diff --git a/examples/Basic Usage/Basic Usage.ipynb b/examples/Basic Usage/Basic Usage.ipynb
index 7cc1cd05..806facdd 100644
--- a/examples/Basic Usage/Basic Usage.ipynb	
+++ b/examples/Basic Usage/Basic Usage.ipynb	
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@@ -25,10 +25,16 @@
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+    "# Basic usage of pyElli\n",
     "\n",
-    "# Basic usage\n",
-    "\n",
-    "Basic usage of building a model and fitting it to measurement data of SiO2 on Si.\n"
+    "Basic usage of building a model and fitting it to measurement data of SiO2 on Si."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Import required libraries"
    ]
   },
   {
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     "@fit(psi_delta, params)\n",
     "def model(lbda, params):\n",
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n=r(13916),i=r(67824).overrideAll,a=r(31780).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\")},42456:function(t,e,r){\"use strict\";var n=r(3400),i=r(54460);function a(t,e){var 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a._fullLayout[n]=r[n],i.coercePosition(e,a,l,t,t,.5)}l(\"visible\")&&(o(t,e,a.fullLayout,l),u(\"x\"),u(\"y\"),u(\"z\"),n.noneOrAll(t,e,[\"x\",\"y\",\"z\"]),e.xref=\"x\",e.yref=\"y\",e.zref=\"z\",l(\"xanchor\"),l(\"yanchor\"),l(\"xshift\"),l(\"yshift\"),e.showarrow&&(e.axref=\"pixel\",e.ayref=\"pixel\",l(\"ax\",-10),l(\"ay\",-30),n.noneOrAll(t,e,[\"ax\",\"ay\"])))}t.exports=function(t,e,r){a(t,e,{name:\"annotations\",handleItemDefaults:l,fullLayout:r.fullLayout})}},71836:function(t,e,r){\"use strict\";var n=r(23816).drawRaw,i=r(94424),a=[\"x\",\"y\",\"z\"];t.exports=function(t){for(var e=t.fullSceneLayout,r=t.dataScale,o=e.annotations,s=0;s<o.length;s++){for(var l=o[s],u=!1,c=0;c<3;c++){var f=a[c],h=l[f],p=e[f+\"axis\"].r2fraction(h);if(p<0||p>1){u=!0;break}}u?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))}}},56864:function(t,e,r){\"use strict\";var n=r(24040),i=r(3400);t.exports={moduleType:\"component\",name:\"annotations3d\",schema:{subplots:{scene:{annotations:r(45899)}}},layoutAttributes:r(45899),handleDefaults:r(52808),includeBasePlot:function(t,e){var r=n.subplotsRegistry.gl3d;if(r)for(var a=r.attrRegex,o=Object.keys(t),s=0;s<o.length;s++){var l=o[s];a.test(l)&&(t[l].annotations||[]).length&&(i.pushUnique(e._basePlotModules,r),i.pushUnique(e._subplots.gl3d,l))}},convert:r(42456),draw:r(71836)}},54976:function(t,e,r){\"use 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n=r(94724),i=r(25376),a=r(92880).extendFlat,o=r(67824).overrideAll;t.exports=o({orientation:{valType:\"enumerated\",values:[\"h\",\"v\"],dflt:\"v\"},thicknessmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"pixels\"},thickness:{valType:\"number\",min:0,dflt:30},lenmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"fraction\"},len:{valType:\"number\",min:0,dflt:1},x:{valType:\"number\"},xref:{valType:\"enumerated\",dflt:\"paper\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"]},xpad:{valType:\"number\",min:0,dflt:10},y:{valType:\"number\"},yref:{valType:\"enumerated\",dflt:\"paper\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},yanchor:{valType:\"enumerated\",values:[\"top\",\"middle\",\"bottom\"]},ypad:{valType:\"number\",min:0,dflt:10},outlinecolor:n.linecolor,outlinewidth:n.linewidth,bordercolor:n.linecolor,borderwidth:{valType:\"number\",min:0,dflt:0},bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\"},tickmode:n.minor.tickmode,nticks:n.nticks,tick0:n.tick0,dtick:n.dtick,tickvals:n.tickvals,ticktext:n.ticktext,ticks:a({},n.ticks,{dflt:\"\"}),ticklabeloverflow:a({},n.ticklabeloverflow,{}),ticklabelposition:{valType:\"enumerated\",values:[\"outside\",\"inside\",\"outside 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x,b,_,w=\"paper\"===h(\"yref\"),T=\"paper\"===h(\"xref\"),k=\"left\";g?(_=\"middle\",k=T?\"left\":\"right\",x=T?1.02:1,b=.5):(_=w?\"bottom\":\"top\",k=\"center\",x=.5,b=w?1.02:1),n.coerce(f,c,{x:{valType:\"number\",min:T?-2:0,max:T?3:1,dflt:x}},\"x\"),n.coerce(f,c,{y:{valType:\"number\",min:w?-2:0,max:w?3:1,dflt:b}},\"y\"),h(\"xanchor\",k),h(\"xpad\"),h(\"yanchor\",_),h(\"ypad\"),n.noneOrAll(f,c,[\"x\",\"y\"]),h(\"outlinecolor\"),h(\"outlinewidth\"),h(\"bordercolor\"),h(\"borderwidth\"),h(\"bgcolor\");var A=n.coerce(f,c,{ticklabelposition:{valType:\"enumerated\",dflt:\"outside\",values:g?[\"outside\",\"inside\",\"outside top\",\"inside top\",\"outside bottom\",\"inside bottom\"]:[\"outside\",\"inside\",\"outside left\",\"inside left\",\"outside right\",\"inside right\"]}},\"ticklabelposition\");h(\"ticklabeloverflow\",-1!==A.indexOf(\"inside\")?\"hide past domain\":\"hide past div\"),a(f,c,h,\"linear\");var M=r.font,S={noAutotickangles:!0,outerTicks:!1,font:M};-1!==A.indexOf(\"inside\")&&(S.bgColor=\"black\"),l(f,c,h,\"linear\",S),s(f,c,h,\"linear\",S),o(f,c,h,\"linear\",S),h(\"title.text\",r._dfltTitle.colorbar);var E=c.showticklabels?c.tickfont:M,L=n.extendFlat({},E,{weight:M.weight,style:M.style,variant:M.variant,color:M.color,size:n.bigFont(E.size)});n.coerceFont(h,\"title.font\",L),h(\"title.side\",g?\"top\":\"right\")}},37848:function(t,e,r){\"use strict\";var n=r(33428),i=r(49760),a=r(7316),o=r(24040),s=r(54460),l=r(86476),u=r(3400),c=u.strTranslate,f=r(92880).extendFlat,h=r(93972),p=r(43616),d=r(76308),v=r(81668),g=r(72736),y=r(94288).flipScale,m=r(28336),x=r(37668),b=r(94724),_=r(84284),w=_.LINE_SPACING,T=_.FROM_TL,k=_.FROM_BR,A=r(63964).cn;t.exports={draw:function(t){var e=t._fullLayout._infolayer.selectAll(\"g.\"+A.colorbar).data(function(t){var e,r,n,i,a=t._fullLayout,o=t.calcdata,s=[];function l(t){return f(t,{_fillcolor:null,_line:{color:null,width:null,dash:null},_levels:{start:null,end:null,size:null},_filllevels:null,_fillgradient:null,_zrange:null})}function u(){\"function\"==typeof i.calc?i.calc(t,n,e):(e._fillgradient=r.reversescale?y(r.colorscale):r.colorscale,e._zrange=[r[i.min],r[i.max]])}for(var c=0;c<o.length;c++){var h=o[c];if((n=h[0].trace)._module){var p=n._module.colorbar;if(!0===n.visible&&p)for(var d=Array.isArray(p),v=d?p:[p],g=0;g<v.length;g++){var m=(i=v[g]).container;(r=m?n[m]:n)&&r.showscale&&((e=l(r.colorbar))._id=\"cb\"+n.uid+(d&&m?\"-\"+m:\"\"),e._traceIndex=n.index,e._propPrefix=(m?m+\".\":\"\")+\"colorbar.\",e._meta=n._meta,u(),s.push(e))}}}for(var x in a._colorAxes)if((r=a[x]).showscale){var b=a._colorAxes[x];(e=l(r.colorbar))._id=\"cb\"+x,e._propPrefix=x+\".colorbar.\",e._meta=a._meta,i={min:\"cmin\",max:\"cmax\"},\"heatmap\"!==b[0]&&(n=b[1],i.calc=n._module.colorbar.calc),u(),s.push(e)}return s}(t),(function(t){return t._id}));e.enter().append(\"g\").attr(\"class\",(function(t){return t._id})).classed(A.colorbar,!0),e.each((function(e){var r=n.select(this);u.ensureSingle(r,\"rect\",A.cbbg),u.ensureSingle(r,\"g\",A.cbfills),u.ensureSingle(r,\"g\",A.cblines),u.ensureSingle(r,\"g\",A.cbaxis,(function(t){t.classed(A.crisp,!0)})),u.ensureSingle(r,\"g\",A.cbtitleunshift,(function(t){t.append(\"g\").classed(A.cbtitle,!0)})),u.ensureSingle(r,\"rect\",A.cboutline);var y=function(t,e,r){var o=\"v\"===e.orientation,l=e.len,h=e.lenmode,y=e.thickness,_=e.thicknessmode,M=e.outlinewidth,S=e.borderwidth,E=e.bgcolor,L=e.xanchor,C=e.yanchor,P=e.xpad,O=e.ypad,I=e.x,z=o?e.y:1-e.y,D=\"paper\"===e.yref,R=\"paper\"===e.xref,F=r._fullLayout,B=F._size,N=e._fillcolor,j=e._line,U=e.title,V=U.side,q=e._zrange||n.extent((\"function\"==typeof N?N:j.color).domain()),H=\"function\"==typeof j.color?j.color:function(){return j.color},G=\"function\"==typeof N?N:function(){return N},W=e._levels,Y=function(t,e,r){var n,i,a=e._levels,o=[],s=[],l=a.end+a.size/100,u=a.size,c=1.001*r[0]-.001*r[1],f=1.001*r[1]-.001*r[0];for(i=0;i<1e5&&(n=a.start+i*u,!(u>0?n>=l:n<=l));i++)n>c&&n<f&&o.push(n);if(e._fillgradient)s=[0];else if(\"function\"==typeof e._fillcolor){var h=e._filllevels;if(h)for(l=h.end+h.size/100,u=h.size,i=0;i<1e5&&(n=h.start+i*u,!(u>0?n>=l:n<=l));i++)n>r[0]&&n<r[1]&&s.push(n);else(s=o.map((function(t){return t-a.size/2}))).push(s[s.length-1]+a.size)}else e._fillcolor&&\"string\"==typeof e._fillcolor&&(s=[0]);return a.size<0&&(o.reverse(),s.reverse()),{line:o,fill:s}}(0,e,q),X=Y.fill,Z=Y.line,K=Math.round(y*(\"fraction\"===_?o?B.w:B.h:1)),J=K/(o?B.w:B.h),$=Math.round(l*(\"fraction\"===h?o?B.h:B.w:1)),Q=$/(o?B.h:B.w),tt=R?B.w:r._fullLayout.width,et=D?B.h:r._fullLayout.height,rt=Math.round(o?I*tt+P:z*et+O),nt={center:.5,right:1}[L]||0,it={top:1,middle:.5}[C]||0,at=o?I-nt*J:z-it*J,ot=o?z-it*Q:I-nt*Q,st=Math.round(o?et*(1-ot):tt*ot);e._lenFrac=Q,e._thickFrac=J,e._uFrac=at,e._vFrac=ot;var lt=e._axis=function(t,e,r){var n=t._fullLayout,i=\"v\"===e.orientation,a={type:\"linear\",range:r,tickmode:e.tickmode,nticks:e.nticks,tick0:e.tick0,dtick:e.dtick,tickvals:e.tickvals,ticktext:e.ticktext,ticks:e.ticks,ticklen:e.ticklen,tickwidth:e.tickwidth,tickcolor:e.tickcolor,showticklabels:e.showticklabels,labelalias:e.labelalias,ticklabelposition:e.ticklabelposition,ticklabeloverflow:e.ticklabeloverflow,ticklabelstep:e.ticklabelstep,tickfont:e.tickfont,tickangle:e.tickangle,tickformat:e.tickformat,exponentformat:e.exponentformat,minexponent:e.minexponent,separatethousands:e.separatethousands,showexponent:e.showexponent,showtickprefix:e.showtickprefix,tickprefix:e.tickprefix,showticksuffix:e.showticksuffix,ticksuffix:e.ticksuffix,title:e.title,showline:!0,anchor:\"free\",side:i?\"right\":\"bottom\",position:1},o=i?\"y\":\"x\",s={type:\"linear\",_id:o+e._id},l={letter:o,font:n.font,noAutotickangles:\"y\"===o,noHover:!0,noTickson:!0,noTicklabelmode:!0,noInsideRange:!0,calendar:n.calendar};function c(t,e){return u.coerce(a,s,b,t,e)}return m(a,s,c,l,n),x(a,s,c,l),s}(r,e,q);lt.position=J+(o?I+P/B.w:z+O/B.h);var ut=-1!==[\"top\",\"bottom\"].indexOf(V);if(o&&ut&&(lt.title.side=V,lt.titlex=I+P/B.w,lt.titley=ot+(\"top\"===U.side?Q-O/B.h:O/B.h)),o||ut||(lt.title.side=V,lt.titley=z+O/B.h,lt.titlex=ot+P/B.w),j.color&&\"auto\"===e.tickmode){lt.tickmode=\"linear\",lt.tick0=W.start;var ct=W.size,ft=u.constrain($/50,4,15)+1,ht=(q[1]-q[0])/((e.nticks||ft)*ct);if(ht>1){var pt=Math.pow(10,Math.floor(Math.log(ht)/Math.LN10));ct*=pt*u.roundUp(ht/pt,[2,5,10]),(Math.abs(W.start)/W.size+1e-6)%1<2e-6&&(lt.tick0=0)}lt.dtick=ct}lt.domain=o?[ot+O/B.h,ot+Q-O/B.h]:[ot+P/B.w,ot+Q-P/B.w],lt.setScale(),t.attr(\"transform\",c(Math.round(B.l),Math.round(B.t)));var dt,vt=t.select(\".\"+A.cbtitleunshift).attr(\"transform\",c(-Math.round(B.l),-Math.round(B.t))),gt=lt.ticklabelposition,yt=lt.title.font.size,mt=t.select(\".\"+A.cbaxis),xt=0,bt=0;function _t(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(),v.draw(r,n,f(a,i||{}))}return u.syncOrAsync([a.previousPromises,function(){var t,e;(o&&ut||!o&&!ut)&&(\"top\"===V&&(t=P+B.l+tt*I,e=O+B.t+et*(1-ot-Q)+3+.75*yt),\"bottom\"===V&&(t=P+B.l+tt*I,e=O+B.t+et*(1-ot)-3-.25*yt),\"right\"===V&&(e=O+B.t+et*z+3+.75*yt,t=P+B.l+tt*ot),_t(lt._id+\"title\",{attributes:{x:t,y:e,\"text-anchor\":o?\"start\":\"middle\"}}))},function(){if(!o&&!ut||o&&ut){var a,l=t.select(\".\"+A.cbtitle),f=l.select(\"text\"),h=[-M/2,M/2],d=l.select(\".h\"+lt._id+\"title-math-group\").node(),v=15.6;if(f.node()&&(v=parseInt(f.node().style.fontSize,10)*w),d?(a=p.bBox(d),bt=a.width,(xt=a.height)>v&&(h[1]-=(xt-v)/2)):f.node()&&!f.classed(A.jsPlaceholder)&&(a=p.bBox(f.node()),bt=a.width,xt=a.height),o){if(xt){if(xt+=5,\"top\"===V)lt.domain[1]-=xt/B.h,h[1]*=-1;else{lt.domain[0]+=xt/B.h;var y=g.lineCount(f);h[1]+=(1-y)*v}l.attr(\"transform\",c(h[0],h[1])),lt.setScale()}}else bt&&(\"right\"===V&&(lt.domain[0]+=(bt+yt/2)/B.w),l.attr(\"transform\",c(h[0],h[1])),lt.setScale())}t.selectAll(\".\"+A.cbfills+\",.\"+A.cblines).attr(\"transform\",o?c(0,Math.round(B.h*(1-lt.domain[1]))):c(Math.round(B.w*lt.domain[0]),0)),mt.attr(\"transform\",o?c(0,Math.round(-B.t)):c(Math.round(-B.l),0));var m=t.select(\".\"+A.cbfills).selectAll(\"rect.\"+A.cbfill).attr(\"style\",\"\").data(X);m.enter().append(\"rect\").classed(A.cbfill,!0).attr(\"style\",\"\"),m.exit().remove();var x=q.map(lt.c2p).map(Math.round).sort((function(t,e){return t-e}));m.each((function(t,a){var s=[0===a?q[0]:(X[a]+X[a-1])/2,a===X.length-1?q[1]:(X[a]+X[a+1])/2].map(lt.c2p).map(Math.round);o&&(s[1]=u.constrain(s[1]+(s[1]>s[0])?1:-1,x[0],x[1]));var l=n.select(this).attr(o?\"x\":\"y\",rt).attr(o?\"y\":\"x\",n.min(s)).attr(o?\"width\":\"height\",Math.max(K,2)).attr(o?\"height\":\"width\",Math.max(n.max(s)-n.min(s),2));if(e._fillgradient)p.gradient(l,r,e._id,o?\"vertical\":\"horizontalreversed\",e._fillgradient,\"fill\");else{var c=G(t).replace(\"e-\",\"\");l.attr(\"fill\",i(c).toHexString())}}));var b=t.select(\".\"+A.cblines).selectAll(\"path.\"+A.cbline).data(j.color&&j.width?Z:[]);b.enter().append(\"path\").classed(A.cbline,!0),b.exit().remove(),b.each((function(t){var e=rt,r=Math.round(lt.c2p(t))+j.width/2%1;n.select(this).attr(\"d\",\"M\"+(o?e+\",\"+r:r+\",\"+e)+(o?\"h\":\"v\")+K).call(p.lineGroupStyle,j.width,H(t),j.dash)})),mt.selectAll(\"g.\"+lt._id+\"tick,path\").remove();var _=rt+K+(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:mt,path:s.makeTickPath(lt,_,k),transFn:s.makeTransTickFn(lt)}),s.drawLabels(r,lt,{vals:T,layer:mt,transFn:s.makeTransTickLabelFn(lt),labelFns:s.makeLabelFns(lt,_)})},function(){if(o&&!ut||!o&&ut){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(\"<br>\").length;i=B.t+et*a+10-K-w*yt*l}_t((o?\"h\":\"v\")+lt._id+\"title\",{avoid:{selection:n.select(r).selectAll(\"g.\"+lt._id+\"tick\"),side:V,offsetTop:o?0:B.t,offsetLeft:o?B.l:0,maxShift:o?F.width:F.height},attributes:{x:t,y:i,\"text-anchor\":\"middle\"},transform:{rotate:o?-90:0,offset:0}})}},a.previousPromises,function(){var 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rt,nt,it,at,ot,st,lt,ut,ct,ft,ht,pt,dt,vt=[],gt=[],yt={hLinePoint:null,vLinePoint:null},mt=!1;if(Array.isArray(e))for(M=\"array\",it=0;it<e.length;it++)(ot=t.calcdata[e[it].curveNumber||0])&&(st=ot[0].trace,\"skip\"!==ot[0].trace.hoverinfo&&(gt.push(ot),\"h\"===st.orientation&&(mt=!0)));else{var xt,bt,_t=t.calcdata.slice();for(_t.sort((function(t,e){return(t[0].trace.zorder||0)-(e[0].trace.zorder||0)})),at=0;at<_t.length;at++)ot=_t[at],\"skip\"!==(st=ot[0].trace).hoverinfo&&m.isTraceInSubplots(st,x)&&(gt.push(ot),\"h\"===st.orientation&&(mt=!0));if(l){if(!1===c.triggerHandler(t,\"plotly_beforehover\",e))return;var wt=l.getBoundingClientRect();xt=e.clientX-wt.left,bt=e.clientY-wt.top,b._calcInverseTransform(t);var Tt=o.apply3DTransform(b._invTransform)(xt,bt);if(xt=Tt[0],bt=Tt[1],xt<0||xt>Z[0]._length||bt<0||bt>K[0]._length)return v.unhoverRaw(t,e)}else xt=\"xpx\"in e?e.xpx:Z[0]._length/2,bt=\"ypx\"in e?e.ypx:K[0]._length/2;if(e.pointerX=xt+Z[0]._offset,e.pointerY=bt+K[0]._offset,rt=\"xval\"in e?m.flat(x,e.xval):m.p2c(Z,xt),nt=\"yval\"in e?m.flat(x,e.yval):m.p2c(K,bt),!i(rt[0])||!i(nt[0]))return o.warn(\"Fx.hover failed\",e,t),v.unhoverRaw(t,e)}var kt=1/0;function At(r,n){for(at=0;at<gt.length;at++)if((ot=gt[at])&&ot[0]&&ot[0].trace&&!0===(st=ot[0].trace).visible&&0!==st._length&&-1===[\"carpet\",\"contourcarpet\"].indexOf(st._module.name)){if(ct=M,m.isUnifiedHover(ct)&&(ct=ct.charAt(0)),\"splom\"===st.type?lt=x[ut=0]:(lt=m.getSubplot(st),ut=x.indexOf(lt)),pt={cd:ot,trace:st,xa:Z[ut],ya:K[ut],maxHoverDistance:tt,maxSpikeDistance:et,index:!1,distance:Math.min(kt,tt),spikeDistance:1/0,xSpike:void 0,ySpike:void 0,color:d.defaultLine,name:st.name,x0:void 0,x1:void 0,y0:void 0,y1:void 0,xLabelVal:void 0,yLabelVal:void 0,zLabelVal:void 0,text:void 0},b[lt]&&(pt.subplot=b[lt]._subplot),b._splomScenes&&b._splomScenes[st.uid]&&(pt.scene=b._splomScenes[st.uid]),\"array\"===ct){var a=e[at];\"pointNumber\"in a?(pt.index=a.pointNumber,ct=\"closest\"):(ct=\"\",\"xval\"in a&&(ft=a.xval,ct=\"x\"),\"yval\"in a&&(ht=a.yval,ct=ct?\"closest\":\"y\"))}else void 0!==r&&void 0!==n?(ft=r,ht=n):(ft=rt[ut],ht=nt[ut]);if(dt=vt.length,0!==tt)if(st._module&&st._module.hoverPoints){var s=st._module.hoverPoints(pt,ft,ht,ct,{finiteRange:!0,hoverLayer:b._hoverlayer,hoversubplots:_,gd:t});if(s)for(var l,u=0;u<s.length;u++)l=s[u],i(l.x0)&&i(l.y0)&&vt.push(B(l,M))}else o.log(\"Unrecognized trace type in hover:\",st);if(\"closest\"===M&&vt.length>dt&&(vt.splice(0,dt),kt=vt[0].distance),A&&0!==et&&0===vt.length){pt.distance=et,pt.index=!1;var c=st._module.hoverPoints(pt,ft,ht,\"closest\",{hoverLayer:b._hoverlayer});if(c&&(c=c.filter((function(t){return t.spikeDistance<=et}))),c&&c.length){var f,h=c.filter((function(t){return t.xa.showspikes&&\"hovered data\"!==t.xa.spikesnap}));if(h.length){var p=h[0];i(p.x0)&&i(p.y0)&&(f=St(p),(!yt.vLinePoint||yt.vLinePoint.spikeDistance>f.spikeDistance)&&(yt.vLinePoint=f))}var v=c.filter((function(t){return t.ya.showspikes&&\"hovered data\"!==t.ya.spikesnap}));if(v.length){var g=v[0];i(g.x0)&&i(g.y0)&&(f=St(g),(!yt.hLinePoint||yt.hLinePoint.spikeDistance>f.spikeDistance)&&(yt.hLinePoint=f))}}}}}function Mt(t,e,r){for(var n,i=null,a=1/0,o=0;o<t.length;o++)f&&f._id!==t[o].xa._id||p&&p._id!==t[o].ya._id||(n=t[o].spikeDistance,r&&0===o&&(n=-1/0),n<=a&&n<=e&&(i=t[o],a=n));return i}function St(t){return t?{xa:t.xa,ya:t.ya,x:void 0!==t.xSpike?t.xSpike:(t.x0+t.x1)/2,y:void 0!==t.ySpike?t.ySpike:(t.y0+t.y1)/2,distance:t.distance,spikeDistance:t.spikeDistance,curveNumber:t.trace.index,color:t.color,pointNumber:t.index}:null}At();var Et={fullLayout:b,container:b._hoverlayer,event:e},Lt=t._spikepoints,Ct={vLinePoint:yt.vLinePoint,hLinePoint:yt.hLinePoint};t._spikepoints=Ct;var Pt=function(){var t=vt.filter((function(t){return f&&f._id===t.xa._id&&p&&p._id===t.ya._id})),e=vt.filter((function(t){return!(f&&f._id===t.xa._id&&p&&p._id===t.ya._id)}));t.sort(P),e.sort(P),vt=function(t,e){for(var r=e.charAt(0),n=[],i=[],a=[],o=0;o<t.length;o++){var s=t[o];y.traceIs(s.trace,\"bar-like\")||y.traceIs(s.trace,\"box-violin\")?a.push(s):s.trace[r+\"period\"]?i.push(s):n.push(s)}return n.concat(i).concat(a)}(vt=t.concat(e),M)};Pt();var Ot=M.charAt(0),It=(\"x\"===Ot||\"y\"===Ot)&&vt[0]&&C[vt[0].trace.type];if(A&&0!==et&&0!==vt.length){var zt=Mt(vt.filter((function(t){return t.ya.showspikes})),et,It);yt.hLinePoint=St(zt);var Dt=Mt(vt.filter((function(t){return t.xa.showspikes})),et,It);yt.vLinePoint=St(Dt)}if(0===vt.length){var Rt=v.unhoverRaw(t,e);return!A||null===yt.hLinePoint&&null===yt.vLinePoint||j(Lt)&&N(t,yt,Et),Rt}if(A&&j(Lt)&&N(t,yt,Et),m.isXYhover(ct)&&0!==vt[0].length&&\"splom\"!==vt[0].trace.type){var Ft=vt[0],Bt=(vt=L[Ft.trace.type]?vt.filter((function(t){return t.trace.index===Ft.trace.index})):[Ft]).length;At(V(\"x\",Ft,b),V(\"y\",Ft,b));var Nt,jt=[],Ut={},Vt=0,qt=function(t){var e=L[t.trace.type]?O(t):t.trace.index;if(Ut[e]){var r=Ut[e]-1,n=jt[r];r>0&&Math.abs(t.distance)<Math.abs(n.distance)&&(jt[r]=t)}else Vt++,Ut[e]=Vt,jt.push(t)};for(Nt=0;Nt<Bt;Nt++)qt(vt[Nt]);for(Nt=vt.length-1;Nt>Bt-1;Nt--)qt(vt[Nt]);vt=jt,Pt()}var Ht=t._hoverdata,Gt=[],Wt=q(t),Yt=H(t);for(it=0;it<vt.length;it++){var Xt=vt[it],Zt=m.makeEventData(Xt,Xt.trace,Xt.cd);if(!1!==Xt.hovertemplate){var Kt=!1;Xt.cd[Xt.index]&&Xt.cd[Xt.index].ht&&(Kt=Xt.cd[Xt.index].ht),Xt.hovertemplate=Kt||Xt.trace.hovertemplate||!1}if(Xt.xa&&Xt.ya){var Jt=Xt.x0+Xt.xa._offset,$t=Xt.x1+Xt.xa._offset,Qt=Xt.y0+Xt.ya._offset,te=Xt.y1+Xt.ya._offset,ee=Math.min(Jt,$t),re=Math.max(Jt,$t),ne=Math.min(Qt,te),ie=Math.max(Qt,te);Zt.bbox={x0:ee+Yt,x1:re+Yt,y0:ne+Wt,y1:ie+Wt}}Xt.eventData=[Zt],Gt.push(Zt)}t._hoverdata=Gt;var ae=\"y\"===M&&(gt.length>1||vt.length>1)||\"closest\"===M&&mt&&vt.length>1,oe=d.combine(b.plot_bgcolor||d.background,b.paper_bgcolor),se=z(vt,{gd:t,hovermode:M,rotateLabels:ae,bgColor:oe,container:b._hoverlayer,outerContainer:b._paper.node(),commonLabelOpts:b.hoverlabel,hoverdistance:b.hoverdistance}),le=se.hoverLabels;if(m.isUnifiedHover(M)||(function(t,e,r,n){var i,a,o,s,l,u,c,f=e?\"xa\":\"ya\",h=e?\"ya\":\"xa\",p=0,d=1,v=t.size(),g=new Array(v),y=0,m=n.minX,x=n.maxX,b=n.minY,_=n.maxY,w=function(t){return t*r._invScaleX},T=function(t){return t*r._invScaleY};function A(t){var e=t[0],r=t[t.length-1];if(a=e.pmin-e.pos-e.dp+e.size,o=r.pos+r.dp+r.size-e.pmax,a>.01){for(l=t.length-1;l>=0;l--)t[l].dp+=a;i=!1}if(!(o<.01)){if(a<-.01){for(l=t.length-1;l>=0;l--)t[l].dp-=o;i=!1}if(i){var n=0;for(s=0;s<t.length;s++)(u=t[s]).pos+u.dp+u.size>e.pmax&&n++;for(s=t.length-1;s>=0&&!(n<=0);s--)(u=t[s]).pos>e.pmax-1&&(u.del=!0,n--);for(s=0;s<t.length&&!(n<=0);s++)if((u=t[s]).pos<e.pmin+1)for(u.del=!0,n--,o=2*u.size,l=t.length-1;l>=0;l--)t[l].dp-=o;for(s=t.length-1;s>=0&&!(n<=0);s--)(u=t[s]).pos+u.dp+u.size>e.pmax&&(u.del=!0,n--)}}}for(t.each((function(t){var n=t[f],i=t[h],a=\"x\"===n._id.charAt(0),o=n.range;0===y&&o&&o[0]>o[1]!==a&&(d=-1);var s=0,l=a?r.width:r.height;if(\"x\"===r.hovermode||\"y\"===r.hovermode){var u,c,p=R(t,e),v=t.anchor,A=\"end\"===v?-1:1;if(\"middle\"===v)c=(u=t.crossPos+(a?T(p.y-t.by/2):w(t.bx/2+t.tx2width/2)))+(a?T(t.by):w(t.bx));else if(a)c=(u=t.crossPos+T(S+p.y)-T(t.by/2-S))+T(t.by);else{var M=w(A*S+p.x),E=M+w(A*t.bx);u=t.crossPos+Math.min(M,E),c=t.crossPos+Math.max(M,E)}a?void 0!==b&&void 0!==_&&Math.min(c,_)-Math.max(u,b)>1&&(\"left\"===i.side?(s=i._mainLinePosition,l=r.width):l=i._mainLinePosition):void 0!==m&&void 0!==x&&Math.min(c,x)-Math.max(u,m)>1&&(\"top\"===i.side?(s=i._mainLinePosition,l=r.height):l=i._mainLinePosition)}g[y++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(a?k:1)/2,pmin:s,pmax:l}]})),g.sort((function(t,e){return t[0].posref-e[0].posref||d*(e[0].traceIndex-t[0].traceIndex)}));!i&&p<=v;){for(p++,i=!0,s=0;s<g.length-1;){var M=g[s],E=g[s+1],L=M[M.length-1],C=E[0];if((a=L.pos+L.dp+L.size-C.pos-C.dp+C.size)>.01&&L.pmin===C.pmin&&L.pmax===C.pmax){for(l=E.length-1;l>=0;l--)E[l].dp+=a;for(M.push.apply(M,E),g.splice(s+1,1),c=0,l=M.length-1;l>=0;l--)c+=M[l].dp;for(o=c/M.length,l=M.length-1;l>=0;l--)M[l].dp-=o;i=!1}else s++}g.forEach(A)}for(s=g.length-1;s>=0;s--){var P=g[s];for(l=P.length-1;l>=0;l--){var O=P[l],I=O.datum;I.offset=O.dp,I.del=O.del}}}(le,ae,b,se.commonLabelBoundingBox),F(le,ae,b._invScaleX,b._invScaleY)),l&&l.tagName){var ue=y.getComponentMethod(\"annotations\",\"hasClickToShow\")(t,Gt);h(n.select(l),ue?\"pointer\":\"\")}l&&!a&&function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Ht)&&(Ht&&t.emit(\"plotly_unhover\",{event:e,points:Ht}),t.emit(\"plotly_hover\",{event:e,points:t._hoverdata,xaxes:Z,yaxes:K,xvals:rt,yvals:nt}))}(t,e,r,a,l)}))},e.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=q(i),o=H(i),s=z(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,u=t.eventData;if(u){var c=Math.min(r,n),f=Math.max(r,n),h=Math.min(s,l),p=Math.max(s,l),v=t.trace;if(y.traceIs(v,\"gl3d\")){var g=i._fullLayout[v.scene]._scene.container,m=g.offsetLeft,x=g.offsetTop;c+=m,f+=m,h+=x,p+=x}u.bbox={x0:c+o,x1:f+o,y0:h+a,y1:p+a},e.inOut_bbox&&e.inOut_bbox.push(u.bbox)}else u=!1;return{color:t.color||d.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,fontWeight:t.fontWeight,fontStyle:t.fontStyle,fontVariant:t.fontVariant,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:\"\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,hovertemplateLabels:t.hovertemplateLabels||!1,eventData:u}})),{gd:i,hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||d.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}).hoverLabels,l=0,u=0;return s.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5<l?l-n+5:0,l=n+t.by+t.offset,r===e.anchorIndex&&(u=t.offset)})).each((function(t){t.offset-=u})),F(s,!1,i._fullLayout._invScaleX,i._fullLayout._invScaleY),r?s:s.node()};var I=/<extra>([\\s\\S]*)<\\/extra>/;function z(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,s=e.rotateLabels,c=e.bgColor,h=e.container,v=e.outerContainer,g=e.commonLabelOpts||{};if(0===t.length)return[[]];var T=e.fontFamily||x.HOVERFONT,k=e.fontSize||x.HOVERFONTSIZE,A=e.fontWeight||i.font.weight,M=e.fontStyle||i.font.style,L=e.fontVariant||i.font.variant,C=t[0],P=C.xa,I=C.ya,z=a.charAt(0),R=z+\"Label\",F=C[R];if(void 0===F&&\"multicategory\"===P.type)for(var B=0;B<t.length&&void 0===(F=t[B][R]);B++);var N=G(r,v),j=N.top,U=N.width,V=N.height,q=void 0!==F&&C.distance<=e.hoverdistance&&(\"x\"===a||\"y\"===a);if(q){var H,W,Y=!0;for(H=0;H<t.length;H++)if(Y&&void 0===t[H].zLabel&&(Y=!1),W=t[H].hoverinfo||t[H].trace.hoverinfo){var X=Array.isArray(W)?W:W.split(\"+\");if(-1===X.indexOf(\"all\")&&-1===X.indexOf(a)){q=!1;break}}Y&&(q=!1)}var Z=h.selectAll(\"g.axistext\").data(q?[0]:[]);Z.enter().append(\"g\").classed(\"axistext\",!0),Z.exit().remove();var K={minX:0,maxX:0,minY:0,maxY:0};if(Z.each((function(){var t=n.select(this),e=o.ensureSingle(t,\"path\",\"\",(function(t){t.style({\"stroke-width\":\"1px\"})})),s=o.ensureSingle(t,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),u=g.bgcolor||d.defaultLine,c=g.bordercolor||d.contrast(u),h=d.contrast(u),v={weight:g.font.weight||A,style:g.font.style||M,variant:g.font.variant||L,family:g.font.family||T,size:g.font.size||k,color:g.font.color||h};e.style({fill:u,stroke:c}),s.text(F).call(p.font,v).call(f.positionText,0,0).call(f.convertToTspans,r),t.attr(\"transform\",\"\");var y,m,x=G(r,s.node());if(\"x\"===a){var b=\"top\"===P.side?\"-\":\"\";s.attr(\"text-anchor\",\"middle\").call(f.positionText,0,\"top\"===P.side?j-x.bottom-S-E:j-x.top+S+E),y=P._offset+(C.x0+C.x1)/2,m=I._offset+(\"top\"===P.side?0:I._length);var _=x.width/2+E,w=y;y<_?w=_:y>i.width-_&&(w=i.width-_),e.attr(\"d\",\"M\"+(y-w)+\",0L\"+(y-w+S)+\",\"+b+S+\"H\"+_+\"v\"+b+(2*E+x.height)+\"H\"+-_+\"V\"+b+S+\"H\"+(y-w-S)+\"Z\"),y=w,K.minX=y-_,K.maxX=y+_,\"top\"===P.side?(K.minY=m-(2*E+x.height),K.maxY=m-E):(K.minY=m+E,K.maxY=m+(2*E+x.height))}else{var O,z,D;\"right\"===I.side?(O=\"start\",z=1,D=\"\",y=P._offset+P._length):(O=\"end\",z=-1,D=\"-\",y=P._offset),m=I._offset+(C.y0+C.y1)/2,s.attr(\"text-anchor\",O),e.attr(\"d\",\"M0,0L\"+D+S+\",\"+S+\"V\"+(E+x.height/2)+\"h\"+D+(2*E+x.width)+\"V-\"+(E+x.height/2)+\"H\"+D+S+\"V-\"+S+\"Z\"),K.minY=m-(E+x.height/2),K.maxY=m+(E+x.height/2),\"right\"===I.side?(K.minX=y+S,K.maxX=y+S+(2*E+x.width)):(K.minX=y-S-(2*E+x.width),K.maxX=y-S);var R,B=x.height/2,N=j-x.top-B,U=\"clip\"+i._uid+\"commonlabel\"+I._id;if(y<x.width+2*E+S){R=\"M-\"+(S+E)+\"-\"+B+\"h-\"+(x.width-E)+\"V\"+B+\"h\"+(x.width-E)+\"Z\";var V=x.width-y+E;f.positionText(s,V,N),\"end\"===O&&s.selectAll(\"tspan\").each((function(){var t=n.select(this),e=p.tester.append(\"text\").text(t.text()).call(p.font,v),i=G(r,e.node());Math.round(i.width)<Math.round(x.width)&&t.attr(\"x\",V-i.width),e.remove()}))}else f.positionText(s,z*(E+S),N),R=null;var q=i._topclips.selectAll(\"#\"+U).data(R?[0]:[]);q.enter().append(\"clipPath\").attr(\"id\",U).append(\"path\"),q.exit().remove(),q.select(\"path\").attr(\"d\",R),p.setClipUrl(s,R?U:null,r)}t.attr(\"transform\",l(y,m))})),m.isUnifiedHover(a)){h.selectAll(\"g.hovertext\").remove();var J=t.filter((function(t){return\"none\"!==t.hoverinfo}));if(0===J.length)return[];var $=i.hoverlabel,Q=$.font,tt={showlegend:!0,legend:{title:{text:F,font:Q},font:Q,bgcolor:$.bgcolor,bordercolor:$.bordercolor,borderwidth:1,tracegroupgap:7,traceorder:i.legend?i.legend.traceorder:void 0,orientation:\"v\"}},et={font:Q};b(tt,et,r._fullData);var rt=et.legend;rt.entries=[];for(var nt=0;nt<J.length;nt++){var it=J[nt];if(\"none\"!==it.hoverinfo){var at=D(it,!0,a,i,F),ot=at[0],st=at[1];it.name=st,it.text=\"\"!==st?st+\" : \"+ot:ot;var lt=it.cd[it.index];lt&&(lt.mc&&(it.mc=lt.mc),lt.mcc&&(it.mc=lt.mcc),lt.mlc&&(it.mlc=lt.mlc),lt.mlcc&&(it.mlc=lt.mlcc),lt.mlw&&(it.mlw=lt.mlw),lt.mrc&&(it.mrc=lt.mrc),lt.dir&&(it.dir=lt.dir)),it._distinct=!0,rt.entries.push([it])}}rt.entries.sort((function(t,e){return t[0].trace.index-e[0].trace.index})),rt.layer=h,rt._inHover=!0,rt._groupTitleFont=$.grouptitlefont,_(r,rt);var 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0),-1===p.indexOf(\"name\")&&(t.name=void 0)),t}function N(t,e,r){var n,i,o=r.container,s=r.fullLayout,l=s._size,u=r.event,c=!!e.hLinePoint,f=!!e.vLinePoint;if(o.selectAll(\".spikeline\").remove(),f||c){var h=d.combine(s.plot_bgcolor,s.paper_bgcolor);if(c){var v,y,m=e.hLinePoint;n=m&&m.xa,\"cursor\"===(i=m&&m.ya).spikesnap?(v=u.pointerX,y=u.pointerY):(v=n._offset+m.x,y=i._offset+m.y);var x,b,_=a.readability(m.color,h)<1.5?d.contrast(h):m.color,w=i.spikemode,T=i.spikethickness,k=i.spikecolor||_,A=g.getPxPosition(t,i);if(-1!==w.indexOf(\"toaxis\")||-1!==w.indexOf(\"across\")){if(-1!==w.indexOf(\"toaxis\")&&(x=A,b=v),-1!==w.indexOf(\"across\")){var 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n=r(33428),i=r(3400),a=r(86476),o=r(10624),s=r(65460),l=r(83292);t.exports={moduleType:\"component\",name:\"fx\",constants:r(92456),schema:{layout:s},attributes:r(55756),layoutAttributes:s,supplyLayoutGlobalDefaults:r(81976),supplyDefaults:r(95448),supplyLayoutDefaults:r(88336),calc:r(55056),getDistanceFunction:o.getDistanceFunction,getClosest:o.getClosest,inbox:o.inbox,quadrature:o.quadrature,appendArrayPointValue:o.appendArrayPointValue,castHoverOption:function(t,e,r){return i.castOption(t,e,\"hoverlabel.\"+r)},castHoverinfo:function(t,e,r){return i.castOption(t,r,\"hoverinfo\",(function(r){return i.coerceHoverinfo({hoverinfo:r},{_module:t._module},e)}))},hover:l.hover,unhover:a.unhover,loneHover:l.loneHover,loneUnhover:function(t){var e=i.isD3Selection(t)?t:n.select(t);e.selectAll(\"g.hovertext\").remove(),e.selectAll(\".spikeline\").remove()},click:r(62376)}},65460:function(t,e,r){\"use strict\";var 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V,q=i.ensureSingle(N,\"g\",\"scrollbox\"),H=h.title;h._titleWidth=0,h._titleHeight=0,H.text?((V=i.ensureSingle(q,\"text\",w+\"titletext\")).attr(\"text-anchor\",\"start\").call(u.font,H.font).text(H.text),L(V,q,t,h,_)):q.selectAll(\".\"+w+\"titletext\").remove();var G=i.ensureSingle(N,\"rect\",\"scrollbar\",(function(t){t.attr(p.scrollBarEnterAttrs).call(c.fill,p.scrollBarColor)})),W=q.selectAll(\"g.groups\").data(S);W.enter().append(\"g\").attr(\"class\",\"groups\"),W.exit().remove();var Y=W.selectAll(\"g.traces\").data(i.identity);Y.enter().append(\"g\").attr(\"class\",\"traces\"),Y.exit().remove(),Y.style(\"opacity\",(function(t){var e=t[0].trace;return o.traceIs(e,\"pie-like\")?-1!==B.indexOf(t[0].label)?.5:1:\"legendonly\"===e.visible?.5:1})).each((function(){n.select(this).call(M,t,h)})).call(x,t,h).each((function(){T||n.select(this).call(E,t,w)})),i.syncOrAsync([a.previousPromises,function(){return function(t,e,r,i){var a=t._fullLayout,o=O(i);i||(i=a[o]);var 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O=S,I=E;S=k?i.constrain(S,0,d.width-h._width):O,E=M?i.constrain(E,0,d.height-h._effHeight):I,S!==O&&i.log(\"Constrain \"+w+\".x to make legend fit inside graph\"),E!==I&&i.log(\"Constrain \"+w+\".y to make legend fit inside graph\")}u.setTranslate(N,S,E)}if(G.on(\".drag\",null),N.on(\"wheel\",null),T||h._height<=h._maxHeight||t._context.staticPlot){var z=h._effHeight;T&&(z=h._height),U.attr({width:h._width-_,height:z-_,x:_/2,y:_/2}),u.setTranslate(q,0,0),j.select(\"rect\").attr({width:h._width-2*_,height:z-2*_,x:_,y:_}),u.setClipUrl(q,r,t),u.setRect(G,0,0,0,0),delete h._scrollY}else{var 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t=n.event.sourceEvent;\"touchstart\"===t.type&&(D=t.changedTouches[0].clientY,F=Z)})).on(\"drag\",(function(){var t=n.event.sourceEvent;\"touchmove\"===t.type&&(R=t.changedTouches[0].clientY,Z=function(t,e,r){var n=(e-r)/X+t;return i.constrain(n,0,Y)}(F,D,R),$(Z,B,X))}));q.call(J)}function $(e,r,n){h._scrollY=t._fullLayout[w]._scrollY=e,u.setTranslate(q,0,-e),u.setRect(G,h._width,p.scrollBarMargin+e*n,p.scrollBarWidth,r),j.select(\"rect\").attr(\"y\",_+e)}t._context.edits.legendPosition&&(N.classed(\"cursor-move\",!0),l.init({element:N.node(),gd:t,prepFn:function(){var t=u.getTranslate(N);m=t.x,x=t.y},moveFn:function(t,r){var n=m+t,i=x+r;u.setTranslate(N,n,i),e=l.align(n,h._width,b.l,b.l+b.w,h.xanchor),c=l.align(i+h._height,-h._height,b.t+b.h,b.t,h.yanchor)},doneFn:function(){if(void 0!==e&&void 0!==c){var r={};r[w+\".x\"]=e,r[w+\".y\"]=c,o.call(\"_guiRelayout\",t,r)}},clickFn:function(e,r){var n=s.selectAll(\"g.traces\").filter((function(){var t=this.getBoundingClientRect();return r.clientX>=t.left&&r.clientX<=t.right&&r.clientY>=t.top&&r.clientY<=t.bottom}));n.size()>0&&A(t,N,n,e,r)}}))}],t)}}function k(t,e,r){var n=t[0],i=n.width,a=e.entrywidthmode,o=n.trace.legendwidth||e.entrywidth;return\"fraction\"===a?e._maxWidth*o:r+(o||i)}function A(t,e,r,n,i){var a=r.data()[0][0].trace,l={event:i,node:r.node(),curveNumber:a.index,expandedIndex:a._expandedIndex,data:t.data,layout:t.layout,frames:t._transitionData._frames,config:t._context,fullData:t._fullData,fullLayout:t._fullLayout};a._group&&(l.group=a._group),o.traceIs(a,\"pie-like\")&&(l.label=r.datum()[0].label);var u=s.triggerHandler(t,\"plotly_legendclick\",l);if(1===n){if(!1===u)return;e._clickTimeout=setTimeout((function(){t._fullLayout&&h(r,t,n)}),t._context.doubleClickDelay)}else 2===n&&(e._clickTimeout&&clearTimeout(e._clickTimeout),t._legendMouseDownTime=0,!1!==s.triggerHandler(t,\"plotly_legenddoubleclick\",l)&&!1!==u&&h(r,t,n))}function M(t,e,r){var n,a,s=O(r),l=t.data()[0][0],c=l.trace,h=o.traceIs(c,\"pie-like\"),d=!r._inHover&&e._context.edits.legendText&&!h,v=r._maxNameLength;l.groupTitle?(n=l.groupTitle.text,a=l.groupTitle.font):(a=r.font,r.entries?n=l.text:(n=h?l.label:c.name,c._meta&&(n=i.templateString(n,c._meta))));var g=i.ensureSingle(t,\"text\",s+\"text\");g.attr(\"text-anchor\",\"start\").call(u.font,a).text(d?S(n,v):n);var y=r.indentation+r.itemwidth+2*p.itemGap;f.positionText(g,y,0),d?g.call(f.makeEditable,{gd:e,text:n}).call(L,t,e,r).on(\"edit\",(function(n){this.text(S(n,v)).call(L,t,e,r);var a=l.trace._fullInput||{},s={};if(o.hasTransform(a,\"groupby\")){var u=o.getTransformIndices(a,\"groupby\"),f=u[u.length-1],h=i.keyedContainer(a,\"transforms[\"+f+\"].styles\",\"target\",\"value.name\");h.set(l.trace._group,n),s=h.constructUpdate()}else s.name=n;return a._isShape?o.call(\"_guiRelayout\",e,\"shapes[\"+c.index+\"].name\",s.name):o.call(\"_guiRestyle\",e,s,c.index)})):L(g,t,e,r)}function S(t,e){var r=Math.max(4,e);if(t&&t.trim().length>=r/2)return t;for(var n=r-(t=t||\"\").length;n>0;n--)t+=\" \";return t}function E(t,e,r){var a,o=e._context.doubleClickDelay,s=1,l=i.ensureSingle(t,\"rect\",r+\"toggle\",(function(t){e._context.staticPlot||t.style(\"cursor\",\"pointer\").attr(\"pointer-events\",\"all\"),t.call(c.fill,\"rgba(0,0,0,0)\")}));e._context.staticPlot||(l.on(\"mousedown\",(function(){(a=(new Date).getTime())-e._legendMouseDownTime<o?s+=1:(s=1,e._legendMouseDownTime=a)})),l.on(\"mouseup\",(function(){if(!e._dragged&&!e._editing){var i=e._fullLayout[r];(new Date).getTime()-e._legendMouseDownTime>o&&(s=Math.max(s-1,1)),A(e,i,t,s,n.event)}})))}function L(t,e,r,n,i){n._inHover&&t.attr(\"data-notex\",!0),f.convertToTspans(t,r,(function(){!function(t,e,r,n){var i=t.data()[0][0];if(r._inHover||!i||i.trace.showlegend){var a=t.select(\"g[class*=math-group]\"),o=a.node(),s=O(r);r||(r=e._fullLayout[s]);var l,c,h=r.borderwidth,d=(n===_?r.title.font:i.groupTitle?i.groupTitle.font:r.font).size*v;if(o){var g=u.bBox(o);l=g.height,c=g.width,n===_?u.setTranslate(a,h,h+.75*l):u.setTranslate(a,0,.25*l)}else{var y=\".\"+s+(n===_?\"title\":\"\")+\"text\",m=t.select(y),x=f.lineCount(m),b=m.node();if(l=d*x,c=b?u.bBox(b).width:0,n===_)\"left\"===r.title.side&&(c+=2*p.itemGap),f.positionText(m,h+p.titlePad,h+d);else{var w=2*p.itemGap+r.indentation+r.itemwidth;i.groupTitle&&(w=p.itemGap,c-=r.indentation+r.itemwidth),f.positionText(m,w,-d*((x-1)/2-.3))}}n===_?(r._titleWidth=c,r._titleHeight=l):(i.lineHeight=d,i.height=Math.max(l,16)+3,i.width=c)}else t.remove()}(e,r,n,i)}))}function C(t){return i.isRightAnchor(t)?\"right\":i.isCenterAnchor(t)?\"center\":\"left\"}function P(t){return i.isBottomAnchor(t)?\"bottom\":i.isMiddleAnchor(t)?\"middle\":\"top\"}function O(t){return t._id||\"legend\"}t.exports=function(t,e){if(e)T(t,e);else{var r=t._fullLayout,i=r._legends;r._infolayer.selectAll('[class^=\"legend\"]').each((function(){var t=n.select(this),e=t.attr(\"class\").split(\" \")[0];e.match(w)&&-1===i.indexOf(e)&&t.remove()}));for(var a=0;a<i.length;a++){var o=i[a];T(t,t._fullLayout[o])}}}},35456:function(t,e,r){\"use strict\";var n=r(24040),i=r(42451);t.exports=function(t,e,r){var a,o,s=e._inHover,l=i.isGrouped(e),u=i.isReversed(e),c={},f=[],h=!1,p={},d=0,v=0;function g(t,n,a){if(!1!==e.visible&&(!r||t===e._id))if(\"\"!==n&&i.isGrouped(e))-1===f.indexOf(n)?(f.push(n),h=!0,c[n]=[a]):c[n].push(a);else{var o=\"~~i\"+d;f.push(o),c[o]=[a],d++}}for(a=0;a<t.length;a++){var y=t[a],m=y[0],x=m.trace,b=x.legend,_=x.legendgroup;if(s||x.visible&&x.showlegend)if(n.traceIs(x,\"pie-like\"))for(p[_]||(p[_]={}),o=0;o<y.length;o++){var w=y[o].label;p[_][w]||(g(b,_,{label:w,color:y[o].color,i:y[o].i,trace:x,pts:y[o].pts}),p[_][w]=!0,v=Math.max(v,(w||\"\").length))}else 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t.showlegend})),y=v.concat(g),m=d.trace;m._isShape&&(m=m._fullInput);var x,b,_,w,T,k=m.legendgroup,A={},M=[],S=[],E=[],L=(s.shapes||[]).map((function(t){return t._input})),C=!1,P=m.legend,O=m._fullInput;if(O&&O._isShape||!n.traceIs(m,\"pie-like\")){var I,z=k&&k.length,D=[];if(z)for(x=0;x<y.length;x++)(I=y[x]).visible&&I.legendgroup===k&&D.push(x);if(\"toggle\"===l){var R;switch(m.visible){case!0:R=\"legendonly\";break;case!1:R=!1;break;case\"legendonly\":R=!0}if(z)if(h)for(x=0;x<y.length;x++){var F=y[x];!1!==F.visible&&F.legendgroup===k&&tt(F,R)}else tt(m,R);else tt(m,R)}else if(\"toggleothers\"===l){var 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r=e.currentTarget,n=r._previousVal,i=t._fullLayout,a=i._subplots.gl3d||[],o=[\"xaxis\",\"yaxis\",\"zaxis\"],s={},l={};if(n)l=n,r._previousVal=null;else{for(var u=0;u<a.length;u++){var c=a[u],f=i[c],h=c+\".hovermode\";s[h]=f.hovermode,l[h]=!1;for(var p=0;p<3;p++){var d=o[p],v=c+\".\"+d+\".showspikes\";l[v]=!1,s[v]=f[d].showspikes}}r._previousVal=s}return l}function v(t,e){for(var r=e.currentTarget,i=r.getAttribute(\"data-attr\"),a=r.getAttribute(\"data-val\")||!0,o=t._fullLayout,s=o._subplots.geo||[],l=0;l<s.length;l++){var u=s[l],c=o[u];if(\"zoom\"===i){var f=c.projection.scale,h=\"in\"===a?2*f:.5*f;n.call(\"_guiRelayout\",t,u+\".projection.scale\",h)}}\"reset\"===i&&x(t,\"geo\")}function g(t){var e=t._fullLayout;return!e.hovermode&&(e._has(\"cartesian\")?e._isHoriz?\"y\":\"x\":\"closest\")}function y(t){var e=g(t);n.call(\"_guiRelayout\",t,\"hovermode\",e)}function m(t,e){for(var r=e.currentTarget.getAttribute(\"data-val\"),i=t._fullLayout,a=i._subplots.mapbox||[],o={},s=0;s<a.length;s++){var l=a[s],u=i[l].zoom,c=\"in\"===r?1.05*u:u/1.05;o[l+\".zoom\"]=c}n.call(\"_guiRelayout\",t,o)}function x(t,e){for(var r=t._fullLayout,i=r._subplots[e]||[],a={},o=0;o<i.length;o++)for(var s=i[o],l=r[s]._subplot.viewInitial,u=Object.keys(l),c=0;c<u.length;c++){var f=u[c];a[s+\".\"+f]=l[f]}n.call(\"_guiRelayout\",t,a)}c.toImage={name:\"toImage\",title:function(t){var e=(t._context.toImageButtonOptions||{}).format||\"png\";return u(t,\"png\"===e?\"Download plot as a png\":\"Download plot\")},icon:o.camera,click:function(t){var e=t._context.toImageButtonOptions,r={format:e.format||\"png\"};l.notifier(u(t,\"Taking snapshot - this may take a few seconds\"),\"long\"),\"svg\"!==r.format&&l.isIE()&&(l.notifier(u(t,\"IE only supports svg.  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u(t,\"Pan\")},attr:\"dragmode\",val:\"pan\",icon:o.pan,click:f},c.select2d={name:\"select2d\",_cat:\"select\",title:function(t){return u(t,\"Box Select\")},attr:\"dragmode\",val:\"select\",icon:o.selectbox,click:f},c.lasso2d={name:\"lasso2d\",_cat:\"lasso\",title:function(t){return u(t,\"Lasso Select\")},attr:\"dragmode\",val:\"lasso\",icon:o.lasso,click:f},c.drawclosedpath={name:\"drawclosedpath\",title:function(t){return u(t,\"Draw closed freeform\")},attr:\"dragmode\",val:\"drawclosedpath\",icon:o.drawclosedpath,click:f},c.drawopenpath={name:\"drawopenpath\",title:function(t){return u(t,\"Draw open freeform\")},attr:\"dragmode\",val:\"drawopenpath\",icon:o.drawopenpath,click:f},c.drawline={name:\"drawline\",title:function(t){return u(t,\"Draw line\")},attr:\"dragmode\",val:\"drawline\",icon:o.drawline,click:f},c.drawrect={name:\"drawrect\",title:function(t){return u(t,\"Draw 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r=e.currentTarget;r.setAttribute(\"data-attr\",\"zoom\"),r.setAttribute(\"data-val\",\"reset\"),f(t,e),r.setAttribute(\"data-attr\",\"resetLastSave\"),p(t,e),x(t,\"geo\"),x(t,\"mapbox\")}},c.toggleSpikelines={name:\"toggleSpikelines\",title:function(t){return u(t,\"Toggle Spike Lines\")},icon:o.spikeline,attr:\"_cartesianSpikesEnabled\",val:\"on\",click:function(t){var e=t._fullLayout,r=e._cartesianSpikesEnabled;e._cartesianSpikesEnabled=\"on\"===r?\"off\":\"on\",n.call(\"_guiRelayout\",t,function(t){for(var e=\"on\"===t._fullLayout._cartesianSpikesEnabled,r=a.list(t,null,!0),n={},i=0;i<r.length;i++){var o=r[i];n[o._name+\".showspikes\"]=!!e||o._showSpikeInitial}return n}(t))}},c.resetViewMapbox={name:\"resetViewMapbox\",_cat:\"resetView\",title:function(t){return u(t,\"Reset view\")},attr:\"reset\",icon:o.home,click:function(t){x(t,\"mapbox\")}},c.zoomInMapbox={name:\"zoomInMapbox\",_cat:\"zoomin\",title:function(t){return u(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:m},c.zoomOutMapbox={name:\"zoomOutMapbox\",_cat:\"zoomout\",title:function(t){return u(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:m}},76052:function(t,e,r){\"use strict\";var n=r(44248),i=Object.keys(n),a=[\"drawline\",\"drawopenpath\",\"drawclosedpath\",\"drawcircle\",\"drawrect\",\"eraseshape\"],o=[\"v1hovermode\",\"hoverclosest\",\"hovercompare\",\"togglehover\",\"togglespikelines\"].concat(a),s=[];i.forEach((function(t){!function(t){if(-1===o.indexOf(t._cat||t.name)){var e=t.name,r=(t._cat||t.name).toLowerCase();-1===s.indexOf(e)&&s.push(e),-1===s.indexOf(r)&&s.push(r)}}(n[t])})),s.sort(),t.exports={DRAW_MODES:a,backButtons:o,foreButtons:s}},90824:function(t,e,r){\"use strict\";var n=r(3400),i=r(76308),a=r(31780),o=r(66540);t.exports=function(t,e){var r=t.modebar||{},s=a.newContainer(e,\"modebar\");function l(t,e){return n.coerce(r,s,o,t,e)}l(\"orientation\"),l(\"bgcolor\",i.addOpacity(e.paper_bgcolor,.5));var u=i.contrast(i.rgb(e.modebar.bgcolor));l(\"color\",i.addOpacity(u,.3)),l(\"activecolor\",i.addOpacity(u,.7)),l(\"uirevision\",e.uirevision),l(\"add\"),l(\"remove\")}},45460:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"modebar\",layoutAttributes:r(66540),supplyLayoutDefaults:r(90824),manage:r(18816)}},18816:function(t,e,r){\"use strict\";var n=r(79811),i=r(43028),a=r(24040),o=r(10624).isUnifiedHover,s=r(66400),l=r(44248),u=r(76052).DRAW_MODES,c=r(3400).extendDeep;t.exports=function(t){var e=t._fullLayout,r=t._context,f=e._modeBar;if(r.displayModeBar||r.watermark){if(!Array.isArray(r.modeBarButtonsToRemove))throw new Error([\"*modeBarButtonsToRemove* configuration options\",\"must be an array.\"].join(\" \"));if(!Array.isArray(r.modeBarButtonsToAdd))throw new Error([\"*modeBarButtonsToAdd* configuration options\",\"must be an array.\"].join(\" \"));var h,p=r.modeBarButtons;h=Array.isArray(p)&&p.length?function(t){for(var e=c([],t),r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++){var a=n[i];if(\"string\"==typeof a){if(void 0===l[a])throw new Error([\"*modeBarButtons* configuration options\",\"invalid button name\"].join(\" \"));e[r][i]=l[a]}}return e}(p):!r.displayModeBar&&r.watermark?[]:function(t){var e=t._fullLayout,r=t._fullData,s=t._context;function c(t,e){if(\"string\"==typeof e){if(e.toLowerCase()===t.toLowerCase())return!0}else{var r=e.name,n=e._cat||e.name;if(r===t||n===t.toLowerCase())return!0}return!1}var f=e.modebar.add;\"string\"==typeof f&&(f=[f]);var h=e.modebar.remove;\"string\"==typeof h&&(h=[h]);var p=s.modeBarButtonsToAdd.concat(f.filter((function(t){for(var e=0;e<s.modeBarButtonsToRemove.length;e++)if(c(t,s.modeBarButtonsToRemove[e]))return!1;return!0}))),d=s.modeBarButtonsToRemove.concat(h.filter((function(t){for(var e=0;e<s.modeBarButtonsToAdd.length;e++)if(c(t,s.modeBarButtonsToAdd[e]))return!1;return!0}))),v=e._has(\"cartesian\"),g=e._has(\"gl3d\"),y=e._has(\"geo\"),m=e._has(\"pie\"),x=e._has(\"funnelarea\"),b=e._has(\"gl2d\"),_=e._has(\"ternary\"),w=e._has(\"mapbox\"),T=e._has(\"polar\"),k=e._has(\"smith\"),A=e._has(\"sankey\"),M=function(t){for(var e=n.list({_fullLayout:t},null,!0),r=0;r<e.length;r++)if(!e[r].fixedrange)return!1;return!0}(e),S=o(e.hovermode),E=[];function L(t){if(t.length){for(var e=[],r=0;r<t.length;r++){for(var n=t[r],i=l[n],a=i.name.toLowerCase(),o=(i._cat||i.name).toLowerCase(),s=!1,u=0;u<d.length;u++){var c=d[u].toLowerCase();if(c===a||c===o){s=!0;break}}s||e.push(l[n])}E.push(e)}}var C=[\"toImage\"];s.showEditInChartStudio?C.push(\"editInChartStudio\"):s.showSendToCloud&&C.push(\"sendDataToCloud\"),L(C);var P=[],O=[],I=[],z=[];(v||b||m||x||_)+y+g+w+T+k>1?(O=[\"toggleHover\"],I=[\"resetViews\"]):y?(P=[\"zoomInGeo\",\"zoomOutGeo\"],O=[\"hoverClosestGeo\"],I=[\"resetGeo\"]):g?(O=[\"hoverClosest3d\"],I=[\"resetCameraDefault3d\",\"resetCameraLastSave3d\"]):w?(P=[\"zoomInMapbox\",\"zoomOutMapbox\"],O=[\"toggleHover\"],I=[\"resetViewMapbox\"]):b?O=[\"hoverClosestGl2d\"]:m?O=[\"hoverClosestPie\"]:A?(O=[\"hoverClosestCartesian\",\"hoverCompareCartesian\"],I=[\"resetViewSankey\"]):O=[\"toggleHover\"],v&&(O=[\"toggleSpikelines\",\"hoverClosestCartesian\",\"hoverCompareCartesian\"]),(function(t){for(var e=0;e<t.length;e++)if(!a.traceIs(t[e],\"noHover\"))return!1;return!0}(r)||S)&&(O=[]),!v&&!b||M||(P=[\"zoomIn2d\",\"zoomOut2d\",\"autoScale2d\"],\"resetViews\"!==I[0]&&(I=[\"resetScale2d\"])),g?z=[\"zoom3d\",\"pan3d\",\"orbitRotation\",\"tableRotation\"]:(v||b)&&!M||_?z=[\"zoom2d\",\"pan2d\"]:w||y?z=[\"pan2d\"]:T&&(z=[\"zoom2d\"]),function(t){for(var e=!1,r=0;r<t.length&&!e;r++){var n=t[r];n._module&&n._module.selectPoints&&(a.traceIs(n,\"scatter-like\")?(i.hasMarkers(n)||i.hasText(n))&&(e=!0):a.traceIs(n,\"box-violin\")&&\"all\"!==n.boxpoints&&\"all\"!==n.points||(e=!0))}return e}(r)&&z.push(\"select2d\",\"lasso2d\");var D=[],R=function(t){-1===D.indexOf(t)&&-1!==O.indexOf(t)&&D.push(t)};if(Array.isArray(p)){for(var F=[],B=0;B<p.length;B++){var N=p[B];\"string\"==typeof N?(N=N.toLowerCase(),-1!==u.indexOf(N)?(e._has(\"mapbox\")||e._has(\"cartesian\"))&&z.push(N):\"togglespikelines\"===N?R(\"toggleSpikelines\"):\"togglehover\"===N?R(\"toggleHover\"):\"hovercompare\"===N?R(\"hoverCompareCartesian\"):\"hoverclosest\"===N?(R(\"hoverClosestCartesian\"),R(\"hoverClosestGeo\"),R(\"hoverClosest3d\"),R(\"hoverClosestGl2d\"),R(\"hoverClosestPie\")):\"v1hovermode\"===N&&(R(\"toggleHover\"),R(\"hoverClosestCartesian\"),R(\"hoverCompareCartesian\"),R(\"hoverClosestGeo\"),R(\"hoverClosest3d\"),R(\"hoverClosestGl2d\"),R(\"hoverClosestPie\"))):F.push(N)}p=F}return L(z),L(P.concat(I)),L(D),function(t,e){if(e.length)if(Array.isArray(e[0]))for(var r=0;r<e.length;r++)t.push(e[r]);else t.push(e);return t}(E,p)}(t),f?f.update(t,h):e._modeBar=s(t,h)}else f&&(f.destroy(),delete e._modeBar)}},66400:function(t,e,r){\"use strict\";var n=r(33428),i=r(38248),a=r(3400),o=r(9224),s=r(25788).version,l=new DOMParser;function u(t){this.container=t.container,this.element=document.createElement(\"div\"),this.update(t.graphInfo,t.buttons),this.container.appendChild(this.element)}var c=u.prototype;c.update=function(t,e){this.graphInfo=t;var r=this.graphInfo._context,n=this.graphInfo._fullLayout,i=\"modebar-\"+n._uid;this.element.setAttribute(\"id\",i),this._uid=i,this.element.className=\"modebar\",\"hover\"===r.displayModeBar&&(this.element.className+=\" modebar--hover ease-bg\"),\"v\"===n.modebar.orientation&&(this.element.className+=\" vertical\",e=e.reverse());var o=n.modebar,s=\"hover\"===r.displayModeBar?\".js-plotly-plot .plotly:hover 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t.svg&&(e=l.parseFromString(t.svg,\"application/xml\").childNodes[0]),e.setAttribute(\"height\",\"1em\"),e.setAttribute(\"width\",\"1em\"),e},c.updateActiveButton=function(t){var e=this.graphInfo._fullLayout,r=void 0!==t?t.getAttribute(\"data-attr\"):null;this.buttonElements.forEach((function(t){var i=t.getAttribute(\"data-val\")||!0,o=t.getAttribute(\"data-attr\"),s=\"true\"===t.getAttribute(\"data-toggle\"),l=n.select(t);if(s)o===r&&l.classed(\"active\",!l.classed(\"active\"));else{var u=null===o?o:a.nestedProperty(e,o).get();l.classed(\"active\",u===i)}}))},c.hasButtons=function(t){var e=this.buttons;if(!e)return!1;if(t.length!==e.length)return!1;for(var r=0;r<t.length;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;n++)if(t[r][n].name!==e[r][n].name)return!1}return!0},c.getLogo=function(){var t=this.createGroup(),e=document.createElement(\"a\");return e.href=\"https://plotly.com/\",e.target=\"_blank\",e.setAttribute(\"data-title\",a._(this.graphInfo,\"Produced 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n=r(25376),i=r(22548),a=(0,r(31780).templatedArray)(\"button\",{visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},step:{valType:\"enumerated\",values:[\"month\",\"year\",\"day\",\"hour\",\"minute\",\"second\",\"all\"],dflt:\"month\",editType:\"plot\"},stepmode:{valType:\"enumerated\",values:[\"backward\",\"todate\"],dflt:\"backward\",editType:\"plot\"},count:{valType:\"number\",min:0,dflt:1,editType:\"plot\"},label:{valType:\"string\",editType:\"plot\"},editType:\"plot\"});t.exports={visible:{valType:\"boolean\",editType:\"plot\"},buttons:a,x:{valType:\"number\",min:-2,max:3,editType:\"plot\"},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"plot\"},y:{valType:\"number\",min:-2,max:3,editType:\"plot\"},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"bottom\",editType:\"plot\"},font:n({editType:\"plot\"}),bgcolor:{valType:\"color\",dflt:i.lightLine,editType:\"plot\"},activecolor:{valType:\"color\",editType:\"plot\"},bordercolor:{valType:\"color\",dflt:i.defaultLine,editType:\"plot\"},borderwidth:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"plot\"}},85984:function(t){\"use 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g=d(\"bgcolor\");d(\"activecolor\",i.contrast(g,l.lightAmount,l.darkAmount)),d(\"bordercolor\"),d(\"borderwidth\")}}},50216:function(t,e,r){\"use strict\";var n=r(33428),i=r(24040),a=r(7316),o=r(76308),s=r(43616),l=r(3400),u=l.strTranslate,c=r(72736),f=r(79811),h=r(84284),p=h.LINE_SPACING,d=h.FROM_TL,v=h.FROM_BR,g=r(85984),y=r(48040);function m(t){return t._id}function x(t,e,r){var n=l.ensureSingle(t,\"rect\",\"selector-rect\",(function(t){t.attr(\"shape-rendering\",\"crispEdges\")}));n.attr({rx:g.rx,ry:g.ry}),n.call(o.stroke,e.bordercolor).call(o.fill,function(t,e){return e._isActive||e._isHovered?t.activecolor:t.bgcolor}(e,r)).style(\"stroke-width\",e.borderwidth+\"px\")}function b(t,e,r,n){var i,a;l.ensureSingle(t,\"text\",\"selector-text\",(function(t){t.attr(\"text-anchor\",\"middle\")})).call(s.font,e.font).text((i=r,a=n._fullLayout._meta,i.label?a?l.templateString(i.label,a):i.label:\"all\"===i.step?\"all\":i.count+i.step.charAt(0))).call((function(t){c.convertToTspans(t,n)}))}t.exports=function(t){var e=t._fullLayout._infolayer.selectAll(\".rangeselector\").data(function(t){for(var e=f.list(t,\"x\",!0),r=[],n=0;n<e.length;n++){var i=e[n];i.rangeselector&&i.rangeselector.visible&&r.push(i)}return r}(t),m);e.enter().append(\"g\").classed(\"rangeselector\",!0),e.exit().remove(),e.style({cursor:\"pointer\",\"pointer-events\":\"all\"}),e.each((function(e){var r=n.select(this),o=e,f=o.rangeselector,h=r.selectAll(\"g.button\").data(l.filterVisible(f.buttons));h.enter().append(\"g\").classed(\"button\",!0),h.exit().remove(),h.each((function(e){var r=n.select(this),a=y(o,e);e._isActive=function(t,e,r){if(\"all\"===e.step)return!0===t.autorange;var n=Object.keys(r);return t.range[0]===r[n[0]]&&t.range[1]===r[n[1]]}(o,e,a),r.call(x,f,e),r.call(b,f,e,t),r.on(\"click\",(function(){t._dragged||i.call(\"_guiRelayout\",t,a)})),r.on(\"mouseover\",(function(){e._isHovered=!0,r.call(x,f,e)})),r.on(\"mouseout\",(function(){e._isHovered=!1,r.call(x,f,e)}))})),function(t,e,r,i,o){var f=0,h=0,y=r.borderwidth;e.each((function(){var t=n.select(this).select(\".selector-text\"),e=r.font.size*p,i=Math.max(e*c.lineCount(t),16)+3;h=Math.max(h,i)})),e.each((function(){var t=n.select(this),e=t.select(\".selector-rect\"),i=t.select(\".selector-text\"),a=i.node()&&s.bBox(i.node()).width,o=r.font.size*p,l=c.lineCount(i),d=Math.max(a+10,g.minButtonWidth);t.attr(\"transform\",u(y+f,y)),e.attr({x:0,y:0,width:d,height:h}),c.positionText(i,d/2,h/2-(l-1)*o/2+3),f+=d+5}));var m=t._fullLayout._size,x=m.l+m.w*r.x,b=m.t+m.h*(1-r.y),_=\"left\";l.isRightAnchor(r)&&(x-=f,_=\"right\"),l.isCenterAnchor(r)&&(x-=f/2,_=\"center\");var w=\"top\";l.isBottomAnchor(r)&&(b-=h,w=\"bottom\"),l.isMiddleAnchor(r)&&(b-=h/2,w=\"middle\"),f=Math.ceil(f),h=Math.ceil(h),x=Math.round(x),b=Math.round(b),a.autoMargin(t,i+\"-range-selector\",{x:r.x,y:r.y,l:f*d[_],r:f*v[_],b:h*v[w],t:h*d[w]}),o.attr(\"transform\",u(x,b))}(t,h,f,o._name,r)}))}},48040:function(t,e,r){\"use strict\";var n=r(73220),i=r(3400).titleCase;t.exports=function(t,e){var r=t._name,a={};if(\"all\"===e.step)a[r+\".autorange\"]=!0;else{var o=function(t,e){var r,a=t.range,o=new Date(t.r2l(a[1])),s=e.step,l=n[\"utc\"+i(s)],u=e.count;switch(e.stepmode){case\"backward\":r=t.l2r(+l.offset(o,-u));break;case\"todate\":var c=l.offset(o,-u);r=t.l2r(+l.ceil(c))}return[r,a[1]]}(t,e);a[r+\".range[0]\"]=o[0],a[r+\".range[1]\"]=o[1]}return a}},41152:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"rangeselector\",schema:{subplots:{xaxis:{rangeselector:r(26680)}}},layoutAttributes:r(26680),handleDefaults:r(22148),draw:r(50216)}},11200:function(t,e,r){\"use 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n=r(3400),i=r(31780),a=r(79811),o=r(11200),s=r(10936);t.exports=function(t,e,r){var l=t[r],u=e[r];if(l.rangeslider||e._requestRangeslider[u._id]){n.isPlainObject(l.rangeslider)||(l.rangeslider={});var c,f,h=l.rangeslider,p=i.newContainer(u,\"rangeslider\");if(_(\"visible\")){_(\"bgcolor\",e.plot_bgcolor),_(\"bordercolor\"),_(\"borderwidth\"),_(\"thickness\"),_(\"autorange\",!u.isValidRange(h.range)),_(\"range\");var d=e._subplots;if(d)for(var v=d.cartesian.filter((function(t){return t.substr(0,t.indexOf(\"y\"))===a.name2id(r)})).map((function(t){return t.substr(t.indexOf(\"y\"),t.length)})),g=n.simpleMap(v,a.id2name),y=0;y<g.length;y++){var m=g[y];c=h[m]||{},f=i.newContainer(p,m,\"yaxis\");var x,b=e[m];c.range&&b.isValidRange(c.range)&&(x=\"fixed\"),\"match\"!==w(\"rangemode\",x)&&w(\"range\",b.range.slice())}p._input=h}}function _(t,e){return n.coerce(h,p,o,t,e)}function w(t,e){return n.coerce(c,f,s,t,e)}}},20060:function(t,e,r){\"use strict\";var n=r(33428),i=r(24040),a=r(7316),o=r(3400),s=o.strTranslate,l=r(43616),u=r(76308),c=r(81668),f=r(57952),h=r(79811),p=r(86476),d=r(93972),v=r(74636);function g(t){return\"number\"==typeof t.clientX?t.clientX:t.touches&&t.touches.length>0?t.touches[0].clientX:0}function y(t,e,r,n){var i=o.ensureSingle(t,\"rect\",v.bgClassName,(function(t){t.attr({x:0,y:0,\"shape-rendering\":\"crispEdges\"})})),a=n.borderwidth%2==0?n.borderwidth:n.borderwidth-1,c=-n._offsetShift,f=l.crispRound(e,n.borderwidth);i.attr({width:n._width+a,height:n._height+a,transform:s(c,c),\"stroke-width\":f}).call(u.stroke,n.bordercolor).call(u.fill,n.bgcolor)}function m(t,e,r,n){var i=e._fullLayout;o.ensureSingleById(i._topdefs,\"clipPath\",n._clipId,(function(t){t.append(\"rect\").attr({x:0,y:0})})).select(\"rect\").attr({width:n._width,height:n._height})}function x(t,e,r,i){var s,u=e.calcdata,c=t.selectAll(\"g.\"+v.rangePlotClassName).data(r._subplotsWith,o.identity);c.enter().append(\"g\").attr(\"class\",(function(t){return v.rangePlotClassName+\" \"+t})).call(l.setClipUrl,i._clipId,e),c.order(),c.exit().remove(),c.each((function(t,o){var l=n.select(this),c=0===o,p=h.getFromId(e,t,\"y\"),d=p._name,v=i[d],g={data:[],layout:{xaxis:{type:r.type,domain:[0,1],range:i.range.slice(),calendar:r.calendar},width:i._width,height:i._height,margin:{t:0,b:0,l:0,r:0}},_context:e._context};r.rangebreaks&&(g.layout.xaxis.rangebreaks=r.rangebreaks),g.layout[d]={type:p.type,domain:[0,1],range:\"match\"!==v.rangemode?v.range.slice():p.range.slice(),calendar:p.calendar},p.rangebreaks&&(g.layout[d].rangebreaks=p.rangebreaks),a.supplyDefaults(g);var y=g._fullLayout.xaxis,m=g._fullLayout[d];y.clearCalc(),y.setScale(),m.clearCalc(),m.setScale();var x={id:t,plotgroup:l,xaxis:y,yaxis:m,isRangePlot:!0};c?s=x:(x.mainplot=\"xy\",x.mainplotinfo=s),f.rangePlot(e,x,function(t,e){for(var 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T,k=o.simpleMap(l.range,r.r2l),A=o.simpleMap(r.range,r.r2l);T=A[0]<A[1]?[Math.min(k[0],A[0]),Math.max(k[1],A[1])]:[Math.max(k[0],A[0]),Math.min(k[1],A[1])],l.range=l._input.range=o.simpleMap(T,r.l2r)}r.cleanRange(\"rangeslider.range\");var M=e._size,S=r.domain;l._width=M.w*(S[1]-S[0]);var E=Math.round(M.l+M.w*S[0]),L=Math.round(M.t+M.h*(1-r._counterDomainMin)+(\"bottom\"===r.side?r._depth:0)+l._offsetShift+v.extraPad);a.attr(\"transform\",s(E,L)),l._rl=o.simpleMap(l.range,r.r2l);var C=l._rl[0],P=l._rl[1],O=P-C;if(l.p2d=function(t){return t/l._width*O+C},l.d2p=function(t){return(t-C)/O*l._width},r.rangebreaks){var I=r.locateBreaks(C,P);if(I.length){var z,D,R=0;for(z=0;z<I.length;z++)R+=(D=I[z]).max-D.min;var F=l._width/(P-C-R),B=[-F*C];for(z=0;z<I.length;z++)D=I[z],B.push(B[B.length-1]-F*(D.max-D.min));for(l.d2p=function(t){for(var e=B[0],r=0;r<I.length;r++){var n=I[r];if(t>=n.max)e=B[r+1];else if(t<n.min)break}return 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r=t._fullLayout,n=e[s],l=e._id.charAt(0),u=0,c=0;return\"bottom\"===e.side&&(u=e._depth,e.title.text!==r._dfltTitle[l]&&(c=1.5*e.title.font.size+10+n._offsetShift,c+=(e.title.text.match(i.BR_TAG_ALL)||[]).length*e.title.font.size*o)),{x:0,y:e._counterDomainMin,l:0,r:0,t:0,b:n._height+u+Math.max(r.margin.b,c),pad:a.extraPad+2*n._offsetShift}}},49692:function(t,e,r){\"use strict\";var n=r(3400),i=r(11200),a=r(10936),o=r(97944);t.exports={moduleType:\"component\",name:\"rangeslider\",schema:{subplots:{xaxis:{rangeslider:n.extendFlat({},i,{yaxis:a})}}},layoutAttributes:r(11200),handleDefaults:r(94040),calcAutorange:r(26652),draw:r(20060),isVisible:o.isVisible,makeData:o.makeData,autoMarginOpts:o.autoMarginOpts}},10936:function(t){\"use 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strict\";t.exports={BENDPX:1.5,MINSELECT:12,SELECTDELAY:100,SELECTID:\"-select\"}},74224:function(t,e,r){\"use strict\";var n=r(3400),i=r(54460),a=r(51272),o=r(93956),s=r(65152);function l(t,e,r){function a(r,i){return n.coerce(t,e,o,r,i)}var l=a(\"path\"),u=\"path\"!==a(\"type\",l?\"path\":\"rect\");u&&delete e.path,a(\"opacity\"),a(\"line.color\"),a(\"line.width\"),a(\"line.dash\");for(var c=[\"x\",\"y\"],f=0;f<2;f++){var h,p,d,v=c[f],g={_fullLayout:r},y=i.coerceRef(t,e,g,v);if((h=i.getFromId(g,y))._selectionIndices.push(e._index),d=s.rangeToShapePosition(h),p=s.shapePositionToRange(h),u){var m=v+\"0\",x=v+\"1\",b=t[m],_=t[x];t[m]=p(t[m],!0),t[x]=p(t[x],!0),i.coercePosition(e,g,a,y,m),i.coercePosition(e,g,a,y,x);var w=e[m],T=e[x];void 0!==w&&void 0!==T&&(e[m]=d(w),e[x]=d(T),t[m]=b,t[x]=_)}}u&&n.noneOrAll(t,e,[\"x0\",\"x1\",\"y0\",\"y1\"])}t.exports=function(t,e){a(t,e,{name:\"selections\",handleItemDefaults:l});for(var r=e.selections,n=0;n<r.length;n++){var i=r[n];i&&void 0===i.path&&(void 0!==i.x0&&void 0!==i.x1&&void 0!==i.y0&&void 0!==i.y1||(e.selections[n]=null))}}},23640:function(t,e,r){\"use strict\";var n=r(9856).readPaths,i=r(55496),a=r(1936).clearOutlineControllers,o=r(76308),s=r(43616),l=r(31780).arrayEditor,u=r(65152),c=u.getPathString;function f(t){var e=t._fullLayout;for(var r in a(t),e._selectionLayer.selectAll(\"path\").remove(),e._plots){var n=e._plots[r].selectionLayer;n&&n.selectAll(\"path\").remove()}for(var i=0;i<e.selections.length;i++)p(t,i)}function h(t){return t._context.editSelection}function p(t,e){t._fullLayout._paperdiv.selectAll('.selectionlayer [data-index=\"'+e+'\"]').remove();var r=u.makeSelectionsOptionsAndPlotinfo(t,e),a=r.options,p=r.plotinfo;a._input&&function(r){var u=c(t,a),g={\"data-index\":e,\"fill-rule\":\"evenodd\",d:u},y=a.opacity,m=\"rgba(0,0,0,0)\",x=a.line.color||o.contrast(t._fullLayout.plot_bgcolor),b=a.line.width,_=a.line.dash;b||(b=5,_=\"solid\");var w=h(t)&&t._fullLayout._activeSelectionIndex===e;w&&(m=t._fullLayout.activeselection.fillcolor,y=t._fullLayout.activeselection.opacity);for(var T=[],k=1;k>=0;k--){var A=r.append(\"path\").attr(g).style(\"opacity\",k?.1:y).call(o.stroke,x).call(o.fill,m).call(s.dashLine,k?\"solid\":_,k?4+b:b);if(d(A,t,a),w){var M=l(t.layout,\"selections\",a);A.style({cursor:\"move\"});var S={element:A.node(),plotinfo:p,gd:t,editHelpers:M,isActiveSelection:!0},E=n(u,t);i(E,A,S)}else A.style(\"pointer-events\",k?\"all\":\"none\");T[k]=A}var L=T[0];T[1].node().addEventListener(\"click\",(function(){return function(t,e){if(h(t)){var r=+e.node().getAttribute(\"data-index\");if(r>=0){if(r===t._fullLayout._activeSelectionIndex)return void v(t);t._fullLayout._activeSelectionIndex=r,t._fullLayout._deactivateSelection=v,f(t)}}}(t,L)}))}(t._fullLayout._selectionLayer)}function d(t,e,r){var n=r.xref+r.yref;s.setClipUrl(t,\"clip\"+e._fullLayout._uid+n,e)}function v(t){h(t)&&t._fullLayout._activeSelectionIndex>=0&&(a(t),delete t._fullLayout._activeSelectionIndex,f(t))}t.exports={draw:f,drawOne:p,activateLastSelection:function(t){if(h(t)){var e=t._fullLayout.selections.length-1;t._fullLayout._activeSelectionIndex=e,t._fullLayout._deactivateSelection=v,f(t)}}}},34200:function(t,e,r){\"use strict\";var n=r(98192).u,i=r(92880).extendFlat;t.exports={newselection:{mode:{valType:\"enumerated\",values:[\"immediate\",\"gradual\"],dflt:\"immediate\",editType:\"none\"},line:{color:{valType:\"color\",editType:\"none\"},width:{valType:\"number\",min:1,dflt:1,editType:\"none\"},dash:i({},n,{dflt:\"dot\",editType:\"none\"}),editType:\"none\"},editType:\"none\"},activeselection:{fillcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"none\"},opacity:{valType:\"number\",min:0,max:1,dflt:.5,editType:\"none\"},editType:\"none\"}}},81004:function(t){\"use 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m,x=o(a,u,f,d),b={xref:h._id,yref:p._id,opacity:c.opacity,line:{color:c.line.color,width:c.line.width,dash:c.line.dash}};1===x.length&&(m=x[0]),m&&5===m.length&&\"select\"===v?(b.type=\"rect\",b.x0=m[0][1],b.y0=m[0][2],b.x1=m[2][1],b.y1=m[2][2]):(b.type=\"path\",h&&p&&l(x,h,p),b.path=s(x),m=null),i(u);for(var _=e.editHelpers,w=(_||{}).modifyItem,T=[],k=0;k<g.length;k++){var A=u._fullLayout.selections[k];if(A){if(T[k]=A._input,void 0!==d&&k===u._fullLayout._activeSelectionIndex){var M=b;switch(A.type){case\"rect\":w(\"x0\",M.x0),w(\"x1\",M.x1),w(\"y0\",M.y0),w(\"y1\",M.y1);break;case\"path\":w(\"path\",M.path)}}}else T[k]=A}return void 0===d?(T.push(b),T):_?_.getUpdateObj():{}}}}},5840:function(t,e,r){\"use strict\";var n=r(3400).strTranslate;function i(t,e){switch(t.type){case\"log\":return t.p2d(e);case\"date\":return t.p2r(e,0,t.calendar);default:return t.p2r(e)}}t.exports={p2r:i,r2p:function(t,e){switch(t.type){case\"log\":return t.d2p(e);case\"date\":return t.r2p(e,0,t.calendar);default:return t.r2p(e)}},axValue:function(t){var e=\"y\"===t._id.charAt(0)?1:0;return function(r){return i(t,r[e])}},getTransform:function(t){return n(t.xaxis._offset,t.yaxis._offset)}}},22676:function(t,e,r){\"use strict\";var n=r(23640),i=r(43156);t.exports={moduleType:\"component\",name:\"selections\",layoutAttributes:r(93956),supplyLayoutDefaults:r(74224),supplyDrawNewSelectionDefaults:r(81004),includeBasePlot:r(36632)(\"selections\"),draw:n.draw,drawOne:n.drawOne,reselect:i.reselect,prepSelect:i.prepSelect,clearOutline:i.clearOutline,clearSelectionsCache:i.clearSelectionsCache,selectOnClick:i.selectOnClick}},43156:function(t,e,r){\"use strict\";var n=r(14756),i=r(61456),a=r(24040),o=r(43616).dashStyle,s=r(76308),l=r(93024),u=r(10624).makeEventData,c=r(72760),f=c.freeMode,h=c.rectMode,p=c.drawMode,d=c.openMode,v=c.selectMode,g=r(65152),y=r(85448),m=r(55496),x=r(1936).clearOutline,b=r(9856),_=b.handleEllipse,w=b.readPaths,T=r(93940).newShapes,k=r(5968),A=r(23640).activateLastSelection,M=r(3400),S=M.sorterAsc,E=r(92065),L=r(91200),C=r(79811).getFromId,P=r(73696),O=r(39172).redrawReglTraces,I=r(83280),z=I.MINSELECT,D=E.filter,R=E.tester,F=r(5840),B=F.p2r,N=F.axValue,j=F.getTransform;function U(t){return void 0!==t.subplot}function V(t,e,r,n,i,a,o){var s,l,u,c,f,h,p,v,g,y=e._hoverdata,x=e._fullLayout.clickmode.indexOf(\"event\")>-1,b=[];if(function(t){return t&&Array.isArray(t)&&!0!==t[0].hoverOnBox}(y)){W(t,e,a);var _=function(t,e){var r,n,i=t[0],a=-1,o=[];for(n=0;n<e.length;n++)if(r=e[n],i.fullData._expandedIndex===r.cd[0].trace._expandedIndex){if(!0===i.hoverOnBox)break;void 0!==i.pointNumber?a=i.pointNumber:void 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u,c,f=o.selectAll(\".select-outline-\"+n.id);f&&i._fullLayout._outlining&&(s&&(u=T(f,t)),u&&a.call(\"_guiRelayout\",i,{shapes:u}),l&&!U(t)&&(c=k(f,t)),c&&(i._fullLayout._noEmitSelectedAtStart=!0,a.call(\"_guiRelayout\",i,{selections:c}).then((function(){e&&A(i)}))),i._fullLayout._outlining=!1)}n.selection={},n.selection.selectionDefs=t.selectionDefs=[],n.selection.mergedPolygons=t.mergedPolygons=[]}function X(t){return t._id}function Z(t,e,r,n){if(!t.calcdata)return[];var i,a,o,s=[],l=e.map(X),u=r.map(X);for(o=0;o<t.calcdata.length;o++)if(!0===(a=(i=t.calcdata[o])[0].trace).visible&&a._module&&a._module.selectPoints)if(!U({subplot:n})||a.subplot!==n&&a.geo!==n)if(\"splom\"===a.type){if(a._xaxes[l[0]]&&a._yaxes[u[0]]){var c=K(a._module,i,e[0],r[0]);c.scene=t._fullLayout._splomScenes[a.uid],s.push(c)}}else if(\"sankey\"===a.type){var 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if(\"path\"===s.type)for(var T=s.path.split(\"Z\"),k=[],A=0;A<T.length;A++){var M=T[A];if(M){M+=\"Z\";var S=g.extractPathCoords(M,y.paramIsX,\"raw\"),E=g.extractPathCoords(M,y.paramIsY,\"raw\");l=1/0,u=-1/0,c=1/0,f=-1/0,h=[];for(var L=0;L<S.length;L++){var P=lt(v,S[L]),O=lt(m,E[L]);h.push([P,O]),l=Math.min(P,l),u=Math.max(P,u),c=Math.min(O,c),f=Math.max(O,f)}h.xmin=l,h.xmax=u,h.ymin=c,h.ymax=f,h.xref=p,h.yref=d,h.subtract=st(h,k),k.push(h),r.push(h)}}}}return r}function st(t,e){for(var r=!1,n=0;n<e.length;n++)for(var a=e[n],o=0;o<t.length;o++)if(i(t[o],a)){r=!r;break}return r}function lt(t,e){return\"date\"===t.type&&(e=e.replace(\"_\",\" \")),\"log\"===t.type?t.c2p(e):t.r2p(e,null,t.calendar)}function ut(t){for(var e=t.length,r=[],n=0;n<e;n++){var 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s=A.selections[o];s.xref!==t||s.yref!==e?n.push(r[o]):i=!0}i&&(k._fullLayout._noEmitSelectedAtStart=!0,a.call(\"_guiRelayout\",k,{selections:n}))}});var Lt=function(t){return t.plotinfo.fillRangeItems||ct(t.xaxes.concat(t.yaxes))}(n);n.moveFn=function(t,e){n._clearSubplotSelections&&(n._clearSubplotSelections(),n._clearSubplotSelections=void 0),lt=Math.max(0,Math.min(yt,ot*t+F)),pt=Math.max(0,Math.min(mt,st*e+B));var r=Math.abs(lt-F),i=Math.abs(pt-B);if(g){var a,o,s;if(b){var 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s=[],u=k._fullLayout.selections,c=0;c<u.length;c++){var f=u[c];f&&(f.xref===i._id&&f.yref===o._id||s.push(f))}s.length<u.length&&(k._fullLayout._noEmitSelectedAtStart=!0,a.call(\"_guiRelayout\",k,{selections:s}))}}}else r.indexOf(\"select\")>-1&&V(e,k,n.xaxes,n.yaxes,n.subplot,n,bt),\"event\"===r&&ft(k,void 0);l.click(k,e,P.id)})).catch(M.error)}},n.doneFn=function(){kt.remove(),L.done(Mt).then((function(){L.clear(Mt),!S&&K&&n.selectionDefs&&(K.subtract=xt,n.selectionDefs.push(K),n.mergedPolygons.length=0,[].push.apply(n.mergedPolygons,X)),(S||x)&&Y(n,S),n.doneFnCompleted&&n.doneFnCompleted(St),b&&ft(k,at)})).catch(M.error)}},clearOutline:x,clearSelectionsCache:Y,selectOnClick:V}},46056:function(t,e,r){\"use strict\";var 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n=r(3400),i=r(54460),a=r(72736),o=r(43616),s=r(9856).readPaths,l=r(65152),u=l.getPathString,c=r(97728),f=r(84284).FROM_TL;t.exports=function(t,e,r,h){if(h.selectAll(\".shape-label\").remove(),r.label.text||r.label.texttemplate){var p;if(r.label.texttemplate){var d={};if(\"path\"!==r.type){var v=i.getFromId(t,r.xref),g=i.getFromId(t,r.yref);for(var y in c){var m=c[y](r,v,g);void 0!==m&&(d[y]=m)}}p=n.texttemplateStringForShapes(r.label.texttemplate,{},t._fullLayout._d3locale,d)}else p=r.label.text;var x,b,_,w,T={\"data-index\":e},k=r.label.font,A=h.append(\"g\").attr(T).classed(\"shape-label\",!0).append(\"text\").attr({\"data-notex\":1}).classed(\"shape-label-text\",!0).text(p);if(r.path){var M=u(t,r),S=s(M,t);x=1/0,_=1/0,b=-1/0,w=-1/0;for(var E=0;E<S.length;E++)for(var L=0;L<S[E].length;L++)for(var C=S[E][L],P=1;P<C.length;P+=2){var O=C[P],I=C[P+1];x=Math.min(x,O),b=Math.max(b,O),_=Math.min(_,I),w=Math.max(w,I)}}else{var 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n,i=t[0][0],o=e.gd,p=i.getAttribute(\"d\"),g=o._fullLayout.newshape,y=e.plotinfo,w=e.isActiveShape,T=y.xaxis,k=y.yaxis,A=!!y.domain||!y.xaxis,M=!!y.domain||!y.yaxis,S=a(r),E=m(p,o,y,w),L={editable:!0,visible:g.visible,name:g.name,showlegend:g.showlegend,legend:g.legend,legendwidth:g.legendwidth,legendgroup:g.legendgroup,legendgrouptitle:{text:g.legendgrouptitle.text,font:g.legendgrouptitle.font},legendrank:g.legendrank,label:g.label,xref:A?\"paper\":T._id,yref:M?\"paper\":k._id,layer:g.layer,opacity:g.opacity,line:{color:g.line.color,width:g.line.width,dash:g.line.dash}};if(S||(L.fillcolor=g.fillcolor,L.fillrule=g.fillrule),1===E.length&&(n=E[0]),n&&5===n.length&&\"drawrect\"===r)L.type=\"rect\",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[2][1],L.y1=n[2][2];else if(n&&\"drawline\"===r)L.type=\"line\",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[1][1],L.y1=n[1][2];else if(n&&\"drawcircle\"===r){L.type=\"circle\";var C=n[s][1],P=n[l][1],O=n[u][1],I=n[c][1],z=n[s][2],D=n[l][2],R=n[u][2],F=n[c][2],B=y.xaxis&&(\"date\"===y.xaxis.type||\"log\"===y.xaxis.type),N=y.yaxis&&(\"date\"===y.yaxis.type||\"log\"===y.yaxis.type);B&&(C=v(y.xaxis,C),P=v(y.xaxis,P),O=v(y.xaxis,O),I=v(y.xaxis,I)),N&&(z=v(y.yaxis,z),D=v(y.yaxis,D),R=v(y.yaxis,R),F=v(y.yaxis,F));var j=(P+I)/2,U=(z+R)/2,V=b({x0:j,y0:U,x1:j+(I-P+O-C)/2*f,y1:U+(F-D+R-z)/2*h});B&&(V.x0=d(y.xaxis,V.x0),V.x1=d(y.xaxis,V.x1)),N&&(V.y0=d(y.yaxis,V.y0),V.y1=d(y.yaxis,V.y1)),L.x0=V.x0,L.y0=V.y0,L.x1=V.x1,L.y1=V.y1}else L.type=\"path\",T&&k&&_(E,T,k),L.path=x(E),n=null;return L}t.exports={newShapes:function(t,e){if(t.length&&t[0][0]){var r=e.gd,n=e.isActiveShape,a=e.dragmode,o=(r.layout||{}).shapes||[];if(!i(a)&&void 0!==n){var s=r._fullLayout._activeShapeIndex;if(s<o.length)switch(r._fullLayout.shapes[s].type){case\"rect\":a=\"drawrect\";break;case\"circle\":a=\"drawcircle\";break;case\"line\":a=\"drawline\";break;case\"path\":var l=o[s].path||\"\";a=\"Z\"===l[l.length-1]?\"drawclosedpath\":\"drawopenpath\"}}var u=w(t,e,a);g(r);for(var c=e.editHelpers,f=(c||{}).modifyItem,h=[],p=0;p<o.length;p++){var d=r._fullLayout.shapes[p];if(h[p]=d._input,void 0!==n&&p===r._fullLayout._activeShapeIndex){var v=u;switch(d.type){case\"line\":case\"rect\":case\"circle\":f(\"x0\",v.x0),f(\"x1\",v.x1),f(\"y0\",v.y0),f(\"y1\",v.y1);break;case\"path\":f(\"path\",v.path)}}}return void 0===n?(h.push(u),h):c?c.getUpdateObj():{}}},createShapeObj:w}},1936:function(t){\"use strict\";t.exports={clearOutlineControllers:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".outline-controllers\").remove()},clearOutline:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".select-outline\").remove(),t._fullLayout._outlining=!1}}},65152:function(t,e,r){\"use strict\";var n=r(85448),i=r(3400),a=r(54460);e.rangeToShapePosition=function(t){return\"log\"===t.type?t.r2d:function(t){return t}},e.shapePositionToRange=function(t){return\"log\"===t.type?t.d2r:function(t){return t}},e.decodeDate=function(t){return function(e){return e.replace&&(e=e.replace(\"_\",\" \")),t(e)}},e.encodeDate=function(t){return function(e){return t(e).replace(\" \",\"_\")}},e.extractPathCoords=function(t,e,r){var a=[];return t.match(n.segmentRE).forEach((function(t){var o=e[t.charAt(0)].drawn;if(void 0!==o){var s=t.substr(1).match(n.paramRE);if(s&&!(s.length<o)){var l=s[o],u=r?l:i.cleanNumber(l);a.push(u)}}})),a},e.getDataToPixel=function(t,r,n,i){var a,o=t._fullLayout._size;if(r)if(\"domain\"===i)a=function(t){return r._length*(n?1-t:t)+r._offset};else{var s=e.shapePositionToRange(r);a=function(t){return r._offset+r.r2p(s(t,!0))},\"date\"===r.type&&(a=e.decodeDate(a))}else a=n?function(t){return o.t+o.h*(1-t)}:function(t){return o.l+o.w*t};return a},e.getPixelToData=function(t,r,n,i){var a,o=t._fullLayout._size;if(r)if(\"domain\"===i)a=function(t){var e=(t-r._offset)/r._length;return n?1-e:e};else{var s=e.rangeToShapePosition(r);a=function(t){return s(r.p2r(t-r._offset))}}else a=n?function(t){return 1-(t-o.t)/o.h}:function(t){return(t-o.l)/o.w};return a},e.roundPositionForSharpStrokeRendering=function(t,e){var r=1===Math.round(e%2),n=Math.round(t);return r?n+.5:n},e.makeShapesOptionsAndPlotinfo=function(t,e){var r=t._fullLayout.shapes[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return n?n._hadPlotinfo=!0:(n={},r.xref&&\"paper\"!==r.xref&&(n.xaxis=t._fullLayout[r.xref+\"axis\"]),r.yref&&\"paper\"!==r.yref&&(n.yaxis=t._fullLayout[r.yref+\"axis\"])),n.xsizemode=r.xsizemode,n.ysizemode=r.ysizemode,n.xanchor=r.xanchor,n.yanchor=r.yanchor,{options:r,plotinfo:n}},e.makeSelectionsOptionsAndPlotinfo=function(t,e){var r=t._fullLayout.selections[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return n?n._hadPlotinfo=!0:(n={},r.xref&&(n.xaxis=t._fullLayout[r.xref+\"axis\"]),r.yref&&(n.yaxis=t._fullLayout[r.yref+\"axis\"])),{options:r,plotinfo:n}},e.getPathString=function(t,r){var o,s,l,u,c,f,h,p,d=r.type,v=a.getRefType(r.xref),g=a.getRefType(r.yref),y=a.getFromId(t,r.xref),m=a.getFromId(t,r.yref),x=t._fullLayout._size;if(y?\"domain\"===v?s=function(t){return y._offset+y._length*t}:(o=e.shapePositionToRange(y),s=function(t){return y._offset+y.r2p(o(t,!0))}):s=function(t){return x.l+x.w*t},m?\"domain\"===g?u=function(t){return m._offset+m._length*(1-t)}:(l=e.shapePositionToRange(m),u=function(t){return m._offset+m.r2p(l(t,!0))}):u=function(t){return x.t+x.h*(1-t)},\"path\"===d)return y&&\"date\"===y.type&&(s=e.decodeDate(s)),m&&\"date\"===m.type&&(u=e.decodeDate(u)),function(t,e,r){var a=t.path,o=t.xsizemode,s=t.ysizemode,l=t.xanchor,u=t.yanchor;return a.replace(n.segmentRE,(function(t){var a=0,c=t.charAt(0),f=n.paramIsX[c],h=n.paramIsY[c],p=n.numParams[c],d=t.substr(1).replace(n.paramRE,(function(t){return f[a]?t=\"pixel\"===o?e(l)+Number(t):e(t):h[a]&&(t=\"pixel\"===s?r(u)-Number(t):r(t)),++a>p&&(t=\"X\"),t}));return a>p&&(d=d.replace(/[\\s,]*X.*/,\"\"),i.log(\"Ignoring extra params in segment \"+t)),c+d}))}(r,s,u);if(\"pixel\"===r.xsizemode){var b=s(r.xanchor);c=b+r.x0,f=b+r.x1}else c=s(r.x0),f=s(r.x1);if(\"pixel\"===r.ysizemode){var _=u(r.yanchor);h=_-r.y0,p=_-r.y1}else h=u(r.y0),p=u(r.y1);if(\"line\"===d)return\"M\"+c+\",\"+h+\"L\"+f+\",\"+p;if(\"rect\"===d)return\"M\"+c+\",\"+h+\"H\"+f+\"V\"+p+\"H\"+c+\"Z\";var w=(c+f)/2,T=(h+p)/2,k=Math.abs(w-c),A=Math.abs(T-h),M=\"A\"+k+\",\"+A,S=w+k+\",\"+T;return\"M\"+S+M+\" 0 1,1 \"+w+\",\"+(T-A)+M+\" 0 0,1 \"+S+\"Z\"}},41592:function(t,e,r){\"use strict\";var n=r(4016);t.exports={moduleType:\"component\",name:\"shapes\",layoutAttributes:r(46056),supplyLayoutDefaults:r(43712),supplyDrawNewShapeDefaults:r(65144),includeBasePlot:r(36632)(\"shapes\"),calcAutorange:r(96084),draw:n.draw,drawOne:n.drawOne}},97728:function(t){\"use strict\";function e(t,e){return e?e.d2l(t):t}function r(t,e){return e?e.l2d(t):t}function n(t,r){return e(t.x1,r)-e(t.x0,r)}function i(t,r,n){return e(t.y1,n)-e(t.y0,n)}t.exports={x0:function(t){return t.x0},x1:function(t){return t.x1},y0:function(t){return t.y0},y1:function(t){return t.y1},slope:function(t,e,r){return\"line\"!==t.type?void 0:i(t,0,r)/n(t,e)},dx:n,dy:i,width:function(t,e){return Math.abs(n(t,e))},height:function(t,e,r){return Math.abs(i(t,0,r))},length:function(t,e,r){return\"line\"!==t.type?void 0:Math.sqrt(Math.pow(n(t,e),2)+Math.pow(i(t,0,r),2))},xcenter:function(t,n){return r((e(t.x1,n)+e(t.x0,n))/2,n)},ycenter:function(t,n,i){return r((e(t.y1,i)+e(t.y0,i))/2,i)}}},89861:function(t,e,r){\"use strict\";var n=r(25376),i=r(66741),a=r(92880).extendDeepAll,o=r(67824).overrideAll,s=r(85656),l=r(31780).templatedArray,u=r(60876),c=l(\"step\",{visible:{valType:\"boolean\",dflt:!0},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\"},value:{valType:\"string\"},execute:{valType:\"boolean\",dflt:!0}});t.exports=o(l(\"slider\",{visible:{valType:\"boolean\",dflt:!0},active:{valType:\"number\",min:0,dflt:0},steps:c,lenmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"fraction\"},len:{valType:\"number\",min:0,dflt:1},x:{valType:\"number\",min:-2,max:3,dflt:0},pad:a(i({editType:\"arraydraw\"}),{},{t:{dflt:20}}),xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\"},y:{valType:\"number\",min:-2,max:3,dflt:0},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},transition:{duration:{valType:\"number\",min:0,dflt:150},easing:{valType:\"enumerated\",values:s.transition.easing.values,dflt:\"cubic-in-out\"}},currentvalue:{visible:{valType:\"boolean\",dflt:!0},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\"},offset:{valType:\"number\",dflt:10},prefix:{valType:\"string\"},suffix:{valType:\"string\"},font:n({})},font:n({}),activebgcolor:{valType:\"color\",dflt:u.gripBgActiveColor},bgcolor:{valType:\"color\",dflt:u.railBgColor},bordercolor:{valType:\"color\",dflt:u.railBorderColor},borderwidth:{valType:\"number\",min:0,dflt:u.railBorderWidth},ticklen:{valType:\"number\",min:0,dflt:u.tickLength},tickcolor:{valType:\"color\",dflt:u.tickColor},tickwidth:{valType:\"number\",min:0,dflt:1},minorticklen:{valType:\"number\",min:0,dflt:u.minorTickLength}}),\"arraydraw\",\"from-root\")},60876:function(t){\"use strict\";t.exports={name:\"sliders\",containerClassName:\"slider-container\",groupClassName:\"slider-group\",inputAreaClass:\"slider-input-area\",railRectClass:\"slider-rail-rect\",railTouchRectClass:\"slider-rail-touch-rect\",gripRectClass:\"slider-grip-rect\",tickRectClass:\"slider-tick-rect\",inputProxyClass:\"slider-input-proxy\",labelsClass:\"slider-labels\",labelGroupClass:\"slider-label-group\",labelClass:\"slider-label\",currentValueClass:\"slider-current-value\",railHeight:5,menuIndexAttrName:\"slider-active-index\",autoMarginIdRoot:\"slider-\",minWidth:30,minHeight:30,textPadX:40,arrowOffsetX:4,railRadius:2,railWidth:5,railBorder:4,railBorderWidth:1,railBorderColor:\"#bec8d9\",railBgColor:\"#f8fafc\",railInset:8,stepInset:10,gripRadius:10,gripWidth:20,gripHeight:20,gripBorder:20,gripBorderWidth:1,gripBorderColor:\"#bec8d9\",gripBgColor:\"#f6f8fa\",gripBgActiveColor:\"#dbdde0\",labelPadding:8,labelOffset:0,tickWidth:1,tickColor:\"#333\",tickOffset:25,tickLength:7,minorTickOffset:25,minorTickColor:\"#333\",minorTickLength:4,currentValuePadding:8,currentValueInset:0}},8132:function(t,e,r){\"use 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n.coerce(t,e,s,r,i)}if(\"skip\"===t.method||Array.isArray(t.args)?r(\"visible\"):e.visible=!1){r(\"method\"),r(\"args\");var i=r(\"label\",\"step-\"+e._index);r(\"value\",i),r(\"execute\")}}t.exports=function(t,e){i(t,e,{name:o,handleItemDefaults:l})}},79664:function(t,e,r){\"use strict\";var n=r(33428),i=r(7316),a=r(76308),o=r(43616),s=r(3400),l=s.strTranslate,u=r(72736),c=r(31780).arrayEditor,f=r(60876),h=r(84284),p=h.LINE_SPACING,d=h.FROM_TL,v=h.FROM_BR;function g(t){return f.autoMarginIdRoot+t._index}function y(t){return t._index}function m(t,e){var r=o.tester.selectAll(\"g.\"+f.labelGroupClass).data(e._visibleSteps);r.enter().append(\"g\").classed(f.labelGroupClass,!0);var a=0,l=0;r.each((function(t){var r=_(n.select(this),{step:t},e).node();if(r){var i=o.bBox(r);l=Math.max(l,i.height),a=Math.max(a,i.width)}})),r.remove();var c=e._dims={};c.inputAreaWidth=Math.max(f.railWidth,f.gripHeight);var h=t._fullLayout._size;c.lx=h.l+h.w*e.x,c.ly=h.t+h.h*(1-e.y),\"fraction\"===e.lenmode?c.outerLength=Math.round(h.w*e.len):c.outerLength=e.len,c.inputAreaStart=0,c.inputAreaLength=Math.round(c.outerLength-e.pad.l-e.pad.r);var p=(c.inputAreaLength-2*f.stepInset)/(e._stepCount-1),y=a+f.labelPadding;if(c.labelStride=Math.max(1,Math.ceil(y/p)),c.labelHeight=l,c.currentValueMaxWidth=0,c.currentValueHeight=0,c.currentValueTotalHeight=0,c.currentValueMaxLines=1,e.currentvalue.visible){var m=o.tester.append(\"g\");r.each((function(t){var r=x(m,e,t.label),n=r.node()&&o.bBox(r.node())||{width:0,height:0},i=u.lineCount(r);c.currentValueMaxWidth=Math.max(c.currentValueMaxWidth,Math.ceil(n.width)),c.currentValueHeight=Math.max(c.currentValueHeight,Math.ceil(n.height)),c.currentValueMaxLines=Math.max(c.currentValueMaxLines,i)})),c.currentValueTotalHeight=c.currentValueHeight+e.currentvalue.offset,m.remove()}c.height=c.currentValueTotalHeight+f.tickOffset+e.ticklen+f.labelOffset+c.labelHeight+e.pad.t+e.pad.b;var b=\"left\";s.isRightAnchor(e)&&(c.lx-=c.outerLength,b=\"right\"),s.isCenterAnchor(e)&&(c.lx-=c.outerLength/2,b=\"center\");var w=\"top\";s.isBottomAnchor(e)&&(c.ly-=c.height,w=\"bottom\"),s.isMiddleAnchor(e)&&(c.ly-=c.height/2,w=\"middle\"),c.outerLength=Math.ceil(c.outerLength),c.height=Math.ceil(c.height),c.lx=Math.round(c.lx),c.ly=Math.round(c.ly);var T={y:e.y,b:c.height*v[w],t:c.height*d[w]};\"fraction\"===e.lenmode?(T.l=0,T.xl=e.x-e.len*d[b],T.r=0,T.xr=e.x+e.len*v[b]):(T.x=e.x,T.l=c.outerLength*d[b],T.r=c.outerLength*v[b]),i.autoMargin(t,g(e),T)}function x(t,e,r){if(e.currentvalue.visible){var n,i,a=e._dims;switch(e.currentvalue.xanchor){case\"right\":n=a.inputAreaLength-f.currentValueInset-a.currentValueMaxWidth,i=\"left\";break;case\"center\":n=.5*a.inputAreaLength,i=\"middle\";break;default:n=f.currentValueInset,i=\"left\"}var l=s.ensureSingle(t,\"text\",f.labelClass,(function(t){t.attr({\"text-anchor\":i,\"data-notex\":1})})),c=e.currentvalue.prefix?e.currentvalue.prefix:\"\";if(\"string\"==typeof r)c+=r;else{var h=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(h=s.templateString(h,d)),c+=h}e.currentvalue.suffix&&(c+=e.currentvalue.suffix),l.call(o.font,e.currentvalue.font).text(c).call(u.convertToTspans,e._gd);var v=u.lineCount(l),g=(a.currentValueMaxLines+1-v)*e.currentvalue.font.size*p;return u.positionText(l,n,g),l}}function b(t,e,r){s.ensureSingle(t,\"rect\",f.gripRectClass,(function(n){n.call(A,e,t,r).style(\"pointer-events\",\"all\")})).attr({width:f.gripWidth,height:f.gripHeight,rx:f.gripRadius,ry:f.gripRadius}).call(a.stroke,r.bordercolor).call(a.fill,r.bgcolor).style(\"stroke-width\",r.borderwidth+\"px\")}function _(t,e,r){var n=s.ensureSingle(t,\"text\",f.labelClass,(function(t){t.attr({\"text-anchor\":\"middle\",\"data-notex\":1})})),i=e.step.label,a=r._gd._fullLayout._meta;return a&&(i=s.templateString(i,a)),n.call(o.font,r.font).text(i).call(u.convertToTspans,r._gd),n}function w(t,e){var r=s.ensureSingle(t,\"g\",f.labelsClass),i=e._dims,a=r.selectAll(\"g.\"+f.labelGroupClass).data(i.labelSteps);a.enter().append(\"g\").classed(f.labelGroupClass,!0),a.exit().remove(),a.each((function(t){var r=n.select(this);r.call(_,t,e),o.setTranslate(r,E(e,t.fraction),f.tickOffset+e.ticklen+e.font.size*p+f.labelOffset+i.currentValueTotalHeight)}))}function T(t,e,r,n,i){var a=Math.round(n*(r._stepCount-1)),o=r._visibleSteps[a]._index;o!==r.active&&k(t,e,r,o,!0,i)}function k(t,e,r,n,a,o){var s=r.active;r.active=n,c(t.layout,f.name,r).applyUpdate(\"active\",n);var l=r.steps[r.active];e.call(S,r,o),e.call(x,r),t.emit(\"plotly_sliderchange\",{slider:r,step:r.steps[r.active],interaction:a,previousActive:s}),l&&l.method&&a&&(e._nextMethod?(e._nextMethod.step=l,e._nextMethod.doCallback=a,e._nextMethod.doTransition=o):(e._nextMethod={step:l,doCallback:a,doTransition:o},e._nextMethodRaf=window.requestAnimationFrame((function(){var r=e._nextMethod.step;r.method&&(r.execute&&i.executeAPICommand(t,r.method,r.args),e._nextMethod=null,e._nextMethodRaf=null)}))))}function A(t,e,r){if(!e._context.staticPlot){var i=r.node(),o=n.select(e);t.on(\"mousedown\",l),t.on(\"touchstart\",l)}function s(){return r.data()[0]}function l(){var t=s();e.emit(\"plotly_sliderstart\",{slider:t});var 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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),C&&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 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t.append(\"path\").attr(\"class\",\"zoombox\").style({fill:e>.2?\"rgba(0,0,0,0)\":\"rgba(255,255,255,0)\",\"stroke-width\":0}).attr(\"transform\",u(r,n)).attr(\"d\",i+\"Z\")}function j(t,e,r){return t.append(\"path\").attr(\"class\",\"zoombox-corners\").style({fill:f.background,stroke:f.defaultLine,\"stroke-width\":1,opacity:0}).attr(\"transform\",u(e,r)).attr(\"d\",\"M0,0Z\")}function U(t,e,r,n,i,a){t.attr(\"d\",n+\"M\"+r.l+\",\"+r.t+\"v\"+r.h+\"h\"+r.w+\"v-\"+r.h+\"h-\"+r.w+\"Z\"),V(t,e,i,a)}function V(t,e,r,n){r||(t.transition().style(\"fill\",n>.2?\"rgba(0,0,0,0.4)\":\"rgba(255,255,255,0.3)\").duration(200),e.transition().style(\"opacity\",1).duration(200))}function q(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}function H(t){O&&t.data&&t._context.showTips&&(i.notifier(i._(t,\"Double-click to zoom back out\"),\"long\"),O=!1)}function G(t){var e=Math.floor(Math.min(t.b-t.t,t.r-t.l,P)/2);return\"M\"+(t.l-3.5)+\",\"+(t.t-.5+e)+\"h3v\"+-e+\"h\"+e+\"v-3h-\"+(e+3)+\"ZM\"+(t.r+3.5)+\",\"+(t.t-.5+e)+\"h-3v\"+-e+\"h\"+-e+\"v-3h\"+(e+3)+\"ZM\"+(t.r+3.5)+\",\"+(t.b+.5-e)+\"h-3v\"+e+\"h\"+-e+\"v3h\"+(e+3)+\"ZM\"+(t.l-3.5)+\",\"+(t.b+.5-e)+\"h3v\"+e+\"h\"+e+\"v3h-\"+(e+3)+\"Z\"}function W(t,e,r,n,a){for(var o,s,l,u,c=!1,f={},h={},p=(a||{}).xaHash,d=(a||{}).yaHash,v=0;v<e.length;v++){var g=e[v];for(o in r)if(g[o]){for(l in g)a&&(p[l]||d[l])||(\"x\"===l.charAt(0)?r:n)[l]||(f[l]=o);for(s in n)a&&(p[s]||d[s])||!g[s]||(c=!0)}for(s in n)if(g[s])for(u in g)a&&(p[u]||d[u])||(\"x\"===u.charAt(0)?r:n)[u]||(h[u]=s)}c&&(i.extendFlat(f,h),h={});var y={},m=[];for(l in f){var x=k(t,l);m.push(x),y[x._id]=x}var b={},_=[];for(u in h){var w=k(t,u);_.push(w),b[w._id]=w}return{xaHash:y,yaHash:b,xaxes:m,yaxes:_,xLinks:f,yLinks:h,isSubplotConstrained:c}}function Y(t,e){if(s){var r=void 0!==t.onwheel?\"wheel\":\"mousewheel\";t._onwheel&&t.removeEventListener(r,t._onwheel),t._onwheel=e,t.addEventListener(r,e,{passive:!1})}else void 0!==t.onwheel?t.onwheel=e:void 0!==t.onmousewheel?t.onmousewheel=e:t.isAddedWheelEvent||(t.isAddedWheelEvent=!0,t.addEventListener(\"wheel\",e,{passive:!1}))}function X(t){var e=[];for(var r in t)e.push(t[r]);return e}t.exports={makeDragBox:function(t,e,r,s,u,f,v,y){var O,I,V,Z,K,J,$,Q,tt,et,rt,nt,it,at,ot,st,lt,ut,ct,ft,ht,pt,dt,vt=t._fullLayout._zoomlayer,gt=v+y===\"nsew\",yt=1===(v+y).length;function mt(){if(O=e.xaxis,I=e.yaxis,tt=O._length,et=I._length,$=O._offset,Q=I._offset,(V={})[O._id]=O,(Z={})[I._id]=I,v&&y)for(var r=e.overlays,n=0;n<r.length;n++){var i=r[n].xaxis;V[i._id]=i;var a=r[n].yaxis;Z[a._id]=a}K=X(V),J=X(Z),it=D(K,y),at=D(J,v),ot=!at&&!it,nt=W(t,t._fullLayout._axisMatchGroups,V,Z);var o=(rt=W(t,t._fullLayout._axisConstraintGroups,V,Z,nt)).isSubplotConstrained||nt.isSubplotConstrained;st=y||o,lt=v||o;var s=t._fullLayout;ut=s._has(\"scattergl\"),ct=s._has(\"splom\"),ft=s._has(\"svg\")}r+=e.yaxis._shift,mt();var xt=function(t,e,r){return t?\"nsew\"===t?r?\"\":\"pan\"===e?\"move\":\"crosshair\":t.toLowerCase()+\"-resize\":\"pointer\"}(at+it,t._fullLayout.dragmode,gt),bt=z(e,v+y+\"drag\",xt,r,s,u,f);if(ot&&!gt)return bt.onmousedown=null,bt.style.pointerEvents=\"none\",bt;var _t,wt,Tt,kt,At,Mt,St,Et,Lt,Ct,Pt={element:bt,gd:t,plotinfo:e};function Ot(){Pt.plotinfo.selection=!1,M(t)}function It(t,r){var i=Pt.gd;if(i._fullLayout._activeShapeIndex>=0)i._fullLayout._deactivateShape(i);else{var o=i._fullLayout.clickmode;if(q(i),2!==t||yt||Ht(),gt)o.indexOf(\"select\")>-1&&S(r,i,K,J,e.id,Pt),o.indexOf(\"event\")>-1&&p.click(i,r,e.id);else if(1===t&&yt){var s=v?I:O,u=\"s\"===v||\"w\"===y?0:1,f=s._name+\".range[\"+u+\"]\",h=function(t,e){var r,n=t.range[e],i=Math.abs(n-t.range[1-e]);return\"date\"===t.type?n:\"log\"===t.type?(r=Math.ceil(Math.max(0,-Math.log(i)/Math.LN10))+3,a(\".\"+r+\"g\")(Math.pow(10,n))):(r=Math.floor(Math.log(Math.abs(n))/Math.LN10)-Math.floor(Math.log(i)/Math.LN10)+4,a(\".\"+String(r)+\"g\")(n))}(s,u),d=\"left\",g=\"middle\";if(s.fixedrange)return;v?(g=\"n\"===v?\"top\":\"bottom\",\"right\"===s.side&&(d=\"right\")):\"e\"===y&&(d=\"right\"),i._context.showAxisRangeEntryBoxes&&n.select(bt).call(c.makeEditable,{gd:i,immediate:!0,background:i._fullLayout.paper_bgcolor,text:String(h),fill:s.tickfont?s.tickfont.color:\"#444\",horizontalAlign:d,verticalAlign:g}).on(\"edit\",(function(t){var e=s.d2r(t);void 0!==e&&l.call(\"_guiRelayout\",i,f,e)}))}}}function zt(e,r){if(t._transitioningWithDuration)return!1;var n=Math.max(0,Math.min(tt,pt*e+_t)),i=Math.max(0,Math.min(et,dt*r+wt)),a=Math.abs(n-_t),o=Math.abs(i-wt);function s(){St=\"\",Tt.r=Tt.l,Tt.t=Tt.b,Lt.attr(\"d\",\"M0,0Z\")}if(Tt.l=Math.min(_t,n),Tt.r=Math.max(_t,n),Tt.t=Math.min(wt,i),Tt.b=Math.max(wt,i),rt.isSubplotConstrained)a>P||o>P?(St=\"xy\",a/tt>o/et?(o=a*et/tt,wt>i?Tt.t=wt-o:Tt.b=wt+o):(a=o*tt/et,_t>n?Tt.l=_t-a:Tt.r=_t+a),Lt.attr(\"d\",G(Tt))):s();else if(nt.isSubplotConstrained)if(a>P||o>P){St=\"xy\";var l=Math.min(Tt.l/tt,(et-Tt.b)/et),u=Math.max(Tt.r/tt,(et-Tt.t)/et);Tt.l=l*tt,Tt.r=u*tt,Tt.b=(1-l)*et,Tt.t=(1-u)*et,Lt.attr(\"d\",G(Tt))}else s();else!at||o<Math.min(Math.max(.6*a,C),P)?a<C||!it?s():(Tt.t=0,Tt.b=et,St=\"x\",Lt.attr(\"d\",function(t,e){return\"M\"+(t.l-.5)+\",\"+(e-P-.5)+\"h-3v\"+(2*P+1)+\"h3ZM\"+(t.r+.5)+\",\"+(e-P-.5)+\"h3v\"+(2*P+1)+\"h-3Z\"}(Tt,wt))):!it||a<Math.min(.6*o,P)?(Tt.l=0,Tt.r=tt,St=\"y\",Lt.attr(\"d\",function(t,e){return\"M\"+(e-P-.5)+\",\"+(t.t-.5)+\"v-3h\"+(2*P+1)+\"v3ZM\"+(e-P-.5)+\",\"+(t.b+.5)+\"v3h\"+(2*P+1)+\"v-3Z\"}(Tt,_t))):(St=\"xy\",Lt.attr(\"d\",G(Tt)));Tt.w=Tt.r-Tt.l,Tt.h=Tt.b-Tt.t,St&&(Ct=!0),t._dragged=Ct,U(Et,Lt,Tt,At,Mt,kt),Dt(),t.emit(\"plotly_relayouting\",ht),Mt=!0}function Dt(){ht={},\"xy\"!==St&&\"x\"!==St||(R(K,Tt.l/tt,Tt.r/tt,ht,rt.xaxes),Vt(\"x\",ht)),\"xy\"!==St&&\"y\"!==St||(R(J,(et-Tt.b)/et,(et-Tt.t)/et,ht,rt.yaxes),Vt(\"y\",ht))}function Rt(){Dt(),q(t),Gt(),H(t)}Pt.prepFn=function(e,r,n){var a=Pt.dragmode,s=t._fullLayout.dragmode;s!==a&&(Pt.dragmode=s),mt(),pt=t._fullLayout._invScaleX,dt=t._fullLayout._invScaleY,ot||(gt?e.shiftKey?\"pan\"===s?s=\"zoom\":m(s)||(s=\"pan\"):e.ctrlKey&&(s=\"pan\"):s=\"pan\"),x(s)?Pt.minDrag=1:Pt.minDrag=void 0,m(s)?(Pt.xaxes=K,Pt.yaxes=J,A(e,r,n,Pt,s)):(Pt.clickFn=It,m(a)&&Ot(),ot||(\"zoom\"===s?(Pt.moveFn=zt,Pt.doneFn=Rt,Pt.minDrag=1,function(e,r,n){var a=bt.getBoundingClientRect();_t=r-a.left,wt=n-a.top,t._fullLayout._calcInverseTransform(t);var s=i.apply3DTransform(t._fullLayout._invTransform)(_t,wt);_t=s[0],wt=s[1],Tt={l:_t,r:_t,w:0,t:wt,b:wt,h:0},kt=t._hmpixcount?t._hmlumcount/t._hmpixcount:o(t._fullLayout.plot_bgcolor).getLuminance(),Mt=!1,St=\"xy\",Ct=!1,Et=N(vt,kt,$,Q,At=\"M0,0H\"+tt+\"V\"+et+\"H0V0\"),Lt=j(vt,$,Q)}(0,r,n)):\"pan\"===s&&(Pt.moveFn=Ut,Pt.doneFn=Gt))),t._fullLayout._redrag=function(){var e=t._dragdata;if(e&&e.element===bt){var r=t._fullLayout.dragmode;m(r)||(mt(),Wt([0,0,tt,et]),Pt.moveFn(e.dx,e.dy))}}},g.init(Pt);var Ft=[0,0,tt,et],Bt=null,Nt=L.REDRAWDELAY,jt=e.mainplot?t._fullLayout._plots[e.mainplot]:e;function Ut(e,r){if(e*=pt,r*=dt,!t._transitioningWithDuration){if(t._fullLayout._replotting=!0,\"ew\"===it||\"ns\"===at){var n=it?-e:0,i=at?-r:0;if(nt.isSubplotConstrained){if(it&&at){var a=(e/tt-r/et)/2;n=-(e=a*tt),i=-(r=-a*et)}at?n=-i*tt/et:i=-n*et/tt}return it&&(F(K,e),Vt(\"x\")),at&&(F(J,r),Vt(\"y\")),Wt([n,i,tt,et]),qt(),void t.emit(\"plotly_relayouting\",ht)}var o,s,l=\"w\"===it==(\"n\"===at)?1:-1;if(it&&at&&(rt.isSubplotConstrained||nt.isSubplotConstrained)){var u=(e/tt+l*r/et)/2;e=u*tt,r=l*u*et}if(\"w\"===it?e=p(K,0,e):\"e\"===it?e=p(K,1,-e):it||(e=0),\"n\"===at?r=p(J,1,r):\"s\"===at?r=p(J,0,-r):at||(r=0),o=\"w\"===it?e:0,s=\"n\"===at?r:0,rt.isSubplotConstrained&&!nt.isSubplotConstrained||nt.isSubplotConstrained&&it&&at&&l>0){var c;if(nt.isSubplotConstrained||!it&&1===at.length){for(c=0;c<K.length;c++)K[c].range=K[c]._r.slice(),E(K[c],1-r/et);o=(e=r*tt/et)/2}if(nt.isSubplotConstrained||!at&&1===it.length){for(c=0;c<J.length;c++)J[c].range=J[c]._r.slice(),E(J[c],1-e/tt);s=(r=e*et/tt)/2}}nt.isSubplotConstrained&&at||Vt(\"x\"),nt.isSubplotConstrained&&it||Vt(\"y\");var f=tt-e,h=et-r;!nt.isSubplotConstrained||it&&at||(it?(s=o?0:e*et/tt,h=f*et/tt):(o=s?0:r*tt/et,f=h*tt/et)),Wt([o,s,f,h]),qt(),t.emit(\"plotly_relayouting\",ht)}function p(t,e,r){for(var n,i,a=1-e,o=0;o<t.length;o++){var s=t[o];if(!s.fixedrange){n=s,i=s._rl[a]+(s._rl[e]-s._rl[a])/B(r/s._length);var l=s.l2r(i);!1!==l&&void 0!==l&&(s.range[e]=l)}}return n._length*(n._rl[e]-i)/(n._rl[e]-n._rl[a])}}function Vt(t,e){for(var r=nt.isSubplotConstrained?{x:J,y:K}[t]:nt[t+\"axes\"],n=nt.isSubplotConstrained?{x:K,y:J}[t]:[],i=0;i<r.length;i++){var a=r[i],o=a._id,s=nt.xLinks[o]||nt.yLinks[o],l=n[0]||V[s]||Z[s];l&&(e?(e[a._name+\".range[0]\"]=e[l._name+\".range[0]\"],e[a._name+\".range[1]\"]=e[l._name+\".range[1]\"]):a.range=l.range.slice())}}function qt(){var r,n=[];function i(t){for(r=0;r<t.length;r++)t[r].fixedrange||n.push(t[r]._id)}function a(t,e){for(r=0;r<t.length;r++){var i=t[r],a=i[e];i.fixedrange||\"sync\"!==a.tickmode||n.push(a._id)}}for(st&&(i(K),i(rt.xaxes),i(nt.xaxes),a(e.overlays,\"xaxis\")),lt&&(i(J),i(rt.yaxes),i(nt.yaxes),a(e.overlays,\"yaxis\")),ht={},r=0;r<n.length;r++){var o=n[r],s=k(t,o);d.drawOne(t,s,{skipTitle:!0}),ht[s._name+\".range[0]\"]=s.range[0],ht[s._name+\".range[1]\"]=s.range[1]}d.redrawComponents(t,n)}function Ht(){if(!t._transitioningWithDuration){var e=t._context.doubleClick,r=[];it&&(r=r.concat(K)),at&&(r=r.concat(J)),nt.xaxes&&(r=r.concat(nt.xaxes)),nt.yaxes&&(r=r.concat(nt.yaxes));var n,i,a={};if(\"reset+autosize\"===e)for(e=\"autosize\",i=0;i<r.length;i++){var o=(n=r[i])._rangeInitial0,s=n._rangeInitial1,u=void 0!==o||void 0!==s;if(u&&(void 0!==o&&o!==n.range[0]||void 0!==s&&s!==n.range[1])||!u&&!0!==n.autorange){e=\"reset\";break}}if(\"autosize\"===e)for(i=0;i<r.length;i++)(n=r[i]).fixedrange||(a[n._name+\".autorange\"]=!0);else if(\"reset\"===e)for((it||rt.isSubplotConstrained)&&(r=r.concat(rt.xaxes)),at&&!rt.isSubplotConstrained&&(r=r.concat(rt.yaxes)),rt.isSubplotConstrained&&(it?at||(r=r.concat(J)):r=r.concat(K)),i=0;i<r.length;i++)if(!(n=r[i]).fixedrange){var c=n._name,f=n._autorangeInitial;void 0===n._rangeInitial0&&void 0===n._rangeInitial1?a[c+\".autorange\"]=!0:void 0===n._rangeInitial0?(a[c+\".autorange\"]=f,a[c+\".range\"]=[null,n._rangeInitial1]):void 0===n._rangeInitial1?(a[c+\".range\"]=[n._rangeInitial0,null],a[c+\".autorange\"]=f):a[c+\".range\"]=[n._rangeInitial0,n._rangeInitial1]}t.emit(\"plotly_doubleclick\",null),l.call(\"_guiRelayout\",t,a)}}function Gt(){Wt([0,0,tt,et]),i.syncOrAsync([T.previousPromises,function(){t._fullLayout._replotting=!1,l.call(\"_guiRelayout\",t,ht)}],t)}function Wt(e){var r,n,a,o,s=t._fullLayout,u=s._plots,c=s._subplots.cartesian;if(ct&&l.subplotsRegistry.splom.drag(t),ut)for(r=0;r<c.length;r++)if(a=(n=u[c[r]]).xaxis,o=n.yaxis,n._scene){var f=i.simpleMap(a.range,a.r2l),p=i.simpleMap(o.range,o.r2l);a.limitRange&&a.limitRange(),o.limitRange&&o.limitRange(),f=a.range,p=o.range,n._scene.update({range:[f[0],p[0],f[1],p[1]]})}if((ct||ut)&&(_(t),w(t)),ft){var d=e[2]/O._length,g=e[3]/I._length;for(r=0;r<c.length;r++){a=(n=u[c[r]]).xaxis,o=n.yaxis;var m,x,b,T,k=(st||nt.isSubplotConstrained)&&!a.fixedrange&&V[a._id],A=(lt||nt.isSubplotConstrained)&&!o.fixedrange&&Z[o._id];if(k?(m=d,b=y||nt.isSubplotConstrained?e[0]:Zt(a,m)):nt.xaHash[a._id]?(m=d,b=e[0]*a._length/O._length):nt.yaHash[a._id]?(m=g,b=\"ns\"===at?-e[1]*a._length/I._length:Zt(a,m,{n:\"top\",s:\"bottom\"}[at])):b=Xt(a,m=Yt(a,d,g)),m>1&&(void 0!==a.maxallowed&&st===(a.range[0]<a.range[1]?\"e\":\"w\")||void 0!==a.minallowed&&st===(a.range[0]<a.range[1]?\"w\":\"e\"))&&(m=1,b=0),A?(x=g,T=v||nt.isSubplotConstrained?e[1]:Zt(o,x)):nt.yaHash[o._id]?(x=g,T=e[1]*o._length/I._length):nt.xaHash[o._id]?(x=d,T=\"ew\"===it?-e[0]*o._length/O._length:Zt(o,x,{e:\"right\",w:\"left\"}[it])):T=Xt(o,x=Yt(o,d,g)),x>1&&(void 0!==o.maxallowed&&lt===(o.range[0]<o.range[1]?\"n\":\"s\")||void 0!==o.minallowed&&lt===(o.range[0]<o.range[1]?\"s\":\"n\"))&&(x=1,T=0),m||x){m||(m=1),x||(x=1);var M=a._offset-b/m,S=o._offset-T/x;n.clipRect.call(h.setTranslate,b,T).call(h.setScale,m,x),n.plot.call(h.setTranslate,M,S).call(h.setScale,1/m,1/x),m===n.xScaleFactor&&x===n.yScaleFactor||(h.setPointGroupScale(n.zoomScalePts,m,x),h.setTextPointsScale(n.zoomScaleTxt,m,x)),h.hideOutsideRangePoints(n.clipOnAxisFalseTraces,n),n.xScaleFactor=m,n.yScaleFactor=x}}}}function Yt(t,e,r){return t.fixedrange?0:st&&rt.xaHash[t._id]?e:lt&&(rt.isSubplotConstrained?rt.xaHash:rt.yaHash)[t._id]?r:0}function Xt(t,e){return e?(t.range=t._r.slice(),E(t,e),Zt(t,e)):0}function Zt(t,e,r){return t._length*(1-e)*b[r||t.constraintoward||\"middle\"]}return v.length*y.length!=1&&Y(bt,(function(e){if(t._context._scrollZoom.cartesian||t._fullLayout._enablescrollzoom){if(Ot(),t._transitioningWithDuration)return e.preventDefault(),void e.stopPropagation();mt(),clearTimeout(Bt);var r=-e.deltaY;if(isFinite(r)||(r=e.wheelDelta/10),isFinite(r)){var 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r,i={r:e.rotate(),k:e.scale()},a=c(0,e),h=function(t){for(var e=0,r=arguments.length,i=[];++e<r;)i.push(arguments[e]);var a=n.dispatch.apply(null,i);return a.of=function(e,r){return function(i){var o;try{o=i.sourceEvent=n.event,i.target=t,n.event=i,a[i.type].apply(e,r)}finally{n.event=o}}},a}(a,\"zoomstart\",\"zoom\",\"zoomend\"),p=0,d=a.on;function y(t){var r=e.rotate();t(\"projection.rotation.lon\",-r[0]),t(\"projection.rotation.lat\",-r[1])}return a.on(\"zoomstart\",(function(){n.select(this).style(l);var t,u,c,f,y,b,_,w,T,k,A,M=n.mouse(this),S=e.rotate(),E=S,L=e.translate(),C=(u=.5*(t=S)[0]*o,c=.5*t[1]*o,f=.5*t[2]*o,y=Math.sin(u),b=Math.cos(u),_=Math.sin(c),w=Math.cos(c),T=Math.sin(f),[b*w*(k=Math.cos(f))+y*_*T,y*w*k-b*_*T,b*_*k+y*w*T,b*w*T-y*_*k]);r=v(e,M),d.call(a,\"zoom\",(function(){var t,a,o,l,u,c,f,p,d,y,b=n.mouse(this);if(e.scale(i.k=n.event.scale),r){if(v(e,b)){e.rotate(S).translate(L);var _=v(e,b),w=function(t,e){if(t&&e){var r=function(t,e){return[t[1]*e[2]-t[2]*e[1],t[2]*e[0]-t[0]*e[2],t[0]*e[1]-t[1]*e[0]]}(t,e),n=Math.sqrt(x(r,r)),i=.5*Math.acos(Math.max(-1,Math.min(1,x(t,e)))),a=Math.sin(i)/n;return n&&[Math.cos(i),r[2]*a,-r[1]*a,r[0]*a]}}(r,_),T=function(t){return[Math.atan2(2*(t[0]*t[1]+t[2]*t[3]),1-2*(t[1]*t[1]+t[2]*t[2]))*s,Math.asin(Math.max(-1,Math.min(1,2*(t[0]*t[2]-t[3]*t[1]))))*s,Math.atan2(2*(t[0]*t[3]+t[1]*t[2]),1-2*(t[2]*t[2]+t[3]*t[3]))*s]}((o=(t=C)[0],l=t[1],u=t[2],c=t[3],[o*(f=(a=w)[0])-l*(p=a[1])-u*(d=a[2])-c*(y=a[3]),o*p+l*f+u*y-c*d,o*d-l*y+u*f+c*p,o*y+l*d-u*p+c*f])),k=i.r=function(t,e,r){var n=m(e,2,t[0]);n=m(n,1,t[1]),n=m(n,0,t[2]-r[2]);var i,a,o=e[0],l=e[1],u=e[2],c=n[0],f=n[1],h=n[2],p=Math.atan2(l,o)*s,d=Math.sqrt(o*o+l*l);Math.abs(f)>d?(a=(f>0?90:-90)-p,i=0):(a=Math.asin(f/d)*s-p,i=Math.sqrt(d*d-f*f));var v=180-a-2*p,y=(Math.atan2(h,c)-Math.atan2(u,i))*s,x=(Math.atan2(h,c)-Math.atan2(u,-i))*s;return g(r[0],r[1],a,y)<=g(r[0],r[1],v,x)?[a,y,r[2]]:[v,x,r[2]]}(T,r,E);isFinite(k[0])&&isFinite(k[1])&&isFinite(k[2])||(k=E),e.rotate(k),E=k}}else r=v(e,M=b);h.of(this,arguments)({type:\"zoom\"})})),A=h.of(this,arguments),p++||A({type:\"zoomstart\"})})).on(\"zoomend\",(function(){var r;n.select(this).style(u),d.call(a,\"zoom\",null),r=h.of(this,arguments),--p||r({type:\"zoomend\"}),f(t,e,y)})).on(\"zoom.redraw\",(function(){t.render(!0);var r=e.rotate();t.graphDiv.emit(\"plotly_relayouting\",{\"geo.projection.scale\":e.scale()/t.fitScale,\"geo.projection.rotation.lon\":-r[0],\"geo.projection.rotation.lat\":-r[1]})})),n.rebind(a,h,\"on\")}function v(t,e){var r=t.invert(e);return r&&isFinite(r[0])&&isFinite(r[1])&&function(t){var e=t[0]*o,r=t[1]*o,n=Math.cos(r);return[n*Math.cos(e),n*Math.sin(e),Math.sin(r)]}(r)}function g(t,e,r,n){var i=y(r-t),a=y(n-e);return Math.sqrt(i*i+a*a)}function y(t){return(t%360+540)%360-180}function m(t,e,r){var n=r*o,i=t.slice(),a=0===e?1:0,s=2===e?1:2,l=Math.cos(n),u=Math.sin(n);return i[a]=t[a]*l-t[s]*u,i[s]=t[s]*l+t[a]*u,i}function x(t,e){for(var r=0,n=0,i=t.length;n<i;++n)r+=t[n]*e[n];return r}t.exports=function(t,e){var r=t.projection;return(e._isScoped?h:e._isClipped?d:p)(t,r)}},84888:function(t,e,r){\"use strict\";var n=r(24040),i=r(33816).SUBPLOT_PATTERN;e.KY=function(t,e,r){var i=n.subplotsRegistry[e];if(!i)return[];for(var a=i.attr,o=[],s=0;s<t.length;s++){var l=t[s];l[0].trace[a]===r&&o.push(l)}return o},e._M=function(t,e,r){var i,a=[],o=[];if(!(i=\"string\"==typeof e?n.getModule(e).plot:\"function\"==typeof e?e:e.plot))return[a,t];for(var s=r,l=0;l<t.length;l++){var u=t[l],c=u[0].trace,f=void 0!==c.zorder;!0===c.visible&&0!==c._length&&(!c._module||c._module.plot!==i||f&&c.zorder!==s?o.push(u):a.push(u))}return[a,o]},e.op=function(t,e,r){if(!n.subplotsRegistry[e])return[];var a,o,s,l=n.subplotsRegistry[e].attr,u=[];if(\"gl2d\"===e){var c=r.match(i);o=\"x\"+c[1],s=\"y\"+c[2]}for(var f=0;f<t.length;f++)a=t[f],\"gl2d\"===e&&n.traceIs(a,\"gl2d\")?a[l[0]]===o&&a[l[1]]===s&&u.push(a):a[l]===r&&u.push(a);return u}},2428:function(t,e,r){\"use strict\";var n=r(62644),i=r(97264),a=r(29128),o=r(33816),s=r(89184);function l(t,e){this.element=t,this.plot=e,this.mouseListener=null,this.wheelListener=null,this.lastInputTime=Date.now(),this.lastPos=[0,0],this.boxEnabled=!1,this.boxInited=!1,this.boxStart=[0,0],this.boxEnd=[0,0],this.dragStart=[0,0]}t.exports=function(t){var e=t.mouseContainer,r=t.glplot,u=new l(e,r);function c(){t.xaxis.autorange=!1,t.yaxis.autorange=!1}function f(e,n,i){var a,s,l=t.calcDataBox(),f=r.viewBox,h=u.lastPos[0],p=u.lastPos[1],d=o.MINDRAG*r.pixelRatio,v=o.MINZOOM*r.pixelRatio;function g(e,r,n){var i=Math.min(r,n),a=Math.max(r,n);i!==a?(l[e]=i,l[e+2]=a,u.dataBox=l,t.setRanges(l)):(t.selectBox.selectBox=[0,0,1,1],t.glplot.setDirty())}switch(n*=r.pixelRatio,i*=r.pixelRatio,i=f[3]-f[1]-i,t.fullLayout.dragmode){case\"zoom\":if(e){var y=n/(f[2]-f[0])*(l[2]-l[0])+l[0],m=i/(f[3]-f[1])*(l[3]-l[1])+l[1];u.boxInited||(u.boxStart[0]=y,u.boxStart[1]=m,u.dragStart[0]=n,u.dragStart[1]=i),u.boxEnd[0]=y,u.boxEnd[1]=m,u.boxInited=!0,u.boxEnabled||u.boxStart[0]===u.boxEnd[0]&&u.boxStart[1]===u.boxEnd[1]||(u.boxEnabled=!0);var x=Math.abs(u.dragStart[0]-n)<v,b=Math.abs(u.dragStart[1]-i)<v;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,i=0;i<e.length;i++)if(-1!==e[i][r]){if(-1!==e[i][n])return!0;break}return!1}()||x&&b)x&&(u.boxEnd[0]=u.boxStart[0]),b&&(u.boxEnd[1]=u.boxStart[1]);else{a=u.boxEnd[0]-u.boxStart[0],s=u.boxEnd[1]-u.boxStart[1];var _=(l[3]-l[1])/(l[2]-l[0]);Math.abs(a*_)>Math.abs(s)?(u.boxEnd[1]=u.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),u.boxEnd[1]<l[1]?(u.boxEnd[1]=l[1],u.boxEnd[0]=u.boxStart[0]+(l[1]-u.boxStart[1])/Math.abs(_)):u.boxEnd[1]>l[3]&&(u.boxEnd[1]=l[3],u.boxEnd[0]=u.boxStart[0]+(l[3]-u.boxStart[1])/Math.abs(_))):(u.boxEnd[0]=u.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),u.boxEnd[0]<l[0]?(u.boxEnd[0]=l[0],u.boxEnd[1]=u.boxStart[1]+(l[0]-u.boxStart[0])*Math.abs(_)):u.boxEnd[0]>l[2]&&(u.boxEnd[0]=l[2],u.boxEnd[1]=u.boxStart[1]+(l[2]-u.boxStart[0])*Math.abs(_)))}}else u.boxEnabled?(a=u.boxStart[0]!==u.boxEnd[0],s=u.boxStart[1]!==u.boxEnd[1],a||s?(a&&(g(0,u.boxStart[0],u.boxEnd[0]),t.xaxis.autorange=!1),s&&(g(1,u.boxStart[1],u.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),u.boxEnabled=!1,u.boxInited=!1):u.boxInited&&(u.boxInited=!1);break;case\"pan\":u.boxEnabled=!1,u.boxInited=!1,e?(u.panning||(u.dragStart[0]=n,u.dragStart[1]=i),Math.abs(u.dragStart[0]-n)<d&&(n=u.dragStart[0]),Math.abs(u.dragStart[1]-i)<d&&(i=u.dragStart[1]),a=(h-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-i)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=a,l[2]+=a,l[1]+=s,l[3]+=s,t.setRanges(l),u.panning=!0,u.lastInputTime=Date.now(),c(),t.cameraChanged(),t.handleAnnotations()):u.panning&&(u.panning=!1,t.relayoutCallback())}u.lastPos[0]=n,u.lastPos[1]=i}return u.mouseListener=n(e,f),e.addEventListener(\"touchstart\",(function(t){var r=a(t.changedTouches[0],e);f(0,r[0],r[1]),f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchmove\",(function(t){t.preventDefault();var r=a(t.changedTouches[0],e);f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchend\",(function(t){f(0,u.lastPos[0],u.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),u.wheelListener=i(e,(function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=u.lastPos[0],s=u.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),f=o/(a[2]-a[0])*(i[2]-i[0])+i[0],h=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-f)*l+f,i[2]=(i[2]-f)*l+f,i[1]=(i[1]-h)*l+h,i[3]=(i[3]-h)*l+h,t.setRanges(i),u.lastInputTime=Date.now(),c(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),u}},92568:function(t,e,r){\"use strict\";var n=r(54460),i=r(43080);function a(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=[\"x\",\"y\"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=[\"sans-serif\",\"sans-serif\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title=\"\",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont=\"sans-serif\",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=a.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,r,n,a,o,l,u,c,f,h,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),h=0;h<2;++h){var d=(e=s[h]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?\"\":r.title.text,p=0;p<=2;p+=2)this.labelEnable[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;u=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!u,l=this.hasAxisInAltrPos(e,r)&&!u,a=r.mirror||!1,c=u?-1!==String(a).indexOf(\"all\"):!!a,f=u?\"allticks\"===a:-1!==String(a).indexOf(\"ticks\"),o?this.labelEnable[h]=!0:l&&(this.labelEnable[h+2]=!0),o?this.tickEnable[h]=r.showticklabels:l&&(this.tickEnable[h+2]=r.showticklabels),(o||c)&&(this.borderLineEnable[h]=r.showline),(l||c)&&(this.borderLineEnable[h+2]=r.showline),(o||f)&&(this.tickMarkLength[h]=this.getTickMarkLength(r)),(l||f)&&(this.tickMarkLength[h+2]=this.getTickMarkLength(r)),this.gridLineEnable[h]=r.showgrid,this.gridLineColor[h]=i(r.gridcolor),this.gridLineWidth[h]=r.gridwidth,this.zeroLineEnable[h]=r.zeroline,this.zeroLineColor[h]=i(r.zerolinecolor),this.zeroLineWidth[h]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},o.getLabelPad=function(t,e){var r=1.5,n=e.title.font.size,i=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?n*(r+(i?1:0))-10:n*(r+(i?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+n*(r+(i?1:.5)):10+n*(r+(i?.5:0)):void 0},o.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},t.exports=function(t){return new a(t)}},39952:function(t,e,r){\"use strict\";var n=r(67824).overrideAll,i=r(17188),a=r(64859),o=r(9616),s=r(33816),l=r(57952),u=r(65460),c=r(84888).op;e.name=\"gl2d\",e.attr=[\"xaxis\",\"yaxis\"],e.idRoot=[\"x\",\"y\"],e.idRegex=s.idRegex,e.attrRegex=s.attrRegex,e.attributes=r(26720),e.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},e.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),e.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:u.hoverlabel},\"plot\",\"nested\"),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=c(r,\"gl2d\",o),u=s._scene2d;void 0===u&&(u=new i({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=u),u.plot(l,t.calcdata,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];s._scene2d&&0===c(t,\"gl2d\",o).length&&(s._scene2d.destroy(),delete n._plots[o])}l.clean.apply(this,arguments)},e.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":a,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),i.destroy()}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++)e._plots[r[n]]._scene2d.updateFx(e.dragmode)}},17188:function(t,e,r){\"use strict\";var n,i,a=r(24040),o=r(54460),s=r(93024),l=r(67792).gl_plot2d,u=r(67792).gl_spikes2d,c=r(67792).gl_select_box,f=r(5408),h=r(92568),p=r(2428),d=r(16576),v=r(71888),g=v.enforce,y=v.clean,m=r(19280).doAutoRange,x=r(72760),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=r(33816).SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=u(this.glplot),this.selectBox=c(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}t.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement(\"canvas\"),i=f({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=f({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r);var a=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\"mouseover\",(function(){l.isMouseOver=!0}))},A.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var u=0;u<4;++u){var c=a[4*(r*o+l)+u];a[4*(r*o+l)+u]=a[4*(r*s+l)+u],a[4*(r*s+l)+u]=c}var f=document.createElement(\"canvas\");f.width=r,f.height=i;var h,p=f.getContext(\"2d\",{willReadFrequently:!0}),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case\"jpeg\":h=f.toDataURL(\"image/jpeg\");break;case\"webp\":h=f.toDataURL(\"image/webp\");break;default:h=f.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),h},A.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+\".range\"]=e.range.slice(),s=i[r._name+\".range\"]=r.range.slice();i[e._name+\".autorange\"]=e.autorange,i[r._name+\".autorange\"]=r.autorange,a.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var u=n[r._name];u.range=s,u.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};y(s,this.xaxis),y(s,this.yaxis);var l,u,c=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[c.l+f[0]*c.w,c.b+h[0]*c.h,i-c.r-(1-f[1])*c.w,a-c.t-(1-h[1])*c.h],this.mouseContainer.style.width=c.w*(f[1]-f[0])+\"px\",this.mouseContainer.style.height=c.h*(h[1]-h[0])+\"px\",this.mouseContainer.height=c.h*(h[1]-h[0]),this.mouseContainer.style.left=c.l+f[0]*c.w+\"px\",this.mouseContainer.style.top=c.t+(1-h[1])*c.h+\"px\",u=0;u<2;++u)(l=this[w[u]])._length=o.viewBox[u+2]-o.viewBox[u],m(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],u=this.traces[i.uid];u?u.update(i,l):(u=i._module.plot(this,i,l),this.traces[i.uid]=u)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},A.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},A.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var u=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],c=0;c<2;c++)e.boxStart[c]===e.boxEnd[c]&&(u[c]=t.dataBox[c],u[c+2]=t.dataBox[c+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var v=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),v.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var g=this.fullData[v.trace.index]||{},y=v.pointIndex,m=s.castHoverinfo(g,i,y);if(m&&\"all\"!==m){var x=m.split(\"+\");-1===x.indexOf(\"x\")&&(v.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(v.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(v.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(v.textLabel=void 0),-1===x.indexOf(\"name\")&&(v.name=void 0)}s.loneHover({x:v.screenCoord[0],y:v.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",v.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",v.traceCoord[1]),zLabel:v.traceCoord[2],text:v.textLabel,name:v.name,color:s.castHoverOption(g,y,\"bgcolor\")||v.color,borderColor:s.castHoverOption(g,y,\"bordercolor\"),fontFamily:s.castHoverOption(g,y,\"font.family\"),fontSize:s.castHoverOption(g,y,\"font.size\"),fontColor:s.castHoverOption(g,y,\"font.color\"),nameLength:s.castHoverOption(g,y,\"namelength\"),textAlign:s.castHoverOption(g,y,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},12536:function(t,e,r){\"use strict\";var n=r(67824).overrideAll,i=r(65460),a=r(98432),o=r(84888).op,s=r(3400),l=r(9616),u=\"gl3d\",c=\"scene\";e.name=u,e.attr=c,e.idRoot=c,e.idRegex=e.attrRegex=s.counterRegex(\"scene\"),e.attributes=r(6636),e.layoutAttributes=r(346),e.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),e.supplyLayoutDefaults=r(5208),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots[u],i=0;i<n.length;i++){var s=n[i],l=o(r,u,s),c=e[s],f=c.camera,h=c._scene;h||(h=new a({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:f},e),c._scene=h),h.viewInitial||(h.viewInitial={up:{x:f.up.x,y:f.up.y,z:f.up.z},eye:{x:f.eye.x,y:f.eye.y,z:f.eye.z},center:{x:f.center.x,y:f.center.y,z:f.center.z}}),h.plot(l,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots[u]||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots[u],n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,c=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},e.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),c+e}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots[u],n=0;n<r.length;n++)e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}},6636:function(t){\"use strict\";t.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},86140:function(t,e,r){\"use strict\";var n=r(76308),i=r(94724),a=r(92880).extendFlat,o=r(67824).overrideAll;t.exports=o({visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,autorangeoptions:{minallowed:i.autorangeoptions.minallowed,maxallowed:i.autorangeoptions.maxallowed,clipmin:i.autorangeoptions.clipmin,clipmax:i.autorangeoptions.clipmax,include:i.autorangeoptions.include,editType:\"plot\"},rangemode:i.rangemode,minallowed:i.minallowed,maxallowed:i.maxallowed,range:a({},i.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:i.minor.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,labelalias:i.labelalias,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},\"plot\",\"from-root\")},64380:function(t,e,r){\"use strict\";var n=r(49760).mix,i=r(3400),a=r(31780),o=r(86140),s=r(14944),l=r(28336),u=[\"xaxis\",\"yaxis\",\"zaxis\"];t.exports=function(t,e,r){var c,f;function h(t,e){return i.coerce(c,f,o,t,e)}for(var p=0;p<u.length;p++){var d=u[p];c=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(c,f,h,r),l(c,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noAutotickangles:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,noInsiderange:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h(\"gridcolor\",n(f.color,r.bgColor,72.72727272727273).toRgbString()),h(\"title.text\",d[0]),f.setScale=i.noop,h(\"showspikes\")&&(h(\"spikesides\"),h(\"spikethickness\"),h(\"spikecolor\",f.color)),h(\"showaxeslabels\"),h(\"showbackground\")&&h(\"backgroundcolor\")}}},44728:function(t,e,r){\"use strict\";var n=r(43080),i=r(3400),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickFontWeight=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickFontStyle=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickFontVariant=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelFontWeight=[\"normal\",\"normal\",\"normal\",\"normal\"],this.labelFontStyle=[\"normal\",\"normal\",\"normal\",\"normal\"],this.labelFontVariant=[\"normal\",\"normal\",\"normal\",\"normal\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=this,o=0;o<3;++o){var s=e[a[o]];s.visible?(r.labels[o]=t._meta?i.templateString(s.title.text,t._meta):s.title.text,\"font\"in s.title&&(s.title.font.color&&(r.labelColor[o]=n(s.title.font.color)),s.title.font.family&&(r.labelFont[o]=s.title.font.family),s.title.font.size&&(r.labelSize[o]=s.title.font.size),s.title.font.weight&&(r.labelFontWeight[o]=s.title.font.weight),s.title.font.style&&(r.labelFontStyle[o]=s.title.font.style),s.title.font.variant&&(r.labelFontVariant[o]=s.title.font.variant)),\"showline\"in s&&(r.lineEnable[o]=s.showline),\"linecolor\"in s&&(r.lineColor[o]=n(s.linecolor)),\"linewidth\"in s&&(r.lineWidth[o]=s.linewidth),\"showgrid\"in s&&(r.gridEnable[o]=s.showgrid),\"gridcolor\"in s&&(r.gridColor[o]=n(s.gridcolor)),\"gridwidth\"in s&&(r.gridWidth[o]=s.gridwidth),\"log\"===s.type?r.zeroEnable[o]=!1:\"zeroline\"in s&&(r.zeroEnable[o]=s.zeroline),\"zerolinecolor\"in s&&(r.zeroLineColor[o]=n(s.zerolinecolor)),\"zerolinewidth\"in s&&(r.zeroLineWidth[o]=s.zerolinewidth),\"ticks\"in s&&s.ticks?r.lineTickEnable[o]=!0:r.lineTickEnable[o]=!1,\"ticklen\"in s&&(r.lineTickLength[o]=r._defaultLineTickLength[o]=s.ticklen),\"tickcolor\"in s&&(r.lineTickColor[o]=n(s.tickcolor)),\"tickwidth\"in s&&(r.lineTickWidth[o]=s.tickwidth),\"tickangle\"in s&&(r.tickAngle[o]=\"auto\"===s.tickangle?-3600:Math.PI*-s.tickangle/180),\"showticklabels\"in s&&(r.tickEnable[o]=s.showticklabels),\"tickfont\"in s&&(s.tickfont.color&&(r.tickColor[o]=n(s.tickfont.color)),s.tickfont.family&&(r.tickFont[o]=s.tickfont.family),s.tickfont.size&&(r.tickSize[o]=s.tickfont.size),s.tickfont.weight&&(r.tickFontWeight[o]=s.tickfont.weight),s.tickfont.style&&(r.tickFontStyle[o]=s.tickfont.style),s.tickfont.variant&&(r.tickFontVariant[o]=s.tickfont.variant)),\"mirror\"in s?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(s.mirror)?(r.lineTickMirror[o]=!0,r.lineMirror[o]=!0):!0===s.mirror?(r.lineTickMirror[o]=!1,r.lineMirror[o]=!0):(r.lineTickMirror[o]=!1,r.lineMirror[o]=!1):r.lineMirror[o]=!1,\"showbackground\"in s&&!1!==s.showbackground?(r.backgroundEnable[o]=!0,r.backgroundColor[o]=n(s.backgroundcolor)):r.backgroundEnable[o]=!1):(r.tickEnable[o]=!1,r.labelEnable[o]=!1,r.lineEnable[o]=!1,r.lineTickEnable[o]=!1,r.gridEnable[o]=!1,r.zeroEnable[o]=!1,r.backgroundEnable[o]=!1)}},t.exports=function(t,e){var r=new o;return r.merge(t,e),r}},5208:function(t,e,r){\"use strict\";var n=r(3400),i=r(76308),a=r(24040),o=r(168),s=r(64380),l=r(346),u=r(84888).op,c=\"gl3d\";function f(t,e,r,n){for(var o=r(\"bgcolor\"),l=i.combine(o,n.paper_bgcolor),f=[\"up\",\"center\",\"eye\"],h=0;h<f.length;h++)r(\"camera.\"+f[h]+\".x\"),r(\"camera.\"+f[h]+\".y\"),r(\"camera.\"+f[h]+\".z\");r(\"camera.projection.type\");var p=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),d=r(\"aspectmode\",p?\"manual\":\"auto\");p||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===d&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var v=u(n.fullData,c,n.id);s(t,e,{font:n.font,scene:n.id,data:v,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var g=n.getDfltFromLayout(\"dragmode\");if(!1!==g&&!g)if(g=\"orbit\",t.camera&&t.camera.up){var y=t.camera.up.x,m=t.camera.up.y,x=t.camera.up.z;0!==x&&(y&&m&&x?x/Math.sqrt(y*y+m*m+x*x)>.999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}t.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:c,attributes:l,handleDefaults:f,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},346:function(t,e,r){\"use strict\";var n=r(86140),i=r(86968).u,a=r(92880).extendFlat,o=r(3400).counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}t.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:i({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},9020:function(t,e,r){\"use strict\";var n=r(43080),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},t.exports=function(t){var e=new a;return e.merge(t),e}},87152:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],u=0;u<3;++u){var c=s[a[u]];if(c._length=(r[u].hi-r[u].lo)*r[u].pixelsPerDataUnit/t.dataScale[u],Math.abs(c._length)===1/0||isNaN(c._length))l[u]=[];else{c._input_range=c.range.slice(),c.range[0]=r[u].lo/t.dataScale[u],c.range[1]=r[u].hi/t.dataScale[u],c._m=1/(t.dataScale[u]*r[u].pixelsPerDataUnit),c.range[0]===c.range[1]&&(c.range[0]-=1,c.range[1]+=1);var f=c.tickmode;if(\"auto\"===c.tickmode){c.tickmode=\"linear\";var h=c.nticks||i.constrain(c._length/40,4,9);n.autoTicks(c,Math.abs(c.range[1]-c.range[0])/h)}for(var p=n.calcTicks(c,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[u],\"date\"===c.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[u]=p,c.tickmode=f}}for(e.ticks=l,u=0;u<3;++u)for(o[u]=.5*(t.glplot.bounds[0][u]+t.glplot.bounds[1][u]),d=0;d<2;++d)e.bounds[d][u]=t.glplot.bounds[d][u];t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=r(54460),i=r(3400),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},94424:function(t){\"use strict\";function e(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}t.exports=function(t,r){return e(t.projection,e(t.view,e(t.model,[r[0],r[1],r[2],1])))}},98432:function(t,e,r){\"use strict\";var n,i,a=r(67792).gl_plot3d,o=a.createCamera,s=a.createScene,l=r(5408),u=r(89184),c=r(24040),f=r(3400),h=f.preserveDrawingBuffer(),p=r(54460),d=r(93024),v=r(43080),g=r(16576),y=r(94424),m=r(44728),x=r(9020),b=r(87152),_=r(19280).applyAutorangeOptions,w=!1;function T(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=m(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=c.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=c.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var k=T.prototype;k.prepareOptions=function(){var t=this,e={canvas:t.canvas,gl:t.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:t.camera,pixelRatio:t.pixelRatio};if(t.staticMode){if(!(i||(n=document.createElement(\"canvas\"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");e.gl=i,e.canvas=n}return e};var A=!0;k.tryCreatePlot=function(){var t=this,e=t.prepareOptions(),r=!0;try{t.glplot=s(e)}catch(n){if(t.staticMode||!A||h)r=!1;else{f.warn([\"webgl setup failed possibly due to\",\"false preserveDrawingBuffer config.\",\"The mobile/tablet device may not be detected by is-mobile module.\",\"Enabling preserveDrawingBuffer in second attempt to create webgl scene...\"].join(\" \"));try{h=e.glOptions.preserveDrawingBuffer=!0,t.glplot=s(e)}catch(t){h=e.glOptions.preserveDrawingBuffer=!1,r=!1}}}return A=!1,r},k.initializeGLCamera=function(){var t=this,e=t.fullSceneLayout.camera,r=\"orthographic\"===e.projection.type;t.camera=o(t.container,{center:[e.center.x,e.center.y,e.center.z],eye:[e.eye.x,e.eye.y,e.eye.z],up:[e.up.x,e.up.y,e.up.z],_ortho:r,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},k.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener(\"mouseup\",(function(){i(t)})),t.glplot.canvas.addEventListener(\"touchstart\",(function(){w=!0})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!u&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},k.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),b(e),e.glplot.axes.update(e.axesOptions);for(var u=Object.keys(e.traces),c=null,h=e.glplot.selection,v=0;v<u.length;++v)\"skip\"!==(t=e.traces[u[v]]).data.hoverinfo&&t.handlePick(h)&&(c=t),t.setContourLevels&&t.setContourLevels();function g(t,r,n){var i=e.fullSceneLayout[t+\"axis\"];return\"log\"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==c){var m=y(e.glplot.cameraParams,h.dataCoordinate);t=c.data;var x,_=r._fullData[t.index],T=h.index,k={xLabel:g(\"x\",h.traceCoordinate[0],t.xhoverformat),yLabel:g(\"y\",h.traceCoordinate[1],t.yhoverformat),zLabel:g(\"z\",h.traceCoordinate[2],t.zhoverformat)},A=d.castHoverinfo(_,e.fullLayout,T),M=(A||\"\").split(\"+\"),S=A&&\"all\"===A;_.hovertemplate||S||(-1===M.indexOf(\"x\")&&(k.xLabel=void 0),-1===M.indexOf(\"y\")&&(k.yLabel=void 0),-1===M.indexOf(\"z\")&&(k.zLabel=void 0),-1===M.indexOf(\"text\")&&(h.textLabel=void 0),-1===M.indexOf(\"name\")&&(c.name=void 0));var E=[];\"cone\"===t.type||\"streamtube\"===t.type?(k.uLabel=g(\"x\",h.traceCoordinate[3],t.uhoverformat),(S||-1!==M.indexOf(\"u\"))&&E.push(\"u: \"+k.uLabel),k.vLabel=g(\"y\",h.traceCoordinate[4],t.vhoverformat),(S||-1!==M.indexOf(\"v\"))&&E.push(\"v: \"+k.vLabel),k.wLabel=g(\"z\",h.traceCoordinate[5],t.whoverformat),(S||-1!==M.indexOf(\"w\"))&&E.push(\"w: \"+k.wLabel),k.normLabel=h.traceCoordinate[6].toPrecision(3),(S||-1!==M.indexOf(\"norm\"))&&E.push(\"norm: \"+k.normLabel),\"streamtube\"===t.type&&(k.divergenceLabel=h.traceCoordinate[7].toPrecision(3),(S||-1!==M.indexOf(\"divergence\"))&&E.push(\"divergence: \"+k.divergenceLabel)),h.textLabel&&E.push(h.textLabel),x=E.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(k.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),E.push(\"value: \"+k.valueLabel),h.textLabel&&E.push(h.textLabel),x=E.join(\"<br>\")):x=h.textLabel;var L={x:h.traceCoordinate[0],y:h.traceCoordinate[1],z:h.traceCoordinate[2],data:_._input,fullData:_,curveNumber:_.index,pointNumber:T};d.appendArrayPointValue(L,_,T),t._module.eventData&&(L=_._module.eventData(L,h,_,{},T));var C={points:[L]};if(e.fullSceneLayout.hovermode){var P=[];d.loneHover({trace:_,x:(.5+.5*m[0]/m[3])*s,y:(.5-.5*m[1]/m[3])*l,xLabel:k.xLabel,yLabel:k.yLabel,zLabel:k.zLabel,text:x,name:c.name,color:d.castHoverOption(_,T,\"bgcolor\")||c.color,borderColor:d.castHoverOption(_,T,\"bordercolor\"),fontFamily:d.castHoverOption(_,T,\"font.family\"),fontSize:d.castHoverOption(_,T,\"font.size\"),fontColor:d.castHoverOption(_,T,\"font.color\"),nameLength:d.castHoverOption(_,T,\"namelength\"),textAlign:d.castHoverOption(_,T,\"align\"),hovertemplate:f.castOption(_,T,\"hovertemplate\"),hovertemplateLabels:f.extendFlat({},L,k),eventData:[L]},{container:n,gd:r,inOut_bbox:P}),L.bbox=P[0]}h.distance<5&&(h.buttons||w)?r.emit(\"plotly_click\",C):r.emit(\"plotly_hover\",C),this.oldEventData=C}else d.loneUnhover(n),this.oldEventData&&r.emit(\"plotly_unhover\",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)},k.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):f.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")};requestAnimationFrame(e)};var M=[\"xaxis\",\"yaxis\",\"zaxis\"];function S(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=M[i],o=a.charAt(0),s=n[a],l=e[o],u=e[o+\"calendar\"],c=e[\"_\"+o+\"length\"];if(f.isArrayOrTypedArray(l))for(var h,p=0;p<(c||l.length);p++)if(f.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)h=s.d2l(l[p][d],0,u),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else h=s.d2l(l[p],0,u),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],c-1)}}k.plot=function(t,e,r){var n=this;if(n.plotArgs=[t,e,r],!n.glplot.contextLost){var i,a,o,s,l,u,c=e[n.id],f=r[n.id];n.fullLayout=e,n.fullSceneLayout=c,n.axesOptions.merge(e,c),n.spikeOptions.merge(c),n.setViewport(c),n.updateFx(c.dragmode,c.hovermode),n.camera.enableWheel=n.graphDiv._context._scrollZoom.gl3d,n.glplot.setClearColor(v(c.bgcolor)),n.setConvert(l),t?Array.isArray(t)||(t=[t]):t=[];var h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(o=0;o<t.length;++o)!0===(i=t[o]).visible&&0!==i._length&&S(this,i,h);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=M[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var u=n[l];if(u.visible){var c=s.r2l(u[o]);!isNaN(c)&&isFinite(c)&&(e[0][i]=Math.min(e[0][i],c),e[1][i]=Math.max(e[1][i],c))}}}(this,h);var p=[1,1,1];for(s=0;s<3;++s)h[1][s]===h[0][s]?p[s]=1:p[s]=1/(h[1][s]-h[0][s]);for(n.dataScale=p,n.convertAnnotations(this),o=0;o<t.length;++o)!0===(i=t[o]).visible&&0!==i._length&&((a=n.traces[i.uid])?a.data.type===i.type?a.update(i):(a.dispose(),a=i._module.plot(this,i),n.traces[i.uid]=a):(a=i._module.plot(this,i),n.traces[i.uid]=a),a.name=i.name);var d=Object.keys(n.traces);t:for(o=0;o<d.length;++o){for(s=0;s<t.length;++s)if(t[s].uid===d[o]&&!0===t[s].visible&&0!==t[s]._length)continue t;(a=n.traces[d[o]]).dispose(),delete n.traces[d[o]]}n.glplot.objects.sort((function(t,e){return t._trace.data.index-e._trace.data.index}));var g,y=[[0,0,0],[0,0,0]],m=[],x={};for(o=0;o<3;++o){var b;if((u=(l=c[M[o]]).type)in x?(x[u].acc*=p[o],x[u].count+=1):x[u]={acc:p[o],count:1},l.autorange){y[0][o]=1/0,y[1][o]=-1/0;var w=n.glplot.objects,T=n.fullSceneLayout.annotations||[],k=l._name.charAt(0);for(s=0;s<w.length;s++){var 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t=this;t.glplot&&(t.camera.mouseListener.enabled=!1,t.container.removeEventListener(\"wheel\",t.camera.wheelListener),t.camera=null,t.glplot.dispose(),t.container.parentNode.removeChild(t.container),t.glplot=null)},k.getCamera=function(){var t,e=this;return e.camera.view.recalcMatrix(e.camera.view.lastT()),{up:{x:(t=e.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?\"orthographic\":\"perspective\"}}},k.setViewport=function(t){var e,r=this,n=t.camera;r.camera.lookAt.apply(this,[[(e=n).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),r.glplot.setAspectratio(t.aspectratio),\"orthographic\"===n.projection.type!==r.camera._ortho&&(r.glplot.redraw(),r.glplot.clearRGBA(),r.glplot.dispose(),r.initializeGLPlot())},k.isCameraChanged=function(t){var e=this.getCamera(),r=f.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var 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n=0;n<r;++n)for(var i=0;i<e;++i){var a=4*(e*n+i),o=t[a+3];if(o>0)for(var s=255/o,l=0;l<3;++l)t[a+l]=Math.min(s*t[a+l],255)}}(o,i,a);var s=document.createElement(\"canvas\");s.width=i,s.height=a;var l,u=s.getContext(\"2d\",{willReadFrequently:!0}),c=u.createImageData(i,a);switch(c.data.set(o),u.putImageData(c,0,0),t){case\"jpeg\":l=s.toDataURL(\"image/jpeg\");break;case\"webp\":l=s.toDataURL(\"image/webp\");break;default:l=s.toDataURL(\"image/png\")}return e.staticMode&&e.container.removeChild(n),l},k.setConvert=function(){for(var t=0;t<3;t++){var e=this.fullSceneLayout[M[t]];p.setConvert(e,this.fullLayout),e.setScale=f.noop}},k.make4thDimension=function(){var t=this,e=t.graphDiv._fullLayout;t._mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},p.setConvert(t._mockAxis,e)},t.exports=T},52094:function(t){\"use strict\";t.exports=function(t,e,r,n){n=n||t.length;for(var i=new Array(n),a=0;a<n;a++)i[a]=[t[a],e[a],r[a]];return i}},64859:function(t,e,r){\"use strict\";var 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e,r,s=this,u=s.isSmith,c=s.gd,f=s.layers,h=t._zoomlayer,p=S.MINZOOM,d=S.OFFEDGE,v=s.radius,x=s.innerRadius,T=s.cx,k=s.cy,A=s.cxx,M=s.cyy,L=s.sectorInRad,C=s.vangles,P=s.radialAxis,O=E.clampTiny,I=E.findXYatLength,z=E.findEnclosingVertexAngles,D=S.cornerHalfWidth,R=S.cornerLen/2,F=g.makeDragger(f,\"path\",\"maindrag\",!1===t.dragmode?\"none\":\"crosshair\");n.select(F).attr(\"d\",s.pathSubplot()).attr(\"transform\",l(T,k)),F.onmousemove=function(t){m.hover(c,t,s.id),c._fullLayout._lasthover=F,c._fullLayout._hoversubplot=s.id},F.onmouseout=function(t){c._dragging||y.unhover(c,t)};var B,N,j,U,V,q,H,G,W,Y={element:F,gd:c,subplot:s.id,plotinfo:{id:s.id,xaxis:s.xaxis,yaxis:s.yaxis},xaxes:[s.xaxis],yaxes:[s.yaxis]};function X(t,e){return Math.sqrt(t*t+e*e)}function Z(t,e){return X(t-A,e-M)}function K(t,e){return Math.atan2(M-e,t-A)}function J(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function $(t,e){if(0===t)return s.pathSector(2*D);var 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p=c._fullLayout._invTransform;e=c._fullLayout._invScaleX,r=c._fullLayout._invScaleY;var d=o.apply3DTransform(p)(n-f.left,a-f.top);if(B=d[0],N=d[1],C){var y=E.findPolygonOffset(v,L[0],L[1],C);B+=A+y[0],N+=M+y[1]}switch(l){case\"zoom\":Y.clickFn=st,u||(Y.moveFn=C?it:rt,Y.doneFn=at,function(){j=null,U=null,V=s.pathSubplot(),q=!1;var t=c._fullLayout[s.id];H=i(t.bgcolor).getLuminance(),(G=g.makeZoombox(h,H,T,k,V)).attr(\"fill-rule\",\"evenodd\"),W=g.makeCorners(h,T,k),w(c)}());break;case\"select\":case\"lasso\":b(t,n,a,Y,l)}},y.init(Y)},N.updateRadialDrag=function(t,e,r){var i=this,u=i.gd,c=i.layers,f=i.radius,h=i.innerRadius,p=i.cx,d=i.cy,v=i.radialAxis,m=S.radialDragBoxSize,x=m/2;if(v.visible){var b,_,T,M=R(i.radialAxisAngle),E=v._rl,L=E[0],C=E[1],P=E[r],O=.75*(E[1]-E[0])/(1-i.getHole(e))/f;r?(b=p+(f+x)*Math.cos(M),_=d-(f+x)*Math.sin(M),T=\"radialdrag\"):(b=p+(h-x)*Math.cos(M),_=d-(h-x)*Math.sin(M),T=\"radialdrag-inner\");var I,z,D,B=g.makeRectDragger(c,T,\"crosshair\",-x,-x,m,m),N={element:B,gd:u};!1===t.dragmode&&(N.dragmode=!1),V(n.select(B),v.visible&&h<f,{transform:l(b,_)}),N.prepFn=function(){I=null,z=null,D=null,N.moveFn=j,N.doneFn=q,w(u)},N.clampFn=function(t,e){return Math.sqrt(t*t+e*e)<S.MINDRAG&&(t=0,e=0),[t,e]},y.init(N)}function j(t,e){if(I)I(t,e);else{var n=[t,-e],a=[Math.cos(M),Math.sin(M)],s=Math.abs(o.dot(n,a)/Math.sqrt(o.dot(n,n)));isNaN(s)||(I=s<.5?H:G)}var l={};!function(t){null!==z?t[i.id+\".radialaxis.angle\"]=z:null!==D&&(t[i.id+\".radialaxis.range[\"+r+\"]\"]=D)}(l),u.emit(\"plotly_relayouting\",l)}function q(){null!==z?a.call(\"_guiRelayout\",u,i.id+\".radialaxis.angle\",z):null!==D&&a.call(\"_guiRelayout\",u,i.id+\".radialaxis.range[\"+r+\"]\",D)}function H(t,e){if(0!==r){var n=b+t,a=_+e;z=Math.atan2(d-a,n-p),i.vangles&&(z=U(z,i.vangles)),z=F(z);var o=l(p,d)+s(-z);c[\"radial-axis\"].attr(\"transform\",o),c[\"radial-line\"].select(\"line\").attr(\"transform\",o);var 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i=t[0].trace,o=\"h\"===i.orientation,s=\"waterfall\"===i.type,l=\"funnel\"===i.type;function u(t){return c(o?r:n,+t,!0).text}var f,h,p=i.textinfo,d=t[e],v=p.split(\"+\"),g=[],y=function(t){return-1!==v.indexOf(t)};if(y(\"label\")&&g.push((h=t[e].p,c(o?n:r,h,!0).text)),y(\"text\")&&(0===(f=a.castOption(i,d.i,\"text\"))||f)&&g.push(f),s){var m=+d.rawS||d.s,x=d.v,b=x-m;y(\"initial\")&&g.push(u(b)),y(\"delta\")&&g.push(u(m)),y(\"final\")&&g.push(u(x))}if(l){y(\"value\")&&g.push(u(d.s));var _=0;y(\"percent initial\")&&_++,y(\"percent previous\")&&_++,y(\"percent total\")&&_++;var w=_>1;y(\"percent initial\")&&(f=a.formatPercent(d.begR),w&&(f+=\" of initial\"),g.push(f)),y(\"percent previous\")&&(f=a.formatPercent(d.difR),w&&(f+=\" of previous\"),g.push(f)),y(\"percent total\")&&(f=a.formatPercent(d.sumR),w&&(f+=\" of total\"),g.push(f))}return g.join(\"<br>\")}(e,r,n,i):v.getValue(s.text,r),v.coerceString(m,o)}(I,n,i,S,O);k=function(t,e){var r=v.getValue(t.textposition,e);return v.coerceEnumerated(x,r)}(D,i);var B=\"stack\"===w.mode||\"relative\"===w.mode,N=n[i],j=!B||N._outmost,U=N.hasB,V=g&&g-y>_;if(F&&\"none\"!==k&&(!N.isBlank&&s!==u&&f!==p||\"auto\"!==k&&\"inside\"!==k)){var q=I.font,H=d.getBarColor(n[i],D),G=d.getInsideTextFont(D,i,q,H),W=d.getOutsideTextFont(D,i,q),Y=D.insidetextanchor||\"end\",X=r.datum();R?\"log\"===S.type&&X.s0<=0&&(s=S.range[0]<S.range[1]?0:S._length):\"log\"===O.type&&X.s0<=0&&(f=O.range[0]<O.range[1]?O._length:0);var Z,K,J,$,Q,tt=Math.abs(u-s),et=Math.abs(p-f),rt=tt-2*_,nt=et-2*_;if(\"outside\"===k&&(j||N.hasB||(k=\"inside\")),\"auto\"===k)if(j){k=\"inside\",Z=z(r,F,Q=a.ensureUniformFontSize(t,G)),J=(K=l.bBox(Z.node())).width,$=K.height;var it,at=J>0&&$>0;it=V?U?E(rt-2*g,nt,J,$,R)||E(rt,nt-2*g,J,$,R):R?E(rt-(g-y),nt,J,$,R)||E(rt,nt-2*(g-y),J,$,R):E(rt,nt-(g-y),J,$,R)||E(rt-2*(g-y),nt,J,$,R):E(rt,nt,J,$,R),at&&it?k=\"inside\":(k=\"outside\",Z.remove(),Z=null)}else k=\"inside\";if(!Z){var ot=(Z=z(r,F,Q=a.ensureUniformFontSize(t,\"outside\"===k?W:G))).attr(\"transform\");if(Z.attr(\"transform\",\"\"),J=(K=l.bBox(Z.node())).width,$=K.height,Z.attr(\"transform\",ot),J<=0||$<=0)return void Z.remove()}var st,lt=D.textangle;st=\"outside\"===k?function(t,e,r,n,i,a){var o,s=!!a.isHorizontal,l=!!a.constrained,u=a.angle||0,c=i.width,f=i.height,h=Math.abs(e-t),p=Math.abs(n-r);o=s?p>2*_?_:0:h>2*_?_:0;var d=1;l&&(d=s?Math.min(1,p/f):Math.min(1,h/c));var v=L(u),g=C(i,v),y=(s?g.x:g.y)/2,m=(i.left+i.right)/2,x=(i.top+i.bottom)/2,b=(t+e)/2,w=(r+n)/2,T=0,k=0,M=s?A(e,t):A(r,n);return s?(b=e-M*o,T=M*y):(w=n+M*o,k=-M*y),{textX:m,textY:x,targetX:b,targetY:w,anchorX:T,anchorY:k,scale:d,rotate:v}}(s,u,f,p,K,{isHorizontal:R,constrained:\"both\"===D.constraintext||\"outside\"===D.constraintext,angle:lt}):P(s,u,f,p,K,{isHorizontal:R,constrained:\"both\"===D.constraintext||\"inside\"===D.constraintext,angle:lt,anchor:Y,hasB:U,r:g,overhead:y}),st.fontSize=Q.size,h(\"histogram\"===D.type?\"bar\":D.type,st,I),N.transform=st;var ut=M(Z,I,w,T);a.setTransormAndDisplay(ut,st)}else r.select(\"text\").remove()}(t,e,R,r,T,H,G,W,Y,rt,it,g,y),e.layerClipId&&l.hideOutsideRangePoint(u,R.select(\"text\"),w,O,f.xcalendar,f.ycalendar)}));var W=!1===f.cliponaxis;l.setClipUrl(u,W?null:e.layerClipId,t)}));u.getComponentMethod(\"errorbars\",\"plot\")(t,D,e,g)},toMoveInsideBar:P}},45784:function(t){\"use strict\";function e(t,e,r,n,i){var a=e.c2p(n?t.s0:t.p0,!0),o=e.c2p(n?t.s1:t.p1,!0),s=r.c2p(n?t.p0:t.s0,!0),l=r.c2p(n?t.p1:t.s1,!0);return i?[(a+o)/2,(s+l)/2]:n?[o,(s+l)/2]:[(a+o)/2,l]}t.exports=function(t,r){var n,i=t.cd,a=t.xaxis,o=t.yaxis,s=i[0].trace,l=\"funnel\"===s.type,u=\"h\"===s.orientation,c=[];if(!1===r)for(n=0;n<i.length;n++)i[n].selected=0;else for(n=0;n<i.length;n++){var f=i[n],h=\"ct\"in f?f.ct:e(f,a,o,u,l);r.contains(h,!1,n,t)?(c.push({pointNumber:n,x:a.c2d(f.x),y:o.c2d(f.y)}),f.selected=1):f.selected=0}return c}},72592:function(t,e,r){\"use strict\";t.exports=i;var n=r(3400).distinctVals;function i(t,e){this.traces=t,this.sepNegVal=e.sepNegVal,this.overlapNoMerge=e.overlapNoMerge;for(var r=1/0,i=e.posAxis._id.charAt(0),a=[],o=0;o<t.length;o++){for(var s=t[o],l=0;l<s.length;l++){var u=s[l],c=u.p;void 0===c&&(c=u[i]),void 0!==c&&a.push(c)}s[0]&&s[0].width1&&(r=Math.min(s[0].width1,r))}this.positions=a;var f=n(a);this.distinctPositions=f.vals,1===f.vals.length&&r!==1/0?this.minDiff=r:this.minDiff=Math.min(f.minDiff,r);var 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i,a=t.cd[0].trace.hoveron,o=[];return-1!==a.indexOf(\"boxes\")&&(o=o.concat(l(t,e,r,n))),-1!==a.indexOf(\"points\")&&(i=u(t,e,r)),\"closest\"===n?i?[i]:o:i?(o.push(i),o):o},hoverOnBoxes:l,hoverOnPoints:u}},67244:function(t,e,r){\"use strict\";t.exports={attributes:r(63188),layoutAttributes:r(16560),supplyDefaults:r(90624).supplyDefaults,crossTraceDefaults:r(90624).crossTraceDefaults,supplyLayoutDefaults:r(68832).supplyLayoutDefaults,calc:r(62555),crossTraceCalc:r(96404).crossTraceCalc,plot:r(18728).plot,style:r(25776).style,styleOnSelect:r(25776).styleOnSelect,hoverPoints:r(27576).hoverPoints,eventData:r(10392),selectPoints:r(8264),moduleType:\"trace\",name:\"box\",basePlotModule:r(57952),categories:[\"cartesian\",\"svg\",\"symbols\",\"oriented\",\"box-violin\",\"showLegend\",\"boxLayout\",\"zoomScale\"],meta:{}}},16560:function(t){\"use 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b=t.selectAll(\"path.box\").data(\"violin\"!==r.type||r.box.visible?i.identity:[]);b.enter().append(\"path\").style(\"vector-effect\",o?\"none\":\"non-scaling-stroke\").attr(\"class\",\"box\"),b.exit().remove(),b.each((function(t){if(t.empty)return n.select(this).attr(\"d\",\"M0,0Z\");var e=f.c2l(t.pos+p,!0),a=f.l2p(e-s)+v,o=f.l2p(e+l)+v,b=h?(a+o)/2:f.l2p(e)+v,_=r.whiskerwidth,w=h?a*_+(1-_)*b:f.l2p(e-d)+v,T=h?o*_+(1-_)*b:f.l2p(e+d)+v,k=f.l2p(e-s*x)+v,A=f.l2p(e+l*x)+v,M=\"sd\"===r.sizemode,S=c.c2p(M?t.mean-t.sd:t.q1,!0),E=M?c.c2p(t.mean+t.sd,!0):c.c2p(t.q3,!0),L=i.constrain(M?c.c2p(t.mean,!0):c.c2p(t.med,!0),Math.min(S,E)+1,Math.max(S,E)-1),C=void 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n=r(49084),i=r(29736).axisHoverFormat,a=r(21776).Ks,o=r(52948),s=r(45464),l=r(92880).extendFlat,u={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},u:{valType:\"data_array\",editType:\"calc\"},v:{valType:\"data_array\",editType:\"calc\"},w:{valType:\"data_array\",editType:\"calc\"},sizemode:{valType:\"enumerated\",values:[\"scaled\",\"absolute\",\"raw\"],editType:\"calc\",dflt:\"scaled\"},sizeref:{valType:\"number\",editType:\"calc\",min:0},anchor:{valType:\"enumerated\",editType:\"calc\",values:[\"tip\",\"tail\",\"cm\",\"center\"],dflt:\"cm\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"},{keys:[\"norm\"]}),uhoverformat:i(\"u\",1),vhoverformat:i(\"v\",1),whoverformat:i(\"w\",1),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),showlegend:l({},s.showlegend,{dflt:!1})};l(u,n(\"\",{colorAttr:\"u/v/w 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O=C.selectAll(\"text\").data(P);function I(e,r,n,i){if(!e.match(\"s\")||n>=0==i>=0||r(n).slice(-1).match(_)||r(i).slice(-1).match(_))return r;var a=e.slice().replace(\"s\",\"f\").replace(/\\d+/,(function(t){return parseInt(t)-1})),o=k(t,{tickformat:a});return function(t){return Math.abs(t)<1?d.tickText(o,t).text:r(t)}}O.enter().append(\"text\"),O.attr(\"text-anchor\",(function(){return A})).attr(\"class\",(function(t){return t})).attr(\"x\",null).attr(\"y\",null).attr(\"dx\",null).attr(\"dy\",null),O.exit().remove();var z,D=v.mode+v.align;if(v._hasDelta&&(z=function(){var e=k(t,{tickformat:v.delta.valueformat},v._range);e.setScale(),d.prepTicks(e);var i=function(t){return d.tickText(e,t).text},o=v.delta.suffix,s=v.delta.prefix,l=function(t){return v.delta.relative?t.relativeDelta:t.delta},u=function(t,e){return 0===t||\"number\"!=typeof t||isNaN(t)?\"-\":(t>0?v.delta.increasing.symbol:v.delta.decreasing.symbol)+s+e(t)+o},h=function(t){return 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U,V,q,H=j.select(\"path\");w(M)?(H.transition().duration(M.duration).ease(M.easing).each(\"end\",(function(){S&&S()})).each(\"interrupt\",(function(){S&&S()})).attrTween(\"d\",(U=N,V=L(r[0].lastY),q=L(r[0].y),function(){var t=i(V,q);return function(e){return U.endAngle(t(e))()}})),p._lastValue=r[0].y):H.attr(\"d\",\"number\"==typeof r[0].y?N.endAngle(L(r[0].y)):\"M0,0Z\"),H.call(T),j.exit().remove(),F=[];var G=p.gauge.threshold.value;(G||0===G)&&F.push({range:[G,G],color:p.gauge.threshold.color,line:{color:p.gauge.threshold.line.color,width:p.gauge.threshold.line.width},thickness:p.gauge.threshold.thickness});var W=_.selectAll(\"g.threshold-arc\").data(F);W.enter().append(\"g\").classed(\"threshold-arc\",!0).append(\"path\"),W.select(\"path\").call(P).call(T),W.exit().remove();var Y=_.selectAll(\"g.gauge-outline\").data([x]);Y.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),Y.select(\"path\").call(P).call(T),Y.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:W,layer:Y,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var X=I.selectAll(\"g.bullet\").data(R?e:[]);X.exit().remove();var Z=I.selectAll(\"g.bulletaxis\").data(R?e:[]);Z.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,u,c=r[0].trace,f=n.gauge,p=n.layer,v=n.gaugeBg,g=n.gaugeOutline,y=n.size,x=c.domain,b=n.transitionOpts,_=n.onComplete;f.enter().append(\"g\").classed(\"bullet\",!0),f.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=c.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(c._hasNumber||c._hasDelta?1-h.bulletNumberDomainSize:1);function L(t){t.attr(\"width\",(function(t){return 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O=f.selectAll(\"g.value-bullet\").data([c.gauge.bar]);O.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),O.select(\"rect\").attr(\"height\",M).attr(\"y\",(A-M)/2).call(T),w(b)?O.select(\"rect\").transition().duration(b.duration).ease(b.easing).each(\"end\",(function(){_&&_()})).each(\"interrupt\",(function(){_&&_()})).attr(\"width\",Math.max(0,i.c2p(Math.min(c.gauge.axis.range[1],r[0].y)))):O.select(\"rect\").attr(\"width\",\"number\"==typeof r[0].y?Math.max(0,i.c2p(Math.min(c.gauge.axis.range[1],r[0].y))):0),O.exit().remove();var I=r.filter((function(){return 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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}},6296:function(t,e,r){\"use 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n=r(49084),i=r(29736).axisHoverFormat,a=r(21776).Ks,o=r(16716),s=r(45464),l=r(92880).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 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n=r(67792).gl_mesh3d,i=r(67792).delaunay_triangulate,a=r(67792).alpha_shape,o=r(67792).convex_hull,s=r(33040).parseColorScale,l=r(3400).isArrayOrTypedArray,u=r(43080),c=r(8932).extractOpts,f=r(52094);function h(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=h.prototype;function d(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=u(t[n]);return e}function v(t,e,r,n){for(var i=[],a=e.length,o=0;o<a;o++)i[o]=t.d2l(e[o],0,n)*r;return i}function g(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=Math.round(t[n]);return e}function y(t,e){for(var r=t.length,n=0;n<r;n++)if(t[n]<=-.5||t[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 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p={positions:h,cells:n,lightPosition:[t.lightposition.x,t.lightposition.y,t.lightposition.z],ambient:t.lighting.ambient,diffuse:t.lighting.diffuse,specular:t.lighting.specular,roughness:t.lighting.roughness,fresnel:t.lighting.fresnel,vertexNormalsEpsilon:t.lighting.vertexnormalsepsilon,faceNormalsEpsilon:t.lighting.facenormalsepsilon,opacity:t.opacity,contourEnable:t.contour.show,contourColor:u(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading};if(t.intensity){var m=c(t);this.color=\"#fff\";var x=t.intensitymode;p[x+\"Intensity\"]=t.intensity,p[x+\"IntensityBounds\"]=[m.min,m.max],p.colormap=s(t)}else t.vertexcolor?(this.color=t.vertexcolor[0],p.vertexColors=d(t.vertexcolor)):t.facecolor?(this.color=t.facecolor[0],p.cellColors=d(t.facecolor)):(this.color=t.color,p.meshColor=u(t.color));this.mesh.update(p)},p.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},t.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new 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a,s=t._fullData,l=[];for(i=1/0,a=0;a<s.length;a++){var u=s[a];if(\"ohlc\"===u.type&&!0===u.visible&&u.xaxis===e._id){l.push(u);var c=e.makeCalcdata(u,\"x\");u._origX=c;var f=o(r,e,\"x\",c).vals;u._xcalc=f;var h=n.distinctVals(f).minDiff;h&&isFinite(h)&&(i=Math.min(i,h))}}for(i===1/0&&(i=1),a=0;a<l.length;a++)l[a]._minDiff=i}return i*r.tickwidth}(t,r,e),c=e._minDiff;e._minDiff=null;var f=e._origX;e._origX=null;var h=e._xcalc;e._xcalc=null;var p=u(t,e,f,h,i,l);return e._extremes[r._id]=a.findExtremes(r,h,{vpad:c/2}),p.length?(n.extendFlat(p[0].t,{wHover:c/2,tickLen:s}),p):[{t:{empty:!0}}]},calcCommon:u}},23860:function(t,e,r){\"use strict\";var n=r(3400),i=r(52744),a=r(31147),o=r(20279);function s(t,e,r,n){r(n+\".line.color\"),r(n+\".line.width\",e.line.width),r(n+\".line.dash\",e.line.dash)}t.exports=function(t,e,r,l){function u(r,i){return 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T=a.getDistanceFunction(n,b,_,w);if(a.getClosest(l,T,t),!1===t.index)return null;var k=l[t.index];if(k.empty)return null;var A=c[k.dir],M=A.line.color;return o.opacity(M)&&A.line.width?t.color=M:t.color=A.fillcolor,t.x0=u.c2p(k.pos+v-y,!0),t.x1=u.c2p(k.pos+v+y,!0),t.xLabelVal=void 0!==k.orig_p?k.orig_p:k.pos,t.spikeDistance=w(k)*s/i,t.xSpike=u.c2p(k.pos,!0),t}function f(t,e,r,a){var o=t.cd,s=t.ya,l=o[0].trace,u=o[0].t,f=[],h=c(t,e,r,a);if(!h)return[];var p=o[h.index].hi||l.hoverinfo,d=p.split(\"+\");if(\"all\"!==p&&-1===d.indexOf(\"y\"))return[];for(var v=[\"high\",\"open\",\"close\",\"low\"],g={},y=0;y<v.length;y++){var m,x=v[y],b=l[x][h.index],_=s.c2p(b,!0);b in g?(m=g[b]).yLabel+=\"<br>\"+u.labels[x]+n.hoverLabelText(s,b,l.yhoverformat):((m=i.extendFlat({},h)).y0=m.y1=_,m.yLabelVal=b,m.yLabel=u.labels[x]+n.hoverLabelText(s,b,l.yhoverformat),m.name=\"\",f.push(m),g[b]=m)}return f}function h(t,e,r,i){var a=t.cd,o=t.ya,l=a[0].trace,f=a[0].t,h=c(t,e,r,i);if(!h)return[];var 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n=r(71688).wrap,i=r(94288).hasColorscale,a=r(47128),o=r(68944),s=r(43616),l=r(3400),u=r(38248);function c(t,e,r){t.valueInds.push(e),t.count+=r}function f(t,e,r){return{categoryInds:t,color:e,rawColor:r,valueInds:[],count:0}}function h(t,e,r){t.valueInds.push(e),t.count+=r}t.exports=function(t,e){var r=l.filterVisible(e.dimensions);if(0===r.length)return[];var p,d,v,g=r.map((function(t){var e;if(\"trace\"===t.categoryorder)e=null;else if(\"array\"===t.categoryorder)e=t.categoryarray;else{e=o(t.values);for(var r=!0,n=0;n<e.length;n++)if(!u(e[n])){r=!1;break}e.sort(r?l.sorterAsc:void 0),\"category descending\"===t.categoryorder&&(e=e.reverse())}return function(t,e){e=null==e?[]:e.map((function(t){return t}));var r={},n={},i=[];e.forEach((function(t,e){r[t]=0,n[t]=e}));for(var a=0;a<t.length;a++){var o,s=t[a];void 0===r[s]?(r[s]=1,o=e.push(s)-1,n[s]=o):(r[s]++,o=n[s]),i.push(o)}var l=e.map((function(t){return 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n=r(33428),i=r(67756).Gz,a=r(36424),o=r(93024),s=r(3400),l=s.strTranslate,u=r(43616),c=r(49760),f=r(72736);function h(t,e,r,i){var a=e._context.staticPlot,o=t.map(F.bind(0,e,r)),c=i.selectAll(\"g.parcatslayer\").data([null]);c.enter().append(\"g\").attr(\"class\",\"parcatslayer\").style(\"pointer-events\",a?\"none\":\"all\");var h=c.selectAll(\"g.trace.parcats\").data(o,p),m=h.enter().append(\"g\").attr(\"class\",\"trace parcats\");h.attr(\"transform\",(function(t){return l(t.x,t.y)})),m.append(\"g\").attr(\"class\",\"paths\");var x=h.select(\"g.paths\").selectAll(\"path.path\").data((function(t){return t.paths}),p);x.attr(\"fill\",(function(t){return t.model.color}));var w=x.enter().append(\"path\").attr(\"class\",\"path\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",0);_(w),x.attr(\"d\",(function(t){return 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z=E.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);E.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),k(z),E.exit().remove(),S.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var D=e._fullLayout.paper_bgcolor;M.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",f.makeTextShadow(D)).style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return d(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){u.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),S.append(\"text\").attr(\"class\",\"dimlabel\"),M.select(\"text.dimlabel\").attr(\"text-anchor\",\"middle\").attr(\"alignment-baseline\",\"baseline\").attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"ew-resize\"})).attr(\"x\",(function(t){return t.width/2})).attr(\"y\",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){u.font(n.select(this),t.parcatsViewModel.labelfont)})),M.selectAll(\"rect.bandrect\").on(\"mouseover\",L).on(\"mouseout\",C),M.exit().remove(),A.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",P).on(\"drag\",O).on(\"dragend\",I)),h.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),t.dimensionSelection=n.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")})),h.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function v(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function 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y(t){if(!t.parcatsViewModel.dragDimension&&(_(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(v),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=m(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function m(t){for(var e=[],r=z(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function x(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function b(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=m(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function _(t){t.attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return c.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function T(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function k(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function A(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var 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k(t){t.on(\"mousemove\",(function(t){i.event.preventDefault(),t.parent.inBrushDrag||T(this,t)})).on(\"mouseleave\",(function(t){t.parent.inBrushDrag||m()})).call(i.behavior.drag().on(\"dragstart\",(function(t){!function(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.unitToPaddedPx.invert(r),o=e.brush,s=_(e,r),l=s.interval,u=o.svgBrush;if(u.wasDragged=!1,u.grabbingBar=\"ns\"===s.region,u.grabbingBar){var c=l.map(e.unitToPaddedPx);u.grabPoint=r-c[0]-n.verticalPadding,u.barLength=c[1]-c[0]}u.clickableOrdinalRange=s.clickableOrdinalRange,u.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(u.stayingIntervals=u.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),u.startExtent=s.region?l[\"s\"===s.region?1:0]:a,e.parent.inBrushDrag=!0,u.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,m(),!a.wasDragged)return a.wasDragged=void 0,a.clickableOrdinalRange?r.filterSpecified&&e.multiselect?a.extent.push(a.clickableOrdinalRange):(a.extent=[a.clickableOrdinalRange],r.filterSpecified=!0):o?(a.extent=a.stayingIntervals,0===a.extent.length&&M(r)):M(r),a.brushCallback(e),b(t.parentNode),void a.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),a.newExtent=[p(0,l,a.newExtent[0],a.stayingIntervals),p(1,l,a.newExtent[1],a.stayingIntervals)];var u=a.newExtent[1]>a.newExtent[0];a.extent=a.stayingIntervals.concat(u?[a.newExtent]:[]),a.extent.length||M(r),a.brushCallback(e),u?b(t.parentNode,s):(s(),b(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(v).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 u=t.selectAll(\".highlight\").data(o);u.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\"),u.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]}}},61664:function(t,e,r){\"use strict\";t.exports={attributes:r(82296),supplyDefaults:r(60664),calc:r(95044),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcoords\",basePlotModule:r(19976),categories:[\"gl\",\"regl\",\"noOpacity\",\"noHover\"],meta:{}}},19976:function(t,e,r){\"use strict\";var n=r(33428),i=r(84888)._M,a=r(24196),o=r(9616);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)}},95044:function(t,e,r){\"use strict\";var n=r(3400).isArrayOrTypedArray,i=r(8932),a=r(71688).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;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),a({lineColor:r,cscale:o})}},30140:function(t){\"use strict\";t.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:[\"contextLineLayer\",\"focusLineLayer\",\"pickLineLayer\"],axisTitleOffset:28,axisExtentOffset:10,bar:{width:4,captureWidth:10,fillColor:\"magenta\",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:\"axis-extent-text\",parcoordsLineLayers:\"parcoords-line-layers\",parcoordsLineLayer:\"parcoords-lines\",parcoords:\"parcoords\",parcoordsControlView:\"parcoords-control-view\",yAxis:\"y-axis\",axisOverlays:\"axis-overlays\",axis:\"axis\",axisHeading:\"axis-heading\",axisTitle:\"axis-title\",axisExtent:\"axis-extent\",axisExtentTop:\"axis-extent-top\",axisExtentTopText:\"axis-extent-top-text\",axisExtentBottom:\"axis-extent-bottom\",axisExtentBottomText:\"axis-extent-bottom-text\",axisBrush:\"axis-brush\"},id:{filterBarPattern:\"filter-bar-pattern\"}}},60664:function(t,e,r){\"use strict\";var n=r(3400),i=r(94288).hasColorscale,a=r(27260),o=r(86968).Q,s=r(51272),l=r(54460),u=r(82296),c=r(71864),f=r(30140).maxDimensionCount,h=r(26284);function p(t,e,r,i){function a(r,i){return n.coerce(t,e,u.dimensions,r,i)}var o=a(\"values\"),s=a(\"visible\");if(o&&o.length||(s=e.visible=!1),s){a(\"label\"),a(\"tickvals\"),a(\"ticktext\"),a(\"tickformat\");var f=a(\"range\");e._ax={_id:\"y\",type:\"linear\",showexponent:\"all\",exponentformat:\"B\",range:f},l.setConvert(e._ax,i.layout),a(\"multiselect\");var h=a(\"constraintrange\");h&&(e.constraintrange=c.cleanRanges(h,e))}}t.exports=function(t,e,r,l){function c(r,i){return n.coerce(t,e,u,r,i)}var d=t.dimensions;Array.isArray(d)&&d.length>f&&(n.log(\"parcoords traces support up to \"+f+\" dimensions at the moment\"),d.splice(f));var v=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,c);o(e,l,c),Array.isArray(v)&&v.length||(e.visible=!1),h(e,v,\"values\",g);var y={weight:l.font.weight,style:l.font.style,variant:l.font.variant,family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(c,\"labelfont\",y),n.coerceFont(c,\"tickfont\",y),n.coerceFont(c,\"rangefont\",y),c(\"labelangle\"),c(\"labelside\"),c(\"unselected.line.color\"),c(\"unselected.line.opacity\")}},95724:function(t,e,r){\"use strict\";var n=r(3400).isTypedArray;e.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},e.isOrdinal=function(t){return!!t.tickvals},e.isVisible=function(t){return t.visible||!(\"visible\"in t)}},29928:function(t,e,r){\"use strict\";var n=r(61664);n.plot=r(24196),t.exports=n},51352:function(t,e,r){\"use strict\";var n=[\"precision highp float;\",\"\",\"varying vec4 fragColor;\",\"\",\"attribute vec4 p01_04, p05_08, p09_12, p13_16,\",\"               p17_20, p21_24, p25_28, p29_32,\",\"               p33_36, p37_40, p41_44, p45_48,\",\"               p49_52, p53_56, p57_60, colors;\",\"\",\"uniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\",\"             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\",\"\",\"uniform vec2 resolution, viewBoxPos, viewBoxSize;\",\"uniform float maskHeight;\",\"uniform float drwLayer; // 0: context, 1: focus, 2: pick\",\"uniform vec4 contextColor;\",\"uniform sampler2D maskTexture, palette;\",\"\",\"bool isPick    = (drwLayer > 1.5);\",\"bool isContext = (drwLayer < 0.5);\",\"\",\"const vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\",\"const vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\",\"\",\"float val(mat4 p, mat4 v) {\",\"    return dot(matrixCompMult(p, v) * UNITS, UNITS);\",\"}\",\"\",\"float axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\",\"    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\",\"    return y1 * (1.0 - ratio) + y2 * ratio;\",\"}\",\"\",\"int iMod(int a, int b) {\",\"    return a - b * (a / b);\",\"}\",\"\",\"bool fOutside(float p, float lo, float hi) {\",\"    return (lo < hi) && (lo > p || p > hi);\",\"}\",\"\",\"bool vOutside(vec4 p, vec4 lo, vec4 hi) {\",\"    return (\",\"        fOutside(p[0], lo[0], hi[0]) ||\",\"        fOutside(p[1], lo[1], hi[1]) ||\",\"        fOutside(p[2], lo[2], hi[2]) ||\",\"        fOutside(p[3], lo[3], hi[3])\",\"    );\",\"}\",\"\",\"bool mOutside(mat4 p, mat4 lo, mat4 hi) {\",\"    return (\",\"        vOutside(p[0], lo[0], hi[0]) ||\",\"        vOutside(p[1], lo[1], hi[1]) ||\",\"        vOutside(p[2], lo[2], hi[2]) ||\",\"        vOutside(p[3], lo[3], hi[3])\",\"    );\",\"}\",\"\",\"bool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    return mOutside(A, loA, hiA) ||\",\"           mOutside(B, loB, hiB) ||\",\"           mOutside(C, loC, hiC) ||\",\"           mOutside(D, loD, hiD);\",\"}\",\"\",\"bool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    mat4 pnts[4];\",\"    pnts[0] = A;\",\"    pnts[1] = B;\",\"    pnts[2] = C;\",\"    pnts[3] = D;\",\"\",\"    for(int i = 0; i < 4; ++i) {\",\"        for(int j = 0; j < 4; ++j) {\",\"            for(int k = 0; k < 4; ++k) {\",\"                if(0 == iMod(\",\"                    int(255.0 * texture2D(maskTexture,\",\"                        vec2(\",\"                            (float(i * 2 + j / 2) + 0.5) / 8.0,\",\"                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\",\"                        ))[3]\",\"                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\",\"                    2\",\"                )) return true;\",\"            }\",\"        }\",\"    }\",\"    return false;\",\"}\",\"\",\"vec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    float x = 0.5 * sign(v) + 0.5;\",\"    float y = axisY(x, A, B, C, D);\",\"    float z = 1.0 - abs(v);\",\"\",\"    z += isContext ? 0.0 : 2.0 * float(\",\"        outsideBoundingBox(A, B, C, D) ||\",\"        outsideRasterMask(A, B, C, D)\",\"    );\",\"\",\"    return vec4(\",\"        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\",\"        z,\",\"        1.0\",\"    );\",\"}\",\"\",\"void main() {\",\"    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\",\"    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\",\"    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\",\"    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\",\"\",\"    float v = colors[3];\",\"\",\"    gl_Position = position(isContext, v, A, B, C, D);\",\"\",\"    fragColor =\",\"        isContext ? vec4(contextColor) :\",\"        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\",\"}\"].join(\"\\n\"),i=[\"precision highp float;\",\"\",\"varying vec4 fragColor;\",\"\",\"void main() {\",\"    gl_FragColor = fragColor;\",\"}\"].join(\"\\n\"),a=r(30140).maxDimensionCount,o=r(3400),s=1e-6,l=new Uint8Array(4),u=new Uint8Array(4),c={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function f(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function h(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 u=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],f(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*u,a.offset=2*l*n,e(a),l*n+u<i&&(r.currentRafs[o]=window.requestAnimationFrame((function(){s(l+1)}))),r.drawCompleted=!1)}(0)}function p(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}function d(t,e){return(t>>>8*e)%256/255}function v(t,e,r){for(var n=new Array(8*e),i=0,a=0;a<e;a++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=4*t+s,u=r[64*a+l];63===l&&0===o&&(u*=-1),n[i++]=u}return n}function g(t){var e=\"0\"+t;return e.substr(e.length-2)}function y(t){return t<a?\"p\"+g(t+1)+\"_\"+g(t+4):\"colors\"}function m(t,e,r,n,i,a,s,l,u,c,f,h,p,d){for(var v=[[],[]],g=0;g<64;g++)v[0][g]=g===i?1:0,v[1][g]=g===a?1:0;s*=d,l*=d,u*=d,c*=d;var y=t.lines.canvasOverdrag*d,m=t.domain,x=t.canvasWidth*d,b=t.canvasHeight*d,_=t.pad.l*d,w=t.pad.b*d,T=t.layoutHeight*d,k=t.layoutWidth*d,A=t.deselectedLines.color,M=t.deselectedLines.opacity;return o.extendFlat({key:f,resolution:[x,b],viewBoxPos:[s+y,l],viewBoxSize:[u,c],i0:i,i1:a,dim0A:v[0].slice(0,16),dim0B:v[0].slice(16,32),dim0C:v[0].slice(32,48),dim0D:v[0].slice(48,64),dim1A:v[1].slice(0,16),dim1B:v[1].slice(16,32),dim1C:v[1].slice(32,48),dim1D:v[1].slice(48,64),drwLayer:h,contextColor:[A[0]/255,A[1]/255,A[2]/255,\"auto\"!==M?A[3]*M:Math.max(1/255,Math.pow(1/t.lines.color.length,1/3))],scissorX:(n===e?0:s+y)+(_-y)+k*m.x[0],scissorWidth:(n===r?x-s+y:u+.5)+(n===e?s+y:0),scissorY:l+w+T*m.y[0],scissorHeight:c,viewportX:_-y+k*m.x[0],viewportY:w+T*m.y[0],viewportWidth:x,viewportHeight:b},p)}function x(t){var e=2047,r=Math.max(0,Math.floor(t[0]*e),0),n=Math.min(e,Math.ceil(t[1]*e),e);return[Math.min(r,n),Math.max(r,n)]}t.exports=function(t,e){var r,l,g,b,_,w=e.context,T=e.pick,k=e.regl,A=k._gl,M=A.getParameter(A.ALIASED_LINE_WIDTH_RANGE),S=Math.max(M[0],Math.min(M[1],e.viewModel.plotGlPixelRatio)),E={currentRafs:{},drawCompleted:!0,clearOnly:!1},L=function(t){for(var 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a=u[e][n],o=i.map((function(t){return t.slice()})),s=\"dimensions[\"+n+\"].constraintrange\",l=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===l[s]){var h=a.constraintrange;l[s]=h||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),a.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete a.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit(\"plotly_restyle\",[d,[f[e]]])},hover:function(e){t.emit(\"plotly_hover\",e)},unhover:function(e){t.emit(\"plotly_unhover\",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return s(t,e,r)-s(t,e,n)}}(r,u[e].filter(a));l[e].sort(n),u[e].filter((function(t){return!a(t)})).sort((function(t){return u[e].indexOf(t)})).forEach((function(t){l[e].splice(l[e].indexOf(t),1),l[e].splice(u[e].indexOf(t),0,t)})),t.emit(\"plotly_restyle\",[{dimensions:[l[e]]},[f[e]]])}})}}).reglPrecompiled=o},74996:function(t,e,r){\"use strict\";var n=r(45464),i=r(86968).u,a=r(25376),o=r(22548),s=r(21776).Ks,l=r(21776).Gw,u=r(92880).extendFlat,c=r(98192).c,f=a({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});t.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},pattern:c,editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:u({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:u({},f,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:u({},f,{}),outsidetextfont:u({},f,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:u({},f,{}),position:{valType:\"enumerated\",values:[\"top 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n=r(7316);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)}},45768:function(t,e,r){\"use strict\";var n=r(38248),i=r(49760),a=r(76308),o={};function s(t){return function(e,r){return!!e&&!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e)}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r<t.length;r++)a.push(i(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)a.push(i(t[r]).darken(20).toHexString());e[n]=a}return a}t.exports={calc:function(t,e){var r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],u=e.labels,c=e.marker.colors||[],f=e.values,h=e._length,p=e._hasValues&&h;if(e.dlabel)for(u=new Array(h),r=0;r<h;r++)u[r]=String(e.label0+r*e.dlabel);var d={},v=s(o[\"_\"+e.type+\"colormap\"]),g=0,y=!1;for(r=0;r<h;r++){var m,x,b;if(p){if(m=f[r],!n(m))continue;m=+m}else m=1;void 0!==(x=u[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=a.length,(b=-1!==l.indexOf(x))||(g+=m),a.push({v:m,label:x,color:v(c[r],x),i:r,pts:[r],hidden:b})):(y=!0,(i=a[_]).v+=m,i.pts.push(r),i.hidden||(g+=m),!1===i.color&&c[r]&&(i.color=v(c[r],x)))}return a=a.filter((function(t){return t.v>=0})),(\"funnelarea\"===e.type?y:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var u=0,c=0;c<i.length;c++){var f=i[c];if(f[0].trace.type===r)for(var h=0;h<f.length;h++){var p=f[h];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=a[u%a.length],u++))}}},makePullColorFn:s,generateExtendedColors:l}},74174:function(t,e,r){\"use strict\";var n=r(38248),i=r(3400),a=r(74996),o=r(86968).Q,s=r(31508).handleText,l=r(3400).coercePattern;function u(t,e){var r=i.isArrayOrTypedArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var u=e[l];if(n(u)&&u>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}function c(t,e,r,n,i){n(\"marker.line.width\")&&n(\"marker.line.color\",i?void 0:r.paper_bgcolor);var a=n(\"marker.colors\");l(n,\"marker.pattern\",a),t.marker&&!e.marker.pattern.fgcolor&&(e.marker.pattern.fgcolor=t.marker.colors),e.marker.pattern.bgcolor||(e.marker.pattern.bgcolor=r.paper_bgcolor)}t.exports={handleLabelsAndValues:u,handleMarkerDefaults:c,supplyDefaults:function(t,e,r,n){function l(r,n){return i.coerce(t,e,a,r,n)}var f=u(l(\"labels\"),l(\"values\")),h=f.len;if(e._hasLabels=f.hasLabels,e._hasValues=f.hasValues,!e._hasLabels&&e._hasValues&&(l(\"label0\"),l(\"dlabel\")),h){e._length=h,c(t,e,n,l,!0),l(\"scalegroup\");var p,d=l(\"text\"),v=l(\"texttemplate\");if(v||(p=l(\"textinfo\",i.isArrayOrTypedArray(d)?\"text+percent\":\"percent\")),l(\"hovertext\"),l(\"hovertemplate\"),v||p&&\"none\"!==p){var g=l(\"textposition\");s(t,e,n,l,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&l(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&l(\"insidetextorientation\")}else\"none\"===p&&l(\"textposition\",\"none\");o(e,n,l);var y=l(\"hole\");if(l(\"title.text\")){var m=l(\"title.position\",y?\"middle center\":\"top center\");y||\"middle center\"!==m||(e.title.position=\"top center\"),i.coerceFont(l,\"title.font\",n.font)}l(\"sort\"),l(\"direction\"),l(\"rotation\"),l(\"pull\")}else e.visible=!1}}},53644:function(t,e,r){\"use strict\";var n=r(10624).appendArrayMultiPointValues;t.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},21552:function(t,e,r){\"use strict\";var n=r(43616),i=r(76308);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)}},69656:function(t,e,r){\"use strict\";var n=r(3400);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<e.length;r++){var i=t[e[r]];if(i||0===i||\"\"===i)return i}},e.castOption=function(t,r){return n.isArrayOrTypedArray(t)?e.getFirstFilled(t,r):t||void 0},e.getRotationAngle=function(t){return(\"auto\"===t?0:t)*Math.PI/180}},75792:function(t,e,r){\"use strict\";t.exports={attributes:r(74996),supplyDefaults:r(74174).supplyDefaults,supplyLayoutDefaults:r(90248),layoutAttributes:r(85204),calc:r(45768).calc,crossTraceCalc:r(45768).crossTraceCalc,plot:r(37820).plot,style:r(22152),styleOne:r(10528),moduleType:\"trace\",name:\"pie\",basePlotModule:r(80036),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},85204:function(t){\"use strict\";t.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},90248:function(t,e,r){\"use strict\";var n=r(3400),i=r(85204);t.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},37820:function(t,e,r){\"use strict\";var n=r(33428),i=r(7316),a=r(93024),o=r(76308),s=r(43616),l=r(3400),u=l.strScale,c=l.strTranslate,f=r(72736),h=r(82744),p=h.recordMinTextSize,d=h.clearMinTextSize,v=r(78048).TEXTPAD,g=r(69656),y=r(53644),m=r(3400).isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,u=i.trace,c=\"funnelarea\"===u.type;\"_hasHoverLabel\"in u||(u._hasHoverLabel=!1),\"_hasHoverEvent\"in u||(u._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,f=e._fullData[u.index];if(!e._dragging&&!1!==r.hovermode){var h=f.hoverinfo;if(Array.isArray(h)&&(h=a.castHoverinfo({hoverinfo:[g.castOption(h,t.pts)],_module:u._module},r,0)),\"all\"===h&&(h=\"label+text+value+percent+name\"),f.hovertemplate||\"none\"!==h&&\"skip\"!==h&&h){var p=t.rInscribed||0,d=o+t.pxmid[0]*(1-p),v=s+t.pxmid[1]*(1-p),m=r.separators,x=[];if(h&&-1!==h.indexOf(\"label\")&&x.push(t.label),t.text=g.castOption(f.hovertext||f.text,t.pts),h&&-1!==h.indexOf(\"text\")){var b=t.text;l.isValidTextValue(b)&&x.push(b)}t.value=t.v,t.valueLabel=g.formatPieValue(t.v,m),h&&-1!==h.indexOf(\"value\")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,m),h&&-1!==h.indexOf(\"percent\")&&x.push(t.percentLabel);var _=f.hoverlabel,w=_.font,T=[];a.loneHover({trace:u,x0:d-p*i.r,x1:d+p*i.r,y:v,_x0:c?o+t.TL[0]:d-p*i.r,_x1:c?o+t.TR[0]:d+p*i.r,_y0:c?s+t.TL[1]:v-p*i.r,_y1:c?s+t.BL[1]:v+p*i.r,text:x.join(\"<br>\"),name:f.hovertemplate||-1!==h.indexOf(\"name\")?f.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:g.castOption(_.bgcolor,t.pts)||t.color,borderColor:g.castOption(_.bordercolor,t.pts),fontFamily:g.castOption(w.family,t.pts),fontSize:g.castOption(w.size,t.pts),fontColor:g.castOption(w.color,t.pts),nameLength:g.castOption(_.namelength,t.pts),textAlign:g.castOption(_.align,t.pts),hovertemplate:g.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[y(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],u._hasHoverLabel=!0}u._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[y(t,f)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[u.index],o=n.select(this).datum();u._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[y(o,i)],event:n.event}),u._hasHoverEvent=!1),u._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),u._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[u.index];e._dragging||!1===r.hovermode||(e._hoverdata=[y(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size,s=g.castOption(t.insidetextfont.weight,e.pts)||g.castOption(t.textfont.weight,e.pts)||r.weight,l=g.castOption(t.insidetextfont.style,e.pts)||g.castOption(t.textfont.style,e.pts)||r.style,u=g.castOption(t.insidetextfont.variant,e.pts)||g.castOption(t.textfont.variant,e.pts)||r.variant;return{color:n||o.contrast(e.color),family:i,size:a,weight:s,style:l,variant:u}}function _(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var 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m=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/m,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;v.push(a)}(d||p)&&((a=T(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a)),(d||h)&&((a=k(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a));for(var x=0,b=0,_=0;_<v.length;_++){var w=v[_].scale;if(b<w&&(b=w,x=_),!d&&b>=1)break}return v[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*v);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*v);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=O(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,u=t.r/(void 0===(l=t.trace.aspectratio)?1:l),c=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(c+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?c*=2:-1!==a.title.position.indexOf(\"right\")&&(c+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=c/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function O(t){var e,r=t.pull;if(!r)return 0;if(l.isArrayOrTypedArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function I(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&\"middle center\"!==a.title.position&&(l-=P(i,e));var u=s/2,c=l/2;\"funnelarea\"!==a.type||a.scalegroup||(c/=a.aspectratio),i.r=Math.min(u,c)/(1+O(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf(\"bottom\")&&(i.cy-=P(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var l;if(\"pie\"===i.type)l=r.r*r.r;else if(\"funnelarea\"===i.type){var u,c;i.aspectratio>1?c=(u=r.r)/i.aspectratio:u=(c=r.r)*i.aspectratio,l=(u*=(1+i.baseratio)/2)*c}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var f=o*r.vTotal;\"funnelarea\"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function z(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function D(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&\"none\"!==o){var s,u=o.split(\"+\"),c=function(t){return-1!==u.indexOf(t)},f=c(\"label\"),h=c(\"text\"),p=c(\"value\"),d=c(\"percent\"),v=n.separators;if(s=f?[e.label]:[],h){var y=g.getFirstFilled(i.text,e.pts);m(y)&&s.push(y)}p&&s.push(g.formatPieValue(e.v,v)),d&&s.push(g.formatPiePercent(e.v/r.vTotal,v)),e.text=s.join(\"<br>\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),_=g.getFirstFilled(i.text,e.pts);(m(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=\"\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}t.exports={plot:function(t,e){var r=t._context.staticPlot,a=t._fullLayout,h=a._size;d(\"pie\",a),_(e,t),I(e,h);var v=l.makeTraceGroups(a._pielayer,e,\"trace\").each((function(e){var d=n.select(this),v=e[0],y=v.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,u=\"px0\",c=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,u=\"px1\",c=\"px0\"}for(n=z(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[u]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=z(a,s),r.midangle=s,n=z(a,s+=l*r.v/2),r.stopangle=s,r[c]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),d.attr(\"stroke-linejoin\",\"round\"),d.each((function(){var m=n.select(this).selectAll(\"g.slice\").data(e);m.enter().append(\"g\").classed(\"slice\",!0),m.exit().remove();var _=[[[],[]],[[],[]]],T=!1;m.each((function(i,o){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=y.index,_[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var u=v.cx,c=v.cy,h=n.select(this),d=h.selectAll(\"path.surface\").data([i]);if(d.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":r?\"none\":\"all\"}),h.call(x,t,e),y.pull){var m=+g.castOption(y.pull,i.pts)||0;m>0&&(u+=m*i.pxmid[0],c+=m*i.pxmid[1])}i.cxFinal=u,i.cyFinal=c;var k=y.hole;if(i.v===v.vTotal){var A=\"M\"+(u+i.px0[0])+\",\"+(c+i.px0[1])+P(i.px0,i.pxmid,!0,1)+P(i.pxmid,i.px0,!0,1)+\"Z\";k?d.attr(\"d\",\"M\"+(u+k*i.px0[0])+\",\"+(c+k*i.px0[1])+P(i.px0,i.pxmid,!1,k)+P(i.pxmid,i.px0,!1,k)+\"Z\"+A):d.attr(\"d\",A)}else{var M=P(i.px0,i.px1,!0,1);if(k){var S=1-k;d.attr(\"d\",\"M\"+(u+k*i.px1[0])+\",\"+(c+k*i.px1[1])+P(i.px1,i.px0,!1,k)+\"l\"+S*i.px0[0]+\",\"+S*i.px0[1]+M+\"Z\")}else d.attr(\"d\",\"M\"+u+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+M+\"Z\")}D(t,i,v);var E=g.castOption(y.textposition,i.pts),C=h.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==E?[0]:[]);C.enter().append(\"g\").classed(\"slicetext\",!0),C.exit().remove(),C.each((function(){var r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=l.ensureUniformFontSize(t,\"outside\"===E?function(t,e,r){return{color:g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,family:g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,size:g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size,weight:g.castOption(t.outsidetextfont.weight,e.pts)||g.castOption(t.textfont.weight,e.pts)||r.weight,style:g.castOption(t.outsidetextfont.style,e.pts)||g.castOption(t.textfont.style,e.pts)||r.style,variant:g.castOption(t.outsidetextfont.variant,e.pts)||g.castOption(t.textfont.variant,e.pts)||r.variant}}(y,i,a.font):b(y,i,a.font));r.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var d,m=s.bBox(r.node());if(\"outside\"===E)d=L(m,i);else if(d=w(m,i,v),\"auto\"===E&&d.scale<1){var x=l.ensureUniformFontSize(t,y.outsidetextfont);r.call(s.font,x),d=L(m=s.bBox(r.node()),i)}var _=d.textPosAngle,k=void 0===_?i.pxmid:z(v.r,_);if(d.targetX=u+k[0]*d.rCenter+(d.x||0),d.targetY=c+k[1]*d.rCenter+(d.y||0),R(d,m),d.outside){var A=d.targetY;i.yLabelMin=A-m.height/2,i.yLabelMid=A,i.yLabelMax=A+m.height/2,i.labelExtraX=0,i.labelExtraY=0,T=!0}d.fontSize=h.size,p(y.type,d,a),e[o].transform=d,l.setTransormAndDisplay(r,d)}))}function P(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*v.r+\",\"+n*v.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var k=n.select(this).selectAll(\"g.titletext\").data(y.title.text?[0]:[]);if(k.enter().append(\"g\").classed(\"titletext\",!0),k.exit().remove(),k.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=y.title.text;y._meta&&(i=l.templateString(i,y._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,y.title.font).call(f.convertToTspans,t),e=\"middle center\"===y.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(v):C(v,h),r.attr(\"transform\",c(e.x,e.y)+u(Math.min(1,e.scale))+c(e.tx,e.ty))})),T&&function(t,e){var r,n,i,a,o,s,u,c,f,h,p,d,v;function y(t,e){return t.pxmid[1]-e.pxmid[1]}function m(t,e){return e.pxmid[1]-t.pxmid[1]}function x(t,r){r||(r={});var i,c,f,p,d=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),v=n?t.yLabelMin:t.yLabelMax,y=n?t.yLabelMax:t.yLabelMin,m=t.cyFinal+o(t.px0[1],t.px1[1]),x=d-v;if(x*u>0&&(t.labelExtraY=x),l.isArrayOrTypedArray(e.pull))for(c=0;c<h.length;c++)(f=h[c])===t||(g.castOption(e.pull,t.pts)||0)>=(g.castOption(e.pull,f.pts)||0)||((t.pxmid[1]-f.pxmid[1])*u>0?(x=f.cyFinal+o(f.px0[1],f.px1[1])-v-t.labelExtraY)*u>0&&(t.labelExtraY+=x):(y+t.labelExtraY-m)*u>0&&(i=3*s*Math.abs(c-h.indexOf(t)),(p=f.cxFinal+a(f.px0[0],f.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:m,o=n?Math.max:Math.min,u=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(i),f=t[1-n][r],h=f.concat(c),d=[],p=0;p<c.length;p++)void 0!==c[p].yLabelMid&&d.push(c[p]);for(v=!1,p=0;n&&p<f.length;p++)if(void 0!==f[p].yLabelMid){v=f[p];break}for(p=0;p<d.length;p++){var b=p&&d[p-1];v&&!p&&(b=v),x(d[p],b)}}}(_,y),function(t,e){t.each((function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var i=r.select(\"g.slicetext text\");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,l.setTransormAndDisplay(i,t.transform);var a=t.cxFinal+t.pxmid[0],s=\"M\"+a+\",\"+(t.cyFinal+t.pxmid[1]),u=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var c=t.labelExtraX*t.pxmid[1]/t.pxmid[0],f=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(c)>Math.abs(f)?s+=\"l\"+f*t.pxmid[0]/t.pxmid[1]+\",\"+f+\"H\"+(a+t.labelExtraX+u):s+=\"l\"+t.labelExtraX+\",\"+c+\"v\"+(f-c)+\"h\"+u}else s+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+u;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()}))}(m,y),T&&y.automargin){var A=s.bBox(d.node()),M=y.domain,S=h.w*(M.x[1]-M.x[0]),E=h.h*(M.y[1]-M.y[0]),P=(.5*S-v.r)/h.w,O=(.5*E-v.r)/h.h;i.autoMargin(t,\"pie.\"+y.uid+\".automargin\",{xl:M.x[0]-P,xr:M.x[1]+P,yb:M.y[0]-O,yt:M.y[1]+O,l:Math.max(v.cx-v.r-A.left,0),r:Math.max(A.right-(v.cx+v.r),0),b:Math.max(A.bottom-(v.cy+v.r),0),t:Math.max(v.cy-v.r-A.top,0),pad:5})}}))}));setTimeout((function(){v.selectAll(\"tspan\").each((function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))}))}),0)},formatSliceLabel:D,transformInsideText:w,determineInsideTextFont:b,positionTitleOutside:C,prerenderTitles:_,layoutAreas:I,attachFxHandlers:x,computeTransform:R}},22152:function(t,e,r){\"use strict\";var n=r(33428),i=r(10528),a=r(82744).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)}))}))}},10528:function(t,e,r){\"use strict\";var n=r(76308),i=r(69656).castOption,a=r(21552);t.exports=function(t,e,r,o){var s=r.marker.line,l=i(s.color,e.pts)||n.defaultLine,u=i(s.width,e.pts)||0;t.call(a,e,r,o).style(\"stroke-width\",u).call(n.stroke,l)}},35484:function(t,e,r){\"use strict\";var n=r(52904);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}},11072:function(t,e,r){\"use strict\";var n=r(67792).gl_pointcloud2d,i=r(3400).isArrayOrTypedArray,a=r(43080),o=r(19280).findExtremes,s=r(44928);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 u=l.prototype;u.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:i(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},u.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,{})},u.updateFast=function(t){var e,r,n,i,s,l,u=this.xData=this.pickXData=t.x,c=this.yData=this.pickYData=t.y,f=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(f){if(n=f,e=f.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;l<e;l++)i=n[2*l],s=n[2*l+1],i<d[0]&&(d[0]=i),i>d[2]&&(d[2]=i),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;l<e;l++)r[l]=l}else for(e=u.length,n=new Float32Array(2*e),r=new 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a=r.node;a.originalEvent=n.event,t._hoverdata=[a],n.select(e).call(m,r,i),s.click(t,{target:!0})}}})}},83248:function(t,e,r){\"use strict\";var n=r(49812),i=r(67756).Gz,a=r(33428),o=r(26800),s=r(48932),l=r(11820),u=r(49760),c=r(76308),f=r(43616),h=r(3400),p=h.strTranslate,d=h.strRotate,v=r(71688),g=v.keyFun,y=v.repeat,m=v.unwrap,x=r(72736),b=r(24040),_=r(84284),w=_.CAP_SHIFT,T=_.LINE_SPACING;function k(t,e,r){var n,i=m(e),a=i.trace,c=a.domain,f=\"h\"===a.orientation,p=a.node.pad,d=a.node.thickness,v={justify:o.sankeyJustify,left:o.sankeyLeft,right:o.sankeyRight,center:o.sankeyCenter}[a.node.align],g=t.width*(c.x[1]-c.x[0]),y=t.height*(c.y[1]-c.y[0]),x=i._nodes,b=i._links,_=i.circular;(n=_?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[g,y]:[y,g]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodeAlign(v).nodes(x).links(b);var w,T,k,A=n();for(var M in n.nodePadding()<p&&h.warn(\"node.pad was reduced to 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l=0;for(T=0;T<r.sourceLinks.length;T++)l+=r.sourceLinks[T].value;for(T=0;T<r.sourceLinks.length;T++)(e=r.sourceLinks[T]).concentrationOut=e.value/l;var c=0;for(T=0;T<r.targetLinks.length;T++)c+=r.targetLinks[T].value;for(T=0;T<r.targetLinks.length;T++)(e=r.targetLinks[T]).concenrationIn=e.value/c}}(),a.node.x.length&&a.node.y.length){for(w=0;w<Math.min(a.node.x.length,a.node.y.length,A.nodes.length);w++)if(a.node.x[w]&&a.node.y[w]){var C=[a.node.x[w]*g,a.node.y[w]*y];A.nodes[w].x0=C[0]-d/2,A.nodes[w].x1=C[0]+d/2;var P=A.nodes[w].y1-A.nodes[w].y0;A.nodes[w].y0=C[1]-P/2,A.nodes[w].y1=C[1]+P/2}\"snap\"===a.arrangement&&function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(w=0;w<n.length;w++){var s=t[n[w].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return i}(x=A.nodes).forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return 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e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:a,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:c.tinyRGB(n),tinyColorAlpha:n.getAlpha(),tinyColorHoverHue:c.tinyRGB(i),tinyColorHoverAlpha:i.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,linkArrowLength:t.linkArrowLength,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){var e=t.linkArrowLength;if(t.link.circular)return function(t,e){var r=t.width/2,n=t.circularPathData;return\"top\"===t.circularLinkType?\"M \"+(n.targetX-e)+\" \"+(n.targetY+r)+\" L\"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r-e)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r-e)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 1 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 0 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 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\"+(n.sourceY+n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 1 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r-e)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r-e)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"L\"+(n.targetX-e)+\" \"+(n.targetY+r)+(e>0?\"L\"+n.targetX+\" \"+n.targetY:\"\")+\"Z\"}(t.link,e);var r=Math.abs((t.link.target.x0-t.link.source.x1)/2);e>r&&(e=r);var n=t.link.source.x1,a=t.link.target.x0-e,o=i(n,a),s=o(.5),l=o(.5),u=t.link.y0-t.link.width/2,c=t.link.y0+t.link.width/2,f=t.link.y1-t.link.width/2,h=t.link.y1+t.link.width/2,p=\"M\"+n+\",\"+u,d=\"C\"+s+\",\"+u+\" \"+l+\",\"+f+\" \"+a+\",\"+f,v=\"C\"+l+\",\"+h+\" \"+s+\",\"+c+\" \"+n+\",\"+c,g=e>0?\"L\"+(a+e)+\",\"+(f+t.link.width/2):\"\";return p+d+(g+=\"L\"+a+\",\"+h)+v+\"Z\"}}function S(t,e){var r=u(e.color),n=l.nodePadAcross,i=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var a=e.dx,o=Math.max(.5,e.dy),s=\"node_\"+e.pointNumber;return e.group&&(s=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:s,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:c.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,s].join(\"_\"),interactionState:t.interactionState,figure:t}}function E(t){t.attr(\"transform\",(function(t){return p(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function L(t){t.call(E)}function C(t,e){t.call(L),e.attr(\"d\",M())}function P(t){t.attr(\"width\",(function(t){return t.node.x1-t.node.x0})).attr(\"height\",(function(t){return t.visibleHeight}))}function O(t){return t.link.width>1||t.linkLineWidth>0}function I(t){return p(t.translateX,t.translateY)+(t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\")}function z(t,e,r){t.on(\".basic\",null).on(\"mouseover.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.hover(this,t,e),t.interactionState.hovered=[this,t])})).on(\"mousemove.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.follow(this,t),t.interactionState.hovered=[this,t])})).on(\"mouseout.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.unhover(this,t,e),t.interactionState.hovered=!1)})).on(\"click.basic\",(function(t){t.interactionState.hovered&&(r.unhover(this,t,e),t.interactionState.hovered=!1),t.interactionState.dragInProgress||t.partOfGroup||r.select(this,t,e)}))}function D(t,e,r,i){var o=a.behavior.drag().origin((function(t){return{x:t.node.x0+t.visibleWidth/2,y:t.node.y0+t.visibleHeight/2}})).on(\"dragstart\",(function(a){if(\"fixed\"!==a.arrangement&&(h.ensureSingle(i._fullLayout._infolayer,\"g\",\"dragcover\",(function(t){i._fullLayout._dragCover=t})),h.raiseToTop(this),a.interactionState.dragInProgress=a.node,F(a.node),a.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,a.interactionState.hovered),a.interactionState.hovered=!1),\"snap\"===a.arrangement)){var o=a.traceId+\"|\"+a.key;a.forceLayouts[o]?a.forceLayouts[o].alpha(1):function(t,e,r,i){!function(t){for(var e=0;e<t.length;e++)t[e].y=(t[e].y0+t[e].y1)/2,t[e].x=(t[e].x0+t[e].x1)/2}(r.graph.nodes);var a=r.graph.nodes.filter((function(t){return t.originalX===r.node.originalX})).filter((function(t){return!t.partOfGroup}));r.forceLayouts[e]=n.forceSimulation(a).alphaDecay(0).force(\"collide\",n.forceCollide().radius((function(t){return t.dy/2+r.nodePad/2})).strength(1).iterations(l.forceIterations)).force(\"constrain\",function(t,e,r,n){return function(){for(var t=0,i=0;i<r.length;i++){var a=r[i];a===n.interactionState.dragInProgress?(a.x=a.lastDraggedX,a.y=a.lastDraggedY):(a.vx=(a.originalX-a.x)/l.forceTicksPerFrame,a.y=Math.min(n.size-a.dy/2,Math.max(a.dy/2,a.y))),t=Math.max(t,Math.abs(a.vx),Math.abs(a.vy))}!n.interactionState.dragInProgress&&t<.1&&n.forceLayouts[e].alpha()>0&&n.forceLayouts[e].alpha(0)}}(0,e,a,r)).stop()}(0,o,a),function(t,e,r,n,i){window.requestAnimationFrame((function a(){var o;for(o=0;o<l.forceTicksPerFrame;o++)r.forceLayouts[n].tick();if(function(t){for(var e=0;e<t.length;e++)t[e].y0=t[e].y-t[e].dy/2,t[e].y1=t[e].y0+t[e].dy,t[e].x0=t[e].x-t[e].dx/2,t[e].x1=t[e].x0+t[e].dx}(r.graph.nodes),r.sankey.update(r.graph),C(t.filter(B(r)),e),r.forceLayouts[n].alpha()>0)window.requestAnimationFrame(a);else{var 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a=(t.graph.nodes[i].x0+t.graph.nodes[i].x1)/2,o=(t.graph.nodes[i].y0+t.graph.nodes[i].y1)/2;r.push(a/t.figure.width),n.push(o/t.figure.height)}b.call(\"_guiRestyle\",e,{\"node.x\":[r],\"node.y\":[n]},t.trace.index).then((function(){e._fullLayout._dragCover&&e._fullLayout._dragCover.remove()}))}function F(t){t.lastDraggedX=t.x0+t.dx/2,t.lastDraggedY=t.y0+t.dy/2}function B(t){return function(e){return e.node.originalX===t.node.originalX}}t.exports=function(t,e,r,n,i){var o=t._context.staticPlot,s=!1;h.ensureSingle(t._fullLayout._infolayer,\"g\",\"first-render\",(function(){s=!0}));var v=t._fullLayout._dragCover,b=r.filter((function(t){return m(t).trace.visible})).map(k.bind(null,n)),_=e.selectAll(\".\"+l.cn.sankey).data(b,g);_.exit().remove(),_.enter().append(\"g\").classed(l.cn.sankey,!0).style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"shape-rendering\",\"geometricPrecision\").style(\"pointer-events\",o?\"none\":\"auto\").attr(\"transform\",I),_.each((function(e,r){t._fullData[r]._sankey=e;var n=\"bgsankey-\"+e.trace.uid+\"-\"+r;h.ensureSingle(t._fullLayout._draggers,\"rect\",n),t._fullData[r]._bgRect=a.select(\".\"+n),t._fullData[r]._bgRect.style(\"pointer-events\",o?\"none\":\"all\").attr(\"width\",e.width).attr(\"height\",e.height).attr(\"x\",e.translateX).attr(\"y\",e.translateY).classed(\"bgsankey\",!0).style({fill:\"transparent\",\"stroke-width\":0})})),_.transition().ease(l.ease).duration(l.duration).attr(\"transform\",I);var L=_.selectAll(\".\"+l.cn.sankeyLinks).data(y,g);L.enter().append(\"g\").classed(l.cn.sankeyLinks,!0).style(\"fill\",\"none\");var 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n=r(21776).Ks,i=r(21776).Gw,a=r(98304),o=r(52904),s=r(45464),l=r(49084),u=r(98192).u,c=r(92880).extendFlat,f=r(67824).overrideAll,h=o.marker,p=o.line,d=h.line;t.exports=f({lon:{valType:\"data_array\"},lat:{valType:\"data_array\"},locations:{valType:\"data_array\"},locationmode:{valType:\"enumerated\",values:[\"ISO-3\",\"USA-states\",\"country 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n,i,a=r.length,o=a/2;if(h.hasLines(e)&&o)if(\"hv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i+2],r[2*i+1]));n.push(r[a-2],r[a-1])}else if(\"hvh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var s=(r[2*i]+r[2*i+2])/2;n.push(r[2*i],r[2*i+1],s,r[2*i+1],s,r[2*i+3])}n.push(r[a-2],r[a-1])}else if(\"vhv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var l=(r[2*i+1]+r[2*i+3])/2;n.push(r[2*i],r[2*i+1],r[2*i],l,r[2*i+2],l)}n.push(r[a-2],r[a-1])}else if(\"vh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+3]));n.push(r[a-2],r[a-1])}else n=r;var u=!1;for(i=0;i<n.length;i++)if(isNaN(n[i])){u=!0;break}var c=u||n.length>v.TOO_MANY_POINTS||h.hasMarkers(e)?\"rect\":\"round\";if(u&&e.connectgaps){var f=n[0],p=n[1];for(i=0;i<n.length;i+=2)isNaN(n[i])||isNaN(n[i+1])?(n[i]=f,n[i+1]=p):(f=n[i],p=n[i+1])}return{join:c,positions:n}},errorBarPositions:function(t,e,r,i,a){var s=o.getComponentMethod(\"errorbars\",\"makeComputeError\"),l=c.getFromId(t,e.xaxis,\"x\"),u=c.getFromId(t,e.yaxis,\"y\"),f=r.length/2,h={};function p(t,i){var a=i._id.charAt(0),o=e[\"error_\"+a];if(o&&o.visible&&(\"linear\"===i.type||\"log\"===i.type)){for(var l=s(o),u={x:0,y:1}[a],c={x:[0,1,2,3],y:[2,3,0,1]}[a],p=new Float64Array(4*f),d=1/0,v=-1/0,g=0,y=0;g<f;g++,y+=4){var m=t[g];if(n(m)){var x=r[2*g+u],b=l(m,g),_=b[0],w=b[1];if(n(_)&&n(w)){var T=m-_,k=m+w;p[y+c[0]]=x-i.c2l(T),p[y+c[1]]=i.c2l(k)-x,p[y+c[2]]=0,p[y+c[3]]=0,d=Math.min(d,m-_),v=Math.max(v,m+w)}}}h[a]={positions:r,errors:p,_bnds:[d,v]}}}return p(i,l),p(a,u),h},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(h.hasMarkers(e)){var s=r.font,u=r.align,c=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var f=n.sizes?n.sizes[i]:n.size,p=l(s)?s[i].size:s.size,d=l(u)?u.length>1?u[i]:u[0]:u,v=l(c)?c.length>1?c[i]:c[0]:c,g=y[d],m=y[v],x=f?f/.8+1:0,b=-m*x-.5*m;o.offset[i]=[g*x/p,b/p]}}return o}}},80220:function(t,e,r){\"use strict\";var n=r(3400),i=r(24040),a=r(80088),o=r(2876),s=r(88200),l=r(43028),u=r(43980),c=r(31147),f=r(74428),h=r(66828),p=r(70840),d=r(124);t.exports=function(t,e,r,v){function g(r,i){return n.coerce(t,e,o,r,i)}var y=!!t.marker&&a.isOpenSymbol(t.marker.symbol),m=l.isBubble(t),x=u(t,e,v,g);if(x){c(t,e,v,g),g(\"xhoverformat\"),g(\"yhoverformat\");var b=x<s.PTS_LINESONLY?\"lines+markers\":\"lines\";g(\"text\"),g(\"hovertext\"),g(\"hovertemplate\"),g(\"mode\",b),l.hasMarkers(e)&&(f(t,e,r,v,g,{noAngleRef:!0,noStandOff:!0}),g(\"marker.line.width\",y||m?1:0)),l.hasLines(e)&&(g(\"connectgaps\"),h(t,e,r,v,g),g(\"line.shape\")),l.hasText(e)&&(g(\"texttemplate\"),d(t,e,v,g));var _=(e.line||{}).color,w=(e.marker||{}).color;g(\"fill\"),\"none\"!==e.fill&&p(t,e,r,g);var T=i.getComponentMethod(\"errorbars\",\"supplyDefaults\");T(t,e,_||w||r,{axis:\"y\"}),T(t,e,_||w||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},26768:function(t,e,r){\"use strict\";var n=r(3400),i=r(76308),a=r(13448).DESELECTDIM;t.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,u=l._scene,c=l.index,f=u.selectBatch[c],h=u.unselectBatch[c],p=u.textOptions[c],d=u.textSelectedOptions[c]||{},v=u.textUnselectedOptions[c]||{},g=n.extendFlat({},p);if(f.length||h.length){var y=d.color,m=v.color,x=p.color,b=n.isArrayOrTypedArray(x);for(g.color=new Array(s._length),e=0;e<f.length;e++)r=f[e],g.color[r]=y||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;g.color[r]=m||(y?_:i.addOpacity(_,a))}}u.glText[c].update(g)}}},99396:function(t,e,r){\"use strict\";var n=r(76688);t.exports=function(t,e,r){var i=t.i;return\"x\"in t||(t.x=e._x[i]),\"y\"in t||(t.y=e._y[i]),n(t,e,r)}},80088:function(t,e,r){\"use strict\";var n=r(67072);e.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},e.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},41272:function(t,e,r){\"use strict\";var n=r(24040),i=r(3400),a=r(44928);function o(t,e,r,o){var s=t.xa,l=t.ya,u=t.distance,c=t.dxy,f=t.index,h={pointNumber:f,x:e[f],y:r[f]};h.tx=i.isArrayOrTypedArray(o.text)?o.text[f]:o.text,h.htx=Array.isArray(o.hovertext)?o.hovertext[f]:o.hovertext,h.data=Array.isArray(o.customdata)?o.customdata[f]:o.customdata,h.tp=Array.isArray(o.textposition)?o.textposition[f]:o.textposition;var p=o.textfont;p&&(h.ts=i.isArrayOrTypedArray(p.size)?p.size[f]:p.size,h.tc=i.isArrayOrTypedArray(p.color)?p.color[f]:p.color,h.tf=Array.isArray(p.family)?p.family[f]:p.family,h.tw=Array.isArray(p.weight)?p.weight[f]:p.weight,h.ty=Array.isArray(p.style)?p.style[f]:p.style,h.tv=Array.isArray(p.variant)?p.variant[f]:p.variant);var d=o.marker;d&&(h.ms=i.isArrayOrTypedArray(d.size)?d.size[f]:d.size,h.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[f]:d.opacity,h.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[f]:d.symbol,h.ma=i.isArrayOrTypedArray(d.angle)?d.angle[f]:d.angle,h.mc=i.isArrayOrTypedArray(d.color)?d.color[f]:d.color);var v=d&&d.line;v&&(h.mlc=Array.isArray(v.color)?v.color[f]:v.color,h.mlw=i.isArrayOrTypedArray(v.width)?v.width[f]:v.width);var g=d&&d.gradient;g&&\"none\"!==g.type&&(h.mgt=Array.isArray(g.type)?g.type[f]:g.type,h.mgc=Array.isArray(g.color)?g.color[f]:g.color);var y=s.c2p(h.x,!0),m=l.c2p(h.y,!0),x=h.mrc||1,b=o.hoverlabel;b&&(h.hbg=Array.isArray(b.bgcolor)?b.bgcolor[f]:b.bgcolor,h.hbc=Array.isArray(b.bordercolor)?b.bordercolor[f]:b.bordercolor,h.hts=i.isArrayOrTypedArray(b.font.size)?b.font.size[f]:b.font.size,h.htc=Array.isArray(b.font.color)?b.font.color[f]:b.font.color,h.htf=Array.isArray(b.font.family)?b.font.family[f]:b.font.family,h.hnl=i.isArrayOrTypedArray(b.namelength)?b.namelength[f]:b.namelength);var _=o.hoverinfo;_&&(h.hi=Array.isArray(_)?_[f]:_);var w=o.hovertemplate;w&&(h.ht=Array.isArray(w)?w[f]:w);var T={};T[t.index]=h;var k=o._origX,A=o._origY,M=i.extendFlat({},t,{color:a(o,h),x0:y-x,x1:y+x,xLabelVal:k?k[f]:h.x,y0:m-x,y1:m+x,yLabelVal:A?A[f]:h.y,cd:T,distance:u,spikeDistance:c,hovertemplate:h.ht});return h.htx?M.text=h.htx:h.tx?M.text=h.tx:o.text&&(M.text=o.text),i.fillText(h,o,M),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(h,o,M),M}t.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,u,c,f,h,p,d,v=t.cd,g=v[0].t,y=v[0].trace,m=t.xa,x=t.ya,b=g.x,_=g.y,w=m.c2p(e),T=x.c2p(r),k=t.distance;if(g.tree){var A=m.p2c(w-k),M=m.p2c(w+k),S=x.p2c(T-k),E=x.p2c(T+k);i=\"x\"===n?g.tree.range(Math.min(A,M),Math.min(x._rl[0],x._rl[1]),Math.max(A,M),Math.max(x._rl[0],x._rl[1])):g.tree.range(Math.min(A,M),Math.min(S,E),Math.max(A,M),Math.max(S,E))}else i=g.ids;var L=k;if(\"x\"===n){var C=!!y.xperiodalignment,P=!!y.yperiodalignment;for(c=0;c<i.length;c++){if(l=b[a=i[c]],f=Math.abs(m.c2p(l)-w),C){var O=m.c2p(y._xStarts[a]),I=m.c2p(y._xEnds[a]);f=w>=Math.min(O,I)&&w<=Math.max(O,I)?0:1/0}if(f<L){if(L=f,u=_[a],h=x.c2p(u)-T,P){var z=x.c2p(y._yStarts[a]),D=x.c2p(y._yEnds[a]);h=T>=Math.min(z,D)&&T<=Math.max(z,D)?0:1/0}d=Math.sqrt(f*f+h*h),s=i[c]}}}else for(c=i.length-1;c>-1;c--)l=b[a=i[c]],u=_[a],f=m.c2p(l)-w,h=x.c2p(u)-T,(p=Math.sqrt(f*f+h*h))<L&&(L=d=p,s=a);return t.index=s,t.distance=L,t.dxy=d,void 0===s?[t]:[o(t,b,_,y)]},calcHover:o}},38983:function(t,e,r){\"use strict\";var n=r(64628);n.plot=r(89876),t.exports=n},89876:function(t,e,r){\"use strict\";var n=r(38540),i=r(13472),a=r(24544),o=r(23352),s=r(3400),l=r(72760).selectMode,u=r(5048),c=r(43028),f=r(14328),h=r(26768).styleTextSelection,p={};function d(t,e,r,n){var i=t._size,a=t.width*n,o=t.height*n,s=i.l*n,l=i.b*n,u=i.r*n,c=i.t*n,f=i.w*n,h=i.h*n;return[s+e.domain[0]*f,l+r.domain[0]*h,a-u-(1-e.domain[1])*f,o-c-(1-r.domain[1])*h]}(t.exports=function(t,e,r){if(r.length){var v,g,y=t._fullLayout,m=e._scene,x=e.xaxis,b=e.yaxis;if(m)if(u(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"],p)){var _=m.count,w=y._glcanvas.data()[0].regl;if(f(t,e,r),m.dirty){if(!m.line2d&&!m.error2d||m.scatter2d||m.fill2d||m.glText||w.clear({}),!0===m.error2d&&(m.error2d=a(w)),!0===m.line2d&&(m.line2d=i(w)),!0===m.scatter2d&&(m.scatter2d=n(w)),!0===m.fill2d&&(m.fill2d=i(w)),!0===m.glText)for(m.glText=new Array(_),v=0;v<_;v++)m.glText[v]=new o(w);if(m.glText){if(_>m.glText.length){var T=_-m.glText.length;for(v=0;v<T;v++)m.glText.push(new o(w))}else if(_<m.glText.length){var k=m.glText.length-_;m.glText.splice(_,k).forEach((function(t){t.destroy()}))}for(v=0;v<_;v++)m.glText[v].update(m.textOptions[v])}if(m.line2d&&(m.line2d.update(m.lineOptions),m.lineOptions=m.lineOptions.map((function(t){if(t&&t.positions){for(var e=t.positions,r=0;r<e.length&&(isNaN(e[r])||isNaN(e[r+1]));)r+=2;for(var n=e.length-2;n>r&&(isNaN(e[n])||isNaN(e[n+1]));)n-=2;t.positions=e.slice(r,n+2)}return t})),m.line2d.update(m.lineOptions)),m.error2d){var A=(m.errorXOptions||[]).concat(m.errorYOptions||[]);m.error2d.update(A)}m.scatter2d&&m.scatter2d.update(m.markerOptions),m.fillOrder=s.repeat(null,_),m.fill2d&&(m.fillOptions=m.fillOptions.map((function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var i,a,o=n[0],s=o.trace,l=o.t,u=m.lineOptions[e],c=[];s._ownfill&&c.push(e),s._nexttrace&&c.push(e+1),c.length&&(m.fillOrder[e]=c);var f,h,p=[],d=u&&u.positions||l.positions;if(\"tozeroy\"===s.fill){for(f=0;f<d.length&&isNaN(d[f+1]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h+1]);)h-=2;0!==d[f+1]&&(p=[d[f],0]),p=p.concat(d.slice(f,h+2)),0!==d[h+1]&&(p=p.concat([d[h],0]))}else if(\"tozerox\"===s.fill){for(f=0;f<d.length&&isNaN(d[f]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h]);)h-=2;0!==d[f]&&(p=[0,d[f+1]]),p=p.concat(d.slice(f,h+2)),0!==d[h]&&(p=p.concat([0,d[h+1]]))}else if(\"toself\"===s.fill||\"tonext\"===s.fill){for(p=[],i=0,t.splitNull=!0,a=0;a<d.length;a+=2)(isNaN(d[a])||isNaN(d[a+1]))&&((p=p.concat(d.slice(i,a))).push(d[i],d[i+1]),p.push(null,null),i=a+2);p=p.concat(d.slice(i)),i&&p.push(d[i],d[i+1])}else{var v=s._nexttrace;if(v){var g=m.lineOptions[e+1];if(g){var y=g.positions;if(\"tonexty\"===s.fill){for(p=d.slice(),e=Math.floor(y.length/2);e--;){var x=y[2*e],b=y[2*e+1];isNaN(x)||isNaN(b)||p.push(x,b)}t.fill=v.fillcolor}}}}if(s._prevtrace&&\"tonext\"===s._prevtrace.fill){var _=m.lineOptions[e-1].positions,w=p.length/2,T=[i=w];for(a=0;a<_.length;a+=2)(isNaN(_[a])||isNaN(_[a+1]))&&(T.push(a/2+w+1),i=a+2);p=p.concat(_),t.hole=T}return t.fillmode=s.fill,t.opacity=s.opacity,t.positions=p,t}})),m.fill2d.update(m.fillOptions))}var M=y.dragmode,S=l(M),E=y.clickmode.indexOf(\"select\")>-1;for(v=0;v<_;v++){var L=r[v][0],C=L.trace,P=L.t,O=P.index,I=C._length,z=P.x,D=P.y;if(C.selectedpoints||S||E){if(S||(S=!0),C.selectedpoints){var R=m.selectBatch[O]=s.selIndices2selPoints(C),F={};for(g=0;g<R.length;g++)F[R[g]]=1;var B=[];for(g=0;g<I;g++)F[g]||B.push(g);m.unselectBatch[O]=B}var N=P.xpx=new Array(I),j=P.ypx=new Array(I);for(g=0;g<I;g++)N[g]=x.c2p(z[g]),j[g]=b.c2p(D[g])}else P.xpx=P.ypx=null}if(S){if(m.select2d||(m.select2d=n(y._glcanvas.data()[1].regl)),m.scatter2d){var U=new Array(_);for(v=0;v<_;v++)U[v]=m.selectBatch[v].length||m.unselectBatch[v].length?m.markerUnselectedOptions[v]:{};m.scatter2d.update(U)}m.select2d&&(m.select2d.update(m.markerOptions),m.select2d.update(m.markerSelectedOptions)),m.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};c.hasText(e)&&h(t)}))}else m.scatter2d&&m.scatter2d.update(m.markerOptions);var V={viewport:d(y,x,b,t._context.plotGlPixelRatio),range:[(x._rl||x.range)[0],(b._rl||b.range)[0],(x._rl||x.range)[1],(b._rl||b.range)[1]]},q=s.repeat(V,m.count);m.fill2d&&m.fill2d.update(q),m.line2d&&m.line2d.update(q),m.error2d&&m.error2d.update(q.concat(q)),m.scatter2d&&m.scatter2d.update(q),m.select2d&&m.select2d.update(q),m.glText&&m.glText.forEach((function(t){t.update(V)}))}else m.init()}}).reglPrecompiled=p},74588:function(t,e,r){\"use strict\";var n=r(3400);t.exports=function(t,e){var r=e._scene,i={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,a,i)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var i=0;i<r.count;i++)r.glText[i].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,i=r.error2d,a=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,u=r.selectBatch,c=r.unselectBatch,f=0;f<t;f++){if(e&&r.fillOrder[f]&&e.draw(r.fillOrder[f]),a&&r.lineOptions[f]&&a.draw(f),i&&(r.errorXOptions[f]&&i.draw(f),r.errorYOptions[f]&&i.draw(f+t)),o&&r.markerOptions[f])if(c[f].length){var h=n.repeat([],r.count);h[f]=c[f],o.draw(h)}else 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n=r(49084),i=r(29736).axisHoverFormat,a=r(21776).Ks,o=r(52948),s=r(45464),l=r(92880).extendFlat,u={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},u:{valType:\"data_array\",editType:\"calc\"},v:{valType:\"data_array\",editType:\"calc\"},w:{valType:\"data_array\",editType:\"calc\"},starts:{x:{valType:\"data_array\",editType:\"calc\"},y:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"},maxdisplayed:{valType:\"integer\",min:0,dflt:1e3,editType:\"calc\"},sizeref:{valType:\"number\",editType:\"calc\",min:0,dflt:1},text:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertemplate:a({editType:\"calc\"},{keys:[\"tubex\",\"tubey\",\"tubez\",\"tubeu\",\"tubev\",\"tubew\",\"norm\",\"divergence\"]}),uhoverformat:i(\"u\",1),vhoverformat:i(\"v\",1),whoverformat:i(\"w\",1),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),showlegend:l({},s.showlegend,{dflt:!1})};l(u,n(\"\",{colorAttr:\"u/v/w 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L=function(){m=0,M=[],S=[],E=[]};(!m||m<M.length*S.length*E.length)&&L();var C=function(t){return\"x\"===t?v:\"y\"===t?g:y},P=function(t){return\"x\"===t?M:\"y\"===t?S:E},O=function(t){return t[m-1]<t[0]?-1:1},I=C(A[1]),z=C(A[3]),D=C(A[5]),R=P(A[1]).length,F=P(A[3]).length,B=P(A[5]).length,N=!1,j=function(t,e,r){return R*(F*t+e)+r},U=O(C(A[1])),V=O(C(A[3])),q=O(C(A[5]));for(e=0;e<B-1;e++){for(r=0;r<F-1;r++){for(i=0;i<R-1;i++){var H=j(e,r,i),G=j(e,r,i+1),W=j(e,r+1,i),Y=j(e+1,r,i);if(I[H]*U<I[G]*U&&z[H]*V<z[W]*V&&D[H]*q<D[Y]*q||(N=!0),N)break}if(N)break}if(N)break}return N&&(n.warn(\"Encountered arbitrary coordinates! 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y=n[c];r.xMax=Math.max(r.xMax,y),r.xMin=Math.min(r.xMin,y);var m=o[c];r.yMax=Math.max(r.yMax,m),r.yMin=Math.min(r.yMin,m);var x=l[c];r.zMax=Math.max(r.zMax,x),r.zMin=Math.min(r.zMin,x)}e._slen=u,e._normMax=f,e._xbnds=[r.xMin,r.xMax],e._ybnds=[r.yMin,r.yMax],e._zbnds=[r.zMin,r.zMax]},filter:s,processGrid:a}},25668:function(t,e,r){\"use strict\";var n=r(67792).gl_streamtube3d,i=n.createTubeMesh,a=r(3400),o=r(33040).parseColorScale,s=r(8932).extractOpts,l=r(52094),u={xaxis:0,yaxis:1,zaxis:2};function c(t,e){this.scene=t,this.uid=e,this.mesh=null,this.data=null}var f=c.prototype;function h(t){var e=t.length;return e>2?t.slice(1,e-1):2===e?[(t[0]+t[1])/2]:t}function p(t){var e=t.length;return 1===e?[.5,.5]:[t[1]-t[0],t[e-1]-t[e-2]]}function d(t,e){var r=t.fullSceneLayout,i=t.dataScale,c=e._len,f={};function d(t,e){var n=r[e],o=i[u[e]];return a.simpleMap(t,(function(t){return 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n=r(45464),i=r(21776).Ks,a=r(21776).Gw,o=r(49084),s=r(86968).u,l=r(74996),u=r(27328),c=r(92880).extendFlat,f=r(98192).c;t.exports={labels:{valType:\"data_array\",editType:\"calc\"},parents:{valType:\"data_array\",editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},branchvalues:{valType:\"enumerated\",values:[\"remainder\",\"total\"],dflt:\"remainder\",editType:\"calc\"},count:{valType:\"flaglist\",flags:[\"branches\",\"leaves\"],dflt:\"leaves\",editType:\"calc\"},level:{valType:\"any\",editType:\"plot\",anim:!0},maxdepth:{valType:\"integer\",editType:\"plot\",dflt:-1},marker:c({colors:{valType:\"data_array\",editType:\"calc\"},line:{color:c({},l.marker.line.color,{dflt:null}),width:c({},l.marker.line.width,{dflt:1}),editType:\"calc\"},pattern:f,editType:\"calc\"},o(\"marker\",{colorAttr:\"colors\",anim:!1})),leaf:{opacity:{valType:\"number\",editType:\"style\",min:0,max:1},editType:\"plot\"},text:l.text,textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"current 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u=n.select(this),f=s.ensureSingle(u,\"path\",\"surface\",(function(t){t.style(\"pointer-events\",h?\"none\":\"all\")}));i.rpx0=H(i.y0),i.rpx1=H(i.y1),i.xmid=(i.x0+i.x1)/2,i.pxmid=G(i.rpx1,i.xmid),i.midangle=-(i.xmid-Math.PI/2),i.startangle=-(i.x0-Math.PI/2),i.stopangle=-(i.x1-Math.PI/2),i.halfangle=.5*Math.min(s.angleDelta(i.x0,i.x1)||Math.PI,Math.PI),i.ring=1-i.rpx0/i.rpx1,i.rInscribed=function(t){return 0===t.rpx0&&s.isFullCircle([t.x0,t.x1])?1:Math.max(0,Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2))}(i),_?f.transition().attrTween(\"d\",(function(t){var e=function(t){var e,r=F[b.getPtId(t)],n={x0:t.x0,x1:t.x1,rpx0:t.rpx0,rpx1:t.rpx1};if(r)e=r;else if(R)if(t.parent)if(Z){var i=(t.x1>Z?2*Math.PI:0)+V;e={x0:i,x1:i}}else e={rpx0:I,rpx1:I},s.extendFlat(e,$(t));else e={rpx0:0,rpx1:0};else e={x0:V,x1:V};return a(e,n)}(t);return function(t){return W(e(t))}})):f.attr(\"d\",W),u.call(m,S,t,r,{eventDataKeys:x.eventDataKeys,transitionTime:x.CLICK_TRANSITION_TIME,transitionEasing:x.CLICK_TRANSITION_EASING}).call(b.setSliceCursor,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:t._transitioning}),f.call(g,i,A,t);var p=s.ensureSingle(u,\"g\",\"slicetext\"),w=s.ensureSingle(p,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),T=s.ensureUniformFontSize(t,b.determineTextFont(A,i,y.font));w.text(e.formatSliceLabel(i,S,A,r,y)).classed(\"slicetext\",!0).attr(\"text-anchor\",\"middle\").call(o.font,T).call(l.convertToTspans,t);var M=o.bBox(w.node());i.transform=v(M,i,k),i.transform.targetX=Y(i),i.transform.targetY=X(i);var E=function(t,e){var r=t.transform;return d(r,e),r.fontSize=T.size,c(A.type,r,y),s.getTextTransform(r)};_?w.transition().attrTween(\"transform\",(function(t){var e=function(t){var e,r=F[b.getPtId(t)],n=t.transform;if(r)e=r;else if(e={rpx1:t.rpx1,transform:{textPosAngle:n.textPosAngle,scale:0,rotate:n.rotate,rCenter:n.rCenter,x:n.x,y:n.y}},R)if(t.parent)if(Z){var i=t.x1>Z?2*Math.PI:0;e.x0=e.x1=i}else s.extendFlat(e,$(t));else e.x0=e.x1=V;else e.x0=e.x1=V;var o=a(e.transform.textPosAngle,t.transform.textPosAngle),l=a(e.rpx1,t.rpx1),u=a(e.x0,t.x0),f=a(e.x1,t.x1),h=a(e.transform.scale,n.scale),p=a(e.transform.rotate,n.rotate),d=0===n.rCenter?3:0===e.transform.rCenter?1/3:1,v=a(e.transform.rCenter,n.rCenter);return function(t){var e=l(t),r=u(t),i=f(t),a=function(t){return v(Math.pow(t,d))}(t),s={pxmid:G(e,(r+i)/2),rpx1:e,transform:{textPosAngle:o(t),rCenter:a,x:n.x,y:n.y}};return c(A.type,n,y),{transform:{targetX:Y(s),targetY:X(s),scale:h(t),rotate:p(t),rCenter:a}}}}(t);return function(t){return E(e(t),M)}})):w.attr(\"transform\",E(i,M))}))}function w(t){return e=t.rpx1,r=t.transform.textPosAngle,[e*Math.sin(r),-e*Math.cos(r)];var e,r}e.plot=function(t,e,r,i){var a,o,s=t._fullLayout,l=s._sunburstlayer,u=!r,c=!s.uniformtext.mode&&b.hasTransition(r);f(\"sunburst\",s),(a=l.selectAll(\"g.trace.sunburst\").data(e,(function(t){return t[0].trace.uid}))).enter().append(\"g\").classed(\"trace\",!0).classed(\"sunburst\",!0).attr(\"stroke-linejoin\",\"round\"),a.order(),c?(i&&(o=i()),n.transition().duration(r.duration).ease(r.easing).each(\"end\",(function(){o&&o()})).each(\"interrupt\",(function(){o&&o()})).each((function(){l.selectAll(\"g.trace\").each((function(e){_(t,e,this,r)}))}))):(a.each((function(e){_(t,e,this,r)})),s.uniformtext.mode&&y(t,s._sunburstlayer.selectAll(\".trace\"),\"sunburst\")),u&&a.exit().remove()},e.formatSliceLabel=function(t,e,r,n,i){var a=r.texttemplate,o=r.textinfo;if(!(a||o&&\"none\"!==o))return\"\";var l=i.separators,u=n[0],c=t.data.data,f=u.hierarchy,h=b.isHierarchyRoot(t),p=b.getParent(f,t),d=b.getValue(t);if(!a){var v,g=o.split(\"+\"),y=function(t){return-1!==g.indexOf(t)},m=[];if(y(\"label\")&&c.label&&m.push(c.label),c.hasOwnProperty(\"v\")&&y(\"value\")&&m.push(b.formatValue(c.v,l)),!h){y(\"current path\")&&m.push(b.getPath(t.data));var x=0;y(\"percent parent\")&&x++,y(\"percent entry\")&&x++,y(\"percent root\")&&x++;var _=x>1;if(x){var w,T=function(t){v=b.formatPercent(w,l),_&&(v+=\" of \"+t),m.push(v)};y(\"percent parent\")&&!h&&(w=d/b.getValue(p),T(\"parent\")),y(\"percent entry\")&&(w=d/b.getValue(e),T(\"entry\")),y(\"percent root\")&&(w=d/b.getValue(f),T(\"root\"))}}return y(\"text\")&&(v=s.castOption(r,c.i,\"text\"),s.isValidTextValue(v)&&m.push(v)),m.join(\"<br>\")}var k=s.castOption(r,c.i,\"texttemplate\");if(!k)return\"\";var A={};c.label&&(A.label=c.label),c.hasOwnProperty(\"v\")&&(A.value=c.v,A.valueLabel=b.formatValue(c.v,l)),A.currentPath=b.getPath(t.data),h||(A.percentParent=d/b.getValue(p),A.percentParentLabel=b.formatPercent(A.percentParent,l),A.parent=b.getPtLabel(p)),A.percentEntry=d/b.getValue(e),A.percentEntryLabel=b.formatPercent(A.percentEntry,l),A.entry=b.getPtLabel(e),A.percentRoot=d/b.getValue(f),A.percentRootLabel=b.formatPercent(A.percentRoot,l),A.root=b.getPtLabel(f),c.hasOwnProperty(\"color\")&&(A.color=c.color);var M=s.castOption(r,c.i,\"text\");return(s.isValidTextValue(M)||\"\"===M)&&(A.text=M),A.customdata=s.castOption(r,c.i,\"customdata\"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},85676:function(t,e,r){\"use strict\";var n=r(33428),i=r(76308),a=r(3400),o=r(82744).resizeText,s=r(60404);function l(t,e,r,n){var o=e.data.data,l=!e.children,u=o.i,c=a.castOption(r,u,\"marker.line.color\")||i.defaultLine,f=a.castOption(r,u,\"marker.line.width\")||0;t.call(s,e,r,n).style(\"stroke-width\",f).call(i.stroke,c).style(\"opacity\",l?r.leaf.opacity:null)}t.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(\".trace\");o(t,e,\"sunburst\"),e.each((function(e){var r=n.select(this),i=e[0].trace;r.style(\"opacity\",i.opacity),r.selectAll(\"path.surface\").each((function(e){n.select(this).call(l,e,i,t)}))}))},styleOne:l}},16716:function(t,e,r){\"use strict\";var n=r(76308),i=r(49084),a=r(29736).axisHoverFormat,o=r(21776).Ks,s=r(45464),l=r(92880).extendFlat,u=r(67824).overrideAll;function c(t){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:{valType:\"boolean\",dflt:!1},y:{valType:\"boolean\",dflt:!1},z:{valType:\"boolean\",dflt:!1}},color:{valType:\"color\",dflt:n.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:n.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var f=t.exports=u(l({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:o(),xhoverformat:a(\"x\"),yhoverformat:a(\"y\"),zhoverformat:a(\"z\"),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},i(\"\",{colorAttr:\"z or surfacecolor\",showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:\"calc\"}),{contours:{x:c(),y:c(),z:c()},hidesurface:{valType:\"boolean\",dflt:!1},lightposition:{x:{valType:\"number\",min:-1e5,max:1e5,dflt:10},y:{valType:\"number\",min:-1e5,max:1e5,dflt:1e4},z:{valType:\"number\",min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:\"number\",min:0,max:1,dflt:.8},diffuse:{valType:\"number\",min:0,max:1,dflt:.8},specular:{valType:\"number\",min:0,max:2,dflt:.05},roughness:{valType:\"number\",min:0,max:1,dflt:.5},fresnel:{valType:\"number\",min:0,max:5,dflt:.2}},opacity:{valType:\"number\",min:0,max:1,dflt:1},opacityscale:{valType:\"any\",editType:\"calc\"},_deprecated:{zauto:l({},i.zauto,{}),zmin:l({},i.zmin,{}),zmax:l({},i.zmax,{})},hoverinfo:l({},s.hoverinfo),showlegend:l({},s.showlegend,{dflt:!1})}),\"calc\",\"nested\");f.x.editType=f.y.editType=f.z.editType=\"calc+clearAxisTypes\",f.transforms=void 0},56576:function(t,e,r){\"use strict\";var n=r(47128);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\"})}},79164:function(t,e,r){\"use strict\";var n=r(67792).gl_surface3d,i=r(67792).ndarray,a=r(67792).ndarray_linear_interpolate.d2,o=r(70448),s=r(11240),l=r(3400).isArrayOrTypedArray,u=r(33040).parseColorScale,c=r(43080),f=r(8932).extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 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 d=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function v(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function g(t){for(var e=[],r=0;r<d.length;r++){var n=d[r];e.push(v(t,n))}return e}function y(t){for(var e=g(t),r=t,n=0;n<d.length;n++)if(e[n]>0){r=d[n];break}return r}function m(t,e){if(!(t<1||e<1)){for(var r=g(t),n=g(e),i=1,a=0;a<d.length;a++)i*=Math.pow(d[a],Math.max(r[a],n[a]));return i}}p.calcXnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getXat(e-1,0),i=this.getXat(e,0);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r},p.calcYnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getYat(0,e-1),i=this.getYat(0,e);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r};var x=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],b=x[9],_=x[13];function w(t,e,r){var n=r[8]+r[2]*e[0]+r[5]*e[1];return t[0]=(r[6]+r[0]*e[0]+r[3]*e[1])/n,t[1]=(r[7]+r[1]*e[0]+r[4]*e[1])/n,t}function T(t,e,r){return function(t,e,r,n){for(var i=[0,0],o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var u=0;u<s;u++)r(i,[l,u],n),t.set(l,u,a(e,i[0],i[1]))}(t,e,w,r),t}function k(t,e){for(var r=!1,n=0;n<t.length;n++)if(e===t[n]){r=!0;break}!1===r&&t.push(e)}p.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r<t.length;r++)e=m(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<b;)r*=2;for(;r>_;)r--,r/=y(r),++r<b&&(r=_);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,u=1+a+1,c=i(new Float32Array(l*u),[l,u]),f=[1/e,0,0,0,1/r,0,0,0,1],h=0;h<t.length;++h){this.surface.padField(c,t[h]);var p=i(new Float32Array(o*s),[o,s]);T(p,c,f),t[h]=p}},p.setContourLevels=function(){var t,e,r,n=[[],[],[]],i=[!1,!1,!1],a=!1;for(t=0;t<3;++t)if(this.showContour[t]&&(a=!0,this.contourSize[t]>0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(i[t]=!0,e=this.contourStart[t];e<this.contourEnd[t];e+=this.contourSize[t])r=e*this.scene.dataScale[t],k(n[t],r);if(a){var o=[[],[],[]];for(t=0;t<3;++t)this.showContour[t]&&(o[t]=i[t]?n[t]:this.scene.contourLevels[t]);this.surface.update({levels:o})}},p.update=function(t){var e,r,n,a,l=this.scene,h=l.fullSceneLayout,p=this.surface,d=u(t),v=l.dataScale,g=t.z[0].length,y=t._ylength,m=l.contourLevels;this.data=t;var 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A=[!0,!0,!0],M=[\"x\",\"y\",\"z\"];for(e=0;e<3;++e){var S=t.contours[M[e]];A[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,w.levels[e]=m[e],p.highlightColor[e]=w.contourColor[e]=c(S.color),S.usecolormap?p.highlightTint[e]=w.contourTint[e]=0:p.highlightTint[e]=w.contourTint[e]=1,w.contourWidth[e]=S.width,this.contourStart[e]=S.start,this.contourEnd[e]=S.end,this.contourSize[e]=S.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),S.highlight&&(w.dynamicColor[e]=c(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=A,p.enableHighlight=A,p.snapToData=!0,\"lighting\"in 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m=\"contours.\"+y[c],x=h(m+\".show\"),b=h(m+\".highlight\");if(x||b)for(f=0;f<3;++f)h(m+\".project.\"+y[f]);x&&(h(m+\".color\"),h(m+\".width\"),h(m+\".usecolormap\")),b&&(h(m+\".highlightcolor\"),h(m+\".highlightwidth\")),h(m+\".start\"),h(m+\".end\"),h(m+\".size\")}g||(l(t,\"zmin\",\"cmin\"),l(t,\"zmax\",\"cmax\"),l(t,\"zauto\",\"cauto\")),a(t,e,u,h,{prefix:\"\",cLetter:\"c\"}),s(0,e,0,h),e._length=null}},opacityscaleDefaults:s}},91304:function(t,e,r){\"use strict\";t.exports={attributes:r(16716),supplyDefaults:r(60192).supplyDefaults,colorbar:{min:\"cmin\",max:\"cmax\"},calc:r(56576),plot:r(79164),moduleType:\"trace\",name:\"surface\",basePlotModule:r(12536),categories:[\"gl3d\",\"2dMap\",\"showLegend\"],meta:{}}},60520:function(t,e,r){\"use strict\";var n=r(13916),i=r(92880).extendFlat,a=r(67824).overrideAll,o=r(25376),s=r(86968).u,l=r(29736).descriptionOnlyNumbers;(t.exports=a({domain:s({name:\"table\",trace:!0}),columnwidth:{valType:\"number\",arrayOk:!0,dflt:null},columnorder:{valType:\"data_array\"},header:{values:{valType:\"data_array\",dflt:[]},format:{valType:\"data_array\",dflt:[],description:l(\"cell value\")},prefix:{valType:\"string\",arrayOk:!0,dflt:null},suffix:{valType:\"string\",arrayOk:!0,dflt:null},height:{valType:\"number\",dflt:28},align:i({},n.align,{arrayOk:!0}),line:{width:{valType:\"number\",arrayOk:!0,dflt:1},color:{valType:\"color\",arrayOk:!0,dflt:\"grey\"}},fill:{color:{valType:\"color\",arrayOk:!0,dflt:\"white\"}},font:i({},o({arrayOk:!0}))},cells:{values:{valType:\"data_array\",dflt:[]},format:{valType:\"data_array\",dflt:[],description:l(\"cell 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\",cn:{table:\"table\",tableControlView:\"table-control-view\",scrollBackground:\"scroll-background\",yColumn:\"y-column\",columnBlock:\"column-block\",scrollAreaClip:\"scroll-area-clip\",scrollAreaClipRect:\"scroll-area-clip-rect\",columnBoundary:\"column-boundary\",columnBoundaryClippath:\"column-boundary-clippath\",columnBoundaryRect:\"column-boundary-rect\",columnCells:\"column-cells\",columnCell:\"column-cell\",cellRect:\"cell-rect\",cellText:\"cell-text\",cellTextHolder:\"cell-text-holder\",scrollbarKit:\"scrollbar-kit\",scrollbar:\"scrollbar\",scrollbarSlider:\"scrollbar-slider\",scrollbarGlyph:\"scrollbar-glyph\",scrollbarCaptureZone:\"scrollbar-capture-zone\"}}},55992:function(t,e,r){\"use strict\";var n=r(23536),i=r(92880).extendFlat,a=r(38248),o=r(38116).isTypedArray,s=r(38116).isArrayOrTypedArray;function l(t){if(s(t)){for(var e=0,r=0;r<t.length;r++)e=Math.max(e,l(t[r]));return e}return t}function u(t,e){return t+e}function c(t){var e,r=t.slice(),n=1/0,i=0;for(e=0;e<r.length;e++)o(r[e])?r[e]=Array.from(r[e]):s(r[e])||(r[e]=[r[e]]),n=Math.min(n,r[e].length),i=Math.max(i,r[e].length);if(n!==i)for(e=0;e<r.length;e++){var a=i-r[e].length;a&&(r[e]=r[e].concat(f(a)))}return r}function f(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=\"\";return e}function h(t){return t.calcdata.columns.reduce((function(e,r){return r.xIndex<t.xIndex?e+r.columnWidth:e}),0)}function p(t,e){return Object.keys(t).map((function(r){return i({},t[r],{auxiliaryBlocks:e})}))}function d(t,e){for(var r,n={},i=0,a=0,o={firstRowIndex:null,lastRowIndex:null,rows:[]},s=0,l=0,u=0;u<t.length;u++)r=t[u],o.rows.push({rowIndex:u,rowHeight:r}),((a+=r)>=e||u===t.length-1)&&(n[i]=o,o.key=l++,o.firstRowIndex=s,o.lastRowIndex=u,o={firstRowIndex:null,lastRowIndex:null,rows:[]},i+=a,s=u+1,a=0);return n}t.exports=function(t,e){var r=c(e.cells.values),o=function(t){return 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32-Math.clz32(t)}:a.prototype._countBits=function(t){var e=t,r=0;return e>=4096&&(r+=13,e>>>=13),e>=64&&(r+=7,e>>>=7),e>=8&&(r+=4,e>>>=4),e>=2&&(r+=2,e>>>=2),r+e},a.prototype._zeroBits=function(t){if(0===t)return 26;var e=t,r=0;return 0==(8191&e)&&(r+=13,e>>>=13),0==(127&e)&&(r+=7,e>>>=7),0==(15&e)&&(r+=4,e>>>=4),0==(3&e)&&(r+=2,e>>>=2),0==(1&e)&&r++,r},a.prototype.bitLength=function(){var t=this.words[this.length-1],e=this._countBits(t);return 26*(this.length-1)+e},a.prototype.zeroBits=function(){if(this.isZero())return 0;for(var t=0,e=0;e<this.length;e++){var r=this._zeroBits(this.words[e]);if(t+=r,26!==r)break}return t},a.prototype.byteLength=function(){return Math.ceil(this.bitLength()/8)},a.prototype.toTwos=function(t){return 0!==this.negative?this.abs().inotn(t).iaddn(1):this.clone()},a.prototype.fromTwos=function(t){return this.testn(t-1)?this.notn(t).iaddn(1).ineg():this.clone()},a.prototype.isNeg=function(){return 0!==this.negative},a.prototype.neg=function(){return this.clone().ineg()},a.prototype.ineg=function(){return this.isZero()||(this.negative^=1),this},a.prototype.iuor=function(t){for(;this.length<t.length;)this.words[this.length++]=0;for(var e=0;e<t.length;e++)this.words[e]=this.words[e]|t.words[e];return this.strip()},a.prototype.ior=function(t){return n(0==(this.negative|t.negative)),this.iuor(t)},a.prototype.or=function(t){return this.length>t.length?this.clone().ior(t):t.clone().ior(this)},a.prototype.uor=function(t){return this.length>t.length?this.clone().iuor(t):t.clone().iuor(this)},a.prototype.iuand=function(t){var e;e=this.length>t.length?t:this;for(var r=0;r<e.length;r++)this.words[r]=this.words[r]&t.words[r];return this.length=e.length,this.strip()},a.prototype.iand=function(t){return n(0==(this.negative|t.negative)),this.iuand(t)},a.prototype.and=function(t){return this.length>t.length?this.clone().iand(t):t.clone().iand(this)},a.prototype.uand=function(t){return this.length>t.length?this.clone().iuand(t):t.clone().iuand(this)},a.prototype.iuxor=function(t){var e,r;this.length>t.length?(e=this,r=t):(e=t,r=this);for(var n=0;n<r.length;n++)this.words[n]=e.words[n]^r.words[n];if(this!==e)for(;n<e.length;n++)this.words[n]=e.words[n];return this.length=e.length,this.strip()},a.prototype.ixor=function(t){return n(0==(this.negative|t.negative)),this.iuxor(t)},a.prototype.xor=function(t){return this.length>t.length?this.clone().ixor(t):t.clone().ixor(this)},a.prototype.uxor=function(t){return this.length>t.length?this.clone().iuxor(t):t.clone().iuxor(this)},a.prototype.inotn=function(t){n(\"number\"==typeof t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var i=0;i<e;i++)this.words[i]=67108863&~this.words[i];return r>0&&(this.words[i]=~this.words[i]&67108863>>26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n(\"number\"==typeof t&&t>=0);var r=t/26|0,i=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1<<i:this.words[r]&~(1<<i),this.strip()},a.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a<n.length;a++)e=(0|r.words[a])+(0|n.words[a])+i,this.words[a]=67108863&e,i=e>>>26;for(;0!==i&&a<r.length;a++)e=(0|r.words[a])+i,this.words[a]=67108863&e,i=e>>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;a<r.length;a++)this.words[a]=r.words[a];return this},a.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,u=0,c=0|o[0],f=8191&c,h=c>>>13,p=0|o[1],d=8191&p,v=p>>>13,g=0|o[2],y=8191&g,m=g>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],L=8191&E,C=E>>>13,P=0|o[7],O=8191&P,I=P>>>13,z=0|o[8],D=8191&z,R=z>>>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,W=0|s[2],Y=8191&W,X=W>>>13,Z=0|s[3],K=8191&Z,J=Z>>>13,$=0|s[4],Q=8191&$,tt=$>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ut=st>>>13,ct=0|s[8],ft=8191&ct,ht=ct>>>13,pt=0|s[9],dt=8191&pt,vt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(u+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;u=((a=Math.imul(h,V))+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(v,U)|0,a=Math.imul(v,V);var yt=(u+(n=n+Math.imul(f,H)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,H)|0))<<13)|0;u=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(y,U),i=(i=Math.imul(y,V))+Math.imul(m,U)|0,a=Math.imul(m,V),n=n+Math.imul(d,H)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(v,H)|0,a=a+Math.imul(v,G)|0;var mt=(u+(n=n+Math.imul(f,Y)|0)|0)+((8191&(i=(i=i+Math.imul(f,X)|0)+Math.imul(h,Y)|0))<<13)|0;u=((a=a+Math.imul(h,X)|0)+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(y,H)|0,i=(i=i+Math.imul(y,G)|0)+Math.imul(m,H)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(d,Y)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(v,Y)|0,a=a+Math.imul(v,X)|0;var xt=(u+(n=n+Math.imul(f,K)|0)|0)+((8191&(i=(i=i+Math.imul(f,J)|0)+Math.imul(h,K)|0))<<13)|0;u=((a=a+Math.imul(h,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(b,H)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,H)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(y,Y)|0,i=(i=i+Math.imul(y,X)|0)+Math.imul(m,Y)|0,a=a+Math.imul(m,X)|0,n=n+Math.imul(d,K)|0,i=(i=i+Math.imul(d,J)|0)+Math.imul(v,K)|0,a=a+Math.imul(v,J)|0;var bt=(u+(n=n+Math.imul(f,Q)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,Q)|0))<<13)|0;u=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,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(b,Y)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,Y)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(y,K)|0,i=(i=i+Math.imul(y,J)|0)+Math.imul(m,K)|0,a=a+Math.imul(m,J)|0,n=n+Math.imul(d,Q)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(v,Q)|0,a=a+Math.imul(v,tt)|0;var _t=(u+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;u=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,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,Y)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,Y)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,K)|0,i=(i=i+Math.imul(b,J)|0)+Math.imul(_,K)|0,a=a+Math.imul(_,J)|0,n=n+Math.imul(y,Q)|0,i=(i=i+Math.imul(y,tt)|0)+Math.imul(m,Q)|0,a=a+Math.imul(m,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(v,rt)|0,a=a+Math.imul(v,nt)|0;var wt=(u+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;u=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(O,U),i=(i=Math.imul(O,V))+Math.imul(I,U)|0,a=Math.imul(I,V),n=n+Math.imul(L,H)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,H)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,Y)|0,i=(i=i+Math.imul(M,X)|0)+Math.imul(S,Y)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,K)|0,i=(i=i+Math.imul(T,J)|0)+Math.imul(k,K)|0,a=a+Math.imul(k,J)|0,n=n+Math.imul(b,Q)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,Q)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(y,rt)|0,i=(i=i+Math.imul(y,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(v,at)|0,a=a+Math.imul(v,ot)|0;var Tt=(u+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ut)|0)+Math.imul(h,lt)|0))<<13)|0;u=((a=a+Math.imul(h,ut)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),i=(i=Math.imul(D,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(O,H)|0,i=(i=i+Math.imul(O,G)|0)+Math.imul(I,H)|0,a=a+Math.imul(I,G)|0,n=n+Math.imul(L,Y)|0,i=(i=i+Math.imul(L,X)|0)+Math.imul(C,Y)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(M,K)|0,i=(i=i+Math.imul(M,J)|0)+Math.imul(S,K)|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(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(y,at)|0,i=(i=i+Math.imul(y,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ut)|0)+Math.imul(v,lt)|0,a=a+Math.imul(v,ut)|0;var kt=(u+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;u=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(D,H)|0,i=(i=i+Math.imul(D,G)|0)+Math.imul(R,H)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(O,Y)|0,i=(i=i+Math.imul(O,X)|0)+Math.imul(I,Y)|0,a=a+Math.imul(I,X)|0,n=n+Math.imul(L,K)|0,i=(i=i+Math.imul(L,J)|0)+Math.imul(C,K)|0,a=a+Math.imul(C,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(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(y,lt)|0,i=(i=i+Math.imul(y,ut)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ut)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(v,ft)|0,a=a+Math.imul(v,ht)|0;var At=(u+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,vt)|0)+Math.imul(h,dt)|0))<<13)|0;u=((a=a+Math.imul(h,vt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,H),i=(i=Math.imul(B,G))+Math.imul(N,H)|0,a=Math.imul(N,G),n=n+Math.imul(D,Y)|0,i=(i=i+Math.imul(D,X)|0)+Math.imul(R,Y)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(O,K)|0,i=(i=i+Math.imul(O,J)|0)+Math.imul(I,K)|0,a=a+Math.imul(I,J)|0,n=n+Math.imul(L,Q)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,Q)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ut)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(y,ft)|0,i=(i=i+Math.imul(y,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var Mt=(u+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,vt)|0)+Math.imul(v,dt)|0))<<13)|0;u=((a=a+Math.imul(v,vt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,Y),i=(i=Math.imul(B,X))+Math.imul(N,Y)|0,a=Math.imul(N,X),n=n+Math.imul(D,K)|0,i=(i=i+Math.imul(D,J)|0)+Math.imul(R,K)|0,a=a+Math.imul(R,J)|0,n=n+Math.imul(O,Q)|0,i=(i=i+Math.imul(O,tt)|0)+Math.imul(I,Q)|0,a=a+Math.imul(I,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ut)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ut)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(u+(n=n+Math.imul(y,dt)|0)|0)+((8191&(i=(i=i+Math.imul(y,vt)|0)+Math.imul(m,dt)|0))<<13)|0;u=((a=a+Math.imul(m,vt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,K),i=(i=Math.imul(B,J))+Math.imul(N,K)|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(O,rt)|0,i=(i=i+Math.imul(O,nt)|0)+Math.imul(I,rt)|0,a=a+Math.imul(I,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ut)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(u+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,vt)|0)+Math.imul(_,dt)|0))<<13)|0;u=((a=a+Math.imul(_,vt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,Q),i=(i=Math.imul(B,tt))+Math.imul(N,Q)|0,a=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,i=(i=i+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(O,at)|0,i=(i=i+Math.imul(O,ot)|0)+Math.imul(I,at)|0,a=a+Math.imul(I,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ut)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(u+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,vt)|0)+Math.imul(k,dt)|0))<<13)|0;u=((a=a+Math.imul(k,vt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(D,at)|0,i=(i=i+Math.imul(D,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(O,lt)|0,i=(i=i+Math.imul(O,ut)|0)+Math.imul(I,lt)|0,a=a+Math.imul(I,ut)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(u+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,vt)|0)+Math.imul(S,dt)|0))<<13)|0;u=((a=a+Math.imul(S,vt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,i=(i=i+Math.imul(D,ut)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ut)|0,n=n+Math.imul(O,ft)|0,i=(i=i+Math.imul(O,ht)|0)+Math.imul(I,ft)|0,a=a+Math.imul(I,ht)|0;var Pt=(u+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,vt)|0)+Math.imul(C,dt)|0))<<13)|0;u=((a=a+Math.imul(C,vt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ut))+Math.imul(N,lt)|0,a=Math.imul(N,ut),n=n+Math.imul(D,ft)|0,i=(i=i+Math.imul(D,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var Ot=(u+(n=n+Math.imul(O,dt)|0)|0)+((8191&(i=(i=i+Math.imul(O,vt)|0)+Math.imul(I,dt)|0))<<13)|0;u=((a=a+Math.imul(I,vt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var It=(u+(n=n+Math.imul(D,dt)|0)|0)+((8191&(i=(i=i+Math.imul(D,vt)|0)+Math.imul(R,dt)|0))<<13)|0;u=((a=a+Math.imul(R,vt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863;var zt=(u+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,vt))+Math.imul(N,dt)|0))<<13)|0;return u=((a=Math.imul(N,vt))+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863,l[0]=gt,l[1]=yt,l[2]=mt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=Ot,l[17]=It,l[18]=zt,0!==u&&(l[19]=u,r.length++),r};function v(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r,n=this.length+t.length;return r=10===this.length&&10===t.length?d(this,t,e):n<63?p(this,t,e):n<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),u=Math.max(0,a-t.length+1);u<=l;u++){var c=a-u,f=(0|t.words[c])*(0|e.words[u]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):v(this,t,e),r},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),u=Math.sin(2*Math.PI/s),c=0;c<i;c+=s)for(var f=l,h=u,p=0;p<o;p++){var d=r[c+p],v=n[c+p],g=r[c+p+o],y=n[c+p+o],m=f*g-h*y;y=f*y+h*g,g=m,r[c+p]=d+g,n[c+p]=v+y,r[c+p+o]=d-g,n[c+p+o]=v-y,p!==s&&(m=l*f-u*h,h=l*h+u*f,f=m)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),u=new Array(n),c=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,u,n),this.transform(o,a,s,l,n,i),this.transform(u,a,c,f,n,i);for(var p=0;p<n;p++){var d=s[p]*c[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*c[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),v(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n(\"number\"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var u=0;u<o;u++)l.words[u]=this.words[u];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,u=0;u<this.length;u++)this.words[u]=this.words[u+o];else this.words[0]=0,this.length=1;var c=0;for(u=this.length-1;u>=0&&(0!==c||u>=i);u--){var f=0|this.words[u];this.words[u]=c<<26-a|f>>>a,c=f&s}return l&&0!==c&&(l.words[l.length++]=c),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r||!(this.words[r]&i))},a.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!=(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var u=0;u<s.length;u++)s.words[u]=0}var c=n.clone()._ishlnsubmul(i,1,l);0===c.negative&&(n=c,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),u=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(c),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,v=1;0==(r.words[0]&v)&&d<26;++d,v<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(u)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var u=0,c=1;0==(e.words[0]&c)&&u<26;++u,c<<=1);if(u>0)for(e.iushrn(u);u-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,\"Already a number in reduction context\"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var y={k256:null,p224:null,p192:null,p25519:null};function m(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){m.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function b(){m.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function _(){m.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function w(){m.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function T(t){if(\"string\"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),\"modulus must be greater than 1\"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}m.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},m.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},m.prototype.split=function(t,e){t.iushrn(this.n,0,e)},m.prototype.imulK=function(t){return t.imul(this.k)},i(x,m),x.prototype.split=function(t,e){for(var r=4194303,n=Math.min(t.length,9),i=0;i<n;i++)e.words[i]=t.words[i];if(e.length=n,t.length<=9)return t.words[0]=0,void(t.length=1);var a=t.words[9];for(e.words[e.length++]=a&r,i=10;i<t.length;i++){var o=0|t.words[i];t.words[i-10]=(o&r)<<4|a>>>22,a=o}a>>>=22,t.words[i-10]=a,0===a&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(b,m),i(_,m),i(w,m),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(y[t])return y[t];var e;if(\"k256\"===t)e=new x;else if(\"p224\"===t)e=new b;else if(\"p192\"===t)e=new _;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new w}return y[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),u=this.m.subn(1).iushrn(1),c=this.m.bitLength();for(c=new a(2*c*c).toRed(this);0!==this.pow(c,u).cmp(l);)c.redIAdd(l);for(var f=this.pow(c,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var v=p,g=0;0!==v.cmp(s);g++)v=v.redSqr();n(g<d);var y=this.pow(f,new a(1).iushln(d-g-1));h=h.redMul(y),f=y.redSqr(),p=p.redMul(f),d=g}return h},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var u=e.words[n],c=l-1;c>=0;c--){var f=u>>c&1;i!==r[0]&&(i=this.sqr(i)),0!==f||0!==o?(o<<=1,o|=f,(4==++s||0===n&&0===c)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},T.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new k(t)},i(k,T),k.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},k.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},k.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var 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if(h.right===s){if(!(d=p.left)||0!==d._color){p._color=0,p.right=h.left,h._color=1,h.left=p,l[f-2]=h,l[f-1]=s,i(p),i(h),f>=3&&((v=l[f-3]).right===p?v.right=h:v.left=h);break}h._color=1,p.left=n(1,d),p._color=0,f-=1}else{var d;if(!(d=p.left)||0!==d._color){var v;h.left=s.right,p._color=0,p.right=s.left,s._color=1,s.right=h,s.left=p,l[f-2]=s,l[f-1]=h,i(p),i(h),i(s),f>=3&&((v=l[f-3]).right===p?v.right=s:v.left=s);break}h._color=1,p.left=n(1,d),p._color=0,f-=1}}return l[0]._color=1,new a(o,l[0])},o.forEach=function(t,e,r){if(this.root)switch(arguments.length){case 1:return s(t,this.root);case 2:return l(e,this._compare,t,this.root);case 3:if(this._compare(e,r)>=0)return;return u(e,r,this._compare,t,this.root)}},Object.defineProperty(o,\"begin\",{get:function(){for(var t=[],e=this.root;e;)t.push(e),e=e.left;return new c(this,t)}}),Object.defineProperty(o,\"end\",{get:function(){for(var t=[],e=this.root;e;)t.push(e),e=e.right;return new c(this,t)}}),o.at=function(t){if(t<0)return new c(this,[]);for(var e=this.root,r=[];;){if(r.push(e),e.left){if(t<e.left._count){e=e.left;continue}t-=e.left._count}if(!t)return new c(this,r);if(t-=1,!e.right)break;if(t>=e.right._count)break;e=e.right}return new c(this,[])},o.ge=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<=0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new c(this,n)},o.gt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new c(this,n)},o.lt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new c(this,n)},o.le=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>=0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new c(this,n)},o.find=function(t){for(var e=this._compare,r=this.root,n=[];r;){var i=e(t,r.key);if(n.push(r),0===i)return new c(this,n);r=i<=0?r.left:r.right}return new c(this,[])},o.remove=function(t){var e=this.find(t);return e?e.remove():this},o.get=function(t){for(var e=this._compare,r=this.root;r;){var n=e(t,r.key);if(0===n)return r.value;r=n<=0?r.left:r.right}};var f=c.prototype;function h(t,e){t.key=e.key,t.value=e.value,t.left=e.left,t.right=e.right,t._color=e._color,t._count=e._count}function p(t,e){return t<e?-1:t>e?1:0}Object.defineProperty(f,\"valid\",{get:function(){return this._stack.length>0}}),Object.defineProperty(f,\"node\",{get:function(){return this._stack.length>0?this._stack[this._stack.length-1]:null},enumerable:!0}),f.clone=function(){return new c(this.tree,this._stack.slice())},f.remove=function(){var t=this._stack;if(0===t.length)return this.tree;var o=new Array(t.length),s=t[t.length-1];o[o.length-1]=new e(s._color,s.key,s.value,s.left,s.right,s._count);for(var l=t.length-2;l>=0;--l)(s=t[l]).left===t[l+1]?o[l]=new e(s._color,s.key,s.value,o[l+1],s.right,s._count):o[l]=new e(s._color,s.key,s.value,s.left,o[l+1],s._count);if((s=o[o.length-1]).left&&s.right){var u=o.length;for(s=s.left;s.right;)o.push(s),s=s.right;var c=o[u-1];for(o.push(new e(s._color,c.key,c.value,s.left,s.right,s._count)),o[u-1].key=s.key,o[u-1].value=s.value,l=o.length-2;l>=u;--l)s=o[l],o[l]=new e(s._color,s.key,s.value,s.left,o[l+1],s._count);o[u-1].left=o[u]}if(0===(s=o[o.length-1])._color){var f=o[o.length-2];for(f.left===s?f.left=null:f.right===s&&(f.right=null),o.pop(),l=0;l<o.length;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(s.left||s.right){for(s.left?h(s,s.left):s.right&&h(s,s.right),s._color=1,l=0;l<o.length-1;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(1===o.length)return new a(this.tree._compare,null);for(l=0;l<o.length;++l)o[l]._count--;var p=o[o.length-2];return function(t){for(var e,a,o,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((a=t[l-1]).left===e){if((o=a.right).right&&0===o.right._color)return s=(o=a.right=r(o)).right=r(o.right),a.right=o.left,o.left=a,o.right=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((u=t[l-2]).left===a?u.left=o:u.right=o),void(t[l-1]=o);if(o.left&&0===o.left._color)return s=(o=a.right=r(o)).left=r(o.left),a.right=s.left,o.left=s.right,s.left=a,s.right=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((u=t[l-2]).left===a?u.left=s:u.right=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.right=n(0,o));a.right=n(0,o);continue}o=r(o),a.right=o.left,o.left=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((u=t[l-2]).left===a?u.left=o:u.right=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((o=a.left).left&&0===o.left._color)return s=(o=a.left=r(o)).left=r(o.left),a.left=o.right,o.right=a,o.left=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((u=t[l-2]).right===a?u.right=o:u.left=o),void(t[l-1]=o);if(o.right&&0===o.right._color)return s=(o=a.left=r(o)).right=r(o.right),a.left=s.right,o.right=s.left,s.right=a,s.left=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((u=t[l-2]).right===a?u.right=s:u.left=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.left=n(0,o));a.left=n(0,o);continue}var u;o=r(o),a.left=o.right,o.right=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((u=t[l-2]).right===a?u.right=o:u.left=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(o),p.left===s?p.left=null:p.right=null,new a(this.tree._compare,o[0])},Object.defineProperty(f,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(f,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(f,\"index\",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:!0}),f.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(f,\"hasNext\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),f.update=function(t){var r=this._stack;if(0===r.length)throw new Error(\"Can't update empty node!\");var n=new Array(r.length),i=r[r.length-1];n[n.length-1]=new e(i._color,i.key,t,i.left,i.right,i._count);for(var o=r.length-2;o>=0;--o)(i=r[o]).left===r[o+1]?n[o]=new e(i._color,i.key,i.value,n[o+1],i.right,i._count):n[o]=new e(i._color,i.key,i.value,i.left,n[o+1],i._count);return new a(this.tree._compare,n[0])},f.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(f,\"hasPrev\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},3837:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=new c(t);return r.update(e),r};var n=r(4935),i=r(501),a=r(5304),o=r(6429),s=r(6444),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function u(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function c(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickFontStyle=[\"normal\",\"normal\",\"normal\"],this.tickFontWeight=[\"normal\",\"normal\",\"normal\"],this.tickFontVariant=[\"normal\",\"normal\",\"normal\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.labelFontStyle=[\"normal\",\"normal\",\"normal\"],this.labelFontWeight=[\"normal\",\"normal\",\"normal\"],this.labelFontVariant=[\"normal\",\"normal\",\"normal\"],this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var f=c.prototype;function h(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}f.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?Array.isArray(a)&&Array.isArray(a[0]):Array.isArray(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),u=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),c=!1,f=!1;if(\"bounds\"in t)for(var h=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)h[p][d]!==this.bounds[p][d]&&(f=!0),this.bounds[p][d]=h[p][d];if(\"ticks\"in t)for(r=t.ticks,c=!0,this.autoTicks=!1,p=0;p<3;++p)this.tickSpacing[p]=0;else a(\"tickSpacing\")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),f=!0,c=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),c=!0),c){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?c=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(c=!0),l(\"tickFontStyle\")&&(c=!0),l(\"tickFontWeight\")&&(c=!0),l(\"tickFontVariant\")&&(c=!0),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),u(\"tickColor\");var v=l(\"labels\");l(\"labelFont\")&&(v=!0),l(\"labelFontStyle\")&&(v=!0),l(\"labelFontWeight\")&&(v=!0),l(\"labelFontVariant\")&&(v=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),u(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),u(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),u(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),u(\"gridColor\"),o(\"zeroEnable\"),u(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),u(\"backgroundColor\");var g=[{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]}],y=[{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&&(v||c)&&this._text.update(this.bounds,this.labels,g,this.ticks,y):this._text=n(this.gl,this.bounds,this.labels,g,this.ticks,y),this._lines&&c&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,u=n[e],c=0;c<3;++c)if(e!==c){var f=a,h=s,p=o,d=l;u&1<<c&&(f=s,h=a,p=l,d=o),f[c]=r[0][c],h[c]=r[1][c],i[c]>0?(p[c]=-1,d[c]=0):(p[c]=0,d[c]=1)}}var v=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var y=[0,0,0],m=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,c=o(r,n,i,a,s),f=c.cubeEdges,h=c.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E,L,C=v;for(A=0;A<3;++A)this.backgroundEnable[A]?C[A]=h[A]:C[A]=0;for(this._background.draw(r,n,i,a,C,this.backgroundColor),this._lines.bind(r,n,i,this),A=0;A<3;++A){var P=[0,0,0];h[A]>0?P[A]=a[1][A]:P[A]=a[0][A];for(var O=0;O<2;++O){var I=(A+1+O)%3,z=(A+1+(1^O))%3;this.gridEnable[I]&&this._lines.drawGrid(I,z,this.bounds,P,this.gridColor[I],this.gridWidth[I]*this.pixelRatio)}for(O=0;O<2;++O)I=(A+1+O)%3,z=(A+1+(1^O))%3,this.zeroEnable[z]&&Math.min(a[0][z],a[1][z])<=0&&Math.max(a[0][z],a[1][z])>=0&&this._lines.drawZero(I,z,this.bounds,P,this.zeroLineColor[z],this.zeroLineWidth[z]*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=u(y,M[A].primalMinor),R=u(m,M[A].mirrorMinor),F=this.lineTickLength;for(O=0;O<3;++O){var B=k/r[5*O];D[O]*=F[O]*B,R[O]*=F[O]*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){(L=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio),A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,q=u(x,M[A].primalOffset);for(O=0;O<3;++O)this.lineTickEnable[A]&&(q[O]+=k*U[O]*Math.max(this.lineTickLength[O],0)/r[5*O]);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]),L=[0,0,0],j(A,U,V),O=0;O<3;++O)q[O]+=k*U[O]*this.tickPad[O]/r[5*O];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],q,this.tickColor[A],H,L,S)}if(this.labelEnable[A]){for(E=0,L=[0,0,0],this.labels[A].length>4&&(N(A),E=1),\"auto\"===(S=[this.labelAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),O=0;O<3;++O)q[O]+=k*U[O]*this.labelPad[O]/r[5*O];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],L,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},5304:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[u]=d;for(var v=-1;v<=1;v+=2)f[c]=v,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=u;u=c,c=g}var y=n(t,new Float32Array(e)),m=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:y,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:y,type:t.FLOAT,size:3,offset:12,stride:24}],m),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,y,x,b)};var n=r(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 m=0,x=0;x<2;++x){c[2]=a[x][2];for(var b=0;b<2;++b){c[1]=a[b][1];for(var _=0;_<2;++_)c[0]=a[_][0],h(l[m],c,s),m+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)u[x][k]=l[x][k]/T;p&&(u[x][2]*=-1),T<0&&(w<0||u[x][2]<u[w][2])&&(w=x)}if(w<0){w=0;for(var A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=(I=C<<A)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);o(u[I],u[P],u[O],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<A);else{for(C=0;C<2;++C){P=(I=C<<A)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);var I,z=d([l[I],l[P],l[O],l[I+(1<<M)+(1<<S)]]);C?E=z:L=z}L>E&&(w|=1<<A)}}}var D=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==D&&(R<0||u[R][1]>u[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x)(N=R^1<<x)!==w&&N!==D&&(F<0&&(F=N),(S=u[N])[0]<u[F][0]&&(F=N));var B=-1;for(x=0;x<3;++x){var N;(N=R^1<<x)!==w&&N!==D&&N!==F&&(B<0&&(B=N),(S=u[N])[0]>u[B][0]&&(B=N))}var j=v;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===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<<A?-1:1;return y};var n=r(8828),i=r(6760),a=r(5202),o=r(3250),s=new Array(16),l=new Array(8),u=new Array(8),c=new Array(3),f=[0,0,0];function h(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],u[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],u=s[0]/s[3]-n,c=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(u*h-c*f)}return o}var v=[1,1,1],g=[0,0,0],y={cubeEdges:v,axis:g}},501:function(t,e,r){\"use strict\";t.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var v=+r[f][d].x;o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1)}var g=o.length/3|0;s[f]=h,l[f]=g-h,h=o.length/3|0;for(var y=0;y<r[f].length;++y)v=+r[f][y].x,o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1);g=o.length/3|0,u[f]=h,c[f]=g-h}var m=n(t,new Float32Array(o)),x=i(t,[{buffer:m,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,m,x,b,l,s,c,u)};var n=r(2762),i=r(8116),a=r(1879).n,o=[0,0,0],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,c[0]=this.gl.drawingBufferWidth,c[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=c,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,c=h(u,r);c[t]+=e[0][t],this.shader.uniforms.offset=c,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var c=f(s);c[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=c;var p=h(u,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var v=f(l);v[t]=1,this.shader.uniforms.screenAxis=v,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var c=h(u,n);c[t]+=r[0][t],this.shader.uniforms.offset=c;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},1879:function(t,e,r){\"use strict\";var n=r(3236),i=r(9405),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);e.n=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);e.Q=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"]);e.bg=function(t){return i(t,u,c,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},4935:function(t,e,r){\"use strict\";t.exports=function(t,e,r,n,o,l){var u=i(t),f=a(t,[{buffer:u,size:3}]),h=s(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,n,o,l),p};var i=r(2762),a=r(8116),o=r(4359),s=r(1879).Q,l=window||n.global||{},u=l.__TEXT_CACHE||{};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}l.__TEXT_CACHE={};var f=c.prototype,h=[0,0];f.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},f.unbind=function(){this.vao.unbind()},f.update=function(t,e,r,n,i){var a=[];function s(t,e,r,n,i,s){var l=[r.style,r.weight,r.variant,r.family].join(\"_\"),c=u[l];c||(c=u[l]={});var f=c[e];f||(f=c[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 h=(n||12)/12,p=f.positions,d=f.cells,v=0,g=d.length;v<g;++v)for(var y=d[v],m=2;m>=0;--m){var x=p[y[m]];a.push(h*x[0],-h*x[1],t)}}for(var l=[0,0,0],c=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=a.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(a.length/3|0)-f[d],l[d]=a.length/3|0;for(var v=0;v<n[d].length;++v)if(n[d][v].text){var g={family:n[d][v].font||i[d].family,style:i[d].fontStyle||i[d].style,weight:i[d].fontWeight||i[d].weight,variant:i[d].fontVariant||i[d].variant};s(n[d][v].x,n[d][v].text,g,n[d][v].fontSize||12,1.25,p)}c[d]=(a.length/3|0)-l[d]}this.buffer.update(a),this.tickOffset=l,this.tickCount=c,this.labelOffset=f,this.labelCount=h},f.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},f.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},f.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}},6444:function(t,e){\"use strict\";function r(t,e){var r=t+\"\",n=r.indexOf(\".\"),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/a,u=o%a;o<0?(l=0|-Math.ceil(l),u=0|-u):(l=0|Math.floor(l),u|=0);var c=\"\"+l;if(o<0&&(c=\"-\"+c),i){for(var f=\"\"+u;f.length<i;)f=\"0\"+f;return c+\".\"+f}return c}e.create=function(t,e){for(var n=[],i=0;i<3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]<=t[1][i];++o)a.push({x:o*e[i],text:r(e[i],o)});for(o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:r(e[i],o)});n.push(a)}return n},e.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}},5445:function(t,e,r){\"use strict\";t.exports=function(t,e,r,l,f){var h=e.model||u,p=e.view||u,y=e.projection||u,m=e._ortho||!1,x=t.bounds,b=(f=f||a(h,p,y,x,m)).axis;o(c,p,h),o(c,y,c);for(var _=v,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(c,c));s(c,c);for(var k=0;k<3;++k){var A=(k+1)%3,M=(k+2)%3,S=g;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var L=0;L<2;++L){S[A]=x[L^w][A];for(var C=0;C<2;++C)S[M]=x[C^L^w][M],E.push(S.slice())}var P=m?5:4;for(L=P;L===P;++L){if(0===E.length)continue t;E=i.positive(E,T[L])}for(L=0;L<E.length;++L){M=E[L];var O=d(g,c,M,r,l);for(C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,M[C]),_[C].hi=Math.max(_[C].hi,M[C]),C!==k&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(O[C])))}}}}return _};var n=r(5033),i=r(5202),a=r(6429),o=r(6760),s=r(5665),l=r(5352),u=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),c=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=h,s=p,u=0;u<3;++u)s[u]=o[u]=r[u];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var c=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(c*c+f*f)}return t}var v=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],g=[0,0,0]},2762:function(t,e,r){\"use strict\";var n=r(1888),i=r(5298),a=r(9618),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function u(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function c(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER&&(r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\"),r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=u(this.gl,this.type,this.length,this.usage,t.data,e):this.length=u(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=u(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?c(t,\"uint16\"):c(t,\"float32\"),this.length=u(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=u(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},t.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},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,u=1/0,c=-1/0,f=1/0,h=-1/0,p=null,d=null,v=[],g=1/0,y=!1,m=\"raw\"===t.coneSizemode,x=0;x<r.length;x++){var b=r[x];s=Math.min(b[0],s),l=Math.max(b[0],l),u=Math.min(b[1],u),c=Math.max(b[1],c),f=Math.min(b[2],f),h=Math.max(b[2],h);var _=i[x];if(n.length(_)>o&&(o=n.length(_)),x&&!m){var w=2*n.distance(p,b)/(n.length(d)+n.length(_));w?(g=Math.min(g,w),y=!1):y=!0}y||(p=b,d=_),v.push(_)}var T=[s,u,f],k=[l,c,h];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||(m?1:.5);t.absoluteConeSize&&(M=t.absoluteConeSize*A),a.coneScale=M,x=0;for(var S=0;x<r.length;x++)for(var E=(b=r[x])[0],L=b[1],C=b[2],P=v[x],O=n.length(P)*A,I=0;I<8;I++){a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.vectors.push(P),a.vectors.push(P),a.vectors.push(P),a.vectors.push(P),a.vectors.push(P),a.vectors.push(P),a.vertexIntensity.push(O,O,O),a.vertexIntensity.push(O,O,O);var z=a.positions.length;a.cells.push([z-6,z-5,z-4],[z-3,z-2,z-1])}return a};var i=r(614);t.exports.createMesh=r(9060),t.exports.createConeMesh=function(e,r){return t.exports.createMesh(e,r,{shaders:i,traceType:\"cone\"})}},9060:function(t,e,r){\"use strict\";var n=r(9405),i=r(2762),a=r(8116),o=r(7766),s=r(6760),l=r(7608),u=r(9618),c=r(6729),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,u,c){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=u,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=c,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.prototype;p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=c({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return u(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,v=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],v=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var y=p[g];d=Math.min(d,y),v=Math.max(v,y)}else for(g=0;g<n.length;++g)y=n[g][2],d=Math.min(d,y),v=Math.max(v,y);for(this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],g=0;g<n.length;++g)for(var m=n[g],x=0;x<3;++x)!isNaN(m[x])&&isFinite(m[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],m[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],m[x]));var b=0;t:for(g=0;g<r.length;++g){var _=r[g];if(3===_.length){for(x=0;x<3;++x){m=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(m[w])||!isFinite(m[w]))continue t}for(x=0;x<3;++x){var T;m=n[T=_[2-x]],a.push(m[0],m[1],m[2],m[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var A,M=h;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),A=p?[(p[T]-d)/(v-d),0]:[(m[2]-d)/(v-d),0],l.push(A[0],A[1]),f.push(g)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var u={model:r,view:n,projection:i,inverseModel:f.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};u.inverseModel=l(u.inverseModel,u.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(s(c,u.view,u.model),s(c,u.projection,c),l(c,c),o=0;o<3;++o)u.eyePosition[o]=c[12+o]/c[15];var h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];u.lightPosition[o]=p/h}if(this.triangleCount>0){var v=this.triShader;v.bind(),v.uniforms=u,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?i.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},t.exports=function(t,e,r){var s=r.shaders;1===arguments.length&&(t=(e=t).gl);var l=function(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}(t,s),c=function(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}(t,s),f=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));f.generateMipmap(),f.minFilter=t.LINEAR_MIPMAP_LINEAR,f.magFilter=t.LINEAR;var p=i(t),d=i(t),v=i(t),g=i(t),y=i(t),m=new h(t,f,l,c,p,d,y,v,g,a(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||\"cone\");return m.update(e),m}},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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worldPosition  = model * vec4(position, 1.0);\\n  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\\n  gl_Position         = projection * view * worldPosition;\\n  fragColor           = color;\\n  fragPosition        = position;\\n}\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float opacity;\\nvarying vec3 fragPosition;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  gl_FragColor = opacity * fragColor;\\n}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}},2260:function(t,e,r){\"use strict\";var 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 u=t.getExtension(\"WEBGL_draw_buffers\");if(!l&&u&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(a=n;a<r;++a)i[a]=t.NONE;l[n]=i}}(t,u),Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]),\"number\"!=typeof e)throw new Error(\"gl-fbo: Missing shape parameter\");var c=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>c||r<0||r>c)throw new 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c(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){case i:throw new Error(\"gl-fbo: Framebuffer unsupported\");case a:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case o:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case s:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function h(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var v=this,g=[0|e,0|r];Object.defineProperties(g,{0:{get:function(){return v._shape[0]},set:function(t){return v.width=t}},1:{get:function(){return v._shape[1]},set:function(t){return v.height=t}}}),this._shapeVector=g,function(t){var e=u(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,v=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var y=0;y<o;++y)t.color[y]=h(r,i,a,g,r.RGBA,r.COLOR_ATTACHMENT0+y);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var m=r.getExtension(\"WEBGL_depth_texture\");m?d?t.depth=h(r,i,a,m.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):v&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){for(t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null),y=0;y<t.color.length;++y)t.color[y].dispose(),t.color[y]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),c(r,e),f(x)}c(r,e)}(this)}var v=d.prototype;function g(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=u(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),c(n,a),f(s)),c(n,a)}}Object.defineProperties(v,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return g(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return g(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,g(this,this._shape[0],t),t},enumerable:!1}}),v.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},v.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},2992:function(t,e,r){var n=r(3387).sprintf,i=r(5171),a=r(1848),o=r(1085);t.exports=function(t,e,r){\"use strict\";var s=a(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===i.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var u=n(\"Error compiling %s shader %s:\\n\",l,s),c=n(\"%s%s\",u,t),f=t.split(\"\\n\"),h={},p=0;p<f.length;p++){var d=f[p];if(\"\"!==d&&\"\\0\"!==d){var v=parseInt(d.split(\":\")[2]);if(isNaN(v))throw new Error(n(\"Could not parse error: %s\",d));h[v]=d}}var g=o(e).split(\"\\n\");for(p=0;p<g.length;p++)if((h[p+3]||h[p+2]||h[p+1])&&(u+=g[p]+\"\\n\",h[p+1])){var y=h[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),u+=n(\"^^^ %s\\n\\n\",y)}return{long:u.trim(),short:c.trim()}}},2510:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=t.gl,n=new u(t,o(r,l.vertex,l.fragment),o(r,l.pickVertex,l.pickFragment),s(r),s(r),s(r),s(r));return n.update(e),t.addObject(n),n};var n=r(2478),i=r(7762),a=r(1888),o=r(9405),s=r(2762),l=r(6768);function u(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var c,f=u.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(c=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],u=a[3]-a[1];c[0]=2*o/l,c[4]=2*s/u,c[6]=2*(r[0]-a[0])/l-1,c[7]=2*(r[1]-a[1])/u-1,e.bind();var f=e.uniforms;f.viewTransform=c,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,u=a[2]-a[0],c=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*u/f,t[4]=2*c/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var v=i.attributes;return this.positionBuffer.bind(),v.position.pointer(),this.weightBuffer.bind(),v.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),v.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var u,c,f,p,d=t.colorLevels||[0],v=t.colorValues||[0,0,0,1],g=d.length,y=this.bounds;l?(u=y[0]=r[0],c=y[1]=o[0],f=y[2]=r[r.length-1],p=y[3]=o[o.length-1]):(u=y[0]=r[0]+(r[1]-r[0])/2,c=y[1]=o[0]+(o[1]-o[0])/2,f=y[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=y[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var m=1/(f-u),x=1/(p-c),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var P,O;l?(P=x*(o[C]-c),O=x*(o[C+1]-c)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-c):x*(o[C]-(o[C]-o[C-1])/2-c),O=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-c):x*(o[C]+(o[C]-o[C-1])/2-c));for(var I=0;I<E;++I){var z,D;l?(z=m*(r[I]-u),D=m*(r[I+1]-u)):(z=I<b-1?m*(r[I]-(r[I+1]-r[I])/2-u):m*(r[I]-(r[I]-r[I-1])/2-u),D=I<b-1?m*(r[I]+(r[I+1]-r[I])/2-u):m*(r[I]+(r[I]-r[I-1])/2-u));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],q=s[l?(C+V)*b+(I+U):C*b+I],H=n.le(d,q);if(H<0)F=v[0],B=v[1],N=v[2],j=v[3];else if(H===g-1)F=v[4*g-4],B=v[4*g-3],N=v[4*g-2],j=v[4*g-1];else{var G=(q-d[H])/(d[H+1]-d[H]),W=1-G,Y=4*H,X=4*(H+1);F=W*v[Y]+G*v[X],B=W*v[Y+1]+G*v[X+1],N=W*v[Y+2]+G*v[X+2],j=W*v[Y+3]+G*v[X+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*z+.5*D,k[2*S+1]=.5*P+.5*O,A[2*S]=U,A[2*S+1]=V,M[S]=C*b+I,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(A),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(k),a.free(T),a.free(A),a.free(M)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},6768:function(t,e,r){\"use strict\";var n=r(3236);t.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},7319:function(t,e,r){var n=r(3236),i=r(9405),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  float m = av * pow(2.0, -e) - 1.0;\\n\\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n\\n  //Unpack exponent\\n  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];e.createShader=function(t){return i(t,a,o,null,l)},e.createPickShader=function(t){return i(t,a,s,null,l)}},5714:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),c=u(new Array(1024),[256,1,4]),p=0;p<1024;++p)c.data[p]=255;var d=a(e,c);d.wrap=e.REPEAT;var v=new y(e,r,o,s,l,d);return v.update(t),v};var n=r(2762),i=r(8116),a=r(7766),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(2478),u=r(9618),c=r(7319),f=c.createShader,h=c.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function v(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function y(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var m=y.prototype;m.isTransparent=function(){return this.hasAlpha},m.isOpaque=function(){return!this.hasAlpha},m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.drawTransparent=m.draw=function(t){if(this.vertexCount){var 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r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return(r=Math.sqrt(r))+(a=Math.sqrt(a))<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(c,e),y=0;for(f=0;f<3;++f){if(g[f]<-.001||g[f]>1.0001)return null;y+=g[f]}return Math.abs(y-1)>.001?null:[h,s(t,g),g]}},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}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n  } else {\\n    gl_Position  = projection * view * model * vec4(position, 1.0);\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.pointShader={vertex:l,fragment:u,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},e.pickShader={vertex:c,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},e.pointPickShader={vertex:h,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},e.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},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),u=r(7608),c=r(9618),f=r(6729),h=r(7765),p=r(1888),d=r(840),v=r(7626),g=d.meshShader,y=d.wireShader,m=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=c,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=u,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=y,this.edgeIds=v,this.edgeVAO=m,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function S(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function E(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var u=r[l],c=0;c<2;++c){var f=u[0];2===u.length&&(f=u[c]);for(var d=n[f][0],v=n[f][1],g=i[f],y=1-g,m=this.positions[d],x=this.positions[v],b=0;b<3;++b)o[s++]=g*m[b]+y*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=f({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*A(i/255,e):255*a[3]}return c(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],u=[],h=[],p=[],d=[],v=[],g=[],y=[],m=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,O=t.cellUVs,I=t.cellIntensity,z=1/0,D=-1/0;if(!C&&!O)if(P)if(t.vertexIntensityBounds)z=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];z=Math.min(z,F),D=Math.max(D,F)}else if(I)if(t.cellIntensityBounds)z=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<I.length;++R)F=I[R],z=Math.min(z,F),D=Math.max(D,F);else for(R=0;R<n.length;++R)F=n[R][2],z=Math.min(z,F),D=Math.max(D,F);this.intensity=P||I||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.pickVertex=!(I||E);var B=t.pointSizes,N=t.pointSize||1;for(this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,q=0,H=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[Y=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;y.push(j[0],j[1],j[2]),X=S?S[Y]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[Y]-z)/(D-z),this.opacityscale)):3===X.length?m.push(X[0],X[1],X[2],this.opacity):(m.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[Y]:P?[(P[Y]-z)/(D-z),0]:O?O[R]:I?[(I[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],x.push(Z[0],Z[1]),B?b.push(B[Y]):b.push(N),_.push(R),H+=1;break;case 2:for(U=0;U<2;++U){j=n[Y=G[U]];for(var W=0;W<3;++W)if(isNaN(j[W])||!isFinite(j[W]))continue t}for(U=0;U<2;++U)j=n[Y=G[U]],p.push(j[0],j[1],j[2]),X=S?S[Y]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[Y]-z)/(D-z),this.opacityscale)):3===X.length?d.push(X[0],X[1],X[2],this.opacity):(d.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[Y]:P?[(P[Y]-z)/(D-z),0]:O?O[R]:I?[(I[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],v.push(Z[0],Z[1]),g.push(R);q+=1;break;case 3:for(U=0;U<3;++U)for(j=n[Y=G[U]],W=0;W<3;++W)if(isNaN(j[W])||!isFinite(j[W]))continue t;for(U=0;U<3;++U){var Y,X,Z,K;j=n[Y=G[2-U]],i.push(j[0],j[1],j[2]),(X=S?S[Y]:E?E[R]:L)?this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[Y]-z)/(D-z),this.opacityscale)):3===X.length?a.push(X[0],X[1],X[2],this.opacity):(a.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),Z=C?C[Y]:P?[(P[Y]-z)/(D-z),0]:O?O[R]:I?[(I[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],u.push(Z[0],Z[1]),K=w?w[Y]:T[R],l.push(K[0],K[1],K[2]),h.push(R)}V+=1}}this.pointCount=H,this.edgeCount=q,this.triangleCount=V,this.pointPositions.update(y),this.pointColors.update(m),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(v),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(u),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=u(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(l(c,s.view,s.model),l(c,s.projection,c),u(c,c),o=0;o<3;++o)s.eyePosition[o]=c[12+o]/c[15];var f,h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()),this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};(s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],u=this.positions[r[1]],c=this.positions[r[2]],f=[(l[0]+u[0]+c[0])/3,(l[1]+u[1]+c[1])/3,(l[2]+u[2]+c[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=v(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},t.exports=function(t,e){if(1===arguments.length&&(t=(e=t).gl),!(t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\")))throw new Error(\"derivatives not supported\");var r=function(t){var e=n(t,g.vertex,g.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}(t),s=function(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}(t),l=M(t),u=S(t),f=E(t),h=L(t),p=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),v=i(t),m=i(t),x=i(t),b=i(t),_=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:b,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:m,type:t.FLOAT,size:2},{buffer:x,type:t.FLOAT,size:3}]),w=i(t),k=i(t),A=i(t),C=i(t),P=a(t,[{buffer:w,type:t.FLOAT,size:3},{buffer:C,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:k,type:t.FLOAT,size:4},{buffer:A,type:t.FLOAT,size:2}]),O=i(t),I=i(t),z=i(t),D=i(t),R=i(t),F=a(t,[{buffer:O,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:I,type:t.FLOAT,size:4},{buffer:z,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=i(t),N=new T(t,p,r,s,l,u,f,h,d,b,v,m,x,_,w,C,k,A,P,O,R,I,z,D,F,B,a(t,[{buffer:B,type:t.FLOAT,size:3}]));return N.update(e),N}},8120:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new o(t,n(e,[0,0,0,1,1,0,1,1]),i(e,a.boxVert,a.lineFrag))};var n=r(2762),i=r(9405),a=r(3603);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,u=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},1913:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new s(t,n(e),i(e,o.gridVert,o.gridFrag),i(e,o.tickVert,o.gridFrag))};var n=r(2762),i=r(9405),a=r(2478),o=r(3603);function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var u,c,f,h,p,d=s.prototype;d.draw=(u=[0,0],c=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,v=0;v<2;++v){var g=a[v],y=a[v+2]-g,m=.5*(o[v+2]+o[v]),x=o[v+2]-o[v];c[v]=2*y/x,u[v]=2*(g-m)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=u,r.uniforms.dataScale=c;var b=0;for(v=0;v<2;++v){f[0]=f[1]=0,f[v]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[v]/(s[v+2]-s[v])*d,r.uniforms.color=h[v];var _=6*n[v].length;p[v]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,u=this.vbo,c=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,v=s.viewBox,g=s.pixelRatio,y=s.screenBox,m=y[2]-y[0],x=y[3]-y[1],b=v[2]-v[0],_=v[3]-v[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M}e[0]*=b/m,t[0]*=b/m,e[1]*=_/x,t[1]*=_/x,c.bind(),u.bind(),c.attributes.dataCoord.pointer();var S=c.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*f[0].length,O=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),I=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),z=0+6*O,D=6*Math.max(0,I-O),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=P+6*R,N=6*Math.max(0,F-R);i[0]=2*(v[0]-E[1])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[1]*g/m,o[1]=L[1]*g/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[1]-E[0])/x-1,o[0]=L[0]*g/m,o[1]=E[0]*g/x,D&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D)),i[0]=2*(v[2]+E[3])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[3]*g/m,o[1]=L[3]*g/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[3]+E[2])/x-1,o[0]=L[2]*g/m,o[1]=E[2]*g/x,D&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],u=r[o],c=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-u)/(c-u);s.push(d);for(var v=0;v<6;++v)n[i++]=d,n[i++]=h[v],n[i++]=p[v]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},4747:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new o(t,n(e,[-1,-1,-1,1,1,-1,1,1]),i(e,a.lineVert,a.lineFrag))};var n=r(2762),i=r(9405),a=r(3603);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,u=this.shader,c=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,u.uniforms.start=s,u.uniforms.end=l,u.uniforms.width=i*o.pixelRatio,u.uniforms.color=a,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},3603:function(t,e,r){\"use strict\";var n=r(3236),i=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);t.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:i,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:i,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:i,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},2142:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new l(t,n(e),i(e,s.textVert,s.textFrag))};var n=r(2762),i=r(9405),a=r(529),o=r(2478),s=r(3603);function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var u,c,f,h,p,d,v=l.prototype;v.drawTicks=(u=[0,0],c=[0,0],f=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,v=e.tickPad,g=e.tickColor,y=e.tickAngle,m=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),A=o.le(n,l[t+2]);u[0]=u[1]=0,u[t]=1,c[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];c[1^t]=M*s[1^t]-1,d[t]&&(c[1^t]-=M*p*v[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t],r.uniforms.angle=y[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t]&&T&&(c[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),c[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(c[1^t]+=M*p*v[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t+2],r.uniforms.angle=y[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t+2]&&T&&(c[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),v.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,u=r.pixelRatio;if(this.titleCount){for(var c=0;c<2;++c)e[c]=2*(o[c]*u-a[c])/(a[2+c]-a[c])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),v.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,u=.5*(n[o+2]+n[o]),c=n[o+2]-n[o],f=a[o],v=a[o+2]-f,g=i[o],y=i[o+2]-g;p[o]=2*l/c*v/y,h[o]=2*(s-u)/c*v/y}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),v.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,u=t.bounds;for(o=0;o<2;++o){var c=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,v=p.text,g=p.font||\"sans-serif\",y=p.fontStyle||\"normal\",m=p.fontWeight||\"normal\",x=p.fontVariant||\"normal\";i=p.fontSize||12;for(var b=1/(u[o+2]-u[o]),_=u[o],w=v.split(\"\\n\"),T=0;T<w.length;T++)for(n=a(g,w[T],{fontStyle:y,fontWeight:m,fontVariant:x}).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-T*i*1.2,(d-_)*b);c.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=c,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{fontStyle:t.labelFontStyle[o],fontWeight:t.labelFontWeight[o],fontVariant:t.labelFontVariant[o],textAlign:\"center\"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title,{fontStyle:t.titleFontStyle,fontWeight:t.titleFontWeight,fontVariant:t.titleFontVariant}).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},v.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},1850:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=new l(e,n(e,[e.drawingBufferWidth,e.drawingBufferHeight]));return r.grid=i(r),r.text=a(r),r.line=o(r),r.box=s(r),r.update(t),r};var n=r(3589),i=r(1913),a=r(2142),o=r(4747),s=r(8120);function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var u=l.prototype;function c(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}u.setDirty=function(){this.dirty=this.pickDirty=!0},u.setOverlayDirty=function(){this.dirty=!0},u.nextDepthValue=function(){return this._depthCounter++/65536},u.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var u=this.borderColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var c=this.backgroundColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var v=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(v,e[1],v,e[3],p[d],h[d]):o.drawLine(e[0],v,e[2],v,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,y=this.borderLineWidth,m=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*y[1]*i,r[0],r[3]+.5*y[3]*i,y[1],m[1]),g[0]&&o.drawLine(r[0]-.5*y[0]*i,r[1],r[2]+.5*y[2]*i,r[1],y[0],m[0]),g[3]&&o.drawLine(r[2],r[1]-.5*y[1]*i,r[2],r[3]+.5*y[3]*i,y[3],m[3]),g[2]&&o.drawLine(r[0]-.5*y[0]*i,r[3],r[2]+.5*y[2]*i,r[3],y[2],m[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},u.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},u.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),u=this.objects,c=0;c<u.length;++c){var f=u[c].pick(a,o,l);if(f)return f}return null}},u.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},u.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},u.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},u.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]),this.screenBox,this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=c(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=c(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=c(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=c(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=c(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=c(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],labelFontStyle:t.labelFontStyle||[\"normal\",\"normal\"],labelFontWeight:t.labelFontWeight||[\"normal\",\"normal\"],labelFontVariant:t.labelFontVariant||[\"normal\",\"normal\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\",titleFontStyle:t.titleFontStyle||\"normal\",titleFontWeight:t.titleFontWeight||\"normal\",titleFontVariant:t.titleFontVariant||\"normal\"}),this.static=!!t.static,this.setDirty()},u.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();for(this.objects.length=0,t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},u.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},u.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},u.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},u.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},4437:function(t,e,r){\"use strict\";t.exports=function(t,e){t=t||document.body;var r=[.01,1/0];\"distanceLimits\"in(e=e||{})&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]),\"zoomMin\"in e&&(r[0]=e.zoomMin),\"zoomMax\"in e&&(r[1]=e.zoomMax);var u=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),c=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:u,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:u.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;u.idle(e-r),u.recalcMatrix(i),u.flush(e-(100+2*r));for(var a=!0,o=u.computedMatrix,s=0;s<16;++s)a=a&&c[s]===o[s],c[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(u.computedRadius[0]),!0)},lookAt:function(t,e,r){u.lookAt(u.lastT(),t,e,r)},rotate:function(t,e,r){u.rotate(u.lastT(),t,e,r)},pan:function(t,e,r){u.pan(u.lastT(),t,e,r)},translate:function(t,e,r){u.translate(u.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return u.computedMatrix},set:function(t){return u.setMatrix(u.lastT(),t),u.computedMatrix},enumerable:!0},mode:{get:function(){return u.getMode()},set:function(t){var e=u.computedUp.slice(),r=u.computedEye.slice(),i=u.computedCenter.slice();if(u.setMode(t),\"turntable\"===t){var a=n();u._active.lookAt(a,r,i,e),u._active.lookAt(a+500,r,i,[0,0,1]),u._active.flush(a)}return u.getMode()},enumerable:!0},center:{get:function(){return u.computedCenter},set:function(t){return u.lookAt(u.lastT(),null,t),u.computedCenter},enumerable:!0},eye:{get:function(){return u.computedEye},set:function(t){return u.lookAt(u.lastT(),t),u.computedEye},enumerable:!0},up:{get:function(){return u.computedUp},set:function(t){return u.lookAt(u.lastT(),null,null,t),u.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return u.setDistance(u.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return u.getDistanceLimits(r)},set:function(t){return u.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,c=\"zoom\"===o,h=!!a.control,p=!!a.alt,v=!!a.shift,g=!!(1&e),y=!!(2&e),m=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&g&&!h&&!p&&!v||g&&!h&&!p&&v)&&u.rotate(A,w*k*b,-T*k*_,0),(l&&g&&!h&&!p&&!v||y||g&&h&&!p&&!v)&&u.pan(A,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),c&&g&&!h&&!p&&!v||m||g&&!h&&p&&!v)){var M=-d.zoomSpeed*_/window.innerHeight*(A-u.lastT())*100;u.pan(A,0,0,f*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener(\"touchstart\",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener(\"touchmove\",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchend\",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))u.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-u.lastT())/20;u.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=r(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),u=r(7169),c=r(351),f=r(4772),h=r(4040),p=r(799),d=r(9216)({tablet:!0,featureDetect:!0});function v(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}return e>0?(r=Math.round(Math.pow(10,e)),Math.ceil(t/r)*r):Math.ceil(t)}function y(t){return\"boolean\"!=typeof t||t}t.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;e||(e=document.createElement(\"canvas\"),t.container?t.container.appendChild(e):document.body.appendChild(e));var r=t.gl;if(r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d})),!r)throw new Error(\"webgl not supported\");var m=t.bounds||[[-10,-10,-10],[10,10,10]],x=new v,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],O=!0,I=!0,z={view:null,projection:new Array(16),model:new Array(16),_ortho:!1},D=(I=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),R=t.cameraObject||n(e,T),F={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:R,axes:A,axesPixels:null,spikes:S,bounds:m,objects:E,shape: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:z,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,I=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},B=[r.drawingBufferWidth/F.pixelRatio|0,r.drawingBufferHeight/F.pixelRatio|0];function N(){if(!F._stopped&&F.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*F.pixelRatio),a=0|Math.ceil(n*F.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",O=!0}}}function j(){for(var t=E.length,e=P.length,n=0;n<e;++n)C[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,D);L[n]=e,P.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),P.pop().dispose()}function U(){if(F.contextLost)return!0;r.isContextLost()&&(F.contextLost=!0,F.mouseListener.enabled=!1,F.selection.object=null,F.oncontextloss&&F.oncontextloss())}F.autoResize&&N(),window.addEventListener(\"resize\",N),F.update=function(t){F._stopped||(t=t||{},O=!0,I=!0)},F.add=function(t){F._stopped||(t.axes=A,E.push(t),L.push(-1),O=!0,I=!0,j())},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),O=!0,I=!0,j())}},F.dispose=function(){if(!F._stopped&&(F._stopped=!0,window.removeEventListener(\"resize\",N),e.removeEventListener(\"webglcontextlost\",U),F.mouseListener.enabled=!1,!F.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();for(b.dispose(),t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,A=null,S=null,E=[]}},F._mouseRotating=!1,F._prevButtons=0,F.enableMouseListeners=function(){F.mouseListener=c(e,(function(t,e,r){if(!F._stopped){var n=P.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&F._prevButtons)F._mouseRotating=!0;else{F._mouseRotating&&(I=!0),F._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,B[1]-r-1,F.pickRadius);if(l){if(l.distance>x.distance)continue;for(var u=0;u<i;++u){var c=E[u];if(L[u]===s){var f=c.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=c,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),O=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),O=!0),(o=o||x.object!==a)&&F.onselect&&F.onselect(x),1&t&&!(1&F._prevButtons)&&F.onclick&&F.onclick(x),F._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",U);var V=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],q=[V[0].slice(),V[1].slice()];function H(){if(!U()){N();var t=F.camera.tick();z.view=F.camera.matrix,O=O||t,I=I||t,A.pixelRatio=F.pixelRatio,S.pixelRatio=F.pixelRatio;var e=E.length,n=V[0],i=V[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=F.pixelRatio,C.axes=F.axes,O=O||!!C.dirty,I=I||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],c=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],c[p])}var d=F.bounds;if(F.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var v=.05*(i[p]-n[p]);n[p]=n[p]-v,i[p]=i[p]+v}d[0][p]=n[p],d[1][p]=i[p]}var y=!1;for(p=0;p<3;++p)y=y||q[0][p]!==d[0][p]||q[1][p]!==d[1][p],q[0][p]=d[0][p],q[1][p]=d[1][p];if(I=I||y,O=O||y){if(y){var m=[0,0,0];for(o=0;o<3;++o)m[o]=g((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:m}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;for(D[0]=T,D[1]=k,B[0]=0|Math.max(T/F.pixelRatio,1),B[1]=0|Math.max(k/F.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,u=t.zFar,c=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,u),n._ortho=!0):(f(i,c,p,l,u),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var v=0;for(d=0;d<3;++d)v=Math.max(v,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/v,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(F,w),o=0;o<e;++o)(C=E[o]).axesBounds=d,F.clipToBounds&&(C.clipBounds=d);x.object&&(F.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),I&&(I=!1,function(){if(!U()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var i=P[n];i.shape=B,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(z))}i.end()}}}()),F.axesPixels=a(F.axes,z,T,k),F.onrender&&F.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),F.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;for(A.enable&&(M=M||A.isTransparent(),A.draw(z)),S.axes=A,x.object&&S.draw(z),r.disable(r.CULL_FACE),o=0;o<e;++o)(C=E[o]).axes=A,C.pixelRatio=F.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(z),C.isTransparent&&C.isTransparent()&&(M=!0);if(M){for(b.shape=D,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(z),o=0;o<e;++o)(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(z);for(r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(z),o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(z)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,u(r),r.disable(r.BLEND)}for(O=!1,o=0;o<e;++o)E[o].dirty=!1}}}return F.enableMouseListeners(),function t(){F._stopped||F.contextLost||(H(),requestAnimationFrame(t))}(),F.redraw=function(){F._stopped||(O=!0,H())},F},createCamera:n}},6640:function(t,e,r){var n=r(3236);e.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),e.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),e.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"]),e.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"])},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,u,c=s.prototype;c.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},c.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),u=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)u[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(u),i||a.free(l),o||a.free(u),this.pointCount=n,this.pickOffset=0},c.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],u=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),c=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=c<5,r.uniforms.pointSize=c,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(u[0]=255&t,u[1]=t>>8&255,u[2]=t>>16&255,u[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=u,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),c.draw=c.unifiedDraw,c.drawPick=c.unifiedDraw,c.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},783:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],f=e[2],h=e[3],p=r[0],d=r[1],v=r[2],g=r[3];return(a=u*p+c*d+f*v+h*g)<0&&(a=-a,p=-p,d=-d,v=-v,g=-g),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*u+l*p,t[1]=s*c+l*d,t[2]=s*f+l*v,t[3]=s*h+l*g,t}},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 u,c,f=n(t,s);if(r&&1!==r){for(u=0;u<l.positions.length;++u)for(c=0;c<l.positions[u].length;++c)l.positions[u][c]/=r;for(u=0;u<f.positions.length;++u)for(c=0;c<f.positions[u].length;++c)f.positions[u][c]/=r}var h=[[1/0,1/0],[-1/0,-1/0]],p=f.positions.length;for(u=0;u<p;++u){var d=f.positions[u];for(c=0;c<2;++c)h[0][c]=Math.min(h[0][c],d[c]),h[1][c]=Math.max(h[1][c],d[c])}return o[t]=[l,f,h]};var i={}},1283:function(t,e,r){var n=r(9405),i=r(3236),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),u=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),c=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],f={vertex:a,fragment:l,attributes:c},h={vertex:o,fragment:l,attributes:c},p={vertex:s,fragment:l,attributes:c},d={vertex:a,fragment:u,attributes:c},v={vertex:o,fragment:u,attributes:c},g={vertex:s,fragment:u,attributes:c};function y(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}e.createPerspective=function(t){return y(t,f)},e.createOrtho=function(t){return y(t,h)},e.createProject=function(t){return y(t,p)},e.createPickPerspective=function(t){return y(t,d)},e.createPickOrtho=function(t){return y(t,v)},e.createPickProject=function(t){return y(t,g)}},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),u=r(9366),c=r(5964),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function v(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,u,c,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=u,this.pickOrthoShader=c,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}t.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),u=l.createPickOrtho(e),c=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),v=new g(e,r,n,o,f,h,p,d,a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),s,u,c);return v.update(t),v};var y=g.prototype;y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},y.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var m=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function C(t,e,r,n,i,a,o){var l=r.gl;if((a===r.projectHasAlpha||o)&&function(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,u=r.model||f,c=r.view||f,h=r.projection||f,d=e.axesBounds,v=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],m[0]=2/o.drawingBufferWidth,m[1]=2/o.drawingBufferHeight,t.bind(),l.view=c,l.projection=h,l.screenSize=m,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=v,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var y=T,L=0;L<16;++L)y[L]=0;for(L=0;L<4;++L)y[5*L]=1;y[5*g]=0,i[g]<0?y[12+g]=d[0][g]:y[12+g]=d[1][g],s(y,u,y),l.model=y;var C=(g+1)%3,P=(g+2)%3,O=M(x),I=M(b);O[C]=1,I[P]=1;var z=p(0,0,0,S(_,O)),D=p(0,0,0,S(w,I));if(Math.abs(z[1])>Math.abs(D[1])){var R=z;z=D,D=R,R=O,O=I,I=R;var F=C;C=P,P=F}z[0]<0&&(O[C]=-1),D[1]>0&&(I[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(u[4*C+L],2),N+=Math.pow(u[4*P+L],2);O[C]/=Math.sqrt(B),I[P]/=Math.sqrt(N),l.axes[0]=O,l.axes[1]=I,l.fragClipBounds[0]=E(k,v[0],g,-1e8),l.fragClipBounds[1]=E(k,v[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}(e,r,n,i),a===r.hasAlpha||o){t.bind();var u=t.uniforms;u.model=n.model||f,u.view=n.view||f,u.projection=n.projection||f,m[0]=2/l.drawingBufferWidth,m[1]=2/l.drawingBufferHeight,u.screenSize=m,u.highlightId=r.highlightId,u.highlightScale=r.highlightScale,u.fragClipBounds=L,u.clipBounds=r.axes.bounds,u.opacity=r.opacity,u.pickGroup=r.pickId/255,u.pixelRatio=i,r.vao.bind(),r.vao.draw(l.TRIANGLES,r.vertexCount),r.lineWidth>0&&(l.lineWidth(r.lineWidth*i),r.vao.draw(l.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function P(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=c(a);var 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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 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* cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * view * tubePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},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;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},s=function(t,e,r){return t<e?e:t>r?r:t},l=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};t.exports=function(t,e){var r=t.startingPositions,u=t.maxLength||1e3,c=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||\"+x+y+z\",p={};-1!==h.indexOf(\"-x\")&&(p.reversedX=!0),-1!==h.indexOf(\"-y\")&&(p.reversedY=!0),-1!==h.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,l=t[0],u=t[1],c=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=o(a[0],l),v=o(a[1],u),g=o(a[2],c),y=d+1,m=v+1,x=g+1;if(d=s(d,0,f-1),y=s(y,0,f-1),v=s(v,0,h-1),m=s(m,0,h-1),g=s(g,0,p-1),x=s(x,0,p-1),d<0||v<0||g<0||y>f-1||m>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][y],E=a[1][v],L=a[1][m],C=a[2][g],P=(l-M)/(S-M),O=(u-E)/(L-E),I=(c-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(O)||(O=.5),isFinite(I)||(I=.5),r.reversedX&&(d=f-1-d,y=f-1-y),r.reversedY&&(v=h-1-v,m=h-1-m),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=v*p,T=m*p,b=d*p*h,_=y*p*h;break;case 4:k=g,A=x,b=d*p,_=y*p,w=v*p*f,T=m*p*f;break;case 3:w=v,T=m,k=g*h,A=x*h,b=d*h*p,_=y*h*p;break;case 2:w=v,T=m,b=d*h,_=y*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=y,k=g*f,A=x*f,w=v*f*p,T=m*f*p;break;default:b=d,_=y,w=v*f,T=m*f,k=g*f*h,A=x*f*h}var z=i[b+w+k],D=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(V,z,B,P),n.lerp(q,D,N,P),n.lerp(H,R,j,P),n.lerp(G,F,U,P);var W=n.create(),Y=n.create();n.lerp(W,V,H,O),n.lerp(Y,q,G,O);var X=n.create();return n.lerp(X,W,Y,I),X}(e,t,p)},v=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],y=e[0][0],m=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<y||e>b||r<m||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/u,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,u=0;u<s;u++){var c=t[u],f=c[0],h=c[1],p=c[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=l(e),v=l(r),g=l(n),y=Math.min(d,v,g);return isFinite(y)?y:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],O=[],I=d(C),z=C;O.push(I);var D=[],R=v(C,I),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),g.push({points:P,velocities:O,divergences:D});for(var B=0;B<100*u&&P.length<u&&T(C);){B++;var N=n.clone(I),j=n.squaredLength(N);if(0===j)break;j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),I=d(N),n.squaredDistance(z,N)-A>-1e-4*A&&(P.push(N),z=N,O.push(I),R=v(N,I),F=n.length(R),isFinite(F)&&F>S&&(S=F),D.push(F)),C=N}}var U=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,u=0;u<l.length;u++)o=Math.max(o,n.length(l[u]));var c=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,u=[],c=[],f=[],h=[],p=[],d=[],v=0,g=0,y=i.create(),m=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),g=n.length(_)/a,y=i.create(),n.copy(y,_),y[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var k=(T+1)%8;u.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(m,y,y,y,m,m),d.push(v,g,g,g,v,v);var A=u.length;c.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=m;m=y,y=S;var E=v;v=g,g=E}return{positions:u,cells:c,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<c.length;s++){var v=c[s],g=f.length;for(f=f.concat(v.positions),p=p.concat(v.vectors),d=d.concat(v.vertexIntensity),u=0;u<v.cells.length;u++){var y=v.cells[u],m=[];h.push(m);for(var x=0;x<y.length;x++)m.push(y[x]+g)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}}(g,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*c*M/S),U};var u=r(6740),c=r(6405).createMesh;t.exports.createTubeMesh=function(t,e){return c(t,e,{shaders:u,traceType:\"streamtube\"})}},990:function(t,e,r){var n=r(9405),i=r(3236),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n  vec4 clipPosition = projection * view * worldPosition;\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (\\n    kill > 0.0 ||\\n    vColor.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n  ) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color — in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);e.createShader=function(t){var e=n(t,a,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createPickShader=function(t){var e=n(t,a,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},e.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},9499:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=m(e),n=b(e),s=x(e),l=_(e),u=i(e),c=a(e,[{buffer:u,size:4,stride:w,offset:0},{buffer:u,size:3,stride:w,offset:16},{buffer:u,size:3,stride:w,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),v=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);v.minFilter=e.LINEAR,v.magFilter=e.LINEAR;var g=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,u,c,v,s,l,f,h,p,d,[0,0,0]),y={levels:[[],[],[]]};for(var T in t)y[T]=t[T];return y.colormap=y.colormap||\"jet\",g.update(y),g};var n=r(8828),i=r(2762),a=r(8116),o=r(7766),s=r(1888),l=r(6729),u=r(5298),c=r(9994),f=r(9618),h=r(3711),p=r(6760),d=r(7608),v=r(2478),g=r(6199),y=r(990),m=y.createShader,x=y.createContourShader,b=y.createPickShader,_=y.createPickContourShader,w=40,T=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],k=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],A=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function M(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=A[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var S=256;function E(t,e,r,n,i,a,o,l,u,c,h,p,d,v,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=v,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var L=E.prototype;L.genColormap=function(t,e){var r=!1,n=c([l({colormap:t,nshades:S,format:\"rgba\"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return u.divseq(n,255),this.hasAlphaScale=r,n},L.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},L.isOpaque=function(){return!this.isTransparent()},L.pickSlots=1,L.setPickBase=function(t){this.pickId=t};var C=[0,0,0],P={showSurface:!1,showContour:!1,projections:[T.slice(),T.slice(),T.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function O(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||C,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=P.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var u=P.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return P.showSurface=o,P.showContour=s,P}var I={model:T,view:T,projection:T,inverseModel:T.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},z=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=I;n.model=t.model||T,n.view=t.view||T,n.projection=t.projection||T,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=D,n.vertexColor=this.vertexColor;var s=z;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var u=s[12+i];for(o=0;o<3;++o)u+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=u/l}var c=O(n,this);if(c.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=c.projections[i],this._shader.uniforms.clipBounds=c.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(c.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=A[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=c.projections[i],f.uniforms.clipBounds=c.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=A[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var v=0;v<this.contourLevels[o].length;++v)v===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==v&&v-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][v]&&(f.uniforms.height=this.contourLevels[o][v],h.draw(r.LINES,this._contourCounts[o][v],this._contourOffsets[o][v]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=A[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=c.projections[o],f.uniforms.clipBounds=c.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}L.draw=function(t){return R.call(this,t,!1)},L.drawTransparent=function(t){return R.call(this,t,!0)};var F={model:T,view:T,projection:T,inverseModel:T,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function B(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function N(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function j(t){if(Array.isArray(t)){if(Array.isArray(t))return[N(t[0]),N(t[1]),N(t[2])];var e=N(t);return[e.slice(),e.slice(),e.slice()]}}L.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=F;r.model=t.model||T,r.view=t.view||T,r.projection=t.projection||T,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=D;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=O(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=A[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=A[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var u=0;u<this.contourLevels[a].length;++u)this._contourCounts[a][u]&&(s.uniforms.height=this.contourLevels[a][u],l.draw(e.LINES,this._contourCounts[a][u],this._contourOffsets[a][u]))}l.unbind()}},L.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var u=r.position;u[0]=u[1]=u[2]=0;for(var c=0;c<2;++c)for(var f=c?a:1-a,h=0;h<2;++h)for(var p=i+c,d=s+h,g=f*(h?l:1-l),y=0;y<3;++y)u[y]+=this._field[y].get(p,d)*g;for(var m=this._pickResult.level,x=0;x<3;++x)if(m[x]=v.le(this.contourLevels[x],u[x]),m[x]<0)this.contourLevels[x].length>0&&(m[x]=0);else if(m[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][m[x]],_=this.contourLevels[x][m[x]+1];Math.abs(b-u[x])>Math.abs(_-u[x])&&(m[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],y=0;y<3;++y)r.dataCoordinate[y]=this._field[y].get(r.index[0],r.index[1]);return r},L.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();u.assign(t.lo(1,1).hi(r[0],r[1]),e),u.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),u.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),u.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),u.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},L.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=B(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=B(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=B(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=j(t.contourColor)),\"contourProject\"in t&&(this.contourProject=B(t.contourProject,(function(t){return B(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=j(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=B(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=B(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0),\"colormap\"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var u=l[o];for(y=0;y<2;++y)if(u.shape[y]!==a[y])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],u)}}else if(t.ticks){var c=t.ticks;if(!Array.isArray(c)||2!==c.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=c[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var v=[0,0];v[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],v,0)}this._field[0].set(0,0,0);for(var y=0;y<a[0];++y)this._field[0].set(y+1,0,y);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),y=0;y<a[1];++y)this._field[1].set(0,y+1,y);this._field[1].set(0,a[1]+1,a[1]-1)}var m=this._field,x=f(s.mallocFloat(3*m[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),m[o],\"mirror\");var b=f(s.mallocFloat(3*m[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(y=0;y<a[1]+2;++y){var _=x.get(0,o,y,0),w=x.get(0,o,y,1),T=x.get(1,o,y,0),A=x.get(1,o,y,1),M=x.get(2,o,y,0),S=x.get(2,o,y,1),E=T*S-A*M,L=M*w-S*_,C=_*A-w*T,P=Math.sqrt(E*E+L*L+C*C);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,y,0,E*P),b.set(o,y,1,L*P),b.set(o,y,2,C*P)}s.free(x.data);var O=[1/0,1/0,1/0],I=[-1/0,-1/0,-1/0],z=1/0,D=-1/0,R=(a[0]-1)*(a[1]-1)*6,F=s.mallocFloat(n.nextPow2(10*R)),N=0,U=0;for(o=0;o<a[0]-1;++o)t:for(y=0;y<a[1]-1;++y){for(var V=0;V<2;++V)for(var q=0;q<2;++q)for(var H=0;H<3;++H){var G=this._field[H].get(1+o+V,1+y+q);if(isNaN(G)||!isFinite(G))continue t}for(H=0;H<6;++H){var W=o+k[H][0],Y=y+k[H][1],X=this._field[0].get(W+1,Y+1),Z=this._field[1].get(W+1,Y+1);G=this._field[2].get(W+1,Y+1),E=b.get(W+1,Y+1,0),L=b.get(W+1,Y+1,1),C=b.get(W+1,Y+1,2),t.intensity&&(K=t.intensity.get(W,Y));var K=t.intensity?t.intensity.get(W,Y):G+this.objectOffset[2];F[N++]=W,F[N++]=Y,F[N++]=X,F[N++]=Z,F[N++]=G,F[N++]=0,F[N++]=K,F[N++]=E,F[N++]=L,F[N++]=C,O[0]=Math.min(O[0],X+this.objectOffset[0]),O[1]=Math.min(O[1],Z+this.objectOffset[1]),O[2]=Math.min(O[2],G+this.objectOffset[2]),z=Math.min(z,K),I[0]=Math.max(I[0],X+this.objectOffset[0]),I[1]=Math.max(I[1],Z+this.objectOffset[1]),I[2]=Math.max(I[2],G+this.objectOffset[2]),D=Math.max(D,K),U+=1}}for(t.intensityBounds&&(z=+t.intensityBounds[0],D=+t.intensityBounds[1]),o=6;o<N;o+=10)F[o]=(F[o]-z)/(D-z);this._vertexCount=U,this._coordinateBuffer.update(F.subarray(0,N)),s.freeFloat(F),s.free(b.data),this.bounds=[O,I],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===z&&this.intensityBounds[1]===D||(r=!0),this.intensityBounds=[z,D]}if(\"levels\"in t){var J=t.levels;for(J=Array.isArray(J[0])?J.slice():[[],[],J],o=0;o<3;++o)J[o]=J[o].slice(),J[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(y=0;y<J[o].length;++y)J[o][y]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(J[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;y<J[o].length;++y)if(J[o][y]!==this.contourLevels[o][y]){r=!0;break t}}this.contourLevels=J}if(r){m=this._field,a=this.shape;for(var $=[],Q=0;Q<3;++Q){var tt=this.contourLevels[Q],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[Q],tt[o]);et.push($.length/5|0),U=0;t:for(y=0;y<it.cells.length;++y){var at=it.cells[y];for(H=0;H<2;++H){var ot=it.positions[at[H]],st=ot[0],lt=0|Math.floor(st),ut=st-lt,ct=ot[1],ft=0|Math.floor(ct),ht=ct-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var vt=(Q+dt+1)%3;for(V=0;V<2;++V){var gt=V?ut:1-ut;for(W=0|Math.min(Math.max(lt+V,0),a[0]),q=0;q<2;++q){var yt=q?ht:1-ht;if(Y=0|Math.min(Math.max(ft+q,0),a[1]),G=dt<2?this._field[vt].get(W,Y):(this.intensity.get(W,Y)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var mt=gt*yt;nt[dt]+=mt*G}}}if(pt){if(H>0){for(var xt=0;xt<5;++xt)$.pop();U-=1}continue t}$.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[Q]=et,this._contourCounts[Q]=rt}var bt=s.mallocFloat($.length);for(o=0;o<$.length;++o)bt[o]=$[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},L.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},L.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,u=(o+2)%3,c=this._field[o],f=this._field[l],p=this._field[u],d=h(c,r[o]),v=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<v.length;++e)for(var y=v[e],m=0;m<2;++m){var x=g[y[m]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),T=b-_,k=1-T,A=+x[1],M=0|A,S=0|Math.min(M+1,i[1]),E=A-M,L=1-E,C=k*L,P=k*E,O=T*L,I=T*E,z=C*f.get(_,M)+P*f.get(_,S)+O*f.get(w,M)+I*f.get(w,S),D=C*p.get(_,M)+P*p.get(_,S)+O*p.get(w,M)+I*p.get(w,S);if(isNaN(z)||isNaN(D)){m&&(n-=1);break}a[2*n+0]=z,a[2*n+1]=D,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},7766:function(t,e,r){\"use strict\";var n=r(9618),i=r(5298),a=r(1888);t.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");if(o||function(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}(t),\"number\"==typeof arguments[1])return g(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return g(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return function(t,e,r,n,i,a){var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new h(t,o,r,n,i,a)}(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return function(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=d(o,e.stride.slice()),u=0;\"float32\"===r?u=t.FLOAT:\"float64\"===r?(u=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?u=t.UNSIGNED_BYTE:(u=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var f,p,g=0;if(2===o.length)g=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])g=t.ALPHA;else if(2===o[2])g=t.LUMINANCE_ALPHA;else if(3===o[2])g=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");g=t.RGBA}}u!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(u=t.UNSIGNED_BYTE,l=!1);var y=e.size;if(l)f=0===e.offset&&e.data.length===y?e.data:e.data.subarray(e.offset,e.offset+y);else{var m=[o[2],o[2]*o[0],1];p=a.malloc(y,r);var x=n(p,o,m,0);\"float32\"!==r&&\"float64\"!==r||u!==t.UNSIGNED_BYTE?i.assign(x,e):c(x,e),f=p.subarray(0,y)}var b=v(t);return t.texImage2D(t.TEXTURE_2D,0,g,o[0],o[1],0,g,u,f),l||a.free(p),new h(t,b,o[0],o[1],g,u)}(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function u(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var c=function(t,e){i.muls(t,e,255)};function f(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function h(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var p=h.prototype;function d(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function v(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function g(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture shape\");if(i===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new h(t,o,e,r,n,i)}Object.defineProperties(p,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error(\"gl-texture2d: Invalid texture shape\")}else t=[0|t,0|t];return f(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return f(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,f(this,this._shape[0],t),t}}}),p.bind=function(t){var e=this.gl;return void 0!==t&&e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},p.dispose=function(){this.gl.deleteTexture(this.handle)},p.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},p.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var l=u(t)?t:t.raw;if(l)this._mipLevels.indexOf(o)<0?(s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,this.type,l),this._mipLevels.push(o)):s.texSubImage2D(s.TEXTURE_2D,o,e,r,this.format,this.type,l);else{if(!(t.shape&&t.stride&&t.data))throw new Error(\"gl-texture2d: Unsupported data type\");if(t.shape.length<2||e+t.shape[1]>this._shape[1]>>>o||r+t.shape[0]>this._shape[0]>>>o||e<0||r<0)throw new Error(\"gl-texture2d: Texture dimensions are out of bounds\");!function(t,e,r,o,s,l,u,f){var h=f.dtype,p=f.shape.slice();if(p.length<2||p.length>3)throw new Error(\"gl-texture2d: Invalid ndarray, must be 2d or 3d\");var v=0,g=0,y=d(p,f.stride.slice());if(\"float32\"===h?v=t.FLOAT:\"float64\"===h?(v=t.FLOAT,y=!1,h=\"float32\"):\"uint8\"===h?v=t.UNSIGNED_BYTE:(v=t.UNSIGNED_BYTE,y=!1,h=\"uint8\"),2===p.length)g=t.LUMINANCE,p=[p[0],p[1],1],f=n(f.data,p,[f.stride[0],f.stride[1],1],f.offset);else{if(3!==p.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===p[2])g=t.ALPHA;else if(2===p[2])g=t.LUMINANCE_ALPHA;else if(3===p[2])g=t.RGB;else{if(4!==p[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");g=t.RGBA}p[2]}if(g!==t.LUMINANCE&&g!==t.ALPHA||s!==t.LUMINANCE&&s!==t.ALPHA||(g=s),g!==s)throw new Error(\"gl-texture2d: Incompatible texture format for setPixels\");var m=f.size,x=u.indexOf(o)<0;if(x&&u.push(o),v===l&&y)0===f.offset&&f.data.length===m?x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,f.data):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,f.data):x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,f.data.subarray(f.offset,f.offset+m)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,f.data.subarray(f.offset,f.offset+m));else{var b;b=l===t.FLOAT?a.mallocFloat32(m):a.mallocUint8(m);var 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i=this.computedMatrix,a=(Math.exp(this.computedRadius[0]),i[1]),o=i[5],s=i[9],l=u(a,o,s);a/=l,o/=l,s/=l;var c=i[0],f=i[4],h=i[8],p=c*a+f*o+h*s,d=u(c-=a*p,f-=o*p,h-=s*p),v=(c/=d)*e+a*r,g=(f/=d)*e+o*r,y=(h/=d)*e+s*r;this.center.move(t,v,g,y);var m=Math.exp(this.computedRadius[0]);m=Math.max(1e-4,m+n),this.radius.set(t,Math.log(m))},p.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},p.setMatrix=function(t,e,r,n){var a=1;\"number\"==typeof r&&(a=0|r),(a<0||a>3)&&(a=1);var o=(a+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var s=e[a],l=e[a+4],f=e[a+8];if(n){var h=Math.abs(s),p=Math.abs(l),d=Math.abs(f),v=Math.max(h,p,d);h===v?(s=s<0?-1:1,l=f=0):d===v?(f=f<0?-1:1,s=l=0):(l=l<0?-1:1,s=f=0)}else{var g=u(s,l,f);s/=g,l/=g,f/=g}var y,m,x=e[o],b=e[o+4],_=e[o+8],w=x*s+b*l+_*f,T=u(x-=s*w,b-=l*w,_-=f*w),k=l*(_/=T)-f*(b/=T),A=f*(x/=T)-s*_,M=s*b-l*x,S=u(k,A,M);if(k/=S,A/=S,M/=S,this.center.jump(t,H,G,W),this.radius.idle(t),this.up.jump(t,s,l,f),this.right.jump(t,x,b,_),2===a){var 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Sr=function(t,e){this.type=Xt,this.needle=t,this.haystack=e};Sr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Jt),n=e.parse(t[2],2,Jt);return r&&n?ae(r.type,[Xt,Yt,Wt,Gt,Jt])?new Sr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(r.type)+\" instead\"):null},Sr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!oe(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new xe(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(ge(e))+\" instead.\");if(!oe(r,[\"string\",\"array\"]))throw new xe(\"Expected second argument to be of type array or string, but found \"+re(ge(r))+\" instead.\");return 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e={color:Zt,string:Yt,number:Wt,enum:Yt,boolean:Xt,formatted:Qt,resolvedImage:te};return\"array\"===t.type?ee(e[t.value]||Jt,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?Xr(new un(n,e)):Zr(r.errors)}un.prototype.evaluateWithoutErrorHandling=function(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)},un.prototype.evaluate=function(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{var o=this.expression.evaluate(this._evaluator);if(null==o||\"number\"==typeof o&&o!=o)return this._defaultValue;if(this._enumValues&&!(o in this._enumValues))throw new xe(\"Expected value to be one of \"+Object.keys(this._enumValues).map((function(t){return JSON.stringify(t)})).join(\", \")+\", but found \"+JSON.stringify(o)+\" instead.\");return o}catch(t){return this._warningHistory[t.message]||(this._warningHistory[t.message]=!0,\"undefined\"!=typeof console&&console.warn(t.message)),this._defaultValue}};var hn=function(t,e){this.kind=t,this._styleExpression=e,this.isStateDependent=\"constant\"!==t&&!Xe(e.expression)};hn.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},hn.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&&!Xe(e.expression),this.interpolationType=n};function dn(t,e){if(\"error\"===(t=fn(t,e)).result)return t;var r=t.value.expression,n=Ye(r);if(!n&&!Kr(e))return Zr([new qt(\"\",\"data expressions not supported\")]);var i=Ze(r,[\"zoom\"]);if(!i&&!Jr(e))return Zr([new qt(\"\",\"zoom expressions not supported\")]);var a=gn(r);if(!a&&!i)return Zr([new qt(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.')]);if(a instanceof qt)return Zr([a]);if(a instanceof wr&&!$r(e))return Zr([new qt(\"\",'\"interpolate\" expressions cannot be used with this property')]);if(!a)return Xr(new hn(n?\"constant\":\"source\",t.value));var o=a instanceof wr?a.interpolation:void 0;return Xr(new pn(n?\"camera\":\"composite\",t.value,a.labels,o))}pn.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},pn.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)},pn.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?wr.interpolationFactor(this.interpolationType,t,e,r):0};var vn=function(t,e){this._parameters=t,this._specification=e,jt(this,rn(this._parameters,this._specification))};function gn(t){var e=null;if(t instanceof Ar)e=gn(t.result);else if(t instanceof kr)for(var r=0,n=t.args;r<n.length;r+=1){var i=n[r];if(e=gn(i))break}else(t instanceof tr||t instanceof wr)&&t.input instanceof Ee&&\"zoom\"===t.input.name&&(e=t);return e instanceof qt||t.eachChild((function(t){var r=gn(t);r instanceof qt?e=r:!e&&r?e=new qt(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.'):e&&r&&e!==r&&(e=new qt(\"\",'Only one zoom-based \"step\" or \"interpolate\" subexpression may be used in an expression.'))})),e}function yn(t){var e=t.key,r=t.value,n=t.valueSpec||{},i=t.objectElementValidators||{},a=t.style,o=t.styleSpec,s=[],l=Qr(r);if(\"object\"!==l)return[new Bt(e,r,\"object expected, \"+l+\" found\")];for(var u in r){var c=u.split(\".\")[0],f=n[c]||n[\"*\"],h=void 0;if(i[c])h=i[c];else if(n[c])h=Hn;else if(i[\"*\"])h=i[\"*\"];else{if(!n[\"*\"]){s.push(new Bt(e,r[u],'unknown property \"'+u+'\"'));continue}h=Hn}s=s.concat(h({key:(e?e+\".\":e)+u,value:r[u],valueSpec:f,style:a,styleSpec:o,object:r,objectKey:u},r))}for(var p in n)i[p]||n[p].required&&void 0===n[p].default&&void 0===r[p]&&s.push(new Bt(e,r,'missing required property \"'+p+'\"'));return s}function mn(t){var e=t.value,r=t.valueSpec,n=t.style,i=t.styleSpec,a=t.key,o=t.arrayElementValidator||Hn;if(\"array\"!==Qr(e))return[new Bt(a,e,\"array expected, \"+Qr(e)+\" found\")];if(r.length&&e.length!==r.length)return[new Bt(a,e,\"array length \"+r.length+\" expected, length \"+e.length+\" found\")];if(r[\"min-length\"]&&e.length<r[\"min-length\"])return[new Bt(a,e,\"array length at least \"+r[\"min-length\"]+\" expected, length \"+e.length+\" found\")];var s={type:r.value,values:r.values};i.$version<7&&(s.function=r.function),\"object\"===Qr(r.value)&&(s=r.value);for(var l=[],u=0;u<e.length;u++)l=l.concat(o({array:e,arrayIndex:u,value:e[u],valueSpec:s,style:n,styleSpec:i,key:a+\"[\"+u+\"]\"}));return l}function xn(t){var e=t.key,r=t.value,n=t.valueSpec,i=Qr(r);return\"number\"===i&&r!=r&&(i=\"NaN\"),\"number\"!==i?[new Bt(e,r,\"number expected, \"+i+\" found\")]:\"minimum\"in n&&r<n.minimum?[new Bt(e,r,r+\" is less than the minimum value \"+n.minimum)]:\"maximum\"in n&&r>n.maximum?[new Bt(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function bn(t){var e,r,n,i=t.valueSpec,a=Ut(t.value.type),o={},s=\"categorical\"!==a&&void 0===t.value.property,l=!s,u=\"array\"===Qr(t.value.stops)&&\"array\"===Qr(t.value.stops[0])&&\"object\"===Qr(t.value.stops[0][0]),c=yn({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===a)return[new Bt(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],r=t.value;return e=e.concat(mn({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:f})),\"array\"===Qr(r)&&0===r.length&&e.push(new Bt(t.key,r,\"array must have at least one stop\")),e},default:function(t){return Hn({key:t.key,value:t.value,valueSpec:i,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===a&&s&&c.push(new Bt(t.key,t.value,'missing required property \"property\"')),\"identity\"===a||t.value.stops||c.push(new Bt(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===a&&t.valueSpec.expression&&!$r(t.valueSpec)&&c.push(new Bt(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!Kr(t.valueSpec)?c.push(new Bt(t.key,t.value,\"property functions not supported\")):s&&!Jr(t.valueSpec)&&c.push(new Bt(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==a&&!u||void 0!==t.value.property||c.push(new Bt(t.key,t.value,'\"property\" property is required')),c;function f(t){var e=[],a=t.value,s=t.key;if(\"array\"!==Qr(a))return[new Bt(s,a,\"array expected, \"+Qr(a)+\" found\")];if(2!==a.length)return[new Bt(s,a,\"array length 2 expected, length \"+a.length+\" found\")];if(u){if(\"object\"!==Qr(a[0]))return[new Bt(s,a,\"object expected, \"+Qr(a[0])+\" found\")];if(void 0===a[0].zoom)return[new Bt(s,a,\"object stop key must have zoom\")];if(void 0===a[0].value)return[new Bt(s,a,\"object stop key must have value\")];if(n&&n>Ut(a[0].zoom))return[new Bt(s,a[0].zoom,\"stop zoom values must appear in ascending order\")];Ut(a[0].zoom)!==n&&(n=Ut(a[0].zoom),r=void 0,o={}),e=e.concat(yn({key:s+\"[0]\",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:xn,value:h}}))}else e=e.concat(h({key:s+\"[0]\",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return cn(Vt(a[1]))?e.concat([new Bt(s+\"[1]\",a[1],\"expressions are not allowed in function stops.\")]):e.concat(Hn({key:s+\"[1]\",value:a[1],valueSpec:i,style:t.style,styleSpec:t.styleSpec}))}function h(t,n){var s=Qr(t.value),l=Ut(t.value),u=null!==t.value?t.value:n;if(e){if(s!==e)return[new Bt(t.key,u,s+\" stop domain type must match previous stop domain type \"+e)]}else e=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return[new Bt(t.key,u,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==a){var c=\"number expected, \"+s+\" found\";return Kr(i)&&void 0===a&&(c+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new Bt(t.key,u,c)]}return\"categorical\"!==a||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==a&&\"number\"===s&&void 0!==r&&l<r?[new Bt(t.key,u,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===a&&l in o?[new Bt(t.key,u,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new Bt(t.key,u,\"integer expected, found \"+l)]}}function _n(t){var e=(\"property\"===t.expressionContext?dn:fn)(Vt(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map((function(e){return new Bt(\"\"+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if(\"property\"===t.expressionContext&&\"text-font\"===t.propertyKey&&!r.outputDefined())return[new Bt(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&&!Xe(r))return[new Bt(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!Xe(r))return[new Bt(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!Ze(r,[\"zoom\",\"feature-state\"]))return[new Bt(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!Ye(r))return[new Bt(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function wn(t){var e=t.key,r=t.value,n=t.valueSpec,i=[];return Array.isArray(n.values)?-1===n.values.indexOf(Ut(r))&&i.push(new Bt(e,r,\"expected one of [\"+n.values.join(\", \")+\"], \"+JSON.stringify(r)+\" found\")):-1===Object.keys(n.values).indexOf(Ut(r))&&i.push(new Bt(e,r,\"expected one of [\"+Object.keys(n.values).join(\", \")+\"], \"+JSON.stringify(r)+\" found\")),i}function Tn(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]&&\"$type\"!==t[1];case\"in\":return t.length>=3&&(\"string\"!=typeof t[1]||Array.isArray(t[2]));case\"!in\":case\"!has\":case\"none\":return!1;case\"==\":case\"!=\":case\">\":case\">=\":case\"<\":case\"<=\":return 3!==t.length||Array.isArray(t[1])||Array.isArray(t[2]);case\"any\":case\"all\":for(var e=0,r=t.slice(1);e<r.length;e+=1){var n=r[e];if(!Tn(n)&&\"boolean\"!=typeof n)return!1}return!0;default:return!0}}vn.deserialize=function(t){return new vn(t._parameters,t._specification)},vn.serialize=function(t){return{_parameters:t._parameters,_specification:t._specification}};var kn={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function An(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};Tn(t)||(t=En(t));var e=fn(t,kn);if(\"error\"===e.result)throw new Error(e.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:Sn(t)}}function Mn(t,e){return t<e?-1:t>e?1:0}function Sn(t){if(!Array.isArray(t))return!1;if(\"within\"===t[0])return!0;for(var e=1;e<t.length;e++)if(Sn(t[e]))return!0;return!1}function En(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?Ln(t[1],t[2],\"==\"):\"!=\"===r?On(Ln(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?Ln(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(En))):\"all\"===r?[\"all\"].concat(t.slice(1).map(En)):\"none\"===r?[\"all\"].concat(t.slice(1).map(En).map(On)):\"in\"===r?Cn(t[1],t.slice(2)):\"!in\"===r?On(Cn(t[1],t.slice(2))):\"has\"===r?Pn(t[1]):\"!has\"===r?On(Pn(t[1])):\"within\"!==r||t}function Ln(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function Cn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(Mn)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function Pn(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function On(t){return[\"!\",t]}function In(t){return Tn(Vt(t.value))?_n(jt({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):zn(t)}function zn(t){var e=t.value,r=t.key;if(\"array\"!==Qr(e))return[new Bt(r,e,\"array expected, \"+Qr(e)+\" found\")];var n,i=t.styleSpec,a=[];if(e.length<1)return[new Bt(r,e,\"filter array must have at least 1 element\")];switch(a=a.concat(wn({key:r+\"[0]\",value:e[0],valueSpec:i.filter_operator,style:t.style,styleSpec:t.styleSpec})),Ut(e[0])){case\"<\":case\"<=\":case\">\":case\">=\":e.length>=2&&\"$type\"===Ut(e[1])&&a.push(new Bt(r,e,'\"$type\" cannot be use with operator \"'+e[0]+'\"'));case\"==\":case\"!=\":3!==e.length&&a.push(new Bt(r,e,'filter array for operator \"'+e[0]+'\" must have 3 elements'));case\"in\":case\"!in\":e.length>=2&&\"string\"!==(n=Qr(e[1]))&&a.push(new Bt(r+\"[1]\",e[1],\"string expected, \"+n+\" found\"));for(var o=2;o<e.length;o++)n=Qr(e[o]),\"$type\"===Ut(e[1])?a=a.concat(wn({key:r+\"[\"+o+\"]\",value:e[o],valueSpec:i.geometry_type,style:t.style,styleSpec:t.styleSpec})):\"string\"!==n&&\"number\"!==n&&\"boolean\"!==n&&a.push(new Bt(r+\"[\"+o+\"]\",e[o],\"string, number, or boolean expected, \"+n+\" found\"));break;case\"any\":case\"all\":case\"none\":for(var s=1;s<e.length;s++)a=a.concat(zn({key:r+\"[\"+s+\"]\",value:e[s],style:t.style,styleSpec:t.styleSpec}));break;case\"has\":case\"!has\":n=Qr(e[1]),2!==e.length?a.push(new Bt(r,e,'filter array for \"'+e[0]+'\" operator must have 2 elements')):\"string\"!==n&&a.push(new Bt(r+\"[1]\",e[1],\"string expected, \"+n+\" found\"));break;case\"within\":n=Qr(e[1]),2!==e.length?a.push(new Bt(r,e,'filter array for \"'+e[0]+'\" operator must have 2 elements')):\"object\"!==n&&a.push(new Bt(r+\"[1]\",e[1],\"object expected, \"+n+\" found\"))}return a}function Dn(t,e){var r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return Hn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var u,c=t.valueSpec||s[o];if(!c)return[new Bt(r,a,'unknown property \"'+o+'\"')];if(\"string\"===Qr(a)&&Kr(c)&&!c.tokens&&(u=/^{([^}]+)}$/.exec(a)))return[new Bt(r,a,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(u[1])+\" }`.\")];var f=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&f.push(new Bt(r,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&tn(Vt(a))&&\"identity\"===Ut(a.type)&&f.push(new Bt(r,a,'\"text-font\" does not support identity 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h=i.sources&&i.sources[r.source],p=h&&Ut(h.type);h?\"vector\"===p&&\"raster\"===s?e.push(new Bt(n,r.source,'layer \"'+r.id+'\" requires a raster source')):\"raster\"===p&&\"raster\"!==s?e.push(new Bt(n,r.source,'layer \"'+r.id+'\" requires a vector source')):\"vector\"!==p||r[\"source-layer\"]?\"raster-dem\"===p&&\"hillshade\"!==s?e.push(new Bt(n,r.source,\"raster-dem source can only be used with layer type 'hillshade'.\")):\"line\"!==s||!r.paint||!r.paint[\"line-gradient\"]||\"geojson\"===p&&h.lineMetrics||e.push(new Bt(n,r,'layer \"'+r.id+'\" specifies a line-gradient, which requires a GeoJSON source with `lineMetrics` enabled.')):e.push(new Bt(n,r,'layer \"'+r.id+'\" must specify a \"source-layer\"')):e.push(new Bt(n,r.source,'source \"'+r.source+'\" not found'))}else e.push(new Bt(n,r,'missing required property \"source\"'));return 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Arrows\"](t)&&(t>=11026&&t<=11055||t>=11088&&t<=11097||t>=11192&&t<=11243)||pi[\"CJK Symbols and Punctuation\"](t)||pi.Katakana(t)||pi[\"Private Use Area\"](t)||pi[\"CJK Compatibility Forms\"](t)||pi[\"Small Form Variants\"](t)||pi[\"Halfwidth and Fullwidth Forms\"](t)||8734===t||8756===t||8757===t||t>=9984&&t<=10087||t>=10102&&t<=10131||65532===t||65533===t)}(t))}function yi(t){return pi.Arabic(t)||pi[\"Arabic Supplement\"](t)||pi[\"Arabic Extended-A\"](t)||pi[\"Arabic Presentation Forms-A\"](t)||pi[\"Arabic Presentation Forms-B\"](t)}function mi(t){return t>=1424&&t<=2303||pi[\"Arabic Presentation Forms-A\"](t)||pi[\"Arabic Presentation Forms-B\"](t)}function xi(t,e){return!(!e&&mi(t)||t>=2304&&t<=3583||t>=3840&&t<=4255||pi.Khmer(t))}function bi(t){for(var e=0,r=t;e<r.length;e+=1)if(mi(r[e].charCodeAt(0)))return!0;return!1}var _i=\"deferred\",wi=\"loading\",Ti=\"loaded\",ki=\"error\",Ai=null,Mi=\"unavailable\",Si=null,Ei=function(t){t&&\"string\"==typeof t&&t.indexOf(\"NetworkError\")>-1&&(Mi=ki),Ai&&Ai(t)};function Li(){Ci.fire(new zt(\"pluginStateChange\",{pluginStatus:Mi,pluginURL:Si}))}var Ci=new Rt,Pi=function(){return Mi},Oi=function(){if(Mi!==_i||!Si)throw new Error(\"rtl-text-plugin cannot be downloaded unless a pluginURL is specified\");Mi=wi,Li(),Si&&Mt({url:Si},(function(t){t?Ei(t):(Mi=Ti,Li())}))},Ii={applyArabicShaping:null,processBidirectionalText:null,processStyledBidirectionalText:null,isLoaded:function(){return Mi===Ti||null!=Ii.applyArabicShaping},isLoading:function(){return Mi===wi},setState:function(t){Mi=t.pluginStatus,Si=t.pluginURL},isParsed:function(){return null!=Ii.applyArabicShaping&&null!=Ii.processBidirectionalText&&null!=Ii.processStyledBidirectionalText},getPluginURL:function(){return Si}},zi=function(t,e){this.zoom=t,e?(this.now=e.now,this.fadeDuration=e.fadeDuration,this.zoomHistory=e.zoomHistory,this.transition=e.transition):(this.now=0,this.fadeDuration=0,this.zoomHistory=new hi,this.transition={})};zi.prototype.isSupportedScript=function(t){return function(t,e){for(var r=0,n=t;r<n.length;r+=1)if(!xi(n[r].charCodeAt(0),e))return!1;return!0}(t,Ii.isLoaded())},zi.prototype.crossFadingFactor=function(){return 0===this.fadeDuration?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)},zi.prototype.getCrossfadeParameters=function(){var 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}};var Di=function(t,e){this.property=t,this.value=e,this.expression=function(t,e){if(tn(t))return new vn(t,e);if(cn(t)){var r=dn(t,e);if(\"error\"===r.result)throw new Error(r.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return r.value}var n=t;return\"string\"==typeof t&&\"color\"===e.type&&(n=ue.parse(t)),{kind:\"constant\",evaluate:function(){return n}}}(void 0===e?t.specification.default:e,t.specification)};Di.prototype.isDataDriven=function(){return\"source\"===this.expression.kind||\"composite\"===this.expression.kind},Di.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var Ri=function(t){this.property=t,this.value=new Di(t,void 0)};Ri.prototype.transitioned=function(t,e){return new Bi(this.property,this.value,e,p({},t.transition,this.transition),t.now)},Ri.prototype.untransitioned=function(){return new Bi(this.property,this.value,null,{},0)};var Fi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};Fi.prototype.getValue=function(t){return w(this._values[t].value.value)},Fi.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ri(this._values[t].property)),this._values[t].value=new Di(this._values[t].property,null===e?void 0:w(e))},Fi.prototype.getTransition=function(t){return w(this._values[t].transition)},Fi.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ri(this._values[t].property)),this._values[t].transition=w(e)||void 0},Fi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i);var a=this.getTransition(n);void 0!==a&&(t[n+\"-transition\"]=a)}return t},Fi.prototype.transitioned=function(t,e){for(var r=new Ni(this._properties),n=0,i=Object.keys(this._values);n<i.length;n+=1){var a=i[n];r._values[a]=this._values[a].transitioned(t,e._values[a])}return r},Fi.prototype.untransitioned=function(){for(var t=new Ni(this._properties),e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e];t._values[n]=this._values[n].untransitioned()}return t};var Bi=function(t,e,r,n,i){this.property=t,this.value=e,this.begin=i+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};Bi.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,i=this.value.possiblyEvaluate(t,e,r),a=this.prior;if(a){if(n>this.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n<this.begin)return a.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,r),i,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var Ni=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};Ni.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Vi(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},Ni.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1){var r=e[t];if(this._values[r].prior)return!0}return!1};var ji=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};ji.prototype.getValue=function(t){return w(this._values[t].value)},ji.prototype.setValue=function(t,e){this._values[t]=new Di(this._values[t].property,null===e?void 0:w(e))},ji.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},ji.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Vi(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var Ui=function(t,e,r){this.property=t,this.value=e,this.parameters=r};Ui.prototype.isConstant=function(){return\"constant\"===this.value.kind},Ui.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},Ui.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var Vi=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};Vi.prototype.get=function(t){return this._values[t]};var qi=function(t){this.specification=t};qi.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},qi.prototype.interpolate=function(t,e,r){var n=rr[this.specification.type];return n?n(t,e,r):t};var Hi=function(t,e){this.specification=t,this.overrides=e};Hi.prototype.possiblyEvaluate=function(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new Ui(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new Ui(this,t.expression,e)},Hi.prototype.interpolate=function(t,e,r){if(\"constant\"!==t.value.kind||\"constant\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new Ui(this,{kind:\"constant\",value:void 0},t.parameters);var n=rr[this.specification.type];return n?new Ui(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},Hi.prototype.evaluate=function(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new Ui(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n),a=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new Ui(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new Ui(this,{kind:\"constant\",value:s},e)}return new Ui(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,i,a){if(\"source\"===t.kind){var o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Hi),Wi=function(t){this.specification=t};Wi.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return 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Vi(r.paint)}}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".layout.\"+t;if(this._validate($n,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return x(t,Zi)?this._transitionablePaint.getTransition(t.slice(0,-11)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".paint.\"+t;if(this._validate(Jn,n,t,e,r))return!1}if(x(t,Zi))return this._transitionablePaint.setTransition(t.slice(0,-11),e||void 0),!1;var i=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===i.property.specification[\"property-type\"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),_(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&Qn(this,t.call(Zn,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Ft,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof Ui&&Kr(e.property.specification)&&(\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent)return!0}return!1},e}(Rt),Ji={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},$i=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Qi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function ta(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Ji[i].BYTES_PER_ELEMENT),o=r=ea(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:ea(r,Math.max(n,e)),alignment:e}}function ea(t,e){return Math.ceil(t/e)*e}Qi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Qi.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Qi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Qi.prototype.clear=function(){this.length=0},Qi.prototype.resize=function(t){this.reserve(t),this.length=t},Qi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Qi.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var ra=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Qi);ra.prototype.bytesPerElement=4,oi(\"StructArrayLayout2i4\",ra);var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new 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this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Qi);ia.prototype.bytesPerElement=12,oi(\"StructArrayLayout2i4i12\",ia);var aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Qi);aa.prototype.bytesPerElement=8,oi(\"StructArrayLayout2i4ub8\",aa);var oa=function(t){function e(){t.apply(this,arguments)}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}($i);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 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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=t;s<e;s++)this.paintVertexArray.emplace(s,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}},so.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},so.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},so.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=f(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},so.prototype.getBinding=function(t,e,r){return new Ka(t,e)};var lo=function(t,e,r,n,i,a){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=a,this.zoomInPaintVertexArray=new i,this.zoomOutPaintVertexArray=new i};lo.prototype.populatePaintArray=function(t,e,r){var n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)},lo.prototype.updatePaintArray=function(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)},lo.prototype._setPaintValues=function(t,e,r,n){if(n&&r){var i=r.min,a=r.mid,o=r.max,s=n[i],l=n[a],u=n[o];if(s&&l&&u)for(var c=t;c<e;c++)this.zoomInPaintVertexArray.emplace(c,l.tl[0],l.tl[1],l.br[0],l.br[1],s.tl[0],s.tl[1],s.br[0],s.br[1],l.pixelRatio,s.pixelRatio),this.zoomOutPaintVertexArray.emplace(c,l.tl[0],l.tl[1],l.br[0],l.br[1],u.tl[0],u.tl[1],u.br[0],u.br[1],l.pixelRatio,u.pixelRatio)}},lo.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,Fa.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,Fa.members,this.expression.isStateDependent))},lo.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var uo=function(t,e,r){this.binders={},this._buffers=[];var n=[];for(var i in t.paint._values)if(r(i)){var a=t.paint.get(i);if(a instanceof Ui&&Kr(a.property.specification)){var o=fo(i,t.type),s=a.value,l=a.property.specification.type,u=a.property.useIntegerZoom,c=a.property.specification[\"property-type\"],f=\"cross-faded\"===c||\"cross-faded-data-driven\"===c;if(\"constant\"===s.kind)this.binders[i]=f?new ao(s.value,o):new io(s.value,o,l),n.push(\"/u_\"+i);else if(\"source\"===s.kind||f){var h=ho(i,l,\"source\");this.binders[i]=f?new lo(s,l,u,e,h,t.id):new oo(s,o,l,h),n.push(\"/a_\"+i)}else{var p=ho(i,l,\"composite\");this.binders[i]=new so(s,o,l,u,e,p),n.push(\"/z_\"+i)}}}this.cacheKey=n.sort().join(\"\")};uo.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof oo||e instanceof so?e.maxValue:0},uo.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a in this.binders){var o=this.binders[a];(o instanceof oo||o instanceof so||o instanceof lo)&&o.populatePaintArray(t,e,r,n,i)}},uo.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders){var n=this.binders[r];n instanceof ao&&n.setConstantPatternPositions(t,e)}},uo.prototype.updatePaintArrays=function(t,e,r,n,i){var a=!1;for(var o in t)for(var s=0,l=e.getPositions(o);s<l.length;s+=1){var u=l[s],c=r.feature(u.index);for(var f in this.binders){var h=this.binders[f];if((h instanceof oo||h instanceof so||h instanceof lo)&&!0===h.expression.isStateDependent){var p=n.paint.get(f);h.expression=p.value,h.updatePaintArray(u.start,u.end,c,t[o],i),a=!0}}}return a},uo.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof io||r instanceof ao)&&t.push.apply(t,r.uniformNames.map((function(t){return\"#define HAS_UNIFORM_\"+t})))}return t},uo.prototype.getBinderAttributes=function(){var t=[];for(var e in this.binders){var r=this.binders[e];if(r instanceof oo||r instanceof so)for(var n=0;n<r.paintVertexAttributes.length;n++)t.push(r.paintVertexAttributes[n].name);else if(r instanceof lo)for(var i=0;i<Fa.members.length;i++)t.push(Fa.members[i].name)}return t},uo.prototype.getBinderUniforms=function(){var t=[];for(var e in this.binders){var r=this.binders[e];if(r instanceof io||r instanceof ao||r instanceof so)for(var n=0,i=r.uniformNames;n<i.length;n+=1){var a=i[n];t.push(a)}}return t},uo.prototype.getPaintVertexBuffers=function(){return this._buffers},uo.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var i=this.binders[n];if(i instanceof io||i instanceof ao||i instanceof so)for(var a=0,o=i.uniformNames;a<o.length;a+=1){var s=o[a];if(e[s]){var l=i.getBinding(t,e[s],s);r.push({name:s,property:n,binding:l})}}}return r},uo.prototype.setUniforms=function(t,e,r,n){for(var i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.name,l=o.property,u=o.binding;this.binders[l].setUniform(u,n,r.get(l),s)}},uo.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof lo){var 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u=t.readVarint();n=7&u,i=u>>3}if(i--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new a(o,s));else{if(7!==n)throw new Error(\"unknown command \"+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},Ys.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,u=-1/0;t.pos<e;){if(n<=0){var c=t.readVarint();r=7&c,n=c>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>u&&(u=a);else if(7!==r)throw new Error(\"unknown command \"+r)}return[o,l,s,u]},Ys.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(),u=Ys.types[this.type];function c(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var f=[];for(n=0;n<l.length;n++)f[n]=l[n][0];c(l=f);break;case 2:for(n=0;n<l.length;n++)c(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=Zs(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}return r&&i.push(r),i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)c(l[n][i])}1===l.length?l=l[0]:u=\"Multi\"+u;var h={type:\"Feature\",geometry:{type:u,coordinates:l},properties:this.properties};return\"id\"in this&&(h.id=this.id),h};var Ks=Js;function Js(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields($s,this,e),this.length=this._features.length}function $s(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){for(var e=null,r=t.readVarint()+t.pos;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Qs(t,e,r){if(3===t){var n=new Ks(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Js.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 Ws(this._pbf,e,this.extent,this._keys,this._values)};var tl={VectorTile:function(t,e){this.layers=t.readFields(Qs,{},e)},VectorTileFeature:Ws,VectorTileLayer:Ks},el=tl.VectorTileFeature.types,rl=Math.pow(2,13);function nl(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*rl)+o,i*rl*2,a*rl*2,Math.round(s))}var il=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new ia,this.indexArray=new va,this.programConfigurations=new co(t.layers,t.zoom),this.segments=new Da,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function al(t,e){return t.x===e.x&&(t.x<0||t.x>po)||t.y===e.y&&(t.y<0||t.y>po)}il.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=Ns(\"fill-extrusion\",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,u=a.sourceLayerIndex,c=this.layers[0]._featureFilter.needGeometry,f=mo(o,c);if(this.layers[0]._featureFilter.filter(new zi(this.zoom),f,r)){var h={id:s,sourceLayerIndex:u,index:l,geometry:c?f.geometry:yo(o),properties:o.properties,type:o.type,patterns:{}};this.hasPattern?this.features.push(js(\"fill-extrusion\",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,u,this.index,!0)}}},il.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},il.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},il.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},il.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},il.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Gs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},il.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},il.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=Fs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,u=0,c=s;u<c.length;u+=1)l+=c[u].length;for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!((O=d).every((function(t){return t.x<0}))||O.every((function(t){return t.x>po}))||O.every((function(t){return t.y<0}))||O.every((function(t){return t.y>po}))))for(var v=0,g=0;g<d.length;g++){var y=d[g];if(g>=1){var m=d[g-1];if(!al(y,m)){f.vertexLength+4>Da.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=y.sub(m)._perp()._unit(),b=m.dist(y);v+b>32768&&(v=0),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,v),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,v),v+=b,nl(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,0,v),nl(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,1,v);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>Da.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===el[t.type]){for(var w=[],T=[],k=f.vertexLength,A=0,M=s;A<M.length;A+=1){var S=M[A];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var L=S[E];nl(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=as(w,T),P=0;P<C.length;P+=3)this.indexArray.emplaceBack(k+C[P],k+C[P+2],k+C[P+1]);f.primitiveLength+=C.length/3,f.vertexLength+=l}}var O;this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},oi(\"FillExtrusionBucket\",il,{omit:[\"layers\",\"features\"]});var ol={paint:new Xi({\"fill-extrusion-opacity\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new Gi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},sl=function(t){function e(e){t.call(this,e,ol)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new il(t)},e.prototype.queryRadius=function(){return Io(this.paint.get(\"fill-extrusion-translate\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s,l){var u=zo(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),c=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),f=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),h=function(t,e,r,n){for(var i=[],o=0,s=t;o<s.length;o+=1){var l=s[o],u=[l.x,l.y,n,1];qo(u,u,e),i.push(new a(u[0]/u[3],u[1]/u[3]))}return i}(u,l,0,0),p=function(t,e,r,n){for(var i=[],o=[],s=n[8]*e,l=n[9]*e,u=n[10]*e,c=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,v=0,g=t;v<g.length;v+=1){for(var y=[],m=[],x=0,b=g[v];x<b.length;x+=1){var _=b[x],w=_.x,T=_.y,k=n[0]*w+n[4]*T+n[12],A=n[1]*w+n[5]*T+n[13],M=n[2]*w+n[6]*T+n[14],S=n[3]*w+n[7]*T+n[15],E=M+u,L=S+c,C=k+f,P=A+h,O=M+p,I=S+d,z=new a((k+s)/L,(A+l)/L);z.z=E/L,y.push(z);var D=new a(C/I,P/I);D.z=O/I,m.push(D)}i.push(y),o.push(m)}return[i,o]}(n,f,c,l);return function(t,e,r){var n=1/0;To(r,e)&&(n=ul(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],u=a[s+1],c=o[s],f=[l,u,o[s+1],c,l];_o(r,f)&&(n=Math.min(n,ul(r,f)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Ki);function ll(t,e){return t.x*e.x+t.y*e.y}function ul(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),u=o.sub(i),c=ll(s,s),f=ll(s,l),h=ll(l,l),p=ll(u,s),d=ll(u,l),v=c*h-f*f,g=(h*p-f*d)/v,y=(c*d-f*p)/v,m=1-g-y,x=i.z*m+r.z*g+a.z*y;if(isFinite(x))return x}return 1/0}for(var b=1/0,_=0,w=e;_<w.length;_+=1){var T=w[_];b=Math.min(b,T.z)}return b}var cl=ta([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,fl=ta([{name:\"a_uv_x\",components:1,type:\"Float32\"},{name:\"a_split_index\",components:1,type:\"Float32\"}]).members,hl=tl.VectorTileFeature.types,pl=Math.cos(Math.PI/180*37.5),dl=Math.pow(2,14)/.5,vl=function(t){var e=this;this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.lineClipsArray=[],this.gradients={},this.layers.forEach((function(t){e.gradients[t.id]={}})),this.layoutVertexArray=new aa,this.layoutVertexArray2=new oa,this.indexArray=new va,this.programConfigurations=new co(t.layers,t.zoom),this.segments=new Da,this.maxLineLength=0,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};vl.prototype.populate=function(t,e,r){this.hasPattern=Ns(\"line\",this.layers,e);for(var n=this.layers[0].layout.get(\"line-sort-key\"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,u=s.id,c=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p=mo(l,h);if(this.layers[0]._featureFilter.filter(new zi(this.zoom),p,r)){var d=n?n.evaluate(p,{},r):void 0,v={id:u,properties:l.properties,type:l.type,sourceLayerIndex:f,index:c,geometry:h?p.geometry:yo(l),patterns:{},sortKey:d};i.push(v)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,y=i;g<y.length;g+=1){var m=y[g],x=m,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=js(\"line\",this.layers,m,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(m,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},vl.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},vl.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},vl.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},vl.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},vl.prototype.upload=function(t){this.uploaded||(0!==this.layoutVertexArray2.length&&(this.layoutVertexBuffer2=t.createVertexBuffer(this.layoutVertexArray2,fl)),this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,cl),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},vl.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},vl.prototype.lineFeatureClips=function(t){if(t.properties&&t.properties.hasOwnProperty(\"mapbox_clip_start\")&&t.properties.hasOwnProperty(\"mapbox_clip_end\"))return{start:+t.properties.mapbox_clip_start,end:+t.properties.mapbox_clip_end}},vl.prototype.addFeature=function(t,e,r,n,i){var a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),u=a.get(\"line-round-limit\");this.lineClips=this.lineFeatureClips(t);for(var c=0,f=e;c<f.length;c+=1){var h=f[c];this.addLine(h,t,o,s,l,u)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},vl.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,this.lineClips){this.lineClipsArray.push(this.lineClips);for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance(),this.maxLineLength=Math.max(this.maxLineLength,this.totalDistance)}for(var s=\"Polygon\"===hl[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var u=0;u<l-1&&t[u].equals(t[u+1]);)u++;if(!(l<(s?3:2))){\"bevel\"===r&&(i=1.05);var c,f=this.overscaling<=16?15*po/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,v=void 0,g=void 0;this.e1=this.e2=-1,s&&(c=t[l-2],g=t[u].sub(c)._unit()._perp());for(var y=u;y<l;y++)if(!(d=y===l-1?s?t[u+1]:void 0:t[y+1])||!t[y].equals(d)){g&&(v=g),c&&(p=c),c=t[y],g=d?d.sub(c)._unit()._perp():v;var m=(v=v||g).add(g);0===m.x&&0===m.y||m._unit();var x=v.x*g.x+v.y*g.y,b=m.x*g.x+m.y*g.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<pl&&p&&d,k=v.x*g.y-v.y*g.x>0;if(T&&y>u){var A=c.dist(p);if(A>2*f){var M=c.sub(c.sub(p)._mult(f/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,v,0,0,h),p=M}}var S=p&&d,E=S?r:s?\"butt\":n;if(S&&\"round\"===E&&(_<a?E=\"miter\":_<=2&&(E=\"fakeround\")),\"miter\"===E&&_>i&&(E=\"bevel\"),\"bevel\"===E&&(_>2&&(E=\"flipbevel\"),_<i&&(E=\"miter\")),p&&this.updateDistance(p,c),\"miter\"===E)m._mult(_),this.addCurrentVertex(c,m,0,0,h);else if(\"flipbevel\"===E){if(_>100)m=g.mult(-1);else{var L=_*v.add(g).mag()/v.sub(g).mag();m._perp()._mult(L*(k?-1:1))}this.addCurrentVertex(c,m,0,0,h),this.addCurrentVertex(c,m.mult(-1),0,0,h)}else if(\"bevel\"===E||\"fakeround\"===E){var C=-Math.sqrt(_*_-1),P=k?C:0,O=k?0:C;if(p&&this.addCurrentVertex(c,v,P,O,h),\"fakeround\"===E)for(var I=Math.round(180*w/Math.PI/20),z=1;z<I;z++){var D=z/I;if(.5!==D){var R=D-.5;D+=D*R*(D-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=g.sub(v)._mult(D)._add(v)._unit()._mult(k?-1:1);this.addHalfVertex(c,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(c,g,-P,-O,h)}else if(\"butt\"===E)this.addCurrentVertex(c,m,0,0,h);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(c,m,B,B,h)}else\"round\"===E&&(p&&(this.addCurrentVertex(c,v,0,0,h),this.addCurrentVertex(c,v,1,1,h,!0)),d&&(this.addCurrentVertex(c,g,-1,-1,h,!0),this.addCurrentVertex(c,g,0,0,h)));if(T&&y<l-1){var N=c.dist(d);if(N>2*f){var j=c.add(d.sub(c)._mult(f/N)._round());this.updateDistance(c,j),this.addCurrentVertex(j,g,0,0,h),c=j}}}}},vl.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var 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e=Fl(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed32());return t},readPackedFixed64:function(t){if(this.type!==Il.Bytes)return t.push(this.readFixed64());var e=Fl(this);for(t=t||[];this.pos<e;)t.push(this.readFixed64());return t},readPackedSFixed64:function(t){if(this.type!==Il.Bytes)return t.push(this.readSFixed64());var e=Fl(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed64());return t},skip:function(t){var e=7&t;if(e===Il.Varint)for(;this.buf[this.pos++]>127;);else if(e===Il.Bytes)this.pos=this.readVarint()+this.pos;else if(e===Il.Fixed32)this.pos+=4;else{if(e!==Il.Fixed64)throw new Error(\"Unimplemented type: \"+e);this.pos+=8}},writeTag:function(t,e){this.writeVarint(t<<3|e)},realloc:function(t){for(var e=this.length||16;e<this.pos+t;)e*=2;if(e!==this.length){var r=new Uint8Array(e);r.set(this.buf),this.buf=r,this.length=e}},finish:function(){return this.length=this.pos,this.pos=0,this.buf.subarray(0,this.length)},writeFixed32:function(t){this.realloc(4),Kl(this.buf,t,this.pos),this.pos+=4},writeSFixed32:function(t){this.realloc(4),Kl(this.buf,t,this.pos),this.pos+=4},writeFixed64:function(t){this.realloc(8),Kl(this.buf,-1&t,this.pos),Kl(this.buf,Math.floor(t*Dl),this.pos+4),this.pos+=8},writeSFixed64:function(t){this.realloc(8),Kl(this.buf,-1&t,this.pos),Kl(this.buf,Math.floor(t*Dl),this.pos+4),this.pos+=8},writeVarint:function(t){(t=+t||0)>268435455||t<0?function(t,e){var r,n;if(t>=0?(r=t%4294967296|0,n=t/4294967296|0):(n=~(-t/4294967296),4294967295^(r=~(-t%4294967296))?r=r+1|0:(r=0,n=n+1|0)),t>=0x10000000000000000||t<-0x10000000000000000)throw new Error(\"Given varint doesn't fit into 10 bytes\");e.realloc(10),function(t,e,r){r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos]=127&t}(r,0,e),function(t,e){var r=(7&t)<<4;e.buf[e.pos++]|=r|((t>>>=3)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t)))))}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,i,a=0;a<e.length;a++){if((n=e.charCodeAt(a))>55295&&n<57344){if(!i){n>56319||a+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):i=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,i=n;continue}n=i-55296<<10|n-56320|65536,i=null}else i&&(t[r++]=239,t[r++]=191,t[r++]=189,i=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&Nl(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),Pl(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),Pl(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&Nl(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,Il.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,jl,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,Ul,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,Hl,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,Vl,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,ql,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,Gl,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,Wl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,Yl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,Xl,e)},writeBytesField:function(t,e){this.writeTag(t,Il.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,Il.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,Il.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,Il.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,Il.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,Il.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,Il.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,Il.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,Il.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,Il.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};var $l=3;function Ql(t,e,r){1===t&&r.readMessage(tu,e)}function tu(t,e,r){if(3===t){var n=r.readMessage(eu,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,u=n.top,c=n.advance;e.push({id:i,bitmap:new Jo({width:o+2*$l,height:s+2*$l},a),metrics:{width:o,height:s,left:l,top:u,advance:c}})}}function eu(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}var ru=$l;function nu(t){for(var e=0,r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];e+=a.w*a.h,r=Math.max(r,a.w)}t.sort((function(t,e){return e.h-t.h}));for(var o=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}],s=0,l=0,u=0,c=t;u<c.length;u+=1)for(var f=c[u],h=o.length-1;h>=0;h--){var p=o[h];if(!(f.w>p.w||f.h>p.h)){if(f.x=p.x,f.y=p.y,l=Math.max(l,f.y+f.h),s=Math.max(s,f.x+f.w),f.w===p.w&&f.h===p.h){var d=o.pop();h<o.length&&(o[h]=d)}else f.h===p.h?(p.x+=f.w,p.w-=f.w):f.w===p.w?(p.y+=f.h,p.h-=f.h):(o.push({x:p.x+f.w,y:p.y,w:p.w-f.w,h:f.h}),p.y+=f.h,p.h-=f.h);break}}return{w:s,h:l,fill:e/(s*l)||0}}var iu=1,au=function(t,e){var r=e.pixelRatio,n=e.version,i=e.stretchX,a=e.stretchY,o=e.content;this.paddedRect=t,this.pixelRatio=r,this.stretchX=i,this.stretchY=a,this.content=o,this.version=n},ou={tl:{configurable:!0},br:{configurable:!0},tlbr:{configurable:!0},displaySize:{configurable:!0}};ou.tl.get=function(){return[this.paddedRect.x+iu,this.paddedRect.y+iu]},ou.br.get=function(){return[this.paddedRect.x+this.paddedRect.w-iu,this.paddedRect.y+this.paddedRect.h-iu]},ou.tlbr.get=function(){return this.tl.concat(this.br)},ou.displaySize.get=function(){return[(this.paddedRect.w-2*iu)/this.pixelRatio,(this.paddedRect.h-2*iu)/this.pixelRatio]},Object.defineProperties(au.prototype,ou);var su=function(t,e){var r={},n={};this.haveRenderCallbacks=[];var i=[];this.addImages(t,r,i),this.addImages(e,n,i);var a=nu(i),o=a.w,s=a.h,l=new $o({width:o||1,height:s||1});for(var u in t){var c=t[u],f=r[u].paddedRect;$o.copy(c.data,l,{x:0,y:0},{x:f.x+iu,y:f.y+iu},c.data)}for(var h in e){var p=e[h],d=n[h].paddedRect,v=d.x+iu,g=d.y+iu,y=p.data.width,m=p.data.height;$o.copy(p.data,l,{x:0,y:0},{x:v,y:g},p.data),$o.copy(p.data,l,{x:0,y:m-1},{x:v,y:g-1},{width:y,height:1}),$o.copy(p.data,l,{x:0,y:0},{x:v,y:g+m},{width:y,height:1}),$o.copy(p.data,l,{x:y-1,y:0},{x:v-1,y:g},{width:1,height:m}),$o.copy(p.data,l,{x:0,y:0},{x:v+y,y:g},{width:1,height:m})}this.image=l,this.iconPositions=r,this.patternPositions=n};su.prototype.addImages=function(t,e,r){for(var n in t){var i=t[n],a={x:0,y:0,w:i.data.width+2*iu,h:i.data.height+2*iu};r.push(a),e[n]=new au(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},su.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},su.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,i=n[0],a=n[1];r.update(e.data,void 0,{x:i,y:a})}},oi(\"ImagePosition\",au),oi(\"ImageAtlas\",su);var lu={horizontal:1,vertical:2,horizontalOnly:3},uu=-17;var cu=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};cu.forText=function(t,e){var r=new cu;return r.scale=t||1,r.fontStack=e,r},cu.forImage=function(t){var e=new cu;return e.imageName=t,e};var fu=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function hu(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=fu.fromFeature(t,i);f===lu.vertical&&y.verticalizePunctuation();var m=Ii.processBidirectionalText,x=Ii.processStyledBidirectionalText;if(m&&1===y.sections.length){g=[];for(var b=0,_=m(y.toString(),bu(y,u,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new fu;T.text=w,T.sections=y.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);g.push(T)}}else if(x){g=[];for(var A=0,M=x(y.text,y.sectionIndex,bu(y,u,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new fu;E.text=S[0],E.sectionIndex=S[1],E.sections=y.sections,g.push(E)}}else g=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(y,bu(y,u,a,e,n,p,d));var L=[],C={positionedLines:L,text:y.toString(),top:c[1],bottom:c[1],left:c[0],right:c[0],writingMode:f,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=0,p=uu,d=0,v=0,g=\"right\"===s?1:\"left\"===s?0:.5,y=0,m=0,x=i;m<x.length;m+=1){var b=x[m];b.trim();var _=b.getMaxScale(),w=(_-1)*Ll,T={positionedGlyphs:[],lineOffset:0};t.positionedLines[y]=T;var k=T.positionedGlyphs,A=0;if(b.length()){for(var M=0;M<b.length();M++){var S=b.getSection(M),E=b.getSectionIndex(M),L=b.getCharCode(M),C=0,P=null,O=null,I=null,z=Ll,D=!(l===lu.horizontal||!c&&!vi(L)||c&&(pu[L]||yi(L)));if(S.imageName){var R=n[S.imageName];if(!R)continue;I=S.imageName,t.iconsInText=t.iconsInText||!0,O=R.paddedRect;var F=R.displaySize;S.scale=S.scale*Ll/f,P={width:F[0],height:F[1],left:iu,top:-ru,advance:D?F[1]:F[0]},C=w+(Ll-F[1]*S.scale),z=P.advance;var B=D?F[0]*S.scale-Ll*_:F[1]*S.scale-Ll*_;B>0&&B>A&&(A=B)}else{var N=r[S.fontStack],j=N&&N[L];if(j&&j.rect)O=j.rect,P=j.metrics;else{var U=e[S.fontStack],V=U&&U[L];if(!V)continue;P=V.metrics}C=(_-S.scale)*Ll}D?(t.verticalizable=!0,k.push({glyph:L,imageName:I,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:O}),h+=z*S.scale+u):(k.push({glyph:L,imageName:I,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:O}),h+=P.advance*S.scale+u)}if(0!==k.length){var q=h-u;d=Math.max(q,d),wu(k,0,k.length-1,g,A)}h=0;var H=a*_+A;T.lineOffset=Math.max(A,w),p+=H,v=Math.max(H,v),++y}else p+=a,++y}var G=p-uu,W=_u(o),Y=W.horizontalAlign,X=W.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var u=(e-r)*i,c=0;c=a!==o?-s*n-uu:(-n*l+.5)*o;for(var f=0,h=t;f<h.length;f+=1)for(var p=0,d=h[f].positionedGlyphs;p<d.length;p+=1){var v=d[p];v.x+=u,v.y+=c}})(t.positionedLines,g,Y,X,d,v,a,G,i.length),t.top+=-X*G,t.bottom=t.top+G,t.left+=-Y*d,t.right=t.left+d}(C,e,r,n,g,o,s,l,f,u,h,v),!function(t){for(var e=0,r=t;e<r.length;e+=1)if(0!==r[e].positionedGlyphs.length)return!1;return!0}(L)&&C}fu.fromFeature=function(t,e){for(var r=new fu,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},fu.prototype.length=function(){return this.text.length},fu.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},fu.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},fu.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},fu.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e=\"\",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;n&&gi(n)&&!El[t[r+1]]||i&&gi(i)&&!El[t[r-1]]||!El[t[r]]?e+=t[r]:e+=El[t[r]]}return e}(this.text)},fu.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&pu[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&pu[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},fu.prototype.substring=function(t,e){var r=new fu;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},fu.prototype.toString=function(){return this.text},fu.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return 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wu(t,e,r,n,i){if(n||i)for(var a=t[r],o=a.metrics.advance*a.scale,s=(t[r].x+o)*n,l=e;l<=r;l++)t[l].x-=s,t[l].y+=i}function Tu(t,e,r,n,i,a){var o,s=t.image;if(s.content){var l=s.content,u=s.pixelRatio||1;o=[l[0]/u,l[1]/u,s.displaySize[0]-l[2]/u,s.displaySize[1]-l[3]/u]}var c,f,h,p,d=e.left*a,v=e.right*a;\"width\"===r||\"both\"===r?(p=i[0]+d-n[3],f=i[0]+v+n[1]):f=(p=i[0]+(d+v-s.displaySize[0])/2)+s.displaySize[0];var g=e.top*a,y=e.bottom*a;return\"height\"===r||\"both\"===r?(c=i[1]+g-n[0],h=i[1]+y+n[2]):h=(c=i[1]+(g+y-s.displaySize[1])/2)+s.displaySize[1],{image:s,top:c,right:f,bottom:h,left:p,collisionPadding:o}}du[10]=!0,du[32]=!0,du[38]=!0,du[40]=!0,du[41]=!0,du[43]=!0,du[45]=!0,du[47]=!0,du[173]=!0,du[183]=!0,du[8203]=!0,du[8208]=!0,du[8211]=!0,du[8231]=!0;var ku=function(t){function e(e,r,n,i){t.call(this,e,r),this.angle=n,void 0!==i&&(this.segment=i)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.clone=function(){return new 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i=t.interpolationType,a=t.minZoom,o=t.maxZoom,s=i?f(wr.interpolationFactor(i,e,a,o),0,1):0;\"camera\"===t.kind?n=er(t.minSize,t.maxSize,s):r=s}return{uSizeT:r,uSize:n}}var Lu=Object.freeze({__proto__:null,getSizeData:Mu,evaluateSizeForFeature:Su,evaluateSizeForZoom:Eu,SIZE_PACK_FACTOR:Au});function Cu(t,e,r,n,i){if(void 0===e.segment)return!0;for(var a=e,o=e.segment+1,s=0;s>-r/2;){if(--o<0)return!1;s-=t[o].dist(a),a=t[o]}s+=t[o].dist(t[o+1]),o++;for(var l=[],u=0;s<r/2;){var c=t[o-1],f=t[o],h=t[o+1];if(!h)return!1;var p=c.angleTo(f)-f.angleTo(h);for(p=Math.abs((p+3*Math.PI)%(2*Math.PI)-Math.PI),l.push({distance:s,angleDelta:p}),u+=p;s-l[0].distance>n;)u-=l.shift().angleDelta;if(u>i)return!1;o++,s+=f.dist(h)}return!0}function Pu(t){for(var e=0,r=0;r<t.length-1;r++)e+=t[r].dist(t[r+1]);return e}function Ou(t,e,r){return t?.6*e*r:0}function Iu(t,e){return Math.max(t?t.right-t.left:0,e?e.right-e.left:0)}function zu(t,e,r,n,i,a){for(var 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a(0,0);c.push({tl:z,tr:D,bl:R,br:F,tex:y,writingMode:e.writingMode,glyphOffset:S,sectionIndex:g.sectionIndex,isSDF:x,pixelOffsetTL:Y,pixelOffsetBR:X,minFontScaleX:0,minFontScaleY:0})}}return c}(0,r,l,i,o,s,n,t.allowVerticalPlacement),y=t.textSizeData,m=null;\"source\"===y.kind?(m=[Au*i.layout.get(\"text-size\").evaluate(s,{})])[0]>ec&&k(t.layerIds[0]+': Value for \"text-size\" is >= '+tc+'. Reduce your \"text-size\".'):\"composite\"===y.kind&&((m=[Au*d.compositeTextSizes[0].evaluate(s,{},v),Au*d.compositeTextSizes[1].evaluate(s,{},v)])[0]>ec||m[1]>ec)&&k(t.layerIds[0]+': Value for \"text-size\" is >= '+tc+'. Reduce your \"text-size\".'),t.addSymbols(t.text,g,m,l,o,s,c,e,u.lineStartIndex,u.lineLength,p,v);for(var x=0,b=f;x<b.length;x+=1)h[b[x]]=t.text.placedSymbolArray.length-1;return 4*g.length}function nc(t){for(var e in t)return t[e];return null}function ic(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])<r)return!0}else i[e]=[];return i[e].push(n),!1}var ac=tl.VectorTileFeature.types,oc=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function sc(t,e,r,n,i,a,o,s,l,u,c,f,h){var p=s?Math.min(ec,Math.round(s[0])):0,d=s?Math.min(ec,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*u,16*c,256*f,256*h)}function lc(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}function uc(t){for(var e=0,r=t.sections;e<r.length;e+=1)if(bi(r[e].text))return!0;return!1}var cc=function(t){this.layoutVertexArray=new la,this.indexArray=new va,this.programConfigurations=t,this.segments=new Da,this.dynamicLayoutVertexArray=new ua,this.opacityVertexArray=new ca,this.placedSymbolArray=new Sa};cc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},cc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,wl.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Tl.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,oc,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},cc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},oi(\"SymbolBuffers\",cc);var fc=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new Da,this.collisionVertexArray=new da};fc.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,kl.members,!0)},fc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},oi(\"CollisionBuffers\",fc);var hc=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=Bo([]),this.placementViewportMatrix=Bo([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Mu(this.zoom,e[\"text-size\"]),this.iconSizeData=Mu(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),i=r.get(\"symbol-z-order\");this.canOverlap=r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\"),this.sortFeaturesByKey=\"viewport-y\"!==i&&void 0!==n.constantOr(1);var a=\"viewport-y\"===i||\"auto\"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&this.canOverlap,\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return lu[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};hc.prototype.createArrays=function(){this.text=new cc(new co(this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new cc(new co(this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new Ca,this.lineVertexArray=new Pa,this.symbolInstances=new La},hc.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=El[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},hc.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get(\"text-font\"),o=i.get(\"text-field\"),s=i.get(\"icon-image\"),l=(\"constant\"!==o.value.kind||o.value.value instanceof he&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),u=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,c=i.get(\"symbol-sort-key\");if(this.features=[],l||u){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new zi(this.zoom),v=0,g=t;v<g.length;v+=1){var y=g[v],m=y.feature,x=y.id,b=y.index,_=y.sourceLayerIndex,w=n._featureFilter.needGeometry,T=mo(m,w);if(n._featureFilter.filter(d,T,r)){w||(T.geometry=yo(m));var k=void 0;if(l){var A=n.getValueAndResolveTokens(\"text-field\",T,r,p),M=he.factory(A);uc(M)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===Pi()||this.hasRTLText&&Ii.isParsed())&&(k=Sl(M,n,T))}var S=void 0;if(u){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof pe?E:pe.fromString(E)}if(k||S){var L=this.sortFeaturesByKey?c.evaluate(T,{},r):void 0,C={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:T.geometry,properties:m.properties,type:ac[m.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var P=a.evaluate(T,{},r).join(\",\"),O=\"map\"===i.get(\"text-rotation-alignment\")&&\"point\"!==i.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(lu.vertical)>=0;for(var I=0,z=k.sections;I<z.length;I+=1){var D=z[I];if(D.image)f[D.image.name]=!0;else{var R=di(k.toString()),F=D.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(D.text,B,O,this.allowVerticalPlacement,R)}}}}}}\"line\"===i.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var u=0;u<t.length;u++){var c=t[u],f=c.geometry,h=c.text?c.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var v=s(p,d,f),g=o(p,d,n[v].geometry);delete e[p],delete r[d],r[l(h,n[g].geometry,!0)]=g,n[v].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(u),e[p]=i-1,r[d]=i-1)}else a(u)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},hc.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},hc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},hc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},hc.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},hc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},hc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},hc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var u=a[l];this.lineVertexArray.emplaceBack(u.x,u.y,u.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},hc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,this.canOverlap?a.sortKey:void 0),v=this.glyphOffsetArray.length,g=d.vertexLength,y=this.allowVerticalPlacement&&o===lu.vertical?Math.PI/2:0,m=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,A=b.tex,M=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,L=b.minFontScaleY,C=b.glyphOffset,P=b.isSDF,O=b.sectionIndex,I=d.vertexLength,z=C[1];sc(p,s.x,s.y,_.x,z+_.y,A.x,A.y,r,P,M.x,M.y,E,L),sc(p,s.x,s.y,w.x,z+w.y,A.x+A.w,A.y,r,P,S.x,M.y,E,L),sc(p,s.x,s.y,T.x,z+T.y,A.x,A.y+A.h,r,P,M.x,S.y,E,L),sc(p,s.x,s.y,k.x,z+k.y,A.x+A.w,A.y+A.h,r,P,S.x,S.y,E,L),lc(t.dynamicLayoutVertexArray,s,y),h.emplaceBack(I,I+1,I+2),h.emplaceBack(I+1,I+2,I+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&O===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,m&&m[O])}t.placedSymbolArray.emplaceBack(s.x,s.y,v,this.glyphOffsetArray.length-v,g,l,u,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,c)},hc.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},hc.prototype.addCollisionDebugVertices=function(t,e,r,n,i,o,s){var l=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),u=l.vertexLength,c=i.layoutVertexArray,f=i.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(c,f,o,h,p,new a(t,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,n)),this._addCollisionDebugVertex(c,f,o,h,p,new a(t,n)),l.vertexLength+=4;var d=i.indexArray;d.emplaceBack(u,u+1),d.emplaceBack(u+1,u+2),d.emplaceBack(u+2,u+3),d.emplaceBack(u+3,u),l.primitiveLength+=4},hc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,u=a.y2;this.addCollisionDebugVertices(o,s,l,u,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},hc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new fc(ha,Al.members,_a),this.iconCollisionBox=new fc(ha,Al.members,_a);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},hc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var u={},c=e;c<r;c++){var f=t.get(c);u.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},u.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);u.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},u.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var v=t.get(d);u.iconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},u.iconFeatureIndex=v.featureIndex;break}for(var g=s;g<l;g++){var y=t.get(g);u.verticalIconBox={x1:y.x1,y1:y.y1,x2:y.x2,y2:y.y2,anchorPointX:y.anchorPointX,anchorPointY:y.anchorPointY},u.verticalIconFeatureIndex=y.featureIndex;break}return u},hc.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},hc.prototype.hasTextData=function(){return this.text.segments.get().length>0},hc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},hc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},hc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},hc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},hc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},hc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},hc.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},hc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},oi(\"SymbolBucket\",hc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),hc.MAX_GLYPHS=65535,hc.addDynamicAttributes=lc;var pc=new Xi({\"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\"])}),dc={paint:new Xi({\"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:Zt,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:pc},vc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Gt,this.defaultValue=t};vc.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},vc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},vc.prototype.outputDefined=function(){return!1},vc.prototype.serialize=function(){return null},oi(\"FormatSectionOverride\",vc,{omit:[\"defaultValue\"]});var gc=function(t){function e(e){t.call(this,e,dc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values[\"text-writing-mode\"]=i}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||cn(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):\"\"}))}(e.properties,i)},e.prototype.createBucket=function(t){return new hc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=dc.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i,a=this.paint.get(n),o=new vc(a),s=new un(o,a.property.specification);i=\"constant\"===a.value.kind||\"source\"===a.value.kind?new hn(\"source\",s):new pn(\"composite\",s,a.value.zoomStops,a.value._interpolationType),this.paint._values[n]=new Ui(a.property,i,a.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\"text-field\"),n=dc.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if(\"constant\"===r.value.kind&&r.value.value instanceof he)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!i)if(t instanceof me&&ge(t.value)===Qt){var e=t.value;a(e.sections)}else t instanceof we?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Ki),yc={paint:new Xi({\"background-color\":new qi(Ft.paint_background[\"background-color\"]),\"background-pattern\":new Wi(Ft.paint_background[\"background-pattern\"]),\"background-opacity\":new qi(Ft.paint_background[\"background-opacity\"])})},mc=function(t){function e(e){t.call(this,e,yc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ki),xc={paint:new Xi({\"raster-opacity\":new qi(Ft.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new qi(Ft.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new qi(Ft.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new qi(Ft.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new qi(Ft.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new qi(Ft.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new qi(Ft.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new qi(Ft.paint_raster[\"raster-fade-duration\"])})},bc=function(t){function e(e){t.call(this,e,xc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ki);var _c=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return\"3d\"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(Ki),wc={circle:Go,heatmap:es,hillshade:ns,fill:Hs,\"fill-extrusion\":sl,line:bl,symbol:gc,background:mc,raster:bc};var Tc=s.HTMLImageElement,kc=s.HTMLCanvasElement,Ac=s.HTMLVideoElement,Mc=s.ImageData,Sc=s.ImageBitmap,Ec=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Ec.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof Tc||t instanceof kc||t instanceof Ac||t instanceof Mc||Sc&&t instanceof Sc?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},u=l.x,c=l.y;t instanceof Tc||t instanceof kc||t instanceof Ac||t instanceof Mc||Sc&&t instanceof Sc?s.texSubImage2D(s.TEXTURE_2D,0,u,c,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,u,c,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Ec.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Ec.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Ec.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Lc=function(t){var e=this;this._callback=t,this._triggered=!1,\"undefined\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};Lc.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},Lc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Cc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},m([\"receive\",\"process\"],this),this.invoker=new Lc(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=S()?t:s};function Pc(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]}Cc.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=C(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:ci(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},Cc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else S()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Cc.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)}},Cc.prototype.processTask=function(t,e){var r=this;if(\"<response>\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(fi(e.error)):n(null,fi(e.data)))}else{var i=!1,a=C(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"<response>\",sourceMapId:r.mapId,error:e?ci(e):null,data:ci(n,a)},a)}:function(t){i=!0},s=null,l=fi(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var u=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,u[0],l.source)[u[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Cc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Oc=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]))};Oc.prototype.setNorthEast=function(t){return this._ne=t instanceof zc?new zc(t.lng,t.lat):zc.convert(t),this},Oc.prototype.setSouthWest=function(t){return this._sw=t instanceof zc?new zc(t.lng,t.lat):zc.convert(t),this},Oc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof zc)e=t,r=t;else{if(!(t instanceof Oc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Oc.convert(a))}var o=t;return this.extend(zc.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 zc(e.lng,e.lat),this._ne=new zc(r.lng,r.lat)),this},Oc.prototype.getCenter=function(){return new zc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Oc.prototype.getSouthWest=function(){return this._sw},Oc.prototype.getNorthEast=function(){return this._ne},Oc.prototype.getNorthWest=function(){return new zc(this.getWest(),this.getNorth())},Oc.prototype.getSouthEast=function(){return new zc(this.getEast(),this.getSouth())},Oc.prototype.getWest=function(){return this._sw.lng},Oc.prototype.getSouth=function(){return this._sw.lat},Oc.prototype.getEast=function(){return this._ne.lng},Oc.prototype.getNorth=function(){return this._ne.lat},Oc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Oc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Oc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Oc.prototype.contains=function(t){var e=zc.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},Oc.convert=function(t){return!t||t instanceof Oc?t:new Oc(t)};var Ic=6371008.8,zc=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\")};zc.prototype.wrap=function(){return new zc(h(this.lng,-180,180),this.lat)},zc.prototype.toArray=function(){return[this.lng,this.lat]},zc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},zc.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 Ic*Math.acos(Math.min(i,1))},zc.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 Oc(new zc(this.lng-r,this.lat-e),new zc(this.lng+r,this.lat+e))},zc.convert=function(t){if(t instanceof zc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new zc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new zc(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")};var Dc=2*Math.PI*Ic;function Rc(t){return Dc*Math.cos(t*Math.PI/180)}function Fc(t){return(180+t)/360}function Bc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Nc(t,e){return t/Rc(e)}function jc(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Uc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Uc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=zc.convert(t);return new Uc(Fc(r.lng),Bc(r.lat),Nc(e,r.lat))},Uc.prototype.toLngLat=function(){return new zc(360*this.x-180,jc(this.y))},Uc.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Rc(jc(e));var t,e},Uc.prototype.meterInMercatorCoordinateUnits=function(){return 1/Dc*(t=jc(this.y),1/Math.cos(t*Math.PI/180));var t};var Vc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=Gc(0,t,t,e,r)};Vc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Vc.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Pc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Pc(256*(r+1),256*(n+1),i),a[0]+\",\"+a[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,i=\"\",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",String(this.z)).replace(\"{x}\",String(this.x)).replace(\"{y}\",String(\"tms\"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",l).replace(\"{bbox-epsg-3857}\",s)},Vc.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a((t.x*e-this.x)*po,(t.y*e-this.y)*po)},Vc.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var qc=function(t,e){this.wrap=t,this.canonical=e,this.key=Gc(t,e.z,e.z,e.x,e.y)},Hc=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new Vc(r,+n,+i),this.key=Gc(e,t,r,n,i)};function Gc(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}Hc.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Hc.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Hc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Hc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Hc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?Gc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):Gc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Hc.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},Hc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Hc(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 Hc(e,this.wrap,e,r,n),new Hc(e,this.wrap,e,r+1,n),new Hc(e,this.wrap,e,r,n+1),new Hc(e,this.wrap,e,r+1,n+1)]},Hc.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},Hc.prototype.wrapped=function(){return new Hc(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Hc.prototype.unwrapTo=function(t){return new Hc(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Hc.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Hc.prototype.toUnwrapped=function(){return new qc(this.wrap,this.canonical)},Hc.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},Hc.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Uc(t.x-this.wrap,t.y))},oi(\"CanonicalTileID\",Vc),oi(\"OverscaledTileID\",Hc,{omit:[\"posMatrix\"]});var Wc=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return k('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\"mapbox\";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};Wc.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return(\"terrarium\"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},Wc.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Wc.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},Wc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Wc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Wc.prototype.getPixels=function(){return new $o({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Wc.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,u=a;u<o;u++)for(var c=n;c<i;c++)this.data[this._idx(c,u)]=t.data[this._idx(c+s,u+l)]},oi(\"DEMData\",Wc);var Yc=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};Yc.prototype.encode=function(t){return this._stringToNumber[t]},Yc.prototype.decode=function(t){return this._numberToString[t]};var Xc=function(t,e,r,n,i){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},Zc={geometry:{configurable:!0}};Zc.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},Zc.geometry.set=function(t){this._geometry=t},Xc.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t},Object.defineProperties(Xc.prototype,Zc);var Kc=function(){this.state={},this.stateChanges={},this.deletedStates={}};Kc.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},p(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r)this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]},Kc.prototype.removeFeatureState=function(t,e,r){if(null!==this.deletedStates[t]){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e)if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null;else this.deletedStates[t]=null}},Kc.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=p({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},Kc.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},Kc.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),p(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var u in this.deletedStates[o]){if(null===this.deletedStates[o][u])this.state[o][u]={};else for(var c=0,f=Object.keys(this.deletedStates[o][u]);c<f.length;c+=1){var h=f[c];delete this.state[o][u][h]}s[u]=this.state[o][u]}r[o]=r[o]||{},p(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t)t[d].setFeatureState(r,e)};var Jc=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new ti(po,16,0),this.grid3D=new ti(po,16,0),this.featureIndexArray=new Ia,this.promoteId=e};function $c(t,e,r,n,i){return b(t,(function(t,a){var o=e instanceof Vi?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function Qc(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function tf(t,e){return e-t}Jc.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var u=e[l],c=[1/0,1/0,-1/0,-1/0],f=0;f<u.length;f++){var h=u[f];c[0]=Math.min(c[0],h.x),c[1]=Math.min(c[1],h.y),c[2]=Math.max(c[2],h.x),c[3]=Math.max(c[3],h.y)}c[0]<po&&c[1]<po&&c[2]>=0&&c[3]>=0&&s.insert(o,c[0],c[1],c[2],c[3])}},Jc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new tl.VectorTile(new Ol(this.rawTileData)).layers,this.sourceLayerCoder=new Yc(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Jc.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),u=t.queryGeometry,c=t.queryPadding*s,f=Qc(u),h=this.grid.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c),p=Qc(t.cameraQueryGeometry),d=0,v=this.grid3D.query(p.minX-c,p.minY-c,p.maxX+c,p.maxY+c,(function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&i>=l.y)return!0}var u=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var c=0,f=u;c<f.length;c+=1)if(Co(t,f[c]))return!0;for(var h=0;h<t.length-1;h++)if(Po(t[h],t[h+1],u))return!0;return!1}(t.cameraQueryGeometry,e-c,r-c,n+c,i+c)}));d<v.length;d+=1){var g=v[d];h.push(g)}h.sort(tf);for(var y,m={},x=function(a){var c=h[a];if(c!==y){y=c;var f=i.featureIndexArray.get(c),p=null;i.loadMatchingFeature(m,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=yo(e)),r.queryIntersectsFeature(u,e,n,p,i.z,t.transform,s,t.pixelPosMatrix)}))}},b=0;b<h.length;b++)x(b);return m},Jc.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,u,c){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),d=this.vtLayers[h].feature(n);if(i.needGeometry){var v=mo(d,!0);if(!i.filter(new zi(this.tileID.overscaledZ),v,this.tileID.canonical))return}else if(!i.filter(new zi(this.tileID.overscaledZ),d))return;for(var g=this.getId(d,h),y=0;y<f.length;y++){var m=f[y];if(!(a&&a.indexOf(m)<0)){var x=s[m];if(x){var b={};void 0!==g&&u&&(b=u.getState(x.sourceLayer||\"_geojsonTileLayer\",g));var _=p({},l[m]);_.paint=$c(_.paint,x.paint,d,b,o),_.layout=$c(_.layout,x.layout,d,b,o);var w=!c||c(d,x,b);if(w){var T=new Xc(d,this.z,this.x,this.y,g);T.layer=_;var k=t[m];void 0===k&&(k=t[m]=[]),k.push({featureIndex:n,feature:T,intersectionZ:w})}}}}}},Jc.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var u=An(i),c=0,f=t;c<f.length;c+=1){var h=f[c];this.loadMatchingFeature(l,r,n,h,u,a,o,s,e)}return l},Jc.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1)if(t===i[n])return!0;return!1},Jc.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n=\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e];\"boolean\"==typeof(r=t.properties[n])&&(r=Number(r))}return r},oi(\"FeatureIndex\",Jc,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var ef=function(t,e){this.tileID=t,this.uid=v(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};ef.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<N.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},ef.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},ef.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof hc){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof hc&&o.hasRTLText){this.hasRTLText=!0,Ii.isLoading()||Ii.isLoaded()||\"deferred\"!==Pi()||Oi();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new Aa},ef.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},ef.prototype.getBucket=function(t){return this.buckets[t.id]},ef.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Ec(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Ec(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},ef.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},ef.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,u){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:u,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},ef.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:\"\",a=n._geojsonTileLayer||n[i];if(a)for(var o=An(e&&e.filter),s=this.tileID.canonical,l=s.z,u=s.x,c=s.y,f={z:l,x:u,y:c},h=0;h<a.length;h++){var p=a.feature(h);if(o.needGeometry){var d=mo(p,!0);if(!o.filter(new zi(this.tileID.overscaledZ),d,this.tileID.canonical))continue}else if(!o.filter(new zi(this.tileID.overscaledZ),p))continue;var v=r.getId(p,i),g=new Xc(p,l,u,c,v);g.tile=f,t.push(g)}}},ef.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},ef.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},ef.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=E(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},ef.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},ef.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},ef.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},ef.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<N.now()},ef.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},ef.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=N.now()+t},ef.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1)r[i[n]]=!0;this.dependencies[t]=r},ef.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1)if(a[s[o]])return!0}return!1};var rf=s.performance,nf=function(t){this._marks={start:[t.url,\"start\"].join(\"#\"),end:[t.url,\"end\"].join(\"#\"),measure:t.url.toString()},rf.mark(this._marks.start)};nf.prototype.finish=function(){rf.mark(this._marks.end);var t=rf.getEntriesByName(this._marks.measure);return 0===t.length&&(rf.measure(this._marks.measure,this._marks.start,this._marks.end),t=rf.getEntriesByName(this._marks.measure),rf.clearMarks(this._marks.start),rf.clearMarks(this._marks.end),rf.clearMeasures(this._marks.measure)),t},t.Actor=Cc,t.AlphaImage=Jo,t.CanonicalTileID=Vc,t.CollisionBoxArray=Aa,t.Color=ue,t.DEMData=Wc,t.DataConstantProperty=qi,t.DictionaryCoder=Yc,t.EXTENT=po,t.ErrorEvent=Dt,t.EvaluationParameters=zi,t.Event=zt,t.Evented=Rt,t.FeatureIndex=Jc,t.FillBucket=Us,t.FillExtrusionBucket=il,t.ImageAtlas=su,t.ImagePosition=au,t.LineBucket=vl,t.LngLat=zc,t.LngLatBounds=Oc,t.MercatorCoordinate=Uc,t.ONE_EM=Ll,t.OverscaledTileID=Hc,t.Point=a,t.Point$1=a,t.Properties=Xi,t.Protobuf=Ol,t.RGBAImage=$o,t.RequestManager=W,t.RequestPerformance=nf,t.ResourceType=_t,t.SegmentVector=Da,t.SourceFeatureState=Kc,t.StructArrayLayout1ui2=wa,t.StructArrayLayout2f1f2i16=pa,t.StructArrayLayout2i4=ra,t.StructArrayLayout3ui6=va,t.StructArrayLayout4i8=na,t.SymbolBucket=hc,t.Texture=Ec,t.Tile=ef,t.Transitionable=Fi,t.Uniform1f=Ka,t.Uniform1i=Za,t.Uniform2f=Ja,t.Uniform3f=$a,t.Uniform4f=Qa,t.UniformColor=to,t.UniformMatrix4f=ro,t.UnwrappedTileID=qc,t.ValidationError=Bt,t.WritingMode=lu,t.ZoomHistory=hi,t.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},t.addDynamicAttributes=lc,t.asyncAll=function(t,e,r){if(!t.length)return r(null,[]);var n=t.length,i=new Array(t.length),a=null;t.forEach((function(t,o){e(t,(function(t,e){t&&(a=t),i[o]=e,0==--n&&r(a,i)}))}))},t.bezier=u,t.bindAll=m,t.browser=N,t.cacheEntryPossiblyAdded=function(t){++xt>ht&&(t.getActor().send(\"enforceCacheSizeLimit\",ft),xt=0)},t.clamp=f,t.clearTileCache=function(t){var e=s.caches.delete(ct);t&&e.catch(t).then((function(){return t()}))},t.clipLine=Fu,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 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generateId cannot be used together.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n<t.features.length;n++)rt(r,t.features[n],e,n);else\"Feature\"===t.type?rt(r,t,e):rt(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",e.indexMaxZoom,e.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,i=lt(t,1,-1-r,r,0,-1,2,e),a=lt(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=lt(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=gt(i,1).concat(n)),a&&(n=n.concat(gt(a,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}function kt(t,e,r){return 32*((1<<t)*r+e)+t}function At(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new g(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}V.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(H(t[l],l));this.trees[i+1]=new j(s,K,J,a,Float32Array),r&&console.timeEnd(o);for(var u=i;u>=n;u--){var c=+Date.now();s=this._cluster(s,u),this.trees[u]=new j(s,K,J,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",u,s.length,+Date.now()-c)}return r&&console.timeEnd(\"total time\"),this},V.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],u=[],c=0,f=l.range(Y(r),X(a),Y(i),X(n));c<f.length;c+=1){var h=f[c],p=l.points[h];u.push(p.numPoints?G(p):this.points[p.index])}return u},V.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,u=i.within(a.x,a.y,o);l<u.length;l+=1){var c=u[l],f=i.points[c];f.parentId===t&&s.push(f.numPoints?G(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},V.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},V.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,u=(r+1+s)/i,c={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,u),n.points,e,r,i,c),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,u),n.points,i,r,i,c),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,u),n.points,-1,r,i,c),c.features.length?c:null},V.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},V.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},V.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],u=l.numPoints,c={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:u?W(l):this.points[l.index].properties},f=void 0;u?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(c.id=f),a.features.push(c)}},V.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(+t,this.options.maxZoom+1))},V.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=n.minPoints,l=i/(a*Math.pow(2,e)),u=0;u<t.length;u++){var c=t[u];if(!(c.zoom<=e)){c.zoom=e;for(var f=this.trees[e+1],h=f.within(c.x,c.y,l),p=c.numPoints||1,d=p,v=0,g=h;v<g.length;v+=1){var y=g[v],m=f.points[y];m.zoom>e&&(d+=m.numPoints||1)}if(d>=s){for(var x=c.x*p,b=c.y*p,_=o&&p>1?this._map(c,!0):null,w=(u<<5)+(e+1)+this.points.length,T=0,k=h;T<k.length;T+=1){var A=k[T],M=f.points[A];if(!(M.zoom<=e)){M.zoom=e;var S=M.numPoints||1;x+=M.x*S,b+=M.y*S,M.parentId=w,o&&(_||(_=this._map(c,!0)),o(_,this._map(M)))}}c.parentId=w,r.push(q(x/d,b/d,w,d,_))}else if(r.push(c),d>1)for(var E=0,L=h;E<L.length;E+=1){var C=L[E],P=f.points[C];P.zoom<=e||(P.zoom=e,r.push(P))}}}return r},V.prototype._getOriginId=function(t){return t-this.points.length>>5},V.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},V.prototype._map=function(t,e){if(t.numPoints)return e?Z({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?Z({},n):n},Tt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Tt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,u=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var c=1<<e,f=kt(e,r,n),h=this.tiles[f];if(!h&&(u>1&&console.time(\"creation\"),h=this.tiles[f]=bt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),u)){u>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){u>1&&console.time(\"clipping\");var v,g,y,m,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;v=g=y=m=null,x=lt(t,c,r-_,r+T,0,h.minX,h.maxX,l),b=lt(t,c,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(v=lt(x,c,n-_,n+T,1,h.minY,h.maxY,l),g=lt(x,c,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(y=lt(b,c,n-_,n+T,1,h.minY,h.maxY,l),m=lt(b,c,n+w,n+k,1,h.minY,h.maxY,l),b=null),u>1&&console.timeEnd(\"clipping\"),s.push(v||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(y||[],e+1,2*r+1,2*n),s.push(m||[],e+1,2*r+1,2*n+1)}}},Tt.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=kt(t,e=(e%o+o)%o,r);if(this.tiles[s])return mt(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,u=t,c=e,f=r;!l&&u>0;)u--,c=Math.floor(c/2),f=Math.floor(f/2),l=this.tiles[kt(u,c,f)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",u,c,f),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,u,c,f,t,e,r),a>1&&console.timeEnd(\"drilling 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i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new Tt(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var u={};if(i){var c=i.finish();c&&(u.resourceTiming={},u.resourceTiming[n.source]=JSON.parse(JSON.stringify(c)))}r(null,u)}))}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},r}(l);var St=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:Mt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name \"'+t+'\" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isParsed())throw new Error(\"RTL text plugin already 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s=i([\"transform\",\"WebkitTransform\"]);r.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var u=Object.defineProperty({},\"passive\",{get:function(){l=!0}});t.window.addEventListener(\"test\",u,u),t.window.removeEventListener(\"test\",u,u)}catch(t){l=!1}r.addEventListener=function(t,e,r,n){void 0===n&&(n={}),\"passive\"in n&&l?t.addEventListener(e,r,n):t.addEventListener(e,r,n.capture)},r.removeEventListener=function(t,e,r,n){void 0===n&&(n={}),\"passive\"in n&&l?t.removeEventListener(e,r,n):t.removeEventListener(e,r,n.capture)};var c=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener(\"click\",c,!0)};function f(t){var e=t.userImage;return!!(e&&e.render&&e.render())&&(t.data.replace(new Uint8Array(e.data.buffer)),!0)}r.suppressClick=function(){t.window.addEventListener(\"click\",c,!0),t.window.setTimeout((function(){t.window.removeEventListener(\"click\",c,!0)}),0)},r.mousePos=function(e,r){var n=e.getBoundingClientRect();return new t.Point(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var n=e.getBoundingClientRect(),i=[],a=0;a<r.length;a++)i.push(new t.Point(r[a].clientX-n.left-e.clientLeft,r[a].clientY-n.top-e.clientTop));return i},r.mouseButton=function(e){return void 0!==t.window.InstallTrigger&&2===e.button&&e.ctrlKey&&t.window.navigator.platform.toUpperCase().indexOf(\"MAC\")>=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e<r.length;e+=1){var n=r[e],i=n.ids,a=n.callback;this._notify(i,a)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchX\" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchY\" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"content\" value'))),n=!1),n},r.prototype._validateStretch=function(t,e){if(!t)return!0;for(var r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];if(a[0]<r||a[1]<a[0]||e<a[1])return!1;r=a[1]}return!0},r.prototype._validateContent=function(t,e){return!(t&&(4!==t.length||t[0]<0||e.data.width<t[0]||t[1]<0||e.data.height<t[1]||t[2]<0||e.data.width<t[2]||t[3]<0||e.data.height<t[3]||t[2]<t[0]||t[3]<t[1]))},r.prototype.updateImage=function(t,e){var r=this.images[t];e.version=r.version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.images[a]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event(\"styleimagemissing\",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,u=l.x+1,c=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:u,y:c-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:u-1,y:c},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u+h,y:c},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];f(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=g,d=g,v=1e20;function g(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||\"sans-serif\",this.fontWeight=a||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function y(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(m(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(m(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function m(t,e,r,n,i){r[0]=0,n[0]=-v,n[1]=+v;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+v}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}g.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?v:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?v:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(y(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),y(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1)(0,o[i])(t,e);delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,u=o.glyph;(n[s]||(n[s]={}))[l]=u&&{id:u.id,bitmap:u.bitmap.clone(),metrics:u.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=\"-transition\",T=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,w)?this._transitionable.setTransition(n.slice(0,-11),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),k=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};k.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},k.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var u=t[l];i=s*r,a=(s+=u)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===u})}return n},k.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=void 0,d=i/r*(n+1);if(l.isDash){var v=n-Math.abs(d);p=Math.sqrt(h*h+v*v)}else p=n-Math.sqrt(h*h+d*d);this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=l.isDash?h:-h;this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var u={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,u},k.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var A=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name=\"Worker \"+a,this.actors.push(s)}};function M(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}A.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},A.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},A.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},A.Actor=t.Actor;var S=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};S.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},S.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var E=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setSourceProperty=function(t){this._tileJSONRequest&&this._tileJSONRequest.cancel(),t(),this.map.style.sourceCaches[this.id].clearTiles(),this.load()},r.prototype.setTiles=function(t){var e=this;return this.setSourceProperty((function(){e._options.tiles=t})),this},r.prototype.setUrl=function(t){var e=this;return this.setSourceProperty((function(){e.url=t,e._options.url=t})),this},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(i)e.state=\"errored\",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),C=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({type:\"raster-dem\"},n),this.encoding=n.encoding||\"mapbox\"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(L),P=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,minPoints:Math.max(2,n.clusterMinPoints||2),extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties,filter:n.filter},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),O=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var u=i-r,c=a-n,f=Math.max(u,c),h=Math.max(0,Math.floor(-Math.log(f)/Math.LN2)),p=Math.pow(2,h);return new t.CanonicalTileID(h,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},r.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var z=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\"playing\",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),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,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(I),R={vector:E,raster:L,\"raster-dem\":C,geojson:P,video:z,image:I,canvas:D};function F(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function B(t,e,r,n,i,a){var o=function(t,e,r){if(t)for(var n=0,i=t;n<i.length;n+=1){var a=e[i[n]];if(a&&a.source===r&&\"fill-extrusion\"===a.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&\"fill-extrusion\"===s.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(N);for(var u=[],c=0,f=l;c<f.length;c+=1){var h=f[c];u.push({wrappedTileID:h.tileID.wrapped().key,queryResults:h.tile.queryRenderedFeatures(e,r,t._state,h.queryGeometry,h.cameraQueryGeometry,h.scale,i,a,s,F(t.transform,h.tileID))})}var p=function(t){for(var e={},r={},n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.queryResults,s=a.wrappedTileID,l=r[s]=r[s]||{};for(var u in o)for(var 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Mt=function(t,e,r){this.func=t,this.mask=e,this.range=r};Mt.ReadOnly=!1,Mt.ReadWrite=!0,Mt.disabled=new Mt(519,Mt.ReadOnly,[0,1]);var St=7680,Et=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Et.disabled=new Et({func:519,mask:0},0,0,St,St,St);var Lt=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};Lt.Replace=[1,0],Lt.disabled=new Lt(Lt.Replace,t.Color.transparent,[!1,!1,!1,!1]),Lt.unblended=new Lt(Lt.Replace,t.Color.transparent,[!0,!0,!0,!0]),Lt.alphaBlended=new Lt([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Ct=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Ct.disabled=new Ct(!1,1029,2305),Ct.backCCW=new Ct(!0,1029,2305);var Pt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new G(this),this.clearDepth=new W(this),this.clearStencil=new Y(this),this.colorMask=new X(this),this.depthMask=new Z(this),this.stencilMask=new K(this),this.stencilFunc=new J(this),this.stencilOp=new $(this),this.stencilTest=new Q(this),this.depthRange=new tt(this),this.depthTest=new et(this),this.depthFunc=new rt(this),this.blend=new nt(this),this.blendFunc=new it(this),this.blendColor=new at(this),this.blendEquation=new ot(this),this.cullFace=new st(this),this.cullFaceSide=new lt(this),this.frontFace=new ut(this),this.program=new ct(this),this.activeTexture=new ft(this),this.viewport=new ht(this),this.bindFramebuffer=new pt(this),this.bindRenderbuffer=new dt(this),this.bindTexture=new vt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new yt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new mt(this),this.pixelStoreUnpack=new xt(this),this.pixelStoreUnpackPremultiplyAlpha=new bt(this),this.pixelStoreUnpackFlipY=new _t(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(t.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\"),this.maxTextureSize=t.getParameter(t.MAX_TEXTURE_SIZE)};Pt.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Pt.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Pt.prototype.createIndexBuffer=function(t,e){return new U(this,t,e)},Pt.prototype.createVertexBuffer=function(t,e,r){return new q(this,t,e,r)},Pt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Pt.prototype.createFramebuffer=function(t,e,r){return new At(this,t,e,r)},Pt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Pt.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Pt.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Pt.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Pt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,Lt.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Pt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ot=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on(\"error\",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new R[r.type](e,r,n,i);if(a.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+a.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],a),a}(r,n,i,this),this._tiles={},this._cache=new j(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(It).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(It).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&(\"loading\"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state=\"errored\",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\"expired\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(zt(this._source.type)){for(var u={},c={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],v=this._tiles[p];if(v&&!(v.fadeEndTime&&v.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),u[g.tileID.key]=g.tileID),c[p]=d}}for(var y in this._retainLoadedChildren(c,a,s,l),u)l[y]||(this._coveredTiles[y]=!0,l[y]=u[y])}for(var m in l)this._tiles[m].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,u=t;l<u.length;l+=1){var c=u[l],f=this._addTile(c);n[c.key]=c,f.hasData()||e<this._source.maxzoom&&(s[c.key]=c)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],v=this._tiles[d.key];if(!v.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],y=this.getTile(g);if(y&&y.hasData()){n[g.key]=g;continue}}else{var m=d.children(this._source.maxzoom);if(n[m[0].key]&&n[m[1].key]&&n[m[2].key]&&n[m[3].key])continue}for(var x=v.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(v=this.getTile(_))&&x&&(v=this._addTile(_)),v&&(n[_.key]=_,x=v.wasRequested(),v.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,\"expired\"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),u=s.map((function(t){return o.pointCoordinate(t)})),c=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,v=0,g=u;v<g.length;v+=1){var y=g[v];f=Math.min(f,y.x),h=Math.min(h,y.y),p=Math.max(p,y.x),d=Math.max(d,y.y)}for(var m=function(e){var n=i._tiles[c[e]];if(!n.holdingForFade()){var s=n.tileID,v=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/v,y=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(y[0].x-g<t.EXTENT&&y[0].y-g<t.EXTENT&&y[1].x+g>=0&&y[1].y+g>=0){var m=l.map((function(t){return s.getTilePoint(t)})),x=u.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:m,cameraQueryGeometry:x,scale:v})}}},x=0;x<c.length;x++)m(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(zt(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\");this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function It(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function zt(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function Dt(){return new t.window.Worker(oa.workerUrl)}Ot.maxOverzooming=10,Ot.maxUnderzooming=3;var Rt=\"mapboxgl_preloaded_worker_pool\",Ft=function(){this.active={}};Ft.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Ft.workerCount;)this.workers.push(new Dt);return this.active[t]=!0,this.workers.slice()},Ft.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Ft.prototype.isPreloaded=function(){return!!this.active[Rt]},Ft.prototype.numActive=function(){return Object.keys(this.active).length};var Bt,Nt=Math.floor(t.browser.hardwareConcurrency/2);function jt(){return Bt||(Bt=new Ft),Bt}function Ut(e,r){var n={};for(var i in e)\"ref\"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function Vt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Ut(t[n],e[t[n].ref]));return t}Ft.workerCount=Math.max(Math.min(Nt,6),1);var qt={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function Ht(t,e,r){r.push({command:qt.addSource,args:[t,e[t]]})}function Gt(t,e,r){e.push({command:qt.removeSource,args:[t]}),r[t]=!0}function Wt(t,e,r,n){Gt(t,r,n),Ht(t,e,r)}function Yt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Xt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Zt(t){return t.id}function Kt(t,e){return t[e.id]=e,t}function Jt(e,r){if(!e)return[{command:qt.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:qt.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:qt.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:qt.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:qt.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:qt.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:qt.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:qt.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:qt.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:qt.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Gt(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||(\"geojson\"===e[a].type&&\"geojson\"===r[a].type&&Yt(e,r,a)?n.push({command:qt.setGeoJSONSourceData,args:[a,r[a].data]}):Wt(a,r,n,i)):Ht(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:qt.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,u,c,f=(e=e||[]).map(Zt),h=r.map(Zt),p=e.reduce(Kt,{}),d=r.reduce(Kt,{}),v=f.slice(),g=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:qt.removeLayer,args:[o]}),v.splice(v.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],v[v.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:qt.removeLayer,args:[o]}),v.splice(v.lastIndexOf(o,v.length-a),1)):a++,u=v[v.length-i],n.push({command:qt.addLayer,args:[d[o],u]}),v.splice(v.length-i,0,o),g[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!g[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(c in Xt(s.layout,l.layout,n,o,null,qt.setLayoutProperty),Xt(s.paint,l.paint,n,o,null,qt.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:qt.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:qt.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(c)&&\"layout\"!==c&&\"paint\"!==c&&\"filter\"!==c&&\"metadata\"!==c&&\"minzoom\"!==c&&\"maxzoom\"!==c&&(0===c.indexOf(\"paint.\")?Xt(s[c],l[c],n,o,c.slice(6),qt.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:qt.setLayerProperty,args:[o,c,l[c]]}));for(c in l)l.hasOwnProperty(c)&&!s.hasOwnProperty(c)&&\"layout\"!==c&&\"paint\"!==c&&\"filter\"!==c&&\"metadata\"!==c&&\"minzoom\"!==c&&\"maxzoom\"!==c&&(0===c.indexOf(\"paint.\")?Xt(s[c],l[c],n,o,c.slice(6),qt.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:qt.setLayerProperty,args:[o,c,l[c]]}))}else n.push({command:qt.removeLayer,args:[o]}),u=v[v.lastIndexOf(o)+1],n.push({command:qt.addLayer,args:[l,u]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:qt.setStyle,args:[r]}]}return n}var $t=function(t,e){this.reset(t,e)};$t.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},$t.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Qt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function te(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function ee(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function re(e,r){var n=[e.x,e.y,0,1];pe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ne(t,e){return.5+t/e*.5}function ie(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ae(e,r,n,i,a,o,s,l){var u=i?e.textSizeData:e.iconSizeData,c=t.evaluateSizeForZoom(u,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,v=n.transform.width/n.transform.height,g=!1,y=0;y<d.length;y++){var m=d.get(y);if(m.hidden||m.writingMode===t.WritingMode.vertical&&!g)he(m.numGlyphs,h);else{g=!1;var x=[m.anchorX,m.anchorY,0,1];if(t.transformMat4(x,x,r),ie(x,f)){var b=x[3],_=ne(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(u,c,m),T=s?w/_:w*_,k=new t.Point(m.anchorX,m.anchorY),A=re(k,a).point,M={},S=le(m,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&le(m,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v).notEnoughRoom)&&he(m.numGlyphs,h)}else he(m.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function oe(t,e,r,n,i,a,o,s,l,u,c){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),v=e.getoffsetX(f-1),g=ce(t*d,r,n,i,a,o,s.segment,h,p,l,u,c);if(!g)return null;var y=ce(t*v,r,n,i,a,o,s.segment,h,p,l,u,c);return y?{first:g,last:y}:null}function se(e,r,n,i){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function le(e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=r/24,y=e.lineOffsetX*g,m=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=oe(g,l,y,m,n,f,h,e,u,o,p);if(!w)return{notEnoughRoom:!0};var T=re(w.first.point,s).point,k=re(w.last.point,s).point;if(i&&!n){var A=se(e.writingMode,T,k,d);if(A)return A}v=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)v.push(ce(g*l.getoffsetX(M),y,m,n,f,h,e.segment,b,_,u,o,p));v.push(w.last)}else{if(i&&!n){var S=re(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(u.getx(E),u.gety(E)),C=re(L,a),P=C.signedDistanceFromCamera>0?C.point:ue(h,L,S,1,a),O=se(e.writingMode,S,P,d);if(O)return O}var I=ce(g*l.getoffsetX(e.glyphStartIndex),y,m,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,u,o,p);if(!I)return{notEnoughRoom:!0};v=[I]}for(var z=0,D=v;z<D.length;z+=1){var R=D[z];t.addDynamicAttributes(c,R.point,R.angle)}return{}}function ue(t,e,r,n,i){var a=re(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function ce(e,r,n,i,a,o,s,l,u,c,f,h){var p=i?e-r:e+r,d=p>0?1:-1,v=0;i&&(d*=-1,v=Math.PI),d<0&&(v+=Math.PI);for(var g=d>0?l+s:l+s+1,y=a,m=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)<l||g>=u)return null;if(m=y,w.push(y),void 0===(y=h[g])){var T=new t.Point(c.getx(g),c.gety(g)),k=re(T,f);if(k.signedDistanceFromCamera>0)y=h[g]=k.point;else{var A=g-d;y=ue(0===x?o:new t.Point(c.getx(A),c.gety(A)),T,m,_-x+1,f)}}x+=b,b=m.dist(y)}var M=(_-x)/b,S=y.sub(m),E=S.mult(M)._add(m);E._add(S._unit()._perp()._mult(n*d));var L=v+Math.atan2(y.y-m.y,y.x-m.x);return w.push(E),{point:E,angle:L,path:w}}Qt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Qt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Qt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Qt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Qt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var u=this.circles[3*l],c=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:u-f,y1:c-f,x2:u+f,y2:c+f})}return a?o.filter(a):o}var h={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,h,a),i?o.length>0:o},Qt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var u=[],c={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,u,c,i),n?u.length>0:u},Qt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Qt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Qt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Qt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,u=this.boxCells[i];if(null!==u)for(var c=this.bboxes,f=0,h=u;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=c[d+2]&&e<=c[d+3]&&r>=c[d+0]&&n>=c[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:c[d],y1:c[d+1],x2:c[d+2],y2:c[d+3]})}}}var v=this.circleCells[i];if(null!==v)for(var g=this.circles,y=0,m=v;y<m.length;y+=1){var x=m[y];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(g[b],g[b+1],g[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=g[b],w=g[b+1],T=g[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Qt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,u=o.seenUids,c=this.boxCells[i];if(null!==c)for(var f=this.bboxes,h=0,p=c;h<p.length;h+=1){var d=p[h];if(!u.box[d]){u.box[d]=!0;var v=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[v+0],f[v+1],f[v+2],f[v+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var y=this.circles,m=0,x=g;m<x.length;m+=1){var b=x[m];if(!u.circle[b]){u.circle[b]=!0;var _=3*b;if(this._circlesCollide(y[_],y[_+1],y[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Qt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),u=this._convertToYCellCoord(e),c=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=c;h++)for(var p=u;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Qt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Qt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Qt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Qt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var u=(o-i)/2,c=Math.abs(e-(i+u));if(c>u+r)return!1;if(l<=s||c<=u)return!0;var f=l-s,h=c-u;return f*f+h*h<=r*r};var fe=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function he(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(fe,3*n)}}function pe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var de=100,ve=function(t,e,r){void 0===e&&(e=new Qt(t.width+200,t.height+200,25)),void 0===r&&(r=new Qt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+de,this.screenBottomBoundary=t.height+de,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function ge(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}ve.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,u=t.x2*o+a.point.x,c=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,u,c)||!e&&this.grid.hitTest(s,l,u,c,i)?{box:[],offscreen:!1}:{box:[s,l,u,c],offscreen:this.isOffscreen(s,l,u,c)}},ve.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,u,c,f,h,p){var d=[],v=new t.Point(r.anchorX,r.anchorY),g=re(v,o),y=ne(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),m=(c?a/y:a*y)/t.ONE_EM,x=re(v,s).point,b=oe(m,i,r.lineOffsetX*m,r.lineOffsetY*m,!1,x,v,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*y+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new $t,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var O=1;O<L.path.length;O++)C.push(L.path[O]);var I=2.5*k;if(l){var z=C.map((function(t){return re(t,l)}));C=z.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:z.map((function(t){return t.point}))}var D=[];if(C.length>0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B<C.length;B++)R.x=Math.min(R.x,C[B].x),R.y=Math.min(R.y,C[B].y),F.x=Math.max(F.x,C[B].x),F.y=Math.max(F.y,C[B].y);D=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=D;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/I)+1;for(var q=0;q<V;q++){var H=q/Math.max(V-1,1),G=S.lerp(H),W=G.x+de,Y=G.y+de;d.push(W,Y,k,0);var X=W-k,Z=Y-k,K=W+k,J=Y+k;if(T=T&&this.isOffscreen(X,Z,K,J),w=w||this.isInsideGrid(X,Z,K,J),!e&&this.grid.hitTestCircle(W,Y,k,f)&&(_=!0,!u))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!u&&_||!w?[]:d,offscreen:T,collisionDetected:_}},ve.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var u=l[s],c=new t.Point(u.x+de,u.y+de);n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y),r.push(c)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var v=d[p],g=v.key;if(void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]={}),!f[g.bucketInstanceId][g.featureIndex]){var y=[new t.Point(v.x1,v.y1),new t.Point(v.x2,v.y1),new t.Point(v.x2,v.y2),new t.Point(v.x1,v.y2)];t.polygonIntersectsPolygon(r,y)&&(f[g.bucketInstanceId][g.featureIndex]=!0,void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]=[]),h[g.bucketInstanceId].push(g.featureIndex))}}return h},ve.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},ve.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},ve.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return pe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+de,(-i[1]/i[3]+1)/2*this.transform.height+de),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},ve.prototype.isOffscreen=function(t,e,r,n){return r<de||t>=this.screenRightBoundary||n<de||e>this.screenBottomBoundary},ve.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},ve.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var ye=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};ye.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var me=function(t,e,r,n,i){this.text=new ye(t?t.text:null,e,r,i),this.icon=new ye(t?t.icon:null,e,n,i)};me.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var xe=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},be=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},_e=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},we=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function Te(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point(s+u[0]*a,l+u[1]*a)}function ke(e,r,n,i,a,o){var s=e.x1,l=e.x2,u=e.y1,c=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:u+p.y,x2:l+p.x,y2:c+p.y,anchorPointX:f,anchorPointY:h}}we.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var Ae=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new ve(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new we(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Me(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}Ae.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,u=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),c=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=ge(n,1,this.transform.zoom),v=te(f,h,p,this.transform,d),g=null;if(h){var y=ee(f,h,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,y)}this.retainedQueryData[a.bucketInstanceId]=new _e(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var m={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:v,labelToScreenMatrix:g,scale:u,textPixelRatio:c,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x],w=_.sortKey,T=_.symbolInstanceStart,k=_.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:m})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:m})}},Ae.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=[f.textOffset0,f.textOffset1],y=Te(t,r,n,g,i),m=this.collisionIndex.placeCollisionBox(ke(e,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate);if(!d||0!==this.collisionIndex.placeCollisionBox(ke(d,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate).box.length)return m.box.length>0?(this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(v=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:v},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:y,placedGlyphBoxes:m}):void 0},Ae.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,u=a.textLabelPlaneMatrix,c=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,v=a.collisionGroup,g=s.get(\"text-optional\"),y=s.get(\"icon-optional\"),m=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=m&&(x||!o.hasIconData()||y),A=x&&(m||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new xe(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,O=null,I=0,z=0,D=0;a.textFeatureIndex?I=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(I=e.featureIndex),a.verticalTextFeatureIndex&&(z=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length&&(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),!(L&&L.box&&L.box.length));i+=1);else L=r()};if(s.get(\"text-variable-anchor\")){var N=s.get(\"text-variable-anchor\");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,u=e.textBoxScale,c=w&&!x?r:null,h={box:[],offscreen:!1},p=m?2*N.length:N.length,d=0;d<p;++d){var g=N[d%N.length],y=d>=N.length,k=i.attemptAnchorPlacement(g,t,a,s,u,b,_,f,l,v,y,e,o,n,c);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var 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,m,f,l,v.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return 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(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),W=t.evaluateSizeForFeature(o.textSizeData,d,G),Y=s.get(\"text-padding\"),X=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(m,G,o.lineVertexArray,o.glyphOffsetArray,W,l,u,c,n,_,v.predicate,X,Y),T=m||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(D=a.iconFeatureIndex),a.iconBox){var Z=function(t){var e=w&&E?ke(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,v.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(O=Z(a.verticalIconBox)).box.length>0:(O=Z(a.iconBox)).box.length>0,S=S&&O.offscreen}var K=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,J=y||0===e.numIconVertices;if(K||J?J?K||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&z?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,v.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,I,v.ID)),M&&O&&i.collisionIndex.insertCollisionBox(O.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,D,v.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,I,v.ID),n)){var $=o.bucketInstanceId,Q=i.collisionCircleArrays[$];void 0===Q&&(Q=i.collisionCircleArrays[$]=new be);for(var tt=0;tt<P.circles.length;tt+=4)Q.circles.push(P.circles[tt+0]),Q.circles.push(P.circles[tt+1]),Q.circles.push(P.circles[tt+2]),Q.circles.push(P.collisionDetected?1:0)}i.placements[e.crossTileID]=new xe(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C<e.symbolInstanceEnd;C++)M(o.symbolInstances.get(C),o.collisionArrays[C]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},Ae.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var u=l[s];u>=0&&(e.text.placedSymbolArray.get(u).crossTileID=a>=0&&u!==a?0:n.crossTileID)}},Ae.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},Ae.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],u=i[s];u?(this.opacities[s]=new me(u,n,l.text,l.icon),r=r||l.text!==u.text.placed||l.icon!==u.icon.placed):(this.opacities[s]=new me(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var c in i){var f=i[c];if(!this.opacities[c]){var h=new me(f,n,!1,!1);h.isHidden()||(this.opacities[c]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},Ae.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},Ae.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new me(null,0,!1,!1,!0),s=a.get(\"text-allow-overlap\"),l=a.get(\"icon-allow-overlap\"),u=a.get(\"text-variable-anchor\"),c=\"map\"===a.get(\"text-rotation-alignment\"),f=\"map\"===a.get(\"text-pitch-alignment\"),h=\"none\"!==a.get(\"icon-text-fit\"),p=new me(null,0,s&&(l||!e.hasIconData()||a.get(\"icon-optional\")),l&&(s||!e.hasTextData()||a.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},v=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,v=a.crossTileID,g=r[v],y=i.opacities[v];g?y=o:y||(y=p,i.opacities[v]=y),r[v]=!0;var m=s>0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(m){var T=ze(y.text),k=_?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||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\"left\",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=ze(y.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:De;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var O=C?De:L;d(e.icon,a.numVerticalIconVertices,O),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var I=e.collisionArrays[n];if(I){var z=new t.Point(0,0);if(I.textBox||I.verticalTextBox){var D=!0;if(u){var R=i.variableOffsets[v];R?(z=Te(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),c&&z._rotate(f?i.transform.angle:-i.transform.angle)):D=!1}I.textBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!D||_,z.x,z.y),I.verticalTextBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!D||w,z.x,z.y)}var F=Boolean(!w&&I.verticalIconBox);I.iconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,F,h?z.x:0,h?z.y:0),I.verticalIconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,!F,h?z.x:0,h?z.y:0)}}},g=0;g<e.symbolInstances.length;g++)v(g);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var y=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=y.invProjMatrix,e.placementViewportMatrix=y.viewportMatrix,e.collisionCircleArray=y.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},Ae.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},Ae.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},Ae.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},Ae.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},Ae.prototype.setStale=function(){this.stale=!0};var Se=Math.pow(2,25),Ee=Math.pow(2,24),Le=Math.pow(2,17),Ce=Math.pow(2,16),Pe=Math.pow(2,9),Oe=Math.pow(2,8),Ie=Math.pow(2,1);function ze(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Se+e*Ee+r*Le+e*Ce+r*Pe+e*Oe+r*Ie+e}var 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._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var Fe=function(t,e,r,n,i,a,o){this.placement=new Ae(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};Fe.prototype.isDone=function(){return this._done},Fe.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Re(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Fe.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Be=512/t.EXTENT/2,Ne=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Ne.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=Be/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Ne.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,u=o;l<u.length;l+=1){var c=u[l];if(Math.abs(c.coord.x-s.x)<=n&&Math.abs(c.coord.y-s.y)<=n&&!r[c.crossTileID]){r[c.crossTileID]=!0,a.crossTileID=c.crossTileID;break}}}}};var je=function(){this.maxCrossTileID=0};je.prototype.generate=function(){return++this.maxCrossTileID};var Ue=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Ue.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Ue.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++)e.symbolInstances.get(n).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var u=o[t.scaledTo(Number(a)).key];u&&u.findMatches(e.symbolInstances,t,i)}}for(var c=0;c<e.symbolInstances.length;c++){var f=e.symbolInstances.get(c);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Ne(t,e.symbolInstances,e.bucketInstanceId),!0},Ue.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Ue.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ve=function(){this.layerIndexes={},this.crossTileIDs=new je,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ve.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Ue);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],u=l.getBucket(t);u&&t.id===u.layerIds[0]&&(u.bucketInstanceId||(u.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,u,this.crossTileIDs)&&(i=!0),a[u.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ve.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var qe=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},He=t.pick(qt,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ge=t.pick(qt,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),We=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a;null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}}return e}(),Ye=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new A(jt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new k(256,512),this.crossTileSymbolIndex=new Ve,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast(\"syncRTLPluginState\",r,(function(e,r){if(t.triggerPluginCompletionEvent(e),r&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on(\"data\",(function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var i=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(We,!1)},r.prototype._load=function(e,r){if(!r||!qe(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=Vt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new T(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,c())})),u=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){u=null,o||(o=t,a=e,c())}));function c(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],u=l.width,c=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,v=l.stretchX,g=l.stretchY,y=l.content,m=new t.RGBAImage({width:u,height:c});t.RGBAImage.copy(e,m,{x:f,y:h},{x:0,y:0},{width:u,height:c}),r[s]={data:m,pixelRatio:d,sdf:p,stretchX:v,stretchY:g,content:y}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),u&&(u.cancel(),u=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];\"custom\"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];\"reload\"===o?this._reloadSource(a):\"clear\"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}var l={};for(var u in this.sourceCaches){var c=this.sourceCaches[u];l[u]=c.used,c.used=!1}for(var f=0,h=this._order;f<h.length;f+=1){var p=h[f],d=this._layers[p];d.recalculate(e,this._availableImages),!d.isHidden(e.zoom)&&d.source&&(this.sourceCaches[d.source].used=!0)}for(var v in l){var g=this.sourceCaches[v];l[v]!==g.used&&g.fire(new t.Event(\"data\",{sourceDataType:\"visibility\",dataType:\"source\",sourceId:v}))}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),qe(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=Vt(e.layers);var n=Jt(this.serialize(),e).filter((function(t){return!(t.command in Ge)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in He)}));if(i.length>0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._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 Ot(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(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<l.length;s+=1){var u=l[s][o];if(u)for(var c=0,f=u;c<f.length;c+=1){var h=f[c];i.push(h)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var v=this._order[d];if(r(v))for(var g=i.length-1;g>=0;g--){var y=i[g].feature;if(n[y.layer.id]<d)break;p.push(y),i.pop()}else for(var m=0,x=t;m<x.length;m+=1){var b=x[m][v];if(b)for(var _=0,w=b;_<w.length;_+=1){var T=w[_];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];i[l.source]=!0}}var u=[];for(var c in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[c]||u.push(B(this.sourceCaches[c],this._layers,this._serializedLayers,e,r,n));return this.placement&&u.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),u=[],c=0,f=Object.keys(l).map(Number);c<f.length;c+=1){var h=f[c];u.push(o[h])}u.sort(N);for(var p=function(){var r=v[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],u=n[a];u.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var c=0,f=u;c<f.length;c+=1){var h=f[c];o.push(h)}}},d=0,v=u;d<v.length;d+=1)p();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=o}))};for(var y in s)g(y);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(u)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&qe(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers)this._layers[e].setEventedParent(null);for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},u=0,c=this._order;u<c.length;u+=1){var f=c[u],h=this._layers[f];if(\"symbol\"===h.type){if(!l[h.source]){var p=this.sourceCaches[h.source];l[h.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new Fe(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var v=0,g=this._order;v<g.length;v+=1){var y=g[v],m=this._layers[y];\"symbol\"===m.type&&this.placement.updateLayerOpacities(m,l[m.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);Ye.getSourceType=function(t){return R[t]},Ye.setSourceType=function(t,e){R[t]=e},Ye.registerForPluginStateChange=t.registerForPluginStateChange;var Xe=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Ze=_r(\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\",\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\"),Ke=_r(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Je=_r(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),$e=_r(\"varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),Qe=_r(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),tr=_r(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),er=_r(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),rr=_r(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),nr=_r(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),ir=_r(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),ar=_r(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),or=_r(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),sr=_r(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),lr=_r(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),ur=_r(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),cr=_r(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),fr=_r(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform 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;}\"),hr=_r(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),pr=_r(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),dr=_r(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp 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);}\"),vr=_r(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),gr=_r(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),yr=_r(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),mr=_r(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),xr=_r(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),br=_r(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function _r(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n=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:Ze,background:Ke,backgroundPattern:Je,circle:$e,clippingMask:Qe,heatmap:tr,heatmapTexture:er,collisionBox:rr,collisionCircle:nr,debug:ir,fill:ar,fillOutline:or,fillOutlinePattern:sr,fillPattern:lr,fillExtrusion:ur,fillExtrusionPattern:cr,hillshadePrepare:fr,hillshade:hr,line:pr,lineGradient:dr,linePattern:vr,lineSDF:gr,raster:yr,symbolIcon:mr,symbolSDF:xr,symbolTextAndIcon:br}),Tr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};function kr(t){for(var e=[],r=0;r<t.length;r++)if(null!==t[r]){var n=t[r].split(\" \");e.push(n.pop())}return e}Tr.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,u=0;!l&&u<n.length;u++)this.boundPaintVertexBuffers[u]!==n[u]&&(l=!0);var c=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||c?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},Tr.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,u=this.context,c=u.gl;if(u.extVertexArrayObject)this.vao&&this.destroy(),this.vao=u.extVertexArrayObject.createVertexArrayOES(),u.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=u.currentNumAttributes||0;for(var f=l;f<s;f++)c.disableVertexAttribArray(f)}e.enableAttributes(c,t);for(var h=0,p=r;h<p.length;h+=1)p[h].enableAttributes(c,t);a&&a.enableAttributes(c,t),o&&o.enableAttributes(c,t),e.bind(),e.setVertexAttribPointers(c,t,i);for(var d=0,v=r;d<v.length;d+=1){var g=v[d];g.bind(),g.setVertexAttribPointers(c,t,i)}a&&(a.bind(),a.setVertexAttribPointers(c,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(c,t,i)),u.currentNumAttributes=l},Tr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var Ar=function(t,e,r,n,i,a){var o=t.gl;this.program=o.createProgram();for(var s=kr(r.staticAttributes),l=n?n.getBinderAttributes():[],u=s.concat(l),c=r.staticUniforms?kr(r.staticUniforms):[],f=n?n.getBinderUniforms():[],h=[],p=0,d=c.concat(f);p<d.length;p+=1){var v=d[p];h.indexOf(v)<0&&h.push(v)}var g=n?n.defines():[];a&&g.push(\"#define OVERDRAW_INSPECTOR;\");var y=g.concat(Ze.fragmentSource,r.fragmentSource).join(\"\\n\"),m=g.concat(Ze.vertexSource,r.vertexSource).join(\"\\n\"),x=o.createShader(o.FRAGMENT_SHADER);if(o.isContextLost())this.failedToCreate=!0;else{o.shaderSource(x,y),o.compileShader(x),o.attachShader(this.program,x);var b=o.createShader(o.VERTEX_SHADER);if(o.isContextLost())this.failedToCreate=!0;else{o.shaderSource(b,m),o.compileShader(b),o.attachShader(this.program,b),this.attributes={};var _={};this.numAttributes=u.length;for(var w=0;w<this.numAttributes;w++)u[w]&&(o.bindAttribLocation(this.program,w,u[w]),this.attributes[u[w]]=w);o.linkProgram(this.program),o.deleteShader(b),o.deleteShader(x);for(var T=0;T<h.length;T++){var k=h[T];if(k&&!_[k]){var A=o.getUniformLocation(this.program,k);A&&(_[k]=A)}}this.fixedUniforms=i(t,_),this.binderUniforms=n?n.getUniforms(t,_):[]}}};function Mr(t,e,r){var n=1/ge(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}Ar.prototype.draw=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=t.gl;if(!this.failedToCreate){for(var m in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[m].set(o[m]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[y.LINES]=2,g[y.TRIANGLES]=3,g[y.LINE_STRIP]=1,g)[e],b=0,_=c.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new Tr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],u,w.vertexOffset,d,v),y.drawElements(e,w.primitiveLength*x,y.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Sr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var u=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[u.r,u.g,u.b],u_vertical_gradient:+n,u_opacity:i}},Er=function(e,r,n,i,a,o,s){return t.extend(Sr(e,r,n,i),Mr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Lr=function(t){return{u_matrix:t}},Cr=function(e,r,n,i){return t.extend(Lr(e),Mr(n,r,i))},Pr=function(t,e){return{u_matrix:t,u_world:e}},Or=function(e,r,n,i,a){return t.extend(Cr(e,r,n,i),{u_world:a})},Ir=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=ge(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},zr=function(t,e,r){var n=ge(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Dr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Rr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Fr=function(t){return{u_matrix:t}},Br=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ge(e,1,r),u_intensity:n}},Nr=function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get(\"heatmap-opacity\")}},jr=function(e,r,n){var i=n.paint.get(\"hillshade-shadow-color\"),a=n.paint.get(\"hillshade-highlight-color\"),o=n.paint.get(\"hillshade-accent-color\"),s=n.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===n.paint.get(\"hillshade-illumination-anchor\")&&(s-=e.transform.angle);var l,u,c,f=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),f),u_image:0,u_latrange:(l=r.tileID,u=Math.pow(2,l.canonical.z),c=l.canonical.y,[new t.MercatorCoordinate(0,c/u).toLngLat().lat,new t.MercatorCoordinate(0,(c+1)/u).toLngLat().lat]),u_light:[n.paint.get(\"hillshade-exaggeration\"),s],u_shadow:i,u_highlight:a,u_accent:o}},Ur=function(e,r){var n=r.stride,i=t.create();return t.ortho(i,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(i,i,[0,-t.EXTENT,0]),{u_matrix:i,u_image:1,u_dimension:[n,n],u_zoom:e.overscaledZ,u_unpack:r.getUnpackVector()}};var Vr=function(e,r,n){var i=e.transform;return{u_matrix:Yr(e,r,n),u_ratio:1/ge(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},qr=function(e,r,n,i){return t.extend(Vr(e,r,n),{u_image:0,u_image_height:i})},Hr=function(e,r,n,i){var a=e.transform,o=Wr(r,a);return{u_matrix:Yr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/ge(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Gr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=Wr(r,o),u=\"round\"===n.layout.get(\"line-cap\"),c=s.getDash(i.from,u),f=s.getDash(i.to,u),h=c.width*a.fromScale,p=f.width*a.toScale;return t.extend(Vr(e,r,n),{u_patternscale_a:[l/h,-c.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:c.y,u_tex_y_b:f.y,u_mix:a.t})};function Wr(t,e){return 1/ge(t,1,e.tileZoom)}function Yr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Xr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\"raster-brightness-min\"),u_brightness_high:i.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=i.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\"raster-contrast\"),a>0?1/(1-a):1+a),u_spin_weights:Zr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Zr(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 Kr,Jr=function(t,e,r,n,i,a,o,s,l,u){var c=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:c.cameraToCenterDistance,u_pitch:c.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:c.width/c.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:u,u_texture:0}},$r=function(e,r,n,i,a,o,s,l,u,c,f){var h=a.transform;return t.extend(Jr(e,r,n,i,a,o,s,l,u,c),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Qr=function(e,r,n,i,a,o,s,l,u,c){return t.extend($r(e,r,n,i,a,o,s,l,!0,u,!0),{u_texsize_icon:c,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,u=Math.pow(2,n.tileID.overscaledZ),c=n.tileSize*Math.pow(2,r.transform.tileZoom)/u,f=c*(n.tileID.canonical.x+n.tileID.wrap*u),h=c*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/ge(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},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,u=l.gl,c=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d<i.length;d++){var v=i[d],g=r.getTile(v),y=g.getBucket(n);if(y){var m=v.posMatrix;0===a[0]&&0===a[1]||(m=e.translatePosMatrix(v.posMatrix,g,a,o));var x=s?y.textCollisionBox:y.iconCollisionBox,b=y.collisionCircleArray;if(b.length>0){var _=t.create(),w=m;t.mul(_,y.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,y.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&c.draw(l,u.LINES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,zr(m,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M<S.length;M+=1)for(var E=S[M],L=0;L<E.circleArray.length/4;L++){var C=4*L,P=E.circleArray[C+0],O=E.circleArray[C+1],I=E.circleArray[C+2],z=E.circleArray[C+3];k.emplace(A++,P,O,I,z,0),k.emplace(A++,P,O,I,z,1),k.emplace(A++,P,O,I,z,2),k.emplace(A++,P,O,I,z,3)}(!Kr||Kr.length<2*h)&&(Kr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var D=l.createIndexBuffer(Kr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=Dr(N.transform,N.invTransform,e.transform);T.draw(l,u.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,j,n.id,R,D,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),D.destroy()}}var an=t.identity(new Float32Array(16));function on(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,u=-(s.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point((l/a+c[0])*o,(u/a+c[1])*o)}function sn(e,r,n,i,a,o,s,l,u,c,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,v={};p.clear();for(var g=0;g<h.length;g++){var y=h.get(g),m=e.allowVerticalPlacement&&!y.placedOrientation,x=y.hidden||!y.crossTileID||m?null:i[y.crossTileID];if(x){var b=new t.Point(y.anchorX,y.anchorY),_=re(b,n?l:s),w=ne(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,c,y)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/u);for(var k=x.width,A=x.height,M=on(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?re(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&y.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<y.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&y.associatedIconIndex>=0&&(v[y.associatedIconIndex]={shiftedAnchor:S,angle:E})}else he(y.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P<C.length;P++){var O=C.get(P);if(O.hidden)he(O.numGlyphs,d);else{var I=v[P];if(I)for(var z=0;z<O.numGlyphs;z++)t.addDynamicAttributes(d,I.shiftedAnchor,I.angle);else he(O.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function ln(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function un(e,r,n,i,a,o,s,l,u,c,f,h){for(var p=e.context,d=p.gl,v=e.transform,g=\"map\"===l,y=\"map\"===u,m=g&&\"point\"!==n.layout.get(\"symbol-placement\"),x=g&&!y&&!m,b=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),_=!1,w=e.depthModeForSublayer(0,Mt.ReadOnly),T=n.layout.get(\"text-variable-anchor\"),k=[],A=0,M=i;A<M.length;A+=1){var S=M[A],E=r.getTile(S),L=E.getBucket(n);if(L){var C=a?L.text:L.icon;if(C&&C.segments.get().length){var P=C.programConfigurations.get(n.id),O=a||L.sdfIcons,I=a?L.textSizeData:L.iconSizeData,z=y||0!==v.pitch,D=e.useProgram(ln(O,a,L),P),R=t.evaluateSizeForZoom(I,v.zoom),F=void 0,B=[0,0],N=void 0,j=void 0,U=null,V=void 0;if(a){if(N=E.glyphAtlasTexture,j=d.LINEAR,F=E.glyphAtlasTexture.size,L.iconsInText){B=E.imageAtlasTexture.size,U=E.imageAtlasTexture;var q=\"composite\"===I.kind||\"camera\"===I.kind;V=z||e.options.rotating||e.options.zooming||q?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get(\"icon-size\").constantOr(0)||L.iconsNeedLinear;N=E.imageAtlasTexture,j=O||e.options.rotating||e.options.zooming||H||z?d.LINEAR:d.NEAREST,F=E.imageAtlasTexture.size}var G=ge(E,1,e.transform.zoom),W=te(S.posMatrix,y,g,e.transform,G),Y=ee(S.posMatrix,y,g,e.transform,G),X=T&&L.hasTextData(),Z=\"none\"!==n.layout.get(\"icon-text-fit\")&&X&&L.hasIconData();m&&ae(L,S.posMatrix,e,a,W,Y,y,c);var K=e.translatePosMatrix(S.posMatrix,E,o,s),J=m||a&&T||Z?an:W,$=e.translatePosMatrix(Y,E,o,s,!0),Q=O&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),tt={program:D,buffers:C,uniformValues:O?L.iconsInText?Qr(I.kind,R,x,y,e,K,J,$,F,B):$r(I.kind,R,x,y,e,K,J,$,a,F,!0):Jr(I.kind,R,x,y,e,K,J,$,a,F),atlasTexture:N,atlasTextureIcon:U,atlasInterpolation:j,atlasInterpolationIcon:V,isSDF:O,hasHalo:Q};if(b&&L.canOverlap){_=!0;for(var et=0,rt=C.segments.get();et<rt.length;et+=1){var nt=rt[et];k.push({segments:new t.SegmentVector([nt]),sortKey:nt.sortKey,state:tt})}}else k.push({segments:C.segments,sortKey:0,state:tt})}}}_&&k.sort((function(t,e){return t.sortKey-e.sortKey}));for(var it=0,at=k;it<at.length;it+=1){var ot=at[it],st=ot.state;if(p.activeTexture.set(d.TEXTURE0),st.atlasTexture.bind(st.atlasInterpolation,d.CLAMP_TO_EDGE),st.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),st.atlasTextureIcon&&st.atlasTextureIcon.bind(st.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),st.isSDF){var lt=st.uniformValues;st.hasHalo&&(lt.u_is_halo=1,cn(st.buffers,ot.segments,n,e,st.program,w,f,h,lt)),lt.u_is_halo=0}cn(st.buffers,ot.segments,n,e,st.program,w,f,h,st.uniformValues)}}function cn(t,e,r,n,i,a,o,s,l){var u=n.context,c=u.gl;i.draw(u,c.TRIANGLES,a,o,s,Ct.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function fn(t,e,r,n,i,a,o){var s,l,u,c,f,h=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),v=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=h.LINES):(l=d?\"fillPattern\":\"fill\",s=h.TRIANGLES);for(var g=0,y=n;g<y.length;g+=1){var m=y[g],x=e.getTile(m);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(v));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&_.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(m.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){c=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];u=\"fillOutlinePattern\"===l&&d?Or(S,t,v,x,E):Pr(S,E)}else c=b.indexBuffer,f=b.segments,u=d?Cr(S,t,v,x):Lr(S);w.draw(t.context,s,i,t.stencilModeForClipping(m),a,Ct.disabled,u,r.id,b.layoutVertexBuffer,c,f,r.paint,t.transform.zoom,_)}}}}function hn(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,u=r.paint.get(\"fill-extrusion-pattern\"),c=u.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var v=d[p],g=e.getTile(v),y=g.getBucket(r);if(y){var m=y.programConfigurations.get(r.id),x=t.useProgram(c?\"fillExtrusionPattern\":\"fillExtrusion\",m);c&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),m.updatePaintBuffers(f));var b=u.constantOr(null);if(b&&g.imageAtlas){var _=g.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&m.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(v.posMatrix,g,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),A=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=c?Er(k,t,A,h,v,f,g):Sr(k,t,A,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Ct.backCCW,M,r.id,y.layoutVertexBuffer,y.indexBuffer,y.segments,r.paint,t.transform.zoom,m)}}}function pn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var u=t.useProgram(\"hillshade\");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var c=jr(t,e,r);u.draw(o,s.TRIANGLES,n,i,a,Ct.disabled,c,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function dn(e,r,n,i,a,o){var s=e.context,l=s.gl,u=r.dem;if(u&&u.data){var c=u.dim,f=u.stride,h=u.getPixels();if(s.activeTexture.set(l.TEXTURE1),s.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(f),r.demTexture){var p=r.demTexture;p.update(h,{premultiply:!1}),p.bind(l.NEAREST,l.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(s,h,l.RGBA,{premultiply:!1}),r.demTexture.bind(l.NEAREST,l.CLAMP_TO_EDGE);s.activeTexture.set(l.TEXTURE0);var d=r.fbo;if(!d){var v=new t.Texture(s,{width:c,height:c,data:null},l.RGBA);v.bind(l.LINEAR,l.CLAMP_TO_EDGE),(d=r.fbo=s.createFramebuffer(c,c,!0)).colorAttachment.set(v.texture)}s.bindFramebuffer.set(d.framebuffer),s.viewport.set([0,0,c,c]),e.useProgram(\"hillshadePrepare\").draw(s,l.TRIANGLES,i,a,o,Ct.disabled,Ur(r.tileID,u),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function vn(e,r,n,i,a){var o=i.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,u=r?(s-r.timeAdded)/o:-1,c=n.getSource(),f=a.coveringZoomLevel({tileSize:c.tileSize,roundZoom:c.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-u,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var gn=new t.Color(1,0,0,1),yn=new t.Color(0,1,0,1),mn=new t.Color(0,0,1,1),xn=new t.Color(1,0,1,1),bn=new t.Color(0,1,1,1);function _n(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,mn),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,bn)}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,u=Et.disabled,c=e.colorModeForRenderPass(),f=\"$debug\";i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,u,c,Ct.disabled,Rr(o,t.Color.red),f,e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var h=r.getTileByID(n.key).latestRawTileData,p=h&&h.byteLength||0,d=Math.floor(p/1024),v=r.getTile(n).tileSize,g=512/Math.min(v,512)*(n.overscaledZ/e.transform.zoom)*.5,y=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(y+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,y+\" \"+d+\"kb\"),s.draw(i,a.TRIANGLES,l,u,Lt.alphaBlended,Ct.disabled,Rr(o,t.Color.transparent,g),f,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,u=\"map\"===a,c=\"map\"===o,f=0,h=e;f<h.length;f+=1){var p=h[f],d=i.getTile(p),v=d.getBucket(n);if(v&&v.text&&v.text.segments.get().length){var g=v.textSizeData,y=t.evaluateSizeForZoom(g,l.zoom),m=ge(d,1,r.transform.zoom),x=te(p.posMatrix,c,u,r.transform,m),b=\"none\"!==n.layout.get(\"icon-text-fit\")&&v.hasIconData();if(y){var _=Math.pow(2,l.zoom-d.tileID.overscaledZ);sn(v,u,c,s,t.symbolSize,l,x,p.posMatrix,_,y,b)}}}}(i,e,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),a),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&un(e,r,n,i,!1,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),n.layout.get(\"icon-rotation-alignment\"),n.layout.get(\"icon-pitch-alignment\"),n.layout.get(\"icon-keep-upright\"),o,s),0!==n.paint.get(\"text-opacity\").constantOr(1)&&un(e,r,n,i,!0,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(nn(e,r,n,i,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),nn(e,r,n,i,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=void 0!==n.layout.get(\"circle-sort-key\").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var u=e.context,c=u.gl,f=e.depthModeForSublayer(0,Mt.ReadOnly),h=Et.disabled,p=e.colorModeForRenderPass(),d=[],v=0;v<i.length;v++){var g=i[v],y=r.getTile(g),m=y.getBucket(n);if(m){var x=m.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:m.layoutVertexBuffer,indexBuffer:m.indexBuffer,uniformValues:Ir(e,g,y,n)};if(l)for(var _=0,w=m.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:m.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,A=d;k<A.length;k+=1){var M=A[k],S=M.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,O=S.uniformValues,I=M.segments;L.draw(u,c.TRIANGLES,f,h,p,Ct.disabled,O,n.id,C,P,I,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var a=e.context,o=a.gl,s=Et.disabled,l=new Lt([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);(function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}})(a,e,n),a.clear({color:t.Color.transparent});for(var u=0;u<i.length;u++){var c=i[u];if(!r.hasRenderableParent(c)){var f=r.getTile(c),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram(\"heatmap\",p),v=e.transform.zoom;d.draw(a,o.TRIANGLES,Mt.disabled,s,l,Ct.disabled,Br(c.posMatrix,f,v,n.paint.get(\"heatmap-intensity\")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(a){n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA)),o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,i.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Nr(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}}(e,n))},line:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==a.constantOr(1)&&0!==o.constantOr(1))for(var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),u=n.paint.get(\"line-dasharray\"),c=n.paint.get(\"line-pattern\"),f=c.constantOr(1),h=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=f?\"linePattern\":u?\"lineSDF\":h?\"lineGradient\":\"line\",v=e.context,g=v.gl,y=!0,m=0,x=i;m<x.length;m+=1){var b=x[m],_=r.getTile(b);if(!f||_.patternsLoaded()){var w=_.getBucket(n);if(w){var T=w.programConfigurations.get(n.id),k=e.context.program.get(),A=e.useProgram(d,T),M=y||A.program!==k,S=c.constantOr(null);if(S&&_.imageAtlas){var E=_.imageAtlas,L=E.patternPositions[S.to.toString()],C=E.patternPositions[S.from.toString()];L&&C&&T.setConstantPatternPositions(L,C)}var P=f?Hr(e,_,n,p):u?Gr(e,_,n,u,p):h?qr(e,_,n,w.lineClipsArray.length):Vr(e,_,n);if(f)v.activeTexture.set(g.TEXTURE0),_.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),T.updatePaintBuffers(p);else if(u&&(M||e.lineAtlas.dirty))v.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(v);else if(h){var O=w.gradients[n.id],I=O.texture;if(n.gradientVersion!==O.version){var z=256;if(n.stepInterpolant){var D=r.getSource().maxzoom,R=b.canonical.z===D?Math.ceil(1<<e.transform.maxZoom-b.canonical.z):1,F=w.maxLineLength/t.EXTENT*1024*R;z=t.clamp(t.nextPowerOfTwo(F),256,v.maxTextureSize)}O.gradient=t.renderColorRamp({expression:n.gradientExpression(),evaluationKey:\"lineProgress\",resolution:z,image:O.gradient||void 0,clips:w.lineClipsArray}),O.texture?O.texture.update(O.gradient):O.texture=new t.Texture(v,O.gradient,g.RGBA),O.version=n.gradientVersion,I=O.texture}v.activeTexture.set(g.TEXTURE0),I.bind(n.stepInterpolant?g.NEAREST:g.LINEAR,g.CLAMP_TO_EDGE)}A.draw(v,g.TRIANGLES,s,e.stencilModeForClipping(b),l,Ct.disabled,P,n.id,w.layoutVertexBuffer,w.indexBuffer,w.segments,n.paint,e.transform.zoom,T,w.layoutVertexBuffer2),y=!1}}}}},fill:function(e,r,n,i){var a=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),u=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===u){var c=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);fn(e,r,n,i,c,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var f=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,Mt.ReadOnly);fn(e,r,n,i,f,s,!0)}}},\"fill-extrusion\":function(t,e,r,n){var i=r.paint.get(\"fill-extrusion-opacity\");if(0!==i&&\"translucent\"===t.renderPass){var a=new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))hn(t,e,r,n,a,Et.disabled,Lt.disabled),hn(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();hn(t,e,r,n,a,Et.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var i=t.context,a=t.depthModeForSublayer(0,Mt.ReadOnly),o=t.colorModeForRenderPass(),s=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],l=s[0],u=0,c=s[1];u<c.length;u+=1){var f=c[u],h=e.getTile(f);h.needsHillshadePrepare&&\"offscreen\"===t.renderPass?dn(t,h,r,a,Et.disabled,o):\"translucent\"===t.renderPass&&pn(t,h,r,a,l[f.overscaledZ],o)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),u=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),c=u[0],f=u[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,v=f;d<v.length;d+=1){var g=v[d],y=t.depthModeForSublayer(g.overscaledZ-h,1===r.paint.get(\"raster-opacity\")?Mt.ReadWrite:Mt.ReadOnly,a.LESS),m=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);m.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var b=e.findLoadedParent(g,0),_=vn(m,b,e,r,t.transform),w=void 0,T=void 0,k=\"nearest\"===r.paint.get(\"raster-resampling\")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),m.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-m.tileID.overscaledZ),T=[m.tileID.canonical.x*w%1,m.tileID.canonical.y*w%1]):m.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Xr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,y,Et.disabled,l,Ct.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,y,c[g.overscaledZ],l,Ct.disabled,A,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),i=r.paint.get(\"background-opacity\");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,u=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(u)){var c=!u&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===c){var f=Et.disabled,h=t.depthModeForSublayer(0,\"opaque\"===c?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(u?\"backgroundPattern\":\"background\"),v=s.coveringTiles({tileSize:l});u&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),y=0,m=v;y<m.length;y+=1){var x=m[y],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=u?en(b,i,t,u,{tileID:x,tileSize:l},g):tn(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Ct.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)An(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if(\"offscreen\"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Et.disabled);var o=\"3d\"===i.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},Sn=function(t,e){this.context=new Pt(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Ot.maxUnderzooming+Ot.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ve,this.gpuTimers={}};Sn.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},Sn.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,Xe.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,Xe.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,O.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,Xe.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Et({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},Sn.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(e,r.TRIANGLES,Mt.disabled,this.stencilClearMode,Lt.disabled,Ct.disabled,Fr(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},Sn.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(Lt.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,Mt.disabled,new Et({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),Lt.disabled,Ct.disabled,Fr(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},Sn.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Et({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},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<a;s++)o[s+i]=new Et({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Et.disabled,e),n]},Sn.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){var r=1/8;return new Lt([e.CONSTANT_COLOR,e.ONE],new t.Color(r,r,r,0),[!0,!0,!0,!0])}return\"opaque\"===this.renderPass?Lt.unblended:Lt.alphaBlended},Sn.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return Mt.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new Mt(r||this.context.gl.LEQUAL,e,[n,n])},Sn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},Sn.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,u,c={},f={},h={};for(var p in a){var d=a[p];c[p]=d.getVisibleCoordinates(),f[p]=c[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var v=0;v<i.length;v++){var g=i[v];if(this.style._layers[g].is3D()){this.opaquePassCutoff=v;break}}this.renderPass=\"offscreen\";for(var y=0,m=i;y<m.length;y+=1){var x=m[y],b=this.style._layers[x];if(b.hasOffscreenPass()&&!b.isHidden(this.transform.zoom)){var _=f[b.source];(\"custom\"===b.type||_.length)&&this.renderLayer(this,a[b.source],b,_)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=c[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var A=this.style._layers[i[this.currentLayer]],M=a[A.source],S=(\"symbol\"===A.type?h:f)[A.source];this._renderTileClippingMasks(A,c[A.source]),this.renderLayer(this,M,A,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(u&&u.id)&&(u=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<u.getSource().maxzoom)&&(l=u))})),l&&Mn.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&_n(this),this.context.setDefault()},Sn.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||\"custom\"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),Mn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},Sn.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},Sn.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},Sn.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},Sn.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},Sn.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var u=[a?n[0]:ge(r,n[0],this.transform.zoom),a?n[1]:ge(r,n[1],this.transform.zoom),0],c=new Float32Array(16);return t.translate(c,e,u),c},Sn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},Sn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?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 Ln=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Ln.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new Ln(n,i)},Ln.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},Ln.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},Ln.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var u=Number.MAX_VALUE,c=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];u=Math.min(u,h),c=Math.max(c,h)}if(c<0||u>this.max[l]-this.min[l])return 0}return 1};var Cn=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};Cn.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},Cn.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)},Cn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},Cn.prototype.clone=function(){return new Cn(this.top,this.bottom,this.left,this.right)},Cn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var Pn=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 Cn,this._posMatrixCache={},this._alignedPosMatrixCache={}},On={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}};Pn.prototype.clone=function(){var t=new Pn(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},On.minZoom.get=function(){return this._minZoom},On.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},On.maxZoom.get=function(){return this._maxZoom},On.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},On.minPitch.get=function(){return this._minPitch},On.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},On.maxPitch.get=function(){return this._maxPitch},On.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},On.renderWorldCopies.get=function(){return this._renderWorldCopies},On.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},On.worldSize.get=function(){return this.tileSize*this.scale},On.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},On.size.get=function(){return new t.Point(this.width,this.height)},On.bearing.get=function(){return-this.angle/Math.PI*180},On.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))},On.pitch.get=function(){return this._pitch/Math.PI*180},On.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())},On.fov.get=function(){return this._fov/Math.PI*180},On.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())},On.zoom.get=function(){return this._zoom},On.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())},On.center.get=function(){return this._center},On.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},On.padding.get=function(){return this._edgeInsets.toJSON()},On.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},On.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},Pn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},Pn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},Pn.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)},Pn.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),u=s-1;u<=l+1;u++)0!==u&&r.push(new t.UnwrappedTileID(u,e));return r},Pn.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=En.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var u=function(t){return{aabb:new Ln([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},c=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)c.push(u(-d)),c.push(u(d));for(c.push(u(0));c.length>0;){var v=c.pop(),g=v.x,y=v.y,m=v.fullyVisible;if(!m){var x=v.aabb.intersects(s);if(0===x)continue;m=2===x}var b=v.aabb.distanceX(o),_=v.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-v.zoom)-2;if(v.zoom===h||w>T&&v.zoom>=l)f.push({tileID:new t.OverscaledTileID(v.zoom===h?p:v.zoom,v.wrap,v.zoom,g,y),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-y])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(y<<1)+(k>>1);c.push({aabb:v.aabb.quadrant(k),zoom:v.zoom+1,x:A,y:M,wrap:v.wrap,fullyVisible:m})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},Pn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},On.unmodified.get=function(){return this._unmodified},Pn.prototype.zoomScale=function(t){return Math.pow(2,t)},Pn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},Pn.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)},Pn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},On.point.get=function(){return this.project(this.center)},Pn.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())},Pn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},Pn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},Pn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},Pn.prototype.coordinateLocation=function(t){return t.toLngLat()},Pn.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,u=n[1]/a,c=r[2]/i,f=n[2]/a,h=c===f?0:(0-c)/(f-c);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,u,h)/this.worldSize)},Pn.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])},Pn.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)))},Pn.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},Pn.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])},Pn.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]},Pn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},Pn.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,u=this.size,c=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<u.y?u.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<u.x?u.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=c,void(this._constraining=!1);if(this.latRange){var v=p.y,g=u.y/2;v-g<a&&(i=a+g),v+g>o&&(i=o-g)}if(this.lngRange){var y=p.x,m=u.x/2;y-m<s&&(n=s+m),y+m>l&&(n=l-m)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=c,this._constraining=!1}},Pn.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,u=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),c=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,c,u),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),v=Math.sin(this.angle),g=s-Math.round(s)+d*h+v*p,y=l-Math.round(l)+d*p+v*h,m=new Float64Array(f);if(t.translate(m,m,[g>.5?g-1:g,y>.5?y-1:y,0]),this.alignedProjMatrix=m,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},Pn.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},Pn.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},Pn.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var u=l[s];n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(Pn.prototype,On);var In=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};In.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},In.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},In.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),u=this._map.getPitch(),c=\"\";if(c+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||u)&&(c+=\"/\"+Math.round(10*l)/10),u&&(c+=\"/\"+Math.round(u)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split(\"&\").map((function(t){var e=t.split(\"=\")[0];return e===f?(h=!0,e+\"=\"+c):t})).filter((function(t){return t}));return h||p.push(f+\"=\"+c),\"#\"+p.join(\"&\")}return\"#\"+c},In.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace(\"#\",\"\");return this._hashName?(n.split(\"&\").map((function(t){return t.split(\"=\")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||\"\").split(\"/\")):n.split(\"/\")},In.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},In.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 zn={linearity:.3,easing:t.bezier(0,0,.3,1)},Dn=t.extend({deceleration:2500,maxSpeed:1400},zn),Rn=t.extend({deceleration:20,maxSpeed:1400},zn),Fn=t.extend({deceleration:1e3,maxSpeed:360},zn),Bn=t.extend({deceleration:1e3,maxSpeed:90},zn),Nn=function(t){this._map=t,this.clear()};function jn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Un(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}Nn.prototype.clear=function(){this._inertiaBuffer=[]},Nn.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},Nn.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&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<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=Un(r.pan.mag(),o,t.extend({},Dn,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,jn(s,l)}if(r.zoom){var u=Un(r.zoom,o,Rn);s.zoom=this._map.transform.zoom+u.amount,jn(s,u)}if(r.bearing){var c=Un(r.bearing,o,Fn);s.bearing=this._map.transform.bearing+t.clamp(c.amount,-179,179),jn(s,c)}if(r.pitch){var f=Un(r.pitch,o,Bn);s.pitch=this._map.transform.pitch+f.amount,jn(s,f)}if(s.zoom||s.bearing){var h=void 0===r.pinchAround?r.around:r.pinchAround;s.around=h?this._map.unproject(h):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Vn=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),qn=function(e){function n(n,i,a){var o=\"touchend\"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),u=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),c=i.unproject(u);e.call(this,n,{points:s,point:u,lngLats:l,lngLat:c,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Hn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Gn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Gn.prototype.reset=function(){delete this._mousedownPos},Gn.prototype.wheel=function(t){return this._firePreventable(new Hn(t.type,this._map,t))},Gn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseup=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=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 Wn=function(t){this._map=t};Wn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Wn.prototype.mousemove=function(t){this._map.fire(new Vn(t.type,this._map,t))},Wn.prototype.mousedown=function(){this._delayContextMenu=!0},Wn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Vn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Wn.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()},Wn.prototype.isEnabled=function(){return!0},Wn.prototype.isActive=function(){return!1},Wn.prototype.enable=function(){},Wn.prototype.disable=function(){};var Yn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Xn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Yn.prototype.isEnabled=function(){return!!this._enabled},Yn.prototype.isActive=function(){return!!this._active},Yn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Yn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Yn.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Yn.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,\"translate(\"+a+\"px,\"+s+\"px)\"),this._box.style.width=o-a+\"px\",this._box.style.height=l-s+\"px\"}}},Yn.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event(\"boxzoomend\",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent(\"boxzoomcancel\",e)}},Yn.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Yn.prototype.reset=function(){this._active=!1,this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Yn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Zn=function(t){this.reset(),this.numTouches=t.numTouches};Zn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Zn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=Xn(n,r)))},Zn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Xn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Zn.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 Kn=function(t){this.singleTap=new Zn(t),this.numTaps=t.numTaps,this.reset()};Kn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Kn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Kn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Kn.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 Kn({numTouches:1,numTaps:2}),this._zoomOut=new Kn({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 $n={};$n[0]=1,$n[2]=2;var Qn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Qn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Qn.prototype._correctButton=function(t,e){return!1},Qn.prototype._move=function(t,e){return{}},Qn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Qn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r)if(t.preventDefault(),function(t,e){var r=$n[e];return void 0===t.buttons||(t.buttons&r)!==r}(t,this._eventButton))this.reset();else if(this._moved||!(e.dist(r)<this._clickTolerance))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Qn.prototype.mouseupWindow=function(t){this._lastPoint&&r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Qn.prototype.enable=function(){this._enabled=!0},Qn.prototype.disable=function(){this._enabled=!1,this.reset()},Qn.prototype.isEnabled=function(){return this._enabled},Qn.prototype.isActive=function(){return this._active};var ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Qn),ei=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Qn),ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Qn),ni=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};ni.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},ni.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},ni.prototype.touchmove=function(t,e,r){if(this._active&&!(r.length<this._minTouches))return t.preventDefault(),this._calculateTransform(t,e,r)},ni.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},ni.prototype.touchcancel=function(){this.reset()},ni.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Xn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var u=i[l],c=this._touches[l];c&&(a._add(u),o._add(u.sub(c)),s++,i[l]=u)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},ni.prototype.enable=function(){this._enabled=!0},ni.prototype.disable=function(){this._enabled=!1,this.reset()},ni.prototype.isEnabled=function(){return this._enabled},ni.prototype.isActive=function(){return this._active};var ii=function(){this.reset()};function ai(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}ii.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},ii.prototype._start=function(t){},ii.prototype._move=function(t,e,r){return{}},ii.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},ii.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=ai(r,e,i),s=ai(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},ii.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=ai(n,e,a),l=ai(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},ii.prototype.touchcancel=function(){this.reset()},ii.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},ii.prototype.disable=function(){this._enabled=!1,this.reset()},ii.prototype.isEnabled=function(){return this._enabled},ii.prototype.isActive=function(){return this._active};function oi(t,e){return Math.log(t/e)/Math.LN2}var si=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs(oi(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:oi(this._distance,r),pinchAround:e}},e}(ii);function li(t,e){return 180*t.angleWith(e)/Math.PI}var ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:li(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=li(t,this._startVector);return Math.abs(r)<e},e}(ii);function ci(t){return Math.abs(t.y)>Math.abs(t.x)}var fi=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,ci(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 ci(t)&&ci(e)&&a}},e}(ii),hi={panStep:100,bearingStep:15,pitchStep:10},pi=function(){var t=hi;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 vi=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%vi==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)>vi?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,u=this._easing,c=!1;if(\"wheel\"===this._type&&l&&u){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=u(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):c=!0}else o=s,c=!0;return this._active=!0,c&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!c,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},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 mi=function(){this.reset()};mi.prototype.reset=function(){this._active=!1},mi.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})}}},mi.prototype.enable=function(){this._enabled=!0},mi.prototype.disable=function(){this._enabled=!1,this.reset()},mi.prototype.isEnabled=function(){return this._enabled},mi.prototype.isActive=function(){return this._active};var xi=function(){this._tap=new Kn({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 bi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};bi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},bi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},bi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},bi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var _i=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};_i.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},_i.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},_i.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},_i.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;a<o.length;a+=1){var s=o[a],l=s[0],u=s[1],c=s[2];r.addEventListener(l,u,l===t.window.document?this.handleWindowEvent:this.handleEvent,c)}};Mi.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},Mi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Gn(e,t));var n=e.boxZoom=new Yn(e,t);this._add(\"boxZoom\",n);var i=new Jn,a=new mi;e.doubleClickZoom=new yi(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new xi;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new fi;this._add(\"touchPitch\",s);var l=new ei(t),u=new ri(t);e.dragRotate=new _i(t,l,u),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",u,[\"mouseRotate\"]);var c=new ti(t),f=new ni(t);e.dragPan=new bi(r,c,f),this._add(\"mousePan\",c),this._add(\"touchPan\",f,[\"touchZoom\",\"touchRotate\"]);var h=new ui,p=new si;e.touchZoomRotate=new wi(r,p,h,o),this._add(\"touchRotate\",h,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new gi(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var v=e.keyboard=new pi;this._add(\"keyboard\",v),this._add(\"blockableMapEvent\",new Wn(e));for(var g=0,y=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];g<y.length;g+=1){var m=y[g];t.interactive&&t[m]&&e[m].enable(t[m])}},Mi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},Mi.prototype.stop=function(t){if(!this._updatingCamera){for(var e=0,r=this._handlers;e<r.length;e+=1)r[e].handler.reset();this._inertia.clear(),this._fireEvents({},{},t),this._changes=[]}},Mi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1)if(e[t].handler.isActive())return!0;return!1},Mi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},Mi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},Mi.prototype.isMoving=function(){return Boolean(Ti(this._eventsInProgress))||this.isZooming()},Mi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},Mi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},Mi.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},Mi.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),u=0,c=this._handlers;u<c.length;u+=1){var f=c[u],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var v=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(v=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,v,h,n),v&&v.needsRenderFrame&&this._triggerRenderFrame()),(v||p.isActive())&&(o[h]=p)}}var g={};for(var y in this._previousActiveHandlers)o[y]||(g[y]=n);this._previousActiveHandlers=o,(Object.keys(g).length||Ai(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||Ai(i))&&this._map._stop(!0),this._updatingCamera=!1;var m=i.cameraAnimation;m&&(this._inertia.clear(),this._fireEvents({},{},!0),this._changes=[],m(this._map))}else this.stop(!0)},Mi.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},Mi.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],u=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,u)}this._updateMapTransform(e,r,n),this._changes=[]},Mi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!Ai(t))return this._fireEvents(e,r,!0);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,u=t.around,c=t.pinchAround;void 0!==c&&(u=c),n._stop(!0),u=u||n.transform.centerPoint;var f=i.pointLocation(a?u.sub(a):u);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,u),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r,!0)},Mi.prototype._fireEvents=function(e,r,n){var i=this,a=Ti(this._eventsInProgress),o=Ti(e),s={};for(var l in e){var u=e[l].originalEvent;this._eventsInProgress[l]||(s[l+\"start\"]=u),this._eventsInProgress[l]=e[l]}for(var c in!a&&o&&this._fireEvent(\"movestart\",o.originalEvent),s)this._fireEvent(c,s[c]);for(var f in o&&this._fireEvent(\"move\",o.originalEvent),e){var h=e[f].originalEvent;this._fireEvent(f,h)}var p,d={};for(var v in this._eventsInProgress){var g=this._eventsInProgress[v],y=g.handlerName,m=g.originalEvent;this._handlersById[y].isActive()||(delete this._eventsInProgress[v],p=r[y]||m,d[v+\"end\"]=p)}for(var x in d)this._fireEvent(x,d[x]);var b=Ti(this._eventsInProgress);if(n&&(a||o)&&!b){this._updatingCamera=!0;var _=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),w=function(t){return 0!==t&&-i._bearingSnap<t&&t<i._bearingSnap};_?(w(_.bearing||this._map.getBearing())&&(_.bearing=0),this._map.easeTo(_,{originalEvent:p})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:p})),w(this._map.getBearing())&&this._map.resetNorth()),this._updatingCamera=!1}},Mi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},Mi.prototype._requestFrame=function(){var t=this;return this._map.triggerRepaint(),this._map._renderTaskQueue.add((function(e){delete t._frameId,t.handleEvent(new ki(\"renderFrame\",{timeStamp:e})),t._applyChanges()}))},Mi.prototype._triggerRenderFrame=function(){void 0===this._frameId&&(this._frameId=this._requestFrame())};var Si=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){e=t.LngLatBounds.convert(e);var n=r&&r.bearing||0;return this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),n,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,u=s.project(t.LngLat.convert(e)),c=s.project(t.LngLat.convert(r)),f=u.rotate(-n*Math.PI/180),h=c.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),v=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/v.x,y=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/v.y;if(!(y<0||g<0)){var m=Math.min(s.scaleZoom(s.scale*Math.min(g,y)),i.maxZoom),x=\"number\"==typeof i.offset.x?new t.Point(i.offset.x,i.offset.y):t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(b,_).rotate(n*Math.PI/180),T=x.add(w).mult(s.scale/s.zoomScale(m));return{center:s.unproject(u.add(c).div(2).sub(T)),zoom:m,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),i&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),a&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),u=\"zoom\"in e?+e.zoom:a,c=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,f=\"pitch\"in e?+e.pitch:s,h=\"padding\"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),v=i.pointLocation(d),g=t.LngLat.convert(e.center||v);this._normalizeCenter(g);var y,m,x=i.project(v),b=i.project(g).sub(x),_=i.zoomScale(u-a);e.around&&(y=t.LngLat.convert(e.around),m=i.locationPoint(y));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||u!==a,this._rotating=this._rotating||o!==c,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,u,e)),n._rotating&&(i.bearing=t.number(o,c,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),y)i.setLocationAtPoint(y,m);else{var v=i.zoomScale(i.zoom-a),g=u>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(v));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),u=this.getPadding(),c=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(c-o),v=t.Point.convert(e.offset),g=a.centerPoint.add(v),y=a.pointLocation(g),m=t.LngLat.convert(e.center||y);this._normalizeCenter(m);var x=a.project(y),b=a.project(m).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,c),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),O=function(t){return C(P)/C(P+_*t)},I=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},z=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(z)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=T<w?-1:1;z=Math.abs(Math.log(T/w))/_,I=function(){return 0},O=function(t){return Math.exp(D*_*t)}}if(\"duration\"in e)e.duration=+e.duration;else{var R=\"screenSpeed\"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*z/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*z,d=1/O(i);a.zoom=1===e?c:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(u,p,e),g=a.centerPoint.add(v));var y=1===e?m:a.unproject(x.add(b.mult(I(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?y.wrap():y,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop(!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)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),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<r.length-1?\"&\":\"\")),t}),\"?\");e.href=t.config.FEEDBACK_URL+\"/\"+n+(this._map._hash?this._map._hash.getHashString(!0):\"\"),e.rel=\"noopener nofollow\",this._setElementTitle(e,\"MapFeedback\")}},Ei.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"visibility\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},Ei.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return\"string\"!=typeof t?\"\":t}))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},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 Li=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};Li.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},Li.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},Li.prototype.getDefaultPosition=function(){return\"bottom-left\"},Li.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},Li.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}},Li.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 Ci=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Ci.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Ci.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},Ci.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},Ci.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Pi={\"AttributionControl.ToggleAttribution\":\"Toggle attribution\",\"AttributionControl.MapFeedback\":\"Map feedback\",\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"Mapbox logo\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\"},Oi=t.window.HTMLImageElement,Ii=t.window.HTMLElement,zi=t.window.ImageBitmap,Di=60,Ri={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:Di,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Fi=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Ri,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>Di)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new Pn(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 Ci,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Pi,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 Ii))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 In(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 Li,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()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?Di:t)>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;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new Ye(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new Ye(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else\"object\"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce(\"Unable to perform style diff: \"+(n.message||n.error||n)+\".  Rebuilding the style from scratch.\"),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error(\"There is no source with ID '\"+e+\"'\")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if(\"loaded\"!==i.state&&\"errored\"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof Oi||zi&&r instanceof zi){var u=t.browser.getImageData(r),c=u.width,f=u.height,h=u.data;this.style.addImage(e,{data:new t.RGBAImage({width:c,height:f},h),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var p=r.width,d=r.height,v=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(v)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:g}),g.onAdd&&g.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var i=r instanceof Oi||zi&&r instanceof zi?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));var l=!(r instanceof Oi||zi&&r instanceof zi);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\"),this._canvas.setAttribute(\"role\",\"region\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),a=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((function(t){a[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,i)})),this._container.addEventListener(\"scroll\",this._onMapScroll,!1)},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?(this.painter=new Sn(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},i.prototype._onMapScroll=function(t){if(t.target===this._container)return this._container.scrollTop=0,this._container.scrollLeft=0,!1},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var u=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),c=u.crossFadingFactor();1===c&&c===this._crossFadingFactor||(o=!0,this._crossFadingFactor=c),this.style.update(u)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event(\"gpu-timing-frame\",{cpuTime:f,gpuTime:e}))}),50)}if(this.listens(\"gpu-timing-layer\")){var h=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event(\"gpu-timing-layer\",{layerTimes:e}))}),50)}var p=this._sourcesDirty||this._styleDirty||this._placementDirty;return p||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new t.Event(\"idle\")),!this._loaded||this._fullyLoaded||p||(this._fullyLoaded=!0),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1)r[e].onRemove(this);this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"orientationchange\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext&&n.loseContext(),Bi(this._canvasContainer),Bi(this._controlContainer),Bi(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new t.Event(\"remove\"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(Si);function Bi(t){t.parentNode&&t.parentNode.removeChild(t)}var Ni={showCompass:!0,showZoom:!0,visualizePitch:!1},ji=function(e){var n=this;this.options=t.extend({},Ni,e),this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};ji.prototype._updateZoomButtons=function(){var 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())},ji.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassIcon.style.transform=t},ji.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ui(this._map,this._compass,this.options.visualizePitch)),this._container},ji.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},ji.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},ji.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ui=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new ei({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new ri({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),r.addEventListener(n,\"mousedown\",this.mousedown),r.addEventListener(n,\"touchstart\",this.touchstart,{passive:!1}),r.addEventListener(n,\"touchmove\",this.touchmove),r.addEventListener(n,\"touchend\",this.touchend),r.addEventListener(n,\"touchcancel\",this.reset)};function Vi(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}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)<this._clickTolerance&&this.element.click(),this.reset()},Ui.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var qi={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 Hi(t,e,r){var n=t.classList;for(var i in qi)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var Gi,Wi=function(e){function n(n,i){if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._scale=n&&n.scale||1,this._draggable=n&&n.draggable||!1,this._clickTolerance=n&&n.clickTolerance||0,this._isDragging=!1,this._state=\"inactive\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\"auto\",this._pitchAlignment=n&&n.pitchAlignment&&\"auto\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var a=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");a.setAttributeNS(null,\"display\",\"block\"),a.setAttributeNS(null,\"height\",\"41px\"),a.setAttributeNS(null,\"width\",\"27px\"),a.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");o.setAttributeNS(null,\"stroke\",\"none\"),o.setAttributeNS(null,\"stroke-width\",\"1\"),o.setAttributeNS(null,\"fill\",\"none\"),o.setAttributeNS(null,\"fill-rule\",\"evenodd\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"fill-rule\",\"nonzero\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),l.setAttributeNS(null,\"fill\",\"#000000\");for(var u=0,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\"}];u<c.length;u+=1){var f=c[u],h=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");h.setAttributeNS(null,\"opacity\",\"0.04\"),h.setAttributeNS(null,\"cx\",\"10.5\"),h.setAttributeNS(null,\"cy\",\"5.80029008\"),h.setAttributeNS(null,\"rx\",f.rx),h.setAttributeNS(null,\"ry\",f.ry),l.appendChild(h)}var p=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");p.setAttributeNS(null,\"fill\",this._color);var d=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");d.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),p.appendChild(d);var v=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");v.setAttributeNS(null,\"opacity\",\"0.25\"),v.setAttributeNS(null,\"fill\",\"#000000\");var g=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");g.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\"),v.appendChild(g);var y=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");y.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),y.setAttributeNS(null,\"fill\",\"#FFFFFF\");var m=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");x.setAttributeNS(null,\"fill\",\"#000000\"),x.setAttributeNS(null,\"opacity\",\"0.25\"),x.setAttributeNS(null,\"cx\",\"5.5\"),x.setAttributeNS(null,\"cy\",\"5.5\"),x.setAttributeNS(null,\"r\",\"5.4999962\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#FFFFFF\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\"),m.appendChild(x),m.appendChild(b),s.appendChild(l),s.appendChild(p),s.appendChild(v),s.appendChild(y),s.appendChild(m),a.appendChild(s),a.setAttributeNS(null,\"height\",41*this._scale+\"px\"),a.setAttributeNS(null,\"width\",27*this._scale+\"px\"),this._element.appendChild(a),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",(function(t){t.preventDefault()})),this._element.addEventListener(\"mousedown\",(function(t){t.preventDefault()})),Hi(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=13.5,r=Math.sqrt(Math.pow(e,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[r,-1*(24.6+r)],\"bottom-right\":[-r,-1*(24.6+r)],left:[e,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Vi(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?e=\"rotateZ(\"+this._rotation+\"deg)\":\"map\"===this._rotationAlignment&&(e=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var n=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?n=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(n=\"rotateX(\"+this._map.getPitch()+\"deg)\"),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,qi[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+n+\" \"+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){if(!this._isDragging){var r=this._clickTolerance||this._map._clickTolerance;this._isDragging=e.point.dist(this._pointerdownPos)>=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),Yi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Xi=0,Zi=!1,Ki=function(e){function n(r){e.call(this),this.options=t.extend({},Yi,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,Xi=0,Zi=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&Zi)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 Wi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Wi({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\":Xi--,Zi=!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\"),++Xi>1?(e={maximumAge:6e5,timeout:0},Zi=!0):(e=this.options.positionOptions,Zi=!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\"},$i=function(e){this.options=t.extend({},Ji,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;l>5280?ta(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\")):ta(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else r&&\"nautical\"===r.unit?ta(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?ta(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):ta(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function ta(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(\"\"+Math.floor(i)).length-1))*((o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\"&nbsp;\"+n}$i.prototype.getDefaultPosition=function(){return\"bottom-left\"},$i.prototype._onMove=function(){Qi(this._map,this._container,this.options)},$i.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},$i.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},$i.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=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(t){var e=this,n=this._lngLat||this._trackPointer;if(this._map&&n&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return e._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=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,u=this._container.offsetHeight;s=i.y+o.bottom.y<u?[\"top\"]:i.y>this._map.transform.height-u?[\"bottom\"]:[],i.x<l/2?s.push(\"left\"):i.x>this._map.transform.width-l/2&&s.push(\"right\"),a=0===s.length?\"bottom\":s.join(\"-\")}var c=i.add(o[a]).round();r.setTransform(this._container,qi[a]+\" translate(\"+c.x+\"px,\"+c.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:Ki,AttributionControl:Ei,ScaleControl:$i,FullscreenControl:ea,Popup:ia,Marker:Wi,Style:Ye,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){jt().acquire(Rt)},clearPrewarmedResources:function(){var t=Bt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(Rt),Bt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Ft.workerCount},set workerCount(t){Ft.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\"\"};return oa})),r}()},3108:function(t,e,r){\"use strict\";t.exports=r(26099)},26099:function(t,e,r){\"use strict\";var n=r(64928),i=r(32420),a=r(51160),o=r(76752),s=r(55616),l=r(31264),u=r(47520),c=r(18400),f=r(72512),h=r(76244);function p(t,e){for(var r=e[0],n=e[1],a=1/(e[2]-r),o=1/(e[3]-n),s=new Array(t.length),l=0,u=t.length/2;l<u;l++)s[2*l]=i((t[2*l]-r)*a,0,1),s[2*l+1]=i((t[2*l+1]-n)*o,0,1);return 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t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||a({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(h(t)?t:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst 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float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ vec2(positionOffset.x, -positionOffset.y)))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 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return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign 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t.offset&&(t.offset=[t.offset,0]),this.positionOffset=m(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\"px sans-serif\");var r,a=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+\"px \"+t)}else{var i=t.style,s=t.weight,l=t.stretch,u=t.variant;t=n.parse(n.stringify(t)),i&&(t.style=i),s&&(t.weight=s),l&&(t.stretch=l),u&&(t.variant=u)}var c=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),f=p(t.size),h=Math.round(f[0]*d(f[1]));if(h!==e.fontSize[r]&&(o=!0,e.fontSize[r]=h),!(e.font[r]&&c==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[c],e.font[r]))){var v=t.family.join(\", \"),g=[t.style];t.style!=t.variant&&g.push(t.variant),t.variant!=t.weight&&g.push(t.weight),_&&t.weight!=t.stretch&&g.push(t.stretch),e.font[r]={baseString:c,family:v,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:y(v,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:g.join(\" \")})},T.fonts[c]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),h=0;h<s.length;h++)s[h]=t.text;t.text=s}if(null!=t.text||a){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var i=e.fontAtlas[n],a=0;a<e.text.length;a++){var o=e.text.charAt(a);if(null==i.ids[o]&&(i.ids[o]=i.chars.length,i.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);g(t.kerning,v(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=c.mallocFloat(2*this.count),A=0,M=0;A<this.counts.length;A++){var S=this.counts[A];if(w)for(var E=0;E<S;E++)k[M++]=t.position[2*A],k[M++]=t.position[2*A+1];else for(var L=0;L<S;L++)k[M++]=t.position[A][0],k[M++]=t.position[A][1]}this.position.call?this.position({type:\"float\",data:k}):this.position=this.regl.buffer({type:\"float\",data:k}),c.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var C=c.mallocUint8(this.count),P=c.mallocFloat(2*this.count);this.textWidth=[];for(var O=0,I=0;O<this.counts.length;O++){for(var z=this.counts[O],D=this.font[O]||this.font[0],R=this.fontAtlas[O]||this.fontAtlas[0],F=0;F<z;F++){var B=this.text.charAt(I),N=this.text.charAt(I-1);if(C[I]=R.ids[B],P[2*I]=D.width[B],F){var j=P[2*I-2],U=P[2*I],V=P[2*I-1]+.5*j+.5*U;if(this.kerning){var q=D.kerning[N+B];q&&(V+=.001*q)}P[2*I+1]=V}else P[2*I+1]=.5*P[2*I];I++}this.textWidth.push(P.length?.5*P[2*I-2]+P[2*I-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:C,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:P,type:\"float\",usage:\"stream\"}),c.freeUint8(C),c.freeFloat(P),r.length&&this.font.forEach((function(t,r){var n=e.fontAtlas[r],i=n.step,a=Math.floor(T.maxAtlasSize/i),o=Math.min(a,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*i),c=x(s*i);n.width=l,n.height=c,n.rows=s,n.cols=o,n.em&&n.texture({data:u({canvas:T.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,c],step:[i,i]})})}))}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map((function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if(\"number\"==typeof n)return n;switch(n){case\"right\":case\"end\":return-t;case\"center\":case\"centre\":case\"middle\":return.5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,i=0;return i+=.5*n.bottom,-1*(i+=\"number\"==typeof t?t-n.baseline:-n[t])}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var H;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;H=c.mallocUint8(G);for(var W=(t.color.subarray||t.color.slice).bind(t.color),Y=0;Y<G;Y+=4)H.set(l(W(Y,Y+4),\"uint8\"),Y)}else{var X=t.color.length;H=c.mallocUint8(4*X);for(var Z=0;Z<X;Z++)H.set(l(t.color[Z]||0,\"uint8\"),4*Z)}this.color=H}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var K=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(K);for(var J=0;J<this.batch.length;J++)this.batch[J]={count:this.counts.length>1?this.counts[J]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[J]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*J,4*J+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[J]:this.opacity,baseline:null!=this.baselineOffset[J]?this.baselineOffset[J]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[J]?this.alignOffset[J]:this.alignOffset[0]:0,atlas:this.fontAtlas[J]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*J,2*J+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text=\"\",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new Uint8Array([0,0,0,255]),T.prototype.alignOffset=[0,0],T.maxAtlasSize=1024,T.atlasCanvas=document.createElement(\"canvas\"),T.atlasContext=T.atlasCanvas.getContext(\"2d\",{alpha:!1}),T.baseFontSize=64,T.fonts={},t.exports=T},55212:function(t,e,r){\"use strict\";var n=r(55616);function 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n=t.segments({inverted:!1,regions:[]}),i=0;i<e.coordinates.length;i++)n=t.selectUnion(t.combine(n,r(e.coordinates[i])));return t.polygon(n)}throw new Error(\"PolyBool: Cannot convert GeoJSON object to PolyBool polygon\")},fromPolygon:function(t,e,r){function n(t,r){return e.pointInsideRegion([.5*(t[0][0]+t[1][0]),.5*(t[0][1]+t[1][1])],r)}function i(t){return{region:t,children:[]}}r=t.polygon(t.segments(r));var a=i(null);function o(t,e){for(var r=0;r<t.children.length;r++)if(n(e,(s=t.children[r]).region))return void o(s,e);var a=i(e);for(r=0;r<t.children.length;r++){var s;n((s=t.children[r]).region,e)&&(a.children.push(s),t.children.splice(r,1),r--)}t.children.push(a)}for(var s=0;s<r.regions.length;s++){var l=r.regions[s];l.length<3||o(a,l)}function u(t,e){for(var r=0,n=t[t.length-1][0],i=t[t.length-1][1],a=[],o=0;o<t.length;o++){var s=t[o][0],l=t[o][1];a.push([s,l]),r+=l*n-s*i,n=s,i=l}return r<0!==e&&a.reverse(),a.push([a[0][0],a[0][1]]),a}var c=[];function f(t){var e=[u(t.region,!1)];c.push(e);for(var r=0;r<t.children.length;r++)e.push(h(t.children[r]))}function h(t){for(var e=0;e<t.children.length;e++)f(t.children[e]);return u(t.region,!0)}for(s=0;s<a.children.length;s++)f(a.children[s]);return c.length<=0?{type:\"Polygon\",coordinates:[]}:1==c.length?{type:\"Polygon\",coordinates:c[0]}:{type:\"MultiPolygon\",coordinates:c}}};t.exports=e},72200:function(t,e,r){var n=r(48088);t.exports=function(t,e,r){function i(t,e,n){return{id:r?r.segmentId():-1,start:t,end:e,myFill:{above:n.myFill.above,below:n.myFill.below},otherFill:null}}var a=n.create();function o(t,r){a.insertBefore(t,(function(n){return i=t.isStart,a=t.pt,o=r,s=n.isStart,l=n.pt,u=n.other.pt,(0!==(c=e.pointsCompare(a,l))?c:e.pointsSame(o,u)?0:i!==s?i?1:-1:e.pointAboveOrOnLine(o,s?l:u,s?u:l)?1:-1)<0;var i,a,o,s,l,u,c}))}function s(t,e){var r=function(t,e){var r=n.node({isStart:!0,pt:t.start,seg:t,primary:e,other:null,status:null});return o(r,t.end),r}(t,e);return function(t,e,r){var 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y,m,x=g();if(x)t?(m=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below)&&(x.seg.myFill.above=!x.seg.myFill.above):x.seg.otherFill=h.seg.myFill,r&&r.segmentUpdate(x.seg),h.other.remove(),h.remove();if(a.getHead()!==h){r&&r.rewind(h.seg);continue}t?(m=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below,h.seg.myFill.below=v?v.seg.myFill.above:i,h.seg.myFill.above=m?!h.seg.myFill.below:h.seg.myFill.below):null===h.seg.otherFill&&(y=v?h.primary===v.primary?v.seg.otherFill.above:v.seg.myFill.above:h.primary?o:i,h.seg.otherFill={above:y,below:y}),r&&r.status(h.seg,!!d&&d.seg,!!v&&v.seg),h.other.status=p.insert(n.node({ev:h}))}else{var b=h.status;if(null===b)throw new Error(\"PolyBool: Zero-length segment detected; your epsilon is probably too small or too large\");if(s.exists(b.prev)&&s.exists(b.next)&&c(b.prev.ev,b.next.ev),r&&r.statusRemove(b.ev.seg),b.remove(),!h.primary){var 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r=t.root,n=t.root.next;null!==n&&!e(n);)r=n,n=n.next;return{before:r===t.root?null:r,after:n,insert:function(t){return t.prev=r,t.next=n,r.next=t,null!==n&&(n.prev=t),t}}}};return t},node:function(t){return t.prev=null,t.next=null,t.remove=function(){t.prev.next=t.next,t.next&&(t.next.prev=t.prev),t.prev=null,t.next=null},t}}},11403:function(t){t.exports=function(t,e,r){var n=[],i=[];return t.forEach((function(t){var a=t.start,o=t.end;if(e.pointsSame(a,o))console.warn(\"PolyBool: Warning: Zero-length segment detected; your epsilon is probably too small or too large\");else{r&&r.chainStart(t);for(var s={index:0,matches_head:!1,matches_pt1:!1},l={index:0,matches_head:!1,matches_pt1:!1},u=s,c=0;c<n.length;c++){var f=(g=n[c])[0],h=(g[1],g[g.length-1]);if(g[g.length-2],e.pointsSame(f,a)){if(k(c,!0,!0))break}else if(e.pointsSame(f,o)){if(k(c,!0,!1))break}else if(e.pointsSame(h,a)){if(k(c,!1,!0))break}else if(e.pointsSame(h,o)&&k(c,!1,!1))break}if(u===s)return 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a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],u=o[0],c=o[1];e.pointsCollinear(l,s,u)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,u,c)&&(r&&r.chainRemoveHead(i,u),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},82368:function(t){function e(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var r={union:function(t,r){return e(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],r)},intersect:function(t,r){return e(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],r)},difference:function(t,r){return e(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],r)},differenceRev:function(t,r){return e(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],r)},xor:function(t,r){return e(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],r)}};t.exports=r},9696:function(t,e,r){\"use 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this.big_endian?16777216*r[t]+65536*r[t+1]+256*r[t+2]+r[t+3]:r[t]+256*r[t+1]+65536*r[t+2]+16777216*r[t+3]},n.prototype.is_subifd_link=function(t,e){return 0===t&&34665===e||0===t&&34853===e||34665===t&&40965===e},n.prototype.exif_format_length=function(t){switch(t){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}},n.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return this.input[e];case 6:return(r=this.input[e])|33554430*(128&r);case 3:return this.read_uint16(e);case 8:return(r=this.read_uint16(e))|131070*(32768&r);case 4:return this.read_uint32(e);case 9:return 0|this.read_uint32(e);default:return null}},n.prototype.scan_ifd=function(t,n,i){var a=this.read_uint16(n);n+=2;for(var o=0;o<a;o++){var s=this.read_uint16(n),l=this.read_uint16(n+2),u=this.read_uint32(n+4),c=this.exif_format_length(l),f=u*c,h=f<=4?n+8:this.read_uint32(n+8),p=!1;if(h+f>this.input.length)throw e(\"unexpected EOF\",\"EBADDATA\");for(var d=[],v=h,g=0;g<u;g++,v+=c){var y=this.exif_format_read(l,v);if(null===y){d=null;break}d.push(y)}if(Array.isArray(d)&&2===l&&(d=r(String.fromCharCode.apply(null,d)))&&\"\\0\"===d[d.length-1]&&(d=d.slice(0,-1)),this.is_subifd_link(t,s)&&Array.isArray(d)&&Number.isInteger(d[0])&&d[0]>0&&(this.ifds_to_read.push({id:s,offset:d[0]}),p=!0),!1===i({is_big_endian:this.big_endian,ifd:t,tag:s,format:l,count:u,entry_offset:n+this.start,data_length:f,data_offset:h+this.start,value:d,is_subifd_link:p}))return void(this.aborted=!0);n+=12}0===t&&this.ifds_to_read.push({id:1,offset:this.read_uint32(n)})},t.exports.ExifParser=n,t.exports.get_orientation=function(t){var e=0;try{return new n(t,0,t.length).each((function(t){if(0===t.ifd&&274===t.tag&&Array.isArray(t.value))return e=t.value[0],!1})),e}catch(t){return-1}}},44600:function(t,e,r){\"use strict\";var n=r(9696).eW,i=r(9696).eI;function a(t,e){if(t.length<4+e)return null;var r=i(t,e);return 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t=l(t,\"float64\"),r.count=Math.floor(t.length/2),r.bounds=n(t,2),r.offset=e,e+=r.count,t}},{color:function(t,e){var r=e.count;if(t||(t=\"transparent\"),!Array.isArray(t)||\"number\"==typeof t[0]){var n=t;t=Array(r);for(var a=0;a<r;a++)t[a]=n}if(t.length<r)throw Error(\"Not enough colors\");for(var o=new Uint8Array(4*r),s=0;s<r;s++){var l=i(t[s],\"uint8\");o.set(l,4*s)}return o},range:function(t,e,r){var n=e.bounds;return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=f(e.scale),e.translateFract=f(e.translate),t},viewport:function(t){var e;return Array.isArray(t)?e={x:t[0],y:t[1],width:t[2]-t[0],height:t[3]-t[1]}:t?(e={x:t.x||t.left||0,y:t.y||t.top||0},t.right?e.width=t.right-e.x:e.width=t.w||t.width||0,t.bottom?e.height=t.bottom-e.y:e.height=t.h||t.height||0):e={x:0,y:0,width:y.drawingBufferWidth,height:y.drawingBufferHeight},e}}]),c):c})),e||r){var h=x.reduce((function(t,e,r){return t+(e?e.count:0)}),0),g=new Float64Array(2*h),_=new Uint8Array(4*h),w=new Float32Array(4*h);x.forEach((function(t,e){if(t){var r=t.positions,n=t.count,i=t.offset,a=t.color,o=t.errors;n&&(_.set(a,4*i),w.set(o,4*i),g.set(r,2*i))}}));var T=c(g);u(T);var k=f(g,T);p(k),d(_),v(w)}}}function k(){u.destroy(),p.destroy(),d.destroy(),v.destroy(),g.destroy()}};var h=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]]},13472:function(t,e,r){\"use strict\";var n=r(72160),i=r(76752),a=r(50896),o=r(55616),s=r(47520),l=r(28912),u=r(71152),c=r(37816),f=c.float32,h=c.fract32,p=r(60463),d=r(51160),v=r(10272);function g(t,e){if(!(this instanceof g))return new g(t,e);if(\"function\"==typeof t?(e||(e={}),e.regl=t):e=t,e.length&&(e.positions=e),!(t=e.regl).hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=g.shaders.has(t)?g.shaders.get(t):g.shaders.set(t,g.createShaders(t)).get(t),this.update(e)}t.exports=g,g.dashMult=2,g.maxPatternLength=256,g.precisionThreshold=3e6,g.maxPoints=1e4,g.maxLines=2048,g.shaders=new p,g.createShaders=function(t){var e,r=t.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),n={primitive:\"triangle strip\",instances:t.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\"round\"===e.join?2:1},miterLimit:t.prop(\"miterLimit\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),thickness:t.prop(\"thickness\"),dashTexture:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashLength:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},i=t(a({vert:\"\\nprecision highp float;\\n\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\nattribute vec4 color;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\\n\\t// the order is important\\n\\treturn position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n}\\n\\nvoid main() {\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineOffset = lineTop * 2. - 1.;\\n\\n\\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\\n\\ttangent = normalize(diff * scale * viewport.zw);\\n\\tvec2 normal = vec2(-tangent.y, tangent.x);\\n\\n\\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\\n\\t\\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\\n\\n\\t\\t+ thickness * normal * .5 * lineOffset / viewport.zw;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n}\\n\",frag:\"\\nprecision highp float;\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\",attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:\"back\"},vert:\"\\nprecision highp float;\\n\\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\\nattribute vec4 aColor, bColor;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, translate;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\nuniform float miterLimit, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 tangent;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nconst float REVERSE_THRESHOLD = -.875;\\nconst float MIN_DIFF = 1e-6;\\n\\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\\n// TODO: precalculate dot products, normalize things beforehead etc.\\n// TODO: refactor to rectangular algorithm\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nbool isNaN( float val ){\\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\\n}\\n\\nvoid main() {\\n\\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\\n\\n  vec2 adjustedScale;\\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\",frag:\"\\nprecision highp float;\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\",attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:24,divisor:1}}},n))}catch(t){e=i}return{fill:t({primitive:\"triangle\",elements:function(t,e){return e.triangles},offset:0,vert:\"\\nprecision highp float;\\n\\nattribute vec2 position, positionFract;\\n\\nuniform vec4 color;\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio, id;\\nuniform vec4 viewport;\\nuniform float opacity;\\n\\nvarying vec4 fragColor;\\n\\nconst float MAX_LINES = 256.;\\n\\nvoid main() {\\n\\tfloat 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at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*g.dashMult*.5;ot<st;++ot)Q[rt++]=nt;nt^=255}}y.dashLength=tt,y.dashTexture({channels:1,data:Q,width:Q.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var lt=y.count,ut=t.color;ut||(ut=\"transparent\");var ct=new Uint8Array(4*lt+4);if(Array.isArray(ut)&&\"number\"!=typeof ut[0]){for(var ft=0;ft<lt;ft++){var ht=n(ut[ft],\"uint8\");ct.set(ht,4*ft)}ct.set(n(ut[0],\"uint8\"),4*lt)}else for(var pt=n(ut,\"uint8\"),dt=0;dt<lt+1;dt++)ct.set(pt,4*dt);y.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:ct})}}else e.passes[p]=null})),t.length<this.passes.length){for(var p=t.length;p<this.passes.length;p++){var y=this.passes[p];y&&(y.colorBuffer.destroy(),y.positionBuffer.destroy(),y.dashTexture.destroy())}this.passes.length=t.length}for(var m=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&m.push(this.passes[x]);return this.passes=m,this}},g.prototype.destroy=function(){return 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Uint8Array(1020),width:255,height:1,type:\"uint8\",format:\"rgba\",wrapS:\"clamp\",wrapT:\"clamp\",mag:\"nearest\",min:\"nearest\"}),c(this,{regl:t,gl:i,groups:[],markerCache:[null],markerTextures:[null],palette:a,paletteIds:{},paletteTexture:n,maxColors:255,maxSize:100,canvas:i.canvas}),this.update(e);var o={uniforms:{constPointSize:!!e.constPointSize,opacity:t.prop(\"opacity\"),paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},pixelRatio:t.context(\"pixelRatio\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translate:t.prop(\"translate\"),translateFract:t.prop(\"translateFract\"),markerTexture:t.prop(\"markerTexture\"),paletteTexture:n},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return 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vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\\n\"]),this.drawMarker=t(s);var l=c({},o);l.frag=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nuniform float opacity;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\n// `invariant` effectively turns off optimizations for the position.\\n// We need this because -fast-math on M1 Macs is re-ordering\\n// floating point operations in a way that causes floating point\\n// precision limits to put points in the wrong locations.\\ninvariant gl_Position;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 paletteSize, scale, scaleFract, translate, translateFract;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pointSizeScale;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"]),v&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}x.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},x.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},x.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},x.prototype.drawItem=function(t,e){var r,n=this.groups,o=n[t];if(\"number\"==typeof e&&(t=e,o=n[e],e=null),o&&o.count&&o.opacity){o.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,o,e));for(var s=[],l=1;l<o.activation.length;l++)o.activation[l]&&(!0===o.activation[l]||o.activation[l].data.length)&&s.push.apply(s,function(t){if(Array.isArray(t))return a(t)}(r=this.getMarkerDrawOptions(l,o,e))||function(t){if(\"undefined\"!=typeof Symbol&&null!=t[Symbol.iterator]||null!=t[\"@@iterator\"])return Array.from(t)}(r)||i(r)||function(){throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}());s.length&&this.drawMarker(s)}},x.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,u=e.count;if(this.regl,!a)return r?[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var f=[],h=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(u),v=0;v<r.length;v++){var g=r[v];d[g]=p?p[g]:1}l.subdata(d)}for(var y=h.length;y--;){var m=n(h[y],2),x=m[0],b=m[1];f.push(c({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return f},x.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,l=this.maxSize,f=this.maxColors,v=this.palette;this.groups=i=r.map((function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:\"function\"==typeof e?e={ondraw:e}:\"number\"==typeof e[0]&&(e={positions:e}),null===(e=h(e,{positions:\"positions data points\",snap:\"snap cluster lod tree\",size:\"sizes size radius\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",color:\"colors color fill fill-color fillColor\",borderColor:\"borderColors borderColor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range dataBox databox\",viewport:\"viewport viewPort viewBox viewbox\",opacity:\"opacity alpha transparency\",bounds:\"bound bounds boundaries limits\",tooManyColors:\"tooManyColors palette paletteMode optimizePalette enablePalette\"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(i[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:\"stream\",type:\"uint8\"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"})},e=c({},x.defaults,e)),e.positions&&!(\"marker\"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!(\"positions\"in e)&&(e.positions=n.positions,delete n.positions);var m=0,b=0;if(p(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=x.defaults.size),m+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=x.defaults.borderSize),m+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=x.defaults.color),e=t.updateColor(e),b++,e},borderColor:function(e,r){return null==e&&(e=x.defaults.borderColor),e=t.updateColor(e),b++,e},bounds:function(t,e,r){return\"range\"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,i=e.positionBuffer,a=e.positionFractBuffer,l=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=d(t,\"float64\");var c=e.count=Math.floor(t.length/2),f=e.bounds=c?s(t,2):null;if(r.range||e.range||(delete e.range,r.range=f),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||c>n)?e.tree=u(t,{bounds:f}):n&&n.length&&(e.tree=n),e.tree){var h={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(h):e.elements=o.elements(h)}var p=g.float32(t);return i({data:p,usage:\"dynamic\"}),a({data:g.fract32(t,p),usage:\"dynamic\"}),l({data:new Uint8Array(c),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var i=r.activation;if(i.forEach((function(t){return t&&t.destroy&&t.destroy()})),i.length=0,e&&\"number\"!=typeof e[0]){for(var a=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var u=t.addMarker(e[s]);a[u]||(a[u]=new Uint8Array(r.count)),a[u][s]=1}for(var c=0;c<a.length;c++)if(a[c]){var f={data:a[c],type:\"uint8\",usage:\"static\"};i[c]?i[c](f):i[c]=o.buffer(f),i[c].data=a[c]}}else i[t.addMarker(e)]=!0;return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=g.fract(e.scale),e.translateFract=g.fract(e.translate),t},viewport:function(t){return y(t||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),m){var _=n,w=_.count,T=_.size,k=_.borderSize,A=_.sizeBuffer,M=new Uint8Array(2*w);if(T.length||k.length)for(var S=0;S<w;S++)M[2*S]=Math.round(255*(null==T[S]?T:T[S])/l),M[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/l);A({data:M,usage:\"dynamic\"})}if(b){var E,L=n,C=L.count,P=L.color,O=L.borderColor,I=L.colorBuffer;if(t.tooManyColors){if(P.length||O.length){E=new Uint8Array(8*C);for(var z=0;z<C;z++){var D=P[z];E[8*z]=v[4*D],E[8*z+1]=v[4*D+1],E[8*z+2]=v[4*D+2],E[8*z+3]=v[4*D+3];var R=O[z];E[8*z+4]=v[4*R],E[8*z+5]=v[4*R+1],E[8*z+6]=v[4*R+2],E[8*z+7]=v[4*R+3]}}}else if(P.length||O.length){E=new Uint8Array(4*C+2);for(var F=0;F<C;F++)null!=P[F]&&(E[4*F]=P[F]%f,E[4*F+1]=Math.floor(P[F]/f)),null!=O[F]&&(E[4*F+2]=O[F]%f,E[4*F+3]=Math.floor(O[F]/f))}I({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return n}))}},x.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,i=this.markerCache,a=null==t?0:i.indexOf(t);if(a>=0)return a;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return a=r.length,i.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:\"linear\",min:\"linear\"})),a},x.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var i=[];if(\"number\"==typeof t[0]){var a=[];if(Array.isArray(t))for(var s=0;s<t.length;s+=4)a.push(t.slice(s,s+4));else for(var u=0;u<t.length;u+=4)a.push(t.subarray(u,u+4));t=a}for(var c=0;c<t.length;c++){var f=t[c];f=o(f,\"uint8\");var h=l(f,!1);if(null==e[h]){var p=r.length;e[h]=Math.floor(p/4),r[p]=f[0],r[p+1]=f[1],r[p+2]=f[2],r[p+3]=f[3]}i[c]=e[h]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===i.length?i[0]:i},x.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var i=.25*(t=t.slice()).length%e;i<n*e;i++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},x.prototype.destroy=function(){return this.groups.forEach((function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach((function(t){return t&&t.destroy&&t.destroy()})),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()})),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach((function(t){return t&&t.destroy&&t.destroy()})),this};var b=r(50896);t.exports=function(t,e){var r=new m(t,e),n=r.render.bind(r);return b(n,{render:n,update:r.update.bind(r),draw:r.draw.bind(r),destroy:r.destroy.bind(r),regl:r.regl,gl:r.gl,canvas:r.gl.canvas,groups:r.groups,markers:r.markerCache,palette:r.palette}),n}},55795:function(t,e,r){\"use strict\";var n=r(38540),i=r(55616),a=r(76752),o=r(3951),s=r(67752),l=r(51160),u=r(47520);function c(t,e){if(!(this instanceof c))return new c(t,e);this.traces=[],this.passes={},this.regl=t,this.scatter=n(t),this.canvas=this.scatter.canvas}function f(t,e,r){return(null!=t.id?t.id:t)<<16|(255&e)<<8|255&r}function h(t,e,r){var n,i,a,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],i=s[3]):s.length?(n=s[0],i=s[1]):(s.x,n=s.y,s.x,s.width,i=s.y+s.height),l.length>2?(a=l[0],o=l[2],l[1],l[3]):l.length?(a=l[0],o=l[1]):(a=l.x,l.y,o=l.x+l.width,l.y,l.height),[a,n,o,i]}function p(t){if(\"number\"==typeof t)return[t,t,t,t];if(2===t.length)return[t[0],t[1],t[0],t[1]];var e=l(t);return[e.x,e.y,e.x+e.width,e.y+e.height]}t.exports=c,c.prototype.render=function(){for(var t,e=this,r=[],n=arguments.length;n--;)r[n]=arguments[n];return r.length&&(t=this).update.apply(t,r),this.regl.attributes.preserveDrawingBuffer?this.draw():(this.dirty?null==this.planned&&(this.planned=o((function(){e.draw(),e.dirty=!0,e.planned=null}))):(this.draw(),this.dirty=!0,o((function(){e.dirty=!1}))),this)},c.prototype.update=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=0;n<e.length;n++)this.updateItem(n,e[n]);this.traces=this.traces.filter(Boolean);for(var i=[],a=0,o=0;o<this.traces.length;o++){for(var s=this.traces[o],l=this.traces[o].passes,u=0;u<l.length;u++)i.push(this.passes[l[u]]);s.passOffset=a,a+=s.passes.length}return(t=this.scatter).update.apply(t,i),this}},c.prototype.updateItem=function(t,e){var r=this.regl;if(null===e)return this.traces[t]=null,this;if(!e)return this;var n,o=i(e,{data:\"data items columns rows values 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Uint8Array}),color:\"black\",marker:null,size:12,borderColor:\"transparent\",borderSize:1,viewport:l([r._gl.drawingBufferWidth,r._gl.drawingBufferHeight]),padding:[0,0,0,0],opacity:1,diagonal:!0,upper:!0,lower:!0});if(null!=o.color&&(s.color=o.color),null!=o.size&&(s.size=o.size),null!=o.marker&&(s.marker=o.marker),null!=o.borderColor&&(s.borderColor=o.borderColor),null!=o.borderSize&&(s.borderSize=o.borderSize),null!=o.opacity&&(s.opacity=o.opacity),o.viewport&&(s.viewport=l(o.viewport)),null!=o.diagonal&&(s.diagonal=o.diagonal),null!=o.upper&&(s.upper=o.upper),null!=o.lower&&(s.lower=o.lower),o.data){s.buffer(u(o.data)),s.columns=o.data.length,s.count=o.data[0].length,s.bounds=[];for(var c=0;c<s.columns;c++)s.bounds[c]=a(o.data[c],1)}o.range&&(s.range=o.range,n=s.range&&\"number\"!=typeof s.range[0]),o.domain&&(s.domain=o.domain);var d=!1;null!=o.padding&&(Array.isArray(o.padding)&&o.padding.length===s.columns&&\"number\"==typeof o.padding[o.padding.length-1]?(s.padding=o.padding.map(p),d=!0):s.padding=p(o.padding));var v=s.columns,g=s.count,y=s.viewport.width,m=s.viewport.height,x=s.viewport.x,b=s.viewport.y,_=y/v,w=m/v;s.passes=[];for(var T=0;T<v;T++)for(var k=0;k<v;k++)if((s.diagonal||k!==T)&&(s.upper||!(T>k))&&(s.lower||!(T<k))){var A=f(s.id,T,k),M=this.passes[A]||(this.passes[A]={});if(o.data&&(o.transpose?M.positions={x:{buffer:s.buffer,offset:k,count:g,stride:v},y:{buffer:s.buffer,offset:T,count:g,stride:v}}:M.positions={x:{buffer:s.buffer,offset:k*g,count:g},y:{buffer:s.buffer,offset:T*g,count:g}},M.bounds=h(s.bounds,T,k)),o.domain||o.viewport||o.data){var S=d?h(s.padding,T,k):s.padding;if(s.domain){var E=h(s.domain,T,k),L=E[0],C=E[1],P=E[2],O=E[3];M.viewport=[x+L*y+S[0],b+C*m+S[1],x+P*y-S[2],b+O*m-S[3]]}else M.viewport=[x+k*_+_*S[0],b+T*w+w*S[1],x+(k+1)*_-_*S[2],b+(T+1)*w-w*S[3]]}o.color&&(M.color=s.color),o.size&&(M.size=s.size),o.marker&&(M.marker=s.marker),o.borderSize&&(M.borderSize=s.borderSize),o.borderColor&&(M.borderColor=s.borderColor),o.opacity&&(M.opacity=s.opacity),o.range&&(M.range=n?h(s.range,T,k):s.range||M.bounds),s.passes.push(A)}return this},c.prototype.draw=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=[],i=0;i<e.length;i++)if(\"number\"==typeof e[i]){var a=this.traces[e[i]],o=a.passes,l=a.passOffset;n.push.apply(n,s(l,l+o.length))}else if(e[i].length){var u=e[i],c=this.traces[i],f=c.passes,h=c.passOffset;f=f.map((function(t,e){n[h+e]=u}))}(t=this.scatter).draw.apply(t,n)}else this.scatter.draw();return this},c.prototype.destroy=function(){return this.traces.forEach((function(t){t.buffer&&t.buffer.destroy&&t.buffer.destroy()})),this.traces=null,this.passes=null,this.scatter.destroy(),this}},28624:function(t){t.exports=function(){function t(t,e){this.id=W++,this.type=t,this.data=e}function e(t){if(0===t.length)return[];var r=t.charAt(0),n=t.charAt(t.length-1);if(1<t.length&&r===n&&('\"'===r||\"'\"===r))return['\"'+t.substr(1,t.length-2).replace(/\\\\/g,\"\\\\\\\\\").replace(/\"/g,'\\\\\"')+'\"'];if(r=/\\[(false|true|null|\\d+|'[^']*'|\"[^\"]*\")\\]/.exec(t))return e(t.substr(0,r.index)).concat(e(r[1])).concat(e(t.substr(r.index+r[0].length)));if(1===(r=t.split(\".\")).length)return['\"'+t.replace(/\\\\/g,\"\\\\\\\\\").replace(/\"/g,'\\\\\"')+'\"'];for(t=[],n=0;n<r.length;++n)t=t.concat(e(r[n]));return t}function r(t){return\"[\"+e(t).join(\"][\")+\"]\"}function n(t){return\"string\"==typeof t?t.split():t}function i(t){return\"string\"==typeof t?document.querySelector(t):t}function a(t){var e,r,a,o,s=t||{};t={};var 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),13},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),400},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/8)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]},daysInWeek:function(){return 8},dayOfWeek:function(t,e,r){return(this._validate(t,e,r,n.local.invalidDate).day()+1)%8},weekDay:function(t,e,r){var n=this.dayOfWeek(t,e,r);return n>=2&&n<=6},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{century:o[Math.floor((i.year()-1)/100)+1]||\"\"}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year()+(i.year()<0?1:0),e=i.month(),(r=i.day())+(e>1?16:0)+(e>2?32*(e-2):0)+400*(t-1)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t+.5)-Math.floor(this.jdEpoch)-1;var e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=a},65168:function(t,e,r){var n=r(38700),i=r(50896);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||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return this.newDate(r,n,i)}}),n.calendars.ethiopian=a},2084:function(t,e,r){var n=r(38700),i=r(50896);function 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return this._leapYear(e.year())},_leapYear:function(t){return o(7*(t=t<0?t+1:t)+1,19)<7},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),this._leapYear(t.year?t.year():t)?13:12},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),this.toJD(-1===t?1:t+1,7,1)-this.toJD(t,7,1)},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),12===e&&this.leapYear(t)||8===e&&5===o(this.daysInYear(t),10)?30:9===e&&3===o(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var 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<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return 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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},24747:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,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=i.year(),e=i.month(),r=i.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),i=Math.floor((e-n)/30.6001),a=i-Math.floor(i<14?1:13),o=r-Math.floor(a>2?4716:4715),s=e-n-Math.floor(30.6001*i);return o<=0&&o--,this.newDate(o,a,s)}}),n.calendars.julian=a},65616:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}function s(t,e){return o(t-1,e)+1}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;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return 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o=n.instance(\"gregorian\");i(a.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidMonth);(t=i.year())<0&&t++;for(var a=i.day(),s=1;s<i.month();s++)a+=this.daysPerMonth[s-1];return a+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=a},73040:function(t,e,r){var n=r(38700),i=r(50896);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 u=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(u)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(u,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=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 u=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,u)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 0===this.NEPALI_CALENDAR_DATA[r]&&(this.NEPALI_CALENDAR_DATA[r]=e)},NEPALI_CALENDAR_DATA:{1970:[18,31,31,32,31,31,31,30,29,30,29,30,30],1971:[18,31,31,32,31,32,30,30,29,30,29,30,30],1972:[17,31,32,31,32,31,30,30,30,29,29,30,30],1973:[19,30,32,31,32,31,30,30,30,29,30,29,31],1974:[19,31,31,32,30,31,31,30,29,30,29,30,30],1975:[18,31,31,32,32,30,31,30,29,30,29,30,30],1976:[17,31,32,31,32,31,30,30,30,29,29,30,31],1977:[18,31,32,31,32,31,31,29,30,29,30,29,31],1978:[18,31,31,32,31,31,31,30,29,30,29,30,30],1979:[18,31,31,32,32,31,30,30,29,30,29,30,30],1980:[17,31,32,31,32,31,30,30,30,29,29,30,31],1981:[18,31,31,31,32,31,31,29,30,30,29,30,30],1982:[18,31,31,32,31,31,31,30,29,30,29,30,30],1983:[18,31,31,32,32,31,30,30,29,30,29,30,30],1984:[17,31,32,31,32,31,30,30,30,29,29,30,31],1985:[18,31,31,31,32,31,31,29,30,30,29,30,30],1986:[18,31,31,32,31,31,31,30,29,30,29,30,30],1987:[18,31,32,31,32,31,30,30,29,30,29,30,30],1988:[17,31,32,31,32,31,30,30,30,29,29,30,31],1989:[18,31,31,31,32,31,31,30,29,30,29,30,30],1990:[18,31,31,32,31,31,31,30,29,30,29,30,30],1991:[18,31,32,31,32,31,30,30,29,30,29,30,30],1992:[17,31,32,31,32,31,30,30,30,29,30,29,31],1993:[18,31,31,31,32,31,31,30,29,30,29,30,30],1994:[18,31,31,32,31,31,31,30,29,30,29,30,30],1995:[17,31,32,31,32,31,30,30,30,29,29,30,30],1996:[17,31,32,31,32,31,30,30,30,29,30,29,31],1997:[18,31,31,32,31,31,31,30,29,30,29,30,30],1998:[18,31,31,32,31,31,31,30,29,30,29,30,30],1999:[17,31,32,31,32,31,30,30,30,29,29,30,31],2e3:[17,30,32,31,32,31,30,30,30,29,30,29,31],2001:[18,31,31,32,31,31,31,30,29,30,29,30,30],2002:[18,31,31,32,32,31,30,30,29,30,29,30,30],2003:[17,31,32,31,32,31,30,30,30,29,29,30,31],2004:[17,30,32,31,32,31,30,30,30,29,30,29,31],2005:[18,31,31,32,31,31,31,30,29,30,29,30,30],2006:[18,31,31,32,32,31,30,30,29,30,29,30,30],2007:[17,31,32,31,32,31,30,30,30,29,29,30,31],2008:[17,31,31,31,32,31,31,29,30,30,29,29,31],2009:[18,31,31,32,31,31,31,30,29,30,29,30,30],2010:[18,31,31,32,32,31,30,30,29,30,29,30,30],2011:[17,31,32,31,32,31,30,30,30,29,29,30,31],2012:[17,31,31,31,32,31,31,29,30,30,29,30,30],2013:[18,31,31,32,31,31,31,30,29,30,29,30,30],2014:[18,31,31,32,32,31,30,30,29,30,29,30,30],2015:[17,31,32,31,32,31,30,30,30,29,29,30,31],2016:[17,31,31,31,32,31,31,29,30,30,29,30,30],2017:[18,31,31,32,31,31,31,30,29,30,29,30,30],2018:[18,31,32,31,32,31,30,30,29,30,29,30,30],2019:[17,31,32,31,32,31,30,30,30,29,30,29,31],2020:[17,31,31,31,32,31,31,30,29,30,29,30,30],2021:[18,31,31,32,31,31,31,30,29,30,29,30,30],2022:[17,31,32,31,32,31,30,30,30,29,29,30,30],2023:[17,31,32,31,32,31,30,30,30,29,30,29,31],2024:[17,31,31,31,32,31,31,30,29,30,29,30,30],2025:[18,31,31,32,31,31,31,30,29,30,29,30,30],2026:[17,31,32,31,32,31,30,30,30,29,29,30,31],2027:[17,30,32,31,32,31,30,30,30,29,30,29,31],2028:[17,31,31,32,31,31,31,30,29,30,29,30,30],2029:[18,31,31,32,31,32,30,30,29,30,29,30,30],2030:[17,31,32,31,32,31,30,30,30,30,30,30,31],2031:[17,31,32,31,32,31,31,31,31,31,31,31,31],2032:[17,32,32,32,32,32,32,32,32,32,32,32,32],2033:[18,31,31,32,32,31,30,30,29,30,29,30,30],2034:[17,31,32,31,32,31,30,30,30,29,29,30,31],2035:[17,30,32,31,32,31,31,29,30,30,29,29,31],2036:[17,31,31,32,31,31,31,30,29,30,29,30,30],2037:[18,31,31,32,32,31,30,30,29,30,29,30,30],2038:[17,31,32,31,32,31,30,30,30,29,29,30,31],2039:[17,31,31,31,32,31,31,29,30,30,29,30,30],2040:[17,31,31,32,31,31,31,30,29,30,29,30,30],2041:[18,31,31,32,32,31,30,30,29,30,29,30,30],2042:[17,31,32,31,32,31,30,30,30,29,29,30,31],2043:[17,31,31,31,32,31,31,29,30,30,29,30,30],2044:[17,31,31,32,31,31,31,30,29,30,29,30,30],2045:[18,31,32,31,32,31,30,30,29,30,29,30,30],2046:[17,31,32,31,32,31,30,30,30,29,29,30,31],2047:[17,31,31,31,32,31,31,30,29,30,29,30,30],2048:[17,31,31,32,31,31,31,30,29,30,29,30,30],2049:[17,31,32,31,32,31,30,30,30,29,29,30,30],2050:[17,31,32,31,32,31,30,30,30,29,30,29,31],2051:[17,31,31,31,32,31,31,30,29,30,29,30,30],2052:[17,31,31,32,31,31,31,30,29,30,29,30,30],2053:[17,31,32,31,32,31,30,30,30,29,29,30,30],2054:[17,31,32,31,32,31,30,30,30,29,30,29,31],2055:[17,31,31,32,31,31,31,30,29,30,30,29,30],2056:[17,31,31,32,31,32,30,30,29,30,29,30,30],2057:[17,31,32,31,32,31,30,30,30,29,29,30,31],2058:[17,30,32,31,32,31,30,30,30,29,30,29,31],2059:[17,31,31,32,31,31,31,30,29,30,29,30,30],2060:[17,31,31,32,32,31,30,30,29,30,29,30,30],2061:[17,31,32,31,32,31,30,30,30,29,29,30,31],2062:[17,30,32,31,32,31,31,29,30,29,30,29,31],2063:[17,31,31,32,31,31,31,30,29,30,29,30,30],2064:[17,31,31,32,32,31,30,30,29,30,29,30,30],2065:[17,31,32,31,32,31,30,30,30,29,29,30,31],2066:[17,31,31,31,32,31,31,29,30,30,29,29,31],2067:[17,31,31,32,31,31,31,30,29,30,29,30,30],2068:[17,31,31,32,32,31,30,30,29,30,29,30,30],2069:[17,31,32,31,32,31,30,30,30,29,29,30,31],2070:[17,31,31,31,32,31,31,29,30,30,29,30,30],2071:[17,31,31,32,31,31,31,30,29,30,29,30,30],2072:[17,31,32,31,32,31,30,30,29,30,29,30,30],2073:[17,31,32,31,32,31,30,30,30,29,29,30,31],2074:[17,31,31,31,32,31,31,30,29,30,29,30,30],2075:[17,31,31,32,31,31,31,30,29,30,29,30,30],2076:[16,31,32,31,32,31,30,30,30,29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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,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 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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},4592:function(t,e,r){var n=r(38700),i=r(50896),a=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new 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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},45348:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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n=r(50896);function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(u.local.differentCalendars||u.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);i=t.day(),\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),i=new Date(n.year(),n.month()-1,n.day());return i.setHours(0),i.setMinutes(0),i.setSeconds(0),i.setMilliseconds(0),i.setHours(i.getHours()>12?i.getHours()+2:0),i},fromJSDate:function(t){return this.newDate(t.getFullYear(),t.getMonth()+1,t.getDate())}});var u=t.exports=new i;u.cdate=a,u.baseCalendar=s,u.calendars.gregorian=l},15168:function(t,e,r){var n=r(50896),i=r(38700);n(i.regionalOptions[\"\"],{invalidArguments:\"Invalid arguments\",invalidFormat:\"Cannot format a date from another calendar\",missingNumberAt:\"Missing number at position {0}\",unknownNameAt:\"Unknown name at position {0}\",unexpectedLiteralAt:\"Unexpected literal at position {0}\",unexpectedText:\"Additional text found at end\"}),i.local=i.regionalOptions[\"\"],n(i.cdate.prototype,{formatDate:function(t,e){return\"string\"!=typeof 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-     "shell.execute_reply.started": "2024-06-28T09:40:57.287890Z"
+     "iopub.execute_input": "2025-10-14T20:20:28.758492Z",
+     "iopub.status.busy": "2025-10-14T20:20:28.758317Z",
+     "iopub.status.idle": "2025-10-14T20:20:28.761510Z",
+     "shell.execute_reply": "2025-10-14T20:20:28.761116Z",
+     "shell.execute_reply.started": "2025-10-14T20:20:28.758474Z"
     },
     "jupyter": {
      "outputs_hidden": false
@@ -8935,11 +494,11 @@
    "metadata": {
     "collapsed": false,
     "execution": {
-     "iopub.execute_input": "2024-06-28T09:40:57.294832Z",
-     "iopub.status.busy": "2024-06-28T09:40:57.294602Z",
-     "iopub.status.idle": "2024-06-28T09:40:57.304022Z",
-     "shell.execute_reply": "2024-06-28T09:40:57.303564Z",
-     "shell.execute_reply.started": "2024-06-28T09:40:57.294815Z"
+     "iopub.execute_input": "2025-10-14T20:20:28.762187Z",
+     "iopub.status.busy": "2025-10-14T20:20:28.762033Z",
+     "iopub.status.idle": "2025-10-14T20:20:28.765172Z",
+     "shell.execute_reply": "2025-10-14T20:20:28.764764Z",
+     "shell.execute_reply.started": "2025-10-14T20:20:28.762172Z"
     },
     "jupyter": {
      "outputs_hidden": false
@@ -8975,11 +534,11 @@
    "metadata": {
     "collapsed": false,
     "execution": {
-     "iopub.execute_input": "2024-06-28T09:40:57.304890Z",
-     "iopub.status.busy": "2024-06-28T09:40:57.304673Z",
-     "iopub.status.idle": "2024-06-28T09:40:57.311057Z",
-     "shell.execute_reply": "2024-06-28T09:40:57.310485Z",
-     "shell.execute_reply.started": "2024-06-28T09:40:57.304874Z"
+     "iopub.execute_input": "2025-10-14T20:20:28.765752Z",
+     "iopub.status.busy": "2025-10-14T20:20:28.765601Z",
+     "iopub.status.idle": "2025-10-14T20:20:28.768920Z",
+     "shell.execute_reply": "2025-10-14T20:20:28.768506Z",
+     "shell.execute_reply.started": "2025-10-14T20:20:28.765738Z"
     },
     "jupyter": {
      "outputs_hidden": false
@@ -8992,7 +551,7 @@
        "<h2>Fit Result</h2> <table class=\"jp-toc-ignore\"><caption class=\"jp-toc-ignore\">Fit Statistics</caption><tr><td style='text-align:left'>fitting method</td><td style='text-align:right'>leastsq</td></tr><tr><td style='text-align:left'># function evals</td><td style='text-align:right'>13</td></tr><tr><td style='text-align:left'># data points</td><td style='text-align:right'>1182</td></tr><tr><td style='text-align:left'># variables</td><td style='text-align:right'>1</td></tr><tr><td style='text-align:left'>chi-square</td><td style='text-align:right'> 0.01692337</td></tr><tr><td style='text-align:left'>reduced chi-square</td><td style='text-align:right'> 1.4330e-05</td></tr><tr><td style='text-align:left'>Akaike info crit.</td><td style='text-align:right'>-13182.0548</td></tr><tr><td style='text-align:left'>Bayesian info crit.</td><td style='text-align:right'>-13176.9798</td></tr></table><table class=\"jp-toc-ignore\"><caption>Parameters</caption><tr><th style='text-align:left'>name</th><th style='text-align:left'>value</th><th style='text-align:left'>standard error</th><th style='text-align:left'>relative error</th><th style='text-align:left'>initial value</th><th style='text-align:left'>min</th><th style='text-align:left'>max</th><th style='text-align:right'>vary</th></tr><tr><td style='text-align:left'>SiO2_n0</td><td style='text-align:left'> 1.45200000</td><td style='text-align:left'> 0.00000000</td><td style='text-align:left'>(0.00%)</td><td style='text-align:left'>1.452</td><td style='text-align:left'>-100.000000</td><td style='text-align:left'> 100.000000</td><td style='text-align:right'>False</td></tr><tr><td style='text-align:left'>SiO2_n1</td><td style='text-align:left'> 36.0000000</td><td style='text-align:left'> 0.00000000</td><td style='text-align:left'>(0.00%)</td><td style='text-align:left'>36.0</td><td style='text-align:left'>-40000.0000</td><td style='text-align:left'> 40000.0000</td><td style='text-align:right'>False</td></tr><tr><td style='text-align:left'>SiO2_n2</td><td style='text-align:left'> 0.00000000</td><td style='text-align:left'> 0.00000000</td><td style='text-align:left'></td><td style='text-align:left'>0</td><td style='text-align:left'>-40000.0000</td><td style='text-align:left'> 40000.0000</td><td style='text-align:right'>False</td></tr><tr><td style='text-align:left'>SiO2_k0</td><td style='text-align:left'> 0.00000000</td><td style='text-align:left'> 0.00000000</td><td style='text-align:left'></td><td style='text-align:left'>0</td><td style='text-align:left'>-100.000000</td><td style='text-align:left'> 100.000000</td><td style='text-align:right'>False</td></tr><tr><td style='text-align:left'>SiO2_k1</td><td style='text-align:left'> 0.00000000</td><td style='text-align:left'> 0.00000000</td><td style='text-align:left'></td><td style='text-align:left'>0</td><td style='text-align:left'>-40000.0000</td><td style='text-align:left'> 40000.0000</td><td style='text-align:right'>False</td></tr><tr><td style='text-align:left'>SiO2_k2</td><td style='text-align:left'> 0.00000000</td><td style='text-align:left'> 0.00000000</td><td style='text-align:left'></td><td style='text-align:left'>0</td><td style='text-align:left'>-40000.0000</td><td style='text-align:left'> 40000.0000</td><td style='text-align:right'>False</td></tr><tr><td style='text-align:left'>SiO2_d</td><td style='text-align:left'> 2.06578929</td><td style='text-align:left'> 0.00753074</td><td style='text-align:left'>(0.36%)</td><td style='text-align:left'>20</td><td style='text-align:left'> 0.00000000</td><td style='text-align:left'> 40000.0000</td><td style='text-align:right'>True</td></tr></table>"
       ],
       "text/plain": [
-       "<lmfit.minimizer.MinimizerResult at 0x7fd53633f830>"
+       "<lmfit.minimizer.MinimizerResult at 0x7f4abc43eba0>"
       ]
      },
      "execution_count": 14,
@@ -9031,7 +590,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.3"
+   "version": "3.13.7"
   }
  },
  "nbformat": 4,
diff --git a/examples/Bragg-mirror/Bragg-Mirror.ipynb b/examples/Bragg-mirror/Bragg-Mirror.ipynb
index b37ff140..612a110f 100644
--- a/examples/Bragg-mirror/Bragg-Mirror.ipynb
+++ b/examples/Bragg-mirror/Bragg-Mirror.ipynb
@@ -6,11 +6,11 @@
    "metadata": {
     "collapsed": false,
     "execution": {
-     "iopub.execute_input": "2024-06-28T08:26:11.132616Z",
-     "iopub.status.busy": "2024-06-28T08:26:11.132372Z",
-     "iopub.status.idle": "2024-06-28T08:26:11.412976Z",
-     "shell.execute_reply": "2024-06-28T08:26:11.412487Z",
-     "shell.execute_reply.started": "2024-06-28T08:26:11.132598Z"
+     "iopub.execute_input": "2025-09-23T21:09:21.851946Z",
+     "iopub.status.busy": "2025-09-23T21:09:21.851719Z",
+     "iopub.status.idle": "2025-09-23T21:09:22.123166Z",
+     "shell.execute_reply": "2025-09-23T21:09:22.122836Z",
+     "shell.execute_reply.started": "2025-09-23T21:09:21.851931Z"
     },
     "jupyter": {
      "outputs_hidden": false
@@ -25,18 +25,11 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "\n",
-    "# TiO2/SiO2 Bragg mirror\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Example of a TiO2/SiO2 Bragg mirror with 8.5 periods\n",
-    "\n",
+    "# TiO2/SiO2 Bragg mirror simulation\n",
     "Authors: O. Castany, M.Müller\n",
-    "\n"
+    "\n",
+    "This notebook simulates a Bragg mirror composed of alternating layers of TiO₂ and SiO₂, each a quarter-wavelength thick at a central wavelength of 1550 nm.\n",
+    "The mirror contains 8.5 periods, with air as the incident medium and glass as the substrate."
    ]
   },
   {
@@ -45,11 +38,11 @@
    "metadata": {
     "collapsed": false,
     "execution": {
-     "iopub.execute_input": "2024-06-28T08:26:11.413924Z",
-     "iopub.status.busy": "2024-06-28T08:26:11.413595Z",
-     "iopub.status.idle": "2024-06-28T08:26:12.488892Z",
-     "shell.execute_reply": "2024-06-28T08:26:12.488381Z",
-     "shell.execute_reply.started": "2024-06-28T08:26:11.413906Z"
+     "iopub.execute_input": "2025-09-23T21:09:22.123621Z",
+     "iopub.status.busy": "2025-09-23T21:09:22.123485Z",
+     "iopub.status.idle": "2025-09-23T21:09:23.264485Z",
+     "shell.execute_reply": "2025-09-23T21:09:23.264147Z",
+     "shell.execute_reply.started": "2025-09-23T21:09:22.123611Z"
     },
     "jupyter": {
      "outputs_hidden": false
@@ -70,9 +63,9 @@
    "metadata": {},
    "source": [
     "## Material definition\n",
-    "We define air as incidence material and glass as exit material.\n",
-    "SiO2 and TiO2 are defined by simplified dispersion relations.\n",
-    "\n"
+    "We define all required materials with constant (non-dispersive) refractive indicies.\n",
+    "\n",
+    "Air as incidence material and glass as exit material. The Bragg mirror materials are SiO2 and TiO2."
    ]
   },
   {
@@ -81,11 +74,11 @@
    "metadata": {
     "collapsed": false,
     "execution": {
-     "iopub.execute_input": "2024-06-28T08:26:12.489479Z",
-     "iopub.status.busy": "2024-06-28T08:26:12.489283Z",
-     "iopub.status.idle": "2024-06-28T08:26:12.492266Z",
-     "shell.execute_reply": "2024-06-28T08:26:12.491917Z",
-     "shell.execute_reply.started": "2024-06-28T08:26:12.489469Z"
+     "iopub.execute_input": "2025-09-23T21:09:23.265067Z",
+     "iopub.status.busy": "2025-09-23T21:09:23.264856Z",
+     "iopub.status.idle": "2025-09-23T21:09:23.268407Z",
+     "shell.execute_reply": "2025-09-23T21:09:23.268027Z",
+     "shell.execute_reply.started": "2025-09-23T21:09:23.265048Z"
     },
     "jupyter": {
      "outputs_hidden": false
@@ -95,25 +88,17 @@
    "source": [
     "air = elli.AIR\n",
     "glass = elli.ConstantRefractiveIndex(1.5).get_mat()\n",
-    "\n",
-    "n_SiO2 = 1.47\n",
-    "n_TiO2 = 2.23 + 1j * 5.2e-4\n",
-    "\n",
-    "SiO2 = elli.ConstantRefractiveIndex(n_SiO2).get_mat()\n",
-    "TiO2 = elli.ConstantRefractiveIndex(n_TiO2).get_mat()"
+    "SiO2 = elli.ConstantRefractiveIndex(1.47).get_mat()\n",
+    "TiO2 = elli.ConstantRefractiveIndex(2.23 + 1j * 5.2e-4).get_mat()"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Create layers and structure\n",
+    "## Calculate layer thickness and create layers\n",
     "The SiO2 and TiO2 layers are set to the thickness of an\n",
-    "quarterwaveplate of the respective material at 1550 nm.\n",
-    "\n",
-    "The layers are then stacked alternatingly and put into the\n",
-    "complete structure with air and the glass substrate.\n",
-    "\n"
+    "quarterwaveplate of the respective material at 1550 nm."
    ]
   },
   {
@@ -122,11 +107,11 @@
    "metadata": {
     "collapsed": false,
     "execution": {
-     "iopub.execute_input": "2024-06-28T08:26:12.492806Z",
-     "iopub.status.busy": "2024-06-28T08:26:12.492695Z",
-     "iopub.status.idle": "2024-06-28T08:26:12.498792Z",
-     "shell.execute_reply": "2024-06-28T08:26:12.498451Z",
-     "shell.execute_reply.started": "2024-06-28T08:26:12.492795Z"
+     "iopub.execute_input": "2025-09-23T21:09:23.268870Z",
+     "iopub.status.busy": "2025-09-23T21:09:23.268758Z",
+     "iopub.status.idle": "2025-09-23T21:09:23.273183Z",
+     "shell.execute_reply": "2025-09-23T21:09:23.272848Z",
+     "shell.execute_reply.started": "2025-09-23T21:09:23.268859Z"
     },
     "jupyter": {
      "outputs_hidden": false
@@ -152,20 +137,22 @@
     "print(\"Thickness of the TiO2 QWP: {} nm\".format(d_TiO2))\n",
     "\n",
     "L_SiO2 = elli.Layer(SiO2, d_SiO2)\n",
-    "L_TiO2 = elli.Layer(TiO2, d_TiO2)\n",
-    "\n",
-    "# Repeated layers: 8.5 periods\n",
-    "layerstack = elli.RepeatedLayers([L_TiO2, L_SiO2], 8, 0, 1)\n",
-    "\n",
-    "s = elli.Structure(air, [layerstack], glass)"
+    "L_TiO2 = elli.Layer(TiO2, d_TiO2)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Calculation\n",
-    "\n"
+    "# Build the Bragg Mirror Structure\n",
+    "\n",
+    "We now build the multilayer stack:\n",
+    "\n",
+    "Alternating layers of TiO2 / SiO2:\n",
+    "\n",
+    "8 full periods + 1 TiO2 layer at the end → \"8.5 periods\"\n",
+    "\n",
+    "Placed between air (front) and glass (back)"
    ]
   },
   {
@@ -174,11 +161,11 @@
    "metadata": {
     "collapsed": false,
     "execution": {
-     "iopub.execute_input": "2024-06-28T08:26:12.499340Z",
-     "iopub.status.busy": "2024-06-28T08:26:12.499203Z",
-     "iopub.status.idle": "2024-06-28T08:26:12.515044Z",
-     "shell.execute_reply": "2024-06-28T08:26:12.514734Z",
-     "shell.execute_reply.started": "2024-06-28T08:26:12.499328Z"
+     "iopub.execute_input": "2025-09-23T21:09:23.273699Z",
+     "iopub.status.busy": "2025-09-23T21:09:23.273574Z",
+     "iopub.status.idle": "2025-09-23T21:09:23.275829Z",
+     "shell.execute_reply": "2025-09-23T21:09:23.275490Z",
+     "shell.execute_reply.started": "2025-09-23T21:09:23.273688Z"
     },
     "jupyter": {
      "outputs_hidden": false
@@ -186,22 +173,19 @@
    },
    "outputs": [],
    "source": [
-    "(lbda1, lbda2) = (1100, 2500)\n",
-    "lbda_list = np.linspace(lbda1, lbda2, 200)\n",
-    "\n",
-    "data = s.evaluate(lbda_list, 0)\n",
+    "# Define periodic stack\n",
+    "# Repeated layers: 8.5 periods: Parameters (Substructure, repetitions, number of layers before, number of layers after the stack)\n",
+    "layerstack = elli.RepeatedLayers([L_TiO2, L_SiO2], 8, 0, 1)\n",
     "\n",
-    "R = data.R\n",
-    "T = data.T"
+    "# Build full structure\n",
+    "s = elli.Structure(air, [layerstack], glass)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Structure Graph\n",
-    "Schema of the variation of the refractive index in z-direction.\n",
-    "\n"
+    "## Structure Graph: Visualization of the refractive index profile in z-direction."
    ]
   },
   {
@@ -210,11 +194,11 @@
    "metadata": {
     "collapsed": false,
     "execution": {
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-     "iopub.status.busy": "2024-06-28T08:26:12.516081Z",
-     "iopub.status.idle": "2024-06-28T08:26:12.572254Z",
-     "shell.execute_reply": "2024-06-28T08:26:12.571599Z",
-     "shell.execute_reply.started": "2024-06-28T08:26:12.516256Z"
+     "iopub.execute_input": "2025-09-23T21:09:23.277163Z",
+     "iopub.status.busy": "2025-09-23T21:09:23.276847Z",
+     "iopub.status.idle": "2025-09-23T21:09:23.411777Z",
+     "shell.execute_reply": "2025-09-23T21:09:23.411488Z",
+     "shell.execute_reply.started": "2025-09-23T21:09:23.277149Z"
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     "jupyter": {
      "outputs_hidden": false
@@ -233,7 +217,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 800x300 with 1 Axes>"
       ]
@@ -250,8 +234,9 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Reflection and Transmission Graph\n",
-    "\n"
+    "## Optical calculation\n",
+    "\n",
+    "Calculation of the reflection and transmission of the structure at normal incidence (0°)."
    ]
   },
   {
@@ -260,11 +245,47 @@
    "metadata": {
     "collapsed": false,
     "execution": {
-     "iopub.execute_input": "2024-06-28T08:26:12.573011Z",
-     "iopub.status.busy": "2024-06-28T08:26:12.572839Z",
-     "iopub.status.idle": "2024-06-28T08:26:12.775363Z",
-     "shell.execute_reply": "2024-06-28T08:26:12.774854Z",
-     "shell.execute_reply.started": "2024-06-28T08:26:12.572992Z"
+     "iopub.execute_input": "2025-09-23T21:09:23.412183Z",
+     "iopub.status.busy": "2025-09-23T21:09:23.412082Z",
+     "iopub.status.idle": "2025-09-23T21:09:23.473885Z",
+     "shell.execute_reply": "2025-09-23T21:09:23.473543Z",
+     "shell.execute_reply.started": "2025-09-23T21:09:23.412173Z"
+    },
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [],
+   "source": [
+    "(lbda1, lbda2) = (1100, 2500)\n",
+    "lbda_list = np.linspace(lbda1, lbda2, 200)\n",
+    "\n",
+    "data = s.evaluate(lbda_list, 0)\n",
+    "\n",
+    "R = data.R\n",
+    "T = data.T"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Plot Reflection and Transmission data\n",
+    "\n",
+    "The plot shows the high reflection in the stopband region around the design wavelength and the interference patterns around it."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {
+    "collapsed": false,
+    "execution": {
+     "iopub.execute_input": "2025-09-23T21:09:23.474491Z",
+     "iopub.status.busy": "2025-09-23T21:09:23.474268Z",
+     "iopub.status.idle": "2025-09-23T21:09:23.687148Z",
+     "shell.execute_reply": "2025-09-23T21:09:23.686801Z",
+     "shell.execute_reply.started": "2025-09-23T21:09:23.474479Z"
     },
     "jupyter": {
      "outputs_hidden": false
@@ -273,7 +294,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -311,7 +332,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.3"
+   "version": "3.13.7"
   }
  },
  "nbformat": 4,
diff --git a/examples/Bragg-mirror/validation-Bragg.ipynb b/examples/Bragg-mirror/validation-Bragg.ipynb
index e54eb464..63b7e6f1 100644
--- a/examples/Bragg-mirror/validation-Bragg.ipynb
+++ b/examples/Bragg-mirror/validation-Bragg.ipynb
@@ -7,7 +7,11 @@
    "source": [
     "# Validation for a TiO2/SiO2 Bragg mirror\n",
     "\n",
-    "Author: O. Castany, C. Molinaro, M. Müller"
+    "Author: O. Castany, C. Molinaro, M. Müller\n",
+    "\n",
+    "This notebook validates the optical response of a 1D Bragg mirror composed of alternating layers of TiO₂ and SiO₂ using:\n",
+    "- An analytical model based on Fresnel coefficients and transfer matrix recursion.\n",
+    "- Numerical simulation with the pyElli package."
    ]
   },
   {
@@ -16,11 +20,11 @@
    "id": "1813cc69",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-06-28T08:27:40.789029Z",
-     "iopub.status.busy": "2024-06-28T08:27:40.788906Z",
-     "iopub.status.idle": "2024-06-28T08:27:42.202751Z",
-     "shell.execute_reply": "2024-06-28T08:27:42.202220Z",
-     "shell.execute_reply.started": "2024-06-28T08:27:40.789018Z"
+     "iopub.execute_input": "2025-10-14T20:03:28.723691Z",
+     "iopub.status.busy": "2025-10-14T20:03:28.723523Z",
+     "iopub.status.idle": "2025-10-14T20:03:30.327705Z",
+     "shell.execute_reply": "2025-10-14T20:03:30.327355Z",
+     "shell.execute_reply.started": "2025-10-14T20:03:28.723678Z"
     }
    },
    "outputs": [],
@@ -48,17 +52,18 @@
    "id": "c46da69e",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-06-28T08:27:42.203348Z",
-     "iopub.status.busy": "2024-06-28T08:27:42.203170Z",
-     "iopub.status.idle": "2024-06-28T08:27:42.206205Z",
-     "shell.execute_reply": "2024-06-28T08:27:42.205745Z",
-     "shell.execute_reply.started": "2024-06-28T08:27:42.203339Z"
+     "iopub.execute_input": "2025-10-14T20:03:30.328363Z",
+     "iopub.status.busy": "2025-10-14T20:03:30.328110Z",
+     "iopub.status.idle": "2025-10-14T20:03:30.331028Z",
+     "shell.execute_reply": "2025-10-14T20:03:30.330690Z",
+     "shell.execute_reply.started": "2025-10-14T20:03:30.328349Z"
     }
    },
    "outputs": [],
    "source": [
-    "n_a = 1.0\n",
-    "n_g = 1.5\n",
+    "n_a = 1.0   # Refractive index of air (ambient)\n",
+    "n_g = 1.5   # Refractive index of glass (substrate)\n",
+    "\n",
     "air = elli.ConstantRefractiveIndex(n_a).get_mat()\n",
     "glass = elli.ConstantRefractiveIndex(n_g).get_mat()"
    ]
@@ -77,17 +82,19 @@
    "id": "88d0dce7",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-06-28T08:27:42.206788Z",
-     "iopub.status.busy": "2024-06-28T08:27:42.206672Z",
-     "iopub.status.idle": "2024-06-28T08:27:42.210747Z",
-     "shell.execute_reply": "2024-06-28T08:27:42.210353Z",
-     "shell.execute_reply.started": "2024-06-28T08:27:42.206778Z"
+     "iopub.execute_input": "2025-10-14T20:03:30.331456Z",
+     "iopub.status.busy": "2025-10-14T20:03:30.331345Z",
+     "iopub.status.idle": "2025-10-14T20:03:30.337572Z",
+     "shell.execute_reply": "2025-10-14T20:03:30.337127Z",
+     "shell.execute_reply.started": "2025-10-14T20:03:30.331445Z"
     }
    },
    "outputs": [],
    "source": [
-    "lbda0 = 1550  # nm\n",
+    "lbda0 = 1550  # Central wavelength in nm\n",
     "k0 = 2 * pi / lbda0\n",
+    "\n",
+    "# Approximate refractive indices at 1550 nm\n",
     "n_SiO2 = 1.47\n",
     "n_TiO2 = 2.23 + 1j * 5.2e-4\n",
     "\n",
@@ -109,31 +116,30 @@
    "id": "d00ef39c",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-06-28T08:27:42.211427Z",
-     "iopub.status.busy": "2024-06-28T08:27:42.211265Z",
-     "iopub.status.idle": "2024-06-28T08:27:42.215951Z",
-     "shell.execute_reply": "2024-06-28T08:27:42.215550Z",
-     "shell.execute_reply.started": "2024-06-28T08:27:42.211413Z"
+     "iopub.execute_input": "2025-10-14T20:03:30.338195Z",
+     "iopub.status.busy": "2025-10-14T20:03:30.338061Z",
+     "iopub.status.idle": "2025-10-14T20:03:30.341185Z",
+     "shell.execute_reply": "2025-10-14T20:03:30.340716Z",
+     "shell.execute_reply.started": "2025-10-14T20:03:30.338182Z"
     }
    },
    "outputs": [],
    "source": [
+    "# Compute quarter-wave optical thicknesses\n",
     "d_SiO2 = elli.get_qwp_thickness(SiO2, lbda0)\n",
     "d_TiO2 = elli.get_qwp_thickness(TiO2, lbda0)\n",
     "\n",
+    "# Build individual layers\n",
     "L_SiO2 = elli.Layer(SiO2, d_SiO2)\n",
     "L_TiO2 = elli.Layer(TiO2, d_TiO2)\n",
     "\n",
-    "# print(\"Thickness of the SiO2 QWP: {:.1f} nm\".format(L_SiO2.h*1e9))\n",
-    "# print(\"Thickness of the TiO2 QWP: {:.1f} nm\".format(L_TiO2.h*1e9))\n",
-    "\n",
-    "# Repeated layers: n periods\n",
+    "# Stack definition: TiO2/SiO2 repeated 4 times\n",
     "Layerstack = elli.RepeatedLayers([L_TiO2, L_SiO2], 4, 0, 0)\n",
     "\n",
-    "# Number of interfaces\n",
+    "# Total number of interfaces\n",
     "N = 2 * Layerstack.repetitions + 1\n",
     "\n",
-    "# Structure\n",
+    "# Complete structure: Air / {TiO2 / SiO2}ⁿ / Glass\n",
     "s = elli.Structure(air, [Layerstack], glass)"
    ]
   },
@@ -144,7 +150,9 @@
     "lines_to_next_cell": 0
    },
    "source": [
-    "## Analytical calculation"
+    "## Analytical calculation\n",
+    "\n",
+    "This section implements a recursive transfer matrix method to calculate the amplitude reflection coefficient using Fresnel coefficients."
    ]
   },
   {
@@ -153,35 +161,36 @@
    "id": "908c30b3",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-06-28T08:27:42.216515Z",
-     "iopub.status.busy": "2024-06-28T08:27:42.216409Z",
-     "iopub.status.idle": "2024-06-28T08:27:42.231412Z",
-     "shell.execute_reply": "2024-06-28T08:27:42.230879Z",
-     "shell.execute_reply.started": "2024-06-28T08:27:42.216506Z"
+     "iopub.execute_input": "2025-10-14T20:03:30.341906Z",
+     "iopub.status.busy": "2025-10-14T20:03:30.341682Z",
+     "iopub.status.idle": "2025-10-14T20:03:30.360713Z",
+     "shell.execute_reply": "2025-10-14T20:03:30.360361Z",
+     "shell.execute_reply.started": "2025-10-14T20:03:30.341893Z"
     }
    },
    "outputs": [],
    "source": [
+    "# Define refractive index profile\n",
     "n = np.ones(N + 1, dtype=complex)\n",
     "n[0] = n_a\n",
-    "n[1::2] = n_TiO2\n",
-    "n[2::2] = n_SiO2\n",
+    "n[1::2] = n_TiO2  # TiO2 layers at odd positions\n",
+    "n[2::2] = n_SiO2  # SiO2 layers at even positions\n",
     "n[-1] = n_g\n",
-    "\n",
     "n.shape = (-1, 1)\n",
     "\n",
+    "# Define thickness profile (same order as n, d[0] unused)\n",
     "d = np.ones(N + 1)\n",
-    "d[1::2] = L_TiO2.thickness  #  d[0] is not used\n",
+    "d[1::2] = L_TiO2.thickness\n",
     "d[2::2] = L_SiO2.thickness\n",
     "\n",
-    "(lbda1, lbda2) = (1100, 2500)\n",
+    "# Wavelength range\n",
+    "(lbda1, lbda2) = (1100, 2500)  # in nm\n",
     "lbda_list = np.linspace(lbda1, lbda2, 200)\n",
     "\n",
     "\n",
     "def ReflectionCoeff(incidence_angle=0.0, polarisation=\"s\"):\n",
-    "    \"\"\"Returns the reflection coefficient in amplitude\"\"\"\n",
+    "    \"\"\"Compute the amplitude reflection coefficient at a given angle and polarization.\"\"\"\n",
     "    Kx = n[0] * np.sin(incidence_angle)\n",
-    "    sinPhi = Kx / n\n",
     "    kz = 2 * pi / lbda_list * np.sqrt(n**2 - (Kx) ** 2)\n",
     "\n",
     "    # Reflexion coefficient r_{k,k+1} for a single interface\n",
@@ -216,9 +225,9 @@
     "\n",
     "\n",
     "# Power reflexion coefficient for different incidence angles and polarisations\n",
-    "R_th_ss_0 = (np.abs(ReflectionCoeff(0, \"s\"))) ** 2  # Phi_i = 0\n",
-    "R_th_ss = (np.abs(ReflectionCoeff(pi / 4, \"s\"))) ** 2  #  Phi_i = pi/4\n",
-    "R_th_pp = (np.abs(ReflectionCoeff(pi / 4, \"p\"))) ** 2"
+    "R_th_ss_0 = (np.abs(ReflectionCoeff(0, \"s\"))) ** 2      # Normal incidence, s-pol\n",
+    "R_th_ss = (np.abs(ReflectionCoeff(pi / 4, \"s\"))) ** 2   # 45° incidence, s-pol\n",
+    "R_th_pp = (np.abs(ReflectionCoeff(pi / 4, \"p\"))) ** 2   # 45° incidence, p-pol"
    ]
   },
   {
@@ -228,7 +237,11 @@
     "lines_to_next_cell": 0
    },
    "source": [
-    "## Calculation with pyElli"
+    "## Calculation with pyElli\n",
+    "\n",
+    "- Uses pyElli.Structure.evaluate() to simulate the multilayer response numerically,\n",
+    "- Returns the reflectance (R_ss, R_pp) at the desired wavelengths and angles,\n",
+    "- Automatically accounts for multiple reflections and complex indices."
    ]
   },
   {
@@ -237,11 +250,11 @@
    "id": "ead81627",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-06-28T08:27:42.232401Z",
-     "iopub.status.busy": "2024-06-28T08:27:42.232285Z",
-     "iopub.status.idle": "2024-06-28T08:27:42.246823Z",
-     "shell.execute_reply": "2024-06-28T08:27:42.246497Z",
-     "shell.execute_reply.started": "2024-06-28T08:27:42.232391Z"
+     "iopub.execute_input": "2025-10-14T20:03:30.361721Z",
+     "iopub.status.busy": "2025-10-14T20:03:30.361592Z",
+     "iopub.status.idle": "2025-10-14T20:03:30.378066Z",
+     "shell.execute_reply": "2025-10-14T20:03:30.377605Z",
+     "shell.execute_reply.started": "2025-10-14T20:03:30.361709Z"
     }
    },
    "outputs": [],
@@ -265,7 +278,12 @@
     "lines_to_next_cell": 0
    },
    "source": [
-    "## Plotting"
+    "## Plotting\n",
+    "\n",
+    "Plots both analytical and numerical reflectance spectra:\n",
+    " - Lines: pyElli numerical results,\n",
+    " - Markers (×): theoretical recursive results,\n",
+    " - Uses elliplot.draw_structure() to illustrate the layer stack alongside the spectra."
    ]
   },
   {
@@ -274,17 +292,17 @@
    "id": "b0e5b5ec",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-06-28T08:27:42.247527Z",
-     "iopub.status.busy": "2024-06-28T08:27:42.247357Z",
-     "iopub.status.idle": "2024-06-28T08:27:42.501253Z",
-     "shell.execute_reply": "2024-06-28T08:27:42.500833Z",
-     "shell.execute_reply.started": "2024-06-28T08:27:42.247516Z"
+     "iopub.execute_input": "2025-10-14T20:03:30.378661Z",
+     "iopub.status.busy": "2025-10-14T20:03:30.378518Z",
+     "iopub.status.idle": "2025-10-14T20:03:30.776874Z",
+     "shell.execute_reply": "2025-10-14T20:03:30.776531Z",
+     "shell.execute_reply.started": "2025-10-14T20:03:30.378646Z"
     }
    },
    "outputs": [
     {
      "data": {
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",
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",
       "text/plain": [
        "<Figure size 1200x600 with 1 Axes>"
       ]
@@ -294,7 +312,7 @@
     },
     {
      "data": {
-      "image/png": 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ERMjhcFhdxilhfI+PsQ1twTq+jO2JBevY+lsg8hrLIRAyHA5H0AV3tBzjG7oY29DF2KItYzkEAAAAbIcQDAAAANshBAMAAMB2CMEAAACwHUIwAAAAbMfSEFxSUqKsrCwlJCTI4XBo9erVLe777rvvqkOHDho8eLBfawQAAEDosTQEezweJSUlacGCBSfVb//+/crOztall17qt9oAAAAQuix9TnBmZqYyMzNPut/kyZN13XXXqX379id19xgAAACQ1XeCT8Vzzz2nHTt2aNasWS1q39jYKLfb7bMBAADA3oIqBH/22Wf6/e9/r7///e/q0KFlN7Hz8vLkcrm8W+/evf1eJwAAANq2oAnBR44c0XXXXac5c+borLPOanG/3Nxc1dbWerddu3b5tU4AAAC0fZauCT4ZdXV1Kisr06ZNmzRlyhRJUlNTk4wx6tChg/71r3/pkksuOaqf0+mU0+m0oGIAAAC0VUETgqOiovTxxx/77Hvqqae0fv16vfzyy0pMTLSsNgAAAAQXS0NwfX29tm/f7n1dWVmp8vJydevWTX369FFubq6++uorLVmyRO3atdPAgQN9+sfExCgsLOyo/QAAAMDxWBqCy8rKNHr0aO/r6dOnS5ImTpyo/Px8VVdXq6qqysIKAQAAEIocxhhjdRGB5Ha75XK5VFtbq6ioKKvLaVM8Ho86d+4sfX+XPjIy0uqSAACADQUirwXN0yEAAACA1kIIBgAAgO0QggEAAGA7hGAAAADYDiEYAAAAtkMIBgAAgO0QggEAAGA7hGAAAADYDiEYAAAAtkMIBgAAgO0QggEAAGA7hGAAAADYDiEYAAAAtkMIBgAAgO0QggEAAGA7hGAAAADYDiEYAAAAtkMIBgAAgO0QggEAAGA7hGAAAADYDiEYAAAAtkMIBgAAgO1YGoJLSkqUlZWlhIQEORwOrV69+rjtX331VV122WU67bTTFBUVpZSUFK1bty5g9QIAACA0WBqCPR6PkpKStGDBgha1Lykp0WWXXaY33nhDGzdu1OjRo5WVlaVNmzb5vVYAAACEDocxxlhdhCQ5HA6tWrVK48aNO6l+5513nsaPH6+ZM2e2qL3b7ZbL5VJtba2ioqJOsdrQ5PF41LlzZ0lSfX29IiMjrS4JAADYUCDyWge/vGuANDU1qa6uTt26dWu2TWNjoxobG72v3W53gKoDAABAWxXUX4x79NFHVV9fr6uvvrrZNnl5eXK5XN6td+/eAa0RAAAAbU/QhuClS5dqzpw5WrFihWJiYpptl5ubq9raWu+2a9eugNYJAACAticol0MsX75ct9xyi1auXKm0tLTjtnU6nXI6nQGrDQAAAG1f0N0JXrZsmW688UYtW7ZMY8eOtbocAAAABCFL7wTX19dr+/bt3teVlZUqLy9Xt27d1KdPH+Xm5uqrr77SkiVLpO+XQEycOFGPP/64hg0bppqaGklSeHi4XC6XZdcBAACA4GLpneCysjIlJycrOTlZkjR9+nQlJyd7H3dWXV2tqqoqb/vFixfr8OHDysnJUXx8vHe78847LbsGAAAABJ8285zgQOE5wc3jOcEAAKAtCEReC7o1wQAAAMBPRQgGAACA7RCCAQAAYDuEYAAAANgOIRgAAAC2QwgGAACA7RCCAQAAYDuEYAAAANgOIRgAAAC2QwgGAACA7RCCAQAAYDuEYAAAANgOIRgAAAC2QwgGAACA7RCCAQAAYDuEYAAAANgOIRgAAAC2QwgGAACA7RCCAQAAYDuEYAAAANgOIRgAAAC2QwgGAACA7VgagktKSpSVlaWEhAQ5HA6tXr36hH2Kiop0wQUXyOl06swzz1R+fn5AagUAAEDosDQEezweJSUlacGCBS1qX1lZqbFjx2r06NEqLy/XtGnTdMstt2jdunV+rxUAAACho4OVJ8/MzFRmZmaL2y9atEiJiYl67LHHJEnnnHOONmzYoD//+c/KyMg4qXN7PB61b9/+pGsOZR6Px+oSAAAAAsLSEHyySktLlZaW5rMvIyND06ZNa7ZPY2OjGhsbva9ra2slSQkJCX6sNPi53W4dOXLE6jIAAIANud1uSZIxxm/nCKoQXFNTo9jYWJ99sbGxcrvdOnDggMLDw4/qk5eXpzlz5gSwytDA/yQAAACr1dXVyeVy+eW9gyoEn4rc3FxNnz7d+7qpqUn79u1T9+7d5XA4LK2tLXK73erdu7d27dqlqKgoq8tBG8P8wIkwR3A8zA8cz4/nR5cuXVRXV+fXm3JBFYLj4uK0e/dun327d+9WVFTUMe8CS5LT6ZTT6fTZFx0d7dc6Q0FUVBS/oNAs5gdOhDmC42F+4Hh+mB/+ugP8g6B6TnBKSooKCwt99hUUFCglJcWymgAAABB8LA3B9fX1Ki8vV3l5ufT9I9DKy8tVVVUlfb+UITs729t+8uTJ2rFjh+655x59+umneuqpp7RixQrdddddll0DAAAAgo+lIbisrEzJyclKTk6WJE2fPl3JycmaOXOmJKm6utobiCUpMTFRr7/+ugoKCpSUlKTHHntMzz777Ek/Hg3NczqdmjVr1lFLSAAxP9ACzBEcD/MDxxPo+eEw/nz2BAAAANAGBdWaYAAAAKA1EIIBAABgO4RgAAAA2A4hGAAAALZDCIbXggUL1K9fP4WFhWnYsGH68MMPrS4JATB79mw5HA6f7eyzz/Ye/+6775STk6Pu3burc+fO+vWvf33UH62pqqrS2LFjFRERoZiYGM2YMUOHDx+24GrQGkpKSpSVlaWEhAQ5HA6tXr3a57gxRjNnzlR8fLzCw8OVlpamzz77zKfNvn37NGHCBEVFRSk6Olo333yz6uvrfdps3rxZI0aMUFhYmHr37q2HH344INeHn+ZE8+OGG2446nfKmDFjfNowP0JXXl6eLrroInXp0kUxMTEaN26ctm3b5tOmtT5XioqKdMEFF8jpdOrMM89Ufn7+SdVKCIYk6aWXXtL06dM1a9YsffTRR0pKSlJGRob27NljdWkIgPPOO0/V1dXebcOGDd5jd911l/75z39q5cqVKi4u1tdff60rr7zSe/zIkSMaO3asDh48qPfee0/PP/+88vPzvY86RPDxeDxKSkrSggULjnn84Ycf1hNPPKFFixbpgw8+UGRkpDIyMvTdd99520yYMEFbtmxRQUGB1qxZo5KSEt16663e4263W+np6erbt682btyoRx55RLNnz9bixYsDco04dSeaH5I0ZswYn98py5Yt8znO/AhdxcXFysnJ0fvvv6+CggIdOnRI6enp8ng83jat8blSWVmpsWPHavTo0SovL9e0adN0yy23aN26dS0v1gDGmKFDh5qcnBzv6yNHjpiEhASTl5dnaV3wv1mzZpmkpKRjHtu/f7/p2LGjWblypXffJ598YiSZ0tJSY4wxb7zxhmnXrp2pqanxtlm4cKGJiooyjY2NAbgC+JMks2rVKu/rpqYmExcXZx555BHvvv379xun02mWLVtmjDFm69atRpL597//7W3z5ptvGofDYb766itjjDFPPfWU6dq1q88cuffee82AAQMCdGVoDf87P4wxZuLEieaKK65otg/zw1727NljJJni4mJjWvFz5Z577jHnnXeez7nGjx9vMjIyWlwbd4KhgwcPauPGjUpLS/Pua9eundLS0lRaWmppbQiMzz77TAkJCTr99NM1YcIE7x+p2bhxow4dOuQzN84++2z16dPHOzdKS0t1/vnnKzY21tsmIyNDbrdbW7ZsseBq4E+VlZWqqanxmRMul0vDhg3zmRPR0dEaMmSIt01aWpratWunDz74wNtm5MiR6tSpk7dNRkaGtm3bpm+//Tag14TWV1RUpJiYGA0YMEC33Xab9u7d6z3G/LCX2tpaSVK3bt2kVvxcKS0t9XmPH9qcTG4hBEPffPONjhw54jPZJCk2NlY1NTWW1YXAGDZsmPLz87V27VotXLhQlZWVGjFihOrq6lRTU6NOnTopOjrap8+P50ZNTc0x584PxxBafhjT4/2+qKmpUUxMjM/xDh06qFu3bswbGxgzZoyWLFmiwsJCzZs3T8XFxcrMzNSRI0ck5oetNDU1adq0aUpNTdXAgQOl78evNT5Xmmvjdrt14MCBFtXX4SdcG4AQkJmZ6f33oEGDNGzYMPXt21crVqxQeHi4pbUBCD7XXHON99/nn3++Bg0apDPOOENFRUW69NJLLa0NgZWTk6OKigqf75m0JdwJhnr06KH27dsf9c3M3bt3Ky4uzrK6YI3o6GidddZZ2r59u+Li4nTw4EHt37/fp82P50ZcXNwx584PxxBafhjT4/2+iIuLO+pLtYcPH9a+ffuYNzZ0+umnq0ePHtq+fbvE/LCNKVOmaM2aNXr77bfVq1cv7/7W+lxprk1UVFSLb+AQgqFOnTrpwgsvVGFhoXdfU1OTCgsLlZKSYmltCLz6+np9/vnnio+P14UXXqiOHTv6zI1t27apqqrKOzdSUlL08ccf+3yoFRQUKCoqSueee64l1wD/SUxMVFxcnM+ccLvd+uCDD3zmxP79+7Vx40Zvm/Xr16upqUnDhg3ztikpKdGhQ4e8bQoKCjRgwAB17do1oNcE//ryyy+1d+9excfHS8yPkGeM0ZQpU7Rq1SqtX79eiYmJPsdb63MlJSXF5z1+aHNSueUnf+0PIWH58uXG6XSa/Px8s3XrVnPrrbea6Ohon29mIjTdfffdpqioyFRWVpp3333XpKWlmR49epg9e/YYY4yZPHmy6dOnj1m/fr0pKyszKSkpJiUlxdv/8OHDZuDAgSY9Pd2Ul5ebtWvXmtNOO83k5uZaeFX4Kerq6symTZvMpk2bjCQzf/58s2nTJvPFF18YY4yZO3euiY6ONq+99prZvHmzueKKK0xiYqI5cOCA9z3GjBljkpOTzQcffGA2bNhg+vfvb6699lrv8f3795vY2Fhz/fXXm4qKCrN8+XITERFhnn76aUuuGS13vPlRV1dnfve735nS0lJTWVlp3nrrLXPBBReY/v37m++++877HsyP0HXbbbcZl8tlioqKTHV1tXdraGjwtmmNz5UdO3aYiIgIM2PGDPPJJ5+YBQsWmPbt25u1a9e2uFZCMLz+8pe/mD59+phOnTqZoUOHmvfff9/qkhAA48ePN/Hx8aZTp06mZ8+eZvz48Wb79u3e4wcOHDC333676dq1q4mIiDC/+tWvTHV1tc977Ny502RmZprw8HDTo0cPc/fdd5tDhw5ZcDVoDW+//baRdNQ2ceJEY75/TNr//d//mdjYWON0Os2ll15qtm3b5vMee/fuNddee63p3LmziYqKMjfeeKOpq6vzafOf//zHXHzxxcbpdJqePXuauXPnBvQ6cWqONz8aGhpMenq6Oe2000zHjh1N3759zaRJk466ocL8CF3HmhuSzHPPPedt01qfK2+//bYZPHiw6dSpkzn99NN9ztESju8LBgAAAGyDNcEAAACwHUIwAAAAbIcQDAAAANshBAMAAMB2CMEAAACwHUIwAAAAbIcQDAAAANshBAMAAMB2CMEAEAQKCwt1zjnn6MiRI349z9atW9WrVy95PB6/ngcArEYIBoAgcM899+gPf/iD2rdv79fznHvuufrZz36m+fPn+/U8AGA1/mwyALRxGzZs0C9+8QvV1NQoLCzM7+d7/fXXNWnSJFVVValDhw5+Px8AWIE7wQAQQDt37pTD4ThqGzVqVLN9li9frssuu8wnAM+ePVuDBw/WCy+8oH79+snlcumaa65RXV2dt82oUaM0depUTZs2TV27dlVsbKyeeeYZeTwe3XjjjerSpYvOPPNMvfnmmz7nu+yyy7Rv3z4VFxf76acAANYjBANAAPXu3VvV1dXebdOmTerevbtGjhzZbJ933nlHQ4YMOWr/559/rtWrV2vNmjVas2aNiouLNXfuXJ82zz//vHr06KEPP/xQU6dO1W233aarrrpKw4cP10cffaT09HRdf/31amho8Pbp1KmTBg8erHfeeaeVrx4A2g5CMAAEUPv27RUXF6e4uDhFR0dr8uTJSklJ0ezZs5vt88UXXyghIeGo/U1NTcrPz9fAgQM1YsQIXX/99SosLPRpk5SUpD/84Q/q37+/cnNzFRYWph49emjSpEnq37+/Zs6cqb1792rz5s0+/RISEvTFF1+04pUDQNvCYi8AsMhNN92kuro6FRQUqF275u9JHDhw4Jhrgfv166cuXbp4X8fHx2vPnj0+bQYNGuT9d/v27dW9e3edf/753n2xsbGSdFS/8PBwn7vDABBqCMEAYIGHHnpI69at04cffugTZI+lR48e+vbbb4/a37FjR5/XDodDTU1NJ2zz430Oh0P6/q7yj+3bt09nnHHGSVwRAAQXlkMAQIC98soreuCBB7RixYoWBc3k5GRt3bo1ILX9oKKiQsnJyQE9JwAEEiEYAAKooqJC2dnZuvfee3XeeeeppqZGNTU12rdvX7N9MjIytGHDhoDVuHPnTn311VdKS0sL2DkBINAIwQAQQGVlZWpoaNBDDz2k+Ph473bllVc222fChAnasmWLtm3bFpAaly1bpvT0dPXt2zcg5wMAK/DHMgAgCMyYMUNut1tPP/20X89z8OBB9e/fX0uXLlVqaqpfzwUAVuJOMAAEgfvvv199+/Y96gtsra2qqkr33XcfARhAyONOMAAAAGyHO8EAAACwHUIwAAAAbIcQDAAAANshBAMAAMB2CMEAAACwHUIwAAAAbIcQDAAAANshBAMAAMB2CMEAAACwnf8Hhlky+ZLYYWMAAAAASUVORK5CYII=",
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",
       "text/plain": [
        "<Figure size 800x300 with 1 Axes>"
       ]
@@ -369,7 +387,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.3"
+   "version": "3.13.7"
   },
   "widgets": {
    "application/vnd.jupyter.widget-state+json": {
diff --git a/examples/Custom fitting/Custom fitting example.ipynb b/examples/Custom fitting/Custom fitting example.ipynb
index 6aaf574b..a9a47481 100644
--- a/examples/Custom fitting/Custom fitting example.ipynb	
+++ b/examples/Custom fitting/Custom fitting example.ipynb	
@@ -16,7 +16,15 @@
    "cell_type": "code",
    "execution_count": 1,
    "id": "2094a05c-198a-475e-83f0-3d2b73fc3b1b",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-10-14T21:34:36.488682Z",
+     "iopub.status.busy": "2025-10-14T21:34:36.488452Z",
+     "iopub.status.idle": "2025-10-14T21:34:38.109517Z",
+     "shell.execute_reply": "2025-10-14T21:34:38.109206Z",
+     "shell.execute_reply.started": "2025-10-14T21:34:36.488667Z"
+    }
+   },
    "outputs": [],
    "source": [
     "import numpy as np\n",
@@ -31,14 +39,24 @@
    "id": "cb2986be",
    "metadata": {},
    "source": [
-    "## Data import"
+    "## Data import\n",
+    "\n",
+    "Read Ψ (psi) and Δ (delta) ellipsometric spectra for different angles from a NeXus file, limited to a wavelength range of 210–800 nm, to be compatible with a tabulated Silicon dispersion."
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 2,
    "id": "efb38395-95d5-4f4a-9330-10a76b3a47fc",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-10-14T21:34:38.110013Z",
+     "iopub.status.busy": "2025-10-14T21:34:38.109824Z",
+     "iopub.status.idle": "2025-10-14T21:34:38.126998Z",
+     "shell.execute_reply": "2025-10-14T21:34:38.126703Z",
+     "shell.execute_reply.started": "2025-10-14T21:34:38.110001Z"
+    }
+   },
    "outputs": [
     {
      "data": {
@@ -170,14 +188,24 @@
    "id": "6cc460c2",
    "metadata": {},
    "source": [
-    "## Setting up invariant materials and fitting parameters"
+    "## Setting up invariant materials and fitting parameters\n",
+    "\n",
+    "Set up the optical constants for the substrate from RII and define initial fit parameters for the Cauchy SiO₂ layer."
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 3,
    "id": "7e74cd9c-a0c1-48a6-9773-9c8254521dda",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-10-14T21:34:38.127438Z",
+     "iopub.status.busy": "2025-10-14T21:34:38.127326Z",
+     "iopub.status.idle": "2025-10-14T21:34:38.736548Z",
+     "shell.execute_reply": "2025-10-14T21:34:38.736248Z",
+     "shell.execute_reply.started": "2025-10-14T21:34:38.127428Z"
+    }
+   },
    "outputs": [],
    "source": [
     "rii_db = elli.db.RII()\n",
@@ -200,14 +228,22 @@
    "source": [
     "## Model helper function\n",
     "\n",
-    "This model function is not strictly needed, but simplifies the fit function, as the model only needs to be defined once."
+    "This model helper function is not strictly needed, but simplifies the fit function, as the model only needs to be defined once."
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 4,
    "id": "5deba07e-aab1-4bb5-b9a1-9a2087a0e80a",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-10-14T21:34:38.737000Z",
+     "iopub.status.busy": "2025-10-14T21:34:38.736885Z",
+     "iopub.status.idle": "2025-10-14T21:34:38.739507Z",
+     "shell.execute_reply": "2025-10-14T21:34:38.739110Z",
+     "shell.execute_reply.started": "2025-10-14T21:34:38.736990Z"
+    }
+   },
    "outputs": [],
    "source": [
     "def model(lbda, angle, params):\n",
@@ -237,14 +273,22 @@
     "## Defining the fit function\n",
     "\n",
     "The fit function follows the protocol defined by the lmfit package and needs the parameters dictionary as first argument.\n",
-    "It has to return a residual value, which will be minimized. Here psi and delta are used to calculate the residual, but could be changed to transmission or reflection data."
+    "It has to return a residual value, which will be minimized. Here psi and delta are used across all angles to calculate the residual, but could be changed to any other measured quantity like transmission or reflection data."
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 5,
    "id": "3fec16e0-f069-413a-8ae4-6796319a264e",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-10-14T21:34:38.739887Z",
+     "iopub.status.busy": "2025-10-14T21:34:38.739792Z",
+     "iopub.status.idle": "2025-10-14T21:34:38.745107Z",
+     "shell.execute_reply": "2025-10-14T21:34:38.744773Z",
+     "shell.execute_reply.started": "2025-10-14T21:34:38.739878Z"
+    }
+   },
    "outputs": [],
    "source": [
     "def fit_function(params, lbda, data):\n",
@@ -270,14 +314,23 @@
     "## Running the fit\n",
     "\n",
     "The fitting is performed by calling the minimize function with the fit_function and the needed arguments. \n",
-    "It is possible to change the underlying algorithm by providing the method kwarg."
+    "It is possible to change the underlying algorithm by providing the method kwarg.\n",
+    "The fit_report function provides fitted values, uncertainties, and goodness-of-fit statistics."
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 6,
    "id": "78dd21c3-4423-4bb3-b3d7-33862573bc2b",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-10-14T21:34:38.746078Z",
+     "iopub.status.busy": "2025-10-14T21:34:38.745973Z",
+     "iopub.status.idle": "2025-10-14T21:34:39.318713Z",
+     "shell.execute_reply": "2025-10-14T21:34:39.318340Z",
+     "shell.execute_reply.started": "2025-10-14T21:34:38.746069Z"
+    }
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -294,7 +347,7 @@
       "    Bayesian info crit = -11012.6572\n",
       "[[Variables]]\n",
       "    SiO2_n0:  1.63549687 +/- 0.03012997 (1.84%) (init = 1.452)\n",
-      "    SiO2_n1:  27.6408772 +/- 8.75248284 (31.66%) (init = 36)\n",
+      "    SiO2_n1:  27.6408772 +/- 8.75248306 (31.66%) (init = 36)\n",
       "    SiO2_n2:  0 (fixed)\n",
       "    SiO2_k0:  0 (fixed)\n",
       "    SiO2_k1:  0 (fixed)\n",
@@ -305,6 +358,14 @@
       "    C(SiO2_n0, SiO2_n1) = -0.9596\n",
       "    C(SiO2_n1, SiO2_d)  = +0.9259\n"
      ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/marius/.venv/pyelli/lib/python3.13/site-packages/uncertainties/core.py:1024: UserWarning: Using UFloat objects with std_dev==0 may give unexpected results.\n",
+      "  warn(\"Using UFloat objects with std_dev==0 may give unexpected results.\")\n"
+     ]
     }
    ],
    "source": [
@@ -317,18 +378,28 @@
    "id": "67bf8ce3",
    "metadata": {},
    "source": [
-    "##  Plotting the results"
+    "##  Plotting the results\n",
+    "\n",
+    "The measurent results are displayed as scatter plot and the PyElli results are overlayed as solid lines."
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 7,
    "id": "826831fb-875b-4551-b21d-04bae98ae47d",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-10-14T21:34:39.319178Z",
+     "iopub.status.busy": "2025-10-14T21:34:39.319053Z",
+     "iopub.status.idle": "2025-10-14T21:34:39.542414Z",
+     "shell.execute_reply": "2025-10-14T21:34:39.542101Z",
+     "shell.execute_reply.started": "2025-10-14T21:34:39.319167Z"
+    }
+   },
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -338,7 +409,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -396,7 +467,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.4"
+   "version": "3.13.7"
   }
  },
  "nbformat": 4,
diff --git a/examples/Ellipsometry uniaxial materials/Fujiwara-641.ipynb b/examples/Ellipsometry uniaxial materials/Fujiwara-641.ipynb
index f5f73d39..512bbe30 100644
--- a/examples/Ellipsometry uniaxial materials/Fujiwara-641.ipynb	
+++ b/examples/Ellipsometry uniaxial materials/Fujiwara-641.ipynb	
@@ -9,15 +9,25 @@
     "\n",
     "Author: O. Castany, M. Müller\n",
     "\n",
-    "Verification of the code against results presented in Fujiwara's book 'Spectroscopic Ellipsometry', section 6.4.1\n",
-    "(p. 237). We reproduce figures 6.16 and 6.17."
+    "This notebook reproduces the results from Section 6.4.1 (pages 237–239) of the textbook\n",
+    "Spectroscopic Ellipsometry: Principles and Applications by Hiroyuki Fujiwara.\n",
+    "\n",
+    "We simulate an anisotropic uniaxial material and verify the results against Figures 6.16 and 6.17 of the book."
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 1,
    "id": "2b280f92",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-10-05T23:03:49.470971Z",
+     "iopub.status.busy": "2025-10-05T23:03:49.470753Z",
+     "iopub.status.idle": "2025-10-05T23:03:50.912507Z",
+     "shell.execute_reply": "2025-10-05T23:03:50.912079Z",
+     "shell.execute_reply.started": "2025-10-05T23:03:49.470955Z"
+    }
+   },
    "outputs": [],
    "source": [
     "import numpy as np\n",
@@ -30,14 +40,29 @@
    "id": "27e880b6",
    "metadata": {},
    "source": [
-    "## Setting up the materials"
+    "## Setting up the materials\n",
+    "\n",
+    "We create a uniaxial material with:\n",
+    "\n",
+    "- Ordinary refractive index: no=2.0\n",
+    "- Extraordinary refractive index: ne=2.5\n",
+    "\n",
+    "This material will be used as an anisotropic substrate."
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 2,
    "id": "93f61d3d",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-10-05T23:03:50.913111Z",
+     "iopub.status.busy": "2025-10-05T23:03:50.912903Z",
+     "iopub.status.idle": "2025-10-05T23:03:50.915699Z",
+     "shell.execute_reply": "2025-10-05T23:03:50.915362Z",
+     "shell.execute_reply.started": "2025-10-05T23:03:50.913098Z"
+    }
+   },
    "outputs": [],
    "source": [
     "# Front half-space (air)\n",
@@ -59,25 +84,33 @@
     "lines_to_next_cell": 0
    },
    "source": [
-    "## We reproduce figure 6.16 (p. 238)"
+    "## We reproduce figure 6.16 (p. 238)\n",
+    "\n",
+    "This figure shows how the pp-component of the ellipsometric Ψ angle varies with the angle of incidence, for three different orientations of the optical axis (via Euler angle θ_E)."
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 3,
    "id": "bf2662f4",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-10-05T23:03:50.916194Z",
+     "iopub.status.busy": "2025-10-05T23:03:50.916071Z",
+     "iopub.status.idle": "2025-10-05T23:03:51.489616Z",
+     "shell.execute_reply": "2025-10-05T23:03:51.489184Z",
+     "shell.execute_reply.started": "2025-10-05T23:03:50.916184Z"
+    }
+   },
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 640x480 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -114,25 +147,33 @@
    "id": "835e1b27",
    "metadata": {},
    "source": [
-    "## We reproduce figure 6.17 (p. 239)"
+    "## We reproduce figure 6.17 (p. 239)\n",
+    "\n",
+    "This figure shows how Ψ_pp varies with the azimuthal orientation Φ_E of the optical axis, for different tilt angles θ_E."
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 4,
    "id": "d4eb54d5",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-10-05T23:03:51.490078Z",
+     "iopub.status.busy": "2025-10-05T23:03:51.489973Z",
+     "iopub.status.idle": "2025-10-05T23:03:51.641723Z",
+     "shell.execute_reply": "2025-10-05T23:03:51.641430Z",
+     "shell.execute_reply.started": "2025-10-05T23:03:51.490068Z"
+    }
+   },
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 640x480 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -164,14 +205,6 @@
     "plt.tight_layout()\n",
     "plt.show()"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "19006375-073a-4445-bd13-e1ca5329122e",
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
@@ -198,7 +231,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.1"
+   "version": "3.13.7"
   },
   "widgets": {
    "application/vnd.jupyter.widget-state+json": {
diff --git a/examples/Ellipsometry uniaxial materials/Fujiwara-642.ipynb b/examples/Ellipsometry uniaxial materials/Fujiwara-642.ipynb
index 8fc8087e..6b16ad0e 100644
--- a/examples/Ellipsometry uniaxial materials/Fujiwara-642.ipynb	
+++ b/examples/Ellipsometry uniaxial materials/Fujiwara-642.ipynb	
@@ -8,17 +8,33 @@
     "# We reproduce results from section 6.4.2 in 'Spectroscopic Ellipsometry', by H. Fujiwara\n",
     "Author: O. Castany, M. Müller\n",
     "\n",
-    "Verification of the code against results presented in Fujiwara's book\n",
+    "Verification of the internal functions of the PyElli code against results presented in Fujiwara's book\n",
     "p. 241 (section 6.4.2). References in the comments refer to this book.\n",
     "Expected results are indicated after the commands. They are identical\n",
-    "with Fujiwara's results, except for a sign convention for Erp."
+    "with Fujiwara's results, except for a sign convention for Erp.\n",
+    "\n",
+    "We simulate an air / anisotropic thin film / silicon substrate system and calculate:\n",
+    "- The permittivity tensor of the anisotropic film\n",
+    "- The Delta Matrix and its eigenvalues\n",
+    "- The propagation matrix for the film\n",
+    "- The Jones reflection matrix\n",
+    "- The ellipsometric parameters Ψ and Δ\n",
+    "- Full angular dependences of Ψ_pp, Ψ_ps, Δ_pp, and Δ_ps as shown in Figure 6.19"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 1,
    "id": "c49c1a2a",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-10-05T23:27:42.493323Z",
+     "iopub.status.busy": "2025-10-05T23:27:42.493133Z",
+     "iopub.status.idle": "2025-10-05T23:27:43.855367Z",
+     "shell.execute_reply": "2025-10-05T23:27:43.855052Z",
+     "shell.execute_reply.started": "2025-10-05T23:27:42.493309Z"
+    }
+   },
    "outputs": [],
    "source": [
     "import numpy as np\n",
@@ -36,25 +52,34 @@
    "id": "9e786f70",
    "metadata": {},
    "source": [
-    "## Example: Air / anisotropic film / silicon substrate"
+    "## Define the Sample: Air / anisotropic film / silicon substrate"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 2,
    "id": "4d1deaee",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-10-05T23:27:43.855881Z",
+     "iopub.status.busy": "2025-10-05T23:27:43.855706Z",
+     "iopub.status.idle": "2025-10-05T23:27:43.858025Z",
+     "shell.execute_reply": "2025-10-05T23:27:43.857750Z",
+     "shell.execute_reply.started": "2025-10-05T23:27:43.855869Z"
+    }
+   },
    "outputs": [],
    "source": [
-    "n_i = 1.0  # incident medium is air\n",
-    "n_o = 2.0  # ordinary index of thin layer\n",
-    "n_e = 2.5  # extraordinary index of thin layer\n",
-    "lbda = 620  # Wavelength for evaluation (nm)\n",
-    "Phi_i = 70  # 70° indicence angle (degree)\n",
-    "d = 100  # thin layer thickness (nm)\n",
-    "# Orientation of the anisotropy of the thin layer\n",
-    "Phi_E = 45  # 1st Euler angle\n",
-    "Theta_E = 45  # 2nd Eulet angle"
+    "n_i = 1.0   # Incident medium: air\n",
+    "n_o = 2.0   # Ordinary index of the uniaxial film\n",
+    "n_e = 2.5   # Extraordinary index of the uniaxial film\n",
+    "lbda = 620  # Wavelength (nm)\n",
+    "Phi_i = 70  # Angle of incidence (degrees)\n",
+    "d = 100     # Layer thickness (nm)\n",
+    "\n",
+    "# Euler angles for optical axis orientation of the film\n",
+    "Phi_E = 45  # 1st Euler angle (azimuth)\n",
+    "Theta_E = 45  # 2nd Euler angle (tilt)"
    ]
   },
   {
@@ -69,7 +94,15 @@
    "cell_type": "code",
    "execution_count": 3,
    "id": "0061ca18",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-10-05T23:27:43.858437Z",
+     "iopub.status.busy": "2025-10-05T23:27:43.858337Z",
+     "iopub.status.idle": "2025-10-05T23:27:43.863814Z",
+     "shell.execute_reply": "2025-10-05T23:27:43.863459Z",
+     "shell.execute_reply.started": "2025-10-05T23:27:43.858427Z"
+    }
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -95,7 +128,7 @@
    "id": "74d6bbda",
    "metadata": {},
    "source": [
-    "Should yield:\n",
+    "Expected output:\n",
     "```python\n",
     "[[[ 4.5625, -0.5625,  0.7955],\n",
     "  [-0.5625,  4.5625, -0.7955],\n",
@@ -103,11 +136,35 @@
     "```"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "7ef5dac3-b628-4679-968b-892293f413ef",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-10-05T23:11:11.244955Z",
+     "iopub.status.busy": "2025-10-05T23:11:11.244523Z",
+     "iopub.status.idle": "2025-10-05T23:11:11.246870Z",
+     "shell.execute_reply": "2025-10-05T23:11:11.246545Z",
+     "shell.execute_reply.started": "2025-10-05T23:11:11.244939Z"
+    }
+   },
+   "source": [
+    "## In-Plane Wavevector Component (Kx)"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "id": "382abbcb",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-10-05T23:27:43.864356Z",
+     "iopub.status.busy": "2025-10-05T23:27:43.864232Z",
+     "iopub.status.idle": "2025-10-05T23:27:43.866863Z",
+     "shell.execute_reply": "2025-10-05T23:27:43.866531Z",
+     "shell.execute_reply.started": "2025-10-05T23:27:43.864344Z"
+    }
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -129,16 +186,33 @@
    "id": "a004020f",
    "metadata": {},
    "source": [
+    "Expected output:\n",
     "```python\n",
     "Kx = 0.9397\n",
     "```"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "dabbbb3d-b720-4ef8-9e3a-01ffd2d382b5",
+   "metadata": {},
+   "source": [
+    "## Delta matrix (Δ_B) and it's Eigenvalues (eq 6.64, p.241)"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "id": "5fc1d1a9",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-10-05T23:27:43.868244Z",
+     "iopub.status.busy": "2025-10-05T23:27:43.868103Z",
+     "iopub.status.idle": "2025-10-05T23:27:43.871598Z",
+     "shell.execute_reply": "2025-10-05T23:27:43.871183Z",
+     "shell.execute_reply.started": "2025-10-05T23:27:43.868232Z"
+    }
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -151,7 +225,7 @@
       "  [ 0.439 +0.j -3.556 +0.j  0.    +0.j -0.1459+0.j]\n",
       "  [ 4.439 +0.j -0.439 +0.j  0.    +0.j -0.1459+0.j]]]\n",
       "\n",
-      "Eigenvalues of the Delta matrix (eq 6.64, p.241):\n",
+      "Eigenvalues of the Delta matrix:\n",
       "[-2.174  -1.7655  1.7655  1.8822]\n"
      ]
     }
@@ -164,7 +238,7 @@
     "print(Delta)\n",
     "\n",
     "q, Psi = scipy.linalg.eig(Delta[0])\n",
-    "print(\"\\nEigenvalues of the Delta matrix (eq 6.64, p.241):\")\n",
+    "print(\"\\nEigenvalues of the Delta matrix:\")\n",
     "print(np.real(q))"
    ]
   },
@@ -173,6 +247,7 @@
    "id": "53c5497b",
    "metadata": {},
    "source": [
+    "Expected output:\n",
     "```python\n",
     "# Delta matrix:\n",
     "[[[-0.1459,  0.1459,  0.    ,  0.8277],\n",
@@ -185,11 +260,26 @@
     "```"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "ad5c6eb2-0c4f-48be-bb45-4446818f8dc5",
+   "metadata": {},
+   "source": [
+    "## Propagation Matrix (T_p, eq 6.66, p. 242)"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "id": "24e1ffc5",
    "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-10-05T23:27:43.872517Z",
+     "iopub.status.busy": "2025-10-05T23:27:43.872415Z",
+     "iopub.status.idle": "2025-10-05T23:27:43.875697Z",
+     "shell.execute_reply": "2025-10-05T23:27:43.875399Z",
+     "shell.execute_reply.started": "2025-10-05T23:27:43.872508Z"
+    },
     "scrolled": true
    },
    "outputs": [
@@ -198,7 +288,7 @@
      "output_type": "stream",
      "text": [
       "\n",
-      "Propagation matrix (eq 6.66, p. 242):\n",
+      "Propagation matrix:\n",
       "[[[-0.3516-0.0572j  0.0906-0.001j   0.0334+0.0437j  0.0561-0.3971j]\n",
       "  [ 0.1042+0.0795j -0.3258-0.0114j  0.0037+0.5017j -0.0334-0.0437j]\n",
       "  [ 0.1617-0.0145j -0.0166+1.7533j -0.3258-0.0114j -0.0906+0.001j ]\n",
@@ -208,7 +298,7 @@
    ],
    "source": [
     "Tp = elli.PropagatorExpm().calculate_propagation(Delta, -d, np.array([lbda]))\n",
-    "print(\"\\nPropagation matrix (eq 6.66, p. 242):\")\n",
+    "print(\"\\nPropagation matrix:\")\n",
     "print(Tp)"
    ]
   },
@@ -217,6 +307,7 @@
    "id": "7a22f90d",
    "metadata": {},
    "source": [
+    "Expected output:\n",
     "```python\n",
     "[[[-0.353-0.057j,  0.091-0.001j,  0.033+0.044j,  0.056-0.397j],\n",
     "  [ 0.104+0.08j , -0.327-0.011j,  0.004+0.502j, -0.033-0.044j],\n",
@@ -225,22 +316,67 @@
     "```"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "a2b5e994-6c2f-4467-bb5e-06582b98a172",
+   "metadata": {},
+   "source": [
+    "## Full Stack: Air / Anisotropic Film / Silicon"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 9,
-   "id": "0c8601ad",
+   "execution_count": 7,
+   "id": "c29cd7db-856d-45aa-b95b-9086aea5e76b",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-10-05T23:27:43.876051Z",
+     "iopub.status.busy": "2025-10-05T23:27:43.875958Z",
+     "iopub.status.idle": "2025-10-05T23:27:43.878603Z",
+     "shell.execute_reply": "2025-10-05T23:27:43.878353Z",
+     "shell.execute_reply.started": "2025-10-05T23:27:43.876042Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "n_t = 3.898 + 0.016j  # Substrate refractive index (Si at 620 nm)\n",
+    "silicon = elli.ConstantRefractiveIndex(n_t).get_mat()\n",
+    "s = elli.Structure(air, [film], silicon)\n",
+    "result = s.evaluate(np.array([lbda]), Phi_i)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1f0fd332-8fc8-4857-ba2b-d9cc45dd06d2",
    "metadata": {},
+   "source": [
+    "## Jones Reflection Matrix and Ellipsometry Parameters"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "be31c21d-269e-48ba-b47e-c10b8f55639d",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-10-05T23:27:43.878952Z",
+     "iopub.status.busy": "2025-10-05T23:27:43.878861Z",
+     "iopub.status.idle": "2025-10-05T23:27:43.881543Z",
+     "shell.execute_reply": "2025-10-05T23:27:43.881269Z",
+     "shell.execute_reply.started": "2025-10-05T23:27:43.878943Z"
+    }
+   },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "\n",
-      "Jones reflexion matrix (p. 243):\n",
+      "Jones reflexion matrix:\n",
       "[[[-0.3107-0.1606j -0.1067-0.0019j]\n",
       "  [ 0.0422-0.0359j -0.5512+0.1507j]]]\n",
       "\n",
-      "Ellipsometry parameters (p. 243):\n",
+      "Ellipsometry parameters:\n",
       "Psi\n",
       "[[[31.4728 10.5742]\n",
       "  [ 5.5361 45.    ]]]\n",
@@ -251,29 +387,11 @@
     }
    ],
    "source": [
-    "n_t = 3.898 + 0.016j  #  refractive index of substrate\n",
-    "silicon = elli.ConstantRefractiveIndex(n_t).get_mat()\n",
-    "s = elli.Structure(air, [film], silicon)\n",
-    "result = s.evaluate(np.array([lbda]), Phi_i)\n",
-    "# T = s.getStructureMatrix(Kx, k0)\n",
-    "# print(\"\\nTransfer matrix T (eq 6.67, p. 242):\")\n",
-    "# print(T)\n",
-    "\"\"\"                                                                 (eq 6.67)\n",
-    "Fujiwara uses the ellipsometry convention for the orientation of the 'p'\n",
-    "polarized electric fields (see figures 2.15 and 6.14). With my convention,\n",
-    "Erp is reversed. Consequently, T_{4j} and T_{i4} have a reversed sign, except\n",
-    "T_{44}.\n",
-    "T =\n",
-    "matrix([[-1.949-3.588j,  1.671-1.548j,  0.273-0.03j , -0.630+0.147j],\n",
-    "        [ 1.617+1.679j, -1.992+3.434j, -0.301-0.064j,  0.861+0.101j],\n",
-    "        [ 0.065-0.086j,  0.039+0.097j, -0.712-3.485j,  0.004+1.265j],\n",
-    "        [-0.167-0.403j,  0.593+0.386j,  0.370-1.199j, -1.662+3.093j]])\n",
-    "\"\"\"\n",
-    "Jr = result.jones_matrix_r  #  Jones reflexion matrix\n",
-    "print(\"\\nJones reflexion matrix (p. 243):\")\n",
+    "Jr = result.jones_matrix_r\n",
+    "print(\"\\nJones reflexion matrix:\")\n",
     "print(Jr)\n",
     "\n",
-    "print(\"\\nEllipsometry parameters (p. 243):\")\n",
+    "print(\"\\nEllipsometry parameters:\")\n",
     "(Psi, Delta) = (result.psi_matrix, result.delta_matrix)\n",
     "print(\"Psi\\n\" + str(Psi))\n",
     "print(\"Delta\\n\" + str(Delta))"
@@ -284,12 +402,16 @@
    "id": "b8f61931",
    "metadata": {},
    "source": [
+    "Expected output:\n",
     "```python\n",
     "Jr =\n",
     "[[[ 0.310+0.161j,  0.107+0.002j],\n",
     "  [ 0.042-0.036j, -0.552+0.151j]]]\n",
-    "#The first line, [r_pp, r_ps], has reversed sign compared to Fujiwara's result, due to the different convention for Erp.\n",
+    "```\n",
+    "The first line, [r_pp, r_ps], has reversed sign compared to Fujiwara's result, due to the different convention for Erp.\n",
+    "\n",
     "Ellipsometry parameters:\n",
+    "```python\n",
     "Psi                         Delta\n",
     "[[ 31.4419  10.5641]         [[ -42.734   -16.4123]\n",
     " [  5.5332  45.    ]]         [-155.024     0.    ]]\n",
@@ -297,30 +419,52 @@
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": 10,
-   "id": "4808b18d",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n",
-      "We reproduce figure 6.19, p. 242...\n"
-     ]
+   "cell_type": "markdown",
+   "id": "ede9d8d3-4dc7-4b59-b603-4f928ef83b62",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-10-05T23:18:15.744789Z",
+     "iopub.status.busy": "2025-10-05T23:18:15.744632Z",
+     "iopub.status.idle": "2025-10-05T23:18:15.746883Z",
+     "shell.execute_reply": "2025-10-05T23:18:15.746602Z",
+     "shell.execute_reply.started": "2025-10-05T23:18:15.744773Z"
     }
-   ],
+   },
+   "source": [
+    "## Reproducing Figure 6.19: Ψ and Δ vs. Φ_E\n",
+    "\n",
+    "This figure shows the dependence of Ψ and Δ on the azimuthal orientation Φ_E of the anisotropic film for different tilt angles Θ_E."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d31d24dc-3e82-406d-8da7-a54ef6b48243",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-10-05T23:25:30.173882Z",
+     "iopub.status.busy": "2025-10-05T23:25:30.173646Z",
+     "iopub.status.idle": "2025-10-05T23:25:30.286027Z",
+     "shell.execute_reply": "2025-10-05T23:25:30.285702Z",
+     "shell.execute_reply.started": "2025-10-05T23:25:30.173862Z"
+    }
+   },
    "source": [
-    "# We now reproduce figure 6.19:\n",
-    "print(\"\\nWe reproduce figure 6.19, p. 242...\")"
+    "### Angular Sweep and Data Collection"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
-   "id": "fed4db71",
-   "metadata": {},
+   "execution_count": 9,
+   "id": "6d9b2921-a510-4afd-bdf8-9041f6885e67",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-10-05T23:27:43.881872Z",
+     "iopub.status.busy": "2025-10-05T23:27:43.881783Z",
+     "iopub.status.idle": "2025-10-05T23:27:44.053755Z",
+     "shell.execute_reply": "2025-10-05T23:27:44.053439Z",
+     "shell.execute_reply.started": "2025-10-05T23:27:43.881863Z"
+    }
+   },
    "outputs": [],
    "source": [
     "Theta_E_list = [0, 45, 90]\n",
@@ -335,11 +479,35 @@
     "        data.append(s.evaluate(np.array([lbda]), Phi_i))"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "714eacad-fceb-4ad3-acd3-c11ccf1b0a03",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-10-05T23:25:45.819553Z",
+     "iopub.status.busy": "2025-10-05T23:25:45.819119Z",
+     "iopub.status.idle": "2025-10-05T23:25:45.829608Z",
+     "shell.execute_reply": "2025-10-05T23:25:45.829329Z",
+     "shell.execute_reply.started": "2025-10-05T23:25:45.819534Z"
+    }
+   },
+   "source": [
+    "### Reshape Results for Plotting"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 12,
-   "id": "b19095ab",
-   "metadata": {},
+   "execution_count": 10,
+   "id": "19a6db83-b46c-4c9b-8cb5-9cfc010ee333",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-10-05T23:27:44.054293Z",
+     "iopub.status.busy": "2025-10-05T23:27:44.054150Z",
+     "iopub.status.idle": "2025-10-05T23:27:44.061883Z",
+     "shell.execute_reply": "2025-10-05T23:27:44.061521Z",
+     "shell.execute_reply.started": "2025-10-05T23:27:44.054280Z"
+    }
+   },
    "outputs": [],
    "source": [
     "psi_pp = data.psi_pp.reshape(3, 73).T\n",
@@ -349,22 +517,36 @@
     "delta_ps = data.delta_ps.reshape(3, 73).T"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "0c0253f6-216e-4647-b6f1-f24a9b070b79",
+   "metadata": {},
+   "source": [
+    "### Plotting Figure 6.19"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 11,
    "id": "a62f5312",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-10-05T23:27:44.062389Z",
+     "iopub.status.busy": "2025-10-05T23:27:44.062269Z",
+     "iopub.status.idle": "2025-10-05T23:27:44.355936Z",
+     "shell.execute_reply": "2025-10-05T23:27:44.355618Z",
+     "shell.execute_reply.started": "2025-10-05T23:27:44.062378Z"
+    }
+   },
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
-       "<Figure size 432x288 with 4 Axes>"
+       "<Figure size 640x480 with 4 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -415,7 +597,7 @@
    "notebook_metadata_filter": "-all"
   },
   "kernelspec": {
-   "display_name": "Python 3.9.13 64-bit ('elli')",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -429,7 +611,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.13.7"
   },
   "vscode": {
    "interpreter": {
diff --git a/examples/Interfaces/Interferences.ipynb b/examples/Interfaces/Interferences.ipynb
index 6e5d7a21..87a426ba 100644
--- a/examples/Interfaces/Interferences.ipynb
+++ b/examples/Interfaces/Interferences.ipynb
@@ -7,17 +7,41 @@
     "lines_to_next_cell": 0
    },
    "source": [
-    "# The simplest example: a homogeneous glass layer in air\n",
+    "# Thickness interference: A homogeneous glass layer in air\n",
+    "Author: O. Castany, M. Müller\n",
     "\n",
-    "Berreman4x4 example\n",
-    "Author: O. Castany, M. Müller"
+    "This notebook shows the reflection and transmission of light through a thin slide of glass, dependent on the material thickness."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c4205d57-5270-42ad-9625-bc3f7003f5c6",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-09-23T21:15:41.333673Z",
+     "iopub.status.busy": "2025-09-23T21:15:41.333365Z",
+     "iopub.status.idle": "2025-09-23T21:15:41.335639Z",
+     "shell.execute_reply": "2025-09-23T21:15:41.335353Z",
+     "shell.execute_reply.started": "2025-09-23T21:15:41.333657Z"
+    }
+   },
+   "source": [
+    "## Import required libraries"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 1,
    "id": "f48d23a7",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-09-23T21:21:19.946386Z",
+     "iopub.status.busy": "2025-09-23T21:21:19.946139Z",
+     "iopub.status.idle": "2025-09-23T21:21:21.380939Z",
+     "shell.execute_reply": "2025-09-23T21:21:21.380609Z",
+     "shell.execute_reply.started": "2025-09-23T21:21:19.946372Z"
+    }
+   },
    "outputs": [],
    "source": [
     "import numpy as np\n",
@@ -25,11 +49,31 @@
     "import matplotlib.pyplot as plt"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "8238dfe6-fa0a-4c59-83c5-376944d61761",
+   "metadata": {},
+   "source": [
+    "## Define Materials and Structure\n",
+    "\n",
+    "We define the materials and construct a simple optical structure:\n",
+    "- Air as the incident and exit medium\n",
+    "- A single isotropic glass layer (n = 1.5) with variable thickness"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 2,
    "id": "bd98d70b",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-09-23T21:21:21.381465Z",
+     "iopub.status.busy": "2025-09-23T21:21:21.381281Z",
+     "iopub.status.idle": "2025-09-23T21:21:21.384271Z",
+     "shell.execute_reply": "2025-09-23T21:21:21.383817Z",
+     "shell.execute_reply.started": "2025-09-23T21:21:21.381454Z"
+    }
+   },
    "outputs": [],
    "source": [
     "# Materials:\n",
@@ -44,29 +88,62 @@
     "s = elli.Structure(front, [layer], back)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "872d4ae6-28bb-427d-a6bb-bb9bceb06345",
+   "metadata": {},
+   "source": [
+    "## Set Wavelength and Incidence Angle"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 3,
    "id": "4fc853d3",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-09-23T21:21:21.384765Z",
+     "iopub.status.busy": "2025-09-23T21:21:21.384635Z",
+     "iopub.status.idle": "2025-09-23T21:21:21.390777Z",
+     "shell.execute_reply": "2025-09-23T21:21:21.390481Z",
+     "shell.execute_reply.started": "2025-09-23T21:21:21.384753Z"
+    }
+   },
    "outputs": [],
    "source": [
     "# Wavelength and wavenumber:\n",
     "lbda = 1000  # nm\n",
     "\n",
     "# Incidence angle:\n",
-    "angle = 30"
+    "angle = 30   # degrees"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4343e4bc-4dc2-4720-b9b5-679f840bb105",
+   "metadata": {},
+   "source": [
+    "## Sweep Over Layer Thickness\n",
+    "\n",
+    "We now sweep the glass layer thickness from 0 to 1000 nm and compute the optical response at each step.\n",
+    "This shows how a parameter of the simulation could be changed and the results are combined into a ResultList."
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 4,
    "id": "5f594a08",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-09-23T21:21:21.391118Z",
+     "iopub.status.busy": "2025-09-23T21:21:21.391019Z",
+     "iopub.status.idle": "2025-09-23T21:21:21.920353Z",
+     "shell.execute_reply": "2025-09-23T21:21:21.920019Z",
+     "shell.execute_reply.started": "2025-09-23T21:21:21.391108Z"
+    }
+   },
    "outputs": [],
    "source": [
-    "# Variation of the reflexion and transmission coefficients with the\n",
-    "# thickness of the glass layer:\n",
     "h_list = np.linspace(0, 1000, 1000)\n",
     "\n",
     "data = elli.ResultList()\n",
@@ -76,22 +153,39 @@
     "    data.append(s.evaluate(lbda, angle))"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "d649591a-2986-460e-9f2c-8a76c60079e0",
+   "metadata": {},
+   "source": [
+    "## Plot Reflection and Transmission\n",
+    "\n",
+    "This cell visualizes how the reflection and transmission coefficients for s- and p-polarized light vary with layer thickness.\n",
+    "The resulting Fabry-Perot oscillations become aparent."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 5,
    "id": "65234dbe",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-09-23T21:21:21.920864Z",
+     "iopub.status.busy": "2025-09-23T21:21:21.920750Z",
+     "iopub.status.idle": "2025-09-23T21:21:22.169056Z",
+     "shell.execute_reply": "2025-09-23T21:21:22.168759Z",
+     "shell.execute_reply.started": "2025-09-23T21:21:21.920855Z"
+    }
+   },
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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",
       "text/plain": [
-       "<Figure size 864x432 with 1 Axes>"
+       "<Figure size 1200x600 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -107,14 +201,6 @@
     "plt.legend()\n",
     "plt.show()"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "463d3239",
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
@@ -141,7 +227,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.1"
+   "version": "3.13.7"
   },
   "widgets": {
    "application/vnd.jupyter.widget-state+json": {
diff --git a/examples/Interfaces/interface-reflection.ipynb b/examples/Interfaces/interface-reflection.ipynb
index cf08d469..19a9ca11 100644
--- a/examples/Interfaces/interface-reflection.ipynb
+++ b/examples/Interfaces/interface-reflection.ipynb
@@ -1,133 +1,310 @@
 {
-  "cells": [
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "%matplotlib inline"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "\n# Interface reflection\n"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "## Interface between two materials\nAuthors: O. Castany, C. Molinaro, M. M\u00fcller\n\nInterface between two materials n1/n2.\nCalculations of the transmission and reflexion coefficients with varying incidence angle.\n\n"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "import elli\nimport matplotlib.pyplot as plt\nimport numpy as np\nfrom scipy.constants import c, pi"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "## Structure definition\n\n"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "n1 = 1\nn2 = 1.5\nfront = elli.IsotropicMaterial(elli.ConstantRefractiveIndex(n1))\nback = elli.IsotropicMaterial(elli.ConstantRefractiveIndex(n2))\n\n# Structure\ns = elli.Structure(front, [], back)\n\n# Parameters for the calculation\nlbda = 1000\nk0 = 2 * pi / lbda\nPhi_list = np.linspace(0, 89, 90)  # \u00a0range for the incidence angles"
-      ]
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "collapsed": false,
+    "execution": {
+     "iopub.execute_input": "2025-10-14T21:24:17.553710Z",
+     "iopub.status.busy": "2025-10-14T21:24:17.553549Z",
+     "iopub.status.idle": "2025-10-14T21:24:17.816539Z",
+     "shell.execute_reply": "2025-10-14T21:24:17.816244Z",
+     "shell.execute_reply.started": "2025-10-14T21:24:17.553698Z"
     },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "## Analytical calculation\n\n"
-      ]
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [],
+   "source": [
+    "%matplotlib inline"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Reflection on interfaces between two materials\n",
+    "Authors: O. Castany, C. Molinaro, M. Müller\n",
+    "\n",
+    "This notebook analyzes the optical behavior at the interface between two isotropic materials with refractive indices n1 and n2.\n",
+    "\n",
+    "It computes the reflection and transmission coefficients as functions of the incidence angle, for both s- and p-polarized light, \n",
+    "using the analytical Fresnel equations and comparing those to pyElli's output."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-09-23T20:36:09.419225Z",
+     "iopub.status.busy": "2025-09-23T20:36:09.418944Z",
+     "iopub.status.idle": "2025-09-23T20:36:09.421137Z",
+     "shell.execute_reply": "2025-09-23T20:36:09.420778Z",
+     "shell.execute_reply.started": "2025-09-23T20:36:09.419213Z"
+    }
+   },
+   "source": [
+    "## Import required libraries"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "collapsed": false,
+    "execution": {
+     "iopub.execute_input": "2025-10-14T21:24:17.817025Z",
+     "iopub.status.busy": "2025-10-14T21:24:17.816864Z",
+     "iopub.status.idle": "2025-10-14T21:24:18.970603Z",
+     "shell.execute_reply": "2025-10-14T21:24:18.970298Z",
+     "shell.execute_reply.started": "2025-10-14T21:24:17.817014Z"
     },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "Phi_i = np.deg2rad(Phi_list)\n\nPhi_t = np.arcsin((n1 * np.sin(Phi_i) / n2).astype(complex))\nkz1 = n1 * k0 * np.cos(Phi_i)\nkz2 = n2 * k0 * np.cos(Phi_t)\nr_s = (kz1 - kz2) / (kz1 + kz2)\nt_s = 1 + r_s\nr_p = (kz1 * n2**2 - kz2 * n1**2) / (kz1 * n2**2 + kz2 * n1**2)\nt_p = np.cos(Phi_i) * (1 - r_p) / np.cos(Phi_t)\n\n# Reflection and transmission coefficients, polarisation s and p\nR_th_ss = abs(r_s) ** 2\nR_th_pp = abs(r_p) ** 2\nt2_th_ss = abs(t_s) ** 2\nt2_th_pp = abs(t_p) ** 2\n# The power transmission coefficient is T = Re(kz2/kz1) \u00d7 |t|^2\ncorrection = np.real(kz2 / kz1)\nT_th_ss = correction * t2_th_ss\nT_th_pp = correction * t2_th_pp"
-      ]
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import elli\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "from scipy.constants import c, pi"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Structure definition\n",
+    "\n",
+    "We define an optical system with two materials:\n",
+    "\n",
+    "- Frontside medium (air) with refractive index n = 1.0 \n",
+    "- Back medium (glass) with n = 1.5\n",
+    "\n",
+    "We also prepare the vacuum wavevector k0 and a range of incidence angles from 0° to 89°."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "collapsed": false,
+    "execution": {
+     "iopub.execute_input": "2025-10-14T21:24:18.971098Z",
+     "iopub.status.busy": "2025-10-14T21:24:18.970922Z",
+     "iopub.status.idle": "2025-10-14T21:24:18.973593Z",
+     "shell.execute_reply": "2025-10-14T21:24:18.973334Z",
+     "shell.execute_reply.started": "2025-10-14T21:24:18.971087Z"
     },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "## Calculation with pyElli\n\n"
-      ]
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [],
+   "source": [
+    "# Define refractive indices for the two media\n",
+    "n1 = 1\n",
+    "n2 = 1.5\n",
+    "\n",
+    "# Create isotropic materials using pyElli's ConstantRefractiveIndex model\n",
+    "front = elli.IsotropicMaterial(elli.ConstantRefractiveIndex(n1))\n",
+    "back = elli.IsotropicMaterial(elli.ConstantRefractiveIndex(n2))\n",
+    "\n",
+    "# Define the optical structure: just a single interface with no internal layers\n",
+    "s = elli.Structure(front, [], back)\n",
+    "\n",
+    "# Set wavelength and wavevector\n",
+    "lbda = 1000\n",
+    "k0 = 2 * pi / lbda\n",
+    "\n",
+    "# Define a range of incidence angles from 0° to 89°\n",
+    "Phi_list = np.linspace(0, 89, 90)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Analytical calculation\n",
+    "\n",
+    "We calculate the Fresnel reflection and transmission coefficients for s- and p-polarized light at an interface."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "collapsed": false,
+    "execution": {
+     "iopub.execute_input": "2025-10-14T21:24:18.974135Z",
+     "iopub.status.busy": "2025-10-14T21:24:18.973972Z",
+     "iopub.status.idle": "2025-10-14T21:24:18.979662Z",
+     "shell.execute_reply": "2025-10-14T21:24:18.979308Z",
+     "shell.execute_reply.started": "2025-10-14T21:24:18.974121Z"
     },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "data = elli.ResultList([s.evaluate(lbda, Phi_i) for Phi_i in Phi_list])\n\nR_pp = data.R_pp\nR_ss = data.R_ss\n\nT_pp = data.T_pp\nT_ss = data.T_ss\n\nt2_pp = np.abs(data.t_pp) ** 2\nt2_ss = np.abs(data.t_ss) ** 2"
-      ]
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [],
+   "source": [
+    "# Convert incidence angles from degrees to radians\n",
+    "Phi_i = np.deg2rad(Phi_list)\n",
+    "\n",
+    "# Snell's law (allowing complex values for total internal reflection)\n",
+    "Phi_t = np.arcsin((n1 * np.sin(Phi_i) / n2).astype(complex))\n",
+    "\n",
+    "kz1 = n1 * k0 * np.cos(Phi_i)\n",
+    "kz2 = n2 * k0 * np.cos(Phi_t)\n",
+    "\n",
+    "# Fresnel coefficients\n",
+    "r_s = (kz1 - kz2) / (kz1 + kz2)\n",
+    "t_s = 1 + r_s\n",
+    "r_p = (kz1 * n2**2 - kz2 * n1**2) / (kz1 * n2**2 + kz2 * n1**2)\n",
+    "t_p = np.cos(Phi_i) * (1 - r_p) / np.cos(Phi_t)\n",
+    "\n",
+    "# Reflectance and Transmittance\n",
+    "R_th_ss = abs(r_s) ** 2\n",
+    "R_th_pp = abs(r_p) ** 2\n",
+    "t2_th_ss = abs(t_s) ** 2\n",
+    "t2_th_pp = abs(t_p) ** 2\n",
+    "\n",
+    "# The power transmission coefficient (correction for energy conservation) is T = Re(kz2/kz1) × |t|^2\n",
+    "correction = np.real(kz2 / kz1)\n",
+    "T_th_ss = correction * t2_th_ss\n",
+    "T_th_pp = correction * t2_th_pp"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Calculation with pyElli\n",
+    "\n",
+    "Here, we simulate the same interface using pyElli.\n",
+    "\n",
+    "Each angle is evaluated using `Structure.evaluate()` and then grouped in a `ResultList` object to get angle dependent arrays."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "collapsed": false,
+    "execution": {
+     "iopub.execute_input": "2025-10-14T21:24:18.980174Z",
+     "iopub.status.busy": "2025-10-14T21:24:18.980040Z",
+     "iopub.status.idle": "2025-10-14T21:24:19.004751Z",
+     "shell.execute_reply": "2025-10-14T21:24:19.004457Z",
+     "shell.execute_reply.started": "2025-10-14T21:24:18.980162Z"
     },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "## Plotting\n\n"
-      ]
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [],
+   "source": [
+    "data = elli.ResultList([s.evaluate(lbda, Phi_i, solver=elli.Solver4x4) for Phi_i in Phi_list])\n",
+    "\n",
+    "R_pp = data.R_pp\n",
+    "R_ss = data.R_ss\n",
+    "\n",
+    "T_pp = data.T_pp\n",
+    "T_ss = data.T_ss\n",
+    "\n",
+    "t2_pp = np.abs(data.t_pp) ** 2\n",
+    "t2_ss = np.abs(data.t_ss) ** 2"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Comparing results\n",
+    "\n",
+    "- Theoretical results as dotted lines\n",
+    "- PyElli results as solid lines"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "collapsed": false,
+    "execution": {
+     "iopub.execute_input": "2025-10-14T21:24:19.005570Z",
+     "iopub.status.busy": "2025-10-14T21:24:19.005466Z",
+     "iopub.status.idle": "2025-10-14T21:24:19.324922Z",
+     "shell.execute_reply": "2025-10-14T21:24:19.324628Z",
+     "shell.execute_reply.started": "2025-10-14T21:24:19.005560Z"
     },
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [
     {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "fig = plt.figure(figsize=(12.0, 6.0))\nplt.rcParams[\"axes.prop_cycle\"] = plt.cycler(\"color\", \"bgrcmk\")\nax = fig.add_axes([0.1, 0.1, 0.7, 0.8])\n\nd = np.vstack((R_ss, R_pp, t2_ss, t2_pp, T_ss, T_pp)).T\nlines1 = ax.plot(Phi_list, d)\nlegend1 = (\"R_ss\", \"R_pp\", \"t2_ss\", \"t2_pp\", \"T_ss\", \"T_pp\")\n\nd = np.vstack((R_th_ss, R_th_pp, t2_th_ss, t2_th_pp, T_th_ss, T_th_pp)).T\nlines2 = ax.plot(Phi_list, d, \".\")\nlegend2 = (\"R_th_ss\", \"R_th_pp\", \"t2_th_ss\", \"t2_th_pp\", \"T_th_ss\", \"T_th_pp\")\n\nax.legend(\n    lines1 + lines2,\n    legend1 + legend2,\n    loc=\"upper left\",\n    bbox_to_anchor=(1.05, 1),\n    borderaxespad=0.0,\n)\n\nax.set_title(\"Interface n$_1$={:} / n$_2$={:}\".format(n1, n2))\nax.set_xlabel(r\"Incidence angle $\\Phi_i$ \")\nax.set_ylabel(r\"Reflexion and transmission coefficients $R$, $T$, $|t|^2$\")\n\nplt.show()"
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x600 with 1 Axes>"
       ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
-  ],
-  "metadata": {
-    "kernelspec": {
-      "display_name": "Python 3",
-      "language": "python",
-      "name": "python3"
-    },
-    "language_info": {
-      "codemirror_mode": {
-        "name": "ipython",
-        "version": 3
-      },
-      "file_extension": ".py",
-      "mimetype": "text/x-python",
-      "name": "python",
-      "nbconvert_exporter": "python",
-      "pygments_lexer": "ipython3",
-      "version": "3.9.13"
-    }
+   ],
+   "source": [
+    "fig = plt.figure(figsize=(12.0, 6.0))\n",
+    "plt.rcParams[\"axes.prop_cycle\"] = plt.cycler(\"color\", \"bgrcmk\")\n",
+    "ax = fig.add_axes([0.1, 0.1, 0.7, 0.8])\n",
+    "\n",
+    "d = np.vstack((R_ss, R_pp, t2_ss, t2_pp, T_ss, T_pp)).T\n",
+    "lines1 = ax.plot(Phi_list, d)\n",
+    "legend1 = (\"R_ss\", \"R_pp\", \"t2_ss\", \"t2_pp\", \"T_ss\", \"T_pp\")\n",
+    "\n",
+    "d = np.vstack((R_th_ss, R_th_pp, t2_th_ss, t2_th_pp, T_th_ss, T_th_pp)).T\n",
+    "lines2 = ax.plot(Phi_list, d, \".\")\n",
+    "legend2 = (\"R_th_ss\", \"R_th_pp\", \"t2_th_ss\", \"t2_th_pp\", \"T_th_ss\", \"T_th_pp\")\n",
+    "\n",
+    "ax.legend(\n",
+    "    lines1 + lines2,\n",
+    "    legend1 + legend2,\n",
+    "    loc=\"upper left\",\n",
+    "    bbox_to_anchor=(1.05, 1),\n",
+    "    borderaxespad=0.0,\n",
+    ")\n",
+    "\n",
+    "ax.set_title(\"Interface n$_1$={:} / n$_2$={:}\".format(n1, n2))\n",
+    "ax.set_xlabel(r\"Incidence angle $\\Phi_i$ \")\n",
+    "ax.set_ylabel(r\"Reflection and transmission coefficients $R$, $T$, $|t|^2$\")\n",
+    "\n",
+    "plt.show()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
   },
-  "nbformat": 4,
-  "nbformat_minor": 0
-}
\ No newline at end of file
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.13.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/examples/Liquid crystals/cholesteric-liquid.ipynb b/examples/Liquid crystals/cholesteric-liquid.ipynb
index 5551ad73..68714284 100644
--- a/examples/Liquid crystals/cholesteric-liquid.ipynb	
+++ b/examples/Liquid crystals/cholesteric-liquid.ipynb	
@@ -1,133 +1,423 @@
 {
-  "cells": [
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "%matplotlib inline"
-      ]
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "collapsed": false,
+    "execution": {
+     "iopub.execute_input": "2025-10-14T20:47:11.114227Z",
+     "iopub.status.busy": "2025-10-14T20:47:11.114121Z",
+     "iopub.status.idle": "2025-10-14T20:47:11.375578Z",
+     "shell.execute_reply": "2025-10-14T20:47:11.375260Z",
+     "shell.execute_reply.started": "2025-10-14T20:47:11.114216Z"
     },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "\n# Cholesteric Liquid Crystal\n"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "## Example of a cholesteric liquid crystal\nAuthors: O. Castany, C. Molinaro, M. M\u00fcller\n\n"
-      ]
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [],
+   "source": [
+    "%matplotlib inline"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Cholesteric Liquid Crystal Simulation"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Example of a cholesteric liquid crystal\n",
+    "Authors: O. Castany, C. Molinaro, M. Müller\n",
+    "\n",
+    "This notebook demonstrates how to model and simulate the optical properties of a cholesteric liquid crystal using pyElli. We will build a helical structure and observe its characteristic selective reflection of circularly polarized light."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "collapsed": false,
+    "execution": {
+     "iopub.execute_input": "2025-10-14T20:47:11.376058Z",
+     "iopub.status.busy": "2025-10-14T20:47:11.375904Z",
+     "iopub.status.idle": "2025-10-14T20:47:12.563096Z",
+     "shell.execute_reply": "2025-10-14T20:47:12.562744Z",
+     "shell.execute_reply.started": "2025-10-14T20:47:11.376048Z"
     },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "import elli\nimport elli.plot as elliplot\nimport matplotlib.pyplot as plt\nimport numpy as np\nfrom scipy.constants import c, pi"
-      ]
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import elli\n",
+    "import elli.plot as elliplot\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "from scipy.constants import c, pi"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Setup materials\n",
+    "\n",
+    "We start by defining the materials for our model. The liquid crystal will be sandwiched between two layers of isotropic glass with a constant refractive index of 1.55.\n",
+    "\n",
+    "The liquid crystal (LC) itself is uniaxial and will be rotated to have the extraordinary axis orientated in x-direction."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "collapsed": false,
+    "execution": {
+     "iopub.execute_input": "2025-10-14T20:47:12.563676Z",
+     "iopub.status.busy": "2025-10-14T20:47:12.563490Z",
+     "iopub.status.idle": "2025-10-14T20:47:12.566450Z",
+     "shell.execute_reply": "2025-10-14T20:47:12.566108Z",
+     "shell.execute_reply.started": "2025-10-14T20:47:12.563664Z"
     },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "## Setup materials and structure\n\n"
-      ]
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [],
+   "source": [
+    "glass = elli.IsotropicMaterial(elli.ConstantRefractiveIndex(1.55))\n",
+    "front = back = glass\n",
+    "\n",
+    "# Define the ordinary (no) and extraordinary (ne) refractive indices for the LC\n",
+    "(no, ne) = (1.5, 1.7)\n",
+    "Dn = ne - no\n",
+    "n_med = (ne + no) / 2\n",
+    "\n",
+    "# Create a uniaxial material with ne oriented along the z-axis by default\n",
+    "LC = elli.UniaxialMaterial(\n",
+    "    elli.ConstantRefractiveIndex(no), elli.ConstantRefractiveIndex(ne)\n",
+    ")\n",
+    "\n",
+    "# Rotate the material so the extraordinary axis is along x instead of z\n",
+    "R = elli.rotation_v_theta(elli.E_Y, 90)  # rotation of pi/2 along y\n",
+    "LC.set_rotation(R)  # apply rotation from z to x"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Building the Helical Structure\n",
+    "\n",
+    "The defining feature of a cholesteric liquid crystal is its helical structure. The distance over which the director rotates by 360° is known as the cholesteric pitch (p).\n",
+    "\n",
+    "We model this by first creating a single TwistedLayer that represents one half-turn of the helix (180° rotation over a distance of p/2). We then stack this layer multiple times using RepeatedLayers to build the full thickness (7.5p) of the liquid crystal cell."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "collapsed": false,
+    "execution": {
+     "iopub.execute_input": "2025-10-14T20:47:12.567006Z",
+     "iopub.status.busy": "2025-10-14T20:47:12.566846Z",
+     "iopub.status.idle": "2025-10-14T20:47:12.572337Z",
+     "shell.execute_reply": "2025-10-14T20:47:12.571950Z",
+     "shell.execute_reply.started": "2025-10-14T20:47:12.566993Z"
     },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "glass = elli.IsotropicMaterial(elli.ConstantRefractiveIndex(1.55))\nfront = back = glass\n\n# Liquid crystal oriented along the x direction\n(no, ne) = (1.5, 1.7)\nDn = ne - no\nn_med = (ne + no) / 2\nLC = elli.UniaxialMaterial(\n    elli.ConstantRefractiveIndex(no), elli.ConstantRefractiveIndex(ne)\n)  # ne is along z\nR = elli.rotation_v_theta(elli.E_Y, 90)  # rotation of pi/2 along y\nLC.set_rotation(R)  # apply rotation from z to x\n\n# Cholesteric pitch (nm):\np = 650\n\n# One half turn of a right-handed helix:\nTN = elli.TwistedLayer(LC, p / 2, angle=180, div=35)\n\n# Repetition the helix layer\nN = 15  # number half pitch repetitions\nh = N * p / 2\nL = elli.RepeatedLayers([TN], N)\ns = elli.Structure(front, [L], back)\n\n# Calculation parameters\nlbda_min, lbda_max = 800, 1200  # (nm)\nlbda_B = p * n_med\nlbda_list = np.linspace(lbda_min, lbda_max, 100)"
-      ]
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [],
+   "source": [
+    "# Cholesteric pitch (nm):\n",
+    "p = 650\n",
+    "\n",
+    "# One half turn of a right-handed helix:\n",
+    "TN = elli.TwistedLayer(LC, p / 2, angle=180, div=35)\n",
+    "\n",
+    "# Repetition the helix layer\n",
+    "N = 15  # number half pitch repetitions\n",
+    "h = N * p / 2\n",
+    "L = elli.RepeatedLayers([TN], N)\n",
+    "s = elli.Structure(front, [L], back)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Setting Calculation Parameters\n",
+    "\n",
+    "Finally, we define the wavelength range for our simulation around the central wavelength of the reflection band, which is determined by the average refractive index and the pitch."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "collapsed": false,
+    "execution": {
+     "iopub.execute_input": "2025-10-14T20:47:12.573159Z",
+     "iopub.status.busy": "2025-10-14T20:47:12.572801Z",
+     "iopub.status.idle": "2025-10-14T20:47:12.575256Z",
+     "shell.execute_reply": "2025-10-14T20:47:12.574867Z",
+     "shell.execute_reply.started": "2025-10-14T20:47:12.573145Z"
     },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "## Analytical calculation for the maximal reflection\n\n"
-      ]
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [],
+   "source": [
+    "# Define wavelength range in nm for the calculation\n",
+    "lbda_min, lbda_max = 800, 1200\n",
+    "lbda_B = p * n_med # Expected center of the reflection band\n",
+    "lbda_list = np.linspace(lbda_min, lbda_max, 100)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Analytical calculation for the maximal reflection\n",
+    "\n",
+    "For a cholesteric liquid crystal, we can analytically calculate the approximate edges of the reflection band and the maximum reflectance. This serves as a good check for our full simulation."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "collapsed": false,
+    "execution": {
+     "iopub.execute_input": "2025-10-14T20:47:12.576542Z",
+     "iopub.status.busy": "2025-10-14T20:47:12.576389Z",
+     "iopub.status.idle": "2025-10-14T20:47:12.578620Z",
+     "shell.execute_reply": "2025-10-14T20:47:12.578306Z",
+     "shell.execute_reply.started": "2025-10-14T20:47:12.576531Z"
     },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "R_th = np.tanh(Dn / n_med * pi * h / p) ** 2\nlbda_B1, lbda_B2 = p * no, p * ne"
-      ]
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [],
+   "source": [
+    "# Theoretical maximum reflectance\n",
+    "R_th = np.tanh(Dn / n_med * pi * h / p) ** 2\n",
+    "\n",
+    "# Theoretical wavelength edges of the reflection band\n",
+    "lbda_B1, lbda_B2 = p * no, p * ne"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Calculation with pyElli\n",
+    "\n",
+    "Now we run the simulation using the s.evaluate() method. This calculates the Jones matrix elements for transmission and reflection.\n",
+    "\n",
+    "They are extracted for linear (s and p), as well as circular polarized light (R and L)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "collapsed": false,
+    "execution": {
+     "iopub.execute_input": "2025-10-14T20:47:12.579271Z",
+     "iopub.status.busy": "2025-10-14T20:47:12.579074Z",
+     "iopub.status.idle": "2025-10-14T20:47:12.744984Z",
+     "shell.execute_reply": "2025-10-14T20:47:12.744657Z",
+     "shell.execute_reply.started": "2025-10-14T20:47:12.579254Z"
     },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "## Calculation with pyElli\n\n"
-      ]
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [],
+   "source": [
+    "# Run the full optical simulation for the defined structure and wavelength list\n",
+    "data = s.evaluate(lbda_list, 0)\n",
+    "\n",
+    "# Extract transmission coefficients for linear polarization\n",
+    "T_pp = data.T_pp\n",
+    "T_ps = data.T_ps\n",
+    "T_ss = data.T_ss\n",
+    "T_sp = data.T_sp\n",
+    "\n",
+    "# Calculate transmission for unpolarized incident light\n",
+    "T_nn = 0.5 * (T_pp + T_ps + T_sp + T_ss)\n",
+    "\n",
+    "# Transmission coefficients for 's' and 'p' polarized light, with\n",
+    "# unpolarized measurement.\n",
+    "T_ns = T_ps + T_ss\n",
+    "T_np = T_pp + T_sp\n",
+    "\n",
+    "# Right-circular wave is reflected in the stop-band.\n",
+    "# A right-handed helix reflects right-circular (RR) light.\n",
+    "R_RR = data.Rc_RR\n",
+    "R_LR = data.Rc_LR\n",
+    "T_RR = data.Tc_RR\n",
+    "T_LR = data.Tc_LR\n",
+    "\n",
+    "# Left-circular wave is transmitted in the full spectrum.\n",
+    "# T_RL, R_RL, R_LL close to zero, T_LL close to 1.\n",
+    "T_LL = data.Tc_LL\n",
+    "R_LL = data.Rc_LL"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Plotting\n",
+    "\n",
+    "Finally, we plot the results. The plot will show the transmission and reflection spectra for various polarizations.\n",
+    "\n",
+    "We also draw a shaded rectangle representing the analytically calculated photonic stop-band. Inside this band, we expect to see strong reflection for a specific circular polarization. As our model is a right-handed helix, it should strongly reflect right-circularly polarized light (R_RR)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {
+    "collapsed": false,
+    "execution": {
+     "iopub.execute_input": "2025-10-14T20:47:12.745494Z",
+     "iopub.status.busy": "2025-10-14T20:47:12.745370Z",
+     "iopub.status.idle": "2025-10-14T20:47:13.054031Z",
+     "shell.execute_reply": "2025-10-14T20:47:13.053621Z",
+     "shell.execute_reply.started": "2025-10-14T20:47:12.745483Z"
     },
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [
     {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "data = s.evaluate(lbda_list, 0)\n\nT_pp = data.T_pp\nT_ps = data.T_ps\nT_ss = data.T_ss\nT_sp = data.T_sp\n\n# Transmission coefficients for incident unpolarized light:\nT_pn = 0.5 * (T_pp + T_ps)\nT_sn = 0.5 * (T_sp + T_ss)\nT_nn = T_sn + T_pn\n\n# Transmission coefficients for 's' and 'p' polarized light, with\n# unpolarized measurement.\nT_ns = T_ps + T_ss\nT_np = T_pp + T_sp\n\n# Right-circular wave is reflected in the stop-band.\n# R_LR, T_LR close to zero.\nR_RR = data.Rc_RR\nR_LR = data.Rc_LR\nT_RR = data.Tc_RR\nT_LR = data.Tc_LR\n\n# Left-circular wave is transmitted in the full spectrum.\n# T_RL, R_RL, R_LL close to zero, T_LL close to 1.\nT_LL = data.Tc_LL\nR_LL = data.Rc_LL"
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
       ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig = plt.figure()\n",
+    "ax = fig.add_subplot(1, 1, 1)\n",
+    "\n",
+    "# Draw rectangle for λ ∈ [p·no, p·ne], and T ∈ [0, R_th]\n",
+    "rectangle = plt.Rectangle((lbda_B1, 0), lbda_B2 - lbda_B1, R_th, color=\"cyan\")\n",
+    "ax.add_patch(rectangle)\n",
+    "\n",
+    "ax.plot(lbda_list, R_RR, \"--\", label=\"R_RR\")\n",
+    "ax.plot(lbda_list, T_RR, label=\"T_RR\")\n",
+    "ax.plot(lbda_list, T_nn, label=\"T_nn\")\n",
+    "ax.plot(lbda_list, T_ns, label=\"T_ns\")\n",
+    "ax.plot(lbda_list, T_np, label=\"T_np\")\n",
+    "\n",
+    "ax.legend(loc=\"center right\", bbox_to_anchor=(1.00, 0.50))\n",
+    "\n",
+    "ax.set_title(\n",
+    "    \"Right-handed Cholesteric Liquid Crystal, aligned along \\n\"\n",
+    "    + \"the $x$ direction, with {:.1f} helix pitches.\".format(N / 2.0)\n",
+    ")\n",
+    "ax.set_xlabel(r\"Wavelength $\\lambda_0$ (nm)\")\n",
+    "ax.set_ylabel(r\"Power transmission $T$ and reflexion $R$\")\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Additionally we can visualize the refractive index n x direction of the structure in dependance of z position."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {
+    "collapsed": false,
+    "execution": {
+     "iopub.execute_input": "2025-10-14T20:47:13.054794Z",
+     "iopub.status.busy": "2025-10-14T20:47:13.054457Z",
+     "iopub.status.idle": "2025-10-14T20:47:13.113115Z",
+     "shell.execute_reply": "2025-10-14T20:47:13.112804Z",
+     "shell.execute_reply.started": "2025-10-14T20:47:13.054783Z"
     },
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [
     {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "## Plotting\n\n"
+     "data": {
+      "text/plain": [
+       "<Axes: xlabel='z (nm)', ylabel=\"n'\">"
       ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
     },
     {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "fig = plt.figure()\nax = fig.add_subplot(1, 1, 1)\n\n# Draw rectangle for \u03bb \u2208 [p\u00b7no, p\u00b7ne], and T \u2208 [0, R_th]\nrectangle = plt.Rectangle((lbda_B1, 0), lbda_B2 - lbda_B1, R_th, color=\"cyan\")\nax.add_patch(rectangle)\n\nax.plot(lbda_list, R_RR, \"--\", label=\"R_RR\")\nax.plot(lbda_list, T_RR, label=\"T_RR\")\nax.plot(lbda_list, T_nn, label=\"T_nn\")\nax.plot(lbda_list, T_ns, label=\"T_ns\")\nax.plot(lbda_list, T_np, label=\"T_np\")\n\nax.legend(loc=\"center right\", bbox_to_anchor=(1.00, 0.50))\n\nax.set_title(\n    \"Right-handed Cholesteric Liquid Crystal, aligned along \\n\"\n    + \"the $x$ direction, with {:.1f} helix pitches.\".format(N / 2.0)\n)\nax.set_xlabel(r\"Wavelength $\\lambda_0$ (nm)\")\nax.set_ylabel(r\"Power transmission $T$ and reflexion $R$\")\nplt.show()\n\nelliplot.draw_structure(s)"
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x300 with 1 Axes>"
       ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
-  ],
-  "metadata": {
-    "kernelspec": {
-      "display_name": "Python 3",
-      "language": "python",
-      "name": "python3"
-    },
-    "language_info": {
-      "codemirror_mode": {
-        "name": "ipython",
-        "version": 3
-      },
-      "file_extension": ".py",
-      "mimetype": "text/x-python",
-      "name": "python",
-      "nbconvert_exporter": "python",
-      "pygments_lexer": "ipython3",
-      "version": "3.9.13"
-    }
+   ],
+   "source": [
+    "elliplot.draw_structure(s)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
   },
-  "nbformat": 4,
-  "nbformat_minor": 0
-}
\ No newline at end of file
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.13.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/examples/Liquid crystals/twisted-nematic.ipynb b/examples/Liquid crystals/twisted-nematic.ipynb
index e3825dc1..5af42ca7 100644
--- a/examples/Liquid crystals/twisted-nematic.ipynb	
+++ b/examples/Liquid crystals/twisted-nematic.ipynb	
@@ -38,7 +38,15 @@
    "cell_type": "code",
    "execution_count": 1,
    "id": "60c0a3b9",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-10-14T21:12:35.513708Z",
+     "iopub.status.busy": "2025-10-14T21:12:35.513609Z",
+     "iopub.status.idle": "2025-10-14T21:12:36.953019Z",
+     "shell.execute_reply": "2025-10-14T21:12:36.952677Z",
+     "shell.execute_reply.started": "2025-10-14T21:12:35.513697Z"
+    }
+   },
    "outputs": [],
    "source": [
     "import elli\n",
@@ -56,37 +64,108 @@
     "tags": []
    },
    "source": [
-    "## Set parameters"
+    "## Materials\n",
+    "\n",
+    "The liquid crystal is sandwiched between two isotropic glass substrates. We choose a refractive index of n = 1.55 for the glass.\n",
+    "\n",
+    "The liquid crystal is a uniaxial material with an ordinary refractive index (n_o) and an extraordinary refractive index (n_e)."
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "1fb08de5-4eb3-44ed-a585-94da994e31d2",
-   "metadata": {},
+   "id": "53aee7b4-bb47-49df-af29-f0cf9ef34fb2",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-10-14T21:12:36.953517Z",
+     "iopub.status.busy": "2025-10-14T21:12:36.953338Z",
+     "iopub.status.idle": "2025-10-14T21:12:36.956246Z",
+     "shell.execute_reply": "2025-10-14T21:12:36.955940Z",
+     "shell.execute_reply.started": "2025-10-14T21:12:36.953506Z"
+    }
+   },
    "outputs": [],
    "source": [
     "# Materials\n",
     "glass = elli.IsotropicMaterial(elli.ConstantRefractiveIndex(1.55))\n",
     "front = back = glass\n",
     "\n",
-    "# Liquid crystal oriented along the x direction\n",
+    "# Liquid crystal material\n",
     "(no, ne) = (1.5, 1.6)\n",
     "Dn = ne - no\n",
     "LC = elli.UniaxialMaterial(\n",
     "    elli.ConstantRefractiveIndex(no), elli.ConstantRefractiveIndex(ne)\n",
     ")\n",
+    "\n",
+    "# By default, the extraordinary axis is along z. We rotate it to be along x.\n",
     "R = elli.rotation_v_theta(elli.E_Y, 90)\n",
-    "LC.set_rotation(R)\n",
-    "d = 4330\n",
+    "LC.set_rotation(R)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "58e9330f-2238-4abd-bff3-18f057889c54",
+   "metadata": {},
+   "source": [
+    "## Structure\n",
+    "\n",
+    "We create the twisted nematic layer using elli.TwistedLayer. We specify the material (LC), the total thickness (d), and the total twist angle (90°). The continuous helical twist is approximated by a series of discrete, rotated sub-layers. The number of these sub-layers is set by the divisions parameter."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "687602cc-9b07-41fb-9e97-88e127b78123",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-10-14T21:12:36.956657Z",
+     "iopub.status.busy": "2025-10-14T21:12:36.956556Z",
+     "iopub.status.idle": "2025-10-14T21:12:36.961803Z",
+     "shell.execute_reply": "2025-10-14T21:12:36.961254Z",
+     "shell.execute_reply.started": "2025-10-14T21:12:36.956647Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "d = 4330 # Layer thickness in nm\n",
     "TN = elli.TwistedLayer(LC, d, 7, 90)\n",
     "\n",
-    "# Structure\n",
-    "s = elli.Structure(front, [TN], back)\n",
+    "# The final structure is the twisted nematic layer between the two glass substrates.\n",
+    "s = elli.Structure(front, [TN], back)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0aa89872-8e5c-4466-aa15-50118bb3e397",
+   "metadata": {},
+   "source": [
+    "## Calculation Range\n",
     "\n",
-    "# Calculation parameters\n",
-    "(lbda_min, lbda_max) = (200e-9, 1)  #  (m)\n",
+    "We define the spectral range for our simulation. The calculations will be performed over a list of wavenumbers (k0_list), which are then converted to wavelengths (lbda_list) for plotting and theoretical calculations."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "44258c7f-00aa-46d1-a1a8-af75c27cce01",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-10-14T21:12:36.962288Z",
+     "iopub.status.busy": "2025-10-14T21:12:36.962172Z",
+     "iopub.status.idle": "2025-10-14T21:12:36.964558Z",
+     "shell.execute_reply": "2025-10-14T21:12:36.964215Z",
+     "shell.execute_reply.started": "2025-10-14T21:12:36.962277Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "# Wavelength range in meters\n",
+    "(lbda_min, lbda_max) = (200e-9, 1)\n",
+    "\n",
+    "# Create a list of wavenumbers with even spacing\n",
     "k0_list = np.linspace(2 * pi / lbda_max, 2 * pi / lbda_min)\n",
+    "\n",
+    "# Convert to nm for calculations\n",
     "lbda_list = (2 * pi) / k0_list * 1e9"
    ]
   },
@@ -95,14 +174,24 @@
    "id": "c3a4c0be-16ce-4f1f-ac28-d268539df882",
    "metadata": {},
    "source": [
-    "## Calculate theoretical curve with Gooch-Tarry law"
+    "## Calculate theoretical curve with Gooch-Tarry law\n",
+    "\n",
+    "Before running the full simulation, we calculate the expected transmission using the Gooch-Tarry law. This analytical formula describes the transmission of linearly polarized light through a TN cell placed between parallel polarizers."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 5,
    "id": "673afd53-8ca5-40ce-9d2b-08cc70cdd605",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-10-14T21:12:36.964976Z",
+     "iopub.status.busy": "2025-10-14T21:12:36.964859Z",
+     "iopub.status.idle": "2025-10-14T21:12:36.967236Z",
+     "shell.execute_reply": "2025-10-14T21:12:36.966785Z",
+     "shell.execute_reply.started": "2025-10-14T21:12:36.964965Z"
+    }
+   },
    "outputs": [],
    "source": [
     "u = 2 * d * Dn / lbda_list\n",
@@ -114,14 +203,24 @@
    "id": "77af6158-40a7-474f-a208-8769b02507dd",
    "metadata": {},
    "source": [
-    "## Simulate with pyElli"
+    "## Run the pyElli Simulation\n",
+    "\n",
+    "We now use pyElli's 4x4 Berreman matrix solver to simulate the transmission. To test for numerical convergence, we run the simulation twice: once with a coarse approximation of the twist (7 divisions) and a second time with a finer one (18 divisions). We expect the result with more divisions to be more accurate. This theoretical curve will serve as a benchmark for our simulation."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 6,
    "id": "13752370-0e4a-4e9a-84b0-4be6604a4e7d",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-10-14T21:12:36.968381Z",
+     "iopub.status.busy": "2025-10-14T21:12:36.968178Z",
+     "iopub.status.idle": "2025-10-14T21:12:36.982189Z",
+     "shell.execute_reply": "2025-10-14T21:12:36.981890Z",
+     "shell.execute_reply.started": "2025-10-14T21:12:36.968369Z"
+    }
+   },
    "outputs": [],
    "source": [
     "TN.set_divisions(7)\n",
@@ -138,25 +237,35 @@
    "id": "fad5b1f9-6b46-4191-a4f5-5f395bd2c3af",
    "metadata": {},
    "source": [
-    "## Plot"
+    "## Plot and Compare Results\n",
+    "\n",
+    "Finally, we plot the theoretical Gooch-Tarry curve and overlay the results from our two simulations. This visualization allows us to directly compare the numerical results against the analytical solution.\n",
+    "\n",
+    "The plot clearly shows that the simulation with 18 divisions matches the theoretical law almost perfectly. The simulation with only 7 divisions shows noticeable deviation, demonstrating that a sufficient number of sub-layers is crucial for accurately modeling the continuously twisted structure."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 7,
    "id": "00525937-cb15-4a42-9c6b-b2d79b85b66b",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-10-14T21:12:36.982648Z",
+     "iopub.status.busy": "2025-10-14T21:12:36.982539Z",
+     "iopub.status.idle": "2025-10-14T21:12:37.270416Z",
+     "shell.execute_reply": "2025-10-14T21:12:37.270118Z",
+     "shell.execute_reply.started": "2025-10-14T21:12:36.982637Z"
+    }
+   },
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 640x480 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -183,47 +292,53 @@
    "id": "425fbe96-36ef-4ee4-8610-d08d6f07bb5f",
    "metadata": {},
    "source": [
-    "## Plot Structure"
+    "## Visualize the Modeled Structure\n",
+    "\n",
+    "We can also visualize the discretized structure that pyElli uses for the calculation. Below are the representations for both the 7-division and 18-division models. Each segment represents a thin, uniformly oriented sub-layer."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 8,
    "id": "75aadc65-7106-4dde-9145-b52761d9bf9f",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-10-14T21:12:37.270812Z",
+     "iopub.status.busy": "2025-10-14T21:12:37.270712Z",
+     "iopub.status.idle": "2025-10-14T21:12:37.374484Z",
+     "shell.execute_reply": "2025-10-14T21:12:37.374181Z",
+     "shell.execute_reply.started": "2025-10-14T21:12:37.270803Z"
+    }
+   },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<AxesSubplot:xlabel='z (nm)', ylabel=\"n'\">"
+       "<Axes: xlabel='z (nm)', ylabel=\"n'\">"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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ikh6U5BmMnhx12xId8h8YPbVKUg8McWmVSPLbSWa61+1Jrpmj20t5aGUtktyd5M+652xfn+Rx3f6dSd7V7bstyVRGz4K/OcnOWce7Etjc6xeTVjFDXFolqmpbjR7w8RxGq+G9fY5uzwNmP8jikcD1VXUGsBv4rVltJzJaX/wPGIX1XwHPAJ6VZGP3md8Cjk9y8pJ+GUmAIS6tRpcyWq/6I3O0PQE4OOv994Gruu3PAxtmtX2kRks+3gh8s6purKoHgJse1u8A8NNLU7qk2dYcvoukcZHkFcCTgdfO0+UeRmtbH3JfPbQ28w/44b8z7u1+PjBr+9D72f1O6I4raYl5Ji6tEknOAl4P/EZ3xjyXm4GnLOFnBng88NWlOqakhxji0urxWuAk4Jpucttlc/T5F0ZPoloqZzG6p37/Eh5TUsenmEl6UPcs7WuA51XVD5bgeJcCV1bVp465OEk/wjNxSQ+qqnuArcATl+iQew1wqT+eiUuS1CjPxCVJapQhLklSowxxSZIaZYhLktQoQ1ySpEb9P76sjkQCTrSZAAAAAElFTkSuQmCC\n",
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",
       "text/plain": [
-       "<Figure size 576x216 with 1 Axes>"
+       "<Figure size 800x300 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     },
     {
      "data": {
-      "image/png": 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\n",
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",
       "text/plain": [
-       "<Figure size 576x216 with 1 Axes>"
+       "<Figure size 800x300 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -267,7 +382,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.13.7"
   },
   "widgets": {
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diff --git a/examples/Liquid crystals/validation-cholesteric.ipynb b/examples/Liquid crystals/validation-cholesteric.ipynb
deleted file mode 100644
index a856d343..00000000
--- a/examples/Liquid crystals/validation-cholesteric.ipynb	
+++ /dev/null
@@ -1,265 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "d5a18d5e-91e5-45b5-afa1-cb993194b278",
-   "metadata": {},
-   "source": [
-    "# Example of a cholesteric liquid crystal\n",
-    "\n",
-    "Author: O. Castany, C. Molinaro, M. Müller"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "65c2b21c",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import elli\n",
-    "import elli.plot as elliplot\n",
-    "import matplotlib.pyplot as plt\n",
-    "import numpy as np\n",
-    "from numpy.lib.scimath import sqrt\n",
-    "from scipy.constants import c, pi"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "68f65d00",
-   "metadata": {},
-   "source": [
-    "## Set parameters"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "31c30e6e",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Materials\n",
-    "front = back = elli.IsotropicMaterial(elli.ConstantRefractiveIndex(1.6))\n",
-    "\n",
-    "# Liquid crystal oriented along the x direction\n",
-    "(no, ne) = (1.5, 1.7)\n",
-    "Dn = ne - no\n",
-    "n_med = (ne + no) / 2\n",
-    "LC = elli.UniaxialMaterial(\n",
-    "    elli.ConstantRefractiveIndex(no), elli.ConstantRefractiveIndex(ne)\n",
-    ")  #  ne along z\n",
-    "R = elli.rotation_v_theta(elli.E_Y, 90)  #  rotation round y\n",
-    "LC.set_rotation(R)  #  apply rotation from z to x\n",
-    "# Cholesteric pitch:\n",
-    "p = 650\n",
-    "# One half turn of a right-handed helix:\n",
-    "TN = elli.TwistedLayer(LC, p / 2, 25, 180)\n",
-    "\n",
-    "# Inhomogeneous layer, repeated layer, and structure\n",
-    "N = 5  #  number half pitch repetitions\n",
-    "h = N * p / 2\n",
-    "L = elli.RepeatedLayers([TN], N)\n",
-    "s = elli.Structure(front, [L], back)\n",
-    "\n",
-    "# Normal incidence:\n",
-    "Kx = 0.0\n",
-    "\n",
-    "# Calculation parameters\n",
-    "lbda_min, lbda_max = 600, 1500  #  (nm)\n",
-    "lbda = np.linspace(lbda_min, lbda_max, 100)\n",
-    "k0 = 2 * pi / (lbda * 1e-9)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "79dc23b1",
-   "metadata": {
-    "lines_to_next_cell": 0
-   },
-   "source": [
-    "## Analytical calculation for the power reflection coefficient"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "6e07c0cd",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "q = 2 * pi / p / 1e-9\n",
-    "alpha = q / k0\n",
-    "epsilon = (no**2 + ne**2) / 2\n",
-    "delta = (no**2 - ne**2) / 2\n",
-    "n2 = sqrt((alpha**2 + epsilon - sqrt(4 * epsilon * alpha**2 + delta**2)))\n",
-    "w = 1j * (ne**2 - n2**2 - alpha**2) / (2 * alpha * n2)  # not k0/c\n",
-    "A = -2j * k0 * n2 * h * 1e-9\n",
-    "\n",
-    "R_th = (\n",
-    "    np.abs(\n",
-    "        (w**2 + 1)\n",
-    "        * (1 - np.exp(-2j * k0 * n2 * h * 1e-9))\n",
-    "        / (\n",
-    "            2 * w * (1 + np.exp(-2j * k0 * n2 * h * 1e-9))\n",
-    "            - 1j * (w**2 - 1) * (1 - np.exp(-2j * k0 * n2 * h * 1e-9))\n",
-    "        )\n",
-    "    )\n",
-    "    ** 2\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "836228a7",
-   "metadata": {
-    "lines_to_next_cell": 0
-   },
-   "source": [
-    "## Calculation with pyElli"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "d07f0947",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "data = s.evaluate(lbda, 0)\n",
-    "\n",
-    "# Jones matrices for the circular wave basis\n",
-    "# Right-circular wave is reflected in the stop-band\n",
-    "# R_LR, T_LR close to zero\n",
-    "R_RR = data.Rc_RR"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "4f4aa7f7",
-   "metadata": {
-    "lines_to_next_cell": 0
-   },
-   "source": [
-    "## Plotting"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "id": "b2afb496",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fig = plt.figure()\n",
-    "ax = fig.add_subplot(1, 1, 1)\n",
-    "\n",
-    "ax.plot(lbda, R_RR, label=\"R_RR\")\n",
-    "ax.plot(lbda, R_th, \"r\", label=\"R_th\")\n",
-    "\n",
-    "ax.legend(loc=\"center right\", bbox_to_anchor=(1.00, 0.50))\n",
-    "\n",
-    "ax.set_title(\n",
-    "    \"Right-handed Cholesteric Liquid Crystal, \" + \"{:.1f} helix pitches\".format(N / 2.0)\n",
-    ")\n",
-    "ax.set_xlabel(r\"Wavelength $\\lambda_0$ (m)\")\n",
-    "ax.set_ylabel(r\"Power reflexion $R$\")\n",
-    "fmt = ax.xaxis.get_major_formatter()\n",
-    "fmt.set_powerlimits((-3, 3))\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "id": "58f50b36-ac62-45d0-95c4-fe53fa39aa8b",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<AxesSubplot:xlabel='z (nm)', ylabel=\"n'\">"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "<Figure size 576x216 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "elliplot.draw_structure(s)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "784f3dff-5a1e-48e9-91d2-3fbd837f2751",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "jupytext": {
-   "cell_metadata_filter": "-all",
-   "encoding": "# encoding: utf-8",
-   "executable": "/usr/bin/python",
-   "formats": "ipynb,auto:hydrogen",
-   "main_language": "python",
-   "notebook_metadata_filter": "-all"
-  },
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.10.6"
-  },
-  "widgets": {
-   "application/vnd.jupyter.widget-state+json": {
-    "state": {},
-    "version_major": 2,
-    "version_minor": 0
-   }
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/examples/SiO2_Si Mueller Matrix/SiO2_Si Mueller Matrix.ipynb b/examples/SiO2_Si Mueller Matrix/SiO2_Si Mueller Matrix.ipynb
index d3948a33..99025006 100644
--- a/examples/SiO2_Si Mueller Matrix/SiO2_Si Mueller Matrix.ipynb	
+++ b/examples/SiO2_Si Mueller Matrix/SiO2_Si Mueller Matrix.ipynb	
@@ -1,223 +1,1615 @@
 {
-  "cells": [
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "%matplotlib inline"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "\n# Mueller matrix\n\nMueller matrix fit to a SiO2 on Si measurement.\n"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "import elli\nfrom elli.fitting import ParamsHist, fit_mueller_matrix\n\n# sphinx_gallery_thumbnail_path = '_static/mueller_matrix.png'"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "## Read data\n\nWe load the data from an ascii file containing each of the mueller matrix elements.\nThe wavelength range is cut to be in between 210 nm and 820 nm,\nto stay in the range of the provided literature values for Si.\nThe data is expected to be in a pandas dataframe containing the columns Mxy,\nwhere x and y refer to the matrix element inside the mueller matrix.\nThe data is scaled by the M11 element, such that $M_{11} = 1$ for all wavelengths.\nTo show the structure we print the `MM` dataframe.\nIf you load your data from another source make sure it adheres to this form.\n\n"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "MM = elli.read_spectraray_mmatrix(\"Wafer_MM_70.txt\").loc[210:820]\nprint(MM)"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "## Setting start parameters\nHere we set the start parameters for the SiO2 cauchy dispersion\nand thickness of the layer.\n\n"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "params = ParamsHist()\nparams.add(\"SiO2_n0\", value=1.452, min=-100, max=100, vary=True)\nparams.add(\"SiO2_n1\", value=36.0, min=-40000, max=40000, vary=True)\nparams.add(\"SiO2_n2\", value=0, min=-40000, max=40000, vary=True)\nparams.add(\"SiO2_k0\", value=0, min=-100, max=100, vary=True)\nparams.add(\"SiO2_k1\", value=0, min=-40000, max=40000, vary=True)\nparams.add(\"SiO2_k2\", value=0, min=-40000, max=40000, vary=True)\nparams.add(\"SiO2_d\", value=120, min=0, max=40000, vary=True)"
-      ]
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "collapsed": false,
+    "execution": {
+     "iopub.execute_input": "2025-10-14T21:19:33.470318Z",
+     "iopub.status.busy": "2025-10-14T21:19:33.470182Z",
+     "iopub.status.idle": "2025-10-14T21:19:33.764463Z",
+     "shell.execute_reply": "2025-10-14T21:19:33.764147Z",
+     "shell.execute_reply.started": "2025-10-14T21:19:33.470305Z"
     },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "## Load silicon dispersion from the refractiveindexinfo database\nYou can load any material from the index\n[refractiveindex.info](https://refractiveindex.info)_, which is\nembedded into the software (so you may use it offline, too). Here, we\nare interested in the literature values for the silicon substrate.\nFirst we need to load the database with ``rii_db = elli.db.RII()`` and\nthen we can query it with ``rii_db.get_mat(\"Si\", \"Aspnes\")`` to load\nthis\n[entry](https://refractiveindex.info/?shelf=main&book=Si&page=Aspnes)_.\n\n"
-      ]
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [],
+   "source": [
+    "%matplotlib inline"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Mueller matrix\n",
+    "\n",
+    "Exemplary fit of the complete Mueller matrix of a SiO2 on Si measurement."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "collapsed": false,
+    "execution": {
+     "iopub.execute_input": "2025-10-14T21:19:33.764924Z",
+     "iopub.status.busy": "2025-10-14T21:19:33.764780Z",
+     "iopub.status.idle": "2025-10-14T21:19:35.149693Z",
+     "shell.execute_reply": "2025-10-14T21:19:35.149381Z",
+     "shell.execute_reply.started": "2025-10-14T21:19:33.764913Z"
     },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "rii_db = elli.db.RII()\nSi = rii_db.get_mat(\"Si\", \"Aspnes\")"
-      ]
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import elli\n",
+    "from elli.fitting import ParamsHist, fit_mueller_matrix\n",
+    "\n",
+    "# sphinx_gallery_thumbnail_path = '_static/mueller_matrix.png'"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Read data\n",
+    "\n",
+    "We load the data from an ascii file containing each of the mueller matrix elements.\n",
+    "The wavelength range is cut to be in between 210 nm and 820 nm,\n",
+    "to stay in the range of the provided literature values for Si.\n",
+    "The data is expected to be in a pandas dataframe containing the columns Mxy,\n",
+    "where x and y refer to the matrix element inside the mueller matrix.\n",
+    "The data is scaled by the M11 element, such that $M_{11} = 1$ for all wavelengths.\n",
+    "To show the structure we print the `MM` dataframe.\n",
+    "If you load your data from another source make sure it adheres to this form.\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "collapsed": false,
+    "execution": {
+     "iopub.execute_input": "2025-10-14T21:19:35.150191Z",
+     "iopub.status.busy": "2025-10-14T21:19:35.150003Z",
+     "iopub.status.idle": "2025-10-14T21:19:35.226909Z",
+     "shell.execute_reply": "2025-10-14T21:19:35.226472Z",
+     "shell.execute_reply.started": "2025-10-14T21:19:35.150181Z"
     },
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [
     {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "## Building the model\nHere the model is build and the experimental structure is returned.\nFor details on this process please refer to the `Basic usage` example.\nWhen executed in an jupyter notebook this displays an interactive graph\nwith which you can select the start parameters before fitting the data.\n\n"
-      ]
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "            M11      M12      M13      M14      M21      M22      M23  \\\n",
+      "Wavelength                                                              \n",
+      "210.30366   1.0 -0.09147 -0.01241 -0.00614 -0.09605  0.99426 -0.00364   \n",
+      "210.76102   1.0 -0.10879 -0.01151 -0.00901 -0.09754  0.99475 -0.00427   \n",
+      "211.21834   1.0 -0.10639 -0.00694 -0.00475 -0.10761  0.99637 -0.00207   \n",
+      "211.67561   1.0 -0.11544 -0.02094 -0.00348 -0.11467  0.99666 -0.00528   \n",
+      "212.13284   1.0 -0.12199  0.02182  0.00480 -0.12010  0.99680 -0.00437   \n",
+      "...         ...      ...      ...      ...      ...      ...      ...   \n",
+      "818.08934   1.0 -0.44285 -0.00048 -0.00288 -0.44048  0.99630 -0.00189   \n",
+      "818.50589   1.0 -0.44301  0.00376  0.00118 -0.44040  0.99688 -0.00274   \n",
+      "818.92240   1.0 -0.44245  0.00887  0.00626 -0.44024  0.99723 -0.00457   \n",
+      "819.33886   1.0 -0.44406 -0.00646 -0.00610 -0.44126  0.99661  0.00234   \n",
+      "819.75528   1.0 -0.44381  0.01170  0.00550 -0.44135  0.99606 -0.00653   \n",
+      "\n",
+      "                M24      M31      M32      M33      M34      M41      M42  \\\n",
+      "Wavelength                                                                  \n",
+      "210.30366   0.01084 -0.00278 -0.00212  0.27283  0.95555  0.00986  0.00048   \n",
+      "210.76102  -0.00325 -0.00634 -0.00045  0.26726  0.96450  0.00917  0.01319   \n",
+      "211.21834   0.01123 -0.00219  0.00030  0.27280  0.95821  0.00712  0.00891   \n",
+      "211.67561   0.00575 -0.00226  0.00313  0.26623  0.95672  0.01877  0.01726   \n",
+      "212.13284   0.00763  0.00211  0.00208  0.26903  0.95963 -0.01790 -0.01957   \n",
+      "...             ...      ...      ...      ...      ...      ...      ...   \n",
+      "818.08934   0.00058 -0.00042 -0.00055  0.16295  0.87703  0.00292 -0.00276   \n",
+      "818.50589  -0.00052  0.00047 -0.00056  0.16345  0.87632 -0.00159 -0.01090   \n",
+      "818.92240  -0.00263  0.00055 -0.00180  0.16236  0.87712 -0.00585 -0.01388   \n",
+      "819.33886   0.00227 -0.00105 -0.00042  0.16271  0.87629  0.00882  0.00424   \n",
+      "819.75528  -0.00311  0.00037  0.00037  0.16255  0.87661 -0.00692 -0.01260   \n",
+      "\n",
+      "                M43      M44  \n",
+      "Wavelength                    \n",
+      "210.30366  -0.95574  0.25821  \n",
+      "210.76102  -0.96899  0.24432  \n",
+      "211.21834  -0.96191  0.24986  \n",
+      "211.67561  -0.95951  0.25408  \n",
+      "212.13284  -0.95493  0.28308  \n",
+      "...             ...      ...  \n",
+      "818.08934  -0.87949  0.15713  \n",
+      "818.50589  -0.87876  0.16422  \n",
+      "818.92240  -0.87960  0.16743  \n",
+      "819.33886  -0.87907  0.15105  \n",
+      "819.75528  -0.87849  0.16637  \n",
+      "\n",
+      "[1396 rows x 16 columns]\n"
+     ]
+    }
+   ],
+   "source": [
+    "MM = elli.read_spectraray_mmatrix(\"Wafer_MM_70.txt\").loc[210:820]\n",
+    "print(MM)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Setting start parameters\n",
+    "Here we set the start parameters for the SiO2 cauchy dispersion\n",
+    "and thickness of the layer.\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "collapsed": false,
+    "execution": {
+     "iopub.execute_input": "2025-10-14T21:19:35.227631Z",
+     "iopub.status.busy": "2025-10-14T21:19:35.227333Z",
+     "iopub.status.idle": "2025-10-14T21:19:35.230434Z",
+     "shell.execute_reply": "2025-10-14T21:19:35.230135Z",
+     "shell.execute_reply.started": "2025-10-14T21:19:35.227617Z"
     },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "@fit_mueller_matrix(MM, params, display_single=False, sharex=True, full_scale=False)\ndef model(lbda, params):\n    SiO2 = elli.Cauchy(\n        params[\"SiO2_n0\"],\n        params[\"SiO2_n1\"],\n        params[\"SiO2_n2\"],\n        params[\"SiO2_k0\"],\n        params[\"SiO2_k1\"],\n        params[\"SiO2_k2\"],\n    ).get_mat()\n\n    Layer = [elli.Layer(SiO2, params[\"SiO2_d\"])]\n\n    return elli.Structure(elli.AIR, Layer, Si).evaluate(\n        lbda, 70, solver=elli.Solver4x4, propagator=elli.PropagatorExpm()\n    )"
-      ]
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [],
+   "source": [
+    "params = ParamsHist()\n",
+    "params.add(\"SiO2_n0\", value=1.452, min=-100, max=100, vary=True)\n",
+    "params.add(\"SiO2_n1\", value=36.0, min=-40000, max=40000, vary=True)\n",
+    "params.add(\"SiO2_n2\", value=0, min=-40000, max=40000, vary=True)\n",
+    "params.add(\"SiO2_k0\", value=0, min=-100, max=100, vary=True)\n",
+    "params.add(\"SiO2_k1\", value=0, min=-40000, max=40000, vary=True)\n",
+    "params.add(\"SiO2_k2\", value=0, min=-40000, max=40000, vary=True)\n",
+    "params.add(\"SiO2_d\", value=120, min=0, max=40000, vary=True)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Load silicon dispersion from the refractiveindexinfo database\n",
+    "You can load any material from the index\n",
+    "[refractiveindex.info](https://refractiveindex.info)_, which is\n",
+    "embedded into the software (so you may use it offline, too). Here, we\n",
+    "are interested in the literature values for the silicon substrate.\n",
+    "First we need to load the database with ``rii_db = elli.db.RII()`` and\n",
+    "then we can query it with ``rii_db.get_mat(\"Si\", \"Aspnes\")`` to load\n",
+    "this\n",
+    "[entry](https://refractiveindex.info/?shelf=main&book=Si&page=Aspnes)_.\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "collapsed": false,
+    "execution": {
+     "iopub.execute_input": "2025-10-14T21:19:35.230904Z",
+     "iopub.status.busy": "2025-10-14T21:19:35.230802Z",
+     "iopub.status.idle": "2025-10-14T21:19:35.846876Z",
+     "shell.execute_reply": "2025-10-14T21:19:35.846549Z",
+     "shell.execute_reply.started": "2025-10-14T21:19:35.230894Z"
     },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "## Plot & Fit the model\nHere we plot the model at the initial parameter set vs. the experimental data.\n\n"
-      ]
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [],
+   "source": [
+    "rii_db = elli.db.RII()\n",
+    "Si = rii_db.get_mat(\"Si\", \"Aspnes\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Building the model\n",
+    "Here the model is build and the experimental structure is returned.\n",
+    "For details on this process please refer to the `Basic usage` example.\n",
+    "When executed in an jupyter notebook this displays an interactive graph\n",
+    "with which you can select the start parameters before fitting the data.\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "collapsed": false,
+    "execution": {
+     "iopub.execute_input": "2025-10-14T21:19:35.847942Z",
+     "iopub.status.busy": "2025-10-14T21:19:35.847795Z",
+     "iopub.status.idle": "2025-10-14T21:19:36.044003Z",
+     "shell.execute_reply": "2025-10-14T21:19:36.043709Z",
+     "shell.execute_reply.started": "2025-10-14T21:19:35.847925Z"
     },
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [
     {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "2ec838ca53a649e49e68ec44f0423058",
+       "version_major": 2,
+       "version_minor": 0
       },
-      "outputs": [],
-      "source": [
-        "model.plot()"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "We can also plot the residual between measurement and model.\n\n"
+      "text/plain": [
+       "VBox(children=(HBox(children=(HBox(children=(BoundedFloatText(value=1.452, description='SiO2_n0', min=-100.0),…"
       ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "@fit_mueller_matrix(MM, params, display_single=False, sharex=True, full_scale=False)\n",
+    "def model(lbda, params):\n",
+    "    SiO2 = elli.Cauchy(\n",
+    "        params[\"SiO2_n0\"],\n",
+    "        params[\"SiO2_n1\"],\n",
+    "        params[\"SiO2_n2\"],\n",
+    "        params[\"SiO2_k0\"],\n",
+    "        params[\"SiO2_k1\"],\n",
+    "        params[\"SiO2_k2\"],\n",
+    "    ).get_mat()\n",
+    "\n",
+    "    Layer = [elli.Layer(SiO2, params[\"SiO2_d\"])]\n",
+    "\n",
+    "    return elli.Structure(elli.AIR, Layer, Si).evaluate(\n",
+    "        lbda, 70, solver=elli.Solver4x4, propagator=elli.PropagatorExpm()\n",
+    "    )"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Plot & Fit the model\n",
+    "Here we plot the model at the initial parameter set vs. the experimental data.\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "collapsed": false,
+    "execution": {
+     "iopub.execute_input": "2025-10-14T21:19:36.044500Z",
+     "iopub.status.busy": "2025-10-14T21:19:36.044386Z",
+     "iopub.status.idle": "2025-10-14T21:19:36.128974Z",
+     "shell.execute_reply": "2025-10-14T21:19:36.128537Z",
+     "shell.execute_reply.started": "2025-10-14T21:19:36.044489Z"
     },
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [
     {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "c2df816fc3fb446180bd40a80702ac81",
+       "version_major": 2,
+       "version_minor": 0
       },
-      "outputs": [],
-      "source": [
-        "model.plot_residual()"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "Now we execute a fit and plot the model afterwards.\n\n"
+      "text/plain": [
+       "FigureWidget({\n",
+       "    'data': [{'line': {'color': '#636EFA', 'dash': 'solid'},\n",
+       "              'name': 'M11 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '26152dd8-d954-4239-bd02-e6c7c23ea803',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x',\n",
+       "              'y': array([1., 1., 1., ..., 1., 1., 1.], shape=(1396,)),\n",
+       "              'yaxis': 'y'},\n",
+       "             {'line': {'color': '#636EFA', 'dash': 'dash'},\n",
+       "              'name': 'M11 theory',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '04e82865-c248-4050-b290-24b784d4ad85',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x',\n",
+       "              'y': array([1., 1., 1., ..., 1., 1., 1.], shape=(1396,)),\n",
+       "              'yaxis': 'y'},\n",
+       "             {'line': {'color': '#EF553B', 'dash': 'solid'},\n",
+       "              'name': 'M12 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': 'ea4e44c0-93f4-4a81-958a-4d669b52ca87',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x2',\n",
+       "              'y': array([-0.09147, -0.10879, -0.10639, ..., -0.44245, -0.44406, -0.44381],\n",
+       "                         shape=(1396,)),\n",
+       "              'yaxis': 'y2'},\n",
+       "             {'line': {'color': '#EF553B', 'dash': 'dash'},\n",
+       "              'name': 'M12 theory',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': 'bbec2de6-de3c-4f7a-9065-acb33356bbe2',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x2',\n",
+       "              'y': array([ 0.48855385,  0.48240998,  0.47406745, ..., -0.27742534, -0.27818747,\n",
+       "                          -0.27894785], shape=(1396,)),\n",
+       "              'yaxis': 'y2'},\n",
+       "             {'line': {'color': '#00CC96', 'dash': 'solid'},\n",
+       "              'name': 'M13 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': 'facfdc84-cd3b-44fb-beb7-2d07d12d0d27',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x3',\n",
+       "              'y': array([-0.01241, -0.01151, -0.00694, ...,  0.00887, -0.00646,  0.0117 ],\n",
+       "                         shape=(1396,)),\n",
+       "              'yaxis': 'y3'},\n",
+       "             {'line': {'color': '#00CC96', 'dash': 'dash'},\n",
+       "              'name': 'M13 theory',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '103a8f55-befd-49a4-aa3f-045c5f4e196d',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x3',\n",
+       "              'y': array([0., 0., 0., ..., 0., 0., 0.], shape=(1396,)),\n",
+       "              'yaxis': 'y3'},\n",
+       "             {'line': {'color': '#AB63FA', 'dash': 'solid'},\n",
+       "              'name': 'M14 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '69e72709-3c1a-4edf-b0a6-ac294952a73b',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x4',\n",
+       "              'y': array([-0.00614, -0.00901, -0.00475, ...,  0.00626, -0.0061 ,  0.0055 ],\n",
+       "                         shape=(1396,)),\n",
+       "              'yaxis': 'y4'},\n",
+       "             {'line': {'color': '#AB63FA', 'dash': 'dash'},\n",
+       "              'name': 'M14 theory',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '648bb6cd-d6ae-4bf2-81f4-2abbae3e354e',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x4',\n",
+       "              'y': array([0., 0., 0., ..., 0., 0., 0.], shape=(1396,)),\n",
+       "              'yaxis': 'y4'},\n",
+       "             {'line': {'color': '#FFA15A', 'dash': 'solid'},\n",
+       "              'name': 'M21 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': 'd47f5967-4276-4740-8871-251937abdbc0',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x5',\n",
+       "              'y': array([-0.09605, -0.09754, -0.10761, ..., -0.44024, -0.44126, -0.44135],\n",
+       "                         shape=(1396,)),\n",
+       "              'yaxis': 'y5'},\n",
+       "             {'line': {'color': '#FFA15A', 'dash': 'dash'},\n",
+       "              'name': 'M21 theory',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '8f50d79b-2865-4d43-9871-177cccec0283',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x5',\n",
+       "              'y': array([ 0.48855385,  0.48240998,  0.47406745, ..., -0.27742534, -0.27818747,\n",
+       "                          -0.27894785], shape=(1396,)),\n",
+       "              'yaxis': 'y5'},\n",
+       "             {'line': {'color': '#19D3F3', 'dash': 'solid'},\n",
+       "              'name': 'M22 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '228d90d0-c850-4520-ba26-07f5a91ad46c',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x6',\n",
+       "              'y': array([0.99426, 0.99475, 0.99637, ..., 0.99723, 0.99661, 0.99606],\n",
+       "                         shape=(1396,)),\n",
+       "              'yaxis': 'y6'},\n",
+       "             {'line': {'color': '#19D3F3', 'dash': 'dash'},\n",
+       "              'name': 'M22 theory',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '3ac11c5c-5633-40a0-9945-7b07abaf0e4f',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x6',\n",
+       "              'y': array([1., 1., 1., ..., 1., 1., 1.], shape=(1396,)),\n",
+       "              'yaxis': 'y6'},\n",
+       "             {'line': {'color': '#FF6692', 'dash': 'solid'},\n",
+       "              'name': 'M23 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': 'ac269720-21c6-4dc5-9744-3361d875bf52',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x7',\n",
+       "              'y': array([-0.00364, -0.00427, -0.00207, ..., -0.00457,  0.00234, -0.00653],\n",
+       "                         shape=(1396,)),\n",
+       "              'yaxis': 'y7'},\n",
+       "             {'line': {'color': '#FF6692', 'dash': 'dash'},\n",
+       "              'name': 'M23 theory',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': 'bf29e60e-c037-4882-88ae-b10a17fdaefc',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x7',\n",
+       "              'y': array([0., 0., 0., ..., 0., 0., 0.], shape=(1396,)),\n",
+       "              'yaxis': 'y7'},\n",
+       "             {'line': {'color': '#B6E880', 'dash': 'solid'},\n",
+       "              'name': 'M24 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '7872731f-db6a-4e08-84d3-3ef268634304',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x8',\n",
+       "              'y': array([ 0.01084, -0.00325,  0.01123, ..., -0.00263,  0.00227, -0.00311],\n",
+       "                         shape=(1396,)),\n",
+       "              'yaxis': 'y8'},\n",
+       "             {'line': {'color': '#B6E880', 'dash': 'dash'},\n",
+       "              'name': 'M24 theory',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '3fcb7308-17ba-4575-908e-3d456a5e7295',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x8',\n",
+       "              'y': array([0., 0., 0., ..., 0., 0., 0.], shape=(1396,)),\n",
+       "              'yaxis': 'y8'},\n",
+       "             {'line': {'color': '#FF97FF', 'dash': 'solid'},\n",
+       "              'name': 'M31 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': 'dcbc4c6c-3991-416a-a5d1-a0d8ca76033b',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x9',\n",
+       "              'y': array([-0.00278, -0.00634, -0.00219, ...,  0.00055, -0.00105,  0.00037],\n",
+       "                         shape=(1396,)),\n",
+       "              'yaxis': 'y9'},\n",
+       "             {'line': {'color': '#FF97FF', 'dash': 'dash'},\n",
+       "              'name': 'M31 theory',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '9b9614d4-a003-4f32-9b4d-fa82a56d1e89',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x9',\n",
+       "              'y': array([0., 0., 0., ..., 0., 0., 0.], shape=(1396,)),\n",
+       "              'yaxis': 'y9'},\n",
+       "             {'line': {'color': '#FECB52', 'dash': 'solid'},\n",
+       "              'name': 'M32 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': 'adedff3e-aa37-4677-838b-2d9f070e9bbd',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x10',\n",
+       "              'y': array([-0.00212, -0.00045,  0.0003 , ..., -0.0018 , -0.00042,  0.00037],\n",
+       "                         shape=(1396,)),\n",
+       "              'yaxis': 'y10'},\n",
+       "             {'line': {'color': '#FECB52', 'dash': 'dash'},\n",
+       "              'name': 'M32 theory',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '88085b35-f527-4146-baa6-f2c1b46544a6',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x10',\n",
+       "              'y': array([0., 0., 0., ..., 0., 0., 0.], shape=(1396,)),\n",
+       "              'yaxis': 'y10'},\n",
+       "             {'line': {'color': '#636EFA', 'dash': 'solid'},\n",
+       "              'name': 'M33 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': 'd0a19b00-50c3-4bff-80c4-431458cb0908',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x11',\n",
+       "              'y': array([0.27283, 0.26726, 0.2728 , ..., 0.16236, 0.16271, 0.16255],\n",
+       "                         shape=(1396,)),\n",
+       "              'yaxis': 'y11'},\n",
+       "             {'line': {'color': '#636EFA', 'dash': 'dash'},\n",
+       "              'name': 'M33 theory',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '9c4c6431-280b-48cb-bb0d-f791f3a6f95d',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x11',\n",
+       "              'y': array([-0.78177026, -0.75168899, -0.71871123, ...,  0.20163327,  0.20156999,\n",
+       "                           0.20150625], shape=(1396,)),\n",
+       "              'yaxis': 'y11'},\n",
+       "             {'line': {'color': '#EF553B', 'dash': 'solid'},\n",
+       "              'name': 'M34 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': 'a14e3e4d-1e70-406a-9f2b-56cee8c8c702',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x12',\n",
+       "              'y': array([0.95555, 0.9645 , 0.95821, ..., 0.87712, 0.87629, 0.87661],\n",
+       "                         shape=(1396,)),\n",
+       "              'yaxis': 'y12'},\n",
+       "             {'line': {'color': '#EF553B', 'dash': 'dash'},\n",
+       "              'name': 'M34 theory',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '39096f30-d5dd-4f40-8b1a-f8c42c9103ee',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x12',\n",
+       "              'y': array([0.38749245, 0.44971578, 0.50863958, ..., 0.93935042, 0.93913858,\n",
+       "                          0.93892669], shape=(1396,)),\n",
+       "              'yaxis': 'y12'},\n",
+       "             {'line': {'color': '#00CC96', 'dash': 'solid'},\n",
+       "              'name': 'M41 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '4531274f-e55f-4e3e-9d45-891c7a7eaae9',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x13',\n",
+       "              'y': array([ 0.00986,  0.00917,  0.00712, ..., -0.00585,  0.00882, -0.00692],\n",
+       "                         shape=(1396,)),\n",
+       "              'yaxis': 'y13'},\n",
+       "             {'line': {'color': '#00CC96', 'dash': 'dash'},\n",
+       "              'name': 'M41 theory',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '512caca2-3815-4425-ab36-befdc905b548',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x13',\n",
+       "              'y': array([0., 0., 0., ..., 0., 0., 0.], shape=(1396,)),\n",
+       "              'yaxis': 'y13'},\n",
+       "             {'line': {'color': '#AB63FA', 'dash': 'solid'},\n",
+       "              'name': 'M42 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': 'd9e7018f-738a-402c-8872-bbbd72deebda',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x14',\n",
+       "              'y': array([ 0.00048,  0.01319,  0.00891, ..., -0.01388,  0.00424, -0.0126 ],\n",
+       "                         shape=(1396,)),\n",
+       "              'yaxis': 'y14'},\n",
+       "             {'line': {'color': '#AB63FA', 'dash': 'dash'},\n",
+       "              'name': 'M42 theory',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '5577b2c2-4951-4f6a-b62a-7365370f528b',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x14',\n",
+       "              'y': array([0., 0., 0., ..., 0., 0., 0.], shape=(1396,)),\n",
+       "              'yaxis': 'y14'},\n",
+       "             {'line': {'color': '#FFA15A', 'dash': 'solid'},\n",
+       "              'name': 'M43 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': 'ac42585a-a597-462b-8406-dcfd0fa8775d',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x15',\n",
+       "              'y': array([-0.95574, -0.96899, -0.96191, ..., -0.8796 , -0.87907, -0.87849],\n",
+       "                         shape=(1396,)),\n",
+       "              'yaxis': 'y15'},\n",
+       "             {'line': {'color': '#FFA15A', 'dash': 'dash'},\n",
+       "              'name': 'M43 theory',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '9321087d-5765-4e5f-b393-bca247aee7de',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x15',\n",
+       "              'y': array([-0.38749245, -0.44971578, -0.50863958, ..., -0.93935042, -0.93913858,\n",
+       "                          -0.93892669], shape=(1396,)),\n",
+       "              'yaxis': 'y15'},\n",
+       "             {'line': {'color': '#19D3F3', 'dash': 'solid'},\n",
+       "              'name': 'M44 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '0ac111b2-f43e-4357-90d3-802f223b800c',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x16',\n",
+       "              'y': array([0.25821, 0.24432, 0.24986, ..., 0.16743, 0.15105, 0.16637],\n",
+       "                         shape=(1396,)),\n",
+       "              'yaxis': 'y16'},\n",
+       "             {'line': {'color': '#19D3F3', 'dash': 'dash'},\n",
+       "              'name': 'M44 theory',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '5cb56529-8ad5-4d6d-b9d7-10597f9822ad',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x16',\n",
+       "              'y': array([-0.78177026, -0.75168899, -0.71871123, ...,  0.20163327,  0.20156999,\n",
+       "                           0.20150625], shape=(1396,)),\n",
+       "              'yaxis': 'y16'}],\n",
+       "    'layout': {'template': '...',\n",
+       "               'xaxis': {'anchor': 'y', 'domain': [0.0, 0.2125], 'matches': 'x'},\n",
+       "               'xaxis10': {'anchor': 'y10', 'domain': [0.2625, 0.475], 'matches': 'x'},\n",
+       "               'xaxis11': {'anchor': 'y11', 'domain': [0.525, 0.7375], 'matches': 'x'},\n",
+       "               'xaxis12': {'anchor': 'y12', 'domain': [0.7875, 1.0], 'matches': 'x'},\n",
+       "               'xaxis13': {'anchor': 'y13', 'domain': [0.0, 0.2125], 'matches': 'x'},\n",
+       "               'xaxis14': {'anchor': 'y14', 'domain': [0.2625, 0.475], 'matches': 'x'},\n",
+       "               'xaxis15': {'anchor': 'y15', 'domain': [0.525, 0.7375], 'matches': 'x'},\n",
+       "               'xaxis16': {'anchor': 'y16', 'domain': [0.7875, 1.0], 'matches': 'x'},\n",
+       "               'xaxis2': {'anchor': 'y2', 'domain': [0.2625, 0.475], 'matches': 'x'},\n",
+       "               'xaxis3': {'anchor': 'y3', 'domain': [0.525, 0.7375], 'matches': 'x'},\n",
+       "               'xaxis4': {'anchor': 'y4', 'domain': [0.7875, 1.0], 'matches': 'x'},\n",
+       "               'xaxis5': {'anchor': 'y5', 'domain': [0.0, 0.2125], 'matches': 'x'},\n",
+       "               'xaxis6': {'anchor': 'y6', 'domain': [0.2625, 0.475], 'matches': 'x'},\n",
+       "               'xaxis7': {'anchor': 'y7', 'domain': [0.525, 0.7375], 'matches': 'x'},\n",
+       "               'xaxis8': {'anchor': 'y8', 'domain': [0.7875, 1.0], 'matches': 'x'},\n",
+       "               'xaxis9': {'anchor': 'y9', 'domain': [0.0, 0.2125], 'matches': 'x'},\n",
+       "               'yaxis': {'anchor': 'x', 'domain': [0.80625, 1.0]},\n",
+       "               'yaxis10': {'anchor': 'x10', 'domain': [0.26875, 0.4625]},\n",
+       "               'yaxis11': {'anchor': 'x11', 'domain': [0.26875, 0.4625]},\n",
+       "               'yaxis12': {'anchor': 'x12', 'domain': [0.26875, 0.4625]},\n",
+       "               'yaxis13': {'anchor': 'x13', 'domain': [0.0, 0.19375]},\n",
+       "               'yaxis14': {'anchor': 'x14', 'domain': [0.0, 0.19375]},\n",
+       "               'yaxis15': {'anchor': 'x15', 'domain': [0.0, 0.19375]},\n",
+       "               'yaxis16': {'anchor': 'x16', 'domain': [0.0, 0.19375]},\n",
+       "               'yaxis2': {'anchor': 'x2', 'domain': [0.80625, 1.0]},\n",
+       "               'yaxis3': {'anchor': 'x3', 'domain': [0.80625, 1.0]},\n",
+       "               'yaxis4': {'anchor': 'x4', 'domain': [0.80625, 1.0]},\n",
+       "               'yaxis5': {'anchor': 'x5', 'domain': [0.5375, 0.73125]},\n",
+       "               'yaxis6': {'anchor': 'x6', 'domain': [0.5375, 0.73125]},\n",
+       "               'yaxis7': {'anchor': 'x7', 'domain': [0.5375, 0.73125]},\n",
+       "               'yaxis8': {'anchor': 'x8', 'domain': [0.5375, 0.73125]},\n",
+       "               'yaxis9': {'anchor': 'x9', 'domain': [0.26875, 0.4625]}}\n",
+       "})"
       ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "model.plot()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can also plot the residual between measurement and model.\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {
+    "collapsed": false,
+    "execution": {
+     "iopub.execute_input": "2025-10-14T21:19:36.129614Z",
+     "iopub.status.busy": "2025-10-14T21:19:36.129448Z",
+     "iopub.status.idle": "2025-10-14T21:19:36.200322Z",
+     "shell.execute_reply": "2025-10-14T21:19:36.200019Z",
+     "shell.execute_reply.started": "2025-10-14T21:19:36.129598Z"
     },
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [
     {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "d9c67d2efe114adb94ac64b08a59af9c",
+       "version_major": 2,
+       "version_minor": 0
       },
-      "outputs": [],
-      "source": [
-        "fit_stats = model.fit()\nmodel.plot(full_scale=False)"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "For comparison we plot the residual again to have a figure of merit\nfor the fit quality\n\n"
+      "text/plain": [
+       "FigureWidget({\n",
+       "    'data': [{'line': {'color': '#636EFA', 'dash': 'solid'},\n",
+       "              'name': 'M11 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': 'fcb845dd-761b-4cc0-9265-43d204f7570e',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x',\n",
+       "              'y': array([0., 0., 0., ..., 0., 0., 0.], shape=(1396,)),\n",
+       "              'yaxis': 'y'},\n",
+       "             {'line': {'color': '#EF553B', 'dash': 'solid'},\n",
+       "              'name': 'M12 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '5b63291e-83f0-4cb3-bc2f-5e8739d6d663',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x2',\n",
+       "              'y': array([0.58002385, 0.59119998, 0.58045745, ..., 0.16502466, 0.16587253,\n",
+       "                          0.16486215], shape=(1396,)),\n",
+       "              'yaxis': 'y2'},\n",
+       "             {'line': {'color': '#00CC96', 'dash': 'solid'},\n",
+       "              'name': 'M13 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '4cb58d5c-f0c6-40b2-868a-ad818fc8bdab',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x3',\n",
+       "              'y': array([ 0.01241,  0.01151,  0.00694, ..., -0.00887,  0.00646, -0.0117 ],\n",
+       "                         shape=(1396,)),\n",
+       "              'yaxis': 'y3'},\n",
+       "             {'line': {'color': '#AB63FA', 'dash': 'solid'},\n",
+       "              'name': 'M14 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': 'd87e7b3a-9d2f-4688-b9e1-a3abf905985a',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x4',\n",
+       "              'y': array([ 0.00614,  0.00901,  0.00475, ..., -0.00626,  0.0061 , -0.0055 ],\n",
+       "                         shape=(1396,)),\n",
+       "              'yaxis': 'y4'},\n",
+       "             {'line': {'color': '#FFA15A', 'dash': 'solid'},\n",
+       "              'name': 'M21 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': 'aeb5ddb0-c81c-415d-a591-65014e4acc13',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x5',\n",
+       "              'y': array([0.58460385, 0.57994998, 0.58167745, ..., 0.16281466, 0.16307253,\n",
+       "                          0.16240215], shape=(1396,)),\n",
+       "              'yaxis': 'y5'},\n",
+       "             {'line': {'color': '#19D3F3', 'dash': 'solid'},\n",
+       "              'name': 'M22 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '812a3bdb-c4ea-4b71-9d0c-e35d363110da',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x6',\n",
+       "              'y': array([0.00574, 0.00525, 0.00363, ..., 0.00277, 0.00339, 0.00394],\n",
+       "                         shape=(1396,)),\n",
+       "              'yaxis': 'y6'},\n",
+       "             {'line': {'color': '#FF6692', 'dash': 'solid'},\n",
+       "              'name': 'M23 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '449bfbb8-0fc9-49e4-a7a1-8d0847a8d4bc',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x7',\n",
+       "              'y': array([ 0.00364,  0.00427,  0.00207, ...,  0.00457, -0.00234,  0.00653],\n",
+       "                         shape=(1396,)),\n",
+       "              'yaxis': 'y7'},\n",
+       "             {'line': {'color': '#B6E880', 'dash': 'solid'},\n",
+       "              'name': 'M24 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '5c380ca2-14d4-4482-b097-fe9ed71d9d20',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x8',\n",
+       "              'y': array([-0.01084,  0.00325, -0.01123, ...,  0.00263, -0.00227,  0.00311],\n",
+       "                         shape=(1396,)),\n",
+       "              'yaxis': 'y8'},\n",
+       "             {'line': {'color': '#FF97FF', 'dash': 'solid'},\n",
+       "              'name': 'M31 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '9111f889-2a6e-4310-96e2-26cf99ba5e41',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x9',\n",
+       "              'y': array([ 0.00278,  0.00634,  0.00219, ..., -0.00055,  0.00105, -0.00037],\n",
+       "                         shape=(1396,)),\n",
+       "              'yaxis': 'y9'},\n",
+       "             {'line': {'color': '#FECB52', 'dash': 'solid'},\n",
+       "              'name': 'M32 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': 'f82420f2-414e-49c2-b74a-00d904ee3f0d',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x10',\n",
+       "              'y': array([ 0.00212,  0.00045, -0.0003 , ...,  0.0018 ,  0.00042, -0.00037],\n",
+       "                         shape=(1396,)),\n",
+       "              'yaxis': 'y10'},\n",
+       "             {'line': {'color': '#636EFA', 'dash': 'solid'},\n",
+       "              'name': 'M33 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': 'fa8a631a-db53-4fd9-8840-6f8b4567a474',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x11',\n",
+       "              'y': array([-1.05460026, -1.01894899, -0.99151123, ...,  0.03927327,  0.03885999,\n",
+       "                           0.03895625], shape=(1396,)),\n",
+       "              'yaxis': 'y11'},\n",
+       "             {'line': {'color': '#EF553B', 'dash': 'solid'},\n",
+       "              'name': 'M34 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': 'eed738b9-e862-46c5-907e-9ec8bb1ceec7',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x12',\n",
+       "              'y': array([-0.56805755, -0.51478422, -0.44957042, ...,  0.06223042,  0.06284858,\n",
+       "                           0.06231669], shape=(1396,)),\n",
+       "              'yaxis': 'y12'},\n",
+       "             {'line': {'color': '#00CC96', 'dash': 'solid'},\n",
+       "              'name': 'M41 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': 'c8a78f8a-56f2-4ba5-8a40-b83080a0ddf4',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x13',\n",
+       "              'y': array([-0.00986, -0.00917, -0.00712, ...,  0.00585, -0.00882,  0.00692],\n",
+       "                         shape=(1396,)),\n",
+       "              'yaxis': 'y13'},\n",
+       "             {'line': {'color': '#AB63FA', 'dash': 'solid'},\n",
+       "              'name': 'M42 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': 'a9ea256a-49a3-4d9b-a577-8bfd9560273f',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x14',\n",
+       "              'y': array([-0.00048, -0.01319, -0.00891, ...,  0.01388, -0.00424,  0.0126 ],\n",
+       "                         shape=(1396,)),\n",
+       "              'yaxis': 'y14'},\n",
+       "             {'line': {'color': '#FFA15A', 'dash': 'solid'},\n",
+       "              'name': 'M43 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': 'fd6f6ead-7bf5-4b5d-b9cb-649f41e78b1e',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x15',\n",
+       "              'y': array([ 0.56824755,  0.51927422,  0.45327042, ..., -0.05975042, -0.06006858,\n",
+       "                          -0.06043669], shape=(1396,)),\n",
+       "              'yaxis': 'y15'},\n",
+       "             {'line': {'color': '#19D3F3', 'dash': 'solid'},\n",
+       "              'name': 'M44 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '79826b7b-d25b-4ac3-9b6a-b3c84717f4eb',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x16',\n",
+       "              'y': array([-1.03998026, -0.99600899, -0.96857123, ...,  0.03420327,  0.05051999,\n",
+       "                           0.03513625], shape=(1396,)),\n",
+       "              'yaxis': 'y16'}],\n",
+       "    'layout': {'template': '...',\n",
+       "               'xaxis': {'anchor': 'y', 'domain': [0.0, 0.2125], 'matches': 'x'},\n",
+       "               'xaxis10': {'anchor': 'y10', 'domain': [0.2625, 0.475], 'matches': 'x'},\n",
+       "               'xaxis11': {'anchor': 'y11', 'domain': [0.525, 0.7375], 'matches': 'x'},\n",
+       "               'xaxis12': {'anchor': 'y12', 'domain': [0.7875, 1.0], 'matches': 'x'},\n",
+       "               'xaxis13': {'anchor': 'y13', 'domain': [0.0, 0.2125], 'matches': 'x'},\n",
+       "               'xaxis14': {'anchor': 'y14', 'domain': [0.2625, 0.475], 'matches': 'x'},\n",
+       "               'xaxis15': {'anchor': 'y15', 'domain': [0.525, 0.7375], 'matches': 'x'},\n",
+       "               'xaxis16': {'anchor': 'y16', 'domain': [0.7875, 1.0], 'matches': 'x'},\n",
+       "               'xaxis2': {'anchor': 'y2', 'domain': [0.2625, 0.475], 'matches': 'x'},\n",
+       "               'xaxis3': {'anchor': 'y3', 'domain': [0.525, 0.7375], 'matches': 'x'},\n",
+       "               'xaxis4': {'anchor': 'y4', 'domain': [0.7875, 1.0], 'matches': 'x'},\n",
+       "               'xaxis5': {'anchor': 'y5', 'domain': [0.0, 0.2125], 'matches': 'x'},\n",
+       "               'xaxis6': {'anchor': 'y6', 'domain': [0.2625, 0.475], 'matches': 'x'},\n",
+       "               'xaxis7': {'anchor': 'y7', 'domain': [0.525, 0.7375], 'matches': 'x'},\n",
+       "               'xaxis8': {'anchor': 'y8', 'domain': [0.7875, 1.0], 'matches': 'x'},\n",
+       "               'xaxis9': {'anchor': 'y9', 'domain': [0.0, 0.2125], 'matches': 'x'},\n",
+       "               'yaxis': {'anchor': 'x', 'domain': [0.80625, 1.0]},\n",
+       "               'yaxis10': {'anchor': 'x10', 'domain': [0.26875, 0.4625]},\n",
+       "               'yaxis11': {'anchor': 'x11', 'domain': [0.26875, 0.4625]},\n",
+       "               'yaxis12': {'anchor': 'x12', 'domain': [0.26875, 0.4625]},\n",
+       "               'yaxis13': {'anchor': 'x13', 'domain': [0.0, 0.19375]},\n",
+       "               'yaxis14': {'anchor': 'x14', 'domain': [0.0, 0.19375]},\n",
+       "               'yaxis15': {'anchor': 'x15', 'domain': [0.0, 0.19375]},\n",
+       "               'yaxis16': {'anchor': 'x16', 'domain': [0.0, 0.19375]},\n",
+       "               'yaxis2': {'anchor': 'x2', 'domain': [0.80625, 1.0]},\n",
+       "               'yaxis3': {'anchor': 'x3', 'domain': [0.80625, 1.0]},\n",
+       "               'yaxis4': {'anchor': 'x4', 'domain': [0.80625, 1.0]},\n",
+       "               'yaxis5': {'anchor': 'x5', 'domain': [0.5375, 0.73125]},\n",
+       "               'yaxis6': {'anchor': 'x6', 'domain': [0.5375, 0.73125]},\n",
+       "               'yaxis7': {'anchor': 'x7', 'domain': [0.5375, 0.73125]},\n",
+       "               'yaxis8': {'anchor': 'x8', 'domain': [0.5375, 0.73125]},\n",
+       "               'yaxis9': {'anchor': 'x9', 'domain': [0.26875, 0.4625]}}\n",
+       "})"
       ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "model.plot_residual()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now we execute a fit and plot the model afterwards.\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {
+    "collapsed": false,
+    "execution": {
+     "iopub.execute_input": "2025-10-14T21:19:36.200792Z",
+     "iopub.status.busy": "2025-10-14T21:19:36.200662Z",
+     "iopub.status.idle": "2025-10-14T21:19:36.680827Z",
+     "shell.execute_reply": "2025-10-14T21:19:36.680515Z",
+     "shell.execute_reply.started": "2025-10-14T21:19:36.200779Z"
     },
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [
     {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "a4a77fcb36a94c7f829bc9a81113eff9",
+       "version_major": 2,
+       "version_minor": 0
       },
-      "outputs": [],
-      "source": [
-        "model.plot_residual()"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "We may also print the fit statistics.\n\n"
+      "text/plain": [
+       "FigureWidget({\n",
+       "    'data': [{'line': {'color': '#636EFA', 'dash': 'solid'},\n",
+       "              'name': 'M11 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '2589ae26-cd44-46b5-8f53-136f6aa41a10',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x',\n",
+       "              'y': array([1., 1., 1., ..., 1., 1., 1.], shape=(1396,)),\n",
+       "              'yaxis': 'y'},\n",
+       "             {'line': {'color': '#636EFA', 'dash': 'dash'},\n",
+       "              'name': 'M11 theory',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': 'ab082c74-d3b4-4e48-acec-8279c4aef41d',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x',\n",
+       "              'y': array([1., 1., 1., ..., 1., 1., 1.], shape=(1396,)),\n",
+       "              'yaxis': 'y'},\n",
+       "             {'line': {'color': '#EF553B', 'dash': 'solid'},\n",
+       "              'name': 'M12 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': 'cc66498e-bc71-4b17-b113-0802d5f8617d',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x2',\n",
+       "              'y': array([-0.09147, -0.10879, -0.10639, ..., -0.44245, -0.44406, -0.44381],\n",
+       "                         shape=(1396,)),\n",
+       "              'yaxis': 'y2'},\n",
+       "             {'line': {'color': '#EF553B', 'dash': 'dash'},\n",
+       "              'name': 'M12 theory',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '6fcf540d-bda8-4231-92cf-596f10ab51c2',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x2',\n",
+       "              'y': array([-0.09081776, -0.09659845, -0.10218436, ..., -0.44726608, -0.44776779,\n",
+       "                          -0.44826863], shape=(1396,)),\n",
+       "              'yaxis': 'y2'},\n",
+       "             {'line': {'color': '#00CC96', 'dash': 'solid'},\n",
+       "              'name': 'M13 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': 'b2fe621f-6ac4-4125-b166-05cf8b49e2df',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x3',\n",
+       "              'y': array([-0.01241, -0.01151, -0.00694, ...,  0.00887, -0.00646,  0.0117 ],\n",
+       "                         shape=(1396,)),\n",
+       "              'yaxis': 'y3'},\n",
+       "             {'line': {'color': '#00CC96', 'dash': 'dash'},\n",
+       "              'name': 'M13 theory',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '4261cece-d51e-4a3f-b899-582356429621',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x3',\n",
+       "              'y': array([0., 0., 0., ..., 0., 0., 0.], shape=(1396,)),\n",
+       "              'yaxis': 'y3'},\n",
+       "             {'line': {'color': '#AB63FA', 'dash': 'solid'},\n",
+       "              'name': 'M14 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '14ab9619-c7a2-4046-9ce7-15b4be571d7b',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x4',\n",
+       "              'y': array([-0.00614, -0.00901, -0.00475, ...,  0.00626, -0.0061 ,  0.0055 ],\n",
+       "                         shape=(1396,)),\n",
+       "              'yaxis': 'y4'},\n",
+       "             {'line': {'color': '#AB63FA', 'dash': 'dash'},\n",
+       "              'name': 'M14 theory',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': 'b91abab2-f589-4ff0-b6cf-f90b39084cd5',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x4',\n",
+       "              'y': array([0., 0., 0., ..., 0., 0., 0.], shape=(1396,)),\n",
+       "              'yaxis': 'y4'},\n",
+       "             {'line': {'color': '#FFA15A', 'dash': 'solid'},\n",
+       "              'name': 'M21 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '946dd99c-8544-4a99-b491-d5741360c49e',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x5',\n",
+       "              'y': array([-0.09605, -0.09754, -0.10761, ..., -0.44024, -0.44126, -0.44135],\n",
+       "                         shape=(1396,)),\n",
+       "              'yaxis': 'y5'},\n",
+       "             {'line': {'color': '#FFA15A', 'dash': 'dash'},\n",
+       "              'name': 'M21 theory',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '9738aeca-0a41-4bec-96bb-6b598e804951',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x5',\n",
+       "              'y': array([-0.09081776, -0.09659845, -0.10218436, ..., -0.44726608, -0.44776779,\n",
+       "                          -0.44826863], shape=(1396,)),\n",
+       "              'yaxis': 'y5'},\n",
+       "             {'line': {'color': '#19D3F3', 'dash': 'solid'},\n",
+       "              'name': 'M22 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '554b1ab1-5ecb-4a07-94af-be0064e1c5c0',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x6',\n",
+       "              'y': array([0.99426, 0.99475, 0.99637, ..., 0.99723, 0.99661, 0.99606],\n",
+       "                         shape=(1396,)),\n",
+       "              'yaxis': 'y6'},\n",
+       "             {'line': {'color': '#19D3F3', 'dash': 'dash'},\n",
+       "              'name': 'M22 theory',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '2f576db1-e355-4162-9768-cac04a3d1564',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x6',\n",
+       "              'y': array([1., 1., 1., ..., 1., 1., 1.], shape=(1396,)),\n",
+       "              'yaxis': 'y6'},\n",
+       "             {'line': {'color': '#FF6692', 'dash': 'solid'},\n",
+       "              'name': 'M23 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '95b9e312-20ba-4a4d-a06f-460e5805eaf0',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x7',\n",
+       "              'y': array([-0.00364, -0.00427, -0.00207, ..., -0.00457,  0.00234, -0.00653],\n",
+       "                         shape=(1396,)),\n",
+       "              'yaxis': 'y7'},\n",
+       "             {'line': {'color': '#FF6692', 'dash': 'dash'},\n",
+       "              'name': 'M23 theory',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': 'f59e96e7-ebcf-4cf2-8976-ece085ee4646',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x7',\n",
+       "              'y': array([0., 0., 0., ..., 0., 0., 0.], shape=(1396,)),\n",
+       "              'yaxis': 'y7'},\n",
+       "             {'line': {'color': '#B6E880', 'dash': 'solid'},\n",
+       "              'name': 'M24 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': 'bb87197d-1827-498b-8510-6032b0fe518b',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x8',\n",
+       "              'y': array([ 0.01084, -0.00325,  0.01123, ..., -0.00263,  0.00227, -0.00311],\n",
+       "                         shape=(1396,)),\n",
+       "              'yaxis': 'y8'},\n",
+       "             {'line': {'color': '#B6E880', 'dash': 'dash'},\n",
+       "              'name': 'M24 theory',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '35141822-60e7-4ea0-89cf-950e464eb5e7',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x8',\n",
+       "              'y': array([0., 0., 0., ..., 0., 0., 0.], shape=(1396,)),\n",
+       "              'yaxis': 'y8'},\n",
+       "             {'line': {'color': '#FF97FF', 'dash': 'solid'},\n",
+       "              'name': 'M31 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': 'fc5057d1-de03-421b-a600-ce01c520e7b7',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x9',\n",
+       "              'y': array([-0.00278, -0.00634, -0.00219, ...,  0.00055, -0.00105,  0.00037],\n",
+       "                         shape=(1396,)),\n",
+       "              'yaxis': 'y9'},\n",
+       "             {'line': {'color': '#FF97FF', 'dash': 'dash'},\n",
+       "              'name': 'M31 theory',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': 'fe113a9d-0721-43fd-b6df-1bc25a10d6d9',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x9',\n",
+       "              'y': array([0., 0., 0., ..., 0., 0., 0.], shape=(1396,)),\n",
+       "              'yaxis': 'y9'},\n",
+       "             {'line': {'color': '#FECB52', 'dash': 'solid'},\n",
+       "              'name': 'M32 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': 'c0f56daa-5887-4308-a792-19990697fe58',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x10',\n",
+       "              'y': array([-0.00212, -0.00045,  0.0003 , ..., -0.0018 , -0.00042,  0.00037],\n",
+       "                         shape=(1396,)),\n",
+       "              'yaxis': 'y10'},\n",
+       "             {'line': {'color': '#FECB52', 'dash': 'dash'},\n",
+       "              'name': 'M32 theory',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': 'f005fe94-242f-4066-9c30-0d4ce4c08c25',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x10',\n",
+       "              'y': array([0., 0., 0., ..., 0., 0., 0.], shape=(1396,)),\n",
+       "              'yaxis': 'y10'},\n",
+       "             {'line': {'color': '#636EFA', 'dash': 'solid'},\n",
+       "              'name': 'M33 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '25de0838-da15-40cf-857c-56d7caa6d9d9',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x11',\n",
+       "              'y': array([0.27283, 0.26726, 0.2728 , ..., 0.16236, 0.16271, 0.16255],\n",
+       "                         shape=(1396,)),\n",
+       "              'yaxis': 'y11'},\n",
+       "             {'line': {'color': '#636EFA', 'dash': 'dash'},\n",
+       "              'name': 'M33 theory',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '17092f3f-ecbe-4ec3-888a-bac042cede2b',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x11',\n",
+       "              'y': array([0.28633493, 0.28495866, 0.28318747, ..., 0.15873433, 0.1585769 ,\n",
+       "                          0.15841941], shape=(1396,)),\n",
+       "              'yaxis': 'y11'},\n",
+       "             {'line': {'color': '#EF553B', 'dash': 'solid'},\n",
+       "              'name': 'M34 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': 'b6878d53-29ad-4609-86f1-577c87309849',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x12',\n",
+       "              'y': array([0.95555, 0.9645 , 0.95821, ..., 0.87712, 0.87629, 0.87661],\n",
+       "                         shape=(1396,)),\n",
+       "              'yaxis': 'y12'},\n",
+       "             {'line': {'color': '#EF553B', 'dash': 'dash'},\n",
+       "              'name': 'M34 theory',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '9601bf1e-5a8f-4521-8123-7598d86e9b30',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x12',\n",
+       "              'y': array([0.95381573, 0.95365995, 0.95360538, ..., 0.88020251, 0.87997578,\n",
+       "                          0.87974912], shape=(1396,)),\n",
+       "              'yaxis': 'y12'},\n",
+       "             {'line': {'color': '#00CC96', 'dash': 'solid'},\n",
+       "              'name': 'M41 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '227a29da-5831-4825-abfe-5f1a1eaede00',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x13',\n",
+       "              'y': array([ 0.00986,  0.00917,  0.00712, ..., -0.00585,  0.00882, -0.00692],\n",
+       "                         shape=(1396,)),\n",
+       "              'yaxis': 'y13'},\n",
+       "             {'line': {'color': '#00CC96', 'dash': 'dash'},\n",
+       "              'name': 'M41 theory',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': 'f663fc66-b86d-461d-b338-dddaae60d77e',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x13',\n",
+       "              'y': array([0., 0., 0., ..., 0., 0., 0.], shape=(1396,)),\n",
+       "              'yaxis': 'y13'},\n",
+       "             {'line': {'color': '#AB63FA', 'dash': 'solid'},\n",
+       "              'name': 'M42 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '852178c0-e3e8-409c-8389-001133fbd531',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x14',\n",
+       "              'y': array([ 0.00048,  0.01319,  0.00891, ..., -0.01388,  0.00424, -0.0126 ],\n",
+       "                         shape=(1396,)),\n",
+       "              'yaxis': 'y14'},\n",
+       "             {'line': {'color': '#AB63FA', 'dash': 'dash'},\n",
+       "              'name': 'M42 theory',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': 'f864ba72-7225-46bd-9954-8c2ceeb3e1f3',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x14',\n",
+       "              'y': array([0., 0., 0., ..., 0., 0., 0.], shape=(1396,)),\n",
+       "              'yaxis': 'y14'},\n",
+       "             {'line': {'color': '#FFA15A', 'dash': 'solid'},\n",
+       "              'name': 'M43 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '1c19bfd6-bc22-413c-866a-0a0ae2d8e54b',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x15',\n",
+       "              'y': array([-0.95574, -0.96899, -0.96191, ..., -0.8796 , -0.87907, -0.87849],\n",
+       "                         shape=(1396,)),\n",
+       "              'yaxis': 'y15'},\n",
+       "             {'line': {'color': '#FFA15A', 'dash': 'dash'},\n",
+       "              'name': 'M43 theory',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '6d362e92-fc75-452a-80e1-c1346352c598',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x15',\n",
+       "              'y': array([-0.95381573, -0.95365995, -0.95360538, ..., -0.88020251, -0.87997578,\n",
+       "                          -0.87974912], shape=(1396,)),\n",
+       "              'yaxis': 'y15'},\n",
+       "             {'line': {'color': '#19D3F3', 'dash': 'solid'},\n",
+       "              'name': 'M44 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': 'e834017e-23f2-4a55-ac45-d1b8e8e7b211',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x16',\n",
+       "              'y': array([0.25821, 0.24432, 0.24986, ..., 0.16743, 0.15105, 0.16637],\n",
+       "                         shape=(1396,)),\n",
+       "              'yaxis': 'y16'},\n",
+       "             {'line': {'color': '#19D3F3', 'dash': 'dash'},\n",
+       "              'name': 'M44 theory',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '2f1e1e95-ac66-4f4b-a37c-29da7fd10f34',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x16',\n",
+       "              'y': array([0.28633493, 0.28495866, 0.28318747, ..., 0.15873433, 0.1585769 ,\n",
+       "                          0.15841941], shape=(1396,)),\n",
+       "              'yaxis': 'y16'}],\n",
+       "    'layout': {'template': '...',\n",
+       "               'xaxis': {'anchor': 'y', 'domain': [0.0, 0.2125], 'matches': 'x'},\n",
+       "               'xaxis10': {'anchor': 'y10', 'domain': [0.2625, 0.475], 'matches': 'x'},\n",
+       "               'xaxis11': {'anchor': 'y11', 'domain': [0.525, 0.7375], 'matches': 'x'},\n",
+       "               'xaxis12': {'anchor': 'y12', 'domain': [0.7875, 1.0], 'matches': 'x'},\n",
+       "               'xaxis13': {'anchor': 'y13', 'domain': [0.0, 0.2125], 'matches': 'x'},\n",
+       "               'xaxis14': {'anchor': 'y14', 'domain': [0.2625, 0.475], 'matches': 'x'},\n",
+       "               'xaxis15': {'anchor': 'y15', 'domain': [0.525, 0.7375], 'matches': 'x'},\n",
+       "               'xaxis16': {'anchor': 'y16', 'domain': [0.7875, 1.0], 'matches': 'x'},\n",
+       "               'xaxis2': {'anchor': 'y2', 'domain': [0.2625, 0.475], 'matches': 'x'},\n",
+       "               'xaxis3': {'anchor': 'y3', 'domain': [0.525, 0.7375], 'matches': 'x'},\n",
+       "               'xaxis4': {'anchor': 'y4', 'domain': [0.7875, 1.0], 'matches': 'x'},\n",
+       "               'xaxis5': {'anchor': 'y5', 'domain': [0.0, 0.2125], 'matches': 'x'},\n",
+       "               'xaxis6': {'anchor': 'y6', 'domain': [0.2625, 0.475], 'matches': 'x'},\n",
+       "               'xaxis7': {'anchor': 'y7', 'domain': [0.525, 0.7375], 'matches': 'x'},\n",
+       "               'xaxis8': {'anchor': 'y8', 'domain': [0.7875, 1.0], 'matches': 'x'},\n",
+       "               'xaxis9': {'anchor': 'y9', 'domain': [0.0, 0.2125], 'matches': 'x'},\n",
+       "               'yaxis': {'anchor': 'x', 'domain': [0.80625, 1.0]},\n",
+       "               'yaxis10': {'anchor': 'x10', 'domain': [0.26875, 0.4625]},\n",
+       "               'yaxis11': {'anchor': 'x11', 'domain': [0.26875, 0.4625]},\n",
+       "               'yaxis12': {'anchor': 'x12', 'domain': [0.26875, 0.4625]},\n",
+       "               'yaxis13': {'anchor': 'x13', 'domain': [0.0, 0.19375]},\n",
+       "               'yaxis14': {'anchor': 'x14', 'domain': [0.0, 0.19375]},\n",
+       "               'yaxis15': {'anchor': 'x15', 'domain': [0.0, 0.19375]},\n",
+       "               'yaxis16': {'anchor': 'x16', 'domain': [0.0, 0.19375]},\n",
+       "               'yaxis2': {'anchor': 'x2', 'domain': [0.80625, 1.0]},\n",
+       "               'yaxis3': {'anchor': 'x3', 'domain': [0.80625, 1.0]},\n",
+       "               'yaxis4': {'anchor': 'x4', 'domain': [0.80625, 1.0]},\n",
+       "               'yaxis5': {'anchor': 'x5', 'domain': [0.5375, 0.73125]},\n",
+       "               'yaxis6': {'anchor': 'x6', 'domain': [0.5375, 0.73125]},\n",
+       "               'yaxis7': {'anchor': 'x7', 'domain': [0.5375, 0.73125]},\n",
+       "               'yaxis8': {'anchor': 'x8', 'domain': [0.5375, 0.73125]},\n",
+       "               'yaxis9': {'anchor': 'x9', 'domain': [0.26875, 0.4625]}}\n",
+       "})"
       ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "fit_stats = model.fit()\n",
+    "model.plot(full_scale=False)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "For comparison we plot the residual again to have a figure of merit\n",
+    "for the fit quality\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {
+    "collapsed": false,
+    "execution": {
+     "iopub.execute_input": "2025-10-14T21:19:36.681246Z",
+     "iopub.status.busy": "2025-10-14T21:19:36.681139Z",
+     "iopub.status.idle": "2025-10-14T21:19:36.743895Z",
+     "shell.execute_reply": "2025-10-14T21:19:36.743578Z",
+     "shell.execute_reply.started": "2025-10-14T21:19:36.681236Z"
     },
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [
     {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "051741415d8b498885c6384678a771e1",
+       "version_major": 2,
+       "version_minor": 0
       },
-      "outputs": [],
-      "source": [
-        "fit_stats"
+      "text/plain": [
+       "FigureWidget({\n",
+       "    'data': [{'line': {'color': '#636EFA', 'dash': 'solid'},\n",
+       "              'name': 'M11 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': 'e1be276c-3b2a-41b6-afa4-49b62b3356e4',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x',\n",
+       "              'y': array([0., 0., 0., ..., 0., 0., 0.], shape=(1396,)),\n",
+       "              'yaxis': 'y'},\n",
+       "             {'line': {'color': '#EF553B', 'dash': 'solid'},\n",
+       "              'name': 'M12 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': 'c996633b-553f-4dab-8b96-234228d07537',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x2',\n",
+       "              'y': array([ 0.00065224,  0.01219155,  0.00420564, ..., -0.00481608, -0.00370779,\n",
+       "                          -0.00445863], shape=(1396,)),\n",
+       "              'yaxis': 'y2'},\n",
+       "             {'line': {'color': '#00CC96', 'dash': 'solid'},\n",
+       "              'name': 'M13 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': 'd3534aef-a081-4942-a550-d3a7bdde91be',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x3',\n",
+       "              'y': array([ 0.01241,  0.01151,  0.00694, ..., -0.00887,  0.00646, -0.0117 ],\n",
+       "                         shape=(1396,)),\n",
+       "              'yaxis': 'y3'},\n",
+       "             {'line': {'color': '#AB63FA', 'dash': 'solid'},\n",
+       "              'name': 'M14 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': 'b2a6945f-2a7b-4301-8b30-520b3bb72c38',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x4',\n",
+       "              'y': array([ 0.00614,  0.00901,  0.00475, ..., -0.00626,  0.0061 , -0.0055 ],\n",
+       "                         shape=(1396,)),\n",
+       "              'yaxis': 'y4'},\n",
+       "             {'line': {'color': '#FFA15A', 'dash': 'solid'},\n",
+       "              'name': 'M21 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '14b50174-bccb-431b-ab3a-4c2a62ba11c1',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x5',\n",
+       "              'y': array([ 0.00523224,  0.00094155,  0.00542564, ..., -0.00702608, -0.00650779,\n",
+       "                          -0.00691863], shape=(1396,)),\n",
+       "              'yaxis': 'y5'},\n",
+       "             {'line': {'color': '#19D3F3', 'dash': 'solid'},\n",
+       "              'name': 'M22 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '5efaad18-cad0-4cfe-a627-dc6310624910',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x6',\n",
+       "              'y': array([0.00574, 0.00525, 0.00363, ..., 0.00277, 0.00339, 0.00394],\n",
+       "                         shape=(1396,)),\n",
+       "              'yaxis': 'y6'},\n",
+       "             {'line': {'color': '#FF6692', 'dash': 'solid'},\n",
+       "              'name': 'M23 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '8065b809-dc2a-4983-a8a5-165bd9ccde59',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x7',\n",
+       "              'y': array([ 0.00364,  0.00427,  0.00207, ...,  0.00457, -0.00234,  0.00653],\n",
+       "                         shape=(1396,)),\n",
+       "              'yaxis': 'y7'},\n",
+       "             {'line': {'color': '#B6E880', 'dash': 'solid'},\n",
+       "              'name': 'M24 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '3d7eb117-b459-4021-a3da-b368b3075a05',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x8',\n",
+       "              'y': array([-0.01084,  0.00325, -0.01123, ...,  0.00263, -0.00227,  0.00311],\n",
+       "                         shape=(1396,)),\n",
+       "              'yaxis': 'y8'},\n",
+       "             {'line': {'color': '#FF97FF', 'dash': 'solid'},\n",
+       "              'name': 'M31 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '951900d8-d569-48b2-bbf2-fcf58a26b60e',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x9',\n",
+       "              'y': array([ 0.00278,  0.00634,  0.00219, ..., -0.00055,  0.00105, -0.00037],\n",
+       "                         shape=(1396,)),\n",
+       "              'yaxis': 'y9'},\n",
+       "             {'line': {'color': '#FECB52', 'dash': 'solid'},\n",
+       "              'name': 'M32 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '3571dbed-b3a1-4544-a613-690afa7904eb',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x10',\n",
+       "              'y': array([ 0.00212,  0.00045, -0.0003 , ...,  0.0018 ,  0.00042, -0.00037],\n",
+       "                         shape=(1396,)),\n",
+       "              'yaxis': 'y10'},\n",
+       "             {'line': {'color': '#636EFA', 'dash': 'solid'},\n",
+       "              'name': 'M33 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '9b79536c-ed20-4ec0-b5d7-c733dd4b2fbe',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x11',\n",
+       "              'y': array([ 0.01350493,  0.01769866,  0.01038747, ..., -0.00362567, -0.0041331 ,\n",
+       "                          -0.00413059], shape=(1396,)),\n",
+       "              'yaxis': 'y11'},\n",
+       "             {'line': {'color': '#EF553B', 'dash': 'solid'},\n",
+       "              'name': 'M34 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': 'df4e305f-3297-4b29-a924-26c9e7e93db1',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x12',\n",
+       "              'y': array([-0.00173427, -0.01084005, -0.00460462, ...,  0.00308251,  0.00368578,\n",
+       "                           0.00313912], shape=(1396,)),\n",
+       "              'yaxis': 'y12'},\n",
+       "             {'line': {'color': '#00CC96', 'dash': 'solid'},\n",
+       "              'name': 'M41 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '60f19cb2-2ba8-4a2a-94bb-bc0462d0dbd2',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x13',\n",
+       "              'y': array([-0.00986, -0.00917, -0.00712, ...,  0.00585, -0.00882,  0.00692],\n",
+       "                         shape=(1396,)),\n",
+       "              'yaxis': 'y13'},\n",
+       "             {'line': {'color': '#AB63FA', 'dash': 'solid'},\n",
+       "              'name': 'M42 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '65b57141-2669-4e11-a533-12204285b41d',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x14',\n",
+       "              'y': array([-0.00048, -0.01319, -0.00891, ...,  0.01388, -0.00424,  0.0126 ],\n",
+       "                         shape=(1396,)),\n",
+       "              'yaxis': 'y14'},\n",
+       "             {'line': {'color': '#FFA15A', 'dash': 'solid'},\n",
+       "              'name': 'M43 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '9b00995a-0c27-4f9d-a1be-1b1edc73f748',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x15',\n",
+       "              'y': array([ 0.00192427,  0.01533005,  0.00830462, ..., -0.00060251, -0.00090578,\n",
+       "                          -0.00125912], shape=(1396,)),\n",
+       "              'yaxis': 'y15'},\n",
+       "             {'line': {'color': '#19D3F3', 'dash': 'solid'},\n",
+       "              'name': 'M44 ',\n",
+       "              'type': 'scatter',\n",
+       "              'uid': '9756afd8-7add-4876-b80f-1cd7dfbf3380',\n",
+       "              'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528],\n",
+       "                         shape=(1396,)),\n",
+       "              'xaxis': 'x16',\n",
+       "              'y': array([ 0.02812493,  0.04063866,  0.03332747, ..., -0.00869567,  0.0075269 ,\n",
+       "                          -0.00795059], shape=(1396,)),\n",
+       "              'yaxis': 'y16'}],\n",
+       "    'layout': {'template': '...',\n",
+       "               'xaxis': {'anchor': 'y', 'domain': [0.0, 0.2125], 'matches': 'x'},\n",
+       "               'xaxis10': {'anchor': 'y10', 'domain': [0.2625, 0.475], 'matches': 'x'},\n",
+       "               'xaxis11': {'anchor': 'y11', 'domain': [0.525, 0.7375], 'matches': 'x'},\n",
+       "               'xaxis12': {'anchor': 'y12', 'domain': [0.7875, 1.0], 'matches': 'x'},\n",
+       "               'xaxis13': {'anchor': 'y13', 'domain': [0.0, 0.2125], 'matches': 'x'},\n",
+       "               'xaxis14': {'anchor': 'y14', 'domain': [0.2625, 0.475], 'matches': 'x'},\n",
+       "               'xaxis15': {'anchor': 'y15', 'domain': [0.525, 0.7375], 'matches': 'x'},\n",
+       "               'xaxis16': {'anchor': 'y16', 'domain': [0.7875, 1.0], 'matches': 'x'},\n",
+       "               'xaxis2': {'anchor': 'y2', 'domain': [0.2625, 0.475], 'matches': 'x'},\n",
+       "               'xaxis3': {'anchor': 'y3', 'domain': [0.525, 0.7375], 'matches': 'x'},\n",
+       "               'xaxis4': {'anchor': 'y4', 'domain': [0.7875, 1.0], 'matches': 'x'},\n",
+       "               'xaxis5': {'anchor': 'y5', 'domain': [0.0, 0.2125], 'matches': 'x'},\n",
+       "               'xaxis6': {'anchor': 'y6', 'domain': [0.2625, 0.475], 'matches': 'x'},\n",
+       "               'xaxis7': {'anchor': 'y7', 'domain': [0.525, 0.7375], 'matches': 'x'},\n",
+       "               'xaxis8': {'anchor': 'y8', 'domain': [0.7875, 1.0], 'matches': 'x'},\n",
+       "               'xaxis9': {'anchor': 'y9', 'domain': [0.0, 0.2125], 'matches': 'x'},\n",
+       "               'yaxis': {'anchor': 'x', 'domain': [0.80625, 1.0]},\n",
+       "               'yaxis10': {'anchor': 'x10', 'domain': [0.26875, 0.4625]},\n",
+       "               'yaxis11': {'anchor': 'x11', 'domain': [0.26875, 0.4625]},\n",
+       "               'yaxis12': {'anchor': 'x12', 'domain': [0.26875, 0.4625]},\n",
+       "               'yaxis13': {'anchor': 'x13', 'domain': [0.0, 0.19375]},\n",
+       "               'yaxis14': {'anchor': 'x14', 'domain': [0.0, 0.19375]},\n",
+       "               'yaxis15': {'anchor': 'x15', 'domain': [0.0, 0.19375]},\n",
+       "               'yaxis16': {'anchor': 'x16', 'domain': [0.0, 0.19375]},\n",
+       "               'yaxis2': {'anchor': 'x2', 'domain': [0.80625, 1.0]},\n",
+       "               'yaxis3': {'anchor': 'x3', 'domain': [0.80625, 1.0]},\n",
+       "               'yaxis4': {'anchor': 'x4', 'domain': [0.80625, 1.0]},\n",
+       "               'yaxis5': {'anchor': 'x5', 'domain': [0.5375, 0.73125]},\n",
+       "               'yaxis6': {'anchor': 'x6', 'domain': [0.5375, 0.73125]},\n",
+       "               'yaxis7': {'anchor': 'x7', 'domain': [0.5375, 0.73125]},\n",
+       "               'yaxis8': {'anchor': 'x8', 'domain': [0.5375, 0.73125]},\n",
+       "               'yaxis9': {'anchor': 'x9', 'domain': [0.26875, 0.4625]}}\n",
+       "})"
       ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "model.plot_residual()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We may also print the fit statistics.\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {
+    "collapsed": false,
+    "execution": {
+     "iopub.execute_input": "2025-10-14T21:19:36.744545Z",
+     "iopub.status.busy": "2025-10-14T21:19:36.744434Z",
+     "iopub.status.idle": "2025-10-14T21:19:36.747336Z",
+     "shell.execute_reply": "2025-10-14T21:19:36.747055Z",
+     "shell.execute_reply.started": "2025-10-14T21:19:36.744535Z"
     },
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [
     {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "## References\n[Here](https://github.com/PyEllips/pyElli/tree/master/examples/SiO2_Si%20Mueller%20Matrix)\nyou can find the latest jupyter notebook and data files of this example.\n\n"
+     "data": {
+      "text/html": [
+       "<h2>Fit Result</h2> <table class=\"jp-toc-ignore\"><caption class=\"jp-toc-ignore\">Fit Statistics</caption><tr><td style='text-align:left'>fitting method</td><td style='text-align:right'>leastsq</td></tr><tr><td style='text-align:left'># function evals</td><td style='text-align:right'>74</td></tr><tr><td style='text-align:left'># data points</td><td style='text-align:right'>22336</td></tr><tr><td style='text-align:left'># variables</td><td style='text-align:right'>7</td></tr><tr><td style='text-align:left'>chi-square</td><td style='text-align:right'> 2.99332582</td></tr><tr><td style='text-align:left'>reduced chi-square</td><td style='text-align:right'> 1.3406e-04</td></tr><tr><td style='text-align:left'>Akaike info crit.</td><td style='text-align:right'>-199168.842</td></tr><tr><td style='text-align:left'>Bayesian info crit.</td><td style='text-align:right'>-199112.744</td></tr></table><table class=\"jp-toc-ignore\"><caption>Parameters</caption><tr><th style='text-align:left'>name</th><th style='text-align:left'>value</th><th style='text-align:left'>standard error</th><th style='text-align:left'>relative error</th><th style='text-align:left'>initial value</th><th style='text-align:left'>min</th><th style='text-align:left'>max</th><th style='text-align:right'>vary</th></tr><tr><td style='text-align:left'>SiO2_n0</td><td style='text-align:left'> 1.45182886</td><td style='text-align:left'> 5.6718e-04</td><td style='text-align:left'>(0.04%)</td><td style='text-align:left'>1.452</td><td style='text-align:left'>-100.000000</td><td style='text-align:left'> 100.000000</td><td style='text-align:right'>True</td></tr><tr><td style='text-align:left'>SiO2_n1</td><td style='text-align:left'> 29.9761799</td><td style='text-align:left'> 0.54615240</td><td style='text-align:left'>(1.82%)</td><td style='text-align:left'>36.0</td><td style='text-align:left'>-40000.0000</td><td style='text-align:left'> 40000.0000</td><td style='text-align:right'>True</td></tr><tr><td style='text-align:left'>SiO2_n2</td><td style='text-align:left'> 3.65209261</td><td style='text-align:left'> 0.25167512</td><td style='text-align:left'>(6.89%)</td><td style='text-align:left'>0</td><td style='text-align:left'>-40000.0000</td><td style='text-align:left'> 40000.0000</td><td style='text-align:right'>True</td></tr><tr><td style='text-align:left'>SiO2_k0</td><td style='text-align:left'> 0.00516714</td><td style='text-align:left'> 5.7022e-04</td><td style='text-align:left'>(11.04%)</td><td style='text-align:left'>0</td><td style='text-align:left'>-100.000000</td><td style='text-align:left'> 100.000000</td><td style='text-align:right'>True</td></tr><tr><td style='text-align:left'>SiO2_k1</td><td style='text-align:left'>-8.71330206</td><td style='text-align:left'> 0.90760702</td><td style='text-align:left'>(10.42%)</td><td style='text-align:left'>0</td><td style='text-align:left'>-40000.0000</td><td style='text-align:left'> 40000.0000</td><td style='text-align:right'>True</td></tr><tr><td style='text-align:left'>SiO2_k2</td><td style='text-align:left'> 3.73975816</td><td style='text-align:left'> 0.35994109</td><td style='text-align:left'>(9.62%)</td><td style='text-align:left'>0</td><td style='text-align:left'>-40000.0000</td><td style='text-align:left'> 40000.0000</td><td style='text-align:right'>True</td></tr><tr><td style='text-align:left'>SiO2_d</td><td style='text-align:left'> 103.730183</td><td style='text-align:left'> 0.08896409</td><td style='text-align:left'>(0.09%)</td><td style='text-align:left'>120</td><td style='text-align:left'> 0.00000000</td><td style='text-align:left'> 40000.0000</td><td style='text-align:right'>True</td></tr></table><table class=\"jp-toc-ignore\"><caption>Correlations (unreported values are < 0.100)</caption><tr><th style='text-align:left'>Parameter1</th><th style='text-align:left'>Parameter 2</th><th style='text-align:right'>Correlation</th></tr><tr><td style='text-align:left'>SiO2_k1</td><td style='text-align:left'>SiO2_k2</td><td style='text-align:right'>-0.9753</td></tr><tr><td style='text-align:left'>SiO2_k0</td><td style='text-align:left'>SiO2_k1</td><td style='text-align:right'>-0.9634</td></tr><tr><td style='text-align:left'>SiO2_n1</td><td style='text-align:left'>SiO2_n2</td><td style='text-align:right'>-0.9513</td></tr><tr><td style='text-align:left'>SiO2_k0</td><td style='text-align:left'>SiO2_d</td><td style='text-align:right'>+0.9496</td></tr><tr><td style='text-align:left'>SiO2_n0</td><td style='text-align:left'>SiO2_d</td><td style='text-align:right'>-0.9490</td></tr><tr><td style='text-align:left'>SiO2_n0</td><td style='text-align:left'>SiO2_k0</td><td style='text-align:right'>-0.9011</td></tr><tr><td style='text-align:left'>SiO2_k0</td><td style='text-align:left'>SiO2_k2</td><td style='text-align:right'>+0.8896</td></tr><tr><td style='text-align:left'>SiO2_k1</td><td style='text-align:left'>SiO2_d</td><td style='text-align:right'>-0.8436</td></tr><tr><td style='text-align:left'>SiO2_n0</td><td style='text-align:left'>SiO2_k1</td><td style='text-align:right'>+0.8005</td></tr><tr><td style='text-align:left'>SiO2_k2</td><td style='text-align:left'>SiO2_d</td><td style='text-align:right'>+0.7314</td></tr><tr><td style='text-align:left'>SiO2_n0</td><td style='text-align:left'>SiO2_k2</td><td style='text-align:right'>-0.6941</td></tr><tr><td style='text-align:left'>SiO2_n1</td><td style='text-align:left'>SiO2_d</td><td style='text-align:right'>-0.4512</td></tr><tr><td style='text-align:left'>SiO2_n1</td><td style='text-align:left'>SiO2_k0</td><td style='text-align:right'>-0.4284</td></tr><tr><td style='text-align:left'>SiO2_n1</td><td style='text-align:left'>SiO2_k1</td><td style='text-align:right'>+0.3806</td></tr><tr><td style='text-align:left'>SiO2_n1</td><td style='text-align:left'>SiO2_k2</td><td style='text-align:right'>-0.3300</td></tr><tr><td style='text-align:left'>SiO2_n2</td><td style='text-align:left'>SiO2_d</td><td style='text-align:right'>+0.2208</td></tr><tr><td style='text-align:left'>SiO2_n2</td><td style='text-align:left'>SiO2_k0</td><td style='text-align:right'>+0.2097</td></tr><tr><td style='text-align:left'>SiO2_n2</td><td style='text-align:left'>SiO2_k1</td><td style='text-align:right'>-0.1862</td></tr><tr><td style='text-align:left'>SiO2_n2</td><td style='text-align:left'>SiO2_k2</td><td style='text-align:right'>+0.1615</td></tr><tr><td style='text-align:left'>SiO2_n0</td><td style='text-align:left'>SiO2_n1</td><td style='text-align:right'>+0.1569</td></tr></table>"
+      ],
+      "text/plain": [
+       "<lmfit.minimizer.MinimizerResult at 0x7fcc01b73b60>"
       ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
     }
-  ],
-  "metadata": {
-    "kernelspec": {
-      "display_name": "Python 3",
-      "language": "python",
-      "name": "python3"
-    },
-    "language_info": {
-      "codemirror_mode": {
-        "name": "ipython",
-        "version": 3
-      },
-      "file_extension": ".py",
-      "mimetype": "text/x-python",
-      "name": "python",
-      "nbconvert_exporter": "python",
-      "pygments_lexer": "ipython3",
-      "version": "3.9.13"
-    }
+   ],
+   "source": [
+    "fit_stats"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## References\n",
+    "[Here](https://github.com/PyEllips/pyElli/tree/master/examples/SiO2_Si%20Mueller%20Matrix)\n",
+    "you can find the latest jupyter notebook and data files of this example.\n",
+    "\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
   },
-  "nbformat": 4,
-  "nbformat_minor": 0
-}
\ No newline at end of file
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.13.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/examples/TiO2 Fit/TiO2 Multilayerfit.ipynb b/examples/TiO2 Fit/TiO2 Multilayerfit.ipynb
index bda5d800..a8298c3f 100644
--- a/examples/TiO2 Fit/TiO2 Multilayerfit.ipynb	
+++ b/examples/TiO2 Fit/TiO2 Multilayerfit.ipynb	
@@ -6,11 +6,11 @@
    "metadata": {
     "collapsed": false,
     "execution": {
-     "iopub.execute_input": "2024-06-28T09:13:44.843806Z",
-     "iopub.status.busy": "2024-06-28T09:13:44.843591Z",
-     "iopub.status.idle": "2024-06-28T09:13:45.917983Z",
-     "shell.execute_reply": "2024-06-28T09:13:45.917335Z",
-     "shell.execute_reply.started": "2024-06-28T09:13:44.843784Z"
+     "iopub.execute_input": "2025-10-14T21:19:58.085771Z",
+     "iopub.status.busy": "2025-10-14T21:19:58.085606Z",
+     "iopub.status.idle": "2025-10-14T21:19:58.350099Z",
+     "shell.execute_reply": "2025-10-14T21:19:58.349744Z",
+     "shell.execute_reply.started": "2025-10-14T21:19:58.085759Z"
     },
     "jupyter": {
      "outputs_hidden": false
@@ -37,11 +37,11 @@
    "metadata": {
     "collapsed": false,
     "execution": {
-     "iopub.execute_input": "2024-06-28T09:13:45.919042Z",
-     "iopub.status.busy": "2024-06-28T09:13:45.918777Z",
-     "iopub.status.idle": "2024-06-28T09:13:48.809389Z",
-     "shell.execute_reply": "2024-06-28T09:13:48.808795Z",
-     "shell.execute_reply.started": "2024-06-28T09:13:45.919022Z"
+     "iopub.execute_input": "2025-10-14T21:19:58.350571Z",
+     "iopub.status.busy": "2025-10-14T21:19:58.350419Z",
+     "iopub.status.idle": "2025-10-14T21:19:59.757104Z",
+     "shell.execute_reply": "2025-10-14T21:19:59.756751Z",
+     "shell.execute_reply.started": "2025-10-14T21:19:58.350559Z"
     },
     "jupyter": {
      "outputs_hidden": false
@@ -74,11 +74,11 @@
    "metadata": {
     "collapsed": false,
     "execution": {
-     "iopub.execute_input": "2024-06-28T09:13:48.813956Z",
-     "iopub.status.busy": "2024-06-28T09:13:48.810424Z",
-     "iopub.status.idle": "2024-06-28T09:13:48.846659Z",
-     "shell.execute_reply": "2024-06-28T09:13:48.845069Z",
-     "shell.execute_reply.started": "2024-06-28T09:13:48.813929Z"
+     "iopub.execute_input": "2025-10-14T21:19:59.757708Z",
+     "iopub.status.busy": "2025-10-14T21:19:59.757478Z",
+     "iopub.status.idle": "2025-10-14T21:19:59.776748Z",
+     "shell.execute_reply": "2025-10-14T21:19:59.776441Z",
+     "shell.execute_reply.started": "2025-10-14T21:19:59.757695Z"
     },
     "jupyter": {
      "outputs_hidden": false
@@ -109,11 +109,11 @@
    "metadata": {
     "collapsed": false,
     "execution": {
-     "iopub.execute_input": "2024-06-28T09:13:48.847906Z",
-     "iopub.status.busy": "2024-06-28T09:13:48.847650Z",
-     "iopub.status.idle": "2024-06-28T09:13:48.857282Z",
-     "shell.execute_reply": "2024-06-28T09:13:48.854987Z",
-     "shell.execute_reply.started": "2024-06-28T09:13:48.847883Z"
+     "iopub.execute_input": "2025-10-14T21:19:59.777151Z",
+     "iopub.status.busy": "2025-10-14T21:19:59.777050Z",
+     "iopub.status.idle": "2025-10-14T21:19:59.781092Z",
+     "shell.execute_reply": "2025-10-14T21:19:59.780784Z",
+     "shell.execute_reply.started": "2025-10-14T21:19:59.777142Z"
     },
     "jupyter": {
      "outputs_hidden": false
@@ -162,11 +162,11 @@
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@@ -196,11 +196,11 @@
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@@ -264,11 +264,11 @@
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@@ -278,7 +278,7 @@
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@@ -292,10 +292,12 @@
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@@ -305,11 +307,12 @@
        "              'name': 'Δ',\n",
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        "              'type': 'scattergl',\n",
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-       "              'x': array([400.07646, 400.51975, 400.96301, ..., 798.88197, 799.30046, 799.71891]),\n",
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@@ -319,11 +322,12 @@
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@@ -333,11 +337,12 @@
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@@ -371,21 +376,31 @@
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+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/marius/.venv/pyelli/lib/python3.13/site-packages/uncertainties/core.py:1024: UserWarning:\n",
+      "\n",
+      "Using UFloat objects with std_dev==0 may give unexpected results.\n",
+      "\n"
+     ]
+    },
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@@ -399,10 +414,12 @@
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@@ -412,11 +429,12 @@
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        "              'y': array([-132.57268, -132.11725, -131.5141 , ...,        nan,        nan,\n",
-       "                                 nan]),\n",
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        "             {'hovertemplate': 'variable=Ψ_fit<br>Wavelength=%{x}<br>value=%{y}<extra></extra>',\n",
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@@ -426,11 +444,12 @@
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        "              'y': array([        nan,         nan,         nan, ..., 20.20488814, 20.23141868,\n",
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@@ -440,11 +459,12 @@
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-       "              'y': array([          nan,           nan,           nan, ..., -118.64650333,\n",
-       "                          -118.5165033 , -118.38691231]),\n",
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@@ -478,11 +498,11 @@
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@@ -492,10 +512,10 @@
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       "text/html": [
-       "<h2>Fit Result</h2> <table class=\"jp-toc-ignore\"><caption class=\"jp-toc-ignore\">Fit Statistics</caption><tr><td style='text-align:left'>fitting method</td><td style='text-align:right'>leastsq</td></tr><tr><td style='text-align:left'># function evals</td><td style='text-align:right'>32</td></tr><tr><td style='text-align:left'># data points</td><td style='text-align:right'>1852</td></tr><tr><td style='text-align:left'># variables</td><td style='text-align:right'>4</td></tr><tr><td style='text-align:left'>chi-square</td><td style='text-align:right'> 0.04160577</td></tr><tr><td style='text-align:left'>reduced chi-square</td><td style='text-align:right'> 2.2514e-05</td></tr><tr><td style='text-align:left'>Akaike info crit.</td><td style='text-align:right'>-19814.9521</td></tr><tr><td style='text-align:left'>Bayesian info crit.</td><td style='text-align:right'>-19792.8560</td></tr></table><table class=\"jp-toc-ignore\"><caption>Parameters</caption><tr><th style='text-align:left'>name</th><th style='text-align:left'>value</th><th style='text-align:left'>standard error</th><th style='text-align:left'>relative error</th><th style='text-align:left'>initial value</th><th style='text-align:left'>min</th><th style='text-align:left'>max</th><th style='text-align:right'>vary</th></tr><tr><td style='text-align:left'>SiO2_n0</td><td style='text-align:left'> 1.45200000</td><td style='text-align:left'> 0.00000000</td><td style='text-align:left'>(0.00%)</td><td style='text-align:left'>1.452</td><td style='text-align:left'>-100.000000</td><td style='text-align:left'> 100.000000</td><td style='text-align:right'>False</td></tr><tr><td style='text-align:left'>SiO2_n1</td><td style='text-align:left'> 36.0000000</td><td style='text-align:left'> 0.00000000</td><td style='text-align:left'>(0.00%)</td><td style='text-align:left'>36.0</td><td style='text-align:left'>-40000.0000</td><td style='text-align:left'> 40000.0000</td><td style='text-align:right'>False</td></tr><tr><td style='text-align:left'>SiO2_n2</td><td style='text-align:left'> 0.00000000</td><td style='text-align:left'> 0.00000000</td><td style='text-align:left'></td><td style='text-align:left'>0</td><td style='text-align:left'>-40000.0000</td><td style='text-align:left'> 40000.0000</td><td style='text-align:right'>False</td></tr><tr><td style='text-align:left'>SiO2_k0</td><td style='text-align:left'> 0.00000000</td><td style='text-align:left'> 0.00000000</td><td style='text-align:left'></td><td style='text-align:left'>0</td><td style='text-align:left'>-100.000000</td><td style='text-align:left'> 100.000000</td><td style='text-align:right'>False</td></tr><tr><td style='text-align:left'>SiO2_k1</td><td style='text-align:left'> 0.00000000</td><td style='text-align:left'> 0.00000000</td><td style='text-align:left'></td><td style='text-align:left'>0</td><td style='text-align:left'>-40000.0000</td><td style='text-align:left'> 40000.0000</td><td style='text-align:right'>False</td></tr><tr><td style='text-align:left'>SiO2_k2</td><td style='text-align:left'> 0.00000000</td><td style='text-align:left'> 0.00000000</td><td style='text-align:left'></td><td style='text-align:left'>0</td><td style='text-align:left'>-40000.0000</td><td style='text-align:left'> 40000.0000</td><td style='text-align:right'>False</td></tr><tr><td style='text-align:left'>SiO2_d</td><td style='text-align:left'> 276.360000</td><td style='text-align:left'> 0.00000000</td><td style='text-align:left'>(0.00%)</td><td style='text-align:left'>276.36</td><td style='text-align:left'> 0.00000000</td><td style='text-align:left'> 40000.0000</td><td style='text-align:right'>False</td></tr><tr><td style='text-align:left'>TiO2_n0</td><td style='text-align:left'> 2.22973557</td><td style='text-align:left'> 0.00472756</td><td style='text-align:left'>(0.21%)</td><td style='text-align:left'>2.236</td><td style='text-align:left'>-100.000000</td><td style='text-align:left'> 100.000000</td><td style='text-align:right'>True</td></tr><tr><td style='text-align:left'>TiO2_n1</td><td style='text-align:left'> 461.689341</td><td style='text-align:left'> 22.1724775</td><td style='text-align:left'>(4.80%)</td><td style='text-align:left'>451</td><td style='text-align:left'>-40000.0000</td><td style='text-align:left'> 40000.0000</td><td style='text-align:right'>True</td></tr><tr><td style='text-align:left'>TiO2_n2</td><td style='text-align:left'> 189.779573</td><td style='text-align:left'> 25.7876508</td><td style='text-align:left'>(13.59%)</td><td style='text-align:left'>251</td><td style='text-align:left'>-40000.0000</td><td style='text-align:left'> 40000.0000</td><td style='text-align:right'>True</td></tr><tr><td style='text-align:left'>TiO2_k0</td><td style='text-align:left'> 0.00000000</td><td style='text-align:left'> 0.00000000</td><td style='text-align:left'></td><td style='text-align:left'>0</td><td style='text-align:left'>-100.000000</td><td style='text-align:left'> 100.000000</td><td style='text-align:right'>False</td></tr><tr><td style='text-align:left'>TiO2_k1</td><td style='text-align:left'> 0.00000000</td><td style='text-align:left'> 0.00000000</td><td style='text-align:left'></td><td style='text-align:left'>0</td><td style='text-align:left'>-40000.0000</td><td style='text-align:left'> 40000.0000</td><td style='text-align:right'>False</td></tr><tr><td style='text-align:left'>TiO2_k2</td><td style='text-align:left'> 0.00000000</td><td style='text-align:left'> 0.00000000</td><td style='text-align:left'></td><td style='text-align:left'>0</td><td style='text-align:left'>-40000.0000</td><td style='text-align:left'> 40000.0000</td><td style='text-align:right'>False</td></tr><tr><td style='text-align:left'>TiO2_d</td><td style='text-align:left'> 24.8446396</td><td style='text-align:left'> 0.01013894</td><td style='text-align:left'>(0.04%)</td><td style='text-align:left'>20</td><td style='text-align:left'> 0.00000000</td><td style='text-align:left'> 40000.0000</td><td style='text-align:right'>True</td></tr></table><table class=\"jp-toc-ignore\"><caption>Correlations (unreported values are < 0.100)</caption><tr><th style='text-align:left'>Parameter1</th><th style='text-align:left'>Parameter 2</th><th style='text-align:right'>Correlation</th></tr><tr><td style='text-align:left'>TiO2_n0</td><td style='text-align:left'>TiO2_n1</td><td style='text-align:right'>-0.9910</td></tr><tr><td style='text-align:left'>TiO2_n1</td><td style='text-align:left'>TiO2_n2</td><td style='text-align:right'>-0.9879</td></tr><tr><td style='text-align:left'>TiO2_n0</td><td style='text-align:left'>TiO2_n2</td><td style='text-align:right'>+0.9640</td></tr></table>"
+       "<h2>Fit Result</h2> <table class=\"jp-toc-ignore\"><caption class=\"jp-toc-ignore\">Fit Statistics</caption><tr><td style='text-align:left'>fitting method</td><td style='text-align:right'>leastsq</td></tr><tr><td style='text-align:left'># function evals</td><td style='text-align:right'>32</td></tr><tr><td style='text-align:left'># data points</td><td style='text-align:right'>1852</td></tr><tr><td style='text-align:left'># variables</td><td style='text-align:right'>4</td></tr><tr><td style='text-align:left'>chi-square</td><td style='text-align:right'> 0.04160577</td></tr><tr><td style='text-align:left'>reduced chi-square</td><td style='text-align:right'> 2.2514e-05</td></tr><tr><td style='text-align:left'>Akaike info crit.</td><td style='text-align:right'>-19814.9521</td></tr><tr><td style='text-align:left'>Bayesian info crit.</td><td style='text-align:right'>-19792.8560</td></tr></table><table class=\"jp-toc-ignore\"><caption>Parameters</caption><tr><th style='text-align:left'>name</th><th style='text-align:left'>value</th><th style='text-align:left'>standard error</th><th style='text-align:left'>relative error</th><th style='text-align:left'>initial value</th><th style='text-align:left'>min</th><th style='text-align:left'>max</th><th style='text-align:right'>vary</th></tr><tr><td style='text-align:left'>SiO2_n0</td><td style='text-align:left'> 1.45200000</td><td style='text-align:left'> 0.00000000</td><td style='text-align:left'>(0.00%)</td><td style='text-align:left'>1.452</td><td style='text-align:left'>-100.000000</td><td style='text-align:left'> 100.000000</td><td style='text-align:right'>False</td></tr><tr><td style='text-align:left'>SiO2_n1</td><td style='text-align:left'> 36.0000000</td><td style='text-align:left'> 0.00000000</td><td style='text-align:left'>(0.00%)</td><td style='text-align:left'>36.0</td><td style='text-align:left'>-40000.0000</td><td style='text-align:left'> 40000.0000</td><td style='text-align:right'>False</td></tr><tr><td style='text-align:left'>SiO2_n2</td><td style='text-align:left'> 0.00000000</td><td style='text-align:left'> 0.00000000</td><td style='text-align:left'></td><td style='text-align:left'>0</td><td style='text-align:left'>-40000.0000</td><td style='text-align:left'> 40000.0000</td><td style='text-align:right'>False</td></tr><tr><td style='text-align:left'>SiO2_k0</td><td style='text-align:left'> 0.00000000</td><td style='text-align:left'> 0.00000000</td><td style='text-align:left'></td><td style='text-align:left'>0</td><td style='text-align:left'>-100.000000</td><td style='text-align:left'> 100.000000</td><td style='text-align:right'>False</td></tr><tr><td style='text-align:left'>SiO2_k1</td><td style='text-align:left'> 0.00000000</td><td style='text-align:left'> 0.00000000</td><td style='text-align:left'></td><td style='text-align:left'>0</td><td style='text-align:left'>-40000.0000</td><td style='text-align:left'> 40000.0000</td><td style='text-align:right'>False</td></tr><tr><td style='text-align:left'>SiO2_k2</td><td style='text-align:left'> 0.00000000</td><td style='text-align:left'> 0.00000000</td><td style='text-align:left'></td><td style='text-align:left'>0</td><td style='text-align:left'>-40000.0000</td><td style='text-align:left'> 40000.0000</td><td style='text-align:right'>False</td></tr><tr><td style='text-align:left'>SiO2_d</td><td style='text-align:left'> 276.360000</td><td style='text-align:left'> 0.00000000</td><td style='text-align:left'>(0.00%)</td><td style='text-align:left'>276.36</td><td style='text-align:left'> 0.00000000</td><td style='text-align:left'> 40000.0000</td><td style='text-align:right'>False</td></tr><tr><td style='text-align:left'>TiO2_n0</td><td style='text-align:left'> 2.22973557</td><td style='text-align:left'> 0.00472756</td><td style='text-align:left'>(0.21%)</td><td style='text-align:left'>2.236</td><td style='text-align:left'>-100.000000</td><td style='text-align:left'> 100.000000</td><td style='text-align:right'>True</td></tr><tr><td style='text-align:left'>TiO2_n1</td><td style='text-align:left'> 461.689339</td><td style='text-align:left'> 22.1724774</td><td style='text-align:left'>(4.80%)</td><td style='text-align:left'>451</td><td style='text-align:left'>-40000.0000</td><td style='text-align:left'> 40000.0000</td><td style='text-align:right'>True</td></tr><tr><td style='text-align:left'>TiO2_n2</td><td style='text-align:left'> 189.779575</td><td style='text-align:left'> 25.7876506</td><td style='text-align:left'>(13.59%)</td><td style='text-align:left'>251</td><td style='text-align:left'>-40000.0000</td><td style='text-align:left'> 40000.0000</td><td style='text-align:right'>True</td></tr><tr><td style='text-align:left'>TiO2_k0</td><td style='text-align:left'> 0.00000000</td><td style='text-align:left'> 0.00000000</td><td style='text-align:left'></td><td style='text-align:left'>0</td><td style='text-align:left'>-100.000000</td><td style='text-align:left'> 100.000000</td><td style='text-align:right'>False</td></tr><tr><td style='text-align:left'>TiO2_k1</td><td style='text-align:left'> 0.00000000</td><td style='text-align:left'> 0.00000000</td><td style='text-align:left'></td><td style='text-align:left'>0</td><td style='text-align:left'>-40000.0000</td><td style='text-align:left'> 40000.0000</td><td style='text-align:right'>False</td></tr><tr><td style='text-align:left'>TiO2_k2</td><td style='text-align:left'> 0.00000000</td><td style='text-align:left'> 0.00000000</td><td style='text-align:left'></td><td style='text-align:left'>0</td><td style='text-align:left'>-40000.0000</td><td style='text-align:left'> 40000.0000</td><td style='text-align:right'>False</td></tr><tr><td style='text-align:left'>TiO2_d</td><td style='text-align:left'> 24.8446396</td><td style='text-align:left'> 0.01013894</td><td style='text-align:left'>(0.04%)</td><td style='text-align:left'>20</td><td style='text-align:left'> 0.00000000</td><td style='text-align:left'> 40000.0000</td><td style='text-align:right'>True</td></tr></table><table class=\"jp-toc-ignore\"><caption>Correlations (unreported values are < 0.100)</caption><tr><th style='text-align:left'>Parameter1</th><th style='text-align:left'>Parameter 2</th><th style='text-align:right'>Correlation</th></tr><tr><td style='text-align:left'>TiO2_n0</td><td style='text-align:left'>TiO2_n1</td><td style='text-align:right'>-0.9910</td></tr><tr><td style='text-align:left'>TiO2_n1</td><td style='text-align:left'>TiO2_n2</td><td style='text-align:right'>-0.9879</td></tr><tr><td style='text-align:left'>TiO2_n0</td><td style='text-align:left'>TiO2_n2</td><td style='text-align:right'>+0.9640</td></tr></table>"
       ],
       "text/plain": [
-       "<lmfit.minimizer.MinimizerResult at 0x7f0fcadbac00>"
+       "<lmfit.minimizer.MinimizerResult at 0x7f2687da6e40>"
       ]
      },
      "execution_count": 9,
@@ -534,7 +554,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.3"
+   "version": "3.13.7"
   }
  },
  "nbformat": 4,
diff --git a/examples/Total internal reflection/FrustratedTIR-angle.ipynb b/examples/Total internal reflection/FrustratedTIR-angle.ipynb
deleted file mode 100644
index b2dd4ee7..00000000
--- a/examples/Total internal reflection/FrustratedTIR-angle.ipynb	
+++ /dev/null
@@ -1,281 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "0b9c5581",
-   "metadata": {},
-   "source": [
-    "# Frustrated Total Internal Reflection: Glass1 / Air / Glass2\n",
-    "\n",
-    "Author: O. Castany, C. Molinaro, M. Müller"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "1bbd6942",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import elli\n",
-    "import matplotlib.pyplot as plt\n",
-    "import numpy as np\n",
-    "from scipy.constants import pi"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "97db8c58",
-   "metadata": {},
-   "source": [
-    "## Structure definition"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "e6d124e3",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Refractive indices\n",
-    "n_f = 1.5\n",
-    "n_s = 1.0\n",
-    "n_b = 1.7\n",
-    "\n",
-    "# Materials:\n",
-    "glass1 = elli.IsotropicMaterial(elli.ConstantRefractiveIndex(n_f))\n",
-    "air = elli.IsotropicMaterial(elli.ConstantRefractiveIndex(n_s))\n",
-    "glass2 = elli.IsotropicMaterial(elli.ConstantRefractiveIndex(n_b))\n",
-    "\n",
-    "# Layer:\n",
-    "layer = elli.Layer(air, 0)\n",
-    "\n",
-    "# Structure:\n",
-    "s = elli.Structure(glass1, [layer], glass2)\n",
-    "\n",
-    "# Wavelength and wavenumber:\n",
-    "lbda = 1000\n",
-    "k0 = 2 * pi / lbda\n",
-    "\n",
-    "# Layer thickness\n",
-    "d = lbda * 0.347\n",
-    "layer.set_thickness(d)\n",
-    "\n",
-    "# Variation of incidence angle\n",
-    "Phi_list = np.deg2rad(np.linspace(0, 89, 90))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "0df34411",
-   "metadata": {
-    "lines_to_next_cell": 0
-   },
-   "source": [
-    "Analytical calculation\n",
-    "Incidence angle"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "5a5df2a9",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Reduced wavenumber\n",
-    "Kx = n_f * np.sin(Phi_list)\n",
-    "\n",
-    "Phi_s = np.arcsin((Kx / n_s).astype(complex))\n",
-    "Phi_b = np.arcsin((Kx / n_b).astype(complex))\n",
-    "\n",
-    "# Wave vector:\n",
-    "kz_f = n_f * k0 * np.cos((Phi_list.astype(complex)))\n",
-    "kz_s = k0 * np.sqrt((-(Kx**2 - n_s**2)).astype(complex))\n",
-    "kz_b = n_b * k0 * np.cos(Phi_b)\n",
-    "\n",
-    "# Amplitude coefficient for 's' polarisation:\n",
-    "r_sf_s = (kz_f - kz_s) / (kz_s + kz_f)\n",
-    "r_bs_s = (kz_s - kz_b) / (kz_s + kz_b)\n",
-    "t_sf_s = 1 + r_sf_s\n",
-    "t_bs_s = 1 + r_bs_s\n",
-    "\n",
-    "# Amplitude coefficient for 'p' polarisation:\n",
-    "r_sf_p = (kz_f * n_s**2 - kz_s * n_f**2) / (kz_s * n_f**2 + kz_f * n_s**2)\n",
-    "r_bs_p = (kz_s * n_b**2 - kz_b * n_s**2) / (kz_s * n_b**2 + kz_b * n_s**2)\n",
-    "t_sf_p = np.cos((Phi_list.astype(complex))) * (1 - r_sf_p) / np.cos(Phi_s)\n",
-    "t_bs_p = np.cos(Phi_s) * (1 - r_bs_p) / np.cos(Phi_b)\n",
-    "\n",
-    "# Power coefficients:\n",
-    "R_th_s = (\n",
-    "    np.abs(\n",
-    "        (r_sf_s + r_bs_s * np.exp(2j * kz_s * d))\n",
-    "        / (1 + r_bs_s * r_sf_s * np.exp(2j * kz_s * d))\n",
-    "    )\n",
-    ") ** 2\n",
-    "\n",
-    "t2_th_s = (\n",
-    "    np.abs(\n",
-    "        (t_bs_s * t_sf_s * np.exp(1j * kz_s * d))\n",
-    "        / (1 + r_bs_s * r_sf_s * np.exp(2j * kz_s * d))\n",
-    "    )\n",
-    ") ** 2\n",
-    "\n",
-    "R_th_p = (\n",
-    "    np.abs(\n",
-    "        (r_sf_p + r_bs_p * np.exp(2j * kz_s * d))\n",
-    "        / (1 + r_bs_p * r_sf_p * np.exp(2j * kz_s * d))\n",
-    "    )\n",
-    ") ** 2\n",
-    "\n",
-    "t2_th_p = (\n",
-    "    np.abs(\n",
-    "        (t_bs_p * t_sf_p * np.exp(1j * kz_s * d))\n",
-    "        / (1 + r_bs_p * r_sf_p * np.exp(2j * kz_s * d))\n",
-    "    )\n",
-    ") ** 2\n",
-    "\n",
-    "correction = np.real(n_b * np.cos(Phi_b) / (n_f * np.cos(Phi_list.astype(complex))))\n",
-    "# This is a correction term used in R +T*correction = 1\n",
-    "\n",
-    "T_th_s = t2_th_s * correction\n",
-    "T_th_p = t2_th_p * correction"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "605ee39b",
-   "metadata": {
-    "lines_to_next_cell": 0
-   },
-   "source": [
-    "## Calculation with pyElli"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "ba585fa0",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "data = elli.ResultList([s.evaluate(lbda, np.rad2deg(Phi_i)) for Phi_i in Phi_list])\n",
-    "\n",
-    "# Extraction of the transmission and reflexion coefficients\n",
-    "R_p = data.R_pp\n",
-    "R_s = data.R_ss\n",
-    "T_p = data.T_pp\n",
-    "T_s = data.T_ss\n",
-    "t2_p = np.abs(data.t_pp) ** 2  # Before power correction\n",
-    "t2_s = np.abs(data.t_ss) ** 2"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "f054a38b",
-   "metadata": {
-    "lines_to_next_cell": 0
-   },
-   "source": [
-    "## Plotting"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "id": "50c5ef99",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 864x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fig = plt.figure(figsize=(12.0, 6.0))\n",
-    "plt.rcParams[\"axes.prop_cycle\"] = plt.cycler(\"color\", \"bgrcmk\")\n",
-    "ax = fig.add_axes([0.1, 0.1, 0.7, 0.8])\n",
-    "\n",
-    "y = np.vstack((R_s, R_p, t2_s, t2_p, T_s, T_p)).T\n",
-    "legend1 = (\"R_s\", \"R_p\", \"t2_s\", \"t2_p\", \"T_s\", \"T_p\")\n",
-    "lines1 = ax.plot(np.rad2deg(Phi_list), y)\n",
-    "\n",
-    "y_th = np.vstack((R_th_s, R_th_p, t2_th_s, t2_th_p, T_th_s, T_th_p)).T\n",
-    "legend2 = (\"R_th_s\", \"R_th_p\", \"t2_th_s\", \"t2_th_p\", \"T_th_s\", \"T_th_p\")\n",
-    "lines2 = ax.plot(np.rad2deg(Phi_list), y_th, \"x\")\n",
-    "\n",
-    "ax.legend(\n",
-    "    lines1 + lines2,\n",
-    "    legend1 + legend2,\n",
-    "    loc=\"upper left\",\n",
-    "    bbox_to_anchor=(1.05, 1),\n",
-    "    borderaxespad=0.0,\n",
-    ")\n",
-    "\n",
-    "ax.set_title(\"FTIR: Glass1 / Air ($d$ = {:.3g} nm) / Glass2\".format(d))\n",
-    "ax.set_xlabel(r\"Reduced wave number, $Kx$\")\n",
-    "ax.set_ylabel(r\"Reflexion and transmission coefficients $R$, $T$\")\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "547dcd74",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "jupytext": {
-   "cell_metadata_filter": "-all",
-   "encoding": "# encoding: utf-8",
-   "executable": "/usr/bin/python",
-   "formats": "ipynb,auto:hydrogen",
-   "main_language": "python",
-   "notebook_metadata_filter": "-all"
-  },
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.10.6"
-  },
-  "vscode": {
-   "interpreter": {
-    "hash": "fce8773319f0403ecd2f0f37c27ee32851d93b84c4068e4fe241eeba95a951df"
-   }
-  },
-  "widgets": {
-   "application/vnd.jupyter.widget-state+json": {
-    "state": {},
-    "version_major": 2,
-    "version_minor": 0
-   }
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/examples/Total internal reflection/FrustratedTIR-thickness.ipynb b/examples/Total internal reflection/FrustratedTIR-thickness.ipynb
deleted file mode 100644
index 85c1307a..00000000
--- a/examples/Total internal reflection/FrustratedTIR-thickness.ipynb	
+++ /dev/null
@@ -1,318 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "8b2becfb",
-   "metadata": {},
-   "source": [
-    "# Frustrated Total Internal Reflection: Glass1 / Air / Glass2\n",
-    "\n",
-    "Author: O. Castany, C. Molinaro, M. Müller"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "2c23f5a4",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2024-06-28T08:33:51.210932Z",
-     "iopub.status.busy": "2024-06-28T08:33:51.210682Z",
-     "iopub.status.idle": "2024-06-28T08:33:52.564176Z",
-     "shell.execute_reply": "2024-06-28T08:33:52.563715Z",
-     "shell.execute_reply.started": "2024-06-28T08:33:51.210912Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "import elli\n",
-    "import matplotlib.pyplot as plt\n",
-    "import numpy as np\n",
-    "from scipy.constants import pi"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "9ce6a1a6",
-   "metadata": {},
-   "source": [
-    "## Structure definition"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "b80da4d7",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2024-06-28T08:33:52.565109Z",
-     "iopub.status.busy": "2024-06-28T08:33:52.564819Z",
-     "iopub.status.idle": "2024-06-28T08:33:52.568524Z",
-     "shell.execute_reply": "2024-06-28T08:33:52.568027Z",
-     "shell.execute_reply.started": "2024-06-28T08:33:52.565096Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "# Refractive indices\n",
-    "n_f = 1.5\n",
-    "n_s = 1.0\n",
-    "n_b = 1.7\n",
-    "\n",
-    "# Materials:\n",
-    "glass1 = elli.IsotropicMaterial(elli.ConstantRefractiveIndex(n_f))\n",
-    "air = elli.IsotropicMaterial(elli.ConstantRefractiveIndex(n_s))\n",
-    "glass2 = elli.IsotropicMaterial(elli.ConstantRefractiveIndex(n_b))\n",
-    "\n",
-    "# Layer:\n",
-    "layer = elli.Layer(air, 0)\n",
-    "\n",
-    "# Structure:\n",
-    "s = elli.Structure(glass1, [layer], glass2)\n",
-    "\n",
-    "# Wavelength and wavenumber:\n",
-    "lbda = 1000\n",
-    "k0 = 2 * pi / lbda\n",
-    "Phi_i = pi / 2 * 0.6  #  Incidence angle (higher than the limit angle)\n",
-    "\n",
-    "# Air thickness variation range\n",
-    "d = np.linspace(0, 1000)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "218f4fbc",
-   "metadata": {},
-   "source": [
-    "## Analytical calculation"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "ee00445c",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2024-06-28T08:33:52.569364Z",
-     "iopub.status.busy": "2024-06-28T08:33:52.569141Z",
-     "iopub.status.idle": "2024-06-28T08:33:52.578484Z",
-     "shell.execute_reply": "2024-06-28T08:33:52.578049Z",
-     "shell.execute_reply.started": "2024-06-28T08:33:52.569347Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "# Reduced wavenumber\n",
-    "Kx = n_f * np.sin(Phi_i)\n",
-    "\n",
-    "# Incidence angle\n",
-    "Phi_s = np.arcsin((complex(Kx / n_s)))\n",
-    "Phi_b = np.arcsin(Kx / n_b)\n",
-    "\n",
-    "# Wave vector:\n",
-    "kz_f = n_f * k0 * np.cos(Phi_i)\n",
-    "kz_s = k0 * np.sqrt(complex(n_s**2 - Kx**2))\n",
-    "kz_b = n_b * k0 * np.cos(Phi_b)\n",
-    "\n",
-    "# Amplitude coefficient polarisation s:\n",
-    "r_sf_s = (kz_f - kz_s) / (kz_s + kz_f)\n",
-    "r_bs_s = (kz_s - kz_b) / (kz_s + kz_b)\n",
-    "t_sf_s = 1 + r_sf_s\n",
-    "t_bs_s = 1 + r_bs_s\n",
-    "\n",
-    "# Amplitude coefficient polarisation p:\n",
-    "r_sf_p = (kz_f * n_s**2 - kz_s * n_f**2) / (kz_s * n_f**2 + kz_f * n_s**2)\n",
-    "r_bs_p = (kz_s * n_b**2 - kz_b * n_s**2) / (kz_s * n_b**2 + kz_b * n_s**2)\n",
-    "t_sf_p = np.cos(Phi_i) * (1 - r_sf_p) / np.cos(Phi_s)\n",
-    "t_bs_p = np.cos(Phi_s) * (1 - r_bs_p) / np.cos(Phi_b)\n",
-    "\n",
-    "# Power coefficients:\n",
-    "R_th_s = (\n",
-    "    np.abs(\n",
-    "        (r_sf_s + r_bs_s * np.exp(2j * kz_s * d))\n",
-    "        / (1 + r_bs_s * r_sf_s * np.exp(2j * kz_s * d))\n",
-    "    )\n",
-    ") ** 2\n",
-    "\n",
-    "t2_th_s = (\n",
-    "    np.abs(\n",
-    "        (t_bs_s * t_sf_s * np.exp(1j * kz_s * d))\n",
-    "        / (1 + r_bs_s * r_sf_s * np.exp(2j * kz_s * d))\n",
-    "    )\n",
-    ") ** 2\n",
-    "\n",
-    "R_th_p = (\n",
-    "    np.abs(\n",
-    "        (r_sf_p + r_bs_p * np.exp(2j * kz_s * d))\n",
-    "        / (1 + r_bs_p * r_sf_p * np.exp(2j * kz_s * d))\n",
-    "    )\n",
-    ") ** 2\n",
-    "\n",
-    "t2_th_p = (\n",
-    "    np.abs(\n",
-    "        (t_bs_p * t_sf_p * np.exp(1j * kz_s * d))\n",
-    "        / (1 + r_bs_p * r_sf_p * np.exp(2j * kz_s * d))\n",
-    "    )\n",
-    ") ** 2\n",
-    "\n",
-    "correction = np.real(n_b * np.cos(Phi_b) / (n_f * np.cos(Phi_i)))\n",
-    "# This is a correction term used in R +T*correction = 1\n",
-    "\n",
-    "T_th_s = t2_th_s * correction\n",
-    "T_th_p = t2_th_p * correction"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "00c39887",
-   "metadata": {},
-   "source": [
-    "## Calculation with pyElli"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "9d600576",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2024-06-28T08:33:52.579372Z",
-     "iopub.status.busy": "2024-06-28T08:33:52.579139Z",
-     "iopub.status.idle": "2024-06-28T08:33:52.609375Z",
-     "shell.execute_reply": "2024-06-28T08:33:52.608915Z",
-     "shell.execute_reply.started": "2024-06-28T08:33:52.579355Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "data = elli.ResultList()\n",
-    "\n",
-    "for dd in d:\n",
-    "    layer.set_thickness(dd)\n",
-    "    data.append(s.evaluate(lbda, np.rad2deg(Phi_i)))\n",
-    "\n",
-    "# Extraction of the transmission and reflexion coefficients\n",
-    "R_p = data.R_pp\n",
-    "R_s = data.R_ss\n",
-    "T_p = data.T_pp\n",
-    "T_s = data.T_ss\n",
-    "t2_p = np.abs(data.t_pp) ** 2  # Before power correction\n",
-    "t2_s = np.abs(data.t_ss) ** 2"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "20fdd68e",
-   "metadata": {
-    "lines_to_next_cell": 0
-   },
-   "source": [
-    "## Plotting"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "id": "b528881f",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2024-06-28T08:36:27.036582Z",
-     "iopub.status.busy": "2024-06-28T08:36:27.036360Z",
-     "iopub.status.idle": "2024-06-28T08:36:27.136751Z",
-     "shell.execute_reply": "2024-06-28T08:36:27.136183Z",
-     "shell.execute_reply.started": "2024-06-28T08:36:27.036570Z"
-    }
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1200x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fig = plt.figure(figsize=(12.0, 6.0))\n",
-    "plt.rcParams[\"axes.prop_cycle\"] = plt.cycler(\"color\", \"bgrcmk\")\n",
-    "ax = fig.add_axes([0.1, 0.1, 0.7, 0.8])\n",
-    "\n",
-    "y = np.vstack((R_s, R_p, t2_s, t2_p, T_s, T_p)).T\n",
-    "legend1 = (\"R_s\", \"R_p\", \"t2_s\", \"t2_p\", \"T_s\", \"T_p\")\n",
-    "lines1 = ax.plot(d, y)\n",
-    "\n",
-    "y_th = np.vstack((R_th_s, R_th_p, t2_th_s, t2_th_p, T_th_s, T_th_p)).T\n",
-    "legend2 = (\"R_th_s\", \"R_th_p\", \"t2_th_s\", \"t2_th_p\", \"T_th_s\", \"T_th_p\")\n",
-    "lines2 = ax.plot(d, y_th, \"x\")\n",
-    "\n",
-    "ax.legend(\n",
-    "    lines1 + lines2,\n",
-    "    legend1 + legend2,\n",
-    "    loc=\"upper left\",\n",
-    "    bbox_to_anchor=(1.05, 1),\n",
-    "    borderaxespad=0.0,\n",
-    ")\n",
-    "\n",
-    "ax.set_title(\n",
-    "    \"FTIR: Glass1 / Air (d) / Glass2, for incidence angle \"\n",
-    "    + \"$Φ_i$ = {:.0f}°\".format(Phi_i * 180 / pi)\n",
-    ")\n",
-    "ax.set_xlabel(r\"Air layer thickness, $d$ (nm)\")\n",
-    "ax.set_ylabel(r\"Reflexion and transmission coefficients $R$, $T$\")\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "ed1ff736",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "jupytext": {
-   "cell_metadata_filter": "-all",
-   "encoding": "# encoding: utf-8",
-   "executable": "/usr/bin/python",
-   "formats": "ipynb,auto:hydrogen",
-   "main_language": "python",
-   "notebook_metadata_filter": "-all"
-  },
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.12.3"
-  },
-  "vscode": {
-   "interpreter": {
-    "hash": "fce8773319f0403ecd2f0f37c27ee32851d93b84c4068e4fe241eeba95a951df"
-   }
-  },
-  "widgets": {
-   "application/vnd.jupyter.widget-state+json": {
-    "state": {},
-    "version_major": 2,
-    "version_minor": 0
-   }
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/examples/Total internal reflection/TIR.ipynb b/examples/Total internal reflection/TIR.ipynb
index 06d9c2ce..c5d56786 100644
--- a/examples/Total internal reflection/TIR.ipynb	
+++ b/examples/Total internal reflection/TIR.ipynb	
@@ -7,7 +7,9 @@
    "source": [
     "# Example of Total Internal Reflection on the Glass / Air interface\n",
     "\n",
-    "Author: O. Castany, M.Müller"
+    "Author: O. Castany, M.Müller\n",
+    "\n",
+    "This notebook demonstrates the phenomenon of Total Internal Reflection (TIR) at the interface between glass and air using the pyElli library. The simulation calculates the reflection coefficients Rp and Rs as a function of the angle of incidence."
    ]
   },
   {
@@ -15,6 +17,13 @@
    "execution_count": 1,
    "id": "1af63167",
    "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-10-14T21:32:20.526083Z",
+     "iopub.status.busy": "2025-10-14T21:32:20.525832Z",
+     "iopub.status.idle": "2025-10-14T21:32:21.942627Z",
+     "shell.execute_reply": "2025-10-14T21:32:21.942118Z",
+     "shell.execute_reply.started": "2025-10-14T21:32:20.526068Z"
+    },
     "lines_to_next_cell": 2
    },
    "outputs": [],
@@ -29,7 +38,11 @@
    "id": "dea325fe",
    "metadata": {},
    "source": [
-    "## Structure definition"
+    "## Structure definition\n",
+    "\n",
+    "The structure is defined as a simple interface between a denser medium (Glass, the incident half-space) and a less dense medium (Air, the outgoing half-space).\n",
+    "\n",
+    "The critical angle for TIR is calculated by Snell's Law: Φ_c = arcsin(n_air / n_glass). With n_glass = 1.5 and n_air = 1.0, the critical angle should be Φ_c ≈ 41.81°."
    ]
   },
   {
@@ -37,25 +50,36 @@
    "execution_count": 2,
    "id": "58b82a07",
    "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-10-14T21:32:21.943505Z",
+     "iopub.status.busy": "2025-10-14T21:32:21.943096Z",
+     "iopub.status.idle": "2025-10-14T21:32:21.946143Z",
+     "shell.execute_reply": "2025-10-14T21:32:21.945842Z",
+     "shell.execute_reply.started": "2025-10-14T21:32:21.943492Z"
+    },
     "lines_to_next_cell": 2
    },
    "outputs": [],
    "source": [
-    "# Refractive indices\n",
+    "# Refractive indices (wavelength is irrelevant for non-dispersive materials)\n",
     "n_glass = 1.5\n",
     "n_air = 1.0\n",
     "\n",
     "# Materials:\n",
+    "# Isotropic material definition for Glass (Incident Medium)\n",
     "glass = elli.IsotropicMaterial(elli.ConstantRefractiveIndex(n_glass))\n",
+    "# Isotropic material definition for Air (Outgoing Medium)\n",
     "air = elli.IsotropicMaterial(elli.ConstantRefractiveIndex(n_air))\n",
     "\n",
     "# Structure:\n",
+    "# Light is incident from the glass medium onto the air medium (Glass -> Air).\n",
+    "# The empty list '[]' indicates no intermediate layers.\n",
     "s = elli.Structure(glass, [], air)\n",
     "\n",
-    "# Wavelength\n",
+    "# Wavelength (a single value is sufficient for non-dispersive materials)\n",
     "lbda = 1000  # nm\n",
     "\n",
-    "# Variation of incidence angle\n",
+    "# Variation of incidence angle (Phi) from normal incidence to glancing incidence\n",
     "Phi_list = np.linspace(0, 89, 90)"
    ]
   },
@@ -64,7 +88,9 @@
    "id": "2f3b9632",
    "metadata": {},
    "source": [
-    "## Calculation"
+    "## Calculation\n",
+    "\n",
+    "We iterate the pyElli evaluation over the list of incidence angles, Phi_list, to calculate the reflection and transmission properties for each angle. The results are collected into an elli.ResultList object for easy access."
    ]
   },
   {
@@ -72,6 +98,13 @@
    "execution_count": 3,
    "id": "4907ea29",
    "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-10-14T21:32:21.946695Z",
+     "iopub.status.busy": "2025-10-14T21:32:21.946540Z",
+     "iopub.status.idle": "2025-10-14T21:32:21.972773Z",
+     "shell.execute_reply": "2025-10-14T21:32:21.972471Z",
+     "shell.execute_reply.started": "2025-10-14T21:32:21.946679Z"
+    },
     "lines_to_next_cell": 2
    },
    "outputs": [],
@@ -84,7 +117,9 @@
    "id": "7497a521",
    "metadata": {},
    "source": [
-    "## Plotting"
+    "## Plotting\n",
+    "\n",
+    "The plot displays the power reflection coefficients for p-polarized light (R_pp) and s-polarized light (R_ss) versus the angle of incidence. Total Internal Reflection occurs when both coefficients jump to 1.0 at the critical angle."
    ]
   },
   {
@@ -92,20 +127,25 @@
    "execution_count": 4,
    "id": "b127e651",
    "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-10-14T21:32:21.973234Z",
+     "iopub.status.busy": "2025-10-14T21:32:21.973122Z",
+     "iopub.status.idle": "2025-10-14T21:32:22.247969Z",
+     "shell.execute_reply": "2025-10-14T21:32:22.247650Z",
+     "shell.execute_reply.started": "2025-10-14T21:32:21.973224Z"
+    },
     "lines_to_next_cell": 2,
     "scrolled": true
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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xmGpwDDLX+AOFiOzH4cPEc3NzkZCQgISEBACmYeAJCQlITEwEYGpeGj58uLn8K6+8gitXrmDGjBk4d+4cPvroI3z55ZeYOnVqpcUokUjgrpQ7ZLNlFmCpVIrXX38dc+fORUFBQYXO+f33ux3C9Ho94uLi0KJFi3LL3LlzBxcuXChVhsgezDU4THCIyEoOT3BOnDiBdu3aoV27dgCAqKgotGvXDvPnzwcA3Lx505zsAEBoaCh2796Nffv2oU2bNli2bBk++eQTDhEvx7PPPguZTFbheYZWrVqFHTt24Ny5c5gwYQLu3LmDl156yaLMm2++idjYWJw5cwYjR46En58fnn766UqInlyd1KAFABhlbg6OhIiqG4c3UXXv3h2CIJR7vKxZirt3746TJ09WYlTOQy6XY+LEiXjnnXcwbtw41KhR457llyxZgiVLliAhIQGNGzfGd999Bz8/v1JlJk+ejIsXL6Jt27b4/vvvoVSyjwTZn9RoaqISWINDRFZyeIJD9lPekhWzZs3CrFmzKnSNFi1a4NixY/cs88gjj+DMmTPWhkdkNVlRHxw2URGRtRzeREVEVB5ZUQ0OmOAQkZWY4LiIxYsXw8PDo8zNmqUyiB4keXETlbzsKSCIiMrDJioX8corr5Q7EZ9arUbdunXv2RcKuH9/KSJ7kxlNnYyhYA0OEVmHCY6L8PX1ha+vr6PDILKKOcFhExURWYlNVERUZRU3UUHOYeJEZB0mOERUZSmE4iYqJjhEZB0mOERUZSmKmqgkrMEhIisxwSGiKqu4BkfCGhwishITHCKqspjgEJFYTHCIqGoSBChhSnCkTHCIyEpMcJzIyJEjIZFIIJFIoFAoEBoaihkzZqCwsNDRoRFZT68xv5UqOdEfEVmH8+A4mT59+mDDhg3Q6XSIi4vDiBEjIJFIsHTpUkeHRmQd/d3EnDU4RGQt1uA4GZVKhcDAQAQHB+Ppp59GZGQk9u3bd9/ztFotJk6ciKCgILi5uaF+/fqIjo4GAAiCgDfeeAMhISFQqVSoU6cOXn311cr+KOTqimpwjIIEMjkn+iMi67AGpyIEAdDlO+beCndAIhF16pkzZ3DkyBHUr1//vmXff/99fPfdd/jyyy8REhKCpKQkJCUlAQC+/vprvPfee9i2bRtatmyJlJQUnDp1SlRMRBWmLwAAaKCAQs6/xYjIOkxwKkKXDyyu45h7v54MKGtUuPiuXbvg4eEBvV4PjUYDqVSKDz/88L7nJSYmokmTJnjkkUcgkUgskqLExEQEBgYiMjISCoUCISEh6Nixo6iPQ1RhRTU4hVBCLmOCQ0TW4VPDyfTo0QMJCQk4duwYRowYgVGjRmHQoEH3PW/kyJFISEhAs2bN8Oqrr2Lv3r3mY88++ywKCgrQsGFDjB07Fjt27IBer6/Mj0Fk7oOjgQJyqbhaTCJyXazBqQiFu6kmxVH3tkKNGjXQuHFjAMD69evRpk0brFu3DqNHj77nee3bt8fVq1fxww8/YP/+/XjuuecQGRmJr776CsHBwTh//jz279+Pffv2Yfz48Xj33Xfxyy+/QKFQiP5oRPdUVIOjERRQsAaHiKzEBKciJBKrmomqCqlUitdffx1RUVF4/vnnoVbfe6itl5cXBg8ejMGDB+OZZ55Bnz59kJGRAV9fX6jVavTv3x/9+/fHhAkT0Lx5c/z5559o3779A/o05HJK1uDIWINDRNbhn0VO7tlnn4VMJsOqVavuWW758uXYunUrzp07hwsXLmD79u0IDAyEj48PNm7ciHXr1uHMmTO4cuUKPv/8c6jV6gp1XiYSTWdKcAqhhELKRxURWYdPDScnl8sxceJEvPPOO8jLyyu3nKenJ9555x2Eh4fj4YcfxrVr17Bnzx5IpVL4+Phg7dq16NKlC1q3bo39+/fj+++/R61atR7gJyGXwxocIrKBRBAEwdFBPGjZ2dnw9vZGVlYWvLy8LI4VFhbi6tWrCA0NhZsbJxezB/5OSZTT24FvxuCQoSWazvgZ/p78b4fI1d3r3+9/Yw0OEVVJRl3xPDhsoiIi6/Gp4SIWL14MDw+PMre+ffs6OjyiUgzauxP9sYmKiKzFUVQu4pVXXsFzzz1X5rH7ja4icgRjyU7GHCZORFZiguMifH194evr6+gwiCrM3EQlcKI/IrIe/ywioirJqCua6A8KyJjgEJGVmOCUw2g0OjoEp8HfJYkhFC1wq5coIRG54CwRuS42Uf2LUqmEVCpFcnIyateuDaWSD1exBEGAVqvFrVu3IJVKoVQqHR0SVSNCUQ2OVqJycCREVB0xwfkXqVSK0NBQ3Lx5E8nJDlp/ysm4u7sjJCQEUg71JSsIRZ2MdVKud0ZE1mOCUwalUomQkBDo9XoYDAZHh1OtyWQyyOVy1oKR9YpmMtazBoeIRGCCUw6JRAKFQsHVsokcRDAnOGzaJCLrsc2AiKokSVETlV7KGhwish4THCKqmgymTsYGGWtwiMh6THCIqEqS6E0JDpuoiEgMJjhEVCVJDKYmKqOMTVREZD0mOERUJUmKOhkbmOAQkQhMcIioSpIU98GRujk4EiKqjpjgEFGVJC1KcAR2MiYiEZjgEFGVJDVoAQBGDhMnIhGY4BBRlSQr7mQsZ4JDRNZjgkNEVY8gQGYsaqKSqx0cDBFVR0xwiKjqKWqeAtgHh4jEYYJDRFVP0RBxAICMo6iIyHpMcIio6imaxdgoSAA5a3CIyHpMcIio6tEVAAA0UEAukzk4GCKqjpjgEFHVU1SDo4ECCpnEwcEQUXXEBIeIqp6iPjimGhwmOERkPSY4RFT1FNfgCArIpXxMEZH1+OQgoqpHX9wHR8kmKiIShQkOEVU9RTU4hVBALuNjioisxycHEVU95j44SiikrMEhIusxwSGiqqdkHxzW4BCRCHxyEFHVYzEPDmtwiMh6THCIqOopaqIqhBIKjqIiIhH45CCiqqfERH+swSEiMapEgrNq1So0aNAAbm5u6NSpE44fP37P8itWrECzZs2gVqsRHByMqVOnorCw8J7nEFE1UtzJmH1wiEgkhz85vvjiC0RFRWHBggWIj49HmzZt0Lt3b6SlpZVZfsuWLZg1axYWLFiAs2fPYt26dfjiiy/w+uuvP+DIiajSlFyqgaOoiEgEhyc4y5cvx9ixYzFq1CiEhYUhJiYG7u7uWL9+fZnljxw5gi5duuD5559HgwYN8Pjjj2Po0KH3rfUhomqkxER/rMEhIjEc+uTQarWIi4tDZGSkeZ9UKkVkZCSOHj1a5jmdO3dGXFycOaG5cuUK9uzZgyeeeKLc+2g0GmRnZ1tsRFSFlZjojzMZE5EYckfePD09HQaDAQEBARb7AwICcO7cuTLPef7555Geno5HHnkEgiBAr9fjlVdeuWcTVXR0NBYuXGjX2ImoEpn74Ci5FhURiVLtnhwHDx7E4sWL8dFHHyE+Ph7ffPMNdu/ejUWLFpV7zuzZs5GVlWXekpKSHmDERGQ1jqIiIhs5tAbHz88PMpkMqampFvtTU1MRGBhY5jnz5s3Diy++iDFjxgAAHnroIeTl5eG///0v5syZA2kZf+2pVCqoVCr7fwAiqhwlJvpjExURieHQGhylUokOHTogNjbWvM9oNCI2NhYRERFlnpOfn18qiZHJZAAAQRAqL1gienDMfXDYREVE4ji0BgcAoqKiMGLECISHh6Njx45YsWIF8vLyMGrUKADA8OHDUbduXURHRwMA+vfvj+XLl6Ndu3bo1KkTLl26hHnz5qF///7mRIeIqjmLeXBYg0NE1nN4gjN48GDcunUL8+fPR0pKCtq2bYsff/zR3PE4MTHRosZm7ty5kEgkmDt3Lm7cuIHatWujf//+ePvttx31EYjI3krOg8Nh4kQkgkRwwXad7OxseHt7IysrC15eXo4Oh4j+7eOuwM1TGKmdjsmvTEC7kJqOjoiIqgBr/v3mn0ZEVPWYa3CUrMEhIlH45CCiqod9cIjIRkxwiKjqKVGDw1FURCQGnxxEVPUU1eBwqQYiEosJDhFVPbqiJioouNgmEYnCJwcRVS2CYLEWlULKGhwish4THCKqWgw6AKbZK1iDQ0Ri8clBRFVLUe0NwMU2iUg8JjhEVLX8K8FRcBQVEYnAJwcRVS3FI6gEBQAJa3CISBQmOERUtZRYhwoA5OxkTEQiMMEhoqqleAQVlJBLJZBImOAQkfWY4BBR1aLjMg1EZDsmOERUtZhnMVaygzERiWb10+P69evYu3cvUlJSyjyenJxsc1BE5MJK9MFhDQ4RiWVVgrN161Y0btwYffr0QcOGDbFp0yYAQGJiIpYsWYJOnTohJCSkUgIlIheh5zINRGQ7q54eixYtwqRJk/Dnn3+iV69eGDduHObNm4dGjRph48aNCA8Px/bt2ysrViJyBfq7fXC4TAMRiSW3pvDly5cxefJk1K9fH6tWrUJISAgOHz6M06dPo0WLFpUVIxG5EtbgEJEdWPX00Ol0UKvVAIB69erBzc0N//vf/5jcEJH9lOhkzD44RCSW1X8ebdmyBefOnQMAyGQy1KxZ0+5BEZELK9HJmKOoiEgsq54ejz76KBYsWICWLVvCz88PhYWFWLlyJb788kv8/fff0Ov1lRUnEbkKcx8c1uAQkXhW9cH55ZdfAAAXL15EXFwc4uPjER8fj88++wyZmZlQKpVo2rQpTp8+XSnBEpEL0LEPDhHZzqoEp1iTJk3QpEkTDBkyxLzv6tWrOHHiBE6ePGm34IjIBVlM9McaHCISR1SCU5bQ0FCEhobi2WeftdclicgVcaI/IrID1v8SUdVSch4cNlERkUh8ehBR1VJyHhw2URGRSExwiKhqsZgHh48oIhKHTw8iqlpKzoPDPjhEJJKoBKegoAD5+fnmn69fv44VK1Zg7969dguMiFxUiT44ck70R0QiiXp6DBgwAJ999hkAIDMzE506dcKyZcswYMAArF692q4BEpGLMc+Dw4n+iEg8UQlOfHw8Hn30UQDAV199hYCAAFy/fh2fffYZ3n//fbsGSEQupkQnYy7VQERiiXp65Ofnw9PTEwCwd+9eDBw4EFKpFP/5z39w/fp1uwZIRC6mqA8OF9skIluISnAaN26MnTt3IikpCT/99BMef/xxAEBaWhq8vLzsGiARuRjOg0NEdiDq6TF//nxMmzYNDRo0QKdOnRAREQHAVJvTrl07uwZIRC6m5EzGnAeHiEQStVRDx44dce3aNaSmpqJNmzbm/T179sTAgQPtFhwRuSB9AQAutklEthH19AgNDYVcLke7du0gLdEJsFGjRggLC7NbcETkgkr0weE8OEQklqgERxCEMvfn5ubCzc3NpoCIyIUJAufBISK7sKqJKioqCgAgkUgwf/58uLu7m48ZDAYcO3YMbdu2tWuARORCjHpAMALgauJEZBurEpyTJ08CMNXg/Pnnn1AqleZjSqUSbdq0wbRp0+wbIRG5Dl2B+a2GTVREZAOrEpwDBw4AAEaNGoWVK1dySDgR2VdR/xugeBQVm6iISBxRo6g2bNhg7ziIiMz9b3QSBQAJa3CISDRRCQ4AxMbGIjY2FmlpaTAajRbH1q9fb3NgROSCimpwdBJT8zeHiRORWKISnIULF+LNN99EeHg4goKCIJHwrywisoOiOXB0KEpwONEfEYkkKsGJiYnBxo0b8eKLL9o7HiJyZUU1ONqiGhwu1UBEYol6emi1WnTu3NnesRCRqyvqg6MtrsFhHxwiEklUgjNmzBhs2bLF3rEQkasrnuRPogAAjqIiItFENVEVFhZizZo12L9/P1q3bg2FQmFxfPny5XYJjohcTHETFYqbqFiDQ0TiiEpwTp8+bZ6x+MyZMxbH2OGYiETT3V1oE+AoKiIST1SCUzzhHxGRXRXV4GiKa3A4ioqIROKfR0RUdRT1wSkUWINDRLYR/fT47bffMGzYMERERODGjRsAgE2bNuHQoUN2C46IXIy5Bqc4wWENDhGJIyrB+frrr9G7d2+o1WqcPHkSGo3poZSVlYXFixfbNUAiciFFE/0V1+AoOIqKiEQS9fR46623EBMTg7Vr11qMoOrSpQvi4+PtFhwRuZiiGpy7TVSswSEicUQlOOfPn0fXrl1L7ff29kZmZqatMRGRqyrqg1NQXIPDBIeIRBKV4AQGBuLSpUul9h86dAgNGza0OSgiclFFNTjFCQ4n+iMisUQ9PcaOHYvJkyfj2LFjkEgkSE5OxubNmzFt2jSMGzfO3jESkasomgenwGiawYJNVEQklqgEZ9asWXj++efRs2dP5ObmomvXrhgzZgxefvllTJo0yerrrVq1Cg0aNICbmxs6deqE48eP37N8ZmYmJkyYgKCgIKhUKjRt2hR79uwR81GIqCox1+CYEhwutklEYoma6E8ikWDOnDmYPn06Ll26hNzcXISFhcHDw8Pqa33xxReIiopCTEwMOnXqhBUrVqB37944f/48/P39S5XXarXo1asX/P398dVXX6Fu3bq4fv06fHx8xHwUIqpKzH1wihbb5ER/RCRShROcqKgoLFq0CDVq1EBUVNQ9y1qzFtXy5csxduxYjBo1CgAQExOD3bt3Y/369Zg1a1ap8uvXr0dGRgaOHDliHsHVoEGDCt+PiKqwf81kzIn+iEisCic4J0+ehE6nM78vjzVrUWm1WsTFxWH27NnmfVKpFJGRkTh69GiZ53z33XeIiIjAhAkT8O2336J27dp4/vnnMXPmTMhksjLP0Wg05rl6ACA7O7vCMRLRA1S8mjhHURGRjSqc4JRcf8pea1Glp6fDYDAgICDAYn9AQADOnTtX5jlXrlzBzz//jBdeeAF79uzBpUuXMH78eOh0OixYsKDMc6Kjo7Fw4UK7xExElag4wQFHURGRbard08NoNMLf3x9r1qxBhw4dMHjwYMyZMwcxMTHlnjN79mxkZWWZt6SkpAcYMRFVWPFaVMWLbbIGh4hEEtXJODo6GgEBAXjppZcs9q9fvx63bt3CzJkzK3QdPz8/yGQypKamWuxPTU1FYGBgmecEBQVBoVBYNEe1aNECKSkp0Gq1UCqVpc5RqVRQqVQViomIHKjEWlQyqcSqJm8iopJE1eB8/PHHaN68ean9LVu2vGdNyr8plUp06NABsbGx5n1GoxGxsbGIiIgo85wuXbrg0qVLMBqN5n0XLlxAUFBQmckNEVUjJfrgcAQVEdlCVIKTkpKCoKCgUvtr166NmzdvWnWtqKgorF27Fp9++inOnj2LcePGIS8vzzyqavjw4RadkMeNG4eMjAxMnjwZFy5cwO7du7F48WJMmDBBzEchoqpEd7cPDufAISJbiGqiCg4OxuHDhxEaGmqx//Dhw6hTp45V1xo8eDBu3bqF+fPnIyUlBW3btsWPP/5o7nicmJgIaYmOhsHBwfjpp58wdepUtG7dGnXr1sXkyZMr3CxGRFWYuZOxkrMYE5FNRCU4Y8eOxZQpU6DT6fDYY48BAGJjYzFjxgy89tprVl9v4sSJmDhxYpnHDh48WGpfREQEfv/9d6vvQ0RVXPFq4lBwBBUR2URUgjN9+nTcvn0b48ePh1arBQC4ublh5syZFs1JRERWMffBUXIEFRHZRPRSDUuXLsW8efNw9uxZqNVqNGnShCOViEg8gw4QDABMfXC8mOAQkQ1EJTjFPDw88PDDD9srFiJyZUW1N0BRJ2M2URGRDRy+FhUREQBz/xvAlOCwkzER2ULUWlTx8fHlTsDFibmISJSiGhyjVAEBUnYyJiKbVDjBWblyJby8vACUPbKJiMgmRTU4RpmpLx87GRORLSr8J1K7du2Qnp4OAGjYsCFu375daUERkQvSFQAADFJTgiPnRH9EZIMKP0F8fHxw9epVAMC1a9cslkogIrJZUQ2OoagGh0s1EJEtKtxENWjQIHTr1g1BQUGQSCQIDw+3WPCypCtXrtgtQCJyEUV9cIprcLhUAxHZosIJzpo1azBw4EBcunQJr776KsaOHQtPT8/KjI2IXElRgqOXmhbN5SgqIrJFhROc06dP4/HHH0efPn0QFxeHyZMnM8EhIvsprsGRFDdRsQaHiMQT1cn4l19+MS/RQERkF/+qweEoKiKyBTsZE1HVUNTJWMdRVERkB+xkTERVQ3ENjqSoBoejqIjIBuxkTERVg86U4Ogk7GRMRLazarHNPn36AAA7GROR/emLExwFADZREZFtRD1BNmzYgISEBAwbNgydO3fGjRs3AACbNm3CoUOH7BogEbkIXT4AQCtxA8AmKiKyjagE5+uvv0bv3r2hVqsRHx8PjcbUOTArKwuLFy+2a4BE5CJybppeFL4AWINDRLYR9QR56623EBMTg7Vr10KhUJj3d+nSBfHx8XYLjohcSLYpwcmU1wbAPjhEZBtRCc758+fRtWvXUvu9vb2RmZlpa0xE5IqykwEAmbJaAAAFJ/ojIhuIeoIEBgbi0qVLpfYfOnQIDRs2tDkoInJBOaYEJ4M1OERkB6ISnLFjx2Ly5Mk4duwYJBIJkpOTsXnzZkybNg3jxo2zd4xE5Oy0eUBhFgAgQ1pUg8M+OERkA6uGiRebNWsWjEYjevbsifz8fHTt2hUqlQrTpk3DpEmT7B0jETm7ov43UHogV3AHkAk5R1ERkQ1EJTgSiQRz5szB9OnTcenSJeTm5iIsLAweHh72jo+IXEFR8xQ8g6ATTG85ioqIbCEqwSmmVCoRFhZmr1iIyFUVdTCGVxD0BtM6d1xsk4hsITrByczMxLp163D27FkAQFhYGEaPHg1vb2+7BUdELsKc4NSFLttUhSPnKCoisoGoJ8iJEyfQqFEjvPfee8jIyEBGRgbee+89NGrUiPPgEJH1su82UemNphocjqIiIluIqsGZOnUqnnrqKaxduxZyuekSer0eY8aMwZQpU/Drr7/aNUgicnJFsxjDqw70BlMNDpuoiMgWohKcEydOWCQ3ACCXyzFjxgyEh4fbLTgichHZpvXs4FUHuqI+OGyiIiJbiHqCeHl5ITExsdT+pKQkrjBORNbLLlGDY2QNDhHZTlSCM3jwYIwePRpffPEFkpKSkJSUhG3btmHMmDEYOnSovWMkImdm0AG5qab3nnXMo6hYg0NEthDVRPW///0PEokEw4cPh16vBwAoFAqMGzcOS5YssWuAROTkclMBCIBUDtSoDZ3hAgB2MiYi24hKcJRKJVauXIno6GhcvnwZANCoUSO4u7vbNTgicgElRlBBKjWPouJSDURkC1EJTnR0NAICAvDSSy/hoYceMu9fv349bt26hZkzZ9otQCJycuY5cOoAgHkUFZdqICJbiPoT6eOPP0bz5s1L7W/ZsiViYmJsDoqIXEjJGhwAOvM8OKzBISLxRD1BUlJSEBQUVGp/7dq1cfPmTZuDIiIXknN3FmMAnAeHiOxCVIITHByMw4cPl9p/+PBh1KlTx+agiMiFmIeIF9XgGLhUAxHZTlQfnLFjx2LKlCnQ6XR47LHHAACxsbGYMWMGXnvtNbsGSERO7t99cIxcbJOIbCcqwZk+fTpu376N8ePHQ6vVAgDc3Nwwc+ZMzJ49264BEpGTK26i8vxXJ2P2wSEiG4hKcCQSCZYuXYp58+bh7NmzUKvVaNKkCVQqlb3jIyJnJggWsxgDKLFUA2twiEg8UQlOMQ8PDzz88MP2ioWIXE1+BmDQmN4XjaK6u1QDa3CISDw+QYjIcYoX2axRG5ArIQgCDMbiJirW4BCReExwiMhxcoqapzwtR1ABgIKjqIjIBnyCEJHjFNfg/GsEFcAaHCKyDRMcInKcUh2M79bgMMEhIluI7mQcGxuL2NhYpKWlwVjiry7AtCYVEdF9Zf97iPjdZwmbqIjIFqISnIULF+LNN99EeHg4goKCIJHwLy0iEiHn35P8mWpwpBJAymHiRGQDUQlOTEwMNm7ciBdffNHe8RCRKzHPYlzcyZgLbRKRfYh6imi1WnTu3NnesRCRqzH3wfnXQpusvSEiG4lKcMaMGYMtW7bYOxYiciWaXECTZXpvnuSPNThEZB+imqgKCwuxZs0a7N+/H61bt4ZCobA4vnz5crsER0ROrHgOHKUn4OYF4O4oKi60SUS2EpXgnD59Gm3btgUAnDlzxuIYOxwTUYX8q/8NUGKhTY6gIiIbiUpwDhw4YO84iMjVZFuOoAIAnbmJin8oEZFt+GcSETlGjuUcOECJTsbsg0NENhI90V9mZibWrVuHs2fPAgDCwsIwevRoeHt72y04InJiZdTgFE/0J+coKiKykag/k06cOIFGjRrhvffeQ0ZGBjIyMvDee++hUaNGiI+Pt3eMROSMzEPE7/bB0ZlXEmcNDhHZRtRTZOrUqXjqqadw7do1fPPNN/jmm29w9epVPPnkk5gyZYqoQFatWoUGDRrAzc0NnTp1wvHjxyt03rZt2yCRSPD000+Lui8ROYh5oc265l3FNTgcRUVEthJdgzNz5kzI5XdbuORyOWbMmIETJ05Yfb0vvvgCUVFRWLBgAeLj49GmTRv07t0baWlp9zzv2rVrmDZtGh599FGr70lEDlY8TNyzRA2OeRQVExwiso2oBMfLywuJiYml9iclJcHT09Pq6y1fvhxjx47FqFGjEBYWhpiYGLi7u99z0U6DwYAXXngBCxcuRMOGDa2+JxE5kEEH5Bb9AVOyBocT/RGRnYh6igwePBijR4/GF198gaSkJCQlJWHbtm0YM2YMhg4datW1tFot4uLiEBkZeTcoqRSRkZE4evRouee9+eab8Pf3x+jRo8V8BCJypJwUAAIgVQDutcy79Zzoj4jsRNQoqv/973+QSCQYPnw49Ho9AEChUGDcuHFYsmSJVddKT0+HwWBAQECAxf6AgACcO3euzHMOHTqEdevWISEhoUL30Gg00Gg05p+zs7OtipGI7KzkJH8lJvUzL7bJif6IyEainiJKpRIrV67EnTt3kJCQgISEBPNIKpVKZe8YLeTk5ODFF1/E2rVr4efnV6FzoqOj4e3tbd6Cg4MrNUYiuo8y5sABAL2RNThEZB+i58EBAHd3dzz00EM2BeDn5weZTIbU1FSL/ampqQgMDCxV/vLly7h27Rr69+9v3mcsbreXy3H+/Hk0atTI4pzZs2cjKirK/HN2djaTHCJHKmOIOFByHhzW4BCRbSqc4ERFRWHRokWoUaOGRbJQFmsW21QqlejQoQNiY2PNQ72NRiNiY2MxceLEUuWbN2+OP//802Lf3LlzkZOTg5UrV5aZuKhUqkqvWSIiK2T9Y3r9Vw2OeRQVa3CIyEYVTnBOnjwJnU5nfm9PUVFRGDFiBMLDw9GxY0esWLECeXl5GDVqFABg+PDhqFu3LqKjo+Hm5oZWrVpZnO/j4wMApfYTURWVWrRIb+1mFruLR1FxqQYislWFE5ySC2zae7HNwYMH49atW5g/fz5SUlLQtm1b/Pjjj+aOx4mJiZCyyprIOQgCkHLa9D6otcUhzoNDRPYiejXxHj16lHns448/xssvv2z1NSdOnFhmkxQAHDx48J7nbty40er7EZGDZP0DFNwBpHLAP8zikN7ApRqIyD5EPUX69OmD6dOnm5usANNw7/79+2PWrFl2C46InNDNU6bX2i0AuWXfuLtNVKzBISLbiEpwDhw4gB07duDhhx/G33//jd27d6NVq1bIzs6u8Nw0ROSiymmeAko2UbEGh4hsI+op0rlzZyQkJKBVq1Zo3749/u///g9Tp07FwYMHUb9+fXvHSETO5GZxgtOm1CEutklE9iL6z6QLFy7gxIkTqFevnnn+mfz8fHvGRkTOqLiJKrB0DU7xRH8cJk5EthKV4CxZsgQRERHo1asXzpw5g+PHj+PkyZNo3br1PdePIiIXl5deNIuxBAgsPa0Dl2ogInsR9RRZuXIldu7ciQ8++MA8L83x48cxcOBAdO/e3c4hEpHTKK69qdUIUHmWOszFNonIXkQNE//zzz9LrQOlUCjw7rvv4sknn7RLYETkhO7RPAUAuuJlVzhMnIhsJOopcq9FLrt16yY6GCJycvcYQQWUmAeHE/0RkY1E/5n022+/YdiwYYiIiMCNGzcAAJs2bcKhQ4fsFhwROZniEVTl1OBwqQYishdRT5Gvv/4avXv3hlqtxsmTJ6HRaAAAWVlZWLx4sV0DJCInUZgNZFw2vS9jiDjAxTaJyH5EJThvvfUWYmJisHbtWigUCvP+Ll26ID4+3m7BEZETKV5g06suUKPsZm7zPDgcRUVENhL1FDl//jy6du1aar+3tzcyMzNtjYmInNF9mqcAzoNDRPYjKsEJDAzEpUuXSu0/dOgQGjZsaHNQROSEUsqfwbiYeR4c9sEhIhuJeoqMHTsWkydPxrFjxyCRSJCcnIzNmzdj2rRpGDdunL1jJCJnUDxEvJwRVMDdUVRK1uAQkY1EzYMza9YsGI1G9OzZE/n5+ejatStUKhWmTZuGSZMm2TtGIqru9Brg1jnT+3s0UemMXGyTiOxDVIIjkUgwZ84cTJ8+HZcuXUJubi7CwsLg4eFh7/iIyBmk/Q0Y9YDaF/CuV24xvbmJijU4RGSbCic4UVFRFb7o8uXLRQVDRE7qZokJ/iTlJy93l2pgDQ4R2abCCc7JkycrVE5yj4cXEbmo+yzRUMy8VANnMiYiG1U4wVm5ciVatmwJmUxWmfEQkTOqwAgqoMRSDazBISIbVfgp0q5dO2RkZAAAGjZsiNu3b1daUETkRIwGIKVokr/7JjjFSzWwBoeIbFPhBMfHxwdXrlwBAFy7dg3GoqpkIqJ7Sr8I6AsARQ3At9E9i3IUFRHZS4WbqAYNGoRu3bohKCgIEokE4eHh5TZXFSdCRETm5qnAh4D7JC6swSEie6lwgrNmzRoMHDgQly5dwquvvoqxY8fC09OzMmMjImdQgQn+irEPDhHZi1Xz4PTp0wcAEBcXh8mTJzPBIaL7u/qL6bVu+H2LchQVEdmLqIn+NmzYYO84iMgZZScDKX8CkACNHrtvcc6DQ0T2Ivop8ttvv2HYsGGIiIjAjRs3AACbNm3CoUOH7BYcEVVzl/abXuu2Bzxq37OoIAhcTZyI7EZUgvP111+jd+/eUKvVOHnyJDQaDQAgKysLixcvtmuARFSNXdxrem3y+H2LFic3AKDgKCoispGop8hbb72FmJgYrF27FgqFwry/S5cuiI+Pt1twRFSN6bXA5YOm90163b+44W6CwxocIrKVqATn/Pnz6Nq1a6n93t7eyMzMtDUmInIGSb8D2hzA3Q8Ianff4roSc2sxwSEiW4lKcAIDA3Hp0qVS+w8dOoSGDRvaHBQROQFz81Sv+85/A1jW4LCJiohsJeopMnbsWEyePBnHjh2DRCJBcnIyNm/ejGnTpmHcuHH2jpGIqqOL+0yvFWieAu5O8ieVAFIOEyciG4kaJj5r1iwYjUb07NkT+fn56Nq1K1QqFaZNm4ZJkybZO0Yiqm7uXAdunQMk0goNDwdKLNPAIeJEZAeiEhyJRII5c+Zg+vTpuHTpEnJzcxEWFgYPDw8UFBRArVbbO04iqk4uFdXeBHcC1DUrdIp5mQbW3hCRHdj0p5JSqURYWBg6duwIhUKB5cuXIzQ01F6xEVF1ZW6euv/w8GI6LtNARHZk1ZNEo9Fg9uzZCA8PR+fOnbFz504AppmNQ0ND8d5772Hq1KmVEScRVRe6QuBK0fIMViQ4eiMX2iQi+7GqiWr+/Pn4+OOPERkZiSNHjuDZZ5/FqFGj8Pvvv2P58uV49tlny11hnIhcxPVDgL4A8KwDBLSs8GnmhTY5goqI7MCqBGf79u347LPP8NRTT+HMmTNo3bo19Ho9Tp06BYmEf3URESxHT1nxXNAV9cHhHDhEZA9W/an0zz//oEOHDgCAVq1aQaVSYerUqUxuiOguK5ZnKKl4qQYutElE9mDVk8RgMECpVJp/lsvl8PDwsHtQRFRN3b4MZFwBpAqgYTerTjXX4HAUFRHZgVVNVIIgYOTIkVCpVACAwsJCvPLKK6hRo4ZFuW+++cZ+ERJR9VFce1O/M6DytOpUPUdREZEdWZXgjBgxwuLnYcOG2TUYIqrm/v7O9FrB2YtL4igqIrInqxKcDRs2VFYcRFTd3ToPJB4xzV7capDVp5vnwWETFRHZAeuCicg+4j41vTbtA3jVsfp0NlERkT3xSUJEttMVAqe2mN53GCXqEmyiIiJ7YoJDRLY7+x1QcAfwDgYa9xR1CR0n+iMiO+KThIhsF7fR9Np+OCAVN5u5ebFN1uAQkR0wwSEi29w6D1w/bOpc3E78yEqdkTU4RGQ/fJIQkW1s7FxcTM+lGojIjpjgEJF4duhcXKx4FBWXaiAie+CThIjEK+5c7FVPdOfiYjojl2ogIvthgkNE4tmhc3ExzoNDRPbEJwkRiXPrwt3Oxe1ftPlyOYU6AEANpW2JEhERwASHiMQqrr2xsXNxseTMQgBAHR+1zdciImKCQ0TWy027m+DY2Lm42I3MAgBMcIjIPpjgEJH1flsG6PKAOu1FrRxeluSiBKcuExwisgMmOERkncxE4MR60/ue8wGJ7aOeNHoD0nI0AIA6Pm42X4+IqMokOKtWrUKDBg3g5uaGTp064fjx4+WWXbt2LR599FHUrFkTNWvWRGRk5D3LE5EdHVwCGLRAaFegUQ+7XDI1y5TcuCmk8K2htMs1ici1VYkE54svvkBUVBQWLFiA+Ph4tGnTBr1790ZaWlqZ5Q8ePIihQ4fiwIEDOHr0KIKDg/H444/jxo0bDzhyIhdz6zxwaqvp/WPz7XbZkv1vJHaoESIiqhIJzvLlyzF27FiMGjUKYWFhiImJgbu7O9avX19m+c2bN2P8+PFo27Ytmjdvjk8++QRGoxGxsbEPOHIiF/PzW4BgBJr1A4Iftttl2f+GiOzN4QmOVqtFXFwcIiMjzfukUikiIyNx9OjRCl0jPz8fOp0Ovr6+lRUmEd2IN81cDAnw2Fz7Xrq4BsebCQ4R2Yfc0QGkp6fDYDAgICDAYn9AQADOnTtXoWvMnDkTderUsUiSStJoNNBoNOafs7OzxQdM5Kp+XmR6bf0cEBBm10snc4g4EdmZw2twbLVkyRJs27YNO3bsgJtb2aMvoqOj4e3tbd6Cg4MfcJRE1dzV34DLPwNSOdB9tt0vf7cPDkdQEZF9ODzB8fPzg0wmQ2pqqsX+1NRUBAYG3vPc//3vf1iyZAn27t2L1q1bl1tu9uzZyMrKMm9JSUl2iZ3IJRj0wL55pvftRwC+oXa/BfvgEJG9OTzBUSqV6NChg0UH4eIOwxEREeWe984772DRokX48ccfER4efs97qFQqeHl5WWxEVEFHPwCSTwIqb6DbDLtfXhAELtNARHbn8D44ABAVFYURI0YgPDwcHTt2xIoVK5CXl4dRo0xTwA8fPhx169ZFdHQ0AGDp0qWYP38+tmzZggYNGiAlJQUA4OHhAQ8PD4d9DiKnk3YOOLDY9L5PNOB571pVMTLzdSjQGQAAgd5soiIi+6gSCc7gwYNx69YtzJ8/HykpKWjbti1+/PFHc8fjxMRESKV3K5tWr14NrVaLZ555xuI6CxYswBtvvPEgQydyXgY9sHOcaVK/Jr2Bts9Xym2K+9/4eajgpuBK4kRkH1UiwQGAiRMnYuLEiWUeO3jwoMXP165dq/yAiFzdkfeB5HhT01T/FXZZkqEsd/vfsPaGiOzH4X1wiKgKSjsLHDQ1CaPvEsCrTqXdikPEiagyMMEhIkv/bppqM7RSb5ecxQ7GRGR/THCIyNKRlaZRU27eQP+VldY0VewGa3CIqBIwwSGiuy4fAH5+2/S+z1LAK6jSb8k+OERUGZjgEJHJ7cvA9hGAYABaDwHaDHkgt2UfHCKqDExwiAgoyAS2DAYKs4B6Dz+QpikA0OqNSMsxrRPHBIeI7IkJDpGrM+iBr14Cbl8EvOoCgzcDigfTXJSaXQhBAJRyKWrVUD6QexKRa2CCQ+Tq9s0DLscCCndg6FbAM+CB3fpGiTWoJA+gxoiIXAcTHCJXFvcp8PtHpvdPrwaC2jzQ2ydzFXEiqiRMcIhc1Z9fAbummN53fx1o+fQDD8Gc4Hiz/w0R2RcTHCJXdHo78M1YQDACbYdVyirhFXGjaBXxujWZ4BCRfTHBIXI1p78EdvzXlNy0exF46oMHMmKqLJzkj4gqCxMcIldyahuw42VTctN+OND/fUDquMdAcolOxkRE9sQEh8hVJGwBdrxSlNyMAJ5c6dDkRhAETvJHRJVG7ugAiKiSGY3Ar+/cXR28wyig33KHJjcAkFWgQ77WAAAI8uYoKiKyLyY4RM5Mm29aGfzvnaafIyYCvRY5PLkB7va/8fNQwk0hc3A0RORsmOAQOausG8C2ocDNU4BUATy53NTvpopILhpBxeYpIqoMTHCInNE/ccC254HcFMC9FjD4c6B+Z0dHZYFz4BBRZWKCQ+RMjEbg6IfAz4sAgxbwDzMtv1CzgaMjK4UdjImoMjHBIXIWWf+YRkld+830c/Mngf+LAVSejo2rHDe4TAMRVSImOETO4M+vgF1RgCbLtGhmn2jTUPAqvIAl58AhosrEBIeoOstNA36cBZz52vRz3XBg4BqgViPHxlUB7GRMRJWJCQ5RdWTQA398Ahx4G9BkAxKZaT2pR6cBsqr/v7XOYERqDhMcIqo8Vf9JSESWrh8F9kwDUs+Yfg5qaxoCXreDQ8OyRkpWIQQBUMqlqFVD6ehwiMgJMcEhqi7uXAcOLAZObzP97OYDRC4w9bWRVq+J8u4OEXeDVFp1+wkRUfXFBIeoqsu+Cfz2PyDuU8CoAyAxTdjXcwFQo5ajoxMlOYtDxImocjHBIaqq8tKBQ++Z+troTf1V0LA70HN+tWqOKgs7GBNRZWOCQ1TVZFwFjsUA8ZsAXZ5pX3An4LF5QOijjo3NTv5KzgIA1Pd1d3AkROSsmOAQVRVJx4EjHwDndgGC0bQvqI0psWkcWaXntLGGVm/EbxfSAQCPNq3t4GiIyFkxwSFyJG0+8Pe3wIn1wD/H7+5v9Jhp5e9GjzlNYlPsxLUM5Gj08PNQonVdb0eHQ0ROigkOkSPcPAXEfwac3m6afRgAZErgoeeAiAlAQJhj46tEsefSAADdm/lzBBURVRomOEQPSnYy8NcO4PQXpgSnmE8I0G440P5FwDPQcfE9ID8XJTg9m/s7OBIicmZMcIgqU166qQnqzDfA9cMABNN+qQJo8aRpDpvQboBU6tAwH5Qrt3JxNT0PCpkEjzTxc3Q4ROTEmOAQ2VvGFeD8D6bt+hFAMNw9FvwfoNUg01ZN57CxRXHtTafQWvB0Uzg4GiJyZkxwiGyl15o6CF/ab0pqbp2zPB7U1pTQtPw/wCfYISFWFcUJzmNsniKiSsYEh8hagmBKYi4fAK4cAK4dvjtfDQBI5UD9LkCzJ4BmfYCaDRwWalWSXajD8asZAICeLZjgEFHlYoJDdD9GA5DyJ5B41NSP5vpRID/dskyN2qZZhpv2Mc1Zo/ZxRKRV2m8X0qE3CmhUuwbq16rh6HCIyMkxwSH6t9xbwI0TwD8nTK834gFNtmUZuRsQEmGap6ZRD8C/pct0FBYr9lwqAKBniwAHR0JEroAJDrm23DTg5mngZgKQchpITgAyr5cup/IyLZdQv7Npq9MOkKsedLTVlsEo4JfztwAAPZqxeYqIKh8THHINugJTv5m0s0Da36bXlDNAbkoZhSVA7WZA3XCgXgfTa0BLQCp74GE7i1P/ZOJ2nhaebnKEN6jp6HCIyAUwwSHnIQhA3i3g9iUg/QKQfvHu651rMM9BY0EC+DUBAlsDQa1Naz/VaQe4cQkBe/r5rGn0VLemtaGQsSmPiCofExyqXnSFQNY/pmakzETgzlXT6tsZV03vtbnln+teC/APK9pamF4DWgIqjwcXv4sqXp6Bo6eI6EFhgkNVh0Fn6hOTcxPIvgFk3Sh6/cf0mplUTpNSCRIp4F0P8GtmqpnxawL4NTVtNWo73cKV1UFyZgHO3syGVAJ0a8oEh4geDCY4VLkMeqAgw7RkQX66qQkpN8205RW95qSYtrxbKLsZ6V8UNUzrN/mEADXrA76NAN9QwLehaR87/1YpxZP7tQ+pCd8aSgdHQ0SuggkOVYxeAxRmm4ZLF2QChXeKXrOAwkwgPwMouFP0mmF6zU83lalI0lJMKgc8AgGvOoB3XcCraPOua6qZ8WkAuPuyJqaa0OqN2HD4KgAODyeiB4sJjjMxGgF9oeWmKzSNINLll3jNB7R5ps38PhfQ5N591WSb3hcnNQatDYFJAHVNoIYfUMMf8KgNeASYmow8/AHPINMq2p5BgNqX88k4kU8OXcHlW3nw81Di+U4hjg6HiFwIExw7unn9PK7/sBKAAElRrYUEAiTmVwHSEq9SGE2bYIQMBkhgepXBCJmgh1QwQAYDpIIeMqMeMkEHqaCH1KiDzKiF1KiFxKiF1KCFxKCFxKir/A+p9DTN0uvmYxppVPxe7WOqWVH73n2t4Qe4+5mSGxn/U3M1NzIL8EHsJQDA7L4t4K3m4ppE9ODwXx07ykpLwn9SNjs6DACATpBBCwU0EiUKoYJWooJW6gadVAW91A06mTv0cjWMMncYFe4QFDVMo4lUnpCqPCFXmzZFDR+4edSE2tMX7h7e8HBXQSXnfDB0f29+/xcKdAZ0bOCLge3rOjocInIxTHDsyNs/GL8HvgABKKq3sXw1FtXdGCGBUQAMkN7dBCkMkEAvyKATZNBBCp0ghU6QQWOUQivIUCjIUGiUQ2OUosAgRb5RhjyDHHkGGXINMuTpZSiEEhooYIC9kpCsou2aeY9SJoWnm7xoU8BLLYeXm8K0qeXwVivgpVbAu2jzcVfCR62Aj7sCnm4KyKTsP+PsDpxPw09/pUImleDNp1tCwj5TRPSAMcGxo6D6zRD0ykcOu78gCNAajNDojdDojNDoDSjUGVCoM6JQZ0BB0fsCnQEFWj3ytQbka01l8jQGFOj0yNUYkK/RI0+rR57GgDyNHjkaPfI0pvIAoDUYcTtPi9t51vfLkUgAb7UCvu5K+LgrUNNdCd8allstDyVq1VChlocSfh4quClYY1SdFOoMWPDtXwCAl7o0QPNALwdHRESuiAmOE5FIJFDJZaYmJDf7X99gFJCr0SNXo0dOoQ45habX7ALTa1aBDtmFemQXmN5nFeiQmV/8qkWe1gBBADLzTfsrykMlNyc7tT1UqO2pgr+n6dX03g0BXirU8lCxdqgKWH3wMhIz8hHgpcLkyKaODoeIXBQTHKowmVRibnYC1Fafr9UbkVmgRWa+DnfytLiTr0VGnq7o1bTdztMiI0+DjFwt0nO10BqM5qTq+u38e15fKgH8PFQI8DIlPAFebgj0ckOAtxuCvN0Q5K1GHR83uCv5n31luX47D6t/uQwAmPdkGDxU/F0TkWPw6UMPjFIuhb+nG/w9K1a9JAgCcjR63M7VIj1Xg/QcDW7lanArx7Sl5WiQllOItGwN0nM1MAoo2qfBnzfKv66Xmxx1fNQI8nZD3Zpq1PFRo66P6bWOjxqBXm6sCRIhObMA//0sDlq9EY809kO/h4IcHRIRuTAmOFRlSSQSc+flUL8a9yxrMAq4natBarYGqdmFSMkuNL1mmd6nZBXiZlYhcjV6UzNaSg7OpeSUeS25VIIgHzfU83FH3Zpq1KupRnBNdwT7uiPYV40ATzdImQBZOHMjCy9t/ANpORrU9lThradbsWMxETkUExxyCjKpBP5ebvD3csNDKH8l8JxCHW5mFSI5swDJmYW4mVWAG5kFSM40vd7MLITeKCApowBJGQVlXkMpk5qSHl93hBRvtUyv9Wu5u1wTWOzZVEzaehL5WgOaBXhi/aiHUdfH+iZMIiJ7cq0nMbk8TzfTUPWmAZ5lHjcYBaTlFOKfOwW4cacA/9zJxz93CpB0Jx+JGflIziyE1mDElfQ8XEnPK/MatT1VqO/rjvq1aqB+LXc08KuBBrVMPzvbZHefHrmGhd//BaMAPNrED6teaA8vN+f6jERUPUkEQbBioSDnkJ2dDW9vb2RlZcHLi0NYqeL0BiNuZhUiKcOU8JTcrt/OR1bBvUeH1XRXoH6tuwlPqF9RElSrBmpWo4Uoz9zIwupfLmP36ZsAgCEPB2PR062gkHGZDSKqPNb8+11lanBWrVqFd999FykpKWjTpg0++OADdOzYsdzy27dvx7x583Dt2jU0adIES5cuxRNPPPEAIyZXJJdJi/riuKNzGcez8nW4npGH67fzcf12Hq7dzkfi7Xxcu52HtBwN7uTrcCc/EwlJmaXO9VYrUL8o8WlgbvIyJUC1PVQO7/cjCAIOXriFtb9ewZHLt837p/duhvHdG7HPDRFVKVWiBueLL77A8OHDERMTg06dOmHFihXYvn07zp8/D39//1Lljxw5gq5duyI6OhpPPvkktmzZgqVLlyI+Ph6tWrW67/1Yg0OOkFc01P3a7bsJ0NV00/uU7MJ7nquSS819fuoVdXyuW6ITdK0aykpJMHI1epz+JxMnEzPxbcINXEjNBWDq8/Rk6yCMfbQhWtUtv88TEZE9WfPvd5VIcDp16oSHH34YH374IQDAaDQiODgYkyZNwqxZs0qVHzx4MPLy8rBr1y7zvv/85z9o27YtYmJi7ns/JjhU1RRoDUjMMCU/iSWSoMSMfNzILIDBeO//TZUyKWp7qszz/wR4ucG3htI8b5G3WgFvdwXUChlkUgmkEglkUglkEgm0BoOpZimvaI6ifC2upuchISkTF1JzUPLWNZQyDO0YglGPhLIjMRE9cNWqiUqr1SIuLg6zZ88275NKpYiMjMTRo0fLPOfo0aOIioqy2Ne7d2/s3LmzzPIajQYajcb8c3Z2tu2BE9mRWilDs0BPNAss3flZZzDiZmahqZ9PRl5R52fTqK8bdwqQmmPq+HyjaCSYvdX1UaNtsA86hvri6XZ1na6jNBE5J4cnOOnp6TAYDAgICLDYHxAQgHPnzpV5TkpKSpnlU1JSyiwfHR2NhQsX2idgogdMIZOahqHXcscj8Ct1XKs3miY8zNEgLbvQPBfQnXxtqSUzCnUGGIwCDEbBtOCrUYBCJkHNGkr4uCvhW7Q+WKC3G9oE+6BdsA/8vSph3Q8iokrm8ATnQZg9e7ZFjU92djaCg4MdGBGR/SjlUtSr6Y56Nd0dHQoRUZXh8ATHz88PMpkMqampFvtTU1MRGBhY5jmBgYFWlVepVFCpVPYJmIiIiKo8h09aoVQq0aFDB8TGxpr3GY1GxMbGIiIiosxzIiIiLMoDwL59+8otT0RERK7F4TU4ABAVFYURI0YgPDwcHTt2xIoVK5CXl4dRo0YBAIYPH466desiOjoaADB58mR069YNy5YtQ79+/bBt2zacOHECa9asceTHICIioiqiSiQ4gwcPxq1btzB//nykpKSgbdu2+PHHH80diRMTEyGV3q1s6ty5M7Zs2YK5c+fi9ddfR5MmTbBz584KzYFDREREzq9KzIPzoHEeHCIiourHmn+/Hd4Hh4iIiMjemOAQERGR02GCQ0RERE6HCQ4RERE5HSY4RERE5HSY4BAREZHTYYJDRERETocJDhERETkdJjhERETkdKrEUg0PWvHkzdnZ2Q6OhIiIiCqq+N/tiizC4JIJTk5ODgAgODjYwZEQERGRtXJycuDt7X3PMi65FpXRaERycjI8PT0hkUjseu3s7GwEBwcjKSmJ61xVEfxOqh5+J1UTv5eqh9+JJUEQkJOTgzp16lgswl0Wl6zBkUqlqFevXqXew8vLi/8xVjH8TqoefidVE7+XqoffyV33q7kpxk7GRERE5HSY4BAREZHTYYJjZyqVCgsWLIBKpXJ0KFSE30nVw++kauL3UvXwOxHPJTsZExERkXNjDQ4RERE5HSY4RERE5HSY4BAREZHTYYJDRERETocJjh2tWrUKDRo0gJubGzp16oTjx487OiSXER0djYcffhienp7w9/fH008/jfPnz1uUKSwsxIQJE1CrVi14eHhg0KBBSE1NdVDErmfJkiWQSCSYMmWKeR+/E8e4ceMGhg0bhlq1akGtVuOhhx7CiRMnzMcFQcD8+fMRFBQEtVqNyMhIXLx40YEROzeDwYB58+YhNDQUarUajRo1wqJFiyzWW+J3IoJAdrFt2zZBqVQK69evF/766y9h7Nixgo+Pj5Camuro0FxC7969hQ0bNghnzpwREhIShCeeeEIICQkRcnNzzWVeeeUVITg4WIiNjRVOnDgh/Oc//xE6d+7swKhdx/Hjx4UGDRoIrVu3FiZPnmzez+/kwcvIyBDq168vjBw5Ujh27Jhw5coV4aeffhIuXbpkLrNkyRLB29tb2Llzp3Dq1CnhqaeeEkJDQ4WCggIHRu683n77baFWrVrCrl27hKtXrwrbt28XPDw8hJUrV5rL8DuxHhMcO+nYsaMwYcIE888Gg0GoU6eOEB0d7cCoXFdaWpoAQPjll18EQRCEzMxMQaFQCNu3bzeXOXv2rABAOHr0qKPCdAk5OTlCkyZNhH379gndunUzJzj8Thxj5syZwiOPPFLucaPRKAQGBgrvvvuueV9mZqagUqmErVu3PogQXU6/fv2El156yWLfwIEDhRdeeEEQBH4nYrGJyg60Wi3i4uIQGRlp3ieVShEZGYmjR486MDLXlZWVBQDw9fUFAMTFxUGn01l8R82bN0dISAi/o0o2YcIE9OvXz+J3D/A7cZTvvvsO4eHhePbZZ+Hv74927dph7dq15uNXr15FSkqKxffi7e2NTp068XupJJ07d0ZsbCwuXLgAADh16hQOHTqEvn37AuB3IpZLLrZpb+np6TAYDAgICLDYHxAQgHPnzjkoKtdlNBoxZcoUdOnSBa1atQIApKSkQKlUwsfHx6JsQEAAUlJSHBCla9i2bRvi4+Pxxx9/lDrG78Qxrly5gtWrVyMqKgqvv/46/vjjD7z66qtQKpUYMWKE+Xdf1vOM30vlmDVrFrKzs9G8eXPIZDIYDAa8/fbbeOGFFwCA34lITHDI6UyYMAFnzpzBoUOHHB2KS0tKSsLkyZOxb98+uLm5OTocKmI0GhEeHo7FixcDANq1a4czZ84gJiYGI0aMcHB0runLL7/E5s2bsWXLFrRs2RIJCQmYMmUK6tSpw+/EBmyisgM/Pz/IZLJSoz9SU1MRGBjooKhc08SJE7Fr1y4cOHAA9erVM+8PDAyEVqtFZmamRXl+R5UnLi4OaWlpaN++PeRyOeRyOX755Re8//77kMvlCAgI4HfiAEFBQQgLC7PY16JFCyQmJgKA+XfP59mDM336dMyaNQtDhgzBQw89hBdffBFTp05FdHQ0AH4nYjHBsQOlUokOHTogNjbWvM9oNCI2NhYREREOjMx1CIKAiRMnYseOHfj5558RGhpqcbxDhw5QKBQW39H58+eRmJjI76iS9OzZE3/++ScSEhLMW3h4OF544QXze34nD16XLl1KTaFw4cIF1K9fHwAQGhqKwMBAi+8lOzsbx44d4/dSSfLz8yGVWv5zLJPJYDQaAfA7Ec3RvZydxbZt2wSVSiVs3LhR+Pvvv4X//ve/go+Pj5CSkuLo0FzCuHHjBG9vb+HgwYPCzZs3zVt+fr65zCuvvCKEhIQIP//8s3DixAkhIiJCiIiIcGDUrqfkKCpB4HfiCMePHxfkcrnw9ttvCxcvXhQ2b94suLu7C59//rm5zJIlSwQfHx/h22+/FU6fPi0MGDCAQ5Ir0YgRI4S6deuah4l/8803gp+fnzBjxgxzGX4n1mOCY0cffPCBEBISIiiVSqFjx47C77//7uiQXAaAMrcNGzaYyxQUFAjjx48XatasKbi7uwv/93//J9y8edNxQbugfyc4/E4c4/vvvxdatWolqFQqoXnz5sKaNWssjhuNRmHevHlCQECAoFKphJ49ewrnz593ULTOLzs7W5g8ebIQEhIiuLm5CQ0bNhTmzJkjaDQacxl+J9aTCEKJqRKJiIiInAD74BAREZHTYYJDRERETocJDhERETkdJjhERETkdJjgEBERkdNhgkNEREROhwkOEREROR0mOERUppEjR+Lpp5+u9Pvs3LkTjRs3hkwmw5QpU8osI5FIsHPnTrvds3v37uXeq1iDBg2wYsUKu92zMs2bNw///e9/K1R2yJAhWLZsWSVHROR4THCIqqGjR49CJpOhX79+jg7FZi+//DKeeeYZJCUlYdGiRWWWuXnzJvr27Wu3e37zzTfl3qu6SUlJwcqVKzFnzhzzvry8PAwZMgRBQUEYOnQo8vPzzcfmzp2Lt99+G1lZWY4Il+iBYYJDVA2tW7cOkyZNwq+//ork5GRHhyNabm4u0tLS0Lt3b9SpUweenp5llgsMDIRKpbLbfX19fcu9V3XzySefoHPnzubFMgFgxYoV8PDwwN69e6FWqy1qolq1aoVGjRrh888/d0C0RA8OExyiaiY3NxdffPEFxo0bh379+mHjxo0Wxw8ePAiJRILY2FiEh4fD3d0dnTt3LrWC9FtvvQV/f394enpizJgxmDVrFtq2bVvufY1GI6KjoxEaGgq1Wo02bdrgq6++umesd+7cwfDhw1GzZk24u7ujb9++uHjxojnO4iTjscceg0QiwcGDB8u8TskmqmvXrkEikeCbb75Bjx494O7ujjZt2uDo0aMW5xw+fBjdu3eHu7s7atasid69e+POnTsASjdRpaWloX///lCr1QgNDcXmzZtLxZCZmYkxY8agdu3a8PLywmOPPYZTp06Zj7/xxhto27YtNm3ahAYNGsDb2xtDhgxBTk6Oxe/wnXfeQePGjaFSqRASEoK3337bfDwpKQnPPfccfHx84OvriwEDBuDatWv3/B1v27YN/fv3L/V7b9q0KR566CE0b94cmZmZFsf79++Pbdu23fO6RNUdExyiaubLL79E8+bN0axZMwwbNgzr169HWUvKzZkzB8uWLcOJEycgl8vx0ksvmY9t3rwZb7/9NpYuXYq4uDiEhIRg9erV97xvdHQ0PvvsM8TExOCvv/7C1KlTMWzYMPzyyy/lnjNy5EicOHEC3333HY4ePQpBEPDEE09Ap9NZJF1ff/01bt68ic6dO1f49zBnzhxMmzYNCQkJaNq0KYYOHQq9Xg8ASEhIQM+ePREWFoajR4/i0KFD6N+/PwwGQ7lxJiUl4cCBA/jqq6/w0UcfIS0tzaLMs88+i7S0NPzwww+Ii4tD+/bt0bNnT2RkZJjLXL58GTt37sSuXbuwa9cu/PLLL1iyZIn5+OzZs7FkyRLMmzcPf//9N7Zs2YKAgAAAgE6nQ+/eveHp6YnffvsNhw8fhoeHB/r06QOtVltm3BkZGfj7778RHh5usX/ixIn4+OOPoVAosGHDBkyePNnieMeOHXH8+HFoNJoK/raJqiHHrvVJRNbq3LmzsGLFCkEQBEGn0wl+fn7CgQMHzMcPHDggABD2799v3rd7924BgFBQUCAIgiB06tRJmDBhgsV1u3TpIrRp08b884gRI4QBAwYIgiAIhYWFgru7u3DkyBGLc0aPHi0MHTq0zDgvXLggABAOHz5s3peeni6o1Wrhyy+/FARBEO7cuSMAsIi/LACEHTt2CIIgCFevXhUACJ988on5+F9//SUAEM6ePSsIgiAMHTpU6NKlS7nXK7mq+fnz5wUAwvHjx83Hz549KwAQ3nvvPUEQBOG3334TvLy8hMLCQovrNGrUSPj4448FQRCEBQsWCO7u7kJ2drb5+PTp04VOnToJgmBaMVqlUglr164tM6ZNmzYJzZo1E4xGo3mfRqMR1Gq18NNPP5V5zsmTJwUAQmJiYqljBoNBuHnzpsX1ip06dUoAIFy7dq3M6xI5A9bgEFUj58+fx/HjxzF06FAAgFwux+DBg7Fu3bpSZVu3bm1+HxQUBADmWonz58+jY8eOFuX//XNJly5dQn5+Pnr16gUPDw/z9tlnn+Hy5ctlnnP27FnI5XJ06tTJvK9WrVpo1qwZzp49W8FPXL57fb7iGpyKKI6zQ4cO5n3NmzeHj4+P+edTp04hNzcXtWrVsvj8V69etfj8DRo0sOjbExQUZI7p7Nmz0Gg05cZ16tQpXLp0CZ6enubr+/r6orCwsNzfcUFBAQDAzc2t1DGpVIrAwEBIJJJSx9RqNQBYdD4mcjZyRwdARBW3bt066PV61KlTx7xPEASoVCp8+OGH8Pb2Nu9XKBTm98X/yBmNRlH3zc3NBQDs3r0bdevWtThmz86/1rjX5yv+B9xecnNzERQUVGYfoZKJUMmYiuOqaEy5ubno0KFDmf1/ateuXeY5fn5+AEx9bsorU5biZjVrziGqbliDQ1RN6PV6fPbZZ1i2bBkSEhLM26lTp1CnTh1s3bq1wtdq1qwZ/vjjD4t9//65pLCwMKhUKiQmJqJx48YWW3BwcJnntGjRAnq9HseOHTPvu337Ns6fP4+wsLAKxypG69atERsbW6GyzZs3h16vR1xcnHnf+fPnLTrmtm/fHikpKZDL5aU+f3GScT9NmjSBWq0uN6727dvj4sWL8Pf3L3WPkolrSY0aNYKXlxf+/vvvCsVQ7MyZM6hXr16FYyeqjpjgEFUTu3btwp07dzB69Gi0atXKYhs0aFCZzVTlmTRpEtatW4dPP/0UFy9exFtvvYXTp0+X2ZwBAJ6enpg2bRqmTp2KTz/9FJcvX0Z8fDw++OADfPrpp2We06RJEwwYMABjx47FoUOHcOrUKQwbNgx169bFgAEDRP0OKmr27Nn4448/MH78eJw+fRrnzp3D6tWrkZ6eXqpss2bN0KdPH7z88ss4duwY4uLiMGbMGIsal8jISERERODpp5/G3r17ce3aNRw5cgRz5szBiRMnKhSTm5sbZs6ciRkzZpib9n7//Xfz9/bCCy/Az88PAwYMwG+//YarV6/i4MGDePXVV/HPP/+UeU2pVIrIyEgcOnTIqt/Pb7/9hscff9yqc4iqGyY4RNXEunXrEBkZWeZf84MGDcKJEydw+vTpCl3rhRdewOzZszFt2jS0b98eV69exciRI8vsy1Fs0aJFmDdvHqKjo9GiRQv06dMHu3fvRmhoaLnnbNiwAR06dMCTTz6JiIgICIKAPXv2lGrKsbemTZti7969OHXqFDp27IiIiAh8++23kMvLbpXfsGED6tSpg27dumHgwIH473//C39/f/NxiUSCPXv2oGvXrhg1ahSaNm2KIUOG4Pr16+ZRUBUxb948vPbaa5g/fz5atGiBwYMHm/vouLu749dff0VISAgGDhyIFi1aYPTo0SgsLISXl1e51xwzZgy2bdtW4ebHwsJC7Ny5E2PHjq1w3ETVkUQQyhhfSkQup1evXggMDMSmTZscHQpZQRAEdOrUCVOnTjV3Pr+X1atXY8eOHdi7d+8DiI7IcdjJmMgF5efnIyYmBr1794ZMJsPWrVuxf/9+7Nu3z9GhkZUkEgnWrFmDP//8s0LlFQoFPvjgg0qOisjxWIND5IIKCgrQv39/nDx5EoWFhWjWrBnmzp2LgQMHOjo0IiK7YIJDREREToedjImIiMjpMMEhIiIip8MEh4iIiJwOExwiIiJyOkxwiIiIyOkwwSEiIiKnwwSHiIiInA4THCIiInI6THCIiIjI6fw/gO6W/MKYB7YAAAAASUVORK5CYII=",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 640x480 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -153,7 +193,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.1"
+   "version": "3.13.7"
   },
   "widgets": {
    "application/vnd.jupyter.widget-state+json": {
diff --git a/examples/gallery/plot_01_basic_usage.py b/examples/gallery/plot_01_basic_usage.py
index 4e9253d9..16438c96 100644
--- a/examples/gallery/plot_01_basic_usage.py
+++ b/examples/gallery/plot_01_basic_usage.py
@@ -1,12 +1,12 @@
 """
-Basic usage
-===========
+Basic usage of pyElli
+=====================
 
 Basic usage of building a model and fitting it to measurement data of SiO2 on Si.
 
 """
 
-# %%
+# %% Import required libraries
 import elli
 from elli.fitting import ParamsHist, fit
 
@@ -26,7 +26,7 @@
 # This is because we're using literature values for Si,
 # which are only defined in this wavelength range.
 ANGLE = 70
-psi_delta = elli.read_nexus_psi_delta("SiO2onSi.ellips.nxs").loc[ANGLE][210:800]
+psi_delta = elli.read_nexus_psi_delta("SiO2onSi.ellips.nxs").loc[ANGLE].loc[210:800]
 
 # %%
 # Setting parameters
diff --git a/examples/gallery/plot_02_TiO2_multilayer.py b/examples/gallery/plot_02_TiO2_multilayer.py
index 827a5138..2907389f 100644
--- a/examples/gallery/plot_02_TiO2_multilayer.py
+++ b/examples/gallery/plot_02_TiO2_multilayer.py
@@ -19,7 +19,7 @@
 #
 # The sample is an ALD grown TiO2 sample (with 400 cycles)
 # on commercially available SiO2 / Si substrate.
-tss = elli.read_spectraray_psi_delta("TiO2_400cycles.txt").loc[70.06][400:800]
+tss = elli.read_spectraray_psi_delta("TiO2_400cycles.txt").loc[70.06].loc[400:800]
 
 # %%
 # Set start parameters
diff --git a/examples/gallery/plot_03_custom_fitting.py b/examples/gallery/plot_03_custom_fitting.py
index c9150dce..ca98bed0 100644
--- a/examples/gallery/plot_03_custom_fitting.py
+++ b/examples/gallery/plot_03_custom_fitting.py
@@ -21,6 +21,7 @@
 # %%
 # Data import
 # -----------
+# Read Ψ (psi) and Δ (delta) ellipsometric spectra for different angles from a NeXus file, limited to a wavelength range of 210–800 nm, to be compatible with a tabulated Silicon dispersion.
 data = elli.read_nexus_psi_delta("SiO2onSi.ellips.nxs").loc[
     (slice(None), slice(210, 800)), :
 ]
@@ -30,6 +31,7 @@
 # %%
 # Setting up invariant materials and fitting parameters
 # -----------------------------------------------------
+# Set up the optical constants for the substrate from RII and define initial fit parameters for the Cauchy SiO₂ layer.
 rii_db = elli.db.RII()
 Si = rii_db.get_mat("Si", "Aspnes")
 
@@ -69,8 +71,8 @@ def model(lbda, angle, params):
 # %%
 # Defining the fit function
 # -------------------------
-# The fit function follows the protocol defined by the lmfit package and needs the parameters dictionary as first argument.
-# It has to return a residual value, which will be minimized. Here psi and delta are used to calculate the residual, but could be changed to transmission or reflection data.
+# The fit function follows the protocol defined by the lmfit package and needs the parameters dictionary as first argument. It has to return a residual value, which will be minimized.
+# Here psi and delta are used across all angles to calculate the residual, but could be changed to any other measured quantity like transmission or reflection data.
 
 
 def fit_function(params, lbda, data):
@@ -93,6 +95,7 @@ def fit_function(params, lbda, data):
 # ---------------
 # The fitting is performed by calling the minimize function with the fit_function and the needed arguments.
 # It is possible to change the underlying algorithm by providing the method kwarg.
+# The fit_report function provides fitted values, uncertainties, and goodness-of-fit statistics.
 
 out = minimize(fit_function, params, args=(lbda, data), method="leastsq")
 print(fit_report(out))
@@ -100,6 +103,7 @@ def fit_function(params, lbda, data):
 # %%
 # Plotting the results
 # ----------------------------------------------
+# The measurent results are displayed as scatter plot and the PyElli results are overlayed as solid lines.
 
 fit_50 = model(lbda, 50, out.params)
 fit_60 = model(lbda, 60, out.params)
diff --git a/examples/gallery/plot_SiO2_Si_MM.py b/examples/gallery/plot_SiO2_Si_MM.py
index dd7e522f..bc6ca911 100644
--- a/examples/gallery/plot_SiO2_Si_MM.py
+++ b/examples/gallery/plot_SiO2_Si_MM.py
@@ -2,7 +2,7 @@
 Mueller matrix
 ==============
 
-Mueller matrix fit to a SiO2 on Si measurement.
+Exemplary fit of the complete Mueller matrix of a SiO2 on Si measurement.
 """
 
 # %%
diff --git a/examples/gallery/plot_bragg_mirror.py b/examples/gallery/plot_bragg_mirror.py
index 2a64ec39..88073e86 100644
--- a/examples/gallery/plot_bragg_mirror.py
+++ b/examples/gallery/plot_bragg_mirror.py
@@ -4,10 +4,13 @@
 """
 
 # %%
-# Example of a TiO2/SiO2 Bragg mirror with 8.5 periods
-# ----------------------------------------------------
+# TiO2/SiO2 Bragg mirror simulation
+# ---------------------------------
 #
 # Authors: O. Castany, M.Müller
+#
+# This notebook simulates a Bragg mirror composed of alternating layers of TiO₂ and SiO₂, each a quarter-wavelength thick at a central wavelength of 1550 nm.
+# The mirror contains 8.5 periods, with air as the incident medium and glass as the substrate.
 
 # %%
 import elli
@@ -20,25 +23,20 @@
 # %%
 # Material definition
 # -------------------
-# We define air as incidence material and glass as exit material.
-# SiO2 and TiO2 are defined by simplified dispersion relations.
+# We define all required materials with constant (non-dispersive) refractive indicies.
+# Air as incidence material and glass as exit material. The Bragg mirror materials are SiO2 and TiO2.
+
 air = elli.AIR
 glass = elli.ConstantRefractiveIndex(1.5).get_mat()
-
-n_SiO2 = 1.47
-n_TiO2 = 2.23 + 1j * 5.2e-4
-
-SiO2 = elli.ConstantRefractiveIndex(n_SiO2).get_mat()
-TiO2 = elli.ConstantRefractiveIndex(n_TiO2).get_mat()
+SiO2 = elli.ConstantRefractiveIndex(1.47).get_mat()
+TiO2 = elli.ConstantRefractiveIndex(2.23 + 1j * 5.2e-4).get_mat()
 
 # %%
 # Create layers and structure
 # ---------------------------
 # The SiO2 and TiO2 layers are set to the thickness of an
 # quarterwaveplate of the respective material at 1550 nm.
-#
-# The layers are then stacked alternatingly and put into the
-# complete structure with air and the glass substrate.
+
 lbda0 = 1550
 
 d_SiO2 = elli.get_qwp_thickness(SiO2, lbda0)
@@ -50,14 +48,31 @@
 L_SiO2 = elli.Layer(SiO2, d_SiO2)
 L_TiO2 = elli.Layer(TiO2, d_TiO2)
 
-# Repeated layers: 8.5 periods
+
+# %%
+# Create layers and structure
+# ---------------------------
+# We now build the multilayer stack:
+# Alternating layers of TiO2 / SiO2:
+# - 8 full periods + 1 TiO2 layer at the end → "8.5 periods"
+# - Placed between air (front) and glass (back)
+
+# Define periodic stack
+# Repeated layers: 8.5 periods: Parameters (Substructure, repetitions, number of layers before, number of layers after the stack)
 layerstack = elli.RepeatedLayers([L_TiO2, L_SiO2], 8, 0, 1)
 
+# Build full structure
 s = elli.Structure(air, [layerstack], glass)
 
 # %%
-# Calculation
-# -----------
+# Structure Graph: Visualization of the refractive index profile in z-direction.
+# ------------------------------------------------------------------------------
+elliplot.draw_structure(s)
+
+# %%
+# Optical calculation
+# -------------------
+# Calculation of the reflection and transmission of the structure at normal incidence (0°).
 (lbda1, lbda2) = (1100, 2500)
 lbda_list = np.linspace(lbda1, lbda2, 200)
 
@@ -66,16 +81,10 @@
 R = data.R
 T = data.T
 
-
 # %%
-# Structure Graph
-# ---------------
-# Schema of the variation of the refractive index in z-direction.
-elliplot.draw_structure(s)
-
-# %%
-# Reflection and Transmission Graph
-# ---------------------------------
+# Reflection and Transmission data
+# --------------------------------
+# The plot shows the high reflection in the stopband region around the design wavelength and the interference patterns around it.
 fig = plt.figure()
 ax = fig.add_subplot(1, 1, 1)
 ax.plot(lbda_list, T, label="$T$")
diff --git a/examples/gallery/plot_cholesteric_lq.py b/examples/gallery/plot_cholesteric_lq.py
index 2ad31310..9593724e 100644
--- a/examples/gallery/plot_cholesteric_lq.py
+++ b/examples/gallery/plot_cholesteric_lq.py
@@ -1,12 +1,15 @@
 """
-Cholesteric Liquid Crystal
-==========================
+Cholesteric Liquid Crystal Simulation
+=====================================
 """
 
 # %%
 # Example of a cholesteric liquid crystal
 # ---------------------------------------
 # Authors: O. Castany, C. Molinaro, M. Müller
+#
+# This notebook demonstrates how to model and simulate the optical properties of a cholesteric liquid crystal using pyElli.
+# We will build a helical structure and observe its characteristic selective reflection of circularly polarized light.
 
 # %%
 import elli
@@ -16,21 +19,40 @@
 from scipy.constants import c, pi
 
 # %%
-# Setup materials and structure
-# -----------------------------
+# Setup materials
+# ---------------
+# We start by defining the materials for our model.
+# The liquid crystal will be sandwiched between two layers of isotropic glass with a constant refractive index of 1.55.
+#
+# The liquid crystal (LC) itself is uniaxial and will be rotated to have the extraordinary axis orientated in x-direction.
+
 glass = elli.IsotropicMaterial(elli.ConstantRefractiveIndex(1.55))
 front = back = glass
 
-# Liquid crystal oriented along the x direction
+# Define the ordinary (no) and extraordinary (ne) refractive indices for the LC
 (no, ne) = (1.5, 1.7)
 Dn = ne - no
 n_med = (ne + no) / 2
+
+# Create a uniaxial material with ne oriented along the z-axis by default
 LC = elli.UniaxialMaterial(
     elli.ConstantRefractiveIndex(no), elli.ConstantRefractiveIndex(ne)
-)  # ne is along z
+)
+
+# Rotate the material so the extraordinary axis is along x instead of z
 R = elli.rotation_v_theta(elli.E_Y, 90)  # rotation of pi/2 along y
 LC.set_rotation(R)  # apply rotation from z to x
 
+# %%
+# Building the Helical Structure
+# ------------------------------
+#
+# The defining feature of a cholesteric liquid crystal is its helical structure.
+# The distance over which the director rotates by 360° is known as the cholesteric pitch (p).
+#
+# We model this by first creating a single TwistedLayer that represents one half-turn of the helix (180° rotation over a distance of p/2).
+# We then stack this layer multiple times using RepeatedLayers to build the full thickness (7.5p) of the liquid crystal cell.
+
 # Cholesteric pitch (nm):
 p = 650
 
@@ -43,31 +65,47 @@
 L = elli.RepeatedLayers([TN], N)
 s = elli.Structure(front, [L], back)
 
-# Calculation parameters
-lbda_min, lbda_max = 800, 1200  # (nm)
-lbda_B = p * n_med
+# %%
+# Setting Calculation Parameters
+# ------------------------------
+#
+# Finally, we define the wavelength range for our simulation around the central wavelength of the reflection band,
+# which is determined by the average refractive index and the pitch.
+
+# Define wavelength range in nm for the calculation
+lbda_min, lbda_max = 800, 1200
+lbda_B = p * n_med  # Expected center of the reflection band
 lbda_list = np.linspace(lbda_min, lbda_max, 100)
 
 # %%
 # Analytical calculation for the maximal reflection
 # -------------------------------------------------
+# For a cholesteric liquid crystal, we can analytically calculate the approximate edges of the reflection band and the maximum reflectance.
+# This serves as a good check for our full simulation.
+
+# Theoretical maximum reflectance
 R_th = np.tanh(Dn / n_med * pi * h / p) ** 2
+
+# Theoretical wavelength edges of the reflection band
 lbda_B1, lbda_B2 = p * no, p * ne
 
 # %%
 # Calculation with pyElli
 # -----------------------
+# Now we run the simulation using the s.evaluate() method. This calculates the Jones matrix elements for transmission and reflection.
+# They are extracted for linear (s and p), as well as circular polarized light (R and L)
+
+# Run the full optical simulation for the defined structure and wavelength list
 data = s.evaluate(lbda_list, 0)
 
+# Extract transmission coefficients for linear polarization
 T_pp = data.T_pp
 T_ps = data.T_ps
 T_ss = data.T_ss
 T_sp = data.T_sp
 
-# Transmission coefficients for incident unpolarized light:
-T_pn = 0.5 * (T_pp + T_ps)
-T_sn = 0.5 * (T_sp + T_ss)
-T_nn = T_sn + T_pn
+# Calculate transmission for unpolarized incident light
+T_nn = 0.5 * (T_pp + T_ps + T_sp + T_ss)
 
 # Transmission coefficients for 's' and 'p' polarized light, with
 # unpolarized measurement.
@@ -75,7 +113,7 @@
 T_np = T_pp + T_sp
 
 # Right-circular wave is reflected in the stop-band.
-# R_LR, T_LR close to zero.
+# A right-handed helix reflects right-circular (RR) light.
 R_RR = data.Rc_RR
 R_LR = data.Rc_LR
 T_RR = data.Tc_RR
@@ -89,6 +127,12 @@
 # %%
 # Plotting
 # --------
+# Finally, we plot the results. The plot will show the transmission and reflection spectra for various polarizations.
+#
+# We also draw a shaded rectangle representing the analytically calculated photonic stop-band.
+# Inside this band, we expect to see strong reflection for a specific circular polarization.
+# As our model is a right-handed helix, it should strongly reflect right-circularly polarized light (R_RR).
+
 fig = plt.figure()
 ax = fig.add_subplot(1, 1, 1)
 
@@ -112,4 +156,6 @@
 ax.set_ylabel(r"Power transmission $T$ and reflexion $R$")
 plt.show()
 
+# %%
+# Additionally we can visualize the refractive index n x direction of the structure in dependance of z position.
 elliplot.draw_structure(s)
diff --git a/examples/gallery/plot_interface_reflection.py b/examples/gallery/plot_interface_reflection.py
index 34952ae7..907e053f 100644
--- a/examples/gallery/plot_interface_reflection.py
+++ b/examples/gallery/plot_interface_reflection.py
@@ -4,12 +4,21 @@
 """
 
 # %%
-# Interface between two materials
-# -------------------------------
+# Reflection on interfaces between two materials
+# ==============================================
+#
 # Authors: O. Castany, C. Molinaro, M. Müller
 #
-# Interface between two materials n1/n2.
-# Calculations of the transmission and reflexion coefficients with varying incidence angle.
+# This notebook analyzes the optical behavior at the interface between two
+# isotropic materials with refractive indices n1 and n2.
+#
+# It computes the reflection and transmission coefficients as functions of
+# the incidence angle, for both s- and p-polarized light, using the
+# analytical Fresnel equations and comparing those to pyElli’s output.
+
+# %%
+# Import required libraries
+# -------------------------
 import elli
 import matplotlib.pyplot as plt
 import numpy as np
@@ -17,39 +26,61 @@
 
 # %%
 # Structure definition
-# ------------------------
+# --------------------
+#
+# We define an optical system with two materials:
+#
+# -  Frontside medium (air) with refractive index n = 1.0
+# -  Back medium (glass) with n = 1.5
+#
+# We also prepare the vacuum wavevector k0 and a range of incidence angles
+# from 0° to 89°.
+
+# Define refractive indices for the two media
 n1 = 1
 n2 = 1.5
+
+# Create isotropic materials using pyElli's ConstantRefractiveIndex model
 front = elli.IsotropicMaterial(elli.ConstantRefractiveIndex(n1))
 back = elli.IsotropicMaterial(elli.ConstantRefractiveIndex(n2))
 
-# Structure
+# Define the optical structure: just a single interface with no internal layers
 s = elli.Structure(front, [], back)
 
-# Parameters for the calculation
+# Set wavelength and wavevector
 lbda = 1000
 k0 = 2 * pi / lbda
-Phi_list = np.linspace(0, 89, 90)  #  range for the incidence angles
+
+# Define a range of incidence angles from 0° to 89°
+Phi_list = np.linspace(0, 89, 90)
 
 # %%
 # Analytical calculation
 # ------------------------
+# We calculate the Fresnel reflection and transmission coefficients for s- and p-polarized light at an interface.
+
+# Convert incidence angles from degrees to radians
 Phi_i = np.deg2rad(Phi_list)
 
+# Snell's law (allowing complex values for total internal reflection)
 Phi_t = np.arcsin((n1 * np.sin(Phi_i) / n2).astype(complex))
+
 kz1 = n1 * k0 * np.cos(Phi_i)
 kz2 = n2 * k0 * np.cos(Phi_t)
+
+# Fresnel coefficients
 r_s = (kz1 - kz2) / (kz1 + kz2)
 t_s = 1 + r_s
 r_p = (kz1 * n2**2 - kz2 * n1**2) / (kz1 * n2**2 + kz2 * n1**2)
 t_p = np.cos(Phi_i) * (1 - r_p) / np.cos(Phi_t)
 
-# Reflection and transmission coefficients, polarisation s and p
+# Reflectance and Transmittance
 R_th_ss = abs(r_s) ** 2
 R_th_pp = abs(r_p) ** 2
 t2_th_ss = abs(t_s) ** 2
 t2_th_pp = abs(t_p) ** 2
-# The power transmission coefficient is T = Re(kz2/kz1) × |t|^2
+
+# The power transmission coefficient (correction for energy conservation) is T = Re(kz2/kz1) × |t|^2
 correction = np.real(kz2 / kz1)
 T_th_ss = correction * t2_th_ss
 T_th_pp = correction * t2_th_pp
@@ -58,6 +89,8 @@
 # %%
 # Calculation with pyElli
 # -----------------------
+# Here, we simulate the same interface using pyElli.
+# Each angle is evaluated using ``Structure.evaluate()`` and then grouped in a ``ResultList`` object to get angle dependent arrays.
 data = elli.ResultList([s.evaluate(lbda, Phi_i) for Phi_i in Phi_list])
 
 R_pp = data.R_pp
@@ -70,8 +103,10 @@
 t2_ss = np.abs(data.t_ss) ** 2
 
 # %%
-# Plotting
-# ----------
+# Comparing results
+# -----------------
+# -  Theoretical results as dotted lines
+# -  PyElli results as solid lines
 fig = plt.figure(figsize=(12.0, 6.0))
 plt.rcParams["axes.prop_cycle"] = plt.cycler("color", "bgrcmk")
 ax = fig.add_axes([0.1, 0.1, 0.7, 0.8])