD+wG4tWLoW7h3vaDVJhY2ODdp06oGCRwhrJjQxbXFwcAuSssShQqKDOczE3N8feIwcxZNRwmCi5ljBfgfw4dfksqtdS7cvDv337JopJ8RoAQM26tXHy0hnkzZ9PqXYmJiYYNmYEdv29D2ZmZkqPy1pIpE+1IAUXNdYD/8zZxQXzli7AqUtnVbquffv6VW48f6EC6qamNEdHR5y4cBodUrmfSknZCuVw/uZlFC5aRKWxv339vesR0K9akBJrQahilUo4d+MSSpQuqXRbZxcXLFu7EguWL1b6GuMvpx4tLCyQM7fu12p7enni/I1LqKvCe6n6jRrg3PWLKr/vkPd7KVU9jp44Dhu2b4ajkmuDHZ2csHHnVowYO0qlcfWpFqSkT7UgFdaCkFTvZYiIiIiIiIiIiIiIiIjSu8YdxN8jn8Ta1gLVm6i2b2iS6o1LYc62gbC2s1SqXWYPF6w+OgaV6hZTa3x1dRrcEMNmd4CxsZHCbewdbTB/52A061pNIznY2Flh/s7BGLukKzK5O6vVl5WNBRq2q4TchXS7byipp3ytItj470Rkz+umVDtjE2N0G94YC/cMhamZcuuVACAuLh7BAaGieK4Cuq8fM3NTLN43HF2GNoKxiXJ7bebIlxWbTk9E2eqFVBo74Jt4j82cBdT73IWqWAusBamxFhLpUy1wXpCWPtVCemVmborm3apj19UZKFI2t0p9/JBzHswtTOGZM7O66Skti6crtp6fqtL7mCr1i2PruSnI7O6i0tgB/nLqsaA0v5M9xzTDjI19Ye+o3B669o42mLW5P/4c0USlcVkLiVgL+lULRERERERERKlR/K/QREREREREpHNHTpwQxZo1bAhbW+X+AFq9UiV4ZM0qiH395o8b3t5q5aeIqzdv4fuPH4KYp7s7qlasoFQ/dra2aFq/vih+5MRJtfLTFXl5dm7bRul+OrdpLYqdOncO0dHRKuWlDEOoR31RKH9+UeyznA03tcUQ6pH0A+d4w8E5XnOknuMBIEumTHLjIaFhOhn/6Enx726nNspfZzrJuTYd5bygM37v3+Pew0eCmKWlJVo2aaxUP0ZGRmjfqqUobgjn8u27d5gwc6YgtnLBfJibm0uUkXy8XicyhHtgXq/TtnjVaty+cyf5cd5cuTB68CDpEkqBvHrs0KolZDKZUv20/qMpLCwsBDGfe/fw4dMntfIjIiIiIiIiIiIiIiIiSo/a1qsN0xS+pLt5zeqw+uVva6poUq0Kbu/eij6tW8DW2irV5+bycMfMgX3hu3c7yhVRbcNJTRvQrhW8d2/FHzWqwsI85S/NdbK3w8B2rXFn3w40qlJJoznIZDJ0b9YUD//agzUTxqBO+bJpvpZJvLJkRtcmjbBt5hS8OXEY6yaPg3umjBrNj7SvaJ7cuLFzM5aPGYHCuVL/4mtbayt0btwAt3ZtwZS+vWBsrNymr0luPXyMkLBwQax4vrxoWr2KSv2py9jYGNP698atXVvQqVH9NH8HiuTOhRVjR+LGjk0onDuXyuOevyVeGzKlb0+V+0uPWAuJWAtirevUwr39uzC6W2dkyeCa6nPdMmTA2O5dcW//LrSsXUPlMc/fFJ+HXi2aIYurahuAqqNexfJ4cmgfts6YguqlSyp032RmaooyhQpi+ZgReHn8L3Rp0lClsc/9Uo9GRkaY1KeHSn1pQvUypXBn3w7MHNgXOT2ypvpcFwcH9G/bCnf27UD/tq1UHvPcrduiWNPqVVE8X16V+0yP9KUWzM3MMHtwfzw9cgDje3ZD3mxeCq3tc7a3R6s6NXFq9TJc2rwOebN5KT22vl2npCLldWrl+FF4cng/lo4ejpa1a8Ari+IbCFtbWqJisaJYNGIIXv/zNxYOH6zwe51fffL3x5PXbwQxtwwZ0KvFHyr1l17Jq4VRf3aGpYV+rdfXpt+9FupXLI/zG1djar9eqF+xfJr3aT9zcXBAw8oVsXvuDDz+ey/a1a+rxUyJiIiIiIiIiIiIiIiItKt1+zYwNTWVe6xpy2awslLt79M/a/RHE1y7dxu9+veBra1tqs/NmTsXps2diRsPfFCmfFm1x9aEvoP64/q922jS/A/Rnkw/c3RyQv8hA3H7kS8aNGmk0RxkMhm69eoO32cPsGL9atSqWzvN1zKJZzYvdPqzCzbt2oZnH19j1aa1yOqe+volIgDwvnkbISEhglixksXRuFlTSfIxNjbG5JlTcfXOTXTo0jHN34FCRQtjyerluOxzHYWKFFZ53AtnzotiE6dPVrk/dRUpVhSXfa5j8aplKJTG50lsbW3RoWsnXL1zExOnT1F5zTxrIZG+1YKueT++iwu3rmDC9MmoXa8OnF0UX5fsmiEDGjZphG37duLp+5fo2a8PjIxU+2pDeeehcbOmKFaiuEr9qcvKygorNqzBmavn07xXMDIyQrmK5bFp1zacuHAaHp4eKo974ex5Ud/jp01Sub/0SN9qQSqsBbGcuXPhzNUL2LJnBypWqZTq9U8mk6Fg4UKYNHMq7r18hE5/dlFpzPO/nAcA6N63FzJnyaJSf+pydnHBnsMHcOD4IdSoXRMmKXw2FgBMTExQs04tHPznMHb9vQ9Ozs4qjRkTE4Nrl68KYtbW1hg+dqRK/WlCi7at4PPkLkaMG4UsbqmfC7esbhg1YQx8ntxF89YtVB5T32pBCvpYC1JgLYhJ8V6GiIiIiIiIiIiIiIiIKL2r37oCTEzl/72s5h9lYGml/p5Z1RuXwt4bs9G6d21Y26a+V6RnzkwYNL0t9t2agyJlc6s9tia061cXe27MRo2mpWFuIX9dPADYO9qgff96OOA9F1UbltBoDjKZDM271cDfdxdg0soeqFC7SJqvZRI3L1c07VwVs7b0x6kXyzFlTS9kyqra+g2STt4iXth5dQbGLemG3IVSXxtobWuBJh2rYM+1meg3qRWMjVVbT/nw9kuEhUQKYvmLZ0P1JqVU6k9dxsZGGDClNfZcm4nGHSqn+TuQp7Anxi39EzuvzkDuQp4qj3vzwkNRrN8k1fdwVRdrgbUgJdZCIn2rBc4L0tG3WtC13VdnYtKqnmjcoTJyFnBP8X3Fr0zNTFCgZA70m9QKx58sxdgl3WBjp/pnTG+eF5+Hlj1qwTWzo8p9qsPRxRaL9w3Dsr9GolzNQjA2Sfl1MTYxRvlahbH871FYuGcoHJwV+zznr2JiYuF79akgZmltjj9HNFGpP02o27I8DvrOw58jmyBDltTPRUY3J/QY/QcO+s5D7eaqf+aXtcBaSKJvtUBERERERESUkpQ/oU9ERERERESSO3fpsihWpUIFpfuRyWSoXL4ctu/dJ4ifuXARFcqUUTk/RZy7dEkUq1y+nEJfdP6rqhUrYse+/YLYmQsXMXboEJXz04XIyEhcv31bFK9SobzSfeXIlg3ubm549+FDciwsLBzXbt1WqT9lGEI96gs7ORsMBwUH62RsQ6lH0g+c4w0H53jNkXKOTxIVHS2KyWQyODk6aH3s12/f4vVbP0HMzMwM5Usrv8C7QunSMDMzQ/RPP8+L16/x9t07eLq7q50rpe7sRfEcX7JoUVhbWyvdV9UKFTBzwUJB7MzFiyrnpi/6DBuOsLDw5Mdd27fTy3sgXq8N5x6Y1+vUvXz9GpPnzE1+LJPJsHLBfJiZmUmYlXyaOpfW1tYoWbQoLl+/LoifuXABndq0UTk/IiIiIiIiIiIiIiIiovTI1dERwdfOa30c90wZsXD4YMwd3B+3Hz3B0zdv8D0oGDExMbC2tIRH5kwokjsXPLNkFrX1zJIZEbfEfy9UxNPD+9N+kgLyeHli5+zpiIiMwrW79+D3+Qv8AwORkJAAFwcH5M+RDSXz55P7xbqq5i6PqYkJOjVugE6NGyA2NhZ3nj7Huy9f8CMwCD/+v97K1soK9ra2yJ41C/Jm84K9jY3GxidpmZqY4M9mTfBnsyZ4/+UrfB4/wduPnxEWEQ4TExO4ODggbzYvlMifF6apfFm9os7dFK8bmd6/t9r9qitvNi+smTgWy8eOhPejJ3jy+g38AwMRGxsLGysreGbJjGJ58yBrxgxqjxUVHY2rd+4JYuWLFkb9SsqvV1BH5RLFNTqXKIu1wFpIjbODPSb16YFJfXrg0ctXuP/iJT5+/YbIqGhYmJshSwZXFMqZA/lzZNfIeGd/qUd7GxuM7NpJI32rwtTEBC1r10DL2jUQFxeHBy9e4dlbPwSGhCAwJARIAOxsrGFva4PsWd1QJHcumKu5Nuvd5y947vdOEGtdpxYK5cqpVr/qsra0xJCO7TCkYzu8fPced54+w/svXxEeEQlzczNkdHJE/hzZUSR3LhgZqbap9s9+nZuMjY0xpU9PtftVlqbuN1Whj7WQxdUF43p0w7ge3RAUGgqfR0/w8ds3BIaEIjQ8HGampnCwtYWTvR0K5cqJ7Fnd1B5TX65Tp9Ys1/mYSfThOuWZORN6NG+KHs2bAgACgoPx8t0HvP30Cd9+BCAsMvL/7/+sYGdjBQdbW+Tx8kRuTw+NzAmA/FoY37MbLMzV/9ImZaybPA7rJo/T6Zg/+/Vamc0tC7o30+3m1uq8j9cEKWtBH+7XTExMUKZQQZQpVDA59j0wCK8+fMC7z1/w9fsPhEVGIjo6BtZWlnCwsYGjvR3yZfNCTg9+7oiIiIiIiIiIiIiIiIgMh4urK/wjg7Q+Tlb3rJi7ZAFmLpgDn1veePr4CX78+IHo6GjY2NjA3cMdhYoWgaeXp6itp5cnguLC5fSatvuvnqibOgAgd9482Lp3ByIiInD9yjW8e+uH79+/IyEhAc7OzshfsACKlyohd520qrnLY2pqig5dO6FD106IjY3FXd87eO/3Hj++f0dAQAAAwNbWBvb2DsiWIzty58sDe3t7jY1PulWpamWN1o+yzp85K4pNnjlNgkyE8uTLixUb1mDx6uXwve2DJ48e4/v374iNiYGNrS08PD1QtEQxuGXNqvZYUVFRuH7lqiBWrmJ51G1YX+2+1WFqaoquPf9E155/4sP79/C97QO/t34ICw2FiakpnJ2dkTd/PhQrWRympqZqj8da0J9akHJekMlkKFq8GIoWL5Yc+/jhA968egO/N28RGBiIsLAwJCQkwNbWFnZ2dnB2cUaBwgU1cg6SnPulHo2NjTFx+mSN9a+qkmVKY+veHQgPD4fPLW88e/IUAQEBiI+Ph52dHbJlz4bipUrAxdVV7bHev3uPF8+eC2It27ZGwcKF1O5bEVJem34mZS2MmTQeYyaN18lYqZG6FpK079IR7bt01OmYaZHJZGja4g80bfEHAgIC4HPLG69evkRQYBCMjY3h7OwM1wyuKFG6JDJkzKj2eOfPnBM8tre3x7AxI9TuV10169RCzTq1EBQUBO+bt/HyxQsEBSa+/7N3sEeOnDlRonRJjbxnuHX9JkJDQwWxvoP7a+T1VYeTszPGT52E8VMn4fHDR3h47wE+fvyIyIgIWFhaIkuWLChQuCDyFcivkfH0pRaknKulrAV1/v8DTZOyFlZtWotVm9bqZCxl6fq9DBEREREREREREREREVF65+hqhxs/tmh9nExZnTFyXicMndUej7xf4fXTjwj6EYKYmDhYWpsjs7sL8hT2RBZP8fqnLJ6u8A7ZrtK4Rx8uVjPzRNnyZMHcbQMRGRGNu9ef4ZOfPwK/hyAhIQEOzrbImd8d+Utkh7GxeC83VXOXx9TUBI07VkHjjlUQGxuHp3ff4PP77wj6HoqggMS/pVvbWsLG3gru2TLCK08W2NpbaWx8kpapqQmadauOZt2q48uH73jk8xqf/PwRHhYJExNjODjbInteN+Qrng2mpurviX3j/ANRbMCU1mr3q65sed0waVVPjF3aDY99XuPVkw8I/B6C2Ng4WNlYIIuHK/IV80JGN2e1x4qOisGda88EsaLlcqNyvWIptNAN1kKi36kWNHU9UxdrQfpaSMnvOi+s/Ue69db6UgslK+XX6P2mMjJ7uKBxh8po3KEyACAmOhbvXn3BJz9/fP34A2EhEYiKjIGxsRFsHaxga2+NTFmdkbeoF8zMNbd+7+Yv9Whjb4VuwxtrrH9Vla9ZGOVrFkZIUDgeer+E38vPCA1MXINq42AFjxyZUKBEDo3crz+4+QLhoZGCWLt+deGcQdrPfTo426LvhJboO6ElXj5+j+cP/PD1YwCiIqNhbmGGDFkckaugB3Lk08xnglgLrIUk+lILUs3PRERERERElH6o///WEhERERERkVbEx8fD595dUbx86dIq9Ve+dGls37tPELvte0elvpRxy9dXbi6qkNfO5+5dJCQkQCaTqdSnLtx9+BBRUVGCWOaMGZHNU7xBuSLKly6NPX/9JYjd9vVFlQrlVc4xLYZSj/ri3ccPopiLk5NOxjaEeiT9wTneMHCO1ywp5/gkz1++EsUK5M0Lc3NzrY99y0c8LxQvUlilsS0sLFCscCHcuO0tiN/2vQNPd3eVcyTF3PLxEcXKl1FtXihTojhMTEwQGxubHHvj5wf/79/h4qz+ByyksG3PHpw6+9+GvK4uLpgzeZKEGaWM12vDuAfm9TptvYcOR0RERPLjLu3aonL5chJmJN/Xb9/g9/69IGZiYoLSxVX7IFD5MqVx+fp1Qey27x10atNG5RyJiIiIiIiIiIiIiIiIKG0mJiYoW7ggyhYuKHUqKrG0MEf1MqWkTgNA4mtZskA+lCyQT+pUSAJZM2ZA1owZtDrGuVu3BY9rlCmFaqVLanVMZZjqYD65cf8BwiOFmwNO699ba+PpK9YCa0FR+XNkR/4c2bXWf2RUFK7fvy+IDe3UDk72dlobUxnGxsYokicXiuTJpdVxzt8SrhE2MzXFxF5/anVMZeVwz4oc7prZoDQl5355HTo3qo/cXh5aHVPf6Hst2NvY6OR6oe/XKV3Qx+uUo50dShaw0+n7lXM3hb8Tebw80bFhPZ2Nrw/efvyE1x8+CmITe3eHqcnvtVUWa0HM2cEezg72KFUgv9SpEBERERERERERERERERksExMTlC5XBqXLlZE6FZVYWlqiWs3qUqcBIPG1LFGqJEqU+r3WgJDuXDh7XvC4Ws0aqFqjmjTJyGFqaqr1+eTmtRsIDw8XxCbPnKa18VThljUr3LJqdy0iayF91IIUsri5IYubG8pXqqCzMS/+Uo8dunZCrjy5dTZ+WqysrFCxSiVUrFJJa2NcOHNO8NjMzAxjp0zQ2nj6St9rQRdYC4pxdHREjdo1UQM1tdJ/ZGQkbl4V7ts6cMQQOOl43/jU2Nvbo3qtGqheq4bWxrhwVliPTs7OGDh8iNbGU0W+AvmRT4trRNNDLehCeqgFbWMtKEYX72WIiIiIiIiIiIiIiIiISDkmJsYoXCYXCpfR7l6R2mJhaYYy1fRjP28TE2MUKJEDBUrkkDoVkkBGN2dkdHPW6hi3zj8UPC5TvSBKV9WP+gcAU1MTrc8n924+R2S48DvlB0zRr+/bZi2wFnSJtZA+aoHzgm6kh1rQNVMzE2TP64bsed10NmZUZDTu3XguiHUe1AD2TjY6yyEttvZWKFu9EMpWL6S1MW5eEP5O2jvZoNOgBlobTxU58mVFjnzaW9PJWkjEWkgftUBERERERESUxEjqBIiIiIiIiEi+F69eIyxMuDmotbUVcudUbdFuscKFRbG7Dx6o1Jcy7j14KIoVLaTaH63z5MoJKysrQSwkNBQvX79WqT9d0eRrAADFCovbavtcGko96gt5NZElc2bJxk5v9Uj6g3O8YeAcr1lSzvFJDhw5Ioo1bVBfJ2PffSj++YupcZ0pLqee7vxG9SQlTZ5La2tr5M4hnlPS67n8+u0bho2fKIjNnzoFTo6OEmWUOl6vDeMemNfr1G3cvgPnLl1Kfuzq4oI5kydJmFHK5M19uXPkgLW1tUr98VpJRERERERERERERERERESUsvDISNy4/9/aEZlMhqn9ekmYkTTO3rwteNygUgWULyJec2DIWAuJWAv64eqde4iMik5+nMnZGf3btpIwI2n8Wo9/NmsCL7csEmUjjZfv3sPv0+fkx5bm5hjbo5uEGUmDtcDrVBJepxKdu+UteDy5T08YGxtLlI00fq2FwrlyonWdWhJlIx3WAhEREREREREREREREREREaUkPDwcN6/dSH4sk8kwaeYUCTOSxvkzZwWP6zWsj7IVykmUjTRYC4lYC/rh5YuX8Hvrl/zY0tISoyeOlTAjaZw/c07wuGvPP+GVzUuaZCTCWkjEWtAP1y5fRWRkZPLjjJkyou+g/hJmJI1f63HYmBGws7OTKBtpsBYSsRZYC0RERERERERERERERERERKRdEeFRuHfzRfJjmUyGAZNbS5iRNG6eE36nfOV6xVC0XG6JspEGayERa4G1kIS1wFpIwlrQD3euPUNUZEzyY+eM9mjbr66EGUnjxi/12G14Y9jYWUmUjTRYC4lYC6wFIiIiIiIiSl+MpE6AiIiIiIiI5Hv55o0o5uGWVeX+3OV8yfnHz58Fm0hpWnh4OD59+SKKe7qr8XNkEf8c8l4rfSIvP7VeAzc3hcbQJEOoR32yfe9eUaxKhfI6GdsQ6tHQ7di3H1379UeRipWROW9+WGZ2g2vO3MhTqjQq1W+AYeMn4NDx4wgOCZE0T87xhoNzvGZJOccDwNPnL7B83XpBzMnREf26/6mT8V+9fiOKeWRVvZ6yyrnOyBuDNO+VvLlBjTk+q5y5Ib2ey8FjxuFHQEDy4xpVKqN9q5YSZpQyXq8TGcI9MK/XKfv0+QtGTposiC2YNhVOjo7SJJQGuddKzq9ERERERERERERERERERERaccX3LqJj/tsQrlmNaiieL6+EGUnj3C3v5H8bGRlhSt9eEmYjDdZCItaCfvj5PADAmO5dYGVhIVE20jl/+7/XwcbKEqO7dZYwG2mcu3Vb8LhP6+Zwy+AqUTbSYS3wOpWE1yng2Rs/fPj6NflxqYL50bR6FQkzksav8+PUfr0gk8kkykYarAUiIiIiIiIiIiIiIiIiIiJKzdVLVxAdHZ38uGmLZihWoriEGUnjwtnzyf82MjLCxBlTpEtGIqyFRKwF/XDhzDnB4579+yCLnP07Dd3Fc+eT/21jY4MR40ZJl4xEWAuJWAv64edrBACMHD8GVlZW0iQjkdDQUHjf/G99rruHO3r8hmu1WQushSSsBSIiIiIiIiIiIiIiIiIiItIm36tPERMdm/y45h+lka9YNgkzksbN8w+T/21kJEO/ya0kzEYarIVErAXWQhLWAmshCWtBP/x8HgCgx+g/YGllLlE20ggPjcRD75fJjzO5O6NVz1oSZiQN1gJrIQlrgYiIiIiIiNITE6kTICIiIiIiIvn83r0Txdyzqr4RYcYMGWBubo6oqKjkWEJCAt6+e488uXKq3G9q/D58EMUsLCyQwVX1L553z+qGpy9eCGJv/cSvlT7xe/deFHPPmlXl/uTVgbZfA0OoR31x4cpV3Hv4SBRvVLeOTsY3hHo0dJNmzRbFAgIDERAYiJev3+DazVtYsnoNbG1s0L1TRwzq3QtZs2TReZ6c4w0H53jNkXqOv3brFtp0646IiIjkmLGxMdYtWQRXFxed5PD2vfg646HGdcZDzkbcb975qdwfKSYiIgJfv/mL4vLOh6I83MR18EbO/KPvjpw4ib1//5382MLCAivnz5MuoTTwep3IEO6Beb1O2cDRoxEYFJT8uGbVKmjXsoWEGaVO7rVSw/Pr569fERUVBXNzLmAnIiIiIiIiIiIiIiIiIiL11Ok9UG58z7yZaFy1so6zUd7Zn7583MTYGJP79JAwG2kEh4bB+9GT5Mft6tVBgZzZJcxIGqwF1oI++bkec7hnRdemjSTMRhqPXr7CZ//vyY8HtW+DDE6OEmYkjZ9rwcHWBsM7d5AwG2mwFhLxOsXrVJKzN28JHk/v31uiTKSTkJCAC7d9kh9XKl4UdSqUkzAjabAWiIiIiIiIiIiIiIiIiIiItKthjbpy4zsO7EbDpo11nI3yzp85l/xvExMTTJg2ScJspBEcHAyfW97Jj9t0aIf8BQtImJE0WAusBX3ycz3aOzhgyKhhEmYjjccPH+Hzp8/Jj/sPHQjXDBkkzEgarAXWgj45f+Zs8r+z58yBzt27SpiNNK5cuISYmJjkx2Mmjf8t96xlLbAWkrAWiIiIiIiIiIiIiIiIiIiI9Fuv+jPlxufvHIxqjUrqOBvl3Tz3IPnfxibG6DuhpYTZSCM0OByPfF4lP67fpiJy5neXMCNpsBZYC0lYC6yFJKwF1oI+uXn+v3p0z5ERTTtXlS4ZiXhffozYmLjkx73GNoeZuamEGUmDtcBaSMJaICIiIiIiovTESOoEiIiIiIiISL5v37+LYlkyZVK5P5lMhkxyNvHz/yEeR1O++Yv7zpxRvY0E5b0G/j9+qNWntsk/lxlV7k/ea/A9IEDl/hRhCPWoD2JjYzF8/ARRvFD+fKhQpoxOcjCEeqREIaGhWLRyFQqWq4Cd+/brfHzO8YaDc7xmSDHHx8fH442fH/b9fQgtOndBlQaN8OHTp+Tj1tZW2LpqJZrUr6+V8eXx/+4vimVWo57ktf3+nfOCtsmbe42MjJBRjU3BM8u530hv5zI4JAT9R4wUxMYNG4oc2bJJlFHaeL1OZAj3wLxey/fX0aP46+ix5McWFhZYMW+uhBmlzV/OuVTvWpkRMplMPI6e/14SERERERERERERERERERHpwvlb3sn/7tKkIXJ6/H4bdl709kVcXOLmgOZmZhjf60+JM5IGa4G1oC8CgoNx5+mz5McTe3eHqYmJhBlJ49xPv5Oujg4Y1L6thNlIIyEhARdv+yY/HtqpPRzt7CTMSBqshUS8TvE6leTn34laZUujconiEmYjjQcvXuLrj//WZk/r31vCbKTDWiAiIiIiIiIiIiIiIiIiIqLUXDh7LvnfHbt1Ro5cOSXMRhqXz1/8b82RuTnGTB4vcUbSYC2wFvRFQkICLp2/mPx48MihcHR0lDAjaVw4ez753y6urug/dJB0yUiEtZCItaAfAgICcNfnTvLjcVMmwtTUVLqEJPJzPebNnw9tO7WXLhmJsBYSsRZYC0RERERERERERERERERERKR9Ny88TP53005V4JFT9e+tTq+8Lz1GXFw8AMDM3BS9xzWXOCNpsBZYC0lYC6yFJKwF1oK+CA4Iw5M7b5If9xnfAqamv99e+bfO//c7mT2vGxq2qyhhNtJgLSRiLbAWiIiIiIiIKP3hu1YiIiIiIiI9FRAYKIpZWlio1aeVpaUo9iNAPI6mBMr9GcQ5KEP+zxAg55n6Q9Ovg7zXICYmBiEhobC1tVG539QYQj3qg5kLF8H3/n1xfOJEyGQyneRgCPX4O7G2tkJERCTi4+NTfE5oWBg69emLW76+WDRzhs5y4xxvODjHa4Y25/hjp/5Fp959BLG4uDiEhYcjISFB9HwjIyM0b9QI08aNQc7s2dUaW1kBgUGimDr1ZGUlp5bk1Cxplrx5wcLCQq1aljsvBKavOX7MlKn48OlT8uMCefNieP9+EmaUNl6vExnCPTCv12KBQUEYOGqMIDZ++DDkyJZNoowUo+lzKZPJYGFhgYiICEH8R0AA3DJnVrlfIiIiIiIiIiIiIiIiIiIiQ3Bt+0apU5BcwyoVEXHrstRpSI61wFrQF452dgi7cVHqNCTXr01L9GvTUuo0JCWTyfD+9DGp05AcayERr1O8TiXZM2+m1ClIrlCunKwFsBaIiIiIiIiIiIiIiIiIiIgodZduX5M6BcnVb9wQQXHhUqchOdYCa0FfyGQyvP76Tuo0JNd7QF/0HtBX6jQkxVpIxFrQD46OjgiICZU6DcnNXDAHMxfMkToNSbEWErEWWAtERERERERERERERERERESkfTsvz5A6BclVaVAC3iHbpU5DcqwF1kIS1gJrIQlrgbWgL+wcrXEraJvUaUhu6OwOGDq7g9RpSIq1kIi1wFogIiIiIiKi9MdE6gSIiIiIiIhIvoiICFHMwsJCrT4t5bSPjIxUq8/UhMv5GeTloAx5r4E2fwZNkPc6qHMuLS0s5cYjIiNga2ujcr+pMYR6lNq5S5cxY8FCUbxFk8aoV7OGzvIwhHo0RGZmZqhYtgzq1qiBooUKoUDePHBxdoaxsTESEhIQEBgIn3v3cPbiJWzasRPf/P1FfSxbuw4ZXF0xZshgneTMOd5wcI5Xn7bn+NjYGAQFByv03AJ582LpnNmoUqG82uOqQu7cYKnOdUbcNsKAa0lfaGOOt7QU3zOkp3N56dp1rN2yNfmxTCbDqoXzYWpqKmFWaeP1OpEh3APzei02cuJkfPryJflxwXz5MKyf/n+ZgfxrpfyaUpSlhYWoRtLTHEtERERERERERERERERERPrB1NQE9jaKrX0wNeFH1ImIiIiIiIiIiIiIiIiIiIiIiIiIiEj/mZmZwd7eXqHn6vv+gkRERERERERERERERERERERERERERESGwtTMBDb2Vgo918TUWMvZEBEREREREREREREREVF6wG/TJSIiIiIi0lMxsbGimIWFhVp9mluYi2LR0dFq9ZmamNgYhXJQhrzXIDpaPI4+kfc6WKjxOqTUNjpGe6+DIdSjlF6/fYu23XsgLi5OEM+SKRNWzJur01wMoR4NiZeHB+ZNnYIu7drC0cFB7nNkMhmcHB1Rs0oV1KxSBROGD8OcJUsxc+EixMfHC547ceYslC5RHDUqV9Z67pzjDQfnePXo0xwPAA+fPEGNJk1RvkxpjB8+DLWrVdPp+DFy5n8LczWuM+by5gXDrCV9EhMjZ15Q4zym1D69nMvIyEj0GjwECQkJybEenTqifOnSEmalGF6vExnCPTCv10JnL17Cxh07kh/LZDKsWjg/XXxJEudYIiIiIiIiIiIiIiIiIiLSV23q1kaburWlToOIiIiIiIiIiIiIiIiIiIiIiIiIiIhIY1q2a42W7VpLnQYRERERERERERERERERERERERERERER/aReq/Ko16q81GkQERERERERERERERERUTpiJHUCREREREREpDiZTKbx9glIUKtPTeSgbntd/wyaoM7rkFLbhASeS30UEBiIxm3bw//7d0Hc1NQUO9evhbOTk0SZ/ccQ6jG96ty2DYb07QNHBweF21haWmLy6FE4sHULTExMBMcSEhIwdso0yV5/zguGg+dSMfo8x1+9cRP1W7ZG7yHDEBMTI1kegLrXGXGM1xhpaGVeSCenctr8BXj28mXy40wZMmDmxAkSZqQezvGJDOEe+Hc9lxEREegzbJgg1rNzJ5QrVUqijNT3O8+xREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREQpMZI6ASIiIiIiIpLP1MREFIuIiFCrz8iISFHM3MxcrT5TY2piqlAOypD3GpibmanVp7bJex0i1HgdUmqrzdfBEOpRCuHh4Wjcrj0eP3smiMtkMqxdvBAVy5bVeU6GUI+UqFHdOpg/baoo7n33Lo6ePKX18TnHGw7O8arR5RzfpH59xPp/FfwX9uEdPjx6gCsn/8HiWTNRvkxpuW3Xb9uGtt17ID4+XmP5pMbUVM51JlKN64yctubmhlVL+sjUVM68oMZ5TKm9ubn+z/F3HzzAguUrBLFFM2fAwd5eooyUw+t1IkO4B+b1+j+TZs/By9dvkh9nzpgRMydOkC4hJXGOJSIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiJSjJHUCRAREREREZF8FhaWolhUVJRafUZERsoZx0KtPlNjKafvSDV/hkgd/wyaYGkpzk+dcxkRGSF/HDk1oymGUI+6Fh0djRZduuLazVuiY/OnTUXH1q0lyMow6pH+0/fPbiiYL58ofuSfE1ofm3O84eAcrzx9mOPNzc2RMUMGlClRAv17dMfFY0dx8fhR5MudW/Tcv48dx4LlK7SeE5DC3BCpznVGXEvyxiDNkj/Hi8+FMiIixPcM+n4u4+Li0HPQEMTGxibH6tasgZZNm0iYlXJ4vU5kCPfAvF4n8r5zF0tWrxHEFs6YDns7O4kyUp78a6Wacyyvl0RERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERkgIykToCIiIiIiIjkc3J0EMXCIyLU6lNee3njaIqjo6OcHMLV6lP+zyAeR584Omj2dZD3GpiamsLW1kblPtNiCPWoS3FxcWjfsxdOnT0nOjZp1EgM6t1LgqwSGUI90n+MjIzQ989uovipc+La0zTO8YaDc7xy9HmOL1+6NC6fOI4SRYqIjk2dNx/ff/zQeg6arqfwcDm15CAegzRL3twbERGJhIQElfuUOy/IuS/RJ4tWroL33bvJj62srLB87hwJM1Ier9eJDOEemNdrIDY2Fj0HD0ZcXFxyrF7NmmjZtImEWSlP3u+LOucyISEBkZGRCo1DRERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERJSeGEmdABEREREREcnn4uQkin38/Fnl/hISEvD561c54zir3GdaXJzFP8OnL+IclCHvNZD3WukT+efyi8r9yXsNnB0dVe5PEYZQj7qSkJCAPwcMxF9Hj4mODe3XFxNGDJcgq/8YQj2SUK1qVUWx9x8/Iig4WKvjco43HJzjFafvczwA2NvZYffG9bCwsBDEIyIisGnHTq2P7yznPH9So57ktXWWM/+QZsmbF+Lj4/FFzu+2oj7Jud/Q53P58vVrTJk7TxCbNHIEvDw8JMpINbxeJzKEe2Ber4F5y5bj7oOHyY+tra2wfN4cCTNSjbOcc6netfILEhISxOPwfRkRERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERpXNGUidARERERERE8nm4u4ti795/ULm/r9++ISoqShCTyWTwdM+qcp9p8XBzE8UiIyPx9ds3lft8/+GjKObpIX6t9ImHnNf43fv3KvcnxWtgCPWoK/2Gj8D2vftE8V5dOmPulMm6T+gXhlCPJJTN0xOmpqai+Ndv/lodl3O84eAcrzh9n+OTZPP0RIeWLUXxMxcvan1seefZT43rzLuP4lr0cvdQuT9SjKWlJVxdXERxvw+qzw3yz6X+zvELlq9ARERE8uMiBQtgUO9eEmakGl6vExnCPTCv18D0+QsEjyeOGAFPPZ5HUiL3Wqnh+TVThgywsLBQuU8iIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIn1gJHUCREREREREJF8OLy9RzO/De5X783v/QRTLkikTLCwsVO4zLdbW1siUIYNCuSjq3UdxW3mvlT6Rey7VeA383ovrQNuvgSHUoy4MHTcBa7dsFcU7tm6F5fPmSpCRmCHUI4m5ODmJYv4/vmt1TM7xhoNzvGLSwxz/s/q1aopiDx8/0fq42eXU07sPaswLcuopezbxGKR52b08RTF550NR6e1cRkZFCR7fffAQFpmywMQlg8L/bd29R9TvtHnzRc8rUbWa1n4OXq8TGcI9MK/XQNQvv5ejJk9R6nfSxEX8uwAAOYuXFD1vyeo1Wvs55F4rf6P5lYiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIhIUUZSJ0BERERERETy5cqRHVZWVoJYWFg4nr14qVJ/vvfuiWKFCxRQqS9lFC4oHkNeLop4+vwFwsLCBTEba2tk9/JSqT9dkfca3Ll/X+X+fO+J22r7XBpKPWrTuOkzsHTNGlG8eeNGWL90CWQymQRZiRlCPZJYeESEKGZlaan1cTnHGwbO8WlLL3P8zzzcs4pi3wMCtD5uETnn2kfFeSGltvLGIM3T5LkMCwvDs5fiOYXnUjd4vTaMe2Berw2HvLnv6YsXCA8Pl/PstPFaSURERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERESGykjqBIiIiIiIiEg+IyMjFC9cWBS/duuWSv1dvXlTFCtZrKhKfSmjVLFiopgmf4biRYrAyEi/394WKVAAZmZmgtjHz5/xxs9Ppf7kn0vx66xJhlKP2jJ9/gLMWbxEFG9Quza2r1kNY2NjCbKSzxDqkYQiIyMRFBwsirs6u2h9bM7xhoFzfOrS0xz/M3Nzc1HMQk5M00oVF88LvvfuIyoqSum+IiMj4XvvviienuspPSlVvLgodu2mavPCDW8fxMbGCmKe7u5wddH+tYp4vQYM4x6Y12vDkSljRri7uQlisbGxuOnjq1J/V2/wPRkRERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERGSYTqRMgIiIiIiKilFWrVBGXr18XxM5fvozObdso1U9CQgIuXr0miteoUlmt/BRRrVIlzFiwUBC7cOUqEhISIJPJlOrrwpUropgufgZ1WVpaomzJkrh49aogfv7yFXRp56FUX6/evMG7Dx8EMSsrK5QrVVLtPNNiCPWoDQtXrMTk2XNE8ZpVq2Dvpg0wNTWVIKuUGUo90n8u37ghipmYmMDVxVnrY3OONxyc4+VLb3P8zz59/iKKZcqQQevjZvfygqe7O96+e5cci4qKwtWbt1CtUkWl+rp68xaio6MFsRzZvODlodz1ilQj73zd8vVFeHg4rKyslOpL7hxfWb/nBStLS9jb2anVR3hEBGJiYgQxc3NzWJibC2I2NjZqjZMWXq8N5x74d79eq/s7CQBBwcGimK2NDYyMjAQxczMztcdKTbVKFbF19x5B7Pzly6hasYJS/YSFheH2nTuiuL6fSyIiIiIiIiIiIiIiIiL6vcTHx+Pe8xd49PIVvnz/gajoaFhbWiFrpgwomjsXsmV1kzpFrUlISMDbj5/w6NVrfPb/jsDQUMTFxsHBzhYOtrbI7emBgjmzw9jYWGs5+AcG4s2HT3j/5Su+fP+OsMhIRP//HNjbWCOTizOK5s2DDE6OWstBn8TExsLn8RM8ff0W/kFBiImJgY2VFbyyZEbRvHnglsFV6hS1Jig0FK8/fMT7z1/xyd8fYRERiIyKgqWFBextbODq6IDCuXPBPVNGqVMlHfIPDIT3w8d49eEjQsLCYGRkBCc7O+T29EDJAvlE690M0e98nfoZa4G1QP9hLZA+4f2rfty/BoaE4NaDR/jy/Qf8AwMRHRMDW2trZHfLgqJ58yCjs5PWcyAiIiIiIiIiIiIiIiIiIsMTHx+P+3fv4fGDR/j69SuiIiNhbWMDt6xZUbhYEWTLnk3qFA1aUFAQ3rx6jQ/v3uPTx08IDw9HZEQELK2sYGdnB9cMrihUtAiyumeVOlWdYD1KKyYmBi+ePcfTx0/h/+0bgoKCYGJiAgcHBzg5O6FgkcI8B78J1oJQREQEfG554/nTZwgICEBcXBzs7GyRPUcOFCtZHM4uLlKnSDrCWqAkrAUi3i8QERERERERERERERERERGlF/Hx8Xh23w8vH73H969BiI6KgZW1BTJmdUKewl7Imi2D1CmSDr168gHPH/jh26cAREZEw8LSDK6ZHZGroAey5/099rgMDQ7HI59XePviM0ICwwEAdo7W8MiREfmLZ4eNnZXEGeoGa4G1kIS1wFpIwlpgLSRhLbAWkrAWiIiIiIiIiIjSZiJ1AkRERERERJSyRnXrYtq8+YLYwaNHsXT2bNja2ijcz7lLl+H3/r0g5urigrIlS2okz9RUKFMazk5O+P7jR3Ls7bt3OH/5CqpVqqhwPyEhofjr2DFRvFHdOhrJU9sa1a2Di1evCmJbdu1Gl3Ztlepny67doljtalVhbm6uTnoKMYR61LTVGzdh5KTJonilcuVwcOsWnZwXVRhCPdJ//jpyVBQrW7IkTE1NtT4253jDwTleLL3O8UkuX78uinno6IsiGtWtg+Xr1gtiW3fvVmpeSGrzq4Z1OC/oipeHBwrlz4f7jx4nxyIiIrD370NK3TPEx8dj+959ori+z/HL583F8nlz1eqjW/8B2Lp7jyA2cuAATBo1Uq1+lcXrdSJDuAf+3a/X31+9ULsPExfxh5F9L56Hl4eH2n0ro1HdOqL5YfvefZg0aiRkMpnC/ez9+xAiIyMFsWKFCiFrliwayZOIiIiIiIiIiIiIiIiISB3vv3zFkh27sfufU/APDEzxebk9PdDtj8bo0bwprCwsdJeglvg+eYqzN2/j/C1vXL93H6HhEak+38bKEhWLFUX3Zk1Qr2J5GBkZqTx2YEgIbtx7gKt37+H2w8d49PI1Pn//rlDbrBkzoHnN6ujcuAHyGeCXeT998xaLt+/CwdPnEBwWluLziuXNjZ4tmqFDg7owMUm/H8MPj4zEzfsPce3ufdx88BAPXrzE+y9fFWqbwckRjatWRufGDVGyQD4tZ6p7r95/gPejJ/B+9Bg+j5/gztNnCAkLFzynUvGiOLVmuUQZal9CQgIOnjmHVXsP4Nrd+4iPj5f7PEtzc9SvVAGDO7Q1yFr4Xa9TP2MtJGItAGEREfB98ix5bvR5/AQv331AQkKC4HknVy9F5RLFJcpS+1gLuq2F6Ws3YMa6TWr1kZr0fj3n/av096/RMTHYcvgYth/7B96PniAuLk7u82QyGYrny4vuzZqgfYO6ME3H54GIiIiIiIiIiIiIiIiIiHTjw/v3WL5wKfbs2I3v/v4pPi9Xntzo0qMbuvXqDiur9PlF5JfOX0TDGnW1OkZQXHiazwkPD8et6zdx4+o13Lp+E48ePMT7d+/TbAcArhkyoGHTRujYrTNKlNLvvdpU8TvVY0rCwsJw1+cOfG57w/e2D3y9ffDqxUvRuqmjZ06gUtXKGhkzJiYGly9cwoWz53Hx3Hnc9bmD2NjYVNtkyJgBtevVQY9+vVG0eDGN5KFPYmNj8ejBQ/je9kk8F94+eHT/IWJiYgTPGz1xLMZMGi9RlprHWpDP++YtLF2wBCeP/YOICPmfyzEyMkLZCuXQq39fNG3xh44z1L5vX7/+9/vw///9KmddnSLXwfSMtcBaSPK71YKm76Pr1K+LvUcOaqw/qfB+QX/uF169fJV8Hu54++Cuzx2EhIQInlOxSiUcO3tS42MTERERERERERERERERERHpuy8fvmP7sn9wfPcVBH4PSfF5nrkyo1nXamj+Zw1YWmn/e7H1ydiuy3Fy/3W5x448WIQsnq46zkg7gn6EYteqkzi87QK+fPiR4vMyZnVGk46V0aZ3Hdg7Kf4d5enF9bP3sXPFCdw49wCxMfL39DMxNUaZagXRvn89lKlWUMcZah9rIRFrgbWQhLXAWkjCWmAtJGEtsBYAICoyGs/u++Gx72s88nmFRz6v8frpB8THCz/nN2lVTzTuoJnP+RERERERERFR+sVviCIiIiIiItJjxYsURv48efDo6dPkWFhYOLbv24s+3bop3M/aLVtEsdZ/NNXJFzibmpqiVdMmWLVR+OXbazZvRrVKFRXuZ/u+vQgLE24UWCh/PhQuUEAjeWpbm2bNMHrKVMGXOl+6dg2Pnj5F/jx5FOojOjoaW3btFsXbt2yhsTxTYwj1qElbd+/GgFGjRfHSJUrg8M4der3xtCHUIyV64+eHTTt3ieJ1alTXyfic4w0H53ih9DzHA4lz9M59+0XxejVr6mT89i1bYvm69YLY/sNHMH/aVDg7OSnUx/cfP3DgyFG5fZPutG/ZEqOnTBXE1mzegi7t2ircx4kzZ/H23TtBzNnJCXVr1tBIjpQ2Xq8TGcI9MK/XhqN+rVpwdHBAQGBgcuyNnx/+OX0G9Wspfr1eu2WrKNaO78mIiIiIiIiIiIiIiIiISA+s2L0Pk1auRVgKX57+s2dv/TB68XKs3LMf6yeNQ6USmv/yaG17+e49Nv59GAdPn8Obj5+UahsaHoETV67hxJVryOmRFasnjEGFokVUyqPP9Dn4++x5ldq+//IVS3bsxpIdu9G+QV3MHtwfLg4OKvWlT+Li4jBt7QYs3LoTMWl8iTkA+D55hj7TZ2PF7n3YNG0iCubMoYMsNW/q6vVYskO8zkURX38EYP3BQ1h/8BDqViiHxaOGwTNzJg1nqBsBwcG46O0L70dP4PP4CXyfPMWPoGCp05LU20+f0W3iVFy9cy/N50ZEReHA6bM4eOYc/vyjMeYNHQgLc8P4AoDf7TolD2sh0e9aCz6Pn+Dm/YfJ8+OTN28RHx8vdVqSYi0YXi3IZDKpU1AJ71+Vp43716MXLmPo/EV49/lLms9NSEiA96PH8H70GEt27Ma6SeNQskA+tcYnIiIiIiIiIiIiIiIiIiLDtXrZSkwdNwlhYWFpPvf502cYN3w01ixbiVWb1qFilUo6yNAwzZg0DcsXLlGp7bevX7Fp7QZsWrsBtevVwYIVS+Dh6aHhDKXxu9ajr7cPbt+4CZ9bPvD19sHTx090tm7q8oVL2LllG44eOoqgn/ahU8TXL1+xffM2bN+8DdVr1cSydSuR1T2rdhLVgbdv3uLqxcvwue0NX28f3L9zD5GRkVKnpTOsBfkiIiIwctAwbNu4BQkJCak+Nz4+HlcvXcHVS1dQvlIFrNu2Kd2+DrGxsbh0/iJ8vX3gc8sbd7x98M7vXdoNDRhrgbWQ5HetBUrE+wX9uF8ICAjA5fMXE8/DbV/c8fFFwI8fKvVFRERERERERERERERERERk6HatOokVU/YiIiwqzee+ff4Ji8buxO7VpzBlTS+UqPh77F928R9fnNx/Xeo0tO7UweuYPWQzgn6EpvncL++/Y+2sv7B37WmMWdwVNZuW1kGG2hf0IxRT+q7DhWPeaT43NiYOV07dxZVTd1GtUUlMXNEDdo7WOshS+1gLrIUkrAXWQhLWAmshCWuBtZDkd62F108+wPfaMzz2fYWHPq/w8tF7xMbESZ0WEREREREREaUTRlInQERERERERKnr36O7KDZlzjx88/dXqP2Zixex/9BhQczIyAj9uov71ZZ+PbqLviB7/6HDOHvxkkLtv377hsmz54riA3v10kh+upA5U0a0aNxYFO8/YlSamwMmmbFgId5//CiIZfP0QON69TSSoyIMoR41Yd/fh9Bj0BDRuStWqBCO790NW1sbiTJTjKHU4+8uPDwcbf7sgejoaEHczMwMbZs301kenOMNB+f4ROl9jgeAafMX4MXr14KYTCZDk/q6maNLFS+GMiVLCGIREREYPmGiwn0MGz8BERERgljFsmVRvEhhjeRIiunWoT2sra0EsVs+Pti8c5dC7SMjIzF8/ARRvHfXLjA1NdVIjqQYXq8N5x6Y12vDYG5ujh6dO4niw8dPUHjj+E07duKWj48gZmtjg67t22kkRyIiIiIiIiIiIiIiIiIiVSQkJKDfjDkYvmAJwn5Z/5MWv0+fUb/fYOw6flJL2WnPrn9OYuHWnXjz8ZNa/bzwe4/avQZgxrqNGspMNTuOnUCJ1h1x79lzSfNQV1R0NFoOH4M5G7ciJjZWqbYPXrxE1W69ce7mbS1llz6cuHINJVp3xJkbt6RORSVHL1xGm5HjMG/zNpy5cQs/goKlTklSd58+R8VO3XH1zj2l2iUkJGD9wUOo3XsAgkPDtJSdbvyu16lfsRZYC21HjceQeYuw/dg/ePTqNeLj46VOSTKsBcOthaJ5ckudgtJ4/6o+Tdy/zlq/Ga1GjMG7z1+Ubvvk9RvU7NkPB8+cU3l8IiIiIiIiIiIiIiIiIiIyTAkJCRjYqx9GDR6OsDDl1l/5vfVDk9oNsGe7YnsA/k6KFC+q0/FO/XMSZQuVwNl/z+h0XE373euxU8t2GD5gKHZu3Y7HDx/pdN3UrCnTsWPLdgQFBqrVz9l/T6N8kVI4cfS4ZhKTwOwpM9C7aw+sXbEat67fVHgPPkPBWhALDAxEvaq1sHXDZoX3CE1y9dIVVClVAQ/vP9BSdtr14f0HNK3TEFPGTsSRvw7hnd87qVOSFGuBtZDkd64FSsT7Bf24Xzh+6Cg6tGiLhbPn49zpMwj48UOtfIiIiIiIiIiIiIiIiIiIiAxRQkICpg/YgPkjtyEiLEqptp/8/NGn0Wwc331ZS9npj7CQCMwesknqNLRu/dy/MabzcgT9CFWqXeD3EIzquBSbFhxO+8l67tM7f3SsOhEXjnkr3fbckdvoVG0ivnz4roXMdIu1wFpIwlpgLSRhLbAWkrAWWAtJfudamDVkE2YM3ICDm87h6d23iI2JkzolIiIiIiIiIkpHTKROgIiIiIiIiFLXuW0bzFu2DK/f+iXH/L9/R5d+/XFgy2ZYWFik2Pbtu3foOWiIKN6+ZQvkypFd4RyqN26Ki1evCmKd2rTGxuXLFGqfN1cutGn2B3YdOCiI9xg0GGcP/w1Pd/cU20ZGRqJr/wH4/sumXTmzZUP7li0U/AkSmbhkEMU2LFuKzm3bKNWPqsYNH4oDR44g9qcv27549SqmzZuPiSNHpNr23/PnMXep+PUeN2wYjI2NFc5B3ddAH+rx/OUrqNn0D1H8hc9teHl4KNyPqo6d+hed+vRFXJxwgUbBfPlw4sA+ONjbaz0HTbwG+lCPU+bMxbR58wUxT3d3vPRVfiFUehMUHIwufftj7NAhKFW8mNLtP3/5gnY9euG2r6/oWJ9uXZX6XeAcbzg4x6tP6jm+56AhaFinNhrVqwuZTKZ0+7i4OEyfvwCzFi4SHfuzQ4dUfx9/tmXXbvw5YKAoHuv/VeFcJo8ehXotWgli2/bsRdWKFdOsyS27dmP73n2i+KRRIxUeHwC69R+Arbv3CGKVy5fH2cN/K9VPeqbua+Dk6IgBPXti9qLFgvjwCRNRtFBBFC1UKMW28fHxGDBqNJ69fCmIOzo4YGCvngqNnyRHsRJ4+064wfiEEcOVron0jNdrzdCHe2Berw3DGz8/5CxeUhQ//fdfqFqxgkJ9DOnTG2s2bUZQcHBy7NnLlxgwajTWLFoIIyOjFNveuX8fIyZOEsUH9e6lk/ekREREREREREREREREREQpGb98FTb+fUQUl8lkqFaqBArkzAFXBwe8+/IF1+7ex4MXwrUlsXFx6DF1JlwcHVCrXBldpa1V1paWKFOoALJndUMGJydYWVogICgY95+/wJU79xAWESF4fnx8PKav3QgjmRHGdO+i9vj2NjbI7eWBvF5eyOjsBDsba8hkMgSHhuHFu3e49eAR3n8Rrw37+iMAdfsMxL9rVqBATsXXFeiT7pNn4J/LV0VxUxMT1C5XBrm9PGFvY403Hz/horcvXr3/IHheWEQEWg4fg7PrV6Jw7ly6SltrrCwskMfLA7k9PZE1YwbY2VjDxMQEwaGhePPhE7wfP8YLv/eidmEREWg+dBT+XjwPVUuVkCBz0gS/z5/RaMAQ+AcGio5ldnVBrbKl4ZUlCyKiovDi3TucuHwNEVHCLwi49eARWgwbhX9WLlFqzZQ+4XWKtZCEtUBJWAvSMTczg72Njdr9RMfEiOYpAOjUqIHafesa71+FpLh/nbV+M6auWS/3mGeWzKhRuiTcMmSAiYkxPvl/x8XbPnj06rXgeVHR0eg8bjLsrK1Rs2xppcYnIiIiIiIiIiIiIiIiIiLDNWnMBGxZv0kUl8lkqFK9GgoUKgBnVxe893uHG1ev4+H9B4LnxcbGok+3nnB2dUHNOrV0lbbaTExMYK+BfbHi4+MREhIiinfo0lHlPq2srJArb27kzpMHbu5ZYWtnC1NTUwQHBeHt67fwue2Nl89fiNqFhYWhTZMW2Hf0L1SpXlXl8aX0u9ajvnPNkAFlypeFW1Y3uGZwhZGxMfy/fsOtGzfhc8tbtFduUFAQOrVqjz2HD6BazeoSZU3a8DvWQmxsLFo3bg7f2z6iY1ZWVqhdvy5y5MoBc3NzvH39BqdP/osvn78Inuf/7Rua1mmIC7euIIubm65SJw1jLVAS1oKYpaUlzMzMVGprrYF126Rffsf7BSIiIiIiIiIiIiIiIiIiIn22bOIe/LX5nCguk8lQumoB5MyfFQ4udvj8/jvuXn+GFw+F39UeFxuHyb3XwsHFDuVrFtZV2jq3dOJufPnwI+0npmP71p/Gqmn75R4rUiYX8hbLBtdMDvj2KQCPfF7j/i3xmvXlk/fCwdkWf3Sppu10tSI0OBx9G83Gh9fifc/tHK1RsU5RZM2WAfHxCfjw5isun7yDkMBwwfPevfyCfk3mYMu5KbC2tdRV6hrFWmAtJGEtsBaSsBZYC0lYC6yFJKwFIiIiIiIiIiLVmUidABEREREREaXO3NwcS2bPRuO27QTxk2fOok6Llli7aBHy5Mopanfq3Dn82X8gPn0Rbizn5OiIWRMnaDVneeZMnowTZ84iIDAwOfb23TtUqtcAG5YvRa2qVUVtnjx/jp6Dh+DqjZuCuEwmw9K5s1XeUE4q+fPkweA+vTF/2XJBfOrcefj85QumjRsLZycnwbHo6Gis37YNw8ZPRExMjOBYhbJl0LltG63n/TNDqUdVnb98Ba27/Sk6F3ly5sTJA/tE50+fGUI9pmcJCQk4cuIEjpw4gfJlSqNlkyZo1qgh3DJnTrVdSEgo1m3divnLl+PrN3/R8RzZvDBu2FBtpZ0izvGGgXO89HO899072LhjB/LkzIkWTRqjWaOGKFygAGQyWartIiIicOTEScxZsgR3HzwUHXd1ccGMCeO0lbZctapWRcsmTbDv0CFBvPvAQXjj54fh/fvB2tpacCw0NBTzl6/AjAULRf21bd4M1SpV1GrOJN+YwYOw5+BBvH7rlxwLDApC9cZNsXrhArRo0hhGRkaCNu8+fMDgMWNx6Pg/ov5mTZyQru6ZDAmv14ZxD/y7X68NiauLC2aMH4f+I0cJ4pt27MSPgAAsmT0LWbNkERyLj4/H/kOH0WvIUISEhgqO5cyWDaMGDdR63kREREREREREREREREREKfn32g0s2rZLFC9XpBBWjR+NPF6eomOnr99Ejykz8Nn/e3IsLi4O3SZOg/eebcjg5KjVnLXFyd4OrevWRstaNVCyQD6Ymsj/OHdQaChW7dmPWRu2IPqXdQlT16xH8Xx5UKdCOaXGNjUxQZWSxVGnfFlUKl4MhXLlEK3v+VlCQgLO3/LGuGUr4fvkmeBYQHAIek6diYub1sDY2FipPKS2/uDf2P/vGVG8UdVKWDBsMNwzZRTE4+Pjsf/0WfSfORchYf9t1hgWEYEOYybi5s7NsDA313remmRkZIQyhQqgfqUKqFS8KErkywuTFGoxye2HjzFxxWqcu+UtiEdFR6PHlBnw3bsdNlZW2kxbp8zNzOCWwRWv3n+QOhWtSkhIQOdxU/AtIFAQNzUxwdwhA9Dtj8YwMzUVHPMPDMTklWux4a/DgvglnzuYsW4TJvburu20NY7XKdZCEtZC2rJkcEVYeASCflmnZmhYC2nTZi2M6NIRI7p0VLufvtPnYNOhI4JYifz5UCBndrX71iXev0p//3ryyjVMX7dRFHfPlBHzhw1C46qV5ba7dvc+Bs9ZgHvP/9vwPDYuDl3GT8Gt3VuQ2cVFofGJiIiIiIiIiIiIiIiIiMhwnT75L5bOXySKl61QDsvWrkTuvHlEx86cOo2+3Xri86fPybG4uDj07PQnbty/DdcMGbSas6aUq1gefj8+qd3P3h270aNTN0HM3NwcLdspvg+ckZERSpcrg7oN66Ni5UooVrJ4mmsTvG/dxpRxk3DhzDlBPCoqCn279cSNBz6wsbFR/AfRA79zPSoqi1sWhIWGISgoSOtjZc+ZAx26dkKDxg2RN3++FJ/35vUbzJw0DXt2CNe8RUVFoVPLdvB+chcZMmZMoXX6ZO/gAGtrK3z88FHqVHTid6+F6ROn4vqVa6J4155/YuL0yXBydhbEo6OjsXndBowdNlqwT+jXL1/RvUNXHDt7Ms39nNMTIyMj5MqTG08fP5E6Fa1jLaSOtfB718KC5YvRXgPrrw0J7xfk0/X9grm5ObJkdcPrl6801icREREREREREREREREREVF6cvX0PWxdckwUL1I2NyYs745sebKIjl07cx+Te6+B/+fA5FhcXDwmdF+Ffbdmw8nVXpspS8L3yhMc2HA2+bG9ow2CAgxrz8vnD99h4egdorhX7iyYurYXCpTIITr24PZLTOq1Bm+eCdfAzBuxFUXK5kb2vG5ay1dbZg7aCL+XnwUxmUyG7qOaotOgBrCysRAcCw+NxJbFR7F+zt+C+OunHzFn2BZMXdtb2ylrHGshEWuBtZCEtcBaSMJaYC0kYS2wFhTh5GqHhAQgwD9Y6lSIiIiIiIiISA+lvnMUERERERER6YX6tWpiSN8+WLRylSB+5foNFCxfATWrVkHBfPng4uyM9x8+4MqNG7j38JGoH2NjY2xeuQKZJNhsM0vmTNi4bCmad+6C+Pj45PjHz59Rr0UrFC1UEOVKlUJWNzd88/fH/UePcPbiJSQkJIj6GjFwAGpXq6bL9DVm2tgxuHz9Oq7fui2Ir92yFdv37UeDWrWQM0d2mJuZ4Y2fH06eOYtPX76I+nF1ccH2Nasl2RjQEOpRVdPmzUdkZKQo7vfhA/KXLa92/74Xz8Mja1a1+1GUIdSjunbtP4D+I0cp3c45e85Ujx/auR0Vy5ZVqK+rN27i6o2bGDJ2HNwyZ0aRggWRI5sX7GxtYWdri/CICPwICIDPvXu45eOL6Ohouf1kcHXBsT274eToqPTPoy7O8YmKVa4Cv/cfUjweGRUlis1dugxL16xNsU2FMmVweJd4gZy2cI7Xjzn+6YsXmLFgIWYsWAg7W1sUKpAf+XPnhqOjI+zt7GBsZISQ0FD4f/+O+48f4+6DBwgLC5fbl7OTE07s3wtnJye1fwZlrVo4Hz737uLl6zfJsYSEBEybNx/L161Hg9q1kM3TEwkJCXj99i2OnfoXgXK+0CB3jhxYMX+eDjPXnDlLlmLukqUpHv95zkzi9/59mtcZXd4zWFtbY+e6dajWuIngdyQ4JATtevTEpFmzUbViBXh6eCAwKAhPnj3HiTNnEBsbK+qr9R9/oHsnbgotFV6vExnCPfDvfL02NL27dcW5y5dx4PARQfzQ8X9w/N/TqFezBvLkygU7W1u89XuH85cv48Xr16J+rKyssGvDelhaWuoqdSIiIiIiIiIiIiIiIiIigeiYGAyeu1C0zqB2uTLYM28mLMzN5barWbY0zm9Yjdq9B8Dv038b6vkHBmLC8lVYM3GsVvPWtDxenhjVrTOa1agKczOzNJ9vb2OD0X92QY2ypdGw3xAEh4UJjo9YuBTVy5SCqYliHwcf2qkdVo0fBQdbW4VzlslkqFa6JC5tXoduk6Zh78nTguM+j59g76kzaFuvtsJ9Ss0/MBATV6wRxTs1qo9V40fDyMhIdMzIyAitatdEbk8P1OszEIEh/232/dzvHRZu3YmxPbpqNW9Nat+gLoZ0bIeMzsqtHSxZIB+Or1yCcctWYuHWnYJj7798xYrd+zCqW2dNpqozpiYmKJAjO4rny4Pi+fKieP68KJgzB67dvYc6vQdKnZ5WbTl8DNfv3RfETE1McHDRXNQsW1puGxcHBywfOxIZnZ0xc/0mwbEFW3egXf06yOnhrrWcNY3XqUSsBdaCPJmcnVEsX57k+bFE/nzI6OyE2r3645LPHanT0xrWglh6rIWIyCgcOH1WFO/UqL4E2aiO96/S37/GxsZi8NyFos945PHyxPGVS5DF1SXFtuWKFMKZ9SvRfOgoXPT2TY5/DwrCqEXLsHXGFKV+JiIiIiIiIiIiIiIiIiIiMizR0dEYPmCIaJ1KzTq1sOPgHlhYWMhtV6N2TZy6fA4Nq9eB31u/5Ph3f39MHjMBKzaI1xoYsh1btoti9Rs3hKOCe/C27dgOg4YPRgYl91wrUaokDp86homjx2PJvIWCY+/fvceqpSswYqzy+xpLhfUoljFTRhQtXgzFShZHsRLFUbxUCWTImBENqtf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8gG7uE9pYv3Wb0t+jRpUqOLBtKywsLPR6/hadu2Jgn16oXa2a2mPDwyPQZ9gwHDt9WnSseaOGqFCmjMq5OMdrLzgkBPVbt8XLN28EcXNzc+zdvAl1a9TQew0A53hd4RyvmzmeiIiIiIiIiIiIiIiIiIhIX3w/fUKTwcMRGBoqOpY1ozPqlC8Lj2zZEB0bi1d+fjh99Tqiv1vTcPvRE7QeORanVi9Ta30wGS9LCwvkcXNFXg83uGfNinS2NrC0sEB4ZBQ+fPkC76fP8ejVa9G4hMRE9J0xFyYyE3RoWE+CynXLycEB+XK4I5+7OzJmcEQ6OzskJSXhW3gEnr19h1uPHuNrSKho3Ctff9TpOwiXNq9FVmdnwxdOOudgZ4e8Hm7I7+GBzE4ZkM7OFjKZDGERkXjl54fbj57A/7N4veaX4BDUHzAEZ9etQqHcqn8Wxpj0njYbp656ieLmZmaoW6Ec8nq4w8HOFu8+BsDz7j288f8geF1kdDTajBqPCxtXo2he9dd+S233ydMYMGue0mNZnJxQu3xZuGfLAksLC3wJDoGXzwPce/Yccrk85XVJSUkYvWQ57G1t0K1pY0OVrne53VxQumBBZMqQHhkzpEdcXDw+fPmCaz4P8Pzde9HrX7z3RcOBw3Bu/Sq4ZsksQcW6ZW5mBpuffDbuZ2xtrHVcDUmJz01ERERERERERERERERERESUFk0dPxnbNm4RxWUyGarVrIFCRQrBKaMz/H39cNPrBh4/fCR4XUJCAgb07AunjM6oXa+OocomPWAvAH6+fmhRvymCAgNFx7Jmy4padWvDPYcHoqOj8frla/xz8jSio6MFr7tz8zY6NG+Do2dPpto19+wF9oICe4H+K+DjRzSu1QCvXrxUerx4qRIoWrwYMmXOhHQODggPC8PnT5/x8P4DPHn4WLTvamoTFhaGZnUb4d2bt6JjjunTo17D+siRKweSkpLw7s07nDl5Gt+++wzXm1ev0aJ+U5y/fhn29vYGqtywQkNDMWqw+HtHKO05ffwkBvbuj6SkJNGxIsWKoGyF8sju6oLAL1/x+NFjeF64JPj8BQBsWrsB6TOkx+SZ0wxUtW4lJCSgXdNWuHfHW3TMxsYGdRvWR648uWBpaYn3b9/h3Jmz+Pzps+B1gV+/onm9xrh8+xqyZc9uqNKJiIiIiIiIiIiIiIiIiIhIRSum7MWhrRdFcZlMhrLVCyF3QRc4OqfDJ/8g3L/xAq8eC78fOzEhEdP6r4ejczpUrF3UUGXrVIBfIAY2m4/QoHDRsYxZ06NCrSLI5pERsdFx8H39GVfP+CA2Ok7wukd3XmNEuyVYc3wCTE1//N3Qxoy9wF5QYC+wFxTYC+wFBfYCe4H+xV5IxnmBvUBEREREREREmjOTugAiIiIiIiIiVcyfNg2nz19AyH82HHzv54cqDRph08rlqFO9umjMs5cv0XfYcHjdvCWIy2QyLF8wDxYWFnqumr5naWmJZfPmoWmHjoL4mfMXUK91G6xfuhT58uQWjfvn4kX0GjQEAZ+FG8tlSJ8ec6dM1mvNpFzBfPkwbEB/LFqxUhCfsWAhPn3+jJkTJ8ApQwbBsbi4OGzcsQMjJ01BfHy84Fil8uXQrUN7vddNYnWqV0ebZs2w78gRQbz3kKF45+uLUYMGwtbWVnAsIiICi1auwuzFS0T5OrRqiRpVKuu1ZlJu/LCh2HvwIN6+902JhX77hppNm2PtksVo3awpTEyEC8P8PnzAsPETcOTkKVG+uVMmi97HxiohIQE7/96H3fsPoFa1qmjTrBmaNqgPZyenn477GhiIVRs3YdnadQiPiBAdL1uqFPp176avsn9oxfx5qFivAeLi/l3k5/3gAao1aoLNK1egTMkSojG3ve+h56DBePrihSBuaWmJ5fPn6r1mXUsLc1NGZ2fMnjQRg8aMFcS37NqN4JAQLJs3Fy7ZsgmOJSUlYf+Ro+g3fISoJ3PnyIGxQ4fovW5d2bP/gOh3B5Lv+Yd3boeVlZXea/D08sKx06dRrHAhtG3RAi0bN0aeXDl/OiY2NhY7/96HeX/+KZhPFZwyZMCC6dP0VPGP/c5zfHh4BBq2bY9HT58K4mZmZti1fi0a16srUWWa4RzPOT4tzPFERERERERERERERERERL8jSwsLZM+UEW/8P0hdil7J5XJ0mzgdX0NCBXFzMzMsGD4YPVs0hYW5ueBYYGgopq1ej02HjgriV7x9MHvDFkzp31vfZRvU79ILAFA8X140qloJVUuVQNnChWBlafnT1z97+w6zN2zB/rPnBfGkpCQMXbAYVUqVgEvmTPosWeesLS1Rp0I51KlQFlVKlkA+D/efvj4hIQEnrlzDhOWrRT3iG/AJw+Yvwd6Fc/RZssE52tvBxtoaH798lboUvTI3M0O10iVRr2J5VClZAkXy5BKt2/svuVyOS7fvYuKK1bj3TLj2KyQsHH1nzIHnlnUwNTXVd+k6tfHgYdF7HACaVK+CxSOHwTVLZkE8KSkJ+89dwKA5CxAeGZUSj4yORufxU3Br99Zfzi3GxOf5Cwyas1AUz+CQDrMH/4GuTRoq7Ysnr99g2IIluOLtI4gPnb8EJQvkRxEln6VKLSoWL4puTRqhdoVyyJbR+Yevu+ZzH+P+XIk7j4XrQX0DPqHzhCm4tGktZDKZvsvVq3b16mDDtIlSl2FU+Nz0Y2nxuelnzExNkdMlO14oWaNPRERERERERERERERERERExu/cmbNYvmipKF6+UgWsWL8aefPnEx07/885/NGzLz4FfEqJJSYmom/XXrj58A4yZko7ayMAIFv2bIiMiMS3b9+kLkWv2AvJa0R7deqGwK/CtbPm5uaYu2Q+uvXuKdr7PigwEDMmTcPWDZsF8auXr2DejNmYOH2K3uvWNfYCe0GBvfBrv8s9AgDCw8PRulELvHrxUhC3sLDAwOFD0OePvsju4vLD8ZGRkTh3+iz2//U3Thw5pu9y9WJY/8F4/fKVICaTyTBm0jgMGTUcdnZ2gmMRERFYtnAJFsyaJ4g/f/oMowYNx7ptG/VesxQmj5kgmAPSZ8iAkOBgCSsyLAdHR9ja2uDjh49Sl6JXnwIC0L9HXyQlJQniWbJmwerN61Grbm3RmOdPn2FIv4G4ce26IL547kJUrlYVNWrX1GvN+jBrygzR7wMAPfr2wpRZ05Dhu+9SiIuLw9YNmzBh5DjBd7p8+fwFvTv3wIkLZ1L95y+IiIiIiIiIiIiIiIiIiIjSEq9zD7B92QlRvFj5vJi8sjdy5MsmOnb9/ENM678OgZ9CU2KJiUmY3HsN9t2ehwwZHfRZss7J5XJM7LEKIYFhgriZuSlGzuuMFt1rwNzCTHAsJDAcq2f8jYNbLgrid68+w/q5BzFgUmu9161r7AX2ggJ7gb2gwF5gLyiwF9gLqrCwNEem7Onh/+aL1KXoFXshGecF9gIRERERERERacfs1y8hIiIiIiKi1G7Q6DHYc+DgD48nJCaIYtdu3oRTzp9/WXzQm1c/Pa5L2bJmweYVy9GqW3fBhmwfP31Cg9ZtUbxIYVQoUwYu2bPja2AgHj55ggueVyCXy0W5Rg8ZjLo1ahisdl0qUbUafH/yBecxsbGi2ILlK7B83fofjqlUrhyO7tmlk/pU0bBObQz/YwCWrl4jiF+7cROFK1ZC7erVULhAATg7OcH/wwdcu3kTDx4/EeUxNTXF1tWrkCVzZkOVrjO+/v4oUbX6T18TERkpijXr1Almpj/+zzljhg7B2KFDtC1PZTMnjMfVGzdw4/YdQXz9tu3YuW8/GtWpg9y5csLSwgLvfH1x5vwFBHz+LMqT0dkZO9et5caAElqzZBG8H9zH67fvUmJyuRwzFy7Cyg0b0ahuHeRwd4dcLsfb9+9x4p+zCFWyOXDeXLmwatFCA1auO/OXLceCZct/ePz7zUCB5Pfyr+6V9zwvwe0nGwjrkq2tLXZv2IAaTZshJiYmJR4WHo6Offpi6tx5qF65Etzd3BD67RuevXiJ0+fPIyFB/BzQrkUL9O7axSB161JSUhLOXryEsxcvoe+w4cjh7oZihQvDzcUVDunsYW9nh/CICHwNDMSdez649/AhEhMTlebKmysXju7eKdoY3RCKFymChTOmY+i48YL40xcvUKFuPVQsVxalihVDlsyZ8enzZ9zx8cH1W7eV5lo6exYKFyhgiLJ1Li3MTf179sDFq1dx4Khwg/AjJ0/h5NlzaFC7FvLlyYN09vZ47+uHS1ev4tXbt6I8NjY22LNpI6ytrQ1VutYmz5mrdO70efgQbkWKaZ1fnX8Xuf/oMe4/eoyJM2cho7MzihUuhHy5c8PBwQHp7OwQGxeH4JAQPHzyBDfu3EVUVJTSPDY2Nji6ZxdyenhoXb+6fuc5/tCJ47hz754oLpfL0WfocPQZOlyr/IZ+huYcn4xz/L9S4xxPRERERERERERERERERJTWmZuZoVCunChZIB9KFsiPkgXzo3DuXLh+/wHq9TfcOgMpbDt6AjcePBTEzM3McHDpAtQuX1bpGGdHR6ycMAaZnZwwZ+MWwbHF23ehY8N6yO3mqrea9el37YXa5crg2ZF9cM+WVa1x+XN4YMec6ahUvCiGL1wqOBYeGYU5G7Zg9aSxuixVrxaMGILi+fLCVo11HWZmZmhWoxrqVCiHFsNGw/OucO3T0Uue8Lr/ABWLFdV1uQZhb2uDYnnzJr8nCuZHqQL5kcvVBbM3bMbsDVt+nSCVGtG1I9ZMGgtHe3uVx8hkMtQoWxpXtm5Az6kz8feZc4Lj3k+f4e9/zqNDg7q6LldvAkNDMWXVOlG8a5OGWDNpHExMTETHTExM0LZubeR1d0ODAUMQGh6Rcuylrx+WbN+NCX166LVuXRq56E9Ef/fZrSxOTji5+k8UyJnjh+MK5sqJk6v+RK9pswS9EBsXh8FzF+HipjWp6jM15mZm6Na0EQZ3aIe8Hm4qjalUvBgubFyD/jPnYvfJM4Jjtx4+xq4Tp9G5cQN9lEsGwuem3/u56b9MTEyQz90t+VmhYAGULJAPxfLmweegYORv1kbq8oiIiIiIiIiIiIiIiIiIiEhNcXFxGDV4uGif79r16mDXwb2wsrJSOq5W3dr45+pFNK5ZD77vfVPiQYGBmDZ+MlZtEq9HSy0yZ8mM4iVLoETpkihRqiRKlimFTJkzo1HNerh6+YrU5ekNeyHZjs3bcNPrhiBmbm6OvUcPoFbd2krHODk7Y9nalcicJTPmz5wrOPbngiVo37kjcuX5+R7HxoS9kIy9wF5Q5ne9RygMHzAEj777XFKuPLmx98h+5MmX95fjbW1t0axVczRr1Rx+vn5I55BOX6XqxaXzF3Fg7z5RfOWGNejco6vSMXZ2dpg4fQrcPTwwsHd/wbG/du5Gl57dULlaFb3UKxXPi5exfdPWlJ8zODlh+NiRmDxmgnRF6ZG9vT2KliiGEqWS54USpUsiZ+5cmDdjNubNmCN1eXo1ZewkhAQHC2Ju7m44fuEM3D3clY7JVyA/Dp85jk4t2+H8P/9+/kIul2P0kBG4fv82zM3N9Vq3Lr149hwrlywTxcdNmYDxUycpHWNhYYG+AwcgV548aNe0FeLj41OOXfO8ir927EaHrp30VjMRERERERERERERERERERGpLj4uAfNHbhWto6tYpygW7R4GSysLpeMq1CqCLeemom/D2QjwDUyJhwaFY8WUvZi6pq9e69a1I9sv4/7Nl4KYmbkp/tw3ChVqFVE6Jr2zPSYu7wWnzI7YMO+Q4Ni2pcfRqH1luOXOoreadY29kIy9wF5QYC+wFxTYC+wFBfaCkJm5KXIVdEHBEjlRsEQOFCiZA7kLueL+jRfo1zBtrzFmL3BeUGAvEBEREREREZE2zKQugIiIiIiIiPQvKjoa38LC1BqTmJio9hh9a9KgPtYtXYL+I0YiMTFRcMzn4SP4PHz0yxy9u3TB7EkT9VWi3oWFR6j9d4mNjUVsbOwPj0dERmpbltoWTJ+G0G/fsGXXbkFcLpfj7MVLOHvx0k/Hm5qaYsOypWhYR/mmtcYuKSlJo/dXZGTUT4/HxMRoWpJGzM3NcWzPbtRr2RreDx4IjkVFRWHfkSO/zOHs5IRT+/bCNXt2fZVJKnB0cMCZA/tRu3lLvPP1FRwLCQ3Fzr/FG8R+L6eHO04f2Id09vb6KlOvYmJi1H5fyuXyX45JSkrSpiy1lSlZAvu3bUWb7j0QHR0tOPbyzRu8fPPmlzka1qmDLatW6KtEg3r73hdv3/v++oXfqV65MratWQVnJyc9VKWagb17ISg4GDMWLBQd87p5C143b/0yx4wJ49G3ezd9lGcQaWVu2r5mNSIiI3Hm/AVBPD4+HkdPnQZOnf7peBsbGxzYvhUliipfEGqsvl/cq/Cr5xl9+xoYiHOXLuPcpctqjfNwc8P2tatRrlQpPVX2a7/rHP+DVtLZv7Ma+hka4BwPcI5XSK1zPBERERERERERERERERFRWlQgZw4sHT0cpQoVQNE8uWFpoXwTu7QsISEBczdtFcVHd++C2uXL/nL8pL494Xn3Hq7e80mJxcXHY/7m7dgwLfWs4WcvAHnc3bQa379tK3g/fY4dx08K4kcuXcaycSNhbpY6tjioVLyYxmNtrKywZ/5sFGnVHsHfhOuc9v1zHhWLFdW2PIOpX7kCqpcpiVIFCyCvuxtMTEykLsngyhQqqPFYU1NTbJg6EfeePsdLXz/Bsf3/nEOHBnW1Lc9gVuzei5CwcEEsj5srlo0d+cu+KJ4vL+YNG4T+M+cJ4st2/YWBHdrAwc5O5/Xq2uU73vDyeSCKb5g2EQVy5vjleDMzM6ybPB4PX7zC07fvUuI3Hz7CySvX0KhqZV2WqzcdG9bDpD49kcNF/c8Bmf//Grzy88eth48Fx1bv3YfOjRvoqkwyED438blJIXumTJg/fDBKFsiPEvnzwtbaWuqSiIiIiIiIiIiIiIiIiIiISEd2b9uJt6+F+9w5OTtj3baNsLKy+ulYdw93rNiwBs3qNhLE9+zYjZETxiJnrpw6r1df+g8ZCDd3N5QsUwrZXVykLkcS7IXkNfcLZ88TxUeMG4VadX+9V/r4qZNw9fIVXPO8mhKLi4vDojkLsGbLep3Wqk/sBfaCAnshGe8RyY4dOoJ9e/YKYh45c+DYuZMaXRdXN1ddlWYwc6bNFMU6dOmEzj26/nJs5x5dceWSJ/7aKfzujrnTZ+HEhTM6q1Fq0dHRGNp/kCA2a8EciarRn7oN66NqjWooWaYU8uTL+1t+Fufl8xeiOQEAVm5cC3cP95+Otba2xrptG1G2cCkEBwUJcv696y906t5F5/Xqy4JZ8xAfHy+IVa5WBeOm/PrzlrXq1sbwsSOxYJbwmWPezDlo26k9TE1NdVorERERERERERERERERERERqe/Yrivwf/NFEHN0sseMdf1hafXzvfmyuWfElFW9MaCJcG3AiT1X0XN0M7jmzKzzevUhISERGxccFsV7jGyKCrV+/X3N/Sa0xN0rT+F97VlKLD4uAZsWHsH0df10WapesRfYCwrsBfaCAnuBvaDAXmAvKOQqkB1jF3dDwZI5kbeIGywszaUuyeDYC8k4L7AXiIiIiIiIiEh7v98n+ImIiIiIiChV69GpI078/Rdcs6v3pfA2NjZYMnsW1i5dDJlMpvZ5v3z9qjReuEABtXMRIJPJsGHZn1g0cwZsbGzUGuuaPTtO7fsbXdu31+jcXwMDRbHMmTIic8aMGuX73aV3dMSl40fRvWMHtcdWLFcWN8/9g+JFfr3IRRllf8siBQtqlIsADzc33Dh7Bo3q1lV7bJP69XH9nzNw03Az4S9K/pZFC/Fvqan6tWrC88RxFMyXT61xZmZmGDd8GA7t3A4Li58vwFMmMTERwSEhonhq+ltmdHbGwhnTcfbQAWTPmlXqcjBlzGjsXLcWGdKnV2tchvTpsXvDekwYMVyj8yp7T1pZWSFvrlwa5dOGlHOTrlhaWuLo7l0YM3QIzMzM1BpbKH9+XDl5HHWqV9fo3MqeYYsU5POrOiwtLdG3W1d4X76IimXLSl0O5/g0hHM853ht53giIiIiIiIiIiIiIiIiItKt0oUKoH/bVihTqCAsNVhfkRYcvXwFvgGfBLHsmTJhbM+uKo2XyWRYNnaEKL73zFl8CRavPTFW7AXdGN29sygW/C0Mj1+/kaAaaWRwSIdeLZqJ4tfu+Ri+GC20ql0TnRo1QP4cHjAx4fYUmrAwN8fQTuLPwFy9d1+CajQTFx+PjQePiOILRgyBlaWlSjm6NW2M0oWE61jDIiOx7egJndSob8rqbFi5ImqXV319qZWlJeYMHSiK/7nzL61qM6RN0ycjh4t6n+v7LzMzM8xVcg3uPXsBv0+ftSmNJMDnJt1IC89NuVxdMKRjO1QuUQy21tZSl0NEREREREREREREREREREQ6tHbFalFs/LSJcFZxL+fqtWqgeeuWglhiYiLWKclrzAYOG4wmLZohu8R7n0mJvQAcP3wMvu99BbHsLtkxasJYlcbLZDIsXvmnKL5vz158/fJFFyUaBHuBvaDAXkjGewQQFxeHiaPHC2IymQwbd2z5ba6L9527uOl1QxCztrbGnMXzVM4xd8l8WH+3DvPq5Su4n8o+h/Izc6bNwptXr1N+rlK9Kjp17yJhRfrRok1LdOjaCfkK5P9tP4uzbuUaJCUlCWLNW7dEtZrVVRqfMVMmTJg+SRRfvWylLsoziM+fPuHQvgOi+OKVf6r8nUmjJ45D9u8+w/HuzVucPHpcJzUSERERERERERERERERERGRdv5ac0YU6zexJdJnTKfS+LLVC6N2C+GelomJSfhrrTivsbp0/C4CfIXfl505ewb0Gi3ek1cZmUyGcUu7i+Kn93kh+Os3XZRoEOwF9oICe4G9oMBeYC8osBfYCwqFSuVC2751ULh0LlhYmktdjiTYC8k4L7AXiIiIiIiIiEh7v+en+ImIiIiIiChVq12tGh55XcX8aVORJ2fOn77W2ckJQ/r1w+Pr1zCkX1+Nz3nB84oo1rJJY5QqXkzjnAQMG9Afj69fw+C+feCUIcNPX5s3Vy4smD4Nj69fQ82qVTQ+5wVPT1FswogRog0sSXU2NjbYuHwZrp05hVZNm8DKyuqHrzUxMUGl8uWwZ+MGXD5+DO6urhqf9/v3pYmJCWZMGKdxPkqeM4/s3okTf/+FujVrwMzM7IevNTMzQ71aNXFy314c2rn9l+/hH4mPj8fV68JNaG1tbTB++DCN8lGyEkWL4O6lC1izeBGKFS7009fa29mhR6eOuOd5CbMmToCpqalG57zl7Y3wiAhBrHTx4mjRuLFG+dRRrHBh3Ll4HotnzUTLJo2Rw91N5c1K09nbo3b1atiyagXe3b+H4X8MUHmsIbRv1RJPb17HhJEjkD1r1p++1iVbNkwaNRJPb15H2xbNNT6nsueeAT17IFvWLBrn1IYUc5OumZqaYs7kSbjneQndO3aAvZ3dT19fvEhhrF2yGHcvXUCxwoU1Pu+FK+K/5cyJEzXOl9p4X76ITSuWo3vHDihSsADMzVVbeG5hYYEyJUti1qSJeP/AB6sXL0I6e3s9V6u6322OT8s4x3OO12aOJyIiIiIiIiIiIiIiIiIi0rU9J8Ub8HVr2ggWKq67AYCCuXKiYvGiglh8QgL2nz2vdX2UuuRxd4NL5kyi+McvXyWoRjo1y5YWxT5+CVTySkrrlPVCWGQkIqKiJKhGfaeueiH4W5gg5p4tK+pVLK9Wnl4txBul/nUqdWwAe/H2HVGsZ4umauepW6Ec3L5bs3fN5z7e+n/QuLbUpmKxosieSXyPuPvkmQTVEEmPz01ERERERERERERERERERERkrO7f88HTx08EMVtbW7Tv3FGtPD369hLFDuzdj4SEBK3qI8NhLyTbu3O3KNa5R1dYWFionKNAoYKoULmiIBYfH4+Dfx/Quj5DYC8kYy+wF0ho3+69eP/2nSDWqVtnlClfVpqCJLB35x5RrHnrlsjg5KRyjgxOTmjasrko/veuv7QpzWjcu+uNVUuXp/xsaWmJpauX/2QEpVbx8fE4sHe/KN6rfx+18rTr1AG2traC2KMHD/H44SOt6jOU/X/tE93PKlWtjPwFC6icw8LCAh27dRbF96aReYGIiIiIiIiIiIiIiIiIiCg1e3b/HV4/9RfErG0t0ah9ZbXytOpZUxT7Z/8NJCQkalWfoZzcc1UUa9qlGswtfvwd1d/LVcAFxSvkFcQS4hPxz4GbWtdnCOyFZOwF9oICe4G9oMBeYC8osBdIgb3AeUGBvUBERERERERE2lL9vyIQERERERFRqrV55QpsXrlCsvNfOHpY5zltbW0xctBAjBw0EK/evIHPw0fw+/ABkVFRsLK0ROZMGVEofwEUL1IYJiYmWp/vvKen4GdTU1PMnDBB67zqen3vrsHP+V8JgV90ntM1e3YsnTMbi2fNxL0HD/H42VN8/vIVsXFxsLWxgWv27ChepDBy58ypk/N9/7fM6eGOvt266iS3qjzc3PRyLVVVvXIlvZy/XKlS2Lt5E6KionD7ng+ev3yJ4NBQJCUlIZ29PXJ6eKBMieLI6Oys9bn8PnzAi9evBbEOrVqiaKFCWufWN11e/24d2qNbh/Y6yfVf9WrWRL2aNfEtLAy3vL3x6s0bhH4LAwA4OqRD7pw5UbZkSTikS6f1uW7cuYuIyEhBbGj//sicKZPWudUxdewYTB07xqDn/C993KvNzc3Rp1tX9OnWFf4fP+Kujw/e+fohIjIS5uZmcM7ghAL58qJ08eIwNzfX+nznL3uKYrOnTNI6rypkMhmKFymC4kWKYGj/fgCAsPBwvHrzFn4f/PHp8xdEREYiJjYW1lZWcHRwQHpHB+TJlQsF8+XTybOCgj7u1U4ZMmDG+HGYMX4cHj97hoePn+BDQACiY2JgbWWF7FmzokihgiiUP79Ozvf939IhXTqMHz5MJ7m1Yci5SV/36gJ582Lj8mVYs3gR7vj44OnzFwgMDkJ8fALs7ezg4eqKksWLwSVbNq3PFRsbi2s3bwlilcqXQ+N6dbXOrQqpn1sBwN3VVXCvjIuLw6u3b/Hezx8fAwIQFh6O6JgYmJmZwjGdAxwdHODqkh0lixaFpaWlzurgHK8dfT3vaIJzvP5wjiciIiIiIiIiIiIiIiIiIpJWbFwczt+8LYp3adxA7VxdGjeEl88DQeyE51X80a61xvVR6pQ1ozP8PwvXaYRHRUlUjTSyZhSvnf/drgElU9YLQHI/2NnYGLga9Z3wvCaKdWpYHzKZTK08berWwvCFSxATG5cSu/fsBT58+YrsmTJqXae+vPbzx6fAIEHMxMQEVUqWUDuXiYkJKpcoht0Bn1JicrkcRy9fwdBOxrFe0hCK5MmFD1+E94jPQUE/eDVR2sfnJiIiIiIiIiIiIiIiIiIiIjJGp46dEMWatmwOe3t7tfJUq1kdrm6u8PP1S4l9/fIFd27eRvlKFbSuk/SPvZC8x+fFcxdE8Y7duqidq2PXzrh+1UsQO3n0BPoNGqBxfYbCXmAvKLAX6L/Wr14rig0aMVSCSqRz6vhJUaxjt85q5+nYrTP27tojiJ08dgKzF83TuDZjkJCQgMF9/0BiYmJKbOT40ciTL6+EVZG+3PS6geDvPh/g5u6GKtWrqpUnXbp0aNy8qdL3RKEihbWuU9+U3Ss7dtVkXuiChbPnC2IX/jmHuLg4WFhYaFwfERERERERERERERERERERacfzpLcoVrNpGdjaW6uVp0y1Qsji6oRPfv+utwj+GoZHt1+jeAXjXl8TFxuPGxcfieJNOlVRO1eTTlXhc/2FIOZ50hvt+9fVuD5DYS+wFxTYC+wFBfYCe0GBvcBeoH+xF5JxXmAvEBEREREREZFumEldABEREREREZG2cufMidw5c+r1HBc8rwh+7tGxI/Llya3Xc/5uTExMUKp4MZQqXkxv53jn64s3794LYtPHjYO5ubnezvk7srGxQbVKFVGtUkW9neP796SFhQWmjRurt/P9rhzSpUOd6tVRp3p1vZ3jgqen4GenDBkwatBAvZ3vd+WSLRtcsmXT6zm+f1/Wrl4Ntaqqt3mqLqWzt0fJYkVRslhRyWrQh0L586NQ/vx6yx8TE4Prt28LYqMGD0KG9On1dk51GWJu0jdzc3NUKFMGFcqU0ds5rt++g6ioKEFszuRJejtfamBhYYGC+fKhYL58UpeiU7/jHJ9WcY7nHE9ERERERERERERERERERCSVGw8eITo2VhBzzZIZHtnVX5dSrVQJUczr/gPExsXBkl8g/luJi4sXxZwcHCSoRDqxcXGiWAaHdBJUQlKLjRe/H2QyGTKkSx39cOnOXVGsqpL5/ldsra1RqmABXLt3XxC/eOsOOjduoHF9+hbwNVAUc8uSGensbDXKVyRPbgBnBLHzN25haKf2GuVLjextbUSxsIhICSohMg58biIiIiIiIiIiIiIiIiIiIiJj5HnxsihWuZr6X5otk8lQqWoV/LVztyB+6fwFlK9UQeP6yHDYC8BNrxuIjo4WxFzdXOGRw0PtXFVqVBPFblzzQmxsLCwtLTUt0SDYC+wFBfYCKbx++Qo+d+8JYoWKFEaBQgUlqsjw3r19h/dv3wliFhYWKFexvNq5yleqAAsLC8T95/Mob169hu97X7i5u2lbqmSWLVqKhz4PUn7Omz8fho8dJWFFpE+eFy+JYpWqVoFMJlM7V5XqVbF31x5B7PL5ixg9wbi/lyQmJga3rt8UxStXV39P75y5csLF1QX+fv4pscjISNy6flOjey8RERERERERERERERERERHpxu3LT0Sx0lUKqJ1HJpOhVOUCOLHnqiB+69IjFK+QV+P6DOH+zZeIjRbuvZvF1QnZPTKpnat0VfGaM5/rzxEXGw8LS3ONazQE9gJ7QYG9wF5QYC+wFxTYC+wF+hd7IRnnBfYCEREREREREemGidQFEBERERERERm7V2/e4L2fX8rP1tbWmDyGGwCmRucvewp+Lla4ENq3ailRNaSN85eFm/n27dYVOdzdJaqGtHHeU/i+HDdsKNLZ20tUDWkqKioKN+7cSflZJpNh9qRJElZEmrp68yZiYmJSfs6SKROG9usrYUWkqe/n18b16qFSuXISVUOpGef4tINzPBEREREREREREREREREREf3I7cfijf0qFCuiUa4cLtmRxclJEIuJjcOjV280ykepU0JCAt59DBDEZDIZiuc37g0ede2Vn78oVjJ/PgkqIam98hX3QsGcOWBpYSFBNer5EhwCv0+fBTEzU1OULqT+BrAAUKGo+P5y58lTjXIZSmDoN1Esg4ODxvmclIw19muga/6fv4hiTo6aX1Oi1IzPTURERERERERERERERERERGSMkpKS4HP3nihevlIFjfKVq1heFPO+fVejXGRY7IVkd2/fEcXKVdTsGuTImQOZs2QWxGJiYvD44SON8hkKeyEZe4G9QEKnT5wSxRo0aShBJdK5e0s8LxQvVQKWlpZq57KyskKxksVF8dT8nnj14iUWzJyb8rNMJsOfa1bAIhV8noI0o+w9oWyuV4Wye4vP3XuQy+Ua5TOUR/cfIDY2VhDLkjULPHJ4aJRP2bOG953UOy8QERERERERERERERERERGldklJSXjq81YUL1Zes/3jipXPI4o9vmv8ezk/vvNaFNP0GrjkyASnzMI9KWNj4vHqsZ9G+QyFvZCMvcBeUGAvsBcU2AvsBQX2AimwFzgvKLAXiIiIiIiIiEgXTKQugIiIiIiIiMjYXfC8Ivh5YO9eyJ41q0TVkDa+/1vOmjQJMplMompIGxevXE35ZztbW0wYMVzCakhTERERuO3978bMbi4u+KNXTwkrIk1duXEDcXFxKT+3btoUpYoXk7Ai0tT398pJo0bCxsZGompIGxc8PVP+2cTEBLMmTZCwGkrNOMenHZzjiYiIiIiIiIiIiIiIiIiI6EcevnwlihXLp9mmdgBQPL947IMXLzXOR6nPhVt38C0iQhCrVLwYnB0dpSlIIofOXxLFmtWoZvhCSHKHzl8UxVJLLyibv/O4ucLW2lqjfKnxHhETFyuKWZiba5zPwkI8NiQsHO8/BmicMzWJT0jA83fvRfFsmTJKUA2R9PjcRERERERERERERERERERERMbozavXiIyMFMRsbW2RO6/4S8BVUaxkcVHs4f0HGuUiw2IvJHt0/6EoVrSE5vsyFitRXBR76GPc14G9kIy9wF4goSsXL4tihYsWlaAS6Tx6IO7Xolrs3at0Xrh/X+N8UpLL5RjSbyBiYmJSYp17dEWlqpUlrIr07dED3d0r8+TLK9o/OTw8HG9ev9Eon6E8VPa8oM28oOxeaeTPC0RERERERERERERERERERGmZ3+vPiI4U7lNpbWsJ9zxZNcqXv5iHKPbioXjPRmPz4pGvKJa/qLvG+ZRdh+cPjPs6sBeSsRfYCwrsBfaCAnuBvaDAXiAF9gLnBQX2AhERERERERHpgpnUBRAREREREREZu/Oenin/7OjggLFDh0hYDWlKLpfj4tUrKT9XrVgRDWrXkrAi0tTjZ88Q8Plzys/D/xiATBkzSlgRaeqy13XEx8en/Dx17BhYWlpKWBFp6vzlf++VZmZmmDFhvITVkDYu/OdvmTtHDvTq0lnCakhTYeHhuHPPJ+Xnzm3boHCBAtIVRKka5/i0g3M8ERERERERERERERERERER/cgb/w+imFuWzBrnc8mcSaVzUNoUFRODiSvWiOITenc3fDESunL3Hg6cuyCI5XJ1Qbv6dSSqiKTy4p0vVu/dL4hlcEiH/m1bSlSRepTeI7Jm0TifsnvEW/+PGuczhPT29qJYWESExvlCw8KVxl/7+cM9m2Yb66YmJzyvIfhbmCBmbmaGCsWKSFSRbrz9+BHT12zA9QcP8fbDRwSFfkNiUiLSp0uHDOnSIbebKyqXKIaqpUqgaN48UpdLRoLPTURERERERERERERERERERGSs3r5+I4q5uLlqnM/F1UUUC/gYgJiYGFhZWWmcl/SPvZDs7RvxdXB1c9M4X3Yl1+Htm7ca5zME9kIy9gJ7gYR8vO+JYoWLFhb8fPnCJRzefxC3b97C+zfvEBUVBcf06eGc0Rm58+RG9To1UbdBfbh7uBuqbJ16+1r8nnV11/G8oOQcqcHmdRtxzfNqys8ZM2XCzAVzJKyI9C0qKgqfAj6J4m5avidePn8hiL19/Qa5cufSOKe+KbuXazUvuCh7XhDfj4mIiIiIiIiIiIiIiIiIiMgw/N9+EcWyuDhpnC+zkrFfA0IRGxMHSysLjfPqm9Lr4OascT5l11DZOYwJeyEZe4G9oMBeYC8osBfYCwrsBVJgL3BeUGAvEBEREREREZEumEhdABEREREREZExk8vluHT1WsrPo4cMRnpHR+kKIo09fPIEX74Gpvw8Z8okCashbVzwvJLyzxmdnTHijz8krIa0ccHTM+WfC+bLhy7t2kpYDWnj4n/elz07dUSeXDklrIY0FRIaCu8HD1J+nj5+HMzNzSWsiDR1+eo1JCYmAgAsLS0xdewYiSui1IxzfNrAOZ6IiIiIiIiIiIiIiIiIiIh+xi/gsyjmmiWzxvmUjX0fEKBxPko9/D9/QbMho/Do1WtBfEjHdqhRtrREVRneySvX0HrkOMjl8pSYjZUVNs+YDEsL493gknTvxoNHaDBwKKJjY1NipqamWDNpHDKmTy9hZarzDfgkiml3j8giin0KCkJsXJzGOfUtg6ODKOb/+YvgPa4O30/iawoA75Vc67Ro7b4DoljlEsXgYGcnQTW6c+3efczbvA2X73jDN+ATIqOjERMbh4CvgXj8+g2OXLyM0UuWo1ynHqjWsx8OX7iscQ9R2sDnJiIiIiIiIiIiIiIiIiIiIjJmvu99RTEXVxeN82XKnBmWlpaCmFwuh5+S85BxYS8kU1afq5urxvlclIz1ffde43yGwF5Ixl5gL9C/QkNDEfBR/Hkh9xweAIA7N2+hapmKaFqnITav24iHPg8QFhaGhIQEBH79imdPnuL4kWMYNWg4SuQtjD969sV7I+9/Zfx8lb0nNJ8XXJWM9X2f+q7Lxw8fMG38ZEFszqJ5SJ9KPktBmvH39RPFrKyskDFTJo1zKns/Gfu9Utk9TNk9X1XKnjWM/RoQERERERERERERERERERGlZQF+gaJYFlcnjfM5ZXKAhaXwe6blcjkCfMXnMSaflNSX1cVZ43xZXMTXMMD3q8b5DIG9kIy9wF5QYC+wFxTYC+wFBfYCKbAXOC8osBeIiIiIiIiISBfMpC6AiIiIiIiIyJjJZDJ8fvFM6jJIB4oWKoSEwC9Sl0E6MLhvHwzu20fqMkgHFs+aicWzZkpdBunA7YvnpS6BdCC9oyPivnySugzSgSYN6vO5h3SGc3zawDmeiIiIiIiIiIiIiIiIiIiIfibo2zdRLGtGzTe1y+osHhsUKj4HpQ1fQ0Jw//lLHLvkid2nziAiKlpwfGin9pg7dKBE1RlGYmIi3vh/wM2Hj7H75GlcvH1XcNzZ0RE7585A2cKFJKqQDCUpKQl+nz7j9uMn2PfPeRz3vIqkpKSU47bW1lg9aSyaVq8qYZXqCQwNFcWUzfOqyursBJlMBrlc/t15viF7powa59Wn3K4uMDExEfwtwyIj8fTNWxTMlVPtfLcfPVEa/xoSonGNqcWhC5dw+Y63KN6ndQsJqpHOrYeP0WHsRNQuXxabZ0xGxvTppS6JDITPTURERERERERERERERERERJRaBAUq+dLsbFk1zieTyZA5S2b4vvf97jxByJNP47RkAOyFZMFBwaJYFi2uQ9as4rFBgUEa5zME9kIy9gJ7gf7l993fDAAsLS1hYWGBTWs3YMzQkUhISFApV2JiInZt24kjBw5j066tqN+4oa7L1ZvAr7p9TyibU4x9XlBmxB9DERYWlvJzjdq10LZTewkrIkNQ9n7InDWLVjmVvZ+Cgoz7PRGo7F6p5J6vKmXzgrJnEiIiIiIiIiIiIiIiIiIiIjKMkMAwUSxjFs33FJTJZHDK7IAAX+Gag9CgCI1zGkJosLg+56yOGudzziq+hsZ+DdgLydgL7AUF9gJ7QYG9wF5QYC+QAnuB84ICe4GIiIiIiIiIdMFM6gKIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIjI8MIiIpGQmCiKW1taapzT2ko8NiRMvIEgpR7fIiKQr0lrQUwulyMyJgaJSvoHAMoWKYRp/fugRtnShijRINbvP4Qpq9YJYvEJCYiKiVH6egtzc3Rp3ACT+vZCFmcnQ5RIBnLqqhd6TJ4hiCUmJSIyOgZyuVz0ehMTE7SoWR3T/+iLXK4uhipTJ0LCwkUxKyXzvKpkMhmsLCwQHRv73XnCkD1TRo3z6lP6dOlQOFdOPHj5ShDff/YCpuTKqVYu/89f4HX/odJjQaHfNK4xNfgSHILh85eI4mUKF0TzGtUkqEh/zM3MYGZqKurz7527cQvlOvXAseVLUCi3er1ExovPTURERERERERERERERERERJQWhIaEimJW1tZa5bS2sRHFQoKDtcpJ+sdeAMLCwpCQkCCKW1tbaZxT6TUIMd5rALAXAPaCAnuBFD5/+iyK2dnbY8fmbRgxcKjSMWZmZjAxMUFcXJzS4xEREejQoi1WbliDTt276LRefVH+ntB8XrCxEb+fQoJDNM4nhQN79+PU8ZMpP1tbW2PpmuUSVkSGEhoi7lVrre8R4vGhRv6eUHYdtLlXKpsX4uPjER4eDnt7e43zEhERERERERERERERERERkWbCQyJFMUtrC61yWikZHxYSoVVOfYoIi0JignhvPSsrza+DlY147DcjvgYAewFgLyiwF9gLCuwF9oICe4G9QP9iLyTjvMBeICIiIiIiIiLdMZO6ACIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIjK8qJgYpXFrS0uNcyobGx0bp3E+kp5cLse3CNU2JnRycMDMQf3RrWkjmJiY6Lkyw4qNi1f5OlQoVgR/jhmBonnz6LkqkkJ8QoLKvVAwZw78OWYEqpQqoeeq9CNayX1Cm3sEAFhbWSI6NlZ4nu9+Nja1K5TFg5evBLFNh45gSKd2cLS3VznP0h27kZgo3kwWAGKM/BpoIzExET0mT8fn4GBB3NzMDCvGjYZMJpOoMu25Zc2CehXLo3LJ4iiUMydyumSHtVXyeyQmNhZ+nz7jms8DHDx3AWdv3BKND/gaiBbDR8Nzy3pkcXYydPmkB3xuIiIiIiIiIiIiIiIiIiIiorQgKipKFLOyttYqp5W1lSgWHa18LTMZD/YCEK3kGgDaXQdrJdcgxoivAcBeANgLCuwFUggPCxfFoqOiMHLQMEGsWMni6DdwAGrWrYUsWbNCJpMhKDAQly9cxpYNm+B54ZLg9UlJSRj+xxAUKloYxUsa/zp8ZXODtRbvCWXvp5joaI3zGVpwcDDGDhsliI2ZPB45cuaQqCIypKgoca8qm+PVoez9FG3k74loJddB2T1fVT+6z8ZER8Nejc+0EBERERERERERERERERERkW7ERIv3Wba0stAqp6W1eHxMjPHu56zsGgDKfw9VWSm5hrE/OI+xYC+wFxTYC+wFBfYCe0GBvcBeoH+xF5JxXmAvEBEREREREZHu8Ju+iIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIfkPxCQlK41YWWmxqZ2kpisXFx2ucj1KXoG/f8Mfs+SjUoh3W7z+EpKQkqUuSxPX7D1GuUw+0GDYatx8/kbocktCTN29Rt/9g1Ow9AOdu3JK6HLXFJySKYtrcIwDAUsl4Y79P9GvTEmampoLYl+AQDJ67CHK5XKUcF27extp9B394PO4H9+S0YMLy1bhw644oPrlfLxTLl0eCirTXpm4tnF2/Cs+P7sfycaPQtm5tFMqdE9ZW/z4HWVlaIo+7G7o3a4yjK5bAa8cm5M/hIcrl9+kzOk+YYsDqyVjwuYmIiIiIiIiIiIiIiIiIiIiMVbySNV1WVuI1wuqwsrISnyeOX5xt7NgLQHz8D9bcK/k9VGWpZGycEV8DgL0AsBcU2AukEBcbK4pFRUUh9j/xSTOm4NLNq+jUvQuyZssGmUwGAHBydkbLtq1w7OxJrNq4FmZmZoI8sbGx6NWpOxITxevZjY2y94Sy97aqlL0fjH1e+K8JI8bi65cvKT8XLFwIg0cMlbAiMqQEpfcIzd8PAGCp5B5j7O8JQ8wLgPFfByIiIiIiIiIiIiIiIiIiorQqIV68rsnSylyrnJaW4vEJcca7R6WyawAAFlpcB2Vjf7R201iwF9gLCuwF9oICe4G9oMBeYC/Qv9gLyTgvsBeIiIiIiIiISHdMpC6AiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIjIdMJtN8rJKYXC7XvBhKld59DMDQ+YtRu+9AfPwaKHU5kjl97Tpq9BqAmes2SV0KSez6/YdoMngEBs6ej/iE1L3Rpzb3iB+NN/bbhFuWLOjUqL4ovv/sefSeNguR0dE/HX/k4mW0HjkOSUlJ+irRaG04cBjLd+8VxetXqoBR3TpLUJFubJ89HZVLFFNrTIn8+XB12wZUL11KdOzavfs4fvmqrsqjVIbPTURERERERERERERERERERJQa6GftmJEvHiOl2AvJtFpzz2vww/G/23XgNfjx+NR4HX43v/objZsyAaMnjoOJyc+/KrNzj65YtnalKP7qxUsc2ndQqxqlotV7IhW/H87/cw57duxK+Vkmk2HZ2pUwNzeXsCqSGu8RyXT9vAAY/2dxiIiIiIiIiIiIiIiIiIiIfivaLZH4wbohLXNKQPdrKrWpRiLsBQDsBQDshf9jL4C98H/sBbAX/o+9QArsBXBe+D/2AhERERERERGpy0zqAoiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiMjwzM2Uf9w8OjYWdjY2GuWMjo0VxSwtLDTKRcbB0d4e0bevCmKJiYkIDY/Ap8Ag3Hv2HKeueeHYpSuIT0gQvO76/Yeo338wzq5fhcxOGQxZts4N7tgWgzu2FcSiY2IRGhGOV+/9cPvJU+w99Q8evHwleE1iYiLmbNyC0PBwLB41zIAVk740rV5V9J6IjYtDaHgE3gcE4M7jp9h/9jyu338oGrv58DEEhn7DnvmzYGJiYqiSNWZuZiqKKZvn1RGj9D5hrlVOQ5g/fDCu3ruP137+gvjuk2dw8fZdDGjbCvUqlod7tqywsrDA5+Bg3HjwCDuPncTZG7cEY7I4O+FTYJAglhbvlYcuXMLwhUtF8WJ582DbrGlabaKbWtlaW2PPglmo1LU33vh/EBybs3EzGlerLFFlpCt8biIiIiIiIiIiIiIiIiIiIqK0wNxcvKYrOjpGq5zR0dGimIWlpVY5Sf/YC4C5+Q/W3EdHw87OTqOcMUqugaURXwOAvQCwFxTYC6RgpqQXFIoUK4Ixk8arnKtzj644evAwzpw8LYivXrYCrdu30bhGQzA3N0fsd2vklb23VZUa5wUAiIyMxLABgwWxnv16o2yFchJVRFJQNi8om+PVEaPkHmPs7wll90pt5oUfXUNLy7T3ORQiIiIiIiIiIiIiIiIiIqLUwMxcvE9nbHS8VjljY+JEMXNL5esWjYGyawAAsdFxsLGz0ihnbLT4GlhYGO81ANgLAHtBgb3AXlBgL7AXFNgL7AX6F3shGecF9gIRERERERER6Y7xf/sjERERERERERERERERERERERERERERERERERERERER6Zy1lfIvN4+JE29Mp6ro2Fjxefjl4WmOqakpnBwdUCh3TnRu3AC75s7E40N70aByRdFrX/r6of/MuRJUqX/WVpbI6uyMKqVKYESXjri5eyv2L56HbJkyil67eu9+7D97XoIqyRAsLSyQ2SkDyhYuhD/atcaFjWtwYeMa5M/hIXrt0UueWLpzj+GL1ICVkvtEjJJ5Xh3RMcruE8rvR8bEwc4Oe+bPgpODg+hYwNdATFm1DuU69UCWGvXhWKkm8jVpjW4Tp+HsjVuC107s0wPlihQW5Uhna6u32qVw/uZtdJ80HYmJiYJ4bjcXHF2xBOns0tbvqw5He3tM/6OvKH7v2Qv4f/4iQUWkb3xuIiIiIiIiIiIiIiIiIiIiotTG2tpaFIuNidEqZ0y0eLy1tWZfwk2Gw14ArJRcA0C76xCt5BpYGfE1ANgLAHtBgb1ACjY2yt8TADBw2BCYmpqqlW/IqOGi2L073ggNDVW3NINSNjfEaPGeiImOVukcxmbmpGnwffc+5ecsWbNg6pwZElZEUlA2d8cq+QyJOqKVvCeU3YuMibJ7eYwW10HZvJB8HuO+DkRERERERERERERERERERGmVpbV4n+W42HitcsZGi/eCtrIy3v2cLX9QW2yM5tchJkZ8DZRda2PCXmAvKLAX2AsK7AX2ggJ7gb1A/2IvJOO8wF4gIiIiIiIiIt0xkboAIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiMrx0trYwNTUVxaNiYjTOGa3ky8fTp0uncT5KPVyzZMaBJfPRs3kT0bHT167j9LXrElRleI2qVsalTWvhkS2r6NiYpSsQn5AgQVUkhQrFiuDS5rUoWSCf6Njs9ZsRFPpNgqrUk0HJ/K1snleVXC5HTJx489PUcp8okic3rmxdjwI5PNQea2JigpFdO2FS314Ij4wUHc/i7KSDCo3DNZ/7aDtqPOLihZvkumbJjBOr/kSmDOklqsx4tKpdU+nf/NyNWxJUQ1LgcxMREREREREREREREREREREZs/RK1vhER0VplVPZ+PQZMmiVk/SPvQCkS5dO+Zr7qGiNcyq9BumN9xoA7AWAvaDAXiCFH/2NTE1N0aRlM7XzVa5WBRkzZRLEkpKScP3KNY3qMxTl7wnN5wVlc4qycxiT2zduYd3KNYLYvKWL4ODgIFFFJBVl80KU1vcI8XvC0cjfE8qugzb3SmXzgrm5Oezt7TXOSURERERERERERERERERERJpLl95WFIuJ0nyfTgCIiRbv05kuvZ1WOfXJLp01TE1NRPGYaM2vQ0yU+Bo4GPE1ANgLAHtBgb3AXlBgL7AXFNgL7AX6F3shGecF9gIRERERERER6Y74vzAQERERERERERERERERERERERERERERERERERERERFRmieTyeDkkE4UD/gaqHHOgEDxWCdHB43zUeoik8mwbOxIFMyZQ3Rs3b6DElQkDdcsmbF5xhTIZDJBPOBrII5e8pSoKpKCg50dds2dCStLC0E8OjYW246dkKgq1Smbv5XN86oKCAyCXC4Xn0fJvchY5XDJjqvbN2L2kD/g7Oio0phcri44s2Y5Zg0eAAAIj4oSvcY1S2ZdlikZ76fP0Gr4WETFxAjiWZyccGr1MrhlySJRZcZFJpOhVrkyovjj128kqIakwucmIiIiIiIiIiIiIiIiIiIiMlYZnJxEsYCPARrnk8vl+Pzpsyju5Cw+DxkX9kLyOh9l1+GTFtchIEA81pivAcBeANgLCuwFUnDO6Kw0XqBQQdjZ2WmUs3TZ0qLYyxcvNcplKMp6VZv3hLI5xZjfD3FxcRjc9w8kJSWlxOo1rI8WbVpKWBVJRVmvfg74pFVOZe8nJyX3ImOirD5l93xVKZsXMjhl0DgfERERERERERERERERERERacfRyV4U+/opRON8crkcQZ+/KTmPZuuwDEEmk8Ehg7i+wIBQjXMGBoivoTFfA4C9ALAXFNgL7AUF9gJ7QYG9wF6gf7EXknFeYC8QERERERERke6YSF0AERERERERERERERERERERERERERERERERERERERERScM1SxZRzO/TZ43z+X/+Ioq5Z82qcT5KfczMzDC6RxdR/Iq3DxISEiSoSBoVihVBzbKlRfGLt+5IUA1JySN7NnRsUE8UTw294Kbze4R4bBYnJ1hZWmqcUwo2VlYY0aUjnh/bj4NLF2Bg+zaoVKIY8nm4I1OG9Mji7ISSBfKhV4umOLBkPh7s343KJYunjH/34aMoZ8GcOQz4G+jHo1ev0XTwSHyLiBDEnRwccGLVUuRydZGoMuOUx81VFPsarPkGy5Q68bmJiIiIiIiIiIiIiIiIiIiIjJGbu5so5u/nr3G+r1++IDY2VhCTyWRwVXIeMi7shWSu7uL1Xn6+fhrn+6DkGrp5uGuczxDYC8nYC+wF+peruxtkMpkont0lu8Y5sytZbxwcFKxxPkNwdVP2ntB8XvD3VzIvuBvvvHD04BE8ffwk5WdbW1ssWvmndAWRpFyUrJGPiYnB1y/izxuq6oOy94SR3yuV3cP8tXheUHafNfZrQERERERERERERERERERElJZldXUWxT75BWmcL/hrGOJi4wUxmUyGrG7i8xgTZfUF+AdqnO/TB/FasaxuGTXOZwjshWTsBfaCAnuBvaDAXmAvKLAXSIG9wHlBgb1ARERERERERLpgJnUBREREREREREREREREREREREREREREREREREREREREJI2cLtlw98lTQczv02eN8ykbm9Mlu8b5KHWqX6mCKBYZHY13HwOQ281VgoqkUb9SBZy/eVsQe/z6rUTVkJTqV66IzYePCWKPX7+RqBrVKZu/dX2PyOGSTeN8UrOxskKDyhXRoHJFlcd8DgrG15BQQczR3g45sqfe6wAAL9/7ovHA4Qj69k0Qd7Czw9EVi1EwV06JKjNezo6Ootj3149+D3xuIiIiIiIiIiIiIiIiIiIiImOTQ8l6H39fP43z+SkZmzVbVlhZWWmckwyDvZAsR86c8L59VxDz99P8Oii7hjly5tA4nyGwF5KxF9gL9C8rKytky54NH/w/COLpHBw0zungKB4bEhyscT5D0PV7Qum8kMt454XYmBjBz5GRkSiSM7/Wea9evgIHUxtR/H3QRzgqWYdNxsHW1haZs2TG5+8+O+Ln64eMmTJplPODn78opux9Z0yU3cu1mheUPGvkyGnc14CIiIiIiIiIiIiIiIiIiCgtc8khXgfxyT9I43yf/AJFsYxZHWFpZaFxTkNwyZEJj+8K91X95Kfb66DsWhsT9kIy9gJ7QYG9wF5QYC+wFxTYC6TAXuC8oMBeICIiIiIiIiJdMJG6ACIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIpJGkTy5RTGf5y80zufzTDxW2TkobXO0t4eDnZ0oHvTtmwTVSMctaxZRLPg3uwaUzC2Lsl4Ik6AS9Sibv1+890VUTIxG+ZTdI4r+ZveIhy9fiWKVSxSHiUnq3QLmrf8H1P9jKD4HBwvittbWOPTnQpQskF+iyoxbVEysKGZtZSlBJSQ1PjcRERERERERERERERERERGRscmVJzdsbGwEscjISLx68VKjfPe9fUSxwkWLaJSLDIu9kKxwMXGNyn4XVd2/Jx6r7BzGhL2QjL3AXiChosWLiWKxseI1sqqKVba+1tpa43yGoKxflb23VaV0XihaVON8RIam9D2h4b3y5fMXiIyMFMTs7OyQI2cOjfIZSpFi4vfsA5/7GudTeq808ucFIiIiIiIiIiIiIiIiIiKitMwtdxZY2Qj3DYyOjMX7lwEa5Xt2/50olqewm0a5DElZjcp+F1UpG5u3iHFfB/ZCMvYCe0GBvcBeUGAvsBcU2AukwF7gvKDAXiAiIiIiIiIiXTCTugAiIiIiIiKSTlJSEu4/eozHz57i85eviImNhZ2tLVyzZ0PxIkWQ08ND6hJV8vrtW9x/9Ah+Hz4iIjISVpaWyJIpEwrmz49ihQul6i+7J8OKj4/H3fv38ezFSwQGBSEuPh72dnbwcHNDyWJFkT1rVqlL1JtvYWF48+49/D98wMdPnxAZFYXomBjYWFvDIV06ZHR2RvEiheGaPbvUpaokOjoat+/54MWrVwgODUFiYhLS2dsjV44cKF28GJydnKQu0SDSwvwYGBSE2/d88ObdO4SFh8PU1AQZHNMjb+7cKFuyBKysrKQukVSUFvpRW2lhbkorz4/aiIuLwy1vb/j5f0BgcDDCIyJga2MDl2zZULRQIeTJlVPqElXyOz/3/NeHgAB4+9zHOz8/hEdEwMLcHM5OTsifNw9KFSsGc3NzqUv8pbDwcNy+dw8vX71GaFgYACC9gwNy58qJMiVKIJ29vcQV6l9YeDju3POB34cPCP32DRGRkbCztYWjgwNcs2dHqeLF4JAundRl/hKfe9KOtDC3EBERERERERERERERERHR76VMoYKi2I0HjzTK9db/Az4FBQlilhYWKJw7daytIt2ytBCvk7CysFTyyrTLUslaESsLCwkqIakpfz8Yfy9kcXaCS+ZM8P/8JSWWkJiIO4+foGqpkmrnu/7goShWqmABrWpMbY5fviKKNaxSSYJKdMPv02c0GDgMH798FcStLC2wf/E8VChWRKLKjN/n756ZACCjo6PhCyGjwOcmIiIiIiIiIiIiIiIiIiIiMiYmJiYoXqoEvK5cE8Rvet1A7rx51M530+uGKFayTCmN6yPDYS8kK1WmtCh267r4d1HF2zdv8fnTZ0HM0tIShYoU1iifobAXkrEX2AskVLp8WZw6flIQCwkJ0ThfSHCwKObkbNz7dpcqK54X7nv7IDY2FpaW6q0FjYmJwX1vH1Gc7wlKTUqVLY3z/5wTxG5dv4kefXupnevGteuiWPFSJYz+Ow0KFysCCwsLxMXFpcQCPgbg/bv3cPdwVzvfTS/xdShZmvMCERERERERERERERERERGRVExMTFCguAfueT0XxO/ffAn3POp/L/z9Gy9FsUKljH8v50Klc4liD26KfxdV+L/9gqDP3wQxC0tz5C7kqlE+Q2EvJGMvsBcU2AvsBQX2AntBgb1ACuwFzgsK7AUiIiIiIiIi0gUzqQsgIiIiIiIiw/P/+BFLVq3B7v37EajkS8EV8uXOjd5du6Bf926wsbExYIW/FhUVhbVbtmLj9h148fr1D1+X0dkZndq0xrAB/eGSLZsBK9S/hIQEPHr6FHd97uPOvXu463MfD58+RXx8vOB1k0ePwtSxYySpsVOffth76JDSY6+878DDzc3AFSn37OVLLFm5GvuPHkVYePgPX1eyaFH079kDXdu3g5lZ6v3PKlFRUbhx5y68bt3CzTt38ejpU/h9+KDS2EwZndG8YUP06NQJZUqW0HOl6rvl7Y0lq1bjxD9nER0drfQ1JiYmqFi2LAb37YNWTZsYuEL9Swvzo1wux4Gjx7Byw0Z43bqFpKQkpa+ztrZG47p1MWLgH0bZj9p6/fYt7vrcx+3/z/H3HjxAeESE4DVVK1bEhaOHpSlQBWmhH3UhLcxNaeH5UVunz1/Aqg0bcdnLC1FRUT98nYebG7q2b4eBvXvBKUMGA1aomt/tuUeZhIQEbNvzF9Zu3oJ7Dx/+8HXp7O3RplkzDB84APnzqP+FAfp29tIlLFu7Ducve4r+HUDB3NwctatVw9AB/VC7WjUDV6hfwSEh2LH3b2z/6y88ePwEcrn8h6+VyWQoUrAAurZvj67t2yFD+vQGrPTn+Nzza4+ePkWZmrWV9nnX9u2weeUKCaoSSytzCxERERERERERERERERER/Z7KFy0MK0sLxMT++wXivgGf8O7DR3hkV29dn6f3PVGsYrEisLK01LpOSl0SEhIQGPpNFM/sZHxr6/Tpk5J1l7/bNaBknwJTby9UL10KO0+cEsQu37mHqqVKqpUnMjoad588FcVrlC2tVX2pSUJCAg6evyiIWZibo3nN1LnO81NgEBoOHIr3HwMEcQtzc/w1fzaqlyklUWWpg9f9B6JY1ozOElRCUuNzExERERERERERERERERERERmjqjWqwevKNUHsyiVPdOreRa08crkc1zyviOLVa9XUqj4yHPYCUK5ieVhZWSEmJiYl5vveF+/evoNHDg+1cl295CmKla9cEVZWVtqWqXfsBfaCAnuBFGrWqYWZk6YJYo/u/3hPzl95oGR9bZasWTXOZwg5cuaAm7sbfN/7psRiY2Nx0+sGqtZQb534Ta8biIuLE8Ry5MoJdw93ndSqDxYWFnBwcNAqR1xcnGjvdlNTU9jZ2YleK5PJtDoX6V/VGtWxYNY8QezqZU/I5XK1/35XLyu7R9TQpjyDsLa2RtkK5UT1X7l4Ge49uqqV6+2bt/D38xfEbGxsULZCOa3rJCIiIiIiIiIiIiIiIiIiIs2VqVYQ97yeC2J3PJ+gaeeqauWRy+W4e1W8T2fZ6oW1qs8QipXLA0src8TG/Pud0wG+gfjw7guye2RSK9fdK+JrULxCXlhaWWhdp76xF9gLCuwF9oICe4G9oMBeYC/Qv9gLyTgvsBeIiIiIiIiISDdMpC6AiIiIiIiIDGvF+g0oVKEilq9bh8CgoJ++9vmrVxg9ZSqKVKqCy9e8DFThr128chWFK1bGmKnT8OL165++9mtgIP5csxaFKlTE6k2bDFShfrzz9cWOvXsxdNx4VKrfAI4eOVG6Ri30Gz4CG7bvgPeDB4iPj/91IgM5fuYf7D10SOoyfioxMRGT58xFiarVsXnXLoSFh//09d4PHqDvsOEoU7MWHj55YqAqdW/qvPmo27IVps2bj1PnzsHvwweVx375Goj127ajQt16aNK+I977+emxUtVFR0ej37ARqFSvAfYfOSralPO/kpKScPXGDbTr2QvVGzdV6/c3dmlhfnzv54fqTZqifa/euHrjBpKSkn742ujoaOw7cgQV69XHHyNHCTa5Tm1CQkNx+MQJTJw1G/Vbt0GmPPmQr0w5dOzTF0tXr4GnlxfCIyKkLlMtaaEftZVW5qa08PyojacvXqByg4Zo3K49Tp07h6ioqJ++/p2vL2YsWIgC5Spgx969Bqry137X557v3X/0CKWq10S/4SNw7+HPN38PCw/Hpp07UaJqdUydO++n9yRDCg4JQcsuXdGgdVucPnf+p/8OEB8fj1PnzqF+qzZo3a07QkJDDVeoHm3cvgO5S5bGyEmTcf/RY8jl8p++Xi6X48HjJxg1eQpylyyNjdt3GKjSn/tdn3vUkZSUhD5DhxvVv+sqkxbmFiIiIiIiIiIiIiIiIiIi+r1ZWVqiVtkyoviO46fUzqVsTKOqlTWqi1K36/cfitZG2FhZIWN6R2kKksi1ew9EMbesWSSohKR2zee+KJZaekHZPL7r5Olfrt/73v6z5xETGyeIFc+XFy6Z1dtANTXbc+offA0JFcTa16+D9OnSSVOQFgJDQ9Fo4DC88vUXxM1MTbFjznTUq1RBospShw9fvuL2I/E67colihu+GJIcn5uIiIiIiIiIiIiIiIiIiIjIGDVo0kgUO3rwMMJ/sZfh9zwvXoafr3APY+eMGVGmfFmt6iPDYS8AVlZWqFG7pii+e5v6exvu3r5TFGuo5BobI/YCe0GBvUAKJUqVhIuriyAWEhyMh/fFn6X4leCgIDxVsr62Yir4XJKy98TubeL3+K8oG2Ps80Kbju3gGxyg1f8Wr/xTlLdC5YpKX+vg4GD4X5LUUr5SBWRwchLEfN/74solT7XyhIeH49ihI6K4svebMVI6Lyi59/+KsmeMmnVrw9LSUqO6iIiIiIiIiIiIiIiIiIiISDeqNiwpil04ehuR4dFq5bnt+QSf/IIEsfTO6VCkbG6t6jMESysLlKtRWBQ/tuuK2rmO7RKvLVF2jY0Re4G9oMBeYC8osBfYCwrsBfYC/Yu9kIzzAnuBiIiIiIiIiHTDROoCiIiIiIiIyDDkcjn6Dx+J4RMmIjIySq2x7/38UK9Va+z6e5+eqlPd9r/+QoM2beHr7//rF/9HZGQUhowdj0Gjx+ipMv2bsWAhegwcjFUbN+HmnbuIiYmRuqQfCg+PMPprHRsbixadu2LukqWIj49Xa+zDJ09RuUFDnPdUb1PAtObUuXMoWrkKzl66JGkdod++oUaTZti0cyfkcrlaY6/euIGyterg4RPxBq6pTVqYH30ePkS52nVx7cZNtcbJ5XKs37YdNZu1QJiaGzobi6OnTqN1tx6Y/+cynLt0GcEhIVKXpJW00I/aSgtzU1p5ftTGiX/OolK9Brhx+47aY4NDQtBj4GCMnjJVD5Wph889yf65eBFVGjbG42fP1BoXHx+P2YuXoFXX7mpfP13z9fdH+Tp1cfTUabXHHj5xEhXq1IP/x496qMwwEhMT0blvf/QfMVLje35YeDj6jxiJLv36IykpSccVqu53fu5Rx/J163Hb21vqMn4qLcwtREREREREREREREREREREANChYT1RbNvRE4hT4//XfvL6Da7duy+ImZmaonWdWlrXR6nPtmMnRLFa5cvA1NRUgmqkEfwtDMcui9ff1atUQYJqSEpx8fHYc+ofUbxexfISVKO+BpUrIH06e0Hs/ccAnPG6oVaejQePiGLtG9TVqrbU5FtEBCatXCOImZmaYmTXzhJVpLlvERFoMmgEnrx5K4ibmJhg04zJaFq9qkSVpR5zNmxGQmKiIGZnY42KxYtKVBFJic9NREREREREREREREREREREZIyKlyyB/AULCGKRkZH4a+dutfJsXrdRFGvVrjXMzMy0qo8Mh72QrF3njqLYzi3bERcXp3KOp4+fwOvKNUHMzMwMLdu20ro+Q2AvJGMvsBfoXzKZDO27iN8TW9ZvUjvX9s3bkJCQIIi5urkiV+5cGtdnKO06dxDFDu8/iOCgIJVzBAcF4ciBQ6J4207ttaqNyNDMzc2V3s82rd2gVp6/du5GZGSkIFaoSGEULlpEq/oMpXX7NqL14Nc8r+LZk6cq54iLi8OurTtE8XacF4iIiIiIiIiIiIiIiIiIiCRXoHgO5MyfXRCLjozFib+uqpXnwKbzoljd1uVhZpY69qFr2KGyKHZ0x2XExyUoebVyr5/6457Xc0HM1MwUdVuljj1b2QvJ2AvsBQX2AntBgb3AXlBgL5ACe4HzggJ7gYiIiIiIiIi0ZSJ1AURERERERGQY42fMxMYd4o24ZDIZalWriqH9+2HWpIno170biny3QSYAJCQkoOfgIThz4YIhylXq+Jl/0HvIMNFGiwBQrHAh9O/RHbMmTcSQfv1Qs2oVyGQy0evWbtmKyXPmGqLc39r4GTPg//Gj1GX8VI+Bg3Hy7FlR3NzcHI3r1cPIQQMxY8J49OzUCblyeIheFxkZhZZduuL+o0cGqFb/bGxsULJoUXRo1RKjhwzGzIkTMG/qFIwfMRwdWrVEnpw5lY6LjIxC805dcMHzioErTpaQkICmHTvhjo+P6JiNjQ1aN2uKccOHYerYMejWoT2yZMoket3XwEDUb90GHwICDFCxfqSF+dHX3x8N2rRDoJLNZ7NlyYLuHTtg2rixGDtsKFo1bQJra2vR627dvYvmnbogMTHRECXTD6SFftRWWpmb0sLzozYuXrmKll26Iiw8XHQsvaMj2jZvjgkjR2DulMkYMfAPVKlQQbR5LgAsXb0G0+bNN0TJP8TnHsD7/gO06todUVFRomO5c+RAr86dMXPiBIwY+Aca1a2rdGP/Y6dPo/eQoYYoV6mw8HDUa9kab969Fx1L7+iITm1aY/LoUZg4cgQ6tm4FRwcH0etevX2LBq3bIjw8whAl69yAEaPw18GDSo9lzpQRbZs3x8SRIzB/2lRMGjUSndq0hku2bEpfv+fAQQwcNVqf5f4Qn3tU8/b9e0ydN0/qMn4qLcwtRERERERERERERERERERECs2qV4VLZuF6tg9fvmD+5u0qjZfL5Ri2YIko3rZebWR2yqCTGin1OH/zNnafPCOKN69RTYJqpDNq8TKEfrdey9baGrXLlZWoIpLKnI1b8NrPXxCTyWRoUr2qRBWpx9LCAr1aNBPFxyxZjpjYWJVybDt6HHcePxXE7G1t0K1pI53UaOzi4uPRY/IMfAkOEcT7tWmJvB5uElWlmYioKDQbMgo+z18I4jKZDGsnjUPburUlqiz12H/2PLYcOS6Kt6tXBxbm5hJURFLicxMREREREREREREREREREREZs36DBohic6fNRuDXryqNv3T+Ig7vF+4fZ2JiojQvGTf2AtCkRVO4uLoIYh/8P2DRHNX2HJXL5Rg1eLgo3rp9W2TKnFknNRoCe4G9oMBeIIU+f/SDpaWlILZj8zY8evBQ5RwBHz9i6fzFoniXnt20rs8QSpUpjTLlhZ8ViY6OxoSR41TOMX7EWERHRwtiFatUQvGSJXRSI5Eh9Rs0QPT9A4f3H8TlC5dUGv/1yxfMmTpLFB8wZKAuyjOILFmzonnrlqL4yEHDIJfLVcqxcPY8fPD/IIi55/BAo2ZNdFIjERERERERERERERERERERaaf9gLqi2LrZBxHyNUyl8bcuPcK5Q7cEMRMTGdr3E+c1VjWalEZmFydB7POHYGxaeESl8XK5HPNHbBXF67epAKdM4u9nN1bsBfaCAnuBvaDAXmAvKLAX2Av0L/ZCMs4L7AUiIiIiIiIi0p6Z1AUQERERERGR/p25cAGLV64SxSuWK4v1fy5F/jx5RMf+uXgRvQYNQcDnzymxxMREdBswEA+ueiJTxox6rfl7AZ8+o+egwUhKShLEs2bOjE0rl6NujRqiMU9fvEC/4SPgdVO4OGDe0j9RrVJF1K6Wtr7w2tHBAbY2NvgQECBpHVeu38C6rdtSfs6QPj2CQ0IkrEhs/dZt+PvwYVG8WcMG+HPuHLhmzy6IJyUlYd/hI+g/YiTCIyJS4pGRUejQqw+8L1+ElZWVvsvWKRMTE5QvUxqN69VF1YoVUbp4cZiZ/fw/Fd32voeJs2bhgucVQTw2Nha9Bg/Bw2tXYGdnp8+yRabMnSd6jwNA325dMXPiBDhlyCCIx8XFYcP2HRg1eQri4+NT4p+/fEXnvv1x4ehh0eaPxi4tzI9yuRyd+vbD18BAQdzc3ByLZ81A7y5dYGFhITgWGBSEybPnYMP2HYK4p5cXZixYiOnjVd/ENjWwtLSES7aseP32ndSl/FRa6EddSAtzU1p4ftSG34cP6NinLxITEwVxa2trTBk9CkP79xPNSwDg6++PkZMm49DxE4L47MVLUKFsGdSrWVOvdSvD5x4gKioKHXr3Fm1Ybm9nh7VLFqNN82YwMTERHPP78AHDxk/AkZOnBPFd+/ajeuXK6NGpo97r/t6AEaPw8s0bQUwmk2HiyBEYNWig6DksIiICC1esxOzFSwTxpy9eYPDYsdi6WvweN2b/XLyIzbt2ieIO6dJh8ayZ6NSmNczNzUXHk5KScPDYcQwdPx6fvwi/9GHD9h1o3bwZalWtqre6v8fnHtUNGDkKkZFRKT8b279bppW5hYiIiIiIiIiIiIiIiIiIjIfnXW/U6z9EFH92ZB/cs2XV+/nNzMwwvld3DJyzQBBfuHUHKhYvilrlyvx0/OwNm3HF20cQMzczw9ge3dSqo26/QaI8nRs1wIZpE9XKk5pJ2QtLduyGpbk5ejZvCmsrS41yHL98Fd0mTRN98XyBHB5oW7e2ynn6TJuNnSeE6yyqlCyOf9at1KgudbQfMxED27VGlVIlNBofExuLEQv/xJ5TZ0THxvToota1tS5TWRRbP2UCujRpqFFtqdGs9Zswe8MWQcwtaxY8P7pf7+ceMGseGlaphMZVK2u0njcxMRFzN23F/M3bRcd6NGsM96xZVM6Vr2lr+AZ8EsQm9umBSX17qV2XJoZ0aocNBw7j23/Wl7709cOwBUuweuJY0Xqp/7r//CXG/Sl+7w7u0A6O9vYq17Dj2En0nTFHFI++fVXlHNp69Oo1CufOpdaY0PBw9J46C6euegniedxcMf2PvmrXIOW9MiY2Fq1HjsPNh49Ex5aPG2mwuUnKe+WibTthZmqKPq2aw9baWu3xO46dxJD5i0T3SRsrK0zs21OtXHxu4nOTgpTPTURERERERERERERERERERJS2dereBX8uXIL3/9kPNSgwEP269caug3t/ujeh73tfDO4zQBRv16kDcuXJrXINVy55onGt+qL4g9dP4e7hrnKe1K5RzXq4elm4L3THrp2xZst6g5yfvZC85n70xHEY2n+QIL5k3iKUr1QRNevU+un4eTNmi/6G5ubmGDVhjFp1sBfYCwrsBel7wVhI3QtZsmZF30EDsGLxnymxuLg4dGvXGcfOnUS27/Y//t63b9/QtW0nhH6356iDoyP6DxmoUg3v371H0VwFRPHj50+jSnXD7Ds7YdpktKjfRBDbs2MXqlSvik7du/x07K6tO/DXzt2i+Pipk9SqYUCPvti9facgVrlaFZy4IP58S1rmYGojiq3etO6Xf4e0ZO70WZj33ecv3Nzd8PDNM4OcP2/+fGjdvi327dkriA/q3R8nLv4DN3e3H46NiYlB/+59EBwUJIjnzJ0L7Tp3UKsOqXthzKRxOHLgEBISElJiVy9fwfyZczBuys/X/V84ex5L5y8W55w4DqampjqvlYiIiIiIiIiIiIiIiIiIiNTXpFNVbFt6HB/e/fud2aFB4ZjSby0W7R4GSyuLH44N8A3EjIEbRfEG7SrBLbfqe5XeufIE/RqK9+k89mgpsrlnVDmPpszMTNF7THPMHrJJEN+y+CiKV8iL8jWL/HT8+rkHcfeqcE2Lmbkpeo5qqlYdfRvMEuVp3LEKpq/rp1YeTbEX2AsK7AX2ggJ7gb2gwF5gLxgT9kIyqXuB84Lx9AIRERERERERpV4//sZEIiIiIiIiShPi4uIwZOw40Rc+16tVE/8c2I/8efIoHVe3Rg1cOXUC7q6ugnhgUBAmzJylt3p/ZNz06Qj+bpNFd1dXXDl1AnVr1FA6pkDevDizfx/q1hQel8vlGDp2POLj4/VWr77Z29mhSoUKGDagP3auW4unN2/g66sX6Nm5k6R1xcbGov/wEYJ+WzB9mnQFKREYFISJs2aL4t07dsC+rVvgqmTTTxMTE7Rr2QIXjh6Bo4OD4NiL16+xcEXq+uLzLu3awu/RA3ieOI4xQ4agfOnSMDMz++W4MiVL4J+DBzBq8CDRMb8PH7B8/QZ9lPtDz16+xNLVa0TxyaNHYfXiRXDKkEF0zMLCAgN798KR3Tthbm4uOHbl+nXs/PtvvdWrL2lhftyyazeu37otiJmbm+PI7p34o1cvWFiIF4I5OzlhzZLFmDRqpOjYwhUr8fL1G73Vq2/m5uYoUaQIenfpgjWLF+HW+XMIffcG65Yulbq0X0oL/aittDA3pZXnR21MmjUbXwMDBTE7W1uc2PsXRg8ZrHReAgA3Fxfs27oFIwcJNwKXy+UYNHoMYmJi9FazMnzuSTZv2XK8/s/m/wDg6OCAC0ePoF3LFjAxEf/fZa7Zs2Pf1i3o3lG8gfO46TNEc52+nff0xN5Dh0TxDcv+xLRxY2FnZyc6Zmdnh+njx2Hj8mWiYzv/3ofL17z0Uqu+TJu3QBRzdHDAlVMn0L1jB9H8qWBiYoLWzZri5rmzcMmWTXR8ypy5Oq/1Z/jco5pte/7CuUuXU37OmysXenc1rk3x08LcQkRERERERERERERERERE9L3uzRqjbJFCglh8QgJaDBuNtX8fQJySNX1Bod8weO5CzN6wRXRseJcOyOvx4y9fJ+Pz8ctXjFq8DPmatsKQeYtw4eZtxP/nC+V/JCkpCZ53vdFu9AS0GTUOUd+tlzMxMcGysSNVWrduDC7dvou6/QejYpeeWLh1B16+91Vp3LeICGw9chwl2nbGliPHRMfz5/DAsM7itSNkvLyfPEPbUeNRvE0nzFi7EQ9evBStsVUmOiYW+/45j4pdeimdHzOmd8SMgf31UbLeZEyfHjMGijeb3Xb0BNqPnQj/z19Ex5KSkrDvn/Oo028gQsMjBMdyubpgVLfOeqtXX2r06o+avQdg08Ej+BwU/NPXhkVEYvOhoyjWuiNOXLkmOJbO1ha75s2ErbW1PsvVqYSEBHQaNxmX73iLji0cMQS9WzY3fFES+BQYhPHLViFvk1YYPHchLt66gwQV7pU3Hz5Cm5Hj0HfGHMTExomOzxjYD1mdnfVRMukJn5uIiIiIiIiIiIiIiIiIiIjod2BpaYlFy5eI4ufOnEXzeo3x8vkLpePO/3MOdSpVh+93azDTZ8iA6fNm6qVW0i/2QrKuvbqjTPmyglh8fDzaNmmJDavXIi5OvD4sOCgIwwYMxrwZc0THhowahjz58uqtXn1gLyRjL7AXSGjclAnwyJlDEHv14iXqVKqBY4eO/HDcNc+rqFelFm5dvyk6NmvBHDh8tz+yMatZpxZatGklig/s3R9zp89CZGSk6FhERATmTJuJgb3Fny9o06EdqtaoppdaiQxh5oLZcEyfXhDzfe+LupVr4MLZ80rHvHj2HM3qNsK5M2cFcZlMhkUrlv5wb3hjlb9gAQwcPkQUnzt9NoYNGIzgoCDRsbi4OGxYvRZtm7QUfUdDhcoV0am7ce3RTERERERERERERERERERE9DuzsDTHmEXdRHGvsw/wR9N5ePfio9Jx188/RPda0xDgGyiIO6S3w5CZ7fVSqz4171YNRcrkFsQS4hMxtPUi/L3+LOLjxHv0hQaFY87QzVg/V/yd7V2HNoJHXvH3kBsz9kIy9gJ7QYG9wF5QYC+wFxTYC6TAXuC8oMBeICIiIiIiIiJt8Ju9iIiIiIiI0rjtf+3F67fvBDFnJydsXbUSVlZWPx3r4eaG9cuWol7L1oL4jr1/Y/zwYciVI8cPRurW85evsOfAQVF8w7I/4eHm9tOx1tbW2LpqJYpUqoKg4OB/c756hd37D6Bbh9SzUKBhnTqoUaUySpcogXy5c8PExETqkkRmLlqM569epfxcrVIldO/YAb2HDJWwKqE/165DSGioIJY3Vy6sXDD/l9e0RNEiWDhjOvoMHSaIL129BkP69YVDunQ6rlY/ihYqpNX4eVOn4Lb3PVy+dk0Q//vQYUwYMVyr3OqYvWixaJPBqhUrYsqY0b8cW7dGDYwZMhizFws3A565cBE6tm4NU1NTndaqL2lhfkxISBD9HQBg7NAhqFujxi/HTx07BpeveeHK9espsbi4OMxduhSbV67Qaa36VDBfPiyfPxelS5RAsUKFYGlpKXVJaksL/agLaWFuSgvPj9p49eYN/jooXly5aOYMVK1YQaUc86ZOwb0HD3DB80pK7O17X2zcsROD+vTWWa2/wuceICQ0FMvXrhPFF82cgRJFi/x0rImJCVYumA+vm7fw4vXrlHhQcDBWrN+AqWPH6LzeH5k2b74o1qVdW3Tv2OGXY7t37IBLV69i59/7BPHp8xfgwtHDuipRr/w/fsRtb29RfMH0aSiYL59KOVyyZcO6P5egUVvhPeXWXW98DPiEbFmz6KTWn+Fzj2o+f/mC0VOmCmKrFi2Ep5eXRBWJpZW5hYiIiIiIiIiIiIiIiIiIhIbOW4S9Z8798HhCYqIo5nX/IbLUqP/TvJ8unta6NkMxMTHB9lnTUKlrbwR9+5YSj09IwPCFS7Fw207UKV8WHtmyIjo2Fq/8/HH66nVExcSIclUqUQyT+/YyZPk6w14AvoaEYsOBw9hw4DAszM1RIIcHCufJhYzp08PBzhZWlpaIjI5GaHgEnr99B5/nL/A1JFRpLhMTE6yfMh5VSpUw7C+hA/eevcC9Zy8wZdU6ZHBIh6J58iCvuysc09kjnZ0dACA8MhKfg4Lx8OVrPHz5CnHfrSNVyJE9G44sXwQLc3ND/go6UaZDN/h9+vzD4zFxcaLYom27sHLPPiWvTlaxeFEcXLpAJ/UZwov3vpi7aSvmbtqKdLa2KJwnFwrk8ED6dOmQzs4WpqamiIiMQmBoKB69eo0HL14hMjpaaS4nBwccX7kUTo4OBv4ttNe3dQtcunMXh85fEsSPXbqC01evo16lCsjn7oZ0drZ4/zEAl+/ew2s/f1EeGysr7Jw7A9ZWqW/dvFwOXL//ENfvP8SQ+YuR190NxfLmgVvWLHCwt0NcXDw+Bwfjla8frnj7KJ0TbK2t8feiuSiSJ7eSMxiv6/cf4uRV8Vo+mUyGWes3Y9b6zVrlb1evNpaNG6VVDkMK/haGjQePYOPBI7C0sEChXDlQOHcuOKd3hIOdHczMzBDyLQx+nz7jms99+H/+8sNcQzq2w8D2bQxYve7wuYnPTQoLt+7A4m27fng8SZ4kivl9+vzLXri1Zyvcsuh/rTcRERERERERERERERERERH9WN2G9TFoxFCsXLJMEL9+1QtlCpVAjdq1ULBIITg5O+GDnz9uXLuORw8eivKYmppi/baNyJwK1wL4+fqhUvGyP31NRESEKNauaSuYmf3468GGjR2JEWNTz7op9kLyGp9Nu7ahetnKCA4KSonHx8dj1OARWDJvEWrWrQ2PHB6Ijo7G65ev8c/J04iKihLlqlilEiZMm2zI8nWGvcBeUGAv8B6hYGdnh+1/70KDanUQGRmZEvf380fn1h3g5uGOmnVqwcXVBSampvj0MQCeFy/j2ZOnSvP16NsLXXt1N1D1uvPn2hXw8b6Ht6/fpMTkcjnmzZiDtSvWoH6jBvDI6QG5XI53b97h9IlT+Pbd/tEAkDtvHixZvUwUp9SjYvGy8Pf1++HxGCWfx1s6fzHWLFv1wzHlK1XA38fE3wNgrLJmy4Y1m9ehU6v2SEr6dy1xwMcAtKjfBEWKF0W5CuWR3dUFQV8D8ejBI1y+cBFyuVyUa9iYkahVt7Yhy9eZyTOn4vrVa7h1/aYgvmX9JuzduQf1GjVArjy5YGlpifdv3+HcmbP4FPBJlMc5Y0Zs3LkVMpnMUKUTERERERERERERERERERGRCirXK47Ogxti54qTgrjP9RdoXXosytUsjNwFXeHoZIfPH4Lhc/0FXj7yFeUxNTXBjA394ZzZ0UCV646JiQnmbBmIzlUn41vwv+vlEuITMX/kNmxZfBQVahVFNo+MiI2Og+/rT7h65j5iomJFuUpUzId+E1sZsnydYS+wFxTYC+wFBfYCe0GBvcBeUJg7fAtO77v+w+OJCeK9nH2uv0A1l74/zXvZf73WtRkKeyEZ5wX2AhERERERERFp58e7dRAREREREVGasGL9BlFs6tjRyOjsrNL4WlWronWzpth/5GhKLDExESs3bMTSObN1VufPrNq4UbABGwC0btYUNatWUWl8powZMW3cGAweM04QX7Z2Lbp1aK+zOvWtdbOmUpfwU/cfPcKiFStTfra0tMTqRQslrEgsLi4O67duE8UXzZoJKysrlXL06NQR67dtx21v75RYWHg4tuzajWED+uusVmM3dtgQXL52TRB79PQpQkJDkd7RUe/n//T5M/b9Z15SWLlwvsqbDE4cOQLb9vwF/48fU2Jv3r3HsdOn0bxRI53Vqk9pYX48cvIU3vsJNxx1yZYNE0YMV2m8TCbDyoXzUaxyVUF8z4GDmDd1CjJlzKizWvWpTMkSKFOyhNRlaCUt9KO20srclBaeH7Wxfe/fSEwULkQuXKAAenftonIOmUyGpXNmi+amP9esxcDevQyyIS6fe5Jt3rkLEf/Z5B0AypQsie4dO6g03srKCotmzUTTDh0F8TWbt2DCiOEwNzfXWa0/cueeD67fui2IWVtbY9HMGSrnWDxrJg4cO47o6OiUmKeXF+49eIgSRYvorFZ9uX7rtmijbXs7O3Rp11atPPVq1kTeXLnw4vXrlJhcLsf127fRqmkTndT6M3zuUc3Q8RMQHBKS8nPX9u1Qo0pleHp5SViVUFqYW4iIiIiIiIiIiIiIiIiISCwqJhbfIiJ+/cL/SExMVHuMsXPPlhXHVi5Bk0EjEPTtm+DYxy9fse3oiV/mKFkgP/Yvngczs9T5UXb2glBcfDzuv3iJ+y9eqj02fTp7LB83Cq3r1NJDZYYV/C0Ml+7cxaU7d9UeW7ZIIeyYMx1uWbLooTL9C4uMVLu/Y+PiEBsX98PjEVFR2pYlmbDISHj5PICXzwO1x+bzcMeOOdNRJE9uPVRmGFtmTEFkVDT+uX5TEI9PSMDxy1dw/Bfjbays8PeiuSieL6/+ijSQpKQkPHv7Ds/evlN5jGuWzNgzfzZKFcyvv8L0RA658rhcrpN7YFSMeJPc1CI2Lg7eT5/D++lztcaZmZpiYp8eGNuzm54q0z8+Nwn9zs9NsXFxav9dVZk/5EnK5x4iIiIiIiIiIiIiIiIiIiIyrFkL5iA0JAQ7t2wXxOVyOS6cPYcLZ8/9dLypqSlWbliDug3r67NMvUlKSsK379ZWqyLyu/3KvhcbE6NpSZL53XsBANw93HHo9FG0qN8UwUFBgmMfP3wUXRtlSpQuiT2H96XaNfcAewFgLyj87r3Ae8S/ipUojr+PHUSH5m0QFhYmOOb77j22btisUp7eA/pi/p+L9FGi3jk6OuLIPyfQuFZ9+L57LzgWGhKCv3bu/mUOj5w5cPjMcaRLl05fZZIBhIeFqT03xMbGIjb2x+vqfzVvGKOGTRtj+bpVGNp/kGjf94c+D/BQhc/mdOvdA1NnT9dXiXpnbm6Ov48dRLO6jXDf20dwLCoqCof2HfhlDidnZxw6fRQuri56qpKIiIiIiIiIiIiIiIiIiIi0MWx2B4SHRuLIjsuCuFwux43zD3Hj/MOfjjc1NcHkVb1RuV5xPVapX9ncM2LVkbEY2Gw+vgUL95f78jFEdG2UKVgyB5buHQEzM1N9lal37AX2ggJ7gb2gwF5gLyiwF9gLABATFYeIb+rtz5+YmKT2GGPHXkjGeYG9QERERERERESaM5G6ACIiIiIiItKfew8e4vGzZ4KYra0NOrdpq1aePt26imJ7Dx1CQkKCVvWpIj4+HnsPHRbF+3XvrlaeTm3awNbWRhB78PgJHj55okV1pJCYmIh+w0YIemLs0CHIlye3hFWJnTx7FsEhIYKYh5sbGtRW70vQ+3TtIort3rdfq9pSm+qVKsHUVLzI5ENAgEHO/9dB8RxUpUIFFMyXT+UcFhYW6NqhvSi+K5X8LdPK/Ljz732iWPeOHWBhYaFyjkL586NS+XKCWHx8PP4+fETr+kg1aaUftZUW5qa08PyorfOXxQsueyu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vlvnz52bWrEn56KMX8smnoxdb/+nU1/LAv36Wgw+8P02btvxGfwsAAAAAwHfxycQPc9mhlZkxZfE561XXaZtN99ombTdYJ3Wz5+ajce/l1YeGpm72ovPJbw97PVf+6r9y1t0XpLzAs6DfeHpkrvjlf2XujNmL3Wta0Swb77RF1txo3ay61upp2rwis6ZOzycTP8zEl8flozcnLpXzQZKkvEl5mq/87fd6y8rKvvEzQ299OH8548IvvNd6rdWz6V7bZPX110qz5hWZ/vGnGfvsq5k4ctEzUUoLFuS2ygFpsXLL7Hj0Ad+6HwAAAADg25owYUL2O/CgTJ68+Nka6667bvbdZ+/8cMMNM3v27IwdOy73PfDAYr/BOPT55/PTww/PIw8+uOzPBpk0KXvut2/ee++9L7y/1ZZbZvuuXbPOOmunollFpnzySV566aU8/cwzi/0dtbW1+cWvf50H770nu++221JvvfDiS/LiiBFL/XOT5PEnnsghP/tZ5s+fv9i9Nm3aZN+9987GG7fLKiuvko8nT84Lw17IM0OeXWz9RZdckpVWapU//Pd/10snAAAAAMBXeXfC+/nFgSdkyuRPF7u39rrfyx777JINNvxBZs+ek/Fj38kjDzyR2bPnLLJu+PMv5ajDTskd/7phme5Zt151laXyOdOnzVhsxnrfA/fM6m3bLNHzY0aPzWH7HZeZM2Yudq/VSq2y+147pn3Hdll1tdb5dMrUjHr19TzzxP/P3n1HN1m+fQD/pk2adO9SaIGyoWXK3nsjsvcQERSQ4QDceyAgCuJCUZCNiiB77733aIFC995Nk7TN+4ev6OOdtsmTpC3+vp9zOOeXb3Jfz5U0vMf37s31nIZOp5e8dvMvO+CkdsJXP86X/2b+n0qlgrOLRtZaVzfLZmkTERERERERERER/Zekxujw9agbyEnNF57zDFShbkcv+FbWwJBXiKT7Wlzfnw5DXqHkdQ8uZuP7CbfxwoZQODhaPlvDWgX5RiwbfwsPL4v71k7ODgjt6o2Aaho4qhVIfajDzUPpyEw0SF6XnZKPr0bexOydDeBVkfc+JCIiIipPlGXdABERERERWc5oNGL05OeRlCy9oaNKpcJnH76PZ8eOgZOT9AaHySkpeOujT/D9z6sk+ZETJ/D+/IV477W5du/7L/n5+Rj2zLOIjY8Xnntm9Ch8+ObrCPD3F57LycnBvMVLMH/xl5JhGwePHsPbn8zDR2++YdM+A/z9YDQahc+5NFUPqYrY+ATk5eWV/GIiIiIiIiIiIiKiUmY0GvHq0glIy5QOxlY6qvDKmHkY3OVpqJTS/eq0rGQs3fg+fjvwkyQ/f/MYvtv0CaYOedPufZty5+E1vLhoBHLzsiW5j4c/pg19Cz1bDYabi0eR65PTE3Downb8cXg1ohLuyerh1LWDePObycgvkB4+D/IPwYwR76HTE32gdip6+EdMYiQOnN+GzYd+lnX9uiGN0PGJPmhWrz0a1mxe7LUA4F7MLXy3aR52n/pNkhcaC/HxTy+hWb32qOAbJKsXIiIiIiIiIiIiIjmMRiPGv/UBktLSJblKqcT8WdPwzFP94KRSSZ5LTk/Hu98ux/LNWyX50YuX8dHylXh78jP2blti7uKvEZOYJOQtG4Rh8exZaFS7lsl1KRkZ+PSn1Vi64VfJcGy9wYCpnyzE+bU/Qf2vM+bFeWHeZ4iIipZkCoUCrz0zDi+OHg43F+nQ6ezcXCxavR6f/Cjdo74V+QCzFn6B5e+8bva1E1PT8PKiJcKQbwcHB7w4ejheHjsK3h6mh4mfu3ELMxd8jgs3b0vyK+F3MX/larzz3ESz+yAiIiIiIiIiIiKyhtFoxMHDzyEvT3rW2sFBhZYt3ked2mPh6Cjdt83LS8G58x/j9h3pbJD4+BO4eGkBmj7xqt37NsXBwQlVq/RCzZrDEBjYBk4qN5OvKywswP37m3H67DvQahMlz0XH7MeFi5+iebO3zLpmYIVWGDs6wureI+7+isNHpkoyR0c1atQYbNZ6rTYJp06/AUC6Z61QOKBB/Wlo2GA61Govk2uTki7ixKm5SE6+JMlTU6/j8pXFZfbzJCIiIiIiIiIiov89RqMRP078GNnJ6ZLcUaXEkE+moO34PlA6Sc9ZZ6dk4I/3f8SxFdslefixK9g+bxWefONpO3dtWvS1e/h21NvQZWslubu/F558cwKaDuoEZw/XItdnJKTi6o4TOLlmN5LuxVrVS43W9fHi9kVW1bBE1OVwrJ31hZC7ertjwPuT0XpMTzg4OAjPx96MxIZXliD82BVJvv7lJajSpA6C61e3V8tEREREREREREREAqPRiFHjxiEpSTpbQ6VSYdGCBZg08RnxHozJyXjj7Xfw/fLlkvzwkaN478MP8f4779i97396ec4cREfHCHnrVq3w1ZLFaNyokcl1KSkp+Gjep1j85ZfS2SB6PSZPmYqrFy9ArVbbrM+IiLt478MPHz12cnKCk5MTsrOzi1llnqioKIwYM1ZyP0kAcHZ2xjtvvolZM6YLP0cAePjwIV6aPQebNm+W5B9+/AnatGqNnj26W90bERERERERERERkbmMRiMmj30JyUmpklylUuGDha9h7MRhwl5nSnIqPn77c/z8wwZJfuLIGSz4YClefXem3fv+y92k81bXiImKwxO1OguzoEc9bd5cjqzMbIwfOg052TmS3MHBAdNemoiXXpsCN3dxTklqSho+eecLrFi2TpJvXL0ZLds8gXHPjrDwnUgNGtEPS5d/alUNIiIiIiIiIiIiov81RqMRK6eGIzslX5I7qhQY+G4I2owKgNJJOtciO9WAbfMe4sQa6TzqiJOZ2LkoCn1nV7F73/+2fcFD3DubJeRtx1RAv7mV4eojnbGSry/EiTUJ+P29Bygw/L1fnpVkwMoXwjHj1zAoFAq7901ERERE5lGWdQNERERE9LdO7doiPzmhrNuQJaRKlce298fRT2vW4uSZs5JMpVJhy9rV6NG5k8k1fr6++GbRQlQICMCHCz+TPLfgy6UYM2woatUoncHKP6/fgOOnTgv5gvffw4tTny9ynaurKz54/TU0a9wIIyZOhsFgePTcZ0u/xqghgxFWt66snny8vdGkYQM0a9IYzRo3RtPGjVAlOBjPvDADP6/fUHIBG6gcFISmjRuhWZPGaNq4MZo1bgRvLy/UaNIMD6KiSqUHIiIiIiIiIiIiAGge2h6X1oiHRx8HQf5VH9veH0ebD/+My+HS/V6lowpLXvkFbRp2NbnG290Pb01cAl/PClj2+zzJcz9t/Rx9241A1cCaduvZFG1eDmYvGYtsbaYk7/REH7z//HfwcPUqsYafVwUM6fIMhnR5BuEPr1vcQ2JaHF5bOgH5BQZJPrjLBMwZOx9qJ02JNYICQjC29wsY2/sFi3po3aALtn9xDUH+VS3quXpQXXw6fQWa1GmDeStfljyXk5eFbzd9gncmLbWoJhERERERERERkSkdmjaB9tShsm5DlqqVKj62vT+OVm7dgVNXr0kylVKJTZ99gm4tm5tc4+flhaWvvowKvj74ePlKyXOfrVqHUb16oGaVYLv1/E+37j/Axj37hbxXm1b4Zf6HUCqL/iehvp6emD9rGurXrI7nPpQOkr4bHYNV23fh2YH9zerj4Nnz+GXvASH/9o05GNevt8k1bi4ueHvyMwipVFG4/tqde/D0k33Q/onGZl1/ybqNSM+S3hxSoVBg+TuvY0TPbsWubRZaFweXLcWgl1/D/jPnJM99vmY9Zo0eDk83ccA3ERERERERERGRuSpWbIuJExJLfmE55O5e5bHt/XF0J3wtEhOls0EcHFTo3m01goM6m1yj0fiiXdvP4OISgIuXpLNBrlxdipo1hsHTs3RmgwCAWu2NBvWnok7tMdBofEt8vYODI2rUGIxKlTpg1+6hSE27IXn+2vXvULvW6FJ9D+ER64WsSuVeUKu9zFp/7fq30Osz/pUq0LH9V6hRo/ibU/r7N0G/PtuwZ99oxMYeljx39dpXaFB/KpycPMzqg4iIiIiIiIiIyJTa7Rvj64x9Zd2GLL5VAx/b3h9HJ1btwr3T0jkUjiolpmz4EKFdm5lc4+briVGLX4RHBR/s+HSV5Lm9X2xAyxHdEFCjdM5Z/0WXo8UP499HXmauJG/YpzXGfTMXLl4lnxP2rOCDdhP6od2Efoi5fs9erdrFxrlfwaDVSTKPCj6Y+ccCVKxb9MyQSvVCMGPLAqx8bh7O/XrwUZ6vM2Ddi1/glT2LeWNJIiIiIiIiIiKyWqeOHVGoyyvrNmQJCQl5bHt/HP24YgVOnDwlyVQqFbb+vgk9unc3ucbPzw/fff0VAgMr4IOPPpY8N3/hZxg7ajRq1SqdmdY3b97Cug0bhbxPr17Y/Nuvxc8G8fXFogXz0aB+GCZOfk7yXMTdu1jx8894btIkm/RpNBoxeeoUaLXaR9nc2a/g59WrkZ2dXcxK87zx9ttISkqSZG5ubti2+Xd0aN++yHVVqlTBrxvWY85rr2PhokWSfqdOn47rly9Boyl5FjcREREREREREVFx2nZsiST9nbJuQ5YqIcGPbe+PozUrfsXZkxckmUqlwprN36Fz93Ym1/j6+eCzrz9AQAU/LPzoK8lzXy5chqGjn0KNWiH2atnmNqzejMLCQklWoWIAuvQoeq/3n5Z+9gPuht+XZI6Ojvj2588wYGifItf5+HpjwdL3UDesFl6d+b7kufdeW4BeT3ZDQAU/M98FERERERERERERFadWG08siWld1m3I4ltZ89j2/jg6tT4R989lSTJHlQKTV9ZFvY5eJte4+agwYn4NeAQ4Ydfn0ZLn9n0di+aD/RFQ3dleLQsSIrQ4+F2ckPd6KRh9Xq5sco3SyQEdJlSEf3VnLBt/CwUG46Pn7p7Kwtlfk9FiqL/deiYiIiIiyziUdQNERERERGSZ/Px8fPTZ50I+d+YM9OjcqcT178ydjfatpb8s0Ov1+OTzL2zTYAny8/Px6eIlQj5y8CC8OPV5s2o81acP3nj5JaHuu/PmW9TLmGFDsPb773D77Gkkht/C7t9+wUdvvoGB/fqiSnDpDAt/Z+4c/LFuDeJuXcf9yxfw68qf8OqsmejeqSO8vbxKpQciIiIiIiIiIiIiOfIL8rHsd3Ff9pn+L6NNw64lrp8y+HU0rdtWkhny9fhh8wKb9WiuJRvfw4O4CEnWvnFPLJi5Ch6uXhbXq1UlzOI1H/84C2lZKZJscJcJePOZxVA7WT5g2pIeqlashSD/om/cWJIRPSajf4fRQn7g3B8w5Btk1yUiIiIiIiIiIiKyRH5+Pj758Wchnz1+NLq1bF7i+jeffRrtmjSSZHqDAZ+uWGWzHkuy5dARIfNwdcUP77xW7A0d/2lcv94Y2r2LidpHze7j/WU/CdnoPj0xrl9vs64/qncPIf/ge7FmUTYfFD+HET27YUTPbmatd1Kp8NN7b8LdxUWS6/QG7Dpx2uw+iIiIiIiIiIiIiOQqLMzHpcuLhLxRwxkIDupc4vomjecgsIJ0NkhhoR6Xr4jzRuxBqXJFk8YvY9iQc2jUcCY0Gl+L1js7+6NH93VwcvKQ5IWFety6vcKGnRYvOzsacXHHhLx2rZFm14iM3CZkNWoMRo0ag81a7+johE4dv4FK5SbJCwp0iIreZ3YfRERERERERERERHIV5Bdg54LVQt7zpZEI7dqsxPV9XxuHmm0bSrJ8vQG7Fq61WY/m2vL+j0iMkN7csX7Plnh25dtw8XIrYlXRgsKq26o1u7t95BLunrwm5OO+mYOKdUueGeKodMTYr2YLr71/5gau7jplsz6JiIiIiIiIiIiIipOfn48PP/lEyF+dMxs9uncvcf27b72FDu3bSTK9Xo+PP51nsx5LsmnLZiHz8PDAyh+Xmz0bZML48RgxbKiQ/755i7XtPfLDjz/i0OG/53fUrlULr8+da5PaERF3sW7DRiH/bP6n6NC+vVk1Pv34I3TtLD1bfz8yEt8v/9EmPRIRERERERERERGVJD8/H4s+/lrIZ86ZjM7d25lYITXn7Rlo3V4691qvN+Dzed/YrMfSsH7VJiEbNvopODo6lrg2Iz0TP3wtzu+e/sokDBjax6zrT5wyBqOeHiLJMjOysPSz781aT0RERERERERERES2UZBvxO4vYoS8+wtBqNfRq8T1vV8ORo1W7tKaeiP2LBFr2tOuL6JRYDBKspqtPdD7peAS19br6IVu0yoJ+c7Po1BYYDSxgoiIiIjKgkNZN0BERERERJbZsmMnHkRFSbLgSpXw+kuzzFqvUCiwdIE4WGTdb5uQmJRkixaLdfjECdy9HynJVCoV5r/3rkV15s6cjkqBgZJs8/YdQu3iPDNmNIYNHIAa1UIsurYtvTX7ZfTp3g3+fn5l1gMRERERERERERGRHAfPbUNc8kNJVsEnCJMGzDZrvUKhwGsTPhfynSd+QWqG/fer/3I/9jZ+2ScdyuHrGYCPpy2HSulUKj2cunYQhy7skGS1KofhtacXQaFQlEoP1prY/2Uhy8hOw93oG2XQDREREREREREREf0v+uPIMTyMT5BkQQH+mPv0GLPWKxQKLJ49S8g37NmPxNQ0W7RYopNXrgnZ8B5d4evpaVGdqcMGm6h91ay152/ewqmr0j6c1Wp8OnOq2defP2sanNVqSXb04mVcuh1e4trE1DTcjRaHqzw/ZKDZ1wcAf28vDOvRVcjN/RyIiIiIiIiIiIiIrPHg4U5kZ0tng7i6VEKjhi+atV6hUKBN60+F/O69TdBq7X/W2t+vMZ5oMhdOTu4lv7gIrq4V0aD+NCF/8HCXNa1ZJDxiA4zGQknm4lIRQUGdzFqv1SYhM+u+kIfWm2hRH84aP1SvJu5zJyScsagOERERERERERERkRyXtx1H6kPpOWuvIH/0emWUWesVCgVGfDZDyM/+cgBZSaVzzhoA4u88xJEf/pBkHgHemPD9a1A6qUqtj7JycrW4v16/VyuEdm1mdg2VxgkDP5gs5Pu+/MWq3oiIiIiIiIiIiIjMtfmPP/DggXSmdXBwEN549VWz1isUCny1ZImQr12/AYmJiTbpsSQnTpwUspHDh8PX19eiOtOniWetj58Ua8sRGxuLOa+9Lsm+/Wop1P+aBSLXytWrUFBQIMnqh4Vh0kTzz1krFAp8segzIf988WIYjUareyQiIiIiIiIiIiIqyY4t+xD1QDoHuVJwIF58bYpZ6xUKBeYveVfIN63fhqTEFBt0aH8nj53F/YgHQj5qvDjf2pStv+9GZkaWJPP188bLb4h74MV555PZ0Gike9grv9+A7Kxsi+oQERERERERERERkXxXdqUiNVonybwqOqHHjCCz1isUCgz7uLqQn9+cjKxkg016LElmoh4Xt4p79EM/rgaFQmFWjZ4zg+FV0UmSpTzQ4eqeVJv0SERERETWcyjrBoiIiIiIyDKrN4rDj58eNRJOTk4mXm1aWN26aNuqpSQzGAzYuHmL1f2VZP/hI0LWr2cPVAysYFEdlUqFCaOlQ8GNRiNWbdhoVX9EREREREREREREZJ7tx9YJ2VMdx0KlNH+/umZwPTSp01qS5RcYsPvUb1b3Z64f/1iE/IJ8STZr5Adwd/EstR6+3zxfyF4dvxBKR2Wp9WCtqhVrIdA3WMgTU2PLoBsiIiIiIiIiIiL6X7Ru514hG/9kHzipVGbXCK1eDW0aNZBkhvx8/LrvoNX9mSM+RRzy0bphfYvrNA+tK7zvHG0esnJyS1y71sTnOKhrJ/h6mr9v7uvpiQGdOwj5ul1i7X8z9Rk4qVRoFlrX7Ov/5d8/SwCIT+bAEyIiIiIiIiIiIrK/iAhxNkjt2iPh6Gj+WWtv77qoUEE6G6Sw0IB79+0/G8RWqlcbIGRZWZHQ6dLsfm2j0YjwiA1CXqvmcCgU5o1gzNUmCJmDgxP8/ZpY3M+/f5YAoDVRn4iIiIiIiIiIiMjWzmwQz/C2GdMLSifzz1lXqheCGq2l55oLDPk4t+mQte2Zbc/n61GYXyDJBrw/Cc6ebqXWQ1m6ffiikLV7uq/FdUK7NYdPFeks8LsnriL5PueDEBERERERERERkf2tXrNWyCaMH2/ZPRhDQ9GubRtJZjAYsOGXX63uzxxx8fFC1rZNaxOvLF6L5s2F952Tk4OsrCzZvf3lhZmzkJGR8ejx0+PGolPHjlbX/cv+A+IclkkTJ1pcJyw0FO3btZVkkQ8e4NDhw7J7IyIiIiIiIiIiIjLXL2vE+R2jxg+2aM+6blgttGzbVJIZDAZs/mW71f2VhnUrNwlZ89ZPoGad6matP7L/hJANGzMAGo3aoj58fL3Rf3AvSZabk4s/Nu22qA4RERERERERERERyXf2tyQhazUiAEon82Y5A0DFOi6o3sJdkhUYjLjwR7LV/Znj/OZkFOYbJVmNVu6oWNvF7BpKJwe0HOYv5Oc2lc57ICIiIqKSKcu6ASIiIqLHQUxcHC5cuoy4hEQkp6bAxdkZVYKD0aRhA1SrWrWs27NIekYGTp+/gIh795CRmQlXFxf4+/oirF49NKofVtbtUQl0Oh32HT4i5ONHDre41vgRw3H81GlJtnXXbrww6VnZ/Znj2L+uCQCd/jUsw1wd27bBR58tkmRbduzAu6/OkVWPiIiIiIiIiIiovEtIjcXN+xeRnJ6AtKwUaNTOqOhbGfVCGiEoIKSs27NIZk46rt09h4fxd5GVmwlntQu8PfxQMzgUdao2KOv2qAR6gw6nrolDlZ/qMNriWv07jMbF2ycl2aELOzCy5/Oy+zNXRnYqdp2UDuL29QxAn7aW77vLFRF1A+dvHpNkodWfQNN67UqtB1vx9wpEfEq0JMvJyy6jboiIiIiIiIiIqDTEJCbh4q07iE9JQUp6Bpw1GlSuEIAmdWsjpFLFsm7PIulZWTh7/SYioqKRmZ0DF2cN/Ly8EFajGhrWqlnW7VEJdHo99p85J+Rj+/Yy8erije3bCycuX5Vk248ex9Rhg2T3Z64cbZ6Q+ft4W1zH0dERPp4eiE9OkeTZWi3cXYsfGrLjmDgkW+7nuG7XXkm2/ehxfDpzarHrTH0GPp4ecHAwf2DLXwJMfHY5Wq3FdYiIiIiIiIiI6PGQkxOH5JTL0OYmIE+XCqXSGa6uQfDzbQh398drNohOl4Gk5PPIzLgPvSETSqULNBpfeHvXha9P/bJuj0pQUKBDTOxhIa9Vc4TFtWrVHIGEBOmcjodRuxAWat/ZILbi4VENSqUL8vNzJXmuNhFqteX735aITziFrKxIIbfk55BvyBUyjdobCoXle9bOzuKQboMhx+I6RERERERERET0eEiPTcbDS3eQEZ+K7JQMOLmo4RMcgMqNasEv5PE6Z52bno3IczeReC8G2owcqF01cPPzQqV6IQhuUKOs26MSGHR63Dx4Qchbjephca1Wo3ri7slrkuzqjpPo/NxA2f2ZKyc1E+d+lc458QjwRothXe1+7fIg8W4MMuKlZ8MVDg6o1bahxbUcHBxQs00DnHmY8CgzGo24vP0Eur4wxOpeiYiIiIiIiIio/ImJicH5CxcRFx+H5JQUuDi7oEqVyniicWNUq1atrNuzSHp6Ok6fOYvwiAhkZGbA1cUV/v5+qB8WhkYNLd8vo9Kl0+mwd/9+IX967FiLa40fOxbHjkvnY2zdtg3TpxU/08IWcnLEM8AB/uJZ4ZI4OjrC19cXcXFxkjw7Oxvu7u6y+/t10yZs/uOPR4/9/PywYN482fX+LS8vD+fOnxfyzp06yqrXsUMHHD12XJL9vuUPdO7USVY9IiIiIiIiIiIq3+Ji4nH5wnUkxCchJTkNLi4aBFWuhIZNQlG1WuWybs8iGemZOH/mMu5FRCIzIxsurs7w8/NB3bBaqN+oXlm3RyXQ6fQ4vP+4kI8YZ/kM6hHjBuH0cem+6e5tBzBp2jjZ/ZWGnJxc/PHbLiEfOd78z+DUcXEmeLuOrWT106ZjS2xcs0WS7di8F6PGD5ZVj4iIiIiIiIiI6HGQHqdD1NUcZCYYkJ1qgJOzA7yD1KjcwBW+VTRl3Z5FcjPy8eBiNpLua6HNLICTiyPcfJWoVMcFQWGuZd0elcCgK8TtIxlC3nKY5eekWw7zx70zWZLs2p40dHzG/jN3ru5JM9FPgMV1WgwLwO7FMZLs5qF05OsLoXSyfDY1EREREdmWsqwbICIiIirPVm/8Bd/+tAKnz52H0Wg0+Zr69epi+uRJeHrUSDg6OgIA3vt0AT5YsFDyuogLZxFSpUqx1zt07Di6DZAePl3+5WKMH1nyjeKUfhUkj8eNGI4fly559Pjk2bP49Isl2H3gIAwGg8kaFStUwKTx4/DytClwdbVsMzry4UPUfKK5JHtr9it4Z+5si+pQ8U6cOQutVivJqgQHo1pVy28u2qldWyE7fvoMdDod1Gq17B5LEhcfL2QNQkNl1WpUP0zIrt64ibj4BFQMrGBiBRERERERERER0eNp29F12Lj/B1yNOFvkfnXN4FCM6jUFT3UcC0eHP/erv/ntY3y36RPJ67Z/cQ1B/sXvKZ69cRSTPuojyd6b/A2e6jimxF4bj5YOAn6y/Sh88Px3jx5fDj+NH//4DMcv70N+gen9an+vQAzu8gzG950BZ41l+9UxSQ/Qd1Z9SfbcoNcwZfDrFtWh4l2+cxp5eul+dUXfyggKCLG4VvPQDkJ26fZJ6A06OKnst18NAPvObIEhXy/JerQc9OjvUGnYefIXIevd+vG8AaL+X58lAHi6+ZRBJ0REREREREREZG9rd+7Bsk1bcObajSL3rcNqVMO0YYMxrl/vR+esP/z+J3y0fKXkdbc2rUPVSsUPUDhy/iJ6TntRki17cy7G9utdYq/OrTpJHo/p0xPfv/3ao8enrl7HwpVrsOfUGRjy803WCPTzxbMDnsSs0cPh6uxc4jX/6UFsHOoOGinJ3pg4Hm9OmmBRHSreqavXodXpJFnlwAoIKeG7ZUrHpk2E7MSVq9Dp9VA7Ocnu0Rw+nh5AlDT79/syV642T8i83d2KXRMZG4fIWOmNIJ1UKrRqIJ7bLknrhvXhpFJB/49/v3A3OgYP4uJRtWJgket8PT2ELE/mZ5Bj4jPwKuEzICIiIiIiIiKix094xEbcurUCiUnnAZjes/b2qoewsEmoVXMkHP7/nOiFi/Nx8ZJ0NsiwIefg7l78bJC4uOPYsWugJGvfbglq1yp5Nsjyn6SDfWvVHI4O7b989Dgh8SyuXFmC6JgDKCw0fdbaxbkC6tQZhwb1p0KlsuysdVbWQ2z8tZkka9L4FTzRZI5Fdah4CYlnUVAgPWvt6hoMd3fLZ4NUrCjOBklIOIOCAh0cHe171tpWVCo35OfnSjK9PtPu1w0PXydkFSq0hKdndbNrqDXiWej8AnHv2Rz//gwAwEntJasWERERERERERGVX6fX78WR5VsRefZmkeesK4WGoPPzg9B6TE84/P85622frMSOeaskr/vgymr4Vi36zCUA3Dl6CV/0e0WSjf16NlqP7llir1M9u0ketxrVA+O++Xu/+N6ZG9i9aB1u7DuLAoPpc9aegb5oN6Evuk0fCrWrZeesUx7E462G0jkmfV4di36vjbeoDhXv3ukbMGilZ3F9KgfAL8Tyc9Z12jcSsrunrsGg00Oltu8564t/HEW+Xvq7kycGdnz0d+i/LiM+Rch8KgfA2UPeTU2D69fAGeyTZDcPnEPXFx7PeSdERERERERERGTaqjVr8O2y73Hq9Omi78EYFoYZL0zDhPHjH80GefeDD/D+hx9JXnfv9i2EhIQUe71Dhw+jSw/p/vSP3y/D0+PGldirg1ojeTx+7Bj89MMPjx6fPHUK8+YvwK49e4q+B2PFipj87ES88uKLlt+DMTIS1evUlWRvv/kG3n3rLYvqUPFOnDwp3oOxSmVUq1bN4lqdO3YUsmMnTtj9HowA4Ovri/CICEmmNTHfwhw5OTlC5u3tLasWAKSlpWHGiy9Jss/mfwpfX1/ZNf8tMTER+f+a0aNUKhFar56seo0aNhSyvfv2mXglERERERERERE9zjau3owVy9bh3OlLRe5Z1wurjUnTx2HU+MGP9qznv78ECz5cKnnd+TsHUCUkuNjrHT98GgO6j5VkS36Yh5HjBpXYq79Tbcnj4WMHYunyTx89PnvqIhZ/+h0O7Dla5J51hYoBGP/scEx9aSJcXV1KvOY/PYyMRtPaXSTZ7DdfwJy3Z1hUh4p39uQFYW83uEolVK1W2eJa7Tq2FLLTx89Dp9NDbedz1tbY+tsu5GRL96ldXJwxcGifIlZIGY1GJMYnC3logzqy+qnfsK6QHTt8Gvn5+VAqlbJqEhERERERERERlVdnfk3CsZ/j8eBCNorYNkfFus7oOLEiWg0PgIOjAgCw47Mo7FoULXndO6eawLeyxlSJR8JPZODLoTck2ehFNdByeEARK/42I+ik5HGLof4Y80XNR4/vn8vC3qUxuHkoHQUG02/Go4IKbcdUQJfnK0HtYtmciJSoPLzX6qIk6/VSMPq8bPl+LhXt/rksGPIKJZl3kBN8qxT/3TKlVhtPIbt3NhMGXSFUagfZPZbEkFeIyAtZYj+txfsilsQ/RAPvSk5Ii9U/yvS5hbh/Pgu1Wovvj4iIiIhKl/3+q5KIiIjoMXYvMhJd+g/E01NfwKmz54o8tA0A127ewnMvvox2vfsiKiamFLs0j8FgwMxXX0OHPk9i2+6iB40AQFxCAt6fvwBhrdvh6o0bRb6Oys7ZixeFrE2L5rJqVQ8JQWCA9JcbeXl5uHrjpqx65kpOSRUyXx95w0G8vbygUCiE/OyFC7LqERERERERERERlTfRifcx8cPeePPbybgSfqbY/eqI6Bt4/4fpGP9uN8SnRBf5urJiyDdg3spX8PR73XH4wk7kFxS9X52UHo9vN32MAbObIvzh9VLsksx17d45IWtUu5WsWsEB1eDnVUGS6Qx5CI+y/8/+6MVdQtaxqXmDQuzawxOl24Mt5BfkIybpgSRTKBSoV028YScRERERERERET2+7sfEoseUmZj43sc4ffV6sfvW1+/ex9RPFqLTpBcQlZBYil2ax5CfjxcXLkaXyS9g+7ETMPzrRnL/FJ+cgg9/WIFGw8fhWsS9UuySzHX2ungGunXD+rJqVQuqhEBfH0mWp9Pj2l37/+wb1qohZLcjH1pcJy45BZn/uqljrSqVoSnhppSmPscmdWtD7WT5YHCNWo3GdWoJ+fmbt4pdVz2oEtxcnCVZelY24lNSLO7hzgPxs2tYq6aJVxIRERERERER0eMoMysS23cOwJGjLyAx6RyAoves09Jv4tjxl7Bte19kZ5e/2SCFhQacPPUatm3vh4dRu1FYWPRZ61xtAi5eWoDfNrVFaipng5RHSUnizIsKFVrIquXhHgJnZ+lskIKCPKSm2Xc2iK0UFOiRlyfenFGj9rXrdQ2GbNyP/EPIa9caZVEdD/cQqJSukkyvz0BuboLFPWVkRAiZr0+YxXWIiIiIiIiIiKh8Sr4fi8/7voSVz32K+2duFHvOOvZGJNbMWISF3WciNbr8nbMuMORjw+wv8VmPmbi68yQKDEWfs86IT8H2T37Ge82fQcx1nrMujx6cF8/uVm8pb2/Sr1oleFSQnrM25OkRe/2+rHqWuLb7lJA17N3a7tctL7JTMoTM1cfyG0oWtzby/G3Z9YiIiIiIiIiIqHy5d+8eOnfvjvHPTMTJU6eKvwfj9euYPGUq2nbshKioqFLs0jwGgwHTZ72Idp06Y+v27cXfgzEuDu998CHqNWyIq9eulWKXZK4z58SZ1m1by9vrrV69OgIDAyVZXl5eqfzsGzZoIGS37li+xxoXF4fMzExJVrtWLWg0Gtm9vTx3LuLj4x897tq5M8aOHi27ninJJuZ/eHl5wcHBQVY9Xx8fIbt95w7S09Nl1SMiIiIiIiIiovIl8t5DPNVtDKY9MwdnT10sds/65vU7eOn5N9Gnw3DERMWVYpfmMRgMeHXW++jbcQR2bz9Q7J51Qlwi5n/wJdo06IUbV3lGszy6cPaKkLVo/YSsWiHVqyAg0F+S5eXpcPNa+f7Zr/t5k5D1G9QTbu5uZq1PT8tAQUGBkHv7esnqx9tHXJeTnYNb18Nl1SMiIiIiIiIiIiqPkh/kYcmQ61g9MwKR57NRzLY54m5psX72PXz+1DWkxehKr0kzFRgK8eub9/HFgGu4tjcNBYai30xmggE7P4vGRx0uIfZmTpGvo7Lz4FK2kFVv7i6rll9VDTwCVJLMkGdE3K1cWfXMFXMjB/k66ffQo4IKvlXknc+uZuL9P7zM7y8RERFReSDvX7IRERER/YeF372Hzk8OwJETJyxad/bCRbTr1RcPo6Pt1JnldDod+o8ag69++LHYw+f/Fh0biy79B+LG7fJ9gPd/0ZVr14WssYnBHeZq0rChkF2287CRPJ34ixonlZOsWg4ODlCpVEJ+8SqH5RARERERERER0ePvQXwEnnm/F87fPGbRumt3z2HcO10Rl1x+BmTrDTrMWDgU6/d8Z9F+dUJqDCZ+2Bt3o8WbB1LZuv1A3IetGyLuOZurbkgjE9cQh5nYUmFhIc7fEn8fVLtKfbte95/Ss1IQHiXd+3fRuKFyheql1oOtnL52ENm50htEPlGnDbzd/cqoIyIiIiIiIiIisrWIh9Ho9vwMHL142aJ1527cRKdnp+JhfIKdOrOcTq/HoJdfw7e//m7RvnVMYhJ6TJ2Jm/cj7dccyXI14q6QNapdS3a9xnVqC9mVOxGy65mrT7s2Qrb50BGL62zaf0jIerVpVeI6U59jYys+xyYyPkelUonurVoI+eaDln8Ovx84LGQ927S0uA4REREREREREZU/GRn3sH3HU4iPt2w2SFLyBWzd3gfZ2eVnNkhBgQ579o7GjZvLAZi/Z52TG4vtOwcgLZ2zQcqb1LQbQubrI/+Msq+veE47NfXxmKuRlnYTRmPhv1IFXFwC7Hrd+5FbkZ8vHeCtVLqgWsiTFtVxcFAiKLiLkEc+2Carp38LDu5qcR0iIiIiIiIiIip/Eu9GY1GflxB+zLIZCZHnb2Fh9xlIjSo/56wNOj2+HvYGDi/bYtE56/SYJHze52XE3Xpgx+5Ijuhr4vngyg1ryq5XuZG4NvqqeA1bKiwsRPjxq0Ie1KCGXa9bnuTr9EKmdBLncptLqRbX5qZnIeVBvOyaRERERERERERUPoSHR6Bjt+44fOSoRevOnD2LNh074eHDh3bqzHI6nQ5PDhiIr775xrJ7MEbHoFO37rhx86YduyM5rlwRf5fSuFFj2fWeaCyuvXTZsrk4cjzZt6+Qbfp9s8V1fvltk5D16d1bTksAgP0HDmDFyp8fPdZoNPj6yy9l1ytKXl6ekDk5ybsPJQCo1WqTeWn8LImIiIiIiIiIyL7uhkeif9fROHHkjEXrLpy9gt4dhiH6YaydOrOcTqfHqAHPYfnXqy3as46NjsdT3cbg9g37zzUmy1y/It4bs0HjUNn1GjYR1169XH5/VxF57yFOHj0r5KPGDza7hi5PZzJ3knnO2Ulteq+5PH+ORERERERERERElki8p8XiQdcRcTLTonUPLmZjUf9rSI0xvSdXFgy6Qnw3/haO/BQPC7bNkR6nx5Ih1xF3J7fkF1Opir2RI2TB9V1l1zO1Nvq6eA1birkhfq+Cw+S/h8oNxLUxdn4PRERERGQeZVk3QERERFSeJCQmoutTAxEbLw6VVavV6NqhPerVqQM/Hx+kpqch4t597D14CNk5f252xcTFYdDY8ejVrXzcTO2ZF2Zg78FDjx67uDijQ5s2CKtbF34+PsjJzUX43bvYe+gwUtPSJGvT0tMxcfpMHNu5HY6OjqXcORXlbmSkkFWtHCy7XuWgSmZdw5a8vTyRmJQsyTIyLfuFz19yc3Oh14vDpu/evy+rHhERERERERERUXmRkpGIZz/sg6S0OOE5J5UaLcM6oXpQXXi5+yIzJw0P4+/i5NUDyM3LBgAkpsVi1qIRaNe4R2m3btLb3z2Pk1f3P3qsUbugad12qBlcD17uvtDqcvEwPgInr+5HRrZ0vzozJw3vLJuCle/ug6MD96vLi+hEcR+2ol8V2fUCfcS97ugE++71RiXeQ1ZuuiTz86oAHw//R4/1Bh32ndmCwxd24GbkJSSmxaGgIB9e7r7wdvdDvWqN0LpBV7Rp2A0erl4W93Az8rIwfKdmcD0oFIpHj3O0Wdh18lccvbQbdx5eQ2pGIoxGI7w9/ODj4Y/6NZqhdYMuaNWgC5zVLhb3YAtaXS6+WPeWkE8e+GoZdENERERERERERPaQkJKKHtNmIe5fZ0ABQO2kQpfmTVE3JAS+Xp5Iy8xERFQM9p85i+xcLQAgNikZw+a8gZ6tW5V26yZN+mAe9p3+e5iwi0aD9k0aIbR6Nfh6eSI3Lw/hD6Ow//Q5pP7rnGtaZhYmf/ApDn2/lOesy5F70eIA9iqBFWTXC67gL2T3Yuw/5L1Xm1YIrR6CG/ciH2Xnb9zCup17MLK3eb/3iUtOwYKVqyWZk0qFKUMHlrjW1OdY2YrPMUjm5zhz1DBsPnhEsof+6YrVGNSlEwJ8vM269sqtO3Dx9h1J1rnZE2hYq6ZZ64mIiIiIiIiIqPzSahOxY9cA5OaKs0EcHdWoVLEDvLxqQ6PxgU6XjszMe4iJOQRD/p+zQXJz47B3/zhUDu5W2q2bdOToDMTEHnr0WKl0QWCF1vD2rguNxgf5+bnIyLiHmNhD0OmkZ631+nQcPToT/fpuhwPPWpcbWZmRQubmVll2PTdXcTZIpolrlEfhERuEzM+vMVQqN/teN3y9kFUL6S/rug3CpiAychuAv/esL1/+AtVC+sPZWdwHN+XOnbVISbkiySpVbA9fn/oW90NEREREREREROVLZmIaPu/7MjLiUoTnlGoV6nZ6AoF1qsLN1xO5aZlIvBuDmwfPQ5f95znr9NhkfDvybYT1aFnarZu0asoC3Dxw/tFjJxcNarVtiIr1QuDm6wl9bh4SI6Jx88A55KRlSdbmpmdh1dQFeGXvYjjwnHW5kXxfnF3jU1n++WDvoAAhS7pv33PWyfdjoc3IlmQeFXzg7uf16LFBp8elP47iyo6TiLocjvS4FBTmF8DV1wPufl6o3Kgm6nVuhtBuzeHiZbs96uzkDOxcsBp3T11HQngUclIzka8zwMXbHa7e7vCtGoiarRugVruGCGkmnSdiCRcvdyHTZsq/CWTuv/7+/iXpXgx8qwbKrktERERERERERGUrISEBnXv0QGysuGenVqvRrUsX1KtXD36+vkhNS0NERAT27NuH7Ow/999iYmIwYMhQ9O7Vs7RbN2nCs89iz759jx67uLigY/v2CAsLg5+vL3JycxAeHo49+/YjNTVVsjYtLQ3PTJqM44cPcTZIOXL3njhvumpV+TOtg4PFmdZ3792TXc9cfXr3QlhoKK7fuPEoO3vuHFavXYsxo0aZVSMuLg6fzJ8vyZycnPDClOdl9ZSbm4vnpk6TZG+89ipq2WHGhreXOPcjIyNDdr20tHSTecTdu+jUsaPsukREREREREREVLYSE5IxoPsYxMcmCs+p1U7o0LUN6tStCR8/b6SlpuNexAMc2nccOdl/no+Mi0nA2MFT0K1X+dgjmj5xLg7tPfbosYuLM1p3aI56obXh4+eN3Jxc3A2PxKF9x5GWmi5Zm56WgRmTXsWOIxu4Z12ORN57KGTBVcT5HuYKCq4oXuOueI3yYsOq34X7J4ZUr4w2HVqYXcPT29NknpmRBV8/H4t7ykjLNJnfj3hgcS0AeHA/Cp+88wXOnLyAB/ejkJKchsKCAnj5eMLb2wvVa4WgdfvmaNuhBeo3qifrGkRERERERERERObKTNLjy6HXkRFvEJ5TqhWo084TgbVd4OqjRG56PpLu5+HW4XTocgoBABnxenw/4RbCuph3/zZ7W/NiBG4d/vv8qJOzA2q29kDFOn++B31uIRLvaXHrcAZy0/Mla3PTC7D2pbt4cUt9ODjKm8FAtpf8QCdk3kFq2fW8K4lrkx/kya5nDlP1fYLlvwcvU+8h0r7vgYiIiIjMoyzrBoiIiIjKk+lzX0NsvPSGjo6Ojpj27ES8++oceLiLQ23z8vKwcOnXmPfFYuTl5eHS1WuIjhWHGJe27Xv2IuX/B4g4OztjzozpeHHK83BzcxVem5OTg7c/+RSLv/1Okp+9cBHrf/sdo4cNKZWeqWQPo6OFrHJwkOx6ptY+eBglu545fL19kJiULMkeRkejWZPGFtd6YOLzAIDIKPu+ByIiIiIiIiIiInv75KeXkJQm3Wt2dHDEiB7PY8rg1+Hm4iGs0enzsHL7YizfshA6Qx5uP7iCxNSY0mq5SEcv7kJ69p/71RonZ0x48iWM7fMCXDTize+0eTn46tcPsHrnV5L82t1z2HXiF/RtN6JUeqaSxSWLQ0Aq+ooDrs0V6CeujTVxDVu6G31TyCr5V330v7cdXYcv1r+F5PQE4XVJaXFISovDnYdXseXwarg5e2Bsn+kY03saXJ3F3ydZ1kMIAKCwsBBrdn2F737/FNm54sDq+JRoxKdE48b9i9i473v4egbg2admY0jXZ6BSOpndg7USUmLw+tcTER51XZKP7f0CWtbvVGp9EBERERERERGRfc1a+AXi/nX+09HRAVOGDsJbkybAw1U8o5yn0+HzNRswf+Vq5On0uHwnAjGJSaXVcpF2Hj+JlIw/B/c6q9V4ZdwozBg5FG4uLsJrc7RavPfdj/hy/S+S/NyNm9i4Zz9G9u5RKj1TyaL+9e8AAKByYIDsepUrVBCyB3HiNWxNoVDguzdfRdfnpkNv+HuwztR5C6FUKjG0e5di19+NisaIV99GQmqaJH9z0tOoFlTywPCH5eRzbFk/DNOGD8bS9b8+yuKTU/DUrDlYP+99VK0kDjD/p7U792DG/M8lmZuLM76c+5KZnRMRERERERERUXl24uSryM2V7jMpFI4IrfcsnmgyB05O4lnO/Pw8XL32FS5fWYyCgjykpl5Dbk7ZzwZ5GLUXOt2fZ60dHZ3RqOF01A97HiqVeNbaYMjB+YvzcP26dDZIUvIF3Lu/CTVrDC2Vnqlk2TnizAs3V/mzQVxdxbPW2dnlf66GTpeBiLu/CnmVyj3tet3MzPuITzgl5LVrjZJVLyCgGcJCJ+P6jb//7uVqE7B7zwh07fIT3N2rFLs+PGIjjp+cI8lUSle0bbNAVj9ERERERERERFS+bHh5CTLiUiSZg6MDOj03AH1fGw9nD/GctSFPj71LNmL3Z2thyNMj+updpMcmC68rbVd3nUJO6p/nrFXOavR8cQS6TBsCjZuz8FpdjhZbP1qBA1/9Jskjz9/C2V8PouXwbqXSM5UsNUqcmeFTWf75YJ9gcW3qQ/EathR784GQ+VYNfPS/T6/fi9/f/h6ZCanC6zLiUpARl4Loq3dxcvVuaDxc0O2FoegydTA07uK/IbBU3K0H2PrhCiHPTEhFZkIq4m49wLXdpwEAFeuFoNv0oWgxrCscVZbdKsjVR5w1lBaTCKPRCIXC8huYpkYlmsxT7PyzJCIiIiIiIiIi+3ph5izExsZKMkdHR7wwdSree/steHiI+0x5eXlYsGgRPvl0/p/3YLx8GdExZT/TetuOnUhJ+XP/3dnZGXNnv4KXZs6Em5t4zjonJwdvvfsevliyRJKfOXsW6zZswJhR8s6Qku09eCjOm65SubLselWqiGsfPBD3lG1NoVDgx++XoX3nLtDr9Y/yyVOmQqVSYfjQ4s/2R0TcxeDhw5GQIN2Tffftt1C9enVZPb317nu4d//+o8eh9ephzssvy6pVEl9fHyHLyclBSkoKfH19La5n6nsBAJGl8LMkIiIiIiIiIiL7mTvjPcTHSs8rOjo64tlpYzH37Rlw9xD3e/PydPjqsx/wxaffIi9Ph2uXbyIuxv7zgEuyd8dBpKakAwCcnTWYMXsynp81AW5u4lnxnJxczHv3C3y7eIUkv3D2Cjat34aho58qhY7JHFEPY4UsuErJ85uLElRZnJcc9aDsf+diitFoxIbVm4V8xNhBFp1NdnbWwNlZA602T5JHP4yFr5+4l1ySqIemPy+5n+OpY+dw6tg5IY+PTUR8bCJuXr+D7Zv3AACatWyMaS9NRN8BPWSdzyYiIiIiIiIiIirJL6/fR0a8QZI5OAIdJlRE71eC4ewuziAw5BVi/zex2Ls0GoY8I2Ku5yI9Ti+8rrRd35eGnLR8AIBK44BuL1RCl8mVoHZ1FF6ryy3A9vlROPS9dBb4g4vZOL85Gc0H+5dKz1Sy1GidkHkHqWXX8w5yEq8RJV7DltJs/R4qiWtNfU5EREREVPosm+JGRERE9B+2dddubNq6TZI5Ojpi9XffYOiAog8uazQavPnKS2jTojmeGj0WWq0WySkpRb6+tKSk/jlc2NfHB1vWrkKrZs2KfK2rqys++/B9KJVKfLb0K8lzy1evwehhQ+zaqy30Hzkax0+fKbPrjxw8CEsXfGr366SkpglZpcBAE680j6m1yaniYGpbql2zBm7euSPJTp07j0FP9rO41pnzF0zmSUllP6SeiIiIiIiIiIhIrsMXdmDf2S2SzNHBER9P+xE9Ww0qcp3aSYPJA+eice1WmLFwKPL0WqRllf1+dXr2n3uOXm4+WPLKL2hYq0WRr3XWuOKVMfPg6KDEyu2LJc9tOrQSfduNsGuvtjB9wRBcvHOqzK7fu81QvDHhc7tfJyNb3Ev29xaHhZjL30tca+/vb1xylJC5OXugoLAA7y6biq1H15pdK1ubiW9++wg7TmzAkld+QdXAmlb04A5tXg5eXjwGJ67sM7uHlIxEfPrzbOw8sRGfv7Qevp7yb7BZktTMJNyKvIKD57dh+7H1yM3Lljw/rs90vDjqI7tdn4iIiIiIiIiIStf2oyew+eARSebo6IAV772FId06F7lOo1bjtWfGoXXD+hj08mvQ6nRITs+wd7slSsnIBAD4enrgt88+Qcv6YUW+1tXZGfNnTYPS0RGfr1kvee6nP7ZjZO8edu3VFga9/CpOXL5aZtcf3qMbFs950e7X+evn+k8V/fxk16voJ95AMKWUvr/NQutizUfvYuxb7yFP9+dwnDydHuPeeh8/btmGsX17oVWDMAT6+UKlVCI1IxNXwiPwx+GjWLNjD7Q66TCP54YMwOxxo826tqm/o5Ws+BwrWfE5fjpjKlIzMrF2555H2aU74Wg6egLG9O2FJ9u3Q4NaNeDt4Q69wYC4pBScunoNK7buwPFLVyS1XJ01+G3Bx6hROVj2eyEiIiIiIiIiovLh4cPdiHwgnQ2iUDiiU8dvUb1a0bNBlEoNmjR+GRUCWmDPvjEoKNAiT1f2Z611uj/P5KrVPujRbTUCAoqeDaJSuaJViw/goFDi6jXpbJDbd9agZo2hdu3VFvbsHY2ExNNldv3q1Qehbev5dr9OXp44G8TFRf5sEFNry8P3tyQXLs6DXp8uyRwd1ahde5RdrxsesQGAUZJ5uFdDYGAr2TVbtngPOl0qIu7+8ihLSb2KTZs7oFbNEahapRd8fMKgVnuhoECP3NwEJCaewe3wtUhIkP77AqXSBd27rYaHR3XZ/RARERERERERUflwZedJXPzjqCRzcHTAhB9eR9NBnYpcp9I4oc+cMajRMgxfD38TBq0O2Sllf846J/XP87iuPh6YuvFDVGseWuRr1a7OGPLxFDg4OmLfko2S5078vAMth3eza6+28PWwN3D31LUyu36zIV0wctFMu18nO1U8Z+0ZKJ7xNZdnRXGtvb+/qVEJQubs7oLCggKsfuEznFq7x8Qq0/Iyc7Ht45U4s3E/pm78EAE1Su98cdzNSKyaugCHl23BsyvehF+1SmavDageBIWDA4yFhY+yvMxcxN16gEr1QizuJfL8TZN5VlK6xbWIiIiIiIiIiKh82LptO377/XdJ5ujoiDU/r8SwIUXfg1Cj0eCt119H29at8eTAQX/egzG57O//lvL/94H09fXF1t83oVXLlkW+1tXVFYsWzIdSqcTCRYskzy3/6SeMGWXfs6u28OSAgTh24kSZXX/k8OH4+ssldr9Oion7e1aqKH+mtam1ycmlc866ebNm2Lh2LUaMGYO8vDwAQF5eHkaOGYvvf1iO8ePGok2rVqhYsSJUKhVSU1Nx6fIV/L5lC1atWQOtViupN/X55/Hq7Nmyejl77hyWLF366LFCocC3Xy2FSqWS/waL4e/vDx8fH6T+636Xp06fQd8+vS2ud+as6fuPJiYmyeqPiIiIiIiIiIjK3u5tB7Dt992SzNHREd/+/BkGDO1T5DqNRo2X35iGFm2ewOgBz0GrzUNKsji/obSlpqQDAHx8vbBm8zI0a9m4yNe6urrggwWvQ+moxNJFP0ieW/3TLxg6uujZKOXFqAGTcfr4+TK7/uART2L+l+/a/Tpp//9z/afAivLv+xdYqYKQpaaU/ffXlKMHTyLqQYwkc3BwwPCxAy2uVaN2NVy7LD2bfO70JTR6or7FtS6cuWwyT06y/97/udOXMGH4dHTq3g7frFgIP38fu1+TiIiIiIiIiIj+d1zdk4rLO6TnLh0cgXFLa+GJ/kXfH06lcUCvF4NRvbk7vht/C4a8QuSk5tu73RLlpP3Zg6u3EpNX1kW1pu5Fvlbt4ohB74bAUanA/m9iJc+dXJeI5oP97dqrLXw37ibunc0qs+s3HeCHYZ/Yf47xXz/Xf/IMdJJdz7OCuNbe39/sFINZfZjLM1A8j23qcyIiIiKi0qcs6waIiIiIyosvvvlWyN6e8wqGDjDv0HKXDu2xdP48TJxu/yHJ5lIoFFj5zVdo1azoGzr+03uvzsGGTb8jOvbvTegjJ04gNS0NPt7e9mrTJrJzcpGRKQ6PLi25/xp8YQ+ZWVnIzxc3Vp01Gtk1XZydhSwtLV12PXN0aNMaW3bslGSbtm7FvHfegoODg0W11m/63WSeklY+D58TERERERERERGZY9WOpUL2/KDX0bPVILPWtwjriNeeXoR3lk2xdWuyKRQKfDT1BzSs1cKs108d8iZ2nfwVCal/D3M4f/MYMrJT4elWvgcY5OpykJ1bdjfSzNPl2v0a2bmZyC8Q96vVTvL3qzVqFyHLzLbvXm9KunhDRxeNG95ZNgXbjq4zuUat0sCQr0ehsdDk8w/iIjDunS5Y9vp21KnaoOQeMsQe1E7OmLloOM5cP2xyjcbJGTpDHoxGo8nnr0ScxZi3OmHFO3tRwTeoxB6KkpWbgd4zw6Sh0QitLgcFhQUm1zSs2RzThr6NlvU7yb4uERERERERERGVP0vWbRSyNyc+jSHdOpu1vlOzJ7B49ixM/vBTW7cmm0KhwI/vvoGW9cNKfjGAtydPwMa9+xHzjxvBHb14GakZmfDx9LBXmzaRnatFRnZOmV0/9/9vSmhPmTk5yC8Q9y2d1WrZNU2d0U7LLL2BKf06tMXxn77DC/M+w8kr1x7lh85dwKFzF8yq4efliY9feB5j+5l/M8T0LPE9asroc3RwcMDyd15H20YN8d53y5H4/2fEc7R5+O7Xzfju181m1WndsD6+e3MualWpbHbfRERERERERERUfl27Ls4GadJ4NqpXM282SKVK7dGm9ac4emyGrVuzggKdOnyNgADzZoM80WQu7t37HTm5f88GiY8/AZ0uDWp1+Z4NYsjPgV5fdrNBCvLtPxtEr8+C0SietXZUyj9rrVSKs0F0unTZ9UpDbNwx3Lj5o5CH1psEV5dAu13XaCxEeIT4u61atUZYVVehcEDHDl+hQoVWOH/hE+TlJQMA8vNzcfPWj7h5S3yvplQIaIH27RbD07OGVf0QEREREREREVH5sP+rX4Ws72vj0HRQJ7PW1+nYBCM+m4FVUxfYuDP5FAoFnv7+VVRrHmrW659842mc++0g0mP+PmcdfuwKclIz4epTvs9Z63K00GaU3Tlrg1Zn92toM3NQmC+es1Y5yz8f7GRibU6afc9ZZyakCpnazQWrpi3E6XV7Ta5RaZyQr8+HsdD0fJDEiGgs6DodM7cuRHAD2+zZOigdoXRSQZ9b/Bn6h5fu4JOOUzB59Xuo06GxWbVdvN0RFFYN0VfvSvLzmw6h0htPW9RnWkwS7p68ZvK5nLSy+z0OERERERERERFZ5/Mli4XsnbfexLAhQ8xa36VzZ3y1ZDGemTTZ1q3JplAosOqnn9CqZUuzXv/+O29j/cYNiI7+e6b14SNHkZqaCh+f8j3TOjsnGxkZZTfTWqu1/0zrzMxM0/dgNHEfRXO5uIgzrVNL8f6F/Z/sh7MnT+D5adNw/MTJR/mBQ4dw4NAhs2r4+flh/icf4+lx42T1YDAY8Oxzz6PgH3NXnn3mGbRr21ZWPXMoFAq0b9sWW7ZuleQbf/0FffuYP+MEAHJzc/HHtu0mn0tNFX8/QEREREREREREj4dvFv8kZLPfmo4BQ/uYtb5959b49Mt3MePZV23dmmwKhQJfr1iIZi0bm/X6ue/OxKaN2xAbHf8oO3HkDNJS0+Ht42WfJm0kJzsXmRmlN4f533Jz7T8bJCsz2+SetcZZ/mwQZxNr01LLbu+/OOtWbhKy9p1bIbhKJYtrtenQAtcu35Rkm3/ZgYlTxlhUx2g0YvMvO0w+l5qSbnFf/6ZSqaBUOkKrLf6s96G9x9C5eX9s3PYj6tWvbfV1iYiIiIiIiIiIAODgsjgh6/1SZTzR38+s9bXbeWLYx9Ww5qW7Jb+4lCgUwNgva6JaU3ezXt/nlco4vzkZ6XH6R1nEyUzkpBng6q2yV5s2ocsthDZTnN1RWvRa03MzbEmblY/CfKOQqzQOsmuqnMW1Oeni3rwt5WaYmLFixXtwcnYUsgKDEXnZBdC4ic8RERERUemR/195RERERP8ht8MjcPj4CUlWPaQqZk9/waI640YMR6vm5t1AsTQMfao/enXtYvbrNRoNRg8Th6tcuHLFlm2RTEUdDnfWyB82otGIB7e1ecUfErZW986dhCzyYRQ2bPrdojrnL13GvkOHTT5n7/dARERERERERERkL5Gxd3Du5lFJFhxQDU8/OcuiOv07jEbDWi1s2Jl1erQchLaNupv9erWTBn3bjRDym5GXbdkWyZSnN71frXGyYr/aSdyv1hVxHVvJ1ooDYc5cP4xtR9dJsq7N+2PJyxtx9PtonF6RhLM/p2L7F9fw+oTPUbmCeNPGjOw0vLJ4LLJySx6Ukq0Vb3S49ehanLn+9/63g8IBAzqOxbLXt+Hk8nic+ikRZ1emYvOC83hx1Ifw86og1IhLicKcL8fDkG8osYeiGI1GZOdmSP9oM1FQKB4093LzwdvPfokV7+xDy/qdZF+TiIiIiIiIiIjKnzsPHuLIhUuSrFpQJbw0dqRFdcb07YWWDcJs2Jl1BnfthB6tzbuhIwBo1GqM6t1DyC/dvmPLtkim3CLODjurnWTXdFarhUyr08muJ0do9Wo4sGwp9n27BIO7djZ7Xb1qIVgy50Xc+n09xvaz8EaIJj7Lsv4cnxnQDzd/X4dlb85FzcrBZq8b2r0Ldi5dhAPLlqJWlcoWXZOIiIiIiIiIiMqn9IwIxMUfl2Tu7lXRsIFls0Fq1RyOAP/yMxukWrWnEBxs/mwQpVKDmjWHCnlyCmeDlAf5+bkmc6Wj/Js6mlpbkF9+52potYk4fHgKAOmQbne3KmjS+CW7Xjs27ihycqIlmULhgFo1h9ukft06YzF86Dm0b7cEHh7VzV5XvdpA9O75G/r13QZPT/EMOhERERERERERPX4SwqMQflQ6A8MvpCK6z7RsL6rVqB6o1iLUlq1Z5YmBHRHWzfx5JSqNE1oO7ybkUZfDbdkWyaTXmj63q9KIZ3zNpXIW1xry7HvOOi9L3Hu/ffgiTq/bK8kaP9kOUzZ8iM8ebsbihB34MnknPriyGiM+mwH/6kFCjZy0LHw/7n1oM7It7skjwButRvXAuG/n4LUj32BRzFYsTdmNL+K2YUnSn9cdv+xVPDGgAxwcxdsCaTNysGzMu4i7/cDsa9brIv5+69hP25Cbbln/e5dsRGGB6Rt6FvWdISIiIiIiIiKi8u327Ts4dPiIJKterRrmvPyyRXXGjx2L1q1a2bI1qwwbMgS9eoqzPoqi0WgwZtQoIb9w8aIt2yKZcnNNn7N2dpY/09rU/Ru1WvvOtP63sNBQHD14EEcO7MewIeI9QIsSWq8evv7yS9y/cxtPjxsn+/qfLlyIq9euPXpcoUIFfPrxR7LrmatHd3He/MZff8O9e/csqvPd9z8gLS3N5HOl/bMkIiIiIiIiIiLbiLh9D8cPn5ZkIdUrY/orz1pUZ8TYgWjeqoktW7PKU0N6o2vPDma/XqNRY+iop4T8ysXrtmyLZMrNLeI+jCbOSpvL2VmcDZKnLX+zQbIys7Fjy14hHzlusKx6nbu3E7JTx87hzMkLFtXZsWUvwm+b3mO29HOsXDUIT08eiWWrFuHIhW14mHEFsTnX8TDjCqIyr+LUtd34/LuP0LlHe5Pr42MTMWrAZCTEJ1l0XSIiIiIiIiIiIlMSIrSIOJkpyXyrqtF1aiWL6rQY5o+Qpm62bM0qTZ70RWhnb7Nfr9I4oPlgfyGPvppjy7ZIJoPW9AwKJ404L8NcKhNrDXmmr2Mrem2BWX2Yq6i19n4fRERERFQy+f+VR0RERPQfsm33HiF7ZsxoODk5WVRHoVBgyoQJtmrLatOfm2Txmg5t2gjZlWs3bNEOWcmQbzCZa6wYkK3RiAe39Qa97HrmCK1TB906dRTyWa+/iaiYGLNqZGVl45kXpsNoNJp8Xq+373sgIiIiIiIiIiKyl8MXdwrZwE7joFJavl89vJvle8T2MqrXFIvXNKsnDmC48+CqLdohK+UXmN6vdlKJe87mMrXWUMR1bMWQL95kMDPn7+HOzmpXLJ39Gz6btQYdnugNdxdPAICjgyOC/KtiWLdnsWn+GQztOlGoE5VwF4vWvF5yDyb25P/Zg4+HP35+7wDenfw1WoR1hLPGFQCgdFQipFJtjO87E1sWXkSnpn2FOpfDT2PF1s9L7MEW0rNT8f4P0/HkS42wcd8PKCzkIXEiIiIiIiIiov+K7cdOCNmE/n3hpFJZVEehUOC5QeKA6bIybbj5N8j7S/smjYTsSvhdW7RDVjLkiwMyAEBj4b8HKGmtvojz3PZiNBqx+eARvPPtD/j94GGz1928H4nlm7di5dad0OaJe+HFMfVZlvXnmJqRiUWr1uGDH1YgIira7HXbjhzH179swtELlyy6HhERERERERERlV9RD3cLWZ3aY+DoaPlZ63r1ys9skLBQy899Bwa2FrLUVN7UsTwoLMw3mTs6yj9r7egozhUpKCyfczUKCnTYt/9p5GoTJLlC4YgOHZZCpbLvYPjw8HVCVqlSR7i6WjbEvig6XRquXF2KCxfnIzPT9I0iTXnwcBdu3PwBcfHi796IiIiIiIiIiOjxdGXnSSFrM643lE6Wn7Pu8Gx/W7Vltc5TBlm8plbbhkIWfc38/TOynwKD6T1rlUb++WCVWlxboDd9HVvJ14nnj3PTsx79b7WrBtN+/RiTV7+LBr1awdnzz71oB0dH+FYNRIdn++Ot0z+g/TP9hDpJ92Lw2xvfmd1LaNfmmLLxQ3x8ewPGfTMHrUb2QOVGtaBxc370GqWTCr5VA9FyeDc8u/JtvH32J9RoFSbU0mZk49sRbyNfb9756o6T+sNB6SjJspLSse7FL4qc0/1vtw6ex+FlW4p83t4/SyIiIiIiIiIiso+t27cL2cRnJsi7B+Nzk23VltVmvDDN4jUd23cQsstXONO6PDAYiroHo/xz1qbu31ja9y80Go3YtHkz3nj7bfy6aZPZ627cvIllP/yAH1eshFarlXXtW7du46NP5kmyzxcugJeXl6x6lhg7ehR8fHwkmU6nw9PPPmv2z+Da9et46913i3ye96IkIiIiIiIiIno87d5+UMhGTxgqa896wnOjbNWW1SZPH2/xmjYdWgjZ9Su3bNEOWSm/iHPWpvadzaU2tWddxN54Wdr8y3bk5kr3pT29PNB3YA9Z9br0aI9adaoL+fSJryIzI8vEClF8bAJmT3+3yOfN/RwHDuuLPw6swYXwg1iw9D0MHN4P9erXhrPz37+L0GjUqFG7GsZMGIqN25Zj3+nfUbtuDaFW9MNYPDtqplnXJSIiIiIiIiIiKs61fWlC1npkBSidHCyqo1Ao0H58oK3aslrHiRUtXlOztYeQxdzItUU7ZKUCg+mZFUq1Zd/Tf1JpxLUFhkLZ9cxRkC++D5VaIbteUWvz9fZ9H0RERERUMmVZN0BERERUHpw+f17Ihj71lKxaA/v1wbMzVUUOhigtnh4eaNm0qcXrwurWEbKUtFRbtGRXB/74vaxbKDMKhfzNW1NLzR3ObI3XX3oR+w4dlmQpqano1O8pbF7zMxqEhha5Njo2FkPGTcD1W7ft3SYREREREREREVGpuxp+Vsh6tLL8ZogA0KV5fyiXTUV+QdnuV7u5eKJBjeYWr6sRVE/I0rPL/3718jd3lnULZca6/Wpxrb33q4ur76BwwOKXN6BFWMdia6iUTnjjmS+Qp9di69G1kue2Hl2H5wa9hkDf4KJ7QNE9aJyc8f0bO1AjuG6xPbg6u2PhzNWY9ulAnL5+SPLcml1fYUzvaXDWuBZbw1ZikiLx8U8vYsfxDZg/42cEeFv+jyWIiIiIiIiIiKh8OXPthpAN7tpJVq2nOneA6qP5MOSbHmZcWjzdXNEiTNyDLkm96iFClpqZaYOO7GvPN4vLuoUyY/tz1lY0Y6EHsXGY8O5HOHnlWpGvUTo6QqVUQqvTCc9dvhOBlxctwWer1uK7N+eiW0vLf1fzl7L8HH/ddxAz5i9CWmbRw7md1Wro8w0oKJAOMNHqdNh6+Bi2Hj6GPm1b4+vXZ6OCr08RVYiIiIiIiIiI6HGQmCTOBqkW0l9WrZCqfXHUYRYKC8v2rLWTkwcC/C2fDeLtJZ4v1enE4d3lTd/em8u6hTIkf6/V5GZrMeeQy4rRaMSRYzORmHROeK5Z09cRWKGVXa+v12ci8oF4nr92zZE2qX/v/hYcPzEben16ka9xdHRGYaEeRmOBJC8o0OLBw5148HAnKlfugfZtF8HZOcAmfRERERERERERUdmIPHtTyJoO7CSrVpMn22G1SokCQ9mes3b2dEVIs+LnG5hSsV6IkOWklv9z1i9uX1TWLZQZK44Hl8k86+LqKxwc8Py6D1CnY5NiayidVBj5+SwY8vQ4tXaP5LnT6/eiz6tj4RNc8r7tqC9mmdXzPwXUCMKs7Yvw85T5OLtxv+S5pHsxOPrjNnR+fmCJdXwqV0DLEd1xcvUuSX5+0yE4OikxctFMqF2di1x/aesx/DTpExgLeeNIIiIiIiIiIqL/mtNnzgjZsMGDZdUaNGAAJk5+ruzvwejpiZYtWli8LixUnCeSkppii5bs6uDevWXdQpl53GZa/1NkZCTGTpiA4ydOFvkapVIJlUoFrVYrPHfp8mXMfOklzP/sMyz/7lv06N7d7GsbjUZMmvI8dP+YOdKrRw+MGDbMsjchk5ubG2ZOfwHvvPe+JD92/ASeHDAQa1f9DF9f3yLXHzt+HIOGDUdubq69WyUiIiIiIiIiolJ27vQlIXtqSB9ZtfoO7AHV5NfLfM/aw9MdTVs0snhd3dBaQpaakm6Djuxry77VZd1CmbH1HOZSHWhtpnUrNwnZwGF9odGoZdVzcHDArLnPY9ozcyT5vYhIPNVtDFb99g2Cq1Qqcv3tGxEYM+g5JCUky7r+Py1b/bnFaxo1CcOek79h7KDncfTgKclzp46dw66t+9Hrya5W90ZERERERERERP+7Is+L915r8mTRZyyL06iPD9a+rECBoWz3Hp09HFH1CTeL1wXWFuch5KSV7awVc8z4NaysWygzVs0nMZGVyba5rYesAOVxNDgRERHR/xyHsm6AiIiIqDw4d/GS5LG3lxdqVAuRVcvFxQWhdWpb35SVGtWvDwcHy/9zz9vTU8gyM8UNeip9KqXKZK7V5smuaWqt2kneYWhLdGjTGi9NmyrkD6Ki0KxzN0yaOQu7DxxEfEIiDAYDklNScOzUabzy1jsIbdUG5y5derSmUmCgUEfugW4iIiIiIiIiIqKydv3eBcljD1dvVK5QXVYtZ7ULqgdZfiNFW6tTtYGs/WoPVy8hy84t/zd0/F+gdDS9X63Ti0OjzWVqrZPSSXY9cxT1PgBgaLdn0SKso9m15o5bAH8v6X51foEB6/d8J7uHKUPeQI1g8/4OKx2VeO+5b6Bxkv5Dg/TSDbf7AAEAAElEQVTsVGw9ts6sGv/m4eqFS2uyJH/Or0rHoW8j8eu803j/uW/RveVAk+/h0p1TmPRRH6RkJMq6NhERERERERERlR/nb96WPPb2cEf14CBZtVw0GtSrVtUWbVmlYa2a8s5Zu7sLWWZ2ji1aIiuplI4mc+0/bkpoKa1OL2RqVdF7urZ04959tJ84BSevXJPkTioVxvbthd8XzUP07i3IOr4fqYd3I+3wbhz98Vu89/yzqOTvJ1kTm5SM/rPm4MfN28y6tqnPsqw+x0Wr12Psm+8h7V//niEowB/vT5mE4yu+Q9rh3Ug9vBtZx/YjatdmbPrsE4zu0xMqpVKyZsfxk2j3zPO4HxMr+70QEREREREREVHZS0q+JHns5OQFD49qsmoplS7w8ir72SA+PvWhUFi+Z+3kJM4G0et51ro8cHBQmswLCuSftS7IF2eDODqUv7kap8+8hXv3xBs71q41Gg0bTLf79e/d+134nJ2cvFC1am+ra1+5uhQHD02CXp8uyV1dKqFZ0zfw1JN7MX7sQzw97gEmjI/F6JE30b3bGtSsMQwODtJ98aioPdiytScysyKt7ouIiIiIiIiIiMrOg4vSc9YuXu7wr15JVi0nFw0q1i37c9bBDWrIOmft4iXehFGbyXPW5YGjyvSetV4rnvE1lz5PXKtU2/ecdVHvAwA6THwSdTo2MbvW0E+nwTNQevPTAkM+Di/bIrs/czgqHTH2q1dQrUWo8NyuhWtQkF9gVp0hHz8P/+riv+k4s34f3m36NHYvWofoq3ehzciGQadHalQCzv16EEsHvYplY96FQfv32fB/fw4AoNLYd9YLERERERERERHZx9nz5ySPvb29UaNGDVm1XFxcEFqvni3askrjRg3lzQbx9hayjAyesy4PVEXMmtBq5Z+zNnkPRnXpnLO+fuMGWrZrj+MnTkpyJycnPD1uLLZt3oyk2Bjoc7KRk56G3Ix0nD5+DB++/x6CgqT7vDExMej9ZH98v3y52df/+tvvJNd2cXHB118use5NWejV2bPRpnUrId+7fz9qh9XHm++8gzNnzyI1NRV6vR6xsbHY8sdWjBwzFh27dkNycvKjNZUqib9n02g0du2fiIiIiIiIiIjs49L5q5LHXt6eqFajiqxaLi7OqF1P3n63LdVvVE/WnrWnt4eQZf5rzi6VDWUR55NN7TubK08rznB2cipfZ3Mjbt/D2VMXhXzk+EFW1R02ZgD6DxZne1y7fBNtGvTCGy9/hBNHzyI5KRUGgwGJCck4tO84XpryJjo164/Ie1GP1gRWChDqaOy89+/q6oKfNixFiIn/W7Xgw6V2vTYREREREREREf33PbycLXns4uUI/xB5ZySdnB0RWMvZFm1ZJSjMFQ4OCovXuXiJe7ParHxbtERWclSZ/nka8gpl19SbWKt0svz3LZZwVIrvw5r3UNRapdq+74OIiIiISsb/IiMiIiICEBsfL3kcWreOVfXC6ta1ar0t+Pn6yFrn6uoqZLlWDLMg23F2Nv1LkTydFQe388S1zqU0oOLjt95Ar25dhbygoAA/rVmHvsNGIDisAZwrBiOwTig69euPL775Frm5f38fG4TWw7x33hJqeLi527V3IiIiIiIiIiIie0lKj5M8rhFs3X5zzcriTd5Km7ebeHM3czhrxP3qPH2ute2QDaidTO8j6wxW7FfrTQzHdrLvgX+N2nR9B4UDxvWdYVEtNxcPDO7yjJCfunaw+B6KeI9uzh4Y2nWiRT0E+gajRytx6MmpqwcsqlMcRwdHeLn7omblUPTvMBoLZvyMbZ9fQfvGPYXXPoiLwDvLptjs2kREREREREREVDbikpIlj+tVC7GqXmj1alattwVfL09Z61ydxf28XBNncan0ORcxcDlPr5ddU6sTB2QXdR1bSs/KQv9Zc5CUli7J69eojjOrfsCyt15Frzat4Ov59/dYo1ajWWhdzHl6DK7/ugaTBz0lWWs0GvHCp59h94nTJV7f1Hssi89x04FDeGPpt0L+/JCBuP7rGswePxpP1K3zaNi2QqGAn5cXerdtjR/efg2nV/2A0OohkrXRCYl4cuZsZOfy901ERERERERERI+r3FzpbBBvb+tmg3h7lf1sEI1a3mwQlUo8a52fz9kg5YFSafp8cEGBuF9qrvwC8fcRjsrSmQ1irgsXF+D6jWVCHlK1L9q2WVgqPdyJWC9kNaoPgqOjdfv79yO34uy594U8tN5EDB1yGo0azoSfXyMo//9nolAooNH4okrl7ujYYSkGPHUAXv/6vzc5OTHYvXs4DIZsoS4RERERERERET0e0uNSJI8r1qtqVb2K9UKsWm8Lbj7yzlmrXcV9Ub1W/p4o2Y6Txslknq+Tfz7YYOJnq9LY95y1k4vp+goHB3SbPtSiWs4ermg3oa+Q3zp4XlZvllA6qTB03lQhz0pKx/2zN8yq4ezphkmr3oGrj4fwXEZcCra8txwft3sOL1cZgJkBffBm/dH4ceJHuLH/nOS1fV4di2rN6wk1NO4uZr4bIiIiIiIiIiIqT2JjpTOtw0LFvR9L1A8r+5nWfr5+staZugejVssZA+WBs4m5LYDp+yiaS5snnqEv6jq2lJ6ejt5PPomkpCRJ3qB+fVw6exY/fv89+vTuBV/fv2ezazQaNG/WDK/PnYvwG9fx/OTJkrVGoxHPT3sBO3ftLvH6UVFReP0t6b0b337jDYSEhMh/UzKoVCpsWLMG1UxcNy0tDR/P+xSt2rWHX8VK0Lh7ILhadQwcOhQbfvkFRqPx0WvHjx2DYUOGCDU8PHgvSiIiIiIiIiKix1F8bKLkcZ3QmlbVqxdW26r1tuDj6y1rnaureC5Tm8t51uWBs3MR92HMk38OXqsVf7aaIq5TVtau/E3I6obWwhPNG1lde/Gyj9CwSZiQa7V5WPblSjzVdTTqBbVCJdcwhFVug6F9JmDV8o3Iz89/9NqOXdtg6izxXpDuHm5W91cSTy8PvPH+S0J+5eJ1xEbHm1hBRERERERERERknowEg+RxYG3r/k1/xbplPxPA1Vspa53axVHIDNpCa9shG1BpHEzmBp38n48hT1xb1HVsxVR9W7+Hoq5DRERERKWL/0VGRERE//Oys3MkhzABwMfLy6qa3l7yhlPbkpuJoSFy/XOoAZUdD3d3ODqKvyDI1cq/6aaptd7eXrLrWUKpVGLz6p8x5ZkJstY3a9IYW9evNflcxQoVrGmNiIiIiIiIiIioTOTmZSO/QLpf7ekqb0jHXzxcvaxabwvOGu5X/9e4OXvA0UHcr87Tyd+vztOJg8893Kz7/pfE09XHZB5a/QkE+Vt+M9UerQYK2Z0HV5GZk150D0W8xzYNu8FFY/mAkB4tBwnZhVvH7fp3J9A3GEte+QWDOj8tPHfs0h4cvVTykHAiIiIiIiIiIiqfsnNzkV9QIMl8PDysqunlXvY3UnOz4Y35uG9dPni4usLRUfynkrnWDMg2cUNI71K4EeAbS79DTKL0ho41goOw6+vPUSek5L1rjVqNxXNexNRhgyW50WjE8x/PR24JN7r0NvF3XFvKn2NmTg5mfLpIyKePGIrPX5kJtZNTidetVy0Eu776AtWCKknyu9ExeOfb5SWuJyIiIiIiIiKi8sdgyIbRKD1rrXay7qypWu1l1XpbUKlsd9Ya4J51eaBSuUOhEM9a5+fLP2ttam15+P7+5dr1b3Hx0gIhDwrqjE4dv4ODibPntpaeHo6kpPNCXrvWSKvq6vVZOH5itpCHhT2H1q0+gaOjusQa3l510Kf3Jri7S/f5M7Pu49z5T6zqj4iIiIiIiIiIykZethaF+dJz1q7e1p0zdfGyfL6ArandbHfOGjxnXS5oPFzhYOKctT63+DPFxdFrxbPF1n7/S1JU/apNasO3aqDF9Z4Y2FHIoq/dQ256tsW1LBXStC6qNa8n5Df3nzO7RnD96ph7YCkq1rV8NorCwQE9Zg1Hv9fGIy/LxKyXQNOzWIiIiIiIiIiIqPzKzs4W78Hobd0+j5eXfWcCm8PNjTOt/2s8PDxM34MxV9yrNJeptT7e9v/+znntdURHx0iymjVq4MCe3ahbt06J6zUaDb7+cgmmT5smyY1GI559/vkSP5MpL0xHVlbWo8cNGzTAS7NmWvAObCcoKAinjh1Fu7ZtZK0fN2Y0ln3zDbKys4TnAgMrWtseERERERERERGVsuzsHGHP2tvby6qant7WzcO2BVc3F5vV4p51+eDu4WZyz1prxTlrrdbEHGYfT9n1bK2goAC/rN0i5CPHi/c9lMPN3Q1/HFiDvgN6yFrfpWd7/Lj+S2hNnFcPCPS3tj2zPDWkNypUDBDyA3uPlsr1iYiIiIiIiIjov0eXU4DCfOm+sIuX0qqaLp7WrbcFtavtZg1z27x80Lg7wtQIab22UHZNg4m1rlZ+/0tiqr6pPsyl1xYImaNKAY2b/edtExEREVHxxOl6RERERP9jMrIyhczdzboB1+7u9h0wTP+bFAoFfH3EQSCx8fGya5pa6+dTekOVlUolvpw/D7t+24hWzZuZtcbZ2RnvzJ2DYzu3I7hSJWRl5wivqRwcZOtWiYiIiIiIiIiI7C4rV9yvdnG2br/Z1cr1RKYoFAp4uol7yUlpcbJrJqWLa73dfWXXM4e3h5/JvEHN5rLqVatUB24u0uEohcZCRCXcK7oH9yJ6qCWvhwY1xb329OxUpGenyKpnLoVCgdcnfI4aweJNJTfsXWbXaxMRERERERERkf1kmDij6ebibFVND1fb3VCR6C8KhQK+HuLw6rjkZNk145LFfVVfL/sOyI5PScHqHbuF/KvXXoGvp2XXnjdjCkIqSW9cGJ+cgp+37Sx2nanrxFrxOcbK+BxX/LEDKRnS35tVD66Ej194zqJr+3t7Yencl4T8py3bkJyeblEtIiIiIiIiIiIqe3p9lpCpVNbtOatUPGtNtqdQKKBWi7NBcnPlzwYxtVajtu9Za3Pdur0Kp8+8LeSBFVqjW5cVcHR0KpU+7oSvEzJv73rw82tkZd010OlSJZm7ewhaNHvHojrOGj+0bbNQyG/fWY28PPue9SYiIiIiIiIiItvLyxTPWavdXKyqqXHnOWuyPYVCAVcfDyHPiJe/L5kRJ65187XvOWs3Xy+TeUhzccaFOQJrV4Gzp/TvnLGwEEn3YmTVs1S9LuJskNibkRbV8KtWCXMPfoWB708y+/P3rx6EWdsWYsB7kwAAedm5wmt8ggMs6oOIiIiIiIiIiMpeRkaGkLm7W3cPRg8PnrMm21MoFPD1Fc9Ax8bJn2ltaq2fn33PWcfHx+Pn1auF/LuvvzL5/oqz8NN5qBYSIsni4uLw08qfi1yzdv167Ni169FjBwcHfPf1V1AqlRZd25b8/f1xYM8efPf1V6hSpbJZawIDA/HrhvVYsXw5VCoVsrOyhddUqWxeLSIiIiIiIiIiKj+yMsTZIG5WnpO2ds+byBSFQgEfE2eU4+MSZdeMj00QMh9fcf5IWTm49xjiY6XvT6lUYsiop2x2DVdXF/y04UssX7cEdUNrmbXGw9Md8798Fxu2LoeHp7vJ/eLgKpVs1mNxFAoFOnZtI+S3roeXyvWJiIiIiIiIiOi/R5uZL2QaN0eralq7nsgUhUIBV2+VkGfE62XXzEgQ17r62PfMs6uPifdgog9zZcQbxGt4l925bSIiIiL6m0NZN0BERERU1tRO4o3h9AZxQ8sSer1164mKUiU4WMiiouUPgo6OiRWyqmYOu7Clbh074tjO7Th7YB8+efst9OneDY0b1EdwpUrw8/VF7Ro18FSf3ljy6Se4f+k83pr98qPhIPcePBDqhdatU9pvgYiIiIiIiIiIyGpOKnG/2pAv//CmLdYTFaWiXxUhi0uJll0vIUXc665k4hq2VMnfdP1A3yBZ9RQKBQK8Kwp5RnZqMT1UNd2Dj/j7AHN4uvlAoxZvBJuRVXQPtqJ0VGJi/1eE/PzN48gvEP9BCBERERERERERlX9qJ3HogD7fur0efT7PWZN9VK5YQcii4uUPyI5OENdWrRgou545dh47KfxbhgY1a6Bj0yYW11IplXh+yEAh//3A4WLXVSkHn+Pmg2KPzw0eKOvmkl1aNEP9GtUlmVanw67jpyyuRUREREREREREZcvRUTxrXVho3Z5zYSHPWpN9uLmJczuyc+TPBskxsdbUNUpbxN1fceLkbCH382uC7t3XQKl0LpU+CgsLcPfuL0Jeu9ZIq2tHRm4TstB6z8DBwfI966BKHeHtXU+SFRRoERW1V3Z/RERERERERERUNpRq8Zx1gZXzqK1dT1QUn8ri+eDUKPnng9NixLU+VcRr2JJvEfW9g/xl1VMoFPCq6CfkOamZsupZKqCmOFMkKynd4jpOLhp0nzkcH15bgykbP0TnKYNQs00DVKhdBe7+XvAM9EWVxrXR7um+mLLhQ7xz/ifUatvw0frkyHihZsW6IRb3QUREREREREREZUutVguZtfdQ5D0YyV6qVhHnQT+MipJdLypKnIddtarpec+2sm3HDuj10n+L0LBBA3Tu1MniWiqVCtOmTBHy337fVOSaDz76WPL4+cmT0bJFC4uvbWtKpRKTJk5E+I0b2LtzB+a88go6d+qIsNBQBAYGokKFCmjUsCHGjRmNdatXITL8DgYNGPBo/b3794WaYaH1hIyIiIiIiIiIiMo3J7U4G8TaPWeDgXvWZB/BVSoJWfTDWNn1YqPFs7mVq8q7H6I9rFsp7j1369URARXEc9XWUCgU6D+4Fw5f2Irth9djzlvT0albW4TWr4MKFQPgH+CLOvVq4qkhvfHFso9x+f4RTHhu1KP1D+6Le/91QmvatMfi1KhVTciSE1NK7fpERERERERERPTfolQ7CFm+3mhVzXxDoVXriYriHSz+nictRie7XlqsOP/dp7L47x9sySdYrG/Ne0iPFdeaugYRERERlT7L7xZCRERE9B/j5ekpZJlZWVbVzMwsncG89Lf+I0fj+OkzZXb9kYMHYemCT+1+nRohITh38ZIkexgt/6aOptbWCAmRXc9aTRo2QJOGDTB7xgtmr7l286aQNW3UyJZtERERERERERERlQp3Fy8hy9Fat1+dncv96tI2fcEQXLxzqsyu37vNULwx4XO7X6dyhWq4fu+8JItPkT8cO87E2uAK4tAKW6pcobrJ3M3ZQ3ZNdxfx904Z2WmW9+BiXQ95ulxpDzlF92BL7Rr3EDKtLgcxSZGoGlh6A0+IiIiIiIiIiMg2vNzchCwrJ8eqmpnZ1q0nyw16+VWcuHy1zK4/vEc3LJ7zot2vUz2oEs7fuCXJohISZNeLSkg0eQ17OntdPBfduXlT2fW6mFh75voNGI1GKBQKk2tMvUdrPsdoCz/HwsJCnL95W8hNvRdzdW7eFNfu3pNkp69dx5i+vWTXJCIiIiIiIiKi0ufkJJ7R1BusO2ut11u3niy3Z+9oJCSeLrPrV68+CG1bz7f7dTzcQ5CcfFGS5WSLNxQ0V3aOOBvEwyNEdj1biIzchiNHp8NolA559/EORa8e6+GkEn/PZC/RMQeQq5XuZTs4qFCjxhCr6hqNhUhKviTklSp2kF2zUqUOSEuT/j4gMekcatUaIbsmERERERERERGVPmdPcf8rLyvXxCvNp83kOevS9vWwN3D31LUyu36zIV0wctFMu1/Hv1olPLggPZ+bGi2e8TWXqbX+1ex7ztq/epDJ3NnDVXZNU3+Pc9JL53dHbr7i772yUzJk13Ny0aBBz1Zo0LOV2WsyE9OQnZwuyZw93eBXraLsPoiIiIiIiIiIqGx4eXkJmbX3UMzIkL9fRfI8OWAgjp04UWbXHzl8OL7+condr1OjejWcPXdOkj18KH+mdVSUuLZGddPznm3l9NmzQta1SxfZ9bp1FdeeOn2myNkgebo8yeOvv/0WX3/7rezr/6VLj55CNuOFF/DFZwstqqNSqdC1SxeLPpPCwkJcv3FDkikUCjRp3NiiaxMRERERERERUdnz9BLvu5aVlW1VzcwMzgYpbaMGTMbp4+dLfqGdDB7xJOZ/+a7drxNSvQounpPO7Y6JipNdLzoqVrxGjSqy69lSWmo6dm/bL+Sjnh5st2s6ODigResn0KL1Exatu3lNnE3dqEl9W7VVIj9/byFLSSmde0ASEREREREREdF/j7OHUsjysvOtqpmXVWDVerLcd+Nu4t7Zsvt9RdMBfhj2iX3PSAOAX1UNHl6Szr9Ji9XLrpcWozN5DXsyVd9UH+ZKizXxHkLs+x6IiIiIyDzi/7dFRERE9D9GqVTCzdUV2Tl/b+pFx4iHWS0RFWvderJcdk4uMqwcEmONXK22VK7TsH4YNvy+WZJdvHJFdj1TaxuGhcmuVxauXheHbLRvbf5waSIiIiIiIiIiovJC6aiEi8YNuXl/DxeJT4m2qmZCSoy1bZGFcnU5yM4tu6HkeTrrbgJqrtpV6mPXyV8l2c37l2XXuxUprq1dpYHseuYIDqgGNxdP4edlyJd/8FtvEA9Nq52KPjRdN6Shydxgoo75PeQJmVrlLLueJTxcvUx+phlZqUBgqbRAREREREREREQ2pFQq4ebijOzcv8/JRickWVUzOiHR2rbIQtm5WmRk55T8QjvJzRP3LO2hQa0a+GXvAUl26Xa47HqXbt8xcY2asuuZIyElVcgqBwbIrmdqbZ5Oj/SsbHh7uJtc06BWDSGz5nO8aOHnmJaVBb3BIOS2/hzik8XPmoiIiIiIiIiIyjcHByVUSlcY8v/e78zJsW62R04Oz1qXNkN+DvT6spsNUpBfOrNBfHzCcO/+75IsOfVqEa8uWUqKOBvEx7vsZoM8jNqDg4efg9EoHfDu6VkTvXr+ArVavHmhPYVHrBeyysHd4azxs6quTpeOwkLxbLmbW7Dsmm6u4trcXP7+jIiIiIiIiIjoceOodITazRm67L/3HNNirDtnbe16spwuRwttRtmdszZo5c+VsERQ/eo499tBSRZ1Wf754KjLESavYU9+1SrC2dNV+Hnl68Vzx+Yy5In7vyqNWnY9S+hN/OydnEvn2n+JvnpXyGq1bQAHB4dS7YOIiIiIiIiIiKynVCrh5uaG7Oy/Z1pHRVs30zrayvVkueycbGRklN1Ma622dGZaN2zYEOs3/iLJLl66KLvehUuXhKxRQ9Pznm0lIT5ByKpUriy7nqm1eXl5SE9Ph7d36Z7LLisREXeRmyv9DjaoXx++vr5l1BEREREREREREcmlVCrh6uaKnH/MQo6NirOqZky0devJcjnZucjMyCqz6+fmls5skLCGdfH7xu2S7MrF67LrXbl4Q8jqN6wru54tbdqwDTqd9Py0f4AvuvfpVDYNFUGrzcO9iAeSzNPLA/Ubld7nmJsrzlN3cS76PpRERERERERERETFcVQqoHZ1gC6n8FGWHivOOrBEmpXryXK63EJoMwtKfqGd6LWFJb/IBoJCXXFhS4oki76aXcSrSxZ9TZzpEhTqKrueOSqFuoh9XJc/Wybqqqn3IF6DiIiIiEofp6URERERAahXp7bk8e2ICGi18g/iXroq/yZ7RMVp3qSJkJ08e05WrXuRkYhPlN70T61Wo0FoPVn1ysLZCxcRGx8vyVq3aA5fH58y6oiIiIiIiIiIiMg61YOkAwEexIUjTy9/v/rWg8vWtkRkUv0azYTscvhpWbWiE+8jOV06qNpJpUatymGy6plLoVCgfvWmQp6RnSa7ZkaOuNbbvejB0J5uPqgSWMOsOuYoKCxAdm6mRT3YmpPSScxUHDZCRERERERERPS4qhsSInl85+FDaPN0sutdvhNuZUdEpjU3cQb61JVrsmrdj4lFfEqqJFM7qVC/RjVZ9cylz88XMme1WnY9F43pvVmdoeiBO6Y+x0u370Cnt3xIT55Oh0u3xb/zzerVKXKN3iB+BoDtP4fiPgMiIiIiIiIiIiq/vLyke0sZGRHIz5d/1jollbNByD78/cTZIImJZ2XVysyKhFYrnQ3i6KiGt3fZzAaJiTmEAwcnorDQIMnd3auid8/f4OzsX6r95OWl4uHD3UJeu9ZIq2v/+z3+xdFR/tlopdJZyAoK5f/ujYiIiIiIiIiIyk7FOlUljxPCo6DXyt/rib4SYW1LRCaFNK0rZPfO3JBVK/l+LDITpOeslWoVgsKqy6pnLoVCgapPiO8jNy1Ldk1Ta918PWTXs8S/P0MAcPPzKpVr/+XKjhNC1qBX61LtgYiIiIiIiIiIbCe0nvRc6e07d6y6B+PFy5xpTfbRopk40/rEqVOyat27dw/x/7p/oVqtRoP69WXVM5fexPwNZ2f554tdXFxM5jrd/84Z4y1btwpZv759yqATIiIiIiIiIiKyhTr1pPdji7hzH1ptnux6Vy/dtLYlIpOeaN5QyM6euiirVuS9h0iMT5JkarUT6tUveg5zaVq3cpOQDRnVH0qlsgy6Kdqe7QdRUFAgybr37gQHB4dS6+HfP0cA8PX3KbXrExERERERERHRf09gbelZ0cS7Wui1BUW8umTR13KsbYnIpKqN3YTs/rlsWbWSH+QhM1E621mpVqBSXdNnp20lKNQFjk4KSZYRb0BKlLzfVd0/K84mqdJI/JyIiIiIqPSV3kkCIiIionKsVbOmkscFBQU4dFwcOGuO67duISFRPERJZAttWjSHRiMdzPEgKgr3HzywuNZhE9/xti1bCPXLs/WbfheykYMHlUEnREREREREREREttGgZnPJ44LCApy7cVRWrYjom0jJSLRFW0SCRrVaQq2S7ifHJT9ETGKkxbVMfceb1G4NtZP996tbN+wiZLcfXJFVKzMnHXHJD4Xc37ti8T006GqzHiKibqCgUPqPLJSOSnh7+MmqZ6n8gnykZ6UIuZ9XhVK5PhERERERERER2V6L+qGSxwUFhThy4ZKsWjfu3UdCapoNuiIStWoQBo3aSZI9jE9AZGycxbVMfcfbNGwAjVottz2z+Hp6CllqRqbsesnpGWZf5y/VgiqhSqB0T1enN+DU1esWX//U1evQG6QDU6oHV0LVSkXvm/t6epjMU6z4HFJMfA7FfQZERERERERERFR++ftLZ4MYjQWIi5c3GyQt7Ra0Ws4GIfsICGgOR0fpWejs7ChkZVk+GyQ+TvyOVwhoAaWy9GeDxMefwr4DT6OgQCfJXV2D0Lvnb3B1Lf7ctD3cvbcJhYV6SebsHIDgYPGMtqXUam+TuU4n//ddeXmpQqZR88aORERERERERESPo5Dm9SSPCwsKEX7ssqxasTcjkZnIc9ZkH9VbhkGlkZ6zTn2YgORIy89Z3zHxHa/Rqr5Q3x7qdWkqZFFX7sqqlZuejdSoBCH3CvSVVc9Sd09dE69dsXSuDQAF+QW4sPmIJFM6qdCkf/tS64GIiIiIiIiIiGyrZYsWkscFBQU4dPhIEa8u3vUbN5CQIO6fEdlCm9atxXswPniI+/fvW1zr0BHxO96uTRu734PRz0/cz01JFc8Imys5Odlk7utret/Yw90Dnp6eVv1RKBRCXVdXV+F1zs6lc2Z9/caNQjZy+PBSuTYREREREREREdle05aNJY8LCgpw/PBpWbVuXQ9HUoLpPTQiazVv/QQ0Gum86agHMXhwP8riWsePnBGylm2bCvXLwo2rt3H5gnh+edT4IWXQTfF+37BNyAaN6FeqPZw+cV7IAisGlGoPRERERERERET03xLyhJvkcWEBEHFS3v3Y4m7nIivJUPILiWSo1swdKo30nHFqtA4pD/MsrhVu4jtevbkHVBoH2f2Zw8nZEdWauov9nLD871zygzykxUrnXjs5OyDERH0iIiIiKn3Ksm6AiIiIqDxo16oVvlz2gyRbtX4Denez/OZtK9dtsFVbZIEDf/xe1i2UCo1Gg24dO2Db7j2SfOW6DXj31TkW1TL1XX2yV0+r+itNKampWLVBOmTD08MDY4YOLaOOiIiIiIiIiIiIrPdEnTZYt/sbSbb16Fq0a9zD4lp/HFltq7bIAsvf3FnWLZQKtZMGrRp0xuEL0ve75cgaTB3yhkW1/jiyRsg6PtHHqv7M1blpP3y+9k1JdvHOSeQX5EPpaNmxmvM3j8FoNEqyAO9KCA6oVnwPzfphw95lkuzsjaMWXfsv526K6+rXaAYnVekMbbl05xQKjYWSTKN2gbeHX6lcn4iIiIiIiIiIbK9t4wb4euNvkmz1jl3o2aalxbVWbd9lq7bIAnu+WVzWLZQKjVqNrs2bYfuxE5J81fZdeGvSBItqmfqu9m3f1qr+zOHv4yVkF27dll3v/M1bQubt4Q6Vsvj9777t2+KbXzZJslXbd6Fj0yYWXd/k59iu+M/RSaWCl7sb0rOyJfnFW7dRsV0bi67/l3MmPgd/b29ZtYiIiIiIiIiIqGwFBrbCjZvfS7LwiA2oHGz5bJDwiPW2aoss0Lf35rJuoVQolRoEVeqIh1G7JXl4xHo80WSuRbXumPiuVqnSy6r+5EhKuoA9+0YhPz9Xkjs7B6B3z9/g7l6l1HsCgPDwdUJWs8ZQODhYP2LR0dEJTk6e0OszJHlyymVUcbH833gAQHLyRSHTOPOsNRERERERERHR46hm6wY49K10HvKptXsQ1r2FxbVOrdld8ovI5l7cvqisWygVKo0T6nZuiqs7T0ryU2v3oN/r4y2qdWrtHiFr2EfeGV9LNerbFr+/JZ3NcffUNRTkF8BR6WhRrfDjl4X5IF6V/OBXrZLVfZZEn5uHG/vOCnnNNg3sfu2/nNmwD9nJ6ZKs+bAucPHmTSWJiIiIiIiIiB5X7du1xZdffSXJfl69Gr1l3I9uxc+rbNUWWeDg3r1l3UKp0Gg06N61K7Zu3y7JV6xahffeftuiWitXid/VJ/v1s6o/c/j7BwjZhQviGWFznT13Xsi8vb2hUqlMvv7y+XOyr/WXarVr48GDh5Js6++b0KljR6trW+rQ4cO4eOmSJOvcqSPCQkNLvRciIiIiIiIiIrKNVm2b4fulP0uyDat+R7delu8/rV+1qeQXkc1t2fe/cf9LjUaNjl3bYvf2A5J8/c+bMPedmRbVWv+z+F3t2c/yeTj2sO7n34SsSbMGqBtWqwy6KdrdO/exd+chSVatZlV07dmh1HqIi4nHhTNXhLx1++al1gMREREREREREf33VG/hgcPL4yXZmV+SENrF8nuond6YaKu2yAIzfg0r6xZKhUrjgDrtvXBtb5okP70xCX1eqWxRrTMmvqsNepTOfQPrd/dGxMlMSXZ6YyJaDRfPgRfH1N+3up28oFI7WNUfEREREdkG/6uMiIiICEDfHt3h6+MjyX7bug2Xrl6zqE5UTAy+W7HChp0RicYMGypkK9aug16vN7vG9Vu3cOzUKUmmVCoxbMBTVvdXWt788GOkpkk34qdNmgh3d7cy6oiIiIiIiIiIiMh6HZr0gpebdL9635nNuBUp/uP94sSnROOXfctt2RqRoG+7kUK25fAqGPLN36+OiL6JC7dPSDKloxI9Ww+2uj9zVAmsgca1W0mytMxk7D/7h8W1fj3wk5C1qF/ykKAWoR0R6BssyW4/uIKrdy0bnm00GvGbqR7COllUxxqbD/8sZK0bdIGjg2U3xyQiIiIiIiIiovKjT9vW8PX0kGS/HzyMy3fCLaoTlZCI7zdtsWVrRIKRvXsI2cqtO6A3GMyucePefRy/JP29jNLREUO6dba6v5K0CBNvNnjgzHlkZGfLqvfbvkNC1jy0XonrRpn4HDftP4SUjAyzr52SkYHfDxwW8pG9upe41tTnsMlELXOkZmTi4Fnx5pbNw0r+HIiIiIiIiIiIqPypHNwdarX0rHVk5FakpFy1qE52dgxu3lphw86IRDVriLNB7txZh4IC889ap6XdQkKCdDaIQqFE9WqlOxskJfUadu0ZAYNBul+tUfuid6/f4OlZvVT7+Utq6nWkpIp//2vXEs+5yxXg31TI7t+3/Kw5AOh0aYiNPSJew0+8BhERERERERERlX8NerWCq4/0nPXFLUcQdSXCojqp0Yk4+uNWW7ZGJGg5vJuQnVi9C/l6889Zx96MRMQJ6Z6sg9IRTQd1srY9swTUCEKNVtKbYGYnp+PSH0ctrnXsp+1CVqdjE9m9WeLA15uQk5op5KHdmpfK9bUZ2dj8zveSzEHpiB6zRpTK9YmIiIiIiIiIyD769ekDX19fSfbrpk24dPmyRXWioqLw7bJltmyNSDBm9Cgh+2nlSsvuwXjjBo4eOy7JlEolhg8dYnV/JWnVsoWQ7d2/HxkWzOT4p19++1XIWjYvnT3jspafn4/ps14U8tfnzi2DboiIiIiIiIiIyFZ69O0MH18vSbZ1025cvXTDojoxUXH46bt1NuyMSDR0tDi/Y+3K3yzas751PRynjknvN6hUKjFgaB+r+7NWfn4+flsn/nuFkeNL5x6Rlnj1xQ+g/9f59hmzJ8PBwaHUeljw4VLk5+dLMlc3V7Rsy7kgREREREREREQkX/1u3nD1VkqyS9tTEH0tx6I6aTE6HPs5wZatEQmaD/YXslPrE5GvLzS7RtztXNw9nSXJHJQKNOnvW8QK22o6wA8OjtLs7qksxN3JNbtGvr4QpzckCXnzQX7WtkdERERENlJ6pwmIiIiIyjGNRoNxI4ZLsoKCAkyaMQtZWdlFrJLS6/WYNPNF5OSYv4FGJMeAvn1QOShIkkXHxuLjRV+Ytd5oNGL6nNeEfMSggagQEGCLFu1uzcZfsXz1GkkWVLEi5s6YXkYdERERERERERER2YbaSYP+HUZLsoLCArz7/VTkaLOKWCVlyNfj3WXToNVZdsiayFJdmj2JQN9gSZaQGoPvNy8wa73RaMQnK14S8l6th8LXs/T2q8f1EfeWl258D9o88/8OHbu0B8cv7xHygR3HlbjWwcEBo3tPE/KFq15FYaH5h89/2b8c92JuSTKloxL9O4hDzO3h5NUD2H5svZB3bda/VK5PRERERERERET2oVGrMaZvL0lWUFCI5z+cjywzz03rDQZM+Wg+crR59miR6JGnOrZDcAXp/nJMYhI+XbHarPVGoxGzFnwh5MN6dEUFXx9btFisri2aCQOkM3NyMO+nVRbXOn/zFn7Zd0DIu7Uq+aaOzULrokX9UEmm1ekwd/HXZl9/zhdfQavTSbK2jRuiSd3aJa7t3lq8ueX63XtxJTzC7Ov/5aPlK5Gdq5VkDg4O6NKCQ7KJiIiIiIiIiB5HSqUGtWpKZ4MYjQU4emwW9AbzZoMUFOhx9Pgs5OdzNgjZV9WqfeDqKp0NkpMbi8tXPjdrvdFoxIlTrwp5jeoD4excemet09PDsWv3MOj16ZLcyckLvXpuhLdXnVLr5d/uhItnl/39m8LLq+S9aHMFBXURsrv3fkNK6jWLa124uBCGfOkZdYXCAZUqdZDdHxERERERERERlR2VxgmtRvWUZIUFhVg9bSHysszbg87XG7D6hc+gy+E5a7KvRk+2g3ew9KaK6TFJ2LVwrVnrjUYjNryyRMibDekMjwBvm/Rojq4vDBWyP97/EbocrYlXm3Z97xlc33tGyNuM7W1Vb+aIOHkVO+aLZ8PrdWkKr4r2v6ljvt6AnyZ9gqykdEnecdJTqFCrst2vT0RERERERERE9qPRaDB+7FhJVlBQgImTn0NWlnkzrfV6PZ597nnk5HCmNdnXwKeeQuXK0pnW0dEx+GjePLPWG41GvDBzppCPHD4MFSpUsEmPxenetas4GyQzEx9+Yl7//3Tu/Hms3/iLkPfo3l12f48Lo9GIaTNm4vqNG5L8qSefRNcu4hluIiIiIiIiIiJ6fGg0aowYN0iSFRQUYObk15GdZd5sEL1ej1nPvY5cM+dfE8nVd0B3BFWuKMlio+Px+SffmLXeaDRi7sz3hHzQ8L4IqGD/88El2bvjEJISUySZRqPGoOH9yqgj0xZ98g0O7T0myRo2CcOo8YNLrYfNv+zA6h/FPfvBI/rBycmp1PogIiIiIiIiIqL/HpXGAS2HSec9FBYAa1++i7zsArNq5OsLsfaVu9DnFtqjRaJHGvb2gXcl6Z5oepwee5bEmLXeaDTilzfuC3nTp3zh4V86e62eFZzQuJ+vkP/y+n0YjUazauxeHI30OL0k862iRoOe9r+XJRERERGZx6HklxARERH9b3jlhanw8ZYOB7549Sr6jhiJmLi4Ytempadj2ISJ2HfosD1bJAIAKJVKvPHyi0L+6eIl2GvGd/D9+Qtx5MQJSaZSqfDai7PM7uHQseNQ+lUQ/kQ+fGh2jdvhEdDr9SW/8F9++HkVnpk+A4WFf/+yR6FQ4PslX8DV1dXiekREREREREREROXN+H6z4Okm3a++FXkZ0+YPQkJqbLFrM3PS8MriMTh17YA9WyQCACgdlZg0YI6Q//jHZzh5teTv4LebPsH5m9IBGUpHFZ596hWzezh74ygaj3YX/sQkPTC7RudmTyKselNJFpVwD69/8ywM+SXvY0dE3cDb3z0v5M3qtUfTeu3M6mFIl2dQ0Vd688PL4acxf9Ucsw5un71xFIvWviHkfdoOR3BAtWLXrtj2Bdbu+gZ5evNvYPlvh85vx4ufjxR6rR5UF73aiDfMJCIiIiIiIiKix8uLo0fAx8NDkl26E46nXpyDmMSkYtemZWZh1GvvYP+Zc/ZskQjAn+esX5swTsgXrFyD/adL/g5+9MMKHL14WZKplErMfXqM2T0cOX8Rzq06CX8exBb/bxIAwMfTA4O6dBTyxWs3YuXWHWb3cDcqGsPmvCk5bw0Abi7OGNa9q1k13p70jJCt2bEbq7btLHHtqm07sXbnHiF/a9IEs649vEc3uLu4SLKCgkIMnf2GWZ/jX5b9tgVfb/xNyAd07gBfT0+z6xARERERERERUfnSsME0qNXSs9YpqVexZ88I5OQUv3+k06XjwMGJiI3lbBCyPwcHJRo3eknIL19ZgpiYQyWuv3hpAeLjpbNBHBxUaNRInDdSlLi441j+U4DwJyvLvNkgWVkPsHP3EOTlJUtylcodvXpsgK9vA7N7sbXCQgPu3hP3gGvXGmnT69SoMQgqlZskMxoLsG//eLM/RwC4eesn3Lj5vZCHVO0HjYaDuomIiIiIiIiIHlfdZw6Dq7e7JIu6EoGvhryG9NjkIlb9KTctC9+Pex+3Dp63Z4tEAABHpSN6zxbPRO9etA43D5T8Hdw+72eEH7siralSovcro83u4c7RS5jq2U34k/Ig3uwajfq1RdUn6kiypPuxWDF5HvL1hhLXx964j5+nzBfyWu0boVbbhsWuPblmN7Z++BOyUzPM7vefru89g29HvI18nbRPhUKBAe9NsqhWzPV7Fl8/Nz0b3497H9d2n5bkATWD0f8t8855ExERERERERFR+Tb7pRfh4yM9k3jx0iX06d8fMTExxa5NS0vD0BEjsXf/fnu2SATgz9kgb772mpDPm78Ae/ftK3H9ex9+iMNHjkoylUqF1+e+anYPhw4fhoNaI/yJjIwsca2Pjw+GDh4s5Iu++AI/rlhhdg8REXcxcOgwcTaImxtGDh9mdp2ydvXaNYvX5OXl4bmp0/D98uWS3M/PD19/ucRWrRERERERERERURma9tKz8PbxkmRXL93A8CefRVxM8WdH09My8MzwGTi077gdOyT6k1KpxMuvTxXyxfOXmfUdXPDBlzhx5IwkU6lUePHVKWb3cPzwafg71Rb+PIyMNrtGUdatFOdy9HmqOzy9PEy82jq3rocLe94lKSgowIIPvsQn73wuyTUaNb78YR4cHBzMqrNkwTJ8/fly5OTkWnT9v6z7eROmT5wr3IPRxcUZs9+aLqsmERERERERERHRP3WZUgkuXkpJFn0tB9+OuYn0OF2xa3PT8/Hj5Du4fUTerAMiSzgqFeg5K1jI9y6Nwa0j6SWu37koGhEnM6U1VQr0mCHWLEr4iQzMCDop/EmJyjO7Rs9ZwXBQKiRZxMlM7Pq85L33W0fSse+rWNM1HRUmVhARERFRWTDvRAERERHR/4AKAQH44uMPhfzE6TOo37od3vjwI5y/dBlarRYAoNPpcO3mTXy86HOEtmqDbbv3APjzUO2TvXqWau/0v+eZMaPRsllTSWYwGNB/5Gh8vfxH6PV6YU1KaiqmvjwbHyxYKDz38gtTUadWTbv1a8pXPyzH/7F31/FV1u8fx9/nrLs3YozuHCEdSkjZ3WJjICh2d6AodqMoIgIC0t3dMdgY6+7u+v3hT/R8z2A7S5DX8y923ffn87nOdraHXrt23W169TnzvXUuFRUV2rFnry678ho99MR0lZWVmVx/6anpGnPpiPpLFgAAAAAAAGhAXm6+evrOGWbxw6d269qn+uqT+a/qRMQhFRb/Va8uLinS6ZgT+nbJDF01vbe2HFwlSbK2staI3uMbNHdcfK4ZcZd6tOtnEistK9FjM67Xb2u/UUmpeb06MydNb37/uL7+4x2za3dNfFytmnWot3wrYzAY9NK9n8jG2tYkvmn/ct3/1gSFRB2rdF15ebkWb/5J9745VunZKSbX7O0c9fSd5g95PBsHO0c9N2mmWfy3tV9r6sybFJccWem6ktJi/bj8Yz36/rUqLDIdFOLl5qtHbni5yrOTMxL0/s9Pa9zjXfTWD1O1+/gmlZRW/SDL8vJy7TuxTU98dKumzrzZ7HyjwajnJ30kayvrs+wAAAAAAACAC4Wfl6c+eMJ8qOyuo8cVePNdevnLb3UwOEQFhX8N/SgqLlZQWLjem/2zet50h1Zs3ylJsray0sShgxs0d1x87r5yvC7p1sUkVlJaqmuefFZfLVys4hLz+mdaVpYee+9DvfX9T2bXpt12szq0DKi3fP/Xqw/eKxtr07pqRUWFHnrrfT345nuKik8469qCwiJ9ueAPDbr7QcWnpJpdf/yWG+Xn5VnJSnMj+/fVdSMvNYs/+Nb7evPb2cr7/7+r+Lfc/Hy98e1sPfiWeX38pjGjNLxPYLXO9vFw19TbbjKLRycmacBd9+u7xX+qsOjsQ4bCY+N0z6tv6fEZH5lds7ay0msP3letPAAAAAAAAHB+cnDw1YD+b5nFk5L3atHiwdp/4C2lph5RaelfNayysiKlZ5zU4SMfaeEfgxQds0aSZDBYK6DF2AbNHRefjh1uk4+P6WyQ8vISrV1/m06c/F5lZea91oWF6dqxc7oOHTafDdK92yNyd2uY2SB5+Ylatfo65eeb1qWtrR11+ehf5eNTvZpvfYmOWavCQtNauJWVg9q0vrpOz3Gw91b3buYP58zNjdGSP0cqOPgnlZaefdh3dnaENm99WDt3PWN2zWCwVp/ez9dpvgAAAAAAAGhYrr4euuH9R83iYbuD9Pol92jpa98r+tApFRf81fdYUlSs+BMRWjVjrl7tO0nHVu2SJBmtrdRj/MAGzR0Xn0F3jlPrfp1NYmUlpfrixhe05dulKi0277POTc/Sr1M/1sp3fza7NmrKjfJr36Le8q2MwWDQrbOmydrWxiR+ZPkOzbpiumKPhVW6rry8XDvmrNJH459QTkqmyTVbR3vd8O4jVZ5dkJWrVTPm6qVut+nHB97V0ZU7VVJoXuf/XwnBUZoz+X19ccMLys/MMbt+6cPXqkUPy2r/H4x5XB9e/ri2z16u7OSMc+ednaftP67Qa33vPvMz52/2ro6676eXZefkYNH5AAAAAAAAOD/5+flp1swPzeI7du5Sl5699PxLL+nAwYOmz2AMCtJb776rTt17aNmKFZL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"text/plain": [ "
" ] @@ -16423,7 +10887,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 40, "id": "73488360-5ba3-4361-aa1a-7c8764b14acd", "metadata": {}, "outputs": [ @@ -16453,22 +10917,22 @@ " color_r\n", " color_g\n", " color_b\n", - " sweet\n", - " semi-hard\n", - " whey\n", - " creamy\n", - " processed\n", + " elastic\n", + " dry\n", + " pale yellow\n", + " stringy\n", + " flaky\n", " ...\n", - " floral\n", - " pecan\n", - " nutty\n", - " brown\n", - " cream\n", - " burnt caramel\n", - " chalky\n", - " pale white\n", - " pink and white\n", - " tart\n", + " piquant\n", + " ash coated\n", + " cottage\n", + " cornish\n", + " feta\n", + " parmesan\n", + " full-flavored\n", + " supple\n", + " processed\n", + " pleasant\n", " \n", " \n", " \n", @@ -16514,7 +10978,7 @@ " False\n", " False\n", " False\n", - " True\n", + " False\n", " False\n", " False\n", " False\n", @@ -16527,11 +10991,11 @@ " 0.909804\n", " 0.784314\n", " 0.568627\n", - " False\n", " True\n", " False\n", " False\n", " False\n", + " False\n", " ...\n", " False\n", " False\n", @@ -16628,6 +11092,7 @@ " False\n", " True\n", " False\n", + " False\n", " ...\n", " False\n", " False\n", @@ -16636,7 +11101,7 @@ " False\n", " False\n", " False\n", - " False\n", + " True\n", " False\n", " False\n", " \n", @@ -16654,7 +11119,7 @@ " False\n", " ...\n", " False\n", - " False\n", + " True\n", " False\n", " False\n", " False\n", @@ -16671,13 +11136,20 @@ " 0.921569\n", " 0.847059\n", " 0.545098\n", - " True\n", + " False\n", " False\n", " False\n", " False\n", " False\n", " ...\n", - " True\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", " False\n", " False\n", " False\n", @@ -16703,14 +11175,14 @@ " ...\n", " False\n", " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", " True\n", " False\n", " False\n", - " False\n", - " False\n", - " False\n", - " False\n", - " False\n", " \n", " \n", " 1186\n", @@ -16722,12 +11194,16 @@ " True\n", " False\n", " False\n", - " False\n", " True\n", + " False\n", + " False\n", " ...\n", " False\n", " False\n", - " True\n", + " False\n", + " False\n", + " False\n", + " False\n", " False\n", " False\n", " False\n", @@ -16738,53 +11214,53 @@ " \n", " \n", "\n", - "

1140 rows × 169 columns

\n", + "

1140 rows × 168 columns

\n", "" ], "text/plain": [ - " latitude longitude color_r color_g color_b sweet semi-hard \\\n", - "0 46.798562 8.231974 0.921569 0.847059 0.545098 True False \n", - "1 47.686790 7.392763 0.921569 0.847059 0.545098 False True \n", - "2 46.603354 1.888334 0.909804 0.784314 0.568627 False True \n", - "3 47.278087 4.222486 0.972549 0.972549 0.972549 False False \n", - "4 45.494895 6.384660 0.972549 0.972549 0.972549 False False \n", - "... ... ... ... ... ... ... ... \n", - "1182 59.674971 14.520858 0.952941 0.843137 0.694118 False True \n", - "1183 -30.534367 135.630121 0.972549 0.972549 0.972549 False False \n", - "1184 54.382993 -1.984136 0.921569 0.847059 0.545098 True False \n", - "1185 46.798562 8.231974 0.000000 0.000000 0.000000 True True \n", - "1186 39.783730 -100.445882 0.952941 0.843137 0.694118 True False \n", + " latitude longitude color_r color_g color_b elastic dry \\\n", + "0 46.798562 8.231974 0.921569 0.847059 0.545098 False False \n", + "1 47.686790 7.392763 0.921569 0.847059 0.545098 False False \n", + "2 46.603354 1.888334 0.909804 0.784314 0.568627 True False \n", + "3 47.278087 4.222486 0.972549 0.972549 0.972549 False False \n", + "4 45.494895 6.384660 0.972549 0.972549 0.972549 False False \n", + "... ... ... ... ... ... ... ... \n", + "1182 59.674971 14.520858 0.952941 0.843137 0.694118 False False \n", + "1183 -30.534367 135.630121 0.972549 0.972549 0.972549 False False \n", + "1184 54.382993 -1.984136 0.921569 0.847059 0.545098 False False \n", + "1185 46.798562 8.231974 0.000000 0.000000 0.000000 False False \n", + "1186 39.783730 -100.445882 0.952941 0.843137 0.694118 False False \n", "\n", - " whey creamy processed ... floral pecan nutty brown cream \\\n", - "0 False False False ... False False False False False \n", - "1 False True False ... False False False False False \n", - "2 False False False ... False False False False False \n", - "3 False True False ... False False False False False \n", - "4 False True False ... False False True False False \n", - "... ... ... ... ... ... ... ... ... ... \n", - "1182 False True False ... False False False False False \n", - "1183 False True False ... False False False False False \n", - "1184 False False False ... True False False False False \n", - "1185 False False False ... False False True False False \n", - "1186 False False True ... False False True False False \n", + " pale yellow stringy flaky ... piquant ash coated cottage cornish \\\n", + "0 False False False ... False False False False \n", + "1 False False False ... False False False False \n", + "2 False False False ... False False False False \n", + "3 False False False ... False False False False \n", + "4 False False False ... False False False False \n", + "... ... ... ... ... ... ... ... ... \n", + "1182 True False False ... False False False False \n", + "1183 False False False ... False True False False \n", + "1184 False False False ... False False False False \n", + "1185 False False False ... False False False False \n", + "1186 True False False ... False False False False \n", "\n", - " burnt caramel chalky pale white pink and white tart \n", - "0 False False False False False \n", - "1 True False False False False \n", - "2 False False False False False \n", - "3 False False False False False \n", - "4 False False False False False \n", - "... ... ... ... ... ... \n", - "1182 False False False False False \n", - "1183 False False False False False \n", - "1184 False False False False False \n", - "1185 False False False False False \n", - "1186 False False False False False \n", + " feta parmesan full-flavored supple processed pleasant \n", + "0 False False False False False False \n", + "1 False False False False False False \n", + "2 False False False False False False \n", + "3 False False False False False False \n", + "4 False False False False False False \n", + "... ... ... ... ... ... ... \n", + "1182 False False False True False False \n", + "1183 False False False False False False \n", + "1184 False False False False False False \n", + "1185 False False False True False False \n", + "1186 False False False False True False \n", "\n", - "[1140 rows x 169 columns]" + "[1140 rows x 168 columns]" ] }, - "execution_count": 19, + "execution_count": 40, "metadata": {}, "output_type": "execute_result" } @@ -16800,7 +11276,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 41, "id": "05a6fae7-7dae-41f2-add0-86017116ea11", "metadata": {}, "outputs": [], @@ -16813,7 +11289,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 42, "id": "3a0bb4d6-dd0b-451a-b698-3cb6d0b4241d", "metadata": {}, "outputs": [ @@ -16821,10 +11297,10 @@ "name": "stdout", "output_type": "stream", "text": [ - "0.29475264248540267\n", - "0.29144565367216746\n", - "0.06917050167476352\n", - "0.03634010725646403\n" + "0.29532431752157284\n", + "0.2898301317667477\n", + "0.06917053924889166\n", + "0.036330707662109885\n" ] } ], @@ -16899,23 +11375,23 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 43, "id": "2e6b0dc1-030c-4239-803f-52736a41bcb5", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "164" + "163" ] }, - "execution_count": 24, + "execution_count": 43, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "unused_columns = {\"vegetarian\", \"vegan\", \"cheese\", \"region\", \"color\", \"location\", \"latitude\", \"longitude\", \"country\",\"color_r\",\"color_g\",\"color_b\"}\n", + "unused_columns = {\"vegetarian\", \"vegan\", \"cheese\", \"region\", \"color\", \"location\", \"latitude\", \"longitude\", \"country\", \"color_r\", \"color_g\", \"color_b\"}\n", "data_features_only=data_features.drop(columns=list(unused_columns.intersection(data_features.columns)))\n", "data_features_only.shape[1]" ] @@ -16930,7 +11406,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 62, "id": "e7113235-7546-4c71-9b34-181472466d20", "metadata": { "scrolled": true @@ -16949,1749 +11425,479 @@ " \n", " \n", " \n", - " 0\n", + " 11\n", + " 0.655263\n", + " (cow)\n", + " \n", + " \n", + " 8\n", + " 0.560526\n", + " (creamy)\n", + " \n", + " \n", + " 7\n", + " 0.541228\n", + " (artisan)\n", + " \n", + " \n", + " 61\n", + " 0.378070\n", + " (creamy, cow)\n", + " \n", + " \n", + " 10\n", + " 0.371053\n", + " (natural)\n", + " \n", + " \n", + " 50\n", + " 0.331579\n", + " (artisan, cow)\n", + " \n", + " \n", + " 27\n", + " 0.328947\n", + " (soft)\n", + " \n", + " \n", + " 47\n", + " 0.306140\n", + " (artisan, creamy)\n", + " \n", + " \n", + " 25\n", + " 0.298246\n", + " (smooth)\n", + " \n", + " \n", + " 6\n", " 0.254386\n", " (sweet)\n", " \n", " \n", + " 69\n", + " 0.250000\n", + " (natural, cow)\n", + " \n", + " \n", + " 49\n", + " 0.238596\n", + " (artisan, natural)\n", + " \n", + " \n", + " 5\n", + " 0.229825\n", + " (white)\n", + " \n", + " \n", + " 16\n", + " 0.228947\n", + " (semi-soft)\n", + " \n", + " \n", + " 68\n", + " 0.228070\n", + " (soft, creamy)\n", + " \n", + " \n", + " 0\n", + " 0.227193\n", + " (pale yellow)\n", + " \n", + " \n", + " 18\n", + " 0.224561\n", + " (goat)\n", + " \n", + " \n", + " 21\n", + " 0.221053\n", + " (firm)\n", + " \n", + " \n", + " 14\n", + " 0.203509\n", + " (buttery)\n", + " \n", + " \n", + " 13\n", + " 0.203509\n", + " (nutty)\n", + " \n", + " \n", + " 80\n", + " 0.200000\n", + " (soft, cow)\n", + " \n", + " \n", + " 22\n", + " 0.198246\n", + " (mild)\n", + " \n", + " \n", " 1\n", " 0.195614\n", " (semi-hard)\n", " \n", " \n", - " 2\n", - " 0.560526\n", - " (creamy)\n", + " 67\n", + " 0.193860\n", + " (creamy, smooth)\n", " \n", " \n", - " 3\n", - " 0.100877\n", - " (milky)\n", - " \n", - " \n", - " 4\n", - " 0.655263\n", - " (cow)\n", - " \n", - " \n", - " 5\n", - " 0.058772\n", - " (fresh soft)\n", - " \n", - " \n", - " 6\n", - " 0.221053\n", - " (firm)\n", - " \n", - " \n", - " 7\n", - " 0.052632\n", - " (compact)\n", - " \n", - " \n", - " 8\n", - " 0.078070\n", - " (Blue)\n", - " \n", - " \n", - " 9\n", - " 0.224561\n", - " (goat)\n", - " \n", - " \n", - " 10\n", - " 0.098246\n", - " (aromatic)\n", - " \n", - " \n", - " 11\n", - " 0.055263\n", - " (Brie)\n", - " \n", - " \n", - " 12\n", - " 0.198246\n", - " (mild)\n", - " \n", - " \n", - " 13\n", - " 0.108772\n", - " (washed)\n", - " \n", - " \n", - " 14\n", - " 0.088596\n", - " (earthy)\n", - " \n", - " \n", - " 15\n", - " 0.089474\n", - " (rindless)\n", - " \n", - " \n", - " 16\n", - " 0.054386\n", - " (supple)\n", - " \n", - " \n", - " 17\n", - " 0.079825\n", - " (dense)\n", - " \n", - " \n", - " 18\n", - " 0.087719\n", - " (fruity)\n", - " \n", - " \n", - " 19\n", - " 0.067544\n", - " (grassy)\n", - " \n", - " \n", - " 20\n", - " 0.203509\n", - " (buttery)\n", - " \n", - " \n", - " 21\n", - " 0.160526\n", - " (sheep)\n", - " \n", - " \n", - " 22\n", - " 0.135088\n", - " (spicy)\n", + " 86\n", + " 0.192982\n", + " (artisan, creamy, cow)\n", " \n", " \n", " 23\n", - " 0.108772\n", - " (soft-ripened)\n", - " \n", - " \n", - " 24\n", - " 0.079825\n", - " (bloomy)\n", - " \n", - " \n", - " 25\n", - " 0.328947\n", - " (soft)\n", - " \n", - " \n", - " 26\n", - " 0.097368\n", - " (salty)\n", - " \n", - " \n", - " 27\n", - " 0.298246\n", - " (smooth)\n", - " \n", - " \n", - " 28\n", - " 0.227193\n", - " (pale yellow)\n", - " \n", - " \n", - " 29\n", - " 0.135965\n", - " (tangy)\n", - " \n", - " \n", - " 30\n", - " 0.070175\n", - " (blue-veined)\n", - " \n", - " \n", - " 31\n", - " 0.126316\n", - " (fresh)\n", - " \n", - " \n", - " 32\n", - " 0.078070\n", - " (sharp)\n", - " \n", - " \n", - " 33\n", - " 0.123684\n", - " (ivory)\n", - " \n", - " \n", - " 34\n", - " 0.229825\n", - " (white)\n", - " \n", - " \n", - " 35\n", - " 0.069298\n", - " (open)\n", - " \n", - " \n", - " 36\n", - " 0.371053\n", - " (natural)\n", - " \n", - " \n", - " 37\n", - " 0.188596\n", - " (crumbly)\n", - " \n", - " \n", - " 38\n", - " 0.092982\n", - " (yellow)\n", - " \n", - " \n", - " 39\n", - " 0.055263\n", - " (herbaceous)\n", - " \n", - " \n", - " 40\n", - " 0.228947\n", - " (semi-soft)\n", - " \n", - " \n", - " 41\n", " 0.188596\n", " (hard)\n", " \n", " \n", - " 42\n", - " 0.060526\n", - " (savory)\n", - " \n", - " \n", - " 43\n", - " 0.541228\n", - " (artisan)\n", - " \n", - " \n", - " 44\n", - " 0.135088\n", - " (rich)\n", - " \n", - " \n", - " 45\n", - " 0.064912\n", - " (acidic)\n", - " \n", - " \n", - " 46\n", - " 0.075439\n", - " (Cheddar)\n", - " \n", - " \n", - " 47\n", - " 0.066667\n", - " (full-flavored)\n", - " \n", - " \n", - " 48\n", - " 0.136842\n", - " (strong)\n", - " \n", - " \n", - " 49\n", - " 0.203509\n", - " (nutty)\n", - " \n", - " \n", - " 50\n", - " 0.075439\n", - " (cream)\n", - " \n", - " \n", - " 51\n", - " 0.057018\n", - " (sweet, semi-hard)\n", - " \n", - " \n", - " 52\n", - " 0.140351\n", - " (sweet, creamy)\n", - " \n", - " \n", - " 53\n", - " 0.160526\n", - " (sweet, cow)\n", - " \n", - " \n", - " 54\n", - " 0.071053\n", - " (sweet, firm)\n", - " \n", - " \n", - " 55\n", - " 0.050877\n", - " 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firm)\n", - " \n", - " \n", - " 70\n", - " 0.062281\n", - " (semi-hard, pale yellow)\n", - " \n", - " \n", - " 71\n", - " 0.110526\n", - " (natural, semi-hard)\n", - " \n", - " \n", - " 72\n", - " 0.122807\n", - " (semi-hard, artisan)\n", - " \n", - " \n", - " 73\n", - " 0.053509\n", - " (semi-hard, nutty)\n", - " \n", - " \n", - " 74\n", - " 0.065789\n", - " (creamy, milky)\n", - " \n", - " \n", - " 75\n", - " 0.378070\n", - " (cow, creamy)\n", - " \n", - " \n", - " 76\n", - " 0.074561\n", - " (firm, creamy)\n", - " \n", - " \n", - " 77\n", - " 0.060526\n", - " (Blue, creamy)\n", - " \n", - " \n", - " 78\n", - " 0.133333\n", - " (goat, creamy)\n", + " 4\n", + " 0.188596\n", + " (crumbly)\n", " \n", " \n", " 79\n", - " 0.057018\n", - " (aromatic, creamy)\n", - " \n", - " \n", - " 80\n", - " 0.130702\n", - " (creamy, mild)\n", - " \n", - " \n", - " 81\n", - " 0.060526\n", - " (creamy, washed)\n", - " \n", - " \n", - " 82\n", - " 0.052632\n", - " (earthy, creamy)\n", - " \n", - " \n", - " 83\n", - " 0.056140\n", - " (rindless, creamy)\n", - " \n", - " \n", - " 84\n", - " 0.131579\n", - " (creamy, buttery)\n", - " \n", - " \n", - " 85\n", - " 0.067544\n", - " (sheep, creamy)\n", - " \n", - " \n", - " 86\n", - " 0.069298\n", - " (creamy, spicy)\n", - " \n", - " \n", - " 87\n", - " 0.084211\n", - " (soft-ripened, creamy)\n", - " \n", - " \n", - " 88\n", - " 0.066667\n", - " (bloomy, creamy)\n", - " \n", - " \n", - " 89\n", - " 0.228070\n", - " (soft, creamy)\n", - " \n", - " \n", - " 90\n", - " 0.193860\n", - " (smooth, creamy)\n", - " \n", - " \n", - " 91\n", - " 0.124561\n", - " (creamy, pale yellow)\n", - " \n", - " \n", - " 92\n", - " 0.065789\n", - " (tangy, creamy)\n", - " \n", - " \n", - " 93\n", - " 0.056140\n", - " (creamy, blue-veined)\n", - " \n", - " \n", - " 94\n", - " 0.091228\n", - " (fresh, creamy)\n", - " \n", - " \n", - " 95\n", - " 0.075439\n", - " (ivory, creamy)\n", - " \n", - " \n", - " 96\n", - " 0.149123\n", - " (white, creamy)\n", - " \n", - " \n", - " 97\n", - " 0.184211\n", - " (natural, creamy)\n", - " \n", - " \n", - " 98\n", - " 0.075439\n", - " (crumbly, creamy)\n", - " \n", - " \n", - " 99\n", - " 0.151754\n", - " (semi-soft, creamy)\n", - " \n", - " \n", - " 100\n", - " 0.060526\n", - " (hard, creamy)\n", - " \n", - " \n", - " 101\n", - " 0.306140\n", - " (creamy, artisan)\n", - " \n", - " \n", - " 102\n", - " 0.089474\n", - " (rich, creamy)\n", - " \n", - " \n", - " 103\n", - " 0.067544\n", - " (strong, creamy)\n", - " \n", - " \n", - " 104\n", - " 0.100000\n", - " (nutty, creamy)\n", - " \n", - " \n", - " 105\n", - " 0.057018\n", - " (cream, creamy)\n", - " \n", - " \n", - " 106\n", - " 0.064035\n", - " (cow, milky)\n", - " \n", - " \n", - " 107\n", - " 0.054386\n", - " (milky, artisan)\n", - " \n", - " \n", - " 108\n", - " 0.143860\n", - " (cow, firm)\n", - " \n", - " \n", - " 109\n", - " 0.063158\n", - " (cow, Blue)\n", - " \n", - " \n", - " 110\n", - " 0.063158\n", - " (cow, aromatic)\n", - " \n", - " \n", - " 111\n", - " 0.126316\n", - " (cow, mild)\n", - " \n", - " \n", - " 112\n", - " 0.084211\n", - " (cow, washed)\n", - " \n", - " \n", - " 113\n", - " 0.059649\n", - " (cow, earthy)\n", - " \n", - " \n", - " 114\n", - " 0.057018\n", - " (cow, rindless)\n", - " \n", - " \n", - " 115\n", - " 0.051754\n", - " (cow, dense)\n", - " \n", - " \n", - " 116\n", - " 0.070175\n", - " (cow, fruity)\n", - " \n", - " \n", - " 117\n", - " 0.163158\n", - " (cow, buttery)\n", - " \n", - " \n", - " 118\n", - " 0.103509\n", - " (cow, spicy)\n", - " \n", - " \n", - " 119\n", - " 0.075439\n", - " (cow, soft-ripened)\n", - " \n", - " \n", - " 120\n", - " 0.057895\n", - " (cow, bloomy)\n", - " \n", - " \n", - " 121\n", - " 0.200000\n", - " (cow, soft)\n", - " \n", - " \n", - " 122\n", - " 0.066667\n", - " (cow, salty)\n", - " \n", - " \n", - " 123\n", " 0.187719\n", " (cow, smooth)\n", " \n", " \n", - " 124\n", + " 60\n", + " 0.184211\n", + " (natural, creamy)\n", + " \n", + " \n", + " 31\n", " 0.178070\n", - " (cow, pale yellow)\n", + " (pale yellow, cow)\n", " \n", " \n", - " 125\n", - " 0.080702\n", - " (cow, tangy)\n", + " 58\n", + " 0.169298\n", + " (artisan, smooth)\n", " \n", " \n", - " 126\n", - " 0.057895\n", - " (cow, blue-veined)\n", + " 73\n", + " 0.163158\n", + " (buttery, cow)\n", " \n", " \n", - " 127\n", - " 0.063158\n", - " (cow, fresh)\n", + " 9\n", + " 0.160526\n", + " (sheep)\n", " \n", " \n", - " 128\n", - " 0.057895\n", - " (cow, sharp)\n", + " 46\n", + " 0.160526\n", + " (sweet, cow)\n", " \n", " \n", - " 129\n", - " 0.071930\n", - " (cow, ivory)\n", - " \n", - " \n", - " 130\n", - " 0.094737\n", - " (cow, white)\n", - " \n", - " \n", - " 131\n", - " 0.052632\n", - " (cow, open)\n", - " \n", - " \n", - " 132\n", - " 0.250000\n", - " (natural, cow)\n", - " \n", - " \n", - " 133\n", - " 0.124561\n", - " (cow, crumbly)\n", - " \n", - " \n", - " 134\n", - " 0.084211\n", - " (cow, yellow)\n", - " \n", - " \n", - " 135\n", - " 0.153509\n", - " (cow, semi-soft)\n", - " \n", - 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0.100877\n", - " (goat, soft)\n", - " \n", - " \n", - " 151\n", - " 0.071930\n", - " (smooth, goat)\n", - " \n", - " \n", - " 152\n", - " 0.104386\n", - " (goat, white)\n", - " \n", - " \n", - " 153\n", - " 0.065789\n", - " (natural, goat)\n", - " \n", - " \n", - " 154\n", - " 0.050000\n", - " (goat, semi-soft)\n", - " \n", - " \n", - " 155\n", - " 0.128070\n", - " (goat, artisan)\n", - " \n", - " \n", - " 156\n", - " 0.057895\n", - " (aromatic, artisan)\n", - " \n", - " \n", - " 157\n", - " 0.071053\n", - " (soft, mild)\n", - " \n", - " \n", - " 158\n", - " 0.069298\n", - " (smooth, mild)\n", - " \n", - " \n", - " 159\n", - " 0.058772\n", - " (white, mild)\n", - " \n", - " \n", - " 160\n", - " 0.077193\n", - " (natural, mild)\n", - " \n", - " \n", - " 161\n", - " 0.106140\n", - " (mild, artisan)\n", - " \n", - " \n", - " 162\n", - " 0.051754\n", - " (washed, artisan)\n", - " \n", - " \n", - " 163\n", - " 0.050877\n", - " (dense, artisan)\n", - " \n", - " \n", - " 164\n", - " 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0.052632\n", - " (sweet, cow, pale yellow)\n", - " \n", - " \n", - " 227\n", - " 0.065789\n", - " (sweet, cow, natural)\n", - " \n", - " \n", - " 228\n", - " 0.086842\n", - " (sweet, cow, artisan)\n", - " \n", - " \n", - " 229\n", - " 0.054386\n", - " (sweet, cow, nutty)\n", - " \n", - " \n", - " 230\n", - " 0.054386\n", - " (sweet, smooth, artisan)\n", - " \n", - " \n", - " 231\n", - " 0.071930\n", - " (sweet, natural, artisan)\n", - " \n", - " \n", - " 232\n", - " 0.050000\n", - " (sweet, nutty, artisan)\n", - " \n", - " \n", - " 233\n", - " 0.073684\n", - " (cow, semi-hard, creamy)\n", - " \n", - " \n", - " 234\n", - " 0.061404\n", - " (natural, semi-hard, creamy)\n", - " \n", - " \n", - " 235\n", - " 0.064035\n", - " (semi-hard, creamy, artisan)\n", - " \n", - " \n", - " 236\n", - " 0.052632\n", - " (cow, semi-hard, firm)\n", - " \n", - " \n", - " 237\n", - " 0.053509\n", - " (cow, semi-hard, pale yellow)\n", - " \n", - " \n", - " 238\n", - " 0.079825\n", - " (cow, semi-hard, 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(natural, creamy, pale yellow)\n", - " \n", - " \n", - " 277\n", - " 0.076316\n", - " (artisan, creamy, pale yellow)\n", - " \n", - " \n", - " 278\n", - " 0.058772\n", - " (fresh, white, creamy)\n", - " \n", - " \n", - " 279\n", - " 0.084211\n", - " (artisan, white, creamy)\n", - " \n", - " \n", - " 280\n", - " 0.050877\n", - " (natural, semi-soft, creamy)\n", - " \n", - " \n", - " 281\n", - " 0.121053\n", - " (natural, creamy, artisan)\n", - " \n", - " \n", - " 282\n", - " 0.086842\n", - " (semi-soft, creamy, artisan)\n", - " \n", - " \n", - " 283\n", - " 0.053509\n", - " (rich, creamy, artisan)\n", - " \n", - " \n", - " 284\n", - " 0.060526\n", - " (nutty, creamy, artisan)\n", - " \n", - " \n", - " 285\n", - " 0.067544\n", - " (natural, firm, cow)\n", - " \n", - " \n", - " 286\n", - " 0.077193\n", - " (cow, firm, artisan)\n", - " \n", - " \n", - " 287\n", - " 0.050000\n", - " (cow, Blue, blue-veined)\n", - " \n", - " \n", - " 288\n", - " 0.055263\n", - " (mild, cow, artisan)\n", - " 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semi-soft)\n", - " \n", - " \n", - " 302\n", - " 0.099123\n", - " (cow, smooth, artisan)\n", - " \n", - " \n", - " 303\n", - " 0.078947\n", - " (natural, cow, pale yellow)\n", - " \n", - " \n", - " 304\n", - " 0.110526\n", - " (cow, pale yellow, artisan)\n", - " \n", - " \n", - " 305\n", - " 0.069298\n", - " (natural, crumbly, cow)\n", - " \n", - " \n", - " 306\n", - " 0.050000\n", - " (natural, cow, semi-soft)\n", - " \n", - " \n", - " 307\n", - " 0.078947\n", - " (natural, cow, hard)\n", - " \n", - " \n", - " 308\n", - " 0.151754\n", - " (natural, cow, artisan)\n", - " \n", - " \n", - " 309\n", - " 0.068421\n", - " (natural, cow, nutty)\n", - " \n", - " \n", - " 310\n", - " 0.065789\n", - " (cow, crumbly, hard)\n", - " \n", - " \n", - " 311\n", - " 0.080702\n", - " (cow, crumbly, artisan)\n", - " \n", - " \n", - " 312\n", - " 0.072807\n", - " (cow, semi-soft, artisan)\n", - " \n", - " \n", - " 313\n", - " 0.082456\n", - " (cow, hard, artisan)\n", - " \n", - " \n", - " 314\n", - " 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" 327\n", - " 0.053509\n", - " (smooth, white, artisan)\n", - " \n", - " \n", - " 328\n", - " 0.073684\n", - " (natural, smooth, artisan)\n", - " \n", - " \n", - " 329\n", - " 0.074561\n", - " (natural, pale yellow, artisan)\n", - " \n", - " \n", - " 330\n", - " 0.051754\n", - " (natural, crumbly, hard)\n", - " \n", - " \n", - " 331\n", - " 0.069298\n", - " (natural, crumbly, artisan)\n", - " \n", - " \n", - " 332\n", - " 0.069298\n", - " (natural, hard, artisan)\n", - " \n", - " \n", - " 333\n", - " 0.064912\n", - " (natural, nutty, artisan)\n", - " \n", - " \n", - " 334\n", - " 0.050000\n", - " (sweet, cow, creamy, artisan)\n", - " \n", - " \n", - " 335\n", - " 0.050000\n", - " (cow, semi-hard, natural, creamy)\n", - " \n", - " \n", - " 336\n", - " 0.050877\n", - " (cow, semi-hard, natural, artisan)\n", - " \n", - " \n", - " 337\n", - " 0.056140\n", - " (cow, soft, creamy, buttery)\n", - " \n", - " \n", - " 338\n", - " 0.055263\n", - " (cow, artisan, creamy, buttery)\n", - " \n", - " \n", - " 339\n", - " 0.057018\n", - " (cow, soft, soft-ripened, creamy)\n", - " \n", - " \n", - " 340\n", - " 0.057895\n", - " (cow, smooth, soft, creamy)\n", - " \n", - " \n", - " 341\n", - " 0.059649\n", - " (cow, soft, creamy, artisan)\n", - " \n", - " \n", - " 342\n", - " 0.070175\n", - " (cow, smooth, creamy, artisan)\n", - " \n", - " \n", - " 343\n", - " 0.059649\n", - " (cow, artisan, creamy, pale yellow)\n", - " \n", - " \n", - " 344\n", - " 0.085088\n", - " (natural, cow, creamy, artisan)\n", - " \n", - " \n", - " 345\n", - " 0.054386\n", - " (cow, semi-soft, creamy, artisan)\n", - " \n", - " \n", - " 346\n", - " 0.054386\n", - " (natural, cow, pale yellow, artisan)\n", - " \n", - " \n", - " 347\n", - " 0.054386\n", - " (natural, cow, hard, artisan)\n", - " \n", - " \n", - " 348\n", - " 0.050000\n", - " (natural, cow, nutty, artisan)\n", + " 84\n", + " 0.100000\n", + " (pale yellow, cow, creamy)\n", " \n", " \n", "" @@ -18706,16 +11912,15 @@ ], "source": [ "frequent_itemsets=apriori(data_features_only,min_support=.05, use_colnames=True)\n", - "display(HTML(frequent_itemsets.to_html()))" + "frequent_itemsets=frequent_itemsets.sort_values(by=['support'], ascending=False)\n", + "frequent_itemsets" ] }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 66, "id": "61959c04-61bf-464a-89ca-72ec4782f927", - "metadata": { - "scrolled": true - }, + "metadata": {}, "outputs": [ { "data": { @@ -18742,1095 +11947,24 @@ " \n", " \n", " \n", - " 0\n", - " (sweet)\n", - " (creamy)\n", - " 0.254386\n", - " 0.560526\n", - " 0.140351\n", - " 0.551724\n", - " 0.984297\n", - " 1.0\n", - " -0.002239\n", - " 0.980364\n", - " -0.020949\n", - " 0.208062\n", - " -0.020029\n", - " 0.401058\n", - " \n", - " \n", - " 1\n", - " (sweet)\n", + " 59\n", + " (buttery, creamy)\n", " (cow)\n", - " 0.254386\n", - " 0.655263\n", - " 0.160526\n", - " 0.631034\n", - " 0.963025\n", - " 1.0\n", - " -0.006163\n", - " 0.934333\n", - " -0.048973\n", - " 0.214286\n", - " -0.070282\n", - " 0.438007\n", - " \n", - " \n", - " 2\n", - " (sweet)\n", - " (artisan)\n", - " 0.254386\n", - " 0.541228\n", - " 0.151754\n", - " 0.596552\n", - " 1.102219\n", - " 1.0\n", - " 0.014074\n", - " 1.137127\n", - " 0.124379\n", - " 0.235695\n", - " 0.120591\n", - " 0.438470\n", - " \n", - " \n", - " 3\n", - " (semi-hard)\n", - " (cow)\n", - " 0.195614\n", - " 0.655263\n", - " 0.143860\n", - " 0.735426\n", - " 1.122337\n", - " 1.0\n", - " 0.015681\n", - " 1.302988\n", - " 0.135509\n", - " 0.203474\n", - " 0.232533\n", - " 0.477485\n", - " \n", - " \n", - " 4\n", - " (semi-hard)\n", - " (natural)\n", - " 0.195614\n", - " 0.371053\n", - " 0.110526\n", - " 0.565022\n", - " 1.522755\n", - " 1.0\n", - " 0.037943\n", - " 1.445931\n", - " 0.426780\n", - " 0.242308\n", - " 0.308404\n", - " 0.431447\n", - " \n", - " \n", - " 5\n", - " (semi-hard)\n", - " (artisan)\n", - " 0.195614\n", - " 0.541228\n", - " 0.122807\n", - " 0.627803\n", - " 1.159960\n", - " 1.0\n", - " 0.016935\n", - " 1.232604\n", - " 0.171436\n", - " 0.200000\n", - " 0.188709\n", - " 0.427354\n", - " \n", - " \n", - " 6\n", - " (milky)\n", - " (creamy)\n", - " 0.100877\n", - " 0.560526\n", - " 0.065789\n", - " 0.652174\n", - " 1.163503\n", - " 1.0\n", - " 0.009245\n", - " 1.263487\n", - " 0.156293\n", - " 0.110457\n", - " 0.208539\n", - " 0.384772\n", - " \n", - " \n", - " 7\n", - " (cow)\n", - " (creamy)\n", - " 0.655263\n", - " 0.560526\n", - " 0.378070\n", - " 0.576975\n", - " 1.029344\n", - " 1.0\n", - " 0.010778\n", - " 1.038882\n", - " 0.082694\n", - " 0.451309\n", - " 0.037427\n", - " 0.625733\n", - " \n", - " \n", - " 8\n", - " (creamy)\n", - " (cow)\n", - " 0.560526\n", - " 0.655263\n", - " 0.378070\n", - " 0.674491\n", - " 1.029344\n", - " 1.0\n", - " 0.010778\n", - " 1.059071\n", - " 0.064868\n", - " 0.451309\n", - " 0.055777\n", - " 0.625733\n", - " \n", - " \n", - " 9\n", - " (Blue)\n", - " (creamy)\n", - " 0.078070\n", - " 0.560526\n", - " 0.060526\n", - " 0.775281\n", - " 1.383130\n", - " 1.0\n", - " 0.016766\n", - " 1.955658\n", - " 0.300459\n", - " 0.104704\n", - " 0.488663\n", - " 0.441631\n", - " \n", - " \n", - " 10\n", - " (goat)\n", - " (creamy)\n", - " 0.224561\n", - " 0.560526\n", - " 0.133333\n", - " 0.593750\n", - " 1.059272\n", - " 1.0\n", - " 0.007461\n", - " 1.081781\n", - " 0.072160\n", - " 0.204576\n", - " 0.075599\n", - " 0.415811\n", - " \n", - " \n", - " 11\n", - " (aromatic)\n", - " (creamy)\n", - " 0.098246\n", - " 0.560526\n", - " 0.057018\n", - " 0.580357\n", - " 1.035379\n", - " 1.0\n", - " 0.001948\n", - " 1.047256\n", - " 0.037893\n", - " 0.094752\n", - " 0.045124\n", - " 0.341039\n", - " \n", - " \n", - " 12\n", - " (mild)\n", - " (creamy)\n", - " 0.198246\n", - " 0.560526\n", - " 0.130702\n", - " 0.659292\n", - " 1.176202\n", - " 1.0\n", - " 0.019580\n", - " 1.289884\n", - " 0.186847\n", - " 0.208101\n", - " 0.224736\n", - " 0.446234\n", - " \n", - " \n", - " 13\n", - " (washed)\n", - " (creamy)\n", - " 0.108772\n", - " 0.560526\n", - " 0.060526\n", - " 0.556452\n", - " 0.992731\n", - " 1.0\n", - " -0.000443\n", - " 0.990813\n", - " -0.008149\n", - " 0.099424\n", - " -0.009272\n", - " 0.332216\n", - " \n", - " \n", - " 14\n", - " (earthy)\n", - " (creamy)\n", - " 0.088596\n", - " 0.560526\n", - " 0.052632\n", - " 0.594059\n", - " 1.059824\n", - " 1.0\n", - " 0.002971\n", - " 1.082606\n", - " 0.061935\n", - " 0.088235\n", - " 0.076303\n", - " 0.343978\n", - " \n", - " \n", - " 15\n", - " (rindless)\n", - " (creamy)\n", - " 0.089474\n", - " 0.560526\n", - " 0.056140\n", - " 0.627451\n", - " 1.119396\n", - " 1.0\n", - " 0.005988\n", - " 1.179640\n", - " 0.117142\n", - " 0.094535\n", - " 0.152284\n", - " 0.363804\n", - " \n", - " \n", - " 16\n", - " (buttery)\n", - " (creamy)\n", - " 0.203509\n", - " 0.560526\n", " 0.131579\n", - " 0.646552\n", - " 1.153473\n", - " 1.0\n", - " 0.017507\n", - " 1.243389\n", - " 0.167048\n", - " 0.208044\n", - " 0.195746\n", - " 0.440647\n", - " \n", - " \n", - " 17\n", - " (spicy)\n", - " (creamy)\n", - " 0.135088\n", - " 0.560526\n", - " 0.069298\n", - " 0.512987\n", - " 0.915188\n", - " 1.0\n", - " -0.006422\n", - " 0.902386\n", - " -0.096776\n", - " 0.110644\n", - " -0.108173\n", - " 0.318309\n", - " \n", - " \n", - " 18\n", - " (soft-ripened)\n", - " (creamy)\n", - " 0.108772\n", - " 0.560526\n", - " 0.084211\n", - " 0.774194\n", - " 1.381190\n", - " 1.0\n", - " 0.023241\n", - " 1.946241\n", - " 0.309670\n", - " 0.143928\n", - " 0.486189\n", - " 0.462214\n", - " \n", - " \n", - " 19\n", - " (bloomy)\n", - " (creamy)\n", - " 0.079825\n", - " 0.560526\n", - " 0.066667\n", - " 0.835165\n", - " 1.489965\n", - " 1.0\n", - " 0.021923\n", - " 2.666140\n", - " 0.357370\n", - " 0.116208\n", - " 0.624926\n", - " 0.477050\n", - " \n", - " \n", - " 20\n", - " (soft)\n", - " (creamy)\n", - " 0.328947\n", - " 0.560526\n", - " 0.228070\n", - " 0.693333\n", - " 1.236933\n", - " 1.0\n", - " 0.043687\n", - " 1.433066\n", - " 0.285445\n", - " 0.344828\n", - " 0.302196\n", - " 0.550110\n", - " \n", - " \n", - " 21\n", - " (smooth)\n", - " (creamy)\n", - " 0.298246\n", - " 0.560526\n", - " 0.193860\n", - " 0.650000\n", - " 1.159624\n", - " 1.0\n", - " 0.026685\n", - " 1.255639\n", - " 0.196154\n", - " 0.291557\n", - " 0.203593\n", - " 0.497926\n", - " \n", - " \n", - " 22\n", - " (pale yellow)\n", - " (creamy)\n", - " 0.227193\n", - " 0.560526\n", - " 0.124561\n", - " 0.548263\n", - " 0.978121\n", - " 1.0\n", - " -0.002786\n", - " 0.972852\n", - " -0.028130\n", - " 0.187831\n", - " -0.027906\n", - " 0.385242\n", - " \n", - " \n", - " 23\n", - " (blue-veined)\n", - " (creamy)\n", - " 0.070175\n", - " 0.560526\n", - " 0.056140\n", - " 0.800000\n", - " 1.427230\n", - " 1.0\n", - " 0.016805\n", - " 2.197368\n", - " 0.321934\n", - " 0.097710\n", - " 0.544910\n", - " 0.450078\n", - " \n", - " \n", - " 24\n", - " (fresh)\n", - " (creamy)\n", - " 0.126316\n", - " 0.560526\n", - " 0.091228\n", - " 0.722222\n", - " 1.288472\n", - " 1.0\n", - " 0.020425\n", - " 1.582105\n", - " 0.256256\n", - " 0.153166\n", - " 0.367931\n", - " 0.442488\n", - " \n", - " \n", - " 25\n", - " (ivory)\n", - " (creamy)\n", - " 0.123684\n", - " 0.560526\n", - " 0.075439\n", - " 0.609929\n", - " 1.088136\n", - " 1.0\n", - " 0.006110\n", - " 1.126651\n", - " 0.092430\n", - " 0.123919\n", - " 0.112413\n", - " 0.372257\n", - " \n", - " \n", - " 26\n", - " (white)\n", - " (creamy)\n", - " 0.229825\n", - " 0.560526\n", - " 0.149123\n", - " 0.648855\n", - " 1.157582\n", - " 1.0\n", - " 0.020300\n", - " 1.251545\n", - " 0.176752\n", - " 0.232558\n", - " 0.200987\n", - " 0.457448\n", - " \n", - " \n", - " 27\n", - " (semi-soft)\n", - " (creamy)\n", - " 0.228947\n", - " 0.560526\n", - " 0.151754\n", - " 0.662835\n", - " 1.182523\n", - " 1.0\n", - " 0.023423\n", - " 1.303439\n", - " 0.200181\n", - " 0.237964\n", - " 0.232799\n", - " 0.466785\n", - " \n", - " \n", - " 28\n", - " (creamy)\n", - " (artisan)\n", - " 0.560526\n", - " 0.541228\n", - " 0.306140\n", - " 0.546166\n", - " 1.009123\n", - " 1.0\n", - " 0.002768\n", - " 1.010880\n", - " 0.020572\n", - " 0.384785\n", - " 0.010763\n", - " 0.555903\n", - " \n", - " \n", - " 29\n", - " (artisan)\n", - " (creamy)\n", - " 0.541228\n", - " 0.560526\n", - " 0.306140\n", - " 0.565640\n", - " 1.009123\n", - " 1.0\n", - " 0.002768\n", - " 1.011773\n", - " 0.019707\n", - " 0.384785\n", - " 0.011636\n", - " 0.555903\n", - " \n", - " \n", - " 30\n", - " (rich)\n", - " (creamy)\n", - " 0.135088\n", - " 0.560526\n", - " 0.089474\n", - " 0.662338\n", - " 1.181635\n", - " 1.0\n", - " 0.013753\n", - " 1.301518\n", - " 0.177723\n", - " 0.147612\n", - " 0.231667\n", - " 0.410981\n", - " \n", - " \n", - " 31\n", - " (cream)\n", - " (creamy)\n", - " 0.075439\n", - " 0.560526\n", - " 0.057018\n", - " 0.755814\n", - " 1.348400\n", - " 1.0\n", - " 0.014732\n", - " 1.799749\n", - " 0.279463\n", - " 0.098485\n", - " 0.444367\n", - " 0.428768\n", - " \n", - " \n", - " 32\n", - " (milky)\n", - " (cow)\n", - " 0.100877\n", " 0.655263\n", - " 0.064035\n", - " 0.634783\n", - " 0.968745\n", + " 0.107895\n", + " 0.820000\n", + " 1.251406\n", " 1.0\n", - " -0.002066\n", - " 0.943922\n", - " -0.034641\n", - " 0.092522\n", - " -0.059409\n", - " 0.366253\n", - " \n", - " \n", - " 33\n", - " (milky)\n", - " (artisan)\n", - " 0.100877\n", - " 0.541228\n", - " 0.054386\n", - " 0.539130\n", - " 0.996124\n", - " 1.0\n", - " -0.000212\n", - " 0.995449\n", - " -0.004309\n", - " 0.092537\n", - " -0.004572\n", - " 0.319808\n", - " \n", - " \n", - " 34\n", - " (firm)\n", - " (cow)\n", - " 0.221053\n", - " 0.655263\n", - " 0.143860\n", - " 0.650794\n", - " 0.993179\n", - " 1.0\n", - " -0.000988\n", - " 0.987201\n", - " -0.008740\n", - " 0.196407\n", - " -0.012965\n", - " 0.435169\n", - " \n", - " \n", - " 35\n", - " (Blue)\n", - " (cow)\n", - " 0.078070\n", - " 0.655263\n", - " 0.063158\n", - " 0.808989\n", - " 1.234601\n", - " 1.0\n", - " 0.012001\n", - " 1.804799\n", - " 0.206113\n", - " 0.094241\n", - " 0.445922\n", - " 0.452687\n", - " \n", - " \n", - " 36\n", - " (aromatic)\n", - " (cow)\n", - " 0.098246\n", - " 0.655263\n", - " 0.063158\n", - " 0.642857\n", - " 0.981067\n", - " 1.0\n", - " -0.001219\n", - " 0.965263\n", - " -0.020952\n", - " 0.091487\n", - " -0.035987\n", - " 0.369621\n", - " \n", - " \n", - " 37\n", - " (mild)\n", - " (cow)\n", - " 0.198246\n", - " 0.655263\n", - " 0.126316\n", - " 0.637168\n", - " 0.972385\n", - " 1.0\n", - " -0.003587\n", - " 0.950128\n", - " -0.034209\n", - " 0.173703\n", - " -0.052489\n", - " 0.414970\n", - " \n", - " \n", - " 38\n", - " (washed)\n", - " (cow)\n", - " 0.108772\n", - " 0.655263\n", - " 0.084211\n", - " 0.774194\n", - " 1.181500\n", - " 1.0\n", - " 0.012936\n", - " 1.526692\n", - " 0.172367\n", - " 0.123871\n", - " 0.344989\n", - " 0.451354\n", - " \n", - " \n", - " 39\n", - " (earthy)\n", - " (cow)\n", - " 0.088596\n", - " 0.655263\n", - " 0.059649\n", - " 0.673267\n", - " 1.027476\n", - " 1.0\n", - " 0.001595\n", - " 1.055104\n", - " 0.029341\n", - " 0.087179\n", - " 0.052226\n", - " 0.382149\n", - " \n", - " \n", - " 40\n", - " (rindless)\n", - " (cow)\n", - " 0.089474\n", - " 0.655263\n", - " 0.057018\n", - " 0.637255\n", - " 0.972518\n", - " 1.0\n", - " -0.001611\n", - " 0.950356\n", - " -0.030102\n", - " 0.082908\n", - " -0.052238\n", - " 0.362135\n", - " \n", - " \n", - " 41\n", - " (dense)\n", - " (cow)\n", - " 0.079825\n", - " 0.655263\n", - " 0.051754\n", - " 0.648352\n", - " 0.989452\n", - " 1.0\n", - " -0.000552\n", - " 0.980345\n", - " -0.011452\n", - " 0.075738\n", - " -0.020049\n", - " 0.363667\n", - " \n", - " \n", - " 42\n", - " (fruity)\n", - " (cow)\n", - " 0.087719\n", - " 0.655263\n", - " 0.070175\n", - " 0.800000\n", - " 1.220884\n", - " 1.0\n", - " 0.012696\n", - " 1.723684\n", - " 0.198317\n", - " 0.104302\n", - " 0.419847\n", - " 0.453548\n", - " \n", - " \n", - " 43\n", - " (buttery)\n", - " (cow)\n", - " 0.203509\n", - " 0.655263\n", - " 0.163158\n", - " 0.801724\n", - " 1.223515\n", - " 1.0\n", - " 0.029806\n", - " 1.738673\n", - " 0.229359\n", - " 0.234552\n", - " 0.424849\n", - " 0.525360\n", - " \n", - " \n", - " 44\n", - " (spicy)\n", - " (cow)\n", - " 0.135088\n", - " 0.655263\n", - " 0.103509\n", - " 0.766234\n", - " 1.169353\n", - " 1.0\n", - " 0.014991\n", - " 1.474708\n", - " 0.167446\n", - " 0.150702\n", - " 0.321899\n", - " 0.462099\n", - " \n", - " \n", - " 45\n", - " (soft-ripened)\n", - " (cow)\n", - " 0.108772\n", - " 0.655263\n", - " 0.075439\n", - " 0.693548\n", - " 1.058427\n", - " 1.0\n", - " 0.004164\n", - " 1.124931\n", - " 0.061939\n", - " 0.109554\n", - " 0.111056\n", - " 0.404338\n", - " \n", - " \n", - " 46\n", - " (bloomy)\n", - " (cow)\n", - " 0.079825\n", - " 0.655263\n", - " 0.057895\n", - " 0.725275\n", - " 1.106845\n", - " 1.0\n", - " 0.005589\n", - " 1.254842\n", - " 0.104905\n", - " 0.085492\n", - " 0.203087\n", - " 0.406814\n", - " \n", - " \n", - " 47\n", - " (soft)\n", - " (cow)\n", - " 0.328947\n", - " 0.655263\n", - " 0.200000\n", - " 0.608000\n", - " 0.927871\n", - " 1.0\n", - " -0.015547\n", - " 0.879431\n", - " -0.103815\n", - " 0.255034\n", - " -0.137099\n", - " 0.456610\n", - " \n", - " \n", - " 48\n", - " (salty)\n", - " (cow)\n", - " 0.097368\n", - " 0.655263\n", - " 0.066667\n", - " 0.684685\n", - " 1.044900\n", - " 1.0\n", - " 0.002865\n", - " 1.093308\n", - " 0.047606\n", - " 0.097187\n", - " 0.085345\n", - " 0.393212\n", - " \n", - " \n", - " 49\n", - " (smooth)\n", - " (cow)\n", - " 0.298246\n", - " 0.655263\n", - " 0.187719\n", - " 0.629412\n", - " 0.960548\n", - " 1.0\n", - " -0.007710\n", - " 0.930242\n", - " -0.055292\n", - " 0.245132\n", - " -0.074989\n", - " 0.457946\n", - " \n", - " \n", - " 50\n", - " (pale yellow)\n", - " (cow)\n", - " 0.227193\n", - " 0.655263\n", - " 0.178070\n", - " 0.783784\n", - " 1.196136\n", - " 1.0\n", - " 0.029199\n", - " 1.594408\n", - " 0.212181\n", - " 0.252802\n", - " 0.372808\n", - " 0.527769\n", - " \n", - " \n", - " 51\n", - " (tangy)\n", - " (cow)\n", - " 0.135965\n", - " 0.655263\n", - " 0.080702\n", - " 0.593548\n", - " 0.905817\n", - " 1.0\n", - " -0.008391\n", - " 0.848162\n", - " -0.107412\n", - " 0.113580\n", - " -0.179020\n", - " 0.358354\n", - " \n", - " \n", - " 52\n", - " (blue-veined)\n", - " (cow)\n", - " 0.070175\n", - " 0.655263\n", - " 0.057895\n", - " 0.825000\n", - " 1.259036\n", - " 1.0\n", - " 0.011911\n", - " 1.969925\n", - " 0.221269\n", - " 0.086728\n", - " 0.492366\n", - " 0.456677\n", - " \n", - " \n", - " 53\n", - " (fresh)\n", - " (cow)\n", - " 0.126316\n", - " 0.655263\n", - " 0.063158\n", - " 0.500000\n", - " 0.763052\n", - " 1.0\n", - " -0.019612\n", - " 0.689474\n", - " -0.262222\n", - " 0.087912\n", - " -0.450382\n", - " 0.298193\n", - " \n", - " \n", - " 54\n", - " (sharp)\n", - " (cow)\n", - " 0.078070\n", - " 0.655263\n", - " 0.057895\n", - " 0.741573\n", - " 1.131718\n", - " 1.0\n", - " 0.006738\n", - " 1.333982\n", - " 0.126243\n", - " 0.085714\n", - " 0.250365\n", - " 0.414963\n", - " \n", - " \n", - " 55\n", - " (ivory)\n", - " (cow)\n", - " 0.123684\n", - " 0.655263\n", - " 0.071930\n", - " 0.581560\n", - " 0.887522\n", - " 1.0\n", - " -0.009116\n", - " 0.823863\n", - " -0.126348\n", - " 0.101737\n", - " -0.213795\n", - " 0.345666\n", + " 0.021676\n", + " 1.915205\n", + " 0.231338\n", + " 0.158915\n", + " 0.477863\n", + " 0.492329\n", " \n", " \n", " 56\n", - " (open)\n", - " (cow)\n", - " 0.069298\n", - " 0.655263\n", - " 0.052632\n", - " 0.759494\n", - " 1.159067\n", - " 1.0\n", - " 0.007223\n", - " 1.433380\n", - " 0.147455\n", - " 0.078329\n", - " 0.302348\n", - " 0.419907\n", - " \n", - " \n", - " 57\n", - " (natural)\n", - " (cow)\n", - " 0.371053\n", - " 0.655263\n", - " 0.250000\n", - " 0.673759\n", - " 1.028226\n", - " 1.0\n", - " 0.006863\n", - " 1.056693\n", - " 0.043647\n", - " 0.322034\n", - " 0.053652\n", - " 0.527642\n", - " \n", - " \n", - " 58\n", - " (crumbly)\n", - " (cow)\n", - " 0.188596\n", - " 0.655263\n", - " 0.124561\n", - 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0.655263\n", - " 0.541228\n", - " 0.331579\n", - " 0.506024\n", - " 0.934955\n", - " 1.0\n", - " -0.023068\n", - " 0.928733\n", - " -0.167919\n", - " 0.383367\n", - " -0.076735\n", - " 0.559333\n", - " \n", - " \n", - " 63\n", - " (artisan)\n", - " (cow)\n", - " 0.541228\n", - " 0.655263\n", - " 0.331579\n", - " 0.612642\n", - " 0.934955\n", - " 1.0\n", - " -0.023068\n", - " 0.889969\n", - " -0.131676\n", - " 0.383367\n", - " -0.123634\n", - " 0.559333\n", - " \n", - " \n", - " 64\n", " (rich)\n", " (cow)\n", " 0.135088\n", @@ -19847,1487 +11981,8 @@ " 0.489512\n", " \n", " \n", - " 65\n", - " (Cheddar)\n", - " (cow)\n", - " 0.075439\n", - " 0.655263\n", - " 0.071053\n", - " 0.941860\n", - " 1.437377\n", - " 1.0\n", - " 0.021620\n", - " 5.929474\n", - " 0.329117\n", - " 0.107713\n", - " 0.831351\n", - " 0.525147\n", - " \n", - " \n", - " 66\n", - " (strong)\n", - " (cow)\n", - " 0.136842\n", - " 0.655263\n", - " 0.093860\n", - " 0.685897\n", - " 1.046751\n", - " 1.0\n", - " 0.004192\n", - " 1.097530\n", - " 0.051744\n", - " 0.134422\n", - " 0.088863\n", - " 0.414569\n", - " \n", - " \n", - " 67\n", - " (nutty)\n", - " (cow)\n", - " 0.203509\n", - " 0.655263\n", - " 0.142105\n", - " 0.698276\n", - " 1.065642\n", - " 1.0\n", - " 0.008753\n", - " 1.142556\n", - " 0.077337\n", - " 0.198286\n", - " 0.124770\n", - " 0.457572\n", - " \n", - " \n", - " 68\n", - " (cream)\n", - " (cow)\n", - " 0.075439\n", - " 0.655263\n", - " 0.057895\n", - " 0.767442\n", - " 1.171196\n", - " 1.0\n", - " 0.008463\n", - " 1.482368\n", - " 0.158099\n", - " 0.086050\n", - " 0.325404\n", - " 0.427898\n", - " \n", - " \n", - " 69\n", - " (firm)\n", - " (artisan)\n", - " 0.221053\n", - " 0.541228\n", - " 0.135965\n", - " 0.615079\n", - " 1.136451\n", - " 1.0\n", - " 0.016325\n", - " 1.191861\n", - " 0.154141\n", - " 0.217087\n", - " 0.160976\n", - " 0.433147\n", - " \n", - " \n", - " 70\n", - " (Blue)\n", - " (blue-veined)\n", - " 0.078070\n", - " 0.070175\n", - " 0.060526\n", - " 0.775281\n", - " 11.047753\n", - " 1.0\n", - " 0.055048\n", - " 4.137719\n", - " 0.986500\n", - " 0.690000\n", - " 0.758321\n", - " 0.818890\n", - " \n", - " \n", - " 71\n", - " (blue-veined)\n", - " (Blue)\n", - " 0.070175\n", - " 0.078070\n", - " 0.060526\n", - " 0.862500\n", - " 11.047753\n", - " 1.0\n", - " 0.055048\n", - " 6.704944\n", - " 0.978124\n", - " 0.690000\n", - " 0.850856\n", - " 0.818890\n", - " \n", - " \n", " 72\n", - " (goat)\n", - " (artisan)\n", - " 0.224561\n", - " 0.541228\n", - " 0.128070\n", - " 0.570312\n", - " 1.053738\n", - " 1.0\n", - " 0.006531\n", - " 1.067687\n", - " 0.065766\n", - " 0.200825\n", - " 0.063396\n", - " 0.403471\n", - " \n", - " \n", - " 73\n", - " (aromatic)\n", - " (artisan)\n", - " 0.098246\n", - " 0.541228\n", - " 0.057895\n", - " 0.589286\n", - " 1.088794\n", - " 1.0\n", - " 0.004721\n", - " 1.117010\n", - " 0.090437\n", - " 0.099548\n", - " 0.104753\n", - " 0.348127\n", - " \n", - " \n", - " 74\n", - " (mild)\n", - " (artisan)\n", - " 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0.442953\n", - " 0.691745\n", - " 0.628766\n", - " \n", - " \n", - " 82\n", - " (soft-ripened)\n", - " (bloomy)\n", - " 0.108772\n", - " 0.079825\n", - " 0.057895\n", - " 0.532258\n", - " 6.667848\n", - " 1.0\n", - " 0.049212\n", - " 1.967272\n", - " 0.953770\n", - " 0.442953\n", - " 0.491682\n", - " 0.628766\n", - " \n", - " \n", - " 83\n", - " (soft-ripened)\n", - " (soft)\n", - " 0.108772\n", - " 0.328947\n", - " 0.088596\n", - " 0.814516\n", - " 2.476129\n", - " 1.0\n", - " 0.052816\n", - " 3.617849\n", - " 0.668902\n", - " 0.253769\n", - " 0.723593\n", - " 0.541925\n", - " \n", - " \n", - " 84\n", - " (bloomy)\n", - " (soft)\n", - " 0.079825\n", - " 0.328947\n", - " 0.067544\n", - " 0.846154\n", - " 2.572308\n", - " 1.0\n", - " 0.041286\n", - " 4.361842\n", - " 0.664269\n", - " 0.197943\n", - " 0.770739\n", - " 0.525744\n", - " \n", - " \n", - " 85\n", - " (salty)\n", - " (artisan)\n", - " 0.097368\n", - " 0.541228\n", - " 0.052632\n", - " 0.540541\n", - " 0.998730\n", - " 1.0\n", 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0.073684\n", - " 0.583333\n", - " 2.538168\n", - " 1.0\n", - " 0.044654\n", - " 1.848421\n", - " 0.693632\n", - " 0.260870\n", - " 0.458998\n", - " 0.451972\n", - " \n", - " \n", - " 90\n", - " (fresh)\n", - " (artisan)\n", - " 0.126316\n", - " 0.541228\n", - " 0.071930\n", - " 0.569444\n", - " 1.052134\n", - " 1.0\n", - " 0.003564\n", - " 1.065535\n", - " 0.056715\n", - " 0.120766\n", - " 0.061504\n", - " 0.351173\n", - " \n", - " \n", - " 91\n", - " (ivory)\n", - " (artisan)\n", - " 0.123684\n", - " 0.541228\n", - " 0.076316\n", - " 0.617021\n", - " 1.140039\n", - " 1.0\n", - " 0.009374\n", - " 1.197904\n", - " 0.140175\n", - " 0.129657\n", - " 0.165209\n", - " 0.379013\n", - " \n", - " \n", - " 92\n", - " (white)\n", - " (artisan)\n", - " 0.229825\n", - " 0.541228\n", - " 0.132456\n", - " 0.576336\n", - " 1.064867\n", - " 1.0\n", - " 0.008069\n", - " 1.082867\n", - " 0.079093\n", - " 0.207418\n", - " 0.076526\n", - " 0.410534\n", - " \n", - " \n", - " 93\n", - " (crumbly)\n", - " 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0.439034\n", - " \n", - " \n", - " 97\n", - " (semi-soft)\n", - " (artisan)\n", - " 0.228947\n", - " 0.541228\n", - " 0.126316\n", - " 0.551724\n", - " 1.019393\n", - " 1.0\n", - " 0.002403\n", - " 1.023414\n", - " 0.024673\n", - " 0.196185\n", - " 0.022879\n", - " 0.392556\n", - " \n", - " \n", - " 98\n", - " (hard)\n", - " (artisan)\n", - " 0.188596\n", - " 0.541228\n", - " 0.110526\n", - " 0.586047\n", - " 1.082809\n", - " 1.0\n", - " 0.008453\n", - " 1.108269\n", - " 0.094251\n", - " 0.178470\n", - " 0.097692\n", - " 0.395130\n", - " \n", - " \n", - " 99\n", - " (rich)\n", - " (artisan)\n", - " 0.135088\n", - " 0.541228\n", - " 0.079825\n", - " 0.590909\n", - " 1.091793\n", - " 1.0\n", - " 0.006711\n", - " 1.121442\n", - " 0.097207\n", - " 0.133824\n", - " 0.108291\n", - " 0.369198\n", - " \n", - " \n", - " 100\n", - " (Cheddar)\n", - " (artisan)\n", - " 0.075439\n", - " 0.541228\n", - " 0.050877\n", - " 0.674419\n", - " 1.246089\n", - " 1.0\n", - " 0.010048\n", - " 1.409085\n", - 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1.0\n", - " 0.017332\n", - " 1.598751\n", - " 0.267995\n", - " 0.126154\n", - " 0.374512\n", - " 0.422972\n", - " \n", - " \n", - " 116\n", - " (sweet, nutty)\n", - " (artisan)\n", - " 0.076316\n", - " 0.541228\n", - " 0.050000\n", - " 0.655172\n", - " 1.210529\n", - " 1.0\n", - " 0.008696\n", - " 1.330439\n", - " 0.188284\n", - " 0.088099\n", - " 0.248368\n", - " 0.373777\n", - " \n", - " \n", - " 117\n", - " (cow, semi-hard)\n", - " (creamy)\n", - " 0.143860\n", - " 0.560526\n", - " 0.073684\n", - " 0.512195\n", - " 0.913775\n", - " 1.0\n", - " -0.006953\n", - " 0.900921\n", - " -0.099275\n", - " 0.116829\n", - " -0.109975\n", - " 0.321825\n", - " \n", - " \n", - " 118\n", - " (semi-hard, creamy)\n", - " (cow)\n", - " 0.092982\n", - " 0.655263\n", - " 0.073684\n", - " 0.792453\n", - " 1.209366\n", - " 1.0\n", - " 0.012756\n", - " 1.661005\n", - " 0.190868\n", - " 0.109233\n", - " 0.397955\n", - " 0.452451\n", - " \n", - " \n", - " 119\n", - " (natural, semi-hard)\n", - " (creamy)\n", 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-0.088965\n", - " 0.317835\n", - " \n", - " \n", - " 123\n", - " (semi-hard, firm)\n", - " (cow)\n", - " 0.069298\n", - " 0.655263\n", - " 0.052632\n", - " 0.759494\n", - " 1.159067\n", - " 1.0\n", - " 0.007223\n", - " 1.433380\n", - " 0.147455\n", - " 0.078329\n", - " 0.302348\n", - " 0.419907\n", - " \n", - " \n", - " 124\n", - " (semi-hard, pale yellow)\n", - " (cow)\n", - " 0.062281\n", - " 0.655263\n", - " 0.053509\n", - " 0.859155\n", - " 1.311160\n", - " 1.0\n", - " 0.012699\n", - " 2.447632\n", - " 0.253079\n", - " 0.080581\n", - " 0.591442\n", - " 0.470407\n", - " \n", - " \n", - " 125\n", - " (cow, semi-hard)\n", - " (natural)\n", - " 0.143860\n", - " 0.371053\n", - " 0.079825\n", - " 0.554878\n", - " 1.495416\n", - " 1.0\n", - " 0.026445\n", - " 1.412978\n", - " 0.386957\n", - " 0.183468\n", - " 0.292275\n", - " 0.385004\n", - " \n", - " \n", - " 126\n", - " (natural, semi-hard)\n", - " (cow)\n", - " 0.110526\n", - " 0.655263\n", - " 0.079825\n", - " 0.722222\n", - " 1.102187\n", - " 1.0\n", - " 0.007401\n", - " 1.241053\n", - " 0.104233\n", - " 0.116368\n", - " 0.194232\n", - " 0.422021\n", - " \n", - " \n", - " 127\n", - " (cow, semi-hard)\n", - " (artisan)\n", - " 0.143860\n", - " 0.541228\n", - " 0.085088\n", - " 0.591463\n", - " 1.092817\n", - " 1.0\n", - " 0.007227\n", - " 1.122964\n", - " 0.099206\n", - " 0.141813\n", - " 0.109500\n", - " 0.374338\n", - " \n", - " \n", - " 128\n", - " (semi-hard, artisan)\n", - " (cow)\n", - " 0.122807\n", - " 0.655263\n", - " 0.085088\n", - " 0.692857\n", - " 1.057372\n", - " 1.0\n", - " 0.004617\n", - " 1.122399\n", - " 0.061856\n", - " 0.122785\n", - " 0.109051\n", - " 0.411355\n", - " \n", - " \n", - " 129\n", - " (natural, semi-hard)\n", - " (artisan)\n", - " 0.110526\n", - " 0.541228\n", - " 0.077193\n", - " 0.698413\n", - " 1.290422\n", - " 1.0\n", - " 0.017373\n", - " 1.521191\n", - " 0.253026\n", - " 0.134351\n", - " 0.342620\n", - " 0.420519\n", - " \n", - " \n", - " 130\n", - " (semi-hard, artisan)\n", - " (natural)\n", - " 0.122807\n", - " 0.371053\n", - " 0.077193\n", - " 0.628571\n", - " 1.694022\n", - " 1.0\n", - " 0.031625\n", - " 1.693320\n", - " 0.467045\n", - " 0.185263\n", - " 0.409444\n", - " 0.418305\n", - " \n", - " \n", - " 131\n", - " (cow, Blue)\n", - " (creamy)\n", - " 0.063158\n", - " 0.560526\n", - " 0.050877\n", - " 0.805556\n", - " 1.437141\n", - " 1.0\n", - " 0.015476\n", - " 2.260150\n", - " 0.324680\n", - " 0.088821\n", - " 0.557552\n", - " 0.448161\n", - " \n", - " \n", - " 132\n", - " (Blue, creamy)\n", - " (cow)\n", - " 0.060526\n", - " 0.655263\n", - " 0.050877\n", - " 0.840580\n", - " 1.282812\n", - " 1.0\n", - " 0.011217\n", - " 2.162440\n", - " 0.234666\n", - " 0.076517\n", - " 0.537559\n", - " 0.459112\n", - " \n", - " \n", - " 133\n", - " (Blue)\n", - " (cow, creamy)\n", - " 0.078070\n", - " 0.378070\n", - " 0.050877\n", - " 0.651685\n", - " 1.723715\n", - " 1.0\n", - " 0.021361\n", - " 1.785540\n", - " 0.455412\n", - " 0.125541\n", - " 0.439945\n", - " 0.393128\n", - " \n", - " \n", - " 134\n", - " (cow, mild)\n", - " (creamy)\n", - " 0.126316\n", - " 0.560526\n", - " 0.081579\n", - " 0.645833\n", - " 1.152191\n", - " 1.0\n", - " 0.010776\n", - " 1.240867\n", - " 0.151185\n", - " 0.134783\n", - " 0.194112\n", - " 0.395687\n", - " \n", - " \n", - " 135\n", - " (creamy, mild)\n", - " (cow)\n", - " 0.130702\n", - " 0.655263\n", - " 0.081579\n", - " 0.624161\n", - " 0.952535\n", - " 1.0\n", - " -0.004065\n", - " 0.917246\n", - " -0.054215\n", - " 0.115816\n", - " -0.090220\n", - " 0.374330\n", - " \n", - " \n", - " 136\n", - " (cow, buttery)\n", - " (creamy)\n", - " 0.163158\n", - " 0.560526\n", - " 0.107895\n", - " 0.661290\n", - " 1.179767\n", - " 1.0\n", - " 0.016440\n", - " 1.297494\n", - " 0.182083\n", - " 0.175214\n", - " 0.229283\n", - " 0.426889\n", - " \n", - " \n", - " 137\n", - " (creamy, buttery)\n", - " (cow)\n", - " 0.131579\n", - " 0.655263\n", - " 0.107895\n", - " 0.820000\n", - " 1.251406\n", - " 1.0\n", - " 0.021676\n", - " 1.915205\n", - " 0.231338\n", - " 0.158915\n", - " 0.477863\n", - " 0.492329\n", - " \n", - " \n", - " 138\n", - " (buttery)\n", - " (cow, creamy)\n", - " 0.203509\n", - " 0.378070\n", - " 0.107895\n", - " 0.530172\n", - " 1.402312\n", - " 1.0\n", - " 0.030954\n", - " 1.323741\n", - " 0.360195\n", - " 0.227778\n", - " 0.244565\n", - " 0.407778\n", - " \n", - " \n", - " 139\n", - " (cow, spicy)\n", - " (creamy)\n", - " 0.103509\n", - " 0.560526\n", - " 0.052632\n", - " 0.508475\n", - " 0.907138\n", - " 1.0\n", - " -0.005388\n", - " 0.894102\n", - " -0.102485\n", - " 0.086083\n", - " -0.118441\n", - " 0.301186\n", - " \n", - " \n", - " 140\n", - " (creamy, spicy)\n", - " (cow)\n", - " 0.069298\n", - " 0.655263\n", - " 0.052632\n", - " 0.759494\n", - " 1.159067\n", - " 1.0\n", - " 0.007223\n", - " 1.433380\n", - " 0.147455\n", - " 0.078329\n", - " 0.302348\n", - " 0.419907\n", - " \n", - " \n", - " 141\n", - " (cow, soft-ripened)\n", - " (creamy)\n", - " 0.075439\n", - " 0.560526\n", - " 0.062281\n", - " 0.825581\n", - " 1.472868\n", - " 1.0\n", - " 0.019995\n", - " 2.519649\n", - " 0.347249\n", - " 0.108563\n", - " 0.603119\n", - " 0.468346\n", - " \n", - " \n", - " 142\n", - " (soft-ripened, creamy)\n", - " (cow)\n", - " 0.084211\n", - " 0.655263\n", - " 0.062281\n", - " 0.739583\n", - " 1.128681\n", - " 1.0\n", - " 0.007101\n", - " 1.323789\n", - " 0.124494\n", - " 0.091969\n", - " 0.244593\n", - " 0.417315\n", - " \n", - " \n", - " 143\n", - " (soft-ripened)\n", - " (cow, creamy)\n", - " 0.108772\n", - " 0.378070\n", - " 0.062281\n", - " 0.572581\n", - " 1.514482\n", - " 1.0\n", - " 0.021157\n", - " 1.455081\n", - " 0.381169\n", - " 0.146694\n", - " 0.312753\n", - " 0.368657\n", - " \n", - " \n", - " 144\n", - " (cow, bloomy)\n", - " (creamy)\n", - " 0.057895\n", - " 0.560526\n", - " 0.050877\n", - " 0.878788\n", - " 1.567791\n", - " 1.0\n", - " 0.018426\n", - " 3.625658\n", - " 0.384415\n", - " 0.089645\n", - " 0.724188\n", - " 0.484777\n", - " \n", - " \n", - " 145\n", - " (bloomy, creamy)\n", - " (cow)\n", - " 0.066667\n", - " 0.655263\n", - " 0.050877\n", - " 0.763158\n", - " 1.164659\n", - " 1.0\n", - " 0.007193\n", - " 1.455556\n", - " 0.151478\n", - " 0.075817\n", - " 0.312977\n", - " 0.420401\n", - " \n", - " \n", - " 146\n", - " (bloomy)\n", - " (cow, creamy)\n", - " 0.079825\n", - " 0.378070\n", - " 0.050877\n", - " 0.637363\n", - " 1.685832\n", - " 1.0\n", - " 0.020698\n", - " 1.715019\n", - " 0.442112\n", - " 0.125000\n", - " 0.416916\n", - " 0.385967\n", - " \n", - " \n", - " 147\n", - " (cow, soft)\n", - " (creamy)\n", - " 0.200000\n", - " 0.560526\n", - " 0.145614\n", - " 0.728070\n", - " 1.298905\n", - " 1.0\n", - " 0.033509\n", - " 1.616129\n", - " 0.287651\n", - " 0.236805\n", - " 0.381238\n", - " 0.493926\n", - " \n", - " \n", - " 148\n", - " (soft, creamy)\n", - " (cow)\n", - " 0.228070\n", - " 0.655263\n", - " 0.145614\n", - " 0.638462\n", - " 0.974359\n", - " 1.0\n", - " -0.003832\n", - " 0.953527\n", - " -0.032967\n", - " 0.197384\n", - " -0.048738\n", - " 0.430342\n", - " \n", - " \n", - " 149\n", - " (cow, smooth)\n", - " (creamy)\n", - " 0.187719\n", - " 0.560526\n", - " 0.130702\n", - " 0.696262\n", - " 1.242157\n", - " 1.0\n", - " 0.025480\n", - " 1.446883\n", - " 0.240002\n", - " 0.211648\n", - " 0.308859\n", - " 0.464719\n", - " \n", - " \n", - " 150\n", - " (smooth, creamy)\n", - " (cow)\n", - " 0.193860\n", - " 0.655263\n", - " 0.130702\n", - " 0.674208\n", - " 1.028912\n", - " 1.0\n", - " 0.003673\n", - " 1.058151\n", - " 0.034857\n", - " 0.181929\n", - " 0.054955\n", - " 0.436836\n", - " \n", - " \n", - " 151\n", - " (cow, pale yellow)\n", - " (creamy)\n", - " 0.178070\n", - " 0.560526\n", - " 0.100000\n", - " 0.561576\n", - " 1.001873\n", - " 1.0\n", - " 0.000187\n", - " 1.002395\n", - " 0.002275\n", - " 0.156593\n", - " 0.002389\n", - " 0.369990\n", - " \n", - " \n", - " 152\n", - " (creamy, pale yellow)\n", + " (pale yellow, creamy)\n", " (cow)\n", " 0.124561\n", " 0.655263\n", @@ -21343,1588 +11998,41 @@ " 0.477714\n", " \n", " \n", - " 153\n", - " (cow, white)\n", - " (creamy)\n", - " 0.094737\n", - " 0.560526\n", - " 0.063158\n", - " 0.666667\n", - " 1.189358\n", - " 1.0\n", - " 0.010055\n", - " 1.318421\n", - " 0.175872\n", - " 0.106667\n", - " 0.241517\n", - " 0.389671\n", - " \n", - " \n", - " 154\n", - " (natural, cow)\n", - " (creamy)\n", - " 0.250000\n", - " 0.560526\n", - " 0.135088\n", - " 0.540351\n", - " 0.964006\n", - " 1.0\n", - " -0.005044\n", - " 0.956107\n", - " -0.047423\n", - " 0.200000\n", - " -0.045908\n", - " 0.390676\n", - " \n", - " \n", - " 155\n", - " (natural, creamy)\n", + " 17\n", + " (buttery)\n", " (cow)\n", - " 0.184211\n", + " 0.203509\n", " 0.655263\n", - " 0.135088\n", - " 0.733333\n", - " 1.119143\n", - " 1.0\n", - " 0.014381\n", - " 1.292763\n", - " 0.130499\n", - " 0.191781\n", - " 0.226463\n", - " 0.469746\n", - " \n", - " \n", - " 156\n", - " (cow, semi-soft)\n", - " (creamy)\n", - " 0.153509\n", - " 0.560526\n", - " 0.104386\n", - " 0.680000\n", - " 1.213146\n", - " 1.0\n", - " 0.018340\n", - " 1.373355\n", - " 0.207559\n", - " 0.171223\n", - " 0.271856\n", - " 0.433114\n", - " \n", - " \n", - " 157\n", - " (semi-soft, creamy)\n", - " (cow)\n", - " 0.151754\n", - " 0.655263\n", - " 0.104386\n", - " 0.687861\n", - " 1.049748\n", - " 1.0\n", - " 0.004947\n", - " 1.104435\n", - " 0.055869\n", - " 0.148564\n", - " 0.094559\n", - " 0.423583\n", - " \n", - " \n", - " 158\n", - " (hard, creamy)\n", - " (cow)\n", - " 0.060526\n", - " 0.655263\n", - " 0.052632\n", - " 0.869565\n", - " 1.327047\n", - " 1.0\n", - " 0.012971\n", - " 2.642982\n", - " 0.262325\n", - " 0.079365\n", - " 0.621640\n", - " 0.474943\n", - " \n", - " \n", - " 159\n", - " (cow, creamy)\n", - " (artisan)\n", - " 0.378070\n", - " 0.541228\n", - " 0.192982\n", - " 0.510441\n", - " 0.943116\n", - " 1.0\n", - " -0.011640\n", - " 0.937112\n", - " -0.088407\n", - " 0.265700\n", - " -0.067108\n", - " 0.433502\n", - " \n", - " 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0.169093\n", - " 0.102597\n", - " 0.345906\n", - " 0.440133\n", - " \n", - " \n", - " 164\n", - " (rich)\n", - " (cow, creamy)\n", - " 0.135088\n", - " 0.378070\n", - " 0.069298\n", - " 0.512987\n", - " 1.356857\n", - " 1.0\n", - " 0.018226\n", - " 1.277029\n", - " 0.304080\n", - " 0.156126\n", - " 0.216933\n", - " 0.348141\n", - " \n", - " \n", - " 165\n", - " (cow, strong)\n", - " (creamy)\n", - " 0.093860\n", - " 0.560526\n", - " 0.054386\n", - " 0.579439\n", - " 1.033741\n", - " 1.0\n", - " 0.001775\n", - " 1.044971\n", - " 0.036021\n", - " 0.090643\n", - " 0.043035\n", - " 0.338233\n", - " \n", - " \n", - " 166\n", - " (strong, creamy)\n", - " (cow)\n", - " 0.067544\n", - " 0.655263\n", - " 0.054386\n", - " 0.805195\n", - " 1.228811\n", - " 1.0\n", - " 0.010127\n", - " 1.769649\n", - " 0.199694\n", - " 0.081365\n", - " 0.434916\n", - " 0.444097\n", - " \n", - " \n", - " 167\n", - " (cow, nutty)\n", - " (creamy)\n", - " 0.142105\n", - " 0.560526\n", - " 0.074561\n", - " 0.524691\n", - " 0.936069\n", - " 1.0\n", - " -0.005092\n", - " 0.924607\n", - " -0.073740\n", - " 0.118715\n", - " -0.081541\n", - " 0.328856\n", - " \n", - " \n", - " 168\n", - " (nutty, creamy)\n", - " (cow)\n", - " 0.100000\n", - " 0.655263\n", - " 0.074561\n", - " 0.745614\n", - " 1.137885\n", - " 1.0\n", - " 0.009035\n", - " 1.355172\n", - " 0.134641\n", - " 0.109536\n", - " 0.262087\n", - " 0.429701\n", - " \n", - " \n", - " 169\n", - " (firm, creamy)\n", - " (artisan)\n", - " 0.074561\n", - " 0.541228\n", - " 0.052632\n", - " 0.705882\n", - " 1.304223\n", - " 1.0\n", - " 0.012277\n", - " 1.559825\n", - " 0.252054\n", - " 0.093458\n", - " 0.358902\n", - " 0.401564\n", - " \n", - " \n", - " 170\n", - " (goat, soft)\n", - " (creamy)\n", - " 0.100877\n", - " 0.560526\n", - " 0.064912\n", - " 0.643478\n", - " 1.147989\n", - " 1.0\n", - " 0.008368\n", - " 1.232670\n", - " 0.143375\n", - " 0.108824\n", - " 0.188753\n", - " 0.379642\n", - " \n", - " \n", - " 171\n", - " (goat, 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- " 0.142810\n", - " 0.382849\n", - " \n", - " \n", - " 175\n", - " (soft, mild)\n", - " (creamy)\n", - " 0.071053\n", - " 0.560526\n", - " 0.051754\n", - " 0.728395\n", - " 1.299484\n", - " 1.0\n", - " 0.011928\n", - " 1.618062\n", - " 0.248091\n", - " 0.089259\n", - " 0.381977\n", - " 0.410363\n", - " \n", - " \n", - " 176\n", - " (smooth, mild)\n", - " (creamy)\n", - " 0.069298\n", - " 0.560526\n", - " 0.050877\n", - " 0.734177\n", - " 1.309800\n", - " 1.0\n", - " 0.012034\n", - " 1.653258\n", - " 0.254136\n", - " 0.087879\n", - " 0.395134\n", - " 0.412472\n", - " \n", - " \n", - " 177\n", - " (artisan, mild)\n", - " (creamy)\n", - " 0.106140\n", - " 0.560526\n", - " 0.064912\n", - " 0.611570\n", - " 1.091064\n", - " 1.0\n", - " 0.005418\n", - " 1.131411\n", - " 0.093375\n", - " 0.107872\n", - " 0.116148\n", - " 0.363688\n", - " \n", - " \n", - " 178\n", - " (soft, buttery)\n", - " (creamy)\n", - " 0.085088\n", - " 0.560526\n", - " 0.068421\n", - " 0.804124\n", - " 1.434587\n", - " 1.0\n", - " 0.020727\n", - " 2.243629\n", - " 0.331108\n", - " 0.118541\n", - " 0.554293\n", - " 0.463095\n", - " \n", - " \n", - " 179\n", - " (creamy, buttery)\n", - " (soft)\n", - " 0.131579\n", - " 0.328947\n", - " 0.068421\n", - " 0.520000\n", - " 1.580800\n", - " 1.0\n", - " 0.025139\n", - " 1.398026\n", - " 0.423077\n", - " 0.174497\n", - " 0.284706\n", - " 0.364000\n", - " \n", - " \n", - " 180\n", - " (buttery, artisan)\n", - " (creamy)\n", - " 0.103509\n", - " 0.560526\n", - " 0.066667\n", - " 0.644068\n", - " 1.149041\n", - " 1.0\n", - " 0.008647\n", - " 1.234712\n", - " 0.144685\n", - " 0.111601\n", - " 0.190094\n", - " 0.381502\n", - " \n", - " \n", - " 181\n", - " (creamy, buttery)\n", - " (artisan)\n", - " 0.131579\n", - " 0.541228\n", - " 0.066667\n", - " 0.506667\n", - " 0.936143\n", - " 1.0\n", - " -0.004548\n", - " 0.929943\n", - " -0.072828\n", - " 0.109986\n", - " -0.075335\n", - " 0.314922\n", - " \n", - " \n", - " 182\n", - " (soft, soft-ripened)\n", - " (creamy)\n", - " 0.088596\n", - " 0.560526\n", - " 0.070175\n", - " 0.792079\n", - " 1.413099\n", - " 1.0\n", - " 0.020515\n", - " 2.113659\n", - " 0.320753\n", - " 0.121212\n", - " 0.526887\n", - " 0.458637\n", - " \n", - " \n", - " 183\n", - " (soft-ripened, creamy)\n", - " (soft)\n", - " 0.084211\n", - " 0.328947\n", - " 0.070175\n", - " 0.833333\n", - " 2.533333\n", - " 1.0\n", - " 0.042475\n", - " 4.026316\n", - " 0.660920\n", - " 0.204604\n", - " 0.751634\n", - " 0.523333\n", - " \n", - " \n", - " 184\n", - " (soft-ripened)\n", - " (soft, creamy)\n", - " 0.108772\n", - " 0.228070\n", - " 0.070175\n", - " 0.645161\n", - " 2.828784\n", - " 1.0\n", - " 0.045368\n", - " 2.175439\n", - " 0.725394\n", - " 0.263158\n", - " 0.540323\n", - " 0.476427\n", - " \n", - " \n", - " 185\n", - " (bloomy, creamy)\n", - " (soft)\n", - " 0.066667\n", - " 0.328947\n", - " 0.057018\n", - " 0.855263\n", - " 2.600000\n", - " 1.0\n", - " 0.035088\n", - " 4.636364\n", - " 0.659341\n", - " 0.168394\n", - " 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1.0\n", - " 0.018257\n", - " 1.594662\n", - " 0.254592\n", - " 0.136499\n", - " 0.372908\n", - " 0.434192\n", - " \n", - " \n", - " 190\n", - " (white, creamy)\n", - " (soft)\n", - " 0.149123\n", - " 0.328947\n", - " 0.080702\n", - " 0.541176\n", - " 1.645176\n", - " 1.0\n", - " 0.031648\n", - " 1.462551\n", - " 0.460892\n", - " 0.203091\n", - " 0.316263\n", - " 0.393255\n", - " \n", - " \n", - " 191\n", - " (soft, artisan)\n", - " (creamy)\n", - " 0.153509\n", - " 0.560526\n", - " 0.106140\n", - " 0.691429\n", - " 1.233535\n", - " 1.0\n", - " 0.020095\n", - " 1.424220\n", - " 0.223654\n", - " 0.174603\n", - " 0.297861\n", - " 0.440393\n", - " \n", - " \n", - " 192\n", - " (smooth, white)\n", - " (creamy)\n", - " 0.088596\n", - " 0.560526\n", - " 0.063158\n", - " 0.712871\n", - " 1.271789\n", - " 1.0\n", - " 0.013497\n", - " 1.530581\n", - " 0.234480\n", - " 0.107784\n", - " 0.346653\n", - " 0.412774\n", - " \n", - " \n", - " 193\n", - " (natural, smooth)\n", - " (creamy)\n", - " 0.103509\n", - " 0.560526\n", - " 0.059649\n", - " 0.576271\n", - " 1.028089\n", - " 1.0\n", - " 0.001630\n", - " 1.037158\n", - " 0.030477\n", - " 0.098694\n", - " 0.035827\n", - " 0.341344\n", - " \n", - " \n", - " 194\n", - " (smooth, semi-soft)\n", - " (creamy)\n", - " 0.080702\n", - " 0.560526\n", - " 0.057018\n", - " 0.706522\n", - " 1.260461\n", - " 1.0\n", - " 0.011782\n", - " 1.497466\n", - " 0.224780\n", - " 0.097598\n", - " 0.332205\n", - " 0.404122\n", - " \n", - " \n", - " 195\n", - " (smooth, creamy)\n", - " (artisan)\n", - " 0.193860\n", - " 0.541228\n", - " 0.108772\n", - " 0.561086\n", - " 1.036690\n", - " 1.0\n", - " 0.003850\n", - " 1.045243\n", - " 0.043903\n", - " 0.173669\n", - " 0.043285\n", - " 0.381029\n", - " \n", - " \n", - " 196\n", - " (smooth, artisan)\n", - " (creamy)\n", - " 0.169298\n", - " 0.560526\n", - " 0.108772\n", - " 0.642487\n", - " 1.146221\n", - " 1.0\n", - " 0.013876\n", - " 1.229252\n", - " 0.153566\n", - " 0.175141\n", - " 0.186497\n", - " 0.418270\n", - " \n", - " \n", - " 197\n", - " (natural, pale yellow)\n", - " (creamy)\n", - " 0.106140\n", - " 0.560526\n", - " 0.054386\n", - " 0.512397\n", - " 0.914135\n", - " 1.0\n", - " -0.005108\n", - " 0.901293\n", - " -0.095091\n", - " 0.088825\n", - " -0.109517\n", - " 0.304712\n", - " \n", - " \n", - " 198\n", - " (pale yellow, artisan)\n", - " (creamy)\n", - " 0.142982\n", - " 0.560526\n", - " 0.076316\n", - " 0.533742\n", - " 0.952216\n", - " 1.0\n", - " -0.003830\n", - " 0.942555\n", - " -0.055315\n", - " 0.121678\n", - " -0.060946\n", - " 0.334946\n", - " \n", - " \n", - " 199\n", - " (creamy, pale yellow)\n", - " (artisan)\n", - " 0.124561\n", - " 0.541228\n", - " 0.076316\n", - " 0.612676\n", - " 1.132011\n", - " 1.0\n", - " 0.008900\n", - " 1.184466\n", - " 0.133209\n", - " 0.129464\n", - " 0.155737\n", - " 0.376840\n", - " \n", - " \n", - " 200\n", - " (fresh, white)\n", - " (creamy)\n", - " 0.073684\n", - " 0.560526\n", - " 0.058772\n", - " 0.797619\n", - " 1.422982\n", - " 1.0\n", - " 0.017470\n", - " 2.171517\n", - " 0.320896\n", - " 0.102134\n", - " 0.539492\n", - " 0.451235\n", - " \n", - " \n", - " 201\n", - " (fresh, creamy)\n", - " (white)\n", - " 0.091228\n", - " 0.229825\n", - " 0.058772\n", - " 0.644231\n", - " 2.803142\n", - " 1.0\n", - " 0.037805\n", - " 2.164817\n", - " 0.707831\n", - " 0.224080\n", - " 0.538067\n", - " 0.449978\n", - " \n", - " \n", - " 202\n", - " (white, artisan)\n", - " (creamy)\n", - " 0.132456\n", - " 0.560526\n", - " 0.084211\n", - " 0.635762\n", - " 1.134223\n", - " 1.0\n", - " 0.009965\n", - " 1.206555\n", - " 0.136407\n", - " 0.138329\n", - " 0.171194\n", - " 0.392998\n", - " \n", - " \n", - " 203\n", - " (white, creamy)\n", - " (artisan)\n", - " 0.149123\n", - " 0.541228\n", - " 0.084211\n", - " 0.564706\n", - " 1.043379\n", - " 1.0\n", - " 0.003501\n", - " 1.053936\n", - " 0.048862\n", - " 0.138929\n", - " 0.051175\n", - " 0.360149\n", - " \n", - " \n", - " 204\n", - " (natural, semi-soft)\n", - " (creamy)\n", - " 0.072807\n", - " 0.560526\n", - " 0.050877\n", - " 0.698795\n", - " 1.246677\n", - " 1.0\n", - " 0.010067\n", - " 1.459053\n", - " 0.213405\n", - " 0.087349\n", - " 0.314624\n", - " 0.394781\n", - " \n", - " \n", - " 205\n", - " (natural, creamy)\n", - " (artisan)\n", - " 0.184211\n", - " 0.541228\n", - " 0.121053\n", - " 0.657143\n", - " 1.214170\n", - " 1.0\n", - " 0.021353\n", - " 1.338085\n", - " 0.216223\n", - " 0.200290\n", - " 0.252663\n", - " 0.440403\n", - " \n", - " \n", - " 206\n", - " (natural, artisan)\n", - " (creamy)\n", - " 0.238596\n", - " 0.560526\n", - " 0.121053\n", - " 0.507353\n", - " 0.905137\n", - " 1.0\n", - " -0.012687\n", - " 0.892066\n", - " -0.120993\n", - " 0.178525\n", - " -0.120993\n", - " 0.361658\n", - " \n", - " \n", - " 207\n", - " (semi-soft, creamy)\n", - " (artisan)\n", - " 0.151754\n", - " 0.541228\n", - " 0.086842\n", - " 0.572254\n", - " 1.057326\n", - " 1.0\n", - " 0.004708\n", - " 1.072534\n", - " 0.063917\n", - " 0.143271\n", - " 0.067629\n", - " 0.366354\n", - " \n", - " \n", - " 208\n", - " (semi-soft, artisan)\n", - " (creamy)\n", - " 0.126316\n", - " 0.560526\n", - " 0.086842\n", - " 0.687500\n", - " 1.226526\n", - " 1.0\n", - " 0.016039\n", - " 1.406316\n", - " 0.211391\n", - " 0.144737\n", - " 0.288922\n", - " 0.421215\n", - " \n", - " \n", - " 209\n", - " (rich, creamy)\n", - " (artisan)\n", - " 0.089474\n", - " 0.541228\n", - " 0.053509\n", - " 0.598039\n", - " 1.104967\n", - " 1.0\n", - " 0.005083\n", - " 1.141335\n", - " 0.104331\n", - " 0.092705\n", - " 0.123833\n", - " 0.348452\n", - " \n", - " \n", - " 210\n", - " (rich, artisan)\n", - " (creamy)\n", - " 0.079825\n", - " 0.560526\n", - " 0.053509\n", - " 0.670330\n", - " 1.195893\n", - " 1.0\n", - " 0.008765\n", - " 1.333070\n", - " 0.178015\n", - " 0.091181\n", - " 0.249852\n", - " 0.382896\n", - " \n", - " \n", - " 211\n", - " (nutty, creamy)\n", - " (artisan)\n", - " 0.100000\n", - " 0.541228\n", - " 0.060526\n", - " 0.605263\n", - " 1.118314\n", - " 1.0\n", - " 0.006404\n", - " 1.162222\n", - " 0.117552\n", - " 0.104230\n", - " 0.139579\n", - " 0.358547\n", - " \n", - " \n", - " 212\n", - " (nutty, artisan)\n", - " (creamy)\n", - " 0.121053\n", - " 0.560526\n", - " 0.060526\n", - " 0.500000\n", - " 0.892019\n", - " 1.0\n", - " -0.007327\n", - " 0.878947\n", - " -0.121053\n", - " 0.097458\n", - " -0.137725\n", - " 0.303991\n", - " \n", - " \n", - " 213\n", - " (natural, firm)\n", - " (cow)\n", - " 0.094737\n", - " 0.655263\n", - " 0.067544\n", - " 0.712963\n", - " 1.088056\n", - " 1.0\n", - " 0.005466\n", - " 1.201019\n", - " 0.089399\n", - " 0.098972\n", - " 0.167373\n", - " 0.408021\n", - " \n", - " \n", - " 214\n", - " (cow, firm)\n", - " (artisan)\n", - " 0.143860\n", - " 0.541228\n", - " 0.077193\n", - " 0.536585\n", - " 0.991422\n", - " 1.0\n", - " -0.000668\n", - " 0.989982\n", - " -0.010005\n", - " 0.126984\n", - " -0.010120\n", - " 0.339605\n", - " \n", - " \n", - " 215\n", - " (firm, artisan)\n", - " (cow)\n", - " 0.135965\n", - " 0.655263\n", - " 0.077193\n", - " 0.567742\n", - " 0.866433\n", - " 1.0\n", - " -0.011900\n", - " 0.797526\n", - " -0.151402\n", - " 0.108108\n", - " -0.253878\n", - " 0.342773\n", - " \n", - " \n", - " 216\n", - " (cow, Blue)\n", - " (blue-veined)\n", - " 0.063158\n", - " 0.070175\n", - " 0.050000\n", - " 0.791667\n", - " 11.281250\n", - " 1.0\n", - " 0.045568\n", - " 4.463158\n", - " 0.972797\n", - " 0.600000\n", - " 0.775943\n", - " 0.752083\n", - " \n", - " \n", - " 217\n", - " (cow, blue-veined)\n", - " (Blue)\n", - " 0.057895\n", - " 0.078070\n", - " 0.050000\n", - " 0.863636\n", - " 11.062308\n", - " 1.0\n", - " 0.045480\n", - " 6.760819\n", - " 0.965500\n", - " 0.581633\n", - " 0.852089\n", - " 0.752043\n", - " \n", - " \n", - " 218\n", - " (Blue, blue-veined)\n", - " (cow)\n", - " 0.060526\n", - " 0.655263\n", - " 0.050000\n", - " 0.826087\n", - " 1.260695\n", - " 1.0\n", - " 0.010339\n", - " 1.982237\n", - " 0.220109\n", - " 0.075099\n", - " 0.495519\n", - " 0.451196\n", - " \n", - " \n", - " 219\n", - " (Blue)\n", - " (cow, blue-veined)\n", - " 0.078070\n", - " 0.057895\n", - " 0.050000\n", - " 0.640449\n", - " 11.062308\n", - " 1.0\n", - " 0.045480\n", - " 2.620230\n", - " 0.986629\n", - " 0.581633\n", - " 0.618354\n", - " 0.752043\n", - " \n", - " \n", - " 220\n", - " (blue-veined)\n", - " (cow, Blue)\n", - " 0.070175\n", - " 0.063158\n", - " 0.050000\n", - " 0.712500\n", - " 11.281250\n", - " 1.0\n", - " 0.045568\n", - " 3.258581\n", - " 0.980139\n", - " 0.600000\n", - " 0.693118\n", - " 0.752083\n", - " \n", - " \n", - " 221\n", - " (artisan, mild)\n", - " (cow)\n", - " 0.106140\n", - " 0.655263\n", - " 0.055263\n", - " 0.520661\n", - " 0.794583\n", - " 1.0\n", - " -0.014287\n", - " 0.719192\n", - " -0.224337\n", - " 0.078261\n", - " -0.390449\n", - " 0.302499\n", - " \n", - " \n", - " 222\n", - " (soft, buttery)\n", - " (cow)\n", - " 0.085088\n", - " 0.655263\n", - " 0.068421\n", - " 0.804124\n", - " 1.227177\n", - " 1.0\n", - " 0.012666\n", - " 1.759972\n", - " 0.202338\n", - " 0.101828\n", - " 0.431809\n", - " 0.454271\n", - " \n", - " \n", - " 223\n", - " (smooth, buttery)\n", - " (cow)\n", - " 0.064912\n", - " 0.655263\n", - " 0.052632\n", - " 0.810811\n", - " 1.237382\n", - " 1.0\n", - " 0.010097\n", - " 1.822180\n", - " 0.205159\n", - " 0.078844\n", - " 0.451207\n", - " 0.445566\n", - " \n", - " \n", - " 224\n", - " (natural, buttery)\n", - " (cow)\n", - " 0.063158\n", - " 0.655263\n", - " 0.050000\n", - " 0.791667\n", - " 1.208166\n", - " 1.0\n", - " 0.008615\n", - " 1.654737\n", - " 0.183915\n", - " 0.074803\n", - " 0.395674\n", - " 0.433986\n", - " \n", - " \n", - " 225\n", - " (cow, buttery)\n", - " (artisan)\n", " 0.163158\n", - " 0.541228\n", - " 0.083333\n", - " 0.510753\n", - " 0.943692\n", + " 0.801724\n", + " 1.223515\n", " 1.0\n", - " -0.004972\n", - " 0.937710\n", - " -0.066555\n", - " 0.134181\n", - " -0.066428\n", - " 0.332362\n", + " 0.029806\n", + " 1.738673\n", + " 0.229359\n", + " 0.234552\n", + " 0.424849\n", + " 0.525360\n", " \n", " \n", - " 226\n", - " (buttery, artisan)\n", + " 15\n", + " (pale yellow)\n", " (cow)\n", - " 0.103509\n", + " 0.227193\n", " 0.655263\n", - " 0.083333\n", - " 0.805085\n", - " 1.228643\n", - " 1.0\n", - " 0.015508\n", - " 1.768650\n", - " 0.207581\n", - " 0.123377\n", - " 0.434597\n", - " 0.466130\n", - " \n", - " \n", - " 227\n", - " (natural, spicy)\n", - " (cow)\n", - " 0.072807\n", - " 0.655263\n", - " 0.057018\n", - " 0.783133\n", - " 1.195142\n", - " 1.0\n", - " 0.009310\n", - " 1.589620\n", - " 0.176101\n", - " 0.084967\n", - " 0.370919\n", - " 0.435074\n", - " \n", - " \n", - " 228\n", - " (cow, spicy)\n", - " (natural)\n", - " 0.103509\n", - " 0.371053\n", - " 0.057018\n", - " 0.550847\n", - " 1.484553\n", - " 1.0\n", - " 0.018610\n", - " 1.400298\n", - " 0.364082\n", - " 0.136555\n", - " 0.285866\n", - " 0.352256\n", - " \n", - " \n", - " 229\n", - " (cow, spicy)\n", - " (artisan)\n", - " 0.103509\n", - " 0.541228\n", - " 0.059649\n", - " 0.576271\n", - " 1.064747\n", - " 1.0\n", - " 0.003627\n", - " 1.082702\n", - " 0.067831\n", - " 0.101949\n", - " 0.076385\n", - " 0.343241\n", - " \n", - " \n", - " 230\n", - " (artisan, spicy)\n", - " (cow)\n", - " 0.083333\n", - " 0.655263\n", - " 0.059649\n", - " 0.715789\n", - " 1.092369\n", - " 1.0\n", - " 0.005044\n", - " 1.212963\n", - " 0.092246\n", - " 0.087855\n", - " 0.175573\n", - " 0.403410\n", - " \n", - " \n", - " 231\n", - " (cow, soft-ripened)\n", - " (soft)\n", - " 0.075439\n", - " 0.328947\n", - " 0.066667\n", - " 0.883721\n", - " 2.686512\n", - " 1.0\n", - " 0.041851\n", - " 5.771053\n", - " 0.678992\n", - " 0.197403\n", - " 0.826721\n", - " 0.543194\n", - " \n", - " \n", - " 232\n", - " (soft, soft-ripened)\n", - " (cow)\n", - " 0.088596\n", - " 0.655263\n", - " 0.066667\n", - " 0.752475\n", - " 1.148356\n", - " 1.0\n", - " 0.008613\n", - " 1.392737\n", - " 0.141748\n", - " 0.098446\n", - " 0.281989\n", - " 0.427108\n", - " \n", - " \n", - " 233\n", - " (soft-ripened)\n", - " (cow, soft)\n", - " 0.108772\n", - " 0.200000\n", - " 0.066667\n", - " 0.612903\n", - " 3.064516\n", - " 1.0\n", - " 0.044912\n", - " 2.066667\n", - " 0.755906\n", - " 0.275362\n", - " 0.516129\n", - " 0.473118\n", - " \n", - " \n", - " 234\n", - " (cow, bloomy)\n", - " (soft)\n", - " 0.057895\n", - " 0.328947\n", - " 0.054386\n", - " 0.939394\n", - " 2.855758\n", - " 1.0\n", - " 0.035342\n", - " 11.072368\n", - " 0.689764\n", - " 0.163588\n", - " 0.909685\n", - " 0.552364\n", - " \n", - " \n", - " 235\n", - " (bloomy, soft)\n", - " (cow)\n", - " 0.067544\n", - " 0.655263\n", - " 0.054386\n", - " 0.805195\n", - " 1.228811\n", - " 1.0\n", - " 0.010127\n", - " 1.769649\n", - " 0.199694\n", - " 0.081365\n", - " 0.434916\n", - " 0.444097\n", - " \n", - " \n", - " 236\n", - " (bloomy)\n", - " (cow, soft)\n", - " 0.079825\n", - " 0.200000\n", - " 0.054386\n", - " 0.681319\n", - " 3.406593\n", - " 1.0\n", - " 0.038421\n", - " 2.510345\n", - " 0.767736\n", - " 0.241245\n", - " 0.601648\n", - " 0.476624\n", - " \n", - " \n", - " 237\n", - " (smooth, soft)\n", - " (cow)\n", - " 0.124561\n", - " 0.655263\n", - " 0.076316\n", - " 0.612676\n", - " 0.935008\n", - " 1.0\n", - " -0.005305\n", - " 0.890048\n", - " -0.073560\n", - " 0.108479\n", - " -0.123535\n", - " 0.364571\n", - " \n", - " \n", - " 238\n", - " (soft, artisan)\n", - " (cow)\n", - " 0.153509\n", - " 0.655263\n", - " 0.085088\n", - " 0.554286\n", - " 0.845898\n", - " 1.0\n", - " -0.015501\n", - " 0.773448\n", - " -0.177099\n", - " 0.117576\n", - " -0.292912\n", - " 0.342069\n", - " \n", - " \n", - " 239\n", - " (smooth, pale yellow)\n", - " (cow)\n", - " 0.065789\n", - " 0.655263\n", - " 0.052632\n", - " 0.800000\n", - " 1.220884\n", - " 1.0\n", - " 0.009522\n", - " 1.723684\n", - " 0.193662\n", - " 0.078740\n", - " 0.419847\n", - " 0.440161\n", - " \n", - " \n", - " 240\n", - " (natural, smooth)\n", - " (cow)\n", - " 0.103509\n", - " 0.655263\n", - 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0.536232\n", - " 1.445164\n", - " 1.0\n", - " 0.019995\n", - " 1.356168\n", - " 0.350461\n", - " 0.151951\n", - " 0.262628\n", - " 0.355586\n", - " \n", - " \n", - " 294\n", - " (sweet, cow, creamy)\n", - " (artisan)\n", - " 0.091228\n", - " 0.541228\n", - " 0.050000\n", - " 0.548077\n", - " 1.012654\n", - " 1.0\n", - " 0.000625\n", - " 1.015155\n", - " 0.013751\n", - " 0.085843\n", - " 0.014929\n", - " 0.320230\n", - " \n", - " \n", - " 295\n", - " (sweet, cow, artisan)\n", + " 45\n", + " (pale yellow)\n", " (creamy)\n", - " 0.086842\n", + " 0.227193\n", " 0.560526\n", - " 0.050000\n", - " 0.575758\n", - " 1.027173\n", + " 0.124561\n", + " 0.548263\n", + " 0.978121\n", " 1.0\n", - " 0.001323\n", - " 1.035902\n", - " 0.028970\n", - " 0.083700\n", - " 0.034658\n", - " 0.332480\n", + " -0.002786\n", + " 0.972852\n", + " -0.028130\n", + " 0.187831\n", + " -0.027906\n", + " 0.385242\n", " \n", " \n", - " 296\n", - " (sweet, creamy, artisan)\n", - " (cow)\n", - " 0.083333\n", - " 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(cow)\n", - " 0.061404\n", - " 0.655263\n", - " 0.050000\n", - " 0.814286\n", - " 1.242685\n", - " 1.0\n", - " 0.009765\n", - " 1.856275\n", - " 0.208067\n", - " 0.075000\n", - " 0.461287\n", - " 0.445295\n", - " \n", - " \n", - " 300\n", - " (semi-hard, creamy)\n", - " (cow, natural)\n", - " 0.092982\n", + " 35\n", + " (natural, cow)\n", + " (creamy)\n", " 0.250000\n", - " 0.050000\n", - " 0.537736\n", - " 2.150943\n", - " 1.0\n", - " 0.026754\n", - " 1.622449\n", - " 0.589942\n", - " 0.170659\n", - " 0.383648\n", - " 0.368868\n", - " \n", - " \n", - " 301\n", - " (cow, semi-hard, natural)\n", - " (artisan)\n", - " 0.079825\n", - " 0.541228\n", - " 0.050877\n", - " 0.637363\n", - " 1.177623\n", - " 1.0\n", - " 0.007674\n", - " 1.265098\n", - " 0.163916\n", - " 0.089231\n", - " 0.209548\n", - " 0.365683\n", - " \n", - " \n", - " 302\n", - " (cow, semi-hard, artisan)\n", - " (natural)\n", - " 0.085088\n", - " 0.371053\n", - " 0.050877\n", - " 0.597938\n", - " 1.611465\n", - " 1.0\n", - " 0.019305\n", - " 1.564305\n", - " 0.414735\n", - " 0.125541\n", - " 0.360738\n", - " 0.367527\n", - " \n", - " \n", - " 303\n", - " (natural, semi-hard, artisan)\n", - " (cow)\n", - " 0.077193\n", - " 0.655263\n", - " 0.050877\n", - " 0.659091\n", - " 1.005842\n", - " 1.0\n", - " 0.000295\n", - " 1.011228\n", - " 0.006293\n", - " 0.074646\n", - " 0.011103\n", - " 0.368367\n", - " \n", - " \n", - " 304\n", - " (cow, soft, buttery)\n", - " (creamy)\n", - " 0.068421\n", " 0.560526\n", - " 0.056140\n", - " 0.820513\n", - " 1.463826\n", - " 1.0\n", - " 0.017789\n", - " 2.448496\n", - " 0.340131\n", - " 0.098009\n", - " 0.591586\n", - " 0.460335\n", - " \n", - " \n", - " 305\n", - " (cow, creamy, buttery)\n", - " (soft)\n", - " 0.107895\n", - " 0.328947\n", - " 0.056140\n", - " 0.520325\n", - " 1.581789\n", - " 1.0\n", - " 0.020649\n", - " 1.398974\n", - " 0.412288\n", - " 0.147465\n", - " 0.285190\n", - " 0.345496\n", - " \n", - " \n", - " 306\n", - " (soft, creamy, buttery)\n", - " (cow)\n", - " 0.068421\n", - " 0.655263\n", - " 0.056140\n", - " 0.820513\n", - " 1.252188\n", - " 1.0\n", - " 0.011307\n", - " 1.920677\n", - " 0.216190\n", - " 0.084100\n", - " 0.479350\n", - " 0.453094\n", - " \n", - " \n", - " 307\n", - " (soft, buttery)\n", - " (cow, creamy)\n", - " 0.085088\n", - " 0.378070\n", - " 0.056140\n", - " 0.659794\n", - " 1.745162\n", - " 1.0\n", - " 0.023971\n", - " 1.828097\n", - " 0.466698\n", - " 0.137931\n", - " 0.452983\n", - " 0.404143\n", - " \n", - " \n", - " 308\n", - " (cow, buttery, artisan)\n", - " (creamy)\n", - " 0.083333\n", - " 0.560526\n", - " 0.055263\n", - " 0.663158\n", - " 1.183099\n", - " 1.0\n", - " 0.008553\n", - " 1.304688\n", - " 0.168831\n", - " 0.093890\n", - " 0.233533\n", - " 0.380875\n", - " \n", - " \n", - " 309\n", - " (cow, creamy, buttery)\n", - " (artisan)\n", - " 0.107895\n", - " 0.541228\n", - " 0.055263\n", - " 0.512195\n", - " 0.946357\n", - " 1.0\n", - " -0.003133\n", - " 0.940482\n", - " -0.059743\n", - " 0.093058\n", - " -0.063284\n", - " 0.307151\n", - " \n", - " \n", - " 310\n", - " (buttery, creamy, artisan)\n", - " (cow)\n", - " 0.066667\n", - " 0.655263\n", - " 0.055263\n", - " 0.828947\n", - " 1.265060\n", - " 1.0\n", - " 0.011579\n", - " 2.015385\n", - " 0.224490\n", - " 0.082895\n", - " 0.503817\n", - " 0.456642\n", - " \n", - " \n", - " 311\n", - " (buttery, artisan)\n", - " (cow, creamy)\n", - " 0.103509\n", - " 0.378070\n", - " 0.055263\n", - " 0.533898\n", - " 1.412167\n", - " 1.0\n", - " 0.016130\n", - " 1.334322\n", - " 0.325568\n", - " 0.129630\n", - " 0.250556\n", - " 0.340035\n", - " \n", - " \n", - " 312\n", - " (cow, soft, soft-ripened)\n", - " (creamy)\n", - " 0.066667\n", - " 0.560526\n", - " 0.057018\n", - " 0.855263\n", - " 1.525822\n", - " 1.0\n", - " 0.019649\n", - " 3.036364\n", - " 0.369231\n", - " 0.100000\n", - " 0.670659\n", - " 0.478492\n", - " \n", - " \n", - " 313\n", - " (cow, soft-ripened, creamy)\n", - " (soft)\n", - " 0.062281\n", - " 0.328947\n", - " 0.057018\n", - " 0.915493\n", - " 2.783099\n", - " 1.0\n", - " 0.036530\n", - " 7.940789\n", - " 0.683241\n", - " 0.170604\n", - " 0.874068\n", - " 0.544413\n", - " \n", - " \n", - " 314\n", - " (soft, soft-ripened, creamy)\n", - " (cow)\n", - " 0.070175\n", - " 0.655263\n", - " 0.057018\n", - " 0.812500\n", - " 1.239960\n", - " 1.0\n", - " 0.011034\n", - " 1.838596\n", - " 0.208128\n", - " 0.085302\n", - " 0.456107\n", - " 0.449757\n", - " \n", - " \n", - " 315\n", - " (cow, soft-ripened)\n", - " (soft, creamy)\n", - " 0.075439\n", - " 0.228070\n", - " 0.057018\n", - " 0.755814\n", - " 3.313953\n", - " 1.0\n", - " 0.039812\n", - " 3.161236\n", - " 0.755218\n", - " 0.231317\n", - " 0.683668\n", - " 0.502907\n", - " \n", - " \n", - " 316\n", - " (soft, soft-ripened)\n", - " (cow, creamy)\n", - " 0.088596\n", - " 0.378070\n", - " 0.057018\n", - " 0.643564\n", - " 1.702235\n", - " 1.0\n", - " 0.023522\n", - " 1.744859\n", - " 0.452639\n", - " 0.139186\n", - " 0.426888\n", - " 0.397188\n", - " \n", - " \n", - " 317\n", - " (soft-ripened, creamy)\n", - " (cow, soft)\n", - " 0.084211\n", - " 0.200000\n", - " 0.057018\n", - " 0.677083\n", - " 3.385417\n", - " 1.0\n", - " 0.040175\n", - " 2.477419\n", - " 0.769408\n", - " 0.250965\n", - " 0.596354\n", - " 0.481086\n", - " \n", - " \n", - " 318\n", - " (soft-ripened)\n", - " (cow, soft, creamy)\n", - " 0.108772\n", - " 0.145614\n", - " 0.057018\n", - " 0.524194\n", - " 3.599883\n", - " 1.0\n", - " 0.041179\n", - " 1.795659\n", - " 0.810357\n", - " 0.288889\n", - " 0.443101\n", - " 0.457880\n", - " \n", - " \n", - " 319\n", - " (cow, smooth, soft)\n", - " (creamy)\n", - " 0.076316\n", - " 0.560526\n", - " 0.057895\n", - " 0.758621\n", - " 1.353408\n", - " 1.0\n", - " 0.015118\n", - " 1.820677\n", - " 0.282699\n", - " 0.100000\n", - " 0.450754\n", - " 0.430954\n", - " \n", - " \n", - " 320\n", - " (smooth, soft, creamy)\n", - " (cow)\n", - " 0.086842\n", - " 0.655263\n", - " 0.057895\n", - " 0.666667\n", - " 1.017403\n", - " 1.0\n", - " 0.000990\n", - " 1.034211\n", - " 0.018732\n", - " 0.084615\n", - " 0.033079\n", - " 0.377510\n", - " \n", - " \n", - " 321\n", - " (cow, soft, artisan)\n", - " (creamy)\n", - " 0.085088\n", - " 0.560526\n", - " 0.059649\n", - " 0.701031\n", - " 1.250666\n", - " 1.0\n", - " 0.011955\n", - " 1.469964\n", - " 0.219065\n", - " 0.101796\n", - " 0.319711\n", - " 0.403724\n", - " \n", - " \n", - " 322\n", - " (soft, creamy, artisan)\n", - " (cow)\n", - " 0.106140\n", - " 0.655263\n", - " 0.059649\n", - " 0.561983\n", - " 0.857645\n", - " 1.0\n", - " -0.009901\n", - " 0.787041\n", - " -0.156611\n", - " 0.085000\n", - " -0.270582\n", - " 0.326507\n", - " \n", - " \n", - " 323\n", - " (cow, smooth, creamy)\n", - " (artisan)\n", - " 0.130702\n", - " 0.541228\n", - " 0.070175\n", - " 0.536913\n", - " 0.992027\n", - " 1.0\n", - " -0.000564\n", - " 0.990681\n", - " -0.009161\n", - " 0.116618\n", - " -0.009406\n", - " 0.333286\n", - " \n", - " \n", - " 324\n", - " (cow, smooth, artisan)\n", - " (creamy)\n", - " 0.099123\n", - " 0.560526\n", - " 0.070175\n", - " 0.707965\n", - " 1.263035\n", - " 1.0\n", - " 0.014614\n", - " 1.504864\n", - " 0.231171\n", - " 0.119048\n", - " 0.335488\n", - " 0.416580\n", - " \n", - " \n", - " 325\n", - " (smooth, creamy, artisan)\n", - " (cow)\n", - " 0.108772\n", - " 0.655263\n", - " 0.070175\n", - " 0.645161\n", - " 0.984583\n", - " 1.0\n", - " -0.001099\n", - " 0.971531\n", - " -0.017266\n", - " 0.101138\n", - " -0.029303\n", - " 0.376128\n", - " \n", - " \n", - " 326\n", - " (cow, pale yellow, artisan)\n", - " (creamy)\n", - " 0.110526\n", - " 0.560526\n", - " 0.059649\n", - " 0.539683\n", - " 0.962814\n", - " 1.0\n", - " -0.002304\n", - " 0.954719\n", - " -0.041615\n", - " 0.097561\n", - " -0.047429\n", - " 0.323049\n", - " \n", - " \n", - " 327\n", - " (cow, creamy, pale yellow)\n", - " (artisan)\n", - " 0.100000\n", - " 0.541228\n", - " 0.059649\n", - " 0.596491\n", - " 1.102107\n", - " 1.0\n", - " 0.005526\n", - " 1.136957\n", - " 0.102941\n", - " 0.102564\n", - " 0.120459\n", - " 0.353351\n", - " \n", - " \n", - " 328\n", - " (pale yellow, creamy, artisan)\n", - " (cow)\n", - " 0.076316\n", - " 0.655263\n", - " 0.059649\n", - " 0.781609\n", - " 1.192817\n", - " 1.0\n", - " 0.009642\n", - " 1.578532\n", - " 0.175004\n", - " 0.088773\n", - " 0.366500\n", - " 0.436320\n", - " \n", - " \n", - " 329\n", - " (natural, cow, creamy)\n", - " (artisan)\n", " 0.135088\n", - " 0.541228\n", - " 0.085088\n", - " 0.629870\n", - " 1.163779\n", + " 0.540351\n", + " 0.964006\n", " 1.0\n", - " 0.011974\n", - " 1.239489\n", - " 0.162711\n", - " 0.143917\n", - " 0.193216\n", - " 0.393541\n", + " -0.005044\n", + " 0.956107\n", + " -0.047423\n", + " 0.200000\n", + " -0.045908\n", + " 0.390676\n", " \n", " \n", - " 330\n", - " (natural, cow, artisan)\n", - " (creamy)\n", - " 0.151754\n", - " 0.560526\n", - " 0.085088\n", - " 0.560694\n", - " 1.000299\n", + " 70\n", + " (crumbly)\n", + " (natural)\n", + " 0.188596\n", + " 0.371053\n", + " 0.101754\n", + " 0.539535\n", + " 1.454066\n", " 1.0\n", - " 0.000025\n", - " 1.000381\n", - " 0.000352\n", - " 0.135664\n", - " 0.000381\n", - " 0.356247\n", + " 0.031775\n", + " 1.365896\n", + " 0.384856\n", + " 0.222222\n", + " 0.267880\n", + " 0.406883\n", " \n", " \n", - " 331\n", - " (natural, creamy, artisan)\n", - " (cow)\n", - " 0.121053\n", - " 0.655263\n", - " 0.085088\n", - " 0.702899\n", - " 1.072697\n", - " 1.0\n", - " 0.005766\n", - " 1.160334\n", - " 0.077104\n", - " 0.123096\n", - " 0.138179\n", - " 0.416376\n", - " \n", - " \n", - " 332\n", - " (cow, semi-soft, creamy)\n", + " 62\n", + " (mild)\n", " (artisan)\n", - " 0.104386\n", + " 0.198246\n", " 0.541228\n", - " 0.054386\n", - " 0.521008\n", - " 0.962641\n", - " 1.0\n", - " -0.002111\n", - " 0.957787\n", - " -0.041532\n", - " 0.091988\n", - " -0.044073\n", - " 0.310747\n", - " \n", - " \n", - " 333\n", - " (cow, semi-soft, artisan)\n", - " (creamy)\n", - " 0.072807\n", - " 0.560526\n", - " 0.054386\n", - " 0.746988\n", - " 1.332655\n", - " 1.0\n", - " 0.013576\n", - " 1.736967\n", - " 0.269219\n", - " 0.093939\n", - " 0.424284\n", - " 0.422007\n", - " \n", - " \n", - " 334\n", - " (artisan, semi-soft, creamy)\n", - " (cow)\n", - " 0.086842\n", - " 0.655263\n", - " 0.054386\n", - " 0.626263\n", - " 0.955742\n", - " 1.0\n", - " -0.002518\n", - " 0.922404\n", - " -0.048264\n", - " 0.079082\n", - " -0.084124\n", - " 0.354631\n", - " \n", - " \n", - " 335\n", - " (natural, cow, pale yellow)\n", - " (artisan)\n", - " 0.078947\n", - " 0.541228\n", - " 0.054386\n", - " 0.688889\n", - " 1.272825\n", - " 1.0\n", - " 0.011657\n", - " 1.474624\n", - " 0.232719\n", - " 0.096124\n", - " 0.321861\n", - " 0.394688\n", - " \n", - " \n", - " 336\n", - " (natural, artisan, pale yellow)\n", - " (cow)\n", - " 0.074561\n", - " 0.655263\n", - " 0.054386\n", - " 0.729412\n", - " 1.113159\n", - " 1.0\n", - " 0.005529\n", - " 1.274027\n", - " 0.109846\n", - " 0.080519\n", - " 0.215088\n", - " 0.406205\n", - " \n", - " \n", - " 337\n", - " (natural, pale yellow)\n", - " (cow, artisan)\n", " 0.106140\n", - " 0.331579\n", - " 0.054386\n", - " 0.512397\n", - " 1.545323\n", + " 0.535398\n", + " 0.989228\n", " 1.0\n", - " 0.019192\n", - " 1.370830\n", - " 0.394789\n", - " 0.141876\n", - " 0.270515\n", - " 0.338209\n", + " -0.001156\n", + " 0.987452\n", + " -0.013399\n", + " 0.167590\n", + " -0.012707\n", + " 0.365754\n", " \n", " \n", - " 338\n", - " (natural, cow, hard)\n", + " 61\n", + " (buttery)\n", + " (creamy, cow)\n", + " 0.203509\n", + " 0.378070\n", + " 0.107895\n", + " 0.530172\n", + " 1.402312\n", + " 1.0\n", + " 0.030954\n", + " 1.323741\n", + " 0.360195\n", + " 0.227778\n", + " 0.244565\n", + " 0.407778\n", + " \n", + " \n", + " 13\n", + " (creamy, cow)\n", " (artisan)\n", - " 0.078947\n", + " 0.378070\n", " 0.541228\n", - " 0.054386\n", - " 0.688889\n", - " 1.272825\n", + " 0.192982\n", + " 0.510441\n", + " 0.943116\n", " 1.0\n", - " 0.011657\n", - " 1.474624\n", - " 0.232719\n", - " 0.096124\n", - " 0.321861\n", - " 0.394688\n", + " -0.011640\n", + " 0.937112\n", + " -0.088407\n", + " 0.265700\n", + " -0.067108\n", + " 0.433502\n", " \n", " \n", - " 339\n", - " (natural, hard, artisan)\n", - " (cow)\n", - " 0.069298\n", - " 0.655263\n", - " 0.054386\n", - " 0.784810\n", - " 1.197702\n", - " 1.0\n", - " 0.008977\n", - " 1.602012\n", - " 0.177359\n", - " 0.081152\n", - " 0.375785\n", - " 0.433904\n", - " \n", - " \n", - " 340\n", - " (cow, hard, artisan)\n", - " (natural)\n", - " 0.082456\n", - " 0.371053\n", - " 0.054386\n", - " 0.659574\n", - " 1.777577\n", - " 1.0\n", - " 0.023790\n", - " 1.847533\n", - " 0.476747\n", - " 0.136264\n", - " 0.458738\n", - " 0.403073\n", - " \n", - " \n", - " 341\n", - " (natural, hard)\n", - " (cow, artisan)\n", + " 67\n", + " (buttery)\n", + " (artisan)\n", + " 0.203509\n", + " 0.541228\n", " 0.103509\n", - " 0.331579\n", - " 0.054386\n", - " 0.525424\n", - " 1.584611\n", + " 0.508621\n", + " 0.939753\n", " 1.0\n", - " 0.020065\n", - " 1.408459\n", - " 0.411527\n", - " 0.142857\n", - " 0.290004\n", - " 0.344722\n", + " -0.006636\n", + " 0.933641\n", + " -0.074494\n", + " 0.161423\n", + " -0.071075\n", + " 0.349934\n", " \n", " \n", - " 342\n", - " (natural, cow, nutty)\n", - " (artisan)\n", - " 0.068421\n", - " 0.541228\n", - " 0.050000\n", - " 0.730769\n", - " 1.350206\n", + " 49\n", + " (artisan, natural)\n", + " (creamy)\n", + " 0.238596\n", + " 0.560526\n", + " 0.121053\n", + " 0.507353\n", + " 0.905137\n", " 1.0\n", - " 0.012969\n", - " 1.704010\n", - " 0.278422\n", - " 0.089342\n", - " 0.413149\n", - " 0.411576\n", + " -0.012687\n", + " 0.892066\n", + " -0.120993\n", + " 0.178525\n", + " -0.120993\n", + " 0.361658\n", " \n", " \n", - " 343\n", - " (natural, nutty, artisan)\n", + " 3\n", " (cow)\n", - " 0.064912\n", + " (artisan)\n", " 0.655263\n", - " 0.050000\n", - " 0.770270\n", - " 1.175513\n", - " 1.0\n", - " 0.007465\n", - " 1.500619\n", - " 0.159672\n", - " 0.074607\n", - " 0.333608\n", - " 0.423288\n", - " \n", - " \n", - " 344\n", - " (cow, nutty, artisan)\n", - " (natural)\n", - " 0.081579\n", - " 0.371053\n", - " 0.050000\n", - " 0.612903\n", - " 1.651796\n", - " 1.0\n", - " 0.019730\n", - " 1.624781\n", - " 0.429649\n", - " 0.124183\n", - " 0.384532\n", - " 0.373827\n", - " \n", - " \n", - " 345\n", - " (natural, nutty)\n", - " (cow, artisan)\n", - " 0.091228\n", + " 0.541228\n", " 0.331579\n", - " 0.050000\n", - " 0.548077\n", - " 1.652930\n", + " 0.506024\n", + " 0.934955\n", " 1.0\n", - " 0.019751\n", - " 1.479059\n", - " 0.434668\n", - " 0.134118\n", - " 0.323895\n", - " 0.349435\n", + " -0.023068\n", + " 0.928733\n", + " -0.167919\n", + " 0.383367\n", + " -0.076735\n", + " 0.559333\n", " \n", " \n", "" @@ -24636,13 +13200,13 @@ ], "source": [ "assoc_rules = association_rules(frequent_itemsets, min_threshold=.5)\n", - "\n", + "assoc_rules=assoc_rules.sort_values(by=['confidence'], ascending=False)\n", "display(HTML(assoc_rules.to_html()))" ] }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 46, "id": "a3a2a838-bc56-4de8-ac5d-f1c3327f5447", "metadata": {}, "outputs": [ @@ -24685,24 +13249,24 @@ " \n", " \n", " \n", - " 1\n", - " (sweet)\n", + " 2\n", + " (pale yellow)\n", " (cow)\n", - " 0.254386\n", + " 0.227193\n", " 0.655263\n", - " 0.160526\n", - " 0.631034\n", - " 0.963025\n", + " 0.178070\n", + " 0.783784\n", + " 1.196136\n", " 1.0\n", - " -0.006163\n", - " 0.934333\n", - " -0.048973\n", - " 0.214286\n", - " -0.070282\n", - " 0.438007\n", + " 0.029199\n", + " 1.594408\n", + " 0.212181\n", + " 0.252802\n", + " 0.372808\n", + " 0.527769\n", " \n", " \n", - " 3\n", + " 5\n", " (semi-hard)\n", " (cow)\n", " 0.195614\n", @@ -24719,7 +13283,75 @@ " 0.477485\n", " \n", " \n", - " 8\n", + " 6\n", + " (rich)\n", + " (cow)\n", + " 0.135088\n", + " 0.655263\n", + " 0.109649\n", + " 0.811688\n", + " 1.238721\n", + " 1.0\n", + " 0.021131\n", + " 1.830672\n", + " 0.222815\n", + " 0.161082\n", + " 0.453752\n", + " 0.489512\n", + " \n", + " \n", + " 9\n", + " (crumbly)\n", + " (cow)\n", + " 0.188596\n", + " 0.655263\n", + " 0.124561\n", + " 0.660465\n", + " 1.007939\n", + " 1.0\n", + " 0.000981\n", + " 1.015321\n", + " 0.009707\n", + " 0.173171\n", + " 0.015090\n", + " 0.425279\n", + " \n", + " \n", + " 14\n", + " (sweet)\n", + " (cow)\n", + " 0.254386\n", + " 0.655263\n", + " 0.160526\n", + " 0.631034\n", + " 0.963025\n", + " 1.0\n", + " -0.006163\n", + " 0.934333\n", + " -0.048973\n", + " 0.214286\n", + " -0.070282\n", + " 0.438007\n", + " \n", + " \n", + " 19\n", + " (artisan)\n", + " (cow)\n", + " 0.541228\n", + " 0.655263\n", + " 0.331579\n", + " 0.612642\n", + " 0.934955\n", + " 1.0\n", + " -0.023068\n", + " 0.889969\n", + " -0.131676\n", + " 0.383367\n", + " -0.123634\n", + " 0.559333\n", + " \n", + " \n", + " 29\n", " (creamy)\n", " (cow)\n", " 0.560526\n", @@ -24736,24 +13368,92 @@ " 0.625733\n", " \n", " \n", - " 32\n", - " (milky)\n", + " 37\n", + " (natural)\n", " (cow)\n", - " 0.100877\n", + " 0.371053\n", " 0.655263\n", - " 0.064035\n", - " 0.634783\n", - " 0.968745\n", + " 0.250000\n", + " 0.673759\n", + " 1.028226\n", " 1.0\n", - " -0.002066\n", - " 0.943922\n", - " -0.034641\n", - " 0.092522\n", - " -0.059409\n", - " 0.366253\n", + " 0.006863\n", + " 1.056693\n", + " 0.043647\n", + " 0.322034\n", + " 0.053652\n", + " 0.527642\n", " \n", " \n", - " 34\n", + " 39\n", + " (nutty)\n", + " (cow)\n", + " 0.203509\n", + " 0.655263\n", + " 0.142105\n", + " 0.698276\n", + " 1.065642\n", + " 1.0\n", + " 0.008753\n", + " 1.142556\n", + " 0.077337\n", + " 0.198286\n", + " 0.124770\n", + " 0.457572\n", + " \n", + " \n", + " 40\n", + " (buttery)\n", + " (cow)\n", + " 0.203509\n", + " 0.655263\n", + " 0.163158\n", + " 0.801724\n", + " 1.223515\n", + " 1.0\n", + " 0.029806\n", + " 1.738673\n", + " 0.229359\n", + " 0.234552\n", + " 0.424849\n", + " 0.525360\n", + " \n", + " \n", + " 41\n", + " (spicy)\n", + " (cow)\n", + " 0.135088\n", + " 0.655263\n", + " 0.103509\n", + " 0.766234\n", + " 1.169353\n", + " 1.0\n", + " 0.014991\n", + " 1.474708\n", + " 0.167446\n", + " 0.150702\n", + " 0.321899\n", + " 0.462099\n", + " \n", + " \n", + " 42\n", + " (semi-soft)\n", + " (cow)\n", + " 0.228947\n", + " 0.655263\n", + " 0.153509\n", + " 0.670498\n", + " 1.023250\n", + " 1.0\n", + " 0.003488\n", + " 1.046236\n", + " 0.029469\n", + " 0.210084\n", + " 0.044193\n", + " 0.452384\n", + " \n", + " \n", + " 43\n", " (firm)\n", " (cow)\n", " 0.221053\n", @@ -24770,156 +13470,337 @@ " 0.435169\n", " \n", " \n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " \n", - " \n", - " 337\n", - " (natural, pale yellow)\n", - " (cow, artisan)\n", - " 0.106140\n", - " 0.331579\n", - " 0.054386\n", - " 0.512397\n", - " 1.545323\n", - " 1.0\n", - " 0.019192\n", - " 1.370830\n", - " 0.394789\n", - " 0.141876\n", - " 0.270515\n", - " 0.338209\n", - " \n", - " \n", - " 339\n", - " (natural, hard, artisan)\n", + " 44\n", + " (mild)\n", " (cow)\n", - " 0.069298\n", + " 0.198246\n", " 0.655263\n", - " 0.054386\n", - " 0.784810\n", - " 1.197702\n", + " 0.126316\n", + " 0.637168\n", + " 0.972385\n", " 1.0\n", - " 0.008977\n", - " 1.602012\n", - " 0.177359\n", - " 0.081152\n", - " 0.375785\n", - " 0.433904\n", + " -0.003587\n", + " 0.950128\n", + " -0.034209\n", + " 0.173703\n", + " -0.052489\n", + " 0.414970\n", " \n", " \n", - " 341\n", - " (natural, hard)\n", - " (cow, artisan)\n", - " 0.103509\n", - " 0.331579\n", - " 0.054386\n", - " 0.525424\n", - " 1.584611\n", - " 1.0\n", - " 0.020065\n", - " 1.408459\n", - " 0.411527\n", - " 0.142857\n", - " 0.290004\n", - " 0.344722\n", - " \n", - " \n", - " 343\n", - " (natural, nutty, artisan)\n", + " 45\n", + " (hard)\n", " (cow)\n", - " 0.064912\n", + " 0.188596\n", " 0.655263\n", - " 0.050000\n", - " 0.770270\n", - " 1.175513\n", + " 0.142982\n", + " 0.758140\n", + " 1.157000\n", " 1.0\n", - " 0.007465\n", - " 1.500619\n", - " 0.159672\n", - " 0.074607\n", - " 0.333608\n", - " 0.423288\n", + " 0.019402\n", + " 1.425354\n", + " 0.167236\n", + " 0.204005\n", + " 0.298420\n", + " 0.488173\n", " \n", " \n", - " 345\n", - " (natural, nutty)\n", - " (cow, artisan)\n", - " 0.091228\n", - " 0.331579\n", - " 0.050000\n", - " 0.548077\n", - " 1.652930\n", + " 46\n", + " (smooth)\n", + " (cow)\n", + " 0.298246\n", + " 0.655263\n", + " 0.187719\n", + " 0.629412\n", + " 0.960548\n", " 1.0\n", - " 0.019751\n", - " 1.479059\n", - " 0.434668\n", - " 0.134118\n", - " 0.323895\n", - " 0.349435\n", + " -0.007710\n", + " 0.930242\n", + " -0.055292\n", + " 0.245132\n", + " -0.074989\n", + " 0.457946\n", + " \n", + " \n", + " 47\n", + " (soft)\n", + " (cow)\n", + " 0.328947\n", + " 0.655263\n", + " 0.200000\n", + " 0.608000\n", + " 0.927871\n", + " 1.0\n", + " -0.015547\n", + " 0.879431\n", + " -0.103815\n", + " 0.255034\n", + " 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0.970647\n", + " 1.0\n", + " -0.004589\n", + " 0.947156\n", + " -0.038199\n", + " 0.204492\n", + " -0.055793\n", + " 0.433811\n", + " \n", + " \n", + " 62\n", + " (natural, creamy)\n", + " (cow)\n", + " 0.184211\n", + " 0.655263\n", + " 0.135088\n", + " 0.733333\n", + " 1.119143\n", + " 1.0\n", + " 0.014381\n", + " 1.292763\n", + " 0.130499\n", + " 0.191781\n", + " 0.226463\n", + " 0.469746\n", + " \n", + " \n", + " 64\n", + " (buttery, creamy)\n", + " (cow)\n", + " 0.131579\n", + " 0.655263\n", + " 0.107895\n", + " 0.820000\n", + " 1.251406\n", + " 1.0\n", + " 0.021676\n", + " 1.915205\n", + " 0.231338\n", + " 0.158915\n", + " 0.477863\n", + " 0.492329\n", + " \n", + " \n", + " 66\n", + " (buttery)\n", + " (creamy, cow)\n", + " 0.203509\n", + " 0.378070\n", + " 0.107895\n", + " 0.530172\n", + " 1.402312\n", + " 1.0\n", + " 0.030954\n", + " 1.323741\n", + " 0.360195\n", + " 0.227778\n", + " 0.244565\n", + " 0.407778\n", + " \n", + " \n", + " 67\n", + " (semi-soft, creamy)\n", + " (cow)\n", + " 0.151754\n", + " 0.655263\n", + " 0.104386\n", + " 0.687861\n", + " 1.049748\n", + " 1.0\n", + " 0.004947\n", + " 1.104435\n", + " 0.055869\n", + " 0.148564\n", + " 0.094559\n", + " 0.423583\n", + " \n", + " \n", + " 69\n", + " (creamy, smooth)\n", + " (cow)\n", + " 0.193860\n", + " 0.655263\n", + " 0.130702\n", + " 0.674208\n", + " 1.028912\n", + " 1.0\n", + " 0.003673\n", + " 1.058151\n", + " 0.034857\n", + " 0.181929\n", + " 0.054955\n", + " 0.436836\n", + " \n", + " \n", + " 71\n", + " (soft, creamy)\n", + " (cow)\n", + " 0.228070\n", + " 0.655263\n", + " 0.145614\n", + " 0.638462\n", + " 0.974359\n", + " 1.0\n", + " -0.003832\n", + " 0.953527\n", + " -0.032967\n", + " 0.197384\n", + " -0.048738\n", + " 0.430342\n", " \n", " \n", "\n", - "

131 rows × 14 columns

\n", "" ], "text/plain": [ - " antecedents consequents antecedent support \\\n", - "1 (sweet) (cow) 0.254386 \n", - "3 (semi-hard) (cow) 0.195614 \n", - "8 (creamy) (cow) 0.560526 \n", - "32 (milky) (cow) 0.100877 \n", - "34 (firm) (cow) 0.221053 \n", - ".. ... ... ... \n", - "337 (natural, pale yellow) (cow, artisan) 0.106140 \n", - "339 (natural, hard, artisan) (cow) 0.069298 \n", - "341 (natural, hard) (cow, artisan) 0.103509 \n", - "343 (natural, nutty, artisan) (cow) 0.064912 \n", - "345 (natural, nutty) (cow, artisan) 0.091228 \n", + " antecedents consequents antecedent support \\\n", + "2 (pale yellow) (cow) 0.227193 \n", + "5 (semi-hard) (cow) 0.195614 \n", + "6 (rich) (cow) 0.135088 \n", + "9 (crumbly) (cow) 0.188596 \n", + "14 (sweet) (cow) 0.254386 \n", + "19 (artisan) (cow) 0.541228 \n", + "29 (creamy) (cow) 0.560526 \n", + "37 (natural) (cow) 0.371053 \n", + "39 (nutty) (cow) 0.203509 \n", + "40 (buttery) (cow) 0.203509 \n", + "41 (spicy) (cow) 0.135088 \n", + "42 (semi-soft) (cow) 0.228947 \n", + "43 (firm) (cow) 0.221053 \n", + "44 (mild) (cow) 0.198246 \n", + "45 (hard) (cow) 0.188596 \n", + "46 (smooth) (cow) 0.298246 \n", + "47 (soft) (cow) 0.328947 \n", + "48 (artisan, pale yellow) (cow) 0.142982 \n", + "51 (pale yellow, creamy) (cow) 0.124561 \n", + "54 (artisan, creamy) (cow) 0.306140 \n", + "60 (artisan, natural) (cow) 0.238596 \n", + "62 (natural, creamy) (cow) 0.184211 \n", + "64 (buttery, creamy) (cow) 0.131579 \n", + "66 (buttery) (creamy, cow) 0.203509 \n", + "67 (semi-soft, creamy) (cow) 0.151754 \n", + "69 (creamy, smooth) (cow) 0.193860 \n", + "71 (soft, creamy) (cow) 0.228070 \n", "\n", - " consequent support support confidence lift representativity \\\n", - "1 0.655263 0.160526 0.631034 0.963025 1.0 \n", - "3 0.655263 0.143860 0.735426 1.122337 1.0 \n", - "8 0.655263 0.378070 0.674491 1.029344 1.0 \n", - "32 0.655263 0.064035 0.634783 0.968745 1.0 \n", - "34 0.655263 0.143860 0.650794 0.993179 1.0 \n", - ".. ... ... ... ... ... \n", - "337 0.331579 0.054386 0.512397 1.545323 1.0 \n", - "339 0.655263 0.054386 0.784810 1.197702 1.0 \n", - "341 0.331579 0.054386 0.525424 1.584611 1.0 \n", - "343 0.655263 0.050000 0.770270 1.175513 1.0 \n", - "345 0.331579 0.050000 0.548077 1.652930 1.0 \n", + " consequent support support confidence lift representativity \\\n", + "2 0.655263 0.178070 0.783784 1.196136 1.0 \n", + "5 0.655263 0.143860 0.735426 1.122337 1.0 \n", + "6 0.655263 0.109649 0.811688 1.238721 1.0 \n", + "9 0.655263 0.124561 0.660465 1.007939 1.0 \n", + "14 0.655263 0.160526 0.631034 0.963025 1.0 \n", + "19 0.655263 0.331579 0.612642 0.934955 1.0 \n", + "29 0.655263 0.378070 0.674491 1.029344 1.0 \n", + "37 0.655263 0.250000 0.673759 1.028226 1.0 \n", + "39 0.655263 0.142105 0.698276 1.065642 1.0 \n", + "40 0.655263 0.163158 0.801724 1.223515 1.0 \n", + "41 0.655263 0.103509 0.766234 1.169353 1.0 \n", + "42 0.655263 0.153509 0.670498 1.023250 1.0 \n", + "43 0.655263 0.143860 0.650794 0.993179 1.0 \n", + "44 0.655263 0.126316 0.637168 0.972385 1.0 \n", + "45 0.655263 0.142982 0.758140 1.157000 1.0 \n", + "46 0.655263 0.187719 0.629412 0.960548 1.0 \n", + "47 0.655263 0.200000 0.608000 0.927871 1.0 \n", + "48 0.655263 0.110526 0.773006 1.179688 1.0 \n", + "51 0.655263 0.100000 0.802817 1.225182 1.0 \n", + "54 0.655263 0.192982 0.630372 0.962014 1.0 \n", + "60 0.655263 0.151754 0.636029 0.970647 1.0 \n", + "62 0.655263 0.135088 0.733333 1.119143 1.0 \n", + "64 0.655263 0.107895 0.820000 1.251406 1.0 \n", + "66 0.378070 0.107895 0.530172 1.402312 1.0 \n", + "67 0.655263 0.104386 0.687861 1.049748 1.0 \n", + "69 0.655263 0.130702 0.674208 1.028912 1.0 \n", + "71 0.655263 0.145614 0.638462 0.974359 1.0 \n", "\n", - " leverage conviction zhangs_metric jaccard certainty kulczynski \n", - "1 -0.006163 0.934333 -0.048973 0.214286 -0.070282 0.438007 \n", - "3 0.015681 1.302988 0.135509 0.203474 0.232533 0.477485 \n", - "8 0.010778 1.059071 0.064868 0.451309 0.055777 0.625733 \n", - "32 -0.002066 0.943922 -0.034641 0.092522 -0.059409 0.366253 \n", - "34 -0.000988 0.987201 -0.008740 0.196407 -0.012965 0.435169 \n", - ".. ... ... ... ... ... ... \n", - "337 0.019192 1.370830 0.394789 0.141876 0.270515 0.338209 \n", - "339 0.008977 1.602012 0.177359 0.081152 0.375785 0.433904 \n", - "341 0.020065 1.408459 0.411527 0.142857 0.290004 0.344722 \n", - "343 0.007465 1.500619 0.159672 0.074607 0.333608 0.423288 \n", - "345 0.019751 1.479059 0.434668 0.134118 0.323895 0.349435 \n", - "\n", - "[131 rows x 14 columns]" + " leverage conviction zhangs_metric jaccard certainty kulczynski \n", + "2 0.029199 1.594408 0.212181 0.252802 0.372808 0.527769 \n", + "5 0.015681 1.302988 0.135509 0.203474 0.232533 0.477485 \n", + "6 0.021131 1.830672 0.222815 0.161082 0.453752 0.489512 \n", + "9 0.000981 1.015321 0.009707 0.173171 0.015090 0.425279 \n", + "14 -0.006163 0.934333 -0.048973 0.214286 -0.070282 0.438007 \n", + "19 -0.023068 0.889969 -0.131676 0.383367 -0.123634 0.559333 \n", + "29 0.010778 1.059071 0.064868 0.451309 0.055777 0.625733 \n", + "37 0.006863 1.056693 0.043647 0.322034 0.053652 0.527642 \n", + "39 0.008753 1.142556 0.077337 0.198286 0.124770 0.457572 \n", + "40 0.029806 1.738673 0.229359 0.234552 0.424849 0.525360 \n", + "41 0.014991 1.474708 0.167446 0.150702 0.321899 0.462099 \n", + "42 0.003488 1.046236 0.029469 0.210084 0.044193 0.452384 \n", + "43 -0.000988 0.987201 -0.008740 0.196407 -0.012965 0.435169 \n", + "44 -0.003587 0.950128 -0.034209 0.173703 -0.052489 0.414970 \n", + "45 0.019402 1.425354 0.167236 0.204005 0.298420 0.488173 \n", + "46 -0.007710 0.930242 -0.055292 0.245132 -0.074989 0.457946 \n", + "47 -0.015547 0.879431 -0.103815 0.255034 -0.137099 0.456610 \n", + "48 0.016835 1.518706 0.177731 0.160714 0.341545 0.470840 \n", + "51 0.018380 1.748308 0.209946 0.147097 0.428018 0.477714 \n", + "54 -0.007620 0.932660 -0.053843 0.251142 -0.072202 0.462442 \n", + "60 -0.004589 0.947156 -0.038199 0.204492 -0.055793 0.433811 \n", + "62 0.014381 1.292763 0.130499 0.191781 0.226463 0.469746 \n", + "64 0.021676 1.915205 0.231338 0.158915 0.477863 0.492329 \n", + "66 0.030954 1.323741 0.360195 0.227778 0.244565 0.407778 \n", + "67 0.004947 1.104435 0.055869 0.148564 0.094559 0.423583 \n", + "69 0.003673 1.058151 0.034857 0.181929 0.054955 0.436836 \n", + "71 -0.003832 0.953527 -0.032967 0.197384 -0.048738 0.430342 " ] }, - "execution_count": 27, + "execution_count": 46, "metadata": {}, "output_type": "execute_result" } @@ -24930,11 +13811,24 @@ }, { "cell_type": "code", - "execution_count": null, - "id": "08655466-69b6-4540-935e-bcc1aaa1d9b1", + "execution_count": 53, + "id": "78ef08e7-1436-440f-b035-8b480af1cc7b", "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "data": { + "text/plain": [ + "(38, 1102)" + ] + }, + "execution_count": 53, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(data_features[data_features[\"pecorino\"] == True]), len(data_features[data_features[\"pecorino\"] == False])" + ] }, { "cell_type": "code", @@ -24969,7 +13863,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.3" + "version": "3.13.2" } }, "nbformat": 4,