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    "# pyCrossTalkeR Example - Human Myocardial Infarction\n",
    "\n",
    "## Cell-Cell Communication Analysis of Human Myocardial Infarction scRNA-seq Data Using pyCrossTalkeR\n",
    "\n",
    "Here, we demonstrate the usage of pyCrossTalkeR on the case study of human myocardian infarction snRNA-seq data from the Nature paper “Spatial multi-omic map of human myocardial infarction” (Kuppe et al.). Aim of the study was to build a high-resolution map of human cardiac remodelling after myocardial infarction to provide a better understanding of these remodelling processes. We are focusing here on the conditions “myogenic” (control condition) and “ischemic” (disease condition) and go through the pyCrossTalkeR results step by step. The original paper already contains pyCrossTalkeR results and in a later part of this tutorial we will replicate a few of the results.\n",
    "\n",
    "### Ligand-Receptor Interaction Prediction with LIANA\n",
    "\n",
    "Before we can run pyCrossTalkeR, we need the prediction of ligand-receptor interaction for our data set.\n",
    "\n",
    "The scRNA-seq data contains two conditions: myogenic and ischemic conditions. We show how to execute pyCrossTalkeR and finally go over some of the results, that are also provided inside the resulting pyCrossTalkeR report."
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      "/home/james/miniconda3/envs/pyctker/lib/python3.12/site-packages/numba/np/ufunc/parallel.py:373: NumbaWarning: The TBB threading layer requires TBB version 2021 update 6 or later i.e., TBB_INTERFACE_VERSION >= 12060. Found TBB_INTERFACE_VERSION = 12050. The TBB threading layer is disabled.\n"
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l=s.append(\"p\"),u=o.split(/<br\\s*\\/?>/g),c=0;c<u.length;c++)c&&l.append(\"br\"),l.append(\"span\").text(u[c]);t===\"stick\"?s.transition().duration(350).style(\"opacity\",1):s.transition().duration(700).style(\"opacity\",1).transition().delay(r).call(a)})}});var G1=ye((Irr,fte)=>{\"use strict\";var l3=cb().dfltConfig,DO=RO(),FO=fte.exports={};FO.log=function(){var e;if(l3.logging>1){var t=[\"LOG:\"];for(e=0;e<arguments.length;e++)t.push(arguments[e]);console.trace.apply(console,t)}if(l3.notifyOnLogging>1){var r=[];for(e=0;e<arguments.length;e++)r.push(arguments[e]);DO(r.join(\"<br>\"),\"long\")}};FO.warn=function(){var e;if(l3.logging>0){var t=[\"WARN:\"];for(e=0;e<arguments.length;e++)t.push(arguments[e]);console.trace.apply(console,t)}if(l3.notifyOnLogging>0){var r=[];for(e=0;e<arguments.length;e++)r.push(arguments[e]);DO(r.join(\"<br>\"),\"stick\")}};FO.error=function(){var e;if(l3.logging>0){var t=[\"ERROR:\"];for(e=0;e<arguments.length;e++)t.push(arguments[e]);console.error.apply(console,t)}if(l3.notifyOnLogging>0){var r=[];for(e=0;e<arguments.length;e++)r.push(arguments[e]);DO(r.join(\"<br>\"),\"stick\")}}});var w6=ye((Rrr,hte)=>{\"use strict\";hte.exports=function(){}});var zO=ye((Drr,dte)=>{\"use strict\";dte.exports=function(t,r){if(r instanceof RegExp){for(var n=r.toString(),i=0;i<t.length;i++)if(t[i]instanceof RegExp&&t[i].toString()===n)return t;t.push(r)}else(r||r===0)&&t.indexOf(r)===-1&&t.push(r);return t}});var pte=ye((Frr,vte)=>{vte.exports=Jtt;function Jtt(){var e=new Float32Array(16);return e[0]=1,e[1]=0,e[2]=0,e[3]=0,e[4]=0,e[5]=1,e[6]=0,e[7]=0,e[8]=0,e[9]=0,e[10]=1,e[11]=0,e[12]=0,e[13]=0,e[14]=0,e[15]=1,e}});var mte=ye((zrr,gte)=>{gte.exports=$tt;function $tt(e){var t=new Float32Array(16);return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}});var _te=ye((Orr,yte)=>{yte.exports=Qtt;function Qtt(e,t){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}});var OO=ye((qrr,xte)=>{xte.exports=ert;function ert(e){return e[0]=1,e[1]=0,e[2]=0,e[3]=0,e[4]=0,e[5]=1,e[6]=0,e[7]=0,e[8]=0,e[9]=0,e[10]=1,e[11]=0,e[12]=0,e[13]=0,e[14]=0,e[15]=1,e}});var wte=ye((Brr,bte)=>{bte.exports=trt;function trt(e,t){if(e===t){var r=t[1],n=t[2],i=t[3],a=t[6],o=t[7],s=t[11];e[1]=t[4],e[2]=t[8],e[3]=t[12],e[4]=r,e[6]=t[9],e[7]=t[13],e[8]=n,e[9]=a,e[11]=t[14],e[12]=i,e[13]=o,e[14]=s}else e[0]=t[0],e[1]=t[4],e[2]=t[8],e[3]=t[12],e[4]=t[1],e[5]=t[5],e[6]=t[9],e[7]=t[13],e[8]=t[2],e[9]=t[6],e[10]=t[10],e[11]=t[14],e[12]=t[3],e[13]=t[7],e[14]=t[11],e[15]=t[15];return e}});var Ate=ye((Nrr,Tte)=>{Tte.exports=rrt;function rrt(e,t){var r=t[0],n=t[1],i=t[2],a=t[3],o=t[4],s=t[5],l=t[6],u=t[7],c=t[8],f=t[9],h=t[10],d=t[11],v=t[12],_=t[13],b=t[14],p=t[15],k=r*s-n*o,E=r*l-i*o,S=r*u-a*o,L=n*l-i*s,x=n*u-a*s,C=i*u-a*l,M=c*_-f*v,g=c*b-h*v,P=c*p-d*v,T=f*b-h*_,z=f*p-d*_,O=h*p-d*b,V=k*O-E*z+S*T+L*P-x*g+C*M;return V?(V=1/V,e[0]=(s*O-l*z+u*T)*V,e[1]=(i*z-n*O-a*T)*V,e[2]=(_*C-b*x+p*L)*V,e[3]=(h*x-f*C-d*L)*V,e[4]=(l*P-o*O-u*g)*V,e[5]=(r*O-i*P+a*g)*V,e[6]=(b*S-v*C-p*E)*V,e[7]=(c*C-h*S+d*E)*V,e[8]=(o*z-s*P+u*M)*V,e[9]=(n*P-r*z-a*M)*V,e[10]=(v*x-_*S+p*k)*V,e[11]=(f*S-c*x-d*k)*V,e[12]=(s*g-o*T-l*M)*V,e[13]=(r*T-n*g+i*M)*V,e[14]=(_*E-v*L-b*k)*V,e[15]=(c*L-f*E+h*k)*V,e):null}});var Mte=ye((Urr,Ste)=>{Ste.exports=irt;function irt(e,t){var r=t[0],n=t[1],i=t[2],a=t[3],o=t[4],s=t[5],l=t[6],u=t[7],c=t[8],f=t[9],h=t[10],d=t[11],v=t[12],_=t[13],b=t[14],p=t[15];return e[0]=s*(h*p-d*b)-f*(l*p-u*b)+_*(l*d-u*h),e[1]=-(n*(h*p-d*b)-f*(i*p-a*b)+_*(i*d-a*h)),e[2]=n*(l*p-u*b)-s*(i*p-a*b)+_*(i*u-a*l),e[3]=-(n*(l*d-u*h)-s*(i*d-a*h)+f*(i*u-a*l)),e[4]=-(o*(h*p-d*b)-c*(l*p-u*b)+v*(l*d-u*h)),e[5]=r*(h*p-d*b)-c*(i*p-a*b)+v*(i*d-a*h),e[6]=-(r*(l*p-u*b)-o*(i*p-a*b)+v*(i*u-a*l)),e[7]=r*(l*d-u*h)-o*(i*d-a*h)+c*(i*u-a*l),e[8]=o*(f*p-d*_)-c*(s*p-u*_)+v*(s*d-u*f),e[9]=-(r*(f*p-d*_)-c*(n*p-a*_)+v*(n*d-a*f)),e[10]=r*(s*p-u*_)-o*(n*p-a*_)+v*(n*u-a*s),e[11]=-(r*(s*d-u*f)-o*(n*d-a*f)+c*(n*u-a*s)),e[12]=-(o*(f*b-h*_)-c*(s*b-l*_)+v*(s*h-l*f)),e[13]=r*(f*b-h*_)-c*(n*b-i*_)+v*(n*h-i*f),e[14]=-(r*(s*b-l*_)-o*(n*b-i*_)+v*(n*l-i*s)),e[15]=r*(s*h-l*f)-o*(n*h-i*f)+c*(n*l-i*s),e}});var kte=ye((Vrr,Ete)=>{Ete.exports=nrt;function nrt(e){var t=e[0],r=e[1],n=e[2],i=e[3],a=e[4],o=e[5],s=e[6],l=e[7],u=e[8],c=e[9],f=e[10],h=e[11],d=e[12],v=e[13],_=e[14],b=e[15],p=t*o-r*a,k=t*s-n*a,E=t*l-i*a,S=r*s-n*o,L=r*l-i*o,x=n*l-i*s,C=u*v-c*d,M=u*_-f*d,g=u*b-h*d,P=c*_-f*v,T=c*b-h*v,z=f*b-h*_;return p*z-k*T+E*P+S*g-L*M+x*C}});var Lte=ye((Grr,Cte)=>{Cte.exports=art;function art(e,t,r){var n=t[0],i=t[1],a=t[2],o=t[3],s=t[4],l=t[5],u=t[6],c=t[7],f=t[8],h=t[9],d=t[10],v=t[11],_=t[12],b=t[13],p=t[14],k=t[15],E=r[0],S=r[1],L=r[2],x=r[3];return e[0]=E*n+S*s+L*f+x*_,e[1]=E*i+S*l+L*h+x*b,e[2]=E*a+S*u+L*d+x*p,e[3]=E*o+S*c+L*v+x*k,E=r[4],S=r[5],L=r[6],x=r[7],e[4]=E*n+S*s+L*f+x*_,e[5]=E*i+S*l+L*h+x*b,e[6]=E*a+S*u+L*d+x*p,e[7]=E*o+S*c+L*v+x*k,E=r[8],S=r[9],L=r[10],x=r[11],e[8]=E*n+S*s+L*f+x*_,e[9]=E*i+S*l+L*h+x*b,e[10]=E*a+S*u+L*d+x*p,e[11]=E*o+S*c+L*v+x*k,E=r[12],S=r[13],L=r[14],x=r[15],e[12]=E*n+S*s+L*f+x*_,e[13]=E*i+S*l+L*h+x*b,e[14]=E*a+S*u+L*d+x*p,e[15]=E*o+S*c+L*v+x*k,e}});var Ite=ye((Hrr,Pte)=>{Pte.exports=ort;function ort(e,t,r){var n=r[0],i=r[1],a=r[2],o,s,l,u,c,f,h,d,v,_,b,p;return t===e?(e[12]=t[0]*n+t[4]*i+t[8]*a+t[12],e[13]=t[1]*n+t[5]*i+t[9]*a+t[13],e[14]=t[2]*n+t[6]*i+t[10]*a+t[14],e[15]=t[3]*n+t[7]*i+t[11]*a+t[15]):(o=t[0],s=t[1],l=t[2],u=t[3],c=t[4],f=t[5],h=t[6],d=t[7],v=t[8],_=t[9],b=t[10],p=t[11],e[0]=o,e[1]=s,e[2]=l,e[3]=u,e[4]=c,e[5]=f,e[6]=h,e[7]=d,e[8]=v,e[9]=_,e[10]=b,e[11]=p,e[12]=o*n+c*i+v*a+t[12],e[13]=s*n+f*i+_*a+t[13],e[14]=l*n+h*i+b*a+t[14],e[15]=u*n+d*i+p*a+t[15]),e}});var Dte=ye((jrr,Rte)=>{Rte.exports=srt;function srt(e,t,r){var n=r[0],i=r[1],a=r[2];return e[0]=t[0]*n,e[1]=t[1]*n,e[2]=t[2]*n,e[3]=t[3]*n,e[4]=t[4]*i,e[5]=t[5]*i,e[6]=t[6]*i,e[7]=t[7]*i,e[8]=t[8]*a,e[9]=t[9]*a,e[10]=t[10]*a,e[11]=t[11]*a,e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}});var zte=ye((Wrr,Fte)=>{Fte.exports=lrt;function lrt(e,t,r,n){var i=n[0],a=n[1],o=n[2],s=Math.sqrt(i*i+a*a+o*o),l,u,c,f,h,d,v,_,b,p,k,E,S,L,x,C,M,g,P,T,z,O,V,G;return Math.abs(s)<1e-6?null:(s=1/s,i*=s,a*=s,o*=s,l=Math.sin(r),u=Math.cos(r),c=1-u,f=t[0],h=t[1],d=t[2],v=t[3],_=t[4],b=t[5],p=t[6],k=t[7],E=t[8],S=t[9],L=t[10],x=t[11],C=i*i*c+u,M=a*i*c+o*l,g=o*i*c-a*l,P=i*a*c-o*l,T=a*a*c+u,z=o*a*c+i*l,O=i*o*c+a*l,V=a*o*c-i*l,G=o*o*c+u,e[0]=f*C+_*M+E*g,e[1]=h*C+b*M+S*g,e[2]=d*C+p*M+L*g,e[3]=v*C+k*M+x*g,e[4]=f*P+_*T+E*z,e[5]=h*P+b*T+S*z,e[6]=d*P+p*T+L*z,e[7]=v*P+k*T+x*z,e[8]=f*O+_*V+E*G,e[9]=h*O+b*V+S*G,e[10]=d*O+p*V+L*G,e[11]=v*O+k*V+x*G,t!==e&&(e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15]),e)}});var qte=ye((Xrr,Ote)=>{Ote.exports=urt;function urt(e,t,r){var n=Math.sin(r),i=Math.cos(r),a=t[4],o=t[5],s=t[6],l=t[7],u=t[8],c=t[9],f=t[10],h=t[11];return t!==e&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15]),e[4]=a*i+u*n,e[5]=o*i+c*n,e[6]=s*i+f*n,e[7]=l*i+h*n,e[8]=u*i-a*n,e[9]=c*i-o*n,e[10]=f*i-s*n,e[11]=h*i-l*n,e}});var Nte=ye((Zrr,Bte)=>{Bte.exports=crt;function crt(e,t,r){var n=Math.sin(r),i=Math.cos(r),a=t[0],o=t[1],s=t[2],l=t[3],u=t[8],c=t[9],f=t[10],h=t[11];return t!==e&&(e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15]),e[0]=a*i-u*n,e[1]=o*i-c*n,e[2]=s*i-f*n,e[3]=l*i-h*n,e[8]=a*n+u*i,e[9]=o*n+c*i,e[10]=s*n+f*i,e[11]=l*n+h*i,e}});var Vte=ye((Yrr,Ute)=>{Ute.exports=frt;function frt(e,t,r){var n=Math.sin(r),i=Math.cos(r),a=t[0],o=t[1],s=t[2],l=t[3],u=t[4],c=t[5],f=t[6],h=t[7];return t!==e&&(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[0]=a*i+u*n,e[1]=o*i+c*n,e[2]=s*i+f*n,e[3]=l*i+h*n,e[4]=u*i-a*n,e[5]=c*i-o*n,e[6]=f*i-s*n,e[7]=h*i-l*n,e}});var Hte=ye((Krr,Gte)=>{Gte.exports=hrt;function hrt(e,t,r){var n,i,a,o=r[0],s=r[1],l=r[2],u=Math.sqrt(o*o+s*s+l*l);return 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sit=Pd().dash,lit=Ao().extendFlat;Vre.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:lit({},sit,{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\"}}});var E6=ye((wir,Hre)=>{\"use strict\";Hre.exports=function(e){var t=e.editType;return{t:{valType:\"number\",dflt:0,editType:t},r:{valType:\"number\",dflt:0,editType:t},b:{valType:\"number\",dflt:0,editType:t},l:{valType:\"number\",dflt:0,editType:t},editType:t}}});var c3=ye((Tir,Zre)=>{\"use strict\";var UO=ec(),uit=US(),k6=Lh(),jre=Ure(),Wre=Gre(),cit=E6(),Xre=Ao().extendFlat,C6=UO({editType:\"calc\"});C6.family.dflt='\"Open Sans\", verdana, arial, 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button.maplibregl-ctrl-compass .maplibregl-ctrl-icon{background-image:url(\"data:image/svg+xml;charset=utf-8,%3Csvg xmlns='http://www.w3.org/2000/svg' width='29' height='29' fill='%23333' viewBox='0 0 29 29'%3E%3Cpath d='m10.5 14 4-8 4 8z'/%3E%3Cpath fill='%23ccc' d='m10.5 16 4 8 4-8z'/%3E%3C/svg%3E\")}@media (forced-colors:active){.maplibregl-ctrl button.maplibregl-ctrl-compass .maplibregl-ctrl-icon{background-image:url(\"data:image/svg+xml;charset=utf-8,%3Csvg xmlns='http://www.w3.org/2000/svg' width='29' height='29' fill='%23fff' viewBox='0 0 29 29'%3E%3Cpath d='m10.5 14 4-8 4 8z'/%3E%3Cpath fill='%23ccc' d='m10.5 16 4 8 4-8z'/%3E%3C/svg%3E\")}}@media (forced-colors:active) and (prefers-color-scheme:light){.maplibregl-ctrl button.maplibregl-ctrl-compass .maplibregl-ctrl-icon{background-image:url(\"data:image/svg+xml;charset=utf-8,%3Csvg xmlns='http://www.w3.org/2000/svg' width='29' height='29' viewBox='0 0 29 29'%3E%3Cpath d='m10.5 14 4-8 4 8z'/%3E%3Cpath fill='%23ccc' d='m10.5 16 4 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9-1-1z'/%3E%3C/svg%3E\")}.maplibregl-ctrl button.maplibregl-ctrl-geolocate.maplibregl-ctrl-geolocate-active .maplibregl-ctrl-icon{background-image:url(\"data:image/svg+xml;charset=utf-8,%3Csvg xmlns='http://www.w3.org/2000/svg' width='29' height='29' fill='%2333b5e5' viewBox='0 0 20 20'%3E%3Cpath d='M10 4C9 4 9 5 9 5v.1A5 5 0 0 0 5.1 9H5s-1 0-1 1 1 1 1 1h.1A5 5 0 0 0 9 14.9v.1s0 1 1 1 1-1 1-1v-.1a5 5 0 0 0 3.9-3.9h.1s1 0 1-1-1-1-1-1h-.1A5 5 0 0 0 11 5.1V5s0-1-1-1m0 2.5a3.5 3.5 0 1 1 0 7 3.5 3.5 0 1 1 0-7'/%3E%3Ccircle cx='10' cy='10' r='2'/%3E%3C/svg%3E\")}.maplibregl-ctrl button.maplibregl-ctrl-geolocate.maplibregl-ctrl-geolocate-active-error .maplibregl-ctrl-icon{background-image:url(\"data:image/svg+xml;charset=utf-8,%3Csvg xmlns='http://www.w3.org/2000/svg' width='29' height='29' fill='%23e58978' viewBox='0 0 20 20'%3E%3Cpath d='M10 4C9 4 9 5 9 5v.1A5 5 0 0 0 5.1 9H5s-1 0-1 1 1 1 1 1h.1A5 5 0 0 0 9 14.9v.1s0 1 1 1 1-1 1-1v-.1a5 5 0 0 0 3.9-3.9h.1s1 0 1-1-1-1-1-1h-.1A5 5 0 0 0 11 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width='29' height='29' fill='%23999' viewBox='0 0 20 20'%3E%3Cpath d='M10 4C9 4 9 5 9 5v.1A5 5 0 0 0 5.1 9H5s-1 0-1 1 1 1 1 1h.1A5 5 0 0 0 9 14.9v.1s0 1 1 1 1-1 1-1v-.1a5 5 0 0 0 3.9-3.9h.1s1 0 1-1-1-1-1-1h-.1A5 5 0 0 0 11 5.1V5s0-1-1-1m0 2.5a3.5 3.5 0 1 1 0 7 3.5 3.5 0 1 1 0-7'/%3E%3Ccircle cx='10' cy='10' r='2'/%3E%3Cpath fill='red' d='m14 5 1 1-9 9-1-1z'/%3E%3C/svg%3E\")}.maplibregl-ctrl button.maplibregl-ctrl-geolocate.maplibregl-ctrl-geolocate-active .maplibregl-ctrl-icon{background-image:url(\"data:image/svg+xml;charset=utf-8,%3Csvg xmlns='http://www.w3.org/2000/svg' width='29' height='29' fill='%2333b5e5' viewBox='0 0 20 20'%3E%3Cpath d='M10 4C9 4 9 5 9 5v.1A5 5 0 0 0 5.1 9H5s-1 0-1 1 1 1 1 1h.1A5 5 0 0 0 9 14.9v.1s0 1 1 1 1-1 1-1v-.1a5 5 0 0 0 3.9-3.9h.1s1 0 1-1-1-1-1-1h-.1A5 5 0 0 0 11 5.1V5s0-1-1-1m0 2.5a3.5 3.5 0 1 1 0 7 3.5 3.5 0 1 1 0-7'/%3E%3Ccircle cx='10' cy='10' r='2'/%3E%3C/svg%3E\")}.maplibregl-ctrl 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d={},v=[],_=(r.template||{}).data||{},b=iat.traceTemplater(_);for(u=0;u<e.length;u++)f=e[u],c=b.newTrace(f),c.uid=n._traceUids[u],xa.supplyTraceDefaults(f,c,l,n,u),c.index=u,c._input=f,c._fullInput=c,h(c),Xl.traceIs(c,\"carpetAxis\")&&(d[c.carpet]=c),Xl.traceIs(c,\"carpetDependent\")&&v.push(u);for(u=0;u<v.length;u++)if(c=t[v[u]],!!c.visible){var p=d[c.carpet];if(c._carpet=p,!p||!p.visible){c.visible=!1;continue}c.xaxis=p.xaxis,c.yaxis=p.yaxis}};xa.supplyAnimationDefaults=function(e){e=e||{};var t,r={};function n(i,a){return Ga.coerce(e||{},r,vq,i,a)}if(n(\"mode\"),n(\"direction\"),n(\"fromcurrent\"),Array.isArray(e.frame))for(r.frame=[],t=0;t<e.frame.length;t++)r.frame[t]=xa.supplyAnimationFrameDefaults(e.frame[t]||{});else r.frame=xa.supplyAnimationFrameDefaults(e.frame||{});if(Array.isArray(e.transition))for(r.transition=[],t=0;t<e.transition.length;t++)r.transition[t]=xa.supplyAnimationTransitionDefaults(e.transition[t]||{});else 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i=e.template;Ga.isPlainObject(i)&&(t.template=i,t._template=i.layout,t._dataTemplate=i.data),n(\"autotypenumbers\");var a=Ga.coerceFont(n,\"font\"),o=a.size;Ga.coerceFont(n,\"title.font\",a,{overrideDflt:{size:Math.round(o*1.4)}}),n(\"title.text\",t._dfltTitle.plot),n(\"title.xref\");var s=n(\"title.yref\");n(\"title.pad.t\"),n(\"title.pad.r\"),n(\"title.pad.b\"),n(\"title.pad.l\");var l=n(\"title.automargin\");n(\"title.x\"),n(\"title.xanchor\"),n(\"title.y\"),n(\"title.yanchor\"),n(\"title.subtitle.text\",t._dfltTitle.subtitle),Ga.coerceFont(n,\"title.subtitle.font\",a,{overrideDflt:{size:Math.round(t.title.font.size*.7)}}),l&&(s===\"paper\"&&(t.title.y!==0&&(t.title.y=1),t.title.yanchor===\"auto\"&&(t.title.yanchor=t.title.y===0?\"top\":\"bottom\")),s===\"container\"&&(t.title.y===\"auto\"&&(t.title.y=1),t.title.yanchor===\"auto\"&&(t.title.yanchor=t.title.y<.5?\"bottom\":\"top\")));var u=n(\"uniformtext.mode\");u&&n(\"uniformtext.minsize\"),n(\"autosize\",!(e.width&&e.height)),n(\"width\"),n(\"height\"),n(\"minreducedwidth\"),n(\"minreducedheight\"),n(\"margin.l\"),n(\"margin.r\"),n(\"margin.t\"),n(\"margin.b\"),n(\"margin.pad\"),n(\"margin.autoexpand\"),e.width&&e.height&&xa.sanitizeMargins(t),Xl.getComponentMethod(\"grid\",\"sizeDefaults\")(e,t),n(\"paper_bgcolor\"),n(\"separators\",r.decimal+r.thousands),n(\"hidesources\"),n(\"colorway\"),n(\"datarevision\");var 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u=l?window.getComputedStyle(t):{};if(o=K6(u.width)||K6(u.maxWidth)||n.width,s=K6(u.height)||K6(u.maxHeight)||n.height,JS(a)&&a>0){var c=1-2*a;o=Math.round(c*o),s=Math.round(c*s)}}var f=xa.layoutAttributes.width.min,h=xa.layoutAttributes.height.min;o<f&&(o=f),s<h&&(s=h);var d=!r.width&&Math.abs(n.width-o)>1,v=!r.height&&Math.abs(n.height-s)>1;(v||d)&&(d&&(n.width=o),v&&(n.height=s)),t._initialAutoSize||(t._initialAutoSize={width:o,height:s}),xa.sanitizeMargins(n)};xa.supplyLayoutModuleDefaults=function(e,t,r,n){var i=Xl.componentsRegistry,a=t._basePlotModules,o,s,l,u=Xl.subplotsRegistry.cartesian;for(o in i)l=i[o],l.includeBasePlot&&l.includeBasePlot(e,t);a.length||a.push(u),t._has(\"cartesian\")&&(Xl.getComponentMethod(\"grid\",\"contentDefaults\")(e,t),u.finalizeSubplots(e,t));for(var c in t._subplots)t._subplots[c].sort(Ga.subplotSort);for(s=0;s<a.length;s++)l=a[s],l.supplyLayoutDefaults&&l.supplyLayoutDefaults(e,t,r);var f=t._modules;for(s=0;s<f.length;s++)l=f[s],l.supplyLayoutDefaults&&l.supplyLayoutDefaults(e,t,r);var h=t._transformModules;for(s=0;s<h.length;s++)l=h[s],l.supplyLayoutDefaults&&l.supplyLayoutDefaults(e,t,r,n);for(o in i)l=i[o],l.supplyLayoutDefaults&&l.supplyLayoutDefaults(e,t,r)};xa.purge=function(e){var t=e._fullLayout||{};t._glcontainer!==void 0&&(t._glcontainer.selectAll(\".gl-canvas\").remove(),t._glcontainer.remove(),t._glcanvas=null),t._modeBar&&t._modeBar.destroy(),e._transitionData&&(e._transitionData._interruptCallbacks&&(e._transitionData._interruptCallbacks.length=0),e._transitionData._animationRaf&&window.cancelAnimationFrame(e._transitionData._animationRaf)),Ga.clearThrottle(),Ga.clearResponsive(e),delete e.data,delete e.layout,delete e._fullData,delete e._fullLayout,delete e.calcdata,delete e.empty,delete e.fid,delete e.undoqueue,delete e.undonum,delete e.autoplay,delete e.changed,delete e._promises,delete e._redrawTimer,delete e._hmlumcount,delete e._hmpixcount,delete e._transitionData,delete e._transitioning,delete e._initialAutoSize,delete e._transitioningWithDuration,delete e._dragging,delete e._dragged,delete e._dragdata,delete e._hoverdata,delete e._snapshotInProgress,delete e._editing,delete e._mouseDownTime,delete e._legendMouseDownTime,e.removeAllListeners&&e.removeAllListeners()};xa.style=function(e){var t=e._fullLayout._visibleModules,r=[],n;for(n=0;n<t.length;n++){var i=t[n];i.style&&Ga.pushUnique(r,i.style)}for(n=0;n<r.length;n++)r[n](e)};xa.sanitizeMargins=function(e){if(!(!e||!e.margin)){var t=e.width,r=e.height,n=e.margin,i=t-(n.l+n.r),a=r-(n.t+n.b),o;i<0&&(o=(t-1)/(n.l+n.r),n.l=Math.floor(o*n.l),n.r=Math.floor(o*n.r)),a<0&&(o=(r-1)/(n.t+n.b),n.t=Math.floor(o*n.t),n.b=Math.floor(o*n.b))}};xa.clearAutoMarginIds=function(e){e._fullLayout._pushmarginIds={}};xa.allowAutoMargin=function(e,t){e._fullLayout._pushmarginIds[t]=1};function Gne(e){var t=e.margin;if(!e._size){var 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xa.doAutoMargin(e)}};function gat(e){if(\"_redrawFromAutoMarginCount\"in e._fullLayout)return!1;var t=Sp.list(e,\"\",!0);for(var r in t)if(t[r].autoshift||t[r].shift)return!0;return!1}xa.doAutoMargin=function(e){var t=e._fullLayout,r=t.width,n=t.height;t._size||(t._size={}),Gne(t);var i=t._size,a=t.margin,o={t:0,b:0,l:0,r:0},s=Ga.extendFlat({},i),l=a.l,u=a.r,c=a.t,f=a.b,h=t._pushmargin,d=t._pushmarginIds,v=t.minreducedwidth,_=t.minreducedheight;if(a.autoexpand!==!1){for(var b in h)d[b]||delete h[b];var p=e._fullLayout._reservedMargin;for(var k in p)for(var E in p[k]){var S=p[k][E];o[E]=Math.max(o[E],S)}h.base={l:{val:0,size:l},r:{val:1,size:u},t:{val:1,size:c},b:{val:0,size:f}};for(var L in o){var x=0;for(var C in h)C!==\"base\"&&JS(h[C][L].size)&&(x=h[C][L].size>x?h[C][L].size:x);var M=Math.max(0,a[L]-x);o[L]=Math.max(0,o[L]-M)}for(var g in h){var P=h[g].l||{},T=h[g].b||{},z=P.val,O=P.size,V=T.val,G=T.size,Z=r-o.r-o.l,j=n-o.t-o.b;for(var N in h){if(JS(O)&&h[N].r){var 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nL=lb(),E3=pv();uoe.exports={moduleType:\"component\",name:\"colorscale\",attributes:Tu(),layoutAttributes:Tq(),supplyLayoutDefaults:noe(),handleDefaults:Qh(),crossTraceDefaults:ooe(),calc:gv(),scales:nL.scales,defaultScale:nL.defaultScale,getScale:nL.get,isValidScale:nL.isValid,hasColorscale:E3.hasColorscale,extractOpts:E3.extractOpts,extractScale:E3.extractScale,flipScale:E3.flipScale,makeColorScaleFunc:E3.makeColorScaleFunc,makeColorScaleFuncFromTrace:E3.makeColorScaleFuncFromTrace}});var Ru=ye((znr,foe)=>{\"use strict\";var coe=Dr(),Mot=vv().isTypedArraySpec;foe.exports={hasLines:function(e){return e.visible&&e.mode&&e.mode.indexOf(\"lines\")!==-1},hasMarkers:function(e){return e.visible&&(e.mode&&e.mode.indexOf(\"markers\")!==-1||e.type===\"splom\")},hasText:function(e){return e.visible&&e.mode&&e.mode.indexOf(\"text\")!==-1},isBubble:function(e){var t=e.marker;return coe.isPlainObject(t)&&(coe.isArrayOrTypedArray(t.size)||Mot(t.size))}}});var k3=ye((Onr,hoe)=>{\"use strict\";var Eot=Eo();hoe.exports=function(t,r){r||(r=2);var n=t.marker,i=n.sizeref||1,a=n.sizemin||0,o=n.sizemode===\"area\"?function(s){return Math.sqrt(s/i)}:function(s){return s/i};return function(s){var l=o(s/r);return Eot(l)&&l>0?Math.max(l,a):0}}});var ip=ye(mv=>{\"use strict\";var aL=Dr();mv.getSubplot=function(e){return e.subplot||e.xaxis+e.yaxis||e.geo};mv.isTraceInSubplots=function(e,t){if(e.type===\"splom\"){for(var r=e.xaxes||[],n=e.yaxes||[],i=0;i<r.length;i++)for(var a=0;a<n.length;a++)if(t.indexOf(r[i]+n[a])!==-1)return!0;return!1}return t.indexOf(mv.getSubplot(e))!==-1};mv.flat=function(e,t){for(var r=new Array(e.length),n=0;n<e.length;n++)r[n]=t;return r};mv.p2c=function(e,t){for(var r=new Array(e.length),n=0;n<e.length;n++)r[n]=e[n].p2c(t);return r};mv.getDistanceFunction=function(e,t,r,n){return e===\"closest\"?n||mv.quadrature(t,r):e.charAt(0)===\"x\"?t:r};mv.getClosest=function(e,t,r){if(r.index!==!1)r.index>=0&&r.index<e.length?r.distance=0:r.index=!1;else for(var 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0&&(e[o]=l)}}};mv.appendArrayMultiPointValues=function(e,t,r){var n=t._arrayAttrs;if(n)for(var i=0;i<n.length;i++){var a=n[i],o=doe(a);if(e[o]===void 0){for(var s=aL.nestedProperty(t,a).get(),l=new Array(r.length),u=0;u<r.length;u++)l[u]=voe(s,r[u]);e[o]=l}}};var kot={ids:\"id\",locations:\"location\",labels:\"label\",values:\"value\",\"marker.colors\":\"color\",parents:\"parent\"};function doe(e){return kot[e]||e}function voe(e,t){if(Array.isArray(t)){if(aL.isArrayOrTypedArray(e)&&aL.isArrayOrTypedArray(e[t[0]]))return e[t[0]][t[1]]}else return e[t]}var Cot={x:!0,y:!0},Lot={\"x unified\":!0,\"y unified\":!0};mv.isUnifiedHover=function(e){return typeof e!=\"string\"?!1:!!Lot[e]};mv.isXYhover=function(e){return typeof e!=\"string\"?!1:!!Cot[e]}});var eM=ye((Bnr,poe)=>{poe.exports=Iot;var Fq={a:7,c:6,h:1,l:2,m:2,q:4,s:4,t:2,v:1,z:0},Pot=/([astvzqmhlc])([^astvzqmhlc]*)/ig;function Iot(e){var t=[];return e.replace(Pot,function(r,n,i){var a=n.toLowerCase();for(i=Dot(i),a==\"m\"&&i.length>2&&(t.push([n].concat(i.splice(0,2))),a=\"l\",n=n==\"m\"?\"l\":\"L\");;){if(i.length==Fq[a])return i.unshift(n),t.push(i);if(i.length<Fq[a])throw new Error(\"malformed path data\");t.push([n].concat(i.splice(0,Fq[a])))}}),t}var Rot=/-?[0-9]*\\.?[0-9]+(?:e[-+]?\\d+)?/ig;function Dot(e){var t=e.match(Rot);return t?t.map(Number):[]}});var woe=ye((Nnr,boe)=>{\"use strict\";var Fot=eM(),ca=function(e,t){return t?Math.round(e*(t=Math.pow(10,t)))/t:Math.round(e)},hs=\"M0,0Z\",goe=Math.sqrt(2),i_=Math.sqrt(3),zq=Math.PI,Oq=Math.cos,qq=Math.sin;boe.exports={circle:{n:0,f:function(e,t,r){if(ds(t))return hs;var n=ca(e,2),i=\"M\"+n+\",0A\"+n+\",\"+n+\" 0 1,1 0,-\"+n+\"A\"+n+\",\"+n+\" 0 0,1 \"+n+\",0Z\";return r?vs(t,r,i):i}},square:{n:1,f:function(e,t,r){if(ds(t))return hs;var n=ca(e,2);return vs(t,r,\"M\"+n+\",\"+n+\"H-\"+n+\"V-\"+n+\"H\"+n+\"Z\")}},diamond:{n:2,f:function(e,t,r){if(ds(t))return hs;var n=ca(e*1.3,2);return 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vs(t,r,\"M\"+i+\",-\"+n+\"V\"+n+\"L-\"+a+\",0Z\")}},\"triangle-right\":{n:8,f:function(e,t,r){if(ds(t))return hs;var n=ca(e*2/i_,2),i=ca(e/2,2),a=ca(e,2);return vs(t,r,\"M-\"+i+\",-\"+n+\"V\"+n+\"L\"+a+\",0Z\")}},\"triangle-ne\":{n:9,f:function(e,t,r){if(ds(t))return hs;var n=ca(e*.6,2),i=ca(e*1.2,2);return vs(t,r,\"M-\"+i+\",-\"+n+\"H\"+n+\"V\"+i+\"Z\")}},\"triangle-se\":{n:10,f:function(e,t,r){if(ds(t))return hs;var n=ca(e*.6,2),i=ca(e*1.2,2);return vs(t,r,\"M\"+n+\",-\"+i+\"V\"+n+\"H-\"+i+\"Z\")}},\"triangle-sw\":{n:11,f:function(e,t,r){if(ds(t))return hs;var n=ca(e*.6,2),i=ca(e*1.2,2);return vs(t,r,\"M\"+i+\",\"+n+\"H-\"+n+\"V-\"+i+\"Z\")}},\"triangle-nw\":{n:12,f:function(e,t,r){if(ds(t))return hs;var n=ca(e*.6,2),i=ca(e*1.2,2);return vs(t,r,\"M-\"+n+\",\"+i+\"V-\"+n+\"H\"+i+\"Z\")}},pentagon:{n:13,f:function(e,t,r){if(ds(t))return hs;var n=ca(e*.951,2),i=ca(e*.588,2),a=ca(-e,2),o=ca(e*-.309,2),s=ca(e*.809,2);return vs(t,r,\"M\"+n+\",\"+o+\"L\"+i+\",\"+s+\"H-\"+i+\"L-\"+n+\",\"+o+\"L0,\"+a+\"Z\")}},hexagon:{n:14,f:function(e,t,r){if(ds(t))return hs;var n=ca(e,2),i=ca(e/2,2),a=ca(e*i_/2,2);return vs(t,r,\"M\"+a+\",-\"+i+\"V\"+i+\"L0,\"+n+\"L-\"+a+\",\"+i+\"V-\"+i+\"L0,-\"+n+\"Z\")}},hexagon2:{n:15,f:function(e,t,r){if(ds(t))return hs;var n=ca(e,2),i=ca(e/2,2),a=ca(e*i_/2,2);return vs(t,r,\"M-\"+i+\",\"+a+\"H\"+i+\"L\"+n+\",0L\"+i+\",-\"+a+\"H-\"+i+\"L-\"+n+\",0Z\")}},octagon:{n:16,f:function(e,t,r){if(ds(t))return hs;var n=ca(e*.924,2),i=ca(e*.383,2);return vs(t,r,\"M-\"+i+\",-\"+n+\"H\"+i+\"L\"+n+\",-\"+i+\"V\"+i+\"L\"+i+\",\"+n+\"H-\"+i+\"L-\"+n+\",\"+i+\"V-\"+i+\"Z\")}},star:{n:17,f:function(e,t,r){if(ds(t))return hs;var n=e*1.4,i=ca(n*.225,2),a=ca(n*.951,2),o=ca(n*.363,2),s=ca(n*.588,2),l=ca(-n,2),u=ca(n*-.309,2),c=ca(n*.118,2),f=ca(n*.809,2),h=ca(n*.382,2);return vs(t,r,\"M\"+i+\",\"+u+\"H\"+a+\"L\"+o+\",\"+c+\"L\"+s+\",\"+f+\"L0,\"+h+\"L-\"+s+\",\"+f+\"L-\"+o+\",\"+c+\"L-\"+a+\",\"+u+\"H-\"+i+\"L0,\"+l+\"Z\")}},hexagram:{n:18,f:function(e,t,r){if(ds(t))return hs;var n=ca(e*.66,2),i=ca(e*.38,2),a=ca(e*.76,2);return vs(t,r,\"M-\"+a+\",0l-\"+i+\",-\"+n+\"h\"+a+\"l\"+i+\",-\"+n+\"l\"+i+\",\"+n+\"h\"+a+\"l-\"+i+\",\"+n+\"l\"+i+\",\"+n+\"h-\"+a+\"l-\"+i+\",\"+n+\"l-\"+i+\",-\"+n+\"h-\"+a+\"Z\")}},\"star-triangle-up\":{n:19,f:function(e,t,r){if(ds(t))return hs;var n=ca(e*i_*.8,2),i=ca(e*.8,2),a=ca(e*1.6,2),o=ca(e*4,2),s=\"A \"+o+\",\"+o+\" 0 0 1 \";return vs(t,r,\"M-\"+n+\",\"+i+s+n+\",\"+i+s+\"0,-\"+a+s+\"-\"+n+\",\"+i+\"Z\")}},\"star-triangle-down\":{n:20,f:function(e,t,r){if(ds(t))return hs;var n=ca(e*i_*.8,2),i=ca(e*.8,2),a=ca(e*1.6,2),o=ca(e*4,2),s=\"A \"+o+\",\"+o+\" 0 0 1 \";return vs(t,r,\"M\"+n+\",-\"+i+s+\"-\"+n+\",-\"+i+s+\"0,\"+a+s+n+\",-\"+i+\"Z\")}},\"star-square\":{n:21,f:function(e,t,r){if(ds(t))return hs;var 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T=[i||\"noSh\",u||\"noBg\",c||\"noFg\",a,o].join(\";\"),z=d._defs.select(\".patterns\").selectAll(\"#\"+v).data([T],Du.identity);z.exit().remove(),z.enter().append(\"pattern\").each(function(){var O=dd.select(this);if(O.attr({id:v,width:_+\"px\",height:b+\"px\",patternUnits:\"userSpaceOnUse\",patternTransform:h?\"scale(0.8)\":\"\"}),u){var V=Hq(u),G=Kd.tinyRGB(V),Z=V.getAlpha(),j=O.selectAll(\"rect\").data([0]);j.exit().remove(),j.enter().append(\"rect\").attr({width:_+\"px\",height:b+\"px\",fill:G,\"fill-opacity\":Z})}var N=O.selectAll(L).data([0]);N.exit().remove(),N.enter().append(L).attr(x)}),e.style(\"fill\",jq(v,r)).style(\"fill-opacity\",null),e.classed(\"pattern_filled\",!0)};Aa.initGradients=function(e){var t=e._fullLayout,r=Du.ensureSingle(t._defs,\"g\",\"gradients\");r.selectAll(\"linearGradient,radialGradient\").remove(),dd.select(e).selectAll(\".gradient_filled\").classed(\"gradient_filled\",!1)};Aa.initPatterns=function(e){var t=e._fullLayout,r=Du.ensureSingle(t._defs,\"g\",\"patterns\");r.selectAll(\"pattern\").remove(),dd.select(e).selectAll(\".pattern_filled\").classed(\"pattern_filled\",!1)};Aa.getPatternAttr=function(e,t,r){return e&&Du.isArrayOrTypedArray(e)?t<e.length?e[t]:r:e};Aa.pointStyle=function(e,t,r,n){if(e.size()){var i=Aa.makePointStyleFns(t);e.each(function(a){Aa.singlePointStyle(a,dd.select(this),t,i,r,n)})}};Aa.singlePointStyle=function(e,t,r,n,i,a){var o=r.marker,s=o.line;if(a&&a.i>=0&&e.i===void 0&&(e.i=a.i),t.style(\"opacity\",n.selectedOpacityFn?n.selectedOpacityFn(e):e.mo===void 0?o.opacity:e.mo),n.ms2mrc){var l;e.ms===\"various\"||o.size===\"various\"?l=3:l=n.ms2mrc(e.ms),e.mrc=l,n.selectedSizeFn&&(l=e.mrc=n.selectedSizeFn(e));var u=Aa.symbolNumber(e.mx||o.symbol)||0;e.om=u%200>=100;var c=Xq(e,r),f=Wq(e,r);t.attr(\"d\",Doe(u,l,c,f))}var h=!1,d,v,_;if(e.so)_=s.outlierwidth,v=s.outliercolor,d=o.outliercolor;else{var b=(s||{}).width;_=(e.mlw+1||b+1||(e.trace?(e.trace.marker.line||{}).width:0)+1)-1||0,\"mlc\"in e?v=e.mlcc=n.lineScale(e.mlc):Du.isArrayOrTypedArray(s.color)?v=Kd.defaultLine:v=s.color,Du.isArrayOrTypedArray(o.color)&&(d=Kd.defaultLine,h=!0),\"mc\"in e?d=e.mcc=n.markerScale(e.mc):d=o.color||o.colors||\"rgba(0,0,0,0)\",n.selectedColorFn&&(d=n.selectedColorFn(e))}if(e.om)t.call(Kd.stroke,d).style({\"stroke-width\":(_||1)+\"px\",fill:\"none\"});else{t.style(\"stroke-width\",(e.isBlank?0:_)+\"px\");var p=o.gradient,k=e.mgt;k?h=!0:k=p&&p.type,Du.isArrayOrTypedArray(k)&&(k=k[0],Foe[k]||(k=0));var E=o.pattern,S=Aa.getPatternAttr,L=E&&(S(E.shape,e.i,\"\")||S(E.path,e.i,\"\"));if(k&&k!==\"none\"){var x=e.mgc;x?h=!0:x=p.color;var C=r.uid;h&&(C+=\"-\"+e.i),Aa.gradient(t,i,C,k,[[0,x],[1,d]],\"fill\")}else if(L){var M=!1,g=E.fgcolor;!g&&a&&a.color&&(g=a.color,M=!0);var P=S(g,e.i,a&&a.color||null),T=S(E.bgcolor,e.i,null),z=E.fgopacity,O=S(E.size,e.i,8),V=S(E.solidity,e.i,.3);M=M||e.mcc||Du.isArrayOrTypedArray(E.shape)||Du.isArrayOrTypedArray(E.path)||Du.isArrayOrTypedArray(E.bgcolor)||Du.isArrayOrTypedArray(E.fgcolor)||Du.isArrayOrTypedArray(E.size)||Du.isArrayOrTypedArray(E.solidity);var G=r.uid;M&&(G+=\"-\"+e.i),Aa.pattern(t,\"point\",i,G,L,O,V,e.mcc,E.fillmode,T,P,z)}else Du.isArrayOrTypedArray(d)?Kd.fill(t,d[e.i]):Kd.fill(t,d);_&&Kd.stroke(t,v)}};Aa.makePointStyleFns=function(e){var t={},r=e.marker;return t.markerScale=Aa.tryColorscale(r,\"\"),t.lineScale=Aa.tryColorscale(r,\"line\"),sL.traceIs(e,\"symbols\")&&(t.ms2mrc=Uot.isBubble(e)?Vot(e):function(){return(r.size||6)/2}),e.selectedpoints&&Du.extendFlat(t,Aa.makeSelectedPointStyleFns(e)),t};Aa.makeSelectedPointStyleFns=function(e){var t={},r=e.selected||{},n=e.unselected||{},i=e.marker||{},a=r.marker||{},o=n.marker||{},s=i.opacity,l=a.opacity,u=o.opacity,c=l!==void 0,f=u!==void 0;(Du.isArrayOrTypedArray(s)||c||f)&&(t.selectedOpacityFn=function(S){var L=S.mo===void 0?i.opacity:S.mo;return S.selected?c?l:L:f?u:Ioe*L});var h=i.color,d=a.color,v=o.color;(d||v)&&(t.selectedColorFn=function(S){var L=S.mcc||h;return S.selected?d||L:v||L});var _=i.size,b=a.size,p=o.size,k=b!==void 0,E=p!==void 0;return sL.traceIs(e,\"symbols\")&&(k||E)&&(t.selectedSizeFn=function(S){var L=S.mrc||_/2;return S.selected?k?b/2:L:E?p/2:L}),t};Aa.makeSelectedTextStyleFns=function(e){var t={},r=e.selected||{},n=e.unselected||{},i=e.textfont||{},a=r.textfont||{},o=n.textfont||{},s=i.color,l=a.color,u=o.color;return t.selectedTextColorFn=function(c){var f=c.tc||s;return c.selected?l||f:u||(l?f:Kd.addOpacity(f,Ioe))},t};Aa.selectedPointStyle=function(e,t){if(!(!e.size()||!t.selectedpoints)){var r=Aa.makeSelectedPointStyleFns(t),n=t.marker||{},i=[];r.selectedOpacityFn&&i.push(function(a,o){a.style(\"opacity\",r.selectedOpacityFn(o))}),r.selectedColorFn&&i.push(function(a,o){Kd.fill(a,r.selectedColorFn(o))}),r.selectedSizeFn&&i.push(function(a,o){var s=o.mx||n.symbol||0,l=r.selectedSizeFn(o);a.attr(\"d\",Doe(Aa.symbolNumber(s),l,Xq(o,t),Wq(o,t))),o.mrc2=l}),i.length&&e.each(function(a){for(var o=dd.select(this),s=0;s<i.length;s++)i[s](o,a)})}};Aa.tryColorscale=function(e,t){var r=t?Du.nestedProperty(e,t).get():e;if(r){var n=r.color;if((r.colorscale||r._colorAx)&&Du.isArrayOrTypedArray(n))return Oot.makeColorScaleFuncFromTrace(r)}return Du.identity};var Nq={start:1,end:-1,middle:0,bottom:1,top:-1};function Ooe(e,t,r,n,i){var a=dd.select(e.node().parentNode),o=t.indexOf(\"top\")!==-1?\"top\":t.indexOf(\"bottom\")!==-1?\"bottom\":\"middle\",s=t.indexOf(\"left\")!==-1?\"end\":t.indexOf(\"right\")!==-1?\"start\":\"middle\",l=n?n/.8+1:0,u=(lL.lineCount(e)-1)*Not+1,c=Nq[s]*l,f=r*.75+Nq[o]*l+(Nq[o]-1)*u*r/2;e.attr(\"text-anchor\",s),i||a.attr(\"transform\",rM(c,f))}function qoe(e,t){var r=e.ts||t.textfont.size;return Sb(r)&&r>0?r:0}Aa.textPointStyle=function(e,t,r){if(e.size()){var n;if(t.selectedpoints){var i=Aa.makeSelectedTextStyleFns(t);n=i.selectedTextColorFn}var a=t.texttemplate,o=r._fullLayout;e.each(function(s){var l=dd.select(this),u=a?Du.extractOption(s,t,\"txt\",\"texttemplate\"):Du.extractOption(s,t,\"tx\",\"text\");if(!u&&u!==0){l.remove();return}if(a){var c=t._module.formatLabels,f=c?c(s,t,o):{},h={};Got(h,t,s.i),u=Du.texttemplateString({data:[h,s,t._meta],fallback:t.texttemplatefallback,labels:f,locale:o._d3locale,template:u})}var d=s.tp||t.textposition,v=qoe(s,t),_=n?n(s):s.tc||t.textfont.color;l.call(Aa.font,{family:s.tf||t.textfont.family,weight:s.tw||t.textfont.weight,style:s.ty||t.textfont.style,variant:s.tv||t.textfont.variant,textcase:s.tC||t.textfont.textcase,lineposition:s.tE||t.textfont.lineposition,shadow:s.tS||t.textfont.shadow,size:v,color:_}).text(u).call(lL.convertToTspans,r).call(Ooe,d,v,s.mrc)})}};Aa.selectedTextStyle=function(e,t){if(!(!e.size()||!t.selectedpoints)){var r=Aa.makeSelectedTextStyleFns(t);e.each(function(n){var i=dd.select(this),a=r.selectedTextColorFn(n),o=n.tp||t.textposition,s=qoe(n,t);Kd.fill(i,a);var l=sL.traceIs(t,\"bar-like\");Ooe(i,o,s,n.mrc2||n.mrc,l)})}};var Soe=.5;Aa.smoothopen=function(e,t){if(e.length<3)return\"M\"+e.join(\"L\");var r=\"M\"+e[0],n=[],i;for(i=1;i<e.length-1;i++)n.push(oL(e[i-1],e[i],e[i+1],t));for(r+=\"Q\"+n[0][0]+\" \"+e[1],i=2;i<e.length-1;i++)r+=\"C\"+n[i-2][1]+\" \"+n[i-1][0]+\" \"+e[i];return r+=\"Q\"+n[e.length-3][1]+\" 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Yot={hv:function(e,t,r){return\"H\"+Tb(t[0])+\"V\"+C3(t,1,r)},vh:function(e,t,r){return\"V\"+Ab(t[1])+\"H\"+C3(t,0,r)},hvh:function(e,t,r){return\"H\"+Tb((e[0]+t[0])/2)+\"V\"+Ab(t[1])+\"H\"+C3(t,0,r)},vhv:function(e,t,r){return\"V\"+Ab((e[1]+t[1])/2)+\"H\"+Tb(t[0])+\"V\"+C3(t,1,r)}},Kot=function(e,t,r){return\"L\"+C3(t,0,r)+\",\"+C3(t,1,r)};Aa.steps=function(e){var t=Yot[e]||Kot;return function(r){for(var n=\"M\"+Tb(r[0][0])+\",\"+Ab(r[0][1]),i=r.length,a=1;a<i;a++)n+=t(r[a-1],r[a],a===i-1);return n}};function Uoe(e,t){var r=e.backoff,n=e.trace,i=e.d,a=e.i;if(r&&n&&n.marker&&n.marker.angle%360===0&&n.line&&n.line.shape!==\"spline\"){var o=Du.isArrayOrTypedArray(r),s=e,l=t?t[0]:Boe||0,u=t?t[1]:Noe||0,c=s[0],f=s[1],h=c-l,d=f-u,v=Math.atan2(d,h),_=o?r[a]:r;if(_===\"auto\"){var b=s.i;n.type===\"scatter\"&&b--;var p=s.marker,k=p.symbol;Du.isArrayOrTypedArray(k)&&(k=k[b]);var E=p.size;Du.isArrayOrTypedArray(E)&&(E=E[b]),_=p?Aa.symbolBackOffs[Aa.symbolNumber(k)]*E:0,_+=Aa.getMarkerStandoff(i[b],n)||0}var S=c-_*Math.cos(v),L=f-_*Math.sin(v);(S<=c&&S>=l||S>=c&&S<=l)&&(L<=f&&L>=u||L>=f&&L<=u)&&(e=[S,L])}return e}Aa.applyBackoff=Uoe;Aa.makeTester=function(){var e=Du.ensureSingleById(dd.select(\"body\"),\"svg\",\"js-plotly-tester\",function(r){r.attr(qot.svgAttrs).style({position:\"absolute\",left:\"-10000px\",top:\"-10000px\",width:\"9000px\",height:\"9000px\",\"z-index\":\"1\"})}),t=Du.ensureSingle(e,\"path\",\"js-reference-point\",function(r){r.attr(\"d\",\"M0,0H1V1H0Z\").style({\"stroke-width\":0,fill:\"black\"})});Aa.tester=e,Aa.testref=t};Aa.savedBBoxes={};var Uq=0,Jot=1e4;Aa.bBox=function(e,t,r){r||(r=Moe(e));var n;if(r){if(n=Aa.savedBBoxes[r],n)return Du.extendFlat({},n)}else if(e.childNodes.length===1){var i=e.childNodes[0];if(r=Moe(i),r){var a=+i.getAttribute(\"x\")||0,o=+i.getAttribute(\"y\")||0,s=i.getAttribute(\"transform\");if(!s){var l=Aa.bBox(i,!1,r);return a&&(l.left+=a,l.right+=a),o&&(l.top+=o,l.bottom+=o),l}if(r+=\"~\"+a+\"~\"+o+\"~\"+s,n=Aa.savedBBoxes[r],n)return Du.extendFlat({},n)}}var u,c;t?u=e:(c=Aa.tester.node(),u=e.cloneNode(!0),c.appendChild(u)),dd.select(u).attr(\"transform\",null).call(lL.positionText,0,0);var f=u.getBoundingClientRect(),h=Aa.testref.node().getBoundingClientRect();t||c.removeChild(u);var d={height:f.height,width:f.width,left:f.left-h.left,top:f.top-h.top,right:f.right-h.left,bottom:f.bottom-h.top};return Uq>=Jot&&(Aa.savedBBoxes={},Uq=0),r&&(Aa.savedBBoxes[r]=d),Uq++,Du.extendFlat({},d)};function Moe(e){var t=e.getAttribute(\"data-unformatted\");if(t!==null)return t+e.getAttribute(\"data-math\")+e.getAttribute(\"text-anchor\")+e.getAttribute(\"style\")}Aa.setClipUrl=function(e,t,r){e.attr(\"clip-path\",jq(t,r))};function jq(e,t){if(!e)return null;var r=t._context,n=r._exportedPlot?\"\":r._baseUrl||\"\";return 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t.l2p(t.r2c(S))},t.p2d=function(S){return l(p(S))},t.r2p=t.d2p,t.p2r=p,t.cleanPos=function(S){return Array.isArray(S)||typeof S==\"string\"&&S!==\"\"?S:mm(S)},t.setupMultiCategory=function(S){var L=t._traceIndices,x,C,M=t._matchGroup;if(M&&t._categories.length===0){for(var g in M)if(g!==n){var P=r[vL.id2name(g)];L=L.concat(P._traceIndices)}}var T=[[0,{}],[0,{}]],z=[];for(x=0;x<L.length;x++){var O=S[L[x]];if(i in O){var V=O[i],G=O._length||yc.minRowLength(V);if(Zoe(V[0])&&Zoe(V[1]))for(C=0;C<G;C++){var Z=V[0][C],j=V[1][C];Jq(Z)&&Jq(j)&&(z.push([Z,j]),Z in T[0][1]||(T[0][1][Z]=T[0][0]++),j in T[1][1]||(T[1][1][j]=T[1][0]++))}}}for(z.sort(function(N,H){var te=T[0][1],oe=te[N[0]]-te[H[0]];if(oe)return oe;var _e=T[1][1];return _e[N[1]]-_e[H[1]]}),x=0;x<z.length;x++)u(z[x])}),t.fraction2r=function(S){var L=t.r2l(t.range[0]),x=t.r2l(t.range[1]);return t.l2r(L+S*(x-L))},t.r2fraction=function(S){var L=t.r2l(t.range[0]),x=t.r2l(t.range[1]);return(t.r2l(S)-L)/(x-L)},t.limitRange=function(S){var L=t.minallowed,x=t.maxallowed;if(!(L===void 0&&x===void 0)){S||(S=\"range\");var C=yc.nestedProperty(t,S).get(),M=yc.simpleMap(C,t.r2l),g=M[1]<M[0];g&&M.reverse();var P=yc.simpleMap([L,x],t.r2l);if(L!==void 0&&M[0]<P[0]&&(C[g?1:0]=L),x!==void 0&&M[1]>P[1]&&(C[g?0:1]=x),C[0]===C[1]){var T=t.l2r(L),z=t.l2r(x);if(L!==void 0){var O=T+1;x!==void 0&&(O=Math.min(O,z)),C[g?1:0]=O}if(x!==void 0){var V=z+1;L!==void 0&&(V=Math.max(V,T)),C[g?0:1]=V}}}},t.cleanRange=function(S,L){t._cleanRange(S,L),t.limitRange(S)},t._cleanRange=function(S,L){L||(L={}),S||(S=\"range\");var x=yc.nestedProperty(t,S).get(),C,M;if(t.type===\"date\"?M=yc.dfltRange(t.calendar):i===\"y\"?M=mL.DFLTRANGEY:t._name===\"realaxis\"?M=[0,1]:M=L.dfltRange||mL.DFLTRANGEX,M=M.slice(),(t.rangemode===\"tozero\"||t.rangemode===\"nonnegative\")&&(M[0]=0),!x||x.length!==2){yc.nestedProperty(t,S).set(M);return}var 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i=t.l2p(t._vals[n].x),a=e.p2l(i),o=Qn.tickText(e,a);t._vals[n].minor&&(o.minor=!0,o.text=\"\"),r.push(o)}}return r=Tse(e,r),r}function gse(e,t){var r=Jo.simpleMap(e.range,e.r2l),n=vB(r),i=Math.min(n[0],n[1]),a=Math.max(n[0],n[1]),o=e.type===\"category\"?e.d2l_noadd:e.d2l;e.type===\"log\"&&String(e.dtick).charAt(0)!==\"L\"&&(e.dtick=\"L\"+Math.pow(10,Math.floor(Math.min(e.range[0],e.range[1]))-1));for(var s=[],l=0;l<=1;l++)if(!(t!==void 0&&(t&&l||t===!1&&!l))&&!(l&&!e.minor)){var u=l?e.minor.tickvals:e.tickvals,c=l?[]:e.ticktext;if(u){Jo.isArrayOrTypedArray(c)||(c=[]);for(var f=0;f<u.length;f++){var h=o(u[f]);if(h>i&&h<a){var d=Qn.tickText(e,h,!1,String(c[f]));l&&(d.minor=!0,d.text=\"\"),s.push(d)}}}}return s=Tse(e,s),s}var bL=[2,5,10],mse=[1,2,3,6,12],yse=[1,2,5,10,15,30],Zst=[1,2,3,7,14],Ase=[-.046,0,.301,.477,.602,.699,.778,.845,.903,.954,1],Sse=[-.301,0,.301,.699,1],Yst=[15,30,45,90,180];function _m(e,t,r){return t*Jo.roundUp(e/t,r)}Qn.autoTicks=function(e,t,r){var n;function i(f){return Math.pow(f,Math.floor(Math.log(t)/Math.LN10))}if(e.type===\"date\"){e.tick0=Jo.dateTick0(e.calendar,0);var a=2*t;if(a>TL)t/=TL,n=i(10),e.dtick=\"M\"+12*_m(t,n,bL);else if(a>z3)t/=z3,e.dtick=\"M\"+_m(t,1,mse);else if(a>Ov){if(e.dtick=_m(t,Ov,e._hasDayOfWeekBreaks?[1,2,7,14]:Zst),!r){var o=Qn.getTickFormat(e),s=e.ticklabelmode===\"period\";s&&(e._rawTick0=e.tick0),/%[uVW]/.test(o)?e.tick0=Jo.dateTick0(e.calendar,2):e.tick0=Jo.dateTick0(e.calendar,1),s&&(e._dowTick0=e.tick0)}}else a>xm?e.dtick=_m(t,xm,mse):a>sM?e.dtick=_m(t,sM,yse):a>EL?e.dtick=_m(t,EL,yse):(n=i(10),e.dtick=_m(t,n,bL))}else if(e.type===\"log\"){e.tick0=0;var l=Jo.simpleMap(e.range,e.r2l);if(e._isMinor&&(t*=1.5),t>.7)e.dtick=Math.ceil(t);else if(Math.abs(l[1]-l[0])<1){var u=1.5*Math.abs((l[1]-l[0])/t);t=Math.abs(Math.pow(10,l[1])-Math.pow(10,l[0]))/u,n=i(10),e.dtick=\"L\"+_m(t,n,bL)}else e.dtick=t>.3?\"D2\":\"D1\"}else e.type===\"category\"||e.type===\"multicategory\"?(e.tick0=0,e.dtick=Math.ceil(Math.max(t,1))):yB(e)?(e.tick0=0,n=1,e.dtick=_m(t,n,Yst)):(e.tick0=0,n=i(10),e.dtick=_m(t,n,bL));if(e.dtick===0&&(e.dtick=1),!Ih(e.dtick)&&typeof e.dtick!=\"string\"){var c=e.dtick;throw e.dtick=1,\"ax.dtick error: \"+String(c)}};function Mse(e){var t=e.dtick;if(e._tickexponent=0,!Ih(t)&&typeof t!=\"string\"&&(t=1),(e.type===\"category\"||e.type===\"multicategory\")&&(e._tickround=null),e.type===\"date\"){var r=e.r2l(e.tick0),n=e.l2r(r).replace(/(^-|i)/g,\"\"),i=n.length;if(String(t).charAt(0)===\"M\")i>10||n.slice(5)!==\"01-01\"?e._tickround=\"d\":e._tickround=+t.slice(1)%12===0?\"y\":\"m\";else if(t>=Ov&&i<=10||t>=Ov*15)e._tickround=\"d\";else if(t>=sM&&i<=16||t>=xm)e._tickround=\"M\";else if(t>=EL&&i<=19||t>=sM)e._tickround=\"S\";else{var a=e.l2r(r+t).replace(/^-/,\"\").length;e._tickround=Math.max(i,a)-20,e._tickround<0&&(e._tickround=4)}}else if(Ih(t)||t.charAt(0)===\"L\"){var o=e.range.map(e.r2d||Number);Ih(t)||(t=Number(t.slice(1))),e._tickround=2-Math.floor(Math.log(t)/Math.LN10+.01);var s=Math.max(Math.abs(o[0]),Math.abs(o[1])),l=Math.floor(Math.log(s)/Math.LN10+.01),u=e.minexponent===void 0?3:e.minexponent;Math.abs(l)>u&&(O3(e.exponentformat)&&e.exponentformat!==\"SI extended\"&&!pB(l)||O3(e.exponentformat)&&e.exponentformat===\"SI extended\"&&!gB(l)?e._tickexponent=3*Math.round((l-1)/3):e._tickexponent=l)}else e._tickround=null}Qn.tickIncrement=function(e,t,r,n){var i=r?-1:1;if(Ih(t))return Jo.increment(e,i*t);var a=t.charAt(0),o=i*Number(t.slice(1));if(a===\"M\")return Jo.incrementMonth(e,o,n);if(a===\"L\")return Math.log(Math.pow(10,e)+o)/Math.LN10;if(a===\"D\"){var s=t===\"D2\"?Sse:Ase,l=e+i*.01,u=Jo.roundUp(Jo.mod(l,1),s,r);return Math.floor(l)+Math.log(b0.round(Math.pow(10,u),1))/Math.LN10}throw\"unrecognized dtick \"+String(t)};Qn.tickFirst=function(e,t){var r=e.r2l||Number,n=Jo.simpleMap(e.range,r,void 0,void 0,t),i=n[1]<n[0],a=i?Math.floor:Math.ceil,o=vB(n)[0],s=e.dtick,l=r(e.tick0);if(Ih(s)){var u=a((o-l)/s)*s+l;return(e.type===\"category\"||e.type===\"multicategory\")&&(u=Jo.constrain(u,0,e._categories.length-1)),u}var c=s.charAt(0),f=Number(s.slice(1));if(c===\"M\"){for(var h=0,d=l,v,_,b;h<10;){if(v=Qn.tickIncrement(d,s,i,e.calendar),(v-o)*(d-o)<=0)return i?Math.min(d,v):Math.max(d,v);_=(o-(d+v)/2)/(v-d),b=c+(Math.abs(Math.round(_))||1)*f,d=Qn.tickIncrement(d,b,_<0?!i:i,e.calendar),h++}return Jo.error(\"tickFirst did not converge\",e),d}else{if(c===\"L\")return Math.log(a((Math.pow(10,o)-l)/f)*f+l)/Math.LN10;if(c===\"D\"){var p=s===\"D2\"?Sse:Ase,k=Jo.roundUp(Jo.mod(o,1),p,i);return Math.floor(o)+Math.log(b0.round(Math.pow(10,k),1))/Math.LN10}else throw\"unrecognized dtick \"+String(s)}};Qn.tickText=function(e,t,r,n){var i=Ese(e,t),a=e.tickmode===\"array\",o=r||a,s=e.type,l=s===\"category\"?e.d2l_noadd:e.d2l,u,c=function(b){var p=e.l2p(b);return p>=0&&p<=e._length?b:null};if(a&&Jo.isArrayOrTypedArray(e.ticktext)){var f=Jo.simpleMap(e.range,e.r2l),h=(Math.abs(f[1]-f[0])-(e._lBreaks||0))/1e4;for(u=0;u<e.ticktext.length&&!(Math.abs(t-l(e.tickvals[u]))<h);u++);if(u<e.ticktext.length)return i.text=String(e.ticktext[u]),i.xbnd=[c(i.x-.5),c(i.x+e.dtick-.5)],i}function d(b){if(b===void 0)return!0;if(r)return b===\"none\";var p={first:e._tmin,last:e._tmax}[b];return b!==\"all\"&&t!==p}var v=r?\"never\":e.exponentformat!==\"none\"&&d(e.showexponent)?\"hide\":\"\";if(s===\"date\"?Kst(e,i,r,o):s===\"log\"?Jst(e,i,r,o,v):s===\"category\"?$st(e,i):s===\"multicategory\"?Qst(e,i,r):yB(e)?tlt(e,i,r,o,v):elt(e,i,r,o,v),n||(e.tickprefix&&!d(e.showtickprefix)&&(i.text=e.tickprefix+i.text),e.ticksuffix&&!d(e.showticksuffix)&&(i.text+=e.ticksuffix)),e.labelalias&&e.labelalias.hasOwnProperty(i.text)){var _=e.labelalias[i.text];typeof _==\"string\"&&(i.text=_)}return(e.tickson===\"boundaries\"||e.showdividers)&&(i.xbnd=[c(i.x-.5),c(i.x+e.dtick-.5)]),i};Qn.hoverLabelText=function(e,t,r){r&&(e=Jo.extendFlat({},e,{hoverformat:r}));var n=Jo.isArrayOrTypedArray(t)?t[0]:t,i=Jo.isArrayOrTypedArray(t)?t[1]:void 0;if(i!==void 0&&i!==n)return Qn.hoverLabelText(e,n,r)+\" - \"+Qn.hoverLabelText(e,i,r);var a=e.type===\"log\"&&n<=0,o=Qn.tickText(e,e.c2l(a?-n:n),\"hover\").text;return a?n===0?\"0\":Cb+o:o};function Ese(e,t,r){var n=e.tickfont||{};return{x:t,dx:0,dy:0,text:r||\"\",fontSize:n.size,font:n.family,fontWeight:n.weight,fontStyle:n.style,fontVariant:n.variant,fontTextcase:n.textcase,fontLineposition:n.lineposition,fontShadow:n.shadow,fontColor:n.color}}function Kst(e,t,r,n){var i=e._tickround,a=r&&e.hoverformat||Qn.getTickFormat(e);n=!a&&n,n&&(Ih(i)?i=4:i={y:\"m\",m:\"d\",d:\"M\",M:\"S\",S:4}[i]);var o=Jo.formatDate(t.x,a,i,e._dateFormat,e.calendar,e._extraFormat),s,l=o.indexOf(`\n",
       "`);if(l!==-1&&(s=o.slice(l+1),o=o.slice(0,l)),n&&(s!==void 0&&(o===\"00:00:00\"||o===\"00:00\")?(o=s,s=\"\"):o.length===8&&(o=o.replace(/:00$/,\"\"))),s)if(r)i===\"d\"?o+=\", \"+s:o=s+(o?\", \"+o:\"\");else if(!e._inCalcTicks||e._prevDateHead!==s)e._prevDateHead=s,o+=\"<br>\"+s;else{var u=cM(e),c=e._trueSide||e.side;(!u&&c===\"top\"||u&&c===\"bottom\")&&(o+=\"<br> \")}t.text=o}function Jst(e,t,r,n,i){var a=e.dtick,o=t.x,s=e.tickformat,l=typeof a==\"string\"&&a.charAt(0);if(i===\"never\"&&(i=\"\"),n&&l!==\"L\"&&(a=\"L3\",l=\"L\"),s||l===\"L\")t.text=uM(Math.pow(10,o),e,i,n);else if(Ih(a)||l===\"D\"&&(e.minorloglabels===\"complete\"||Jo.mod(o+.01,1)<.1)){var u;e.minorloglabels===\"complete\"&&!(Jo.mod(o+.01,1)<.1)&&(u=!0,t.fontSize*=.75);var c=Math.pow(10,o).toExponential(0),f=c.split(\"e\"),h=+f[1],d=Math.abs(h),v=e.exponentformat;v===\"power\"||O3(v)&&v!==\"SI extended\"&&pB(h)||O3(v)&&v===\"SI extended\"&&gB(h)?(t.text=f[0],d>0&&(t.text+=\"x10\"),t.text===\"1x10\"&&(t.text=\"10\"),h!==0&&h!==1&&(t.text+=\"<sup>\"+(h>0?\"\":Cb)+d+\"</sup>\"),t.fontSize*=1.25):(v===\"e\"||v===\"E\")&&d>2?t.text=f[0]+v+(h>0?\"+\":Cb)+d:(t.text=uM(Math.pow(10,o),e,\"\",\"fakehover\"),a===\"D1\"&&e._id.charAt(0)===\"y\"&&(t.dy-=t.fontSize/6))}else if(l===\"D\")t.text=e.minorloglabels===\"none\"?\"\":String(Math.round(Math.pow(10,Jo.mod(o,1)))),t.fontSize*=.75;else throw\"unrecognized dtick \"+String(a);if(e.dtick===\"D1\"){var _=String(t.text).charAt(0);(_===\"0\"||_===\"1\")&&(e._id.charAt(0)===\"y\"?t.dx-=t.fontSize/4:(t.dy+=t.fontSize/2,t.dx+=(e.range[1]>e.range[0]?1:-1)*t.fontSize*(o<0?.5:.25)))}}function $st(e,t){var r=e._categories[Math.round(t.x)];r===void 0&&(r=\"\"),t.text=String(r)}function Qst(e,t,r){var n=Math.round(t.x),i=e._categories[n]||[],a=i[1]===void 0?\"\":String(i[1]),o=i[0]===void 0?\"\":String(i[0]);r?t.text=o+\" - \"+a:(t.text=a,t.text2=o)}function elt(e,t,r,n,i){i===\"never\"?i=\"\":e.showexponent===\"all\"&&Math.abs(t.x/e.dtick)<1e-6&&(i=\"hide\"),t.text=uM(t.x,e,i,n)}function tlt(e,t,r,n,i){if(e.thetaunit===\"radians\"&&!r){var a=t.x/180;if(a===0)t.text=\"0\";else{var o=rlt(a);if(o[1]>=100)t.text=uM(Jo.deg2rad(t.x),e,i,n);else{var s=t.x<0;o[1]===1?o[0]===1?t.text=\"\\u03C0\":t.text=o[0]+\"\\u03C0\":t.text=[\"<sup>\",o[0],\"</sup>\",\"\\u2044\",\"<sub>\",o[1],\"</sub>\",\"\\u03C0\"].join(\"\"),s&&(t.text=Cb+t.text)}}}else t.text=uM(t.x,e,i,n)}function rlt(e){function t(s,l){return Math.abs(s-l)<=1e-6}function r(s,l){return t(l,0)?s:r(l,s%l)}function n(s){for(var l=1;!t(Math.round(s*l)/l,s);)l*=10;return l}var i=n(e),a=e*i,o=Math.abs(r(a,i));return[Math.round(a/o),Math.round(i/o)]}var kse=[\"f\",\"p\",\"n\",\"\\u03BC\",\"m\",\"\",\"k\",\"M\",\"G\",\"T\"],ilt=[\"q\",\"r\",\"y\",\"z\",\"a\",...kse,\"P\",\"E\",\"Z\",\"Y\",\"R\",\"Q\"],O3=e=>[\"SI\",\"SI extended\",\"B\"].includes(e);function pB(e){return e>14||e<-15}function gB(e){return e>32||e<-30}function nlt(e,t){return O3(t)?!!(t===\"SI extended\"&&gB(e)||t!==\"SI extended\"&&pB(e)):!1}function uM(e,t,r,n){var i=e<0,a=t._tickround,o=r||t.exponentformat||\"B\",s=t._tickexponent,l=Qn.getTickFormat(t),u=t.separatethousands;if(n){var c={exponentformat:o,minexponent:t.minexponent,dtick:t.showexponent===\"none\"?t.dtick:Ih(e)&&Math.abs(e)||1,range:t.showexponent===\"none\"?t.range.map(t.r2d):[0,e||1]};Mse(c),a=(Number(c._tickround)||0)+4,s=c._tickexponent,t.hoverformat&&(l=t.hoverformat)}if(l)return t._numFormat(l)(e).replace(/-/g,Cb);var f=Math.pow(10,-a)/2;if(o===\"none\"&&(s=0),e=Math.abs(e),e<f)e=\"0\",i=!1;else{if(e+=f,s&&(e*=Math.pow(10,-s),a+=s),a===0)e=String(Math.floor(e));else if(a<0){e=String(Math.round(e)),e=e.slice(0,Math.max(0,e.length+a));for(var h=a;h<0;h++)e+=\"0\"}else{e=String(e);var d=e.indexOf(\".\")+1;d&&(e=e.slice(0,d+a).replace(/\\.?0+$/,\"\"))}e=Jo.numSeparate(e,t._separators,u)}if(s&&o!==\"hide\"){nlt(s,o)&&(o=\"power\");var v;s<0?v=Cb+-s:o!==\"power\"?v=\"+\"+s:v=String(s),o===\"e\"||o===\"E\"?e+=o+v:o===\"power\"?e+=\"\\xD710<sup>\"+v+\"</sup>\":o===\"B\"&&s===9?e+=\"B\":O3(o)&&(e+=o===\"SI extended\"?ilt[s/3+10]:kse[s/3+5])}return i?Cb+e:e}Qn.getTickFormat=function(e){var t;function r(l){return typeof l!=\"string\"?l:Number(l.replace(\"M\",\"\"))*z3}function n(l,u){var c=[\"L\",\"D\"];if(typeof l==typeof u){if(typeof l==\"number\")return l-u;var f=c.indexOf(l.charAt(0)),h=c.indexOf(u.charAt(0));return f===h?Number(l.replace(/(L|D)/g,\"\"))-Number(u.replace(/(L|D)/g,\"\")):f-h}else return typeof l==\"number\"?1:-1}function i(l,u,c){var f=c||function(v){return v},h=u[0],d=u[1];return(!h&&typeof h!=\"number\"||f(h)<=f(l))&&(!d&&typeof d!=\"number\"||f(d)>=f(l))}function a(l,u){var c=u[0]===null,f=u[1]===null,h=n(l,u[0])>=0,d=n(l,u[1])<=0;return(c||h)&&(f||d)}var o,s;if(e.tickformatstops&&e.tickformatstops.length>0)switch(e.type){case\"date\":case\"linear\":{for(t=0;t<e.tickformatstops.length;t++)if(s=e.tickformatstops[t],s.enabled&&i(e.dtick,s.dtickrange,r)){o=s;break}break}case\"log\":{for(t=0;t<e.tickformatstops.length;t++)if(s=e.tickformatstops[t],s.enabled&&a(e.dtick,s.dtickrange)){o=s;break}break}default:}return o?o.value:e.tickformat};Qn.getSubplots=function(e,t){var r=e._fullLayout._subplots,n=r.cartesian.concat(r.gl2d||[]),i=t?Qn.findSubplotsWithAxis(n,t):n;return i.sort(function(a,o){var s=a.slice(1).split(\"y\"),l=o.slice(1).split(\"y\");return s[0]===l[0]?+s[1]-+l[1]:+s[0]-+l[0]}),i};Qn.findSubplotsWithAxis=function(e,t){for(var r=new RegExp(t._id.charAt(0)===\"x\"?\"^\"+t._id+\"y\":t._id+\"$\"),n=[],i=0;i<e.length;i++){var a=e[i];r.test(a)&&n.push(a)}return n};Qn.makeClipPaths=function(e){var t=e._fullLayout;if(!t._hasOnlyLargeSploms){var 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T=s[o]._subplot;C[P]=T.xaxis,M[P]=T.yaxis}else{zf.warn(\"Unrecognized subplot: \"+o);return}if(h&&!g&&(h=\"closest\"),[\"x\",\"y\",\"closest\",\"x unified\",\"y unified\"].indexOf(h)===-1||!e.calcdata||e.querySelector(\".zoombox\")||e._dragging)return jL.unhoverRaw(e,t);var z=s.hoverdistance;z===-1&&(z=1/0);var O=s.spikedistance;O===-1&&(O=1/0);var V=[],G=[],Z,j,N,H,te,oe,_e,Ee,Ce,me,ie,Se,Le,Ae={hLinePoint:null,vLinePoint:null},Fe=!1;if(Array.isArray(t))for(h=\"array\",N=0;N<t.length;N++)te=e.calcdata[t[N].curveNumber||0],te&&(oe=te[0].trace,te[0].trace.hoverinfo!==\"skip\"&&(G.push(te),oe.orientation===\"h\"&&(Fe=!0)));else{var Pe=e.calcdata.slice();for(Pe.sort(function(wi,On){var qn=wi[0].trace.zorder||0,Fn=On[0].trace.zorder||0;return qn-Fn}),H=0;H<Pe.length;H++)te=Pe[H],oe=te[0].trace,oe.hoverinfo!==\"skip\"&&Mg.isTraceInSubplots(oe,a)&&(G.push(te),oe.orientation===\"h\"&&(Fe=!0));var ge=!i,Re,ce;if(ge)\"xpx\"in t?Re=t.xpx:Re=C[0]._length/2,\"ypx\"in t?ce=t.ypx:ce=M[0]._length/2;else{if(aut.triggerHandler(e,\"plotly_beforehover\",t)===!1)return;var Ze=i.getBoundingClientRect();Re=t.clientX-Ze.left,ce=t.clientY-Ze.top,s._calcInverseTransform(e);var ut=zf.apply3DTransform(s._invTransform)(Re,ce);if(Re=ut[0],ce=ut[1],Re<0||Re>C[0]._length||ce<0||ce>M[0]._length)return jL.unhoverRaw(e,t)}if(t.pointerX=Re+C[0]._offset,t.pointerY=ce+M[0]._offset,\"xval\"in t?Z=Mg.flat(a,t.xval):Z=Mg.p2c(C,Re),\"yval\"in t?j=Mg.flat(a,t.yval):j=Mg.p2c(M,ce),!My(Z[0])||!My(j[0]))return zf.warn(\"Fx.hover failed\",t,e),jL.unhoverRaw(e,t)}var pt=1/0;function Zt(wi,On){for(H=0;H<G.length;H++)if(te=G[H],!(!te||!te[0]||!te[0].trace)&&(oe=te[0].trace,!(oe.visible!==!0||oe._length===0)&&[\"carpet\",\"contourcarpet\"].indexOf(oe._module.name)===-1)){if(Ce=h,Mg.isUnifiedHover(Ce)&&(Ce=Ce.charAt(0)),oe.type===\"splom\"?(Ee=0,_e=a[Ee]):(_e=Mg.getSubplot(oe),Ee=a.indexOf(_e)),Se={cd:te,trace:oe,xa:C[Ee],ya:M[Ee],maxHoverDistance:z,maxSpikeDistance:O,index:!1,distance:Math.min(pt,z),spikeDistance:1/0,xSpike:void 0,ySpike:void 0,color:vd.defaultLine,name:oe.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},s[_e]&&(Se.subplot=s[_e]._subplot),s._splomScenes&&s._splomScenes[oe.uid]&&(Se.scene=s._splomScenes[oe.uid]),Ce===\"array\"){var qn=t[H];\"pointNumber\"in qn?(Se.index=qn.pointNumber,Ce=\"closest\"):(Ce=\"\",\"xval\"in qn&&(me=qn.xval,Ce=\"x\"),\"yval\"in qn&&(ie=qn.yval,Ce=Ce?\"closest\":\"y\"))}else wi!==void 0&&On!==void 0?(me=wi,ie=On):(me=Z[Ee],ie=j[Ee]);if(Le=V.length,z!==0)if(oe._module&&oe._module.hoverPoints){var Fn=oe._module.hoverPoints(Se,me,ie,Ce,{finiteRange:!0,hoverLayer:s._hoverlayer,hoversubplots:l,gd:e});if(Fn)for(var ra,la=0;la<Fn.length;la++)ra=Fn[la],My(ra.x0)&&My(ra.y0)&&V.push(yut(ra,h))}else zf.log(\"Unrecognized trace type in hover:\",oe);if(h===\"closest\"&&V.length>Le&&(V.splice(0,Le),pt=V[0].distance),f&&O!==0&&V.length===0){Se.distance=O,Se.index=!1;var Ut=oe._module.hoverPoints(Se,me,ie,\"closest\",{hoverLayer:s._hoverlayer});if(Ut&&(Ut=Ut.filter(function(ri){return ri.spikeDistance<=O})),Ut&&Ut.length){var wt,rr=Ut.filter(function(ri){return ri.xa.showspikes&&ri.xa.spikesnap!==\"hovered data\"});if(rr.length){var nr=rr[0];My(nr.x0)&&My(nr.y0)&&(wt=lt(nr),(!Ae.vLinePoint||Ae.vLinePoint.spikeDistance>wt.spikeDistance)&&(Ae.vLinePoint=wt))}var Er=Ut.filter(function(ri){return ri.ya.showspikes&&ri.ya.spikesnap!==\"hovered data\"});if(Er.length){var Xr=Er[0];My(Xr.x0)&&My(Xr.y0)&&(wt=lt(Xr),(!Ae.hLinePoint||Ae.hLinePoint.spikeDistance>wt.spikeDistance)&&(Ae.hLinePoint=wt))}}}}}Zt();function st(wi,On,qn){for(var Fn=null,ra=1/0,la,Ut=0;Ut<wi.length;Ut++)_&&_._id!==wi[Ut].xa._id||b&&b._id!==wi[Ut].ya._id||(la=wi[Ut].spikeDistance,qn&&Ut===0&&(la=-1/0),la<=ra&&la<=On&&(Fn=wi[Ut],ra=la));return Fn}function lt(wi){return wi?{xa:wi.xa,ya:wi.ya,x:wi.xSpike!==void 0?wi.xSpike:(wi.x0+wi.x1)/2,y:wi.ySpike!==void 0?wi.ySpike:(wi.y0+wi.y1)/2,distance:wi.distance,spikeDistance:wi.spikeDistance,curveNumber:wi.trace.index,color:wi.color,pointNumber:wi.index}:null}var Gt={fullLayout:s,container:s._hoverlayer,event:t},Nt=e._spikepoints,Jt={vLinePoint:Ae.vLinePoint,hLinePoint:Ae.hLinePoint};e._spikepoints=Jt;var sr=function(){var wi=V.filter(function(qn){return _&&_._id===qn.xa._id&&b&&b._id===qn.ya._id}),On=V.filter(function(qn){return!(_&&_._id===qn.xa._id&&b&&b._id===qn.ya._id)});wi.sort(Ple),On.sort(Ple),V=wi.concat(On),V=xut(V,h)};sr();var wr=h.charAt(0),cr=(wr===\"x\"||wr===\"y\")&&V[0]&&dut[V[0].trace.type];if(f&&O!==0&&V.length!==0){var $e=V.filter(function(wi){return wi.ya.showspikes}),St=st($e,O,cr);Ae.hLinePoint=lt(St);var Qt=V.filter(function(wi){return wi.xa.showspikes}),Vt=st(Qt,O,cr);Ae.vLinePoint=lt(Vt)}if(V.length===0){var _t=jL.unhoverRaw(e,t);return f&&(Ae.hLinePoint!==null||Ae.vLinePoint!==null)&&Dle(Nt)&&Rle(e,Ae,Gt),_t}if(f&&Dle(Nt)&&Rle(e,Ae,Gt),Mg.isXYhover(Ce)&&V[0].length!==0&&V[0].trace.type!==\"splom\"){var It=V[0];Lle[It.trace.type]?V=V.filter(wi=>wi.trace.index===It.trace.index):V=[It];var mt=V.length,er=zle(\"x\",It,s),lr=zle(\"y\",It,s);Zt(er,lr);var Tr=[],Lr={},ti=0,Br=function(wi){var On=Lle[wi.trace.type]?qle(wi):wi.trace.index;if(!Lr[On])ti++,Lr[On]=ti,Tr.push(wi);else{var qn=Lr[On]-1,Fn=Tr[qn];qn>0&&Math.abs(wi.distance)<Math.abs(Fn.distance)&&(Tr[qn]=wi)}},Vr;for(Vr=0;Vr<mt;Vr++)Br(V[Vr]);for(Vr=V.length-1;Vr>mt-1;Vr--)Br(V[Vr]);V=Tr,sr()}var dt=e._hoverdata,Ge=[],Je=Vle(e),je=Gle(e);for(let wi of V){var tt=Mg.makeEventData(wi,wi.trace,wi.cd);if(wi.hovertemplate!==!1){var xt=!1;wi.cd[wi.index]&&wi.cd[wi.index].ht&&(xt=wi.cd[wi.index].ht),wi.hovertemplate=xt||wi.trace.hovertemplate||!1}if(wi.xa&&wi.ya){var Ie=wi.x0+wi.xa._offset,xe=wi.x1+wi.xa._offset,ke=wi.y0+wi.ya._offset,vt=wi.y1+wi.ya._offset,ir=Math.min(Ie,xe),ar=Math.max(Ie,xe),vr=Math.min(ke,vt),ii=Math.max(ke,vt);tt.bbox={x0:ir+je,x1:ar+je,y0:vr+Je,y1:ii+Je}}wi.eventData=[tt],Ge.push(tt)}e._hoverdata=Ge;var pi=h===\"y\"&&(G.length>1||V.length>1)||h===\"closest\"&&Fe&&V.length>1,$r=vd.combine(s.plot_bgcolor||vd.background,s.paper_bgcolor),di=Ble(V,{gd:e,hovermode:h,rotateLabels:pi,bgColor:$r,container:s._hoverlayer,outerContainer:s._paper.node(),commonLabelOpts:s.hoverlabel,hoverdistance:s.hoverdistance}),ji=di.hoverLabels;if(Mg.isUnifiedHover(h)||(gut(ji,pi,s,di.commonLabelBoundingBox),Ule(ji,pi,s._invScaleX,s._invScaleY)),i&&i.tagName){var In=j3.getComponentMethod(\"annotations\",\"hasClickToShow\")(e,Ge);out(Fb.select(i),In?\"pointer\":\"\")}!i||n||!_ut(e,t,dt)||(dt&&e.emit(\"plotly_unhover\",{event:t,points:dt}),e.emit(\"plotly_hover\",{event:t,points:e._hoverdata,xaxes:C,yaxes:M,xvals:Z,yvals:j}))}function qle(e){return[e.trace.index,e.index,e.x0,e.y0,e.name,e.attr,e.xa?e.xa._id:\"\",e.ya?e.ya._id:\"\"].join(\",\")}var put=/<extra>([\\s\\S]*)<\\/extra>/;function Ble(e,t){var r=t.gd,n=r._fullLayout,i=t.hovermode,a=t.rotateLabels,o=t.bgColor,s=t.container,l=t.outerContainer,u=t.commonLabelOpts||{};if(e.length===0)return[[]];var c=t.fontFamily||zb.HOVERFONT,f=t.fontSize||zb.HOVERFONTSIZE,h=t.fontWeight||n.font.weight,d=t.fontStyle||n.font.style,v=t.fontVariant||n.font.variant,_=t.fontTextcase||n.font.textcase,b=t.fontLineposition||n.font.lineposition,p=t.fontShadow||n.font.shadow,k=e[0],E=k.xa,S=k.ya,L=i.charAt(0),x=L+\"Label\",C=k[x];if(C===void 0&&E.type===\"multicategory\")for(var M=0;M<e.length&&(C=e[M][x],C===void 0);M++);var g=H3(r,l),P=g.top,T=g.width,z=g.height,O=C!==void 0&&k.distance<=t.hoverdistance&&(i===\"x\"||i===\"y\");if(O){var V=!0,G,Z;for(G=0;G<e.length;G++)if(V&&e[G].zLabel===void 0&&(V=!1),Z=e[G].hoverinfo||e[G].trace.hoverinfo,Z){var j=Array.isArray(Z)?Z:Z.split(\"+\");if(j.indexOf(\"all\")===-1&&j.indexOf(i)===-1){O=!1;break}}V&&(O=!1)}var N=s.selectAll(\"g.axistext\").data(O?[0]:[]);N.enter().append(\"g\").classed(\"axistext\",!0),N.exit().remove();var H={minX:0,maxX:0,minY:0,maxY:0};if(N.each(function(){var _t=Fb.select(this),It=zf.ensureSingle(_t,\"path\",\"\",function(ii){ii.style({\"stroke-width\":\"1px\"})}),mt=zf.ensureSingle(_t,\"text\",\"\",function(ii){ii.attr(\"data-notex\",1)}),er=u.bgcolor||vd.defaultLine,lr=u.bordercolor||vd.contrast(er),Tr=vd.contrast(er),Lr=u.font,ti={weight:Lr.weight||h,style:Lr.style||d,variant:Lr.variant||v,textcase:Lr.textcase||_,lineposition:Lr.lineposition||b,shadow:Lr.shadow||p,family:Lr.family||c,size:Lr.size||f,color:Lr.color||Tr};It.style({fill:er,stroke:lr}),mt.text(C).call(bm.font,ti).call(T0.positionText,0,0).call(T0.convertToTspans,r),_t.attr(\"transform\",\"\");var Br=H3(r,mt.node()),Vr,dt;if(i===\"x\"){var Ge=E.side===\"top\"?\"-\":\"\";mt.attr(\"text-anchor\",\"middle\").call(T0.positionText,0,E.side===\"top\"?P-Br.bottom-Qc-sl:P-Br.top+Qc+sl),Vr=E._offset+(k.x0+k.x1)/2,dt=S._offset+(E.side===\"top\"?0:S._length);var Je=Br.width/2+sl,je=Vr;Vr<Je?je=Je:Vr>n.width-Je&&(je=n.width-Je),It.attr(\"d\",\"M\"+(Vr-je)+\",0L\"+(Vr-je+Qc)+\",\"+Ge+Qc+\"H\"+Je+\"v\"+Ge+(sl*2+Br.height)+\"H\"+-Je+\"V\"+Ge+Qc+\"H\"+(Vr-je-Qc)+\"Z\"),Vr=je,H.minX=Vr-Je,H.maxX=Vr+Je,E.side===\"top\"?(H.minY=dt-(sl*2+Br.height),H.maxY=dt-sl):(H.minY=dt+sl,H.maxY=dt+(sl*2+Br.height))}else{var tt,xt,Ie;S.side===\"right\"?(tt=\"start\",xt=1,Ie=\"\",Vr=E._offset+E._length):(tt=\"end\",xt=-1,Ie=\"-\",Vr=E._offset),dt=S._offset+(k.y0+k.y1)/2,mt.attr(\"text-anchor\",tt),It.attr(\"d\",\"M0,0L\"+Ie+Qc+\",\"+Qc+\"V\"+(sl+Br.height/2)+\"h\"+Ie+(sl*2+Br.width)+\"V-\"+(sl+Br.height/2)+\"H\"+Ie+Qc+\"V-\"+Qc+\"Z\"),H.minY=dt-(sl+Br.height/2),H.maxY=dt+(sl+Br.height/2),S.side===\"right\"?(H.minX=Vr+Qc,H.maxX=Vr+Qc+(sl*2+Br.width)):(H.minX=Vr-Qc-(sl*2+Br.width),H.maxX=Vr-Qc);var xe=Br.height/2,ke=P-Br.top-xe,vt=\"clip\"+n._uid+\"commonlabel\"+S._id,ir;if(Vr<Br.width+2*sl+Qc){ir=\"M-\"+(Qc+sl)+\"-\"+xe+\"h-\"+(Br.width-sl)+\"V\"+xe+\"h\"+(Br.width-sl)+\"Z\";var ar=Br.width-Vr+sl;T0.positionText(mt,ar,ke),tt===\"end\"&&mt.selectAll(\"tspan\").each(function(){var ii=Fb.select(this),pi=bm.tester.append(\"text\").text(ii.text()).call(bm.font,ti),$r=H3(r,pi.node());Math.round($r.width)<Math.round(Br.width)&&ii.attr(\"x\",ar-$r.width),pi.remove()})}else T0.positionText(mt,xt*(sl+Qc),ke),ir=null;var vr=n._topclips.selectAll(\"#\"+vt).data(ir?[0]:[]);vr.enter().append(\"clipPath\").attr(\"id\",vt).append(\"path\"),vr.exit().remove(),vr.select(\"path\").attr(\"d\",ir),bm.setClipUrl(mt,ir?vt:null,r)}_t.attr(\"transform\",NB(Vr,dt))}),Mg.isUnifiedHover(i)){s.selectAll(\"g.hovertext\").remove();let _t=e.filter(It=>It.hoverinfo!==\"none\");if(_t.length===0)return[];var te=n.hoverlabel,oe=te.font,_e=_t[0],Ee=((i===\"x unified\"?_e.xa:_e.ya).unifiedhovertitle||{}).text,Ce=Ee?zf.hovertemplateString({data:i===\"x unified\"?[{xa:_e.xa,x:_e.xVal}]:[{ya:_e.ya,y:_e.yVal}],fallback:_e.trace.hovertemplatefallback,locale:n._d3locale,template:Ee}):C,me={showlegend:!0,legend:{title:{text:Ce,font:oe},font:oe,bgcolor:te.bgcolor,bordercolor:te.bordercolor,borderwidth:1,tracegroupgap:7,traceorder:n.legend?n.legend.traceorder:void 0,orientation:\"v\"}},ie={font:oe};lut(me,ie,r._fullData);var Se=ie.legend;Se.entries=[];for(var Le=0;Le<_t.length;Le++){var Ae=_t[Le];if(Ae.hoverinfo!==\"none\"){var Fe=Ile(Ae,!0,i,n,C),Pe=Fe[0],ge=Fe[1];Ae.name=ge,ge!==\"\"?Ae.text=ge+\" : \"+Pe:Ae.text=Pe;var Re=Ae.cd[Ae.index];Re&&(Re.mc&&(Ae.mc=Re.mc),Re.mcc&&(Ae.mc=Re.mcc),Re.mlc&&(Ae.mlc=Re.mlc),Re.mlcc&&(Ae.mlc=Re.mlcc),Re.mlw&&(Ae.mlw=Re.mlw),Re.mrc&&(Ae.mrc=Re.mrc),Re.dir&&(Ae.dir=Re.dir)),Ae._distinct=!0,Se.entries.push([Ae])}}Se.entries.sort(function(It,mt){return It[0].trace.index-mt[0].trace.index}),Se.layer=s,Se._inHover=!0,Se._groupTitleFont=te.grouptitlefont,uut(r,Se);var ce=s.select(\"g.legend\"),Ze=H3(r,ce.node()),ut=Ze.width+2*sl,pt=Ze.height+2*sl,Zt=_t[0],st=(Zt.x0+Zt.x1)/2,lt=(Zt.y0+Zt.y1)/2,Gt=!(j3.traceIs(Zt.trace,\"bar-like\")||j3.traceIs(Zt.trace,\"box-violin\")),Nt,Jt;L===\"y\"?Gt?(Jt=lt-sl,Nt=lt+sl):(Jt=Math.min.apply(null,_t.map(function(It){return Math.min(It.y0,It.y1)})),Nt=Math.max.apply(null,_t.map(function(It){return Math.max(It.y0,It.y1)}))):Jt=Nt=zf.mean(_t.map(function(It){return(It.y0+It.y1)/2}))-pt/2;var sr,wr;L===\"x\"?Gt?(sr=st+sl,wr=st-sl):(sr=Math.max.apply(null,_t.map(function(It){return Math.max(It.x0,It.x1)})),wr=Math.min.apply(null,_t.map(function(It){return Math.min(It.x0,It.x1)}))):sr=wr=zf.mean(_t.map(function(It){return(It.x0+It.x1)/2}))-ut/2;var cr=E._offset,$e=S._offset;Nt+=$e,sr+=cr,wr+=cr-ut,Jt+=$e-pt;var St,Qt;return sr+ut<T&&sr>=0?St=sr:wr+ut<T&&wr>=0?St=wr:cr+ut<T?St=cr:sr-st<st-wr+ut?St=T-ut:St=0,St+=sl,Nt+pt<z&&Nt>=0?Qt=Nt:Jt+pt<z&&Jt>=0?Qt=Jt:$e+pt<z?Qt=$e:Nt-lt<lt-Jt+pt?Qt=z-pt:Qt=0,Qt+=sl,ce.attr(\"transform\",NB(St-1,Qt-1)),ce}var Vt=s.selectAll(\"g.hovertext\").data(e,function(_t){return qle(_t)});return Vt.enter().append(\"g\").classed(\"hovertext\",!0).each(function(){var _t=Fb.select(this);_t.append(\"rect\").call(vd.fill,vd.addOpacity(o,.8)),_t.append(\"text\").classed(\"name\",!0),_t.append(\"path\").style(\"stroke-width\",\"1px\"),_t.append(\"text\").classed(\"nums\",!0).call(bm.font,{weight:h,style:d,variant:v,textcase:_,lineposition:b,shadow:p,family:c,size:f})}),Vt.exit().remove(),Vt.each(function(_t){var It=Fb.select(this).attr(\"transform\",\"\"),mt=_t.color;Array.isArray(mt)&&(mt=mt[_t.eventData[0].pointNumber]);var er=_t.bgcolor||mt,lr=vd.combine(vd.opacity(er)?er:vd.defaultLine,o),Tr=vd.combine(vd.opacity(mt)?mt:vd.defaultLine,o),Lr=_t.borderColor||vd.contrast(lr),ti=Ile(_t,O,i,n,C,It),Br=ti[0],Vr=ti[1],dt=It.select(\"text.nums\").call(bm.font,{family:_t.fontFamily||c,size:_t.fontSize||f,color:_t.fontColor||Lr,weight:_t.fontWeight||h,style:_t.fontStyle||d,variant:_t.fontVariant||v,textcase:_t.fontTextcase||_,lineposition:_t.fontLineposition||b,shadow:_t.fontShadow||p}).text(Br).attr(\"data-notex\",1).call(T0.positionText,0,0).call(T0.convertToTspans,r),Ge=It.select(\"text.name\"),Je=0,je=0;if(Vr&&Vr!==Br){Ge.call(bm.font,{family:_t.fontFamily||c,size:_t.fontSize||f,color:Tr,weight:_t.fontWeight||h,style:_t.fontStyle||d,variant:_t.fontVariant||v,textcase:_t.fontTextcase||_,lineposition:_t.fontLineposition||b,shadow:_t.fontShadow||p}).text(Vr).attr(\"data-notex\",1).call(T0.positionText,0,0).call(T0.convertToTspans,r);var tt=H3(r,Ge.node());Je=tt.width+2*sl,je=tt.height+2*sl}else Ge.remove(),It.select(\"rect\").remove();It.select(\"path\").style({fill:lr,stroke:Lr});var xt=_t.xa._offset+(_t.x0+_t.x1)/2,Ie=_t.ya._offset+(_t.y0+_t.y1)/2,xe=Math.abs(_t.x1-_t.x0),ke=Math.abs(_t.y1-_t.y0),vt=H3(r,dt.node()),ir=vt.width/n._invScaleX,ar=vt.height/n._invScaleY;_t.ty0=(P-vt.top)/n._invScaleY,_t.bx=ir+2*sl,_t.by=Math.max(ar+2*sl,je),_t.anchor=\"start\",_t.txwidth=ir,_t.tx2width=Je,_t.offset=0;var vr=(ir+Qc+sl+Je)*n._invScaleX,ii,pi;if(a)_t.pos=xt,ii=Ie+ke/2+vr<=z,pi=Ie-ke/2-vr>=0,(_t.idealAlign===\"top\"||!ii)&&pi?(Ie-=ke/2,_t.anchor=\"end\"):ii?(Ie+=ke/2,_t.anchor=\"start\"):_t.anchor=\"middle\",_t.crossPos=Ie;else{if(_t.pos=Ie,ii=xt+xe/2+vr<=T,pi=xt-xe/2-vr>=0,(_t.idealAlign===\"left\"||!ii)&&pi)xt-=xe/2,_t.anchor=\"end\";else if(ii)xt+=xe/2,_t.anchor=\"start\";else{_t.anchor=\"middle\";var 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O=Cle.readability(g.color,f)<1.5?vd.contrast(f):g.color,V=u.spikemode,G=u.spikethickness,Z=u.spikecolor||O,j=wm.getPxPosition(e,u),N,H;if(V.indexOf(\"toaxis\")!==-1||V.indexOf(\"across\")!==-1){if(V.indexOf(\"toaxis\")!==-1&&(N=j,H=T),V.indexOf(\"across\")!==-1){var te=u._counterDomainMin,oe=u._counterDomainMax;u.anchor===\"free\"&&(te=Math.min(te,u.position),oe=Math.max(oe,u.position)),N=a.t+(1-oe)*a.h,H=a.t+(1-te)*a.h}n.insert(\"line\",\":first-child\").attr({x1:P,x2:P,y1:N,y2:H,\"stroke-width\":G,stroke:Z,\"stroke-dasharray\":bm.dashStyle(u.spikedash,G)}).classed(\"spikeline\",!0).classed(\"crisp\",!0),n.insert(\"line\",\":first-child\").attr({x1:P,x2:P,y1:N,y2:H,\"stroke-width\":G+2,stroke:f}).classed(\"spikeline\",!0).classed(\"crisp\",!0)}V.indexOf(\"marker\")!==-1&&n.insert(\"circle\",\":first-child\").attr({cx:P,cy:j-(u.side!==\"top\"?G:-G),r:G,fill:Z}).classed(\"spikeline\",!0)}}}function _ut(e,t,r){if(!r||r.length!==e._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=e._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers)||i.binNumber!==a.binNumber)return!0}return!1}function Dle(e,t){return!t||t.vLinePoint!==e._spikepoints.vLinePoint||t.hLinePoint!==e._spikepoints.hLinePoint}function Fle(e,t){return T0.plainText(e||\"\",{len:t,allowedTags:[\"br\",\"sub\",\"sup\",\"b\",\"i\",\"em\",\"s\",\"u\"]})}function xut(e,t){for(var r=t.charAt(0),n=[],i=[],a=[],o=0;o<e.length;o++){var s=e[o];j3.traceIs(s.trace,\"bar-like\")||j3.traceIs(s.trace,\"box-violin\")?a.push(s):s.trace[r+\"period\"]?i.push(s):n.push(s)}return n.concat(i).concat(a)}function zle(e,t,r){var n=t[e+\"a\"],i=t[e+\"Val\"],a=t.cd[0];if(n.type===\"category\"||n.type===\"multicategory\")i=n._categoriesMap[i];else if(n.type===\"date\"){var o=t.trace[e+\"periodalignment\"];if(o){var s=t.cd[t.index],l=s[e+\"Start\"];l===void 0&&(l=s[e]);var u=s[e+\"End\"];u===void 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s=i.label.textposition,l=i.label.textangle,u=i.label.padding,c=i.type,f=Math.PI/180*a,h=Math.sin(f),d=Math.cos(f),v=i.label.xanchor,_=i.label.yanchor,b,p,k,E;if(c===\"line\"){s===\"start\"?(b=e,p=t):s===\"end\"?(b=r,p=n):(b=(e+r)/2,p=(t+n)/2),v===\"auto\"&&(s===\"start\"?l===\"auto\"?r>e?v=\"left\":r<e?v=\"right\":v=\"center\":r>e?v=\"right\":r<e?v=\"left\":v=\"center\":s===\"end\"?l===\"auto\"?r>e?v=\"right\":r<e?v=\"left\":v=\"center\":r>e?v=\"left\":r<e?v=\"right\":v=\"center\":v=\"center\");var S={left:1,center:0,right:-1},L={bottom:-1,middle:0,top:1};if(l===\"auto\"){var x=L[_];k=-u*h*x,E=u*d*x}else{var C=S[v],M=L[_];k=u*C,E=u*M}b=b+k,p=p+E}else k=u+3,s.indexOf(\"right\")!==-1?(b=Math.max(e,r)-k,v===\"auto\"&&(v=\"right\")):s.indexOf(\"left\")!==-1?(b=Math.min(e,r)+k,v===\"auto\"&&(v=\"left\")):(b=(e+r)/2,v===\"auto\"&&(v=\"center\")),s.indexOf(\"top\")!==-1?p=Math.min(t,n):s.indexOf(\"bottom\")!==-1?p=Math.max(t,n):p=(t+n)/2,E=u,_===\"bottom\"?p=p-E:_===\"top\"&&(p=p+E);var g=mct[_],P=i.label.font.size,T=o.height,z=(T*g-P)*h,O=-(T*g-P)*d;return{textx:b+z,texty:p+O,xanchor:v}}});var nP=ye((Far,Nue)=>{\"use strict\";var xct=Dr(),bct=xct.strTranslate,Rue=yv(),zue=Eg(),wct=zue.drawMode,Oue=zue.selectMode,que=qa(),Due=ka(),iP=YL(),Tct=iP.i000,Act=iP.i090,Sct=iP.i180,Mct=iP.i270,Ect=Q1(),Bue=Ect.clearOutlineControllers,$B=u_(),rP=$B.pointsOnRectangle,JB=$B.pointsOnEllipse,kct=$B.writePaths,Cct=eP().newShapes,Lct=eP().createShapeObj,Pct=ZB(),Ict=KB();Nue.exports=function e(t,r,n,i){i||(i=0);var a=n.gd;function o(){e(t,r,n,i++),(JB(t[0])||n.hasText)&&s({redrawing:!0})}function s(j){var N={};n.isActiveShape!==void 0&&(n.isActiveShape=!1,N=Cct(r,n)),n.isActiveSelection!==void 0&&(n.isActiveSelection=!1,N=Pct(r,n),a._fullLayout._reselect=!0),Object.keys(N).length&&que.call((j||{}).redrawing?\"relayout\":\"_guiRelayout\",a,N)}var l=a._fullLayout,u=l._zoomlayer,c=n.dragmode,f=wct(c),h=Oue(c);(f||h)&&(a._fullLayout._outlining=!0),Bue(a),r.attr(\"d\",kct(t));var d,v,_,b,p;if(!i&&(n.isActiveShape||n.isActiveSelection)){p=Rct([],t);var k=u.append(\"g\").attr(\"class\",\"outline-controllers\");P(k),Z()}if(f&&n.hasText){var E=u.select(\".label-temp\"),S=Lct(r,n,n.dragmode);Ict(a,\"label-temp\",S,E)}function L(j){_=+j.srcElement.getAttribute(\"data-i\"),b=+j.srcElement.getAttribute(\"data-j\"),d[_][b].moveFn=x}function x(j,N){if(t.length){var H=p[_][b][1],te=p[_][b][2],oe=t[_],_e=oe.length;if(rP(oe)){var Ee=j,Ce=N;if(n.isActiveSelection){var me=Fue(oe,b);me[1]===oe[b][1]?Ce=0:Ee=0}for(var ie=0;ie<_e;ie++)if(ie!==b){var Se=oe[ie];Se[1]===oe[b][1]&&(Se[1]=H+Ee),Se[2]===oe[b][2]&&(Se[2]=te+Ce)}if(oe[b][1]=H+Ee,oe[b][2]=te+Ce,!rP(oe))for(var Le=0;Le<_e;Le++)for(var Ae=0;Ae<oe[Le].length;Ae++)oe[Le][Ae]=p[_][Le][Ae]}else oe[b][1]=H+j,oe[b][2]=te+N;o()}}function C(){s()}function M(){if(t.length&&t[_]&&t[_].length){for(var j=[],N=0;N<t[_].length;N++)N!==b&&j.push(t[_][N]);j.length>1&&!(j.length===2&&j[1][0]===\"Z\")&&(b===0&&(j[0][0]=\"M\"),t[_]=j,o(),s())}}function g(j,N){if(j===2){_=+N.srcElement.getAttribute(\"data-i\"),b=+N.srcElement.getAttribute(\"data-j\");var H=t[_];!rP(H)&&!JB(H)&&M()}}function P(j){d=[];for(var N=0;N<t.length;N++){var H=t[N],te=rP(H),oe=!te&&JB(H);d[N]=[];for(var _e=H.length,Ee=0;Ee<_e;Ee++)if(H[Ee][0]!==\"Z\"&&!(oe&&Ee!==Tct&&Ee!==Act&&Ee!==Sct&&Ee!==Mct)){var Ce=te&&n.isActiveSelection,me;Ce&&(me=Fue(H,Ee));var ie=H[Ee][1],Se=H[Ee][2],Le=j.append(Ce?\"rect\":\"circle\").attr(\"data-i\",N).attr(\"data-j\",Ee).style({fill:Due.background,stroke:Due.defaultLine,\"stroke-width\":1,\"shape-rendering\":\"crispEdges\"});if(Ce){var Ae=me[1]-ie,Fe=me[2]-Se,Pe=Fe?5:Math.max(Math.min(25,Math.abs(Ae)-5),5),ge=Ae?5:Math.max(Math.min(25,Math.abs(Fe)-5),5);Le.classed(Fe?\"cursor-ew-resize\":\"cursor-ns-resize\",!0).attr(\"width\",Pe).attr(\"height\",ge).attr(\"x\",ie-Pe/2).attr(\"y\",Se-ge/2).attr(\"transform\",bct(Ae/2,Fe/2))}else Le.classed(\"cursor-grab\",!0).attr(\"r\",5).attr(\"cx\",ie).attr(\"cy\",Se);d[N][Ee]={element:Le.node(),gd:a,prepFn:L,doneFn:C,clickFn:g},Rue.init(d[N][Ee])}}}function T(j,N){if(t.length)for(var H=0;H<t.length;H++)for(var te=0;te<t[H].length;te++)for(var oe=0;oe+2<t[H][te].length;oe+=2)t[H][te][oe+1]=p[H][te][oe+1]+j,t[H][te][oe+2]=p[H][te][oe+2]+N}function z(j,N){T(j,N),o()}function O(j){_=+j.srcElement.getAttribute(\"data-i\"),_||(_=0),v[_].moveFn=z}function V(){s()}function G(j){j===2&&Dct(a)}function Z(){if(v=[],!!t.length){var j=0;v[j]={element:r[0][0],gd:a,prepFn:O,doneFn:V,clickFn:G},Rue.init(v[j])}}};function Rct(e,t){for(var r=0;r<t.length;r++){var n=t[r];e[r]=[];for(var i=0;i<n.length;i++){e[r][i]=[];for(var a=0;a<n[i].length;a++)e[r][i][a]=n[i][a]}}return e}function Fue(e,t){var r=e[t][1],n=e[t][2],i=e.length,a,o,s;return a=(t+1)%i,o=e[a][1],s=e[a][2],o===r&&s===n&&(a=(t+2)%i,o=e[a][1],s=e[a][2]),[a,o,s]}function Dct(e){if(Oue(e._fullLayout.dragmode)){Bue(e);var t=e._fullLayout._activeSelectionIndex,r=(e.layout||{}).selections||[];if(t<r.length){for(var n=[],i=0;i<r.length;i++)i!==t&&n.push(r[i]);delete e._fullLayout._activeSelectionIndex;var a=e._fullLayout.selections[t];e._fullLayout._deselect={xref:a.xref,yref:a.yref},que.call(\"_guiRelayout\",e,{selections:n})}}}});var lP=ye((zar,Kue)=>{\"use strict\";var Fct=Oa(),Wue=qa(),Uue=Dr(),Y3=ho(),zct=u_().readPaths,Oct=nP(),oP=KB(),Xue=Q1().clearOutlineControllers,QB=ka(),tN=So(),qct=vl().arrayEditor,Vue=yv(),Gue=Sg(),qb=gM(),Ep=f_(),eN=Ep.getPathString;Kue.exports={draw:rN,drawOne:Zue,eraseActiveShape:Uct,drawLabel:oP};function rN(e){var t=e._fullLayout;t._shapeUpperLayer.selectAll(\"path\").remove(),t._shapeLowerLayer.selectAll(\"path\").remove(),t._shapeUpperLayer.selectAll(\"text\").remove(),t._shapeLowerLayer.selectAll(\"text\").remove();for(var r in t._plots){var n=t._plots[r].shapelayer;n&&(n.selectAll(\"path\").remove(),n.selectAll(\"text\").remove())}for(var i=0;i<t.shapes.length;i++)t.shapes[i].visible===!0&&Zue(e,i)}function aP(e){return!!e._fullLayout._outlining}function sP(e){return!e._context.edits.shapePosition}function Zue(e,t){e._fullLayout._paperdiv.selectAll('.shapelayer [data-index=\"'+t+'\"]').remove();var r=Ep.makeShapesOptionsAndPlotinfo(e,t),n=r.options,i=r.plotinfo;if(!n._input||n.visible!==!0)return;if(n.layer===\"above\")o(e._fullLayout._shapeUpperLayer);else if(n.xref===\"paper\"||n.yref===\"paper\")o(e._fullLayout._shapeLowerLayer);else if(n.layer===\"between\")o(i.shapelayerBetween);else if(i._hadPlotinfo){var a=i.mainplotinfo||i;o(a.shapelayer)}else 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e._context.edits.shapePosition?Bct(e,k,n,t,s,E):n.editable===!0&&k.style(\"pointer-events\",_||QB.opacity(f)*c<=.5?\"stroke\":\"all\");k.node().addEventListener(\"click\",function(){return Nct(e,k)})}}function Yue(e,t,r){var n=(r.xref+r.yref).replace(/paper/g,\"\").replace(/[xyz][0-9]* *domain/g,\"\");tN.setClipUrl(e,n?\"clip\"+t._fullLayout._uid+n:null,t)}function Bct(e,t,r,n,i,a){var o=10,s=10,l=r.xsizemode===\"pixel\",u=r.ysizemode===\"pixel\",c=r.type===\"line\",f=r.type===\"path\",h=a.modifyItem,d,v,_,b,p,k,E,S,L,x,C,M,g,P,T,z=Fct.select(t.node().parentNode),O=Y3.getFromId(e,r.xref),V=Y3.getRefType(r.xref),G=Y3.getFromId(e,r.yref),Z=Y3.getRefType(r.yref),j=r.x0shift,N=r.x1shift,H=r.y0shift,te=r.y1shift,oe=function(st,lt){var Gt=Ep.getDataToPixel(e,O,lt,!1,V);return Gt(st)},_e=function(st,lt){var Gt=Ep.getDataToPixel(e,G,lt,!0,Z);return Gt(st)},Ee=Ep.getPixelToData(e,O,!1,V),Ce=Ep.getPixelToData(e,G,!0,Z),me=Le(),ie={element:me.node(),gd:e,prepFn:Pe,doneFn:ge,clickFn:Re},Se;Vue.init(ie),me.node().onmousemove=Fe;function Le(){return c?Ae():t}function Ae(){var st=10,lt=Math.max(r.line.width,st),Gt=i.append(\"g\").attr(\"data-index\",n).attr(\"drag-helper\",!0);Gt.append(\"path\").attr(\"d\",t.attr(\"d\")).style({cursor:\"move\",\"stroke-width\":lt,\"stroke-opacity\":\"0\"});var Nt={\"fill-opacity\":\"0\"},Jt=Math.max(lt/2,st);return Gt.append(\"circle\").attr({\"data-line-point\":\"start-point\",cx:l?oe(r.xanchor)+r.x0:oe(r.x0,j),cy:u?_e(r.yanchor)-r.y0:_e(r.y0,H),r:Jt}).style(Nt).classed(\"cursor-grab\",!0),Gt.append(\"circle\").attr({\"data-line-point\":\"end-point\",cx:l?oe(r.xanchor)+r.x1:oe(r.x1,N),cy:u?_e(r.yanchor)-r.y1:_e(r.y1,te),r:Jt}).style(Nt).classed(\"cursor-grab\",!0),Gt}function 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oce=aN(),jct=Object.keys(oce),sce=[\"drawline\",\"drawopenpath\",\"drawclosedpath\",\"drawcircle\",\"drawrect\",\"eraseshape\"],lce=[\"v1hovermode\",\"hoverclosest\",\"hovercompare\",\"togglehover\",\"togglespikelines\"].concat(sce),J3=[],Wct=function(e){if(lce.indexOf(e._cat||e.name)===-1){var t=e.name,r=(e._cat||e.name).toLowerCase();J3.indexOf(t)===-1&&J3.push(t),J3.indexOf(r)===-1&&J3.push(r)}};jct.forEach(function(e){Wct(oce[e])});J3.sort();uce.exports={DRAW_MODES:sce,backButtons:lce,foreButtons:J3}});var sN=ye((Nar,cce)=>{\"use strict\";var 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lN=Oa(),Kct=Eo(),fP=Dr(),dce=XL(),Jct=l6().version,$ct=new DOMParser;function vce(e){this.container=e.container,this.element=document.createElement(\"div\"),this.update(e.graphInfo,e.buttons),this.container.appendChild(this.element)}var Tm=vce.prototype;Tm.update=function(e,t){this.graphInfo=e;var r=this.graphInfo._context,n=this.graphInfo._fullLayout,i=\"modebar-\"+n._uid;this.element.setAttribute(\"id\",i),this.element.setAttribute(\"role\",\"toolbar\"),this._uid=i,this.element.className=\"modebar modebar--custom\",r.displayModeBar===\"hover\"&&(this.element.className+=\" modebar--hover ease-bg\"),n.modebar.orientation===\"v\"&&(this.element.className+=\" vertical\",t=t.reverse());var a=n.modebar,o=\"#\"+i+\" .modebar-group\";document.querySelectorAll(o).forEach(function(f){f.style.backgroundColor=a.bgcolor});var s=!this.hasButtons(t),l=this.hasLogo!==r.displaylogo,u=this.locale!==r.locale;if(this.locale=r.locale,(s||l||u)&&(this.removeAllButtons(),this.updateButtons(t),r.watermark||r.displaylogo)){var c=this.getLogo();r.watermark&&(c.className=c.className+\" watermark\"),n.modebar.orientation===\"v\"?this.element.insertBefore(c,this.element.childNodes[0]):this.element.appendChild(c),this.hasLogo=!0}this.updateActiveButton(),fP.setStyleOnHover(\"#\"+i+\" .modebar-btn\",\".active\",\".icon path\",\"fill: \"+a.activecolor,\"fill: \"+a.color,this.element)};Tm.updateButtons=function(e){var t=this;this.buttons=e,this.buttonElements=[],this.buttonsNames=[],this.buttons.forEach(function(r){var n=t.createGroup();r.forEach(function(i){var a=i.name;if(!a)throw new Error(\"must provide button 'name' in button config\");if(t.buttonsNames.indexOf(a)!==-1)throw new Error(\"button name '\"+a+\"' is taken\");t.buttonsNames.push(a);var o=t.createButton(i);t.buttonElements.push(o),n.appendChild(o)}),t.element.appendChild(n)})};Tm.createGroup=function(){var e=document.createElement(\"div\");e.className=\"modebar-group\";var t=this.graphInfo._fullLayout.modebar;return e.style.backgroundColor=t.bgcolor,e};Tm.createButton=function(e){var t=this,r=document.createElement(\"button\");r.setAttribute(\"type\",\"button\"),r.setAttribute(\"rel\",\"tooltip\"),r.className=\"modebar-btn\";var n=e.title;n===void 0?n=e.name:typeof n==\"function\"&&(n=n(this.graphInfo)),(n||n===0)&&(r.setAttribute(\"data-title\",n),r.setAttribute(\"aria-label\",n)),e.attr!==void 0&&r.setAttribute(\"data-attr\",e.attr);var i=e.val;i!==void 0&&(typeof i==\"function\"&&(i=i(this.graphInfo)),r.setAttribute(\"data-val\",i));var a=e.click;if(typeof a!=\"function\")throw new Error(\"must provide button 'click' function in button config\");r.addEventListener(\"click\",function(s){e.click(t.graphInfo,s),t.updateActiveButton(s.currentTarget)}),r.setAttribute(\"data-toggle\",e.toggle||!1),e.toggle&&lN.select(r).classed(\"active\",!0);var o=e.icon;return typeof o==\"function\"?r.appendChild(o()):r.appendChild(this.createIcon(o||dce.question)),r.setAttribute(\"data-gravity\",e.gravity||\"n\"),r};Tm.createIcon=function(e){var t=Kct(e.height)?Number(e.height):e.ascent-e.descent,r=\"http://www.w3.org/2000/svg\",n;if(e.path){n=document.createElementNS(r,\"svg\"),n.setAttribute(\"viewBox\",[0,0,e.width,t].join(\" \")),n.setAttribute(\"class\",\"icon\");var i=document.createElementNS(r,\"path\");i.setAttribute(\"d\",e.path),e.transform?i.setAttribute(\"transform\",e.transform):e.ascent!==void 0&&i.setAttribute(\"transform\",\"matrix(1 0 0 -1 0 \"+e.ascent+\")\"),n.appendChild(i)}if(e.svg){var a=$ct.parseFromString(e.svg,\"application/xml\");n=a.childNodes[0]}return n.setAttribute(\"height\",\"1em\"),n.setAttribute(\"width\",\"1em\"),n};Tm.updateActiveButton=function(e){var t=this.graphInfo._fullLayout,r=e!==void 0?e.getAttribute(\"data-attr\"):null;this.buttonElements.forEach(function(n){var i=n.getAttribute(\"data-val\")||!0,a=n.getAttribute(\"data-attr\"),o=n.getAttribute(\"data-toggle\")===\"true\",s=lN.select(n),l=function(f,h){var d=t.modebar,v=f.querySelector(\".icon path\");v&&(h||f.matches(\":hover\")?v.style.fill=d.activecolor:v.style.fill=d.color)};if(o){if(a===r){var u=!s.classed(\"active\");s.classed(\"active\",u),l(n,u)}}else{var c=a===null?a:fP.nestedProperty(t,a).get();s.classed(\"active\",c===i),l(n,c===i)}})};Tm.hasButtons=function(e){var t=this.buttons;if(!t||e.length!==t.length)return!1;for(var r=0;r<e.length;++r){if(e[r].length!==t[r].length)return!1;for(var n=0;n<e[r].length;n++)if(e[r][n].name!==t[r][n].name)return!1}return!0};function Qct(e){return e+\" (v\"+Jct+\")\"}Tm.getLogo=function(){var e=this.createGroup(),t=document.createElement(\"a\");return t.href=\"https://plotly.com/\",t.target=\"_blank\",t.setAttribute(\"data-title\",Qct(fP._(this.graphInfo,\"Produced with Plotly.js\"))),t.className=\"modebar-btn plotlyjsicon modebar-btn--logo\",t.appendChild(this.createIcon(dce.newplotlylogo)),e.appendChild(t),e};Tm.removeAllButtons=function(){for(;this.element.firstChild;)this.element.removeChild(this.element.firstChild);this.hasLogo=!1};Tm.destroy=function(){fP.removeElement(this.container.querySelector(\".modebar\"))};function eft(e,t){var r=e._fullLayout,n=new vce({graphInfo:e,container:r._modebardiv.node(),buttons:t});return r._privateplot&&lN.select(n.element).append(\"span\").classed(\"badge-private float--left\",!0).text(\"PRIVATE\"),n}pce.exports=eft});var _ce=ye((Gar,yce)=>{\"use strict\";var tft=hf(),mce=Ru(),uN=qa(),rft=ip().isUnifiedHover,ift=gce(),hP=aN(),nft=oN().DRAW_MODES,aft=Dr().extendDeep;yce.exports=function(t){var r=t._fullLayout,n=t._context,i=r._modeBar;if(!n.displayModeBar&&!n.watermark){i&&(i.destroy(),delete r._modeBar);return}if(!Array.isArray(n.modeBarButtonsToRemove))throw new Error([\"*modeBarButtonsToRemove* configuration options\",\"must be an array.\"].join(\" \"));if(!Array.isArray(n.modeBarButtonsToAdd))throw new Error([\"*modeBarButtonsToAdd* configuration options\",\"must be an array.\"].join(\" \"));var a=n.modeBarButtons,o;Array.isArray(a)&&a.length?o=fft(a):!n.displayModeBar&&n.watermark?o=[]:o=oft(t),i?i.update(t,o):r._modeBar=ift(t,o)};function oft(e){var t=e._fullLayout,r=e._fullData,n=e._context;function i(N,H){if(typeof H==\"string\"){if(H.toLowerCase()===N.toLowerCase())return!0}else{var te=H.name,oe=H._cat||H.name;if(te===N||oe===N.toLowerCase())return!0}return!1}var a=t.modebar.add;typeof a==\"string\"&&(a=[a]);var o=t.modebar.remove;typeof o==\"string\"&&(o=[o]);var s=n.modeBarButtonsToAdd.concat(a.filter(function(N){for(var H=0;H<n.modeBarButtonsToRemove.length;H++)if(i(N,n.modeBarButtonsToRemove[H]))return!1;return!0})),l=n.modeBarButtonsToRemove.concat(o.filter(function(N){for(var H=0;H<n.modeBarButtonsToAdd.length;H++)if(i(N,n.modeBarButtonsToAdd[H]))return!1;return!0})),u=t._has(\"cartesian\"),c=t._has(\"gl3d\"),f=t._has(\"geo\"),h=t._has(\"pie\"),d=t._has(\"funnelarea\"),v=t._has(\"ternary\"),_=t._has(\"mapbox\"),b=t._has(\"map\"),p=t._has(\"polar\"),k=t._has(\"smith\"),E=t._has(\"sankey\"),S=sft(t),L=rft(t.hovermode),x=[];function C(N){if(N.length){for(var H=[],te=0;te<N.length;te++){for(var oe=N[te],_e=hP[oe],Ee=_e.name.toLowerCase(),Ce=(_e._cat||_e.name).toLowerCase(),me=!1,ie=0;ie<l.length;ie++){var Se=l[ie].toLowerCase();if(Se===Ee||Se===Ce){me=!0;break}}me||H.push(hP[oe])}x.push(H)}}var M=[\"toImage\"];n.showEditInChartStudio?M.push(\"editInChartStudio\"):n.showSendToCloud&&M.push(\"sendDataToCloud\"),C(M);var g=[],P=[],T=[],z=[];(u||h||d||v)+f+c+_+b+p+k>1?(P=[\"toggleHover\"],T=[\"resetViews\"]):f?(g=[\"zoomInGeo\",\"zoomOutGeo\"],P=[\"hoverClosestGeo\"],T=[\"resetGeo\"]):c?(P=[\"hoverClosest3d\"],T=[\"resetCameraDefault3d\",\"resetCameraLastSave3d\"]):_?(g=[\"zoomInMapbox\",\"zoomOutMapbox\"],P=[\"toggleHover\"],T=[\"resetViewMapbox\"]):b?(g=[\"zoomInMap\",\"zoomOutMap\"],P=[\"toggleHover\"],T=[\"resetViewMap\"]):h?P=[\"hoverClosestPie\"]:E?(P=[\"hoverClosestCartesian\",\"hoverCompareCartesian\"],T=[\"resetViewSankey\"]):P=[\"toggleHover\"],u&&P.push(\"toggleSpikelines\",\"hoverClosestCartesian\",\"hoverCompareCartesian\"),(uft(r)||L)&&(P=[]),u&&!S&&(g=[\"zoomIn2d\",\"zoomOut2d\",\"autoScale2d\"],T[0]!==\"resetViews\"&&(T=[\"resetScale2d\"])),c?z=[\"zoom3d\",\"pan3d\",\"orbitRotation\",\"tableRotation\"]:u&&!S||v?z=[\"zoom2d\",\"pan2d\"]:_||b||f?z=[\"pan2d\"]:p&&(z=[\"zoom2d\"]),lft(r)&&z.push(\"select2d\",\"lasso2d\");var O=[],V=function(N){O.indexOf(N)===-1&&P.indexOf(N)!==-1&&O.push(N)};if(Array.isArray(s)){for(var G=[],Z=0;Z<s.length;Z++){var j=s[Z];typeof j==\"string\"?(j=j.toLowerCase(),nft.indexOf(j)!==-1?(t._has(\"mapbox\")||t._has(\"map\")||t._has(\"cartesian\"))&&z.push(j):j===\"togglespikelines\"?V(\"toggleSpikelines\"):j===\"togglehover\"?V(\"toggleHover\"):j===\"hovercompare\"?V(\"hoverCompareCartesian\"):j===\"hoverclosest\"?(V(\"hoverClosestCartesian\"),V(\"hoverClosestGeo\"),V(\"hoverClosest3d\"),V(\"hoverClosestPie\")):j===\"v1hovermode\"&&(V(\"hoverClosestCartesian\"),V(\"hoverCompareCartesian\"),V(\"hoverClosestGeo\"),V(\"hoverClosest3d\"),V(\"hoverClosestPie\"))):G.push(j)}s=G}return C(z),C(g.concat(T)),C(O),cft(x,s)}function sft(e){for(var t=tft.list({_fullLayout:e},null,!0),r=0;r<t.length;r++){var n=t[r].modebardisable;if(!t[r].fixedrange&&n!==\"autoscale+zoominout\"&&n!==\"zoominout+autoscale\")return!1}return!0}function lft(e){for(var t=!1,r=0;r<e.length&&!t;r++){var n=e[r];!n._module||!n._module.selectPoints||(uN.traceIs(n,\"scatter-like\")?(mce.hasMarkers(n)||mce.hasText(n))&&(t=!0):uN.traceIs(n,\"box-violin\")?(n.boxpoints===\"all\"||n.points===\"all\")&&(t=!0):t=!0)}return t}function uft(e){for(var t=0;t<e.length;t++)if(!uN.traceIs(e[t],\"noHover\"))return!1;return!0}function cft(e,t){if(t.length)if(Array.isArray(t[0]))for(var r=0;r<t.length;r++)e.push(t[r]);else e.push(t);return e}function fft(e){for(var t=aft([],e),r=0;r<t.length;r++)for(var n=t[r],i=0;i<n.length;i++){var a=n[i];if(typeof a==\"string\")if(hP[a]!==void 0)t[r][i]=hP[a];else throw new Error([\"*modeBarButtons* configuration options\",\"invalid button name\"].join(\" \"))}return t}});var cN=ye((Har,xce)=>{\"use strict\";xce.exports={moduleType:\"component\",name:\"modebar\",layoutAttributes:sN(),supplyLayoutDefaults:hce(),manage:_ce()}});var fN=ye((jar,bce)=>{\"use strict\";var hft=$h().FROM_BL;bce.exports=function(t,r,n){n===void 0&&(n=hft[t.constraintoward||\"center\"]);var i=[t.r2l(t.range[0]),t.r2l(t.range[1])],a=i[0]+(i[1]-i[0])*n;t.range=t._input.range=[t.l2r(a+(i[0]-a)*r),t.l2r(a+(i[1]-a)*r)],t.setScale()}});var Nb=ye(_M=>{\"use strict\";var Bb=Dr(),hN=Ag(),kg=hf().id2name,dft=Rd(),wce=fN(),vft=ym(),pft=fs().ALMOST_EQUAL,gft=$h().FROM_BL;_M.handleDefaults=function(e,t,r){var n=r.axIds,i=r.axHasImage,a=t._axisConstraintGroups=[],o=t._axisMatchGroups=[],s,l,u,c,f,h,d,v;for(s=0;s<n.length;s++)c=kg(n[s]),f=e[c],h=t[c],mft(f,h,{axIds:n,layoutOut:t,hasImage:i[c]});function _(M,g){for(s=0;s<M.length;s++){l=M[s];for(u in l)t[kg(u)][g]=l}}for(_(o,\"_matchGroup\"),s=0;s<a.length;s++){l=a[s];for(u in l)if(h=t[kg(u)],h.fixedrange){for(var b in l){var p=kg(b);(e[p]||{}).fixedrange===!1&&Bb.warn(\"fixedrange was specified as false for axis \"+p+\" but was overridden because another axis in its constraint group has fixedrange true\"),t[p].fixedrange=!0}break}}for(s=0;s<a.length;){l=a[s];for(u in l){h=t[kg(u)],h._matchGroup&&Object.keys(h._matchGroup).length===Object.keys(l).length&&(a.splice(s,1),s--);break}s++}_(a,\"_constraintGroup\");var k=[\"constrain\",\"range\",\"autorange\",\"rangemode\",\"rangebreaks\",\"categoryorder\",\"categoryarray\"],E=!1,S=!1;function L(){v=h[d],d===\"rangebreaks\"&&(S=h._hasDayOfWeekBreaks)}for(s=0;s<o.length;s++){l=o[s];for(var x=0;x<k.length;x++){d=k[x],v=null;var C;for(u in l)if(c=kg(u),f=e[c],h=t[c],d in h){if(!h.matches&&(C=h,d in f)){L();break}v===null&&d in f&&L()}if(d===\"range\"&&v&&f.range&&f.range.length===2&&f.range[0]!==null&&f.range[1]!==null&&(E=!0),d===\"autorange\"&&v===null&&E&&(v=!1),v===null&&d in C&&(v=C[d]),v!==null)for(u in l)h=t[kg(u)],h[d]=d===\"range\"?v.slice():v,d===\"rangebreaks\"&&(h._hasDayOfWeekBreaks=S,vft(h,t))}}};function mft(e,t,r){var n=r.axIds,i=r.layoutOut,a=r.hasImage,o=i._axisConstraintGroups,s=i._axisMatchGroups,l=t._id,u=l.charAt(0),c=((i._splomAxes||{})[u]||{})[l]||{},f=t._id,h=f.charAt(0)===\"x\";t._matchGroup=null,t._constraintGroup=null;function d(z,O){return Bb.coerce(e,t,dft,z,O)}d(\"constrain\",a?\"domain\":\"range\"),Bb.coerce(e,t,{constraintoward:{valType:\"enumerated\",values:h?[\"left\",\"center\",\"right\"]:[\"bottom\",\"middle\",\"top\"],dflt:h?\"center\":\"middle\"}},\"constraintoward\");var v=t.type,_,b,p=[];for(_=0;_<n.length;_++)if(b=n[_],b!==f){var k=i[kg(b)];k.type===v&&p.push(b)}var E=Sce(o,f);if(E){var S=[];for(_=0;_<p.length;_++)b=p[_],E[b]||S.push(b);p=S}var L=p.length,x,C;L&&(e.matches||c.matches)&&(x=Bb.coerce(e,t,{matches:{valType:\"enumerated\",values:p,dflt:p.indexOf(c.matches)!==-1?c.matches:void 0}},\"matches\"));var M=a&&!h?t.anchor:void 0;if(L&&!x&&(e.scaleanchor||M)&&(C=Bb.coerce(e,t,{scaleanchor:{valType:\"enumerated\",values:p.concat([!1])}},\"scaleanchor\",M)),x){t._matchGroup=dN(s,f,x,1);var g=i[kg(x)],P=Tce(i,t)/Tce(i,g);h!==(x.charAt(0)===\"x\")&&(P=(h?\"x\":\"y\")+P),dN(o,f,x,P)}else e.matches&&n.indexOf(e.matches)!==-1&&Bb.warn(\"ignored \"+t._name+'.matches: \"'+e.matches+'\" to avoid an infinite loop');if(C){var T=d(\"scaleratio\");T||(T=t.scaleratio=1),dN(o,f,C,T)}else e.scaleanchor&&n.indexOf(e.scaleanchor)!==-1&&Bb.warn(\"ignored \"+t._name+'.scaleanchor: \"'+e.scaleanchor+'\" to avoid either an infinite loop and possibly inconsistent scaleratios, or because this axis declares a *matches* constraint.')}function Tce(e,t){var r=t.domain;return r||(r=e[kg(t.overlaying)].domain),r[1]-r[0]}function Sce(e,t){for(var r=0;r<e.length;r++)if(e[r][t])return e[r];return null}function dN(e,t,r,n){var i,a,o,s,l,u=Sce(e,t);u===null?(u={},u[t]=1,l=e.length,e.push(u)):l=e.indexOf(u);var c=Object.keys(u);for(i=0;i<e.length;i++)if(o=e[i],i!==l&&o[r]){var f=o[r];for(a=0;a<c.length;a++)s=c[a],o[s]=vN(f,vN(n,u[s]));e.splice(l,1);return}if(n!==1)for(a=0;a<c.length;a++){var h=c[a];u[h]=vN(n,u[h])}u[r]=1}function vN(e,t){var r=\"\",n=\"\",i,a;typeof e==\"string\"&&(r=e.match(/^[xy]*/)[0],i=r.length,e=+e.slice(i)),typeof t==\"string\"&&(n=t.match(/^[xy]*/)[0],a=n.length,t=+t.slice(a));var o=e*t;return!i&&!a?o:!i||!a||r.charAt(0)===n.charAt(0)?r+n+e*t:i===a?o:(i>a?r.slice(a):n.slice(i))+o}function yft(e,t){for(var r=t._size,n=r.h/r.w,i={},a=Object.keys(e),o=0;o<a.length;o++){var s=a[o],l=e[s];if(typeof l==\"string\"){var u=l.match(/^[xy]*/)[0],c=u.length;l=+l.slice(c);for(var f=u.charAt(0)===\"y\"?n:1/n,h=0;h<c;h++)l*=f}i[s]=l}return i}_M.enforce=function(t){var r=t._fullLayout,n=r._axisConstraintGroups||[],i,a,o,s,l,u,c,f;for(i=0;i<n.length;i++){o=yft(n[i],r);var h=Object.keys(o),d=1/0,v=0,_=1/0,b={},p={},k=!1;for(a=0;a<h.length;a++)s=h[a],p[s]=l=r[kg(s)],l._inputDomain?l.domain=l._inputDomain.slice():l._inputDomain=l.domain.slice(),l._inputRange||(l._inputRange=l.range.slice()),l.setScale(),b[s]=u=Math.abs(l._m)/o[s],d=Math.min(d,u),(l.constrain===\"domain\"||!l._constraintShrinkable)&&(_=Math.min(_,u)),delete l._constraintShrinkable,v=Math.max(v,u),l.constrain===\"domain\"&&(k=!0);if(!(d>pft*v&&!k)){for(a=0;a<h.length;a++)if(s=h[a],u=b[s],l=p[s],c=l.constrain,u!==_||c===\"domain\")if(f=u/_,c===\"range\")wce(l,f);else{var E=l._inputDomain,S=(l.domain[1]-l.domain[0])/(E[1]-E[0]),L=(l.r2l(l.range[1])-l.r2l(l.range[0]))/(l.r2l(l._inputRange[1])-l.r2l(l._inputRange[0]));if(f/=S,f*L<1){l.domain=l._input.domain=E.slice(),wce(l,f);continue}if(L<1&&(l.range=l._input.range=l._inputRange.slice(),f*=L),l.autorange){var 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Fe=\"M0,0\";kce(c,o)&&(oe=dP(c,\"bottom\",u,i),j=c._offset+c._length+(oe?n:0),_e=dP(c,\"top\",u,i),N=c._offset-(_e?n:0),H=f(c,u,\"left\"),te=f(c,u,\"right\"),Ee=!c._anchorAxis||o!==c._mainSubplot,Ee&&(c.mirror===\"allticks\"||c.mirror===\"all\")&&(c._linepositions[o]=[H,te]),Fe=Le(c,ie,Se),Ee&&c.showline&&(c.mirror===\"all\"||c.mirror===\"allticks\")&&(Fe+=ie(H)+ie(te)),s.ylines.style(\"stroke-width\",c._lw+\"px\").call(xM.stroke,c.showline?c.linecolor:\"rgba(0,0,0,0)\")),s.ylines.attr(\"d\",Fe)}return bM.makeClipPaths(e),Jp.previousPromises(e)}function kce(e,t){return(e.ticks||e.showline)&&(t===e._mainSubplot||e.mirror===\"all\"||e.mirror===\"allticks\")}function Cce(e,t,r){if(!r.showline||!r._lw)return!1;if(r.mirror===\"all\"||r.mirror===\"allticks\")return!0;var n=r._anchorAxis;if(!n)return!1;var i=Cy.FROM_BL[t];return r.side===t?n.domain[i]===e.domain[i]:r.mirror&&n.domain[1-i]===e.domain[1-i]}function dP(e,t,r,n){if(Cce(e,t,r))return r._lw;for(var i=0;i<n.length;i++){var a=n[i];if(a._mainAxis===r._mainAxis&&Cce(e,t,a))return a._lw}return 0}pd.drawMainTitle=function(e){var t=e._fullLayout.title,r=e._fullLayout,n=Pft(r),i=Ift(r),a=Lft(r,i),o=Cft(r,n);if(Mce.draw(e,\"gtitle\",{propContainer:r,propName:\"title.text\",subtitlePropName:\"title.subtitle.text\",placeholder:r._dfltTitle.plot,subtitlePlaceholder:r._dfltTitle.subtitle,attributes:{x:o,y:a,\"text-anchor\":n,dy:i}}),t.text&&t.automargin){var s=vP.select(e).selectAll(\".gtitle\"),l=$3.bBox(vP.select(e).selectAll(\".g-gtitle\").node()).height,u=Eft(e,t,l);if(u>0){kft(e,a,u,l),s.attr({x:o,y:a,\"text-anchor\":n,dy:Lce(t.yanchor)}).call(pN.positionText,o,a);var c=(t.text.match(pN.BR_TAG_ALL)||[]).length;if(c){var f=Cy.LINE_SPACING*c+Cy.MID_SHIFT;t.y===0&&(f=-f),s.selectAll(\".line\").each(function(){var b=+this.getAttribute(\"dy\").slice(0,-2)-f+\"em\";this.setAttribute(\"dy\",b)})}var h=vP.select(e).selectAll(\".gtitle-subtitle\");if(h.node()){var d=s.node().getBBox(),v=d.y+d.height,_=v+Mce.SUBTITLE_PADDING_EM*t.subtitle.font.size;h.attr({x:o,y:_,\"text-anchor\":n,dy:Lce(t.yanchor)}).call(pN.positionText,o,_)}}}};function Sft(e,t,r,n,i){var a=t.yref===\"paper\"?e._fullLayout._size.h:e._fullLayout.height,o=S0.isTopAnchor(t)?n:n-i,s=r===\"b\"?a-o:o;return S0.isTopAnchor(t)&&r===\"t\"||S0.isBottomAnchor(t)&&r===\"b\"?!1:s<i}function Mft(e,t,r,n,i){var a=0;return r===\"middle\"&&(a+=i/2),e===\"t\"?(r===\"top\"&&(a+=i),a+=n-t*n):(r===\"bottom\"&&(a+=i),a+=t*n),a}function Eft(e,t,r){var n=t.y,i=t.yanchor,a=n>.5?\"t\":\"b\",o=e._fullLayout.margin[a],s=0;return t.yref===\"paper\"?s=r+t.pad.t+t.pad.b:t.yref===\"container\"&&(s=Mft(a,n,i,e._fullLayout.height,r)+t.pad.t+t.pad.b),s>o?s:0}function kft(e,t,r,n){var i=\"title.automargin\",a=e._fullLayout.title,o=a.y>.5?\"t\":\"b\",s={x:a.x,y:a.y,t:0,b:0},l={};a.yref===\"paper\"&&Sft(e,a,o,t,n)?s[o]=r:a.yref===\"container\"&&(l[o]=r,e._fullLayout._reservedMargin[i]=l),Jp.allowAutoMargin(e,i),Jp.autoMargin(e,i,s)}function Cft(e,t){var r=e.title,n=e._size,i=0;switch(t===Rce?i=r.pad.l:t===Dce&&(i=-r.pad.r),r.xref){case\"paper\":return n.l+n.w*r.x+i;case\"container\":default:return e.width*r.x+i}}function Lft(e,t){var r=e.title,n=e._size,i=0;if(t===\"0em\"||!t?i=-r.pad.b:t===Cy.CAP_SHIFT+\"em\"&&(i=r.pad.t),r.y===\"auto\")return n.t/2;switch(r.yref){case\"paper\":return n.t+n.h-n.h*r.y+i;case\"container\":default:return e.height-e.height*r.y+i}}function Lce(e){return e===\"top\"?Cy.CAP_SHIFT+.3+\"em\":e===\"bottom\"?\"-0.3em\":Cy.MID_SHIFT+\"em\"}function Pft(e){var t=e.title,r=bft;return S0.isRightAnchor(t)?r=Dce:S0.isLeftAnchor(t)&&(r=Rce),r}function Ift(e){var t=e.title,r=\"0em\";return S0.isTopAnchor(t)?r=Cy.CAP_SHIFT+\"em\":S0.isMiddleAnchor(t)&&(r=Cy.MID_SHIFT+\"em\"),r}pd.doTraceStyle=function(e){var t=e.calcdata,r=[],n;for(n=0;n<t.length;n++){var i=t[n],a=i[0]||{},o=a.trace||{},s=o._module||{},l=s.arraysToCalcdata;l&&l(i,o);var u=s.editStyle;u&&r.push({fn:u,cd0:a})}if(r.length){for(n=0;n<r.length;n++){var c=r[n];c.fn(e,c.cd0)}gN(e),pd.redrawReglTraces(e)}return Jp.style(e),Nv.getComponentMethod(\"legend\",\"draw\")(e),Jp.previousPromises(e)};pd.doColorBars=function(e){return Nv.getComponentMethod(\"colorbar\",\"draw\")(e),Jp.previousPromises(e)};pd.layoutReplot=function(e){var t=e.layout;return e.layout=void 0,Nv.call(\"_doPlot\",e,\"\",t)};pd.doLegend=function(e){return Nv.getComponentMethod(\"legend\",\"draw\")(e),Jp.previousPromises(e)};pd.doTicksRelayout=function(e){return bM.draw(e,\"redraw\"),e._fullLayout._hasOnlyLargeSploms&&(Nv.subplotsRegistry.splom.updateGrid(e),gN(e),pd.redrawReglTraces(e)),pd.drawMainTitle(e),Jp.previousPromises(e)};pd.doModeBar=function(e){var t=e._fullLayout;Pce.manage(e);for(var r=0;r<t._basePlotModules.length;r++){var n=t._basePlotModules[r].updateFx;n&&n(e)}return Jp.previousPromises(e)};pd.doCamera=function(e){for(var t=e._fullLayout,r=t._subplots.gl3d,n=0;n<r.length;n++){var i=t[r[n]],a=i._scene;a.setViewport(i)}};pd.drawData=function(e){var t=e._fullLayout;gN(e);for(var r=t._basePlotModules,n=0;n<r.length;n++)r[n].plot(e);return pd.redrawReglTraces(e),Jp.style(e),Nv.getComponentMethod(\"selections\",\"draw\")(e),Nv.getComponentMethod(\"shapes\",\"draw\")(e),Nv.getComponentMethod(\"annotations\",\"draw\")(e),Nv.getComponentMethod(\"images\",\"draw\")(e),t._replotting=!1,Jp.previousPromises(e)};pd.redrawReglTraces=function(e){var t=e._fullLayout;if(t._has(\"regl\")){var r=e._fullData,n=[],i=[],a,o;for(t._hasOnlyLargeSploms&&t._splomGrid.draw(),a=0;a<r.length;a++){var s=r[a];s.visible===!0&&s._length!==0&&(s.type===\"splom\"?t._splomScenes[s.uid].draw():s.type===\"scattergl\"?S0.pushUnique(n,s.xaxis+s.yaxis):s.type===\"scatterpolargl\"&&S0.pushUnique(i,s.subplot))}for(a=0;a<n.length;a++)o=t._plots[n[a]],o._scene&&o._scene.draw();for(a=0;a<i.length;a++)o=t[i[a]]._subplot,o._scene&&o._scene.draw()}};pd.doAutoRangeAndConstraints=function(e){for(var t=bM.list(e,\"\",!0),r,n={},i=0;i<t.length;i++)if(r=t[i],!n[r._id]){n[r._id]=1,xft(e,r),Ece(e,r);var a=r._matchGroup;if(a)for(var o in a){var s=bM.getFromId(e,o);Ece(e,s,r.range),n[o]=1}}_ft(e)};pd.finalDraw=function(e){Nv.getComponentMethod(\"rangeslider\",\"draw\")(e),Nv.getComponentMethod(\"rangeselector\",\"draw\")(e)};pd.drawMarginPushers=function(e){Nv.getComponentMethod(\"legend\",\"draw\")(e),Nv.getComponentMethod(\"rangeselector\",\"draw\")(e),Nv.getComponentMethod(\"sliders\",\"draw\")(e),Nv.getComponentMethod(\"updatemenus\",\"draw\")(e),Nv.getComponentMethod(\"colorbar\",\"draw\")(e)}});var _N=ye((Zar,Bce)=>{\"use strict\";var Rft=u_().readPaths,Dft=nP(),Fce=Q1().clearOutlineControllers,mN=ka(),zce=So(),Fft=vl().arrayEditor,Oce=f_(),zft=Oce.getPathString;Bce.exports={draw:pP,drawOne:qce,activateLastSelection:Bft};function pP(e){var t=e._fullLayout;Fce(e),t._selectionLayer.selectAll(\"path\").remove();for(var r in t._plots){var n=t._plots[r].selectionLayer;n&&n.selectAll(\"path\").remove()}for(var i=0;i<t.selections.length;i++)qce(e,i)}function gP(e){return e._context.editSelection}function qce(e,t){e._fullLayout._paperdiv.selectAll('.selectionlayer [data-index=\"'+t+'\"]').remove();var r=Oce.makeSelectionsOptionsAndPlotinfo(e,t),n=r.options,i=r.plotinfo;if(!n._input)return;a(e._fullLayout._selectionLayer);function a(o){var s=zft(e,n),l={\"data-index\":t,\"fill-rule\":\"evenodd\",d:s},u=n.opacity,c=\"rgba(0,0,0,0)\",f=n.line.color||mN.contrast(e._fullLayout.plot_bgcolor),h=n.line.width,d=n.line.dash;h||(h=5,d=\"solid\");var v=gP(e)&&e._fullLayout._activeSelectionIndex===t;v&&(c=e._fullLayout.activeselection.fillcolor,u=e._fullLayout.activeselection.opacity);for(var _=[],b=1;b>=0;b--){var p=o.append(\"path\").attr(l).style(\"opacity\",b?.1:u).call(mN.stroke,f).call(mN.fill,c).call(zce.dashLine,b?\"solid\":d,b?4+h:h);if(Oft(p,e,n),v){var k=Fft(e.layout,\"selections\",n);p.style({cursor:\"move\"});var E={element:p.node(),plotinfo:i,gd:e,editHelpers:k,isActiveSelection:!0},S=Rft(s,e);Dft(S,p,E)}else p.style(\"pointer-events\",b?\"all\":\"none\");_[b]=p}var 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x=yht(s,h),C=x.pointNumbers.length>0;if(C?_ht(h,x):xht(h)&&(k=vfe(x))){for(o&&o.remove(),L=0;L<h.length;L++)d=h[L],d._module.selectPoints(d,!1);DM(t,h),RM(a),c&&PN(t)}else{E=e.shiftKey&&(k!==void 0?k:vfe(x)),v=dht(x.pointNumber,x.searchInfo,E);var M=a.selectionDefs.concat([v]);for(_=CN(M,_),L=0;L<h.length;L++)if(b=h[L]._module.selectPoints(h[L],_),p=Tfe(b,h[L]),f.length)for(var g=0;g<p.length;g++)f.push(p[g]);else f=p;if(S={points:f},DM(t,h,S),v&&a&&a.selectionDefs.push(v),o){var P=a.mergedPolygons,T=AN(a.dragmode);gfe(Afe(P,T),o,a)}c&&FM(t,S)}}}function dht(e,t,r){return{pointNumber:e,searchInfo:t,subtract:!!r}}function wN(e){return\"pointNumber\"in e&&\"searchInfo\"in e}function vht(e){return{xmin:0,xmax:0,ymin:0,ymax:0,pts:[],contains:function(t,r,n,i){var a=e.searchInfo.cd[0].trace.index,o=i.cd[0].trace.index;return o===a&&n===e.pointNumber},isRect:!1,degenerate:!1,subtract:!!e.subtract}}function CN(e){if(!e.length)return;for(var t=[],r=wN(e[0])?0:e[0][0][0],n=r,i=wN(e[0])?0:e[0][0][1],a=i,o=0;o<e.length;o++)if(wN(e[o]))t.push(vht(e[o]));else{var s=MN(e[o]);s.subtract=!!e[o].subtract,t.push(s),r=Math.min(r,s.xmin),n=Math.max(n,s.xmax),i=Math.min(i,s.ymin),a=Math.max(a,s.ymax)}function l(u,c,f,h){for(var d=!1,v=0;v<t.length;v++)t[v].contains(u,c,f,h)&&(d=!t[v].subtract);return d}return{xmin:r,xmax:n,ymin:i,ymax:a,pts:[],contains:l,isRect:!1,degenerate:!1}}function bfe(e,t,r){var n=t._fullLayout,i=r.plotinfo,a=r.dragmode,o=n._lastSelectedSubplot&&n._lastSelectedSubplot===i.id,s=(e.shiftKey||e.altKey)&&!(IM(a)&&AN(a));o&&s&&i.selection&&i.selection.selectionDefs&&!r.selectionDefs?(r.selectionDefs=i.selection.selectionDefs,r.mergedPolygons=i.selection.mergedPolygons):(!s||!i.selection)&&RM(r),o||(mfe(t),n._lastSelectedSubplot=i.id)}function pht(e){return e._fullLayout._activeShapeIndex>=0}function ght(e){return e._fullLayout._activeSelectionIndex>=0}function RM(e,t){var r=e.dragmode,n=e.plotinfo,i=e.gd;pht(i)&&i._fullLayout._deactivateShape(i),ght(i)&&i._fullLayout._deactivateSelection(i);var a=i._fullLayout,o=a._zoomlayer,s=IM(r),l=SN(r);if(s||l){var u=o.selectAll(\".select-outline-\"+n.id);if(u&&i._fullLayout._outlining){var c;s&&(c=iht(u,e)),c&&PM.call(\"_guiRelayout\",i,{shapes:c});var f;l&&!kN(e)&&(f=nht(u,e)),f&&(i._fullLayout._noEmitSelectedAtStart=!0,PM.call(\"_guiRelayout\",i,{selections:f}).then(function(){t&&aht(i)})),i._fullLayout._outlining=!1}}n.selection={},n.selection.selectionDefs=e.selectionDefs=[],n.selection.mergedPolygons=e.mergedPolygons=[]}function dfe(e){return e._id}function wP(e,t,r,n){if(!e.calcdata)return[];var i=[],a=t.map(dfe),o=r.map(dfe),s,l,u;for(u=0;u<e.calcdata.length;u++)if(s=e.calcdata[u],l=s[0].trace,!(l.visible!==!0||!l._module||!l._module.selectPoints))if(kN({subplot:n})&&(l.subplot===n||l.geo===n))i.push(_P(l._module,s,t[0],r[0]));else if(l.type===\"splom\"){if(l._xaxes[a[0]]&&l._yaxes[o[0]]){var 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r=[],n,i,a,o;for(o=0;o<e.length;o++)n=e[o],n.cd[0].trace.selectedpoints&&n.cd[0].trace.selectedpoints.length>0&&r.push(n);if(r.length===1&&(a=r[0]===t.searchInfo,a&&(i=t.searchInfo.cd[0].trace,i.selectedpoints.length===t.pointNumbers.length))){for(o=0;o<t.pointNumbers.length;o++)if(i.selectedpoints.indexOf(t.pointNumbers[o])<0)return!1;return!0}return!1}function xht(e){var t=0,r,n,i;for(i=0;i<e.length;i++)if(r=e[i],n=r.cd[0].trace,n.selectedpoints&&(n.selectedpoints.length>1||(t+=n.selectedpoints.length,t>1)))return!1;return t===1}function DM(e,t,r){var n;for(n=0;n<t.length;n++){var i=t[n].cd[0].trace._fullInput,a=e._fullLayout._tracePreGUI[i.uid]||{};a.selectedpoints===void 0&&(a.selectedpoints=i._input.selectedpoints||null)}var o;if(r){var s=r.points||[];for(n=0;n<t.length;n++)o=t[n].cd[0].trace,o._input.selectedpoints=o._fullInput.selectedpoints=[],o._fullInput!==o&&(o.selectedpoints=[]);for(var l=0;l<s.length;l++){var 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Qfe=ye((yor,$fe)=>{\"use strict\";$fe.exports=function(t,r,n){n(\"newselection.mode\");var i=n(\"newselection.line.width\");i&&(n(\"newselection.line.color\"),n(\"newselection.line.dash\")),n(\"activeselection.fillcolor\"),n(\"activeselection.opacity\")}});var qM=ye((_or,rhe)=>{\"use strict\";var Ght=qa(),ehe=Dr(),the=hf();rhe.exports=function(t){return function(n,i){var a=n[t];if(Array.isArray(a))for(var o=Ght.subplotsRegistry.cartesian,s=o.idRegex,l=i._subplots,u=l.xaxis,c=l.yaxis,f=l.cartesian,h=i._has(\"cartesian\"),d=0;d<a.length;d++){var v=a[d];if(ehe.isPlainObject(v)){var _=the.cleanId(v.xref,\"x\",!1),b=the.cleanId(v.yref,\"y\",!1),p=s.x.test(_),k=s.y.test(b);if(p||k){h||ehe.pushUnique(i._basePlotModules,o);var E=!1;p&&u.indexOf(_)===-1&&(u.push(_),E=!0),k&&c.indexOf(b)===-1&&(c.push(b),E=!0),E&&p&&k&&f.push(_+b)}}}}}});var Of=ye((xor,nhe)=>{\"use strict\";var 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O;if(E===-1)O=v;else{for(S=Math.max(b.length,S),O=[],L=0;L<v.length&&(C=v[L],!(C>=E));L++)O.push(C);for(L=E;L<S;L++)O.push(L)}for(L=0;L<O.length;L++)u(t,O[L])}else l(t);return!0}});var Ohe=ye(C0=>{\"use strict\";var Rhe=Eo(),Dhe=qa(),Uv=Dr(),VM=Mc(),Fhe=hf(),zhe=ka(),GM=Fhe.cleanId,gdt=Fhe.getFromTrace,HN=Dhe.traceIs,mdt=[\"x\",\"y\",\"z\"];C0.clearPromiseQueue=function(e){Array.isArray(e._promises)&&e._promises.length>0&&Uv.log(\"Clearing previous rejected promises from queue.\"),e._promises=[]};C0.cleanLayout=function(e){var t,r;e||(e={}),e.xaxis1&&(e.xaxis||(e.xaxis=e.xaxis1),delete e.xaxis1),e.yaxis1&&(e.yaxis||(e.yaxis=e.yaxis1),delete e.yaxis1),e.scene1&&(e.scene||(e.scene=e.scene1),delete e.scene1);var n=(VM.subplotsRegistry.cartesian||{}).attrRegex,i=(VM.subplotsRegistry.polar||{}).attrRegex,a=(VM.subplotsRegistry.ternary||{}).attrRegex,o=(VM.subplotsRegistry.gl3d||{}).attrRegex,s=Object.keys(e);for(t=0;t<s.length;t++){var l=s[t];if(n&&n.test(l)){var 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b&&(b.x>3?(b.x=1.02,b.xanchor=\"left\"):b.x<-2&&(b.x=-.02,b.xanchor=\"right\"),b.y>3?(b.y=1.02,b.yanchor=\"bottom\"):b.y<-2&&(b.y=-.02,b.yanchor=\"top\")),e.dragmode===\"rotate\"&&(e.dragmode=\"orbit\"),zhe.clean(e),e.template&&e.template.layout&&C0.cleanLayout(e.template.layout),e};function Q3(e,t){var r=e[t],n=t.charAt(0);r&&r!==\"paper\"&&(e[t]=GM(r,n,!0))}C0.cleanData=function(e){for(var t=0;t<e.length;t++){var r=e[t],n;if(r.type===\"histogramy\"&&\"xbins\"in r&&!(\"ybins\"in r)&&(r.ybins=r.xbins,delete r.xbins),r.type===\"histogramy\"&&C0.swapXYData(r),(r.type===\"histogramx\"||r.type===\"histogramy\")&&(r.type=\"histogram\"),\"scl\"in r&&!(\"colorscale\"in r)&&(r.colorscale=r.scl,delete r.scl),\"reversescl\"in r&&!(\"reversescale\"in r)&&(r.reversescale=r.reversescl,delete 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te=n._size,oe=N.orient,_e=oe===\"top\"||oe===\"bottom\";if(G===\"thicknessmode\"){var Ee=_e?te.h:te.w;E(j+\"thickness\",N.thickness*(z===\"fraction\"?1/Ee:Ee),u)}else{var Ce=_e?te.w:te.h;E(j+\"len\",N.len*(z===\"fraction\"?1/Ce:Ce),u)}}else if(x===\"type\"&&(z===\"pie\"!=(T===\"pie\")||z===\"funnelarea\"!=(T===\"funnelarea\"))){var me=\"x\",ie=\"y\";(z===\"bar\"||T===\"bar\")&&M.orientation===\"h\"&&(me=\"y\",ie=\"x\"),Sa.swapAttrs(M,[\"?\",\"?src\"],\"labels\",me),Sa.swapAttrs(M,[\"d?\",\"?0\"],\"label\",me),Sa.swapAttrs(M,[\"?\",\"?src\"],\"values\",ie),T===\"pie\"||T===\"funnelarea\"?(Ec(M,\"marker.color\").set(Ec(M,\"marker.colors\").get()),n._pielayer.selectAll(\"g.trace\").remove()):L0.traceIs(M,\"cartesian\")&&Ec(M,\"marker.colors\").set(Ec(M,\"marker.color\").get())}h[x][u]=Ly(T);var Se=[\"swapxy\",\"swapxyaxes\",\"orientation\",\"orientationaxes\"];if(Se.indexOf(x)!==-1){if(x===\"orientation\"){P.set(z);var Le=M.x&&!M.y?\"h\":\"v\";if((P.get()||Le)===g.orientation)continue}else x===\"orientationaxes\"&&(M.orientation={v:\"h\",h:\"v\"}[g.orientation]);vh.swapXYData(M),c.calc=c.clearAxisTypes=!0}else Qo.dataArrayContainers.indexOf(P.parts[0])!==-1?(vh.manageArrayContainers(P,z,h),c.calc=!0):(O?O.arrayOk&&!L0.traceIs(g,\"regl\")&&(Sa.isArrayOrTypedArray(z)||Sa.isArrayOrTypedArray(T))?c.calc=!0:v_.update(c,O):c.calc=!0,P.set(z))}}if([\"swapxyaxes\",\"orientationaxes\"].indexOf(x)!==-1&&Vv.swap(e,r),x===\"orientationaxes\"){var Ae=Ec(e.layout,\"hovermode\"),Fe=Ae.get();Fe===\"x\"?Ae.set(\"y\"):Fe===\"y\"?Ae.set(\"x\"):Fe===\"x unified\"?Ae.set(\"y unified\"):Fe===\"y unified\"&&Ae.set(\"x unified\")}if([\"orientation\",\"type\"].indexOf(x)!==-1){for(d=[],u=0;u<r.length;u++){var Pe=a[r[u]];L0.traceIs(Pe,\"cartesian\")&&(_(Pe.xaxis||\"x\"),_(Pe.yaxis||\"y\"))}E(d.map(b),!0,0),E(d.map(p),[0,1],0)}}return(c.calc||c.plot)&&(c.fullReplot=!0),{flags:c,undoit:h,redoit:f,traces:r,eventData:Sa.extendDeepNoArrays([],[l,r])}}function HM(e,t,r){e=Sa.getGraphDiv(e),vh.clearPromiseQueue(e);var n={};if(typeof t==\"string\")n[t]=r;else if(Sa.isPlainObject(t))n=Sa.extendFlat({},t);else return Sa.warn(\"Relayout fail.\",t,r),Promise.reject();Object.keys(n).length&&(e.changed=!0);var i=rde(e,n),a=i.flags;a.calc&&(e.calcdata=void 0);var o=[Qo.previousPromises];a.layoutReplot?o.push(Au.layoutReplot):Object.keys(n).length&&(Qhe(e,a,i)||Qo.supplyDefaults(e),a.legend&&o.push(Au.doLegend),a.layoutstyle&&o.push(Au.layoutStyles),a.axrange&&GP(o,i.rangesAltered),a.ticks&&o.push(Au.doTicksRelayout),a.modebar&&o.push(Au.doModeBar),a.camera&&o.push(Au.doCamera),a.colorbars&&o.push(Au.doColorBars),o.push(jM)),o.push(Qo.rehover,Qo.redrag,Qo.reselect),ap.add(e,HM,[e,i.undoit],HM,[e,i.redoit]);var s=Sa.syncOrAsync(o,e);return(!s||!s.then)&&(s=Promise.resolve(e)),s.then(function(){return e.emit(\"plotly_relayout\",i.eventData),e})}function Qhe(e,t,r){var n=e._fullLayout;if(!t.axrange)return!1;for(var i in t)if(i!==\"axrange\"&&t[i])return!1;var a,o,s=function(d,v){return Sa.coerce(a,o,Tdt,d,v)},l={};for(var u in r.rangesAltered){var c=Vv.id2name(u);if(a=e.layout[c],o=n[c],wdt(a,o,s,l),o._matchGroup){for(var f in o._matchGroup)if(f!==u){var h=n[Vv.id2name(f)];h.autorange=o.autorange,h.range=o.range.slice(),h._input.range=o.range.slice()}}}return!0}function GP(e,t){var r=t?function(n){var i=[],a=!0;for(var o in t){var s=Vv.getFromId(n,o);if(i.push(o),(s.ticklabelposition||\"\").indexOf(\"inside\")!==-1&&s._anchorAxis&&i.push(s._anchorAxis._id),s._matchGroup)for(var l in s._matchGroup)t[l]||i.push(l)}return Vv.draw(n,i,{skipTitle:a})}:function(n){return Vv.draw(n,\"redraw\")};e.push(Edt,Au.doAutoRangeAndConstraints,r,Au.drawData,Au.finalDraw)}var ede=/^[xyz]axis[0-9]*\\.range(\\[[0|1]\\])?$/,tde=/^[xyz]axis[0-9]*\\.autorange$/,qdt=/^[xyz]axis[0-9]*\\.domain(\\[[0|1]\\])?$/;function rde(e,t){var r=e.layout,n=e._fullLayout,i=n._guiEditing,a=DP(n._preGUI,i),o=Object.keys(t),s=Vv.list(e),l=Sa.extendDeepAll({},t),u={},c,f,h;for(o=Object.keys(t),f=0;f<o.length;f++)if(o[f].indexOf(\"allaxes\")===0){for(h=0;h<s.length;h++){var d=s[h]._id.slice(1),v=d.indexOf(\"scene\")!==-1?d+\".\":\"\",_=o[f].replace(\"allaxes\",v+s[h]._name);t[_]||(t[_]=t[o[f]])}delete t[o[f]]}var b=v_.layoutFlags(),p={},k={};function E(pt,Zt){if(Array.isArray(pt)){pt.forEach(function(lt){E(lt,Zt)});return}if(!(pt in t||vh.hasParent(t,pt))){var st=a(r,pt);pt in k||(k[pt]=Ly(st.get())),Zt!==void 0&&st.set(Zt)}}var S={},L;function x(pt){var Zt=Vv.name2id(pt.split(\".\")[0]);return S[Zt]=1,Zt}for(var C in t){if(vh.hasParent(t,C))throw new Error(\"cannot set \"+C+\" and a parent attribute simultaneously\");for(var M=a(r,C),g=t[C],P=M.parts.length,T=P-1;T>0&&typeof M.parts[T]!=\"string\";)T--;var z=M.parts[T],O=M.parts[T-1]+\".\"+z,V=M.parts.slice(0,T).join(\".\"),G=Ec(e.layout,V).get(),Z=Ec(n,V).get(),j=M.get();if(g!==void 0){p[C]=g,k[C]=z===\"reverse\"?g:Ly(j);var N=VP.getLayoutValObject(n,M.parts);if(N&&N.impliedEdits&&g!==null)for(var H in N.impliedEdits)E(Sa.relativeAttr(C,H),N.impliedEdits[H]);if([\"width\",\"height\"].indexOf(C)!==-1)if(g){E(\"autosize\",null);var te=C===\"height\"?\"width\":\"height\";E(te,n[te])}else n[C]=e._initialAutoSize[C];else if(C===\"autosize\")E(\"width\",g?null:n.width),E(\"height\",g?null:n.height);else if(O.match(ede))x(O),Ec(n,V+\"._inputRange\").set(null);else if(O.match(tde)){x(O),Ec(n,V+\"._inputRange\").set(null);var oe=Ec(n,V).get();oe._inputDomain&&(oe._input.domain=oe._inputDomain.slice())}else O.match(qdt)&&Ec(n,V+\"._inputDomain\").set(null);if(z===\"type\"){L=G;var _e=Z.type===\"linear\"&&g===\"log\",Ee=Z.type===\"log\"&&g===\"linear\";if(_e||Ee){if(!L||!L.range)E(V+\".autorange\",!0);else if(Z.autorange)_e&&(L.range=L.range[1]>L.range[0]?[1,2]:[2,1]);else{var Ce=L.range[0],me=L.range[1];_e?(Ce<=0&&me<=0&&E(V+\".autorange\",!0),Ce<=0?Ce=me/1e6:me<=0&&(me=Ce/1e6),E(V+\".range[0]\",Math.log(Ce)/Math.LN10),E(V+\".range[1]\",Math.log(me)/Math.LN10)):(E(V+\".range[0]\",Math.pow(10,Ce)),E(V+\".range[1]\",Math.pow(10,me)))}Array.isArray(n._subplots.polar)&&n._subplots.polar.length&&n[M.parts[0]]&&M.parts[1]===\"radialaxis\"&&delete n[M.parts[0]]._subplot.viewInitial[\"radialaxis.range\"],L0.getComponentMethod(\"annotations\",\"convertCoords\")(e,Z,g,E),L0.getComponentMethod(\"images\",\"convertCoords\")(e,Z,g,E)}else E(V+\".autorange\",!0),E(V+\".range\",null);Ec(n,V+\"._inputRange\").set(null)}else if(z.match(kdt)){var ie=Ec(n,C).get(),Se=(g||{}).type;(!Se||Se===\"-\")&&(Se=\"linear\"),L0.getComponentMethod(\"annotations\",\"convertCoords\")(e,ie,Se,E),L0.getComponentMethod(\"images\",\"convertCoords\")(e,ie,Se,E)}var Le=RP.containerArrayMatch(C);if(Le){c=Le.array,f=Le.index;var Ae=Le.property,Fe=N||{editType:\"calc\"};f!==\"\"&&Ae===\"\"&&(RP.isAddVal(g)?k[C]=null:RP.isRemoveVal(g)?k[C]=(Ec(r,c).get()||[])[f]:Sa.warn(\"unrecognized full object value\",t)),v_.update(b,Fe),u[c]||(u[c]={});var Pe=u[c][f];Pe||(Pe=u[c][f]={}),Pe[Ae]=g,delete t[C]}else z===\"reverse\"?(G.range?G.range.reverse():(E(V+\".autorange\",!0),G.range=[1,0]),Z.autorange?b.calc=!0:b.plot=!0):(C===\"dragmode\"&&(g===!1&&j!==!1||g!==!1&&j===!1)||n._has(\"scatter-like\")&&n._has(\"regl\")&&C===\"dragmode\"&&(g===\"lasso\"||g===\"select\")&&!(j===\"lasso\"||j===\"select\")?b.plot=!0:N?v_.update(b,N):b.calc=!0,M.set(g))}}for(c in u){var ge=RP.applyContainerArrayChanges(e,a(r,c),u[c],b,a);ge||(b.plot=!0)}for(var Re in S){L=Vv.getFromId(e,Re);var ce=L&&L._constraintGroup;if(ce){b.calc=!0;for(var Ze in ce)S[Ze]||(Vv.getFromId(e,Ze)._constraintShrinkable=!0)}}(ide(e)||t.height||t.width)&&(b.plot=!0);var ut=n.shapes;for(f=0;f<ut.length;f++)if(ut[f].showlegend){b.calc=!0;break}return(b.plot||b.calc)&&(b.layoutReplot=!0),{flags:b,rangesAltered:S,undoit:k,redoit:p,eventData:l}}function ide(e){var t=e._fullLayout,r=t.width,n=t.height;return e.layout.autosize&&Qo.plotAutoSize(e,e.layout,t),t.width!==r||t.height!==n}function NP(e,t,r,n){e=Sa.getGraphDiv(e),vh.clearPromiseQueue(e),Sa.isPlainObject(t)||(t={}),Sa.isPlainObject(r)||(r={}),Object.keys(t).length&&(e.changed=!0),Object.keys(r).length&&(e.changed=!0);var i=vh.coerceTraceIndices(e,n),a=$he(e,Sa.extendFlat({},t),i),o=a.flags,s=rde(e,Sa.extendFlat({},r)),l=s.flags;(o.calc||l.calc)&&(e.calcdata=void 0),o.clearAxisTypes&&vh.clearAxisTypes(e,i,r);var u=[];l.layoutReplot?u.push(Au.layoutReplot):o.fullReplot?u.push(_l._doPlot):(u.push(Qo.previousPromises),Qhe(e,l,s)||Qo.supplyDefaults(e),o.style&&u.push(Au.doTraceStyle),(o.colorbars||l.colorbars)&&u.push(Au.doColorBars),l.legend&&u.push(Au.doLegend),l.layoutstyle&&u.push(Au.layoutStyles),l.axrange&&GP(u,s.rangesAltered),l.ticks&&u.push(Au.doTicksRelayout),l.modebar&&u.push(Au.doModeBar),l.camera&&u.push(Au.doCamera),u.push(jM)),u.push(Qo.rehover,Qo.redrag,Qo.reselect),ap.add(e,NP,[e,a.undoit,s.undoit,a.traces],NP,[e,a.redoit,s.redoit,a.traces]);var c=Sa.syncOrAsync(u,e);return(!c||!c.then)&&(c=Promise.resolve(e)),c.then(function(){return e.emit(\"plotly_update\",{data:a.eventData,layout:s.eventData}),e})}function KN(e){return function(r){r._fullLayout._guiEditing=!0;var n=e.apply(null,arguments);return r._fullLayout._guiEditing=!1,n}}var Bdt=[{pattern:/^hiddenlabels/,attr:\"legend.uirevision\"},{pattern:/^((x|y)axis\\d*)\\.((auto)?range|title\\.text)/},{pattern:/axis\\d*\\.showspikes$/,attr:\"modebar.uirevision\"},{pattern:/(hover|drag)mode$/,attr:\"modebar.uirevision\"},{pattern:/^(scene\\d*)\\.camera/},{pattern:/^(geo\\d*)\\.(projection|center|fitbounds)/},{pattern:/^(ternary\\d*\\.[abc]axis)\\.(min|title\\.text)$/},{pattern:/^(polar\\d*\\.radialaxis)\\.((auto)?range|angle|title\\.text)/},{pattern:/^(polar\\d*\\.angularaxis)\\.rotation/},{pattern:/^(mapbox\\d*)\\.(center|zoom|bearing|pitch)/},{pattern:/^(map\\d*)\\.(center|zoom|bearing|pitch)/},{pattern:/^legend\\.(x|y)$/,attr:\"editrevision\"},{pattern:/^(shapes|annotations)/,attr:\"editrevision\"},{pattern:/^title\\.text$/,attr:\"editrevision\"}],Ndt=[{pattern:/^selectedpoints$/,attr:\"selectionrevision\"},{pattern:/(^|value\\.)visible$/,attr:\"legend.uirevision\"},{pattern:/^dimensions\\[\\d+\\]\\.constraintrange/},{pattern:/^node\\.(x|y|groups)/},{pattern:/^level$/},{pattern:/(^|value\\.)name$/},{pattern:/colorbar\\.title\\.text$/},{pattern:/colorbar\\.(x|y)$/,attr:\"editrevision\"}];function Bhe(e,t){for(var r=0;r<t.length;r++){var n=t[r],i=e.match(n.pattern);if(i){var a=i[1]||\"\";return{head:a,tail:e.slice(a.length+1),attr:n.attr}}}}function Nhe(e,t){var r=Ec(t,e).get();if(r!==void 0)return r;var n=e.split(\".\");for(n.pop();n.length>1;)if(n.pop(),r=Ec(t,n.join(\".\")+\".uirevision\").get(),r!==void 0)return r;return t.uirevision}function Udt(e,t){for(var r=0;r<t.length;r++)if(t[r]._fullInput.uid===e)return r;return-1}function Vdt(e,t,r){for(var n=0;n<t.length;n++)if(t[n].uid===e)return n;return!t[r]||t[r].uid?-1:r}function Uhe(e,t){var r=Sa.isPlainObject(e),n=Array.isArray(e);return r||n?(r&&Sa.isPlainObject(t)||n&&Array.isArray(t))&&JSON.stringify(e)===JSON.stringify(t):e===t}function Gdt(e,t,r,n){var i=n._preGUI,a,o,s,l,u,c,f,h,d,v,_=[],b={},p={};for(a in i){if(u=Bhe(a,Bdt),u){if(d=u.head,v=u.tail,o=u.attr||d+\".uirevision\",s=Ec(n,o).get(),l=s&&Nhe(o,t),l&&l===s){if(c=i[a],c===null&&(c=void 0),f=Ec(t,a),h=f.get(),Uhe(h,c)){h===void 0&&v===\"autorange\"&&_.push(d),f.set(Ly(Ec(n,a).get()));continue}else if(v===\"autorange\"||v.slice(0,6)===\"range[\"){var k=i[d+\".range[0]\"],E=i[d+\".range[1]\"],S=i[d+\".autorange\"];if(S||S===null&&k===null&&E===null){if(!(d in b)){var L=Ec(t,d).get();b[d]=L&&(L.autorange||L.autorange!==!1&&(!L.range||L.range.length!==2))}if(b[d]){f.set(Ly(Ec(n,a).get()));continue}}}}}else Sa.warn(\"unrecognized GUI edit: \"+a);delete i[a],u&&u.tail.slice(0,6)===\"range[\"&&(p[u.head]=1)}for(var x=0;x<_.length;x++){var C=_[x];if(p[C]){var M=Ec(t,C).get();M&&delete M.autorange}}var g=n._tracePreGUI;for(var P in g){var T=g[P],z=null,O;for(a in T){if(!z){var V=Udt(P,r);if(V<0){delete g[P];break}var G=r[V];O=G._fullInput;var Z=Vdt(P,e,O.index);if(Z<0){delete g[P];break}z=e[Z]}if(u=Bhe(a,Ndt),u){if(u.attr?(s=Ec(n,u.attr).get(),l=s&&Nhe(u.attr,t)):(s=O.uirevision,l=z.uirevision,l===void 0&&(l=t.uirevision)),l&&l===s&&(c=T[a],c===null&&(c=void 0),f=Ec(z,a),h=f.get(),Uhe(h,c))){f.set(Ly(Ec(O,a).get()));continue}}else Sa.warn(\"unrecognized GUI edit: \"+a+\" in trace uid \"+P);delete T[a]}}}function Hdt(e,t,r,n){var i,a;function o(){return _l.addFrames(e,i)}e=Sa.getGraphDiv(e),vh.clearPromiseQueue(e);var s=e._fullData,l=e._fullLayout;if(!Sa.isPlotDiv(e)||!s||!l)a=_l.newPlot(e,t,r,n);else{if(Sa.isPlainObject(t)){var u=t;t=u.data,r=u.layout,n=u.config,i=u.frames}var c=!1;if(n){let O=Sa.extendDeepAll({},e._context);e._context=void 0,Hhe(e,n),c=!vh.collectionsAreEqual(O,e._context)}if(c){let O=e._ev.eventNames().map(V=>[V,e._ev.listeners(V)]);a=_l.newPlot(e,t,r,n).then(()=>{for(let[V,G]of O)G.forEach(Z=>e.on(V,Z));return _l.react(e,t,r,n)})}else{e.data=t||[],vh.cleanData(e.data),e.layout=r||{},vh.cleanLayout(e.layout),Gdt(e.data,e.layout,s,l),Qo.supplyDefaults(e,{skipUpdateCalc:!0});var f=e._fullData,h=e._fullLayout,d=h.datarevision===void 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u=l[o],c=!1;u?u.traces.push(r):(u=l[o]={traceIndices:[],traces:[r]},c=!0);for(var f={orientation:r.x&&!r.y?\"h\":\"v\"},h=0;h<kde.length;h++){var d=kde[h],v=d+\"Found\";if(!u[v]){var _=t[d]!==void 0,b=d===\"orientation\";if((_||c)&&(u[d]=i(d,f[d]),b&&(u.fillDflt=u[d]===\"h\"?\"tonextx\":\"tonexty\"),_&&(u[v]=!0,!c&&(delete u.traces[0][d],b))))for(var p=0;p<u.traces.length-1;p++){var k=u.traces[p];k._input.fill!==k.fill&&(k.fill=u.fillDflt)}}}return u}}});var $p=ye((Vor,Dde)=>{\"use strict\";var Pde=ka(),Ide=pv().hasColorscale,Rde=Qh(),qvt=Ru();Dde.exports=function(t,r,n,i,a,o){var s=qvt.isBubble(t),l=(t.line||{}).color,u;if(o=o||{},l&&(n=l),a(\"marker.symbol\"),a(\"marker.opacity\",s?.7:1),a(\"marker.size\"),o.noAngle||(a(\"marker.angle\"),o.noAngleRef||a(\"marker.angleref\"),o.noStandOff||a(\"marker.standoff\")),a(\"marker.color\",n),Ide(t,\"marker\")&&Rde(t,r,i,a,{prefix:\"marker.\",cLetter:\"c\"}),o.noSelect||(a(\"selected.marker.color\"),a(\"unselected.marker.color\"),a(\"selected.marker.size\"),a(\"unselected.marker.size\")),o.noLine||(l&&!Array.isArray(l)&&r.marker.color!==l?u=l:s?u=Pde.background:u=Pde.defaultLine,a(\"marker.line.color\",u),Ide(t,\"marker.line\")&&Rde(t,r,i,a,{prefix:\"marker.line.\",cLetter:\"c\"}),a(\"marker.line.width\",s?1:0)),s&&(a(\"marker.sizeref\"),a(\"marker.sizemin\"),a(\"marker.sizemode\")),o.gradient){var c=a(\"marker.gradient.type\");c!==\"none\"&&a(\"marker.gradient.color\")}}});var R0=ye((Gor,Fde)=>{\"use strict\";var Bvt=Dr().isArrayOrTypedArray,Nvt=pv().hasColorscale,Uvt=Qh();Fde.exports=function(t,r,n,i,a,o){o||(o={});var s=(t.marker||{}).color;if(s&&s._inputArray&&(s=s._inputArray),a(\"line.color\",n),Nvt(t,\"line\"))Uvt(t,r,i,a,{prefix:\"line.\",cLetter:\"c\"});else{var l=(Bvt(s)?!1:s)||n;a(\"line.color\",l)}a(\"line.width\"),o.noDash||a(\"line.dash\"),o.backoff&&a(\"line.backoff\")}});var tT=ye((Hor,zde)=>{\"use strict\";zde.exports=function(t,r,n){var i=n(\"line.shape\");i===\"spline\"&&n(\"line.smoothing\")}});var D0=ye((jor,Ode)=>{\"use strict\";var Vvt=Dr();Ode.exports=function(e,t,r,n,i){i=i||{},n(\"textposition\"),Vvt.coerceFont(n,\"textfont\",i.font||r.font,i),i.noSelect||(n(\"selected.textfont.color\"),n(\"unselected.textfont.color\"))}});var Rg=ye((Wor,Bde)=>{\"use strict\";var JP=ka(),qde=Dr().isArrayOrTypedArray;function Gvt(e){for(var t=JP.interpolate(e[0][1],e[1][1],.5),r=2;r<e.length;r++){var n=JP.interpolate(e[r-1][1],e[r][1],.5);t=JP.interpolate(t,n,e[r-1][0]/e[r][0])}return t}Bde.exports=function(t,r,n,i,a){a||(a={});var o=!1;if(r.marker){var s=r.marker.color,l=(r.marker.line||{}).color;s&&!qde(s)?o=s:l&&!qde(l)&&(o=l)}var u;if(a.moduleHasFillgradient){var c=i(\"fillgradient.type\");if(c!==\"none\"){i(\"fillgradient.start\"),i(\"fillgradient.stop\");var f=i(\"fillgradient.colorscale\");f&&(u=Gvt(f))}}i(\"fillcolor\",JP.addOpacity((r.line||{}).color||o||u||n,.5))}});var Gde=ye((Xor,Vde)=>{\"use strict\";var Nde=Dr(),Hvt=qa(),jvt=pf(),Wvt=Sm(),rT=Ru(),Xvt=eT(),Zvt=Ig(),Yvt=Lde(),Kvt=$p(),Jvt=R0(),Ude=tT(),$vt=D0(),Qvt=Rg(),ept=Dr().coercePattern;Vde.exports=function(t,r,n,i){function a(d,v){return Nde.coerce(t,r,jvt,d,v)}var o=Xvt(t,r,i,a);if(o||(r.visible=!1),!!r.visible){Zvt(t,r,i,a),a(\"xhoverformat\"),a(\"yhoverformat\"),a(\"zorder\");var s=Yvt(t,r,i,a);i.scattermode===\"group\"&&r.orientation===void 0&&a(\"orientation\",\"v\");var l=!s&&o<Wvt.PTS_LINESONLY?\"lines+markers\":\"lines\";a(\"text\"),a(\"hovertext\"),a(\"mode\",l),rT.hasMarkers(r)&&Kvt(t,r,n,i,a,{gradient:!0}),rT.hasLines(r)&&(Jvt(t,r,n,i,a,{backoff:!0}),Ude(t,r,a),a(\"connectgaps\"),a(\"line.simplify\")),rT.hasText(r)&&(a(\"texttemplate\"),a(\"texttemplatefallback\"),$vt(t,r,i,a));var u=[];(rT.hasMarkers(r)||rT.hasText(r))&&(a(\"cliponaxis\"),a(\"marker.maxdisplayed\"),u.push(\"points\")),a(\"fill\",s?s.fillDflt:\"none\"),r.fill!==\"none\"&&(Qvt(t,r,n,a,{moduleHasFillgradient:!0}),rT.hasLines(r)||Ude(t,r,a),ept(a,\"fillpattern\",r.fillcolor,!1));var c=(r.line||{}).color,f=(r.marker||{}).color;(r.fill===\"tonext\"||r.fill===\"toself\")&&u.push(\"fills\"),a(\"hoveron\",u.join(\"+\")||\"points\"),r.hoveron!==\"fills\"&&(a(\"hovertemplate\"),a(\"hovertemplatefallback\"));var h=Hvt.getComponentMethod(\"errorbars\",\"supplyDefaults\");h(t,r,c||f||n,{axis:\"y\"}),h(t,r,c||f||n,{axis:\"x\",inherit:\"y\"}),Nde.coerceSelectionMarkerOpacity(r,a)}}});var Hb=ye((Zor,Hde)=>{\"use strict\";var tpt=Nb().getAxisGroup;Hde.exports=function(t,r,n,i,a){var o=r.orientation,s=r[{v:\"x\",h:\"y\"}[o]+\"axis\"],l=tpt(n,s)+o,u=n._alignmentOpts||{},c=i(\"alignmentgroup\"),f=u[l];f||(f=u[l]={});var h=f[c];h?h.traces.push(r):h=f[c]={traces:[r],alignmentIndex:Object.keys(f).length,offsetGroups:{}};var d=i(\"offsetgroup\")||\"\",v=h.offsetGroups,_=v[d];r._offsetIndex=0,(a!==\"group\"||d)&&(_||(_=v[d]={offsetIndex:Object.keys(v).length}),r._offsetIndex=_.offsetIndex)}});var aU=ye((Yor,jde)=>{\"use strict\";var rpt=Dr(),ipt=Hb(),npt=pf();jde.exports=function(t,r){var n,i,a,o=r.scattermode;function s(h){return rpt.coerce(i._input,i,npt,h)}if(r.scattermode===\"group\")for(a=0;a<t.length;a++)i=t[a],i.type===\"scatter\"&&(n=i._input,ipt(n,i,r,s,o));for(a=0;a<t.length;a++){var l=t[a];if(l.type===\"scatter\"){var u=l.fill;if(!(u===\"none\"||u===\"toself\")&&(l.opacity=void 0,u===\"tonexty\"||u===\"tonextx\"))for(var c=a-1;c>=0;c--){var f=t[c];if(f.type===\"scatter\"&&f.xaxis===l.xaxis&&f.yaxis===l.yaxis){f.opacity=void 0;break}}}}}});var Xde=ye((Kor,Wde)=>{\"use strict\";var apt=Dr(),opt=X6();Wde.exports=function(e,t){function r(i,a){return apt.coerce(e,t,opt,i,a)}var n=t.barmode===\"group\";t.scattermode===\"group\"&&r(\"scattergap\",n?t.bargap:.2)}});var Dg=ye((Jor,Yde)=>{\"use strict\";var spt=Eo(),Zde=Dr(),lpt=Zde.dateTime2ms,$P=Zde.incrementMonth,upt=fs(),cpt=upt.ONEAVGMONTH;Yde.exports=function(t,r,n,i){if(r.type!==\"date\")return{vals:i};var a=t[n+\"periodalignment\"];if(!a)return{vals:i};var o=t[n+\"period\"],s;if(spt(o)){if(o=+o,o<=0)return{vals:i}}else if(typeof o==\"string\"&&o.charAt(0)===\"M\"){var l=+o.substring(1);if(l>0&&Math.round(l)===l)s=l;else return{vals:i}}for(var u=r.calendar,c=a===\"start\",f=a===\"end\",h=t[n+\"period0\"],d=lpt(h,u)||0,v=[],_=[],b=[],p=i.length,k=0;k<p;k++){var E=i[k],S,L,x;if(s){for(S=Math.round((E-d)/(s*cpt)),x=$P(d,s*S,u);x>E;)x=$P(x,-s,u);for(;x<=E;)x=$P(x,s,u);L=$P(x,-s,u)}else{for(S=Math.round((E-d)/o),x=d+S*o;x>E;)x-=o;for(;x<=E;)x+=o;L=x-o}v[k]=c?L:f?x:(L+x)/2,_[k]=L,b[k]=x}return{vals:v,starts:_,ends:b}}});var F0=ye(($or,Jde)=>{\"use strict\";var oU=pv().hasColorscale,sU=gv(),Kde=Ru();Jde.exports=function(t,r){Kde.hasLines(r)&&oU(r,\"line\")&&sU(t,r,{vals:r.line.color,containerStr:\"line\",cLetter:\"c\"}),Kde.hasMarkers(r)&&(oU(r,\"marker\")&&sU(t,r,{vals:r.marker.color,containerStr:\"marker\",cLetter:\"c\"}),oU(r,\"marker.line\")&&sU(t,r,{vals:r.marker.line.color,containerStr:\"marker.line\",cLetter:\"c\"}))}});var km=ye((Qor,$de)=>{\"use strict\";var Yf=Dr();$de.exports=function(t,r){for(var n=0;n<t.length;n++)t[n].i=n;Yf.mergeArray(r.text,t,\"tx\"),Yf.mergeArray(r.texttemplate,t,\"txt\"),Yf.mergeArray(r.hovertext,t,\"htx\"),Yf.mergeArray(r.customdata,t,\"data\"),Yf.mergeArray(r.textposition,t,\"tp\"),r.textfont&&(Yf.mergeArrayCastPositive(r.textfont.size,t,\"ts\"),Yf.mergeArray(r.textfont.color,t,\"tc\"),Yf.mergeArray(r.textfont.family,t,\"tf\"),Yf.mergeArray(r.textfont.weight,t,\"tw\"),Yf.mergeArray(r.textfont.style,t,\"ty\"),Yf.mergeArray(r.textfont.variant,t,\"tv\"),Yf.mergeArray(r.textfont.textcase,t,\"tC\"),Yf.mergeArray(r.textfont.lineposition,t,\"tE\"),Yf.mergeArray(r.textfont.shadow,t,\"tS\"));var i=r.marker;if(i){Yf.mergeArrayCastPositive(i.size,t,\"ms\"),Yf.mergeArrayCastPositive(i.opacity,t,\"mo\"),Yf.mergeArray(i.symbol,t,\"mx\"),Yf.mergeArray(i.angle,t,\"ma\"),Yf.mergeArray(i.standoff,t,\"mf\"),Yf.mergeArray(i.color,t,\"mc\");var a=i.line;i.line&&(Yf.mergeArray(a.color,t,\"mlc\"),Yf.mergeArrayCastPositive(a.width,t,\"mlw\"));var o=i.gradient;o&&o.type!==\"none\"&&(Yf.mergeArray(o.type,t,\"mgt\"),Yf.mergeArray(o.color,t,\"mgc\"))}}});var z0=ye((esr,eve)=>{\"use strict\";var Qde=Dr();eve.exports=function(t,r){Qde.isArrayOrTypedArray(r.selectedpoints)&&Qde.tagSelected(t,r)}});var O0=ye((tsr,sve)=>{\"use strict\";var tve=Eo(),uU=Dr(),KM=ho(),rve=Dg(),lU=fs().BADNUM,cU=Ru(),fpt=F0(),hpt=km(),dpt=z0();function vpt(e,t){var r=e._fullLayout,n=t._xA=KM.getFromId(e,t.xaxis||\"x\",\"x\"),i=t._yA=KM.getFromId(e,t.yaxis||\"y\",\"y\"),a=n.makeCalcdata(t,\"x\"),o=i.makeCalcdata(t,\"y\"),s=rve(t,n,\"x\",a),l=rve(t,i,\"y\",o),u=s.vals,c=l.vals,f=t._length,h=new Array(f),d=t.ids,v=fU(t,r,n,i),_=!1,b,p,k,E,S,L;ave(r,t);var x=\"x\",C=\"y\",M;if(v)uU.pushUnique(v.traceIndices,t.index),b=v.orientation===\"v\",b?(C=\"s\",M=\"x\"):(x=\"s\",M=\"y\"),S=v.stackgaps===\"interpolate\";else{var g=nve(t,f);ive(e,t,n,i,u,c,g)}var P=!!t.xperiodalignment,T=!!t.yperiodalignment;for(p=0;p<f;p++){var z=h[p]={},O=tve(u[p]),V=tve(c[p]);O&&V?(z[x]=u[p],z[C]=c[p],P&&(z.orig_x=a[p],z.xEnd=s.ends[p],z.xStart=s.starts[p]),T&&(z.orig_y=o[p],z.yEnd=l.ends[p],z.yStart=l.starts[p])):v&&(b?O:V)?(z[M]=b?u[p]:c[p],z.gap=!0,S?(z.s=lU,_=!0):z.s=0):z[x]=z[C]=lU,d&&(z.id=String(d[p]))}if(hpt(h,t),fpt(e,t),dpt(h,t),v){for(p=0;p<h.length;)h[p][M]===lU?h.splice(p,1):p++;if(uU.sort(h,function(N,H){return N[M]-H[M]||N.i-H.i}),_){for(p=0;p<h.length-1&&h[p].gap;)p++;for(L=h[p].s,L||(L=h[p].s=0),k=0;k<p;k++)h[k].s=L;for(E=h.length-1;E>p&&h[E].gap;)E--;for(L=h[E].s,k=h.length-1;k>E;k--)h[k].s=L;for(;p<E;)if(p++,h[p].gap){for(k=p+1;h[k].gap;)k++;for(var G=h[p-1][M],Z=h[p-1].s,j=(h[k].s-Z)/(h[k][M]-G);p<k;)h[p].s=Z+(h[p][M]-G)*j,p++}}}return h}function ive(e,t,r,n,i,a,o){var s=t._length,l=e._fullLayout,u=r._id,c=n._id,f=l._firstScatter[ove(t)]===t.uid,h=(fU(t,l,r,n)||{}).orientation,d=t.fill;r._minDtick=0,n._minDtick=0;var v={padded:!0},_={padded:!0};o&&(v.ppad=_.ppad=o);var b=s<2||i[0]!==i[s-1]||a[0]!==a[s-1];b&&(d===\"tozerox\"||d===\"tonextx\"&&(f||h===\"h\"))?v.tozero=!0:!(t.error_y||{}).visible&&(d===\"tonexty\"||d===\"tozeroy\"||!cU.hasMarkers(t)&&!cU.hasText(t))&&(v.padded=!1,v.ppad=0),b&&(d===\"tozeroy\"||d===\"tonexty\"&&(f||h===\"v\"))?_.tozero=!0:(d===\"tonextx\"||d===\"tozerox\")&&(_.padded=!1),u&&(t._extremes[u]=KM.findExtremes(r,i,v)),c&&(t._extremes[c]=KM.findExtremes(n,a,_))}function nve(e,t){if(cU.hasMarkers(e)){var r=e.marker,n=1.6*(e.marker.sizeref||1),i;if(e.marker.sizemode===\"area\"?i=function(u){return Math.max(Math.sqrt((u||0)/n),3)}:i=function(u){return Math.max((u||0)/n,3)},uU.isArrayOrTypedArray(r.size)){var a={type:\"linear\"};KM.setConvert(a);for(var o=a.makeCalcdata(e.marker,\"size\"),s=new Array(t),l=0;l<t;l++)s[l]=i(o[l]);return s}else return i(r.size)}}function ave(e,t){var r=ove(t),n=e._firstScatter;n[r]||(n[r]=t.uid)}function ove(e){var t=e.stackgroup;return e.xaxis+e.yaxis+e.type+(t?\"-\"+t:\"\")}function fU(e,t,r,n){var i=e.stackgroup;if(i){var a=t._scatterStackOpts[r._id+n._id][i],o=a.orientation===\"v\"?n:r;if(o.type===\"linear\"||o.type===\"log\")return a}}sve.exports={calc:vpt,calcMarkerSize:nve,calcAxisExpansion:ive,setFirstScatter:ave,getStackOpts:fU}});var uve=ye((rsr,lve)=>{\"use strict\";lve.exports=QP;var ppt=Dr().distinctVals;function QP(e,t){this.traces=e,this.sepNegVal=t.sepNegVal,this.overlapNoMerge=t.overlapNoMerge;for(var r=1/0,n=t.posAxis._id.charAt(0),i=[],a=0;a<e.length;a++){for(var o=e[a],s=0;s<o.length;s++){var l=o[s],u=l.p;u===void 0&&(u=l[n]),u!==void 0&&i.push(u)}o[0]&&o[0].width1&&(r=Math.min(o[0].width1,r))}this.positions=i;var c=ppt(i);this.distinctPositions=c.vals,c.vals.length===1&&r!==1/0?this.minDiff=r:this.minDiff=Math.min(c.minDiff,r);var f=(t.posAxis||{}).type;(f===\"category\"||f===\"multicategory\")&&(this.minDiff=1),this.binWidth=this.minDiff,this.bins={}}QP.prototype.put=function(t,r,n){var i=this.getLabel(t,r,n),a=this.bins[i]||0;return this.bins[i]=a+n,a};QP.prototype.get=function(t,r,n){var i=this.getLabel(t,r,n);return this.bins[i]||0};QP.prototype.getLabel=function(t,r,n){var i=n<0&&this.sepNegVal?\"v\":\"^\",a=this.overlapNoMerge?t:Math.round(t/this.binWidth);return i+a+\"g\"+r}});var jb=ye((isr,dve)=>{\"use strict\";var q0=Eo(),p_=Dr().isArrayOrTypedArray,iT=fs().BADNUM,gpt=qa(),JM=ho(),mpt=Nb().getAxisGroup,eI=uve();function ypt(e,t){for(var r=t.xaxis,n=t.yaxis,i=e._fullLayout,a=e._fullData,o=e.calcdata,s=[],l=[],u=0;u<a.length;u++){var c=a[u];if(c.visible===!0&&gpt.traceIs(c,\"bar\")&&c.xaxis===r._id&&c.yaxis===n._id&&(c.orientation===\"h\"?s.push(o[u]):l.push(o[u]),c._computePh))for(var f=e.calcdata[u],h=0;h<f.length;h++)typeof f[h].ph0==\"function\"&&(f[h].ph0=f[h].ph0()),typeof f[h].ph1==\"function\"&&(f[h].ph1=f[h].ph1())}var d={xCat:r.type===\"category\"||r.type===\"multicategory\",yCat:n.type===\"category\"||n.type===\"multicategory\",mode:i.barmode,norm:i.barnorm,gap:i.bargap,groupgap:i.bargroupgap};dU(e,r,n,l,d),dU(e,n,r,s,d)}function dU(e,t,r,n,i){if(n.length){var a,o,s,l,u;switch(bpt(r,n),i.mode){case\"overlay\":hU(e,t,r,n,i);break;case\"group\":for(a=[],o=[],s=0;s<n.length;s++)l=n[s],u=l[0].trace,u.offset===void 0?o.push(l):a.push(l);o.length&&wpt(e,t,r,o,i),a.length&&hU(e,t,r,a,i);break;case\"stack\":case\"relative\":for(a=[],o=[],s=0;s<n.length;s++)l=n[s],u=l[0].trace,u.base===void 0?o.push(l):a.push(l);xpt(o),o.length&&Tpt(e,t,r,o,i),a.length&&hU(e,t,r,a,i);break}_pt(n),Cpt(n,t)}}function _pt(e){var t,r,n,i,a,o,s;for(t=0;t<e.length;t++)r=e[t],n=r[0].trace,i=r[0].t,i.cornerradiusvalue===void 0&&(a=n.marker?n.marker.cornerradius:void 0,a!==void 0&&(o=q0(a)?+a:+a.slice(0,-1),s=q0(a)?\"px\":\"%\",i.cornerradiusvalue=o,i.cornerradiusform=s))}function xpt(e){if(!(e.length<2)){var t,r,n,i,a,o,s;for(t=0;t<e.length&&(r=e[t],n=r[0].trace,a=n.marker?n.marker.cornerradius:void 0,a===void 0);t++);if(a!==void 0)for(o=q0(a)?+a:+a.slice(0,-1),s=q0(a)?\"px\":\"%\",t=0;t<e.length;t++)r=e[t],i=r[0].t,i.cornerradiusvalue=o,i.cornerradiusform=s}}function bpt(e,t){var r,n;for(r=0;r<t.length;r++){var i=t[r],a=i[0].trace,o=a.type===\"funnel\"?a._base:a.base,s,l=a.orientation===\"h\"?a.xcalendar:a.ycalendar,u=e.type===\"category\"||e.type===\"multicategory\"?function(){return null}:e.d2c;if(p_(o)){for(n=0;n<Math.min(o.length,i.length);n++)s=u(o[n],0,l),q0(s)?(i[n].b=+s,i[n].hasB=1):i[n].b=0;for(;n<i.length;n++)i[n].b=0}else{s=u(o,0,l);var c=q0(s);for(s=c?s:0,n=0;n<i.length;n++)i[n].b=s,c&&(i[n].hasB=1)}}}function hU(e,t,r,n,i){for(var a=0;a<n.length;a++){var o=n[a],s=new eI([o],{posAxis:t,sepNegVal:!1,overlapNoMerge:!i.norm});vU(e,t,s,i),i.norm?(hve(s),pU(r,s,i)):fve(r,s)}}function wpt(e,t,r,n,i){var a=new eI(n,{posAxis:t,sepNegVal:!1,overlapNoMerge:!i.norm});vU(e,t,a,i),Ept(a,t),i.norm?(hve(a),pU(r,a,i)):fve(r,a)}function Tpt(e,t,r,n,i){var a=new eI(n,{posAxis:t,sepNegVal:i.mode===\"relative\",overlapNoMerge:!(i.norm||i.mode===\"stack\"||i.mode===\"relative\")});vU(e,t,a,i),Mpt(r,a,i);for(var o=0;o<n.length;o++)for(var s=n[o],l=s[0].t.offsetindex,u=0;u<s.length;u++){var c=s[u];if(c.s!==iT){var f=c.b+c.s===a.get(c.p,l,c.s);f&&(c._outmost=!0)}}i.norm&&pU(r,a,i)}function vU(e,t,r,n){var i=e._fullLayout,a=r.positions,o=r.distinctPositions,s=r.minDiff,l=r.traces,u=l.length,c=a.length!==o.length,f=s*(1-n.gap),h,d,v,_;if(t._id===\"angularaxis\")h=f,d=h*(1-(n.groupgap||0)),v=-d/2;else{var b=mpt(i,t._id)+l[0][0].trace.orientation;_=i._alignmentOpts[b]||{}}for(var p=0;p<u;p++){var k=l[p],E=k[0].trace;if(t._id!==\"angularaxis\"){var S=_[E.alignmentgroup]||{},L=Object.keys(S.offsetGroups||{}).length;L?h=f/L:h=c?f/u:f,d=h*(1-(n.groupgap||0)),L?v=((2*E._offsetIndex+1-L)*h-d)/2:v=c?((2*p+1-u)*h-d)/2:-d/2}var x=k[0].t;x.barwidth=d,x.offsetindex=E._offsetIndex||0,x.poffset=v,x.bargroupwidth=f,x.bardelta=s}r.binWidth=l[0][0].t.barwidth/100,Apt(r),Spt(t,r),t._id===\"angularaxis\"?cve(t,r):cve(t,r,c)}function Apt(e){var t=e.traces,r,n;for(r=0;r<t.length;r++){var i=t[r],a=i[0],o=a.trace,s=a.t,l=o._offset||o.offset,u=s.poffset,c;if(p_(l)){for(c=Array.prototype.slice.call(l,0,i.length),n=0;n<c.length;n++)q0(c[n])||(c[n]=u);for(n=c.length;n<i.length;n++)c.push(u);s.poffset=c}else l!==void 0&&(s.poffset=l);var f=o._width||o.width,h=s.barwidth;if(p_(f)){var d=Array.prototype.slice.call(f,0,i.length);for(n=0;n<d.length;n++)q0(d[n])||(d[n]=h);for(n=d.length;n<i.length;n++)d.push(h);if(s.barwidth=d,l===void 0){for(c=[],n=0;n<i.length;n++)c.push(u+(h-d[n])/2);s.poffset=c}}else f!==void 0&&(s.barwidth=f,l===void 0&&(s.poffset=u+(h-f)/2))}}function Spt(e,t){for(var r=t.traces,n=nT(e),i=0;i<r.length;i++)for(var a=r[i],o=a[0].t,s=o.poffset,l=p_(s),u=o.barwidth,c=p_(u),f=0;f<a.length;f++){var h=a[f],d=h.w=c?u[f]:u;h.p===void 0&&(h.p=h[n],h[\"orig_\"+n]=h[n]);var v=(l?s[f]:s)+d/2;h[n]=h.p+v}}function cve(e,t,r){var n=t.traces,i=t.minDiff,a=i/2;JM.minDtick(e,t.minDiff,t.distinctPositions[0],r);for(var o=0;o<n.length;o++){var s=n[o],l=s[0],u=l.trace,c=[],f,h,d,v;for(v=0;v<s.length;v++)f=s[v],h=f.p-a,d=f.p+a,c.push(h,d);if(u.width||u.offset){var _=l.t,b=_.poffset,p=_.barwidth,k=p_(b),E=p_(p);for(v=0;v<s.length;v++){f=s[v];var S=k?b[v]:b,L=E?p[v]:p;h=f.p+S,d=h+L,c.push(h,d)}}u._extremes[e._id]=JM.findExtremes(e,c,{padded:!1})}}function fve(e,t){for(var r=t.traces,n=nT(e),i=0;i<r.length;i++){for(var a=r[i],o=a[0].trace,s=o.type===\"scatter\",l=o.orientation===\"v\",u=[],c=!1,f=0;f<a.length;f++){var h=a[f],d=s?0:h.b,v=s?l?h.y:h.x:d+h.s;h[n]=v,u.push(v),h.hasB&&u.push(d),(!h.hasB||!h.b)&&(c=!0)}o._extremes[e._id]=JM.findExtremes(e,u,{tozero:c,padded:!0})}}function Mpt(e,t,r){var n=nT(e),i=t.traces,a,o,s,l,u,c,f;for(l=0;l<i.length;l++)if(a=i[l],o=a[0].trace,o.type===\"funnel\")for(f=a[0].t.offsetindex,u=0;u<a.length;u++)c=a[u],c.s!==iT&&t.put(c.p,f,-.5*c.s);for(l=0;l<i.length;l++){a=i[l],o=a[0].trace,s=o.type===\"funnel\",f=o.type===\"barpolar\"?0:a[0].t.offsetindex;var h=[];for(u=0;u<a.length;u++)if(c=a[u],c.s!==iT){var d;s?d=c.s:d=c.s+c.b;var v=t.put(c.p,f,d),_=v+d;c.b=v,c[n]=_,r.norm||(h.push(_),c.hasB&&h.push(v))}r.norm||(o._extremes[e._id]=JM.findExtremes(e,h,{tozero:!0,padded:!0}))}}function hve(e){for(var t=e.traces,r=0;r<t.length;r++)for(var n=t[r],i=n[0].t.offsetindex,a=0;a<n.length;a++){var o=n[a];o.s!==iT&&e.put(o.p,i,o.b+o.s)}}function Ept(e,t){for(var r=e.traces,n=0;n<r.length;n++){var i=r[n],a=i[0].trace,o=i[0].t.offsetindex;if(a.base===void 0)for(var s=new eI([i],{posAxis:t,sepNegVal:!0,overlapNoMerge:!0}),l=0;l<i.length;l++){var u=i[l];if(u.p!==iT){var c=s.put(u.p,o,u.b+u.s);c&&(u.b=c)}}}}function pU(e,t,r){var n=t.traces,i=nT(e),a=r.norm===\"fraction\"?1:100,o=a/1e9,s=e.l2c(e.c2l(0)),l=r.mode===\"stack\"?a:s;function u(x){return q0(e.c2l(x))&&(x<s-o||x>l+o||!q0(s))}for(var c=0;c<n.length;c++){for(var f=n[c],h=f[0].t.offsetindex,d=f[0].trace,v=[],_=!1,b=!1,p=0;p<f.length;p++){var k=f[p];if(k.s!==iT){var E=Math.abs(a/t.get(k.p,h,k.s));k.b*=E,k.s*=E;var S=k.b,L=S+k.s;k[i]=L,v.push(L),b=b||u(L),k.hasB&&(v.push(S),b=b||u(S)),(!k.hasB||!k.b)&&(_=!0)}}d._extremes[e._id]=JM.findExtremes(e,v,{tozero:_,padded:b})}}function kpt(e,t,r,n){for(var i=nT(n),a=0;a<e.length;a++)for(var o=e[a],s=0;s<o.length;s++){var l=o[s],u=l[i];l._sMin=t[u],l._sMax=r[u]}}function Cpt(e,t){var r=nT(t),n={},i,a,o,s=1/0,l=-1/0;for(i=0;i<e.length;i++)for(o=e[i],a=0;a<o.length;a++){var u=o[a].p;q0(u)&&(s=Math.min(s,u),l=Math.max(l,u))}var c=1e4/(l-s),f=n.round=function(M){return String(Math.round(c*(M-s)))},h={},d={},v=e.some(function(M){var g=M[0].trace;return\"marker\"in g&&g.marker.cornerradius});for(i=0;i<e.length;i++){o=e[i],o[0].t.extents=n;var _=o[0].t.poffset,b=p_(_);for(a=0;a<o.length;a++){var p=o[a],k=p[r]-p.w/2;if(q0(k)){var E=p[r]+p.w/2,S=f(p.p);n[S]?n[S]=[Math.min(k,n[S][0]),Math.max(E,n[S][1])]:n[S]=[k,E]}if(p.p0=p.p+(b?_[a]:_),p.p1=p.p0+p.w,p.s0=p.b,p.s1=p.s0+p.s,v){var L=Math.min(p.s0,p.s1)||0,x=Math.max(p.s0,p.s1)||0,C=p[r];h[C]=C in h?Math.min(h[C],L):L,d[C]=C in d?Math.max(d[C],x):x}}}v&&kpt(e,h,d,t)}function nT(e){return e._id.charAt(0)}dve.exports={crossTraceCalc:ypt,setGroupPositions:dU}});var mve=ye((nsr,gve)=>{\"use strict\";var vve=O0(),pve=jb().setGroupPositions;function Lpt(e,t){for(var r=t.xaxis,n=t.yaxis,i=e._fullLayout,a=e._fullData,o=e.calcdata,s=[],l=[],u=0;u<a.length;u++){var c=a[u];c.visible===!0&&c.type===\"scatter\"&&c.xaxis===r._id&&c.yaxis===n._id&&(c.orientation===\"h\"?s.push(o[u]):c.orientation===\"v\"&&l.push(o[u]))}var f={mode:i.scattermode,gap:i.scattergap};pve(e,r,n,l,f),pve(e,n,r,s,f)}gve.exports=function(t,r){t._fullLayout.scattermode===\"group\"&&Lpt(t,r);var n=r.xaxis,i=r.yaxis,a=n._id+i._id,o=t._fullLayout._scatterStackOpts[a];if(o){var s=t.calcdata,l,u,c,f,h,d,v,_,b,p,k,E,S,L,x;for(var C in o){p=o[C];var M=p.traceIndices;if(M.length){for(k=p.stackgaps===\"interpolate\",E=p.groupnorm,p.orientation===\"v\"?(S=\"x\",L=\"y\"):(S=\"y\",L=\"x\"),x=new Array(M.length),l=0;l<x.length;l++)x[l]=!1;d=s[M[0]];var g=new Array(d.length);for(l=0;l<d.length;l++)g[l]=d[l][S];for(l=1;l<M.length;l++){for(h=s[M[l]],u=c=0;u<h.length;u++){for(v=h[u][S];v>g[c]&&c<g.length;c++)gU(h,u,g[c],l,x,k,S),u++;if(v!==g[c]){for(f=0;f<l;f++)gU(s[M[f]],c,v,f,x,k,S);g.splice(c,0,v)}c++}for(;c<g.length;c++)gU(h,u,g[c],l,x,k,S),u++}var P=g.length;for(u=0;u<d.length;u++){for(_=d[u][L]=d[u].s,l=1;l<M.length;l++)h=s[M[l]],h[0].trace._rawLength=h[0].trace._length,h[0].trace._length=P,_+=h[u].s,h[u][L]=_;if(E)for(b=(E===\"fraction\"?_:_/100)||1,l=0;l<M.length;l++){var T=s[M[l]][u];T[L]/=b,T.sNorm=T.s/b}}for(l=0;l<M.length;l++){h=s[M[l]];var z=h[0].trace,O=vve.calcMarkerSize(z,z._rawLength),V=Array.isArray(O);if(O&&x[l]||V){var G=O;for(O=new Array(P),u=0;u<P;u++)O[u]=h[u].gap?0:V?G[h[u].i]:G}var Z=new Array(P),j=new Array(P);for(u=0;u<P;u++)Z[u]=h[u].x,j[u]=h[u].y;vve.calcAxisExpansion(t,z,n,i,Z,j,O),h[0].t.orientation=p.orientation}}}}};function gU(e,t,r,n,i,a,o){i[n]=!0;var s={i:null,gap:!0,s:0};if(s[o]=r,e.splice(t,0,s),t&&r===e[t-1][o]){var l=e[t-1];s.s=l.s,s.i=l.i,s.gap=l.gap}else a&&(s.s=Ppt(e,t,r,o));t||(e[0].t=e[1].t,e[0].trace=e[1].trace,delete e[1].t,delete e[1].trace)}function Ppt(e,t,r,n){var i=e[t-1],a=e[t+1];return a?i?i.s+(a.s-i.s)*(r-i[n])/(a[n]-i[n]):a.s:i.s}});var yU=ye((asr,Tve)=>{\"use strict\";var Ipt=So(),bve=fs(),$M=bve.BADNUM,wve=bve.LOG_CLIP,yve=wve+.5,_ve=wve-.5,tI=Dr(),Rpt=tI.segmentsIntersect,xve=tI.constrain,mU=Sm();Tve.exports=function(t,r){var n=r.trace||{},i=r.xaxis,a=r.yaxis,o=i.type===\"log\",s=a.type===\"log\",l=i._length,u=a._length,c=r.backoff,f=n.marker,h=r.connectGaps,d=r.baseTolerance,v=r.shape,_=v===\"linear\",b=n.fill&&n.fill!==\"none\",p=[],k=mU.minTolerance,E=t.length,S=new Array(E),L=0,x,C,M,g,P,T,z,O,V,G,Z,j,N,H,te,oe;function _e(dt){var Ge=t[dt];if(!Ge)return!1;var Je=r.linearized?i.l2p(Ge.x):i.c2p(Ge.x),je=r.linearized?a.l2p(Ge.y):a.c2p(Ge.y);if(Je===$M){if(o&&(Je=i.c2p(Ge.x,!0)),Je===$M)return!1;s&&je===$M&&(Je*=Math.abs(i._m*u*(i._m>0?yve:_ve)/(a._m*l*(a._m>0?yve:_ve)))),Je*=1e3}if(je===$M){if(s&&(je=a.c2p(Ge.y,!0)),je===$M)return!1;je*=1e3}return[Je,je]}function Ee(dt,Ge,Je,je){var tt=Je-dt,xt=je-Ge,Ie=.5-dt,xe=.5-Ge,ke=tt*tt+xt*xt,vt=tt*Ie+xt*xe;if(vt>0&&vt<ke){var ir=Ie*xt-xe*tt;if(ir*ir<ke)return!0}}var Ce,me;function ie(dt,Ge){var Je=dt[0]/l,je=dt[1]/u,tt=Math.max(0,-Je,Je-1,-je,je-1);return tt&&Ce!==void 0&&Ee(Je,je,Ce,me)&&(tt=0),tt&&Ge&&Ee(Je,je,Ge[0]/l,Ge[1]/u)&&(tt=0),(1+mU.toleranceGrowth*tt)*d}function Se(dt,Ge){var Je=dt[0]-Ge[0],je=dt[1]-Ge[1];return Math.sqrt(Je*Je+je*je)}var Le=mU.maxScreensAway,Ae=-l*Le,Fe=l*(1+Le),Pe=-u*Le,ge=u*(1+Le),Re=[[Ae,Pe,Fe,Pe],[Fe,Pe,Fe,ge],[Fe,ge,Ae,ge],[Ae,ge,Ae,Pe]],ce,Ze,ut,pt,Zt,st;function lt(dt,Ge){for(var Je=[],je=0,tt=0;tt<4;tt++){var xt=Re[tt],Ie=Rpt(dt[0],dt[1],Ge[0],Ge[1],xt[0],xt[1],xt[2],xt[3]);Ie&&(!je||Math.abs(Ie.x-Je[0][0])>1||Math.abs(Ie.y-Je[0][1])>1)&&(Ie=[Ie.x,Ie.y],je&&Se(Ie,dt)<Se(Je[0],dt)?Je.unshift(Ie):Je.push(Ie),je++)}return Je}function Gt(dt){if(dt[0]<Ae||dt[0]>Fe||dt[1]<Pe||dt[1]>ge)return[xve(dt[0],Ae,Fe),xve(dt[1],Pe,ge)]}function Nt(dt,Ge){if(dt[0]===Ge[0]&&(dt[0]===Ae||dt[0]===Fe)||dt[1]===Ge[1]&&(dt[1]===Pe||dt[1]===ge))return!0}function Jt(dt,Ge){var Je=[],je=Gt(dt),tt=Gt(Ge);return 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hT=ye((dsr,zve)=>{\"use strict\";var Fve=Ru();zve.exports=function(t,r){var n=t.cd,i=t.xaxis,a=t.yaxis,o=[],s=n[0].trace,l,u,c,f,h=!Fve.hasMarkers(s)&&!Fve.hasText(s);if(h)return[];if(r===!1)for(l=0;l<n.length;l++)n[l].selected=0;else for(l=0;l<n.length;l++)u=n[l],c=i.c2p(u.x),f=a.c2p(u.y),u.i!==null&&r.contains([c,f],!1,l,t)?(o.push({pointNumber:u.i,x:i.c2d(u.x),y:a.c2d(u.y)}),u.selected=1):u.selected=0;return o}});var qve=ye((vsr,Ove)=>{\"use strict\";Ove.exports={xaxis:{valType:\"subplotid\",dflt:\"x\",editType:\"calc+clearAxisTypes\"},yaxis:{valType:\"subplotid\",dflt:\"y\",editType:\"calc+clearAxisTypes\"}}});var SU=ye((psr,Uve)=>{\"use strict\";var e4=qa().traceIs,AU=R3();Uve.exports=function(t,r,n,i){n(\"autotypenumbers\",i.autotypenumbersDflt);var a=n(\"type\",(i.splomStash||{}).type);a===\"-\"&&(Wpt(r,i.data),r.type===\"-\"?r.type=\"linear\":t.type=r.type)};function Wpt(e,t){if(e.type===\"-\"){var r=e._id,n=r.charAt(0),i;r.indexOf(\"scene\")!==-1&&(r=n);var a=Xpt(t,r,n);if(a){if(a.type===\"histogram\"&&n==={v:\"y\",h:\"x\"}[a.orientation||\"v\"]){e.type=\"linear\";return}var o=n+\"calendar\",s=a[o],l={noMultiCategory:!e4(a,\"cartesian\")||e4(a,\"noMultiCategory\")};if(a.type===\"box\"&&a._hasPreCompStats&&n==={h:\"x\",v:\"y\"}[a.orientation||\"v\"]&&(l.noMultiCategory=!0),l.autotypenumbers=e.autotypenumbers,Nve(a,n)){var u=Bve(a),c=[];for(i=0;i<t.length;i++){var f=t[i];!e4(f,\"box-violin\")||(f[n+\"axis\"]||n)!==r||(f[u]!==void 0?c.push(f[u][0]):f.name!==void 0?c.push(f.name):c.push(\"text\"),f[o]!==s&&(s=void 0))}e.type=AU(c,s,l)}else if(a.type===\"splom\"){var h=a.dimensions,d=h[a._axesDim[r]];d.visible&&(e.type=AU(d.values,s,l))}else e.type=AU(a[n]||[a[n+\"0\"]],s,l)}}}function Xpt(e,t,r){for(var n=0;n<e.length;n++){var i=e[n];if(i.type===\"splom\"&&i._length>0&&(i[\"_\"+r+\"axes\"]||{})[t])return i;if((i[r+\"axis\"]||r)===t){if(Nve(i,r))return i;if((i[r]||[]).length||i[r+\"0\"])return i}}}function Bve(e){return{v:\"x\",h:\"y\"}[e.orientation||\"v\"]}function Nve(e,t){var r=Bve(e),n=e4(e,\"box-violin\"),i=e4(e._fullInput||{},\"candlestick\");return n&&!i&&t===r&&e[r]===void 0&&e[r+\"0\"]===void 0}});var oI=ye((gsr,Vve)=>{\"use strict\";var Zpt=vv().isTypedArraySpec;function Ypt(e,t){var r=t.dataAttr||e._id.charAt(0),n={},i,a,o;if(t.axData)i=t.axData;else for(i=[],a=0;a<t.data.length;a++){var s=t.data[a];s[r+\"axis\"]===e._id&&i.push(s)}for(a=0;a<i.length;a++){var l=i[a][r];for(o=0;o<l.length;o++){var u=l[o];u!=null&&(n[u]=1)}}return Object.keys(n)}Vve.exports=function(t,r,n,i){if(r.type===\"category\"){var a=t.categoryarray,o=Array.isArray(a)&&a.length>0||Zpt(a),s;o&&(s=\"array\");var l=n(\"categoryorder\",s),u;l===\"array\"&&(u=n(\"categoryarray\")),!o&&l===\"array\"&&(l=r.categoryorder=\"trace\"),l===\"trace\"?r._initialCategories=[]:l===\"array\"?r._initialCategories=u.slice():(u=Ypt(r,i).sort(),l===\"category ascending\"?r._initialCategories=u:l===\"category 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S=o(\"zerolinelayer\"),L=o(\"zerolinecolor\",a),x=o(\"zerolinewidth\"),C=n(\"zeroline\",i.showGrid||!!L||!!x);C||(delete r.zerolinelayer,delete r.zerolinecolor,delete r.zerolinewidth)}}});var i4=ye((ysr,Kve)=>{\"use strict\";var jve=Eo(),$pt=qa(),r4=Dr(),Qpt=vl(),e0t=Yd(),MU=Rd(),Wve=bb(),Xve=M3(),t0t=e_(),r0t=t_(),i0t=oI(),n0t=t4(),a0t=xB(),Zve=ym(),sI=hd().WEEKDAY_PATTERN,o0t=hd().HOUR_PATTERN;Kve.exports=function(t,r,n,i,a){var o=i.letter,s=i.font||{},l=i.splomStash||{},u=n(\"visible\",!i.visibleDflt),c=r._template||{},f=r.type||c.type||\"-\",h;if(f===\"date\"){var d=$pt.getComponentMethod(\"calendars\",\"handleDefaults\");d(t,r,\"calendar\",i.calendar),i.noTicklabelmode||(h=n(\"ticklabelmode\"))}!i.noTicklabelindex&&(f===\"date\"||f===\"linear\")&&n(\"ticklabelindex\");var v=\"\";(!i.noTicklabelposition||f===\"multicategory\")&&(v=r4.coerce(t,r,{ticklabelposition:{valType:\"enumerated\",dflt:\"outside\",values:h===\"period\"?[\"outside\",\"inside\"]:o===\"x\"?[\"outside\",\"inside\",\"outside left\",\"inside left\",\"outside right\",\"inside right\"]:[\"outside\",\"inside\",\"outside top\",\"inside top\",\"outside bottom\",\"inside bottom\"]}},\"ticklabelposition\")),i.noTicklabeloverflow||n(\"ticklabeloverflow\",v.indexOf(\"inside\")!==-1?\"hide past domain\":f===\"category\"||f===\"multicategory\"?\"allow\":\"hide past div\"),Zve(r,a),a0t(t,r,n,i),i0t(t,r,n,i),i.noHover||(f!==\"category\"&&n(\"hoverformat\"),i.noUnifiedhovertitle||n(\"unifiedhovertitle.text\"));var _=n(\"color\"),b=_!==MU.color.dflt?_:s.color,p=l.label||a._dfltTitle[o];if(r0t(t,r,n,f,i),!u)return r;n(\"title.text\",p),r4.coerceFont(n,\"title.font\",s,{overrideDflt:{size:r4.bigFont(s.size),color:b}}),Wve(t,r,n,f);var k=i.hasMinor;if(k&&(Qpt.newContainer(r,\"minor\"),Wve(t,r,n,f,{isMinor:!0})),t0t(t,r,n,f,i),Xve(t,r,n,i),k){var E=i.isMinor;i.isMinor=!0,Xve(t,r,n,i),i.isMinor=E}n0t(t,r,n,{dfltColor:_,bgColor:i.bgColor,showGrid:i.showGrid,hasMinor:k,attributes:MU}),k&&!r.minor.ticks&&!r.minor.showgrid&&delete r.minor,(r.showline||r.ticks)&&n(\"mirror\");var S=f===\"multicategory\";if(!i.noTickson&&(f===\"category\"||S)&&(r.ticks||r.showgrid)&&(S?(n(\"tickson\",\"boundaries\"),delete r.ticklabelposition):n(\"tickson\")),S){var L=n(\"showdividers\");L&&(n(\"dividercolor\"),n(\"dividerwidth\"))}if(f===\"date\")if(e0t(t,r,{name:\"rangebreaks\",inclusionAttr:\"enabled\",handleItemDefaults:s0t}),!r.rangebreaks.length)delete r.rangebreaks;else{for(var x=0;x<r.rangebreaks.length;x++)if(r.rangebreaks[x].pattern===sI){r._hasDayOfWeekBreaks=!0;break}if(Zve(r,a),a._has(\"scattergl\")||a._has(\"splom\"))for(var C=0;C<i.data.length;C++){var M=i.data[C];(M.type===\"scattergl\"||M.type===\"splom\")&&(M.visible=!1,r4.warn(M.type+\" traces do not work on axes with rangebreaks. 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l0t[e.slice(0,3).toLowerCase()]}});var uI=ye((_sr,Jve)=>{\"use strict\";var u0t=Eo(),lI=Dr();Jve.exports=function(t,r,n,i){var a=i.counterAxes||[],o=i.overlayableAxes||[],s=i.letter,l=i.grid,u=i.overlayingDomain,c,f,h,d,v,_;l&&(f=l._domains[s][l._axisMap[r._id]],c=l._anchors[r._id],f&&(h=l[s+\"side\"].split(\" \")[0],d=l.domain[s][h===\"right\"||h===\"top\"?1:0])),f=f||[0,1],c=c||(u0t(t.position)?\"free\":a[0]||\"free\"),h=h||(s===\"x\"?\"bottom\":\"left\"),d=d||0,v=0,_=!1;var b=lI.coerce(t,r,{anchor:{valType:\"enumerated\",values:[\"free\"].concat(a),dflt:c}},\"anchor\"),p=lI.coerce(t,r,{side:{valType:\"enumerated\",values:s===\"x\"?[\"bottom\",\"top\"]:[\"left\",\"right\"],dflt:h}},\"side\");if(b===\"free\"){if(s===\"y\"){var k=n(\"autoshift\");k&&(d=p===\"left\"?u[0]:u[1],_=r.automargin?r.automargin:!0,v=p===\"left\"?-3:3),n(\"shift\",v)}n(\"position\",d)}n(\"automargin\",_);var E=!1;if(o.length&&(E=lI.coerce(t,r,{overlaying:{valType:\"enumerated\",values:[!1].concat(o),dflt:!1}},\"overlaying\")),!E){var S=n(\"domain\",f);S[0]>S[1]-1/4096&&(r.domain=f),lI.noneOrAll(t.domain,r.domain,f),r.tickmode===\"sync\"&&(r.tickmode=\"auto\")}return n(\"layer\"),r}});var ope=ye((xsr,ape)=>{\"use strict\";var Wb=Dr(),$ve=ka(),c0t=ip().isUnifiedHover,f0t=HB(),Qve=vl(),h0t=c3(),epe=Rd(),d0t=SU(),tpe=i4(),v0t=Nb(),rpe=uI(),kU=hf(),Cm=kU.id2name,ipe=kU.name2id,p0t=hd().AX_ID_PATTERN,npe=qa(),cI=npe.traceIs,EU=npe.getComponentMethod;function fI(e,t,r){Array.isArray(e[t])?e[t].push(r):e[t]=[r]}ape.exports=function(t,r,n){var i=r.autotypenumbers,a={},o={},s={},l={},u={},c={},f={},h={},d={},v={},_,b;for(_=0;_<n.length;_++){var p=n[_];if(cI(p,\"cartesian\")){var k;if(p.xaxis)k=Cm(p.xaxis),fI(a,k,p);else if(p.xaxes)for(b=0;b<p.xaxes.length;b++)fI(a,Cm(p.xaxes[b]),p);var E;if(p.yaxis)E=Cm(p.yaxis),fI(a,E,p);else if(p.yaxes)for(b=0;b<p.yaxes.length;b++)fI(a,Cm(p.yaxes[b]),p);if(p.type===\"funnel\"?p.orientation===\"h\"?(k&&(o[k]=!0),E&&(f[E]=!0)):E&&(s[E]=!0):p.type===\"image\"?(E&&(h[E]=!0),k&&(h[k]=!0)):(E&&(u[E]=!0,c[E]=!0),(!cI(p,\"carpet\")||p.type===\"carpet\"&&!p._cheater)&&k&&(l[k]=!0)),p.type===\"carpet\"&&p._cheater&&k&&(o[k]=!0),cI(p,\"2dMap\")&&(d[k]=!0,d[E]=!0),cI(p,\"oriented\")){var S=p.orientation===\"h\"?E:k;v[S]=!0}}}var L=r._subplots,x=L.xaxis,C=L.yaxis,M=Wb.simpleMap(x,Cm),g=Wb.simpleMap(C,Cm),P=M.concat(g),T=$ve.background;x.length&&C.length&&(T=Wb.coerce(t,r,h0t,\"plot_bgcolor\"));var z=$ve.combine(T,r.paper_bgcolor),O,V,G,Z,j;function N(){var St=a[O]||[];j._traceIndices=St.map(function(Qt){return Qt.index}),j._annIndices=[],j._shapeIndices=[],j._selectionIndices=[],j._imgIndices=[],j._subplotsWith=[],j._counterAxes=[],j._name=j._attr=O,j._id=V}function H(St,Qt){return Wb.coerce(Z,j,epe,St,Qt)}function te(St,Qt){return Wb.coerce2(Z,j,epe,St,Qt)}function oe(St){return St===\"x\"?C:x}function _e(St,Qt){for(var Vt=St===\"x\"?M:g,_t=[],It=0;It<Vt.length;It++){var mt=Vt[It];mt!==Qt&&!(t[mt]||{}).overlaying&&_t.push(ipe(mt))}return _t}var Ee={x:oe(\"x\"),y:oe(\"y\")},Ce=Ee.x.concat(Ee.y),me={},ie=[];function Se(){var St=Z.matches;p0t.test(St)&&Ce.indexOf(St)===-1&&(me[St]=Z.type,ie=Object.keys(me))}var Le=f0t(t,r),Ae=c0t(Le);for(_=0;_<P.length;_++){O=P[_],V=ipe(O),G=O.charAt(0),Wb.isPlainObject(t[O])||(t[O]={}),Z=t[O],j=Qve.newContainer(r,O,G+\"axis\"),N();var Fe=G===\"x\"&&!l[O]&&o[O]||G===\"y\"&&!u[O]&&s[O],Pe=G===\"y\"&&(!c[O]&&f[O]||h[O]),ge={hasMinor:!0,letter:G,font:r.font,outerTicks:d[O],showGrid:!v[O],data:a[O]||[],bgColor:z,calendar:r.calendar,automargin:!0,visibleDflt:Fe,reverseDflt:Pe,autotypenumbersDflt:i,splomStash:((r._splomAxes||{})[G]||{})[V],noAutotickangles:G===\"y\"};H(\"uirevision\",r.uirevision),d0t(Z,j,H,ge),tpe(Z,j,H,ge,r);var Re=Ae&&G===Le.charAt(0),ce=te(\"spikecolor\",Ae?j.color:void 0),Ze=te(\"spikethickness\",Ae?1.5:void 0),ut=te(\"spikedash\",Ae?\"dot\":void 0),pt=te(\"spikemode\",Ae?\"across\":void 0),Zt=te(\"spikesnap\"),st=H(\"showspikes\",!!Re||!!ce||!!Ze||!!ut||!!pt||!!Zt);st||(delete j.spikecolor,delete j.spikethickness,delete j.spikedash,delete j.spikemode,delete j.spikesnap);var lt=Cm(Z.overlaying),Gt=[0,1];if(r[lt]!==void 0){var Nt=Cm(r[lt].anchor);r[Nt]!==void 0&&(Gt=r[Nt].domain)}rpe(Z,j,H,{letter:G,counterAxes:Ee[G],overlayableAxes:_e(G,O),grid:r.grid,overlayingDomain:Gt}),H(\"title.standoff\"),Se(),j._input=Z}for(_=0;_<ie.length;){V=ie[_++],O=Cm(V),G=O.charAt(0),Wb.isPlainObject(t[O])||(t[O]={}),Z=t[O],j=Qve.newContainer(r,O,G+\"axis\"),N();var 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N=x&&yT.getRefType(S.xref)!==\"domain\"?x._id:\"\",H=C&&yT.getRefType(S.yref)!==\"domain\"?C._id:\"\",te=N+H;xgt.setClipUrl(L,te?\"clip\"+r._uid+te:null,t)}function d(S){return[S.xref,S.x,S.sizex,S.yref,S.y,S.sizey].join(\"_\")}function v(S,L){return S._index-L._index}var _=r._imageLowerLayer.selectAll(\"image\").data(a,d),b=r._imageUpperLayer.selectAll(\"image\").data(n,d);_.enter().append(\"image\"),b.enter().append(\"image\"),_.exit().remove(),b.exit().remove(),_.each(function(S){f.bind(this)(S),h.bind(this)(S)}),b.each(function(S){f.bind(this)(S),h.bind(this)(S)}),_.sort(v),b.sort(v);var p=Object.keys(r._plots);for(s=0;s<p.length;s++){o=p[s];var k=r._plots[o];if(k.imagelayer){var E=k.imagelayer.selectAll(\"image\").data(i[o]||[],d);E.enter().append(\"image\"),E.exit().remove(),E.each(function(S){f.bind(this)(S),h.bind(this)(S)}),E.sort(v)}}}});var L0e=ye((Zsr,C0e)=>{\"use strict\";var k0e=Eo(),wgt=m6();C0e.exports=function(t,r,n,i){r=r||{};var a=n===\"log\"&&r.type===\"linear\",o=n===\"linear\"&&r.type===\"log\";if(a||o){for(var s=t._fullLayout.images,l=r._id.charAt(0),u,c,f=0;f<s.length;f++)if(u=s[f],c=\"images[\"+f+\"].\",u[l+\"ref\"]===r._id){var h=u[l],d=u[\"size\"+l],v=null,_=null;if(a){v=wgt(h,r.range);var b=d/Math.pow(10,v)/2;_=2*Math.log(b+Math.sqrt(1+b*b))/Math.LN10}else v=Math.pow(10,h),_=v*(Math.pow(10,d/2)-Math.pow(10,-d/2));k0e(v)?k0e(_)||(_=null):(v=null,_=null),i(c+l,v),i(c+\"size\"+l,_)}}}});var I0e=ye((Ysr,P0e)=>{\"use strict\";P0e.exports={moduleType:\"component\",name:\"images\",layoutAttributes:HU(),supplyLayoutDefaults:T0e(),includeBasePlot:qM()(\"images\"),draw:E0e(),convertCoords:L0e()}});var _I=ye((Ksr,R0e)=>{\"use strict\";R0e.exports={name:\"updatemenus\",containerClassName:\"updatemenu-container\",headerGroupClassName:\"updatemenu-header-group\",headerClassName:\"updatemenu-header\",headerArrowClassName:\"updatemenu-header-arrow\",dropdownButtonGroupClassName:\"updatemenu-dropdown-button-group\",dropdownButtonClassName:\"updatemenu-dropdown-button\",buttonClassName:\"updatemenu-button\",itemRectClassName:\"updatemenu-item-rect\",itemTextClassName:\"updatemenu-item-text\",menuIndexAttrName:\"updatemenu-active-index\",autoMarginIdRoot:\"updatemenu-\",blankHeaderOpts:{label:\"  \"},minWidth:30,minHeight:30,textPadX:24,arrowPadX:16,rx:2,ry:2,textOffsetX:12,textOffsetY:3,arrowOffsetX:4,gapButtonHeader:5,gapButton:2,activeColor:\"#F4FAFF\",hoverColor:\"#F4FAFF\",arrowSymbol:{left:\"\\u25C4\",right:\"\\u25BA\",up:\"\\u25B2\",down:\"\\u25BC\"}}});var WU=ye((Jsr,F0e)=>{\"use strict\";var Tgt=ec(),Agt=Lh(),Sgt=Ao().extendFlat,Mgt=mc().overrideAll,Egt=E6(),D0e=vl().templatedArray,kgt=D0e(\"button\",{visible:{valType:\"boolean\"},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},args2:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\",dflt:\"\"},execute:{valType:\"boolean\",dflt:!0}});F0e.exports=Mgt(D0e(\"updatemenu\",{_arrayAttrRegexps:[/^updatemenus\\[(0|[1-9][0-9]+)\\]\\.buttons/],visible:{valType:\"boolean\"},type:{valType:\"enumerated\",values:[\"dropdown\",\"buttons\"],dflt:\"dropdown\"},direction:{valType:\"enumerated\",values:[\"left\",\"right\",\"up\",\"down\"],dflt:\"down\"},active:{valType:\"integer\",min:-1,dflt:0},showactive:{valType:\"boolean\",dflt:!0},buttons:kgt,x:{valType:\"number\",min:-2,max:3,dflt:-.05},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"right\"},y:{valType:\"number\",min:-2,max:3,dflt:1},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},pad:Sgt(Egt({editType:\"arraydraw\"}),{}),font:Tgt({}),bgcolor:{valType:\"color\"},bordercolor:{valType:\"color\",dflt:Agt.borderLine},borderwidth:{valType:\"number\",min:0,dflt:1,editType:\"arraydraw\"}}),\"arraydraw\",\"from-root\")});var B0e=ye(($sr,q0e)=>{\"use strict\";var xI=Dr(),z0e=Yd(),O0e=WU(),Cgt=_I(),Lgt=Cgt.name,Pgt=O0e.buttons;q0e.exports=function(t,r){var n={name:Lgt,handleItemDefaults:Igt};z0e(t,r,n)};function Igt(e,t,r){function n(o,s){return xI.coerce(e,t,O0e,o,s)}var i=z0e(e,t,{name:\"buttons\",handleItemDefaults:Rgt}),a=n(\"visible\",i.length>0);a&&(n(\"active\"),n(\"direction\"),n(\"type\"),n(\"showactive\"),n(\"x\"),n(\"y\"),xI.noneOrAll(e,t,[\"x\",\"y\"]),n(\"xanchor\"),n(\"yanchor\"),n(\"pad.t\"),n(\"pad.r\"),n(\"pad.b\"),n(\"pad.l\"),xI.coerceFont(n,\"font\",r.font),n(\"bgcolor\",r.paper_bgcolor),n(\"bordercolor\"),n(\"borderwidth\"))}function Rgt(e,t){function r(i,a){return xI.coerce(e,t,Pgt,i,a)}var n=r(\"visible\",e.method===\"skip\"||Array.isArray(e.args));n&&(r(\"method\"),r(\"args\"),r(\"args2\"),r(\"label\"),r(\"execute\"))}});var V0e=ye((Qsr,U0e)=>{\"use strict\";U0e.exports=Mf;var qg=Oa(),N0e=ka(),_T=So(),bI=Dr();function Mf(e,t,r){this.gd=e,this.container=t,this.id=r,this.position=null,this.translateX=null,this.translateY=null,this.hbar=null,this.vbar=null,this.bg=this.container.selectAll(\"rect.scrollbox-bg\").data([0]),this.bg.exit().on(\".drag\",null).on(\"wheel\",null).remove(),this.bg.enter().append(\"rect\").classed(\"scrollbox-bg\",!0).style(\"pointer-events\",\"all\").attr({opacity:0,x:0,y:0,width:0,height:0})}Mf.barWidth=2;Mf.barLength=20;Mf.barRadius=2;Mf.barPad=1;Mf.barColor=\"#808BA4\";Mf.prototype.enable=function(t,r,n){var i=this.gd._fullLayout,a=i.width,o=i.height;this.position=t;var s=this.position.l,l=this.position.w,u=this.position.t,c=this.position.h,f=this.position.direction,h=f===\"down\",d=f===\"left\",v=f===\"right\",_=f===\"up\",b=l,p=c,k,E,S,L;!h&&!d&&!v&&!_&&(this.position.direction=\"down\",h=!0);var x=h||_;x?(k=s,E=k+b,h?(S=u,L=Math.min(S+p,o),p=L-S):(L=u+p,S=Math.max(L-p,0),p=L-S)):(S=u,L=S+p,d?(E=s+b,k=Math.max(E-b,0),b=E-k):(k=s,E=Math.min(k+b,a),b=E-k)),this._box={l:k,t:S,w:b,h:p};var C=l>b,M=Mf.barLength+2*Mf.barPad,g=Mf.barWidth+2*Mf.barPad,P=s,T=u+c;T+g>o&&(T=o-g);var z=this.container.selectAll(\"rect.scrollbar-horizontal\").data(C?[0]:[]);z.exit().on(\".drag\",null).remove(),z.enter().append(\"rect\").classed(\"scrollbar-horizontal\",!0).call(N0e.fill,Mf.barColor),C?(this.hbar=z.attr({rx:Mf.barRadius,ry:Mf.barRadius,x:P,y:T,width:M,height:g}),this._hbarXMin=P+M/2,this._hbarTranslateMax=b-M):(delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax);var O=c>p,V=Mf.barWidth+2*Mf.barPad,G=Mf.barLength+2*Mf.barPad,Z=s+l,j=u;Z+V>a&&(Z=a-V);var N=this.container.selectAll(\"rect.scrollbar-vertical\").data(O?[0]:[]);N.exit().on(\".drag\",null).remove(),N.enter().append(\"rect\").classed(\"scrollbar-vertical\",!0).call(N0e.fill,Mf.barColor),O?(this.vbar=N.attr({rx:Mf.barRadius,ry:Mf.barRadius,x:Z,y:j,width:V,height:G}),this._vbarYMin=j+G/2,this._vbarTranslateMax=p-G):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var H=this.id,te=k-.5,oe=O?E+V+.5:E+.5,_e=S-.5,Ee=C?L+g+.5:L+.5,Ce=i._topdefs.selectAll(\"#\"+H).data(C||O?[0]:[]);if(Ce.exit().remove(),Ce.enter().append(\"clipPath\").attr(\"id\",H).append(\"rect\"),C||O?(this._clipRect=Ce.select(\"rect\").attr({x:Math.floor(te),y:Math.floor(_e),width:Math.ceil(oe)-Math.floor(te),height:Math.ceil(Ee)-Math.floor(_e)}),this.container.call(_T.setClipUrl,H,this.gd),this.bg.attr({x:s,y:u,width:l,height:c})):(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(_T.setClipUrl,null),delete this._clipRect),C||O){var me=qg.behavior.drag().on(\"dragstart\",function(){qg.event.sourceEvent.preventDefault()}).on(\"drag\",this._onBoxDrag.bind(this));this.container.on(\"wheel\",null).on(\"wheel\",this._onBoxWheel.bind(this)).on(\".drag\",null).call(me);var ie=qg.behavior.drag().on(\"dragstart\",function(){qg.event.sourceEvent.preventDefault(),qg.event.sourceEvent.stopPropagation()}).on(\"drag\",this._onBarDrag.bind(this));C&&this.hbar.on(\".drag\",null).call(ie),O&&this.vbar.on(\".drag\",null).call(ie)}this.setTranslate(r,n)};Mf.prototype.disable=function(){(this.hbar||this.vbar)&&(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(_T.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)};Mf.prototype._onBoxDrag=function(){var t=this.translateX,r=this.translateY;this.hbar&&(t-=qg.event.dx),this.vbar&&(r-=qg.event.dy),this.setTranslate(t,r)};Mf.prototype._onBoxWheel=function(){var t=this.translateX,r=this.translateY;this.hbar&&(t+=qg.event.deltaY),this.vbar&&(r+=qg.event.deltaY),this.setTranslate(t,r)};Mf.prototype._onBarDrag=function(){var t=this.translateX,r=this.translateY;if(this.hbar){var n=t+this._hbarXMin,i=n+this._hbarTranslateMax,a=bI.constrain(qg.event.x,n,i),o=(a-n)/(i-n),s=this.position.w-this._box.w;t=o*s}if(this.vbar){var l=r+this._vbarYMin,u=l+this._vbarTranslateMax,c=bI.constrain(qg.event.y,l,u),f=(c-l)/(u-l),h=this.position.h-this._box.h;r=f*h}this.setTranslate(t,r)};Mf.prototype.setTranslate=function(t,r){var n=this.position.w-this._box.w,i=this.position.h-this._box.h;if(t=bI.constrain(t||0,0,n),r=bI.constrain(r||0,0,i),this.translateX=t,this.translateY=r,this.container.call(_T.setTranslate,this._box.l-this.position.l-t,this._box.t-this.position.t-r),this._clipRect&&this._clipRect.attr({x:Math.floor(this.position.l+t-.5),y:Math.floor(this.position.t+r-.5)}),this.hbar){var a=t/n;this.hbar.call(_T.setTranslate,t+a*this._hbarTranslateMax,r)}if(this.vbar){var o=r/i;this.vbar.call(_T.setTranslate,t,r+o*this._vbarTranslateMax)}}});var $0e=ye((elr,J0e)=>{\"use strict\";var xT=Oa(),s4=Mc(),l4=ka(),bT=So(),e0=Dr(),wI=ru(),Dgt=vl().arrayEditor,H0e=$h().LINE_SPACING,es=_I(),Fgt=V0e();J0e.exports=function(t){var r=t._fullLayout,n=e0.filterVisible(r[es.name]);function i(h){s4.autoMargin(t,Y0e(h))}var a=r._menulayer.selectAll(\"g.\"+es.containerClassName).data(n.length>0?[0]:[]);if(a.enter().append(\"g\").classed(es.containerClassName,!0).style(\"cursor\",\"pointer\"),a.exit().each(function(){xT.select(this).selectAll(\"g.\"+es.headerGroupClassName).each(i)}).remove(),n.length!==0){var o=a.selectAll(\"g.\"+es.headerGroupClassName).data(n,zgt);o.enter().append(\"g\").classed(es.headerGroupClassName,!0);for(var s=e0.ensureSingle(a,\"g\",es.dropdownButtonGroupClassName,function(h){h.style(\"pointer-events\",\"all\")}),l=0;l<n.length;l++){var u=n[l];Vgt(t,u)}var c=\"updatemenus\"+r._uid,f=new Fgt(t,s,c);o.enter().size()&&(s.node().parentNode.appendChild(s.node()),s.call(ZU)),o.exit().each(function(h){s.call(ZU),i(h)}).remove(),o.each(function(h){var d=xT.select(this),v=h.type===\"dropdown\"?s:null;s4.manageCommandObserver(t,h,h.buttons,function(_){XU(t,h,h.buttons[_.index],d,v,f,_.index,!0)}),h.type===\"dropdown\"?(W0e(t,d,s,f,h),j0e(s,h)&&u4(t,d,s,f,h)):u4(t,d,null,null,h)})}};function zgt(e){return e._index}function Ogt(e){return+e.attr(es.menuIndexAttrName)==-1}function j0e(e,t){return+e.attr(es.menuIndexAttrName)===t._index}function XU(e,t,r,n,i,a,o,s){t.active=o,Dgt(e.layout,es.name,t).applyUpdate(\"active\",o),t.type===\"buttons\"?u4(e,n,null,null,t):t.type===\"dropdown\"&&(i.attr(es.menuIndexAttrName,\"-1\"),W0e(e,n,i,a,t),s||u4(e,n,i,a,t))}function W0e(e,t,r,n,i){var a=e0.ensureSingle(t,\"g\",es.headerClassName,function(h){h.style(\"pointer-events\",\"all\")}),o=i._dims,s=i.active,l=i.buttons[s]||es.blankHeaderOpts,u={y:i.pad.t,yPad:0,x:i.pad.l,xPad:0,index:0},c={width:o.headerWidth,height:o.headerHeight};a.call(YU,i,l,e).call(K0e,i,u,c);var f=e0.ensureSingle(t,\"text\",es.headerArrowClassName,function(h){h.attr(\"text-anchor\",\"end\").call(bT.font,i.font).text(es.arrowSymbol[i.direction])});f.attr({x:o.headerWidth-es.arrowOffsetX+i.pad.l,y:o.headerHeight/2+es.textOffsetY+i.pad.t}),a.on(\"click\",function(){r.call(ZU,String(j0e(r,i)?-1:i._index)),u4(e,t,r,n,i)}),a.on(\"mouseover\",function(){a.call(X0e)}),a.on(\"mouseout\",function(){a.call(Z0e,i)}),bT.setTranslate(t,o.lx,o.ly)}function u4(e,t,r,n,i){r||(r=t,r.attr(\"pointer-events\",\"all\"));var a=!Ogt(r)||i.type===\"buttons\"?i.buttons:[],o=i.type===\"dropdown\"?es.dropdownButtonClassName:es.buttonClassName,s=r.selectAll(\"g.\"+o).data(e0.filterVisible(a)),l=s.enter().append(\"g\").classed(o,!0),u=s.exit();i.type===\"dropdown\"?(l.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\"),u.transition().attr(\"opacity\",\"0\").remove()):u.remove();var c=0,f=0,h=i._dims,d=[\"up\",\"down\"].indexOf(i.direction)!==-1;i.type===\"dropdown\"&&(d?f=h.headerHeight+es.gapButtonHeader:c=h.headerWidth+es.gapButtonHeader),i.type===\"dropdown\"&&i.direction===\"up\"&&(f=-es.gapButtonHeader+es.gapButton-h.openHeight),i.type===\"dropdown\"&&i.direction===\"left\"&&(c=-es.gapButtonHeader+es.gapButton-h.openWidth);var v={x:h.lx+c+i.pad.l,y:h.ly+f+i.pad.t,yPad:es.gapButton,xPad:es.gapButton,index:0},_={l:v.x+i.borderwidth,t:v.y+i.borderwidth};s.each(function(b,p){var k=xT.select(this);k.call(YU,i,b,e).call(K0e,i,v),k.on(\"click\",function(){xT.event.defaultPrevented||(b.execute&&(b.args2&&i.active===p?(XU(e,i,b,t,r,n,-1),s4.executeAPICommand(e,b.method,b.args2)):(XU(e,i,b,t,r,n,p),s4.executeAPICommand(e,b.method,b.args))),e.emit(\"plotly_buttonclicked\",{menu:i,button:b,active:i.active}))}),k.on(\"mouseover\",function(){k.call(X0e)}),k.on(\"mouseout\",function(){k.call(Z0e,i),s.call(G0e,i)})}),s.call(G0e,i),d?(_.w=Math.max(h.openWidth,h.headerWidth),_.h=v.y-_.t):(_.w=v.x-_.l,_.h=Math.max(h.openHeight,h.headerHeight)),_.direction=i.direction,n&&(s.size()?qgt(e,t,r,n,i,_):Bgt(n))}function qgt(e,t,r,n,i,a){var o=i.direction,s=o===\"up\"||o===\"down\",l=i._dims,u=i.active,c,f,h;if(s)for(f=0,h=0;h<u;h++)f+=l.heights[h]+es.gapButton;else for(c=0,h=0;h<u;h++)c+=l.widths[h]+es.gapButton;n.enable(a,c,f),n.hbar&&n.hbar.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\"),n.vbar&&n.vbar.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\")}function Bgt(e){var t=!!e.hbar,r=!!e.vbar;t&&e.hbar.transition().attr(\"opacity\",\"0\").each(\"end\",function(){t=!1,r||e.disable()}),r&&e.vbar.transition().attr(\"opacity\",\"0\").each(\"end\",function(){r=!1,t||e.disable()})}function YU(e,t,r,n){e.call(Ngt,t).call(Ugt,t,r,n)}function Ngt(e,t){var r=e0.ensureSingle(e,\"rect\",es.itemRectClassName,function(n){n.attr({rx:es.rx,ry:es.ry,\"shape-rendering\":\"crispEdges\"})});r.call(l4.stroke,t.bordercolor).call(l4.fill,t.bgcolor).style(\"stroke-width\",t.borderwidth+\"px\")}function Ugt(e,t,r,n){var i=e0.ensureSingle(e,\"text\",es.itemTextClassName,function(s){s.attr({\"text-anchor\":\"start\",\"data-notex\":1})}),a=r.label,o=n._fullLayout._meta;o&&(a=e0.templateString(a,o)),i.call(bT.font,t.font).text(a).call(wI.convertToTspans,n)}function G0e(e,t){var r=t.active;e.each(function(n,i){var a=xT.select(this);i===r&&t.showactive&&a.select(\"rect.\"+es.itemRectClassName).call(l4.fill,es.activeColor)})}function X0e(e){e.select(\"rect.\"+es.itemRectClassName).call(l4.fill,es.hoverColor)}function Z0e(e,t){e.select(\"rect.\"+es.itemRectClassName).call(l4.fill,t.bgcolor)}function Vgt(e,t){var r=t._dims={width1:0,height1:0,heights:[],widths:[],totalWidth:0,totalHeight:0,openWidth:0,openHeight:0,lx:0,ly:0},n=bT.tester.selectAll(\"g.\"+es.dropdownButtonClassName).data(e0.filterVisible(t.buttons));n.enter().append(\"g\").classed(es.dropdownButtonClassName,!0);var i=[\"up\",\"down\"].indexOf(t.direction)!==-1;n.each(function(c,f){var h=xT.select(this);h.call(YU,t,c,e);var d=h.select(\".\"+es.itemTextClassName),v=d.node()&&bT.bBox(d.node()).width,_=Math.max(v+es.textPadX,es.minWidth),b=t.font.size*H0e,p=wI.lineCount(d),k=Math.max(b*p,es.minHeight)+es.textOffsetY;k=Math.ceil(k),_=Math.ceil(_),r.widths[f]=_,r.heights[f]=k,r.height1=Math.max(r.height1,k),r.width1=Math.max(r.width1,_),i?(r.totalWidth=Math.max(r.totalWidth,_),r.openWidth=r.totalWidth,r.totalHeight+=k+es.gapButton,r.openHeight+=k+es.gapButton):(r.totalWidth+=_+es.gapButton,r.openWidth+=_+es.gapButton,r.totalHeight=Math.max(r.totalHeight,k),r.openHeight=r.totalHeight)}),i?r.totalHeight-=es.gapButton:r.totalWidth-=es.gapButton,r.headerWidth=r.width1+es.arrowPadX,r.headerHeight=r.height1,t.type===\"dropdown\"&&(i?(r.width1+=es.arrowPadX,r.totalHeight=r.height1):r.totalWidth=r.width1,r.totalWidth+=es.arrowPadX),n.remove();var a=r.totalWidth+t.pad.l+t.pad.r,o=r.totalHeight+t.pad.t+t.pad.b,s=e._fullLayout._size;r.lx=s.l+s.w*t.x,r.ly=s.t+s.h*(1-t.y);var l=\"left\";e0.isRightAnchor(t)&&(r.lx-=a,l=\"right\"),e0.isCenterAnchor(t)&&(r.lx-=a/2,l=\"center\");var u=\"top\";e0.isBottomAnchor(t)&&(r.ly-=o,u=\"bottom\"),e0.isMiddleAnchor(t)&&(r.ly-=o/2,u=\"middle\"),r.totalWidth=Math.ceil(r.totalWidth),r.totalHeight=Math.ceil(r.totalHeight),r.lx=Math.round(r.lx),r.ly=Math.round(r.ly),s4.autoMargin(e,Y0e(t),{x:t.x,y:t.y,l:a*({right:1,center:.5}[l]||0),r:a*({left:1,center:.5}[l]||0),b:o*({top:1,middle:.5}[u]||0),t:o*({bottom:1,middle:.5}[u]||0)})}function Y0e(e){return es.autoMarginIdRoot+e._index}function K0e(e,t,r,n){n=n||{};var i=e.select(\".\"+es.itemRectClassName),a=e.select(\".\"+es.itemTextClassName),o=t.borderwidth,s=r.index,l=t._dims;bT.setTranslate(e,o+r.x,o+r.y);var u=[\"up\",\"down\"].indexOf(t.direction)!==-1,c=n.height||(u?l.heights[s]:l.height1);i.attr({x:0,y:0,width:n.width||(u?l.width1:l.widths[s]),height:c});var f=t.font.size*H0e,h=wI.lineCount(a),d=(h-1)*f/2;wI.positionText(a,es.textOffsetX,c/2-d+es.textOffsetY),u?r.y+=l.heights[s]+r.yPad:r.x+=l.widths[s]+r.xPad,r.index++}function ZU(e,t){e.attr(es.menuIndexAttrName,t||\"-1\").selectAll(\"g.\"+es.dropdownButtonClassName).remove()}});var ege=ye((tlr,Q0e)=>{\"use strict\";var Ggt=_I();Q0e.exports={moduleType:\"component\",name:Ggt.name,layoutAttributes:WU(),supplyLayoutDefaults:B0e(),draw:$0e()}});var c4=ye((rlr,tge)=>{\"use 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KU=ye((ilr,nge)=>{\"use strict\";var rge=ec(),Hgt=E6(),jgt=Ao().extendDeepAll,Wgt=mc().overrideAll,Xgt=US(),ige=vl().templatedArray,$b=c4(),Zgt=ige(\"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}});nge.exports=Wgt(ige(\"slider\",{visible:{valType:\"boolean\",dflt:!0},active:{valType:\"number\",min:0,dflt:0},steps:Zgt,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:jgt(Hgt({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:Xgt.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:rge({})},font:rge({}),activebgcolor:{valType:\"color\",dflt:$b.gripBgActiveColor},bgcolor:{valType:\"color\",dflt:$b.railBgColor},bordercolor:{valType:\"color\",dflt:$b.railBorderColor},borderwidth:{valType:\"number\",min:0,dflt:$b.railBorderWidth},ticklen:{valType:\"number\",min:0,dflt:$b.tickLength},tickcolor:{valType:\"color\",dflt:$b.tickColor},tickwidth:{valType:\"number\",min:0,dflt:1},minorticklen:{valType:\"number\",min:0,dflt:$b.minorTickLength}}),\"arraydraw\",\"from-root\")});var lge=ye((nlr,sge)=>{\"use strict\";var wT=Dr(),age=Yd(),oge=KU(),Ygt=c4(),Kgt=Ygt.name,Jgt=oge.steps;sge.exports=function(t,r){age(t,r,{name:Kgt,handleItemDefaults:$gt})};function $gt(e,t,r){function n(f,h){return wT.coerce(e,t,oge,f,h)}for(var i=age(e,t,{name:\"steps\",handleItemDefaults:Qgt}),a=0,o=0;o<i.length;o++)i[o].visible&&a++;var s;if(a<2?s=t.visible=!1:s=n(\"visible\"),!!s){t._stepCount=a;var l=t._visibleSteps=wT.filterVisible(i),u=n(\"active\");(i[u]||{}).visible||(t.active=l[0]._index),n(\"x\"),n(\"y\"),wT.noneOrAll(e,t,[\"x\",\"y\"]),n(\"xanchor\"),n(\"yanchor\"),n(\"len\"),n(\"lenmode\"),n(\"pad.t\"),n(\"pad.r\"),n(\"pad.b\"),n(\"pad.l\"),wT.coerceFont(n,\"font\",r.font);var c=n(\"currentvalue.visible\");c&&(n(\"currentvalue.xanchor\"),n(\"currentvalue.prefix\"),n(\"currentvalue.suffix\"),n(\"currentvalue.offset\"),wT.coerceFont(n,\"currentvalue.font\",t.font)),n(\"transition.duration\"),n(\"transition.easing\"),n(\"bgcolor\"),n(\"activebgcolor\"),n(\"bordercolor\"),n(\"borderwidth\"),n(\"ticklen\"),n(\"tickwidth\"),n(\"tickcolor\"),n(\"minorticklen\")}}function Qgt(e,t){function r(a,o){return wT.coerce(e,t,Jgt,a,o)}var n;if(e.method!==\"skip\"&&!Array.isArray(e.args)?n=t.visible=!1:n=r(\"visible\"),n){r(\"method\"),r(\"args\");var i=r(\"label\",\"step-\"+t._index);r(\"value\",i),r(\"execute\")}}});var yge=ye((alr,mge)=>{\"use strict\";var Bg=Oa(),TI=Mc(),__=ka(),Ng=So(),t0=Dr(),emt=t0.strTranslate,f4=ru(),tmt=vl().arrayEditor,Rs=c4(),QU=$h(),fge=QU.LINE_SPACING,JU=QU.FROM_TL,$U=QU.FROM_BR;mge.exports=function(t){var r=t._context.staticPlot,n=t._fullLayout,i=rmt(n,t),a=n._infolayer.selectAll(\"g.\"+Rs.containerClassName).data(i.length>0?[0]:[]);a.enter().append(\"g\").classed(Rs.containerClassName,!0).style(\"cursor\",r?null:\"ew-resize\");function o(c){c._commandObserver&&(c._commandObserver.remove(),delete c._commandObserver),TI.autoMargin(t,hge(c))}if(a.exit().each(function(){Bg.select(this).selectAll(\"g.\"+Rs.groupClassName).each(o)}).remove(),i.length!==0){var s=a.selectAll(\"g.\"+Rs.groupClassName).data(i,imt);s.enter().append(\"g\").classed(Rs.groupClassName,!0),s.exit().each(o).remove();for(var l=0;l<i.length;l++){var u=i[l];nmt(t,u)}s.each(function(c){var f=Bg.select(this);umt(c),TI.manageCommandObserver(t,c,c._visibleSteps,function(h){var d=f.data()[0];d.active!==h.index&&(d._dragging||vge(t,f,d,h.index,!1,!0))}),amt(t,Bg.select(this),c)})}};function hge(e){return Rs.autoMarginIdRoot+e._index}function rmt(e,t){for(var r=e[Rs.name],n=[],i=0;i<r.length;i++){var a=r[i];a.visible&&(a._gd=t,n.push(a))}return n}function imt(e){return e._index}function nmt(e,t){var r=Ng.tester.selectAll(\"g.\"+Rs.labelGroupClass).data(t._visibleSteps);r.enter().append(\"g\").classed(Rs.labelGroupClass,!0);var n=0,i=0;r.each(function(v){var _=Bg.select(this),b=dge(_,{step:v},t),p=b.node();if(p){var k=Ng.bBox(p);i=Math.max(i,k.height),n=Math.max(n,k.width)}}),r.remove();var a=t._dims={};a.inputAreaWidth=Math.max(Rs.railWidth,Rs.gripHeight);var o=e._fullLayout._size;a.lx=o.l+o.w*t.x,a.ly=o.t+o.h*(1-t.y),t.lenmode===\"fraction\"?a.outerLength=Math.round(o.w*t.len):a.outerLength=t.len,a.inputAreaStart=0,a.inputAreaLength=Math.round(a.outerLength-t.pad.l-t.pad.r);var s=a.inputAreaLength-2*Rs.stepInset,l=s/(t._stepCount-1),u=n+Rs.labelPadding;if(a.labelStride=Math.max(1,Math.ceil(u/l)),a.labelHeight=i,a.currentValueMaxWidth=0,a.currentValueHeight=0,a.currentValueTotalHeight=0,a.currentValueMaxLines=1,t.currentvalue.visible){var c=Ng.tester.append(\"g\");r.each(function(v){var _=AI(c,t,v.label),b=_.node()&&Ng.bBox(_.node())||{width:0,height:0},p=f4.lineCount(_);a.currentValueMaxWidth=Math.max(a.currentValueMaxWidth,Math.ceil(b.width)),a.currentValueHeight=Math.max(a.currentValueHeight,Math.ceil(b.height)),a.currentValueMaxLines=Math.max(a.currentValueMaxLines,p)}),a.currentValueTotalHeight=a.currentValueHeight+t.currentvalue.offset,c.remove()}a.height=a.currentValueTotalHeight+Rs.tickOffset+t.ticklen+Rs.labelOffset+a.labelHeight+t.pad.t+t.pad.b;var f=\"left\";t0.isRightAnchor(t)&&(a.lx-=a.outerLength,f=\"right\"),t0.isCenterAnchor(t)&&(a.lx-=a.outerLength/2,f=\"center\");var h=\"top\";t0.isBottomAnchor(t)&&(a.ly-=a.height,h=\"bottom\"),t0.isMiddleAnchor(t)&&(a.ly-=a.height/2,h=\"middle\"),a.outerLength=Math.ceil(a.outerLength),a.height=Math.ceil(a.height),a.lx=Math.round(a.lx),a.ly=Math.round(a.ly);var d={y:t.y,b:a.height*$U[h],t:a.height*JU[h]};t.lenmode===\"fraction\"?(d.l=0,d.xl=t.x-t.len*JU[f],d.r=0,d.xr=t.x+t.len*$U[f]):(d.x=t.x,d.l=a.outerLength*JU[f],d.r=a.outerLength*$U[f]),TI.autoMargin(e,hge(t),d)}function amt(e,t,r){(r.steps[r.active]||{}).visible||(r.active=r._visibleSteps[0]._index),t.call(AI,r).call(fmt,r).call(smt,r).call(lmt,r).call(cmt,e,r).call(omt,e,r);var n=r._dims;Ng.setTranslate(t,n.lx+r.pad.l,n.ly+r.pad.t),t.call(gge,r,!1),t.call(AI,r)}function AI(e,t,r){if(t.currentvalue.visible){var n=t._dims,i,a;switch(t.currentvalue.xanchor){case\"right\":i=n.inputAreaLength-Rs.currentValueInset-n.currentValueMaxWidth,a=\"left\";break;case\"center\":i=n.inputAreaLength*.5,a=\"middle\";break;default:i=Rs.currentValueInset,a=\"left\"}var o=t0.ensureSingle(e,\"text\",Rs.labelClass,function(h){h.attr({\"text-anchor\":a,\"data-notex\":1})}),s=t.currentvalue.prefix?t.currentvalue.prefix:\"\";if(typeof r==\"string\")s+=r;else{var l=t.steps[t.active].label,u=t._gd._fullLayout._meta;u&&(l=t0.templateString(l,u)),s+=l}t.currentvalue.suffix&&(s+=t.currentvalue.suffix),o.call(Ng.font,t.currentvalue.font).text(s).call(f4.convertToTspans,t._gd);var c=f4.lineCount(o),f=(n.currentValueMaxLines+1-c)*t.currentvalue.font.size*fge;return f4.positionText(o,i,f),o}}function omt(e,t,r){var n=t0.ensureSingle(e,\"rect\",Rs.gripRectClass,function(i){i.call(pge,t,e,r).style(\"pointer-events\",\"all\")});n.attr({width:Rs.gripWidth,height:Rs.gripHeight,rx:Rs.gripRadius,ry:Rs.gripRadius}).call(__.stroke,r.bordercolor).call(__.fill,r.bgcolor).style(\"stroke-width\",r.borderwidth+\"px\")}function dge(e,t,r){var n=t0.ensureSingle(e,\"text\",Rs.labelClass,function(o){o.attr({\"text-anchor\":\"middle\",\"data-notex\":1})}),i=t.step.label,a=r._gd._fullLayout._meta;return a&&(i=t0.templateString(i,a)),n.call(Ng.font,r.font).text(i).call(f4.convertToTspans,r._gd),n}function smt(e,t){var r=t0.ensureSingle(e,\"g\",Rs.labelsClass),n=t._dims,i=r.selectAll(\"g.\"+Rs.labelGroupClass).data(n.labelSteps);i.enter().append(\"g\").classed(Rs.labelGroupClass,!0),i.exit().remove(),i.each(function(a){var o=Bg.select(this);o.call(dge,a,t),Ng.setTranslate(o,eV(t,a.fraction),Rs.tickOffset+t.ticklen+t.font.size*fge+Rs.labelOffset+n.currentValueTotalHeight)})}function uge(e,t,r,n,i){var a=Math.round(n*(r._stepCount-1)),o=r._visibleSteps[a]._index;o!==r.active&&vge(e,t,r,o,!0,i)}function vge(e,t,r,n,i,a){var o=r.active;r.active=n,tmt(e.layout,Rs.name,r).applyUpdate(\"active\",n);var s=r.steps[r.active];t.call(gge,r,a),t.call(AI,r),e.emit(\"plotly_sliderchange\",{slider:r,step:r.steps[r.active],interaction:i,previousActive:o}),s&&s.method&&i&&(t._nextMethod?(t._nextMethod.step=s,t._nextMethod.doCallback=i,t._nextMethod.doTransition=a):(t._nextMethod={step:s,doCallback:i,doTransition:a},t._nextMethodRaf=window.requestAnimationFrame(function(){var l=t._nextMethod.step;l.method&&(l.execute&&TI.executeAPICommand(e,l.method,l.args),t._nextMethod=null,t._nextMethodRaf=null)})))}function pge(e,t,r){if(t._context.staticPlot)return;var n=r.node(),i=Bg.select(t);function a(){return r.data()[0]}function o(){var s=a();t.emit(\"plotly_sliderstart\",{slider:s});var l=r.select(\".\"+Rs.gripRectClass);Bg.event.stopPropagation(),Bg.event.preventDefault(),l.call(__.fill,s.activebgcolor);var u=cge(s,Bg.mouse(n)[0]);uge(t,r,s,u,!0),s._dragging=!0;function c(){var h=a(),d=cge(h,Bg.mouse(n)[0]);uge(t,r,h,d,!1)}i.on(\"mousemove\",c),i.on(\"touchmove\",c);function f(){var h=a();h._dragging=!1,l.call(__.fill,h.bgcolor),i.on(\"mouseup\",null),i.on(\"mousemove\",null),i.on(\"touchend\",null),i.on(\"touchmove\",null),t.emit(\"plotly_sliderend\",{slider:h,step:h.steps[h.active]})}i.on(\"mouseup\",f),i.on(\"touchend\",f)}e.on(\"mousedown\",o),e.on(\"touchstart\",o)}function lmt(e,t){var r=e.selectAll(\"rect.\"+Rs.tickRectClass).data(t._visibleSteps),n=t._dims;r.enter().append(\"rect\").classed(Rs.tickRectClass,!0),r.exit().remove(),r.attr({width:t.tickwidth+\"px\",\"shape-rendering\":\"crispEdges\"}),r.each(function(i,a){var o=a%n.labelStride===0,s=Bg.select(this);s.attr({height:o?t.ticklen:t.minorticklen}).call(__.fill,t.tickcolor),Ng.setTranslate(s,eV(t,a/(t._stepCount-1))-.5*t.tickwidth,(o?Rs.tickOffset:Rs.minorTickOffset)+n.currentValueTotalHeight)})}function umt(e){var t=e._dims;t.labelSteps=[];for(var r=e._stepCount,n=0;n<r;n+=t.labelStride)t.labelSteps.push({fraction:n/(r-1),step:e._visibleSteps[n]})}function gge(e,t,r){for(var n=e.select(\"rect.\"+Rs.gripRectClass),i=0,a=0;a<t._stepCount;a++)if(t._visibleSteps[a]._index===t.active){i=a;break}var o=eV(t,i/(t._stepCount-1));if(!t._invokingCommand){var s=n;r&&t.transition.duration>0&&(s=s.transition().duration(t.transition.duration).ease(t.transition.easing)),s.attr(\"transform\",emt(o-Rs.gripWidth*.5,t._dims.currentValueTotalHeight))}}function eV(e,t){var r=e._dims;return r.inputAreaStart+Rs.stepInset+(r.inputAreaLength-2*Rs.stepInset)*Math.min(1,Math.max(0,t))}function cge(e,t){var r=e._dims;return Math.min(1,Math.max(0,(t-Rs.stepInset-r.inputAreaStart)/(r.inputAreaLength-2*Rs.stepInset-2*r.inputAreaStart)))}function cmt(e,t,r){var n=r._dims,i=t0.ensureSingle(e,\"rect\",Rs.railTouchRectClass,function(a){a.call(pge,t,e,r).style(\"pointer-events\",\"all\")});i.attr({width:n.inputAreaLength,height:Math.max(n.inputAreaWidth,Rs.tickOffset+r.ticklen+n.labelHeight)}).call(__.fill,r.bgcolor).attr(\"opacity\",0),Ng.setTranslate(i,0,n.currentValueTotalHeight)}function fmt(e,t){var r=t._dims,n=r.inputAreaLength-Rs.railInset*2,i=t0.ensureSingle(e,\"rect\",Rs.railRectClass);i.attr({width:n,height:Rs.railWidth,rx:Rs.railRadius,ry:Rs.railRadius,\"shape-rendering\":\"crispEdges\"}).call(__.stroke,t.bordercolor).call(__.fill,t.bgcolor).style(\"stroke-width\",t.borderwidth+\"px\"),Ng.setTranslate(i,Rs.railInset,(r.inputAreaWidth-Rs.railWidth)*.5+r.currentValueTotalHeight)}});var xge=ye((olr,_ge)=>{\"use strict\";var hmt=c4();_ge.exports={moduleType:\"component\",name:hmt.name,layoutAttributes:KU(),supplyLayoutDefaults:lge(),draw:yge()}});var SI=ye((slr,wge)=>{\"use strict\";var bge=Lh();wge.exports={bgcolor:{valType:\"color\",dflt:bge.background,editType:\"plot\"},bordercolor:{valType:\"color\",dflt:bge.defaultLine,editType:\"plot\"},borderwidth:{valType:\"integer\",dflt:0,min:0,editType:\"plot\"},autorange:{valType:\"boolean\",dflt:!0,editType:\"calc\",impliedEdits:{\"range[0]\":void 0,\"range[1]\":void 0}},range:{valType:\"info_array\",items:[{valType:\"any\",editType:\"calc\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"calc\",impliedEdits:{\"^autorange\":!1}}],editType:\"calc\",impliedEdits:{autorange:!1}},thickness:{valType:\"number\",dflt:.15,min:0,max:1,editType:\"plot\"},visible:{valType:\"boolean\",dflt:!0,editType:\"calc\"},editType:\"calc\"}});var tV=ye((llr,Tge)=>{\"use strict\";Tge.exports={_isSubplotObj:!0,rangemode:{valType:\"enumerated\",values:[\"auto\",\"fixed\",\"match\"],dflt:\"match\",editType:\"calc\"},range:{valType:\"info_array\",items:[{valType:\"any\",editType:\"plot\"},{valType:\"any\",editType:\"plot\"}],editType:\"plot\"},editType:\"calc\"}});var MI=ye((ulr,Age)=>{\"use strict\";Age.exports={name:\"rangeslider\",containerClassName:\"rangeslider-container\",bgClassName:\"rangeslider-bg\",rangePlotClassName:\"rangeslider-rangeplot\",maskMinClassName:\"rangeslider-mask-min\",maskMaxClassName:\"rangeslider-mask-max\",slideBoxClassName:\"rangeslider-slidebox\",grabberMinClassName:\"rangeslider-grabber-min\",grabAreaMinClassName:\"rangeslider-grabarea-min\",handleMinClassName:\"rangeslider-handle-min\",grabberMaxClassName:\"rangeslider-grabber-max\",grabAreaMaxClassName:\"rangeslider-grabarea-max\",handleMaxClassName:\"rangeslider-handle-max\",maskMinOppAxisClassName:\"rangeslider-mask-min-opp-axis\",maskMaxOppAxisClassName:\"rangeslider-mask-max-opp-axis\",maskColor:\"rgba(0,0,0,0.4)\",maskOppAxisColor:\"rgba(0,0,0,0.2)\",slideBoxFill:\"transparent\",slideBoxCursor:\"ew-resize\",grabAreaFill:\"transparent\",grabAreaCursor:\"col-resize\",grabAreaWidth:10,handleWidth:4,handleRadius:1,handleStrokeWidth:1,extraPad:15}});var Ege=ye(kI=>{\"use strict\";var dmt=hf(),vmt=ru(),Sge=MI(),pmt=$h().LINE_SPACING,EI=Sge.name;function Mge(e){var t=e&&e[EI];return t&&t.visible}kI.isVisible=Mge;kI.makeData=function(e){for(var t=dmt.list({_fullLayout:e},\"x\",!0),r=e.margin,n=[],i=0;i<t.length;i++){var a=t[i];if(Mge(a)){n.push(a);var o=a[EI];o._id=EI+a._id,o._height=(e.height-r.b-r.t)*o.thickness,o._offsetShift=Math.floor(o.borderwidth/2)}}e._rangeSliderData=n};kI.autoMarginOpts=function(e,t){var r=e._fullLayout,n=t[EI],i=t._id.charAt(0),a=0,o=0;if(t.side===\"bottom\"&&(a=t._depth,t.title.text!==r._dfltTitle[i])){o=1.5*t.title.font.size+10+n._offsetShift;var s=(t.title.text.match(vmt.BR_TAG_ALL)||[]).length;o+=s*t.title.font.size*pmt}return{x:0,y:t._counterDomainMin,l:0,r:0,t:0,b:n._height+a+Math.max(r.margin.b,o),pad:Sge.extraPad+n._offsetShift*2}}});var Pge=ye((flr,Lge)=>{\"use strict\";var CI=Dr(),kge=vl(),Cge=hf(),gmt=SI(),mmt=tV();Lge.exports=function(t,r,n){var i=t[n],a=r[n];if(!(i.rangeslider||r._requestRangeslider[a._id]))return;CI.isPlainObject(i.rangeslider)||(i.rangeslider={});var o=i.rangeslider,s=kge.newContainer(a,\"rangeslider\");function l(L,x){return CI.coerce(o,s,gmt,L,x)}var u,c;function f(L,x){return CI.coerce(u,c,mmt,L,x)}var h=l(\"visible\");if(h){l(\"bgcolor\",r.plot_bgcolor),l(\"bordercolor\"),l(\"borderwidth\"),l(\"thickness\"),l(\"autorange\",!a.isValidRange(o.range)),l(\"range\");var d=r._subplots;if(d)for(var v=d.cartesian.filter(function(L){return L.slice(0,Math.max(0,L.indexOf(\"y\")))===Cge.name2id(n)}).map(function(L){return L.slice(L.indexOf(\"y\"),L.length)}),_=CI.simpleMap(v,Cge.id2name),b=0;b<_.length;b++){var p=_[b];u=o[p]||{},c=kge.newContainer(s,p,\"yaxis\");var k=r[p],E;u.range&&k.isValidRange(u.range)&&(E=\"fixed\");var S=f(\"rangemode\",E);S!==\"match\"&&f(\"range\",k.range.slice())}s._input=o}}});var Rge=ye((hlr,Ige)=>{\"use strict\";var ymt=hf().list,_mt=Ag().getAutoRange,xmt=MI();Ige.exports=function(t){for(var r=ymt(t,\"x\",!0),n=0;n<r.length;n++){var i=r[n],a=i[xmt.name];a&&a.visible&&a.autorange&&(a._input.autorange=!0,a._input.range=a.range=_mt(t,i))}}});var Oge=ye((dlr,zge)=>{\"use strict\";var LI=Oa(),bmt=qa(),wmt=Mc(),Jf=Dr(),PI=Jf.strTranslate,Fge=So(),x_=ka(),Tmt=Eb(),Amt=ph(),rV=hf(),Smt=yv(),Mmt=Sg(),rl=MI();zge.exports=function(e){for(var t=e._fullLayout,r=t._rangeSliderData,n=0;n<r.length;n++){var i=r[n][rl.name];i._clipId=i._id+\"-\"+t._uid}function a(s){return s._name}var o=t._infolayer.selectAll(\"g.\"+rl.containerClassName).data(r,a);o.exit().each(function(s){var l=s[rl.name];t._topdefs.select(\"#\"+l._clipId).remove()}).remove(),r.length!==0&&(o.enter().append(\"g\").classed(rl.containerClassName,!0).attr(\"pointer-events\",\"all\"),o.each(function(s){var l=LI.select(this),u=s[rl.name],c=t[rV.id2name(s.anchor)],f=u[rV.id2name(s.anchor)];if(u.range){var h=Jf.simpleMap(u.range,s.r2l),d=Jf.simpleMap(s.range,s.r2l),v;d[0]<d[1]?v=[Math.min(h[0],d[0]),Math.max(h[1],d[1])]:v=[Math.max(h[0],d[0]),Math.min(h[1],d[1])],u.range=u._input.range=Jf.simpleMap(v,s.l2r)}s.cleanRange(\"rangeslider.range\");var _=t._size,b=s.domain;u._width=_.w*(b[1]-b[0]);var p=Math.round(_.l+_.w*b[0]),k=Math.round(_.t+_.h*(1-s._counterDomainMin)+(s.side===\"bottom\"?s._depth:0)+u._offsetShift+rl.extraPad);l.attr(\"transform\",PI(p,k)),u._rl=Jf.simpleMap(u.range,s.r2l);var E=u._rl[0],S=u._rl[1],L=S-E;if(u.p2d=function(G){return G/u._width*L+E},u.d2p=function(G){return(G-E)/L*u._width},s.rangebreaks){var x=s.locateBreaks(E,S);if(x.length){var C,M,g=0;for(C=0;C<x.length;C++)M=x[C],g+=M.max-M.min;var P=u._width/(S-E-g),T=[-P*E];for(C=0;C<x.length;C++)M=x[C],T.push(T[T.length-1]-P*(M.max-M.min));for(u.d2p=function(G){for(var Z=T[0],j=0;j<x.length;j++){var N=x[j];if(G>=N.max)Z=T[j+1];else if(G<N.min)break}return 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i=e.select(\"rect.\"+rl.slideBoxClassName).node(),a=e.select(\"rect.\"+rl.grabAreaMinClassName).node(),o=e.select(\"rect.\"+rl.grabAreaMaxClassName).node();function s(){var l=LI.event,u=l.target,c=Dge(l),f=c-e.node().getBoundingClientRect().left,h=n.d2p(r._rl[0]),d=n.d2p(r._rl[1]),v=Smt.coverSlip();this.addEventListener(\"touchmove\",_),this.addEventListener(\"touchend\",b),v.addEventListener(\"mousemove\",_),v.addEventListener(\"mouseup\",b);function _(p){var k=Dge(p),E=+k-c,S,L,x;switch(u){case i:if(x=\"ew-resize\",h+E>r._length||d+E<0)return;S=h+E,L=d+E;break;case a:if(x=\"col-resize\",h+E>r._length)return;S=h+E,L=d;break;case o:if(x=\"col-resize\",d+E<0)return;S=h,L=d+E;break;default:x=\"ew-resize\",S=f,L=f+E;break}if(L<S){var C=L;L=S,S=C}n._pixelMin=S,n._pixelMax=L,Mmt(LI.select(v),x),kmt(e,t,r,n)}function b(){v.removeEventListener(\"mousemove\",_),v.removeEventListener(\"mouseup\",b),this.removeEventListener(\"touchmove\",_),this.removeEventListener(\"touchend\",b),Jf.removeElement(v)}}e.on(\"mousedown\",s),e.on(\"touchstart\",s)}function kmt(e,t,r,n){function i(s){return r.l2r(Jf.constrain(s,n._rl[0],n._rl[1]))}var a=i(n.p2d(n._pixelMin)),o=i(n.p2d(n._pixelMax));window.requestAnimationFrame(function(){bmt.call(\"_guiRelayout\",t,r._name+\".range\",[a,o])})}function Cmt(e,t,r,n,i,a){var o=rl.handleWidth/2;function s(p){return Jf.constrain(p,0,n._width)}function l(p){return Jf.constrain(p,0,n._height)}function u(p){return Jf.constrain(p,-o,n._width+o)}var c=s(n.d2p(r._rl[0])),f=s(n.d2p(r._rl[1]));if(e.select(\"rect.\"+rl.slideBoxClassName).attr(\"x\",c).attr(\"width\",f-c),e.select(\"rect.\"+rl.maskMinClassName).attr(\"width\",c),e.select(\"rect.\"+rl.maskMaxClassName).attr(\"x\",f).attr(\"width\",n._width-f),a.rangemode!==\"match\"){var h=n._height-l(n.d2pOppAxis(i._rl[1])),d=n._height-l(n.d2pOppAxis(i._rl[0]));e.select(\"rect.\"+rl.maskMinOppAxisClassName).attr(\"x\",c).attr(\"height\",h).attr(\"width\",f-c),e.select(\"rect.\"+rl.maskMaxOppAxisClassName).attr(\"x\",c).attr(\"y\",d).attr(\"height\",n._height-d).attr(\"width\",f-c),e.select(\"rect.\"+rl.slideBoxClassName).attr(\"y\",h).attr(\"height\",d-h)}var v=.5,_=Math.round(u(c-o))-v,b=Math.round(u(f-o))+v;e.select(\"g.\"+rl.grabberMinClassName).attr(\"transform\",PI(_,v)),e.select(\"g.\"+rl.grabberMaxClassName).attr(\"transform\",PI(b,v))}function Lmt(e,t,r,n){var i=Jf.ensureSingle(e,\"rect\",rl.bgClassName,function(l){l.attr({x:0,y:0,\"shape-rendering\":\"crispEdges\"})}),a=n.borderwidth%2===0?n.borderwidth:n.borderwidth-1,o=-n._offsetShift,s=Fge.crispRound(t,n.borderwidth);i.attr({width:n._width+a,height:n._height+a,transform:PI(o,o),\"stroke-width\":s}).call(x_.stroke,n.bordercolor).call(x_.fill,n.bgcolor)}function Pmt(e,t,r,n){var i=t._fullLayout,a=Jf.ensureSingleById(i._topdefs,\"clipPath\",n._clipId,function(o){o.append(\"rect\").attr({x:0,y:0})});a.select(\"rect\").attr({width:n._width,height:n._height})}function Imt(e,t,r,n){var i=t.calcdata,a=e.selectAll(\"g.\"+rl.rangePlotClassName).data(r._subplotsWith,Jf.identity);a.enter().append(\"g\").attr(\"class\",function(s){return rl.rangePlotClassName+\" \"+s}).call(Fge.setClipUrl,n._clipId,t),a.order(),a.exit().remove();var o;a.each(function(s,l){var u=LI.select(this),c=l===0,f=rV.getFromId(t,s,\"y\"),h=f._name,d=n[h],v={data:[],layout:{xaxis:{type:r.type,domain:[0,1],range:n.range.slice(),calendar:r.calendar},width:n._width,height:n._height,margin:{t:0,b:0,l:0,r:0}},_context:t._context};r.rangebreaks&&(v.layout.xaxis.rangebreaks=r.rangebreaks),v.layout[h]={type:f.type,domain:[0,1],range:d.rangemode!==\"match\"?d.range.slice():f.range.slice(),calendar:f.calendar},f.rangebreaks&&(v.layout[h].rangebreaks=f.rangebreaks),wmt.supplyDefaults(v);var _=v._fullLayout.xaxis,b=v._fullLayout[h];_.clearCalc(),_.setScale(),b.clearCalc(),b.setScale();var p={id:s,plotgroup:u,xaxis:_,yaxis:b,isRangePlot:!0};c?o=p:(p.mainplot=\"xy\",p.mainplotinfo=o),Amt.rangePlot(t,p,Rmt(i,s))})}function Rmt(e,t){for(var r=[],n=0;n<e.length;n++){var i=e[n],a=i[0].trace;a.xaxis+a.yaxis===t&&r.push(i)}return r}function Dmt(e,t,r,n,i){var a=Jf.ensureSingle(e,\"rect\",rl.maskMinClassName,function(u){u.attr({x:0,y:0,\"shape-rendering\":\"crispEdges\"})});a.attr(\"height\",n._height).call(x_.fill,rl.maskColor);var o=Jf.ensureSingle(e,\"rect\",rl.maskMaxClassName,function(u){u.attr({y:0,\"shape-rendering\":\"crispEdges\"})});if(o.attr(\"height\",n._height).call(x_.fill,rl.maskColor),i.rangemode!==\"match\"){var s=Jf.ensureSingle(e,\"rect\",rl.maskMinOppAxisClassName,function(u){u.attr({y:0,\"shape-rendering\":\"crispEdges\"})});s.attr(\"width\",n._width).call(x_.fill,rl.maskOppAxisColor);var l=Jf.ensureSingle(e,\"rect\",rl.maskMaxOppAxisClassName,function(u){u.attr({y:0,\"shape-rendering\":\"crispEdges\"})});l.attr(\"width\",n._width).style(\"border-top\",rl.maskOppBorder).call(x_.fill,rl.maskOppAxisColor)}}function Fmt(e,t,r,n){if(!t._context.staticPlot){var i=Jf.ensureSingle(e,\"rect\",rl.slideBoxClassName,function(a){a.attr({y:0,cursor:rl.slideBoxCursor,\"shape-rendering\":\"crispEdges\"})});i.attr({height:n._height,fill:rl.slideBoxFill})}}function zmt(e,t,r,n){var i=Jf.ensureSingle(e,\"g\",rl.grabberMinClassName),a=Jf.ensureSingle(e,\"g\",rl.grabberMaxClassName),o={x:0,width:rl.handleWidth,rx:rl.handleRadius,fill:x_.background,stroke:x_.defaultLine,\"stroke-width\":rl.handleStrokeWidth,\"shape-rendering\":\"crispEdges\"},s={y:Math.round(n._height/4),height:Math.round(n._height/2)},l=Jf.ensureSingle(i,\"rect\",rl.handleMinClassName,function(d){d.attr(o)});l.attr(s);var u=Jf.ensureSingle(a,\"rect\",rl.handleMaxClassName,function(d){d.attr(o)});u.attr(s);var c={width:rl.grabAreaWidth,x:0,y:0,fill:rl.grabAreaFill,cursor:t._context.staticPlot?void 0:rl.grabAreaCursor},f=Jf.ensureSingle(i,\"rect\",rl.grabAreaMinClassName,function(d){d.attr(c)});f.attr(\"height\",n._height);var h=Jf.ensureSingle(a,\"rect\",rl.grabAreaMaxClassName,function(d){d.attr(c)});h.attr(\"height\",n._height)}});var Bge=ye((vlr,qge)=>{\"use strict\";var Omt=Dr(),qmt=SI(),Bmt=tV(),iV=Ege();qge.exports={moduleType:\"component\",name:\"rangeslider\",schema:{subplots:{xaxis:{rangeslider:Omt.extendFlat({},qmt,{yaxis:Bmt})}}},layoutAttributes:SI(),handleDefaults:Pge(),calcAutorange:Rge(),draw:Oge(),isVisible:iV.isVisible,makeData:iV.makeData,autoMarginOpts:iV.autoMarginOpts}});var II=ye((plr,Uge)=>{\"use strict\";var Nmt=ec(),Nge=Lh(),Umt=vl().templatedArray,Vmt=Umt(\"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\"});Uge.exports={visible:{valType:\"boolean\",editType:\"plot\"},buttons:Vmt,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:Nmt({editType:\"plot\"}),bgcolor:{valType:\"color\",dflt:Nge.lightLine,editType:\"plot\"},activecolor:{valType:\"color\",editType:\"plot\"},bordercolor:{valType:\"color\",dflt:Nge.defaultLine,editType:\"plot\"},borderwidth:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"plot\"}});var nV=ye((glr,Vge)=>{\"use strict\";Vge.exports={yPad:.02,minButtonWidth:30,rx:3,ry:3,lightAmount:25,darkAmount:10}});var jge=ye((mlr,Hge)=>{\"use strict\";var RI=Dr(),Gmt=ka(),Hmt=vl(),jmt=Yd(),Gge=II(),aV=nV();Hge.exports=function(t,r,n,i,a){var o=t.rangeselector||{},s=Hmt.newContainer(r,\"rangeselector\");function l(d,v){return RI.coerce(o,s,Gge,d,v)}var u=jmt(o,s,{name:\"buttons\",handleItemDefaults:Wmt,calendar:a}),c=l(\"visible\",u.length>0);if(c){var f=Xmt(r,n,i);l(\"x\",f[0]),l(\"y\",f[1]),RI.noneOrAll(t,r,[\"x\",\"y\"]),l(\"xanchor\"),l(\"yanchor\"),RI.coerceFont(l,\"font\",n.font);var h=l(\"bgcolor\");l(\"activecolor\",Gmt.contrast(h,aV.lightAmount,aV.darkAmount)),l(\"bordercolor\"),l(\"borderwidth\")}};function Wmt(e,t,r,n){var i=n.calendar;function a(l,u){return RI.coerce(e,t,Gge.buttons,l,u)}var o=a(\"visible\");if(o){var s=a(\"step\");s!==\"all\"&&(i&&i!==\"gregorian\"&&(s===\"month\"||s===\"year\")?t.stepmode=\"backward\":a(\"stepmode\"),a(\"count\")),a(\"label\")}}function Xmt(e,t,r){for(var n=r.filter(function(s){return t[s].anchor===e._id}),i=0,a=0;a<n.length;a++){var o=t[n[a]].domain;o&&(i=Math.max(o[1],i))}return[e.domain[0],i+aV.yPad]}});var Xge=ye((ylr,Wge)=>{\"use strict\";var Zmt=bO(),Ymt=Dr().titleCase;Wge.exports=function(t,r){var n=t._name,i={};if(r.step===\"all\")i[n+\".autorange\"]=!0;else{var a=Kmt(t,r);i[n+\".range[0]\"]=a[0],i[n+\".range[1]\"]=a[1]}return i};function Kmt(e,t){var r=e.range,n=new Date(e.r2l(r[1])),i=t.step,a=Zmt[\"utc\"+Ymt(i)],o=t.count,s;switch(t.stepmode){case\"backward\":s=e.l2r(+a.offset(n,-o));break;case\"todate\":var l=a.offset(n,-o);s=e.l2r(+a.ceil(l));break}var u=r[1];return[s,u]}});var tme=ye((_lr,eme)=>{\"use strict\";var FI=Oa(),Jmt=qa(),$mt=Mc(),Zge=ka(),Qge=So(),Ry=Dr(),Yge=Ry.strTranslate,DI=ru(),Qmt=hf(),lV=$h(),Kge=lV.LINE_SPACING,Jge=lV.FROM_TL,$ge=lV.FROM_BR,sV=nV(),eyt=Xge();eme.exports=function(t){var 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strict\";Eme.exports={cn:{colorbar:\"colorbar\",cbbg:\"cbbg\",cbfill:\"cbfill\",cbfills:\"cbfills\",cbline:\"cbline\",cblines:\"cblines\",cbaxis:\"cbaxis\",cbtitleunshift:\"cbtitleunshift\",cbtitle:\"cbtitle\",cboutline:\"cboutline\",crisp:\"crisp\",jsPlaceholder:\"js-placeholder\"}}});var Fme=ye((Plr,Dme)=>{\"use strict\";var w_=Oa(),gV=cd(),qI=Mc(),Cme=qa(),Dy=ho(),OI=yv(),B0=Dr(),Vg=B0.strTranslate,Rme=Ao().extendFlat,mV=Sg(),Ug=So(),yV=ka(),Myt=Eb(),Eyt=ru(),kyt=pv().flipScale,Cyt=i4(),Lyt=uI(),Pyt=Rd(),_V=$h(),Lme=_V.LINE_SPACING,Pme=_V.FROM_TL,Ime=_V.FROM_BR,gf=kme().cn;function Iyt(e){var t=e._fullLayout,r=t._infolayer.selectAll(\"g.\"+gf.colorbar).data(Ryt(e),function(n){return n._id});r.enter().append(\"g\").attr(\"class\",function(n){return n._id}).classed(gf.colorbar,!0),r.each(function(n){var i=w_.select(this);B0.ensureSingle(i,\"rect\",gf.cbbg),B0.ensureSingle(i,\"g\",gf.cbfills),B0.ensureSingle(i,\"g\",gf.cblines),B0.ensureSingle(i,\"g\",gf.cbaxis,function(o){o.classed(gf.crisp,!0)}),B0.ensureSingle(i,\"g\",gf.cbtitleunshift,function(o){o.append(\"g\").classed(gf.cbtitle,!0)}),B0.ensureSingle(i,\"rect\",gf.cboutline);var a=Dyt(i,n,e);a&&a.then&&(e._promises||[]).push(a),e._context.edits.colorbarPosition&&Fyt(i,n,e)}),r.exit().each(function(n){qI.autoMargin(e,n._id)}).remove(),r.order()}function Ryt(e){var t=e._fullLayout,r=e.calcdata,n=[],i,a,o,s;function l(E){return Rme(E,{_fillcolor:null,_line:{color:null,width:null,dash:null},_levels:{start:null,end:null,size:null},_filllevels:null,_fillgradient:null,_zrange:null})}function u(){typeof s.calc==\"function\"?s.calc(e,o,i):(i._fillgradient=a.reversescale?kyt(a.colorscale):a.colorscale,i._zrange=[a[s.min],a[s.max]])}for(var c=0;c<r.length;c++){var f=r[c];if(o=f[0].trace,!!o._module){var h=o._module.colorbar;if(o.visible===!0&&h)for(var d=Array.isArray(h),v=d?h:[h],_=0;_<v.length;_++){s=v[_];var b=s.container;a=b?o[b]:o,a&&a.showscale&&(i=l(a.colorbar),i._id=\"cb\"+o.uid+(d&&b?\"-\"+b:\"\"),i._traceIndex=o.index,i._propPrefix=(b?b+\".\":\"\")+\"colorbar.\",i._meta=o._meta,u(),n.push(i))}}}for(var p in t._colorAxes)if(a=t[p],a.showscale){var k=t._colorAxes[p];i=l(a.colorbar),i._id=\"cb\"+p,i._propPrefix=p+\".colorbar.\",i._meta=t._meta,s={min:\"cmin\",max:\"cmax\"},k[0]!==\"heatmap\"&&(o=k[1],s.calc=o._module.colorbar.calc),u(),n.push(i)}return n}function Dyt(e,t,r){var n=t.orientation===\"v\",i=t.len,a=t.lenmode,o=t.thickness,s=t.thicknessmode,l=t.outlinewidth,u=t.borderwidth,c=t.bgcolor,f=t.xanchor,h=t.yanchor,d=t.xpad,v=t.ypad,_=t.x,b=n?t.y:1-t.y,p=t.yref===\"paper\",k=t.xref===\"paper\",E=r._fullLayout,S=E._size,L=t._fillcolor,x=t._line,C=t.title,M=C.side,g=t._zrange||w_.extent((typeof L==\"function\"?L:x.color).domain()),P=typeof x.color==\"function\"?x.color:function(){return x.color},T=typeof L==\"function\"?L:function(){return L},z=t._levels,O=zyt(r,t,g),V=O.fill,G=O.line,Z=Math.round(o*(s===\"fraction\"?n?S.w:S.h:1)),j=Z/(n?S.w:S.h),N=Math.round(i*(a===\"fraction\"?n?S.h:S.w:1)),H=N/(n?S.h:S.w),te=k?S.w:r._fullLayout.width,oe=p?S.h:r._fullLayout.height,_e=Math.round(n?_*te+d:b*oe+v),Ee={center:.5,right:1}[f]||0,Ce={top:1,middle:.5}[h]||0,me=n?_-Ee*j:b-Ce*j,ie=n?b-Ce*H:_-Ee*H,Se=Math.round(n?oe*(1-ie):te*ie);t._lenFrac=H,t._thickFrac=j,t._uFrac=me,t._vFrac=ie;var Le=t._axis=Oyt(r,t,g);Le.position=j+(n?_+d/S.w:b+v/S.h);var Ae=[\"top\",\"bottom\"].indexOf(M)!==-1;if(n&&Ae&&(Le.title.side=M,Le.titlex=_+d/S.w,Le.titley=ie+(C.side===\"top\"?H-v/S.h:v/S.h)),!n&&!Ae&&(Le.title.side=M,Le.titley=b+v/S.h,Le.titlex=ie+d/S.w),x.color&&t.tickmode===\"auto\"){Le.tickmode=\"linear\",Le.tick0=z.start;var Fe=z.size,Pe=B0.constrain(N/50,4,15)+1,ge=(g[1]-g[0])/((t.nticks||Pe)*Fe);if(ge>1){var Re=Math.pow(10,Math.floor(Math.log(ge)/Math.LN10));Fe*=Re*B0.roundUp(ge/Re,[2,5,10]),(Math.abs(z.start)/z.size+1e-6)%1<2e-6&&(Le.tick0=0)}Le.dtick=Fe}Le.domain=n?[ie+v/S.h,ie+H-v/S.h]:[ie+d/S.w,ie+H-d/S.w],Le.setScale(),e.attr(\"transform\",Vg(Math.round(S.l),Math.round(S.t)));var ce=e.select(\".\"+gf.cbtitleunshift).attr(\"transform\",Vg(-Math.round(S.l),-Math.round(S.t))),Ze=Le.ticklabelposition,ut=Le.title.font.size,pt=e.select(\".\"+gf.cbaxis),Zt,st=0,lt=0;function Gt(cr,$e){var St={propContainer:Le,propName:t._propPrefix+\"title.text\",traceIndex:t._traceIndex,_meta:t._meta,placeholder:E._dfltTitle.colorbar,containerGroup:e.select(\".\"+gf.cbtitle)},Qt=cr.charAt(0)===\"h\"?cr.slice(1):\"h\"+cr;e.selectAll(\".\"+Qt+\",.\"+Qt+\"-math-group\").remove(),Myt.draw(r,cr,Rme(St,$e||{}))}function Nt(){if(n&&Ae||!n&&!Ae){var cr,$e;M===\"top\"&&(cr=d+S.l+te*_,$e=v+S.t+oe*(1-ie-H)+3+ut*.75),M===\"bottom\"&&(cr=d+S.l+te*_,$e=v+S.t+oe*(1-ie)-3-ut*.25),M===\"right\"&&($e=v+S.t+oe*b+3+ut*.75,cr=d+S.l+te*ie),Gt(Le._id+\"title\",{attributes:{x:cr,y:$e,\"text-anchor\":n?\"start\":\"middle\"}})}}function Jt(){if(n&&!Ae||!n&&Ae){var cr=Le.position||0,$e=Le._offset+Le._length/2,St,Qt;if(M===\"right\")Qt=$e,St=S.l+te*cr+10+ut*(Le.showticklabels?1:.5);else if(St=$e,M===\"bottom\"&&(Qt=S.t+oe*cr+10+(Ze.indexOf(\"inside\")===-1?Le.tickfont.size:0)+(Le.ticks!==\"inside\"&&t.ticklen||0)),M===\"top\"){var Vt=C.text.split(\"<br>\").length;Qt=S.t+oe*cr+10-Z-Lme*ut*Vt}Gt((n?\"h\":\"v\")+Le._id+\"title\",{avoid:{selection:w_.select(r).selectAll(\"g.\"+Le._id+\"tick\"),side:M,offsetTop:n?0:S.t,offsetLeft:n?S.l:0,maxShift:n?E.width:E.height},attributes:{x:St,y:Qt,\"text-anchor\":\"middle\"},transform:{rotate:n?-90:0,offset:0}})}}function sr(){if(!n&&!Ae||n&&Ae){var cr=e.select(\".\"+gf.cbtitle),$e=cr.select(\"text\"),St=[-l/2,l/2],Qt=cr.select(\".h\"+Le._id+\"title-math-group\").node(),Vt=15.6;$e.node()&&(Vt=parseInt($e.node().style.fontSize,10)*Lme);var _t;if(Qt?(_t=Ug.bBox(Qt),lt=_t.width,st=_t.height,st>Vt&&(St[1]-=(st-Vt)/2)):$e.node()&&!$e.classed(gf.jsPlaceholder)&&(_t=Ug.bBox($e.node()),lt=_t.width,st=_t.height),n){if(st){if(st+=5,M===\"top\")Le.domain[1]-=st/S.h,St[1]*=-1;else{Le.domain[0]+=st/S.h;var It=Eyt.lineCount($e);St[1]+=(1-It)*Vt}cr.attr(\"transform\",Vg(St[0],St[1])),Le.setScale()}}else lt&&(M===\"right\"&&(Le.domain[0]+=(lt+ut/2)/S.w),cr.attr(\"transform\",Vg(St[0],St[1])),Le.setScale())}e.selectAll(\".\"+gf.cbfills+\",.\"+gf.cblines).attr(\"transform\",n?Vg(0,Math.round(S.h*(1-Le.domain[1]))):Vg(Math.round(S.w*Le.domain[0]),0)),pt.attr(\"transform\",n?Vg(0,Math.round(-S.t)):Vg(Math.round(-S.l),0));var mt=e.select(\".\"+gf.cbfills).selectAll(\"rect.\"+gf.cbfill).attr(\"style\",\"\").data(V);mt.enter().append(\"rect\").classed(gf.cbfill,!0).attr(\"style\",\"\"),mt.exit().remove();var er=g.map(Le.c2p).map(Math.round).sort(function(Br,Vr){return Br-Vr});mt.each(function(Br,Vr){var dt=[Vr===0?g[0]:(V[Vr]+V[Vr-1])/2,Vr===V.length-1?g[1]:(V[Vr]+V[Vr+1])/2].map(Le.c2p).map(Math.round);n&&(dt[1]=B0.constrain(dt[1]+(dt[1]>dt[0])?1:-1,er[0],er[1]));var Ge=w_.select(this).attr(n?\"x\":\"y\",_e).attr(n?\"y\":\"x\",w_.min(dt)).attr(n?\"width\":\"height\",Math.max(Z,2)).attr(n?\"height\":\"width\",Math.max(w_.max(dt)-w_.min(dt),2));if(t._fillgradient)Ug.gradient(Ge,r,t._id,n?\"vertical\":\"horizontalreversed\",t._fillgradient,\"fill\");else{var Je=T(Br).replace(\"e-\",\"\");Ge.attr(\"fill\",gV(Je).toHexString())}});var lr=e.select(\".\"+gf.cblines).selectAll(\"path.\"+gf.cbline).data(x.color&&x.width?G:[]);lr.enter().append(\"path\").classed(gf.cbline,!0),lr.exit().remove(),lr.each(function(Br){var Vr=_e,dt=Math.round(Le.c2p(Br))+x.width/2%1;w_.select(this).attr(\"d\",\"M\"+(n?Vr+\",\"+dt:dt+\",\"+Vr)+(n?\"h\":\"v\")+Z).call(Ug.lineGroupStyle,x.width,P(Br),x.dash)}),pt.selectAll(\"g.\"+Le._id+\"tick,path\").remove();var Tr=_e+Z+(l||0)/2-(t.ticks===\"outside\"?1:0),Lr=Dy.calcTicks(Le),ti=Dy.getTickSigns(Le)[2];return Dy.drawTicks(r,Le,{vals:Le.ticks===\"inside\"?Dy.clipEnds(Le,Lr):Lr,layer:pt,path:Dy.makeTickPath(Le,Tr,ti),transFn:Dy.makeTransTickFn(Le)}),Dy.drawLabels(r,Le,{vals:Lr,layer:pt,transFn:Dy.makeTransTickLabelFn(Le),labelFns:Dy.makeLabelFns(Le,Tr)})}function wr(){var cr,$e=Z+l/2;Ze.indexOf(\"inside\")===-1&&(cr=Ug.bBox(pt.node()),$e+=n?cr.width:cr.height),Zt=ce.select(\"text\");var St=0,Qt=n&&M===\"top\",Vt=!n&&M===\"right\",_t=0;if(Zt.node()&&!Zt.classed(gf.jsPlaceholder)){var It,mt=ce.select(\".h\"+Le._id+\"title-math-group\").node();mt&&(n&&Ae||!n&&!Ae)?(cr=Ug.bBox(mt),St=cr.width,It=cr.height):(cr=Ug.bBox(ce.node()),St=cr.right-S.l-(n?_e:Se),It=cr.bottom-S.t-(n?Se:_e),!n&&M===\"top\"&&($e+=cr.height,_t=cr.height)),Vt&&(Zt.attr(\"transform\",Vg(St/2+ut/2,0)),St*=2),$e=Math.max($e,n?St:It)}var er=(n?d:v)*2+$e+u+l/2,lr=0;!n&&C.text&&h===\"bottom\"&&b<=0&&(lr=er/2,er+=lr,_t+=lr),E._hColorbarMoveTitle=lr,E._hColorbarMoveCBTitle=_t;var Tr=u+l,Lr=(n?_e:Se)-Tr/2-(n?d:0),ti=(n?Se:_e)-(n?N:v+_t-lr);e.select(\".\"+gf.cbbg).attr(\"x\",Lr).attr(\"y\",ti).attr(n?\"width\":\"height\",Math.max(er-lr,2)).attr(n?\"height\":\"width\",Math.max(N+Tr,2)).call(yV.fill,c).call(yV.stroke,t.bordercolor).style(\"stroke-width\",u);var Br=Vt?Math.max(St-10,0):0;e.selectAll(\".\"+gf.cboutline).attr(\"x\",(n?_e:Se+d)+Br).attr(\"y\",(n?Se+v-N:_e)+(Qt?st:0)).attr(n?\"width\":\"height\",Math.max(Z,2)).attr(n?\"height\":\"width\",Math.max(N-(n?2*v+st:2*d+Br),2)).call(yV.stroke,t.outlinecolor).style({fill:\"none\",\"stroke-width\":l});var Vr=n?Ee*er:0,dt=n?0:(1-Ce)*er-_t;if(Vr=k?S.l-Vr:-Vr,dt=p?S.t-dt:-dt,e.attr(\"transform\",Vg(Vr,dt)),!n&&(u||gV(c).getAlpha()&&!gV.equals(E.paper_bgcolor,c))){var Ge=pt.selectAll(\"text\"),Je=Ge[0].length,je=e.select(\".\"+gf.cbbg).node(),tt=Ug.bBox(je),xt=Ug.getTranslate(e),Ie=2;Ge.each(function(di,ji){var In=0,wi=Je-1;if(ji===In||ji===wi){var On=Ug.bBox(this),qn=Ug.getTranslate(this),Fn;if(ji===wi){var ra=On.right+qn.x,la=tt.right+xt.x+Se-u-Ie+_;Fn=la-ra,Fn>0&&(Fn=0)}else if(ji===In){var Ut=On.left+qn.x,wt=tt.left+xt.x+Se+u+Ie;Fn=wt-Ut,Fn<0&&(Fn=0)}Fn&&(Je<3?this.setAttribute(\"transform\",\"translate(\"+Fn+\",0) \"+this.getAttribute(\"transform\")):this.setAttribute(\"visibility\",\"hidden\"))}})}var xe={},ke=Pme[f],vt=Ime[f],ir=Pme[h],ar=Ime[h],vr=er-Z;n?(a===\"pixels\"?(xe.y=b,xe.t=N*ir,xe.b=N*ar):(xe.t=xe.b=0,xe.yt=b+i*ir,xe.yb=b-i*ar),s===\"pixels\"?(xe.x=_,xe.l=er*ke,xe.r=er*vt):(xe.l=vr*ke,xe.r=vr*vt,xe.xl=_-o*ke,xe.xr=_+o*vt)):(a===\"pixels\"?(xe.x=_,xe.l=N*ke,xe.r=N*vt):(xe.l=xe.r=0,xe.xl=_+i*ke,xe.xr=_-i*vt),s===\"pixels\"?(xe.y=1-b,xe.t=er*ir,xe.b=er*ar):(xe.t=vr*ir,xe.b=vr*ar,xe.yt=b-o*ir,xe.yb=b+o*ar));var ii=t.y<.5?\"b\":\"t\",pi=t.x<.5?\"l\":\"r\";r._fullLayout._reservedMargin[t._id]={};var $r={r:E.width-Lr-Vr,l:Lr+xe.r,b:E.height-ti-dt,t:ti+xe.b};k&&p?qI.autoMargin(r,t._id,xe):k?r._fullLayout._reservedMargin[t._id][ii]=$r[ii]:p||n?r._fullLayout._reservedMargin[t._id][pi]=$r[pi]:r._fullLayout._reservedMargin[t._id][ii]=$r[ii]}return B0.syncOrAsync([qI.previousPromises,Nt,sr,Jt,qI.previousPromises,wr],r)}function Fyt(e,t,r){var n=t.orientation===\"v\",i=r._fullLayout,a=i._size,o,s,l;OI.init({element:e.node(),gd:r,prepFn:function(){o=e.attr(\"transform\"),mV(e)},moveFn:function(u,c){e.attr(\"transform\",o+Vg(u,c)),s=OI.align((n?t._uFrac:t._vFrac)+u/a.w,n?t._thickFrac:t._lenFrac,0,1,t.xanchor),l=OI.align((n?t._vFrac:1-t._uFrac)-c/a.h,n?t._lenFrac:t._thickFrac,0,1,t.yanchor);var f=OI.getCursor(s,l,t.xanchor,t.yanchor);mV(e,f)},doneFn:function(){if(mV(e),s!==void 0&&l!==void 0){var u={};u[t._propPrefix+\"x\"]=s,u[t._propPrefix+\"y\"]=l,t._traceIndex!==void 0?Cme.call(\"_guiRestyle\",r,u,t._traceIndex):Cme.call(\"_guiRelayout\",r,u)}}})}function zyt(e,t,r){var n=t._levels,i=[],a=[],o,s,l=n.end+n.size/100,u=n.size,c=1.001*r[0]-.001*r[1],f=1.001*r[1]-.001*r[0];for(s=0;s<1e5&&(o=n.start+s*u,!(u>0?o>=l:o<=l));s++)o>c&&o<f&&i.push(o);if(t._fillgradient)a=[0];else if(typeof t._fillcolor==\"function\"){var h=t._filllevels;if(h)for(l=h.end+h.size/100,u=h.size,s=0;s<1e5&&(o=h.start+s*u,!(u>0?o>=l:o<=l));s++)o>r[0]&&o<r[1]&&a.push(o);else a=i.map(function(d){return d-n.size/2}),a.push(a[a.length-1]+n.size)}else t._fillcolor&&typeof t._fillcolor==\"string\"&&(a=[0]);return n.size<0&&(i.reverse(),a.reverse()),{line:i,fill:a}}function Oyt(e,t,r){var n=e._fullLayout,i=t.orientation===\"v\",a={type:\"linear\",range:r,tickmode:t.tickmode,nticks:t.nticks,tick0:t.tick0,dtick:t.dtick,tickvals:t.tickvals,ticktext:t.ticktext,ticks:t.ticks,ticklen:t.ticklen,tickwidth:t.tickwidth,tickcolor:t.tickcolor,showticklabels:t.showticklabels,labelalias:t.labelalias,ticklabelposition:t.ticklabelposition,ticklabeloverflow:t.ticklabeloverflow,ticklabelstep:t.ticklabelstep,tickfont:t.tickfont,tickangle:t.tickangle,tickformat:t.tickformat,exponentformat:t.exponentformat,minexponent:t.minexponent,separatethousands:t.separatethousands,showexponent:t.showexponent,showtickprefix:t.showtickprefix,tickprefix:t.tickprefix,showticksuffix:t.showticksuffix,ticksuffix:t.ticksuffix,title:t.title,showline:!0,anchor:\"free\",side:i?\"right\":\"bottom\",position:1},o=i?\"y\":\"x\",s={type:\"linear\",_id:o+t._id},l={letter:o,font:n.font,noAutotickangles:o===\"y\",noHover:!0,noTickson:!0,noTicklabelmode:!0,noInsideRange:!0,calendar:n.calendar};function u(c,f){return B0.coerce(a,s,Pyt,c,f)}return Cyt(a,s,u,l,n),Lyt(a,s,u,l),s}Dme.exports={draw:Iyt}});var Ome=ye((Ilr,zme)=>{\"use strict\";zme.exports={moduleType:\"component\",name:\"colorbar\",attributes:tL(),supplyDefaults:Pq(),draw:Fme().draw,hasColorbar:Aq()}});var Bme=ye((Rlr,qme)=>{\"use strict\";qme.exports={moduleType:\"component\",name:\"legend\",layoutAttributes:SB(),supplyLayoutDefaults:EB(),draw:BB(),style:FB()}});var Ume=ye((Dlr,Nme)=>{\"use strict\";Nme.exports={moduleType:\"locale\",name:\"en\",dictionary:{\"Click to enter Colorscale title\":\"Click to enter Colourscale title\"},format:{days:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],shortDays:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],months:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],shortMonths:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],periods:[\"AM\",\"PM\"],dateTime:\"%a %b %e %X %Y\",date:\"%d/%m/%Y\",time:\"%H:%M:%S\",decimal:\".\",thousands:\",\",grouping:[3],currency:[\"$\",\"\"],year:\"%Y\",month:\"%b %Y\",dayMonth:\"%b %-d\",dayMonthYear:\"%b %-d, %Y\"}}});var Gme=ye((Flr,Vme)=>{\"use strict\";Vme.exports={moduleType:\"locale\",name:\"en-US\",dictionary:{\"Click to enter Colorscale title\":\"Click to enter Colorscale title\"},format:{date:\"%m/%d/%Y\"}}});var bV=ye((zlr,Xme)=>{\"use strict\";var qyt=qa(),Wme=Dr(),xV=Wme.extendFlat,Hme=Wme.extendDeep;function jme(e){var t;switch(e){case\"themes__thumb\":t={autosize:!0,width:150,height:150,title:{text:\"\"},showlegend:!1,margin:{l:5,r:5,t:5,b:5,pad:0},annotations:[]};break;case\"thumbnail\":t={title:{text:\"\"},hidesources:!0,showlegend:!1,borderwidth:0,bordercolor:\"\",margin:{l:1,r:1,t:1,b:1,pad:0},annotations:[]};break;default:t={}}return t}function Byt(e){var t=[\"xaxis\",\"yaxis\",\"zaxis\"];return t.indexOf(e.slice(0,5))>-1}Xme.exports=function(t,r){var n,i=t.data,a=t.layout,o=Hme([],i),s=Hme({},a,jme(r.tileClass)),l=t._context||{};if(r.width&&(s.width=r.width),r.height&&(s.height=r.height),r.tileClass===\"thumbnail\"||r.tileClass===\"themes__thumb\"){s.annotations=[];var u=Object.keys(s);for(n=0;n<u.length;n++)Byt(u[n])&&(s[u[n]].title={text:\"\"});for(n=0;n<o.length;n++){var c=o[n];c.showscale=!1,c.marker&&(c.marker.showscale=!1),qyt.traceIs(c,\"pie-like\")&&(c.textposition=\"none\")}}if(Array.isArray(r.annotations))for(n=0;n<r.annotations.length;n++)s.annotations.push(r.annotations[n]);var f=Object.keys(s).filter(function(b){return b.match(/^scene\\d*$/)});if(f.length){var h={};for(r.tileClass===\"thumbnail\"&&(h={title:{text:\"\"},showaxeslabels:!1,showticklabels:!1,linetickenable:!1}),n=0;n<f.length;n++){var d=s[f[n]];d.xaxis||(d.xaxis={}),d.yaxis||(d.yaxis={}),d.zaxis||(d.zaxis={}),xV(d.xaxis,h),xV(d.yaxis,h),xV(d.zaxis,h),d._scene=null}}var v=document.createElement(\"div\");r.tileClass&&(v.className=r.tileClass);var _={gd:v,td:v,layout:s,data:o,config:{staticPlot:r.staticPlot===void 0?!0:r.staticPlot,plotGlPixelRatio:r.plotGlPixelRatio===void 0?2:r.plotGlPixelRatio,displaylogo:r.displaylogo||!1,showLink:r.showLink||!1,showTips:r.showTips||!1,mapboxAccessToken:l.mapboxAccessToken}};return r.setBackground!==\"transparent\"&&(_.config.setBackground=r.setBackground||\"opaque\"),_.gd.defaultLayout=jme(r.tileClass),_}});var Kme=ye((Olr,Yme)=>{\"use strict\";var Nyt=pb().EventEmitter,Uyt=qa(),Vyt=Dr(),Zme=Py(),Gyt=bV(),Hyt=jP(),jyt=WP();function Wyt(e,t){var r=new 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i=Qd.getValue(t.family,r),a=Qd.getValue(t.size,r),o=Qd.getValue(t.color,r),s=Qd.getValue(t.weight,r),l=Qd.getValue(t.style,r),u=Qd.getValue(t.variant,r),c=Qd.getValue(t.textcase,r),f=Qd.getValue(t.lineposition,r),h=Qd.getValue(t.shadow,r);return{family:Qd.coerceString(e.family,i,n.family),size:Qd.coerceNumber(e.size,a,n.size),color:Qd.coerceColor(e.color,o,n.color),weight:Qd.coerceString(e.weight,s,n.weight),style:Qd.coerceString(e.style,l,n.style),variant:Qd.coerceString(e.variant,u,n.variant),textcase:Qd.coerceString(e.variant,c,n.textcase),lineposition:Qd.coerceString(e.variant,f,n.lineposition),shadow:Qd.coerceString(e.variant,h,n.shadow)}}function Nye(e,t){return t.type===\"waterfall\"?t[e.dir].marker.color:e.mcc||e.mc||t.marker.color}Uye.exports={style:P1t,styleTextPoints:Fye,styleOnSelect:I1t,getInsideTextFont:qye,getOutsideTextFont:Bye,getBarColor:Nye,resizeText:Rye}});var n2=ye(($lr,Yye)=>{\"use strict\";var jI=Oa(),WI=Eo(),Fd=Dr(),F1t=ru(),z1t=ka(),T_=So(),O1t=qa(),XI=ho().tickText,Vye=bv(),q1t=Vye.recordMinTextSize,B1t=Vye.clearMinTextSize,kV=N0(),MT=HI(),N1t=e2(),Gye=Lm(),U1t=Gye.text,V1t=Gye.textposition,G1t=ip().appendArrayPointValue,Gv=N1t.TEXTPAD;function H1t(e){return e.id}function j1t(e){if(e.ids)return H1t}function CV(e){return(e>0)-(e<0)}function Pm(e,t){return e<t?1:-1}function W1t(e,t,r,n){var i=[],a=[],o=n?t:r,s=n?r:t;return i[0]=o.c2p(e.s0,!0),a[0]=s.c2p(e.p0,!0),i[1]=o.c2p(e.s1,!0),a[1]=s.c2p(e.p1,!0),n?[i,a]:[a,i]}function Hye(e,t,r,n){if(!t.uniformtext.mode&&jye(r)){var i;return n&&(i=n()),e.transition().duration(r.duration).ease(r.easing).each(\"end\",function(){i&&i()}).each(\"interrupt\",function(){i&&i()})}else return e}function jye(e){return e&&e.duration>0}function X1t(e,t,r,n,i,a){var o=t.xaxis,s=t.yaxis,l=e._fullLayout,u=e._context.staticPlot;i||(i={mode:l.barmode,norm:l.barmode,gap:l.bargap,groupgap:l.bargroupgap},B1t(\"bar\",l));var c=Fd.makeTraceGroups(n,r,\"trace bars\").each(function(f){var h=jI.select(this),d=f[0].trace,v=f[0].t,_=d.type===\"waterfall\",b=d.type===\"funnel\",p=d.type===\"histogram\",k=d.type===\"bar\",E=k||b,S=0;_&&d.connector.visible&&d.connector.mode===\"between\"&&(S=d.connector.line.width/2);var L=d.orientation===\"h\",x=jye(i),C=Fd.ensureSingle(h,\"g\",\"points\"),M=j1t(d),g=C.selectAll(\"g.point\").data(Fd.identity,M);g.enter().append(\"g\").classed(\"point\",!0),g.exit().remove(),g.each(function(T,z){var O=jI.select(this),V=W1t(T,o,s,L),G=V[0][0],Z=V[0][1],j=V[1][0],N=V[1][1],H=(L?Z-G:N-j)===0;H&&E&&MT.getLineWidth(d,T)&&(H=!1),H||(H=!WI(G)||!WI(Z)||!WI(j)||!WI(N)),T.isBlank=H,H&&(L?Z=G:N=j),S&&!H&&(L?(G-=Pm(G,Z)*S,Z+=Pm(G,Z)*S):(j-=Pm(j,N)*S,N+=Pm(j,N)*S));var te,oe;if(d.type===\"waterfall\"){if(!H){var _e=d[T.dir].marker;te=_e.line.width,oe=_e.color}}else te=MT.getLineWidth(d,T),oe=T.mc||d.marker.color;function Ee($e){var St=jI.round(te/2%1,2);return 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me=_e>0&&Ee>0,ie;g?M?ie=i2(N-2*u,H,_e,Ee,E)||i2(N,H-2*u,_e,Ee,E):E?ie=i2(N-(u-c),H,_e,Ee,E)||i2(N,H-2*(u-c),_e,Ee,E):ie=i2(N,H-(u-c),_e,Ee,E)||i2(N-2*(u-c),H,_e,Ee,E):ie=i2(N,H,_e,Ee,E),me&&ie?b=\"inside\":(b=\"outside\",te.remove(),te=null)}else b=\"inside\";if(!te){Ce=Fd.ensureUniformFontSize(e,b===\"outside\"?O:z),te=p(r,S,Ce);var Se=te.attr(\"transform\");if(te.attr(\"transform\",\"\"),oe=T_.bBox(te.node()),_e=oe.width,Ee=oe.height,te.attr(\"transform\",Se),_e<=0||Ee<=0){te.remove();return}}var Le=k.textangle,Ae,Fe;b===\"outside\"?(Fe=k.constraintext===\"both\"||k.constraintext===\"outside\",Ae=K1t(a,o,s,l,oe,{isHorizontal:E,constrained:Fe,angle:Le})):(Fe=k.constraintext===\"both\"||k.constraintext===\"inside\",Ae=Zye(a,o,s,l,oe,{isHorizontal:E,constrained:Fe,angle:Le,anchor:V,hasB:M,r:u,overhead:c})),Ae.fontSize=Ce.size,q1t(k.type===\"histogram\"?\"bar\":k.type,Ae,_),x.transform=Ae;var Pe=Hye(te,_,f,h);Fd.setTransormAndDisplay(Pe,Ae)}function i2(e,t,r,n,i){if(e<0||t<0)return!1;var a=r<=e&&n<=t,o=r<=t&&n<=e,s=i?e>=r*(t/n):t>=n*(e/r);return a||o||s}function Wye(e){return e===\"auto\"?0:e}function Xye(e,t){var r=Math.PI/180*t,n=Math.abs(Math.sin(r)),i=Math.abs(Math.cos(r));return{x:e.width*i+e.height*n,y:e.width*n+e.height*i}}function Zye(e,t,r,n,i,a){var o=!!a.isHorizontal,s=!!a.constrained,l=a.angle||0,u=a.anchor,c=u===\"end\",f=u===\"start\",h=a.leftToRight||0,d=(h+1)/2,v=1-d,_=a.hasB,b=a.r,p=a.overhead,k=i.width,E=i.height,S=Math.abs(t-e),L=Math.abs(n-r),x=S>2*Gv&&L>2*Gv?Gv:0;S-=2*x,L-=2*x;var C=Wye(l);l===\"auto\"&&!(k<=S&&E<=L)&&(k>S||E>L)&&(!(k>L||E>S)||k<E!=S<L)&&(C+=90);var M=Xye(i,C),g,P;if(b&&b-p>Gv){var T=Y1t(e,t,r,n,M,b,p,o,_);g=T.scale,P=T.pad}else g=1,s&&(g=Math.min(1,S/M.x,L/M.y)),P=0;var z=i.left*v+i.right*d,O=(i.top+i.bottom)/2,V=(e+Gv)*v+(t-Gv)*d,G=(r+n)/2,Z=0,j=0;if(f||c){var N=(o?M.x:M.y)/2;b&&(c||_)&&(x+=P);var H=o?Pm(e,t):Pm(r,n);o?f?(V=e+H*x,Z=-H*N):(V=t-H*x,Z=H*N):f?(G=r+H*x,j=-H*N):(G=n-H*x,j=H*N)}return{textX:z,textY:O,targetX:V,targetY:G,anchorX:Z,anchorY:j,scale:g,rotate:C}}function Y1t(e,t,r,n,i,a,o,s,l){var u=Math.max(0,Math.abs(t-e)-2*Gv),c=Math.max(0,Math.abs(n-r)-2*Gv),f=a-Gv,h=o?f-Math.sqrt(f*f-(f-o)*(f-o)):f,d=l?f*2:s?f-o:2*h,v=l?f*2:s?2*h:f-o,_,b,p,k,E;return i.y/i.x>=c/(u-d)?k=c/i.y:i.y/i.x<=(c-v)/u?k=u/i.x:!l&&s?(_=i.x*i.x+i.y*i.y/4,b=-2*i.x*(u-f)-i.y*(c/2-f),p=(u-f)*(u-f)+(c/2-f)*(c/2-f)-f*f,k=(-b+Math.sqrt(b*b-4*_*p))/(2*_)):l?(_=(i.x*i.x+i.y*i.y)/4,b=-i.x*(u/2-f)-i.y*(c/2-f),p=(u/2-f)*(u/2-f)+(c/2-f)*(c/2-f)-f*f,k=(-b+Math.sqrt(b*b-4*_*p))/(2*_)):(_=i.x*i.x/4+i.y*i.y,b=-i.x*(u/2-f)-2*i.y*(c-f),p=(u/2-f)*(u/2-f)+(c-f)*(c-f)-f*f,k=(-b+Math.sqrt(b*b-4*_*p))/(2*_)),k=Math.min(1,k),s?E=Math.max(0,f-Math.sqrt(Math.max(0,f*f-(f-(c-i.y*k)/2)*(f-(c-i.y*k)/2)))-o):E=Math.max(0,f-Math.sqrt(Math.max(0,f*f-(f-(u-i.x*k)/2)*(f-(u-i.x*k)/2)))-o),{scale:k,pad:E}}function K1t(e,t,r,n,i,a){var o=!!a.isHorizontal,s=!!a.constrained,l=a.angle||0,u=i.width,c=i.height,f=Math.abs(t-e),h=Math.abs(n-r),d;o?d=h>2*Gv?Gv:0:d=f>2*Gv?Gv:0;var v=1;s&&(v=o?Math.min(1,h/c):Math.min(1,f/u));var _=Wye(l),b=Xye(i,_),p=(o?b.x:b.y)/2,k=(i.left+i.right)/2,E=(i.top+i.bottom)/2,S=(e+t)/2,L=(r+n)/2,x=0,C=0,M=o?Pm(t,e):Pm(r,n);return o?(S=t-M*d,x=M*p):(L=n+M*d,C=-M*p),{textX:k,textY:E,targetX:S,targetY:L,anchorX:x,anchorY:C,scale:v,rotate:_}}function J1t(e,t,r,n,i){var a=t[0].trace,o=a.texttemplate,s;return o?s=Q1t(e,t,r,n,i):a.textinfo?s=e_t(t,r,n,i):s=MT.getValue(a.text,r),MT.coerceString(U1t,s)}function $1t(e,t){var r=MT.getValue(e.textposition,t);return MT.coerceEnumerated(V1t,r)}function Q1t(e,t,r,n,i){var a=t[0].trace,o=Fd.castOption(a,r,\"texttemplate\");if(!o)return\"\";var s=a.type===\"histogram\",l=a.type===\"waterfall\",u=a.type===\"funnel\",c=a.orientation===\"h\",f,h,d,v;c?(f=\"y\",h=i,d=\"x\",v=n):(f=\"x\",h=n,d=\"y\",v=i);function _(x){return XI(h,h.c2l(x),!0).text}function b(x){return XI(v,v.c2l(x),!0).text}var p=t[r],k={};k.label=p.p,k.labelLabel=k[f+\"Label\"]=_(p.p);var E=Fd.castOption(a,p.i,\"text\");(E===0||E)&&(k.text=E),k.value=p.s,k.valueLabel=k[d+\"Label\"]=b(p.s);var S={};G1t(S,a,p.i),(s||S.x===void 0)&&(S.x=c?k.value:k.label),(s||S.y===void 0)&&(S.y=c?k.label:k.value),(s||S.xLabel===void 0)&&(S.xLabel=c?k.valueLabel:k.labelLabel),(s||S.yLabel===void 0)&&(S.yLabel=c?k.labelLabel:k.valueLabel),l&&(k.delta=+p.rawS||p.s,k.deltaLabel=b(k.delta),k.final=p.v,k.finalLabel=b(k.final),k.initial=k.final-k.delta,k.initialLabel=b(k.initial)),u&&(k.value=p.s,k.valueLabel=b(k.value),k.percentInitial=p.begR,k.percentInitialLabel=Fd.formatPercent(p.begR),k.percentPrevious=p.difR,k.percentPreviousLabel=Fd.formatPercent(p.difR),k.percentTotal=p.sumR,k.percenTotalLabel=Fd.formatPercent(p.sumR));var L=Fd.castOption(a,p.i,\"customdata\");return L&&(k.customdata=L),Fd.texttemplateString({data:[S,k,a._meta],fallback:a.texttemplatefallback,labels:k,locale:e._d3locale,template:o})}function e_t(e,t,r,n){var i=e[0].trace,a=i.orientation===\"h\",o=i.type===\"waterfall\",s=i.type===\"funnel\";function l(L){var x=a?n:r;return XI(x,L,!0).text}function u(L){var x=a?r:n;return XI(x,+L,!0).text}var c=i.textinfo,f=e[t],h=c.split(\"+\"),d=[],v,_=function(L){return h.indexOf(L)!==-1};if(_(\"label\")&&d.push(l(e[t].p)),_(\"text\")&&(v=Fd.castOption(i,f.i,\"text\"),(v===0||v)&&d.push(v)),o){var b=+f.rawS||f.s,p=f.v,k=p-b;_(\"initial\")&&d.push(u(k)),_(\"delta\")&&d.push(u(b)),_(\"final\")&&d.push(u(p))}if(s){_(\"value\")&&d.push(u(f.s));var E=0;_(\"percent initial\")&&E++,_(\"percent previous\")&&E++,_(\"percent total\")&&E++;var S=E>1;_(\"percent initial\")&&(v=Fd.formatPercent(f.begR),S&&(v+=\" of initial\"),d.push(v)),_(\"percent previous\")&&(v=Fd.formatPercent(f.difR),S&&(v+=\" of previous\"),d.push(v)),_(\"percent 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e&&(r.type===\"category\"||IV(e.name)&&[\"linear\",\"log\"].indexOf(r.type)!==-1||gh.isDateTime(e.name)&&r.type===\"date\")?u=e.name:u=n;for(var c=r.type===\"multicategory\"?r.r2c_just_indices(u):r.d2c(u,0,e[t+\"calendar\"]),f=e._length,h=new Array(f),d=0;d<f;d++)h[d]=c;return[h]}function T_t(e,t){for(var r=e.length,n=new Array(r+1),i=0;i<r;i++)n[i]=e[i]-t;return n[r]=e[r-1]+t,n}function A_t(e){for(var t=new Array(e),r=0;r<e;r++)t[r]=[];return t}var PV={text:\"tx\",hovertext:\"htx\"};function y1e(e,t,r){for(var n in PV)gh.isArrayOrTypedArray(t[n])&&(Array.isArray(r)?gh.isArrayOrTypedArray(t[n][r[0]])&&(e[PV[n]]=t[n][r[0]][r[1]]):e[PV[n]]=t[n][r])}function S_t(e,t){if(gh.isArrayOrTypedArray(t.selectedpoints))for(var r=0;r<e.length;r++){for(var n=e[r].pts||[],i={},a=0;a<n.length;a++)i[n[a].i]=a;gh.tagSelected(n,t,i)}}function _1e(e,t){return e.v-t.v}function x1e(e){return e.v}function b1e(e,t,r){return 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d=M_t.distinctVals(f);(n.type===\"category\"||n.type===\"multicategory\")&&(d.minDiff=1);var v=d.minDiff/2;E1e.minDtick(n,d.minDiff,d.vals[0],!0);var _=e===\"violin\"?\"_numViolins\":\"_numBoxes\",b=a[_],p=a[e+\"mode\"]===\"group\"&&b>1,k=1-a[e+\"gap\"],E=1-a[e+\"groupgap\"];for(l=0;l<r.length;l++){c=i[r[l]];var S=c[0].trace,L=c[0].t,x=S.width,C=S.side,M,g,P,T;if(x)M=g=T=x/2,P=0;else if(M=v,p){var z=E_t(a,n._id)+S.orientation,O=a._alignmentOpts[z]||{},V=O[S.alignmentgroup]||{},G=Object.keys(V.offsetGroups||{}).length,Z=G||b,j=G?S._offsetIndex:L.num;g=M*k*E/Z,P=2*M*(-.5+(j+.5)/Z)*k,T=M*k/Z}else g=M*k*E,P=0,T=M;L.dPos=M,L.bPos=P,L.bdPos=g,L.wHover=T;var N,H,te=P+g,oe,_e,Ee,Ce,me,ie,Se=!!x,Le=(S.boxpoints||S.points)&&h>0;if(C===\"positive\"?(N=M*(x?1:.5),oe=te,H=oe=P):C===\"negative\"?(N=oe=P,H=M*(x?1:.5),_e=te):(N=H=M,oe=_e=te),Le){var Ae=S.pointpos,Fe=S.jitter,Pe=S.marker.size/2,ge=0;Ae+Fe>=0&&(ge=te*(Ae+Fe),ge>N?(Se=!0,me=Pe,Ee=ge):ge>oe&&(me=Pe,Ee=N)),ge<=N&&(Ee=N);var Re=0;Ae-Fe<=0&&(Re=-te*(Ae-Fe),Re>H?(Se=!0,ie=Pe,Ce=Re):Re>_e&&(ie=Pe,Ce=H)),Re<=H&&(Ce=H)}else Ee=N,Ce=H;var ce=new Array(c.length);for(u=0;u<c.length;u++)ce[u]=c[u].pos;S._extremes[o]=E1e.findExtremes(n,ce,{padded:Se,vpadminus:Ce,vpadplus:Ee,vpadLinearized:!0,ppadminus:{x:ie,y:me}[s],ppadplus:{x:me,y:ie}[s]})}}}L1e.exports={crossTraceCalc:k_t,setPositionOffset:C1e}});var JI=ye((cur,F1e)=>{\"use strict\";var LT=Oa(),a2=Dr(),C_t=So(),P1e=5,L_t=.01;function P_t(e,t,r,n){var i=e._context.staticPlot,a=t.xaxis,o=t.yaxis;a2.makeTraceGroups(n,r,\"trace boxes\").each(function(s){var l=LT.select(this),u=s[0],c=u.t,f=u.trace;if(c.wdPos=c.bdPos*f.whiskerwidth,f.visible!==!0||c.empty){l.remove();return}var h,d;f.orientation===\"h\"?(h=o,d=a):(h=a,d=o),I1e(l,{pos:h,val:d},f,c,i),R1e(l,{x:a,y:o},f,c),D1e(l,{pos:h,val:d},f,c)})}function I1e(e,t,r,n,i){var a=r.orientation===\"h\",o=t.val,s=t.pos,l=!!s.rangebreaks,u=n.bPos,c=n.wdPos||0,f=n.bPosPxOffset||0,h=r.whiskerwidth||0,d=r.showwhiskers!==!1,v=r.notched||!1,_=v?1-2*r.notchwidth:1,b,p;Array.isArray(n.bdPos)?(b=n.bdPos[0],p=n.bdPos[1]):(b=n.bdPos,p=n.bdPos);var k=e.selectAll(\"path.box\").data(r.type!==\"violin\"||r.box.visible?a2.identity:[]);k.enter().append(\"path\").style(\"vector-effect\",i?\"none\":\"non-scaling-stroke\").attr(\"class\",\"box\"),k.exit().remove(),k.each(function(E){if(E.empty)return LT.select(this).attr(\"d\",\"M0,0Z\");var S=s.c2l(E.pos+u,!0),L=s.l2p(S-b)+f,x=s.l2p(S+p)+f,C=l?(L+x)/2:s.l2p(S)+f,M=r.whiskerwidth,g=l?L*M+(1-M)*C:s.l2p(S-c)+f,P=l?x*M+(1-M)*C:s.l2p(S+c)+f,T=s.l2p(S-b*_)+f,z=s.l2p(S+p*_)+f,O=r.sizemode===\"sd\",V=o.c2p(O?E.mean-E.sd:E.q1,!0),G=O?o.c2p(E.mean+E.sd,!0):o.c2p(E.q3,!0),Z=a2.constrain(O?o.c2p(E.mean,!0):o.c2p(E.med,!0),Math.min(V,G)+1,Math.max(V,G)-1),j=E.lf===void 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h.forEach(function(d){d.t=n,d.trace=r}),h},c=e.selectAll(\"g.points\").data(l?u:[]);c.enter().append(\"g\").attr(\"class\",\"points\"),c.exit().remove();var f=c.selectAll(\"path\").data(function(h){var d,v=h.pts2,_=Math.max((h.max-h.min)/10,h.q3-h.q1),b=_*1e-9,p=_*L_t,k=[],E=0,S;if(r.jitter){if(_===0)for(E=1,k=new Array(v.length),d=0;d<v.length;d++)k[d]=1;else for(d=0;d<v.length;d++){var L=Math.max(0,d-P1e),x=v[L].v,C=Math.min(v.length-1,d+P1e),M=v[C].v;l!==\"all\"&&(v[d].v<h.lf?M=Math.min(M,h.lf):x=Math.max(x,h.uf));var g=Math.sqrt(p*(C-L)/(M-x+b))||0;g=a2.constrain(Math.abs(g),0,1),k.push(g),E=Math.max(g,E)}S=r.jitter*2/(E||1)}for(d=0;d<v.length;d++){var P=v[d],T=P.v,z=r.jitter?S*k[d]*(a2.pseudoRandom()-.5):0,O=h.pos+s+o*(r.pointpos+z);r.orientation===\"h\"?(P.y=O,P.x=T):(P.x=O,P.y=T),l===\"suspectedoutliers\"&&T<h.uo&&T>h.lo&&(P.so=!0)}return v});f.enter().append(\"path\").classed(\"point\",!0),f.exit().remove(),f.call(C_t.translatePoints,i,a)}function D1e(e,t,r,n){var i=t.val,a=t.pos,o=!!a.rangebreaks,s=n.bPos,l=n.bPosPxOffset||0,u=r.boxmean||(r.meanline||{}).visible,c,f;Array.isArray(n.bdPos)?(c=n.bdPos[0],f=n.bdPos[1]):(c=n.bdPos,f=n.bdPos);var h=e.selectAll(\"path.mean\").data(r.type===\"box\"&&r.boxmean||r.type===\"violin\"&&r.box.visible&&r.meanline.visible?a2.identity:[]);h.enter().append(\"path\").attr(\"class\",\"mean\").style({fill:\"none\",\"vector-effect\":\"non-scaling-stroke\"}),h.exit().remove(),h.each(function(d){var v=a.c2l(d.pos+s,!0),_=a.l2p(v-c)+l,b=a.l2p(v+f)+l,p=o?(_+b)/2:a.l2p(v)+l,k=i.c2p(d.mean,!0),E=i.c2p(d.mean-d.sd,!0),S=i.c2p(d.mean+d.sd,!0);r.orientation===\"h\"?LT.select(this).attr(\"d\",\"M\"+k+\",\"+_+\"V\"+b+(u===\"sd\"?\"m0,0L\"+E+\",\"+p+\"L\"+k+\",\"+_+\"L\"+S+\",\"+p+\"Z\":\"\")):LT.select(this).attr(\"d\",\"M\"+_+\",\"+k+\"H\"+b+(u===\"sd\"?\"m0,0L\"+p+\",\"+E+\"L\"+_+\",\"+k+\"L\"+p+\",\"+S+\"Z\":\"\"))})}F1e.exports={plot:P_t,plotBoxAndWhiskers:I1e,plotPoints:R1e,plotBoxMean:D1e}});var $I=ye((fur,z1e)=>{\"use 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D_t=ho(),OV=Dr(),A_=vf(),O1e=ka(),F_t=OV.fillText;function z_t(e,t,r,n){var i=e.cd,a=i[0].trace,o=a.hoveron,s=[],l;return o.indexOf(\"boxes\")!==-1&&(s=s.concat(q1e(e,t,r,n))),o.indexOf(\"points\")!==-1&&(l=B1e(e,t,r)),n===\"closest\"?l?[l]:s:(l&&s.push(l),s)}function q1e(e,t,r,n){var i=e.cd,a=e.xa,o=e.ya,s=i[0].trace,l=i[0].t,u=s.type===\"violin\",c,f,h,d,v,_,b,p,k,E,S,L=l.bdPos,x,C,M=l.wHover,g=function(Pe){return h.c2l(Pe.pos)+l.bPos-h.c2l(_)};u&&s.side!==\"both\"?(s.side===\"positive\"&&(k=function(Pe){var ge=g(Pe);return A_.inbox(ge,ge+M,E)},x=L,C=0),s.side===\"negative\"&&(k=function(Pe){var ge=g(Pe);return A_.inbox(ge-M,ge,E)},x=0,C=L)):(k=function(Pe){var ge=g(Pe);return A_.inbox(ge-M,ge+M,E)},x=C=L);var P;u?P=function(Pe){return A_.inbox(Pe.span[0]-v,Pe.span[1]-v,E)}:P=function(Pe){return A_.inbox(Pe.min-v,Pe.max-v,E)},s.orientation===\"h\"?(v=t,_=r,b=P,p=k,c=\"y\",h=o,f=\"x\",d=a):(v=r,_=t,b=k,p=P,c=\"x\",h=a,f=\"y\",d=o);var T=Math.min(1,L/Math.abs(h.r2c(h.range[1])-h.r2c(h.range[0])));E=e.maxHoverDistance-T,S=e.maxSpikeDistance-T;function z(Pe){return(b(Pe)+p(Pe))/2}var O=A_.getDistanceFunction(n,b,p,z);if(A_.getClosest(i,O,e),e.index===!1)return[];var V=i[e.index],G=s.line.color,Z=(s.marker||{}).color;O1e.opacity(G)&&s.line.width?e.color=G:O1e.opacity(Z)&&s.boxpoints?e.color=Z:e.color=s.fillcolor,e[c+\"0\"]=h.c2p(V.pos+l.bPos-C,!0),e[c+\"1\"]=h.c2p(V.pos+l.bPos+x,!0),e[c+\"LabelVal\"]=V.orig_p!==void 0?V.orig_p:V.pos;var j=c+\"Spike\";e.spikeDistance=z(V)*S/E,e[j]=h.c2p(V.pos,!0);var N=s.boxmean||s.sizemode===\"sd\"||(s.meanline||{}).visible,H=s.boxpoints||s.points,te=H&&N?[\"max\",\"uf\",\"q3\",\"med\",\"mean\",\"q1\",\"lf\",\"min\"]:H&&!N?[\"max\",\"uf\",\"q3\",\"med\",\"q1\",\"lf\",\"min\"]:!H&&N?[\"max\",\"q3\",\"med\",\"mean\",\"q1\",\"min\"]:[\"max\",\"q3\",\"med\",\"q1\",\"min\"],oe=d.range[1]<d.range[0];s.orientation===(oe?\"v\":\"h\")&&te.reverse();for(var 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c=(e.level-a)/(e.z[i+1][n]-a),f=(c!==1?(1-c)*s.c2l(e.y[i]):0)+(c!==0?c*s.c2l(e.y[i+1]):0);return[o.c2p(e.x[n],!0),s.c2p(s.l2c(f),!0),n,i+c]}}});var gbe=ye((gcr,pbe)=>{\"use strict\";var yG=w8(),Cbt=Eo();pbe.exports={\"[]\":dbe(\"[]\"),\"][\":dbe(\"][\"),\">\":_G(\">\"),\"<\":_G(\"<\"),\"=\":_G(\"=\")};function vbe(e,t){var r=Array.isArray(t),n;function i(a){return Cbt(a)?+a:null}return yG.COMPARISON_OPS2.indexOf(e)!==-1?n=i(r?t[0]:t):yG.INTERVAL_OPS.indexOf(e)!==-1?n=r?[i(t[0]),i(t[1])]:[i(t),i(t)]:yG.SET_OPS.indexOf(e)!==-1&&(n=r?t.map(i):[i(t)]),n}function dbe(e){return function(t){t=vbe(e,t);var r=Math.min(t[0],t[1]),n=Math.max(t[0],t[1]);return{start:r,end:n,size:n-r}}}function _G(e){return function(t){return t=vbe(e,t),{start:t,end:1/0,size:1/0}}}});var xG=ye((mcr,ybe)=>{\"use strict\";var mbe=Dr(),Lbt=gbe(),Pbt=L4();ybe.exports=function(t,r,n){for(var 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s=r.x.length,l=r.y.length,u=-1/0,c=1/0;for(i=0;i<l;i++)c=Math.min(c,n[i][0]),c=Math.min(c,n[i][s-1]),u=Math.max(u,n[i][0]),u=Math.max(u,n[i][s-1]);for(i=1;i<s-1;i++)c=Math.min(c,n[0][i]),c=Math.min(c,n[l-1][i]),u=Math.max(u,n[0][i]),u=Math.max(u,n[l-1][i]);var f=t.value,h,d;switch(t._operation){case\">\":f>u&&(r.prefixBoundary=!0);break;case\"<\":(f<c||r.starts.length&&f===c)&&(r.prefixBoundary=!0);break;case\"[]\":h=Math.min(f[0],f[1]),d=Math.max(f[0],f[1]),(d<c||h>u||r.starts.length&&d===c)&&(r.prefixBoundary=!0);break;case\"][\":h=Math.min(f[0],f[1]),d=Math.max(f[0],f[1]),h<c&&d>u&&(r.prefixBoundary=!0);break}break}}});var k8=ye(jv=>{\"use strict\";var D4=Oa(),zd=Dr(),qy=So(),Ibt=tc(),Abe=ru(),wbe=ho(),Tbe=ym(),Rbt=d8(),Sbe=gG(),Mbe=mG(),Dbt=xG(),Fbt=bG(),Ebe=wG(),R4=P4(),Dm=R4.LABELOPTIMIZER;jv.plot=function(t,r,n,i){var a=r.xaxis,o=r.yaxis;zd.makeTraceGroups(i,n,\"contour\").each(function(s){var l=D4.select(this),u=s[0],c=u.trace,f=u.x,h=u.y,d=c.contours,v=Dbt(d,r,u),_=zd.ensureSingle(l,\"g\",\"heatmapcoloring\"),b=[];d.coloring===\"heatmap\"&&(b=[s]),Rbt(t,r,b,_),Sbe(v),Mbe(v);var p=a.c2p(f[0],!0),k=a.c2p(f[f.length-1],!0),E=o.c2p(h[0],!0),S=o.c2p(h[h.length-1],!0),L=[[p,S],[k,S],[k,E],[p,E]],x=v;d.type===\"constraint\"&&(x=Fbt(v,d._operation)),zbt(l,L,d),Obt(l,x,L,d),qbt(l,v,t,u,d),Nbt(l,r,t,u,L)})};function zbt(e,t,r){var n=zd.ensureSingle(e,\"g\",\"contourbg\"),i=n.selectAll(\"path\").data(r.coloring===\"fill\"?[0]:[]);i.enter().append(\"path\"),i.exit().remove(),i.attr(\"d\",\"M\"+t.join(\"L\")+\"Z\").style(\"stroke\",\"none\")}function Obt(e,t,r,n){var i=n.coloring===\"fill\"||n.type===\"constraint\"&&n._operation!==\"=\",a=\"M\"+r.join(\"L\")+\"Z\";i&&Ebe(t,n);var o=zd.ensureSingle(e,\"g\",\"contourfill\"),s=o.selectAll(\"path\").data(i?t:[]);s.enter().append(\"path\"),s.exit().remove(),s.each(function(l){var u=(l.prefixBoundary?a:\"\")+kbe(l,r);u?D4.select(this).attr(\"d\",u).style(\"stroke\",\"none\"):D4.select(this).remove()})}function kbe(e,t){var r=\"\",n=0,i=e.edgepaths.map(function(p,k){return k}),a=!0,o,s,l,u,c,f;function h(p){return Math.abs(p[1]-t[0][1])<.01}function d(p){return Math.abs(p[1]-t[2][1])<.01}function v(p){return Math.abs(p[0]-t[0][0])<.01}function _(p){return Math.abs(p[0]-t[2][0])<.01}for(;i.length;){for(f=qy.smoothopen(e.edgepaths[n],e.smoothing),r+=a?f:f.replace(/^M/,\"L\"),i.splice(i.indexOf(n),1),o=e.edgepaths[n][e.edgepaths[n].length-1],u=-1,l=0;l<4;l++){if(!o){zd.log(\"Missing end?\",n,e);break}for(h(o)&&!_(o)?s=t[1]:v(o)?s=t[0]:d(o)?s=t[3]:_(o)&&(s=t[2]),c=0;c<e.edgepaths.length;c++){var b=e.edgepaths[c][0];Math.abs(o[0]-s[0])<.01?Math.abs(o[0]-b[0])<.01&&(b[1]-o[1])*(s[1]-b[1])>=0&&(s=b,u=c):Math.abs(o[1]-s[1])<.01?Math.abs(o[1]-b[1])<.01&&(b[0]-o[0])*(s[0]-b[0])>=0&&(s=b,u=c):zd.log(\"endpt to newendpt is not vert. or 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a};jv.createLineClip=function(e,t,r,n){var i=r._fullLayout._clips,a=t?\"clipline\"+n:null,o=i.selectAll(\"#\"+a).data(t?[0]:[]);return o.exit().remove(),o.enter().append(\"clipPath\").classed(\"contourlineclip\",!0).attr(\"id\",a),qy.setClipUrl(e,a,r),o};jv.labelFormatter=function(e,t){var r=e._fullLayout,n=t.trace,i=n.contours,a={type:\"linear\",_id:\"ycontour\",showexponent:\"all\",exponentformat:\"B\"};if(i.labelformat)a.tickformat=i.labelformat,Tbe(a,r);else{var o=Ibt.extractOpts(n);if(o&&o.colorbar&&o.colorbar._axis)a=o.colorbar._axis;else{if(i.type===\"constraint\"){var s=i.value;zd.isArrayOrTypedArray(s)?a.range=[s[0],s[s.length-1]]:a.range=[s,s]}else a.range=[i.start,i.end],a.nticks=(i.end-i.start)/i.size;a.range[0]===a.range[1]&&(a.range[1]+=a.range[0]||1),a.nticks||(a.nticks=1e3),Tbe(a,r),wbe.prepTicks(a),a._tmin=null,a._tmax=null}}return function(l){return wbe.tickText(a,l).text}};jv.calcTextOpts=function(e,t,r,n){var i=t(e);r.text(i).call(Abe.convertToTspans,n);var 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C8=Oa(),Lbe=So(),Hbt=v8(),jbt=AG();Pbe.exports=function(t){var r=C8.select(t).selectAll(\"g.contour\");r.style(\"opacity\",function(n){return n[0].trace.opacity}),r.each(function(n){var i=C8.select(this),a=n[0].trace,o=a.contours,s=a.line,l=o.size||1,u=o.start,c=o.type===\"constraint\",f=!c&&o.coloring===\"lines\",h=!c&&o.coloring===\"fill\",d=f||h?jbt(a):null;i.selectAll(\"g.contourlevel\").each(function(b){C8.select(this).selectAll(\"path\").call(Lbe.lineGroupStyle,s.width,f?d(b.level):s.color,s.dash)});var v=o.labelfont;if(i.selectAll(\"g.contourlabels text\").each(function(b){Lbe.font(C8.select(this),{weight:v.weight,style:v.style,variant:v.variant,textcase:v.textcase,lineposition:v.lineposition,shadow:v.shadow,family:v.family,size:v.size,color:v.color||(f?d(b.level):s.color)})}),c)i.selectAll(\"g.contourfill path\").style(\"fill\",a.fillcolor);else if(h){var _;i.selectAll(\"g.contourfill path\").style(\"fill\",function(b){return _===void 0&&(_=b.level),d(b.level+.5*l)}),_===void 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zbe=ye((Scr,Fbe)=>{\"use strict\";Fbe.exports={attributes:cG(),supplyDefaults:rbe(),crossTraceDefaults:_8(),calc:pG(),plot:k8().plot,layerName:\"contourlayer\",style:L8(),colorbar:P8(),hoverPoints:SG(),moduleType:\"trace\",name:\"histogram2dcontour\",basePlotModule:ph(),categories:[\"cartesian\",\"svg\",\"2dMap\",\"contour\",\"histogram\",\"showLegend\"],meta:{}}});var qbe=ye((Mcr,Obe)=>{\"use strict\";Obe.exports=zbe()});var MG=ye((Ecr,Hbe)=>{\"use strict\";var Bbe=Eo(),Kbt=fG(),Vbe=ka(),Nbe=Vbe.addOpacity,Jbt=Vbe.opacity,Gbe=w8(),Ube=Dr().isArrayOrTypedArray,$bt=Gbe.CONSTRAINT_REDUCTION,Qbt=Gbe.COMPARISON_OPS2;Hbe.exports=function(t,r,n,i,a,o){var s=r.contours,l,u,c,f=n(\"contours.operation\");if(s._operation=$bt[f],e2t(n,s),f===\"=\"?l=s.showlines=!0:(l=n(\"contours.showlines\"),c=n(\"fillcolor\",Nbe((t.line||{}).color||a,.5))),l){var h=c&&Jbt(c)?Nbe(r.fillcolor,1):a;u=n(\"line.color\",h),n(\"line.width\",2),n(\"line.dash\")}n(\"line.smoothing\"),Kbt(n,i,u,o)};function e2t(e,t){var 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n2e=ye((Icr,i2e)=>{\"use strict\";var t2e=Dr(),d2t=Sm(),BT=Ru(),v2t=$p(),p2t=R0(),r2e=tT(),g2t=D0(),m2t=Rg(),y2t=kG();i2e.exports=function(t,r,n,i){function a(h,d){return t2e.coerce(t,r,y2t,h,d)}var o=a(\"a\"),s=a(\"b\"),l=a(\"c\"),u;if(o?(u=o.length,s?(u=Math.min(u,s.length),l&&(u=Math.min(u,l.length))):l?u=Math.min(u,l.length):u=0):s&&l&&(u=Math.min(s.length,l.length)),!u){r.visible=!1;return}r._length=u,a(\"sum\"),a(\"text\"),a(\"hovertext\"),r.hoveron!==\"fills\"&&(a(\"hovertemplate\"),a(\"hovertemplatefallback\"));var c=u<d2t.PTS_LINESONLY?\"lines+markers\":\"lines\";a(\"mode\",c),BT.hasMarkers(r)&&v2t(t,r,n,i,a,{gradient:!0}),BT.hasLines(r)&&(p2t(t,r,n,i,a,{backoff:!0}),r2e(t,r,a),a(\"connectgaps\")),BT.hasText(r)&&(a(\"texttemplate\"),a(\"texttemplatefallback\"),g2t(t,r,i,a));var f=[];(BT.hasMarkers(r)||BT.hasText(r))&&(a(\"cliponaxis\"),a(\"marker.maxdisplayed\"),f.push(\"points\")),a(\"fill\"),r.fill!==\"none\"&&(m2t(t,r,n,a),BT.hasLines(r)||r2e(t,r,a)),(r.fill===\"tonext\"||r.fill===\"toself\")&&f.push(\"fills\"),a(\"hoveron\",f.join(\"+\")||\"points\"),t2e.coerceSelectionMarkerOpacity(r,a)}});var o2e=ye((Rcr,a2e)=>{\"use strict\";var CG=ho();a2e.exports=function(t,r,n){var i={},a=n[r.subplot]._subplot;return i.aLabel=CG.tickText(a.aaxis,t.a,!0).text,i.bLabel=CG.tickText(a.baxis,t.b,!0).text,i.cLabel=CG.tickText(a.caxis,t.c,!0).text,i}});var c2e=ye((Dcr,u2e)=>{\"use strict\";var LG=Eo(),_2t=F0(),x2t=km(),b2t=z0(),w2t=O0().calcMarkerSize,s2e=[\"a\",\"b\",\"c\"],l2e={a:[\"b\",\"c\"],b:[\"a\",\"c\"],c:[\"a\",\"b\"]};u2e.exports=function(t,r){var n=t._fullLayout[r.subplot],i=n.sum,a=r.sum||i,o={a:r.a,b:r.b,c:r.c},s=r.ids,l,u,c,f,h,d;for(l=0;l<s2e.length;l++)if(c=s2e[l],!o[c]){for(h=o[l2e[c][0]],d=o[l2e[c][1]],f=new 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r=this,n=e.domain,i=(n.x[0]+n.x[1])/2,a=(n.y[0]+n.y[1])/2,o=n.x[1]-n.x[0],s=n.y[1]-n.y[0],l=o*t.w,u=s*t.h,c=e.sum,f=e.aaxis.min,h=e.baxis.min,d=e.caxis.min,v,_,b,p,k,E;l>NT*u?(p=u,b=p*NT):(b=l,p=b/NT),k=o*b/l,E=s*p/u,v=t.l+t.w*i-b/2,_=t.t+t.h*(1-a)-p/2,r.x0=v,r.y0=_,r.w=b,r.h=p,r.sum=c,r.xaxis={type:\"linear\",range:[f+2*d-c,c-f-2*h],domain:[i-k/2,i+k/2],_id:\"x\"},z4(r.xaxis,r.graphDiv._fullLayout),r.xaxis.setScale(),r.xaxis.isPtWithinRange=function(V){return V.a>=r.aaxis.range[0]&&V.a<=r.aaxis.range[1]&&V.b>=r.baxis.range[1]&&V.b<=r.baxis.range[0]&&V.c>=r.caxis.range[1]&&V.c<=r.caxis.range[0]},r.yaxis={type:\"linear\",range:[f,c-h-d],domain:[a-E/2,a+E/2],_id:\"y\"},z4(r.yaxis,r.graphDiv._fullLayout),r.yaxis.setScale(),r.yaxis.isPtWithinRange=function(){return!0};var 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D2e=ye(W0=>{\"use strict\";var Q2t=E2e(),ewt=Id().getSubplotCalcData,twt=Dr().counterRegex,VT=\"ternary\";W0.name=VT;var rwt=W0.attr=\"subplot\";W0.idRoot=VT;W0.idRegex=W0.attrRegex=twt(VT);var iwt=W0.attributes={};iwt[rwt]={valType:\"subplotid\",dflt:\"ternary\",editType:\"calc\"};W0.layoutAttributes=zG();W0.supplyLayoutDefaults=R2e();W0.plot=function(t){for(var r=t._fullLayout,n=t.calcdata,i=r._subplots[VT],a=0;a<i.length;a++){var o=i[a],s=ewt(n,VT,o),l=r[o]._subplot;l||(l=new Q2t({id:o,graphDiv:t,container:r._ternarylayer.node()},r),r[o]._subplot=l),l.plot(s,r,t._promises)}};W0.clean=function(e,t,r,n){for(var i=n._subplots[VT]||[],a=0;a<i.length;a++){var o=i[a],s=n[o]._subplot;!t[o]&&s&&(s.plotContainer.remove(),s.clipDef.remove(),s.clipDefRelative.remove(),s.layers[\"a-title\"].remove(),s.layers[\"b-title\"].remove(),s.layers[\"c-title\"].remove())}};W0.updateFx=function(e){var t=e._fullLayout;t._ternarylayer.selectAll(\"g.toplevel\").style(\"cursor\",t.dragmode===\"pan\"?\"move\":\"crosshair\")}});var z2e=ye((Gcr,F2e)=>{\"use strict\";F2e.exports={attributes:kG(),supplyDefaults:n2e(),colorbar:$d(),formatLabels:o2e(),calc:c2e(),plot:h2e(),style:op().style,styleOnSelect:op().styleOnSelect,hoverPoints:v2e(),selectPoints:hT(),eventData:g2e(),moduleType:\"trace\",name:\"scatterternary\",basePlotModule:D2e(),categories:[\"ternary\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}});var q2e=ye((Hcr,O2e)=>{\"use strict\";O2e.exports=z2e()});var OG=ye((jcr,N2e)=>{\"use strict\";var Fh=x4(),GT=Ao().extendFlat,B2e=df().axisHoverFormat;N2e.exports={y:Fh.y,x:Fh.x,x0:Fh.x0,y0:Fh.y0,xhoverformat:B2e(\"x\"),yhoverformat:B2e(\"y\"),name:GT({},Fh.name,{}),orientation:GT({},Fh.orientation,{}),bandwidth:{valType:\"number\",min:0,editType:\"calc\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},scalemode:{valType:\"enumerated\",values:[\"width\",\"count\"],dflt:\"width\",editType:\"calc\"},spanmode:{valType:\"enumerated\",values:[\"soft\",\"hard\",\"manual\"],dflt:\"soft\",editType:\"calc\"},span:{valType:\"info_array\",items:[{valType:\"any\",editType:\"calc\"},{valType:\"any\",editType:\"calc\"}],editType:\"calc\"},line:{color:{valType:\"color\",editType:\"style\"},width:{valType:\"number\",min:0,dflt:2,editType:\"style\"},editType:\"plot\"},fillcolor:Fh.fillcolor,points:GT({},Fh.boxpoints,{}),jitter:GT({},Fh.jitter,{}),pointpos:GT({},Fh.pointpos,{}),width:GT({},Fh.width,{}),marker:Fh.marker,text:Fh.text,hovertext:Fh.hovertext,hovertemplate:Fh.hovertemplate,hovertemplatefallback:Fh.hovertemplatefallback,quartilemethod:Fh.quartilemethod,box:{visible:{valType:\"boolean\",dflt:!1,editType:\"plot\"},width:{valType:\"number\",min:0,max:1,dflt:.25,editType:\"plot\"},fillcolor:{valType:\"color\",editType:\"style\"},line:{color:{valType:\"color\",editType:\"style\"},width:{valType:\"number\",min:0,editType:\"style\"},editType:\"style\"},editType:\"plot\"},meanline:{visible:{valType:\"boolean\",dflt:!1,editType:\"plot\"},color:{valType:\"color\",editType:\"style\"},width:{valType:\"number\",min:0,editType:\"style\"},editType:\"plot\"},side:{valType:\"enumerated\",values:[\"both\",\"positive\",\"negative\"],dflt:\"both\",editType:\"calc\"},offsetgroup:Fh.offsetgroup,alignmentgroup:Fh.alignmentgroup,selected:Fh.selected,unselected:Fh.unselected,hoveron:{valType:\"flaglist\",flags:[\"violins\",\"points\",\"kde\"],dflt:\"violins+points+kde\",extras:[\"all\"],editType:\"style\"},zorder:Fh.zorder}});var NG=ye((Wcr,U2e)=>{\"use strict\";var qG=b4(),BG=Dr().extendFlat;U2e.exports={violinmode:BG({},qG.boxmode,{}),violingap:BG({},qG.boxgap,{}),violingroupgap:BG({},qG.boxgroupgap,{})}});var W2e=ye((Xcr,j2e)=>{\"use strict\";var V2e=Dr(),nwt=ka(),G2e=T4(),H2e=OG();j2e.exports=function(t,r,n,i){function a(L,x){return V2e.coerce(t,r,H2e,L,x)}function o(L,x){return V2e.coerce2(t,r,H2e,L,x)}if(G2e.handleSampleDefaults(t,r,a,i),r.visible!==!1){a(\"bandwidth\"),a(\"side\");var s=a(\"width\");s||(a(\"scalegroup\",r.name),a(\"scalemode\"));var l=a(\"span\"),u;Array.isArray(l)&&(u=\"manual\"),a(\"spanmode\",u);var c=a(\"line.color\",(t.marker||{}).color||n),f=a(\"line.width\"),h=a(\"fillcolor\",nwt.addOpacity(r.line.color,.5));G2e.handlePointsDefaults(t,r,a,{prefix:\"\"});var d=o(\"box.width\"),v=o(\"box.fillcolor\",h),_=o(\"box.line.color\",c),b=o(\"box.line.width\",f),p=a(\"box.visible\",!!(d||v||_||b));p||(r.box={visible:!1});var k=o(\"meanline.color\",c),E=o(\"meanline.width\",f),S=a(\"meanline.visible\",!!(k||E));S||(r.meanline={visible:!1}),a(\"quartilemethod\"),a(\"zorder\")}}});var Z2e=ye((Zcr,X2e)=>{\"use strict\";var awt=Dr(),owt=NG(),swt=ZI();X2e.exports=function(t,r,n){function i(a,o){return awt.coerce(t,r,owt,a,o)}swt._supply(t,r,n,i,\"violin\")}});var O8=ye(s2=>{\"use strict\";var lwt=Dr(),uwt={gaussian:function(e){return 1/Math.sqrt(2*Math.PI)*Math.exp(-.5*e*e)}};s2.makeKDE=function(e,t,r){var n=r.length,i=uwt.gaussian,a=e.bandwidth,o=1/(n*a);return function(s){for(var l=0,u=0;u<n;u++)l+=i((s-r[u])/a);return o*l}};s2.getPositionOnKdePath=function(e,t,r){var n,i;t.orientation===\"h\"?(n=\"y\",i=\"x\"):(n=\"x\",i=\"y\");var a=lwt.findPointOnPath(e.path,r,i,{pathLength:e.pathLength}),o=e.posCenterPx,s=a[n],l=t.side===\"both\"?2*o-s:o;return[s,l]};s2.getKdeValue=function(e,t,r){var n=e.pts.map(s2.extractVal),i=s2.makeKDE(e,t,n);return i(r)/e.posDensityScale};s2.extractVal=function(e){return e.v}});var J2e=ye((Kcr,K2e)=>{\"use strict\";var UG=Dr(),VG=ho(),cwt=RV(),Y2e=O8(),fwt=fs().BADNUM;K2e.exports=function(t,r){var n=cwt(t,r);if(n[0].t.empty)return n;for(var i=t._fullLayout,a=VG.getFromId(t,r[r.orientation===\"h\"?\"xaxis\":\"yaxis\"]),o=1/0,s=-1/0,l=0,u=0,c=0;c<n.length;c++){var f=n[c],h=f.pts.map(Y2e.extractVal),d=f.bandwidth=dwt(r,f,h),v=f.span=vwt(r,f,a,d);if(f.min===f.max&&d===0)v=f.span=[f.min,f.max],f.density=[{v:1,t:v[0]}],f.bandwidth=d,l=Math.max(l,1);else{var _=v[1]-v[0],b=Math.ceil(_/(d/3)),p=_/b;if(!isFinite(p)||!isFinite(b))return UG.error(\"Something went wrong with computing the violin span\"),n[0].t.empty=!0,n;var k=Y2e.makeKDE(f,r,h);f.density=new Array(b+1);for(var E=0;E<f.density.length;E++){var S=v[0]+E*p,L=k(S);f.density[E]={v:L,t:S},l=Math.max(l,L)}}u=Math.max(u,h.length),o=Math.min(o,v[0]),s=Math.max(s,v[1])}var x=VG.findExtremes(a,[o,s],{padded:!0});if(r._extremes[a._id]=x,r.width)n[0].t.maxKDE=l;else{var 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Ae=[H,p.c2p(Z[0].t)],Fe=[H,p.c2p(Z[j-1].t)];v.orientation===\"h\"&&(Ae.reverse(),Fe.reverse()),S?Ce=\"M\"+Ae+\"L\"+_e.slice(1)+\"L\"+Fe:Ce=\"M\"+Fe+\"L\"+Ee.slice(1)+\"L\"+Ae}G.attr(\"d\",Ce),V.posCenterPx=H,V.posDensityScale=te*b,V.path=G.node(),V.pathLength=V.path.getTotalLength()/(E?2:1)});var C=v.box,M=C.width,g=(C.line||{}).width,P,T;E?(P=b*M,T=0):S?(P=[0,b*M/2],T=g*{x:1,y:-1}[d.posLetter]):(P=[b*M/2,0],T=g*{x:-1,y:1}[d.posLetter]),jG.plotBoxAndWhiskers(f,{pos:k,val:p},v,{bPos:_,bdPos:P,bPosPxOffset:T}),jG.plotBoxMean(f,{pos:k,val:p},v,{bPos:_,bdPos:P,bPosPxOffset:T});var z;!v.box.visible&&v.meanline.visible&&(z=HG.identity);var O=f.selectAll(\"path.meanline\").data(z||[]);O.enter().append(\"path\").attr(\"class\",\"meanline\").style(\"fill\",\"none\").style(\"vector-effect\",a?\"none\":\"non-scaling-stroke\"),O.exit().remove(),O.each(function(V){var G=p.c2p(V.mean,!0),Z=ywt.getPositionOnKdePath(V,v,G);GG.select(this).attr(\"d\",v.orientation===\"h\"?\"M\"+G+\",\"+Z[0]+\"V\"+Z[1]:\"M\"+Z[0]+\",\"+G+\"H\"+Z[1])}),jG.plotPoints(f,{x:s,y:l},v,d)})}});var awe=ye((Qcr,nwe)=>{\"use strict\";var iwe=Oa(),HT=ka(),_wt=op().stylePoints;nwe.exports=function(t){var r=iwe.select(t).selectAll(\"g.trace.violins\");r.style(\"opacity\",function(n){return n[0].trace.opacity}),r.each(function(n){var i=n[0].trace,a=iwe.select(this),o=i.box||{},s=o.line||{},l=i.meanline||{},u=l.width;a.selectAll(\"path.violin\").style(\"stroke-width\",i.line.width+\"px\").call(HT.stroke,i.line.color).call(HT.fill,i.fillcolor),a.selectAll(\"path.box\").style(\"stroke-width\",s.width+\"px\").call(HT.stroke,s.color).call(HT.fill,o.fillcolor);var c={\"stroke-width\":u+\"px\",\"stroke-dasharray\":2*u+\"px,\"+u+\"px\"};a.selectAll(\"path.mean\").style(c).call(HT.stroke,l.color),a.selectAll(\"path.meanline\").style(c).call(HT.stroke,l.color),_wt(a,i,t)})}});var uwe=ye((efr,lwe)=>{\"use strict\";var xwt=ka(),WG=Dr(),bwt=ho(),owe=qV(),swe=O8();lwe.exports=function(t,r,n,i,a){a||(a={});var o=a.hoverLayer,s=t.cd,l=s[0].trace,u=l.hoveron,c=u.indexOf(\"violins\")!==-1,f=u.indexOf(\"kde\")!==-1,h=[],d,v;if(c||f){var _=owe.hoverOnBoxes(t,r,n,i);if(f&&_.length>0){var b=t.xa,p=t.ya,k,E,S,L,x;l.orientation===\"h\"?(x=r,k=\"y\",S=p,E=\"x\",L=b):(x=n,k=\"x\",S=b,E=\"y\",L=p);var C=s[t.index];if(x>=C.span[0]&&x<=C.span[1]){var M=WG.extendFlat({},t),g=L.c2p(x,!0),P=swe.getKdeValue(C,l,x),T=swe.getPositionOnKdePath(C,l,g),z=S._offset,O=S._length;M[k+\"0\"]=T[0],M[k+\"1\"]=T[1],M[E+\"0\"]=M[E+\"1\"]=g,M[E+\"Label\"]=E+\": \"+bwt.hoverLabelText(L,x,l[E+\"hoverformat\"])+\", \"+s[0].t.labels.kde+\" \"+P.toFixed(3);for(var V=0,G=0;G<_.length;G++)if(_[G].attr===\"med\"){V=G;break}M.spikeDistance=_[V].spikeDistance;var Z=k+\"Spike\";M[Z]=_[V][Z],_[V].spikeDistance=void 0,_[V][Z]=void 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s=i(\"textposition\");kwt(e,t,n,i,s,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!0,moduleHasCliponaxis:!0,moduleHasTextangle:!0,moduleHasInsideanchor:!0}),t.textposition!==\"none\"&&!t.texttemplate&&i(\"textinfo\",q8.isArrayOrTypedArray(o)?\"text+value\":\"value\");var l=i(\"marker.color\",r);i(\"marker.line.color\",KG.defaultLine),i(\"marker.line.width\");var u=i(\"connector.visible\");if(u){i(\"connector.fillcolor\",Iwt(l));var c=i(\"connector.line.width\");c&&(i(\"connector.line.color\"),i(\"connector.line.dash\"))}i(\"zorder\")}function Iwt(e){var t=q8.isArrayOrTypedArray(e)?\"#000\":e;return KG.addOpacity(t,.5*KG.opacity(t))}function Rwt(e,t){var r,n;function i(o){return q8.coerce(n._input,n,bwe,o)}for(var a=0;a<e.length;a++)n=e[a],n.type===\"funnel\"&&(r=n._input,Ewt(r,n,t,i,t.funnelmode))}wwe.exports={supplyDefaults:Pwt,crossTraceDefaults:Rwt}});var Awe=ye((sfr,Twe)=>{\"use strict\";var Dwt=Dr(),Fwt=YG();Twe.exports=function(e,t,r){var n=!1;function 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n=Ewe.getFromId(t,r.xaxis||\"x\"),i=Ewe.getFromId(t,r.yaxis||\"y\"),a,o,s,l,u,c,f,h;r.orientation===\"h\"?(a=n.makeCalcdata(r,\"x\"),s=i.makeCalcdata(r,\"y\"),l=kwe(r,i,\"y\",s),u=!!r.yperiodalignment,c=\"y\"):(a=i.makeCalcdata(r,\"y\"),s=n.makeCalcdata(r,\"x\"),l=kwe(r,n,\"x\",s),u=!!r.xperiodalignment,c=\"x\"),o=l.vals;var d=Math.min(o.length,a.length),v=new Array(d);for(r._base=[],f=0;f<d;f++){a[f]<0&&(a[f]=O4);var _=!1;a[f]!==O4&&f+1<d&&a[f+1]!==O4&&(_=!0),h=v[f]={p:o[f],s:a[f],cNext:_},r._base[f]=-.5*h.s,u&&(v[f].orig_p=s[f],v[f][c+\"End\"]=l.ends[f],v[f][c+\"Start\"]=l.starts[f]),r.ids&&(h.id=String(r.ids[f])),f===0&&(v[0].vTotal=0),v[0].vTotal+=$G(h.s),h.begR=$G(h.s)/$G(v[0].s)}var b;for(f=0;f<d;f++)h=v[f],h.s!==O4&&(h.sumR=h.s/v[0].vTotal,h.difR=b!==void 0?h.s/b:1,b=h.s);return zwt(v,r),Owt(v,r),v};function $G(e){return e===O4?0:e}});var Rwe=ye((cfr,Iwe)=>{\"use strict\";var Pwe=jb().setGroupPositions;Iwe.exports=function(t,r){var n=t._fullLayout,i=t._fullData,a=t.calcdata,o=r.xaxis,s=r.yaxis,l=[],u=[],c=[],f,h;for(h=0;h<i.length;h++){var d=i[h],v=d.orientation===\"h\";d.visible===!0&&d.xaxis===o._id&&d.yaxis===s._id&&d.type===\"funnel\"&&(f=a[h],v?c.push(f):u.push(f),l.push(f))}var _={mode:n.funnelmode,norm:n.funnelnorm,gap:n.funnelgap,groupgap:n.funnelgroupgap};for(Pwe(t,o,s,u,_),Pwe(t,s,o,c,_),h=0;h<l.length;h++){f=l[h];for(var b=0;b<f.length;b++)b+1<f.length&&(f[b].nextP0=f[b+1].p0,f[b].nextS0=f[b+1].s0,f[b].nextP1=f[b+1].p1,f[b].nextS1=f[b+1].s1)}}});var Owe=ye((ffr,zwe)=>{\"use strict\";var B8=Oa(),L_=Dr(),Dwe=So(),C_=fs().BADNUM,qwt=n2(),Bwt=bv().clearMinTextSize;zwe.exports=function(t,r,n,i){var a=t._fullLayout;Bwt(\"funnel\",a),Nwt(t,r,n,i),Uwt(t,r,n,i),qwt.plot(t,r,n,i,{mode:a.funnelmode,norm:a.funnelmode,gap:a.funnelgap,groupgap:a.funnelgroupgap})};function Nwt(e,t,r,n){var i=t.xaxis,a=t.yaxis;L_.makeTraceGroups(n,r,\"trace bars\").each(function(o){var 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s=B8.select(this),l=o[0].trace,u=L_.ensureSingle(s,\"g\",\"lines\");if(!l.connector||!l.connector.visible||!l.connector.line.width){u.remove();return}var c=l.orientation===\"h\",f=u.selectAll(\"g.line\").data(L_.identity);f.enter().append(\"g\").classed(\"line\",!0),f.exit().remove();var h=f.size();f.each(function(d,v){if(!(v!==h-1&&!d.cNext)){var _=Fwe(d,i,a,c),b=_[0],p=_[1],k=\"\";b[3]!==void 0&&p[3]!==void 0&&(c?(k+=\"M\"+b[0]+\",\"+p[1]+\"L\"+b[2]+\",\"+p[2],k+=\"M\"+b[1]+\",\"+p[1]+\"L\"+b[3]+\",\"+p[2]):(k+=\"M\"+b[1]+\",\"+p[1]+\"L\"+b[2]+\",\"+p[3],k+=\"M\"+b[1]+\",\"+p[0]+\"L\"+b[2]+\",\"+p[2])),k===\"\"&&(k=\"M0,0Z\"),L_.ensureSingle(B8.select(this),\"path\").attr(\"d\",k).call(Dwe.setClipUrl,t.layerClipId,e)}})})}function Fwe(e,t,r,n){var i=[],a=[],o=n?t:r,s=n?r:t;return i[0]=o.c2p(e.s0,!0),a[0]=s.c2p(e.p0,!0),i[1]=o.c2p(e.s1,!0),a[1]=s.c2p(e.p1,!0),i[2]=o.c2p(e.nextS0,!0),a[2]=s.c2p(e.nextP0,!0),i[3]=o.c2p(e.nextS1,!0),a[3]=s.c2p(e.nextP1,!0),n?[i,a]:[a,i]}});var Nwe=ye((hfr,Bwe)=>{\"use strict\";var q4=Oa(),qwe=So(),QG=ka(),Vwt=N1().DESELECTDIM,Gwt=N0(),Hwt=bv().resizeText,jwt=Gwt.styleTextPoints;function Wwt(e,t,r){var n=r||q4.select(e).selectAll('g[class^=\"funnellayer\"]').selectAll(\"g.trace\");Hwt(e,n,\"funnel\"),n.style(\"opacity\",function(i){return i[0].trace.opacity}),n.each(function(i){var a=q4.select(this),o=i[0].trace;a.selectAll(\".point > path\").each(function(s){if(!s.isBlank){var l=o.marker;q4.select(this).call(QG.fill,s.mc||l.color).call(QG.stroke,s.mlc||l.line.color).call(qwe.dashLine,l.line.dash,s.mlw||l.line.width).style(\"opacity\",o.selectedpoints&&!s.selected?Vwt:1)}}),jwt(a,o,e),a.selectAll(\".regions\").each(function(){q4.select(this).selectAll(\"path\").style(\"stroke-width\",0).call(QG.fill,o.connector.fillcolor)}),a.selectAll(\".lines\").each(function(){var s=o.connector.line;qwe.lineGroupStyle(q4.select(this).selectAll(\"path\"),s.width,s.color,s.dash)})})}Bwe.exports={style:Wwt}});var Gwe=ye((dfr,Vwe)=>{\"use 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_c=Lm(),tH=pf().line,Ywt=Gl(),$we=df().axisHoverFormat,{hovertemplateAttrs:Kwt,texttemplateAttrs:Jwt,templatefallbackAttrs:Qwe}=Ll(),e3e=Jwe(),WT=Ao().extendFlat,$wt=ka();function rH(e){return{marker:{color:WT({},_c.marker.color,{arrayOk:!1,editType:\"style\"}),line:{color:WT({},_c.marker.line.color,{arrayOk:!1,editType:\"style\"}),width:WT({},_c.marker.line.width,{arrayOk:!1,editType:\"style\"}),editType:\"style\"},editType:\"style\"},editType:\"style\"}}t3e.exports={measure:{valType:\"data_array\",dflt:[],editType:\"calc\"},base:{valType:\"number\",dflt:null,arrayOk:!1,editType:\"calc\"},x:_c.x,x0:_c.x0,dx:_c.dx,y:_c.y,y0:_c.y0,dy:_c.dy,xperiod:_c.xperiod,yperiod:_c.yperiod,xperiod0:_c.xperiod0,yperiod0:_c.yperiod0,xperiodalignment:_c.xperiodalignment,yperiodalignment:_c.yperiodalignment,xhoverformat:$we(\"x\"),yhoverformat:$we(\"y\"),hovertext:_c.hovertext,hovertemplate:Kwt({},{keys:e3e.eventDataKeys}),hovertemplatefallback:Qwe(),hoverinfo:WT({},Ywt.hoverinfo,{flags:[\"name\",\"x\",\"y\",\"text\",\"initial\",\"delta\",\"final\"]}),textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"initial\",\"delta\",\"final\"],extras:[\"none\"],editType:\"plot\",arrayOk:!1},texttemplate:Jwt({editType:\"plot\"},{keys:e3e.eventDataKeys.concat([\"label\"])}),texttemplatefallback:Qwe({editType:\"plot\"}),text:_c.text,textposition:_c.textposition,insidetextanchor:_c.insidetextanchor,textangle:_c.textangle,textfont:_c.textfont,insidetextfont:_c.insidetextfont,outsidetextfont:_c.outsidetextfont,constraintext:_c.constraintext,cliponaxis:_c.cliponaxis,orientation:_c.orientation,offset:_c.offset,width:_c.width,increasing:rH(\"increasing\"),decreasing:rH(\"decreasing\"),totals:rH(\"intermediate 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n3e=Dr(),Qwt=Hb(),e3t=r0().handleText,t3t=eT(),r3t=Ig(),a3e=iH(),i3t=ka(),o3e=XT(),n3t=o3e.INCREASING.COLOR,a3t=o3e.DECREASING.COLOR,o3t=\"#4499FF\";function aH(e,t,r){e(t+\".marker.color\",r),e(t+\".marker.line.color\",i3t.defaultLine),e(t+\".marker.line.width\")}function s3t(e,t,r,n){function i(u,c){return n3e.coerce(e,t,a3e,u,c)}var a=t3t(e,t,n,i);if(!a){t.visible=!1;return}r3t(e,t,n,i),i(\"xhoverformat\"),i(\"yhoverformat\"),i(\"measure\"),i(\"orientation\",t.x&&!t.y?\"h\":\"v\"),i(\"base\"),i(\"offset\"),i(\"width\"),i(\"text\"),i(\"hovertext\"),i(\"hovertemplate\"),i(\"hovertemplatefallback\");var o=i(\"textposition\");e3t(e,t,n,i,o,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!0,moduleHasCliponaxis:!0,moduleHasTextangle:!0,moduleHasInsideanchor:!0}),t.textposition!==\"none\"&&(i(\"texttemplate\"),i(\"texttemplatefallback\"),t.texttemplate||i(\"textinfo\")),aH(i,\"increasing\",n3t),aH(i,\"decreasing\",a3t),aH(i,\"totals\",o3t);var s=i(\"connector.visible\");if(s){i(\"connector.mode\");var l=i(\"connector.line.width\");l&&(i(\"connector.line.color\"),i(\"connector.line.dash\"))}i(\"zorder\")}function l3t(e,t){var r,n;function i(o){return n3e.coerce(n._input,n,a3e,o)}if(t.waterfallmode===\"group\")for(var a=0;a<e.length;a++)n=e[a],r=n._input,Qwt(r,n,t,i,t.waterfallmode)}s3e.exports={supplyDefaults:s3t,crossTraceDefaults:l3t}});var u3e=ye((wfr,l3e)=>{\"use strict\";var u3t=Dr(),c3t=nH();l3e.exports=function(e,t,r){var n=!1;function i(s,l){return u3t.coerce(e,t,c3t,s,l)}for(var a=0;a<r.length;a++){var o=r[a];if(o.visible&&o.type===\"waterfall\"){n=!0;break}}n&&(i(\"waterfallmode\"),i(\"waterfallgap\",.2),i(\"waterfallgroupgap\"))}});var p3e=ye((Tfr,v3e)=>{\"use strict\";var c3e=ho(),f3e=Dg(),h3e=Dr().mergeArray,f3t=z0(),d3e=fs().BADNUM;function sH(e){return e===\"a\"||e===\"absolute\"}function lH(e){return e===\"t\"||e===\"total\"}v3e.exports=function(t,r){var n=c3e.getFromId(t,r.xaxis||\"x\"),i=c3e.getFromId(t,r.yaxis||\"y\"),a,o,s,l,u,c;r.orientation===\"h\"?(a=n.makeCalcdata(r,\"x\"),s=i.makeCalcdata(r,\"y\"),l=f3e(r,i,\"y\",s),u=!!r.yperiodalignment,c=\"y\"):(a=i.makeCalcdata(r,\"y\"),s=n.makeCalcdata(r,\"x\"),l=f3e(r,n,\"x\",s),u=!!r.xperiodalignment,c=\"x\"),o=l.vals;for(var f=Math.min(o.length,a.length),h=new Array(f),d=0,v,_=!1,b=0;b<f;b++){var p=a[b]||0,k=!1;(a[b]!==d3e||lH(r.measure[b])||sH(r.measure[b]))&&b+1<f&&(a[b+1]!==d3e||lH(r.measure[b+1])||sH(r.measure[b+1]))&&(k=!0);var E=h[b]={i:b,p:o[b],s:p,rawS:p,cNext:k};sH(r.measure[b])?(d=E.s,E.isSum=!0,E.dir=\"totals\",E.s=d):lH(r.measure[b])?(E.isSum=!0,E.dir=\"totals\",E.s=d):(E.isSum=!1,E.dir=E.rawS<0?\"decreasing\":\"increasing\",v=E.s,E.s=d+v,d+=v),E.dir===\"totals\"&&(_=!0),u&&(h[b].orig_p=s[b],h[b][c+\"End\"]=l.ends[b],h[b][c+\"Start\"]=l.starts[b]),r.ids&&(E.id=String(r.ids[b])),E.v=(r.base||0)+d}return h.length&&(h[0].hasTotals=_),h3e(r.text,h,\"tx\"),h3e(r.hovertext,h,\"htx\"),f3t(h,r),h}});var y3e=ye((Afr,m3e)=>{\"use strict\";var g3e=jb().setGroupPositions;m3e.exports=function(t,r){var n=t._fullLayout,i=t._fullData,a=t.calcdata,o=r.xaxis,s=r.yaxis,l=[],u=[],c=[],f,h;for(h=0;h<i.length;h++){var d=i[h];d.visible===!0&&d.xaxis===o._id&&d.yaxis===s._id&&d.type===\"waterfall\"&&(f=a[h],d.orientation===\"h\"?c.push(f):u.push(f),l.push(f))}var v={mode:n.waterfallmode,norm:n.waterfallnorm,gap:n.waterfallgap,groupgap:n.waterfallgroupgap};for(g3e(t,o,s,u,v),g3e(t,s,o,c,v),h=0;h<l.length;h++){f=l[h];for(var _=0;_<f.length;_++){var b=f[_];b.isSum===!1&&(b.s0+=_===0?0:f[_-1].s),_+1<f.length&&(f[_].nextP0=f[_+1].p0,f[_].nextS0=f[_+1].s0)}}}});var b3e=ye((Sfr,x3e)=>{\"use strict\";var _3e=Oa(),N8=Dr(),h3t=So(),ZT=fs().BADNUM,d3t=n2(),v3t=bv().clearMinTextSize;x3e.exports=function(t,r,n,i){var 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t=e._readableState;nu(\"emitReadable_\",t.destroyed,t.length,t.ended),!t.destroyed&&(t.length||t.ended)&&(e.emit(\"readable\"),t.emittedReadable=!1),t.needReadable=!t.flowing&&!t.ended&&t.length<=t.highWaterMark,Cj(e)}function Ej(e,t){t.readingMore||(t.readingMore=!0,process.nextTick(mMt,e,t))}function mMt(e,t){for(;!t.reading&&!t.ended&&(t.length<t.highWaterMark||t.flowing&&t.length===0);){var r=t.length;if(nu(\"maybeReadMore read 0\"),e.read(0),r===t.length)break}t.readingMore=!1}Bu.prototype._read=function(e){rE(this,new fMt(\"_read()\"))};Bu.prototype.pipe=function(e,t){var r=this,n=this._readableState;switch(n.pipesCount){case 0:n.pipes=e;break;case 1:n.pipes=[n.pipes,e];break;default:n.pipes.push(e);break}n.pipesCount+=1,nu(\"pipe count=%d opts=%j\",n.pipesCount,t);var i=(!t||t.end!==!1)&&e!==process.stdout&&e!==process.stderr,a=i?s:_;n.endEmitted?process.nextTick(a):r.once(\"end\",a),e.on(\"unpipe\",o);function 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L4e=ye((Lc,C4e)=>{Lc=C4e.exports=nW.debug=nW.default=nW;Lc.coerce=HEt;Lc.disable=VEt;Lc.enable=UEt;Lc.enabled=GEt;Lc.humanize=k4e();Lc.names=[];Lc.skips=[];Lc.formatters={};var iW;function NEt(e){var t=0,r;for(r in e)t=(t<<5)-t+e.charCodeAt(r),t|=0;return Lc.colors[Math.abs(t)%Lc.colors.length]}function nW(e){function t(){if(t.enabled){var r=t,n=+new Date,i=n-(iW||n);r.diff=i,r.prev=iW,r.curr=n,iW=n;for(var a=new Array(arguments.length),o=0;o<a.length;o++)a[o]=arguments[o];a[0]=Lc.coerce(a[0]),typeof a[0]!=\"string\"&&a.unshift(\"%O\");var s=0;a[0]=a[0].replace(/%([a-zA-Z%])/g,function(u,c){if(u===\"%%\")return u;s++;var f=Lc.formatters[c];if(typeof f==\"function\"){var h=a[s];u=f.call(r,h),a.splice(s,1),s--}return u}),Lc.formatArgs.call(r,a);var l=t.log||Lc.log||console.log.bind(console);l.apply(r,a)}}return t.namespace=e,t.enabled=Lc.enabled(e),t.useColors=Lc.useColors(),t.color=NEt(e),typeof Lc.init==\"function\"&&Lc.init(t),t}function 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console==\"object\"&&console.log&&Function.prototype.apply.call(console.log,console,arguments)}function ZEt(e){try{e==null?lp.storage.removeItem(\"debug\"):lp.storage.debug=e}catch(t){}}function P4e(){var e;try{e=lp.storage.debug}catch(t){}return!e&&typeof process!=\"undefined\"&&\"env\"in process&&(e=process.env.DEBUG),e}lp.enable(P4e());function YEt(){try{return window.localStorage}catch(e){}}});var U4e=ye((_dr,N4e)=>{var xA=lE(),V_=R4e()(\"stream-parser\");N4e.exports=JEt;var F4e=-1,aD=0,KEt=1,z4e=2;function JEt(e){var t=e&&typeof e._transform==\"function\",r=e&&typeof e._write==\"function\";if(!t&&!r)throw new Error(\"must pass a Writable or Transform stream in\");V_(\"extending Parser into stream\"),e._bytes=$Et,e._skipBytes=QEt,t&&(e._passthrough=ekt),t?e._transform=rkt:e._write=tkt}function SE(e){V_(\"initializing parser stream\"),e._parserBytesLeft=0,e._parserBuffers=[],e._parserBuffered=0,e._parserState=F4e,e._parserCallback=null,typeof 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t==\"function\"&&(r=t),q4e(this,e,null,r)}function rkt(e,t,r){this._parserInit||SE(this),V_(\"transform(%o bytes)\",e.length),typeof t!=\"function\"&&(t=this._parserOutput),q4e(this,e,t,r)}function O4e(e,t,r,n){return e._parserBytesLeft<=0?n(new Error(\"got data but not currently parsing anything\")):t.length<=e._parserBytesLeft?function(){return D4e(e,t,r,n)}:function(){var i=t.slice(0,e._parserBytesLeft);return D4e(e,i,r,function(a){if(a)return n(a);if(t.length>i.length)return function(){return O4e(e,t.slice(i.length),r,n)}})}}function D4e(e,t,r,n){if(e._parserBytesLeft-=t.length,V_(\"%o bytes left for stream piece\",e._parserBytesLeft),e._parserState===aD?(e._parserBuffers.push(t),e._parserBuffered+=t.length):e._parserState===z4e&&r(t),e._parserBytesLeft===0){var i=e._parserCallback;if(i&&e._parserState===aD&&e._parserBuffers.length>1&&(t=Buffer.concat(e._parserBuffers,e._parserBuffered)),e._parserState!==aD&&(t=null),e._parserCallback=null,e._parserBuffered=0,e._parserState=F4e,e._parserBuffers.splice(0),i){var a=[];t&&a.push(t),r&&a.push(r);var o=i.length>a.length;o&&a.push(B4e(n));var s=i.apply(e,a);if(!o||n===s)return n}}else return n}var q4e=B4e(O4e);function B4e(e){return function(){for(var t=e.apply(this,arguments);typeof t==\"function\";)t=t();return t}}});var rc=ye(Hy=>{\"use strict\";var V4e=DSe().Transform,ikt=U4e();function ME(){V4e.call(this,{readableObjectMode:!0})}ME.prototype=Object.create(V4e.prototype);ME.prototype.constructor=ME;ikt(ME.prototype);Hy.ParserStream=ME;Hy.sliceEq=function(e,t,r){for(var n=t,i=0;i<r.length;)if(e[n++]!==r[i++])return!1;return!0};Hy.str2arr=function(e,t){var r=[],n=0;if(t&&t===\"hex\")for(;n<e.length;)r.push(parseInt(e.slice(n,n+2),16)),n+=2;else for(;n<e.length;n++)r.push(e.charCodeAt(n)&255);return r};Hy.readUInt16LE=function(e,t){return e[t]|e[t+1]<<8};Hy.readUInt16BE=function(e,t){return e[t+1]|e[t]<<8};Hy.readUInt32LE=function(e,t){return e[t]|e[t+1]<<8|e[t+2]<<16|e[t+3]*16777216};Hy.readUInt32BE=function(e,t){return e[t+3]|e[t+2]<<8|e[t+1]<<16|e[t]*16777216};function oD(e,t,r){Error.call(this),Error.captureStackTrace?Error.captureStackTrace(this,this.constructor):this.stack=new Error().stack||\"\",this.name=this.constructor.name,this.message=e,t&&(this.code=t),r&&(this.statusCode=r)}oD.prototype=Object.create(Error.prototype);oD.prototype.constructor=oD;Hy.ProbeError=oD});var G4e=ye((bdr,sD)=>{\"use strict\";var bA=rc().readUInt16BE,oW=rc().readUInt32BE;function EE(e,t){if(e.length<4+t)return null;var r=oW(e,t);return e.length<r+t||r<8?null:{boxtype:String.fromCharCode.apply(null,e.slice(t+4,t+8)),data:e.slice(t+8,t+r),end:t+r}}sD.exports.unbox=EE;function nkt(e,t){for(var r=0;;){var n=EE(e,r);if(!n)break;switch(n.boxtype){case\"ispe\":t.sizes.push({width:oW(n.data,4),height:oW(n.data,8)});break;case\"irot\":t.transforms.push({type:\"irot\",value:n.data[0]&3});break;case\"imir\":t.transforms.push({type:\"imir\",value:n.data[0]&1});break}r=n.end}}function aW(e,t,r){for(var n=0,i=0;i<r;i++)n=n*256+(e[t+i]||0);return n}function akt(e,t){for(var r=e[4]>>4&15,n=e[4]&15,i=e[5]>>4&15,a=bA(e,6),o=8,s=0;s<a;s++){var l=bA(e,o);o+=2;var u=bA(e,o);o+=2;var c=aW(e,o,i);o+=i;var f=bA(e,o);if(o+=2,u===0&&f===1){var h=aW(e,o,r),d=aW(e,o+r,n);t.item_loc[l]={length:d,offset:h+c}}o+=f*(r+n)}}function okt(e,t){for(var r=bA(e,4),n=6,i=0;i<r;i++){var a=EE(e,n);if(!a)break;if(a.boxtype===\"infe\"){for(var o=bA(a.data,4),s=\"\",l=8;l<a.data.length&&a.data[l];l++)s+=String.fromCharCode(a.data[l]);t.item_inf[s]=o}n=a.end}}function skt(e,t){for(var r=0;;){var n=EE(e,r);if(!n)break;n.boxtype===\"ipco\"&&nkt(n.data,t),r=n.end}}function lkt(e,t){for(var r=4;;){var n=EE(e,r);if(!n)break;n.boxtype===\"iprp\"&&skt(n.data,t),n.boxtype===\"iloc\"&&akt(n.data,t),n.boxtype===\"iinf\"&&okt(n.data,t),r=n.end}}function ukt(e){var t=e.reduce(function(i,a){return i.width>a.width||i.width===a.width&&i.height>a.height?i:a}),r=e.reduce(function(i,a){return i.height>a.height||i.height===a.height&&i.width>a.width?i:a}),n;return t.width>r.height||t.width===r.height&&t.height>r.width?n=t:n=r,n}sD.exports.readSizeFromMeta=function(e){var t={sizes:[],transforms:[],item_inf:{},item_loc:{}};if(lkt(e,t),!!t.sizes.length){var r=ukt(t.sizes),n=1;t.transforms.forEach(function(a){var o={1:6,2:5,3:8,4:7,5:4,6:3,7:2,8:1},s={1:4,2:3,3:2,4:1,5:6,6:5,7:8,8:7};if(a.type===\"imir\"&&(a.value===0?n=s[n]:(n=s[n],n=o[n],n=o[n])),a.type===\"irot\")for(var l=0;l<a.value;l++)n=o[n]});var i=null;return t.item_inf.Exif&&(i=t.item_loc[t.item_inf.Exif]),{width:r.width,height:r.height,orientation:t.transforms.length?n:null,variants:t.sizes,exif_location:i}}};sD.exports.getMimeType=function(e){var t=String.fromCharCode.apply(null,e.slice(0,4)),r={};r[t]=!0;for(var n=8;n<e.length;n+=4)r[String.fromCharCode.apply(null,e.slice(n,n+4))]=!0;if(!(!r.mif1&&!r.msf1&&!r.miaf))return t===\"avif\"||t===\"avis\"||t===\"avio\"?{type:\"avif\",mime:\"image/avif\"}:t===\"heic\"||t===\"heix\"?{type:\"heic\",mime:\"image/heic\"}:t===\"hevc\"||t===\"hevx\"?{type:\"heic\",mime:\"image/heic-sequence\"}:r.avif||r.avis?{type:\"avif\",mime:\"image/avif\"}:r.heic||r.heix||r.hevc||r.hevx||r.heis?r.msf1?{type:\"heif\",mime:\"image/heif-sequence\"}:{type:\"heif\",mime:\"image/heif\"}:{type:\"avif\",mime:\"image/avif\"}}});var uD=ye((wdr,sW)=>{\"use strict\";function lD(e,t){var r=new Error(e);return r.code=t,r}function ckt(e){try{return decodeURIComponent(escape(e))}catch(t){return e}}function jy(e,t,r){this.input=e.subarray(t,r),this.start=t;var n=String.fromCharCode.apply(null,this.input.subarray(0,4));if(n!==\"II*\\0\"&&n!==\"MM\\0*\")throw lD(\"invalid TIFF signature\",\"EBADDATA\");this.big_endian=n[0]===\"M\"}jy.prototype.each=function(e){this.aborted=!1;var t=this.read_uint32(4);for(this.ifds_to_read=[{id:0,offset:t}];this.ifds_to_read.length>0&&!this.aborted;){var r=this.ifds_to_read.shift();r.offset&&this.scan_ifd(r.id,r.offset,e)}};jy.prototype.read_uint16=function(e){var t=this.input;if(e+2>t.length)throw lD(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?t[e]*256+t[e+1]:t[e]+t[e+1]*256};jy.prototype.read_uint32=function(e){var t=this.input;if(e+4>t.length)throw lD(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?t[e]*16777216+t[e+1]*65536+t[e+2]*256+t[e+3]:t[e]+t[e+1]*256+t[e+2]*65536+t[e+3]*16777216};jy.prototype.is_subifd_link=function(e,t){return e===0&&t===34665||e===0&&t===34853||e===34665&&t===40965};jy.prototype.exif_format_length=function(e){switch(e){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}};jy.prototype.exif_format_read=function(e,t){var r;switch(e){case 1:case 2:return r=this.input[t],r;case 6:return r=this.input[t],r|(r&128)*33554430;case 3:return r=this.read_uint16(t),r;case 8:return r=this.read_uint16(t),r|(r&32768)*131070;case 4:return r=this.read_uint32(t),r;case 9:return r=this.read_uint32(t),r|0;case 5:case 10:case 11:case 12:return null;case 7:return null;default:return null}};jy.prototype.scan_ifd=function(e,t,r){var n=this.read_uint16(t);t+=2;for(var i=0;i<n;i++){var a=this.read_uint16(t),o=this.read_uint16(t+2),s=this.read_uint32(t+4),l=this.exif_format_length(o),u=s*l,c=u<=4?t+8:this.read_uint32(t+8),f=!1;if(c+u>this.input.length)throw lD(\"unexpected EOF\",\"EBADDATA\");for(var h=[],d=c,v=0;v<s;v++,d+=l){var _=this.exif_format_read(o,d);if(_===null){h=null;break}h.push(_)}Array.isArray(h)&&o===2&&(h=ckt(String.fromCharCode.apply(null,h)),h&&h[h.length-1]===\"\\0\"&&(h=h.slice(0,-1))),this.is_subifd_link(e,a)&&Array.isArray(h)&&Number.isInteger(h[0])&&h[0]>0&&(this.ifds_to_read.push({id:a,offset:h[0]}),f=!0);var b={is_big_endian:this.big_endian,ifd:e,tag:a,format:o,count:s,entry_offset:t+this.start,data_length:u,data_offset:c+this.start,value:h,is_subifd_link:f};if(r(b)===!1){this.aborted=!0;return}t+=12}e===0&&this.ifds_to_read.push({id:1,offset:this.read_uint32(t)})};sW.exports.ExifParser=jy;sW.exports.get_orientation=function(e){var t=0;try{return new jy(e,0,e.length).each(function(r){if(r.ifd===0&&r.tag===274&&Array.isArray(r.value))return t=r.value[0],!1}),t}catch(r){return-1}}});var j4e=ye((Tdr,H4e)=>{\"use strict\";var fkt=rc().str2arr,hkt=rc().sliceEq,dkt=rc().readUInt32BE,cD=G4e(),vkt=uD(),pkt=fkt(\"ftyp\");H4e.exports=function(e){if(hkt(e,4,pkt)){var t=cD.unbox(e,0);if(t){var 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vW=Gl(),gCt=Cc().attributes,mCt=ec(),yCt=Lh(),{hovertemplateAttrs:_Ct,texttemplateAttrs:xCt,templatefallbackAttrs:YEe}=Ll(),S2=Ao().extendFlat,bCt=Pd().pattern,vD=mCt({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});KEe.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:yCt.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},pattern:bCt,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:S2({},vW.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:_Ct({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),hovertemplatefallback:YEe(),texttemplate:xCt({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplatefallback:YEe({editType:\"plot\"}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:S2({},vD,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:S2({},vD,{}),outsidetextfont:S2({},vD,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},showlegend:S2({},vW.showlegend,{arrayOk:!0}),legend:S2({},vW.legend,{arrayOk:!0}),title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:S2({},vD,{}),position:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"plot\"},editType:\"plot\"},domain:gCt({name:\"pie\",trace:!0,editType:\"calc\"}),hole:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},sort:{valType:\"boolean\",dflt:!0,editType:\"calc\"},direction:{valType:\"enumerated\",values:[\"clockwise\",\"counterclockwise\"],dflt:\"counterclockwise\",editType:\"calc\"},rotation:{valType:\"angle\",dflt:0,editType:\"calc\"},pull:{valType:\"number\",min:0,max:1,dflt:0,arrayOk:!0,editType:\"calc\"}}});var E2=ye((Hdr,QEe)=>{\"use strict\";var wCt=Eo(),kE=Dr(),TCt=M2(),ACt=Cc().defaults,SCt=r0().handleText,MCt=Dr().coercePattern;function JEe(e,t){var r=kE.isArrayOrTypedArray(e),n=kE.isArrayOrTypedArray(t),i=Math.min(r?e.length:1/0,n?t.length:1/0);if(isFinite(i)||(i=0),i&&n){for(var a,o=0;o<i;o++){var s=t[o];if(wCt(s)&&s>0){a=!0;break}}a||(i=0)}return{hasLabels:r,hasValues:n,len:i}}function $Ee(e,t,r,n,i){var a=n(\"marker.line.width\");a&&n(\"marker.line.color\",i?void 0:r.paper_bgcolor);var o=n(\"marker.colors\");MCt(n,\"marker.pattern\",o),e.marker&&!t.marker.pattern.fgcolor&&(t.marker.pattern.fgcolor=e.marker.colors),t.marker.pattern.bgcolor||(t.marker.pattern.bgcolor=r.paper_bgcolor)}function ECt(e,t,r,n){function i(k,E){return kE.coerce(e,t,TCt,k,E)}var a=i(\"labels\"),o=i(\"values\"),s=JEe(a,o),l=s.len;if(t._hasLabels=s.hasLabels,t._hasValues=s.hasValues,!t._hasLabels&&t._hasValues&&(i(\"label0\"),i(\"dlabel\")),!l){t.visible=!1;return}t._length=l,$Ee(e,t,n,i,!0),i(\"scalegroup\");var u=i(\"text\"),c=i(\"texttemplate\");i(\"texttemplatefallback\");var f;if(c||(f=i(\"textinfo\",kE.isArrayOrTypedArray(u)?\"text+percent\":\"percent\")),i(\"hovertext\"),i(\"hovertemplate\"),i(\"hovertemplatefallback\"),c||f&&f!==\"none\"){var h=i(\"textposition\");SCt(e,t,n,i,h,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1});var d=Array.isArray(h)||h===\"auto\",v=d||h===\"outside\";v&&i(\"automargin\"),(h===\"inside\"||h===\"auto\"||Array.isArray(h))&&i(\"insidetextorientation\")}else f===\"none\"&&i(\"textposition\",\"none\");ACt(t,n,i);var _=i(\"hole\"),b=i(\"title.text\");if(b){var p=i(\"title.position\",_?\"middle center\":\"top center\");!_&&p===\"middle center\"&&(t.title.position=\"top center\"),kE.coerceFont(i,\"title.font\",n.font)}i(\"sort\"),i(\"direction\"),i(\"rotation\"),i(\"pull\")}QEe.exports={handleLabelsAndValues:JEe,handleMarkerDefaults:$Ee,supplyDefaults:ECt}});var pD=ye((jdr,eke)=>{\"use strict\";eke.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}});var rke=ye((Wdr,tke)=>{\"use strict\";var kCt=Dr(),CCt=pD();tke.exports=function(t,r){function n(i,a){return kCt.coerce(t,r,CCt,i,a)}n(\"hiddenlabels\"),n(\"piecolorway\",r.colorway),n(\"extendpiecolors\")}});var TA=ye((Xdr,ake)=>{\"use strict\";var LCt=Eo(),pW=cd(),PCt=ka(),ICt={};function RCt(e,t){var r=[],n=e._fullLayout,i=n.hiddenlabels||[],a=t.labels,o=t.marker.colors||[],s=t.values,l=t._length,u=t._hasValues&&l,c,f;if(t.dlabel)for(a=new Array(l),c=0;c<l;c++)a[c]=String(t.label0+c*t.dlabel);var h={},d=ike(n[\"_\"+t.type+\"colormap\"]),v=0,_=!1;for(c=0;c<l;c++){var b,p,k;if(u){if(b=s[c],!LCt(b))continue;b=+b}else b=1;p=a[c],(p===void 0||p===\"\")&&(p=c),p=String(p);var E=h[p];E===void 0?(h[p]=r.length,k=i.indexOf(p)!==-1,k||(v+=b),r.push({v:b,label:p,color:d(o[c],p),i:c,pts:[c],hidden:k})):(_=!0,f=r[E],f.v+=b,f.pts.push(c),f.hidden||(v+=b),f.color===!1&&o[c]&&(f.color=d(o[c],p)))}r=r.filter(function(L){return L.v>=0});var S=t.type===\"funnelarea\"?_:t.sort;return S&&r.sort(function(L,x){return x.v-L.v}),r[0]&&(r[0].vTotal=v),r}function ike(e){return function(r,n){return!r||(r=pW(r),!r.isValid())?!1:(r=PCt.addOpacity(r,r.getAlpha()),e[n]||(e[n]=r),r)}}function DCt(e,t){var r=(t||{}).type;r||(r=\"pie\");var n=e._fullLayout,i=e.calcdata,a=n[r+\"colorway\"],o=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=nke(a,ICt));for(var s=0,l=0;l<i.length;l++){var u=i[l],c=u[0].trace.type;if(c===r)for(var f=0;f<u.length;f++){var h=u[f];h.color===!1&&(o[h.label]?h.color=o[h.label]:(o[h.label]=h.color=a[s%a.length],s++))}}}function nke(e,t){var r,n=JSON.stringify(e),i=t[n];if(!i){for(i=e.slice(),r=0;r<e.length;r++)i.push(pW(e[r]).lighten(20).toHexString());for(r=0;r<e.length;r++)i.push(pW(e[r]).darken(20).toHexString());t[n]=i}return i}ake.exports={calc:RCt,crossTraceCalc:DCt,makePullColorFn:ike,generateExtendedColors:nke}});var ske=ye((Zdr,oke)=>{\"use strict\";var FCt=ip().appendArrayMultiPointValues;oke.exports=function(t,r){var n={curveNumber:r.index,pointNumbers:t.pts,data:r._input,fullData:r,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return t.pts.length===1&&(n.pointNumber=n.i=t.pts[0]),FCt(n,r,t.pts),r.type===\"funnelarea\"&&(delete n.v,delete n.i),n}});var _D=ye((Ydr,kke)=>{\"use strict\";var Fp=Oa(),zCt=Mc(),gD=vf(),dke=ka(),Wy=So(),rv=Dr(),OCt=rv.strScale,lke=rv.strTranslate,gW=ru(),vke=bv(),qCt=vke.recordMinTextSize,BCt=vke.clearMinTextSize,pke=e2().TEXTPAD,ns=l_(),mD=ske(),uke=Dr().isValidTextValue;function NCt(e,t){var r=e._context.staticPlot,n=e._fullLayout,i=n._size;BCt(\"pie\",n),yke(t,e),Ske(t,i);var a=rv.makeTraceGroups(n._pielayer,t,\"trace\").each(function(o){var s=Fp.select(this),l=o[0],u=l.trace;YCt(o),s.attr(\"stroke-linejoin\",\"round\"),s.each(function(){var c=Fp.select(this).selectAll(\"g.slice\").data(o);c.enter().append(\"g\").classed(\"slice\",!0),c.exit().remove();var f=[[[],[]],[[],[]]],h=!1;c.each(function(S,L){if(S.hidden){Fp.select(this).selectAll(\"path,g\").remove();return}S.pointNumber=S.i,S.curveNumber=u.index,f[S.pxmid[1]<0?0:1][S.pxmid[0]<0?0:1].push(S);var x=l.cx,C=l.cy,M=Fp.select(this),g=M.selectAll(\"path.surface\").data([S]);if(g.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":r?\"none\":\"all\"}),M.call(gke,e,o),u.pull){var P=+ns.castOption(u.pull,S.pts)||0;P>0&&(x+=P*S.pxmid[0],C+=P*S.pxmid[1])}S.cxFinal=x,S.cyFinal=C;function T(N,H,te,oe){var _e=oe*(H[0]-N[0]),Ee=oe*(H[1]-N[1]);return\"a\"+oe*l.r+\",\"+oe*l.r+\" 0 \"+S.largeArc+(te?\" 1 \":\" 0 \")+_e+\",\"+Ee}var z=u.hole;if(S.v===l.vTotal){var O=\"M\"+(x+S.px0[0])+\",\"+(C+S.px0[1])+T(S.px0,S.pxmid,!0,1)+T(S.pxmid,S.px0,!0,1)+\"Z\";z?g.attr(\"d\",\"M\"+(x+z*S.px0[0])+\",\"+(C+z*S.px0[1])+T(S.px0,S.pxmid,!1,z)+T(S.pxmid,S.px0,!1,z)+\"Z\"+O):g.attr(\"d\",O)}else{var V=T(S.px0,S.px1,!0,1);if(z){var G=1-z;g.attr(\"d\",\"M\"+(x+z*S.px1[0])+\",\"+(C+z*S.px1[1])+T(S.px1,S.px0,!1,z)+\"l\"+G*S.px0[0]+\",\"+G*S.px0[1]+V+\"Z\")}else g.attr(\"d\",\"M\"+x+\",\"+C+\"l\"+S.px0[0]+\",\"+S.px0[1]+V+\"Z\")}Mke(e,S,l);var Z=ns.castOption(u.textposition,S.pts),j=M.selectAll(\"g.slicetext\").data(S.text&&Z!==\"none\"?[0]:[]);j.enter().append(\"g\").classed(\"slicetext\",!0),j.exit().remove(),j.each(function(){var N=rv.ensureSingle(Fp.select(this),\"text\",\"\",function(ie){ie.attr(\"data-notex\",1)}),H=rv.ensureUniformFontSize(e,Z===\"outside\"?VCt(u,S,n.font):mke(u,S,n.font));N.text(S.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(Wy.font,H).call(gW.convertToTspans,e);var te=Wy.bBox(N.node()),oe;if(Z===\"outside\")oe=hke(te,S);else if(oe=_ke(te,S,l),Z===\"auto\"&&oe.scale<1){var _e=rv.ensureUniformFontSize(e,u.outsidetextfont);N.call(Wy.font,_e),te=Wy.bBox(N.node()),oe=hke(te,S)}var Ee=oe.textPosAngle,Ce=Ee===void 0?S.pxmid:yD(l.r,Ee);if(oe.targetX=x+Ce[0]*oe.rCenter+(oe.x||0),oe.targetY=C+Ce[1]*oe.rCenter+(oe.y||0),Eke(oe,te),oe.outside){var me=oe.targetY;S.yLabelMin=me-te.height/2,S.yLabelMid=me,S.yLabelMax=me+te.height/2,S.labelExtraX=0,S.labelExtraY=0,h=!0}oe.fontSize=H.size,qCt(u.type,oe,n),o[L].transform=oe,rv.setTransormAndDisplay(N,oe)})});var d=Fp.select(this).selectAll(\"g.titletext\").data(u.title.text?[0]:[]);if(d.enter().append(\"g\").classed(\"titletext\",!0),d.exit().remove(),d.each(function(){var S=rv.ensureSingle(Fp.select(this),\"text\",\"\",function(C){C.attr(\"data-notex\",1)}),L=u.title.text;u._meta&&(L=rv.templateString(L,u._meta)),S.text(L).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(Wy.font,u.title.font).call(gW.convertToTspans,e);var x;u.title.position===\"middle center\"?x=jCt(l):x=Tke(l,i),S.attr(\"transform\",lke(x.x,x.y)+OCt(Math.min(1,x.scale))+lke(x.tx,x.ty))}),h&&XCt(f,u),UCt(c,u),h&&u.automargin){var v=Wy.bBox(s.node()),_=u.domain,b=i.w*(_.x[1]-_.x[0]),p=i.h*(_.y[1]-_.y[0]),k=(.5*b-l.r)/i.w,E=(.5*p-l.r)/i.h;zCt.autoMargin(e,\"pie.\"+u.uid+\".automargin\",{xl:_.x[0]-k,xr:_.x[1]+k,yb:_.y[0]-E,yt:_.y[1]+E,l:Math.max(l.cx-l.r-v.left,0),r:Math.max(v.right-(l.cx+l.r),0),b:Math.max(v.bottom-(l.cy+l.r),0),t:Math.max(l.cy-l.r-v.top,0),pad:5})}})});setTimeout(function(){a.selectAll(\"tspan\").each(function(){var o=Fp.select(this);o.attr(\"dy\")&&o.attr(\"dy\",o.attr(\"dy\"))})},0)}function UCt(e,t){e.each(function(r){var n=Fp.select(this);if(!r.labelExtraX&&!r.labelExtraY){n.select(\"path.textline\").remove();return}var i=n.select(\"g.slicetext text\");r.transform.targetX+=r.labelExtraX,r.transform.targetY+=r.labelExtraY,rv.setTransormAndDisplay(i,r.transform);var a=r.cxFinal+r.pxmid[0],o=r.cyFinal+r.pxmid[1],s=\"M\"+a+\",\"+o,l=(r.yLabelMax-r.yLabelMin)*(r.pxmid[0]<0?-1:1)/4;if(r.labelExtraX){var u=r.labelExtraX*r.pxmid[1]/r.pxmid[0],c=r.yLabelMid+r.labelExtraY-(r.cyFinal+r.pxmid[1]);Math.abs(u)>Math.abs(c)?s+=\"l\"+c*r.pxmid[0]/r.pxmid[1]+\",\"+c+\"H\"+(a+r.labelExtraX+l):s+=\"l\"+r.labelExtraX+\",\"+u+\"v\"+(c-u)+\"h\"+l}else s+=\"V\"+(r.yLabelMid+r.labelExtraY)+\"h\"+l;rv.ensureSingle(n,\"path\",\"textline\").call(dke.stroke,t.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,t.outsidetextfont.size/8),d:s,fill:\"none\"})})}function gke(e,t,r){var n=r[0],i=n.cx,a=n.cy,o=n.trace,s=o.type===\"funnelarea\";\"_hasHoverLabel\"in o||(o._hasHoverLabel=!1),\"_hasHoverEvent\"in o||(o._hasHoverEvent=!1),e.on(\"mouseover\",function(l){var u=t._fullLayout,c=t._fullData[o.index];if(!(t._dragging||u.hovermode===!1)){var f=c.hoverinfo;if(Array.isArray(f)&&(f=gD.castHoverinfo({hoverinfo:[ns.castOption(f,l.pts)],_module:o._module},u,0)),f===\"all\"&&(f=\"label+text+value+percent+name\"),c.hovertemplate||f!==\"none\"&&f!==\"skip\"&&f){var h=l.rInscribed||0,d=i+l.pxmid[0]*(1-h),v=a+l.pxmid[1]*(1-h),_=u.separators,b=[];if(f&&f.indexOf(\"label\")!==-1&&b.push(l.label),l.text=ns.castOption(c.hovertext||c.text,l.pts),f&&f.indexOf(\"text\")!==-1){var p=l.text;rv.isValidTextValue(p)&&b.push(p)}l.value=l.v,l.valueLabel=ns.formatPieValue(l.v,_),f&&f.indexOf(\"value\")!==-1&&b.push(l.valueLabel),l.percent=l.v/n.vTotal,l.percentLabel=ns.formatPiePercent(l.percent,_),f&&f.indexOf(\"percent\")!==-1&&b.push(l.percentLabel);var k=c.hoverlabel,E=k.font,S=[];gD.loneHover({trace:o,x0:d-h*n.r,x1:d+h*n.r,y:v,_x0:s?i+l.TL[0]:d-h*n.r,_x1:s?i+l.TR[0]:d+h*n.r,_y0:s?a+l.TL[1]:v-h*n.r,_y1:s?a+l.BL[1]:v+h*n.r,text:b.join(\"<br>\"),name:c.hovertemplate||f.indexOf(\"name\")!==-1?c.name:void 0,idealAlign:l.pxmid[0]<0?\"left\":\"right\",color:ns.castOption(k.bgcolor,l.pts)||l.color,borderColor:ns.castOption(k.bordercolor,l.pts),fontFamily:ns.castOption(E.family,l.pts),fontSize:ns.castOption(E.size,l.pts),fontColor:ns.castOption(E.color,l.pts),nameLength:ns.castOption(k.namelength,l.pts),textAlign:ns.castOption(k.align,l.pts),hovertemplate:ns.castOption(c.hovertemplate,l.pts),hovertemplateLabels:l,eventData:[mD(l,c)]},{container:u._hoverlayer.node(),outerContainer:u._paper.node(),gd:t,inOut_bbox:S}),l.bbox=S[0],o._hasHoverLabel=!0}o._hasHoverEvent=!0,t.emit(\"plotly_hover\",{points:[mD(l,c)],event:Fp.event})}}),e.on(\"mouseout\",function(l){var u=t._fullLayout,c=t._fullData[o.index],f=Fp.select(this).datum();o._hasHoverEvent&&(l.originalEvent=Fp.event,t.emit(\"plotly_unhover\",{points:[mD(f,c)],event:Fp.event}),o._hasHoverEvent=!1),o._hasHoverLabel&&(gD.loneUnhover(u._hoverlayer.node()),o._hasHoverLabel=!1)}),e.on(\"click\",function(l){var u=t._fullLayout,c=t._fullData[o.index];t._dragging||u.hovermode===!1||(t._hoverdata=[mD(l,c)],gD.click(t,Fp.event))})}function VCt(e,t,r){var n=ns.castOption(e.outsidetextfont.color,t.pts)||ns.castOption(e.textfont.color,t.pts)||r.color,i=ns.castOption(e.outsidetextfont.family,t.pts)||ns.castOption(e.textfont.family,t.pts)||r.family,a=ns.castOption(e.outsidetextfont.size,t.pts)||ns.castOption(e.textfont.size,t.pts)||r.size,o=ns.castOption(e.outsidetextfont.weight,t.pts)||ns.castOption(e.textfont.weight,t.pts)||r.weight,s=ns.castOption(e.outsidetextfont.style,t.pts)||ns.castOption(e.textfont.style,t.pts)||r.style,l=ns.castOption(e.outsidetextfont.variant,t.pts)||ns.castOption(e.textfont.variant,t.pts)||r.variant,u=ns.castOption(e.outsidetextfont.textcase,t.pts)||ns.castOption(e.textfont.textcase,t.pts)||r.textcase,c=ns.castOption(e.outsidetextfont.lineposition,t.pts)||ns.castOption(e.textfont.lineposition,t.pts)||r.lineposition,f=ns.castOption(e.outsidetextfont.shadow,t.pts)||ns.castOption(e.textfont.shadow,t.pts)||r.shadow;return{color:n,family:i,size:a,weight:o,style:s,variant:l,textcase:u,lineposition:c,shadow:f}}function mke(e,t,r){var n=ns.castOption(e.insidetextfont.color,t.pts);!n&&e._input.textfont&&(n=ns.castOption(e._input.textfont.color,t.pts));var i=ns.castOption(e.insidetextfont.family,t.pts)||ns.castOption(e.textfont.family,t.pts)||r.family,a=ns.castOption(e.insidetextfont.size,t.pts)||ns.castOption(e.textfont.size,t.pts)||r.size,o=ns.castOption(e.insidetextfont.weight,t.pts)||ns.castOption(e.textfont.weight,t.pts)||r.weight,s=ns.castOption(e.insidetextfont.style,t.pts)||ns.castOption(e.textfont.style,t.pts)||r.style,l=ns.castOption(e.insidetextfont.variant,t.pts)||ns.castOption(e.textfont.variant,t.pts)||r.variant,u=ns.castOption(e.insidetextfont.textcase,t.pts)||ns.castOption(e.textfont.textcase,t.pts)||r.textcase,c=ns.castOption(e.insidetextfont.lineposition,t.pts)||ns.castOption(e.textfont.lineposition,t.pts)||r.lineposition,f=ns.castOption(e.insidetextfont.shadow,t.pts)||ns.castOption(e.textfont.shadow,t.pts)||r.shadow;return{color:n||dke.contrast(t.color),family:i,size:a,weight:o,style:s,variant:l,textcase:u,lineposition:c,shadow:f}}function yke(e,t){for(var r,n,i=0;i<e.length;i++)if(r=e[i][0],n=r.trace,n.title.text){var 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Le=Av.ensureSingle(ie,\"g\",\"slicetext\"),Ae=Av.ensureSingle(Le,\"text\",\"\",function(Re){Re.attr(\"data-notex\",1)}),Fe=Av.ensureUniformFontSize(e,Rl.determineTextFont(c,me,a.font));Ae.text(UD.formatSliceLabel(me,h,c,t,a)).classed(\"slicetext\",!0).attr(\"text-anchor\",\"middle\").call(_6e.font,Fe).call(eLt.convertToTspans,e);var Pe=_6e.bBox(Ae.node());me.transform=nLt(Pe,me,u),me.transform.targetX=Z(me),me.transform.targetY=j(me);var ge=function(Re,ce){var Ze=Re.transform;return iLt(Ze,ce),Ze.fontSize=Fe.size,x6e(c.type,Ze,a),Av.getTextTransform(Ze)};o?Ae.transition().attrTween(\"transform\",function(Re){var ce=Ee(Re);return function(Ze){return ge(ce(Ze),Pe)}}):Ae.attr(\"transform\",ge(me,Pe))});function oe(me){var ie=Rl.getPtId(me),Se=x[ie],Le=x[Rl.getPtId(h)],Ae;if(Le){var Fe=(me.x1>Le.x1?2*Math.PI:0)+T;Ae=me.rpx1<Le.rpx1?{x0:me.x0,x1:me.x1,rpx0:0,rpx1:0}:{x0:Fe,x1:Fe,rpx0:me.rpx0,rpx1:me.rpx1}}else{var Pe,ge=Rl.getPtId(me.parent);l.each(function(pt){if(Rl.getPtId(pt)===ge)return 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k=p.prototype;k.bind=function(S,L,x){this.shader.bind(),this.shader.uniforms.model=S,this.shader.uniforms.view=L,this.shader.uniforms.projection=x,v[0]=this.gl.drawingBufferWidth,v[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=v,this.vao.bind()},k.unbind=function(){this.vao.unbind()},k.drawAxisLine=function(S,L,x,C,M){var g=_(f);this.shader.uniforms.majorAxis=f,g[S]=L[1][S]-L[0][S],this.shader.uniforms.minorAxis=g;var P=b(d,x);P[S]+=L[0][S],this.shader.uniforms.offset=P,this.shader.uniforms.lineWidth=M,this.shader.uniforms.color=C;var T=_(h);T[(S+2)%3]=1,this.shader.uniforms.screenAxis=T,this.vao.draw(this.gl.TRIANGLES,6);var T=_(h);T[(S+1)%3]=1,this.shader.uniforms.screenAxis=T,this.vao.draw(this.gl.TRIANGLES,6)},k.drawAxisTicks=function(S,L,x,C,M){if(this.tickCount[S]){var g=_(c);g[S]=1,this.shader.uniforms.majorAxis=g,this.shader.uniforms.offset=L,this.shader.uniforms.minorAxis=x,this.shader.uniforms.color=C,this.shader.uniforms.lineWidth=M;var P=_(h);P[S]=1,this.shader.uniforms.screenAxis=P,this.vao.draw(this.gl.TRIANGLES,this.tickCount[S],this.tickOffset[S])}},k.drawGrid=function(S,L,x,C,M,g){if(this.gridCount[S]){var P=_(f);P[L]=x[1][L]-x[0][L],this.shader.uniforms.minorAxis=P;var T=b(d,C);T[L]+=x[0][L],this.shader.uniforms.offset=T;var z=_(c);z[S]=1,this.shader.uniforms.majorAxis=z;var O=_(h);O[S]=1,this.shader.uniforms.screenAxis=O,this.shader.uniforms.lineWidth=g,this.shader.uniforms.color=M,this.vao.draw(this.gl.TRIANGLES,this.gridCount[S],this.gridOffset[S])}},k.drawZero=function(S,L,x,C,M,g){var P=_(f);this.shader.uniforms.majorAxis=P,P[S]=x[1][S]-x[0][S],this.shader.uniforms.minorAxis=P;var T=b(d,C);T[S]+=x[0][S],this.shader.uniforms.offset=T;var z=_(h);z[L]=1,this.shader.uniforms.screenAxis=z,this.shader.uniforms.lineWidth=g,this.shader.uniforms.color=M,this.vao.draw(this.gl.TRIANGLES,6)},k.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()};function E(S,L,x){var C=[],M=[0,0,0],g=[0,0,0],P=[0,0,0],T=[0,0,0];C.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var z=0;z<3;++z){for(var G=C.length/3|0,O=0;O<x[z].length;++O){var V=+x[z][O].x;C.push(V,0,1,V,1,1,V,0,-1,V,0,-1,V,1,1,V,1,-1)}var j=C.length/3|0;M[z]=G,g[z]=j-G;for(var G=C.length/3|0,Z=0;Z<x[z].length;++Z){var V=+x[z][Z].x;C.push(V,0,1,V,1,1,V,0,-1,V,0,-1,V,1,1,V,1,-1)}var j=C.length/3|0;P[z]=G,T[z]=j-G}var N=s(S,new Float32Array(C)),H=l(S,[{buffer:N,type:S.FLOAT,size:3,stride:0,offset:0}]),te=u(S);return te.attributes.position.location=0,new p(S,N,H,te,g,M,T,P)}},544:function(i,a,o){\"use strict\";var s=o(5572);i.exports=l;function l(u,c){for(var f=u.length,h=new Array(f),d=0;d<f;++d)h[d]=s(u[d],c[d]);return h}},606:function(i,a,o){var s=o(236);i.exports=l;function l(){var u=s();return{get:function(c,f){var h=u(c);return h.hasOwnProperty(\"value\")?h.value:f},set:function(c,f){return u(c).value=f,this},has:function(c){return\"value\"in u(c)},delete:function(c){return delete u(c).value}}}},614:function(i,a,o){var s=o(3236),l=s([`precision highp float;\n",
       "\n",
       "precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "vec3 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",
       "//\n",
       "vec3 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",
       "\n",
       "attribute vec3 vector;\n",
       "attribute vec4 color, position;\n",
       "attribute vec2 uv;\n",
       "\n",
       "uniform float vectorScale, coneScale, coneOffset;\n",
       "uniform mat4 model, view, projection, inverseModel;\n",
       "uniform vec3 eyePosition, lightPosition;\n",
       "\n",
       "varying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\n",
       "varying vec4 f_color;\n",
       "varying vec2 f_uv;\n",
       "\n",
       "void 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",
       "`]),u=s([`#extension GL_OES_standard_derivatives : enable\n",
       "\n",
       "precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "float 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",
       "\n",
       "float 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",
       "bool outOfRange(float a, float b, float p) {\n",
       "  return ((p > max(a, b)) || \n",
       "          (p < min(a, b)));\n",
       "}\n",
       "\n",
       "bool 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",
       "\n",
       "bool 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",
       "\n",
       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
       "}\n",
       "\n",
       "uniform vec3 clipBounds[2];\n",
       "uniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\n",
       "uniform sampler2D texture;\n",
       "\n",
       "varying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\n",
       "varying vec4 f_color;\n",
       "varying vec2 f_uv;\n",
       "\n",
       "void 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",
       "`]),c=s([`precision highp float;\n",
       "\n",
       "precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "vec3 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",
       "//\n",
       "vec3 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",
       "\n",
       "attribute vec4 vector;\n",
       "attribute vec4 position;\n",
       "attribute vec4 id;\n",
       "\n",
       "uniform mat4 model, view, projection;\n",
       "uniform float vectorScale, coneScale, coneOffset;\n",
       "\n",
       "varying vec3 f_position;\n",
       "varying vec4 f_id;\n",
       "\n",
       "void 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",
       "`]),f=s([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "bool outOfRange(float a, float b, float p) {\n",
       "  return ((p > max(a, b)) || \n",
       "          (p < min(a, b)));\n",
       "}\n",
       "\n",
       "bool 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",
       "\n",
       "bool 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",
       "\n",
       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
       "}\n",
       "\n",
       "uniform vec3  clipBounds[2];\n",
       "uniform float pickId;\n",
       "\n",
       "varying vec3 f_position;\n",
       "varying vec4 f_id;\n",
       "\n",
       "void main() {\n",
       "  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n",
       "\n",
       "  gl_FragColor = vec4(pickId, f_id.xyz);\n",
       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       "  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\n",
       "  gl_FragColor = min(vec4(1,1,1,1), accum);\n",
       "}`]);i.exports=function(f){return l(f,u,c,null,[{name:\"position\",type:\"vec2\"}])}},811:function(i){i.exports=a;function a(o,s){return o[0]=1/s[0],o[1]=1/s[1],o[2]=1/s[2],o}},840:function(i,a,o){var s=o(3236),l=s([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "attribute vec3 position, normal;\n",
       "attribute vec4 color;\n",
       "attribute vec2 uv;\n",
       "\n",
       "uniform mat4 model\n",
       "           , view\n",
       "           , projection\n",
       "           , inverseModel;\n",
       "uniform vec3 eyePosition\n",
       "           , lightPosition;\n",
       "\n",
       "varying vec3 f_normal\n",
       "           , f_lightDirection\n",
       "           , f_eyeDirection\n",
       "           , f_data;\n",
       "varying vec4 f_color;\n",
       "varying vec2 f_uv;\n",
       "\n",
       "vec4 project(vec3 p) {\n",
       "  return projection * (view * (model * vec4(p, 1.0)));\n",
       "}\n",
       "\n",
       "void 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",
       "`]),u=s([`#extension GL_OES_standard_derivatives : enable\n",
       "\n",
       "precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "float 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",
       "\n",
       "float 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",
       "\n",
       "bool outOfRange(float a, float b, float p) {\n",
       "  return ((p > max(a, b)) || \n",
       "          (p < min(a, b)));\n",
       "}\n",
       "\n",
       "bool 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",
       "\n",
       "bool 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",
       "\n",
       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
       "}\n",
       "\n",
       "uniform vec3 clipBounds[2];\n",
       "uniform float roughness\n",
       "            , fresnel\n",
       "            , kambient\n",
       "            , kdiffuse\n",
       "            , kspecular;\n",
       "uniform sampler2D texture;\n",
       "\n",
       "varying vec3 f_normal\n",
       "           , f_lightDirection\n",
       "           , f_eyeDirection\n",
       "           , f_data;\n",
       "varying vec4 f_color;\n",
       "varying vec2 f_uv;\n",
       "\n",
       "void 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",
       "`]),c=s([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "attribute vec3 position;\n",
       "attribute vec4 color;\n",
       "attribute vec2 uv;\n",
       "\n",
       "uniform mat4 model, view, projection;\n",
       "\n",
       "varying vec4 f_color;\n",
       "varying vec3 f_data;\n",
       "varying vec2 f_uv;\n",
       "\n",
       "void main() {\n",
       "  gl_Position = projection * (view * (model * vec4(position, 1.0)));\n",
       "  f_color = color;\n",
       "  f_data  = position;\n",
       "  f_uv    = uv;\n",
       "}`]),f=s([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "bool outOfRange(float a, float b, float p) {\n",
       "  return ((p > max(a, b)) || \n",
       "          (p < min(a, b)));\n",
       "}\n",
       "\n",
       "bool 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",
       "\n",
       "bool 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",
       "\n",
       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
       "}\n",
       "\n",
       "uniform vec3 clipBounds[2];\n",
       "uniform sampler2D texture;\n",
       "uniform float opacity;\n",
       "\n",
       "varying vec4 f_color;\n",
       "varying vec3 f_data;\n",
       "varying vec2 f_uv;\n",
       "\n",
       "void main() {\n",
       "  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\n",
       "\n",
       "  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n",
       "}`]),h=s([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "bool outOfRange(float a, float b, float p) {\n",
       "  return ((p > max(a, b)) || \n",
       "          (p < min(a, b)));\n",
       "}\n",
       "\n",
       "bool 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",
       "\n",
       "bool 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",
       "\n",
       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
       "}\n",
       "\n",
       "attribute vec3 position;\n",
       "attribute vec4 color;\n",
       "attribute vec2 uv;\n",
       "attribute float pointSize;\n",
       "\n",
       "uniform mat4 model, view, projection;\n",
       "uniform vec3 clipBounds[2];\n",
       "\n",
       "varying vec4 f_color;\n",
       "varying vec2 f_uv;\n",
       "\n",
       "void 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",
       "}`]),d=s([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "uniform sampler2D texture;\n",
       "uniform float opacity;\n",
       "\n",
       "varying vec4 f_color;\n",
       "varying vec2 f_uv;\n",
       "\n",
       "void 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",
       "}`]),v=s([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "attribute vec3 position;\n",
       "attribute vec4 id;\n",
       "\n",
       "uniform mat4 model, view, projection;\n",
       "\n",
       "varying vec3 f_position;\n",
       "varying vec4 f_id;\n",
       "\n",
       "void main() {\n",
       "  gl_Position = projection * (view * (model * vec4(position, 1.0)));\n",
       "  f_id        = id;\n",
       "  f_position  = position;\n",
       "}`]),_=s([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "bool outOfRange(float a, float b, float p) {\n",
       "  return ((p > max(a, b)) || \n",
       "          (p < min(a, b)));\n",
       "}\n",
       "\n",
       "bool 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",
       "\n",
       "bool 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",
       "\n",
       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
       "}\n",
       "\n",
       "uniform vec3  clipBounds[2];\n",
       "uniform float pickId;\n",
       "\n",
       "varying vec3 f_position;\n",
       "varying vec4 f_id;\n",
       "\n",
       "void main() {\n",
       "  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n",
       "\n",
       "  gl_FragColor = vec4(pickId, f_id.xyz);\n",
       "}`]),b=s([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "bool outOfRange(float a, float b, float p) {\n",
       "  return ((p > max(a, b)) || \n",
       "          (p < min(a, b)));\n",
       "}\n",
       "\n",
       "bool 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",
       "\n",
       "bool 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",
       "\n",
       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
       "}\n",
       "\n",
       "attribute vec3  position;\n",
       "attribute float pointSize;\n",
       "attribute vec4  id;\n",
       "\n",
       "uniform mat4 model, view, projection;\n",
       "uniform vec3 clipBounds[2];\n",
       "\n",
       "varying vec3 f_position;\n",
       "varying vec4 f_id;\n",
       "\n",
       "void 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=s([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "attribute vec3 position;\n",
       "\n",
       "uniform mat4 model, view, projection;\n",
       "\n",
       "void main() {\n",
       "  gl_Position = projection * (view * (model * vec4(position, 1.0)));\n",
       "}`]),k=s([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "uniform vec3 contourColor;\n",
       "\n",
       "void main() {\n",
       "  gl_FragColor = vec4(contourColor, 1.0);\n",
       "}\n",
       "`]);a.meshShader={vertex:l,fragment:u,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},a.wireShader={vertex:c,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},a.pointShader={vertex:h,fragment:d,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},a.pickShader={vertex:v,fragment:_,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},a.pointPickShader={vertex:b,fragment:_,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},a.contourShader={vertex:p,fragment:k,attributes:[{name:\"position\",type:\"vec3\"}]}},855:function(i,a,o){\"use strict\";i.exports={init:E,sweepBipartite:x,sweepComplete:C,scanBipartite:M,scanComplete:g};var 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if(Pe>=0)S(h,d,Ae--,Pe);else if(Pe<=-c){Pe=-Pe-c|0;for(var ge=0;ge<Ae;++ge){var Re=T(h[ge],Pe);if(Re!==void 0)return Re}L(v,_,Fe++,Pe)}else{Pe=-Pe-1|0;for(var ge=0;ge<Fe;++ge){var Re=T(Pe,v[ge]);if(Re!==void 0)return Re}L(h,d,Ae++,Pe)}}}function C(P,T,z,O,V,G,Z,j,N,H){for(var te=0,oe=2*P,_e=P-1,Ee=oe-1,Ce=z;Ce<O;++Ce){var me=G[Ce]+1<<1,ie=oe*Ce;k[te++]=V[ie+_e],k[te++]=-me,k[te++]=V[ie+Ee],k[te++]=me}for(var Ce=Z;Ce<j;++Ce){var me=H[Ce]+1<<1,Se=oe*Ce;k[te++]=N[Se+_e],k[te++]=-me|1,k[te++]=N[Se+Ee],k[te++]=me|1}var Le=te>>>1;u(k,Le);for(var Ae=0,Fe=0,Pe=0,Ce=0;Ce<Le;++Ce){var ge=k[2*Ce+1]|0,Re=ge&1;if(Ce<Le-1&&ge>>1===k[2*Ce+3]>>1&&(Re=2,Ce+=1),ge<0){for(var ce=-(ge>>1)-1,Ze=0;Ze<Pe;++Ze){var ut=T(b[Ze],ce);if(ut!==void 0)return ut}if(Re!==0)for(var Ze=0;Ze<Ae;++Ze){var ut=T(h[Ze],ce);if(ut!==void 0)return ut}if(Re!==1)for(var Ze=0;Ze<Fe;++Ze){var ut=T(v[Ze],ce);if(ut!==void 0)return ut}Re===0?L(h,d,Ae++,ce):Re===1?L(v,_,Fe++,ce):Re===2&&L(b,p,Pe++,ce)}else{var ce=(ge>>1)-1;Re===0?S(h,d,Ae--,ce):Re===1?S(v,_,Fe--,ce):Re===2&&S(b,p,Pe--,ce)}}}function M(P,T,z,O,V,G,Z,j,N,H,te,oe){var _e=0,Ee=2*P,Ce=T,me=T+P,ie=1,Se=1;O?Se=c:ie=c;for(var Le=V;Le<G;++Le){var Ae=Le+ie,Fe=Ee*Le;k[_e++]=Z[Fe+Ce],k[_e++]=-Ae,k[_e++]=Z[Fe+me],k[_e++]=Ae}for(var Le=N;Le<H;++Le){var Ae=Le+Se,Pe=Ee*Le;k[_e++]=te[Pe+Ce],k[_e++]=-Ae}var ge=_e>>>1;u(k,ge);for(var Re=0,Le=0;Le<ge;++Le){var ce=k[2*Le+1]|0;if(ce<0){var Ae=-ce,Ze=!1;if(Ae>=c?(Ze=!O,Ae-=c):(Ze=!!O,Ae-=1),Ze)L(h,d,Re++,Ae);else{var ut=oe[Ae],pt=Ee*Ae,Zt=te[pt+T+1],st=te[pt+T+1+P];e:for(var lt=0;lt<Re;++lt){var Gt=h[lt],Nt=Ee*Gt;if(!(st<Z[Nt+T+1]||Z[Nt+T+1+P]<Zt)){for(var Jt=T+2;Jt<P;++Jt)if(te[pt+Jt+P]<Z[Nt+Jt]||Z[Nt+Jt+P]<te[pt+Jt])continue e;var sr=j[Gt],wr;if(O?wr=z(ut,sr):wr=z(sr,ut),wr!==void 0)return wr}}}}else S(h,d,Re--,ce-ie)}}function g(P,T,z,O,V,G,Z,j,N,H,te){for(var oe=0,_e=2*P,Ee=T,Ce=T+P,me=O;me<V;++me){var ie=me+c,Se=_e*me;k[oe++]=G[Se+Ee],k[oe++]=-ie,k[oe++]=G[Se+Ce],k[oe++]=ie}for(var me=j;me<N;++me){var ie=me+1,Le=_e*me;k[oe++]=H[Le+Ee],k[oe++]=-ie}var Ae=oe>>>1;u(k,Ae);for(var Fe=0,me=0;me<Ae;++me){var Pe=k[2*me+1]|0;if(Pe<0){var ie=-Pe;if(ie>=c)h[Fe++]=ie-c;else{ie-=1;var ge=te[ie],Re=_e*ie,ce=H[Re+T+1],Ze=H[Re+T+1+P];e:for(var ut=0;ut<Fe;++ut){var pt=h[ut],Zt=Z[pt];if(Zt===ge)break;var st=_e*pt;if(!(Ze<G[st+T+1]||G[st+T+1+P]<ce)){for(var lt=T+2;lt<P;++lt)if(H[Re+lt+P]<G[st+lt]||G[st+lt+P]<H[Re+lt])continue e;var Gt=z(Zt,ge);if(Gt!==void 0)return Gt}}}}else{for(var ie=Pe-c,ut=Fe-1;ut>=0;--ut)if(h[ut]===ie){for(var lt=ut+1;lt<Fe;++lt)h[lt-1]=h[lt];break}--Fe}}}},868:function(i,a,o){i.exports=o(1387)},869:function(i,a,o){\"use strict\";var s=o(2651),l=o(5716);i.exports=u;function u(c,f){var h=l(c),d=l(f);if(h===0)return[s(0),s(1)];if(d===0)return[s(0),s(0)];d<0&&(c=c.neg(),f=f.neg());var v=c.gcd(f);return v.cmpn(1)?[c.div(v),f.div(v)]:[c,f]}},870:function(i,a,o){\"use strict\";var s=o(1433);function l(c){this.gl=c,this._elements=null,this._attributes=null,this._elementsType=c.UNSIGNED_SHORT}l.prototype.bind=function(){s(this.gl,this._elements,this._attributes)},l.prototype.update=function(c,f,h){this._elements=f,this._attributes=c,this._elementsType=h||this.gl.UNSIGNED_SHORT},l.prototype.dispose=function(){},l.prototype.unbind=function(){},l.prototype.draw=function(c,f,h){h=h||0;var d=this.gl;this._elements?d.drawElements(c,f,this._elementsType,h):d.drawArrays(c,h,f)};function u(c){return new l(c)}i.exports=u},946:function(i,a,o){\"use strict\";var s=o(1369),l=o(4025);i.exports=u;function u(c){var f=c[0],h=c[1];if(f.cmpn(0)===0)return 0;var d=f.abs().divmod(h.abs()),v=d.div,_=s(v),b=d.mod,p=f.negative!==h.negative?-1:1;if(b.cmpn(0)===0)return p*_;if(_){var k=l(_)+4,E=s(b.ushln(k).divRound(h));return p*(_+E*Math.pow(2,-k))}else{var S=h.bitLength()-b.bitLength()+53,E=s(b.ushln(S).divRound(h));return S<1023?p*E*Math.pow(2,-S):(E*=Math.pow(2,-1023),p*E*Math.pow(2,1023-S))}}},990:function(i,a,o){var s=o(9405),l=o(3236),u=l([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "attribute vec4 uv;\n",
       "attribute vec3 f;\n",
       "attribute vec3 normal;\n",
       "\n",
       "uniform vec3 objectOffset;\n",
       "uniform mat4 model, view, projection, inverseModel;\n",
       "uniform vec3 lightPosition, eyePosition;\n",
       "uniform sampler2D colormap;\n",
       "\n",
       "varying float value, kill;\n",
       "varying vec3 worldCoordinate;\n",
       "varying vec2 planeCoordinate;\n",
       "varying vec3 lightDirection, eyeDirection, surfaceNormal;\n",
       "varying vec4 vColor;\n",
       "\n",
       "void main() {\n",
       "  vec3 localCoordinate = vec3(uv.zw, f.x);\n",
       "  worldCoordinate = objectOffset + localCoordinate;\n",
       "  mat4 objectOffsetTranslation = mat4(1.0) + mat4(vec4(0), vec4(0), vec4(0), vec4(objectOffset, 0));\n",
       "  vec4 worldPosition = (model * objectOffsetTranslation) * vec4(localCoordinate, 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",
       "`]),c=l([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "float 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",
       "\n",
       "float beckmannSpecular(\n",
       "  vec3 lightDirection,\n",
       "  vec3 viewDirection,\n",
       "  vec3 surfaceNormal,\n",
       "  float roughness) {\n",
       "  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\n",
       "}\n",
       "\n",
       "bool outOfRange(float a, float b, float p) {\n",
       "  return ((p > max(a, b)) || \n",
       "          (p < min(a, b)));\n",
       "}\n",
       "\n",
       "bool 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",
       "\n",
       "bool 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",
       "\n",
       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
       "}\n",
       "\n",
       "uniform vec3 lowerBound, upperBound;\n",
       "uniform float contourTint;\n",
       "uniform vec4 contourColor;\n",
       "uniform sampler2D colormap;\n",
       "uniform vec3 clipBounds[2];\n",
       "uniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\n",
       "uniform float vertexColor;\n",
       "\n",
       "varying float value, kill;\n",
       "varying vec3 worldCoordinate;\n",
       "varying vec3 lightDirection, eyeDirection, surfaceNormal;\n",
       "varying vec4 vColor;\n",
       "\n",
       "void 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 \\u2014 in vertex or in fragment\n",
       "  vec4 surfaceColor =\n",
       "    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\n",
       "    step(.5, vertexColor) * vColor;\n",
       "\n",
       "  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n",
       "\n",
       "  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\n",
       "}\n",
       "`]),f=l([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "attribute vec4 uv;\n",
       "attribute float f;\n",
       "\n",
       "uniform vec3 objectOffset;\n",
       "uniform mat3 permutation;\n",
       "uniform mat4 model, view, projection;\n",
       "uniform float height, zOffset;\n",
       "uniform sampler2D colormap;\n",
       "\n",
       "varying float value, kill;\n",
       "varying vec3 worldCoordinate;\n",
       "varying vec2 planeCoordinate;\n",
       "varying vec3 lightDirection, eyeDirection, surfaceNormal;\n",
       "varying vec4 vColor;\n",
       "\n",
       "void main() {\n",
       "  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\n",
       "  worldCoordinate = objectOffset + dataCoordinate;\n",
       "  mat4 objectOffsetTranslation = mat4(1.0) + mat4(vec4(0), vec4(0), vec4(0), vec4(objectOffset, 0));\n",
       "  vec4 worldPosition = (model * objectOffsetTranslation) * vec4(dataCoordinate, 1.0);\n",
       "\n",
       "  vec4 clipPosition = projection * (view * worldPosition);\n",
       "  clipPosition.z += zOffset;\n",
       "\n",
       "  gl_Position = clipPosition;\n",
       "  value = f + objectOffset.z;\n",
       "  kill = -1.0;\n",
       "  planeCoordinate = uv.zw;\n",
       "\n",
       "  vColor = texture2D(colormap, vec2(value, value));\n",
       "\n",
       "  //Don't do lighting for contours\n",
       "  surfaceNormal   = vec3(1,0,0);\n",
       "  eyeDirection    = vec3(0,1,0);\n",
       "  lightDirection  = vec3(0,0,1);\n",
       "}\n",
       "`]),h=l([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "bool outOfRange(float a, float b, float p) {\n",
       "  return ((p > max(a, b)) || \n",
       "          (p < min(a, b)));\n",
       "}\n",
       "\n",
       "bool 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",
       "\n",
       "bool 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",
       "\n",
       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
       "}\n",
       "\n",
       "uniform vec2 shape;\n",
       "uniform vec3 clipBounds[2];\n",
       "uniform float pickId;\n",
       "\n",
       "varying float value, kill;\n",
       "varying vec3 worldCoordinate;\n",
       "varying vec2 planeCoordinate;\n",
       "varying vec3 surfaceNormal;\n",
       "\n",
       "vec2 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",
       "\n",
       "void 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",
       "`]);a.createShader=function(d){var v=s(d,u,c,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return v.attributes.uv.location=0,v.attributes.f.location=1,v.attributes.normal.location=2,v},a.createPickShader=function(d){var v=s(d,u,h,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return v.attributes.uv.location=0,v.attributes.f.location=1,v.attributes.normal.location=2,v},a.createContourShader=function(d){var v=s(d,f,c,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return v.attributes.uv.location=0,v.attributes.f.location=1,v},a.createPickContourShader=function(d){var v=s(d,f,h,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return v.attributes.uv.location=0,v.attributes.f.location=1,v}},1085:function(i,a,o){var s=o(1371);i.exports=l;function l(u,c,f){c=typeof c==\"number\"?c:1,f=f||\": \";var h=u.split(/\\r?\\n/),d=String(h.length+c-1).length;return h.map(function(v,_){var b=_+c,p=String(b).length,k=s(b,d-p);return k+f+v}).join(`\n",
       "`)}},1091:function(i){i.exports=a;function a(){var o=new Float32Array(3);return o[0]=0,o[1]=0,o[2]=0,o}},1125:function(i,a,o){\"use strict\";i.exports=u;var s=o(3250)[3];function l(c,f,h,d){for(var v=0;v<2;++v){var _=c[v],b=f[v],p=Math.min(_,b),k=Math.max(_,b),E=h[v],S=d[v],L=Math.min(E,S),x=Math.max(E,S);if(x<p||k<L)return!1}return!0}function u(c,f,h,d){var v=s(c,h,d),_=s(f,h,d);if(v>0&&_>0||v<0&&_<0)return!1;var b=s(h,c,f),p=s(d,c,f);return b>0&&p>0||b<0&&p<0?!1:v===0&&_===0&&b===0&&p===0?l(c,f,h,d):!0}},1278:function(i,a,o){\"use strict\";var s=o(2361),l=Math.pow(2,-1074),u=-1>>>0;i.exports=c;function c(f,h){if(isNaN(f)||isNaN(h))return NaN;if(f===h)return f;if(f===0)return h<0?-l:l;var d=s.hi(f),v=s.lo(f);return h>f==f>0?v===u?(d+=1,v=0):v+=1:v===0?(v=u,d-=1):v-=1,s.pack(v,d)}},1283:function(i,a,o){var s=o(9405),l=o(3236),u=l([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "bool outOfRange(float a, float b, float p) {\n",
       "  return ((p > max(a, b)) || \n",
       "          (p < min(a, b)));\n",
       "}\n",
       "\n",
       "bool 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",
       "\n",
       "bool 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",
       "\n",
       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
       "}\n",
       "\n",
       "attribute vec3 position;\n",
       "attribute vec4 color;\n",
       "attribute vec2 glyph;\n",
       "attribute vec4 id;\n",
       "\n",
       "uniform vec4 highlightId;\n",
       "uniform float highlightScale;\n",
       "uniform mat4 model, view, projection;\n",
       "uniform vec3 clipBounds[2];\n",
       "\n",
       "varying vec4 interpColor;\n",
       "varying vec4 pickId;\n",
       "varying vec3 dataCoordinate;\n",
       "\n",
       "void 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",
       "}`]),c=l([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "bool outOfRange(float a, float b, float p) {\n",
       "  return ((p > max(a, b)) || \n",
       "          (p < min(a, b)));\n",
       "}\n",
       "\n",
       "bool 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",
       "\n",
       "bool 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",
       "\n",
       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
       "}\n",
       "\n",
       "attribute vec3 position;\n",
       "attribute vec4 color;\n",
       "attribute vec2 glyph;\n",
       "attribute vec4 id;\n",
       "\n",
       "uniform mat4 model, view, projection;\n",
       "uniform vec2 screenSize;\n",
       "uniform vec3 clipBounds[2];\n",
       "uniform float highlightScale, pixelRatio;\n",
       "uniform vec4 highlightId;\n",
       "\n",
       "varying vec4 interpColor;\n",
       "varying vec4 pickId;\n",
       "varying vec3 dataCoordinate;\n",
       "\n",
       "void 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",
       "}`]),f=l([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "bool outOfRange(float a, float b, float p) {\n",
       "  return ((p > max(a, b)) || \n",
       "          (p < min(a, b)));\n",
       "}\n",
       "\n",
       "bool 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",
       "\n",
       "bool 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",
       "\n",
       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
       "}\n",
       "\n",
       "attribute vec3 position;\n",
       "attribute vec4 color;\n",
       "attribute vec2 glyph;\n",
       "attribute vec4 id;\n",
       "\n",
       "uniform float highlightScale;\n",
       "uniform vec4 highlightId;\n",
       "uniform vec3 axes[2];\n",
       "uniform mat4 model, view, projection;\n",
       "uniform vec2 screenSize;\n",
       "uniform vec3 clipBounds[2];\n",
       "uniform float scale, pixelRatio;\n",
       "\n",
       "varying vec4 interpColor;\n",
       "varying vec4 pickId;\n",
       "varying vec3 dataCoordinate;\n",
       "\n",
       "void 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",
       "`]),h=l([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "bool outOfRange(float a, float b, float p) {\n",
       "  return ((p > max(a, b)) || \n",
       "          (p < min(a, b)));\n",
       "}\n",
       "\n",
       "bool 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",
       "\n",
       "bool 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",
       "\n",
       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
       "}\n",
       "\n",
       "uniform vec3 fragClipBounds[2];\n",
       "uniform float opacity;\n",
       "\n",
       "varying vec4 interpColor;\n",
       "varying vec3 dataCoordinate;\n",
       "\n",
       "void main() {\n",
       "  if (\n",
       "    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\n",
       "    interpColor.a * opacity == 0.\n",
       "  ) discard;\n",
       "  gl_FragColor = interpColor * opacity;\n",
       "}\n",
       "`]),d=l([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "bool outOfRange(float a, float b, float p) {\n",
       "  return ((p > max(a, b)) || \n",
       "          (p < min(a, b)));\n",
       "}\n",
       "\n",
       "bool 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",
       "\n",
       "bool 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",
       "\n",
       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
       "}\n",
       "\n",
       "uniform vec3 fragClipBounds[2];\n",
       "uniform float pickGroup;\n",
       "\n",
       "varying vec4 pickId;\n",
       "varying vec3 dataCoordinate;\n",
       "\n",
       "void main() {\n",
       "  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\n",
       "\n",
       "  gl_FragColor = vec4(pickGroup, pickId.bgr);\n",
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       "#define GLSLIFY 1\n",
       "\n",
       "attribute vec3 position, color;\n",
       "attribute float weight;\n",
       "\n",
       "uniform mat4 model, view, projection;\n",
       "uniform vec3 coordinates[3];\n",
       "uniform vec4 colors[3];\n",
       "uniform vec2 screenShape;\n",
       "uniform float lineWidth;\n",
       "\n",
       "varying vec4 fragColor;\n",
       "\n",
       "void main() {\n",
       "  vec3 vertexPosition = mix(coordinates[0],\n",
       "    mix(coordinates[2], coordinates[1], 0.5 * (position + 1.0)), abs(position));\n",
       "\n",
       "  vec4 clipPos = projection * (view * (model * vec4(vertexPosition, 1.0)));\n",
       "  vec2 clipOffset = (projection * (view * (model * vec4(color, 0.0)))).xy;\n",
       "  vec2 delta = weight * clipOffset * screenShape;\n",
       "  vec2 lineOffset = normalize(vec2(delta.y, -delta.x)) / screenShape;\n",
       "\n",
       "  gl_Position   = vec4(clipPos.xy + clipPos.w * 0.5 * lineWidth * lineOffset, clipPos.z, clipPos.w);\n",
       "  fragColor     = color.x * colors[0] + color.y * colors[1] + color.z * colors[2];\n",
       "}\n",
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       "#define GLSLIFY 1\n",
       "\n",
       "varying vec4 fragColor;\n",
       "\n",
       "void main() {\n",
       "  gl_FragColor = fragColor;\n",
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10:_.push([l(h,f,p[1],p[0]),l(h,f,p[3],p[0]),l(h,f,p[1],p[2])],[l(h,f,p[3],p[0]),l(h,f,p[3],p[2]),l(h,f,p[1],p[2])]);break;case 11:_.push([l(h,f,p[1],p[2]),l(h,f,p[0],p[2]),l(h,f,p[3],p[2])]);break;case 12:_.push([l(h,f,p[3],p[0]),l(h,f,p[2],p[0]),l(h,f,p[2],p[1])],[l(h,f,p[3],p[1]),l(h,f,p[3],p[0]),l(h,f,p[2],p[1])]);break;case 13:_.push([l(h,f,p[0],p[1]),l(h,f,p[2],p[1]),l(h,f,p[3],p[1])]);break;case 14:_.push([l(h,f,p[2],p[0]),l(h,f,p[1],p[0]),l(h,f,p[3],p[0])]);break;case 15:break}}else if(k===3){var E=(d[p[0]]<<0)+(d[p[1]]<<1)+(d[p[2]]<<2);if(E===0||E===7)continue;switch(E){case 0:break;case 1:_.push([l(h,f,p[0],p[2]),l(h,f,p[0],p[1])]);break;case 2:_.push([l(h,f,p[1],p[0]),l(h,f,p[1],p[2])]);break;case 3:_.push([l(h,f,p[0],p[2]),l(h,f,p[1],p[2])]);break;case 4:_.push([l(h,f,p[2],p[1]),l(h,f,p[2],p[0])]);break;case 5:_.push([l(h,f,p[2],p[1]),l(h,f,p[0],p[1])]);break;case 6:_.push([l(h,f,p[1],p[0]),l(h,f,p[2],p[0])]);break;case 7:break}}else if(k===2){var E=(d[p[0]]<<0)+(d[p[1]]<<1);if(E===0||E===3)continue;switch(E){case 0:break;case 1:_.push([l(h,f,p[0],p[1])]);break;case 2:_.push([l(h,f,p[1],p[0])]);break;case 3:break}}}return _}return u}];function o(s){return a[s]()}},1682:function(i){\"use strict\";function a(l,u){for(var c=1,f=l.length,h=l[0],d=l[0],v=1;v<f;++v)if(d=h,h=l[v],u(h,d)){if(v===c){c++;continue}l[c++]=h}return l.length=c,l}function o(l){for(var u=1,c=l.length,f=l[0],h=l[0],d=1;d<c;++d,h=f)if(h=f,f=l[d],f!==h){if(d===u){u++;continue}l[u++]=f}return l.length=u,l}function s(l,u,c){return l.length===0?l:u?(c||l.sort(u),a(l,u)):(c||l.sort(),o(l))}i.exports=s},1755:function(i){\"use strict\";\"use restrict\";i.exports=a;function a(s){this.roots=new Array(s),this.ranks=new Array(s);for(var l=0;l<s;++l)this.roots[l]=l,this.ranks[l]=0}var o=a.prototype;Object.defineProperty(o,\"length\",{get:function(){return this.roots.length}}),o.makeSet=function(){var s=this.roots.length;return this.roots.push(s),this.ranks.push(0),s},o.find=function(s){for(var l=s,u=this.roots;u[s]!==s;)s=u[s];for(;u[l]!==s;){var c=u[l];u[l]=s,l=c}return s},o.link=function(s,l){var u=this.find(s),c=this.find(l);if(u!==c){var f=this.ranks,h=this.roots,d=f[u],v=f[c];d<v?h[u]=c:v<d?h[c]=u:(h[c]=u,++f[u])}}},1811:function(i,a,o){\"use strict\";var s=o(2478),l=o(7442),u=o(7608),c=o(5567),f=o(2408),h=o(7089),d=o(6582),v=o(7656),_=o(2504),b=o(3536),p=[0,0,0];i.exports=L;function k(x){this._components=x.slice(),this._time=[0],this.prevMatrix=x.slice(),this.nextMatrix=x.slice(),this.computedMatrix=x.slice(),this.computedInverse=x.slice(),this.computedEye=[0,0,0],this.computedUp=[0,0,0],this.computedCenter=[0,0,0],this.computedRadius=[0],this._limits=[-1/0,1/0]}var E=k.prototype;E.recalcMatrix=function(x){var C=this._time,M=s.le(C,x),g=this.computedMatrix;if(!(M<0)){var P=this._components;if(M===C.length-1)for(var T=16*M,z=0;z<16;++z)g[z]=P[T++];else{for(var O=C[M+1]-C[M],T=16*M,V=this.prevMatrix,G=!0,z=0;z<16;++z)V[z]=P[T++];for(var Z=this.nextMatrix,z=0;z<16;++z)Z[z]=P[T++],G=G&&V[z]===Z[z];if(O<1e-6||G)for(var z=0;z<16;++z)g[z]=V[z];else l(g,V,Z,(x-C[M])/O)}var j=this.computedUp;j[0]=g[1],j[1]=g[5],j[2]=g[9],b(j,j);var N=this.computedInverse;u(N,g);var H=this.computedEye,te=N[15];H[0]=N[12]/te,H[1]=N[13]/te,H[2]=N[14]/te;for(var oe=this.computedCenter,_e=Math.exp(this.computedRadius[0]),z=0;z<3;++z)oe[z]=H[z]-g[2+4*z]*_e}},E.idle=function(x){if(!(x<this.lastT())){for(var C=this._components,M=C.length-16,g=0;g<16;++g)C.push(C[M++]);this._time.push(x)}},E.flush=function(x){var C=s.gt(this._time,x)-2;C<0||(this._time.splice(0,C),this._components.splice(0,16*C))},E.lastT=function(){return this._time[this._time.length-1]},E.lookAt=function(x,C,M,g){this.recalcMatrix(x),C=C||this.computedEye,M=M||p,g=g||this.computedUp,this.setMatrix(x,d(this.computedMatrix,C,M,g));for(var P=0,T=0;T<3;++T)P+=Math.pow(M[T]-C[T],2);P=Math.log(Math.sqrt(P)),this.computedRadius[0]=P},E.rotate=function(x,C,M,g){this.recalcMatrix(x);var P=this.computedInverse;C&&f(P,P,C),M&&c(P,P,M),g&&h(P,P,g),this.setMatrix(x,u(this.computedMatrix,P))};var S=[0,0,0];E.pan=function(x,C,M,g){S[0]=-(C||0),S[1]=-(M||0),S[2]=-(g||0),this.recalcMatrix(x);var P=this.computedInverse;v(P,P,S),this.setMatrix(x,u(P,P))},E.translate=function(x,C,M,g){S[0]=C||0,S[1]=M||0,S[2]=g||0,this.recalcMatrix(x);var P=this.computedMatrix;v(P,P,S),this.setMatrix(x,P)},E.setMatrix=function(x,C){if(!(x<this.lastT())){this._time.push(x);for(var M=0;M<16;++M)this._components.push(C[M])}},E.setDistance=function(x,C){this.computedRadius[0]=C},E.setDistanceLimits=function(x,C){var M=this._limits;M[0]=x,M[1]=C},E.getDistanceLimits=function(x){var C=this._limits;return x?(x[0]=C[0],x[1]=C[1],x):C};function L(x){x=x||{};var C=x.matrix||[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];return new k(C)}},1848:function(i,a,o){var s=o(4905),l=o(6468);i.exports=u;function u(c){for(var f=Array.isArray(c)?c:s(c),h=0;h<f.length;h++){var d=f[h];if(d.type===\"preprocessor\"){var v=d.data.match(/\\#define\\s+SHADER_NAME(_B64)?\\s+(.+)$/);if(v&&v[2]){var _=v[1],b=v[2];return(_?l(b):b).trim()}}}}},1879:function(i,a,o){\"use strict\";var s=o(3236),l=o(9405),u=s([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "attribute vec3 position;\n",
       "\n",
       "uniform mat4 model, view, projection;\n",
       "uniform vec3 offset, majorAxis, minorAxis, screenAxis;\n",
       "uniform float lineWidth;\n",
       "uniform vec2 screenShape;\n",
       "\n",
       "vec3 project(vec3 p) {\n",
       "  vec4 pp = projection * (view * (model * vec4(p, 1.0)));\n",
       "  return pp.xyz / max(pp.w, 0.0001);\n",
       "}\n",
       "\n",
       "void 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",
       "`]),c=s([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "uniform vec4 color;\n",
       "void main() {\n",
       "  gl_FragColor = color;\n",
       "}`]);a.n=function(_){return l(_,u,c,null,[{name:\"position\",type:\"vec3\"}])};var f=s([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "attribute vec3 position;\n",
       "\n",
       "uniform mat4 model, view, projection;\n",
       "uniform vec3 offset, axis, alignDir, alignOpt;\n",
       "uniform float scale, angle, pixelScale;\n",
       "uniform vec2 resolution;\n",
       "\n",
       "vec3 project(vec3 p) {\n",
       "  vec4 pp = projection * (view * (model * vec4(p, 1.0)));\n",
       "  return pp.xyz / max(pp.w, 0.0001);\n",
       "}\n",
       "\n",
       "float 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",
       "\n",
       "const float PI = 3.141592;\n",
       "const float TWO_PI = 2.0 * PI;\n",
       "const float HALF_PI = 0.5 * PI;\n",
       "const float ONE_AND_HALF_PI = 1.5 * PI;\n",
       "\n",
       "int option = int(floor(alignOpt.x + 0.001));\n",
       "float hv_ratio =       alignOpt.y;\n",
       "bool enableAlign =    (alignOpt.z != 0.0);\n",
       "\n",
       "float mod_angle(float a) {\n",
       "  return mod(a, PI);\n",
       "}\n",
       "\n",
       "float positive_angle(float a) {\n",
       "  return mod_angle((a < 0.0) ?\n",
       "    a + TWO_PI :\n",
       "    a\n",
       "  );\n",
       "}\n",
       "\n",
       "float 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",
       "\n",
       "float 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",
       "\n",
       "float roundTo(float a, float b) {\n",
       "  return float(b * floor((a + 0.5 * b) / b));\n",
       "}\n",
       "\n",
       "float 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",
       "\n",
       "float 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",
       "\n",
       "bool isAxisTitle = (axis.x == 0.0) &&\n",
       "                   (axis.y == 0.0) &&\n",
       "                   (axis.z == 0.0);\n",
       "\n",
       "void main() {\n",
       "  //Compute world offset\n",
       "  float axisDistance = position.z;\n",
       "  vec3 dataPosition = axisDistance * axis + offset;\n",
       "\n",
       "  float beta = angle; // i.e. user defined attributes for each tick\n",
       "\n",
       "  float axisAngle;\n",
       "  float clipAngle;\n",
       "  float flip;\n",
       "\n",
       "  if (enableAlign) {\n",
       "    axisAngle = (isAxisTitle) ? HALF_PI :\n",
       "                      computeViewAngle(dataPosition, dataPosition + axis);\n",
       "    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\n",
       "\n",
       "    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\n",
       "    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\n",
       "\n",
       "    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\n",
       "                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\n",
       "\n",
       "    beta += applyAlignOption(clipAngle, flip * PI);\n",
       "  }\n",
       "\n",
       "  //Compute plane offset\n",
       "  vec2 planeCoord = position.xy * pixelScale;\n",
       "\n",
       "  mat2 planeXform = scale * mat2(\n",
       "     cos(beta), sin(beta),\n",
       "    -sin(beta), cos(beta)\n",
       "  );\n",
       "\n",
       "  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\n",
       "\n",
       "  //Compute clip position\n",
       "  vec3 clipPosition = project(dataPosition);\n",
       "\n",
       "  //Apply text offset in clip coordinates\n",
       "  clipPosition += vec3(viewOffset, 0.0);\n",
       "\n",
       "  //Done\n",
       "  gl_Position = vec4(clipPosition, 1.0);\n",
       "}\n",
       "`]),h=s([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "uniform vec4 color;\n",
       "void main() {\n",
       "  gl_FragColor = color;\n",
       "}`]);a.Q=function(_){return l(_,f,h,null,[{name:\"position\",type:\"vec3\"}])};var d=s([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "attribute vec3 position;\n",
       "attribute vec3 normal;\n",
       "\n",
       "uniform mat4 model, view, projection;\n",
       "uniform vec3 enable;\n",
       "uniform vec3 bounds[2];\n",
       "\n",
       "varying vec3 colorChannel;\n",
       "\n",
       "void main() {\n",
       "\n",
       "  vec3 signAxis = sign(bounds[1] - bounds[0]);\n",
       "\n",
       "  vec3 realNormal = signAxis * normal;\n",
       "\n",
       "  if(dot(realNormal, enable) > 0.0) {\n",
       "    vec3 minRange = min(bounds[0], bounds[1]);\n",
       "    vec3 maxRange = max(bounds[0], bounds[1]);\n",
       "    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\n",
       "    gl_Position = projection * (view * (model * vec4(nPosition, 1.0)));\n",
       "  } else {\n",
       "    gl_Position = vec4(0,0,0,0);\n",
       "  }\n",
       "\n",
       "  colorChannel = abs(realNormal);\n",
       "}\n",
       "`]),v=s([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "uniform vec4 colors[3];\n",
       "\n",
       "varying vec3 colorChannel;\n",
       "\n",
       "void main() {\n",
       "  gl_FragColor = colorChannel.x * colors[0] +\n",
       "                 colorChannel.y * colors[1] +\n",
       "                 colorChannel.z * colors[2];\n",
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       "uniform mat4 model, view, projection;\n",
       "uniform float capSize;\n",
       "varying vec4 fragColor;\n",
       "varying vec3 fragPosition;\n",
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       "void main() {\n",
       "  vec4 worldPosition  = model * vec4(position, 1.0);\n",
       "  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\n",
       "  gl_Position         = projection * (view * worldPosition);\n",
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       "uniform float opacity;\n",
       "varying vec3 fragPosition;\n",
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       "  if (\n",
       "    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\n",
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       "  gl_FragColor = opacity * fragColor;\n",
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o[0]*s[0]+o[1]*s[1]+o[2]*s[2]+o[3]*s[3]}},3778:function(i,a){a.read=function(o,s,l,u,c){var f,h,d=c*8-u-1,v=(1<<d)-1,_=v>>1,b=-7,p=l?c-1:0,k=l?-1:1,E=o[s+p];for(p+=k,f=E&(1<<-b)-1,E>>=-b,b+=d;b>0;f=f*256+o[s+p],p+=k,b-=8);for(h=f&(1<<-b)-1,f>>=-b,b+=u;b>0;h=h*256+o[s+p],p+=k,b-=8);if(f===0)f=1-_;else{if(f===v)return h?NaN:(E?-1:1)*(1/0);h=h+Math.pow(2,u),f=f-_}return(E?-1:1)*h*Math.pow(2,f-u)},a.write=function(o,s,l,u,c,f){var h,d,v,_=f*8-c-1,b=(1<<_)-1,p=b>>1,k=c===23?Math.pow(2,-24)-Math.pow(2,-77):0,E=u?0:f-1,S=u?1:-1,L=s<0||s===0&&1/s<0?1:0;for(s=Math.abs(s),isNaN(s)||s===1/0?(d=isNaN(s)?1:0,h=b):(h=Math.floor(Math.log(s)/Math.LN2),s*(v=Math.pow(2,-h))<1&&(h--,v*=2),h+p>=1?s+=k/v:s+=k*Math.pow(2,1-p),s*v>=2&&(h++,v/=2),h+p>=b?(d=0,h=b):h+p>=1?(d=(s*v-1)*Math.pow(2,c),h=h+p):(d=s*Math.pow(2,p-1)*Math.pow(2,c),h=0));c>=8;o[l+E]=d&255,E+=S,d/=256,c-=8);for(h=h<<c|d,_+=c;_>0;o[l+E]=h&255,E+=S,h/=256,_-=8);o[l+E-S]|=L*128}},3788:function(i,a,o){\"use strict\";var s=o(8507),l=o(2419);i.exports=u;function u(c,f){return s(c,f)||l(c)-l(f)}},3837:function(i,a,o){\"use strict\";i.exports=O;var s=o(4935),l=o(501),u=o(5304),c=o(6429),f=o(6444),h=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),d=ArrayBuffer,v=DataView;function _(V){return d.isView(V)&&!(V instanceof v)}function b(V){return Array.isArray(V)||_(V)}function p(V,G){return V[0]=G[0],V[1]=G[1],V[2]=G[2],V}function k(V){this.gl=V,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=u(V)}var E=k.prototype;E.update=function(V){V=V||{};function G(Ae,Fe,Pe){if(Pe in V){var ge=V[Pe],Re=this[Pe],ce;(Ae?b(ge)&&b(ge[0]):b(ge))?this[Pe]=ce=[Fe(ge[0]),Fe(ge[1]),Fe(ge[2])]:this[Pe]=ce=[Fe(ge),Fe(ge),Fe(ge)];for(var Ze=0;Ze<3;++Ze)if(ce[Ze]!==Re[Ze])return!0}return!1}var Z=G.bind(this,!1,Number),j=G.bind(this,!1,Boolean),N=G.bind(this,!1,String),H=G.bind(this,!0,function(Ae){if(b(Ae)){if(Ae.length===3)return[+Ae[0],+Ae[1],+Ae[2],1];if(Ae.length===4)return[+Ae[0],+Ae[1],+Ae[2],+Ae[3]]}return[0,0,0,1]}),te,oe=!1,_e=!1;if(\"bounds\"in V)for(var Ee=V.bounds,Ce=0;Ce<2;++Ce)for(var me=0;me<3;++me)Ee[Ce][me]!==this.bounds[Ce][me]&&(_e=!0),this.bounds[Ce][me]=Ee[Ce][me];if(\"ticks\"in V){te=V.ticks,oe=!0,this.autoTicks=!1;for(var Ce=0;Ce<3;++Ce)this.tickSpacing[Ce]=0}else Z(\"tickSpacing\")&&(this.autoTicks=!0,_e=!0);if(this._firstInit&&(\"ticks\"in V||\"tickSpacing\"in V||(this.autoTicks=!0),_e=!0,oe=!0,this._firstInit=!1),_e&&this.autoTicks&&(te=f.create(this.bounds,this.tickSpacing),oe=!0),oe){for(var Ce=0;Ce<3;++Ce)te[Ce].sort(function(Fe,Pe){return Fe.x-Pe.x});f.equal(te,this.ticks)?oe=!1:this.ticks=te}j(\"tickEnable\"),N(\"tickFont\")&&(oe=!0),N(\"tickFontStyle\")&&(oe=!0),N(\"tickFontWeight\")&&(oe=!0),N(\"tickFontVariant\")&&(oe=!0),Z(\"tickSize\"),Z(\"tickAngle\"),Z(\"tickPad\"),H(\"tickColor\");var ie=N(\"labels\");N(\"labelFont\")&&(ie=!0),N(\"labelFontStyle\")&&(ie=!0),N(\"labelFontWeight\")&&(ie=!0),N(\"labelFontVariant\")&&(ie=!0),j(\"labelEnable\"),Z(\"labelSize\"),Z(\"labelPad\"),H(\"labelColor\"),j(\"lineEnable\"),j(\"lineMirror\"),Z(\"lineWidth\"),H(\"lineColor\"),j(\"lineTickEnable\"),j(\"lineTickMirror\"),Z(\"lineTickLength\"),Z(\"lineTickWidth\"),H(\"lineTickColor\"),j(\"gridEnable\"),Z(\"gridWidth\"),H(\"gridColor\"),j(\"zeroEnable\"),H(\"zeroLineColor\"),Z(\"zeroLineWidth\"),j(\"backgroundEnable\"),H(\"backgroundColor\");var Se=[{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]}],Le=[{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&&(ie||oe)&&this._text.update(this.bounds,this.labels,Se,this.ticks,Le):this._text=s(this.gl,this.bounds,this.labels,Se,this.ticks,Le),this._lines&&oe&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=l(this.gl,this.bounds,this.ticks))};function S(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}var L=[new S,new S,new S];function x(V,G,Z,j,N){for(var H=V.primalOffset,te=V.primalMinor,oe=V.mirrorOffset,_e=V.mirrorMinor,Ee=j[G],Ce=0;Ce<3;++Ce)if(G!==Ce){var me=H,ie=oe,Se=te,Le=_e;Ee&1<<Ce&&(me=oe,ie=H,Se=_e,Le=te),me[Ce]=Z[0][Ce],ie[Ce]=Z[1][Ce],N[Ce]>0?(Se[Ce]=-1,Le[Ce]=0):(Se[Ce]=0,Le[Ce]=1)}}var C=[0,0,0],M={model:h,view:h,projection:h,_ortho:!1};E.isOpaque=function(){return!0},E.isTransparent=function(){return!1},E.drawTransparent=function(V){};var g=0,P=[0,0,0],T=[0,0,0],z=[0,0,0];E.draw=function(V){V=V||M;for(var Pe=this.gl,G=V.model||h,Z=V.view||h,j=V.projection||h,N=this.bounds,H=V._ortho||!1,te=c(G,Z,j,N,H),oe=te.cubeEdges,_e=te.axis,Ee=Z[12],Ce=Z[13],me=Z[14],ie=Z[15],Se=H?2:1,Le=Se*this.pixelRatio*(j[3]*Ee+j[7]*Ce+j[11]*me+j[15]*ie)/Pe.drawingBufferHeight,Ae=0;Ae<3;++Ae)this.lastCubeProps.cubeEdges[Ae]=oe[Ae],this.lastCubeProps.axis[Ae]=_e[Ae];for(var Fe=L,Ae=0;Ae<3;++Ae)x(L[Ae],Ae,this.bounds,oe,_e);for(var Pe=this.gl,ge=C,Ae=0;Ae<3;++Ae)this.backgroundEnable[Ae]?ge[Ae]=_e[Ae]:ge[Ae]=0;this._background.draw(G,Z,j,N,ge,this.backgroundColor),this._lines.bind(G,Z,j,this);for(var Ae=0;Ae<3;++Ae){var Re=[0,0,0];_e[Ae]>0?Re[Ae]=N[1][Ae]:Re[Ae]=N[0][Ae];for(var ce=0;ce<2;++ce){var Ze=(Ae+1+ce)%3,ut=(Ae+1+(ce^1))%3;this.gridEnable[Ze]&&this._lines.drawGrid(Ze,ut,this.bounds,Re,this.gridColor[Ze],this.gridWidth[Ze]*this.pixelRatio)}for(var ce=0;ce<2;++ce){var Ze=(Ae+1+ce)%3,ut=(Ae+1+(ce^1))%3;this.zeroEnable[ut]&&Math.min(N[0][ut],N[1][ut])<=0&&Math.max(N[0][ut],N[1][ut])>=0&&this._lines.drawZero(Ze,ut,this.bounds,Re,this.zeroLineColor[ut],this.zeroLineWidth[ut]*this.pixelRatio)}}for(var Ae=0;Ae<3;++Ae){this.lineEnable[Ae]&&this._lines.drawAxisLine(Ae,this.bounds,Fe[Ae].primalOffset,this.lineColor[Ae],this.lineWidth[Ae]*this.pixelRatio),this.lineMirror[Ae]&&this._lines.drawAxisLine(Ae,this.bounds,Fe[Ae].mirrorOffset,this.lineColor[Ae],this.lineWidth[Ae]*this.pixelRatio);for(var pt=p(P,Fe[Ae].primalMinor),Zt=p(T,Fe[Ae].mirrorMinor),st=this.lineTickLength,ce=0;ce<3;++ce){var lt=Le/G[5*ce];pt[ce]*=st[ce]*lt,Zt[ce]*=st[ce]*lt}this.lineTickEnable[Ae]&&this._lines.drawAxisTicks(Ae,Fe[Ae].primalOffset,pt,this.lineTickColor[Ae],this.lineTickWidth[Ae]*this.pixelRatio),this.lineTickMirror[Ae]&&this._lines.drawAxisTicks(Ae,Fe[Ae].mirrorOffset,Zt,this.lineTickColor[Ae],this.lineTickWidth[Ae]*this.pixelRatio)}this._lines.unbind(),this._text.bind(G,Z,j,this.pixelRatio);var Gt,Nt=.5,Jt,sr;function wr(_t){sr=[0,0,0],sr[_t]=1}function cr(_t,It,mt){var er=(_t+1)%3,lr=(_t+2)%3,Tr=It[er],Lr=It[lr],ti=mt[er],Br=mt[lr];if(Tr>0&&Br>0){wr(er);return}else if(Tr>0&&Br<0){wr(er);return}else if(Tr<0&&Br>0){wr(er);return}else if(Tr<0&&Br<0){wr(er);return}else if(Lr>0&&ti>0){wr(lr);return}else if(Lr>0&&ti<0){wr(lr);return}else if(Lr<0&&ti>0){wr(lr);return}else if(Lr<0&&ti<0){wr(lr);return}}for(var Ae=0;Ae<3;++Ae){for(var $e=Fe[Ae].primalMinor,St=Fe[Ae].mirrorMinor,Qt=p(z,Fe[Ae].primalOffset),ce=0;ce<3;++ce)this.lineTickEnable[Ae]&&(Qt[ce]+=Le*$e[ce]*Math.max(this.lineTickLength[ce],0)/G[5*ce]);var Vt=[0,0,0];if(Vt[Ae]=1,this.tickEnable[Ae]){this.tickAngle[Ae]===-3600?(this.tickAngle[Ae]=0,this.tickAlign[Ae]=\"auto\"):this.tickAlign[Ae]=-1,Jt=1,Gt=[this.tickAlign[Ae],Nt,Jt],Gt[0]===\"auto\"?Gt[0]=g:Gt[0]=parseInt(\"\"+Gt[0]),sr=[0,0,0],cr(Ae,$e,St);for(var ce=0;ce<3;++ce)Qt[ce]+=Le*$e[ce]*this.tickPad[ce]/G[5*ce];this._text.drawTicks(Ae,this.tickSize[Ae],this.tickAngle[Ae],Qt,this.tickColor[Ae],Vt,sr,Gt)}if(this.labelEnable[Ae]){Jt=0,sr=[0,0,0],this.labels[Ae].length>4&&(wr(Ae),Jt=1),Gt=[this.labelAlign[Ae],Nt,Jt],Gt[0]===\"auto\"?Gt[0]=g:Gt[0]=parseInt(\"\"+Gt[0]);for(var ce=0;ce<3;++ce)Qt[ce]+=Le*$e[ce]*this.labelPad[ce]/G[5*ce];Qt[Ae]+=.5*(N[0][Ae]+N[1][Ae]),this._text.drawLabel(Ae,this.labelSize[Ae],this.labelAngle[Ae],Qt,this.labelColor[Ae],[0,0,0],sr,Gt)}}this._text.unbind()},E.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null};function O(V,G){var Z=new k(V);return Z.update(G),Z}},3840:function(i){\"use strict\";i.exports=L;var a=0,o=1;function s(x,C,M,g,P,T){this._color=x,this.key=C,this.value=M,this.left=g,this.right=P,this._count=T}function l(x){return new s(x._color,x.key,x.value,x.left,x.right,x._count)}function u(x,C){return new s(x,C.key,C.value,C.left,C.right,C._count)}function c(x){x._count=1+(x.left?x.left._count:0)+(x.right?x.right._count:0)}function f(x,C){this._compare=x,this.root=C}var h=f.prototype;Object.defineProperty(h,\"keys\",{get:function(){var x=[];return 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ir=ke+this[++xe]*Math.pow(2,8)+this[++xe]*Math.pow(2,16)+this[++xe]*Math.pow(2,24),ar=this[++xe]+this[++xe]*Math.pow(2,8)+this[++xe]*Math.pow(2,16)+vt*Math.pow(2,24);return BigInt(ir)+(BigInt(ar)<<BigInt(32))}),T.prototype.readBigUInt64BE=tt(function(xe){xe=xe>>>0,mt(xe,\"offset\");var ke=this[xe],vt=this[xe+7];(ke===void 0||vt===void 0)&&er(xe,this.length-8);var ir=ke*Math.pow(2,24)+this[++xe]*Math.pow(2,16)+this[++xe]*Math.pow(2,8)+this[++xe],ar=this[++xe]*Math.pow(2,24)+this[++xe]*Math.pow(2,16)+this[++xe]*Math.pow(2,8)+vt;return(BigInt(ir)<<BigInt(32))+BigInt(ar)}),T.prototype.readIntLE=function(xe,ke,vt){xe=xe>>>0,ke=ke>>>0,vt||Gt(xe,ke,this.length);for(var ir=this[xe],ar=1,vr=0;++vr<ke&&(ar*=256);)ir+=this[xe+vr]*ar;return ar*=128,ir>=ar&&(ir-=Math.pow(2,8*ke)),ir},T.prototype.readIntBE=function(xe,ke,vt){xe=xe>>>0,ke=ke>>>0,vt||Gt(xe,ke,this.length);for(var ir=ke,ar=1,vr=this[xe+--ir];ir>0&&(ar*=256);)vr+=this[xe+--ir]*ar;return ar*=128,vr>=ar&&(vr-=Math.pow(2,8*ke)),vr},T.prototype.readInt8=function(xe,ke){return xe=xe>>>0,ke||Gt(xe,1,this.length),this[xe]&128?(255-this[xe]+1)*-1:this[xe]},T.prototype.readInt16LE=function(xe,ke){xe=xe>>>0,ke||Gt(xe,2,this.length);var vt=this[xe]|this[xe+1]<<8;return vt&32768?vt|4294901760:vt},T.prototype.readInt16BE=function(xe,ke){xe=xe>>>0,ke||Gt(xe,2,this.length);var vt=this[xe+1]|this[xe]<<8;return vt&32768?vt|4294901760:vt},T.prototype.readInt32LE=function(xe,ke){return xe=xe>>>0,ke||Gt(xe,4,this.length),this[xe]|this[xe+1]<<8|this[xe+2]<<16|this[xe+3]<<24},T.prototype.readInt32BE=function(xe,ke){return xe=xe>>>0,ke||Gt(xe,4,this.length),this[xe]<<24|this[xe+1]<<16|this[xe+2]<<8|this[xe+3]},T.prototype.readBigInt64LE=tt(function(xe){xe=xe>>>0,mt(xe,\"offset\");var ke=this[xe],vt=this[xe+7];(ke===void 0||vt===void 0)&&er(xe,this.length-8);var ir=this[xe+4]+this[xe+5]*Math.pow(2,8)+this[xe+6]*Math.pow(2,16)+(vt<<24);return(BigInt(ir)<<BigInt(32))+BigInt(ke+this[++xe]*Math.pow(2,8)+this[++xe]*Math.pow(2,16)+this[++xe]*Math.pow(2,24))}),T.prototype.readBigInt64BE=tt(function(xe){xe=xe>>>0,mt(xe,\"offset\");var ke=this[xe],vt=this[xe+7];(ke===void 0||vt===void 0)&&er(xe,this.length-8);var ir=(ke<<24)+this[++xe]*Math.pow(2,16)+this[++xe]*Math.pow(2,8)+this[++xe];return(BigInt(ir)<<BigInt(32))+BigInt(this[++xe]*Math.pow(2,24)+this[++xe]*Math.pow(2,16)+this[++xe]*Math.pow(2,8)+vt)}),T.prototype.readFloatLE=function(xe,ke){return xe=xe>>>0,ke||Gt(xe,4,this.length),x.read(this,xe,!0,23,4)},T.prototype.readFloatBE=function(xe,ke){return xe=xe>>>0,ke||Gt(xe,4,this.length),x.read(this,xe,!1,23,4)},T.prototype.readDoubleLE=function(xe,ke){return xe=xe>>>0,ke||Gt(xe,8,this.length),x.read(this,xe,!0,52,8)},T.prototype.readDoubleBE=function(xe,ke){return xe=xe>>>0,ke||Gt(xe,8,this.length),x.read(this,xe,!1,52,8)};function Nt(Ie,xe,ke,vt,ir,ar){if(!T.isBuffer(Ie))throw new TypeError('\"buffer\" argument must be a Buffer instance');if(xe>ir||xe<ar)throw new RangeError('\"value\" argument is out of bounds');if(ke+vt>Ie.length)throw new RangeError(\"Index out of range\")}T.prototype.writeUintLE=T.prototype.writeUIntLE=function(xe,ke,vt,ir){if(xe=+xe,ke=ke>>>0,vt=vt>>>0,!ir){var ar=Math.pow(2,8*vt)-1;Nt(this,xe,ke,vt,ar,0)}var vr=1,ii=0;for(this[ke]=xe&255;++ii<vt&&(vr*=256);)this[ke+ii]=xe/vr&255;return ke+vt},T.prototype.writeUintBE=T.prototype.writeUIntBE=function(xe,ke,vt,ir){if(xe=+xe,ke=ke>>>0,vt=vt>>>0,!ir){var ar=Math.pow(2,8*vt)-1;Nt(this,xe,ke,vt,ar,0)}var vr=vt-1,ii=1;for(this[ke+vr]=xe&255;--vr>=0&&(ii*=256);)this[ke+vr]=xe/ii&255;return ke+vt},T.prototype.writeUint8=T.prototype.writeUInt8=function(xe,ke,vt){return xe=+xe,ke=ke>>>0,vt||Nt(this,xe,ke,1,255,0),this[ke]=xe&255,ke+1},T.prototype.writeUint16LE=T.prototype.writeUInt16LE=function(xe,ke,vt){return xe=+xe,ke=ke>>>0,vt||Nt(this,xe,ke,2,65535,0),this[ke]=xe&255,this[ke+1]=xe>>>8,ke+2},T.prototype.writeUint16BE=T.prototype.writeUInt16BE=function(xe,ke,vt){return xe=+xe,ke=ke>>>0,vt||Nt(this,xe,ke,2,65535,0),this[ke]=xe>>>8,this[ke+1]=xe&255,ke+2},T.prototype.writeUint32LE=T.prototype.writeUInt32LE=function(xe,ke,vt){return xe=+xe,ke=ke>>>0,vt||Nt(this,xe,ke,4,4294967295,0),this[ke+3]=xe>>>24,this[ke+2]=xe>>>16,this[ke+1]=xe>>>8,this[ke]=xe&255,ke+4},T.prototype.writeUint32BE=T.prototype.writeUInt32BE=function(xe,ke,vt){return xe=+xe,ke=ke>>>0,vt||Nt(this,xe,ke,4,4294967295,0),this[ke]=xe>>>24,this[ke+1]=xe>>>16,this[ke+2]=xe>>>8,this[ke+3]=xe&255,ke+4};function Jt(Ie,xe,ke,vt,ir){It(xe,vt,ir,Ie,ke,7);var ar=Number(xe&BigInt(4294967295));Ie[ke++]=ar,ar=ar>>8,Ie[ke++]=ar,ar=ar>>8,Ie[ke++]=ar,ar=ar>>8,Ie[ke++]=ar;var vr=Number(xe>>BigInt(32)&BigInt(4294967295));return Ie[ke++]=vr,vr=vr>>8,Ie[ke++]=vr,vr=vr>>8,Ie[ke++]=vr,vr=vr>>8,Ie[ke++]=vr,ke}function sr(Ie,xe,ke,vt,ir){It(xe,vt,ir,Ie,ke,7);var ar=Number(xe&BigInt(4294967295));Ie[ke+7]=ar,ar=ar>>8,Ie[ke+6]=ar,ar=ar>>8,Ie[ke+5]=ar,ar=ar>>8,Ie[ke+4]=ar;var vr=Number(xe>>BigInt(32)&BigInt(4294967295));return Ie[ke+3]=vr,vr=vr>>8,Ie[ke+2]=vr,vr=vr>>8,Ie[ke+1]=vr,vr=vr>>8,Ie[ke]=vr,ke+8}T.prototype.writeBigUInt64LE=tt(function(xe){var ke=arguments.length>1&&arguments[1]!==void 0?arguments[1]:0;return Jt(this,xe,ke,BigInt(0),BigInt(\"0xffffffffffffffff\"))}),T.prototype.writeBigUInt64BE=tt(function(xe){var ke=arguments.length>1&&arguments[1]!==void 0?arguments[1]:0;return sr(this,xe,ke,BigInt(0),BigInt(\"0xffffffffffffffff\"))}),T.prototype.writeIntLE=function(xe,ke,vt,ir){if(xe=+xe,ke=ke>>>0,!ir){var ar=Math.pow(2,8*vt-1);Nt(this,xe,ke,vt,ar-1,-ar)}var vr=0,ii=1,pi=0;for(this[ke]=xe&255;++vr<vt&&(ii*=256);)xe<0&&pi===0&&this[ke+vr-1]!==0&&(pi=1),this[ke+vr]=(xe/ii>>0)-pi&255;return ke+vt},T.prototype.writeIntBE=function(xe,ke,vt,ir){if(xe=+xe,ke=ke>>>0,!ir){var ar=Math.pow(2,8*vt-1);Nt(this,xe,ke,vt,ar-1,-ar)}var vr=vt-1,ii=1,pi=0;for(this[ke+vr]=xe&255;--vr>=0&&(ii*=256);)xe<0&&pi===0&&this[ke+vr+1]!==0&&(pi=1),this[ke+vr]=(xe/ii>>0)-pi&255;return ke+vt},T.prototype.writeInt8=function(xe,ke,vt){return xe=+xe,ke=ke>>>0,vt||Nt(this,xe,ke,1,127,-128),xe<0&&(xe=255+xe+1),this[ke]=xe&255,ke+1},T.prototype.writeInt16LE=function(xe,ke,vt){return xe=+xe,ke=ke>>>0,vt||Nt(this,xe,ke,2,32767,-32768),this[ke]=xe&255,this[ke+1]=xe>>>8,ke+2},T.prototype.writeInt16BE=function(xe,ke,vt){return xe=+xe,ke=ke>>>0,vt||Nt(this,xe,ke,2,32767,-32768),this[ke]=xe>>>8,this[ke+1]=xe&255,ke+2},T.prototype.writeInt32LE=function(xe,ke,vt){return xe=+xe,ke=ke>>>0,vt||Nt(this,xe,ke,4,2147483647,-2147483648),this[ke]=xe&255,this[ke+1]=xe>>>8,this[ke+2]=xe>>>16,this[ke+3]=xe>>>24,ke+4},T.prototype.writeInt32BE=function(xe,ke,vt){return xe=+xe,ke=ke>>>0,vt||Nt(this,xe,ke,4,2147483647,-2147483648),xe<0&&(xe=4294967295+xe+1),this[ke]=xe>>>24,this[ke+1]=xe>>>16,this[ke+2]=xe>>>8,this[ke+3]=xe&255,ke+4},T.prototype.writeBigInt64LE=tt(function(xe){var ke=arguments.length>1&&arguments[1]!==void 0?arguments[1]:0;return Jt(this,xe,ke,-BigInt(\"0x8000000000000000\"),BigInt(\"0x7fffffffffffffff\"))}),T.prototype.writeBigInt64BE=tt(function(xe){var ke=arguments.length>1&&arguments[1]!==void 0?arguments[1]:0;return sr(this,xe,ke,-BigInt(\"0x8000000000000000\"),BigInt(\"0x7fffffffffffffff\"))});function wr(Ie,xe,ke,vt,ir,ar){if(ke+vt>Ie.length)throw new RangeError(\"Index out of range\");if(ke<0)throw new RangeError(\"Index out of range\")}function cr(Ie,xe,ke,vt,ir){return xe=+xe,ke=ke>>>0,ir||wr(Ie,xe,ke,4,34028234663852886e22,-34028234663852886e22),x.write(Ie,xe,ke,vt,23,4),ke+4}T.prototype.writeFloatLE=function(xe,ke,vt){return cr(this,xe,ke,!0,vt)},T.prototype.writeFloatBE=function(xe,ke,vt){return 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Uint8Array.prototype.copyWithin==\"function\"?this.copyWithin(ke,vt,ir):Uint8Array.prototype.set.call(xe,this.subarray(vt,ir),ke),ar},T.prototype.fill=function(xe,ke,vt,ir){if(typeof xe==\"string\"){if(typeof ke==\"string\"?(ir=ke,ke=0,vt=this.length):typeof vt==\"string\"&&(ir=vt,vt=this.length),ir!==void 0&&typeof ir!=\"string\")throw new TypeError(\"encoding must be a string\");if(typeof ir==\"string\"&&!T.isEncoding(ir))throw new TypeError(\"Unknown encoding: \"+ir);if(xe.length===1){var ar=xe.charCodeAt(0);(ir===\"utf8\"&&ar<128||ir===\"latin1\")&&(xe=ar)}}else typeof xe==\"number\"?xe=xe&255:typeof xe==\"boolean\"&&(xe=Number(xe));if(ke<0||this.length<ke||this.length<vt)throw new RangeError(\"Out of range index\");if(vt<=ke)return this;ke=ke>>>0,vt=vt===void 0?this.length:vt>>>0,xe||(xe=0);var vr;if(typeof xe==\"number\")for(vr=ke;vr<vt;++vr)this[vr]=xe;else{var ii=T.isBuffer(xe)?xe:T.from(xe,ir),pi=ii.length;if(pi===0)throw new TypeError('The value \"'+xe+'\" is invalid for 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o[0]=s[0]+l[0]*u,o[1]=s[1]+l[1]*u,o[2]=s[2]+l[2]*u,o[3]=s[3]+l[3]*u,o}},4905:function(i,a,o){var s=o(5874);i.exports=l;function l(u,c){var f=s(c),h=[];return h=h.concat(f(u)),h=h.concat(f(null)),h}},4935:function(i,a,o){\"use strict\";i.exports=k;var s=o(2762),l=o(8116),u=o(4359),c=o(1879).Q,f=window||process.global||{},h=f.__TEXT_CACHE||{};f.__TEXT_CACHE={};var d=3;function v(E,S,L,x){this.gl=E,this.shader=S,this.buffer=L,this.vao=x,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var _=v.prototype,b=[0,0];_.bind=function(E,S,L,x){this.vao.bind(),this.shader.bind();var C=this.shader.uniforms;C.model=E,C.view=S,C.projection=L,C.pixelScale=x,b[0]=this.gl.drawingBufferWidth,b[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=b},_.unbind=function(){this.vao.unbind()},_.update=function(E,S,L,x,C){var M=[];function g(H,te,oe,_e,Ee,Ce){var me=[oe.style,oe.weight,oe.variant,oe.family].join(\"_\"),ie=h[me];ie||(ie=h[me]={});var 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p(E,S){try{return u(E,S)}catch(L){return console.warn('error vectorizing text:\"'+E+'\" error:',L),{cells:[],positions:[]}}}function k(E,S,L,x,C,M){var g=s(E),P=l(E,[{buffer:g,size:3}]),T=c(E);T.attributes.position.location=0;var z=new v(E,T,g,P);return z.update(S,L,x,C,M),z}},5023:function(i,a,o){\"use strict\";var s=o(2478);i.exports=d;function l(v,_,b,p,k,E,S){this.cells=v,this.neighbor=_,this.flags=p,this.constraint=b,this.active=k,this.next=E,this.boundary=S}var u=l.prototype;function c(v,_){return v[0]-_[0]||v[1]-_[1]||v[2]-_[2]}u.locate=function(){var v=[0,0,0];return function(_,b,p){var k=_,E=b,S=p;return b<p?b<_&&(k=b,E=p,S=_):p<_&&(k=p,E=_,S=b),k<0?-1:(v[0]=k,v[1]=E,v[2]=S,s.eq(this.cells,v,c))}}();function f(v,_){for(var b=v.cells(),p=b.length,k=0;k<p;++k){var E=b[k],S=E[0],L=E[1],x=E[2];L<x?L<S&&(E[0]=L,E[1]=x,E[2]=S):x<S&&(E[0]=x,E[1]=S,E[2]=L)}b.sort(c);for(var C=new Array(p),k=0;k<C.length;++k)C[k]=0;var M=[],g=[],P=new Array(3*p),T=new 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z=f[T],te=z[0],oe=z[1],_e=z[2],Ee=C[T],Ce=s.length(Ee)*j,me=0,ie=8;me<ie;me++){d.positions.push([te,oe,_e,H++]),d.positions.push([te,oe,_e,H++]),d.positions.push([te,oe,_e,H++]),d.positions.push([te,oe,_e,H++]),d.positions.push([te,oe,_e,H++]),d.positions.push([te,oe,_e,H++]),d.vectors.push(Ee),d.vectors.push(Ee),d.vectors.push(Ee),d.vectors.push(Ee),d.vectors.push(Ee),d.vectors.push(Ee),d.vertexIntensity.push(Ce,Ce,Ce),d.vertexIntensity.push(Ce,Ce,Ce);var Se=d.positions.length;d.cells.push([Se-6,Se-5,Se-4],[Se-3,Se-2,Se-1])}return d};var l=o(614);i.exports.createMesh=o(9060),i.exports.createConeMesh=function(u,c){return i.exports.createMesh(u,c,{shaders:l,traceType:\"cone\"})}},6429:function(i,a,o){\"use strict\";i.exports=x;var s=o(8828),l=o(6760),u=o(5202),c=o(3250),f=new Array(16),h=new Array(8),d=new Array(8),v=new Array(3),_=[0,0,0];(function(){for(var C=0;C<8;++C)h[C]=[1,1,1,1],d[C]=[1,1,1]})();function b(C,M,g){for(var P=0;P<4;++P){C[P]=g[12+P];for(var 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me=Ce<<H,ie=me+(Ce<<te)+(1-Ce<<oe),Se=me+(1-Ce<<te)+(Ce<<oe),Le=k([h[me],h[ie],h[Se],h[me+(1<<te)+(1<<oe)]]);Ce?_e=Le:Ee=Le}if(Ee>_e){Z|=1<<H;continue}}}for(var Ae=7^Z,Fe=-1,O=0;O<8;++O)O===Z||O===Ae||(Fe<0||d[Fe][1]>d[O][1])&&(Fe=O);for(var Pe=-1,O=0;O<3;++O){var ge=Fe^1<<O;if(!(ge===Z||ge===Ae)){Pe<0&&(Pe=ge);var oe=d[ge];oe[0]<d[Pe][0]&&(Pe=ge)}}for(var Re=-1,O=0;O<3;++O){var ge=Fe^1<<O;if(!(ge===Z||ge===Ae||ge===Pe)){Re<0&&(Re=ge);var oe=d[ge];oe[0]>d[Re][0]&&(Re=ge)}}var ce=E;ce[0]=ce[1]=ce[2]=0,ce[s.log2(Pe^Fe)]=Fe&Pe,ce[s.log2(Fe^Re)]=Fe&Re;var Ze=Re^7;Ze===Z||Ze===Ae?(Ze=Pe^7,ce[s.log2(Re^Ze)]=Ze&Re):ce[s.log2(Pe^Ze)]=Ze&Pe;for(var ut=S,pt=Z,H=0;H<3;++H)pt&1<<H?ut[H]=-1:ut[H]=1;return L}},6444:function(i,a){\"use strict\";a.create=s,a.equal=l;function o(u,c){var f=u+\"\",h=f.indexOf(\".\"),d=0;h>=0&&(d=f.length-h-1);var v=Math.pow(10,d),_=Math.round(u*c*v),b=_+\"\";if(b.indexOf(\"e\")>=0)return b;var p=_/v,k=_%v;_<0?(p=-Math.ceil(p)|0,k=-k|0):(p=Math.floor(p)|0,k=k|0);var 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Math.abs(C-O)<1e-6&&Math.abs(M-V)<1e-6&&Math.abs(g-G)<1e-6?s(u):(E=C-O,S=M-V,L=g-G,x=1/Math.sqrt(E*E+S*S+L*L),E*=x,S*=x,L*=x,d=T*L-z*S,v=z*E-P*L,_=P*S-T*E,x=Math.sqrt(d*d+v*v+_*_),x?(x=1/x,d*=x,v*=x,_*=x):(d=0,v=0,_=0),b=S*_-L*v,p=L*d-E*_,k=E*v-S*d,x=Math.sqrt(b*b+p*p+k*k),x?(x=1/x,b*=x,p*=x,k*=x):(b=0,p=0,k=0),u[0]=d,u[1]=b,u[2]=E,u[3]=0,u[4]=v,u[5]=p,u[6]=S,u[7]=0,u[8]=_,u[9]=k,u[10]=L,u[11]=0,u[12]=-(d*C+v*M+_*g),u[13]=-(b*C+p*M+k*g),u[14]=-(E*C+S*M+L*g),u[15]=1,u)}},6621:function(i){i.exports=a;function a(o,s,l){return o[0]=s[0]*l,o[1]=s[1]*l,o[2]=s[2]*l,o}},6658:function(i){i.exports=a;function a(o,s,l,u){var c=s[0],f=s[1],h=s[2];return o[0]=c+u*(l[0]-c),o[1]=f+u*(l[1]-f),o[2]=h+u*(l[2]-h),o}},6690:function(i){i.exports=a;function a(o,s,l){return o[0]=s[0]/l[0],o[1]=s[1]/l[1],o[2]=s[2]/l[2],o}},6729:function(i,a,o){\"use strict\";var s=o(3642),l=o(395);i.exports=u;function u(d){var 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g.push(k[k.length-1].rgb.concat(x[1])),S===\"hex\"?g=g.map(f):S===\"rgbaString\"?g=g.map(h):S===\"float\"&&(g=g.map(c)),g}function c(d){return[d[0]/255,d[1]/255,d[2]/255,d[3]]}function f(d){for(var v,_=\"#\",b=0;b<3;++b)v=d[b],v=v.toString(16),_+=(\"00\"+v).substr(v.length);return _}function h(d){return\"rgba(\"+d.join(\",\")+\")\"}},6740:function(i,a,o){var s=o(3236),l=s([`precision highp float;\n",
       "\n",
       "precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "vec3 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",
       "//\n",
       "vec3 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",
       "\n",
       "attribute vec4 vector;\n",
       "attribute vec4 color, position;\n",
       "attribute vec2 uv;\n",
       "\n",
       "uniform float vectorScale, tubeScale;\n",
       "uniform mat4 model, view, projection, inverseModel;\n",
       "uniform vec3 eyePosition, lightPosition;\n",
       "\n",
       "varying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\n",
       "varying vec4 f_color;\n",
       "varying vec2 f_uv;\n",
       "\n",
       "void main() {\n",
       "  // Scale the vector magnitude to stay constant with\n",
       "  // model & view changes.\n",
       "  vec3 normal;\n",
       "  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n",
       "  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n",
       "\n",
       "  //Lighting geometry parameters\n",
       "  vec4 cameraCoordinate = view * tubePosition;\n",
       "  cameraCoordinate.xyz /= cameraCoordinate.w;\n",
       "  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n",
       "  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n",
       "  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n",
       "\n",
       "  // vec4 m_position  = model * vec4(tubePosition, 1.0);\n",
       "  vec4 t_position  = view * tubePosition;\n",
       "  gl_Position      = projection * t_position;\n",
       "\n",
       "  f_color          = color;\n",
       "  f_data           = tubePosition.xyz;\n",
       "  f_position       = position.xyz;\n",
       "  f_uv             = uv;\n",
       "}\n",
       "`]),u=s([`#extension GL_OES_standard_derivatives : enable\n",
       "\n",
       "precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "float 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",
       "\n",
       "float 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",
       "bool outOfRange(float a, float b, float p) {\n",
       "  return ((p > max(a, b)) || \n",
       "          (p < min(a, b)));\n",
       "}\n",
       "\n",
       "bool 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",
       "\n",
       "bool 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",
       "\n",
       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
       "}\n",
       "\n",
       "uniform vec3 clipBounds[2];\n",
       "uniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\n",
       "uniform sampler2D texture;\n",
       "\n",
       "varying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\n",
       "varying vec4 f_color;\n",
       "varying vec2 f_uv;\n",
       "\n",
       "void 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",
       "`]),c=s([`precision highp float;\n",
       "\n",
       "precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "vec3 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",
       "//\n",
       "vec3 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",
       "\n",
       "attribute vec4 vector;\n",
       "attribute vec4 position;\n",
       "attribute vec4 id;\n",
       "\n",
       "uniform mat4 model, view, projection;\n",
       "uniform float tubeScale;\n",
       "\n",
       "varying vec3 f_position;\n",
       "varying vec4 f_id;\n",
       "\n",
       "void 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",
       "`]),f=s([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "bool outOfRange(float a, float b, float p) {\n",
       "  return ((p > max(a, b)) || \n",
       "          (p < min(a, b)));\n",
       "}\n",
       "\n",
       "bool 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",
       "\n",
       "bool 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",
       "\n",
       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
       "}\n",
       "\n",
       "uniform vec3  clipBounds[2];\n",
       "uniform float pickId;\n",
       "\n",
       "varying vec3 f_position;\n",
       "varying vec4 f_id;\n",
       "\n",
       "void main() {\n",
       "  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n",
       "\n",
       "  gl_FragColor = vec4(pickId, f_id.xyz);\n",
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H,te;this.length>N.length?(H=this,te=N):(H=N,te=this);for(var oe=0;oe<te.length;oe++)this.words[oe]=H.words[oe]^te.words[oe];if(this!==H)for(;oe<H.length;oe++)this.words[oe]=H.words[oe];return this.length=H.length,this.strip()},f.prototype.ixor=function(N){return u((this.negative|N.negative)===0),this.iuxor(N)},f.prototype.xor=function(N){return this.length>N.length?this.clone().ixor(N):N.clone().ixor(this)},f.prototype.uxor=function(N){return this.length>N.length?this.clone().iuxor(N):N.clone().iuxor(this)},f.prototype.inotn=function(N){u(typeof N==\"number\"&&N>=0);var H=Math.ceil(N/26)|0,te=N%26;this._expand(H),te>0&&H--;for(var oe=0;oe<H;oe++)this.words[oe]=~this.words[oe]&67108863;return te>0&&(this.words[oe]=~this.words[oe]&67108863>>26-te),this.strip()},f.prototype.notn=function(N){return this.clone().inotn(N)},f.prototype.setn=function(N,H){u(typeof N==\"number\"&&N>=0);var te=N/26|0,oe=N%26;return this._expand(te+1),H?this.words[te]=this.words[te]|1<<oe:this.words[te]=this.words[te]&~(1<<oe),this.strip()},f.prototype.iadd=function(N){var H;if(this.negative!==0&&N.negative===0)return this.negative=0,H=this.isub(N),this.negative^=1,this._normSign();if(this.negative===0&&N.negative!==0)return N.negative=0,H=this.isub(N),N.negative=1,H._normSign();var te,oe;this.length>N.length?(te=this,oe=N):(te=N,oe=this);for(var _e=0,Ee=0;Ee<oe.length;Ee++)H=(te.words[Ee]|0)+(oe.words[Ee]|0)+_e,this.words[Ee]=H&67108863,_e=H>>>26;for(;_e!==0&&Ee<te.length;Ee++)H=(te.words[Ee]|0)+_e,this.words[Ee]=H&67108863,_e=H>>>26;if(this.length=te.length,_e!==0)this.words[this.length]=_e,this.length++;else if(te!==this)for(;Ee<te.length;Ee++)this.words[Ee]=te.words[Ee];return this},f.prototype.add=function(N){var H;return N.negative!==0&&this.negative===0?(N.negative=0,H=this.sub(N),N.negative^=1,H):N.negative===0&&this.negative!==0?(this.negative=0,H=N.sub(this),this.negative=1,H):this.length>N.length?this.clone().iadd(N):N.clone().iadd(this)},f.prototype.isub=function(N){if(N.negative!==0){N.negative=0;var H=this.iadd(N);return N.negative=1,H._normSign()}else if(this.negative!==0)return this.negative=0,this.iadd(N),this.negative=1,this._normSign();var te=this.cmp(N);if(te===0)return this.negative=0,this.length=1,this.words[0]=0,this;var oe,_e;te>0?(oe=this,_e=N):(oe=N,_e=this);for(var Ee=0,Ce=0;Ce<_e.length;Ce++)H=(oe.words[Ce]|0)-(_e.words[Ce]|0)+Ee,Ee=H>>26,this.words[Ce]=H&67108863;for(;Ee!==0&&Ce<oe.length;Ce++)H=(oe.words[Ce]|0)+Ee,Ee=H>>26,this.words[Ce]=H&67108863;if(Ee===0&&Ce<oe.length&&oe!==this)for(;Ce<oe.length;Ce++)this.words[Ce]=oe.words[Ce];return this.length=Math.max(this.length,Ce),oe!==this&&(this.negative=1),this.strip()},f.prototype.sub=function(N){return this.clone().isub(N)};function S(j,N,H){H.negative=N.negative^j.negative;var te=j.length+N.length|0;H.length=te,te=te-1|0;var oe=j.words[0]|0,_e=N.words[0]|0,Ee=oe*_e,Ce=Ee&67108863,me=Ee/67108864|0;H.words[0]=Ce;for(var ie=1;ie<te;ie++){for(var Se=me>>>26,Le=me&67108863,Ae=Math.min(ie,N.length-1),Fe=Math.max(0,ie-j.length+1);Fe<=Ae;Fe++){var Pe=ie-Fe|0;oe=j.words[Pe]|0,_e=N.words[Fe]|0,Ee=oe*_e+Le,Se+=Ee/67108864|0,Le=Ee&67108863}H.words[ie]=Le|0,me=Se|0}return me!==0?H.words[ie]=me|0:H.length--,H.strip()}var L=function(N,H,te){var oe=N.words,_e=H.words,Ee=te.words,Ce=0,me,ie,Se,Le=oe[0]|0,Ae=Le&8191,Fe=Le>>>13,Pe=oe[1]|0,ge=Pe&8191,Re=Pe>>>13,ce=oe[2]|0,Ze=ce&8191,ut=ce>>>13,pt=oe[3]|0,Zt=pt&8191,st=pt>>>13,lt=oe[4]|0,Gt=lt&8191,Nt=lt>>>13,Jt=oe[5]|0,sr=Jt&8191,wr=Jt>>>13,cr=oe[6]|0,$e=cr&8191,St=cr>>>13,Qt=oe[7]|0,Vt=Qt&8191,_t=Qt>>>13,It=oe[8]|0,mt=It&8191,er=It>>>13,lr=oe[9]|0,Tr=lr&8191,Lr=lr>>>13,ti=_e[0]|0,Br=ti&8191,Vr=ti>>>13,dt=_e[1]|0,Ge=dt&8191,Je=dt>>>13,je=_e[2]|0,tt=je&8191,xt=je>>>13,Ie=_e[3]|0,xe=Ie&8191,ke=Ie>>>13,vt=_e[4]|0,ir=vt&8191,ar=vt>>>13,vr=_e[5]|0,ii=vr&8191,pi=vr>>>13,$r=_e[6]|0,di=$r&8191,ji=$r>>>13,In=_e[7]|0,wi=In&8191,On=In>>>13,qn=_e[8]|0,Fn=qn&8191,ra=qn>>>13,la=_e[9]|0,Ut=la&8191,wt=la>>>13;te.negative=N.negative^H.negative,te.length=19,me=Math.imul(Ae,Br),ie=Math.imul(Ae,Vr),ie=ie+Math.imul(Fe,Br)|0,Se=Math.imul(Fe,Vr);var rr=(Ce+me|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(rr>>>26)|0,rr&=67108863,me=Math.imul(ge,Br),ie=Math.imul(ge,Vr),ie=ie+Math.imul(Re,Br)|0,Se=Math.imul(Re,Vr),me=me+Math.imul(Ae,Ge)|0,ie=ie+Math.imul(Ae,Je)|0,ie=ie+Math.imul(Fe,Ge)|0,Se=Se+Math.imul(Fe,Je)|0;var nr=(Ce+me|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(nr>>>26)|0,nr&=67108863,me=Math.imul(Ze,Br),ie=Math.imul(Ze,Vr),ie=ie+Math.imul(ut,Br)|0,Se=Math.imul(ut,Vr),me=me+Math.imul(ge,Ge)|0,ie=ie+Math.imul(ge,Je)|0,ie=ie+Math.imul(Re,Ge)|0,Se=Se+Math.imul(Re,Je)|0,me=me+Math.imul(Ae,tt)|0,ie=ie+Math.imul(Ae,xt)|0,ie=ie+Math.imul(Fe,tt)|0,Se=Se+Math.imul(Fe,xt)|0;var Er=(Ce+me|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(Er>>>26)|0,Er&=67108863,me=Math.imul(Zt,Br),ie=Math.imul(Zt,Vr),ie=ie+Math.imul(st,Br)|0,Se=Math.imul(st,Vr),me=me+Math.imul(Ze,Ge)|0,ie=ie+Math.imul(Ze,Je)|0,ie=ie+Math.imul(ut,Ge)|0,Se=Se+Math.imul(ut,Je)|0,me=me+Math.imul(ge,tt)|0,ie=ie+Math.imul(ge,xt)|0,ie=ie+Math.imul(Re,tt)|0,Se=Se+Math.imul(Re,xt)|0,me=me+Math.imul(Ae,xe)|0,ie=ie+Math.imul(Ae,ke)|0,ie=ie+Math.imul(Fe,xe)|0,Se=Se+Math.imul(Fe,ke)|0;var Xr=(Ce+me|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(Xr>>>26)|0,Xr&=67108863,me=Math.imul(Gt,Br),ie=Math.imul(Gt,Vr),ie=ie+Math.imul(Nt,Br)|0,Se=Math.imul(Nt,Vr),me=me+Math.imul(Zt,Ge)|0,ie=ie+Math.imul(Zt,Je)|0,ie=ie+Math.imul(st,Ge)|0,Se=Se+Math.imul(st,Je)|0,me=me+Math.imul(Ze,tt)|0,ie=ie+Math.imul(Ze,xt)|0,ie=ie+Math.imul(ut,tt)|0,Se=Se+Math.imul(ut,xt)|0,me=me+Math.imul(ge,xe)|0,ie=ie+Math.imul(ge,ke)|0,ie=ie+Math.imul(Re,xe)|0,Se=Se+Math.imul(Re,ke)|0,me=me+Math.imul(Ae,ir)|0,ie=ie+Math.imul(Ae,ar)|0,ie=ie+Math.imul(Fe,ir)|0,Se=Se+Math.imul(Fe,ar)|0;var ri=(Ce+me|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(ri>>>26)|0,ri&=67108863,me=Math.imul(sr,Br),ie=Math.imul(sr,Vr),ie=ie+Math.imul(wr,Br)|0,Se=Math.imul(wr,Vr),me=me+Math.imul(Gt,Ge)|0,ie=ie+Math.imul(Gt,Je)|0,ie=ie+Math.imul(Nt,Ge)|0,Se=Se+Math.imul(Nt,Je)|0,me=me+Math.imul(Zt,tt)|0,ie=ie+Math.imul(Zt,xt)|0,ie=ie+Math.imul(st,tt)|0,Se=Se+Math.imul(st,xt)|0,me=me+Math.imul(Ze,xe)|0,ie=ie+Math.imul(Ze,ke)|0,ie=ie+Math.imul(ut,xe)|0,Se=Se+Math.imul(ut,ke)|0,me=me+Math.imul(ge,ir)|0,ie=ie+Math.imul(ge,ar)|0,ie=ie+Math.imul(Re,ir)|0,Se=Se+Math.imul(Re,ar)|0,me=me+Math.imul(Ae,ii)|0,ie=ie+Math.imul(Ae,pi)|0,ie=ie+Math.imul(Fe,ii)|0,Se=Se+Math.imul(Fe,pi)|0;var Qr=(Ce+me|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(Qr>>>26)|0,Qr&=67108863,me=Math.imul($e,Br),ie=Math.imul($e,Vr),ie=ie+Math.imul(St,Br)|0,Se=Math.imul(St,Vr),me=me+Math.imul(sr,Ge)|0,ie=ie+Math.imul(sr,Je)|0,ie=ie+Math.imul(wr,Ge)|0,Se=Se+Math.imul(wr,Je)|0,me=me+Math.imul(Gt,tt)|0,ie=ie+Math.imul(Gt,xt)|0,ie=ie+Math.imul(Nt,tt)|0,Se=Se+Math.imul(Nt,xt)|0,me=me+Math.imul(Zt,xe)|0,ie=ie+Math.imul(Zt,ke)|0,ie=ie+Math.imul(st,xe)|0,Se=Se+Math.imul(st,ke)|0,me=me+Math.imul(Ze,ir)|0,ie=ie+Math.imul(Ze,ar)|0,ie=ie+Math.imul(ut,ir)|0,Se=Se+Math.imul(ut,ar)|0,me=me+Math.imul(ge,ii)|0,ie=ie+Math.imul(ge,pi)|0,ie=ie+Math.imul(Re,ii)|0,Se=Se+Math.imul(Re,pi)|0,me=me+Math.imul(Ae,di)|0,ie=ie+Math.imul(Ae,ji)|0,ie=ie+Math.imul(Fe,di)|0,Se=Se+Math.imul(Fe,ji)|0;var Oi=(Ce+me|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(Oi>>>26)|0,Oi&=67108863,me=Math.imul(Vt,Br),ie=Math.imul(Vt,Vr),ie=ie+Math.imul(_t,Br)|0,Se=Math.imul(_t,Vr),me=me+Math.imul($e,Ge)|0,ie=ie+Math.imul($e,Je)|0,ie=ie+Math.imul(St,Ge)|0,Se=Se+Math.imul(St,Je)|0,me=me+Math.imul(sr,tt)|0,ie=ie+Math.imul(sr,xt)|0,ie=ie+Math.imul(wr,tt)|0,Se=Se+Math.imul(wr,xt)|0,me=me+Math.imul(Gt,xe)|0,ie=ie+Math.imul(Gt,ke)|0,ie=ie+Math.imul(Nt,xe)|0,Se=Se+Math.imul(Nt,ke)|0,me=me+Math.imul(Zt,ir)|0,ie=ie+Math.imul(Zt,ar)|0,ie=ie+Math.imul(st,ir)|0,Se=Se+Math.imul(st,ar)|0,me=me+Math.imul(Ze,ii)|0,ie=ie+Math.imul(Ze,pi)|0,ie=ie+Math.imul(ut,ii)|0,Se=Se+Math.imul(ut,pi)|0,me=me+Math.imul(ge,di)|0,ie=ie+Math.imul(ge,ji)|0,ie=ie+Math.imul(Re,di)|0,Se=Se+Math.imul(Re,ji)|0,me=me+Math.imul(Ae,wi)|0,ie=ie+Math.imul(Ae,On)|0,ie=ie+Math.imul(Fe,wi)|0,Se=Se+Math.imul(Fe,On)|0;var $i=(Ce+me|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+($i>>>26)|0,$i&=67108863,me=Math.imul(mt,Br),ie=Math.imul(mt,Vr),ie=ie+Math.imul(er,Br)|0,Se=Math.imul(er,Vr),me=me+Math.imul(Vt,Ge)|0,ie=ie+Math.imul(Vt,Je)|0,ie=ie+Math.imul(_t,Ge)|0,Se=Se+Math.imul(_t,Je)|0,me=me+Math.imul($e,tt)|0,ie=ie+Math.imul($e,xt)|0,ie=ie+Math.imul(St,tt)|0,Se=Se+Math.imul(St,xt)|0,me=me+Math.imul(sr,xe)|0,ie=ie+Math.imul(sr,ke)|0,ie=ie+Math.imul(wr,xe)|0,Se=Se+Math.imul(wr,ke)|0,me=me+Math.imul(Gt,ir)|0,ie=ie+Math.imul(Gt,ar)|0,ie=ie+Math.imul(Nt,ir)|0,Se=Se+Math.imul(Nt,ar)|0,me=me+Math.imul(Zt,ii)|0,ie=ie+Math.imul(Zt,pi)|0,ie=ie+Math.imul(st,ii)|0,Se=Se+Math.imul(st,pi)|0,me=me+Math.imul(Ze,di)|0,ie=ie+Math.imul(Ze,ji)|0,ie=ie+Math.imul(ut,di)|0,Se=Se+Math.imul(ut,ji)|0,me=me+Math.imul(ge,wi)|0,ie=ie+Math.imul(ge,On)|0,ie=ie+Math.imul(Re,wi)|0,Se=Se+Math.imul(Re,On)|0,me=me+Math.imul(Ae,Fn)|0,ie=ie+Math.imul(Ae,ra)|0,ie=ie+Math.imul(Fe,Fn)|0,Se=Se+Math.imul(Fe,ra)|0;var tn=(Ce+me|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(tn>>>26)|0,tn&=67108863,me=Math.imul(Tr,Br),ie=Math.imul(Tr,Vr),ie=ie+Math.imul(Lr,Br)|0,Se=Math.imul(Lr,Vr),me=me+Math.imul(mt,Ge)|0,ie=ie+Math.imul(mt,Je)|0,ie=ie+Math.imul(er,Ge)|0,Se=Se+Math.imul(er,Je)|0,me=me+Math.imul(Vt,tt)|0,ie=ie+Math.imul(Vt,xt)|0,ie=ie+Math.imul(_t,tt)|0,Se=Se+Math.imul(_t,xt)|0,me=me+Math.imul($e,xe)|0,ie=ie+Math.imul($e,ke)|0,ie=ie+Math.imul(St,xe)|0,Se=Se+Math.imul(St,ke)|0,me=me+Math.imul(sr,ir)|0,ie=ie+Math.imul(sr,ar)|0,ie=ie+Math.imul(wr,ir)|0,Se=Se+Math.imul(wr,ar)|0,me=me+Math.imul(Gt,ii)|0,ie=ie+Math.imul(Gt,pi)|0,ie=ie+Math.imul(Nt,ii)|0,Se=Se+Math.imul(Nt,pi)|0,me=me+Math.imul(Zt,di)|0,ie=ie+Math.imul(Zt,ji)|0,ie=ie+Math.imul(st,di)|0,Se=Se+Math.imul(st,ji)|0,me=me+Math.imul(Ze,wi)|0,ie=ie+Math.imul(Ze,On)|0,ie=ie+Math.imul(ut,wi)|0,Se=Se+Math.imul(ut,On)|0,me=me+Math.imul(ge,Fn)|0,ie=ie+Math.imul(ge,ra)|0,ie=ie+Math.imul(Re,Fn)|0,Se=Se+Math.imul(Re,ra)|0,me=me+Math.imul(Ae,Ut)|0,ie=ie+Math.imul(Ae,wt)|0,ie=ie+Math.imul(Fe,Ut)|0,Se=Se+Math.imul(Fe,wt)|0;var fn=(Ce+me|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(fn>>>26)|0,fn&=67108863,me=Math.imul(Tr,Ge),ie=Math.imul(Tr,Je),ie=ie+Math.imul(Lr,Ge)|0,Se=Math.imul(Lr,Je),me=me+Math.imul(mt,tt)|0,ie=ie+Math.imul(mt,xt)|0,ie=ie+Math.imul(er,tt)|0,Se=Se+Math.imul(er,xt)|0,me=me+Math.imul(Vt,xe)|0,ie=ie+Math.imul(Vt,ke)|0,ie=ie+Math.imul(_t,xe)|0,Se=Se+Math.imul(_t,ke)|0,me=me+Math.imul($e,ir)|0,ie=ie+Math.imul($e,ar)|0,ie=ie+Math.imul(St,ir)|0,Se=Se+Math.imul(St,ar)|0,me=me+Math.imul(sr,ii)|0,ie=ie+Math.imul(sr,pi)|0,ie=ie+Math.imul(wr,ii)|0,Se=Se+Math.imul(wr,pi)|0,me=me+Math.imul(Gt,di)|0,ie=ie+Math.imul(Gt,ji)|0,ie=ie+Math.imul(Nt,di)|0,Se=Se+Math.imul(Nt,ji)|0,me=me+Math.imul(Zt,wi)|0,ie=ie+Math.imul(Zt,On)|0,ie=ie+Math.imul(st,wi)|0,Se=Se+Math.imul(st,On)|0,me=me+Math.imul(Ze,Fn)|0,ie=ie+Math.imul(Ze,ra)|0,ie=ie+Math.imul(ut,Fn)|0,Se=Se+Math.imul(ut,ra)|0,me=me+Math.imul(ge,Ut)|0,ie=ie+Math.imul(ge,wt)|0,ie=ie+Math.imul(Re,Ut)|0,Se=Se+Math.imul(Re,wt)|0;var yn=(Ce+me|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(yn>>>26)|0,yn&=67108863,me=Math.imul(Tr,tt),ie=Math.imul(Tr,xt),ie=ie+Math.imul(Lr,tt)|0,Se=Math.imul(Lr,xt),me=me+Math.imul(mt,xe)|0,ie=ie+Math.imul(mt,ke)|0,ie=ie+Math.imul(er,xe)|0,Se=Se+Math.imul(er,ke)|0,me=me+Math.imul(Vt,ir)|0,ie=ie+Math.imul(Vt,ar)|0,ie=ie+Math.imul(_t,ir)|0,Se=Se+Math.imul(_t,ar)|0,me=me+Math.imul($e,ii)|0,ie=ie+Math.imul($e,pi)|0,ie=ie+Math.imul(St,ii)|0,Se=Se+Math.imul(St,pi)|0,me=me+Math.imul(sr,di)|0,ie=ie+Math.imul(sr,ji)|0,ie=ie+Math.imul(wr,di)|0,Se=Se+Math.imul(wr,ji)|0,me=me+Math.imul(Gt,wi)|0,ie=ie+Math.imul(Gt,On)|0,ie=ie+Math.imul(Nt,wi)|0,Se=Se+Math.imul(Nt,On)|0,me=me+Math.imul(Zt,Fn)|0,ie=ie+Math.imul(Zt,ra)|0,ie=ie+Math.imul(st,Fn)|0,Se=Se+Math.imul(st,ra)|0,me=me+Math.imul(Ze,Ut)|0,ie=ie+Math.imul(Ze,wt)|0,ie=ie+Math.imul(ut,Ut)|0,Se=Se+Math.imul(ut,wt)|0;var Sn=(Ce+me|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(Sn>>>26)|0,Sn&=67108863,me=Math.imul(Tr,xe),ie=Math.imul(Tr,ke),ie=ie+Math.imul(Lr,xe)|0,Se=Math.imul(Lr,ke),me=me+Math.imul(mt,ir)|0,ie=ie+Math.imul(mt,ar)|0,ie=ie+Math.imul(er,ir)|0,Se=Se+Math.imul(er,ar)|0,me=me+Math.imul(Vt,ii)|0,ie=ie+Math.imul(Vt,pi)|0,ie=ie+Math.imul(_t,ii)|0,Se=Se+Math.imul(_t,pi)|0,me=me+Math.imul($e,di)|0,ie=ie+Math.imul($e,ji)|0,ie=ie+Math.imul(St,di)|0,Se=Se+Math.imul(St,ji)|0,me=me+Math.imul(sr,wi)|0,ie=ie+Math.imul(sr,On)|0,ie=ie+Math.imul(wr,wi)|0,Se=Se+Math.imul(wr,On)|0,me=me+Math.imul(Gt,Fn)|0,ie=ie+Math.imul(Gt,ra)|0,ie=ie+Math.imul(Nt,Fn)|0,Se=Se+Math.imul(Nt,ra)|0,me=me+Math.imul(Zt,Ut)|0,ie=ie+Math.imul(Zt,wt)|0,ie=ie+Math.imul(st,Ut)|0,Se=Se+Math.imul(st,wt)|0;var Ba=(Ce+me|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(Ba>>>26)|0,Ba&=67108863,me=Math.imul(Tr,ir),ie=Math.imul(Tr,ar),ie=ie+Math.imul(Lr,ir)|0,Se=Math.imul(Lr,ar),me=me+Math.imul(mt,ii)|0,ie=ie+Math.imul(mt,pi)|0,ie=ie+Math.imul(er,ii)|0,Se=Se+Math.imul(er,pi)|0,me=me+Math.imul(Vt,di)|0,ie=ie+Math.imul(Vt,ji)|0,ie=ie+Math.imul(_t,di)|0,Se=Se+Math.imul(_t,ji)|0,me=me+Math.imul($e,wi)|0,ie=ie+Math.imul($e,On)|0,ie=ie+Math.imul(St,wi)|0,Se=Se+Math.imul(St,On)|0,me=me+Math.imul(sr,Fn)|0,ie=ie+Math.imul(sr,ra)|0,ie=ie+Math.imul(wr,Fn)|0,Se=Se+Math.imul(wr,ra)|0,me=me+Math.imul(Gt,Ut)|0,ie=ie+Math.imul(Gt,wt)|0,ie=ie+Math.imul(Nt,Ut)|0,Se=Se+Math.imul(Nt,wt)|0;var ua=(Ce+me|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(ua>>>26)|0,ua&=67108863,me=Math.imul(Tr,ii),ie=Math.imul(Tr,pi),ie=ie+Math.imul(Lr,ii)|0,Se=Math.imul(Lr,pi),me=me+Math.imul(mt,di)|0,ie=ie+Math.imul(mt,ji)|0,ie=ie+Math.imul(er,di)|0,Se=Se+Math.imul(er,ji)|0,me=me+Math.imul(Vt,wi)|0,ie=ie+Math.imul(Vt,On)|0,ie=ie+Math.imul(_t,wi)|0,Se=Se+Math.imul(_t,On)|0,me=me+Math.imul($e,Fn)|0,ie=ie+Math.imul($e,ra)|0,ie=ie+Math.imul(St,Fn)|0,Se=Se+Math.imul(St,ra)|0,me=me+Math.imul(sr,Ut)|0,ie=ie+Math.imul(sr,wt)|0,ie=ie+Math.imul(wr,Ut)|0,Se=Se+Math.imul(wr,wt)|0;var ma=(Ce+me|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(ma>>>26)|0,ma&=67108863,me=Math.imul(Tr,di),ie=Math.imul(Tr,ji),ie=ie+Math.imul(Lr,di)|0,Se=Math.imul(Lr,ji),me=me+Math.imul(mt,wi)|0,ie=ie+Math.imul(mt,On)|0,ie=ie+Math.imul(er,wi)|0,Se=Se+Math.imul(er,On)|0,me=me+Math.imul(Vt,Fn)|0,ie=ie+Math.imul(Vt,ra)|0,ie=ie+Math.imul(_t,Fn)|0,Se=Se+Math.imul(_t,ra)|0,me=me+Math.imul($e,Ut)|0,ie=ie+Math.imul($e,wt)|0,ie=ie+Math.imul(St,Ut)|0,Se=Se+Math.imul(St,wt)|0;var Wa=(Ce+me|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(Wa>>>26)|0,Wa&=67108863,me=Math.imul(Tr,wi),ie=Math.imul(Tr,On),ie=ie+Math.imul(Lr,wi)|0,Se=Math.imul(Lr,On),me=me+Math.imul(mt,Fn)|0,ie=ie+Math.imul(mt,ra)|0,ie=ie+Math.imul(er,Fn)|0,Se=Se+Math.imul(er,ra)|0,me=me+Math.imul(Vt,Ut)|0,ie=ie+Math.imul(Vt,wt)|0,ie=ie+Math.imul(_t,Ut)|0,Se=Se+Math.imul(_t,wt)|0;var Fa=(Ce+me|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(Fa>>>26)|0,Fa&=67108863,me=Math.imul(Tr,Fn),ie=Math.imul(Tr,ra),ie=ie+Math.imul(Lr,Fn)|0,Se=Math.imul(Lr,ra),me=me+Math.imul(mt,Ut)|0,ie=ie+Math.imul(mt,wt)|0,ie=ie+Math.imul(er,Ut)|0,Se=Se+Math.imul(er,wt)|0;var Wo=(Ce+me|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(Wo>>>26)|0,Wo&=67108863,me=Math.imul(Tr,Ut),ie=Math.imul(Tr,wt),ie=ie+Math.imul(Lr,Ut)|0,Se=Math.imul(Lr,wt);var da=(Ce+me|0)+((ie&8191)<<13)|0;return Ce=(Se+(ie>>>13)|0)+(da>>>26)|0,da&=67108863,Ee[0]=rr,Ee[1]=nr,Ee[2]=Er,Ee[3]=Xr,Ee[4]=ri,Ee[5]=Qr,Ee[6]=Oi,Ee[7]=$i,Ee[8]=tn,Ee[9]=fn,Ee[10]=yn,Ee[11]=Sn,Ee[12]=Ba,Ee[13]=ua,Ee[14]=ma,Ee[15]=Wa,Ee[16]=Fa,Ee[17]=Wo,Ee[18]=da,Ce!==0&&(Ee[19]=Ce,te.length++),te};Math.imul||(L=S);function x(j,N,H){H.negative=N.negative^j.negative,H.length=j.length+N.length;for(var te=0,oe=0,_e=0;_e<H.length-1;_e++){var Ee=oe;oe=0;for(var Ce=te&67108863,me=Math.min(_e,N.length-1),ie=Math.max(0,_e-j.length+1);ie<=me;ie++){var Se=_e-ie,Le=j.words[Se]|0,Ae=N.words[ie]|0,Fe=Le*Ae,Pe=Fe&67108863;Ee=Ee+(Fe/67108864|0)|0,Pe=Pe+Ce|0,Ce=Pe&67108863,Ee=Ee+(Pe>>>26)|0,oe+=Ee>>>26,Ee&=67108863}H.words[_e]=Ce,te=Ee,Ee=oe}return te!==0?H.words[_e]=te:H.length--,H.strip()}function C(j,N,H){var te=new M;return te.mulp(j,N,H)}f.prototype.mulTo=function(N,H){var te,oe=this.length+N.length;return this.length===10&&N.length===10?te=L(this,N,H):oe<63?te=S(this,N,H):oe<1024?te=x(this,N,H):te=C(this,N,H),te};function M(j,N){this.x=j,this.y=N}M.prototype.makeRBT=function(N){for(var H=new Array(N),te=f.prototype._countBits(N)-1,oe=0;oe<N;oe++)H[oe]=this.revBin(oe,te,N);return H},M.prototype.revBin=function(N,H,te){if(N===0||N===te-1)return N;for(var oe=0,_e=0;_e<H;_e++)oe|=(N&1)<<H-_e-1,N>>=1;return oe},M.prototype.permute=function(N,H,te,oe,_e,Ee){for(var Ce=0;Ce<Ee;Ce++)oe[Ce]=H[N[Ce]],_e[Ce]=te[N[Ce]]},M.prototype.transform=function(N,H,te,oe,_e,Ee){this.permute(Ee,N,H,te,oe,_e);for(var Ce=1;Ce<_e;Ce<<=1)for(var me=Ce<<1,ie=Math.cos(2*Math.PI/me),Se=Math.sin(2*Math.PI/me),Le=0;Le<_e;Le+=me)for(var Ae=ie,Fe=Se,Pe=0;Pe<Ce;Pe++){var ge=te[Le+Pe],Re=oe[Le+Pe],ce=te[Le+Pe+Ce],Ze=oe[Le+Pe+Ce],ut=Ae*ce-Fe*Ze;Ze=Ae*Ze+Fe*ce,ce=ut,te[Le+Pe]=ge+ce,oe[Le+Pe]=Re+Ze,te[Le+Pe+Ce]=ge-ce,oe[Le+Pe+Ce]=Re-Ze,Pe!==me&&(ut=ie*Ae-Se*Fe,Fe=ie*Fe+Se*Ae,Ae=ut)}},M.prototype.guessLen13b=function(N,H){var te=Math.max(H,N)|1,oe=te&1,_e=0;for(te=te/2|0;te;te=te>>>1)_e++;return 1<<_e+1+oe},M.prototype.conjugate=function(N,H,te){if(!(te<=1))for(var oe=0;oe<te/2;oe++){var _e=N[oe];N[oe]=N[te-oe-1],N[te-oe-1]=_e,_e=H[oe],H[oe]=-H[te-oe-1],H[te-oe-1]=-_e}},M.prototype.normalize13b=function(N,H){for(var te=0,oe=0;oe<H/2;oe++){var _e=Math.round(N[2*oe+1]/H)*8192+Math.round(N[2*oe]/H)+te;N[oe]=_e&67108863,_e<67108864?te=0:te=_e/67108864|0}return N},M.prototype.convert13b=function(N,H,te,oe){for(var _e=0,Ee=0;Ee<H;Ee++)_e=_e+(N[Ee]|0),te[2*Ee]=_e&8191,_e=_e>>>13,te[2*Ee+1]=_e&8191,_e=_e>>>13;for(Ee=2*H;Ee<oe;++Ee)te[Ee]=0;u(_e===0),u((_e&-8192)===0)},M.prototype.stub=function(N){for(var H=new Array(N),te=0;te<N;te++)H[te]=0;return H},M.prototype.mulp=function(N,H,te){var oe=2*this.guessLen13b(N.length,H.length),_e=this.makeRBT(oe),Ee=this.stub(oe),Ce=new Array(oe),me=new Array(oe),ie=new Array(oe),Se=new Array(oe),Le=new Array(oe),Ae=new Array(oe),Fe=te.words;Fe.length=oe,this.convert13b(N.words,N.length,Ce,oe),this.convert13b(H.words,H.length,Se,oe),this.transform(Ce,Ee,me,ie,oe,_e),this.transform(Se,Ee,Le,Ae,oe,_e);for(var Pe=0;Pe<oe;Pe++){var ge=me[Pe]*Le[Pe]-ie[Pe]*Ae[Pe];ie[Pe]=me[Pe]*Ae[Pe]+ie[Pe]*Le[Pe],me[Pe]=ge}return this.conjugate(me,ie,oe),this.transform(me,ie,Fe,Ee,oe,_e),this.conjugate(Fe,Ee,oe),this.normalize13b(Fe,oe),te.negative=N.negative^H.negative,te.length=N.length+H.length,te.strip()},f.prototype.mul=function(N){var H=new f(null);return H.words=new Array(this.length+N.length),this.mulTo(N,H)},f.prototype.mulf=function(N){var H=new f(null);return H.words=new Array(this.length+N.length),C(this,N,H)},f.prototype.imul=function(N){return this.clone().mulTo(N,this)},f.prototype.imuln=function(N){u(typeof N==\"number\"),u(N<67108864);for(var H=0,te=0;te<this.length;te++){var oe=(this.words[te]|0)*N,_e=(oe&67108863)+(H&67108863);H>>=26,H+=oe/67108864|0,H+=_e>>>26,this.words[te]=_e&67108863}return H!==0&&(this.words[te]=H,this.length++),this},f.prototype.muln=function(N){return this.clone().imuln(N)},f.prototype.sqr=function(){return this.mul(this)},f.prototype.isqr=function(){return this.imul(this.clone())},f.prototype.pow=function(N){var H=E(N);if(H.length===0)return new f(1);for(var te=this,oe=0;oe<H.length&&H[oe]===0;oe++,te=te.sqr());if(++oe<H.length)for(var _e=te.sqr();oe<H.length;oe++,_e=_e.sqr())H[oe]!==0&&(te=te.mul(_e));return te},f.prototype.iushln=function(N){u(typeof N==\"number\"&&N>=0);var H=N%26,te=(N-H)/26,oe=67108863>>>26-H<<26-H,_e;if(H!==0){var Ee=0;for(_e=0;_e<this.length;_e++){var Ce=this.words[_e]&oe,me=(this.words[_e]|0)-Ce<<H;this.words[_e]=me|Ee,Ee=Ce>>>26-H}Ee&&(this.words[_e]=Ee,this.length++)}if(te!==0){for(_e=this.length-1;_e>=0;_e--)this.words[_e+te]=this.words[_e];for(_e=0;_e<te;_e++)this.words[_e]=0;this.length+=te}return this.strip()},f.prototype.ishln=function(N){return u(this.negative===0),this.iushln(N)},f.prototype.iushrn=function(N,H,te){u(typeof N==\"number\"&&N>=0);var oe;H?oe=(H-H%26)/26:oe=0;var _e=N%26,Ee=Math.min((N-_e)/26,this.length),Ce=67108863^67108863>>>_e<<_e,me=te;if(oe-=Ee,oe=Math.max(0,oe),me){for(var ie=0;ie<Ee;ie++)me.words[ie]=this.words[ie];me.length=Ee}if(Ee!==0)if(this.length>Ee)for(this.length-=Ee,ie=0;ie<this.length;ie++)this.words[ie]=this.words[ie+Ee];else this.words[0]=0,this.length=1;var Se=0;for(ie=this.length-1;ie>=0&&(Se!==0||ie>=oe);ie--){var Le=this.words[ie]|0;this.words[ie]=Se<<26-_e|Le>>>_e,Se=Le&Ce}return me&&Se!==0&&(me.words[me.length++]=Se),this.length===0&&(this.words[0]=0,this.length=1),this.strip()},f.prototype.ishrn=function(N,H,te){return u(this.negative===0),this.iushrn(N,H,te)},f.prototype.shln=function(N){return this.clone().ishln(N)},f.prototype.ushln=function(N){return this.clone().iushln(N)},f.prototype.shrn=function(N){return this.clone().ishrn(N)},f.prototype.ushrn=function(N){return this.clone().iushrn(N)},f.prototype.testn=function(N){u(typeof N==\"number\"&&N>=0);var H=N%26,te=(N-H)/26,oe=1<<H;if(this.length<=te)return!1;var _e=this.words[te];return!!(_e&oe)},f.prototype.imaskn=function(N){u(typeof N==\"number\"&&N>=0);var H=N%26,te=(N-H)/26;if(u(this.negative===0,\"imaskn works only with positive numbers\"),this.length<=te)return this;if(H!==0&&te++,this.length=Math.min(te,this.length),H!==0){var oe=67108863^67108863>>>H<<H;this.words[this.length-1]&=oe}return this.strip()},f.prototype.maskn=function(N){return this.clone().imaskn(N)},f.prototype.iaddn=function(N){return u(typeof N==\"number\"),u(N<67108864),N<0?this.isubn(-N):this.negative!==0?this.length===1&&(this.words[0]|0)<N?(this.words[0]=N-(this.words[0]|0),this.negative=0,this):(this.negative=0,this.isubn(N),this.negative=1,this):this._iaddn(N)},f.prototype._iaddn=function(N){this.words[0]+=N;for(var H=0;H<this.length&&this.words[H]>=67108864;H++)this.words[H]-=67108864,H===this.length-1?this.words[H+1]=1:this.words[H+1]++;return this.length=Math.max(this.length,H+1),this},f.prototype.isubn=function(N){if(u(typeof N==\"number\"),u(N<67108864),N<0)return this.iaddn(-N);if(this.negative!==0)return this.negative=0,this.iaddn(N),this.negative=1,this;if(this.words[0]-=N,this.length===1&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var H=0;H<this.length&&this.words[H]<0;H++)this.words[H]+=67108864,this.words[H+1]-=1;return this.strip()},f.prototype.addn=function(N){return this.clone().iaddn(N)},f.prototype.subn=function(N){return this.clone().isubn(N)},f.prototype.iabs=function(){return this.negative=0,this},f.prototype.abs=function(){return this.clone().iabs()},f.prototype._ishlnsubmul=function(N,H,te){var oe=N.length+te,_e;this._expand(oe);var Ee,Ce=0;for(_e=0;_e<N.length;_e++){Ee=(this.words[_e+te]|0)+Ce;var me=(N.words[_e]|0)*H;Ee-=me&67108863,Ce=(Ee>>26)-(me/67108864|0),this.words[_e+te]=Ee&67108863}for(;_e<this.length-te;_e++)Ee=(this.words[_e+te]|0)+Ce,Ce=Ee>>26,this.words[_e+te]=Ee&67108863;if(Ce===0)return this.strip();for(u(Ce===-1),Ce=0,_e=0;_e<this.length;_e++)Ee=-(this.words[_e]|0)+Ce,Ce=Ee>>26,this.words[_e]=Ee&67108863;return this.negative=1,this.strip()},f.prototype._wordDiv=function(N,H){var te=this.length-N.length,oe=this.clone(),_e=N,Ee=_e.words[_e.length-1]|0,Ce=this._countBits(Ee);te=26-Ce,te!==0&&(_e=_e.ushln(te),oe.iushln(te),Ee=_e.words[_e.length-1]|0);var me=oe.length-_e.length,ie;if(H!==\"mod\"){ie=new f(null),ie.length=me+1,ie.words=new Array(ie.length);for(var Se=0;Se<ie.length;Se++)ie.words[Se]=0}var Le=oe.clone()._ishlnsubmul(_e,1,me);Le.negative===0&&(oe=Le,ie&&(ie.words[me]=1));for(var Ae=me-1;Ae>=0;Ae--){var Fe=(oe.words[_e.length+Ae]|0)*67108864+(oe.words[_e.length+Ae-1]|0);for(Fe=Math.min(Fe/Ee|0,67108863),oe._ishlnsubmul(_e,Fe,Ae);oe.negative!==0;)Fe--,oe.negative=0,oe._ishlnsubmul(_e,1,Ae),oe.isZero()||(oe.negative^=1);ie&&(ie.words[Ae]=Fe)}return ie&&ie.strip(),oe.strip(),H!==\"div\"&&te!==0&&oe.iushrn(te),{div:ie||null,mod:oe}},f.prototype.divmod=function(N,H,te){if(u(!N.isZero()),this.isZero())return{div:new f(0),mod:new f(0)};var oe,_e,Ee;return this.negative!==0&&N.negative===0?(Ee=this.neg().divmod(N,H),H!==\"mod\"&&(oe=Ee.div.neg()),H!==\"div\"&&(_e=Ee.mod.neg(),te&&_e.negative!==0&&_e.iadd(N)),{div:oe,mod:_e}):this.negative===0&&N.negative!==0?(Ee=this.divmod(N.neg(),H),H!==\"mod\"&&(oe=Ee.div.neg()),{div:oe,mod:Ee.mod}):(this.negative&N.negative)!==0?(Ee=this.neg().divmod(N.neg(),H),H!==\"div\"&&(_e=Ee.mod.neg(),te&&_e.negative!==0&&_e.isub(N)),{div:Ee.div,mod:_e}):N.length>this.length||this.cmp(N)<0?{div:new f(0),mod:this}:N.length===1?H===\"div\"?{div:this.divn(N.words[0]),mod:null}:H===\"mod\"?{div:null,mod:new f(this.modn(N.words[0]))}:{div:this.divn(N.words[0]),mod:new f(this.modn(N.words[0]))}:this._wordDiv(N,H)},f.prototype.div=function(N){return this.divmod(N,\"div\",!1).div},f.prototype.mod=function(N){return this.divmod(N,\"mod\",!1).mod},f.prototype.umod=function(N){return this.divmod(N,\"mod\",!0).mod},f.prototype.divRound=function(N){var H=this.divmod(N);if(H.mod.isZero())return H.div;var te=H.div.negative!==0?H.mod.isub(N):H.mod,oe=N.ushrn(1),_e=N.andln(1),Ee=te.cmp(oe);return Ee<0||_e===1&&Ee===0?H.div:H.div.negative!==0?H.div.isubn(1):H.div.iaddn(1)},f.prototype.modn=function(N){u(N<=67108863);for(var H=(1<<26)%N,te=0,oe=this.length-1;oe>=0;oe--)te=(H*te+(this.words[oe]|0))%N;return te},f.prototype.idivn=function(N){u(N<=67108863);for(var H=0,te=this.length-1;te>=0;te--){var oe=(this.words[te]|0)+H*67108864;this.words[te]=oe/N|0,H=oe%N}return this.strip()},f.prototype.divn=function(N){return this.clone().idivn(N)},f.prototype.egcd=function(N){u(N.negative===0),u(!N.isZero());var H=this,te=N.clone();H.negative!==0?H=H.umod(N):H=H.clone();for(var oe=new f(1),_e=new f(0),Ee=new f(0),Ce=new f(1),me=0;H.isEven()&&te.isEven();)H.iushrn(1),te.iushrn(1),++me;for(var ie=te.clone(),Se=H.clone();!H.isZero();){for(var Le=0,Ae=1;(H.words[0]&Ae)===0&&Le<26;++Le,Ae<<=1);if(Le>0)for(H.iushrn(Le);Le-- >0;)(oe.isOdd()||_e.isOdd())&&(oe.iadd(ie),_e.isub(Se)),oe.iushrn(1),_e.iushrn(1);for(var Fe=0,Pe=1;(te.words[0]&Pe)===0&&Fe<26;++Fe,Pe<<=1);if(Fe>0)for(te.iushrn(Fe);Fe-- >0;)(Ee.isOdd()||Ce.isOdd())&&(Ee.iadd(ie),Ce.isub(Se)),Ee.iushrn(1),Ce.iushrn(1);H.cmp(te)>=0?(H.isub(te),oe.isub(Ee),_e.isub(Ce)):(te.isub(H),Ee.isub(oe),Ce.isub(_e))}return{a:Ee,b:Ce,gcd:te.iushln(me)}},f.prototype._invmp=function(N){u(N.negative===0),u(!N.isZero());var H=this,te=N.clone();H.negative!==0?H=H.umod(N):H=H.clone();for(var oe=new f(1),_e=new f(0),Ee=te.clone();H.cmpn(1)>0&&te.cmpn(1)>0;){for(var Ce=0,me=1;(H.words[0]&me)===0&&Ce<26;++Ce,me<<=1);if(Ce>0)for(H.iushrn(Ce);Ce-- >0;)oe.isOdd()&&oe.iadd(Ee),oe.iushrn(1);for(var ie=0,Se=1;(te.words[0]&Se)===0&&ie<26;++ie,Se<<=1);if(ie>0)for(te.iushrn(ie);ie-- >0;)_e.isOdd()&&_e.iadd(Ee),_e.iushrn(1);H.cmp(te)>=0?(H.isub(te),oe.isub(_e)):(te.isub(H),_e.isub(oe))}var Le;return H.cmpn(1)===0?Le=oe:Le=_e,Le.cmpn(0)<0&&Le.iadd(N),Le},f.prototype.gcd=function(N){if(this.isZero())return N.abs();if(N.isZero())return this.abs();var H=this.clone(),te=N.clone();H.negative=0,te.negative=0;for(var oe=0;H.isEven()&&te.isEven();oe++)H.iushrn(1),te.iushrn(1);do{for(;H.isEven();)H.iushrn(1);for(;te.isEven();)te.iushrn(1);var _e=H.cmp(te);if(_e<0){var Ee=H;H=te,te=Ee}else if(_e===0||te.cmpn(1)===0)break;H.isub(te)}while(!0);return te.iushln(oe)},f.prototype.invm=function(N){return this.egcd(N).a.umod(N)},f.prototype.isEven=function(){return(this.words[0]&1)===0},f.prototype.isOdd=function(){return(this.words[0]&1)===1},f.prototype.andln=function(N){return this.words[0]&N},f.prototype.bincn=function(N){u(typeof N==\"number\");var H=N%26,te=(N-H)/26,oe=1<<H;if(this.length<=te)return this._expand(te+1),this.words[te]|=oe,this;for(var _e=oe,Ee=te;_e!==0&&Ee<this.length;Ee++){var Ce=this.words[Ee]|0;Ce+=_e,_e=Ce>>>26,Ce&=67108863,this.words[Ee]=Ce}return _e!==0&&(this.words[Ee]=_e,this.length++),this},f.prototype.isZero=function(){return this.length===1&&this.words[0]===0},f.prototype.cmpn=function(N){var H=N<0;if(this.negative!==0&&!H)return-1;if(this.negative===0&&H)return 1;this.strip();var te;if(this.length>1)te=1;else{H&&(N=-N),u(N<=67108863,\"Number is too big\");var oe=this.words[0]|0;te=oe===N?0:oe<N?-1:1}return this.negative!==0?-te|0:te},f.prototype.cmp=function(N){if(this.negative!==0&&N.negative===0)return-1;if(this.negative===0&&N.negative!==0)return 1;var H=this.ucmp(N);return this.negative!==0?-H|0:H},f.prototype.ucmp=function(N){if(this.length>N.length)return 1;if(this.length<N.length)return-1;for(var H=0,te=this.length-1;te>=0;te--){var oe=this.words[te]|0,_e=N.words[te]|0;if(oe!==_e){oe<_e?H=-1:oe>_e&&(H=1);break}}return H},f.prototype.gtn=function(N){return this.cmpn(N)===1},f.prototype.gt=function(N){return this.cmp(N)===1},f.prototype.gten=function(N){return this.cmpn(N)>=0},f.prototype.gte=function(N){return this.cmp(N)>=0},f.prototype.ltn=function(N){return this.cmpn(N)===-1},f.prototype.lt=function(N){return this.cmp(N)===-1},f.prototype.lten=function(N){return this.cmpn(N)<=0},f.prototype.lte=function(N){return this.cmp(N)<=0},f.prototype.eqn=function(N){return this.cmpn(N)===0},f.prototype.eq=function(N){return this.cmp(N)===0},f.red=function(N){return new G(N)},f.prototype.toRed=function(N){return u(!this.red,\"Already a number in reduction context\"),u(this.negative===0,\"red works only with positives\"),N.convertTo(this)._forceRed(N)},f.prototype.fromRed=function(){return u(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},f.prototype._forceRed=function(N){return this.red=N,this},f.prototype.forceRed=function(N){return u(!this.red,\"Already a number in reduction context\"),this._forceRed(N)},f.prototype.redAdd=function(N){return u(this.red,\"redAdd works only with red numbers\"),this.red.add(this,N)},f.prototype.redIAdd=function(N){return u(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,N)},f.prototype.redSub=function(N){return u(this.red,\"redSub works only with red numbers\"),this.red.sub(this,N)},f.prototype.redISub=function(N){return u(this.red,\"redISub works only with red numbers\"),this.red.isub(this,N)},f.prototype.redShl=function(N){return u(this.red,\"redShl works only with red numbers\"),this.red.shl(this,N)},f.prototype.redMul=function(N){return u(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,N),this.red.mul(this,N)},f.prototype.redIMul=function(N){return u(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,N),this.red.imul(this,N)},f.prototype.redSqr=function(){return u(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},f.prototype.redISqr=function(){return u(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},f.prototype.redSqrt=function(){return u(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},f.prototype.redInvm=function(){return u(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},f.prototype.redNeg=function(){return u(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},f.prototype.redPow=function(N){return u(this.red&&!N.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,N)};var g={k256:null,p224:null,p192:null,p25519:null};function P(j,N){this.name=j,this.p=new f(N,16),this.n=this.p.bitLength(),this.k=new f(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}P.prototype._tmp=function(){var N=new f(null);return N.words=new Array(Math.ceil(this.n/13)),N},P.prototype.ireduce=function(N){var H=N,te;do this.split(H,this.tmp),H=this.imulK(H),H=H.iadd(this.tmp),te=H.bitLength();while(te>this.n);var oe=te<this.n?-1:H.ucmp(this.p);return oe===0?(H.words[0]=0,H.length=1):oe>0?H.isub(this.p):H.strip!==void 0?H.strip():H._strip(),H},P.prototype.split=function(N,H){N.iushrn(this.n,0,H)},P.prototype.imulK=function(N){return N.imul(this.k)};function T(){P.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}c(T,P),T.prototype.split=function(N,H){for(var te=4194303,oe=Math.min(N.length,9),_e=0;_e<oe;_e++)H.words[_e]=N.words[_e];if(H.length=oe,N.length<=9){N.words[0]=0,N.length=1;return}var Ee=N.words[9];for(H.words[H.length++]=Ee&te,_e=10;_e<N.length;_e++){var Ce=N.words[_e]|0;N.words[_e-10]=(Ce&te)<<4|Ee>>>22,Ee=Ce}Ee>>>=22,N.words[_e-10]=Ee,Ee===0&&N.length>10?N.length-=10:N.length-=9},T.prototype.imulK=function(N){N.words[N.length]=0,N.words[N.length+1]=0,N.length+=2;for(var H=0,te=0;te<N.length;te++){var oe=N.words[te]|0;H+=oe*977,N.words[te]=H&67108863,H=oe*64+(H/67108864|0)}return N.words[N.length-1]===0&&(N.length--,N.words[N.length-1]===0&&N.length--),N};function z(){P.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}c(z,P);function O(){P.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}c(O,P);function V(){P.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}c(V,P),V.prototype.imulK=function(N){for(var H=0,te=0;te<N.length;te++){var oe=(N.words[te]|0)*19+H,_e=oe&67108863;oe>>>=26,N.words[te]=_e,H=oe}return H!==0&&(N.words[N.length++]=H),N},f._prime=function(N){if(g[N])return g[N];var H;if(N===\"k256\")H=new T;else if(N===\"p224\")H=new z;else if(N===\"p192\")H=new O;else if(N===\"p25519\")H=new V;else throw new Error(\"Unknown prime \"+N);return g[N]=H,H};function G(j){if(typeof j==\"string\"){var N=f._prime(j);this.m=N.p,this.prime=N}else u(j.gtn(1),\"modulus must be greater than 1\"),this.m=j,this.prime=null}G.prototype._verify1=function(N){u(N.negative===0,\"red works only with positives\"),u(N.red,\"red works only with red numbers\")},G.prototype._verify2=function(N,H){u((N.negative|H.negative)===0,\"red works only with positives\"),u(N.red&&N.red===H.red,\"red works only with red numbers\")},G.prototype.imod=function(N){return this.prime?this.prime.ireduce(N)._forceRed(this):N.umod(this.m)._forceRed(this)},G.prototype.neg=function(N){return N.isZero()?N.clone():this.m.sub(N)._forceRed(this)},G.prototype.add=function(N,H){this._verify2(N,H);var te=N.add(H);return te.cmp(this.m)>=0&&te.isub(this.m),te._forceRed(this)},G.prototype.iadd=function(N,H){this._verify2(N,H);var te=N.iadd(H);return te.cmp(this.m)>=0&&te.isub(this.m),te},G.prototype.sub=function(N,H){this._verify2(N,H);var te=N.sub(H);return te.cmpn(0)<0&&te.iadd(this.m),te._forceRed(this)},G.prototype.isub=function(N,H){this._verify2(N,H);var te=N.isub(H);return te.cmpn(0)<0&&te.iadd(this.m),te},G.prototype.shl=function(N,H){return this._verify1(N),this.imod(N.ushln(H))},G.prototype.imul=function(N,H){return this._verify2(N,H),this.imod(N.imul(H))},G.prototype.mul=function(N,H){return this._verify2(N,H),this.imod(N.mul(H))},G.prototype.isqr=function(N){return this.imul(N,N.clone())},G.prototype.sqr=function(N){return this.mul(N,N)},G.prototype.sqrt=function(N){if(N.isZero())return N.clone();var H=this.m.andln(3);if(u(H%2===1),H===3){var te=this.m.add(new f(1)).iushrn(2);return this.pow(N,te)}for(var oe=this.m.subn(1),_e=0;!oe.isZero()&&oe.andln(1)===0;)_e++,oe.iushrn(1);u(!oe.isZero());var Ee=new f(1).toRed(this),Ce=Ee.redNeg(),me=this.m.subn(1).iushrn(1),ie=this.m.bitLength();for(ie=new f(2*ie*ie).toRed(this);this.pow(ie,me).cmp(Ce)!==0;)ie.redIAdd(Ce);for(var Se=this.pow(ie,oe),Le=this.pow(N,oe.addn(1).iushrn(1)),Ae=this.pow(N,oe),Fe=_e;Ae.cmp(Ee)!==0;){for(var Pe=Ae,ge=0;Pe.cmp(Ee)!==0;ge++)Pe=Pe.redSqr();u(ge<Fe);var Re=this.pow(Se,new f(1).iushln(Fe-ge-1));Le=Le.redMul(Re),Se=Re.redSqr(),Ae=Ae.redMul(Se),Fe=ge}return Le},G.prototype.invm=function(N){var H=N._invmp(this.m);return H.negative!==0?(H.negative=0,this.imod(H).redNeg()):this.imod(H)},G.prototype.pow=function(N,H){if(H.isZero())return new f(1).toRed(this);if(H.cmpn(1)===0)return N.clone();var te=4,oe=new Array(1<<te);oe[0]=new f(1).toRed(this),oe[1]=N;for(var _e=2;_e<oe.length;_e++)oe[_e]=this.mul(oe[_e-1],N);var Ee=oe[0],Ce=0,me=0,ie=H.bitLength()%26;for(ie===0&&(ie=26),_e=H.length-1;_e>=0;_e--){for(var Se=H.words[_e],Le=ie-1;Le>=0;Le--){var Ae=Se>>Le&1;if(Ee!==oe[0]&&(Ee=this.sqr(Ee)),Ae===0&&Ce===0){me=0;continue}Ce<<=1,Ce|=Ae,me++,!(me!==te&&(_e!==0||Le!==0))&&(Ee=this.mul(Ee,oe[Ce]),me=0,Ce=0)}ie=26}return Ee},G.prototype.convertTo=function(N){var H=N.umod(this.m);return H===N?H.clone():H},G.prototype.convertFrom=function(N){var H=N.clone();return H.red=null,H},f.mont=function(N){return new Z(N)};function Z(j){G.call(this,j),this.shift=this.m.bitLength(),this.shift%26!==0&&(this.shift+=26-this.shift%26),this.r=new 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g,P=s.mallocDouble(2*M*x),T=s.mallocInt32(x);if(x=f(k,M,P,T),x>0){if(M===1&&L)l.init(x),g=l.sweepComplete(M,S,0,x,P,T,0,x,P,T);else{var z=s.mallocDouble(2*M*C),O=s.mallocInt32(C);C=f(E,M,z,O),C>0&&(l.init(x+C),M===1?g=l.sweepBipartite(M,S,0,x,P,T,0,C,z,O):g=u(M,S,L,x,P,T,C,z,O),s.free(z),s.free(O))}s.free(P),s.free(T)}return g}}}var d;function v(k,E){d.push([k,E])}function _(k){return d=[],h(k,k,v,!0),d}function b(k,E){return d=[],h(k,E,v,!1),d}function p(k,E,S){switch(arguments.length){case 1:return _(k);case 2:return typeof E==\"function\"?h(k,k,E,!0):b(k,E);case 3:return h(k,E,S,!1);default:throw new Error(\"box-intersect: Invalid arguments\")}}},6894:function(i){i.exports=a;function a(o,s,l,u){var c=l[1],f=l[2],h=s[1]-c,d=s[2]-f,v=Math.sin(u),_=Math.cos(u);return o[0]=s[0],o[1]=c+h*_-d*v,o[2]=f+h*v+d*_,o}},7004:function(i){\"use strict\";i.exports=a;function a(o){for(var s=o.length,l=o[o.length-1],u=s,c=s-2;c>=0;--c){var f=l,h=o[c];l=f+h;var d=l-f,v=h-d;v&&(o[--u]=l,l=v)}for(var 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te=8*l.log2(H+1)*(N+1)|0,oe=l.nextPow2(M*te);T.length<oe&&(s.free(T),T=s.mallocInt32(oe));var _e=l.nextPow2(g*te);z.length<_e&&(s.free(z),z=s.mallocDouble(_e))}function V(N,H,te,oe,_e,Ee,Ce,me,ie){var Se=M*N;T[Se]=H,T[Se+1]=te,T[Se+2]=oe,T[Se+3]=_e,T[Se+4]=Ee,T[Se+5]=Ce;var Le=g*N;z[Le]=me,z[Le+1]=ie}function G(N,H,te,oe,_e,Ee,Ce,me,ie,Se,Le){var Ae=2*N,Fe=ie*Ae,Pe=Se[Fe+H];e:for(var ge=_e,Re=_e*Ae;ge<Ee;++ge,Re+=Ae){var ce=Ce[Re+H],Ze=Ce[Re+H+N];if(!(Pe<ce||Ze<Pe)&&!(oe&&Pe===ce)){for(var ut=me[ge],pt=H+1;pt<N;++pt){var ce=Ce[Re+pt],Ze=Ce[Re+pt+N],Zt=Se[Fe+pt],st=Se[Fe+pt+N];if(Ze<Zt||st<ce)continue e}var lt;if(oe?lt=te(Le,ut):lt=te(ut,Le),lt!==void 0)return lt}}}function Z(N,H,te,oe,_e,Ee,Ce,me,ie,Se){var Le=2*N,Ae=me*Le,Fe=ie[Ae+H];e:for(var Pe=oe,ge=oe*Le;Pe<_e;++Pe,ge+=Le){var Re=Ce[Pe];if(Re!==Se){var ce=Ee[ge+H],Ze=Ee[ge+H+N];if(!(Fe<ce||Ze<Fe)){for(var ut=H+1;ut<N;++ut){var ce=Ee[ge+ut],Ze=Ee[ge+ut+N],pt=ie[Ae+ut],Zt=ie[Ae+ut+N];if(Ze<pt||Zt<ce)continue e}var st=te(Re,Se);if(st!==void 0)return st}}}}function j(N,H,te,oe,_e,Ee,Ce,me,ie){O(N,oe+Ce);var Se=0,Le=2*N,Ae;for(V(Se++,0,0,oe,0,Ce,te?16:0,-1/0,1/0),te||V(Se++,0,0,Ce,0,oe,1,-1/0,1/0);Se>0;){Se-=1;var Fe=Se*M,Pe=T[Fe],ge=T[Fe+1],Re=T[Fe+2],ce=T[Fe+3],Ze=T[Fe+4],ut=T[Fe+5],pt=Se*g,Zt=z[pt],st=z[pt+1],lt=ut&1,Gt=!!(ut&16),Nt=_e,Jt=Ee,sr=me,wr=ie;if(lt&&(Nt=me,Jt=ie,sr=_e,wr=Ee),!(ut&2&&(Re=S(N,Pe,ge,Re,Nt,Jt,st),ge>=Re))&&!(ut&4&&(ge=L(N,Pe,ge,Re,Nt,Jt,Zt),ge>=Re))){var cr=Re-ge,$e=Ze-ce;if(Gt){if(N*cr*(cr+$e)<p){if(Ae=h.scanComplete(N,Pe,H,ge,Re,Nt,Jt,ce,Ze,sr,wr),Ae!==void 0)return Ae;continue}}else if(N*Math.min(cr,$e)<_){if(Ae=c(N,Pe,H,lt,ge,Re,Nt,Jt,ce,Ze,sr,wr),Ae!==void 0)return Ae;continue}else if(N*cr*$e<b){if(Ae=h.scanBipartite(N,Pe,H,lt,ge,Re,Nt,Jt,ce,Ze,sr,wr),Ae!==void 0)return Ae;continue}var St=k(N,Pe,ge,Re,Nt,Jt,Zt,st);if(ge<St)if(N*(St-ge)<_){if(Ae=f(N,Pe+1,H,ge,St,Nt,Jt,ce,Ze,sr,wr),Ae!==void 0)return Ae}else if(Pe===N-2){if(lt?Ae=h.sweepBipartite(N,H,ce,Ze,sr,wr,ge,St,Nt,Jt):Ae=h.sweepBipartite(N,H,ge,St,Nt,Jt,ce,Ze,sr,wr),Ae!==void 0)return Ae}else V(Se++,Pe+1,ge,St,ce,Ze,lt,-1/0,1/0),V(Se++,Pe+1,ce,Ze,ge,St,lt^1,-1/0,1/0);if(St<Re){var Qt=d(N,Pe,ce,Ze,sr,wr),Vt=sr[Le*Qt+Pe],_t=E(N,Pe,Qt,Ze,sr,wr,Vt);if(_t<Ze&&V(Se++,Pe,St,Re,_t,Ze,(lt|4)+(Gt?16:0),Vt,st),ce<Qt&&V(Se++,Pe,St,Re,ce,Qt,(lt|2)+(Gt?16:0),Zt,Vt),Qt+1===_t){if(Gt?Ae=Z(N,Pe,H,St,Re,Nt,Jt,Qt,sr,wr[Qt]):Ae=G(N,Pe,H,lt,St,Re,Nt,Jt,Qt,sr,wr[Qt]),Ae!==void 0)return Ae}else if(Qt<_t){var It;if(Gt){if(It=x(N,Pe,St,Re,Nt,Jt,Vt),St<It){var mt=E(N,Pe,St,It,Nt,Jt,Vt);if(Pe===N-2){if(St<mt&&(Ae=h.sweepComplete(N,H,St,mt,Nt,Jt,Qt,_t,sr,wr),Ae!==void 0)||mt<It&&(Ae=h.sweepBipartite(N,H,mt,It,Nt,Jt,Qt,_t,sr,wr),Ae!==void 0))return Ae}else St<mt&&V(Se++,Pe+1,St,mt,Qt,_t,16,-1/0,1/0),mt<It&&(V(Se++,Pe+1,mt,It,Qt,_t,0,-1/0,1/0),V(Se++,Pe+1,Qt,_t,mt,It,1,-1/0,1/0))}}else lt?It=C(N,Pe,St,Re,Nt,Jt,Vt):It=x(N,Pe,St,Re,Nt,Jt,Vt),St<It&&(Pe===N-2?lt?Ae=h.sweepBipartite(N,H,Qt,_t,sr,wr,St,It,Nt,Jt):Ae=h.sweepBipartite(N,H,St,It,Nt,Jt,Qt,_t,sr,wr):(V(Se++,Pe+1,St,It,Qt,_t,lt,-1/0,1/0),V(Se++,Pe+1,Qt,_t,St,It,lt^1,-1/0,1/0)))}}}}}},7163:function(i){i.exports=function(s){return s!=null&&(a(s)||o(s)||!!s._isBuffer)};function a(s){return!!s.constructor&&typeof s.constructor.isBuffer==\"function\"&&s.constructor.isBuffer(s)}function o(s){return typeof s.readFloatLE==\"function\"&&typeof s.slice==\"function\"&&a(s.slice(0,0))}},7169:function(i,a,o){\"use strict\";var s=typeof WeakMap==\"undefined\"?o(1538):WeakMap,l=o(2762),u=o(8116),c=new s;function f(h){var d=c.get(h),v=d&&(d._triangleBuffer.handle||d._triangleBuffer.buffer);if(!v||!h.isBuffer(v)){var _=l(h,new Float32Array([-1,-1,-1,4,4,-1]));d=u(h,[{buffer:_,type:h.FLOAT,size:2}]),d._triangleBuffer=_,c.set(h,d)}d.bind(),h.drawArrays(h.TRIANGLES,0,3),d.unbind()}i.exports=f},7182:function(i,a,o){var s={identity:o(7894),translate:o(7656),multiply:o(6760),create:o(6864),scale:o(2504),fromRotationTranslation:o(6743)},l=s.create(),u=s.create();i.exports=function(f,h,d,v,_,b){return s.identity(f),s.fromRotationTranslation(f,b,h),f[3]=_[0],f[7]=_[1],f[11]=_[2],f[15]=_[3],s.identity(u),v[2]!==0&&(u[9]=v[2],s.multiply(f,f,u)),v[1]!==0&&(u[9]=0,u[8]=v[1],s.multiply(f,f,u)),v[0]!==0&&(u[8]=0,u[4]=v[0],s.multiply(f,f,u)),s.scale(f,f,d),f}},7201:function(i,a,o){\"use strict\";var s=1e-6,l=1e-6,u=o(9405),c=o(2762),f=o(8116),h=o(7766),d=o(8406),v=o(6760),_=o(7608),b=o(9618),p=o(6729),k=o(7765),E=o(1888),S=o(840),L=o(7626),x=S.meshShader,C=S.wireShader,M=S.pointShader,g=S.pickShader,P=S.pointPickShader,T=S.contourShader,z=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function O(me,ie,Se,Le,Ae,Fe,Pe,ge,Re,ce,Ze,ut,pt,Zt,st,lt,Gt,Nt,Jt,sr,wr,cr,$e,St,Qt,Vt,_t){this.gl=me,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=ie,this.dirty=!0,this.triShader=Se,this.lineShader=Le,this.pointShader=Ae,this.pickShader=Fe,this.pointPickShader=Pe,this.contourShader=ge,this.trianglePositions=Re,this.triangleColors=Ze,this.triangleNormals=pt,this.triangleUVs=ut,this.triangleIds=ce,this.triangleVAO=Zt,this.triangleCount=0,this.lineWidth=1,this.edgePositions=st,this.edgeColors=Gt,this.edgeUVs=Nt,this.edgeIds=lt,this.edgeVAO=Jt,this.edgeCount=0,this.pointPositions=sr,this.pointColors=cr,this.pointUVs=$e,this.pointSizes=St,this.pointIds=wr,this.pointVAO=Qt,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=Vt,this.contourVAO=_t,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=z,this._view=z,this._projection=z,this._resolution=[1,1]}var V=O.prototype;V.isOpaque=function(){return!this.hasAlpha},V.isTransparent=function(){return this.hasAlpha},V.pickSlots=1,V.setPickBase=function(me){this.pickId=me};function G(me,ie){if(!ie||!ie.length)return 1;for(var Se=0;Se<ie.length;++Se){if(ie.length<2)return 1;if(ie[Se][0]===me)return ie[Se][1];if(ie[Se][0]>me&&Se>0){var Le=(ie[Se][0]-me)/(ie[Se][0]-ie[Se-1][0]);return ie[Se][1]*(1-Le)+Le*ie[Se-1][1]}}return 1}function Z(me,ie){for(var Se=p({colormap:me,nshades:256,format:\"rgba\"}),Le=new Uint8Array(256*4),Ae=0;Ae<256;++Ae){for(var Fe=Se[Ae],Pe=0;Pe<3;++Pe)Le[4*Ae+Pe]=Fe[Pe];ie?Le[4*Ae+3]=255*G(Ae/255,ie):Le[4*Ae+3]=255*Fe[3]}return b(Le,[256,256,4],[4,0,1])}function j(me){for(var ie=me.length,Se=new Array(ie),Le=0;Le<ie;++Le)Se[Le]=me[Le][2];return Se}V.highlight=function(me){if(!me||!this.contourEnable){this.contourCount=0;return}for(var ie=k(this.cells,this.intensity,me.intensity),Se=ie.cells,Le=ie.vertexIds,Ae=ie.vertexWeights,Fe=Se.length,Pe=E.mallocFloat32(2*3*Fe),ge=0,Re=0;Re<Fe;++Re)for(var ce=Se[Re],Ze=0;Ze<2;++Ze){var ut=ce[0];ce.length===2&&(ut=ce[Ze]);for(var pt=Le[ut][0],Zt=Le[ut][1],st=Ae[ut],lt=1-st,Gt=this.positions[pt],Nt=this.positions[Zt],Jt=0;Jt<3;++Jt)Pe[ge++]=st*Gt[Jt]+lt*Nt[Jt]}this.contourCount=ge/3|0,this.contourPositions.update(Pe.subarray(0,ge)),E.free(Pe)},V.update=function(me){me=me||{};var ie=this.gl;this.dirty=!0,\"contourEnable\"in me&&(this.contourEnable=me.contourEnable),\"contourColor\"in me&&(this.contourColor=me.contourColor),\"lineWidth\"in me&&(this.lineWidth=me.lineWidth),\"lightPosition\"in me&&(this.lightPosition=me.lightPosition),this.hasAlpha=!1,\"opacity\"in me&&(this.opacity=me.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in me&&(this.opacityscale=me.opacityscale,this.hasAlpha=!0),\"ambient\"in me&&(this.ambientLight=me.ambient),\"diffuse\"in me&&(this.diffuseLight=me.diffuse),\"specular\"in me&&(this.specularLight=me.specular),\"roughness\"in me&&(this.roughness=me.roughness),\"fresnel\"in me&&(this.fresnel=me.fresnel),me.texture?(this.texture.dispose(),this.texture=h(ie,me.texture)):me.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=ie.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=ie.LINEAR,this.texture.setPixels(Z(me.colormap,this.opacityscale)),this.texture.generateMipmap());var Se=me.cells,Le=me.positions;if(!(!Le||!Se)){var Ae=[],Fe=[],Pe=[],ge=[],Re=[],ce=[],Ze=[],ut=[],pt=[],Zt=[],st=[],lt=[],Gt=[],Nt=[];this.cells=Se,this.positions=Le;var Jt=me.vertexNormals,sr=me.cellNormals,wr=me.vertexNormalsEpsilon===void 0?s:me.vertexNormalsEpsilon,cr=me.faceNormalsEpsilon===void 0?l:me.faceNormalsEpsilon;me.useFacetNormals&&!sr&&(sr=d.faceNormals(Se,Le,cr)),!sr&&!Jt&&(Jt=d.vertexNormals(Se,Le,wr));var $e=me.vertexColors,St=me.cellColors,Qt=me.meshColor||[1,1,1,1],Vt=me.vertexUVs,_t=me.vertexIntensity,It=me.cellUVs,mt=me.cellIntensity,er=1/0,lr=-1/0;if(!Vt&&!It)if(_t)if(me.vertexIntensityBounds)er=+me.vertexIntensityBounds[0],lr=+me.vertexIntensityBounds[1];else for(var Tr=0;Tr<_t.length;++Tr){var Lr=_t[Tr];er=Math.min(er,Lr),lr=Math.max(lr,Lr)}else if(mt)if(me.cellIntensityBounds)er=+me.cellIntensityBounds[0],lr=+me.cellIntensityBounds[1];else for(var Tr=0;Tr<mt.length;++Tr){var Lr=mt[Tr];er=Math.min(er,Lr),lr=Math.max(lr,Lr)}else for(var Tr=0;Tr<Le.length;++Tr){var Lr=Le[Tr][2];er=Math.min(er,Lr),lr=Math.max(lr,Lr)}_t?this.intensity=_t:mt?this.intensity=mt:this.intensity=j(Le),this.pickVertex=!(mt||St);var ti=me.pointSizes,Br=me.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(var Tr=0;Tr<Le.length;++Tr)for(var Vr=Le[Tr],dt=0;dt<3;++dt)isNaN(Vr[dt])||!isFinite(Vr[dt])||(this.bounds[0][dt]=Math.min(this.bounds[0][dt],Vr[dt]),this.bounds[1][dt]=Math.max(this.bounds[1][dt],Vr[dt]));var Ge=0,Je=0,je=0;e:for(var Tr=0;Tr<Se.length;++Tr){var tt=Se[Tr];switch(tt.length){case 1:for(var xt=tt[0],Vr=Le[xt],dt=0;dt<3;++dt)if(isNaN(Vr[dt])||!isFinite(Vr[dt]))continue e;Zt.push(Vr[0],Vr[1],Vr[2]);var Ie;$e?Ie=$e[xt]:St?Ie=St[Tr]:Ie=Qt,this.opacityscale&&_t?Fe.push(Ie[0],Ie[1],Ie[2],this.opacity*G((_t[xt]-er)/(lr-er),this.opacityscale)):Ie.length===3?st.push(Ie[0],Ie[1],Ie[2],this.opacity):(st.push(Ie[0],Ie[1],Ie[2],Ie[3]*this.opacity),Ie[3]<1&&(this.hasAlpha=!0));var xe;Vt?xe=Vt[xt]:_t?xe=[(_t[xt]-er)/(lr-er),0]:It?xe=It[Tr]:mt?xe=[(mt[Tr]-er)/(lr-er),0]:xe=[(Vr[2]-er)/(lr-er),0],lt.push(xe[0],xe[1]),ti?Gt.push(ti[xt]):Gt.push(Br),Nt.push(Tr),je+=1;break;case 2:for(var dt=0;dt<2;++dt)for(var xt=tt[dt],Vr=Le[xt],ke=0;ke<3;++ke)if(isNaN(Vr[ke])||!isFinite(Vr[ke]))continue e;for(var dt=0;dt<2;++dt){var xt=tt[dt],Vr=Le[xt];ce.push(Vr[0],Vr[1],Vr[2]);var Ie;$e?Ie=$e[xt]:St?Ie=St[Tr]:Ie=Qt,this.opacityscale&&_t?Fe.push(Ie[0],Ie[1],Ie[2],this.opacity*G((_t[xt]-er)/(lr-er),this.opacityscale)):Ie.length===3?Ze.push(Ie[0],Ie[1],Ie[2],this.opacity):(Ze.push(Ie[0],Ie[1],Ie[2],Ie[3]*this.opacity),Ie[3]<1&&(this.hasAlpha=!0));var xe;Vt?xe=Vt[xt]:_t?xe=[(_t[xt]-er)/(lr-er),0]:It?xe=It[Tr]:mt?xe=[(mt[Tr]-er)/(lr-er),0]:xe=[(Vr[2]-er)/(lr-er),0],ut.push(xe[0],xe[1]),pt.push(Tr)}Je+=1;break;case 3:for(var dt=0;dt<3;++dt)for(var xt=tt[dt],Vr=Le[xt],ke=0;ke<3;++ke)if(isNaN(Vr[ke])||!isFinite(Vr[ke]))continue e;for(var dt=0;dt<3;++dt){var xt=tt[2-dt],Vr=Le[xt];Ae.push(Vr[0],Vr[1],Vr[2]);var Ie;$e?Ie=$e[xt]:St?Ie=St[Tr]:Ie=Qt,Ie?this.opacityscale&&_t?Fe.push(Ie[0],Ie[1],Ie[2],this.opacity*G((_t[xt]-er)/(lr-er),this.opacityscale)):Ie.length===3?Fe.push(Ie[0],Ie[1],Ie[2],this.opacity):(Fe.push(Ie[0],Ie[1],Ie[2],Ie[3]*this.opacity),Ie[3]<1&&(this.hasAlpha=!0)):Fe.push(.5,.5,.5,1);var xe;Vt?xe=Vt[xt]:_t?xe=[(_t[xt]-er)/(lr-er),0]:It?xe=It[Tr]:mt?xe=[(mt[Tr]-er)/(lr-er),0]:xe=[(Vr[2]-er)/(lr-er),0],ge.push(xe[0],xe[1]);var vt;Jt?vt=Jt[xt]:vt=sr[Tr],Pe.push(vt[0],vt[1],vt[2]),Re.push(Tr)}Ge+=1;break;default:break}}this.pointCount=je,this.edgeCount=Je,this.triangleCount=Ge,this.pointPositions.update(Zt),this.pointColors.update(st),this.pointUVs.update(lt),this.pointSizes.update(Gt),this.pointIds.update(new Uint32Array(Nt)),this.edgePositions.update(ce),this.edgeColors.update(Ze),this.edgeUVs.update(ut),this.edgeIds.update(new Uint32Array(pt)),this.trianglePositions.update(Ae),this.triangleColors.update(Fe),this.triangleUVs.update(ge),this.triangleNormals.update(Pe),this.triangleIds.update(new Uint32Array(Re))}},V.drawTransparent=V.draw=function(me){me=me||{};for(var ie=this.gl,Se=me.model||z,Le=me.view||z,Ae=me.projection||z,Fe=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],Pe=0;Pe<3;++Pe)Fe[0][Pe]=Math.max(Fe[0][Pe],this.clipBounds[0][Pe]),Fe[1][Pe]=Math.min(Fe[1][Pe],this.clipBounds[1][Pe]);var ge={model:Se,view:Le,projection:Ae,inverseModel:z.slice(),clipBounds:Fe,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};ge.inverseModel=_(ge.inverseModel,ge.model),ie.disable(ie.CULL_FACE),this.texture.bind(0);var Re=new Array(16);v(Re,ge.view,ge.model),v(Re,ge.projection,Re),_(Re,Re);for(var Pe=0;Pe<3;++Pe)ge.eyePosition[Pe]=Re[12+Pe]/Re[15];for(var ce=Re[15],Pe=0;Pe<3;++Pe)ce+=this.lightPosition[Pe]*Re[4*Pe+3];for(var Pe=0;Pe<3;++Pe){for(var Ze=Re[12+Pe],ut=0;ut<3;++ut)Ze+=Re[4*ut+Pe]*this.lightPosition[ut];ge.lightPosition[Pe]=Ze/ce}if(this.triangleCount>0){var pt=this.triShader;pt.bind(),pt.uniforms=ge,this.triangleVAO.bind(),ie.drawArrays(ie.TRIANGLES,0,this.triangleCount*3),this.triangleVAO.unbind()}if(this.edgeCount>0&&this.lineWidth>0){var pt=this.lineShader;pt.bind(),pt.uniforms=ge,this.edgeVAO.bind(),ie.lineWidth(this.lineWidth*this.pixelRatio),ie.drawArrays(ie.LINES,0,this.edgeCount*2),this.edgeVAO.unbind()}if(this.pointCount>0){var pt=this.pointShader;pt.bind(),pt.uniforms=ge,this.pointVAO.bind(),ie.drawArrays(ie.POINTS,0,this.pointCount),this.pointVAO.unbind()}if(this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0){var pt=this.contourShader;pt.bind(),pt.uniforms=ge,this.contourVAO.bind(),ie.drawArrays(ie.LINES,0,this.contourCount),this.contourVAO.unbind()}},V.drawPick=function(me){me=me||{};for(var ie=this.gl,Se=me.model||z,Le=me.view||z,Ae=me.projection||z,Fe=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],Pe=0;Pe<3;++Pe)Fe[0][Pe]=Math.max(Fe[0][Pe],this.clipBounds[0][Pe]),Fe[1][Pe]=Math.min(Fe[1][Pe],this.clipBounds[1][Pe]);this._model=[].slice.call(Se),this._view=[].slice.call(Le),this._projection=[].slice.call(Ae),this._resolution=[ie.drawingBufferWidth,ie.drawingBufferHeight];var ge={model:Se,view:Le,projection:Ae,clipBounds:Fe,pickId:this.pickId/255},Re=this.pickShader;if(Re.bind(),Re.uniforms=ge,this.triangleCount>0&&(this.triangleVAO.bind(),ie.drawArrays(ie.TRIANGLES,0,this.triangleCount*3),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),ie.lineWidth(this.lineWidth*this.pixelRatio),ie.drawArrays(ie.LINES,0,this.edgeCount*2),this.edgeVAO.unbind()),this.pointCount>0){var Re=this.pointPickShader;Re.bind(),Re.uniforms=ge,this.pointVAO.bind(),ie.drawArrays(ie.POINTS,0,this.pointCount),this.pointVAO.unbind()}},V.pick=function(me){if(!me||me.id!==this.pickId)return null;for(var ie=me.value[0]+256*me.value[1]+65536*me.value[2],Se=this.cells[ie],Le=this.positions,Ae=new Array(Se.length),Fe=0;Fe<Se.length;++Fe)Ae[Fe]=Le[Se[Fe]];var Pe=me.coord[0],ge=me.coord[1];if(!this.pickVertex){var Re=this.positions[Se[0]],ce=this.positions[Se[1]],Ze=this.positions[Se[2]],ut=[(Re[0]+ce[0]+Ze[0])/3,(Re[1]+ce[1]+Ze[1])/3,(Re[2]+ce[2]+Ze[2])/3];return{_cellCenter:!0,position:[Pe,ge],index:ie,cell:Se,cellId:ie,intensity:this.intensity[ie],dataCoordinate:ut}}var pt=L(Ae,[Pe*this.pixelRatio,this._resolution[1]-ge*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!pt)return null;for(var Zt=pt[2],st=0,Fe=0;Fe<Se.length;++Fe)st+=Zt[Fe]*this.intensity[Se[Fe]];return{position:pt[1],index:Se[pt[0]],cell:Se,cellId:ie,intensity:st,dataCoordinate:this.positions[Se[pt[0]]]}},V.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()};function N(me){var ie=u(me,x.vertex,x.fragment);return ie.attributes.position.location=0,ie.attributes.color.location=2,ie.attributes.uv.location=3,ie.attributes.normal.location=4,ie}function H(me){var ie=u(me,C.vertex,C.fragment);return ie.attributes.position.location=0,ie.attributes.color.location=2,ie.attributes.uv.location=3,ie}function te(me){var ie=u(me,M.vertex,M.fragment);return ie.attributes.position.location=0,ie.attributes.color.location=2,ie.attributes.uv.location=3,ie.attributes.pointSize.location=4,ie}function oe(me){var ie=u(me,g.vertex,g.fragment);return ie.attributes.position.location=0,ie.attributes.id.location=1,ie}function _e(me){var ie=u(me,P.vertex,P.fragment);return ie.attributes.position.location=0,ie.attributes.id.location=1,ie.attributes.pointSize.location=4,ie}function Ee(me){var ie=u(me,T.vertex,T.fragment);return ie.attributes.position.location=0,ie}function Ce(me,ie){arguments.length===1&&(ie=me,me=ie.gl);var Se=me.getExtension(\"OES_standard_derivatives\")||me.getExtension(\"MOZ_OES_standard_derivatives\")||me.getExtension(\"WEBKIT_OES_standard_derivatives\");if(!Se)throw new Error(\"derivatives not supported\");var Le=N(me),Ae=H(me),Fe=te(me),Pe=oe(me),ge=_e(me),Re=Ee(me),ce=h(me,b(new Uint8Array([255,255,255,255]),[1,1,4]));ce.generateMipmap(),ce.minFilter=me.LINEAR_MIPMAP_LINEAR,ce.magFilter=me.LINEAR;var Ze=c(me),ut=c(me),pt=c(me),Zt=c(me),st=c(me),lt=f(me,[{buffer:Ze,type:me.FLOAT,size:3},{buffer:st,type:me.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:ut,type:me.FLOAT,size:4},{buffer:pt,type:me.FLOAT,size:2},{buffer:Zt,type:me.FLOAT,size:3}]),Gt=c(me),Nt=c(me),Jt=c(me),sr=c(me),wr=f(me,[{buffer:Gt,type:me.FLOAT,size:3},{buffer:sr,type:me.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:Nt,type:me.FLOAT,size:4},{buffer:Jt,type:me.FLOAT,size:2}]),cr=c(me),$e=c(me),St=c(me),Qt=c(me),Vt=c(me),_t=f(me,[{buffer:cr,type:me.FLOAT,size:3},{buffer:Vt,type:me.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:$e,type:me.FLOAT,size:4},{buffer:St,type:me.FLOAT,size:2},{buffer:Qt,type:me.FLOAT,size:1}]),It=c(me),mt=f(me,[{buffer:It,type:me.FLOAT,size:3}]),er=new O(me,ce,Le,Ae,Fe,Pe,ge,Re,Ze,st,ut,pt,Zt,lt,Gt,sr,Nt,Jt,wr,cr,Vt,$e,St,Qt,_t,It,mt);return er.update(ie),er}i.exports=Ce},7261:function(i,a,o){\"use strict\";i.exports=E;var s=o(9215),l=o(7608),u=o(6079),c=o(5911),f=o(3536),h=o(244);function d(S,L,x){return Math.sqrt(Math.pow(S,2)+Math.pow(L,2)+Math.pow(x,2))}function v(S){return Math.min(1,Math.max(-1,S))}function _(S){var L=Math.abs(S[0]),x=Math.abs(S[1]),C=Math.abs(S[2]),M=[0,0,0];L>Math.max(x,C)?M[2]=1:x>Math.max(L,C)?M[0]=1:M[1]=1;for(var g=0,P=0,T=0;T<3;++T)g+=S[T]*S[T],P+=M[T]*S[T];for(var T=0;T<3;++T)M[T]-=P/g*S[T];return f(M,M),M}function b(S,L,x,C,M,g,P,T){this.center=s(x),this.up=s(C),this.right=s(M),this.radius=s([g]),this.angle=s([P,T]),this.angle.bounds=[[-1/0,-Math.PI/2],[1/0,Math.PI/2]],this.setDistanceLimits(S,L),this.computedCenter=this.center.curve(0),this.computedUp=this.up.curve(0),this.computedRight=this.right.curve(0),this.computedRadius=this.radius.curve(0),this.computedAngle=this.angle.curve(0),this.computedToward=[0,0,0],this.computedEye=[0,0,0],this.computedMatrix=new Array(16);for(var z=0;z<16;++z)this.computedMatrix[z]=.5;this.recalcMatrix(0)}var p=b.prototype;p.setDistanceLimits=function(S,L){S>0?S=Math.log(S):S=-1/0,L>0?L=Math.log(L):L=1/0,L=Math.max(L,S),this.radius.bounds[0][0]=S,this.radius.bounds[1][0]=L},p.getDistanceLimits=function(S){var L=this.radius.bounds[0];return S?(S[0]=Math.exp(L[0][0]),S[1]=Math.exp(L[1][0]),S):[Math.exp(L[0][0]),Math.exp(L[1][0])]},p.recalcMatrix=function(S){this.center.curve(S),this.up.curve(S),this.right.curve(S),this.radius.curve(S),this.angle.curve(S);for(var L=this.computedUp,x=this.computedRight,C=0,M=0,g=0;g<3;++g)M+=L[g]*x[g],C+=L[g]*L[g];for(var P=Math.sqrt(C),T=0,g=0;g<3;++g)x[g]-=L[g]*M/C,T+=x[g]*x[g],L[g]/=P;for(var z=Math.sqrt(T),g=0;g<3;++g)x[g]/=z;var O=this.computedToward;c(O,L,x),f(O,O);for(var V=Math.exp(this.computedRadius[0]),G=this.computedAngle[0],Z=this.computedAngle[1],j=Math.cos(G),N=Math.sin(G),H=Math.cos(Z),te=Math.sin(Z),oe=this.computedCenter,_e=j*H,Ee=N*H,Ce=te,me=-j*te,ie=-N*te,Se=H,Le=this.computedEye,Ae=this.computedMatrix,g=0;g<3;++g){var Fe=_e*x[g]+Ee*O[g]+Ce*L[g];Ae[4*g+1]=me*x[g]+ie*O[g]+Se*L[g],Ae[4*g+2]=Fe,Ae[4*g+3]=0}var Pe=Ae[1],ge=Ae[5],Re=Ae[9],ce=Ae[2],Ze=Ae[6],ut=Ae[10],pt=ge*ut-Re*Ze,Zt=Re*ce-Pe*ut,st=Pe*Ze-ge*ce,lt=d(pt,Zt,st);pt/=lt,Zt/=lt,st/=lt,Ae[0]=pt,Ae[4]=Zt,Ae[8]=st;for(var g=0;g<3;++g)Le[g]=oe[g]+Ae[2+4*g]*V;for(var g=0;g<3;++g){for(var T=0,Gt=0;Gt<3;++Gt)T+=Ae[g+4*Gt]*Le[Gt];Ae[12+g]=-T}Ae[15]=1},p.getMatrix=function(S,L){this.recalcMatrix(S);var x=this.computedMatrix;if(L){for(var C=0;C<16;++C)L[C]=x[C];return L}return x};var k=[0,0,0];p.rotate=function(S,L,x,C){if(this.angle.move(S,L,x),C){this.recalcMatrix(S);var M=this.computedMatrix;k[0]=M[2],k[1]=M[6],k[2]=M[10];for(var g=this.computedUp,P=this.computedRight,T=this.computedToward,z=0;z<3;++z)M[4*z]=g[z],M[4*z+1]=P[z],M[4*z+2]=T[z];u(M,M,C,k);for(var z=0;z<3;++z)g[z]=M[4*z],P[z]=M[4*z+1];this.up.set(S,g[0],g[1],g[2]),this.right.set(S,P[0],P[1],P[2])}},p.pan=function(S,L,x,C){L=L||0,x=x||0,C=C||0,this.recalcMatrix(S);var M=this.computedMatrix,g=Math.exp(this.computedRadius[0]),P=M[1],T=M[5],z=M[9],O=d(P,T,z);P/=O,T/=O,z/=O;var V=M[0],G=M[4],Z=M[8],j=V*P+G*T+Z*z;V-=P*j,G-=T*j,Z-=z*j;var N=d(V,G,Z);V/=N,G/=N,Z/=N;var H=V*L+P*x,te=G*L+T*x,oe=Z*L+z*x;this.center.move(S,H,te,oe);var _e=Math.exp(this.computedRadius[0]);_e=Math.max(1e-4,_e+C),this.radius.set(S,Math.log(_e))},p.translate=function(S,L,x,C){this.center.move(S,L||0,x||0,C||0)},p.setMatrix=function(S,L,x,C){var M=1;typeof x==\"number\"&&(M=x|0),(M<0||M>3)&&(M=1);var g=(M+2)%3,P=(M+1)%3;L||(this.recalcMatrix(S),L=this.computedMatrix);var T=L[M],z=L[M+4],O=L[M+8];if(C){var G=Math.abs(T),Z=Math.abs(z),j=Math.abs(O),N=Math.max(G,Z,j);G===N?(T=T<0?-1:1,z=O=0):j===N?(O=O<0?-1:1,T=z=0):(z=z<0?-1:1,T=O=0)}else{var V=d(T,z,O);T/=V,z/=V,O/=V}var H=L[g],te=L[g+4],oe=L[g+8],_e=H*T+te*z+oe*O;H-=T*_e,te-=z*_e,oe-=O*_e;var Ee=d(H,te,oe);H/=Ee,te/=Ee,oe/=Ee;var Ce=z*oe-O*te,me=O*H-T*oe,ie=T*te-z*H,Se=d(Ce,me,ie);Ce/=Se,me/=Se,ie/=Se,this.center.jump(S,cr,$e,St),this.radius.idle(S),this.up.jump(S,T,z,O),this.right.jump(S,H,te,oe);var Le,Ae;if(M===2){var Fe=L[1],Pe=L[5],ge=L[9],Re=Fe*H+Pe*te+ge*oe,ce=Fe*Ce+Pe*me+ge*ie;Zt<0?Le=-Math.PI/2:Le=Math.PI/2,Ae=Math.atan2(ce,Re)}else{var Ze=L[2],ut=L[6],pt=L[10],Zt=Ze*T+ut*z+pt*O,st=Ze*H+ut*te+pt*oe,lt=Ze*Ce+ut*me+pt*ie;Le=Math.asin(v(Zt)),Ae=Math.atan2(lt,st)}this.angle.jump(S,Ae,Le),this.recalcMatrix(S);var Gt=L[2],Nt=L[6],Jt=L[10],sr=this.computedMatrix;l(sr,L);var wr=sr[15],cr=sr[12]/wr,$e=sr[13]/wr,St=sr[14]/wr,Qt=Math.exp(this.computedRadius[0]);this.center.jump(S,cr-Gt*Qt,$e-Nt*Qt,St-Jt*Qt)},p.lastT=function(){return Math.max(this.center.lastT(),this.up.lastT(),this.right.lastT(),this.radius.lastT(),this.angle.lastT())},p.idle=function(S){this.center.idle(S),this.up.idle(S),this.right.idle(S),this.radius.idle(S),this.angle.idle(S)},p.flush=function(S){this.center.flush(S),this.up.flush(S),this.right.flush(S),this.radius.flush(S),this.angle.flush(S)},p.setDistance=function(S,L){L>0&&this.radius.set(S,Math.log(L))},p.lookAt=function(S,L,x,C){this.recalcMatrix(S),L=L||this.computedEye,x=x||this.computedCenter,C=C||this.computedUp;var M=C[0],g=C[1],P=C[2],T=d(M,g,P);if(!(T<1e-6)){M/=T,g/=T,P/=T;var z=L[0]-x[0],O=L[1]-x[1],V=L[2]-x[2],G=d(z,O,V);if(!(G<1e-6)){z/=G,O/=G,V/=G;var Z=this.computedRight,j=Z[0],N=Z[1],H=Z[2],te=M*j+g*N+P*H;j-=te*M,N-=te*g,H-=te*P;var oe=d(j,N,H);if(!(oe<.01&&(j=g*V-P*O,N=P*z-M*V,H=M*O-g*z,oe=d(j,N,H),oe<1e-6))){j/=oe,N/=oe,H/=oe,this.up.set(S,M,g,P),this.right.set(S,j,N,H),this.center.set(S,x[0],x[1],x[2]),this.radius.set(S,Math.log(G));var _e=g*H-P*N,Ee=P*j-M*H,Ce=M*N-g*j,me=d(_e,Ee,Ce);_e/=me,Ee/=me,Ce/=me;var ie=M*z+g*O+P*V,Se=j*z+N*O+H*V,Le=_e*z+Ee*O+Ce*V,Ae=Math.asin(v(ie)),Fe=Math.atan2(Le,Se),Pe=this.angle._state,ge=Pe[Pe.length-1],Re=Pe[Pe.length-2];ge=ge%(2*Math.PI);var ce=Math.abs(ge+2*Math.PI-Fe),Ze=Math.abs(ge-Fe),ut=Math.abs(ge-2*Math.PI-Fe);ce<Ze&&(ge+=2*Math.PI),ut<Ze&&(ge-=2*Math.PI),this.angle.jump(this.angle.lastT(),ge,Re),this.angle.set(S,Fe,Ae)}}}};function E(S){S=S||{};var L=S.center||[0,0,0],x=S.up||[0,1,0],C=S.right||_(x),M=S.radius||1,g=S.theta||0,P=S.phi||0;if(L=[].slice.call(L,0,3),x=[].slice.call(x,0,3),f(x,x),C=[].slice.call(C,0,3),f(C,C),\"eye\"in S){var T=S.eye,z=[T[0]-L[0],T[1]-L[1],T[2]-L[2]];c(C,z,x),d(C[0],C[1],C[2])<1e-6?C=_(x):f(C,C),M=d(z[0],z[1],z[2]);var O=h(x,z)/M,V=h(C,z)/M;P=Math.acos(O),g=Math.acos(V)}return M=Math.log(M),new b(S.zoomMin,S.zoomMax,L,x,C,M,g,P)}},7319:function(i,a,o){var s=o(3236),l=o(9405),u=s([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "attribute vec3 position, nextPosition;\n",
       "attribute float arcLength, lineWidth;\n",
       "attribute vec4 color;\n",
       "\n",
       "uniform vec2 screenShape;\n",
       "uniform float pixelRatio;\n",
       "uniform mat4 model, view, projection;\n",
       "\n",
       "varying vec4 fragColor;\n",
       "varying vec3 worldPosition;\n",
       "varying float pixelArcLength;\n",
       "\n",
       "vec4 project(vec3 p) {\n",
       "  return projection * (view * (model * vec4(p, 1.0)));\n",
       "}\n",
       "\n",
       "void 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",
       "`]),c=s([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "bool outOfRange(float a, float b, float p) {\n",
       "  return ((p > max(a, b)) || \n",
       "          (p < min(a, b)));\n",
       "}\n",
       "\n",
       "bool 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",
       "\n",
       "bool 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",
       "\n",
       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
       "}\n",
       "\n",
       "uniform vec3      clipBounds[2];\n",
       "uniform sampler2D dashTexture;\n",
       "uniform float     dashScale;\n",
       "uniform float     opacity;\n",
       "\n",
       "varying vec3    worldPosition;\n",
       "varying float   pixelArcLength;\n",
       "varying vec4    fragColor;\n",
       "\n",
       "void 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",
       "`]),f=s([`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\n",
       "vec4 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",
       "\n",
       "bool outOfRange(float a, float b, float p) {\n",
       "  return ((p > max(a, b)) || \n",
       "          (p < min(a, b)));\n",
       "}\n",
       "\n",
       "bool 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",
       "\n",
       "bool 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",
       "\n",
       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
       "}\n",
       "\n",
       "uniform float pickId;\n",
       "uniform vec3 clipBounds[2];\n",
       "\n",
       "varying vec3 worldPosition;\n",
       "varying float pixelArcLength;\n",
       "varying vec4 fragColor;\n",
       "\n",
       "void main() {\n",
       "  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\n",
       "\n",
       "  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\n",
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ie=j[me].indexOf(G[0]);ie===-1?j[me]+=G:_e&&(j[me]=j[me].substr(0,ie+1)+(1+parseInt(j[me][ie+1]))+j[me].substr(ie+2))}var Se=Ee+te,Le=Z.substr(Se,Ce-Se),Ae=Le.indexOf(N);Ae!==-1?Ee=Ae:Ee=Ce+oe}return j}function M(V,G,Z){for(var j=G.textAlign||\"start\",N=G.textBaseline||\"alphabetic\",H=[1<<30,1<<30],te=[0,0],oe=V.length,_e=0;_e<oe;++_e)for(var Ee=V[_e],Ce=0;Ce<2;++Ce)H[Ce]=Math.min(H[Ce],Ee[Ce])|0,te[Ce]=Math.max(te[Ce],Ee[Ce])|0;var me=0;switch(j){case\"center\":me=-.5*(H[0]+te[0]);break;case\"right\":case\"end\":me=-te[0];break;case\"left\":case\"start\":me=-H[0];break;default:throw new Error(\"vectorize-text: Unrecognized textAlign: '\"+j+\"'\")}var ie=0;switch(N){case\"hanging\":case\"top\":ie=-H[1];break;case\"middle\":ie=-.5*(H[1]+te[1]);break;case\"alphabetic\":case\"ideographic\":ie=-3*Z;break;case\"bottom\":ie=-te[1];break;default:throw new Error(\"vectorize-text: Unrecoginized textBaseline: '\"+N+\"'\")}var Se=1/Z;return\"lineHeight\"in G?Se*=+G.lineHeight:\"width\"in 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G.triangles||G.triangulate||G.triangle?{cells:f(H,te,{delaunay:!1,exterior:!1,interior:!0}),positions:H}:{edges:te,positions:H}}function z(V,G,Z){try{return T(V,G,Z,!0)}catch(j){}try{return T(V,G,Z,!1)}catch(j){}return G.polygons||G.polyline||G.polygon?[]:G.triangles||G.triangulate||G.triangle?{cells:[],positions:[]}:{edges:[],positions:[]}}function O(V,G,Z,j){var N=64,H=1.25,te={breaklines:!1,bolds:!1,italics:!1,subscripts:!1,superscripts:!1};j&&(j.size&&j.size>0&&(N=j.size),j.lineSpacing&&j.lineSpacing>0&&(H=j.lineSpacing),j.styletags&&j.styletags.breaklines&&(te.breaklines=!!j.styletags.breaklines),j.styletags&&j.styletags.bolds&&(te.bolds=!!j.styletags.bolds),j.styletags&&j.styletags.italics&&(te.italics=!!j.styletags.italics),j.styletags&&j.styletags.subscripts&&(te.subscripts=!!j.styletags.subscripts),j.styletags&&j.styletags.superscripts&&(te.superscripts=!!j.styletags.superscripts)),Z.font=[j.fontStyle,j.fontVariant,j.fontWeight,N+\"px\",j.font].filter(function(_e){return _e}).join(\" \"),Z.textAlign=\"start\",Z.textBaseline=\"alphabetic\",Z.direction=\"ltr\";var oe=g(G,Z,V,N,H,te);return z(oe,j,N)}},7721:function(i,a,o){\"use strict\";var s=o(5716);i.exports=l;function l(u){return s(u[0])*s(u[1])}},7765:function(i,a,o){\"use strict\";i.exports=p;var s=o(9618),l=o(1888),u=o(446),c=o(1570);function f(k){for(var E=k.length,S=0,L=0;L<E;++L)S=Math.max(S,k[L].length)|0;return S-1}function h(k,E){for(var S=k.length,L=l.mallocUint8(S),x=0;x<S;++x)L[x]=k[x]<E|0;return L}function d(k,E){for(var S=k.length,L=E*(E+1)/2*S|0,x=l.mallocUint32(L*2),C=0,M=0;M<S;++M)for(var g=k[M],E=g.length,P=0;P<E;++P)for(var T=0;T<P;++T){var z=g[T],O=g[P];x[C++]=Math.min(z,O)|0,x[C++]=Math.max(z,O)|0}var V=C/2|0;u(s(x,[V,2]));for(var G=2,M=2;M<C;M+=2)x[M-2]===x[M]&&x[M-1]===x[M+1]||(x[G++]=x[M],x[G++]=x[M+1]);return s(x,[G/2|0,2])}function v(k,E,S,L){for(var x=k.data,C=k.shape[0],M=l.mallocDouble(C),g=0,P=0;P<C;++P){var T=x[2*P],z=x[2*P+1];if(S[T]!==S[z]){var O=E[T],V=E[z];x[2*g]=T,x[2*g+1]=z,M[g++]=(V-L)/(V-O)}}return k.shape[0]=g,s(M,[g])}function _(k,E){var S=l.mallocInt32(E*2),L=k.shape[0],x=k.data;S[0]=0;for(var C=0,M=0;M<L;++M){var g=x[2*M];if(g!==C){for(S[2*C+1]=M;++C<g;)S[2*C]=M,S[2*C+1]=M;S[2*C]=M}}for(S[2*C+1]=L;++C<E;)S[2*C]=S[2*C+1]=L;return S}function b(k){for(var E=k.shape[0]|0,S=k.data,L=new Array(E),x=0;x<E;++x)L[x]=[S[2*x],S[2*x+1]];return L}function p(k,E,S,L){S=S||0,typeof L==\"undefined\"&&(L=f(k));var x=k.length;if(x===0||L<1)return{cells:[],vertexIds:[],vertexWeights:[]};var C=h(E,+S),M=d(k,L),g=v(M,E,C,+S),P=_(M,E.length|0),T=c(L)(k,M.data,P,C),z=b(M),O=[].slice.call(g.data,0,g.shape[0]);return l.free(C),l.free(M.data),l.free(g.data),l.free(P),{cells:T,vertexIds:z,vertexWeights:O}}},7766:function(i,a,o){\"use strict\";var s=o(9618),l=o(5298),u=o(1888);i.exports=g;var c=null,f=null,h=null;function d(P){c=[P.LINEAR,P.NEAREST_MIPMAP_LINEAR,P.LINEAR_MIPMAP_NEAREST,P.LINEAR_MIPMAP_NEAREST],f=[P.NEAREST,P.LINEAR,P.NEAREST_MIPMAP_NEAREST,P.NEAREST_MIPMAP_LINEAR,P.LINEAR_MIPMAP_NEAREST,P.LINEAR_MIPMAP_LINEAR],h=[P.REPEAT,P.CLAMP_TO_EDGE,P.MIRRORED_REPEAT]}function v(P){return typeof HTMLCanvasElement!=\"undefined\"&&P instanceof HTMLCanvasElement||typeof HTMLImageElement!=\"undefined\"&&P instanceof HTMLImageElement||typeof HTMLVideoElement!=\"undefined\"&&P instanceof HTMLVideoElement||typeof ImageData!=\"undefined\"&&P instanceof ImageData}var _=function(P,T){l.muls(P,T,255)};function b(P,T,z){var O=P.gl,V=O.getParameter(O.MAX_TEXTURE_SIZE);if(T<0||T>V||z<0||z>V)throw new Error(\"gl-texture2d: Invalid texture size\");return P._shape=[T,z],P.bind(),O.texImage2D(O.TEXTURE_2D,0,P.format,T,z,0,P.format,P.type,null),P._mipLevels=[0],P}function p(P,T,z,O,V,G){this.gl=P,this.handle=T,this.format=V,this.type=G,this._shape=[z,O],this._mipLevels=[0],this._magFilter=P.NEAREST,this._minFilter=P.NEAREST,this._wrapS=P.CLAMP_TO_EDGE,this._wrapT=P.CLAMP_TO_EDGE,this._anisoSamples=1;var Z=this,j=[this._wrapS,this._wrapT];Object.defineProperties(j,[{get:function(){return Z._wrapS},set:function(H){return Z.wrapS=H}},{get:function(){return Z._wrapT},set:function(H){return Z.wrapT=H}}]),this._wrapVector=j;var N=[this._shape[0],this._shape[1]];Object.defineProperties(N,[{get:function(){return Z._shape[0]},set:function(H){return Z.width=H}},{get:function(){return Z._shape[1]},set:function(H){return Z.height=H}}]),this._shapeVector=N}var k=p.prototype;Object.defineProperties(k,{minFilter:{get:function(){return this._minFilter},set:function(P){this.bind();var T=this.gl;if(this.type===T.FLOAT&&c.indexOf(P)>=0&&(T.getExtension(\"OES_texture_float_linear\")||(P=T.NEAREST)),f.indexOf(P)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+P);return T.texParameteri(T.TEXTURE_2D,T.TEXTURE_MIN_FILTER,P),this._minFilter=P}},magFilter:{get:function(){return this._magFilter},set:function(P){this.bind();var T=this.gl;if(this.type===T.FLOAT&&c.indexOf(P)>=0&&(T.getExtension(\"OES_texture_float_linear\")||(P=T.NEAREST)),f.indexOf(P)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+P);return T.texParameteri(T.TEXTURE_2D,T.TEXTURE_MAG_FILTER,P),this._magFilter=P}},mipSamples:{get:function(){return this._anisoSamples},set:function(P){var T=this._anisoSamples;if(this._anisoSamples=Math.max(P,1)|0,T!==this._anisoSamples){var z=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");z&&this.gl.texParameterf(this.gl.TEXTURE_2D,z.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(P){if(this.bind(),h.indexOf(P)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+P);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,P),this._wrapS=P}},wrapT:{get:function(){return this._wrapT},set:function(P){if(this.bind(),h.indexOf(P)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+P);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,P),this._wrapT=P}},wrap:{get:function(){return this._wrapVector},set:function(P){if(Array.isArray(P)||(P=[P,P]),P.length!==2)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var T=0;T<2;++T)if(h.indexOf(P[T])<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+P);this._wrapS=P[0],this._wrapT=P[1];var z=this.gl;return this.bind(),z.texParameteri(z.TEXTURE_2D,z.TEXTURE_WRAP_S,this._wrapS),z.texParameteri(z.TEXTURE_2D,z.TEXTURE_WRAP_T,this._wrapT),P}},shape:{get:function(){return this._shapeVector},set:function(P){if(!Array.isArray(P))P=[P|0,P|0];else if(P.length!==2)throw new Error(\"gl-texture2d: Invalid texture shape\");return b(this,P[0]|0,P[1]|0),[P[0]|0,P[1]|0]}},width:{get:function(){return this._shape[0]},set:function(P){return P=P|0,b(this,P,this._shape[1]),P}},height:{get:function(){return this._shape[1]},set:function(P){return P=P|0,b(this,this._shape[0],P),P}}}),k.bind=function(P){var T=this.gl;return P!==void 0&&T.activeTexture(T.TEXTURE0+(P|0)),T.bindTexture(T.TEXTURE_2D,this.handle),P!==void 0?P|0:T.getParameter(T.ACTIVE_TEXTURE)-T.TEXTURE0},k.dispose=function(){this.gl.deleteTexture(this.handle)},k.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var P=Math.min(this._shape[0],this._shape[1]),T=0;P>0;++T,P>>>=1)this._mipLevels.indexOf(T)<0&&this._mipLevels.push(T)},k.setPixels=function(P,T,z,O){var V=this.gl;this.bind(),Array.isArray(T)?(O=z,z=T[1]|0,T=T[0]|0):(T=T||0,z=z||0),O=O||0;var G=v(P)?P:P.raw;if(G){var Z=this._mipLevels.indexOf(O)<0;Z?(V.texImage2D(V.TEXTURE_2D,0,this.format,this.format,this.type,G),this._mipLevels.push(O)):V.texSubImage2D(V.TEXTURE_2D,O,T,z,this.format,this.type,G)}else if(P.shape&&P.stride&&P.data){if(P.shape.length<2||T+P.shape[1]>this._shape[1]>>>O||z+P.shape[0]>this._shape[0]>>>O||T<0||z<0)throw new Error(\"gl-texture2d: Texture dimensions are out of bounds\");S(V,T,z,O,this.format,this.type,this._mipLevels,P)}else throw new Error(\"gl-texture2d: Unsupported data type\")};function E(P,T){return P.length===3?T[2]===1&&T[1]===P[0]*P[2]&&T[0]===P[2]:T[0]===1&&T[1]===P[0]}function S(P,T,z,O,V,G,Z,j){var N=j.dtype,H=j.shape.slice();if(H.length<2||H.length>3)throw new Error(\"gl-texture2d: Invalid ndarray, must be 2d or 3d\");var te=0,oe=0,_e=E(H,j.stride.slice());N===\"float32\"?te=P.FLOAT:N===\"float64\"?(te=P.FLOAT,_e=!1,N=\"float32\"):N===\"uint8\"?te=P.UNSIGNED_BYTE:(te=P.UNSIGNED_BYTE,_e=!1,N=\"uint8\");var Ee=1;if(H.length===2)oe=P.LUMINANCE,H=[H[0],H[1],1],j=s(j.data,H,[j.stride[0],j.stride[1],1],j.offset);else if(H.length===3){if(H[2]===1)oe=P.ALPHA;else if(H[2]===2)oe=P.LUMINANCE_ALPHA;else if(H[2]===3)oe=P.RGB;else if(H[2]===4)oe=P.RGBA;else throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");Ee=H[2]}else throw new Error(\"gl-texture2d: Invalid shape for texture\");if((oe===P.LUMINANCE||oe===P.ALPHA)&&(V===P.LUMINANCE||V===P.ALPHA)&&(oe=V),oe!==V)throw new Error(\"gl-texture2d: Incompatible texture format for setPixels\");var Ce=j.size,me=Z.indexOf(O)<0;if(me&&Z.push(O),te===G&&_e)j.offset===0&&j.data.length===Ce?me?P.texImage2D(P.TEXTURE_2D,O,V,H[0],H[1],0,V,G,j.data):P.texSubImage2D(P.TEXTURE_2D,O,T,z,H[0],H[1],V,G,j.data):me?P.texImage2D(P.TEXTURE_2D,O,V,H[0],H[1],0,V,G,j.data.subarray(j.offset,j.offset+Ce)):P.texSubImage2D(P.TEXTURE_2D,O,T,z,H[0],H[1],V,G,j.data.subarray(j.offset,j.offset+Ce));else{var ie;G===P.FLOAT?ie=u.mallocFloat32(Ce):ie=u.mallocUint8(Ce);var Se=s(ie,H,[H[2],H[2]*H[0],1]);te===P.FLOAT&&G===P.UNSIGNED_BYTE?_(Se,j):l.assign(Se,j),me?P.texImage2D(P.TEXTURE_2D,O,V,H[0],H[1],0,V,G,ie.subarray(0,Ce)):P.texSubImage2D(P.TEXTURE_2D,O,T,z,H[0],H[1],V,G,ie.subarray(0,Ce)),G===P.FLOAT?u.freeFloat32(ie):u.freeUint8(ie)}}function L(P){var T=P.createTexture();return P.bindTexture(P.TEXTURE_2D,T),P.texParameteri(P.TEXTURE_2D,P.TEXTURE_MIN_FILTER,P.NEAREST),P.texParameteri(P.TEXTURE_2D,P.TEXTURE_MAG_FILTER,P.NEAREST),P.texParameteri(P.TEXTURE_2D,P.TEXTURE_WRAP_S,P.CLAMP_TO_EDGE),P.texParameteri(P.TEXTURE_2D,P.TEXTURE_WRAP_T,P.CLAMP_TO_EDGE),T}function x(P,T,z,O,V){var G=P.getParameter(P.MAX_TEXTURE_SIZE);if(T<0||T>G||z<0||z>G)throw new Error(\"gl-texture2d: Invalid texture shape\");if(V===P.FLOAT&&!P.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var Z=L(P);return P.texImage2D(P.TEXTURE_2D,0,O,T,z,0,O,V,null),new p(P,Z,T,z,O,V)}function C(P,T,z,O,V,G){var Z=L(P);return P.texImage2D(P.TEXTURE_2D,0,V,V,G,T),new p(P,Z,z,O,V,G)}function M(P,T){var z=T.dtype,O=T.shape.slice(),V=P.getParameter(P.MAX_TEXTURE_SIZE);if(O[0]<0||O[0]>V||O[1]<0||O[1]>V)throw new Error(\"gl-texture2d: Invalid texture size\");var G=E(O,T.stride.slice()),Z=0;z===\"float32\"?Z=P.FLOAT:z===\"float64\"?(Z=P.FLOAT,G=!1,z=\"float32\"):z===\"uint8\"?Z=P.UNSIGNED_BYTE:(Z=P.UNSIGNED_BYTE,G=!1,z=\"uint8\");var j=0;if(O.length===2)j=P.LUMINANCE,O=[O[0],O[1],1],T=s(T.data,O,[T.stride[0],T.stride[1],1],T.offset);else if(O.length===3)if(O[2]===1)j=P.ALPHA;else if(O[2]===2)j=P.LUMINANCE_ALPHA;else if(O[2]===3)j=P.RGB;else if(O[2]===4)j=P.RGBA;else throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");else throw new Error(\"gl-texture2d: Invalid shape for texture\");Z===P.FLOAT&&!P.getExtension(\"OES_texture_float\")&&(Z=P.UNSIGNED_BYTE,G=!1);var N,H,te=T.size;if(G)T.offset===0&&T.data.length===te?N=T.data:N=T.data.subarray(T.offset,T.offset+te);else{var oe=[O[2],O[2]*O[0],1];H=u.malloc(te,z);var _e=s(H,O,oe,0);(z===\"float32\"||z===\"float64\")&&Z===P.UNSIGNED_BYTE?_(_e,T):l.assign(_e,T),N=H.subarray(0,te)}var Ee=L(P);return P.texImage2D(P.TEXTURE_2D,0,j,O[0],O[1],0,j,Z,N),G||u.free(H),new p(P,Ee,O[0],O[1],j,Z)}function g(P){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");if(c||d(P),typeof arguments[1]==\"number\")return x(P,arguments[1],arguments[2],arguments[3]||P.RGBA,arguments[4]||P.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return x(P,arguments[1][0]|0,arguments[1][1]|0,arguments[2]||P.RGBA,arguments[3]||P.UNSIGNED_BYTE);if(typeof arguments[1]==\"object\"){var T=arguments[1],z=v(T)?T:T.raw;if(z)return C(P,z,T.width|0,T.height|0,arguments[2]||P.RGBA,arguments[3]||P.UNSIGNED_BYTE);if(T.shape&&T.data&&T.stride)return M(P,T)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")}},7790:function(){},7815:function(i,a,o){\"use strict\";var s=o(2931),l=o(9970),u=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],c=function(S,L,x,C){for(var M=S.points,g=S.velocities,P=S.divergences,T=[],z=[],O=[],V=[],G=[],Z=[],j=0,N=0,H=l.create(),te=l.create(),oe=8,_e=0;_e<M.length;_e++){var Ee=M[_e],Ce=g[_e],me=P[_e];L===0&&(me=x*.05),N=s.length(Ce)/C,H=l.create(),s.copy(H,Ce),H[3]=me;for(var ie=0;ie<oe;ie++)G[ie]=[Ee[0],Ee[1],Ee[2],ie];if(V.length>0)for(var ie=0;ie<oe;ie++){var Se=(ie+1)%oe;T.push(V[ie],G[ie],G[Se],G[Se],V[Se],V[ie]),O.push(te,H,H,H,te,te),Z.push(j,N,N,N,j,j);var Le=T.length;z.push([Le-6,Le-5,Le-4],[Le-3,Le-2,Le-1])}var Ae=V;V=G,G=Ae;var Fe=te;te=H,H=Fe;var Pe=j;j=N,N=Pe}return{positions:T,cells:z,vectors:O,vertexIntensity:Z}},f=function(S,L,x,C){for(var M=0,g=0;g<S.length;g++)for(var P=S[g].velocities,T=0;T<P.length;T++)M=Math.max(M,s.length(P[T]));for(var z=S.map(function(_e){return c(_e,x,C,M)}),O=[],V=[],G=[],Z=[],g=0;g<z.length;g++){var j=z[g],N=O.length;O=O.concat(j.positions),G=G.concat(j.vectors),Z=Z.concat(j.vertexIntensity);for(var T=0;T<j.cells.length;T++){var H=j.cells[T],te=[];V.push(te);for(var oe=0;oe<H.length;oe++)te.push(H[oe]+N)}}return{positions:O,cells:V,vectors:G,vertexIntensity:Z,colormap:L}},h=function(S,L){var x=S.length,C;for(C=0;C<x;C++){var M=S[C];if(M===L)return C;if(M>L)return C-1}return C},d=function(S,L,x){return S<L?L:S>x?x:S},v=function(S,L,x){var C=L.vectors,M=L.meshgrid,g=S[0],P=S[1],T=S[2],z=M[0].length,O=M[1].length,V=M[2].length,G=h(M[0],g),Z=h(M[1],P),j=h(M[2],T),N=G+1,H=Z+1,te=j+1;if(G=d(G,0,z-1),N=d(N,0,z-1),Z=d(Z,0,O-1),H=d(H,0,O-1),j=d(j,0,V-1),te=d(te,0,V-1),G<0||Z<0||j<0||N>z-1||H>O-1||te>V-1)return s.create();var oe=M[0][G],_e=M[0][N],Ee=M[1][Z],Ce=M[1][H],me=M[2][j],ie=M[2][te],Se=(g-oe)/(_e-oe),Le=(P-Ee)/(Ce-Ee),Ae=(T-me)/(ie-me);isFinite(Se)||(Se=.5),isFinite(Le)||(Le=.5),isFinite(Ae)||(Ae=.5);var Fe,Pe,ge,Re,ce,Ze;switch(x.reversedX&&(G=z-1-G,N=z-1-N),x.reversedY&&(Z=O-1-Z,H=O-1-H),x.reversedZ&&(j=V-1-j,te=V-1-te),x.filled){case 5:ce=j,Ze=te,ge=Z*V,Re=H*V,Fe=G*V*O,Pe=N*V*O;break;case 4:ce=j,Ze=te,Fe=G*V,Pe=N*V,ge=Z*V*z,Re=H*V*z;break;case 3:ge=Z,Re=H,ce=j*O,Ze=te*O,Fe=G*O*V,Pe=N*O*V;break;case 2:ge=Z,Re=H,Fe=G*O,Pe=N*O,ce=j*O*z,Ze=te*O*z;break;case 1:Fe=G,Pe=N,ce=j*z,Ze=te*z,ge=Z*z*V,Re=H*z*V;break;default:Fe=G,Pe=N,ge=Z*z,Re=H*z,ce=j*z*O,Ze=te*z*O;break}var ut=C[Fe+ge+ce],pt=C[Fe+ge+Ze],Zt=C[Fe+Re+ce],st=C[Fe+Re+Ze],lt=C[Pe+ge+ce],Gt=C[Pe+ge+Ze],Nt=C[Pe+Re+ce],Jt=C[Pe+Re+Ze],sr=s.create(),wr=s.create(),cr=s.create(),$e=s.create();s.lerp(sr,ut,lt,Se),s.lerp(wr,pt,Gt,Se),s.lerp(cr,Zt,Nt,Se),s.lerp($e,st,Jt,Se);var St=s.create(),Qt=s.create();s.lerp(St,sr,cr,Le),s.lerp(Qt,wr,$e,Le);var Vt=s.create();return s.lerp(Vt,St,Qt,Ae),Vt},_=function(S,L){var x=L[0],C=L[1],M=L[2];return S[0]=x<0?-x:x,S[1]=C<0?-C:C,S[2]=M<0?-M:M,S},b=function(S){var L=1/0;S.sort(function(g,P){return g-P});for(var x=S.length,C=1;C<x;C++){var M=Math.abs(S[C]-S[C-1]);M<L&&(L=M)}return L},p=function(S){for(var L=[],x=[],C=[],M={},g={},P={},T=S.length,z=0;z<T;z++){var O=S[z],V=O[0],G=O[1],Z=O[2];M[V]||(L.push(V),M[V]=!0),g[G]||(x.push(G),g[G]=!0),P[Z]||(C.push(Z),P[Z]=!0)}var j=b(L),N=b(x),H=b(C),te=Math.min(j,N,H);return isFinite(te)?te:1};i.exports=function(S,L){var x=S.startingPositions,C=S.maxLength||1e3,M=S.tubeSize||1,g=S.absoluteTubeSize,P=S.gridFill||\"+x+y+z\",T={};P.indexOf(\"-x\")!==-1&&(T.reversedX=!0),P.indexOf(\"-y\")!==-1&&(T.reversedY=!0),P.indexOf(\"-z\")!==-1&&(T.reversedZ=!0),T.filled=u.indexOf(P.replace(/-/g,\"\").replace(/\\+/g,\"\"));var z=S.getVelocity||function(Gt){return v(Gt,S,T)},O=S.getDivergence||function(Gt,Nt){var Jt=s.create(),sr=1e-4;s.add(Jt,Gt,[sr,0,0]);var wr=z(Jt);s.subtract(wr,wr,Nt),s.scale(wr,wr,1/sr),s.add(Jt,Gt,[0,sr,0]);var cr=z(Jt);s.subtract(cr,cr,Nt),s.scale(cr,cr,1/sr),s.add(Jt,Gt,[0,0,sr]);var $e=z(Jt);return s.subtract($e,$e,Nt),s.scale($e,$e,1/sr),s.add(Jt,wr,cr),s.add(Jt,Jt,$e),Jt},V=[],G=L[0][0],Z=L[0][1],j=L[0][2],N=L[1][0],H=L[1][1],te=L[1][2],oe=function(Gt){var Nt=Gt[0],Jt=Gt[1],sr=Gt[2];return!(Nt<G||Nt>N||Jt<Z||Jt>H||sr<j||sr>te)},_e=s.distance(L[0],L[1]),Ee=10*_e/C,Ce=Ee*Ee,me=1,ie=0,Se=x.length;Se>1&&(me=p(x));for(var Le=0;Le<Se;Le++){var Ae=s.create();s.copy(Ae,x[Le]);var Fe=[Ae],Pe=[],ge=z(Ae),Re=Ae;Pe.push(ge);var ce=[],Ze=O(Ae,ge),ut=s.length(Ze);isFinite(ut)&&ut>ie&&(ie=ut),ce.push(ut),V.push({points:Fe,velocities:Pe,divergences:ce});for(var pt=0;pt<C*100&&Fe.length<C&&oe(Ae);){pt++;var Zt=s.clone(ge),st=s.squaredLength(Zt);if(st===0)break;if(st>Ce&&s.scale(Zt,Zt,Ee/Math.sqrt(st)),s.add(Zt,Zt,Ae),ge=z(Zt),s.squaredDistance(Re,Zt)-Ce>-1e-4*Ce){Fe.push(Zt),Re=Zt,Pe.push(ge);var Ze=O(Zt,ge),ut=s.length(Ze);isFinite(ut)&&ut>ie&&(ie=ut),ce.push(ut)}Ae=Zt}}var lt=f(V,S.colormap,ie,me);return g?lt.tubeScale=g:(ie===0&&(ie=1),lt.tubeScale=M*.5*me/ie),lt};var k=o(6740),E=o(6405).createMesh;i.exports.createTubeMesh=function(S,L){return E(S,L,{shaders:k,traceType:\"streamtube\"})}},7827:function(i){i.exports=[\"<<=\",\">>=\",\"++\",\"--\",\"<<\",\">>\",\"<=\",\">=\",\"==\",\"!=\",\"&&\",\"||\",\"+=\",\"-=\",\"*=\",\"/=\",\"%=\",\"&=\",\"^^\",\"^=\",\"|=\",\"(\",\")\",\"[\",\"]\",\".\",\"!\",\"~\",\"*\",\"/\",\"%\",\"+\",\"-\",\"<\",\">\",\"&\",\"^\",\"|\",\"?\",\":\",\"=\",\",\",\";\",\"{\",\"}\"]},7842:function(i,a,o){\"use strict\";var s=o(6330),l=o(1533),u=o(2651),c=o(6768),f=o(869),h=o(8697);i.exports=d;function d(v,_){if(s(v))return _?h(v,d(_)):[v[0].clone(),v[1].clone()];var b=0,p,k;if(l(v))p=v.clone();else if(typeof v==\"string\")p=c(v);else{if(v===0)return[u(0),u(1)];if(v===Math.floor(v))p=u(v);else{for(;v!==Math.floor(v);)v=v*Math.pow(2,256),b-=256;p=u(v)}}if(s(_))p.mul(_[1]),k=_[0].clone();else if(l(_))k=_.clone();else if(typeof _==\"string\")k=c(_);else if(!_)k=u(1);else 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s=o(620);i.exports=s.slice().concat([\"layout\",\"centroid\",\"smooth\",\"case\",\"mat2x2\",\"mat2x3\",\"mat2x4\",\"mat3x2\",\"mat3x3\",\"mat3x4\",\"mat4x2\",\"mat4x3\",\"mat4x4\",\"uvec2\",\"uvec3\",\"uvec4\",\"samplerCubeShadow\",\"sampler2DArray\",\"sampler2DArrayShadow\",\"isampler2D\",\"isampler3D\",\"isamplerCube\",\"isampler2DArray\",\"usampler2D\",\"usampler3D\",\"usamplerCube\",\"usampler2DArray\",\"coherent\",\"restrict\",\"readonly\",\"writeonly\",\"resource\",\"atomic_uint\",\"noperspective\",\"patch\",\"sample\",\"subroutine\",\"common\",\"partition\",\"active\",\"filter\",\"image1D\",\"image2D\",\"image3D\",\"imageCube\",\"iimage1D\",\"iimage2D\",\"iimage3D\",\"iimageCube\",\"uimage1D\",\"uimage2D\",\"uimage3D\",\"uimageCube\",\"image1DArray\",\"image2DArray\",\"iimage1DArray\",\"iimage2DArray\",\"uimage1DArray\",\"uimage2DArray\",\"image1DShadow\",\"image2DShadow\",\"image1DArrayShadow\",\"image2DArrayShadow\",\"imageBuffer\",\"iimageBuffer\",\"uimageBuffer\",\"sampler1DArray\",\"sampler1DArrayShadow\",\"isampler1D\",\"isampler1DArray\",\"usampler1D\",\"usampler1DArray\",\"isampler2DRect\",\"usampler2DRect\",\"samplerBuffer\",\"isamplerBuffer\",\"usamplerBuffer\",\"sampler2DMS\",\"isampler2DMS\",\"usampler2DMS\",\"sampler2DMSArray\",\"isampler2DMSArray\",\"usampler2DMSArray\"])},7960:function(i){i.exports=a;function 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k(L,x,C){var M=s.le(L,C,p),g=L[M],P=g.upperIds,T=P[P.length-1];g.upperIds=[T],L.splice(M+1,0,new h(C.a,C.b,C.idx,[T],P))}function E(L,x,C){var M=C.a;C.a=C.b,C.b=M;var g=s.eq(L,C,p),P=L[g],T=L[g-1];T.upperIds=P.upperIds,L.splice(g,1)}function S(L,x){for(var C=L.length,M=x.length,g=[],P=0;P<C;++P)g.push(new d(L[P],null,u,P));for(var P=0;P<M;++P){var T=x[P],z=L[T[0]],O=L[T[1]];z[0]<O[0]?g.push(new d(z,O,f,P),new d(O,z,c,P)):z[0]>O[0]&&g.push(new d(O,z,f,P),new d(z,O,c,P))}g.sort(v);for(var V=g[0].a[0]-(1+Math.abs(g[0].a[0]))*Math.pow(2,-52),G=[new h([V,1],[V,0],-1,[],[],[],[])],Z=[],P=0,j=g.length;P<j;++P){var N=g[P],H=N.type;H===u?b(Z,G,L,N.a,N.idx):H===f?k(G,L,N):E(G,L,N)}return Z}},8954:function(i,a,o){\"use strict\";i.exports=p;var s=o(3250),l=o(6803).Fw;function u(k,E,S){this.vertices=k,this.adjacent=E,this.boundary=S,this.lastVisited=-1}u.prototype.flip=function(){var k=this.vertices[0];this.vertices[0]=this.vertices[1],this.vertices[1]=k;var E=this.adjacent[0];this.adjacent[0]=this.adjacent[1],this.adjacent[1]=E};function c(k,E,S){this.vertices=k,this.cell=E,this.index=S}function f(k,E){return l(k.vertices,E.vertices)}function h(k){return function(){var E=this.tuple;return k.apply(this,E)}}function d(k){var E=s[k+1];return E||(E=s),h(E)}var v=[];function _(k,E,S){this.dimension=k,this.vertices=E,this.simplices=S,this.interior=S.filter(function(C){return!C.boundary}),this.tuple=new Array(k+1);for(var L=0;L<=k;++L)this.tuple[L]=this.vertices[L];var x=v[k];x||(x=v[k]=d(k)),this.orient=x}var b=_.prototype;b.handleBoundaryDegeneracy=function(k,E){var S=this.dimension,L=this.vertices.length-1,x=this.tuple,C=this.vertices,M=[k];for(k.lastVisited=-L;M.length>0;){k=M.pop();for(var g=k.adjacent,P=0;P<=S;++P){var T=g[P];if(!(!T.boundary||T.lastVisited<=-L)){for(var z=T.vertices,O=0;O<=S;++O){var V=z[O];V<0?x[O]=E:x[O]=C[V]}var G=this.orient();if(G>0)return T;T.lastVisited=-L,G===0&&M.push(T)}}}return null},b.walk=function(k,E){var S=this.vertices.length-1,L=this.dimension,x=this.vertices,C=this.tuple,M=E?this.interior.length*Math.random()|0:this.interior.length-1,g=this.interior[M];e:for(;!g.boundary;){for(var P=g.vertices,T=g.adjacent,z=0;z<=L;++z)C[z]=x[P[z]];g.lastVisited=S;for(var z=0;z<=L;++z){var O=T[z];if(!(O.lastVisited>=S)){var V=C[z];C[z]=k;var G=this.orient();if(C[z]=V,G<0){g=O;continue e}else O.boundary?O.lastVisited=-S:O.lastVisited=S}}return}return g},b.addPeaks=function(k,E){var S=this.vertices.length-1,L=this.dimension,x=this.vertices,C=this.tuple,M=this.interior,g=this.simplices,P=[E];E.lastVisited=S,E.vertices[E.vertices.indexOf(-1)]=S,E.boundary=!1,M.push(E);for(var T=[];P.length>0;){var E=P.pop(),z=E.vertices,O=E.adjacent,V=z.indexOf(S);if(!(V<0)){for(var G=0;G<=L;++G)if(G!==V){var Z=O[G];if(!(!Z.boundary||Z.lastVisited>=S)){var j=Z.vertices;if(Z.lastVisited!==-S){for(var N=0,H=0;H<=L;++H)j[H]<0?(N=H,C[H]=k):C[H]=x[j[H]];var te=this.orient();if(te>0){j[N]=S,Z.boundary=!1,M.push(Z),P.push(Z),Z.lastVisited=S;continue}else Z.lastVisited=-S}var oe=Z.adjacent,_e=z.slice(),Ee=O.slice(),Ce=new u(_e,Ee,!0);g.push(Ce);var me=oe.indexOf(E);if(!(me<0)){oe[me]=Ce,Ee[V]=Z,_e[G]=-1,Ee[G]=E,O[G]=Ce,Ce.flip();for(var H=0;H<=L;++H){var ie=_e[H];if(!(ie<0||ie===S)){for(var Se=new Array(L-1),Le=0,Ae=0;Ae<=L;++Ae){var Fe=_e[Ae];Fe<0||Ae===H||(Se[Le++]=Fe)}T.push(new c(Se,Ce,H))}}}}}}}T.sort(f);for(var G=0;G+1<T.length;G+=2){var Pe=T[G],ge=T[G+1],Re=Pe.index,ce=ge.index;Re<0||ce<0||(Pe.cell.adjacent[Pe.index]=ge.cell,ge.cell.adjacent[ge.index]=Pe.cell)}},b.insert=function(k,E){var S=this.vertices;S.push(k);var L=this.walk(k,E);if(L){for(var x=this.dimension,C=this.tuple,M=0;M<=x;++M){var g=L.vertices[M];g<0?C[M]=k:C[M]=S[g]}var P=this.orient(C);P<0||P===0&&(L=this.handleBoundaryDegeneracy(L,k),!L)||this.addPeaks(k,L)}},b.boundary=function(){for(var k=this.dimension,E=[],S=this.simplices,L=S.length,x=0;x<L;++x){var C=S[x];if(C.boundary){for(var M=new Array(k),g=C.vertices,P=0,T=0,z=0;z<=k;++z)g[z]>=0?M[P++]=g[z]:T=z&1;if(T===(k&1)){var O=M[0];M[0]=M[1],M[1]=O}E.push(M)}}return E};function p(k,E){var S=k.length;if(S===0)throw new Error(\"Must have at least d+1 points\");var L=k[0].length;if(S<=L)throw new Error(\"Must input at least d+1 points\");var x=k.slice(0,L+1),C=s.apply(void 0,x);if(C===0)throw new Error(\"Input not in general position\");for(var M=new Array(L+1),g=0;g<=L;++g)M[g]=g;C<0&&(M[0]=1,M[1]=0);for(var P=new u(M,new Array(L+1),!1),T=P.adjacent,z=new Array(L+2),g=0;g<=L;++g){for(var O=M.slice(),V=0;V<=L;++V)V===g&&(O[V]=-1);var G=O[0];O[0]=O[1],O[1]=G;var Z=new u(O,new Array(L+1),!0);T[g]=Z,z[g]=Z}z[L+1]=P;for(var g=0;g<=L;++g)for(var O=T[g].vertices,j=T[g].adjacent,V=0;V<=L;++V){var N=O[V];if(N<0){j[V]=P;continue}for(var H=0;H<=L;++H)T[H].vertices.indexOf(N)<0&&(j[V]=T[H])}for(var te=new _(L,x,z),oe=!!E,g=L+1;g<S;++g)te.insert(k[g],oe);return te.boundary()}},8987:function(i,a,o){\"use strict\";var s=o(7842),l=o(6504);i.exports=u;function u(c,f){for(var h=s(f),d=c.length,v=new Array(d),_=0;_<d;++_)v[_]=l(c[_],h);return v}},9060:function(i,a,o){\"use strict\";var s=o(9405),l=o(2762),u=o(8116),c=o(7766),f=o(6760),h=o(7608),d=o(9618),v=o(6729),_=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function b(C,M,g,P,T,z,O,V,G,Z,j){this.gl=C,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=M,this.dirty=!0,this.triShader=g,this.pickShader=P,this.trianglePositions=T,this.triangleVectors=z,this.triangleColors=V,this.triangleUVs=G,this.triangleIds=O,this.triangleVAO=Z,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=j,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=_,this._view=_,this._projection=_,this._resolution=[1,1]}var p=b.prototype;p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(C){this.pickId=C};function k(C){for(var M=v({colormap:C,nshades:256,format:\"rgba\"}),g=new Uint8Array(256*4),P=0;P<256;++P){for(var T=M[P],z=0;z<3;++z)g[4*P+z]=T[z];g[4*P+3]=T[3]*255}return d(g,[256,256,4],[4,0,1])}function E(C){for(var M=C.length,g=new Array(M),P=0;P<M;++P)g[P]=C[P][2];return g}p.update=function(C){C=C||{};var M=this.gl;this.dirty=!0,\"lightPosition\"in C&&(this.lightPosition=C.lightPosition),\"opacity\"in C&&(this.opacity=C.opacity),\"ambient\"in C&&(this.ambientLight=C.ambient),\"diffuse\"in C&&(this.diffuseLight=C.diffuse),\"specular\"in C&&(this.specularLight=C.specular),\"roughness\"in C&&(this.roughness=C.roughness),\"fresnel\"in C&&(this.fresnel=C.fresnel),C.tubeScale!==void 0&&(this.tubeScale=C.tubeScale),C.vectorScale!==void 0&&(this.vectorScale=C.vectorScale),C.coneScale!==void 0&&(this.coneScale=C.coneScale),C.coneOffset!==void 0&&(this.coneOffset=C.coneOffset),C.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=M.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=M.LINEAR,this.texture.setPixels(k(C.colormap)),this.texture.generateMipmap());var g=C.cells,P=C.positions,T=C.vectors;if(!(!P||!g||!T)){var z=[],O=[],V=[],G=[],Z=[];this.cells=g,this.positions=P,this.vectors=T;var j=C.meshColor||[1,1,1,1],N=C.vertexIntensity,H=1/0,te=-1/0;if(N)if(C.vertexIntensityBounds)H=+C.vertexIntensityBounds[0],te=+C.vertexIntensityBounds[1];else for(var oe=0;oe<N.length;++oe){var _e=N[oe];H=Math.min(H,_e),te=Math.max(te,_e)}else for(var oe=0;oe<P.length;++oe){var _e=P[oe][2];H=Math.min(H,_e),te=Math.max(te,_e)}N?this.intensity=N:this.intensity=E(P),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(var oe=0;oe<P.length;++oe)for(var Ee=P[oe],Ce=0;Ce<3;++Ce)isNaN(Ee[Ce])||!isFinite(Ee[Ce])||(this.bounds[0][Ce]=Math.min(this.bounds[0][Ce],Ee[Ce]),this.bounds[1][Ce]=Math.max(this.bounds[1][Ce],Ee[Ce]));var me=0;e:for(var oe=0;oe<g.length;++oe){var ie=g[oe];switch(ie.length){case 3:for(var Ce=0;Ce<3;++Ce)for(var Se=ie[Ce],Ee=P[Se],Le=0;Le<3;++Le)if(isNaN(Ee[Le])||!isFinite(Ee[Le]))continue e;for(var Ce=0;Ce<3;++Ce){var Se=ie[2-Ce],Ee=P[Se];z.push(Ee[0],Ee[1],Ee[2],Ee[3]);var Ae=T[Se];O.push(Ae[0],Ae[1],Ae[2],Ae[3]||0);var Fe=j;Fe.length===3?V.push(Fe[0],Fe[1],Fe[2],1):V.push(Fe[0],Fe[1],Fe[2],Fe[3]);var Pe;N?Pe=[(N[Se]-H)/(te-H),0]:Pe=[(Ee[2]-H)/(te-H),0],G.push(Pe[0],Pe[1]),Z.push(oe)}me+=1;break;default:break}}this.triangleCount=me,this.trianglePositions.update(z),this.triangleVectors.update(O),this.triangleColors.update(V),this.triangleUVs.update(G),this.triangleIds.update(new Uint32Array(Z))}},p.drawTransparent=p.draw=function(C){C=C||{};for(var M=this.gl,g=C.model||_,P=C.view||_,T=C.projection||_,z=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],O=0;O<3;++O)z[0][O]=Math.max(z[0][O],this.clipBounds[0][O]),z[1][O]=Math.min(z[1][O],this.clipBounds[1][O]);var V={model:g,view:P,projection:T,inverseModel:_.slice(),clipBounds:z,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};V.inverseModel=h(V.inverseModel,V.model),M.disable(M.CULL_FACE),this.texture.bind(0);var G=new Array(16);f(G,V.view,V.model),f(G,V.projection,G),h(G,G);for(var O=0;O<3;++O)V.eyePosition[O]=G[12+O]/G[15];for(var Z=G[15],O=0;O<3;++O)Z+=this.lightPosition[O]*G[4*O+3];for(var O=0;O<3;++O){for(var j=G[12+O],N=0;N<3;++N)j+=G[4*N+O]*this.lightPosition[N];V.lightPosition[O]=j/Z}if(this.triangleCount>0){var H=this.triShader;H.bind(),H.uniforms=V,this.triangleVAO.bind(),M.drawArrays(M.TRIANGLES,0,this.triangleCount*3),this.triangleVAO.unbind()}},p.drawPick=function(C){C=C||{};for(var M=this.gl,g=C.model||_,P=C.view||_,T=C.projection||_,z=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],O=0;O<3;++O)z[0][O]=Math.max(z[0][O],this.clipBounds[0][O]),z[1][O]=Math.min(z[1][O],this.clipBounds[1][O]);this._model=[].slice.call(g),this._view=[].slice.call(P),this._projection=[].slice.call(T),this._resolution=[M.drawingBufferWidth,M.drawingBufferHeight];var V={model:g,view:P,projection:T,clipBounds:z,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},G=this.pickShader;G.bind(),G.uniforms=V,this.triangleCount>0&&(this.triangleVAO.bind(),M.drawArrays(M.TRIANGLES,0,this.triangleCount*3),this.triangleVAO.unbind())},p.pick=function(C){if(!C||C.id!==this.pickId)return null;var M=C.value[0]+256*C.value[1]+65536*C.value[2],g=this.cells[M],P=this.positions[g[1]].slice(0,3),T={position:P,dataCoordinate:P,index:Math.floor(g[1]/48)};return this.traceType===\"cone\"?T.index=Math.floor(g[1]/48):this.traceType===\"streamtube\"&&(T.intensity=this.intensity[g[1]],T.velocity=this.vectors[g[1]].slice(0,3),T.divergence=this.vectors[g[1]][3],T.index=M),T},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()};function S(C,M){var g=s(C,M.meshShader.vertex,M.meshShader.fragment,null,M.meshShader.attributes);return g.attributes.position.location=0,g.attributes.color.location=2,g.attributes.uv.location=3,g.attributes.vector.location=4,g}function L(C,M){var g=s(C,M.pickShader.vertex,M.pickShader.fragment,null,M.pickShader.attributes);return g.attributes.position.location=0,g.attributes.id.location=1,g.attributes.vector.location=4,g}function x(C,M,g){var P=g.shaders;arguments.length===1&&(M=C,C=M.gl);var T=S(C,P),z=L(C,P),O=c(C,d(new Uint8Array([255,255,255,255]),[1,1,4]));O.generateMipmap(),O.minFilter=C.LINEAR_MIPMAP_LINEAR,O.magFilter=C.LINEAR;var V=l(C),G=l(C),Z=l(C),j=l(C),N=l(C),H=u(C,[{buffer:V,type:C.FLOAT,size:4},{buffer:N,type:C.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:Z,type:C.FLOAT,size:4},{buffer:j,type:C.FLOAT,size:2},{buffer:G,type:C.FLOAT,size:4}]),te=new b(C,O,T,z,V,G,N,Z,j,H,g.traceType||\"cone\");return te.update(M),te}i.exports=x},9127:function(i,a,o){\"use strict\";i.exports=u;var s=o(6204),l=o(5771);function u(c){return l(s(c))}},9131:function(i,a,o){var s=o(5177),l=o(9288);i.exports=u;function u(c,f){return f=f||1,c[0]=Math.random(),c[1]=Math.random(),c[2]=Math.random(),c[3]=Math.random(),s(c,c),l(c,c,f),c}},9165:function(i,a,o){\"use strict\";i.exports=b;var s=o(2762),l=o(8116),u=o(3436),c=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(p,k,E,S){this.gl=p,this.shader=S,this.buffer=k,this.vao=E,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var h=f.prototype;h.isOpaque=function(){return!this.hasAlpha},h.isTransparent=function(){return this.hasAlpha},h.drawTransparent=h.draw=function(p){var k=this.gl,E=this.shader.uniforms;this.shader.bind();var S=E.view=p.view||c,L=E.projection=p.projection||c;E.model=p.model||c,E.clipBounds=this.clipBounds,E.opacity=this.opacity;var x=S[12],C=S[13],M=S[14],g=S[15],P=p._ortho||!1,T=P?2:1,z=T*this.pixelRatio*(L[3]*x+L[7]*C+L[11]*M+L[15]*g)/k.drawingBufferHeight;this.vao.bind();for(var O=0;O<3;++O)k.lineWidth(this.lineWidth[O]*this.pixelRatio),E.capSize=this.capSize[O]*z,this.lineCount[O]&&k.drawArrays(k.LINES,this.lineOffset[O],this.lineCount[O]);this.vao.unbind()};function d(p,k){for(var E=0;E<3;++E)p[0][E]=Math.min(p[0][E],k[E]),p[1][E]=Math.max(p[1][E],k[E])}var v=function(){for(var p=new Array(3),k=0;k<3;++k){for(var E=[],S=1;S<=2;++S)for(var L=-1;L<=1;L+=2){var x=(S+k)%3,C=[0,0,0];C[x]=L,E.push(C)}p[k]=E}return p}();function _(p,k,E,S){for(var L=v[S],x=0;x<L.length;++x){var C=L[x];p.push(k[0],k[1],k[2],E[0],E[1],E[2],E[3],C[0],C[1],C[2])}return L.length}h.update=function(p){p=p||{},\"lineWidth\"in p&&(this.lineWidth=p.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),\"capSize\"in p&&(this.capSize=p.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),this.hasAlpha=!1,\"opacity\"in p&&(this.opacity=+p.opacity,this.opacity<1&&(this.hasAlpha=!0));var k=p.color||[[0,0,0],[0,0,0],[0,0,0]],E=p.position,S=p.error;if(Array.isArray(k[0])||(k=[k,k,k]),E&&S){var L=[],x=E.length,C=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var M=0;M<3;++M){this.lineOffset[M]=C;e:for(var g=0;g<x;++g){for(var P=E[g],T=0;T<3;++T)if(isNaN(P[T])||!isFinite(P[T]))continue e;var z=S[g],O=k[M];if(Array.isArray(O[0])&&(O=k[g]),O.length===3?O=[O[0],O[1],O[2],1]:O.length===4&&(O=[O[0],O[1],O[2],O[3]],!this.hasAlpha&&O[3]<1&&(this.hasAlpha=!0)),!(isNaN(z[0][M])||isNaN(z[1][M]))){if(z[0][M]<0){var V=P.slice();V[M]+=z[0][M],L.push(P[0],P[1],P[2],O[0],O[1],O[2],O[3],0,0,0,V[0],V[1],V[2],O[0],O[1],O[2],O[3],0,0,0),d(this.bounds,V),C+=2+_(L,V,O,M)}if(z[1][M]>0){var V=P.slice();V[M]+=z[1][M],L.push(P[0],P[1],P[2],O[0],O[1],O[2],O[3],0,0,0,V[0],V[1],V[2],O[0],O[1],O[2],O[3],0,0,0),d(this.bounds,V),C+=2+_(L,V,O,M)}}}this.lineCount[M]=C-this.lineOffset[M]}this.buffer.update(L)}},h.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()};function b(p){var k=p.gl,E=s(k),S=l(k,[{buffer:E,type:k.FLOAT,size:3,offset:0,stride:40},{buffer:E,type:k.FLOAT,size:4,offset:12,stride:40},{buffer:E,type:k.FLOAT,size:3,offset:28,stride:40}]),L=u(k);L.attributes.position.location=0,L.attributes.color.location=1,L.attributes.offset.location=2;var x=new f(k,E,S,L);return x.update(p),x}},9215:function(i,a,o){\"use strict\";i.exports=d;var s=o(4769),l=o(2478);function u(v,_,b){return Math.min(_,Math.max(v,b))}function c(v,_,b){this.dimension=v.length,this.bounds=[new Array(this.dimension),new Array(this.dimension)];for(var p=0;p<this.dimension;++p)this.bounds[0][p]=-1/0,this.bounds[1][p]=1/0;this._state=v.slice().reverse(),this._velocity=_.slice().reverse(),this._time=[b],this._scratch=[v.slice(),v.slice(),v.slice(),v.slice(),v.slice()]}var f=c.prototype;f.flush=function(v){var _=l.gt(this._time,v)-1;_<=0||(this._time.splice(0,_),this._state.splice(0,_*this.dimension),this._velocity.splice(0,_*this.dimension))},f.curve=function(v){var _=this._time,b=_.length,p=l.le(_,v),k=this._scratch[0],E=this._state,S=this._velocity,L=this.dimension,x=this.bounds;if(p<0)for(var C=L-1,M=0;M<L;++M,--C)k[M]=E[C];else if(p>=b-1)for(var C=E.length-1,g=v-_[b-1],M=0;M<L;++M,--C)k[M]=E[C]+g*S[C];else{for(var C=L*(p+1)-1,P=_[p],T=_[p+1],z=T-P||1,O=this._scratch[1],V=this._scratch[2],G=this._scratch[3],Z=this._scratch[4],j=!0,M=0;M<L;++M,--C)O[M]=E[C],G[M]=S[C]*z,V[M]=E[C+L],Z[M]=S[C+L]*z,j=j&&O[M]===V[M]&&G[M]===Z[M]&&G[M]===0;if(j)for(var M=0;M<L;++M)k[M]=O[M];else s(O,G,V,Z,(v-P)/z,k)}for(var N=x[0],H=x[1],M=0;M<L;++M)k[M]=u(N[M],H[M],k[M]);return k},f.dcurve=function(v){var _=this._time,b=_.length,p=l.le(_,v),k=this._scratch[0],E=this._state,S=this._velocity,L=this.dimension;if(p>=b-1)for(var x=E.length-1,C=v-_[b-1],M=0;M<L;++M,--x)k[M]=S[x];else{for(var x=L*(p+1)-1,g=_[p],P=_[p+1],T=P-g||1,z=this._scratch[1],O=this._scratch[2],V=this._scratch[3],G=this._scratch[4],Z=!0,M=0;M<L;++M,--x)z[M]=E[x],V[M]=S[x]*T,O[M]=E[x+L],G[M]=S[x+L]*T,Z=Z&&z[M]===O[M]&&V[M]===G[M]&&V[M]===0;if(Z)for(var M=0;M<L;++M)k[M]=0;else{s.derivative(z,V,O,G,(v-g)/T,k);for(var M=0;M<L;++M)k[M]/=T}}return k},f.lastT=function(){var v=this._time;return v[v.length-1]},f.stable=function(){for(var v=this._velocity,_=v.length,b=this.dimension-1;b>=0;--b)if(v[--_])return!1;return!0},f.jump=function(v){var _=this.lastT(),b=this.dimension;if(!(v<_||arguments.length!==b+1)){var p=this._state,k=this._velocity,E=p.length-this.dimension,S=this.bounds,L=S[0],x=S[1];this._time.push(_,v);for(var C=0;C<2;++C)for(var M=0;M<b;++M)p.push(p[E++]),k.push(0);this._time.push(v);for(var M=b;M>0;--M)p.push(u(L[M-1],x[M-1],arguments[M])),k.push(0)}},f.push=function(v){var _=this.lastT(),b=this.dimension;if(!(v<_||arguments.length!==b+1)){var p=this._state,k=this._velocity,E=p.length-this.dimension,S=v-_,L=this.bounds,x=L[0],C=L[1],M=S>1e-6?1/S:0;this._time.push(v);for(var g=b;g>0;--g){var P=u(x[g-1],C[g-1],arguments[g]);p.push(P),k.push((P-p[E++])*M)}}},f.set=function(v){var _=this.dimension;if(!(v<this.lastT()||arguments.length!==_+1)){var b=this._state,p=this._velocity,k=this.bounds,E=k[0],S=k[1];this._time.push(v);for(var L=_;L>0;--L)b.push(u(E[L-1],S[L-1],arguments[L])),p.push(0)}},f.move=function(v){var _=this.lastT(),b=this.dimension;if(!(v<=_||arguments.length!==b+1)){var p=this._state,k=this._velocity,E=p.length-this.dimension,S=this.bounds,L=S[0],x=S[1],C=v-_,M=C>1e-6?1/C:0;this._time.push(v);for(var g=b;g>0;--g){var P=arguments[g];p.push(u(L[g-1],x[g-1],p[E++]+P)),k.push(P*M)}}},f.idle=function(v){var _=this.lastT();if(!(v<_)){var b=this.dimension,p=this._state,k=this._velocity,E=p.length-b,S=this.bounds,L=S[0],x=S[1],C=v-_;this._time.push(v);for(var M=b-1;M>=0;--M)p.push(u(L[M],x[M],p[E]+C*k[E])),k.push(0),E+=1}};function h(v){for(var _=new Array(v),b=0;b<v;++b)_[b]=0;return _}function d(v,_,b){switch(arguments.length){case 0:return new c([0],[0],0);case 1:if(typeof v==\"number\"){var p=h(v);return new c(p,p,0)}else return new c(v,h(v.length),0);case 2:if(typeof _==\"number\"){var p=h(v.length);return new c(v,p,+_)}else b=0;case 3:if(v.length!==_.length)throw new Error(\"state and velocity lengths must match\");return new c(v,_,b)}}},9216:function(i){\"use strict\";i.exports=l,i.exports.isMobile=l,i.exports.default=l;var a=/(android|bb\\d+|meego).+mobile|armv7l|avantgo|bada\\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\\/|plucker|pocket|psp|series[46]0|samsungbrowser.*mobile|symbian|treo|up\\.(browser|link)|vodafone|wap|windows (ce|phone)|xda|xiino/i,o=/CrOS/,s=/android|ipad|playbook|silk/i;function l(u){u||(u={});var c=u.ua;if(!c&&typeof navigator!=\"undefined\"&&(c=navigator.userAgent),c&&c.headers&&typeof c.headers[\"user-agent\"]==\"string\"&&(c=c.headers[\"user-agent\"]),typeof c!=\"string\")return!1;var f=a.test(c)&&!o.test(c)||!!u.tablet&&s.test(c);return!f&&u.tablet&&u.featureDetect&&navigator&&navigator.maxTouchPoints>1&&c.indexOf(\"Macintosh\")!==-1&&c.indexOf(\"Safari\")!==-1&&(f=!0),f}},9226:function(i){i.exports=a;function a(o,s){return o[0]=Math.ceil(s[0]),o[1]=Math.ceil(s[1]),o[2]=Math.ceil(s[2]),o}},9265:function(i){i.exports=a;function a(o,s){return o[0]===s[0]&&o[1]===s[1]&&o[2]===s[2]}},9288:function(i){i.exports=a;function a(o,s,l){return o[0]=s[0]*l,o[1]=s[1]*l,o[2]=s[2]*l,o[3]=s[3]*l,o}},9346:function(i){\"use strict\";var a=new Float64Array(4),o=new Float64Array(4),s=new Float64Array(4);function l(u,c,f,h,d){a.length<h.length&&(a=new Float64Array(h.length),o=new Float64Array(h.length),s=new Float64Array(h.length));for(var v=0;v<h.length;++v)a[v]=u[v]-h[v],o[v]=c[v]-u[v],s[v]=f[v]-u[v];for(var _=0,b=0,p=0,k=0,E=0,S=0,v=0;v<h.length;++v){var L=o[v],x=s[v],C=a[v];_+=L*L,b+=L*x,p+=x*x,k+=C*L,E+=C*x,S+=C*C}var M=Math.abs(_*p-b*b),g=b*E-p*k,P=b*k-_*E,T;if(g+P<=M)if(g<0)P<0&&k<0?(P=0,-k>=_?(g=1,T=_+2*k+S):(g=-k/_,T=k*g+S)):(g=0,E>=0?(P=0,T=S):-E>=p?(P=1,T=p+2*E+S):(P=-E/p,T=E*P+S));else if(P<0)P=0,k>=0?(g=0,T=S):-k>=_?(g=1,T=_+2*k+S):(g=-k/_,T=k*g+S);else{var z=1/M;g*=z,P*=z,T=g*(_*g+b*P+2*k)+P*(b*g+p*P+2*E)+S}else{var O,V,G,Z;g<0?(O=b+k,V=p+E,V>O?(G=V-O,Z=_-2*b+p,G>=Z?(g=1,P=0,T=_+2*k+S):(g=G/Z,P=1-g,T=g*(_*g+b*P+2*k)+P*(b*g+p*P+2*E)+S)):(g=0,V<=0?(P=1,T=p+2*E+S):E>=0?(P=0,T=S):(P=-E/p,T=E*P+S))):P<0?(O=b+E,V=_+k,V>O?(G=V-O,Z=_-2*b+p,G>=Z?(P=1,g=0,T=p+2*E+S):(P=G/Z,g=1-P,T=g*(_*g+b*P+2*k)+P*(b*g+p*P+2*E)+S)):(P=0,V<=0?(g=1,T=_+2*k+S):k>=0?(g=0,T=S):(g=-k/_,T=k*g+S))):(G=p+E-b-k,G<=0?(g=0,P=1,T=p+2*E+S):(Z=_-2*b+p,G>=Z?(g=1,P=0,T=_+2*k+S):(g=G/Z,P=1-g,T=g*(_*g+b*P+2*k)+P*(b*g+p*P+2*E)+S)))}for(var j=1-g-P,v=0;v<h.length;++v)d[v]=j*u[v]+g*c[v]+P*f[v];return T<0?0:T}i.exports=l},9362:function(i){\"use strict\";i.exports=a;function a(o,s,l){var u=o+s,c=u-o,f=u-c,h=s-c,d=o-f;return l?(l[0]=d+h,l[1]=u,l):[d+h,u]}},9366:function(i,a,o){\"use strict\";var s=o(4359);i.exports=u;var l={};function u(c,f,h){var d=[f.style,f.weight,f.variant,f.family].join(\"_\"),v=l[d];if(v||(v=l[d]={}),c in v)return v[c];var _={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:f.family,fontStyle:f.style,fontWeight:f.weight,fontVariant:f.variant,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0}};_.triangles=!0;var b=s(c,_);_.triangles=!1;var p=s(c,_),k,E;if(h&&h!==1){for(k=0;k<b.positions.length;++k)for(E=0;E<b.positions[k].length;++E)b.positions[k][E]/=h;for(k=0;k<p.positions.length;++k)for(E=0;E<p.positions[k].length;++E)p.positions[k][E]/=h}var S=[[1/0,1/0],[-1/0,-1/0]],L=p.positions.length;for(k=0;k<L;++k){var x=p.positions[k];for(E=0;E<2;++E)S[0][E]=Math.min(S[0][E],x[E]),S[1][E]=Math.max(S[1][E],x[E])}return v[c]=[b,p,S]}},9405:function(i,a,o){\"use strict\";var s=o(3327),l=o(8731),u=o(216),c=o(5091),f=o(2145),h=o(8866);function d(p){this.gl=p,this.gl.lastAttribCount=0,this._vref=this._fref=this._relink=this.vertShader=this.fragShader=this.program=this.attributes=this.uniforms=this.types=null}var v=d.prototype;v.bind=function(){this.program||this._relink();var p,k=this.gl.getProgramParameter(this.program,this.gl.ACTIVE_ATTRIBUTES),E=this.gl.lastAttribCount;if(k>E)for(p=E;p<k;p++)this.gl.enableVertexAttribArray(p);else if(E>k)for(p=k;p<E;p++)this.gl.disableVertexAttribArray(p);this.gl.lastAttribCount=k,this.gl.useProgram(this.program)},v.dispose=function(){for(var p=this.gl.lastAttribCount,k=0;k<p;k++)this.gl.disableVertexAttribArray(k);this.gl.lastAttribCount=0,this._fref&&this._fref.dispose(),this._vref&&this._vref.dispose(),this.attributes=this.types=this.vertShader=this.fragShader=this.program=this._relink=this._fref=this._vref=null};function _(p,k){return p.name<k.name?-1:1}v.update=function(p,k,E,S){if(!k||arguments.length===1){var L=p;p=L.vertex,k=L.fragment,E=L.uniforms,S=L.attributes}var x=this,C=x.gl,M=x._vref;x._vref=c.shader(C,C.VERTEX_SHADER,p),M&&M.dispose(),x.vertShader=x._vref.shader;var g=this._fref;if(x._fref=c.shader(C,C.FRAGMENT_SHADER,k),g&&g.dispose(),x.fragShader=x._fref.shader,!E||!S){var P=C.createProgram();if(C.attachShader(P,x.fragShader),C.attachShader(P,x.vertShader),C.linkProgram(P),!C.getProgramParameter(P,C.LINK_STATUS)){var T=C.getProgramInfoLog(P);throw new h(T,\"Error linking program:\"+T)}E=E||f.uniforms(C,P),S=S||f.attributes(C,P),C.deleteProgram(P)}S=S.slice(),S.sort(_);var z=[],O=[],V=[],G;for(G=0;G<S.length;++G){var Z=S[G];if(Z.type.indexOf(\"mat\")>=0){for(var j=Z.type.charAt(Z.type.length-1)|0,N=new Array(j),H=0;H<j;++H)N[H]=V.length,O.push(Z.name+\"[\"+H+\"]\"),typeof Z.location==\"number\"?V.push(Z.location+H):Array.isArray(Z.location)&&Z.location.length===j&&typeof Z.location[H]==\"number\"?V.push(Z.location[H]|0):V.push(-1);z.push({name:Z.name,type:Z.type,locations:N})}else z.push({name:Z.name,type:Z.type,locations:[V.length]}),O.push(Z.name),typeof Z.location==\"number\"?V.push(Z.location|0):V.push(-1)}var te=0;for(G=0;G<V.length;++G)if(V[G]<0){for(;V.indexOf(te)>=0;)te+=1;V[G]=te}var oe=new Array(E.length);function _e(){x.program=c.program(C,x._vref,x._fref,O,V);for(var Ee=0;Ee<E.length;++Ee)oe[Ee]=C.getUniformLocation(x.program,E[Ee].name)}_e(),x._relink=_e,x.types={uniforms:u(E),attributes:u(S)},x.attributes=l(C,x,z,V),Object.defineProperty(x,\"uniforms\",s(C,x,E,oe))};function b(p,k,E,S,L){var x=new d(p);return x.update(k,E,S,L),x}i.exports=b},9499:function(i,a,o){\"use strict\";i.exports=Fe;var s=o(8828),l=o(2762),u=o(8116),c=o(7766),f=o(1888),h=o(6729),d=o(5298),v=o(9994),_=o(9618),b=o(3711),p=o(6760),k=o(7608),E=o(2478),S=o(6199),L=o(990),x=L.createShader,C=L.createContourShader,M=L.createPickShader,g=L.createPickContourShader,P=4*10,T=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],z=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],O=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];(function(){for(var Pe=0;Pe<3;++Pe){var ge=O[Pe],Re=(Pe+1)%3,ce=(Pe+2)%3;ge[Re+0]=1,ge[ce+3]=1,ge[Pe+6]=1}})();function V(Pe,ge,Re,ce,Ze){this.position=Pe,this.index=ge,this.uv=Re,this.level=ce,this.dataCoordinate=Ze}var G=256;function Z(Pe,ge,Re,ce,Ze,ut,pt,Zt,st,lt,Gt,Nt,Jt,sr,wr){this.gl=Pe,this.shape=ge,this.bounds=Re,this.objectOffset=wr,this.intensityBounds=[],this._shader=ce,this._pickShader=Ze,this._coordinateBuffer=ut,this._vao=pt,this._colorMap=Zt,this._contourShader=st,this._contourPickShader=lt,this._contourBuffer=Gt,this._contourVAO=Nt,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new V([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=Jt,this._dynamicVAO=sr,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.mallocFloat(1024),[0,0]),_(f.mallocFloat(1024),[0,0]),_(f.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 j=Z.prototype;j.genColormap=function(Pe,ge){var Re=!1,ce=v([h({colormap:Pe,nshades:G,format:\"rgba\"}).map(function(Ze,ut){var pt=ge?N(ut/255,ge):Ze[3];return pt<1&&(Re=!0),[Ze[0],Ze[1],Ze[2],255*pt]})]);return d.divseq(ce,255),this.hasAlphaScale=Re,ce},j.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},j.isOpaque=function(){return!this.isTransparent()},j.pickSlots=1,j.setPickBase=function(Pe){this.pickId=Pe};function N(Pe,ge){if(!ge||!ge.length)return 1;for(var Re=0;Re<ge.length;++Re){if(ge.length<2)return 1;if(ge[Re][0]===Pe)return ge[Re][1];if(ge[Re][0]>Pe&&Re>0){var ce=(ge[Re][0]-Pe)/(ge[Re][0]-ge[Re-1][0]);return ge[Re][1]*(1-ce)+ce*ge[Re-1][1]}}return 1}var H=[0,0,0],te={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 oe(Pe,ge){var Re,ce,Ze,ut=ge.axes&&ge.axes.lastCubeProps.axis||H,pt=ge.showSurface,Zt=ge.showContour;for(Re=0;Re<3;++Re)for(pt=pt||ge.surfaceProject[Re],ce=0;ce<3;++ce)Zt=Zt||ge.contourProject[Re][ce];for(Re=0;Re<3;++Re){var st=te.projections[Re];for(ce=0;ce<16;++ce)st[ce]=0;for(ce=0;ce<4;++ce)st[5*ce]=1;st[5*Re]=0,st[12+Re]=ge.axesBounds[+(ut[Re]>0)][Re],p(st,Pe.model,st);var lt=te.clipBounds[Re];for(Ze=0;Ze<2;++Ze)for(ce=0;ce<3;++ce)lt[Ze][ce]=Pe.clipBounds[Ze][ce];lt[0][Re]=-1e8,lt[1][Re]=1e8}return te.showSurface=pt,te.showContour=Zt,te}var _e={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},Ee=T.slice(),Ce=[1,0,0,0,1,0,0,0,1];function me(Pe,ge){Pe=Pe||{};var Re=this.gl;Re.disable(Re.CULL_FACE),this._colorMap.bind(0);var ce=_e;ce.model=Pe.model||T,ce.view=Pe.view||T,ce.projection=Pe.projection||T,ce.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],ce.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],ce.objectOffset=this.objectOffset,ce.contourColor=this.contourColor[0],ce.inverseModel=k(ce.inverseModel,ce.model);for(var Ze=0;Ze<2;++Ze)for(var ut=ce.clipBounds[Ze],pt=0;pt<3;++pt)ut[pt]=Math.min(Math.max(this.clipBounds[Ze][pt],-1e8),1e8);ce.kambient=this.ambientLight,ce.kdiffuse=this.diffuseLight,ce.kspecular=this.specularLight,ce.roughness=this.roughness,ce.fresnel=this.fresnel,ce.opacity=this.opacity,ce.height=0,ce.permutation=Ce,ce.vertexColor=this.vertexColor;var Zt=Ee;for(p(Zt,ce.view,ce.model),p(Zt,ce.projection,Zt),k(Zt,Zt),Ze=0;Ze<3;++Ze)ce.eyePosition[Ze]=Zt[12+Ze]/Zt[15];var st=Zt[15];for(Ze=0;Ze<3;++Ze)st+=this.lightPosition[Ze]*Zt[4*Ze+3];for(Ze=0;Ze<3;++Ze){var lt=Zt[12+Ze];for(pt=0;pt<3;++pt)lt+=Zt[4*pt+Ze]*this.lightPosition[pt];ce.lightPosition[Ze]=lt/st}var Gt=oe(ce,this);if(Gt.showSurface){for(this._shader.bind(),this._shader.uniforms=ce,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(Re.TRIANGLES,this._vertexCount),Ze=0;Ze<3;++Ze)!this.surfaceProject[Ze]||!this.vertexCount||(this._shader.uniforms.model=Gt.projections[Ze],this._shader.uniforms.clipBounds=Gt.clipBounds[Ze],this._vao.draw(Re.TRIANGLES,this._vertexCount));this._vao.unbind()}if(Gt.showContour){var Nt=this._contourShader;ce.kambient=1,ce.kdiffuse=0,ce.kspecular=0,ce.opacity=1,Nt.bind(),Nt.uniforms=ce;var Jt=this._contourVAO;for(Jt.bind(),Ze=0;Ze<3;++Ze)for(Nt.uniforms.permutation=O[Ze],Re.lineWidth(this.contourWidth[Ze]*this.pixelRatio),pt=0;pt<this.contourLevels[Ze].length;++pt)pt===this.highlightLevel[Ze]?(Nt.uniforms.contourColor=this.highlightColor[Ze],Nt.uniforms.contourTint=this.highlightTint[Ze]):(pt===0||pt-1===this.highlightLevel[Ze])&&(Nt.uniforms.contourColor=this.contourColor[Ze],Nt.uniforms.contourTint=this.contourTint[Ze]),this._contourCounts[Ze][pt]&&(Nt.uniforms.height=this.contourLevels[Ze][pt],Jt.draw(Re.LINES,this._contourCounts[Ze][pt],this._contourOffsets[Ze][pt]));for(Ze=0;Ze<3;++Ze)for(Nt.uniforms.model=Gt.projections[Ze],Nt.uniforms.clipBounds=Gt.clipBounds[Ze],pt=0;pt<3;++pt)if(this.contourProject[Ze][pt]){Nt.uniforms.permutation=O[pt],Re.lineWidth(this.contourWidth[pt]*this.pixelRatio);for(var sr=0;sr<this.contourLevels[pt].length;++sr)sr===this.highlightLevel[pt]?(Nt.uniforms.contourColor=this.highlightColor[pt],Nt.uniforms.contourTint=this.highlightTint[pt]):(sr===0||sr-1===this.highlightLevel[pt])&&(Nt.uniforms.contourColor=this.contourColor[pt],Nt.uniforms.contourTint=this.contourTint[pt]),this._contourCounts[pt][sr]&&(Nt.uniforms.height=this.contourLevels[pt][sr],Jt.draw(Re.LINES,this._contourCounts[pt][sr],this._contourOffsets[pt][sr]))}for(Jt.unbind(),Jt=this._dynamicVAO,Jt.bind(),Ze=0;Ze<3;++Ze)if(this._dynamicCounts[Ze]!==0)for(Nt.uniforms.model=ce.model,Nt.uniforms.clipBounds=ce.clipBounds,Nt.uniforms.permutation=O[Ze],Re.lineWidth(this.dynamicWidth[Ze]*this.pixelRatio),Nt.uniforms.contourColor=this.dynamicColor[Ze],Nt.uniforms.contourTint=this.dynamicTint[Ze],Nt.uniforms.height=this.dynamicLevel[Ze],Jt.draw(Re.LINES,this._dynamicCounts[Ze],this._dynamicOffsets[Ze]),pt=0;pt<3;++pt)this.contourProject[pt][Ze]&&(Nt.uniforms.model=Gt.projections[pt],Nt.uniforms.clipBounds=Gt.clipBounds[pt],Jt.draw(Re.LINES,this._dynamicCounts[Ze],this._dynamicOffsets[Ze]));Jt.unbind()}}j.draw=function(Pe){return me.call(this,Pe,!1)},j.drawTransparent=function(Pe){return me.call(this,Pe,!0)};var ie={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]};j.drawPick=function(Pe){Pe=Pe||{};var ge=this.gl;ge.disable(ge.CULL_FACE);var Re=ie;Re.model=Pe.model||T,Re.view=Pe.view||T,Re.projection=Pe.projection||T,Re.shape=this._field[2].shape,Re.pickId=this.pickId/255,Re.lowerBound=this.bounds[0],Re.upperBound=this.bounds[1],Re.objectOffset=this.objectOffset,Re.permutation=Ce;for(var ce=0;ce<2;++ce)for(var Ze=Re.clipBounds[ce],ut=0;ut<3;++ut)Ze[ut]=Math.min(Math.max(this.clipBounds[ce][ut],-1e8),1e8);var pt=oe(Re,this);if(pt.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=Re,this._vao.bind(),this._vao.draw(ge.TRIANGLES,this._vertexCount),ce=0;ce<3;++ce)this.surfaceProject[ce]&&(this._pickShader.uniforms.model=pt.projections[ce],this._pickShader.uniforms.clipBounds=pt.clipBounds[ce],this._vao.draw(ge.TRIANGLES,this._vertexCount));this._vao.unbind()}if(pt.showContour){var Zt=this._contourPickShader;Zt.bind(),Zt.uniforms=Re;var st=this._contourVAO;for(st.bind(),ut=0;ut<3;++ut)for(ge.lineWidth(this.contourWidth[ut]*this.pixelRatio),Zt.uniforms.permutation=O[ut],ce=0;ce<this.contourLevels[ut].length;++ce)this._contourCounts[ut][ce]&&(Zt.uniforms.height=this.contourLevels[ut][ce],st.draw(ge.LINES,this._contourCounts[ut][ce],this._contourOffsets[ut][ce]));for(ce=0;ce<3;++ce)for(Zt.uniforms.model=pt.projections[ce],Zt.uniforms.clipBounds=pt.clipBounds[ce],ut=0;ut<3;++ut)if(this.contourProject[ce][ut]){Zt.uniforms.permutation=O[ut],ge.lineWidth(this.contourWidth[ut]*this.pixelRatio);for(var lt=0;lt<this.contourLevels[ut].length;++lt)this._contourCounts[ut][lt]&&(Zt.uniforms.height=this.contourLevels[ut][lt],st.draw(ge.LINES,this._contourCounts[ut][lt],this._contourOffsets[ut][lt]))}st.unbind()}},j.pick=function(Pe){if(!Pe||Pe.id!==this.pickId)return null;var ge=this._field[2].shape,Re=this._pickResult,ce=ge[0]*(Pe.value[0]+(Pe.value[2]>>4)/16)/255,Ze=Math.floor(ce),ut=ce-Ze,pt=ge[1]*(Pe.value[1]+(Pe.value[2]&15)/16)/255,Zt=Math.floor(pt),st=pt-Zt;Ze+=1,Zt+=1;var lt=Re.position;lt[0]=lt[1]=lt[2]=0;for(var Gt=0;Gt<2;++Gt)for(var Nt=Gt?ut:1-ut,Jt=0;Jt<2;++Jt)for(var sr=Jt?st:1-st,wr=Ze+Gt,cr=Zt+Jt,$e=Nt*sr,St=0;St<3;++St)lt[St]+=this._field[St].get(wr,cr)*$e;for(var Qt=this._pickResult.level,Vt=0;Vt<3;++Vt)if(Qt[Vt]=E.le(this.contourLevels[Vt],lt[Vt]),Qt[Vt]<0)this.contourLevels[Vt].length>0&&(Qt[Vt]=0);else if(Qt[Vt]<this.contourLevels[Vt].length-1){var _t=this.contourLevels[Vt][Qt[Vt]],It=this.contourLevels[Vt][Qt[Vt]+1];Math.abs(_t-lt[Vt])>Math.abs(It-lt[Vt])&&(Qt[Vt]+=1)}for(Re.index[0]=ut<.5?Ze:Ze+1,Re.index[1]=st<.5?Zt:Zt+1,Re.uv[0]=ce/ge[0],Re.uv[1]=pt/ge[1],St=0;St<3;++St)Re.dataCoordinate[St]=this._field[St].get(Re.index[0],Re.index[1]);return Re},j.padField=function(Pe,ge){var Re=ge.shape.slice(),ce=Pe.shape.slice();d.assign(Pe.lo(1,1).hi(Re[0],Re[1]),ge),d.assign(Pe.lo(1).hi(Re[0],1),ge.hi(Re[0],1)),d.assign(Pe.lo(1,ce[1]-1).hi(Re[0],1),ge.lo(0,Re[1]-1).hi(Re[0],1)),d.assign(Pe.lo(0,1).hi(1,Re[1]),ge.hi(1)),d.assign(Pe.lo(ce[0]-1,1).hi(1,Re[1]),ge.lo(Re[0]-1)),Pe.set(0,0,ge.get(0,0)),Pe.set(0,ce[1]-1,ge.get(0,Re[1]-1)),Pe.set(ce[0]-1,0,ge.get(Re[0]-1,0)),Pe.set(ce[0]-1,ce[1]-1,ge.get(Re[0]-1,Re[1]-1))};function Se(Pe,ge){return Array.isArray(Pe)?[ge(Pe[0]),ge(Pe[1]),ge(Pe[2])]:[ge(Pe),ge(Pe),ge(Pe)]}function Le(Pe){return Array.isArray(Pe)?Pe.length===3?[Pe[0],Pe[1],Pe[2],1]:[Pe[0],Pe[1],Pe[2],Pe[3]]:[0,0,0,1]}function Ae(Pe){if(Array.isArray(Pe)){if(Array.isArray(Pe))return[Le(Pe[0]),Le(Pe[1]),Le(Pe[2])];var ge=Le(Pe);return[ge.slice(),ge.slice(),ge.slice()]}}j.update=function(Pe){Pe=Pe||{},this.objectOffset=Pe.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in Pe&&(this.contourWidth=Se(Pe.contourWidth,Number)),\"showContour\"in Pe&&(this.showContour=Se(Pe.showContour,Boolean)),\"showSurface\"in Pe&&(this.showSurface=!!Pe.showSurface),\"contourTint\"in Pe&&(this.contourTint=Se(Pe.contourTint,Boolean)),\"contourColor\"in Pe&&(this.contourColor=Ae(Pe.contourColor)),\"contourProject\"in Pe&&(this.contourProject=Se(Pe.contourProject,function(yn){return Se(yn,Boolean)})),\"surfaceProject\"in Pe&&(this.surfaceProject=Pe.surfaceProject),\"dynamicColor\"in Pe&&(this.dynamicColor=Ae(Pe.dynamicColor)),\"dynamicTint\"in Pe&&(this.dynamicTint=Se(Pe.dynamicTint,Number)),\"dynamicWidth\"in Pe&&(this.dynamicWidth=Se(Pe.dynamicWidth,Number)),\"opacity\"in Pe&&(this.opacity=Pe.opacity),\"opacityscale\"in Pe&&(this.opacityscale=Pe.opacityscale),\"colorBounds\"in Pe&&(this.colorBounds=Pe.colorBounds),\"vertexColor\"in Pe&&(this.vertexColor=Pe.vertexColor?1:0),\"colormap\"in Pe&&this._colorMap.setPixels(this.genColormap(Pe.colormap,this.opacityscale));var ge=Pe.field||Pe.coords&&Pe.coords[2]||null,Re=!1;if(ge||(this._field[2].shape[0]||this._field[2].shape[2]?ge=this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):ge=this._field[2].hi(0,0)),\"field\"in Pe||\"coords\"in Pe){var ce=(ge.shape[0]+2)*(ge.shape[1]+2);ce>this._field[2].data.length&&(f.freeFloat(this._field[2].data),this._field[2].data=f.mallocFloat(s.nextPow2(ce))),this._field[2]=_(this._field[2].data,[ge.shape[0]+2,ge.shape[1]+2]),this.padField(this._field[2],ge),this.shape=ge.shape.slice();for(var Ze=this.shape,ut=0;ut<2;++ut)this._field[2].size>this._field[ut].data.length&&(f.freeFloat(this._field[ut].data),this._field[ut].data=f.mallocFloat(this._field[2].size)),this._field[ut]=_(this._field[ut].data,[Ze[0]+2,Ze[1]+2]);if(Pe.coords){var pt=Pe.coords;if(!Array.isArray(pt)||pt.length!==3)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(ut=0;ut<2;++ut){var Zt=pt[ut];for(Jt=0;Jt<2;++Jt)if(Zt.shape[Jt]!==Ze[Jt])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[ut],Zt)}}else if(Pe.ticks){var st=Pe.ticks;if(!Array.isArray(st)||st.length!==2)throw new Error(\"gl-surface: invalid ticks\");for(ut=0;ut<2;++ut){var lt=st[ut];if((Array.isArray(lt)||lt.length)&&(lt=_(lt)),lt.shape[0]!==Ze[ut])throw new Error(\"gl-surface: invalid tick length\");var Gt=_(lt.data,Ze);Gt.stride[ut]=lt.stride[0],Gt.stride[ut^1]=0,this.padField(this._field[ut],Gt)}}else{for(ut=0;ut<2;++ut){var Nt=[0,0];Nt[ut]=1,this._field[ut]=_(this._field[ut].data,[Ze[0]+2,Ze[1]+2],Nt,0)}this._field[0].set(0,0,0);for(var Jt=0;Jt<Ze[0];++Jt)this._field[0].set(Jt+1,0,Jt);for(this._field[0].set(Ze[0]+1,0,Ze[0]-1),this._field[1].set(0,0,0),Jt=0;Jt<Ze[1];++Jt)this._field[1].set(0,Jt+1,Jt);this._field[1].set(0,Ze[1]+1,Ze[1]-1)}var sr=this._field,wr=_(f.mallocFloat(sr[2].size*3*2),[3,Ze[0]+2,Ze[1]+2,2]);for(ut=0;ut<3;++ut)S(wr.pick(ut),sr[ut],\"mirror\");var cr=_(f.mallocFloat(sr[2].size*3),[Ze[0]+2,Ze[1]+2,3]);for(ut=0;ut<Ze[0]+2;++ut)for(Jt=0;Jt<Ze[1]+2;++Jt){var $e=wr.get(0,ut,Jt,0),St=wr.get(0,ut,Jt,1),Qt=wr.get(1,ut,Jt,0),Vt=wr.get(1,ut,Jt,1),_t=wr.get(2,ut,Jt,0),It=wr.get(2,ut,Jt,1),mt=Qt*It-Vt*_t,er=_t*St-It*$e,lr=$e*Vt-St*Qt,Tr=Math.sqrt(mt*mt+er*er+lr*lr);Tr<1e-8?(Tr=Math.max(Math.abs(mt),Math.abs(er),Math.abs(lr)),Tr<1e-8?(lr=1,er=mt=0,Tr=1):Tr=1/Tr):Tr=1/Math.sqrt(Tr),cr.set(ut,Jt,0,mt*Tr),cr.set(ut,Jt,1,er*Tr),cr.set(ut,Jt,2,lr*Tr)}f.free(wr.data);var Lr=[1/0,1/0,1/0],ti=[-1/0,-1/0,-1/0],Br=1/0,Vr=-1/0,dt=(Ze[0]-1)*(Ze[1]-1)*6,Ge=f.mallocFloat(s.nextPow2(10*dt)),Je=0,je=0;for(ut=0;ut<Ze[0]-1;++ut)e:for(Jt=0;Jt<Ze[1]-1;++Jt){for(var tt=0;tt<2;++tt)for(var xt=0;xt<2;++xt)for(var Ie=0;Ie<3;++Ie){var xe=this._field[Ie].get(1+ut+tt,1+Jt+xt);if(isNaN(xe)||!isFinite(xe))continue e}for(Ie=0;Ie<6;++Ie){var ke=ut+z[Ie][0],vt=Jt+z[Ie][1],ir=this._field[0].get(ke+1,vt+1),ar=this._field[1].get(ke+1,vt+1);xe=this._field[2].get(ke+1,vt+1),mt=cr.get(ke+1,vt+1,0),er=cr.get(ke+1,vt+1,1),lr=cr.get(ke+1,vt+1,2),Pe.intensity&&(vr=Pe.intensity.get(ke,vt));var vr=Pe.intensity?Pe.intensity.get(ke,vt):xe+this.objectOffset[2];Ge[Je++]=ke,Ge[Je++]=vt,Ge[Je++]=ir,Ge[Je++]=ar,Ge[Je++]=xe,Ge[Je++]=0,Ge[Je++]=vr,Ge[Je++]=mt,Ge[Je++]=er,Ge[Je++]=lr,Lr[0]=Math.min(Lr[0],ir+this.objectOffset[0]),Lr[1]=Math.min(Lr[1],ar+this.objectOffset[1]),Lr[2]=Math.min(Lr[2],xe+this.objectOffset[2]),Br=Math.min(Br,vr),ti[0]=Math.max(ti[0],ir+this.objectOffset[0]),ti[1]=Math.max(ti[1],ar+this.objectOffset[1]),ti[2]=Math.max(ti[2],xe+this.objectOffset[2]),Vr=Math.max(Vr,vr),je+=1}}for(Pe.intensityBounds&&(Br=+Pe.intensityBounds[0],Vr=+Pe.intensityBounds[1]),ut=6;ut<Je;ut+=10)Ge[ut]=(Ge[ut]-Br)/(Vr-Br);this._vertexCount=je,this._coordinateBuffer.update(Ge.subarray(0,Je)),f.freeFloat(Ge),f.free(cr.data),this.bounds=[Lr,ti],this.intensity=Pe.intensity||this._field[2],(this.intensityBounds[0]!==Br||this.intensityBounds[1]!==Vr)&&(Re=!0),this.intensityBounds=[Br,Vr]}if(\"levels\"in Pe){var ii=Pe.levels;for(Array.isArray(ii[0])?ii=ii.slice():ii=[[],[],ii],ut=0;ut<3;++ut)ii[ut]=ii[ut].slice(),ii[ut].sort(function(yn,Sn){return yn-Sn});for(ut=0;ut<3;++ut)for(Jt=0;Jt<ii[ut].length;++Jt)ii[ut][Jt]-=this.objectOffset[ut];e:for(ut=0;ut<3;++ut){if(ii[ut].length!==this.contourLevels[ut].length){Re=!0;break}for(Jt=0;Jt<ii[ut].length;++Jt)if(ii[ut][Jt]!==this.contourLevels[ut][Jt]){Re=!0;break e}}this.contourLevels=ii}if(Re){sr=this._field,Ze=this.shape;for(var pi=[],$r=0;$r<3;++$r){var di=this.contourLevels[$r],ji=[],In=[],wi=[0,0,0];for(ut=0;ut<di.length;++ut){var On=b(this._field[$r],di[ut]);ji.push(pi.length/5|0),je=0;e:for(Jt=0;Jt<On.cells.length;++Jt){var qn=On.cells[Jt];for(Ie=0;Ie<2;++Ie){var Fn=On.positions[qn[Ie]],ra=Fn[0],la=Math.floor(ra)|0,Ut=ra-la,wt=Fn[1],rr=Math.floor(wt)|0,nr=wt-rr,Er=!1;t:for(var Xr=0;Xr<3;++Xr){wi[Xr]=0;var ri=($r+Xr+1)%3;for(tt=0;tt<2;++tt){var Qr=tt?Ut:1-Ut;for(ke=Math.min(Math.max(la+tt,0),Ze[0])|0,xt=0;xt<2;++xt){var Oi=xt?nr:1-nr;if(vt=Math.min(Math.max(rr+xt,0),Ze[1])|0,Xr<2?xe=this._field[ri].get(ke,vt):xe=(this.intensity.get(ke,vt)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(xe)||isNaN(xe)){Er=!0;break t}var $i=Qr*Oi;wi[Xr]+=$i*xe}}}if(!Er)pi.push(wi[0],wi[1],Fn[0],Fn[1],wi[2]),je+=1;else{if(Ie>0){for(var tn=0;tn<5;++tn)pi.pop();je-=1}continue e}}}In.push(je)}this._contourOffsets[$r]=ji,this._contourCounts[$r]=In}var fn=f.mallocFloat(pi.length);for(ut=0;ut<pi.length;++ut)fn[ut]=pi[ut];this._contourBuffer.update(fn),f.freeFloat(fn)}},j.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 Pe=0;Pe<3;++Pe)f.freeFloat(this._field[Pe].data)},j.highlight=function(Pe){var ge;if(!Pe){this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],this.highlightLevel=[-1,-1,-1];return}for(ge=0;ge<3;++ge)this.enableHighlight[ge]?this.highlightLevel[ge]=Pe.level[ge]:this.highlightLevel[ge]=-1;var Re;for(this.snapToData?Re=Pe.dataCoordinate:Re=Pe.position,ge=0;ge<3;++ge)Re[ge]-=this.objectOffset[ge];if(!((!this.enableDynamic[0]||Re[0]===this.dynamicLevel[0])&&(!this.enableDynamic[1]||Re[1]===this.dynamicLevel[1])&&(!this.enableDynamic[2]||Re[2]===this.dynamicLevel[2]))){for(var ce=0,Ze=this.shape,ut=f.mallocFloat(12*Ze[0]*Ze[1]),pt=0;pt<3;++pt){if(!this.enableDynamic[pt]){this.dynamicLevel[pt]=NaN,this._dynamicCounts[pt]=0;continue}this.dynamicLevel[pt]=Re[pt];var Zt=(pt+1)%3,st=(pt+2)%3,lt=this._field[pt],Gt=this._field[Zt],Nt=this._field[st],Jt=b(lt,Re[pt]),sr=Jt.cells,wr=Jt.positions;for(this._dynamicOffsets[pt]=ce,ge=0;ge<sr.length;++ge)for(var cr=sr[ge],$e=0;$e<2;++$e){var St=wr[cr[$e]],Qt=+St[0],Vt=Qt|0,_t=Math.min(Vt+1,Ze[0])|0,It=Qt-Vt,mt=1-It,er=+St[1],lr=er|0,Tr=Math.min(lr+1,Ze[1])|0,Lr=er-lr,ti=1-Lr,Br=mt*ti,Vr=mt*Lr,dt=It*ti,Ge=It*Lr,Je=Br*Gt.get(Vt,lr)+Vr*Gt.get(Vt,Tr)+dt*Gt.get(_t,lr)+Ge*Gt.get(_t,Tr),je=Br*Nt.get(Vt,lr)+Vr*Nt.get(Vt,Tr)+dt*Nt.get(_t,lr)+Ge*Nt.get(_t,Tr);if(isNaN(Je)||isNaN(je)){$e&&(ce-=1);break}ut[2*ce+0]=Je,ut[2*ce+1]=je,ce+=1}this._dynamicCounts[pt]=ce-this._dynamicOffsets[pt]}this._dynamicBuffer.update(ut.subarray(0,2*ce)),f.freeFloat(ut)}};function Fe(Pe){var ge=Pe.gl,Re=x(ge),ce=M(ge),Ze=C(ge),ut=g(ge),pt=l(ge),Zt=u(ge,[{buffer:pt,size:4,stride:P,offset:0},{buffer:pt,size:3,stride:P,offset:16},{buffer:pt,size:3,stride:P,offset:28}]),st=l(ge),lt=u(ge,[{buffer:st,size:4,stride:20,offset:0},{buffer:st,size:1,stride:20,offset:16}]),Gt=l(ge),Nt=u(ge,[{buffer:Gt,size:2,type:ge.FLOAT}]),Jt=c(ge,1,G,ge.RGBA,ge.UNSIGNED_BYTE);Jt.minFilter=ge.LINEAR,Jt.magFilter=ge.LINEAR;var sr=new Z(ge,[0,0],[[0,0,0],[0,0,0]],Re,ce,pt,Zt,Jt,Ze,ut,st,lt,Gt,Nt,[0,0,0]),wr={levels:[[],[],[]]};for(var cr in Pe)wr[cr]=Pe[cr];return wr.colormap=wr.colormap||\"jet\",sr.update(wr),sr}},9507:function(i){i.exports=!0},9618:function(i,a,o){var s=o(7163),l=typeof Float64Array!=\"undefined\";function u(b,p){return b[0]-p[0]}function c(){var b=this.stride,p=new Array(b.length),k;for(k=0;k<p.length;++k)p[k]=[Math.abs(b[k]),k];p.sort(u);var E=new Array(p.length);for(k=0;k<E.length;++k)E[k]=p[k][1];return E}var f={T:function(b){function p(E){this.data=E}var k=p.prototype;return k.dtype=b,k.index=function(){return-1},k.size=0,k.dimension=-1,k.shape=k.stride=k.order=[],k.lo=k.hi=k.transpose=k.step=function(){return new p(this.data)},k.get=k.set=function(){},k.pick=function(){return null},function(S){return new p(S)}},0:function(b,p){function k(S,L){this.data=S,this.offset=L}var E=k.prototype;return E.dtype=b,E.index=function(){return 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E(this.data,typeof x!=\"number\"||x<0?this.shape[0]:x|0,this.stride[0],this.offset)},S.lo=function(x){var C=this.offset,M=0,g=this.shape[0],P=this.stride[0];return typeof x==\"number\"&&x>=0&&(M=x|0,C+=P*M,g-=M),new E(this.data,g,P,C)},S.step=function(x){var C=this.shape[0],M=this.stride[0],g=this.offset,P=0,T=Math.ceil;return typeof x==\"number\"&&(P=x|0,P<0?(g+=M*(C-1),C=T(-C/P)):C=T(C/P),M*=P),new E(this.data,C,M,g)},S.transpose=function(x){x=x===void 0?0:x|0;var C=this.shape,M=this.stride;return new E(this.data,C[x],M[x],this.offset)},S.pick=function(x){var C=[],M=[],g=this.offset;typeof x==\"number\"&&x>=0?g=g+this.stride[0]*x|0:(C.push(this.shape[0]),M.push(this.stride[0]));var P=p[C.length+1];return P(this.data,C,M,g)},function(x,C,M,g){return new E(x,C[0],M[0],g)}},2:function(b,p,k){function E(L,x,C,M,g,P){this.data=L,this.shape=[x,C],this.stride=[M,g],this.offset=P|0}var S=E.prototype;return S.dtype=b,S.dimension=2,Object.defineProperty(S,\"size\",{get:function(){return 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M=this.shape[0],g=this.shape[1],P=this.stride[0],T=this.stride[1],z=this.offset,O=0,V=Math.ceil;return typeof x==\"number\"&&(O=x|0,O<0?(z+=P*(M-1),M=V(-M/O)):M=V(M/O),P*=O),typeof C==\"number\"&&(O=C|0,O<0?(z+=T*(g-1),g=V(-g/O)):g=V(g/O),T*=O),new E(this.data,M,g,P,T,z)},S.transpose=function(x,C){x=x===void 0?0:x|0,C=C===void 0?1:C|0;var M=this.shape,g=this.stride;return new E(this.data,M[x],M[C],g[x],g[C],this.offset)},S.pick=function(x,C){var M=[],g=[],P=this.offset;typeof x==\"number\"&&x>=0?P=P+this.stride[0]*x|0:(M.push(this.shape[0]),g.push(this.stride[0])),typeof C==\"number\"&&C>=0?P=P+this.stride[1]*C|0:(M.push(this.shape[1]),g.push(this.stride[1]));var T=p[M.length+1];return T(this.data,M,g,P)},function(x,C,M,g){return new E(x,C[0],C[1],M[0],M[1],g)}},3:function(b,p,k){function E(L,x,C,M,g,P,T,z){this.data=L,this.shape=[x,C,M],this.stride=[g,P,T],this.offset=z|0}var S=E.prototype;return S.dtype=b,S.dimension=3,Object.defineProperty(S,\"size\",{get:function(){return 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E(this.data,g[x],g[C],g[M],P[x],P[C],P[M],this.offset)},S.pick=function(x,C,M){var g=[],P=[],T=this.offset;typeof x==\"number\"&&x>=0?T=T+this.stride[0]*x|0:(g.push(this.shape[0]),P.push(this.stride[0])),typeof C==\"number\"&&C>=0?T=T+this.stride[1]*C|0:(g.push(this.shape[1]),P.push(this.stride[1])),typeof M==\"number\"&&M>=0?T=T+this.stride[2]*M|0:(g.push(this.shape[2]),P.push(this.stride[2]));var z=p[g.length+1];return z(this.data,g,P,T)},function(x,C,M,g){return new E(x,C[0],C[1],C[2],M[0],M[1],M[2],g)}},4:function(b,p,k){function E(L,x,C,M,g,P,T,z,O,V){this.data=L,this.shape=[x,C,M,g],this.stride=[P,T,z,O],this.offset=V|0}var S=E.prototype;return S.dtype=b,S.dimension=4,Object.defineProperty(S,\"size\",{get:function(){return this.shape[0]*this.shape[1]*this.shape[2]*this.shape[3]}}),Object.defineProperty(S,\"order\",{get:k}),S.set=function(x,C,M,g,P){return b===\"generic\"?this.data.set(this.offset+this.stride[0]*x+this.stride[1]*C+this.stride[2]*M+this.stride[3]*g,P):this.data[this.offset+this.stride[0]*x+this.stride[1]*C+this.stride[2]*M+this.stride[3]*g]=P},S.get=function(x,C,M,g){return b===\"generic\"?this.data.get(this.offset+this.stride[0]*x+this.stride[1]*C+this.stride[2]*M+this.stride[3]*g):this.data[this.offset+this.stride[0]*x+this.stride[1]*C+this.stride[2]*M+this.stride[3]*g]},S.index=function(x,C,M,g){return this.offset+this.stride[0]*x+this.stride[1]*C+this.stride[2]*M+this.stride[3]*g},S.hi=function(x,C,M,g){return new E(this.data,typeof x!=\"number\"||x<0?this.shape[0]:x|0,typeof C!=\"number\"||C<0?this.shape[1]:C|0,typeof M!=\"number\"||M<0?this.shape[2]:M|0,typeof g!=\"number\"||g<0?this.shape[3]:g|0,this.stride[0],this.stride[1],this.stride[2],this.stride[3],this.offset)},S.lo=function(x,C,M,g){var P=this.offset,T=0,z=this.shape[0],O=this.shape[1],V=this.shape[2],G=this.shape[3],Z=this.stride[0],j=this.stride[1],N=this.stride[2],H=this.stride[3];return typeof x==\"number\"&&x>=0&&(T=x|0,P+=Z*T,z-=T),typeof C==\"number\"&&C>=0&&(T=C|0,P+=j*T,O-=T),typeof M==\"number\"&&M>=0&&(T=M|0,P+=N*T,V-=T),typeof g==\"number\"&&g>=0&&(T=g|0,P+=H*T,G-=T),new E(this.data,z,O,V,G,Z,j,N,H,P)},S.step=function(x,C,M,g){var P=this.shape[0],T=this.shape[1],z=this.shape[2],O=this.shape[3],V=this.stride[0],G=this.stride[1],Z=this.stride[2],j=this.stride[3],N=this.offset,H=0,te=Math.ceil;return typeof x==\"number\"&&(H=x|0,H<0?(N+=V*(P-1),P=te(-P/H)):P=te(P/H),V*=H),typeof C==\"number\"&&(H=C|0,H<0?(N+=G*(T-1),T=te(-T/H)):T=te(T/H),G*=H),typeof M==\"number\"&&(H=M|0,H<0?(N+=Z*(z-1),z=te(-z/H)):z=te(z/H),Z*=H),typeof g==\"number\"&&(H=g|0,H<0?(N+=j*(O-1),O=te(-O/H)):O=te(O/H),j*=H),new E(this.data,P,T,z,O,V,G,Z,j,N)},S.transpose=function(x,C,M,g){x=x===void 0?0:x|0,C=C===void 0?1:C|0,M=M===void 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x=this.computedMatrix,C=x[0],M=x[4],g=x[8],P=x[1],T=x[5],z=x[9],O=x[2],V=x[6],G=x[10],Z=E*C+S*P,j=E*M+S*T,N=E*g+S*z,H=-(V*N-G*j),te=-(G*Z-O*N),oe=-(O*j-V*Z),_e=Math.sqrt(Math.max(0,1-Math.pow(H,2)-Math.pow(te,2)-Math.pow(oe,2))),Ee=d(H,te,oe,_e);Ee>1e-6?(H/=Ee,te/=Ee,oe/=Ee,_e/=Ee):(H=te=oe=0,_e=1);var Ce=this.computedRotation,me=Ce[0],ie=Ce[1],Se=Ce[2],Le=Ce[3],Ae=me*_e+Le*H+ie*oe-Se*te,Fe=ie*_e+Le*te+Se*H-me*oe,Pe=Se*_e+Le*oe+me*te-ie*H,ge=Le*_e-me*H-ie*te-Se*oe;if(L){H=O,te=V,oe=G;var Re=Math.sin(L)/h(H,te,oe);H*=Re,te*=Re,oe*=Re,_e=Math.cos(E),Ae=Ae*_e+ge*H+Fe*oe-Pe*te,Fe=Fe*_e+ge*te+Pe*H-Ae*oe,Pe=Pe*_e+ge*oe+Ae*te-Fe*H,ge=ge*_e-Ae*H-Fe*te-Pe*oe}var ce=d(Ae,Fe,Pe,ge);ce>1e-6?(Ae/=ce,Fe/=ce,Pe/=ce,ge/=ce):(Ae=Fe=Pe=0,ge=1),this.rotation.set(k,Ae,Fe,Pe,ge)},b.lookAt=function(k,E,S,L){this.recalcMatrix(k),S=S||this.computedCenter,E=E||this.computedEye,L=L||this.computedUp;var x=this.computedMatrix;l(x,E,S,L);var C=this.computedRotation;f(C,x[0],x[1],x[2],x[4],x[5],x[6],x[8],x[9],x[10]),v(C,C),this.rotation.set(k,C[0],C[1],C[2],C[3]);for(var M=0,g=0;g<3;++g)M+=Math.pow(S[g]-E[g],2);this.radius.set(k,.5*Math.log(Math.max(M,1e-6))),this.center.set(k,S[0],S[1],S[2])},b.translate=function(k,E,S,L){this.center.move(k,E||0,S||0,L||0)},b.setMatrix=function(k,E){var S=this.computedRotation;f(S,E[0],E[1],E[2],E[4],E[5],E[6],E[8],E[9],E[10]),v(S,S),this.rotation.set(k,S[0],S[1],S[2],S[3]);var L=this.computedMatrix;c(L,E);var x=L[15];if(Math.abs(x)>1e-6){var C=L[12]/x,M=L[13]/x,g=L[14]/x;this.recalcMatrix(k);var P=Math.exp(this.computedRadius[0]);this.center.set(k,C-L[2]*P,M-L[6]*P,g-L[10]*P),this.radius.idle(k)}else 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H=t.projection[N[L]];(S.project[L]=H.show)&&(S.projectOpacity[L]=H.opacity,S.projectScale[L]=H.scale)}S.errorBounds=TIt(t,i,n);var te=SIt([t.error_x,t.error_y,t.error_z]);return S.errorColor=te.color,S.errorLineWidth=te.lineWidth,S.errorCapSize=te.capSize,S.delaunayAxis=t.surfaceaxis,S.delaunayColor=WPe(t.surfacecolor),S}function HPe(e){if(Qy.isArrayOrTypedArray(e)){var t=e[0];return Qy.isArrayOrTypedArray(t)&&(e=t),\"rgb(\"+e.slice(0,3).map(function(r){return Math.round(r*255)})+\")\"}return null}function jPe(e){return Qy.isArrayOrTypedArray(e)?e.length===4&&typeof e[0]==\"number\"?HPe(e):e.map(HPe):null}wX.update=function(e){var t=this.scene.glplot.gl,r,n,i,a,o=xX.solid;this.data=e;var s=CIt(this.scene,e);\"mode\"in s&&(this.mode=s.mode),\"lineDashes\"in s&&s.lineDashes in xX&&(o=xX[s.lineDashes]),this.color=jPe(s.scatterColor)||jPe(s.lineColor),this.dataPoints=s.position,r={gl:this.scene.glplot.gl,position:s.position,color:s.lineColor,lineWidth:s.lineWidth||1,dashes:o[0],dashScale:o[1],opacity:e.opacity,connectGaps:e.connectgaps},this.mode.indexOf(\"lines\")!==-1?this.linePlot?this.linePlot.update(r):(this.linePlot=pIt(r),this.linePlot._trace=this,this.scene.glplot.add(this.linePlot)):this.linePlot&&(this.scene.glplot.remove(this.linePlot),this.linePlot.dispose(),this.linePlot=null);var l=e.opacity;if(e.marker&&e.marker.opacity!==void 0&&(l*=e.marker.opacity),n={gl:this.scene.glplot.gl,position:s.position,color:s.scatterColor,size:s.scatterSize,glyph:s.scatterMarker,opacity:l,orthographic:!0,lineWidth:s.scatterLineWidth,lineColor:s.scatterLineColor,project:s.project,projectScale:s.projectScale,projectOpacity:s.projectOpacity},this.mode.indexOf(\"markers\")!==-1?this.scatterPlot?this.scatterPlot.update(n):(this.scatterPlot=UPe(n),this.scatterPlot._trace=this,this.scatterPlot.highlightScale=1,this.scene.glplot.add(this.scatterPlot)):this.scatterPlot&&(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose(),this.scatterPlot=null),a={gl:this.scene.glplot.gl,position:s.position,glyph:s.text,color:s.textColor,size:s.textSize,angle:s.textAngle,alignment:s.textOffset,font:s.textFontFamily,fontWeight:s.textFontWeight,fontStyle:s.textFontStyle,fontVariant:s.textFontVariant,orthographic:!0,lineWidth:0,project:!1,opacity:e.opacity},this.textLabels=e.hovertext||e.text,this.mode.indexOf(\"text\")!==-1?this.textMarkers?this.textMarkers.update(a):(this.textMarkers=UPe(a),this.textMarkers._trace=this,this.textMarkers.highlightScale=1,this.scene.glplot.add(this.textMarkers)):this.textMarkers&&(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose(),this.textMarkers=null),i={gl:this.scene.glplot.gl,position:s.position,color:s.errorColor,error:s.errorBounds,lineWidth:s.errorLineWidth,capSize:s.errorCapSize,opacity:e.opacity},this.errorBars?s.errorBounds?this.errorBars.update(i):(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose(),this.errorBars=null):s.errorBounds&&(this.errorBars=gIt(i),this.errorBars._trace=this,this.scene.glplot.add(this.errorBars)),s.delaunayAxis>=0){var u=AIt(s.position,s.delaunayColor,s.delaunayAxis);u.opacity=e.opacity,this.delaunayMesh?this.delaunayMesh.update(u):(u.gl=t,this.delaunayMesh=mIt(u),this.delaunayMesh._trace=this,this.scene.glplot.add(this.delaunayMesh))}else this.delaunayMesh&&(this.scene.glplot.remove(this.delaunayMesh),this.delaunayMesh.dispose(),this.delaunayMesh=null)};wX.dispose=function(){this.linePlot&&(this.scene.glplot.remove(this.linePlot),this.linePlot.dispose()),this.scatterPlot&&(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose()),this.errorBars&&(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose()),this.textMarkers&&(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose()),this.delaunayMesh&&(this.scene.glplot.remove(this.delaunayMesh),this.delaunayMesh.dispose())};function LIt(e,t){var r=new XPe(e,t.uid);return r.update(t),r}ZPe.exports=LIt});var EX=ye((egr,QPe)=>{\"use strict\";var e1=pf(),PIt=ec(),MX=Tu(),TX=df().axisHoverFormat,{hovertemplateAttrs:IIt,texttemplateAttrs:RIt,templatefallbackAttrs:KPe}=Ll(),JPe=Gl(),DIt=yX(),FIt=QD(),Kg=Ao().extendFlat,zIt=mc().overrideAll,$Pe=Z1(),OIt=e1.line,V2=e1.marker,qIt=V2.line,BIt=Kg({width:OIt.width,dash:{valType:\"enumerated\",values:$Pe(DIt),dflt:\"solid\"}},MX(\"line\"));function AX(e){return{show:{valType:\"boolean\",dflt:!1},opacity:{valType:\"number\",min:0,max:1,dflt:1},scale:{valType:\"number\",min:0,max:10,dflt:2/3}}}var SX=QPe.exports=zIt({x:e1.x,y:e1.y,z:{valType:\"data_array\"},text:Kg({},e1.text,{}),texttemplate:RIt(),texttemplatefallback:KPe({editType:\"calc\"}),hovertext:Kg({},e1.hovertext,{}),hovertemplate:IIt(),hovertemplatefallback:KPe(),xhoverformat:TX(\"x\"),yhoverformat:TX(\"y\"),zhoverformat:TX(\"z\"),mode:Kg({},e1.mode,{dflt:\"lines+markers\"}),surfaceaxis:{valType:\"enumerated\",values:[-1,0,1,2],dflt:-1},surfacecolor:{valType:\"color\"},projection:{x:AX(\"x\"),y:AX(\"y\"),z:AX(\"z\")},connectgaps:e1.connectgaps,line:BIt,marker:Kg({symbol:{valType:\"enumerated\",values:$Pe(FIt),dflt:\"circle\",arrayOk:!0},size:Kg({},V2.size,{dflt:8}),sizeref:V2.sizeref,sizemin:V2.sizemin,sizemode:V2.sizemode,opacity:Kg({},V2.opacity,{arrayOk:!1}),colorbar:V2.colorbar,line:Kg({width:Kg({},qIt.width,{arrayOk:!1})},MX(\"marker.line\"))},MX(\"marker\")),textposition:Kg({},e1.textposition,{dflt:\"top center\"}),textfont:PIt({noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0,editType:\"calc\",colorEditType:\"style\",arrayOk:!0,variantValues:[\"normal\",\"small-caps\"]}),opacity:JPe.opacity,hoverinfo:Kg({},JPe.hoverinfo)},\"calc\",\"nested\");SX.x.editType=SX.y.editType=SX.z.editType=\"calc+clearAxisTypes\"});var rIe=ye((tgr,tIe)=>{\"use strict\";var eIe=qa(),NIt=Dr(),kX=Ru(),UIt=$p(),VIt=R0(),GIt=D0(),HIt=EX();tIe.exports=function(t,r,n,i){function a(d,v){return NIt.coerce(t,r,HIt,d,v)}var o=jIt(t,r,a,i);if(!o){r.visible=!1;return}a(\"text\"),a(\"hovertext\"),a(\"hovertemplate\"),a(\"hovertemplatefallback\"),a(\"xhoverformat\"),a(\"yhoverformat\"),a(\"zhoverformat\"),a(\"mode\"),kX.hasMarkers(r)&&UIt(t,r,n,i,a,{noSelect:!0,noAngle:!0}),kX.hasLines(r)&&(a(\"connectgaps\"),VIt(t,r,n,i,a)),kX.hasText(r)&&(a(\"texttemplate\"),a(\"texttemplatefallback\"),GIt(t,r,i,a,{noSelect:!0,noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0}));var s=(r.line||{}).color,l=(r.marker||{}).color;a(\"surfaceaxis\")>=0&&a(\"surfacecolor\",s||l);for(var u=[\"x\",\"y\",\"z\"],c=0;c<3;++c){var f=\"projection.\"+u[c];a(f+\".show\")&&(a(f+\".opacity\"),a(f+\".scale\"))}var h=eIe.getComponentMethod(\"errorbars\",\"supplyDefaults\");h(t,r,s||l||n,{axis:\"z\"}),h(t,r,s||l||n,{axis:\"y\",inherit:\"z\"}),h(t,r,s||l||n,{axis:\"x\",inherit:\"z\"})};function jIt(e,t,r,n){var i=0,a=r(\"x\"),o=r(\"y\"),s=r(\"z\"),l=eIe.getComponentMethod(\"calendars\",\"handleTraceDefaults\");return l(e,t,[\"x\",\"y\",\"z\"],n),a&&o&&s&&(i=Math.min(a.length,o.length,s.length),t._length=t._xlength=t._ylength=t._zlength=i),i}});var nIe=ye((rgr,iIe)=>{\"use strict\";var WIt=km(),XIt=F0();iIe.exports=function(t,r){var n=[{x:!1,y:!1,trace:r,t:{}}];return WIt(n,r),XIt(t,r),n}});var oIe=ye((igr,aIe)=>{aIe.exports=ZIt;function ZIt(e,t){if(typeof e!=\"string\")throw new TypeError(\"must specify type string\");if(t=t||{},typeof document==\"undefined\"&&!t.canvas)return null;var r=t.canvas||document.createElement(\"canvas\");typeof t.width==\"number\"&&(r.width=t.width),typeof t.height==\"number\"&&(r.height=t.height);var n=t,i;try{var a=[e];e.indexOf(\"webgl\")===0&&a.push(\"experimental-\"+e);for(var o=0;o<a.length;o++)if(i=r.getContext(a[o],n),i)return i}catch(s){i=null}return i||null}});var lIe=ye((ngr,sIe)=>{var YIt=oIe();sIe.exports=function(t){return YIt(\"webgl\",t)}});var CX=ye((agr,cIe)=>{\"use strict\";var uIe=ka(),KIt=function(){};cIe.exports=function(t){for(var r in t)typeof t[r]==\"function\"&&(t[r]=KIt);t.destroy=function(){t.container.parentNode.removeChild(t.container)};var n=document.createElement(\"div\");n.className=\"no-webgl\",n.style.cursor=\"pointer\",n.style.fontSize=\"24px\",n.style.color=uIe.defaults[0],n.style.position=\"absolute\",n.style.left=n.style.top=\"0px\",n.style.width=n.style.height=\"100%\",n.style[\"background-color\"]=uIe.lightLine,n.style[\"z-index\"]=30;var i=document.createElement(\"p\");return i.textContent=\"WebGL is not supported by your browser - visit https://get.webgl.org for more info\",i.style.position=\"relative\",i.style.top=\"50%\",i.style.left=\"50%\",i.style.height=\"30%\",i.style.width=\"50%\",i.style.margin=\"-15% 0 0 -25%\",n.appendChild(i),t.container.appendChild(n),t.container.style.background=\"#FFFFFF\",t.container.onclick=function(){window.open(\"https://get.webgl.org\")},!1}});var dIe=ye((ogr,hIe)=>{\"use strict\";var G2=Jy(),JIt=Dr(),$It=[\"xaxis\",\"yaxis\",\"zaxis\"];function fIe(){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()}var QIt=fIe.prototype;QIt.merge=function(e,t){for(var r=this,n=0;n<3;++n){var i=t[$It[n]];if(!i.visible){r.tickEnable[n]=!1,r.labelEnable[n]=!1,r.lineEnable[n]=!1,r.lineTickEnable[n]=!1,r.gridEnable[n]=!1,r.zeroEnable[n]=!1,r.backgroundEnable[n]=!1;continue}r.labels[n]=e._meta?JIt.templateString(i.title.text,e._meta):i.title.text,\"font\"in i.title&&(i.title.font.color&&(r.labelColor[n]=G2(i.title.font.color)),i.title.font.family&&(r.labelFont[n]=i.title.font.family),i.title.font.size&&(r.labelSize[n]=i.title.font.size),i.title.font.weight&&(r.labelFontWeight[n]=i.title.font.weight),i.title.font.style&&(r.labelFontStyle[n]=i.title.font.style),i.title.font.variant&&(r.labelFontVariant[n]=i.title.font.variant)),\"showline\"in i&&(r.lineEnable[n]=i.showline),\"linecolor\"in i&&(r.lineColor[n]=G2(i.linecolor)),\"linewidth\"in i&&(r.lineWidth[n]=i.linewidth),\"showgrid\"in i&&(r.gridEnable[n]=i.showgrid),\"gridcolor\"in i&&(r.gridColor[n]=G2(i.gridcolor)),\"gridwidth\"in i&&(r.gridWidth[n]=i.gridwidth),i.type===\"log\"?r.zeroEnable[n]=!1:\"zeroline\"in i&&(r.zeroEnable[n]=i.zeroline),\"zerolinecolor\"in i&&(r.zeroLineColor[n]=G2(i.zerolinecolor)),\"zerolinewidth\"in i&&(r.zeroLineWidth[n]=i.zerolinewidth),\"ticks\"in i&&i.ticks?r.lineTickEnable[n]=!0:r.lineTickEnable[n]=!1,\"ticklen\"in i&&(r.lineTickLength[n]=r._defaultLineTickLength[n]=i.ticklen),\"tickcolor\"in i&&(r.lineTickColor[n]=G2(i.tickcolor)),\"tickwidth\"in i&&(r.lineTickWidth[n]=i.tickwidth),\"tickangle\"in i&&(r.tickAngle[n]=i.tickangle===\"auto\"?-3600:Math.PI*-i.tickangle/180),\"showticklabels\"in i&&(r.tickEnable[n]=i.showticklabels),\"tickfont\"in i&&(i.tickfont.color&&(r.tickColor[n]=G2(i.tickfont.color)),i.tickfont.family&&(r.tickFont[n]=i.tickfont.family),i.tickfont.size&&(r.tickSize[n]=i.tickfont.size),i.tickfont.weight&&(r.tickFontWeight[n]=i.tickfont.weight),i.tickfont.style&&(r.tickFontStyle[n]=i.tickfont.style),i.tickfont.variant&&(r.tickFontVariant[n]=i.tickfont.variant)),\"mirror\"in i?[\"ticks\",\"all\",\"allticks\"].indexOf(i.mirror)!==-1?(r.lineTickMirror[n]=!0,r.lineMirror[n]=!0):i.mirror===!0?(r.lineTickMirror[n]=!1,r.lineMirror[n]=!0):(r.lineTickMirror[n]=!1,r.lineMirror[n]=!1):r.lineMirror[n]=!1,\"showbackground\"in i&&i.showbackground!==!1?(r.backgroundEnable[n]=!0,r.backgroundColor[n]=G2(i.backgroundcolor)):r.backgroundEnable[n]=!1}};function e8t(e,t){var r=new fIe;return r.merge(e,t),r}hIe.exports=e8t});var gIe=ye((sgr,pIe)=>{\"use strict\";var t8t=Jy(),r8t=[\"xaxis\",\"yaxis\",\"zaxis\"];function vIe(){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]}var i8t=vIe.prototype;i8t.merge=function(e){for(var t=0;t<3;++t){var r=e[r8t[t]];if(!r.visible){this.enabled[t]=!1,this.drawSides[t]=!1;continue}this.enabled[t]=r.showspikes,this.colors[t]=t8t(r.spikecolor),this.drawSides[t]=r.spikesides,this.lineWidth[t]=r.spikethickness}};function n8t(e){var t=new vIe;return t.merge(e),t}pIe.exports=n8t});var _Ie=ye((lgr,yIe)=>{\"use strict\";yIe.exports=u8t;var mIe=ho(),a8t=Dr(),o8t=[\"xaxis\",\"yaxis\",\"zaxis\"],s8t=[0,0,0];function l8t(e){for(var t=new Array(3),r=0;r<3;++r){for(var n=e[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;t[r]=i}return t}function u8t(e){for(var t=e.axesOptions,r=e.glplot.axesPixels,n=e.fullSceneLayout,i=[[],[],[]],a=0;a<3;++a){var o=n[o8t[a]];if(o._length=(r[a].hi-r[a].lo)*r[a].pixelsPerDataUnit/e.dataScale[a],Math.abs(o._length)===1/0||isNaN(o._length))i[a]=[];else{o._input_range=o.range.slice(),o.range[0]=r[a].lo/e.dataScale[a],o.range[1]=r[a].hi/e.dataScale[a],o._m=1/(e.dataScale[a]*r[a].pixelsPerDataUnit),o.range[0]===o.range[1]&&(o.range[0]-=1,o.range[1]+=1);var s=o.tickmode;if(o.tickmode===\"auto\"){o.tickmode=\"linear\";var l=o.nticks||a8t.constrain(o._length/40,4,9);mIe.autoTicks(o,Math.abs(o.range[1]-o.range[0])/l)}for(var u=mIe.calcTicks(o,{msUTC:!0}),c=0;c<u.length;++c)u[c].x=u[c].x*e.dataScale[a],o.type===\"date\"&&(u[c].text=u[c].text.replace(/\\<br\\>/g,\" \"));i[a]=u,o.tickmode=s}}t.ticks=i;for(var a=0;a<3;++a){s8t[a]=.5*(e.glplot.bounds[0][a]+e.glplot.bounds[1][a]);for(var c=0;c<2;++c)t.bounds[c][a]=e.glplot.bounds[c][a]}e.contourLevels=l8t(i)}});var MIe=ye((ugr,SIe)=>{\"use strict\";var wIe=Od().gl_plot3d,c8t=wIe.createCamera,xIe=wIe.createScene,f8t=lIe(),h8t=RL(),iF=qa(),up=Dr(),rF=up.preserveDrawingBuffer(),nF=ho(),Jg=vf(),d8t=Jy(),v8t=CX(),p8t=UU(),g8t=dIe(),m8t=gIe(),y8t=_Ie(),_8t=Ag().applyAutorangeOptions,YE,tF,TIe=!1;function AIe(e,t){var r=document.createElement(\"div\"),n=e.container;this.graphDiv=e.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=e.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=t,this.id=e.id||\"scene\",this.fullSceneLayout=t[this.id],this.plotArgs=[[],{},{}],this.axesOptions=g8t(t,t[this.id]),this.spikeOptions=m8t(t[this.id]),this.container=r,this.staticMode=!!e.staticPlot,this.pixelRatio=this.pixelRatio||e.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=iF.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=iF.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var Sv=AIe.prototype;Sv.prepareOptions=function(){var e=this,t={canvas:e.canvas,gl:e.gl,glOptions:{preserveDrawingBuffer:rF,premultipliedAlpha:!0,antialias:!0},container:e.container,axes:e.axesOptions,spikes:e.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:e.camera,pixelRatio:e.pixelRatio};if(e.staticMode){if(!tF&&(YE=document.createElement(\"canvas\"),tF=f8t({canvas:YE,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}),!tF))throw new Error(\"error creating static canvas/context for image server\");t.gl=tF,t.canvas=YE}return t};var bIe=!0;Sv.tryCreatePlot=function(){var e=this,t=e.prepareOptions(),r=!0;try{e.glplot=xIe(t)}catch(n){if(e.staticMode||!bIe||rF)r=!1;else{up.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{rF=t.glOptions.preserveDrawingBuffer=!0,e.glplot=xIe(t)}catch(i){rF=t.glOptions.preserveDrawingBuffer=!1,r=!1}}}return bIe=!1,r};Sv.initializeGLCamera=function(){var e=this,t=e.fullSceneLayout.camera,r=t.projection.type===\"orthographic\";e.camera=c8t(e.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:r,zoomMin:.01,zoomMax:100,mode:\"orbit\"})};Sv.initializeGLPlot=function(){var e=this;e.initializeGLCamera();var t=e.tryCreatePlot();if(!t)return v8t(e);e.traces={},e.make4thDimension();var r=e.graphDiv,n=r.layout,i=function(){var o={};return e.isCameraChanged(n)&&(o[e.id+\".camera\"]=e.getCamera()),e.isAspectChanged(n)&&(o[e.id+\".aspectratio\"]=e.glplot.getAspectratio(),n[e.id].aspectmode!==\"manual\"&&(e.fullSceneLayout.aspectmode=n[e.id].aspectmode=o[e.id+\".aspectmode\"]=\"manual\")),o},a=function(o){if(o.fullSceneLayout.dragmode!==!1){var s=i();o.saveLayout(n),o.graphDiv.emit(\"plotly_relayout\",s)}};return e.glplot.canvas&&(e.glplot.canvas.addEventListener(\"mouseup\",function(){a(e)}),e.glplot.canvas.addEventListener(\"touchstart\",function(){TIe=!0}),e.glplot.canvas.addEventListener(\"wheel\",function(o){if(r._context._scrollZoom.gl3d){if(e.camera._ortho){var s=o.deltaX>o.deltaY?1.1:.9090909090909091,l=e.glplot.getAspectratio();e.glplot.setAspectratio({x:s*l.x,y:s*l.y,z:s*l.z})}a(e)}},h8t?{passive:!1}:!1),e.glplot.canvas.addEventListener(\"mousemove\",function(){if(e.fullSceneLayout.dragmode!==!1&&e.camera.mouseListener.buttons!==0){var o=i();e.graphDiv.emit(\"plotly_relayouting\",o)}}),e.staticMode||e.glplot.canvas.addEventListener(\"webglcontextlost\",function(o){r&&r.emit&&r.emit(\"plotly_webglcontextlost\",{event:o,layer:e.id})},!1)),e.glplot.oncontextloss=function(){e.recoverContext()},e.glplot.onrender=function(){e.render()},!0};Sv.render=function(){var e=this,t=e.graphDiv,r,n=e.svgContainer,i=e.container.getBoundingClientRect();t._fullLayout._calcInverseTransform(t);var a=t._fullLayout._invScaleX,o=t._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),y8t(e),e.glplot.axes.update(e.axesOptions);for(var u=Object.keys(e.traces),c=null,f=e.glplot.selection,h=0;h<u.length;++h)r=e.traces[u[h]],r.data.hoverinfo!==\"skip\"&&r.handlePick(f)&&(c=r),r.setContourLevels&&r.setContourLevels();function d(P,T,z){var O=e.fullSceneLayout[P+\"axis\"];return O.type!==\"log\"&&(T=O.d2l(T)),nF.hoverLabelText(O,T,z)}if(c!==null){var v=p8t(e.glplot.cameraParams,f.dataCoordinate);r=c.data;var _=t._fullData[r.index],b=f.index,p={xLabel:d(\"x\",f.traceCoordinate[0],r.xhoverformat),yLabel:d(\"y\",f.traceCoordinate[1],r.yhoverformat),zLabel:d(\"z\",f.traceCoordinate[2],r.zhoverformat)},k=Jg.castHoverinfo(_,e.fullLayout,b),E=(k||\"\").split(\"+\"),S=k&&k===\"all\";!_.hovertemplate&&!S&&(E.indexOf(\"x\")===-1&&(p.xLabel=void 0),E.indexOf(\"y\")===-1&&(p.yLabel=void 0),E.indexOf(\"z\")===-1&&(p.zLabel=void 0),E.indexOf(\"text\")===-1&&(f.textLabel=void 0),E.indexOf(\"name\")===-1&&(c.name=void 0));var L,x=[];r.type===\"cone\"||r.type===\"streamtube\"?(p.uLabel=d(\"x\",f.traceCoordinate[3],r.uhoverformat),(S||E.indexOf(\"u\")!==-1)&&x.push(\"u: \"+p.uLabel),p.vLabel=d(\"y\",f.traceCoordinate[4],r.vhoverformat),(S||E.indexOf(\"v\")!==-1)&&x.push(\"v: \"+p.vLabel),p.wLabel=d(\"z\",f.traceCoordinate[5],r.whoverformat),(S||E.indexOf(\"w\")!==-1)&&x.push(\"w: \"+p.wLabel),p.normLabel=f.traceCoordinate[6].toPrecision(3),(S||E.indexOf(\"norm\")!==-1)&&x.push(\"norm: \"+p.normLabel),r.type===\"streamtube\"&&(p.divergenceLabel=f.traceCoordinate[7].toPrecision(3),(S||E.indexOf(\"divergence\")!==-1)&&x.push(\"divergence: \"+p.divergenceLabel)),f.textLabel&&x.push(f.textLabel),L=x.join(\"<br>\")):r.type===\"isosurface\"||r.type===\"volume\"?(p.valueLabel=nF.hoverLabelText(e._mockAxis,e._mockAxis.d2l(f.traceCoordinate[3]),r.valuehoverformat),x.push(\"value: \"+p.valueLabel),f.textLabel&&x.push(f.textLabel),L=x.join(\"<br>\")):L=f.textLabel;var C={x:f.traceCoordinate[0],y:f.traceCoordinate[1],z:f.traceCoordinate[2],data:_._input,fullData:_,curveNumber:_.index,pointNumber:b};Jg.appendArrayPointValue(C,_,b),r._module.eventData&&(C=_._module.eventData(C,f,_,{},b));var M={points:[C]};if(e.fullSceneLayout.hovermode){var g=[];Jg.loneHover({trace:_,x:(.5+.5*v[0]/v[3])*s,y:(.5-.5*v[1]/v[3])*l,xLabel:p.xLabel,yLabel:p.yLabel,zLabel:p.zLabel,text:L,name:c.name,color:Jg.castHoverOption(_,b,\"bgcolor\")||c.color,borderColor:Jg.castHoverOption(_,b,\"bordercolor\"),fontFamily:Jg.castHoverOption(_,b,\"font.family\"),fontSize:Jg.castHoverOption(_,b,\"font.size\"),fontColor:Jg.castHoverOption(_,b,\"font.color\"),nameLength:Jg.castHoverOption(_,b,\"namelength\"),textAlign:Jg.castHoverOption(_,b,\"align\"),hovertemplate:up.castOption(_,b,\"hovertemplate\"),hovertemplateLabels:up.extendFlat({},C,p),eventData:[C]},{container:n,gd:t,inOut_bbox:g}),C.bbox=g[0]}f.distance<5&&(f.buttons||TIe)?t.emit(\"plotly_click\",M):t.emit(\"plotly_hover\",M),this.oldEventData=M}else Jg.loneUnhover(n),this.oldEventData&&t.emit(\"plotly_unhover\",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)};Sv.recoverContext=function(){var e=this;e.glplot.dispose();var t=function(){if(e.glplot.gl.isContextLost()){requestAnimationFrame(t);return}if(!e.initializeGLPlot()){up.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\");return}e.plot.apply(e,e.plotArgs)};requestAnimationFrame(t)};var KE=[\"xaxis\",\"yaxis\",\"zaxis\"];function x8t(e,t,r){for(var n=e.fullSceneLayout,i=0;i<3;i++){var a=KE[i],o=a.charAt(0),s=n[a],l=t[o],u=t[o+\"calendar\"],c=t[\"_\"+o+\"length\"];if(!up.isArrayOrTypedArray(l))r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],c-1);else for(var f,h=0;h<(c||l.length);h++)if(up.isArrayOrTypedArray(l[h]))for(var d=0;d<l[h].length;++d)f=s.d2l(l[h][d],0,u),!isNaN(f)&&isFinite(f)&&(r[0][i]=Math.min(r[0][i],f),r[1][i]=Math.max(r[1][i],f));else f=s.d2l(l[h],0,u),!isNaN(f)&&isFinite(f)&&(r[0][i]=Math.min(r[0][i],f),r[1][i]=Math.max(r[1][i],f))}}function b8t(e,t){for(var r=e.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=KE[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)&&(t[0][i]=Math.min(t[0][i],c),t[1][i]=Math.max(t[1][i],c))}}}Sv.plot=function(e,t,r){var n=this;if(n.plotArgs=[e,t,r],!n.glplot.contextLost){var i,a,o,s,l,u,c=t[n.id],f=r[n.id];n.fullLayout=t,n.fullSceneLayout=c,n.axesOptions.merge(t,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(d8t(c.bgcolor)),n.setConvert(l),e?Array.isArray(e)||(e=[e]):e=[];var h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(o=0;o<e.length;++o)i=e[o],!(i.visible!==!0||i._length===0)&&x8t(this,i,h);b8t(this,h);var d=[1,1,1];for(s=0;s<3;++s)h[1][s]===h[0][s]?d[s]=1:d[s]=1/(h[1][s]-h[0][s]);for(n.dataScale=d,n.convertAnnotations(this),o=0;o<e.length;++o)i=e[o],!(i.visible!==!0||i._length===0)&&(a=n.traces[i.uid],a?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 v=Object.keys(n.traces);e:for(o=0;o<v.length;++o){for(s=0;s<e.length;++s)if(e[s].uid===v[o]&&e[s].visible===!0&&e[s]._length!==0)continue e;a=n.traces[v[o]],a.dispose(),delete n.traces[v[o]]}n.glplot.objects.sort(function(oe,_e){return oe._trace.data.index-_e._trace.data.index});var _=[[0,0,0],[0,0,0]],b=[],p={};for(o=0;o<3;++o){l=c[KE[o]],u=l.type,u in p?(p[u].acc*=d[o],p[u].count+=1):p[u]={acc:d[o],count:1};var k;if(l.autorange){_[0][o]=1/0,_[1][o]=-1/0;var E=n.glplot.objects,S=n.fullSceneLayout.annotations||[],L=l._name.charAt(0);for(s=0;s<E.length;s++){var x=E[s],C=x.bounds,M=x._trace.data._pad||0;x.constructor.name===\"ErrorBars\"&&l._lowerLogErrorBound?_[0][o]=Math.min(_[0][o],l._lowerLogErrorBound):_[0][o]=Math.min(_[0][o],C[0][o]/d[o]-M),_[1][o]=Math.max(_[1][o],C[1][o]/d[o]+M)}for(s=0;s<S.length;s++){var g=S[s];if(g.visible){var P=l.r2l(g[L]);_[0][o]=Math.min(_[0][o],P),_[1][o]=Math.max(_[1][o],P)}}if(\"rangemode\"in l&&l.rangemode===\"tozero\"&&(_[0][o]=Math.min(_[0][o],0),_[1][o]=Math.max(_[1][o],0)),_[0][o]>_[1][o])_[0][o]=-1,_[1][o]=1;else{var T=_[1][o]-_[0][o];_[0][o]-=T/32,_[1][o]+=T/32}if(k=[_[0][o],_[1][o]],k=_8t(k,l),_[0][o]=k[0],_[1][o]=k[1],l.isReversed()){var z=_[0][o];_[0][o]=_[1][o],_[1][o]=z}}else k=l.range,_[0][o]=l.r2l(k[0]),_[1][o]=l.r2l(k[1]);_[0][o]===_[1][o]&&(_[0][o]-=1,_[1][o]+=1),b[o]=_[1][o]-_[0][o],l.range=[_[0][o],_[1][o]],l.limitRange(),n.glplot.setBounds(o,{min:l.range[0]*d[o],max:l.range[1]*d[o]})}var O,V=c.aspectmode;if(V===\"cube\")O=[1,1,1];else if(V===\"manual\"){var G=c.aspectratio;O=[G.x,G.y,G.z]}else if(V===\"auto\"||V===\"data\"){var Z=[1,1,1];for(o=0;o<3;++o){l=c[KE[o]],u=l.type;var j=p[u];Z[o]=Math.pow(j.acc,1/j.count)/d[o]}V===\"data\"||Math.max.apply(null,Z)/Math.min.apply(null,Z)<=4?O=Z:O=[1,1,1]}else throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");c.aspectratio.x=f.aspectratio.x=O[0],c.aspectratio.y=f.aspectratio.y=O[1],c.aspectratio.z=f.aspectratio.z=O[2],n.glplot.setAspectratio(c.aspectratio),n.viewInitial.aspectratio||(n.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),n.viewInitial.aspectmode||(n.viewInitial.aspectmode=c.aspectmode);var N=c.domain||null,H=t._size||null;if(N&&H){var te=n.container.style;te.position=\"absolute\",te.left=H.l+N.x[0]*H.w+\"px\",te.top=H.t+(1-N.y[1])*H.h+\"px\",te.width=H.w*(N.x[1]-N.x[0])+\"px\",te.height=H.h*(N.y[1]-N.y[0])+\"px\"}n.glplot.redraw()}};Sv.destroy=function(){var e=this;e.glplot&&(e.camera.mouseListener.enabled=!1,e.container.removeEventListener(\"wheel\",e.camera.wheelListener),e.camera=null,e.glplot.dispose(),e.container.parentNode.removeChild(e.container),e.glplot=null)};function w8t(e){return[[e.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]]}function T8t(e){return{up:{x:e.up[0],y:e.up[1],z:e.up[2]},center:{x:e.center[0],y:e.center[1],z:e.center[2]},eye:{x:e.eye[0],y:e.eye[1],z:e.eye[2]},projection:{type:e._ortho===!0?\"orthographic\":\"perspective\"}}}Sv.getCamera=function(){var e=this;return e.camera.view.recalcMatrix(e.camera.view.lastT()),T8t(e.camera)};Sv.setViewport=function(e){var t=this,r=e.camera;t.camera.lookAt.apply(this,w8t(r)),t.glplot.setAspectratio(e.aspectratio);var n=r.projection.type===\"orthographic\",i=t.camera._ortho;n!==i&&(t.glplot.redraw(),t.glplot.clearRGBA(),t.glplot.dispose(),t.initializeGLPlot())};Sv.isCameraChanged=function(e){var t=this,r=t.getCamera(),n=up.nestedProperty(e,t.id+\".camera\"),i=n.get();function a(u,c,f,h){var d=[\"up\",\"center\",\"eye\"],v=[\"x\",\"y\",\"z\"];return c[d[f]]&&u[d[f]][v[h]]===c[d[f]][v[h]]}var o=!1;if(i===void 0)o=!0;else{for(var s=0;s<3;s++)for(var l=0;l<3;l++)if(!a(r,i,s,l)){o=!0;break}(!i.projection||r.projection&&r.projection.type!==i.projection.type)&&(o=!0)}return o};Sv.isAspectChanged=function(e){var t=this,r=t.glplot.getAspectratio(),n=up.nestedProperty(e,t.id+\".aspectratio\"),i=n.get();return i===void 0||i.x!==r.x||i.y!==r.y||i.z!==r.z};Sv.saveLayout=function(e){var t=this,r=t.fullLayout,n,i,a,o,s,l,u=t.isCameraChanged(e),c=t.isAspectChanged(e),f=u||c;if(f){var h={};if(u&&(n=t.getCamera(),i=up.nestedProperty(e,t.id+\".camera\"),a=i.get(),h[t.id+\".camera\"]=a),c&&(o=t.glplot.getAspectratio(),s=up.nestedProperty(e,t.id+\".aspectratio\"),l=s.get(),h[t.id+\".aspectratio\"]=l),iF.call(\"_storeDirectGUIEdit\",e,r._preGUI,h),u){i.set(n);var d=up.nestedProperty(r,t.id+\".camera\");d.set(n)}if(c){s.set(o);var v=up.nestedProperty(r,t.id+\".aspectratio\");v.set(o),t.glplot.redraw()}}return f};Sv.updateFx=function(e,t){var r=this,n=r.camera;if(n)if(e===\"orbit\")n.mode=\"orbit\",n.keyBindingMode=\"rotate\";else if(e===\"turntable\"){n.up=[0,0,1],n.mode=\"turntable\",n.keyBindingMode=\"rotate\";var i=r.graphDiv,a=i._fullLayout,o=r.fullSceneLayout.camera,s=o.up.x,l=o.up.y,u=o.up.z;if(u/Math.sqrt(s*s+l*l+u*u)<.999){var c=r.id+\".camera.up\",f={x:0,y:0,z:1},h={};h[c]=f;var d=i.layout;iF.call(\"_storeDirectGUIEdit\",d,a._preGUI,h),o.up=f,up.nestedProperty(d,c).set(f)}}else n.keyBindingMode=e;r.fullSceneLayout.hovermode=t};function A8t(e,t,r){for(var n=0,i=r-1;n<i;++n,--i)for(var a=0;a<t;++a)for(var o=0;o<4;++o){var s=4*(t*n+a)+o,l=4*(t*i+a)+o,u=e[s];e[s]=e[l],e[l]=u}}function S8t(e,t,r){for(var n=0;n<r;++n)for(var i=0;i<t;++i){var a=4*(t*n+i),o=e[a+3];if(o>0)for(var s=255/o,l=0;l<3;++l)e[a+l]=Math.min(s*e[a+l],255)}}Sv.toImage=function(e){var t=this;e||(e=\"png\"),t.staticMode&&t.container.appendChild(YE),t.glplot.redraw();var r=t.glplot.gl,n=r.drawingBufferWidth,i=r.drawingBufferHeight;r.bindFramebuffer(r.FRAMEBUFFER,null);var a=new Uint8Array(n*i*4);r.readPixels(0,0,n,i,r.RGBA,r.UNSIGNED_BYTE,a),A8t(a,n,i),S8t(a,n,i);var o=document.createElement(\"canvas\");o.width=n,o.height=i;var s=o.getContext(\"2d\",{willReadFrequently:!0}),l=s.createImageData(n,i);l.data.set(a),s.putImageData(l,0,0);var u;switch(e){case\"jpeg\":u=o.toDataURL(\"image/jpeg\");break;case\"webp\":u=o.toDataURL(\"image/webp\");break;default:u=o.toDataURL(\"image/png\")}return t.staticMode&&t.container.removeChild(YE),u};Sv.setConvert=function(){for(var e=this,t=0;t<3;t++){var r=e.fullSceneLayout[KE[t]];nF.setConvert(r,e.fullLayout),r.setScale=up.noop}};Sv.make4thDimension=function(){var e=this,t=e.graphDiv,r=t._fullLayout;e._mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},nF.setConvert(e._mockAxis,r)};SIe.exports=AIe});var kIe=ye((cgr,EIe)=>{\"use strict\";EIe.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}});var PX=ye((fgr,CIe)=>{\"use strict\";var M8t=ka(),xs=Rd(),LX=Ao().extendFlat,E8t=mc().overrideAll;CIe.exports=E8t({visible:xs.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:M8t.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:xs.color,categoryorder:xs.categoryorder,categoryarray:xs.categoryarray,title:{text:xs.title.text,font:xs.title.font},type:LX({},xs.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:xs.autotypenumbers,autorange:xs.autorange,autorangeoptions:{minallowed:xs.autorangeoptions.minallowed,maxallowed:xs.autorangeoptions.maxallowed,clipmin:xs.autorangeoptions.clipmin,clipmax:xs.autorangeoptions.clipmax,include:xs.autorangeoptions.include,editType:\"plot\"},rangemode:xs.rangemode,minallowed:xs.minallowed,maxallowed:xs.maxallowed,range:LX({},xs.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:xs.minor.tickmode,nticks:xs.nticks,tick0:xs.tick0,dtick:xs.dtick,tickvals:xs.tickvals,ticktext:xs.ticktext,ticks:xs.ticks,mirror:xs.mirror,ticklen:xs.ticklen,tickwidth:xs.tickwidth,tickcolor:xs.tickcolor,showticklabels:xs.showticklabels,labelalias:xs.labelalias,tickfont:xs.tickfont,tickangle:xs.tickangle,tickprefix:xs.tickprefix,showtickprefix:xs.showtickprefix,ticksuffix:xs.ticksuffix,showticksuffix:xs.showticksuffix,showexponent:xs.showexponent,exponentformat:xs.exponentformat,minexponent:xs.minexponent,separatethousands:xs.separatethousands,tickformat:xs.tickformat,tickformatstops:xs.tickformatstops,hoverformat:xs.hoverformat,showline:xs.showline,linecolor:xs.linecolor,linewidth:xs.linewidth,showgrid:xs.showgrid,gridcolor:LX({},xs.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:xs.gridwidth,zeroline:xs.zeroline,zerolinecolor:xs.zerolinecolor,zerolinewidth:xs.zerolinewidth},\"plot\",\"from-root\")});var FX=ye((hgr,LIe)=>{\"use strict\";var IX=PX(),k8t=Cc().attributes,RX=Ao().extendFlat,C8t=Dr().counterRegex;function DX(e,t,r){return{x:{valType:\"number\",dflt:e,editType:\"camera\"},y:{valType:\"number\",dflt:t,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}LIe.exports={_arrayAttrRegexps:[C8t(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:RX(DX(0,0,1),{}),center:RX(DX(0,0,0),{}),eye:RX(DX(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:k8t({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:IX,yaxis:IX,zaxis:IX,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\"}});var DIe=ye((dgr,RIe)=>{\"use strict\";var L8t=cd().mix,PIe=Dr(),P8t=vl(),I8t=PX(),R8t=SU(),D8t=i4(),IIe=[\"xaxis\",\"yaxis\",\"zaxis\"],F8t=100*136/187;RIe.exports=function(t,r,n){var i,a;function o(u,c){return PIe.coerce(i,a,I8t,u,c)}for(var s=0;s<IIe.length;s++){var l=IIe[s];i=t[l]||{},a=P8t.newContainer(r,l),a._id=l[0]+n.scene,a._name=l,R8t(i,a,o,n),D8t(i,a,o,{font:n.font,letter:l[0],data:n.data,showGrid:!0,noAutotickangles:!0,noMinorloglabels:!0,noTicklabelindex:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelshift:!0,noTicklabelstandoff:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,noInsiderange:!0,noUnifiedhovertitle:!0,bgColor:n.bgColor,calendar:n.calendar},n.fullLayout),o(\"gridcolor\",L8t(a.color,n.bgColor,F8t).toRgbString()),o(\"title.text\",l[0]),a.setScale=PIe.noop,o(\"showspikes\")&&(o(\"spikesides\"),o(\"spikethickness\"),o(\"spikecolor\",a.color)),o(\"showaxeslabels\"),o(\"showbackground\")&&o(\"backgroundcolor\")}}});var qIe=ye((vgr,OIe)=>{\"use strict\";var z8t=Dr(),O8t=ka(),q8t=qa(),B8t=k_(),N8t=DIe(),FIe=FX(),U8t=Id().getSubplotData,zIe=\"gl3d\";OIe.exports=function(t,r,n){var i=r._basePlotModules.length>1;function a(o){if(!i){var s=z8t.validate(t[o],FIe[o]);if(s)return 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shine.\"},fresnel:{valType:\"number\",min:0,max:5,dflt:.2}},opacity:{valType:\"number\",min:0,max:1,dflt:1},opacityscale:{valType:\"any\",editType:\"calc\"},hoverinfo:qX({},HIe.hoverinfo),showlegend:qX({},HIe.showlegend,{dflt:!1})}),\"calc\",\"nested\");UX.x.editType=UX.y.editType=UX.z.editType=\"calc+clearAxisTypes\"});var GX=ye((_gr,ZIe)=>{\"use strict\";var Q8t=qa(),WIe=Dr(),eRt=Qh(),tRt=JE(),VX=.1;function rRt(e,t){for(var r=[],n=32,i=0;i<n;i++){var a=i/(n-1),o=t+(1-t)*(1-Math.pow(Math.sin(e*a*Math.PI),2));r.push([a,Math.max(0,Math.min(1,o))])}return r}function iRt(e){var t=0;if(!Array.isArray(e)||e.length<2||!e[0]||!e[e.length-1]||+e[0][0]!=0||+e[e.length-1][0]!=1)return!1;for(var r=0;r<e.length;r++){var n=e[r];if(n.length!==2||+n[0]<t)return!1;t=+n[0]}return!0}function nRt(e,t,r,n){var i,a;function o(b,p){return WIe.coerce(e,t,tRt,b,p)}var s=o(\"x\"),l=o(\"y\"),u=o(\"z\");if(!u||!u.length||s&&s.length<1||l&&l.length<1){t.visible=!1;return}t._xlength=Array.isArray(s)&&WIe.isArrayOrTypedArray(s[0])?u.length:u[0].length,t._ylength=u.length;var c=Q8t.getComponentMethod(\"calendars\",\"handleTraceDefaults\");c(e,t,[\"x\",\"y\",\"z\"],n),o(\"text\"),o(\"hovertext\"),o(\"hovertemplate\"),o(\"hovertemplatefallback\"),o(\"xhoverformat\"),o(\"yhoverformat\"),o(\"zhoverformat\"),[\"lighting.ambient\",\"lighting.diffuse\",\"lighting.specular\",\"lighting.roughness\",\"lighting.fresnel\",\"lightposition.x\",\"lightposition.y\",\"lightposition.z\",\"hidesurface\",\"connectgaps\",\"opacity\"].forEach(function(b){o(b)});var f=o(\"surfacecolor\"),h=[\"x\",\"y\",\"z\"];for(i=0;i<3;++i){var d=\"contours.\"+h[i],v=o(d+\".show\"),_=o(d+\".highlight\");if(v||_)for(a=0;a<3;++a)o(d+\".project.\"+h[a]);v&&(o(d+\".color\"),o(d+\".width\"),o(d+\".usecolormap\")),_&&(o(d+\".highlightcolor\"),o(d+\".highlightwidth\")),o(d+\".start\"),o(d+\".end\"),o(d+\".size\")}eRt(e,t,n,o,{prefix:\"\",cLetter:\"c\"}),XIe(e,t,n,o),t._length=null}function XIe(e,t,r,n){var i=n(\"opacityscale\");i===\"max\"?t.opacityscale=[[0,VX],[1,1]]:i===\"min\"?t.opacityscale=[[0,1],[1,VX]]:i===\"extremes\"?t.opacityscale=rRt(1,VX):iRt(i)||(t.opacityscale=void 0)}ZIe.exports={supplyDefaults:nRt,opacityscaleDefaults:XIe}});var JIe=ye((xgr,KIe)=>{\"use strict\";var YIe=gv();KIe.exports=function(t,r){r.surfacecolor?YIe(t,r,{vals:r.surfacecolor,containerStr:\"\",cLetter:\"c\"}):YIe(t,r,{vals:r.z,containerStr:\"\",cLetter:\"c\"})}});var i8e=ye((bgr,r8e)=>{\"use strict\";var aRt=Od().gl_surface3d,HA=Od().ndarray,oRt=Od().ndarray_linear_interpolate.d2,sRt=o8(),lRt=s8(),$E=Dr().isArrayOrTypedArray,uRt=$y().parseColorScale,$Ie=Jy(),cRt=tc().extractOpts;function e8e(e,t,r){this.scene=e,this.uid=r,this.surface=t,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 $g=e8e.prototype;$g.getXat=function(e,t,r,n){var i=$E(this.data.x)?$E(this.data.x[0])?this.data.x[t][e]:this.data.x[e]:e;return r===void 0?i:n.d2l(i,0,r)};$g.getYat=function(e,t,r,n){var i=$E(this.data.y)?$E(this.data.y[0])?this.data.y[t][e]:this.data.y[t]:t;return r===void 0?i:n.d2l(i,0,r)};$g.getZat=function(e,t,r,n){var i=this.data.z[t][e];return i===null&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[t][e]),r===void 0?i:n.d2l(i,0,r)};$g.handlePick=function(e){if(e.object===this.surface){var t=(e.data.index[0]-1)/this.dataScaleX-1,r=(e.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(t),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);e.index=[n,i],e.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],e.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){var o=e.dataCoordinate[a];o!=null&&(e.dataCoordinate[a]*=this.scene.dataScale[a])}var s=this.data.hovertext||this.data.text;return $E(s)&&s[i]&&s[i][n]!==void 0?e.textLabel=s[i][n]:s?e.textLabel=s:e.textLabel=\"\",e.data.dataCoordinate=e.dataCoordinate.slice(),this.surface.highlight(e.data),this.scene.glplot.spikes.position=e.dataCoordinate,!0}};function fRt(e){var t=e[0].rgb,r=e[e.length-1].rgb;return t[0]===r[0]&&t[1]===r[1]&&t[2]===r[2]&&t[3]===r[3]}var 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hRt(e,t){if(e<t)return 0;for(var r=0;Math.floor(e%t)===0;)e/=t,r++;return r}function HX(e){for(var t=[],r=0;r<jA.length;r++){var n=jA[r];t.push(hRt(e,n))}return t}function dRt(e){for(var t=HX(e),r=e,n=0;n<jA.length;n++)if(t[n]>0){r=jA[n];break}return r}function vRt(e,t){if(!(e<1||t<1)){for(var r=HX(e),n=HX(t),i=1,a=0;a<jA.length;a++)i*=Math.pow(jA[a],Math.max(r[a],n[a]));return i}}function pRt(e){if(e.length!==0){for(var t=1,r=0;r<e.length;r++)t=vRt(t,e[r]);return t}}$g.calcXnums=function(e){var t,r=[];for(t=1;t<e;t++){var n=this.getXat(t-1,0),i=this.getXat(t,0);i!==n&&n!==void 0&&n!==null&&i!==void 0&&i!==null?r[t-1]=Math.abs(i-n):r[t-1]=0}var a=0;for(t=1;t<e;t++)a+=r[t-1];for(t=1;t<e;t++)r[t-1]===0?r[t-1]=1:r[t-1]=Math.round(a/r[t-1]);return r};$g.calcYnums=function(e){var t,r=[];for(t=1;t<e;t++){var n=this.getYat(0,t-1),i=this.getYat(0,t);i!==n&&n!==void 0&&n!==null&&i!==void 0&&i!==null?r[t-1]=Math.abs(i-n):r[t-1]=0}var a=0;for(t=1;t<e;t++)a+=r[t-1];for(t=1;t<e;t++)r[t-1]===0?r[t-1]=1:r[t-1]=Math.round(a/r[t-1]);return r};var t8e=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],QIe=t8e[9],aF=t8e[13];$g.estimateScale=function(e,t){for(var r=t===0?this.calcXnums(e):this.calcYnums(e),n=1+pRt(r);n<QIe;)n*=2;for(;n>aF;)n--,n/=dRt(n),n++,n<QIe&&(n=aF);var i=Math.round(n/e);return i>1?i:1};function gRt(e,t,r){var n=r[8]+r[2]*t[0]+r[5]*t[1];return e[0]=(r[6]+r[0]*t[0]+r[3]*t[1])/n,e[1]=(r[7]+r[1]*t[0]+r[4]*t[1])/n,e}function mRt(e,t,r){return yRt(e,t,gRt,r),e}function yRt(e,t,r,n){for(var i=[0,0],a=e.shape[0],o=e.shape[1],s=0;s<a;s++)for(var l=0;l<o;l++)r(i,[s,l],n),e.set(s,l,oRt(t,i[0],i[1]));return e}$g.refineCoords=function(e){for(var t=this.dataScaleX,r=this.dataScaleY,n=e[0].shape[0],i=e[0].shape[1],a=Math.floor(e[0].shape[0]*t+1)|0,o=Math.floor(e[0].shape[1]*r+1)|0,s=1+n+1,l=1+i+1,u=HA(new Float32Array(s*l),[s,l]),c=[1/t,0,0,0,1/r,0,0,0,1],f=0;f<e.length;++f){this.surface.padField(u,e[f]);var h=HA(new Float32Array(a*o),[a,o]);mRt(h,u,c),e[f]=h}};function _Rt(e,t){for(var r=!1,n=0;n<e.length;n++)if(t===e[n]){r=!0;break}r===!1&&e.push(t)}$g.setContourLevels=function(){var e=[[],[],[]],t=[!1,!1,!1],r=!1,n,i,a;for(n=0;n<3;++n)if(this.showContour[n]&&(r=!0,this.contourSize[n]>0&&this.contourStart[n]!==null&&this.contourEnd[n]!==null&&this.contourEnd[n]>this.contourStart[n]))for(t[n]=!0,i=this.contourStart[n];i<this.contourEnd[n];i+=this.contourSize[n])a=i*this.scene.dataScale[n],_Rt(e[n],a);if(r){var o=[[],[],[]];for(n=0;n<3;++n)this.showContour[n]&&(o[n]=t[n]?e[n]:this.scene.contourLevels[n]);this.surface.update({levels:o})}};$g.update=function(e){var t=this.scene,r=t.fullSceneLayout,n=this.surface,i=uRt(e),a=t.dataScale,o=e.z[0].length,s=e._ylength,l=t.contourLevels;this.data=e;var u,c,f,h,d=[];for(u=0;u<3;u++)for(d[u]=[],c=0;c<o;c++)d[u][c]=[];for(c=0;c<o;c++)for(f=0;f<s;f++)d[0][c][f]=this.getXat(c,f,e.xcalendar,r.xaxis),d[1][c][f]=this.getYat(c,f,e.ycalendar,r.yaxis),d[2][c][f]=this.getZat(c,f,e.zcalendar,r.zaxis);if(e.connectgaps)for(e._emptypoints=lRt(d[2]),sRt(d[2],e._emptypoints),e._interpolatedZ=[],c=0;c<o;c++)for(e._interpolatedZ[c]=[],f=0;f<s;f++)e._interpolatedZ[c][f]=d[2][c][f];for(u=0;u<3;u++)for(c=0;c<o;c++)for(f=0;f<s;f++)h=d[u][c][f],h==null?d[u][c][f]=NaN:h=d[u][c][f]*=a[u];for(u=0;u<3;u++)for(c=0;c<o;c++)for(f=0;f<s;f++)h=d[u][c][f],h!=null&&(this.minValues[u]>h&&(this.minValues[u]=h),this.maxValues[u]<h&&(this.maxValues[u]=h));for(u=0;u<3;u++)this.objectOffset[u]=.5*(this.minValues[u]+this.maxValues[u]);for(u=0;u<3;u++)for(c=0;c<o;c++)for(f=0;f<s;f++)h=d[u][c][f],h!=null&&(d[u][c][f]-=this.objectOffset[u]);var v=[HA(new Float32Array(o*s),[o,s]),HA(new Float32Array(o*s),[o,s]),HA(new Float32Array(o*s),[o,s])];for(u=0;u<3;u++)for(c=0;c<o;c++)for(f=0;f<s;f++)v[u].set(c,f,d[u][c][f]);d=[];var _={colormap:i,levels:[[],[],[]],showContour:[!0,!0,!0],showSurface:!e.hidesurface,contourProject:[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],contourWidth:[1,1,1],contourColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],contourTint:[1,1,1],dynamicColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],dynamicWidth:[1,1,1],dynamicTint:[1,1,1],opacityscale:e.opacityscale,opacity:e.opacity},b=cRt(e);if(_.intensityBounds=[b.min,b.max],e.surfacecolor){var p=HA(new Float32Array(o*s),[o,s]);for(c=0;c<o;c++)for(f=0;f<s;f++)p.set(c,f,e.surfacecolor[f][c]);v.push(p)}else _.intensityBounds[0]*=a[2],_.intensityBounds[1]*=a[2];(aF<v[0].shape[0]||aF<v[0].shape[1])&&(this.refineData=!1),this.refineData===!0&&(this.dataScaleX=this.estimateScale(v[0].shape[0],0),this.dataScaleY=this.estimateScale(v[0].shape[1],1),(this.dataScaleX!==1||this.dataScaleY!==1)&&this.refineCoords(v)),e.surfacecolor&&(_.intensity=v.pop());var k=[!0,!0,!0],E=[\"x\",\"y\",\"z\"];for(u=0;u<3;++u){var S=e.contours[E[u]];k[u]=S.highlight,_.showContour[u]=S.show||S.highlight,_.showContour[u]&&(_.contourProject[u]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[u]=!0,_.levels[u]=l[u],n.highlightColor[u]=_.contourColor[u]=$Ie(S.color),S.usecolormap?n.highlightTint[u]=_.contourTint[u]=0:n.highlightTint[u]=_.contourTint[u]=1,_.contourWidth[u]=S.width,this.contourStart[u]=S.start,this.contourEnd[u]=S.end,this.contourSize[u]=S.size):(this.showContour[u]=!1,this.contourStart[u]=null,this.contourEnd[u]=null,this.contourSize[u]=0),S.highlight&&(_.dynamicColor[u]=$Ie(S.highlightcolor),_.dynamicWidth[u]=S.highlightwidth))}fRt(i)&&(_.vertexColor=!0),_.objectOffset=this.objectOffset,_.coords=v,n.update(_),n.visible=e.visible,n.enableDynamic=k,n.enableHighlight=k,n.snapToData=!0,\"lighting\"in e&&(n.ambientLight=e.lighting.ambient,n.diffuseLight=e.lighting.diffuse,n.specularLight=e.lighting.specular,n.roughness=e.lighting.roughness,n.fresnel=e.lighting.fresnel),\"lightposition\"in e&&(n.lightPosition=[e.lightposition.x,e.lightposition.y,e.lightposition.z])};$g.dispose=function(){this.scene.glplot.remove(this.surface),this.surface.dispose()};function xRt(e,t){var r=e.glplot.gl,n=aRt({gl:r}),i=new e8e(e,n,t.uid);return n._trace=i,i.update(t),e.glplot.add(n),i}r8e.exports=xRt});var a8e=ye((wgr,n8e)=>{\"use strict\";n8e.exports={attributes:JE(),supplyDefaults:GX().supplyDefaults,colorbar:{min:\"cmin\",max:\"cmax\"},calc:JIe(),plot:i8e(),moduleType:\"trace\",name:\"surface\",basePlotModule:$_(),categories:[\"gl3d\",\"2dMap\",\"showLegend\"],meta:{}}});var s8e=ye((Tgr,o8e)=>{\"use strict\";o8e.exports=a8e()});var WA=ye((Agr,u8e)=>{\"use strict\";var bRt=Tu(),jX=df().axisHoverFormat,{hovertemplateAttrs:wRt,templatefallbackAttrs:TRt}=Ll(),Q_=JE(),l8e=Gl(),ex=Ao().extendFlat;u8e.exports=ex({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:wRt({editType:\"calc\"}),hovertemplatefallback:TRt({editType:\"calc\"}),xhoverformat:jX(\"x\"),yhoverformat:jX(\"y\"),zhoverformat:jX(\"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\"}},bRt(\"\",{colorAttr:\"`intensity`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{opacity:Q_.opacity,flatshading:{valType:\"boolean\",dflt:!1,editType:\"calc\"},contour:{show:ex({},Q_.contours.x.show,{}),color:Q_.contours.x.color,width:Q_.contours.x.width,editType:\"calc\"},lightposition:{x:ex({},Q_.lightposition.x,{dflt:1e5}),y:ex({},Q_.lightposition.y,{dflt:1e5}),z:ex({},Q_.lightposition.z,{dflt:0}),editType:\"calc\"},lighting:ex({vertexnormalsepsilon:{valType:\"number\",min:0,max:1,dflt:1e-12,editType:\"calc\",description:\"Epsilon for vertex normals calculation avoids math issues arising from degenerate geometry.\"},facenormalsepsilon:{valType:\"number\",min:0,max:1,dflt:1e-6,editType:\"calc\",description:\"Epsilon for face normals calculation avoids math issues arising from degenerate geometry.\"},editType:\"calc\"},Q_.lighting),hoverinfo:ex({},l8e.hoverinfo,{editType:\"calc\"}),showlegend:ex({},l8e.showlegend,{dflt:!1})})});var sF=ye((Sgr,f8e)=>{\"use strict\";var ARt=Tu(),oF=df().axisHoverFormat,{hovertemplateAttrs:SRt,templatefallbackAttrs:MRt}=Ll(),QE=WA(),c8e=Gl(),WX=Ao().extendFlat,ERt=mc().overrideAll;function XX(e){return{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}}}function ZX(e){return{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}}}var XA=f8e.exports=ERt(WX({x:{valType:\"data_array\"},y:{valType:\"data_array\"},z:{valType:\"data_array\"},value:{valType:\"data_array\"},isomin:{valType:\"number\"},isomax:{valType:\"number\"},surface:{show:{valType:\"boolean\",dflt:!0},count:{valType:\"integer\",dflt:2,min:1},fill:{valType:\"number\",min:0,max:1,dflt:1},pattern:{valType:\"flaglist\",flags:[\"A\",\"B\",\"C\",\"D\",\"E\"],extras:[\"all\",\"odd\",\"even\"],dflt:\"all\"}},spaceframe:{show:{valType:\"boolean\",dflt:!1},fill:{valType:\"number\",min:0,max:1,dflt:.15}},slices:{x:XX(\"x\"),y:XX(\"y\"),z:XX(\"z\")},caps:{x:ZX(\"x\"),y:ZX(\"y\"),z:ZX(\"z\")},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:SRt(),hovertemplatefallback:MRt(),xhoverformat:oF(\"x\"),yhoverformat:oF(\"y\"),zhoverformat:oF(\"z\"),valuehoverformat:oF(\"value\",1),showlegend:WX({},c8e.showlegend,{dflt:!1})},ARt(\"\",{colorAttr:\"`value`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{opacity:QE.opacity,lightposition:QE.lightposition,lighting:QE.lighting,flatshading:QE.flatshading,contour:QE.contour,hoverinfo:WX({},c8e.hoverinfo)}),\"calc\",\"nested\");XA.flatshading.dflt=!0;XA.lighting.facenormalsepsilon.dflt=0;XA.x.editType=XA.y.editType=XA.z.editType=XA.value.editType=\"calc+clearAxisTypes\"});var YX=ye((Mgr,d8e)=>{\"use strict\";var kRt=Dr(),CRt=qa(),LRt=sF(),PRt=Qh();function IRt(e,t,r,n){function i(a,o){return kRt.coerce(e,t,LRt,a,o)}h8e(e,t,r,n,i)}function h8e(e,t,r,n,i){var a=i(\"isomin\"),o=i(\"isomax\");o!=null&&a!==void 0&&a!==null&&a>o&&(t.isomin=null,t.isomax=null);var s=i(\"x\"),l=i(\"y\"),u=i(\"z\"),c=i(\"value\");if(!s||!s.length||!l||!l.length||!u||!u.length||!c||!c.length){t.visible=!1;return}var f=CRt.getComponentMethod(\"calendars\",\"handleTraceDefaults\");f(e,t,[\"x\",\"y\",\"z\"],n),i(\"valuehoverformat\"),[\"x\",\"y\",\"z\"].forEach(function(_){i(_+\"hoverformat\");var b=\"caps.\"+_,p=i(b+\".show\");p&&i(b+\".fill\");var k=\"slices.\"+_,E=i(k+\".show\");E&&(i(k+\".fill\"),i(k+\".locations\"))});var h=i(\"spaceframe.show\");h&&i(\"spaceframe.fill\");var d=i(\"surface.show\");d&&(i(\"surface.count\"),i(\"surface.fill\"),i(\"surface.pattern\"));var v=i(\"contour.show\");v&&(i(\"contour.color\"),i(\"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(_){i(_)}),PRt(e,t,n,i,{prefix:\"\",cLetter:\"c\"}),t._length=null}d8e.exports={supplyDefaults:IRt,supplyIsoDefaults:h8e}});var lF=ye((Egr,p8e)=>{\"use strict\";var JX=Dr(),RRt=gv();function DRt(e,t){t._len=Math.min(t.u.length,t.v.length,t.w.length,t.x.length,t.y.length,t.z.length),t._u=jm(t.u,t._len),t._v=jm(t.v,t._len),t._w=jm(t.w,t._len),t._x=jm(t.x,t._len),t._y=jm(t.y,t._len),t._z=jm(t.z,t._len);var r=v8e(t);t._gridFill=r.fill,t._Xs=r.Xs,t._Ys=r.Ys,t._Zs=r.Zs,t._len=r.len;var n=0,i,a,o;t.starts&&(i=jm(t.starts.x||[]),a=jm(t.starts.y||[]),o=jm(t.starts.z||[]),n=Math.min(i.length,a.length,o.length)),t._startsX=i||[],t._startsY=a||[],t._startsZ=o||[];var s=0,l=1/0,u;for(u=0;u<t._len;u++){var c=t._u[u],f=t._v[u],h=t._w[u],d=Math.sqrt(c*c+f*f+h*h);s=Math.max(s,d),l=Math.min(l,d)}for(RRt(e,t,{vals:[l,s],containerStr:\"\",cLetter:\"c\"}),u=0;u<n;u++){var v=i[u];r.xMax=Math.max(r.xMax,v),r.xMin=Math.min(r.xMin,v);var _=a[u];r.yMax=Math.max(r.yMax,_),r.yMin=Math.min(r.yMin,_);var b=o[u];r.zMax=Math.max(r.zMax,b),r.zMin=Math.min(r.zMin,b)}t._slen=n,t._normMax=s,t._xbnds=[r.xMin,r.xMax],t._ybnds=[r.yMin,r.yMax],t._zbnds=[r.zMin,r.zMax]}function v8e(e){var t=e._x,r=e._y,n=e._z,i=e._len,a,o,s,l=-1/0,u=1/0,c=-1/0,f=1/0,h=-1/0,d=1/0,v=\"\",_,b,p,k,E,S,L,x,C;for(i&&(k=t[0],S=r[0],x=n[0]),i>1&&(E=t[i-1],L=r[i-1],C=n[i-1]),a=0;a<i;a++)l=Math.max(l,t[a]),u=Math.min(u,t[a]),c=Math.max(c,r[a]),f=Math.min(f,r[a]),h=Math.max(h,n[a]),d=Math.min(d,n[a]),!_&&t[a]!==k&&(_=!0,v+=\"x\"),!b&&r[a]!==S&&(b=!0,v+=\"y\"),!p&&n[a]!==x&&(p=!0,v+=\"z\");_||(v+=\"x\"),b||(v+=\"y\"),p||(v+=\"z\");var M=KX(e._x),g=KX(e._y),P=KX(e._z);v=v.replace(\"x\",(k>E?\"-\":\"+\")+\"x\"),v=v.replace(\"y\",(S>L?\"-\":\"+\")+\"y\"),v=v.replace(\"z\",(x>C?\"-\":\"+\")+\"z\");var T=function(){i=0,M=[],g=[],P=[]};(!i||i<M.length*g.length*P.length)&&T();var z=function(Fe){return Fe===\"x\"?t:Fe===\"y\"?r:n},O=function(Fe){return Fe===\"x\"?M:Fe===\"y\"?g:P},V=function(Fe){return Fe[i-1]<Fe[0]?-1:1},G=z(v[1]),Z=z(v[3]),j=z(v[5]),N=O(v[1]).length,H=O(v[3]).length,te=O(v[5]).length,oe=!1,_e=function(Fe,Pe,ge){return N*(H*Fe+Pe)+ge},Ee=V(z(v[1])),Ce=V(z(v[3])),me=V(z(v[5]));for(a=0;a<te-1;a++){for(o=0;o<H-1;o++){for(s=0;s<N-1;s++){var ie=_e(a,o,s),Se=_e(a,o,s+1),Le=_e(a,o+1,s),Ae=_e(a+1,o,s);if((!(G[ie]*Ee<G[Se]*Ee)||!(Z[ie]*Ce<Z[Le]*Ce)||!(j[ie]*me<j[Ae]*me))&&(oe=!0),oe)break}if(oe)break}if(oe)break}return oe&&(JX.warn(\"Encountered arbitrary coordinates! 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ZA=ye((Cgr,m8e)=>{\"use strict\";m8e.exports=function(t,r,n,i){i=i||t.length;for(var a=new Array(i),o=0;o<i;o++)a[o]=[t[o],r[o],n[o]];return a}});var cF=ye((Lgr,b8e)=>{\"use strict\";var ORt=Od().gl_mesh3d,qRt=$y().parseColorScale,BRt=Dr().isArrayOrTypedArray,NRt=Jy(),URt=tc().extractOpts,y8e=ZA(),ek=function(e,t){for(var r=t.length-1;r>0;r--){var n=Math.min(t[r],t[r-1]),i=Math.max(t[r],t[r-1]);if(i>n&&n<e&&e<=i)return{id:r,distRatio:(i-e)/(i-n)}}return{id:0,distRatio:0}};function _8e(e,t,r){this.scene=e,this.uid=r,this.mesh=t,this.name=\"\",this.data=null,this.showContour=!1}var QX=_8e.prototype;QX.handlePick=function(e){if(e.object===this.mesh){var t=e.data.index,r=this.data._meshX[t],n=this.data._meshY[t],i=this.data._meshZ[t],a=this.data._Ys.length,o=this.data._Zs.length,s=ek(r,this.data._Xs).id,l=ek(n,this.data._Ys).id,u=ek(i,this.data._Zs).id,c=e.index=u+o*l+o*a*s;e.traceCoordinate=[this.data._meshX[c],this.data._meshY[c],this.data._meshZ[c],this.data._value[c]];var f=this.data.hovertext||this.data.text;return BRt(f)&&f[c]!==void 0?e.textLabel=f[c]:f&&(e.textLabel=f),!0}};QX.update=function(e){var t=this.scene,r=t.fullSceneLayout;this.data=x8e(e);function n(l,u,c,f){return u.map(function(h){return l.d2l(h,0,f)*c})}var i=y8e(n(r.xaxis,e._meshX,t.dataScale[0],e.xcalendar),n(r.yaxis,e._meshY,t.dataScale[1],e.ycalendar),n(r.zaxis,e._meshZ,t.dataScale[2],e.zcalendar)),a=y8e(e._meshI,e._meshJ,e._meshK),o={positions:i,cells:a,lightPosition:[e.lightposition.x,e.lightposition.y,e.lightposition.z],ambient:e.lighting.ambient,diffuse:e.lighting.diffuse,specular:e.lighting.specular,roughness:e.lighting.roughness,fresnel:e.lighting.fresnel,vertexNormalsEpsilon:e.lighting.vertexnormalsepsilon,faceNormalsEpsilon:e.lighting.facenormalsepsilon,opacity:e.opacity,contourEnable:e.contour.show,contourColor:NRt(e.contour.color).slice(0,3),contourWidth:e.contour.width,useFacetNormals:e.flatshading},s=URt(e);o.vertexIntensity=e._meshIntensity,o.vertexIntensityBounds=[s.min,s.max],o.colormap=qRt(e),this.mesh.update(o)};QX.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()};var VRt=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"];function x8e(e){e._meshI=[],e._meshJ=[],e._meshK=[];var t=e.surface.show,r=e.spaceframe.show,n=e.surface.fill,i=e.spaceframe.fill,a=!1,o=!1,s=0,l,u,c=e._Xs,f=e._Ys,h=e._Zs,d=c.length,v=f.length,_=h.length,b=VRt.indexOf(e._gridFill.replace(/-/g,\"\").replace(/\\+/g,\"\")),p=function(Qt,Vt,_t){switch(b){case 5:return _t+_*Vt+_*v*Qt;case 4:return _t+_*Qt+_*d*Vt;case 3:return Vt+v*_t+v*_*Qt;case 2:return Vt+v*Qt+v*d*_t;case 1:return Qt+d*_t+d*_*Vt;default:return Qt+d*Vt+d*v*_t}},k=e._minValues,E=e._maxValues,S=e._vMin,L=e._vMax,x,C,M,g;function P(Qt,Vt,_t){for(var It=g.length,mt=u;mt<It;mt++)if(Qt===x[mt]&&Vt===C[mt]&&_t===M[mt])return mt;return-1}function T(){u=l}function z(){x=[],C=[],M=[],g=[],l=0,T()}function O(Qt,Vt,_t,It){return x.push(Qt),C.push(Vt),M.push(_t),g.push(It),l++,l-1}function V(Qt,Vt,_t){return e._meshI.push(Qt),e._meshJ.push(Vt),e._meshK.push(_t),s++,s-1}function G(Qt,Vt,_t){for(var It=[],mt=0;mt<Qt.length;mt++)It[mt]=(Qt[mt]+Vt[mt]+_t[mt])/3;return It}function Z(Qt,Vt,_t){for(var It=[],mt=0;mt<Qt.length;mt++)It[mt]=Qt[mt]*(1-_t)+_t*Vt[mt];return It}var j;function N(Qt){j=Qt}function H(Qt,Vt){var _t=Qt[0],It=Qt[1],mt=Qt[2],er=G(_t,It,mt),lr=Math.sqrt(1-j),Tr=Z(er,_t,lr),Lr=Z(er,It,lr),ti=Z(er,mt,lr),Br=Vt[0],Vr=Vt[1],dt=Vt[2];return{xyzv:[[_t,It,Lr],[Lr,Tr,_t],[It,mt,ti],[ti,Lr,It],[mt,_t,Tr],[Tr,ti,mt]],abc:[[Br,Vr,-1],[-1,-1,Br],[Vr,dt,-1],[-1,-1,Vr],[dt,Br,-1],[-1,-1,dt]]}}function te(Qt,Vt){return Qt===\"all\"||Qt===null?!0:Qt.indexOf(Vt)>-1}function oe(Qt,Vt){return Qt===null?Vt:Qt}function _e(Qt,Vt,_t){T();var It=[Vt],mt=[_t];if(j>=1)It=[Vt],mt=[_t];else if(j>0){var er=H(Vt,_t);It=er.xyzv,mt=er.abc}for(var lr=0;lr<It.length;lr++){Vt=It[lr],_t=mt[lr];for(var Tr=[],Lr=0;Lr<3;Lr++){var ti=Vt[Lr][0],Br=Vt[Lr][1],Vr=Vt[Lr][2],dt=Vt[Lr][3],Ge=_t[Lr]>-1?_t[Lr]:P(ti,Br,Vr);Ge>-1?Tr[Lr]=Ge:Tr[Lr]=O(ti,Br,Vr,oe(Qt,dt))}V(Tr[0],Tr[1],Tr[2])}}function Ee(Qt,Vt,_t){var 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ti=!1;return[[0,1,2],[2,0,1],[1,2,0]].forEach(function(Br){if(Tr[Br[0]]&&Tr[Br[1]]&&!Tr[Br[2]]){var Vr=Vt[Br[0]],dt=Vt[Br[1]],Ge=Vt[Br[2]],Je=me(Ge,Vr,It,mt),je=me(Ge,dt,It,mt);lr=Lr(Qt,[je,Je,Vr],[-1,-1,_t[Br[0]]])||lr,lr=Lr(Qt,[Vr,dt,je],[_t[Br[0]],_t[Br[1]],-1])||lr,ti=!0}}),ti||[[0,1,2],[1,2,0],[2,0,1]].forEach(function(Br){if(Tr[Br[0]]&&!Tr[Br[1]]&&!Tr[Br[2]]){var Vr=Vt[Br[0]],dt=Vt[Br[1]],Ge=Vt[Br[2]],Je=me(dt,Vr,It,mt),je=me(Ge,Vr,It,mt);lr=Lr(Qt,[je,Je,Vr],[-1,-1,_t[Br[0]]])||lr,ti=!0}}),lr}function Pe(Qt,Vt,_t,It){var mt=!1,er=Le(Vt),lr=[ie(er[0][3],_t,It),ie(er[1][3],_t,It),ie(er[2][3],_t,It),ie(er[3][3],_t,It)];if(!lr[0]&&!lr[1]&&!lr[2]&&!lr[3])return mt;if(lr[0]&&lr[1]&&lr[2]&&lr[3])return o&&(mt=Ce(Qt,er,Vt)||mt),mt;var Tr=!1;return[[0,1,2,3],[3,0,1,2],[2,3,0,1],[1,2,3,0]].forEach(function(Lr){if(lr[Lr[0]]&&lr[Lr[1]]&&lr[Lr[2]]&&!lr[Lr[3]]){var ti=er[Lr[0]],Br=er[Lr[1]],Vr=er[Lr[2]],dt=er[Lr[3]];if(o)mt=_e(Qt,[ti,Br,Vr],[Vt[Lr[0]],Vt[Lr[1]],Vt[Lr[2]]])||mt;else{var Ge=me(dt,ti,_t,It),Je=me(dt,Br,_t,It),je=me(dt,Vr,_t,It);mt=_e(null,[Ge,Je,je],[-1,-1,-1])||mt}Tr=!0}}),Tr||([[0,1,2,3],[1,2,3,0],[2,3,0,1],[3,0,1,2],[0,2,3,1],[1,3,2,0]].forEach(function(Lr){if(lr[Lr[0]]&&lr[Lr[1]]&&!lr[Lr[2]]&&!lr[Lr[3]]){var ti=er[Lr[0]],Br=er[Lr[1]],Vr=er[Lr[2]],dt=er[Lr[3]],Ge=me(Vr,ti,_t,It),Je=me(Vr,Br,_t,It),je=me(dt,Br,_t,It),tt=me(dt,ti,_t,It);o?(mt=_e(Qt,[ti,tt,Ge],[Vt[Lr[0]],-1,-1])||mt,mt=_e(Qt,[Br,Je,je],[Vt[Lr[1]],-1,-1])||mt):mt=Ee(null,[Ge,Je,je,tt],[-1,-1,-1,-1])||mt,Tr=!0}}),Tr)||[[0,1,2,3],[1,2,3,0],[2,3,0,1],[3,0,1,2]].forEach(function(Lr){if(lr[Lr[0]]&&!lr[Lr[1]]&&!lr[Lr[2]]&&!lr[Lr[3]]){var ti=er[Lr[0]],Br=er[Lr[1]],Vr=er[Lr[2]],dt=er[Lr[3]],Ge=me(Br,ti,_t,It),Je=me(Vr,ti,_t,It),je=me(dt,ti,_t,It);o?(mt=_e(Qt,[ti,Ge,Je],[Vt[Lr[0]],-1,-1])||mt,mt=_e(Qt,[ti,Je,je],[Vt[Lr[0]],-1,-1])||mt,mt=_e(Qt,[ti,je,Ge],[Vt[Lr[0]],-1,-1])||mt):mt=_e(null,[Ge,Je,je],[-1,-1,-1])||mt,Tr=!0}}),mt}function ge(Qt,Vt,_t,It,mt,er,lr,Tr,Lr,ti,Br){var Vr=!1;return a&&(te(Qt,\"A\")&&(Vr=Pe(null,[Vt,_t,It,er],ti,Br)||Vr),te(Qt,\"B\")&&(Vr=Pe(null,[_t,It,mt,Lr],ti,Br)||Vr),te(Qt,\"C\")&&(Vr=Pe(null,[_t,er,lr,Lr],ti,Br)||Vr),te(Qt,\"D\")&&(Vr=Pe(null,[It,er,Tr,Lr],ti,Br)||Vr),te(Qt,\"E\")&&(Vr=Pe(null,[_t,It,er,Lr],ti,Br)||Vr)),o&&(Vr=Pe(Qt,[_t,It,er,Lr],ti,Br)||Vr),Vr}function Re(Qt,Vt,_t,It,mt,er,lr,Tr){return[Tr[0]===!0?!0:Fe(Qt,Le([Vt,_t,It]),[Vt,_t,It],er,lr),Tr[1]===!0?!0:Fe(Qt,Le([It,mt,Vt]),[It,mt,Vt],er,lr)]}function ce(Qt,Vt,_t,It,mt,er,lr,Tr,Lr){return Tr?Re(Qt,Vt,_t,mt,It,er,lr,Lr):Re(Qt,_t,mt,It,Vt,er,lr,Lr)}function Ze(Qt,Vt,_t,It,mt,er,lr){var Tr=!1,Lr,ti,Br,Vr,dt=function(){Tr=Fe(Qt,[Lr,ti,Br],[-1,-1,-1],mt,er)||Tr,Tr=Fe(Qt,[Br,Vr,Lr],[-1,-1,-1],mt,er)||Tr},Ge=lr[0],Je=lr[1],je=lr[2];return Ge&&(Lr=Z(Le([p(Vt,_t-0,It-0)])[0],Le([p(Vt-1,_t-0,It-0)])[0],Ge),ti=Z(Le([p(Vt,_t-0,It-1)])[0],Le([p(Vt-1,_t-0,It-1)])[0],Ge),Br=Z(Le([p(Vt,_t-1,It-1)])[0],Le([p(Vt-1,_t-1,It-1)])[0],Ge),Vr=Z(Le([p(Vt,_t-1,It-0)])[0],Le([p(Vt-1,_t-1,It-0)])[0],Ge),dt()),Je&&(Lr=Z(Le([p(Vt-0,_t,It-0)])[0],Le([p(Vt-0,_t-1,It-0)])[0],Je),ti=Z(Le([p(Vt-0,_t,It-1)])[0],Le([p(Vt-0,_t-1,It-1)])[0],Je),Br=Z(Le([p(Vt-1,_t,It-1)])[0],Le([p(Vt-1,_t-1,It-1)])[0],Je),Vr=Z(Le([p(Vt-1,_t,It-0)])[0],Le([p(Vt-1,_t-1,It-0)])[0],Je),dt()),je&&(Lr=Z(Le([p(Vt-0,_t-0,It)])[0],Le([p(Vt-0,_t-0,It-1)])[0],je),ti=Z(Le([p(Vt-0,_t-1,It)])[0],Le([p(Vt-0,_t-1,It-1)])[0],je),Br=Z(Le([p(Vt-1,_t-1,It)])[0],Le([p(Vt-1,_t-1,It-1)])[0],je),Vr=Z(Le([p(Vt-1,_t-0,It)])[0],Le([p(Vt-1,_t-0,It-1)])[0],je),dt()),Tr}function ut(Qt,Vt,_t,It,mt,er,lr,Tr,Lr,ti,Br,Vr){var dt=Qt;return Vr?(a&&Qt===\"even\"&&(dt=null),ge(dt,Vt,_t,It,mt,er,lr,Tr,Lr,ti,Br)):(a&&Qt===\"odd\"&&(dt=null),ge(dt,Lr,Tr,lr,er,mt,It,_t,Vt,ti,Br))}function pt(Qt,Vt,_t,It,mt){for(var er=[],lr=0,Tr=0;Tr<Vt.length;Tr++)for(var Lr=Vt[Tr],ti=1;ti<_;ti++)for(var Br=1;Br<v;Br++)er.push(ce(Qt,p(Lr,Br-1,ti-1),p(Lr,Br-1,ti),p(Lr,Br,ti-1),p(Lr,Br,ti),_t,It,(Lr+Br+ti)%2,mt&&mt[lr]?mt[lr]:[])),lr++;return er}function Zt(Qt,Vt,_t,It,mt){for(var er=[],lr=0,Tr=0;Tr<Vt.length;Tr++)for(var Lr=Vt[Tr],ti=1;ti<d;ti++)for(var Br=1;Br<_;Br++)er.push(ce(Qt,p(ti-1,Lr,Br-1),p(ti,Lr,Br-1),p(ti-1,Lr,Br),p(ti,Lr,Br),_t,It,(ti+Lr+Br)%2,mt&&mt[lr]?mt[lr]:[])),lr++;return er}function st(Qt,Vt,_t,It,mt){for(var er=[],lr=0,Tr=0;Tr<Vt.length;Tr++)for(var Lr=Vt[Tr],ti=1;ti<v;ti++)for(var Br=1;Br<d;Br++)er.push(ce(Qt,p(Br-1,ti-1,Lr),p(Br-1,ti,Lr),p(Br,ti-1,Lr),p(Br,ti,Lr),_t,It,(Br+ti+Lr)%2,mt&&mt[lr]?mt[lr]:[])),lr++;return er}function lt(Qt,Vt,_t){for(var It=1;It<_;It++)for(var mt=1;mt<v;mt++)for(var er=1;er<d;er++)ut(Qt,p(er-1,mt-1,It-1),p(er-1,mt-1,It),p(er-1,mt,It-1),p(er-1,mt,It),p(er,mt-1,It-1),p(er,mt-1,It),p(er,mt,It-1),p(er,mt,It),Vt,_t,(er+mt+It)%2)}function Gt(Qt,Vt,_t){o=!0,lt(Qt,Vt,_t),o=!1}function Nt(Qt,Vt,_t){a=!0,lt(Qt,Vt,_t),a=!1}function Jt(Qt,Vt,_t,It,mt,er){for(var lr=[],Tr=0,Lr=0;Lr<Vt.length;Lr++)for(var ti=Vt[Lr],Br=1;Br<_;Br++)for(var Vr=1;Vr<v;Vr++)lr.push(Ze(Qt,ti,Vr,Br,_t,It,mt[Lr],er&&er[Tr]?er[Tr]:[])),Tr++;return lr}function sr(Qt,Vt,_t,It,mt,er){for(var lr=[],Tr=0,Lr=0;Lr<Vt.length;Lr++)for(var ti=Vt[Lr],Br=1;Br<d;Br++)for(var Vr=1;Vr<_;Vr++)lr.push(Ze(Qt,Br,ti,Vr,_t,It,mt[Lr],er&&er[Tr]?er[Tr]:[])),Tr++;return lr}function wr(Qt,Vt,_t,It,mt,er){for(var lr=[],Tr=0,Lr=0;Lr<Vt.length;Lr++)for(var ti=Vt[Lr],Br=1;Br<v;Br++)for(var Vr=1;Vr<d;Vr++)lr.push(Ze(Qt,Vr,Br,ti,_t,It,mt[Lr],er&&er[Tr]?er[Tr]:[])),Tr++;return lr}function cr(Qt,Vt){for(var _t=[],It=Qt;It<Vt;It++)_t.push(It);return _t}function $e(){for(var Qt=0;Qt<d;Qt++)for(var Vt=0;Vt<v;Vt++)for(var _t=0;_t<_;_t++){var It=p(Qt,Vt,_t);O(e._x[It],e._y[It],e._z[It],e._value[It])}}function St(){z(),$e();var Qt=null;if(r&&i&&(N(i),Gt(Qt,S,L)),t&&n){N(n);for(var Vt=e.surface.pattern,_t=e.surface.count,It=0;It<_t;It++){var mt=_t===1?.5:It/(_t-1),er=(1-mt)*S+mt*L,lr=Math.abs(er-k),Tr=Math.abs(er-E),Lr=lr>Tr?[k,er]:[er,E];Nt(Vt,Lr[0],Lr[1])}}var ti=[[Math.min(S,E),Math.max(S,E)],[Math.min(k,L),Math.max(k,L)]];[\"x\",\"y\",\"z\"].forEach(function(Br){for(var Vr=[],dt=0;dt<ti.length;dt++){var Ge=0,Je=ti[dt][0],je=ti[dt][1],tt=e.slices[Br];if(tt.show&&tt.fill){N(tt.fill);var xt=[],Ie=[],xe=[];if(tt.locations.length)for(var ke=0;ke<tt.locations.length;ke++){var vt=ek(tt.locations[ke],Br===\"x\"?c:Br===\"y\"?f:h);vt.distRatio===0?xt.push(vt.id):vt.id>0&&(Ie.push(vt.id),Br===\"x\"?xe.push([vt.distRatio,0,0]):Br===\"y\"?xe.push([0,vt.distRatio,0]):xe.push([0,0,vt.distRatio]))}else Br===\"x\"?xt=cr(1,d-1):Br===\"y\"?xt=cr(1,v-1):xt=cr(1,_-1);Ie.length>0&&(Br===\"x\"?Vr[Ge]=Jt(Qt,Ie,Je,je,xe,Vr[Ge]):Br===\"y\"?Vr[Ge]=sr(Qt,Ie,Je,je,xe,Vr[Ge]):Vr[Ge]=wr(Qt,Ie,Je,je,xe,Vr[Ge]),Ge++),xt.length>0&&(Br===\"x\"?Vr[Ge]=pt(Qt,xt,Je,je,Vr[Ge]):Br===\"y\"?Vr[Ge]=Zt(Qt,xt,Je,je,Vr[Ge]):Vr[Ge]=st(Qt,xt,Je,je,Vr[Ge]),Ge++)}var ir=e.caps[Br];ir.show&&ir.fill&&(N(ir.fill),Br===\"x\"?Vr[Ge]=pt(Qt,[0,d-1],Je,je,Vr[Ge]):Br===\"y\"?Vr[Ge]=Zt(Qt,[0,v-1],Je,je,Vr[Ge]):Vr[Ge]=st(Qt,[0,_-1],Je,je,Vr[Ge]),Ge++)}}),s===0&&z(),e._meshX=x,e._meshY=C,e._meshZ=M,e._meshIntensity=g,e._Xs=c,e._Ys=f,e._Zs=h}return St(),e}function GRt(e,t){var r=e.glplot.gl,n=ORt({gl:r}),i=new _8e(e,n,t.uid);return n._trace=i,i.update(t),e.glplot.add(n),i}b8e.exports={findNearestOnAxis:ek,generateIsoMeshes:x8e,createIsosurfaceTrace:GRt}});var T8e=ye((Pgr,w8e)=>{\"use strict\";w8e.exports={attributes:sF(),supplyDefaults:YX().supplyDefaults,calc:$X(),colorbar:{min:\"cmin\",max:\"cmax\"},plot:cF().createIsosurfaceTrace,moduleType:\"trace\",name:\"isosurface\",basePlotModule:$_(),categories:[\"gl3d\",\"showLegend\"],meta:{}}});var S8e=ye((Igr,A8e)=>{\"use strict\";A8e.exports=T8e()});var tZ=ye((Rgr,E8e)=>{\"use strict\";var HRt=Tu(),yh=sF(),jRt=JE(),M8e=Gl(),eZ=Ao().extendFlat,WRt=mc().overrideAll,fF=E8e.exports=WRt(eZ({x:yh.x,y:yh.y,z:yh.z,value:yh.value,isomin:yh.isomin,isomax:yh.isomax,surface:yh.surface,spaceframe:{show:{valType:\"boolean\",dflt:!1},fill:{valType:\"number\",min:0,max:1,dflt:1}},slices:yh.slices,caps:yh.caps,text:yh.text,hovertext:yh.hovertext,xhoverformat:yh.xhoverformat,yhoverformat:yh.yhoverformat,zhoverformat:yh.zhoverformat,valuehoverformat:yh.valuehoverformat,hovertemplate:yh.hovertemplate,hovertemplatefallback:yh.hovertemplatefallback},HRt(\"\",{colorAttr:\"`value`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{colorbar:yh.colorbar,opacity:yh.opacity,opacityscale:jRt.opacityscale,lightposition:yh.lightposition,lighting:yh.lighting,flatshading:yh.flatshading,contour:yh.contour,hoverinfo:eZ({},M8e.hoverinfo),showlegend:eZ({},M8e.showlegend,{dflt:!1})}),\"calc\",\"nested\");fF.x.editType=fF.y.editType=fF.z.editType=fF.value.editType=\"calc+clearAxisTypes\"});var C8e=ye((Dgr,k8e)=>{\"use strict\";var XRt=Dr(),ZRt=tZ(),YRt=YX().supplyIsoDefaults,KRt=GX().opacityscaleDefaults;k8e.exports=function(t,r,n,i){function a(o,s){return XRt.coerce(t,r,ZRt,o,s)}YRt(t,r,n,i,a),KRt(t,r,i,a)}});var R8e=ye((Fgr,I8e)=>{\"use strict\";var JRt=Od().gl_mesh3d,$Rt=$y().parseColorScale,QRt=Dr().isArrayOrTypedArray,eDt=Jy(),tDt=tc().extractOpts,L8e=ZA(),rZ=cF().findNearestOnAxis,rDt=cF().generateIsoMeshes;function P8e(e,t,r){this.scene=e,this.uid=r,this.mesh=t,this.name=\"\",this.data=null,this.showContour=!1}var iZ=P8e.prototype;iZ.handlePick=function(e){if(e.object===this.mesh){var t=e.data.index,r=this.data._meshX[t],n=this.data._meshY[t],i=this.data._meshZ[t],a=this.data._Ys.length,o=this.data._Zs.length,s=rZ(r,this.data._Xs).id,l=rZ(n,this.data._Ys).id,u=rZ(i,this.data._Zs).id,c=e.index=u+o*l+o*a*s;e.traceCoordinate=[this.data._meshX[c],this.data._meshY[c],this.data._meshZ[c],this.data._value[c]];var f=this.data.hovertext||this.data.text;return QRt(f)&&f[c]!==void 0?e.textLabel=f[c]:f&&(e.textLabel=f),!0}};iZ.update=function(e){var t=this.scene,r=t.fullSceneLayout;this.data=rDt(e);function n(l,u,c,f){return u.map(function(h){return l.d2l(h,0,f)*c})}var i=L8e(n(r.xaxis,e._meshX,t.dataScale[0],e.xcalendar),n(r.yaxis,e._meshY,t.dataScale[1],e.ycalendar),n(r.zaxis,e._meshZ,t.dataScale[2],e.zcalendar)),a=L8e(e._meshI,e._meshJ,e._meshK),o={positions:i,cells:a,lightPosition:[e.lightposition.x,e.lightposition.y,e.lightposition.z],ambient:e.lighting.ambient,diffuse:e.lighting.diffuse,specular:e.lighting.specular,roughness:e.lighting.roughness,fresnel:e.lighting.fresnel,vertexNormalsEpsilon:e.lighting.vertexnormalsepsilon,faceNormalsEpsilon:e.lighting.facenormalsepsilon,opacity:e.opacity,opacityscale:e.opacityscale,contourEnable:e.contour.show,contourColor:eDt(e.contour.color).slice(0,3),contourWidth:e.contour.width,useFacetNormals:e.flatshading},s=tDt(e);o.vertexIntensity=e._meshIntensity,o.vertexIntensityBounds=[s.min,s.max],o.colormap=$Rt(e),this.mesh.update(o)};iZ.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()};function iDt(e,t){var r=e.glplot.gl,n=JRt({gl:r}),i=new P8e(e,n,t.uid);return n._trace=i,i.update(t),e.glplot.add(n),i}I8e.exports=iDt});var F8e=ye((zgr,D8e)=>{\"use strict\";D8e.exports={attributes:tZ(),supplyDefaults:C8e(),calc:$X(),colorbar:{min:\"cmin\",max:\"cmax\"},plot:R8e(),moduleType:\"trace\",name:\"volume\",basePlotModule:$_(),categories:[\"gl3d\",\"showLegend\"],meta:{}}});var O8e=ye((Ogr,z8e)=>{\"use strict\";z8e.exports=F8e()});var N8e=ye((qgr,B8e)=>{\"use strict\";var nDt=qa(),q8e=Dr(),aDt=Qh(),oDt=WA();B8e.exports=function(t,r,n,i){function a(c,f){return q8e.coerce(t,r,oDt,c,f)}function o(c){var f=c.map(function(h){var d=a(h);return d&&q8e.isArrayOrTypedArray(d)?d:null});return f.every(function(h){return h&&h.length===f[0].length})&&f}var s=o([\"x\",\"y\",\"z\"]);if(!s){r.visible=!1;return}if(o([\"i\",\"j\",\"k\"]),r.i&&(!r.j||!r.k)||r.j&&(!r.k||!r.i)||r.k&&(!r.i||!r.j)){r.visible=!1;return}var l=nDt.getComponentMethod(\"calendars\",\"handleTraceDefaults\");l(t,r,[\"x\",\"y\",\"z\"],i),[\"lighting.ambient\",\"lighting.diffuse\",\"lighting.specular\",\"lighting.roughness\",\"lighting.fresnel\",\"lighting.vertexnormalsepsilon\",\"lighting.facenormalsepsilon\",\"lightposition.x\",\"lightposition.y\",\"lightposition.z\",\"flatshading\",\"alphahull\",\"delaunayaxis\",\"opacity\"].forEach(function(c){a(c)});var u=a(\"contour.show\");u&&(a(\"contour.color\"),a(\"contour.width\")),\"intensity\"in t?(a(\"intensity\"),a(\"intensitymode\"),aDt(t,r,i,a,{prefix:\"\",cLetter:\"c\"})):(r.showscale=!1,\"facecolor\"in t?a(\"facecolor\"):\"vertexcolor\"in t?a(\"vertexcolor\"):a(\"color\",n)),a(\"text\"),a(\"hovertext\"),a(\"hovertemplate\"),a(\"hovertemplatefallback\"),a(\"xhoverformat\"),a(\"yhoverformat\"),a(\"zhoverformat\"),r._length=null}});var V8e=ye((Bgr,U8e)=>{\"use strict\";var sDt=gv();U8e.exports=function(t,r){r.intensity&&sDt(t,r,{vals:r.intensity,containerStr:\"\",cLetter:\"c\"})}});var X8e=ye((Ngr,W8e)=>{\"use strict\";var lDt=Od().gl_mesh3d,uDt=Od().delaunay_triangulate,cDt=Od().alpha_shape,fDt=Od().convex_hull,hDt=$y().parseColorScale,dDt=Dr().isArrayOrTypedArray,sZ=Jy(),vDt=tc().extractOpts,G8e=ZA();function j8e(e,t,r){this.scene=e,this.uid=r,this.mesh=t,this.name=\"\",this.color=\"#fff\",this.data=null,this.showContour=!1}var lZ=j8e.prototype;lZ.handlePick=function(e){if(e.object===this.mesh){var t=e.index=e.data.index;e.data._cellCenter?e.traceCoordinate=e.data.dataCoordinate:e.traceCoordinate=[this.data.x[t],this.data.y[t],this.data.z[t]];var r=this.data.hovertext||this.data.text;return dDt(r)&&r[t]!==void 0?e.textLabel=r[t]:r&&(e.textLabel=r),!0}};function H8e(e){for(var t=[],r=e.length,n=0;n<r;n++)t[n]=sZ(e[n]);return t}function nZ(e,t,r,n){for(var i=[],a=t.length,o=0;o<a;o++)i[o]=e.d2l(t[o],0,n)*r;return i}function aZ(e){for(var t=[],r=e.length,n=0;n<r;n++)t[n]=Math.round(e[n]);return t}function pDt(e,t){for(var r=[\"x\",\"y\",\"z\"].indexOf(e),n=[],i=t.length,a=0;a<i;a++)n[a]=[t[a][(r+1)%3],t[a][(r+2)%3]];return uDt(n)}function oZ(e,t){for(var r=e.length,n=0;n<r;n++)if(e[n]<=-.5||e[n]>=t-.5)return!1;return!0}lZ.update=function(e){var t=this.scene,r=t.fullSceneLayout;this.data=e;var n=e.x.length,i=G8e(nZ(r.xaxis,e.x,t.dataScale[0],e.xcalendar),nZ(r.yaxis,e.y,t.dataScale[1],e.ycalendar),nZ(r.zaxis,e.z,t.dataScale[2],e.zcalendar)),a;if(e.i&&e.j&&e.k){if(e.i.length!==e.j.length||e.j.length!==e.k.length||!oZ(e.i,n)||!oZ(e.j,n)||!oZ(e.k,n))return;a=G8e(aZ(e.i),aZ(e.j),aZ(e.k))}else e.alphahull===0?a=fDt(i):e.alphahull>0?a=cDt(e.alphahull,i):a=pDt(e.delaunayaxis,i);var o={positions:i,cells:a,lightPosition:[e.lightposition.x,e.lightposition.y,e.lightposition.z],ambient:e.lighting.ambient,diffuse:e.lighting.diffuse,specular:e.lighting.specular,roughness:e.lighting.roughness,fresnel:e.lighting.fresnel,vertexNormalsEpsilon:e.lighting.vertexnormalsepsilon,faceNormalsEpsilon:e.lighting.facenormalsepsilon,opacity:e.opacity,contourEnable:e.contour.show,contourColor:sZ(e.contour.color).slice(0,3),contourWidth:e.contour.width,useFacetNormals:e.flatshading};if(e.intensity){var s=vDt(e);this.color=\"#fff\";var l=e.intensitymode;o[l+\"Intensity\"]=e.intensity,o[l+\"IntensityBounds\"]=[s.min,s.max],o.colormap=hDt(e)}else e.vertexcolor?(this.color=e.vertexcolor[0],o.vertexColors=H8e(e.vertexcolor)):e.facecolor?(this.color=e.facecolor[0],o.cellColors=H8e(e.facecolor)):(this.color=e.color,o.meshColor=sZ(e.color));this.mesh.update(o)};lZ.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()};function gDt(e,t){var r=e.glplot.gl,n=lDt({gl:r}),i=new j8e(e,n,t.uid);return n._trace=i,i.update(t),e.glplot.add(n),i}W8e.exports=gDt});var Y8e=ye((Ugr,Z8e)=>{\"use strict\";Z8e.exports={attributes:WA(),supplyDefaults:N8e(),calc:V8e(),colorbar:{min:\"cmin\",max:\"cmax\"},plot:X8e(),moduleType:\"trace\",name:\"mesh3d\",basePlotModule:$_(),categories:[\"gl3d\",\"showLegend\"],meta:{}}});var J8e=ye((Vgr,K8e)=>{\"use strict\";K8e.exports=Y8e()});var cZ=ye((Ggr,Q8e)=>{\"use strict\";var mDt=Tu(),YA=df().axisHoverFormat,{hovertemplateAttrs:yDt,templatefallbackAttrs:_Dt}=Ll(),xDt=WA(),$8e=Gl(),uZ=Ao().extendFlat,hF={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:yDt({editType:\"calc\"},{keys:[\"norm\"]}),hovertemplatefallback:_Dt({editType:\"calc\"}),uhoverformat:YA(\"u\",1),vhoverformat:YA(\"v\",1),whoverformat:YA(\"w\",1),xhoverformat:YA(\"x\"),yhoverformat:YA(\"y\"),zhoverformat:YA(\"z\"),showlegend:uZ({},$8e.showlegend,{dflt:!1})};uZ(hF,mDt(\"\",{colorAttr:\"u/v/w 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Be=[[ve[0],ve[1],_(ve[1]),o(ve[1])],[be[0],be[1],_(be[1]),o(be[1])],[De[0],De[1],_(De[1]),o(De[1])]],et=Be[2],We,it=0;it<3;++it,et=We)We=Be[it],et.v=Br(We[1]-et[1],et[3],et[2],We[3],We[2],We[0]-et[0]),et.point=[0,0];var Ft=Vr(Be[0].v[0],Be[2].v[0],Be[1].v[0]),Ht=Vr(Be[0].v[0],Be[1].v[0],Be[2].v[0]),tr=E-Ft;Be[2].point[1]=0,Be[0].point[0]=-(Be[1].point[0]=Be[0].v[0]/2);var dr=[Be[2].point[0]=Be[0].point[0]+Be[2].v[0]*o(Ft),2*(Be[0].point[1]=Be[1].point[1]=Be[2].v[0]*_(Ft))];function Sr(Or,Wr){var ni=_(Wr),Pi=o(Wr),cn=new Array(3),ln;for(ln=0;ln<3;++ln){var Cn=Be[ln];if(cn[ln]=Br(Wr-Cn[1],Cn[3],Cn[2],Pi,ni,Or-Cn[0]),!cn[ln][0])return Cn.point;cn[ln][1]=dt(cn[ln][1]-Cn.v[1])}var Kn=dr.slice();for(ln=0;ln<3;++ln){var Ta=ln==2?0:ln+1,fa=Vr(Be[ln].v[0],cn[ln][0],cn[Ta][0]);cn[ln][1]<0&&(fa=-fa),ln?ln==1?(fa=Ht-fa,Kn[0]-=cn[ln][0]*o(fa),Kn[1]-=cn[ln][0]*_(fa)):(fa=tr-fa,Kn[0]+=cn[ln][0]*o(fa),Kn[1]+=cn[ln][0]*_(fa)):(Kn[0]+=cn[ln][0]*o(fa),Kn[1]-=cn[ln][0]*_(fa))}return 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De=(1+S)*_(be),Be=0,et=1/0;Be<10&&n(et)>p;Be++)be-=et=(be+_(be)-De)/(1+o(be));return De=G(2+E),[ve*(1+o(be))/De,2*be/De]}wt.invert=function(ve,be){var De=1+S,Be=G(De/2);return[ve*2*Be/(1+o(be*=Be)),O((be+_(be))/De)]};function rr(){return t.geoProjection(wt).scale(173.044)}var nr=3+2*C;function Er(ve,be){var De=_(ve/=2),Be=o(ve),et=G(o(be)),We=o(be/=2),it=_(be)/(We+C*Be*et),Ft=G(2/(1+it*it)),Ht=G((C*We+(Be+De)*et)/(C*We+(Be-De)*et));return[nr*(Ft*(Ht-1/Ht)-2*u(Ht)),nr*(Ft*it*(Ht+1/Ht)-2*i(it))]}Er.invert=function(ve,be){if(!(We=Se.invert(ve/1.2,be*1.065)))return null;var De=We[0],Be=We[1],et=20,We;ve/=nr,be/=nr;do{var it=De/2,Ft=Be/2,Ht=_(it),tr=o(it),dr=_(Ft),Sr=o(Ft),Or=o(Be),Wr=G(Or),ni=dr/(Sr+C*tr*Wr),Pi=ni*ni,cn=G(2/(1+Pi)),ln=C*Sr+(tr+Ht)*Wr,Cn=C*Sr+(tr-Ht)*Wr,Kn=ln/Cn,Ta=G(Kn),fa=Ta-1/Ta,$a=Ta+1/Ta,Co=cn*fa-2*u(Ta)-ve,Qa=cn*ni*$a-2*i(ni)-be,mo=dr&&x*Wr*Ht*Pi/dr,Bo=(C*tr*Sr+Wr)/(2*(Sr+C*tr*Wr)*(Sr+C*tr*Wr)*Wr),Ps=-.5*ni*cn*cn*cn,Ts=Ps*mo,wo=Ps*Bo,To=(To=2*Sr+C*Wr*(tr-Ht))*To*Ta,hl=(C*tr*Sr*Wr+Or)/To,Ul=-(C*Ht*dr)/(Wr*To),Lu=fa*Ts-2*hl/Ta+cn*(hl+hl/Kn),au=fa*wo-2*Ul/Ta+cn*(Ul+Ul/Kn),Js=ni*$a*Ts-2*mo/(1+Pi)+cn*$a*mo+cn*ni*(hl-hl/Kn),Ql=ni*$a*wo-2*Bo/(1+Pi)+cn*$a*Bo+cn*ni*(Ul-Ul/Kn),dc=au*Js-Ql*Lu;if(!dc)break;var Tl=(Qa*au-Co*Ql)/dc,Al=(Co*Js-Qa*Lu)/dc;De-=Tl,Be=c(-S,f(S,Be-Al))}while((n(Tl)>p||n(Al)>p)&&--et>0);return n(n(Be)-S)<p?[0,Be]:et&&[De,Be]};function Xr(){return t.geoProjection(Er).scale(62.5271)}var ri=o(35*T);function Qr(ve,be){var De=b(be/2);return[ve*ri*G(1-De*De),(1+ri)*De]}Qr.invert=function(ve,be){var De=be/(1+ri);return[ve&&ve/(ri*G(1-De*De)),2*i(De)]};function Oi(){return t.geoProjection(Qr).scale(137.152)}function $i(ve,be){var De=be/2,Be=o(De);return[2*ve/M*o(be)*Be*Be,M*b(De)]}$i.invert=function(ve,be){var De=i(be/M),Be=o(De),et=2*De;return[ve*M/2/(o(et)*Be*Be),et]};function tn(){return t.geoProjection($i).scale(135.264)}function fn(ve){var be=1-ve,De=We(E,0)[0]-We(-E,0)[0],Be=We(0,S)[1]-We(0,-S)[1],et=G(2*Be/De);function We(Ht,tr){var dr=o(tr),Sr=_(tr);return[dr/(be+ve*dr)*Ht,be*tr+ve*Sr]}function it(Ht,tr){var dr=We(Ht,tr);return[dr[0]*et,dr[1]/et]}function Ft(Ht){return it(0,Ht)[1]}return it.invert=function(Ht,tr){var dr=Zt(Ft,tr),Sr=Ht/et*(ve+be/o(dr));return[Sr,dr]},it}function yn(){var ve=.5,be=t.geoProjectionMutator(fn),De=be(ve);return De.alpha=function(Be){return arguments.length?be(ve=+Be):ve},De.scale(168.725)}function Sn(ve){return[ve[0]/2,O(b(ve[1]/2*T))*P]}function Ba(ve){return[ve[0]*2,2*i(_(ve[1]*T))*P]}function ua(ve){ve==null&&(ve=t.geoOrthographic);var be=ve(),De=t.geoEquirectangular().scale(P).precision(0).clipAngle(null).translate([0,0]);function Be(We){return be(Sn(We))}be.invert&&(Be.invert=function(We){return Ba(be.invert(We))}),Be.stream=function(We){var it=be.stream(We),Ft=De.stream({point:function(Ht,tr){it.point(Ht/2,O(b(-tr/2*T))*P)},lineStart:function(){it.lineStart()},lineEnd:function(){it.lineEnd()},polygonStart:function(){it.polygonStart()},polygonEnd:function(){it.polygonEnd()}});return Ft.sphere=it.sphere,Ft};function et(We){Be[We]=function(){return arguments.length?(be[We].apply(be,arguments),Be):be[We]()}}return Be.rotate=function(We){return arguments.length?(De.rotate(We),Be):De.rotate()},Be.center=function(We){return arguments.length?(be.center(Sn(We)),Be):Ba(be.center())},et(\"angle\"),et(\"clipAngle\"),et(\"clipExtent\"),et(\"fitExtent\"),et(\"fitHeight\"),et(\"fitSize\"),et(\"fitWidth\"),et(\"scale\"),et(\"translate\"),et(\"precision\"),Be.scale(249.5)}function ma(ve,be){var De=2*E/be,Be=ve*ve;function et(We,it){var Ft=t.geoAzimuthalEquidistantRaw(We,it),Ht=Ft[0],tr=Ft[1],dr=Ht*Ht+tr*tr;if(dr>Be){var Sr=G(dr),Or=a(tr,Ht),Wr=De*d(Or/De),ni=Or-Wr,Pi=ve*o(ni),cn=(ve*_(ni)-ni*_(Pi))/(S-Pi),ln=Wa(ni,cn),Cn=(E-ve)/Fa(ln,Pi,E);Ht=Sr;var Kn=50,Ta;do Ht-=Ta=(ve+Fa(ln,Pi,Ht)*Cn-Sr)/(ln(Ht)*Cn);while(n(Ta)>p&&--Kn>0);tr=ni*_(Ht),Ht<S&&(tr-=cn*(Ht-S));var fa=_(Wr),$a=o(Wr);Ft[0]=Ht*$a-tr*fa,Ft[1]=Ht*fa+tr*$a}return Ft}return et.invert=function(We,it){var Ft=We*We+it*it;if(Ft>Be){var Ht=G(Ft),tr=a(it,We),dr=De*d(tr/De),Sr=tr-dr;We=Ht*o(Sr),it=Ht*_(Sr);for(var Or=We-S,Wr=_(We),ni=it/Wr,Pi=We<S?1/0:0,cn=10;;){var ln=ve*_(ni),Cn=ve*o(ni),Kn=_(Cn),Ta=S-Cn,fa=(ln-ni*Kn)/Ta,$a=Wa(ni,fa);if(n(Pi)<k||!--cn)break;ni-=Pi=(ni*Wr-fa*Or-it)/(Wr-Or*2*(Ta*(Cn+ni*ln*o(Cn)-Kn)-ln*(ln-ni*Kn))/(Ta*Ta))}Ht=ve+Fa($a,Cn,We)*(E-ve)/Fa($a,Cn,E),tr=dr+ni,We=Ht*o(tr),it=Ht*_(tr)}return t.geoAzimuthalEquidistantRaw.invert(We,it)},et}function Wa(ve,be){return function(De){var Be=ve*o(De);return De<S&&(Be-=be),G(1+Be*Be)}}function Fa(ve,be,De){for(var Be=50,et=(De-be)/Be,We=ve(be)+ve(De),it=1,Ft=be;it<Be;++it)We+=2*ve(Ft+=et);return We*.5*et}function Wo(){var ve=6,be=30*T,De=o(be),Be=_(be),et=t.geoProjectionMutator(ma),We=et(be,ve),it=We.stream,Ft=.01,Ht=-o(Ft*T),tr=_(Ft*T);return We.radius=function(dr){return arguments.length?(De=o(be=dr*T),Be=_(be),et(be,ve)):be*P},We.lobes=function(dr){return arguments.length?et(be,ve=+dr):ve},We.stream=function(dr){var Sr=We.rotate(),Or=it(dr),Wr=(We.rotate([0,0]),it(dr));return We.rotate(Sr),Or.sphere=function(){Wr.polygonStart(),Wr.lineStart();for(var ni=0,Pi=2*E/ve,cn=0;ni<ve;++ni,cn-=Pi)Wr.point(a(tr*o(cn),Ht)*P,O(tr*_(cn))*P),Wr.point(a(Be*o(cn-Pi/2),De)*P,O(Be*_(cn-Pi/2))*P);Wr.lineEnd(),Wr.polygonEnd()},Or},We.rotate([90,-40]).scale(91.7095).clipAngle(180-.001)}function da(ve,be,De,Be,et,We,it,Ft){arguments.length<8&&(Ft=0);function Ht(tr,dr){if(!dr)return[ve*tr/E,0];var Sr=dr*dr,Or=ve+Sr*(be+Sr*(De+Sr*Be)),Wr=dr*(et-1+Sr*(We-Ft+Sr*it)),ni=(Or*Or+Wr*Wr)/(2*Wr),Pi=tr*O(Or/ni)/E;return[ni*_(Pi),dr*(1+Sr*Ft)+ni*(1-o(Pi))]}return Ht.invert=function(tr,dr){var Sr=E*tr/ve,Or=dr,Wr,ni,Pi=50;do{var cn=Or*Or,ln=ve+cn*(be+cn*(De+cn*Be)),Cn=Or*(et-1+cn*(We-Ft+cn*it)),Kn=ln*ln+Cn*Cn,Ta=2*Cn,fa=Kn/Ta,$a=fa*fa,Co=O(ln/fa)/E,Qa=Sr*Co,mo=ln*ln,Bo=(2*be+cn*(4*De+cn*6*Be))*Or,Ps=et+cn*(3*We+cn*5*it),Ts=2*(ln*Bo+Cn*(Ps-1)),wo=2*(Ps-1),To=(Ts*Ta-Kn*wo)/(Ta*Ta),hl=o(Qa),Ul=_(Qa),Lu=fa*hl,au=fa*Ul,Js=Sr/E*(1/G(1-mo/$a))*(Bo*fa-ln*To)/$a,Ql=au-tr,dc=Or*(1+cn*Ft)+fa-Lu-dr,Tl=To*Ul+Lu*Js,Al=Lu*Co,X=1+To-(To*hl-au*Js),se=au*Co,Te=Tl*se-X*Al;if(!Te)break;Sr-=Wr=(dc*Tl-Ql*X)/Te,Or-=ni=(Ql*se-dc*Al)/Te}while((n(Wr)>p||n(ni)>p)&&--Pi>0);return[Sr,Or]},Ht}var Wn=da(2.8284,-1.6988,.75432,-.18071,1.76003,-.38914,.042555);function Ha(){return t.geoProjection(Wn).scale(149.995)}var vo=da(2.583819,-.835827,.170354,-.038094,1.543313,-.411435,.082742);function jn(){return t.geoProjection(vo).scale(153.93)}var Mt=da(5/6*E,-.62636,-.0344,0,1.3493,-.05524,0,.045);function kr(){return t.geoProjection(Mt).scale(130.945)}function Jr(ve,be){var De=ve*ve,Be=be*be;return[ve*(1-.162388*Be)*(.87-952426e-9*De*De),be*(1+Be/12)]}Jr.invert=function(ve,be){var De=ve,Be=be,et=50,We;do{var it=Be*Be;Be-=We=(Be*(1+it/12)-be)/(1+it/4)}while(n(We)>p&&--et>0);et=50,ve/=1-.162388*it;do{var Ft=(Ft=De*De)*Ft;De-=We=(De*(.87-952426e-9*Ft)-ve)/(.87-.00476213*Ft)}while(n(We)>p&&--et>0);return[De,Be]};function vi(){return t.geoProjection(Jr).scale(131.747)}var hn=da(2.6516,-.76534,.19123,-.047094,1.36289,-.13965,.031762);function An(){return t.geoProjection(hn).scale(131.087)}function Mn(ve){var be=ve(S,0)[0]-ve(-S,0)[0];function De(Be,et){var We=Be>0?-.5:.5,it=ve(Be+We*E,et);return it[0]-=We*be,it}return ve.invert&&(De.invert=function(Be,et){var We=Be>0?-.5:.5,it=ve.invert(Be+We*be,et),Ft=it[0]-We*E;return Ft<-E?Ft+=2*E:Ft>E&&(Ft-=2*E),it[0]=Ft,it}),De}function Li(ve,be){var De=v(ve),Be=v(be),et=o(be),We=o(ve)*et,it=_(ve)*et,Ft=_(Be*be);ve=n(a(it,Ft)),be=O(We),n(ve-S)>p&&(ve%=S);var Ht=_n(ve>E/4?S-ve:ve,be);return ve>E/4&&(Ft=Ht[0],Ht[0]=-Ht[1],Ht[1]=-Ft),Ht[0]*=De,Ht[1]*=-Be,Ht}Li.invert=function(ve,be){n(ve)>1&&(ve=v(ve)*2-ve),n(be)>1&&(be=v(be)*2-be);var De=v(ve),Be=v(be),et=-De*ve,We=-Be*be,it=We/et<1,Ft=ya(it?We:et,it?et:We),Ht=Ft[0],tr=Ft[1],dr=o(tr);return it&&(Ht=-S-Ht),[De*(a(_(Ht)*dr,-_(tr))+E),Be*O(o(Ht)*dr)]};function _n(ve,be){if(be===S)return[0,0];var De=_(be),Be=De*De,et=Be*Be,We=1+et,it=1+3*et,Ft=1-et,Ht=O(1/G(We)),tr=Ft+Be*We*Ht,dr=(1-De)/tr,Sr=G(dr),Or=dr*We,Wr=G(Or),ni=Sr*Ft,Pi,cn;if(ve===0)return[0,-(ni+Be*Wr)];var ln=o(be),Cn=1/ln,Kn=2*De*ln,Ta=(-3*Be+Ht*it)*Kn,fa=(-tr*ln-(1-De)*Ta)/(tr*tr),$a=.5*fa/Sr,Co=Ft*$a-2*Be*Sr*Kn,Qa=Be*We*fa+dr*it*Kn,mo=-Cn*Kn,Bo=-Cn*Qa,Ps=-2*Cn*Co,Ts=4*ve/E,wo;if(ve>.222*E||be<E/4&&ve>.175*E){if(Pi=(ni+Be*G(Or*(1+et)-ni*ni))/(1+et),ve>E/4)return[Pi,Pi];var To=Pi,hl=.5*Pi;Pi=.5*(hl+To),cn=50;do{var Ul=G(Or-Pi*Pi),Lu=Pi*(Ps+mo*Ul)+Bo*O(Pi/Wr)-Ts;if(!Lu)break;Lu<0?hl=Pi:To=Pi,Pi=.5*(hl+To)}while(n(To-hl)>p&&--cn>0)}else{Pi=p,cn=25;do{var au=Pi*Pi,Js=G(Or-au),Ql=Ps+mo*Js,dc=Pi*Ql+Bo*O(Pi/Wr)-Ts,Tl=Ql+(Bo-mo*au)/Js;Pi-=wo=Js?dc/Tl:0}while(n(wo)>p&&--cn>0)}return[Pi,-ni-Be*G(Or-Pi*Pi)]}function ya(ve,be){for(var De=0,Be=1,et=.5,We=50;;){var it=et*et,Ft=G(et),Ht=O(1/G(1+it)),tr=1-it+et*(1+it)*Ht,dr=(1-Ft)/tr,Sr=G(dr),Or=dr*(1+it),Wr=Sr*(1-it),ni=Or-ve*ve,Pi=G(ni),cn=be+Wr+et*Pi;if(n(Be-De)<k||--We===0||cn===0)break;cn>0?De=et:Be=et,et=.5*(De+Be)}if(!We)return null;var ln=O(Ft),Cn=o(ln),Kn=1/Cn,Ta=2*Ft*Cn,fa=(-3*et+Ht*(1+3*it))*Ta,$a=(-tr*Cn-(1-Ft)*fa)/(tr*tr),Co=.5*$a/Sr,Qa=(1-it)*Co-2*et*Sr*Ta,mo=-2*Kn*Qa,Bo=-Kn*Ta,Ps=-Kn*(et*(1+it)*$a+dr*(1+3*it)*Ta);return[E/4*(ve*(mo+Bo*Pi)+Ps*O(ve/G(Or))),ln]}function Jn(){return t.geoProjection(Mn(Li)).scale(239.75)}function Ma(ve,be,De){var Be,et,We;return ve?(Be=_o(ve,De),be?(et=_o(be,1-De),We=et[1]*et[1]+De*Be[0]*Be[0]*et[0]*et[0],[[Be[0]*et[2]/We,Be[1]*Be[2]*et[0]*et[1]/We],[Be[1]*et[1]/We,-Be[0]*Be[2]*et[0]*et[2]/We],[Be[2]*et[1]*et[2]/We,-De*Be[0]*Be[1]*et[0]/We]]):[[Be[0],0],[Be[1],0],[Be[2],0]]):(et=_o(be,1-De),[[0,et[0]/et[1]],[1/et[1],0],[et[2]/et[1],0]])}function _o(ve,be){var De,Be,et,We,it;if(be<p)return We=_(ve),Be=o(ve),De=be*(ve-We*Be)/4,[We-De*Be,Be+De*We,1-be*We*We/2,ve-De];if(be>=1-p)return De=(1-be)/4,Be=N(ve),We=Z(ve),et=1/Be,it=Be*j(ve),[We+De*(it-ve)/(Be*Be),et-De*We*et*(it-ve),et+De*We*et*(it+ve),2*i(s(ve))-S+De*(it-ve)/Be];var Ft=[1,0,0,0,0,0,0,0,0],Ht=[G(be),0,0,0,0,0,0,0,0],tr=0;for(Be=G(1-be),it=1;n(Ht[tr]/Ft[tr])>p&&tr<8;)De=Ft[tr++],Ht[tr]=(De-Be)/2,Ft[tr]=(De+Be)/2,Be=G(De*Be),it*=2;et=it*Ft[tr]*ve;do We=Ht[tr]*_(Be=et)/Ft[tr],et=(O(We)+et)/2;while(--tr);return[_(et),We=o(et),We/o(et-Be),et]}function No(ve,be,De){var Be=n(ve),et=n(be),We=j(et);if(Be){var it=1/_(Be),Ft=1/(b(Be)*b(Be)),Ht=-(Ft+De*(We*We*it*it)-1+De),tr=(De-1)*Ft,dr=(-Ht+G(Ht*Ht-4*tr))/2;return[po(i(1/G(dr)),De)*v(ve),po(i(G((dr/Ft-1)/De)),1-De)*v(be)]}return[0,po(i(We),1-De)*v(be)]}function po(ve,be){if(!be)return ve;if(be===1)return u(b(ve/2+L));for(var De=1,Be=G(1-be),et=G(be),We=0;n(et)>p;We++){if(ve%E){var it=i(Be*b(ve)/De);it<0&&(it+=E),ve+=it+~~(ve/E)*E}else ve+=ve;et=(De+Be)/2,Be=G(De*Be),et=((De=et)-Be)/2}return ve/(h(2,We)*De)}function Lo(ve,be){var De=(C-1)/(C+1),Be=G(1-De*De),et=po(S,Be*Be),We=-1,it=u(b(E/4+n(be)/2)),Ft=s(We*it)/G(De),Ht=ko(Ft*o(We*ve),Ft*_(We*ve)),tr=No(Ht[0],Ht[1],Be*Be);return[-tr[1],(be>=0?1:-1)*(.5*et-tr[0])]}function ko(ve,be){var De=ve*ve,Be=be+1,et=1-De-be*be;return[.5*((ve>=0?S:-S)-a(et,2*ve)),-.25*u(et*et+4*De)+.5*u(Be*Be+De)]}function Ds(ve,be){var De=be[0]*be[0]+be[1]*be[1];return[(ve[0]*be[0]+ve[1]*be[1])/De,(ve[1]*be[0]-ve[0]*be[1])/De]}Lo.invert=function(ve,be){var De=(C-1)/(C+1),Be=G(1-De*De),et=po(S,Be*Be),We=-1,it=Ma(.5*et-be,-ve,Be*Be),Ft=Ds(it[0],it[1]),Ht=a(Ft[1],Ft[0])/We;return[Ht,2*i(s(.5/We*u(De*Ft[0]*Ft[0]+De*Ft[1]*Ft[1])))-S]};function Fs(){return t.geoProjection(Mn(Lo)).scale(151.496)}function ll(ve){var be=_(ve),De=o(ve),Be=ul(ve);Be.invert=ul(-ve);function et(We,it){var Ft=Be(We,it);We=Ft[0],it=Ft[1];var Ht=_(it),tr=o(it),dr=o(We),Sr=V(be*Ht+De*tr*dr),Or=_(Sr),Wr=n(Or)>p?Sr/Or:1;return[Wr*De*_(We),(n(We)>S?Wr:-Wr)*(be*tr-De*Ht*dr)]}return et.invert=function(We,it){var Ft=G(We*We+it*it),Ht=-_(Ft),tr=o(Ft),dr=Ft*tr,Sr=-it*Ht,Or=Ft*be,Wr=G(dr*dr+Sr*Sr-Or*Or),ni=a(dr*Or+Sr*Wr,Sr*Or-dr*Wr),Pi=(Ft>S?-1:1)*a(We*Ht,Ft*o(ni)*tr+it*_(ni)*Ht);return Be.invert(Pi,ni)},et}function ul(ve){var be=_(ve),De=o(ve);return function(Be,et){var We=o(et),it=o(Be)*We,Ft=_(Be)*We,Ht=_(et);return[a(Ft,it*De-Ht*be),O(Ht*De+it*be)]}}function zl(){var ve=0,be=t.geoProjectionMutator(ll),De=be(ve),Be=De.rotate,et=De.stream,We=t.geoCircle();return De.parallel=function(it){if(!arguments.length)return ve*P;var Ft=De.rotate();return be(ve=it*T).rotate(Ft)},De.rotate=function(it){return arguments.length?(Be.call(De,[it[0],it[1]-ve*P]),We.center([-it[0],-it[1]]),De):(it=Be.call(De),it[1]+=ve*P,it)},De.stream=function(it){return it=et(it),it.sphere=function(){it.polygonStart();var Ft=.01,Ht=We.radius(90-Ft)().coordinates[0],tr=Ht.length-1,dr=-1,Sr;for(it.lineStart();++dr<tr;)it.point((Sr=Ht[dr])[0],Sr[1]);for(it.lineEnd(),Ht=We.radius(90+Ft)().coordinates[0],tr=Ht.length-1,it.lineStart();--dr>=0;)it.point((Sr=Ht[dr])[0],Sr[1]);it.lineEnd(),it.polygonEnd()},it},De.scale(79.4187).parallel(45).clipAngle(180-.001)}var us=3,il=O(1-1/us)*P,As=vr(0);function cl(ve){var be=il*T,De=xt(E,be)[0]-xt(-E,be)[0],Be=As(0,be)[1],et=xt(0,be)[1],We=M-et,it=g/ve,Ft=4/g,Ht=Be+We*We*4/g;function tr(dr,Sr){var Or,Wr=n(Sr);if(Wr>be){var ni=f(ve-1,c(0,l((dr+E)/it)));dr+=E*(ve-1)/ve-ni*it,Or=xt(dr,Wr),Or[0]=Or[0]*g/De-g*(ve-1)/(2*ve)+ni*g/ve,Or[1]=Be+(Or[1]-et)*4*We/g,Sr<0&&(Or[1]=-Or[1])}else Or=As(dr,Sr);return Or[0]*=Ft,Or[1]/=Ht,Or}return tr.invert=function(dr,Sr){dr/=Ft,Sr*=Ht;var Or=n(Sr);if(Or>Be){var Wr=f(ve-1,c(0,l((dr+E)/it)));dr=(dr+E*(ve-1)/ve-Wr*it)*De/g;var ni=xt.invert(dr,.25*(Or-Be)*g/We+et);return ni[0]-=E*(ve-1)/ve-Wr*it,Sr<0&&(ni[1]=-ni[1]),ni}return As.invert(dr,Sr)},tr}function Ks(ve,be){return[ve,be&1?90-p:il]}function zs(ve,be){return[ve,be&1?-90+p:-il]}function Io(ve){return[ve[0]*(1-p),ve[1]]}function ls(ve){var be=[].concat(r.range(-180,180+ve/2,ve).map(Ks),r.range(180,-180-ve/2,-ve).map(zs));return{type:\"Polygon\",coordinates:[ve===180?be.map(Io):be]}}function Zl(){var ve=4,be=t.geoProjectionMutator(cl),De=be(ve),Be=De.stream;return De.lobes=function(et){return arguments.length?be(ve=+et):ve},De.stream=function(et){var We=De.rotate(),it=Be(et),Ft=(De.rotate([0,0]),Be(et));return De.rotate(We),it.sphere=function(){t.geoStream(ls(180/ve),Ft)},it},De.scale(239.75)}function Su(ve){var be=1+ve,De=_(1/be),Be=O(De),et=2*G(E/(We=E+4*Be*be)),We,it=.5*et*(be+G(ve*(2+ve))),Ft=ve*ve,Ht=be*be;function tr(dr,Sr){var Or=1-_(Sr),Wr,ni;if(Or&&Or<2){var Pi=S-Sr,cn=25,ln;do{var Cn=_(Pi),Kn=o(Pi),Ta=Be+a(Cn,be-Kn),fa=1+Ht-2*be*Kn;Pi-=ln=(Pi-Ft*Be-be*Cn+fa*Ta-.5*Or*We)/(2*be*Cn*Ta)}while(n(ln)>k&&--cn>0);Wr=et*G(fa),ni=dr*Ta/E}else Wr=et*(ve+Or),ni=dr*Be/E;return[Wr*_(ni),it-Wr*o(ni)]}return tr.invert=function(dr,Sr){var Or=dr*dr+(Sr-=it)*Sr,Wr=(1+Ht-Or/(et*et))/(2*be),ni=V(Wr),Pi=_(ni),cn=Be+a(Pi,be-Wr);return[O(dr/G(Or))*E/cn,O(1-2*(ni-Ft*Be-be*Pi+(1+Ht-2*be*Wr)*cn)/We)]},tr}function nc(){var ve=1,be=t.geoProjectionMutator(Su),De=be(ve);return De.ratio=function(Be){return arguments.length?be(ve=+Be):ve},De.scale(167.774).center([0,18.67])}var bs=.7109889596207567,Rn=.0528035274542;function _a(ve,be){return be>-bs?(ve=sr(ve,be),ve[1]+=Rn,ve):_t(ve,be)}_a.invert=function(ve,be){return be>-bs?sr.invert(ve,be-Rn):_t.invert(ve,be)};function Vu(){return t.geoProjection(_a).rotate([-20,-55]).scale(164.263).center([0,-5.4036])}function Ol(ve,be){return n(be)>bs?(ve=sr(ve,be),ve[1]-=be>0?Rn:-Rn,ve):_t(ve,be)}Ol.invert=function(ve,be){return n(be)>bs?sr.invert(ve,be+(be>0?Rn:-Rn)):_t.invert(ve,be)};function xo(){return t.geoProjection(Ol).scale(152.63)}function Yl(ve,be,De,Be){var et=G(4*E/(2*De+(1+ve-be/2)*_(2*De)+(ve+be)/2*_(4*De)+be/2*_(6*De))),We=G(Be*_(De)*G((1+ve*o(2*De)+be*o(4*De))/(1+ve+be))),it=De*Ht(1);function Ft(Sr){return G(1+ve*o(2*Sr)+be*o(4*Sr))}function Ht(Sr){var Or=Sr*De;return(2*Or+(1+ve-be/2)*_(2*Or)+(ve+be)/2*_(4*Or)+be/2*_(6*Or))/De}function tr(Sr){return Ft(Sr)*_(Sr)}var dr=function(Sr,Or){var Wr=De*Zt(Ht,it*_(Or)/De,Or/E);isNaN(Wr)&&(Wr=De*v(Or));var ni=et*Ft(Wr);return[ni*We*Sr/E*o(Wr),ni/We*_(Wr)]};return dr.invert=function(Sr,Or){var Wr=Zt(tr,Or*We/et);return[Sr*E/(o(Wr)*et*We*Ft(Wr)),O(De*Ht(Wr/De)/it)]},De===0&&(et=G(Be/E),dr=function(Sr,Or){return[Sr*et,_(Or)/et]},dr.invert=function(Sr,Or){return[Sr/et,O(Or*et)]}),dr}function Ns(){var ve=1,be=0,De=45*T,Be=2,et=t.geoProjectionMutator(Yl),We=et(ve,be,De,Be);return We.a=function(it){return arguments.length?et(ve=+it,be,De,Be):ve},We.b=function(it){return arguments.length?et(ve,be=+it,De,Be):be},We.psiMax=function(it){return arguments.length?et(ve,be,De=+it*T,Be):De*P},We.ratio=function(it){return arguments.length?et(ve,be,De,Be=+it):Be},We.scale(180.739)}function Hl(ve,be,De,Be,et,We,it,Ft,Ht,tr,dr){if(dr.nanEncountered)return NaN;var Sr,Or,Wr,ni,Pi,cn,ln,Cn,Kn,Ta;if(Sr=De-be,Or=ve(be+Sr*.25),Wr=ve(De-Sr*.25),isNaN(Or)){dr.nanEncountered=!0;return}if(isNaN(Wr)){dr.nanEncountered=!0;return}return ni=Sr*(Be+4*Or+et)/12,Pi=Sr*(et+4*Wr+We)/12,cn=ni+Pi,Ta=(cn-it)/15,tr>Ht?(dr.maxDepthCount++,cn+Ta):Math.abs(Ta)<Ft?cn+Ta:(ln=be+Sr*.5,Cn=Hl(ve,be,ln,Be,Or,et,ni,Ft*.5,Ht,tr+1,dr),isNaN(Cn)?(dr.nanEncountered=!0,NaN):(Kn=Hl(ve,ln,De,et,Wr,We,Pi,Ft*.5,Ht,tr+1,dr),isNaN(Kn)?(dr.nanEncountered=!0,NaN):Cn+Kn))}function ac(ve,be,De,Be,et){var We={maxDepthCount:0,nanEncountered:!1};Be===void 0&&(Be=1e-8),et===void 0&&(et=20);var it=ve(be),Ft=ve(.5*(be+De)),Ht=ve(De),tr=(it+4*Ft+Ht)*(De-be)/6,dr=Hl(ve,be,De,it,Ft,Ht,tr,Be,et,1,We);return dr}function aa(ve,be,De){function Be(Wr){return ve+(1-ve)*h(1-h(Wr,be),1/be)}function et(Wr){return ac(Be,0,Wr,1e-4)}for(var We=1/et(1),it=1e3,Ft=(1+1e-8)*We,Ht=[],tr=0;tr<=it;tr++)Ht.push(et(tr/it)*Ft);function dr(Wr){var ni=0,Pi=it,cn=it>>1;do Ht[cn]>Wr?Pi=cn:ni=cn,cn=ni+Pi>>1;while(cn>ni);var ln=Ht[cn+1]-Ht[cn];return ln&&(ln=(Wr-Ht[cn+1])/ln),(cn+1+ln)/it}var Sr=2*dr(1)/E*We/De,Or=function(Wr,ni){var Pi=dr(n(_(ni))),cn=Be(Pi)*Wr;return Pi/=Sr,[cn,ni>=0?Pi:-Pi]};return Or.invert=function(Wr,ni){var Pi;return ni*=Sr,n(ni)<1&&(Pi=v(ni)*O(et(n(ni))*We)),[Wr/Be(n(ni)),Pi]},Or}function Oo(){var ve=0,be=2.5,De=1.183136,Be=t.geoProjectionMutator(aa),et=Be(ve,be,De);return et.alpha=function(We){return arguments.length?Be(ve=+We,be,De):ve},et.k=function(We){return arguments.length?Be(ve,be=+We,De):be},et.gamma=function(We){return arguments.length?Be(ve,be,De=+We):De},et.scale(152.63)}function qo(ve,be){return n(ve[0]-be[0])<p&&n(ve[1]-be[1])<p}function ql(ve,be){for(var De=-1,Be=ve.length,et=ve[0],We,it,Ft,Ht=[];++De<Be;){We=ve[De],it=(We[0]-et[0])/be,Ft=(We[1]-et[1])/be;for(var tr=0;tr<be;++tr)Ht.push([et[0]+tr*it,et[1]+tr*Ft]);et=We}return Ht.push(We),Ht}function Pc(ve){var be=[],De,Be,et,We,it,Ft,Ht,tr=ve[0].length;for(Ht=0;Ht<tr;++Ht)De=ve[0][Ht],Be=De[0][0],et=De[0][1],We=De[1][1],it=De[2][0],Ft=De[2][1],be.push(ql([[Be+p,et+p],[Be+p,We-p],[it-p,We-p],[it-p,Ft+p]],30));for(Ht=ve[1].length-1;Ht>=0;--Ht)De=ve[1][Ht],Be=De[0][0],et=De[0][1],We=De[1][1],it=De[2][0],Ft=De[2][1],be.push(ql([[it-p,Ft-p],[it-p,We+p],[Be+p,We+p],[Be+p,et-p]],30));return{type:\"Polygon\",coordinates:[r.merge(be)]}}function Do(ve,be,De){var Be,et;function We(Ht,tr){for(var dr=tr<0?-1:1,Sr=be[+(tr<0)],Or=0,Wr=Sr.length-1;Or<Wr&&Ht>Sr[Or][2][0];++Or);var ni=ve(Ht-Sr[Or][1][0],tr);return ni[0]+=ve(Sr[Or][1][0],dr*tr>dr*Sr[Or][0][1]?Sr[Or][0][1]:tr)[0],ni}De?We.invert=De(We):ve.invert&&(We.invert=function(Ht,tr){for(var dr=et[+(tr<0)],Sr=be[+(tr<0)],Or=0,Wr=dr.length;Or<Wr;++Or){var ni=dr[Or];if(ni[0][0]<=Ht&&Ht<ni[1][0]&&ni[0][1]<=tr&&tr<ni[1][1]){var Pi=ve.invert(Ht-ve(Sr[Or][1][0],0)[0],tr);return Pi[0]+=Sr[Or][1][0],qo(We(Pi[0],Pi[1]),[Ht,tr])?Pi:null}}});var it=t.geoProjection(We),Ft=it.stream;return it.stream=function(Ht){var tr=it.rotate(),dr=Ft(Ht),Sr=(it.rotate([0,0]),Ft(Ht));return it.rotate(tr),dr.sphere=function(){t.geoStream(Be,Sr)},dr},it.lobes=function(Ht){return arguments.length?(Be=Pc(Ht),be=Ht.map(function(tr){return tr.map(function(dr){return[[dr[0][0]*T,dr[0][1]*T],[dr[1][0]*T,dr[1][1]*T],[dr[2][0]*T,dr[2][1]*T]]})}),et=be.map(function(tr){return tr.map(function(dr){var Sr=ve(dr[0][0],dr[0][1])[0],Or=ve(dr[2][0],dr[2][1])[0],Wr=ve(dr[1][0],dr[0][1])[1],ni=ve(dr[1][0],dr[1][1])[1],Pi;return Wr>ni&&(Pi=Wr,Wr=ni,ni=Pi),[[Sr,Wr],[Or,ni]]})}),it):be.map(function(tr){return tr.map(function(dr){return[[dr[0][0]*P,dr[0][1]*P],[dr[1][0]*P,dr[1][1]*P],[dr[2][0]*P,dr[2][1]*P]]})})},be!=null&&it.lobes(be),it}var rf=[[[[-180,0],[-100,90],[-40,0]],[[-40,0],[30,90],[180,0]]],[[[-180,0],[-160,-90],[-100,0]],[[-100,0],[-60,-90],[-20,0]],[[-20,0],[20,-90],[80,0]],[[80,0],[140,-90],[180,0]]]];function Uf(){return Do(St,rf).scale(160.857)}var pl=[[[[-180,0],[-100,90],[-40,0]],[[-40,0],[30,90],[180,0]]],[[[-180,0],[-160,-90],[-100,0]],[[-100,0],[-60,-90],[-20,0]],[[-20,0],[20,-90],[80,0]],[[80,0],[140,-90],[180,0]]]];function Zc(){return Do(Ol,pl).scale(152.63)}var Kl=[[[[-180,0],[-100,90],[-40,0]],[[-40,0],[30,90],[180,0]]],[[[-180,0],[-160,-90],[-100,0]],[[-100,0],[-60,-90],[-20,0]],[[-20,0],[20,-90],[80,0]],[[80,0],[140,-90],[180,0]]]];function Os(){return Do(sr,Kl).scale(169.529)}var yu=[[[[-180,0],[-90,90],[0,0]],[[0,0],[90,90],[180,0]]],[[[-180,0],[-90,-90],[0,0]],[[0,0],[90,-90],[180,0]]]];function oc(){return Do(sr,yu).scale(169.529).rotate([20,0])}var Cf=[[[[-180,35],[-30,90],[0,35]],[[0,35],[30,90],[180,35]]],[[[-180,-10],[-102,-90],[-65,-10]],[[-65,-10],[5,-90],[77,-10]],[[77,-10],[103,-90],[180,-10]]]];function sc(){return Do(_a,Cf,st).rotate([-20,-55]).scale(164.263).center([0,-5.4036])}var Vh=[[[[-180,0],[-110,90],[-40,0]],[[-40,0],[0,90],[40,0]],[[40,0],[110,90],[180,0]]],[[[-180,0],[-110,-90],[-40,0]],[[-40,0],[0,-90],[40,0]],[[40,0],[110,-90],[180,0]]]];function Lf(){return Do(_t,Vh).scale(152.63).rotate([-20,0])}function cs(ve,be){return[3/g*ve*G(E*E/3-be*be),be]}cs.invert=function(ve,be){return[g/3*ve/G(E*E/3-be*be),be]};function nf(){return t.geoProjection(cs).scale(158.837)}function Vf(ve){function be(De,Be){if(n(n(Be)-S)<p)return[0,Be<0?-2:2];var et=_(Be),We=h((1+et)/(1-et),ve/2),it=.5*(We+1/We)+o(De*=ve);return[2*_(De)/it,(We-1/We)/it]}return be.invert=function(De,Be){var et=n(Be);if(n(et-2)<p)return De?null:[0,v(Be)*S];if(et>2)return null;De/=2,Be/=2;var We=De*De,it=Be*Be,Ft=2*Be/(1+We+it);return Ft=h((1+Ft)/(1-Ft),1/ve),[a(2*De,1-We-it)/ve,O((Ft-1)/(Ft+1))]},be}function Jl(){var ve=.5,be=t.geoProjectionMutator(Vf),De=be(ve);return De.spacing=function(Be){return arguments.length?be(ve=+Be):ve},De.scale(124.75)}var fl=E/C;function lc(ve,be){return[ve*(1+G(o(be)))/2,be/(o(be/2)*o(ve/6))]}lc.invert=function(ve,be){var De=n(ve),Be=n(be),et=p,We=S;Be<fl?We*=Be/fl:et+=6*V(fl/Be);for(var it=0;it<25;it++){var Ft=_(We),Ht=G(o(We)),tr=_(We/2),dr=o(We/2),Sr=_(et/6),Or=o(et/6),Wr=.5*et*(1+Ht)-De,ni=We/(dr*Or)-Be,Pi=Ht?-.25*et*Ft/Ht:0,cn=.5*(1+Ht),ln=(1+.5*We*tr/dr)/(dr*Or),Cn=We/dr*(Sr/6)/(Or*Or),Kn=Pi*Cn-ln*cn,Ta=(Wr*Cn-ni*cn)/Kn,fa=(ni*Pi-Wr*ln)/Kn;if(We-=Ta,et-=fa,n(Ta)<p&&n(fa)<p)break}return[ve<0?-et:et,be<0?-We:We]};function Fu(){return t.geoProjection(lc).scale(97.2672)}function Es(ve,be){var De=ve*ve,Be=be*be;return[ve*(.975534+Be*(-.119161+De*-.0143059+Be*-.0547009)),be*(1.00384+De*(.0802894+Be*-.02855+De*199025e-9)+Be*(.0998909+Be*-.0491032))]}Es.invert=function(ve,be){var De=v(ve)*E,Be=be/2,et=50;do{var We=De*De,it=Be*Be,Ft=De*Be,Ht=De*(.975534+it*(-.119161+We*-.0143059+it*-.0547009))-ve,tr=Be*(1.00384+We*(.0802894+it*-.02855+We*199025e-9)+it*(.0998909+it*-.0491032))-be,dr=.975534-it*(.119161+3*We*.0143059+it*.0547009),Sr=-Ft*(2*.119161+4*.0547009*it+2*.0143059*We),Or=Ft*(2*.0802894+4*199025e-9*We+2*-.02855*it),Wr=1.00384+We*(.0802894+199025e-9*We)+it*(3*(.0998909-.02855*We)-5*.0491032*it),ni=Sr*Or-Wr*dr,Pi=(tr*Sr-Ht*Wr)/ni,cn=(Ht*Or-tr*dr)/ni;De-=Pi,Be-=cn}while((n(Pi)>p||n(cn)>p)&&--et>0);return et&&[De,Be]};function Hs(){return t.geoProjection(Es).scale(139.98)}function Go(ve,be){return[_(ve)/o(be),b(be)*o(ve)]}Go.invert=function(ve,be){var De=ve*ve,Be=be*be,et=Be+1,We=De+et,it=ve?x*G((We-G(We*We-4*De))/De):1/G(et);return[O(ve*it),v(be)*V(it)]};function ps(){return t.geoProjection(Go).scale(144.049).clipAngle(90-.001)}function uc(ve){var be=o(ve),De=b(L+ve/2);function Be(et,We){var it=We-ve,Ft=n(it)<p?et*be:n(Ft=L+We/2)<p||n(n(Ft)-S)<p?0:et*it/u(b(Ft)/De);return[Ft,it]}return Be.invert=function(et,We){var it,Ft=We+ve;return[n(We)<p?et/be:n(it=L+Ft/2)<p||n(n(it)-S)<p?0:et*u(b(it)/De)/We,Ft]},Be}function xl(){return Vt(uc).parallel(40).scale(158.837)}function Gu(ve,be){return[ve,1.25*u(b(L+.4*be))]}Gu.invert=function(ve,be){return[ve,2.5*i(s(.8*be))-.625*E]};function qs(){return t.geoProjection(Gu).scale(108.318)}function ad(ve){var be=ve.length-1;function De(Be,et){for(var We=o(et),it=2/(1+We*o(Be)),Ft=it*We*_(Be),Ht=it*_(et),tr=be,dr=ve[tr],Sr=dr[0],Or=dr[1],Wr;--tr>=0;)dr=ve[tr],Sr=dr[0]+Ft*(Wr=Sr)-Ht*Or,Or=dr[1]+Ft*Or+Ht*Wr;return Sr=Ft*(Wr=Sr)-Ht*Or,Or=Ft*Or+Ht*Wr,[Sr,Or]}return De.invert=function(Be,et){var We=20,it=Be,Ft=et;do{for(var Ht=be,tr=ve[Ht],dr=tr[0],Sr=tr[1],Or=0,Wr=0,ni;--Ht>=0;)tr=ve[Ht],Or=dr+it*(ni=Or)-Ft*Wr,Wr=Sr+it*Wr+Ft*ni,dr=tr[0]+it*(ni=dr)-Ft*Sr,Sr=tr[1]+it*Sr+Ft*ni;Or=dr+it*(ni=Or)-Ft*Wr,Wr=Sr+it*Wr+Ft*ni,dr=it*(ni=dr)-Ft*Sr-Be,Sr=it*Sr+Ft*ni-et;var Pi=Or*Or+Wr*Wr,cn,ln;it-=cn=(dr*Or+Sr*Wr)/Pi,Ft-=ln=(Sr*Or-dr*Wr)/Pi}while(n(cn)+n(ln)>p*p&&--We>0);if(We){var Cn=G(it*it+Ft*Ft),Kn=2*i(Cn*.5),Ta=_(Kn);return[a(it*Ta,Cn*o(Kn)),Cn?O(Ft*Ta/Cn):0]}},De}var Po=[[.9972523,0],[.0052513,-.0041175],[.0074606,.0048125],[-.0153783,-.1968253],[.0636871,-.1408027],[.3660976,-.2937382]],od=[[.98879,0],[0,0],[-.050909,0],[0,0],[.075528,0]],Yo=[[.984299,0],[.0211642,.0037608],[-.1036018,-.0575102],[-.0329095,-.0320119],[.0499471,.1223335],[.026046,.0899805],[7388e-7,-.1435792],[.0075848,-.1334108],[-.0216473,.0776645],[-.0225161,.0853673]],Pa=[[.9245,0],[0,0],[.01943,0]],af=[[.721316,0],[0,0],[-.00881625,-.00617325]];function Hu(){return Bl(Po,[152,-64]).scale(1400).center([-160.908,62.4864]).clipAngle(30).angle(7.8)}function bl(){return Bl(od,[95,-38]).scale(1e3).clipAngle(55).center([-96.5563,38.8675])}function Gf(){return Bl(Yo,[120,-45]).scale(359.513).clipAngle(55).center([-117.474,53.0628])}function Ic(){return Bl(Pa,[-20,-18]).scale(209.091).center([20,16.7214]).clipAngle(82)}function yf(){return Bl(af,[165,10]).scale(250).clipAngle(130).center([-165,-10])}function Bl(ve,be){var De=t.geoProjection(ad(ve)).rotate(be).clipAngle(90),Be=t.geoRotation(be),et=De.center;return delete De.rotate,De.center=function(We){return arguments.length?et(Be(We)):Be.invert(et())},De}var wh=G(6),Qf=G(7);function _f(ve,be){var De=O(7*_(be)/(3*wh));return[wh*ve*(2*o(2*De/3)-1)/Qf,9*_(De/3)/Qf]}_f.invert=function(ve,be){var De=3*O(be*Qf/9);return[ve*Qf/(wh*(2*o(2*De/3)-1)),O(_(De)*3*wh/7)]};function Yc(){return t.geoProjection(_f).scale(164.859)}function eh(ve,be){for(var De=(1+x)*_(be),Be=be,et=0,We;et<25&&(Be-=We=(_(Be/2)+_(Be)-De)/(.5*o(Be/2)+o(Be)),!(n(We)<p));et++);return[ve*(1+2*o(Be)/o(Be/2))/(3*C),2*G(3)*_(Be/2)/G(2+C)]}eh.invert=function(ve,be){var De=be*G(2+C)/(2*G(3)),Be=2*O(De);return[3*C*ve/(1+2*o(Be)/o(Be/2)),O((De+_(Be))/(1+x))]};function th(){return t.geoProjection(eh).scale(188.209)}function ju(ve,be){for(var De=G(6/(4+E)),Be=(1+E/4)*_(be),et=be/2,We=0,it;We<25&&(et-=it=(et/2+_(et)-Be)/(.5+o(et)),!(n(it)<p));We++);return[De*(.5+o(et))*ve/1.5,De*et]}ju.invert=function(ve,be){var De=G(6/(4+E)),Be=be/De;return n(n(Be)-S)<p&&(Be=Be<0?-S:S),[1.5*ve/(De*(.5+o(Be))),O((Be/2+_(Be))/(1+E/4))]};function Hf(){return t.geoProjection(ju).scale(166.518)}function cc(ve,be){var De=be*be,Be=De*De,et=De*Be;return[ve*(.84719-.13063*De+et*et*(-.04515+.05494*De-.02326*Be+.00331*et)),be*(1.01183+Be*Be*(-.02625+.01926*De-.00396*Be))]}cc.invert=function(ve,be){var De=be,Be=25,et,We,it,Ft;do We=De*De,it=We*We,De-=et=(De*(1.01183+it*it*(-.02625+.01926*We-.00396*it))-be)/(1.01183+it*it*(9*-.02625+11*.01926*We+13*-.00396*it));while(n(et)>k&&--Be>0);return We=De*De,it=We*We,Ft=We*it,[ve/(.84719-.13063*We+Ft*Ft*(-.04515+.05494*We-.02326*it+.00331*Ft)),De]};function of(){return t.geoProjection(cc).scale(175.295)}function Nl(ve,be){return[ve*(1+o(be))/2,2*(be-b(be/2))]}Nl.invert=function(ve,be){for(var De=be/2,Be=0,et=1/0;Be<10&&n(et)>p;++Be){var We=o(be/2);be-=et=(be-b(be/2)-De)/(1-.5/(We*We))}return[2*ve/(1+o(be)),be]};function Kc(){return t.geoProjection(Nl).scale(152.63)}var Rc=[[[[-180,0],[-90,90],[0,0]],[[0,0],[90,90],[180,0]]],[[[-180,0],[-90,-90],[0,0]],[[0,0],[90,-90],[180,0]]]];function gs(){return Do(Ze(1/0),Rc).rotate([20,0]).scale(152.63)}function jf(ve,be){var De=_(be),Be=o(be),et=v(ve);if(ve===0||n(be)===S)return[0,be];if(be===0)return[ve,0];if(n(ve)===S)return[ve*Be,S*De];var We=E/(2*ve)-2*ve/E,it=2*be/E,Ft=(1-it*it)/(De-it),Ht=We*We,tr=Ft*Ft,dr=1+Ht/tr,Sr=1+tr/Ht,Or=(We*De/Ft-We/2)/dr,Wr=(tr*De/Ht+Ft/2)/Sr,ni=Or*Or+Be*Be/dr,Pi=Wr*Wr-(tr*De*De/Ht+Ft*De-1)/Sr;return[S*(Or+G(ni)*et),S*(Wr+G(Pi<0?0:Pi)*v(-be*We)*et)]}jf.invert=function(ve,be){ve/=S,be/=S;var De=ve*ve,Be=be*be,et=De+Be,We=E*E;return[ve?(et-1+G((1-et)*(1-et)+4*De))/(2*ve)*S:0,Zt(function(it){return et*(E*_(it)-2*it)*E+4*it*it*(be-_(it))+2*E*it-We*be},0)]};function Gh(){return t.geoProjection(jf).scale(127.267)}var rh=1.0148,sf=.23185,Th=-.14499,Mu=.02406,ih=rh,js=5*sf,Eu=7*Th,Dc=9*Mu,ks=1.790857183;function bc(ve,be){var De=be*be;return[ve,be*(rh+De*De*(sf+De*(Th+Mu*De)))]}bc.invert=function(ve,be){be>ks?be=ks:be<-ks&&(be=-ks);var De=be,Be;do{var et=De*De;De-=Be=(De*(rh+et*et*(sf+et*(Th+Mu*et)))-be)/(ih+et*et*(js+et*(Eu+Dc*et)))}while(n(Be)>p);return[ve,De]};function hu(){return t.geoProjection(bc).scale(139.319)}function _u(ve,be){if(n(be)<p)return[ve,0];var De=b(be),Be=ve*_(be);return[_(Be)/De,be+(1-o(Be))/De]}_u.invert=function(ve,be){if(n(be)<p)return[ve,0];var De=ve*ve+be*be,Be=be*.5,et=10,We;do{var it=b(Be),Ft=1/o(Be),Ht=De-2*be*Be+Be*Be;Be-=We=(it*Ht+2*(Be-be))/(2+Ht*Ft*Ft+2*(Be-be)*it)}while(n(We)>p&&--et>0);return it=b(Be),[(n(be)<n(Be+1/it)?O(ve*it):v(be)*v(ve)*(V(n(ve*it))+S))/_(Be),Be]};function nl(){return t.geoProjection(_u).scale(103.74)}function nh(ve,be){var De=Fc(ve[1],ve[0]),Be=Fc(be[1],be[0]),et=bd(De,Be),We=wc(De)/wc(Be);return zu([1,0,ve[0][0],0,1,ve[0][1]],zu([We,0,0,0,We,0],zu([o(et),_(et),0,-_(et),o(et),0],[1,0,-be[0][0],0,1,-be[0][1]])))}function Ah(ve){var be=1/(ve[0]*ve[4]-ve[1]*ve[3]);return[be*ve[4],-be*ve[1],be*(ve[1]*ve[5]-ve[2]*ve[4]),-be*ve[3],be*ve[0],be*(ve[2]*ve[3]-ve[0]*ve[5])]}function zu(ve,be){return[ve[0]*be[0]+ve[1]*be[3],ve[0]*be[1]+ve[1]*be[4],ve[0]*be[2]+ve[1]*be[5]+ve[2],ve[3]*be[0]+ve[4]*be[3],ve[3]*be[1]+ve[4]*be[4],ve[3]*be[2]+ve[4]*be[5]+ve[5]]}function Fc(ve,be){return[ve[0]-be[0],ve[1]-be[1]]}function wc(ve){return G(ve[0]*ve[0]+ve[1]*ve[1])}function bd(ve,be){return a(ve[0]*be[1]-ve[1]*be[0],ve[0]*be[0]+ve[1]*be[1])}function xf(ve,be,De){Be(ve,{transform:null});function Be(tr,dr){if(tr.edges=jl(tr.face),dr.face){var Sr=tr.shared=bf(tr.face,dr.face),Or=nh(Sr.map(dr.project),Sr.map(tr.project));tr.transform=dr.transform?zu(dr.transform,Or):Or;for(var Wr=dr.edges,ni=0,Pi=Wr.length;ni<Pi;++ni)Ou(Sr[0],Wr[ni][1])&&Ou(Sr[1],Wr[ni][0])&&(Wr[ni]=tr),Ou(Sr[0],Wr[ni][0])&&Ou(Sr[1],Wr[ni][1])&&(Wr[ni]=tr);for(Wr=tr.edges,ni=0,Pi=Wr.length;ni<Pi;++ni)Ou(Sr[0],Wr[ni][0])&&Ou(Sr[1],Wr[ni][1])&&(Wr[ni]=dr),Ou(Sr[0],Wr[ni][1])&&Ou(Sr[1],Wr[ni][0])&&(Wr[ni]=dr)}else tr.transform=dr.transform;return tr.children&&tr.children.forEach(function(cn){Be(cn,tr)}),tr}function et(tr,dr){var Sr=be(tr,dr),Or=Sr.project([tr*P,dr*P]),Wr;return(Wr=Sr.transform)?[Wr[0]*Or[0]+Wr[1]*Or[1]+Wr[2],-(Wr[3]*Or[0]+Wr[4]*Or[1]+Wr[5])]:(Or[1]=-Or[1],Or)}lf(ve)&&(et.invert=function(tr,dr){var Sr=We(ve,[tr,-dr]);return Sr&&(Sr[0]*=T,Sr[1]*=T,Sr)});function We(tr,dr){var Sr=tr.project.invert,Or=tr.transform,Wr=dr;if(Or&&(Or=Ah(Or),Wr=[Or[0]*Wr[0]+Or[1]*Wr[1]+Or[2],Or[3]*Wr[0]+Or[4]*Wr[1]+Or[5]]),Sr&&tr===it(ni=Sr(Wr)))return ni;for(var ni,Pi=tr.children,cn=0,ln=Pi&&Pi.length;cn<ln;++cn)if(ni=We(Pi[cn],dr))return ni}function it(tr){return be(tr[0]*T,tr[1]*T)}var Ft=t.geoProjection(et),Ht=Ft.stream;return Ft.stream=function(tr){var dr=Ft.rotate(),Sr=Ht(tr),Or=(Ft.rotate([0,0]),Ht(tr));return Ft.rotate(dr),Sr.sphere=function(){Or.polygonStart(),Or.lineStart(),Pf(Or,ve),Or.lineEnd(),Or.polygonEnd()},Sr},Ft.angle(De==null?-30:De*P)}function Pf(ve,be,De){var Be,et=be.edges,We=et.length,it,Ft={type:\"MultiPoint\",coordinates:be.face},Ht=be.face.filter(function(Pi){return n(Pi[1])!==90}),tr=t.geoBounds({type:\"MultiPoint\",coordinates:Ht}),dr=!1,Sr=-1,Or=tr[1][0]-tr[0][0],Wr=Or===180||Or===360?[(tr[0][0]+tr[1][0])/2,(tr[0][1]+tr[1][1])/2]:t.geoCentroid(Ft);if(De)for(;++Sr<We&&et[Sr]!==De;);++Sr;for(var ni=0;ni<We;++ni)it=et[(ni+Sr)%We],Array.isArray(it)?(dr||(ve.point((Be=t.geoInterpolate(it[0],Wr)(p))[0],Be[1]),dr=!0),ve.point((Be=t.geoInterpolate(it[1],Wr)(p))[0],Be[1])):(dr=!1,it!==De&&Pf(ve,it,be))}function Ou(ve,be){return ve&&be&&ve[0]===be[0]&&ve[1]===be[1]}function bf(ve,be){for(var De,Be,et=ve.length,We=null,it=0;it<et;++it){De=ve[it];for(var Ft=be.length;--Ft>=0;)if(Be=be[Ft],De[0]===Be[0]&&De[1]===Be[1]){if(We)return[We,De];We=De}}}function jl(ve){for(var be=ve.length,De=[],Be=ve[be-1],et=0;et<be;++et)De.push([Be,Be=ve[et]]);return De}function lf(ve){return ve.project.invert||ve.children&&ve.children.some(lf)}var Hh=[[0,90],[-90,0],[0,0],[90,0],[180,0],[0,-90]],If=[[0,2,1],[0,3,2],[5,1,2],[5,2,3],[0,1,4],[0,4,3],[5,4,1],[5,3,4]].map(function(ve){return ve.map(function(be){return Hh[be]})});function Cs(ve){ve=ve||function(De){var Be=t.geoCentroid({type:\"MultiPoint\",coordinates:De});return t.geoGnomonic().scale(1).translate([0,0]).rotate([-Be[0],-Be[1]])};var be=If.map(function(De){return{face:De,project:ve(De)}});return[-1,0,0,1,0,1,4,5].forEach(function(De,Be){var et=be[De];et&&(et.children||(et.children=[])).push(be[Be])}),xf(be[0],function(De,Be){return 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Ft=it.map(Rf),Ht=Ft.length,tr=Ft[Ht-1],dr,Sr=[],Or=0;Or<Ht;++Or)dr=Ft[Or],Sr.push(Wu([tr[0]*.9486832980505138+dr[0]*.31622776601683794,tr[1]*.9486832980505138+dr[1]*.31622776601683794,tr[2]*.9486832980505138+dr[2]*.31622776601683794]),Wu([dr[0]*.9486832980505138+tr[0]*.31622776601683794,dr[1]*.9486832980505138+tr[1]*.31622776601683794,dr[2]*.9486832980505138+tr[2]*.31622776601683794])),tr=dr;return Sr}),De=[],Be=[-1,0,0,1,0,1,4,5];be.forEach(function(it,Ft){for(var Ht=If[Ft],tr=Ht.length,dr=De[Ft]=[],Sr=0;Sr<tr;++Sr)be.push([Ht[Sr],it[(Sr*2+2)%(2*tr)],it[(Sr*2+1)%(2*tr)]]),Be.push(Ft),dr.push(zc(Rf(it[(Sr*2+2)%(2*tr)]),Rf(it[(Sr*2+1)%(2*tr)])))});var et=be.map(function(it){return{project:ve(it),face:it}});Be.forEach(function(it,Ft){var Ht=et[it];Ht&&(Ht.children||(Ht.children=[])).push(et[Ft])});function We(it,Ft){var Ht=o(Ft),tr=[Ht*o(it),Ht*_(it),_(Ft)],dr=it<-E/2?Ft<0?6:4:it<0?Ft<0?2:0:it<E/2?Ft<0?3:1:Ft<0?7:5,Sr=De[dr];return 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ve=wl.length?wl.length<2?{type:\"Point\",coordinates:wl[0]}:{type:\"MultiPoint\",coordinates:wl}:null;return wl=[],ve}},cf={lineStart:Xu,point:function(ve,be){wl.push([ve,be])},lineEnd:function(){wl.length&&(vu.push(wl),wl=[])},result:function(){var ve=vu.length?vu.length<2?{type:\"LineString\",coordinates:vu[0]}:{type:\"MultiLineString\",coordinates:vu}:null;return vu=[],ve}},fc={polygonStart:Xu,lineStart:Xu,point:function(ve,be){wl.push([ve,be])},lineEnd:function(){var ve=wl.length;if(ve){do wl.push(wl[0].slice());while(++ve<4);vu.push(wl),wl=[]}},polygonEnd:Xu,result:function(){if(!vu.length)return null;var ve=[],be=[];return vu.forEach(function(De){uf(De)?ve.push([De]):be.push(De)}),be.forEach(function(De){var Be=De[0];ve.some(function(et){if(Xf(et[0],Be))return et.push(De),!0})||ve.push([De])}),vu=[],ve.length?ve.length>1?{type:\"MultiPolygon\",coordinates:ve}:{type:\"Polygon\",coordinates:ve[0]}:null}};function Bc(ve){var be=ve(S,0)[0]-ve(-S,0)[0];function De(Be,et){var We=n(Be)<S,it=ve(We?Be:Be>0?Be-E:Be+E,et),Ft=(it[0]-it[1])*x,Ht=(it[0]+it[1])*x;if(We)return[Ft,Ht];var tr=be*x,dr=Ft>0^Ht>0?-1:1;return[dr*Ft-v(Ht)*tr,dr*Ht-v(Ft)*tr]}return ve.invert&&(De.invert=function(Be,et){var We=(Be+et)*x,it=(et-Be)*x,Ft=n(We)<.5*be&&n(it)<.5*be;if(!Ft){var Ht=be*x,tr=We>0^it>0?-1:1,dr=-tr*Be+(it>0?1:-1)*Ht,Sr=-tr*et+(We>0?1:-1)*Ht;We=(-dr-Sr)*x,it=(dr-Sr)*x}var Or=ve.invert(We,it);return Ft||(Or[0]+=We>0?E:-E),Or}),t.geoProjection(De).rotate([-90,-90,45]).clipAngle(180-.001)}function At(){return Bc(Li).scale(176.423)}function Wt(){return Bc(Lo).scale(111.48)}function Cr(ve,be){if(!(0<=(be=+be)&&be<=20))throw new Error(\"invalid digits\");function De(tr){var dr=tr.length,Sr=2,Or=new Array(dr);for(Or[0]=+tr[0].toFixed(be),Or[1]=+tr[1].toFixed(be);Sr<dr;)Or[Sr]=tr[Sr],++Sr;return Or}function Be(tr){return tr.map(De)}function et(tr){for(var dr=De(tr[0]),Sr=[dr],Or=1;Or<tr.length;Or++){var 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tr.id!=null&&(dr.id=tr.id),tr.bbox!=null&&(dr.bbox=tr.bbox),dr}if(ve!=null)switch(ve.type){case\"Feature\":return Ft(ve);case\"FeatureCollection\":{var Ht={type:\"FeatureCollection\",features:ve.features.map(Ft)};return ve.bbox!=null&&(Ht.bbox=ve.bbox),Ht}default:return it(ve)}return ve}function Ar(ve){var be=_(ve);function De(Be,et){var We=be?b(Be*be/2)/be:Be/2;if(!et)return[2*We,-ve];var it=2*i(We*_(et)),Ft=1/b(et);return[_(it)*Ft,et+(1-o(it))*Ft-ve]}return De.invert=function(Be,et){if(n(et+=ve)<p)return[be?2*i(be*Be/2)/be:Be,0];var We=Be*Be+et*et,it=0,Ft=10,Ht;do{var tr=b(it),dr=1/o(it),Sr=We-2*et*it+it*it;it-=Ht=(tr*Sr+2*(it-et))/(2+Sr*dr*dr+2*(it-et)*tr)}while(n(Ht)>p&&--Ft>0);var Or=Be*(tr=b(it)),Wr=b(n(et)<n(it+1/tr)?O(Or)*.5:V(Or)*.5+E/4)/_(it);return[be?2*i(be*Wr)/be:2*Wr,it]},De}function Kr(){return Vt(Ar).scale(131.215)}var 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tr=Ht*Ht,dr=o(G(tr+(Or=Ft+be)*Or)),Sr=o(G(tr+(Or=Ft+De)*Or)),Or,Wr;return[a(Wr=dr-Sr,Or=(dr+Sr)*et),(Ht<0?-1:1)*V(G(Or*Or+Wr*Wr)*We)]},it}function Nc(){return pu([-158,21.5],[-77,39]).clipAngle(130).scale(122.571)}function pu(ve,be){return ys(Yu,ve,be)}function Uc(ve,be){if(n(be)<p)return[ve,0];var De=n(be/S),Be=O(De);if(n(ve)<p||n(n(be)-S)<p)return[0,v(be)*E*b(Be/2)];var et=o(Be),We=n(E/ve-ve/E)/2,it=We*We,Ft=et/(De+et-1),Ht=Ft*(2/De-1),tr=Ht*Ht,dr=tr+it,Sr=Ft-tr,Or=it+Ft;return[v(ve)*E*(We*Sr+G(it*Sr*Sr-dr*(Ft*Ft-tr)))/dr,v(be)*E*(Ht*Or-We*G((it+1)*dr-Or*Or))/dr]}Uc.invert=function(ve,be){if(n(be)<p)return[ve,0];if(n(ve)<p)return[0,S*_(2*i(be/E))];var De=(ve/=E)*ve,Be=(be/=E)*be,et=De+Be,We=et*et,it=-n(be)*(1+et),Ft=it-2*Be+De,Ht=-2*it+1+2*Be+We,tr=Be/Ht+(2*Ft*Ft*Ft/(Ht*Ht*Ht)-9*it*Ft/(Ht*Ht))/27,dr=(it-Ft*Ft/(3*Ht))/Ht,Sr=2*G(-dr/3),Or=V(3*tr/(dr*Sr))/3;return[E*(et-1+G(1+2*(De-Be)+We))/(2*ve),v(be)*E*(-Sr*o(Or+E/3)-Ft/(3*Ht))]};function xu(){return t.geoProjection(Uc).scale(79.4183)}function Ac(ve,be){if(n(be)<p)return[ve,0];var De=n(be/S),Be=O(De);if(n(ve)<p||n(n(be)-S)<p)return[0,v(be)*E*b(Be/2)];var et=o(Be),We=n(E/ve-ve/E)/2,it=We*We,Ft=et*(G(1+it)-We*et)/(1+it*De*De);return[v(ve)*E*Ft,v(be)*E*G(1-Ft*(2*We+Ft))]}Ac.invert=function(ve,be){if(!ve)return[0,S*_(2*i(be/E))];var De=n(ve/E),Be=(1-De*De-(be/=E)*be)/(2*De),et=Be*Be,We=G(et+1);return[v(ve)*E*(We-Be),v(be)*S*_(2*a(G((1-2*Be*De)*(Be+We)-De),G(We+Be+De)))]};function Ua(){return t.geoProjection(Ac).scale(79.4183)}function oo(ve,be){if(n(be)<p)return[ve,0];var De=be/S,Be=O(De);if(n(ve)<p||n(n(be)-S)<p)return[0,E*b(Be/2)];var et=(E/ve-ve/E)/2,We=De/(1+o(Be));return[E*(v(ve)*G(et*et+1-We*We)-et),E*We]}oo.invert=function(ve,be){if(!be)return[ve,0];var De=be/E,Be=(E*E*(1-De*De)-ve*ve)/(2*E*ve);return[ve?E*(v(ve)*G(Be*Be+1)-Be):0,S*_(2*i(De))]};function Vc(){return t.geoProjection(oo).scale(79.4183)}function hc(ve,be){if(!be)return[ve,0];var De=n(be);if(!ve||De===S)return[0,be];var Be=De/S,et=Be*Be,We=(8*Be-et*(et+2)-5)/(2*et*(Be-1)),it=We*We,Ft=Be*We,Ht=et+it+2*Ft,tr=Be+3*We,dr=ve/S,Sr=dr+1/dr,Or=v(n(ve)-S)*G(Sr*Sr-4),Wr=Or*Or,ni=Ht*(et+it*Wr-1)+(1-et)*(et*(tr*tr+4*it)+12*Ft*it+4*it*it),Pi=(Or*(Ht+it-1)+2*G(ni))/(4*Ht+Wr);return[v(ve)*S*Pi,v(be)*S*G(1+Or*n(Pi)-Pi*Pi)]}hc.invert=function(ve,be){var De;if(!ve||!be)return[ve,be];be/=E;var Be=v(ve)*ve/S,et=(Be*Be-1+4*be*be)/n(Be),We=et*et,it=2*be,Ft=50;do{var Ht=it*it,tr=(8*it-Ht*(Ht+2)-5)/(2*Ht*(it-1)),dr=(3*it-Ht*it-10)/(2*Ht*it),Sr=tr*tr,Or=it*tr,Wr=it+tr,ni=Wr*Wr,Pi=it+3*tr,cn=ni*(Ht+Sr*We-1)+(1-Ht)*(Ht*(Pi*Pi+4*Sr)+Sr*(12*Or+4*Sr)),ln=-2*Wr*(4*Or*Sr+(1-4*Ht+3*Ht*Ht)*(1+dr)+Sr*(-6+14*Ht-We+(-8+8*Ht-2*We)*dr)+Or*(-8+12*Ht+(-10+10*Ht-We)*dr)),Cn=G(cn),Kn=et*(ni+Sr-1)+2*Cn-Be*(4*ni+We),Ta=et*(2*tr*dr+2*Wr*(1+dr))+ln/Cn-8*Wr*(et*(-1+Sr+ni)+2*Cn)*(1+dr)/(We+4*ni);it-=De=Kn/Ta}while(De>p&&--Ft>0);return[v(ve)*(G(et*et+4)+et)*E/4,S*it]};function Ku(){return t.geoProjection(hc).scale(127.16)}function ue(ve,be,De,Be,et){function We(it,Ft){var Ht=De*_(Be*Ft),tr=G(1-Ht*Ht),dr=G(2/(1+tr*o(it*=et)));return[ve*tr*dr*_(it),be*Ht*dr]}return We.invert=function(it,Ft){var Ht=it/ve,tr=Ft/be,dr=G(Ht*Ht+tr*tr),Sr=2*O(dr/2);return[a(it*b(Sr),ve*dr)/et,dr&&O(Ft*_(Sr)/(be*De*dr))/Be]},We}function w(ve,be,De,Be){var et=E/3;ve=c(ve,p),be=c(be,p),ve=f(ve,S),be=f(be,E-p),De=c(De,0),De=f(De,100-p),Be=c(Be,p);var We=De/100+1,it=Be/100,Ft=V(We*o(et))/et,Ht=_(ve)/_(Ft*S),tr=be/E,dr=G(it*_(ve/2)/_(be/2)),Sr=dr/G(tr*Ht*Ft),Or=1/(dr*G(tr*Ht*Ft));return ue(Sr,Or,Ht,Ft,tr)}function B(){var ve=65*T,be=60*T,De=20,Be=200,et=t.geoProjectionMutator(w),We=et(ve,be,De,Be);return We.poleline=function(it){return arguments.length?et(ve=+it*T,be,De,Be):ve*P},We.parallels=function(it){return arguments.length?et(ve,be=+it*T,De,Be):be*P},We.inflation=function(it){return arguments.length?et(ve,be,De=+it,Be):De},We.ratio=function(it){return 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t=.5*e[0]*$A,r=.5*e[1]*$A,n=.5*e[2]*$A,i=Math.sin(t),a=Math.cos(t),o=Math.sin(r),s=Math.cos(r),l=Math.sin(n),u=Math.cos(n);return[a*s*u+i*o*l,i*s*u-a*o*l,a*o*u+i*s*l,a*s*l-i*o*u]}function Izt(e,t){var r=e[0],n=e[1],i=e[2],a=e[3],o=t[0],s=t[1],l=t[2],u=t[3];return[r*o-n*s-i*l-a*u,r*s+n*o+i*u-a*l,r*l-n*u+i*o+a*s,r*u+n*l-i*s+a*o]}function Rzt(e,t){if(!(!e||!t)){var r=Ozt(e,t),n=Math.sqrt(DDe(r,r)),i=.5*Math.acos(Math.max(-1,Math.min(1,DDe(e,t)))),a=Math.sin(i)/n;return n&&[Math.cos(i),r[2]*a,-r[1]*a,r[0]*a]}}function Dzt(e,t,r){var n=FZ(t,2,e[0]);n=FZ(n,1,e[1]),n=FZ(n,0,e[2]-r[2]);var i=t[0],a=t[1],o=t[2],s=n[0],l=n[1],u=n[2],c=Math.atan2(a,i)*W2,f=Math.sqrt(i*i+a*a),h,d;Math.abs(l)>f?(d=(l>0?90:-90)-c,h=0):(d=Math.asin(l/f)*W2-c,h=Math.sqrt(f*f-l*l));var v=180-d-2*c,_=(Math.atan2(u,s)-Math.atan2(o,h))*W2,b=(Math.atan2(u,s)-Math.atan2(o,-h))*W2,p=IDe(r[0],r[1],d,_),k=IDe(r[0],r[1],v,b);return p<=k?[d,_,r[2]]:[v,b,r[2]]}function IDe(e,t,r,n){var i=RDe(r-e),a=RDe(n-t);return 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t1=Oa(),VZ=RZ(),Bzt=VZ.geoPath,Nzt=VZ.geoDistance,Uzt=PDe(),Vzt=qa(),ok=Dr(),Gzt=ok.strTranslate,RF=ka(),ak=So(),ODe=vf(),Hzt=Mc(),UZ=ho(),qDe=Ag().getAutoRange,NZ=yv(),jzt=Of().prepSelect,Wzt=Of().clearOutline,Xzt=Of().selectOnClick,Zzt=zDe(),fp=tk(),Yzt=ix(),NDe=mF(),Kzt=yZ().feature;function UDe(e){this.id=e.id,this.graphDiv=e.graphDiv,this.container=e.container,this.topojsonURL=e.topojsonURL,this.isStatic=e.staticPlot,this.topojsonName=null,this.topojson=null,this.projection=null,this.scope=null,this.viewInitial=null,this.fitScale=null,this.bounds=null,this.midPt=null,this.hasChoropleth=!1,this.traceHash={},this.layers={},this.basePaths={},this.dataPaths={},this.dataPoints={},this.clipDef=null,this.clipRect=null,this.bgRect=null,this.makeFramework()}var Qg=UDe.prototype;VDe.exports=function(t){return new UDe(t)};Qg.plot=function(e,t,r,n){var i=this;if(n)return i.update(e,t,!0);i._geoCalcData=e,i._fullLayout=t;var a=t[this.id],o=[],s=!1;for(var l in fp.layerNameToAdjective)if(l!==\"frame\"&&a[\"show\"+l]){s=!0;break}for(var u=!1,c=0;c<e.length;c++){var f=e[0][0].trace;f._geo=i,f.locationmode&&(s=!0);var h=f.marker;if(h){var d=h.angle,v=h.angleref;(d||v===\"north\"||v===\"previous\")&&(u=!0)}}if(this._hasMarkerAngles=u,s){var _=NDe.getTopojsonName(a);(i.topojson===null||_!==i.topojsonName)&&(i.topojsonName=_,PlotlyGeoAssets.topojson[i.topojsonName]===void 0&&o.push(i.fetchTopojson()))}o=o.concat(Yzt.fetchTraceGeoData(e)),r.push(new Promise(function(b,p){Promise.all(o).then(function(){i.topojson=PlotlyGeoAssets.topojson[i.topojsonName],i.update(e,t),b()}).catch(p)}))};Qg.fetchTopojson=function(){var e=this,t=NDe.getTopojsonPath(e.topojsonURL,e.topojsonName);return new Promise(function(r,n){t1.json(t,function(i,a){if(i)return i.status===404?n(new Error([\"plotly.js could not find topojson file at\",t+\".\",\"Make sure the *topojsonURL* plot config option\",\"is set properly.\"].join(\" \"))):n(new Error([\"unexpected error while 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r=this.graphDiv,n=t[this.id],i=t._size,a=n.domain,o=n.projection,s=n.lonaxis,l=n.lataxis,u=s._ax,c=l._ax,f=this.projection=Jzt(n),h=[[i.l+i.w*a.x[0],i.t+i.h*(1-a.y[1])],[i.l+i.w*a.x[1],i.t+i.h*(1-a.y[0])]],d=n.center||{},v=o.rotation||{},_=s.range||[],b=l.range||[];if(n.fitbounds){u._length=h[1][0]-h[0][0],c._length=h[1][1]-h[0][1],u.range=qDe(r,u),c.range=qDe(r,c);var p=(u.range[0]+u.range[1])/2,k=(c.range[0]+c.range[1])/2;if(n._isScoped)d={lon:p,lat:k};else if(n._isClipped){d={lon:p,lat:k},v={lon:p,lat:k,roll:v.roll};var E=o.type,S=fp.lonaxisSpan[E]/2||180,L=fp.lataxisSpan[E]/2||90;_=[p-S,p+S],b=[k-L,k+L]}else d={lon:p,lat:k},v={lon:p,lat:v.lat,roll:v.roll}}f.center([d.lon-v.lon,d.lat-v.lat]).rotate([-v.lon,-v.lat,v.roll]).parallels(o.parallels);var x=BDe(_,b);f.fitExtent(h,x);var C=this.bounds=f.getBounds(x),M=this.fitScale=f.scale(),g=f.translate();if(n.fitbounds){var P=f.getBounds(BDe(u.range,c.range)),T=Math.min((C[1][0]-C[0][0])/(P[1][0]-P[0][0]),(C[1][1]-C[0][1])/(P[1][1]-P[0][1]));isFinite(T)?f.scale(T*M):ok.warn(\"Something went wrong during\"+this.id+\"fitbounds computations.\")}else f.scale(o.scale*M);var z=this.midPt=[(C[0][0]+C[1][0])/2,(C[0][1]+C[1][1])/2];if(f.translate([g[0]+(z[0]-g[0]),g[1]+(z[1]-g[1])]).clipExtent(C),n._isAlbersUsa){var O=f([d.lon,d.lat]),V=f.translate();f.translate([V[0]-(O[0]-V[0]),V[1]-(O[1]-V[1])])}};Qg.updateBaseLayers=function(e,t){var r=this,n=r.topojson,i=r.layers,a=r.basePaths;function o(h){return h===\"lonaxis\"||h===\"lataxis\"}function s(h){return!!fp.lineLayers[h]}function l(h){return!!fp.fillLayers[h]}var u=this.hasChoropleth?fp.layersForChoropleth:fp.layers,c=u.filter(function(h){return s(h)||l(h)?t[\"show\"+h]:o(h)?t[h].showgrid:!0}),f=r.framework.selectAll(\".layer\").data(c,String);f.exit().each(function(h){delete i[h],delete 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r=this.bounds,n=(t.framewidth||0)/2,i=r[0][0]-n,a=r[0][1]-n,o=r[1][0]-i+n,s=r[1][1]-a+n;ak.setRect(this.clipRect,i,a,o,s),this.bgRect.call(ak.setRect,i,a,o,s).call(RF.fill,t.bgcolor),this.xaxis._offset=i,this.xaxis._length=o,this.yaxis._offset=a,this.yaxis._length=s};Qg.updateFx=function(e,t){var r=this,n=r.graphDiv,i=r.bgRect,a=e.dragmode,o=e.clickmode;if(r.isStatic)return;function s(){var f=r.viewInitial,h={};for(var d in f)h[r.id+\".\"+d]=f[d];Vzt.call(\"_guiRelayout\",n,h),n.emit(\"plotly_doubleclick\",null)}function l(f){return r.projection.invert([f[0]+r.xaxis._offset,f[1]+r.yaxis._offset])}var u=function(f,h){if(h.isRect){var d=f.range={};d[r.id]=[l([h.xmin,h.ymin]),l([h.xmax,h.ymax])]}else{var 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e=this,t=e.graphDiv,r=t._fullLayout,n=\"clip\"+r._uid+e.id;e.clipDef=r._clips.append(\"clipPath\").attr(\"id\",n),e.clipRect=e.clipDef.append(\"rect\"),e.framework=t1.select(e.container).append(\"g\").attr(\"class\",\"geo \"+e.id).call(ak.setClipUrl,n,t),e.project=function(i){var a=e.projection(i);return a?[a[0]-e.xaxis._offset,a[1]-e.yaxis._offset]:[null,null]},e.xaxis={_id:\"x\",c2p:function(i){return e.project(i)[0]}},e.yaxis={_id:\"y\",c2p:function(i){return e.project(i)[1]}},e.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},UZ.setConvert(e.mockAxis,r)};Qg.saveViewInitial=function(e){var t=e.center||{},r=e.projection,n=r.rotation||{};this.viewInitial={fitbounds:e.fitbounds,\"projection.scale\":r.scale};var i;e._isScoped?i={\"center.lon\":t.lon,\"center.lat\":t.lat}:e._isClipped?i={\"projection.rotation.lon\":n.lon,\"projection.rotation.lat\":n.lat}:i={\"center.lon\":t.lon,\"center.lat\":t.lat,\"projection.rotation.lon\":n.lon},ok.extendFlat(this.viewInitial,i)};Qg.render=function(e){this._hasMarkerAngles&&e?this.plot(this._geoCalcData,this._fullLayout,[],!0):this._render()};Qg._render=function(){var e=this.projection,t=e.getPath(),r;function n(a){var o=e(a.lonlat);return o?Gzt(o[0],o[1]):null}function i(a){return e.isLonLatOverEdges(a.lonlat)?\"none\":null}for(r in this.basePaths)this.basePaths[r].attr(\"d\",t);for(r in this.dataPaths)this.dataPaths[r].attr(\"d\",function(a){return t(a.geojson)});for(r in this.dataPoints)this.dataPoints[r].attr(\"display\",i).attr(\"transform\",n)};function Jzt(e){var t=e.projection,r=t.type,n=fp.projNames[r];n=\"geo\"+ok.titleCase(n);for(var i=VZ[n]||Uzt[n],a=i(),o=e._isSatellite?Math.acos(1/t.distance)*180/Math.PI:e._isClipped?fp.lonaxisSpan[r]/2:null,s=[\"center\",\"rotate\",\"parallels\",\"clipExtent\"],l=function(f){return f?a:[]},u=0;u<s.length;u++){var c=s[u];typeof a[c]!=\"function\"&&(a[c]=l)}return a.isLonLatOverEdges=function(f){if(a(f)===null)return!0;if(o){var h=a.rotate(),d=Nzt(f,[-h[0],-h[1]]),v=o*Math.PI/180;return d>v}else return!1},a.getPath=function(){return Bzt().projection(a)},a.getBounds=function(f){return a.getPath().bounds(f)},a.precision(fp.precision),e._isSatellite&&a.tilt(t.tilt).distance(t.distance),o&&a.clipAngle(o-fp.clipPad),a}function $zt(e,t,r){var n=1e-6,i=2.5,a=t[e],o=fp.scopeDefaults[t.scope],s,l,u;e===\"lonaxis\"?(s=o.lonaxisRange,l=o.lataxisRange,u=function(k,E){return[k,E]}):e===\"lataxis\"&&(s=o.lataxisRange,l=o.lonaxisRange,u=function(k,E){return[E,k]});var c={type:\"linear\",range:[s[0],s[1]-n],tick0:a.tick0,dtick:a.dtick};UZ.setConvert(c,r);var 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e5=Lh(),Qzt=Cc().attributes,e7t=Pd().dash,QA=tk(),t7t=mc().overrideAll,HDe=Z1(),jDe={range:{valType:\"info_array\",items:[{valType:\"number\"},{valType:\"number\"}]},showgrid:{valType:\"boolean\",dflt:!1},tick0:{valType:\"number\",dflt:0},dtick:{valType:\"number\"},gridcolor:{valType:\"color\",dflt:e5.lightLine},gridwidth:{valType:\"number\",min:0,dflt:1},griddash:e7t},r7t=WDe.exports=t7t({domain:Qzt({name:\"geo\"},{}),fitbounds:{valType:\"enumerated\",values:[!1,\"locations\",\"geojson\"],dflt:!1,editType:\"plot\"},resolution:{valType:\"enumerated\",values:[110,50],dflt:110,coerceNumber:!0},scope:{valType:\"enumerated\",values:HDe(QA.scopeDefaults),dflt:\"world\"},projection:{type:{valType:\"enumerated\",values:HDe(QA.projNames)},rotation:{lon:{valType:\"number\"},lat:{valType:\"number\"},roll:{valType:\"number\"}},tilt:{valType:\"number\",dflt:0},distance:{valType:\"number\",min:1.001,dflt:2},parallels:{valType:\"info_array\",items:[{valType:\"number\"},{valType:\"number\"}]},scale:{valType:\"number\",min:0,dflt:1}},center:{lon:{valType:\"number\"},lat:{valType:\"number\"}},visible:{valType:\"boolean\",dflt:!0},showcoastlines:{valType:\"boolean\"},coastlinecolor:{valType:\"color\",dflt:e5.defaultLine},coastlinewidth:{valType:\"number\",min:0,dflt:1},showland:{valType:\"boolean\",dflt:!1},landcolor:{valType:\"color\",dflt:QA.landColor},showocean:{valType:\"boolean\",dflt:!1},oceancolor:{valType:\"color\",dflt:QA.waterColor},showlakes:{valType:\"boolean\",dflt:!1},lakecolor:{valType:\"color\",dflt:QA.waterColor},showrivers:{valType:\"boolean\",dflt:!1},rivercolor:{valType:\"color\",dflt:QA.waterColor},riverwidth:{valType:\"number\",min:0,dflt:1},showcountries:{valType:\"boolean\"},countrycolor:{valType:\"color\",dflt:e5.defaultLine},countrywidth:{valType:\"number\",min:0,dflt:1},showsubunits:{valType:\"boolean\"},subunitcolor:{valType:\"color\",dflt:e5.defaultLine},subunitwidth:{valType:\"number\",min:0,dflt:1},showframe:{valType:\"boolean\"},framecolor:{valType:\"color\",dflt:e5.defaultLine},framewidth:{valType:\"number\",min:0,dflt:1},bgcolor:{valType:\"color\",dflt:e5.background},lonaxis:jDe,lataxis:jDe},\"plot\",\"from-root\");r7t.uirevision={valType:\"any\",editType:\"none\"}});var 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H=l.projParallels||[0,60];r(\"projection.parallels\",H)}r(\"projection.scale\"),p=r(\"showland\",b?void 0:!1),p&&r(\"landcolor\"),p=r(\"showlakes\",b?void 0:!1),p&&r(\"lakecolor\"),p=r(\"showrivers\",b?void 0:!1),p&&(r(\"rivercolor\"),r(\"riverwidth\")),p=r(\"showcountries\",f&&s!==\"usa\"&&b),p&&(r(\"countrycolor\"),r(\"countrywidth\")),(s===\"usa\"||s===\"north america\"&&o===50)&&(r(\"showsubunits\",b),r(\"subunitcolor\"),r(\"subunitwidth\")),f||(p=r(\"showframe\",b),p&&(r(\"framecolor\"),r(\"framewidth\"))),r(\"bgcolor\");var te=r(\"fitbounds\");te&&(delete t.projection.scale,f?(delete t.center.lon,delete t.center.lat):v?(delete t.center.lon,delete t.center.lat,delete t.projection.rotation.lon,delete t.projection.rotation.lat,delete t.lonaxis.range,delete t.lataxis.range):(delete t.center.lon,delete t.center.lat,delete t.projection.rotation.lon))}});var HZ=ye((Amr,$De)=>{\"use strict\";var 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sFe=ye((kmr,oFe)=>{\"use strict\";var sk=Dr(),m7t=Qh(),y7t=t5(),_7t=[\"The library used by the *country names* `locationmode` option is changing in the next major version.\",\"Some country names in existing plots may not work in the new version.\",\"To ensure consistent behavior, consider setting `locationmode` to *ISO-3*.\"].join(\" \");oFe.exports=function(t,r,n,i){function a(h,d){return sk.coerce(t,r,y7t,h,d)}var o=a(\"locations\"),s=a(\"z\");if(!(o&&o.length&&sk.isArrayOrTypedArray(s)&&s.length)){r.visible=!1;return}r._length=Math.min(o.length,s.length);var l=a(\"geojson\"),u;(typeof l==\"string\"&&l!==\"\"||sk.isPlainObject(l))&&(u=\"geojson-id\");var c=a(\"locationmode\",u);c===\"country names\"&&sk.warn(_7t),c===\"geojson-id\"&&a(\"featureidkey\"),a(\"text\"),a(\"hovertext\"),a(\"hovertemplate\"),a(\"hovertemplatefallback\");var f=a(\"marker.line.width\");f&&a(\"marker.line.color\"),a(\"marker.opacity\"),m7t(t,r,i,a,{prefix:\"\",cLetter:\"z\"}),sk.coerceSelectionMarkerOpacity(r,a)}});var zF=ye((Cmr,cFe)=>{\"use strict\";var lFe=Eo(),x7t=fs().BADNUM,b7t=gv(),w7t=km(),T7t=z0();function uFe(e){return e&&typeof e==\"string\"}cFe.exports=function(t,r){var n=r._length,i=new Array(n),a;r.geojson?a=function(c){return uFe(c)||lFe(c)}:a=uFe;for(var o=0;o<n;o++){var s=i[o]={},l=r.locations[o],u=r.z[o];a(l)&&lFe(u)?(s.loc=l,s.z=u):(s.loc=null,s.z=x7t),s.index=o}return w7t(i,r),b7t(t,r,{vals:r.z,containerStr:\"\",cLetter:\"z\"}),T7t(i,r),i}});var OF=ye((Lmr,hFe)=>{\"use strict\";var A7t=Oa(),S7t=ka(),jZ=So(),M7t=tc();function E7t(e,t){t&&fFe(e,t)}function fFe(e,t){var 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r=e[0].trace,n=t[r.geo],i=n._subplot,a=r.locationmode,o=r._length,s=a===\"geojson-id\"?r5.extractTraceFeature(e):L7t(r,i.topojson),l=[],u=[],c=0;c<o;c++){var f=e[c],h=a===\"geojson-id\"?f.fOut:r5.locationToFeature(a,f.loc,s);if(h){f.geojson=h,f.ct=h.properties.ct,f._polygons=r5.feature2polygons(h);var d=r5.computeBbox(h);l.push(d[0],d[2]),u.push(d[1],d[3])}else f.geojson=null}if(n.fitbounds===\"geojson\"&&a===\"geojson-id\"){var v=r5.computeBbox(r5.getTraceGeojson(r));l=[v[0],v[2]],u=[v[1],v[3]]}var _={padded:!0};r._extremes.lon=vFe(n.lonaxis._ax,l,_),r._extremes.lat=vFe(n.lataxis._ax,u,_)}pFe.exports={calcGeoJSON:R7t,plot:I7t}});var qF=ye((Imr,gFe)=>{\"use strict\";var D7t=ho(),F7t=t5(),z7t=Dr().fillText;gFe.exports=function(t,r,n){var i=t.cd,a=i[0].trace,o=t.subplot,s,l,u,c,f=[r,n],h=[r+360,n];for(l=0;l<i.length;l++)if(s=i[l],c=!1,s._polygons){for(u=0;u<s._polygons.length;u++)s._polygons[u].contains(f)&&(c=!c),s._polygons[u].contains(h)&&(c=!c);if(c)break}if(!(!c||!s))return 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e==\"string\")return fY(e,t);var r=Object.prototype.toString.call(e).slice(8,-1);if(r===\"Object\"&&e.constructor&&(r=e.constructor.name),r===\"Map\"||r===\"Set\")return Array.from(e);if(r===\"Arguments\"||/^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(r))return fY(e,t)}}function fY(e,t){(t==null||t>e.length)&&(t=e.length);for(var r=0,n=new Array(t);r<t;r++)n[r]=e[r];return n}function EOt(){throw new TypeError(`Invalid attempt to spread non-iterable instance.\n",
       "In order to be iterable, non-array objects must have a [Symbol.iterator]() method.`)}function kOt(){throw new TypeError(`Invalid attempt to destructure non-iterable instance.\n",
       "In order to be iterable, non-array objects must have a [Symbol.iterator]() method.`)}var COt=J_(),LOt=X2(),POt=t7e(),IOt=HF(),$2=Oh(),tz=a7e(),ROt=Zm(),DOt=cY(),FOt=Z2(),c7e=l7e(),rz=ez(),zOt=i5(),OOt=nv;function nv(e,t){var r=this;if(!(this instanceof nv))return new nv(e,t);typeof e==\"function\"?(t||(t={}),t.regl=e):(t=e,e=null),t&&t.length&&(t.positions=t),e=t.regl;var n=e._gl,i,a=[],o={},s=[],l=[null],u=[null],c=255,f=100;this.tooManyColors=c7e,i=e.texture({data:new Uint8Array(c*4),width:c,height:1,type:\"uint8\",format:\"rgba\",wrapS:\"clamp\",wrapT:\"clamp\",mag:\"nearest\",min:\"nearest\"}),$2(this,{regl:e,gl:n,groups:s,markerCache:u,markerTextures:l,palette:a,paletteIds:o,paletteTexture:i,maxColors:c,maxSize:f,canvas:n.canvas}),this.update(t);var h={uniforms:{constPointSize:!!t.constPointSize,opacity:e.prop(\"opacity\"),paletteSize:function(b,p){return[r.tooManyColors?0:c,i.height]},pixelRatio:e.context(\"pixelRatio\"),scale:e.prop(\"scale\"),scaleFract:e.prop(\"scaleFract\"),translate:e.prop(\"translate\"),translateFract:e.prop(\"translateFract\"),markerTexture:e.prop(\"markerTexture\"),paletteTexture:i},attributes:{x:function(b,p){return p.xAttr||{buffer:p.positionBuffer,stride:8,offset:0}},y:function(b,p){return p.yAttr||{buffer:p.positionBuffer,stride:8,offset:4}},xFract:function(b,p){return p.xAttr?{constant:[0,0]}:{buffer:p.positionFractBuffer,stride:8,offset:0}},yFract:function(b,p){return p.yAttr?{constant:[0,0]}:{buffer:p.positionFractBuffer,stride:8,offset:4}},size:function(b,p){return p.size.length?{buffer:p.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(p.size*255/r.maxSize)]}},borderSize:function(b,p){return p.borderSize.length?{buffer:p.sizeBuffer,stride:2,offset:1}:{constant:[Math.round(p.borderSize*255/r.maxSize)]}},colorId:function(b,p){return p.color.length?{buffer:p.colorBuffer,stride:r.tooManyColors?8:4,offset:0}:{constant:r.tooManyColors?a.slice(p.color*4,p.color*4+4):[p.color]}},borderColorId:function(b,p){return p.borderColor.length?{buffer:p.colorBuffer,stride:r.tooManyColors?8:4,offset:r.tooManyColors?4:2}:{constant:r.tooManyColors?a.slice(p.borderColor*4,p.borderColor*4+4):[p.borderColor]}},isActive:function(b,p){return p.activation===!0?{constant:[1]}:p.activation?p.activation:{constant:[0]}}},blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},scissor:{enable:!0,box:e.prop(\"viewport\")},viewport:e.prop(\"viewport\"),stencil:{enable:!1},depth:{enable:!1},elements:e.prop(\"elements\"),count:e.prop(\"count\"),offset:e.prop(\"offset\"),primitive:\"points\"},d=$2({},h);d.frag=tz([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "uniform float opacity;\n",
       "uniform sampler2D markerTexture;\n",
       "\n",
       "varying vec4 fragColor, fragBorderColor;\n",
       "varying float fragWidth, fragBorderColorLevel, fragColorLevel;\n",
       "\n",
       "float smoothStep(float x, float y) {\n",
       "  return 1.0 / (1.0 + exp(50.0*(x - y)));\n",
       "}\n",
       "\n",
       "void main() {\n",
       "  float dist = texture2D(markerTexture, gl_PointCoord).r, delta = fragWidth;\n",
       "\n",
       "  // max-distance alpha\n",
       "  if (dist < 0.003) discard;\n",
       "\n",
       "  // null-border case\n",
       "  if (fragBorderColorLevel == fragColorLevel || fragBorderColor.a == 0.) {\n",
       "    float colorAmt = smoothstep(.5 - delta, .5 + delta, dist);\n",
       "    gl_FragColor = vec4(fragColor.rgb, colorAmt * fragColor.a * opacity);\n",
       "  }\n",
       "  else {\n",
       "    float borderColorAmt = smoothstep(fragBorderColorLevel - delta, fragBorderColorLevel + delta, dist);\n",
       "    float colorAmt = smoothstep(fragColorLevel - delta, fragColorLevel + delta, dist);\n",
       "\n",
       "    vec4 color = fragBorderColor;\n",
       "    color.a *= borderColorAmt;\n",
       "    color = mix(color, fragColor, colorAmt);\n",
       "    color.a *= opacity;\n",
       "\n",
       "    gl_FragColor = color;\n",
       "  }\n",
       "\n",
       "}\n",
       "`]),d.vert=tz([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "attribute float x, y, xFract, yFract;\n",
       "attribute float size, borderSize;\n",
       "attribute vec4 colorId, borderColorId;\n",
       "attribute 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.\n",
       "invariant gl_Position;\n",
       "\n",
       "uniform bool constPointSize;\n",
       "uniform float pixelRatio;\n",
       "uniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\n",
       "uniform sampler2D paletteTexture;\n",
       "\n",
       "const float maxSize = 100.;\n",
       "const float borderLevel = .5;\n",
       "\n",
       "varying vec4 fragColor, fragBorderColor;\n",
       "varying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\n",
       "\n",
       "float pointSizeScale = (constPointSize) ? 2. : pixelRatio;\n",
       "\n",
       "bool isDirect = (paletteSize.x < 1.);\n",
       "\n",
       "vec4 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",
       "\n",
       "void main() {\n",
       "  // ignore inactive points\n",
       "  if (isActive == 0.) return;\n",
       "\n",
       "  vec2 position = vec2(x, y);\n",
       "  vec2 positionFract = vec2(xFract, yFract);\n",
       "\n",
       "  vec4 color = getColor(colorId);\n",
       "  vec4 borderColor = getColor(borderColorId);\n",
       "\n",
       "  float size = size * maxSize / 255.;\n",
       "  float borderSize = borderSize * maxSize / 255.;\n",
       "\n",
       "  gl_PointSize = 2. * size * pointSizeScale;\n",
       "  fragPointSize = size * pixelRatio;\n",
       "\n",
       "  vec2 pos = (position + translate) * scale\n",
       "      + (positionFract + translateFract) * scale\n",
       "      + (position + translate) * scaleFract\n",
       "      + (positionFract + translateFract) * scaleFract;\n",
       "\n",
       "  gl_Position = vec4(pos * 2. - 1., 0., 1.);\n",
       "\n",
       "  fragColor = color;\n",
       "  fragBorderColor = borderColor;\n",
       "  fragWidth = 1. / gl_PointSize;\n",
       "\n",
       "  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\n",
       "  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\n",
       "}\n",
       "`]),this.drawMarker=e(d);var v=$2({},h);v.frag=tz([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "varying vec4 fragColor, fragBorderColor;\n",
       "varying float fragBorderRadius, fragWidth;\n",
       "\n",
       "uniform float opacity;\n",
       "\n",
       "float 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",
       "\n",
       "void 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",
       "`]),v.vert=tz([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "attribute float x, y, xFract, yFract;\n",
       "attribute float size, borderSize;\n",
       "attribute vec4 colorId, borderColorId;\n",
       "attribute 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.\n",
       "invariant gl_Position;\n",
       "\n",
       "uniform bool constPointSize;\n",
       "uniform float pixelRatio;\n",
       "uniform vec2 paletteSize, scale, scaleFract, translate, translateFract;\n",
       "uniform sampler2D paletteTexture;\n",
       "\n",
       "const float maxSize = 100.;\n",
       "\n",
       "varying vec4 fragColor, fragBorderColor;\n",
       "varying float fragBorderRadius, fragWidth;\n",
       "\n",
       "float pointSizeScale = (constPointSize) ? 2. : pixelRatio;\n",
       "\n",
       "bool isDirect = (paletteSize.x < 1.);\n",
       "\n",
       "vec4 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",
       "\n",
       "void 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",
       "`]),c7e&&(v.frag=v.frag.replace(\"smoothstep\",\"smoothStep\"),d.frag=d.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=e(v)}nv.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};nv.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this};nv.prototype.draw=function(){for(var e=this,t=arguments.length,r=new Array(t),n=0;n<t;n++)r[n]=arguments[n];var i=this.groups;if(r.length===1&&Array.isArray(r[0])&&(r[0][0]===null||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(o,s){e.drawItem(s)});return this};nv.prototype.drawItem=function(e,t){var r=this.groups,n=r[e];if(typeof t==\"number\"&&(e=t,n=r[t],t=null),!!(n&&n.count&&n.opacity)){n.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,n,t));for(var i=[],a=1;a<n.activation.length;a++)!n.activation[a]||n.activation[a]!==!0&&!n.activation[a].data.length||i.push.apply(i,TOt(this.getMarkerDrawOptions(a,n,t)));i.length&&this.drawMarker(i)}};nv.prototype.getMarkerDrawOptions=function(e,t,r){var n=t.range,i=t.tree,a=t.viewport,o=t.activation,s=t.selectionBuffer,l=t.count,u=this.regl;if(!i)return r?[$2({},t,{markerTexture:this.markerTextures[e],activation:o[e],count:r.length,elements:r,offset:0})]:[$2({},t,{markerTexture:this.markerTextures[e],activation:o[e],offset:0})];var c=[],f=i.range(n,{lod:!0,px:[(n[2]-n[0])/a.width,(n[3]-n[1])/a.height]});if(r){for(var h=o[e],d=h.data,v=new Uint8Array(l),_=0;_<r.length;_++){var b=r[_];v[b]=d?d[b]:1}s.subdata(v)}for(var p=f.length;p--;){var k=wOt(f[p],2),E=k[0],S=k[1];c.push($2({},t,{markerTexture:this.markerTextures[e],activation:r?s:o[e],offset:E,count:S-E}))}return c};nv.prototype.update=function(){for(var e=this,t=arguments.length,r=new Array(t),n=0;n<t;n++)r[n]=arguments[n];if(r.length){r.length===1&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,s=this.maxSize,l=this.maxColors,u=this.palette;this.groups=i=r.map(function(c,f){var h=i[f];if(c===void 0)return h;c===null?c={positions:null}:typeof c==\"function\"?c={ondraw:c}:typeof c[0]==\"number\"&&(c={positions:c}),c=ROt(c,{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\"}),c.positions===null&&(c.positions=[]),c.tooManyColors!=null&&(e.tooManyColors=c.tooManyColors),h||(i[f]=h={id:f,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\"})},c=$2({},nv.defaults,c)),c.positions&&!(\"marker\"in c)&&(c.marker=h.marker,delete h.marker),c.marker&&!(\"positions\"in c)&&(c.positions=h.positions,delete h.positions);var d=0,v=0;if(DOt(h,c,[{snap:!0,size:function(j,N){return j==null&&(j=nv.defaults.size),d+=j&&j.length?1:0,j},borderSize:function(j,N){return j==null&&(j=nv.defaults.borderSize),d+=j&&j.length?1:0,j},opacity:parseFloat,color:function(j,N){return j==null&&(j=nv.defaults.color),j=e.updateColor(j),v++,j},borderColor:function(j,N){return j==null&&(j=nv.defaults.borderColor),j=e.updateColor(j),v++,j},bounds:function(j,N,H){return\"range\"in H||(H.range=null),j},positions:function(j,N,H){var te=N.snap,oe=N.positionBuffer,_e=N.positionFractBuffer,Ee=N.selectionBuffer;if(j.x||j.y)return j.x.length?N.xAttr={buffer:o.buffer(j.x),offset:0,stride:4,count:j.x.length}:N.xAttr={buffer:j.x.buffer,offset:j.x.offset*4||0,stride:(j.x.stride||1)*4,count:j.x.count},j.y.length?N.yAttr={buffer:o.buffer(j.y),offset:0,stride:4,count:j.y.length}:N.yAttr={buffer:j.y.buffer,offset:j.y.offset*4||0,stride:(j.y.stride||1)*4,count:j.y.count},N.count=Math.max(N.xAttr.count,N.yAttr.count),j;j=FOt(j,\"float64\");var Ce=N.count=Math.floor(j.length/2),me=N.bounds=Ce?LOt(j,2):null;if(!H.range&&!N.range&&(delete N.range,H.range=me),!H.marker&&!N.marker&&(delete N.marker,H.marker=null),te&&(te===!0||Ce>te)?N.tree=IOt(j,{bounds:me}):te&&te.length&&(N.tree=te),N.tree){var ie={primitive:\"points\",usage:\"static\",data:N.tree,type:\"uint32\"};N.elements?N.elements(ie):N.elements=o.elements(ie)}var Se=rz.float32(j);oe({data:Se,usage:\"dynamic\"});var Le=rz.fract32(j,Se);return _e({data:Le,usage:\"dynamic\"}),Ee({data:new Uint8Array(Ce),type:\"uint8\",usage:\"stream\"}),j}},{marker:function(j,N,H){var te=N.activation;if(te.forEach(function(Le){return Le&&Le.destroy&&Le.destroy()}),te.length=0,!j||typeof j[0]==\"number\"){var oe=e.addMarker(j);te[oe]=!0}else{for(var _e=[],Ee=0,Ce=Math.min(j.length,N.count);Ee<Ce;Ee++){var me=e.addMarker(j[Ee]);_e[me]||(_e[me]=new Uint8Array(N.count)),_e[me][Ee]=1}for(var ie=0;ie<_e.length;ie++)if(_e[ie]){var Se={data:_e[ie],type:\"uint8\",usage:\"static\"};te[ie]?te[ie](Se):te[ie]=o.buffer(Se),te[ie].data=_e[ie]}}return j},range:function(j,N,H){var te=N.bounds;if(te)return j||(j=te),N.scale=[1/(j[2]-j[0]),1/(j[3]-j[1])],N.translate=[-j[0],-j[1]],N.scaleFract=rz.fract(N.scale),N.translateFract=rz.fract(N.translate),j},viewport:function(j){var N=zOt(j||[a.drawingBufferWidth,a.drawingBufferHeight]);return N}}]),d){var _=h,b=_.count,p=_.size,k=_.borderSize,E=_.sizeBuffer,S=new Uint8Array(b*2);if(p.length||k.length)for(var L=0;L<b;L++)S[L*2]=Math.round((p[L]==null?p:p[L])*255/s),S[L*2+1]=Math.round((k[L]==null?k:k[L])*255/s);E({data:S,usage:\"dynamic\"})}if(v){var x=h,C=x.count,M=x.color,g=x.borderColor,P=x.colorBuffer,T;if(e.tooManyColors){if(M.length||g.length){T=new Uint8Array(C*8);for(var z=0;z<C;z++){var O=M[z];T[z*8]=u[O*4],T[z*8+1]=u[O*4+1],T[z*8+2]=u[O*4+2],T[z*8+3]=u[O*4+3];var V=g[z];T[z*8+4]=u[V*4],T[z*8+5]=u[V*4+1],T[z*8+6]=u[V*4+2],T[z*8+7]=u[V*4+3]}}}else if(M.length||g.length){T=new Uint8Array(C*4+2);for(var G=0;G<C;G++)M[G]!=null&&(T[G*4]=M[G]%l,T[G*4+1]=Math.floor(M[G]/l)),g[G]!=null&&(T[G*4+2]=g[G]%l,T[G*4+3]=Math.floor(g[G]/l))}P({data:T||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return h})}};nv.prototype.addMarker=function(e){var t=this.markerTextures,r=this.regl,n=this.markerCache,i=e==null?0:n.indexOf(e);if(i>=0)return i;var a;if(e instanceof Uint8Array||e instanceof Uint8ClampedArray)a=e;else{a=new Uint8Array(e.length);for(var o=0,s=e.length;o<s;o++)a[o]=e[o]*255}var l=Math.floor(Math.sqrt(a.length));return i=t.length,n.push(e),t.push(r.texture({channels:1,data:a,radius:l,mag:\"linear\",min:\"linear\"})),i};nv.prototype.updateColor=function(e){var t=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(e)||(e=[e]);var i=[];if(typeof e[0]==\"number\"){var a=[];if(Array.isArray(e))for(var o=0;o<e.length;o+=4)a.push(e.slice(o,o+4));else for(var s=0;s<e.length;s+=4)a.push(e.subarray(s,s+4));e=a}for(var l=0;l<e.length;l++){var u=e[l];u=COt(u,\"uint8\");var c=POt(u,!1);if(t[c]==null){var f=r.length;t[c]=Math.floor(f/4),r[f]=u[0],r[f+1]=u[1],r[f+2]=u[2],r[f+3]=u[3]}i[l]=t[c]}return!this.tooManyColors&&r.length>n*4&&(this.tooManyColors=!0),this.updatePalette(r),i.length===1?i[0]:i};nv.prototype.updatePalette=function(e){if(!this.tooManyColors){var t=this.maxColors,r=this.paletteTexture,n=Math.ceil(e.length*.25/t);if(n>1){e=e.slice();for(var i=e.length*.25%t;i<n*t;i++)e.push(0,0,0,0)}r.height<n&&r.resize(t,n),r.subimage({width:Math.min(e.length*.25,t),height:n,data:e},0,0)}};nv.prototype.destroy=function(){return this.groups.forEach(function(e){e.sizeBuffer.destroy(),e.positionBuffer.destroy(),e.positionFractBuffer.destroy(),e.colorBuffer.destroy(),e.activation.forEach(function(t){return t&&t.destroy&&t.destroy()}),e.selectionBuffer.destroy(),e.elements&&e.elements.destroy()}),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach(function(e){return 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       "precision highp float;\n",
       "\n",
       "attribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\n",
       "attribute vec4 color;\n",
       "attribute float lineEnd, lineTop;\n",
       "\n",
       "uniform vec2 scale, scaleFract, translate, translateFract;\n",
       "uniform float thickness, pixelRatio, id, depth;\n",
       "uniform vec4 viewport;\n",
       "\n",
       "varying vec4 fragColor;\n",
       "varying vec2 tangent;\n",
       "\n",
       "vec2 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",
       "\n",
       "void 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",
       "`,ANt=`\n",
       "precision highp float;\n",
       "\n",
       "uniform float dashLength, pixelRatio, thickness, opacity, id;\n",
       "uniform sampler2D dashTexture;\n",
       "\n",
       "varying vec4 fragColor;\n",
       "varying vec2 tangent;\n",
       "\n",
       "void 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",
       "`,SNt=`\n",
       "precision highp float;\n",
       "\n",
       "attribute vec2 position, positionFract;\n",
       "\n",
       "uniform vec4 color;\n",
       "uniform vec2 scale, scaleFract, translate, translateFract;\n",
       "uniform float pixelRatio, id;\n",
       "uniform vec4 viewport;\n",
       "uniform float opacity;\n",
       "\n",
       "varying vec4 fragColor;\n",
       "\n",
       "const float MAX_LINES = 256.;\n",
       "\n",
       "void main() {\n",
       "\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\n",
       "\n",
       "\tvec2 position = position * scale + translate\n",
       "       + positionFract * scale + translateFract\n",
       "       + position * scaleFract\n",
       "       + positionFract * scaleFract;\n",
       "\n",
       "\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\n",
       "\n",
       "\tfragColor = color / 255.;\n",
       "\tfragColor.a *= opacity;\n",
       "}\n",
       "`,MNt=`\n",
       "precision highp float;\n",
       "varying vec4 fragColor;\n",
       "\n",
       "void main() {\n",
       "\tgl_FragColor = fragColor;\n",
       "}\n",
       "`,ENt=`\n",
       "precision highp float;\n",
       "\n",
       "attribute vec2 aCoord, bCoord, nextCoord, prevCoord;\n",
       "attribute vec4 aColor, bColor;\n",
       "attribute float lineEnd, lineTop;\n",
       "\n",
       "uniform vec2 scale, translate;\n",
       "uniform float thickness, pixelRatio, id, depth;\n",
       "uniform vec4 viewport;\n",
       "uniform float miterLimit, miterMode;\n",
       "\n",
       "varying vec4 fragColor;\n",
       "varying vec4 startCutoff, endCutoff;\n",
       "varying vec2 tangent;\n",
       "varying vec2 startCoord, endCoord;\n",
       "varying float enableStartMiter, enableEndMiter;\n",
       "\n",
       "const float REVERSE_THRESHOLD = -.875;\n",
       "const 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",
       "\n",
       "float 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",
       "\n",
       "bool isNaN( float val ){\n",
       "  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\n",
       "}\n",
       "\n",
       "void 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",
       "`,kNt=`\n",
       "precision highp float;\n",
       "\n",
       "uniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\n",
       "uniform sampler2D dashTexture;\n",
       "\n",
       "varying vec4 fragColor;\n",
       "varying vec2 tangent;\n",
       "varying vec4 startCutoff, endCutoff;\n",
       "varying vec2 startCoord, endCoord;\n",
       "varying float enableStartMiter, enableEndMiter;\n",
       "\n",
       "float 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",
       "\n",
       "void 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",
       "`;dqe.exports=Wc;function Wc(e,t){if(!(this instanceof Wc))return new Wc(e,t);if(typeof e==\"function\"?(t||(t={}),t.regl=e):t=e,t.length&&(t.positions=t),e=t.regl,!e.hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=e._gl,this.regl=e,this.passes=[],this.shaders=Wc.shaders.has(e)?Wc.shaders.get(e):Wc.shaders.set(e,Wc.createShaders(e)).get(e),this.update(t)}Wc.dashMult=2;Wc.maxPatternLength=256;Wc.precisionThreshold=3e6;Wc.maxPoints=1e4;Wc.maxLines=2048;Wc.shaders=new bNt;Wc.createShaders=function(e){let t=e.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),r={primitive:\"triangle strip\",instances:e.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:(o,s)=>s.join===\"round\"?2:1,miterLimit:e.prop(\"miterLimit\"),scale:e.prop(\"scale\"),scaleFract:e.prop(\"scaleFract\"),translateFract:e.prop(\"translateFract\"),translate:e.prop(\"translate\"),thickness:e.prop(\"thickness\"),dashTexture:e.prop(\"dashTexture\"),opacity:e.prop(\"opacity\"),pixelRatio:e.context(\"pixelRatio\"),id:e.prop(\"id\"),dashLength:e.prop(\"dashLength\"),viewport:(o,s)=>[s.viewport.x,s.viewport.y,o.viewportWidth,o.viewportHeight],depth:e.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:(o,s)=>!s.overlay},stencil:{enable:!1},scissor:{enable:!0,box:e.prop(\"viewport\")},viewport:e.prop(\"viewport\")},n=e(VY({vert:TNt,frag:ANt,attributes:{lineEnd:{buffer:t,divisor:0,stride:8,offset:0},lineTop:{buffer:t,divisor:0,stride:8,offset:4},aCoord:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:e.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:e.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:e.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},r)),i;try{i=e(VY({cull:{enable:!0,face:\"back\"},vert:ENt,frag:kNt,attributes:{lineEnd:{buffer:t,divisor:0,stride:8,offset:0},lineTop:{buffer:t,divisor:0,stride:8,offset:4},aColor:{buffer:e.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1},bColor:{buffer:e.prop(\"colorBuffer\"),stride:4,offset:4,divisor:1},prevCoord:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:0,divisor:1},aCoord:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},nextCoord:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:24,divisor:1}}},r))}catch(o){i=n}return{fill:e({primitive:\"triangle\",elements:(o,s)=>s.triangles,offset:0,vert:SNt,frag:MNt,uniforms:{scale:e.prop(\"scale\"),color:e.prop(\"fill\"),scaleFract:e.prop(\"scaleFract\"),translateFract:e.prop(\"translateFract\"),translate:e.prop(\"translate\"),opacity:e.prop(\"opacity\"),pixelRatio:e.context(\"pixelRatio\"),id:e.prop(\"id\"),viewport:(o,s)=>[s.viewport.x,s.viewport.y,o.viewportWidth,o.viewportHeight]},attributes:{position:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:8},positionFract:{buffer:e.prop(\"positionFractBuffer\"),stride:8,offset:8}},blend:r.blend,depth:{enable:!1},scissor:r.scissor,stencil:r.stencil,viewport:r.viewport}),rect:n,miter:i}};Wc.defaults={dashes:null,join:\"miter\",miterLimit:1,thickness:10,cap:\"square\",color:\"black\",opacity:1,overlay:!1,viewport:null,range:null,close:!1,fill:null};Wc.prototype.render=function(...e){e.length&&this.update(...e),this.draw()};Wc.prototype.draw=function(...e){return(e.length?e:this.passes).forEach((t,r)=>{if(t&&Array.isArray(t))return this.draw(...t);typeof t==\"number\"&&(t=this.passes[t]),t&&t.count>1&&t.opacity&&(this.regl._refresh(),t.fill&&t.triangles&&t.triangles.length>2&&this.shaders.fill(t),t.thickness&&(t.scale[0]*t.viewport.width>Wc.precisionThreshold||t.scale[1]*t.viewport.height>Wc.precisionThreshold?this.shaders.rect(t):t.join===\"rect\"||!t.join&&(t.thickness<=2||t.count>=Wc.maxPoints)?this.shaders.rect(t):this.shaders.miter(t)))}),this};Wc.prototype.update=function(e){if(!e)return;e.length!=null?typeof e[0]==\"number\"&&(e=[{positions:e}]):Array.isArray(e)||(e=[e]);let{regl:t,gl:r}=this;if(e.forEach((i,a)=>{let o=this.passes[a];if(i!==void 0){if(i===null){this.passes[a]=null;return}if(typeof i[0]==\"number\"&&(i={positions:i}),i=mNt(i,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth\",join:\"lineJoin linejoin join type mode\",miterLimit:\"miterlimit miterLimit\",dashes:\"dash dashes dasharray dash-array dashArray\",color:\"color colour stroke colors colours stroke-color strokeColor\",fill:\"fill fill-color fillColor\",opacity:\"alpha opacity\",overlay:\"overlay crease overlap intersect\",close:\"closed close closed-path closePath\",range:\"range dataBox\",viewport:\"viewport viewBox\",hole:\"holes hole hollow\",splitNull:\"splitNull\"}),o||(this.passes[a]=o={id:a,scale:null,scaleFract:null,translate:null,translateFract:null,count:0,hole:[],depth:0,dashLength:1,dashTexture:t.texture({channels:1,data:new Uint8Array([255]),width:1,height:1,mag:\"linear\",min:\"linear\"}),colorBuffer:t.buffer({usage:\"dynamic\",type:\"uint8\",data:new Uint8Array}),positionBuffer:t.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array}),positionFractBuffer:t.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array})},i=VY({},Wc.defaults,i)),i.thickness!=null&&(o.thickness=parseFloat(i.thickness)),i.opacity!=null&&(o.opacity=parseFloat(i.opacity)),i.miterLimit!=null&&(o.miterLimit=parseFloat(i.miterLimit)),i.overlay!=null&&(o.overlay=!!i.overlay,a<Wc.maxLines&&(o.depth=2*(Wc.maxLines-1-a%Wc.maxLines)/Wc.maxLines-1)),i.join!=null&&(o.join=i.join),i.hole!=null&&(o.hole=i.hole),i.fill!=null&&(o.fill=i.fill?yz(i.fill,\"uint8\"):null),i.viewport!=null&&(o.viewport=hqe(i.viewport)),o.viewport||(o.viewport=hqe([r.drawingBufferWidth,r.drawingBufferHeight])),i.close!=null&&(o.close=i.close),i.positions===null&&(i.positions=[]),i.positions){let u,c;if(i.positions.x&&i.positions.y){let v=i.positions.x,_=i.positions.y;c=o.count=Math.max(v.length,_.length),u=new Float64Array(c*2);for(let b=0;b<c;b++)u[b*2]=v[b],u[b*2+1]=_[b]}else u=yNt(i.positions,\"float64\"),c=o.count=Math.floor(u.length/2);let f=o.bounds=gNt(u,2);if(o.fill){let v=[],_={},b=0;for(let p=0,k=0,E=o.count;p<E;p++){let S=u[p*2],L=u[p*2+1];isNaN(S)||isNaN(L)||S==null||L==null?(S=u[b*2],L=u[b*2+1],_[p]=b):b=p,v[k++]=S,v[k++]=L}if(i.splitNull){o.count-1 in _||(_[o.count]=o.count-1);let p=Object.keys(_).map(Number).sort((L,x)=>L-x),k=[],E=0,S=o.hole!=null?o.hole[0]:null;if(S!=null){let L=wNt(p,x=>x>=S);p=p.slice(0,L),p.push(S)}for(let L=0;L<p.length;L++){let x=v.slice(E*2,p[L]*2).concat(S?v.slice(S*2):[]),C=(o.hole||[]).map(g=>g-S+(p[L]-E)),M=fqe(x,C);M=M.map(g=>g+E+(g+E<p[L]?0:S-p[L])),k.push(...M),E=p[L]+1}for(let L=0,x=k.length;L<x;L++)_[k[L]]!=null&&(k[L]=_[k[L]]);o.triangles=k}else{let p=fqe(v,o.hole||[]);for(let k=0,E=p.length;k<E;k++)_[p[k]]!=null&&(p[k]=_[p[k]]);o.triangles=p}}let h=new Float64Array(u);_Nt(h,2,f);let d=new Float64Array(c*2+6);o.close?u[0]===u[c*2-2]&&u[1]===u[c*2-1]?(d[0]=h[c*2-4],d[1]=h[c*2-3]):(d[0]=h[c*2-2],d[1]=h[c*2-1]):(d[0]=h[0],d[1]=h[1]),d.set(h,2),o.close?u[0]===u[c*2-2]&&u[1]===u[c*2-1]?(d[c*2+2]=h[2],d[c*2+3]=h[3],o.count-=1):(d[c*2+2]=h[0],d[c*2+3]=h[1],d[c*2+4]=h[2],d[c*2+5]=h[3]):(d[c*2+2]=h[c*2-2],d[c*2+3]=h[c*2-1],d[c*2+4]=h[c*2-2],d[c*2+5]=h[c*2-1]);var s=xNt(d);o.positionBuffer(s);var l=UY(d,s);o.positionFractBuffer(l)}if(i.range?o.range=i.range:o.range||(o.range=o.bounds),(i.range||i.positions)&&o.count){let u=o.bounds,c=u[2]-u[0],f=u[3]-u[1],h=o.range[2]-o.range[0],d=o.range[3]-o.range[1];o.scale=[c/h,f/d],o.translate=[-o.range[0]/h+u[0]/h||0,-o.range[1]/d+u[1]/d||0],o.scaleFract=UY(o.scale),o.translateFract=UY(o.translate)}if(i.dashes){let u=0,c;if(!i.dashes||i.dashes.length<2)u=1,c=new Uint8Array([255,255,255,255,255,255,255,255]);else{u=0;for(let d=0;d<i.dashes.length;++d)u+=i.dashes[d];c=new Uint8Array(u*Wc.dashMult);let f=0,h=255;for(let d=0;d<2;d++)for(let v=0;v<i.dashes.length;++v){for(let _=0,b=i.dashes[v]*Wc.dashMult*.5;_<b;++_)c[f++]=h;h^=255}}o.dashLength=u,o.dashTexture({channels:1,data:c,width:c.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(i.color){let u=o.count,c=i.color;c||(c=\"transparent\");let f=new Uint8Array(u*4+4);if(!Array.isArray(c)||typeof c[0]==\"number\"){let h=yz(c,\"uint8\");for(let d=0;d<u+1;d++)f.set(h,d*4)}else{for(let h=0;h<u;h++){let d=yz(c[h],\"uint8\");f.set(d,h*4)}f.set(yz(c[0],\"uint8\"),u*4)}o.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:f})}}}),e.length<this.passes.length){for(let i=e.length;i<this.passes.length;i++){let a=this.passes[i];a&&(a.colorBuffer.destroy(),a.positionBuffer.destroy(),a.dashTexture.destroy())}this.passes.length=e.length}let n=[];for(let i=0;i<this.passes.length;i++)this.passes[i]!==null&&n.push(this.passes[i]);return this.passes=n,this};Wc.prototype.destroy=function(){return this.passes.forEach(e=>{e.colorBuffer.destroy(),e.positionBuffer.destroy(),e.dashTexture.destroy()}),this.passes.length=0,this}});var yqe=ye((V1r,mqe)=>{\"use strict\";var CNt=X2(),LNt=J_(),PNt=cY(),INt=Zm(),vqe=Oh(),pqe=Z2(),{float32:RNt,fract32:HY}=ez();mqe.exports=DNt;var gqe=[[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]];function DNt(e,t){if(typeof e==\"function\"?(t||(t={}),t.regl=e):t=e,t.length&&(t.positions=t),e=t.regl,!e.hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");let r=e._gl,n,i,a,o,s,l,u={color:\"black\",capSize:5,lineWidth:1,opacity:1,viewport:null,range:null,offset:0,count:0,bounds:null,positions:[],errors:[]},c=[];return o=e.buffer({usage:\"dynamic\",type:\"uint8\",data:new Uint8Array(0)}),i=e.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)}),a=e.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)}),s=e.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)}),l=e.buffer({usage:\"static\",type:\"float\",data:gqe}),v(t),n=e({vert:`\n",
       "\t\tprecision highp float;\n",
       "\n",
       "\t\tattribute vec2 position, positionFract;\n",
       "\t\tattribute vec4 error;\n",
       "\t\tattribute vec4 color;\n",
       "\n",
       "\t\tattribute vec2 direction, lineOffset, capOffset;\n",
       "\n",
       "\t\tuniform vec4 viewport;\n",
       "\t\tuniform float lineWidth, capSize;\n",
       "\t\tuniform vec2 scale, scaleFract, translate, translateFract;\n",
       "\n",
       "\t\tvarying vec4 fragColor;\n",
       "\n",
       "\t\tvoid main() {\n",
       "\t\t\tfragColor = color / 255.;\n",
       "\n",
       "\t\t\tvec2 pixelOffset = lineWidth * lineOffset + (capSize + lineWidth) * capOffset;\n",
       "\n",
       "\t\t\tvec2 dxy = -step(.5, direction.xy) * error.xz + step(direction.xy, vec2(-.5)) * error.yw;\n",
       "\n",
       "\t\t\tvec2 position = position + dxy;\n",
       "\n",
       "\t\t\tvec2 pos = (position + translate) * scale\n",
       "\t\t\t\t+ (positionFract + translateFract) * scale\n",
       "\t\t\t\t+ (position + translate) * scaleFract\n",
       "\t\t\t\t+ (positionFract + translateFract) * scaleFract;\n",
       "\n",
       "\t\t\tpos += pixelOffset / viewport.zw;\n",
       "\n",
       "\t\t\tgl_Position = vec4(pos * 2. - 1., 0, 1);\n",
       "\t\t}\n",
       "\t\t`,frag:`\n",
       "\t\tprecision highp float;\n",
       "\n",
       "\t\tvarying vec4 fragColor;\n",
       "\n",
       "\t\tuniform float opacity;\n",
       "\n",
       "\t\tvoid main() {\n",
       "\t\t\tgl_FragColor = fragColor;\n",
       "\t\t\tgl_FragColor.a *= opacity;\n",
       "\t\t}\n",
       "\t\t`,uniforms:{range:e.prop(\"range\"),lineWidth:e.prop(\"lineWidth\"),capSize:e.prop(\"capSize\"),opacity:e.prop(\"opacity\"),scale:e.prop(\"scale\"),translate:e.prop(\"translate\"),scaleFract:e.prop(\"scaleFract\"),translateFract:e.prop(\"translateFract\"),viewport:(b,p)=>[p.viewport.x,p.viewport.y,b.viewportWidth,b.viewportHeight]},attributes:{color:{buffer:o,offset:(b,p)=>p.offset*4,divisor:1},position:{buffer:i,offset:(b,p)=>p.offset*8,divisor:1},positionFract:{buffer:a,offset:(b,p)=>p.offset*8,divisor:1},error:{buffer:s,offset:(b,p)=>p.offset*16,divisor:1},direction:{buffer:l,stride:24,offset:0},lineOffset:{buffer:l,stride:24,offset:8},capOffset:{buffer:l,stride:24,offset:16}},primitive:\"triangles\",blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:!1},scissor:{enable:!0,box:e.prop(\"viewport\")},viewport:e.prop(\"viewport\"),stencil:!1,instances:e.prop(\"count\"),count:gqe.length}),vqe(f,{update:v,draw:h,destroy:_,regl:e,gl:r,canvas:r.canvas,groups:c}),f;function f(b){b?v(b):b===null&&_(),h()}function h(b){if(typeof b==\"number\")return d(b);b&&!Array.isArray(b)&&(b=[b]),e._refresh(),c.forEach((p,k)=>{if(p){if(b&&(b[k]?p.draw=!0:p.draw=!1),!p.draw){p.draw=!0;return}d(k)}})}function d(b){typeof b==\"number\"&&(b=c[b]),b!=null&&b&&b.count&&b.color&&b.opacity&&b.positions&&b.positions.length>1&&(b.scaleRatio=[b.scale[0]*b.viewport.width,b.scale[1]*b.viewport.height],n(b),b.after&&b.after(b))}function v(b){if(!b)return;b.length!=null?typeof b[0]==\"number\"&&(b=[{positions:b}]):Array.isArray(b)||(b=[b]);let p=0,k=0;if(f.groups=c=b.map((L,x)=>{let C=c[x];if(L)typeof L==\"function\"?L={after:L}:typeof L[0]==\"number\"&&(L={positions:L});else return C;return L=INt(L,{color:\"color colors 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hr=ne.element,qt=ne.data,Ve=ne.internalformat,Qe=ne.format,at=ne.type,Ct=ne.width,Ot=ne.height;Ji(ne),hr?Me.texSubImage2D(we,Xt,Ue,ft,Qe,at,hr):ne.compressed?Me.compressedTexSubImage2D(we,Xt,Ue,ft,Ve,Ct,Ot,qt):ne.needsCopy?(Rr(),Me.copyTexSubImage2D(we,Xt,Ue,ft,ne.xOffset,ne.yOffset,Ct,Ot)):Me.texSubImage2D(we,Xt,Ue,ft,Ct,Ot,Qe,at,qt)}var na=[];function Ki(){return na.pop()||new Vi}function kn(ne){ne.needsFree&&H.freeType(ne.data),Vi.call(ne),na.push(ne)}function ta(){hi.call(this),this.genMipmaps=!1,this.mipmapHint=sc,this.mipmask=0,this.images=Array(16)}function oa(ne,we,Ue){var ft=ne.images[0]=Ki();ne.mipmask=1,ft.width=ne.width=we,ft.height=ne.height=Ue,ft.channels=ne.channels=4}function ba(ne,we){var Ue=null;if(_f(we))Ue=ne.images[0]=Ki(),li(Ue,ne),Ni(Ue,we),ne.mipmask=1;else if(mn(ne,we),Array.isArray(we.mipmap))for(var ft=we.mipmap,Xt=0;Xt<ft.length;++Xt)Ue=ne.images[Xt]=Ki(),li(Ue,ne),Ue.width>>=Xt,Ue.height>>=Xt,Ni(Ue,ft[Xt]),ne.mipmask|=1<<Xt;else 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wa(ne){hi.call(this),this.mipmask=0,this.internalformat=Ma,this.id=Vl++,this.refCount=1,this.target=ne,this.texture=Me.createTexture(),this.unit=-1,this.bindCount=0,this.texInfo=new zo,Gr.profile&&(this.stats={size:0})}function ol(ne){Me.activeTexture(Fu),Me.bindTexture(ne.target,ne.texture)}function io(){var ne=Ys[0];ne?Me.bindTexture(ne.target,ne.texture):Me.bindTexture(_n,null)}function Y(ne){var we=ne.texture,Ue=ne.unit,ft=ne.target;Ue>=0&&(Me.activeTexture(Fu+Ue),Me.bindTexture(ft,null),Ys[Ue]=null),Me.deleteTexture(we),ne.texture=null,ne.params=null,ne.pixels=null,ne.refCount=0,delete ss[ne.id],Nr.textureCount--}e(wa.prototype,{bind:function(){var ne=this;ne.bindCount+=1;var we=ne.unit;if(we<0){for(var Ue=0;Ue<Vs;++Ue){var ft=Ys[Ue];if(ft){if(ft.bindCount>0)continue;ft.unit=-1}Ys[Ue]=ne,we=Ue;break}we>=Vs,Gr.profile&&Nr.maxTextureUnits<we+1&&(Nr.maxTextureUnits=we+1),ne.unit=we,Me.activeTexture(Fu+we),Me.bindTexture(ne.target,ne.texture)}return we},unbind:function(){this.bindCount-=1},decRef:function(){--this.refCount<=0&&Y(this)}});function D(ne,we){var Ue=new wa(_n);ss[Ue.id]=Ue,Nr.textureCount++;function ft(qt,Ve){var Qe=Ue.texInfo;zo.call(Qe);var at=Va();return typeof qt==\"number\"?typeof Ve==\"number\"?oa(at,qt|0,Ve|0):oa(at,qt|0,qt|0):qt?(Qs(Qe,qt),ba(at,qt)):oa(at,1,1),Qe.genMipmaps&&(at.mipmask=(at.width<<1)-1),Ue.mipmask=at.mipmask,li(Ue,at),Ue.internalformat=at.internalformat,ft.width=at.width,ft.height=at.height,ol(Ue),is(at,_n),al(Qe,_n),io(),Ml(at),Gr.profile&&(Ue.stats.size=cc(Ue.internalformat,Ue.type,at.width,at.height,Qe.genMipmaps,!1)),ft.format=xi[Ue.internalformat],ft.type=Ri[Ue.type],ft.mag=ci[Qe.magFilter],ft.min=an[Qe.minFilter],ft.wrapS=Zi[Qe.wrapS],ft.wrapT=Zi[Qe.wrapT],ft}function Xt(qt,Ve,Qe,at){var Ct=Ve|0,Ot=Qe|0,Rt=at|0,Bt=Ki();return li(Bt,Ue),Bt.width=0,Bt.height=0,Ni(Bt,qt),Bt.width=Bt.width||(Ue.width>>Rt)-Ct,Bt.height=Bt.height||(Ue.height>>Rt)-Ot,ol(Ue),Vn(Bt,_n,Ct,Ot,Rt),io(),kn(Bt),ft}function hr(qt,Ve){var Qe=qt|0,at=Ve|0||Qe;if(Qe===Ue.width&&at===Ue.height)return ft;ft.width=Ue.width=Qe,ft.height=Ue.height=at,ol(Ue);for(var Ct=0;Ue.mipmask>>Ct;++Ct){var Ot=Qe>>Ct,Rt=at>>Ct;if(!Ot||!Rt)break;Me.texImage2D(_n,Ct,Ue.format,Ot,Rt,0,Ue.format,Ue.type,null)}return io(),Gr.profile&&(Ue.stats.size=cc(Ue.internalformat,Ue.type,Qe,at,!1,!1)),ft}return ft(ne,we),ft.subimage=Xt,ft.resize=hr,ft._reglType=\"texture2d\",ft._texture=Ue,Gr.profile&&(ft.stats=Ue.stats),ft.destroy=function(){Ue.decRef()},ft}function J(ne,we,Ue,ft,Xt,hr){var qt=new wa(ya);ss[qt.id]=qt,Nr.cubeCount++;var Ve=new Array(6);function Qe(Ot,Rt,Bt,Dt,yt,Pt){var ht,ur=qt.texInfo;for(zo.call(ur),ht=0;ht<6;++ht)Ve[ht]=Va();if(typeof Ot==\"number\"||!Ot){var br=Ot|0||1;for(ht=0;ht<6;++ht)oa(Ve[ht],br,br)}else if(typeof Ot==\"object\")if(Rt)ba(Ve[0],Ot),ba(Ve[1],Rt),ba(Ve[2],Bt),ba(Ve[3],Dt),ba(Ve[4],yt),ba(Ve[5],Pt);else if(Qs(ur,Ot),mn(qt,Ot),\"faces\"in Ot){var Ur=Ot.faces;for(ht=0;ht<6;++ht)li(Ve[ht],qt),ba(Ve[ht],Ur[ht])}else for(ht=0;ht<6;++ht)ba(Ve[ht],Ot);for(li(qt,Ve[0]),ur.genMipmaps?qt.mipmask=(Ve[0].width<<1)-1:qt.mipmask=Ve[0].mipmask,qt.internalformat=Ve[0].internalformat,Qe.width=Ve[0].width,Qe.height=Ve[0].height,ol(qt),ht=0;ht<6;++ht)is(Ve[ht],Jn+ht);for(al(ur,ya),io(),Gr.profile&&(qt.stats.size=cc(qt.internalformat,qt.type,Qe.width,Qe.height,ur.genMipmaps,!0)),Qe.format=xi[qt.internalformat],Qe.type=Ri[qt.type],Qe.mag=ci[ur.magFilter],Qe.min=an[ur.minFilter],Qe.wrapS=Zi[ur.wrapS],Qe.wrapT=Zi[ur.wrapT],ht=0;ht<6;++ht)Ml(Ve[ht]);return Qe}function at(Ot,Rt,Bt,Dt,yt){var Pt=Bt|0,ht=Dt|0,ur=yt|0,br=Ki();return li(br,qt),br.width=0,br.height=0,Ni(br,Rt),br.width=br.width||(qt.width>>ur)-Pt,br.height=br.height||(qt.height>>ur)-ht,ol(qt),Vn(br,Jn+Ot,Pt,ht,ur),io(),kn(br),Qe}function Ct(Ot){var Rt=Ot|0;if(Rt!==qt.width){Qe.width=qt.width=Rt,Qe.height=qt.height=Rt,ol(qt);for(var Bt=0;Bt<6;++Bt)for(var Dt=0;qt.mipmask>>Dt;++Dt)Me.texImage2D(Jn+Bt,Dt,qt.format,Rt>>Dt,Rt>>Dt,0,qt.format,qt.type,null);return io(),Gr.profile&&(qt.stats.size=cc(qt.internalformat,qt.type,Qe.width,Qe.height,!1,!0)),Qe}}return Qe(ne,we,Ue,ft,Xt,hr),Qe.subimage=at,Qe.resize=Ct,Qe._reglType=\"textureCube\",Qe._texture=qt,Gr.profile&&(Qe.stats=qt.stats),Qe.destroy=function(){qt.decRef()},Qe}function q(){for(var ne=0;ne<Vs;++ne)Me.activeTexture(Fu+ne),Me.bindTexture(_n,null),Ys[ne]=null;dt(ss).forEach(Y),Nr.cubeCount=0,Nr.textureCount=0}Gr.profile&&(Nr.getTotalTextureSize=function(){var ne=0;return Object.keys(ss).forEach(function(we){ne+=ss[we].stats.size}),ne});function K(){for(var ne=0;ne<Vs;++ne){var we=Ys[ne];we&&(we.bindCount=0,we.unit=-1,Ys[ne]=null)}dt(ss).forEach(function(Ue){Ue.texture=Me.createTexture(),Me.bindTexture(Ue.target,Ue.texture);for(var ft=0;ft<32;++ft)if((Ue.mipmask&1<<ft)!==0)if(Ue.target===_n)Me.texImage2D(_n,ft,Ue.internalformat,Ue.width>>ft,Ue.height>>ft,0,Ue.internalformat,Ue.type,null);else for(var Xt=0;Xt<6;++Xt)Me.texImage2D(Jn+Xt,ft,Ue.internalformat,Ue.width>>ft,Ue.height>>ft,0,Ue.internalformat,Ue.type,null);al(Ue.texInfo,Ue.target)})}function de(){for(var ne=0;ne<Vs;++ne){var we=Ys[ne];we&&(we.bindCount=0,we.unit=-1,Ys[ne]=null),Me.activeTexture(Fu+ne),Me.bindTexture(_n,null),Me.bindTexture(ya,null)}}return{create2D:D,createCube:J,clear:q,getTexture:function(ne){return null},restore:K,refresh:de}}var Nl=36161,Kc=32854,Rc=32855,gs=36194,jf=33189,Gh=36168,rh=34041,sf=35907,Th=34836,Mu=34842,ih=34843,js=[];js[Kc]=2,js[Rc]=2,js[gs]=2,js[jf]=2,js[Gh]=1,js[rh]=4,js[sf]=4,js[Th]=16,js[Mu]=8,js[ih]=6;function Eu(Me,bt,zt){return js[Me]*bt*zt}var Dc=function(Me,bt,zt,Rr,jr){var Nr={rgba4:Kc,rgb565:gs,\"rgb5 a1\":Rc,depth:jf,stencil:Gh,\"depth 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en(){dt(Ui).forEach(function(Wi){Wi.renderbuffer=Me.createRenderbuffer(),Me.bindRenderbuffer(Nl,Wi.renderbuffer),Me.renderbufferStorage(Nl,Wi.format,Wi.width,Wi.height)}),Me.bindRenderbuffer(Nl,null)}return{create:Hn,clear:function(){dt(Ui).forEach(Ei)},restore:en}},ks=36160,bc=36161,hu=3553,_u=34069,nl=36064,nh=36096,Ah=36128,zu=33306,Fc=36053,wc=36193,bd=5121,xf=5126,Pf=6407,Ou=6408,bf=[];bf[Ou]=4,bf[Pf]=3;var jl=[];jl[bd]=1,jl[xf]=4,jl[wc]=2;function lf(Me,bt,zt,Rr,jr,Nr){var Gr={cur:null,next:null,dirty:!1,setFBO:null},mi=[\"rgba\"],Ui=[\"rgba4\",\"rgb565\",\"rgb5 a1\"];bt.ext_srgb&&Ui.push(\"srgba\"),bt.ext_color_buffer_half_float&&Ui.push(\"rgba16f\",\"rgb16f\"),bt.webgl_color_buffer_float&&Ui.push(\"rgba32f\");var qi=[\"uint8\"];bt.oes_texture_half_float&&qi.push(\"half float\",\"float16\"),bt.oes_texture_float&&qi.push(\"float\",\"float32\");function Ei(Vi,Ni,pn){this.target=Vi,this.texture=Ni,this.renderbuffer=pn;var Vn=0,na=0;Ni?(Vn=Ni.width,na=Ni.height):pn&&(Vn=pn.width,na=pn.height),this.width=Vn,this.height=na}function Hn(Vi){Vi&&(Vi.texture&&Vi.texture._texture.decRef(),Vi.renderbuffer&&Vi.renderbuffer._renderbuffer.decRef())}function en(Vi,Ni,pn){if(Vi)if(Vi.texture){var Vn=Vi.texture._texture,na=Math.max(1,Vn.width),Ki=Math.max(1,Vn.height);Vn.refCount+=1}else{var kn=Vi.renderbuffer._renderbuffer;kn.refCount+=1}}function Wi(Vi,Ni){Ni&&(Ni.texture?Me.framebufferTexture2D(ks,Vi,Ni.target,Ni.texture._texture.texture,0):Me.framebufferRenderbuffer(ks,Vi,bc,Ni.renderbuffer._renderbuffer.renderbuffer))}function si(Vi){var Ni=hu,pn=null,Vn=null,na=Vi;typeof Vi==\"object\"&&(na=Vi.data,\"target\"in Vi&&(Ni=Vi.target|0));var Ki=na._reglType;return Ki===\"texture2d\"||Ki===\"textureCube\"?pn=na:Ki===\"renderbuffer\"&&(Vn=na,Ni=bc),new Ei(Ni,pn,Vn)}function Mr(Vi,Ni,pn,Vn,na){if(pn){var Ki=Rr.create2D({width:Vi,height:Ni,format:Vn,type:na});return Ki._texture.refCount=0,new Ei(hu,Ki,null)}else{var kn=jr.create({width:Vi,height:Ni,format:Vn});return kn._renderbuffer.refCount=0,new Ei(bc,null,kn)}}function Yr(Vi){return Vi&&(Vi.texture||Vi.renderbuffer)}function xi(Vi,Ni,pn){Vi&&(Vi.texture?Vi.texture.resize(Ni,pn):Vi.renderbuffer&&Vi.renderbuffer.resize(Ni,pn),Vi.width=Ni,Vi.height=pn)}var Ri=0,ci={};function an(){this.id=Ri++,ci[this.id]=this,this.framebuffer=Me.createFramebuffer(),this.width=0,this.height=0,this.colorAttachments=[],this.depthAttachment=null,this.stencilAttachment=null,this.depthStencilAttachment=null}function Zi(Vi){Vi.colorAttachments.forEach(Hn),Hn(Vi.depthAttachment),Hn(Vi.stencilAttachment),Hn(Vi.depthStencilAttachment)}function Bn(Vi){var Ni=Vi.framebuffer;Me.deleteFramebuffer(Ni),Vi.framebuffer=null,Nr.framebufferCount--,delete ci[Vi.id]}function hi(Vi){var Ni;Me.bindFramebuffer(ks,Vi.framebuffer);var 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xi(pn.depthAttachment,ta,oa),xi(pn.stencilAttachment,ta,oa),xi(pn.depthStencilAttachment,ta,oa),pn.width=Vn.width=ta,pn.height=Vn.height=oa,hi(pn),Vn}return Vn(Vi,Ni),e(Vn,{resize:na,_reglType:\"framebuffer\",_framebuffer:pn,destroy:function(){Bn(pn),Zi(pn)},use:function(Ki){Gr.setFBO({framebuffer:Vn},Ki)}})}function mn(Vi){var Ni=Array(6);function pn(na){var Ki,kn={color:null},ta=0,oa=null,ba=\"rgba\",is=\"uint8\",Zs=1;if(typeof na==\"number\")ta=na|0;else if(!na)ta=1;else{var Va=na;if(\"shape\"in Va){var Ml=Va.shape;ta=Ml[0]}else\"radius\"in Va&&(ta=Va.radius|0),\"width\"in Va?(ta=Va.width|0,\"height\"in Va):\"height\"in Va&&(ta=Va.height|0);(\"color\"in Va||\"colors\"in Va)&&(oa=Va.color||Va.colors,Array.isArray(oa)),oa||(\"colorCount\"in Va&&(Zs=Va.colorCount|0),\"colorType\"in Va&&(is=Va.colorType),\"colorFormat\"in Va&&(ba=Va.colorFormat)),\"depth\"in Va&&(kn.depth=Va.depth),\"stencil\"in Va&&(kn.stencil=Va.stencil),\"depthStencil\"in Va&&(kn.depthStencil=Va.depthStencil)}var zo;if(oa)if(Array.isArray(oa))for(zo=[],Ki=0;Ki<oa.length;++Ki)zo[Ki]=oa[Ki];else zo=[oa];else{zo=Array(Zs);var Qs={radius:ta,format:ba,type:is};for(Ki=0;Ki<Zs;++Ki)zo[Ki]=Rr.createCube(Qs)}for(kn.color=Array(zo.length),Ki=0;Ki<zo.length;++Ki){var al=zo[Ki];ta=ta||al.width,kn.color[Ki]={target:_u,data:zo[Ki]}}for(Ki=0;Ki<6;++Ki){for(var Vl=0;Vl<zo.length;++Vl)kn.color[Vl].target=_u+Ki;Ki>0&&(kn.depth=Ni[0].depth,kn.stencil=Ni[0].stencil,kn.depthStencil=Ni[0].depthStencil),Ni[Ki]?Ni[Ki](kn):Ni[Ki]=li(kn)}return e(pn,{width:ta,height:ta,color:zo})}function Vn(na){var Ki,kn=na|0;if(kn===pn.width)return pn;var ta=pn.color;for(Ki=0;Ki<ta.length;++Ki)ta[Ki].resize(kn);for(Ki=0;Ki<6;++Ki)Ni[Ki].resize(kn);return pn.width=pn.height=kn,pn}return pn(Vi),e(pn,{faces:Ni,resize:Vn,_reglType:\"framebufferCube\",destroy:function(){Ni.forEach(function(na){na.destroy()})}})}function Ji(){Gr.cur=null,Gr.next=null,Gr.dirty=!0,dt(ci).forEach(function(Vi){Vi.framebuffer=Me.createFramebuffer(),hi(Vi)})}return e(Gr,{getFramebuffer:function(Vi){if(typeof Vi==\"function\"&&Vi._reglType===\"framebuffer\"){var Ni=Vi._framebuffer;if(Ni instanceof an)return Ni}return null},create:li,createCube:mn,clear:function(){dt(ci).forEach(Bn)},restore:Ji})}var Hh=5126,If=34962,Cs=34963;function du(){this.state=0,this.x=0,this.y=0,this.z=0,this.w=0,this.buffer=null,this.size=0,this.normalized=!1,this.type=Hh,this.offset=0,this.stride=0,this.divisor=0}function ku(Me,bt,zt,Rr,jr,Nr,Gr){for(var mi=zt.maxAttributes,Ui=new Array(mi),qi=0;qi<mi;++qi)Ui[qi]=new du;var Ei=0,Hn={},en={Record:du,scope:{},state:Ui,currentVAO:null,targetVAO:null,restore:si()?Zi:function(){},createVAO:Bn,getVAO:Yr,destroyBuffer:Wi,setVAO:si()?xi:Ri,clear:si()?ci:function(){}};function Wi(hi){for(var li=0;li<Ui.length;++li){var mn=Ui[li];mn.buffer===hi&&(Me.disableVertexAttribArray(li),mn.buffer=null)}}function si(){return bt.oes_vertex_array_object}function Mr(){return bt.angle_instanced_arrays}function Yr(hi){return typeof hi==\"function\"&&hi._vao?hi._vao:null}function xi(hi){if(hi!==en.currentVAO){var li=si();hi?li.bindVertexArrayOES(hi.vao):li.bindVertexArrayOES(null),en.currentVAO=hi}}function Ri(hi){if(hi!==en.currentVAO){if(hi)hi.bindAttrs();else{for(var li=Mr(),mn=0;mn<Ui.length;++mn){var Ji=Ui[mn];Ji.buffer?(Me.enableVertexAttribArray(mn),Ji.buffer.bind(),Me.vertexAttribPointer(mn,Ji.size,Ji.type,Ji.normalized,Ji.stride,Ji.offfset),li&&Ji.divisor&&li.vertexAttribDivisorANGLE(mn,Ji.divisor)):(Me.disableVertexAttribArray(mn),Me.vertexAttrib4f(mn,Ji.x,Ji.y,Ji.z,Ji.w))}Gr.elements?Me.bindBuffer(Cs,Gr.elements.buffer.buffer):Me.bindBuffer(Cs,null)}en.currentVAO=hi}}function ci(){dt(Hn).forEach(function(hi){hi.destroy()})}function an(){this.id=++Ei,this.attributes=[],this.elements=null,this.ownsElements=!1,this.count=0,this.offset=0,this.instances=-1,this.primitive=4;var hi=si();hi?this.vao=hi.createVertexArrayOES():this.vao=null,Hn[this.id]=this,this.buffers=[]}an.prototype.bindAttrs=function(){for(var hi=Mr(),li=this.attributes,mn=0;mn<li.length;++mn){var Ji=li[mn];Ji.buffer?(Me.enableVertexAttribArray(mn),Me.bindBuffer(If,Ji.buffer.buffer),Me.vertexAttribPointer(mn,Ji.size,Ji.type,Ji.normalized,Ji.stride,Ji.offset),hi&&Ji.divisor&&hi.vertexAttribDivisorANGLE(mn,Ji.divisor)):(Me.disableVertexAttribArray(mn),Me.vertexAttrib4f(mn,Ji.x,Ji.y,Ji.z,Ji.w))}for(var Vi=li.length;Vi<mi;++Vi)Me.disableVertexAttribArray(Vi);var Ni=Nr.getElements(this.elements);Ni?Me.bindBuffer(Cs,Ni.buffer.buffer):Me.bindBuffer(Cs,null)},an.prototype.refresh=function(){var hi=si();hi&&(hi.bindVertexArrayOES(this.vao),this.bindAttrs(),en.currentVAO=null,hi.bindVertexArrayOES(null))},an.prototype.destroy=function(){if(this.vao){var hi=si();this===en.currentVAO&&(en.currentVAO=null,hi.bindVertexArrayOES(null)),hi.deleteVertexArrayOES(this.vao),this.vao=null}this.ownsElements&&(this.elements.destroy(),this.elements=null,this.ownsElements=!1),Hn[this.id]&&(delete Hn[this.id],Rr.vaoCount-=1)};function Zi(){var hi=si();hi&&dt(Hn).forEach(function(li){li.refresh()})}function Bn(hi){var li=new an;Rr.vaoCount+=1;function mn(Ji){var Vi;if(Array.isArray(Ji))Vi=Ji,li.elements&&li.ownsElements&&li.elements.destroy(),li.elements=null,li.ownsElements=!1,li.offset=0,li.count=0,li.instances=-1,li.primitive=4;else{if(Ji.elements){var Ni=Ji.elements;li.ownsElements?typeof Ni==\"function\"&&Ni._reglType===\"elements\"?(li.elements.destroy(),li.ownsElements=!1):(li.elements(Ni),li.ownsElements=!1):Nr.getElements(Ji.elements)?(li.elements=Ji.elements,li.ownsElements=!1):(li.elements=Nr.create(Ji.elements),li.ownsElements=!0)}else li.elements=null,li.ownsElements=!1;Vi=Ji.attributes,li.offset=0,li.count=-1,li.instances=-1,li.primitive=4,li.elements&&(li.count=li.elements._elements.vertCount,li.primitive=li.elements._elements.primType),\"offset\"in Ji&&(li.offset=Ji.offset|0),\"count\"in Ji&&(li.count=Ji.count|0),\"instances\"in Ji&&(li.instances=Ji.instances|0),\"primitive\"in Ji&&(li.primitive=Sn[Ji.primitive])}var pn={},Vn=li.attributes;Vn.length=Vi.length;for(var na=0;na<Vi.length;++na){var Ki=Vi[na],kn=Vn[na]=new du,ta=Ki.data||Ki;if(Array.isArray(ta)||Br(ta)||Vr(ta)){var oa;li.buffers[na]&&(oa=li.buffers[na],Br(ta)&&oa._buffer.byteLength>=ta.byteLength?oa.subdata(ta):(oa.destroy(),li.buffers[na]=null)),li.buffers[na]||(oa=li.buffers[na]=jr.create(Ki,If,!1,!0)),kn.buffer=jr.getBuffer(oa),kn.size=kn.buffer.dimension|0,kn.normalized=!1,kn.type=kn.buffer.dtype,kn.offset=0,kn.stride=0,kn.divisor=0,kn.state=1,pn[na]=1}else jr.getBuffer(Ki)?(kn.buffer=jr.getBuffer(Ki),kn.size=kn.buffer.dimension|0,kn.normalized=!1,kn.type=kn.buffer.dtype,kn.offset=0,kn.stride=0,kn.divisor=0,kn.state=1):jr.getBuffer(Ki.buffer)?(kn.buffer=jr.getBuffer(Ki.buffer),kn.size=(+Ki.size||kn.buffer.dimension)|0,kn.normalized=!!Ki.normalized||!1,\"type\"in Ki?kn.type=ji[Ki.type]:kn.type=kn.buffer.dtype,kn.offset=(Ki.offset||0)|0,kn.stride=(Ki.stride||0)|0,kn.divisor=(Ki.divisor||0)|0,kn.state=1):\"x\"in Ki&&(kn.x=+Ki.x||0,kn.y=+Ki.y||0,kn.z=+Ki.z||0,kn.w=+Ki.w||0,kn.state=2)}for(var ba=0;ba<li.buffers.length;++ba)!pn[ba]&&li.buffers[ba]&&(li.buffers[ba].destroy(),li.buffers[ba]=null);return li.refresh(),mn}return mn.destroy=function(){for(var Ji=0;Ji<li.buffers.length;++Ji)li.buffers[Ji]&&li.buffers[Ji].destroy();li.buffers.length=0,li.ownsElements&&(li.elements.destroy(),li.elements=null,li.ownsElements=!1),li.destroy()},mn._vao=li,mn._reglType=\"vao\",mn(hi)}return en}var Wf=35632,Us=35633,wf=35718,zc=35721;function Wu(Me,bt,zt,Rr){var jr={},Nr={};function Gr(Mr,Yr,xi,Ri){this.name=Mr,this.id=Yr,this.location=xi,this.info=Ri}function mi(Mr,Yr){for(var xi=0;xi<Mr.length;++xi)if(Mr[xi].id===Yr.id){Mr[xi].location=Yr.location;return}Mr.push(Yr)}function Ui(Mr,Yr,xi){var Ri=Mr===Wf?jr:Nr,ci=Ri[Yr];if(!ci){var an=bt.str(Yr);ci=Me.createShader(Mr),Me.shaderSource(ci,an),Me.compileShader(ci),Ri[Yr]=ci}return ci}var qi={},Ei=[],Hn=0;function en(Mr,Yr){this.id=Hn++,this.fragId=Mr,this.vertId=Yr,this.program=null,this.uniforms=[],this.attributes=[],this.refCount=1,Rr.profile&&(this.stats={uniformsCount:0,attributesCount:0})}function Wi(Mr,Yr,xi){var Ri,ci,an=Ui(Wf,Mr.fragId),Zi=Ui(Us,Mr.vertId),Bn=Mr.program=Me.createProgram();if(Me.attachShader(Bn,an),Me.attachShader(Bn,Zi),xi)for(Ri=0;Ri<xi.length;++Ri){var hi=xi[Ri];Me.bindAttribLocation(Bn,hi[0],hi[1])}Me.linkProgram(Bn);var li=Me.getProgramParameter(Bn,wf);Rr.profile&&(Mr.stats.uniformsCount=li);var mn=Mr.uniforms;for(Ri=0;Ri<li;++Ri)if(ci=Me.getActiveUniform(Bn,Ri),ci)if(ci.size>1)for(var Ji=0;Ji<ci.size;++Ji){var Vi=ci.name.replace(\"[0]\",\"[\"+Ji+\"]\");mi(mn,new Gr(Vi,bt.id(Vi),Me.getUniformLocation(Bn,Vi),ci))}else mi(mn,new Gr(ci.name,bt.id(ci.name),Me.getUniformLocation(Bn,ci.name),ci));var Ni=Me.getProgramParameter(Bn,zc);Rr.profile&&(Mr.stats.attributesCount=Ni);var pn=Mr.attributes;for(Ri=0;Ri<Ni;++Ri)ci=Me.getActiveAttrib(Bn,Ri),ci&&mi(pn,new Gr(ci.name,bt.id(ci.name),Me.getAttribLocation(Bn,ci.name),ci))}Rr.profile&&(zt.getMaxUniformsCount=function(){var Mr=0;return Ei.forEach(function(Yr){Yr.stats.uniformsCount>Mr&&(Mr=Yr.stats.uniformsCount)}),Mr},zt.getMaxAttributesCount=function(){var Mr=0;return Ei.forEach(function(Yr){Yr.stats.attributesCount>Mr&&(Mr=Yr.stats.attributesCount)}),Mr});function si(){jr={},Nr={};for(var Mr=0;Mr<Ei.length;++Mr)Wi(Ei[Mr],null,Ei[Mr].attributes.map(function(Yr){return[Yr.location,Yr.name]}))}return{clear:function(){var Mr=Me.deleteShader.bind(Me);dt(jr).forEach(Mr),jr={},dt(Nr).forEach(Mr),Nr={},Ei.forEach(function(Yr){Me.deleteProgram(Yr.program)}),Ei.length=0,qi={},zt.shaderCount=0},program:function(Mr,Yr,xi,Ri){var ci=qi[Yr];ci||(ci=qi[Yr]={});var an=ci[Mr];if(an&&(an.refCount++,!Ri))return an;var Zi=new en(Yr,Mr);return zt.shaderCount++,Wi(Zi,xi,Ri),an||(ci[Mr]=Zi),Ei.push(Zi),e(Zi,{destroy:function(){if(Zi.refCount--,Zi.refCount<=0){Me.deleteProgram(Zi.program);var Bn=Ei.indexOf(Zi);Ei.splice(Bn,1),zt.shaderCount--}ci[Zi.vertId].refCount<=0&&(Me.deleteShader(Nr[Zi.vertId]),delete Nr[Zi.vertId],delete qi[Zi.fragId][Zi.vertId]),Object.keys(qi[Zi.fragId]).length||(Me.deleteShader(jr[Zi.fragId]),delete jr[Zi.fragId],delete qi[Zi.fragId])}})},restore:si,shader:Ui,frag:-1,vert:-1}}var Rf=6408,Xu=5121,uf=3333,Xf=5126;function Wl(Me,bt,zt,Rr,jr,Nr,Gr){function mi(Ei){var Hn;bt.next===null?Hn=Xu:Hn=bt.next.colorAttachments[0].texture._texture.type;var en=0,Wi=0,si=Rr.framebufferWidth,Mr=Rr.framebufferHeight,Yr=null;Br(Ei)?Yr=Ei:Ei&&(en=Ei.x|0,Wi=Ei.y|0,si=(Ei.width||Rr.framebufferWidth-en)|0,Mr=(Ei.height||Rr.framebufferHeight-Wi)|0,Yr=Ei.data||null),zt();var xi=si*Mr*4;return Yr||(Hn===Xu?Yr=new Uint8Array(xi):Hn===Xf&&(Yr=Yr||new Float32Array(xi))),Me.pixelStorei(uf,4),Me.readPixels(en,Wi,si,Mr,Rf,Hn,Yr),Yr}function Ui(Ei){var Hn;return bt.setFBO({framebuffer:Ei.framebuffer},function(){Hn=mi(Ei)}),Hn}function qi(Ei){return!Ei||!(\"framebuffer\"in Ei)?mi(Ei):Ui(Ei)}return qi}var ah=0,Zu=\"\";function Oc(Me){return vu(Tc(fc(Me)))}function Tc(Me){return At(Yi(Bc(Me),Me.length*8))}function wl(Me,bt){var zt=Bc(Me);zt.length>16&&(zt=Yi(zt,Me.length*8));for(var Rr=Array(16),jr=Array(16),Nr=0;Nr<16;Nr++)Rr[Nr]=zt[Nr]^909522486,jr[Nr]=zt[Nr]^1549556828;var Gr=Yi(Rr.concat(Bc(bt)),512+bt.length*8);return At(Yi(jr.concat(Gr),768))}function vu(Me){for(var bt=ah?\"0123456789ABCDEF\":\"0123456789abcdef\",zt=\"\",Rr,jr=0;jr<Me.length;jr++)Rr=Me.charCodeAt(jr),zt+=bt.charAt(Rr>>>4&15)+bt.charAt(Rr&15);return zt}function qc(Me){for(var bt=\"ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/\",zt=\"\",Rr=Me.length,jr=0;jr<Rr;jr+=3)for(var Nr=Me.charCodeAt(jr)<<16|(jr+1<Rr?Me.charCodeAt(jr+1)<<8:0)|(jr+2<Rr?Me.charCodeAt(jr+2):0),Gr=0;Gr<4;Gr++)jr*8+Gr*6>Me.length*8?zt+=Zu:zt+=bt.charAt(Nr>>>6*(3-Gr)&63);return zt}function cf(Me,bt){var zt=bt.length,Rr=Array(),jr,Nr,Gr,mi,Ui=Array(Math.ceil(Me.length/2));for(jr=0;jr<Ui.length;jr++)Ui[jr]=Me.charCodeAt(jr*2)<<8|Me.charCodeAt(jr*2+1);for(;Ui.length>0;){for(mi=Array(),Gr=0,jr=0;jr<Ui.length;jr++)Gr=(Gr<<16)+Ui[jr],Nr=Math.floor(Gr/zt),Gr-=Nr*zt,(mi.length>0||Nr>0)&&(mi[mi.length]=Nr);Rr[Rr.length]=Gr,Ui=mi}var qi=\"\";for(jr=Rr.length-1;jr>=0;jr--)qi+=bt.charAt(Rr[jr]);var Ei=Math.ceil(Me.length*8/(Math.log(bt.length)/Math.log(2)));for(jr=qi.length;jr<Ei;jr++)qi=bt[0]+qi;return qi}function fc(Me){for(var bt=\"\",zt=-1,Rr,jr;++zt<Me.length;)Rr=Me.charCodeAt(zt),jr=zt+1<Me.length?Me.charCodeAt(zt+1):0,55296<=Rr&&Rr<=56319&&56320<=jr&&jr<=57343&&(Rr=65536+((Rr&1023)<<10)+(jr&1023),zt++),Rr<=127?bt+=String.fromCharCode(Rr):Rr<=2047?bt+=String.fromCharCode(192|Rr>>>6&31,128|Rr&63):Rr<=65535?bt+=String.fromCharCode(224|Rr>>>12&15,128|Rr>>>6&63,128|Rr&63):Rr<=2097151&&(bt+=String.fromCharCode(240|Rr>>>18&7,128|Rr>>>12&63,128|Rr>>>6&63,128|Rr&63));return bt}function Bc(Me){for(var bt=Array(Me.length>>2),zt=0;zt<bt.length;zt++)bt[zt]=0;for(var zt=0;zt<Me.length*8;zt+=8)bt[zt>>5]|=(Me.charCodeAt(zt/8)&255)<<24-zt%32;return bt}function At(Me){for(var bt=\"\",zt=0;zt<Me.length*32;zt+=8)bt+=String.fromCharCode(Me[zt>>5]>>>24-zt%32&255);return bt}function Wt(Me,bt){return Me>>>bt|Me<<32-bt}function Cr(Me,bt){return Me>>>bt}function Ar(Me,bt,zt){return Me&bt^~Me&zt}function Kr(Me,bt,zt){return Me&bt^Me&zt^bt&zt}function ki(Me){return Wt(Me,2)^Wt(Me,13)^Wt(Me,22)}function 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ei(!1,!1,!1,Me)}function Un(Me,bt){var zt=Me.type;if(zt===Yn){var Rr=Me.data.length;return new ei(!0,Rr>=1,Rr>=2,bt)}else if(zt===Xo){var jr=Me.data;return new ei(jr.thisDep,jr.contextDep,jr.propDep,bt)}else{if(zt===Ss)return new ei(!1,!1,!1,bt);if(zt===as){for(var Nr=!1,Gr=!1,mi=!1,Ui=0;Ui<Me.data.length;++Ui){var qi=Me.data[Ui];if(qi.type===Dn)mi=!0;else if(qi.type===Ka)Gr=!0;else if(qi.type===bo)Nr=!0;else if(qi.type===Yn){Nr=!0;var Ei=qi.data;Ei>=1&&(Gr=!0),Ei>=2&&(mi=!0)}else qi.type===Xo&&(Nr=Nr||qi.data.thisDep,Gr=Gr||qi.data.contextDep,mi=mi||qi.data.propDep)}return new ei(Nr,Gr,mi,bt)}else return new ei(zt===bo,zt===Ka,zt===Dn,bt)}}var ia=new ei(!1,!1,!1,function(){});function Ea(Me,bt,zt,Rr,jr,Nr,Gr,mi,Ui,qi,Ei,Hn,en,Wi,si,Mr){var Yr=qi.Record,xi={add:32774,subtract:32778,\"reverse subtract\":32779};zt.ext_blend_minmax&&(xi.min=He,xi.max=Ye);var Ri=zt.angle_instanced_arrays,ci=zt.webgl_draw_buffers,an=zt.oes_vertex_array_object,Zi={dirty:!0,profile:Mr.profile},Bn={},hi=[],li={},mn={};function Ji(Ve){return Ve.replace(\".\",\"_\")}function Vi(Ve,Qe,at){var Ct=Ji(Ve);hi.push(Ve),Bn[Ct]=Zi[Ct]=!!at,li[Ct]=Qe}function Ni(Ve,Qe,at){var Ct=Ji(Ve);hi.push(Ve),Array.isArray(at)?(Zi[Ct]=at.slice(),Bn[Ct]=at.slice()):Zi[Ct]=Bn[Ct]=at,mn[Ct]=Qe}function pn(Ve){return!!isNaN(Ve)}Vi(ws,Pi),Vi(Ho,ni),Ni(ml,\"blendColor\",[0,0,0,0]),Ni(Ws,\"blendEquationSeparate\",[yr,yr]),Ni(Ls,\"blendFuncSeparate\",[gr,jt,gr,jt]),Vi(va,ln,!0),Ni(no,\"depthFunc\",Hr),Ni(ys,\"depthRange\",[0,1]),Ni(rs,\"depthMask\",!0),Ni($l,$l,[!0,!0,!0,!0]),Vi(Cu,Wr),Ni(Yu,\"cullFace\",se),Ni(Nc,Nc,Ne),Ni(pu,pu,1),Vi(Uc,Kn),Ni(xu,\"polygonOffset\",[0,0]),Vi(Ac,Ta),Vi(Ua,fa),Ni(oo,\"sampleCoverage\",[1,!1]),Vi(Vc,cn),Ni(hc,\"stencilMask\",-1),Ni(Ku,\"stencilFunc\",[kt,0,-1]),Ni(ue,\"stencilOpSeparate\",[X,nt,nt,nt]),Ni(w,\"stencilOpSeparate\",[se,nt,nt,nt]),Vi(B,Cn),Ni(Q,\"scissor\",[0,0,Me.drawingBufferWidth,Me.drawingBufferHeight]),Ni(ee,ee,[0,0,Me.drawingBufferWidth,Me.drawingBufferHeight]);var Vn={gl:Me,context:en,strings:bt,next:Bn,current:Zi,draw:Hn,elements:Nr,buffer:jr,shader:Ei,attributes:qi.state,vao:qi,uniforms:Ui,framebuffer:mi,extensions:zt,timer:Wi,isBufferArgs:Ii},na={primTypes:Sn,compareFuncs:Zr,blendFuncs:bi,blendEquations:xi,stencilOps:ai,glTypes:ji,orientationType:gi};ci&&(na.backBuffer=[se],na.drawBuffer=M(Rr.maxDrawbuffers,function(Ve){return Ve===0?[0]:M(Ve,function(Qe){return _i+Qe})}));var Ki=0;function kn(){var Ve=$n({cache:si}),Qe=Ve.link,at=Ve.global;Ve.id=Ki++,Ve.batchId=\"0\";var Ct=Qe(Vn),Ot=Ve.shared={props:\"a0\"};Object.keys(Vn).forEach(function(Pt){Ot[Pt]=at.def(Ct,\".\",Pt)});var Rt=Ve.next={},Bt=Ve.current={};Object.keys(mn).forEach(function(Pt){Array.isArray(Zi[Pt])&&(Rt[Pt]=at.def(Ot.next,\".\",Pt),Bt[Pt]=at.def(Ot.current,\".\",Pt))});var Dt=Ve.constants={};Object.keys(na).forEach(function(Pt){Dt[Pt]=at.def(JSON.stringify(na[Pt]))}),Ve.invoke=function(Pt,ht){switch(ht.type){case Yn:var ur=[\"this\",Ot.context,Ot.props,Ve.batchId];return Pt.def(Qe(ht.data),\".call(\",ur.slice(0,Math.max(ht.data.length+1,4)),\")\");case Dn:return Pt.def(Ot.props,ht.data);case Ka:return Pt.def(Ot.context,ht.data);case bo:return Pt.def(\"this\",ht.data);case Xo:return ht.data.append(Ve,Pt),ht.data.ref;case Ss:return ht.data.toString();case as:return ht.data.map(function(br){return Ve.invoke(Pt,br)})}},Ve.attribCache={};var yt={};return Ve.scopeAttrib=function(Pt){var ht=bt.id(Pt);if(ht in yt)return yt[ht];var ur=qi.scope[ht];ur||(ur=qi.scope[ht]=new Yr);var br=yt[ht]=Qe(ur);return br},Ve}function ta(Ve){var Qe=Ve.static,at=Ve.dynamic,Ct;if(le in Qe){var Ot=!!Qe[le];Ct=En(function(Bt,Dt){return Ot}),Ct.enable=Ot}else if(le in at){var Rt=at[le];Ct=Un(Rt,function(Bt,Dt){return Bt.invoke(Dt,Rt)})}return Ct}function oa(Ve,Qe){var at=Ve.static,Ct=Ve.dynamic;if(qe in at){var Ot=at[qe];return Ot?(Ot=mi.getFramebuffer(Ot),En(function(Bt,Dt){var yt=Bt.link(Ot),Pt=Bt.shared;Dt.set(Pt.framebuffer,\".next\",yt);var ht=Pt.context;return Dt.set(ht,\".\"+Be,yt+\".width\"),Dt.set(ht,\".\"+et,yt+\".height\"),yt})):En(function(Bt,Dt){var yt=Bt.shared;Dt.set(yt.framebuffer,\".next\",\"null\");var Pt=yt.context;return Dt.set(Pt,\".\"+Be,Pt+\".\"+Ht),Dt.set(Pt,\".\"+et,Pt+\".\"+tr),\"null\"})}else if(qe in Ct){var Rt=Ct[qe];return Un(Rt,function(Bt,Dt){var yt=Bt.invoke(Dt,Rt),Pt=Bt.shared,ht=Pt.framebuffer,ur=Dt.def(ht,\".getFramebuffer(\",yt,\")\");Dt.set(ht,\".next\",ur);var br=Pt.context;return Dt.set(br,\".\"+Be,ur+\"?\"+ur+\".width:\"+br+\".\"+Ht),Dt.set(br,\".\"+et,ur+\"?\"+ur+\".height:\"+br+\".\"+tr),ur})}else return null}function ba(Ve,Qe,at){var Ct=Ve.static,Ot=Ve.dynamic;function Rt(yt){if(yt in Ct){var Pt=Ct[yt],ht=!0,ur=Pt.x|0,br=Pt.y|0,Ur,Di;return\"width\"in Pt?Ur=Pt.width|0:ht=!1,\"height\"in Pt?Di=Pt.height|0:ht=!1,new ei(!ht&&Qe&&Qe.thisDep,!ht&&Qe&&Qe.contextDep,!ht&&Qe&&Qe.propDep,function(gn,rn){var Ci=gn.shared.context,Bi=Ur;\"width\"in Pt||(Bi=rn.def(Ci,\".\",Be,\"-\",ur));var Gi=Di;return\"height\"in Pt||(Gi=rn.def(Ci,\".\",et,\"-\",br)),[ur,br,Bi,Gi]})}else if(yt in Ot){var fi=Ot[yt],Ti=Un(fi,function(gn,rn){var Ci=gn.invoke(rn,fi),Bi=gn.shared.context,Gi=rn.def(Ci,\".x|0\"),sn=rn.def(Ci,\".y|0\"),zn=rn.def('\"width\" in ',Ci,\"?\",Ci,\".width|0:\",\"(\",Bi,\".\",Be,\"-\",Gi,\")\"),Ja=rn.def('\"height\" in ',Ci,\"?\",Ci,\".height|0:\",\"(\",Bi,\".\",et,\"-\",sn,\")\");return[Gi,sn,zn,Ja]});return Qe&&(Ti.thisDep=Ti.thisDep||Qe.thisDep,Ti.contextDep=Ti.contextDep||Qe.contextDep,Ti.propDep=Ti.propDep||Qe.propDep),Ti}else return Qe?new ei(Qe.thisDep,Qe.contextDep,Qe.propDep,function(gn,rn){var Ci=gn.shared.context;return[0,0,rn.def(Ci,\".\",Be),rn.def(Ci,\".\",et)]}):null}var Bt=Rt(ee);if(Bt){var Dt=Bt;Bt=new ei(Bt.thisDep,Bt.contextDep,Bt.propDep,function(yt,Pt){var ht=Dt.append(yt,Pt),ur=yt.shared.context;return Pt.set(ur,\".\"+We,ht[2]),Pt.set(ur,\".\"+it,ht[3]),ht})}return{viewport:Bt,scissor_box:Rt(Q)}}function is(Ve,Qe){var at=Ve.static,Ct=typeof at[ot]==\"string\"&&typeof at[Xe]==\"string\";if(Ct){if(Object.keys(Qe.dynamic).length>0)return null;var Ot=Qe.static,Rt=Object.keys(Ot);if(Rt.length>0&&typeof Ot[Rt[0]]==\"number\"){for(var Bt=[],Dt=0;Dt<Rt.length;++Dt)Bt.push([Ot[Rt[Dt]]|0,Rt[Dt]]);return Bt}}return null}function Zs(Ve,Qe,at){var Ct=Ve.static,Ot=Ve.dynamic;function Rt(ht){if(ht in Ct){var ur=bt.id(Ct[ht]),br=En(function(){return ur});return br.id=ur,br}else if(ht in Ot){var Ur=Ot[ht];return Un(Ur,function(Di,fi){var Ti=Di.invoke(fi,Ur),gn=fi.def(Di.shared.strings,\".id(\",Ti,\")\");return gn})}return null}var Bt=Rt(ot),Dt=Rt(Xe),yt=null,Pt;return Ln(Bt)&&Ln(Dt)?(yt=Ei.program(Dt.id,Bt.id,null,at),Pt=En(function(ht,ur){return ht.link(yt)})):Pt=new ei(Bt&&Bt.thisDep||Dt&&Dt.thisDep,Bt&&Bt.contextDep||Dt&&Dt.contextDep,Bt&&Bt.propDep||Dt&&Dt.propDep,function(ht,ur){var br=ht.shared.shader,Ur;Bt?Ur=Bt.append(ht,ur):Ur=ur.def(br,\".\",ot);var Di;Dt?Di=Dt.append(ht,ur):Di=ur.def(br,\".\",Xe);var fi=br+\".program(\"+Di+\",\"+Ur;return ur.def(fi+\")\")}),{frag:Bt,vert:Dt,progVar:Pt,program:yt}}function Va(Ve,Qe){var at=Ve.static,Ct=Ve.dynamic,Ot={},Rt=!1;function Bt(){if(ve in at){var rn=at[ve];return rn!==null&&qi.getVAO(rn)===null&&(rn=qi.createVAO(rn)),Rt=!0,Ot.vao=rn,En(function(Bi){var Gi=qi.getVAO(rn);return Gi?Bi.link(Gi):\"null\"})}else if(ve in Ct){Rt=!0;var Ci=Ct[ve];return Un(Ci,function(Bi,Gi){var sn=Bi.invoke(Gi,Ci);return Gi.def(Bi.shared.vao+\".getVAO(\"+sn+\")\")})}return null}var Dt=Bt(),yt=!1;function Pt(){if(Tt in at){var rn=at[Tt];if(Ot.elements=rn,Ii(rn)){var Ci=Ot.elements=Nr.create(rn,!0);rn=Nr.getElements(Ci),yt=!0}else rn&&(rn=Nr.getElements(rn),yt=!0);var Bi=En(function(sn,zn){if(rn){var Ja=sn.link(rn);return sn.ELEMENTS=Ja,Ja}return sn.ELEMENTS=null,null});return Bi.value=rn,Bi}else if(Tt in Ct){yt=!0;var Gi=Ct[Tt];return Un(Gi,function(sn,zn){var Ja=sn.shared,co=Ja.isBufferArgs,ts=Ja.elements,so=sn.invoke(zn,Gi),Zo=zn.def(\"null\"),ms=zn.def(co,\"(\",so,\")\"),ou=sn.cond(ms).then(Zo,\"=\",ts,\".createStream(\",so,\");\").else(Zo,\"=\",ts,\".getElements(\",so,\");\");return zn.entry(ou),zn.exit(sn.cond(ms).then(ts,\".destroyStream(\",Zo,\");\")),sn.ELEMENTS=Zo,Zo})}else if(Rt)return new ei(Dt.thisDep,Dt.contextDep,Dt.propDep,function(sn,zn){return zn.def(sn.shared.vao+\".currentVAO?\"+sn.shared.elements+\".getElements(\"+sn.shared.vao+\".currentVAO.elements):null\")});return null}var ht=Pt();function ur(){if(Yt in at){var rn=at[Yt];return Ot.primitive=rn,En(function(Bi,Gi){return Sn[rn]})}else if(Yt in Ct){var Ci=Ct[Yt];return Un(Ci,function(Bi,Gi){var sn=Bi.constants.primTypes,zn=Bi.invoke(Gi,Ci);return Gi.def(sn,\"[\",zn,\"]\")})}else{if(yt)return Ln(ht)?ht.value?En(function(Bi,Gi){return Gi.def(Bi.ELEMENTS,\".primType\")}):En(function(){return Al}):new ei(ht.thisDep,ht.contextDep,ht.propDep,function(Bi,Gi){var sn=Bi.ELEMENTS;return Gi.def(sn,\"?\",sn,\".primType:\",Al)});if(Rt)return new ei(Dt.thisDep,Dt.contextDep,Dt.propDep,function(Bi,Gi){return Gi.def(Bi.shared.vao+\".currentVAO?\"+Bi.shared.vao+\".currentVAO.primitive:\"+Al)})}return null}function br(rn,Ci){if(rn in at){var Bi=at[rn]|0;return Ci?Ot.offset=Bi:Ot.instances=Bi,En(function(sn,zn){return Ci&&(sn.OFFSET=Bi),Bi})}else if(rn in Ct){var Gi=Ct[rn];return Un(Gi,function(sn,zn){var Ja=sn.invoke(zn,Gi);return Ci&&(sn.OFFSET=Ja),Ja})}else if(Ci){if(yt)return En(function(sn,zn){return sn.OFFSET=0,0});if(Rt)return new ei(Dt.thisDep,Dt.contextDep,Dt.propDep,function(sn,zn){return zn.def(sn.shared.vao+\".currentVAO?\"+sn.shared.vao+\".currentVAO.offset:0\")})}else if(Rt)return new ei(Dt.thisDep,Dt.contextDep,Dt.propDep,function(sn,zn){return zn.def(sn.shared.vao+\".currentVAO?\"+sn.shared.vao+\".currentVAO.instances:-1\")});return null}var Ur=br(xr,!0);function Di(){if(Kt in at){var rn=at[Kt]|0;return Ot.count=rn,En(function(){return rn})}else if(Kt in Ct){var Ci=Ct[Kt];return Un(Ci,function(zn,Ja){var co=zn.invoke(Ja,Ci);return co})}else if(yt)if(Ln(ht)){if(ht)return Ur?new ei(Ur.thisDep,Ur.contextDep,Ur.propDep,function(zn,Ja){var co=Ja.def(zn.ELEMENTS,\".vertCount-\",zn.OFFSET);return co}):En(function(zn,Ja){return Ja.def(zn.ELEMENTS,\".vertCount\")});var Bi=En(function(){return-1});return Bi}else{var Gi=new ei(ht.thisDep||Ur.thisDep,ht.contextDep||Ur.contextDep,ht.propDep||Ur.propDep,function(zn,Ja){var co=zn.ELEMENTS;return zn.OFFSET?Ja.def(co,\"?\",co,\".vertCount-\",zn.OFFSET,\":-1\"):Ja.def(co,\"?\",co,\".vertCount:-1\")});return Gi}else if(Rt){var sn=new ei(Dt.thisDep,Dt.contextDep,Dt.propDep,function(zn,Ja){return Ja.def(zn.shared.vao,\".currentVAO?\",zn.shared.vao,\".currentVAO.count:-1\")});return sn}return null}var fi=ur(),Ti=Di(),gn=br(Ir,!1);return{elements:ht,primitive:fi,count:Ti,instances:gn,offset:Ur,vao:Dt,vaoActive:Rt,elementsActive:yt,static:Ot}}function Ml(Ve,Qe){var at=Ve.static,Ct=Ve.dynamic,Ot={};return hi.forEach(function(Rt){var Bt=Ji(Rt);function Dt(yt,Pt){if(Rt in at){var ht=yt(at[Rt]);Ot[Bt]=En(function(){return ht})}else if(Rt in Ct){var ur=Ct[Rt];Ot[Bt]=Un(ur,function(br,Ur){return Pt(br,Ur,br.invoke(Ur,ur))})}}switch(Rt){case Cu:case Ho:case ws:case Vc:case va:case B:case Uc:case Ac:case Ua:case rs:return Dt(function(yt){return yt},function(yt,Pt,ht){return ht});case no:return Dt(function(yt){return Zr[yt]},function(yt,Pt,ht){var ur=yt.constants.compareFuncs;return Pt.def(ur,\"[\",ht,\"]\")});case ys:return Dt(function(yt){return yt},function(yt,Pt,ht){var ur=Pt.def(\"+\",ht,\"[0]\"),br=Pt.def(\"+\",ht,\"[1]\");return[ur,br]});case Ls:return Dt(function(yt){var Pt=\"srcRGB\"in yt?yt.srcRGB:yt.src,ht=\"srcAlpha\"in yt?yt.srcAlpha:yt.src,ur=\"dstRGB\"in yt?yt.dstRGB:yt.dst,br=\"dstAlpha\"in yt?yt.dstAlpha:yt.dst;return[bi[Pt],bi[ur],bi[ht],bi[br]]},function(yt,Pt,ht){var ur=yt.constants.blendFuncs;function br(Ci,Bi){var Gi=Pt.def('\"',Ci,Bi,'\" in ',ht,\"?\",ht,\".\",Ci,Bi,\":\",ht,\".\",Ci);return Gi}var Ur=br(\"src\",\"RGB\"),Di=br(\"dst\",\"RGB\"),fi=Pt.def(ur,\"[\",Ur,\"]\"),Ti=Pt.def(ur,\"[\",br(\"src\",\"Alpha\"),\"]\"),gn=Pt.def(ur,\"[\",Di,\"]\"),rn=Pt.def(ur,\"[\",br(\"dst\",\"Alpha\"),\"]\");return[fi,gn,Ti,rn]});case Ws:return Dt(function(yt){if(typeof yt==\"string\")return[xi[yt],xi[yt]];if(typeof yt==\"object\")return[xi[yt.rgb],xi[yt.alpha]]},function(yt,Pt,ht){var ur=yt.constants.blendEquations,br=Pt.def(),Ur=Pt.def(),Di=yt.cond(\"typeof \",ht,'===\"string\"');return Di.then(br,\"=\",Ur,\"=\",ur,\"[\",ht,\"];\"),Di.else(br,\"=\",ur,\"[\",ht,\".rgb];\",Ur,\"=\",ur,\"[\",ht,\".alpha];\"),Pt(Di),[br,Ur]});case ml:return Dt(function(yt){return M(4,function(Pt){return+yt[Pt]})},function(yt,Pt,ht){return M(4,function(ur){return Pt.def(\"+\",ht,\"[\",ur,\"]\")})});case hc:return Dt(function(yt){return yt|0},function(yt,Pt,ht){return Pt.def(ht,\"|0\")});case Ku:return Dt(function(yt){var Pt=yt.cmp||\"keep\",ht=yt.ref||0,ur=\"mask\"in yt?yt.mask:-1;return[Zr[Pt],ht,ur]},function(yt,Pt,ht){var ur=yt.constants.compareFuncs,br=Pt.def('\"cmp\" in ',ht,\"?\",ur,\"[\",ht,\".cmp]\",\":\",nt),Ur=Pt.def(ht,\".ref|0\"),Di=Pt.def('\"mask\" in ',ht,\"?\",ht,\".mask|0:-1\");return[br,Ur,Di]});case ue:case w:return Dt(function(yt){var Pt=yt.fail||\"keep\",ht=yt.zfail||\"keep\",ur=yt.zpass||\"keep\";return[Rt===w?se:X,ai[Pt],ai[ht],ai[ur]]},function(yt,Pt,ht){var ur=yt.constants.stencilOps;function br(Ur){return Pt.def('\"',Ur,'\" in ',ht,\"?\",ur,\"[\",ht,\".\",Ur,\"]:\",nt)}return[Rt===w?se:X,br(\"fail\"),br(\"zfail\"),br(\"zpass\")]});case xu:return Dt(function(yt){var Pt=yt.factor|0,ht=yt.units|0;return[Pt,ht]},function(yt,Pt,ht){var ur=Pt.def(ht,\".factor|0\"),br=Pt.def(ht,\".units|0\");return[ur,br]});case Yu:return Dt(function(yt){var Pt=0;return yt===\"front\"?Pt=X:yt===\"back\"&&(Pt=se),Pt},function(yt,Pt,ht){return Pt.def(ht,'===\"front\"?',X,\":\",se)});case pu:return Dt(function(yt){return yt},function(yt,Pt,ht){return ht});case Nc:return Dt(function(yt){return gi[yt]},function(yt,Pt,ht){return Pt.def(ht+'===\"cw\"?'+Te+\":\"+Ne)});case $l:return Dt(function(yt){return yt.map(function(Pt){return!!Pt})},function(yt,Pt,ht){return M(4,function(ur){return\"!!\"+ht+\"[\"+ur+\"]\"})});case oo:return Dt(function(yt){var Pt=\"value\"in yt?yt.value:1,ht=!!yt.invert;return[Pt,ht]},function(yt,Pt,ht){var ur=Pt.def('\"value\" in ',ht,\"?+\",ht,\".value:1\"),br=Pt.def(\"!!\",ht,\".invert\");return[ur,br]})}}),Ot}function zo(Ve,Qe){var at=Ve.static,Ct=Ve.dynamic,Ot={};return Object.keys(at).forEach(function(Rt){var Bt=at[Rt],Dt;if(typeof Bt==\"number\"||typeof Bt==\"boolean\")Dt=En(function(){return Bt});else if(typeof Bt==\"function\"){var yt=Bt._reglType;yt===\"texture2d\"||yt===\"textureCube\"?Dt=En(function(Pt){return Pt.link(Bt)}):(yt===\"framebuffer\"||yt===\"framebufferCube\")&&(Dt=En(function(Pt){return Pt.link(Bt.color[0])}))}else Mn(Bt)&&(Dt=En(function(Pt){var ht=Pt.global.def(\"[\",M(Bt.length,function(ur){return Bt[ur]}),\"]\");return ht}));Dt.value=Bt,Ot[Rt]=Dt}),Object.keys(Ct).forEach(function(Rt){var Bt=Ct[Rt];Ot[Rt]=Un(Bt,function(Dt,yt){return Dt.invoke(yt,Bt)})}),Ot}function Qs(Ve,Qe){var at=Ve.static,Ct=Ve.dynamic,Ot={};return Object.keys(at).forEach(function(Rt){var Bt=at[Rt],Dt=bt.id(Rt),yt=new Yr;if(Ii(Bt))yt.state=La,yt.buffer=jr.getBuffer(jr.create(Bt,Sr,!1,!0)),yt.type=0;else{var Pt=jr.getBuffer(Bt);if(Pt)yt.state=La,yt.buffer=Pt,yt.type=0;else if(\"constant\"in Bt){var ht=Bt.constant;yt.buffer=\"null\",yt.state=Na,typeof ht==\"number\"?yt.x=ht:Ca.forEach(function(gn,rn){rn<ht.length&&(yt[gn]=ht[rn])})}else{Ii(Bt.buffer)?Pt=jr.getBuffer(jr.create(Bt.buffer,Sr,!1,!0)):Pt=jr.getBuffer(Bt.buffer);var ur=Bt.offset|0,br=Bt.stride|0,Ur=Bt.size|0,Di=!!Bt.normalized,fi=0;\"type\"in Bt&&(fi=ji[Bt.type]);var Ti=Bt.divisor|0;yt.buffer=Pt,yt.state=La,yt.size=Ur,yt.normalized=Di,yt.type=fi||Pt.dtype,yt.offset=ur,yt.stride=br,yt.divisor=Ti}}Ot[Rt]=En(function(gn,rn){var Ci=gn.attribCache;if(Dt in Ci)return Ci[Dt];var Bi={isStream:!1};return Object.keys(yt).forEach(function(Gi){Bi[Gi]=yt[Gi]}),yt.buffer&&(Bi.buffer=gn.link(yt.buffer),Bi.type=Bi.type||Bi.buffer+\".dtype\"),Ci[Dt]=Bi,Bi})}),Object.keys(Ct).forEach(function(Rt){var Bt=Ct[Rt];function Dt(yt,Pt){var ht=yt.invoke(Pt,Bt),ur=yt.shared,br=yt.constants,Ur=ur.isBufferArgs,Di=ur.buffer,fi={isStream:Pt.def(!1)},Ti=new Yr;Ti.state=La,Object.keys(Ti).forEach(function(Bi){fi[Bi]=Pt.def(\"\"+Ti[Bi])});var gn=fi.buffer,rn=fi.type;Pt(\"if(\",Ur,\"(\",ht,\")){\",fi.isStream,\"=true;\",gn,\"=\",Di,\".createStream(\",Sr,\",\",ht,\");\",rn,\"=\",gn,\".dtype;\",\"}else{\",gn,\"=\",Di,\".getBuffer(\",ht,\");\",\"if(\",gn,\"){\",rn,\"=\",gn,\".dtype;\",'}else if(\"constant\" in ',ht,\"){\",fi.state,\"=\",Na,\";\",\"if(typeof \"+ht+'.constant === \"number\"){',fi[Ca[0]],\"=\",ht,\".constant;\",Ca.slice(1).map(function(Bi){return fi[Bi]}).join(\"=\"),\"=0;\",\"}else{\",Ca.map(function(Bi,Gi){return fi[Bi]+\"=\"+ht+\".constant.length>\"+Gi+\"?\"+ht+\".constant[\"+Gi+\"]:0;\"}).join(\"\"),\"}}else{\",\"if(\",Ur,\"(\",ht,\".buffer)){\",gn,\"=\",Di,\".createStream(\",Sr,\",\",ht,\".buffer);\",\"}else{\",gn,\"=\",Di,\".getBuffer(\",ht,\".buffer);\",\"}\",rn,'=\"type\" in ',ht,\"?\",br.glTypes,\"[\",ht,\".type]:\",gn,\".dtype;\",fi.normalized,\"=!!\",ht,\".normalized;\");function Ci(Bi){Pt(fi[Bi],\"=\",ht,\".\",Bi,\"|0;\")}return Ci(\"size\"),Ci(\"offset\"),Ci(\"stride\"),Ci(\"divisor\"),Pt(\"}}\"),Pt.exit(\"if(\",fi.isStream,\"){\",Di,\".destroyStream(\",gn,\");\",\"}\"),fi}Ot[Rt]=Un(Bt,Dt)}),Ot}function al(Ve){var Qe=Ve.static,at=Ve.dynamic,Ct={};return Object.keys(Qe).forEach(function(Ot){var Rt=Qe[Ot];Ct[Ot]=En(function(Bt,Dt){return typeof Rt==\"number\"||typeof Rt==\"boolean\"?\"\"+Rt:Bt.link(Rt)})}),Object.keys(at).forEach(function(Ot){var Rt=at[Ot];Ct[Ot]=Un(Rt,function(Bt,Dt){return Bt.invoke(Dt,Rt)})}),Ct}function Vl(Ve,Qe,at,Ct,Ot){var Rt=Ve.static,Bt=Ve.dynamic,Dt=is(Ve,Qe),yt=oa(Ve,Ot),Pt=ba(Ve,yt,Ot),ht=Va(Ve,Ot),ur=Ml(Ve,Ot),br=Zs(Ve,Ot,Dt);function Ur(Ci){var Bi=Pt[Ci];Bi&&(ur[Ci]=Bi)}Ur(ee),Ur(Ji(Q));var Di=Object.keys(ur).length>0,fi={framebuffer:yt,draw:ht,shader:br,state:ur,dirty:Di,scopeVAO:null,drawVAO:null,useVAO:!1,attributes:{}};if(fi.profile=ta(Ve,Ot),fi.uniforms=zo(at,Ot),fi.drawVAO=fi.scopeVAO=ht.vao,!fi.drawVAO&&br.program&&!Dt&&zt.angle_instanced_arrays&&ht.static.elements){var Ti=!0,gn=br.program.attributes.map(function(Ci){var Bi=Qe.static[Ci];return Ti=Ti&&!!Bi,Bi});if(Ti&&gn.length>0){var rn=qi.getVAO(qi.createVAO({attributes:gn,elements:ht.static.elements}));fi.drawVAO=new ei(null,null,null,function(Ci,Bi){return Ci.link(rn)}),fi.useVAO=!0}}return Dt?fi.useVAO=!0:fi.attributes=Qs(Qe,Ot),fi.context=al(Ct,Ot),fi}function ss(Ve,Qe,at){var Ct=Ve.shared,Ot=Ct.context,Rt=Ve.scope();Object.keys(at).forEach(function(Bt){Qe.save(Ot,\".\"+Bt);var Dt=at[Bt],yt=Dt.append(Ve,Qe);Array.isArray(yt)?Rt(Ot,\".\",Bt,\"=[\",yt.join(),\"];\"):Rt(Ot,\".\",Bt,\"=\",yt,\";\")}),Qe(Rt)}function Vs(Ve,Qe,at,Ct){var Ot=Ve.shared,Rt=Ot.gl,Bt=Ot.framebuffer,Dt;ci&&(Dt=Qe.def(Ot.extensions,\".webgl_draw_buffers\"));var yt=Ve.constants,Pt=yt.drawBuffer,ht=yt.backBuffer,ur;at?ur=at.append(Ve,Qe):ur=Qe.def(Bt,\".next\"),Ct||Qe(\"if(\",ur,\"!==\",Bt,\".cur){\"),Qe(\"if(\",ur,\"){\",Rt,\".bindFramebuffer(\",qr,\",\",ur,\".framebuffer);\"),ci&&Qe(Dt,\".drawBuffersWEBGL(\",Pt,\"[\",ur,\".colorAttachments.length]);\"),Qe(\"}else{\",Rt,\".bindFramebuffer(\",qr,\",null);\"),ci&&Qe(Dt,\".drawBuffersWEBGL(\",ht,\");\"),Qe(\"}\",Bt,\".cur=\",ur,\";\"),Ct||Qe(\"}\")}function Ys(Ve,Qe,at){var Ct=Ve.shared,Ot=Ct.gl,Rt=Ve.current,Bt=Ve.next,Dt=Ct.current,yt=Ct.next,Pt=Ve.cond(Dt,\".dirty\");hi.forEach(function(ht){var ur=Ji(ht);if(!(ur in at.state)){var br,Ur;if(ur in Bt){br=Bt[ur],Ur=Rt[ur];var Di=M(Zi[ur].length,function(Ti){return Pt.def(br,\"[\",Ti,\"]\")});Pt(Ve.cond(Di.map(function(Ti,gn){return Ti+\"!==\"+Ur+\"[\"+gn+\"]\"}).join(\"||\")).then(Ot,\".\",mn[ur],\"(\",Di,\");\",Di.map(function(Ti,gn){return Ur+\"[\"+gn+\"]=\"+Ti}).join(\";\"),\";\"))}else{br=Pt.def(yt,\".\",ur);var fi=Ve.cond(br,\"!==\",Dt,\".\",ur);Pt(fi),ur in li?fi(Ve.cond(br).then(Ot,\".enable(\",li[ur],\");\").else(Ot,\".disable(\",li[ur],\");\"),Dt,\".\",ur,\"=\",br,\";\"):fi(Ot,\".\",mn[ur],\"(\",br,\");\",Dt,\".\",ur,\"=\",br,\";\")}}}),Object.keys(at.state).length===0&&Pt(Dt,\".dirty=false;\"),Qe(Pt)}function wa(Ve,Qe,at,Ct){var Ot=Ve.shared,Rt=Ve.current,Bt=Ot.current,Dt=Ot.gl,yt;Si(Object.keys(at)).forEach(function(Pt){var ht=at[Pt];if(!(Ct&&!Ct(ht))){var ur=ht.append(Ve,Qe);if(li[Pt]){var br=li[Pt];Ln(ht)?(yt=Ve.link(ur,{stable:!0}),Qe(Ve.cond(yt).then(Dt,\".enable(\",br,\");\").else(Dt,\".disable(\",br,\");\")),Qe(Bt,\".\",Pt,\"=\",yt,\";\")):(Qe(Ve.cond(ur).then(Dt,\".enable(\",br,\");\").else(Dt,\".disable(\",br,\");\")),Qe(Bt,\".\",Pt,\"=\",ur,\";\"))}else if(Mn(ur)){var Ur=Rt[Pt];Qe(Dt,\".\",mn[Pt],\"(\",ur,\");\",ur.map(function(Di,fi){return Ur+\"[\"+fi+\"]=\"+Di}).join(\";\"),\";\")}else Ln(ht)?(yt=Ve.link(ur,{stable:!0}),Qe(Dt,\".\",mn[Pt],\"(\",yt,\");\",Bt,\".\",Pt,\"=\",yt,\";\")):Qe(Dt,\".\",mn[Pt],\"(\",ur,\");\",Bt,\".\",Pt,\"=\",ur,\";\")}})}function ol(Ve,Qe){Ri&&(Ve.instancing=Qe.def(Ve.shared.extensions,\".angle_instanced_arrays\"))}function io(Ve,Qe,at,Ct,Ot){var Rt=Ve.shared,Bt=Ve.stats,Dt=Rt.current,yt=Rt.timer,Pt=at.profile;function ht(){return typeof performance==\"undefined\"?\"Date.now()\":\"performance.now()\"}var ur,br;function Ur(Ci){ur=Qe.def(),Ci(ur,\"=\",ht(),\";\"),typeof Ot==\"string\"?Ci(Bt,\".count+=\",Ot,\";\"):Ci(Bt,\".count++;\"),Wi&&(Ct?(br=Qe.def(),Ci(br,\"=\",yt,\".getNumPendingQueries();\")):Ci(yt,\".beginQuery(\",Bt,\");\"))}function Di(Ci){Ci(Bt,\".cpuTime+=\",ht(),\"-\",ur,\";\"),Wi&&(Ct?Ci(yt,\".pushScopeStats(\",br,\",\",yt,\".getNumPendingQueries(),\",Bt,\");\"):Ci(yt,\".endQuery();\"))}function fi(Ci){var Bi=Qe.def(Dt,\".profile\");Qe(Dt,\".profile=\",Ci,\";\"),Qe.exit(Dt,\".profile=\",Bi,\";\")}var Ti;if(Pt){if(Ln(Pt)){Pt.enable?(Ur(Qe),Di(Qe.exit),fi(\"true\")):fi(\"false\");return}Ti=Pt.append(Ve,Qe),fi(Ti)}else Ti=Qe.def(Dt,\".profile\");var gn=Ve.block();Ur(gn),Qe(\"if(\",Ti,\"){\",gn,\"}\");var rn=Ve.block();Di(rn),Qe.exit(\"if(\",Ti,\"){\",rn,\"}\")}function Y(Ve,Qe,at,Ct,Ot){var Rt=Ve.shared;function Bt(yt){switch(yt){case Co:case Ps:case hl:return 2;case Qa:case Ts:case Ul:return 3;case mo:case wo:case Lu:return 4;default:return 1}}function Dt(yt,Pt,ht){var ur=Rt.gl,br=Qe.def(yt,\".location\"),Ur=Qe.def(Rt.attributes,\"[\",br,\"]\"),Di=ht.state,fi=ht.buffer,Ti=[ht.x,ht.y,ht.z,ht.w],gn=[\"buffer\",\"normalized\",\"offset\",\"stride\"];function rn(){Qe(\"if(!\",Ur,\".buffer){\",ur,\".enableVertexAttribArray(\",br,\");}\");var Bi=ht.type,Gi;if(ht.size?Gi=Qe.def(ht.size,\"||\",Pt):Gi=Pt,Qe(\"if(\",Ur,\".type!==\",Bi,\"||\",Ur,\".size!==\",Gi,\"||\",gn.map(function(zn){return Ur+\".\"+zn+\"!==\"+ht[zn]}).join(\"||\"),\"){\",ur,\".bindBuffer(\",Sr,\",\",fi,\".buffer);\",ur,\".vertexAttribPointer(\",[br,Gi,Bi,ht.normalized,ht.stride,ht.offset],\");\",Ur,\".type=\",Bi,\";\",Ur,\".size=\",Gi,\";\",gn.map(function(zn){return Ur+\".\"+zn+\"=\"+ht[zn]+\";\"}).join(\"\"),\"}\"),Ri){var sn=ht.divisor;Qe(\"if(\",Ur,\".divisor!==\",sn,\"){\",Ve.instancing,\".vertexAttribDivisorANGLE(\",[br,sn],\");\",Ur,\".divisor=\",sn,\";}\")}}function Ci(){Qe(\"if(\",Ur,\".buffer){\",ur,\".disableVertexAttribArray(\",br,\");\",Ur,\".buffer=null;\",\"}if(\",Ca.map(function(Bi,Gi){return Ur+\".\"+Bi+\"!==\"+Ti[Gi]}).join(\"||\"),\"){\",ur,\".vertexAttrib4f(\",br,\",\",Ti,\");\",Ca.map(function(Bi,Gi){return Ur+\".\"+Bi+\"=\"+Ti[Gi]+\";\"}).join(\"\"),\"}\")}Di===La?rn():Di===Na?Ci():(Qe(\"if(\",Di,\"===\",La,\"){\"),rn(),Qe(\"}else{\"),Ci(),Qe(\"}\"))}Ct.forEach(function(yt){var Pt=yt.name,ht=at.attributes[Pt],ur;if(ht){if(!Ot(ht))return;ur=ht.append(Ve,Qe)}else{if(!Ot(ia))return;var br=Ve.scopeAttrib(Pt);ur={},Object.keys(new Yr).forEach(function(Ur){ur[Ur]=Qe.def(br,\".\",Ur)})}Dt(Ve.link(yt),Bt(yt.info.type),ur)})}function D(Ve,Qe,at,Ct,Ot,Rt){for(var Bt=Ve.shared,Dt=Bt.gl,yt,Pt=0;Pt<Ct.length;++Pt){var ht=Ct[Pt],ur=ht.name,br=ht.info.type,Ur=at.uniforms[ur],Di=Ve.link(ht),fi=Di+\".location\",Ti;if(Ur){if(!Ot(Ur))continue;if(Ln(Ur)){var gn=Ur.value;if(br===dc||br===Tl){var rn=Ve.link(gn._texture||gn.color[0]._texture);Qe(Dt,\".uniform1i(\",fi,\",\",rn+\".bind());\"),Qe.exit(rn,\".unbind();\")}else if(br===au||br===Js||br===Ql){var Ci=Ve.global.def(\"new Float32Array([\"+Array.prototype.slice.call(gn)+\"])\"),Bi=2;br===Js?Bi=3:br===Ql&&(Bi=4),Qe(Dt,\".uniformMatrix\",Bi,\"fv(\",fi,\",false,\",Ci,\");\")}else{switch(br){case $a:yt=\"1f\";break;case Co:yt=\"2f\";break;case Qa:yt=\"3f\";break;case mo:yt=\"4f\";break;case To:yt=\"1i\";break;case Bo:yt=\"1i\";break;case hl:yt=\"2i\";break;case Ps:yt=\"2i\";break;case Ul:yt=\"3i\";break;case Ts:yt=\"3i\";break;case Lu:yt=\"4i\";break;case wo:yt=\"4i\";break}Qe(Dt,\".uniform\",yt,\"(\",fi,\",\",Mn(gn)?Array.prototype.slice.call(gn):gn,\");\")}continue}else 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Tz(e,t){Array.isArray(e)&&(e=e.join(\", \"));var r={},n,i=16,a=.05;t&&(t.length===2&&typeof t[0]==\"number\"?n=wz(t):Array.isArray(t)?n=t:(t.o?n=wz(t.o):t.pairs&&(n=t.pairs),t.fontSize&&(i=t.fontSize),t.threshold!=null&&(a=t.threshold))),n||(n=mBe),bz.font=i+\"px \"+e;for(var o=0;o<n.length;o++){var s=n[o],l=bz.measureText(s[0]).width+bz.measureText(s[1]).width,u=bz.measureText(s).width;if(Math.abs(l-u)>i*a){var c=(u-l)/i;r[s]=c*1e3}}return r}function wz(e){for(var t=[],r=e[0];r<=e[1];r++)for(var n=String.fromCharCode(r),i=e[0];i<e[1];i++){var a=String.fromCharCode(i),o=n+a;t.push(o)}return t}});var TBe=ye((f_r,wBe)=>{\"use strict\";wBe.exports=hx;hx.canvas=document.createElement(\"canvas\");hx.cache={};function hx(o,t){t||(t={}),(typeof o==\"string\"||Array.isArray(o))&&(t.family=o);var r=Array.isArray(t.family)?t.family.join(\", \"):t.family;if(!r)throw Error(\"`family` must be defined\");var n=t.size||t.fontSize||t.em||48,i=t.weight||t.fontWeight||\"\",a=t.style||t.fontStyle||\"\",o=[a,i,n].join(\" \")+\"px \"+r,s=t.origin||\"top\";if(hx.cache[r]&&n<=hx.cache[r].em)return xBe(hx.cache[r],s);var l=t.canvas||hx.canvas,u=l.getContext(\"2d\"),c={upper:t.upper!==void 0?t.upper:\"H\",lower:t.lower!==void 0?t.lower:\"x\",descent:t.descent!==void 0?t.descent:\"p\",ascent:t.ascent!==void 0?t.ascent:\"h\",tittle:t.tittle!==void 0?t.tittle:\"i\",overshoot:t.overshoot!==void 0?t.overshoot:\"O\"},f=Math.ceil(n*1.5);l.height=f,l.width=f*.5,u.font=o;var h=\"H\",d={top:0};u.clearRect(0,0,f,f),u.textBaseline=\"top\",u.fillStyle=\"black\",u.fillText(h,0,0);var v=Km(u.getImageData(0,0,f,f));u.clearRect(0,0,f,f),u.textBaseline=\"bottom\",u.fillText(h,0,f);var _=Km(u.getImageData(0,0,f,f));d.lineHeight=d.bottom=f-_+v,u.clearRect(0,0,f,f),u.textBaseline=\"alphabetic\",u.fillText(h,0,f);var 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S=Km(u.getImageData(0,0,f,f));if(d.ideographic=f-S-1+v,c.upper&&(u.clearRect(0,0,f,f),u.textBaseline=\"top\",u.fillText(c.upper,0,0),d.upper=Km(u.getImageData(0,0,f,f)),d.capHeight=d.baseline-d.upper),c.lower&&(u.clearRect(0,0,f,f),u.textBaseline=\"top\",u.fillText(c.lower,0,0),d.lower=Km(u.getImageData(0,0,f,f)),d.xHeight=d.baseline-d.lower),c.tittle&&(u.clearRect(0,0,f,f),u.textBaseline=\"top\",u.fillText(c.tittle,0,0),d.tittle=Km(u.getImageData(0,0,f,f))),c.ascent&&(u.clearRect(0,0,f,f),u.textBaseline=\"top\",u.fillText(c.ascent,0,0),d.ascent=Km(u.getImageData(0,0,f,f))),c.descent&&(u.clearRect(0,0,f,f),u.textBaseline=\"top\",u.fillText(c.descent,0,0),d.descent=bBe(u.getImageData(0,0,f,f))),c.overshoot){u.clearRect(0,0,f,f),u.textBaseline=\"top\",u.fillText(c.overshoot,0,0);var L=bBe(u.getImageData(0,0,f,f));d.overshoot=L-p}for(var x in d)d[x]/=n;return d.em=n,hx.cache[r]=d,xBe(d,s)}function xBe(e,t){var r={};typeof t==\"string\"&&(t=e[t]);for(var n in e)n!==\"em\"&&(r[n]=e[n]-t);return r}function Km(e){for(var t=e.height,r=e.data,n=3;n<r.length;n+=4)if(r[n]!==0)return Math.floor((n-3)*.25/t)}function bBe(e){for(var t=e.height,r=e.data,n=r.length-1;n>0;n-=4)if(r[n]!==0)return Math.floor((n-3)*.25/t)}});var EBe=ye((h_r,MBe)=>{\"use strict\";var p5=Oqe(),xUt=Zm(),bUt=qqe(),wUt=Gqe(),TUt=NY(),lK=J_(),AUt=jqe(),dx=cBe(),SUt=i5(),MUt=hBe(),EUt=oK(),kUt=gBe(),CUt=_Be(),LUt=Oh(),PUt=TBe(),IUt=Z2(),RUt=nK(),ABe=RUt.nextPow2,SBe=new TUt,Sz=!1;document.body&&(Az=document.body.appendChild(document.createElement(\"div\")),Az.style.font=\"italic small-caps bold condensed 16px/2 cursive\",getComputedStyle(Az).fontStretch&&(Sz=!0),document.body.removeChild(Az));var Az,xc=function(t){DUt(t)?(t={regl:t},this.gl=t.regl._gl):this.gl=wUt(t),this.shader=SBe.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||bUt({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(),SBe.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(MUt(t)?t:{})};xc.prototype.createShader=function(){var t=this.regl,r=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},stencil:{enable:!1},depth:{enable:!1},count:t.prop(\"count\"),offset:t.prop(\"offset\"),attributes:{charOffset:{offset:4,stride:8,buffer:t.this(\"sizeBuffer\")},width:{offset:0,stride:8,buffer:t.this(\"sizeBuffer\")},char:t.this(\"charBuffer\"),position:t.this(\"position\")},uniforms:{atlasSize:function(i,a){return[a.atlas.width,a.atlas.height]},atlasDim:function(i,a){return[a.atlas.cols,a.atlas.rows]},atlas:function(i,a){return a.atlas.texture},charStep:function(i,a){return a.atlas.step},em:function(i,a){return a.atlas.em},color:t.prop(\"color\"),opacity:t.prop(\"opacity\"),viewport:t.this(\"viewportArray\"),scale:t.this(\"scale\"),align:t.prop(\"align\"),baseline:t.prop(\"baseline\"),translate:t.this(\"translate\"),positionOffset:t.prop(\"positionOffset\")},primitive:\"points\",viewport:t.this(\"viewport\"),vert:`\n",
       "\t\t\tprecision highp float;\n",
       "\t\t\tattribute float width, charOffset, char;\n",
       "\t\t\tattribute vec2 position;\n",
       "\t\t\tuniform float fontSize, charStep, em, align, baseline;\n",
       "\t\t\tuniform vec4 viewport;\n",
       "\t\t\tuniform vec4 color;\n",
       "\t\t\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\n",
       "\t\t\tvarying vec2 charCoord, charId;\n",
       "\t\t\tvarying float charWidth;\n",
       "\t\t\tvarying vec4 fontColor;\n",
       "\t\t\tvoid main () {\n",
       "\t\t\t\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\n",
       "\t\t\t\t\t+ vec2(positionOffset.x, -positionOffset.y)))\n",
       "\t\t\t\t\t/ (viewport.zw * scale.xy);\n",
       "\n",
       "\t\t\t\tvec2 position = (position + translate) * scale;\n",
       "\t\t\t\tposition += offset * scale;\n",
       "\n",
       "\t\t\t\tcharCoord = position * viewport.zw + viewport.xy;\n",
       "\n",
       "\t\t\t\tgl_Position = vec4(position * 2. - 1., 0, 1);\n",
       "\n",
       "\t\t\t\tgl_PointSize = charStep;\n",
       "\n",
       "\t\t\t\tcharId.x = mod(char, atlasDim.x);\n",
       "\t\t\t\tcharId.y = floor(char / atlasDim.x);\n",
       "\n",
       "\t\t\t\tcharWidth = width * em;\n",
       "\n",
       "\t\t\t\tfontColor = color / 255.;\n",
       "\t\t\t}`,frag:`\n",
       "\t\t\tprecision highp float;\n",
       "\t\t\tuniform float fontSize, charStep, opacity;\n",
       "\t\t\tuniform vec2 atlasSize;\n",
       "\t\t\tuniform vec4 viewport;\n",
       "\t\t\tuniform sampler2D atlas;\n",
       "\t\t\tvarying vec4 fontColor;\n",
       "\t\t\tvarying vec2 charCoord, charId;\n",
       "\t\t\tvarying float charWidth;\n",
       "\n",
       "\t\t\tfloat lightness(vec4 color) {\n",
       "\t\t\t\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\n",
       "\t\t\t}\n",
       "\n",
       "\t\t\tvoid main () {\n",
       "\t\t\t\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\n",
       "\t\t\t\tfloat halfCharStep = floor(charStep * .5 + .5);\n",
       "\n",
       "\t\t\t\t// invert y and shift by 1px (FF expecially needs that)\n",
       "\t\t\t\tuv.y = charStep - uv.y;\n",
       "\n",
       "\t\t\t\t// ignore points outside of character bounding box\n",
       "\t\t\t\tfloat halfCharWidth = ceil(charWidth * .5);\n",
       "\t\t\t\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\n",
       "\t\t\t\t\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\n",
       "\n",
       "\t\t\t\tuv += charId * charStep;\n",
       "\t\t\t\tuv = uv / atlasSize;\n",
       "\n",
       "\t\t\t\tvec4 color = fontColor;\n",
       "\t\t\t\tvec4 mask = texture2D(atlas, uv);\n",
       "\n",
       "\t\t\t\tfloat maskY = lightness(mask);\n",
       "\t\t\t\t// float colorY = lightness(color);\n",
       "\t\t\t\tcolor.a *= maskY;\n",
       "\t\t\t\tcolor.a *= opacity;\n",
       "\n",
       "\t\t\t\t// color.a += .1;\n",
       "\n",
       "\t\t\t\t// antialiasing, see yiq color space y-channel formula\n",
       "\t\t\t\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\n",
       "\n",
       "\t\t\t\tgl_FragColor = color;\n",
       "\t\t\t}`}),n={};return{regl:t,draw:r,atlas:n}};xc.prototype.update=function(t){var r=this;if(typeof t==\"string\")t={text:t};else if(!t)return;t=xUt(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign textbaseline\",baseline:\"baseline textBaseline textbaseline\",direction:\"dir direction textDirection\",color:\"color colour fill fill-color fillColor textColor textcolor\",kerning:\"kerning kern\",range:\"range dataBox\",viewport:\"vp viewport viewBox viewbox viewPort\",opacity:\"opacity alpha transparency visible visibility opaque\",offset:\"offset positionOffset padding shift indent indentation\"},!0),t.opacity!=null&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map(function(Ce){return parseFloat(Ce)}):this.opacity=parseFloat(t.opacity)),t.viewport!=null&&(this.viewport=SUt(t.viewport),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),this.viewport==null&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),t.kerning!=null&&(this.kerning=t.kerning),t.offset!=null&&(typeof t.offset==\"number\"&&(t.offset=[t.offset,0]),this.positionOffset=IUt(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=xc.baseFontSize+\"px sans-serif\");var n=!1,i=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach(function(Ce,me){if(typeof Ce==\"string\")try{Ce=p5.parse(Ce)}catch(Ze){Ce=p5.parse(xc.baseFontSize+\"px \"+Ce)}else{var ie=Ce.style,Se=Ce.weight,Le=Ce.stretch,Ae=Ce.variant;Ce=p5.parse(p5.stringify(Ce)),ie&&(Ce.style=ie),Se&&(Ce.weight=Se),Le&&(Ce.stretch=Le),Ae&&(Ce.variant=Ae)}var Fe=p5.stringify({size:xc.baseFontSize,family:Ce.family,stretch:Sz?Ce.stretch:void 0,variant:Ce.variant,weight:Ce.weight,style:Ce.style}),Pe=EUt(Ce.size),ge=Math.round(Pe[0]*kUt(Pe[1]));if(ge!==r.fontSize[me]&&(i=!0,r.fontSize[me]=ge),(!r.font[me]||Fe!=r.font[me].baseString)&&(n=!0,r.font[me]=xc.fonts[Fe],!r.font[me])){var Re=Ce.family.join(\", \"),ce=[Ce.style];Ce.style!=Ce.variant&&ce.push(Ce.variant),Ce.variant!=Ce.weight&&ce.push(Ce.weight),Sz&&Ce.weight!=Ce.stretch&&ce.push(Ce.stretch),r.font[me]={baseString:Fe,family:Re,weight:Ce.weight,stretch:Ce.stretch,style:Ce.style,variant:Ce.variant,width:{},kerning:{},metrics:PUt(Re,{origin:\"top\",fontSize:xc.baseFontSize,fontStyle:ce.join(\" \")})},xc.fonts[Fe]=r.font[me]}}),(n||i)&&this.font.forEach(function(Ce,me){var ie=p5.stringify({size:r.fontSize[me],family:Ce.family,stretch:Sz?Ce.stretch:void 0,variant:Ce.variant,weight:Ce.weight,style:Ce.style});if(r.fontAtlas[me]=r.shader.atlas[ie],!r.fontAtlas[me]){var Se=Ce.metrics;r.shader.atlas[ie]=r.fontAtlas[me]={fontString:ie,step:Math.ceil(r.fontSize[me]*Se.bottom*.5)*2,em:r.fontSize[me],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:r.regl.texture()}}t.text==null&&(t.text=r.text)}),typeof t.text==\"string\"&&t.position&&t.position.length>2){for(var a=Array(t.position.length*.5),o=0;o<a.length;o++)a[o]=t.text;t.text=a}var s;if(t.text!=null||n){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var l=1;l<t.text.length;l++)this.textOffsets[l]=this.textOffsets[l-1]+t.text[l-1].length,this.count+=t.text[l].length,this.counts.push(t.text[l].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];s=[],this.font.forEach(function(Ce,me){xc.atlasContext.font=Ce.baseString;for(var ie=r.fontAtlas[me],Se=0;Se<r.text.length;Se++){var Le=r.text.charAt(Se);if(ie.ids[Le]==null&&(ie.ids[Le]=ie.chars.length,ie.chars.push(Le),s.push(Le)),Ce.width[Le]==null&&(Ce.width[Le]=xc.atlasContext.measureText(Le).width/xc.baseFontSize,r.kerning)){var Ae=[];for(var Fe in Ce.width)Ae.push(Fe+Le,Le+Fe);LUt(Ce.kerning,CUt(Ce.family,{pairs:Ae}))}}})}if(t.position)if(t.position.length>2){for(var u=!t.position[0].length,c=dx.mallocFloat(this.count*2),f=0,h=0;f<this.counts.length;f++){var d=this.counts[f];if(u)for(var v=0;v<d;v++)c[h++]=t.position[f*2],c[h++]=t.position[f*2+1];else for(var _=0;_<d;_++)c[h++]=t.position[f][0],c[h++]=t.position[f][1]}this.position.call?this.position({type:\"float\",data:c}):this.position=this.regl.buffer({type:\"float\",data:c}),dx.freeFloat(c)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||n){var b=dx.mallocUint8(this.count),p=dx.mallocFloat(this.count*2);this.textWidth=[];for(var k=0,E=0;k<this.counts.length;k++){for(var S=this.counts[k],L=this.font[k]||this.font[0],x=this.fontAtlas[k]||this.fontAtlas[0],C=0;C<S;C++){var M=this.text.charAt(E),g=this.text.charAt(E-1);if(b[E]=x.ids[M],p[E*2]=L.width[M],C){var P=p[E*2-2],T=p[E*2],z=p[E*2-1],O=z+P*.5+T*.5;if(this.kerning){var V=L.kerning[g+M];V&&(O+=V*.001)}p[E*2+1]=O}else p[E*2+1]=p[E*2]*.5;E++}this.textWidth.push(p.length?p[E*2-2]*.5+p[E*2-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:b,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:p,type:\"float\",usage:\"stream\"}),dx.freeUint8(b),dx.freeFloat(p),s.length&&this.font.forEach(function(Ce,me){var ie=r.fontAtlas[me],Se=ie.step,Le=Math.floor(xc.maxAtlasSize/Se),Ae=Math.min(Le,ie.chars.length),Fe=Math.ceil(ie.chars.length/Ae),Pe=ABe(Ae*Se),ge=ABe(Fe*Se);ie.width=Pe,ie.height=ge,ie.rows=Fe,ie.cols=Ae,ie.em&&ie.texture({data:AUt({canvas:xc.atlasCanvas,font:ie.fontString,chars:ie.chars,shape:[Pe,ge],step:[Se,Se]})})})}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map(function(Ce,me){var ie=Array.isArray(r.align)?r.align.length>1?r.align[me]:r.align[0]:r.align;if(typeof ie==\"number\")return ie;switch(ie){case\"right\":case\"end\":return-Ce;case\"center\":case\"centre\":case\"middle\":return-Ce*.5}return 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oe=this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2;if(oe){var _e=Math.max(this.position.length*.5||0,this.color.length*.25||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,this.positionOffset.length*.5||0);this.batch=Array(_e);for(var 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ft=0;ft<32;++ft)if((Ue.mipmask&1<<ft)!==0)if(Ue.target===_n)Me.texImage2D(_n,ft,Ue.internalformat,Ue.width>>ft,Ue.height>>ft,0,Ue.internalformat,Ue.type,null);else for(var Xt=0;Xt<6;++Xt)Me.texImage2D(Jn+Xt,ft,Ue.internalformat,Ue.width>>ft,Ue.height>>ft,0,Ue.internalformat,Ue.type,null);al(Ue.texInfo,Ue.target)})}function de(){for(var ne=0;ne<Vs;++ne){var we=Ys[ne];we&&(we.bindCount=0,we.unit=-1,Ys[ne]=null),Me.activeTexture(Fu+ne),Me.bindTexture(_n,null),Me.bindTexture(ya,null)}}return{create2D:D,createCube:J,clear:q,getTexture:function(ne){return null},restore:K,refresh:de}}var Nl=36161,Kc=32854,Rc=32855,gs=36194,jf=33189,Gh=36168,rh=34041,sf=35907,Th=34836,Mu=34842,ih=34843,js=[];js[Kc]=2,js[Rc]=2,js[gs]=2,js[jf]=2,js[Gh]=1,js[rh]=4,js[sf]=4,js[Th]=16,js[Mu]=8,js[ih]=6;function Eu(Me,bt,zt){return js[Me]*bt*zt}var Dc=function(Me,bt,zt,Rr,jr){var Nr={rgba4:Kc,rgb565:gs,\"rgb5 a1\":Rc,depth:jf,stencil:Gh,\"depth 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ei(!1,!1,!1,Me)}function Un(Me,bt){var zt=Me.type;if(zt===Yn){var Rr=Me.data.length;return new ei(!0,Rr>=1,Rr>=2,bt)}else if(zt===Xo){var jr=Me.data;return new ei(jr.thisDep,jr.contextDep,jr.propDep,bt)}else{if(zt===Ss)return new ei(!1,!1,!1,bt);if(zt===as){for(var Nr=!1,Gr=!1,mi=!1,Ui=0;Ui<Me.data.length;++Ui){var qi=Me.data[Ui];if(qi.type===Dn)mi=!0;else if(qi.type===Ka)Gr=!0;else if(qi.type===bo)Nr=!0;else if(qi.type===Yn){Nr=!0;var Ei=qi.data;Ei>=1&&(Gr=!0),Ei>=2&&(mi=!0)}else qi.type===Xo&&(Nr=Nr||qi.data.thisDep,Gr=Gr||qi.data.contextDep,mi=mi||qi.data.propDep)}return new ei(Nr,Gr,mi,bt)}else return new ei(zt===bo,zt===Ka,zt===Dn,bt)}}var ia=new ei(!1,!1,!1,function(){});function Ea(Me,bt,zt,Rr,jr,Nr,Gr,mi,Ui,qi,Ei,Hn,en,Wi,si,Mr){var Yr=qi.Record,xi={add:32774,subtract:32778,\"reverse subtract\":32779};zt.ext_blend_minmax&&(xi.min=He,xi.max=Ye);var Ri=zt.angle_instanced_arrays,ci=zt.webgl_draw_buffers,an=zt.oes_vertex_array_object,Zi={dirty:!0,profile:Mr.profile},Bn={},hi=[],li={},mn={};function Ji(Ve){return Ve.replace(\".\",\"_\")}function Vi(Ve,Qe,at){var Ct=Ji(Ve);hi.push(Ve),Bn[Ct]=Zi[Ct]=!!at,li[Ct]=Qe}function Ni(Ve,Qe,at){var Ct=Ji(Ve);hi.push(Ve),Array.isArray(at)?(Zi[Ct]=at.slice(),Bn[Ct]=at.slice()):Zi[Ct]=Bn[Ct]=at,mn[Ct]=Qe}function pn(Ve){return!!isNaN(Ve)}Vi(ws,Pi),Vi(Ho,ni),Ni(ml,\"blendColor\",[0,0,0,0]),Ni(Ws,\"blendEquationSeparate\",[yr,yr]),Ni(Ls,\"blendFuncSeparate\",[gr,jt,gr,jt]),Vi(va,ln,!0),Ni(no,\"depthFunc\",Hr),Ni(ys,\"depthRange\",[0,1]),Ni(rs,\"depthMask\",!0),Ni($l,$l,[!0,!0,!0,!0]),Vi(Cu,Wr),Ni(Yu,\"cullFace\",se),Ni(Nc,Nc,Ne),Ni(pu,pu,1),Vi(Uc,Kn),Ni(xu,\"polygonOffset\",[0,0]),Vi(Ac,Ta),Vi(Ua,fa),Ni(oo,\"sampleCoverage\",[1,!1]),Vi(Vc,cn),Ni(hc,\"stencilMask\",-1),Ni(Ku,\"stencilFunc\",[kt,0,-1]),Ni(ue,\"stencilOpSeparate\",[X,nt,nt,nt]),Ni(w,\"stencilOpSeparate\",[se,nt,nt,nt]),Vi(B,Cn),Ni(Q,\"scissor\",[0,0,Me.drawingBufferWidth,Me.drawingBufferHeight]),Ni(ee,ee,[0,0,Me.drawingBufferWidth,Me.drawingBufferHeight]);var Vn={gl:Me,context:en,strings:bt,next:Bn,current:Zi,draw:Hn,elements:Nr,buffer:jr,shader:Ei,attributes:qi.state,vao:qi,uniforms:Ui,framebuffer:mi,extensions:zt,timer:Wi,isBufferArgs:Ii},na={primTypes:Sn,compareFuncs:Zr,blendFuncs:bi,blendEquations:xi,stencilOps:ai,glTypes:ji,orientationType:gi};ci&&(na.backBuffer=[se],na.drawBuffer=M(Rr.maxDrawbuffers,function(Ve){return Ve===0?[0]:M(Ve,function(Qe){return _i+Qe})}));var Ki=0;function kn(){var Ve=$n({cache:si}),Qe=Ve.link,at=Ve.global;Ve.id=Ki++,Ve.batchId=\"0\";var Ct=Qe(Vn),Ot=Ve.shared={props:\"a0\"};Object.keys(Vn).forEach(function(Pt){Ot[Pt]=at.def(Ct,\".\",Pt)});var Rt=Ve.next={},Bt=Ve.current={};Object.keys(mn).forEach(function(Pt){Array.isArray(Zi[Pt])&&(Rt[Pt]=at.def(Ot.next,\".\",Pt),Bt[Pt]=at.def(Ot.current,\".\",Pt))});var Dt=Ve.constants={};Object.keys(na).forEach(function(Pt){Dt[Pt]=at.def(JSON.stringify(na[Pt]))}),Ve.invoke=function(Pt,ht){switch(ht.type){case Yn:var ur=[\"this\",Ot.context,Ot.props,Ve.batchId];return Pt.def(Qe(ht.data),\".call(\",ur.slice(0,Math.max(ht.data.length+1,4)),\")\");case Dn:return Pt.def(Ot.props,ht.data);case Ka:return Pt.def(Ot.context,ht.data);case bo:return Pt.def(\"this\",ht.data);case Xo:return ht.data.append(Ve,Pt),ht.data.ref;case Ss:return ht.data.toString();case as:return ht.data.map(function(br){return Ve.invoke(Pt,br)})}},Ve.attribCache={};var yt={};return Ve.scopeAttrib=function(Pt){var ht=bt.id(Pt);if(ht in yt)return yt[ht];var ur=qi.scope[ht];ur||(ur=qi.scope[ht]=new Yr);var br=yt[ht]=Qe(ur);return br},Ve}function ta(Ve){var Qe=Ve.static,at=Ve.dynamic,Ct;if(le in Qe){var Ot=!!Qe[le];Ct=En(function(Bt,Dt){return Ot}),Ct.enable=Ot}else if(le in at){var Rt=at[le];Ct=Un(Rt,function(Bt,Dt){return Bt.invoke(Dt,Rt)})}return Ct}function oa(Ve,Qe){var at=Ve.static,Ct=Ve.dynamic;if(qe in at){var Ot=at[qe];return Ot?(Ot=mi.getFramebuffer(Ot),En(function(Bt,Dt){var yt=Bt.link(Ot),Pt=Bt.shared;Dt.set(Pt.framebuffer,\".next\",yt);var ht=Pt.context;return Dt.set(ht,\".\"+Be,yt+\".width\"),Dt.set(ht,\".\"+et,yt+\".height\"),yt})):En(function(Bt,Dt){var yt=Bt.shared;Dt.set(yt.framebuffer,\".next\",\"null\");var Pt=yt.context;return Dt.set(Pt,\".\"+Be,Pt+\".\"+Ht),Dt.set(Pt,\".\"+et,Pt+\".\"+tr),\"null\"})}else if(qe in Ct){var Rt=Ct[qe];return Un(Rt,function(Bt,Dt){var yt=Bt.invoke(Dt,Rt),Pt=Bt.shared,ht=Pt.framebuffer,ur=Dt.def(ht,\".getFramebuffer(\",yt,\")\");Dt.set(ht,\".next\",ur);var br=Pt.context;return Dt.set(br,\".\"+Be,ur+\"?\"+ur+\".width:\"+br+\".\"+Ht),Dt.set(br,\".\"+et,ur+\"?\"+ur+\".height:\"+br+\".\"+tr),ur})}else return null}function ba(Ve,Qe,at){var Ct=Ve.static,Ot=Ve.dynamic;function Rt(yt){if(yt in Ct){var Pt=Ct[yt],ht=!0,ur=Pt.x|0,br=Pt.y|0,Ur,Di;return\"width\"in Pt?Ur=Pt.width|0:ht=!1,\"height\"in Pt?Di=Pt.height|0:ht=!1,new ei(!ht&&Qe&&Qe.thisDep,!ht&&Qe&&Qe.contextDep,!ht&&Qe&&Qe.propDep,function(gn,rn){var Ci=gn.shared.context,Bi=Ur;\"width\"in Pt||(Bi=rn.def(Ci,\".\",Be,\"-\",ur));var Gi=Di;return\"height\"in Pt||(Gi=rn.def(Ci,\".\",et,\"-\",br)),[ur,br,Bi,Gi]})}else if(yt in Ot){var fi=Ot[yt],Ti=Un(fi,function(gn,rn){var Ci=gn.invoke(rn,fi),Bi=gn.shared.context,Gi=rn.def(Ci,\".x|0\"),sn=rn.def(Ci,\".y|0\"),zn=rn.def('\"width\" in ',Ci,\"?\",Ci,\".width|0:\",\"(\",Bi,\".\",Be,\"-\",Gi,\")\"),Ja=rn.def('\"height\" in ',Ci,\"?\",Ci,\".height|0:\",\"(\",Bi,\".\",et,\"-\",sn,\")\");return[Gi,sn,zn,Ja]});return Qe&&(Ti.thisDep=Ti.thisDep||Qe.thisDep,Ti.contextDep=Ti.contextDep||Qe.contextDep,Ti.propDep=Ti.propDep||Qe.propDep),Ti}else return Qe?new ei(Qe.thisDep,Qe.contextDep,Qe.propDep,function(gn,rn){var Ci=gn.shared.context;return[0,0,rn.def(Ci,\".\",Be),rn.def(Ci,\".\",et)]}):null}var Bt=Rt(ee);if(Bt){var Dt=Bt;Bt=new ei(Bt.thisDep,Bt.contextDep,Bt.propDep,function(yt,Pt){var ht=Dt.append(yt,Pt),ur=yt.shared.context;return Pt.set(ur,\".\"+We,ht[2]),Pt.set(ur,\".\"+it,ht[3]),ht})}return{viewport:Bt,scissor_box:Rt(Q)}}function is(Ve,Qe){var at=Ve.static,Ct=typeof at[ot]==\"string\"&&typeof at[Xe]==\"string\";if(Ct){if(Object.keys(Qe.dynamic).length>0)return null;var Ot=Qe.static,Rt=Object.keys(Ot);if(Rt.length>0&&typeof Ot[Rt[0]]==\"number\"){for(var Bt=[],Dt=0;Dt<Rt.length;++Dt)Bt.push([Ot[Rt[Dt]]|0,Rt[Dt]]);return Bt}}return null}function Zs(Ve,Qe,at){var Ct=Ve.static,Ot=Ve.dynamic;function Rt(ht){if(ht in Ct){var ur=bt.id(Ct[ht]),br=En(function(){return ur});return br.id=ur,br}else if(ht in Ot){var Ur=Ot[ht];return Un(Ur,function(Di,fi){var Ti=Di.invoke(fi,Ur),gn=fi.def(Di.shared.strings,\".id(\",Ti,\")\");return gn})}return null}var Bt=Rt(ot),Dt=Rt(Xe),yt=null,Pt;return Ln(Bt)&&Ln(Dt)?(yt=Ei.program(Dt.id,Bt.id,null,at),Pt=En(function(ht,ur){return ht.link(yt)})):Pt=new ei(Bt&&Bt.thisDep||Dt&&Dt.thisDep,Bt&&Bt.contextDep||Dt&&Dt.contextDep,Bt&&Bt.propDep||Dt&&Dt.propDep,function(ht,ur){var br=ht.shared.shader,Ur;Bt?Ur=Bt.append(ht,ur):Ur=ur.def(br,\".\",ot);var Di;Dt?Di=Dt.append(ht,ur):Di=ur.def(br,\".\",Xe);var fi=br+\".program(\"+Di+\",\"+Ur;return ur.def(fi+\")\")}),{frag:Bt,vert:Dt,progVar:Pt,program:yt}}function Va(Ve,Qe){var at=Ve.static,Ct=Ve.dynamic,Ot={},Rt=!1;function Bt(){if(ve in at){var rn=at[ve];return rn!==null&&qi.getVAO(rn)===null&&(rn=qi.createVAO(rn)),Rt=!0,Ot.vao=rn,En(function(Bi){var Gi=qi.getVAO(rn);return Gi?Bi.link(Gi):\"null\"})}else if(ve in Ct){Rt=!0;var Ci=Ct[ve];return Un(Ci,function(Bi,Gi){var sn=Bi.invoke(Gi,Ci);return Gi.def(Bi.shared.vao+\".getVAO(\"+sn+\")\")})}return null}var Dt=Bt(),yt=!1;function Pt(){if(Tt in at){var rn=at[Tt];if(Ot.elements=rn,Ii(rn)){var Ci=Ot.elements=Nr.create(rn,!0);rn=Nr.getElements(Ci),yt=!0}else rn&&(rn=Nr.getElements(rn),yt=!0);var Bi=En(function(sn,zn){if(rn){var Ja=sn.link(rn);return sn.ELEMENTS=Ja,Ja}return sn.ELEMENTS=null,null});return Bi.value=rn,Bi}else if(Tt in Ct){yt=!0;var Gi=Ct[Tt];return Un(Gi,function(sn,zn){var Ja=sn.shared,co=Ja.isBufferArgs,ts=Ja.elements,so=sn.invoke(zn,Gi),Zo=zn.def(\"null\"),ms=zn.def(co,\"(\",so,\")\"),ou=sn.cond(ms).then(Zo,\"=\",ts,\".createStream(\",so,\");\").else(Zo,\"=\",ts,\".getElements(\",so,\");\");return zn.entry(ou),zn.exit(sn.cond(ms).then(ts,\".destroyStream(\",Zo,\");\")),sn.ELEMENTS=Zo,Zo})}else if(Rt)return new ei(Dt.thisDep,Dt.contextDep,Dt.propDep,function(sn,zn){return zn.def(sn.shared.vao+\".currentVAO?\"+sn.shared.elements+\".getElements(\"+sn.shared.vao+\".currentVAO.elements):null\")});return null}var ht=Pt();function ur(){if(Yt in at){var rn=at[Yt];return Ot.primitive=rn,En(function(Bi,Gi){return Sn[rn]})}else if(Yt in Ct){var Ci=Ct[Yt];return Un(Ci,function(Bi,Gi){var sn=Bi.constants.primTypes,zn=Bi.invoke(Gi,Ci);return Gi.def(sn,\"[\",zn,\"]\")})}else{if(yt)return Ln(ht)?ht.value?En(function(Bi,Gi){return Gi.def(Bi.ELEMENTS,\".primType\")}):En(function(){return Al}):new ei(ht.thisDep,ht.contextDep,ht.propDep,function(Bi,Gi){var sn=Bi.ELEMENTS;return Gi.def(sn,\"?\",sn,\".primType:\",Al)});if(Rt)return new ei(Dt.thisDep,Dt.contextDep,Dt.propDep,function(Bi,Gi){return Gi.def(Bi.shared.vao+\".currentVAO?\"+Bi.shared.vao+\".currentVAO.primitive:\"+Al)})}return null}function br(rn,Ci){if(rn in at){var Bi=at[rn]|0;return Ci?Ot.offset=Bi:Ot.instances=Bi,En(function(sn,zn){return Ci&&(sn.OFFSET=Bi),Bi})}else if(rn in Ct){var Gi=Ct[rn];return Un(Gi,function(sn,zn){var Ja=sn.invoke(zn,Gi);return Ci&&(sn.OFFSET=Ja),Ja})}else if(Ci){if(yt)return En(function(sn,zn){return sn.OFFSET=0,0});if(Rt)return new ei(Dt.thisDep,Dt.contextDep,Dt.propDep,function(sn,zn){return zn.def(sn.shared.vao+\".currentVAO?\"+sn.shared.vao+\".currentVAO.offset:0\")})}else if(Rt)return new ei(Dt.thisDep,Dt.contextDep,Dt.propDep,function(sn,zn){return zn.def(sn.shared.vao+\".currentVAO?\"+sn.shared.vao+\".currentVAO.instances:-1\")});return null}var Ur=br(xr,!0);function Di(){if(Kt in at){var rn=at[Kt]|0;return Ot.count=rn,En(function(){return rn})}else if(Kt in Ct){var Ci=Ct[Kt];return Un(Ci,function(zn,Ja){var co=zn.invoke(Ja,Ci);return co})}else if(yt)if(Ln(ht)){if(ht)return Ur?new ei(Ur.thisDep,Ur.contextDep,Ur.propDep,function(zn,Ja){var co=Ja.def(zn.ELEMENTS,\".vertCount-\",zn.OFFSET);return co}):En(function(zn,Ja){return Ja.def(zn.ELEMENTS,\".vertCount\")});var Bi=En(function(){return-1});return Bi}else{var Gi=new ei(ht.thisDep||Ur.thisDep,ht.contextDep||Ur.contextDep,ht.propDep||Ur.propDep,function(zn,Ja){var co=zn.ELEMENTS;return zn.OFFSET?Ja.def(co,\"?\",co,\".vertCount-\",zn.OFFSET,\":-1\"):Ja.def(co,\"?\",co,\".vertCount:-1\")});return Gi}else if(Rt){var sn=new ei(Dt.thisDep,Dt.contextDep,Dt.propDep,function(zn,Ja){return Ja.def(zn.shared.vao,\".currentVAO?\",zn.shared.vao,\".currentVAO.count:-1\")});return sn}return null}var fi=ur(),Ti=Di(),gn=br(Ir,!1);return{elements:ht,primitive:fi,count:Ti,instances:gn,offset:Ur,vao:Dt,vaoActive:Rt,elementsActive:yt,static:Ot}}function Ml(Ve,Qe){var at=Ve.static,Ct=Ve.dynamic,Ot={};return hi.forEach(function(Rt){var Bt=Ji(Rt);function Dt(yt,Pt){if(Rt in at){var ht=yt(at[Rt]);Ot[Bt]=En(function(){return ht})}else if(Rt in Ct){var ur=Ct[Rt];Ot[Bt]=Un(ur,function(br,Ur){return Pt(br,Ur,br.invoke(Ur,ur))})}}switch(Rt){case Cu:case Ho:case ws:case Vc:case va:case B:case Uc:case Ac:case Ua:case rs:return Dt(function(yt){return yt},function(yt,Pt,ht){return ht});case no:return Dt(function(yt){return Zr[yt]},function(yt,Pt,ht){var ur=yt.constants.compareFuncs;return Pt.def(ur,\"[\",ht,\"]\")});case ys:return Dt(function(yt){return yt},function(yt,Pt,ht){var ur=Pt.def(\"+\",ht,\"[0]\"),br=Pt.def(\"+\",ht,\"[1]\");return[ur,br]});case Ls:return Dt(function(yt){var Pt=\"srcRGB\"in yt?yt.srcRGB:yt.src,ht=\"srcAlpha\"in yt?yt.srcAlpha:yt.src,ur=\"dstRGB\"in yt?yt.dstRGB:yt.dst,br=\"dstAlpha\"in yt?yt.dstAlpha:yt.dst;return[bi[Pt],bi[ur],bi[ht],bi[br]]},function(yt,Pt,ht){var ur=yt.constants.blendFuncs;function br(Ci,Bi){var Gi=Pt.def('\"',Ci,Bi,'\" in ',ht,\"?\",ht,\".\",Ci,Bi,\":\",ht,\".\",Ci);return Gi}var Ur=br(\"src\",\"RGB\"),Di=br(\"dst\",\"RGB\"),fi=Pt.def(ur,\"[\",Ur,\"]\"),Ti=Pt.def(ur,\"[\",br(\"src\",\"Alpha\"),\"]\"),gn=Pt.def(ur,\"[\",Di,\"]\"),rn=Pt.def(ur,\"[\",br(\"dst\",\"Alpha\"),\"]\");return[fi,gn,Ti,rn]});case Ws:return Dt(function(yt){if(typeof yt==\"string\")return[xi[yt],xi[yt]];if(typeof yt==\"object\")return[xi[yt.rgb],xi[yt.alpha]]},function(yt,Pt,ht){var ur=yt.constants.blendEquations,br=Pt.def(),Ur=Pt.def(),Di=yt.cond(\"typeof \",ht,'===\"string\"');return Di.then(br,\"=\",Ur,\"=\",ur,\"[\",ht,\"];\"),Di.else(br,\"=\",ur,\"[\",ht,\".rgb];\",Ur,\"=\",ur,\"[\",ht,\".alpha];\"),Pt(Di),[br,Ur]});case ml:return Dt(function(yt){return M(4,function(Pt){return+yt[Pt]})},function(yt,Pt,ht){return M(4,function(ur){return Pt.def(\"+\",ht,\"[\",ur,\"]\")})});case hc:return Dt(function(yt){return yt|0},function(yt,Pt,ht){return Pt.def(ht,\"|0\")});case Ku:return Dt(function(yt){var Pt=yt.cmp||\"keep\",ht=yt.ref||0,ur=\"mask\"in yt?yt.mask:-1;return[Zr[Pt],ht,ur]},function(yt,Pt,ht){var ur=yt.constants.compareFuncs,br=Pt.def('\"cmp\" in ',ht,\"?\",ur,\"[\",ht,\".cmp]\",\":\",nt),Ur=Pt.def(ht,\".ref|0\"),Di=Pt.def('\"mask\" in ',ht,\"?\",ht,\".mask|0:-1\");return[br,Ur,Di]});case ue:case w:return Dt(function(yt){var Pt=yt.fail||\"keep\",ht=yt.zfail||\"keep\",ur=yt.zpass||\"keep\";return[Rt===w?se:X,ai[Pt],ai[ht],ai[ur]]},function(yt,Pt,ht){var ur=yt.constants.stencilOps;function br(Ur){return Pt.def('\"',Ur,'\" in ',ht,\"?\",ur,\"[\",ht,\".\",Ur,\"]:\",nt)}return[Rt===w?se:X,br(\"fail\"),br(\"zfail\"),br(\"zpass\")]});case xu:return Dt(function(yt){var Pt=yt.factor|0,ht=yt.units|0;return[Pt,ht]},function(yt,Pt,ht){var ur=Pt.def(ht,\".factor|0\"),br=Pt.def(ht,\".units|0\");return[ur,br]});case Yu:return Dt(function(yt){var Pt=0;return yt===\"front\"?Pt=X:yt===\"back\"&&(Pt=se),Pt},function(yt,Pt,ht){return Pt.def(ht,'===\"front\"?',X,\":\",se)});case pu:return Dt(function(yt){return yt},function(yt,Pt,ht){return ht});case Nc:return Dt(function(yt){return gi[yt]},function(yt,Pt,ht){return Pt.def(ht+'===\"cw\"?'+Te+\":\"+Ne)});case $l:return Dt(function(yt){return yt.map(function(Pt){return!!Pt})},function(yt,Pt,ht){return M(4,function(ur){return\"!!\"+ht+\"[\"+ur+\"]\"})});case oo:return Dt(function(yt){var Pt=\"value\"in yt?yt.value:1,ht=!!yt.invert;return[Pt,ht]},function(yt,Pt,ht){var ur=Pt.def('\"value\" in ',ht,\"?+\",ht,\".value:1\"),br=Pt.def(\"!!\",ht,\".invert\");return[ur,br]})}}),Ot}function zo(Ve,Qe){var at=Ve.static,Ct=Ve.dynamic,Ot={};return Object.keys(at).forEach(function(Rt){var Bt=at[Rt],Dt;if(typeof Bt==\"number\"||typeof Bt==\"boolean\")Dt=En(function(){return Bt});else if(typeof Bt==\"function\"){var yt=Bt._reglType;yt===\"texture2d\"||yt===\"textureCube\"?Dt=En(function(Pt){return Pt.link(Bt)}):(yt===\"framebuffer\"||yt===\"framebufferCube\")&&(Dt=En(function(Pt){return Pt.link(Bt.color[0])}))}else Mn(Bt)&&(Dt=En(function(Pt){var ht=Pt.global.def(\"[\",M(Bt.length,function(ur){return Bt[ur]}),\"]\");return ht}));Dt.value=Bt,Ot[Rt]=Dt}),Object.keys(Ct).forEach(function(Rt){var Bt=Ct[Rt];Ot[Rt]=Un(Bt,function(Dt,yt){return Dt.invoke(yt,Bt)})}),Ot}function Qs(Ve,Qe){var at=Ve.static,Ct=Ve.dynamic,Ot={};return Object.keys(at).forEach(function(Rt){var Bt=at[Rt],Dt=bt.id(Rt),yt=new Yr;if(Ii(Bt))yt.state=La,yt.buffer=jr.getBuffer(jr.create(Bt,Sr,!1,!0)),yt.type=0;else{var Pt=jr.getBuffer(Bt);if(Pt)yt.state=La,yt.buffer=Pt,yt.type=0;else if(\"constant\"in Bt){var ht=Bt.constant;yt.buffer=\"null\",yt.state=Na,typeof ht==\"number\"?yt.x=ht:Ca.forEach(function(gn,rn){rn<ht.length&&(yt[gn]=ht[rn])})}else{Ii(Bt.buffer)?Pt=jr.getBuffer(jr.create(Bt.buffer,Sr,!1,!0)):Pt=jr.getBuffer(Bt.buffer);var ur=Bt.offset|0,br=Bt.stride|0,Ur=Bt.size|0,Di=!!Bt.normalized,fi=0;\"type\"in Bt&&(fi=ji[Bt.type]);var Ti=Bt.divisor|0;yt.buffer=Pt,yt.state=La,yt.size=Ur,yt.normalized=Di,yt.type=fi||Pt.dtype,yt.offset=ur,yt.stride=br,yt.divisor=Ti}}Ot[Rt]=En(function(gn,rn){var Ci=gn.attribCache;if(Dt in Ci)return Ci[Dt];var Bi={isStream:!1};return Object.keys(yt).forEach(function(Gi){Bi[Gi]=yt[Gi]}),yt.buffer&&(Bi.buffer=gn.link(yt.buffer),Bi.type=Bi.type||Bi.buffer+\".dtype\"),Ci[Dt]=Bi,Bi})}),Object.keys(Ct).forEach(function(Rt){var Bt=Ct[Rt];function Dt(yt,Pt){var ht=yt.invoke(Pt,Bt),ur=yt.shared,br=yt.constants,Ur=ur.isBufferArgs,Di=ur.buffer,fi={isStream:Pt.def(!1)},Ti=new Yr;Ti.state=La,Object.keys(Ti).forEach(function(Bi){fi[Bi]=Pt.def(\"\"+Ti[Bi])});var gn=fi.buffer,rn=fi.type;Pt(\"if(\",Ur,\"(\",ht,\")){\",fi.isStream,\"=true;\",gn,\"=\",Di,\".createStream(\",Sr,\",\",ht,\");\",rn,\"=\",gn,\".dtype;\",\"}else{\",gn,\"=\",Di,\".getBuffer(\",ht,\");\",\"if(\",gn,\"){\",rn,\"=\",gn,\".dtype;\",'}else if(\"constant\" in ',ht,\"){\",fi.state,\"=\",Na,\";\",\"if(typeof \"+ht+'.constant === 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Rt==\"boolean\"?\"\"+Rt:Bt.link(Rt)})}),Object.keys(at).forEach(function(Ot){var Rt=at[Ot];Ct[Ot]=Un(Rt,function(Bt,Dt){return Bt.invoke(Dt,Rt)})}),Ct}function Vl(Ve,Qe,at,Ct,Ot){var Rt=Ve.static,Bt=Ve.dynamic,Dt=is(Ve,Qe),yt=oa(Ve,Ot),Pt=ba(Ve,yt,Ot),ht=Va(Ve,Ot),ur=Ml(Ve,Ot),br=Zs(Ve,Ot,Dt);function Ur(Ci){var Bi=Pt[Ci];Bi&&(ur[Ci]=Bi)}Ur(ee),Ur(Ji(Q));var Di=Object.keys(ur).length>0,fi={framebuffer:yt,draw:ht,shader:br,state:ur,dirty:Di,scopeVAO:null,drawVAO:null,useVAO:!1,attributes:{}};if(fi.profile=ta(Ve,Ot),fi.uniforms=zo(at,Ot),fi.drawVAO=fi.scopeVAO=ht.vao,!fi.drawVAO&&br.program&&!Dt&&zt.angle_instanced_arrays&&ht.static.elements){var Ti=!0,gn=br.program.attributes.map(function(Ci){var Bi=Qe.static[Ci];return Ti=Ti&&!!Bi,Bi});if(Ti&&gn.length>0){var rn=qi.getVAO(qi.createVAO({attributes:gn,elements:ht.static.elements}));fi.drawVAO=new ei(null,null,null,function(Ci,Bi){return Ci.link(rn)}),fi.useVAO=!0}}return Dt?fi.useVAO=!0:fi.attributes=Qs(Qe,Ot),fi.context=al(Ct,Ot),fi}function ss(Ve,Qe,at){var Ct=Ve.shared,Ot=Ct.context,Rt=Ve.scope();Object.keys(at).forEach(function(Bt){Qe.save(Ot,\".\"+Bt);var Dt=at[Bt],yt=Dt.append(Ve,Qe);Array.isArray(yt)?Rt(Ot,\".\",Bt,\"=[\",yt.join(),\"];\"):Rt(Ot,\".\",Bt,\"=\",yt,\";\")}),Qe(Rt)}function Vs(Ve,Qe,at,Ct){var Ot=Ve.shared,Rt=Ot.gl,Bt=Ot.framebuffer,Dt;ci&&(Dt=Qe.def(Ot.extensions,\".webgl_draw_buffers\"));var yt=Ve.constants,Pt=yt.drawBuffer,ht=yt.backBuffer,ur;at?ur=at.append(Ve,Qe):ur=Qe.def(Bt,\".next\"),Ct||Qe(\"if(\",ur,\"!==\",Bt,\".cur){\"),Qe(\"if(\",ur,\"){\",Rt,\".bindFramebuffer(\",qr,\",\",ur,\".framebuffer);\"),ci&&Qe(Dt,\".drawBuffersWEBGL(\",Pt,\"[\",ur,\".colorAttachments.length]);\"),Qe(\"}else{\",Rt,\".bindFramebuffer(\",qr,\",null);\"),ci&&Qe(Dt,\".drawBuffersWEBGL(\",ht,\");\"),Qe(\"}\",Bt,\".cur=\",ur,\";\"),Ct||Qe(\"}\")}function Ys(Ve,Qe,at){var Ct=Ve.shared,Ot=Ct.gl,Rt=Ve.current,Bt=Ve.next,Dt=Ct.current,yt=Ct.next,Pt=Ve.cond(Dt,\".dirty\");hi.forEach(function(ht){var ur=Ji(ht);if(!(ur in at.state)){var br,Ur;if(ur in Bt){br=Bt[ur],Ur=Rt[ur];var Di=M(Zi[ur].length,function(Ti){return Pt.def(br,\"[\",Ti,\"]\")});Pt(Ve.cond(Di.map(function(Ti,gn){return Ti+\"!==\"+Ur+\"[\"+gn+\"]\"}).join(\"||\")).then(Ot,\".\",mn[ur],\"(\",Di,\");\",Di.map(function(Ti,gn){return Ur+\"[\"+gn+\"]=\"+Ti}).join(\";\"),\";\"))}else{br=Pt.def(yt,\".\",ur);var fi=Ve.cond(br,\"!==\",Dt,\".\",ur);Pt(fi),ur in li?fi(Ve.cond(br).then(Ot,\".enable(\",li[ur],\");\").else(Ot,\".disable(\",li[ur],\");\"),Dt,\".\",ur,\"=\",br,\";\"):fi(Ot,\".\",mn[ur],\"(\",br,\");\",Dt,\".\",ur,\"=\",br,\";\")}}}),Object.keys(at.state).length===0&&Pt(Dt,\".dirty=false;\"),Qe(Pt)}function wa(Ve,Qe,at,Ct){var Ot=Ve.shared,Rt=Ve.current,Bt=Ot.current,Dt=Ot.gl,yt;Si(Object.keys(at)).forEach(function(Pt){var ht=at[Pt];if(!(Ct&&!Ct(ht))){var ur=ht.append(Ve,Qe);if(li[Pt]){var br=li[Pt];Ln(ht)?(yt=Ve.link(ur,{stable:!0}),Qe(Ve.cond(yt).then(Dt,\".enable(\",br,\");\").else(Dt,\".disable(\",br,\");\")),Qe(Bt,\".\",Pt,\"=\",yt,\";\")):(Qe(Ve.cond(ur).then(Dt,\".enable(\",br,\");\").else(Dt,\".disable(\",br,\");\")),Qe(Bt,\".\",Pt,\"=\",ur,\";\"))}else if(Mn(ur)){var Ur=Rt[Pt];Qe(Dt,\".\",mn[Pt],\"(\",ur,\");\",ur.map(function(Di,fi){return Ur+\"[\"+fi+\"]=\"+Di}).join(\";\"),\";\")}else Ln(ht)?(yt=Ve.link(ur,{stable:!0}),Qe(Dt,\".\",mn[Pt],\"(\",yt,\");\",Bt,\".\",Pt,\"=\",yt,\";\")):Qe(Dt,\".\",mn[Pt],\"(\",ur,\");\",Bt,\".\",Pt,\"=\",ur,\";\")}})}function ol(Ve,Qe){Ri&&(Ve.instancing=Qe.def(Ve.shared.extensions,\".angle_instanced_arrays\"))}function io(Ve,Qe,at,Ct,Ot){var Rt=Ve.shared,Bt=Ve.stats,Dt=Rt.current,yt=Rt.timer,Pt=at.profile;function ht(){return typeof performance==\"undefined\"?\"Date.now()\":\"performance.now()\"}var ur,br;function Ur(Ci){ur=Qe.def(),Ci(ur,\"=\",ht(),\";\"),typeof Ot==\"string\"?Ci(Bt,\".count+=\",Ot,\";\"):Ci(Bt,\".count++;\"),Wi&&(Ct?(br=Qe.def(),Ci(br,\"=\",yt,\".getNumPendingQueries();\")):Ci(yt,\".beginQuery(\",Bt,\");\"))}function Di(Ci){Ci(Bt,\".cpuTime+=\",ht(),\"-\",ur,\";\"),Wi&&(Ct?Ci(yt,\".pushScopeStats(\",br,\",\",yt,\".getNumPendingQueries(),\",Bt,\");\"):Ci(yt,\".endQuery();\"))}function fi(Ci){var Bi=Qe.def(Dt,\".profile\");Qe(Dt,\".profile=\",Ci,\";\"),Qe.exit(Dt,\".profile=\",Bi,\";\")}var Ti;if(Pt){if(Ln(Pt)){Pt.enable?(Ur(Qe),Di(Qe.exit),fi(\"true\")):fi(\"false\");return}Ti=Pt.append(Ve,Qe),fi(Ti)}else Ti=Qe.def(Dt,\".profile\");var gn=Ve.block();Ur(gn),Qe(\"if(\",Ti,\"){\",gn,\"}\");var rn=Ve.block();Di(rn),Qe.exit(\"if(\",Ti,\"){\",rn,\"}\")}function Y(Ve,Qe,at,Ct,Ot){var Rt=Ve.shared;function Bt(yt){switch(yt){case Co:case Ps:case hl:return 2;case Qa:case Ts:case Ul:return 3;case mo:case wo:case Lu:return 4;default:return 1}}function Dt(yt,Pt,ht){var ur=Rt.gl,br=Qe.def(yt,\".location\"),Ur=Qe.def(Rt.attributes,\"[\",br,\"]\"),Di=ht.state,fi=ht.buffer,Ti=[ht.x,ht.y,ht.z,ht.w],gn=[\"buffer\",\"normalized\",\"offset\",\"stride\"];function rn(){Qe(\"if(!\",Ur,\".buffer){\",ur,\".enableVertexAttribArray(\",br,\");}\");var Bi=ht.type,Gi;if(ht.size?Gi=Qe.def(ht.size,\"||\",Pt):Gi=Pt,Qe(\"if(\",Ur,\".type!==\",Bi,\"||\",Ur,\".size!==\",Gi,\"||\",gn.map(function(zn){return Ur+\".\"+zn+\"!==\"+ht[zn]}).join(\"||\"),\"){\",ur,\".bindBuffer(\",Sr,\",\",fi,\".buffer);\",ur,\".vertexAttribPointer(\",[br,Gi,Bi,ht.normalized,ht.stride,ht.offset],\");\",Ur,\".type=\",Bi,\";\",Ur,\".size=\",Gi,\";\",gn.map(function(zn){return Ur+\".\"+zn+\"=\"+ht[zn]+\";\"}).join(\"\"),\"}\"),Ri){var sn=ht.divisor;Qe(\"if(\",Ur,\".divisor!==\",sn,\"){\",Ve.instancing,\".vertexAttribDivisorANGLE(\",[br,sn],\");\",Ur,\".divisor=\",sn,\";}\")}}function Ci(){Qe(\"if(\",Ur,\".buffer){\",ur,\".disableVertexAttribArray(\",br,\");\",Ur,\".buffer=null;\",\"}if(\",Ca.map(function(Bi,Gi){return Ur+\".\"+Bi+\"!==\"+Ti[Gi]}).join(\"||\"),\"){\",ur,\".vertexAttrib4f(\",br,\",\",Ti,\");\",Ca.map(function(Bi,Gi){return Ur+\".\"+Bi+\"=\"+Ti[Gi]+\";\"}).join(\"\"),\"}\")}Di===La?rn():Di===Na?Ci():(Qe(\"if(\",Di,\"===\",La,\"){\"),rn(),Qe(\"}else{\"),Ci(),Qe(\"}\"))}Ct.forEach(function(yt){var Pt=yt.name,ht=at.attributes[Pt],ur;if(ht){if(!Ot(ht))return;ur=ht.append(Ve,Qe)}else{if(!Ot(ia))return;var br=Ve.scopeAttrib(Pt);ur={},Object.keys(new Yr).forEach(function(Ur){ur[Ur]=Qe.def(br,\".\",Ur)})}Dt(Ve.link(yt),Bt(yt.info.type),ur)})}function D(Ve,Qe,at,Ct,Ot,Rt){for(var Bt=Ve.shared,Dt=Bt.gl,yt,Pt=0;Pt<Ct.length;++Pt){var ht=Ct[Pt],ur=ht.name,br=ht.info.type,Ur=at.uniforms[ur],Di=Ve.link(ht),fi=Di+\".location\",Ti;if(Ur){if(!Ot(Ur))continue;if(Ln(Ur)){var gn=Ur.value;if(br===dc||br===Tl){var rn=Ve.link(gn._texture||gn.color[0]._texture);Qe(Dt,\".uniform1i(\",fi,\",\",rn+\".bind());\"),Qe.exit(rn,\".unbind();\")}else if(br===au||br===Js||br===Ql){var Ci=Ve.global.def(\"new Float32Array([\"+Array.prototype.slice.call(gn)+\"])\"),Bi=2;br===Js?Bi=3:br===Ql&&(Bi=4),Qe(Dt,\".uniformMatrix\",Bi,\"fv(\",fi,\",false,\",Ci,\");\")}else{switch(br){case $a:yt=\"1f\";break;case Co:yt=\"2f\";break;case Qa:yt=\"3f\";break;case mo:yt=\"4f\";break;case To:yt=\"1i\";break;case Bo:yt=\"1i\";break;case hl:yt=\"2i\";break;case Ps:yt=\"2i\";break;case Ul:yt=\"3i\";break;case Ts:yt=\"3i\";break;case Lu:yt=\"4i\";break;case wo:yt=\"4i\";break}Qe(Dt,\".uniform\",yt,\"(\",fi,\",\",Mn(gn)?Array.prototype.slice.call(gn):gn,\");\")}continue}else Ti=Ur.append(Ve,Qe)}else{if(!Ot(ia))continue;Ti=Qe.def(Bt.uniforms,\"[\",bt.id(ur),\"]\")}br===dc?Qe(\"if(\",Ti,\"&&\",Ti,'._reglType===\"framebuffer\"){',Ti,\"=\",Ti,\".color[0];\",\"}\"):br===Tl&&Qe(\"if(\",Ti,\"&&\",Ti,'._reglType===\"framebufferCube\"){',Ti,\"=\",Ti,\".color[0];\",\"}\");var Gi=1;switch(br){case dc:case Tl:var sn=Qe.def(Ti,\"._texture\");Qe(Dt,\".uniform1i(\",fi,\",\",sn,\".bind());\"),Qe.exit(sn,\".unbind();\");continue;case Bo:case To:yt=\"1i\";break;case Ps:case hl:yt=\"2i\",Gi=2;break;case Ts:case Ul:yt=\"3i\",Gi=3;break;case wo:case Lu:yt=\"4i\",Gi=4;break;case $a:yt=\"1f\";break;case Co:yt=\"2f\",Gi=2;break;case Qa:yt=\"3f\",Gi=3;break;case mo:yt=\"4f\",Gi=4;break;case au:yt=\"Matrix2fv\";break;case Js:yt=\"Matrix3fv\";break;case Ql:yt=\"Matrix4fv\";break}if(yt.charAt(0)===\"M\"){Qe(Dt,\".uniform\",yt,\"(\",fi,\",\");var zn=Math.pow(br-au+2,2),Ja=Ve.global.def(\"new Float32Array(\",zn,\")\");Array.isArray(Ti)?Qe(\"false,(\",M(zn,function(ms){return Ja+\"[\"+ms+\"]=\"+Ti[ms]}),\",\",Ja,\")\"):Qe(\"false,(Array.isArray(\",Ti,\")||\",Ti,\" instanceof Float32Array)?\",Ti,\":(\",M(zn,function(ms){return Ja+\"[\"+ms+\"]=\"+Ti+\"[\"+ms+\"]\"}),\",\",Ja,\")\"),Qe(\");\")}else if(Gi>1){for(var co=[],ts=[],so=0;so<Gi;++so)Array.isArray(Ti)?ts.push(Ti[so]):ts.push(Qe.def(Ti+\"[\"+so+\"]\")),Rt&&co.push(Qe.def());Rt&&Qe(\"if(!\",Ve.batchId,\"||\",co.map(function(ms,ou){return ms+\"!==\"+ts[ou]}).join(\"||\"),\"){\",co.map(function(ms,ou){return ms+\"=\"+ts[ou]+\";\"}).join(\"\")),Qe(Dt,\".uniform\",yt,\"(\",fi,\",\",ts.join(\",\"),\");\"),Rt&&Qe(\"}\")}else{if(Rt){var Zo=Qe.def();Qe(\"if(!\",Ve.batchId,\"||\",Zo,\"!==\",Ti,\"){\",Zo,\"=\",Ti,\";\")}Qe(Dt,\".uniform\",yt,\"(\",fi,\",\",Ti,\");\"),Rt&&Qe(\"}\")}}}function J(Ve,Qe,at,Ct){var Ot=Ve.shared,Rt=Ot.gl,Bt=Ot.draw,Dt=Ct.draw;function yt(){var Gi=Dt.elements,sn,zn=Qe;return Gi?((Gi.contextDep&&Ct.contextDynamic||Gi.propDep)&&(zn=at),sn=Gi.append(Ve,zn),Dt.elementsActive&&zn(\"if(\"+sn+\")\"+Rt+\".bindBuffer(\"+Or+\",\"+sn+\".buffer.buffer);\")):(sn=zn.def(),zn(sn,\"=\",Bt,\".\",Tt,\";\",\"if(\",sn,\"){\",Rt,\".bindBuffer(\",Or,\",\",sn,\".buffer.buffer);}\",\"else if(\",Ot.vao,\".currentVAO){\",sn,\"=\",Ve.shared.elements+\".getElements(\"+Ot.vao,\".currentVAO.elements);\",an?\"\":\"if(\"+sn+\")\"+Rt+\".bindBuffer(\"+Or+\",\"+sn+\".buffer.buffer);\",\"}\")),sn}function Pt(){var Gi=Dt.count,sn,zn=Qe;return Gi?((Gi.contextDep&&Ct.contextDynamic||Gi.propDep)&&(zn=at),sn=Gi.append(Ve,zn)):sn=zn.def(Bt,\".\",Kt),sn}var ht=yt();function ur(Gi){var sn=Dt[Gi];return sn?sn.contextDep&&Ct.contextDynamic||sn.propDep?sn.append(Ve,at):sn.append(Ve,Qe):Qe.def(Bt,\".\",Gi)}var br=ur(Yt),Ur=ur(xr),Di=Pt();if(typeof Di==\"number\"){if(Di===0)return}else at(\"if(\",Di,\"){\"),at.exit(\"}\");var fi,Ti;Ri&&(fi=ur(Ir),Ti=Ve.instancing);var gn=ht+\".type\",rn=Dt.elements&&Ln(Dt.elements)&&!Dt.vaoActive;function Ci(){function Gi(){at(Ti,\".drawElementsInstancedANGLE(\",[br,Di,gn,Ur+\"<<((\"+gn+\"-\"+Ra+\")>>1)\",fi],\");\")}function sn(){at(Ti,\".drawArraysInstancedANGLE(\",[br,Ur,Di,fi],\");\")}ht&&ht!==\"null\"?rn?Gi():(at(\"if(\",ht,\"){\"),Gi(),at(\"}else{\"),sn(),at(\"}\")):sn()}function Bi(){function Gi(){at(Rt+\".drawElements(\"+[br,Di,gn,Ur+\"<<((\"+gn+\"-\"+Ra+\")>>1)\"]+\");\")}function sn(){at(Rt+\".drawArrays(\"+[br,Ur,Di]+\");\")}ht&&ht!==\"null\"?rn?Gi():(at(\"if(\",ht,\"){\"),Gi(),at(\"}else{\"),sn(),at(\"}\")):sn()}Ri&&(typeof fi!=\"number\"||fi>=0)?typeof fi==\"string\"?(at(\"if(\",fi,\">0){\"),Ci(),at(\"}else if(\",fi,\"<0){\"),Bi(),at(\"}\")):Ci():Bi()}function q(Ve,Qe,at,Ct,Ot){var Rt=kn(),Bt=Rt.proc(\"body\",Ot);return Ri&&(Rt.instancing=Bt.def(Rt.shared.extensions,\".angle_instanced_arrays\")),Ve(Rt,Bt,at,Ct),Rt.compile().body}function 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Jm=ye((F_r,GNe)=>{\"use strict\";var NVt=HS();function VNe(e){return[e]}GNe.exports={keyFun:function(e){return e.key},repeat:VNe,descend:NVt,wrap:VNe,unwrap:function(e){return e[0]}}});var EK=ye((z_r,eUe)=>{\"use strict\";var bh=Pk(),tm=Oa(),UVt=Jm().keyFun,zz=Jm().repeat,x5=Dr().sorterAsc,VVt=Dr().strTranslate,HNe=bh.bar.snapRatio;function jNe(e,t){return e*(1-HNe)+t*HNe}var WNe=bh.bar.snapClose;function GVt(e,t){return e*(1-WNe)+t*WNe}function qz(e,t,r,n){if(HVt(r,n))return r;var i=e?-1:1,a=0,o=t.length-1;if(i<0){var s=a;a=o,o=s}for(var l=t[a],u=l,c=a;i*c<i*o;c+=i){var f=c+i,h=t[f];if(i*r<i*GVt(l,h))return jNe(l,u);if(i*r<i*h||f===o)return jNe(h,l);u=l,l=h}}function HVt(e,t){for(var r=0;r<t.length;r++)if(e>=t[r][0]&&e<=t[r][1])return!0;return!1}function jVt(e){e.attr(\"x\",-bh.bar.captureWidth/2).attr(\"width\",bh.bar.captureWidth)}function WVt(e){e.attr(\"visibility\",\"visible\").style(\"visibility\",\"visible\").attr(\"fill\",\"yellow\").attr(\"opacity\",0)}function XVt(e){if(!e.brush.filterSpecified)return\"0,\"+e.height;for(var t=XNe(e.brush.filter.getConsolidated(),e.height),r=[0],n,i,a,o=t.length?t[0][0]:null,s=0;s<t.length;s++)n=t[s],i=n[1]-n[0],r.push(o),r.push(i),a=s+1,a<t.length&&(o=t[a][0]-n[1]);return r.push(e.height),r}function XNe(e,t){return e.map(function(r){return r.map(function(n){return Math.max(0,n*t)}).sort(x5)})}function ZVt(e,t){var r=bh.bar.handleHeight;if(!(t>e[1]+r||t<e[0]-r))return t>=.9*e[1]+.1*e[0]?\"n\":t<=.9*e[0]+.1*e[1]?\"s\":\"ns\"}function ZNe(){tm.select(document.body).style(\"cursor\",null)}function MK(e){e.attr(\"stroke-dasharray\",XVt)}function Oz(e,t){var r=tm.select(e).selectAll(\".highlight, .highlight-shadow\"),n=t?r.transition().duration(bh.bar.snapDuration).each(\"end\",t):r;MK(n)}function YNe(e,t){var r=e.brush,n=r.filterSpecified,i=NaN,a={},o;if(n){var s=e.height,l=r.filter.getConsolidated(),u=XNe(l,s),c=NaN,f=NaN,h=NaN;for(o=0;o<=u.length;o++){var d=u[o];if(d&&d[0]<=t&&t<=d[1]){c=o;break}else if(f=o?o-1:NaN,d&&d[0]>t){h=o;break}}if(i=c,isNaN(i)&&(isNaN(f)||isNaN(h)?i=isNaN(f)?h:f:i=t-u[f][1]<u[h][0]-t?f:h),!isNaN(i)){var v=u[i],_=ZVt(v,t);_&&(a.interval=l[i],a.intervalPix=v,a.region=_)}}if(e.ordinal&&!a.region){var b=e.unitTickvals,p=e.unitToPaddedPx.invert(t);for(o=0;o<b.length;o++){var k=[b[Math.max(o-1,0)]*.25+b[o]*.75,b[Math.min(o+1,b.length-1)]*.25+b[o]*.75];if(p>=k[0]&&p<=k[1]){a.clickableOrdinalRange=k;break}}}return a}function YVt(e,t){tm.event.sourceEvent.stopPropagation();var r=t.height-tm.mouse(e)[1]-2*bh.verticalPadding,n=t.unitToPaddedPx.invert(r),i=t.brush,a=YNe(t,r),o=a.interval,s=i.svgBrush;if(s.wasDragged=!1,s.grabbingBar=a.region===\"ns\",s.grabbingBar){var l=o.map(t.unitToPaddedPx);s.grabPoint=r-l[0]-bh.verticalPadding,s.barLength=l[1]-l[0]}s.clickableOrdinalRange=a.clickableOrdinalRange,s.stayingIntervals=t.multiselect&&i.filterSpecified?i.filter.getConsolidated():[],o&&(s.stayingIntervals=s.stayingIntervals.filter(function(u){return u[0]!==o[0]&&u[1]!==o[1]})),s.startExtent=a.region?o[a.region===\"s\"?1:0]:n,t.parent.inBrushDrag=!0,s.brushStartCallback()}function KNe(e,t){tm.event.sourceEvent.stopPropagation();var r=t.height-tm.mouse(e)[1]-2*bh.verticalPadding,n=t.brush.svgBrush;n.wasDragged=!0,n._dragging=!0,n.grabbingBar?n.newExtent=[r-n.grabPoint,r+n.barLength-n.grabPoint].map(t.unitToPaddedPx.invert):n.newExtent=[n.startExtent,t.unitToPaddedPx.invert(r)].sort(x5),t.brush.filterSpecified=!0,n.extent=n.stayingIntervals.concat([n.newExtent]),n.brushCallback(t),Oz(e.parentNode)}function KVt(e,t){var r=t.brush,n=r.filter,i=r.svgBrush;i._dragging||(JNe(e,t),KNe(e,t),t.brush.svgBrush.wasDragged=!1),i._dragging=!1;var a=tm.event;a.sourceEvent.stopPropagation();var o=i.grabbingBar;if(i.grabbingBar=!1,i.grabLocation=void 0,t.parent.inBrushDrag=!1,ZNe(),!i.wasDragged){i.wasDragged=void 0,i.clickableOrdinalRange?r.filterSpecified&&t.multiselect?i.extent.push(i.clickableOrdinalRange):(i.extent=[i.clickableOrdinalRange],r.filterSpecified=!0):o?(i.extent=i.stayingIntervals,i.extent.length===0&&SK(r)):SK(r),i.brushCallback(t),Oz(e.parentNode),i.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);return}var s=function(){n.set(n.getConsolidated())};if(t.ordinal){var l=t.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),i.newExtent=[qz(0,l,i.newExtent[0],i.stayingIntervals),qz(1,l,i.newExtent[1],i.stayingIntervals)];var u=i.newExtent[1]>i.newExtent[0];i.extent=i.stayingIntervals.concat(u?[i.newExtent]:[]),i.extent.length||SK(r),i.brushCallback(t),u?Oz(e.parentNode,s):(s(),Oz(e.parentNode))}else s();i.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}function JNe(e,t){var r=t.height-tm.mouse(e)[1]-2*bh.verticalPadding,n=YNe(t,r),i=\"crosshair\";n.clickableOrdinalRange?i=\"pointer\":n.region&&(i=n.region+\"-resize\"),tm.select(document.body).style(\"cursor\",i)}function JVt(e){e.on(\"mousemove\",function(t){tm.event.preventDefault(),t.parent.inBrushDrag||JNe(this,t)}).on(\"mouseleave\",function(t){t.parent.inBrushDrag||ZNe()}).call(tm.behavior.drag().on(\"dragstart\",function(t){YVt(this,t)}).on(\"drag\",function(t){KNe(this,t)}).on(\"dragend\",function(t){KVt(this,t)}))}function $Ne(e,t){return e[0]-t[0]}function $Vt(e,t,r){var n=r._context.staticPlot,i=e.selectAll(\".background\").data(zz);i.enter().append(\"rect\").classed(\"background\",!0).call(jVt).call(WVt).style(\"pointer-events\",n?\"none\":\"auto\").attr(\"transform\",VVt(0,bh.verticalPadding)),i.call(JVt).attr(\"height\",function(s){return s.height-bh.verticalPadding});var a=e.selectAll(\".highlight-shadow\").data(zz);a.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-bh.bar.width/2).attr(\"stroke-width\",bh.bar.width+bh.bar.strokeWidth).attr(\"stroke\",t).attr(\"opacity\",bh.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),a.attr(\"y1\",function(s){return s.height}).call(MK);var o=e.selectAll(\".highlight\").data(zz);o.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-bh.bar.width/2).attr(\"stroke-width\",bh.bar.width-bh.bar.strokeWidth).attr(\"stroke\",bh.bar.fillColor).attr(\"opacity\",bh.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),o.attr(\"y1\",function(s){return s.height}).call(MK)}function QVt(e,t,r){var n=e.selectAll(\".\"+bh.cn.axisBrush).data(zz,UVt);n.enter().append(\"g\").classed(bh.cn.axisBrush,!0),$Vt(n,t,r)}function eGt(e){return e.svgBrush.extent.map(function(t){return t.slice()})}function SK(e){e.filterSpecified=!1,e.svgBrush.extent=[[-1/0,1/0]]}function tGt(e){return function(r){var n=r.brush,i=eGt(n),a=i.slice();n.filter.set(a),e()}}function QNe(e){for(var t=e.slice(),r=[],n,i=t.shift();i;){for(n=i.slice();(i=t.shift())&&i[0]<=n[1];)n[1]=Math.max(n[1],i[1]);r.push(n)}return r.length===1&&r[0][0]>r[0][1]&&(r=[]),r}function rGt(){var e=[],t,r;return{set:function(n){e=n.map(function(i){return i.slice().sort(x5)}).sort($Ne),e.length===1&&e[0][0]===-1/0&&e[0][1]===1/0&&(e=[[0,-1]]),t=QNe(e),r=e.reduce(function(i,a){return[Math.min(i[0],a[0]),Math.max(i[1],a[1])]},[1/0,-1/0])},get:function(){return e.slice()},getConsolidated:function(){return t},getBounds:function(){return r}}}function iGt(e,t,r,n,i,a){var o=rGt();return o.set(r),{filter:o,filterSpecified:t,svgBrush:{extent:[],brushStartCallback:n,brushCallback:tGt(i),brushEndCallback:a}}}function nGt(e,t){if(Array.isArray(e[0])?(e=e.map(function(n){return n.sort(x5)}),t.multiselect?e=QNe(e.sort($Ne)):e=[e[0]]):e=[e.sort(x5)],t.tickvals){var r=t.tickvals.slice().sort(x5);if(e=e.map(function(n){var i=[qz(0,r,n[0],[]),qz(1,r,n[1],[])];if(i[1]>i[0])return i}).filter(function(n){return n}),!e.length)return}return e.length>1?e:e[0]}eUe.exports={makeBrush:iGt,ensureAxisBrush:QVt,cleanRanges:nGt}});var iUe=ye((O_r,rUe)=>{\"use strict\";var mx=Dr(),aGt=pv().hasColorscale,oGt=Qh(),sGt=Cc().defaults,lGt=Yd(),uGt=ho(),tUe=AK(),cGt=EK(),kK=Pk().maxDimensionCount,fGt=kz();function hGt(e,t,r,n,i){var a=i(\"line.color\",r);if(aGt(e,\"line\")&&mx.isArrayOrTypedArray(a)){if(a.length)return i(\"line.colorscale\"),oGt(e,t,n,i,{prefix:\"line.\",cLetter:\"c\"}),a.length;t.line.color=r}return 1/0}function dGt(e,t,r,n){function i(u,c){return mx.coerce(e,t,tUe.dimensions,u,c)}var a=i(\"values\"),o=i(\"visible\");if(a&&a.length||(o=t.visible=!1),o){i(\"label\"),i(\"tickvals\"),i(\"ticktext\"),i(\"tickformat\");var s=i(\"range\");t._ax={_id:\"y\",type:\"linear\",showexponent:\"all\",exponentformat:\"B\",range:s},uGt.setConvert(t._ax,n.layout),i(\"multiselect\");var l=i(\"constraintrange\");l&&(t.constraintrange=cGt.cleanRanges(l,t))}}rUe.exports=function(t,r,n,i){function a(c,f){return mx.coerce(t,r,tUe,c,f)}var o=t.dimensions;Array.isArray(o)&&o.length>kK&&(mx.log(\"parcoords traces support up to \"+kK+\" dimensions at the moment\"),o.splice(kK));var s=lGt(t,r,{name:\"dimensions\",layout:i,handleItemDefaults:dGt}),l=hGt(t,r,n,i,a);sGt(r,i,a),(!Array.isArray(s)||!s.length)&&(r.visible=!1),fGt(r,s,\"values\",l);var u=mx.extendFlat({},i.font,{size:Math.round(i.font.size/1.2)});mx.coerceFont(a,\"labelfont\",u),mx.coerceFont(a,\"tickfont\",u,{autoShadowDflt:!0}),mx.coerceFont(a,\"rangefont\",u),a(\"labelangle\"),a(\"labelside\"),a(\"unselected.line.color\"),a(\"unselected.line.opacity\")}});var aUe=ye((q_r,nUe)=>{\"use strict\";var vGt=Dr().isArrayOrTypedArray,CK=tc(),pGt=Jm().wrap;nUe.exports=function(t,r){var n,i;return CK.hasColorscale(r,\"line\")&&vGt(r.line.color)?(n=r.line.color,i=CK.extractOpts(r.line).colorscale,CK.calc(t,r,{vals:n,containerStr:\"line\",cLetter:\"c\"})):(n=gGt(r._length),i=[[0,r.line.color],[1,r.line.color]]),pGt({lineColor:n,cscale:i})};function gGt(e){for(var t=new Array(e),r=0;r<e;r++)t[r]=.5;return t}});function mGt(e){var c,f;var t,r=[],n=1,i;if(typeof e==\"number\")return{space:\"rgb\",values:[e>>>16,(e&65280)>>>8,e&255],alpha:1};if(typeof e==\"number\")return{space:\"rgb\",values:[e>>>16,(e&65280)>>>8,e&255],alpha:1};if(e=String(e).toLowerCase(),LK.default[e])r=LK.default[e].slice(),i=\"rgb\";else if(e===\"transparent\")n=0,i=\"rgb\",r=[0,0,0];else if(e[0]===\"#\"){var a=e.slice(1),o=a.length,s=o<=4;n=1,s?(r=[parseInt(a[0]+a[0],16),parseInt(a[1]+a[1],16),parseInt(a[2]+a[2],16)],o===4&&(n=parseInt(a[3]+a[3],16)/255)):(r=[parseInt(a[0]+a[1],16),parseInt(a[2]+a[3],16),parseInt(a[4]+a[5],16)],o===8&&(n=parseInt(a[6]+a[7],16)/255)),r[0]||(r[0]=0),r[1]||(r[1]=0),r[2]||(r[2]=0),i=\"rgb\"}else if(t=/^((?:rgba?|hs[lvb]a?|hwba?|cmyk?|xy[zy]|gray|lab|lchu?v?|[ly]uv|lms|oklch|oklab|color))\\s*\\(([^\\)]*)\\)/.exec(e)){var l=t[1];i=l.replace(/a$/,\"\");var u=i===\"cmyk\"?4:i===\"gray\"?1:3;r=t[2].trim().split(/\\s*[,\\/]\\s*|\\s+/),i===\"color\"&&(i=r.shift()),r=r.map(function(h,d){if(h[h.length-1]===\"%\")return h=parseFloat(h)/100,d===3?h:i===\"rgb\"?h*255:i[0]===\"h\"||i[0]===\"l\"&&!d?h*100:i===\"lab\"?h*125:i===\"lch\"?d<2?h*150:h*360:i[0]===\"o\"&&!d?h:i===\"oklab\"?h*.4:i===\"oklch\"?d<2?h*.4:h*360:h;if(i[d]===\"h\"||d===2&&i[i.length-1]===\"h\"){if(oUe[h]!==void 0)return oUe[h];if(h.endsWith(\"deg\"))return parseFloat(h);if(h.endsWith(\"turn\"))return parseFloat(h)*360;if(h.endsWith(\"grad\"))return parseFloat(h)*360/400;if(h.endsWith(\"rad\"))return parseFloat(h)*180/Math.PI}return h===\"none\"?0:parseFloat(h)}),n=r.length>u?r.pop():1}else/[0-9](?:\\s|\\/|,)/.test(e)&&(r=e.match(/([0-9]+)/g).map(function(h){return parseFloat(h)}),i=((f=(c=e.match(/([a-z])/ig))==null?void 0:c.join(\"\"))==null?void 0:f.toLowerCase())||\"rgb\");return{space:i,values:r,alpha:n}}var LK,sUe,oUe,lUe=gu(()=>{LK=gtt(gX(),1),sUe=mGt,oUe={red:0,orange:60,yellow:120,green:180,blue:240,purple:300}});var Ik,PK=gu(()=>{Ik={name:\"rgb\",min:[0,0,0],max:[255,255,255],channel:[\"red\",\"green\",\"blue\"],alias:[\"RGB\"]}});var Bz,uUe=gu(()=>{PK();Bz={name:\"hsl\",min:[0,0,0],max:[360,100,100],channel:[\"hue\",\"saturation\",\"lightness\"],alias:[\"HSL\"],rgb:function(e){var t=e[0]/360,r=e[1]/100,n=e[2]/100,i,a,o,s,l,u=0;if(r===0)return l=n*255,[l,l,l];for(a=n<.5?n*(1+r):n+r-n*r,i=2*n-a,s=[0,0,0];u<3;)o=t+1/3*-(u-1),o<0?o++:o>1&&o--,l=6*o<1?i+(a-i)*6*o:2*o<1?a:3*o<2?i+(a-i)*(2/3-o)*6:i,s[u++]=l*255;return s}};Ik.hsl=function(e){var t=e[0]/255,r=e[1]/255,n=e[2]/255,i=Math.min(t,r,n),a=Math.max(t,r,n),o=a-i,s,l,u;return a===i?s=0:t===a?s=(r-n)/o:r===a?s=2+(n-t)/o:n===a&&(s=4+(t-r)/o),s=Math.min(s*60,360),s<0&&(s+=360),u=(i+a)/2,a===i?l=0:u<=.5?l=o/(a+i):l=o/(2-a-i),[s,l*100,u*100]}});var fUe={};cee(fUe,{default:()=>cUe});function cUe(e){Array.isArray(e)&&e.raw&&(e=String.raw(...arguments)),e instanceof Number&&(e=+e);var t,r,n,i=sUe(e);if(!i.space)return[];let a=i.space[0]===\"h\"?Bz.min:Ik.min,o=i.space[0]===\"h\"?Bz.max:Ik.max;return t=Array(3),t[0]=Math.min(Math.max(i.values[0],a[0]),o[0]),t[1]=Math.min(Math.max(i.values[1],a[1]),o[1]),t[2]=Math.min(Math.max(i.values[2],a[2]),o[2]),i.space[0]===\"h\"&&(t=Bz.rgb(t)),t.push(Math.min(Math.max(i.alpha,0),1)),t}var hUe=gu(()=>{lUe();PK();uUe()});var IK=ye(Nz=>{\"use strict\";var yGt=Dr().isTypedArray;Nz.convertTypedArray=function(e){return yGt(e)?Array.prototype.slice.call(e):e};Nz.isOrdinal=function(e){return!!e.tickvals};Nz.isVisible=function(e){return e.visible||!(\"visible\"in e)}});var wUe=ye((X_r,bUe)=>{\"use strict\";var _Gt=[\"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",
       "`),xGt=[\"precision highp float;\",\"\",\"varying vec4 fragColor;\",\"\",\"void main() {\",\"    gl_FragColor = fragColor;\",\"}\"].join(`\n",
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r=t.context,n=t.pick,i=t.regl,a=i._gl,o=a.getParameter(a.ALIASED_LINE_WIDTH_RANGE),s=Math.max(o[0],Math.min(o[1],t.viewModel.plotGlPixelRatio)),l={currentRafs:{},drawCompleted:!0,clearOnly:!1},u,c,f,h,d=CGt(i),v,_=i.texture(pUe),b=[];k(t);var p=i({profile:!1,blend:{enable:r,func:{srcRGB:\"src alpha\",dstRGB:\"one minus src 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k(M){u=M.model,c=M.viewModel,f=c.dimensions.slice(),h=f[0]?f[0].values.length:0;var g=u.lines,P=n?g.color.map(function(z,O){return O/g.color.length}):g.color,T=MGt(h,f,P);kGt(d,h,T),!r&&!n&&(_=i.texture(yUe.extendFlat({data:SGt(u.unitToColor,255)},pUe)))}function E(M){var g,P,T,z=[[],[]];for(T=0;T<64;T++){var O=!M&&T<f.length?f[T].brush.filter.getBounds():[-1/0,1/0];z[0][T]=O[0],z[1][T]=O[1]}var V=Uz*8,G=new Array(V);for(g=0;g<V;g++)G[g]=255;if(!M)for(g=0;g<f.length;g++){var Z=g%8,j=(g-Z)/8,N=Math.pow(2,Z),H=f[g],te=H.brush.filter.get();if(!(te.length<2)){var oe=mUe(te[0])[1];for(P=1;P<te.length;P++){var _e=mUe(te[P]);for(T=oe+1;T<_e[0];T++)G[T*8+j]&=~N;oe=Math.max(oe,_e[1])}}}var Ee={shape:[8,Uz],format:\"alpha\",type:\"uint8\",mag:\"nearest\",min:\"nearest\",data:G};return v?v(Ee):v=i.texture(Ee),{maskTexture:v,maskHeight:Uz,loA:z[0].slice(0,16),loB:z[0].slice(16,32),loC:z[0].slice(32,48),loD:z[0].slice(48,64),hiA:z[1].slice(0,16),hiB:z[1].slice(16,32),hiC:z[1].slice(32,48),hiD:z[1].slice(48,64)}}function S(M,g,P){var T=M.length,z,O,V,G=1/0,Z=-1/0;for(z=0;z<T;z++)M[z].dim0.canvasX<G&&(G=M[z].dim0.canvasX,O=z),M[z].dim1.canvasX>Z&&(Z=M[z].dim1.canvasX,V=z);T===0&&_Ue(i,0,0,u.canvasWidth,u.canvasHeight);var j=E(r);for(z=0;z<T;z++){var N=M[z],H=N.dim0.crossfilterDimensionIndex,te=N.dim1.crossfilterDimensionIndex,oe=N.canvasX,_e=N.canvasY,Ee=oe+N.panelSizeX,Ce=N.plotGlPixelRatio;if(g||!b[H]||b[H][0]!==oe||b[H][1]!==Ee){b[H]=[oe,Ee];var me=LGt(u,O,V,z,H,te,oe,_e,N.panelSizeX,N.panelSizeY,N.dim0.crossfilterDimensionIndex,r?0:n?2:1,j,Ce);l.clearOnly=P;var ie=g?u.lines.blockLineCount:h;TGt(i,p,l,ie,h,me)}}}function L(M,g){return i.read({x:M,y:g,width:1,height:1,data:vUe}),vUe}function x(M,g,P,T){var z=new Uint8Array(4*P*T);return 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o=i[a].values,s=i[a]._ax;s&&(s.range?s.range=qK(s.range[0],s.range[1]):s.range=RUe(o,n._length),s.dtick||(s.dtick=.01*(Math.abs(s.range[1]-s.range[0])||1)),s.tickformat=i[a].tickformat,LUe.calcTicks(s),s.cleanRange())}}function DUe(e,t){return LUe.tickText(e._ax,t,!1).text}function EUe(e,t){if(e.ordinal)return\"\";var r=e.domainScale.domain(),n=r[t?r.length-1:0];return DUe(e.model.dimensions[e.visibleIndex],n)}FUe.exports=function(t,r,n,i){var a=t._context.staticPlot,o=t._fullLayout,s=o._toppaper,l=o._glcontainer,u=t._context.plotGlPixelRatio,c=t._fullLayout.paper_bgcolor;GGt(r);var f=VGt(),h=r.filter(function(z){return PUe(z).trace.visible}).map(NGt.bind(0,n)).map(UGt.bind(0,f,i));l.each(function(z,O){return l1.extendFlat(z,h[O])});var d=l.selectAll(\".gl-canvas\").each(function(z){z.viewModel=h[0],z.viewModel.plotGlPixelRatio=u,z.viewModel.paperColor=c,z.model=z.viewModel?z.viewModel.model:null}),v=null,_=d.filter(function(z){return 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l=i.font;w5.coerceFont(a,\"labelfont\",l,{overrideDflt:{size:Math.round(l.size)}}),w5.coerceFont(a,\"tickfont\",l,{autoShadowDflt:!0,overrideDflt:{size:Math.round(l.size/1.2)}})}});var aVe=ye((txr,nVe)=>{\"use strict\";var lHt=Jm().wrap,uHt=pv().hasColorscale,cHt=gv(),fHt=JO(),hHt=So(),Fk=Dr(),dHt=Eo();nVe.exports=function(t,r){var n=Fk.filterVisible(r.dimensions);if(n.length===0)return[];var i=n.map(function(g){var P;if(g.categoryorder===\"trace\")P=null;else if(g.categoryorder===\"array\")P=g.categoryarray;else{P=fHt(g.values);for(var T=!0,z=0;z<P.length;z++)if(!dHt(P[z])){T=!1;break}P.sort(T?Fk.sorterAsc:void 0),g.categoryorder===\"category descending\"&&(P=P.reverse())}return xHt(g.values,P)}),a,o,s;Fk.isArrayOrTypedArray(r.counts)?a=r.counts:a=[r.counts],bHt(n),n.forEach(function(g,P){wHt(g,i[P])});var l=r.line,u;l?(uHt(r,\"line\")&&cHt(t,r,{vals:r.line.color,containerStr:\"line\",cLetter:\"c\"}),u=hHt.tryColorscale(l)):u=Fk.identity;function c(g){var P,T;return Fk.isArrayOrTypedArray(l.color)?(P=l.color[g%l.color.length],T=P):P=l.color,{color:u(P),rawColor:T}}var f=n[0].values.length,h={},d=i.map(function(g){return g.inds});s=0;var v,_;for(v=0;v<f;v++){var b=[];for(_=0;_<d.length;_++)b.push(d[_][v]);o=a[v%a.length],s+=o;var p=c(v),k=b+\"-\"+p.rawColor;h[k]===void 0&&(h[k]=yHt(b,p.color,p.rawColor)),_Ht(h[k],v,o)}var E=n.map(function(g,P){return pHt(P,g._index,g._displayindex,g.label,s)});for(v=0;v<f;v++)for(o=a[v%a.length],_=0;_<E.length;_++){var S=E[_].containerInd,L=i[_].inds[v],x=E[_].categories;if(x[L]===void 0){var C=r.dimensions[S]._categoryarray[L],M=r.dimensions[S]._ticktext[L];x[L]=gHt(_,L,C,M)}mHt(x[L],v,o)}return lHt(vHt(E,h,s))};function vHt(e,t,r){var n=e.map(function(i){return i.categories.length}).reduce(function(i,a){return Math.max(i,a)});return{dimensions:e,paths:t,trace:void 0,maxCats:n,count:r}}function 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wHt(e,t){e._categoryarray=t.uniqueValues,e.ticktext===null||e.ticktext===void 0?e._ticktext=[]:e._ticktext=e.ticktext.slice();for(var r=e._ticktext.length;r<t.uniqueValues.length;r++)e._ticktext.push(t.uniqueValues[r])}function THt(e){for(var t=new Array(e.length),r=0;r<e.length;r++){if(e[r]<0||e[r]>=e.length||t[e[r]]!==void 0)return!1;t[e[r]]=!0}return!0}});var vVe=ye((rxr,dVe)=>{\"use strict\";var Fl=Oa(),AHt=(F2(),ob(D2)).interpolateNumber,SHt=HP(),qk=vf(),yx=Dr(),zk=yx.strTranslate,oVe=So(),VK=cd(),MHt=ru();function EHt(e,t,r,n){var i=t._context.staticPlot,a=e.map(VHt.bind(0,t,r)),o=n.selectAll(\"g.parcatslayer\").data([null]);o.enter().append(\"g\").attr(\"class\",\"parcatslayer\").style(\"pointer-events\",i?\"none\":\"all\");var s=o.selectAll(\"g.trace.parcats\").data(a,u1),l=s.enter().append(\"g\").attr(\"class\",\"trace parcats\");s.attr(\"transform\",function(k){return zk(k.x,k.y)}),l.append(\"g\").attr(\"class\",\"paths\");var u=s.select(\"g.paths\"),c=u.selectAll(\"path.path\").data(function(k){return k.paths},u1);c.attr(\"fill\",function(k){return k.model.color});var f=c.enter().append(\"path\").attr(\"class\",\"path\").attr(\"stroke-opacity\",0).attr(\"fill\",function(k){return k.model.color}).attr(\"fill-opacity\",0);jK(f),c.attr(\"d\",function(k){return k.svgD}),f.empty()||c.sort(GK),c.exit().remove(),c.on(\"mouseover\",kHt).on(\"mouseout\",CHt).on(\"click\",LHt),l.append(\"g\").attr(\"class\",\"dimensions\");var h=s.select(\"g.dimensions\"),d=h.selectAll(\"g.dimension\").data(function(k){return k.dimensions},u1);d.enter().append(\"g\").attr(\"class\",\"dimension\"),d.attr(\"transform\",function(k){return zk(k.x,0)}),d.exit().remove();var v=d.selectAll(\"g.category\").data(function(k){return k.categories},u1),_=v.enter().append(\"g\").attr(\"class\",\"category\");v.attr(\"transform\",function(k){return zk(0,k.y)}),_.append(\"rect\").attr(\"class\",\"catrect\").attr(\"pointer-events\",\"none\"),v.select(\"rect.catrect\").attr(\"fill\",\"none\").attr(\"width\",function(k){return k.width}).attr(\"height\",function(k){return k.height}),lVe(_);var b=v.selectAll(\"rect.bandrect\").data(function(k){return k.bands},u1);b.each(function(){yx.raiseToTop(this)}),b.attr(\"fill\",function(k){return k.color});var p=b.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",function(k){return k.color}).attr(\"fill-opacity\",0);b.attr(\"fill\",function(k){return k.color}).attr(\"width\",function(k){return k.width}).attr(\"height\",function(k){return k.height}).attr(\"y\",function(k){return k.y}).attr(\"cursor\",function(k){return 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k.width/2}).attr(\"y\",-5).text(function(k,E){return E===0?k.parcatsViewModel.model.dimensions[k.model.dimensionInd].dimensionLabel:null}).each(function(k){oVe.font(Fl.select(this),k.parcatsViewModel.labelfont)}),v.selectAll(\"rect.bandrect\").on(\"mouseover\",OHt).on(\"mouseout\",qHt),v.exit().remove(),d.call(Fl.behavior.drag().origin(function(k){return{x:k.x,y:0}}).on(\"dragstart\",BHt).on(\"drag\",NHt).on(\"dragend\",UHt)),s.each(function(k){k.traceSelection=Fl.select(this),k.pathSelection=Fl.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),k.dimensionSelection=Fl.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")}),s.exit().remove()}dVe.exports=function(e,t,r,n){EHt(r,e,n,t)};function u1(e){return e.key}function Ok(e){var t=e.parcatsViewModel.dimensions.length,r=e.parcatsViewModel.dimensions[t-1].model.dimensionInd;return e.model.dimensionInd===r}function GK(e,t){return e.model.rawColor>t.model.rawColor?1:e.model.rawColor<t.model.rawColor?-1:0}function kHt(e){if(!e.parcatsViewModel.dragDimension&&e.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")===-1){yx.raiseToTop(this),WK(Fl.select(this));var t=Bk(e),r=HK(e);if(e.parcatsViewModel.graphDiv.emit(\"plotly_hover\",{points:t,event:Fl.event,constraints:r}),e.parcatsViewModel.hoverinfoItems.indexOf(\"none\")===-1){var n=Fl.mouse(this)[0],i=e.parcatsViewModel.graphDiv,a=e.parcatsViewModel.trace,o=i._fullLayout,s=o._paperdiv.node().getBoundingClientRect(),l=e.parcatsViewModel.graphDiv.getBoundingClientRect(),u,c,f;for(f=0;f<e.leftXs.length-1;f++)if(e.leftXs[f]+e.dimWidths[f]-2<=n&&n<=e.leftXs[f+1]+2){var h=e.parcatsViewModel.dimensions[f],d=e.parcatsViewModel.dimensions[f+1];u=(h.x+h.width+d.x)/2,c=(e.topYs[f]+e.topYs[f+1]+e.height)/2;break}var v=e.parcatsViewModel.x+u,_=e.parcatsViewModel.y+c,b=VK.mostReadable(e.model.color,[\"black\",\"white\"]),p=e.model.count,k=p/e.parcatsViewModel.model.count,E={countLabel:p,probabilityLabel:k.toFixed(3)},S=[];e.parcatsViewModel.hoverinfoItems.indexOf(\"count\")!==-1&&S.push([\"Count:\",E.countLabel].join(\" \")),e.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")!==-1&&S.push([\"P:\",E.probabilityLabel].join(\" \"));var L=S.join(\"<br>\"),x=Fl.mouse(i)[0];qk.loneHover({trace:a,x:v-s.left+l.left,y:_-s.top+l.top,text:L,color:e.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:b,idealAlign:x<v?\"right\":\"left\",hovertemplate:(a.line||{}).hovertemplate,hovertemplateLabels:E,eventData:[{data:a._input,fullData:a,count:p,probability:k}]},{container:o._hoverlayer.node(),outerContainer:o._paper.node(),gd:i})}}}function CHt(e){if(!e.parcatsViewModel.dragDimension&&(jK(Fl.select(this)),qk.loneUnhover(e.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),e.parcatsViewModel.pathSelection.sort(GK),e.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")===-1)){var t=Bk(e),r=HK(e);e.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:t,event:Fl.event,constraints:r})}}function Bk(e){for(var t=[],r=cVe(e.parcatsViewModel),n=0;n<e.model.valueInds.length;n++){var i=e.model.valueInds[n];t.push({curveNumber:r,pointNumber:i})}return t}function HK(e){for(var t={},r=e.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[e.model.categoryInds[n]];t[i.containerInd]=a.categoryValue}return e.model.rawColor!==void 0&&(t.color=e.model.rawColor),t}function LHt(e){if(e.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")===-1){var t=Bk(e),r=HK(e);e.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:t,event:Fl.event,constraints:r})}}function jK(e){e.attr(\"fill\",function(t){return t.model.color}).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function WK(e){e.attr(\"fill-opacity\",.8).attr(\"stroke\",function(t){return VK.mostReadable(t.model.color,[\"black\",\"white\"])}).attr(\"stroke-width\",.3)}function PHt(e){e.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}function lVe(e){e.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function IHt(e){e.attr(\"stroke\",\"black\").attr(\"stroke-width\",1.5)}function XK(e){e.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function Hz(e){var t=e.parcatsViewModel.pathSelection,r=e.categoryViewModel.model.dimensionInd,n=e.categoryViewModel.model.categoryInd;return t.filter(function(i){return i.model.categoryInds[r]===n&&i.model.color===e.color})}function RHt(e){var t=Fl.select(e.parentNode).selectAll(\"rect.bandrect\");t.each(function(r){var n=Hz(r);WK(n),n.each(function(){yx.raiseToTop(this)})}),PHt(Fl.select(e.parentNode))}function DHt(e){var t=Fl.select(e).datum(),r=Hz(t);WK(r),r.each(function(){yx.raiseToTop(this)}),Fl.select(e.parentNode).selectAll(\"rect.bandrect\").filter(function(n){return n.color===t.color}).each(function(){yx.raiseToTop(this),IHt(Fl.select(this))})}function ZK(e,t,r){var n=Fl.select(e).datum(),i=n.categoryViewModel.model,a=n.parcatsViewModel.graphDiv,o=Fl.select(e.parentNode).selectAll(\"rect.bandrect\"),s=[];o.each(function(u){var c=Hz(u);c.each(function(f){Array.prototype.push.apply(s,Bk(f))})});var l={};l[i.dimensionInd]=i.categoryValue,a.emit(t,{points:s,event:r,constraints:l})}function YK(e,t,r){var n=Fl.select(e).datum(),i=n.categoryViewModel.model,a=n.parcatsViewModel.graphDiv,o=Hz(n),s=[];o.each(function(u){Array.prototype.push.apply(s,Bk(u))});var l={};l[i.dimensionInd]=i.categoryValue,n.rawColor!==void 0&&(l.color=n.rawColor),a.emit(t,{points:s,event:r,constraints:l})}function uVe(e,t,r){e._fullLayout._calcInverseTransform(e);var n=e._fullLayout._invScaleX,i=e._fullLayout._invScaleY,a=Fl.select(r.parentNode).select(\"rect.catrect\"),o=a.node().getBoundingClientRect(),s=a.datum(),l=s.parcatsViewModel,u=l.model.dimensions[s.model.dimensionInd],c=l.trace,f=o.top+o.height/2,h,d;l.dimensions.length>1&&u.displayInd===l.dimensions.length-1?(h=o.left,d=\"left\"):(h=o.left+o.width,d=\"right\");var v=s.model.count,_=s.model.categoryLabel,b=v/s.parcatsViewModel.model.count,p={countLabel:v,categoryLabel:_,probabilityLabel:b.toFixed(3)},k=[];s.parcatsViewModel.hoverinfoItems.indexOf(\"count\")!==-1&&k.push([\"Count:\",p.countLabel].join(\" \")),s.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")!==-1&&k.push([\"P(\"+p.categoryLabel+\"):\",p.probabilityLabel].join(\" \"));var E=k.join(\"<br>\");return{trace:c,x:n*(h-t.left),y:i*(f-t.top),text:E,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:12,fontColor:\"black\",idealAlign:d,hovertemplate:c.hovertemplate,hovertemplateLabels:p,eventData:[{data:c._input,fullData:c,count:v,category:_,probability:b}]}}function FHt(e,t,r){var n=[];return Fl.select(r.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each(function(){var i=this;n.push(uVe(e,t,i))}),n}function zHt(e,t,r){e._fullLayout._calcInverseTransform(e);var n=e._fullLayout._invScaleX,i=e._fullLayout._invScaleY,a=r.getBoundingClientRect(),o=Fl.select(r).datum(),s=o.categoryViewModel,l=s.parcatsViewModel,u=l.model.dimensions[s.model.dimensionInd],c=l.trace,f=a.y+a.height/2,h,d;l.dimensions.length>1&&u.displayInd===l.dimensions.length-1?(h=a.left,d=\"left\"):(h=a.left+a.width,d=\"right\");var v=s.model.categoryLabel,_=o.parcatsViewModel.model.count,b=0;o.categoryViewModel.bands.forEach(function(P){P.color===o.color&&(b+=P.count)});var p=s.model.count,k=0;l.pathSelection.each(function(P){P.model.color===o.color&&(k+=P.model.count)});var E=b/_,S=b/k,L=b/p,x={countLabel:b,categoryLabel:v,probabilityLabel:E.toFixed(3)},C=[];s.parcatsViewModel.hoverinfoItems.indexOf(\"count\")!==-1&&C.push([\"Count:\",x.countLabel].join(\" \")),s.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")!==-1&&(C.push(\"P(color \\u2229 \"+v+\"): \"+x.probabilityLabel),C.push(\"P(\"+v+\" | color): \"+S.toFixed(3)),C.push(\"P(color | \"+v+\"): \"+L.toFixed(3)));var M=C.join(\"<br>\"),g=VK.mostReadable(o.color,[\"black\",\"white\"]);return{trace:c,x:n*(h-t.left),y:i*(f-t.top),text:M,color:o.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:g,fontSize:10,idealAlign:d,hovertemplate:c.hovertemplate,hovertemplateLabels:x,eventData:[{data:c._input,fullData:c,category:v,count:_,probability:E,categorycount:p,colorcount:k,bandcolorcount:b}]}}function OHt(e){if(!e.parcatsViewModel.dragDimension&&e.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")===-1){var t=Fl.mouse(this)[1];if(t<-1)return;var r=e.parcatsViewModel.graphDiv,n=r._fullLayout,i=n._paperdiv.node().getBoundingClientRect(),a=e.parcatsViewModel.hoveron,o=this;if(a===\"color\"?(DHt(o),YK(o,\"plotly_hover\",Fl.event)):(RHt(o),ZK(o,\"plotly_hover\",Fl.event)),e.parcatsViewModel.hoverinfoItems.indexOf(\"none\")===-1){var s;a===\"category\"?s=uVe(r,i,o):a===\"color\"?s=zHt(r,i,o):a===\"dimension\"&&(s=FHt(r,i,o)),s&&qk.loneHover(s,{container:n._hoverlayer.node(),outerContainer:n._paper.node(),gd:r})}}}function qHt(e){var t=e.parcatsViewModel;if(!t.dragDimension&&(jK(t.pathSelection),lVe(t.dimensionSelection.selectAll(\"g.category\")),XK(t.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),qk.loneUnhover(t.graphDiv._fullLayout._hoverlayer.node()),t.pathSelection.sort(GK),t.hoverinfoItems.indexOf(\"skip\")===-1)){var r=e.parcatsViewModel.hoveron,n=this;r===\"color\"?YK(n,\"plotly_unhover\",Fl.event):ZK(n,\"plotly_unhover\",Fl.event)}}function BHt(e){e.parcatsViewModel.arrangement!==\"fixed\"&&(e.dragDimensionDisplayInd=e.model.displayInd,e.initialDragDimensionDisplayInds=e.parcatsViewModel.model.dimensions.map(function(t){return t.displayInd}),e.dragHasMoved=!1,e.dragCategoryDisplayInd=null,Fl.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each(function(t){var r=Fl.mouse(this)[0],n=Fl.mouse(this)[1];-2<=r&&r<=t.width+2&&-2<=n&&n<=t.height+2&&(e.dragCategoryDisplayInd=t.model.displayInd,e.initialDragCategoryDisplayInds=e.model.categories.map(function(i){return i.displayInd}),t.model.dragY=t.y,yx.raiseToTop(this.parentNode),Fl.select(this.parentNode).selectAll(\"rect.bandrect\").each(function(i){i.y<n&&n<=i.y+i.height&&(e.potentialClickBand=this)}))}),e.parcatsViewModel.dragDimension=e,qk.loneUnhover(e.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function NHt(e){if(e.parcatsViewModel.arrangement!==\"fixed\"&&(e.dragHasMoved=!0,e.dragDimensionDisplayInd!==null)){var t=e.dragDimensionDisplayInd,r=t-1,n=t+1,i=e.parcatsViewModel.dimensions[t];if(e.dragCategoryDisplayInd!==null){var a=i.categories[e.dragCategoryDisplayInd];a.model.dragY+=Fl.event.dy;var o=a.model.dragY,s=a.model.displayInd,l=i.categories,u=l[s-1],c=l[s+1];u!==void 0&&o<u.y+u.height/2&&(a.model.displayInd=u.model.displayInd,u.model.displayInd=s),c!==void 0&&o+a.height>c.y+c.height/2&&(a.model.displayInd=c.model.displayInd,c.model.displayInd=s),e.dragCategoryDisplayInd=a.model.displayInd}if(e.dragCategoryDisplayInd===null||e.parcatsViewModel.arrangement===\"freeform\"){i.model.dragX=Fl.event.x;var f=e.parcatsViewModel.dimensions[r],h=e.parcatsViewModel.dimensions[n];f!==void 0&&i.model.dragX<f.x+f.width&&(i.model.displayInd=f.model.displayInd,f.model.displayInd=t),h!==void 0&&i.model.dragX+i.width>h.x&&(i.model.displayInd=h.model.displayInd,h.model.displayInd=e.dragDimensionDisplayInd),e.dragDimensionDisplayInd=i.model.displayInd}JK(e.parcatsViewModel),KK(e.parcatsViewModel),hVe(e.parcatsViewModel),fVe(e.parcatsViewModel)}}function UHt(e){if(e.parcatsViewModel.arrangement!==\"fixed\"&&e.dragDimensionDisplayInd!==null){Fl.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var t={},r=cVe(e.parcatsViewModel),n=e.parcatsViewModel.model.dimensions.map(function(h){return h.displayInd}),i=e.initialDragDimensionDisplayInds.some(function(h,d){return h!==n[d]});i&&n.forEach(function(h,d){var v=e.parcatsViewModel.model.dimensions[d].containerInd;t[\"dimensions[\"+v+\"].displayindex\"]=h});var a=!1;if(e.dragCategoryDisplayInd!==null){var o=e.model.categories.map(function(h){return h.displayInd});if(a=e.initialDragCategoryDisplayInds.some(function(h,d){return h!==o[d]}),a){var s=e.model.categories.slice().sort(function(h,d){return h.displayInd-d.displayInd}),l=s.map(function(h){return h.categoryValue}),u=s.map(function(h){return h.categoryLabel});t[\"dimensions[\"+e.model.containerInd+\"].categoryarray\"]=[l],t[\"dimensions[\"+e.model.containerInd+\"].ticktext\"]=[u],t[\"dimensions[\"+e.model.containerInd+\"].categoryorder\"]=\"array\"}}if(e.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")===-1&&!e.dragHasMoved&&e.potentialClickBand&&(e.parcatsViewModel.hoveron===\"color\"?YK(e.potentialClickBand,\"plotly_click\",Fl.event.sourceEvent):ZK(e.potentialClickBand,\"plotly_click\",Fl.event.sourceEvent)),e.model.dragX=null,e.dragCategoryDisplayInd!==null){var c=e.parcatsViewModel.dimensions[e.dragDimensionDisplayInd].categories[e.dragCategoryDisplayInd];c.model.dragY=null,e.dragCategoryDisplayInd=null}e.dragDimensionDisplayInd=null,e.parcatsViewModel.dragDimension=null,e.dragHasMoved=null,e.potentialClickBand=null,JK(e.parcatsViewModel),KK(e.parcatsViewModel);var f=Fl.transition().duration(300).ease(\"cubic-in-out\");f.each(function(){hVe(e.parcatsViewModel,!0),fVe(e.parcatsViewModel,!0)}).each(\"end\",function(){(i||a)&&SHt.restyle(e.parcatsViewModel.graphDiv,t,[r])})}}function cVe(e){for(var t,r=e.graphDiv._fullData,n=0;n<r.length;n++)if(e.key===r[n].uid){t=n;break}return t}function fVe(e,t){t===void 0&&(t=!1);function r(n){return t?n.transition():n}e.pathSelection.data(function(n){return n.paths},u1),r(e.pathSelection).attr(\"d\",function(n){return n.svgD})}function hVe(e,t){t===void 0&&(t=!1);function r(l){return t?l.transition():l}e.dimensionSelection.data(function(l){return l.dimensions},u1);var n=e.dimensionSelection.selectAll(\"g.category\").data(function(l){return l.categories},u1);r(e.dimensionSelection).attr(\"transform\",function(l){return zk(l.x,0)}),r(n).attr(\"transform\",function(l){return zk(0,l.y)});var i=n.select(\".dimlabel\");i.text(function(l,u){return u===0?l.parcatsViewModel.model.dimensions[l.model.dimensionInd].dimensionLabel:null});var a=n.select(\".catlabel\");a.attr(\"text-anchor\",function(l){return Ok(l)?\"start\":\"end\"}).attr(\"x\",function(l){return Ok(l)?l.width+5:-5}).each(function(l){var u,c;Ok(l)?(u=l.width+5,c=\"start\"):(u=-5,c=\"end\"),Fl.select(this).selectAll(\"tspan\").attr(\"x\",u).attr(\"text-anchor\",c)});var o=n.selectAll(\"rect.bandrect\").data(function(l){return l.bands},u1),s=o.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",function(l){return l.color}).attr(\"fill-opacity\",0);o.attr(\"fill\",function(l){return l.color}).attr(\"width\",function(l){return l.width}).attr(\"height\",function(l){return l.height}).attr(\"y\",function(l){return l.y}),XK(s),o.each(function(){yx.raiseToTop(this)}),o.exit().remove()}function VHt(e,t,r){var n=r[0],i=t.margin||{l:80,r:80,t:100,b:80},a=n.trace,o=a.domain,s=t.width,l=t.height,u=Math.floor(s*(o.x[1]-o.x[0])),c=Math.floor(l*(o.y[1]-o.y[0])),f=o.x[0]*s+i.l,h=t.height-o.y[1]*t.height+i.t,d=a.line.shape,v;a.hoverinfo===\"all\"?v=[\"count\",\"probability\"]:v=(a.hoverinfo||\"\").split(\"+\");var _={trace:a,key:a.uid,model:n,x:f,y:h,width:u,height:c,hoveron:a.hoveron,hoverinfoItems:v,arrangement:a.arrangement,bundlecolors:a.bundlecolors,sortpaths:a.sortpaths,labelfont:a.labelfont,categorylabelfont:a.tickfont,pathShape:d,dragDimension:null,margin:i,paths:[],dimensions:[],graphDiv:e,traceSelection:null,pathSelection:null,dimensionSelection:null};return n.dimensions&&(JK(_),KK(_)),_}function sVe(e,t,r,n,i){var a=[],o=[],s,l;for(l=0;l<r.length-1;l++)s=AHt(r[l]+e[l],e[l+1]),a.push(s(i)),o.push(s(1-i));var u=\"M \"+e[0]+\",\"+t[0];for(u+=\"l\"+r[0]+\",0 \",l=1;l<r.length;l++)u+=\"C\"+a[l-1]+\",\"+t[l-1]+\" \"+o[l-1]+\",\"+t[l]+\" \"+e[l]+\",\"+t[l],u+=\"l\"+r[l]+\",0 \";for(u+=\"l0,\"+n+\" \",u+=\"l -\"+r[r.length-1]+\",0 \",l=r.length-2;l>=0;l--)u+=\"C\"+o[l]+\",\"+(t[l+1]+n)+\" \"+a[l]+\",\"+(t[l]+n)+\" \"+(e[l]+r[l])+\",\"+(t[l]+n),u+=\"l-\"+r[l]+\",0 \";return u+=\"Z\",u}function KK(e){var t=e.dimensions,r=e.model,n=t.map(function(O){return O.categories.map(function(V){return V.y})}),i=e.model.dimensions.map(function(O){return O.categories.map(function(V){return V.displayInd})}),a=e.model.dimensions.map(function(O){return O.displayInd}),o=e.dimensions.map(function(O){return O.model.dimensionInd}),s=t.map(function(O){return O.x}),l=t.map(function(O){return O.width}),u=[];for(var c in r.paths)r.paths.hasOwnProperty(c)&&u.push(r.paths[c]);function f(O){var V=O.categoryInds.map(function(Z,j){return i[j][Z]}),G=o.map(function(Z){return V[Z]});return G}u.sort(function(O,V){var G=f(O),Z=f(V);return e.sortpaths===\"backward\"&&(G.reverse(),Z.reverse()),G.push(O.valueInds[0]),Z.push(V.valueInds[0]),e.bundlecolors&&(G.unshift(O.rawColor),Z.unshift(V.rawColor)),G<Z?-1:G>Z?1:0});for(var h=new Array(u.length),d=t[0].model.count,v=t[0].categories.map(function(O){return O.height}).reduce(function(O,V){return O+V}),_=0;_<u.length;_++){var b=u[_],p;d>0?p=v*(b.count/d):p=0;for(var k=new Array(n.length),E=0;E<b.categoryInds.length;E++){var S=b.categoryInds[E],L=i[E][S],x=a[E];k[x]=n[x][L],n[x][L]+=p;var C=e.dimensions[x].categories[L],M=C.bands.length,g=C.bands[M-1];if(g===void 0||b.rawColor!==g.rawColor){var P=g===void 0?0:g.y+g.height;C.bands.push({key:P,color:b.color,rawColor:b.rawColor,height:p,width:C.width,count:b.count,y:P,categoryViewModel:C,parcatsViewModel:e})}else{var T=C.bands[M-1];T.height+=p,T.count+=b.count}}var z;e.pathShape===\"hspline\"?z=sVe(s,k,l,p,.5):z=sVe(s,k,l,p,0),h[_]={key:b.valueInds[0],model:b,height:p,leftXs:s,topYs:k,dimWidths:l,svgD:z,parcatsViewModel:e}}e.paths=h}function JK(e){var t=e.model.dimensions.map(function(o){return{displayInd:o.displayInd,dimensionInd:o.dimensionInd}});t.sort(function(o,s){return o.displayInd-s.displayInd});var r=[];for(var n in t){var i=t[n].dimensionInd,a=e.model.dimensions[i];r.push(GHt(e,a))}e.dimensions=r}function GHt(e,t){var r=40,n=16,i=e.model.dimensions.length,a=t.displayInd,o,s,l;i>1?o=(e.width-2*r-n)/(i-1):o=0,s=r,l=s+o*a;var u=[],c=e.model.maxCats,f=t.categories.length,h=8,d=t.count,v=e.height-h*(c-1),_,b,p,k,E,S=(c-f)*h/2,L=t.categories.map(function(x){return{displayInd:x.displayInd,categoryInd:x.categoryInd}});for(L.sort(function(x,C){return x.displayInd-C.displayInd}),E=0;E<f;E++)k=L[E].categoryInd,b=t.categories[k],d>0?_=b.count/d*v:_=0,p={key:b.valueInds[0],model:b,width:n,height:_,y:b.dragY!==null?b.dragY:S,bands:[],parcatsViewModel:e},S=S+_+h,u.push(p);return{key:t.dimensionInd,x:t.dragX!==null?t.dragX:l,y:0,width:n,model:t,categories:u,parcatsViewModel:e,dragCategoryDisplayInd:null,dragDimensionDisplayInd:null,initialDragDimensionDisplayInds:null,initialDragCategoryDisplayInds:null,dragHasMoved:null,potentialClickBand:null}}});var $K=ye((ixr,pVe)=>{\"use strict\";var HHt=vVe();pVe.exports=function(t,r,n,i){var a=t._fullLayout,o=a._paper,s=a._size;HHt(t,o,r,{width:s.w,height:s.h,margin:{t:s.t,r:s.r,b:s.b,l:s.l}},n,i)}});var mVe=ye(jz=>{\"use strict\";var jHt=Id().getModuleCalcData,WHt=$K(),gVe=\"parcats\";jz.name=gVe;jz.plot=function(e,t,r,n){var i=jHt(e.calcdata,gVe);if(i.length){var a=i[0];WHt(e,a,r,n)}};jz.clean=function(e,t,r,n){var 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CVe=Dr(),LVe=ka().defaultLine,YHt=Cc().attributes,KHt=ec(),JHt=pf().textposition,$Ht=mc().overrideAll,QHt=vl().templatedArray,QK=c1(),PVe=KHt({noFontVariant:!0,noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0});PVe.family.dflt=\"Open Sans Regular, Arial Unicode MS Regular\";var ejt=IVe.exports=$Ht({_arrayAttrRegexps:[CVe.counterRegex(\"mapbox\",\".layers\",!0)],domain:YHt({name:\"mapbox\"}),accesstoken:{valType:\"string\",noBlank:!0,strict:!0},style:{valType:\"any\",values:QK.styleValuesMapbox.concat(QK.styleValuesNonMapbox),dflt:QK.styleValueDflt},center:{lon:{valType:\"number\",dflt:0},lat:{valType:\"number\",dflt:0}},zoom:{valType:\"number\",dflt:1},bearing:{valType:\"number\",dflt:0},pitch:{valType:\"number\",dflt:0},bounds:{west:{valType:\"number\"},east:{valType:\"number\"},south:{valType:\"number\"},north:{valType:\"number\"}},layers:QHt(\"layer\",{visible:{valType:\"boolean\",dflt:!0},sourcetype:{valType:\"enumerated\",values:[\"geojson\",\"vector\",\"raster\",\"image\"],dflt:\"geojson\"},source:{valType:\"any\"},sourcelayer:{valType:\"string\",dflt:\"\"},sourceattribution:{valType:\"string\"},type:{valType:\"enumerated\",values:[\"circle\",\"line\",\"fill\",\"symbol\",\"raster\"],dflt:\"circle\"},coordinates:{valType:\"any\"},below:{valType:\"string\"},color:{valType:\"color\",dflt:LVe},opacity:{valType:\"number\",min:0,max:1,dflt:1},minzoom:{valType:\"number\",min:0,max:24,dflt:0},maxzoom:{valType:\"number\",min:0,max:24,dflt:24},circle:{radius:{valType:\"number\",dflt:15}},line:{width:{valType:\"number\",dflt:2},dash:{valType:\"data_array\"}},fill:{outlinecolor:{valType:\"color\",dflt:LVe}},symbol:{icon:{valType:\"string\",dflt:\"marker\"},iconsize:{valType:\"number\",dflt:10},text:{valType:\"string\",dflt:\"\"},placement:{valType:\"enumerated\",values:[\"point\",\"line\",\"line-center\"],dflt:\"point\"},textfont:PVe,textposition:CVe.extendFlat({},JHt,{arrayOk:!1})}})},\"plot\",\"from-root\");ejt.uirevision={valType:\"any\",editType:\"none\"}});var Wz=ye((uxr,zVe)=>{\"use 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eJ=ye((cxr,OVe)=>{\"use strict\";var ljt=[\"Metropolis Black Italic\",\"Metropolis Black\",\"Metropolis Bold Italic\",\"Metropolis Bold\",\"Metropolis Extra Bold Italic\",\"Metropolis Extra Bold\",\"Metropolis Extra Light Italic\",\"Metropolis Extra Light\",\"Metropolis Light Italic\",\"Metropolis Light\",\"Metropolis Medium Italic\",\"Metropolis Medium\",\"Metropolis Regular Italic\",\"Metropolis Regular\",\"Metropolis Semi Bold Italic\",\"Metropolis Semi Bold\",\"Metropolis Thin Italic\",\"Metropolis Thin\",\"Open Sans Bold Italic\",\"Open Sans Bold\",\"Open Sans Extrabold Italic\",\"Open Sans Extrabold\",\"Open Sans Italic\",\"Open Sans Light Italic\",\"Open Sans Light\",\"Open Sans Regular\",\"Open Sans Semibold Italic\",\"Open Sans Semibold\",\"Klokantech Noto Sans Bold\",\"Klokantech Noto Sans CJK Bold\",\"Klokantech Noto Sans CJK Regular\",\"Klokantech Noto Sans Italic\",\"Klokantech Noto Sans Regular\"];OVe.exports={isSupportedFont:function(e){return ljt.indexOf(e)!==-1}}});var NVe=ye((fxr,BVe)=>{\"use strict\";var Vk=Dr(),tJ=Ru(),ujt=$p(),cjt=R0(),fjt=D0(),hjt=Rg(),qVe=Wz(),djt=eJ().isSupportedFont;BVe.exports=function(t,r,n,i){function a(p,k){return Vk.coerce(t,r,qVe,p,k)}function o(p,k){return Vk.coerce2(t,r,qVe,p,k)}var s=vjt(t,r,a);if(!s){r.visible=!1;return}if(a(\"text\"),a(\"texttemplate\"),a(\"texttemplatefallback\"),a(\"hovertext\"),a(\"hovertemplate\"),a(\"hovertemplatefallback\"),a(\"mode\"),a(\"below\"),tJ.hasMarkers(r)){ujt(t,r,n,i,a,{noLine:!0,noAngle:!0}),a(\"marker.allowoverlap\"),a(\"marker.angle\");var l=r.marker;l.symbol!==\"circle\"&&(Vk.isArrayOrTypedArray(l.size)&&(l.size=l.size[0]),Vk.isArrayOrTypedArray(l.color)&&(l.color=l.color[0]))}tJ.hasLines(r)&&(cjt(t,r,n,i,a,{noDash:!0}),a(\"connectgaps\"));var u=o(\"cluster.maxzoom\"),c=o(\"cluster.step\"),f=o(\"cluster.color\",r.marker&&r.marker.color||n),h=o(\"cluster.size\"),d=o(\"cluster.opacity\"),v=u!==!1||c!==!1||f!==!1||h!==!1||d!==!1,_=a(\"cluster.enabled\",v);if(_||tJ.hasText(r)){var b=i.font.family;fjt(t,r,i,a,{noSelect:!0,noFontVariant:!0,noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0,font:{family:djt(b)?b:\"Open Sans Regular\",weight:i.font.weight,style:i.font.style,size:i.font.size,color:i.font.color}})}a(\"fill\"),r.fill!==\"none\"&&hjt(t,r,n,a),Vk.coerceSelectionMarkerOpacity(r,a)};function vjt(e,t,r){var n=r(\"lon\")||[],i=r(\"lat\")||[],a=Math.min(n.length,i.length);return t._length=a,a}});var rJ=ye((hxr,VVe)=>{\"use strict\";var UVe=ho();VVe.exports=function(t,r,n){var i={},a=n[r.subplot]._subplot,o=a.mockAxis,s=t.lonlat;return i.lonLabel=UVe.tickText(o,o.c2l(s[0]),!0).text,i.latLabel=UVe.tickText(o,o.c2l(s[1]),!0).text,i}});var iJ=ye((dxr,HVe)=>{\"use strict\";var GVe=Dr();HVe.exports=function(t,r){var n=t.split(\" \"),i=n[0],a=n[1],o=GVe.isArrayOrTypedArray(r)?GVe.mean(r):r,s=.5+o/100,l=1.5+o/100,u=[\"\",\"\"],c=[0,0];switch(i){case\"top\":u[0]=\"top\",c[1]=-l;break;case\"bottom\":u[0]=\"bottom\",c[1]=l;break}switch(a){case\"left\":u[1]=\"right\",c[0]=-s;break;case\"right\":u[1]=\"left\",c[0]=s;break}var f;return u[0]&&u[1]?f=u.join(\"-\"):u[0]?f=u[0]:u[1]?f=u[1]:f=\"center\",{anchor:f,offset:c}}});var KVe=ye((vxr,YVe)=>{\"use strict\";var XVe=Eo(),av=Dr(),pjt=fs().BADNUM,Zz=tx(),jVe=tc(),gjt=So(),mjt=k3(),Yz=Ru(),yjt=eJ().isSupportedFont,_jt=iJ(),xjt=ip().appendArrayPointValue,bjt=ru().NEWLINES,wjt=ru().BR_TAG_ALL;YVe.exports=function(t,r){var n=r[0].trace,i=n.visible===!0&&n._length!==0,a=n.fill!==\"none\",o=Yz.hasLines(n),s=Yz.hasMarkers(n),l=Yz.hasText(n),u=s&&n.marker.symbol===\"circle\",c=s&&n.marker.symbol!==\"circle\",f=n.cluster&&n.cluster.enabled,h=Xz(\"fill\"),d=Xz(\"line\"),v=Xz(\"circle\"),_=Xz(\"symbol\"),b={fill:h,line:d,circle:v,symbol:_};if(!i)return b;var p;if((a||o)&&(p=Zz.calcTraceToLineCoords(r)),a&&(h.geojson=Zz.makePolygon(p),h.layout.visibility=\"visible\",av.extendFlat(h.paint,{\"fill-color\":n.fillcolor})),o&&(d.geojson=Zz.makeLine(p),d.layout.visibility=\"visible\",av.extendFlat(d.paint,{\"line-width\":n.line.width,\"line-color\":n.line.color,\"line-opacity\":n.opacity})),u){var k=Tjt(r);v.geojson=k.geojson,v.layout.visibility=\"visible\",f&&(v.filter=[\"!\",[\"has\",\"point_count\"]],b.cluster={type:\"circle\",filter:[\"has\",\"point_count\"],layout:{visibility:\"visible\"},paint:{\"circle-color\":aJ(n.cluster.color,n.cluster.step),\"circle-radius\":aJ(n.cluster.size,n.cluster.step),\"circle-opacity\":aJ(n.cluster.opacity,n.cluster.step)}},b.clusterCount={type:\"symbol\",filter:[\"has\",\"point_count\"],paint:{},layout:{\"text-field\":\"{point_count_abbreviated}\",\"text-font\":WVe(n),\"text-size\":12}}),av.extendFlat(v.paint,{\"circle-color\":k.mcc,\"circle-radius\":k.mrc,\"circle-opacity\":k.mo})}if(u&&f&&(v.filter=[\"!\",[\"has\",\"point_count\"]]),(c||l)&&(_.geojson=Ajt(r,t),av.extendFlat(_.layout,{visibility:\"visible\",\"icon-image\":\"{symbol}-15\",\"text-field\":\"{text}\"}),c&&(av.extendFlat(_.layout,{\"icon-size\":n.marker.size/10}),\"angle\"in n.marker&&n.marker.angle!==\"auto\"&&av.extendFlat(_.layout,{\"icon-rotate\":{type:\"identity\",property:\"angle\"},\"icon-rotation-alignment\":\"map\"}),_.layout[\"icon-allow-overlap\"]=n.marker.allowoverlap,av.extendFlat(_.paint,{\"icon-opacity\":n.opacity*n.marker.opacity,\"icon-color\":n.marker.color})),l)){var E=(n.marker||{}).size,S=_jt(n.textposition,E);av.extendFlat(_.layout,{\"text-size\":n.textfont.size,\"text-anchor\":S.anchor,\"text-offset\":S.offset,\"text-font\":WVe(n)}),av.extendFlat(_.paint,{\"text-color\":n.textfont.color,\"text-opacity\":n.opacity})}return b};function Xz(e){return{type:e,geojson:Zz.makeBlank(),layout:{visibility:\"none\"},filter:null,paint:{}}}function Tjt(e){var t=e[0].trace,r=t.marker,n=t.selectedpoints,i=av.isArrayOrTypedArray(r.color),a=av.isArrayOrTypedArray(r.size),o=av.isArrayOrTypedArray(r.opacity),s;function l(E){return t.opacity*E}function u(E){return E/2}var c;i&&(jVe.hasColorscale(t,\"marker\")?c=jVe.makeColorScaleFuncFromTrace(r):c=av.identity);var f;a&&(f=mjt(t));var h;o&&(h=function(E){var S=XVe(E)?+av.constrain(E,0,1):0;return l(S)});var d=[];for(s=0;s<e.length;s++){var v=e[s],_=v.lonlat;if(!ZVe(_)){var b={};c&&(b.mcc=v.mcc=c(v.mc)),f&&(b.mrc=v.mrc=f(v.ms)),h&&(b.mo=h(v.mo)),n&&(b.selected=v.selected||0),d.push({type:\"Feature\",id:s+1,geometry:{type:\"Point\",coordinates:_},properties:b})}}var p;if(n)for(p=gjt.makeSelectedPointStyleFns(t),s=0;s<d.length;s++){var k=d[s].properties;p.selectedOpacityFn&&(k.mo=l(p.selectedOpacityFn(k))),p.selectedColorFn&&(k.mcc=p.selectedColorFn(k)),p.selectedSizeFn&&(k.mrc=p.selectedSizeFn(k))}return{geojson:{type:\"FeatureCollection\",features:d},mcc:i||p&&p.selectedColorFn?{type:\"identity\",property:\"mcc\"}:r.color,mrc:a||p&&p.selectedSizeFn?{type:\"identity\",property:\"mrc\"}:u(r.size),mo:o||p&&p.selectedOpacityFn?{type:\"identity\",property:\"mo\"}:l(r.opacity)}}function Ajt(e,t){for(var r=t._fullLayout,n=e[0].trace,i=n.marker||{},a=i.symbol,o=i.angle,s=a!==\"circle\"?nJ(a):Kz,l=o!==\"auto\"?nJ(o,!0):Kz,u=Yz.hasText(n)?nJ(n.text):Kz,c=[],f=0;f<e.length;f++){var h=e[f];if(!ZVe(h.lonlat)){var d=n.texttemplate,v;if(d){var _=Array.isArray(d)?d[f]||\"\":d,b=n._module.formatLabels(h,n,r),p={};xjt(p,n,h.i),v=av.texttemplateString({data:[p,h,n._meta],fallback:n.texttemplatefallback,labels:b,locale:r._d3locale,template:_})}else v=u(f);v&&(v=v.replace(bjt,\"\").replace(wjt,`\n",
       "`)),c.push({type:\"Feature\",geometry:{type:\"Point\",coordinates:h.lonlat},properties:{symbol:s(f),angle:l(f),text:v}})}}return{type:\"FeatureCollection\",features:c}}function nJ(e,t){return av.isArrayOrTypedArray(e)?t?function(r){return XVe(e[r])?+e[r]:0}:function(r){return e[r]}:e?function(){return e}:Kz}function Kz(){return\"\"}function ZVe(e){return e[0]===pjt}function aJ(e,t){var r;if(av.isArrayOrTypedArray(e)&&av.isArrayOrTypedArray(t)){r=[\"step\",[\"get\",\"point_count\"],e[0]];for(var n=1;n<e.length;n++)r.push(t[n-1],e[n])}else r=e;return r}function WVe(e){var t=e.textfont,r=t.family,n=t.style,i=t.weight,a=r.split(\" \"),o=a[a.length-1]===\"Italic\";o&&a.pop(),o=o||n===\"italic\";var s=a.join(\" \");i===\"bold\"&&a.indexOf(\"Bold\")===-1?s+=\" Bold\":i<=1e3&&(a[0]===\"Metropolis\"?(s=\"Metropolis\",i>850?s+=\" Black\":i>750?s+=\" Extra Bold\":i>650?s+=\" Bold\":i>550?s+=\" Semi Bold\":i>450?s+=\" Medium\":i>350?s+=\" Regular\":i>250?s+=\" Light\":i>150?s+=\" Extra Light\":s+=\" Thin\"):a.slice(0,2).join(\" \")===\"Open Sans\"?(s=\"Open Sans\",i>750?s+=\" Extrabold\":i>650?s+=\" Bold\":i>550?s+=\" Semibold\":i>350?s+=\" Regular\":s+=\" Light\"):a.slice(0,3).join(\" \")===\"Klokantech Noto Sans\"&&(s=\"Klokantech Noto Sans\",a[3]===\"CJK\"&&(s+=\" CJK\"),s+=i>500?\" Bold\":\" Regular\")),o&&(s+=\" Italic\"),s===\"Open Sans Regular Italic\"?s=\"Open Sans Italic\":s===\"Open Sans Regular Bold\"?s=\"Open Sans Bold\":s===\"Open Sans Regular Bold Italic\"?s=\"Open Sans Bold Italic\":s===\"Klokantech Noto Sans Regular Italic\"&&(s=\"Klokantech Noto Sans Italic\"),yjt(s)||(s=r);var l=s.split(\", \");return l}});var eGe=ye((pxr,QVe)=>{\"use strict\";var Sjt=Dr(),JVe=KVe(),S5=c1().traceLayerPrefix,rg={cluster:[\"cluster\",\"clusterCount\",\"circle\"],nonCluster:[\"fill\",\"line\",\"circle\",\"symbol\"]};function $Ve(e,t,r,n){this.type=\"scattermapbox\",this.subplot=e,this.uid=t,this.clusterEnabled=r,this.isHidden=n,this.sourceIds={fill:\"source-\"+t+\"-fill\",line:\"source-\"+t+\"-line\",circle:\"source-\"+t+\"-circle\",symbol:\"source-\"+t+\"-symbol\",cluster:\"source-\"+t+\"-circle\",clusterCount:\"source-\"+t+\"-circle\"},this.layerIds={fill:S5+t+\"-fill\",line:S5+t+\"-line\",circle:S5+t+\"-circle\",symbol:S5+t+\"-symbol\",cluster:S5+t+\"-cluster\",clusterCount:S5+t+\"-cluster-count\"},this.below=null}var Gk=$Ve.prototype;Gk.addSource=function(e,t,r){var n={type:\"geojson\",data:t.geojson};r&&r.enabled&&Sjt.extendFlat(n,{cluster:!0,clusterMaxZoom:r.maxzoom});var i=this.subplot.map.getSource(this.sourceIds[e]);i?i.setData(t.geojson):this.subplot.map.addSource(this.sourceIds[e],n)};Gk.setSourceData=function(e,t){this.subplot.map.getSource(this.sourceIds[e]).setData(t.geojson)};Gk.addLayer=function(e,t,r){var n={type:t.type,id:this.layerIds[e],source:this.sourceIds[e],layout:t.layout,paint:t.paint};t.filter&&(n.filter=t.filter);for(var i=this.layerIds[e],a,o=this.subplot.getMapLayers(),s=0;s<o.length;s++)if(o[s].id===i){a=!0;break}a?(this.subplot.setOptions(i,\"setLayoutProperty\",n.layout),n.layout.visibility===\"visible\"&&this.subplot.setOptions(i,\"setPaintProperty\",n.paint)):this.subplot.addLayer(n,r)};Gk.update=function(t){var r=t[0].trace,n=this.subplot,i=n.map,a=JVe(n.gd,t),o=n.belowLookup[\"trace-\"+this.uid],s=!!(r.cluster&&r.cluster.enabled),l=!!this.clusterEnabled,u=this;function c(E){E||u.addSource(\"circle\",a.circle,r.cluster);for(var S=rg.cluster,L=0;L<S.length;L++){var x=S[L],C=a[x];u.addLayer(x,C,o)}}function f(E){for(var S=rg.cluster,L=S.length-1;L>=0;L--){var x=S[L];i.removeLayer(u.layerIds[x])}E||i.removeSource(u.sourceIds.circle)}function h(E){for(var S=rg.nonCluster,L=0;L<S.length;L++){var x=S[L],C=a[x];E||u.addSource(x,C),u.addLayer(x,C,o)}}function d(E){for(var S=rg.nonCluster,L=S.length-1;L>=0;L--){var x=S[L];i.removeLayer(u.layerIds[x]),E||i.removeSource(u.sourceIds[x])}}function v(E){l?f(E):d(E)}function _(E){s?c(E):h(E)}function b(){for(var E=s?rg.cluster:rg.nonCluster,S=0;S<E.length;S++){var L=E[S],x=a[L];x&&(n.setOptions(u.layerIds[L],\"setLayoutProperty\",x.layout),x.layout.visibility===\"visible\"&&(L!==\"cluster\"&&u.setSourceData(L,x),n.setOptions(u.layerIds[L],\"setPaintProperty\",x.paint)))}}var p=this.isHidden,k=r.visible!==!0;k?p||v():p?k||_():l!==s?(v(),_()):(this.below!==o&&(v(!0),_(!0)),b()),this.clusterEnabled=s,this.isHidden=k,this.below=o,t[0].trace._glTrace=this};Gk.dispose=function(){for(var t=this.subplot.map,r=this.clusterEnabled?rg.cluster:rg.nonCluster,n=r.length-1;n>=0;n--){var i=r[n];t.removeLayer(this.layerIds[i]),t.removeSource(this.sourceIds[i])}};QVe.exports=function(t,r){var n=r[0].trace,i=n.cluster&&n.cluster.enabled,a=n.visible!==!0,o=new $Ve(t,n.uid,i,a),s=JVe(t.gd,r),l=o.below=t.belowLookup[\"trace-\"+n.uid],u,c,f;if(i)for(o.addSource(\"circle\",s.circle,n.cluster),u=0;u<rg.cluster.length;u++)c=rg.cluster[u],f=s[c],o.addLayer(c,f,l);else for(u=0;u<rg.nonCluster.length;u++)c=rg.nonCluster[u],f=s[c],o.addSource(c,f,n.cluster),o.addLayer(c,f,l);return r[0].trace._glTrace=o,o}});var Jz=ye((gxr,rGe)=>{\"use strict\";var Mjt=vf(),oJ=Dr(),Ejt=cT(),kjt=oJ.fillText,Cjt=fs().BADNUM,Ljt=c1().traceLayerPrefix;function Pjt(e,t,r){var n=e.cd,i=n[0].trace,a=e.xa,o=e.ya,s=e.subplot,l=[],u=Ljt+i.uid+\"-circle\",c=i.cluster&&i.cluster.enabled;if(c){var f=s.map.queryRenderedFeatures(null,{layers:[u]});l=f.map(function(M){return M.id})}var h=t>=0?Math.floor((t+180)/360):Math.ceil((t-180)/360),d=h*360,v=t-d;function _(M){var g=M.lonlat;if(g[0]===Cjt||c&&l.indexOf(M.i+1)===-1)return 1/0;var P=oJ.modHalf(g[0],360),T=g[1],z=s.project([P,T]),O=z.x-a.c2p([v,T]),V=z.y-o.c2p([P,r]),G=Math.max(3,M.mrc||0);return Math.max(Math.sqrt(O*O+V*V)-G,1-3/G)}if(Mjt.getClosest(n,_,e),e.index!==!1){var b=n[e.index],p=b.lonlat,k=[oJ.modHalf(p[0],360)+d,p[1]],E=a.c2p(k),S=o.c2p(k),L=b.mrc||1;e.x0=E-L,e.x1=E+L,e.y0=S-L,e.y1=S+L;var x={};x[i.subplot]={_subplot:s};var C=i._module.formatLabels(b,i,x);return e.lonLabel=C.lonLabel,e.latLabel=C.latLabel,e.color=Ejt(i,b),e.extraText=tGe(i,b,n[0].t.labels),e.hovertemplate=i.hovertemplate,[e]}}function tGe(e,t,r){if(e.hovertemplate)return;var n=t.hi||e.hoverinfo,i=n.split(\"+\"),a=i.indexOf(\"all\")!==-1,o=i.indexOf(\"lon\")!==-1,s=i.indexOf(\"lat\")!==-1,l=t.lonlat,u=[];function c(f){return f+\"\\xB0\"}return a||o&&s?u.push(\"(\"+c(l[1])+\", \"+c(l[0])+\")\"):o?u.push(r.lon+c(l[0])):s&&u.push(r.lat+c(l[1])),(a||i.indexOf(\"text\")!==-1)&&kjt(t,e,u),u.join(\"<br>\")}rGe.exports={hoverPoints:Pjt,getExtraText:tGe}});var nGe=ye((mxr,iGe)=>{\"use strict\";iGe.exports=function(t,r){return t.lon=r.lon,t.lat=r.lat,t}});var oGe=ye((yxr,aGe)=>{\"use strict\";var Ijt=Dr(),Rjt=Ru(),Djt=fs().BADNUM;aGe.exports=function(t,r){var n=t.cd,i=t.xaxis,a=t.yaxis,o=[],s=n[0].trace,l;if(!Rjt.hasMarkers(s))return[];if(r===!1)for(l=0;l<n.length;l++)n[l].selected=0;else for(l=0;l<n.length;l++){var u=n[l],c=u.lonlat;if(c[0]!==Djt){var f=[Ijt.modHalf(c[0],360),c[1]],h=[i.c2p(f),a.c2p(f)];r.contains(h,null,l,t)?(o.push({pointNumber:l,lon:c[0],lat:c[1]}),u.selected=1):u.selected=0}}return o}});var uJ=ye((sJ,lJ)=>{(function(e,t){typeof sJ==\"object\"&&typeof lJ!=\"undefined\"?lJ.exports=t():(e=e||self,e.mapboxgl=t())})(sJ,function(){\"use strict\";var e,t,r;function n(i,a){if(!e)e=a;else if(!t)t=a;else{var o=\"var sharedChunk = {}; (\"+e+\")(sharedChunk); (\"+t+\")(sharedChunk);\",s={};e(s),r=a(s),typeof window!=\"undefined\"&&(r.workerUrl=window.URL.createObjectURL(new Blob([o],{type:\"text/javascript\"})))}}return n([\"exports\"],function(i){\"use strict\";function a(m,y){return y={exports:{}},m(y,y.exports),y.exports}var o=\"1.13.4\",s=l;function l(m,y,I,U){this.cx=3*m,this.bx=3*(I-m)-this.cx,this.ax=1-this.cx-this.bx,this.cy=3*y,this.by=3*(U-y)-this.cy,this.ay=1-this.cy-this.by,this.p1x=m,this.p1y=U,this.p2x=I,this.p2y=U}l.prototype.sampleCurveX=function(m){return((this.ax*m+this.bx)*m+this.cx)*m},l.prototype.sampleCurveY=function(m){return((this.ay*m+this.by)*m+this.cy)*m},l.prototype.sampleCurveDerivativeX=function(m){return(3*this.ax*m+2*this.bx)*m+this.cx},l.prototype.solveCurveX=function(m,y){typeof y==\"undefined\"&&(y=1e-6);var I,U,$,ae,he;for($=m,he=0;he<8;he++){if(ae=this.sampleCurveX($)-m,Math.abs(ae)<y)return $;var Oe=this.sampleCurveDerivativeX($);if(Math.abs(Oe)<1e-6)break;$=$-ae/Oe}if(I=0,U=1,$=m,$<I)return I;if($>U)return U;for(;I<U;){if(ae=this.sampleCurveX($),Math.abs(ae-m)<y)return $;m>ae?I=$:U=$,$=(U-I)*.5+I}return $},l.prototype.solve=function(m,y){return this.sampleCurveY(this.solveCurveX(m,y))};var u=c;function c(m,y){this.x=m,this.y=y}c.prototype={clone:function(){return new 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Cu(m.default,y.default);var U=m.stops.length;if(U===1||I<=m.stops[0][0])return m.stops[0][1];if(I>=m.stops[U-1][0])return m.stops[U-1][1];var $=hu(m.stops.map(function(ae){return ae[0]}),I);return m.stops[$][1]}function pu(m,y,I){var U=m.base!==void 0?m.base:1;if(no(I)!==\"number\")return Cu(m.default,y.default);var $=m.stops.length;if($===1||I<=m.stops[0][0])return m.stops[0][1];if(I>=m.stops[$-1][0])return m.stops[$-1][1];var ae=hu(m.stops.map(function(or){return or[0]}),I),he=xu(I,U,m.stops[ae][0],m.stops[ae+1][0]),Oe=m.stops[ae][1],rt=m.stops[ae+1][1],gt=zu[y.type]||rs;if(m.colorSpace&&m.colorSpace!==\"rgb\"){var Et=Xf[m.colorSpace];gt=function(or,_r){return Et.reverse(Et.interpolate(Et.forward(or),Et.forward(_r),he))}}return typeof Oe.evaluate==\"function\"?{evaluate:function(){for(var _r=[],pr=arguments.length;pr--;)_r[pr]=arguments[pr];var Fr=Oe.evaluate.apply(void 0,_r),oi=rt.evaluate.apply(void 0,_r);if(!(Fr===void 0||oi===void 0))return gt(Fr,oi,he)}}:gt(Oe,rt,he)}function Uc(m,y,I){return y.type===\"color\"?I=cs.parse(I):y.type===\"formatted\"?I=Jl.fromString(I.toString()):y.type===\"resolvedImage\"?I=fl.fromString(I.toString()):no(I)!==y.type&&(y.type!==\"enum\"||!y.values[I])&&(I=void 0),Cu(I,m.default,y.default)}function xu(m,y,I,U){var $=U-I,ae=m-I;return $===0?0:y===1?ae/$:(Math.pow(y,ae)-1)/(Math.pow(y,$)-1)}var Ac=function(y,I){this.expression=y,this._warningHistory={},this._evaluator=new Yo,this._defaultValue=I?ee(I):null,this._enumValues=I&&I.type===\"enum\"?I.values:null};Ac.prototype.evaluateWithoutErrorHandling=function(y,I,U,$,ae,he){return this._evaluator.globals=y,this._evaluator.feature=I,this._evaluator.featureState=U,this._evaluator.canonical=$,this._evaluator.availableImages=ae||null,this._evaluator.formattedSection=he,this.expression.evaluate(this._evaluator)},Ac.prototype.evaluate=function(y,I,U,$,ae,he){this._evaluator.globals=y,this._evaluator.feature=I||null,this._evaluator.featureState=U||null,this._evaluator.canonical=$,this._evaluator.availableImages=ae||null,this._evaluator.formattedSection=he||null;try{var Oe=this.expression.evaluate(this._evaluator);if(Oe==null||typeof Oe==\"number\"&&Oe!==Oe)return this._defaultValue;if(this._enumValues&&!(Oe in this._enumValues))throw new ps(\"Expected value to be one of \"+Object.keys(this._enumValues).map(function(rt){return JSON.stringify(rt)}).join(\", \")+\", but found \"+JSON.stringify(Oe)+\" instead.\");return Oe}catch(rt){return this._warningHistory[rt.message]||(this._warningHistory[rt.message]=!0,typeof console!=\"undefined\"&&console.warn(rt.message)),this._defaultValue}};function Ua(m){return Array.isArray(m)&&m.length>0&&typeof m[0]==\"string\"&&m[0]in Ka}function oo(m,y){var I=new ks(Ka,[],y?Q(y):void 0),U=I.parse(m,void 0,void 0,void 0,y&&y.type===\"string\"?{typeAnnotation:\"coerce\"}:void 0);return U?Ho(new Ac(U,y)):ml(I.errors)}var Vc=function(y,I){this.kind=y,this._styleExpression=I,this.isStateDependent=y!==\"constant\"&&!js(I.expression)};Vc.prototype.evaluateWithoutErrorHandling=function(y,I,U,$,ae,he){return this._styleExpression.evaluateWithoutErrorHandling(y,I,U,$,ae,he)},Vc.prototype.evaluate=function(y,I,U,$,ae,he){return this._styleExpression.evaluate(y,I,U,$,ae,he)};var hc=function(y,I,U,$){this.kind=y,this.zoomStops=U,this._styleExpression=I,this.isStateDependent=y!==\"camera\"&&!js(I.expression),this.interpolationType=$};hc.prototype.evaluateWithoutErrorHandling=function(y,I,U,$,ae,he){return this._styleExpression.evaluateWithoutErrorHandling(y,I,U,$,ae,he)},hc.prototype.evaluate=function(y,I,U,$,ae,he){return this._styleExpression.evaluate(y,I,U,$,ae,he)},hc.prototype.interpolationFactor=function(y,I,U){return this.interpolationType?Wl.interpolationFactor(this.interpolationType,y,I,U):0};function Ku(m,y){if(m=oo(m,y),m.result===\"error\")return m;var I=m.value.expression,U=ih(I);if(!U&&!Ws(y))return ml([new Ns(\"\",\"data expressions not supported\")]);var $=Eu(I,[\"zoom\"]);if(!$&&!Ls(y))return ml([new Ns(\"\",\"zoom expressions not supported\")]);var ae=B(I);if(!ae&&!$)return ml([new Ns(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.')]);if(ae instanceof Ns)return ml([ae]);if(ae instanceof Wl&&!va(y))return ml([new Ns(\"\",'\"interpolate\" expressions cannot be used with this property')]);if(!ae)return Ho(U?new Vc(\"constant\",m.value):new Vc(\"source\",m.value));var he=ae instanceof Wl?ae.interpolation:void 0;return Ho(U?new hc(\"camera\",m.value,ae.labels,he):new hc(\"composite\",m.value,ae.labels,he))}var ue=function(y,I){this._parameters=y,this._specification=I,Ol(this,$l(this._parameters,this._specification))};ue.deserialize=function(y){return new ue(y._parameters,y._specification)},ue.serialize=function(y){return{_parameters:y._parameters,_specification:y._specification}};function w(m,y){if(ys(m))return new ue(m,y);if(Ua(m)){var I=Ku(m,y);if(I.result===\"error\")throw new Error(I.value.map(function($){return $.key+\": \"+$.message}).join(\", \"));return I.value}else{var U=m;return typeof m==\"string\"&&y.type===\"color\"&&(U=cs.parse(m)),{kind:\"constant\",evaluate:function(){return U}}}}function B(m){var y=null;if(m instanceof Oc)y=B(m.result);else if(m instanceof Zu)for(var I=0,U=m.args;I<U.length;I+=1){var $=U[I];if(y=B($),y)break}else(m instanceof _u||m instanceof Wl)&&m.input instanceof Pa&&m.input.name===\"zoom\"&&(y=m);return y instanceof Ns||m.eachChild(function(ae){var he=B(ae);he instanceof Ns?y=he:!y&&he?y=new Ns(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.'):y&&he&&y!==he&&(y=new Ns(\"\",'Only one zoom-based \"step\" or \"interpolate\" subexpression may be used in an expression.'))}),y}function Q(m){var y={color:ql,string:Oo,number:aa,enum:Oo,boolean:qo,formatted:pl,resolvedImage:Zc};return m.type===\"array\"?Kl(y[m.value]||Do,m.length):y[m.type]}function ee(m){return m.type===\"color\"&&ys(m.default)?new cs(0,0,0,0):m.type===\"color\"?cs.parse(m.default)||null:m.default===void 0?null:m.default}function le(m){var y=m.key,I=m.value,U=m.valueSpec||{},$=m.objectElementValidators||{},ae=m.style,he=m.styleSpec,Oe=[],rt=no(I);if(rt!==\"object\")return[new _a(y,I,\"object expected, \"+rt+\" found\")];for(var gt in I){var Et=gt.split(\".\")[0],or=U[Et]||U[\"*\"],_r=void 0;if($[Et])_r=$[Et];else if(U[Et])_r=Qa;else if($[\"*\"])_r=$[\"*\"];else if(U[\"*\"])_r=Qa;else{Oe.push(new 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rt=[],gt=0;gt<y.length;gt++)rt=rt.concat(he({array:y,arrayIndex:gt,value:y[gt],valueSpec:Oe,style:U,styleSpec:$,key:ae+\"[\"+gt+\"]\"}));return rt}function Xe(m){var y=m.key,I=m.value,U=m.valueSpec,$=no(I);return $===\"number\"&&I!==I&&($=\"NaN\"),$!==\"number\"?[new _a(y,I,\"number expected, \"+$+\" found\")]:\"minimum\"in U&&I<U.minimum?[new _a(y,I,I+\" is less than the minimum value \"+U.minimum)]:\"maximum\"in U&&I>U.maximum?[new _a(y,I,I+\" is greater than the maximum value \"+U.maximum)]:[]}function ot(m){var y=m.valueSpec,I=xo(m.value.type),U,$={},ae,he,Oe=I!==\"categorical\"&&m.value.property===void 0,rt=!Oe,gt=no(m.value.stops)===\"array\"&&no(m.value.stops[0])===\"array\"&&no(m.value.stops[0][0])===\"object\",Et=le({key:m.key,value:m.value,valueSpec:m.styleSpec.function,style:m.style,styleSpec:m.styleSpec,objectElementValidators:{stops:or,default:Fr}});return I===\"identity\"&&Oe&&Et.push(new _a(m.key,m.value,'missing required property 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Hi=[],Ai=oi.value,bn=oi.key;if(no(Ai)!==\"array\")return[new _a(bn,Ai,\"array expected, \"+no(Ai)+\" found\")];if(Ai.length!==2)return[new _a(bn,Ai,\"array length 2 expected, length \"+Ai.length+\" found\")];if(gt){if(no(Ai[0])!==\"object\")return[new _a(bn,Ai,\"object expected, \"+no(Ai[0])+\" found\")];if(Ai[0].zoom===void 0)return[new _a(bn,Ai,\"object stop key must have zoom\")];if(Ai[0].value===void 0)return[new _a(bn,Ai,\"object stop key must have value\")];if(he&&he>xo(Ai[0].zoom))return[new _a(bn,Ai[0].zoom,\"stop zoom values must appear in ascending order\")];xo(Ai[0].zoom)!==he&&(he=xo(Ai[0].zoom),ae=void 0,$={}),Hi=Hi.concat(le({key:bn+\"[0]\",value:Ai[0],valueSpec:{zoom:{}},style:oi.style,styleSpec:oi.styleSpec,objectElementValidators:{zoom:Xe,value:pr}}))}else Hi=Hi.concat(pr({key:bn+\"[0]\",value:Ai[0],valueSpec:{},style:oi.style,styleSpec:oi.styleSpec},Ai));return Ua(Yl(Ai[1]))?Hi.concat([new _a(bn+\"[1]\",Ai[1],\"expressions are not allowed in function stops.\")]):Hi.concat(Qa({key:bn+\"[1]\",value:Ai[1],valueSpec:y,style:oi.style,styleSpec:oi.styleSpec}))}function pr(oi,Hi){var Ai=no(oi.value),bn=xo(oi.value),nn=oi.value!==null?oi.value:Hi;if(!U)U=Ai;else if(Ai!==U)return[new _a(oi.key,nn,Ai+\" stop domain type must match previous stop domain type \"+U)];if(Ai!==\"number\"&&Ai!==\"string\"&&Ai!==\"boolean\")return[new _a(oi.key,nn,\"stop domain value must be a number, string, or boolean\")];if(Ai!==\"number\"&&I!==\"categorical\"){var xn=\"number expected, \"+Ai+\" found\";return Ws(y)&&I===void 0&&(xn+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new _a(oi.key,nn,xn)]}return I===\"categorical\"&&Ai===\"number\"&&(!isFinite(bn)||Math.floor(bn)!==bn)?[new _a(oi.key,nn,\"integer expected, found \"+bn)]:I!==\"categorical\"&&Ai===\"number\"&&ae!==void 0&&bn<ae?[new _a(oi.key,nn,\"stop domain values must appear in ascending order\")]:(ae=bn,I===\"categorical\"&&bn in $?[new _a(oi.key,nn,\"stop domain values must be unique\")]:($[bn]=!0,[]))}function Fr(oi){return Qa({key:oi.key,value:oi.value,valueSpec:y,style:oi.style,styleSpec:oi.styleSpec})}}function Tt(m){var y=(m.expressionContext===\"property\"?Ku:oo)(Yl(m.value),m.valueSpec);if(y.result===\"error\")return y.value.map(function(U){return new _a(\"\"+m.key+U.key,m.value,U.message)});var I=y.value.expression||y.value._styleExpression.expression;if(m.expressionContext===\"property\"&&m.propertyKey===\"text-font\"&&!I.outputDefined())return[new _a(m.key,m.value,'Invalid data expression for \"'+m.propertyKey+'\". Output values must be contained as literals within the expression.')];if(m.expressionContext===\"property\"&&m.propertyType===\"layout\"&&!js(I))return[new _a(m.key,m.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(m.expressionContext===\"filter\"&&!js(I))return[new _a(m.key,m.value,'\"feature-state\" data expressions are not supported with filters.')];if(m.expressionContext&&m.expressionContext.indexOf(\"cluster\")===0){if(!Eu(I,[\"zoom\",\"feature-state\"]))return[new _a(m.key,m.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(m.expressionContext===\"cluster-initial\"&&!ih(I))return[new _a(m.key,m.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function Yt(m){var y=m.value,I=m.key,U=no(y);return U!==\"boolean\"?[new _a(I,y,\"boolean expected, \"+U+\" found\")]:[]}function Kt(m){var y=m.key,I=m.value,U=no(I);return U!==\"string\"?[new _a(y,I,\"color expected, \"+U+\" found\")]:Lf(I)===null?[new _a(y,I,'color expected, \"'+I+'\" found')]:[]}function xr(m){var y=m.key,I=m.value,U=m.valueSpec,$=[];return Array.isArray(U.values)?U.values.indexOf(xo(I))===-1&&$.push(new _a(y,I,\"expected one of [\"+U.values.join(\", \")+\"], \"+JSON.stringify(I)+\" found\")):Object.keys(U.values).indexOf(xo(I))===-1&&$.push(new _a(y,I,\"expected one of [\"+Object.keys(U.values).join(\", \")+\"], \"+JSON.stringify(I)+\" found\")),$}function Ir(m){if(m===!0||m===!1)return!0;if(!Array.isArray(m)||m.length===0)return!1;switch(m[0]){case\"has\":return m.length>=2&&m[1]!==\"$id\"&&m[1]!==\"$type\";case\"in\":return m.length>=3&&(typeof m[1]!=\"string\"||Array.isArray(m[2]));case\"!in\":case\"!has\":case\"none\":return!1;case\"==\":case\"!=\":case\">\":case\">=\":case\"<\":case\"<=\":return m.length!==3||Array.isArray(m[1])||Array.isArray(m[2]);case\"any\":case\"all\":for(var y=0,I=m.slice(1);y<I.length;y+=1){var U=I[y];if(!Ir(U)&&typeof U!=\"boolean\")return!1}return!0;default:return!0}}var ve={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function be(m){if(m==null)return{filter:function(){return!0},needGeometry:!1};Ir(m)||(m=et(m));var y=oo(m,ve);if(y.result===\"error\")throw new Error(y.value.map(function(U){return U.key+\": \"+U.message}).join(\", \"));var I=Be(m);return{filter:function(U,$,ae){return y.value.evaluate(U,$,{},ae)},needGeometry:I}}function De(m,y){return m<y?-1:m>y?1:0}function Be(m){if(!Array.isArray(m))return!1;if(m[0]===\"within\")return!0;for(var y=1;y<m.length;y++)if(Be(m[y]))return!0;return!1}function et(m){if(!m)return!0;var y=m[0];if(m.length<=1)return y!==\"any\";var I=y===\"==\"?We(m[1],m[2],\"==\"):y===\"!=\"?tr(We(m[1],m[2],\"==\")):y===\"<\"||y===\">\"||y===\"<=\"||y===\">=\"?We(m[1],m[2],y):y===\"any\"?it(m.slice(1)):y===\"all\"?[\"all\"].concat(m.slice(1).map(et)):y===\"none\"?[\"all\"].concat(m.slice(1).map(et).map(tr)):y===\"in\"?Ft(m[1],m.slice(2)):y===\"!in\"?tr(Ft(m[1],m.slice(2))):y===\"has\"?Ht(m[1]):y===\"!has\"?tr(Ht(m[1])):y===\"within\"?m:!0;return I}function We(m,y,I){switch(m){case\"$type\":return[\"filter-type-\"+I,y];case\"$id\":return[\"filter-id-\"+I,y];default:return[\"filter-\"+I,m,y]}}function it(m){return[\"any\"].concat(m.map(et))}function Ft(m,y){if(y.length===0)return!1;switch(m){case\"$type\":return[\"filter-type-in\",[\"literal\",y]];case\"$id\":return[\"filter-id-in\",[\"literal\",y]];default:return y.length>200&&!y.some(function(I){return typeof I!=typeof y[0]})?[\"filter-in-large\",m,[\"literal\",y.sort(De)]]:[\"filter-in-small\",m,[\"literal\",y]]}}function 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y.paint._values)if(U(ae)){var he=y.paint.get(ae);if(!(!(he instanceof dl)||!Ws(he.property.specification))){var Oe=Ti(ae,y.type),rt=he.value,gt=he.property.specification.type,Et=he.property.useIntegerZoom,or=he.property.specification[\"property-type\"],_r=or===\"cross-faded\"||or===\"cross-faded-data-driven\";if(rt.kind===\"constant\")this.binders[ae]=_r?new ht(rt.value,Oe):new Pt(rt.value,Oe,gt),$.push(\"/u_\"+ae);else if(rt.kind===\"source\"||_r){var pr=rn(ae,gt,\"source\");this.binders[ae]=_r?new Ur(rt,gt,Et,I,pr,y.id):new ur(rt,Oe,gt,pr),$.push(\"/a_\"+ae)}else{var Fr=rn(ae,gt,\"composite\");this.binders[ae]=new br(rt,Oe,gt,Et,I,Fr),$.push(\"/z_\"+ae)}}}this.cacheKey=$.sort().join(\"\")};Di.prototype.getMaxValue=function(y){var I=this.binders[y];return I instanceof ur||I instanceof br?I.maxValue:0},Di.prototype.populatePaintArrays=function(y,I,U,$,ae){for(var he in this.binders){var Oe=this.binders[he];(Oe instanceof ur||Oe instanceof br||Oe instanceof 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vg(I,I.readVarint()+I.pos);U.length&&(y[U.name]=U)}}var BC=qC,k1=gS,NC=vg,pg={VectorTile:BC,VectorTileFeature:k1,VectorTileLayer:NC},UC=pg.VectorTileFeature.types,Bw=500,C1=Math.pow(2,13);function fm(m,y,I,U,$,ae,he,Oe){m.emplaceBack(y,I,Math.floor(U*C1)*2+he,$*C1*2,ae*C1*2,Math.round(Oe))}var Vp=function(y){this.zoom=y.zoom,this.overscaling=y.overscaling,this.layers=y.layers,this.layerIds=this.layers.map(function(I){return I.id}),this.index=y.index,this.hasPattern=!1,this.layoutVertexArray=new Ri,this.indexArray=new pn,this.programConfigurations=new fi(y.layers,y.zoom),this.segments=new io,this.stateDependentLayerIds=this.layers.filter(function(I){return I.isStateDependent()}).map(function(I){return I.id})};Vp.prototype.populate=function(y,I,U){this.features=[],this.hasPattern=qw(\"fill-extrusion\",this.layers,I);for(var $=0,ae=y;$<ae.length;$+=1){var he=ae[$],Oe=he.feature,rt=he.id,gt=he.index,Et=he.sourceLayerIndex,or=this.layers[0]._featureFilter.needGeometry,_r=Ja(Oe,or);if(this.layers[0]._featureFilter.filter(new Gn(this.zoom),_r,U)){var pr={id:rt,sourceLayerIndex:Et,index:gt,geometry:or?_r.geometry:zn(Oe),properties:Oe.properties,type:Oe.type,patterns:{}};this.hasPattern?this.features.push(Jx(\"fill-extrusion\",this.layers,pr,this.zoom,I)):this.addFeature(pr,pr.geometry,gt,U,{}),I.featureIndex.insert(Oe,pr.geometry,gt,Et,this.index,!0)}}},Vp.prototype.addFeatures=function(y,I,U){for(var $=0,ae=this.features;$<ae.length;$+=1){var he=ae[$],Oe=he.geometry;this.addFeature(he,Oe,he.index,I,U)}},Vp.prototype.update=function(y,I,U){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(y,I,this.stateDependentLayers,U)},Vp.prototype.isEmpty=function(){return 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xn=Hi[bn-1];if(!tO(nn,xn)){pr.vertexLength+4>io.MAX_VERTEX_ARRAY_LENGTH&&(pr=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var Pn=nn.sub(xn)._perp()._unit(),Zn=xn.dist(nn);Ai+Zn>32768&&(Ai=0),fm(this.layoutVertexArray,nn.x,nn.y,Pn.x,Pn.y,0,0,Ai),fm(this.layoutVertexArray,nn.x,nn.y,Pn.x,Pn.y,0,1,Ai),Ai+=Zn,fm(this.layoutVertexArray,xn.x,xn.y,Pn.x,Pn.y,0,0,Ai),fm(this.layoutVertexArray,xn.x,xn.y,Pn.x,Pn.y,0,1,Ai);var ga=pr.vertexLength;this.indexArray.emplaceBack(ga,ga+2,ga+1),this.indexArray.emplaceBack(ga+1,ga+2,ga+3),pr.vertexLength+=4,pr.primitiveLength+=2}}}}if(pr.vertexLength+gt>io.MAX_VERTEX_ARRAY_LENGTH&&(pr=this.segments.prepareSegment(gt,this.layoutVertexArray,this.indexArray)),UC[y.type]===\"Polygon\"){for(var ha=[],eo=[],za=pr.vertexLength,Za=0,Ko=rt;Za<Ko.length;Za+=1){var to=Ko[Za];if(to.length!==0){to!==rt[0]&&eo.push(ha.length/2);for(var ao=0;ao<to.length;ao++){var _s=to[ao];fm(this.layoutVertexArray,_s.x,_s.y,0,0,1,1,0),ha.push(_s.x),ha.push(_s.y)}}}for(var jo=Rw(ha,eo),El=0;El<jo.length;El+=3)this.indexArray.emplaceBack(za+jo[El],za+jo[El+2],za+jo[El+1]);pr.primitiveLength+=jo.length/3,pr.vertexLength+=gt}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,y,U,ae,$)},X(\"FillExtrusionBucket\",Vp,{omit:[\"layers\",\"features\"]});function tO(m,y){return m.x===y.x&&(m.x<0||m.x>Ci)||m.y===y.y&&(m.y<0||m.y>Ci)}function rO(m){return m.every(function(y){return y.x<0})||m.every(function(y){return y.x>Ci})||m.every(function(y){return y.y<0})||m.every(function(y){return y.y>Ci})}var L1=new Nr({\"fill-extrusion-opacity\":new Me(Rn[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new bt(Rn[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new Me(Rn[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new Me(Rn[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new zt(Rn[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new bt(Rn[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new bt(Rn[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new Me(Rn[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])}),sd={paint:L1},hm=function(m){function y(I){m.call(this,I,sd)}return m&&(y.__proto__=m),y.prototype=Object.create(m&&m.prototype),y.prototype.constructor=y,y.prototype.createBucket=function(U){return new Vp(U)},y.prototype.queryRadius=function(){return Pv(this.paint.get(\"fill-extrusion-translate\"))},y.prototype.is3D=function(){return!0},y.prototype.queryIntersectsFeature=function(U,$,ae,he,Oe,rt,gt,Et){var or=Jv(U,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),rt.angle,gt),_r=this.paint.get(\"fill-extrusion-height\").evaluate($,ae),pr=this.paint.get(\"fill-extrusion-base\").evaluate($,ae),Fr=iO(or,Et,rt,0),oi=_S(he,pr,_r,Et),Hi=oi[0],Ai=oi[1];return VC(Hi,Ai,Fr)},y}(mi);function hy(m,y){return m.x*y.x+m.y*y.y}function yS(m,y){if(m.length===1){for(var I=0,U=y[I++],$;!$||U.equals($);)if($=y[I++],!$)return 1/0;for(;I<y.length;I++){var ae=y[I],he=m[0],Oe=$.sub(U),rt=ae.sub(U),gt=he.sub(U),Et=hy(Oe,Oe),or=hy(Oe,rt),_r=hy(rt,rt),pr=hy(gt,Oe),Fr=hy(gt,rt),oi=Et*_r-or*or,Hi=(_r*pr-or*Fr)/oi,Ai=(Et*Fr-or*pr)/oi,bn=1-Hi-Ai,nn=U.z*bn+$.z*Hi+ae.z*Ai;if(isFinite(nn))return nn}return 1/0}else{for(var xn=1/0,Pn=0,Zn=y;Pn<Zn.length;Pn+=1){var ga=Zn[Pn];xn=Math.min(xn,ga.z)}return xn}}function VC(m,y,I){var U=1/0;ms(I,y)&&(U=yS(I,y[0]));for(var $=0;$<y.length;$++)for(var ae=y[$],he=m[$],Oe=0;Oe<ae.length-1;Oe++){var rt=ae[Oe],gt=ae[Oe+1],Et=he[Oe],or=he[Oe+1],_r=[rt,gt,or,Et,rt];so(I,_r)&&(U=Math.min(U,yS(I,_r)))}return U===1/0?!1:U}function _S(m,y,I,U){for(var $=[],ae=[],he=U[8]*y,Oe=U[9]*y,rt=U[10]*y,gt=U[11]*y,Et=U[8]*I,or=U[9]*I,_r=U[10]*I,pr=U[11]*I,Fr=0,oi=m;Fr<oi.length;Fr+=1){for(var Hi=oi[Fr],Ai=[],bn=[],nn=0,xn=Hi;nn<xn.length;nn+=1){var Pn=xn[nn],Zn=Pn.x,ga=Pn.y,ha=U[0]*Zn+U[4]*ga+U[12],eo=U[1]*Zn+U[5]*ga+U[13],za=U[2]*Zn+U[6]*ga+U[14],Za=U[3]*Zn+U[7]*ga+U[15],Ko=ha+he,to=eo+Oe,ao=za+rt,_s=Za+gt,jo=ha+Et,El=eo+or,Iu=za+_r,kl=Za+pr,Cl=new u(Ko/_s,to/_s);Cl.z=ao/_s,Ai.push(Cl);var yl=new u(jo/kl,El/kl);yl.z=Iu/kl,bn.push(yl)}$.push(Ai),ae.push(bn)}return[$,ae]}function iO(m,y,I,U){for(var $=[],ae=0,he=m;ae<he.length;ae+=1){var Oe=he[ae],rt=[Oe.x,Oe.y,U,1];uy(rt,rt,y),$.push(new u(rt[0]/rt[3],rt[1]/rt[3]))}return $}var GC=Wi([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4),HC=GC.members,nO=Wi([{name:\"a_uv_x\",components:1,type:\"Float32\"},{name:\"a_split_index\",components:1,type:\"Float32\"}]),jC=nO.members,xS=pg.VectorTileFeature.types,Nw=63,WC=Math.cos(75/2*(Math.PI/180)),eb=15,bS=20,XC=15,Uw=1/2,tb=Math.pow(2,XC-1)/Uw,sh=function(y){var I=this;this.zoom=y.zoom,this.overscaling=y.overscaling,this.layers=y.layers,this.layerIds=this.layers.map(function(U){return U.id}),this.index=y.index,this.hasPattern=!1,this.patternFeatures=[],this.lineClipsArray=[],this.gradients={},this.layers.forEach(function(U){I.gradients[U.id]={}}),this.layoutVertexArray=new ci,this.layoutVertexArray2=new an,this.indexArray=new pn,this.programConfigurations=new fi(y.layers,y.zoom),this.segments=new io,this.maxLineLength=0,this.stateDependentLayerIds=this.layers.filter(function(U){return U.isStateDependent()}).map(function(U){return U.id})};sh.prototype.populate=function(y,I,U){this.hasPattern=qw(\"line\",this.layers,I);for(var $=this.layers[0].layout.get(\"line-sort-key\"),ae=[],he=0,Oe=y;he<Oe.length;he+=1){var rt=Oe[he],gt=rt.feature,Et=rt.id,or=rt.index,_r=rt.sourceLayerIndex,pr=this.layers[0]._featureFilter.needGeometry,Fr=Ja(gt,pr);if(this.layers[0]._featureFilter.filter(new Gn(this.zoom),Fr,U)){var oi=$?$.evaluate(Fr,{},U):void 0,Hi={id:Et,properties:gt.properties,type:gt.type,sourceLayerIndex:_r,index:or,geometry:pr?Fr.geometry:zn(gt),patterns:{},sortKey:oi};ae.push(Hi)}}$&&ae.sort(function(za,Za){return za.sortKey-Za.sortKey});for(var Ai=0,bn=ae;Ai<bn.length;Ai+=1){var nn=bn[Ai],xn=nn,Pn=xn.geometry,Zn=xn.index,ga=xn.sourceLayerIndex;if(this.hasPattern){var ha=Jx(\"line\",this.layers,nn,this.zoom,I);this.patternFeatures.push(ha)}else this.addFeature(nn,Pn,Zn,U,{});var eo=y[Zn].feature;I.featureIndex.insert(eo,Pn,Zn,ga,this.index)}},sh.prototype.update=function(y,I,U){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(y,I,this.stateDependentLayers,U)},sh.prototype.addFeatures=function(y,I,U){for(var $=0,ae=this.patternFeatures;$<ae.length;$+=1){var he=ae[$];this.addFeature(he,he.geometry,he.index,I,U)}},sh.prototype.isEmpty=function(){return this.layoutVertexArray.length===0},sh.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},sh.prototype.upload=function(y){this.uploaded||(this.layoutVertexArray2.length!==0&&(this.layoutVertexBuffer2=y.createVertexBuffer(this.layoutVertexArray2,jC)),this.layoutVertexBuffer=y.createVertexBuffer(this.layoutVertexArray,HC),this.indexBuffer=y.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(y),this.uploaded=!0},sh.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},sh.prototype.lineFeatureClips=function(y){if(y.properties&&y.properties.hasOwnProperty(\"mapbox_clip_start\")&&y.properties.hasOwnProperty(\"mapbox_clip_end\")){var I=+y.properties.mapbox_clip_start,U=+y.properties.mapbox_clip_end;return{start:I,end:U}}},sh.prototype.addFeature=function(y,I,U,$,ae){var he=this.layers[0].layout,Oe=he.get(\"line-join\").evaluate(y,{}),rt=he.get(\"line-cap\"),gt=he.get(\"line-miter-limit\"),Et=he.get(\"line-round-limit\");this.lineClips=this.lineFeatureClips(y);for(var or=0,_r=I;or<_r.length;or+=1){var pr=_r[or];this.addLine(pr,y,Oe,rt,gt,Et)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,y,U,ae,$)},sh.prototype.addLine=function(y,I,U,$,ae,he){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,this.lineClips){this.lineClipsArray.push(this.lineClips);for(var Oe=0;Oe<y.length-1;Oe++)this.totalDistance+=y[Oe].dist(y[Oe+1]);this.updateScaledDistance(),this.maxLineLength=Math.max(this.maxLineLength,this.totalDistance)}for(var rt=xS[I.type]===\"Polygon\",gt=y.length;gt>=2&&y[gt-1].equals(y[gt-2]);)gt--;for(var Et=0;Et<gt-1&&y[Et].equals(y[Et+1]);)Et++;if(!(gt<(rt?3:2))){U===\"bevel\"&&(ae=1.05);var or=this.overscaling<=16?eb*Ci/(512*this.overscaling):0,_r=this.segments.prepareSegment(gt*10,this.layoutVertexArray,this.indexArray),pr,Fr=void 0,oi=void 0,Hi=void 0,Ai=void 0;this.e1=this.e2=-1,rt&&(pr=y[gt-2],Ai=y[Et].sub(pr)._unit()._perp());for(var bn=Et;bn<gt;bn++)if(oi=bn===gt-1?rt?y[Et+1]:void 0:y[bn+1],!(oi&&y[bn].equals(oi))){Ai&&(Hi=Ai),pr&&(Fr=pr),pr=y[bn],Ai=oi?oi.sub(pr)._unit()._perp():Hi,Hi=Hi||Ai;var nn=Hi.add(Ai);(nn.x!==0||nn.y!==0)&&nn._unit();var xn=Hi.x*Ai.x+Hi.y*Ai.y,Pn=nn.x*Ai.x+nn.y*Ai.y,Zn=Pn!==0?1/Pn:1/0,ga=2*Math.sqrt(2-2*Pn),ha=Pn<WC&&Fr&&oi,eo=Hi.x*Ai.y-Hi.y*Ai.x>0;if(ha&&bn>Et){var za=pr.dist(Fr);if(za>2*or){var Za=pr.sub(pr.sub(Fr)._mult(or/za)._round());this.updateDistance(Fr,Za),this.addCurrentVertex(Za,Hi,0,0,_r),Fr=Za}}var Ko=Fr&&oi,to=Ko?U:rt?\"butt\":$;if(Ko&&to===\"round\"&&(Zn<he?to=\"miter\":Zn<=2&&(to=\"fakeround\")),to===\"miter\"&&Zn>ae&&(to=\"bevel\"),to===\"bevel\"&&(Zn>2&&(to=\"flipbevel\"),Zn<ae&&(to=\"miter\")),Fr&&this.updateDistance(Fr,pr),to===\"miter\")nn._mult(Zn),this.addCurrentVertex(pr,nn,0,0,_r);else if(to===\"flipbevel\"){if(Zn>100)nn=Ai.mult(-1);else{var ao=Zn*Hi.add(Ai).mag()/Hi.sub(Ai).mag();nn._perp()._mult(ao*(eo?-1:1))}this.addCurrentVertex(pr,nn,0,0,_r),this.addCurrentVertex(pr,nn.mult(-1),0,0,_r)}else if(to===\"bevel\"||to===\"fakeround\"){var _s=-Math.sqrt(Zn*Zn-1),jo=eo?_s:0,El=eo?0:_s;if(Fr&&this.addCurrentVertex(pr,Hi,jo,El,_r),to===\"fakeround\")for(var Iu=Math.round(ga*180/Math.PI/bS),kl=1;kl<Iu;kl++){var Cl=kl/Iu;if(Cl!==.5){var yl=Cl-.5,Qu=1.0904+xn*(-3.2452+xn*(3.55645-xn*1.43519)),gc=.848013+xn*(-1.06021+xn*.215638);Cl=Cl+Cl*yl*(Cl-1)*(Qu*yl*yl+gc)}var Sf=Ai.sub(Hi)._mult(Cl)._add(Hi)._unit()._mult(eo?-1:1);this.addHalfVertex(pr,Sf.x,Sf.y,!1,eo,0,_r)}oi&&this.addCurrentVertex(pr,Ai,-jo,-El,_r)}else if(to===\"butt\")this.addCurrentVertex(pr,nn,0,0,_r);else if(to===\"square\"){var Ff=Fr?1:-1;this.addCurrentVertex(pr,nn,Ff,Ff,_r)}else to===\"round\"&&(Fr&&(this.addCurrentVertex(pr,Hi,0,0,_r),this.addCurrentVertex(pr,Hi,1,1,_r,!0)),oi&&(this.addCurrentVertex(pr,Ai,-1,-1,_r,!0),this.addCurrentVertex(pr,Ai,0,0,_r)));if(ha&&bn<gt-1){var Yh=pr.dist(oi);if(Yh>2*or){var ch=pr.add(oi.sub(pr)._mult(or/Yh)._round());this.updateDistance(pr,ch),this.addCurrentVertex(ch,Ai,0,0,_r),pr=ch}}}}},sh.prototype.addCurrentVertex=function(y,I,U,$,ae,he){he===void 0&&(he=!1);var Oe=I.x+I.y*U,rt=I.y-I.x*U,gt=-I.x+I.y*$,Et=-I.y-I.x*$;this.addHalfVertex(y,Oe,rt,he,!1,U,ae),this.addHalfVertex(y,gt,Et,he,!0,-$,ae),this.distance>tb/2&&this.totalDistance===0&&(this.distance=0,this.addCurrentVertex(y,I,U,$,ae,he))},sh.prototype.addHalfVertex=function(y,I,U,$,ae,he,Oe){var rt=y.x,gt=y.y,Et=this.lineClips?this.scaledDistance*(tb-1):this.scaledDistance,or=Et*Uw;if(this.layoutVertexArray.emplaceBack((rt<<1)+($?1:0),(gt<<1)+(ae?1:0),Math.round(Nw*I)+128,Math.round(Nw*U)+128,(he===0?0:he<0?-1:1)+1|(or&63)<<2,or>>6),this.lineClips){var _r=this.scaledDistance-this.lineClips.start,pr=this.lineClips.end-this.lineClips.start,Fr=_r/pr;this.layoutVertexArray2.emplaceBack(Fr,this.lineClipsArray.length)}var 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yl=rt.get(\"text-radial-offset\").evaluate(ha,{},he);yl?_s=VQ(kl,[yl*Tn,fO]):_s=rt.get(\"text-offset\").evaluate(ha,{},he).map(function(gy){return gy*Tn})}var Qu=bn?\"center\":rt.get(\"text-justify\").evaluate(ha,{},he),gc=rt.get(\"symbol-placement\"),Sf=gc===\"point\"?rt.get(\"text-max-width\").evaluate(ha,{},he)*Tn:0,Ff=function(){m.allowVerticalPlacement&&jt(jo)&&(to.vertical=Hw(ao,y,I,$,eo,Sf,Ai,kl,\"left\",Iu,_s,uv.vertical,!0,gc,Za,za))};if(!bn&&Cl){for(var Yh=Qu===\"auto\"?Cl.map(function(gy){return hO(gy)}):[Qu],ch=!1,Xd=0;Xd<Yh.length;Xd++){var Zd=Yh[Xd];if(!to.horizontal[Zd])if(ch)to.horizontal[Zd]=to.horizontal[0];else{var Kh=Hw(ao,y,I,$,eo,Sf,Ai,\"center\",Zd,Iu,_s,uv.horizontal,!1,gc,Za,za);Kh&&(to.horizontal[Zd]=Kh,ch=Kh.positionedLines.length===1)}}Ff()}else{Qu===\"auto\"&&(Qu=hO(kl));var fv=Hw(ao,y,I,$,eo,Sf,Ai,kl,Qu,Iu,_s,uv.horizontal,!1,gc,Za,za);fv&&(to.horizontal[Qu]=fv),Ff(),jt(jo)&&bn&&nn&&(to.vertical=Hw(ao,y,I,$,eo,Sf,Ai,kl,Qu,Iu,_s,uv.vertical,!1,gc,Za,za))}}var hv=void 0,Ch=!1;if(ha.icon&&ha.icon.name){var dv=U[ha.icon.name];dv&&(hv=rp($[ha.icon.name],rt.get(\"icon-offset\").evaluate(ha,{},he),rt.get(\"icon-anchor\").evaluate(ha,{},he)),Ch=dv.sdf,m.sdfIcons===void 0?m.sdfIcons=dv.sdf:m.sdfIcons!==dv.sdf&&te(\"Style sheet warning: Cannot mix SDF and non-SDF icons in one buffer\"),(dv.pixelRatio!==m.pixelRatio||rt.get(\"icon-rotate\").constantOr(1)!==0)&&(m.iconsNeedLinear=!0))}var xp=HQ(to.horizontal)||to.vertical;m.iconsInText=xp?xp.iconsInText:!1,(xp||hv)&&Fet(m,ha,to,hv,U,Et,Za,Ko,_s,Ch,he)},Zn=0,ga=m.features;Zn<ga.length;Zn+=1)Pn();ae&&m.generateCollisionDebugBuffers()}function hO(m){switch(m){case\"right\":case\"top-right\":case\"bottom-right\":return\"right\";case\"left\":case\"top-left\":case\"bottom-left\":return\"left\"}return\"center\"}function Fet(m,y,I,U,$,ae,he,Oe,rt,gt,Et){var or=ae.textMaxSize.evaluate(y,{});or===void 0&&(or=he);var _r=m.layers[0].layout,pr=_r.get(\"icon-offset\").evaluate(y,{},Et),Fr=HQ(I.horizontal),oi=24,Hi=he/oi,Ai=m.tilePixelRatio*Hi,bn=m.tilePixelRatio*or/oi,nn=m.tilePixelRatio*Oe,xn=m.tilePixelRatio*_r.get(\"symbol-spacing\"),Pn=_r.get(\"text-padding\")*m.tilePixelRatio,Zn=_r.get(\"icon-padding\")*m.tilePixelRatio,ga=_r.get(\"text-max-angle\")/180*Math.PI,ha=_r.get(\"text-rotation-alignment\")===\"map\"&&_r.get(\"symbol-placement\")!==\"point\",eo=_r.get(\"icon-rotation-alignment\")===\"map\"&&_r.get(\"symbol-placement\")!==\"point\",za=_r.get(\"symbol-placement\"),Za=xn/2,Ko=_r.get(\"icon-text-fit\"),to;U&&Ko!==\"none\"&&(m.allowVerticalPlacement&&I.vertical&&(to=dm(U,I.vertical,Ko,_r.get(\"icon-text-fit-padding\"),pr,Hi)),Fr&&(U=dm(U,Fr,Ko,_r.get(\"icon-text-fit-padding\"),pr,Hi)));var ao=function(e3,m0){m0.x<0||m0.x>=Ci||m0.y<0||m0.y>=Ci||zet(m,m0,e3,I,U,$,to,m.layers[0],m.collisionBoxArray,y.index,y.sourceLayerIndex,m.index,Ai,Pn,ha,rt,nn,Zn,eo,pr,y,ae,gt,Et,he)};if(za===\"line\")for(var _s=0,jo=BQ(y.geometry,0,0,Ci,Ci);_s<jo.length;_s+=1)for(var El=jo[_s],Iu=Eet(El,xn,ga,I.vertical||Fr,U,oi,bn,m.overscaling,Ci),kl=0,Cl=Iu;kl<Cl.length;kl+=1){var yl=Cl[kl],Qu=Fr;(!Qu||!Oet(m,Qu.text,Za,yl))&&ao(El,yl)}else if(za===\"line-center\")for(var gc=0,Sf=y.geometry;gc<Sf.length;gc+=1){var Ff=Sf[gc];if(Ff.length>1){var Yh=Met(Ff,ga,I.vertical||Fr,U,oi,bn);Yh&&ao(Ff,Yh)}}else if(y.type===\"Polygon\")for(var ch=0,Xd=Ow(y.geometry,0);ch<Xd.length;ch+=1){var Zd=Xd[ch],Kh=Let(Zd,16);ao(Zd[0],new Wd(Kh.x,Kh.y,0))}else if(y.type===\"LineString\")for(var fv=0,hv=y.geometry;fv<hv.length;fv+=1){var Ch=hv[fv];ao(Ch,new Wd(Ch[0].x,Ch[0].y,0))}else if(y.type===\"Point\")for(var dv=0,xp=y.geometry;dv<xp.length;dv+=1)for(var gy=xp[dv],F1=0,z1=gy;F1<z1.length;F1+=1){var O1=z1[F1];ao([O1],new Wd(O1.x,O1.y,0))}}var MS=255,R1=MS*Cd;function GQ(m,y,I,U,$,ae,he,Oe,rt,gt,Et,or,_r,pr,Fr){var oi=ket(y,I,Oe,$,ae,he,U,m.allowVerticalPlacement),Hi=m.textSizeData,Ai=null;Hi.kind===\"source\"?(Ai=[Cd*$.layout.get(\"text-size\").evaluate(he,{})],Ai[0]>R1&&te(m.layerIds[0]+': Value for \"text-size\" is >= '+MS+'. 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Reduce your \"text-size\".')),m.addSymbols(m.text,oi,Ai,Oe,ae,he,gt,y,rt.lineStartIndex,rt.lineLength,_r,Fr);for(var bn=0,nn=Et;bn<nn.length;bn+=1){var xn=nn[bn];or[xn]=m.text.placedSymbolArray.length-1}return oi.length*4}function HQ(m){for(var y in m)return m[y];return null}function zet(m,y,I,U,$,ae,he,Oe,rt,gt,Et,or,_r,pr,Fr,oi,Hi,Ai,bn,nn,xn,Pn,Zn,ga,ha){var eo,za=m.addToLineVertexArray(y,I),Za,Ko,to,ao,_s=0,jo=0,El=0,Iu=0,kl=-1,Cl=-1,yl={},Qu=K(\"\"),gc=0,Sf=0;if(Oe._unevaluatedLayout.getValue(\"text-radial-offset\")===void 0?(eo=Oe.layout.get(\"text-offset\").evaluate(xn,{},ga).map(function(CS){return CS*Tn}),gc=eo[0],Sf=eo[1]):(gc=Oe.layout.get(\"text-radial-offset\").evaluate(xn,{},ga)*Tn,Sf=fO),m.allowVerticalPlacement&&U.vertical){var Ff=Oe.layout.get(\"text-rotate\").evaluate(xn,{},ga),Yh=Ff+90,ch=U.vertical;to=new QC(rt,y,gt,Et,or,ch,_r,pr,Fr,Yh),he&&(ao=new QC(rt,y,gt,Et,or,he,Hi,Ai,Fr,Yh))}if($){var Xd=Oe.layout.get(\"icon-rotate\").evaluate(xn,{}),Zd=Oe.layout.get(\"icon-text-fit\")!==\"none\",Kh=NQ($,Xd,Zn,Zd),fv=he?NQ(he,Xd,Zn,Zd):void 0;Ko=new QC(rt,y,gt,Et,or,$,Hi,Ai,!1,Xd),_s=Kh.length*4;var hv=m.iconSizeData,Ch=null;hv.kind===\"source\"?(Ch=[Cd*Oe.layout.get(\"icon-size\").evaluate(xn,{})],Ch[0]>R1&&te(m.layerIds[0]+': Value for \"icon-size\" is >= '+MS+'. Reduce your \"icon-size\".')):hv.kind===\"composite\"&&(Ch=[Cd*Pn.compositeIconSizes[0].evaluate(xn,{},ga),Cd*Pn.compositeIconSizes[1].evaluate(xn,{},ga)],(Ch[0]>R1||Ch[1]>R1)&&te(m.layerIds[0]+': Value for \"icon-size\" is >= '+MS+'. Reduce your \"icon-size\".')),m.addSymbols(m.icon,Kh,Ch,nn,bn,xn,!1,y,za.lineStartIndex,za.lineLength,-1,ga),kl=m.icon.placedSymbolArray.length-1,fv&&(jo=fv.length*4,m.addSymbols(m.icon,fv,Ch,nn,bn,xn,uv.vertical,y,za.lineStartIndex,za.lineLength,-1,ga),Cl=m.icon.placedSymbolArray.length-1)}for(var dv in U.horizontal){var xp=U.horizontal[dv];if(!Za){Qu=K(xp.text);var gy=Oe.layout.get(\"text-rotate\").evaluate(xn,{},ga);Za=new QC(rt,y,gt,Et,or,xp,_r,pr,Fr,gy)}var F1=xp.positionedLines.length===1;if(El+=GQ(m,y,xp,ae,Oe,Fr,xn,oi,za,U.vertical?uv.horizontal:uv.horizontalOnly,F1?Object.keys(U.horizontal):[dv],yl,kl,Pn,ga),F1)break}U.vertical&&(Iu+=GQ(m,y,U.vertical,ae,Oe,Fr,xn,oi,za,uv.vertical,[\"vertical\"],yl,Cl,Pn,ga));var z1=Za?Za.boxStartIndex:m.collisionBoxArray.length,O1=Za?Za.boxEndIndex:m.collisionBoxArray.length,e3=to?to.boxStartIndex:m.collisionBoxArray.length,m0=to?to.boxEndIndex:m.collisionBoxArray.length,n6=Ko?Ko.boxStartIndex:m.collisionBoxArray.length,yO=Ko?Ko.boxEndIndex:m.collisionBoxArray.length,a6=ao?ao.boxStartIndex:m.collisionBoxArray.length,_O=ao?ao.boxEndIndex:m.collisionBoxArray.length,Hp=-1,t3=function(CS,oee){return CS&&CS.circleDiameter?Math.max(CS.circleDiameter,oee):oee};Hp=t3(Za,Hp),Hp=t3(to,Hp),Hp=t3(Ko,Hp),Hp=t3(ao,Hp);var o6=Hp>-1?1:0;o6&&(Hp*=ha/Tn),m.glyphOffsetArray.length>=Pu.MAX_GLYPHS&&te(\"Too many glyphs being rendered in a tile. 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y=0,I=m.sections;y<I.length;y+=1){var U=I[y];if(Ii(U.text))return!0}return!1}var Kw=function(y){this.layoutVertexArray=new Bn,this.indexArray=new pn,this.programConfigurations=y,this.segments=new io,this.dynamicLayoutVertexArray=new hi,this.opacityVertexArray=new li,this.placedSymbolArray=new zo};Kw.prototype.isEmpty=function(){return this.layoutVertexArray.length===0&&this.indexArray.length===0&&this.dynamicLayoutVertexArray.length===0&&this.opacityVertexArray.length===0},Kw.prototype.upload=function(y,I,U,$){this.isEmpty()||(U&&(this.layoutVertexBuffer=y.createVertexBuffer(this.layoutVertexArray,re.members),this.indexBuffer=y.createIndexBuffer(this.indexArray,I),this.dynamicLayoutVertexBuffer=y.createVertexBuffer(this.dynamicLayoutVertexArray,fe.members,!0),this.opacityVertexBuffer=y.createVertexBuffer(this.opacityVertexArray,Bet,!0),this.opacityVertexBuffer.itemSize=1),(U||$)&&this.programConfigurations.upload(y))},Kw.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},X(\"SymbolBuffers\",Kw);var ES=function(y,I,U){this.layoutVertexArray=new y,this.layoutAttributes=I,this.indexArray=new U,this.segments=new io,this.collisionVertexArray=new Ni};ES.prototype.upload=function(y){this.layoutVertexBuffer=y.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=y.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=y.createVertexBuffer(this.collisionVertexArray,ze.members,!0)},ES.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},X(\"CollisionBuffers\",ES);var Pu=function(y){this.collisionBoxArray=y.collisionBoxArray,this.zoom=y.zoom,this.overscaling=y.overscaling,this.layers=y.layers,this.layerIds=this.layers.map(function(rt){return rt.id}),this.index=y.index,this.pixelRatio=y.pixelRatio,this.sourceLayerIndex=y.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=sy([]),this.placementViewportMatrix=sy([]);var I=this.layers[0],U=I._unevaluatedLayout._values;this.textSizeData=_p(this.zoom,U[\"text-size\"]),this.iconSizeData=_p(this.zoom,U[\"icon-size\"]);var $=this.layers[0].layout,ae=$.get(\"symbol-sort-key\"),he=$.get(\"symbol-z-order\");this.canOverlap=$.get(\"text-allow-overlap\")||$.get(\"icon-allow-overlap\")||$.get(\"text-ignore-placement\")||$.get(\"icon-ignore-placement\"),this.sortFeaturesByKey=he!==\"viewport-y\"&&ae.constantOr(1)!==void 0;var Oe=he===\"viewport-y\"||he===\"auto\"&&!this.sortFeaturesByKey;this.sortFeaturesByY=Oe&&this.canOverlap,$.get(\"symbol-placement\")===\"point\"&&(this.writingModes=$.get(\"text-writing-mode\").map(function(rt){return uv[rt]})),this.stateDependentLayerIds=this.layers.filter(function(rt){return rt.isStateDependent()}).map(function(rt){return rt.id}),this.sourceID=y.sourceID};Pu.prototype.createArrays=function(){this.text=new Kw(new fi(this.layers,this.zoom,function(y){return/^text/.test(y)})),this.icon=new Kw(new fi(this.layers,this.zoom,function(y){return/^icon/.test(y)})),this.glyphOffsetArray=new Vl,this.lineVertexArray=new ss,this.symbolInstances=new al},Pu.prototype.calculateGlyphDependencies=function(y,I,U,$,ae){for(var he=0;he<y.length;he++)if(I[y.charCodeAt(he)]=!0,(U||$)&&ae){var Oe=zi[y.charAt(he)];Oe&&(I[Oe.charCodeAt(0)]=!0)}},Pu.prototype.populate=function(y,I,U){var $=this.layers[0],ae=$.layout,he=ae.get(\"text-font\"),Oe=ae.get(\"text-field\"),rt=ae.get(\"icon-image\"),gt=(Oe.value.kind!==\"constant\"||Oe.value.value instanceof Jl&&!Oe.value.value.isEmpty()||Oe.value.value.toString().length>0)&&(he.value.kind!==\"constant\"||he.value.value.length>0),Et=rt.value.kind!==\"constant\"||!!rt.value.value||Object.keys(rt.parameters).length>0,or=ae.get(\"symbol-sort-key\");if(this.features=[],!(!gt&&!Et)){for(var _r=I.iconDependencies,pr=I.glyphDependencies,Fr=I.availableImages,oi=new Gn(this.zoom),Hi=0,Ai=y;Hi<Ai.length;Hi+=1){var bn=Ai[Hi],nn=bn.feature,xn=bn.id,Pn=bn.index,Zn=bn.sourceLayerIndex,ga=$._featureFilter.needGeometry,ha=Ja(nn,ga);if($._featureFilter.filter(oi,ha,U)){ga||(ha.geometry=zn(nn));var eo=void 0;if(gt){var za=$.getValueAndResolveTokens(\"text-field\",ha,U,Fr),Za=Jl.factory(za);Net(Za)&&(this.hasRTLText=!0),(!this.hasRTLText||yo()===\"unavailable\"||this.hasRTLText&&Ms.isParsed())&&(eo=yi(Za,$,ha))}var Ko=void 0;if(Et){var to=$.getValueAndResolveTokens(\"icon-image\",ha,U,Fr);to instanceof fl?Ko=to:Ko=fl.fromString(to)}if(!(!eo&&!Ko)){var ao=this.sortFeaturesByKey?or.evaluate(ha,{},U):void 0,_s={id:xn,text:eo,icon:Ko,index:Pn,sourceLayerIndex:Zn,geometry:ha.geometry,properties:nn.properties,type:qet[nn.type],sortKey:ao};if(this.features.push(_s),Ko&&(_r[Ko.name]=!0),eo){var jo=he.evaluate(ha,{},U).join(\",\"),El=ae.get(\"text-rotation-alignment\")===\"map\"&&ae.get(\"symbol-placement\")!==\"point\";this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(uv.vertical)>=0;for(var Iu=0,kl=eo.sections;Iu<kl.length;Iu+=1){var Cl=kl[Iu];if(Cl.image)_r[Cl.image.name]=!0;else{var yl=jt(eo.toString()),Qu=Cl.fontStack||jo,gc=pr[Qu]=pr[Qu]||{};this.calculateGlyphDependencies(Cl.text,gc,El,this.allowVerticalPlacement,yl)}}}}}}ae.get(\"symbol-placement\")===\"line\"&&(this.features=vn(this.features)),this.sortFeaturesByKey&&this.features.sort(function(Sf,Ff){return Sf.sortKey-Ff.sortKey})}},Pu.prototype.update=function(y,I,U){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(y,I,this.layers,U),this.icon.programConfigurations.updatePaintArrays(y,I,this.layers,U))},Pu.prototype.isEmpty=function(){return this.symbolInstances.length===0&&!this.hasRTLText},Pu.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},Pu.prototype.upload=function(y){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(y),this.iconCollisionBox.upload(y)),this.text.upload(y,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(y,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},Pu.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},Pu.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},Pu.prototype.addToLineVertexArray=function(y,I){var U=this.lineVertexArray.length;if(y.segment!==void 0){for(var $=y.dist(I[y.segment+1]),ae=y.dist(I[y.segment]),he={},Oe=y.segment+1;Oe<I.length;Oe++)he[Oe]={x:I[Oe].x,y:I[Oe].y,tileUnitDistanceFromAnchor:$},Oe<I.length-1&&($+=I[Oe+1].dist(I[Oe]));for(var rt=y.segment||0;rt>=0;rt--)he[rt]={x:I[rt].x,y:I[rt].y,tileUnitDistanceFromAnchor:ae},rt>0&&(ae+=I[rt-1].dist(I[rt]));for(var gt=0;gt<I.length;gt++){var Et=he[gt];this.lineVertexArray.emplaceBack(Et.x,Et.y,Et.tileUnitDistanceFromAnchor)}}return{lineStartIndex:U,lineLength:this.lineVertexArray.length-U}},Pu.prototype.addSymbols=function(y,I,U,$,ae,he,Oe,rt,gt,Et,or,_r){for(var pr=y.indexArray,Fr=y.layoutVertexArray,oi=y.segments.prepareSegment(4*I.length,Fr,pr,this.canOverlap?he.sortKey:void 0),Hi=this.glyphOffsetArray.length,Ai=oi.vertexLength,bn=this.allowVerticalPlacement&&Oe===uv.vertical?Math.PI/2:0,nn=he.text&&he.text.sections,xn=0;xn<I.length;xn++){var Pn=I[xn],Zn=Pn.tl,ga=Pn.tr,ha=Pn.bl,eo=Pn.br,za=Pn.tex,Za=Pn.pixelOffsetTL,Ko=Pn.pixelOffsetBR,to=Pn.minFontScaleX,ao=Pn.minFontScaleY,_s=Pn.glyphOffset,jo=Pn.isSDF,El=Pn.sectionIndex,Iu=oi.vertexLength,kl=_s[1];e6(Fr,rt.x,rt.y,Zn.x,kl+Zn.y,za.x,za.y,U,jo,Za.x,Za.y,to,ao),e6(Fr,rt.x,rt.y,ga.x,kl+ga.y,za.x+za.w,za.y,U,jo,Ko.x,Za.y,to,ao),e6(Fr,rt.x,rt.y,ha.x,kl+ha.y,za.x,za.y+za.h,U,jo,Za.x,Ko.y,to,ao),e6(Fr,rt.x,rt.y,eo.x,kl+eo.y,za.x+za.w,za.y+za.h,U,jo,Ko.x,Ko.y,to,ao),dO(y.dynamicLayoutVertexArray,rt,bn),pr.emplaceBack(Iu,Iu+1,Iu+2),pr.emplaceBack(Iu+1,Iu+2,Iu+3),oi.vertexLength+=4,oi.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(_s[0]),(xn===I.length-1||El!==I[xn+1].sectionIndex)&&y.programConfigurations.populatePaintArrays(Fr.length,he,he.index,{},_r,nn&&nn[El])}y.placedSymbolArray.emplaceBack(rt.x,rt.y,Hi,this.glyphOffsetArray.length-Hi,Ai,gt,Et,rt.segment,U?U[0]:0,U?U[1]:0,$[0],$[1],Oe,0,!1,0,or)},Pu.prototype._addCollisionDebugVertex=function(y,I,U,$,ae,he){return I.emplaceBack(0,0),y.emplaceBack(U.x,U.y,$,ae,Math.round(he.x),Math.round(he.y))},Pu.prototype.addCollisionDebugVertices=function(y,I,U,$,ae,he,Oe){var rt=ae.segments.prepareSegment(4,ae.layoutVertexArray,ae.indexArray),gt=rt.vertexLength,Et=ae.layoutVertexArray,or=ae.collisionVertexArray,_r=Oe.anchorX,pr=Oe.anchorY;this._addCollisionDebugVertex(Et,or,he,_r,pr,new u(y,I)),this._addCollisionDebugVertex(Et,or,he,_r,pr,new u(U,I)),this._addCollisionDebugVertex(Et,or,he,_r,pr,new u(U,$)),this._addCollisionDebugVertex(Et,or,he,_r,pr,new u(y,$)),rt.vertexLength+=4;var Fr=ae.indexArray;Fr.emplaceBack(gt,gt+1),Fr.emplaceBack(gt+1,gt+2),Fr.emplaceBack(gt+2,gt+3),Fr.emplaceBack(gt+3,gt),rt.primitiveLength+=4},Pu.prototype.addDebugCollisionBoxes=function(y,I,U,$){for(var ae=y;ae<I;ae++){var he=this.collisionBoxArray.get(ae),Oe=he.x1,rt=he.y1,gt=he.x2,Et=he.y2;this.addCollisionDebugVertices(Oe,rt,gt,Et,$?this.textCollisionBox:this.iconCollisionBox,he.anchorPoint,U)}},Pu.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new ES(Ji,ct.members,oa),this.iconCollisionBox=new ES(Ji,ct.members,oa);for(var y=0;y<this.symbolInstances.length;y++){var I=this.symbolInstances.get(y);this.addDebugCollisionBoxes(I.textBoxStartIndex,I.textBoxEndIndex,I,!0),this.addDebugCollisionBoxes(I.verticalTextBoxStartIndex,I.verticalTextBoxEndIndex,I,!0),this.addDebugCollisionBoxes(I.iconBoxStartIndex,I.iconBoxEndIndex,I,!1),this.addDebugCollisionBoxes(I.verticalIconBoxStartIndex,I.verticalIconBoxEndIndex,I,!1)}},Pu.prototype._deserializeCollisionBoxesForSymbol=function(y,I,U,$,ae,he,Oe,rt,gt){for(var Et={},or=I;or<U;or++){var _r=y.get(or);Et.textBox={x1:_r.x1,y1:_r.y1,x2:_r.x2,y2:_r.y2,anchorPointX:_r.anchorPointX,anchorPointY:_r.anchorPointY},Et.textFeatureIndex=_r.featureIndex;break}for(var pr=$;pr<ae;pr++){var Fr=y.get(pr);Et.verticalTextBox={x1:Fr.x1,y1:Fr.y1,x2:Fr.x2,y2:Fr.y2,anchorPointX:Fr.anchorPointX,anchorPointY:Fr.anchorPointY},Et.verticalTextFeatureIndex=Fr.featureIndex;break}for(var oi=he;oi<Oe;oi++){var Hi=y.get(oi);Et.iconBox={x1:Hi.x1,y1:Hi.y1,x2:Hi.x2,y2:Hi.y2,anchorPointX:Hi.anchorPointX,anchorPointY:Hi.anchorPointY},Et.iconFeatureIndex=Hi.featureIndex;break}for(var Ai=rt;Ai<gt;Ai++){var bn=y.get(Ai);Et.verticalIconBox={x1:bn.x1,y1:bn.y1,x2:bn.x2,y2:bn.y2,anchorPointX:bn.anchorPointX,anchorPointY:bn.anchorPointY},Et.verticalIconFeatureIndex=bn.featureIndex;break}return Et},Pu.prototype.deserializeCollisionBoxes=function(y){this.collisionArrays=[];for(var I=0;I<this.symbolInstances.length;I++){var U=this.symbolInstances.get(I);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(y,U.textBoxStartIndex,U.textBoxEndIndex,U.verticalTextBoxStartIndex,U.verticalTextBoxEndIndex,U.iconBoxStartIndex,U.iconBoxEndIndex,U.verticalIconBoxStartIndex,U.verticalIconBoxEndIndex))}},Pu.prototype.hasTextData=function(){return this.text.segments.get().length>0},Pu.prototype.hasIconData=function(){return this.icon.segments.get().length>0},Pu.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},Pu.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},Pu.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},Pu.prototype.addIndicesForPlacedSymbol=function(y,I){for(var U=y.placedSymbolArray.get(I),$=U.vertexStartIndex+U.numGlyphs*4,ae=U.vertexStartIndex;ae<$;ae+=4)y.indexArray.emplaceBack(ae,ae+1,ae+2),y.indexArray.emplaceBack(ae+1,ae+2,ae+3)},Pu.prototype.getSortedSymbolIndexes=function(y){if(this.sortedAngle===y&&this.symbolInstanceIndexes!==void 0)return this.symbolInstanceIndexes;for(var I=Math.sin(y),U=Math.cos(y),$=[],ae=[],he=[],Oe=0;Oe<this.symbolInstances.length;++Oe){he.push(Oe);var rt=this.symbolInstances.get(Oe);$.push(Math.round(I*rt.anchorX+U*rt.anchorY)|0),ae.push(rt.featureIndex)}return he.sort(function(gt,Et){return $[gt]-$[Et]||ae[Et]-ae[gt]}),he},Pu.prototype.addToSortKeyRanges=function(y,I){var U=this.sortKeyRanges[this.sortKeyRanges.length-1];U&&U.sortKey===I?U.symbolInstanceEnd=y+1:this.sortKeyRanges.push({sortKey:I,symbolInstanceStart:y,symbolInstanceEnd:y+1})},Pu.prototype.sortFeatures=function(y){var I=this;if(this.sortFeaturesByY&&this.sortedAngle!==y&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(y),this.sortedAngle=y,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var U=0,$=this.symbolInstanceIndexes;U<$.length;U+=1){var ae=$[U],he=this.symbolInstances.get(ae);this.featureSortOrder.push(he.featureIndex),[he.rightJustifiedTextSymbolIndex,he.centerJustifiedTextSymbolIndex,he.leftJustifiedTextSymbolIndex].forEach(function(Oe,rt,gt){Oe>=0&&gt.indexOf(Oe)===rt&&I.addIndicesForPlacedSymbol(I.text,Oe)}),he.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,he.verticalPlacedTextSymbolIndex),he.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,he.placedIconSymbolIndex),he.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,he.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},X(\"SymbolBucket\",Pu,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),Pu.MAX_GLYPHS=65535,Pu.addDynamicAttributes=dO;function Uet(m,y){return y.replace(/{([^{}]+)}/g,function(I,U){return U in m?String(m[U]):\"\"})}var Vet=new Nr({\"symbol-placement\":new Me(Rn.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new Me(Rn.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new Me(Rn.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new bt(Rn.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new Me(Rn.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new Me(Rn.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new Me(Rn.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new Me(Rn.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new Me(Rn.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new bt(Rn.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new Me(Rn.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new Me(Rn.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new bt(Rn.layout_symbol[\"icon-image\"]),\"icon-rotate\":new bt(Rn.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new Me(Rn.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new Me(Rn.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new bt(Rn.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new bt(Rn.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new Me(Rn.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new Me(Rn.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new Me(Rn.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new bt(Rn.layout_symbol[\"text-field\"]),\"text-font\":new bt(Rn.layout_symbol[\"text-font\"]),\"text-size\":new bt(Rn.layout_symbol[\"text-size\"]),\"text-max-width\":new bt(Rn.layout_symbol[\"text-max-width\"]),\"text-line-height\":new Me(Rn.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new bt(Rn.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new bt(Rn.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new bt(Rn.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new Me(Rn.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new bt(Rn.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new Me(Rn.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new Me(Rn.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new bt(Rn.layout_symbol[\"text-rotate\"]),\"text-padding\":new Me(Rn.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new Me(Rn.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new bt(Rn.layout_symbol[\"text-transform\"]),\"text-offset\":new bt(Rn.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new Me(Rn.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new Me(Rn.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new Me(Rn.layout_symbol[\"text-optional\"])}),Get=new Nr({\"icon-opacity\":new bt(Rn.paint_symbol[\"icon-opacity\"]),\"icon-color\":new bt(Rn.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new bt(Rn.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new bt(Rn.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new bt(Rn.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new Me(Rn.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new Me(Rn.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new bt(Rn.paint_symbol[\"text-opacity\"]),\"text-color\":new bt(Rn.paint_symbol[\"text-color\"],{runtimeType:ql,getOverride:function(m){return m.textColor},hasOverride:function(m){return!!m.textColor}}),\"text-halo-color\":new bt(Rn.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new bt(Rn.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new bt(Rn.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new Me(Rn.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new Me(Rn.paint_symbol[\"text-translate-anchor\"])}),vO={paint:Get,layout:Vet},Jw=function(y){this.type=y.property.overrides?y.property.overrides.runtimeType:ac,this.defaultValue=y};Jw.prototype.evaluate=function(y){if(y.formattedSection){var I=this.defaultValue.property.overrides;if(I&&I.hasOverride(y.formattedSection))return I.getOverride(y.formattedSection)}return y.feature&&y.featureState?this.defaultValue.evaluate(y.feature,y.featureState):this.defaultValue.property.specification.default},Jw.prototype.eachChild=function(y){if(!this.defaultValue.isConstant()){var I=this.defaultValue.value;y(I._styleExpression.expression)}},Jw.prototype.outputDefined=function(){return!1},Jw.prototype.serialize=function(){return null},X(\"FormatSectionOverride\",Jw,{omit:[\"defaultValue\"]});var Het=function(m){function y(I){m.call(this,I,vO)}return m&&(y.__proto__=m),y.prototype=Object.create(m&&m.prototype),y.prototype.constructor=y,y.prototype.recalculate=function(U,$){if(m.prototype.recalculate.call(this,U,$),this.layout.get(\"icon-rotation-alignment\")===\"auto\"&&(this.layout.get(\"symbol-placement\")!==\"point\"?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),this.layout.get(\"text-rotation-alignment\")===\"auto\"&&(this.layout.get(\"symbol-placement\")!==\"point\"?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),this.layout.get(\"text-pitch-alignment\")===\"auto\"&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),this.layout.get(\"icon-pitch-alignment\")===\"auto\"&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),this.layout.get(\"symbol-placement\")===\"point\"){var ae=this.layout.get(\"text-writing-mode\");if(ae){for(var he=[],Oe=0,rt=ae;Oe<rt.length;Oe+=1){var gt=rt[Oe];he.indexOf(gt)<0&&he.push(gt)}this.layout._values[\"text-writing-mode\"]=he}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},y.prototype.getValueAndResolveTokens=function(U,$,ae,he){var Oe=this.layout.get(U).evaluate($,{},ae,he),rt=this._unevaluatedLayout._values[U];return!rt.isDataDriven()&&!Ua(rt.value)&&Oe?Uet($.properties,Oe):Oe},y.prototype.createBucket=function(U){return new Pu(U)},y.prototype.queryRadius=function(){return 0},y.prototype.queryIntersectsFeature=function(){return!1},y.prototype._setPaintOverrides=function(){for(var U=0,$=vO.paint.overridableProperties;U<$.length;U+=1){var ae=$[U];if(y.hasPaintOverride(this.layout,ae)){var he=this.paint.get(ae),Oe=new Jw(he),rt=new Ac(Oe,he.property.specification),gt=null;he.value.kind===\"constant\"||he.value.kind===\"source\"?gt=new Vc(\"source\",rt):gt=new hc(\"composite\",rt,he.value.zoomStops,he.value._interpolationType),this.paint._values[ae]=new dl(he.property,gt,he.parameters)}}},y.prototype._handleOverridablePaintPropertyUpdate=function(U,$,ae){return!this.layout||$.isDataDriven()||ae.isDataDriven()?!1:y.hasPaintOverride(this.layout,U)},y.hasPaintOverride=function(U,$){var ae=U.get(\"text-field\"),he=vO.paint.properties[$],Oe=!1,rt=function(or){for(var _r=0,pr=or;_r<pr.length;_r+=1){var Fr=pr[_r];if(he.overrides&&he.overrides.hasOverride(Fr)){Oe=!0;return}}};if(ae.value.kind===\"constant\"&&ae.value.value instanceof Jl)rt(ae.value.value.sections);else if(ae.value.kind===\"source\"){var gt=function(or){if(!Oe)if(or instanceof Go&&Es(or.value)===pl){var _r=or.value;rt(_r.sections)}else or instanceof Gu?rt(or.sections):or.eachChild(gt)},Et=ae.value;Et._styleExpression&&gt(Et._styleExpression.expression)}return Oe},y}(mi),jet=new Nr({\"background-color\":new Me(Rn.paint_background[\"background-color\"]),\"background-pattern\":new Rr(Rn.paint_background[\"background-pattern\"]),\"background-opacity\":new Me(Rn.paint_background[\"background-opacity\"])}),Wet={paint:jet},Xet=function(m){function y(I){m.call(this,I,Wet)}return m&&(y.__proto__=m),y.prototype=Object.create(m&&m.prototype),y.prototype.constructor=y,y}(mi),Zet=new Nr({\"raster-opacity\":new Me(Rn.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new Me(Rn.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new Me(Rn.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new Me(Rn.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new Me(Rn.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new Me(Rn.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new Me(Rn.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new Me(Rn.paint_raster[\"raster-fade-duration\"])}),Yet={paint:Zet},Ket=function(m){function y(I){m.call(this,I,Yet)}return m&&(y.__proto__=m),y.prototype=Object.create(m&&m.prototype),y.prototype.constructor=y,y}(mi);function Jet(m){var y=[],I=m.id;return I===void 0&&y.push({message:\"layers.\"+I+': missing required property \"id\"'}),m.render===void 0&&y.push({message:\"layers.\"+I+': missing required method \"render\"'}),m.renderingMode&&m.renderingMode!==\"2d\"&&m.renderingMode!==\"3d\"&&y.push({message:\"layers.\"+I+': property \"renderingMode\" must be either \"2d\" or \"3d\"'}),y}var $et=function(m){function y(I){m.call(this,I,{}),this.implementation=I}return m&&(y.__proto__=m),y.prototype=Object.create(m&&m.prototype),y.prototype.constructor=y,y.prototype.is3D=function(){return this.implementation.renderingMode===\"3d\"},y.prototype.hasOffscreenPass=function(){return this.implementation.prerender!==void 0},y.prototype.recalculate=function(){},y.prototype.updateTransitions=function(){},y.prototype.hasTransition=function(){},y.prototype.serialize=function(){},y.prototype.onAdd=function(U){this.implementation.onAdd&&this.implementation.onAdd(U,U.painter.context.gl)},y.prototype.onRemove=function(U){this.implementation.onRemove&&this.implementation.onRemove(U,U.painter.context.gl)},y}(mi),Qet={circle:j9,heatmap:Iw,hillshade:xC,fill:Qx,\"fill-extrusion\":hm,line:A,symbol:Het,background:Xet,raster:Ket};function ett(m){return m.type===\"custom\"?new $et(m):new Qet[m.type](m)}var jQ=f.HTMLImageElement,WQ=f.HTMLCanvasElement,XQ=f.HTMLVideoElement,ZQ=f.ImageData,t6=f.ImageBitmap,ib=function(y,I,U,$){this.context=y,this.format=U,this.texture=y.gl.createTexture(),this.update(I,$)};ib.prototype.update=function(y,I,U){var $=y.width,ae=y.height,he=(!this.size||this.size[0]!==$||this.size[1]!==ae)&&!U,Oe=this,rt=Oe.context,gt=rt.gl;if(this.useMipmap=!!(I&&I.useMipmap),gt.bindTexture(gt.TEXTURE_2D,this.texture),rt.pixelStoreUnpackFlipY.set(!1),rt.pixelStoreUnpack.set(1),rt.pixelStoreUnpackPremultiplyAlpha.set(this.format===gt.RGBA&&(!I||I.premultiply!==!1)),he)this.size=[$,ae],y instanceof jQ||y instanceof WQ||y instanceof XQ||y instanceof ZQ||t6&&y instanceof t6?gt.texImage2D(gt.TEXTURE_2D,0,this.format,this.format,gt.UNSIGNED_BYTE,y):gt.texImage2D(gt.TEXTURE_2D,0,this.format,$,ae,0,this.format,gt.UNSIGNED_BYTE,y.data);else{var Et=U||{x:0,y:0},or=Et.x,_r=Et.y;y instanceof jQ||y instanceof WQ||y instanceof XQ||y instanceof ZQ||t6&&y instanceof t6?gt.texSubImage2D(gt.TEXTURE_2D,0,or,_r,gt.RGBA,gt.UNSIGNED_BYTE,y):gt.texSubImage2D(gt.TEXTURE_2D,0,or,_r,$,ae,gt.RGBA,gt.UNSIGNED_BYTE,y.data)}this.useMipmap&&this.isSizePowerOfTwo()&&gt.generateMipmap(gt.TEXTURE_2D)},ib.prototype.bind=function(y,I,U){var $=this,ae=$.context,he=ae.gl;he.bindTexture(he.TEXTURE_2D,this.texture),U===he.LINEAR_MIPMAP_NEAREST&&!this.isSizePowerOfTwo()&&(U=he.LINEAR),y!==this.filter&&(he.texParameteri(he.TEXTURE_2D,he.TEXTURE_MAG_FILTER,y),he.texParameteri(he.TEXTURE_2D,he.TEXTURE_MIN_FILTER,U||y),this.filter=y),I!==this.wrap&&(he.texParameteri(he.TEXTURE_2D,he.TEXTURE_WRAP_S,I),he.texParameteri(he.TEXTURE_2D,he.TEXTURE_WRAP_T,I),this.wrap=I)},ib.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1===0},ib.prototype.destroy=function(){var y=this.context,I=y.gl;I.deleteTexture(this.texture),this.texture=null};var pO=function(y){var I=this;this._callback=y,this._triggered=!1,typeof MessageChannel!=\"undefined\"&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){I._triggered=!1,I._callback()})};pO.prototype.trigger=function(){var y=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout(function(){y._triggered=!1,y._callback()},0))},pO.prototype.remove=function(){delete this._channel,this._callback=function(){}};var $w=function(y,I,U){this.target=y,this.parent=I,this.mapId=U,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},O([\"receive\",\"process\"],this),this.invoker=new pO(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=Ce()?y:f};$w.prototype.send=function(y,I,U,$,ae){var he=this;ae===void 0&&(ae=!1);var Oe=Math.round(Math.random()*1e18).toString(36).substring(0,10);U&&(this.callbacks[Oe]=U);var rt=Se(this.globalScope)?void 0:[];return this.target.postMessage({id:Oe,type:y,hasCallback:!!U,targetMapId:$,mustQueue:ae,sourceMapId:this.mapId,data:He(I,rt)},rt),{cancel:function(){U&&delete he.callbacks[Oe],he.target.postMessage({id:Oe,type:\"<cancel>\",targetMapId:$,sourceMapId:he.mapId})}}},$w.prototype.receive=function(y){var I=y.data,U=I.id;if(U&&!(I.targetMapId&&this.mapId!==I.targetMapId))if(I.type===\"<cancel>\"){delete this.tasks[U];var $=this.cancelCallbacks[U];delete this.cancelCallbacks[U],$&&$()}else Ce()||I.mustQueue?(this.tasks[U]=I,this.taskQueue.push(U),this.invoker.trigger()):this.processTask(U,I)},$w.prototype.process=function(){if(this.taskQueue.length){var y=this.taskQueue.shift(),I=this.tasks[y];delete this.tasks[y],this.taskQueue.length&&this.invoker.trigger(),I&&this.processTask(y,I)}},$w.prototype.processTask=function(y,I){var U=this;if(I.type===\"<response>\"){var $=this.callbacks[y];delete this.callbacks[y],$&&(I.error?$(Ye(I.error)):$(null,Ye(I.data)))}else{var ae=!1,he=Se(this.globalScope)?void 0:[],Oe=I.hasCallback?function(_r,pr){ae=!0,delete U.cancelCallbacks[y],U.target.postMessage({id:y,type:\"<response>\",sourceMapId:U.mapId,error:_r?He(_r):null,data:He(pr,he)},he)}:function(_r){ae=!0},rt=null,gt=Ye(I.data);if(this.parent[I.type])rt=this.parent[I.type](I.sourceMapId,gt,Oe);else if(this.parent.getWorkerSource){var Et=I.type.split(\".\"),or=this.parent.getWorkerSource(I.sourceMapId,Et[0],gt.source);rt=or[Et[1]](gt,Oe)}else Oe(new Error(\"Could not find function \"+I.type));!ae&&rt&&rt.cancel&&(this.cancelCallbacks[y]=rt.cancel)}},$w.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};function ttt(m,y,I){y=Math.pow(2,I)-y-1;var U=YQ(m*256,y*256,I),$=YQ((m+1)*256,(y+1)*256,I);return U[0]+\",\"+U[1]+\",\"+$[0]+\",\"+$[1]}function YQ(m,y,I){var U=2*Math.PI*6378137/256/Math.pow(2,I),$=m*U-2*Math.PI*6378137/2,ae=y*U-2*Math.PI*6378137/2;return[$,ae]}var lh=function(y,I){y&&(I?this.setSouthWest(y).setNorthEast(I):y.length===4?this.setSouthWest([y[0],y[1]]).setNorthEast([y[2],y[3]]):this.setSouthWest(y[0]).setNorthEast(y[1]))};lh.prototype.setNorthEast=function(y){return this._ne=y instanceof Hc?new Hc(y.lng,y.lat):Hc.convert(y),this},lh.prototype.setSouthWest=function(y){return this._sw=y instanceof Hc?new Hc(y.lng,y.lat):Hc.convert(y),this},lh.prototype.extend=function(y){var I=this._sw,U=this._ne,$,ae;if(y instanceof Hc)$=y,ae=y;else if(y instanceof lh){if($=y._sw,ae=y._ne,!$||!ae)return this}else{if(Array.isArray(y))if(y.length===4||y.every(Array.isArray)){var he=y;return this.extend(lh.convert(he))}else{var Oe=y;return this.extend(Hc.convert(Oe))}return this}return!I&&!U?(this._sw=new Hc($.lng,$.lat),this._ne=new Hc(ae.lng,ae.lat)):(I.lng=Math.min($.lng,I.lng),I.lat=Math.min($.lat,I.lat),U.lng=Math.max(ae.lng,U.lng),U.lat=Math.max(ae.lat,U.lat)),this},lh.prototype.getCenter=function(){return new Hc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},lh.prototype.getSouthWest=function(){return this._sw},lh.prototype.getNorthEast=function(){return this._ne},lh.prototype.getNorthWest=function(){return new Hc(this.getWest(),this.getNorth())},lh.prototype.getSouthEast=function(){return new Hc(this.getEast(),this.getSouth())},lh.prototype.getWest=function(){return this._sw.lng},lh.prototype.getSouth=function(){return this._sw.lat},lh.prototype.getEast=function(){return this._ne.lng},lh.prototype.getNorth=function(){return this._ne.lat},lh.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},lh.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},lh.prototype.isEmpty=function(){return!(this._sw&&this._ne)},lh.prototype.contains=function(y){var I=Hc.convert(y),U=I.lng,$=I.lat,ae=this._sw.lat<=$&&$<=this._ne.lat,he=this._sw.lng<=U&&U<=this._ne.lng;return this._sw.lng>this._ne.lng&&(he=this._sw.lng>=U&&U>=this._ne.lng),ae&&he},lh.convert=function(y){return!y||y instanceof lh?y:new lh(y)};var KQ=63710088e-1,Hc=function(y,I){if(isNaN(y)||isNaN(I))throw new Error(\"Invalid LngLat object: (\"+y+\", \"+I+\")\");if(this.lng=+y,this.lat=+I,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};Hc.prototype.wrap=function(){return new Hc(k(this.lng,-180,180),this.lat)},Hc.prototype.toArray=function(){return[this.lng,this.lat]},Hc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Hc.prototype.distanceTo=function(y){var I=Math.PI/180,U=this.lat*I,$=y.lat*I,ae=Math.sin(U)*Math.sin($)+Math.cos(U)*Math.cos($)*Math.cos((y.lng-this.lng)*I),he=KQ*Math.acos(Math.min(ae,1));return he},Hc.prototype.toBounds=function(y){y===void 0&&(y=0);var I=40075017,U=360*y/I,$=U/Math.cos(Math.PI/180*this.lat);return new lh(new Hc(this.lng-$,this.lat-U),new Hc(this.lng+$,this.lat+U))},Hc.convert=function(y){if(y instanceof Hc)return y;if(Array.isArray(y)&&(y.length===2||y.length===3))return new Hc(Number(y[0]),Number(y[1]));if(!Array.isArray(y)&&typeof y==\"object\"&&y!==null)return new Hc(Number(\"lng\"in y?y.lng:y.lon),Number(y.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 JQ=2*Math.PI*KQ;function $Q(m){return JQ*Math.cos(m*Math.PI/180)}function QQ(m){return(180+m)/360}function eee(m){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+m*Math.PI/360)))/360}function tee(m,y){return m/$Q(y)}function rtt(m){return m*360-180}function gO(m){var y=180-m*360;return 360/Math.PI*Math.atan(Math.exp(y*Math.PI/180))-90}function itt(m,y){return m*$Q(gO(y))}function ntt(m){return 1/Math.cos(m*Math.PI/180)}var nb=function(y,I,U){U===void 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u((y.x*I-this.x)*Ci,(y.y*I-this.y)*Ci)},ab.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var ree=function(y,I){this.wrap=y,this.canonical=I,this.key=kS(y,I.z,I.z,I.x,I.y)},uh=function(y,I,U,$,ae){this.overscaledZ=y,this.wrap=I,this.canonical=new ab(U,+$,+ae),this.key=kS(I,y,U,$,ae)};uh.prototype.equals=function(y){return this.overscaledZ===y.overscaledZ&&this.wrap===y.wrap&&this.canonical.equals(y.canonical)},uh.prototype.scaledTo=function(y){var I=this.canonical.z-y;return y>this.canonical.z?new uh(y,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new uh(y,this.wrap,y,this.canonical.x>>I,this.canonical.y>>I)},uh.prototype.calculateScaledKey=function(y,I){var U=this.canonical.z-y;return y>this.canonical.z?kS(this.wrap*+I,y,this.canonical.z,this.canonical.x,this.canonical.y):kS(this.wrap*+I,y,y,this.canonical.x>>U,this.canonical.y>>U)},uh.prototype.isChildOf=function(y){if(y.wrap!==this.wrap)return!1;var I=this.canonical.z-y.canonical.z;return y.overscaledZ===0||y.overscaledZ<this.overscaledZ&&y.canonical.x===this.canonical.x>>I&&y.canonical.y===this.canonical.y>>I},uh.prototype.children=function(y){if(this.overscaledZ>=y)return[new uh(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var I=this.canonical.z+1,U=this.canonical.x*2,$=this.canonical.y*2;return[new uh(I,this.wrap,I,U,$),new uh(I,this.wrap,I,U+1,$),new uh(I,this.wrap,I,U,$+1),new uh(I,this.wrap,I,U+1,$+1)]},uh.prototype.isLessThan=function(y){return this.wrap<y.wrap?!0:this.wrap>y.wrap?!1:this.overscaledZ<y.overscaledZ?!0:this.overscaledZ>y.overscaledZ?!1:this.canonical.x<y.canonical.x?!0:this.canonical.x>y.canonical.x?!1:this.canonical.y<y.canonical.y},uh.prototype.wrapped=function(){return new uh(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},uh.prototype.unwrapTo=function(y){return new uh(this.overscaledZ,y,this.canonical.z,this.canonical.x,this.canonical.y)},uh.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},uh.prototype.toUnwrapped=function(){return new ree(this.wrap,this.canonical)},uh.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},uh.prototype.getTilePoint=function(y){return this.canonical.getTilePoint(new nb(y.x-this.wrap,y.y))};function kS(m,y,I,U,$){m*=2,m<0&&(m=m*-1-1);var ae=1<<I;return(ae*ae*m+ae*$+U).toString(36)+I.toString(36)+y.toString(36)}function att(m,y,I){for(var U=\"\",$,ae=m;ae>0;ae--)$=1<<ae-1,U+=(y&$?1:0)+(I&$?2:0);return U}X(\"CanonicalTileID\",ab),X(\"OverscaledTileID\",uh,{omit:[\"posMatrix\"]});var vy=function(y,I,U){if(this.uid=y,I.height!==I.width)throw new RangeError(\"DEM tiles must be square\");if(U&&U!==\"mapbox\"&&U!==\"terrarium\")return te('\"'+U+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=I.height;var $=this.dim=I.height-2;this.data=new Uint32Array(I.data.buffer),this.encoding=U||\"mapbox\";for(var ae=0;ae<$;ae++)this.data[this._idx(-1,ae)]=this.data[this._idx(0,ae)],this.data[this._idx($,ae)]=this.data[this._idx($-1,ae)],this.data[this._idx(ae,-1)]=this.data[this._idx(ae,0)],this.data[this._idx(ae,$)]=this.data[this._idx(ae,$-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx($,-1)]=this.data[this._idx($-1,0)],this.data[this._idx(-1,$)]=this.data[this._idx(0,$-1)],this.data[this._idx($,$)]=this.data[this._idx($-1,$-1)]};vy.prototype.get=function(y,I){var U=new Uint8Array(this.data.buffer),$=this._idx(y,I)*4,ae=this.encoding===\"terrarium\"?this._unpackTerrarium:this._unpackMapbox;return ae(U[$],U[$+1],U[$+2])},vy.prototype.getUnpackVector=function(){return this.encoding===\"terrarium\"?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},vy.prototype._idx=function(y,I){if(y<-1||y>=this.dim+1||I<-1||I>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(I+1)*this.stride+(y+1)},vy.prototype._unpackMapbox=function(y,I,U){return(y*256*256+I*256+U)/10-1e4},vy.prototype._unpackTerrarium=function(y,I,U){return y*256+I+U/256-32768},vy.prototype.getPixels=function(){return new Sh({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},vy.prototype.backfillBorder=function(y,I,U){if(this.dim!==y.dim)throw new Error(\"dem dimension mismatch\");var $=I*this.dim,ae=I*this.dim+this.dim,he=U*this.dim,Oe=U*this.dim+this.dim;switch(I){case-1:$=ae-1;break;case 1:ae=$+1;break}switch(U){case-1:he=Oe-1;break;case 1:Oe=he+1;break}for(var rt=-I*this.dim,gt=-U*this.dim,Et=he;Et<Oe;Et++)for(var or=$;or<ae;or++)this.data[this._idx(or,Et)]=y.data[this._idx(or+rt,Et+gt)]},X(\"DEMData\",vy);function ott(m,y){var I={};if(!y)return I;for(var U=function(){var he=ae[$],Oe=he.layerIds.map(function(or){return y.getLayer(or)}).filter(Boolean);if(Oe.length!==0){he.layers=Oe,he.stateDependentLayerIds&&(he.stateDependentLayers=he.stateDependentLayerIds.map(function(or){return Oe.filter(function(_r){return _r.id===or})[0]}));for(var rt=0,gt=Oe;rt<gt.length;rt+=1){var Et=gt[rt];I[Et.id]=he}}},$=0,ae=m;$<ae.length;$+=1)U();return I}var r6=function(y){this._stringToNumber={},this._numberToString=[];for(var I=0;I<y.length;I++){var U=y[I];this._stringToNumber[U]=I,this._numberToString[I]=U}};r6.prototype.encode=function(y){return this._stringToNumber[y]},r6.prototype.decode=function(y){return this._numberToString[y]};var i6=function(y,I,U,$,ae){this.type=\"Feature\",this._vectorTileFeature=y,y._z=I,y._x=U,y._y=$,this.properties=y.properties,this.id=ae},mO={geometry:{configurable:!0}};mO.geometry.get=function(){return this._geometry===void 0&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},mO.geometry.set=function(m){this._geometry=m},i6.prototype.toJSON=function(){var y={geometry:this.geometry};for(var I in this)I===\"_geometry\"||I===\"_vectorTileFeature\"||(y[I]=this[I]);return y},Object.defineProperties(i6.prototype,mO);var Qw=function(){this.state={},this.stateChanges={},this.deletedStates={}};Qw.prototype.updateState=function(y,I,U){var $=String(I);if(this.stateChanges[y]=this.stateChanges[y]||{},this.stateChanges[y][$]=this.stateChanges[y][$]||{},x(this.stateChanges[y][$],U),this.deletedStates[y]===null){this.deletedStates[y]={};for(var ae in this.state[y])ae!==$&&(this.deletedStates[y][ae]=null)}else{var he=this.deletedStates[y]&&this.deletedStates[y][$]===null;if(he){this.deletedStates[y][$]={};for(var Oe in this.state[y][$])U[Oe]||(this.deletedStates[y][$][Oe]=null)}else for(var rt in U){var gt=this.deletedStates[y]&&this.deletedStates[y][$]&&this.deletedStates[y][$][rt]===null;gt&&delete this.deletedStates[y][$][rt]}}},Qw.prototype.removeFeatureState=function(y,I,U){var $=this.deletedStates[y]===null;if(!$){var ae=String(I);if(this.deletedStates[y]=this.deletedStates[y]||{},U&&I!==void 0)this.deletedStates[y][ae]!==null&&(this.deletedStates[y][ae]=this.deletedStates[y][ae]||{},this.deletedStates[y][ae][U]=null);else if(I!==void 0){var he=this.stateChanges[y]&&this.stateChanges[y][ae];if(he){this.deletedStates[y][ae]={};for(U in this.stateChanges[y][ae])this.deletedStates[y][ae][U]=null}else this.deletedStates[y][ae]=null}else this.deletedStates[y]=null}},Qw.prototype.getState=function(y,I){var U=String(I),$=this.state[y]||{},ae=this.stateChanges[y]||{},he=x({},$[U],ae[U]);if(this.deletedStates[y]===null)return{};if(this.deletedStates[y]){var Oe=this.deletedStates[y][I];if(Oe===null)return{};for(var rt in Oe)delete he[rt]}return he},Qw.prototype.initializeTileState=function(y,I){y.setFeatureState(this.state,I)},Qw.prototype.coalesceChanges=function(y,I){var U={};for(var $ in this.stateChanges){this.state[$]=this.state[$]||{};var ae={};for(var he in this.stateChanges[$])this.state[$][he]||(this.state[$][he]={}),x(this.state[$][he],this.stateChanges[$][he]),ae[he]=this.state[$][he];U[$]=ae}for(var Oe in this.deletedStates){this.state[Oe]=this.state[Oe]||{};var rt={};if(this.deletedStates[Oe]===null)for(var gt in this.state[Oe])rt[gt]={},this.state[Oe][gt]={};else for(var Et in this.deletedStates[Oe]){var or=this.deletedStates[Oe][Et]===null;if(or)this.state[Oe][Et]={};else for(var _r=0,pr=Object.keys(this.deletedStates[Oe][Et]);_r<pr.length;_r+=1){var Fr=pr[_r];delete this.state[Oe][Et][Fr]}rt[Et]=this.state[Oe][Et]}U[Oe]=U[Oe]||{},x(U[Oe],rt)}if(this.stateChanges={},this.deletedStates={},Object.keys(U).length!==0)for(var oi in y){var Hi=y[oi];Hi.setFeatureState(U,I)}};var py=function(y,I){this.tileID=y,this.x=y.canonical.x,this.y=y.canonical.y,this.z=y.canonical.z,this.grid=new au(Ci,16,0),this.grid3D=new au(Ci,16,0),this.featureIndexArray=new Ys,this.promoteId=I};py.prototype.insert=function(y,I,U,$,ae,he){var Oe=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(U,$,ae);for(var rt=he?this.grid3D:this.grid,gt=0;gt<I.length;gt++){for(var Et=I[gt],or=[1/0,1/0,-1/0,-1/0],_r=0;_r<Et.length;_r++){var pr=Et[_r];or[0]=Math.min(or[0],pr.x),or[1]=Math.min(or[1],pr.y),or[2]=Math.max(or[2],pr.x),or[3]=Math.max(or[3],pr.y)}or[0]<Ci&&or[1]<Ci&&or[2]>=0&&or[3]>=0&&rt.insert(Oe,or[0],or[1],or[2],or[3])}},py.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new pg.VectorTile(new Xa(this.rawTileData)).layers,this.sourceLayerCoder=new r6(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},py.prototype.query=function(y,I,U,$){var ae=this;this.loadVTLayers();for(var he=y.params||{},Oe=Ci/y.tileSize/y.scale,rt=be(he.filter),gt=y.queryGeometry,Et=y.queryPadding*Oe,or=nee(gt),_r=this.grid.query(or.minX-Et,or.minY-Et,or.maxX+Et,or.maxY+Et),pr=nee(y.cameraQueryGeometry),Fr=this.grid3D.query(pr.minX-Et,pr.minY-Et,pr.maxX+Et,pr.maxY+Et,function(Zn,ga,ha,eo){return gp(y.cameraQueryGeometry,Zn-Et,ga-Et,ha+Et,eo+Et)}),oi=0,Hi=Fr;oi<Hi.length;oi+=1){var Ai=Hi[oi];_r.push(Ai)}_r.sort(stt);for(var bn={},nn,xn=function(Zn){var ga=_r[Zn];if(ga!==nn){nn=ga;var ha=ae.featureIndexArray.get(ga),eo=null;ae.loadMatchingFeature(bn,ha.bucketIndex,ha.sourceLayerIndex,ha.featureIndex,rt,he.layers,he.availableImages,I,U,$,function(za,Za,Ko){return eo||(eo=zn(za)),Za.queryIntersectsFeature(gt,za,Ko,eo,ae.z,y.transform,Oe,y.pixelPosMatrix)})}},Pn=0;Pn<_r.length;Pn++)xn(Pn);return bn},py.prototype.loadMatchingFeature=function(y,I,U,$,ae,he,Oe,rt,gt,Et,or){var _r=this.bucketLayerIDs[I];if(!(he&&!N(he,_r))){var pr=this.sourceLayerCoder.decode(U),Fr=this.vtLayers[pr],oi=Fr.feature($);if(ae.needGeometry){var Hi=Ja(oi,!0);if(!ae.filter(new Gn(this.tileID.overscaledZ),Hi,this.tileID.canonical))return}else if(!ae.filter(new Gn(this.tileID.overscaledZ),oi))return;for(var Ai=this.getId(oi,pr),bn=0;bn<_r.length;bn++){var nn=_r[bn];if(!(he&&he.indexOf(nn)<0)){var xn=rt[nn];if(xn){var Pn={};Ai!==void 0&&Et&&(Pn=Et.getState(xn.sourceLayer||\"_geojsonTileLayer\",Ai));var Zn=x({},gt[nn]);Zn.paint=iee(Zn.paint,xn.paint,oi,Pn,Oe),Zn.layout=iee(Zn.layout,xn.layout,oi,Pn,Oe);var ga=!or||or(oi,xn,Pn);if(ga){var ha=new i6(oi,this.z,this.x,this.y,Ai);ha.layer=Zn;var eo=y[nn];eo===void 0&&(eo=y[nn]=[]),eo.push({featureIndex:$,feature:ha,intersectionZ:ga})}}}}}},py.prototype.lookupSymbolFeatures=function(y,I,U,$,ae,he,Oe,rt){var gt={};this.loadVTLayers();for(var Et=be(ae),or=0,_r=y;or<_r.length;or+=1){var pr=_r[or];this.loadMatchingFeature(gt,U,$,pr,Et,he,Oe,rt,I)}return gt},py.prototype.hasLayer=function(y){for(var I=0,U=this.bucketLayerIDs;I<U.length;I+=1)for(var $=U[I],ae=0,he=$;ae<he.length;ae+=1){var Oe=he[ae];if(y===Oe)return!0}return!1},py.prototype.getId=function(y,I){var U=y.id;if(this.promoteId){var $=typeof this.promoteId==\"string\"?this.promoteId:this.promoteId[I];U=y.properties[$],typeof U==\"boolean\"&&(U=Number(U))}return U},X(\"FeatureIndex\",py,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});function iee(m,y,I,U,$){return G(m,function(ae,he){var Oe=y instanceof Sc?y.get(he):null;return Oe&&Oe.evaluate?Oe.evaluate(I,U,$):Oe})}function nee(m){for(var y=1/0,I=1/0,U=-1/0,$=-1/0,ae=0,he=m;ae<he.length;ae+=1){var Oe=he[ae];y=Math.min(y,Oe.x),I=Math.min(I,Oe.y),U=Math.max(U,Oe.x),$=Math.max($,Oe.y)}return{minX:y,minY:I,maxX:U,maxY:$}}function stt(m,y){return y-m}var ltt=3e4,Zh=function(y,I){this.tileID=y,this.uid=g(),this.uses=0,this.tileSize=I,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};Zh.prototype.registerFadeDuration=function(y){var I=y+this.timeAdded;I<ut.now()||this.fadeEndTime&&I<this.fadeEndTime||(this.fadeEndTime=I)},Zh.prototype.wasRequested=function(){return this.state===\"errored\"||this.state===\"loaded\"||this.state===\"reloading\"},Zh.prototype.loadVectorData=function(y,I,U){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",!y){this.collisionBoxArray=new Va;return}y.featureIndex&&(this.latestFeatureIndex=y.featureIndex,y.rawTileData?(this.latestRawTileData=y.rawTileData,this.latestFeatureIndex.rawTileData=y.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=y.collisionBoxArray,this.buckets=ott(y.buckets,I.style),this.hasSymbolBuckets=!1;for(var $ in this.buckets){var ae=this.buckets[$];if(ae instanceof Pu)if(this.hasSymbolBuckets=!0,U)ae.justReloaded=!0;else break}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var he in this.buckets){var Oe=this.buckets[he];if(Oe instanceof Pu&&Oe.hasRTLText){this.hasRTLText=!0,Xs();break}}this.queryPadding=0;for(var rt in this.buckets){var gt=this.buckets[rt];this.queryPadding=Math.max(this.queryPadding,I.style.getLayer(rt).queryRadius(gt))}y.imageAtlas&&(this.imageAtlas=y.imageAtlas),y.glyphAtlasImage&&(this.glyphAtlasImage=y.glyphAtlasImage)},Zh.prototype.unloadVectorData=function(){for(var y in this.buckets)this.buckets[y].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},Zh.prototype.getBucket=function(y){return this.buckets[y.id]},Zh.prototype.upload=function(y){for(var I in this.buckets){var U=this.buckets[I];U.uploadPending()&&U.upload(y)}var $=y.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new ib(y,this.imageAtlas.image,$.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new ib(y,this.glyphAtlasImage,$.ALPHA),this.glyphAtlasImage=null)},Zh.prototype.prepare=function(y){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(y,this.imageAtlasTexture)},Zh.prototype.queryRenderedFeatures=function(y,I,U,$,ae,he,Oe,rt,gt,Et){return!this.latestFeatureIndex||!this.latestFeatureIndex.rawTileData?{}:this.latestFeatureIndex.query({queryGeometry:$,cameraQueryGeometry:ae,scale:he,tileSize:this.tileSize,pixelPosMatrix:Et,transform:rt,params:Oe,queryPadding:this.queryPadding*gt},y,I,U)},Zh.prototype.querySourceFeatures=function(y,I){var U=this.latestFeatureIndex;if(!(!U||!U.rawTileData)){var $=U.loadVTLayers(),ae=I?I.sourceLayer:\"\",he=$._geojsonTileLayer||$[ae];if(he)for(var Oe=be(I&&I.filter),rt=this.tileID.canonical,gt=rt.z,Et=rt.x,or=rt.y,_r={z:gt,x:Et,y:or},pr=0;pr<he.length;pr++){var Fr=he.feature(pr);if(Oe.needGeometry){var oi=Ja(Fr,!0);if(!Oe.filter(new Gn(this.tileID.overscaledZ),oi,this.tileID.canonical))continue}else if(!Oe.filter(new Gn(this.tileID.overscaledZ),Fr))continue;var Hi=U.getId(Fr,ae),Ai=new i6(Fr,gt,Et,or,Hi);Ai.tile=_r,y.push(Ai)}}},Zh.prototype.hasData=function(){return this.state===\"loaded\"||this.state===\"reloading\"||this.state===\"expired\"},Zh.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},Zh.prototype.setExpiryData=function(y){var I=this.expirationTime;if(y.cacheControl){var U=me(y.cacheControl);U[\"max-age\"]&&(this.expirationTime=Date.now()+U[\"max-age\"]*1e3)}else y.expires&&(this.expirationTime=new Date(y.expires).getTime());if(this.expirationTime){var $=Date.now(),ae=!1;if(this.expirationTime>$)ae=!1;else if(!I)ae=!0;else if(this.expirationTime<I)ae=!0;else{var he=this.expirationTime-I;he?this.expirationTime=$+Math.max(he,ltt):ae=!0}ae?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},Zh.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)},Zh.prototype.setFeatureState=function(y,I){if(!(!this.latestFeatureIndex||!this.latestFeatureIndex.rawTileData||Object.keys(y).length===0)){var U=this.latestFeatureIndex.loadVTLayers();for(var $ in this.buckets)if(I.style.hasLayer($)){var ae=this.buckets[$],he=ae.layers[0].sourceLayer||\"_geojsonTileLayer\",Oe=U[he],rt=y[he];if(!(!Oe||!rt||Object.keys(rt).length===0)){ae.update(rt,Oe,this.imageAtlas&&this.imageAtlas.patternPositions||{});var gt=I&&I.style&&I.style.getLayer($);gt&&(this.queryPadding=Math.max(this.queryPadding,gt.queryRadius(ae)))}}}},Zh.prototype.holdingForFade=function(){return this.symbolFadeHoldUntil!==void 0},Zh.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<ut.now()},Zh.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},Zh.prototype.setHoldDuration=function(y){this.symbolFadeHoldUntil=ut.now()+y},Zh.prototype.setDependencies=function(y,I){for(var U={},$=0,ae=I;$<ae.length;$+=1){var he=ae[$];U[he]=!0}this.dependencies[y]=U},Zh.prototype.hasDependency=function(y,I){for(var U=0,$=y;U<$.length;U+=1){var ae=$[U],he=this.dependencies[ae];if(he)for(var Oe=0,rt=I;Oe<rt.length;Oe+=1){var gt=rt[Oe];if(he[gt])return!0}}return!1};var utt=[\"type\",\"source\",\"source-layer\",\"minzoom\",\"maxzoom\",\"filter\",\"layout\"],D1=f.performance,aee=function(y){this._marks={start:[y.url,\"start\"].join(\"#\"),end:[y.url,\"end\"].join(\"#\"),measure:y.url.toString()},D1.mark(this._marks.start)};aee.prototype.finish=function(){D1.mark(this._marks.end);var y=D1.getEntriesByName(this._marks.measure);return 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strict\";function a(Ut){var wt=typeof Ut;if(wt===\"number\"||wt===\"boolean\"||wt===\"string\"||Ut===void 0||Ut===null)return JSON.stringify(Ut);if(Array.isArray(Ut)){for(var rr=\"[\",nr=0,Er=Ut;nr<Er.length;nr+=1){var Xr=Er[nr];rr+=a(Xr)+\",\"}return rr+\"]\"}for(var ri=Object.keys(Ut).sort(),Qr=\"{\",Oi=0;Oi<ri.length;Oi++)Qr+=JSON.stringify(ri[Oi])+\":\"+a(Ut[ri[Oi]])+\",\";return Qr+\"}\"}function o(Ut){for(var wt=\"\",rr=0,nr=i.refProperties;rr<nr.length;rr+=1){var Er=nr[rr];wt+=\"/\"+a(Ut[Er])}return wt}function s(Ut,wt){for(var rr={},nr=0;nr<Ut.length;nr++){var Er=wt&&wt[Ut[nr].id]||o(Ut[nr]);wt&&(wt[Ut[nr].id]=Er);var Xr=rr[Er];Xr||(Xr=rr[Er]=[]),Xr.push(Ut[nr])}var ri=[];for(var Qr in rr)ri.push(rr[Qr]);return ri}var l=function(wt){this.keyCache={},wt&&this.replace(wt)};l.prototype.replace=function(wt){this._layerConfigs={},this._layers={},this.update(wt,[])},l.prototype.update=function(wt,rr){for(var nr=this,Er=0,Xr=wt;Er<Xr.length;Er+=1){var ri=Xr[Er];this._layerConfigs[ri.id]=ri;var Qr=this._layers[ri.id]=i.createStyleLayer(ri);Qr._featureFilter=i.featureFilter(Qr.filter),this.keyCache[ri.id]&&delete this.keyCache[ri.id]}for(var Oi=0,$i=rr;Oi<$i.length;Oi+=1){var tn=$i[Oi];delete this.keyCache[tn],delete this._layerConfigs[tn],delete this._layers[tn]}this.familiesBySource={};for(var fn=s(i.values(this._layerConfigs),this.keyCache),yn=0,Sn=fn;yn<Sn.length;yn+=1){var Ba=Sn[yn],ua=Ba.map(function(Wn){return nr._layers[Wn.id]}),ma=ua[0];if(ma.visibility!==\"none\"){var Wa=ma.source||\"\",Fa=this.familiesBySource[Wa];Fa||(Fa=this.familiesBySource[Wa]={});var Wo=ma.sourceLayer||\"_geojsonTileLayer\",da=Fa[Wo];da||(da=Fa[Wo]=[]),da.push(ua)}}};var u=1,c=function(wt){var rr={},nr=[];for(var Er in wt){var Xr=wt[Er],ri=rr[Er]={};for(var Qr in Xr){var Oi=Xr[+Qr];if(!(!Oi||Oi.bitmap.width===0||Oi.bitmap.height===0)){var $i={x:0,y:0,w:Oi.bitmap.width+2*u,h:Oi.bitmap.height+2*u};nr.push($i),ri[Qr]={rect:$i,metrics:Oi.metrics}}}}var tn=i.potpack(nr),fn=tn.w,yn=tn.h,Sn=new i.AlphaImage({width:fn||1,height:yn||1});for(var Ba in wt){var ua=wt[Ba];for(var ma in ua){var Wa=ua[+ma];if(!(!Wa||Wa.bitmap.width===0||Wa.bitmap.height===0)){var Fa=rr[Ba][ma].rect;i.AlphaImage.copy(Wa.bitmap,Sn,{x:0,y:0},{x:Fa.x+u,y:Fa.y+u},Wa.bitmap)}}}this.image=Sn,this.positions=rr};i.register(\"GlyphAtlas\",c);var f=function(wt){this.tileID=new i.OverscaledTileID(wt.tileID.overscaledZ,wt.tileID.wrap,wt.tileID.canonical.z,wt.tileID.canonical.x,wt.tileID.canonical.y),this.uid=wt.uid,this.zoom=wt.zoom,this.pixelRatio=wt.pixelRatio,this.tileSize=wt.tileSize,this.source=wt.source,this.overscaling=this.tileID.overscaleFactor(),this.showCollisionBoxes=wt.showCollisionBoxes,this.collectResourceTiming=!!wt.collectResourceTiming,this.returnDependencies=!!wt.returnDependencies,this.promoteId=wt.promoteId};f.prototype.parse=function(wt,rr,nr,Er,Xr){var ri=this;this.status=\"parsing\",this.data=wt,this.collisionBoxArray=new i.CollisionBoxArray;var Qr=new i.DictionaryCoder(Object.keys(wt.layers).sort()),Oi=new i.FeatureIndex(this.tileID,this.promoteId);Oi.bucketLayerIDs=[];var $i={},tn={featureIndex:Oi,iconDependencies:{},patternDependencies:{},glyphDependencies:{},availableImages:nr},fn=rr.familiesBySource[this.source];for(var yn in fn){var Sn=wt.layers[yn];if(Sn){Sn.version===1&&i.warnOnce('Vector tile source \"'+this.source+'\" layer \"'+yn+'\" does not use vector tile spec v2 and therefore may have some rendering errors.');for(var Ba=Qr.encode(yn),ua=[],ma=0;ma<Sn.length;ma++){var Wa=Sn.feature(ma),Fa=Oi.getId(Wa,yn);ua.push({feature:Wa,id:Fa,index:ma,sourceLayerIndex:Ba})}for(var Wo=0,da=fn[yn];Wo<da.length;Wo+=1){var Wn=da[Wo],Ha=Wn[0];if(!(Ha.minzoom&&this.zoom<Math.floor(Ha.minzoom))&&!(Ha.maxzoom&&this.zoom>=Ha.maxzoom)&&Ha.visibility!==\"none\"){h(Wn,this.zoom,nr);var vo=$i[Ha.id]=Ha.createBucket({index:Oi.bucketLayerIDs.length,layers:Wn,zoom:this.zoom,pixelRatio:this.pixelRatio,overscaling:this.overscaling,collisionBoxArray:this.collisionBoxArray,sourceLayerIndex:Ba,sourceID:this.source});vo.populate(ua,tn,this.tileID.canonical),Oi.bucketLayerIDs.push(Wn.map(function(Li){return Li.id}))}}}}var jn,Mt,kr,Jr,vi=i.mapObject(tn.glyphDependencies,function(Li){return Object.keys(Li).map(Number)});Object.keys(vi).length?Er.send(\"getGlyphs\",{uid:this.uid,stacks:vi},function(Li,_n){jn||(jn=Li,Mt=_n,Mn.call(ri))}):Mt={};var hn=Object.keys(tn.iconDependencies);hn.length?Er.send(\"getImages\",{icons:hn,source:this.source,tileID:this.tileID,type:\"icons\"},function(Li,_n){jn||(jn=Li,kr=_n,Mn.call(ri))}):kr={};var An=Object.keys(tn.patternDependencies);An.length?Er.send(\"getImages\",{icons:An,source:this.source,tileID:this.tileID,type:\"patterns\"},function(Li,_n){jn||(jn=Li,Jr=_n,Mn.call(ri))}):Jr={},Mn.call(this);function Mn(){if(jn)return Xr(jn);if(Mt&&kr&&Jr){var Li=new c(Mt),_n=new i.ImageAtlas(kr,Jr);for(var ya in $i){var Jn=$i[ya];Jn instanceof i.SymbolBucket?(h(Jn.layers,this.zoom,nr),i.performSymbolLayout(Jn,Mt,Li.positions,kr,_n.iconPositions,this.showCollisionBoxes,this.tileID.canonical)):Jn.hasPattern&&(Jn instanceof i.LineBucket||Jn instanceof i.FillBucket||Jn instanceof i.FillExtrusionBucket)&&(h(Jn.layers,this.zoom,nr),Jn.addFeatures(tn,this.tileID.canonical,_n.patternPositions))}this.status=\"done\",Xr(null,{buckets:i.values($i).filter(function(Ma){return!Ma.isEmpty()}),featureIndex:Oi,collisionBoxArray:this.collisionBoxArray,glyphAtlasImage:Li.image,imageAtlas:_n,glyphMap:this.returnDependencies?Mt:null,iconMap:this.returnDependencies?kr:null,glyphPositions:this.returnDependencies?Li.positions:null})}}};function h(Ut,wt,rr){for(var nr=new i.EvaluationParameters(wt),Er=0,Xr=Ut;Er<Xr.length;Er+=1){var ri=Xr[Er];ri.recalculate(nr,rr)}}function d(Ut,wt){var rr=i.getArrayBuffer(Ut.request,function(nr,Er,Xr,ri){nr?wt(nr):Er&&wt(null,{vectorTile:new i.vectorTile.VectorTile(new i.pbf(Er)),rawData:Er,cacheControl:Xr,expires:ri})});return function(){rr.cancel(),wt()}}var v=function(wt,rr,nr,Er){this.actor=wt,this.layerIndex=rr,this.availableImages=nr,this.loadVectorData=Er||d,this.loading={},this.loaded={}};v.prototype.loadTile=function(wt,rr){var nr=this,Er=wt.uid;this.loading||(this.loading={});var Xr=wt&&wt.request&&wt.request.collectResourceTiming?new i.RequestPerformance(wt.request):!1,ri=this.loading[Er]=new f(wt);ri.abort=this.loadVectorData(wt,function(Qr,Oi){if(delete nr.loading[Er],Qr||!Oi)return ri.status=\"done\",nr.loaded[Er]=ri,rr(Qr);var $i=Oi.rawData,tn={};Oi.expires&&(tn.expires=Oi.expires),Oi.cacheControl&&(tn.cacheControl=Oi.cacheControl);var fn={};if(Xr){var yn=Xr.finish();yn&&(fn.resourceTiming=JSON.parse(JSON.stringify(yn)))}ri.vectorTile=Oi.vectorTile,ri.parse(Oi.vectorTile,nr.layerIndex,nr.availableImages,nr.actor,function(Sn,Ba){if(Sn||!Ba)return rr(Sn);rr(null,i.extend({rawTileData:$i.slice(0)},Ba,tn,fn))}),nr.loaded=nr.loaded||{},nr.loaded[Er]=ri})},v.prototype.reloadTile=function(wt,rr){var nr=this,Er=this.loaded,Xr=wt.uid,ri=this;if(Er&&Er[Xr]){var Qr=Er[Xr];Qr.showCollisionBoxes=wt.showCollisionBoxes;var Oi=function($i,tn){var fn=Qr.reloadCallback;fn&&(delete Qr.reloadCallback,Qr.parse(Qr.vectorTile,ri.layerIndex,nr.availableImages,ri.actor,fn)),rr($i,tn)};Qr.status===\"parsing\"?Qr.reloadCallback=Oi:Qr.status===\"done\"&&(Qr.vectorTile?Qr.parse(Qr.vectorTile,this.layerIndex,this.availableImages,this.actor,Oi):Oi())}},v.prototype.abortTile=function(wt,rr){var nr=this.loading,Er=wt.uid;nr&&nr[Er]&&nr[Er].abort&&(nr[Er].abort(),delete nr[Er]),rr()},v.prototype.removeTile=function(wt,rr){var nr=this.loaded,Er=wt.uid;nr&&nr[Er]&&delete nr[Er],rr()};var _=i.window.ImageBitmap,b=function(){this.loaded={}};b.prototype.loadTile=function(wt,rr){var nr=wt.uid,Er=wt.encoding,Xr=wt.rawImageData,ri=_&&Xr instanceof _?this.getImageData(Xr):Xr,Qr=new i.DEMData(nr,ri,Er);this.loaded=this.loaded||{},this.loaded[nr]=Qr,rr(null,Qr)},b.prototype.getImageData=function(wt){(!this.offscreenCanvas||!this.offscreenCanvasContext)&&(this.offscreenCanvas=new OffscreenCanvas(wt.width,wt.height),this.offscreenCanvasContext=this.offscreenCanvas.getContext(\"2d\")),this.offscreenCanvas.width=wt.width,this.offscreenCanvas.height=wt.height,this.offscreenCanvasContext.drawImage(wt,0,0,wt.width,wt.height);var rr=this.offscreenCanvasContext.getImageData(-1,-1,wt.width+2,wt.height+2);return this.offscreenCanvasContext.clearRect(0,0,this.offscreenCanvas.width,this.offscreenCanvas.height),new i.RGBAImage({width:rr.width,height:rr.height},rr.data)},b.prototype.removeTile=function(wt){var rr=this.loaded,nr=wt.uid;rr&&rr[nr]&&delete rr[nr]};var p=k;function k(Ut,wt){var rr=Ut&&Ut.type,nr;if(rr===\"FeatureCollection\")for(nr=0;nr<Ut.features.length;nr++)k(Ut.features[nr],wt);else if(rr===\"GeometryCollection\")for(nr=0;nr<Ut.geometries.length;nr++)k(Ut.geometries[nr],wt);else if(rr===\"Feature\")k(Ut.geometry,wt);else if(rr===\"Polygon\")E(Ut.coordinates,wt);else if(rr===\"MultiPolygon\")for(nr=0;nr<Ut.coordinates.length;nr++)E(Ut.coordinates[nr],wt);return Ut}function E(Ut,wt){if(Ut.length!==0){S(Ut[0],wt);for(var rr=1;rr<Ut.length;rr++)S(Ut[rr],!wt)}}function S(Ut,wt){for(var rr=0,nr=0,Er=Ut.length,Xr=Er-1;nr<Er;Xr=nr++)rr+=(Ut[nr][0]-Ut[Xr][0])*(Ut[Xr][1]+Ut[nr][1]);rr>=0!=!!wt&&Ut.reverse()}var L=i.vectorTile.VectorTileFeature.prototype.toGeoJSON,x=function(wt){this._feature=wt,this.extent=i.EXTENT,this.type=wt.type,this.properties=wt.tags,\"id\"in wt&&!isNaN(wt.id)&&(this.id=parseInt(wt.id,10))};x.prototype.loadGeometry=function(){if(this._feature.type===1){for(var wt=[],rr=0,nr=this._feature.geometry;rr<nr.length;rr+=1){var Er=nr[rr];wt.push([new i.Point$1(Er[0],Er[1])])}return wt}else{for(var Xr=[],ri=0,Qr=this._feature.geometry;ri<Qr.length;ri+=1){for(var Oi=Qr[ri],$i=[],tn=0,fn=Oi;tn<fn.length;tn+=1){var yn=fn[tn];$i.push(new i.Point$1(yn[0],yn[1]))}Xr.push($i)}return Xr}},x.prototype.toGeoJSON=function(wt,rr,nr){return L.call(this,wt,rr,nr)};var C=function(wt){this.layers={_geojsonTileLayer:this},this.name=\"_geojsonTileLayer\",this.extent=i.EXTENT,this.length=wt.length,this._features=wt};C.prototype.feature=function(wt){return new x(this._features[wt])};var M=i.vectorTile.VectorTileFeature,g=P;function P(Ut,wt){this.options=wt||{},this.features=Ut,this.length=Ut.length}P.prototype.feature=function(Ut){return new T(this.features[Ut],this.options.extent)};function T(Ut,wt){this.id=typeof Ut.id==\"number\"?Ut.id:void 0,this.type=Ut.type,this.rawGeometry=Ut.type===1?[Ut.geometry]:Ut.geometry,this.properties=Ut.tags,this.extent=wt||4096}T.prototype.loadGeometry=function(){var Ut=this.rawGeometry;this.geometry=[];for(var wt=0;wt<Ut.length;wt++){for(var rr=Ut[wt],nr=[],Er=0;Er<rr.length;Er++)nr.push(new i.Point$1(rr[Er][0],rr[Er][1]));this.geometry.push(nr)}return this.geometry},T.prototype.bbox=function(){this.geometry||this.loadGeometry();for(var Ut=this.geometry,wt=1/0,rr=-1/0,nr=1/0,Er=-1/0,Xr=0;Xr<Ut.length;Xr++)for(var ri=Ut[Xr],Qr=0;Qr<ri.length;Qr++){var Oi=ri[Qr];wt=Math.min(wt,Oi.x),rr=Math.max(rr,Oi.x),nr=Math.min(nr,Oi.y),Er=Math.max(Er,Oi.y)}return[wt,nr,rr,Er]},T.prototype.toGeoJSON=M.prototype.toGeoJSON;var z=Z,O=Z,V=j,G=g;function Z(Ut){var wt=new i.pbf;return N(Ut,wt),wt.finish()}function j(Ut,wt){wt=wt||{};var rr={};for(var nr in Ut)rr[nr]=new g(Ut[nr].features,wt),rr[nr].name=nr,rr[nr].version=wt.version,rr[nr].extent=wt.extent;return Z({layers:rr})}function N(Ut,wt){for(var rr in Ut.layers)wt.writeMessage(3,H,Ut.layers[rr])}function H(Ut,wt){wt.writeVarintField(15,Ut.version||1),wt.writeStringField(1,Ut.name||\"\"),wt.writeVarintField(5,Ut.extent||4096);var rr,nr={keys:[],values:[],keycache:{},valuecache:{}};for(rr=0;rr<Ut.length;rr++)nr.feature=Ut.feature(rr),wt.writeMessage(2,te,nr);var Er=nr.keys;for(rr=0;rr<Er.length;rr++)wt.writeStringField(3,Er[rr]);var Xr=nr.values;for(rr=0;rr<Xr.length;rr++)wt.writeMessage(4,me,Xr[rr])}function te(Ut,wt){var rr=Ut.feature;rr.id!==void 0&&wt.writeVarintField(1,rr.id),wt.writeMessage(2,oe,Ut),wt.writeVarintField(3,rr.type),wt.writeMessage(4,Ce,rr)}function oe(Ut,wt){var rr=Ut.feature,nr=Ut.keys,Er=Ut.values,Xr=Ut.keycache,ri=Ut.valuecache;for(var Qr in rr.properties){var Oi=Xr[Qr];typeof Oi==\"undefined\"&&(nr.push(Qr),Oi=nr.length-1,Xr[Qr]=Oi),wt.writeVarint(Oi);var $i=rr.properties[Qr],tn=typeof $i;tn!==\"string\"&&tn!==\"boolean\"&&tn!==\"number\"&&($i=JSON.stringify($i));var fn=tn+\":\"+$i,yn=ri[fn];typeof yn==\"undefined\"&&(Er.push($i),yn=Er.length-1,ri[fn]=yn),wt.writeVarint(yn)}}function _e(Ut,wt){return(wt<<3)+(Ut&7)}function Ee(Ut){return Ut<<1^Ut>>31}function Ce(Ut,wt){for(var rr=Ut.loadGeometry(),nr=Ut.type,Er=0,Xr=0,ri=rr.length,Qr=0;Qr<ri;Qr++){var Oi=rr[Qr],$i=1;nr===1&&($i=Oi.length),wt.writeVarint(_e(1,$i));for(var tn=nr===3?Oi.length-1:Oi.length,fn=0;fn<tn;fn++){fn===1&&nr!==1&&wt.writeVarint(_e(2,tn-1));var yn=Oi[fn].x-Er,Sn=Oi[fn].y-Xr;wt.writeVarint(Ee(yn)),wt.writeVarint(Ee(Sn)),Er+=yn,Xr+=Sn}nr===3&&wt.writeVarint(_e(7,1))}}function me(Ut,wt){var rr=typeof Ut;rr===\"string\"?wt.writeStringField(1,Ut):rr===\"boolean\"?wt.writeBooleanField(7,Ut):rr===\"number\"&&(Ut%1!==0?wt.writeDoubleField(3,Ut):Ut<0?wt.writeSVarintField(6,Ut):wt.writeVarintField(5,Ut))}z.fromVectorTileJs=O,z.fromGeojsonVt=V,z.GeoJSONWrapper=G;function ie(Ut,wt,rr,nr,Er,Xr){if(!(Er-nr<=rr)){var ri=nr+Er>>1;Se(Ut,wt,ri,nr,Er,Xr%2),ie(Ut,wt,rr,nr,ri-1,Xr+1),ie(Ut,wt,rr,ri+1,Er,Xr+1)}}function Se(Ut,wt,rr,nr,Er,Xr){for(;Er>nr;){if(Er-nr>600){var ri=Er-nr+1,Qr=rr-nr+1,Oi=Math.log(ri),$i=.5*Math.exp(2*Oi/3),tn=.5*Math.sqrt(Oi*$i*(ri-$i)/ri)*(Qr-ri/2<0?-1:1),fn=Math.max(nr,Math.floor(rr-Qr*$i/ri+tn)),yn=Math.min(Er,Math.floor(rr+(ri-Qr)*$i/ri+tn));Se(Ut,wt,rr,fn,yn,Xr)}var Sn=wt[2*rr+Xr],Ba=nr,ua=Er;for(Le(Ut,wt,nr,rr),wt[2*Er+Xr]>Sn&&Le(Ut,wt,nr,Er);Ba<ua;){for(Le(Ut,wt,Ba,ua),Ba++,ua--;wt[2*Ba+Xr]<Sn;)Ba++;for(;wt[2*ua+Xr]>Sn;)ua--}wt[2*nr+Xr]===Sn?Le(Ut,wt,nr,ua):(ua++,Le(Ut,wt,ua,Er)),ua<=rr&&(nr=ua+1),rr<=ua&&(Er=ua-1)}}function Le(Ut,wt,rr,nr){Ae(Ut,rr,nr),Ae(wt,2*rr,2*nr),Ae(wt,2*rr+1,2*nr+1)}function Ae(Ut,wt,rr){var nr=Ut[wt];Ut[wt]=Ut[rr],Ut[rr]=nr}function Fe(Ut,wt,rr,nr,Er,Xr,ri){for(var Qr=[0,Ut.length-1,0],Oi=[],$i,tn;Qr.length;){var fn=Qr.pop(),yn=Qr.pop(),Sn=Qr.pop();if(yn-Sn<=ri){for(var Ba=Sn;Ba<=yn;Ba++)$i=wt[2*Ba],tn=wt[2*Ba+1],$i>=rr&&$i<=Er&&tn>=nr&&tn<=Xr&&Oi.push(Ut[Ba]);continue}var ua=Math.floor((Sn+yn)/2);$i=wt[2*ua],tn=wt[2*ua+1],$i>=rr&&$i<=Er&&tn>=nr&&tn<=Xr&&Oi.push(Ut[ua]);var ma=(fn+1)%2;(fn===0?rr<=$i:nr<=tn)&&(Qr.push(Sn),Qr.push(ua-1),Qr.push(ma)),(fn===0?Er>=$i:Xr>=tn)&&(Qr.push(ua+1),Qr.push(yn),Qr.push(ma))}return Oi}function Pe(Ut,wt,rr,nr,Er,Xr){for(var ri=[0,Ut.length-1,0],Qr=[],Oi=Er*Er;ri.length;){var $i=ri.pop(),tn=ri.pop(),fn=ri.pop();if(tn-fn<=Xr){for(var yn=fn;yn<=tn;yn++)ge(wt[2*yn],wt[2*yn+1],rr,nr)<=Oi&&Qr.push(Ut[yn]);continue}var Sn=Math.floor((fn+tn)/2),Ba=wt[2*Sn],ua=wt[2*Sn+1];ge(Ba,ua,rr,nr)<=Oi&&Qr.push(Ut[Sn]);var ma=($i+1)%2;($i===0?rr-Er<=Ba:nr-Er<=ua)&&(ri.push(fn),ri.push(Sn-1),ri.push(ma)),($i===0?rr+Er>=Ba:nr+Er>=ua)&&(ri.push(Sn+1),ri.push(tn),ri.push(ma))}return Qr}function ge(Ut,wt,rr,nr){var Er=Ut-rr,Xr=wt-nr;return Er*Er+Xr*Xr}var Re=function(Ut){return Ut[0]},ce=function(Ut){return Ut[1]},Ze=function(wt,rr,nr,Er,Xr){rr===void 0&&(rr=Re),nr===void 0&&(nr=ce),Er===void 0&&(Er=64),Xr===void 0&&(Xr=Float64Array),this.nodeSize=Er,this.points=wt;for(var ri=wt.length<65536?Uint16Array:Uint32Array,Qr=this.ids=new ri(wt.length),Oi=this.coords=new Xr(wt.length*2),$i=0;$i<wt.length;$i++)Qr[$i]=$i,Oi[2*$i]=rr(wt[$i]),Oi[2*$i+1]=nr(wt[$i]);ie(Qr,Oi,Er,0,Qr.length-1,0)};Ze.prototype.range=function(wt,rr,nr,Er){return Fe(this.ids,this.coords,wt,rr,nr,Er,this.nodeSize)},Ze.prototype.within=function(wt,rr,nr){return Pe(this.ids,this.coords,wt,rr,nr,this.nodeSize)};var ut={minZoom:0,maxZoom:16,minPoints:2,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:function(Ut){return Ut}},pt=function(wt){this.options=cr(Object.create(ut),wt),this.trees=new Array(this.options.maxZoom+1)};pt.prototype.load=function(wt){var rr=this.options,nr=rr.log,Er=rr.minZoom,Xr=rr.maxZoom,ri=rr.nodeSize;nr&&console.time(\"total time\");var Qr=\"prepare \"+wt.length+\" points\";nr&&console.time(Qr),this.points=wt;for(var Oi=[],$i=0;$i<wt.length;$i++)wt[$i].geometry&&Oi.push(st(wt[$i],$i));this.trees[Xr+1]=new Ze(Oi,$e,St,ri,Float32Array),nr&&console.timeEnd(Qr);for(var tn=Xr;tn>=Er;tn--){var fn=+Date.now();Oi=this._cluster(Oi,tn),this.trees[tn]=new Ze(Oi,$e,St,ri,Float32Array),nr&&console.log(\"z%d: %d clusters in %dms\",tn,Oi.length,+Date.now()-fn)}return nr&&console.timeEnd(\"total time\"),this},pt.prototype.getClusters=function(wt,rr){var nr=((wt[0]+180)%360+360)%360-180,Er=Math.max(-90,Math.min(90,wt[1])),Xr=wt[2]===180?180:((wt[2]+180)%360+360)%360-180,ri=Math.max(-90,Math.min(90,wt[3]));if(wt[2]-wt[0]>=360)nr=-180,Xr=180;else if(nr>Xr){var Qr=this.getClusters([nr,Er,180,ri],rr),Oi=this.getClusters([-180,Er,Xr,ri],rr);return Qr.concat(Oi)}for(var $i=this.trees[this._limitZoom(rr)],tn=$i.range(Nt(nr),Jt(ri),Nt(Xr),Jt(Er)),fn=[],yn=0,Sn=tn;yn<Sn.length;yn+=1){var Ba=Sn[yn],ua=$i.points[Ba];fn.push(ua.numPoints?lt(ua):this.points[ua.index])}return fn},pt.prototype.getChildren=function(wt){var rr=this._getOriginId(wt),nr=this._getOriginZoom(wt),Er=\"No cluster with the specified id.\",Xr=this.trees[nr];if(!Xr)throw new Error(Er);var ri=Xr.points[rr];if(!ri)throw new Error(Er);for(var Qr=this.options.radius/(this.options.extent*Math.pow(2,nr-1)),Oi=Xr.within(ri.x,ri.y,Qr),$i=[],tn=0,fn=Oi;tn<fn.length;tn+=1){var yn=fn[tn],Sn=Xr.points[yn];Sn.parentId===wt&&$i.push(Sn.numPoints?lt(Sn):this.points[Sn.index])}if($i.length===0)throw new Error(Er);return $i},pt.prototype.getLeaves=function(wt,rr,nr){rr=rr||10,nr=nr||0;var Er=[];return this._appendLeaves(Er,wt,rr,nr,0),Er},pt.prototype.getTile=function(wt,rr,nr){var Er=this.trees[this._limitZoom(wt)],Xr=Math.pow(2,wt),ri=this.options,Qr=ri.extent,Oi=ri.radius,$i=Oi/Qr,tn=(nr-$i)/Xr,fn=(nr+1+$i)/Xr,yn={features:[]};return this._addTileFeatures(Er.range((rr-$i)/Xr,tn,(rr+1+$i)/Xr,fn),Er.points,rr,nr,Xr,yn),rr===0&&this._addTileFeatures(Er.range(1-$i/Xr,tn,1,fn),Er.points,Xr,nr,Xr,yn),rr===Xr-1&&this._addTileFeatures(Er.range(0,tn,$i/Xr,fn),Er.points,-1,nr,Xr,yn),yn.features.length?yn:null},pt.prototype.getClusterExpansionZoom=function(wt){for(var rr=this._getOriginZoom(wt)-1;rr<=this.options.maxZoom;){var nr=this.getChildren(wt);if(rr++,nr.length!==1)break;wt=nr[0].properties.cluster_id}return rr},pt.prototype._appendLeaves=function(wt,rr,nr,Er,Xr){for(var ri=this.getChildren(rr),Qr=0,Oi=ri;Qr<Oi.length;Qr+=1){var $i=Oi[Qr],tn=$i.properties;if(tn&&tn.cluster?Xr+tn.point_count<=Er?Xr+=tn.point_count:Xr=this._appendLeaves(wt,tn.cluster_id,nr,Er,Xr):Xr<Er?Xr++:wt.push($i),wt.length===nr)break}return Xr},pt.prototype._addTileFeatures=function(wt,rr,nr,Er,Xr,ri){for(var Qr=0,Oi=wt;Qr<Oi.length;Qr+=1){var $i=Oi[Qr],tn=rr[$i],fn=tn.numPoints,yn={type:1,geometry:[[Math.round(this.options.extent*(tn.x*Xr-nr)),Math.round(this.options.extent*(tn.y*Xr-Er))]],tags:fn?Gt(tn):this.points[tn.index].properties},Sn=void 0;fn?Sn=tn.id:this.options.generateId?Sn=tn.index:this.points[tn.index].id&&(Sn=this.points[tn.index].id),Sn!==void 0&&(yn.id=Sn),ri.features.push(yn)}},pt.prototype._limitZoom=function(wt){return Math.max(this.options.minZoom,Math.min(+wt,this.options.maxZoom+1))},pt.prototype._cluster=function(wt,rr){for(var nr=[],Er=this.options,Xr=Er.radius,ri=Er.extent,Qr=Er.reduce,Oi=Er.minPoints,$i=Xr/(ri*Math.pow(2,rr)),tn=0;tn<wt.length;tn++){var fn=wt[tn];if(!(fn.zoom<=rr)){fn.zoom=rr;for(var yn=this.trees[rr+1],Sn=yn.within(fn.x,fn.y,$i),Ba=fn.numPoints||1,ua=Ba,ma=0,Wa=Sn;ma<Wa.length;ma+=1){var Fa=Wa[ma],Wo=yn.points[Fa];Wo.zoom>rr&&(ua+=Wo.numPoints||1)}if(ua>=Oi){for(var da=fn.x*Ba,Wn=fn.y*Ba,Ha=Qr&&Ba>1?this._map(fn,!0):null,vo=(tn<<5)+(rr+1)+this.points.length,jn=0,Mt=Sn;jn<Mt.length;jn+=1){var kr=Mt[jn],Jr=yn.points[kr];if(!(Jr.zoom<=rr)){Jr.zoom=rr;var vi=Jr.numPoints||1;da+=Jr.x*vi,Wn+=Jr.y*vi,Jr.parentId=vo,Qr&&(Ha||(Ha=this._map(fn,!0)),Qr(Ha,this._map(Jr)))}}fn.parentId=vo,nr.push(Zt(da/ua,Wn/ua,vo,ua,Ha))}else if(nr.push(fn),ua>1)for(var hn=0,An=Sn;hn<An.length;hn+=1){var Mn=An[hn],Li=yn.points[Mn];Li.zoom<=rr||(Li.zoom=rr,nr.push(Li))}}}return nr},pt.prototype._getOriginId=function(wt){return wt-this.points.length>>5},pt.prototype._getOriginZoom=function(wt){return(wt-this.points.length)%32},pt.prototype._map=function(wt,rr){if(wt.numPoints)return rr?cr({},wt.properties):wt.properties;var nr=this.points[wt.index].properties,Er=this.options.map(nr);return rr&&Er===nr?cr({},Er):Er};function Zt(Ut,wt,rr,nr,Er){return{x:Ut,y:wt,zoom:1/0,id:rr,parentId:-1,numPoints:nr,properties:Er}}function st(Ut,wt){var rr=Ut.geometry.coordinates,nr=rr[0],Er=rr[1];return{x:Nt(nr),y:Jt(Er),zoom:1/0,index:wt,parentId:-1}}function lt(Ut){return{type:\"Feature\",id:Ut.id,properties:Gt(Ut),geometry:{type:\"Point\",coordinates:[sr(Ut.x),wr(Ut.y)]}}}function Gt(Ut){var wt=Ut.numPoints,rr=wt>=1e4?Math.round(wt/1e3)+\"k\":wt>=1e3?Math.round(wt/100)/10+\"k\":wt;return cr(cr({},Ut.properties),{cluster:!0,cluster_id:Ut.id,point_count:wt,point_count_abbreviated:rr})}function Nt(Ut){return Ut/360+.5}function Jt(Ut){var wt=Math.sin(Ut*Math.PI/180),rr=.5-.25*Math.log((1+wt)/(1-wt))/Math.PI;return rr<0?0:rr>1?1:rr}function sr(Ut){return(Ut-.5)*360}function wr(Ut){var wt=(180-Ut*360)*Math.PI/180;return 360*Math.atan(Math.exp(wt))/Math.PI-90}function cr(Ut,wt){for(var rr in wt)Ut[rr]=wt[rr];return Ut}function $e(Ut){return Ut.x}function St(Ut){return Ut.y}function Qt(Ut,wt,rr,nr){for(var Er=nr,Xr=rr-wt>>1,ri=rr-wt,Qr,Oi=Ut[wt],$i=Ut[wt+1],tn=Ut[rr],fn=Ut[rr+1],yn=wt+3;yn<rr;yn+=3){var Sn=Vt(Ut[yn],Ut[yn+1],Oi,$i,tn,fn);if(Sn>Er)Qr=yn,Er=Sn;else if(Sn===Er){var Ba=Math.abs(yn-Xr);Ba<ri&&(Qr=yn,ri=Ba)}}Er>nr&&(Qr-wt>3&&Qt(Ut,wt,Qr,nr),Ut[Qr+2]=Er,rr-Qr>3&&Qt(Ut,Qr,rr,nr))}function Vt(Ut,wt,rr,nr,Er,Xr){var ri=Er-rr,Qr=Xr-nr;if(ri!==0||Qr!==0){var Oi=((Ut-rr)*ri+(wt-nr)*Qr)/(ri*ri+Qr*Qr);Oi>1?(rr=Er,nr=Xr):Oi>0&&(rr+=ri*Oi,nr+=Qr*Oi)}return ri=Ut-rr,Qr=wt-nr,ri*ri+Qr*Qr}function _t(Ut,wt,rr,nr){var Er={id:typeof Ut==\"undefined\"?null:Ut,type:wt,geometry:rr,tags:nr,minX:1/0,minY:1/0,maxX:-1/0,maxY:-1/0};return It(Er),Er}function It(Ut){var wt=Ut.geometry,rr=Ut.type;if(rr===\"Point\"||rr===\"MultiPoint\"||rr===\"LineString\")mt(Ut,wt);else if(rr===\"Polygon\"||rr===\"MultiLineString\")for(var nr=0;nr<wt.length;nr++)mt(Ut,wt[nr]);else if(rr===\"MultiPolygon\")for(nr=0;nr<wt.length;nr++)for(var Er=0;Er<wt[nr].length;Er++)mt(Ut,wt[nr][Er])}function mt(Ut,wt){for(var rr=0;rr<wt.length;rr+=3)Ut.minX=Math.min(Ut.minX,wt[rr]),Ut.minY=Math.min(Ut.minY,wt[rr+1]),Ut.maxX=Math.max(Ut.maxX,wt[rr]),Ut.maxY=Math.max(Ut.maxY,wt[rr+1])}function er(Ut,wt){var rr=[];if(Ut.type===\"FeatureCollection\")for(var nr=0;nr<Ut.features.length;nr++)lr(rr,Ut.features[nr],wt,nr);else Ut.type===\"Feature\"?lr(rr,Ut,wt):lr(rr,{geometry:Ut},wt);return rr}function lr(Ut,wt,rr,nr){if(wt.geometry){var Er=wt.geometry.coordinates,Xr=wt.geometry.type,ri=Math.pow(rr.tolerance/((1<<rr.maxZoom)*rr.extent),2),Qr=[],Oi=wt.id;if(rr.promoteId?Oi=wt.properties[rr.promoteId]:rr.generateId&&(Oi=nr||0),Xr===\"Point\")Tr(Er,Qr);else if(Xr===\"MultiPoint\")for(var $i=0;$i<Er.length;$i++)Tr(Er[$i],Qr);else if(Xr===\"LineString\")Lr(Er,Qr,ri,!1);else if(Xr===\"MultiLineString\")if(rr.lineMetrics){for($i=0;$i<Er.length;$i++)Qr=[],Lr(Er[$i],Qr,ri,!1),Ut.push(_t(Oi,\"LineString\",Qr,wt.properties));return}else ti(Er,Qr,ri,!1);else if(Xr===\"Polygon\")ti(Er,Qr,ri,!0);else if(Xr===\"MultiPolygon\")for($i=0;$i<Er.length;$i++){var tn=[];ti(Er[$i],tn,ri,!0),Qr.push(tn)}else if(Xr===\"GeometryCollection\"){for($i=0;$i<wt.geometry.geometries.length;$i++)lr(Ut,{id:Oi,geometry:wt.geometry.geometries[$i],properties:wt.properties},rr,nr);return}else throw new Error(\"Input data is not a valid GeoJSON object.\");Ut.push(_t(Oi,Xr,Qr,wt.properties))}}function Tr(Ut,wt){wt.push(Br(Ut[0])),wt.push(Vr(Ut[1])),wt.push(0)}function Lr(Ut,wt,rr,nr){for(var Er,Xr,ri=0,Qr=0;Qr<Ut.length;Qr++){var Oi=Br(Ut[Qr][0]),$i=Vr(Ut[Qr][1]);wt.push(Oi),wt.push($i),wt.push(0),Qr>0&&(nr?ri+=(Er*$i-Oi*Xr)/2:ri+=Math.sqrt(Math.pow(Oi-Er,2)+Math.pow($i-Xr,2))),Er=Oi,Xr=$i}var tn=wt.length-3;wt[2]=1,Qt(wt,0,tn,rr),wt[tn+2]=1,wt.size=Math.abs(ri),wt.start=0,wt.end=wt.size}function ti(Ut,wt,rr,nr){for(var Er=0;Er<Ut.length;Er++){var Xr=[];Lr(Ut[Er],Xr,rr,nr),wt.push(Xr)}}function Br(Ut){return Ut/360+.5}function Vr(Ut){var wt=Math.sin(Ut*Math.PI/180),rr=.5-.25*Math.log((1+wt)/(1-wt))/Math.PI;return rr<0?0:rr>1?1:rr}function dt(Ut,wt,rr,nr,Er,Xr,ri,Qr){if(rr/=wt,nr/=wt,Xr>=rr&&ri<nr)return Ut;if(ri<rr||Xr>=nr)return null;for(var Oi=[],$i=0;$i<Ut.length;$i++){var tn=Ut[$i],fn=tn.geometry,yn=tn.type,Sn=Er===0?tn.minX:tn.minY,Ba=Er===0?tn.maxX:tn.maxY;if(Sn>=rr&&Ba<nr){Oi.push(tn);continue}else if(Ba<rr||Sn>=nr)continue;var ua=[];if(yn===\"Point\"||yn===\"MultiPoint\")Ge(fn,ua,rr,nr,Er);else if(yn===\"LineString\")Je(fn,ua,rr,nr,Er,!1,Qr.lineMetrics);else if(yn===\"MultiLineString\")tt(fn,ua,rr,nr,Er,!1);else if(yn===\"Polygon\")tt(fn,ua,rr,nr,Er,!0);else if(yn===\"MultiPolygon\")for(var ma=0;ma<fn.length;ma++){var Wa=[];tt(fn[ma],Wa,rr,nr,Er,!0),Wa.length&&ua.push(Wa)}if(ua.length){if(Qr.lineMetrics&&yn===\"LineString\"){for(ma=0;ma<ua.length;ma++)Oi.push(_t(tn.id,yn,ua[ma],tn.tags));continue}(yn===\"LineString\"||yn===\"MultiLineString\")&&(ua.length===1?(yn=\"LineString\",ua=ua[0]):yn=\"MultiLineString\"),(yn===\"Point\"||yn===\"MultiPoint\")&&(yn=ua.length===3?\"Point\":\"MultiPoint\"),Oi.push(_t(tn.id,yn,ua,tn.tags))}}return Oi.length?Oi:null}function Ge(Ut,wt,rr,nr,Er){for(var Xr=0;Xr<Ut.length;Xr+=3){var ri=Ut[Xr+Er];ri>=rr&&ri<=nr&&(wt.push(Ut[Xr]),wt.push(Ut[Xr+1]),wt.push(Ut[Xr+2]))}}function Je(Ut,wt,rr,nr,Er,Xr,ri){for(var Qr=je(Ut),Oi=Er===0?Ie:xe,$i=Ut.start,tn,fn,yn=0;yn<Ut.length-3;yn+=3){var Sn=Ut[yn],Ba=Ut[yn+1],ua=Ut[yn+2],ma=Ut[yn+3],Wa=Ut[yn+4],Fa=Er===0?Sn:Ba,Wo=Er===0?ma:Wa,da=!1;ri&&(tn=Math.sqrt(Math.pow(Sn-ma,2)+Math.pow(Ba-Wa,2))),Fa<rr?Wo>rr&&(fn=Oi(Qr,Sn,Ba,ma,Wa,rr),ri&&(Qr.start=$i+tn*fn)):Fa>nr?Wo<nr&&(fn=Oi(Qr,Sn,Ba,ma,Wa,nr),ri&&(Qr.start=$i+tn*fn)):xt(Qr,Sn,Ba,ua),Wo<rr&&Fa>=rr&&(fn=Oi(Qr,Sn,Ba,ma,Wa,rr),da=!0),Wo>nr&&Fa<=nr&&(fn=Oi(Qr,Sn,Ba,ma,Wa,nr),da=!0),!Xr&&da&&(ri&&(Qr.end=$i+tn*fn),wt.push(Qr),Qr=je(Ut)),ri&&($i+=tn)}var Wn=Ut.length-3;Sn=Ut[Wn],Ba=Ut[Wn+1],ua=Ut[Wn+2],Fa=Er===0?Sn:Ba,Fa>=rr&&Fa<=nr&&xt(Qr,Sn,Ba,ua),Wn=Qr.length-3,Xr&&Wn>=3&&(Qr[Wn]!==Qr[0]||Qr[Wn+1]!==Qr[1])&&xt(Qr,Qr[0],Qr[1],Qr[2]),Qr.length&&wt.push(Qr)}function je(Ut){var wt=[];return wt.size=Ut.size,wt.start=Ut.start,wt.end=Ut.end,wt}function tt(Ut,wt,rr,nr,Er,Xr){for(var ri=0;ri<Ut.length;ri++)Je(Ut[ri],wt,rr,nr,Er,Xr,!1)}function xt(Ut,wt,rr,nr){Ut.push(wt),Ut.push(rr),Ut.push(nr)}function Ie(Ut,wt,rr,nr,Er,Xr){var ri=(Xr-wt)/(nr-wt);return Ut.push(Xr),Ut.push(rr+(Er-rr)*ri),Ut.push(1),ri}function xe(Ut,wt,rr,nr,Er,Xr){var ri=(Xr-rr)/(Er-rr);return Ut.push(wt+(nr-wt)*ri),Ut.push(Xr),Ut.push(1),ri}function ke(Ut,wt){var rr=wt.buffer/wt.extent,nr=Ut,Er=dt(Ut,1,-1-rr,rr,0,-1,2,wt),Xr=dt(Ut,1,1-rr,2+rr,0,-1,2,wt);return(Er||Xr)&&(nr=dt(Ut,1,-rr,1+rr,0,-1,2,wt)||[],Er&&(nr=vt(Er,1).concat(nr)),Xr&&(nr=nr.concat(vt(Xr,-1)))),nr}function vt(Ut,wt){for(var rr=[],nr=0;nr<Ut.length;nr++){var Er=Ut[nr],Xr=Er.type,ri;if(Xr===\"Point\"||Xr===\"MultiPoint\"||Xr===\"LineString\")ri=ir(Er.geometry,wt);else if(Xr===\"MultiLineString\"||Xr===\"Polygon\"){ri=[];for(var Qr=0;Qr<Er.geometry.length;Qr++)ri.push(ir(Er.geometry[Qr],wt))}else if(Xr===\"MultiPolygon\")for(ri=[],Qr=0;Qr<Er.geometry.length;Qr++){for(var Oi=[],$i=0;$i<Er.geometry[Qr].length;$i++)Oi.push(ir(Er.geometry[Qr][$i],wt));ri.push(Oi)}rr.push(_t(Er.id,Xr,ri,Er.tags))}return rr}function ir(Ut,wt){var rr=[];rr.size=Ut.size,Ut.start!==void 0&&(rr.start=Ut.start,rr.end=Ut.end);for(var nr=0;nr<Ut.length;nr+=3)rr.push(Ut[nr]+wt,Ut[nr+1],Ut[nr+2]);return rr}function ar(Ut,wt){if(Ut.transformed)return Ut;var rr=1<<Ut.z,nr=Ut.x,Er=Ut.y,Xr,ri,Qr;for(Xr=0;Xr<Ut.features.length;Xr++){var Oi=Ut.features[Xr],$i=Oi.geometry,tn=Oi.type;if(Oi.geometry=[],tn===1)for(ri=0;ri<$i.length;ri+=2)Oi.geometry.push(vr($i[ri],$i[ri+1],wt,rr,nr,Er));else for(ri=0;ri<$i.length;ri++){var fn=[];for(Qr=0;Qr<$i[ri].length;Qr+=2)fn.push(vr($i[ri][Qr],$i[ri][Qr+1],wt,rr,nr,Er));Oi.geometry.push(fn)}}return Ut.transformed=!0,Ut}function vr(Ut,wt,rr,nr,Er,Xr){return[Math.round(rr*(Ut*nr-Er)),Math.round(rr*(wt*nr-Xr))]}function ii(Ut,wt,rr,nr,Er){for(var Xr=wt===Er.maxZoom?0:Er.tolerance/((1<<wt)*Er.extent),ri={features:[],numPoints:0,numSimplified:0,numFeatures:0,source:null,x:rr,y:nr,z:wt,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0},Qr=0;Qr<Ut.length;Qr++){ri.numFeatures++,pi(ri,Ut[Qr],Xr,Er);var Oi=Ut[Qr].minX,$i=Ut[Qr].minY,tn=Ut[Qr].maxX,fn=Ut[Qr].maxY;Oi<ri.minX&&(ri.minX=Oi),$i<ri.minY&&(ri.minY=$i),tn>ri.maxX&&(ri.maxX=tn),fn>ri.maxY&&(ri.maxY=fn)}return ri}function pi(Ut,wt,rr,nr){var Er=wt.geometry,Xr=wt.type,ri=[];if(Xr===\"Point\"||Xr===\"MultiPoint\")for(var Qr=0;Qr<Er.length;Qr+=3)ri.push(Er[Qr]),ri.push(Er[Qr+1]),Ut.numPoints++,Ut.numSimplified++;else if(Xr===\"LineString\")$r(ri,Er,Ut,rr,!1,!1);else if(Xr===\"MultiLineString\"||Xr===\"Polygon\")for(Qr=0;Qr<Er.length;Qr++)$r(ri,Er[Qr],Ut,rr,Xr===\"Polygon\",Qr===0);else if(Xr===\"MultiPolygon\")for(var Oi=0;Oi<Er.length;Oi++){var $i=Er[Oi];for(Qr=0;Qr<$i.length;Qr++)$r(ri,$i[Qr],Ut,rr,!0,Qr===0)}if(ri.length){var tn=wt.tags||null;if(Xr===\"LineString\"&&nr.lineMetrics){tn={};for(var fn in wt.tags)tn[fn]=wt.tags[fn];tn.mapbox_clip_start=Er.start/Er.size,tn.mapbox_clip_end=Er.end/Er.size}var yn={geometry:ri,type:Xr===\"Polygon\"||Xr===\"MultiPolygon\"?3:Xr===\"LineString\"||Xr===\"MultiLineString\"?2:1,tags:tn};wt.id!==null&&(yn.id=wt.id),Ut.features.push(yn)}}function $r(Ut,wt,rr,nr,Er,Xr){var ri=nr*nr;if(nr>0&&wt.size<(Er?ri:nr)){rr.numPoints+=wt.length/3;return}for(var Qr=[],Oi=0;Oi<wt.length;Oi+=3)(nr===0||wt[Oi+2]>ri)&&(rr.numSimplified++,Qr.push(wt[Oi]),Qr.push(wt[Oi+1])),rr.numPoints++;Er&&di(Qr,Xr),Ut.push(Qr)}function di(Ut,wt){for(var rr=0,nr=0,Er=Ut.length,Xr=Er-2;nr<Er;Xr=nr,nr+=2)rr+=(Ut[nr]-Ut[Xr])*(Ut[nr+1]+Ut[Xr+1]);if(rr>0===wt)for(nr=0,Er=Ut.length;nr<Er/2;nr+=2){var ri=Ut[nr],Qr=Ut[nr+1];Ut[nr]=Ut[Er-2-nr],Ut[nr+1]=Ut[Er-1-nr],Ut[Er-2-nr]=ri,Ut[Er-1-nr]=Qr}}function ji(Ut,wt){return new In(Ut,wt)}function In(Ut,wt){wt=this.options=On(Object.create(this.options),wt);var rr=wt.debug;if(rr&&console.time(\"preprocess data\"),wt.maxZoom<0||wt.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(wt.promoteId&&wt.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var nr=er(Ut,wt);this.tiles={},this.tileCoords=[],rr&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",wt.indexMaxZoom,wt.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),nr=ke(nr,wt),nr.length&&this.splitTile(nr,0,0,0),rr&&(nr.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}In.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},In.prototype.splitTile=function(Ut,wt,rr,nr,Er,Xr,ri){for(var Qr=[Ut,wt,rr,nr],Oi=this.options,$i=Oi.debug;Qr.length;){nr=Qr.pop(),rr=Qr.pop(),wt=Qr.pop(),Ut=Qr.pop();var tn=1<<wt,fn=wi(wt,rr,nr),yn=this.tiles[fn];if(!yn&&($i>1&&console.time(\"creation\"),yn=this.tiles[fn]=ii(Ut,wt,rr,nr,Oi),this.tileCoords.push({z:wt,x:rr,y:nr}),$i)){$i>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",wt,rr,nr,yn.numFeatures,yn.numPoints,yn.numSimplified),console.timeEnd(\"creation\"));var Sn=\"z\"+wt;this.stats[Sn]=(this.stats[Sn]||0)+1,this.total++}if(yn.source=Ut,Er){if(wt===Oi.maxZoom||wt===Er)continue;var Ba=1<<Er-wt;if(rr!==Math.floor(Xr/Ba)||nr!==Math.floor(ri/Ba))continue}else if(wt===Oi.indexMaxZoom||yn.numPoints<=Oi.indexMaxPoints)continue;if(yn.source=null,Ut.length!==0){$i>1&&console.time(\"clipping\");var ua=.5*Oi.buffer/Oi.extent,ma=.5-ua,Wa=.5+ua,Fa=1+ua,Wo,da,Wn,Ha,vo,jn;Wo=da=Wn=Ha=null,vo=dt(Ut,tn,rr-ua,rr+Wa,0,yn.minX,yn.maxX,Oi),jn=dt(Ut,tn,rr+ma,rr+Fa,0,yn.minX,yn.maxX,Oi),Ut=null,vo&&(Wo=dt(vo,tn,nr-ua,nr+Wa,1,yn.minY,yn.maxY,Oi),da=dt(vo,tn,nr+ma,nr+Fa,1,yn.minY,yn.maxY,Oi),vo=null),jn&&(Wn=dt(jn,tn,nr-ua,nr+Wa,1,yn.minY,yn.maxY,Oi),Ha=dt(jn,tn,nr+ma,nr+Fa,1,yn.minY,yn.maxY,Oi),jn=null),$i>1&&console.timeEnd(\"clipping\"),Qr.push(Wo||[],wt+1,rr*2,nr*2),Qr.push(da||[],wt+1,rr*2,nr*2+1),Qr.push(Wn||[],wt+1,rr*2+1,nr*2),Qr.push(Ha||[],wt+1,rr*2+1,nr*2+1)}}},In.prototype.getTile=function(Ut,wt,rr){var nr=this.options,Er=nr.extent,Xr=nr.debug;if(Ut<0||Ut>24)return null;var ri=1<<Ut;wt=(wt%ri+ri)%ri;var Qr=wi(Ut,wt,rr);if(this.tiles[Qr])return ar(this.tiles[Qr],Er);Xr>1&&console.log(\"drilling down to z%d-%d-%d\",Ut,wt,rr);for(var Oi=Ut,$i=wt,tn=rr,fn;!fn&&Oi>0;)Oi--,$i=Math.floor($i/2),tn=Math.floor(tn/2),fn=this.tiles[wi(Oi,$i,tn)];return!fn||!fn.source?null:(Xr>1&&console.log(\"found parent tile z%d-%d-%d\",Oi,$i,tn),Xr>1&&console.time(\"drilling down\"),this.splitTile(fn.source,Oi,$i,tn,Ut,wt,rr),Xr>1&&console.timeEnd(\"drilling down\"),this.tiles[Qr]?ar(this.tiles[Qr],Er):null)};function wi(Ut,wt,rr){return((1<<Ut)*rr+wt)*32+Ut}function On(Ut,wt){for(var rr in wt)Ut[rr]=wt[rr];return Ut}function qn(Ut,wt){var rr=Ut.tileID.canonical;if(!this._geoJSONIndex)return wt(null,null);var nr=this._geoJSONIndex.getTile(rr.z,rr.x,rr.y);if(!nr)return wt(null,null);var Er=new C(nr.features),Xr=z(Er);(Xr.byteOffset!==0||Xr.byteLength!==Xr.buffer.byteLength)&&(Xr=new Uint8Array(Xr)),wt(null,{vectorTile:Er,rawData:Xr.buffer})}var Fn=function(Ut){function wt(rr,nr,Er,Xr){Ut.call(this,rr,nr,Er,qn),Xr&&(this.loadGeoJSON=Xr)}return Ut&&(wt.__proto__=Ut),wt.prototype=Object.create(Ut&&Ut.prototype),wt.prototype.constructor=wt,wt.prototype.loadData=function(nr,Er){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=Er,this._pendingLoadDataParams=nr,this._state&&this._state!==\"Idle\"?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},wt.prototype._loadData=function(){var nr=this;if(!(!this._pendingCallback||!this._pendingLoadDataParams)){var Er=this._pendingCallback,Xr=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var ri=Xr&&Xr.request&&Xr.request.collectResourceTiming?new i.RequestPerformance(Xr.request):!1;this.loadGeoJSON(Xr,function(Qr,Oi){if(Qr||!Oi)return Er(Qr);if(typeof Oi!=\"object\")return Er(new Error(\"Input data given to '\"+Xr.source+\"' is not a valid GeoJSON object.\"));p(Oi,!0);try{if(Xr.filter){var $i=i.createExpression(Xr.filter,{type:\"boolean\",\"property-type\":\"data-driven\",overridable:!1,transition:!1});if($i.result===\"error\")throw new Error($i.value.map(function(Sn){return Sn.key+\": \"+Sn.message}).join(\", \"));var tn=Oi.features.filter(function(Sn){return $i.value.evaluate({zoom:0},Sn)});Oi={type:\"FeatureCollection\",features:tn}}nr._geoJSONIndex=Xr.cluster?new pt(ra(Xr)).load(Oi.features):ji(Oi,Xr.geojsonVtOptions)}catch(Sn){return Er(Sn)}nr.loaded={};var fn={};if(ri){var yn=ri.finish();yn&&(fn.resourceTiming={},fn.resourceTiming[Xr.source]=JSON.parse(JSON.stringify(yn)))}Er(null,fn)})}},wt.prototype.coalesce=function(){this._state===\"Coalescing\"?this._state=\"Idle\":this._state===\"NeedsLoadData\"&&(this._state=\"Coalescing\",this._loadData())},wt.prototype.reloadTile=function(nr,Er){var Xr=this.loaded,ri=nr.uid;return Xr&&Xr[ri]?Ut.prototype.reloadTile.call(this,nr,Er):this.loadTile(nr,Er)},wt.prototype.loadGeoJSON=function(nr,Er){if(nr.request)i.getJSON(nr.request,Er);else if(typeof nr.data==\"string\")try{return Er(null,JSON.parse(nr.data))}catch(Xr){return Er(new Error(\"Input data given to '\"+nr.source+\"' is not a valid GeoJSON object.\"))}else return Er(new Error(\"Input data given to '\"+nr.source+\"' is not a valid GeoJSON object.\"))},wt.prototype.removeSource=function(nr,Er){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),Er()},wt.prototype.getClusterExpansionZoom=function(nr,Er){try{Er(null,this._geoJSONIndex.getClusterExpansionZoom(nr.clusterId))}catch(Xr){Er(Xr)}},wt.prototype.getClusterChildren=function(nr,Er){try{Er(null,this._geoJSONIndex.getChildren(nr.clusterId))}catch(Xr){Er(Xr)}},wt.prototype.getClusterLeaves=function(nr,Er){try{Er(null,this._geoJSONIndex.getLeaves(nr.clusterId,nr.limit,nr.offset))}catch(Xr){Er(Xr)}},wt}(v);function ra(Ut){var wt=Ut.superclusterOptions,rr=Ut.clusterProperties;if(!rr||!wt)return wt;for(var nr={},Er={},Xr={accumulated:null,zoom:0},ri={properties:null},Qr=Object.keys(rr),Oi=0,$i=Qr;Oi<$i.length;Oi+=1){var tn=$i[Oi],fn=rr[tn],yn=fn[0],Sn=fn[1],Ba=i.createExpression(Sn),ua=i.createExpression(typeof yn==\"string\"?[yn,[\"accumulated\"],[\"get\",tn]]:yn);nr[tn]=Ba.value,Er[tn]=ua.value}return wt.map=function(ma){ri.properties=ma;for(var Wa={},Fa=0,Wo=Qr;Fa<Wo.length;Fa+=1){var da=Wo[Fa];Wa[da]=nr[da].evaluate(Xr,ri)}return Wa},wt.reduce=function(ma,Wa){ri.properties=Wa;for(var Fa=0,Wo=Qr;Fa<Wo.length;Fa+=1){var da=Wo[Fa];Xr.accumulated=ma[da],ma[da]=Er[da].evaluate(Xr,ri)}},wt}var la=function(wt){var rr=this;this.self=wt,this.actor=new i.Actor(wt,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:v,geojson:Fn},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(nr,Er){if(rr.workerSourceTypes[nr])throw new Error('Worker source with name \"'+nr+'\" already registered.');rr.workerSourceTypes[nr]=Er},this.self.registerRTLTextPlugin=function(nr){if(i.plugin.isParsed())throw new Error(\"RTL text plugin already registered.\");i.plugin.applyArabicShaping=nr.applyArabicShaping,i.plugin.processBidirectionalText=nr.processBidirectionalText,i.plugin.processStyledBidirectionalText=nr.processStyledBidirectionalText}};return la.prototype.setReferrer=function(wt,rr){this.referrer=rr},la.prototype.setImages=function(wt,rr,nr){this.availableImages[wt]=rr;for(var Er in this.workerSources[wt]){var Xr=this.workerSources[wt][Er];for(var ri in 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Er=this.workerSources[wt][rr.type][rr.source];delete this.workerSources[wt][rr.type][rr.source],Er.removeSource!==void 0?Er.removeSource(rr,nr):nr()}},la.prototype.loadWorkerSource=function(wt,rr,nr){try{this.self.importScripts(rr.url),nr()}catch(Er){nr(Er.toString())}},la.prototype.syncRTLPluginState=function(wt,rr,nr){try{i.plugin.setState(rr);var Er=i.plugin.getPluginURL();if(i.plugin.isLoaded()&&!i.plugin.isParsed()&&Er!=null){this.self.importScripts(Er);var Xr=i.plugin.isParsed(),ri=Xr?void 0:new Error(\"RTL Text Plugin failed to import scripts from \"+Er);nr(ri,Xr)}}catch(Qr){nr(Qr.toString())}},la.prototype.getAvailableImages=function(wt){var rr=this.availableImages[wt];return rr||(rr=[]),rr},la.prototype.getLayerIndex=function(wt){var rr=this.layerIndexes[wt];return rr||(rr=this.layerIndexes[wt]=new l),rr},la.prototype.getWorkerSource=function(wt,rr,nr){var Er=this;if(this.workerSources[wt]||(this.workerSources[wt]={}),this.workerSources[wt][rr]||(this.workerSources[wt][rr]={}),!this.workerSources[wt][rr][nr]){var Xr={send:function(ri,Qr,Oi){Er.actor.send(ri,Qr,Oi,wt)}};this.workerSources[wt][rr][nr]=new this.workerSourceTypes[rr](Xr,this.getLayerIndex(wt),this.getAvailableImages(wt))}return this.workerSources[wt][rr][nr]},la.prototype.getDEMWorkerSource=function(wt,rr){return this.demWorkerSources[wt]||(this.demWorkerSources[wt]={}),this.demWorkerSources[wt][rr]||(this.demWorkerSources[wt][rr]=new b),this.demWorkerSources[wt][rr]},la.prototype.enforceCacheSizeLimit=function(wt,rr){i.enforceCacheSizeLimit(rr)},typeof WorkerGlobalScope!=\"undefined\"&&typeof self!=\"undefined\"&&self instanceof WorkerGlobalScope&&(self.worker=new la(self)),la}),n([\"./shared\"],function(i){\"use strict\";var 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Array.prototype&&Array.prototype.every&&Array.prototype.filter&&Array.prototype.forEach&&Array.prototype.indexOf&&Array.prototype.lastIndexOf&&Array.prototype.map&&Array.prototype.some&&Array.prototype.reduce&&Array.prototype.reduceRight&&Array.isArray}function de(){return Function.prototype&&Function.prototype.bind}function ne(){return Object.keys&&Object.create&&Object.getPrototypeOf&&Object.getOwnPropertyNames&&Object.isSealed&&Object.isFrozen&&Object.isExtensible&&Object.getOwnPropertyDescriptor&&Object.defineProperty&&Object.defineProperties&&Object.seal&&Object.freeze&&Object.preventExtensions}function we(){return\"JSON\"in window&&\"parse\"in JSON&&\"stringify\"in JSON}function Ue(){if(!(\"Worker\"in window&&\"Blob\"in window&&\"URL\"in window))return!1;var Ct=new Blob([\"\"],{type:\"text/javascript\"}),Ot=URL.createObjectURL(Ct),Rt,Bt;try{Bt=new Worker(Ot),Rt=!0}catch(Dt){Rt=!1}return Bt&&Bt.terminate(),URL.revokeObjectURL(Ot),Rt}function ft(){return\"Uint8ClampedArray\"in 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q&&h?Y.addEventListener(D,J,q):Y.addEventListener(D,J,q.capture)},o.removeEventListener=function(Y,D,J,q){q===void 0&&(q={}),\"passive\"in q&&h?Y.removeEventListener(D,J,q):Y.removeEventListener(D,J,q.capture)};var v=function(Y){Y.preventDefault(),Y.stopPropagation(),i.window.removeEventListener(\"click\",v,!0)};o.suppressClick=function(){i.window.addEventListener(\"click\",v,!0),i.window.setTimeout(function(){i.window.removeEventListener(\"click\",v,!0)},0)},o.mousePos=function(Y,D){var J=Y.getBoundingClientRect();return new i.Point(D.clientX-J.left-Y.clientLeft,D.clientY-J.top-Y.clientTop)},o.touchPos=function(Y,D){for(var J=Y.getBoundingClientRect(),q=[],K=0;K<D.length;K++)q.push(new i.Point(D[K].clientX-J.left-Y.clientLeft,D[K].clientY-J.top-Y.clientTop));return q},o.mouseButton=function(Y){return typeof i.window.InstallTrigger!=\"undefined\"&&Y.button===2&&Y.ctrlKey&&i.window.navigator.platform.toUpperCase().indexOf(\"MAC\")>=0?0:Y.button},o.remove=function(Y){Y.parentNode&&Y.parentNode.removeChild(Y)};function _(Y,D,J){var q,K,de,ne=i.browser.devicePixelRatio>1?\"@2x\":\"\",we=i.getJSON(D.transformRequest(D.normalizeSpriteURL(Y,ne,\".json\"),i.ResourceType.SpriteJSON),function(Xt,hr){we=null,de||(de=Xt,q=hr,ft())}),Ue=i.getImage(D.transformRequest(D.normalizeSpriteURL(Y,ne,\".png\"),i.ResourceType.SpriteImage),function(Xt,hr){Ue=null,de||(de=Xt,K=hr,ft())});function ft(){if(de)J(de);else if(q&&K){var Xt=i.browser.getImageData(K),hr={};for(var qt in q){var Ve=q[qt],Qe=Ve.width,at=Ve.height,Ct=Ve.x,Ot=Ve.y,Rt=Ve.sdf,Bt=Ve.pixelRatio,Dt=Ve.stretchX,yt=Ve.stretchY,Pt=Ve.content,ht=new i.RGBAImage({width:Qe,height:at});i.RGBAImage.copy(Xt,ht,{x:Ct,y:Ot},{x:0,y:0},{width:Qe,height:at}),hr[qt]={data:ht,pixelRatio:Bt,sdf:Rt,stretchX:Dt,stretchY:yt,content:Pt}}J(null,hr)}}return{cancel:function(){we&&(we.cancel(),we=null),Ue&&(Ue.cancel(),Ue=null)}}}function b(Y){var D=Y.userImage;if(D&&D.render){var J=D.render();if(J)return Y.data.replace(new Uint8Array(D.data.buffer)),!0}return!1}var p=1,k=function(Y){function D(){Y.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new i.RGBAImage({width:1,height:1}),this.dirty=!0}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.isLoaded=function(){return this.loaded},D.prototype.setLoaded=function(q){if(this.loaded!==q&&(this.loaded=q,q)){for(var K=0,de=this.requestors;K<de.length;K+=1){var ne=de[K],we=ne.ids,Ue=ne.callback;this._notify(we,Ue)}this.requestors=[]}},D.prototype.getImage=function(q){return this.images[q]},D.prototype.addImage=function(q,K){this._validate(q,K)&&(this.images[q]=K)},D.prototype._validate=function(q,K){var de=!0;return this._validateStretch(K.stretchX,K.data&&K.data.width)||(this.fire(new i.ErrorEvent(new Error('Image \"'+q+'\" has invalid \"stretchX\" value'))),de=!1),this._validateStretch(K.stretchY,K.data&&K.data.height)||(this.fire(new i.ErrorEvent(new Error('Image \"'+q+'\" has invalid \"stretchY\" value'))),de=!1),this._validateContent(K.content,K)||(this.fire(new i.ErrorEvent(new Error('Image \"'+q+'\" has invalid \"content\" value'))),de=!1),de},D.prototype._validateStretch=function(q,K){if(!q)return!0;for(var de=0,ne=0,we=q;ne<we.length;ne+=1){var Ue=we[ne];if(Ue[0]<de||Ue[1]<Ue[0]||K<Ue[1])return!1;de=Ue[1]}return!0},D.prototype._validateContent=function(q,K){return q?!(q.length!==4||q[0]<0||K.data.width<q[0]||q[1]<0||K.data.height<q[1]||q[2]<0||K.data.width<q[2]||q[3]<0||K.data.height<q[3]||q[2]<q[0]||q[3]<q[1]):!0},D.prototype.updateImage=function(q,K){var de=this.images[q];K.version=de.version+1,this.images[q]=K,this.updatedImages[q]=!0},D.prototype.removeImage=function(q){var K=this.images[q];delete this.images[q],delete this.patterns[q],K.userImage&&K.userImage.onRemove&&K.userImage.onRemove()},D.prototype.listImages=function(){return Object.keys(this.images)},D.prototype.getImages=function(q,K){var de=!0;if(!this.isLoaded())for(var ne=0,we=q;ne<we.length;ne+=1){var Ue=we[ne];this.images[Ue]||(de=!1)}this.isLoaded()||de?this._notify(q,K):this.requestors.push({ids:q,callback:K})},D.prototype._notify=function(q,K){for(var de={},ne=0,we=q;ne<we.length;ne+=1){var Ue=we[ne];this.images[Ue]||this.fire(new i.Event(\"styleimagemissing\",{id:Ue}));var ft=this.images[Ue];ft?de[Ue]={data:ft.data.clone(),pixelRatio:ft.pixelRatio,sdf:ft.sdf,version:ft.version,stretchX:ft.stretchX,stretchY:ft.stretchY,content:ft.content,hasRenderCallback:!!(ft.userImage&&ft.userImage.render)}:i.warnOnce('Image \"'+Ue+'\" 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.')}K(null,de)},D.prototype.getPixelSize=function(){var q=this.atlasImage,K=q.width,de=q.height;return{width:K,height:de}},D.prototype.getPattern=function(q){var K=this.patterns[q],de=this.getImage(q);if(!de)return null;if(K&&K.position.version===de.version)return K.position;if(K)K.position.version=de.version;else{var ne=de.data.width+p*2,we=de.data.height+p*2,Ue={w:ne,h:we,x:0,y:0},ft=new i.ImagePosition(Ue,de);this.patterns[q]={bin:Ue,position:ft}}return this._updatePatternAtlas(),this.patterns[q].position},D.prototype.bind=function(q){var K=q.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new i.Texture(q,this.atlasImage,K.RGBA),this.atlasTexture.bind(K.LINEAR,K.CLAMP_TO_EDGE)},D.prototype._updatePatternAtlas=function(){var q=[];for(var K in this.patterns)q.push(this.patterns[K].bin);var de=i.potpack(q),ne=de.w,we=de.h,Ue=this.atlasImage;Ue.resize({width:ne||1,height:we||1});for(var ft in this.patterns){var Xt=this.patterns[ft],hr=Xt.bin,qt=hr.x+p,Ve=hr.y+p,Qe=this.images[ft].data,at=Qe.width,Ct=Qe.height;i.RGBAImage.copy(Qe,Ue,{x:0,y:0},{x:qt,y:Ve},{width:at,height:Ct}),i.RGBAImage.copy(Qe,Ue,{x:0,y:Ct-1},{x:qt,y:Ve-1},{width:at,height:1}),i.RGBAImage.copy(Qe,Ue,{x:0,y:0},{x:qt,y:Ve+Ct},{width:at,height:1}),i.RGBAImage.copy(Qe,Ue,{x:at-1,y:0},{x:qt-1,y:Ve},{width:1,height:Ct}),i.RGBAImage.copy(Qe,Ue,{x:0,y:0},{x:qt+at,y:Ve},{width:1,height:Ct})}this.dirty=!0},D.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},D.prototype.dispatchRenderCallbacks=function(q){for(var K=0,de=q;K<de.length;K+=1){var ne=de[K];if(!this.callbackDispatchedThisFrame[ne]){this.callbackDispatchedThisFrame[ne]=!0;var we=this.images[ne],Ue=b(we);Ue&&this.updateImage(ne,we)}}},D}(i.Evented);function E(Y,D,J,q,K){var de=D*256,ne=de+255,we=q.transformRequest(q.normalizeGlyphsURL(J).replace(\"{fontstack}\",Y).replace(\"{range}\",de+\"-\"+ne),i.ResourceType.Glyphs);i.getArrayBuffer(we,function(Ue,ft){if(Ue)K(Ue);else if(ft){for(var Xt={},hr=0,qt=i.parseGlyphPBF(ft);hr<qt.length;hr+=1){var Ve=qt[hr];Xt[Ve.id]=Ve}K(null,Xt)}})}var S=C,L=C,x=1e20;function C(Y,D,J,q,K,de){this.fontSize=Y||24,this.buffer=D===void 0?3:D,this.cutoff=q||.25,this.fontFamily=K||\"sans-serif\",this.fontWeight=de||\"normal\",this.radius=J||8;var ne=this.size=this.fontSize+this.buffer*2;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=ne,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(ne*ne),this.gridInner=new Float64Array(ne*ne),this.f=new Float64Array(ne),this.d=new Float64Array(ne),this.z=new Float64Array(ne+1),this.v=new Int16Array(ne),this.middle=Math.round(ne/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}C.prototype.draw=function(Y){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(Y,this.buffer,this.middle);for(var D=this.ctx.getImageData(0,0,this.size,this.size),J=new Uint8ClampedArray(this.size*this.size),q=0;q<this.size*this.size;q++){var K=D.data[q*4+3]/255;this.gridOuter[q]=K===1?0:K===0?x:Math.pow(Math.max(0,.5-K),2),this.gridInner[q]=K===1?x:K===0?0:Math.pow(Math.max(0,K-.5),2)}for(M(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),M(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),q=0;q<this.size*this.size;q++){var de=this.gridOuter[q]-this.gridInner[q];J[q]=Math.max(0,Math.min(255,Math.round(255-255*(de/this.radius+this.cutoff))))}return J};function M(Y,D,J,q,K,de,ne){for(var we=0;we<D;we++){for(var Ue=0;Ue<J;Ue++)q[Ue]=Y[Ue*D+we];for(g(q,K,de,ne,J),Ue=0;Ue<J;Ue++)Y[Ue*D+we]=K[Ue]}for(Ue=0;Ue<J;Ue++){for(we=0;we<D;we++)q[we]=Y[Ue*D+we];for(g(q,K,de,ne,D),we=0;we<D;we++)Y[Ue*D+we]=Math.sqrt(K[we])}}function g(Y,D,J,q,K){J[0]=0,q[0]=-x,q[1]=+x;for(var de=1,ne=0;de<K;de++){for(var we=(Y[de]+de*de-(Y[J[ne]]+J[ne]*J[ne]))/(2*de-2*J[ne]);we<=q[ne];)ne--,we=(Y[de]+de*de-(Y[J[ne]]+J[ne]*J[ne]))/(2*de-2*J[ne]);ne++,J[ne]=de,q[ne]=we,q[ne+1]=+x}for(de=0,ne=0;de<K;de++){for(;q[ne+1]<de;)ne++;D[de]=(de-J[ne])*(de-J[ne])+Y[J[ne]]}}S.default=L;var P=function(D,J){this.requestManager=D,this.localIdeographFontFamily=J,this.entries={}};P.prototype.setURL=function(D){this.url=D},P.prototype.getGlyphs=function(D,J){var q=this,K=[];for(var de in D)for(var ne=0,we=D[de];ne<we.length;ne+=1){var Ue=we[ne];K.push({stack:de,id:Ue})}i.asyncAll(K,function(ft,Xt){var hr=ft.stack,qt=ft.id,Ve=q.entries[hr];Ve||(Ve=q.entries[hr]={glyphs:{},requests:{},ranges:{}});var Qe=Ve.glyphs[qt];if(Qe!==void 0){Xt(null,{stack:hr,id:qt,glyph:Qe});return}if(Qe=q._tinySDF(Ve,hr,qt),Qe){Ve.glyphs[qt]=Qe,Xt(null,{stack:hr,id:qt,glyph:Qe});return}var at=Math.floor(qt/256);if(at*256>65535){Xt(new Error(\"glyphs > 65535 not supported\"));return}if(Ve.ranges[at]){Xt(null,{stack:hr,id:qt,glyph:Qe});return}var Ct=Ve.requests[at];Ct||(Ct=Ve.requests[at]=[],P.loadGlyphRange(hr,at,q.url,q.requestManager,function(Ot,Rt){if(Rt){for(var Bt in Rt)q._doesCharSupportLocalGlyph(+Bt)||(Ve.glyphs[+Bt]=Rt[+Bt]);Ve.ranges[at]=!0}for(var Dt=0,yt=Ct;Dt<yt.length;Dt+=1){var Pt=yt[Dt];Pt(Ot,Rt)}delete Ve.requests[at]})),Ct.push(function(Ot,Rt){Ot?Xt(Ot):Rt&&Xt(null,{stack:hr,id:qt,glyph:Rt[qt]||null})})},function(ft,Xt){if(ft)J(ft);else if(Xt){for(var hr={},qt=0,Ve=Xt;qt<Ve.length;qt+=1){var Qe=Ve[qt],at=Qe.stack,Ct=Qe.id,Ot=Qe.glyph;(hr[at]||(hr[at]={}))[Ct]=Ot&&{id:Ot.id,bitmap:Ot.bitmap.clone(),metrics:Ot.metrics}}J(null,hr)}})},P.prototype._doesCharSupportLocalGlyph=function(D){return!!this.localIdeographFontFamily&&(i.isChar[\"CJK Unified Ideographs\"](D)||i.isChar[\"Hangul Syllables\"](D)||i.isChar.Hiragana(D)||i.isChar.Katakana(D))},P.prototype._tinySDF=function(D,J,q){var K=this.localIdeographFontFamily;if(K&&this._doesCharSupportLocalGlyph(q)){var de=D.tinySDF;if(!de){var ne=\"400\";/bold/i.test(J)?ne=\"900\":/medium/i.test(J)?ne=\"500\":/light/i.test(J)&&(ne=\"200\"),de=D.tinySDF=new P.TinySDF(24,3,8,.25,K,ne)}return{id:q,bitmap:new i.AlphaImage({width:30,height:30},de.draw(String.fromCharCode(q))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},P.loadGlyphRange=E,P.TinySDF=S;var T=function(){this.specification=i.styleSpec.light.position};T.prototype.possiblyEvaluate=function(D,J){return i.sphericalToCartesian(D.expression.evaluate(J))},T.prototype.interpolate=function(D,J,q){return{x:i.number(D.x,J.x,q),y:i.number(D.y,J.y,q),z:i.number(D.z,J.z,q)}};var z=new i.Properties({anchor:new i.DataConstantProperty(i.styleSpec.light.anchor),position:new T,color:new i.DataConstantProperty(i.styleSpec.light.color),intensity:new i.DataConstantProperty(i.styleSpec.light.intensity)}),O=\"-transition\",V=function(Y){function D(J){Y.call(this),this._transitionable=new i.Transitionable(z),this.setLight(J),this._transitioning=this._transitionable.untransitioned()}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.getLight=function(){return this._transitionable.serialize()},D.prototype.setLight=function(q,K){if(K===void 0&&(K={}),!this._validate(i.validateLight,q,K))for(var de in q){var ne=q[de];i.endsWith(de,O)?this._transitionable.setTransition(de.slice(0,-O.length),ne):this._transitionable.setValue(de,ne)}},D.prototype.updateTransitions=function(q){this._transitioning=this._transitionable.transitioned(q,this._transitioning)},D.prototype.hasTransition=function(){return this._transitioning.hasTransition()},D.prototype.recalculate=function(q){this.properties=this._transitioning.possiblyEvaluate(q)},D.prototype._validate=function(q,K,de){return de&&de.validate===!1?!1:i.emitValidationErrors(this,q.call(i.validateStyle,i.extend({value:K,style:{glyphs:!0,sprite:!0},styleSpec:i.styleSpec})))},D}(i.Evented),G=function(D,J){this.width=D,this.height=J,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};G.prototype.getDash=function(D,J){var q=D.join(\",\")+String(J);return this.dashEntry[q]||(this.dashEntry[q]=this.addDash(D,J)),this.dashEntry[q]},G.prototype.getDashRanges=function(D,J,q){var K=D.length%2===1,de=[],ne=K?-D[D.length-1]*q:0,we=D[0]*q,Ue=!0;de.push({left:ne,right:we,isDash:Ue,zeroLength:D[0]===0});for(var ft=D[0],Xt=1;Xt<D.length;Xt++){Ue=!Ue;var hr=D[Xt];ne=ft*q,ft+=hr,we=ft*q,de.push({left:ne,right:we,isDash:Ue,zeroLength:hr===0})}return de},G.prototype.addRoundDash=function(D,J,q){for(var K=J/2,de=-q;de<=q;de++)for(var ne=this.nextRow+q+de,we=this.width*ne,Ue=0,ft=D[Ue],Xt=0;Xt<this.width;Xt++){Xt/ft.right>1&&(ft=D[++Ue]);var hr=Math.abs(Xt-ft.left),qt=Math.abs(Xt-ft.right),Ve=Math.min(hr,qt),Qe=void 0,at=de/q*(K+1);if(ft.isDash){var Ct=K-Math.abs(at);Qe=Math.sqrt(Ve*Ve+Ct*Ct)}else Qe=K-Math.sqrt(Ve*Ve+at*at);this.data[we+Xt]=Math.max(0,Math.min(255,Qe+128))}},G.prototype.addRegularDash=function(D){for(var J=D.length-1;J>=0;--J){var q=D[J],K=D[J+1];q.zeroLength?D.splice(J,1):K&&K.isDash===q.isDash&&(K.left=q.left,D.splice(J,1))}var de=D[0],ne=D[D.length-1];de.isDash===ne.isDash&&(de.left=ne.left-this.width,ne.right=de.right+this.width);for(var we=this.width*this.nextRow,Ue=0,ft=D[Ue],Xt=0;Xt<this.width;Xt++){Xt/ft.right>1&&(ft=D[++Ue]);var hr=Math.abs(Xt-ft.left),qt=Math.abs(Xt-ft.right),Ve=Math.min(hr,qt),Qe=ft.isDash?Ve:-Ve;this.data[we+Xt]=Math.max(0,Math.min(255,Qe+128))}},G.prototype.addDash=function(D,J){var q=J?7:0,K=2*q+1;if(this.nextRow+K>this.height)return i.warnOnce(\"LineAtlas out of space\"),null;for(var de=0,ne=0;ne<D.length;ne++)de+=D[ne];if(de!==0){var we=this.width/de,Ue=this.getDashRanges(D,this.width,we);J?this.addRoundDash(Ue,we,q):this.addRegularDash(Ue)}var ft={y:(this.nextRow+q+.5)/this.height,height:2*q/this.height,width:de};return this.nextRow+=K,this.dirty=!0,ft},G.prototype.bind=function(D){var J=D.gl;this.texture?(J.bindTexture(J.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,J.texSubImage2D(J.TEXTURE_2D,0,0,0,this.width,this.height,J.ALPHA,J.UNSIGNED_BYTE,this.data))):(this.texture=J.createTexture(),J.bindTexture(J.TEXTURE_2D,this.texture),J.texParameteri(J.TEXTURE_2D,J.TEXTURE_WRAP_S,J.REPEAT),J.texParameteri(J.TEXTURE_2D,J.TEXTURE_WRAP_T,J.REPEAT),J.texParameteri(J.TEXTURE_2D,J.TEXTURE_MIN_FILTER,J.LINEAR),J.texParameteri(J.TEXTURE_2D,J.TEXTURE_MAG_FILTER,J.LINEAR),J.texImage2D(J.TEXTURE_2D,0,J.ALPHA,this.width,this.height,0,J.ALPHA,J.UNSIGNED_BYTE,this.data))};var Z=function Y(D,J){this.workerPool=D,this.actors=[],this.currentActor=0,this.id=i.uniqueId();for(var q=this.workerPool.acquire(this.id),K=0;K<q.length;K++){var de=q[K],ne=new Y.Actor(de,J,this.id);ne.name=\"Worker \"+K,this.actors.push(ne)}};Z.prototype.broadcast=function(D,J,q){q=q||function(){},i.asyncAll(this.actors,function(K,de){K.send(D,J,de)},q)},Z.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},Z.prototype.remove=function(){this.actors.forEach(function(D){D.remove()}),this.actors=[],this.workerPool.release(this.id)},Z.Actor=i.Actor;function j(Y,D,J){var q=function(K,de){if(K)return J(K);if(de){var ne=i.pick(i.extend(de,Y),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);de.vector_layers&&(ne.vectorLayers=de.vector_layers,ne.vectorLayerIds=ne.vectorLayers.map(function(we){return we.id})),ne.tiles=D.canonicalizeTileset(ne,Y.url),J(null,ne)}};return Y.url?i.getJSON(D.transformRequest(D.normalizeSourceURL(Y.url),i.ResourceType.Source),q):i.browser.frame(function(){return q(null,Y)})}var N=function(D,J,q){this.bounds=i.LngLatBounds.convert(this.validateBounds(D)),this.minzoom=J||0,this.maxzoom=q||24};N.prototype.validateBounds=function(D){return!Array.isArray(D)||D.length!==4?[-180,-90,180,90]:[Math.max(-180,D[0]),Math.max(-90,D[1]),Math.min(180,D[2]),Math.min(90,D[3])]},N.prototype.contains=function(D){var J=Math.pow(2,D.z),q={minX:Math.floor(i.mercatorXfromLng(this.bounds.getWest())*J),minY:Math.floor(i.mercatorYfromLat(this.bounds.getNorth())*J),maxX:Math.ceil(i.mercatorXfromLng(this.bounds.getEast())*J),maxY:Math.ceil(i.mercatorYfromLat(this.bounds.getSouth())*J)},K=D.x>=q.minX&&D.x<q.maxX&&D.y>=q.minY&&D.y<q.maxY;return K};var H=function(Y){function D(J,q,K,de){if(Y.call(this),this.id=J,this.dispatcher=K,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,i.extend(this,i.pick(q,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=i.extend({type:\"vector\"},q),this._collectResourceTiming=q.collectResourceTiming,this.tileSize!==512)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(de)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.load=function(){var q=this;this._loaded=!1,this.fire(new i.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=j(this._options,this.map._requestManager,function(K,de){q._tileJSONRequest=null,q._loaded=!0,K?q.fire(new i.ErrorEvent(K)):de&&(i.extend(q,de),de.bounds&&(q.tileBounds=new N(de.bounds,q.minzoom,q.maxzoom)),i.postTurnstileEvent(de.tiles,q.map._requestManager._customAccessToken),i.postMapLoadEvent(de.tiles,q.map._getMapId(),q.map._requestManager._skuToken,q.map._requestManager._customAccessToken),q.fire(new i.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),q.fire(new i.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))})},D.prototype.loaded=function(){return this._loaded},D.prototype.hasTile=function(q){return!this.tileBounds||this.tileBounds.contains(q.canonical)},D.prototype.onAdd=function(q){this.map=q,this.load()},D.prototype.setSourceProperty=function(q){this._tileJSONRequest&&this._tileJSONRequest.cancel(),q();var K=this.map.style.sourceCaches[this.id];K.clearTiles(),this.load()},D.prototype.setTiles=function(q){var K=this;return this.setSourceProperty(function(){K._options.tiles=q}),this},D.prototype.setUrl=function(q){var K=this;return this.setSourceProperty(function(){K.url=q,K._options.url=q}),this},D.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},D.prototype.serialize=function(){return i.extend({},this._options)},D.prototype.loadTile=function(q,K){var de=this.map._requestManager.normalizeTileURL(q.tileID.canonical.url(this.tiles,this.scheme)),ne={request:this.map._requestManager.transformRequest(de,i.ResourceType.Tile),uid:q.uid,tileID:q.tileID,zoom:q.tileID.overscaledZ,tileSize:this.tileSize*q.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:i.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};ne.request.collectResourceTiming=this._collectResourceTiming,!q.actor||q.state===\"expired\"?(q.actor=this.dispatcher.getActor(),q.request=q.actor.send(\"loadTile\",ne,we.bind(this))):q.state===\"loading\"?q.reloadCallback=K:q.request=q.actor.send(\"reloadTile\",ne,we.bind(this));function we(Ue,ft){if(delete q.request,q.aborted)return K(null);if(Ue&&Ue.status!==404)return K(Ue);ft&&ft.resourceTiming&&(q.resourceTiming=ft.resourceTiming),this.map._refreshExpiredTiles&&ft&&q.setExpiryData(ft),q.loadVectorData(ft,this.map.painter),i.cacheEntryPossiblyAdded(this.dispatcher),K(null),q.reloadCallback&&(this.loadTile(q,q.reloadCallback),q.reloadCallback=null)}},D.prototype.abortTile=function(q){q.request&&(q.request.cancel(),delete q.request),q.actor&&q.actor.send(\"abortTile\",{uid:q.uid,type:this.type,source:this.id},void 0)},D.prototype.unloadTile=function(q){q.unloadVectorData(),q.actor&&q.actor.send(\"removeTile\",{uid:q.uid,type:this.type,source:this.id},void 0)},D.prototype.hasTransition=function(){return!1},D}(i.Evented),te=function(Y){function D(J,q,K,de){Y.call(this),this.id=J,this.dispatcher=K,this.setEventedParent(de),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=i.extend({type:\"raster\"},q),i.extend(this,i.pick(q,[\"url\",\"scheme\",\"tileSize\"]))}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.load=function(){var q=this;this._loaded=!1,this.fire(new i.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=j(this._options,this.map._requestManager,function(K,de){q._tileJSONRequest=null,q._loaded=!0,K?q.fire(new i.ErrorEvent(K)):de&&(i.extend(q,de),de.bounds&&(q.tileBounds=new N(de.bounds,q.minzoom,q.maxzoom)),i.postTurnstileEvent(de.tiles),i.postMapLoadEvent(de.tiles,q.map._getMapId(),q.map._requestManager._skuToken),q.fire(new i.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),q.fire(new i.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))})},D.prototype.loaded=function(){return this._loaded},D.prototype.onAdd=function(q){this.map=q,this.load()},D.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},D.prototype.serialize=function(){return i.extend({},this._options)},D.prototype.hasTile=function(q){return!this.tileBounds||this.tileBounds.contains(q.canonical)},D.prototype.loadTile=function(q,K){var de=this,ne=this.map._requestManager.normalizeTileURL(q.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);q.request=i.getImage(this.map._requestManager.transformRequest(ne,i.ResourceType.Tile),function(we,Ue){if(delete q.request,q.aborted)q.state=\"unloaded\",K(null);else if(we)q.state=\"errored\",K(we);else if(Ue){de.map._refreshExpiredTiles&&q.setExpiryData(Ue),delete Ue.cacheControl,delete Ue.expires;var ft=de.map.painter.context,Xt=ft.gl;q.texture=de.map.painter.getTileTexture(Ue.width),q.texture?q.texture.update(Ue,{useMipmap:!0}):(q.texture=new i.Texture(ft,Ue,Xt.RGBA,{useMipmap:!0}),q.texture.bind(Xt.LINEAR,Xt.CLAMP_TO_EDGE,Xt.LINEAR_MIPMAP_NEAREST),ft.extTextureFilterAnisotropic&&Xt.texParameterf(Xt.TEXTURE_2D,ft.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,ft.extTextureFilterAnisotropicMax)),q.state=\"loaded\",i.cacheEntryPossiblyAdded(de.dispatcher),K(null)}})},D.prototype.abortTile=function(q,K){q.request&&(q.request.cancel(),delete q.request),K()},D.prototype.unloadTile=function(q,K){q.texture&&this.map.painter.saveTileTexture(q.texture),K()},D.prototype.hasTransition=function(){return!1},D}(i.Evented),oe=function(Y){function D(J,q,K,de){Y.call(this,J,q,K,de),this.type=\"raster-dem\",this.maxzoom=22,this._options=i.extend({type:\"raster-dem\"},q),this.encoding=q.encoding||\"mapbox\"}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},D.prototype.loadTile=function(q,K){var de=this.map._requestManager.normalizeTileURL(q.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);q.request=i.getImage(this.map._requestManager.transformRequest(de,i.ResourceType.Tile),ne.bind(this)),q.neighboringTiles=this._getNeighboringTiles(q.tileID);function ne(Ue,ft){if(delete q.request,q.aborted)q.state=\"unloaded\",K(null);else if(Ue)q.state=\"errored\",K(Ue);else if(ft){this.map._refreshExpiredTiles&&q.setExpiryData(ft),delete ft.cacheControl,delete ft.expires;var Xt=i.window.ImageBitmap&&ft instanceof i.window.ImageBitmap&&i.offscreenCanvasSupported(),hr=Xt?ft:i.browser.getImageData(ft,1),qt={uid:q.uid,coord:q.tileID,source:this.id,rawImageData:hr,encoding:this.encoding};(!q.actor||q.state===\"expired\")&&(q.actor=this.dispatcher.getActor(),q.actor.send(\"loadDEMTile\",qt,we.bind(this)))}}function we(Ue,ft){Ue&&(q.state=\"errored\",K(Ue)),ft&&(q.dem=ft,q.needsHillshadePrepare=!0,q.state=\"loaded\",K(null))}},D.prototype._getNeighboringTiles=function(q){var K=q.canonical,de=Math.pow(2,K.z),ne=(K.x-1+de)%de,we=K.x===0?q.wrap-1:q.wrap,Ue=(K.x+1+de)%de,ft=K.x+1===de?q.wrap+1:q.wrap,Xt={};return Xt[new i.OverscaledTileID(q.overscaledZ,we,K.z,ne,K.y).key]={backfilled:!1},Xt[new i.OverscaledTileID(q.overscaledZ,ft,K.z,Ue,K.y).key]={backfilled:!1},K.y>0&&(Xt[new i.OverscaledTileID(q.overscaledZ,we,K.z,ne,K.y-1).key]={backfilled:!1},Xt[new i.OverscaledTileID(q.overscaledZ,q.wrap,K.z,K.x,K.y-1).key]={backfilled:!1},Xt[new i.OverscaledTileID(q.overscaledZ,ft,K.z,Ue,K.y-1).key]={backfilled:!1}),K.y+1<de&&(Xt[new i.OverscaledTileID(q.overscaledZ,we,K.z,ne,K.y+1).key]={backfilled:!1},Xt[new i.OverscaledTileID(q.overscaledZ,q.wrap,K.z,K.x,K.y+1).key]={backfilled:!1},Xt[new i.OverscaledTileID(q.overscaledZ,ft,K.z,Ue,K.y+1).key]={backfilled:!1}),Xt},D.prototype.unloadTile=function(q){q.demTexture&&this.map.painter.saveTileTexture(q.demTexture),q.fbo&&(q.fbo.destroy(),delete q.fbo),q.dem&&delete q.dem,delete q.neighboringTiles,q.state=\"unloaded\",q.actor&&q.actor.send(\"removeDEMTile\",{uid:q.uid,source:this.id})},D}(te),_e=function(Y){function D(J,q,K,de){Y.call(this),this.id=J,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=K.getActor(),this.setEventedParent(de),this._data=q.data,this._options=i.extend({},q),this._collectResourceTiming=q.collectResourceTiming,this._resourceTiming=[],q.maxzoom!==void 0&&(this.maxzoom=q.maxzoom),q.type&&(this.type=q.type),q.attribution&&(this.attribution=q.attribution),this.promoteId=q.promoteId;var ne=i.EXTENT/this.tileSize;this.workerOptions=i.extend({source:this.id,cluster:q.cluster||!1,geojsonVtOptions:{buffer:(q.buffer!==void 0?q.buffer:128)*ne,tolerance:(q.tolerance!==void 0?q.tolerance:.375)*ne,extent:i.EXTENT,maxZoom:this.maxzoom,lineMetrics:q.lineMetrics||!1,generateId:q.generateId||!1},superclusterOptions:{maxZoom:q.clusterMaxZoom!==void 0?Math.min(q.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,minPoints:Math.max(2,q.clusterMinPoints||2),extent:i.EXTENT,radius:(q.clusterRadius||50)*ne,log:!1,generateId:q.generateId||!1},clusterProperties:q.clusterProperties,filter:q.filter},q.workerOptions)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.load=function(){var q=this;this.fire(new i.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData(function(K){if(K){q.fire(new i.ErrorEvent(K));return}var de={dataType:\"source\",sourceDataType:\"metadata\"};q._collectResourceTiming&&q._resourceTiming&&q._resourceTiming.length>0&&(de.resourceTiming=q._resourceTiming,q._resourceTiming=[]),q.fire(new i.Event(\"data\",de))})},D.prototype.onAdd=function(q){this.map=q,this.load()},D.prototype.setData=function(q){var K=this;return this._data=q,this.fire(new i.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData(function(de){if(de){K.fire(new i.ErrorEvent(de));return}var ne={dataType:\"source\",sourceDataType:\"content\"};K._collectResourceTiming&&K._resourceTiming&&K._resourceTiming.length>0&&(ne.resourceTiming=K._resourceTiming,K._resourceTiming=[]),K.fire(new i.Event(\"data\",ne))}),this},D.prototype.getClusterExpansionZoom=function(q,K){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:q,source:this.id},K),this},D.prototype.getClusterChildren=function(q,K){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:q,source:this.id},K),this},D.prototype.getClusterLeaves=function(q,K,de,ne){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:q,limit:K,offset:de},ne),this},D.prototype._updateWorkerData=function(q){var K=this;this._loaded=!1;var de=i.extend({},this.workerOptions),ne=this._data;typeof ne==\"string\"?(de.request=this.map._requestManager.transformRequest(i.browser.resolveURL(ne),i.ResourceType.Source),de.request.collectResourceTiming=this._collectResourceTiming):de.data=JSON.stringify(ne),this.actor.send(this.type+\".loadData\",de,function(we,Ue){K._removed||Ue&&Ue.abandoned||(K._loaded=!0,Ue&&Ue.resourceTiming&&Ue.resourceTiming[K.id]&&(K._resourceTiming=Ue.resourceTiming[K.id].slice(0)),K.actor.send(K.type+\".coalesce\",{source:de.source},null),q(we))})},D.prototype.loaded=function(){return this._loaded},D.prototype.loadTile=function(q,K){var de=this,ne=q.actor?\"reloadTile\":\"loadTile\";q.actor=this.actor;var we={type:this.type,uid:q.uid,tileID:q.tileID,zoom:q.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:i.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};q.request=this.actor.send(ne,we,function(Ue,ft){return delete q.request,q.unloadVectorData(),q.aborted?K(null):Ue?K(Ue):(q.loadVectorData(ft,de.map.painter,ne===\"reloadTile\"),K(null))})},D.prototype.abortTile=function(q){q.request&&(q.request.cancel(),delete q.request),q.aborted=!0},D.prototype.unloadTile=function(q){q.unloadVectorData(),this.actor.send(\"removeTile\",{uid:q.uid,type:this.type,source:this.id})},D.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},D.prototype.serialize=function(){return i.extend({},this._options,{type:this.type,data:this._data})},D.prototype.hasTransition=function(){return!1},D}(i.Evented),Ee=i.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),Ce=function(Y){function D(J,q,K,de){Y.call(this),this.id=J,this.dispatcher=K,this.coordinates=q.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(de),this.options=q}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.load=function(q,K){var de=this;this._loaded=!1,this.fire(new i.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,i.getImage(this.map._requestManager.transformRequest(this.url,i.ResourceType.Image),function(ne,we){de._loaded=!0,ne?de.fire(new i.ErrorEvent(ne)):we&&(de.image=we,q&&(de.coordinates=q),K&&K(),de._finishLoading())})},D.prototype.loaded=function(){return this._loaded},D.prototype.updateImage=function(q){var K=this;return!this.image||!q.url?this:(this.options.url=q.url,this.load(q.coordinates,function(){K.texture=null}),this)},D.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new i.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},D.prototype.onAdd=function(q){this.map=q,this.load()},D.prototype.setCoordinates=function(q){var K=this;this.coordinates=q;var de=q.map(i.MercatorCoordinate.fromLngLat);this.tileID=me(de),this.minzoom=this.maxzoom=this.tileID.z;var ne=de.map(function(we){return K.tileID.getTilePoint(we)._round()});return this._boundsArray=new i.StructArrayLayout4i8,this._boundsArray.emplaceBack(ne[0].x,ne[0].y,0,0),this._boundsArray.emplaceBack(ne[1].x,ne[1].y,i.EXTENT,0),this._boundsArray.emplaceBack(ne[3].x,ne[3].y,0,i.EXTENT),this._boundsArray.emplaceBack(ne[2].x,ne[2].y,i.EXTENT,i.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new i.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},D.prototype.prepare=function(){if(!(Object.keys(this.tiles).length===0||!this.image)){var q=this.map.painter.context,K=q.gl;this.boundsBuffer||(this.boundsBuffer=q.createVertexBuffer(this._boundsArray,Ee.members)),this.boundsSegments||(this.boundsSegments=i.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new i.Texture(q,this.image,K.RGBA),this.texture.bind(K.LINEAR,K.CLAMP_TO_EDGE));for(var de in this.tiles){var ne=this.tiles[de];ne.state!==\"loaded\"&&(ne.state=\"loaded\",ne.texture=this.texture)}}},D.prototype.loadTile=function(q,K){this.tileID&&this.tileID.equals(q.tileID.canonical)?(this.tiles[String(q.tileID.wrap)]=q,q.buckets={},K(null)):(q.state=\"errored\",K(null))},D.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},D.prototype.hasTransition=function(){return!1},D}(i.Evented);function me(Y){for(var D=1/0,J=1/0,q=-1/0,K=-1/0,de=0,ne=Y;de<ne.length;de+=1){var we=ne[de];D=Math.min(D,we.x),J=Math.min(J,we.y),q=Math.max(q,we.x),K=Math.max(K,we.y)}var Ue=q-D,ft=K-J,Xt=Math.max(Ue,ft),hr=Math.max(0,Math.floor(-Math.log(Xt)/Math.LN2)),qt=Math.pow(2,hr);return new i.CanonicalTileID(hr,Math.floor((D+q)/2*qt),Math.floor((J+K)/2*qt))}var ie=function(Y){function D(J,q,K,de){Y.call(this,J,q,K,de),this.roundZoom=!0,this.type=\"video\",this.options=q}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.load=function(){var q=this;this._loaded=!1;var K=this.options;this.urls=[];for(var de=0,ne=K.urls;de<ne.length;de+=1){var we=ne[de];this.urls.push(this.map._requestManager.transformRequest(we,i.ResourceType.Source).url)}i.getVideo(this.urls,function(Ue,ft){q._loaded=!0,Ue?q.fire(new i.ErrorEvent(Ue)):ft&&(q.video=ft,q.video.loop=!0,q.video.addEventListener(\"playing\",function(){q.map.triggerRepaint()}),q.map&&q.video.play(),q._finishLoading())})},D.prototype.pause=function(){this.video&&this.video.pause()},D.prototype.play=function(){this.video&&this.video.play()},D.prototype.seek=function(q){if(this.video){var K=this.video.seekable;q<K.start(0)||q>K.end(0)?this.fire(new i.ErrorEvent(new i.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+K.start(0)+\" and \"+K.end(0)+\"-second mark.\"))):this.video.currentTime=q}},D.prototype.getVideo=function(){return this.video},D.prototype.onAdd=function(q){this.map||(this.map=q,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},D.prototype.prepare=function(){if(!(Object.keys(this.tiles).length===0||this.video.readyState<2)){var q=this.map.painter.context,K=q.gl;this.boundsBuffer||(this.boundsBuffer=q.createVertexBuffer(this._boundsArray,Ee.members)),this.boundsSegments||(this.boundsSegments=i.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(K.LINEAR,K.CLAMP_TO_EDGE),K.texSubImage2D(K.TEXTURE_2D,0,0,0,K.RGBA,K.UNSIGNED_BYTE,this.video)):(this.texture=new i.Texture(q,this.video,K.RGBA),this.texture.bind(K.LINEAR,K.CLAMP_TO_EDGE));for(var de in this.tiles){var ne=this.tiles[de];ne.state!==\"loaded\"&&(ne.state=\"loaded\",ne.texture=this.texture)}}},D.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},D.prototype.hasTransition=function(){return this.video&&!this.video.paused},D}(Ce),Se=function(Y){function D(J,q,K,de){Y.call(this,J,q,K,de),q.coordinates?(!Array.isArray(q.coordinates)||q.coordinates.length!==4||q.coordinates.some(function(ne){return!Array.isArray(ne)||ne.length!==2||ne.some(function(we){return typeof we!=\"number\"})}))&&this.fire(new i.ErrorEvent(new i.ValidationError(\"sources.\"+J,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new i.ErrorEvent(new i.ValidationError(\"sources.\"+J,null,'missing required property \"coordinates\"'))),q.animate&&typeof q.animate!=\"boolean\"&&this.fire(new i.ErrorEvent(new i.ValidationError(\"sources.\"+J,null,'optional \"animate\" property must be a boolean value'))),q.canvas?typeof q.canvas!=\"string\"&&!(q.canvas instanceof i.window.HTMLCanvasElement)&&this.fire(new i.ErrorEvent(new i.ValidationError(\"sources.\"+J,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 i.ErrorEvent(new i.ValidationError(\"sources.\"+J,null,'missing required property \"canvas\"'))),this.options=q,this.animate=q.animate!==void 0?q.animate:!0}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.load=function(){if(this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof i.window.HTMLCanvasElement?this.options.canvas:i.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()){this.fire(new i.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\")));return}this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading()},D.prototype.getCanvas=function(){return this.canvas},D.prototype.onAdd=function(q){this.map=q,this.load(),this.canvas&&this.animate&&this.play()},D.prototype.onRemove=function(){this.pause()},D.prototype.prepare=function(){var q=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,q=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,q=!0),!this._hasInvalidDimensions()&&Object.keys(this.tiles).length!==0){var K=this.map.painter.context,de=K.gl;this.boundsBuffer||(this.boundsBuffer=K.createVertexBuffer(this._boundsArray,Ee.members)),this.boundsSegments||(this.boundsSegments=i.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(q||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new i.Texture(K,this.canvas,de.RGBA,{premultiply:!0});for(var ne in this.tiles){var we=this.tiles[ne];we.state!==\"loaded\"&&(we.state=\"loaded\",we.texture=this.texture)}}},D.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},D.prototype.hasTransition=function(){return this._playing},D.prototype._hasInvalidDimensions=function(){for(var q=0,K=[this.canvas.width,this.canvas.height];q<K.length;q+=1){var de=K[q];if(isNaN(de)||de<=0)return!0}return!1},D}(Ce),Le={vector:H,raster:te,\"raster-dem\":oe,geojson:_e,video:ie,image:Ce,canvas:Se},Ae=function(Y,D,J,q){var K=new Le[D.type](Y,D,J,q);if(K.id!==Y)throw new Error(\"Expected Source id to be \"+Y+\" instead of \"+K.id);return i.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],K),K},Fe=function(Y){return Le[Y]},Pe=function(Y,D){Le[Y]=D};function ge(Y,D){var J=i.identity([]);return i.translate(J,J,[1,1,0]),i.scale(J,J,[Y.width*.5,Y.height*.5,1]),i.multiply(J,J,Y.calculatePosMatrix(D.toUnwrapped()))}function Re(Y,D,J){if(Y)for(var q=0,K=Y;q<K.length;q+=1){var de=K[q],ne=D[de];if(ne&&ne.source===J&&ne.type===\"fill-extrusion\")return!0}else for(var we in D){var Ue=D[we];if(Ue.source===J&&Ue.type===\"fill-extrusion\")return!0}return!1}function ce(Y,D,J,q,K,de){var ne=Re(K&&K.layers,D,Y.id),we=de.maxPitchScaleFactor(),Ue=Y.tilesIn(q,we,ne);Ue.sort(pt);for(var ft=[],Xt=0,hr=Ue;Xt<hr.length;Xt+=1){var qt=hr[Xt];ft.push({wrappedTileID:qt.tileID.wrapped().key,queryResults:qt.tile.queryRenderedFeatures(D,J,Y._state,qt.queryGeometry,qt.cameraQueryGeometry,qt.scale,K,de,we,ge(Y.transform,qt.tileID))})}var Ve=Zt(ft);for(var Qe in Ve)Ve[Qe].forEach(function(at){var Ct=at.feature,Ot=Y.getFeatureState(Ct.layer[\"source-layer\"],Ct.id);Ct.source=Ct.layer.source,Ct.layer[\"source-layer\"]&&(Ct.sourceLayer=Ct.layer[\"source-layer\"]),Ct.state=Ot});return Ve}function Ze(Y,D,J,q,K,de,ne){for(var we={},Ue=de.queryRenderedSymbols(q),ft=[],Xt=0,hr=Object.keys(Ue).map(Number);Xt<hr.length;Xt+=1){var qt=hr[Xt];ft.push(ne[qt])}ft.sort(pt);for(var Ve=function(){var Rt=at[Qe],Bt=Rt.featureIndex.lookupSymbolFeatures(Ue[Rt.bucketInstanceId],D,Rt.bucketIndex,Rt.sourceLayerIndex,K.filter,K.layers,K.availableImages,Y);for(var Dt in Bt){var yt=we[Dt]=we[Dt]||[],Pt=Bt[Dt];Pt.sort(function(Ur,Di){var fi=Rt.featureSortOrder;if(fi){var Ti=fi.indexOf(Ur.featureIndex),gn=fi.indexOf(Di.featureIndex);return gn-Ti}else return Di.featureIndex-Ur.featureIndex});for(var ht=0,ur=Pt;ht<ur.length;ht+=1){var br=ur[ht];yt.push(br)}}},Qe=0,at=ft;Qe<at.length;Qe+=1)Ve();var Ct=function(Rt){we[Rt].forEach(function(Bt){var Dt=Bt.feature,yt=Y[Rt],Pt=J[yt.source],ht=Pt.getFeatureState(Dt.layer[\"source-layer\"],Dt.id);Dt.source=Dt.layer.source,Dt.layer[\"source-layer\"]&&(Dt.sourceLayer=Dt.layer[\"source-layer\"]),Dt.state=ht})};for(var Ot in we)Ct(Ot);return we}function ut(Y,D){for(var J=Y.getRenderableIds().map(function(Ue){return Y.getTileByID(Ue)}),q=[],K={},de=0;de<J.length;de++){var ne=J[de],we=ne.tileID.canonical.key;K[we]||(K[we]=!0,ne.querySourceFeatures(q,D))}return q}function pt(Y,D){var J=Y.tileID,q=D.tileID;return J.overscaledZ-q.overscaledZ||J.canonical.y-q.canonical.y||J.wrap-q.wrap||J.canonical.x-q.canonical.x}function Zt(Y){for(var D={},J={},q=0,K=Y;q<K.length;q+=1){var de=K[q],ne=de.queryResults,we=de.wrappedTileID,Ue=J[we]=J[we]||{};for(var ft in ne)for(var Xt=ne[ft],hr=Ue[ft]=Ue[ft]||{},qt=D[ft]=D[ft]||[],Ve=0,Qe=Xt;Ve<Qe.length;Ve+=1){var at=Qe[Ve];hr[at.featureIndex]||(hr[at.featureIndex]=!0,qt.push(at))}}return D}var st=function(D,J){this.max=D,this.onRemove=J,this.reset()};st.prototype.reset=function(){for(var D in this.data)for(var J=0,q=this.data[D];J<q.length;J+=1){var K=q[J];K.timeout&&clearTimeout(K.timeout),this.onRemove(K.value)}return this.data={},this.order=[],this},st.prototype.add=function(D,J,q){var K=this,de=D.wrapped().key;this.data[de]===void 0&&(this.data[de]=[]);var ne={value:J,timeout:void 0};if(q!==void 0&&(ne.timeout=setTimeout(function(){K.remove(D,ne)},q)),this.data[de].push(ne),this.order.push(de),this.order.length>this.max){var we=this._getAndRemoveByKey(this.order[0]);we&&this.onRemove(we)}return this},st.prototype.has=function(D){return D.wrapped().key in this.data},st.prototype.getAndRemove=function(D){return this.has(D)?this._getAndRemoveByKey(D.wrapped().key):null},st.prototype._getAndRemoveByKey=function(D){var J=this.data[D].shift();return J.timeout&&clearTimeout(J.timeout),this.data[D].length===0&&delete this.data[D],this.order.splice(this.order.indexOf(D),1),J.value},st.prototype.getByKey=function(D){var J=this.data[D];return J?J[0].value:null},st.prototype.get=function(D){if(!this.has(D))return null;var J=this.data[D.wrapped().key][0];return J.value},st.prototype.remove=function(D,J){if(!this.has(D))return this;var q=D.wrapped().key,K=J===void 0?0:this.data[q].indexOf(J),de=this.data[q][K];return this.data[q].splice(K,1),de.timeout&&clearTimeout(de.timeout),this.data[q].length===0&&delete this.data[q],this.onRemove(de.value),this.order.splice(this.order.indexOf(q),1),this},st.prototype.setMaxSize=function(D){for(this.max=D;this.order.length>this.max;){var J=this._getAndRemoveByKey(this.order[0]);J&&this.onRemove(J)}return this},st.prototype.filter=function(D){var J=[];for(var q in this.data)for(var K=0,de=this.data[q];K<de.length;K+=1){var ne=de[K];D(ne.value)||J.push(ne)}for(var we=0,Ue=J;we<Ue.length;we+=1){var ft=Ue[we];this.remove(ft.value.tileID,ft)}};var lt=function(D,J,q){this.context=D;var K=D.gl;this.buffer=K.createBuffer(),this.dynamicDraw=!!q,this.context.unbindVAO(),D.bindElementBuffer.set(this.buffer),K.bufferData(K.ELEMENT_ARRAY_BUFFER,J.arrayBuffer,this.dynamicDraw?K.DYNAMIC_DRAW:K.STATIC_DRAW),this.dynamicDraw||delete J.arrayBuffer};lt.prototype.bind=function(){this.context.bindElementBuffer.set(this.buffer)},lt.prototype.updateData=function(D){var J=this.context.gl;this.context.unbindVAO(),this.bind(),J.bufferSubData(J.ELEMENT_ARRAY_BUFFER,0,D.arrayBuffer)},lt.prototype.destroy=function(){var D=this.context.gl;this.buffer&&(D.deleteBuffer(this.buffer),delete this.buffer)};var 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ii(this),this.extTextureFilterAnisotropic=D.getExtension(\"EXT_texture_filter_anisotropic\")||D.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||D.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=D.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=D.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(D.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=D.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=D.getExtension(\"EXT_disjoint_timer_query\"),this.maxTextureSize=D.getParameter(D.MAX_TEXTURE_SIZE)};Xr.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()},Xr.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},Xr.prototype.createIndexBuffer=function(D,J){return new lt(this,D,J)},Xr.prototype.createVertexBuffer=function(D,J,q){return new Nt(this,D,J,q)},Xr.prototype.createRenderbuffer=function(D,J,q){var K=this.gl,de=K.createRenderbuffer();return this.bindRenderbuffer.set(de),K.renderbufferStorage(K.RENDERBUFFER,D,J,q),this.bindRenderbuffer.set(null),de},Xr.prototype.createFramebuffer=function(D,J,q){return new ji(this,D,J,q)},Xr.prototype.clear=function(D){var J=D.color,q=D.depth,K=this.gl,de=0;J&&(de|=K.COLOR_BUFFER_BIT,this.clearColor.set(J),this.colorMask.set([!0,!0,!0,!0])),typeof q!=\"undefined\"&&(de|=K.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(q),this.depthMask.set(!0)),K.clear(de)},Xr.prototype.setCullFace=function(D){D.enable===!1?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(D.mode),this.frontFace.set(D.frontFace))},Xr.prototype.setDepthMode=function(D){D.func===this.gl.ALWAYS&&!D.mask?this.depthTest.set(!1):(this.depthTest.set(!0),this.depthFunc.set(D.func),this.depthMask.set(D.mask),this.depthRange.set(D.range))},Xr.prototype.setStencilMode=function(D){D.test.func===this.gl.ALWAYS&&!D.mask?this.stencilTest.set(!1):(this.stencilTest.set(!0),this.stencilMask.set(D.mask),this.stencilOp.set([D.fail,D.depthFail,D.pass]),this.stencilFunc.set({func:D.test.func,ref:D.ref,mask:D.test.mask}))},Xr.prototype.setColorMode=function(D){i.deepEqual(D.blendFunction,wt.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(D.blendFunction),this.blendColor.set(D.blendColor)),this.colorMask.set(D.mask)},Xr.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var ri=function(Y){function D(J,q,K){var de=this;Y.call(this),this.id=J,this.dispatcher=K,this.on(\"data\",function(ne){ne.dataType===\"source\"&&ne.sourceDataType===\"metadata\"&&(de._sourceLoaded=!0),de._sourceLoaded&&!de._paused&&ne.dataType===\"source\"&&ne.sourceDataType===\"content\"&&(de.reload(),de.transform&&de.update(de.transform))}),this.on(\"error\",function(){de._sourceErrored=!0}),this._source=Ae(J,q,K,this),this._tiles={},this._cache=new st(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new i.SourceFeatureState}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.onAdd=function(q){this.map=q,this._maxTileCacheSize=q?q._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(q)},D.prototype.onRemove=function(q){this._source&&this._source.onRemove&&this._source.onRemove(q)},D.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded||!this._source.loaded())return!1;for(var q in this._tiles){var K=this._tiles[q];if(K.state!==\"loaded\"&&K.state!==\"errored\")return!1}return!0},D.prototype.getSource=function(){return this._source},D.prototype.pause=function(){this._paused=!0},D.prototype.resume=function(){if(this._paused){var q=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,q&&this.reload(),this.transform&&this.update(this.transform)}},D.prototype._loadTile=function(q,K){return this._source.loadTile(q,K)},D.prototype._unloadTile=function(q){if(this._source.unloadTile)return this._source.unloadTile(q,function(){})},D.prototype._abortTile=function(q){if(this._source.abortTile)return this._source.abortTile(q,function(){})},D.prototype.serialize=function(){return this._source.serialize()},D.prototype.prepare=function(q){this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null);for(var K in this._tiles){var de=this._tiles[K];de.upload(q),de.prepare(this.map.style.imageManager)}},D.prototype.getIds=function(){return i.values(this._tiles).map(function(q){return q.tileID}).sort(Qr).map(function(q){return q.key})},D.prototype.getRenderableIds=function(q){var K=this,de=[];for(var ne in this._tiles)this._isIdRenderable(ne,q)&&de.push(this._tiles[ne]);return q?de.sort(function(we,Ue){var ft=we.tileID,Xt=Ue.tileID,hr=new i.Point(ft.canonical.x,ft.canonical.y)._rotate(K.transform.angle),qt=new i.Point(Xt.canonical.x,Xt.canonical.y)._rotate(K.transform.angle);return ft.overscaledZ-Xt.overscaledZ||qt.y-hr.y||qt.x-hr.x}).map(function(we){return we.tileID.key}):de.map(function(we){return we.tileID}).sort(Qr).map(function(we){return we.key})},D.prototype.hasRenderableParent=function(q){var K=this.findLoadedParent(q,0);return K?this._isIdRenderable(K.tileID.key):!1},D.prototype._isIdRenderable=function(q,K){return this._tiles[q]&&this._tiles[q].hasData()&&!this._coveredTiles[q]&&(K||!this._tiles[q].holdingForFade())},D.prototype.reload=function(){if(this._paused){this._shouldReloadOnResume=!0;return}this._cache.reset();for(var q in this._tiles)this._tiles[q].state!==\"errored\"&&this._reloadTile(q,\"reloading\")},D.prototype._reloadTile=function(q,K){var de=this._tiles[q];de&&(de.state!==\"loading\"&&(de.state=K),this._loadTile(de,this._tileLoaded.bind(this,de,q,K)))},D.prototype._tileLoaded=function(q,K,de,ne){if(ne){q.state=\"errored\",ne.status!==404?this._source.fire(new i.ErrorEvent(ne,{tile:q})):this.update(this.transform);return}q.timeAdded=i.browser.now(),de===\"expired\"&&(q.refreshedUponExpiration=!0),this._setTileReloadTimer(K,q),this.getSource().type===\"raster-dem\"&&q.dem&&this._backfillDEM(q),this._state.initializeTileState(q,this.map?this.map.painter:null),this._source.fire(new i.Event(\"data\",{dataType:\"source\",tile:q,coord:q.tileID}))},D.prototype._backfillDEM=function(q){for(var K=this.getRenderableIds(),de=0;de<K.length;de++){var ne=K[de];if(q.neighboringTiles&&q.neighboringTiles[ne]){var we=this.getTileByID(ne);Ue(q,we),Ue(we,q)}}function Ue(ft,Xt){ft.needsHillshadePrepare=!0;var hr=Xt.tileID.canonical.x-ft.tileID.canonical.x,qt=Xt.tileID.canonical.y-ft.tileID.canonical.y,Ve=Math.pow(2,ft.tileID.canonical.z),Qe=Xt.tileID.key;hr===0&&qt===0||Math.abs(qt)>1||(Math.abs(hr)>1&&(Math.abs(hr+Ve)===1?hr+=Ve:Math.abs(hr-Ve)===1&&(hr-=Ve)),!(!Xt.dem||!ft.dem)&&(ft.dem.backfillBorder(Xt.dem,hr,qt),ft.neighboringTiles&&ft.neighboringTiles[Qe]&&(ft.neighboringTiles[Qe].backfilled=!0)))}},D.prototype.getTile=function(q){return this.getTileByID(q.key)},D.prototype.getTileByID=function(q){return this._tiles[q]},D.prototype._retainLoadedChildren=function(q,K,de,ne){for(var we in this._tiles){var Ue=this._tiles[we];if(!(ne[we]||!Ue.hasData()||Ue.tileID.overscaledZ<=K||Ue.tileID.overscaledZ>de)){for(var ft=Ue.tileID;Ue&&Ue.tileID.overscaledZ>K+1;){var Xt=Ue.tileID.scaledTo(Ue.tileID.overscaledZ-1);Ue=this._tiles[Xt.key],Ue&&Ue.hasData()&&(ft=Xt)}for(var hr=ft;hr.overscaledZ>K;)if(hr=hr.scaledTo(hr.overscaledZ-1),q[hr.key]){ne[ft.key]=ft;break}}}},D.prototype.findLoadedParent=function(q,K){if(q.key in this._loadedParentTiles){var de=this._loadedParentTiles[q.key];return de&&de.tileID.overscaledZ>=K?de:null}for(var ne=q.overscaledZ-1;ne>=K;ne--){var we=q.scaledTo(ne),Ue=this._getLoadedTile(we);if(Ue)return Ue}},D.prototype._getLoadedTile=function(q){var K=this._tiles[q.key];if(K&&K.hasData())return K;var de=this._cache.getByKey(q.wrapped().key);return de},D.prototype.updateCacheSize=function(q){var K=Math.ceil(q.width/this._source.tileSize)+1,de=Math.ceil(q.height/this._source.tileSize)+1,ne=K*de,we=5,Ue=Math.floor(ne*we),ft=typeof this._maxTileCacheSize==\"number\"?Math.min(this._maxTileCacheSize,Ue):Ue;this._cache.setMaxSize(ft)},D.prototype.handleWrapJump=function(q){var K=this._prevLng===void 0?q:this._prevLng,de=q-K,ne=de/360,we=Math.round(ne);if(this._prevLng=q,we){var Ue={};for(var ft in this._tiles){var Xt=this._tiles[ft];Xt.tileID=Xt.tileID.unwrapTo(Xt.tileID.wrap+we),Ue[Xt.tileID.key]=Xt}this._tiles=Ue;for(var hr in this._timers)clearTimeout(this._timers[hr]),delete this._timers[hr];for(var qt in this._tiles){var Ve=this._tiles[qt];this._setTileReloadTimer(qt,Ve)}}},D.prototype.update=function(q){var K=this;if(this.transform=q,!(!this._sourceLoaded||this._paused)){this.updateCacheSize(q),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={};var de;this.used?this._source.tileID?de=q.getVisibleUnwrappedCoordinates(this._source.tileID).map(function(Ur){return new i.OverscaledTileID(Ur.canonical.z,Ur.wrap,Ur.canonical.z,Ur.canonical.x,Ur.canonical.y)}):(de=q.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(de=de.filter(function(Ur){return K._source.hasTile(Ur)}))):de=[];var ne=q.coveringZoomLevel(this._source),we=Math.max(ne-D.maxOverzooming,this._source.minzoom),Ue=Math.max(ne+D.maxUnderzooming,this._source.minzoom),ft=this._updateRetainedTiles(de,ne);if(Oi(this._source.type)){for(var Xt={},hr={},qt=Object.keys(ft),Ve=0,Qe=qt;Ve<Qe.length;Ve+=1){var at=Qe[Ve],Ct=ft[at],Ot=this._tiles[at];if(!(!Ot||Ot.fadeEndTime&&Ot.fadeEndTime<=i.browser.now())){var Rt=this.findLoadedParent(Ct,we);Rt&&(this._addTile(Rt.tileID),Xt[Rt.tileID.key]=Rt.tileID),hr[at]=Ct}}this._retainLoadedChildren(hr,ne,Ue,ft);for(var Bt in Xt)ft[Bt]||(this._coveredTiles[Bt]=!0,ft[Bt]=Xt[Bt])}for(var Dt in ft)this._tiles[Dt].clearFadeHold();for(var yt=i.keysDifference(this._tiles,ft),Pt=0,ht=yt;Pt<ht.length;Pt+=1){var ur=ht[Pt],br=this._tiles[ur];br.hasSymbolBuckets&&!br.holdingForFade()?br.setHoldDuration(this.map._fadeDuration):(!br.hasSymbolBuckets||br.symbolFadeFinished())&&this._removeTile(ur)}this._updateLoadedParentTileCache()}},D.prototype.releaseSymbolFadeTiles=function(){for(var q in this._tiles)this._tiles[q].holdingForFade()&&this._removeTile(q)},D.prototype._updateRetainedTiles=function(q,K){for(var de={},ne={},we=Math.max(K-D.maxOverzooming,this._source.minzoom),Ue=Math.max(K+D.maxUnderzooming,this._source.minzoom),ft={},Xt=0,hr=q;Xt<hr.length;Xt+=1){var qt=hr[Xt],Ve=this._addTile(qt);de[qt.key]=qt,!Ve.hasData()&&K<this._source.maxzoom&&(ft[qt.key]=qt)}this._retainLoadedChildren(ft,K,Ue,de);for(var Qe=0,at=q;Qe<at.length;Qe+=1){var Ct=at[Qe],Ot=this._tiles[Ct.key];if(!Ot.hasData()){if(K+1>this._source.maxzoom){var Rt=Ct.children(this._source.maxzoom)[0],Bt=this.getTile(Rt);if(Bt&&Bt.hasData()){de[Rt.key]=Rt;continue}}else{var Dt=Ct.children(this._source.maxzoom);if(de[Dt[0].key]&&de[Dt[1].key]&&de[Dt[2].key]&&de[Dt[3].key])continue}for(var yt=Ot.wasRequested(),Pt=Ct.overscaledZ-1;Pt>=we;--Pt){var ht=Ct.scaledTo(Pt);if(ne[ht.key]||(ne[ht.key]=!0,Ot=this.getTile(ht),!Ot&&yt&&(Ot=this._addTile(ht)),Ot&&(de[ht.key]=ht,yt=Ot.wasRequested(),Ot.hasData())))break}}}return de},D.prototype._updateLoadedParentTileCache=function(){this._loadedParentTiles={};for(var q in this._tiles){for(var K=[],de=void 0,ne=this._tiles[q].tileID;ne.overscaledZ>0;){if(ne.key in this._loadedParentTiles){de=this._loadedParentTiles[ne.key];break}K.push(ne.key);var we=ne.scaledTo(ne.overscaledZ-1);if(de=this._getLoadedTile(we),de)break;ne=we}for(var Ue=0,ft=K;Ue<ft.length;Ue+=1){var Xt=ft[Ue];this._loadedParentTiles[Xt]=de}}},D.prototype._addTile=function(q){var K=this._tiles[q.key];if(K)return K;K=this._cache.getAndRemove(q),K&&(this._setTileReloadTimer(q.key,K),K.tileID=q,this._state.initializeTileState(K,this.map?this.map.painter:null),this._cacheTimers[q.key]&&(clearTimeout(this._cacheTimers[q.key]),delete this._cacheTimers[q.key],this._setTileReloadTimer(q.key,K)));var de=!!K;return de||(K=new i.Tile(q,this._source.tileSize*q.overscaleFactor()),this._loadTile(K,this._tileLoaded.bind(this,K,q.key,K.state))),K?(K.uses++,this._tiles[q.key]=K,de||this._source.fire(new i.Event(\"dataloading\",{tile:K,coord:K.tileID,dataType:\"source\"})),K):null},D.prototype._setTileReloadTimer=function(q,K){var de=this;q in this._timers&&(clearTimeout(this._timers[q]),delete this._timers[q]);var ne=K.getExpiryTimeout();ne&&(this._timers[q]=setTimeout(function(){de._reloadTile(q,\"expired\"),delete de._timers[q]},ne))},D.prototype._removeTile=function(q){var K=this._tiles[q];K&&(K.uses--,delete this._tiles[q],this._timers[q]&&(clearTimeout(this._timers[q]),delete this._timers[q]),!(K.uses>0)&&(K.hasData()&&K.state!==\"reloading\"?this._cache.add(K.tileID,K,K.getExpiryTimeout()):(K.aborted=!0,this._abortTile(K),this._unloadTile(K))))},D.prototype.clearTiles=function(){this._shouldReloadOnResume=!1,this._paused=!1;for(var q in this._tiles)this._removeTile(q);this._cache.reset()},D.prototype.tilesIn=function(q,K,de){var ne=this,we=[],Ue=this.transform;if(!Ue)return we;for(var ft=de?Ue.getCameraQueryGeometry(q):q,Xt=q.map(function(Pt){return Ue.pointCoordinate(Pt)}),hr=ft.map(function(Pt){return Ue.pointCoordinate(Pt)}),qt=this.getIds(),Ve=1/0,Qe=1/0,at=-1/0,Ct=-1/0,Ot=0,Rt=hr;Ot<Rt.length;Ot+=1){var Bt=Rt[Ot];Ve=Math.min(Ve,Bt.x),Qe=Math.min(Qe,Bt.y),at=Math.max(at,Bt.x),Ct=Math.max(Ct,Bt.y)}for(var Dt=function(Pt){var ht=ne._tiles[qt[Pt]];if(!ht.holdingForFade()){var ur=ht.tileID,br=Math.pow(2,Ue.zoom-ht.tileID.overscaledZ),Ur=K*ht.queryPadding*i.EXTENT/ht.tileSize/br,Di=[ur.getTilePoint(new i.MercatorCoordinate(Ve,Qe)),ur.getTilePoint(new i.MercatorCoordinate(at,Ct))];if(Di[0].x-Ur<i.EXTENT&&Di[0].y-Ur<i.EXTENT&&Di[1].x+Ur>=0&&Di[1].y+Ur>=0){var fi=Xt.map(function(gn){return ur.getTilePoint(gn)}),Ti=hr.map(function(gn){return ur.getTilePoint(gn)});we.push({tile:ht,tileID:ur,queryGeometry:fi,cameraQueryGeometry:Ti,scale:br})}}},yt=0;yt<qt.length;yt++)Dt(yt);return we},D.prototype.getVisibleCoordinates=function(q){for(var K=this,de=this.getRenderableIds(q).map(function(ft){return K._tiles[ft].tileID}),ne=0,we=de;ne<we.length;ne+=1){var Ue=we[ne];Ue.posMatrix=this.transform.calculatePosMatrix(Ue.toUnwrapped())}return de},D.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(Oi(this._source.type))for(var q in this._tiles){var K=this._tiles[q];if(K.fadeEndTime!==void 0&&K.fadeEndTime>=i.browser.now())return!0}return!1},D.prototype.setFeatureState=function(q,K,de){q=q||\"_geojsonTileLayer\",this._state.updateState(q,K,de)},D.prototype.removeFeatureState=function(q,K,de){q=q||\"_geojsonTileLayer\",this._state.removeFeatureState(q,K,de)},D.prototype.getFeatureState=function(q,K){return q=q||\"_geojsonTileLayer\",this._state.getState(q,K)},D.prototype.setDependencies=function(q,K,de){var ne=this._tiles[q];ne&&ne.setDependencies(K,de)},D.prototype.reloadTilesForDependencies=function(q,K){for(var de in this._tiles){var ne=this._tiles[de];ne.hasDependency(q,K)&&this._reloadTile(de,\"reloading\")}this._cache.filter(function(we){return!we.hasDependency(q,K)})},D}(i.Evented);ri.maxOverzooming=10,ri.maxUnderzooming=3;function Qr(Y,D){var J=Math.abs(Y.wrap*2)-+(Y.wrap<0),q=Math.abs(D.wrap*2)-+(D.wrap<0);return Y.overscaledZ-D.overscaledZ||q-J||D.canonical.y-Y.canonical.y||D.canonical.x-Y.canonical.x}function Oi(Y){return Y===\"raster\"||Y===\"image\"||Y===\"video\"}function $i(){return new i.window.Worker(io.workerUrl)}var tn=\"mapboxgl_preloaded_worker_pool\",fn=function(){this.active={}};fn.prototype.acquire=function(D){if(!this.workers)for(this.workers=[];this.workers.length<fn.workerCount;)this.workers.push(new $i);return this.active[D]=!0,this.workers.slice()},fn.prototype.release=function(D){delete this.active[D],this.numActive()===0&&(this.workers.forEach(function(J){J.terminate()}),this.workers=null)},fn.prototype.isPreloaded=function(){return!!this.active[tn]},fn.prototype.numActive=function(){return Object.keys(this.active).length};var yn=Math.floor(i.browser.hardwareConcurrency/2);fn.workerCount=Math.max(Math.min(yn,6),1);var Sn;function Ba(){return Sn||(Sn=new fn),Sn}function ua(){var Y=Ba();Y.acquire(tn)}function ma(){var Y=Sn;Y&&(Y.isPreloaded()&&Y.numActive()===1?(Y.release(tn),Sn=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))}function Wa(Y,D){var J={};for(var q in Y)q!==\"ref\"&&(J[q]=Y[q]);return i.refProperties.forEach(function(K){K in D&&(J[K]=D[K])}),J}function Fa(Y){Y=Y.slice();for(var D=Object.create(null),J=0;J<Y.length;J++)D[Y[J].id]=Y[J];for(var q=0;q<Y.length;q++)\"ref\"in Y[q]&&(Y[q]=Wa(Y[q],D[Y[q].ref]));return Y}function Wo(){var Y={},D=i.styleSpec.$version;for(var J in i.styleSpec.$root){var q=i.styleSpec.$root[J];if(q.required){var K=null;J===\"version\"?K=D:q.type===\"array\"?K=[]:K={},K!=null&&(Y[J]=K)}}return Y}var da={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 Wn(Y,D,J){J.push({command:da.addSource,args:[Y,D[Y]]})}function Ha(Y,D,J){D.push({command:da.removeSource,args:[Y]}),J[Y]=!0}function vo(Y,D,J,q){Ha(Y,J,q),Wn(Y,D,J)}function jn(Y,D,J){var q;for(q in Y[J])if(Y[J].hasOwnProperty(q)&&q!==\"data\"&&!i.deepEqual(Y[J][q],D[J][q]))return!1;for(q in D[J])if(D[J].hasOwnProperty(q)&&q!==\"data\"&&!i.deepEqual(Y[J][q],D[J][q]))return!1;return!0}function Mt(Y,D,J,q){Y=Y||{},D=D||{};var K;for(K in 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q=Y.map(Jr),K=D.map(Jr),de=Y.reduce(vi,{}),ne=D.reduce(vi,{}),we=q.slice(),Ue=Object.create(null),ft,Xt,hr,qt,Ve,Qe,at;for(ft=0,Xt=0;ft<q.length;ft++)hr=q[ft],ne.hasOwnProperty(hr)?Xt++:(J.push({command:da.removeLayer,args:[hr]}),we.splice(we.indexOf(hr,Xt),1));for(ft=0,Xt=0;ft<K.length;ft++)hr=K[K.length-1-ft],we[we.length-1-ft]!==hr&&(de.hasOwnProperty(hr)?(J.push({command:da.removeLayer,args:[hr]}),we.splice(we.lastIndexOf(hr,we.length-Xt),1)):Xt++,Qe=we[we.length-ft],J.push({command:da.addLayer,args:[ne[hr],Qe]}),we.splice(we.length-ft,0,hr),Ue[hr]=!0);for(ft=0;ft<K.length;ft++)if(hr=K[ft],qt=de[hr],Ve=ne[hr],!(Ue[hr]||i.deepEqual(qt,Ve))){if(!i.deepEqual(qt.source,Ve.source)||!i.deepEqual(qt[\"source-layer\"],Ve[\"source-layer\"])||!i.deepEqual(qt.type,Ve.type)){J.push({command:da.removeLayer,args:[hr]}),Qe=we[we.lastIndexOf(hr)+1],J.push({command:da.addLayer,args:[Ve,Qe]});continue}kr(qt.layout,Ve.layout,J,hr,null,da.setLayoutProperty),kr(qt.paint,Ve.paint,J,hr,null,da.setPaintProperty),i.deepEqual(qt.filter,Ve.filter)||J.push({command:da.setFilter,args:[hr,Ve.filter]}),(!i.deepEqual(qt.minzoom,Ve.minzoom)||!i.deepEqual(qt.maxzoom,Ve.maxzoom))&&J.push({command:da.setLayerZoomRange,args:[hr,Ve.minzoom,Ve.maxzoom]});for(at in qt)qt.hasOwnProperty(at)&&(at===\"layout\"||at===\"paint\"||at===\"filter\"||at===\"metadata\"||at===\"minzoom\"||at===\"maxzoom\"||(at.indexOf(\"paint.\")===0?kr(qt[at],Ve[at],J,hr,at.slice(6),da.setPaintProperty):i.deepEqual(qt[at],Ve[at])||J.push({command:da.setLayerProperty,args:[hr,at,Ve[at]]})));for(at in Ve)!Ve.hasOwnProperty(at)||qt.hasOwnProperty(at)||at===\"layout\"||at===\"paint\"||at===\"filter\"||at===\"metadata\"||at===\"minzoom\"||at===\"maxzoom\"||(at.indexOf(\"paint.\")===0?kr(qt[at],Ve[at],J,hr,at.slice(6),da.setPaintProperty):i.deepEqual(qt[at],Ve[at])||J.push({command:da.setLayerProperty,args:[hr,at,Ve[at]]}))}}function An(Y,D){if(!Y)return[{command:da.setStyle,args:[D]}];var J=[];try{if(!i.deepEqual(Y.version,D.version))return[{command:da.setStyle,args:[D]}];i.deepEqual(Y.center,D.center)||J.push({command:da.setCenter,args:[D.center]}),i.deepEqual(Y.zoom,D.zoom)||J.push({command:da.setZoom,args:[D.zoom]}),i.deepEqual(Y.bearing,D.bearing)||J.push({command:da.setBearing,args:[D.bearing]}),i.deepEqual(Y.pitch,D.pitch)||J.push({command:da.setPitch,args:[D.pitch]}),i.deepEqual(Y.sprite,D.sprite)||J.push({command:da.setSprite,args:[D.sprite]}),i.deepEqual(Y.glyphs,D.glyphs)||J.push({command:da.setGlyphs,args:[D.glyphs]}),i.deepEqual(Y.transition,D.transition)||J.push({command:da.setTransition,args:[D.transition]}),i.deepEqual(Y.light,D.light)||J.push({command:da.setLight,args:[D.light]});var q={},K=[];Mt(Y.sources,D.sources,K,q);var de=[];Y.layers&&Y.layers.forEach(function(ne){q[ne.source]?J.push({command:da.removeLayer,args:[ne.id]}):de.push(ne)}),J=J.concat(K),hn(de,D.layers,J)}catch(ne){console.warn(\"Unable to compute style diff:\",ne),J=[{command:da.setStyle,args:[D]}]}return J}var Mn=function(D,J){this.reset(D,J)};Mn.prototype.reset=function(D,J){this.points=D||[],this._distances=[0];for(var q=1;q<this.points.length;q++)this._distances[q]=this._distances[q-1]+this.points[q].dist(this.points[q-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(J||0,this.length*.5),this.paddedLength=this.length-this.padding*2},Mn.prototype.lerp=function(D){if(this.points.length===1)return this.points[0];D=i.clamp(D,0,1);for(var J=1,q=this._distances[J],K=D*this.paddedLength+this.padding;q<K&&J<this._distances.length;)q=this._distances[++J];var de=J-1,ne=this._distances[de],we=q-ne,Ue=we>0?(K-ne)/we:0;return this.points[de].mult(1-Ue).add(this.points[J].mult(Ue))};var Li=function(D,J,q){var K=this.boxCells=[],de=this.circleCells=[];this.xCellCount=Math.ceil(D/q),this.yCellCount=Math.ceil(J/q);for(var ne=0;ne<this.xCellCount*this.yCellCount;ne++)K.push([]),de.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=D,this.height=J,this.xScale=this.xCellCount/D,this.yScale=this.yCellCount/J,this.boxUid=0,this.circleUid=0};Li.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Li.prototype.insert=function(D,J,q,K,de){this._forEachCell(J,q,K,de,this._insertBoxCell,this.boxUid++),this.boxKeys.push(D),this.bboxes.push(J),this.bboxes.push(q),this.bboxes.push(K),this.bboxes.push(de)},Li.prototype.insertCircle=function(D,J,q,K){this._forEachCell(J-K,q-K,J+K,q+K,this._insertCircleCell,this.circleUid++),this.circleKeys.push(D),this.circles.push(J),this.circles.push(q),this.circles.push(K)},Li.prototype._insertBoxCell=function(D,J,q,K,de,ne){this.boxCells[de].push(ne)},Li.prototype._insertCircleCell=function(D,J,q,K,de,ne){this.circleCells[de].push(ne)},Li.prototype._query=function(D,J,q,K,de,ne){if(q<0||D>this.width||K<0||J>this.height)return de?!1:[];var we=[];if(D<=0&&J<=0&&this.width<=q&&this.height<=K){if(de)return!0;for(var Ue=0;Ue<this.boxKeys.length;Ue++)we.push({key:this.boxKeys[Ue],x1:this.bboxes[Ue*4],y1:this.bboxes[Ue*4+1],x2:this.bboxes[Ue*4+2],y2:this.bboxes[Ue*4+3]});for(var ft=0;ft<this.circleKeys.length;ft++){var Xt=this.circles[ft*3],hr=this.circles[ft*3+1],qt=this.circles[ft*3+2];we.push({key:this.circleKeys[ft],x1:Xt-qt,y1:hr-qt,x2:Xt+qt,y2:hr+qt})}return ne?we.filter(ne):we}else{var Ve={hitTest:de,seenUids:{box:{},circle:{}}};return this._forEachCell(D,J,q,K,this._queryCell,we,Ve,ne),de?we.length>0:we}},Li.prototype._queryCircle=function(D,J,q,K,de){var ne=D-q,we=D+q,Ue=J-q,ft=J+q;if(we<0||ne>this.width||ft<0||Ue>this.height)return K?!1:[];var Xt=[],hr={hitTest:K,circle:{x:D,y:J,radius:q},seenUids:{box:{},circle:{}}};return this._forEachCell(ne,Ue,we,ft,this._queryCellCircle,Xt,hr,de),K?Xt.length>0:Xt},Li.prototype.query=function(D,J,q,K,de){return this._query(D,J,q,K,!1,de)},Li.prototype.hitTest=function(D,J,q,K,de){return this._query(D,J,q,K,!0,de)},Li.prototype.hitTestCircle=function(D,J,q,K){return this._queryCircle(D,J,q,!0,K)},Li.prototype._queryCell=function(D,J,q,K,de,ne,we,Ue){var ft=we.seenUids,Xt=this.boxCells[de];if(Xt!==null)for(var hr=this.bboxes,qt=0,Ve=Xt;qt<Ve.length;qt+=1){var Qe=Ve[qt];if(!ft.box[Qe]){ft.box[Qe]=!0;var at=Qe*4;if(D<=hr[at+2]&&J<=hr[at+3]&&q>=hr[at+0]&&K>=hr[at+1]&&(!Ue||Ue(this.boxKeys[Qe]))){if(we.hitTest)return ne.push(!0),!0;ne.push({key:this.boxKeys[Qe],x1:hr[at],y1:hr[at+1],x2:hr[at+2],y2:hr[at+3]})}}}var Ct=this.circleCells[de];if(Ct!==null)for(var Ot=this.circles,Rt=0,Bt=Ct;Rt<Bt.length;Rt+=1){var Dt=Bt[Rt];if(!ft.circle[Dt]){ft.circle[Dt]=!0;var yt=Dt*3;if(this._circleAndRectCollide(Ot[yt],Ot[yt+1],Ot[yt+2],D,J,q,K)&&(!Ue||Ue(this.circleKeys[Dt]))){if(we.hitTest)return ne.push(!0),!0;var Pt=Ot[yt],ht=Ot[yt+1],ur=Ot[yt+2];ne.push({key:this.circleKeys[Dt],x1:Pt-ur,y1:ht-ur,x2:Pt+ur,y2:ht+ur})}}}},Li.prototype._queryCellCircle=function(D,J,q,K,de,ne,we,Ue){var ft=we.circle,Xt=we.seenUids,hr=this.boxCells[de];if(hr!==null)for(var qt=this.bboxes,Ve=0,Qe=hr;Ve<Qe.length;Ve+=1){var at=Qe[Ve];if(!Xt.box[at]){Xt.box[at]=!0;var Ct=at*4;if(this._circleAndRectCollide(ft.x,ft.y,ft.radius,qt[Ct+0],qt[Ct+1],qt[Ct+2],qt[Ct+3])&&(!Ue||Ue(this.boxKeys[at])))return ne.push(!0),!0}}var Ot=this.circleCells[de];if(Ot!==null)for(var Rt=this.circles,Bt=0,Dt=Ot;Bt<Dt.length;Bt+=1){var yt=Dt[Bt];if(!Xt.circle[yt]){Xt.circle[yt]=!0;var Pt=yt*3;if(this._circlesCollide(Rt[Pt],Rt[Pt+1],Rt[Pt+2],ft.x,ft.y,ft.radius)&&(!Ue||Ue(this.circleKeys[yt])))return ne.push(!0),!0}}},Li.prototype._forEachCell=function(D,J,q,K,de,ne,we,Ue){for(var ft=this._convertToXCellCoord(D),Xt=this._convertToYCellCoord(J),hr=this._convertToXCellCoord(q),qt=this._convertToYCellCoord(K),Ve=ft;Ve<=hr;Ve++)for(var Qe=Xt;Qe<=qt;Qe++){var at=this.xCellCount*Qe+Ve;if(de.call(this,D,J,q,K,at,ne,we,Ue))return}},Li.prototype._convertToXCellCoord=function(D){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(D*this.xScale)))},Li.prototype._convertToYCellCoord=function(D){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(D*this.yScale)))},Li.prototype._circlesCollide=function(D,J,q,K,de,ne){var we=K-D,Ue=de-J,ft=q+ne;return ft*ft>we*we+Ue*Ue},Li.prototype._circleAndRectCollide=function(D,J,q,K,de,ne,we){var Ue=(ne-K)/2,ft=Math.abs(D-(K+Ue));if(ft>Ue+q)return!1;var Xt=(we-de)/2,hr=Math.abs(J-(de+Xt));if(hr>Xt+q)return!1;if(ft<=Ue||hr<=Xt)return!0;var qt=ft-Ue,Ve=hr-Xt;return qt*qt+Ve*Ve<=q*q};function _n(Y,D,J,q,K){var de=i.create();return D?(i.scale(de,de,[1/K,1/K,1]),J||i.rotateZ(de,de,q.angle)):i.multiply(de,q.labelPlaneMatrix,Y),de}function ya(Y,D,J,q,K){if(D){var de=i.clone(Y);return i.scale(de,de,[K,K,1]),J||i.rotateZ(de,de,-q.angle),de}else return q.glCoordMatrix}function Jn(Y,D){var J=[Y.x,Y.y,0,1];zl(J,J,D);var q=J[3];return{point:new i.Point(J[0]/q,J[1]/q),signedDistanceFromCamera:q}}function Ma(Y,D){return .5+.5*(Y/D)}function _o(Y,D){var J=Y[0]/Y[3],q=Y[1]/Y[3],K=J>=-D[0]&&J<=D[0]&&q>=-D[1]&&q<=D[1];return K}function No(Y,D,J,q,K,de,ne,we){var Ue=q?Y.textSizeData:Y.iconSizeData,ft=i.evaluateSizeForZoom(Ue,J.transform.zoom),Xt=[256/J.width*2+1,256/J.height*2+1],hr=q?Y.text.dynamicLayoutVertexArray:Y.icon.dynamicLayoutVertexArray;hr.clear();for(var qt=Y.lineVertexArray,Ve=q?Y.text.placedSymbolArray:Y.icon.placedSymbolArray,Qe=J.transform.width/J.transform.height,at=!1,Ct=0;Ct<Ve.length;Ct++){var Ot=Ve.get(Ct);if(Ot.hidden||Ot.writingMode===i.WritingMode.vertical&&!at){ul(Ot.numGlyphs,hr);continue}at=!1;var Rt=[Ot.anchorX,Ot.anchorY,0,1];if(i.transformMat4(Rt,Rt,D),!_o(Rt,Xt)){ul(Ot.numGlyphs,hr);continue}var Bt=Rt[3],Dt=Ma(J.transform.cameraToCenterDistance,Bt),yt=i.evaluateSizeForFeature(Ue,ft,Ot),Pt=ne?yt/Dt:yt*Dt,ht=new i.Point(Ot.anchorX,Ot.anchorY),ur=Jn(ht,K).point,br={},Ur=ko(Ot,Pt,!1,we,D,K,de,Y.glyphOffsetArray,qt,hr,ur,ht,br,Qe);at=Ur.useVertical,(Ur.notEnoughRoom||at||Ur.needsFlipping&&ko(Ot,Pt,!0,we,D,K,de,Y.glyphOffsetArray,qt,hr,ur,ht,br,Qe).notEnoughRoom)&&ul(Ot.numGlyphs,hr)}q?Y.text.dynamicLayoutVertexBuffer.updateData(hr):Y.icon.dynamicLayoutVertexBuffer.updateData(hr)}function po(Y,D,J,q,K,de,ne,we,Ue,ft,Xt){var hr=we.glyphStartIndex+we.numGlyphs,qt=we.lineStartIndex,Ve=we.lineStartIndex+we.lineLength,Qe=D.getoffsetX(we.glyphStartIndex),at=D.getoffsetX(hr-1),Ct=Fs(Y*Qe,J,q,K,de,ne,we.segment,qt,Ve,Ue,ft,Xt);if(!Ct)return null;var Ot=Fs(Y*at,J,q,K,de,ne,we.segment,qt,Ve,Ue,ft,Xt);return Ot?{first:Ct,last:Ot}:null}function Lo(Y,D,J,q){if(Y===i.WritingMode.horizontal){var K=Math.abs(J.y-D.y),de=Math.abs(J.x-D.x)*q;if(K>de)return{useVertical:!0}}return(Y===i.WritingMode.vertical?D.y<J.y:D.x>J.x)?{needsFlipping:!0}:null}function ko(Y,D,J,q,K,de,ne,we,Ue,ft,Xt,hr,qt,Ve){var Qe=D/24,at=Y.lineOffsetX*Qe,Ct=Y.lineOffsetY*Qe,Ot;if(Y.numGlyphs>1){var Rt=Y.glyphStartIndex+Y.numGlyphs,Bt=Y.lineStartIndex,Dt=Y.lineStartIndex+Y.lineLength,yt=po(Qe,we,at,Ct,J,Xt,hr,Y,Ue,de,qt);if(!yt)return{notEnoughRoom:!0};var Pt=Jn(yt.first.point,ne).point,ht=Jn(yt.last.point,ne).point;if(q&&!J){var ur=Lo(Y.writingMode,Pt,ht,Ve);if(ur)return ur}Ot=[yt.first];for(var br=Y.glyphStartIndex+1;br<Rt-1;br++)Ot.push(Fs(Qe*we.getoffsetX(br),at,Ct,J,Xt,hr,Y.segment,Bt,Dt,Ue,de,qt));Ot.push(yt.last)}else{if(q&&!J){var Ur=Jn(hr,K).point,Di=Y.lineStartIndex+Y.segment+1,fi=new i.Point(Ue.getx(Di),Ue.gety(Di)),Ti=Jn(fi,K),gn=Ti.signedDistanceFromCamera>0?Ti.point:Ds(hr,fi,Ur,1,K),rn=Lo(Y.writingMode,Ur,gn,Ve);if(rn)return rn}var Ci=Fs(Qe*we.getoffsetX(Y.glyphStartIndex),at,Ct,J,Xt,hr,Y.segment,Y.lineStartIndex,Y.lineStartIndex+Y.lineLength,Ue,de,qt);if(!Ci)return{notEnoughRoom:!0};Ot=[Ci]}for(var Bi=0,Gi=Ot;Bi<Gi.length;Bi+=1){var sn=Gi[Bi];i.addDynamicAttributes(ft,sn.point,sn.angle)}return{}}function Ds(Y,D,J,q,K){var de=Jn(Y.add(Y.sub(D)._unit()),K).point,ne=J.sub(de);return J.add(ne._mult(q/ne.mag()))}function Fs(Y,D,J,q,K,de,ne,we,Ue,ft,Xt,hr){var qt=q?Y-D:Y+D,Ve=qt>0?1:-1,Qe=0;q&&(Ve*=-1,Qe=Math.PI),Ve<0&&(Qe+=Math.PI);for(var at=Ve>0?we+ne:we+ne+1,Ct=K,Ot=K,Rt=0,Bt=0,Dt=Math.abs(qt),yt=[];Rt+Bt<=Dt;){if(at+=Ve,at<we||at>=Ue)return null;if(Ot=Ct,yt.push(Ct),Ct=hr[at],Ct===void 0){var Pt=new i.Point(ft.getx(at),ft.gety(at)),ht=Jn(Pt,Xt);if(ht.signedDistanceFromCamera>0)Ct=hr[at]=ht.point;else{var ur=at-Ve,br=Rt===0?de:new i.Point(ft.getx(ur),ft.gety(ur));Ct=Ds(br,Pt,Ot,Dt-Rt+1,Xt)}}Rt+=Bt,Bt=Ot.dist(Ct)}var Ur=(Dt-Rt)/Bt,Di=Ct.sub(Ot),fi=Di.mult(Ur)._add(Ot);fi._add(Di._unit()._perp()._mult(J*Ve));var Ti=Qe+Math.atan2(Ct.y-Ot.y,Ct.x-Ot.x);return yt.push(fi),{point:fi,angle:Ti,path:yt}}var ll=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ul(Y,D){for(var J=0;J<Y;J++){var q=D.length;D.resize(q+4),D.float32.set(ll,q*3)}}function zl(Y,D,J){var q=D[0],K=D[1];return Y[0]=J[0]*q+J[4]*K+J[12],Y[1]=J[1]*q+J[5]*K+J[13],Y[3]=J[3]*q+J[7]*K+J[15],Y}var us=100,il=function(D,J,q){J===void 0&&(J=new Li(D.width+2*us,D.height+2*us,25)),q===void 0&&(q=new Li(D.width+2*us,D.height+2*us,25)),this.transform=D,this.grid=J,this.ignoredGrid=q,this.pitchfactor=Math.cos(D._pitch)*D.cameraToCenterDistance,this.screenRightBoundary=D.width+us,this.screenBottomBoundary=D.height+us,this.gridRightBoundary=D.width+2*us,this.gridBottomBoundary=D.height+2*us};il.prototype.placeCollisionBox=function(D,J,q,K,de){var ne=this.projectAndGetPerspectiveRatio(K,D.anchorPointX,D.anchorPointY),we=q*ne.perspectiveRatio,Ue=D.x1*we+ne.point.x,ft=D.y1*we+ne.point.y,Xt=D.x2*we+ne.point.x,hr=D.y2*we+ne.point.y;return!this.isInsideGrid(Ue,ft,Xt,hr)||!J&&this.grid.hitTest(Ue,ft,Xt,hr,de)?{box:[],offscreen:!1}:{box:[Ue,ft,Xt,hr],offscreen:this.isOffscreen(Ue,ft,Xt,hr)}},il.prototype.placeCollisionCircles=function(D,J,q,K,de,ne,we,Ue,ft,Xt,hr,qt,Ve){var Qe=[],at=new i.Point(J.anchorX,J.anchorY),Ct=Jn(at,ne),Ot=Ma(this.transform.cameraToCenterDistance,Ct.signedDistanceFromCamera),Rt=Xt?de/Ot:de*Ot,Bt=Rt/i.ONE_EM,Dt=Jn(at,we).point,yt={},Pt=J.lineOffsetX*Bt,ht=J.lineOffsetY*Bt,ur=po(Bt,K,Pt,ht,!1,Dt,at,J,q,we,yt),br=!1,Ur=!1,Di=!0;if(ur){for(var fi=qt*.5*Ot+Ve,Ti=new i.Point(-us,-us),gn=new i.Point(this.screenRightBoundary,this.screenBottomBoundary),rn=new Mn,Ci=ur.first,Bi=ur.last,Gi=[],sn=Ci.path.length-1;sn>=1;sn--)Gi.push(Ci.path[sn]);for(var zn=1;zn<Bi.path.length;zn++)Gi.push(Bi.path[zn]);var Ja=fi*2.5;if(Ue){var co=Gi.map(function(Iv){return Jn(Iv,Ue)});co.some(function(Iv){return Iv.signedDistanceFromCamera<=0})?Gi=[]:Gi=co.map(function(Iv){return Iv.point})}var ts=[];if(Gi.length>0){for(var so=Gi[0].clone(),Zo=Gi[0].clone(),ms=1;ms<Gi.length;ms++)so.x=Math.min(so.x,Gi[ms].x),so.y=Math.min(so.y,Gi[ms].y),Zo.x=Math.max(Zo.x,Gi[ms].x),Zo.y=Math.max(Zo.y,Gi[ms].y);so.x>=Ti.x&&Zo.x<=gn.x&&so.y>=Ti.y&&Zo.y<=gn.y?ts=[Gi]:Zo.x<Ti.x||so.x>gn.x||Zo.y<Ti.y||so.y>gn.y?ts=[]:ts=i.clipLine([Gi],Ti.x,Ti.y,gn.x,gn.y)}for(var ou=0,Cv=ts;ou<Cv.length;ou+=1){var Lv=Cv[ou];rn.reset(Lv,fi*.25);var wd=0;rn.length<=.5*fi?wd=1:wd=Math.ceil(rn.paddedLength/Ja)+1;for(var Kv=0;Kv<wd;Kv++){var cg=Kv/Math.max(wd-1,1),pp=rn.lerp(cg),Td=pp.x+us,gp=pp.y+us;Qe.push(Td,gp,fi,0);var Vd=Td-fi,Ad=gp-fi,Pv=Td+fi,Jv=gp+fi;if(Di=Di&&this.isOffscreen(Vd,Ad,Pv,Jv),Ur=Ur||this.isInsideGrid(Vd,Ad,Pv,Jv),!D&&this.grid.hitTestCircle(Td,gp,fi,hr)&&(br=!0,!ft))return{circles:[],offscreen:!1,collisionDetected:br}}}}return{circles:!ft&&br||!Ur?[]:Qe,offscreen:Di,collisionDetected:br}},il.prototype.queryRenderedSymbols=function(D){if(D.length===0||this.grid.keysLength()===0&&this.ignoredGrid.keysLength()===0)return{};for(var J=[],q=1/0,K=1/0,de=-1/0,ne=-1/0,we=0,Ue=D;we<Ue.length;we+=1){var ft=Ue[we],Xt=new i.Point(ft.x+us,ft.y+us);q=Math.min(q,Xt.x),K=Math.min(K,Xt.y),de=Math.max(de,Xt.x),ne=Math.max(ne,Xt.y),J.push(Xt)}for(var hr=this.grid.query(q,K,de,ne).concat(this.ignoredGrid.query(q,K,de,ne)),qt={},Ve={},Qe=0,at=hr;Qe<at.length;Qe+=1){var Ct=at[Qe],Ot=Ct.key;if(qt[Ot.bucketInstanceId]===void 0&&(qt[Ot.bucketInstanceId]={}),!qt[Ot.bucketInstanceId][Ot.featureIndex]){var Rt=[new i.Point(Ct.x1,Ct.y1),new i.Point(Ct.x2,Ct.y1),new i.Point(Ct.x2,Ct.y2),new i.Point(Ct.x1,Ct.y2)];i.polygonIntersectsPolygon(J,Rt)&&(qt[Ot.bucketInstanceId][Ot.featureIndex]=!0,Ve[Ot.bucketInstanceId]===void 0&&(Ve[Ot.bucketInstanceId]=[]),Ve[Ot.bucketInstanceId].push(Ot.featureIndex))}}return Ve},il.prototype.insertCollisionBox=function(D,J,q,K,de){var ne=J?this.ignoredGrid:this.grid,we={bucketInstanceId:q,featureIndex:K,collisionGroupID:de};ne.insert(we,D[0],D[1],D[2],D[3])},il.prototype.insertCollisionCircles=function(D,J,q,K,de){for(var ne=J?this.ignoredGrid:this.grid,we={bucketInstanceId:q,featureIndex:K,collisionGroupID:de},Ue=0;Ue<D.length;Ue+=4)ne.insertCircle(we,D[Ue],D[Ue+1],D[Ue+2])},il.prototype.projectAndGetPerspectiveRatio=function(D,J,q){var K=[J,q,0,1];zl(K,K,D);var de=new i.Point((K[0]/K[3]+1)/2*this.transform.width+us,(-K[1]/K[3]+1)/2*this.transform.height+us);return{point:de,perspectiveRatio:.5+.5*(this.transform.cameraToCenterDistance/K[3])}},il.prototype.isOffscreen=function(D,J,q,K){return q<us||D>=this.screenRightBoundary||K<us||J>this.screenBottomBoundary},il.prototype.isInsideGrid=function(D,J,q,K){return q>=0&&D<this.gridRightBoundary&&K>=0&&J<this.gridBottomBoundary},il.prototype.getViewportMatrix=function(){var D=i.identity([]);return i.translate(D,D,[-us,-us,0]),D};function As(Y,D,J){return D*(i.EXTENT/(Y.tileSize*Math.pow(2,J-Y.tileID.overscaledZ)))}var cl=function(D,J,q,K){D?this.opacity=Math.max(0,Math.min(1,D.opacity+(D.placed?J:-J))):this.opacity=K&&q?1:0,this.placed=q};cl.prototype.isHidden=function(){return this.opacity===0&&!this.placed};var Ks=function(D,J,q,K,de){this.text=new cl(D?D.text:null,J,q,de),this.icon=new cl(D?D.icon:null,J,K,de)};Ks.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var zs=function(D,J,q){this.text=D,this.icon=J,this.skipFade=q},Io=function(){this.invProjMatrix=i.create(),this.viewportMatrix=i.create(),this.circles=[]},ls=function(D,J,q,K,de){this.bucketInstanceId=D,this.featureIndex=J,this.sourceLayerIndex=q,this.bucketIndex=K,this.tileID=de},Zl=function(D){this.crossSourceCollisions=D,this.maxGroupID=0,this.collisionGroups={}};Zl.prototype.get=function(D){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[D]){var J=++this.maxGroupID;this.collisionGroups[D]={ID:J,predicate:function(q){return q.collisionGroupID===J}}}return this.collisionGroups[D]};function Su(Y,D,J,q,K){var de=i.getAnchorAlignment(Y),ne=de.horizontalAlign,we=de.verticalAlign,Ue=-(ne-.5)*D,ft=-(we-.5)*J,Xt=i.evaluateVariableOffset(Y,q);return new i.Point(Ue+Xt[0]*K,ft+Xt[1]*K)}function nc(Y,D,J,q,K,de){var ne=Y.x1,we=Y.x2,Ue=Y.y1,ft=Y.y2,Xt=Y.anchorPointX,hr=Y.anchorPointY,qt=new i.Point(D,J);return q&&qt._rotate(K?de:-de),{x1:ne+qt.x,y1:Ue+qt.y,x2:we+qt.x,y2:ft+qt.y,anchorPointX:Xt,anchorPointY:hr}}var bs=function(D,J,q,K){this.transform=D.clone(),this.collisionIndex=new il(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=J,this.retainedQueryData={},this.collisionGroups=new Zl(q),this.collisionCircleArrays={},this.prevPlacement=K,K&&(K.prevPlacement=void 0),this.placedOrientations={}};bs.prototype.getBucketParts=function(D,J,q,K){var de=q.getBucket(J),ne=q.latestFeatureIndex;if(!(!de||!ne||J.id!==de.layerIds[0])){var we=q.collisionBoxArray,Ue=de.layers[0].layout,ft=Math.pow(2,this.transform.zoom-q.tileID.overscaledZ),Xt=q.tileSize/i.EXTENT,hr=this.transform.calculatePosMatrix(q.tileID.toUnwrapped()),qt=Ue.get(\"text-pitch-alignment\")===\"map\",Ve=Ue.get(\"text-rotation-alignment\")===\"map\",Qe=As(q,1,this.transform.zoom),at=_n(hr,qt,Ve,this.transform,Qe),Ct=null;if(qt){var Ot=ya(hr,qt,Ve,this.transform,Qe);Ct=i.multiply([],this.transform.labelPlaneMatrix,Ot)}this.retainedQueryData[de.bucketInstanceId]=new ls(de.bucketInstanceId,ne,de.sourceLayerIndex,de.index,q.tileID);var Rt={bucket:de,layout:Ue,posMatrix:hr,textLabelPlaneMatrix:at,labelToScreenMatrix:Ct,scale:ft,textPixelRatio:Xt,holdingForFade:q.holdingForFade(),collisionBoxArray:we,partiallyEvaluatedTextSize:i.evaluateSizeForZoom(de.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(de.sourceID)};if(K)for(var Bt=0,Dt=de.sortKeyRanges;Bt<Dt.length;Bt+=1){var yt=Dt[Bt],Pt=yt.sortKey,ht=yt.symbolInstanceStart,ur=yt.symbolInstanceEnd;D.push({sortKey:Pt,symbolInstanceStart:ht,symbolInstanceEnd:ur,parameters:Rt})}else D.push({symbolInstanceStart:0,symbolInstanceEnd:de.symbolInstances.length,parameters:Rt})}},bs.prototype.attemptAnchorPlacement=function(D,J,q,K,de,ne,we,Ue,ft,Xt,hr,qt,Ve,Qe,at){var Ct=[qt.textOffset0,qt.textOffset1],Ot=Su(D,q,K,Ct,de),Rt=this.collisionIndex.placeCollisionBox(nc(J,Ot.x,Ot.y,ne,we,this.transform.angle),hr,Ue,ft,Xt.predicate);if(at){var Bt=this.collisionIndex.placeCollisionBox(nc(at,Ot.x,Ot.y,ne,we,this.transform.angle),hr,Ue,ft,Xt.predicate);if(Bt.box.length===0)return}if(Rt.box.length>0){var Dt;return this.prevPlacement&&this.prevPlacement.variableOffsets[qt.crossTileID]&&this.prevPlacement.placements[qt.crossTileID]&&this.prevPlacement.placements[qt.crossTileID].text&&(Dt=this.prevPlacement.variableOffsets[qt.crossTileID].anchor),this.variableOffsets[qt.crossTileID]={textOffset:Ct,width:q,height:K,anchor:D,textBoxScale:de,prevAnchor:Dt},this.markUsedJustification(Ve,D,qt,Qe),Ve.allowVerticalPlacement&&(this.markUsedOrientation(Ve,Qe,qt),this.placedOrientations[qt.crossTileID]=Qe),{shift:Ot,placedGlyphBoxes:Rt}}},bs.prototype.placeLayerBucketPart=function(D,J,q){var K=this,de=D.parameters,ne=de.bucket,we=de.layout,Ue=de.posMatrix,ft=de.textLabelPlaneMatrix,Xt=de.labelToScreenMatrix,hr=de.textPixelRatio,qt=de.holdingForFade,Ve=de.collisionBoxArray,Qe=de.partiallyEvaluatedTextSize,at=de.collisionGroup,Ct=we.get(\"text-optional\"),Ot=we.get(\"icon-optional\"),Rt=we.get(\"text-allow-overlap\"),Bt=we.get(\"icon-allow-overlap\"),Dt=we.get(\"text-rotation-alignment\")===\"map\",yt=we.get(\"text-pitch-alignment\")===\"map\",Pt=we.get(\"icon-text-fit\")!==\"none\",ht=we.get(\"symbol-z-order\")===\"viewport-y\",ur=Rt&&(Bt||!ne.hasIconData()||Ot),br=Bt&&(Rt||!ne.hasTextData()||Ct);!ne.collisionArrays&&Ve&&ne.deserializeCollisionBoxes(Ve);var Ur=function(Ci,Bi){if(!J[Ci.crossTileID]){if(qt){K.placements[Ci.crossTileID]=new zs(!1,!1,!1);return}var Gi=!1,sn=!1,zn=!0,Ja=null,co={box:null,offscreen:null},ts={box:null,offscreen:null},so=null,Zo=null,ms=null,ou=0,Cv=0,Lv=0;Bi.textFeatureIndex?ou=Bi.textFeatureIndex:Ci.useRuntimeCollisionCircles&&(ou=Ci.featureIndex),Bi.verticalTextFeatureIndex&&(Cv=Bi.verticalTextFeatureIndex);var wd=Bi.textBox;if(wd){var Kv=function(vc){var eu=i.WritingMode.horizontal;if(ne.allowVerticalPlacement&&!vc&&K.prevPlacement){var Sd=K.prevPlacement.placedOrientations[Ci.crossTileID];Sd&&(K.placedOrientations[Ci.crossTileID]=Sd,eu=Sd,K.markUsedOrientation(ne,eu,Ci))}return eu},cg=function(vc,eu){if(ne.allowVerticalPlacement&&Ci.numVerticalGlyphVertices>0&&Bi.verticalTextBox)for(var Sd=0,ly=ne.writingModes;Sd<ly.length;Sd+=1){var T1=ly[Sd];if(T1===i.WritingMode.vertical?(co=eu(),ts=co):co=vc(),co&&co.box&&co.box.length)break}else co=vc()};if(we.get(\"text-variable-anchor\")){var Vd=we.get(\"text-variable-anchor\");if(K.prevPlacement&&K.prevPlacement.variableOffsets[Ci.crossTileID]){var Ad=K.prevPlacement.variableOffsets[Ci.crossTileID];Vd.indexOf(Ad.anchor)>0&&(Vd=Vd.filter(function(vc){return vc!==Ad.anchor}),Vd.unshift(Ad.anchor))}var Pv=function(vc,eu,Sd){for(var ly=vc.x2-vc.x1,T1=vc.y2-vc.y1,wu=Ci.textBoxScale,Nx=Pt&&!Bt?eu:null,om={box:[],offscreen:!1},kw=Rt?Vd.length*2:Vd.length,Rv=0;Rv<kw;++Rv){var sm=Vd[Rv%Vd.length],Cw=Rv>=Vd.length,Ux=K.attemptAnchorPlacement(sm,vc,ly,T1,wu,Dt,yt,hr,Ue,at,Cw,Ci,ne,Sd,Nx);if(Ux&&(om=Ux.placedGlyphBoxes,om&&om.box&&om.box.length)){Gi=!0,Ja=Ux.shift;break}}return om},Jv=function(){return Pv(wd,Bi.iconBox,i.WritingMode.horizontal)},Iv=function(){var vc=Bi.verticalTextBox,eu=co&&co.box&&co.box.length;return ne.allowVerticalPlacement&&!eu&&Ci.numVerticalGlyphVertices>0&&vc?Pv(vc,Bi.verticalIconBox,i.WritingMode.vertical):{box:null,offscreen:null}};cg(Jv,Iv),co&&(Gi=co.box,zn=co.offscreen);var ay=Kv(co&&co.box);if(!Gi&&K.prevPlacement){var fg=K.prevPlacement.variableOffsets[Ci.crossTileID];fg&&(K.variableOffsets[Ci.crossTileID]=fg,K.markUsedJustification(ne,fg.anchor,Ci,ay))}}else{var pp=function(vc,eu){var Sd=K.collisionIndex.placeCollisionBox(vc,Rt,hr,Ue,at.predicate);return Sd&&Sd.box&&Sd.box.length&&(K.markUsedOrientation(ne,eu,Ci),K.placedOrientations[Ci.crossTileID]=eu),Sd},Td=function(){return pp(wd,i.WritingMode.horizontal)},gp=function(){var vc=Bi.verticalTextBox;return ne.allowVerticalPlacement&&Ci.numVerticalGlyphVertices>0&&vc?pp(vc,i.WritingMode.vertical):{box:null,offscreen:null}};cg(Td,gp),Kv(co&&co.box&&co.box.length)}}if(so=co,Gi=so&&so.box&&so.box.length>0,zn=so&&so.offscreen,Ci.useRuntimeCollisionCircles){var oh=ne.text.placedSymbolArray.get(Ci.centerJustifiedTextSymbolIndex),hg=i.evaluateSizeForFeature(ne.textSizeData,Qe,oh),oy=we.get(\"text-padding\"),jh=Ci.collisionCircleDiameter;Zo=K.collisionIndex.placeCollisionCircles(Rt,oh,ne.lineVertexArray,ne.glyphOffsetArray,hg,Ue,ft,Xt,q,yt,at.predicate,jh,oy),Gi=Rt||Zo.circles.length>0&&!Zo.collisionDetected,zn=zn&&Zo.offscreen}if(Bi.iconFeatureIndex&&(Lv=Bi.iconFeatureIndex),Bi.iconBox){var im=function(vc){var eu=Pt&&Ja?nc(vc,Ja.x,Ja.y,Dt,yt,K.transform.angle):vc;return K.collisionIndex.placeCollisionBox(eu,Bt,hr,Ue,at.predicate)};ts&&ts.box&&ts.box.length&&Bi.verticalIconBox?(ms=im(Bi.verticalIconBox),sn=ms.box.length>0):(ms=im(Bi.iconBox),sn=ms.box.length>0),zn=zn&&ms.offscreen}var b1=Ct||Ci.numHorizontalGlyphVertices===0&&Ci.numVerticalGlyphVertices===0,w1=Ot||Ci.numIconVertices===0;if(!b1&&!w1?sn=Gi=sn&&Gi:w1?b1||(sn=sn&&Gi):Gi=sn&&Gi,Gi&&so&&so.box&&(ts&&ts.box&&Cv?K.collisionIndex.insertCollisionBox(so.box,we.get(\"text-ignore-placement\"),ne.bucketInstanceId,Cv,at.ID):K.collisionIndex.insertCollisionBox(so.box,we.get(\"text-ignore-placement\"),ne.bucketInstanceId,ou,at.ID)),sn&&ms&&K.collisionIndex.insertCollisionBox(ms.box,we.get(\"icon-ignore-placement\"),ne.bucketInstanceId,Lv,at.ID),Zo&&(Gi&&K.collisionIndex.insertCollisionCircles(Zo.circles,we.get(\"text-ignore-placement\"),ne.bucketInstanceId,ou,at.ID),q)){var sy=ne.bucketInstanceId,nm=K.collisionCircleArrays[sy];nm===void 0&&(nm=K.collisionCircleArrays[sy]=new Io);for(var am=0;am<Zo.circles.length;am+=4)nm.circles.push(Zo.circles[am+0]),nm.circles.push(Zo.circles[am+1]),nm.circles.push(Zo.circles[am+2]),nm.circles.push(Zo.collisionDetected?1:0)}K.placements[Ci.crossTileID]=new zs(Gi||ur,sn||br,zn||ne.justReloaded),J[Ci.crossTileID]=!0}};if(ht)for(var Di=ne.getSortedSymbolIndexes(this.transform.angle),fi=Di.length-1;fi>=0;--fi){var Ti=Di[fi];Ur(ne.symbolInstances.get(Ti),ne.collisionArrays[Ti])}else for(var gn=D.symbolInstanceStart;gn<D.symbolInstanceEnd;gn++)Ur(ne.symbolInstances.get(gn),ne.collisionArrays[gn]);if(q&&ne.bucketInstanceId in this.collisionCircleArrays){var rn=this.collisionCircleArrays[ne.bucketInstanceId];i.invert(rn.invProjMatrix,Ue),rn.viewportMatrix=this.collisionIndex.getViewportMatrix()}ne.justReloaded=!1},bs.prototype.markUsedJustification=function(D,J,q,K){var de={left:q.leftJustifiedTextSymbolIndex,center:q.centerJustifiedTextSymbolIndex,right:q.rightJustifiedTextSymbolIndex},ne;K===i.WritingMode.vertical?ne=q.verticalPlacedTextSymbolIndex:ne=de[i.getAnchorJustification(J)];for(var we=[q.leftJustifiedTextSymbolIndex,q.centerJustifiedTextSymbolIndex,q.rightJustifiedTextSymbolIndex,q.verticalPlacedTextSymbolIndex],Ue=0,ft=we;Ue<ft.length;Ue+=1){var Xt=ft[Ue];Xt>=0&&(ne>=0&&Xt!==ne?D.text.placedSymbolArray.get(Xt).crossTileID=0:D.text.placedSymbolArray.get(Xt).crossTileID=q.crossTileID)}},bs.prototype.markUsedOrientation=function(D,J,q){for(var K=J===i.WritingMode.horizontal||J===i.WritingMode.horizontalOnly?J:0,de=J===i.WritingMode.vertical?J:0,ne=[q.leftJustifiedTextSymbolIndex,q.centerJustifiedTextSymbolIndex,q.rightJustifiedTextSymbolIndex],we=0,Ue=ne;we<Ue.length;we+=1){var ft=Ue[we];D.text.placedSymbolArray.get(ft).placedOrientation=K}q.verticalPlacedTextSymbolIndex&&(D.text.placedSymbolArray.get(q.verticalPlacedTextSymbolIndex).placedOrientation=de)},bs.prototype.commit=function(D){this.commitTime=D,this.zoomAtLastRecencyCheck=this.transform.zoom;var J=this.prevPlacement,q=!1;this.prevZoomAdjustment=J?J.zoomAdjustment(this.transform.zoom):0;var K=J?J.symbolFadeChange(D):1,de=J?J.opacities:{},ne=J?J.variableOffsets:{},we=J?J.placedOrientations:{};for(var Ue in this.placements){var ft=this.placements[Ue],Xt=de[Ue];Xt?(this.opacities[Ue]=new Ks(Xt,K,ft.text,ft.icon),q=q||ft.text!==Xt.text.placed||ft.icon!==Xt.icon.placed):(this.opacities[Ue]=new Ks(null,K,ft.text,ft.icon,ft.skipFade),q=q||ft.text||ft.icon)}for(var hr in de){var qt=de[hr];if(!this.opacities[hr]){var Ve=new Ks(qt,K,!1,!1);Ve.isHidden()||(this.opacities[hr]=Ve,q=q||qt.text.placed||qt.icon.placed)}}for(var Qe in ne)!this.variableOffsets[Qe]&&this.opacities[Qe]&&!this.opacities[Qe].isHidden()&&(this.variableOffsets[Qe]=ne[Qe]);for(var at in we)!this.placedOrientations[at]&&this.opacities[at]&&!this.opacities[at].isHidden()&&(this.placedOrientations[at]=we[at]);q?this.lastPlacementChangeTime=D:typeof this.lastPlacementChangeTime!=\"number\"&&(this.lastPlacementChangeTime=J?J.lastPlacementChangeTime:D)},bs.prototype.updateLayerOpacities=function(D,J){for(var q={},K=0,de=J;K<de.length;K+=1){var ne=de[K],we=ne.getBucket(D);we&&ne.latestFeatureIndex&&D.id===we.layerIds[0]&&this.updateBucketOpacities(we,q,ne.collisionBoxArray)}},bs.prototype.updateBucketOpacities=function(D,J,q){var K=this;D.hasTextData()&&D.text.opacityVertexArray.clear(),D.hasIconData()&&D.icon.opacityVertexArray.clear(),D.hasIconCollisionBoxData()&&D.iconCollisionBox.collisionVertexArray.clear(),D.hasTextCollisionBoxData()&&D.textCollisionBox.collisionVertexArray.clear();var de=D.layers[0].layout,ne=new Ks(null,0,!1,!1,!0),we=de.get(\"text-allow-overlap\"),Ue=de.get(\"icon-allow-overlap\"),ft=de.get(\"text-variable-anchor\"),Xt=de.get(\"text-rotation-alignment\")===\"map\",hr=de.get(\"text-pitch-alignment\")===\"map\",qt=de.get(\"icon-text-fit\")!==\"none\",Ve=new Ks(null,0,we&&(Ue||!D.hasIconData()||de.get(\"icon-optional\")),Ue&&(we||!D.hasTextData()||de.get(\"text-optional\")),!0);!D.collisionArrays&&q&&(D.hasIconCollisionBoxData()||D.hasTextCollisionBoxData())&&D.deserializeCollisionBoxes(q);for(var Qe=function(Rt,Bt,Dt){for(var yt=0;yt<Bt/4;yt++)Rt.opacityVertexArray.emplaceBack(Dt)},at=function(Rt){var Bt=D.symbolInstances.get(Rt),Dt=Bt.numHorizontalGlyphVertices,yt=Bt.numVerticalGlyphVertices,Pt=Bt.crossTileID,ht=J[Pt],ur=K.opacities[Pt];ht?ur=ne:ur||(ur=Ve,K.opacities[Pt]=ur),J[Pt]=!0;var br=Dt>0||yt>0,Ur=Bt.numIconVertices>0,Di=K.placedOrientations[Bt.crossTileID],fi=Di===i.WritingMode.vertical,Ti=Di===i.WritingMode.horizontal||Di===i.WritingMode.horizontalOnly;if(br){var gn=ac(ur.text),rn=fi?aa:gn;Qe(D.text,Dt,rn);var Ci=Ti?aa:gn;Qe(D.text,yt,Ci);var Bi=ur.text.isHidden();[Bt.rightJustifiedTextSymbolIndex,Bt.centerJustifiedTextSymbolIndex,Bt.leftJustifiedTextSymbolIndex].forEach(function(Lv){Lv>=0&&(D.text.placedSymbolArray.get(Lv).hidden=Bi||fi?1:0)}),Bt.verticalPlacedTextSymbolIndex>=0&&(D.text.placedSymbolArray.get(Bt.verticalPlacedTextSymbolIndex).hidden=Bi||Ti?1:0);var Gi=K.variableOffsets[Bt.crossTileID];Gi&&K.markUsedJustification(D,Gi.anchor,Bt,Di);var sn=K.placedOrientations[Bt.crossTileID];sn&&(K.markUsedJustification(D,\"left\",Bt,sn),K.markUsedOrientation(D,sn,Bt))}if(Ur){var zn=ac(ur.icon),Ja=!(qt&&Bt.verticalPlacedIconSymbolIndex&&fi);if(Bt.placedIconSymbolIndex>=0){var co=Ja?zn:aa;Qe(D.icon,Bt.numIconVertices,co),D.icon.placedSymbolArray.get(Bt.placedIconSymbolIndex).hidden=ur.icon.isHidden()}if(Bt.verticalPlacedIconSymbolIndex>=0){var ts=Ja?aa:zn;Qe(D.icon,Bt.numVerticalIconVertices,ts),D.icon.placedSymbolArray.get(Bt.verticalPlacedIconSymbolIndex).hidden=ur.icon.isHidden()}}if(D.hasIconCollisionBoxData()||D.hasTextCollisionBoxData()){var so=D.collisionArrays[Rt];if(so){var Zo=new i.Point(0,0);if(so.textBox||so.verticalTextBox){var ms=!0;if(ft){var ou=K.variableOffsets[Pt];ou?(Zo=Su(ou.anchor,ou.width,ou.height,ou.textOffset,ou.textBoxScale),Xt&&Zo._rotate(hr?K.transform.angle:-K.transform.angle)):ms=!1}so.textBox&&Rn(D.textCollisionBox.collisionVertexArray,ur.text.placed,!ms||fi,Zo.x,Zo.y),so.verticalTextBox&&Rn(D.textCollisionBox.collisionVertexArray,ur.text.placed,!ms||Ti,Zo.x,Zo.y)}var Cv=!!(!Ti&&so.verticalIconBox);so.iconBox&&Rn(D.iconCollisionBox.collisionVertexArray,ur.icon.placed,Cv,qt?Zo.x:0,qt?Zo.y:0),so.verticalIconBox&&Rn(D.iconCollisionBox.collisionVertexArray,ur.icon.placed,!Cv,qt?Zo.x:0,qt?Zo.y:0)}}},Ct=0;Ct<D.symbolInstances.length;Ct++)at(Ct);if(D.sortFeatures(this.transform.angle),this.retainedQueryData[D.bucketInstanceId]&&(this.retainedQueryData[D.bucketInstanceId].featureSortOrder=D.featureSortOrder),D.hasTextData()&&D.text.opacityVertexBuffer&&D.text.opacityVertexBuffer.updateData(D.text.opacityVertexArray),D.hasIconData()&&D.icon.opacityVertexBuffer&&D.icon.opacityVertexBuffer.updateData(D.icon.opacityVertexArray),D.hasIconCollisionBoxData()&&D.iconCollisionBox.collisionVertexBuffer&&D.iconCollisionBox.collisionVertexBuffer.updateData(D.iconCollisionBox.collisionVertexArray),D.hasTextCollisionBoxData()&&D.textCollisionBox.collisionVertexBuffer&&D.textCollisionBox.collisionVertexBuffer.updateData(D.textCollisionBox.collisionVertexArray),D.bucketInstanceId in this.collisionCircleArrays){var Ot=this.collisionCircleArrays[D.bucketInstanceId];D.placementInvProjMatrix=Ot.invProjMatrix,D.placementViewportMatrix=Ot.viewportMatrix,D.collisionCircleArray=Ot.circles,delete this.collisionCircleArrays[D.bucketInstanceId]}},bs.prototype.symbolFadeChange=function(D){return this.fadeDuration===0?1:(D-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},bs.prototype.zoomAdjustment=function(D){return Math.max(0,(this.transform.zoom-D)/1.5)},bs.prototype.hasTransitions=function(D){return this.stale||D-this.lastPlacementChangeTime<this.fadeDuration},bs.prototype.stillRecent=function(D,J){var q=this.zoomAtLastRecencyCheck===J?1-this.zoomAdjustment(J):1;return this.zoomAtLastRecencyCheck=J,this.commitTime+this.fadeDuration*q>D},bs.prototype.setStale=function(){this.stale=!0};function Rn(Y,D,J,q,K){Y.emplaceBack(D?1:0,J?1:0,q||0,K||0),Y.emplaceBack(D?1:0,J?1:0,q||0,K||0),Y.emplaceBack(D?1:0,J?1:0,q||0,K||0),Y.emplaceBack(D?1:0,J?1:0,q||0,K||0)}var _a=Math.pow(2,25),Vu=Math.pow(2,24),Ol=Math.pow(2,17),xo=Math.pow(2,16),Yl=Math.pow(2,9),Ns=Math.pow(2,8),Hl=Math.pow(2,1);function ac(Y){if(Y.opacity===0&&!Y.placed)return 0;if(Y.opacity===1&&Y.placed)return 4294967295;var D=Y.placed?1:0,J=Math.floor(Y.opacity*127);return J*_a+D*Vu+J*Ol+D*xo+J*Yl+D*Ns+J*Hl+D}var aa=0,Oo=function(D){this._sortAcrossTiles=D.layout.get(\"symbol-z-order\")!==\"viewport-y\"&&D.layout.get(\"symbol-sort-key\").constantOr(1)!==void 0,this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Oo.prototype.continuePlacement=function(D,J,q,K,de){for(var ne=this._bucketParts;this._currentTileIndex<D.length;){var we=D[this._currentTileIndex];if(J.getBucketParts(ne,K,we,this._sortAcrossTiles),this._currentTileIndex++,de())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,ne.sort(function(ft,Xt){return ft.sortKey-Xt.sortKey}));this._currentPartIndex<ne.length;){var Ue=ne[this._currentPartIndex];if(J.placeLayerBucketPart(Ue,this._seenCrossTileIDs,q),this._currentPartIndex++,de())return!0}return!1};var qo=function(D,J,q,K,de,ne,we){this.placement=new bs(D,de,ne,we),this._currentPlacementIndex=J.length-1,this._forceFullPlacement=q,this._showCollisionBoxes=K,this._done=!1};qo.prototype.isDone=function(){return this._done},qo.prototype.continuePlacement=function(D,J,q){for(var K=this,de=i.browser.now(),ne=function(){var hr=i.browser.now()-de;return K._forceFullPlacement?!1:hr>2};this._currentPlacementIndex>=0;){var we=D[this._currentPlacementIndex],Ue=J[we],ft=this.placement.collisionIndex.transform.zoom;if(Ue.type===\"symbol\"&&(!Ue.minzoom||Ue.minzoom<=ft)&&(!Ue.maxzoom||Ue.maxzoom>ft)){this._inProgressLayer||(this._inProgressLayer=new Oo(Ue));var Xt=this._inProgressLayer.continuePlacement(q[Ue.source],this.placement,this._showCollisionBoxes,Ue,ne);if(Xt)return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},qo.prototype.commit=function(D){return this.placement.commit(D),this.placement};var ql=512/i.EXTENT/2,Pc=function(D,J,q){this.tileID=D,this.indexedSymbolInstances={},this.bucketInstanceId=q;for(var K=0;K<J.length;K++){var de=J.get(K),ne=de.key;this.indexedSymbolInstances[ne]||(this.indexedSymbolInstances[ne]=[]),this.indexedSymbolInstances[ne].push({crossTileID:de.crossTileID,coord:this.getScaledCoordinates(de,D)})}};Pc.prototype.getScaledCoordinates=function(D,J){var q=J.canonical.z-this.tileID.canonical.z,K=ql/Math.pow(2,q);return{x:Math.floor((J.canonical.x*i.EXTENT+D.anchorX)*K),y:Math.floor((J.canonical.y*i.EXTENT+D.anchorY)*K)}},Pc.prototype.findMatches=function(D,J,q){for(var K=this.tileID.canonical.z<J.canonical.z?1:Math.pow(2,this.tileID.canonical.z-J.canonical.z),de=0;de<D.length;de++){var ne=D.get(de);if(!ne.crossTileID){var we=this.indexedSymbolInstances[ne.key];if(we)for(var Ue=this.getScaledCoordinates(ne,J),ft=0,Xt=we;ft<Xt.length;ft+=1){var hr=Xt[ft];if(Math.abs(hr.coord.x-Ue.x)<=K&&Math.abs(hr.coord.y-Ue.y)<=K&&!q[hr.crossTileID]){q[hr.crossTileID]=!0,ne.crossTileID=hr.crossTileID;break}}}}};var Do=function(){this.maxCrossTileID=0};Do.prototype.generate=function(){return++this.maxCrossTileID};var rf=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};rf.prototype.handleWrapJump=function(D){var J=Math.round((D-this.lng)/360);if(J!==0)for(var q in this.indexes){var K=this.indexes[q],de={};for(var ne in K){var we=K[ne];we.tileID=we.tileID.unwrapTo(we.tileID.wrap+J),de[we.tileID.key]=we}this.indexes[q]=de}this.lng=D},rf.prototype.addBucket=function(D,J,q){if(this.indexes[D.overscaledZ]&&this.indexes[D.overscaledZ][D.key]){if(this.indexes[D.overscaledZ][D.key].bucketInstanceId===J.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(D.overscaledZ,this.indexes[D.overscaledZ][D.key])}for(var K=0;K<J.symbolInstances.length;K++){var de=J.symbolInstances.get(K);de.crossTileID=0}this.usedCrossTileIDs[D.overscaledZ]||(this.usedCrossTileIDs[D.overscaledZ]={});var ne=this.usedCrossTileIDs[D.overscaledZ];for(var we in this.indexes){var Ue=this.indexes[we];if(Number(we)>D.overscaledZ)for(var ft in Ue){var Xt=Ue[ft];Xt.tileID.isChildOf(D)&&Xt.findMatches(J.symbolInstances,D,ne)}else{var hr=D.scaledTo(Number(we)),qt=Ue[hr.key];qt&&qt.findMatches(J.symbolInstances,D,ne)}}for(var Ve=0;Ve<J.symbolInstances.length;Ve++){var Qe=J.symbolInstances.get(Ve);Qe.crossTileID||(Qe.crossTileID=q.generate(),ne[Qe.crossTileID]=!0)}return this.indexes[D.overscaledZ]===void 0&&(this.indexes[D.overscaledZ]={}),this.indexes[D.overscaledZ][D.key]=new Pc(D,J.symbolInstances,J.bucketInstanceId),!0},rf.prototype.removeBucketCrossTileIDs=function(D,J){for(var q in J.indexedSymbolInstances)for(var K=0,de=J.indexedSymbolInstances[q];K<de.length;K+=1){var ne=de[K];delete this.usedCrossTileIDs[D][ne.crossTileID]}},rf.prototype.removeStaleBuckets=function(D){var J=!1;for(var q in this.indexes){var K=this.indexes[q];for(var de in K)D[K[de].bucketInstanceId]||(this.removeBucketCrossTileIDs(q,K[de]),delete K[de],J=!0)}return J};var Uf=function(){this.layerIndexes={},this.crossTileIDs=new Do,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Uf.prototype.addLayer=function(D,J,q){var K=this.layerIndexes[D.id];K===void 0&&(K=this.layerIndexes[D.id]=new rf);var de=!1,ne={};K.handleWrapJump(q);for(var we=0,Ue=J;we<Ue.length;we+=1){var ft=Ue[we],Xt=ft.getBucket(D);!Xt||D.id!==Xt.layerIds[0]||(Xt.bucketInstanceId||(Xt.bucketInstanceId=++this.maxBucketInstanceId),K.addBucket(ft.tileID,Xt,this.crossTileIDs)&&(de=!0),ne[Xt.bucketInstanceId]=!0)}return K.removeStaleBuckets(ne)&&(de=!0),de},Uf.prototype.pruneUnusedLayers=function(D){var J={};D.forEach(function(K){J[K]=!0});for(var q in this.layerIndexes)J[q]||delete this.layerIndexes[q]};var pl=function(Y,D){return i.emitValidationErrors(Y,D&&D.filter(function(J){return J.identifier!==\"source.canvas\"}))},Zc=i.pick(da,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Kl=i.pick(da,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),Os=Wo(),yu=function(Y){function D(J,q){var K=this;q===void 0&&(q={}),Y.call(this),this.map=J,this.dispatcher=new Z(Ba(),this),this.imageManager=new k,this.imageManager.setEventedParent(this),this.glyphManager=new P(J._requestManager,q.localIdeographFontFamily),this.lineAtlas=new G(256,512),this.crossTileSymbolIndex=new Uf,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new i.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",i.getReferrer());var de=this;this._rtlTextPluginCallback=D.registerForPluginStateChange(function(ne){var we={pluginStatus:ne.pluginStatus,pluginURL:ne.pluginURL};de.dispatcher.broadcast(\"syncRTLPluginState\",we,function(Ue,ft){if(i.triggerPluginCompletionEvent(Ue),ft){var Xt=ft.every(function(qt){return qt});if(Xt)for(var hr in de.sourceCaches)de.sourceCaches[hr].reload()}})}),this.on(\"data\",function(ne){if(!(ne.dataType!==\"source\"||ne.sourceDataType!==\"metadata\")){var we=K.sourceCaches[ne.sourceId];if(we){var Ue=we.getSource();if(!(!Ue||!Ue.vectorLayerIds))for(var ft in K._layers){var Xt=K._layers[ft];Xt.source===Ue.id&&K._validateLayer(Xt)}}}})}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.loadURL=function(q,K){var de=this;K===void 0&&(K={}),this.fire(new i.Event(\"dataloading\",{dataType:\"style\"}));var ne=typeof K.validate==\"boolean\"?K.validate:!i.isMapboxURL(q);q=this.map._requestManager.normalizeStyleURL(q,K.accessToken);var we=this.map._requestManager.transformRequest(q,i.ResourceType.Style);this._request=i.getJSON(we,function(Ue,ft){de._request=null,Ue?de.fire(new i.ErrorEvent(Ue)):ft&&de._load(ft,ne)})},D.prototype.loadJSON=function(q,K){var de=this;K===void 0&&(K={}),this.fire(new i.Event(\"dataloading\",{dataType:\"style\"})),this._request=i.browser.frame(function(){de._request=null,de._load(q,K.validate!==!1)})},D.prototype.loadEmpty=function(){this.fire(new i.Event(\"dataloading\",{dataType:\"style\"})),this._load(Os,!1)},D.prototype._load=function(q,K){if(!(K&&pl(this,i.validateStyle(q)))){this._loaded=!0,this.stylesheet=q;for(var de in q.sources)this.addSource(de,q.sources[de],{validate:!1});q.sprite?this._loadSprite(q.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(q.glyphs);var ne=Fa(this.stylesheet.layers);this._order=ne.map(function(Xt){return Xt.id}),this._layers={},this._serializedLayers={};for(var we=0,Ue=ne;we<Ue.length;we+=1){var ft=Ue[we];ft=i.createStyleLayer(ft),ft.setEventedParent(this,{layer:{id:ft.id}}),this._layers[ft.id]=ft,this._serializedLayers[ft.id]=ft.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new V(this.stylesheet.light),this.fire(new i.Event(\"data\",{dataType:\"style\"})),this.fire(new i.Event(\"style.load\"))}},D.prototype._loadSprite=function(q){var K=this;this._spriteRequest=_(q,this.map._requestManager,function(de,ne){if(K._spriteRequest=null,de)K.fire(new i.ErrorEvent(de));else if(ne)for(var we in ne)K.imageManager.addImage(we,ne[we]);K.imageManager.setLoaded(!0),K._availableImages=K.imageManager.listImages(),K.dispatcher.broadcast(\"setImages\",K._availableImages),K.fire(new i.Event(\"data\",{dataType:\"style\"}))})},D.prototype._validateLayer=function(q){var K=this.sourceCaches[q.source];if(K){var de=q.sourceLayer;if(de){var ne=K.getSource();(ne.type===\"geojson\"||ne.vectorLayerIds&&ne.vectorLayerIds.indexOf(de)===-1)&&this.fire(new i.ErrorEvent(new Error('Source layer \"'+de+'\" does not exist on source \"'+ne.id+'\" as specified by style layer \"'+q.id+'\"')))}}},D.prototype.loaded=function(){if(!this._loaded||Object.keys(this._updatedSources).length)return!1;for(var q in this.sourceCaches)if(!this.sourceCaches[q].loaded())return!1;return!!this.imageManager.isLoaded()},D.prototype._serializeLayers=function(q){for(var K=[],de=0,ne=q;de<ne.length;de+=1){var we=ne[de],Ue=this._layers[we];Ue.type!==\"custom\"&&K.push(Ue.serialize())}return K},D.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var q in this.sourceCaches)if(this.sourceCaches[q].hasTransition())return!0;for(var K in this._layers)if(this._layers[K].hasTransition())return!0;return!1},D.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},D.prototype.update=function(q){if(this._loaded){var K=this._changed;if(this._changed){var de=Object.keys(this._updatedLayers),ne=Object.keys(this._removedLayers);(de.length||ne.length)&&this._updateWorkerLayers(de,ne);for(var we in this._updatedSources){var Ue=this._updatedSources[we];Ue===\"reload\"?this._reloadSource(we):Ue===\"clear\"&&this._clearSource(we)}this._updateTilesForChangedImages();for(var ft in this._updatedPaintProps)this._layers[ft].updateTransitions(q);this.light.updateTransitions(q),this._resetUpdates()}var Xt={};for(var hr in this.sourceCaches){var qt=this.sourceCaches[hr];Xt[hr]=qt.used,qt.used=!1}for(var Ve=0,Qe=this._order;Ve<Qe.length;Ve+=1){var at=Qe[Ve],Ct=this._layers[at];Ct.recalculate(q,this._availableImages),!Ct.isHidden(q.zoom)&&Ct.source&&(this.sourceCaches[Ct.source].used=!0)}for(var Ot in Xt){var Rt=this.sourceCaches[Ot];Xt[Ot]!==Rt.used&&Rt.fire(new i.Event(\"data\",{sourceDataType:\"visibility\",dataType:\"source\",sourceId:Ot}))}this.light.recalculate(q),this.z=q.zoom,K&&this.fire(new i.Event(\"data\",{dataType:\"style\"}))}},D.prototype._updateTilesForChangedImages=function(){var q=Object.keys(this._changedImages);if(q.length){for(var K in this.sourceCaches)this.sourceCaches[K].reloadTilesForDependencies([\"icons\",\"patterns\"],q);this._changedImages={}}},D.prototype._updateWorkerLayers=function(q,K){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(q),removedIds:K})},D.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},D.prototype.setState=function(q){var K=this;if(this._checkLoaded(),pl(this,i.validateStyle(q)))return!1;q=i.clone$1(q),q.layers=Fa(q.layers);var de=An(this.serialize(),q).filter(function(we){return!(we.command in Kl)});if(de.length===0)return!1;var ne=de.filter(function(we){return!(we.command in Zc)});if(ne.length>0)throw new Error(\"Unimplemented: \"+ne.map(function(we){return we.command}).join(\", \")+\".\");return de.forEach(function(we){we.command!==\"setTransition\"&&K[we.command].apply(K,we.args)}),this.stylesheet=q,!0},D.prototype.addImage=function(q,K){if(this.getImage(q))return this.fire(new i.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(q,K),this._afterImageUpdated(q)},D.prototype.updateImage=function(q,K){this.imageManager.updateImage(q,K)},D.prototype.getImage=function(q){return this.imageManager.getImage(q)},D.prototype.removeImage=function(q){if(!this.getImage(q))return this.fire(new i.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(q),this._afterImageUpdated(q)},D.prototype._afterImageUpdated=function(q){this._availableImages=this.imageManager.listImages(),this._changedImages[q]=!0,this._changed=!0,this.dispatcher.broadcast(\"setImages\",this._availableImages),this.fire(new i.Event(\"data\",{dataType:\"style\"}))},D.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},D.prototype.addSource=function(q,K,de){var ne=this;if(de===void 0&&(de={}),this._checkLoaded(),this.sourceCaches[q]!==void 0)throw new Error(\"There is already a source with this ID\");if(!K.type)throw new Error(\"The type property must be defined, but only the following properties were given: \"+Object.keys(K).join(\", \")+\".\");var we=[\"vector\",\"raster\",\"geojson\",\"video\",\"image\"],Ue=we.indexOf(K.type)>=0;if(!(Ue&&this._validate(i.validateStyle.source,\"sources.\"+q,K,null,de))){this.map&&this.map._collectResourceTiming&&(K.collectResourceTiming=!0);var ft=this.sourceCaches[q]=new ri(q,K,this.dispatcher);ft.style=this,ft.setEventedParent(this,function(){return{isSourceLoaded:ne.loaded(),source:ft.serialize(),sourceId:q}}),ft.onAdd(this.map),this._changed=!0}},D.prototype.removeSource=function(q){if(this._checkLoaded(),this.sourceCaches[q]===void 0)throw new Error(\"There is no source with this ID\");for(var K in this._layers)if(this._layers[K].source===q)return this.fire(new i.ErrorEvent(new Error('Source \"'+q+'\" cannot be removed while layer \"'+K+'\" is using it.')));var de=this.sourceCaches[q];delete this.sourceCaches[q],delete this._updatedSources[q],de.fire(new i.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:q})),de.setEventedParent(null),de.clearTiles(),de.onRemove&&de.onRemove(this.map),this._changed=!0},D.prototype.setGeoJSONSourceData=function(q,K){this._checkLoaded();var de=this.sourceCaches[q].getSource();de.setData(K),this._changed=!0},D.prototype.getSource=function(q){return this.sourceCaches[q]&&this.sourceCaches[q].getSource()},D.prototype.addLayer=function(q,K,de){de===void 0&&(de={}),this._checkLoaded();var ne=q.id;if(this.getLayer(ne)){this.fire(new i.ErrorEvent(new Error('Layer with id \"'+ne+'\" already exists on this map')));return}var we;if(q.type===\"custom\"){if(pl(this,i.validateCustomStyleLayer(q)))return;we=i.createStyleLayer(q)}else{if(typeof q.source==\"object\"&&(this.addSource(ne,q.source),q=i.clone$1(q),q=i.extend(q,{source:ne})),this._validate(i.validateStyle.layer,\"layers.\"+ne,q,{arrayIndex:-1},de))return;we=i.createStyleLayer(q),this._validateLayer(we),we.setEventedParent(this,{layer:{id:ne}}),this._serializedLayers[we.id]=we.serialize()}var Ue=K?this._order.indexOf(K):this._order.length;if(K&&Ue===-1){this.fire(new i.ErrorEvent(new Error('Layer with id \"'+K+'\" does not exist on this map.')));return}if(this._order.splice(Ue,0,ne),this._layerOrderChanged=!0,this._layers[ne]=we,this._removedLayers[ne]&&we.source&&we.type!==\"custom\"){var ft=this._removedLayers[ne];delete this._removedLayers[ne],ft.type!==we.type?this._updatedSources[we.source]=\"clear\":(this._updatedSources[we.source]=\"reload\",this.sourceCaches[we.source].pause())}this._updateLayer(we),we.onAdd&&we.onAdd(this.map)},D.prototype.moveLayer=function(q,K){this._checkLoaded(),this._changed=!0;var de=this._layers[q];if(!de){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+q+\"' does not exist in the map's style and cannot be moved.\")));return}if(q!==K){var ne=this._order.indexOf(q);this._order.splice(ne,1);var we=K?this._order.indexOf(K):this._order.length;if(K&&we===-1){this.fire(new i.ErrorEvent(new Error('Layer with id \"'+K+'\" does not exist on this map.')));return}this._order.splice(we,0,q),this._layerOrderChanged=!0}},D.prototype.removeLayer=function(q){this._checkLoaded();var K=this._layers[q];if(!K){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+q+\"' does not exist in the map's style and cannot be removed.\")));return}K.setEventedParent(null);var de=this._order.indexOf(q);this._order.splice(de,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[q]=K,delete this._layers[q],delete this._serializedLayers[q],delete this._updatedLayers[q],delete this._updatedPaintProps[q],K.onRemove&&K.onRemove(this.map)},D.prototype.getLayer=function(q){return this._layers[q]},D.prototype.hasLayer=function(q){return q in this._layers},D.prototype.setLayerZoomRange=function(q,K,de){this._checkLoaded();var ne=this.getLayer(q);if(!ne){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+q+\"' does not exist in the map's style and cannot have zoom extent.\")));return}ne.minzoom===K&&ne.maxzoom===de||(K!=null&&(ne.minzoom=K),de!=null&&(ne.maxzoom=de),this._updateLayer(ne))},D.prototype.setFilter=function(q,K,de){de===void 0&&(de={}),this._checkLoaded();var ne=this.getLayer(q);if(!ne){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+q+\"' does not exist in the map's style and cannot be filtered.\")));return}if(!i.deepEqual(ne.filter,K)){if(K==null){ne.filter=void 0,this._updateLayer(ne);return}this._validate(i.validateStyle.filter,\"layers.\"+ne.id+\".filter\",K,null,de)||(ne.filter=i.clone$1(K),this._updateLayer(ne))}},D.prototype.getFilter=function(q){return i.clone$1(this.getLayer(q).filter)},D.prototype.setLayoutProperty=function(q,K,de,ne){ne===void 0&&(ne={}),this._checkLoaded();var we=this.getLayer(q);if(!we){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+q+\"' does not exist in the map's style and cannot be styled.\")));return}i.deepEqual(we.getLayoutProperty(K),de)||(we.setLayoutProperty(K,de,ne),this._updateLayer(we))},D.prototype.getLayoutProperty=function(q,K){var de=this.getLayer(q);if(!de){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+q+\"' does not exist in the map's style.\")));return}return de.getLayoutProperty(K)},D.prototype.setPaintProperty=function(q,K,de,ne){ne===void 0&&(ne={}),this._checkLoaded();var we=this.getLayer(q);if(!we){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+q+\"' does not exist in the map's style and cannot be styled.\")));return}if(!i.deepEqual(we.getPaintProperty(K),de)){var Ue=we.setPaintProperty(K,de,ne);Ue&&this._updateLayer(we),this._changed=!0,this._updatedPaintProps[q]=!0}},D.prototype.getPaintProperty=function(q,K){return this.getLayer(q).getPaintProperty(K)},D.prototype.setFeatureState=function(q,K){this._checkLoaded();var de=q.source,ne=q.sourceLayer,we=this.sourceCaches[de];if(we===void 0){this.fire(new i.ErrorEvent(new Error(\"The source '\"+de+\"' does not exist in the map's style.\")));return}var Ue=we.getSource().type;if(Ue===\"geojson\"&&ne){this.fire(new i.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\")));return}if(Ue===\"vector\"&&!ne){this.fire(new i.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")));return}q.id===void 0&&this.fire(new i.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),we.setFeatureState(ne,q.id,K)},D.prototype.removeFeatureState=function(q,K){this._checkLoaded();var de=q.source,ne=this.sourceCaches[de];if(ne===void 0){this.fire(new i.ErrorEvent(new Error(\"The source '\"+de+\"' does not exist in the map's style.\")));return}var we=ne.getSource().type,Ue=we===\"vector\"?q.sourceLayer:void 0;if(we===\"vector\"&&!Ue){this.fire(new i.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")));return}if(K&&typeof q.id!=\"string\"&&typeof q.id!=\"number\"){this.fire(new i.ErrorEvent(new Error(\"A feature id is required to remove its specific state property.\")));return}ne.removeFeatureState(Ue,q.id,K)},D.prototype.getFeatureState=function(q){this._checkLoaded();var K=q.source,de=q.sourceLayer,ne=this.sourceCaches[K];if(ne===void 0){this.fire(new i.ErrorEvent(new Error(\"The source '\"+K+\"' does not exist in the map's style.\")));return}var we=ne.getSource().type;if(we===\"vector\"&&!de){this.fire(new i.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")));return}return q.id===void 0&&this.fire(new i.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),ne.getFeatureState(de,q.id)},D.prototype.getTransition=function(){return i.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},D.prototype.serialize=function(){return i.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:i.mapObject(this.sourceCaches,function(q){return q.serialize()}),layers:this._serializeLayers(this._order)},function(q){return q!==void 0})},D.prototype._updateLayer=function(q){this._updatedLayers[q.id]=!0,q.source&&!this._updatedSources[q.source]&&this.sourceCaches[q.source].getSource().type!==\"raster\"&&(this._updatedSources[q.source]=\"reload\",this.sourceCaches[q.source].pause()),this._changed=!0},D.prototype._flattenAndSortRenderedFeatures=function(q){for(var K=this,de=function(Ti){return K._layers[Ti].type===\"fill-extrusion\"},ne={},we=[],Ue=this._order.length-1;Ue>=0;Ue--){var ft=this._order[Ue];if(de(ft)){ne[ft]=Ue;for(var Xt=0,hr=q;Xt<hr.length;Xt+=1){var qt=hr[Xt],Ve=qt[ft];if(Ve)for(var Qe=0,at=Ve;Qe<at.length;Qe+=1){var Ct=at[Qe];we.push(Ct)}}}}we.sort(function(Ti,gn){return gn.intersectionZ-Ti.intersectionZ});for(var Ot=[],Rt=this._order.length-1;Rt>=0;Rt--){var Bt=this._order[Rt];if(de(Bt))for(var Dt=we.length-1;Dt>=0;Dt--){var yt=we[Dt].feature;if(ne[yt.layer.id]<Rt)break;Ot.push(yt),we.pop()}else for(var Pt=0,ht=q;Pt<ht.length;Pt+=1){var ur=ht[Pt],br=ur[Bt];if(br)for(var Ur=0,Di=br;Ur<Di.length;Ur+=1){var fi=Di[Ur];Ot.push(fi.feature)}}}return Ot},D.prototype.queryRenderedFeatures=function(q,K,de){K&&K.filter&&this._validate(i.validateStyle.filter,\"queryRenderedFeatures.filter\",K.filter,null,K);var ne={};if(K&&K.layers){if(!Array.isArray(K.layers))return this.fire(new i.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var we=0,Ue=K.layers;we<Ue.length;we+=1){var ft=Ue[we],Xt=this._layers[ft];if(!Xt)return this.fire(new i.ErrorEvent(new Error(\"The layer '\"+ft+\"' does not exist in the map's style and cannot be queried for features.\"))),[];ne[Xt.source]=!0}}var hr=[];K.availableImages=this._availableImages;for(var qt in this.sourceCaches)K.layers&&!ne[qt]||hr.push(ce(this.sourceCaches[qt],this._layers,this._serializedLayers,q,K,de));return this.placement&&hr.push(Ze(this._layers,this._serializedLayers,this.sourceCaches,q,K,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(hr)},D.prototype.querySourceFeatures=function(q,K){K&&K.filter&&this._validate(i.validateStyle.filter,\"querySourceFeatures.filter\",K.filter,null,K);var de=this.sourceCaches[q];return de?ut(de,K):[]},D.prototype.addSourceType=function(q,K,de){if(D.getSourceType(q))return de(new Error('A source type called \"'+q+'\" already exists.'));if(D.setSourceType(q,K),!K.workerSourceURL)return de(null,null);this.dispatcher.broadcast(\"loadWorkerSource\",{name:q,url:K.workerSourceURL},de)},D.prototype.getLight=function(){return this.light.getLight()},D.prototype.setLight=function(q,K){K===void 0&&(K={}),this._checkLoaded();var de=this.light.getLight(),ne=!1;for(var we in q)if(!i.deepEqual(q[we],de[we])){ne=!0;break}if(ne){var Ue={now:i.browser.now(),transition:i.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(q,K),this.light.updateTransitions(Ue)}},D.prototype._validate=function(q,K,de,ne,we){return we===void 0&&(we={}),we&&we.validate===!1?!1:pl(this,q.call(i.validateStyle,i.extend({key:K,style:this.serialize(),value:de,styleSpec:i.styleSpec},ne)))},D.prototype._remove=function(){this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),i.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback);for(var q in this._layers){var K=this._layers[q];K.setEventedParent(null)}for(var de in this.sourceCaches)this.sourceCaches[de].clearTiles(),this.sourceCaches[de].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},D.prototype._clearSource=function(q){this.sourceCaches[q].clearTiles()},D.prototype._reloadSource=function(q){this.sourceCaches[q].resume(),this.sourceCaches[q].reload()},D.prototype._updateSources=function(q){for(var K in this.sourceCaches)this.sourceCaches[K].update(q)},D.prototype._generateCollisionBoxes=function(){for(var q in this.sourceCaches)this._reloadSource(q)},D.prototype._updatePlacement=function(q,K,de,ne,we){we===void 0&&(we=!1);for(var Ue=!1,ft=!1,Xt={},hr=0,qt=this._order;hr<qt.length;hr+=1){var Ve=qt[hr],Qe=this._layers[Ve];if(Qe.type===\"symbol\"){if(!Xt[Qe.source]){var at=this.sourceCaches[Qe.source];Xt[Qe.source]=at.getRenderableIds(!0).map(function(Pt){return at.getTileByID(Pt)}).sort(function(Pt,ht){return ht.tileID.overscaledZ-Pt.tileID.overscaledZ||(Pt.tileID.isLessThan(ht.tileID)?-1:1)})}var Ct=this.crossTileSymbolIndex.addLayer(Qe,Xt[Qe.source],q.center.lng);Ue=Ue||Ct}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),we=we||this._layerOrderChanged||de===0,(we||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(i.browser.now(),q.zoom))&&(this.pauseablePlacement=new qo(q,this._order,we,K,de,ne,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,Xt),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(i.browser.now()),ft=!0),Ue&&this.pauseablePlacement.placement.setStale()),ft||Ue)for(var Ot=0,Rt=this._order;Ot<Rt.length;Ot+=1){var Bt=Rt[Ot],Dt=this._layers[Bt];Dt.type===\"symbol\"&&this.placement.updateLayerOpacities(Dt,Xt[Dt.source])}var yt=!this.pauseablePlacement.isDone()||this.placement.hasTransitions(i.browser.now());return yt},D.prototype._releaseSymbolFadeTiles=function(){for(var q in this.sourceCaches)this.sourceCaches[q].releaseSymbolFadeTiles()},D.prototype.getImages=function(q,K,de){this.imageManager.getImages(K.icons,de),this._updateTilesForChangedImages();var ne=this.sourceCaches[K.source];ne&&ne.setDependencies(K.tileID.key,K.type,K.icons)},D.prototype.getGlyphs=function(q,K,de){this.glyphManager.getGlyphs(K.stacks,de)},D.prototype.getResource=function(q,K,de){return i.makeRequest(K,de)},D}(i.Evented);yu.getSourceType=Fe,yu.setSourceType=Pe,yu.registerForPluginStateChange=i.registerForPluginStateChange;var oc=i.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Cf=`#ifdef GL_ES\n",
       "precision 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`,sc=`#ifdef GL_ES\n",
       "precision 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\n",
       "vec2 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;}`,Vh=`uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\n",
       "#ifdef OVERDRAW_INSPECTOR\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,Lf=\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\",cs=`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\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,nf=\"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);}\",Vf=`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\n",
       "void 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\n",
       "vec2 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\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,Jl=`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\n",
       "void 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\n",
       "vec2 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);}`,fl=\"void main() {gl_FragColor=vec4(1.0);}\",lc=\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\",Fu=`uniform highp float u_intensity;varying vec2 v_extrude;\n",
       "#pragma mapbox: define highp float weight\n",
       "#define GAUSS_COEF 0.3989422804014327\n",
       "void main() {\n",
       "#pragma mapbox: initialize highp float weight\n",
       "float 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\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,Es=`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\n",
       "const highp float ZERO=1.0/255.0/16.0;\n",
       "#define GAUSS_COEF 0.3989422804014327\n",
       "void main(void) {\n",
       "#pragma mapbox: initialize highp float weight\n",
       "#pragma mapbox: initialize mediump float radius\n",
       "vec2 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;}`,Hs=`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\n",
       "gl_FragColor=vec4(0.0);\n",
       "#endif\n",
       "}`,Go=\"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;}\",ps=\"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;}}\",uc=\"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;}\",xl=\"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;}\",Gu=\"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);}\",qs=\"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);}\",ad=\"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);}\",Po=`#pragma mapbox: define highp vec4 color\n",
       "#pragma mapbox: define lowp float opacity\n",
       "void main() {\n",
       "#pragma mapbox: initialize highp vec4 color\n",
       "#pragma mapbox: initialize lowp float opacity\n",
       "gl_FragColor=color*opacity;\n",
       "#ifdef OVERDRAW_INSPECTOR\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,od=`attribute vec2 a_pos;uniform mat4 u_matrix;\n",
       "#pragma mapbox: define highp vec4 color\n",
       "#pragma mapbox: define lowp float opacity\n",
       "void main() {\n",
       "#pragma mapbox: initialize highp vec4 color\n",
       "#pragma mapbox: initialize lowp float opacity\n",
       "gl_Position=u_matrix*vec4(a_pos,0,1);}`,Yo=`varying vec2 v_pos;\n",
       "#pragma mapbox: define highp vec4 outline_color\n",
       "#pragma mapbox: define lowp float opacity\n",
       "void main() {\n",
       "#pragma mapbox: initialize highp vec4 outline_color\n",
       "#pragma mapbox: initialize lowp float opacity\n",
       "float 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\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,Pa=`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\n",
       "void main() {\n",
       "#pragma mapbox: initialize highp vec4 outline_color\n",
       "#pragma mapbox: initialize lowp float opacity\n",
       "gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}`,af=`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\n",
       "void 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",
       "vec2 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\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,Hu=`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\n",
       "void 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\n",
       "vec2 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;}`,bl=`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\n",
       "void 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",
       "vec2 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\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,Gf=`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\n",
       "void 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\n",
       "vec2 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);}`,Ic=`varying vec4 v_color;void main() {gl_FragColor=v_color;\n",
       "#ifdef OVERDRAW_INSPECTOR\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,yf=`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\n",
       "void main() {\n",
       "#pragma mapbox: initialize highp float base\n",
       "#pragma mapbox: initialize highp float height\n",
       "#pragma mapbox: initialize highp vec4 color\n",
       "vec3 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;}`,Bl=`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\n",
       "void 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\n",
       "vec2 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\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,wh=`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\n",
       "void 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\n",
       "vec2 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;}`,Qf=`#ifdef GL_ES\n",
       "precision highp float;\n",
       "#endif\n",
       "uniform 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\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,_f=\"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;}\",Yc=`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\n",
       "void 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\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,eh=\"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;}\",th=`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\n",
       "void main() {\n",
       "#pragma mapbox: initialize highp vec4 color\n",
       "#pragma mapbox: initialize lowp float blur\n",
       "#pragma mapbox: initialize lowp float opacity\n",
       "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);gl_FragColor=color*(alpha*opacity);\n",
       "#ifdef OVERDRAW_INSPECTOR\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,ju=`\n",
       "#define scale 0.015873016\n",
       "attribute 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\n",
       "void 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",
       "float 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);}`,Hf=`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\n",
       "void main() {\n",
       "#pragma mapbox: initialize lowp float blur\n",
       "#pragma mapbox: initialize lowp float opacity\n",
       "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);vec4 color=texture2D(u_image,v_uv);gl_FragColor=color*(alpha*opacity);\n",
       "#ifdef OVERDRAW_INSPECTOR\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,cc=`\n",
       "#define scale 0.015873016\n",
       "attribute 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\n",
       "void 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\n",
       "float 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);}`,of=`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\n",
       "void 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\n",
       "vec2 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\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,Nl=`\n",
       "#define scale 0.015873016\n",
       "#define LINE_DISTANCE_SCALE 2.0\n",
       "attribute 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\n",
       "void 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\n",
       "float 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;}`,Kc=`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\n",
       "void 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\n",
       "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 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\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,Rc=`\n",
       "#define scale 0.015873016\n",
       "#define LINE_DISTANCE_SCALE 2.0\n",
       "attribute 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\n",
       "void 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\n",
       "float 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);}`,gs=`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\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,jf=\"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;}\",Gh=`uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\n",
       "#pragma mapbox: define lowp float opacity\n",
       "void main() {\n",
       "#pragma mapbox: initialize lowp float opacity\n",
       "lowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\n",
       "#ifdef OVERDRAW_INSPECTOR\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,rh=`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\n",
       "void main() {\n",
       "#pragma mapbox: initialize lowp float opacity\n",
       "vec2 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 ?\n",
       "camera_to_anchor_distance/u_camera_to_center_distance :\n",
       "u_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));}`,sf=`#define SDF_PX 8.0\n",
       "uniform 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\n",
       "void 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\n",
       "float 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\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,Th=`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\n",
       "void 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\n",
       "vec2 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 ?\n",
       "camera_to_anchor_distance/u_camera_to_center_distance :\n",
       "u_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);}`,Mu=`#define SDF_PX 8.0\n",
       "#define SDF 1.0\n",
       "#define ICON 0.0\n",
       "uniform 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\n",
       "void 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\n",
       "float 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\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "return;}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\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,ih=`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\n",
       "void 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\n",
       "vec2 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 ?\n",
       "camera_to_anchor_distance/u_camera_to_center_distance :\n",
       "u_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);}`,js=Us(Cf,sc),Eu=Us(Vh,Lf),Dc=Us(cs,nf),ks=Us(Vf,Jl),bc=Us(fl,lc),hu=Us(Fu,Es),_u=Us(Hs,Go),nl=Us(ps,uc),nh=Us(xl,Gu),Ah=Us(qs,ad),zu=Us(Po,od),Fc=Us(Yo,Pa),wc=Us(af,Hu),bd=Us(bl,Gf),xf=Us(Ic,yf),Pf=Us(Bl,wh),Ou=Us(Qf,_f),bf=Us(Yc,eh),jl=Us(th,ju),lf=Us(Hf,cc),Hh=Us(of,Nl),If=Us(Kc,Rc),Cs=Us(gs,jf),du=Us(Gh,rh),ku=Us(sf,Th),Wf=Us(Mu,ih);function Us(Y,D){var J=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,q=D.match(/attribute ([\\w]+) ([\\w]+)/g),K=Y.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),de=D.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),ne=de?de.concat(K):K,we={};return Y=Y.replace(J,function(Ue,ft,Xt,hr,qt){return we[qt]=!0,ft===\"define\"?`\n",
       "#ifndef HAS_UNIFORM_u_`+qt+`\n",
       "varying `+Xt+\" \"+hr+\" \"+qt+`;\n",
       "#else\n",
       "uniform `+Xt+\" \"+hr+\" u_\"+qt+`;\n",
       "#endif\n",
       "`:`\n",
       "#ifdef HAS_UNIFORM_u_`+qt+`\n",
       "    `+Xt+\" \"+hr+\" \"+qt+\" = u_\"+qt+`;\n",
       "#endif\n",
       "`}),D=D.replace(J,function(Ue,ft,Xt,hr,qt){var Ve=hr===\"float\"?\"vec2\":\"vec4\",Qe=qt.match(/color/)?\"color\":Ve;return we[qt]?ft===\"define\"?`\n",
       "#ifndef HAS_UNIFORM_u_`+qt+`\n",
       "uniform lowp float u_`+qt+`_t;\n",
       "attribute `+Xt+\" \"+Ve+\" a_\"+qt+`;\n",
       "varying `+Xt+\" \"+hr+\" \"+qt+`;\n",
       "#else\n",
       "uniform `+Xt+\" \"+hr+\" u_\"+qt+`;\n",
       "#endif\n",
       "`:Qe===\"vec4\"?`\n",
       "#ifndef HAS_UNIFORM_u_`+qt+`\n",
       "    `+qt+\" = a_\"+qt+`;\n",
       "#else\n",
       "    `+Xt+\" \"+hr+\" \"+qt+\" = u_\"+qt+`;\n",
       "#endif\n",
       "`:`\n",
       "#ifndef HAS_UNIFORM_u_`+qt+`\n",
       "    `+qt+\" = unpack_mix_\"+Qe+\"(a_\"+qt+\", u_\"+qt+`_t);\n",
       "#else\n",
       "    `+Xt+\" \"+hr+\" \"+qt+\" = u_\"+qt+`;\n",
       "#endif\n",
       "`:ft===\"define\"?`\n",
       "#ifndef HAS_UNIFORM_u_`+qt+`\n",
       "uniform lowp float u_`+qt+`_t;\n",
       "attribute `+Xt+\" \"+Ve+\" a_\"+qt+`;\n",
       "#else\n",
       "uniform `+Xt+\" \"+hr+\" u_\"+qt+`;\n",
       "#endif\n",
       "`:Qe===\"vec4\"?`\n",
       "#ifndef HAS_UNIFORM_u_`+qt+`\n",
       "    `+Xt+\" \"+hr+\" \"+qt+\" = a_\"+qt+`;\n",
       "#else\n",
       "    `+Xt+\" \"+hr+\" \"+qt+\" = u_\"+qt+`;\n",
       "#endif\n",
       "`:`\n",
       "#ifndef HAS_UNIFORM_u_`+qt+`\n",
       "    `+Xt+\" \"+hr+\" \"+qt+\" = unpack_mix_\"+Qe+\"(a_\"+qt+\", u_\"+qt+`_t);\n",
       "#else\n",
       "    `+Xt+\" \"+hr+\" \"+qt+\" = u_\"+qt+`;\n",
       "#endif\n",
       "`}),{fragmentSource:Y,vertexSource:D,staticAttributes:q,staticUniforms:ne}}var wf=Object.freeze({__proto__:null,prelude:js,background:Eu,backgroundPattern:Dc,circle:ks,clippingMask:bc,heatmap:hu,heatmapTexture:_u,collisionBox:nl,collisionCircle:nh,debug:Ah,fill:zu,fillOutline:Fc,fillOutlinePattern:wc,fillPattern:bd,fillExtrusion:xf,fillExtrusionPattern:Pf,hillshadePrepare:Ou,hillshade:bf,line:jl,lineGradient:lf,linePattern:Hh,lineSDF:If,raster:Cs,symbolIcon:du,symbolSDF:ku,symbolTextAndIcon:Wf}),zc=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};zc.prototype.bind=function(D,J,q,K,de,ne,we,Ue){this.context=D;for(var ft=this.boundPaintVertexBuffers.length!==K.length,Xt=0;!ft&&Xt<K.length;Xt++)this.boundPaintVertexBuffers[Xt]!==K[Xt]&&(ft=!0);var hr=!this.vao||this.boundProgram!==J||this.boundLayoutVertexBuffer!==q||ft||this.boundIndexBuffer!==de||this.boundVertexOffset!==ne||this.boundDynamicVertexBuffer!==we||this.boundDynamicVertexBuffer2!==Ue;!D.extVertexArrayObject||hr?this.freshBind(J,q,K,de,ne,we,Ue):(D.bindVertexArrayOES.set(this.vao),we&&we.bind(),de&&de.dynamicDraw&&de.bind(),Ue&&Ue.bind())},zc.prototype.freshBind=function(D,J,q,K,de,ne,we){var Ue,ft=D.numAttributes,Xt=this.context,hr=Xt.gl;if(Xt.extVertexArrayObject)this.vao&&this.destroy(),this.vao=Xt.extVertexArrayObject.createVertexArrayOES(),Xt.bindVertexArrayOES.set(this.vao),Ue=0,this.boundProgram=D,this.boundLayoutVertexBuffer=J,this.boundPaintVertexBuffers=q,this.boundIndexBuffer=K,this.boundVertexOffset=de,this.boundDynamicVertexBuffer=ne,this.boundDynamicVertexBuffer2=we;else{Ue=Xt.currentNumAttributes||0;for(var qt=ft;qt<Ue;qt++)hr.disableVertexAttribArray(qt)}J.enableAttributes(hr,D);for(var Ve=0,Qe=q;Ve<Qe.length;Ve+=1){var at=Qe[Ve];at.enableAttributes(hr,D)}ne&&ne.enableAttributes(hr,D),we&&we.enableAttributes(hr,D),J.bind(),J.setVertexAttribPointers(hr,D,de);for(var Ct=0,Ot=q;Ct<Ot.length;Ct+=1){var Rt=Ot[Ct];Rt.bind(),Rt.setVertexAttribPointers(hr,D,de)}ne&&(ne.bind(),ne.setVertexAttribPointers(hr,D,de)),K&&K.bind(),we&&(we.bind(),we.setVertexAttribPointers(hr,D,de)),Xt.currentNumAttributes=ft},zc.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};function Wu(Y){for(var D=[],J=0;J<Y.length;J++)if(Y[J]!==null){var q=Y[J].split(\" \");D.push(q.pop())}return D}var Rf=function(D,J,q,K,de,ne){var we=D.gl;this.program=we.createProgram();for(var Ue=Wu(q.staticAttributes),ft=K?K.getBinderAttributes():[],Xt=Ue.concat(ft),hr=q.staticUniforms?Wu(q.staticUniforms):[],qt=K?K.getBinderUniforms():[],Ve=hr.concat(qt),Qe=[],at=0,Ct=Ve;at<Ct.length;at+=1){var Ot=Ct[at];Qe.indexOf(Ot)<0&&Qe.push(Ot)}var Rt=K?K.defines():[];ne&&Rt.push(\"#define OVERDRAW_INSPECTOR;\");var Bt=Rt.concat(js.fragmentSource,q.fragmentSource).join(`\n",
       "`),Dt=Rt.concat(js.vertexSource,q.vertexSource).join(`\n",
       "`),yt=we.createShader(we.FRAGMENT_SHADER);if(we.isContextLost()){this.failedToCreate=!0;return}we.shaderSource(yt,Bt),we.compileShader(yt),we.attachShader(this.program,yt);var Pt=we.createShader(we.VERTEX_SHADER);if(we.isContextLost()){this.failedToCreate=!0;return}we.shaderSource(Pt,Dt),we.compileShader(Pt),we.attachShader(this.program,Pt),this.attributes={};var ht={};this.numAttributes=Xt.length;for(var ur=0;ur<this.numAttributes;ur++)Xt[ur]&&(we.bindAttribLocation(this.program,ur,Xt[ur]),this.attributes[Xt[ur]]=ur);we.linkProgram(this.program),we.deleteShader(Pt),we.deleteShader(yt);for(var br=0;br<Qe.length;br++){var Ur=Qe[br];if(Ur&&!ht[Ur]){var Di=we.getUniformLocation(this.program,Ur);Di&&(ht[Ur]=Di)}}this.fixedUniforms=de(D,ht),this.binderUniforms=K?K.getUniforms(D,ht):[]};Rf.prototype.draw=function(D,J,q,K,de,ne,we,Ue,ft,Xt,hr,qt,Ve,Qe,at,Ct){var Ot,Rt=D.gl;if(!this.failedToCreate){D.program.set(this.program),D.setDepthMode(q),D.setStencilMode(K),D.setColorMode(de),D.setCullFace(ne);for(var Bt in this.fixedUniforms)this.fixedUniforms[Bt].set(we[Bt]);Qe&&Qe.setUniforms(D,this.binderUniforms,qt,{zoom:Ve});for(var Dt=(Ot={},Ot[Rt.LINES]=2,Ot[Rt.TRIANGLES]=3,Ot[Rt.LINE_STRIP]=1,Ot)[J],yt=0,Pt=hr.get();yt<Pt.length;yt+=1){var ht=Pt[yt],ur=ht.vaos||(ht.vaos={}),br=ur[Ue]||(ur[Ue]=new zc);br.bind(D,this,ft,Qe?Qe.getPaintVertexBuffers():[],Xt,ht.vertexOffset,at,Ct),Rt.drawElements(J,ht.primitiveLength*Dt,Rt.UNSIGNED_SHORT,ht.primitiveOffset*Dt*2)}}};function Xu(Y,D,J){var q=1/As(J,1,D.transform.tileZoom),K=Math.pow(2,J.tileID.overscaledZ),de=J.tileSize*Math.pow(2,D.transform.tileZoom)/K,ne=de*(J.tileID.canonical.x+J.tileID.wrap*K),we=de*J.tileID.canonical.y;return{u_image:0,u_texsize:J.imageAtlasTexture.size,u_scale:[q,Y.fromScale,Y.toScale],u_fade:Y.t,u_pixel_coord_upper:[ne>>16,we>>16],u_pixel_coord_lower:[ne&65535,we&65535]}}function uf(Y,D,J,q){var K=J.imageManager.getPattern(Y.from.toString()),de=J.imageManager.getPattern(Y.to.toString()),ne=J.imageManager.getPixelSize(),we=ne.width,Ue=ne.height,ft=Math.pow(2,q.tileID.overscaledZ),Xt=q.tileSize*Math.pow(2,J.transform.tileZoom)/ft,hr=Xt*(q.tileID.canonical.x+q.tileID.wrap*ft),qt=Xt*q.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:K.tl,u_pattern_br_a:K.br,u_pattern_tl_b:de.tl,u_pattern_br_b:de.br,u_texsize:[we,Ue],u_mix:D.t,u_pattern_size_a:K.displaySize,u_pattern_size_b:de.displaySize,u_scale_a:D.fromScale,u_scale_b:D.toScale,u_tile_units_to_pixels:1/As(q,1,J.transform.tileZoom),u_pixel_coord_upper:[hr>>16,qt>>16],u_pixel_coord_lower:[hr&65535,qt&65535]}}var Xf=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_lightpos:new i.Uniform3f(Y,D.u_lightpos),u_lightintensity:new i.Uniform1f(Y,D.u_lightintensity),u_lightcolor:new i.Uniform3f(Y,D.u_lightcolor),u_vertical_gradient:new i.Uniform1f(Y,D.u_vertical_gradient),u_opacity:new i.Uniform1f(Y,D.u_opacity)}},Wl=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_lightpos:new i.Uniform3f(Y,D.u_lightpos),u_lightintensity:new i.Uniform1f(Y,D.u_lightintensity),u_lightcolor:new i.Uniform3f(Y,D.u_lightcolor),u_vertical_gradient:new i.Uniform1f(Y,D.u_vertical_gradient),u_height_factor:new i.Uniform1f(Y,D.u_height_factor),u_image:new i.Uniform1i(Y,D.u_image),u_texsize:new i.Uniform2f(Y,D.u_texsize),u_pixel_coord_upper:new i.Uniform2f(Y,D.u_pixel_coord_upper),u_pixel_coord_lower:new i.Uniform2f(Y,D.u_pixel_coord_lower),u_scale:new i.Uniform3f(Y,D.u_scale),u_fade:new i.Uniform1f(Y,D.u_fade),u_opacity:new i.Uniform1f(Y,D.u_opacity)}},ah=function(Y,D,J,q){var K=D.style.light,de=K.properties.get(\"position\"),ne=[de.x,de.y,de.z],we=i.create$1();K.properties.get(\"anchor\")===\"viewport\"&&i.fromRotation(we,-D.transform.angle),i.transformMat3(ne,ne,we);var Ue=K.properties.get(\"color\");return{u_matrix:Y,u_lightpos:ne,u_lightintensity:K.properties.get(\"intensity\"),u_lightcolor:[Ue.r,Ue.g,Ue.b],u_vertical_gradient:+J,u_opacity:q}},Zu=function(Y,D,J,q,K,de,ne){return i.extend(ah(Y,D,J,q),Xu(de,D,ne),{u_height_factor:-Math.pow(2,K.overscaledZ)/ne.tileSize/8})},Oc=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix)}},Tc=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_image:new i.Uniform1i(Y,D.u_image),u_texsize:new i.Uniform2f(Y,D.u_texsize),u_pixel_coord_upper:new i.Uniform2f(Y,D.u_pixel_coord_upper),u_pixel_coord_lower:new i.Uniform2f(Y,D.u_pixel_coord_lower),u_scale:new i.Uniform3f(Y,D.u_scale),u_fade:new i.Uniform1f(Y,D.u_fade)}},wl=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_world:new i.Uniform2f(Y,D.u_world)}},vu=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_world:new i.Uniform2f(Y,D.u_world),u_image:new i.Uniform1i(Y,D.u_image),u_texsize:new i.Uniform2f(Y,D.u_texsize),u_pixel_coord_upper:new i.Uniform2f(Y,D.u_pixel_coord_upper),u_pixel_coord_lower:new i.Uniform2f(Y,D.u_pixel_coord_lower),u_scale:new i.Uniform3f(Y,D.u_scale),u_fade:new i.Uniform1f(Y,D.u_fade)}},qc=function(Y){return{u_matrix:Y}},cf=function(Y,D,J,q){return i.extend(qc(Y),Xu(J,D,q))},fc=function(Y,D){return{u_matrix:Y,u_world:D}},Bc=function(Y,D,J,q,K){return i.extend(cf(Y,D,J,q),{u_world:K})},At=function(Y,D){return{u_camera_to_center_distance:new i.Uniform1f(Y,D.u_camera_to_center_distance),u_scale_with_map:new i.Uniform1i(Y,D.u_scale_with_map),u_pitch_with_map:new i.Uniform1i(Y,D.u_pitch_with_map),u_extrude_scale:new i.Uniform2f(Y,D.u_extrude_scale),u_device_pixel_ratio:new i.Uniform1f(Y,D.u_device_pixel_ratio),u_matrix:new i.UniformMatrix4f(Y,D.u_matrix)}},Wt=function(Y,D,J,q){var K=Y.transform,de,ne;if(q.paint.get(\"circle-pitch-alignment\")===\"map\"){var we=As(J,1,K.zoom);de=!0,ne=[we,we]}else de=!1,ne=K.pixelsToGLUnits;return{u_camera_to_center_distance:K.cameraToCenterDistance,u_scale_with_map:+(q.paint.get(\"circle-pitch-scale\")===\"map\"),u_matrix:Y.translatePosMatrix(D.posMatrix,J,q.paint.get(\"circle-translate\"),q.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+de,u_device_pixel_ratio:i.browser.devicePixelRatio,u_extrude_scale:ne}},Cr=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_camera_to_center_distance:new i.Uniform1f(Y,D.u_camera_to_center_distance),u_pixels_to_tile_units:new i.Uniform1f(Y,D.u_pixels_to_tile_units),u_extrude_scale:new i.Uniform2f(Y,D.u_extrude_scale),u_overscale_factor:new i.Uniform1f(Y,D.u_overscale_factor)}},Ar=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_inv_matrix:new i.UniformMatrix4f(Y,D.u_inv_matrix),u_camera_to_center_distance:new i.Uniform1f(Y,D.u_camera_to_center_distance),u_viewport_size:new i.Uniform2f(Y,D.u_viewport_size)}},Kr=function(Y,D,J){var q=As(J,1,D.zoom),K=Math.pow(2,D.zoom-J.tileID.overscaledZ),de=J.tileID.overscaleFactor();return{u_matrix:Y,u_camera_to_center_distance:D.cameraToCenterDistance,u_pixels_to_tile_units:q,u_extrude_scale:[D.pixelsToGLUnits[0]/(q*K),D.pixelsToGLUnits[1]/(q*K)],u_overscale_factor:de}},ki=function(Y,D,J){return{u_matrix:Y,u_inv_matrix:D,u_camera_to_center_distance:J.cameraToCenterDistance,u_viewport_size:[J.width,J.height]}},Xi=function(Y,D){return{u_color:new i.UniformColor(Y,D.u_color),u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_overlay:new i.Uniform1i(Y,D.u_overlay),u_overlay_scale:new i.Uniform1f(Y,D.u_overlay_scale)}},dn=function(Y,D,J){return J===void 0&&(J=1),{u_matrix:Y,u_color:D,u_overlay:0,u_overlay_scale:J}},wn=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix)}},Nn=function(Y){return{u_matrix:Y}},Yi=function(Y,D){return{u_extrude_scale:new i.Uniform1f(Y,D.u_extrude_scale),u_intensity:new i.Uniform1f(Y,D.u_intensity),u_matrix:new i.UniformMatrix4f(Y,D.u_matrix)}},Qi=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_world:new i.Uniform2f(Y,D.u_world),u_image:new i.Uniform1i(Y,D.u_image),u_color_ramp:new i.Uniform1i(Y,D.u_color_ramp),u_opacity:new i.Uniform1f(Y,D.u_opacity)}},on=function(Y,D,J,q){return{u_matrix:Y,u_extrude_scale:As(D,1,J),u_intensity:q}},Fi=function(Y,D,J,q){var K=i.create();i.ortho(K,0,Y.width,Y.height,0,0,1);var de=Y.context.gl;return{u_matrix:K,u_world:[de.drawingBufferWidth,de.drawingBufferHeight],u_image:J,u_color_ramp:q,u_opacity:D.paint.get(\"heatmap-opacity\")}},$n=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_image:new i.Uniform1i(Y,D.u_image),u_latrange:new i.Uniform2f(Y,D.u_latrange),u_light:new i.Uniform2f(Y,D.u_light),u_shadow:new i.UniformColor(Y,D.u_shadow),u_highlight:new i.UniformColor(Y,D.u_highlight),u_accent:new i.UniformColor(Y,D.u_accent)}},Ca=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_image:new i.Uniform1i(Y,D.u_image),u_dimension:new i.Uniform2f(Y,D.u_dimension),u_zoom:new i.Uniform1f(Y,D.u_zoom),u_unpack:new i.Uniform4f(Y,D.u_unpack)}},Ra=function(Y,D,J){var q=J.paint.get(\"hillshade-shadow-color\"),K=J.paint.get(\"hillshade-highlight-color\"),de=J.paint.get(\"hillshade-accent-color\"),ne=J.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);J.paint.get(\"hillshade-illumination-anchor\")===\"viewport\"&&(ne-=Y.transform.angle);var we=!Y.options.moving;return{u_matrix:Y.transform.calculatePosMatrix(D.tileID.toUnwrapped(),we),u_image:0,u_latrange:Na(Y,D.tileID),u_light:[J.paint.get(\"hillshade-exaggeration\"),ne],u_shadow:q,u_highlight:K,u_accent:de}},La=function(Y,D){var J=D.stride,q=i.create();return i.ortho(q,0,i.EXTENT,-i.EXTENT,0,0,1),i.translate(q,q,[0,-i.EXTENT,0]),{u_matrix:q,u_image:1,u_dimension:[J,J],u_zoom:Y.overscaledZ,u_unpack:D.getUnpackVector()}};function Na(Y,D){var J=Math.pow(2,D.canonical.z),q=D.canonical.y;return[new i.MercatorCoordinate(0,q/J).toLngLat().lat,new i.MercatorCoordinate(0,(q+1)/J).toLngLat().lat]}var Yn=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_ratio:new i.Uniform1f(Y,D.u_ratio),u_device_pixel_ratio:new i.Uniform1f(Y,D.u_device_pixel_ratio),u_units_to_pixels:new i.Uniform2f(Y,D.u_units_to_pixels)}},Dn=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_ratio:new i.Uniform1f(Y,D.u_ratio),u_device_pixel_ratio:new i.Uniform1f(Y,D.u_device_pixel_ratio),u_units_to_pixels:new i.Uniform2f(Y,D.u_units_to_pixels),u_image:new i.Uniform1i(Y,D.u_image),u_image_height:new i.Uniform1f(Y,D.u_image_height)}},Ka=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_texsize:new i.Uniform2f(Y,D.u_texsize),u_ratio:new i.Uniform1f(Y,D.u_ratio),u_device_pixel_ratio:new i.Uniform1f(Y,D.u_device_pixel_ratio),u_image:new i.Uniform1i(Y,D.u_image),u_units_to_pixels:new i.Uniform2f(Y,D.u_units_to_pixels),u_scale:new i.Uniform3f(Y,D.u_scale),u_fade:new i.Uniform1f(Y,D.u_fade)}},bo=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_ratio:new i.Uniform1f(Y,D.u_ratio),u_device_pixel_ratio:new i.Uniform1f(Y,D.u_device_pixel_ratio),u_units_to_pixels:new i.Uniform2f(Y,D.u_units_to_pixels),u_patternscale_a:new i.Uniform2f(Y,D.u_patternscale_a),u_patternscale_b:new i.Uniform2f(Y,D.u_patternscale_b),u_sdfgamma:new i.Uniform1f(Y,D.u_sdfgamma),u_image:new i.Uniform1i(Y,D.u_image),u_tex_y_a:new i.Uniform1f(Y,D.u_tex_y_a),u_tex_y_b:new i.Uniform1f(Y,D.u_tex_y_b),u_mix:new i.Uniform1f(Y,D.u_mix)}},Xo=function(Y,D,J){var q=Y.transform;return{u_matrix:ml(Y,D,J),u_ratio:1/As(D,1,q.zoom),u_device_pixel_ratio:i.browser.devicePixelRatio,u_units_to_pixels:[1/q.pixelsToGLUnits[0],1/q.pixelsToGLUnits[1]]}},Ss=function(Y,D,J,q){return i.extend(Xo(Y,D,J),{u_image:0,u_image_height:q})},as=function(Y,D,J,q){var K=Y.transform,de=Ho(D,K);return{u_matrix:ml(Y,D,J),u_texsize:D.imageAtlasTexture.size,u_ratio:1/As(D,1,K.zoom),u_device_pixel_ratio:i.browser.devicePixelRatio,u_image:0,u_scale:[de,q.fromScale,q.toScale],u_fade:q.t,u_units_to_pixels:[1/K.pixelsToGLUnits[0],1/K.pixelsToGLUnits[1]]}},ws=function(Y,D,J,q,K){var de=Y.transform,ne=Y.lineAtlas,we=Ho(D,de),Ue=J.layout.get(\"line-cap\")===\"round\",ft=ne.getDash(q.from,Ue),Xt=ne.getDash(q.to,Ue),hr=ft.width*K.fromScale,qt=Xt.width*K.toScale;return i.extend(Xo(Y,D,J),{u_patternscale_a:[we/hr,-ft.height/2],u_patternscale_b:[we/qt,-Xt.height/2],u_sdfgamma:ne.width/(Math.min(hr,qt)*256*i.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:ft.y,u_tex_y_b:Xt.y,u_mix:K.t})};function Ho(Y,D){return 1/As(Y,1,D.tileZoom)}function ml(Y,D,J){return Y.translatePosMatrix(D.tileID.posMatrix,D,J.paint.get(\"line-translate\"),J.paint.get(\"line-translate-anchor\"))}var Ws=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_tl_parent:new i.Uniform2f(Y,D.u_tl_parent),u_scale_parent:new i.Uniform1f(Y,D.u_scale_parent),u_buffer_scale:new i.Uniform1f(Y,D.u_buffer_scale),u_fade_t:new i.Uniform1f(Y,D.u_fade_t),u_opacity:new i.Uniform1f(Y,D.u_opacity),u_image0:new i.Uniform1i(Y,D.u_image0),u_image1:new i.Uniform1i(Y,D.u_image1),u_brightness_low:new i.Uniform1f(Y,D.u_brightness_low),u_brightness_high:new i.Uniform1f(Y,D.u_brightness_high),u_saturation_factor:new i.Uniform1f(Y,D.u_saturation_factor),u_contrast_factor:new i.Uniform1f(Y,D.u_contrast_factor),u_spin_weights:new i.Uniform3f(Y,D.u_spin_weights)}},Ls=function(Y,D,J,q,K){return{u_matrix:Y,u_tl_parent:D,u_scale_parent:J,u_buffer_scale:1,u_fade_t:q.mix,u_opacity:q.opacity*K.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:K.paint.get(\"raster-brightness-min\"),u_brightness_high:K.paint.get(\"raster-brightness-max\"),u_saturation_factor:ys(K.paint.get(\"raster-saturation\")),u_contrast_factor:no(K.paint.get(\"raster-contrast\")),u_spin_weights:va(K.paint.get(\"raster-hue-rotate\"))}};function va(Y){Y*=Math.PI/180;var D=Math.sin(Y),J=Math.cos(Y);return[(2*J+1)/3,(-Math.sqrt(3)*D-J+1)/3,(Math.sqrt(3)*D-J+1)/3]}function no(Y){return Y>0?1/(1-Y):1+Y}function ys(Y){return Y>0?1-1/(1.001-Y):-Y}var rs=function(Y,D){return{u_is_size_zoom_constant:new i.Uniform1i(Y,D.u_is_size_zoom_constant),u_is_size_feature_constant:new i.Uniform1i(Y,D.u_is_size_feature_constant),u_size_t:new i.Uniform1f(Y,D.u_size_t),u_size:new i.Uniform1f(Y,D.u_size),u_camera_to_center_distance:new i.Uniform1f(Y,D.u_camera_to_center_distance),u_pitch:new i.Uniform1f(Y,D.u_pitch),u_rotate_symbol:new i.Uniform1i(Y,D.u_rotate_symbol),u_aspect_ratio:new i.Uniform1f(Y,D.u_aspect_ratio),u_fade_change:new i.Uniform1f(Y,D.u_fade_change),u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_label_plane_matrix:new i.UniformMatrix4f(Y,D.u_label_plane_matrix),u_coord_matrix:new i.UniformMatrix4f(Y,D.u_coord_matrix),u_is_text:new i.Uniform1i(Y,D.u_is_text),u_pitch_with_map:new i.Uniform1i(Y,D.u_pitch_with_map),u_texsize:new i.Uniform2f(Y,D.u_texsize),u_texture:new i.Uniform1i(Y,D.u_texture)}},$l=function(Y,D){return{u_is_size_zoom_constant:new i.Uniform1i(Y,D.u_is_size_zoom_constant),u_is_size_feature_constant:new i.Uniform1i(Y,D.u_is_size_feature_constant),u_size_t:new i.Uniform1f(Y,D.u_size_t),u_size:new i.Uniform1f(Y,D.u_size),u_camera_to_center_distance:new i.Uniform1f(Y,D.u_camera_to_center_distance),u_pitch:new i.Uniform1f(Y,D.u_pitch),u_rotate_symbol:new i.Uniform1i(Y,D.u_rotate_symbol),u_aspect_ratio:new i.Uniform1f(Y,D.u_aspect_ratio),u_fade_change:new i.Uniform1f(Y,D.u_fade_change),u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_label_plane_matrix:new i.UniformMatrix4f(Y,D.u_label_plane_matrix),u_coord_matrix:new i.UniformMatrix4f(Y,D.u_coord_matrix),u_is_text:new i.Uniform1i(Y,D.u_is_text),u_pitch_with_map:new i.Uniform1i(Y,D.u_pitch_with_map),u_texsize:new i.Uniform2f(Y,D.u_texsize),u_texture:new i.Uniform1i(Y,D.u_texture),u_gamma_scale:new i.Uniform1f(Y,D.u_gamma_scale),u_device_pixel_ratio:new i.Uniform1f(Y,D.u_device_pixel_ratio),u_is_halo:new i.Uniform1i(Y,D.u_is_halo)}},Cu=function(Y,D){return{u_is_size_zoom_constant:new i.Uniform1i(Y,D.u_is_size_zoom_constant),u_is_size_feature_constant:new i.Uniform1i(Y,D.u_is_size_feature_constant),u_size_t:new i.Uniform1f(Y,D.u_size_t),u_size:new i.Uniform1f(Y,D.u_size),u_camera_to_center_distance:new i.Uniform1f(Y,D.u_camera_to_center_distance),u_pitch:new i.Uniform1f(Y,D.u_pitch),u_rotate_symbol:new i.Uniform1i(Y,D.u_rotate_symbol),u_aspect_ratio:new i.Uniform1f(Y,D.u_aspect_ratio),u_fade_change:new i.Uniform1f(Y,D.u_fade_change),u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_label_plane_matrix:new i.UniformMatrix4f(Y,D.u_label_plane_matrix),u_coord_matrix:new i.UniformMatrix4f(Y,D.u_coord_matrix),u_is_text:new i.Uniform1i(Y,D.u_is_text),u_pitch_with_map:new i.Uniform1i(Y,D.u_pitch_with_map),u_texsize:new i.Uniform2f(Y,D.u_texsize),u_texsize_icon:new i.Uniform2f(Y,D.u_texsize_icon),u_texture:new i.Uniform1i(Y,D.u_texture),u_texture_icon:new i.Uniform1i(Y,D.u_texture_icon),u_gamma_scale:new i.Uniform1f(Y,D.u_gamma_scale),u_device_pixel_ratio:new i.Uniform1f(Y,D.u_device_pixel_ratio),u_is_halo:new i.Uniform1i(Y,D.u_is_halo)}},Yu=function(Y,D,J,q,K,de,ne,we,Ue,ft){var Xt=K.transform;return{u_is_size_zoom_constant:+(Y===\"constant\"||Y===\"source\"),u_is_size_feature_constant:+(Y===\"constant\"||Y===\"camera\"),u_size_t:D?D.uSizeT:0,u_size:D?D.uSize:0,u_camera_to_center_distance:Xt.cameraToCenterDistance,u_pitch:Xt.pitch/360*2*Math.PI,u_rotate_symbol:+J,u_aspect_ratio:Xt.width/Xt.height,u_fade_change:K.options.fadeDuration?K.symbolFadeChange:1,u_matrix:de,u_label_plane_matrix:ne,u_coord_matrix:we,u_is_text:+Ue,u_pitch_with_map:+q,u_texsize:ft,u_texture:0}},Nc=function(Y,D,J,q,K,de,ne,we,Ue,ft,Xt){var hr=K.transform;return i.extend(Yu(Y,D,J,q,K,de,ne,we,Ue,ft),{u_gamma_scale:q?Math.cos(hr._pitch)*hr.cameraToCenterDistance:1,u_device_pixel_ratio:i.browser.devicePixelRatio,u_is_halo:+Xt})},pu=function(Y,D,J,q,K,de,ne,we,Ue,ft){return i.extend(Nc(Y,D,J,q,K,de,ne,we,!0,Ue,!0),{u_texsize_icon:ft,u_texture_icon:1})},Uc=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_opacity:new i.Uniform1f(Y,D.u_opacity),u_color:new i.UniformColor(Y,D.u_color)}},xu=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_opacity:new i.Uniform1f(Y,D.u_opacity),u_image:new i.Uniform1i(Y,D.u_image),u_pattern_tl_a:new i.Uniform2f(Y,D.u_pattern_tl_a),u_pattern_br_a:new i.Uniform2f(Y,D.u_pattern_br_a),u_pattern_tl_b:new i.Uniform2f(Y,D.u_pattern_tl_b),u_pattern_br_b:new i.Uniform2f(Y,D.u_pattern_br_b),u_texsize:new i.Uniform2f(Y,D.u_texsize),u_mix:new i.Uniform1f(Y,D.u_mix),u_pattern_size_a:new i.Uniform2f(Y,D.u_pattern_size_a),u_pattern_size_b:new i.Uniform2f(Y,D.u_pattern_size_b),u_scale_a:new i.Uniform1f(Y,D.u_scale_a),u_scale_b:new i.Uniform1f(Y,D.u_scale_b),u_pixel_coord_upper:new i.Uniform2f(Y,D.u_pixel_coord_upper),u_pixel_coord_lower:new i.Uniform2f(Y,D.u_pixel_coord_lower),u_tile_units_to_pixels:new i.Uniform1f(Y,D.u_tile_units_to_pixels)}},Ac=function(Y,D,J){return{u_matrix:Y,u_opacity:D,u_color:J}},Ua=function(Y,D,J,q,K,de){return i.extend(uf(q,de,J,K),{u_matrix:Y,u_opacity:D})},oo={fillExtrusion:Xf,fillExtrusionPattern:Wl,fill:Oc,fillPattern:Tc,fillOutline:wl,fillOutlinePattern:vu,circle:At,collisionBox:Cr,collisionCircle:Ar,debug:Xi,clippingMask:wn,heatmap:Yi,heatmapTexture:Qi,hillshade:$n,hillshadePrepare:Ca,line:Yn,lineGradient:Dn,linePattern:Ka,lineSDF:bo,raster:Ws,symbolIcon:rs,symbolSDF:$l,symbolTextAndIcon:Cu,background:Uc,backgroundPattern:xu},Vc;function hc(Y,D,J,q,K,de,ne){for(var we=Y.context,Ue=we.gl,ft=Y.useProgram(\"collisionBox\"),Xt=[],hr=0,qt=0,Ve=0;Ve<q.length;Ve++){var Qe=q[Ve],at=D.getTile(Qe),Ct=at.getBucket(J);if(Ct){var Ot=Qe.posMatrix;(K[0]!==0||K[1]!==0)&&(Ot=Y.translatePosMatrix(Qe.posMatrix,at,K,de));var Rt=ne?Ct.textCollisionBox:Ct.iconCollisionBox,Bt=Ct.collisionCircleArray;if(Bt.length>0){var Dt=i.create(),yt=Ot;i.mul(Dt,Ct.placementInvProjMatrix,Y.transform.glCoordMatrix),i.mul(Dt,Dt,Ct.placementViewportMatrix),Xt.push({circleArray:Bt,circleOffset:qt,transform:yt,invTransform:Dt}),hr+=Bt.length/4,qt=hr}Rt&&ft.draw(we,Ue.LINES,wi.disabled,Fn.disabled,Y.colorModeForRenderPass(),Er.disabled,Kr(Ot,Y.transform,at),J.id,Rt.layoutVertexBuffer,Rt.indexBuffer,Rt.segments,null,Y.transform.zoom,null,null,Rt.collisionVertexBuffer)}}if(!(!ne||!Xt.length)){var Pt=Y.useProgram(\"collisionCircle\"),ht=new i.StructArrayLayout2f1f2i16;ht.resize(hr*4),ht._trim();for(var ur=0,br=0,Ur=Xt;br<Ur.length;br+=1)for(var Di=Ur[br],fi=0;fi<Di.circleArray.length/4;fi++){var Ti=fi*4,gn=Di.circleArray[Ti+0],rn=Di.circleArray[Ti+1],Ci=Di.circleArray[Ti+2],Bi=Di.circleArray[Ti+3];ht.emplace(ur++,gn,rn,Ci,Bi,0),ht.emplace(ur++,gn,rn,Ci,Bi,1),ht.emplace(ur++,gn,rn,Ci,Bi,2),ht.emplace(ur++,gn,rn,Ci,Bi,3)}(!Vc||Vc.length<hr*2)&&(Vc=Ku(hr));for(var Gi=we.createIndexBuffer(Vc,!0),sn=we.createVertexBuffer(ht,i.collisionCircleLayout.members,!0),zn=0,Ja=Xt;zn<Ja.length;zn+=1){var co=Ja[zn],ts=ki(co.transform,co.invTransform,Y.transform);Pt.draw(we,Ue.TRIANGLES,wi.disabled,Fn.disabled,Y.colorModeForRenderPass(),Er.disabled,ts,J.id,sn,Gi,i.SegmentVector.simpleSegment(0,co.circleOffset*2,co.circleArray.length,co.circleArray.length/2),null,Y.transform.zoom,null,null,null)}sn.destroy(),Gi.destroy()}}function Ku(Y){var D=Y*2,J=new i.StructArrayLayout3ui6;J.resize(D),J._trim();for(var q=0;q<D;q++){var K=q*6;J.uint16[K+0]=q*4+0,J.uint16[K+1]=q*4+1,J.uint16[K+2]=q*4+2,J.uint16[K+3]=q*4+2,J.uint16[K+4]=q*4+3,J.uint16[K+5]=q*4+0}return J}var ue=i.identity(new Float32Array(16));function w(Y,D,J,q,K){if(Y.renderPass===\"translucent\"){var de=Fn.disabled,ne=Y.colorModeForRenderPass(),we=J.layout.get(\"text-variable-anchor\");we&&Q(q,Y,J,D,J.layout.get(\"text-rotation-alignment\"),J.layout.get(\"text-pitch-alignment\"),K),J.paint.get(\"icon-opacity\").constantOr(1)!==0&&qe(Y,D,J,q,!1,J.paint.get(\"icon-translate\"),J.paint.get(\"icon-translate-anchor\"),J.layout.get(\"icon-rotation-alignment\"),J.layout.get(\"icon-pitch-alignment\"),J.layout.get(\"icon-keep-upright\"),de,ne),J.paint.get(\"text-opacity\").constantOr(1)!==0&&qe(Y,D,J,q,!0,J.paint.get(\"text-translate\"),J.paint.get(\"text-translate-anchor\"),J.layout.get(\"text-rotation-alignment\"),J.layout.get(\"text-pitch-alignment\"),J.layout.get(\"text-keep-upright\"),de,ne),D.map.showCollisionBoxes&&(hc(Y,D,J,q,J.paint.get(\"text-translate\"),J.paint.get(\"text-translate-anchor\"),!0),hc(Y,D,J,q,J.paint.get(\"icon-translate\"),J.paint.get(\"icon-translate-anchor\"),!1))}}function B(Y,D,J,q,K,de){var ne=i.getAnchorAlignment(Y),we=ne.horizontalAlign,Ue=ne.verticalAlign,ft=-(we-.5)*D,Xt=-(Ue-.5)*J,hr=i.evaluateVariableOffset(Y,q);return new i.Point((ft/K+hr[0])*de,(Xt/K+hr[1])*de)}function Q(Y,D,J,q,K,de,ne){for(var we=D.transform,Ue=K===\"map\",ft=de===\"map\",Xt=0,hr=Y;Xt<hr.length;Xt+=1){var qt=hr[Xt],Ve=q.getTile(qt),Qe=Ve.getBucket(J);if(!(!Qe||!Qe.text||!Qe.text.segments.get().length)){var at=Qe.textSizeData,Ct=i.evaluateSizeForZoom(at,we.zoom),Ot=As(Ve,1,D.transform.zoom),Rt=_n(qt.posMatrix,ft,Ue,D.transform,Ot),Bt=J.layout.get(\"icon-text-fit\")!==\"none\"&&Qe.hasIconData();if(Ct){var Dt=Math.pow(2,we.zoom-Ve.tileID.overscaledZ);ee(Qe,Ue,ft,ne,i.symbolSize,we,Rt,qt.posMatrix,Dt,Ct,Bt)}}}}function ee(Y,D,J,q,K,de,ne,we,Ue,ft,Xt){var hr=Y.text.placedSymbolArray,qt=Y.text.dynamicLayoutVertexArray,Ve=Y.icon.dynamicLayoutVertexArray,Qe={};qt.clear();for(var at=0;at<hr.length;at++){var Ct=hr.get(at),Ot=Y.allowVerticalPlacement&&!Ct.placedOrientation,Rt=!Ct.hidden&&Ct.crossTileID&&!Ot?q[Ct.crossTileID]:null;if(!Rt)ul(Ct.numGlyphs,qt);else{var Bt=new i.Point(Ct.anchorX,Ct.anchorY),Dt=Jn(Bt,J?we:ne),yt=Ma(de.cameraToCenterDistance,Dt.signedDistanceFromCamera),Pt=K.evaluateSizeForFeature(Y.textSizeData,ft,Ct)*yt/i.ONE_EM;J&&(Pt*=Y.tilePixelRatio/Ue);for(var ht=Rt.width,ur=Rt.height,br=Rt.anchor,Ur=Rt.textOffset,Di=Rt.textBoxScale,fi=B(br,ht,ur,Ur,Di,Pt),Ti=J?Jn(Bt.add(fi),ne).point:Dt.point.add(D?fi.rotate(-de.angle):fi),gn=Y.allowVerticalPlacement&&Ct.placedOrientation===i.WritingMode.vertical?Math.PI/2:0,rn=0;rn<Ct.numGlyphs;rn++)i.addDynamicAttributes(qt,Ti,gn);Xt&&Ct.associatedIconIndex>=0&&(Qe[Ct.associatedIconIndex]={shiftedAnchor:Ti,angle:gn})}}if(Xt){Ve.clear();for(var Ci=Y.icon.placedSymbolArray,Bi=0;Bi<Ci.length;Bi++){var Gi=Ci.get(Bi);if(Gi.hidden)ul(Gi.numGlyphs,Ve);else{var sn=Qe[Bi];if(!sn)ul(Gi.numGlyphs,Ve);else for(var zn=0;zn<Gi.numGlyphs;zn++)i.addDynamicAttributes(Ve,sn.shiftedAnchor,sn.angle)}}Y.icon.dynamicLayoutVertexBuffer.updateData(Ve)}Y.text.dynamicLayoutVertexBuffer.updateData(qt)}function le(Y,D,J){return J.iconsInText&&D?\"symbolTextAndIcon\":Y?\"symbolSDF\":\"symbolIcon\"}function qe(Y,D,J,q,K,de,ne,we,Ue,ft,Xt,hr){for(var qt=Y.context,Ve=qt.gl,Qe=Y.transform,at=we===\"map\",Ct=Ue===\"map\",Ot=at&&J.layout.get(\"symbol-placement\")!==\"point\",Rt=at&&!Ct&&!Ot,Bt=J.layout.get(\"symbol-sort-key\").constantOr(1)!==void 0,Dt=!1,yt=Y.depthModeForSublayer(0,wi.ReadOnly),Pt=J.layout.get(\"text-variable-anchor\"),ht=[],ur=0,br=q;ur<br.length;ur+=1){var Ur=br[ur],Di=D.getTile(Ur),fi=Di.getBucket(J);if(fi){var Ti=K?fi.text:fi.icon;if(!(!Ti||!Ti.segments.get().length)){var gn=Ti.programConfigurations.get(J.id),rn=K||fi.sdfIcons,Ci=K?fi.textSizeData:fi.iconSizeData,Bi=Ct||Qe.pitch!==0,Gi=Y.useProgram(le(rn,K,fi),gn),sn=i.evaluateSizeForZoom(Ci,Qe.zoom),zn=void 0,Ja=[0,0],co=void 0,ts=void 0,so=null,Zo=void 0;if(K){if(co=Di.glyphAtlasTexture,ts=Ve.LINEAR,zn=Di.glyphAtlasTexture.size,fi.iconsInText){Ja=Di.imageAtlasTexture.size,so=Di.imageAtlasTexture;var ms=Ci.kind===\"composite\"||Ci.kind===\"camera\";Zo=Bi||Y.options.rotating||Y.options.zooming||ms?Ve.LINEAR:Ve.NEAREST}}else{var ou=J.layout.get(\"icon-size\").constantOr(0)!==1||fi.iconsNeedLinear;co=Di.imageAtlasTexture,ts=rn||Y.options.rotating||Y.options.zooming||ou||Bi?Ve.LINEAR:Ve.NEAREST,zn=Di.imageAtlasTexture.size}var Cv=As(Di,1,Y.transform.zoom),Lv=_n(Ur.posMatrix,Ct,at,Y.transform,Cv),wd=ya(Ur.posMatrix,Ct,at,Y.transform,Cv),Kv=Pt&&fi.hasTextData(),cg=J.layout.get(\"icon-text-fit\")!==\"none\"&&Kv&&fi.hasIconData();Ot&&No(fi,Ur.posMatrix,Y,K,Lv,wd,Ct,ft);var pp=Y.translatePosMatrix(Ur.posMatrix,Di,de,ne),Td=Ot||K&&Pt||cg?ue:Lv,gp=Y.translatePosMatrix(wd,Di,de,ne,!0),Vd=rn&&J.paint.get(K?\"text-halo-width\":\"icon-halo-width\").constantOr(1)!==0,Ad=void 0;rn?fi.iconsInText?Ad=pu(Ci.kind,sn,Rt,Ct,Y,pp,Td,gp,zn,Ja):Ad=Nc(Ci.kind,sn,Rt,Ct,Y,pp,Td,gp,K,zn,!0):Ad=Yu(Ci.kind,sn,Rt,Ct,Y,pp,Td,gp,K,zn);var Pv={program:Gi,buffers:Ti,uniformValues:Ad,atlasTexture:co,atlasTextureIcon:so,atlasInterpolation:ts,atlasInterpolationIcon:Zo,isSDF:rn,hasHalo:Vd};if(Bt&&fi.canOverlap){Dt=!0;for(var Jv=Ti.segments.get(),Iv=0,ay=Jv;Iv<ay.length;Iv+=1){var fg=ay[Iv];ht.push({segments:new i.SegmentVector([fg]),sortKey:fg.sortKey,state:Pv})}}else ht.push({segments:Ti.segments,sortKey:0,state:Pv})}}}Dt&&ht.sort(function(b1,w1){return b1.sortKey-w1.sortKey});for(var oh=0,hg=ht;oh<hg.length;oh+=1){var oy=hg[oh],jh=oy.state;if(qt.activeTexture.set(Ve.TEXTURE0),jh.atlasTexture.bind(jh.atlasInterpolation,Ve.CLAMP_TO_EDGE),jh.atlasTextureIcon&&(qt.activeTexture.set(Ve.TEXTURE1),jh.atlasTextureIcon&&jh.atlasTextureIcon.bind(jh.atlasInterpolationIcon,Ve.CLAMP_TO_EDGE)),jh.isSDF){var im=jh.uniformValues;jh.hasHalo&&(im.u_is_halo=1,Xe(jh.buffers,oy.segments,J,Y,jh.program,yt,Xt,hr,im)),im.u_is_halo=0}Xe(jh.buffers,oy.segments,J,Y,jh.program,yt,Xt,hr,jh.uniformValues)}}function Xe(Y,D,J,q,K,de,ne,we,Ue){var ft=q.context,Xt=ft.gl;K.draw(ft,Xt.TRIANGLES,de,ne,we,Er.disabled,Ue,J.id,Y.layoutVertexBuffer,Y.indexBuffer,D,J.paint,q.transform.zoom,Y.programConfigurations.get(J.id),Y.dynamicLayoutVertexBuffer,Y.opacityVertexBuffer)}function ot(Y,D,J,q){if(Y.renderPass===\"translucent\"){var K=J.paint.get(\"circle-opacity\"),de=J.paint.get(\"circle-stroke-width\"),ne=J.paint.get(\"circle-stroke-opacity\"),we=J.layout.get(\"circle-sort-key\").constantOr(1)!==void 0;if(!(K.constantOr(1)===0&&(de.constantOr(1)===0||ne.constantOr(1)===0))){for(var Ue=Y.context,ft=Ue.gl,Xt=Y.depthModeForSublayer(0,wi.ReadOnly),hr=Fn.disabled,qt=Y.colorModeForRenderPass(),Ve=[],Qe=0;Qe<q.length;Qe++){var at=q[Qe],Ct=D.getTile(at),Ot=Ct.getBucket(J);if(Ot){var Rt=Ot.programConfigurations.get(J.id),Bt=Y.useProgram(\"circle\",Rt),Dt=Ot.layoutVertexBuffer,yt=Ot.indexBuffer,Pt=Wt(Y,at,Ct,J),ht={programConfiguration:Rt,program:Bt,layoutVertexBuffer:Dt,indexBuffer:yt,uniformValues:Pt};if(we)for(var ur=Ot.segments.get(),br=0,Ur=ur;br<Ur.length;br+=1){var Di=Ur[br];Ve.push({segments:new i.SegmentVector([Di]),sortKey:Di.sortKey,state:ht})}else Ve.push({segments:Ot.segments,sortKey:0,state:ht})}}we&&Ve.sort(function(co,ts){return co.sortKey-ts.sortKey});for(var fi=0,Ti=Ve;fi<Ti.length;fi+=1){var gn=Ti[fi],rn=gn.state,Ci=rn.programConfiguration,Bi=rn.program,Gi=rn.layoutVertexBuffer,sn=rn.indexBuffer,zn=rn.uniformValues,Ja=gn.segments;Bi.draw(Ue,ft.TRIANGLES,Xt,hr,qt,Er.disabled,zn,J.id,Gi,sn,Ja,J.paint,Y.transform.zoom,Ci)}}}}function Tt(Y,D,J,q){if(J.paint.get(\"heatmap-opacity\")!==0)if(Y.renderPass===\"offscreen\"){var K=Y.context,de=K.gl,ne=Fn.disabled,we=new wt([de.ONE,de.ONE],i.Color.transparent,[!0,!0,!0,!0]);Yt(K,Y,J),K.clear({color:i.Color.transparent});for(var Ue=0;Ue<q.length;Ue++){var ft=q[Ue];if(!D.hasRenderableParent(ft)){var Xt=D.getTile(ft),hr=Xt.getBucket(J);if(hr){var qt=hr.programConfigurations.get(J.id),Ve=Y.useProgram(\"heatmap\",qt),Qe=Y.transform,at=Qe.zoom;Ve.draw(K,de.TRIANGLES,wi.disabled,ne,we,Er.disabled,on(ft.posMatrix,Xt,at,J.paint.get(\"heatmap-intensity\")),J.id,hr.layoutVertexBuffer,hr.indexBuffer,hr.segments,J.paint,Y.transform.zoom,qt)}}}K.viewport.set([0,0,Y.width,Y.height])}else Y.renderPass===\"translucent\"&&(Y.context.setColorMode(Y.colorModeForRenderPass()),xr(Y,J))}function Yt(Y,D,J){var q=Y.gl;Y.activeTexture.set(q.TEXTURE1),Y.viewport.set([0,0,D.width/4,D.height/4]);var K=J.heatmapFbo;if(K)q.bindTexture(q.TEXTURE_2D,K.colorAttachment.get()),Y.bindFramebuffer.set(K.framebuffer);else{var de=q.createTexture();q.bindTexture(q.TEXTURE_2D,de),q.texParameteri(q.TEXTURE_2D,q.TEXTURE_WRAP_S,q.CLAMP_TO_EDGE),q.texParameteri(q.TEXTURE_2D,q.TEXTURE_WRAP_T,q.CLAMP_TO_EDGE),q.texParameteri(q.TEXTURE_2D,q.TEXTURE_MIN_FILTER,q.LINEAR),q.texParameteri(q.TEXTURE_2D,q.TEXTURE_MAG_FILTER,q.LINEAR),K=J.heatmapFbo=Y.createFramebuffer(D.width/4,D.height/4,!1),Kt(Y,D,de,K)}}function Kt(Y,D,J,q){var K=Y.gl,de=Y.extRenderToTextureHalfFloat?Y.extTextureHalfFloat.HALF_FLOAT_OES:K.UNSIGNED_BYTE;K.texImage2D(K.TEXTURE_2D,0,K.RGBA,D.width/4,D.height/4,0,K.RGBA,de,null),q.colorAttachment.set(J)}function xr(Y,D){var J=Y.context,q=J.gl,K=D.heatmapFbo;if(K){J.activeTexture.set(q.TEXTURE0),q.bindTexture(q.TEXTURE_2D,K.colorAttachment.get()),J.activeTexture.set(q.TEXTURE1);var de=D.colorRampTexture;de||(de=D.colorRampTexture=new i.Texture(J,D.colorRamp,q.RGBA)),de.bind(q.LINEAR,q.CLAMP_TO_EDGE),Y.useProgram(\"heatmapTexture\").draw(J,q.TRIANGLES,wi.disabled,Fn.disabled,Y.colorModeForRenderPass(),Er.disabled,Fi(Y,D,0,1),D.id,Y.viewportBuffer,Y.quadTriangleIndexBuffer,Y.viewportSegments,D.paint,Y.transform.zoom)}}function Ir(Y,D,J,q){if(Y.renderPass===\"translucent\"){var K=J.paint.get(\"line-opacity\"),de=J.paint.get(\"line-width\");if(!(K.constantOr(1)===0||de.constantOr(1)===0))for(var ne=Y.depthModeForSublayer(0,wi.ReadOnly),we=Y.colorModeForRenderPass(),Ue=J.paint.get(\"line-dasharray\"),ft=J.paint.get(\"line-pattern\"),Xt=ft.constantOr(1),hr=J.paint.get(\"line-gradient\"),qt=J.getCrossfadeParameters(),Ve=Xt?\"linePattern\":Ue?\"lineSDF\":hr?\"lineGradient\":\"line\",Qe=Y.context,at=Qe.gl,Ct=!0,Ot=0,Rt=q;Ot<Rt.length;Ot+=1){var Bt=Rt[Ot],Dt=D.getTile(Bt);if(!(Xt&&!Dt.patternsLoaded())){var yt=Dt.getBucket(J);if(yt){var Pt=yt.programConfigurations.get(J.id),ht=Y.context.program.get(),ur=Y.useProgram(Ve,Pt),br=Ct||ur.program!==ht,Ur=ft.constantOr(null);if(Ur&&Dt.imageAtlas){var Di=Dt.imageAtlas,fi=Di.patternPositions[Ur.to.toString()],Ti=Di.patternPositions[Ur.from.toString()];fi&&Ti&&Pt.setConstantPatternPositions(fi,Ti)}var gn=Xt?as(Y,Dt,J,qt):Ue?ws(Y,Dt,J,Ue,qt):hr?Ss(Y,Dt,J,yt.lineClipsArray.length):Xo(Y,Dt,J);if(Xt)Qe.activeTexture.set(at.TEXTURE0),Dt.imageAtlasTexture.bind(at.LINEAR,at.CLAMP_TO_EDGE),Pt.updatePaintBuffers(qt);else if(Ue&&(br||Y.lineAtlas.dirty))Qe.activeTexture.set(at.TEXTURE0),Y.lineAtlas.bind(Qe);else if(hr){var rn=yt.gradients[J.id],Ci=rn.texture;if(J.gradientVersion!==rn.version){var Bi=256;if(J.stepInterpolant){var Gi=D.getSource().maxzoom,sn=Bt.canonical.z===Gi?Math.ceil(1<<Y.transform.maxZoom-Bt.canonical.z):1,zn=yt.maxLineLength/i.EXTENT,Ja=1024,co=zn*Ja*sn;Bi=i.clamp(i.nextPowerOfTwo(co),256,Qe.maxTextureSize)}rn.gradient=i.renderColorRamp({expression:J.gradientExpression(),evaluationKey:\"lineProgress\",resolution:Bi,image:rn.gradient||void 0,clips:yt.lineClipsArray}),rn.texture?rn.texture.update(rn.gradient):rn.texture=new i.Texture(Qe,rn.gradient,at.RGBA),rn.version=J.gradientVersion,Ci=rn.texture}Qe.activeTexture.set(at.TEXTURE0),Ci.bind(J.stepInterpolant?at.NEAREST:at.LINEAR,at.CLAMP_TO_EDGE)}ur.draw(Qe,at.TRIANGLES,ne,Y.stencilModeForClipping(Bt),we,Er.disabled,gn,J.id,yt.layoutVertexBuffer,yt.indexBuffer,yt.segments,J.paint,Y.transform.zoom,Pt,yt.layoutVertexBuffer2),Ct=!1}}}}}function ve(Y,D,J,q){var K=J.paint.get(\"fill-color\"),de=J.paint.get(\"fill-opacity\");if(de.constantOr(1)!==0){var ne=Y.colorModeForRenderPass(),we=J.paint.get(\"fill-pattern\"),Ue=Y.opaquePassEnabledForLayer()&&!we.constantOr(1)&&K.constantOr(i.Color.transparent).a===1&&de.constantOr(0)===1?\"opaque\":\"translucent\";if(Y.renderPass===Ue){var ft=Y.depthModeForSublayer(1,Y.renderPass===\"opaque\"?wi.ReadWrite:wi.ReadOnly);be(Y,D,J,q,ft,ne,!1)}if(Y.renderPass===\"translucent\"&&J.paint.get(\"fill-antialias\")){var Xt=Y.depthModeForSublayer(J.getPaintProperty(\"fill-outline-color\")?2:0,wi.ReadOnly);be(Y,D,J,q,Xt,ne,!0)}}}function be(Y,D,J,q,K,de,ne){var we=Y.context.gl,Ue=J.paint.get(\"fill-pattern\"),ft=Ue&&Ue.constantOr(1),Xt=J.getCrossfadeParameters(),hr,qt,Ve,Qe,at;ne?(qt=ft&&!J.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",hr=we.LINES):(qt=ft?\"fillPattern\":\"fill\",hr=we.TRIANGLES);for(var Ct=0,Ot=q;Ct<Ot.length;Ct+=1){var Rt=Ot[Ct],Bt=D.getTile(Rt);if(!(ft&&!Bt.patternsLoaded())){var Dt=Bt.getBucket(J);if(Dt){var yt=Dt.programConfigurations.get(J.id),Pt=Y.useProgram(qt,yt);ft&&(Y.context.activeTexture.set(we.TEXTURE0),Bt.imageAtlasTexture.bind(we.LINEAR,we.CLAMP_TO_EDGE),yt.updatePaintBuffers(Xt));var ht=Ue.constantOr(null);if(ht&&Bt.imageAtlas){var ur=Bt.imageAtlas,br=ur.patternPositions[ht.to.toString()],Ur=ur.patternPositions[ht.from.toString()];br&&Ur&&yt.setConstantPatternPositions(br,Ur)}var Di=Y.translatePosMatrix(Rt.posMatrix,Bt,J.paint.get(\"fill-translate\"),J.paint.get(\"fill-translate-anchor\"));if(!ne)Qe=Dt.indexBuffer,at=Dt.segments,Ve=ft?cf(Di,Y,Xt,Bt):qc(Di);else{Qe=Dt.indexBuffer2,at=Dt.segments2;var fi=[we.drawingBufferWidth,we.drawingBufferHeight];Ve=qt===\"fillOutlinePattern\"&&ft?Bc(Di,Y,Xt,Bt,fi):fc(Di,fi)}Pt.draw(Y.context,hr,K,Y.stencilModeForClipping(Rt),de,Er.disabled,Ve,J.id,Dt.layoutVertexBuffer,Qe,at,J.paint,Y.transform.zoom,yt)}}}}function De(Y,D,J,q){var K=J.paint.get(\"fill-extrusion-opacity\");if(K!==0&&Y.renderPass===\"translucent\"){var de=new wi(Y.context.gl.LEQUAL,wi.ReadWrite,Y.depthRangeFor3D);if(K===1&&!J.paint.get(\"fill-extrusion-pattern\").constantOr(1)){var ne=Y.colorModeForRenderPass();Be(Y,D,J,q,de,Fn.disabled,ne)}else Be(Y,D,J,q,de,Fn.disabled,wt.disabled),Be(Y,D,J,q,de,Y.stencilModeFor3D(),Y.colorModeForRenderPass())}}function Be(Y,D,J,q,K,de,ne){for(var we=Y.context,Ue=we.gl,ft=J.paint.get(\"fill-extrusion-pattern\"),Xt=ft.constantOr(1),hr=J.getCrossfadeParameters(),qt=J.paint.get(\"fill-extrusion-opacity\"),Ve=0,Qe=q;Ve<Qe.length;Ve+=1){var at=Qe[Ve],Ct=D.getTile(at),Ot=Ct.getBucket(J);if(Ot){var Rt=Ot.programConfigurations.get(J.id),Bt=Y.useProgram(Xt?\"fillExtrusionPattern\":\"fillExtrusion\",Rt);Xt&&(Y.context.activeTexture.set(Ue.TEXTURE0),Ct.imageAtlasTexture.bind(Ue.LINEAR,Ue.CLAMP_TO_EDGE),Rt.updatePaintBuffers(hr));var Dt=ft.constantOr(null);if(Dt&&Ct.imageAtlas){var yt=Ct.imageAtlas,Pt=yt.patternPositions[Dt.to.toString()],ht=yt.patternPositions[Dt.from.toString()];Pt&&ht&&Rt.setConstantPatternPositions(Pt,ht)}var ur=Y.translatePosMatrix(at.posMatrix,Ct,J.paint.get(\"fill-extrusion-translate\"),J.paint.get(\"fill-extrusion-translate-anchor\")),br=J.paint.get(\"fill-extrusion-vertical-gradient\"),Ur=Xt?Zu(ur,Y,br,qt,at,hr,Ct):ah(ur,Y,br,qt);Bt.draw(we,we.gl.TRIANGLES,K,de,ne,Er.backCCW,Ur,J.id,Ot.layoutVertexBuffer,Ot.indexBuffer,Ot.segments,J.paint,Y.transform.zoom,Rt)}}}function et(Y,D,J,q){if(!(Y.renderPass!==\"offscreen\"&&Y.renderPass!==\"translucent\")){for(var K=Y.context,de=Y.depthModeForSublayer(0,wi.ReadOnly),ne=Y.colorModeForRenderPass(),we=Y.renderPass===\"translucent\"?Y.stencilConfigForOverlap(q):[{},q],Ue=we[0],ft=we[1],Xt=0,hr=ft;Xt<hr.length;Xt+=1){var qt=hr[Xt],Ve=D.getTile(qt);Ve.needsHillshadePrepare&&Y.renderPass===\"offscreen\"?it(Y,Ve,J,de,Fn.disabled,ne):Y.renderPass===\"translucent\"&&We(Y,Ve,J,de,Ue[qt.overscaledZ],ne)}K.viewport.set([0,0,Y.width,Y.height])}}function We(Y,D,J,q,K,de){var ne=Y.context,we=ne.gl,Ue=D.fbo;if(Ue){var ft=Y.useProgram(\"hillshade\");ne.activeTexture.set(we.TEXTURE0),we.bindTexture(we.TEXTURE_2D,Ue.colorAttachment.get());var Xt=Ra(Y,D,J);ft.draw(ne,we.TRIANGLES,q,K,de,Er.disabled,Xt,J.id,Y.rasterBoundsBuffer,Y.quadTriangleIndexBuffer,Y.rasterBoundsSegments)}}function it(Y,D,J,q,K,de){var ne=Y.context,we=ne.gl,Ue=D.dem;if(Ue&&Ue.data){var ft=Ue.dim,Xt=Ue.stride,hr=Ue.getPixels();if(ne.activeTexture.set(we.TEXTURE1),ne.pixelStoreUnpackPremultiplyAlpha.set(!1),D.demTexture=D.demTexture||Y.getTileTexture(Xt),D.demTexture){var qt=D.demTexture;qt.update(hr,{premultiply:!1}),qt.bind(we.NEAREST,we.CLAMP_TO_EDGE)}else D.demTexture=new i.Texture(ne,hr,we.RGBA,{premultiply:!1}),D.demTexture.bind(we.NEAREST,we.CLAMP_TO_EDGE);ne.activeTexture.set(we.TEXTURE0);var Ve=D.fbo;if(!Ve){var Qe=new i.Texture(ne,{width:ft,height:ft,data:null},we.RGBA);Qe.bind(we.LINEAR,we.CLAMP_TO_EDGE),Ve=D.fbo=ne.createFramebuffer(ft,ft,!0),Ve.colorAttachment.set(Qe.texture)}ne.bindFramebuffer.set(Ve.framebuffer),ne.viewport.set([0,0,ft,ft]),Y.useProgram(\"hillshadePrepare\").draw(ne,we.TRIANGLES,q,K,de,Er.disabled,La(D.tileID,Ue),J.id,Y.rasterBoundsBuffer,Y.quadTriangleIndexBuffer,Y.rasterBoundsSegments),D.needsHillshadePrepare=!1}}function Ft(Y,D,J,q){if(Y.renderPass===\"translucent\"&&J.paint.get(\"raster-opacity\")!==0&&q.length)for(var K=Y.context,de=K.gl,ne=D.getSource(),we=Y.useProgram(\"raster\"),Ue=Y.colorModeForRenderPass(),ft=ne instanceof Ce?[{},q]:Y.stencilConfigForOverlap(q),Xt=ft[0],hr=ft[1],qt=hr[hr.length-1].overscaledZ,Ve=!Y.options.moving,Qe=0,at=hr;Qe<at.length;Qe+=1){var Ct=at[Qe],Ot=Y.depthModeForSublayer(Ct.overscaledZ-qt,J.paint.get(\"raster-opacity\")===1?wi.ReadWrite:wi.ReadOnly,de.LESS),Rt=D.getTile(Ct),Bt=Y.transform.calculatePosMatrix(Ct.toUnwrapped(),Ve);Rt.registerFadeDuration(J.paint.get(\"raster-fade-duration\"));var Dt=D.findLoadedParent(Ct,0),yt=Ht(Rt,Dt,D,J,Y.transform),Pt=void 0,ht=void 0,ur=J.paint.get(\"raster-resampling\")===\"nearest\"?de.NEAREST:de.LINEAR;K.activeTexture.set(de.TEXTURE0),Rt.texture.bind(ur,de.CLAMP_TO_EDGE,de.LINEAR_MIPMAP_NEAREST),K.activeTexture.set(de.TEXTURE1),Dt?(Dt.texture.bind(ur,de.CLAMP_TO_EDGE,de.LINEAR_MIPMAP_NEAREST),Pt=Math.pow(2,Dt.tileID.overscaledZ-Rt.tileID.overscaledZ),ht=[Rt.tileID.canonical.x*Pt%1,Rt.tileID.canonical.y*Pt%1]):Rt.texture.bind(ur,de.CLAMP_TO_EDGE,de.LINEAR_MIPMAP_NEAREST);var br=Ls(Bt,ht||[0,0],Pt||1,yt,J);ne instanceof Ce?we.draw(K,de.TRIANGLES,Ot,Fn.disabled,Ue,Er.disabled,br,J.id,ne.boundsBuffer,Y.quadTriangleIndexBuffer,ne.boundsSegments):we.draw(K,de.TRIANGLES,Ot,Xt[Ct.overscaledZ],Ue,Er.disabled,br,J.id,Y.rasterBoundsBuffer,Y.quadTriangleIndexBuffer,Y.rasterBoundsSegments)}}function Ht(Y,D,J,q,K){var de=q.paint.get(\"raster-fade-duration\");if(de>0){var ne=i.browser.now(),we=(ne-Y.timeAdded)/de,Ue=D?(ne-D.timeAdded)/de:-1,ft=J.getSource(),Xt=K.coveringZoomLevel({tileSize:ft.tileSize,roundZoom:ft.roundZoom}),hr=!D||Math.abs(D.tileID.overscaledZ-Xt)>Math.abs(Y.tileID.overscaledZ-Xt),qt=hr&&Y.refreshedUponExpiration?1:i.clamp(hr?we:1-Ue,0,1);return Y.refreshedUponExpiration&&we>=1&&(Y.refreshedUponExpiration=!1),D?{opacity:1,mix:1-qt}:{opacity:qt,mix:0}}else return{opacity:1,mix:0}}function tr(Y,D,J){var q=J.paint.get(\"background-color\"),K=J.paint.get(\"background-opacity\");if(K!==0){var de=Y.context,ne=de.gl,we=Y.transform,Ue=we.tileSize,ft=J.paint.get(\"background-pattern\");if(!Y.isPatternMissing(ft)){var Xt=!ft&&q.a===1&&K===1&&Y.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(Y.renderPass===Xt){var hr=Fn.disabled,qt=Y.depthModeForSublayer(0,Xt===\"opaque\"?wi.ReadWrite:wi.ReadOnly),Ve=Y.colorModeForRenderPass(),Qe=Y.useProgram(ft?\"backgroundPattern\":\"background\"),at=we.coveringTiles({tileSize:Ue});ft&&(de.activeTexture.set(ne.TEXTURE0),Y.imageManager.bind(Y.context));for(var Ct=J.getCrossfadeParameters(),Ot=0,Rt=at;Ot<Rt.length;Ot+=1){var Bt=Rt[Ot],Dt=Y.transform.calculatePosMatrix(Bt.toUnwrapped()),yt=ft?Ua(Dt,K,Y,ft,{tileID:Bt,tileSize:Ue},Ct):Ac(Dt,K,q);Qe.draw(de,ne.TRIANGLES,qt,hr,Ve,Er.disabled,yt,J.id,Y.tileExtentBuffer,Y.quadTriangleIndexBuffer,Y.tileExtentSegments)}}}}}var dr=new i.Color(1,0,0,1),Sr=new i.Color(0,1,0,1),Or=new i.Color(0,0,1,1),Wr=new i.Color(1,0,1,1),ni=new i.Color(0,1,1,1);function Pi(Y){var D=Y.transform.padding,J=3;ln(Y,Y.transform.height-(D.top||0),J,dr),ln(Y,D.bottom||0,J,Sr),Cn(Y,D.left||0,J,Or),Cn(Y,Y.transform.width-(D.right||0),J,Wr);var q=Y.transform.centerPoint;cn(Y,q.x,Y.transform.height-q.y,ni)}function cn(Y,D,J,q){var K=20,de=2;Kn(Y,D-de/2,J-K/2,de,K,q),Kn(Y,D-K/2,J-de/2,K,de,q)}function ln(Y,D,J,q){Kn(Y,0,D+J/2,Y.transform.width,J,q)}function Cn(Y,D,J,q){Kn(Y,D-J/2,0,J,Y.transform.height,q)}function Kn(Y,D,J,q,K,de){var ne=Y.context,we=ne.gl;we.enable(we.SCISSOR_TEST),we.scissor(D*i.browser.devicePixelRatio,J*i.browser.devicePixelRatio,q*i.browser.devicePixelRatio,K*i.browser.devicePixelRatio),ne.clear({color:de}),we.disable(we.SCISSOR_TEST)}function Ta(Y,D,J){for(var q=0;q<J.length;q++)fa(Y,D,J[q])}function fa(Y,D,J){var q=Y.context,K=q.gl,de=J.posMatrix,ne=Y.useProgram(\"debug\"),we=wi.disabled,Ue=Fn.disabled,ft=Y.colorModeForRenderPass(),Xt=\"$debug\";q.activeTexture.set(K.TEXTURE0),Y.emptyTexture.bind(K.LINEAR,K.CLAMP_TO_EDGE),ne.draw(q,K.LINE_STRIP,we,Ue,ft,Er.disabled,dn(de,i.Color.red),Xt,Y.debugBuffer,Y.tileBorderIndexBuffer,Y.debugSegments);var hr=D.getTileByID(J.key).latestRawTileData,qt=hr&&hr.byteLength||0,Ve=Math.floor(qt/1024),Qe=D.getTile(J).tileSize,at=512/Math.min(Qe,512)*(J.overscaledZ/Y.transform.zoom)*.5,Ct=J.canonical.toString();J.overscaledZ!==J.canonical.z&&(Ct+=\" => \"+J.overscaledZ);var Ot=Ct+\" \"+Ve+\"kb\";$a(Y,Ot),ne.draw(q,K.TRIANGLES,we,Ue,wt.alphaBlended,Er.disabled,dn(de,i.Color.transparent,at),Xt,Y.debugBuffer,Y.quadTriangleIndexBuffer,Y.debugSegments)}function $a(Y,D){Y.initDebugOverlayCanvas();var J=Y.debugOverlayCanvas,q=Y.context.gl,K=Y.debugOverlayCanvas.getContext(\"2d\");K.clearRect(0,0,J.width,J.height),K.shadowColor=\"white\",K.shadowBlur=2,K.lineWidth=1.5,K.strokeStyle=\"white\",K.textBaseline=\"top\",K.font=\"bold 36px Open Sans, sans-serif\",K.fillText(D,5,5),K.strokeText(D,5,5),Y.debugOverlayTexture.update(J),Y.debugOverlayTexture.bind(q.LINEAR,q.CLAMP_TO_EDGE)}function Co(Y,D,J){var q=Y.context,K=J.implementation;if(Y.renderPass===\"offscreen\"){var de=K.prerender;de&&(Y.setCustomLayerDefaults(),q.setColorMode(Y.colorModeForRenderPass()),de.call(K,q.gl,Y.transform.customLayerMatrix()),q.setDirty(),Y.setBaseState())}else if(Y.renderPass===\"translucent\"){Y.setCustomLayerDefaults(),q.setColorMode(Y.colorModeForRenderPass()),q.setStencilMode(Fn.disabled);var ne=K.renderingMode===\"3d\"?new wi(Y.context.gl.LEQUAL,wi.ReadWrite,Y.depthRangeFor3D):Y.depthModeForSublayer(0,wi.ReadOnly);q.setDepthMode(ne),K.render(q.gl,Y.transform.customLayerMatrix()),q.setDirty(),Y.setBaseState(),q.bindFramebuffer.set(null)}}var Qa={symbol:w,circle:ot,heatmap:Tt,line:Ir,fill:ve,\"fill-extrusion\":De,hillshade:et,raster:Ft,background:tr,debug:Ta,custom:Co},mo=function(D,J){this.context=new Xr(D),this.transform=J,this._tileTextures={},this.setup(),this.numSublayers=ri.maxUnderzooming+ri.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Uf,this.gpuTimers={}};mo.prototype.resize=function(D,J){if(this.width=D*i.browser.devicePixelRatio,this.height=J*i.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var q=0,K=this.style._order;q<K.length;q+=1){var de=K[q];this.style._layers[de].resize()}},mo.prototype.setup=function(){var D=this.context,J=new i.StructArrayLayout2i4;J.emplaceBack(0,0),J.emplaceBack(i.EXTENT,0),J.emplaceBack(0,i.EXTENT),J.emplaceBack(i.EXTENT,i.EXTENT),this.tileExtentBuffer=D.createVertexBuffer(J,oc.members),this.tileExtentSegments=i.SegmentVector.simpleSegment(0,0,4,2);var q=new i.StructArrayLayout2i4;q.emplaceBack(0,0),q.emplaceBack(i.EXTENT,0),q.emplaceBack(0,i.EXTENT),q.emplaceBack(i.EXTENT,i.EXTENT),this.debugBuffer=D.createVertexBuffer(q,oc.members),this.debugSegments=i.SegmentVector.simpleSegment(0,0,4,5);var K=new i.StructArrayLayout4i8;K.emplaceBack(0,0,0,0),K.emplaceBack(i.EXTENT,0,i.EXTENT,0),K.emplaceBack(0,i.EXTENT,0,i.EXTENT),K.emplaceBack(i.EXTENT,i.EXTENT,i.EXTENT,i.EXTENT),this.rasterBoundsBuffer=D.createVertexBuffer(K,Ee.members),this.rasterBoundsSegments=i.SegmentVector.simpleSegment(0,0,4,2);var de=new i.StructArrayLayout2i4;de.emplaceBack(0,0),de.emplaceBack(1,0),de.emplaceBack(0,1),de.emplaceBack(1,1),this.viewportBuffer=D.createVertexBuffer(de,oc.members),this.viewportSegments=i.SegmentVector.simpleSegment(0,0,4,2);var ne=new i.StructArrayLayout1ui2;ne.emplaceBack(0),ne.emplaceBack(1),ne.emplaceBack(3),ne.emplaceBack(2),ne.emplaceBack(0),this.tileBorderIndexBuffer=D.createIndexBuffer(ne);var we=new i.StructArrayLayout3ui6;we.emplaceBack(0,1,2),we.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=D.createIndexBuffer(we),this.emptyTexture=new i.Texture(D,{width:1,height:1,data:new Uint8Array([0,0,0,0])},D.gl.RGBA);var Ue=this.context.gl;this.stencilClearMode=new Fn({func:Ue.ALWAYS,mask:0},0,255,Ue.ZERO,Ue.ZERO,Ue.ZERO)},mo.prototype.clearStencil=function(){var D=this.context,J=D.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var q=i.create();i.ortho(q,0,this.width,this.height,0,0,1),i.scale(q,q,[J.drawingBufferWidth,J.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(D,J.TRIANGLES,wi.disabled,this.stencilClearMode,wt.disabled,Er.disabled,Nn(q),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},mo.prototype._renderTileClippingMasks=function(D,J){if(!(this.currentStencilSource===D.source||!D.isTileClipped()||!J||!J.length)){this.currentStencilSource=D.source;var q=this.context,K=q.gl;this.nextStencilID+J.length>256&&this.clearStencil(),q.setColorMode(wt.disabled),q.setDepthMode(wi.disabled);var de=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var ne=0,we=J;ne<we.length;ne+=1){var Ue=we[ne],ft=this._tileClippingMaskIDs[Ue.key]=this.nextStencilID++;de.draw(q,K.TRIANGLES,wi.disabled,new Fn({func:K.ALWAYS,mask:0},ft,255,K.KEEP,K.KEEP,K.REPLACE),wt.disabled,Er.disabled,Nn(Ue.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},mo.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var D=this.nextStencilID++,J=this.context.gl;return new Fn({func:J.NOTEQUAL,mask:255},D,255,J.KEEP,J.KEEP,J.REPLACE)},mo.prototype.stencilModeForClipping=function(D){var J=this.context.gl;return new Fn({func:J.EQUAL,mask:255},this._tileClippingMaskIDs[D.key],0,J.KEEP,J.KEEP,J.REPLACE)},mo.prototype.stencilConfigForOverlap=function(D){var J,q=this.context.gl,K=D.sort(function(ft,Xt){return Xt.overscaledZ-ft.overscaledZ}),de=K[K.length-1].overscaledZ,ne=K[0].overscaledZ-de+1;if(ne>1){this.currentStencilSource=void 0,this.nextStencilID+ne>256&&this.clearStencil();for(var we={},Ue=0;Ue<ne;Ue++)we[Ue+de]=new Fn({func:q.GEQUAL,mask:255},Ue+this.nextStencilID,255,q.KEEP,q.KEEP,q.REPLACE);return this.nextStencilID+=ne,[we,K]}return[(J={},J[de]=Fn.disabled,J),K]},mo.prototype.colorModeForRenderPass=function(){var D=this.context.gl;if(this._showOverdrawInspector){var J=8,q=1/J;return new wt([D.CONSTANT_COLOR,D.ONE],new i.Color(q,q,q,0),[!0,!0,!0,!0])}else return this.renderPass===\"opaque\"?wt.unblended:wt.alphaBlended},mo.prototype.depthModeForSublayer=function(D,J,q){if(!this.opaquePassEnabledForLayer())return wi.disabled;var K=1-((1+this.currentLayer)*this.numSublayers+D)*this.depthEpsilon;return new wi(q||this.context.gl.LEQUAL,J,[K,K])},mo.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},mo.prototype.render=function(D,J){var q=this;this.style=D,this.options=J,this.lineAtlas=D.lineAtlas,this.imageManager=D.imageManager,this.glyphManager=D.glyphManager,this.symbolFadeChange=D.placement.symbolFadeChange(i.browser.now()),this.imageManager.beginFrame();var K=this.style._order,de=this.style.sourceCaches;for(var ne in de){var we=de[ne];we.used&&we.prepare(this.context)}var Ue={},ft={},Xt={};for(var hr in de){var qt=de[hr];Ue[hr]=qt.getVisibleCoordinates(),ft[hr]=Ue[hr].slice().reverse(),Xt[hr]=qt.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var Ve=0;Ve<K.length;Ve++){var Qe=K[Ve];if(this.style._layers[Qe].is3D()){this.opaquePassCutoff=Ve;break}}this.renderPass=\"offscreen\";for(var at=0,Ct=K;at<Ct.length;at+=1){var Ot=Ct[at],Rt=this.style._layers[Ot];if(!(!Rt.hasOffscreenPass()||Rt.isHidden(this.transform.zoom))){var Bt=ft[Rt.source];Rt.type!==\"custom\"&&!Bt.length||this.renderLayer(this,de[Rt.source],Rt,Bt)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:J.showOverdrawInspector?i.Color.black:i.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=J.showOverdrawInspector,this.depthRangeFor3D=[0,1-(D._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=K.length-1;this.currentLayer>=0;this.currentLayer--){var Dt=this.style._layers[K[this.currentLayer]],yt=de[Dt.source],Pt=Ue[Dt.source];this._renderTileClippingMasks(Dt,Pt),this.renderLayer(this,yt,Dt,Pt)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<K.length;this.currentLayer++){var ht=this.style._layers[K[this.currentLayer]],ur=de[ht.source],br=(ht.type===\"symbol\"?Xt:ft)[ht.source];this._renderTileClippingMasks(ht,Ue[ht.source]),this.renderLayer(this,ur,ht,br)}if(this.options.showTileBoundaries){var Ur,Di,fi=i.values(this.style._layers);fi.forEach(function(Ti){Ti.source&&!Ti.isHidden(q.transform.zoom)&&(Ti.source!==(Di&&Di.id)&&(Di=q.style.sourceCaches[Ti.source]),(!Ur||Ur.getSource().maxzoom<Di.getSource().maxzoom)&&(Ur=Di))}),Ur&&Qa.debug(this,Ur,Ur.getVisibleCoordinates())}this.options.showPadding&&Pi(this),this.context.setDefault()},mo.prototype.renderLayer=function(D,J,q,K){q.isHidden(this.transform.zoom)||q.type!==\"background\"&&q.type!==\"custom\"&&!K.length||(this.id=q.id,this.gpuTimingStart(q),Qa[q.type](D,J,q,K,this.style.placement.variableOffsets),this.gpuTimingEnd())},mo.prototype.gpuTimingStart=function(D){if(this.options.gpuTiming){var J=this.context.extTimerQuery,q=this.gpuTimers[D.id];q||(q=this.gpuTimers[D.id]={calls:0,cpuTime:0,query:J.createQueryEXT()}),q.calls++,J.beginQueryEXT(J.TIME_ELAPSED_EXT,q.query)}},mo.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var D=this.context.extTimerQuery;D.endQueryEXT(D.TIME_ELAPSED_EXT)}},mo.prototype.collectGpuTimers=function(){var D=this.gpuTimers;return this.gpuTimers={},D},mo.prototype.queryGpuTimers=function(D){var J={};for(var q in D){var K=D[q],de=this.context.extTimerQuery,ne=de.getQueryObjectEXT(K.query,de.QUERY_RESULT_EXT)/(1e3*1e3);de.deleteQueryEXT(K.query),J[q]=ne}return J},mo.prototype.translatePosMatrix=function(D,J,q,K,de){if(!q[0]&&!q[1])return D;var ne=de?K===\"map\"?this.transform.angle:0:K===\"viewport\"?-this.transform.angle:0;if(ne){var we=Math.sin(ne),Ue=Math.cos(ne);q=[q[0]*Ue-q[1]*we,q[0]*we+q[1]*Ue]}var ft=[de?q[0]:As(J,q[0],this.transform.zoom),de?q[1]:As(J,q[1],this.transform.zoom),0],Xt=new Float32Array(16);return i.translate(Xt,D,ft),Xt},mo.prototype.saveTileTexture=function(D){var J=this._tileTextures[D.size[0]];J?J.push(D):this._tileTextures[D.size[0]]=[D]},mo.prototype.getTileTexture=function(D){var J=this._tileTextures[D];return J&&J.length>0?J.pop():null},mo.prototype.isPatternMissing=function(D){if(!D)return!1;if(!D.from||!D.to)return!0;var J=this.imageManager.getPattern(D.from.toString()),q=this.imageManager.getPattern(D.to.toString());return!J||!q},mo.prototype.useProgram=function(D,J){this.cache=this.cache||{};var q=\"\"+D+(J?J.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[q]||(this.cache[q]=new Rf(this.context,D,wf[D],J,oo[D],this._showOverdrawInspector)),this.cache[q]},mo.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()},mo.prototype.setBaseState=function(){var D=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(D.FUNC_ADD)},mo.prototype.initDebugOverlayCanvas=function(){if(this.debugOverlayCanvas==null){this.debugOverlayCanvas=i.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var D=this.context.gl;this.debugOverlayTexture=new i.Texture(this.context,this.debugOverlayCanvas,D.RGBA)}},mo.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var Bo=function(D,J){this.points=D,this.planes=J};Bo.fromInvProjectionMatrix=function(D,J,q){var K=[[-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]],de=Math.pow(2,q),ne=K.map(function(ft){return i.transformMat4([],ft,D)}).map(function(ft){return i.scale$1([],ft,1/ft[3]/J*de)}),we=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]],Ue=we.map(function(ft){var Xt=i.sub([],ne[ft[0]],ne[ft[1]]),hr=i.sub([],ne[ft[2]],ne[ft[1]]),qt=i.normalize([],i.cross([],Xt,hr)),Ve=-i.dot(qt,ne[ft[1]]);return qt.concat(Ve)});return new Bo(ne,Ue)};var Ps=function(D,J){this.min=D,this.max=J,this.center=i.scale$2([],i.add([],this.min,this.max),.5)};Ps.prototype.quadrant=function(D){for(var J=[D%2===0,D<2],q=i.clone$2(this.min),K=i.clone$2(this.max),de=0;de<J.length;de++)q[de]=J[de]?this.min[de]:this.center[de],K[de]=J[de]?this.center[de]:this.max[de];return K[2]=this.max[2],new Ps(q,K)},Ps.prototype.distanceX=function(D){var J=Math.max(Math.min(this.max[0],D[0]),this.min[0]);return J-D[0]},Ps.prototype.distanceY=function(D){var J=Math.max(Math.min(this.max[1],D[1]),this.min[1]);return J-D[1]},Ps.prototype.intersects=function(D){for(var J=[[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]],q=!0,K=0;K<D.planes.length;K++){for(var de=D.planes[K],ne=0,we=0;we<J.length;we++)ne+=i.dot$1(de,J[we])>=0;if(ne===0)return 0;ne!==J.length&&(q=!1)}if(q)return 2;for(var Ue=0;Ue<3;Ue++){for(var ft=Number.MAX_VALUE,Xt=-Number.MAX_VALUE,hr=0;hr<D.points.length;hr++){var qt=D.points[hr][Ue]-this.min[Ue];ft=Math.min(ft,qt),Xt=Math.max(Xt,qt)}if(Xt<0||ft>this.max[Ue]-this.min[Ue])return 0}return 1};var Ts=function(D,J,q,K){if(D===void 0&&(D=0),J===void 0&&(J=0),q===void 0&&(q=0),K===void 0&&(K=0),isNaN(D)||D<0||isNaN(J)||J<0||isNaN(q)||q<0||isNaN(K)||K<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=D,this.bottom=J,this.left=q,this.right=K};Ts.prototype.interpolate=function(D,J,q){return J.top!=null&&D.top!=null&&(this.top=i.number(D.top,J.top,q)),J.bottom!=null&&D.bottom!=null&&(this.bottom=i.number(D.bottom,J.bottom,q)),J.left!=null&&D.left!=null&&(this.left=i.number(D.left,J.left,q)),J.right!=null&&D.right!=null&&(this.right=i.number(D.right,J.right,q)),this},Ts.prototype.getCenter=function(D,J){var q=i.clamp((this.left+D-this.right)/2,0,D),K=i.clamp((this.top+J-this.bottom)/2,0,J);return new i.Point(q,K)},Ts.prototype.equals=function(D){return this.top===D.top&&this.bottom===D.bottom&&this.left===D.left&&this.right===D.right},Ts.prototype.clone=function(){return new Ts(this.top,this.bottom,this.left,this.right)},Ts.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var wo=function(D,J,q,K,de){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=de===void 0?!0:de,this._minZoom=D||0,this._maxZoom=J||22,this._minPitch=q==null?0:q,this._maxPitch=K==null?60:K,this.setMaxBounds(),this.width=0,this.height=0,this._center=new i.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new Ts,this._posMatrixCache={},this._alignedPosMatrixCache={}},To={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}};wo.prototype.clone=function(){var D=new wo(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return D.tileSize=this.tileSize,D.latRange=this.latRange,D.width=this.width,D.height=this.height,D._center=this._center,D.zoom=this.zoom,D.angle=this.angle,D._fov=this._fov,D._pitch=this._pitch,D._unmodified=this._unmodified,D._edgeInsets=this._edgeInsets.clone(),D._calcMatrices(),D},To.minZoom.get=function(){return this._minZoom},To.minZoom.set=function(Y){this._minZoom!==Y&&(this._minZoom=Y,this.zoom=Math.max(this.zoom,Y))},To.maxZoom.get=function(){return this._maxZoom},To.maxZoom.set=function(Y){this._maxZoom!==Y&&(this._maxZoom=Y,this.zoom=Math.min(this.zoom,Y))},To.minPitch.get=function(){return this._minPitch},To.minPitch.set=function(Y){this._minPitch!==Y&&(this._minPitch=Y,this.pitch=Math.max(this.pitch,Y))},To.maxPitch.get=function(){return this._maxPitch},To.maxPitch.set=function(Y){this._maxPitch!==Y&&(this._maxPitch=Y,this.pitch=Math.min(this.pitch,Y))},To.renderWorldCopies.get=function(){return this._renderWorldCopies},To.renderWorldCopies.set=function(Y){Y===void 0?Y=!0:Y===null&&(Y=!1),this._renderWorldCopies=Y},To.worldSize.get=function(){return this.tileSize*this.scale},To.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},To.size.get=function(){return new i.Point(this.width,this.height)},To.bearing.get=function(){return-this.angle/Math.PI*180},To.bearing.set=function(Y){var D=-i.wrap(Y,-180,180)*Math.PI/180;this.angle!==D&&(this._unmodified=!1,this.angle=D,this._calcMatrices(),this.rotationMatrix=i.create$2(),i.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},To.pitch.get=function(){return this._pitch/Math.PI*180},To.pitch.set=function(Y){var D=i.clamp(Y,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==D&&(this._unmodified=!1,this._pitch=D,this._calcMatrices())},To.fov.get=function(){return this._fov/Math.PI*180},To.fov.set=function(Y){Y=Math.max(.01,Math.min(60,Y)),this._fov!==Y&&(this._unmodified=!1,this._fov=Y/180*Math.PI,this._calcMatrices())},To.zoom.get=function(){return this._zoom},To.zoom.set=function(Y){var D=Math.min(Math.max(Y,this.minZoom),this.maxZoom);this._zoom!==D&&(this._unmodified=!1,this._zoom=D,this.scale=this.zoomScale(D),this.tileZoom=Math.floor(D),this.zoomFraction=D-this.tileZoom,this._constrain(),this._calcMatrices())},To.center.get=function(){return this._center},To.center.set=function(Y){Y.lat===this._center.lat&&Y.lng===this._center.lng||(this._unmodified=!1,this._center=Y,this._constrain(),this._calcMatrices())},To.padding.get=function(){return this._edgeInsets.toJSON()},To.padding.set=function(Y){this._edgeInsets.equals(Y)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,Y,1),this._calcMatrices())},To.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},wo.prototype.isPaddingEqual=function(D){return this._edgeInsets.equals(D)},wo.prototype.interpolatePadding=function(D,J,q){this._unmodified=!1,this._edgeInsets.interpolate(D,J,q),this._constrain(),this._calcMatrices()},wo.prototype.coveringZoomLevel=function(D){var J=(D.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/D.tileSize));return Math.max(0,J)},wo.prototype.getVisibleUnwrappedCoordinates=function(D){var J=[new i.UnwrappedTileID(0,D)];if(this._renderWorldCopies)for(var q=this.pointCoordinate(new i.Point(0,0)),K=this.pointCoordinate(new i.Point(this.width,0)),de=this.pointCoordinate(new i.Point(this.width,this.height)),ne=this.pointCoordinate(new i.Point(0,this.height)),we=Math.floor(Math.min(q.x,K.x,de.x,ne.x)),Ue=Math.floor(Math.max(q.x,K.x,de.x,ne.x)),ft=1,Xt=we-ft;Xt<=Ue+ft;Xt++)Xt!==0&&J.push(new i.UnwrappedTileID(Xt,D));return J},wo.prototype.coveringTiles=function(D){var J=this.coveringZoomLevel(D),q=J;if(D.minzoom!==void 0&&J<D.minzoom)return[];D.maxzoom!==void 0&&J>D.maxzoom&&(J=D.maxzoom);var K=i.MercatorCoordinate.fromLngLat(this.center),de=Math.pow(2,J),ne=[de*K.x,de*K.y,0],we=Bo.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,J),Ue=D.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(Ue=J);var ft=3,Xt=function(fi){return{aabb:new Ps([fi*de,0,0],[(fi+1)*de,de,0]),zoom:0,x:0,y:0,wrap:fi,fullyVisible:!1}},hr=[],qt=[],Ve=J,Qe=D.reparseOverscaled?q:J;if(this._renderWorldCopies)for(var at=1;at<=3;at++)hr.push(Xt(-at)),hr.push(Xt(at));for(hr.push(Xt(0));hr.length>0;){var Ct=hr.pop(),Ot=Ct.x,Rt=Ct.y,Bt=Ct.fullyVisible;if(!Bt){var Dt=Ct.aabb.intersects(we);if(Dt===0)continue;Bt=Dt===2}var yt=Ct.aabb.distanceX(ne),Pt=Ct.aabb.distanceY(ne),ht=Math.max(Math.abs(yt),Math.abs(Pt)),ur=ft+(1<<Ve-Ct.zoom)-2;if(Ct.zoom===Ve||ht>ur&&Ct.zoom>=Ue){qt.push({tileID:new i.OverscaledTileID(Ct.zoom===Ve?Qe:Ct.zoom,Ct.wrap,Ct.zoom,Ot,Rt),distanceSq:i.sqrLen([ne[0]-.5-Ot,ne[1]-.5-Rt])});continue}for(var br=0;br<4;br++){var Ur=(Ot<<1)+br%2,Di=(Rt<<1)+(br>>1);hr.push({aabb:Ct.aabb.quadrant(br),zoom:Ct.zoom+1,x:Ur,y:Di,wrap:Ct.wrap,fullyVisible:Bt})}}return qt.sort(function(fi,Ti){return fi.distanceSq-Ti.distanceSq}).map(function(fi){return fi.tileID})},wo.prototype.resize=function(D,J){this.width=D,this.height=J,this.pixelsToGLUnits=[2/D,-2/J],this._constrain(),this._calcMatrices()},To.unmodified.get=function(){return this._unmodified},wo.prototype.zoomScale=function(D){return Math.pow(2,D)},wo.prototype.scaleZoom=function(D){return Math.log(D)/Math.LN2},wo.prototype.project=function(D){var J=i.clamp(D.lat,-this.maxValidLatitude,this.maxValidLatitude);return new i.Point(i.mercatorXfromLng(D.lng)*this.worldSize,i.mercatorYfromLat(J)*this.worldSize)},wo.prototype.unproject=function(D){return new i.MercatorCoordinate(D.x/this.worldSize,D.y/this.worldSize).toLngLat()},To.point.get=function(){return this.project(this.center)},wo.prototype.setLocationAtPoint=function(D,J){var q=this.pointCoordinate(J),K=this.pointCoordinate(this.centerPoint),de=this.locationCoordinate(D),ne=new i.MercatorCoordinate(de.x-(q.x-K.x),de.y-(q.y-K.y));this.center=this.coordinateLocation(ne),this._renderWorldCopies&&(this.center=this.center.wrap())},wo.prototype.locationPoint=function(D){return this.coordinatePoint(this.locationCoordinate(D))},wo.prototype.pointLocation=function(D){return this.coordinateLocation(this.pointCoordinate(D))},wo.prototype.locationCoordinate=function(D){return i.MercatorCoordinate.fromLngLat(D)},wo.prototype.coordinateLocation=function(D){return D.toLngLat()},wo.prototype.pointCoordinate=function(D){var J=0,q=[D.x,D.y,0,1],K=[D.x,D.y,1,1];i.transformMat4(q,q,this.pixelMatrixInverse),i.transformMat4(K,K,this.pixelMatrixInverse);var de=q[3],ne=K[3],we=q[0]/de,Ue=K[0]/ne,ft=q[1]/de,Xt=K[1]/ne,hr=q[2]/de,qt=K[2]/ne,Ve=hr===qt?0:(J-hr)/(qt-hr);return new i.MercatorCoordinate(i.number(we,Ue,Ve)/this.worldSize,i.number(ft,Xt,Ve)/this.worldSize)},wo.prototype.coordinatePoint=function(D){var J=[D.x*this.worldSize,D.y*this.worldSize,0,1];return i.transformMat4(J,J,this.pixelMatrix),new i.Point(J[0]/J[3],J[1]/J[3])},wo.prototype.getBounds=function(){return new i.LngLatBounds().extend(this.pointLocation(new i.Point(0,0))).extend(this.pointLocation(new i.Point(this.width,0))).extend(this.pointLocation(new i.Point(this.width,this.height))).extend(this.pointLocation(new i.Point(0,this.height)))},wo.prototype.getMaxBounds=function(){return!this.latRange||this.latRange.length!==2||!this.lngRange||this.lngRange.length!==2?null:new i.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]])},wo.prototype.setMaxBounds=function(D){D?(this.lngRange=[D.getWest(),D.getEast()],this.latRange=[D.getSouth(),D.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},wo.prototype.calculatePosMatrix=function(D,J){J===void 0&&(J=!1);var q=D.key,K=J?this._alignedPosMatrixCache:this._posMatrixCache;if(K[q])return K[q];var de=D.canonical,ne=this.worldSize/this.zoomScale(de.z),we=de.x+Math.pow(2,de.z)*D.wrap,Ue=i.identity(new Float64Array(16));return i.translate(Ue,Ue,[we*ne,de.y*ne,0]),i.scale(Ue,Ue,[ne/i.EXTENT,ne/i.EXTENT,1]),i.multiply(Ue,J?this.alignedProjMatrix:this.projMatrix,Ue),K[q]=new Float32Array(Ue),K[q]},wo.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},wo.prototype._constrain=function(){if(!(!this.center||!this.width||!this.height||this._constraining)){this._constraining=!0;var D=-90,J=90,q=-180,K=180,de,ne,we,Ue,ft=this.size,Xt=this._unmodified;if(this.latRange){var hr=this.latRange;D=i.mercatorYfromLat(hr[1])*this.worldSize,J=i.mercatorYfromLat(hr[0])*this.worldSize,de=J-D<ft.y?ft.y/(J-D):0}if(this.lngRange){var qt=this.lngRange;q=i.mercatorXfromLng(qt[0])*this.worldSize,K=i.mercatorXfromLng(qt[1])*this.worldSize,ne=K-q<ft.x?ft.x/(K-q):0}var Ve=this.point,Qe=Math.max(ne||0,de||0);if(Qe){this.center=this.unproject(new i.Point(ne?(K+q)/2:Ve.x,de?(J+D)/2:Ve.y)),this.zoom+=this.scaleZoom(Qe),this._unmodified=Xt,this._constraining=!1;return}if(this.latRange){var at=Ve.y,Ct=ft.y/2;at-Ct<D&&(Ue=D+Ct),at+Ct>J&&(Ue=J-Ct)}if(this.lngRange){var Ot=Ve.x,Rt=ft.x/2;Ot-Rt<q&&(we=q+Rt),Ot+Rt>K&&(we=K-Rt)}(we!==void 0||Ue!==void 0)&&(this.center=this.unproject(new i.Point(we!==void 0?we:Ve.x,Ue!==void 0?Ue:Ve.y))),this._unmodified=Xt,this._constraining=!1}},wo.prototype._calcMatrices=function(){if(this.height){var D=this._fov/2,J=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(D)*this.height;var q=Math.PI/2+this._pitch,K=this._fov*(.5+J.y/this.height),de=Math.sin(K)*this.cameraToCenterDistance/Math.sin(i.clamp(Math.PI-q-K,.01,Math.PI-.01)),ne=this.point,we=ne.x,Ue=ne.y,ft=Math.cos(Math.PI/2-this._pitch)*de+this.cameraToCenterDistance,Xt=ft*1.01,hr=this.height/50,qt=new Float64Array(16);i.perspective(qt,this._fov,this.width/this.height,hr,Xt),qt[8]=-J.x*2/this.width,qt[9]=J.y*2/this.height,i.scale(qt,qt,[1,-1,1]),i.translate(qt,qt,[0,0,-this.cameraToCenterDistance]),i.rotateX(qt,qt,this._pitch),i.rotateZ(qt,qt,this.angle),i.translate(qt,qt,[-we,-Ue,0]),this.mercatorMatrix=i.scale([],qt,[this.worldSize,this.worldSize,this.worldSize]),i.scale(qt,qt,[1,1,i.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=qt,this.invProjMatrix=i.invert([],this.projMatrix);var Ve=this.width%2/2,Qe=this.height%2/2,at=Math.cos(this.angle),Ct=Math.sin(this.angle),Ot=we-Math.round(we)+at*Ve+Ct*Qe,Rt=Ue-Math.round(Ue)+at*Qe+Ct*Ve,Bt=new Float64Array(qt);if(i.translate(Bt,Bt,[Ot>.5?Ot-1:Ot,Rt>.5?Rt-1:Rt,0]),this.alignedProjMatrix=Bt,qt=i.create(),i.scale(qt,qt,[this.width/2,-this.height/2,1]),i.translate(qt,qt,[1,-1,0]),this.labelPlaneMatrix=qt,qt=i.create(),i.scale(qt,qt,[1,-1,1]),i.translate(qt,qt,[-1,-1,0]),i.scale(qt,qt,[2/this.width,2/this.height,1]),this.glCoordMatrix=qt,this.pixelMatrix=i.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),qt=i.invert(new Float64Array(16),this.pixelMatrix),!qt)throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=qt,this._posMatrixCache={},this._alignedPosMatrixCache={}}},wo.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var D=this.pointCoordinate(new i.Point(0,0)),J=[D.x*this.worldSize,D.y*this.worldSize,0,1],q=i.transformMat4(J,J,this.pixelMatrix);return q[3]/this.cameraToCenterDistance},wo.prototype.getCameraPoint=function(){var D=this._pitch,J=Math.tan(D)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new i.Point(0,J))},wo.prototype.getCameraQueryGeometry=function(D){var J=this.getCameraPoint();if(D.length===1)return[D[0],J];for(var q=J.x,K=J.y,de=J.x,ne=J.y,we=0,Ue=D;we<Ue.length;we+=1){var ft=Ue[we];q=Math.min(q,ft.x),K=Math.min(K,ft.y),de=Math.max(de,ft.x),ne=Math.max(ne,ft.y)}return[new i.Point(q,K),new i.Point(de,K),new i.Point(de,ne),new i.Point(q,ne),new i.Point(q,K)]},Object.defineProperties(wo.prototype,To);function hl(Y,D){var J=!1,q=null,K=function(){q=null,J&&(Y(),q=setTimeout(K,D),J=!1)};return function(){return J=!0,q||K(),q}}var Ul=function(D){this._hashName=D&&encodeURIComponent(D),i.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=hl(this._updateHashUnthrottled.bind(this),30*1e3/100)};Ul.prototype.addTo=function(D){return this._map=D,i.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},Ul.prototype.remove=function(){return i.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},Ul.prototype.getHashString=function(D){var J=this._map.getCenter(),q=Math.round(this._map.getZoom()*100)/100,K=Math.ceil((q*Math.LN2+Math.log(512/360/.5))/Math.LN10),de=Math.pow(10,K),ne=Math.round(J.lng*de)/de,we=Math.round(J.lat*de)/de,Ue=this._map.getBearing(),ft=this._map.getPitch(),Xt=\"\";if(D?Xt+=\"/\"+ne+\"/\"+we+\"/\"+q:Xt+=q+\"/\"+we+\"/\"+ne,(Ue||ft)&&(Xt+=\"/\"+Math.round(Ue*10)/10),ft&&(Xt+=\"/\"+Math.round(ft)),this._hashName){var hr=this._hashName,qt=!1,Ve=i.window.location.hash.slice(1).split(\"&\").map(function(Qe){var at=Qe.split(\"=\")[0];return at===hr?(qt=!0,at+\"=\"+Xt):Qe}).filter(function(Qe){return Qe});return qt||Ve.push(hr+\"=\"+Xt),\"#\"+Ve.join(\"&\")}return\"#\"+Xt},Ul.prototype._getCurrentHash=function(){var D=this,J=i.window.location.hash.replace(\"#\",\"\");if(this._hashName){var q;return J.split(\"&\").map(function(K){return K.split(\"=\")}).forEach(function(K){K[0]===D._hashName&&(q=K)}),(q&&q[1]||\"\").split(\"/\")}return J.split(\"/\")},Ul.prototype._onHashChange=function(){var D=this._getCurrentHash();if(D.length>=3&&!D.some(function(q){return isNaN(q)})){var J=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(D[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+D[2],+D[1]],zoom:+D[0],bearing:J,pitch:+(D[4]||0)}),!0}return!1},Ul.prototype._updateHashUnthrottled=function(){var D=i.window.location.href.replace(/(#.+)?$/,this.getHashString());try{i.window.history.replaceState(i.window.history.state,null,D)}catch(J){}};var Lu={linearity:.3,easing:i.bezier(0,0,.3,1)},au=i.extend({deceleration:2500,maxSpeed:1400},Lu),Js=i.extend({deceleration:20,maxSpeed:1400},Lu),Ql=i.extend({deceleration:1e3,maxSpeed:360},Lu),dc=i.extend({deceleration:1e3,maxSpeed:90},Lu),Tl=function(D){this._map=D,this.clear()};Tl.prototype.clear=function(){this._inertiaBuffer=[]},Tl.prototype.record=function(D){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:i.browser.now(),settings:D})},Tl.prototype._drainInertiaBuffer=function(){for(var D=this._inertiaBuffer,J=i.browser.now(),q=160;D.length>0&&J-D[0].time>q;)D.shift()},Tl.prototype._onMoveEnd=function(D){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var J={zoom:0,bearing:0,pitch:0,pan:new i.Point(0,0),pinchAround:void 0,around:void 0},q=0,K=this._inertiaBuffer;q<K.length;q+=1){var de=K[q],ne=de.settings;J.zoom+=ne.zoomDelta||0,J.bearing+=ne.bearingDelta||0,J.pitch+=ne.pitchDelta||0,ne.panDelta&&J.pan._add(ne.panDelta),ne.around&&(J.around=ne.around),ne.pinchAround&&(J.pinchAround=ne.pinchAround)}var we=this._inertiaBuffer[this._inertiaBuffer.length-1],Ue=we.time-this._inertiaBuffer[0].time,ft={};if(J.pan.mag()){var Xt=X(J.pan.mag(),Ue,i.extend({},au,D||{}));ft.offset=J.pan.mult(Xt.amount/J.pan.mag()),ft.center=this._map.transform.center,Al(ft,Xt)}if(J.zoom){var hr=X(J.zoom,Ue,Js);ft.zoom=this._map.transform.zoom+hr.amount,Al(ft,hr)}if(J.bearing){var qt=X(J.bearing,Ue,Ql);ft.bearing=this._map.transform.bearing+i.clamp(qt.amount,-179,179),Al(ft,qt)}if(J.pitch){var Ve=X(J.pitch,Ue,dc);ft.pitch=this._map.transform.pitch+Ve.amount,Al(ft,Ve)}if(ft.zoom||ft.bearing){var Qe=J.pinchAround===void 0?J.around:J.pinchAround;ft.around=Qe?this._map.unproject(Qe):this._map.getCenter()}return this.clear(),i.extend(ft,{noMoveStart:!0})}};function Al(Y,D){(!Y.duration||Y.duration<D.duration)&&(Y.duration=D.duration,Y.easing=D.easing)}function X(Y,D,J){var q=J.maxSpeed,K=J.linearity,de=J.deceleration,ne=i.clamp(Y*K/(D/1e3),-q,q),we=Math.abs(ne)/(de*K);return{easing:J.easing,duration:we*1e3,amount:ne*(we/2)}}var se=function(Y){function D(q,K,de,ne){ne===void 0&&(ne={});var we=o.mousePos(K.getCanvasContainer(),de),Ue=K.unproject(we);Y.call(this,q,i.extend({point:we,lngLat:Ue,originalEvent:de},ne)),this._defaultPrevented=!1,this.target=K}Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D;var J={defaultPrevented:{configurable:!0}};return D.prototype.preventDefault=function(){this._defaultPrevented=!0},J.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(D.prototype,J),D}(i.Event),Te=function(Y){function D(q,K,de){var ne=q===\"touchend\"?de.changedTouches:de.touches,we=o.touchPos(K.getCanvasContainer(),ne),Ue=we.map(function(hr){return K.unproject(hr)}),ft=we.reduce(function(hr,qt,Ve,Qe){return hr.add(qt.div(Qe.length))},new i.Point(0,0)),Xt=K.unproject(ft);Y.call(this,q,{points:we,point:ft,lngLats:Ue,lngLat:Xt,originalEvent:de}),this._defaultPrevented=!1}Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D;var J={defaultPrevented:{configurable:!0}};return D.prototype.preventDefault=function(){this._defaultPrevented=!0},J.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(D.prototype,J),D}(i.Event),Ne=function(Y){function D(q,K,de){Y.call(this,q,{originalEvent:de}),this._defaultPrevented=!1}Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D;var J={defaultPrevented:{configurable:!0}};return D.prototype.preventDefault=function(){this._defaultPrevented=!0},J.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(D.prototype,J),D}(i.Event),He=function(D,J){this._map=D,this._clickTolerance=J.clickTolerance};He.prototype.reset=function(){delete this._mousedownPos},He.prototype.wheel=function(D){return this._firePreventable(new Ne(D.type,this._map,D))},He.prototype.mousedown=function(D,J){return this._mousedownPos=J,this._firePreventable(new se(D.type,this._map,D))},He.prototype.mouseup=function(D){this._map.fire(new se(D.type,this._map,D))},He.prototype.click=function(D,J){this._mousedownPos&&this._mousedownPos.dist(J)>=this._clickTolerance||this._map.fire(new se(D.type,this._map,D))},He.prototype.dblclick=function(D){return this._firePreventable(new se(D.type,this._map,D))},He.prototype.mouseover=function(D){this._map.fire(new se(D.type,this._map,D))},He.prototype.mouseout=function(D){this._map.fire(new se(D.type,this._map,D))},He.prototype.touchstart=function(D){return this._firePreventable(new Te(D.type,this._map,D))},He.prototype.touchmove=function(D){this._map.fire(new Te(D.type,this._map,D))},He.prototype.touchend=function(D){this._map.fire(new Te(D.type,this._map,D))},He.prototype.touchcancel=function(D){this._map.fire(new Te(D.type,this._map,D))},He.prototype._firePreventable=function(D){if(this._map.fire(D),D.defaultPrevented)return{}},He.prototype.isEnabled=function(){return!0},He.prototype.isActive=function(){return!1},He.prototype.enable=function(){},He.prototype.disable=function(){};var Ye=function(D){this._map=D};Ye.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Ye.prototype.mousemove=function(D){this._map.fire(new se(D.type,this._map,D))},Ye.prototype.mousedown=function(){this._delayContextMenu=!0},Ye.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new se(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Ye.prototype.contextmenu=function(D){this._delayContextMenu?this._contextMenuEvent=D:this._map.fire(new se(D.type,this._map,D)),this._map.listens(\"contextmenu\")&&D.preventDefault()},Ye.prototype.isEnabled=function(){return!0},Ye.prototype.isActive=function(){return!1},Ye.prototype.enable=function(){},Ye.prototype.disable=function(){};var kt=function(D,J){this._map=D,this._el=D.getCanvasContainer(),this._container=D.getContainer(),this._clickTolerance=J.clickTolerance||1};kt.prototype.isEnabled=function(){return!!this._enabled},kt.prototype.isActive=function(){return!!this._active},kt.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},kt.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},kt.prototype.mousedown=function(D,J){this.isEnabled()&&D.shiftKey&&D.button===0&&(o.disableDrag(),this._startPos=this._lastPos=J,this._active=!0)},kt.prototype.mousemoveWindow=function(D,J){if(this._active){var q=J;if(!(this._lastPos.equals(q)||!this._box&&q.dist(this._startPos)<this._clickTolerance)){var K=this._startPos;this._lastPos=q,this._box||(this._box=o.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",D));var de=Math.min(K.x,q.x),ne=Math.max(K.x,q.x),we=Math.min(K.y,q.y),Ue=Math.max(K.y,q.y);o.setTransform(this._box,\"translate(\"+de+\"px,\"+we+\"px)\"),this._box.style.width=ne-de+\"px\",this._box.style.height=Ue-we+\"px\"}}},kt.prototype.mouseupWindow=function(D,J){var q=this;if(this._active&&D.button===0){var K=this._startPos,de=J;if(this.reset(),o.suppressClick(),K.x===de.x&&K.y===de.y)this._fireEvent(\"boxzoomcancel\",D);else return this._map.fire(new i.Event(\"boxzoomend\",{originalEvent:D})),{cameraAnimation:function(ne){return ne.fitScreenCoordinates(K,de,q._map.getBearing(),{linear:!0})}}}},kt.prototype.keydown=function(D){this._active&&D.keyCode===27&&(this.reset(),this._fireEvent(\"boxzoomcancel\",D))},kt.prototype.reset=function(){this._active=!1,this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(o.remove(this._box),this._box=null),o.enableDrag(),delete this._startPos,delete this._lastPos},kt.prototype._fireEvent=function(D,J){return this._map.fire(new i.Event(D,{originalEvent:J}))};function nt(Y,D){for(var J={},q=0;q<Y.length;q++)J[Y[q].identifier]=D[q];return J}function jt(Y){for(var D=new i.Point(0,0),J=0,q=Y;J<q.length;J+=1){var K=q[J];D._add(K)}return D.div(Y.length)}var gr=500,yr=500,Hr=30,qr=function(D){this.reset(),this.numTouches=D.numTouches};qr.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},qr.prototype.touchstart=function(D,J,q){(this.centroid||q.length>this.numTouches)&&(this.aborted=!0),!this.aborted&&(this.startTime===void 0&&(this.startTime=D.timeStamp),q.length===this.numTouches&&(this.centroid=jt(J),this.touches=nt(q,J)))},qr.prototype.touchmove=function(D,J,q){if(!(this.aborted||!this.centroid)){var K=nt(q,J);for(var de in this.touches){var ne=this.touches[de],we=K[de];(!we||we.dist(ne)>Hr)&&(this.aborted=!0)}}},qr.prototype.touchend=function(D,J,q){if((!this.centroid||D.timeStamp-this.startTime>yr)&&(this.aborted=!0),q.length===0){var K=!this.aborted&&this.centroid;if(this.reset(),K)return K}};var _i=function(D){this.singleTap=new qr(D),this.numTaps=D.numTaps,this.reset()};_i.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},_i.prototype.touchstart=function(D,J,q){this.singleTap.touchstart(D,J,q)},_i.prototype.touchmove=function(D,J,q){this.singleTap.touchmove(D,J,q)},_i.prototype.touchend=function(D,J,q){var K=this.singleTap.touchend(D,J,q);if(K){var de=D.timeStamp-this.lastTime<gr,ne=!this.lastTap||this.lastTap.dist(K)<Hr;if((!de||!ne)&&this.reset(),this.count++,this.lastTime=D.timeStamp,this.lastTap=K,this.count===this.numTaps)return this.reset(),K}};var bi=function(){this._zoomIn=new _i({numTouches:1,numTaps:2}),this._zoomOut=new _i({numTouches:2,numTaps:1}),this.reset()};bi.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},bi.prototype.touchstart=function(D,J,q){this._zoomIn.touchstart(D,J,q),this._zoomOut.touchstart(D,J,q)},bi.prototype.touchmove=function(D,J,q){this._zoomIn.touchmove(D,J,q),this._zoomOut.touchmove(D,J,q)},bi.prototype.touchend=function(D,J,q){var K=this,de=this._zoomIn.touchend(D,J,q),ne=this._zoomOut.touchend(D,J,q);if(de)return this._active=!0,D.preventDefault(),setTimeout(function(){return K.reset()},0),{cameraAnimation:function(we){return we.easeTo({duration:300,zoom:we.getZoom()+1,around:we.unproject(de)},{originalEvent:D})}};if(ne)return this._active=!0,D.preventDefault(),setTimeout(function(){return K.reset()},0),{cameraAnimation:function(we){return we.easeTo({duration:300,zoom:we.getZoom()-1,around:we.unproject(ne)},{originalEvent:D})}}},bi.prototype.touchcancel=function(){this.reset()},bi.prototype.enable=function(){this._enabled=!0},bi.prototype.disable=function(){this._enabled=!1,this.reset()},bi.prototype.isEnabled=function(){return this._enabled},bi.prototype.isActive=function(){return this._active};var Zr=0,ai=2,gi={};gi[Zr]=1,gi[ai]=2;function Ii(Y,D){var J=gi[D];return Y.buttons===void 0||(Y.buttons&J)!==J}var Si=function(D){this.reset(),this._clickTolerance=D.clickTolerance||1};Si.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Si.prototype._correctButton=function(D,J){return!1},Si.prototype._move=function(D,J){return{}},Si.prototype.mousedown=function(D,J){if(!this._lastPoint){var q=o.mouseButton(D);this._correctButton(D,q)&&(this._lastPoint=J,this._eventButton=q)}},Si.prototype.mousemoveWindow=function(D,J){var q=this._lastPoint;if(q){if(D.preventDefault(),Ii(D,this._eventButton)){this.reset();return}if(!(!this._moved&&J.dist(q)<this._clickTolerance))return this._moved=!0,this._lastPoint=J,this._move(q,J)}},Si.prototype.mouseupWindow=function(D){if(this._lastPoint){var J=o.mouseButton(D);J===this._eventButton&&(this._moved&&o.suppressClick(),this.reset())}},Si.prototype.enable=function(){this._enabled=!0},Si.prototype.disable=function(){this._enabled=!1,this.reset()},Si.prototype.isEnabled=function(){return this._enabled},Si.prototype.isActive=function(){return this._active};var ei=function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.mousedown=function(q,K){Y.prototype.mousedown.call(this,q,K),this._lastPoint&&(this._active=!0)},D.prototype._correctButton=function(q,K){return K===Zr&&!q.ctrlKey},D.prototype._move=function(q,K){return{around:K,panDelta:K.sub(q)}},D}(Si),Ln=function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype._correctButton=function(q,K){return K===Zr&&q.ctrlKey||K===ai},D.prototype._move=function(q,K){var de=.8,ne=(K.x-q.x)*de;if(ne)return this._active=!0,{bearingDelta:ne}},D.prototype.contextmenu=function(q){q.preventDefault()},D}(Si),En=function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype._correctButton=function(q,K){return K===Zr&&q.ctrlKey||K===ai},D.prototype._move=function(q,K){var de=-.5,ne=(K.y-q.y)*de;if(ne)return this._active=!0,{pitchDelta:ne}},D.prototype.contextmenu=function(q){q.preventDefault()},D}(Si),Un=function(D){this._minTouches=1,this._clickTolerance=D.clickTolerance||1,this.reset()};Un.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new i.Point(0,0)},Un.prototype.touchstart=function(D,J,q){return this._calculateTransform(D,J,q)},Un.prototype.touchmove=function(D,J,q){if(!(!this._active||q.length<this._minTouches))return D.preventDefault(),this._calculateTransform(D,J,q)},Un.prototype.touchend=function(D,J,q){this._calculateTransform(D,J,q),this._active&&q.length<this._minTouches&&this.reset()},Un.prototype.touchcancel=function(){this.reset()},Un.prototype._calculateTransform=function(D,J,q){q.length>0&&(this._active=!0);var K=nt(q,J),de=new i.Point(0,0),ne=new i.Point(0,0),we=0;for(var Ue in K){var ft=K[Ue],Xt=this._touches[Ue];Xt&&(de._add(ft),ne._add(ft.sub(Xt)),we++,K[Ue]=ft)}if(this._touches=K,!(we<this._minTouches||!ne.mag())){var hr=ne.div(we);if(this._sum._add(hr),!(this._sum.mag()<this._clickTolerance)){var qt=de.div(we);return{around:qt,panDelta:hr}}}},Un.prototype.enable=function(){this._enabled=!0},Un.prototype.disable=function(){this._enabled=!1,this.reset()},Un.prototype.isEnabled=function(){return this._enabled},Un.prototype.isActive=function(){return this._active};var ia=function(){this.reset()};ia.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},ia.prototype._start=function(D){},ia.prototype._move=function(D,J,q){return{}},ia.prototype.touchstart=function(D,J,q){this._firstTwoTouches||q.length<2||(this._firstTwoTouches=[q[0].identifier,q[1].identifier],this._start([J[0],J[1]]))},ia.prototype.touchmove=function(D,J,q){if(this._firstTwoTouches){D.preventDefault();var K=this._firstTwoTouches,de=K[0],ne=K[1],we=Ea(q,J,de),Ue=Ea(q,J,ne);if(!(!we||!Ue)){var ft=this._aroundCenter?null:we.add(Ue).div(2);return this._move([we,Ue],ft,D)}}},ia.prototype.touchend=function(D,J,q){if(this._firstTwoTouches){var K=this._firstTwoTouches,de=K[0],ne=K[1],we=Ea(q,J,de),Ue=Ea(q,J,ne);we&&Ue||(this._active&&o.suppressClick(),this.reset())}},ia.prototype.touchcancel=function(){this.reset()},ia.prototype.enable=function(D){this._enabled=!0,this._aroundCenter=!!D&&D.around===\"center\"},ia.prototype.disable=function(){this._enabled=!1,this.reset()},ia.prototype.isEnabled=function(){return this._enabled},ia.prototype.isActive=function(){return this._active};function Ea(Y,D,J){for(var q=0;q<Y.length;q++)if(Y[q].identifier===J)return D[q]}var Ia=.1;function yo(Y,D){return Math.log(Y/D)/Math.LN2}var Da=function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.reset=function(){Y.prototype.reset.call(this),delete this._distance,delete this._startDistance},D.prototype._start=function(q){this._startDistance=this._distance=q[0].dist(q[1])},D.prototype._move=function(q,K){var de=this._distance;if(this._distance=q[0].dist(q[1]),!(!this._active&&Math.abs(yo(this._distance,this._startDistance))<Ia))return this._active=!0,{zoomDelta:yo(this._distance,de),pinchAround:K}},D}(ia),go=25;function Is(Y,D){return Y.angleWith(D)*180/Math.PI}var Ms=function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.reset=function(){Y.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},D.prototype._start=function(q){this._startVector=this._vector=q[0].sub(q[1]),this._minDiameter=q[0].dist(q[1])},D.prototype._move=function(q,K){var de=this._vector;if(this._vector=q[0].sub(q[1]),!(!this._active&&this._isBelowThreshold(this._vector)))return this._active=!0,{bearingDelta:Is(this._vector,de),pinchAround:K}},D.prototype._isBelowThreshold=function(q){this._minDiameter=Math.min(this._minDiameter,q.mag());var K=Math.PI*this._minDiameter,de=go/K*360,ne=Is(q,this._startVector);return Math.abs(ne)<de},D}(ia);function Xs(Y){return Math.abs(Y.y)>Math.abs(Y.x)}var Gn=100,ja=function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.reset=function(){Y.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},D.prototype._start=function(q){this._lastPoints=q,Xs(q[0].sub(q[1]))&&(this._valid=!1)},D.prototype._move=function(q,K,de){var ne=q[0].sub(this._lastPoints[0]),we=q[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(ne,we,de.timeStamp),!!this._valid){this._lastPoints=q,this._active=!0;var Ue=(ne.y+we.y)/2,ft=-.5;return{pitchDelta:Ue*ft}}},D.prototype.gestureBeginsVertically=function(q,K,de){if(this._valid!==void 0)return this._valid;var ne=2,we=q.mag()>=ne,Ue=K.mag()>=ne;if(!(!we&&!Ue)){if(!we||!Ue)return this._firstMove===void 0&&(this._firstMove=de),de-this._firstMove<Gn?void 0:!1;var ft=q.y>0==K.y>0;return Xs(q)&&Xs(K)&&ft}},D}(ia),Fo={panStep:100,bearingStep:15,pitchStep:10},Uo=function(){var D=Fo;this._panStep=D.panStep,this._bearingStep=D.bearingStep,this._pitchStep=D.pitchStep,this._rotationDisabled=!1};Uo.prototype.reset=function(){this._active=!1},Uo.prototype.keydown=function(D){var J=this;if(!(D.altKey||D.ctrlKey||D.metaKey)){var q=0,K=0,de=0,ne=0,we=0;switch(D.keyCode){case 61:case 107:case 171:case 187:q=1;break;case 189:case 109:case 173:q=-1;break;case 37:D.shiftKey?K=-1:(D.preventDefault(),ne=-1);break;case 39:D.shiftKey?K=1:(D.preventDefault(),ne=1);break;case 38:D.shiftKey?de=1:(D.preventDefault(),we=-1);break;case 40:D.shiftKey?de=-1:(D.preventDefault(),we=1);break;default:return}return this._rotationDisabled&&(K=0,de=0),{cameraAnimation:function(Ue){var ft=Ue.getZoom();Ue.easeTo({duration:300,easeId:\"keyboardHandler\",easing:$s,zoom:q?Math.round(ft)+q*(D.shiftKey?2:1):ft,bearing:Ue.getBearing()+K*J._bearingStep,pitch:Ue.getPitch()+de*J._pitchStep,offset:[-ne*J._panStep,-we*J._panStep],center:Ue.getCenter()},{originalEvent:D})}}}},Uo.prototype.enable=function(){this._enabled=!0},Uo.prototype.disable=function(){this._enabled=!1,this.reset()},Uo.prototype.isEnabled=function(){return this._enabled},Uo.prototype.isActive=function(){return this._active},Uo.prototype.disableRotation=function(){this._rotationDisabled=!0},Uo.prototype.enableRotation=function(){this._rotationDisabled=!1};function $s(Y){return Y*(2-Y)}var Sl=4.000244140625,bu=1/100,dl=1/450,Sc=2,Me=function(D,J){this._map=D,this._el=D.getCanvasContainer(),this._handler=J,this._delta=0,this._defaultZoomRate=bu,this._wheelZoomRate=dl,i.bindAll([\"_onTimeout\"],this)};Me.prototype.setZoomRate=function(D){this._defaultZoomRate=D},Me.prototype.setWheelZoomRate=function(D){this._wheelZoomRate=D},Me.prototype.isEnabled=function(){return!!this._enabled},Me.prototype.isActive=function(){return!!this._active||this._finishTimeout!==void 0},Me.prototype.isZooming=function(){return!!this._zooming},Me.prototype.enable=function(D){this.isEnabled()||(this._enabled=!0,this._aroundCenter=D&&D.around===\"center\")},Me.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Me.prototype.wheel=function(D){if(this.isEnabled()){var J=D.deltaMode===i.window.WheelEvent.DOM_DELTA_LINE?D.deltaY*40:D.deltaY,q=i.browser.now(),K=q-(this._lastWheelEventTime||0);this._lastWheelEventTime=q,J!==0&&J%Sl===0?this._type=\"wheel\":J!==0&&Math.abs(J)<4?this._type=\"trackpad\":K>400?(this._type=null,this._lastValue=J,this._timeout=setTimeout(this._onTimeout,40,D)):this._type||(this._type=Math.abs(K*J)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,J+=this._lastValue)),D.shiftKey&&J&&(J=J/4),this._type&&(this._lastWheelEvent=D,this._delta-=J,this._active||this._start(D)),D.preventDefault()}},Me.prototype._onTimeout=function(D){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(D)},Me.prototype._start=function(D){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 J=o.mousePos(this._el,D);this._around=i.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(J)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},Me.prototype.renderFrame=function(){var D=this;if(this._frameId&&(this._frameId=null,!!this.isActive())){var J=this._map.transform;if(this._delta!==0){var q=this._type===\"wheel\"&&Math.abs(this._delta)>Sl?this._wheelZoomRate:this._defaultZoomRate,K=Sc/(1+Math.exp(-Math.abs(this._delta*q)));this._delta<0&&K!==0&&(K=1/K);var de=typeof this._targetZoom==\"number\"?J.zoomScale(this._targetZoom):J.scale;this._targetZoom=Math.min(J.maxZoom,Math.max(J.minZoom,J.scaleZoom(de*K))),this._type===\"wheel\"&&(this._startZoom=J.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var ne=typeof this._targetZoom==\"number\"?this._targetZoom:J.zoom,we=this._startZoom,Ue=this._easing,ft=!1,Xt;if(this._type===\"wheel\"&&we&&Ue){var hr=Math.min((i.browser.now()-this._lastWheelEventTime)/200,1),qt=Ue(hr);Xt=i.number(we,ne,qt),hr<1?this._frameId||(this._frameId=!0):ft=!0}else Xt=ne,ft=!0;return this._active=!0,ft&&(this._active=!1,this._finishTimeout=setTimeout(function(){D._zooming=!1,D._handler._triggerRenderFrame(),delete D._targetZoom,delete D._finishTimeout},200)),{noInertia:!0,needsRenderFrame:!ft,zoomDelta:Xt-J.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},Me.prototype._smoothOutEasing=function(D){var J=i.ease;if(this._prevEase){var q=this._prevEase,K=(i.browser.now()-q.start)/q.duration,de=q.easing(K+.01)-q.easing(K),ne=.27/Math.sqrt(de*de+1e-4)*.01,we=Math.sqrt(.27*.27-ne*ne);J=i.bezier(ne,we,.25,1)}return this._prevEase={start:i.browser.now(),duration:D,easing:J},J},Me.prototype.reset=function(){this._active=!1};var bt=function(D,J){this._clickZoom=D,this._tapZoom=J};bt.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},bt.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},bt.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},bt.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var zt=function(){this.reset()};zt.prototype.reset=function(){this._active=!1},zt.prototype.dblclick=function(D,J){return D.preventDefault(),{cameraAnimation:function(q){q.easeTo({duration:300,zoom:q.getZoom()+(D.shiftKey?-1:1),around:q.unproject(J)},{originalEvent:D})}}},zt.prototype.enable=function(){this._enabled=!0},zt.prototype.disable=function(){this._enabled=!1,this.reset()},zt.prototype.isEnabled=function(){return this._enabled},zt.prototype.isActive=function(){return this._active};var Rr=function(){this._tap=new _i({numTouches:1,numTaps:1}),this.reset()};Rr.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},Rr.prototype.touchstart=function(D,J,q){this._swipePoint||(this._tapTime&&D.timeStamp-this._tapTime>gr&&this.reset(),this._tapTime?q.length>0&&(this._swipePoint=J[0],this._swipeTouch=q[0].identifier):this._tap.touchstart(D,J,q))},Rr.prototype.touchmove=function(D,J,q){if(!this._tapTime)this._tap.touchmove(D,J,q);else if(this._swipePoint){if(q[0].identifier!==this._swipeTouch)return;var K=J[0],de=K.y-this._swipePoint.y;return this._swipePoint=K,D.preventDefault(),this._active=!0,{zoomDelta:de/128}}},Rr.prototype.touchend=function(D,J,q){if(this._tapTime)this._swipePoint&&q.length===0&&this.reset();else{var K=this._tap.touchend(D,J,q);K&&(this._tapTime=D.timeStamp)}},Rr.prototype.touchcancel=function(){this.reset()},Rr.prototype.enable=function(){this._enabled=!0},Rr.prototype.disable=function(){this._enabled=!1,this.reset()},Rr.prototype.isEnabled=function(){return this._enabled},Rr.prototype.isActive=function(){return this._active};var jr=function(D,J,q){this._el=D,this._mousePan=J,this._touchPan=q};jr.prototype.enable=function(D){this._inertiaOptions=D||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},jr.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},jr.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},jr.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var Nr=function(D,J,q){this._pitchWithRotate=D.pitchWithRotate,this._mouseRotate=J,this._mousePitch=q};Nr.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},Nr.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},Nr.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},Nr.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var Gr=function(D,J,q,K){this._el=D,this._touchZoom=J,this._touchRotate=q,this._tapDragZoom=K,this._rotationDisabled=!1,this._enabled=!0};Gr.prototype.enable=function(D){this._touchZoom.enable(D),this._rotationDisabled||this._touchRotate.enable(D),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},Gr.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},Gr.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},Gr.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},Gr.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},Gr.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var mi=function(Y){return Y.zoom||Y.drag||Y.pitch||Y.rotate},Ui=function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D}(i.Event);function qi(Y){return Y.panDelta&&Y.panDelta.mag()||Y.zoomDelta||Y.bearingDelta||Y.pitchDelta}var Ei=function(D,J){this._map=D,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Tl(D),this._bearingSnap=J.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(J),i.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var q=this._el;this._listeners=[[q,\"touchstart\",{passive:!0}],[q,\"touchmove\",{passive:!1}],[q,\"touchend\",void 0],[q,\"touchcancel\",void 0],[q,\"mousedown\",void 0],[q,\"mousemove\",void 0],[q,\"mouseup\",void 0],[i.window.document,\"mousemove\",{capture:!0}],[i.window.document,\"mouseup\",void 0],[q,\"mouseover\",void 0],[q,\"mouseout\",void 0],[q,\"dblclick\",void 0],[q,\"click\",void 0],[q,\"keydown\",{capture:!1}],[q,\"keyup\",void 0],[q,\"wheel\",{passive:!1}],[q,\"contextmenu\",void 0],[i.window,\"blur\",void 0]];for(var K=0,de=this._listeners;K<de.length;K+=1){var ne=de[K],we=ne[0],Ue=ne[1],ft=ne[2];o.addEventListener(we,Ue,we===i.window.document?this.handleWindowEvent:this.handleEvent,ft)}};Ei.prototype.destroy=function(){for(var D=0,J=this._listeners;D<J.length;D+=1){var q=J[D],K=q[0],de=q[1],ne=q[2];o.removeEventListener(K,de,K===i.window.document?this.handleWindowEvent:this.handleEvent,ne)}},Ei.prototype._addDefaultHandlers=function(D){var J=this._map,q=J.getCanvasContainer();this._add(\"mapEvent\",new He(J,D));var K=J.boxZoom=new kt(J,D);this._add(\"boxZoom\",K);var de=new bi,ne=new zt;J.doubleClickZoom=new bt(ne,de),this._add(\"tapZoom\",de),this._add(\"clickZoom\",ne);var we=new Rr;this._add(\"tapDragZoom\",we);var Ue=J.touchPitch=new ja;this._add(\"touchPitch\",Ue);var ft=new Ln(D),Xt=new En(D);J.dragRotate=new Nr(D,ft,Xt),this._add(\"mouseRotate\",ft,[\"mousePitch\"]),this._add(\"mousePitch\",Xt,[\"mouseRotate\"]);var hr=new ei(D),qt=new Un(D);J.dragPan=new jr(q,hr,qt),this._add(\"mousePan\",hr),this._add(\"touchPan\",qt,[\"touchZoom\",\"touchRotate\"]);var Ve=new Ms,Qe=new Da;J.touchZoomRotate=new Gr(q,Qe,Ve,we),this._add(\"touchRotate\",Ve,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",Qe,[\"touchPan\",\"touchRotate\"]);var at=J.scrollZoom=new Me(J,this);this._add(\"scrollZoom\",at,[\"mousePan\"]);var Ct=J.keyboard=new Uo;this._add(\"keyboard\",Ct),this._add(\"blockableMapEvent\",new Ye(J));for(var Ot=0,Rt=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];Ot<Rt.length;Ot+=1){var Bt=Rt[Ot];D.interactive&&D[Bt]&&J[Bt].enable(D[Bt])}},Ei.prototype._add=function(D,J,q){this._handlers.push({handlerName:D,handler:J,allowed:q}),this._handlersById[D]=J},Ei.prototype.stop=function(D){if(!this._updatingCamera){for(var J=0,q=this._handlers;J<q.length;J+=1){var K=q[J],de=K.handler;de.reset()}this._inertia.clear(),this._fireEvents({},{},D),this._changes=[]}},Ei.prototype.isActive=function(){for(var D=0,J=this._handlers;D<J.length;D+=1){var q=J[D],K=q.handler;if(K.isActive())return!0}return!1},Ei.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},Ei.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},Ei.prototype.isMoving=function(){return!!mi(this._eventsInProgress)||this.isZooming()},Ei.prototype._blockedByActive=function(D,J,q){for(var K in D)if(K!==q&&(!J||J.indexOf(K)<0))return!0;return!1},Ei.prototype.handleWindowEvent=function(D){this.handleEvent(D,D.type+\"Window\")},Ei.prototype._getMapTouches=function(D){for(var J=[],q=0,K=D;q<K.length;q+=1){var de=K[q],ne=de.target;this._el.contains(ne)&&J.push(de)}return J},Ei.prototype.handleEvent=function(D,J){if(D.type===\"blur\"){this.stop(!0);return}this._updatingCamera=!0;for(var q=D.type===\"renderFrame\"?void 0:D,K={needsRenderFrame:!1},de={},ne={},we=D.touches?this._getMapTouches(D.touches):void 0,Ue=we?o.touchPos(this._el,we):o.mousePos(this._el,D),ft=0,Xt=this._handlers;ft<Xt.length;ft+=1){var hr=Xt[ft],qt=hr.handlerName,Ve=hr.handler,Qe=hr.allowed;if(Ve.isEnabled()){var at=void 0;this._blockedByActive(ne,Qe,qt)?Ve.reset():Ve[J||D.type]&&(at=Ve[J||D.type](D,Ue,we),this.mergeHandlerResult(K,de,at,qt,q),at&&at.needsRenderFrame&&this._triggerRenderFrame()),(at||Ve.isActive())&&(ne[qt]=Ve)}}var Ct={};for(var Ot in this._previousActiveHandlers)ne[Ot]||(Ct[Ot]=q);this._previousActiveHandlers=ne,(Object.keys(Ct).length||qi(K))&&(this._changes.push([K,de,Ct]),this._triggerRenderFrame()),(Object.keys(ne).length||qi(K))&&this._map._stop(!0),this._updatingCamera=!1;var Rt=K.cameraAnimation;Rt&&(this._inertia.clear(),this._fireEvents({},{},!0),this._changes=[],Rt(this._map))},Ei.prototype.mergeHandlerResult=function(D,J,q,K,de){if(q){i.extend(D,q);var ne={handlerName:K,originalEvent:q.originalEvent||de};q.zoomDelta!==void 0&&(J.zoom=ne),q.panDelta!==void 0&&(J.drag=ne),q.pitchDelta!==void 0&&(J.pitch=ne),q.bearingDelta!==void 0&&(J.rotate=ne)}},Ei.prototype._applyChanges=function(){for(var D={},J={},q={},K=0,de=this._changes;K<de.length;K+=1){var ne=de[K],we=ne[0],Ue=ne[1],ft=ne[2];we.panDelta&&(D.panDelta=(D.panDelta||new i.Point(0,0))._add(we.panDelta)),we.zoomDelta&&(D.zoomDelta=(D.zoomDelta||0)+we.zoomDelta),we.bearingDelta&&(D.bearingDelta=(D.bearingDelta||0)+we.bearingDelta),we.pitchDelta&&(D.pitchDelta=(D.pitchDelta||0)+we.pitchDelta),we.around!==void 0&&(D.around=we.around),we.pinchAround!==void 0&&(D.pinchAround=we.pinchAround),we.noInertia&&(D.noInertia=we.noInertia),i.extend(J,Ue),i.extend(q,ft)}this._updateMapTransform(D,J,q),this._changes=[]},Ei.prototype._updateMapTransform=function(D,J,q){var K=this._map,de=K.transform;if(!qi(D))return this._fireEvents(J,q,!0);var ne=D.panDelta,we=D.zoomDelta,Ue=D.bearingDelta,ft=D.pitchDelta,Xt=D.around,hr=D.pinchAround;hr!==void 0&&(Xt=hr),K._stop(!0),Xt=Xt||K.transform.centerPoint;var qt=de.pointLocation(ne?Xt.sub(ne):Xt);Ue&&(de.bearing+=Ue),ft&&(de.pitch+=ft),we&&(de.zoom+=we),de.setLocationAtPoint(qt,Xt),this._map._update(),D.noInertia||this._inertia.record(D),this._fireEvents(J,q,!0)},Ei.prototype._fireEvents=function(D,J,q){var K=this,de=mi(this._eventsInProgress),ne=mi(D),we={};for(var Ue in D){var ft=D[Ue],Xt=ft.originalEvent;this._eventsInProgress[Ue]||(we[Ue+\"start\"]=Xt),this._eventsInProgress[Ue]=D[Ue]}!de&&ne&&this._fireEvent(\"movestart\",ne.originalEvent);for(var hr in we)this._fireEvent(hr,we[hr]);ne&&this._fireEvent(\"move\",ne.originalEvent);for(var qt in D){var Ve=D[qt],Qe=Ve.originalEvent;this._fireEvent(qt,Qe)}var at={},Ct;for(var Ot in this._eventsInProgress){var Rt=this._eventsInProgress[Ot],Bt=Rt.handlerName,Dt=Rt.originalEvent;this._handlersById[Bt].isActive()||(delete this._eventsInProgress[Ot],Ct=J[Bt]||Dt,at[Ot+\"end\"]=Ct)}for(var yt in at)this._fireEvent(yt,at[yt]);var Pt=mi(this._eventsInProgress);if(q&&(de||ne)&&!Pt){this._updatingCamera=!0;var ht=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),ur=function(br){return br!==0&&-K._bearingSnap<br&&br<K._bearingSnap};ht?(ur(ht.bearing||this._map.getBearing())&&(ht.bearing=0),this._map.easeTo(ht,{originalEvent:Ct})):(this._map.fire(new i.Event(\"moveend\",{originalEvent:Ct})),ur(this._map.getBearing())&&this._map.resetNorth()),this._updatingCamera=!1}},Ei.prototype._fireEvent=function(D,J){this._map.fire(new i.Event(D,J?{originalEvent:J}:{}))},Ei.prototype._requestFrame=function(){var D=this;return this._map.triggerRepaint(),this._map._renderTaskQueue.add(function(J){delete D._frameId,D.handleEvent(new Ui(\"renderFrame\",{timeStamp:J})),D._applyChanges()})},Ei.prototype._triggerRenderFrame=function(){this._frameId===void 0&&(this._frameId=this._requestFrame())};var Hn=function(Y){function D(J,q){Y.call(this),this._moving=!1,this._zooming=!1,this.transform=J,this._bearingSnap=q.bearingSnap,i.bindAll([\"_renderFrameCallback\"],this)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.getCenter=function(){return new i.LngLat(this.transform.center.lng,this.transform.center.lat)},D.prototype.setCenter=function(q,K){return this.jumpTo({center:q},K)},D.prototype.panBy=function(q,K,de){return q=i.Point.convert(q).mult(-1),this.panTo(this.transform.center,i.extend({offset:q},K),de)},D.prototype.panTo=function(q,K,de){return this.easeTo(i.extend({center:q},K),de)},D.prototype.getZoom=function(){return this.transform.zoom},D.prototype.setZoom=function(q,K){return this.jumpTo({zoom:q},K),this},D.prototype.zoomTo=function(q,K,de){return this.easeTo(i.extend({zoom:q},K),de)},D.prototype.zoomIn=function(q,K){return this.zoomTo(this.getZoom()+1,q,K),this},D.prototype.zoomOut=function(q,K){return this.zoomTo(this.getZoom()-1,q,K),this},D.prototype.getBearing=function(){return this.transform.bearing},D.prototype.setBearing=function(q,K){return this.jumpTo({bearing:q},K),this},D.prototype.getPadding=function(){return this.transform.padding},D.prototype.setPadding=function(q,K){return this.jumpTo({padding:q},K),this},D.prototype.rotateTo=function(q,K,de){return this.easeTo(i.extend({bearing:q},K),de)},D.prototype.resetNorth=function(q,K){return this.rotateTo(0,i.extend({duration:1e3},q),K),this},D.prototype.resetNorthPitch=function(q,K){return this.easeTo(i.extend({bearing:0,pitch:0,duration:1e3},q),K),this},D.prototype.snapToNorth=function(q,K){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(q,K):this},D.prototype.getPitch=function(){return this.transform.pitch},D.prototype.setPitch=function(q,K){return this.jumpTo({pitch:q},K),this},D.prototype.cameraForBounds=function(q,K){q=i.LngLatBounds.convert(q);var de=K&&K.bearing||0;return this._cameraForBoxAndBearing(q.getNorthWest(),q.getSouthEast(),de,K)},D.prototype._cameraForBoxAndBearing=function(q,K,de,ne){var we={top:0,bottom:0,right:0,left:0};if(ne=i.extend({padding:we,offset:[0,0],maxZoom:this.transform.maxZoom},ne),typeof ne.padding==\"number\"){var Ue=ne.padding;ne.padding={top:Ue,bottom:Ue,right:Ue,left:Ue}}ne.padding=i.extend(we,ne.padding);var ft=this.transform,Xt=ft.padding,hr=ft.project(i.LngLat.convert(q)),qt=ft.project(i.LngLat.convert(K)),Ve=hr.rotate(-de*Math.PI/180),Qe=qt.rotate(-de*Math.PI/180),at=new i.Point(Math.max(Ve.x,Qe.x),Math.max(Ve.y,Qe.y)),Ct=new i.Point(Math.min(Ve.x,Qe.x),Math.min(Ve.y,Qe.y)),Ot=at.sub(Ct),Rt=(ft.width-(Xt.left+Xt.right+ne.padding.left+ne.padding.right))/Ot.x,Bt=(ft.height-(Xt.top+Xt.bottom+ne.padding.top+ne.padding.bottom))/Ot.y;if(Bt<0||Rt<0){i.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\");return}var Dt=Math.min(ft.scaleZoom(ft.scale*Math.min(Rt,Bt)),ne.maxZoom),yt=typeof ne.offset.x==\"number\"?new i.Point(ne.offset.x,ne.offset.y):i.Point.convert(ne.offset),Pt=(ne.padding.left-ne.padding.right)/2,ht=(ne.padding.top-ne.padding.bottom)/2,ur=new i.Point(Pt,ht),br=ur.rotate(de*Math.PI/180),Ur=yt.add(br),Di=Ur.mult(ft.scale/ft.zoomScale(Dt)),fi=ft.unproject(hr.add(qt).div(2).sub(Di));return{center:fi,zoom:Dt,bearing:de}},D.prototype.fitBounds=function(q,K,de){return this._fitInternal(this.cameraForBounds(q,K),K,de)},D.prototype.fitScreenCoordinates=function(q,K,de,ne,we){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(i.Point.convert(q)),this.transform.pointLocation(i.Point.convert(K)),de,ne),ne,we)},D.prototype._fitInternal=function(q,K,de){return q?(K=i.extend(q,K),delete K.padding,K.linear?this.easeTo(K,de):this.flyTo(K,de)):this},D.prototype.jumpTo=function(q,K){this.stop();var de=this.transform,ne=!1,we=!1,Ue=!1;return\"zoom\"in q&&de.zoom!==+q.zoom&&(ne=!0,de.zoom=+q.zoom),q.center!==void 0&&(de.center=i.LngLat.convert(q.center)),\"bearing\"in q&&de.bearing!==+q.bearing&&(we=!0,de.bearing=+q.bearing),\"pitch\"in q&&de.pitch!==+q.pitch&&(Ue=!0,de.pitch=+q.pitch),q.padding!=null&&!de.isPaddingEqual(q.padding)&&(de.padding=q.padding),this.fire(new i.Event(\"movestart\",K)).fire(new i.Event(\"move\",K)),ne&&this.fire(new i.Event(\"zoomstart\",K)).fire(new i.Event(\"zoom\",K)).fire(new i.Event(\"zoomend\",K)),we&&this.fire(new i.Event(\"rotatestart\",K)).fire(new i.Event(\"rotate\",K)).fire(new i.Event(\"rotateend\",K)),Ue&&this.fire(new i.Event(\"pitchstart\",K)).fire(new i.Event(\"pitch\",K)).fire(new i.Event(\"pitchend\",K)),this.fire(new i.Event(\"moveend\",K))},D.prototype.easeTo=function(q,K){var de=this;this._stop(!1,q.easeId),q=i.extend({offset:[0,0],duration:500,easing:i.ease},q),(q.animate===!1||!q.essential&&i.browser.prefersReducedMotion)&&(q.duration=0);var ne=this.transform,we=this.getZoom(),Ue=this.getBearing(),ft=this.getPitch(),Xt=this.getPadding(),hr=\"zoom\"in q?+q.zoom:we,qt=\"bearing\"in q?this._normalizeBearing(q.bearing,Ue):Ue,Ve=\"pitch\"in q?+q.pitch:ft,Qe=\"padding\"in q?q.padding:ne.padding,at=i.Point.convert(q.offset),Ct=ne.centerPoint.add(at),Ot=ne.pointLocation(Ct),Rt=i.LngLat.convert(q.center||Ot);this._normalizeCenter(Rt);var Bt=ne.project(Ot),Dt=ne.project(Rt).sub(Bt),yt=ne.zoomScale(hr-we),Pt,ht;q.around&&(Pt=i.LngLat.convert(q.around),ht=ne.locationPoint(Pt));var ur={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||hr!==we,this._rotating=this._rotating||Ue!==qt,this._pitching=this._pitching||Ve!==ft,this._padding=!ne.isPaddingEqual(Qe),this._easeId=q.easeId,this._prepareEase(K,q.noMoveStart,ur),this._ease(function(br){if(de._zooming&&(ne.zoom=i.number(we,hr,br)),de._rotating&&(ne.bearing=i.number(Ue,qt,br)),de._pitching&&(ne.pitch=i.number(ft,Ve,br)),de._padding&&(ne.interpolatePadding(Xt,Qe,br),Ct=ne.centerPoint.add(at)),Pt)ne.setLocationAtPoint(Pt,ht);else{var Ur=ne.zoomScale(ne.zoom-we),Di=hr>we?Math.min(2,yt):Math.max(.5,yt),fi=Math.pow(Di,1-br),Ti=ne.unproject(Bt.add(Dt.mult(br*fi)).mult(Ur));ne.setLocationAtPoint(ne.renderWorldCopies?Ti.wrap():Ti,Ct)}de._fireMoveEvents(K)},function(br){de._afterEase(K,br)},q),this},D.prototype._prepareEase=function(q,K,de){de===void 0&&(de={}),this._moving=!0,!K&&!de.moving&&this.fire(new i.Event(\"movestart\",q)),this._zooming&&!de.zooming&&this.fire(new i.Event(\"zoomstart\",q)),this._rotating&&!de.rotating&&this.fire(new i.Event(\"rotatestart\",q)),this._pitching&&!de.pitching&&this.fire(new i.Event(\"pitchstart\",q))},D.prototype._fireMoveEvents=function(q){this.fire(new i.Event(\"move\",q)),this._zooming&&this.fire(new i.Event(\"zoom\",q)),this._rotating&&this.fire(new i.Event(\"rotate\",q)),this._pitching&&this.fire(new i.Event(\"pitch\",q))},D.prototype._afterEase=function(q,K){if(!(this._easeId&&K&&this._easeId===K)){delete this._easeId;var de=this._zooming,ne=this._rotating,we=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,de&&this.fire(new i.Event(\"zoomend\",q)),ne&&this.fire(new i.Event(\"rotateend\",q)),we&&this.fire(new i.Event(\"pitchend\",q)),this.fire(new i.Event(\"moveend\",q))}},D.prototype.flyTo=function(q,K){var de=this;if(!q.essential&&i.browser.prefersReducedMotion){var ne=i.pick(q,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(ne,K)}this.stop(),q=i.extend({offset:[0,0],speed:1.2,curve:1.42,easing:i.ease},q);var we=this.transform,Ue=this.getZoom(),ft=this.getBearing(),Xt=this.getPitch(),hr=this.getPadding(),qt=\"zoom\"in q?i.clamp(+q.zoom,we.minZoom,we.maxZoom):Ue,Ve=\"bearing\"in q?this._normalizeBearing(q.bearing,ft):ft,Qe=\"pitch\"in q?+q.pitch:Xt,at=\"padding\"in q?q.padding:we.padding,Ct=we.zoomScale(qt-Ue),Ot=i.Point.convert(q.offset),Rt=we.centerPoint.add(Ot),Bt=we.pointLocation(Rt),Dt=i.LngLat.convert(q.center||Bt);this._normalizeCenter(Dt);var yt=we.project(Bt),Pt=we.project(Dt).sub(yt),ht=q.curve,ur=Math.max(we.width,we.height),br=ur/Ct,Ur=Pt.mag();if(\"minZoom\"in q){var Di=i.clamp(Math.min(q.minZoom,Ue,qt),we.minZoom,we.maxZoom),fi=ur/we.zoomScale(Di-Ue);ht=Math.sqrt(fi/Ur*2)}var Ti=ht*ht;function gn(so){var Zo=(br*br-ur*ur+(so?-1:1)*Ti*Ti*Ur*Ur)/(2*(so?br:ur)*Ti*Ur);return Math.log(Math.sqrt(Zo*Zo+1)-Zo)}function rn(so){return(Math.exp(so)-Math.exp(-so))/2}function Ci(so){return(Math.exp(so)+Math.exp(-so))/2}function Bi(so){return rn(so)/Ci(so)}var Gi=gn(0),sn=function(so){return Ci(Gi)/Ci(Gi+ht*so)},zn=function(so){return ur*((Ci(Gi)*Bi(Gi+ht*so)-rn(Gi))/Ti)/Ur},Ja=(gn(1)-Gi)/ht;if(Math.abs(Ur)<1e-6||!isFinite(Ja)){if(Math.abs(ur-br)<1e-6)return this.easeTo(q,K);var co=br<ur?-1:1;Ja=Math.abs(Math.log(br/ur))/ht,zn=function(){return 0},sn=function(so){return Math.exp(co*ht*so)}}if(\"duration\"in q)q.duration=+q.duration;else{var ts=\"screenSpeed\"in q?+q.screenSpeed/ht:+q.speed;q.duration=1e3*Ja/ts}return q.maxDuration&&q.duration>q.maxDuration&&(q.duration=0),this._zooming=!0,this._rotating=ft!==Ve,this._pitching=Qe!==Xt,this._padding=!we.isPaddingEqual(at),this._prepareEase(K,!1),this._ease(function(so){var Zo=so*Ja,ms=1/sn(Zo);we.zoom=so===1?qt:Ue+we.scaleZoom(ms),de._rotating&&(we.bearing=i.number(ft,Ve,so)),de._pitching&&(we.pitch=i.number(Xt,Qe,so)),de._padding&&(we.interpolatePadding(hr,at,so),Rt=we.centerPoint.add(Ot));var ou=so===1?Dt:we.unproject(yt.add(Pt.mult(zn(Zo))).mult(ms));we.setLocationAtPoint(we.renderWorldCopies?ou.wrap():ou,Rt),de._fireMoveEvents(K)},function(){return de._afterEase(K)},q),this},D.prototype.isEasing=function(){return!!this._easeFrameId},D.prototype.stop=function(){return this._stop()},D.prototype._stop=function(q,K){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var de=this._onEaseEnd;delete this._onEaseEnd,de.call(this,K)}if(!q){var ne=this.handlers;ne&&ne.stop(!1)}return this},D.prototype._ease=function(q,K,de){de.animate===!1||de.duration===0?(q(1),K()):(this._easeStart=i.browser.now(),this._easeOptions=de,this._onEaseFrame=q,this._onEaseEnd=K,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},D.prototype._renderFrameCallback=function(){var q=Math.min((i.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(q)),q<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},D.prototype._normalizeBearing=function(q,K){q=i.wrap(q,-180,180);var de=Math.abs(q-K);return Math.abs(q-360-K)<de&&(q-=360),Math.abs(q+360-K)<de&&(q+=360),q},D.prototype._normalizeCenter=function(q){var K=this.transform;if(!(!K.renderWorldCopies||K.lngRange)){var de=q.lng-K.center.lng;q.lng+=de>180?-360:de<-180?360:0}},D}(i.Evented),en=function(D){D===void 0&&(D={}),this.options=D,i.bindAll([\"_toggleAttribution\",\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};en.prototype.getDefaultPosition=function(){return\"bottom-right\"},en.prototype.onAdd=function(D){var J=this.options&&this.options.compact;return this._map=D,this._container=o.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._compactButton=o.create(\"button\",\"mapboxgl-ctrl-attrib-button\",this._container),this._compactButton.addEventListener(\"click\",this._toggleAttribution),this._setElementTitle(this._compactButton,\"ToggleAttribution\"),this._innerContainer=o.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),this._innerContainer.setAttribute(\"role\",\"list\"),J&&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),J===void 0&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},en.prototype.onRemove=function(){o.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},en.prototype._setElementTitle=function(D,J){var q=this._map._getUIString(\"AttributionControl.\"+J);D.title=q,D.setAttribute(\"aria-label\",q)},en.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\"))},en.prototype._updateEditLink=function(){var D=this._editLink;D||(D=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var J=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||i.config.ACCESS_TOKEN}];if(D){var q=J.reduce(function(K,de,ne){return de.value&&(K+=de.key+\"=\"+de.value+(ne<J.length-1?\"&\":\"\")),K},\"?\");D.href=i.config.FEEDBACK_URL+\"/\"+q+(this._map._hash?this._map._hash.getHashString(!0):\"\"),D.rel=\"noopener nofollow\",this._setElementTitle(D,\"MapFeedback\")}},en.prototype._updateData=function(D){D&&(D.sourceDataType===\"metadata\"||D.sourceDataType===\"visibility\"||D.dataType===\"style\")&&(this._updateAttributions(),this._updateEditLink())},en.prototype._updateAttributions=function(){if(this._map.style){var D=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?D=D.concat(this.options.customAttribution.map(function(Ue){return typeof Ue!=\"string\"?\"\":Ue})):typeof this.options.customAttribution==\"string\"&&D.push(this.options.customAttribution)),this._map.style.stylesheet){var J=this._map.style.stylesheet;this.styleOwner=J.owner,this.styleId=J.id}var q=this._map.style.sourceCaches;for(var K in q){var de=q[K];if(de.used){var ne=de.getSource();ne.attribution&&D.indexOf(ne.attribution)<0&&D.push(ne.attribution)}}D.sort(function(Ue,ft){return Ue.length-ft.length}),D=D.filter(function(Ue,ft){for(var Xt=ft+1;Xt<D.length;Xt++)if(D[Xt].indexOf(Ue)>=0)return!1;return!0});var we=D.join(\" | \");we!==this._attribHTML&&(this._attribHTML=we,D.length?(this._innerContainer.innerHTML=we,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},en.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\",\"mapboxgl-compact-show\")};var Wi=function(){i.bindAll([\"_updateLogo\"],this),i.bindAll([\"_updateCompact\"],this)};Wi.prototype.onAdd=function(D){this._map=D,this._container=o.create(\"div\",\"mapboxgl-ctrl\");var J=o.create(\"a\",\"mapboxgl-ctrl-logo\");return J.target=\"_blank\",J.rel=\"noopener nofollow\",J.href=\"https://www.mapbox.com/\",J.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),J.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(J),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},Wi.prototype.onRemove=function(){o.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},Wi.prototype.getDefaultPosition=function(){return\"bottom-left\"},Wi.prototype._updateLogo=function(D){(!D||D.sourceDataType===\"metadata\")&&(this._container.style.display=this._logoRequired()?\"block\":\"none\")},Wi.prototype._logoRequired=function(){if(this._map.style){var D=this._map.style.sourceCaches;for(var J in D){var q=D[J].getSource();if(q.mapbox_logo)return!0}return!1}},Wi.prototype._updateCompact=function(){var D=this._container.children;if(D.length){var J=D[0];this._map.getCanvasContainer().offsetWidth<250?J.classList.add(\"mapboxgl-compact\"):J.classList.remove(\"mapboxgl-compact\")}};var si=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};si.prototype.add=function(D){var J=++this._id,q=this._queue;return q.push({callback:D,id:J,cancelled:!1}),J},si.prototype.remove=function(D){for(var J=this._currentlyRunning,q=J?this._queue.concat(J):this._queue,K=0,de=q;K<de.length;K+=1){var ne=de[K];if(ne.id===D){ne.cancelled=!0;return}}},si.prototype.run=function(D){D===void 0&&(D=0);var J=this._currentlyRunning=this._queue;this._queue=[];for(var q=0,K=J;q<K.length;q+=1){var de=K[q];if(!de.cancelled&&(de.callback(D),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},si.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Mr={\"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\"},Yr=i.window.HTMLImageElement,xi=i.window.HTMLElement,Ri=i.window.ImageBitmap,ci=-2,an=22,Zi=0,Bn=60,hi={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:ci,maxZoom:an,minPitch:Zi,maxPitch:Bn,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},li=function(Y){function D(q){var K=this;if(q=i.extend({},hi,q),q.minZoom!=null&&q.maxZoom!=null&&q.minZoom>q.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(q.minPitch!=null&&q.maxPitch!=null&&q.minPitch>q.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(q.minPitch!=null&&q.minPitch<Zi)throw new Error(\"minPitch must be greater than or equal to \"+Zi);if(q.maxPitch!=null&&q.maxPitch>Bn)throw new Error(\"maxPitch must be less than or equal to \"+Bn);var de=new wo(q.minZoom,q.maxZoom,q.minPitch,q.maxPitch,q.renderWorldCopies);if(Y.call(this,de,q),this._interactive=q.interactive,this._maxTileCacheSize=q.maxTileCacheSize,this._failIfMajorPerformanceCaveat=q.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=q.preserveDrawingBuffer,this._antialias=q.antialias,this._trackResize=q.trackResize,this._bearingSnap=q.bearingSnap,this._refreshExpiredTiles=q.refreshExpiredTiles,this._fadeDuration=q.fadeDuration,this._crossSourceCollisions=q.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=q.collectResourceTiming,this._renderTaskQueue=new si,this._controls=[],this._mapId=i.uniqueId(),this._locale=i.extend({},Mr,q.locale),this._clickTolerance=q.clickTolerance,this._requestManager=new i.RequestManager(q.transformRequest,q.accessToken),typeof q.container==\"string\"){if(this._container=i.window.document.getElementById(q.container),!this._container)throw new Error(\"Container '\"+q.container+\"' not found.\")}else if(q.container instanceof xi)this._container=q.container;else throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");if(q.maxBounds&&this.setMaxBounds(q.maxBounds),i.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_onMapScroll\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),this.painter===void 0)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",function(){return K._update(!1)}),this.on(\"moveend\",function(){return K._update(!1)}),this.on(\"zoom\",function(){return K._update(!0)}),typeof i.window!=\"undefined\"&&(i.window.addEventListener(\"online\",this._onWindowOnline,!1),i.window.addEventListener(\"resize\",this._onWindowResize,!1),i.window.addEventListener(\"orientationchange\",this._onWindowResize,!1)),this.handlers=new Ei(this,q);var ne=typeof q.hash==\"string\"&&q.hash||void 0;this._hash=q.hash&&new Ul(ne).addTo(this),(!this._hash||!this._hash._onHashChange())&&(this.jumpTo({center:q.center,zoom:q.zoom,bearing:q.bearing,pitch:q.pitch}),q.bounds&&(this.resize(),this.fitBounds(q.bounds,i.extend({},q.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=q.localIdeographFontFamily,q.style&&this.setStyle(q.style,{localIdeographFontFamily:q.localIdeographFontFamily}),q.attributionControl&&this.addControl(new en({customAttribution:q.customAttribution})),this.addControl(new Wi,q.logoPosition),this.on(\"style.load\",function(){K.transform.unmodified&&K.jumpTo(K.style.stylesheet)}),this.on(\"data\",function(we){K._update(we.dataType===\"style\"),K.fire(new i.Event(we.dataType+\"data\",we))}),this.on(\"dataloading\",function(we){K.fire(new i.Event(we.dataType+\"dataloading\",we))})}Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D;var J={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return D.prototype._getMapId=function(){return this._mapId},D.prototype.addControl=function(K,de){if(de===void 0&&(K.getDefaultPosition?de=K.getDefaultPosition():de=\"top-right\"),!K||!K.onAdd)return this.fire(new i.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var ne=K.onAdd(this);this._controls.push(K);var we=this._controlPositions[de];return de.indexOf(\"bottom\")!==-1?we.insertBefore(ne,we.firstChild):we.appendChild(ne),this},D.prototype.removeControl=function(K){if(!K||!K.onRemove)return this.fire(new i.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var de=this._controls.indexOf(K);return de>-1&&this._controls.splice(de,1),K.onRemove(this),this},D.prototype.hasControl=function(K){return this._controls.indexOf(K)>-1},D.prototype.resize=function(K){var de=this._containerDimensions(),ne=de[0],we=de[1];this._resizeCanvas(ne,we),this.transform.resize(ne,we),this.painter.resize(ne,we);var Ue=!this._moving;return Ue&&(this.stop(),this.fire(new i.Event(\"movestart\",K)).fire(new i.Event(\"move\",K))),this.fire(new i.Event(\"resize\",K)),Ue&&this.fire(new i.Event(\"moveend\",K)),this},D.prototype.getBounds=function(){return this.transform.getBounds()},D.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},D.prototype.setMaxBounds=function(K){return this.transform.setMaxBounds(i.LngLatBounds.convert(K)),this._update()},D.prototype.setMinZoom=function(K){if(K=K==null?ci:K,K>=ci&&K<=this.transform.maxZoom)return this.transform.minZoom=K,this._update(),this.getZoom()<K&&this.setZoom(K),this;throw new Error(\"minZoom must be between \"+ci+\" and the current maxZoom, inclusive\")},D.prototype.getMinZoom=function(){return this.transform.minZoom},D.prototype.setMaxZoom=function(K){if(K=K==null?an:K,K>=this.transform.minZoom)return this.transform.maxZoom=K,this._update(),this.getZoom()>K&&this.setZoom(K),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},D.prototype.getMaxZoom=function(){return this.transform.maxZoom},D.prototype.setMinPitch=function(K){if(K=K==null?Zi:K,K<Zi)throw new Error(\"minPitch must be greater than or equal to \"+Zi);if(K>=Zi&&K<=this.transform.maxPitch)return this.transform.minPitch=K,this._update(),this.getPitch()<K&&this.setPitch(K),this;throw new Error(\"minPitch must be between \"+Zi+\" and the current maxPitch, inclusive\")},D.prototype.getMinPitch=function(){return this.transform.minPitch},D.prototype.setMaxPitch=function(K){if(K=K==null?Bn:K,K>Bn)throw new Error(\"maxPitch must be less than or equal to \"+Bn);if(K>=this.transform.minPitch)return this.transform.maxPitch=K,this._update(),this.getPitch()>K&&this.setPitch(K),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},D.prototype.getMaxPitch=function(){return this.transform.maxPitch},D.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},D.prototype.setRenderWorldCopies=function(K){return this.transform.renderWorldCopies=K,this._update()},D.prototype.project=function(K){return this.transform.locationPoint(i.LngLat.convert(K))},D.prototype.unproject=function(K){return this.transform.pointLocation(i.Point.convert(K))},D.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},D.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},D.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},D.prototype._createDelegatedListener=function(K,de,ne){var we=this,Ue;if(K===\"mouseenter\"||K===\"mouseover\"){var ft=!1,Xt=function(Ct){var Ot=we.getLayer(de)?we.queryRenderedFeatures(Ct.point,{layers:[de]}):[];Ot.length?ft||(ft=!0,ne.call(we,new se(K,we,Ct.originalEvent,{features:Ot}))):ft=!1},hr=function(){ft=!1};return{layer:de,listener:ne,delegates:{mousemove:Xt,mouseout:hr}}}else if(K===\"mouseleave\"||K===\"mouseout\"){var qt=!1,Ve=function(Ct){var Ot=we.getLayer(de)?we.queryRenderedFeatures(Ct.point,{layers:[de]}):[];Ot.length?qt=!0:qt&&(qt=!1,ne.call(we,new se(K,we,Ct.originalEvent)))},Qe=function(Ct){qt&&(qt=!1,ne.call(we,new se(K,we,Ct.originalEvent)))};return{layer:de,listener:ne,delegates:{mousemove:Ve,mouseout:Qe}}}else{var at=function(Ct){var Ot=we.getLayer(de)?we.queryRenderedFeatures(Ct.point,{layers:[de]}):[];Ot.length&&(Ct.features=Ot,ne.call(we,Ct),delete Ct.features)};return{layer:de,listener:ne,delegates:(Ue={},Ue[K]=at,Ue)}}},D.prototype.on=function(K,de,ne){if(ne===void 0)return Y.prototype.on.call(this,K,de);var we=this._createDelegatedListener(K,de,ne);this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[K]=this._delegatedListeners[K]||[],this._delegatedListeners[K].push(we);for(var Ue in we.delegates)this.on(Ue,we.delegates[Ue]);return this},D.prototype.once=function(K,de,ne){if(ne===void 0)return Y.prototype.once.call(this,K,de);var we=this._createDelegatedListener(K,de,ne);for(var Ue in we.delegates)this.once(Ue,we.delegates[Ue]);return this},D.prototype.off=function(K,de,ne){var we=this;if(ne===void 0)return Y.prototype.off.call(this,K,de);var Ue=function(ft){for(var Xt=ft[K],hr=0;hr<Xt.length;hr++){var qt=Xt[hr];if(qt.layer===de&&qt.listener===ne){for(var Ve in qt.delegates)we.off(Ve,qt.delegates[Ve]);return Xt.splice(hr,1),we}}};return this._delegatedListeners&&this._delegatedListeners[K]&&Ue(this._delegatedListeners),this},D.prototype.queryRenderedFeatures=function(K,de){if(!this.style)return[];de===void 0&&K!==void 0&&!(K instanceof i.Point)&&!Array.isArray(K)&&(de=K,K=void 0),de=de||{},K=K||[[0,0],[this.transform.width,this.transform.height]];var ne;if(K instanceof i.Point||typeof K[0]==\"number\")ne=[i.Point.convert(K)];else{var we=i.Point.convert(K[0]),Ue=i.Point.convert(K[1]);ne=[we,new i.Point(Ue.x,we.y),Ue,new i.Point(we.x,Ue.y),we]}return this.style.queryRenderedFeatures(ne,de,this.transform)},D.prototype.querySourceFeatures=function(K,de){return this.style.querySourceFeatures(K,de)},D.prototype.setStyle=function(K,de){return de=i.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},de),de.diff!==!1&&de.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&K?(this._diffStyle(K,de),this):(this._localIdeographFontFamily=de.localIdeographFontFamily,this._updateStyle(K,de))},D.prototype._getUIString=function(K){var de=this._locale[K];if(de==null)throw new Error(\"Missing UI string '\"+K+\"'\");return de},D.prototype._updateStyle=function(K,de){if(this.style&&(this.style.setEventedParent(null),this.style._remove()),K)this.style=new yu(this,de||{});else return delete this.style,this;return this.style.setEventedParent(this,{style:this.style}),typeof K==\"string\"?this.style.loadURL(K):this.style.loadJSON(K),this},D.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new yu(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},D.prototype._diffStyle=function(K,de){var ne=this;if(typeof K==\"string\"){var we=this._requestManager.normalizeStyleURL(K),Ue=this._requestManager.transformRequest(we,i.ResourceType.Style);i.getJSON(Ue,function(ft,Xt){ft?ne.fire(new i.ErrorEvent(ft)):Xt&&ne._updateDiff(Xt,de)})}else typeof K==\"object\"&&this._updateDiff(K,de)},D.prototype._updateDiff=function(K,de){try{this.style.setState(K)&&this._update(!0)}catch(ne){i.warnOnce(\"Unable to perform style diff: \"+(ne.message||ne.error||ne)+\".  Rebuilding the style from scratch.\"),this._updateStyle(K,de)}},D.prototype.getStyle=function(){if(this.style)return this.style.serialize()},D.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():i.warnOnce(\"There is no style added to the map.\")},D.prototype.addSource=function(K,de){return this._lazyInitEmptyStyle(),this.style.addSource(K,de),this._update(!0)},D.prototype.isSourceLoaded=function(K){var de=this.style&&this.style.sourceCaches[K];if(de===void 0){this.fire(new i.ErrorEvent(new Error(\"There is no source with ID '\"+K+\"'\")));return}return de.loaded()},D.prototype.areTilesLoaded=function(){var K=this.style&&this.style.sourceCaches;for(var de in K){var ne=K[de],we=ne._tiles;for(var Ue in we){var ft=we[Ue];if(!(ft.state===\"loaded\"||ft.state===\"errored\"))return!1}}return!0},D.prototype.addSourceType=function(K,de,ne){return this._lazyInitEmptyStyle(),this.style.addSourceType(K,de,ne)},D.prototype.removeSource=function(K){return this.style.removeSource(K),this._update(!0)},D.prototype.getSource=function(K){return this.style.getSource(K)},D.prototype.addImage=function(K,de,ne){ne===void 0&&(ne={});var we=ne.pixelRatio;we===void 0&&(we=1);var Ue=ne.sdf;Ue===void 0&&(Ue=!1);var ft=ne.stretchX,Xt=ne.stretchY,hr=ne.content;this._lazyInitEmptyStyle();var qt=0;if(de instanceof Yr||Ri&&de instanceof Ri){var Ve=i.browser.getImageData(de),Qe=Ve.width,at=Ve.height,Ct=Ve.data;this.style.addImage(K,{data:new i.RGBAImage({width:Qe,height:at},Ct),pixelRatio:we,stretchX:ft,stretchY:Xt,content:hr,sdf:Ue,version:qt})}else{if(de.width===void 0||de.height===void 0)return this.fire(new i.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 Ot=de.width,Rt=de.height,Bt=de.data,Dt=de;this.style.addImage(K,{data:new i.RGBAImage({width:Ot,height:Rt},new Uint8Array(Bt)),pixelRatio:we,stretchX:ft,stretchY:Xt,content:hr,sdf:Ue,version:qt,userImage:Dt}),Dt.onAdd&&Dt.onAdd(this,K)}},D.prototype.updateImage=function(K,de){var ne=this.style.getImage(K);if(!ne)return this.fire(new i.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var we=de instanceof Yr||Ri&&de instanceof Ri?i.browser.getImageData(de):de,Ue=we.width,ft=we.height,Xt=we.data;if(Ue===void 0||ft===void 0)return this.fire(new i.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(Ue!==ne.data.width||ft!==ne.data.height)return this.fire(new i.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));var hr=!(de instanceof Yr||Ri&&de instanceof Ri);ne.data.replace(Xt,hr),this.style.updateImage(K,ne)},D.prototype.hasImage=function(K){return K?!!this.style.getImage(K):(this.fire(new i.ErrorEvent(new Error(\"Missing required image id\"))),!1)},D.prototype.removeImage=function(K){this.style.removeImage(K)},D.prototype.loadImage=function(K,de){i.getImage(this._requestManager.transformRequest(K,i.ResourceType.Image),de)},D.prototype.listImages=function(){return this.style.listImages()},D.prototype.addLayer=function(K,de){return this._lazyInitEmptyStyle(),this.style.addLayer(K,de),this._update(!0)},D.prototype.moveLayer=function(K,de){return this.style.moveLayer(K,de),this._update(!0)},D.prototype.removeLayer=function(K){return this.style.removeLayer(K),this._update(!0)},D.prototype.getLayer=function(K){return this.style.getLayer(K)},D.prototype.setLayerZoomRange=function(K,de,ne){return this.style.setLayerZoomRange(K,de,ne),this._update(!0)},D.prototype.setFilter=function(K,de,ne){return ne===void 0&&(ne={}),this.style.setFilter(K,de,ne),this._update(!0)},D.prototype.getFilter=function(K){return this.style.getFilter(K)},D.prototype.setPaintProperty=function(K,de,ne,we){return we===void 0&&(we={}),this.style.setPaintProperty(K,de,ne,we),this._update(!0)},D.prototype.getPaintProperty=function(K,de){return this.style.getPaintProperty(K,de)},D.prototype.setLayoutProperty=function(K,de,ne,we){return we===void 0&&(we={}),this.style.setLayoutProperty(K,de,ne,we),this._update(!0)},D.prototype.getLayoutProperty=function(K,de){return this.style.getLayoutProperty(K,de)},D.prototype.setLight=function(K,de){return de===void 0&&(de={}),this._lazyInitEmptyStyle(),this.style.setLight(K,de),this._update(!0)},D.prototype.getLight=function(){return this.style.getLight()},D.prototype.setFeatureState=function(K,de){return this.style.setFeatureState(K,de),this._update()},D.prototype.removeFeatureState=function(K,de){return this.style.removeFeatureState(K,de),this._update()},D.prototype.getFeatureState=function(K){return this.style.getFeatureState(K)},D.prototype.getContainer=function(){return this._container},D.prototype.getCanvasContainer=function(){return this._canvasContainer},D.prototype.getCanvas=function(){return this._canvas},D.prototype._containerDimensions=function(){var K=0,de=0;return this._container&&(K=this._container.clientWidth||400,de=this._container.clientHeight||300),[K,de]},D.prototype._detectMissingCSS=function(){var K=i.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\");K!==\"rgb(250, 128, 114)\"&&i.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/.\")},D.prototype._setupContainer=function(){var K=this._container;K.classList.add(\"mapboxgl-map\");var de=this._missingCSSCanary=o.create(\"div\",\"mapboxgl-canary\",K);de.style.visibility=\"hidden\",this._detectMissingCSS();var ne=this._canvasContainer=o.create(\"div\",\"mapboxgl-canvas-container\",K);this._interactive&&ne.classList.add(\"mapboxgl-interactive\"),this._canvas=o.create(\"canvas\",\"mapboxgl-canvas\",ne),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 we=this._containerDimensions();this._resizeCanvas(we[0],we[1]);var Ue=this._controlContainer=o.create(\"div\",\"mapboxgl-control-container\",K),ft=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach(function(Xt){ft[Xt]=o.create(\"div\",\"mapboxgl-ctrl-\"+Xt,Ue)}),this._container.addEventListener(\"scroll\",this._onMapScroll,!1)},D.prototype._resizeCanvas=function(K,de){var ne=i.browser.devicePixelRatio||1;this._canvas.width=ne*K,this._canvas.height=ne*de,this._canvas.style.width=K+\"px\",this._canvas.style.height=de+\"px\"},D.prototype._setupPainter=function(){var K=i.extend({},a.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),de=this._canvas.getContext(\"webgl\",K)||this._canvas.getContext(\"experimental-webgl\",K);if(!de){this.fire(new i.ErrorEvent(new Error(\"Failed to initialize WebGL\")));return}this.painter=new mo(de,this.transform),i.webpSupported.testSupport(de)},D.prototype._contextLost=function(K){K.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new i.Event(\"webglcontextlost\",{originalEvent:K}))},D.prototype._contextRestored=function(K){this._setupPainter(),this.resize(),this._update(),this.fire(new i.Event(\"webglcontextrestored\",{originalEvent:K}))},D.prototype._onMapScroll=function(K){if(K.target===this._container)return this._container.scrollTop=0,this._container.scrollLeft=0,!1},D.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},D.prototype._update=function(K){return this.style?(this._styleDirty=this._styleDirty||K,this._sourcesDirty=!0,this.triggerRepaint(),this):this},D.prototype._requestRenderFrame=function(K){return this._update(),this._renderTaskQueue.add(K)},D.prototype._cancelRenderFrame=function(K){this._renderTaskQueue.remove(K)},D.prototype._render=function(K){var de=this,ne,we=0,Ue=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(ne=Ue.createQueryEXT(),Ue.beginQueryEXT(Ue.TIME_ELAPSED_EXT,ne),we=i.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(K),!this._removed){var ft=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var Xt=this.transform.zoom,hr=i.browser.now();this.style.zoomHistory.update(Xt,hr);var qt=new i.EvaluationParameters(Xt,{now:hr,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),Ve=qt.crossFadingFactor();(Ve!==1||Ve!==this._crossFadingFactor)&&(ft=!0,this._crossFadingFactor=Ve),this.style.update(qt)}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 i.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new i.Event(\"load\"))),this.style&&(this.style.hasTransitions()||ft)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var Qe=i.browser.now()-we;Ue.endQueryEXT(Ue.TIME_ELAPSED_EXT,ne),setTimeout(function(){var Ot=Ue.getQueryObjectEXT(ne,Ue.QUERY_RESULT_EXT)/1e6;Ue.deleteQueryEXT(ne),de.fire(new i.Event(\"gpu-timing-frame\",{cpuTime:Qe,gpuTime:Ot}))},50)}if(this.listens(\"gpu-timing-layer\")){var at=this.painter.collectGpuTimers();setTimeout(function(){var Ot=de.painter.queryGpuTimers(at);de.fire(new i.Event(\"gpu-timing-layer\",{layerTimes:Ot}))},50)}var Ct=this._sourcesDirty||this._styleDirty||this._placementDirty;return Ct||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new i.Event(\"idle\")),this._loaded&&!this._fullyLoaded&&!Ct&&(this._fullyLoaded=!0),this}},D.prototype.remove=function(){this._hash&&this._hash.remove();for(var K=0,de=this._controls;K<de.length;K+=1){var ne=de[K];ne.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),typeof i.window!=\"undefined\"&&(i.window.removeEventListener(\"resize\",this._onWindowResize,!1),i.window.removeEventListener(\"orientationchange\",this._onWindowResize,!1),i.window.removeEventListener(\"online\",this._onWindowOnline,!1));var we=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");we&&we.loseContext&&we.loseContext(),mn(this._canvasContainer),mn(this._controlContainer),mn(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new i.Event(\"remove\"))},D.prototype.triggerRepaint=function(){var K=this;this.style&&!this._frame&&(this._frame=i.browser.frame(function(de){K._frame=null,K._render(de)}))},D.prototype._onWindowOnline=function(){this._update()},D.prototype._onWindowResize=function(K){this._trackResize&&this.resize({originalEvent:K})._update()},J.showTileBoundaries.get=function(){return!!this._showTileBoundaries},J.showTileBoundaries.set=function(q){this._showTileBoundaries!==q&&(this._showTileBoundaries=q,this._update())},J.showPadding.get=function(){return!!this._showPadding},J.showPadding.set=function(q){this._showPadding!==q&&(this._showPadding=q,this._update())},J.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},J.showCollisionBoxes.set=function(q){this._showCollisionBoxes!==q&&(this._showCollisionBoxes=q,q?this.style._generateCollisionBoxes():this._update())},J.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},J.showOverdrawInspector.set=function(q){this._showOverdrawInspector!==q&&(this._showOverdrawInspector=q,this._update())},J.repaint.get=function(){return!!this._repaint},J.repaint.set=function(q){this._repaint!==q&&(this._repaint=q,this.triggerRepaint())},J.vertices.get=function(){return!!this._vertices},J.vertices.set=function(q){this._vertices=q,this._update()},D.prototype._setCacheLimits=function(K,de){i.setCacheLimits(K,de)},J.version.get=function(){return i.version},Object.defineProperties(D.prototype,J),D}(Hn);function mn(Y){Y.parentNode&&Y.parentNode.removeChild(Y)}var Ji={showCompass:!0,showZoom:!0,visualizePitch:!1},Vi=function(D){var J=this;this.options=i.extend({},Ji,D),this._container=o.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",function(q){return q.preventDefault()}),this.options.showZoom&&(i.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",function(q){return J._map.zoomIn({},{originalEvent:q})}),o.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",function(q){return J._map.zoomOut({},{originalEvent:q})}),o.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(i.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",function(q){J.options.visualizePitch?J._map.resetNorthPitch({},{originalEvent:q}):J._map.resetNorth({},{originalEvent:q})}),this._compassIcon=o.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};Vi.prototype._updateZoomButtons=function(){var D=this._map.getZoom(),J=D===this._map.getMaxZoom(),q=D===this._map.getMinZoom();this._zoomInButton.disabled=J,this._zoomOutButton.disabled=q,this._zoomInButton.setAttribute(\"aria-disabled\",J.toString()),this._zoomOutButton.setAttribute(\"aria-disabled\",q.toString())},Vi.prototype._rotateCompassArrow=function(){var D=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=D},Vi.prototype.onAdd=function(D){return this._map=D,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ni(this._map,this._compass,this.options.visualizePitch)),this._container},Vi.prototype.onRemove=function(){o.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},Vi.prototype._createButton=function(D,J){var q=o.create(\"button\",D,this._container);return q.type=\"button\",q.addEventListener(\"click\",J),q},Vi.prototype._setButtonTitle=function(D,J){var q=this._map._getUIString(\"NavigationControl.\"+J);D.title=q,D.setAttribute(\"aria-label\",q)};var Ni=function(D,J,q){q===void 0&&(q=!1),this._clickTolerance=10,this.element=J,this.mouseRotate=new Ln({clickTolerance:D.dragRotate._mouseRotate._clickTolerance}),this.map=D,q&&(this.mousePitch=new En({clickTolerance:D.dragRotate._mousePitch._clickTolerance})),i.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),o.addEventListener(J,\"mousedown\",this.mousedown),o.addEventListener(J,\"touchstart\",this.touchstart,{passive:!1}),o.addEventListener(J,\"touchmove\",this.touchmove),o.addEventListener(J,\"touchend\",this.touchend),o.addEventListener(J,\"touchcancel\",this.reset)};Ni.prototype.down=function(D,J){this.mouseRotate.mousedown(D,J),this.mousePitch&&this.mousePitch.mousedown(D,J),o.disableDrag()},Ni.prototype.move=function(D,J){var q=this.map,K=this.mouseRotate.mousemoveWindow(D,J);if(K&&K.bearingDelta&&q.setBearing(q.getBearing()+K.bearingDelta),this.mousePitch){var de=this.mousePitch.mousemoveWindow(D,J);de&&de.pitchDelta&&q.setPitch(q.getPitch()+de.pitchDelta)}},Ni.prototype.off=function(){var D=this.element;o.removeEventListener(D,\"mousedown\",this.mousedown),o.removeEventListener(D,\"touchstart\",this.touchstart,{passive:!1}),o.removeEventListener(D,\"touchmove\",this.touchmove),o.removeEventListener(D,\"touchend\",this.touchend),o.removeEventListener(D,\"touchcancel\",this.reset),this.offTemp()},Ni.prototype.offTemp=function(){o.enableDrag(),o.removeEventListener(i.window,\"mousemove\",this.mousemove),o.removeEventListener(i.window,\"mouseup\",this.mouseup)},Ni.prototype.mousedown=function(D){this.down(i.extend({},D,{ctrlKey:!0,preventDefault:function(){return D.preventDefault()}}),o.mousePos(this.element,D)),o.addEventListener(i.window,\"mousemove\",this.mousemove),o.addEventListener(i.window,\"mouseup\",this.mouseup)},Ni.prototype.mousemove=function(D){this.move(D,o.mousePos(this.element,D))},Ni.prototype.mouseup=function(D){this.mouseRotate.mouseupWindow(D),this.mousePitch&&this.mousePitch.mouseupWindow(D),this.offTemp()},Ni.prototype.touchstart=function(D){D.targetTouches.length!==1?this.reset():(this._startPos=this._lastPos=o.touchPos(this.element,D.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return D.preventDefault()}},this._startPos))},Ni.prototype.touchmove=function(D){D.targetTouches.length!==1?this.reset():(this._lastPos=o.touchPos(this.element,D.targetTouches)[0],this.move({preventDefault:function(){return D.preventDefault()}},this._lastPos))},Ni.prototype.touchend=function(D){D.targetTouches.length===0&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ni.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};function pn(Y,D,J){if(Y=new i.LngLat(Y.lng,Y.lat),D){var q=new i.LngLat(Y.lng-360,Y.lat),K=new i.LngLat(Y.lng+360,Y.lat),de=J.locationPoint(Y).distSqr(D);J.locationPoint(q).distSqr(D)<de?Y=q:J.locationPoint(K).distSqr(D)<de&&(Y=K)}for(;Math.abs(Y.lng-J.center.lng)>180;){var ne=J.locationPoint(Y);if(ne.x>=0&&ne.y>=0&&ne.x<=J.width&&ne.y<=J.height)break;Y.lng>J.center.lng?Y.lng-=360:Y.lng+=360}return Y}var Vn={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 na(Y,D,J){var q=Y.classList;for(var K in Vn)q.remove(\"mapboxgl-\"+J+\"-anchor-\"+K);q.add(\"mapboxgl-\"+J+\"-anchor-\"+D)}var Ki=function(Y){function D(J,q){if(Y.call(this),(J instanceof i.window.HTMLElement||q)&&(J=i.extend({element:J},q)),i.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=J&&J.anchor||\"center\",this._color=J&&J.color||\"#3FB1CE\",this._scale=J&&J.scale||1,this._draggable=J&&J.draggable||!1,this._clickTolerance=J&&J.clickTolerance||0,this._isDragging=!1,this._state=\"inactive\",this._rotation=J&&J.rotation||0,this._rotationAlignment=J&&J.rotationAlignment||\"auto\",this._pitchAlignment=J&&J.pitchAlignment&&J.pitchAlignment!==\"auto\"?J.pitchAlignment:this._rotationAlignment,!J||!J.element){this._defaultMarker=!0,this._element=o.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var K=o.createNS(\"http://www.w3.org/2000/svg\",\"svg\"),de=41,ne=27;K.setAttributeNS(null,\"display\",\"block\"),K.setAttributeNS(null,\"height\",de+\"px\"),K.setAttributeNS(null,\"width\",ne+\"px\"),K.setAttributeNS(null,\"viewBox\",\"0 0 \"+ne+\" \"+de);var we=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");we.setAttributeNS(null,\"stroke\",\"none\"),we.setAttributeNS(null,\"stroke-width\",\"1\"),we.setAttributeNS(null,\"fill\",\"none\"),we.setAttributeNS(null,\"fill-rule\",\"evenodd\");var Ue=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");Ue.setAttributeNS(null,\"fill-rule\",\"nonzero\");var ft=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");ft.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),ft.setAttributeNS(null,\"fill\",\"#000000\");for(var Xt=[{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\"}],hr=0,qt=Xt;hr<qt.length;hr+=1){var Ve=qt[hr],Qe=o.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");Qe.setAttributeNS(null,\"opacity\",\"0.04\"),Qe.setAttributeNS(null,\"cx\",\"10.5\"),Qe.setAttributeNS(null,\"cy\",\"5.80029008\"),Qe.setAttributeNS(null,\"rx\",Ve.rx),Qe.setAttributeNS(null,\"ry\",Ve.ry),ft.appendChild(Qe)}var at=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");at.setAttributeNS(null,\"fill\",this._color);var Ct=o.createNS(\"http://www.w3.org/2000/svg\",\"path\");Ct.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\"),at.appendChild(Ct);var Ot=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");Ot.setAttributeNS(null,\"opacity\",\"0.25\"),Ot.setAttributeNS(null,\"fill\",\"#000000\");var Rt=o.createNS(\"http://www.w3.org/2000/svg\",\"path\");Rt.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\"),Ot.appendChild(Rt);var Bt=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");Bt.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),Bt.setAttributeNS(null,\"fill\",\"#FFFFFF\");var Dt=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");Dt.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var yt=o.createNS(\"http://www.w3.org/2000/svg\",\"circle\");yt.setAttributeNS(null,\"fill\",\"#000000\"),yt.setAttributeNS(null,\"opacity\",\"0.25\"),yt.setAttributeNS(null,\"cx\",\"5.5\"),yt.setAttributeNS(null,\"cy\",\"5.5\"),yt.setAttributeNS(null,\"r\",\"5.4999962\");var Pt=o.createNS(\"http://www.w3.org/2000/svg\",\"circle\");Pt.setAttributeNS(null,\"fill\",\"#FFFFFF\"),Pt.setAttributeNS(null,\"cx\",\"5.5\"),Pt.setAttributeNS(null,\"cy\",\"5.5\"),Pt.setAttributeNS(null,\"r\",\"5.4999962\"),Dt.appendChild(yt),Dt.appendChild(Pt),Ue.appendChild(ft),Ue.appendChild(at),Ue.appendChild(Ot),Ue.appendChild(Bt),Ue.appendChild(Dt),K.appendChild(Ue),K.setAttributeNS(null,\"height\",de*this._scale+\"px\"),K.setAttributeNS(null,\"width\",ne*this._scale+\"px\"),this._element.appendChild(K),this._offset=i.Point.convert(J&&J.offset||[0,-14])}else this._element=J.element,this._offset=i.Point.convert(J&&J.offset||[0,0]);this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",function(ht){ht.preventDefault()}),this._element.addEventListener(\"mousedown\",function(ht){ht.preventDefault()}),na(this._element,this._anchor,\"marker\"),this._popup=null}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.addTo=function(q){return this.remove(),this._map=q,q.getCanvasContainer().appendChild(this._element),q.on(\"move\",this._update),q.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},D.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),o.remove(this._element),this._popup&&this._popup.remove(),this},D.prototype.getLngLat=function(){return this._lngLat},D.prototype.setLngLat=function(q){return this._lngLat=i.LngLat.convert(q),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},D.prototype.getElement=function(){return this._element},D.prototype.setPopup=function(q){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),q){if(!(\"offset\"in q.options)){var K=38.1,de=13.5,ne=Math.sqrt(Math.pow(de,2)/2);q.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-K],\"bottom-left\":[ne,(K-de+ne)*-1],\"bottom-right\":[-ne,(K-de+ne)*-1],left:[de,(K-de)*-1],right:[-de,(K-de)*-1]}:this._offset}this._popup=q,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},D.prototype._onKeyPress=function(q){var K=q.code,de=q.charCode||q.keyCode;(K===\"Space\"||K===\"Enter\"||de===32||de===13)&&this.togglePopup()},D.prototype._onMapClick=function(q){var K=q.originalEvent.target,de=this._element;this._popup&&(K===de||de.contains(K))&&this.togglePopup()},D.prototype.getPopup=function(){return this._popup},D.prototype.togglePopup=function(){var q=this._popup;if(q)q.isOpen()?q.remove():q.addTo(this._map);else return this;return this},D.prototype._update=function(q){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=pn(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var K=\"\";this._rotationAlignment===\"viewport\"||this._rotationAlignment===\"auto\"?K=\"rotateZ(\"+this._rotation+\"deg)\":this._rotationAlignment===\"map\"&&(K=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var de=\"\";this._pitchAlignment===\"viewport\"||this._pitchAlignment===\"auto\"?de=\"rotateX(0deg)\":this._pitchAlignment===\"map\"&&(de=\"rotateX(\"+this._map.getPitch()+\"deg)\"),(!q||q.type===\"moveend\")&&(this._pos=this._pos.round()),o.setTransform(this._element,Vn[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+de+\" \"+K)}},D.prototype.getOffset=function(){return this._offset},D.prototype.setOffset=function(q){return this._offset=i.Point.convert(q),this._update(),this},D.prototype._onMove=function(q){if(!this._isDragging){var K=this._clickTolerance||this._map._clickTolerance;this._isDragging=q.point.dist(this._pointerdownPos)>=K}this._isDragging&&(this._pos=q.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",this._state===\"pending\"&&(this._state=\"active\",this.fire(new i.Event(\"dragstart\"))),this.fire(new i.Event(\"drag\")))},D.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),this._state===\"active\"&&this.fire(new i.Event(\"dragend\")),this._state=\"inactive\"},D.prototype._addDragHandler=function(q){this._element.contains(q.originalEvent.target)&&(q.preventDefault(),this._positionDelta=q.point.sub(this._pos).add(this._offset),this._pointerdownPos=q.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))},D.prototype.setDraggable=function(q){return this._draggable=!!q,this._map&&(q?(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},D.prototype.isDraggable=function(){return this._draggable},D.prototype.setRotation=function(q){return this._rotation=q||0,this._update(),this},D.prototype.getRotation=function(){return this._rotation},D.prototype.setRotationAlignment=function(q){return this._rotationAlignment=q||\"auto\",this._update(),this},D.prototype.getRotationAlignment=function(){return this._rotationAlignment},D.prototype.setPitchAlignment=function(q){return this._pitchAlignment=q&&q!==\"auto\"?q:this._rotationAlignment,this._update(),this},D.prototype.getPitchAlignment=function(){return this._pitchAlignment},D}(i.Evented),kn={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0},ta;function oa(Y){ta!==void 0?Y(ta):i.window.navigator.permissions!==void 0?i.window.navigator.permissions.query({name:\"geolocation\"}).then(function(D){ta=D.state!==\"denied\",Y(ta)}):(ta=!!i.window.navigator.geolocation,Y(ta))}var ba=0,is=!1,Zs=function(Y){function D(J){Y.call(this),this.options=i.extend({},kn,J),i.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.onAdd=function(q){return this._map=q,this._container=o.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),oa(this._setupUI),this._container},D.prototype.onRemove=function(){this._geolocationWatchID!==void 0&&(i.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),o.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,ba=0,is=!1},D.prototype._isOutOfMapMaxBounds=function(q){var K=this._map.getMaxBounds(),de=q.coords;return K&&(de.longitude<K.getWest()||de.longitude>K.getEast()||de.latitude<K.getSouth()||de.latitude>K.getNorth())},D.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\");break}},D.prototype._onSuccess=function(q){if(this._map){if(this._isOutOfMapMaxBounds(q)){this._setErrorState(),this.fire(new i.Event(\"outofmaxbounds\",q)),this._updateMarker(),this._finish();return}if(this.options.trackUserLocation)switch(this._lastKnownPosition=q,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\");break}this.options.showUserLocation&&this._watchState!==\"OFF\"&&this._updateMarker(q),(!this.options.trackUserLocation||this._watchState===\"ACTIVE_LOCK\")&&this._updateCamera(q),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new i.Event(\"geolocate\",q)),this._finish()}},D.prototype._updateCamera=function(q){var K=new i.LngLat(q.coords.longitude,q.coords.latitude),de=q.coords.accuracy,ne=this._map.getBearing(),we=i.extend({bearing:ne},this.options.fitBoundsOptions);this._map.fitBounds(K.toBounds(de),we,{geolocateSource:!0})},D.prototype._updateMarker=function(q){if(q){var K=new i.LngLat(q.coords.longitude,q.coords.latitude);this._accuracyCircleMarker.setLngLat(K).addTo(this._map),this._userLocationDotMarker.setLngLat(K).addTo(this._map),this._accuracy=q.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},D.prototype._updateCircleRadius=function(){var q=this._map._container.clientHeight/2,K=this._map.unproject([0,q]),de=this._map.unproject([1,q]),ne=K.distanceTo(de),we=Math.ceil(2*this._accuracy/ne);this._circleElement.style.width=we+\"px\",this._circleElement.style.height=we+\"px\"},D.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},D.prototype._onError=function(q){if(this._map){if(this.options.trackUserLocation)if(q.code===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._geolocateButton.disabled=!0;var K=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=K,this._geolocateButton.setAttribute(\"aria-label\",K),this._geolocationWatchID!==void 0&&this._clearWatch()}else{if(q.code===3&&is)return;this._setErrorState()}this._watchState!==\"OFF\"&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new i.Event(\"error\",q)),this._finish()}},D.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},D.prototype._setupUI=function(q){var K=this;if(this._container.addEventListener(\"contextmenu\",function(we){return we.preventDefault()}),this._geolocateButton=o.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),o.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",q===!1){i.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var de=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=de,this._geolocateButton.setAttribute(\"aria-label\",de)}else{var ne=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=ne,this._geolocateButton.setAttribute(\"aria-label\",ne)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=o.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new Ki(this._dotElement),this._circleElement=o.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Ki({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(we){var Ue=we.originalEvent&&we.originalEvent.type===\"resize\";!we.geolocateSource&&K._watchState===\"ACTIVE_LOCK\"&&!Ue&&(K._watchState=\"BACKGROUND\",K._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),K._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),K.fire(new i.Event(\"trackuserlocationend\")))})},D.prototype.trigger=function(){if(!this._setup)return i.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 i.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":ba--,is=!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 i.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 i.Event(\"trackuserlocationstart\"));break}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\");break}if(this._watchState===\"OFF\"&&this._geolocationWatchID!==void 0)this._clearWatch();else if(this._geolocationWatchID===void 0){this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),ba++;var q;ba>1?(q={maximumAge:6e5,timeout:0},is=!0):(q=this.options.positionOptions,is=!1),this._geolocationWatchID=i.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,q)}}else i.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},D.prototype._clearWatch=function(){i.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)},D}(i.Evented),Va={maxWidth:100,unit:\"metric\"},Ml=function(D){this.options=i.extend({},Va,D),i.bindAll([\"_onMove\",\"setUnit\"],this)};Ml.prototype.getDefaultPosition=function(){return\"bottom-left\"},Ml.prototype._onMove=function(){zo(this._map,this._container,this.options)},Ml.prototype.onAdd=function(D){return this._map=D,this._container=o.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",D.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},Ml.prototype.onRemove=function(){o.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Ml.prototype.setUnit=function(D){this.options.unit=D,zo(this._map,this._container,this.options)};function zo(Y,D,J){var q=J&&J.maxWidth||100,K=Y._container.clientHeight/2,de=Y.unproject([0,K]),ne=Y.unproject([q,K]),we=de.distanceTo(ne);if(J&&J.unit===\"imperial\"){var Ue=3.2808*we;if(Ue>5280){var ft=Ue/5280;Qs(D,q,ft,Y._getUIString(\"ScaleControl.Miles\"))}else Qs(D,q,Ue,Y._getUIString(\"ScaleControl.Feet\"))}else if(J&&J.unit===\"nautical\"){var Xt=we/1852;Qs(D,q,Xt,Y._getUIString(\"ScaleControl.NauticalMiles\"))}else we>=1e3?Qs(D,q,we/1e3,Y._getUIString(\"ScaleControl.Kilometers\")):Qs(D,q,we,Y._getUIString(\"ScaleControl.Meters\"))}function Qs(Y,D,J,q){var K=Vl(J),de=K/J;Y.style.width=D*de+\"px\",Y.innerHTML=K+\"&nbsp;\"+q}function al(Y){var D=Math.pow(10,Math.ceil(-Math.log(Y)/Math.LN10));return Math.round(Y*D)/D}function Vl(Y){var D=Math.pow(10,(\"\"+Math.floor(Y)).length-1),J=Y/D;return J=J>=10?10:J>=5?5:J>=3?3:J>=2?2:J>=1?1:al(J),D*J}var ss=function(D){this._fullscreen=!1,D&&D.container&&(D.container instanceof i.window.HTMLElement?this._container=D.container:i.warnOnce(\"Full screen control 'container' must be a DOM element.\")),i.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in i.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in i.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in i.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in i.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};ss.prototype.onAdd=function(D){return this._map=D,this._container||(this._container=this._map.getContainer()),this._controlContainer=o.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",i.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},ss.prototype.onRemove=function(){o.remove(this._controlContainer),this._map=null,i.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},ss.prototype._checkFullscreenSupport=function(){return!!(i.window.document.fullscreenEnabled||i.window.document.mozFullScreenEnabled||i.window.document.msFullscreenEnabled||i.window.document.webkitFullscreenEnabled)},ss.prototype._setupUI=function(){var D=this._fullscreenButton=o.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);o.create(\"span\",\"mapboxgl-ctrl-icon\",D).setAttribute(\"aria-hidden\",!0),D.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),i.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},ss.prototype._updateTitle=function(){var D=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",D),this._fullscreenButton.title=D},ss.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},ss.prototype._isFullscreen=function(){return this._fullscreen},ss.prototype._changeIcon=function(){var D=i.window.document.fullscreenElement||i.window.document.mozFullScreenElement||i.window.document.webkitFullscreenElement||i.window.document.msFullscreenElement;D===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},ss.prototype._onClickFullscreen=function(){this._isFullscreen()?i.window.document.exitFullscreen?i.window.document.exitFullscreen():i.window.document.mozCancelFullScreen?i.window.document.mozCancelFullScreen():i.window.document.msExitFullscreen?i.window.document.msExitFullscreen():i.window.document.webkitCancelFullScreen&&i.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 Vs={closeButton:!0,closeOnClick:!0,focusAfterOpen:!0,className:\"\",maxWidth:\"240px\"},Ys=[\"a[href]\",\"[tabindex]:not([tabindex='-1'])\",\"[contenteditable]:not([contenteditable='false'])\",\"button:not([disabled])\",\"input:not([disabled])\",\"select:not([disabled])\",\"textarea:not([disabled])\"].join(\", \"),wa=function(Y){function D(J){Y.call(this),this.options=i.extend(Object.create(Vs),J),i.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.addTo=function(q){return this._map&&this.remove(),this._map=q,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 i.Event(\"open\")),this},D.prototype.isOpen=function(){return!!this._map},D.prototype.remove=function(){return this._content&&o.remove(this._content),this._container&&(o.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new i.Event(\"close\")),this},D.prototype.getLngLat=function(){return this._lngLat},D.prototype.setLngLat=function(q){return this._lngLat=i.LngLat.convert(q),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},D.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},D.prototype.getElement=function(){return this._container},D.prototype.setText=function(q){return this.setDOMContent(i.window.document.createTextNode(q))},D.prototype.setHTML=function(q){var K=i.window.document.createDocumentFragment(),de=i.window.document.createElement(\"body\"),ne;for(de.innerHTML=q;ne=de.firstChild,!!ne;)K.appendChild(ne);return this.setDOMContent(K)},D.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},D.prototype.setMaxWidth=function(q){return this.options.maxWidth=q,this._update(),this},D.prototype.setDOMContent=function(q){if(this._content)for(;this._content.hasChildNodes();)this._content.firstChild&&this._content.removeChild(this._content.firstChild);else this._content=o.create(\"div\",\"mapboxgl-popup-content\",this._container);return this._content.appendChild(q),this._createCloseButton(),this._update(),this._focusFirstElement(),this},D.prototype.addClassName=function(q){this._container&&this._container.classList.add(q)},D.prototype.removeClassName=function(q){this._container&&this._container.classList.remove(q)},D.prototype.setOffset=function(q){return this.options.offset=q,this._update(),this},D.prototype.toggleClassName=function(q){if(this._container)return this._container.classList.toggle(q)},D.prototype._createCloseButton=function(){this.options.closeButton&&(this._closeButton=o.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))},D.prototype._onMouseUp=function(q){this._update(q.point)},D.prototype._onMouseMove=function(q){this._update(q.point)},D.prototype._onDrag=function(q){this._update(q.point)},D.prototype._update=function(q){var K=this,de=this._lngLat||this._trackPointer;if(!(!this._map||!de||!this._content)&&(this._container||(this._container=o.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=o.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach(function(Ve){return K._container.classList.add(Ve)}),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=pn(this._lngLat,this._pos,this._map.transform)),!(this._trackPointer&&!q))){var ne=this._pos=this._trackPointer&&q?q:this._map.project(this._lngLat),we=this.options.anchor,Ue=ol(this.options.offset);if(!we){var ft=this._container.offsetWidth,Xt=this._container.offsetHeight,hr;ne.y+Ue.bottom.y<Xt?hr=[\"top\"]:ne.y>this._map.transform.height-Xt?hr=[\"bottom\"]:hr=[],ne.x<ft/2?hr.push(\"left\"):ne.x>this._map.transform.width-ft/2&&hr.push(\"right\"),hr.length===0?we=\"bottom\":we=hr.join(\"-\")}var qt=ne.add(Ue[we]).round();o.setTransform(this._container,Vn[we]+\" translate(\"+qt.x+\"px,\"+qt.y+\"px)\"),na(this._container,we,\"popup\")}},D.prototype._focusFirstElement=function(){if(!(!this.options.focusAfterOpen||!this._container)){var q=this._container.querySelector(Ys);q&&q.focus()}},D.prototype._onClose=function(){this.remove()},D}(i.Evented);function ol(Y){if(Y)if(typeof Y==\"number\"){var D=Math.round(Math.sqrt(.5*Math.pow(Y,2)));return{center:new i.Point(0,0),top:new i.Point(0,Y),\"top-left\":new i.Point(D,D),\"top-right\":new i.Point(-D,D),bottom:new i.Point(0,-Y),\"bottom-left\":new i.Point(D,-D),\"bottom-right\":new i.Point(-D,-D),left:new i.Point(Y,0),right:new i.Point(-Y,0)}}else if(Y instanceof i.Point||Array.isArray(Y)){var J=i.Point.convert(Y);return{center:J,top:J,\"top-left\":J,\"top-right\":J,bottom:J,\"bottom-left\":J,\"bottom-right\":J,left:J,right:J}}else return{center:i.Point.convert(Y.center||[0,0]),top:i.Point.convert(Y.top||[0,0]),\"top-left\":i.Point.convert(Y[\"top-left\"]||[0,0]),\"top-right\":i.Point.convert(Y[\"top-right\"]||[0,0]),bottom:i.Point.convert(Y.bottom||[0,0]),\"bottom-left\":i.Point.convert(Y[\"bottom-left\"]||[0,0]),\"bottom-right\":i.Point.convert(Y[\"bottom-right\"]||[0,0]),left:i.Point.convert(Y.left||[0,0]),right:i.Point.convert(Y.right||[0,0])};else return ol(new i.Point(0,0))}var io={version:i.version,supported:a,setRTLTextPlugin:i.setRTLTextPlugin,getRTLTextPluginStatus:i.getRTLTextPluginStatus,Map:li,NavigationControl:Vi,GeolocateControl:Zs,AttributionControl:en,ScaleControl:Ml,FullscreenControl:ss,Popup:wa,Marker:Ki,Style:yu,LngLat:i.LngLat,LngLatBounds:i.LngLatBounds,Point:i.Point,MercatorCoordinate:i.MercatorCoordinate,Evented:i.Evented,config:i.config,prewarm:ua,clearPrewarmedResources:ma,get accessToken(){return i.config.ACCESS_TOKEN},set accessToken(Y){i.config.ACCESS_TOKEN=Y},get baseApiUrl(){return i.config.API_URL},set baseApiUrl(Y){i.config.API_URL=Y},get workerCount(){return fn.workerCount},set workerCount(Y){fn.workerCount=Y},get maxParallelImageRequests(){return i.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(Y){i.config.MAX_PARALLEL_IMAGE_REQUESTS=Y},clearStorage:function(D){i.clearTileCache(D)},workerUrl:\"\"};return io}),r})});var fGe=ye((_xr,cGe)=>{\"use strict\";var iw=Dr(),Fjt=ru().sanitizeHTML,zjt=iJ(),sGe=c1();function lGe(e,t){this.subplot=e,this.uid=e.uid+\"-\"+t,this.index=t,this.idSource=\"source-\"+this.uid,this.idLayer=sGe.layoutLayerPrefix+this.uid,this.sourceType=null,this.source=null,this.layerType=null,this.below=null,this.visible=!1}var ig=lGe.prototype;ig.update=function(t){this.visible?this.needsNewImage(t)?this.updateImage(t):this.needsNewSource(t)?(this.removeLayer(),this.updateSource(t),this.updateLayer(t)):this.needsNewLayer(t)?this.updateLayer(t):this.updateStyle(t):(this.updateSource(t),this.updateLayer(t)),this.visible=$z(t)};ig.needsNewImage=function(e){var t=this.subplot.map;return t.getSource(this.idSource)&&this.sourceType===\"image\"&&e.sourcetype===\"image\"&&(this.source!==e.source||JSON.stringify(this.coordinates)!==JSON.stringify(e.coordinates))};ig.needsNewSource=function(e){return this.sourceType!==e.sourcetype||JSON.stringify(this.source)!==JSON.stringify(e.source)||this.layerType!==e.type};ig.needsNewLayer=function(e){return this.layerType!==e.type||this.below!==this.subplot.belowLookup[\"layout-\"+this.index]};ig.lookupBelow=function(){return this.subplot.belowLookup[\"layout-\"+this.index]};ig.updateImage=function(e){var t=this.subplot.map;t.getSource(this.idSource).updateImage({url:e.source,coordinates:e.coordinates});var r=this.findFollowingMapboxLayerId(this.lookupBelow());r!==null&&this.subplot.map.moveLayer(this.idLayer,r)};ig.updateSource=function(e){var t=this.subplot.map;if(t.getSource(this.idSource)&&t.removeSource(this.idSource),this.sourceType=e.sourcetype,this.source=e.source,!!$z(e)){var r=Ojt(e);t.addSource(this.idSource,r)}};ig.findFollowingMapboxLayerId=function(e){if(e===\"traces\")for(var t=this.subplot.getMapLayers(),r=0;r<t.length;r++){var n=t[r].id;if(typeof n==\"string\"&&n.indexOf(sGe.traceLayerPrefix)===0){e=n;break}}return e};ig.updateLayer=function(e){var t=this.subplot,r=uGe(e),n=this.lookupBelow(),i=this.findFollowingMapboxLayerId(n);this.removeLayer(),$z(e)&&t.addLayer({id:this.idLayer,source:this.idSource,\"source-layer\":e.sourcelayer||\"\",type:e.type,minzoom:e.minzoom,maxzoom:e.maxzoom,layout:r.layout,paint:r.paint},i),this.layerType=e.type,this.below=n};ig.updateStyle=function(e){if($z(e)){var t=uGe(e);this.subplot.setOptions(this.idLayer,\"setLayoutProperty\",t.layout),this.subplot.setOptions(this.idLayer,\"setPaintProperty\",t.paint)}};ig.removeLayer=function(){var e=this.subplot.map;e.getLayer(this.idLayer)&&e.removeLayer(this.idLayer)};ig.dispose=function(){var e=this.subplot.map;e.getLayer(this.idLayer)&&e.removeLayer(this.idLayer),e.getSource(this.idSource)&&e.removeSource(this.idSource)};function $z(e){if(!e.visible)return!1;var t=e.source;if(Array.isArray(t)&&t.length>0){for(var r=0;r<t.length;r++)if(typeof t[r]!=\"string\"||t[r].length===0)return!1;return!0}return iw.isPlainObject(t)||typeof t==\"string\"&&t.length>0}function uGe(e){var t={},r={};switch(e.type){case\"circle\":iw.extendFlat(r,{\"circle-radius\":e.circle.radius,\"circle-color\":e.color,\"circle-opacity\":e.opacity});break;case\"line\":iw.extendFlat(r,{\"line-width\":e.line.width,\"line-color\":e.color,\"line-opacity\":e.opacity,\"line-dasharray\":e.line.dash});break;case\"fill\":iw.extendFlat(r,{\"fill-color\":e.color,\"fill-outline-color\":e.fill.outlinecolor,\"fill-opacity\":e.opacity});break;case\"symbol\":var n=e.symbol,i=zjt(n.textposition,n.iconsize);iw.extendFlat(t,{\"icon-image\":n.icon+\"-15\",\"icon-size\":n.iconsize/10,\"text-field\":n.text,\"text-size\":n.textfont.size,\"text-anchor\":i.anchor,\"text-offset\":i.offset,\"symbol-placement\":n.placement}),iw.extendFlat(r,{\"icon-color\":e.color,\"text-color\":n.textfont.color,\"text-opacity\":e.opacity});break;case\"raster\":iw.extendFlat(r,{\"raster-fade-duration\":0,\"raster-opacity\":e.opacity});break}return{layout:t,paint:r}}function Ojt(e){var t=e.sourcetype,r=e.source,n={type:t},i;return t===\"geojson\"?i=\"data\":t===\"vector\"?i=typeof r==\"string\"?\"url\":\"tiles\":t===\"raster\"?(i=\"tiles\",n.tileSize=256):t===\"image\"&&(i=\"url\",n.coordinates=e.coordinates),n[i]=r,e.sourceattribution&&(n.attribution=Fjt(e.sourceattribution)),n}cGe.exports=function(t,r,n){var i=new lGe(t,r);return i.update(n),i}});var xGe=ye((xxr,_Ge)=>{\"use strict\";var cJ=uJ(),fJ=Dr(),pGe=ix(),hGe=qa(),qjt=ho(),Bjt=yv(),Qz=vf(),gGe=Eg(),Njt=gGe.drawMode,Ujt=gGe.selectMode,Vjt=Of().prepSelect,Gjt=Of().clearOutline,Hjt=Of().clearSelectionsCache,jjt=Of().selectOnClick,_x=c1(),Wjt=fGe();function mGe(e,t){this.id=t,this.gd=e;var r=e._fullLayout,n=e._context;this.container=r._glcontainer.node(),this.isStatic=n.staticPlot,this.uid=r._uid+\"-\"+this.id,this.div=null,this.xaxis=null,this.yaxis=null,this.createFramework(r),this.map=null,this.accessToken=null,this.styleObj=null,this.traceHash={},this.layerList=[],this.belowLookup={},this.dragging=!1,this.wheeling=!1}var Nh=mGe.prototype;Nh.plot=function(e,t,r){var n=this,i=t[n.id];n.map&&i.accesstoken!==n.accessToken&&(n.map.remove(),n.map=null,n.styleObj=null,n.traceHash={},n.layerList=[]);var a;n.map?a=new Promise(function(o,s){n.updateMap(e,t,o,s)}):a=new Promise(function(o,s){n.createMap(e,t,o,s)}),r.push(a)};Nh.createMap=function(e,t,r,n){var i=this,a=t[i.id],o=i.styleObj=yGe(a.style,t);i.accessToken=a.accesstoken;var s=a.bounds,l=s?[[s.west,s.south],[s.east,s.north]]:null,u=i.map=new cJ.Map({container:i.div,style:o.style,center:hJ(a.center),zoom:a.zoom,bearing:a.bearing,pitch:a.pitch,maxBounds:l,interactive:!i.isStatic,preserveDrawingBuffer:i.isStatic,doubleClickZoom:!1,boxZoom:!1,attributionControl:!1}).addControl(new cJ.AttributionControl({compact:!0}));u._canvas.style.left=\"0px\",u._canvas.style.top=\"0px\",i.rejectOnError(n),i.isStatic||i.initFx(e,t);var c=[];c.push(new Promise(function(f){u.once(\"load\",f)})),c=c.concat(pGe.fetchTraceGeoData(e)),Promise.all(c).then(function(){i.fillBelowLookup(e,t),i.updateData(e),i.updateLayout(t),i.resolveOnRender(r)}).catch(n)};Nh.updateMap=function(e,t,r,n){var i=this,a=i.map,o=t[this.id];i.rejectOnError(n);var s=[],l=yGe(o.style,t);JSON.stringify(i.styleObj)!==JSON.stringify(l)&&(i.styleObj=l,a.setStyle(l.style),i.traceHash={},s.push(new Promise(function(u){a.once(\"styledata\",u)}))),s=s.concat(pGe.fetchTraceGeoData(e)),Promise.all(s).then(function(){i.fillBelowLookup(e,t),i.updateData(e),i.updateLayout(t),i.resolveOnRender(r)}).catch(n)};Nh.fillBelowLookup=function(e,t){var r=t[this.id],n=r.layers,i,a,o=this.belowLookup={},s=!1;for(i=0;i<e.length;i++){var l=e[i][0].trace,u=l._module;typeof l.below==\"string\"?a=l.below:u.getBelow&&(a=u.getBelow(l,this)),a===\"\"&&(s=!0),o[\"trace-\"+l.uid]=a||\"\"}for(i=0;i<n.length;i++){var c=n[i];typeof c.below==\"string\"?a=c.below:s?a=\"traces\":a=\"\",o[\"layout-\"+i]=a}var f={},h,d;for(h in o)a=o[h],f[a]?f[a].push(h):f[a]=[h];for(a in f){var v=f[a];if(v.length>1)for(i=0;i<v.length;i++)h=v[i],h.indexOf(\"trace-\")===0?(d=h.split(\"trace-\")[1],this.traceHash[d]&&(this.traceHash[d].below=null)):h.indexOf(\"layout-\")===0&&(d=h.split(\"layout-\")[1],this.layerList[d]&&(this.layerList[d].below=null))}};var dGe={choroplethmapbox:0,densitymapbox:1,scattermapbox:2};Nh.updateData=function(e){var t=this.traceHash,r,n,i,a,o=e.slice().sort(function(f,h){return dGe[f[0].trace.type]-dGe[h[0].trace.type]});for(i=0;i<o.length;i++){var s=o[i];n=s[0].trace,r=t[n.uid];var l=!1;r&&(r.type===n.type?(r.update(s),l=!0):r.dispose()),!l&&n._module&&(t[n.uid]=n._module.plot(this,s))}var u=Object.keys(t);e:for(i=0;i<u.length;i++){var c=u[i];for(a=0;a<e.length;a++)if(n=e[a][0].trace,c===n.uid)continue e;r=t[c],r.dispose(),delete t[c]}};Nh.updateLayout=function(e){var t=this.map,r=e[this.id];!this.dragging&&!this.wheeling&&(t.setCenter(hJ(r.center)),t.setZoom(r.zoom),t.setBearing(r.bearing),t.setPitch(r.pitch)),this.updateLayers(e),this.updateFramework(e),this.updateFx(e),this.map.resize(),this.gd._context._scrollZoom.mapbox?t.scrollZoom.enable():t.scrollZoom.disable()};Nh.resolveOnRender=function(e){var t=this.map;t.on(\"render\",function r(){t.loaded()&&(t.off(\"render\",r),setTimeout(e,10))})};Nh.rejectOnError=function(e){var t=this.map;function r(){e(new Error(_x.mapOnErrorMsg))}t.once(\"error\",r),t.once(\"style.error\",r),t.once(\"source.error\",r),t.once(\"tile.error\",r),t.once(\"layer.error\",r)};Nh.createFramework=function(e){var t=this,r=t.div=document.createElement(\"div\");r.id=t.uid,r.style.position=\"absolute\",t.container.appendChild(r),t.xaxis={_id:\"x\",c2p:function(n){return t.project(n).x}},t.yaxis={_id:\"y\",c2p:function(n){return t.project(n).y}},t.updateFramework(e),t.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},qjt.setConvert(t.mockAxis,e)};Nh.initFx=function(e,t){var r=this,n=r.gd,i=r.map;i.on(\"moveend\",function(s){if(r.map){var l=n._fullLayout;if(s.originalEvent||r.wheeling){var u=l[r.id];hGe.call(\"_storeDirectGUIEdit\",n.layout,l._preGUI,r.getViewEdits(u));var c=r.getView();u._input.center=u.center=c.center,u._input.zoom=u.zoom=c.zoom,u._input.bearing=u.bearing=c.bearing,u._input.pitch=u.pitch=c.pitch,n.emit(\"plotly_relayout\",r.getViewEditsWithDerived(c))}s.originalEvent&&s.originalEvent.type===\"mouseup\"?r.dragging=!1:r.wheeling&&(r.wheeling=!1),l._rehover&&l._rehover()}}),i.on(\"wheel\",function(){r.wheeling=!0}),i.on(\"mousemove\",function(s){var l=r.div.getBoundingClientRect(),u=[s.originalEvent.offsetX,s.originalEvent.offsetY];s.target.getBoundingClientRect=function(){return l},r.xaxis.p2c=function(){return i.unproject(u).lng},r.yaxis.p2c=function(){return i.unproject(u).lat},n._fullLayout._rehover=function(){n._fullLayout._hoversubplot===r.id&&n._fullLayout[r.id]&&Qz.hover(n,s,r.id)},Qz.hover(n,s,r.id),n._fullLayout._hoversubplot=r.id});function a(){Qz.loneUnhover(t._hoverlayer)}i.on(\"dragstart\",function(){r.dragging=!0,a()}),i.on(\"zoomstart\",a),i.on(\"mouseout\",function(){n._fullLayout._hoversubplot=null});function o(){var s=r.getView();n.emit(\"plotly_relayouting\",r.getViewEditsWithDerived(s))}i.on(\"drag\",o),i.on(\"zoom\",o),i.on(\"dblclick\",function(){var s=n._fullLayout[r.id];hGe.call(\"_storeDirectGUIEdit\",n.layout,n._fullLayout._preGUI,r.getViewEdits(s));var l=r.viewInitial;i.setCenter(hJ(l.center)),i.setZoom(l.zoom),i.setBearing(l.bearing),i.setPitch(l.pitch);var u=r.getView();s._input.center=s.center=u.center,s._input.zoom=s.zoom=u.zoom,s._input.bearing=s.bearing=u.bearing,s._input.pitch=s.pitch=u.pitch,n.emit(\"plotly_doubleclick\",null),n.emit(\"plotly_relayout\",r.getViewEditsWithDerived(u))}),r.clearOutline=function(){Hjt(r.dragOptions),Gjt(r.dragOptions.gd)},r.onClickInPanFn=function(s){return function(l){var u=n._fullLayout.clickmode;u.indexOf(\"select\")>-1&&jjt(l.originalEvent,n,[r.xaxis],[r.yaxis],r.id,s),u.indexOf(\"event\")>-1&&Qz.click(n,l.originalEvent)}}};Nh.updateFx=function(e){var t=this,r=t.map,n=t.gd;if(t.isStatic)return;function i(l){var u=t.map.unproject(l);return[u.lng,u.lat]}var a=e.dragmode,o;o=function(l,u){if(u.isRect){var c=l.range={};c[t.id]=[i([u.xmin,u.ymin]),i([u.xmax,u.ymax])]}else{var f=l.lassoPoints={};f[t.id]=u.map(i)}};var s=t.dragOptions;t.dragOptions=fJ.extendDeep(s||{},{dragmode:e.dragmode,element:t.div,gd:n,plotinfo:{id:t.id,domain:e[t.id].domain,xaxis:t.xaxis,yaxis:t.yaxis,fillRangeItems:o},xaxes:[t.xaxis],yaxes:[t.yaxis],subplot:t.id}),r.off(\"click\",t.onClickInPanHandler),Ujt(a)||Njt(a)?(r.dragPan.disable(),r.on(\"zoomstart\",t.clearOutline),t.dragOptions.prepFn=function(l,u,c){Vjt(l,u,c,t.dragOptions,a)},Bjt.init(t.dragOptions)):(r.dragPan.enable(),r.off(\"zoomstart\",t.clearOutline),t.div.onmousedown=null,t.div.ontouchstart=null,t.div.removeEventListener(\"touchstart\",t.div._ontouchstart),t.onClickInPanHandler=t.onClickInPanFn(t.dragOptions),r.on(\"click\",t.onClickInPanHandler))};Nh.updateFramework=function(e){var t=e[this.id].domain,r=e._size,n=this.div.style;n.width=r.w*(t.x[1]-t.x[0])+\"px\",n.height=r.h*(t.y[1]-t.y[0])+\"px\",n.left=r.l+t.x[0]*r.w+\"px\",n.top=r.t+(1-t.y[1])*r.h+\"px\",this.xaxis._offset=r.l+t.x[0]*r.w,this.xaxis._length=r.w*(t.x[1]-t.x[0]),this.yaxis._offset=r.t+(1-t.y[1])*r.h,this.yaxis._length=r.h*(t.y[1]-t.y[0])};Nh.updateLayers=function(e){var t=e[this.id],r=t.layers,n=this.layerList,i;if(r.length!==n.length){for(i=0;i<n.length;i++)n[i].dispose();for(n=this.layerList=[],i=0;i<r.length;i++)n.push(Wjt(this,i,r[i]))}else for(i=0;i<r.length;i++)n[i].update(r[i])};Nh.destroy=function(){this.map&&(this.map.remove(),this.map=null,this.container.removeChild(this.div))};Nh.toImage=function(){return this.map.stop(),this.map.getCanvas().toDataURL()};Nh.setOptions=function(e,t,r){for(var n in r)this.map[t](e,n,r[n])};Nh.getMapLayers=function(){return this.map.getStyle().layers};Nh.addLayer=function(e,t){var r=this.map;if(typeof t==\"string\"){if(t===\"\"){r.addLayer(e,t);return}for(var n=this.getMapLayers(),i=0;i<n.length;i++)if(t===n[i].id){r.addLayer(e,t);return}fJ.warn([\"Trying to add layer with *below* value\",t,\"referencing a layer that does not exist\",\"or that does not yet exist.\"].join(\" \"))}r.addLayer(e)};Nh.project=function(e){return this.map.project(new cJ.LngLat(e[0],e[1]))};Nh.getView=function(){var e=this.map,t=e.getCenter(),r=t.lng,n=t.lat,i={lon:r,lat:n},a=e.getCanvas(),o=parseInt(a.style.width),s=parseInt(a.style.height);return{center:i,zoom:e.getZoom(),bearing:e.getBearing(),pitch:e.getPitch(),_derived:{coordinates:[e.unproject([0,0]).toArray(),e.unproject([o,0]).toArray(),e.unproject([o,s]).toArray(),e.unproject([0,s]).toArray()]}}};Nh.getViewEdits=function(e){for(var t=this.id,r=[\"center\",\"zoom\",\"bearing\",\"pitch\"],n={},i=0;i<r.length;i++){var a=r[i];n[t+\".\"+a]=e[a]}return n};Nh.getViewEditsWithDerived=function(e){var t=this.id,r=this.getViewEdits(e);return r[t+\"._derived\"]=e._derived,r};function yGe(e,t){var r={};if(fJ.isPlainObject(e))r.id=e.id,r.style=e;else if(typeof e==\"string\")if(r.id=e,_x.styleValuesMapbox.indexOf(e)!==-1)r.style=vGe(e);else if(_x.stylesNonMapbox[e]){r.style=_x.stylesNonMapbox[e];var n=r.style.sources[\"plotly-\"+e],i=n?n.tiles:void 0;i&&i[0]&&i[0].slice(-9)===\"?api_key=\"&&(i[0]+=t._mapboxAccessToken)}else r.style=e;else r.id=_x.styleValueDflt,r.style=vGe(_x.styleValueDflt);return r.transition={duration:0,delay:0},r}function vGe(e){return _x.styleUrlPrefix+e+\"-\"+_x.styleUrlSuffix}function hJ(e){return[e.lon,e.lat]}_Ge.exports=mGe});var TGe=ye((bxr,wGe)=>{\"use strict\";var dJ=Dr(),Xjt=k_(),Zjt=Yd(),bGe=Nk();wGe.exports=function(t,r,n){Xjt(t,r,n,{type:\"mapbox\",attributes:bGe,handleDefaults:Yjt,partition:\"y\",accessToken:r._mapboxAccessToken})};function Yjt(e,t,r,n){r(\"accesstoken\",n.accessToken),r(\"style\"),r(\"center.lon\"),r(\"center.lat\"),r(\"zoom\"),r(\"bearing\"),r(\"pitch\");var i=r(\"bounds.west\"),a=r(\"bounds.east\"),o=r(\"bounds.south\"),s=r(\"bounds.north\");(i===void 0||a===void 0||o===void 0||s===void 0)&&delete t.bounds,Zjt(e,t,{name:\"layers\",handleItemDefaults:Kjt}),t._input=e}function Kjt(e,t){function r(l,u){return dJ.coerce(e,t,bGe.layers,l,u)}var n=r(\"visible\");if(n){var i=r(\"sourcetype\"),a=i===\"raster\"||i===\"image\";r(\"source\"),r(\"sourceattribution\"),i===\"vector\"&&r(\"sourcelayer\"),i===\"image\"&&r(\"coordinates\");var o;a&&(o=\"raster\");var s=r(\"type\",o);a&&s!==\"raster\"&&(s=t.type=\"raster\",dJ.log(\"Source types *raster* and *image* must drawn *raster* layer type.\")),r(\"below\"),r(\"color\"),r(\"opacity\"),r(\"minzoom\"),r(\"maxzoom\"),s===\"circle\"&&r(\"circle.radius\"),s===\"line\"&&(r(\"line.width\"),r(\"line.dash\")),s===\"fill\"&&r(\"fill.outlinecolor\"),s===\"symbol\"&&(r(\"symbol.icon\"),r(\"symbol.iconsize\"),r(\"symbol.text\"),dJ.coerceFont(r,\"symbol.textfont\",void 0,{noFontVariant:!0,noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0}),r(\"symbol.textposition\"),r(\"symbol.placement\"))}}});var e7=ye(Np=>{\"use strict\";var AGe=uJ(),rm=Dr(),vJ=rm.strTranslate,Jjt=rm.strScale,$jt=Id().getSubplotCalcData,Qjt=Wp(),eWt=Oa(),SGe=So(),tWt=ru(),rWt=xGe(),xx=\"mapbox\",ey=Np.constants=c1();Np.name=xx;Np.attr=\"subplot\";Np.idRoot=xx;Np.idRegex=Np.attrRegex=rm.counterRegex(xx);var iWt=[\"mapbox subplots and traces are deprecated!\",\"Please consider switching to `map` subplots and traces.\",\"Learn more at: https://plotly.com/python/maplibre-migration/\",\"as well as https://plotly.com/javascript/maplibre-migration/\"].join(\" \");Np.attributes={subplot:{valType:\"subplotid\",dflt:\"mapbox\",editType:\"calc\"}};Np.layoutAttributes=Nk();Np.supplyLayoutDefaults=TGe();var MGe=!0;Np.plot=function(t){MGe&&(MGe=!1,rm.warn(iWt));var r=t._fullLayout,n=t.calcdata,i=r._subplots[xx];if(AGe.version!==ey.requiredVersion)throw new Error(ey.wrongVersionErrorMsg);var a=nWt(t,i);AGe.accessToken=a;for(var o=0;o<i.length;o++){var s=i[o],l=$jt(n,xx,s),u=r[s],c=u._subplot;c||(c=new rWt(t,s),r[s]._subplot=c),c.viewInitial||(c.viewInitial={center:rm.extendFlat({},u.center),zoom:u.zoom,bearing:u.bearing,pitch:u.pitch}),c.plot(l,r,t._promises)}};Np.clean=function(e,t,r,n){for(var i=n._subplots[xx]||[],a=0;a<i.length;a++){var o=i[a];!t[o]&&n[o]._subplot&&n[o]._subplot.destroy()}};Np.toSVG=function(e){for(var t=e._fullLayout,r=t._subplots[xx],n=t._size,i=0;i<r.length;i++){var a=t[r[i]],o=a.domain,s=a._subplot,l=s.toImage(\"png\"),u=t._glimages.append(\"svg:image\");u.attr({xmlns:Qjt.svg,\"xlink:href\":l,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\"});var c=eWt.select(a._subplot.div),f=c.select(\".mapboxgl-ctrl-logo\").node().offsetParent===null;if(!f){var h=t._glimages.append(\"g\");h.attr(\"transform\",vJ(n.l+n.w*o.x[0]+10,n.t+n.h*(1-o.y[0])-31)),h.append(\"path\").attr(\"d\",ey.mapboxLogo.path0).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"}),h.append(\"path\").attr(\"d\",ey.mapboxLogo.path1).style(\"opacity\",.35).style(\"enable-background\",\"new\"),h.append(\"path\").attr(\"d\",ey.mapboxLogo.path2).style(\"opacity\",.35).style(\"enable-background\",\"new\"),h.append(\"polygon\").attr(\"points\",ey.mapboxLogo.polygon).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"})}var d=c.select(\".mapboxgl-ctrl-attrib\").text().replace(\"Improve this map\",\"\"),v=t._glimages.append(\"g\"),_=v.append(\"text\");_.text(d).classed(\"static-attribution\",!0).attr({\"font-size\":12,\"font-family\":\"Arial\",color:\"rgba(0, 0, 0, 0.75)\",\"text-anchor\":\"end\",\"data-unformatted\":d});var b=SGe.bBox(_.node()),p=n.w*(o.x[1]-o.x[0]);if(b.width>p/2){var k=d.split(\"|\").join(\"<br>\");_.text(k).attr(\"data-unformatted\",k).call(tWt.convertToTspans,e),b=SGe.bBox(_.node())}_.attr(\"transform\",vJ(-3,-b.height+8)),v.insert(\"rect\",\".static-attribution\").attr({x:-b.width-6,y:-b.height-3,width:b.width+6,height:b.height+3,fill:\"rgba(255, 255, 255, 0.75)\"});var E=1;b.width+6>p&&(E=p/(b.width+6));var S=[n.l+n.w*o.x[1],n.t+n.h*(1-o.y[0])];v.attr(\"transform\",vJ(S[0],S[1])+Jjt(E))}};function nWt(e,t){var r=e._fullLayout,n=e._context;if(n.mapboxAccessToken===\"\")return\"\";for(var i=[],a=[],o=!1,s=!1,l=0;l<t.length;l++){var u=r[t[l]],c=u.accesstoken;EGe(u.style)&&(c?rm.pushUnique(i,c):(EGe(u._input.style)&&(rm.error(\"Uses Mapbox map style, but did not set an access token.\"),o=!0),s=!0)),c&&rm.pushUnique(a,c)}if(s){var f=o?ey.noAccessTokenErrorMsg:ey.missingStyleErrorMsg;throw rm.error(f),new Error(f)}return i.length?(i.length>1&&rm.warn(ey.multipleTokensErrorMsg),i[0]):(a.length&&rm.log([\"Listed mapbox access token(s)\",a.join(\",\"),\"but did not use a Mapbox map style, ignoring token(s).\"].join(\" \")),\"\")}function EGe(e){return typeof e==\"string\"&&(ey.styleValuesMapbox.indexOf(e)!==-1||e.indexOf(\"mapbox://\")===0||e.indexOf(\"stamen\")===0)}Np.updateFx=function(e){for(var t=e._fullLayout,r=t._subplots[xx],n=0;n<r.length;n++){var i=t[r[n]]._subplot;i.updateFx(t)}}});var CGe=ye((Axr,kGe)=>{\"use strict\";var Txr=[\"*scattermapbox* trace is deprecated!\",\"Please consider switching to the *scattermap* trace type and `map` subplots.\",\"Learn more at: https://plotly.com/python/maplibre-migration/\",\"as well as https://plotly.com/javascript/maplibre-migration/\"].join(\" \");kGe.exports={attributes:Wz(),supplyDefaults:NVe(),colorbar:$d(),formatLabels:rJ(),calc:pF(),plot:eGe(),hoverPoints:Jz().hoverPoints,eventData:nGe(),selectPoints:oGe(),styleOnSelect:function(e,t){if(t){var r=t[0].trace;r._glTrace.update(t)}},moduleType:\"trace\",name:\"scattermapbox\",basePlotModule:e7(),categories:[\"mapbox\",\"gl\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}});var PGe=ye((Sxr,LGe)=>{\"use strict\";LGe.exports=CGe()});var pJ=ye((Mxr,IGe)=>{\"use strict\";var f1=t5(),aWt=Tu(),{hovertemplateAttrs:oWt,templatefallbackAttrs:sWt}=Ll(),lWt=Gl(),bx=Ao().extendFlat;IGe.exports=bx({locations:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},geojson:{valType:\"any\",editType:\"calc\"},featureidkey:bx({},f1.featureidkey,{}),below:{valType:\"string\",editType:\"plot\"},text:f1.text,hovertext:f1.hovertext,marker:{line:{color:bx({},f1.marker.line.color,{editType:\"plot\"}),width:bx({},f1.marker.line.width,{editType:\"plot\"}),editType:\"calc\"},opacity:bx({},f1.marker.opacity,{editType:\"plot\"}),editType:\"calc\"},selected:{marker:{opacity:bx({},f1.selected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},unselected:{marker:{opacity:bx({},f1.unselected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},hoverinfo:f1.hoverinfo,hovertemplate:oWt({},{keys:[\"properties\"]}),hovertemplatefallback:sWt(),showlegend:bx({},lWt.showlegend,{dflt:!1})},aWt(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))});var DGe=ye((Exr,RGe)=>{\"use strict\";var Hk=Dr(),uWt=Qh(),cWt=pJ();RGe.exports=function(t,r,n,i){function a(c,f){return Hk.coerce(t,r,cWt,c,f)}var o=a(\"locations\"),s=a(\"z\"),l=a(\"geojson\");if(!Hk.isArrayOrTypedArray(o)||!o.length||!Hk.isArrayOrTypedArray(s)||!s.length||!(typeof l==\"string\"&&l!==\"\"||Hk.isPlainObject(l))){r.visible=!1;return}a(\"featureidkey\"),r._length=Math.min(o.length,s.length),a(\"below\"),a(\"text\"),a(\"hovertext\"),a(\"hovertemplate\"),a(\"hovertemplatefallback\");var u=a(\"marker.line.width\");u&&a(\"marker.line.color\"),a(\"marker.opacity\"),uWt(t,r,i,a,{prefix:\"\",cLetter:\"z\"}),Hk.coerceSelectionMarkerOpacity(r,a)}});var gJ=ye((kxr,OGe)=>{\"use strict\";var fWt=Eo(),h1=Dr(),hWt=tc(),dWt=So(),vWt=tx().makeBlank,FGe=ix();function pWt(e){var t=e[0].trace,r=t.visible===!0&&t._length!==0,n={layout:{visibility:\"none\"},paint:{}},i={layout:{visibility:\"none\"},paint:{}},a=t._opts={fill:n,line:i,geojson:vWt()};if(!r)return a;var o=FGe.extractTraceFeature(e);if(!o)return a;var s=hWt.makeColorScaleFuncFromTrace(t),l=t.marker,u=l.line||{},c;h1.isArrayOrTypedArray(l.opacity)&&(c=function(k){var E=k.mo;return fWt(E)?+h1.constrain(E,0,1):0});var f;h1.isArrayOrTypedArray(u.color)&&(f=function(k){return k.mlc});var h;h1.isArrayOrTypedArray(u.width)&&(h=function(k){return k.mlw});for(var d=0;d<e.length;d++){var v=e[d],_=v.fOut;if(_){var b=_.properties;b.fc=s(v.z),c&&(b.mo=c(v)),f&&(b.mlc=f(v)),h&&(b.mlw=h(v)),v.ct=b.ct,v._polygons=FGe.feature2polygons(_)}}var p=c?{type:\"identity\",property:\"mo\"}:l.opacity;return h1.extendFlat(n.paint,{\"fill-color\":{type:\"identity\",property:\"fc\"},\"fill-opacity\":p}),h1.extendFlat(i.paint,{\"line-color\":f?{type:\"identity\",property:\"mlc\"}:u.color,\"line-width\":h?{type:\"identity\",property:\"mlw\"}:u.width,\"line-opacity\":p}),n.layout.visibility=\"visible\",i.layout.visibility=\"visible\",a.geojson={type:\"FeatureCollection\",features:o},zGe(e),a}function zGe(e){var t=e[0].trace,r=t._opts,n;if(t.selectedpoints){for(var i=dWt.makeSelectedPointStyleFns(t),a=0;a<e.length;a++){var o=e[a];o.fOut&&(o.fOut.properties.mo2=i.selectedOpacityFn(o))}n={type:\"identity\",property:\"mo2\"}}else n=h1.isArrayOrTypedArray(t.marker.opacity)?{type:\"identity\",property:\"mo\"}:t.marker.opacity;return h1.extendFlat(r.fill.paint,{\"fill-opacity\":n}),h1.extendFlat(r.line.paint,{\"line-opacity\":n}),r}OGe.exports={convert:pWt,convertOnSelect:zGe}});var VGe=ye((Cxr,UGe)=>{\"use strict\";var BGe=gJ().convert,gWt=gJ().convertOnSelect,qGe=c1().traceLayerPrefix;function NGe(e,t){this.type=\"choroplethmapbox\",this.subplot=e,this.uid=t,this.sourceId=\"source-\"+t,this.layerList=[[\"fill\",qGe+t+\"-fill\"],[\"line\",qGe+t+\"-line\"]],this.below=null}var M5=NGe.prototype;M5.update=function(e){this._update(BGe(e)),e[0].trace._glTrace=this};M5.updateOnSelect=function(e){this._update(gWt(e))};M5._update=function(e){var t=this.subplot,r=this.layerList,n=t.belowLookup[\"trace-\"+this.uid];t.map.getSource(this.sourceId).setData(e.geojson),n!==this.below&&(this._removeLayers(),this._addLayers(e,n),this.below=n);for(var i=0;i<r.length;i++){var a=r[i],o=a[0],s=a[1],l=e[o];t.setOptions(s,\"setLayoutProperty\",l.layout),l.layout.visibility===\"visible\"&&t.setOptions(s,\"setPaintProperty\",l.paint)}};M5._addLayers=function(e,t){for(var r=this.subplot,n=this.layerList,i=this.sourceId,a=0;a<n.length;a++){var o=n[a],s=o[0],l=e[s];r.addLayer({type:s,id:o[1],source:i,layout:l.layout,paint:l.paint},t)}};M5._removeLayers=function(){for(var e=this.subplot.map,t=this.layerList,r=t.length-1;r>=0;r--)e.removeLayer(t[r][1])};M5.dispose=function(){var e=this.subplot.map;this._removeLayers(),e.removeSource(this.sourceId)};UGe.exports=function(t,r){var n=r[0].trace,i=new NGe(t,n.uid),a=i.sourceId,o=BGe(r),s=i.below=t.belowLookup[\"trace-\"+n.uid];return t.map.addSource(a,{type:\"geojson\",data:o.geojson}),i._addLayers(o,s),r[0].trace._glTrace=i,i}});var HGe=ye((Pxr,GGe)=>{\"use strict\";var Lxr=[\"*choroplethmapbox* trace is deprecated!\",\"Please consider switching to the *choroplethmap* trace type and `map` subplots.\",\"Learn more at: https://plotly.com/python/maplibre-migration/\",\"as well as https://plotly.com/javascript/maplibre-migration/\"].join(\" \");GGe.exports={attributes:pJ(),supplyDefaults:DGe(),colorbar:S_(),calc:zF(),plot:VGe(),hoverPoints:qF(),eventData:BF(),selectPoints:NF(),styleOnSelect:function(e,t){if(t){var r=t[0].trace;r._glTrace.updateOnSelect(t)}},getBelow:function(e,t){for(var r=t.getMapLayers(),n=r.length-2;n>=0;n--){var i=r[n].id;if(typeof i==\"string\"&&i.indexOf(\"water\")===0){for(var a=n+1;a<r.length;a++)if(i=r[a].id,typeof i==\"string\"&&i.indexOf(\"plotly-\")===-1)return i}}},moduleType:\"trace\",name:\"choroplethmapbox\",basePlotModule:e7(),categories:[\"mapbox\",\"gl\",\"noOpacity\",\"showLegend\"],meta:{hr_name:\"choropleth_mapbox\"}}});var WGe=ye((Ixr,jGe)=>{\"use strict\";jGe.exports=HGe()});var yJ=ye((Rxr,ZGe)=>{\"use strict\";var mWt=Tu(),{hovertemplateAttrs:yWt,templatefallbackAttrs:_Wt}=Ll(),XGe=Gl(),t7=Wz(),mJ=Ao().extendFlat;ZGe.exports=mJ({lon:t7.lon,lat:t7.lat,z:{valType:\"data_array\",editType:\"calc\"},radius:{valType:\"number\",editType:\"plot\",arrayOk:!0,min:1,dflt:30},below:{valType:\"string\",editType:\"plot\"},text:t7.text,hovertext:t7.hovertext,hoverinfo:mJ({},XGe.hoverinfo,{flags:[\"lon\",\"lat\",\"z\",\"text\",\"name\"]}),hovertemplate:yWt(),hovertemplatefallback:_Wt(),showlegend:mJ({},XGe.showlegend,{dflt:!1})},mWt(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))});var KGe=ye((Dxr,YGe)=>{\"use strict\";var xWt=Dr(),bWt=Qh(),wWt=yJ();YGe.exports=function(t,r,n,i){function a(u,c){return xWt.coerce(t,r,wWt,u,c)}var o=a(\"lon\")||[],s=a(\"lat\")||[],l=Math.min(o.length,s.length);if(!l){r.visible=!1;return}r._length=l,a(\"z\"),a(\"radius\"),a(\"below\"),a(\"text\"),a(\"hovertext\"),a(\"hovertemplate\"),a(\"hovertemplatefallback\"),bWt(t,r,i,a,{prefix:\"\",cLetter:\"z\"})}});var QGe=ye((Fxr,$Ge)=>{\"use strict\";var _J=Eo(),TWt=Dr().isArrayOrTypedArray,xJ=fs().BADNUM,AWt=gv(),JGe=Dr()._;$Ge.exports=function(t,r){for(var n=r._length,i=new Array(n),a=r.z,o=TWt(a)&&a.length,s=0;s<n;s++){var l=i[s]={},u=r.lon[s],c=r.lat[s];if(l.lonlat=_J(u)&&_J(c)?[+u,+c]:[xJ,xJ],o){var f=a[s];l.z=_J(f)?f:xJ}}return AWt(t,r,{vals:o?a:[0,1],containerStr:\"\",cLetter:\"z\"}),n&&(i[0].t={labels:{lat:JGe(t,\"lat:\")+\" \",lon:JGe(t,\"lon:\")+\" \"}}),i}});var nHe=ye((zxr,iHe)=>{\"use strict\";var SWt=Eo(),bJ=Dr(),eHe=ka(),tHe=tc(),rHe=fs().BADNUM,MWt=tx().makeBlank;iHe.exports=function(t){var r=t[0].trace,n=r.visible===!0&&r._length!==0,i={layout:{visibility:\"none\"},paint:{}},a=r._opts={heatmap:i,geojson:MWt()};if(!n)return a;var o=[],s,l=r.z,u=r.radius,c=bJ.isArrayOrTypedArray(l)&&l.length,f=bJ.isArrayOrTypedArray(u);for(s=0;s<t.length;s++){var h=t[s],d=h.lonlat;if(d[0]!==rHe){var v={};if(c){var _=h.z;v.z=_!==rHe?_:0}f&&(v.r=SWt(u[s])&&u[s]>0?+u[s]:0),o.push({type:\"Feature\",geometry:{type:\"Point\",coordinates:d},properties:v})}}var b=tHe.extractOpts(r),p=b.reversescale?tHe.flipScale(b.colorscale):b.colorscale,k=p[0][1],E=eHe.opacity(k)<1?k:eHe.addOpacity(k,0),S=[\"interpolate\",[\"linear\"],[\"heatmap-density\"],0,E];for(s=1;s<p.length;s++)S.push(p[s][0],p[s][1]);var L=[\"interpolate\",[\"linear\"],[\"get\",\"z\"],b.min,0,b.max,1];return bJ.extendFlat(a.heatmap.paint,{\"heatmap-weight\":c?L:1/(b.max-b.min),\"heatmap-color\":S,\"heatmap-radius\":f?{type:\"identity\",property:\"r\"}:r.radius,\"heatmap-opacity\":r.opacity}),a.geojson={type:\"FeatureCollection\",features:o},a.heatmap.layout.visibility=\"visible\",a}});var lHe=ye((Oxr,sHe)=>{\"use strict\";var aHe=nHe(),EWt=c1().traceLayerPrefix;function oHe(e,t){this.type=\"densitymapbox\",this.subplot=e,this.uid=t,this.sourceId=\"source-\"+t,this.layerList=[[\"heatmap\",EWt+t+\"-heatmap\"]],this.below=null}var r7=oHe.prototype;r7.update=function(e){var t=this.subplot,r=this.layerList,n=aHe(e),i=t.belowLookup[\"trace-\"+this.uid];t.map.getSource(this.sourceId).setData(n.geojson),i!==this.below&&(this._removeLayers(),this._addLayers(n,i),this.below=i);for(var a=0;a<r.length;a++){var o=r[a],s=o[0],l=o[1],u=n[s];t.setOptions(l,\"setLayoutProperty\",u.layout),u.layout.visibility===\"visible\"&&t.setOptions(l,\"setPaintProperty\",u.paint)}};r7._addLayers=function(e,t){for(var r=this.subplot,n=this.layerList,i=this.sourceId,a=0;a<n.length;a++){var o=n[a],s=o[0],l=e[s];r.addLayer({type:s,id:o[1],source:i,layout:l.layout,paint:l.paint},t)}};r7._removeLayers=function(){for(var e=this.subplot.map,t=this.layerList,r=t.length-1;r>=0;r--)e.removeLayer(t[r][1])};r7.dispose=function(){var e=this.subplot.map;this._removeLayers(),e.removeSource(this.sourceId)};sHe.exports=function(t,r){var n=r[0].trace,i=new oHe(t,n.uid),a=i.sourceId,o=aHe(r),s=i.below=t.belowLookup[\"trace-\"+n.uid];return t.map.addSource(a,{type:\"geojson\",data:o.geojson}),i._addLayers(o,s),i}});var cHe=ye((qxr,uHe)=>{\"use strict\";var kWt=ho(),CWt=Jz().hoverPoints,LWt=Jz().getExtraText;uHe.exports=function(t,r,n){var i=CWt(t,r,n);if(i){var a=i[0],o=a.cd,s=o[0].trace,l=o[a.index];if(delete a.color,\"z\"in l){var u=a.subplot.mockAxis;a.z=l.z,a.zLabel=kWt.tickText(u,u.c2l(l.z),\"hover\").text}return a.extraText=LWt(s,l,o[0].t.labels),[a]}}});var hHe=ye((Bxr,fHe)=>{\"use 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yHe=ye((Gxr,mHe)=>{mHe.exports={version:8,name:\"orto\",metadata:{\"maputnik:renderer\":\"mlgljs\"},center:[1.537786,41.837539],zoom:12,bearing:0,pitch:0,light:{anchor:\"viewport\",color:\"white\",intensity:.4,position:[1.15,45,30]},sources:{ortoEsri:{type:\"raster\",tiles:[\"https://server.arcgisonline.com/ArcGIS/rest/services/World_Imagery/MapServer/tile/{z}/{y}/{x}\"],tileSize:256,maxzoom:18,attribution:\"ESRI &copy; <a 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n7=ye((Xxr,DHe)=>{\"use 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wJ=ye((Zxr,FHe)=>{\"use strict\";var JWt=[\"Metropolis Black Italic\",\"Metropolis Black\",\"Metropolis Bold Italic\",\"Metropolis Bold\",\"Metropolis Extra Bold Italic\",\"Metropolis Extra Bold\",\"Metropolis Extra Light Italic\",\"Metropolis Extra Light\",\"Metropolis Light Italic\",\"Metropolis Light\",\"Metropolis Medium Italic\",\"Metropolis Medium\",\"Metropolis Regular Italic\",\"Metropolis Regular\",\"Metropolis Semi Bold Italic\",\"Metropolis Semi Bold\",\"Metropolis Thin Italic\",\"Metropolis Thin\",\"Open Sans Bold Italic\",\"Open Sans Bold\",\"Open Sans Extrabold Italic\",\"Open Sans Extrabold\",\"Open Sans Italic\",\"Open Sans Light Italic\",\"Open Sans Light\",\"Open Sans Regular\",\"Open Sans Semibold Italic\",\"Open Sans Semibold\",\"Klokantech Noto Sans Bold\",\"Klokantech Noto Sans CJK Bold\",\"Klokantech Noto Sans CJK Regular\",\"Klokantech Noto Sans Italic\",\"Klokantech Noto Sans Regular\"];FHe.exports={isSupportedFont:function(e){return JWt.indexOf(e)!==-1}}});var qHe=ye((Yxr,OHe)=>{\"use strict\";var Xk=Dr(),TJ=Ru(),$Wt=$p(),QWt=R0(),eXt=D0(),tXt=Rg(),zHe=n7(),rXt=wJ().isSupportedFont;OHe.exports=function(t,r,n,i){function a(p,k){return Xk.coerce(t,r,zHe,p,k)}function o(p,k){return Xk.coerce2(t,r,zHe,p,k)}var s=iXt(t,r,a);if(!s){r.visible=!1;return}if(a(\"text\"),a(\"texttemplate\"),a(\"texttemplatefallback\"),a(\"hovertext\"),a(\"hovertemplate\"),a(\"hovertemplatefallback\"),a(\"mode\"),a(\"below\"),TJ.hasMarkers(r)){$Wt(t,r,n,i,a,{noLine:!0,noAngle:!0}),a(\"marker.allowoverlap\"),a(\"marker.angle\");var l=r.marker;l.symbol!==\"circle\"&&(Xk.isArrayOrTypedArray(l.size)&&(l.size=l.size[0]),Xk.isArrayOrTypedArray(l.color)&&(l.color=l.color[0]))}TJ.hasLines(r)&&(QWt(t,r,n,i,a,{noDash:!0}),a(\"connectgaps\"));var u=o(\"cluster.maxzoom\"),c=o(\"cluster.step\"),f=o(\"cluster.color\",r.marker&&r.marker.color||n),h=o(\"cluster.size\"),d=o(\"cluster.opacity\"),v=u!==!1||c!==!1||f!==!1||h!==!1||d!==!1,_=a(\"cluster.enabled\",v);if(_||TJ.hasText(r)){var 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A=A.concat(ku({key:W,value:F,valueSpec:fe.layer,style:R.style,styleSpec:R.styleSpec,validateSpec:R.validateSpec,objectElementValidators:{\"*\":()=>[],type:()=>R.validateSpec({key:`${W}.type`,value:F.type,valueSpec:fe.layer.type,style:R.style,styleSpec:R.styleSpec,validateSpec:R.validateSpec,object:F,objectKey:\"type\"}),filter:Rf,layout:Ke=>ku({layer:F,key:Ke.key,value:Ke.value,style:Ke.style,styleSpec:Ke.styleSpec,validateSpec:Ke.validateSpec,objectElementValidators:{\"*\":ct=>Wl($e({layerType:pe},ct))}}),paint:Ke=>ku({layer:F,key:Ke.key,value:Ke.value,style:Ke.style,styleSpec:Ke.styleSpec,validateSpec:Ke.validateSpec,objectElementValidators:{\"*\":ct=>Xf($e({layerType:pe},ct))}})}})),A}function Zu(R){let A=R.value,F=R.key,W=gs(A);return W!==\"string\"?[new cr(F,A,`string expected, ${W} found`)]:[]}let Oc={promoteId:function({key:R,value:A}){if(gs(A)===\"string\")return Zu({key:R,value:A});{let F=[];for(let W in A)F.push(...Zu({key:`${R}.${W}`,value:A[W]}));return F}}};function 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this.arrayBuffer;let A=this.cells,F=3+this.cells.length+1+1,W=0;for(let pe=0;pe<this.cells.length;pe++)W+=this.cells[pe].length;let re=new Int32Array(F+W+this.keys.length+this.bboxes.length);re[0]=this.extent,re[1]=this.n,re[2]=this.padding;let fe=F;for(let pe=0;pe<A.length;pe++){let ze=A[pe];re[3+pe]=fe,re.set(ze,fe),fe+=ze.length}return re[3+A.length]=fe,re.set(this.keys,fe),fe+=this.keys.length,re[3+A.length+1]=fe,re.set(this.bboxes,fe),fe+=this.bboxes.length,re.buffer}static serialize(A,F){let W=A.toArrayBuffer();return F&&F.push(W),{buffer:W}}static deserialize(A){return new Qi(A.buffer)}}let on={};function Fi(R,A,F={}){if(on[R])throw new Error(`${R} is already 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this.first?(this.first=!1,this.lastIntegerZoom=W,this.lastIntegerZoomTime=0,this.lastZoom=A,this.lastFloorZoom=W,!0):(this.lastFloorZoom>W?(this.lastIntegerZoom=W+1,this.lastIntegerZoomTime=F):this.lastFloorZoom<W&&(this.lastIntegerZoom=W,this.lastIntegerZoomTime=F),A!==this.lastZoom&&(this.lastZoom=A,this.lastFloorZoom=W,!0))}}let Dn={\"Latin-1 Supplement\":R=>R>=128&&R<=255,\"Hangul Jamo\":R=>R>=4352&&R<=4607,Khmer:R=>R>=6016&&R<=6143,\"General Punctuation\":R=>R>=8192&&R<=8303,\"Letterlike Symbols\":R=>R>=8448&&R<=8527,\"Number Forms\":R=>R>=8528&&R<=8591,\"Miscellaneous Technical\":R=>R>=8960&&R<=9215,\"Control Pictures\":R=>R>=9216&&R<=9279,\"Optical Character Recognition\":R=>R>=9280&&R<=9311,\"Enclosed Alphanumerics\":R=>R>=9312&&R<=9471,\"Geometric Shapes\":R=>R>=9632&&R<=9727,\"Miscellaneous Symbols\":R=>R>=9728&&R<=9983,\"Miscellaneous Symbols and Arrows\":R=>R>=11008&&R<=11263,\"Ideographic Description Characters\":R=>R>=12272&&R<=12287,\"CJK Symbols and Punctuation\":R=>R>=12288&&R<=12351,Katakana:R=>R>=12448&&R<=12543,Kanbun:R=>R>=12688&&R<=12703,\"CJK Strokes\":R=>R>=12736&&R<=12783,\"Enclosed CJK Letters and Months\":R=>R>=12800&&R<=13055,\"CJK Compatibility\":R=>R>=13056&&R<=13311,\"Yijing Hexagram Symbols\":R=>R>=19904&&R<=19967,\"Private Use Area\":R=>R>=57344&&R<=63743,\"Vertical Forms\":R=>R>=65040&&R<=65055,\"CJK Compatibility Forms\":R=>R>=65072&&R<=65103,\"Small Form Variants\":R=>R>=65104&&R<=65135,\"Halfwidth and Fullwidth Forms\":R=>R>=65280&&R<=65519};function Ka(R){for(let A of R)if(Ho(A.charCodeAt(0)))return!0;return!1}function bo(R){for(let A of R)if(!as(A.charCodeAt(0)))return!1;return!0}function Xo(R){let A=R.map(F=>{try{return new RegExp(`\\\\p{sc=${F}}`,\"u\").source}catch(W){return null}}).filter(F=>F);return new RegExp(A.join(\"|\"),\"u\")}let Ss=Xo([\"Arab\",\"Dupl\",\"Mong\",\"Ougr\",\"Syrc\"]);function as(R){return!Ss.test(String.fromCodePoint(R))}let ws=Xo([\"Bopo\",\"Hani\",\"Hira\",\"Kana\",\"Kits\",\"Nshu\",\"Tang\",\"Yiii\"]);function Ho(R){return!(R!==746&&R!==747&&(R<4352||!(Dn[\"CJK Compatibility Forms\"](R)&&!(R>=65097&&R<=65103)||Dn[\"CJK Compatibility\"](R)||Dn[\"CJK Strokes\"](R)||!(!Dn[\"CJK Symbols and Punctuation\"](R)||R>=12296&&R<=12305||R>=12308&&R<=12319||R===12336)||Dn[\"Enclosed CJK Letters and Months\"](R)||Dn[\"Ideographic Description Characters\"](R)||Dn.Kanbun(R)||Dn.Katakana(R)&&R!==12540||!(!Dn[\"Halfwidth and Fullwidth Forms\"](R)||R===65288||R===65289||R===65293||R>=65306&&R<=65310||R===65339||R===65341||R===65343||R>=65371&&R<=65503||R===65507||R>=65512&&R<=65519)||!(!Dn[\"Small Form Variants\"](R)||R>=65112&&R<=65118||R>=65123&&R<=65126)||Dn[\"Vertical Forms\"](R)||Dn[\"Yijing Hexagram Symbols\"](R)||new RegExp(\"\\\\p{sc=Cans}\",\"u\").test(String.fromCodePoint(R))||new RegExp(\"\\\\p{sc=Hang}\",\"u\").test(String.fromCodePoint(R))||ws.test(String.fromCodePoint(R)))))}function ml(R){return!(Ho(R)||function(A){return!!(Dn[\"Latin-1 Supplement\"](A)&&(A===167||A===169||A===174||A===177||A===188||A===189||A===190||A===215||A===247)||Dn[\"General Punctuation\"](A)&&(A===8214||A===8224||A===8225||A===8240||A===8241||A===8251||A===8252||A===8258||A===8263||A===8264||A===8265||A===8273)||Dn[\"Letterlike Symbols\"](A)||Dn[\"Number Forms\"](A)||Dn[\"Miscellaneous Technical\"](A)&&(A>=8960&&A<=8967||A>=8972&&A<=8991||A>=8996&&A<=9e3||A===9003||A>=9085&&A<=9114||A>=9150&&A<=9165||A===9167||A>=9169&&A<=9179||A>=9186&&A<=9215)||Dn[\"Control Pictures\"](A)&&A!==9251||Dn[\"Optical Character Recognition\"](A)||Dn[\"Enclosed Alphanumerics\"](A)||Dn[\"Geometric Shapes\"](A)||Dn[\"Miscellaneous Symbols\"](A)&&!(A>=9754&&A<=9759)||Dn[\"Miscellaneous Symbols and Arrows\"](A)&&(A>=11026&&A<=11055||A>=11088&&A<=11097||A>=11192&&A<=11243)||Dn[\"CJK Symbols and Punctuation\"](A)||Dn.Katakana(A)||Dn[\"Private Use Area\"](A)||Dn[\"CJK Compatibility Forms\"](A)||Dn[\"Small Form 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class{constructor(){this.applyArabicShaping=null,this.processBidirectionalText=null,this.processStyledBidirectionalText=null,this.pluginStatus=\"unavailable\",this.pluginURL=null}setState(R){this.pluginStatus=R.pluginStatus,this.pluginURL=R.pluginURL}getState(){return{pluginStatus:this.pluginStatus,pluginURL:this.pluginURL}}setMethods(R){this.applyArabicShaping=R.applyArabicShaping,this.processBidirectionalText=R.processBidirectionalText,this.processStyledBidirectionalText=R.processStyledBidirectionalText}isParsed(){return this.applyArabicShaping!=null&&this.processBidirectionalText!=null&&this.processStyledBidirectionalText!=null}getPluginURL(){return this.pluginURL}getRTLTextPluginStatus(){return this.pluginStatus}};class rs{constructor(A,F){this.zoom=A,F?(this.now=F.now,this.fadeDuration=F.fadeDuration,this.zoomHistory=F.zoomHistory,this.transition=F.transition):(this.now=0,this.fadeDuration=0,this.zoomHistory=new Yn,this.transition={})}isSupportedScript(A){return function(F,W){for(let re of F)if(!va(re.charCodeAt(0),W))return!1;return!0}(A,ys.getRTLTextPluginStatus()===\"loaded\")}crossFadingFactor(){return this.fadeDuration===0?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)}getCrossfadeParameters(){let A=this.zoom,F=A-Math.floor(A),W=this.crossFadingFactor();return A>this.zoomHistory.lastIntegerZoom?{fromScale:2,toScale:1,t:F+(1-F)*W}:{fromScale:.5,toScale:1,t:1-(1-W)*F}}}class $l{constructor(A,F){this.property=A,this.value=F,this.expression=function(W,re){if(jf(W))return new nl(W,re);if(Dc(W)){let fe=_u(W,re);if(fe.result===\"error\")throw new Error(fe.value.map(pe=>`${pe.key}: ${pe.message}`).join(\", \"));return fe.value}{let fe=W;return re.type===\"color\"&&typeof W==\"string\"?fe=nr.parse(W):re.type!==\"padding\"||typeof W!=\"number\"&&!Array.isArray(W)?re.type===\"variableAnchorOffsetCollection\"&&Array.isArray(W)&&(fe=$i.parse(W)):fe=Qr.parse(W),{kind:\"constant\",evaluate:()=>fe}}}(F===void 0?A.specification.default:F,A.specification)}isDataDriven(){return this.expression.kind===\"source\"||this.expression.kind===\"composite\"}possiblyEvaluate(A,F,W){return this.property.possiblyEvaluate(this,A,F,W)}}class Cu{constructor(A){this.property=A,this.value=new $l(A,void 0)}transitioned(A,F){return new Nc(this.property,this.value,F,L({},A.transition,this.transition),A.now)}untransitioned(){return new Nc(this.property,this.value,null,{},0)}}class Yu{constructor(A){this._properties=A,this._values=Object.create(A.defaultTransitionablePropertyValues)}getValue(A){return g(this._values[A].value.value)}setValue(A,F){Object.prototype.hasOwnProperty.call(this._values,A)||(this._values[A]=new Cu(this._values[A].property)),this._values[A].value=new $l(this._values[A].property,F===null?void 0:g(F))}getTransition(A){return g(this._values[A].transition)}setTransition(A,F){Object.prototype.hasOwnProperty.call(this._values,A)||(this._values[A]=new Cu(this._values[A].property)),this._values[A].transition=g(F)||void 0}serialize(){let A={};for(let F of Object.keys(this._values)){let W=this.getValue(F);W!==void 0&&(A[F]=W);let re=this.getTransition(F);re!==void 0&&(A[`${F}-transition`]=re)}return A}transitioned(A,F){let W=new pu(this._properties);for(let re of Object.keys(this._values))W._values[re]=this._values[re].transitioned(A,F._values[re]);return W}untransitioned(){let A=new pu(this._properties);for(let F of Object.keys(this._values))A._values[F]=this._values[F].untransitioned();return A}}class Nc{constructor(A,F,W,re,fe){this.property=A,this.value=F,this.begin=fe+re.delay||0,this.end=this.begin+re.duration||0,A.specification.transition&&(re.delay||re.duration)&&(this.prior=W)}possiblyEvaluate(A,F,W){let re=A.now||0,fe=this.value.possiblyEvaluate(A,F,W),pe=this.prior;if(pe){if(re>this.end)return this.prior=null,fe;if(this.value.isDataDriven())return this.prior=null,fe;if(re<this.begin)return pe.possiblyEvaluate(A,F,W);{let ze=(re-this.begin)/(this.end-this.begin);return this.property.interpolate(pe.possiblyEvaluate(A,F,W),fe,function(Ke){if(Ke<=0)return 0;if(Ke>=1)return 1;let ct=Ke*Ke,Lt=ct*Ke;return 4*(Ke<.5?Lt:3*(Ke-ct)+Lt-.75)}(ze))}}return fe}}class pu{constructor(A){this._properties=A,this._values=Object.create(A.defaultTransitioningPropertyValues)}possiblyEvaluate(A,F,W){let re=new Ac(this._properties);for(let fe of Object.keys(this._values))re._values[fe]=this._values[fe].possiblyEvaluate(A,F,W);return re}hasTransition(){for(let A of Object.keys(this._values))if(this._values[A].prior)return!0;return!1}}class Uc{constructor(A){this._properties=A,this._values=Object.create(A.defaultPropertyValues)}hasValue(A){return this._values[A].value!==void 0}getValue(A){return g(this._values[A].value)}setValue(A,F){this._values[A]=new $l(this._values[A].property,F===null?void 0:g(F))}serialize(){let A={};for(let F of Object.keys(this._values)){let W=this.getValue(F);W!==void 0&&(A[F]=W)}return A}possiblyEvaluate(A,F,W){let re=new Ac(this._properties);for(let fe of Object.keys(this._values))re._values[fe]=this._values[fe].possiblyEvaluate(A,F,W);return re}}class xu{constructor(A,F,W){this.property=A,this.value=F,this.parameters=W}isConstant(){return this.value.kind===\"constant\"}constantOr(A){return this.value.kind===\"constant\"?this.value.value:A}evaluate(A,F,W,re){return this.property.evaluate(this.value,this.parameters,A,F,W,re)}}class Ac{constructor(A){this._properties=A,this._values=Object.create(A.defaultPossiblyEvaluatedValues)}get(A){return this._values[A]}}class Ua{constructor(A){this.specification=A}possiblyEvaluate(A,F){if(A.isDataDriven())throw new Error(\"Value should not be data driven\");return A.expression.evaluate(F)}interpolate(A,F,W){let re=Lo[this.specification.type];return re?re(A,F,W):A}}class oo{constructor(A,F){this.specification=A,this.overrides=F}possiblyEvaluate(A,F,W,re){return new xu(this,A.expression.kind===\"constant\"||A.expression.kind===\"camera\"?{kind:\"constant\",value:A.expression.evaluate(F,null,{},W,re)}:A.expression,F)}interpolate(A,F,W){if(A.value.kind!==\"constant\"||F.value.kind!==\"constant\")return A;if(A.value.value===void 0||F.value.value===void 0)return new xu(this,{kind:\"constant\",value:void 0},A.parameters);let re=Lo[this.specification.type];if(re){let fe=re(A.value.value,F.value.value,W);return new xu(this,{kind:\"constant\",value:fe},A.parameters)}return A}evaluate(A,F,W,re,fe,pe){return A.kind===\"constant\"?A.value:A.evaluate(F,W,re,fe,pe)}}class Vc extends oo{possiblyEvaluate(A,F,W,re){if(A.value===void 0)return new xu(this,{kind:\"constant\",value:void 0},F);if(A.expression.kind===\"constant\"){let fe=A.expression.evaluate(F,null,{},W,re),pe=A.property.specification.type===\"resolvedImage\"&&typeof fe!=\"string\"?fe.name:fe,ze=this._calculate(pe,pe,pe,F);return new xu(this,{kind:\"constant\",value:ze},F)}if(A.expression.kind===\"camera\"){let fe=this._calculate(A.expression.evaluate({zoom:F.zoom-1}),A.expression.evaluate({zoom:F.zoom}),A.expression.evaluate({zoom:F.zoom+1}),F);return new xu(this,{kind:\"constant\",value:fe},F)}return new xu(this,A.expression,F)}evaluate(A,F,W,re,fe,pe){if(A.kind===\"source\"){let ze=A.evaluate(F,W,re,fe,pe);return this._calculate(ze,ze,ze,F)}return A.kind===\"composite\"?this._calculate(A.evaluate({zoom:Math.floor(F.zoom)-1},W,re),A.evaluate({zoom:Math.floor(F.zoom)},W,re),A.evaluate({zoom:Math.floor(F.zoom)+1},W,re),F):A.value}_calculate(A,F,W,re){return re.zoom>re.zoomHistory.lastIntegerZoom?{from:A,to:F}:{from:W,to:F}}interpolate(A){return A}}class hc{constructor(A){this.specification=A}possiblyEvaluate(A,F,W,re){if(A.value!==void 0){if(A.expression.kind===\"constant\"){let fe=A.expression.evaluate(F,null,{},W,re);return this._calculate(fe,fe,fe,F)}return this._calculate(A.expression.evaluate(new rs(Math.floor(F.zoom-1),F)),A.expression.evaluate(new rs(Math.floor(F.zoom),F)),A.expression.evaluate(new rs(Math.floor(F.zoom+1),F)),F)}}_calculate(A,F,W,re){return re.zoom>re.zoomHistory.lastIntegerZoom?{from:A,to:F}:{from:W,to:F}}interpolate(A){return A}}class Ku{constructor(A){this.specification=A}possiblyEvaluate(A,F,W,re){return!!A.expression.evaluate(F,null,{},W,re)}interpolate(){return!1}}class ue{constructor(A){this.properties=A,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[];for(let F in A){let W=A[F];W.specification.overridable&&this.overridableProperties.push(F);let re=this.defaultPropertyValues[F]=new $l(W,void 0),fe=this.defaultTransitionablePropertyValues[F]=new Cu(W);this.defaultTransitioningPropertyValues[F]=fe.untransitioned(),this.defaultPossiblyEvaluatedValues[F]=re.possiblyEvaluate({})}}}Fi(\"DataDrivenProperty\",oo),Fi(\"DataConstantProperty\",Ua),Fi(\"CrossFadedDataDrivenProperty\",Vc),Fi(\"CrossFadedProperty\",hc),Fi(\"ColorRampProperty\",Ku);let w=\"-transition\";class B extends Re{constructor(A,F){if(super(),this.id=A.id,this.type=A.type,this._featureFilter={filter:()=>!0,needGeometry:!1},A.type!==\"custom\"&&(this.metadata=A.metadata,this.minzoom=A.minzoom,this.maxzoom=A.maxzoom,A.type!==\"background\"&&(this.source=A.source,this.sourceLayer=A[\"source-layer\"],this.filter=A.filter),F.layout&&(this._unevaluatedLayout=new Uc(F.layout)),F.paint)){this._transitionablePaint=new Yu(F.paint);for(let W in A.paint)this.setPaintProperty(W,A.paint[W],{validate:!1});for(let W in A.layout)this.setLayoutProperty(W,A.layout[W],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new Ac(F.paint)}}getCrossfadeParameters(){return this._crossfadeParameters}getLayoutProperty(A){return A===\"visibility\"?this.visibility:this._unevaluatedLayout.getValue(A)}setLayoutProperty(A,F,W={}){F!=null&&this._validate(Nn,`layers.${this.id}.layout.${A}`,A,F,W)||(A!==\"visibility\"?this._unevaluatedLayout.setValue(A,F):this.visibility=F)}getPaintProperty(A){return A.endsWith(w)?this._transitionablePaint.getTransition(A.slice(0,-11)):this._transitionablePaint.getValue(A)}setPaintProperty(A,F,W={}){if(F!=null&&this._validate(wn,`layers.${this.id}.paint.${A}`,A,F,W))return!1;if(A.endsWith(w))return this._transitionablePaint.setTransition(A.slice(0,-11),F||void 0),!1;{let re=this._transitionablePaint._values[A],fe=re.property.specification[\"property-type\"]===\"cross-faded-data-driven\",pe=re.value.isDataDriven(),ze=re.value;this._transitionablePaint.setValue(A,F),this._handleSpecialPaintPropertyUpdate(A);let Ke=this._transitionablePaint._values[A].value;return Ke.isDataDriven()||pe||fe||this._handleOverridablePaintPropertyUpdate(A,ze,Ke)}}_handleSpecialPaintPropertyUpdate(A){}_handleOverridablePaintPropertyUpdate(A,F,W){return!1}isHidden(A){return!!(this.minzoom&&A<this.minzoom)||!!(this.maxzoom&&A>=this.maxzoom)||this.visibility===\"none\"}updateTransitions(A){this._transitioningPaint=this._transitionablePaint.transitioned(A,this._transitioningPaint)}hasTransition(){return this._transitioningPaint.hasTransition()}recalculate(A,F){A.getCrossfadeParameters&&(this._crossfadeParameters=A.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(A,void 0,F)),this.paint=this._transitioningPaint.possiblyEvaluate(A,void 0,F)}serialize(){let A={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&&(A.layout=A.layout||{},A.layout.visibility=this.visibility),M(A,(F,W)=>!(F===void 0||W===\"layout\"&&!Object.keys(F).length||W===\"paint\"&&!Object.keys(F).length))}_validate(A,F,W,re,fe={}){return(!fe||fe.validate!==!1)&&Yi(this,A.call(ki,{key:F,layerType:this.type,objectKey:W,value:re,styleSpec:ce,style:{glyphs:!0,sprite:!0}}))}is3D(){return!1}isTileClipped(){return!1}hasOffscreenPass(){return!1}resize(){}isStateDependent(){for(let A in this.paint._values){let F=this.paint.get(A);if(F instanceof xu&&Nl(F.property.specification)&&(F.value.kind===\"source\"||F.value.kind===\"composite\")&&F.value.isStateDependent)return!0}return!1}}let Q={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array};class ee{constructor(A,F){this._structArray=A,this._pos1=F*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8}}class le{constructor(){this.isTransferred=!1,this.capacity=-1,this.resize(0)}static serialize(A,F){return A._trim(),F&&(A.isTransferred=!0,F.push(A.arrayBuffer)),{length:A.length,arrayBuffer:A.arrayBuffer}}static deserialize(A){let F=Object.create(this.prototype);return F.arrayBuffer=A.arrayBuffer,F.length=A.length,F.capacity=A.arrayBuffer.byteLength/F.bytesPerElement,F._refreshViews(),F}_trim(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())}clear(){this.length=0}resize(A){this.reserve(A),this.length=A}reserve(A){if(A>this.capacity){this.capacity=Math.max(A,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);let F=this.uint8;this._refreshViews(),F&&this.uint8.set(F)}}_refreshViews(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")}}function qe(R,A=1){let F=0,W=0;return{members:R.map(re=>{let fe=Q[re.type].BYTES_PER_ELEMENT,pe=F=Xe(F,Math.max(A,fe)),ze=re.components||1;return W=Math.max(W,fe),F+=fe*ze,{name:re.name,type:re.type,components:ze,offset:pe}}),size:Xe(F,Math.max(W,A)),alignment:A}}function Xe(R,A){return Math.ceil(R/A)*A}class ot extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(A,F){let W=this.length;return this.resize(W+1),this.emplace(W,A,F)}emplace(A,F,W){let re=2*A;return this.int16[re+0]=F,this.int16[re+1]=W,A}}ot.prototype.bytesPerElement=4,Fi(\"StructArrayLayout2i4\",ot);class Tt extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(A,F,W){let re=this.length;return this.resize(re+1),this.emplace(re,A,F,W)}emplace(A,F,W,re){let fe=3*A;return this.int16[fe+0]=F,this.int16[fe+1]=W,this.int16[fe+2]=re,A}}Tt.prototype.bytesPerElement=6,Fi(\"StructArrayLayout3i6\",Tt);class Yt extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(A,F,W,re){let fe=this.length;return this.resize(fe+1),this.emplace(fe,A,F,W,re)}emplace(A,F,W,re,fe){let pe=4*A;return this.int16[pe+0]=F,this.int16[pe+1]=W,this.int16[pe+2]=re,this.int16[pe+3]=fe,A}}Yt.prototype.bytesPerElement=8,Fi(\"StructArrayLayout4i8\",Yt);class Kt extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(A,F,W,re,fe,pe){let ze=this.length;return this.resize(ze+1),this.emplace(ze,A,F,W,re,fe,pe)}emplace(A,F,W,re,fe,pe,ze){let Ke=6*A;return this.int16[Ke+0]=F,this.int16[Ke+1]=W,this.int16[Ke+2]=re,this.int16[Ke+3]=fe,this.int16[Ke+4]=pe,this.int16[Ke+5]=ze,A}}Kt.prototype.bytesPerElement=12,Fi(\"StructArrayLayout2i4i12\",Kt);class xr extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(A,F,W,re,fe,pe){let ze=this.length;return this.resize(ze+1),this.emplace(ze,A,F,W,re,fe,pe)}emplace(A,F,W,re,fe,pe,ze){let Ke=4*A,ct=8*A;return this.int16[Ke+0]=F,this.int16[Ke+1]=W,this.uint8[ct+4]=re,this.uint8[ct+5]=fe,this.uint8[ct+6]=pe,this.uint8[ct+7]=ze,A}}xr.prototype.bytesPerElement=8,Fi(\"StructArrayLayout2i4ub8\",xr);class Ir extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(A,F){let W=this.length;return this.resize(W+1),this.emplace(W,A,F)}emplace(A,F,W){let re=2*A;return this.float32[re+0]=F,this.float32[re+1]=W,A}}Ir.prototype.bytesPerElement=8,Fi(\"StructArrayLayout2f8\",Ir);class ve extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(A,F,W,re,fe,pe,ze,Ke,ct,Lt){let $t=this.length;return this.resize($t+1),this.emplace($t,A,F,W,re,fe,pe,ze,Ke,ct,Lt)}emplace(A,F,W,re,fe,pe,ze,Ke,ct,Lt,$t){let fr=10*A;return this.uint16[fr+0]=F,this.uint16[fr+1]=W,this.uint16[fr+2]=re,this.uint16[fr+3]=fe,this.uint16[fr+4]=pe,this.uint16[fr+5]=ze,this.uint16[fr+6]=Ke,this.uint16[fr+7]=ct,this.uint16[fr+8]=Lt,this.uint16[fr+9]=$t,A}}ve.prototype.bytesPerElement=20,Fi(\"StructArrayLayout10ui20\",ve);class be extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(A,F,W,re,fe,pe,ze,Ke,ct,Lt,$t,fr){let mr=this.length;return this.resize(mr+1),this.emplace(mr,A,F,W,re,fe,pe,ze,Ke,ct,Lt,$t,fr)}emplace(A,F,W,re,fe,pe,ze,Ke,ct,Lt,$t,fr,mr){let Pr=12*A;return this.int16[Pr+0]=F,this.int16[Pr+1]=W,this.int16[Pr+2]=re,this.int16[Pr+3]=fe,this.uint16[Pr+4]=pe,this.uint16[Pr+5]=ze,this.uint16[Pr+6]=Ke,this.uint16[Pr+7]=ct,this.int16[Pr+8]=Lt,this.int16[Pr+9]=$t,this.int16[Pr+10]=fr,this.int16[Pr+11]=mr,A}}be.prototype.bytesPerElement=24,Fi(\"StructArrayLayout4i4ui4i24\",be);class De extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(A,F,W){let re=this.length;return this.resize(re+1),this.emplace(re,A,F,W)}emplace(A,F,W,re){let fe=3*A;return this.float32[fe+0]=F,this.float32[fe+1]=W,this.float32[fe+2]=re,A}}De.prototype.bytesPerElement=12,Fi(\"StructArrayLayout3f12\",De);class Be extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)}emplaceBack(A){let F=this.length;return this.resize(F+1),this.emplace(F,A)}emplace(A,F){return this.uint32[1*A+0]=F,A}}Be.prototype.bytesPerElement=4,Fi(\"StructArrayLayout1ul4\",Be);class et extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(A,F,W,re,fe,pe,ze,Ke,ct){let Lt=this.length;return this.resize(Lt+1),this.emplace(Lt,A,F,W,re,fe,pe,ze,Ke,ct)}emplace(A,F,W,re,fe,pe,ze,Ke,ct,Lt){let $t=10*A,fr=5*A;return this.int16[$t+0]=F,this.int16[$t+1]=W,this.int16[$t+2]=re,this.int16[$t+3]=fe,this.int16[$t+4]=pe,this.int16[$t+5]=ze,this.uint32[fr+3]=Ke,this.uint16[$t+8]=ct,this.uint16[$t+9]=Lt,A}}et.prototype.bytesPerElement=20,Fi(\"StructArrayLayout6i1ul2ui20\",et);class We extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(A,F,W,re,fe,pe){let ze=this.length;return this.resize(ze+1),this.emplace(ze,A,F,W,re,fe,pe)}emplace(A,F,W,re,fe,pe,ze){let Ke=6*A;return this.int16[Ke+0]=F,this.int16[Ke+1]=W,this.int16[Ke+2]=re,this.int16[Ke+3]=fe,this.int16[Ke+4]=pe,this.int16[Ke+5]=ze,A}}We.prototype.bytesPerElement=12,Fi(\"StructArrayLayout2i2i2i12\",We);class it extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(A,F,W,re,fe){let pe=this.length;return this.resize(pe+1),this.emplace(pe,A,F,W,re,fe)}emplace(A,F,W,re,fe,pe){let ze=4*A,Ke=8*A;return this.float32[ze+0]=F,this.float32[ze+1]=W,this.float32[ze+2]=re,this.int16[Ke+6]=fe,this.int16[Ke+7]=pe,A}}it.prototype.bytesPerElement=16,Fi(\"StructArrayLayout2f1f2i16\",it);class Ft extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(A,F,W,re,fe,pe){let ze=this.length;return this.resize(ze+1),this.emplace(ze,A,F,W,re,fe,pe)}emplace(A,F,W,re,fe,pe,ze){let Ke=16*A,ct=4*A,Lt=8*A;return this.uint8[Ke+0]=F,this.uint8[Ke+1]=W,this.float32[ct+1]=re,this.float32[ct+2]=fe,this.int16[Lt+6]=pe,this.int16[Lt+7]=ze,A}}Ft.prototype.bytesPerElement=16,Fi(\"StructArrayLayout2ub2f2i16\",Ft);class Ht extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(A,F,W){let re=this.length;return this.resize(re+1),this.emplace(re,A,F,W)}emplace(A,F,W,re){let fe=3*A;return this.uint16[fe+0]=F,this.uint16[fe+1]=W,this.uint16[fe+2]=re,A}}Ht.prototype.bytesPerElement=6,Fi(\"StructArrayLayout3ui6\",Ht);class tr extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(A,F,W,re,fe,pe,ze,Ke,ct,Lt,$t,fr,mr,Pr,zr,ui,yi){let vn=this.length;return this.resize(vn+1),this.emplace(vn,A,F,W,re,fe,pe,ze,Ke,ct,Lt,$t,fr,mr,Pr,zr,ui,yi)}emplace(A,F,W,re,fe,pe,ze,Ke,ct,Lt,$t,fr,mr,Pr,zr,ui,yi,vn){let zi=24*A,un=12*A,Tn=48*A;return this.int16[zi+0]=F,this.int16[zi+1]=W,this.uint16[zi+2]=re,this.uint16[zi+3]=fe,this.uint32[un+2]=pe,this.uint32[un+3]=ze,this.uint32[un+4]=Ke,this.uint16[zi+10]=ct,this.uint16[zi+11]=Lt,this.uint16[zi+12]=$t,this.float32[un+7]=fr,this.float32[un+8]=mr,this.uint8[Tn+36]=Pr,this.uint8[Tn+37]=zr,this.uint8[Tn+38]=ui,this.uint32[un+10]=yi,this.int16[zi+22]=vn,A}}tr.prototype.bytesPerElement=48,Fi(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",tr);class dr extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(A,F,W,re,fe,pe,ze,Ke,ct,Lt,$t,fr,mr,Pr,zr,ui,yi,vn,zi,un,Tn,pa,ro,Vo,Xa,sa,Mo,fo){let lo=this.length;return this.resize(lo+1),this.emplace(lo,A,F,W,re,fe,pe,ze,Ke,ct,Lt,$t,fr,mr,Pr,zr,ui,yi,vn,zi,un,Tn,pa,ro,Vo,Xa,sa,Mo,fo)}emplace(A,F,W,re,fe,pe,ze,Ke,ct,Lt,$t,fr,mr,Pr,zr,ui,yi,vn,zi,un,Tn,pa,ro,Vo,Xa,sa,Mo,fo,lo){let Xn=32*A,Ro=16*A;return this.int16[Xn+0]=F,this.int16[Xn+1]=W,this.int16[Xn+2]=re,this.int16[Xn+3]=fe,this.int16[Xn+4]=pe,this.int16[Xn+5]=ze,this.int16[Xn+6]=Ke,this.int16[Xn+7]=ct,this.uint16[Xn+8]=Lt,this.uint16[Xn+9]=$t,this.uint16[Xn+10]=fr,this.uint16[Xn+11]=mr,this.uint16[Xn+12]=Pr,this.uint16[Xn+13]=zr,this.uint16[Xn+14]=ui,this.uint16[Xn+15]=yi,this.uint16[Xn+16]=vn,this.uint16[Xn+17]=zi,this.uint16[Xn+18]=un,this.uint16[Xn+19]=Tn,this.uint16[Xn+20]=pa,this.uint16[Xn+21]=ro,this.uint16[Xn+22]=Vo,this.uint32[Ro+12]=Xa,this.float32[Ro+13]=sa,this.float32[Ro+14]=Mo,this.uint16[Xn+30]=fo,this.uint16[Xn+31]=lo,A}}dr.prototype.bytesPerElement=64,Fi(\"StructArrayLayout8i15ui1ul2f2ui64\",dr);class Sr extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(A){let F=this.length;return this.resize(F+1),this.emplace(F,A)}emplace(A,F){return this.float32[1*A+0]=F,A}}Sr.prototype.bytesPerElement=4,Fi(\"StructArrayLayout1f4\",Sr);class Or extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(A,F,W){let re=this.length;return this.resize(re+1),this.emplace(re,A,F,W)}emplace(A,F,W,re){let fe=3*A;return this.uint16[6*A+0]=F,this.float32[fe+1]=W,this.float32[fe+2]=re,A}}Or.prototype.bytesPerElement=12,Fi(\"StructArrayLayout1ui2f12\",Or);class Wr extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(A,F,W){let re=this.length;return this.resize(re+1),this.emplace(re,A,F,W)}emplace(A,F,W,re){let fe=4*A;return this.uint32[2*A+0]=F,this.uint16[fe+2]=W,this.uint16[fe+3]=re,A}}Wr.prototype.bytesPerElement=8,Fi(\"StructArrayLayout1ul2ui8\",Wr);class ni extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(A,F){let W=this.length;return this.resize(W+1),this.emplace(W,A,F)}emplace(A,F,W){let re=2*A;return this.uint16[re+0]=F,this.uint16[re+1]=W,A}}ni.prototype.bytesPerElement=4,Fi(\"StructArrayLayout2ui4\",ni);class Pi extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(A){let F=this.length;return this.resize(F+1),this.emplace(F,A)}emplace(A,F){return this.uint16[1*A+0]=F,A}}Pi.prototype.bytesPerElement=2,Fi(\"StructArrayLayout1ui2\",Pi);class cn extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(A,F,W,re){let fe=this.length;return this.resize(fe+1),this.emplace(fe,A,F,W,re)}emplace(A,F,W,re,fe){let pe=4*A;return this.float32[pe+0]=F,this.float32[pe+1]=W,this.float32[pe+2]=re,this.float32[pe+3]=fe,A}}cn.prototype.bytesPerElement=16,Fi(\"StructArrayLayout4f16\",cn);class ln extends ee{get anchorPointX(){return this._structArray.int16[this._pos2+0]}get anchorPointY(){return this._structArray.int16[this._pos2+1]}get x1(){return this._structArray.int16[this._pos2+2]}get y1(){return this._structArray.int16[this._pos2+3]}get x2(){return this._structArray.int16[this._pos2+4]}get y2(){return this._structArray.int16[this._pos2+5]}get featureIndex(){return this._structArray.uint32[this._pos4+3]}get sourceLayerIndex(){return this._structArray.uint16[this._pos2+8]}get bucketIndex(){return this._structArray.uint16[this._pos2+9]}get anchorPoint(){return new u(this.anchorPointX,this.anchorPointY)}}ln.prototype.size=20;class Cn extends et{get(A){return new ln(this,A)}}Fi(\"CollisionBoxArray\",Cn);class Kn extends ee{get anchorX(){return this._structArray.int16[this._pos2+0]}get anchorY(){return this._structArray.int16[this._pos2+1]}get glyphStartIndex(){return this._structArray.uint16[this._pos2+2]}get numGlyphs(){return this._structArray.uint16[this._pos2+3]}get vertexStartIndex(){return this._structArray.uint32[this._pos4+2]}get lineStartIndex(){return this._structArray.uint32[this._pos4+3]}get lineLength(){return this._structArray.uint32[this._pos4+4]}get segment(){return this._structArray.uint16[this._pos2+10]}get lowerSize(){return this._structArray.uint16[this._pos2+11]}get upperSize(){return this._structArray.uint16[this._pos2+12]}get lineOffsetX(){return this._structArray.float32[this._pos4+7]}get lineOffsetY(){return this._structArray.float32[this._pos4+8]}get writingMode(){return this._structArray.uint8[this._pos1+36]}get placedOrientation(){return this._structArray.uint8[this._pos1+37]}set placedOrientation(A){this._structArray.uint8[this._pos1+37]=A}get hidden(){return this._structArray.uint8[this._pos1+38]}set hidden(A){this._structArray.uint8[this._pos1+38]=A}get crossTileID(){return this._structArray.uint32[this._pos4+10]}set crossTileID(A){this._structArray.uint32[this._pos4+10]=A}get associatedIconIndex(){return this._structArray.int16[this._pos2+22]}}Kn.prototype.size=48;class Ta extends tr{get(A){return new Kn(this,A)}}Fi(\"PlacedSymbolArray\",Ta);class fa extends ee{get anchorX(){return this._structArray.int16[this._pos2+0]}get anchorY(){return this._structArray.int16[this._pos2+1]}get rightJustifiedTextSymbolIndex(){return this._structArray.int16[this._pos2+2]}get centerJustifiedTextSymbolIndex(){return this._structArray.int16[this._pos2+3]}get leftJustifiedTextSymbolIndex(){return this._structArray.int16[this._pos2+4]}get verticalPlacedTextSymbolIndex(){return this._structArray.int16[this._pos2+5]}get placedIconSymbolIndex(){return this._structArray.int16[this._pos2+6]}get verticalPlacedIconSymbolIndex(){return this._structArray.int16[this._pos2+7]}get key(){return this._structArray.uint16[this._pos2+8]}get textBoxStartIndex(){return this._structArray.uint16[this._pos2+9]}get textBoxEndIndex(){return this._structArray.uint16[this._pos2+10]}get verticalTextBoxStartIndex(){return this._structArray.uint16[this._pos2+11]}get verticalTextBoxEndIndex(){return this._structArray.uint16[this._pos2+12]}get iconBoxStartIndex(){return this._structArray.uint16[this._pos2+13]}get iconBoxEndIndex(){return this._structArray.uint16[this._pos2+14]}get verticalIconBoxStartIndex(){return this._structArray.uint16[this._pos2+15]}get verticalIconBoxEndIndex(){return this._structArray.uint16[this._pos2+16]}get featureIndex(){return this._structArray.uint16[this._pos2+17]}get numHorizontalGlyphVertices(){return this._structArray.uint16[this._pos2+18]}get numVerticalGlyphVertices(){return this._structArray.uint16[this._pos2+19]}get numIconVertices(){return this._structArray.uint16[this._pos2+20]}get numVerticalIconVertices(){return this._structArray.uint16[this._pos2+21]}get useRuntimeCollisionCircles(){return this._structArray.uint16[this._pos2+22]}get crossTileID(){return this._structArray.uint32[this._pos4+12]}set crossTileID(A){this._structArray.uint32[this._pos4+12]=A}get textBoxScale(){return this._structArray.float32[this._pos4+13]}get collisionCircleDiameter(){return this._structArray.float32[this._pos4+14]}get textAnchorOffsetStartIndex(){return this._structArray.uint16[this._pos2+30]}get textAnchorOffsetEndIndex(){return this._structArray.uint16[this._pos2+31]}}fa.prototype.size=64;class $a extends dr{get(A){return new fa(this,A)}}Fi(\"SymbolInstanceArray\",$a);class Co extends Sr{getoffsetX(A){return this.float32[1*A+0]}}Fi(\"GlyphOffsetArray\",Co);class Qa extends Tt{getx(A){return this.int16[3*A+0]}gety(A){return this.int16[3*A+1]}gettileUnitDistanceFromAnchor(A){return this.int16[3*A+2]}}Fi(\"SymbolLineVertexArray\",Qa);class mo extends ee{get textAnchor(){return this._structArray.uint16[this._pos2+0]}get textOffset0(){return this._structArray.float32[this._pos4+1]}get textOffset1(){return this._structArray.float32[this._pos4+2]}}mo.prototype.size=12;class Bo extends Or{get(A){return new mo(this,A)}}Fi(\"TextAnchorOffsetArray\",Bo);class Ps extends ee{get featureIndex(){return this._structArray.uint32[this._pos4+0]}get sourceLayerIndex(){return this._structArray.uint16[this._pos2+2]}get bucketIndex(){return this._structArray.uint16[this._pos2+3]}}Ps.prototype.size=8;class Ts extends Wr{get(A){return new Ps(this,A)}}Fi(\"FeatureIndexArray\",Ts);class wo extends ot{}class To extends ot{}class hl extends ot{}class Ul extends Kt{}class Lu extends xr{}class au extends Ir{}class Js extends ve{}class Ql extends be{}class dc extends De{}class Tl extends Be{}class Al extends We{}class X extends Ft{}class se extends Ht{}class Te extends ni{}let Ne=qe([{name:\"a_pos\",components:2,type:\"Int16\"}],4),{members:He}=Ne;class Ye{constructor(A=[]){this.segments=A}prepareSegment(A,F,W,re){let fe=this.segments[this.segments.length-1];return A>Ye.MAX_VERTEX_ARRAY_LENGTH&&T(`Max vertices per segment is ${Ye.MAX_VERTEX_ARRAY_LENGTH}: bucket requested ${A}`),(!fe||fe.vertexLength+A>Ye.MAX_VERTEX_ARRAY_LENGTH||fe.sortKey!==re)&&(fe={vertexOffset:F.length,primitiveOffset:W.length,vertexLength:0,primitiveLength:0},re!==void 0&&(fe.sortKey=re),this.segments.push(fe)),fe}get(){return this.segments}destroy(){for(let A of this.segments)for(let F in A.vaos)A.vaos[F].destroy()}static simpleSegment(A,F,W,re){return new Ye([{vertexOffset:A,primitiveOffset:F,vertexLength:W,primitiveLength:re,vaos:{},sortKey:0}])}}function kt(R,A){return 256*(R=E(Math.floor(R),0,255))+E(Math.floor(A),0,255)}Ye.MAX_VERTEX_ARRAY_LENGTH=Math.pow(2,16)-1,Fi(\"SegmentVector\",Ye);let nt=qe([{name:\"a_pattern_from\",components:4,type:\"Uint16\"},{name:\"a_pattern_to\",components:4,type:\"Uint16\"},{name:\"a_pixel_ratio_from\",components:1,type:\"Uint16\"},{name:\"a_pixel_ratio_to\",components:1,type:\"Uint16\"}]);var jt={exports:{}},gr={exports:{}};gr.exports=function(R,A){var F,W,re,fe,pe,ze,Ke,ct;for(W=R.length-(F=3&R.length),re=A,pe=3432918353,ze=461845907,ct=0;ct<W;)Ke=255&R.charCodeAt(ct)|(255&R.charCodeAt(++ct))<<8|(255&R.charCodeAt(++ct))<<16|(255&R.charCodeAt(++ct))<<24,++ct,re=27492+(65535&(fe=5*(65535&(re=(re^=Ke=(65535&(Ke=(Ke=(65535&Ke)*pe+(((Ke>>>16)*pe&65535)<<16)&4294967295)<<15|Ke>>>17))*ze+(((Ke>>>16)*ze&65535)<<16)&4294967295)<<13|re>>>19))+((5*(re>>>16)&65535)<<16)&4294967295))+((58964+(fe>>>16)&65535)<<16);switch(Ke=0,F){case 3:Ke^=(255&R.charCodeAt(ct+2))<<16;case 2:Ke^=(255&R.charCodeAt(ct+1))<<8;case 1:re^=Ke=(65535&(Ke=(Ke=(65535&(Ke^=255&R.charCodeAt(ct)))*pe+(((Ke>>>16)*pe&65535)<<16)&4294967295)<<15|Ke>>>17))*ze+(((Ke>>>16)*ze&65535)<<16)&4294967295}return re^=R.length,re=2246822507*(65535&(re^=re>>>16))+((2246822507*(re>>>16)&65535)<<16)&4294967295,re=3266489909*(65535&(re^=re>>>13))+((3266489909*(re>>>16)&65535)<<16)&4294967295,(re^=re>>>16)>>>0};var yr=gr.exports,Hr={exports:{}};Hr.exports=function(R,A){for(var F,W=R.length,re=A^W,fe=0;W>=4;)F=1540483477*(65535&(F=255&R.charCodeAt(fe)|(255&R.charCodeAt(++fe))<<8|(255&R.charCodeAt(++fe))<<16|(255&R.charCodeAt(++fe))<<24))+((1540483477*(F>>>16)&65535)<<16),re=1540483477*(65535&re)+((1540483477*(re>>>16)&65535)<<16)^(F=1540483477*(65535&(F^=F>>>24))+((1540483477*(F>>>16)&65535)<<16)),W-=4,++fe;switch(W){case 3:re^=(255&R.charCodeAt(fe+2))<<16;case 2:re^=(255&R.charCodeAt(fe+1))<<8;case 1:re=1540483477*(65535&(re^=255&R.charCodeAt(fe)))+((1540483477*(re>>>16)&65535)<<16)}return re=1540483477*(65535&(re^=re>>>13))+((1540483477*(re>>>16)&65535)<<16),(re^=re>>>15)>>>0};var qr=yr,_i=Hr.exports;jt.exports=qr,jt.exports.murmur3=qr,jt.exports.murmur2=_i;var bi=o(jt.exports);class Zr{constructor(){this.ids=[],this.positions=[],this.indexed=!1}add(A,F,W,re){this.ids.push(ai(A)),this.positions.push(F,W,re)}getPositions(A){if(!this.indexed)throw new Error(\"Trying to get index, but feature positions are not indexed\");let F=ai(A),W=0,re=this.ids.length-1;for(;W<re;){let pe=W+re>>1;this.ids[pe]>=F?re=pe:W=pe+1}let fe=[];for(;this.ids[W]===F;)fe.push({index:this.positions[3*W],start:this.positions[3*W+1],end:this.positions[3*W+2]}),W++;return fe}static serialize(A,F){let W=new Float64Array(A.ids),re=new Uint32Array(A.positions);return gi(W,re,0,W.length-1),F&&F.push(W.buffer,re.buffer),{ids:W,positions:re}}static deserialize(A){let F=new Zr;return F.ids=A.ids,F.positions=A.positions,F.indexed=!0,F}}function ai(R){let A=+R;return!isNaN(A)&&A<=Number.MAX_SAFE_INTEGER?A:bi(String(R))}function gi(R,A,F,W){for(;F<W;){let re=R[F+W>>1],fe=F-1,pe=W+1;for(;;){do fe++;while(R[fe]<re);do pe--;while(R[pe]>re);if(fe>=pe)break;Ii(R,fe,pe),Ii(A,3*fe,3*pe),Ii(A,3*fe+1,3*pe+1),Ii(A,3*fe+2,3*pe+2)}pe-F<W-pe?(gi(R,A,F,pe),F=pe+1):(gi(R,A,pe+1,W),W=pe)}}function Ii(R,A,F){let W=R[A];R[A]=R[F],R[F]=W}Fi(\"FeaturePositionMap\",Zr);class Si{constructor(A,F){this.gl=A.gl,this.location=F}}class ei extends Si{constructor(A,F){super(A,F),this.current=0}set(A){this.current!==A&&(this.current=A,this.gl.uniform1f(this.location,A))}}class Ln extends Si{constructor(A,F){super(A,F),this.current=[0,0,0,0]}set(A){A[0]===this.current[0]&&A[1]===this.current[1]&&A[2]===this.current[2]&&A[3]===this.current[3]||(this.current=A,this.gl.uniform4f(this.location,A[0],A[1],A[2],A[3]))}}class En extends Si{constructor(A,F){super(A,F),this.current=nr.transparent}set(A){A.r===this.current.r&&A.g===this.current.g&&A.b===this.current.b&&A.a===this.current.a||(this.current=A,this.gl.uniform4f(this.location,A.r,A.g,A.b,A.a))}}let Un=new Float32Array(16);function ia(R){return[kt(255*R.r,255*R.g),kt(255*R.b,255*R.a)]}class Ea{constructor(A,F,W){this.value=A,this.uniformNames=F.map(re=>`u_${re}`),this.type=W}setUniform(A,F,W){A.set(W.constantOr(this.value))}getBinding(A,F,W){return this.type===\"color\"?new En(A,F):new ei(A,F)}}class Ia{constructor(A,F){this.uniformNames=F.map(W=>`u_${W}`),this.patternFrom=null,this.patternTo=null,this.pixelRatioFrom=1,this.pixelRatioTo=1}setConstantPatternPositions(A,F){this.pixelRatioFrom=F.pixelRatio,this.pixelRatioTo=A.pixelRatio,this.patternFrom=F.tlbr,this.patternTo=A.tlbr}setUniform(A,F,W,re){let fe=re===\"u_pattern_to\"?this.patternTo:re===\"u_pattern_from\"?this.patternFrom:re===\"u_pixel_ratio_to\"?this.pixelRatioTo:re===\"u_pixel_ratio_from\"?this.pixelRatioFrom:null;fe&&A.set(fe)}getBinding(A,F,W){return W.substr(0,9)===\"u_pattern\"?new Ln(A,F):new ei(A,F)}}class yo{constructor(A,F,W,re){this.expression=A,this.type=W,this.maxValue=0,this.paintVertexAttributes=F.map(fe=>({name:`a_${fe}`,type:\"Float32\",components:W===\"color\"?2:1,offset:0})),this.paintVertexArray=new re}populatePaintArray(A,F,W,re,fe){let pe=this.paintVertexArray.length,ze=this.expression.evaluate(new rs(0),F,{},re,[],fe);this.paintVertexArray.resize(A),this._setPaintValue(pe,A,ze)}updatePaintArray(A,F,W,re){let fe=this.expression.evaluate({zoom:0},W,re);this._setPaintValue(A,F,fe)}_setPaintValue(A,F,W){if(this.type===\"color\"){let re=ia(W);for(let fe=A;fe<F;fe++)this.paintVertexArray.emplace(fe,re[0],re[1])}else{for(let re=A;re<F;re++)this.paintVertexArray.emplace(re,W);this.maxValue=Math.max(this.maxValue,Math.abs(W))}}upload(A){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=A.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))}destroy(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()}}class Da{constructor(A,F,W,re,fe,pe){this.expression=A,this.uniformNames=F.map(ze=>`u_${ze}_t`),this.type=W,this.useIntegerZoom=re,this.zoom=fe,this.maxValue=0,this.paintVertexAttributes=F.map(ze=>({name:`a_${ze}`,type:\"Float32\",components:W===\"color\"?4:2,offset:0})),this.paintVertexArray=new pe}populatePaintArray(A,F,W,re,fe){let pe=this.expression.evaluate(new rs(this.zoom),F,{},re,[],fe),ze=this.expression.evaluate(new rs(this.zoom+1),F,{},re,[],fe),Ke=this.paintVertexArray.length;this.paintVertexArray.resize(A),this._setPaintValue(Ke,A,pe,ze)}updatePaintArray(A,F,W,re){let fe=this.expression.evaluate({zoom:this.zoom},W,re),pe=this.expression.evaluate({zoom:this.zoom+1},W,re);this._setPaintValue(A,F,fe,pe)}_setPaintValue(A,F,W,re){if(this.type===\"color\"){let fe=ia(W),pe=ia(re);for(let ze=A;ze<F;ze++)this.paintVertexArray.emplace(ze,fe[0],fe[1],pe[0],pe[1])}else{for(let fe=A;fe<F;fe++)this.paintVertexArray.emplace(fe,W,re);this.maxValue=Math.max(this.maxValue,Math.abs(W),Math.abs(re))}}upload(A){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=A.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))}destroy(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()}setUniform(A,F){let W=this.useIntegerZoom?Math.floor(F.zoom):F.zoom,re=E(this.expression.interpolationFactor(W,this.zoom,this.zoom+1),0,1);A.set(re)}getBinding(A,F,W){return new ei(A,F)}}class go{constructor(A,F,W,re,fe,pe){this.expression=A,this.type=F,this.useIntegerZoom=W,this.zoom=re,this.layerId=pe,this.zoomInPaintVertexArray=new fe,this.zoomOutPaintVertexArray=new fe}populatePaintArray(A,F,W){let re=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(A),this.zoomOutPaintVertexArray.resize(A),this._setPaintValues(re,A,F.patterns&&F.patterns[this.layerId],W)}updatePaintArray(A,F,W,re,fe){this._setPaintValues(A,F,W.patterns&&W.patterns[this.layerId],fe)}_setPaintValues(A,F,W,re){if(!re||!W)return;let{min:fe,mid:pe,max:ze}=W,Ke=re[fe],ct=re[pe],Lt=re[ze];if(Ke&&ct&&Lt)for(let $t=A;$t<F;$t++)this.zoomInPaintVertexArray.emplace($t,ct.tl[0],ct.tl[1],ct.br[0],ct.br[1],Ke.tl[0],Ke.tl[1],Ke.br[0],Ke.br[1],ct.pixelRatio,Ke.pixelRatio),this.zoomOutPaintVertexArray.emplace($t,ct.tl[0],ct.tl[1],ct.br[0],ct.br[1],Lt.tl[0],Lt.tl[1],Lt.br[0],Lt.br[1],ct.pixelRatio,Lt.pixelRatio)}upload(A){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=A.createVertexBuffer(this.zoomInPaintVertexArray,nt.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=A.createVertexBuffer(this.zoomOutPaintVertexArray,nt.members,this.expression.isStateDependent))}destroy(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()}}class Is{constructor(A,F,W){this.binders={},this._buffers=[];let re=[];for(let fe in A.paint._values){if(!W(fe))continue;let pe=A.paint.get(fe);if(!(pe instanceof xu&&Nl(pe.property.specification)))continue;let ze=Xs(fe,A.type),Ke=pe.value,ct=pe.property.specification.type,Lt=pe.property.useIntegerZoom,$t=pe.property.specification[\"property-type\"],fr=$t===\"cross-faded\"||$t===\"cross-faded-data-driven\";if(Ke.kind===\"constant\")this.binders[fe]=fr?new Ia(Ke.value,ze):new Ea(Ke.value,ze,ct),re.push(`/u_${fe}`);else if(Ke.kind===\"source\"||fr){let mr=Gn(fe,ct,\"source\");this.binders[fe]=fr?new go(Ke,ct,Lt,F,mr,A.id):new yo(Ke,ze,ct,mr),re.push(`/a_${fe}`)}else{let mr=Gn(fe,ct,\"composite\");this.binders[fe]=new Da(Ke,ze,ct,Lt,F,mr),re.push(`/z_${fe}`)}}this.cacheKey=re.sort().join(\"\")}getMaxValue(A){let F=this.binders[A];return F instanceof yo||F instanceof Da?F.maxValue:0}populatePaintArrays(A,F,W,re,fe){for(let pe in this.binders){let ze=this.binders[pe];(ze instanceof yo||ze instanceof Da||ze instanceof go)&&ze.populatePaintArray(A,F,W,re,fe)}}setConstantPatternPositions(A,F){for(let W in this.binders){let re=this.binders[W];re instanceof Ia&&re.setConstantPatternPositions(A,F)}}updatePaintArrays(A,F,W,re,fe){let pe=!1;for(let ze in A){let Ke=F.getPositions(ze);for(let ct of Ke){let Lt=W.feature(ct.index);for(let $t in this.binders){let fr=this.binders[$t];if((fr instanceof yo||fr instanceof Da||fr instanceof go)&&fr.expression.isStateDependent===!0){let mr=re.paint.get($t);fr.expression=mr.value,fr.updatePaintArray(ct.start,ct.end,Lt,A[ze],fe),pe=!0}}}}return pe}defines(){let A=[];for(let F in this.binders){let W=this.binders[F];(W instanceof Ea||W instanceof Ia)&&A.push(...W.uniformNames.map(re=>`#define HAS_UNIFORM_${re}`))}return A}getBinderAttributes(){let A=[];for(let F in this.binders){let W=this.binders[F];if(W instanceof yo||W instanceof Da)for(let re=0;re<W.paintVertexAttributes.length;re++)A.push(W.paintVertexAttributes[re].name);else if(W instanceof go)for(let re=0;re<nt.members.length;re++)A.push(nt.members[re].name)}return A}getBinderUniforms(){let A=[];for(let F in this.binders){let W=this.binders[F];if(W instanceof Ea||W instanceof Ia||W instanceof Da)for(let re of W.uniformNames)A.push(re)}return A}getPaintVertexBuffers(){return this._buffers}getUniforms(A,F){let W=[];for(let re in this.binders){let fe=this.binders[re];if(fe instanceof Ea||fe instanceof Ia||fe instanceof Da){for(let pe of fe.uniformNames)if(F[pe]){let ze=fe.getBinding(A,F[pe],pe);W.push({name:pe,property:re,binding:ze})}}}return W}setUniforms(A,F,W,re){for(let{name:fe,property:pe,binding:ze}of F)this.binders[pe].setUniform(ze,re,W.get(pe),fe)}updatePaintBuffers(A){this._buffers=[];for(let F in this.binders){let W=this.binders[F];if(A&&W instanceof go){let re=A.fromScale===2?W.zoomInPaintVertexBuffer:W.zoomOutPaintVertexBuffer;re&&this._buffers.push(re)}else(W instanceof yo||W instanceof Da)&&W.paintVertexBuffer&&this._buffers.push(W.paintVertexBuffer)}}upload(A){for(let F in this.binders){let W=this.binders[F];(W instanceof yo||W instanceof Da||W instanceof go)&&W.upload(A)}this.updatePaintBuffers()}destroy(){for(let A in this.binders){let F=this.binders[A];(F instanceof yo||F instanceof Da||F instanceof go)&&F.destroy()}}}class Ms{constructor(A,F,W=()=>!0){this.programConfigurations={};for(let re of A)this.programConfigurations[re.id]=new Is(re,F,W);this.needsUpload=!1,this._featureMap=new Zr,this._bufferOffset=0}populatePaintArrays(A,F,W,re,fe,pe){for(let ze in this.programConfigurations)this.programConfigurations[ze].populatePaintArrays(A,F,re,fe,pe);F.id!==void 0&&this._featureMap.add(F.id,W,this._bufferOffset,A),this._bufferOffset=A,this.needsUpload=!0}updatePaintArrays(A,F,W,re){for(let fe of W)this.needsUpload=this.programConfigurations[fe.id].updatePaintArrays(A,this._featureMap,F,fe,re)||this.needsUpload}get(A){return this.programConfigurations[A]}upload(A){if(this.needsUpload){for(let F in this.programConfigurations)this.programConfigurations[F].upload(A);this.needsUpload=!1}}destroy(){for(let A in this.programConfigurations)this.programConfigurations[A].destroy()}}function Xs(R,A){return{\"text-opacity\":[\"opacity\"],\"icon-opacity\":[\"opacity\"],\"text-color\":[\"fill_color\"],\"icon-color\":[\"fill_color\"],\"text-halo-color\":[\"halo_color\"],\"icon-halo-color\":[\"halo_color\"],\"text-halo-blur\":[\"halo_blur\"],\"icon-halo-blur\":[\"halo_blur\"],\"text-halo-width\":[\"halo_width\"],\"icon-halo-width\":[\"halo_width\"],\"line-gap-width\":[\"gapwidth\"],\"line-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-extrusion-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"]}[R]||[R.replace(`${A}-`,\"\").replace(/-/g,\"_\")]}function Gn(R,A,F){let 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Gi(R,A,F){R===15?A.version=F.readVarint():R===1?A.name=F.readString():R===5?A.extent=F.readVarint():R===2?A._features.push(F.pos):R===3?A._keys.push(F.readString()):R===4&&A._values.push(function(W){for(var re=null,fe=W.readVarint()+W.pos;W.pos<fe;){var pe=W.readVarint()>>3;re=pe===1?W.readString():pe===2?W.readFloat():pe===3?W.readDouble():pe===4?W.readVarint64():pe===5?W.readVarint():pe===6?W.readSVarint():pe===7?W.readBoolean():null}return re}(F))}Bi.prototype.feature=function(R){if(R<0||R>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[R];var A=this._pbf.readVarint()+this._pbf.pos;return new rn(this._pbf,A,this.extent,this._keys,this._values)};var sn=Ci;function zn(R,A,F){if(R===3){var W=new sn(F,F.readVarint()+F.pos);W.length&&(A[W.name]=W)}}br.VectorTile=function(R,A){this.layers=R.readFields(zn,{},A)},br.VectorTileFeature=Di,br.VectorTileLayer=Ci;let Ja=br.VectorTileFeature.types,co=Math.pow(2,13);function ts(R,A,F,W,re,fe,pe,ze){R.emplaceBack(A,F,2*Math.floor(W*co)+pe,re*co*2,fe*co*2,Math.round(ze))}class so{constructor(A){this.zoom=A.zoom,this.overscaling=A.overscaling,this.layers=A.layers,this.layerIds=this.layers.map(F=>F.id),this.index=A.index,this.hasPattern=!1,this.layoutVertexArray=new Ul,this.centroidVertexArray=new wo,this.indexArray=new se,this.programConfigurations=new Ms(A.layers,A.zoom),this.segments=new Ye,this.stateDependentLayerIds=this.layers.filter(F=>F.isStateDependent()).map(F=>F.id)}populate(A,F,W){this.features=[],this.hasPattern=at(\"fill-extrusion\",this.layers,F);for(let{feature:re,id:fe,index:pe,sourceLayerIndex:ze}of A){let Ke=this.layers[0]._featureFilter.needGeometry,ct=Sl(re,Ke);if(!this.layers[0]._featureFilter.filter(new rs(this.zoom),ct,W))continue;let Lt={id:fe,sourceLayerIndex:ze,index:pe,geometry:Ke?ct.geometry:$s(re),properties:re.properties,type:re.type,patterns:{}};this.hasPattern?this.features.push(Ct(\"fill-extrusion\",this.layers,Lt,this.zoom,F)):this.addFeature(Lt,Lt.geometry,pe,W,{}),F.featureIndex.insert(re,Lt.geometry,pe,ze,this.index,!0)}}addFeatures(A,F,W){for(let re of this.features){let{geometry:fe}=re;this.addFeature(re,fe,re.index,F,W)}}update(A,F,W){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(A,F,this.stateDependentLayers,W)}isEmpty(){return this.layoutVertexArray.length===0&&this.centroidVertexArray.length===0}uploadPending(){return!this.uploaded||this.programConfigurations.needsUpload}upload(A){this.uploaded||(this.layoutVertexBuffer=A.createVertexBuffer(this.layoutVertexArray,ur),this.centroidVertexBuffer=A.createVertexBuffer(this.centroidVertexArray,ht.members,!0),this.indexBuffer=A.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(A),this.uploaded=!0}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.centroidVertexBuffer.destroy())}addFeature(A,F,W,re,fe){for(let pe of Cf(F,500)){let ze={x:0,y:0,vertexCount:0},Ke=0;for(let Pr of pe)Ke+=Pr.length;let ct=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray);for(let Pr of pe){if(Pr.length===0||ms(Pr))continue;let zr=0;for(let ui=0;ui<Pr.length;ui++){let yi=Pr[ui];if(ui>=1){let vn=Pr[ui-1];if(!Zo(yi,vn)){ct.vertexLength+4>Ye.MAX_VERTEX_ARRAY_LENGTH&&(ct=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));let zi=yi.sub(vn)._perp()._unit(),un=vn.dist(yi);zr+un>32768&&(zr=0),ts(this.layoutVertexArray,yi.x,yi.y,zi.x,zi.y,0,0,zr),ts(this.layoutVertexArray,yi.x,yi.y,zi.x,zi.y,0,1,zr),ze.x+=2*yi.x,ze.y+=2*yi.y,ze.vertexCount+=2,zr+=un,ts(this.layoutVertexArray,vn.x,vn.y,zi.x,zi.y,0,0,zr),ts(this.layoutVertexArray,vn.x,vn.y,zi.x,zi.y,0,1,zr),ze.x+=2*vn.x,ze.y+=2*vn.y,ze.vertexCount+=2;let Tn=ct.vertexLength;this.indexArray.emplaceBack(Tn,Tn+2,Tn+1),this.indexArray.emplaceBack(Tn+1,Tn+2,Tn+3),ct.vertexLength+=4,ct.primitiveLength+=2}}}}if(ct.vertexLength+Ke>Ye.MAX_VERTEX_ARRAY_LENGTH&&(ct=this.segments.prepareSegment(Ke,this.layoutVertexArray,this.indexArray)),Ja[A.type]!==\"Polygon\")continue;let Lt=[],$t=[],fr=ct.vertexLength;for(let Pr of pe)if(Pr.length!==0){Pr!==pe[0]&&$t.push(Lt.length/2);for(let zr=0;zr<Pr.length;zr++){let ui=Pr[zr];ts(this.layoutVertexArray,ui.x,ui.y,0,0,1,1,0),ze.x+=ui.x,ze.y+=ui.y,ze.vertexCount+=1,Lt.push(ui.x),Lt.push(ui.y)}}let mr=zo(Lt,$t);for(let Pr=0;Pr<mr.length;Pr+=3)this.indexArray.emplaceBack(fr+mr[Pr],fr+mr[Pr+2],fr+mr[Pr+1]);ct.primitiveLength+=mr.length/3,ct.vertexLength+=Ke;for(let Pr=0;Pr<ze.vertexCount;Pr++){let zr=Math.floor(ze.x/ze.vertexCount),ui=Math.floor(ze.y/ze.vertexCount);this.centroidVertexArray.emplaceBack(zr,ui)}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,A,W,fe,re)}}function Zo(R,A){return R.x===A.x&&(R.x<0||R.x>ja)||R.y===A.y&&(R.y<0||R.y>ja)}function ms(R){return R.every(A=>A.x<0)||R.every(A=>A.x>ja)||R.every(A=>A.y<0)||R.every(A=>A.y>ja)}let ou;Fi(\"FillExtrusionBucket\",so,{omit:[\"layers\",\"features\"]});var Cv={get paint(){return ou=ou||new ue({\"fill-extrusion-opacity\":new Ua(ce[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new oo(ce[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new Ua(ce[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new Ua(ce[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new Vc(ce[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new oo(ce[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new oo(ce[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new Ua(ce[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})}};class Lv extends B{constructor(A){super(A,Cv)}createBucket(A){return new so(A)}queryRadius(){return Hn(this.paint.get(\"fill-extrusion-translate\"))}is3D(){return!0}queryIntersectsFeature(A,F,W,re,fe,pe,ze,Ke){let ct=en(A,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),pe.angle,ze),Lt=this.paint.get(\"fill-extrusion-height\").evaluate(F,W),$t=this.paint.get(\"fill-extrusion-base\").evaluate(F,W),fr=function(Pr,zr,ui,yi){let vn=[];for(let zi of Pr){let un=[zi.x,zi.y,0,1];Bn(un,un,zr),vn.push(new u(un[0]/un[3],un[1]/un[3]))}return vn}(ct,Ke),mr=function(Pr,zr,ui,yi){let vn=[],zi=[],un=yi[8]*zr,Tn=yi[9]*zr,pa=yi[10]*zr,ro=yi[11]*zr,Vo=yi[8]*ui,Xa=yi[9]*ui,sa=yi[10]*ui,Mo=yi[11]*ui;for(let fo of Pr){let lo=[],Xn=[];for(let Ro of fo){let uo=Ro.x,$o=Ro.y,Ju=yi[0]*uo+yi[4]*$o+yi[12],qu=yi[1]*uo+yi[5]*$o+yi[13],Mh=yi[2]*uo+yi[6]*$o+yi[14],Qv=yi[3]*uo+yi[7]*$o+yi[15],ld=Mh+pa,Eh=Qv+ro,Gd=Ju+Vo,Hd=qu+Xa,jd=Mh+sa,Af=Qv+Mo,kh=new u((Ju+un)/Eh,(qu+Tn)/Eh);kh.z=ld/Eh,lo.push(kh);let Ed=new u(Gd/Af,Hd/Af);Ed.z=jd/Af,Xn.push(Ed)}vn.push(lo),zi.push(Xn)}return[vn,zi]}(re,$t,Lt,Ke);return function(Pr,zr,ui){let yi=1/0;bt(ui,zr)&&(yi=Kv(ui,zr[0]));for(let vn=0;vn<zr.length;vn++){let zi=zr[vn],un=Pr[vn];for(let Tn=0;Tn<zi.length-1;Tn++){let pa=zi[Tn],ro=[pa,zi[Tn+1],un[Tn+1],un[Tn],pa];Sc(ui,ro)&&(yi=Math.min(yi,Kv(ui,ro)))}}return yi!==1/0&&yi}(mr[0],mr[1],fr)}}function wd(R,A){return R.x*A.x+R.y*A.y}function Kv(R,A){if(R.length===1){let F=0,W=A[F++],re;for(;!re||W.equals(re);)if(re=A[F++],!re)return 1/0;for(;F<A.length;F++){let fe=A[F],pe=R[0],ze=re.sub(W),Ke=fe.sub(W),ct=pe.sub(W),Lt=wd(ze,ze),$t=wd(ze,Ke),fr=wd(Ke,Ke),mr=wd(ct,ze),Pr=wd(ct,Ke),zr=Lt*fr-$t*$t,ui=(fr*mr-$t*Pr)/zr,yi=(Lt*Pr-$t*mr)/zr,vn=W.z*(1-ui-yi)+re.z*ui+fe.z*yi;if(isFinite(vn))return vn}return 1/0}{let F=1/0;for(let W of A)F=Math.min(F,W.z);return F}}let cg=qe([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4),{members:pp}=cg,Td=qe([{name:\"a_uv_x\",components:1,type:\"Float32\"},{name:\"a_split_index\",components:1,type:\"Float32\"}]),{members:gp}=Td,Vd=br.VectorTileFeature.types,Ad=Math.cos(Math.PI/180*37.5),Pv=Math.pow(2,14)/.5;class Jv{constructor(A){this.zoom=A.zoom,this.overscaling=A.overscaling,this.layers=A.layers,this.layerIds=this.layers.map(F=>F.id),this.index=A.index,this.hasPattern=!1,this.patternFeatures=[],this.lineClipsArray=[],this.gradients={},this.layers.forEach(F=>{this.gradients[F.id]={}}),this.layoutVertexArray=new Lu,this.layoutVertexArray2=new au,this.indexArray=new se,this.programConfigurations=new Ms(A.layers,A.zoom),this.segments=new Ye,this.maxLineLength=0,this.stateDependentLayerIds=this.layers.filter(F=>F.isStateDependent()).map(F=>F.id)}populate(A,F,W){this.hasPattern=at(\"line\",this.layers,F);let re=this.layers[0].layout.get(\"line-sort-key\"),fe=!re.isConstant(),pe=[];for(let{feature:ze,id:Ke,index:ct,sourceLayerIndex:Lt}of A){let $t=this.layers[0]._featureFilter.needGeometry,fr=Sl(ze,$t);if(!this.layers[0]._featureFilter.filter(new rs(this.zoom),fr,W))continue;let mr=fe?re.evaluate(fr,{},W):void 0,Pr={id:Ke,properties:ze.properties,type:ze.type,sourceLayerIndex:Lt,index:ct,geometry:$t?fr.geometry:$s(ze),patterns:{},sortKey:mr};pe.push(Pr)}fe&&pe.sort((ze,Ke)=>ze.sortKey-Ke.sortKey);for(let ze of pe){let{geometry:Ke,index:ct,sourceLayerIndex:Lt}=ze;if(this.hasPattern){let $t=Ct(\"line\",this.layers,ze,this.zoom,F);this.patternFeatures.push($t)}else this.addFeature(ze,Ke,ct,W,{});F.featureIndex.insert(A[ct].feature,Ke,ct,Lt,this.index)}}update(A,F,W){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(A,F,this.stateDependentLayers,W)}addFeatures(A,F,W){for(let re of this.patternFeatures)this.addFeature(re,re.geometry,re.index,F,W)}isEmpty(){return this.layoutVertexArray.length===0}uploadPending(){return!this.uploaded||this.programConfigurations.needsUpload}upload(A){this.uploaded||(this.layoutVertexArray2.length!==0&&(this.layoutVertexBuffer2=A.createVertexBuffer(this.layoutVertexArray2,gp)),this.layoutVertexBuffer=A.createVertexBuffer(this.layoutVertexArray,pp),this.indexBuffer=A.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(A),this.uploaded=!0}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())}lineFeatureClips(A){if(A.properties&&Object.prototype.hasOwnProperty.call(A.properties,\"mapbox_clip_start\")&&Object.prototype.hasOwnProperty.call(A.properties,\"mapbox_clip_end\"))return{start:+A.properties.mapbox_clip_start,end:+A.properties.mapbox_clip_end}}addFeature(A,F,W,re,fe){let pe=this.layers[0].layout,ze=pe.get(\"line-join\").evaluate(A,{}),Ke=pe.get(\"line-cap\"),ct=pe.get(\"line-miter-limit\"),Lt=pe.get(\"line-round-limit\");this.lineClips=this.lineFeatureClips(A);for(let $t of F)this.addLine($t,A,ze,Ke,ct,Lt);this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,A,W,fe,re)}addLine(A,F,W,re,fe,pe){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,this.lineClips){this.lineClipsArray.push(this.lineClips);for(let yi=0;yi<A.length-1;yi++)this.totalDistance+=A[yi].dist(A[yi+1]);this.updateScaledDistance(),this.maxLineLength=Math.max(this.maxLineLength,this.totalDistance)}let ze=Vd[F.type]===\"Polygon\",Ke=A.length;for(;Ke>=2&&A[Ke-1].equals(A[Ke-2]);)Ke--;let ct=0;for(;ct<Ke-1&&A[ct].equals(A[ct+1]);)ct++;if(Ke<(ze?3:2))return;W===\"bevel\"&&(fe=1.05);let Lt=this.overscaling<=16?15*ja/(512*this.overscaling):0,$t=this.segments.prepareSegment(10*Ke,this.layoutVertexArray,this.indexArray),fr,mr,Pr,zr,ui;this.e1=this.e2=-1,ze&&(fr=A[Ke-2],ui=A[ct].sub(fr)._unit()._perp());for(let yi=ct;yi<Ke;yi++){if(Pr=yi===Ke-1?ze?A[ct+1]:void 0:A[yi+1],Pr&&A[yi].equals(Pr))continue;ui&&(zr=ui),fr&&(mr=fr),fr=A[yi],ui=Pr?Pr.sub(fr)._unit()._perp():zr,zr=zr||ui;let vn=zr.add(ui);vn.x===0&&vn.y===0||vn._unit();let zi=zr.x*ui.x+zr.y*ui.y,un=vn.x*ui.x+vn.y*ui.y,Tn=un!==0?1/un:1/0,pa=2*Math.sqrt(2-2*un),ro=un<Ad&&mr&&Pr,Vo=zr.x*ui.y-zr.y*ui.x>0;if(ro&&yi>ct){let Mo=fr.dist(mr);if(Mo>2*Lt){let fo=fr.sub(fr.sub(mr)._mult(Lt/Mo)._round());this.updateDistance(mr,fo),this.addCurrentVertex(fo,zr,0,0,$t),mr=fo}}let Xa=mr&&Pr,sa=Xa?W:ze?\"butt\":re;if(Xa&&sa===\"round\"&&(Tn<pe?sa=\"miter\":Tn<=2&&(sa=\"fakeround\")),sa===\"miter\"&&Tn>fe&&(sa=\"bevel\"),sa===\"bevel\"&&(Tn>2&&(sa=\"flipbevel\"),Tn<fe&&(sa=\"miter\")),mr&&this.updateDistance(mr,fr),sa===\"miter\")vn._mult(Tn),this.addCurrentVertex(fr,vn,0,0,$t);else if(sa===\"flipbevel\"){if(Tn>100)vn=ui.mult(-1);else{let Mo=Tn*zr.add(ui).mag()/zr.sub(ui).mag();vn._perp()._mult(Mo*(Vo?-1:1))}this.addCurrentVertex(fr,vn,0,0,$t),this.addCurrentVertex(fr,vn.mult(-1),0,0,$t)}else if(sa===\"bevel\"||sa===\"fakeround\"){let Mo=-Math.sqrt(Tn*Tn-1),fo=Vo?Mo:0,lo=Vo?0:Mo;if(mr&&this.addCurrentVertex(fr,zr,fo,lo,$t),sa===\"fakeround\"){let Xn=Math.round(180*pa/Math.PI/20);for(let Ro=1;Ro<Xn;Ro++){let uo=Ro/Xn;if(uo!==.5){let Ju=uo-.5;uo+=uo*Ju*(uo-1)*((1.0904+zi*(zi*(3.55645-1.43519*zi)-3.2452))*Ju*Ju+(.848013+zi*(.215638*zi-1.06021)))}let $o=ui.sub(zr)._mult(uo)._add(zr)._unit()._mult(Vo?-1:1);this.addHalfVertex(fr,$o.x,$o.y,!1,Vo,0,$t)}}Pr&&this.addCurrentVertex(fr,ui,-fo,-lo,$t)}else if(sa===\"butt\")this.addCurrentVertex(fr,vn,0,0,$t);else if(sa===\"square\"){let Mo=mr?1:-1;this.addCurrentVertex(fr,vn,Mo,Mo,$t)}else sa===\"round\"&&(mr&&(this.addCurrentVertex(fr,zr,0,0,$t),this.addCurrentVertex(fr,zr,1,1,$t,!0)),Pr&&(this.addCurrentVertex(fr,ui,-1,-1,$t,!0),this.addCurrentVertex(fr,ui,0,0,$t)));if(ro&&yi<Ke-1){let Mo=fr.dist(Pr);if(Mo>2*Lt){let fo=fr.add(Pr.sub(fr)._mult(Lt/Mo)._round());this.updateDistance(fr,fo),this.addCurrentVertex(fo,ui,0,0,$t),fr=fo}}}}addCurrentVertex(A,F,W,re,fe,pe=!1){let ze=F.y*re-F.x,Ke=-F.y-F.x*re;this.addHalfVertex(A,F.x+F.y*W,F.y-F.x*W,pe,!1,W,fe),this.addHalfVertex(A,ze,Ke,pe,!0,-re,fe),this.distance>Pv/2&&this.totalDistance===0&&(this.distance=0,this.updateScaledDistance(),this.addCurrentVertex(A,F,W,re,fe,pe))}addHalfVertex({x:A,y:F},W,re,fe,pe,ze,Ke){let ct=.5*(this.lineClips?this.scaledDistance*(Pv-1):this.scaledDistance);this.layoutVertexArray.emplaceBack((A<<1)+(fe?1:0),(F<<1)+(pe?1:0),Math.round(63*W)+128,Math.round(63*re)+128,1+(ze===0?0:ze<0?-1:1)|(63&ct)<<2,ct>>6),this.lineClips&&this.layoutVertexArray2.emplaceBack((this.scaledDistance-this.lineClips.start)/(this.lineClips.end-this.lineClips.start),this.lineClipsArray.length);let Lt=Ke.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,Lt),Ke.primitiveLength++),pe?this.e2=Lt:this.e1=Lt}updateScaledDistance(){this.scaledDistance=this.lineClips?this.lineClips.start+(this.lineClips.end-this.lineClips.start)*this.distance/this.totalDistance:this.distance}updateDistance(A,F){this.distance+=A.dist(F),this.updateScaledDistance()}}let Iv,ay;Fi(\"LineBucket\",Jv,{omit:[\"layers\",\"patternFeatures\"]});var fg={get paint(){return ay=ay||new ue({\"line-opacity\":new oo(ce.paint_line[\"line-opacity\"]),\"line-color\":new oo(ce.paint_line[\"line-color\"]),\"line-translate\":new Ua(ce.paint_line[\"line-translate\"]),\"line-translate-anchor\":new Ua(ce.paint_line[\"line-translate-anchor\"]),\"line-width\":new oo(ce.paint_line[\"line-width\"]),\"line-gap-width\":new oo(ce.paint_line[\"line-gap-width\"]),\"line-offset\":new oo(ce.paint_line[\"line-offset\"]),\"line-blur\":new oo(ce.paint_line[\"line-blur\"]),\"line-dasharray\":new hc(ce.paint_line[\"line-dasharray\"]),\"line-pattern\":new Vc(ce.paint_line[\"line-pattern\"]),\"line-gradient\":new Ku(ce.paint_line[\"line-gradient\"])})},get layout(){return Iv=Iv||new ue({\"line-cap\":new Ua(ce.layout_line[\"line-cap\"]),\"line-join\":new oo(ce.layout_line[\"line-join\"]),\"line-miter-limit\":new Ua(ce.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new Ua(ce.layout_line[\"line-round-limit\"]),\"line-sort-key\":new oo(ce.layout_line[\"line-sort-key\"])})}};class oh extends oo{possiblyEvaluate(A,F){return F=new rs(Math.floor(F.zoom),{now:F.now,fadeDuration:F.fadeDuration,zoomHistory:F.zoomHistory,transition:F.transition}),super.possiblyEvaluate(A,F)}evaluate(A,F,W,re){return F=L({},F,{zoom:Math.floor(F.zoom)}),super.evaluate(A,F,W,re)}}let hg;class oy extends B{constructor(A){super(A,fg),this.gradientVersion=0,hg||(hg=new oh(fg.paint.properties[\"line-width\"].specification),hg.useIntegerZoom=!0)}_handleSpecialPaintPropertyUpdate(A){if(A===\"line-gradient\"){let F=this.gradientExpression();this.stepInterpolant=!!function(W){return W._styleExpression!==void 0}(F)&&F._styleExpression.expression instanceof _n,this.gradientVersion=(this.gradientVersion+1)%Number.MAX_SAFE_INTEGER}}gradientExpression(){return this._transitionablePaint._values[\"line-gradient\"].value.expression}recalculate(A,F){super.recalculate(A,F),this.paint._values[\"line-floorwidth\"]=hg.possiblyEvaluate(this._transitioningPaint._values[\"line-width\"].value,A)}createBucket(A){return new Jv(A)}queryRadius(A){let F=A,W=jh(Ei(\"line-width\",this,F),Ei(\"line-gap-width\",this,F)),re=Ei(\"line-offset\",this,F);return W/2+Math.abs(re)+Hn(this.paint.get(\"line-translate\"))}queryIntersectsFeature(A,F,W,re,fe,pe,ze){let Ke=en(A,this.paint.get(\"line-translate\"),this.paint.get(\"line-translate-anchor\"),pe.angle,ze),ct=ze/2*jh(this.paint.get(\"line-width\").evaluate(F,W),this.paint.get(\"line-gap-width\").evaluate(F,W)),Lt=this.paint.get(\"line-offset\").evaluate(F,W);return Lt&&(re=function($t,fr){let mr=[];for(let Pr=0;Pr<$t.length;Pr++){let zr=$t[Pr],ui=[];for(let yi=0;yi<zr.length;yi++){let vn=zr[yi-1],zi=zr[yi],un=zr[yi+1],Tn=yi===0?new u(0,0):zi.sub(vn)._unit()._perp(),pa=yi===zr.length-1?new u(0,0):un.sub(zi)._unit()._perp(),ro=Tn._add(pa)._unit(),Vo=ro.x*pa.x+ro.y*pa.y;Vo!==0&&ro._mult(1/Vo),ui.push(ro._mult(fr)._add(zi))}mr.push(ui)}return mr}(re,Lt*ze)),function($t,fr,mr){for(let Pr=0;Pr<fr.length;Pr++){let zr=fr[Pr];if($t.length>=3){for(let 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SC(R,A){let{expression:F}=A;if(F.kind===\"constant\")return{kind:\"constant\",layoutSize:F.evaluate(new rs(R+1))};if(F.kind===\"source\")return{kind:\"source\"};{let{zoomStops:W,interpolationType:re}=F,fe=0;for(;fe<W.length&&W[fe]<=R;)fe++;fe=Math.max(0,fe-1);let pe=fe;for(;pe<W.length&&W[pe]<R+1;)pe++;pe=Math.min(W.length-1,pe);let ze=W[fe],Ke=W[pe];return F.kind===\"composite\"?{kind:\"composite\",minZoom:ze,maxZoom:Ke,interpolationType:re}:{kind:\"camera\",minZoom:ze,maxZoom:Ke,minSize:F.evaluate(new rs(ze)),maxSize:F.evaluate(new rs(Ke)),interpolationType:re}}}function sS(R,A,F){let W=\"never\",re=R.get(A);return re?W=re:R.get(F)&&(W=\"always\"),W}let Y9=br.VectorTileFeature.types,K9=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function Fw(R,A,F,W,re,fe,pe,ze,Ke,ct,Lt,$t,fr){let mr=ze?Math.min(um,Math.round(ze[0])):0,Pr=ze?Math.min(um,Math.round(ze[1])):0;R.emplaceBack(A,F,Math.round(32*W),Math.round(32*re),fe,pe,(mr<<1)+(Ke?1:0),Pr,16*ct,16*Lt,256*$t,256*fr)}function lS(R,A,F){R.emplaceBack(A.x,A.y,F),R.emplaceBack(A.x,A.y,F),R.emplaceBack(A.x,A.y,F),R.emplaceBack(A.x,A.y,F)}function uS(R){for(let A of R.sections)if(no(A.text))return!0;return!1}class cS{constructor(A){this.layoutVertexArray=new Ql,this.indexArray=new se,this.programConfigurations=A,this.segments=new Ye,this.dynamicLayoutVertexArray=new dc,this.opacityVertexArray=new Tl,this.hasVisibleVertices=!1,this.placedSymbolArray=new Ta}isEmpty(){return this.layoutVertexArray.length===0&&this.indexArray.length===0&&this.dynamicLayoutVertexArray.length===0&&this.opacityVertexArray.length===0}upload(A,F,W,re){this.isEmpty()||(W&&(this.layoutVertexBuffer=A.createVertexBuffer(this.layoutVertexArray,im.members),this.indexBuffer=A.createIndexBuffer(this.indexArray,F),this.dynamicLayoutVertexBuffer=A.createVertexBuffer(this.dynamicLayoutVertexArray,b1.members,!0),this.opacityVertexBuffer=A.createVertexBuffer(this.opacityVertexArray,K9,!0),this.opacityVertexBuffer.itemSize=1),(W||re)&&this.programConfigurations.upload(A))}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())}}Fi(\"SymbolBuffers\",cS);class cm{constructor(A,F,W){this.layoutVertexArray=new A,this.layoutAttributes=F,this.indexArray=new W,this.segments=new Ye,this.collisionVertexArray=new X}upload(A){this.layoutVertexBuffer=A.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=A.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=A.createVertexBuffer(this.collisionVertexArray,w1.members,!0)}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())}}Fi(\"CollisionBuffers\",cm);class M1{constructor(A){this.collisionBoxArray=A.collisionBoxArray,this.zoom=A.zoom,this.overscaling=A.overscaling,this.layers=A.layers,this.layerIds=this.layers.map(pe=>pe.id),this.index=A.index,this.pixelRatio=A.pixelRatio,this.sourceLayerIndex=A.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=Ri([]),this.placementViewportMatrix=Ri([]);let F=this.layers[0]._unevaluatedLayout._values;this.textSizeData=SC(this.zoom,F[\"text-size\"]),this.iconSizeData=SC(this.zoom,F[\"icon-size\"]);let W=this.layers[0].layout,re=W.get(\"symbol-sort-key\"),fe=W.get(\"symbol-z-order\");this.canOverlap=sS(W,\"text-overlap\",\"text-allow-overlap\")!==\"never\"||sS(W,\"icon-overlap\",\"icon-allow-overlap\")!==\"never\"||W.get(\"text-ignore-placement\")||W.get(\"icon-ignore-placement\"),this.sortFeaturesByKey=fe!==\"viewport-y\"&&!re.isConstant(),this.sortFeaturesByY=(fe===\"viewport-y\"||fe===\"auto\"&&!this.sortFeaturesByKey)&&this.canOverlap,W.get(\"symbol-placement\")===\"point\"&&(this.writingModes=W.get(\"text-writing-mode\").map(pe=>i.ah[pe])),this.stateDependentLayerIds=this.layers.filter(pe=>pe.isStateDependent()).map(pe=>pe.id),this.sourceID=A.sourceID}createArrays(){this.text=new cS(new Ms(this.layers,this.zoom,A=>/^text/.test(A))),this.icon=new cS(new Ms(this.layers,this.zoom,A=>/^icon/.test(A))),this.glyphOffsetArray=new Co,this.lineVertexArray=new Qa,this.symbolInstances=new $a,this.textAnchorOffsets=new Bo}calculateGlyphDependencies(A,F,W,re,fe){for(let pe=0;pe<A.length;pe++)if(F[A.charCodeAt(pe)]=!0,(W||re)&&fe){let ze=vc[A.charAt(pe)];ze&&(F[ze.charCodeAt(0)]=!0)}}populate(A,F,W){let re=this.layers[0],fe=re.layout,pe=fe.get(\"text-font\"),ze=fe.get(\"text-field\"),Ke=fe.get(\"icon-image\"),ct=(ze.value.kind!==\"constant\"||ze.value.value instanceof ri&&!ze.value.value.isEmpty()||ze.value.value.toString().length>0)&&(pe.value.kind!==\"constant\"||pe.value.value.length>0),Lt=Ke.value.kind!==\"constant\"||!!Ke.value.value||Object.keys(Ke.parameters).length>0,$t=fe.get(\"symbol-sort-key\");if(this.features=[],!ct&&!Lt)return;let fr=F.iconDependencies,mr=F.glyphDependencies,Pr=F.availableImages,zr=new rs(this.zoom);for(let{feature:ui,id:yi,index:vn,sourceLayerIndex:zi}of A){let un=re._featureFilter.needGeometry,Tn=Sl(ui,un);if(!re._featureFilter.filter(zr,Tn,W))continue;let pa,ro;if(un||(Tn.geometry=$s(ui)),ct){let Xa=re.getValueAndResolveTokens(\"text-field\",Tn,W,Pr),sa=ri.factory(Xa),Mo=this.hasRTLText=this.hasRTLText||uS(sa);(!Mo||ys.getRTLTextPluginStatus()===\"unavailable\"||Mo&&ys.isParsed())&&(pa=am(sa,re,Tn))}if(Lt){let Xa=re.getValueAndResolveTokens(\"icon-image\",Tn,W,Pr);ro=Xa instanceof tn?Xa:tn.fromString(Xa)}if(!pa&&!ro)continue;let Vo=this.sortFeaturesByKey?$t.evaluate(Tn,{},W):void 0;if(this.features.push({id:yi,text:pa,icon:ro,index:vn,sourceLayerIndex:zi,geometry:Tn.geometry,properties:ui.properties,type:Y9[ui.type],sortKey:Vo}),ro&&(fr[ro.name]=!0),pa){let Xa=pe.evaluate(Tn,{},W).join(\",\"),sa=fe.get(\"text-rotation-alignment\")!==\"viewport\"&&fe.get(\"symbol-placement\")!==\"point\";this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(i.ah.vertical)>=0;for(let Mo of pa.sections)if(Mo.image)fr[Mo.image.name]=!0;else{let fo=Ka(pa.toString()),lo=Mo.fontStack||Xa,Xn=mr[lo]=mr[lo]||{};this.calculateGlyphDependencies(Mo.text,Xn,sa,this.allowVerticalPlacement,fo)}}}fe.get(\"symbol-placement\")===\"line\"&&(this.features=function(ui){let yi={},vn={},zi=[],un=0;function Tn(Xa){zi.push(ui[Xa]),un++}function pa(Xa,sa,Mo){let fo=vn[Xa];return delete vn[Xa],vn[sa]=fo,zi[fo].geometry[0].pop(),zi[fo].geometry[0]=zi[fo].geometry[0].concat(Mo[0]),fo}function ro(Xa,sa,Mo){let fo=yi[sa];return delete yi[sa],yi[Xa]=fo,zi[fo].geometry[0].shift(),zi[fo].geometry[0]=Mo[0].concat(zi[fo].geometry[0]),fo}function Vo(Xa,sa,Mo){let fo=Mo?sa[0][sa[0].length-1]:sa[0][0];return`${Xa}:${fo.x}:${fo.y}`}for(let Xa=0;Xa<ui.length;Xa++){let sa=ui[Xa],Mo=sa.geometry,fo=sa.text?sa.text.toString():null;if(!fo){Tn(Xa);continue}let lo=Vo(fo,Mo),Xn=Vo(fo,Mo,!0);if(lo in vn&&Xn in yi&&vn[lo]!==yi[Xn]){let Ro=ro(lo,Xn,Mo),uo=pa(lo,Xn,zi[Ro].geometry);delete yi[lo],delete vn[Xn],vn[Vo(fo,zi[uo].geometry,!0)]=uo,zi[Ro].geometry=null}else lo in vn?pa(lo,Xn,Mo):Xn in yi?ro(lo,Xn,Mo):(Tn(Xa),yi[lo]=un-1,vn[Xn]=un-1)}return zi.filter(Xa=>Xa.geometry)}(this.features)),this.sortFeaturesByKey&&this.features.sort((ui,yi)=>ui.sortKey-yi.sortKey)}update(A,F,W){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(A,F,this.layers,W),this.icon.programConfigurations.updatePaintArrays(A,F,this.layers,W))}isEmpty(){return this.symbolInstances.length===0&&!this.hasRTLText}uploadPending(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload}upload(A){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(A),this.iconCollisionBox.upload(A)),this.text.upload(A,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(A,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0}destroyDebugData(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()}destroy(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()}addToLineVertexArray(A,F){let W=this.lineVertexArray.length;if(A.segment!==void 0){let re=A.dist(F[A.segment+1]),fe=A.dist(F[A.segment]),pe={};for(let ze=A.segment+1;ze<F.length;ze++)pe[ze]={x:F[ze].x,y:F[ze].y,tileUnitDistanceFromAnchor:re},ze<F.length-1&&(re+=F[ze+1].dist(F[ze]));for(let ze=A.segment||0;ze>=0;ze--)pe[ze]={x:F[ze].x,y:F[ze].y,tileUnitDistanceFromAnchor:fe},ze>0&&(fe+=F[ze-1].dist(F[ze]));for(let ze=0;ze<F.length;ze++){let Ke=pe[ze];this.lineVertexArray.emplaceBack(Ke.x,Ke.y,Ke.tileUnitDistanceFromAnchor)}}return{lineStartIndex:W,lineLength:this.lineVertexArray.length-W}}addSymbols(A,F,W,re,fe,pe,ze,Ke,ct,Lt,$t,fr){let mr=A.indexArray,Pr=A.layoutVertexArray,zr=A.segments.prepareSegment(4*F.length,Pr,mr,this.canOverlap?pe.sortKey:void 0),ui=this.glyphOffsetArray.length,yi=zr.vertexLength,vn=this.allowVerticalPlacement&&ze===i.ah.vertical?Math.PI/2:0,zi=pe.text&&pe.text.sections;for(let un=0;un<F.length;un++){let{tl:Tn,tr:pa,bl:ro,br:Vo,tex:Xa,pixelOffsetTL:sa,pixelOffsetBR:Mo,minFontScaleX:fo,minFontScaleY:lo,glyphOffset:Xn,isSDF:Ro,sectionIndex:uo}=F[un],$o=zr.vertexLength,Ju=Xn[1];Fw(Pr,Ke.x,Ke.y,Tn.x,Ju+Tn.y,Xa.x,Xa.y,W,Ro,sa.x,sa.y,fo,lo),Fw(Pr,Ke.x,Ke.y,pa.x,Ju+pa.y,Xa.x+Xa.w,Xa.y,W,Ro,Mo.x,sa.y,fo,lo),Fw(Pr,Ke.x,Ke.y,ro.x,Ju+ro.y,Xa.x,Xa.y+Xa.h,W,Ro,sa.x,Mo.y,fo,lo),Fw(Pr,Ke.x,Ke.y,Vo.x,Ju+Vo.y,Xa.x+Xa.w,Xa.y+Xa.h,W,Ro,Mo.x,Mo.y,fo,lo),lS(A.dynamicLayoutVertexArray,Ke,vn),mr.emplaceBack($o,$o+1,$o+2),mr.emplaceBack($o+1,$o+2,$o+3),zr.vertexLength+=4,zr.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(Xn[0]),un!==F.length-1&&uo===F[un+1].sectionIndex||A.programConfigurations.populatePaintArrays(Pr.length,pe,pe.index,{},fr,zi&&zi[uo])}A.placedSymbolArray.emplaceBack(Ke.x,Ke.y,ui,this.glyphOffsetArray.length-ui,yi,ct,Lt,Ke.segment,W?W[0]:0,W?W[1]:0,re[0],re[1],ze,0,!1,0,$t)}_addCollisionDebugVertex(A,F,W,re,fe,pe){return F.emplaceBack(0,0),A.emplaceBack(W.x,W.y,re,fe,Math.round(pe.x),Math.round(pe.y))}addCollisionDebugVertices(A,F,W,re,fe,pe,ze){let Ke=fe.segments.prepareSegment(4,fe.layoutVertexArray,fe.indexArray),ct=Ke.vertexLength,Lt=fe.layoutVertexArray,$t=fe.collisionVertexArray,fr=ze.anchorX,mr=ze.anchorY;this._addCollisionDebugVertex(Lt,$t,pe,fr,mr,new u(A,F)),this._addCollisionDebugVertex(Lt,$t,pe,fr,mr,new u(W,F)),this._addCollisionDebugVertex(Lt,$t,pe,fr,mr,new u(W,re)),this._addCollisionDebugVertex(Lt,$t,pe,fr,mr,new u(A,re)),Ke.vertexLength+=4;let Pr=fe.indexArray;Pr.emplaceBack(ct,ct+1),Pr.emplaceBack(ct+1,ct+2),Pr.emplaceBack(ct+2,ct+3),Pr.emplaceBack(ct+3,ct),Ke.primitiveLength+=4}addDebugCollisionBoxes(A,F,W,re){for(let fe=A;fe<F;fe++){let pe=this.collisionBoxArray.get(fe);this.addCollisionDebugVertices(pe.x1,pe.y1,pe.x2,pe.y2,re?this.textCollisionBox:this.iconCollisionBox,pe.anchorPoint,W)}}generateCollisionDebugBuffers(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new cm(Al,sy.members,Te),this.iconCollisionBox=new cm(Al,sy.members,Te);for(let A=0;A<this.symbolInstances.length;A++){let F=this.symbolInstances.get(A);this.addDebugCollisionBoxes(F.textBoxStartIndex,F.textBoxEndIndex,F,!0),this.addDebugCollisionBoxes(F.verticalTextBoxStartIndex,F.verticalTextBoxEndIndex,F,!0),this.addDebugCollisionBoxes(F.iconBoxStartIndex,F.iconBoxEndIndex,F,!1),this.addDebugCollisionBoxes(F.verticalIconBoxStartIndex,F.verticalIconBoxEndIndex,F,!1)}}_deserializeCollisionBoxesForSymbol(A,F,W,re,fe,pe,ze,Ke,ct){let Lt={};for(let $t=F;$t<W;$t++){let fr=A.get($t);Lt.textBox={x1:fr.x1,y1:fr.y1,x2:fr.x2,y2:fr.y2,anchorPointX:fr.anchorPointX,anchorPointY:fr.anchorPointY},Lt.textFeatureIndex=fr.featureIndex;break}for(let $t=re;$t<fe;$t++){let fr=A.get($t);Lt.verticalTextBox={x1:fr.x1,y1:fr.y1,x2:fr.x2,y2:fr.y2,anchorPointX:fr.anchorPointX,anchorPointY:fr.anchorPointY},Lt.verticalTextFeatureIndex=fr.featureIndex;break}for(let $t=pe;$t<ze;$t++){let fr=A.get($t);Lt.iconBox={x1:fr.x1,y1:fr.y1,x2:fr.x2,y2:fr.y2,anchorPointX:fr.anchorPointX,anchorPointY:fr.anchorPointY},Lt.iconFeatureIndex=fr.featureIndex;break}for(let $t=Ke;$t<ct;$t++){let fr=A.get($t);Lt.verticalIconBox={x1:fr.x1,y1:fr.y1,x2:fr.x2,y2:fr.y2,anchorPointX:fr.anchorPointX,anchorPointY:fr.anchorPointY},Lt.verticalIconFeatureIndex=fr.featureIndex;break}return Lt}deserializeCollisionBoxes(A){this.collisionArrays=[];for(let F=0;F<this.symbolInstances.length;F++){let W=this.symbolInstances.get(F);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(A,W.textBoxStartIndex,W.textBoxEndIndex,W.verticalTextBoxStartIndex,W.verticalTextBoxEndIndex,W.iconBoxStartIndex,W.iconBoxEndIndex,W.verticalIconBoxStartIndex,W.verticalIconBoxEndIndex))}}hasTextData(){return this.text.segments.get().length>0}hasIconData(){return this.icon.segments.get().length>0}hasDebugData(){return this.textCollisionBox&&this.iconCollisionBox}hasTextCollisionBoxData(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0}hasIconCollisionBoxData(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0}addIndicesForPlacedSymbol(A,F){let W=A.placedSymbolArray.get(F),re=W.vertexStartIndex+4*W.numGlyphs;for(let fe=W.vertexStartIndex;fe<re;fe+=4)A.indexArray.emplaceBack(fe,fe+1,fe+2),A.indexArray.emplaceBack(fe+1,fe+2,fe+3)}getSortedSymbolIndexes(A){if(this.sortedAngle===A&&this.symbolInstanceIndexes!==void 0)return this.symbolInstanceIndexes;let F=Math.sin(A),W=Math.cos(A),re=[],fe=[],pe=[];for(let ze=0;ze<this.symbolInstances.length;++ze){pe.push(ze);let Ke=this.symbolInstances.get(ze);re.push(0|Math.round(F*Ke.anchorX+W*Ke.anchorY)),fe.push(Ke.featureIndex)}return pe.sort((ze,Ke)=>re[ze]-re[Ke]||fe[Ke]-fe[ze]),pe}addToSortKeyRanges(A,F){let W=this.sortKeyRanges[this.sortKeyRanges.length-1];W&&W.sortKey===F?W.symbolInstanceEnd=A+1:this.sortKeyRanges.push({sortKey:F,symbolInstanceStart:A,symbolInstanceEnd:A+1})}sortFeatures(A){if(this.sortFeaturesByY&&this.sortedAngle!==A&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(A),this.sortedAngle=A,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(let F of this.symbolInstanceIndexes){let W=this.symbolInstances.get(F);this.featureSortOrder.push(W.featureIndex),[W.rightJustifiedTextSymbolIndex,W.centerJustifiedTextSymbolIndex,W.leftJustifiedTextSymbolIndex].forEach((re,fe,pe)=>{re>=0&&pe.indexOf(re)===fe&&this.addIndicesForPlacedSymbol(this.text,re)}),W.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,W.verticalPlacedTextSymbolIndex),W.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,W.placedIconSymbolIndex),W.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,W.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}}}let Tf,Xx;Fi(\"SymbolBucket\",M1,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),M1.MAX_GLYPHS=65535,M1.addDynamicAttributes=lS;var zw={get paint(){return Xx=Xx||new ue({\"icon-opacity\":new oo(ce.paint_symbol[\"icon-opacity\"]),\"icon-color\":new oo(ce.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new oo(ce.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new oo(ce.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new oo(ce.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new Ua(ce.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new Ua(ce.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new oo(ce.paint_symbol[\"text-opacity\"]),\"text-color\":new oo(ce.paint_symbol[\"text-color\"],{runtimeType:er,getOverride:R=>R.textColor,hasOverride:R=>!!R.textColor}),\"text-halo-color\":new oo(ce.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new oo(ce.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new oo(ce.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new Ua(ce.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new Ua(ce.paint_symbol[\"text-translate-anchor\"])})},get layout(){return Tf=Tf||new ue({\"symbol-placement\":new Ua(ce.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new Ua(ce.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new Ua(ce.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new oo(ce.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new Ua(ce.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new Ua(ce.layout_symbol[\"icon-allow-overlap\"]),\"icon-overlap\":new Ua(ce.layout_symbol[\"icon-overlap\"]),\"icon-ignore-placement\":new Ua(ce.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new Ua(ce.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new Ua(ce.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new oo(ce.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new Ua(ce.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new Ua(ce.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new oo(ce.layout_symbol[\"icon-image\"]),\"icon-rotate\":new oo(ce.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new oo(ce.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new Ua(ce.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new oo(ce.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new oo(ce.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new Ua(ce.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new Ua(ce.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new Ua(ce.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new oo(ce.layout_symbol[\"text-field\"]),\"text-font\":new oo(ce.layout_symbol[\"text-font\"]),\"text-size\":new oo(ce.layout_symbol[\"text-size\"]),\"text-max-width\":new oo(ce.layout_symbol[\"text-max-width\"]),\"text-line-height\":new Ua(ce.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new oo(ce.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new oo(ce.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new oo(ce.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new Ua(ce.layout_symbol[\"text-variable-anchor\"]),\"text-variable-anchor-offset\":new oo(ce.layout_symbol[\"text-variable-anchor-offset\"]),\"text-anchor\":new oo(ce.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new Ua(ce.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new Ua(ce.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new oo(ce.layout_symbol[\"text-rotate\"]),\"text-padding\":new Ua(ce.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new Ua(ce.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new oo(ce.layout_symbol[\"text-transform\"]),\"text-offset\":new oo(ce.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new Ua(ce.layout_symbol[\"text-allow-overlap\"]),\"text-overlap\":new Ua(ce.layout_symbol[\"text-overlap\"]),\"text-ignore-placement\":new Ua(ce.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new Ua(ce.layout_symbol[\"text-optional\"])})}};class Zx{constructor(A){if(A.property.overrides===void 0)throw new Error(\"overrides must be provided to instantiate FormatSectionOverride class\");this.type=A.property.overrides?A.property.overrides.runtimeType:Vt,this.defaultValue=A}evaluate(A){if(A.formattedSection){let F=this.defaultValue.property.overrides;if(F&&F.hasOverride(A.formattedSection))return F.getOverride(A.formattedSection)}return A.feature&&A.featureState?this.defaultValue.evaluate(A.feature,A.featureState):this.defaultValue.property.specification.default}eachChild(A){this.defaultValue.isConstant()||A(this.defaultValue.value._styleExpression.expression)}outputDefined(){return!1}serialize(){return null}}Fi(\"FormatSectionOverride\",Zx,{omit:[\"defaultValue\"]});class cy extends B{constructor(A){super(A,zw)}recalculate(A,F){if(super.recalculate(A,F),this.layout.get(\"icon-rotation-alignment\")===\"auto\"&&(this.layout._values[\"icon-rotation-alignment\"]=this.layout.get(\"symbol-placement\")!==\"point\"?\"map\":\"viewport\"),this.layout.get(\"text-rotation-alignment\")===\"auto\"&&(this.layout._values[\"text-rotation-alignment\"]=this.layout.get(\"symbol-placement\")!==\"point\"?\"map\":\"viewport\"),this.layout.get(\"text-pitch-alignment\")===\"auto\"&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")===\"map\"?\"map\":\"viewport\"),this.layout.get(\"icon-pitch-alignment\")===\"auto\"&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),this.layout.get(\"symbol-placement\")===\"point\"){let W=this.layout.get(\"text-writing-mode\");if(W){let re=[];for(let fe of W)re.indexOf(fe)<0&&re.push(fe);this.layout._values[\"text-writing-mode\"]=re}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()}getValueAndResolveTokens(A,F,W,re){let fe=this.layout.get(A).evaluate(F,{},W,re),pe=this._unevaluatedLayout._values[A];return pe.isDataDriven()||Dc(pe.value)||!fe?fe:function(ze,Ke){return Ke.replace(/{([^{}]+)}/g,(ct,Lt)=>ze&&Lt in ze?String(ze[Lt]):\"\")}(F.properties,fe)}createBucket(A){return new M1(A)}queryRadius(){return 0}queryIntersectsFeature(){throw new Error(\"Should take a different path in FeatureIndex\")}_setPaintOverrides(){for(let A of zw.paint.overridableProperties){if(!cy.hasPaintOverride(this.layout,A))continue;let F=this.paint.get(A),W=new Zx(F),re=new Eu(W,F.property.specification),fe=null;fe=F.value.kind===\"constant\"||F.value.kind===\"source\"?new bc(\"source\",re):new hu(\"composite\",re,F.value.zoomStops),this.paint._values[A]=new xu(F.property,fe,F.parameters)}}_handleOverridablePaintPropertyUpdate(A,F,W){return!(!this.layout||F.isDataDriven()||W.isDataDriven())&&cy.hasPaintOverride(this.layout,A)}static hasPaintOverride(A,F){let W=A.get(\"text-field\"),re=zw.paint.properties[F],fe=!1,pe=ze=>{for(let Ke of ze)if(re.overrides&&re.overrides.hasOverride(Ke))return void(fe=!0)};if(W.value.kind===\"constant\"&&W.value.value instanceof ri)pe(W.value.value.sections);else if(W.value.kind===\"source\"){let ze=ct=>{fe||(ct instanceof ua&&Sn(ct.value)===ti?pe(ct.value.sections):ct instanceof Zl?pe(ct.sections):ct.eachChild(ze))},Ke=W.value;Ke._styleExpression&&ze(Ke._styleExpression.expression)}return fe}}let MC;var Yx={get paint(){return MC=MC||new ue({\"background-color\":new Ua(ce.paint_background[\"background-color\"]),\"background-pattern\":new hc(ce.paint_background[\"background-pattern\"]),\"background-opacity\":new Ua(ce.paint_background[\"background-opacity\"])})}};class J9 extends B{constructor(A){super(A,Yx)}}let fS;var EC={get paint(){return fS=fS||new ue({\"raster-opacity\":new Ua(ce.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new Ua(ce.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new Ua(ce.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new Ua(ce.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new Ua(ce.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new Ua(ce.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new Ua(ce.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new Ua(ce.paint_raster[\"raster-fade-duration\"])})}};class Kx extends B{constructor(A){super(A,EC)}}class hS extends B{constructor(A){super(A,{}),this.onAdd=F=>{this.implementation.onAdd&&this.implementation.onAdd(F,F.painter.context.gl)},this.onRemove=F=>{this.implementation.onRemove&&this.implementation.onRemove(F,F.painter.context.gl)},this.implementation=A}is3D(){return this.implementation.renderingMode===\"3d\"}hasOffscreenPass(){return this.implementation.prerender!==void 0}recalculate(){}updateTransitions(){}hasTransition(){return!1}serialize(){throw new Error(\"Custom layers cannot be serialized\")}}class dS{constructor(A){this._methodToThrottle=A,this._triggered=!1,typeof MessageChannel!=\"undefined\"&&(this._channel=new MessageChannel,this._channel.port2.onmessage=()=>{this._triggered=!1,this._methodToThrottle()})}trigger(){this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout(()=>{this._triggered=!1,this._methodToThrottle()},0))}remove(){delete this._channel,this._methodToThrottle=()=>{}}}let vS=63710088e-1;class dg{constructor(A,F){if(isNaN(A)||isNaN(F))throw new Error(`Invalid LngLat object: (${A}, ${F})`);if(this.lng=+A,this.lat=+F,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")}wrap(){return new dg(S(this.lng,-180,180),this.lat)}toArray(){return[this.lng,this.lat]}toString(){return`LngLat(${this.lng}, ${this.lat})`}distanceTo(A){let F=Math.PI/180,W=this.lat*F,re=A.lat*F,fe=Math.sin(W)*Math.sin(re)+Math.cos(W)*Math.cos(re)*Math.cos((A.lng-this.lng)*F);return vS*Math.acos(Math.min(fe,1))}static convert(A){if(A instanceof dg)return A;if(Array.isArray(A)&&(A.length===2||A.length===3))return new dg(Number(A[0]),Number(A[1]));if(!Array.isArray(A)&&typeof A==\"object\"&&A!==null)return new dg(Number(\"lng\"in A?A.lng:A.lon),Number(A.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>]\")}}let E1=2*Math.PI*vS;function kC(R){return E1*Math.cos(R*Math.PI/180)}function Ow(R){return(180+R)/360}function CC(R){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+R*Math.PI/360)))/360}function qw(R,A){return R/kC(A)}function Jx(R){return 360/Math.PI*Math.atan(Math.exp((180-360*R)*Math.PI/180))-90}class $x{constructor(A,F,W=0){this.x=+A,this.y=+F,this.z=+W}static fromLngLat(A,F=0){let W=dg.convert(A);return new $x(Ow(W.lng),CC(W.lat),qw(F,W.lat))}toLngLat(){return new dg(360*this.x-180,Jx(this.y))}toAltitude(){return this.z*kC(Jx(this.y))}meterInMercatorCoordinateUnits(){return 1/E1*(A=Jx(this.y),1/Math.cos(A*Math.PI/180));var A}}function mp(R,A,F){var W=2*Math.PI*6378137/256/Math.pow(2,F);return[R*W-2*Math.PI*6378137/2,A*W-2*Math.PI*6378137/2]}class pS{constructor(A,F,W){if(!function(re,fe,pe){return!(re<0||re>25||pe<0||pe>=Math.pow(2,re)||fe<0||fe>=Math.pow(2,re))}(A,F,W))throw new Error(`x=${F}, y=${W}, z=${A} outside of bounds. 0<=x<${Math.pow(2,A)}, 0<=y<${Math.pow(2,A)} 0<=z<=25 `);this.z=A,this.x=F,this.y=W,this.key=Qx(0,A,A,F,W)}equals(A){return this.z===A.z&&this.x===A.x&&this.y===A.y}url(A,F,W){let re=(pe=this.y,ze=this.z,Ke=mp(256*(fe=this.x),256*(pe=Math.pow(2,ze)-pe-1),ze),ct=mp(256*(fe+1),256*(pe+1),ze),Ke[0]+\",\"+Ke[1]+\",\"+ct[0]+\",\"+ct[1]);var fe,pe,ze,Ke,ct;let Lt=function($t,fr,mr){let Pr,zr=\"\";for(let ui=$t;ui>0;ui--)Pr=1<<ui-1,zr+=(fr&Pr?1:0)+(mr&Pr?2:0);return zr}(this.z,this.x,this.y);return A[(this.x+this.y)%A.length].replace(/{prefix}/g,(this.x%16).toString(16)+(this.y%16).toString(16)).replace(/{z}/g,String(this.z)).replace(/{x}/g,String(this.x)).replace(/{y}/g,String(W===\"tms\"?Math.pow(2,this.z)-this.y-1:this.y)).replace(/{ratio}/g,F>1?\"@2x\":\"\").replace(/{quadkey}/g,Lt).replace(/{bbox-epsg-3857}/g,re)}isChildOf(A){let F=this.z-A.z;return F>0&&A.x===this.x>>F&&A.y===this.y>>F}getTilePoint(A){let F=Math.pow(2,this.z);return new u((A.x*F-this.x)*ja,(A.y*F-this.y)*ja)}toString(){return`${this.z}/${this.x}/${this.y}`}}class LC{constructor(A,F){this.wrap=A,this.canonical=F,this.key=Qx(A,F.z,F.z,F.x,F.y)}}class $v{constructor(A,F,W,re,fe){if(A<W)throw new Error(`overscaledZ should be >= z; overscaledZ = ${A}; z = ${W}`);this.overscaledZ=A,this.wrap=F,this.canonical=new pS(W,+re,+fe),this.key=Qx(F,A,W,re,fe)}clone(){return new $v(this.overscaledZ,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)}equals(A){return this.overscaledZ===A.overscaledZ&&this.wrap===A.wrap&&this.canonical.equals(A.canonical)}scaledTo(A){if(A>this.overscaledZ)throw new Error(`targetZ > this.overscaledZ; targetZ = ${A}; overscaledZ = ${this.overscaledZ}`);let F=this.canonical.z-A;return A>this.canonical.z?new $v(A,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new $v(A,this.wrap,A,this.canonical.x>>F,this.canonical.y>>F)}calculateScaledKey(A,F){if(A>this.overscaledZ)throw new Error(`targetZ > this.overscaledZ; targetZ = ${A}; overscaledZ = ${this.overscaledZ}`);let W=this.canonical.z-A;return A>this.canonical.z?Qx(this.wrap*+F,A,this.canonical.z,this.canonical.x,this.canonical.y):Qx(this.wrap*+F,A,A,this.canonical.x>>W,this.canonical.y>>W)}isChildOf(A){if(A.wrap!==this.wrap)return!1;let F=this.canonical.z-A.canonical.z;return A.overscaledZ===0||A.overscaledZ<this.overscaledZ&&A.canonical.x===this.canonical.x>>F&&A.canonical.y===this.canonical.y>>F}children(A){if(this.overscaledZ>=A)return[new $v(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];let F=this.canonical.z+1,W=2*this.canonical.x,re=2*this.canonical.y;return[new $v(F,this.wrap,F,W,re),new $v(F,this.wrap,F,W+1,re),new $v(F,this.wrap,F,W,re+1),new $v(F,this.wrap,F,W+1,re+1)]}isLessThan(A){return this.wrap<A.wrap||!(this.wrap>A.wrap)&&(this.overscaledZ<A.overscaledZ||!(this.overscaledZ>A.overscaledZ)&&(this.canonical.x<A.canonical.x||!(this.canonical.x>A.canonical.x)&&this.canonical.y<A.canonical.y))}wrapped(){return new $v(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)}unwrapTo(A){return new $v(this.overscaledZ,A,this.canonical.z,this.canonical.x,this.canonical.y)}overscaleFactor(){return Math.pow(2,this.overscaledZ-this.canonical.z)}toUnwrapped(){return new LC(this.wrap,this.canonical)}toString(){return`${this.overscaledZ}/${this.canonical.x}/${this.canonical.y}`}getTilePoint(A){return this.canonical.getTilePoint(new $x(A.x-this.wrap,A.y))}}function Qx(R,A,F,W,re){(R*=2)<0&&(R=-1*R-1);let fe=1<<F;return(fe*fe*R+fe*re+W).toString(36)+F.toString(36)+A.toString(36)}Fi(\"CanonicalTileID\",pS),Fi(\"OverscaledTileID\",$v,{omit:[\"posMatrix\"]});class PC{constructor(A,F,W,re=1,fe=1,pe=1,ze=0){if(this.uid=A,F.height!==F.width)throw new RangeError(\"DEM tiles must be square\");if(W&&![\"mapbox\",\"terrarium\",\"custom\"].includes(W))return void T(`\"${W}\" is not a valid encoding type. Valid types include \"mapbox\", \"terrarium\" and \"custom\".`);this.stride=F.height;let Ke=this.dim=F.height-2;switch(this.data=new Uint32Array(F.data.buffer),W){case\"terrarium\":this.redFactor=256,this.greenFactor=1,this.blueFactor=1/256,this.baseShift=32768;break;case\"custom\":this.redFactor=re,this.greenFactor=fe,this.blueFactor=pe,this.baseShift=ze;break;default:this.redFactor=6553.6,this.greenFactor=25.6,this.blueFactor=.1,this.baseShift=1e4}for(let ct=0;ct<Ke;ct++)this.data[this._idx(-1,ct)]=this.data[this._idx(0,ct)],this.data[this._idx(Ke,ct)]=this.data[this._idx(Ke-1,ct)],this.data[this._idx(ct,-1)]=this.data[this._idx(ct,0)],this.data[this._idx(ct,Ke)]=this.data[this._idx(ct,Ke-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(Ke,-1)]=this.data[this._idx(Ke-1,0)],this.data[this._idx(-1,Ke)]=this.data[this._idx(0,Ke-1)],this.data[this._idx(Ke,Ke)]=this.data[this._idx(Ke-1,Ke-1)],this.min=Number.MAX_SAFE_INTEGER,this.max=Number.MIN_SAFE_INTEGER;for(let ct=0;ct<Ke;ct++)for(let Lt=0;Lt<Ke;Lt++){let $t=this.get(ct,Lt);$t>this.max&&(this.max=$t),$t<this.min&&(this.min=$t)}}get(A,F){let W=new Uint8Array(this.data.buffer),re=4*this._idx(A,F);return this.unpack(W[re],W[re+1],W[re+2])}getUnpackVector(){return[this.redFactor,this.greenFactor,this.blueFactor,this.baseShift]}_idx(A,F){if(A<-1||A>=this.dim+1||F<-1||F>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(F+1)*this.stride+(A+1)}unpack(A,F,W){return A*this.redFactor+F*this.greenFactor+W*this.blueFactor-this.baseShift}getPixels(){return new Ki({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))}backfillBorder(A,F,W){if(this.dim!==A.dim)throw new Error(\"dem dimension mismatch\");let re=F*this.dim,fe=F*this.dim+this.dim,pe=W*this.dim,ze=W*this.dim+this.dim;switch(F){case-1:re=fe-1;break;case 1:fe=re+1}switch(W){case-1:pe=ze-1;break;case 1:ze=pe+1}let Ke=-F*this.dim,ct=-W*this.dim;for(let Lt=pe;Lt<ze;Lt++)for(let $t=re;$t<fe;$t++)this.data[this._idx($t,Lt)]=A.data[this._idx($t+Ke,Lt+ct)]}}Fi(\"DEMData\",PC);class IC{constructor(A){this._stringToNumber={},this._numberToString=[];for(let F=0;F<A.length;F++){let W=A[F];this._stringToNumber[W]=F,this._numberToString[F]=W}}encode(A){return this._stringToNumber[A]}decode(A){if(A>=this._numberToString.length)throw new Error(`Out of bounds. Index requested n=${A} can't be >= this._numberToString.length ${this._numberToString.length}`);return this._numberToString[A]}}class gS{constructor(A,F,W,re,fe){this.type=\"Feature\",this._vectorTileFeature=A,A._z=F,A._x=W,A._y=re,this.properties=A.properties,this.id=fe}get geometry(){return this._geometry===void 0&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry}set geometry(A){this._geometry=A}toJSON(){let A={geometry:this.geometry};for(let F in this)F!==\"_geometry\"&&F!==\"_vectorTileFeature\"&&(A[F]=this[F]);return A}}class fy{constructor(A,F){this.tileID=A,this.x=A.canonical.x,this.y=A.canonical.y,this.z=A.canonical.z,this.grid=new Qi(ja,16,0),this.grid3D=new Qi(ja,16,0),this.featureIndexArray=new Ts,this.promoteId=F}insert(A,F,W,re,fe,pe){let ze=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(W,re,fe);let Ke=pe?this.grid3D:this.grid;for(let ct=0;ct<F.length;ct++){let Lt=F[ct],$t=[1/0,1/0,-1/0,-1/0];for(let fr=0;fr<Lt.length;fr++){let mr=Lt[fr];$t[0]=Math.min($t[0],mr.x),$t[1]=Math.min($t[1],mr.y),$t[2]=Math.max($t[2],mr.x),$t[3]=Math.max($t[3],mr.y)}$t[0]<ja&&$t[1]<ja&&$t[2]>=0&&$t[3]>=0&&Ke.insert(ze,$t[0],$t[1],$t[2],$t[3])}}loadVTLayers(){return this.vtLayers||(this.vtLayers=new br.VectorTile(new nS(this.rawTileData)).layers,this.sourceLayerCoder=new IC(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers}query(A,F,W,re){this.loadVTLayers();let fe=A.params||{},pe=ja/A.tileSize/A.scale,ze=Fc(fe.filter),Ke=A.queryGeometry,ct=A.queryPadding*pe,Lt=DC(Ke),$t=this.grid.query(Lt.minX-ct,Lt.minY-ct,Lt.maxX+ct,Lt.maxY+ct),fr=DC(A.cameraQueryGeometry),mr=this.grid3D.query(fr.minX-ct,fr.minY-ct,fr.maxX+ct,fr.maxY+ct,(ui,yi,vn,zi)=>function(un,Tn,pa,ro,Vo){for(let sa of un)if(Tn<=sa.x&&pa<=sa.y&&ro>=sa.x&&Vo>=sa.y)return!0;let Xa=[new u(Tn,pa),new u(Tn,Vo),new u(ro,Vo),new u(ro,pa)];if(un.length>2){for(let sa of Xa)if(Ui(un,sa))return!0}for(let sa=0;sa<un.length-1;sa++)if(qi(un[sa],un[sa+1],Xa))return!0;return!1}(A.cameraQueryGeometry,ui-ct,yi-ct,vn+ct,zi+ct));for(let ui of mr)$t.push(ui);$t.sort($9);let Pr={},zr;for(let ui=0;ui<$t.length;ui++){let yi=$t[ui];if(yi===zr)continue;zr=yi;let vn=this.featureIndexArray.get(yi),zi=null;this.loadMatchingFeature(Pr,vn.bucketIndex,vn.sourceLayerIndex,vn.featureIndex,ze,fe.layers,fe.availableImages,F,W,re,(un,Tn,pa)=>(zi||(zi=$s(un)),Tn.queryIntersectsFeature(Ke,un,pa,zi,this.z,A.transform,pe,A.pixelPosMatrix)))}return Pr}loadMatchingFeature(A,F,W,re,fe,pe,ze,Ke,ct,Lt,$t){let fr=this.bucketLayerIDs[F];if(pe&&!function(ui,yi){for(let vn=0;vn<ui.length;vn++)if(yi.indexOf(ui[vn])>=0)return!0;return!1}(pe,fr))return;let mr=this.sourceLayerCoder.decode(W),Pr=this.vtLayers[mr].feature(re);if(fe.needGeometry){let ui=Sl(Pr,!0);if(!fe.filter(new rs(this.tileID.overscaledZ),ui,this.tileID.canonical))return}else if(!fe.filter(new rs(this.tileID.overscaledZ),Pr))return;let zr=this.getId(Pr,mr);for(let ui=0;ui<fr.length;ui++){let yi=fr[ui];if(pe&&pe.indexOf(yi)<0)continue;let vn=Ke[yi];if(!vn)continue;let zi={};zr&&Lt&&(zi=Lt.getState(vn.sourceLayer||\"_geojsonTileLayer\",zr));let un=L({},ct[yi]);un.paint=RC(un.paint,vn.paint,Pr,zi,ze),un.layout=RC(un.layout,vn.layout,Pr,zi,ze);let Tn=!$t||$t(Pr,vn,zi);if(!Tn)continue;let pa=new gS(Pr,this.z,this.x,this.y,zr);pa.layer=un;let ro=A[yi];ro===void 0&&(ro=A[yi]=[]),ro.push({featureIndex:re,feature:pa,intersectionZ:Tn})}}lookupSymbolFeatures(A,F,W,re,fe,pe,ze,Ke){let ct={};this.loadVTLayers();let Lt=Fc(fe);for(let $t of A)this.loadMatchingFeature(ct,W,re,$t,Lt,pe,ze,Ke,F);return ct}hasLayer(A){for(let F of this.bucketLayerIDs)for(let W of F)if(A===W)return!0;return!1}getId(A,F){let W=A.id;return this.promoteId&&(W=A.properties[typeof this.promoteId==\"string\"?this.promoteId:this.promoteId[F]],typeof W==\"boolean\"&&(W=Number(W))),W}}function 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xe={},ke={featureIndex:Ie,iconDependencies:{},patternDependencies:{},glyphDependencies:{},availableImages:je},vt=Je.familiesBySource[this.source];for(let qn in vt){let Fn=Ge.layers[qn];if(!Fn)continue;Fn.version===1&&i.w(`Vector tile source \"${this.source}\" layer \"${qn}\" does not use vector tile spec v2 and therefore may have some rendering errors.`);let ra=xt.encode(qn),la=[];for(let Ut=0;Ut<Fn.length;Ut++){let wt=Fn.feature(Ut),rr=Ie.getId(wt,qn);la.push({feature:wt,id:rr,index:Ut,sourceLayerIndex:ra})}for(let Ut of vt[qn]){let wt=Ut[0];wt.source!==this.source&&i.w(`layer.source = ${wt.source} does not equal this.source = 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this.status=\"done\",{buckets:Object.values(xe).filter(qn=>!qn.isEmpty()),featureIndex:Ie,collisionBoxArray:this.collisionBoxArray,glyphAtlasImage:wi.image,imageAtlas:On,glyphMap:this.returnDependencies?di:null,iconMap:this.returnDependencies?ji:null,glyphPositions:this.returnDependencies?wi.positions:null}})}}function l(dt,Ge,Je){let je=new i.z(Ge);for(let tt of dt)tt.recalculate(je,Je)}class u{constructor(Ge,Je,je){this.actor=Ge,this.layerIndex=Je,this.availableImages=je,this.fetching={},this.loading={},this.loaded={}}loadVectorTile(Ge,Je){return i._(this,void 0,void 0,function*(){let je=yield i.l(Ge.request,Je);try{return{vectorTile:new i.bt.VectorTile(new i.bu(je.data)),rawData:je.data,cacheControl:je.cacheControl,expires:je.expires}}catch(tt){let xt=new Uint8Array(je.data),Ie=`Unable to parse the tile at ${Ge.request.url}, `;throw Ie+=xt[0]===31&&xt[1]===139?\"please make sure the data is not gzipped and that you have configured the relevant header in the server\":`got error: ${tt.message}`,new Error(Ie)}})}loadTile(Ge){return i._(this,void 0,void 0,function*(){let Je=Ge.uid,je=!!(Ge&&Ge.request&&Ge.request.collectResourceTiming)&&new i.bv(Ge.request),tt=new s(Ge);this.loading[Je]=tt;let xt=new AbortController;tt.abort=xt;try{let Ie=yield this.loadVectorTile(Ge,xt);if(delete this.loading[Je],!Ie)return null;let xe=Ie.rawData,ke={};Ie.expires&&(ke.expires=Ie.expires),Ie.cacheControl&&(ke.cacheControl=Ie.cacheControl);let vt={};if(je){let ar=je.finish();ar&&(vt.resourceTiming=JSON.parse(JSON.stringify(ar)))}tt.vectorTile=Ie.vectorTile;let ir=tt.parse(Ie.vectorTile,this.layerIndex,this.availableImages,this.actor);this.loaded[Je]=tt,this.fetching[Je]={rawTileData:xe,cacheControl:ke,resourceTiming:vt};try{let ar=yield ir;return i.e({rawTileData:xe.slice(0)},ar,ke,vt)}finally{delete this.fetching[Je]}}catch(Ie){throw delete this.loading[Je],tt.status=\"done\",this.loaded[Je]=tt,Ie}})}reloadTile(Ge){return i._(this,void 0,void 0,function*(){let Je=Ge.uid;if(!this.loaded||!this.loaded[Je])throw new Error(\"Should not be trying to reload a tile that was never loaded or has been removed\");let je=this.loaded[Je];if(je.showCollisionBoxes=Ge.showCollisionBoxes,je.status===\"parsing\"){let tt=yield je.parse(je.vectorTile,this.layerIndex,this.availableImages,this.actor),xt;if(this.fetching[Je]){let{rawTileData:Ie,cacheControl:xe,resourceTiming:ke}=this.fetching[Je];delete this.fetching[Je],xt=i.e({rawTileData:Ie.slice(0)},tt,xe,ke)}else xt=tt;return xt}if(je.status===\"done\"&&je.vectorTile)return je.parse(je.vectorTile,this.layerIndex,this.availableImages,this.actor)})}abortTile(Ge){return i._(this,void 0,void 0,function*(){let Je=this.loading,je=Ge.uid;Je&&Je[je]&&Je[je].abort&&(Je[je].abort.abort(),delete Je[je])})}removeTile(Ge){return i._(this,void 0,void 0,function*(){this.loaded&&this.loaded[Ge.uid]&&delete this.loaded[Ge.uid]})}}class c{constructor(){this.loaded={}}loadTile(Ge){return i._(this,void 0,void 0,function*(){let{uid:Je,encoding:je,rawImageData:tt,redFactor:xt,greenFactor:Ie,blueFactor:xe,baseShift:ke}=Ge,vt=tt.width+2,ir=tt.height+2,ar=i.b(tt)?new i.R({width:vt,height:ir},yield i.bw(tt,-1,-1,vt,ir)):tt,vr=new i.bx(Je,ar,je,xt,Ie,xe,ke);return this.loaded=this.loaded||{},this.loaded[Je]=vr,vr})}removeTile(Ge){let Je=this.loaded,je=Ge.uid;Je&&Je[je]&&delete Je[je]}}function f(dt,Ge){if(dt.length!==0){h(dt[0],Ge);for(var Je=1;Je<dt.length;Je++)h(dt[Je],!Ge)}}function h(dt,Ge){for(var Je=0,je=0,tt=0,xt=dt.length,Ie=xt-1;tt<xt;Ie=tt++){var xe=(dt[tt][0]-dt[Ie][0])*(dt[Ie][1]+dt[tt][1]),ke=Je+xe;je+=Math.abs(Je)>=Math.abs(xe)?Je-ke+xe:xe-ke+Je,Je=ke}Je+je>=0!=!!Ge&&dt.reverse()}var d=i.by(function dt(Ge,Je){var je,tt=Ge&&Ge.type;if(tt===\"FeatureCollection\")for(je=0;je<Ge.features.length;je++)dt(Ge.features[je],Je);else if(tt===\"GeometryCollection\")for(je=0;je<Ge.geometries.length;je++)dt(Ge.geometries[je],Je);else if(tt===\"Feature\")dt(Ge.geometry,Je);else if(tt===\"Polygon\")f(Ge.coordinates,Je);else if(tt===\"MultiPolygon\")for(je=0;je<Ge.coordinates.length;je++)f(Ge.coordinates[je],Je);return Ge});let v=i.bt.VectorTileFeature.prototype.toGeoJSON;var _={exports:{}},b=i.bz,p=i.bt.VectorTileFeature,k=E;function E(dt,Ge){this.options=Ge||{},this.features=dt,this.length=dt.length}function S(dt,Ge){this.id=typeof dt.id==\"number\"?dt.id:void 0,this.type=dt.type,this.rawGeometry=dt.type===1?[dt.geometry]:dt.geometry,this.properties=dt.tags,this.extent=Ge||4096}E.prototype.feature=function(dt){return new S(this.features[dt],this.options.extent)},S.prototype.loadGeometry=function(){var dt=this.rawGeometry;this.geometry=[];for(var Ge=0;Ge<dt.length;Ge++){for(var Je=dt[Ge],je=[],tt=0;tt<Je.length;tt++)je.push(new b(Je[tt][0],Je[tt][1]));this.geometry.push(je)}return this.geometry},S.prototype.bbox=function(){this.geometry||this.loadGeometry();for(var dt=this.geometry,Ge=1/0,Je=-1/0,je=1/0,tt=-1/0,xt=0;xt<dt.length;xt++)for(var Ie=dt[xt],xe=0;xe<Ie.length;xe++){var ke=Ie[xe];Ge=Math.min(Ge,ke.x),Je=Math.max(Je,ke.x),je=Math.min(je,ke.y),tt=Math.max(tt,ke.y)}return[Ge,je,Je,tt]},S.prototype.toGeoJSON=p.prototype.toGeoJSON;var L=i.bA,x=k;function C(dt){var Ge=new L;return function(Je,je){for(var tt in Je.layers)je.writeMessage(3,M,Je.layers[tt])}(dt,Ge),Ge.finish()}function M(dt,Ge){var Je;Ge.writeVarintField(15,dt.version||1),Ge.writeStringField(1,dt.name||\"\"),Ge.writeVarintField(5,dt.extent||4096);var je={keys:[],values:[],keycache:{},valuecache:{}};for(Je=0;Je<dt.length;Je++)je.feature=dt.feature(Je),Ge.writeMessage(2,g,je);var tt=je.keys;for(Je=0;Je<tt.length;Je++)Ge.writeStringField(3,tt[Je]);var xt=je.values;for(Je=0;Je<xt.length;Je++)Ge.writeMessage(4,V,xt[Je])}function g(dt,Ge){var Je=dt.feature;Je.id!==void 0&&Ge.writeVarintField(1,Je.id),Ge.writeMessage(2,P,dt),Ge.writeVarintField(3,Je.type),Ge.writeMessage(4,O,Je)}function P(dt,Ge){var Je=dt.feature,je=dt.keys,tt=dt.values,xt=dt.keycache,Ie=dt.valuecache;for(var xe in Je.properties){var ke=Je.properties[xe],vt=xt[xe];if(ke!==null){vt===void 0&&(je.push(xe),xt[xe]=vt=je.length-1),Ge.writeVarint(vt);var ir=typeof ke;ir!==\"string\"&&ir!==\"boolean\"&&ir!==\"number\"&&(ke=JSON.stringify(ke));var ar=ir+\":\"+ke,vr=Ie[ar];vr===void 0&&(tt.push(ke),Ie[ar]=vr=tt.length-1),Ge.writeVarint(vr)}}}function T(dt,Ge){return(Ge<<3)+(7&dt)}function z(dt){return dt<<1^dt>>31}function O(dt,Ge){for(var Je=dt.loadGeometry(),je=dt.type,tt=0,xt=0,Ie=Je.length,xe=0;xe<Ie;xe++){var ke=Je[xe],vt=1;je===1&&(vt=ke.length),Ge.writeVarint(T(1,vt));for(var ir=je===3?ke.length-1:ke.length,ar=0;ar<ir;ar++){ar===1&&je!==1&&Ge.writeVarint(T(2,ir-1));var vr=ke[ar].x-tt,ii=ke[ar].y-xt;Ge.writeVarint(z(vr)),Ge.writeVarint(z(ii)),tt+=vr,xt+=ii}je===3&&Ge.writeVarint(T(7,1))}}function V(dt,Ge){var Je=typeof dt;Je===\"string\"?Ge.writeStringField(1,dt):Je===\"boolean\"?Ge.writeBooleanField(7,dt):Je===\"number\"&&(dt%1!=0?Ge.writeDoubleField(3,dt):dt<0?Ge.writeSVarintField(6,dt):Ge.writeVarintField(5,dt))}_.exports=C,_.exports.fromVectorTileJs=C,_.exports.fromGeojsonVt=function(dt,Ge){Ge=Ge||{};var Je={};for(var je in dt)Je[je]=new x(dt[je].features,Ge),Je[je].name=je,Je[je].version=Ge.version,Je[je].extent=Ge.extent;return C({layers:Je})},_.exports.GeoJSONWrapper=x;var G=i.by(_.exports);let Z={minZoom:0,maxZoom:16,minPoints:2,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:dt=>dt},j=Math.fround||(N=new Float32Array(1),dt=>(N[0]=+dt,N[0]));var N;let H=3,te=5,oe=6;class _e{constructor(Ge){this.options=Object.assign(Object.create(Z),Ge),this.trees=new Array(this.options.maxZoom+1),this.stride=this.options.reduce?7:6,this.clusterProps=[]}load(Ge){let{log:Je,minZoom:je,maxZoom:tt}=this.options;Je&&console.time(\"total time\");let xt=`prepare ${Ge.length} points`;Je&&console.time(xt),this.points=Ge;let Ie=[];for(let ke=0;ke<Ge.length;ke++){let vt=Ge[ke];if(!vt.geometry)continue;let[ir,ar]=vt.geometry.coordinates,vr=j(me(ir)),ii=j(ie(ar));Ie.push(vr,ii,1/0,ke,-1,1),this.options.reduce&&Ie.push(0)}let xe=this.trees[tt+1]=this._createTree(Ie);Je&&console.timeEnd(xt);for(let ke=tt;ke>=je;ke--){let vt=+Date.now();xe=this.trees[ke]=this._createTree(this._cluster(xe,ke)),Je&&console.log(\"z%d: %d clusters in %dms\",ke,xe.numItems,+Date.now()-vt)}return Je&&console.timeEnd(\"total time\"),this}getClusters(Ge,Je){let je=((Ge[0]+180)%360+360)%360-180,tt=Math.max(-90,Math.min(90,Ge[1])),xt=Ge[2]===180?180:((Ge[2]+180)%360+360)%360-180,Ie=Math.max(-90,Math.min(90,Ge[3]));if(Ge[2]-Ge[0]>=360)je=-180,xt=180;else if(je>xt){let ar=this.getClusters([je,tt,180,Ie],Je),vr=this.getClusters([-180,tt,xt,Ie],Je);return ar.concat(vr)}let xe=this.trees[this._limitZoom(Je)],ke=xe.range(me(je),ie(Ie),me(xt),ie(tt)),vt=xe.data,ir=[];for(let ar of ke){let vr=this.stride*ar;ir.push(vt[vr+te]>1?Ee(vt,vr,this.clusterProps):this.points[vt[vr+H]])}return ir}getChildren(Ge){let Je=this._getOriginId(Ge),je=this._getOriginZoom(Ge),tt=\"No cluster with the specified id.\",xt=this.trees[je];if(!xt)throw new Error(tt);let Ie=xt.data;if(Je*this.stride>=Ie.length)throw new Error(tt);let xe=this.options.radius/(this.options.extent*Math.pow(2,je-1)),ke=xt.within(Ie[Je*this.stride],Ie[Je*this.stride+1],xe),vt=[];for(let ir of ke){let ar=ir*this.stride;Ie[ar+4]===Ge&&vt.push(Ie[ar+te]>1?Ee(Ie,ar,this.clusterProps):this.points[Ie[ar+H]])}if(vt.length===0)throw new Error(tt);return vt}getLeaves(Ge,Je,je){let tt=[];return this._appendLeaves(tt,Ge,Je=Je||10,je=je||0,0),tt}getTile(Ge,Je,je){let tt=this.trees[this._limitZoom(Ge)],xt=Math.pow(2,Ge),{extent:Ie,radius:xe}=this.options,ke=xe/Ie,vt=(je-ke)/xt,ir=(je+1+ke)/xt,ar={features:[]};return this._addTileFeatures(tt.range((Je-ke)/xt,vt,(Je+1+ke)/xt,ir),tt.data,Je,je,xt,ar),Je===0&&this._addTileFeatures(tt.range(1-ke/xt,vt,1,ir),tt.data,xt,je,xt,ar),Je===xt-1&&this._addTileFeatures(tt.range(0,vt,ke/xt,ir),tt.data,-1,je,xt,ar),ar.features.length?ar:null}getClusterExpansionZoom(Ge){let Je=this._getOriginZoom(Ge)-1;for(;Je<=this.options.maxZoom;){let je=this.getChildren(Ge);if(Je++,je.length!==1)break;Ge=je[0].properties.cluster_id}return Je}_appendLeaves(Ge,Je,je,tt,xt){let Ie=this.getChildren(Je);for(let xe of Ie){let ke=xe.properties;if(ke&&ke.cluster?xt+ke.point_count<=tt?xt+=ke.point_count:xt=this._appendLeaves(Ge,ke.cluster_id,je,tt,xt):xt<tt?xt++:Ge.push(xe),Ge.length===je)break}return xt}_createTree(Ge){let Je=new i.av(Ge.length/this.stride|0,this.options.nodeSize,Float32Array);for(let je=0;je<Ge.length;je+=this.stride)Je.add(Ge[je],Ge[je+1]);return Je.finish(),Je.data=Ge,Je}_addTileFeatures(Ge,Je,je,tt,xt,Ie){for(let xe of Ge){let ke=xe*this.stride,vt=Je[ke+te]>1,ir,ar,vr;if(vt)ir=Ce(Je,ke,this.clusterProps),ar=Je[ke],vr=Je[ke+1];else{let $r=this.points[Je[ke+H]];ir=$r.properties;let[di,ji]=$r.geometry.coordinates;ar=me(di),vr=ie(ji)}let ii={type:1,geometry:[[Math.round(this.options.extent*(ar*xt-je)),Math.round(this.options.extent*(vr*xt-tt))]],tags:ir},pi;pi=vt||this.options.generateId?Je[ke+H]:this.points[Je[ke+H]].id,pi!==void 0&&(ii.id=pi),Ie.features.push(ii)}}_limitZoom(Ge){return Math.max(this.options.minZoom,Math.min(Math.floor(+Ge),this.options.maxZoom+1))}_cluster(Ge,Je){let{radius:je,extent:tt,reduce:xt,minPoints:Ie}=this.options,xe=je/(tt*Math.pow(2,Je)),ke=Ge.data,vt=[],ir=this.stride;for(let ar=0;ar<ke.length;ar+=ir){if(ke[ar+2]<=Je)continue;ke[ar+2]=Je;let vr=ke[ar],ii=ke[ar+1],pi=Ge.within(ke[ar],ke[ar+1],xe),$r=ke[ar+te],di=$r;for(let ji of pi){let In=ji*ir;ke[In+2]>Je&&(di+=ke[In+te])}if(di>$r&&di>=Ie){let ji,In=vr*$r,wi=ii*$r,On=-1,qn=((ar/ir|0)<<5)+(Je+1)+this.points.length;for(let Fn of pi){let ra=Fn*ir;if(ke[ra+2]<=Je)continue;ke[ra+2]=Je;let la=ke[ra+te];In+=ke[ra]*la,wi+=ke[ra+1]*la,ke[ra+4]=qn,xt&&(ji||(ji=this._map(ke,ar,!0),On=this.clusterProps.length,this.clusterProps.push(ji)),xt(ji,this._map(ke,ra)))}ke[ar+4]=qn,vt.push(In/di,wi/di,1/0,qn,-1,di),xt&&vt.push(On)}else{for(let ji=0;ji<ir;ji++)vt.push(ke[ar+ji]);if(di>1)for(let ji of pi){let In=ji*ir;if(!(ke[In+2]<=Je)){ke[In+2]=Je;for(let wi=0;wi<ir;wi++)vt.push(ke[In+wi])}}}}return vt}_getOriginId(Ge){return Ge-this.points.length>>5}_getOriginZoom(Ge){return(Ge-this.points.length)%32}_map(Ge,Je,je){if(Ge[Je+te]>1){let Ie=this.clusterProps[Ge[Je+oe]];return je?Object.assign({},Ie):Ie}let tt=this.points[Ge[Je+H]].properties,xt=this.options.map(tt);return je&&xt===tt?Object.assign({},xt):xt}}function Ee(dt,Ge,Je){return{type:\"Feature\",id:dt[Ge+H],properties:Ce(dt,Ge,Je),geometry:{type:\"Point\",coordinates:[(je=dt[Ge],360*(je-.5)),Se(dt[Ge+1])]}};var je}function Ce(dt,Ge,Je){let je=dt[Ge+te],tt=je>=1e4?`${Math.round(je/1e3)}k`:je>=1e3?Math.round(je/100)/10+\"k\":je,xt=dt[Ge+oe],Ie=xt===-1?{}:Object.assign({},Je[xt]);return Object.assign(Ie,{cluster:!0,cluster_id:dt[Ge+H],point_count:je,point_count_abbreviated:tt})}function me(dt){return dt/360+.5}function ie(dt){let Ge=Math.sin(dt*Math.PI/180),Je=.5-.25*Math.log((1+Ge)/(1-Ge))/Math.PI;return Je<0?0:Je>1?1:Je}function Se(dt){let Ge=(180-360*dt)*Math.PI/180;return 360*Math.atan(Math.exp(Ge))/Math.PI-90}function Le(dt,Ge,Je,je){let tt=je,xt=Ge+(Je-Ge>>1),Ie,xe=Je-Ge,ke=dt[Ge],vt=dt[Ge+1],ir=dt[Je],ar=dt[Je+1];for(let vr=Ge+3;vr<Je;vr+=3){let ii=Ae(dt[vr],dt[vr+1],ke,vt,ir,ar);if(ii>tt)Ie=vr,tt=ii;else if(ii===tt){let pi=Math.abs(vr-xt);pi<xe&&(Ie=vr,xe=pi)}}tt>je&&(Ie-Ge>3&&Le(dt,Ge,Ie,je),dt[Ie+2]=tt,Je-Ie>3&&Le(dt,Ie,Je,je))}function Ae(dt,Ge,Je,je,tt,xt){let Ie=tt-Je,xe=xt-je;if(Ie!==0||xe!==0){let ke=((dt-Je)*Ie+(Ge-je)*xe)/(Ie*Ie+xe*xe);ke>1?(Je=tt,je=xt):ke>0&&(Je+=Ie*ke,je+=xe*ke)}return Ie=dt-Je,xe=Ge-je,Ie*Ie+xe*xe}function Fe(dt,Ge,Je,je){let tt={id:dt==null?null:dt,type:Ge,geometry:Je,tags:je,minX:1/0,minY:1/0,maxX:-1/0,maxY:-1/0};if(Ge===\"Point\"||Ge===\"MultiPoint\"||Ge===\"LineString\")Pe(tt,Je);else if(Ge===\"Polygon\")Pe(tt,Je[0]);else if(Ge===\"MultiLineString\")for(let xt of Je)Pe(tt,xt);else if(Ge===\"MultiPolygon\")for(let xt of Je)Pe(tt,xt[0]);return tt}function Pe(dt,Ge){for(let Je=0;Je<Ge.length;Je+=3)dt.minX=Math.min(dt.minX,Ge[Je]),dt.minY=Math.min(dt.minY,Ge[Je+1]),dt.maxX=Math.max(dt.maxX,Ge[Je]),dt.maxY=Math.max(dt.maxY,Ge[Je+1])}function ge(dt,Ge,Je,je){if(!Ge.geometry)return;let tt=Ge.geometry.coordinates;if(tt&&tt.length===0)return;let xt=Ge.geometry.type,Ie=Math.pow(Je.tolerance/((1<<Je.maxZoom)*Je.extent),2),xe=[],ke=Ge.id;if(Je.promoteId?ke=Ge.properties[Je.promoteId]:Je.generateId&&(ke=je||0),xt===\"Point\")Re(tt,xe);else if(xt===\"MultiPoint\")for(let vt of tt)Re(vt,xe);else if(xt===\"LineString\")ce(tt,xe,Ie,!1);else if(xt===\"MultiLineString\"){if(Je.lineMetrics){for(let vt of tt)xe=[],ce(vt,xe,Ie,!1),dt.push(Fe(ke,\"LineString\",xe,Ge.properties));return}Ze(tt,xe,Ie,!1)}else if(xt===\"Polygon\")Ze(tt,xe,Ie,!0);else{if(xt!==\"MultiPolygon\"){if(xt===\"GeometryCollection\"){for(let vt of Ge.geometry.geometries)ge(dt,{id:ke,geometry:vt,properties:Ge.properties},Je,je);return}throw new Error(\"Input data is not a valid GeoJSON object.\")}for(let vt of tt){let ir=[];Ze(vt,ir,Ie,!0),xe.push(ir)}}dt.push(Fe(ke,xt,xe,Ge.properties))}function Re(dt,Ge){Ge.push(ut(dt[0]),pt(dt[1]),0)}function ce(dt,Ge,Je,je){let tt,xt,Ie=0;for(let ke=0;ke<dt.length;ke++){let vt=ut(dt[ke][0]),ir=pt(dt[ke][1]);Ge.push(vt,ir,0),ke>0&&(Ie+=je?(tt*ir-vt*xt)/2:Math.sqrt(Math.pow(vt-tt,2)+Math.pow(ir-xt,2))),tt=vt,xt=ir}let xe=Ge.length-3;Ge[2]=1,Le(Ge,0,xe,Je),Ge[xe+2]=1,Ge.size=Math.abs(Ie),Ge.start=0,Ge.end=Ge.size}function Ze(dt,Ge,Je,je){for(let tt=0;tt<dt.length;tt++){let xt=[];ce(dt[tt],xt,Je,je),Ge.push(xt)}}function ut(dt){return dt/360+.5}function pt(dt){let Ge=Math.sin(dt*Math.PI/180),Je=.5-.25*Math.log((1+Ge)/(1-Ge))/Math.PI;return Je<0?0:Je>1?1:Je}function Zt(dt,Ge,Je,je,tt,xt,Ie,xe){if(je/=Ge,xt>=(Je/=Ge)&&Ie<je)return dt;if(Ie<Je||xt>=je)return null;let ke=[];for(let vt of dt){let ir=vt.geometry,ar=vt.type,vr=tt===0?vt.minX:vt.minY,ii=tt===0?vt.maxX:vt.maxY;if(vr>=Je&&ii<je){ke.push(vt);continue}if(ii<Je||vr>=je)continue;let pi=[];if(ar===\"Point\"||ar===\"MultiPoint\")st(ir,pi,Je,je,tt);else if(ar===\"LineString\")lt(ir,pi,Je,je,tt,!1,xe.lineMetrics);else if(ar===\"MultiLineString\")Nt(ir,pi,Je,je,tt,!1);else if(ar===\"Polygon\")Nt(ir,pi,Je,je,tt,!0);else if(ar===\"MultiPolygon\")for(let $r of ir){let di=[];Nt($r,di,Je,je,tt,!0),di.length&&pi.push(di)}if(pi.length){if(xe.lineMetrics&&ar===\"LineString\"){for(let $r of pi)ke.push(Fe(vt.id,ar,$r,vt.tags));continue}ar!==\"LineString\"&&ar!==\"MultiLineString\"||(pi.length===1?(ar=\"LineString\",pi=pi[0]):ar=\"MultiLineString\"),ar!==\"Point\"&&ar!==\"MultiPoint\"||(ar=pi.length===3?\"Point\":\"MultiPoint\"),ke.push(Fe(vt.id,ar,pi,vt.tags))}}return ke.length?ke:null}function st(dt,Ge,Je,je,tt){for(let xt=0;xt<dt.length;xt+=3){let Ie=dt[xt+tt];Ie>=Je&&Ie<=je&&Jt(Ge,dt[xt],dt[xt+1],dt[xt+2])}}function lt(dt,Ge,Je,je,tt,xt,Ie){let xe=Gt(dt),ke=tt===0?sr:wr,vt,ir,ar=dt.start;for(let di=0;di<dt.length-3;di+=3){let ji=dt[di],In=dt[di+1],wi=dt[di+2],On=dt[di+3],qn=dt[di+4],Fn=tt===0?ji:In,ra=tt===0?On:qn,la=!1;Ie&&(vt=Math.sqrt(Math.pow(ji-On,2)+Math.pow(In-qn,2))),Fn<Je?ra>Je&&(ir=ke(xe,ji,In,On,qn,Je),Ie&&(xe.start=ar+vt*ir)):Fn>je?ra<je&&(ir=ke(xe,ji,In,On,qn,je),Ie&&(xe.start=ar+vt*ir)):Jt(xe,ji,In,wi),ra<Je&&Fn>=Je&&(ir=ke(xe,ji,In,On,qn,Je),la=!0),ra>je&&Fn<=je&&(ir=ke(xe,ji,In,On,qn,je),la=!0),!xt&&la&&(Ie&&(xe.end=ar+vt*ir),Ge.push(xe),xe=Gt(dt)),Ie&&(ar+=vt)}let vr=dt.length-3,ii=dt[vr],pi=dt[vr+1],$r=tt===0?ii:pi;$r>=Je&&$r<=je&&Jt(xe,ii,pi,dt[vr+2]),vr=xe.length-3,xt&&vr>=3&&(xe[vr]!==xe[0]||xe[vr+1]!==xe[1])&&Jt(xe,xe[0],xe[1],xe[2]),xe.length&&Ge.push(xe)}function Gt(dt){let Ge=[];return Ge.size=dt.size,Ge.start=dt.start,Ge.end=dt.end,Ge}function Nt(dt,Ge,Je,je,tt,xt){for(let Ie of dt)lt(Ie,Ge,Je,je,tt,xt,!1)}function Jt(dt,Ge,Je,je){dt.push(Ge,Je,je)}function sr(dt,Ge,Je,je,tt,xt){let Ie=(xt-Ge)/(je-Ge);return Jt(dt,xt,Je+(tt-Je)*Ie,1),Ie}function wr(dt,Ge,Je,je,tt,xt){let Ie=(xt-Je)/(tt-Je);return Jt(dt,Ge+(je-Ge)*Ie,xt,1),Ie}function cr(dt,Ge){let Je=[];for(let je=0;je<dt.length;je++){let tt=dt[je],xt=tt.type,Ie;if(xt===\"Point\"||xt===\"MultiPoint\"||xt===\"LineString\")Ie=$e(tt.geometry,Ge);else if(xt===\"MultiLineString\"||xt===\"Polygon\"){Ie=[];for(let xe of tt.geometry)Ie.push($e(xe,Ge))}else if(xt===\"MultiPolygon\"){Ie=[];for(let xe of tt.geometry){let ke=[];for(let vt of xe)ke.push($e(vt,Ge));Ie.push(ke)}}Je.push(Fe(tt.id,xt,Ie,tt.tags))}return Je}function $e(dt,Ge){let Je=[];Je.size=dt.size,dt.start!==void 0&&(Je.start=dt.start,Je.end=dt.end);for(let je=0;je<dt.length;je+=3)Je.push(dt[je]+Ge,dt[je+1],dt[je+2]);return Je}function St(dt,Ge){if(dt.transformed)return dt;let Je=1<<dt.z,je=dt.x,tt=dt.y;for(let xt of dt.features){let Ie=xt.geometry,xe=xt.type;if(xt.geometry=[],xe===1)for(let ke=0;ke<Ie.length;ke+=2)xt.geometry.push(Qt(Ie[ke],Ie[ke+1],Ge,Je,je,tt));else for(let ke=0;ke<Ie.length;ke++){let vt=[];for(let ir=0;ir<Ie[ke].length;ir+=2)vt.push(Qt(Ie[ke][ir],Ie[ke][ir+1],Ge,Je,je,tt));xt.geometry.push(vt)}}return dt.transformed=!0,dt}function Qt(dt,Ge,Je,je,tt,xt){return[Math.round(Je*(dt*je-tt)),Math.round(Je*(Ge*je-xt))]}function Vt(dt,Ge,Je,je,tt){let xt=Ge===tt.maxZoom?0:tt.tolerance/((1<<Ge)*tt.extent),Ie={features:[],numPoints:0,numSimplified:0,numFeatures:dt.length,source:null,x:Je,y:je,z:Ge,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0};for(let xe of dt)_t(Ie,xe,xt,tt);return Ie}function _t(dt,Ge,Je,je){let tt=Ge.geometry,xt=Ge.type,Ie=[];if(dt.minX=Math.min(dt.minX,Ge.minX),dt.minY=Math.min(dt.minY,Ge.minY),dt.maxX=Math.max(dt.maxX,Ge.maxX),dt.maxY=Math.max(dt.maxY,Ge.maxY),xt===\"Point\"||xt===\"MultiPoint\")for(let xe=0;xe<tt.length;xe+=3)Ie.push(tt[xe],tt[xe+1]),dt.numPoints++,dt.numSimplified++;else if(xt===\"LineString\")It(Ie,tt,dt,Je,!1,!1);else if(xt===\"MultiLineString\"||xt===\"Polygon\")for(let xe=0;xe<tt.length;xe++)It(Ie,tt[xe],dt,Je,xt===\"Polygon\",xe===0);else if(xt===\"MultiPolygon\")for(let xe=0;xe<tt.length;xe++){let ke=tt[xe];for(let vt=0;vt<ke.length;vt++)It(Ie,ke[vt],dt,Je,!0,vt===0)}if(Ie.length){let xe=Ge.tags||null;if(xt===\"LineString\"&&je.lineMetrics){xe={};for(let vt in Ge.tags)xe[vt]=Ge.tags[vt];xe.mapbox_clip_start=tt.start/tt.size,xe.mapbox_clip_end=tt.end/tt.size}let ke={geometry:Ie,type:xt===\"Polygon\"||xt===\"MultiPolygon\"?3:xt===\"LineString\"||xt===\"MultiLineString\"?2:1,tags:xe};Ge.id!==null&&(ke.id=Ge.id),dt.features.push(ke)}}function It(dt,Ge,Je,je,tt,xt){let Ie=je*je;if(je>0&&Ge.size<(tt?Ie:je))return void(Je.numPoints+=Ge.length/3);let xe=[];for(let ke=0;ke<Ge.length;ke+=3)(je===0||Ge[ke+2]>Ie)&&(Je.numSimplified++,xe.push(Ge[ke],Ge[ke+1])),Je.numPoints++;tt&&function(ke,vt){let ir=0;for(let ar=0,vr=ke.length,ii=vr-2;ar<vr;ii=ar,ar+=2)ir+=(ke[ar]-ke[ii])*(ke[ar+1]+ke[ii+1]);if(ir>0===vt)for(let ar=0,vr=ke.length;ar<vr/2;ar+=2){let ii=ke[ar],pi=ke[ar+1];ke[ar]=ke[vr-2-ar],ke[ar+1]=ke[vr-1-ar],ke[vr-2-ar]=ii,ke[vr-1-ar]=pi}}(xe,xt),dt.push(xe)}let mt={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0};class er{constructor(Ge,Je){let je=(Je=this.options=function(xt,Ie){for(let xe in Ie)xt[xe]=Ie[xe];return xt}(Object.create(mt),Je)).debug;if(je&&console.time(\"preprocess data\"),Je.maxZoom<0||Je.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(Je.promoteId&&Je.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");let tt=function(xt,Ie){let xe=[];if(xt.type===\"FeatureCollection\")for(let ke=0;ke<xt.features.length;ke++)ge(xe,xt.features[ke],Ie,ke);else ge(xe,xt.type===\"Feature\"?xt:{geometry:xt},Ie);return xe}(Ge,Je);this.tiles={},this.tileCoords=[],je&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",Je.indexMaxZoom,Je.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),tt=function(xt,Ie){let xe=Ie.buffer/Ie.extent,ke=xt,vt=Zt(xt,1,-1-xe,xe,0,-1,2,Ie),ir=Zt(xt,1,1-xe,2+xe,0,-1,2,Ie);return(vt||ir)&&(ke=Zt(xt,1,-xe,1+xe,0,-1,2,Ie)||[],vt&&(ke=cr(vt,1).concat(ke)),ir&&(ke=ke.concat(cr(ir,-1)))),ke}(tt,Je),tt.length&&this.splitTile(tt,0,0,0),je&&(tt.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)))}splitTile(Ge,Je,je,tt,xt,Ie,xe){let ke=[Ge,Je,je,tt],vt=this.options,ir=vt.debug;for(;ke.length;){tt=ke.pop(),je=ke.pop(),Je=ke.pop(),Ge=ke.pop();let ar=1<<Je,vr=lr(Je,je,tt),ii=this.tiles[vr];if(!ii&&(ir>1&&console.time(\"creation\"),ii=this.tiles[vr]=Vt(Ge,Je,je,tt,vt),this.tileCoords.push({z:Je,x:je,y:tt}),ir)){ir>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",Je,je,tt,ii.numFeatures,ii.numPoints,ii.numSimplified),console.timeEnd(\"creation\"));let la=`z${Je}`;this.stats[la]=(this.stats[la]||0)+1,this.total++}if(ii.source=Ge,xt==null){if(Je===vt.indexMaxZoom||ii.numPoints<=vt.indexMaxPoints)continue}else{if(Je===vt.maxZoom||Je===xt)continue;if(xt!=null){let la=xt-Je;if(je!==Ie>>la||tt!==xe>>la)continue}}if(ii.source=null,Ge.length===0)continue;ir>1&&console.time(\"clipping\");let pi=.5*vt.buffer/vt.extent,$r=.5-pi,di=.5+pi,ji=1+pi,In=null,wi=null,On=null,qn=null,Fn=Zt(Ge,ar,je-pi,je+di,0,ii.minX,ii.maxX,vt),ra=Zt(Ge,ar,je+$r,je+ji,0,ii.minX,ii.maxX,vt);Ge=null,Fn&&(In=Zt(Fn,ar,tt-pi,tt+di,1,ii.minY,ii.maxY,vt),wi=Zt(Fn,ar,tt+$r,tt+ji,1,ii.minY,ii.maxY,vt),Fn=null),ra&&(On=Zt(ra,ar,tt-pi,tt+di,1,ii.minY,ii.maxY,vt),qn=Zt(ra,ar,tt+$r,tt+ji,1,ii.minY,ii.maxY,vt),ra=null),ir>1&&console.timeEnd(\"clipping\"),ke.push(In||[],Je+1,2*je,2*tt),ke.push(wi||[],Je+1,2*je,2*tt+1),ke.push(On||[],Je+1,2*je+1,2*tt),ke.push(qn||[],Je+1,2*je+1,2*tt+1)}}getTile(Ge,Je,je){Ge=+Ge,Je=+Je,je=+je;let tt=this.options,{extent:xt,debug:Ie}=tt;if(Ge<0||Ge>24)return null;let xe=1<<Ge,ke=lr(Ge,Je=Je+xe&xe-1,je);if(this.tiles[ke])return St(this.tiles[ke],xt);Ie>1&&console.log(\"drilling down to z%d-%d-%d\",Ge,Je,je);let vt,ir=Ge,ar=Je,vr=je;for(;!vt&&ir>0;)ir--,ar>>=1,vr>>=1,vt=this.tiles[lr(ir,ar,vr)];return vt&&vt.source?(Ie>1&&(console.log(\"found parent tile z%d-%d-%d\",ir,ar,vr),console.time(\"drilling down\")),this.splitTile(vt.source,ir,ar,vr,Ge,Je,je),Ie>1&&console.timeEnd(\"drilling down\"),this.tiles[ke]?St(this.tiles[ke],xt):null):null}}function lr(dt,Ge,Je){return 32*((1<<dt)*Je+Ge)+dt}function Tr(dt,Ge){return Ge?dt.properties[Ge]:dt.id}function Lr(dt,Ge){if(dt==null)return!0;if(dt.type===\"Feature\")return Tr(dt,Ge)!=null;if(dt.type===\"FeatureCollection\"){let Je=new Set;for(let je of dt.features){let tt=Tr(je,Ge);if(tt==null||Je.has(tt))return!1;Je.add(tt)}return!0}return!1}function ti(dt,Ge){let Je=new Map;if(dt!=null)if(dt.type===\"Feature\")Je.set(Tr(dt,Ge),dt);else for(let je of dt.features)Je.set(Tr(je,Ge),je);return Je}class Br extends u{constructor(){super(...arguments),this._dataUpdateable=new Map}loadVectorTile(Ge,Je){return i._(this,void 0,void 0,function*(){let je=Ge.tileID.canonical;if(!this._geoJSONIndex)throw new Error(\"Unable to parse the data into a cluster or geojson\");let tt=this._geoJSONIndex.getTile(je.z,je.x,je.y);if(!tt)return null;let xt=new class{constructor(xe){this.layers={_geojsonTileLayer:this},this.name=\"_geojsonTileLayer\",this.extent=i.X,this.length=xe.length,this._features=xe}feature(xe){return new class{constructor(ke){this._feature=ke,this.extent=i.X,this.type=ke.type,this.properties=ke.tags,\"id\"in ke&&!isNaN(ke.id)&&(this.id=parseInt(ke.id,10))}loadGeometry(){if(this._feature.type===1){let ke=[];for(let vt of this._feature.geometry)ke.push([new i.P(vt[0],vt[1])]);return ke}{let ke=[];for(let vt of this._feature.geometry){let ir=[];for(let ar of vt)ir.push(new i.P(ar[0],ar[1]));ke.push(ir)}return ke}}toGeoJSON(ke,vt,ir){return v.call(this,ke,vt,ir)}}(this._features[xe])}}(tt.features),Ie=G(xt);return Ie.byteOffset===0&&Ie.byteLength===Ie.buffer.byteLength||(Ie=new Uint8Array(Ie)),{vectorTile:xt,rawData:Ie.buffer}})}loadData(Ge){return i._(this,void 0,void 0,function*(){var Je;(Je=this._pendingRequest)===null||Je===void 0||Je.abort();let je=!!(Ge&&Ge.request&&Ge.request.collectResourceTiming)&&new i.bv(Ge.request);this._pendingRequest=new AbortController;try{this._pendingData=this.loadAndProcessGeoJSON(Ge,this._pendingRequest),this._geoJSONIndex=Ge.cluster?new _e(function({superclusterOptions:Ie,clusterProperties:xe}){if(!xe||!Ie)return Ie;let ke={},vt={},ir={accumulated:null,zoom:0},ar={properties:null},vr=Object.keys(xe);for(let ii of vr){let[pi,$r]=xe[ii],di=i.bC($r),ji=i.bC(typeof pi==\"string\"?[pi,[\"accumulated\"],[\"get\",ii]]:pi);ke[ii]=di.value,vt[ii]=ji.value}return Ie.map=ii=>{ar.properties=ii;let pi={};for(let $r of vr)pi[$r]=ke[$r].evaluate(ir,ar);return pi},Ie.reduce=(ii,pi)=>{ar.properties=pi;for(let $r of vr)ir.accumulated=ii[$r],ii[$r]=vt[$r].evaluate(ir,ar)},Ie}(Ge)).load((yield this._pendingData).features):(tt=yield this._pendingData,new er(tt,Ge.geojsonVtOptions)),this.loaded={};let xt={};if(je){let Ie=je.finish();Ie&&(xt.resourceTiming={},xt.resourceTiming[Ge.source]=JSON.parse(JSON.stringify(Ie)))}return xt}catch(xt){if(delete this._pendingRequest,i.bB(xt))return{abandoned:!0};throw xt}var tt})}getData(){return i._(this,void 0,void 0,function*(){return this._pendingData})}reloadTile(Ge){let Je=this.loaded;return Je&&Je[Ge.uid]?super.reloadTile(Ge):this.loadTile(Ge)}loadAndProcessGeoJSON(Ge,Je){return i._(this,void 0,void 0,function*(){let je=yield this.loadGeoJSON(Ge,Je);if(delete this._pendingRequest,typeof je!=\"object\")throw new Error(`Input data given to '${Ge.source}' is not a valid GeoJSON object.`);if(d(je,!0),Ge.filter){let tt=i.bC(Ge.filter,{type:\"boolean\",\"property-type\":\"data-driven\",overridable:!1,transition:!1});if(tt.result===\"error\")throw new Error(tt.value.map(Ie=>`${Ie.key}: ${Ie.message}`).join(\", \"));je={type:\"FeatureCollection\",features:je.features.filter(Ie=>tt.value.evaluate({zoom:0},Ie))}}return je})}loadGeoJSON(Ge,Je){return i._(this,void 0,void 0,function*(){let{promoteId:je}=Ge;if(Ge.request){let tt=yield i.h(Ge.request,Je);return this._dataUpdateable=Lr(tt.data,je)?ti(tt.data,je):void 0,tt.data}if(typeof Ge.data==\"string\")try{let tt=JSON.parse(Ge.data);return this._dataUpdateable=Lr(tt,je)?ti(tt,je):void 0,tt}catch(tt){throw new Error(`Input data given to '${Ge.source}' is not a valid GeoJSON object.`)}if(!Ge.dataDiff)throw new Error(`Input data given to '${Ge.source}' is not a valid GeoJSON object.`);if(!this._dataUpdateable)throw new Error(`Cannot update existing geojson data in ${Ge.source}`);return function(tt,xt,Ie){var xe,ke,vt,ir;if(xt.removeAll&&tt.clear(),xt.remove)for(let ar of xt.remove)tt.delete(ar);if(xt.add)for(let ar of xt.add){let vr=Tr(ar,Ie);vr!=null&&tt.set(vr,ar)}if(xt.update)for(let ar of xt.update){let vr=tt.get(ar.id);if(vr==null)continue;let ii=!ar.removeAllProperties&&(((xe=ar.removeProperties)===null||xe===void 0?void 0:xe.length)>0||((ke=ar.addOrUpdateProperties)===null||ke===void 0?void 0:ke.length)>0);if((ar.newGeometry||ar.removeAllProperties||ii)&&(vr=Object.assign({},vr),tt.set(ar.id,vr),ii&&(vr.properties=Object.assign({},vr.properties))),ar.newGeometry&&(vr.geometry=ar.newGeometry),ar.removeAllProperties)vr.properties={};else if(((vt=ar.removeProperties)===null||vt===void 0?void 0:vt.length)>0)for(let pi of ar.removeProperties)Object.prototype.hasOwnProperty.call(vr.properties,pi)&&delete vr.properties[pi];if(((ir=ar.addOrUpdateProperties)===null||ir===void 0?void 0:ir.length)>0)for(let{key:pi,value:$r}of ar.addOrUpdateProperties)vr.properties[pi]=$r}}(this._dataUpdateable,Ge.dataDiff,je),{type:\"FeatureCollection\",features:Array.from(this._dataUpdateable.values())}})}removeSource(Ge){return i._(this,void 0,void 0,function*(){this._pendingRequest&&this._pendingRequest.abort()})}getClusterExpansionZoom(Ge){return this._geoJSONIndex.getClusterExpansionZoom(Ge.clusterId)}getClusterChildren(Ge){return this._geoJSONIndex.getChildren(Ge.clusterId)}getClusterLeaves(Ge){return this._geoJSONIndex.getLeaves(Ge.clusterId,Ge.limit,Ge.offset)}}class Vr{constructor(Ge){this.self=Ge,this.actor=new i.F(Ge),this.layerIndexes={},this.availableImages={},this.workerSources={},this.demWorkerSources={},this.externalWorkerSourceTypes={},this.self.registerWorkerSource=(Je,je)=>{if(this.externalWorkerSourceTypes[Je])throw new Error(`Worker source with name \"${Je}\" already registered.`);this.externalWorkerSourceTypes[Je]=je},this.self.addProtocol=i.bi,this.self.removeProtocol=i.bj,this.self.registerRTLTextPlugin=Je=>{if(i.bD.isParsed())throw new Error(\"RTL text plugin already registered.\");i.bD.setMethods(Je)},this.actor.registerMessageHandler(\"LDT\",(Je,je)=>this._getDEMWorkerSource(Je,je.source).loadTile(je)),this.actor.registerMessageHandler(\"RDT\",(Je,je)=>i._(this,void 0,void 0,function*(){this._getDEMWorkerSource(Je,je.source).removeTile(je)})),this.actor.registerMessageHandler(\"GCEZ\",(Je,je)=>i._(this,void 0,void 0,function*(){return this._getWorkerSource(Je,je.type,je.source).getClusterExpansionZoom(je)})),this.actor.registerMessageHandler(\"GCC\",(Je,je)=>i._(this,void 0,void 0,function*(){return this._getWorkerSource(Je,je.type,je.source).getClusterChildren(je)})),this.actor.registerMessageHandler(\"GCL\",(Je,je)=>i._(this,void 0,void 0,function*(){return this._getWorkerSource(Je,je.type,je.source).getClusterLeaves(je)})),this.actor.registerMessageHandler(\"LD\",(Je,je)=>this._getWorkerSource(Je,je.type,je.source).loadData(je)),this.actor.registerMessageHandler(\"GD\",(Je,je)=>this._getWorkerSource(Je,je.type,je.source).getData()),this.actor.registerMessageHandler(\"LT\",(Je,je)=>this._getWorkerSource(Je,je.type,je.source).loadTile(je)),this.actor.registerMessageHandler(\"RT\",(Je,je)=>this._getWorkerSource(Je,je.type,je.source).reloadTile(je)),this.actor.registerMessageHandler(\"AT\",(Je,je)=>this._getWorkerSource(Je,je.type,je.source).abortTile(je)),this.actor.registerMessageHandler(\"RMT\",(Je,je)=>this._getWorkerSource(Je,je.type,je.source).removeTile(je)),this.actor.registerMessageHandler(\"RS\",(Je,je)=>i._(this,void 0,void 0,function*(){if(!this.workerSources[Je]||!this.workerSources[Je][je.type]||!this.workerSources[Je][je.type][je.source])return;let tt=this.workerSources[Je][je.type][je.source];delete this.workerSources[Je][je.type][je.source],tt.removeSource!==void 0&&tt.removeSource(je)})),this.actor.registerMessageHandler(\"RM\",Je=>i._(this,void 0,void 0,function*(){delete this.layerIndexes[Je],delete this.availableImages[Je],delete this.workerSources[Je],delete this.demWorkerSources[Je]})),this.actor.registerMessageHandler(\"SR\",(Je,je)=>i._(this,void 0,void 0,function*(){this.referrer=je})),this.actor.registerMessageHandler(\"SRPS\",(Je,je)=>this._syncRTLPluginState(Je,je)),this.actor.registerMessageHandler(\"IS\",(Je,je)=>i._(this,void 0,void 0,function*(){this.self.importScripts(je)})),this.actor.registerMessageHandler(\"SI\",(Je,je)=>this._setImages(Je,je)),this.actor.registerMessageHandler(\"UL\",(Je,je)=>i._(this,void 0,void 0,function*(){this._getLayerIndex(Je).update(je.layers,je.removedIds)})),this.actor.registerMessageHandler(\"SL\",(Je,je)=>i._(this,void 0,void 0,function*(){this._getLayerIndex(Je).replace(je)}))}_setImages(Ge,Je){return i._(this,void 0,void 0,function*(){this.availableImages[Ge]=Je;for(let je in this.workerSources[Ge]){let tt=this.workerSources[Ge][je];for(let xt in tt)tt[xt].availableImages=Je}})}_syncRTLPluginState(Ge,Je){return i._(this,void 0,void 0,function*(){if(i.bD.isParsed())return i.bD.getState();if(Je.pluginStatus!==\"loading\")return i.bD.setState(Je),Je;let je=Je.pluginURL;if(this.self.importScripts(je),i.bD.isParsed()){let tt={pluginStatus:\"loaded\",pluginURL:je};return i.bD.setState(tt),tt}throw i.bD.setState({pluginStatus:\"error\",pluginURL:\"\"}),new Error(`RTL Text Plugin failed to import scripts from ${je}`)})}_getAvailableImages(Ge){let Je=this.availableImages[Ge];return Je||(Je=[]),Je}_getLayerIndex(Ge){let Je=this.layerIndexes[Ge];return Je||(Je=this.layerIndexes[Ge]=new a),Je}_getWorkerSource(Ge,Je,je){if(this.workerSources[Ge]||(this.workerSources[Ge]={}),this.workerSources[Ge][Je]||(this.workerSources[Ge][Je]={}),!this.workerSources[Ge][Je][je]){let tt={sendAsync:(xt,Ie)=>(xt.targetMapId=Ge,this.actor.sendAsync(xt,Ie))};switch(Je){case\"vector\":this.workerSources[Ge][Je][je]=new u(tt,this._getLayerIndex(Ge),this._getAvailableImages(Ge));break;case\"geojson\":this.workerSources[Ge][Je][je]=new Br(tt,this._getLayerIndex(Ge),this._getAvailableImages(Ge));break;default:this.workerSources[Ge][Je][je]=new this.externalWorkerSourceTypes[Je](tt,this._getLayerIndex(Ge),this._getAvailableImages(Ge))}}return this.workerSources[Ge][Je][je]}_getDEMWorkerSource(Ge,Je){return this.demWorkerSources[Ge]||(this.demWorkerSources[Ge]={}),this.demWorkerSources[Ge][Je]||(this.demWorkerSources[Ge][Je]=new c),this.demWorkerSources[Ge][Je]}}return i.i(self)&&(self.worker=new Vr(self)),Vr}),r(\"index\",[\"exports\",\"./shared\"],function(i,a){\"use strict\";var o=\"4.7.1\";let s,l,u={now:typeof performance!=\"undefined\"&&performance&&performance.now?performance.now.bind(performance):Date.now.bind(Date),frameAsync:ue=>new Promise((w,B)=>{let 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0&&(ee.className=B),Q&&Q.appendChild(ee),ee}static createNS(w,B){return window.document.createElementNS(w,B)}static disableDrag(){c.docStyle&&c.selectProp&&(c.userSelect=c.docStyle[c.selectProp],c.docStyle[c.selectProp]=\"none\")}static enableDrag(){c.docStyle&&c.selectProp&&(c.docStyle[c.selectProp]=c.userSelect)}static setTransform(w,B){w.style[c.transformProp]=B}static addEventListener(w,B,Q,ee={}){w.addEventListener(B,Q,\"passive\"in ee?ee:ee.capture)}static removeEventListener(w,B,Q,ee={}){w.removeEventListener(B,Q,\"passive\"in ee?ee:ee.capture)}static suppressClickInternal(w){w.preventDefault(),w.stopPropagation(),window.removeEventListener(\"click\",c.suppressClickInternal,!0)}static suppressClick(){window.addEventListener(\"click\",c.suppressClickInternal,!0),window.setTimeout(()=>{window.removeEventListener(\"click\",c.suppressClickInternal,!0)},0)}static getScale(w){let B=w.getBoundingClientRect();return{x:B.width/w.offsetWidth||1,y:B.height/w.offsetHeight||1,boundingClientRect:B}}static getPoint(w,B,Q){let ee=B.boundingClientRect;return new a.P((Q.clientX-ee.left)/B.x-w.clientLeft,(Q.clientY-ee.top)/B.y-w.clientTop)}static mousePos(w,B){let Q=c.getScale(w);return c.getPoint(w,Q,B)}static touchPos(w,B){let Q=[],ee=c.getScale(w);for(let le=0;le<B.length;le++)Q.push(c.getPoint(w,ee,B[le]));return Q}static mouseButton(w){return w.button}static remove(w){w.parentNode&&w.parentNode.removeChild(w)}}c.docStyle=typeof window!=\"undefined\"&&window.document&&window.document.documentElement.style,c.selectProp=c.testProp([\"userSelect\",\"MozUserSelect\",\"WebkitUserSelect\",\"msUserSelect\"]),c.transformProp=c.testProp([\"transform\",\"WebkitTransform\"]);let f={supported:!1,testSupport:function(ue){!v&&d&&(_?b(ue):h=ue)}},h,d,v=!1,_=!1;function b(ue){let w=ue.createTexture();ue.bindTexture(ue.TEXTURE_2D,w);try{if(ue.texImage2D(ue.TEXTURE_2D,0,ue.RGBA,ue.RGBA,ue.UNSIGNED_BYTE,d),ue.isContextLost())return;f.supported=!0}catch(B){}ue.deleteTexture(w),v=!0}var p;typeof document!=\"undefined\"&&(d=document.createElement(\"img\"),d.onload=()=>{h&&b(h),h=null,_=!0},d.onerror=()=>{v=!0,h=null},d.src=\"data:image/webp;base64,UklGRh4AAABXRUJQVlA4TBEAAAAvAQAAAAfQ//73v/+BiOh/AAA=\"),function(ue){let w,B,Q,ee;ue.resetRequestQueue=()=>{w=[],B=0,Q=0,ee={}},ue.addThrottleControl=ot=>{let Tt=Q++;return ee[Tt]=ot,Tt},ue.removeThrottleControl=ot=>{delete ee[ot],qe()},ue.getImage=(ot,Tt,Yt=!0)=>new Promise((Kt,xr)=>{f.supported&&(ot.headers||(ot.headers={}),ot.headers.accept=\"image/webp,*/*\"),a.e(ot,{type:\"image\"}),w.push({abortController:Tt,requestParameters:ot,supportImageRefresh:Yt,state:\"queued\",onError:Ir=>{xr(Ir)},onSuccess:Ir=>{Kt(Ir)}}),qe()});let le=ot=>a._(this,void 0,void 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Image,Ir=ot.url,ve=ot.credentials;ve&&ve===\"include\"?xr.crossOrigin=\"use-credentials\":(ve&&ve===\"same-origin\"||!a.s(Ir))&&(xr.crossOrigin=\"anonymous\"),Tt.signal.addEventListener(\"abort\",()=>{xr.src=\"\",Kt(a.c())}),xr.fetchPriority=\"high\",xr.onload=()=>{xr.onerror=xr.onload=null,Yt({data:xr})},xr.onerror=()=>{xr.onerror=xr.onload=null,Tt.signal.aborted||Kt(new Error(\"Could not load image. 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Note that SVGs are not supported.\"))},xr.src=Ir})}(p||(p={})),p.resetRequestQueue();class k{constructor(w){this._transformRequestFn=w}transformRequest(w,B){return this._transformRequestFn&&this._transformRequestFn(w,B)||{url:w}}setTransformRequest(w){this._transformRequestFn=w}}function E(ue){var w=new a.A(3);return w[0]=ue[0],w[1]=ue[1],w[2]=ue[2],w}var S,L=function(ue,w,B){return ue[0]=w[0]-B[0],ue[1]=w[1]-B[1],ue[2]=w[2]-B[2],ue};S=new a.A(3),a.A!=Float32Array&&(S[0]=0,S[1]=0,S[2]=0);var x=function(ue){var w=ue[0],B=ue[1];return w*w+B*B};function C(ue){let w=[];if(typeof ue==\"string\")w.push({id:\"default\",url:ue});else if(ue&&ue.length>0){let B=[];for(let{id:Q,url:ee}of ue){let le=`${Q}${ee}`;B.indexOf(le)===-1&&(B.push(le),w.push({id:Q,url:ee}))}}return w}function M(ue,w,B){let Q=ue.split(\"?\");return Q[0]+=`${w}${B}`,Q.join(\"?\")}(function(){var ue=new a.A(2);a.A!=Float32Array&&(ue[0]=0,ue[1]=0)})();class g{constructor(w,B,Q,ee){this.context=w,this.format=Q,this.texture=w.gl.createTexture(),this.update(B,ee)}update(w,B,Q){let{width:ee,height:le}=w,qe=!(this.size&&this.size[0]===ee&&this.size[1]===le||Q),{context:Xe}=this,{gl:ot}=Xe;if(this.useMipmap=!!(B&&B.useMipmap),ot.bindTexture(ot.TEXTURE_2D,this.texture),Xe.pixelStoreUnpackFlipY.set(!1),Xe.pixelStoreUnpack.set(1),Xe.pixelStoreUnpackPremultiplyAlpha.set(this.format===ot.RGBA&&(!B||B.premultiply!==!1)),qe)this.size=[ee,le],w instanceof HTMLImageElement||w instanceof HTMLCanvasElement||w instanceof HTMLVideoElement||w instanceof ImageData||a.b(w)?ot.texImage2D(ot.TEXTURE_2D,0,this.format,this.format,ot.UNSIGNED_BYTE,w):ot.texImage2D(ot.TEXTURE_2D,0,this.format,ee,le,0,this.format,ot.UNSIGNED_BYTE,w.data);else{let{x:Tt,y:Yt}=Q||{x:0,y:0};w instanceof HTMLImageElement||w instanceof HTMLCanvasElement||w instanceof HTMLVideoElement||w instanceof ImageData||a.b(w)?ot.texSubImage2D(ot.TEXTURE_2D,0,Tt,Yt,ot.RGBA,ot.UNSIGNED_BYTE,w):ot.texSubImage2D(ot.TEXTURE_2D,0,Tt,Yt,ee,le,ot.RGBA,ot.UNSIGNED_BYTE,w.data)}this.useMipmap&&this.isSizePowerOfTwo()&&ot.generateMipmap(ot.TEXTURE_2D)}bind(w,B,Q){let{context:ee}=this,{gl:le}=ee;le.bindTexture(le.TEXTURE_2D,this.texture),Q!==le.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(Q=le.LINEAR),w!==this.filter&&(le.texParameteri(le.TEXTURE_2D,le.TEXTURE_MAG_FILTER,w),le.texParameteri(le.TEXTURE_2D,le.TEXTURE_MIN_FILTER,Q||w),this.filter=w),B!==this.wrap&&(le.texParameteri(le.TEXTURE_2D,le.TEXTURE_WRAP_S,B),le.texParameteri(le.TEXTURE_2D,le.TEXTURE_WRAP_T,B),this.wrap=B)}isSizePowerOfTwo(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0}destroy(){let{gl:w}=this.context;w.deleteTexture(this.texture),this.texture=null}}function P(ue){let{userImage:w}=ue;return!!(w&&w.render&&w.render())&&(ue.data.replace(new Uint8Array(w.data.buffer)),!0)}class T extends a.E{constructor(){super(),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new a.R({width:1,height:1}),this.dirty=!0}isLoaded(){return this.loaded}setLoaded(w){if(this.loaded!==w&&(this.loaded=w,w)){for(let{ids:B,promiseResolve:Q}of this.requestors)Q(this._getImagesForIds(B));this.requestors=[]}}getImage(w){let B=this.images[w];if(B&&!B.data&&B.spriteData){let Q=B.spriteData;B.data=new a.R({width:Q.width,height:Q.height},Q.context.getImageData(Q.x,Q.y,Q.width,Q.height).data),B.spriteData=null}return B}addImage(w,B){if(this.images[w])throw new Error(`Image id ${w} already exist, use updateImage instead`);this._validate(w,B)&&(this.images[w]=B)}_validate(w,B){let Q=!0,ee=B.data||B.spriteData;return this._validateStretch(B.stretchX,ee&&ee.width)||(this.fire(new a.j(new Error(`Image \"${w}\" has invalid \"stretchX\" value`))),Q=!1),this._validateStretch(B.stretchY,ee&&ee.height)||(this.fire(new a.j(new Error(`Image \"${w}\" has invalid \"stretchY\" value`))),Q=!1),this._validateContent(B.content,B)||(this.fire(new a.j(new Error(`Image \"${w}\" has invalid \"content\" value`))),Q=!1),Q}_validateStretch(w,B){if(!w)return!0;let Q=0;for(let ee of w){if(ee[0]<Q||ee[1]<ee[0]||B<ee[1])return!1;Q=ee[1]}return!0}_validateContent(w,B){if(!w)return!0;if(w.length!==4)return!1;let Q=B.spriteData,ee=Q&&Q.width||B.data.width,le=Q&&Q.height||B.data.height;return!(w[0]<0||ee<w[0]||w[1]<0||le<w[1]||w[2]<0||ee<w[2]||w[3]<0||le<w[3]||w[2]<w[0]||w[3]<w[1])}updateImage(w,B,Q=!0){let ee=this.getImage(w);if(Q&&(ee.data.width!==B.data.width||ee.data.height!==B.data.height))throw new Error(`size mismatch between old image (${ee.data.width}x${ee.data.height}) and new image (${B.data.width}x${B.data.height}).`);B.version=ee.version+1,this.images[w]=B,this.updatedImages[w]=!0}removeImage(w){let B=this.images[w];delete this.images[w],delete this.patterns[w],B.userImage&&B.userImage.onRemove&&B.userImage.onRemove()}listImages(){return Object.keys(this.images)}getImages(w){return new Promise((B,Q)=>{let ee=!0;if(!this.isLoaded())for(let le of w)this.images[le]||(ee=!1);this.isLoaded()||ee?B(this._getImagesForIds(w)):this.requestors.push({ids:w,promiseResolve:B})})}_getImagesForIds(w){let B={};for(let Q of w){let ee=this.getImage(Q);ee||(this.fire(new a.k(\"styleimagemissing\",{id:Q})),ee=this.getImage(Q)),ee?B[Q]={data:ee.data.clone(),pixelRatio:ee.pixelRatio,sdf:ee.sdf,version:ee.version,stretchX:ee.stretchX,stretchY:ee.stretchY,content:ee.content,textFitWidth:ee.textFitWidth,textFitHeight:ee.textFitHeight,hasRenderCallback:!!(ee.userImage&&ee.userImage.render)}:a.w(`Image \"${Q}\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.`)}return B}getPixelSize(){let{width:w,height:B}=this.atlasImage;return{width:w,height:B}}getPattern(w){let B=this.patterns[w],Q=this.getImage(w);if(!Q)return null;if(B&&B.position.version===Q.version)return B.position;if(B)B.position.version=Q.version;else{let ee={w:Q.data.width+2,h:Q.data.height+2,x:0,y:0},le=new a.I(ee,Q);this.patterns[w]={bin:ee,position:le}}return this._updatePatternAtlas(),this.patterns[w].position}bind(w){let B=w.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new g(w,this.atlasImage,B.RGBA),this.atlasTexture.bind(B.LINEAR,B.CLAMP_TO_EDGE)}_updatePatternAtlas(){let w=[];for(let le in this.patterns)w.push(this.patterns[le].bin);let{w:B,h:Q}=a.p(w),ee=this.atlasImage;ee.resize({width:B||1,height:Q||1});for(let le in this.patterns){let{bin:qe}=this.patterns[le],Xe=qe.x+1,ot=qe.y+1,Tt=this.getImage(le).data,Yt=Tt.width,Kt=Tt.height;a.R.copy(Tt,ee,{x:0,y:0},{x:Xe,y:ot},{width:Yt,height:Kt}),a.R.copy(Tt,ee,{x:0,y:Kt-1},{x:Xe,y:ot-1},{width:Yt,height:1}),a.R.copy(Tt,ee,{x:0,y:0},{x:Xe,y:ot+Kt},{width:Yt,height:1}),a.R.copy(Tt,ee,{x:Yt-1,y:0},{x:Xe-1,y:ot},{width:1,height:Kt}),a.R.copy(Tt,ee,{x:0,y:0},{x:Xe+Yt,y:ot},{width:1,height:Kt})}this.dirty=!0}beginFrame(){this.callbackDispatchedThisFrame={}}dispatchRenderCallbacks(w){for(let B of w){if(this.callbackDispatchedThisFrame[B])continue;this.callbackDispatchedThisFrame[B]=!0;let Q=this.getImage(B);Q||a.w(`Image with ID: \"${B}\" was not found`),P(Q)&&this.updateImage(B,Q)}}}let z=1e20;function O(ue,w,B,Q,ee,le,qe,Xe,ot){for(let Tt=w;Tt<w+Q;Tt++)V(ue,B*le+Tt,le,ee,qe,Xe,ot);for(let Tt=B;Tt<B+ee;Tt++)V(ue,Tt*le+w,1,Q,qe,Xe,ot)}function V(ue,w,B,Q,ee,le,qe){le[0]=0,qe[0]=-z,qe[1]=z,ee[0]=ue[w];for(let Xe=1,ot=0,Tt=0;Xe<Q;Xe++){ee[Xe]=ue[w+Xe*B];let Yt=Xe*Xe;do{let Kt=le[ot];Tt=(ee[Xe]-ee[Kt]+Yt-Kt*Kt)/(Xe-Kt)/2}while(Tt<=qe[ot]&&--ot>-1);ot++,le[ot]=Xe,qe[ot]=Tt,qe[ot+1]=z}for(let Xe=0,ot=0;Xe<Q;Xe++){for(;qe[ot+1]<Xe;)ot++;let Tt=le[ot],Yt=Xe-Tt;ue[w+Xe*B]=ee[Tt]+Yt*Yt}}class G{constructor(w,B){this.requestManager=w,this.localIdeographFontFamily=B,this.entries={}}setURL(w){this.url=w}getGlyphs(w){return a._(this,void 0,void 0,function*(){let B=[];for(let le in w)for(let qe of w[le])B.push(this._getAndCacheGlyphsPromise(le,qe));let Q=yield Promise.all(B),ee={};for(let{stack:le,id:qe,glyph:Xe}of Q)ee[le]||(ee[le]={}),ee[le][qe]=Xe&&{id:Xe.id,bitmap:Xe.bitmap.clone(),metrics:Xe.metrics};return ee})}_getAndCacheGlyphsPromise(w,B){return a._(this,void 0,void 0,function*(){let Q=this.entries[w];Q||(Q=this.entries[w]={glyphs:{},requests:{},ranges:{}});let ee=Q.glyphs[B];if(ee!==void 0)return{stack:w,id:B,glyph:ee};if(ee=this._tinySDF(Q,w,B),ee)return Q.glyphs[B]=ee,{stack:w,id:B,glyph:ee};let le=Math.floor(B/256);if(256*le>65535)throw new Error(\"glyphs > 65535 not supported\");if(Q.ranges[le])return{stack:w,id:B,glyph:ee};if(!this.url)throw new Error(\"glyphsUrl is not set\");if(!Q.requests[le]){let Xe=G.loadGlyphRange(w,le,this.url,this.requestManager);Q.requests[le]=Xe}let qe=yield Q.requests[le];for(let Xe in qe)this._doesCharSupportLocalGlyph(+Xe)||(Q.glyphs[+Xe]=qe[+Xe]);return Q.ranges[le]=!0,{stack:w,id:B,glyph:qe[B]||null}})}_doesCharSupportLocalGlyph(w){return!!this.localIdeographFontFamily&&new RegExp(\"\\\\p{Ideo}|\\\\p{sc=Hang}|\\\\p{sc=Hira}|\\\\p{sc=Kana}\",\"u\").test(String.fromCodePoint(w))}_tinySDF(w,B,Q){let ee=this.localIdeographFontFamily;if(!ee||!this._doesCharSupportLocalGlyph(Q))return;let le=w.tinySDF;if(!le){let Xe=\"400\";/bold/i.test(B)?Xe=\"900\":/medium/i.test(B)?Xe=\"500\":/light/i.test(B)&&(Xe=\"200\"),le=w.tinySDF=new G.TinySDF({fontSize:48,buffer:6,radius:16,cutoff:.25,fontFamily:ee,fontWeight:Xe})}let qe=le.draw(String.fromCharCode(Q));return{id:Q,bitmap:new a.o({width:qe.width||60,height:qe.height||60},qe.data),metrics:{width:qe.glyphWidth/2||24,height:qe.glyphHeight/2||24,left:qe.glyphLeft/2+.5||0,top:qe.glyphTop/2-27.5||-8,advance:qe.glyphAdvance/2||24,isDoubleResolution:!0}}}}G.loadGlyphRange=function(ue,w,B,Q){return a._(this,void 0,void 0,function*(){let ee=256*w,le=ee+255,qe=Q.transformRequest(B.replace(\"{fontstack}\",ue).replace(\"{range}\",`${ee}-${le}`),\"Glyphs\"),Xe=yield a.l(qe,new AbortController);if(!Xe||!Xe.data)throw new Error(`Could not load glyph range. range: ${w}, ${ee}-${le}`);let ot={};for(let Tt of a.n(Xe.data))ot[Tt.id]=Tt;return ot})},G.TinySDF=class{constructor({fontSize:ue=24,buffer:w=3,radius:B=8,cutoff:Q=.25,fontFamily:ee=\"sans-serif\",fontWeight:le=\"normal\",fontStyle:qe=\"normal\"}={}){this.buffer=w,this.cutoff=Q,this.radius=B;let Xe=this.size=ue+4*w,ot=this._createCanvas(Xe),Tt=this.ctx=ot.getContext(\"2d\",{willReadFrequently:!0});Tt.font=`${qe} ${le} ${ue}px ${ee}`,Tt.textBaseline=\"alphabetic\",Tt.textAlign=\"left\",Tt.fillStyle=\"black\",this.gridOuter=new Float64Array(Xe*Xe),this.gridInner=new Float64Array(Xe*Xe),this.f=new Float64Array(Xe),this.z=new Float64Array(Xe+1),this.v=new Uint16Array(Xe)}_createCanvas(ue){let w=document.createElement(\"canvas\");return w.width=w.height=ue,w}draw(ue){let{width:w,actualBoundingBoxAscent:B,actualBoundingBoxDescent:Q,actualBoundingBoxLeft:ee,actualBoundingBoxRight:le}=this.ctx.measureText(ue),qe=Math.ceil(B),Xe=Math.max(0,Math.min(this.size-this.buffer,Math.ceil(le-ee))),ot=Math.min(this.size-this.buffer,qe+Math.ceil(Q)),Tt=Xe+2*this.buffer,Yt=ot+2*this.buffer,Kt=Math.max(Tt*Yt,0),xr=new Uint8ClampedArray(Kt),Ir={data:xr,width:Tt,height:Yt,glyphWidth:Xe,glyphHeight:ot,glyphTop:qe,glyphLeft:0,glyphAdvance:w};if(Xe===0||ot===0)return Ir;let{ctx:ve,buffer:be,gridInner:De,gridOuter:Be}=this;ve.clearRect(be,be,Xe,ot),ve.fillText(ue,be,be+qe);let et=ve.getImageData(be,be,Xe,ot);Be.fill(z,0,Kt),De.fill(0,0,Kt);for(let We=0;We<ot;We++)for(let it=0;it<Xe;it++){let Ft=et.data[4*(We*Xe+it)+3]/255;if(Ft===0)continue;let Ht=(We+be)*Tt+it+be;if(Ft===1)Be[Ht]=0,De[Ht]=z;else{let tr=.5-Ft;Be[Ht]=tr>0?tr*tr:0,De[Ht]=tr<0?tr*tr:0}}O(Be,0,0,Tt,Yt,Tt,this.f,this.v,this.z),O(De,be,be,Xe,ot,Tt,this.f,this.v,this.z);for(let We=0;We<Kt;We++){let it=Math.sqrt(Be[We])-Math.sqrt(De[We]);xr[We]=Math.round(255-255*(it/this.radius+this.cutoff))}return Ir}};class Z{constructor(){this.specification=a.v.light.position}possiblyEvaluate(w,B){return a.x(w.expression.evaluate(B))}interpolate(w,B,Q){return{x:a.y.number(w.x,B.x,Q),y:a.y.number(w.y,B.y,Q),z:a.y.number(w.z,B.z,Q)}}}let j;class N extends a.E{constructor(w){super(),j=j||new a.q({anchor:new a.D(a.v.light.anchor),position:new Z,color:new a.D(a.v.light.color),intensity:new a.D(a.v.light.intensity)}),this._transitionable=new a.T(j),this.setLight(w),this._transitioning=this._transitionable.untransitioned()}getLight(){return this._transitionable.serialize()}setLight(w,B={}){if(!this._validate(a.r,w,B))for(let Q in w){let ee=w[Q];Q.endsWith(\"-transition\")?this._transitionable.setTransition(Q.slice(0,-11),ee):this._transitionable.setValue(Q,ee)}}updateTransitions(w){this._transitioning=this._transitionable.transitioned(w,this._transitioning)}hasTransition(){return this._transitioning.hasTransition()}recalculate(w){this.properties=this._transitioning.possiblyEvaluate(w)}_validate(w,B,Q){return(!Q||Q.validate!==!1)&&a.t(this,w.call(a.u,{value:B,style:{glyphs:!0,sprite:!0},styleSpec:a.v}))}}let H=new a.q({\"sky-color\":new a.D(a.v.sky[\"sky-color\"]),\"horizon-color\":new a.D(a.v.sky[\"horizon-color\"]),\"fog-color\":new a.D(a.v.sky[\"fog-color\"]),\"fog-ground-blend\":new a.D(a.v.sky[\"fog-ground-blend\"]),\"horizon-fog-blend\":new a.D(a.v.sky[\"horizon-fog-blend\"]),\"sky-horizon-blend\":new a.D(a.v.sky[\"sky-horizon-blend\"]),\"atmosphere-blend\":new a.D(a.v.sky[\"atmosphere-blend\"])});class te extends a.E{constructor(w){super(),this._transitionable=new a.T(H),this.setSky(w),this._transitioning=this._transitionable.untransitioned(),this.recalculate(new a.z(0))}setSky(w,B={}){if(!this._validate(a.B,w,B)){w||(w={\"sky-color\":\"transparent\",\"horizon-color\":\"transparent\",\"fog-color\":\"transparent\",\"fog-ground-blend\":1,\"atmosphere-blend\":0});for(let Q in w){let ee=w[Q];Q.endsWith(\"-transition\")?this._transitionable.setTransition(Q.slice(0,-11),ee):this._transitionable.setValue(Q,ee)}}}getSky(){return this._transitionable.serialize()}updateTransitions(w){this._transitioning=this._transitionable.transitioned(w,this._transitioning)}hasTransition(){return this._transitioning.hasTransition()}recalculate(w){this.properties=this._transitioning.possiblyEvaluate(w)}_validate(w,B,Q={}){return(Q==null?void 0:Q.validate)!==!1&&a.t(this,w.call(a.u,a.e({value:B,style:{glyphs:!0,sprite:!0},styleSpec:a.v})))}calculateFogBlendOpacity(w){return w<60?0:w<70?(w-60)/10:1}}class oe{constructor(w,B){this.width=w,this.height=B,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}}getDash(w,B){let Q=w.join(\",\")+String(B);return this.dashEntry[Q]||(this.dashEntry[Q]=this.addDash(w,B)),this.dashEntry[Q]}getDashRanges(w,B,Q){let ee=[],le=w.length%2==1?-w[w.length-1]*Q:0,qe=w[0]*Q,Xe=!0;ee.push({left:le,right:qe,isDash:Xe,zeroLength:w[0]===0});let ot=w[0];for(let Tt=1;Tt<w.length;Tt++){Xe=!Xe;let Yt=w[Tt];le=ot*Q,ot+=Yt,qe=ot*Q,ee.push({left:le,right:qe,isDash:Xe,zeroLength:Yt===0})}return ee}addRoundDash(w,B,Q){let ee=B/2;for(let le=-Q;le<=Q;le++){let qe=this.width*(this.nextRow+Q+le),Xe=0,ot=w[Xe];for(let Tt=0;Tt<this.width;Tt++){Tt/ot.right>1&&(ot=w[++Xe]);let Yt=Math.abs(Tt-ot.left),Kt=Math.abs(Tt-ot.right),xr=Math.min(Yt,Kt),Ir,ve=le/Q*(ee+1);if(ot.isDash){let be=ee-Math.abs(ve);Ir=Math.sqrt(xr*xr+be*be)}else Ir=ee-Math.sqrt(xr*xr+ve*ve);this.data[qe+Tt]=Math.max(0,Math.min(255,Ir+128))}}}addRegularDash(w){for(let Xe=w.length-1;Xe>=0;--Xe){let ot=w[Xe],Tt=w[Xe+1];ot.zeroLength?w.splice(Xe,1):Tt&&Tt.isDash===ot.isDash&&(Tt.left=ot.left,w.splice(Xe,1))}let B=w[0],Q=w[w.length-1];B.isDash===Q.isDash&&(B.left=Q.left-this.width,Q.right=B.right+this.width);let ee=this.width*this.nextRow,le=0,qe=w[le];for(let Xe=0;Xe<this.width;Xe++){Xe/qe.right>1&&(qe=w[++le]);let ot=Math.abs(Xe-qe.left),Tt=Math.abs(Xe-qe.right),Yt=Math.min(ot,Tt);this.data[ee+Xe]=Math.max(0,Math.min(255,(qe.isDash?Yt:-Yt)+128))}}addDash(w,B){let Q=B?7:0,ee=2*Q+1;if(this.nextRow+ee>this.height)return a.w(\"LineAtlas out of space\"),null;let le=0;for(let Xe=0;Xe<w.length;Xe++)le+=w[Xe];if(le!==0){let Xe=this.width/le,ot=this.getDashRanges(w,this.width,Xe);B?this.addRoundDash(ot,Xe,Q):this.addRegularDash(ot)}let qe={y:(this.nextRow+Q+.5)/this.height,height:2*Q/this.height,width:le};return this.nextRow+=ee,this.dirty=!0,qe}bind(w){let B=w.gl;this.texture?(B.bindTexture(B.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,B.texSubImage2D(B.TEXTURE_2D,0,0,0,this.width,this.height,B.ALPHA,B.UNSIGNED_BYTE,this.data))):(this.texture=B.createTexture(),B.bindTexture(B.TEXTURE_2D,this.texture),B.texParameteri(B.TEXTURE_2D,B.TEXTURE_WRAP_S,B.REPEAT),B.texParameteri(B.TEXTURE_2D,B.TEXTURE_WRAP_T,B.REPEAT),B.texParameteri(B.TEXTURE_2D,B.TEXTURE_MIN_FILTER,B.LINEAR),B.texParameteri(B.TEXTURE_2D,B.TEXTURE_MAG_FILTER,B.LINEAR),B.texImage2D(B.TEXTURE_2D,0,B.ALPHA,this.width,this.height,0,B.ALPHA,B.UNSIGNED_BYTE,this.data))}}let _e=\"maplibre_preloaded_worker_pool\";class Ee{constructor(){this.active={}}acquire(w){if(!this.workers)for(this.workers=[];this.workers.length<Ee.workerCount;)this.workers.push(new Worker(a.a.WORKER_URL));return this.active[w]=!0,this.workers.slice()}release(w){delete this.active[w],this.numActive()===0&&(this.workers.forEach(B=>{B.terminate()}),this.workers=null)}isPreloaded(){return!!this.active[_e]}numActive(){return Object.keys(this.active).length}}let Ce=Math.floor(u.hardwareConcurrency/2),me,ie;function Se(){return me||(me=new Ee),me}Ee.workerCount=a.C(globalThis)?Math.max(Math.min(Ce,3),1):1;class Le{constructor(w,B){this.workerPool=w,this.actors=[],this.currentActor=0,this.id=B;let Q=this.workerPool.acquire(B);for(let ee=0;ee<Q.length;ee++){let le=new a.F(Q[ee],B);le.name=`Worker ${ee}`,this.actors.push(le)}if(!this.actors.length)throw new Error(\"No actors found\")}broadcast(w,B){let Q=[];for(let ee of this.actors)Q.push(ee.sendAsync({type:w,data:B}));return Promise.all(Q)}getActor(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]}remove(w=!0){this.actors.forEach(B=>{B.remove()}),this.actors=[],w&&this.workerPool.release(this.id)}registerMessageHandler(w,B){for(let Q of this.actors)Q.registerMessageHandler(w,B)}}function Ae(){return ie||(ie=new Le(Se(),a.G),ie.registerMessageHandler(\"GR\",(ue,w,B)=>a.m(w,B))),ie}function Fe(ue,w){let B=a.H();return a.J(B,B,[1,1,0]),a.K(B,B,[.5*ue.width,.5*ue.height,1]),a.L(B,B,ue.calculatePosMatrix(w.toUnwrapped()))}function Pe(ue,w,B,Q,ee,le){let qe=function(Kt,xr,Ir){if(Kt)for(let ve of Kt){let be=xr[ve];if(be&&be.source===Ir&&be.type===\"fill-extrusion\")return!0}else for(let ve in xr){let be=xr[ve];if(be.source===Ir&&be.type===\"fill-extrusion\")return!0}return!1}(ee&&ee.layers,w,ue.id),Xe=le.maxPitchScaleFactor(),ot=ue.tilesIn(Q,Xe,qe);ot.sort(ge);let Tt=[];for(let Kt of ot)Tt.push({wrappedTileID:Kt.tileID.wrapped().key,queryResults:Kt.tile.queryRenderedFeatures(w,B,ue._state,Kt.queryGeometry,Kt.cameraQueryGeometry,Kt.scale,ee,le,Xe,Fe(ue.transform,Kt.tileID))});let Yt=function(Kt){let xr={},Ir={};for(let ve of Kt){let be=ve.queryResults,De=ve.wrappedTileID,Be=Ir[De]=Ir[De]||{};for(let et in be){let We=be[et],it=Be[et]=Be[et]||{},Ft=xr[et]=xr[et]||[];for(let Ht of We)it[Ht.featureIndex]||(it[Ht.featureIndex]=!0,Ft.push(Ht))}}return xr}(Tt);for(let Kt in Yt)Yt[Kt].forEach(xr=>{let Ir=xr.feature,ve=ue.getFeatureState(Ir.layer[\"source-layer\"],Ir.id);Ir.source=Ir.layer.source,Ir.layer[\"source-layer\"]&&(Ir.sourceLayer=Ir.layer[\"source-layer\"]),Ir.state=ve});return Yt}function ge(ue,w){let B=ue.tileID,Q=w.tileID;return B.overscaledZ-Q.overscaledZ||B.canonical.y-Q.canonical.y||B.wrap-Q.wrap||B.canonical.x-Q.canonical.x}function Re(ue,w,B){return a._(this,void 0,void 0,function*(){let Q=ue;if(ue.url?Q=(yield a.h(w.transformRequest(ue.url,\"Source\"),B)).data:yield u.frameAsync(B),!Q)return null;let ee=a.M(a.e(Q,ue),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);return\"vector_layers\"in Q&&Q.vector_layers&&(ee.vectorLayerIds=Q.vector_layers.map(le=>le.id)),ee})}class ce{constructor(w,B){w&&(B?this.setSouthWest(w).setNorthEast(B):Array.isArray(w)&&(w.length===4?this.setSouthWest([w[0],w[1]]).setNorthEast([w[2],w[3]]):this.setSouthWest(w[0]).setNorthEast(w[1])))}setNorthEast(w){return this._ne=w instanceof a.N?new a.N(w.lng,w.lat):a.N.convert(w),this}setSouthWest(w){return this._sw=w instanceof a.N?new a.N(w.lng,w.lat):a.N.convert(w),this}extend(w){let B=this._sw,Q=this._ne,ee,le;if(w instanceof a.N)ee=w,le=w;else{if(!(w instanceof ce))return Array.isArray(w)?w.length===4||w.every(Array.isArray)?this.extend(ce.convert(w)):this.extend(a.N.convert(w)):w&&(\"lng\"in w||\"lon\"in w)&&\"lat\"in w?this.extend(a.N.convert(w)):this;if(ee=w._sw,le=w._ne,!ee||!le)return this}return B||Q?(B.lng=Math.min(ee.lng,B.lng),B.lat=Math.min(ee.lat,B.lat),Q.lng=Math.max(le.lng,Q.lng),Q.lat=Math.max(le.lat,Q.lat)):(this._sw=new a.N(ee.lng,ee.lat),this._ne=new a.N(le.lng,le.lat)),this}getCenter(){return new a.N((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)}getSouthWest(){return this._sw}getNorthEast(){return this._ne}getNorthWest(){return new a.N(this.getWest(),this.getNorth())}getSouthEast(){return new a.N(this.getEast(),this.getSouth())}getWest(){return this._sw.lng}getSouth(){return this._sw.lat}getEast(){return this._ne.lng}getNorth(){return this._ne.lat}toArray(){return[this._sw.toArray(),this._ne.toArray()]}toString(){return`LngLatBounds(${this._sw.toString()}, ${this._ne.toString()})`}isEmpty(){return!(this._sw&&this._ne)}contains(w){let{lng:B,lat:Q}=a.N.convert(w),ee=this._sw.lng<=B&&B<=this._ne.lng;return this._sw.lng>this._ne.lng&&(ee=this._sw.lng>=B&&B>=this._ne.lng),this._sw.lat<=Q&&Q<=this._ne.lat&&ee}static convert(w){return w instanceof ce?w:w&&new ce(w)}static fromLngLat(w,B=0){let Q=360*B/40075017,ee=Q/Math.cos(Math.PI/180*w.lat);return new ce(new a.N(w.lng-ee,w.lat-Q),new a.N(w.lng+ee,w.lat+Q))}adjustAntiMeridian(){let w=new a.N(this._sw.lng,this._sw.lat),B=new a.N(this._ne.lng,this._ne.lat);return new ce(w,w.lng>B.lng?new a.N(B.lng+360,B.lat):B)}}class Ze{constructor(w,B,Q){this.bounds=ce.convert(this.validateBounds(w)),this.minzoom=B||0,this.maxzoom=Q||24}validateBounds(w){return Array.isArray(w)&&w.length===4?[Math.max(-180,w[0]),Math.max(-90,w[1]),Math.min(180,w[2]),Math.min(90,w[3])]:[-180,-90,180,90]}contains(w){let B=Math.pow(2,w.z),Q=Math.floor(a.O(this.bounds.getWest())*B),ee=Math.floor(a.Q(this.bounds.getNorth())*B),le=Math.ceil(a.O(this.bounds.getEast())*B),qe=Math.ceil(a.Q(this.bounds.getSouth())*B);return w.x>=Q&&w.x<le&&w.y>=ee&&w.y<qe}}class ut extends a.E{constructor(w,B,Q,ee){if(super(),this.id=w,this.dispatcher=Q,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,a.e(this,a.M(B,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=a.e({type:\"vector\"},B),this._collectResourceTiming=B.collectResourceTiming,this.tileSize!==512)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(ee)}load(){return a._(this,void 0,void 0,function*(){this._loaded=!1,this.fire(new a.k(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=new AbortController;try{let w=yield Re(this._options,this.map._requestManager,this._tileJSONRequest);this._tileJSONRequest=null,this._loaded=!0,this.map.style.sourceCaches[this.id].clearTiles(),w&&(a.e(this,w),w.bounds&&(this.tileBounds=new Ze(w.bounds,this.minzoom,this.maxzoom)),this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}catch(w){this._tileJSONRequest=null,this.fire(new a.j(w))}})}loaded(){return this._loaded}hasTile(w){return!this.tileBounds||this.tileBounds.contains(w.canonical)}onAdd(w){this.map=w,this.load()}setSourceProperty(w){this._tileJSONRequest&&this._tileJSONRequest.abort(),w(),this.load()}setTiles(w){return this.setSourceProperty(()=>{this._options.tiles=w}),this}setUrl(w){return this.setSourceProperty(()=>{this.url=w,this._options.url=w}),this}onRemove(){this._tileJSONRequest&&(this._tileJSONRequest.abort(),this._tileJSONRequest=null)}serialize(){return a.e({},this._options)}loadTile(w){return a._(this,void 0,void 0,function*(){let B=w.tileID.canonical.url(this.tiles,this.map.getPixelRatio(),this.scheme),Q={request:this.map._requestManager.transformRequest(B,\"Tile\"),uid:w.uid,tileID:w.tileID,zoom:w.tileID.overscaledZ,tileSize:this.tileSize*w.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:this.map.getPixelRatio(),showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};Q.request.collectResourceTiming=this._collectResourceTiming;let ee=\"RT\";if(w.actor&&w.state!==\"expired\"){if(w.state===\"loading\")return new Promise((le,qe)=>{w.reloadPromise={resolve:le,reject:qe}})}else w.actor=this.dispatcher.getActor(),ee=\"LT\";w.abortController=new AbortController;try{let le=yield w.actor.sendAsync({type:ee,data:Q},w.abortController);if(delete w.abortController,w.aborted)return;this._afterTileLoadWorkerResponse(w,le)}catch(le){if(delete w.abortController,w.aborted)return;if(le&&le.status!==404)throw le;this._afterTileLoadWorkerResponse(w,null)}})}_afterTileLoadWorkerResponse(w,B){if(B&&B.resourceTiming&&(w.resourceTiming=B.resourceTiming),B&&this.map._refreshExpiredTiles&&w.setExpiryData(B),w.loadVectorData(B,this.map.painter),w.reloadPromise){let Q=w.reloadPromise;w.reloadPromise=null,this.loadTile(w).then(Q.resolve).catch(Q.reject)}}abortTile(w){return a._(this,void 0,void 0,function*(){w.abortController&&(w.abortController.abort(),delete w.abortController),w.actor&&(yield w.actor.sendAsync({type:\"AT\",data:{uid:w.uid,type:this.type,source:this.id}}))})}unloadTile(w){return a._(this,void 0,void 0,function*(){w.unloadVectorData(),w.actor&&(yield w.actor.sendAsync({type:\"RMT\",data:{uid:w.uid,type:this.type,source:this.id}}))})}hasTransition(){return!1}}class pt extends a.E{constructor(w,B,Q,ee){super(),this.id=w,this.dispatcher=Q,this.setEventedParent(ee),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=a.e({type:\"raster\"},B),a.e(this,a.M(B,[\"url\",\"scheme\",\"tileSize\"]))}load(){return a._(this,void 0,void 0,function*(){this._loaded=!1,this.fire(new a.k(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=new AbortController;try{let w=yield Re(this._options,this.map._requestManager,this._tileJSONRequest);this._tileJSONRequest=null,this._loaded=!0,w&&(a.e(this,w),w.bounds&&(this.tileBounds=new Ze(w.bounds,this.minzoom,this.maxzoom)),this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}catch(w){this._tileJSONRequest=null,this.fire(new a.j(w))}})}loaded(){return this._loaded}onAdd(w){this.map=w,this.load()}onRemove(){this._tileJSONRequest&&(this._tileJSONRequest.abort(),this._tileJSONRequest=null)}setSourceProperty(w){this._tileJSONRequest&&(this._tileJSONRequest.abort(),this._tileJSONRequest=null),w(),this.load()}setTiles(w){return this.setSourceProperty(()=>{this._options.tiles=w}),this}setUrl(w){return this.setSourceProperty(()=>{this.url=w,this._options.url=w}),this}serialize(){return a.e({},this._options)}hasTile(w){return!this.tileBounds||this.tileBounds.contains(w.canonical)}loadTile(w){return a._(this,void 0,void 0,function*(){let B=w.tileID.canonical.url(this.tiles,this.map.getPixelRatio(),this.scheme);w.abortController=new AbortController;try{let Q=yield p.getImage(this.map._requestManager.transformRequest(B,\"Tile\"),w.abortController,this.map._refreshExpiredTiles);if(delete w.abortController,w.aborted)return void(w.state=\"unloaded\");if(Q&&Q.data){this.map._refreshExpiredTiles&&Q.cacheControl&&Q.expires&&w.setExpiryData({cacheControl:Q.cacheControl,expires:Q.expires});let ee=this.map.painter.context,le=ee.gl,qe=Q.data;w.texture=this.map.painter.getTileTexture(qe.width),w.texture?w.texture.update(qe,{useMipmap:!0}):(w.texture=new g(ee,qe,le.RGBA,{useMipmap:!0}),w.texture.bind(le.LINEAR,le.CLAMP_TO_EDGE,le.LINEAR_MIPMAP_NEAREST)),w.state=\"loaded\"}}catch(Q){if(delete w.abortController,w.aborted)w.state=\"unloaded\";else if(Q)throw w.state=\"errored\",Q}})}abortTile(w){return a._(this,void 0,void 0,function*(){w.abortController&&(w.abortController.abort(),delete w.abortController)})}unloadTile(w){return a._(this,void 0,void 0,function*(){w.texture&&this.map.painter.saveTileTexture(w.texture)})}hasTransition(){return!1}}class Zt extends pt{constructor(w,B,Q,ee){super(w,B,Q,ee),this.type=\"raster-dem\",this.maxzoom=22,this._options=a.e({type:\"raster-dem\"},B),this.encoding=B.encoding||\"mapbox\",this.redFactor=B.redFactor,this.greenFactor=B.greenFactor,this.blueFactor=B.blueFactor,this.baseShift=B.baseShift}loadTile(w){return a._(this,void 0,void 0,function*(){let B=w.tileID.canonical.url(this.tiles,this.map.getPixelRatio(),this.scheme),Q=this.map._requestManager.transformRequest(B,\"Tile\");w.neighboringTiles=this._getNeighboringTiles(w.tileID),w.abortController=new AbortController;try{let ee=yield p.getImage(Q,w.abortController,this.map._refreshExpiredTiles);if(delete w.abortController,w.aborted)return void(w.state=\"unloaded\");if(ee&&ee.data){let le=ee.data;this.map._refreshExpiredTiles&&ee.cacheControl&&ee.expires&&w.setExpiryData({cacheControl:ee.cacheControl,expires:ee.expires});let qe=a.b(le)&&a.U()?le:yield this.readImageNow(le),Xe={type:this.type,uid:w.uid,source:this.id,rawImageData:qe,encoding:this.encoding,redFactor:this.redFactor,greenFactor:this.greenFactor,blueFactor:this.blueFactor,baseShift:this.baseShift};if(!w.actor||w.state===\"expired\"){w.actor=this.dispatcher.getActor();let ot=yield w.actor.sendAsync({type:\"LDT\",data:Xe});w.dem=ot,w.needsHillshadePrepare=!0,w.needsTerrainPrepare=!0,w.state=\"loaded\"}}}catch(ee){if(delete w.abortController,w.aborted)w.state=\"unloaded\";else if(ee)throw w.state=\"errored\",ee}})}readImageNow(w){return a._(this,void 0,void 0,function*(){if(typeof VideoFrame!=\"undefined\"&&a.V()){let B=w.width+2,Q=w.height+2;try{return new a.R({width:B,height:Q},yield a.W(w,-1,-1,B,Q))}catch(ee){}}return u.getImageData(w,1)})}_getNeighboringTiles(w){let B=w.canonical,Q=Math.pow(2,B.z),ee=(B.x-1+Q)%Q,le=B.x===0?w.wrap-1:w.wrap,qe=(B.x+1+Q)%Q,Xe=B.x+1===Q?w.wrap+1:w.wrap,ot={};return ot[new a.S(w.overscaledZ,le,B.z,ee,B.y).key]={backfilled:!1},ot[new a.S(w.overscaledZ,Xe,B.z,qe,B.y).key]={backfilled:!1},B.y>0&&(ot[new a.S(w.overscaledZ,le,B.z,ee,B.y-1).key]={backfilled:!1},ot[new a.S(w.overscaledZ,w.wrap,B.z,B.x,B.y-1).key]={backfilled:!1},ot[new a.S(w.overscaledZ,Xe,B.z,qe,B.y-1).key]={backfilled:!1}),B.y+1<Q&&(ot[new a.S(w.overscaledZ,le,B.z,ee,B.y+1).key]={backfilled:!1},ot[new a.S(w.overscaledZ,w.wrap,B.z,B.x,B.y+1).key]={backfilled:!1},ot[new a.S(w.overscaledZ,Xe,B.z,qe,B.y+1).key]={backfilled:!1}),ot}unloadTile(w){return a._(this,void 0,void 0,function*(){w.demTexture&&this.map.painter.saveTileTexture(w.demTexture),w.fbo&&(w.fbo.destroy(),delete w.fbo),w.dem&&delete w.dem,delete w.neighboringTiles,w.state=\"unloaded\",w.actor&&(yield w.actor.sendAsync({type:\"RDT\",data:{type:this.type,uid:w.uid,source:this.id}}))})}}class st extends a.E{constructor(w,B,Q,ee){super(),this.id=w,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._pendingLoads=0,this.actor=Q.getActor(),this.setEventedParent(ee),this._data=B.data,this._options=a.e({},B),this._collectResourceTiming=B.collectResourceTiming,B.maxzoom!==void 0&&(this.maxzoom=B.maxzoom),B.type&&(this.type=B.type),B.attribution&&(this.attribution=B.attribution),this.promoteId=B.promoteId;let le=a.X/this.tileSize;B.clusterMaxZoom!==void 0&&this.maxzoom<=B.clusterMaxZoom&&a.w(`The maxzoom value \"${this.maxzoom}\" is expected to be greater than the clusterMaxZoom value \"${B.clusterMaxZoom}\".`),this.workerOptions=a.e({source:this.id,cluster:B.cluster||!1,geojsonVtOptions:{buffer:(B.buffer!==void 0?B.buffer:128)*le,tolerance:(B.tolerance!==void 0?B.tolerance:.375)*le,extent:a.X,maxZoom:this.maxzoom,lineMetrics:B.lineMetrics||!1,generateId:B.generateId||!1},superclusterOptions:{maxZoom:B.clusterMaxZoom!==void 0?B.clusterMaxZoom:this.maxzoom-1,minPoints:Math.max(2,B.clusterMinPoints||2),extent:a.X,radius:(B.clusterRadius||50)*le,log:!1,generateId:B.generateId||!1},clusterProperties:B.clusterProperties,filter:B.filter},B.workerOptions),typeof this.promoteId==\"string\"&&(this.workerOptions.promoteId=this.promoteId)}load(){return a._(this,void 0,void 0,function*(){yield this._updateWorkerData()})}onAdd(w){this.map=w,this.load()}setData(w){return this._data=w,this._updateWorkerData(),this}updateData(w){return this._updateWorkerData(w),this}getData(){return a._(this,void 0,void 0,function*(){let w=a.e({type:this.type},this.workerOptions);return this.actor.sendAsync({type:\"GD\",data:w})})}setClusterOptions(w){return this.workerOptions.cluster=w.cluster,w&&(w.clusterRadius!==void 0&&(this.workerOptions.superclusterOptions.radius=w.clusterRadius),w.clusterMaxZoom!==void 0&&(this.workerOptions.superclusterOptions.maxZoom=w.clusterMaxZoom)),this._updateWorkerData(),this}getClusterExpansionZoom(w){return this.actor.sendAsync({type:\"GCEZ\",data:{type:this.type,clusterId:w,source:this.id}})}getClusterChildren(w){return this.actor.sendAsync({type:\"GCC\",data:{type:this.type,clusterId:w,source:this.id}})}getClusterLeaves(w,B,Q){return this.actor.sendAsync({type:\"GCL\",data:{type:this.type,source:this.id,clusterId:w,limit:B,offset:Q}})}_updateWorkerData(w){return a._(this,void 0,void 0,function*(){let B=a.e({type:this.type},this.workerOptions);w?B.dataDiff=w:typeof this._data==\"string\"?(B.request=this.map._requestManager.transformRequest(u.resolveURL(this._data),\"Source\"),B.request.collectResourceTiming=this._collectResourceTiming):B.data=JSON.stringify(this._data),this._pendingLoads++,this.fire(new a.k(\"dataloading\",{dataType:\"source\"}));try{let Q=yield this.actor.sendAsync({type:\"LD\",data:B});if(this._pendingLoads--,this._removed||Q.abandoned)return void this.fire(new a.k(\"dataabort\",{dataType:\"source\"}));let ee=null;Q.resourceTiming&&Q.resourceTiming[this.id]&&(ee=Q.resourceTiming[this.id].slice(0));let le={dataType:\"source\"};this._collectResourceTiming&&ee&&ee.length>0&&a.e(le,{resourceTiming:ee}),this.fire(new a.k(\"data\",Object.assign(Object.assign({},le),{sourceDataType:\"metadata\"}))),this.fire(new a.k(\"data\",Object.assign(Object.assign({},le),{sourceDataType:\"content\"})))}catch(Q){if(this._pendingLoads--,this._removed)return void this.fire(new a.k(\"dataabort\",{dataType:\"source\"}));this.fire(new a.j(Q))}})}loaded(){return this._pendingLoads===0}loadTile(w){return a._(this,void 0,void 0,function*(){let B=w.actor?\"RT\":\"LT\";w.actor=this.actor;let Q={type:this.type,uid:w.uid,tileID:w.tileID,zoom:w.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:this.map.getPixelRatio(),showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};w.abortController=new AbortController;let ee=yield this.actor.sendAsync({type:B,data:Q},w.abortController);delete w.abortController,w.unloadVectorData(),w.aborted||w.loadVectorData(ee,this.map.painter,B===\"RT\")})}abortTile(w){return a._(this,void 0,void 0,function*(){w.abortController&&(w.abortController.abort(),delete w.abortController),w.aborted=!0})}unloadTile(w){return a._(this,void 0,void 0,function*(){w.unloadVectorData(),yield this.actor.sendAsync({type:\"RMT\",data:{uid:w.uid,type:this.type,source:this.id}})})}onRemove(){this._removed=!0,this.actor.sendAsync({type:\"RS\",data:{type:this.type,source:this.id}})}serialize(){return a.e({},this._options,{type:this.type,data:this._data})}hasTransition(){return!1}}var lt=a.Y([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]);class Gt extends a.E{constructor(w,B,Q,ee){super(),this.id=w,this.dispatcher=Q,this.coordinates=B.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(ee),this.options=B}load(w){return a._(this,void 0,void 0,function*(){this._loaded=!1,this.fire(new a.k(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,this._request=new AbortController;try{let B=yield p.getImage(this.map._requestManager.transformRequest(this.url,\"Image\"),this._request);this._request=null,this._loaded=!0,B&&B.data&&(this.image=B.data,w&&(this.coordinates=w),this._finishLoading())}catch(B){this._request=null,this._loaded=!0,this.fire(new a.j(B))}})}loaded(){return this._loaded}updateImage(w){return w.url?(this._request&&(this._request.abort(),this._request=null),this.options.url=w.url,this.load(w.coordinates).finally(()=>{this.texture=null}),this):this}_finishLoading(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))}onAdd(w){this.map=w,this.load()}onRemove(){this._request&&(this._request.abort(),this._request=null)}setCoordinates(w){this.coordinates=w;let B=w.map(a.Z.fromLngLat);this.tileID=function(ee){let le=1/0,qe=1/0,Xe=-1/0,ot=-1/0;for(let xr of ee)le=Math.min(le,xr.x),qe=Math.min(qe,xr.y),Xe=Math.max(Xe,xr.x),ot=Math.max(ot,xr.y);let Tt=Math.max(Xe-le,ot-qe),Yt=Math.max(0,Math.floor(-Math.log(Tt)/Math.LN2)),Kt=Math.pow(2,Yt);return new a.a1(Yt,Math.floor((le+Xe)/2*Kt),Math.floor((qe+ot)/2*Kt))}(B),this.minzoom=this.maxzoom=this.tileID.z;let Q=B.map(ee=>this.tileID.getTilePoint(ee)._round());return this._boundsArray=new a.$,this._boundsArray.emplaceBack(Q[0].x,Q[0].y,0,0),this._boundsArray.emplaceBack(Q[1].x,Q[1].y,a.X,0),this._boundsArray.emplaceBack(Q[3].x,Q[3].y,0,a.X),this._boundsArray.emplaceBack(Q[2].x,Q[2].y,a.X,a.X),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this}prepare(){if(Object.keys(this.tiles).length===0||!this.image)return;let w=this.map.painter.context,B=w.gl;this.boundsBuffer||(this.boundsBuffer=w.createVertexBuffer(this._boundsArray,lt.members)),this.boundsSegments||(this.boundsSegments=a.a0.simpleSegment(0,0,4,2)),this.texture||(this.texture=new g(w,this.image,B.RGBA),this.texture.bind(B.LINEAR,B.CLAMP_TO_EDGE));let Q=!1;for(let ee in this.tiles){let le=this.tiles[ee];le.state!==\"loaded\"&&(le.state=\"loaded\",le.texture=this.texture,Q=!0)}Q&&this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"idle\",sourceId:this.id}))}loadTile(w){return a._(this,void 0,void 0,function*(){this.tileID&&this.tileID.equals(w.tileID.canonical)?(this.tiles[String(w.tileID.wrap)]=w,w.buckets={}):w.state=\"errored\"})}serialize(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}}hasTransition(){return!1}}class Nt extends Gt{constructor(w,B,Q,ee){super(w,B,Q,ee),this.roundZoom=!0,this.type=\"video\",this.options=B}load(){return a._(this,void 0,void 0,function*(){this._loaded=!1;let w=this.options;this.urls=[];for(let B of w.urls)this.urls.push(this.map._requestManager.transformRequest(B,\"Source\").url);try{let B=yield a.a3(this.urls);if(this._loaded=!0,!B)return;this.video=B,this.video.loop=!0,this.video.addEventListener(\"playing\",()=>{this.map.triggerRepaint()}),this.map&&this.video.play(),this._finishLoading()}catch(B){this.fire(new a.j(B))}})}pause(){this.video&&this.video.pause()}play(){this.video&&this.video.play()}seek(w){if(this.video){let B=this.video.seekable;w<B.start(0)||w>B.end(0)?this.fire(new a.j(new a.a2(`sources.${this.id}`,null,`Playback for this video can be set only between the ${B.start(0)} and ${B.end(0)}-second mark.`))):this.video.currentTime=w}}getVideo(){return this.video}onAdd(w){this.map||(this.map=w,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))}prepare(){if(Object.keys(this.tiles).length===0||this.video.readyState<2)return;let w=this.map.painter.context,B=w.gl;this.boundsBuffer||(this.boundsBuffer=w.createVertexBuffer(this._boundsArray,lt.members)),this.boundsSegments||(this.boundsSegments=a.a0.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(B.LINEAR,B.CLAMP_TO_EDGE),B.texSubImage2D(B.TEXTURE_2D,0,0,0,B.RGBA,B.UNSIGNED_BYTE,this.video)):(this.texture=new g(w,this.video,B.RGBA),this.texture.bind(B.LINEAR,B.CLAMP_TO_EDGE));let Q=!1;for(let ee in this.tiles){let le=this.tiles[ee];le.state!==\"loaded\"&&(le.state=\"loaded\",le.texture=this.texture,Q=!0)}Q&&this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"idle\",sourceId:this.id}))}serialize(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}}hasTransition(){return this.video&&!this.video.paused}}class Jt extends Gt{constructor(w,B,Q,ee){super(w,B,Q,ee),B.coordinates?Array.isArray(B.coordinates)&&B.coordinates.length===4&&!B.coordinates.some(le=>!Array.isArray(le)||le.length!==2||le.some(qe=>typeof qe!=\"number\"))||this.fire(new a.j(new a.a2(`sources.${w}`,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new a.j(new a.a2(`sources.${w}`,null,'missing required property \"coordinates\"'))),B.animate&&typeof B.animate!=\"boolean\"&&this.fire(new a.j(new a.a2(`sources.${w}`,null,'optional \"animate\" property must be a boolean value'))),B.canvas?typeof B.canvas==\"string\"||B.canvas instanceof HTMLCanvasElement||this.fire(new a.j(new a.a2(`sources.${w}`,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new a.j(new a.a2(`sources.${w}`,null,'missing required property \"canvas\"'))),this.options=B,this.animate=B.animate===void 0||B.animate}load(){return a._(this,void 0,void 0,function*(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof HTMLCanvasElement?this.options.canvas:document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new a.j(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())})}getCanvas(){return this.canvas}onAdd(w){this.map=w,this.load(),this.canvas&&this.animate&&this.play()}onRemove(){this.pause()}prepare(){let w=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,w=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,w=!0),this._hasInvalidDimensions()||Object.keys(this.tiles).length===0)return;let B=this.map.painter.context,Q=B.gl;this.boundsBuffer||(this.boundsBuffer=B.createVertexBuffer(this._boundsArray,lt.members)),this.boundsSegments||(this.boundsSegments=a.a0.simpleSegment(0,0,4,2)),this.texture?(w||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new g(B,this.canvas,Q.RGBA,{premultiply:!0});let ee=!1;for(let le in this.tiles){let qe=this.tiles[le];qe.state!==\"loaded\"&&(qe.state=\"loaded\",qe.texture=this.texture,ee=!0)}ee&&this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"idle\",sourceId:this.id}))}serialize(){return{type:\"canvas\",coordinates:this.coordinates}}hasTransition(){return this._playing}_hasInvalidDimensions(){for(let w of[this.canvas.width,this.canvas.height])if(isNaN(w)||w<=0)return!0;return!1}}let sr={},wr=ue=>{switch(ue){case\"geojson\":return st;case\"image\":return Gt;case\"raster\":return pt;case\"raster-dem\":return Zt;case\"vector\":return ut;case\"video\":return Nt;case\"canvas\":return Jt}return sr[ue]},cr=\"RTLPluginLoaded\";class $e extends a.E{constructor(){super(...arguments),this.status=\"unavailable\",this.url=null,this.dispatcher=Ae()}_syncState(w){return this.status=w,this.dispatcher.broadcast(\"SRPS\",{pluginStatus:w,pluginURL:this.url}).catch(B=>{throw this.status=\"error\",B})}getRTLTextPluginStatus(){return this.status}clearRTLTextPlugin(){this.status=\"unavailable\",this.url=null}setRTLTextPlugin(w){return a._(this,arguments,void 0,function*(B,Q=!1){if(this.url)throw new Error(\"setRTLTextPlugin cannot be called multiple times.\");if(this.url=u.resolveURL(B),!this.url)throw new Error(`requested url ${B} is invalid`);if(this.status===\"unavailable\"){if(!Q)return this._requestImport();this.status=\"deferred\",this._syncState(this.status)}else if(this.status===\"requested\")return this._requestImport()})}_requestImport(){return a._(this,void 0,void 0,function*(){yield this._syncState(\"loading\"),this.status=\"loaded\",this.fire(new a.k(cr))})}lazyLoad(){this.status===\"unavailable\"?this.status=\"requested\":this.status===\"deferred\"&&this._requestImport()}}let St=null;function Qt(){return St||(St=new $e),St}class Vt{constructor(w,B){this.timeAdded=0,this.fadeEndTime=0,this.tileID=w,this.uid=a.a4(),this.uses=0,this.tileSize=B,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.rtt=[],this.rttCoords={},this.expiredRequestCount=0,this.state=\"loading\"}registerFadeDuration(w){let B=w+this.timeAdded;B<this.fadeEndTime||(this.fadeEndTime=B)}wasRequested(){return this.state===\"errored\"||this.state===\"loaded\"||this.state===\"reloading\"}clearTextures(w){this.demTexture&&w.saveTileTexture(this.demTexture),this.demTexture=null}loadVectorData(w,B,Q){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",w){w.featureIndex&&(this.latestFeatureIndex=w.featureIndex,w.rawTileData?(this.latestRawTileData=w.rawTileData,this.latestFeatureIndex.rawTileData=w.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=w.collisionBoxArray,this.buckets=function(ee,le){let qe={};if(!le)return qe;for(let Xe of ee){let ot=Xe.layerIds.map(Tt=>le.getLayer(Tt)).filter(Boolean);if(ot.length!==0){Xe.layers=ot,Xe.stateDependentLayerIds&&(Xe.stateDependentLayers=Xe.stateDependentLayerIds.map(Tt=>ot.filter(Yt=>Yt.id===Tt)[0]));for(let Tt of ot)qe[Tt.id]=Xe}}return qe}(w.buckets,B.style),this.hasSymbolBuckets=!1;for(let ee in this.buckets){let le=this.buckets[ee];if(le instanceof a.a6){if(this.hasSymbolBuckets=!0,!Q)break;le.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(let ee in this.buckets){let le=this.buckets[ee];if(le instanceof a.a6&&le.hasRTLText){this.hasRTLText=!0,Qt().lazyLoad();break}}this.queryPadding=0;for(let ee in this.buckets){let le=this.buckets[ee];this.queryPadding=Math.max(this.queryPadding,B.style.getLayer(ee).queryRadius(le))}w.imageAtlas&&(this.imageAtlas=w.imageAtlas),w.glyphAtlasImage&&(this.glyphAtlasImage=w.glyphAtlasImage)}else this.collisionBoxArray=new a.a5}unloadVectorData(){for(let w in this.buckets)this.buckets[w].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"}getBucket(w){return this.buckets[w.id]}upload(w){for(let Q in this.buckets){let ee=this.buckets[Q];ee.uploadPending()&&ee.upload(w)}let B=w.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new g(w,this.imageAtlas.image,B.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new g(w,this.glyphAtlasImage,B.ALPHA),this.glyphAtlasImage=null)}prepare(w){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(w,this.imageAtlasTexture)}queryRenderedFeatures(w,B,Q,ee,le,qe,Xe,ot,Tt,Yt){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:ee,cameraQueryGeometry:le,scale:qe,tileSize:this.tileSize,pixelPosMatrix:Yt,transform:ot,params:Xe,queryPadding:this.queryPadding*Tt},w,B,Q):{}}querySourceFeatures(w,B){let Q=this.latestFeatureIndex;if(!Q||!Q.rawTileData)return;let ee=Q.loadVTLayers(),le=B&&B.sourceLayer?B.sourceLayer:\"\",qe=ee._geojsonTileLayer||ee[le];if(!qe)return;let Xe=a.a7(B&&B.filter),{z:ot,x:Tt,y:Yt}=this.tileID.canonical,Kt={z:ot,x:Tt,y:Yt};for(let xr=0;xr<qe.length;xr++){let Ir=qe.feature(xr);if(Xe.needGeometry){let De=a.a8(Ir,!0);if(!Xe.filter(new a.z(this.tileID.overscaledZ),De,this.tileID.canonical))continue}else if(!Xe.filter(new a.z(this.tileID.overscaledZ),Ir))continue;let ve=Q.getId(Ir,le),be=new a.a9(Ir,ot,Tt,Yt,ve);be.tile=Kt,w.push(be)}}hasData(){return this.state===\"loaded\"||this.state===\"reloading\"||this.state===\"expired\"}patternsLoaded(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length}setExpiryData(w){let B=this.expirationTime;if(w.cacheControl){let Q=a.aa(w.cacheControl);Q[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*Q[\"max-age\"])}else w.expires&&(this.expirationTime=new Date(w.expires).getTime());if(this.expirationTime){let Q=Date.now(),ee=!1;if(this.expirationTime>Q)ee=!1;else if(B)if(this.expirationTime<B)ee=!0;else{let le=this.expirationTime-B;le?this.expirationTime=Q+Math.max(le,3e4):ee=!0}else ee=!0;ee?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}}getExpiryTimeout(){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)}setFeatureState(w,B){if(!this.latestFeatureIndex||!this.latestFeatureIndex.rawTileData||Object.keys(w).length===0)return;let Q=this.latestFeatureIndex.loadVTLayers();for(let ee in this.buckets){if(!B.style.hasLayer(ee))continue;let le=this.buckets[ee],qe=le.layers[0].sourceLayer||\"_geojsonTileLayer\",Xe=Q[qe],ot=w[qe];if(!Xe||!ot||Object.keys(ot).length===0)continue;le.update(ot,Xe,this.imageAtlas&&this.imageAtlas.patternPositions||{});let Tt=B&&B.style&&B.style.getLayer(ee);Tt&&(this.queryPadding=Math.max(this.queryPadding,Tt.queryRadius(le)))}}holdingForFade(){return this.symbolFadeHoldUntil!==void 0}symbolFadeFinished(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<u.now()}clearFadeHold(){this.symbolFadeHoldUntil=void 0}setHoldDuration(w){this.symbolFadeHoldUntil=u.now()+w}setDependencies(w,B){let Q={};for(let ee of B)Q[ee]=!0;this.dependencies[w]=Q}hasDependency(w,B){for(let Q of w){let ee=this.dependencies[Q];if(ee){for(let le of B)if(ee[le])return!0}}return!1}}class _t{constructor(w,B){this.max=w,this.onRemove=B,this.reset()}reset(){for(let w in this.data)for(let B of this.data[w])B.timeout&&clearTimeout(B.timeout),this.onRemove(B.value);return this.data={},this.order=[],this}add(w,B,Q){let ee=w.wrapped().key;this.data[ee]===void 0&&(this.data[ee]=[]);let le={value:B,timeout:void 0};if(Q!==void 0&&(le.timeout=setTimeout(()=>{this.remove(w,le)},Q)),this.data[ee].push(le),this.order.push(ee),this.order.length>this.max){let qe=this._getAndRemoveByKey(this.order[0]);qe&&this.onRemove(qe)}return this}has(w){return w.wrapped().key in this.data}getAndRemove(w){return this.has(w)?this._getAndRemoveByKey(w.wrapped().key):null}_getAndRemoveByKey(w){let B=this.data[w].shift();return B.timeout&&clearTimeout(B.timeout),this.data[w].length===0&&delete this.data[w],this.order.splice(this.order.indexOf(w),1),B.value}getByKey(w){let B=this.data[w];return B?B[0].value:null}get(w){return this.has(w)?this.data[w.wrapped().key][0].value:null}remove(w,B){if(!this.has(w))return this;let Q=w.wrapped().key,ee=B===void 0?0:this.data[Q].indexOf(B),le=this.data[Q][ee];return this.data[Q].splice(ee,1),le.timeout&&clearTimeout(le.timeout),this.data[Q].length===0&&delete this.data[Q],this.onRemove(le.value),this.order.splice(this.order.indexOf(Q),1),this}setMaxSize(w){for(this.max=w;this.order.length>this.max;){let B=this._getAndRemoveByKey(this.order[0]);B&&this.onRemove(B)}return this}filter(w){let B=[];for(let Q in this.data)for(let ee of this.data[Q])w(ee.value)||B.push(ee);for(let Q of B)this.remove(Q.value.tileID,Q)}}class It{constructor(){this.state={},this.stateChanges={},this.deletedStates={}}updateState(w,B,Q){let ee=String(B);if(this.stateChanges[w]=this.stateChanges[w]||{},this.stateChanges[w][ee]=this.stateChanges[w][ee]||{},a.e(this.stateChanges[w][ee],Q),this.deletedStates[w]===null){this.deletedStates[w]={};for(let le in this.state[w])le!==ee&&(this.deletedStates[w][le]=null)}else if(this.deletedStates[w]&&this.deletedStates[w][ee]===null){this.deletedStates[w][ee]={};for(let le in this.state[w][ee])Q[le]||(this.deletedStates[w][ee][le]=null)}else for(let le in Q)this.deletedStates[w]&&this.deletedStates[w][ee]&&this.deletedStates[w][ee][le]===null&&delete this.deletedStates[w][ee][le]}removeFeatureState(w,B,Q){if(this.deletedStates[w]===null)return;let ee=String(B);if(this.deletedStates[w]=this.deletedStates[w]||{},Q&&B!==void 0)this.deletedStates[w][ee]!==null&&(this.deletedStates[w][ee]=this.deletedStates[w][ee]||{},this.deletedStates[w][ee][Q]=null);else if(B!==void 0)if(this.stateChanges[w]&&this.stateChanges[w][ee])for(Q in this.deletedStates[w][ee]={},this.stateChanges[w][ee])this.deletedStates[w][ee][Q]=null;else this.deletedStates[w][ee]=null;else this.deletedStates[w]=null}getState(w,B){let Q=String(B),ee=a.e({},(this.state[w]||{})[Q],(this.stateChanges[w]||{})[Q]);if(this.deletedStates[w]===null)return{};if(this.deletedStates[w]){let le=this.deletedStates[w][B];if(le===null)return{};for(let qe in le)delete ee[qe]}return ee}initializeTileState(w,B){w.setFeatureState(this.state,B)}coalesceChanges(w,B){let Q={};for(let ee in this.stateChanges){this.state[ee]=this.state[ee]||{};let le={};for(let qe in this.stateChanges[ee])this.state[ee][qe]||(this.state[ee][qe]={}),a.e(this.state[ee][qe],this.stateChanges[ee][qe]),le[qe]=this.state[ee][qe];Q[ee]=le}for(let ee in this.deletedStates){this.state[ee]=this.state[ee]||{};let le={};if(this.deletedStates[ee]===null)for(let qe in this.state[ee])le[qe]={},this.state[ee][qe]={};else for(let qe in this.deletedStates[ee]){if(this.deletedStates[ee][qe]===null)this.state[ee][qe]={};else for(let Xe of Object.keys(this.deletedStates[ee][qe]))delete this.state[ee][qe][Xe];le[qe]=this.state[ee][qe]}Q[ee]=Q[ee]||{},a.e(Q[ee],le)}if(this.stateChanges={},this.deletedStates={},Object.keys(Q).length!==0)for(let ee in w)w[ee].setFeatureState(Q,B)}}class mt extends a.E{constructor(w,B,Q){super(),this.id=w,this.dispatcher=Q,this.on(\"data\",ee=>this._dataHandler(ee)),this.on(\"dataloading\",()=>{this._sourceErrored=!1}),this.on(\"error\",()=>{this._sourceErrored=this._source.loaded()}),this._source=((ee,le,qe,Xe)=>{let ot=new(wr(le.type))(ee,le,qe,Xe);if(ot.id!==ee)throw new Error(`Expected Source id to be ${ee} instead of ${ot.id}`);return ot})(w,B,Q,this),this._tiles={},this._cache=new _t(0,ee=>this._unloadTile(ee)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._maxTileCacheZoomLevels=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new It,this._didEmitContent=!1,this._updated=!1}onAdd(w){this.map=w,this._maxTileCacheSize=w?w._maxTileCacheSize:null,this._maxTileCacheZoomLevels=w?w._maxTileCacheZoomLevels:null,this._source&&this._source.onAdd&&this._source.onAdd(w)}onRemove(w){this.clearTiles(),this._source&&this._source.onRemove&&this._source.onRemove(w)}loaded(){if(this._sourceErrored)return!0;if(!this._sourceLoaded||!this._source.loaded())return!1;if(!(this.used===void 0&&this.usedForTerrain===void 0||this.used||this.usedForTerrain))return!0;if(!this._updated)return!1;for(let w in this._tiles){let B=this._tiles[w];if(B.state!==\"loaded\"&&B.state!==\"errored\")return!1}return!0}getSource(){return this._source}pause(){this._paused=!0}resume(){if(!this._paused)return;let w=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,w&&this.reload(),this.transform&&this.update(this.transform,this.terrain)}_loadTile(w,B,Q){return a._(this,void 0,void 0,function*(){try{yield this._source.loadTile(w),this._tileLoaded(w,B,Q)}catch(ee){w.state=\"errored\",ee.status!==404?this._source.fire(new a.j(ee,{tile:w})):this.update(this.transform,this.terrain)}})}_unloadTile(w){this._source.unloadTile&&this._source.unloadTile(w)}_abortTile(w){this._source.abortTile&&this._source.abortTile(w),this._source.fire(new a.k(\"dataabort\",{tile:w,coord:w.tileID,dataType:\"source\"}))}serialize(){return this._source.serialize()}prepare(w){this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null);for(let B in this._tiles){let Q=this._tiles[B];Q.upload(w),Q.prepare(this.map.style.imageManager)}}getIds(){return Object.values(this._tiles).map(w=>w.tileID).sort(er).map(w=>w.key)}getRenderableIds(w){let B=[];for(let Q in this._tiles)this._isIdRenderable(Q,w)&&B.push(this._tiles[Q]);return w?B.sort((Q,ee)=>{let le=Q.tileID,qe=ee.tileID,Xe=new a.P(le.canonical.x,le.canonical.y)._rotate(this.transform.angle),ot=new a.P(qe.canonical.x,qe.canonical.y)._rotate(this.transform.angle);return le.overscaledZ-qe.overscaledZ||ot.y-Xe.y||ot.x-Xe.x}).map(Q=>Q.tileID.key):B.map(Q=>Q.tileID).sort(er).map(Q=>Q.key)}hasRenderableParent(w){let B=this.findLoadedParent(w,0);return!!B&&this._isIdRenderable(B.tileID.key)}_isIdRenderable(w,B){return this._tiles[w]&&this._tiles[w].hasData()&&!this._coveredTiles[w]&&(B||!this._tiles[w].holdingForFade())}reload(){if(this._paused)this._shouldReloadOnResume=!0;else{this._cache.reset();for(let w in this._tiles)this._tiles[w].state!==\"errored\"&&this._reloadTile(w,\"reloading\")}}_reloadTile(w,B){return a._(this,void 0,void 0,function*(){let Q=this._tiles[w];Q&&(Q.state!==\"loading\"&&(Q.state=B),yield this._loadTile(Q,w,B))})}_tileLoaded(w,B,Q){w.timeAdded=u.now(),Q===\"expired\"&&(w.refreshedUponExpiration=!0),this._setTileReloadTimer(B,w),this.getSource().type===\"raster-dem\"&&w.dem&&this._backfillDEM(w),this._state.initializeTileState(w,this.map?this.map.painter:null),w.aborted||this._source.fire(new a.k(\"data\",{dataType:\"source\",tile:w,coord:w.tileID}))}_backfillDEM(w){let B=this.getRenderableIds();for(let ee=0;ee<B.length;ee++){let le=B[ee];if(w.neighboringTiles&&w.neighboringTiles[le]){let qe=this.getTileByID(le);Q(w,qe),Q(qe,w)}}function Q(ee,le){ee.needsHillshadePrepare=!0,ee.needsTerrainPrepare=!0;let qe=le.tileID.canonical.x-ee.tileID.canonical.x,Xe=le.tileID.canonical.y-ee.tileID.canonical.y,ot=Math.pow(2,ee.tileID.canonical.z),Tt=le.tileID.key;qe===0&&Xe===0||Math.abs(Xe)>1||(Math.abs(qe)>1&&(Math.abs(qe+ot)===1?qe+=ot:Math.abs(qe-ot)===1&&(qe-=ot)),le.dem&&ee.dem&&(ee.dem.backfillBorder(le.dem,qe,Xe),ee.neighboringTiles&&ee.neighboringTiles[Tt]&&(ee.neighboringTiles[Tt].backfilled=!0)))}}getTile(w){return this.getTileByID(w.key)}getTileByID(w){return this._tiles[w]}_retainLoadedChildren(w,B,Q,ee){for(let le in this._tiles){let qe=this._tiles[le];if(ee[le]||!qe.hasData()||qe.tileID.overscaledZ<=B||qe.tileID.overscaledZ>Q)continue;let Xe=qe.tileID;for(;qe&&qe.tileID.overscaledZ>B+1;){let Tt=qe.tileID.scaledTo(qe.tileID.overscaledZ-1);qe=this._tiles[Tt.key],qe&&qe.hasData()&&(Xe=Tt)}let ot=Xe;for(;ot.overscaledZ>B;)if(ot=ot.scaledTo(ot.overscaledZ-1),w[ot.key]){ee[Xe.key]=Xe;break}}}findLoadedParent(w,B){if(w.key in this._loadedParentTiles){let Q=this._loadedParentTiles[w.key];return Q&&Q.tileID.overscaledZ>=B?Q:null}for(let Q=w.overscaledZ-1;Q>=B;Q--){let ee=w.scaledTo(Q),le=this._getLoadedTile(ee);if(le)return le}}findLoadedSibling(w){return this._getLoadedTile(w)}_getLoadedTile(w){let B=this._tiles[w.key];return B&&B.hasData()?B:this._cache.getByKey(w.wrapped().key)}updateCacheSize(w){let B=Math.ceil(w.width/this._source.tileSize)+1,Q=Math.ceil(w.height/this._source.tileSize)+1,ee=Math.floor(B*Q*(this._maxTileCacheZoomLevels===null?a.a.MAX_TILE_CACHE_ZOOM_LEVELS:this._maxTileCacheZoomLevels)),le=typeof this._maxTileCacheSize==\"number\"?Math.min(this._maxTileCacheSize,ee):ee;this._cache.setMaxSize(le)}handleWrapJump(w){let B=Math.round((w-(this._prevLng===void 0?w:this._prevLng))/360);if(this._prevLng=w,B){let Q={};for(let ee in this._tiles){let le=this._tiles[ee];le.tileID=le.tileID.unwrapTo(le.tileID.wrap+B),Q[le.tileID.key]=le}this._tiles=Q;for(let ee in this._timers)clearTimeout(this._timers[ee]),delete this._timers[ee];for(let ee in this._tiles)this._setTileReloadTimer(ee,this._tiles[ee])}}_updateCoveredAndRetainedTiles(w,B,Q,ee,le,qe){let Xe={},ot={},Tt=Object.keys(w),Yt=u.now();for(let Kt of Tt){let xr=w[Kt],Ir=this._tiles[Kt];if(!Ir||Ir.fadeEndTime!==0&&Ir.fadeEndTime<=Yt)continue;let ve=this.findLoadedParent(xr,B),be=this.findLoadedSibling(xr),De=ve||be||null;De&&(this._addTile(De.tileID),Xe[De.tileID.key]=De.tileID),ot[Kt]=xr}this._retainLoadedChildren(ot,ee,Q,w);for(let Kt in Xe)w[Kt]||(this._coveredTiles[Kt]=!0,w[Kt]=Xe[Kt]);if(qe){let Kt={},xr={};for(let Ir of le)this._tiles[Ir.key].hasData()?Kt[Ir.key]=Ir:xr[Ir.key]=Ir;for(let Ir in xr){let ve=xr[Ir].children(this._source.maxzoom);this._tiles[ve[0].key]&&this._tiles[ve[1].key]&&this._tiles[ve[2].key]&&this._tiles[ve[3].key]&&(Kt[ve[0].key]=w[ve[0].key]=ve[0],Kt[ve[1].key]=w[ve[1].key]=ve[1],Kt[ve[2].key]=w[ve[2].key]=ve[2],Kt[ve[3].key]=w[ve[3].key]=ve[3],delete xr[Ir])}for(let Ir in xr){let ve=xr[Ir],be=this.findLoadedParent(ve,this._source.minzoom),De=this.findLoadedSibling(ve),Be=be||De||null;if(Be){Kt[Be.tileID.key]=w[Be.tileID.key]=Be.tileID;for(let et in Kt)Kt[et].isChildOf(Be.tileID)&&delete Kt[et]}}for(let Ir in this._tiles)Kt[Ir]||(this._coveredTiles[Ir]=!0)}}update(w,B){if(!this._sourceLoaded||this._paused)return;let Q;this.transform=w,this.terrain=B,this.updateCacheSize(w),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used||this.usedForTerrain?this._source.tileID?Q=w.getVisibleUnwrappedCoordinates(this._source.tileID).map(Yt=>new a.S(Yt.canonical.z,Yt.wrap,Yt.canonical.z,Yt.canonical.x,Yt.canonical.y)):(Q=w.coveringTiles({tileSize:this.usedForTerrain?this.tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:!this.usedForTerrain&&this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled,terrain:B}),this._source.hasTile&&(Q=Q.filter(Yt=>this._source.hasTile(Yt)))):Q=[];let ee=w.coveringZoomLevel(this._source),le=Math.max(ee-mt.maxOverzooming,this._source.minzoom),qe=Math.max(ee+mt.maxUnderzooming,this._source.minzoom);if(this.usedForTerrain){let Yt={};for(let Kt of Q)if(Kt.canonical.z>this._source.minzoom){let xr=Kt.scaledTo(Kt.canonical.z-1);Yt[xr.key]=xr;let Ir=Kt.scaledTo(Math.max(this._source.minzoom,Math.min(Kt.canonical.z,5)));Yt[Ir.key]=Ir}Q=Q.concat(Object.values(Yt))}let Xe=Q.length===0&&!this._updated&&this._didEmitContent;this._updated=!0,Xe&&this.fire(new a.k(\"data\",{sourceDataType:\"idle\",dataType:\"source\",sourceId:this.id}));let ot=this._updateRetainedTiles(Q,ee);lr(this._source.type)&&this._updateCoveredAndRetainedTiles(ot,le,qe,ee,Q,B);for(let Yt in ot)this._tiles[Yt].clearFadeHold();let Tt=a.ab(this._tiles,ot);for(let Yt of Tt){let Kt=this._tiles[Yt];Kt.hasSymbolBuckets&&!Kt.holdingForFade()?Kt.setHoldDuration(this.map._fadeDuration):Kt.hasSymbolBuckets&&!Kt.symbolFadeFinished()||this._removeTile(Yt)}this._updateLoadedParentTileCache(),this._updateLoadedSiblingTileCache()}releaseSymbolFadeTiles(){for(let w in this._tiles)this._tiles[w].holdingForFade()&&this._removeTile(w)}_updateRetainedTiles(w,B){var Q;let ee={},le={},qe=Math.max(B-mt.maxOverzooming,this._source.minzoom),Xe=Math.max(B+mt.maxUnderzooming,this._source.minzoom),ot={};for(let Tt of w){let Yt=this._addTile(Tt);ee[Tt.key]=Tt,Yt.hasData()||B<this._source.maxzoom&&(ot[Tt.key]=Tt)}this._retainLoadedChildren(ot,B,Xe,ee);for(let Tt of w){let Yt=this._tiles[Tt.key];if(Yt.hasData())continue;if(B+1>this._source.maxzoom){let xr=Tt.children(this._source.maxzoom)[0],Ir=this.getTile(xr);if(Ir&&Ir.hasData()){ee[xr.key]=xr;continue}}else{let xr=Tt.children(this._source.maxzoom);if(ee[xr[0].key]&&ee[xr[1].key]&&ee[xr[2].key]&&ee[xr[3].key])continue}let Kt=Yt.wasRequested();for(let xr=Tt.overscaledZ-1;xr>=qe;--xr){let Ir=Tt.scaledTo(xr);if(le[Ir.key])break;if(le[Ir.key]=!0,Yt=this.getTile(Ir),!Yt&&Kt&&(Yt=this._addTile(Ir)),Yt){let ve=Yt.hasData();if((ve||!(!((Q=this.map)===null||Q===void 0)&&Q.cancelPendingTileRequestsWhileZooming)||Kt)&&(ee[Ir.key]=Ir),Kt=Yt.wasRequested(),ve)break}}}return ee}_updateLoadedParentTileCache(){this._loadedParentTiles={};for(let w in this._tiles){let B=[],Q,ee=this._tiles[w].tileID;for(;ee.overscaledZ>0;){if(ee.key in this._loadedParentTiles){Q=this._loadedParentTiles[ee.key];break}B.push(ee.key);let le=ee.scaledTo(ee.overscaledZ-1);if(Q=this._getLoadedTile(le),Q)break;ee=le}for(let le of B)this._loadedParentTiles[le]=Q}}_updateLoadedSiblingTileCache(){this._loadedSiblingTiles={};for(let w in this._tiles){let B=this._tiles[w].tileID,Q=this._getLoadedTile(B);this._loadedSiblingTiles[B.key]=Q}}_addTile(w){let B=this._tiles[w.key];if(B)return B;B=this._cache.getAndRemove(w),B&&(this._setTileReloadTimer(w.key,B),B.tileID=w,this._state.initializeTileState(B,this.map?this.map.painter:null),this._cacheTimers[w.key]&&(clearTimeout(this._cacheTimers[w.key]),delete this._cacheTimers[w.key],this._setTileReloadTimer(w.key,B)));let Q=B;return B||(B=new Vt(w,this._source.tileSize*w.overscaleFactor()),this._loadTile(B,w.key,B.state)),B.uses++,this._tiles[w.key]=B,Q||this._source.fire(new a.k(\"dataloading\",{tile:B,coord:B.tileID,dataType:\"source\"})),B}_setTileReloadTimer(w,B){w in this._timers&&(clearTimeout(this._timers[w]),delete this._timers[w]);let Q=B.getExpiryTimeout();Q&&(this._timers[w]=setTimeout(()=>{this._reloadTile(w,\"expired\"),delete this._timers[w]},Q))}_removeTile(w){let B=this._tiles[w];B&&(B.uses--,delete this._tiles[w],this._timers[w]&&(clearTimeout(this._timers[w]),delete this._timers[w]),B.uses>0||(B.hasData()&&B.state!==\"reloading\"?this._cache.add(B.tileID,B,B.getExpiryTimeout()):(B.aborted=!0,this._abortTile(B),this._unloadTile(B))))}_dataHandler(w){let B=w.sourceDataType;w.dataType===\"source\"&&B===\"metadata\"&&(this._sourceLoaded=!0),this._sourceLoaded&&!this._paused&&w.dataType===\"source\"&&B===\"content\"&&(this.reload(),this.transform&&this.update(this.transform,this.terrain),this._didEmitContent=!0)}clearTiles(){this._shouldReloadOnResume=!1,this._paused=!1;for(let w in this._tiles)this._removeTile(w);this._cache.reset()}tilesIn(w,B,Q){let ee=[],le=this.transform;if(!le)return ee;let qe=Q?le.getCameraQueryGeometry(w):w,Xe=w.map(ve=>le.pointCoordinate(ve,this.terrain)),ot=qe.map(ve=>le.pointCoordinate(ve,this.terrain)),Tt=this.getIds(),Yt=1/0,Kt=1/0,xr=-1/0,Ir=-1/0;for(let ve of ot)Yt=Math.min(Yt,ve.x),Kt=Math.min(Kt,ve.y),xr=Math.max(xr,ve.x),Ir=Math.max(Ir,ve.y);for(let ve=0;ve<Tt.length;ve++){let be=this._tiles[Tt[ve]];if(be.holdingForFade())continue;let De=be.tileID,Be=Math.pow(2,le.zoom-be.tileID.overscaledZ),et=B*be.queryPadding*a.X/be.tileSize/Be,We=[De.getTilePoint(new a.Z(Yt,Kt)),De.getTilePoint(new a.Z(xr,Ir))];if(We[0].x-et<a.X&&We[0].y-et<a.X&&We[1].x+et>=0&&We[1].y+et>=0){let it=Xe.map(Ht=>De.getTilePoint(Ht)),Ft=ot.map(Ht=>De.getTilePoint(Ht));ee.push({tile:be,tileID:De,queryGeometry:it,cameraQueryGeometry:Ft,scale:Be})}}return ee}getVisibleCoordinates(w){let B=this.getRenderableIds(w).map(Q=>this._tiles[Q].tileID);for(let Q of B)Q.posMatrix=this.transform.calculatePosMatrix(Q.toUnwrapped());return B}hasTransition(){if(this._source.hasTransition())return!0;if(lr(this._source.type)){let w=u.now();for(let B in this._tiles)if(this._tiles[B].fadeEndTime>=w)return!0}return!1}setFeatureState(w,B,Q){this._state.updateState(w=w||\"_geojsonTileLayer\",B,Q)}removeFeatureState(w,B,Q){this._state.removeFeatureState(w=w||\"_geojsonTileLayer\",B,Q)}getFeatureState(w,B){return this._state.getState(w=w||\"_geojsonTileLayer\",B)}setDependencies(w,B,Q){let ee=this._tiles[w];ee&&ee.setDependencies(B,Q)}reloadTilesForDependencies(w,B){for(let Q in this._tiles)this._tiles[Q].hasDependency(w,B)&&this._reloadTile(Q,\"reloading\");this._cache.filter(Q=>!Q.hasDependency(w,B))}}function er(ue,w){let B=Math.abs(2*ue.wrap)-+(ue.wrap<0),Q=Math.abs(2*w.wrap)-+(w.wrap<0);return ue.overscaledZ-w.overscaledZ||Q-B||w.canonical.y-ue.canonical.y||w.canonical.x-ue.canonical.x}function lr(ue){return ue===\"raster\"||ue===\"image\"||ue===\"video\"}mt.maxOverzooming=10,mt.maxUnderzooming=3;class Tr{constructor(w,B){this.reset(w,B)}reset(w,B){this.points=w||[],this._distances=[0];for(let Q=1;Q<this.points.length;Q++)this._distances[Q]=this._distances[Q-1]+this.points[Q].dist(this.points[Q-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(B||0,.5*this.length),this.paddedLength=this.length-2*this.padding}lerp(w){if(this.points.length===1)return this.points[0];w=a.ac(w,0,1);let B=1,Q=this._distances[B],ee=w*this.paddedLength+this.padding;for(;Q<ee&&B<this._distances.length;)Q=this._distances[++B];let le=B-1,qe=this._distances[le],Xe=Q-qe,ot=Xe>0?(ee-qe)/Xe:0;return this.points[le].mult(1-ot).add(this.points[B].mult(ot))}}function Lr(ue,w){let B=!0;return ue===\"always\"||ue!==\"never\"&&w!==\"never\"||(B=!1),B}class ti{constructor(w,B,Q){let ee=this.boxCells=[],le=this.circleCells=[];this.xCellCount=Math.ceil(w/Q),this.yCellCount=Math.ceil(B/Q);for(let qe=0;qe<this.xCellCount*this.yCellCount;qe++)ee.push([]),le.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=w,this.height=B,this.xScale=this.xCellCount/w,this.yScale=this.yCellCount/B,this.boxUid=0,this.circleUid=0}keysLength(){return this.boxKeys.length+this.circleKeys.length}insert(w,B,Q,ee,le){this._forEachCell(B,Q,ee,le,this._insertBoxCell,this.boxUid++),this.boxKeys.push(w),this.bboxes.push(B),this.bboxes.push(Q),this.bboxes.push(ee),this.bboxes.push(le)}insertCircle(w,B,Q,ee){this._forEachCell(B-ee,Q-ee,B+ee,Q+ee,this._insertCircleCell,this.circleUid++),this.circleKeys.push(w),this.circles.push(B),this.circles.push(Q),this.circles.push(ee)}_insertBoxCell(w,B,Q,ee,le,qe){this.boxCells[le].push(qe)}_insertCircleCell(w,B,Q,ee,le,qe){this.circleCells[le].push(qe)}_query(w,B,Q,ee,le,qe,Xe){if(Q<0||w>this.width||ee<0||B>this.height)return[];let ot=[];if(w<=0&&B<=0&&this.width<=Q&&this.height<=ee){if(le)return[{key:null,x1:w,y1:B,x2:Q,y2:ee}];for(let Tt=0;Tt<this.boxKeys.length;Tt++)ot.push({key:this.boxKeys[Tt],x1:this.bboxes[4*Tt],y1:this.bboxes[4*Tt+1],x2:this.bboxes[4*Tt+2],y2:this.bboxes[4*Tt+3]});for(let Tt=0;Tt<this.circleKeys.length;Tt++){let Yt=this.circles[3*Tt],Kt=this.circles[3*Tt+1],xr=this.circles[3*Tt+2];ot.push({key:this.circleKeys[Tt],x1:Yt-xr,y1:Kt-xr,x2:Yt+xr,y2:Kt+xr})}}else this._forEachCell(w,B,Q,ee,this._queryCell,ot,{hitTest:le,overlapMode:qe,seenUids:{box:{},circle:{}}},Xe);return ot}query(w,B,Q,ee){return this._query(w,B,Q,ee,!1,null)}hitTest(w,B,Q,ee,le,qe){return this._query(w,B,Q,ee,!0,le,qe).length>0}hitTestCircle(w,B,Q,ee,le){let qe=w-Q,Xe=w+Q,ot=B-Q,Tt=B+Q;if(Xe<0||qe>this.width||Tt<0||ot>this.height)return!1;let Yt=[];return this._forEachCell(qe,ot,Xe,Tt,this._queryCellCircle,Yt,{hitTest:!0,overlapMode:ee,circle:{x:w,y:B,radius:Q},seenUids:{box:{},circle:{}}},le),Yt.length>0}_queryCell(w,B,Q,ee,le,qe,Xe,ot){let{seenUids:Tt,hitTest:Yt,overlapMode:Kt}=Xe,xr=this.boxCells[le];if(xr!==null){let ve=this.bboxes;for(let be of xr)if(!Tt.box[be]){Tt.box[be]=!0;let De=4*be,Be=this.boxKeys[be];if(w<=ve[De+2]&&B<=ve[De+3]&&Q>=ve[De+0]&&ee>=ve[De+1]&&(!ot||ot(Be))&&(!Yt||!Lr(Kt,Be.overlapMode))&&(qe.push({key:Be,x1:ve[De],y1:ve[De+1],x2:ve[De+2],y2:ve[De+3]}),Yt))return!0}}let Ir=this.circleCells[le];if(Ir!==null){let ve=this.circles;for(let be of Ir)if(!Tt.circle[be]){Tt.circle[be]=!0;let De=3*be,Be=this.circleKeys[be];if(this._circleAndRectCollide(ve[De],ve[De+1],ve[De+2],w,B,Q,ee)&&(!ot||ot(Be))&&(!Yt||!Lr(Kt,Be.overlapMode))){let et=ve[De],We=ve[De+1],it=ve[De+2];if(qe.push({key:Be,x1:et-it,y1:We-it,x2:et+it,y2:We+it}),Yt)return!0}}}return!1}_queryCellCircle(w,B,Q,ee,le,qe,Xe,ot){let{circle:Tt,seenUids:Yt,overlapMode:Kt}=Xe,xr=this.boxCells[le];if(xr!==null){let ve=this.bboxes;for(let be of xr)if(!Yt.box[be]){Yt.box[be]=!0;let De=4*be,Be=this.boxKeys[be];if(this._circleAndRectCollide(Tt.x,Tt.y,Tt.radius,ve[De+0],ve[De+1],ve[De+2],ve[De+3])&&(!ot||ot(Be))&&!Lr(Kt,Be.overlapMode))return qe.push(!0),!0}}let Ir=this.circleCells[le];if(Ir!==null){let ve=this.circles;for(let be of Ir)if(!Yt.circle[be]){Yt.circle[be]=!0;let De=3*be,Be=this.circleKeys[be];if(this._circlesCollide(ve[De],ve[De+1],ve[De+2],Tt.x,Tt.y,Tt.radius)&&(!ot||ot(Be))&&!Lr(Kt,Be.overlapMode))return qe.push(!0),!0}}}_forEachCell(w,B,Q,ee,le,qe,Xe,ot){let Tt=this._convertToXCellCoord(w),Yt=this._convertToYCellCoord(B),Kt=this._convertToXCellCoord(Q),xr=this._convertToYCellCoord(ee);for(let Ir=Tt;Ir<=Kt;Ir++)for(let ve=Yt;ve<=xr;ve++)if(le.call(this,w,B,Q,ee,this.xCellCount*ve+Ir,qe,Xe,ot))return}_convertToXCellCoord(w){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(w*this.xScale)))}_convertToYCellCoord(w){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(w*this.yScale)))}_circlesCollide(w,B,Q,ee,le,qe){let Xe=ee-w,ot=le-B,Tt=Q+qe;return Tt*Tt>Xe*Xe+ot*ot}_circleAndRectCollide(w,B,Q,ee,le,qe,Xe){let ot=(qe-ee)/2,Tt=Math.abs(w-(ee+ot));if(Tt>ot+Q)return!1;let Yt=(Xe-le)/2,Kt=Math.abs(B-(le+Yt));if(Kt>Yt+Q)return!1;if(Tt<=ot||Kt<=Yt)return!0;let xr=Tt-ot,Ir=Kt-Yt;return xr*xr+Ir*Ir<=Q*Q}}function Br(ue,w,B,Q,ee){let le=a.H();return w?(a.K(le,le,[1/ee,1/ee,1]),B||a.ad(le,le,Q.angle)):a.L(le,Q.labelPlaneMatrix,ue),le}function Vr(ue,w,B,Q,ee){if(w){let le=a.ae(ue);return a.K(le,le,[ee,ee,1]),B||a.ad(le,le,-Q.angle),le}return Q.glCoordMatrix}function dt(ue,w,B,Q){let ee;Q?(ee=[ue,w,Q(ue,w),1],a.af(ee,ee,B)):(ee=[ue,w,0,1],$r(ee,ee,B));let le=ee[3];return{point:new a.P(ee[0]/le,ee[1]/le),signedDistanceFromCamera:le,isOccluded:!1}}function Ge(ue,w){return .5+ue/w*.5}function Je(ue,w){return ue.x>=-w[0]&&ue.x<=w[0]&&ue.y>=-w[1]&&ue.y<=w[1]}function je(ue,w,B,Q,ee,le,qe,Xe,ot,Tt,Yt,Kt,xr,Ir,ve){let be=Q?ue.textSizeData:ue.iconSizeData,De=a.ag(be,B.transform.zoom),Be=[256/B.width*2+1,256/B.height*2+1],et=Q?ue.text.dynamicLayoutVertexArray:ue.icon.dynamicLayoutVertexArray;et.clear();let We=ue.lineVertexArray,it=Q?ue.text.placedSymbolArray:ue.icon.placedSymbolArray,Ft=B.transform.width/B.transform.height,Ht=!1;for(let tr=0;tr<it.length;tr++){let dr=it.get(tr);if(dr.hidden||dr.writingMode===a.ah.vertical&&!Ht){pi(dr.numGlyphs,et);continue}Ht=!1;let Sr=dt(dr.anchorX,dr.anchorY,w,ve);if(!Je(Sr.point,Be)){pi(dr.numGlyphs,et);continue}let Or=Ge(B.transform.cameraToCenterDistance,Sr.signedDistanceFromCamera),Wr=a.ai(be,De,dr),ni=qe?Wr/Or:Wr*Or,Pi={getElevation:ve,labelPlaneMatrix:ee,lineVertexArray:We,pitchWithMap:qe,projectionCache:{projections:{},offsets:{},cachedAnchorPoint:void 0,anyProjectionOccluded:!1},projection:Tt,tileAnchorPoint:new a.P(dr.anchorX,dr.anchorY),unwrappedTileID:Yt,width:Kt,height:xr,translation:Ir},cn=Ie(Pi,dr,ni,!1,Xe,w,le,ue.glyphOffsetArray,et,Ft,ot);Ht=cn.useVertical,(cn.notEnoughRoom||Ht||cn.needsFlipping&&Ie(Pi,dr,ni,!0,Xe,w,le,ue.glyphOffsetArray,et,Ft,ot).notEnoughRoom)&&pi(dr.numGlyphs,et)}Q?ue.text.dynamicLayoutVertexBuffer.updateData(et):ue.icon.dynamicLayoutVertexBuffer.updateData(et)}function tt(ue,w,B,Q,ee,le,qe,Xe){let ot=le.glyphStartIndex+le.numGlyphs,Tt=le.lineStartIndex,Yt=le.lineStartIndex+le.lineLength,Kt=w.getoffsetX(le.glyphStartIndex),xr=w.getoffsetX(ot-1),Ir=vr(ue*Kt,B,Q,ee,le.segment,Tt,Yt,Xe,qe);if(!Ir)return null;let ve=vr(ue*xr,B,Q,ee,le.segment,Tt,Yt,Xe,qe);return ve?Xe.projectionCache.anyProjectionOccluded?null:{first:Ir,last:ve}:null}function xt(ue,w,B,Q){return ue===a.ah.horizontal&&Math.abs(B.y-w.y)>Math.abs(B.x-w.x)*Q?{useVertical:!0}:(ue===a.ah.vertical?w.y<B.y:w.x>B.x)?{needsFlipping:!0}:null}function Ie(ue,w,B,Q,ee,le,qe,Xe,ot,Tt,Yt){let Kt=B/24,xr=w.lineOffsetX*Kt,Ir=w.lineOffsetY*Kt,ve;if(w.numGlyphs>1){let be=w.glyphStartIndex+w.numGlyphs,De=w.lineStartIndex,Be=w.lineStartIndex+w.lineLength,et=tt(Kt,Xe,xr,Ir,Q,w,Yt,ue);if(!et)return{notEnoughRoom:!0};let We=dt(et.first.point.x,et.first.point.y,qe,ue.getElevation).point,it=dt(et.last.point.x,et.last.point.y,qe,ue.getElevation).point;if(ee&&!Q){let Ft=xt(w.writingMode,We,it,Tt);if(Ft)return Ft}ve=[et.first];for(let Ft=w.glyphStartIndex+1;Ft<be-1;Ft++)ve.push(vr(Kt*Xe.getoffsetX(Ft),xr,Ir,Q,w.segment,De,Be,ue,Yt));ve.push(et.last)}else{if(ee&&!Q){let De=dt(ue.tileAnchorPoint.x,ue.tileAnchorPoint.y,le,ue.getElevation).point,Be=w.lineStartIndex+w.segment+1,et=new a.P(ue.lineVertexArray.getx(Be),ue.lineVertexArray.gety(Be)),We=dt(et.x,et.y,le,ue.getElevation),it=We.signedDistanceFromCamera>0?We.point:function(Ht,tr,dr,Sr,Or,Wr){return xe(Ht,tr,dr,1,Or,Wr)}(ue.tileAnchorPoint,et,De,0,le,ue),Ft=xt(w.writingMode,De,it,Tt);if(Ft)return Ft}let be=vr(Kt*Xe.getoffsetX(w.glyphStartIndex),xr,Ir,Q,w.segment,w.lineStartIndex,w.lineStartIndex+w.lineLength,ue,Yt);if(!be||ue.projectionCache.anyProjectionOccluded)return{notEnoughRoom:!0};ve=[be]}for(let be of ve)a.aj(ot,be.point,be.angle);return{}}function xe(ue,w,B,Q,ee,le){let qe=ue.add(ue.sub(w)._unit()),Xe=ee!==void 0?dt(qe.x,qe.y,ee,le.getElevation).point:vt(qe.x,qe.y,le).point,ot=B.sub(Xe);return B.add(ot._mult(Q/ot.mag()))}function ke(ue,w,B){let Q=w.projectionCache;if(Q.projections[ue])return Q.projections[ue];let ee=new a.P(w.lineVertexArray.getx(ue),w.lineVertexArray.gety(ue)),le=vt(ee.x,ee.y,w);if(le.signedDistanceFromCamera>0)return Q.projections[ue]=le.point,Q.anyProjectionOccluded=Q.anyProjectionOccluded||le.isOccluded,le.point;let qe=ue-B.direction;return function(Xe,ot,Tt,Yt,Kt){return xe(Xe,ot,Tt,Yt,void 0,Kt)}(B.distanceFromAnchor===0?w.tileAnchorPoint:new a.P(w.lineVertexArray.getx(qe),w.lineVertexArray.gety(qe)),ee,B.previousVertex,B.absOffsetX-B.distanceFromAnchor+1,w)}function vt(ue,w,B){let Q=ue+B.translation[0],ee=w+B.translation[1],le;return!B.pitchWithMap&&B.projection.useSpecialProjectionForSymbols?(le=B.projection.projectTileCoordinates(Q,ee,B.unwrappedTileID,B.getElevation),le.point.x=(.5*le.point.x+.5)*B.width,le.point.y=(.5*-le.point.y+.5)*B.height):(le=dt(Q,ee,B.labelPlaneMatrix,B.getElevation),le.isOccluded=!1),le}function ir(ue,w,B){return ue._unit()._perp()._mult(w*B)}function ar(ue,w,B,Q,ee,le,qe,Xe,ot){if(Xe.projectionCache.offsets[ue])return Xe.projectionCache.offsets[ue];let Tt=B.add(w);if(ue+ot.direction<Q||ue+ot.direction>=ee)return Xe.projectionCache.offsets[ue]=Tt,Tt;let Yt=ke(ue+ot.direction,Xe,ot),Kt=ir(Yt.sub(B),qe,ot.direction),xr=B.add(Kt),Ir=Yt.add(Kt);return Xe.projectionCache.offsets[ue]=a.ak(le,Tt,xr,Ir)||Tt,Xe.projectionCache.offsets[ue]}function vr(ue,w,B,Q,ee,le,qe,Xe,ot){let Tt=Q?ue-w:ue+w,Yt=Tt>0?1:-1,Kt=0;Q&&(Yt*=-1,Kt=Math.PI),Yt<0&&(Kt+=Math.PI);let xr,Ir=Yt>0?le+ee:le+ee+1;Xe.projectionCache.cachedAnchorPoint?xr=Xe.projectionCache.cachedAnchorPoint:(xr=vt(Xe.tileAnchorPoint.x,Xe.tileAnchorPoint.y,Xe).point,Xe.projectionCache.cachedAnchorPoint=xr);let ve,be,De=xr,Be=xr,et=0,We=0,it=Math.abs(Tt),Ft=[],Ht;for(;et+We<=it;){if(Ir+=Yt,Ir<le||Ir>=qe)return null;et+=We,Be=De,be=ve;let Sr={absOffsetX:it,direction:Yt,distanceFromAnchor:et,previousVertex:Be};if(De=ke(Ir,Xe,Sr),B===0)Ft.push(Be),Ht=De.sub(Be);else{let Or,Wr=De.sub(Be);Or=Wr.mag()===0?ir(ke(Ir+Yt,Xe,Sr).sub(De),B,Yt):ir(Wr,B,Yt),be||(be=Be.add(Or)),ve=ar(Ir,Or,De,le,qe,be,B,Xe,Sr),Ft.push(be),Ht=ve.sub(be)}We=Ht.mag()}let tr=Ht._mult((it-et)/We)._add(be||Be),dr=Kt+Math.atan2(De.y-Be.y,De.x-Be.x);return Ft.push(tr),{point:tr,angle:ot?dr:0,path:Ft}}let ii=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function pi(ue,w){for(let B=0;B<ue;B++){let Q=w.length;w.resize(Q+4),w.float32.set(ii,3*Q)}}function $r(ue,w,B){let Q=w[0],ee=w[1];return ue[0]=B[0]*Q+B[4]*ee+B[12],ue[1]=B[1]*Q+B[5]*ee+B[13],ue[3]=B[3]*Q+B[7]*ee+B[15],ue}let di=100;class ji{constructor(w,B,Q=new ti(w.width+200,w.height+200,25),ee=new ti(w.width+200,w.height+200,25)){this.transform=w,this.mapProjection=B,this.grid=Q,this.ignoredGrid=ee,this.pitchFactor=Math.cos(w._pitch)*w.cameraToCenterDistance,this.screenRightBoundary=w.width+di,this.screenBottomBoundary=w.height+di,this.gridRightBoundary=w.width+200,this.gridBottomBoundary=w.height+200,this.perspectiveRatioCutoff=.6}placeCollisionBox(w,B,Q,ee,le,qe,Xe,ot,Tt,Yt,Kt){let xr=w.anchorPointX+ot[0],Ir=w.anchorPointY+ot[1],ve=this.projectAndGetPerspectiveRatio(ee,xr,Ir,le,Yt),be=Q*ve.perspectiveRatio,De;if(qe||Xe)De=this._projectCollisionBox(w,be,ee,le,qe,Xe,ot,ve,Yt,Kt);else{let Ft=ve.point.x+(Kt?Kt.x*be:0),Ht=ve.point.y+(Kt?Kt.y*be:0);De={allPointsOccluded:!1,box:[Ft+w.x1*be,Ht+w.y1*be,Ft+w.x2*be,Ht+w.y2*be]}}let[Be,et,We,it]=De.box;return this.mapProjection.useSpecialProjectionForSymbols&&(qe?De.allPointsOccluded:this.mapProjection.isOccluded(xr,Ir,le))||ve.perspectiveRatio<this.perspectiveRatioCutoff||!this.isInsideGrid(Be,et,We,it)||B!==\"always\"&&this.grid.hitTest(Be,et,We,it,B,Tt)?{box:[Be,et,We,it],placeable:!1,offscreen:!1}:{box:[Be,et,We,it],placeable:!0,offscreen:this.isOffscreen(Be,et,We,it)}}placeCollisionCircles(w,B,Q,ee,le,qe,Xe,ot,Tt,Yt,Kt,xr,Ir,ve,be,De){let Be=[],et=new a.P(B.anchorX,B.anchorY),We=this.getPerspectiveRatio(qe,et.x,et.y,Xe,De),it=(Kt?le/We:le*We)/a.ap,Ft={getElevation:De,labelPlaneMatrix:ot,lineVertexArray:Q,pitchWithMap:Kt,projectionCache:{projections:{},offsets:{},cachedAnchorPoint:void 0,anyProjectionOccluded:!1},projection:this.mapProjection,tileAnchorPoint:et,unwrappedTileID:Xe,width:this.transform.width,height:this.transform.height,translation:be},Ht=tt(it,ee,B.lineOffsetX*it,B.lineOffsetY*it,!1,B,!1,Ft),tr=!1,dr=!1,Sr=!0;if(Ht){let Or=.5*Ir*We+ve,Wr=new a.P(-100,-100),ni=new a.P(this.screenRightBoundary,this.screenBottomBoundary),Pi=new Tr,cn=Ht.first,ln=Ht.last,Cn=[];for(let fa=cn.path.length-1;fa>=1;fa--)Cn.push(cn.path[fa]);for(let fa=1;fa<ln.path.length;fa++)Cn.push(ln.path[fa]);let Kn=2.5*Or;if(Tt){let fa=this.projectPathToScreenSpace(Cn,Ft,Tt);Cn=fa.some($a=>$a.signedDistanceFromCamera<=0)?[]:fa.map($a=>$a.point)}let Ta=[];if(Cn.length>0){let fa=Cn[0].clone(),$a=Cn[0].clone();for(let Co=1;Co<Cn.length;Co++)fa.x=Math.min(fa.x,Cn[Co].x),fa.y=Math.min(fa.y,Cn[Co].y),$a.x=Math.max($a.x,Cn[Co].x),$a.y=Math.max($a.y,Cn[Co].y);Ta=fa.x>=Wr.x&&$a.x<=ni.x&&fa.y>=Wr.y&&$a.y<=ni.y?[Cn]:$a.x<Wr.x||fa.x>ni.x||$a.y<Wr.y||fa.y>ni.y?[]:a.al([Cn],Wr.x,Wr.y,ni.x,ni.y)}for(let fa of Ta){Pi.reset(fa,.25*Or);let $a=0;$a=Pi.length<=.5*Or?1:Math.ceil(Pi.paddedLength/Kn)+1;for(let Co=0;Co<$a;Co++){let Qa=Co/Math.max($a-1,1),mo=Pi.lerp(Qa),Bo=mo.x+di,Ps=mo.y+di;Be.push(Bo,Ps,Or,0);let Ts=Bo-Or,wo=Ps-Or,To=Bo+Or,hl=Ps+Or;if(Sr=Sr&&this.isOffscreen(Ts,wo,To,hl),dr=dr||this.isInsideGrid(Ts,wo,To,hl),w!==\"always\"&&this.grid.hitTestCircle(Bo,Ps,Or,w,xr)&&(tr=!0,!Yt))return{circles:[],offscreen:!1,collisionDetected:tr}}}}return{circles:!Yt&&tr||!dr||We<this.perspectiveRatioCutoff?[]:Be,offscreen:Sr,collisionDetected:tr}}projectPathToScreenSpace(w,B,Q){return w.map(ee=>dt(ee.x,ee.y,Q,B.getElevation))}queryRenderedSymbols(w){if(w.length===0||this.grid.keysLength()===0&&this.ignoredGrid.keysLength()===0)return{};let B=[],Q=1/0,ee=1/0,le=-1/0,qe=-1/0;for(let Yt of w){let Kt=new a.P(Yt.x+di,Yt.y+di);Q=Math.min(Q,Kt.x),ee=Math.min(ee,Kt.y),le=Math.max(le,Kt.x),qe=Math.max(qe,Kt.y),B.push(Kt)}let Xe=this.grid.query(Q,ee,le,qe).concat(this.ignoredGrid.query(Q,ee,le,qe)),ot={},Tt={};for(let Yt of Xe){let Kt=Yt.key;if(ot[Kt.bucketInstanceId]===void 0&&(ot[Kt.bucketInstanceId]={}),ot[Kt.bucketInstanceId][Kt.featureIndex])continue;let xr=[new a.P(Yt.x1,Yt.y1),new a.P(Yt.x2,Yt.y1),new a.P(Yt.x2,Yt.y2),new a.P(Yt.x1,Yt.y2)];a.am(B,xr)&&(ot[Kt.bucketInstanceId][Kt.featureIndex]=!0,Tt[Kt.bucketInstanceId]===void 0&&(Tt[Kt.bucketInstanceId]=[]),Tt[Kt.bucketInstanceId].push(Kt.featureIndex))}return Tt}insertCollisionBox(w,B,Q,ee,le,qe){(Q?this.ignoredGrid:this.grid).insert({bucketInstanceId:ee,featureIndex:le,collisionGroupID:qe,overlapMode:B},w[0],w[1],w[2],w[3])}insertCollisionCircles(w,B,Q,ee,le,qe){let Xe=Q?this.ignoredGrid:this.grid,ot={bucketInstanceId:ee,featureIndex:le,collisionGroupID:qe,overlapMode:B};for(let Tt=0;Tt<w.length;Tt+=4)Xe.insertCircle(ot,w[Tt],w[Tt+1],w[Tt+2])}projectAndGetPerspectiveRatio(w,B,Q,ee,le){let qe;le?(qe=[B,Q,le(B,Q),1],a.af(qe,qe,w)):(qe=[B,Q,0,1],$r(qe,qe,w));let Xe=qe[3];return{point:new a.P((qe[0]/Xe+1)/2*this.transform.width+di,(-qe[1]/Xe+1)/2*this.transform.height+di),perspectiveRatio:.5+this.transform.cameraToCenterDistance/Xe*.5,isOccluded:!1,signedDistanceFromCamera:Xe}}getPerspectiveRatio(w,B,Q,ee,le){let qe=this.mapProjection.useSpecialProjectionForSymbols?this.mapProjection.projectTileCoordinates(B,Q,ee,le):dt(B,Q,w,le);return .5+this.transform.cameraToCenterDistance/qe.signedDistanceFromCamera*.5}isOffscreen(w,B,Q,ee){return Q<di||w>=this.screenRightBoundary||ee<di||B>this.screenBottomBoundary}isInsideGrid(w,B,Q,ee){return Q>=0&&w<this.gridRightBoundary&&ee>=0&&B<this.gridBottomBoundary}getViewportMatrix(){let w=a.an([]);return a.J(w,w,[-100,-100,0]),w}_projectCollisionBox(w,B,Q,ee,le,qe,Xe,ot,Tt,Yt){let Kt=new a.P(1,0),xr=new a.P(0,1),Ir=new a.P(w.anchorPointX+Xe[0],w.anchorPointY+Xe[1]);if(qe&&!le){let Sr=this.projectAndGetPerspectiveRatio(Q,Ir.x+1,Ir.y,ee,Tt).point.sub(ot.point).unit(),Or=Math.atan(Sr.y/Sr.x)+(Sr.x<0?Math.PI:0),Wr=Math.sin(Or),ni=Math.cos(Or);Kt=new a.P(ni,Wr),xr=new a.P(-Wr,ni)}else if(!qe&&le){let Sr=-this.transform.angle,Or=Math.sin(Sr),Wr=Math.cos(Sr);Kt=new a.P(Wr,Or),xr=new a.P(-Or,Wr)}let ve=ot.point,be=B;if(le){ve=Ir;let Sr=this.transform.zoom-Math.floor(this.transform.zoom);be=Math.pow(2,-Sr),be*=this.mapProjection.getPitchedTextCorrection(this.transform,Ir,ee),Yt||(be*=a.ac(.5+ot.signedDistanceFromCamera/this.transform.cameraToCenterDistance*.5,0,4))}Yt&&(ve=ve.add(Kt.mult(Yt.x*be)).add(xr.mult(Yt.y*be)));let De=w.x1*be,Be=w.x2*be,et=(De+Be)/2,We=w.y1*be,it=w.y2*be,Ft=(We+it)/2,Ht=[{offsetX:De,offsetY:We},{offsetX:et,offsetY:We},{offsetX:Be,offsetY:We},{offsetX:Be,offsetY:Ft},{offsetX:Be,offsetY:it},{offsetX:et,offsetY:it},{offsetX:De,offsetY:it},{offsetX:De,offsetY:Ft}],tr=[];for(let{offsetX:Sr,offsetY:Or}of Ht)tr.push(new a.P(ve.x+Kt.x*Sr+xr.x*Or,ve.y+Kt.y*Sr+xr.y*Or));let dr=!1;if(le){let Sr=tr.map(Or=>this.projectAndGetPerspectiveRatio(Q,Or.x,Or.y,ee,Tt));dr=Sr.some(Or=>!Or.isOccluded),tr=Sr.map(Or=>Or.point)}else dr=!0;return{box:a.ao(tr),allPointsOccluded:!dr}}}function In(ue,w,B){return w*(a.X/(ue.tileSize*Math.pow(2,B-ue.tileID.overscaledZ)))}class wi{constructor(w,B,Q,ee){this.opacity=w?Math.max(0,Math.min(1,w.opacity+(w.placed?B:-B))):ee&&Q?1:0,this.placed=Q}isHidden(){return this.opacity===0&&!this.placed}}class On{constructor(w,B,Q,ee,le){this.text=new wi(w?w.text:null,B,Q,le),this.icon=new wi(w?w.icon:null,B,ee,le)}isHidden(){return this.text.isHidden()&&this.icon.isHidden()}}class qn{constructor(w,B,Q){this.text=w,this.icon=B,this.skipFade=Q}}class Fn{constructor(){this.invProjMatrix=a.H(),this.viewportMatrix=a.H(),this.circles=[]}}class ra{constructor(w,B,Q,ee,le){this.bucketInstanceId=w,this.featureIndex=B,this.sourceLayerIndex=Q,this.bucketIndex=ee,this.tileID=le}}class la{constructor(w){this.crossSourceCollisions=w,this.maxGroupID=0,this.collisionGroups={}}get(w){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[w]){let B=++this.maxGroupID;this.collisionGroups[w]={ID:B,predicate:Q=>Q.collisionGroupID===B}}return this.collisionGroups[w]}}function Ut(ue,w,B,Q,ee){let{horizontalAlign:le,verticalAlign:qe}=a.au(ue);return new a.P(-(le-.5)*w+Q[0]*ee,-(qe-.5)*B+Q[1]*ee)}class wt{constructor(w,B,Q,ee,le,qe){this.transform=w.clone(),this.terrain=Q,this.collisionIndex=new ji(this.transform,B),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=ee,this.retainedQueryData={},this.collisionGroups=new la(le),this.collisionCircleArrays={},this.collisionBoxArrays=new Map,this.prevPlacement=qe,qe&&(qe.prevPlacement=void 0),this.placedOrientations={}}_getTerrainElevationFunc(w){let B=this.terrain;return B?(Q,ee)=>B.getElevation(w,Q,ee):null}getBucketParts(w,B,Q,ee){let le=Q.getBucket(B),qe=Q.latestFeatureIndex;if(!le||!qe||B.id!==le.layerIds[0])return;let Xe=Q.collisionBoxArray,ot=le.layers[0].layout,Tt=le.layers[0].paint,Yt=Math.pow(2,this.transform.zoom-Q.tileID.overscaledZ),Kt=Q.tileSize/a.X,xr=Q.tileID.toUnwrapped(),Ir=this.transform.calculatePosMatrix(xr),ve=ot.get(\"text-pitch-alignment\")===\"map\",be=ot.get(\"text-rotation-alignment\")===\"map\",De=In(Q,1,this.transform.zoom),Be=this.collisionIndex.mapProjection.translatePosition(this.transform,Q,Tt.get(\"text-translate\"),Tt.get(\"text-translate-anchor\")),et=this.collisionIndex.mapProjection.translatePosition(this.transform,Q,Tt.get(\"icon-translate\"),Tt.get(\"icon-translate-anchor\")),We=Br(Ir,ve,be,this.transform,De),it=null;if(ve){let Ht=Vr(Ir,ve,be,this.transform,De);it=a.L([],this.transform.labelPlaneMatrix,Ht)}this.retainedQueryData[le.bucketInstanceId]=new ra(le.bucketInstanceId,qe,le.sourceLayerIndex,le.index,Q.tileID);let Ft={bucket:le,layout:ot,translationText:Be,translationIcon:et,posMatrix:Ir,unwrappedTileID:xr,textLabelPlaneMatrix:We,labelToScreenMatrix:it,scale:Yt,textPixelRatio:Kt,holdingForFade:Q.holdingForFade(),collisionBoxArray:Xe,partiallyEvaluatedTextSize:a.ag(le.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(le.sourceID)};if(ee)for(let Ht of le.sortKeyRanges){let{sortKey:tr,symbolInstanceStart:dr,symbolInstanceEnd:Sr}=Ht;w.push({sortKey:tr,symbolInstanceStart:dr,symbolInstanceEnd:Sr,parameters:Ft})}else w.push({symbolInstanceStart:0,symbolInstanceEnd:le.symbolInstances.length,parameters:Ft})}attemptAnchorPlacement(w,B,Q,ee,le,qe,Xe,ot,Tt,Yt,Kt,xr,Ir,ve,be,De,Be,et,We){let it=a.aq[w.textAnchor],Ft=[w.textOffset0,w.textOffset1],Ht=Ut(it,Q,ee,Ft,le),tr=this.collisionIndex.placeCollisionBox(B,xr,ot,Tt,Yt,Xe,qe,De,Kt.predicate,We,Ht);if((!et||this.collisionIndex.placeCollisionBox(et,xr,ot,Tt,Yt,Xe,qe,Be,Kt.predicate,We,Ht).placeable)&&tr.placeable){let dr;if(this.prevPlacement&&this.prevPlacement.variableOffsets[Ir.crossTileID]&&this.prevPlacement.placements[Ir.crossTileID]&&this.prevPlacement.placements[Ir.crossTileID].text&&(dr=this.prevPlacement.variableOffsets[Ir.crossTileID].anchor),Ir.crossTileID===0)throw new Error(\"symbolInstance.crossTileID can't be 0\");return this.variableOffsets[Ir.crossTileID]={textOffset:Ft,width:Q,height:ee,anchor:it,textBoxScale:le,prevAnchor:dr},this.markUsedJustification(ve,it,Ir,be),ve.allowVerticalPlacement&&(this.markUsedOrientation(ve,be,Ir),this.placedOrientations[Ir.crossTileID]=be),{shift:Ht,placedGlyphBoxes:tr}}}placeLayerBucketPart(w,B,Q){let{bucket:ee,layout:le,translationText:qe,translationIcon:Xe,posMatrix:ot,unwrappedTileID:Tt,textLabelPlaneMatrix:Yt,labelToScreenMatrix:Kt,textPixelRatio:xr,holdingForFade:Ir,collisionBoxArray:ve,partiallyEvaluatedTextSize:be,collisionGroup:De}=w.parameters,Be=le.get(\"text-optional\"),et=le.get(\"icon-optional\"),We=a.ar(le,\"text-overlap\",\"text-allow-overlap\"),it=We===\"always\",Ft=a.ar(le,\"icon-overlap\",\"icon-allow-overlap\"),Ht=Ft===\"always\",tr=le.get(\"text-rotation-alignment\")===\"map\",dr=le.get(\"text-pitch-alignment\")===\"map\",Sr=le.get(\"icon-text-fit\")!==\"none\",Or=le.get(\"symbol-z-order\")===\"viewport-y\",Wr=it&&(Ht||!ee.hasIconData()||et),ni=Ht&&(it||!ee.hasTextData()||Be);!ee.collisionArrays&&ve&&ee.deserializeCollisionBoxes(ve);let Pi=this._getTerrainElevationFunc(this.retainedQueryData[ee.bucketInstanceId].tileID),cn=(ln,Cn,Kn)=>{var Ta,fa;if(B[ln.crossTileID])return;if(Ir)return void(this.placements[ln.crossTileID]=new qn(!1,!1,!1));let $a=!1,Co=!1,Qa=!0,mo=null,Bo={box:null,placeable:!1,offscreen:null},Ps={box:null,placeable:!1,offscreen:null},Ts=null,wo=null,To=null,hl=0,Ul=0,Lu=0;Cn.textFeatureIndex?hl=Cn.textFeatureIndex:ln.useRuntimeCollisionCircles&&(hl=ln.featureIndex),Cn.verticalTextFeatureIndex&&(Ul=Cn.verticalTextFeatureIndex);let au=Cn.textBox;if(au){let Tl=Te=>{let Ne=a.ah.horizontal;if(ee.allowVerticalPlacement&&!Te&&this.prevPlacement){let He=this.prevPlacement.placedOrientations[ln.crossTileID];He&&(this.placedOrientations[ln.crossTileID]=He,Ne=He,this.markUsedOrientation(ee,Ne,ln))}return Ne},Al=(Te,Ne)=>{if(ee.allowVerticalPlacement&&ln.numVerticalGlyphVertices>0&&Cn.verticalTextBox){for(let He of ee.writingModes)if(He===a.ah.vertical?(Bo=Ne(),Ps=Bo):Bo=Te(),Bo&&Bo.placeable)break}else Bo=Te()},X=ln.textAnchorOffsetStartIndex,se=ln.textAnchorOffsetEndIndex;if(se===X){let Te=(Ne,He)=>{let Ye=this.collisionIndex.placeCollisionBox(Ne,We,xr,ot,Tt,dr,tr,qe,De.predicate,Pi);return Ye&&Ye.placeable&&(this.markUsedOrientation(ee,He,ln),this.placedOrientations[ln.crossTileID]=He),Ye};Al(()=>Te(au,a.ah.horizontal),()=>{let Ne=Cn.verticalTextBox;return ee.allowVerticalPlacement&&ln.numVerticalGlyphVertices>0&&Ne?Te(Ne,a.ah.vertical):{box:null,offscreen:null}}),Tl(Bo&&Bo.placeable)}else{let Te=a.aq[(fa=(Ta=this.prevPlacement)===null||Ta===void 0?void 0:Ta.variableOffsets[ln.crossTileID])===null||fa===void 0?void 0:fa.anchor],Ne=(Ye,kt,nt)=>{let jt=Ye.x2-Ye.x1,gr=Ye.y2-Ye.y1,yr=ln.textBoxScale,Hr=Sr&&Ft===\"never\"?kt:null,qr=null,_i=We===\"never\"?1:2,bi=\"never\";Te&&_i++;for(let Zr=0;Zr<_i;Zr++){for(let ai=X;ai<se;ai++){let gi=ee.textAnchorOffsets.get(ai);if(Te&&gi.textAnchor!==Te)continue;let Ii=this.attemptAnchorPlacement(gi,Ye,jt,gr,yr,tr,dr,xr,ot,Tt,De,bi,ln,ee,nt,qe,Xe,Hr,Pi);if(Ii&&(qr=Ii.placedGlyphBoxes,qr&&qr.placeable))return $a=!0,mo=Ii.shift,qr}Te?Te=null:bi=We}return Q&&!qr&&(qr={box:this.collisionIndex.placeCollisionBox(au,\"always\",xr,ot,Tt,dr,tr,qe,De.predicate,Pi,new a.P(0,0)).box,offscreen:!1,placeable:!1}),qr};Al(()=>Ne(au,Cn.iconBox,a.ah.horizontal),()=>{let Ye=Cn.verticalTextBox;return ee.allowVerticalPlacement&&(!Bo||!Bo.placeable)&&ln.numVerticalGlyphVertices>0&&Ye?Ne(Ye,Cn.verticalIconBox,a.ah.vertical):{box:null,occluded:!0,offscreen:null}}),Bo&&($a=Bo.placeable,Qa=Bo.offscreen);let He=Tl(Bo&&Bo.placeable);if(!$a&&this.prevPlacement){let Ye=this.prevPlacement.variableOffsets[ln.crossTileID];Ye&&(this.variableOffsets[ln.crossTileID]=Ye,this.markUsedJustification(ee,Ye.anchor,ln,He))}}}if(Ts=Bo,$a=Ts&&Ts.placeable,Qa=Ts&&Ts.offscreen,ln.useRuntimeCollisionCircles){let Tl=ee.text.placedSymbolArray.get(ln.centerJustifiedTextSymbolIndex),Al=a.ai(ee.textSizeData,be,Tl),X=le.get(\"text-padding\");wo=this.collisionIndex.placeCollisionCircles(We,Tl,ee.lineVertexArray,ee.glyphOffsetArray,Al,ot,Tt,Yt,Kt,Q,dr,De.predicate,ln.collisionCircleDiameter,X,qe,Pi),wo.circles.length&&wo.collisionDetected&&!Q&&a.w(\"Collisions detected, but collision boxes are not shown\"),$a=it||wo.circles.length>0&&!wo.collisionDetected,Qa=Qa&&wo.offscreen}if(Cn.iconFeatureIndex&&(Lu=Cn.iconFeatureIndex),Cn.iconBox){let Tl=Al=>this.collisionIndex.placeCollisionBox(Al,Ft,xr,ot,Tt,dr,tr,Xe,De.predicate,Pi,Sr&&mo?mo:void 0);Ps&&Ps.placeable&&Cn.verticalIconBox?(To=Tl(Cn.verticalIconBox),Co=To.placeable):(To=Tl(Cn.iconBox),Co=To.placeable),Qa=Qa&&To.offscreen}let Js=Be||ln.numHorizontalGlyphVertices===0&&ln.numVerticalGlyphVertices===0,Ql=et||ln.numIconVertices===0;Js||Ql?Ql?Js||(Co=Co&&$a):$a=Co&&$a:Co=$a=Co&&$a;let dc=Co&&To.placeable;if($a&&Ts.placeable&&this.collisionIndex.insertCollisionBox(Ts.box,We,le.get(\"text-ignore-placement\"),ee.bucketInstanceId,Ps&&Ps.placeable&&Ul?Ul:hl,De.ID),dc&&this.collisionIndex.insertCollisionBox(To.box,Ft,le.get(\"icon-ignore-placement\"),ee.bucketInstanceId,Lu,De.ID),wo&&$a&&this.collisionIndex.insertCollisionCircles(wo.circles,We,le.get(\"text-ignore-placement\"),ee.bucketInstanceId,hl,De.ID),Q&&this.storeCollisionData(ee.bucketInstanceId,Kn,Cn,Ts,To,wo),ln.crossTileID===0)throw new Error(\"symbolInstance.crossTileID can't be 0\");if(ee.bucketInstanceId===0)throw new Error(\"bucket.bucketInstanceId can't be 0\");this.placements[ln.crossTileID]=new qn($a||Wr,Co||ni,Qa||ee.justReloaded),B[ln.crossTileID]=!0};if(Or){if(w.symbolInstanceStart!==0)throw new Error(\"bucket.bucketInstanceId should be 0\");let ln=ee.getSortedSymbolIndexes(this.transform.angle);for(let Cn=ln.length-1;Cn>=0;--Cn){let Kn=ln[Cn];cn(ee.symbolInstances.get(Kn),ee.collisionArrays[Kn],Kn)}}else for(let ln=w.symbolInstanceStart;ln<w.symbolInstanceEnd;ln++)cn(ee.symbolInstances.get(ln),ee.collisionArrays[ln],ln);if(Q&&ee.bucketInstanceId in this.collisionCircleArrays){let ln=this.collisionCircleArrays[ee.bucketInstanceId];a.as(ln.invProjMatrix,ot),ln.viewportMatrix=this.collisionIndex.getViewportMatrix()}ee.justReloaded=!1}storeCollisionData(w,B,Q,ee,le,qe){if(Q.textBox||Q.iconBox){let Xe,ot;this.collisionBoxArrays.has(w)?Xe=this.collisionBoxArrays.get(w):(Xe=new Map,this.collisionBoxArrays.set(w,Xe)),Xe.has(B)?ot=Xe.get(B):(ot={text:null,icon:null},Xe.set(B,ot)),Q.textBox&&(ot.text=ee.box),Q.iconBox&&(ot.icon=le.box)}if(qe){let Xe=this.collisionCircleArrays[w];Xe===void 0&&(Xe=this.collisionCircleArrays[w]=new Fn);for(let ot=0;ot<qe.circles.length;ot+=4)Xe.circles.push(qe.circles[ot+0]),Xe.circles.push(qe.circles[ot+1]),Xe.circles.push(qe.circles[ot+2]),Xe.circles.push(qe.collisionDetected?1:0)}}markUsedJustification(w,B,Q,ee){let le;le=ee===a.ah.vertical?Q.verticalPlacedTextSymbolIndex:{left:Q.leftJustifiedTextSymbolIndex,center:Q.centerJustifiedTextSymbolIndex,right:Q.rightJustifiedTextSymbolIndex}[a.at(B)];let qe=[Q.leftJustifiedTextSymbolIndex,Q.centerJustifiedTextSymbolIndex,Q.rightJustifiedTextSymbolIndex,Q.verticalPlacedTextSymbolIndex];for(let Xe of qe)Xe>=0&&(w.text.placedSymbolArray.get(Xe).crossTileID=le>=0&&Xe!==le?0:Q.crossTileID)}markUsedOrientation(w,B,Q){let ee=B===a.ah.horizontal||B===a.ah.horizontalOnly?B:0,le=B===a.ah.vertical?B:0,qe=[Q.leftJustifiedTextSymbolIndex,Q.centerJustifiedTextSymbolIndex,Q.rightJustifiedTextSymbolIndex];for(let Xe of qe)w.text.placedSymbolArray.get(Xe).placedOrientation=ee;Q.verticalPlacedTextSymbolIndex&&(w.text.placedSymbolArray.get(Q.verticalPlacedTextSymbolIndex).placedOrientation=le)}commit(w){this.commitTime=w,this.zoomAtLastRecencyCheck=this.transform.zoom;let B=this.prevPlacement,Q=!1;this.prevZoomAdjustment=B?B.zoomAdjustment(this.transform.zoom):0;let ee=B?B.symbolFadeChange(w):1,le=B?B.opacities:{},qe=B?B.variableOffsets:{},Xe=B?B.placedOrientations:{};for(let ot in this.placements){let Tt=this.placements[ot],Yt=le[ot];Yt?(this.opacities[ot]=new On(Yt,ee,Tt.text,Tt.icon),Q=Q||Tt.text!==Yt.text.placed||Tt.icon!==Yt.icon.placed):(this.opacities[ot]=new On(null,ee,Tt.text,Tt.icon,Tt.skipFade),Q=Q||Tt.text||Tt.icon)}for(let ot in le){let Tt=le[ot];if(!this.opacities[ot]){let Yt=new On(Tt,ee,!1,!1);Yt.isHidden()||(this.opacities[ot]=Yt,Q=Q||Tt.text.placed||Tt.icon.placed)}}for(let ot in qe)this.variableOffsets[ot]||!this.opacities[ot]||this.opacities[ot].isHidden()||(this.variableOffsets[ot]=qe[ot]);for(let ot in Xe)this.placedOrientations[ot]||!this.opacities[ot]||this.opacities[ot].isHidden()||(this.placedOrientations[ot]=Xe[ot]);if(B&&B.lastPlacementChangeTime===void 0)throw new Error(\"Last placement time for previous placement is not defined\");Q?this.lastPlacementChangeTime=w:typeof this.lastPlacementChangeTime!=\"number\"&&(this.lastPlacementChangeTime=B?B.lastPlacementChangeTime:w)}updateLayerOpacities(w,B){let Q={};for(let ee of B){let le=ee.getBucket(w);le&&ee.latestFeatureIndex&&w.id===le.layerIds[0]&&this.updateBucketOpacities(le,ee.tileID,Q,ee.collisionBoxArray)}}updateBucketOpacities(w,B,Q,ee){w.hasTextData()&&(w.text.opacityVertexArray.clear(),w.text.hasVisibleVertices=!1),w.hasIconData()&&(w.icon.opacityVertexArray.clear(),w.icon.hasVisibleVertices=!1),w.hasIconCollisionBoxData()&&w.iconCollisionBox.collisionVertexArray.clear(),w.hasTextCollisionBoxData()&&w.textCollisionBox.collisionVertexArray.clear();let le=w.layers[0],qe=le.layout,Xe=new On(null,0,!1,!1,!0),ot=qe.get(\"text-allow-overlap\"),Tt=qe.get(\"icon-allow-overlap\"),Yt=le._unevaluatedLayout.hasValue(\"text-variable-anchor\")||le._unevaluatedLayout.hasValue(\"text-variable-anchor-offset\"),Kt=qe.get(\"text-rotation-alignment\")===\"map\",xr=qe.get(\"text-pitch-alignment\")===\"map\",Ir=qe.get(\"icon-text-fit\")!==\"none\",ve=new On(null,0,ot&&(Tt||!w.hasIconData()||qe.get(\"icon-optional\")),Tt&&(ot||!w.hasTextData()||qe.get(\"text-optional\")),!0);!w.collisionArrays&&ee&&(w.hasIconCollisionBoxData()||w.hasTextCollisionBoxData())&&w.deserializeCollisionBoxes(ee);let be=(Be,et,We)=>{for(let it=0;it<et/4;it++)Be.opacityVertexArray.emplaceBack(We);Be.hasVisibleVertices=Be.hasVisibleVertices||We!==fn},De=this.collisionBoxArrays.get(w.bucketInstanceId);for(let Be=0;Be<w.symbolInstances.length;Be++){let et=w.symbolInstances.get(Be),{numHorizontalGlyphVertices:We,numVerticalGlyphVertices:it,crossTileID:Ft}=et,Ht=this.opacities[Ft];Q[Ft]?Ht=Xe:Ht||(Ht=ve,this.opacities[Ft]=Ht),Q[Ft]=!0;let tr=et.numIconVertices>0,dr=this.placedOrientations[et.crossTileID],Sr=dr===a.ah.vertical,Or=dr===a.ah.horizontal||dr===a.ah.horizontalOnly;if(We>0||it>0){let ni=tn(Ht.text);be(w.text,We,Sr?fn:ni),be(w.text,it,Or?fn:ni);let Pi=Ht.text.isHidden();[et.rightJustifiedTextSymbolIndex,et.centerJustifiedTextSymbolIndex,et.leftJustifiedTextSymbolIndex].forEach(Cn=>{Cn>=0&&(w.text.placedSymbolArray.get(Cn).hidden=Pi||Sr?1:0)}),et.verticalPlacedTextSymbolIndex>=0&&(w.text.placedSymbolArray.get(et.verticalPlacedTextSymbolIndex).hidden=Pi||Or?1:0);let cn=this.variableOffsets[et.crossTileID];cn&&this.markUsedJustification(w,cn.anchor,et,dr);let ln=this.placedOrientations[et.crossTileID];ln&&(this.markUsedJustification(w,\"left\",et,ln),this.markUsedOrientation(w,ln,et))}if(tr){let ni=tn(Ht.icon),Pi=!(Ir&&et.verticalPlacedIconSymbolIndex&&Sr);et.placedIconSymbolIndex>=0&&(be(w.icon,et.numIconVertices,Pi?ni:fn),w.icon.placedSymbolArray.get(et.placedIconSymbolIndex).hidden=Ht.icon.isHidden()),et.verticalPlacedIconSymbolIndex>=0&&(be(w.icon,et.numVerticalIconVertices,Pi?fn:ni),w.icon.placedSymbolArray.get(et.verticalPlacedIconSymbolIndex).hidden=Ht.icon.isHidden())}let Wr=De&&De.has(Be)?De.get(Be):{text:null,icon:null};if(w.hasIconCollisionBoxData()||w.hasTextCollisionBoxData()){let ni=w.collisionArrays[Be];if(ni){let Pi=new a.P(0,0);if(ni.textBox||ni.verticalTextBox){let cn=!0;if(Yt){let ln=this.variableOffsets[Ft];ln?(Pi=Ut(ln.anchor,ln.width,ln.height,ln.textOffset,ln.textBoxScale),Kt&&Pi._rotate(xr?this.transform.angle:-this.transform.angle)):cn=!1}if(ni.textBox||ni.verticalTextBox){let ln;ni.textBox&&(ln=Sr),ni.verticalTextBox&&(ln=Or),rr(w.textCollisionBox.collisionVertexArray,Ht.text.placed,!cn||ln,Wr.text,Pi.x,Pi.y)}}if(ni.iconBox||ni.verticalIconBox){let cn=!!(!Or&&ni.verticalIconBox),ln;ni.iconBox&&(ln=cn),ni.verticalIconBox&&(ln=!cn),rr(w.iconCollisionBox.collisionVertexArray,Ht.icon.placed,ln,Wr.icon,Ir?Pi.x:0,Ir?Pi.y:0)}}}}if(w.sortFeatures(this.transform.angle),this.retainedQueryData[w.bucketInstanceId]&&(this.retainedQueryData[w.bucketInstanceId].featureSortOrder=w.featureSortOrder),w.hasTextData()&&w.text.opacityVertexBuffer&&w.text.opacityVertexBuffer.updateData(w.text.opacityVertexArray),w.hasIconData()&&w.icon.opacityVertexBuffer&&w.icon.opacityVertexBuffer.updateData(w.icon.opacityVertexArray),w.hasIconCollisionBoxData()&&w.iconCollisionBox.collisionVertexBuffer&&w.iconCollisionBox.collisionVertexBuffer.updateData(w.iconCollisionBox.collisionVertexArray),w.hasTextCollisionBoxData()&&w.textCollisionBox.collisionVertexBuffer&&w.textCollisionBox.collisionVertexBuffer.updateData(w.textCollisionBox.collisionVertexArray),w.text.opacityVertexArray.length!==w.text.layoutVertexArray.length/4)throw new Error(`bucket.text.opacityVertexArray.length (= ${w.text.opacityVertexArray.length}) !== bucket.text.layoutVertexArray.length (= ${w.text.layoutVertexArray.length}) / 4`);if(w.icon.opacityVertexArray.length!==w.icon.layoutVertexArray.length/4)throw new Error(`bucket.icon.opacityVertexArray.length (= ${w.icon.opacityVertexArray.length}) !== bucket.icon.layoutVertexArray.length (= ${w.icon.layoutVertexArray.length}) / 4`);if(w.bucketInstanceId in this.collisionCircleArrays){let Be=this.collisionCircleArrays[w.bucketInstanceId];w.placementInvProjMatrix=Be.invProjMatrix,w.placementViewportMatrix=Be.viewportMatrix,w.collisionCircleArray=Be.circles,delete this.collisionCircleArrays[w.bucketInstanceId]}}symbolFadeChange(w){return this.fadeDuration===0?1:(w-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment}zoomAdjustment(w){return Math.max(0,(this.transform.zoom-w)/1.5)}hasTransitions(w){return this.stale||w-this.lastPlacementChangeTime<this.fadeDuration}stillRecent(w,B){let Q=this.zoomAtLastRecencyCheck===B?1-this.zoomAdjustment(B):1;return this.zoomAtLastRecencyCheck=B,this.commitTime+this.fadeDuration*Q>w}setStale(){this.stale=!0}}function rr(ue,w,B,Q,ee,le){Q&&Q.length!==0||(Q=[0,0,0,0]);let qe=Q[0]-di,Xe=Q[1]-di,ot=Q[2]-di,Tt=Q[3]-di;ue.emplaceBack(w?1:0,B?1:0,ee||0,le||0,qe,Xe),ue.emplaceBack(w?1:0,B?1:0,ee||0,le||0,ot,Xe),ue.emplaceBack(w?1:0,B?1:0,ee||0,le||0,ot,Tt),ue.emplaceBack(w?1:0,B?1:0,ee||0,le||0,qe,Tt)}let nr=Math.pow(2,25),Er=Math.pow(2,24),Xr=Math.pow(2,17),ri=Math.pow(2,16),Qr=Math.pow(2,9),Oi=Math.pow(2,8),$i=Math.pow(2,1);function tn(ue){if(ue.opacity===0&&!ue.placed)return 0;if(ue.opacity===1&&ue.placed)return 4294967295;let w=ue.placed?1:0,B=Math.floor(127*ue.opacity);return B*nr+w*Er+B*Xr+w*ri+B*Qr+w*Oi+B*$i+w}let fn=0;function yn(){return{isOccluded:(ue,w,B)=>!1,getPitchedTextCorrection:(ue,w,B)=>1,get useSpecialProjectionForSymbols(){return!1},projectTileCoordinates(ue,w,B,Q){throw new Error(\"Not implemented.\")},translatePosition:(ue,w,B,Q)=>function(ee,le,qe,Xe,ot=!1){if(!qe[0]&&!qe[1])return[0,0];let Tt=ot?Xe===\"map\"?ee.angle:0:Xe===\"viewport\"?-ee.angle:0;if(Tt){let Yt=Math.sin(Tt),Kt=Math.cos(Tt);qe=[qe[0]*Kt-qe[1]*Yt,qe[0]*Yt+qe[1]*Kt]}return[ot?qe[0]:In(le,qe[0],ee.zoom),ot?qe[1]:In(le,qe[1],ee.zoom)]}(ue,w,B,Q),getCircleRadiusCorrection:ue=>1}}class Sn{constructor(w){this._sortAcrossTiles=w.layout.get(\"symbol-z-order\")!==\"viewport-y\"&&!w.layout.get(\"symbol-sort-key\").isConstant(),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]}continuePlacement(w,B,Q,ee,le){let qe=this._bucketParts;for(;this._currentTileIndex<w.length;)if(B.getBucketParts(qe,ee,w[this._currentTileIndex],this._sortAcrossTiles),this._currentTileIndex++,le())return!0;for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,qe.sort((Xe,ot)=>Xe.sortKey-ot.sortKey));this._currentPartIndex<qe.length;)if(B.placeLayerBucketPart(qe[this._currentPartIndex],this._seenCrossTileIDs,Q),this._currentPartIndex++,le())return!0;return!1}}class Ba{constructor(w,B,Q,ee,le,qe,Xe,ot){this.placement=new wt(w,yn(),B,qe,Xe,ot),this._currentPlacementIndex=Q.length-1,this._forceFullPlacement=ee,this._showCollisionBoxes=le,this._done=!1}isDone(){return this._done}continuePlacement(w,B,Q){let ee=u.now(),le=()=>!this._forceFullPlacement&&u.now()-ee>2;for(;this._currentPlacementIndex>=0;){let qe=B[w[this._currentPlacementIndex]],Xe=this.placement.collisionIndex.transform.zoom;if(qe.type===\"symbol\"&&(!qe.minzoom||qe.minzoom<=Xe)&&(!qe.maxzoom||qe.maxzoom>Xe)){if(this._inProgressLayer||(this._inProgressLayer=new Sn(qe)),this._inProgressLayer.continuePlacement(Q[qe.source],this.placement,this._showCollisionBoxes,qe,le))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0}commit(w){return this.placement.commit(w),this.placement}}let ua=512/a.X/2;class ma{constructor(w,B,Q){this.tileID=w,this.bucketInstanceId=Q,this._symbolsByKey={};let ee=new Map;for(let le=0;le<B.length;le++){let qe=B.get(le),Xe=qe.key,ot=ee.get(Xe);ot?ot.push(qe):ee.set(Xe,[qe])}for(let[le,qe]of ee){let Xe={positions:qe.map(ot=>({x:Math.floor(ot.anchorX*ua),y:Math.floor(ot.anchorY*ua)})),crossTileIDs:qe.map(ot=>ot.crossTileID)};if(Xe.positions.length>128){let ot=new a.av(Xe.positions.length,16,Uint16Array);for(let{x:Tt,y:Yt}of Xe.positions)ot.add(Tt,Yt);ot.finish(),delete Xe.positions,Xe.index=ot}this._symbolsByKey[le]=Xe}}getScaledCoordinates(w,B){let{x:Q,y:ee,z:le}=this.tileID.canonical,{x:qe,y:Xe,z:ot}=B.canonical,Tt=ua/Math.pow(2,ot-le),Yt=(Xe*a.X+w.anchorY)*Tt,Kt=ee*a.X*ua;return{x:Math.floor((qe*a.X+w.anchorX)*Tt-Q*a.X*ua),y:Math.floor(Yt-Kt)}}findMatches(w,B,Q){let ee=this.tileID.canonical.z<B.canonical.z?1:Math.pow(2,this.tileID.canonical.z-B.canonical.z);for(let le=0;le<w.length;le++){let qe=w.get(le);if(qe.crossTileID)continue;let Xe=this._symbolsByKey[qe.key];if(!Xe)continue;let ot=this.getScaledCoordinates(qe,B);if(Xe.index){let Tt=Xe.index.range(ot.x-ee,ot.y-ee,ot.x+ee,ot.y+ee).sort();for(let Yt of Tt){let Kt=Xe.crossTileIDs[Yt];if(!Q[Kt]){Q[Kt]=!0,qe.crossTileID=Kt;break}}}else if(Xe.positions)for(let Tt=0;Tt<Xe.positions.length;Tt++){let Yt=Xe.positions[Tt],Kt=Xe.crossTileIDs[Tt];if(Math.abs(Yt.x-ot.x)<=ee&&Math.abs(Yt.y-ot.y)<=ee&&!Q[Kt]){Q[Kt]=!0,qe.crossTileID=Kt;break}}}}getCrossTileIDsLists(){return Object.values(this._symbolsByKey).map(({crossTileIDs:w})=>w)}}class Wa{constructor(){this.maxCrossTileID=0}generate(){return++this.maxCrossTileID}}class Fa{constructor(){this.indexes={},this.usedCrossTileIDs={},this.lng=0}handleWrapJump(w){let B=Math.round((w-this.lng)/360);if(B!==0)for(let Q in this.indexes){let ee=this.indexes[Q],le={};for(let qe in ee){let Xe=ee[qe];Xe.tileID=Xe.tileID.unwrapTo(Xe.tileID.wrap+B),le[Xe.tileID.key]=Xe}this.indexes[Q]=le}this.lng=w}addBucket(w,B,Q){if(this.indexes[w.overscaledZ]&&this.indexes[w.overscaledZ][w.key]){if(this.indexes[w.overscaledZ][w.key].bucketInstanceId===B.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(w.overscaledZ,this.indexes[w.overscaledZ][w.key])}for(let le=0;le<B.symbolInstances.length;le++)B.symbolInstances.get(le).crossTileID=0;this.usedCrossTileIDs[w.overscaledZ]||(this.usedCrossTileIDs[w.overscaledZ]={});let ee=this.usedCrossTileIDs[w.overscaledZ];for(let le in this.indexes){let qe=this.indexes[le];if(Number(le)>w.overscaledZ)for(let Xe in qe){let ot=qe[Xe];ot.tileID.isChildOf(w)&&ot.findMatches(B.symbolInstances,w,ee)}else{let Xe=qe[w.scaledTo(Number(le)).key];Xe&&Xe.findMatches(B.symbolInstances,w,ee)}}for(let le=0;le<B.symbolInstances.length;le++){let qe=B.symbolInstances.get(le);qe.crossTileID||(qe.crossTileID=Q.generate(),ee[qe.crossTileID]=!0)}return this.indexes[w.overscaledZ]===void 0&&(this.indexes[w.overscaledZ]={}),this.indexes[w.overscaledZ][w.key]=new ma(w,B.symbolInstances,B.bucketInstanceId),!0}removeBucketCrossTileIDs(w,B){for(let Q of B.getCrossTileIDsLists())for(let ee of Q)delete this.usedCrossTileIDs[w][ee]}removeStaleBuckets(w){let B=!1;for(let Q in this.indexes){let ee=this.indexes[Q];for(let le in ee)w[ee[le].bucketInstanceId]||(this.removeBucketCrossTileIDs(Q,ee[le]),delete ee[le],B=!0)}return B}}class Wo{constructor(){this.layerIndexes={},this.crossTileIDs=new Wa,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}}addLayer(w,B,Q){let ee=this.layerIndexes[w.id];ee===void 0&&(ee=this.layerIndexes[w.id]=new Fa);let le=!1,qe={};ee.handleWrapJump(Q);for(let Xe of B){let ot=Xe.getBucket(w);ot&&w.id===ot.layerIds[0]&&(ot.bucketInstanceId||(ot.bucketInstanceId=++this.maxBucketInstanceId),ee.addBucket(Xe.tileID,ot,this.crossTileIDs)&&(le=!0),qe[ot.bucketInstanceId]=!0)}return ee.removeStaleBuckets(qe)&&(le=!0),le}pruneUnusedLayers(w){let B={};w.forEach(Q=>{B[Q]=!0});for(let Q in this.layerIndexes)B[Q]||delete this.layerIndexes[Q]}}let da=(ue,w)=>a.t(ue,w&&w.filter(B=>B.identifier!==\"source.canvas\")),Wn=a.aw();class Ha extends a.E{constructor(w,B={}){super(),this._rtlPluginLoaded=()=>{for(let Q in this.sourceCaches){let ee=this.sourceCaches[Q].getSource().type;ee!==\"vector\"&&ee!==\"geojson\"||this.sourceCaches[Q].reload()}},this.map=w,this.dispatcher=new Le(Se(),w._getMapId()),this.dispatcher.registerMessageHandler(\"GG\",(Q,ee)=>this.getGlyphs(Q,ee)),this.dispatcher.registerMessageHandler(\"GI\",(Q,ee)=>this.getImages(Q,ee)),this.imageManager=new T,this.imageManager.setEventedParent(this),this.glyphManager=new G(w._requestManager,B.localIdeographFontFamily),this.lineAtlas=new oe(256,512),this.crossTileSymbolIndex=new Wo,this._spritesImagesIds={},this._layers={},this._order=[],this.sourceCaches={},this.zoomHistory=new a.ax,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"SR\",a.ay()),Qt().on(cr,this._rtlPluginLoaded),this.on(\"data\",Q=>{if(Q.dataType!==\"source\"||Q.sourceDataType!==\"metadata\")return;let ee=this.sourceCaches[Q.sourceId];if(!ee)return;let le=ee.getSource();if(le&&le.vectorLayerIds)for(let qe in this._layers){let Xe=this._layers[qe];Xe.source===le.id&&this._validateLayer(Xe)}})}loadURL(w,B={},Q){this.fire(new a.k(\"dataloading\",{dataType:\"style\"})),B.validate=typeof B.validate!=\"boolean\"||B.validate;let ee=this.map._requestManager.transformRequest(w,\"Style\");this._loadStyleRequest=new AbortController;let le=this._loadStyleRequest;a.h(ee,this._loadStyleRequest).then(qe=>{this._loadStyleRequest=null,this._load(qe.data,B,Q)}).catch(qe=>{this._loadStyleRequest=null,qe&&!le.signal.aborted&&this.fire(new a.j(qe))})}loadJSON(w,B={},Q){this.fire(new a.k(\"dataloading\",{dataType:\"style\"})),this._frameRequest=new AbortController,u.frameAsync(this._frameRequest).then(()=>{this._frameRequest=null,B.validate=B.validate!==!1,this._load(w,B,Q)}).catch(()=>{})}loadEmpty(){this.fire(new a.k(\"dataloading\",{dataType:\"style\"})),this._load(Wn,{validate:!1})}_load(w,B,Q){var ee;let le=B.transformStyle?B.transformStyle(Q,w):w;if(!B.validate||!da(this,a.u(le))){this._loaded=!0,this.stylesheet=le;for(let qe in le.sources)this.addSource(qe,le.sources[qe],{validate:!1});le.sprite?this._loadSprite(le.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(le.glyphs),this._createLayers(),this.light=new N(this.stylesheet.light),this.sky=new te(this.stylesheet.sky),this.map.setTerrain((ee=this.stylesheet.terrain)!==null&&ee!==void 0?ee:null),this.fire(new a.k(\"data\",{dataType:\"style\"})),this.fire(new a.k(\"style.load\"))}}_createLayers(){let w=a.az(this.stylesheet.layers);this.dispatcher.broadcast(\"SL\",w),this._order=w.map(B=>B.id),this._layers={},this._serializedLayers=null;for(let B of w){let Q=a.aA(B);Q.setEventedParent(this,{layer:{id:B.id}}),this._layers[B.id]=Q}}_loadSprite(w,B=!1,Q=void 0){let ee;this.imageManager.setLoaded(!1),this._spriteRequest=new AbortController,function(le,qe,Xe,ot){return a._(this,void 0,void 0,function*(){let Tt=C(le),Yt=Xe>1?\"@2x\":\"\",Kt={},xr={};for(let{id:Ir,url:ve}of Tt){let be=qe.transformRequest(M(ve,Yt,\".json\"),\"SpriteJSON\");Kt[Ir]=a.h(be,ot);let De=qe.transformRequest(M(ve,Yt,\".png\"),\"SpriteImage\");xr[Ir]=p.getImage(De,ot)}return yield Promise.all([...Object.values(Kt),...Object.values(xr)]),function(Ir,ve){return a._(this,void 0,void 0,function*(){let be={};for(let De in Ir){be[De]={};let Be=u.getImageCanvasContext((yield ve[De]).data),et=(yield Ir[De]).data;for(let We in et){let{width:it,height:Ft,x:Ht,y:tr,sdf:dr,pixelRatio:Sr,stretchX:Or,stretchY:Wr,content:ni,textFitWidth:Pi,textFitHeight:cn}=et[We];be[De][We]={data:null,pixelRatio:Sr,sdf:dr,stretchX:Or,stretchY:Wr,content:ni,textFitWidth:Pi,textFitHeight:cn,spriteData:{width:it,height:Ft,x:Ht,y:tr,context:Be}}}}return be})}(Kt,xr)})}(w,this.map._requestManager,this.map.getPixelRatio(),this._spriteRequest).then(le=>{if(this._spriteRequest=null,le)for(let qe in le){this._spritesImagesIds[qe]=[];let Xe=this._spritesImagesIds[qe]?this._spritesImagesIds[qe].filter(ot=>!(ot in le)):[];for(let ot of Xe)this.imageManager.removeImage(ot),this._changedImages[ot]=!0;for(let ot in le[qe]){let Tt=qe===\"default\"?ot:`${qe}:${ot}`;this._spritesImagesIds[qe].push(Tt),Tt in this.imageManager.images?this.imageManager.updateImage(Tt,le[qe][ot],!1):this.imageManager.addImage(Tt,le[qe][ot]),B&&(this._changedImages[Tt]=!0)}}}).catch(le=>{this._spriteRequest=null,ee=le,this.fire(new a.j(ee))}).finally(()=>{this.imageManager.setLoaded(!0),this._availableImages=this.imageManager.listImages(),B&&(this._changed=!0),this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new a.k(\"data\",{dataType:\"style\"})),Q&&Q(ee)})}_unloadSprite(){for(let w of Object.values(this._spritesImagesIds).flat())this.imageManager.removeImage(w),this._changedImages[w]=!0;this._spritesImagesIds={},this._availableImages=this.imageManager.listImages(),this._changed=!0,this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new a.k(\"data\",{dataType:\"style\"}))}_validateLayer(w){let B=this.sourceCaches[w.source];if(!B)return;let Q=w.sourceLayer;if(!Q)return;let ee=B.getSource();(ee.type===\"geojson\"||ee.vectorLayerIds&&ee.vectorLayerIds.indexOf(Q)===-1)&&this.fire(new a.j(new Error(`Source layer \"${Q}\" does not exist on source \"${ee.id}\" as specified by style layer \"${w.id}\".`)))}loaded(){if(!this._loaded||Object.keys(this._updatedSources).length)return!1;for(let w in this.sourceCaches)if(!this.sourceCaches[w].loaded())return!1;return!!this.imageManager.isLoaded()}_serializeByIds(w,B=!1){let Q=this._serializedAllLayers();if(!w||w.length===0)return Object.values(B?a.aB(Q):Q);let ee=[];for(let le of w)if(Q[le]){let qe=B?a.aB(Q[le]):Q[le];ee.push(qe)}return ee}_serializedAllLayers(){let w=this._serializedLayers;if(w)return w;w=this._serializedLayers={};let B=Object.keys(this._layers);for(let Q of B){let ee=this._layers[Q];ee.type!==\"custom\"&&(w[Q]=ee.serialize())}return w}hasTransitions(){if(this.light&&this.light.hasTransition()||this.sky&&this.sky.hasTransition())return!0;for(let w in this.sourceCaches)if(this.sourceCaches[w].hasTransition())return!0;for(let w in this._layers)if(this._layers[w].hasTransition())return!0;return!1}_checkLoaded(){if(!this._loaded)throw new Error(\"Style is not done loading.\")}update(w){if(!this._loaded)return;let B=this._changed;if(B){let ee=Object.keys(this._updatedLayers),le=Object.keys(this._removedLayers);(ee.length||le.length)&&this._updateWorkerLayers(ee,le);for(let qe in this._updatedSources){let Xe=this._updatedSources[qe];if(Xe===\"reload\")this._reloadSource(qe);else{if(Xe!==\"clear\")throw new Error(`Invalid action ${Xe}`);this._clearSource(qe)}}this._updateTilesForChangedImages(),this._updateTilesForChangedGlyphs();for(let qe in this._updatedPaintProps)this._layers[qe].updateTransitions(w);this.light.updateTransitions(w),this.sky.updateTransitions(w),this._resetUpdates()}let Q={};for(let ee in this.sourceCaches){let le=this.sourceCaches[ee];Q[ee]=le.used,le.used=!1}for(let ee of this._order){let le=this._layers[ee];le.recalculate(w,this._availableImages),!le.isHidden(w.zoom)&&le.source&&(this.sourceCaches[le.source].used=!0)}for(let ee in Q){let le=this.sourceCaches[ee];!!Q[ee]!=!!le.used&&le.fire(new a.k(\"data\",{sourceDataType:\"visibility\",dataType:\"source\",sourceId:ee}))}this.light.recalculate(w),this.sky.recalculate(w),this.z=w.zoom,B&&this.fire(new a.k(\"data\",{dataType:\"style\"}))}_updateTilesForChangedImages(){let w=Object.keys(this._changedImages);if(w.length){for(let B in this.sourceCaches)this.sourceCaches[B].reloadTilesForDependencies([\"icons\",\"patterns\"],w);this._changedImages={}}}_updateTilesForChangedGlyphs(){if(this._glyphsDidChange){for(let w in this.sourceCaches)this.sourceCaches[w].reloadTilesForDependencies([\"glyphs\"],[\"\"]);this._glyphsDidChange=!1}}_updateWorkerLayers(w,B){this.dispatcher.broadcast(\"UL\",{layers:this._serializeByIds(w,!1),removedIds:B})}_resetUpdates(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={},this._glyphsDidChange=!1}setState(w,B={}){var Q;this._checkLoaded();let ee=this.serialize();if(w=B.transformStyle?B.transformStyle(ee,w):w,((Q=B.validate)===null||Q===void 0||Q)&&da(this,a.u(w)))return!1;(w=a.aB(w)).layers=a.az(w.layers);let le=a.aC(ee,w),qe=this._getOperationsToPerform(le);if(qe.unimplemented.length>0)throw new Error(`Unimplemented: ${qe.unimplemented.join(\", \")}.`);if(qe.operations.length===0)return!1;for(let Xe of qe.operations)Xe();return this.stylesheet=w,this._serializedLayers=null,!0}_getOperationsToPerform(w){let B=[],Q=[];for(let ee of w)switch(ee.command){case\"setCenter\":case\"setZoom\":case\"setBearing\":case\"setPitch\":continue;case\"addLayer\":B.push(()=>this.addLayer.apply(this,ee.args));break;case\"removeLayer\":B.push(()=>this.removeLayer.apply(this,ee.args));break;case\"setPaintProperty\":B.push(()=>this.setPaintProperty.apply(this,ee.args));break;case\"setLayoutProperty\":B.push(()=>this.setLayoutProperty.apply(this,ee.args));break;case\"setFilter\":B.push(()=>this.setFilter.apply(this,ee.args));break;case\"addSource\":B.push(()=>this.addSource.apply(this,ee.args));break;case\"removeSource\":B.push(()=>this.removeSource.apply(this,ee.args));break;case\"setLayerZoomRange\":B.push(()=>this.setLayerZoomRange.apply(this,ee.args));break;case\"setLight\":B.push(()=>this.setLight.apply(this,ee.args));break;case\"setGeoJSONSourceData\":B.push(()=>this.setGeoJSONSourceData.apply(this,ee.args));break;case\"setGlyphs\":B.push(()=>this.setGlyphs.apply(this,ee.args));break;case\"setSprite\":B.push(()=>this.setSprite.apply(this,ee.args));break;case\"setSky\":B.push(()=>this.setSky.apply(this,ee.args));break;case\"setTerrain\":B.push(()=>this.map.setTerrain.apply(this,ee.args));break;case\"setTransition\":B.push(()=>{});break;default:Q.push(ee.command)}return{operations:B,unimplemented:Q}}addImage(w,B){if(this.getImage(w))return this.fire(new a.j(new Error(`An image named \"${w}\" already exists.`)));this.imageManager.addImage(w,B),this._afterImageUpdated(w)}updateImage(w,B){this.imageManager.updateImage(w,B)}getImage(w){return this.imageManager.getImage(w)}removeImage(w){if(!this.getImage(w))return this.fire(new a.j(new Error(`An image named \"${w}\" does not exist.`)));this.imageManager.removeImage(w),this._afterImageUpdated(w)}_afterImageUpdated(w){this._availableImages=this.imageManager.listImages(),this._changedImages[w]=!0,this._changed=!0,this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new a.k(\"data\",{dataType:\"style\"}))}listImages(){return this._checkLoaded(),this.imageManager.listImages()}addSource(w,B,Q={}){if(this._checkLoaded(),this.sourceCaches[w]!==void 0)throw new Error(`Source \"${w}\" already exists.`);if(!B.type)throw new Error(`The type property must be defined, but only the following properties were given: ${Object.keys(B).join(\", \")}.`);if([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(B.type)>=0&&this._validate(a.u.source,`sources.${w}`,B,null,Q))return;this.map&&this.map._collectResourceTiming&&(B.collectResourceTiming=!0);let ee=this.sourceCaches[w]=new mt(w,B,this.dispatcher);ee.style=this,ee.setEventedParent(this,()=>({isSourceLoaded:ee.loaded(),source:ee.serialize(),sourceId:w})),ee.onAdd(this.map),this._changed=!0}removeSource(w){if(this._checkLoaded(),this.sourceCaches[w]===void 0)throw new Error(\"There is no source with this ID\");for(let Q in this._layers)if(this._layers[Q].source===w)return this.fire(new a.j(new Error(`Source \"${w}\" cannot be removed while layer \"${Q}\" is using it.`)));let B=this.sourceCaches[w];delete this.sourceCaches[w],delete this._updatedSources[w],B.fire(new a.k(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:w})),B.setEventedParent(null),B.onRemove(this.map),this._changed=!0}setGeoJSONSourceData(w,B){if(this._checkLoaded(),this.sourceCaches[w]===void 0)throw new Error(`There is no source with this ID=${w}`);let Q=this.sourceCaches[w].getSource();if(Q.type!==\"geojson\")throw new Error(`geojsonSource.type is ${Q.type}, which is !== 'geojson`);Q.setData(B),this._changed=!0}getSource(w){return this.sourceCaches[w]&&this.sourceCaches[w].getSource()}addLayer(w,B,Q={}){this._checkLoaded();let ee=w.id;if(this.getLayer(ee))return void this.fire(new a.j(new Error(`Layer \"${ee}\" already exists on this map.`)));let le;if(w.type===\"custom\"){if(da(this,a.aD(w)))return;le=a.aA(w)}else{if(\"source\"in w&&typeof w.source==\"object\"&&(this.addSource(ee,w.source),w=a.aB(w),w=a.e(w,{source:ee})),this._validate(a.u.layer,`layers.${ee}`,w,{arrayIndex:-1},Q))return;le=a.aA(w),this._validateLayer(le),le.setEventedParent(this,{layer:{id:ee}})}let qe=B?this._order.indexOf(B):this._order.length;if(B&&qe===-1)this.fire(new a.j(new Error(`Cannot add layer \"${ee}\" before non-existing layer \"${B}\".`)));else{if(this._order.splice(qe,0,ee),this._layerOrderChanged=!0,this._layers[ee]=le,this._removedLayers[ee]&&le.source&&le.type!==\"custom\"){let Xe=this._removedLayers[ee];delete this._removedLayers[ee],Xe.type!==le.type?this._updatedSources[le.source]=\"clear\":(this._updatedSources[le.source]=\"reload\",this.sourceCaches[le.source].pause())}this._updateLayer(le),le.onAdd&&le.onAdd(this.map)}}moveLayer(w,B){if(this._checkLoaded(),this._changed=!0,!this._layers[w])return void this.fire(new a.j(new Error(`The layer '${w}' does not exist in the map's style and cannot be moved.`)));if(w===B)return;let Q=this._order.indexOf(w);this._order.splice(Q,1);let ee=B?this._order.indexOf(B):this._order.length;B&&ee===-1?this.fire(new a.j(new Error(`Cannot move layer \"${w}\" before non-existing layer \"${B}\".`))):(this._order.splice(ee,0,w),this._layerOrderChanged=!0)}removeLayer(w){this._checkLoaded();let B=this._layers[w];if(!B)return void this.fire(new a.j(new Error(`Cannot remove non-existing layer \"${w}\".`)));B.setEventedParent(null);let Q=this._order.indexOf(w);this._order.splice(Q,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[w]=B,delete this._layers[w],this._serializedLayers&&delete this._serializedLayers[w],delete this._updatedLayers[w],delete this._updatedPaintProps[w],B.onRemove&&B.onRemove(this.map)}getLayer(w){return this._layers[w]}getLayersOrder(){return[...this._order]}hasLayer(w){return w in this._layers}setLayerZoomRange(w,B,Q){this._checkLoaded();let ee=this.getLayer(w);ee?ee.minzoom===B&&ee.maxzoom===Q||(B!=null&&(ee.minzoom=B),Q!=null&&(ee.maxzoom=Q),this._updateLayer(ee)):this.fire(new a.j(new Error(`Cannot set the zoom range of non-existing layer \"${w}\".`)))}setFilter(w,B,Q={}){this._checkLoaded();let ee=this.getLayer(w);if(ee){if(!a.aE(ee.filter,B))return B==null?(ee.filter=void 0,void this._updateLayer(ee)):void(this._validate(a.u.filter,`layers.${ee.id}.filter`,B,null,Q)||(ee.filter=a.aB(B),this._updateLayer(ee)))}else this.fire(new a.j(new Error(`Cannot filter non-existing layer \"${w}\".`)))}getFilter(w){return a.aB(this.getLayer(w).filter)}setLayoutProperty(w,B,Q,ee={}){this._checkLoaded();let le=this.getLayer(w);le?a.aE(le.getLayoutProperty(B),Q)||(le.setLayoutProperty(B,Q,ee),this._updateLayer(le)):this.fire(new a.j(new Error(`Cannot style non-existing layer \"${w}\".`)))}getLayoutProperty(w,B){let Q=this.getLayer(w);if(Q)return Q.getLayoutProperty(B);this.fire(new a.j(new Error(`Cannot get style of non-existing layer \"${w}\".`)))}setPaintProperty(w,B,Q,ee={}){this._checkLoaded();let le=this.getLayer(w);le?a.aE(le.getPaintProperty(B),Q)||(le.setPaintProperty(B,Q,ee)&&this._updateLayer(le),this._changed=!0,this._updatedPaintProps[w]=!0,this._serializedLayers=null):this.fire(new a.j(new Error(`Cannot style non-existing layer \"${w}\".`)))}getPaintProperty(w,B){return this.getLayer(w).getPaintProperty(B)}setFeatureState(w,B){this._checkLoaded();let Q=w.source,ee=w.sourceLayer,le=this.sourceCaches[Q];if(le===void 0)return void this.fire(new a.j(new Error(`The source '${Q}' does not exist in the map's style.`)));let qe=le.getSource().type;qe===\"geojson\"&&ee?this.fire(new a.j(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):qe!==\"vector\"||ee?(w.id===void 0&&this.fire(new a.j(new Error(\"The feature id parameter must be provided.\"))),le.setFeatureState(ee,w.id,B)):this.fire(new a.j(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}removeFeatureState(w,B){this._checkLoaded();let Q=w.source,ee=this.sourceCaches[Q];if(ee===void 0)return void this.fire(new a.j(new Error(`The source '${Q}' does not exist in the map's style.`)));let le=ee.getSource().type,qe=le===\"vector\"?w.sourceLayer:void 0;le!==\"vector\"||qe?B&&typeof w.id!=\"string\"&&typeof w.id!=\"number\"?this.fire(new a.j(new Error(\"A feature id is required to remove its specific state property.\"))):ee.removeFeatureState(qe,w.id,B):this.fire(new a.j(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}getFeatureState(w){this._checkLoaded();let B=w.source,Q=w.sourceLayer,ee=this.sourceCaches[B];if(ee!==void 0)return ee.getSource().type!==\"vector\"||Q?(w.id===void 0&&this.fire(new a.j(new Error(\"The feature id parameter must be provided.\"))),ee.getFeatureState(Q,w.id)):void this.fire(new a.j(new Error(\"The sourceLayer parameter must be provided for vector source types.\")));this.fire(new a.j(new Error(`The source '${B}' does not exist in the map's style.`)))}getTransition(){return a.e({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)}serialize(){if(!this._loaded)return;let w=a.aF(this.sourceCaches,le=>le.serialize()),B=this._serializeByIds(this._order,!0),Q=this.map.getTerrain()||void 0,ee=this.stylesheet;return a.aG({version:ee.version,name:ee.name,metadata:ee.metadata,light:ee.light,sky:ee.sky,center:ee.center,zoom:ee.zoom,bearing:ee.bearing,pitch:ee.pitch,sprite:ee.sprite,glyphs:ee.glyphs,transition:ee.transition,sources:w,layers:B,terrain:Q},le=>le!==void 0)}_updateLayer(w){this._updatedLayers[w.id]=!0,w.source&&!this._updatedSources[w.source]&&this.sourceCaches[w.source].getSource().type!==\"raster\"&&(this._updatedSources[w.source]=\"reload\",this.sourceCaches[w.source].pause()),this._serializedLayers=null,this._changed=!0}_flattenAndSortRenderedFeatures(w){let B=qe=>this._layers[qe].type===\"fill-extrusion\",Q={},ee=[];for(let qe=this._order.length-1;qe>=0;qe--){let Xe=this._order[qe];if(B(Xe)){Q[Xe]=qe;for(let ot of w){let Tt=ot[Xe];if(Tt)for(let Yt of Tt)ee.push(Yt)}}}ee.sort((qe,Xe)=>Xe.intersectionZ-qe.intersectionZ);let le=[];for(let qe=this._order.length-1;qe>=0;qe--){let Xe=this._order[qe];if(B(Xe))for(let ot=ee.length-1;ot>=0;ot--){let Tt=ee[ot].feature;if(Q[Tt.layer.id]<qe)break;le.push(Tt),ee.pop()}else for(let ot of w){let Tt=ot[Xe];if(Tt)for(let Yt of Tt)le.push(Yt.feature)}}return le}queryRenderedFeatures(w,B,Q){B&&B.filter&&this._validate(a.u.filter,\"queryRenderedFeatures.filter\",B.filter,null,B);let ee={};if(B&&B.layers){if(!Array.isArray(B.layers))return this.fire(new a.j(new Error(\"parameters.layers must be an Array.\"))),[];for(let Xe of B.layers){let ot=this._layers[Xe];if(!ot)return this.fire(new a.j(new Error(`The layer '${Xe}' does not exist in the map's style and cannot be queried for features.`))),[];ee[ot.source]=!0}}let le=[];B.availableImages=this._availableImages;let qe=this._serializedAllLayers();for(let Xe in this.sourceCaches)B.layers&&!ee[Xe]||le.push(Pe(this.sourceCaches[Xe],this._layers,qe,w,B,Q));return this.placement&&le.push(function(Xe,ot,Tt,Yt,Kt,xr,Ir){let ve={},be=xr.queryRenderedSymbols(Yt),De=[];for(let Be of Object.keys(be).map(Number))De.push(Ir[Be]);De.sort(ge);for(let Be of De){let et=Be.featureIndex.lookupSymbolFeatures(be[Be.bucketInstanceId],ot,Be.bucketIndex,Be.sourceLayerIndex,Kt.filter,Kt.layers,Kt.availableImages,Xe);for(let We in et){let it=ve[We]=ve[We]||[],Ft=et[We];Ft.sort((Ht,tr)=>{let dr=Be.featureSortOrder;if(dr){let Sr=dr.indexOf(Ht.featureIndex);return dr.indexOf(tr.featureIndex)-Sr}return tr.featureIndex-Ht.featureIndex});for(let Ht of Ft)it.push(Ht)}}for(let Be in ve)ve[Be].forEach(et=>{let We=et.feature,it=Tt[Xe[Be].source].getFeatureState(We.layer[\"source-layer\"],We.id);We.source=We.layer.source,We.layer[\"source-layer\"]&&(We.sourceLayer=We.layer[\"source-layer\"]),We.state=it});return ve}(this._layers,qe,this.sourceCaches,w,B,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(le)}querySourceFeatures(w,B){B&&B.filter&&this._validate(a.u.filter,\"querySourceFeatures.filter\",B.filter,null,B);let Q=this.sourceCaches[w];return Q?function(ee,le){let qe=ee.getRenderableIds().map(Tt=>ee.getTileByID(Tt)),Xe=[],ot={};for(let Tt=0;Tt<qe.length;Tt++){let Yt=qe[Tt],Kt=Yt.tileID.canonical.key;ot[Kt]||(ot[Kt]=!0,Yt.querySourceFeatures(Xe,le))}return Xe}(Q,B):[]}getLight(){return this.light.getLight()}setLight(w,B={}){this._checkLoaded();let Q=this.light.getLight(),ee=!1;for(let qe in w)if(!a.aE(w[qe],Q[qe])){ee=!0;break}if(!ee)return;let le={now:u.now(),transition:a.e({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(w,B),this.light.updateTransitions(le)}getSky(){var w;return(w=this.stylesheet)===null||w===void 0?void 0:w.sky}setSky(w,B={}){let Q=this.getSky(),ee=!1;if(!w&&!Q)return;if(w&&!Q)ee=!0;else if(!w&&Q)ee=!0;else for(let qe in w)if(!a.aE(w[qe],Q[qe])){ee=!0;break}if(!ee)return;let le={now:u.now(),transition:a.e({duration:300,delay:0},this.stylesheet.transition)};this.stylesheet.sky=w,this.sky.setSky(w,B),this.sky.updateTransitions(le)}_validate(w,B,Q,ee,le={}){return(!le||le.validate!==!1)&&da(this,w.call(a.u,a.e({key:B,style:this.serialize(),value:Q,styleSpec:a.v},ee)))}_remove(w=!0){this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this._loadStyleRequest&&(this._loadStyleRequest.abort(),this._loadStyleRequest=null),this._spriteRequest&&(this._spriteRequest.abort(),this._spriteRequest=null),Qt().off(cr,this._rtlPluginLoaded);for(let B in this._layers)this._layers[B].setEventedParent(null);for(let B in this.sourceCaches){let Q=this.sourceCaches[B];Q.setEventedParent(null),Q.onRemove(this.map)}this.imageManager.setEventedParent(null),this.setEventedParent(null),w&&this.dispatcher.broadcast(\"RM\",void 0),this.dispatcher.remove(w)}_clearSource(w){this.sourceCaches[w].clearTiles()}_reloadSource(w){this.sourceCaches[w].resume(),this.sourceCaches[w].reload()}_updateSources(w){for(let B in this.sourceCaches)this.sourceCaches[B].update(w,this.map.terrain)}_generateCollisionBoxes(){for(let w in this.sourceCaches)this._reloadSource(w)}_updatePlacement(w,B,Q,ee,le=!1){let qe=!1,Xe=!1,ot={};for(let Tt of this._order){let Yt=this._layers[Tt];if(Yt.type!==\"symbol\")continue;if(!ot[Yt.source]){let xr=this.sourceCaches[Yt.source];ot[Yt.source]=xr.getRenderableIds(!0).map(Ir=>xr.getTileByID(Ir)).sort((Ir,ve)=>ve.tileID.overscaledZ-Ir.tileID.overscaledZ||(Ir.tileID.isLessThan(ve.tileID)?-1:1))}let Kt=this.crossTileSymbolIndex.addLayer(Yt,ot[Yt.source],w.center.lng);qe=qe||Kt}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((le=le||this._layerOrderChanged||Q===0)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(u.now(),w.zoom))&&(this.pauseablePlacement=new Ba(w,this.map.terrain,this._order,le,B,Q,ee,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,ot),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(u.now()),Xe=!0),qe&&this.pauseablePlacement.placement.setStale()),Xe||qe)for(let Tt of this._order){let Yt=this._layers[Tt];Yt.type===\"symbol\"&&this.placement.updateLayerOpacities(Yt,ot[Yt.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(u.now())}_releaseSymbolFadeTiles(){for(let w in this.sourceCaches)this.sourceCaches[w].releaseSymbolFadeTiles()}getImages(w,B){return a._(this,void 0,void 0,function*(){let Q=yield this.imageManager.getImages(B.icons);this._updateTilesForChangedImages();let ee=this.sourceCaches[B.source];return ee&&ee.setDependencies(B.tileID.key,B.type,B.icons),Q})}getGlyphs(w,B){return a._(this,void 0,void 0,function*(){let Q=yield this.glyphManager.getGlyphs(B.stacks),ee=this.sourceCaches[B.source];return ee&&ee.setDependencies(B.tileID.key,B.type,[\"\"]),Q})}getGlyphsUrl(){return this.stylesheet.glyphs||null}setGlyphs(w,B={}){this._checkLoaded(),w&&this._validate(a.u.glyphs,\"glyphs\",w,null,B)||(this._glyphsDidChange=!0,this.stylesheet.glyphs=w,this.glyphManager.entries={},this.glyphManager.setURL(w))}addSprite(w,B,Q={},ee){this._checkLoaded();let le=[{id:w,url:B}],qe=[...C(this.stylesheet.sprite),...le];this._validate(a.u.sprite,\"sprite\",qe,null,Q)||(this.stylesheet.sprite=qe,this._loadSprite(le,!0,ee))}removeSprite(w){this._checkLoaded();let B=C(this.stylesheet.sprite);if(B.find(Q=>Q.id===w)){if(this._spritesImagesIds[w])for(let Q of this._spritesImagesIds[w])this.imageManager.removeImage(Q),this._changedImages[Q]=!0;B.splice(B.findIndex(Q=>Q.id===w),1),this.stylesheet.sprite=B.length>0?B:void 0,delete this._spritesImagesIds[w],this._availableImages=this.imageManager.listImages(),this._changed=!0,this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new a.k(\"data\",{dataType:\"style\"}))}else this.fire(new a.j(new Error(`Sprite \"${w}\" doesn't exists on this map.`)))}getSprite(){return C(this.stylesheet.sprite)}setSprite(w,B={},Q){this._checkLoaded(),w&&this._validate(a.u.sprite,\"sprite\",w,null,B)||(this.stylesheet.sprite=w,w?this._loadSprite(w,!0,Q):(this._unloadSprite(),Q&&Q(null)))}}var vo=a.Y([{name:\"a_pos\",type:\"Int16\",components:2}]);let jn={prelude:Mt(`#ifdef GL_ES\n",
       "precision mediump float;\n",
       "#else\n",
       "#if !defined(lowp)\n",
       "#define lowp\n",
       "#endif\n",
       "#if !defined(mediump)\n",
       "#define mediump\n",
       "#endif\n",
       "#if !defined(highp)\n",
       "#define highp\n",
       "#endif\n",
       "#endif\n",
       "`,`#ifdef GL_ES\n",
       "precision 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\n",
       "vec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\n",
       ");}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\n",
       "#ifdef TERRAIN3D\n",
       "uniform sampler2D u_terrain;uniform float u_terrain_dim;uniform mat4 u_terrain_matrix;uniform vec4 u_terrain_unpack;uniform float u_terrain_exaggeration;uniform highp sampler2D u_depth;\n",
       "#endif\n",
       "const highp vec4 bitSh=vec4(256.*256.*256.,256.*256.,256.,1.);const highp vec4 bitShifts=vec4(1.)/bitSh;highp float unpack(highp vec4 color) {return dot(color,bitShifts);}highp float depthOpacity(vec3 frag) {\n",
       "#ifdef TERRAIN3D\n",
       "highp float d=unpack(texture2D(u_depth,frag.xy*0.5+0.5))+0.0001-frag.z;return 1.0-max(0.0,min(1.0,-d*500.0));\n",
       "#else\n",
       "return 1.0;\n",
       "#endif\n",
       "}float calculate_visibility(vec4 pos) {\n",
       "#ifdef TERRAIN3D\n",
       "vec3 frag=pos.xyz/pos.w;highp float d=depthOpacity(frag);if (d > 0.95) return 1.0;return (d+depthOpacity(frag+vec3(0.0,0.01,0.0)))/2.0;\n",
       "#else\n",
       "return 1.0;\n",
       "#endif\n",
       "}float ele(vec2 pos) {\n",
       "#ifdef TERRAIN3D\n",
       "vec4 rgb=(texture2D(u_terrain,pos)*255.0)*u_terrain_unpack;return rgb.r+rgb.g+rgb.b-u_terrain_unpack.a;\n",
       "#else\n",
       "return 0.0;\n",
       "#endif\n",
       "}float get_elevation(vec2 pos) {\n",
       "#ifdef TERRAIN3D\n",
       "vec2 coord=(u_terrain_matrix*vec4(pos,0.0,1.0)).xy*u_terrain_dim+1.0;vec2 f=fract(coord);vec2 c=(floor(coord)+0.5)/(u_terrain_dim+2.0);float d=1.0/(u_terrain_dim+2.0);float tl=ele(c);float tr=ele(c+vec2(d,0.0));float bl=ele(c+vec2(0.0,d));float br=ele(c+vec2(d,d));float elevation=mix(mix(tl,tr,f.x),mix(bl,br,f.x),f.y);return elevation*u_terrain_exaggeration;\n",
       "#else\n",
       "return 0.0;\n",
       "#endif\n",
       "}`),background:Mt(`uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\n",
       "#ifdef OVERDRAW_INSPECTOR\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),backgroundPattern:Mt(`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\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),circle:Mt(`varying vec3 v_data;varying float v_visibility;\n",
       "#pragma mapbox: define highp vec4 color\n",
       "#pragma mapbox: define mediump float radius\n",
       "#pragma mapbox: define lowp float blur\n",
       "#pragma mapbox: define lowp float opacity\n",
       "#pragma mapbox: define highp vec4 stroke_color\n",
       "#pragma mapbox: define mediump float stroke_width\n",
       "#pragma mapbox: define lowp float stroke_opacity\n",
       "void 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\n",
       "vec2 extrude=v_data.xy;float extrude_length=length(extrude);float antialiased_blur=v_data.z;float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=v_visibility*opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\n",
       "#ifdef OVERDRAW_INSPECTOR\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,`uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;varying float v_visibility;\n",
       "#pragma mapbox: define highp vec4 color\n",
       "#pragma mapbox: define mediump float radius\n",
       "#pragma mapbox: define lowp float blur\n",
       "#pragma mapbox: define lowp float opacity\n",
       "#pragma mapbox: define highp vec4 stroke_color\n",
       "#pragma mapbox: define mediump float stroke_width\n",
       "#pragma mapbox: define lowp float stroke_opacity\n",
       "void 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\n",
       "vec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);float ele=get_elevation(circle_center);v_visibility=calculate_visibility(u_matrix*vec4(circle_center,ele,1.0));if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,ele,1);} else {gl_Position=u_matrix*vec4(circle_center,ele,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}float antialiasblur=-max(1.0/u_device_pixel_ratio/(radius+stroke_width),blur);v_data=vec3(extrude.x,extrude.y,antialiasblur);}`),clippingMask:Mt(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),heatmap:Mt(`uniform highp float u_intensity;varying vec2 v_extrude;\n",
       "#pragma mapbox: define highp float weight\n",
       "#define GAUSS_COEF 0.3989422804014327\n",
       "void main() {\n",
       "#pragma mapbox: initialize highp float weight\n",
       "float 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\n",
       "gl_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\n",
       "const highp float ZERO=1.0/255.0/16.0;\n",
       "#define GAUSS_COEF 0.3989422804014327\n",
       "void main(void) {\n",
       "#pragma mapbox: initialize highp float weight\n",
       "#pragma mapbox: initialize mediump float radius\n",
       "vec2 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,get_elevation(floor(a_pos*0.5)),1);gl_Position=u_matrix*pos;}`),heatmapTexture:Mt(`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\n",
       "gl_FragColor=vec4(0.0);\n",
       "#endif\n",
       "}`,\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),collisionBox:Mt(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_anchor_pos;attribute vec2 a_placed;attribute vec2 a_box_real;uniform mat4 u_matrix;uniform vec2 u_pixel_extrude_scale;varying float v_placed;varying float v_notUsed;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}void main() {gl_Position=projectTileWithElevation(a_anchor_pos,get_elevation(a_anchor_pos));gl_Position.xy=((a_box_real+0.5)*u_pixel_extrude_scale*2.0-1.0)*vec2(1.0,-1.0)*gl_Position.w;if (gl_Position.z/gl_Position.w < 1.1) {gl_Position.z=0.5;}v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),collisionCircle:Mt(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),debug:Mt(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,get_elevation(a_pos),1);}\"),fill:Mt(`#pragma mapbox: define highp vec4 color\n",
       "#pragma mapbox: define lowp float opacity\n",
       "void main() {\n",
       "#pragma mapbox: initialize highp vec4 color\n",
       "#pragma mapbox: initialize lowp float opacity\n",
       "gl_FragColor=color*opacity;\n",
       "#ifdef OVERDRAW_INSPECTOR\n",
       "gl_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\n",
       "void main() {\n",
       "#pragma mapbox: initialize highp vec4 color\n",
       "#pragma mapbox: initialize lowp float opacity\n",
       "gl_Position=u_matrix*vec4(a_pos,0,1);}`),fillOutline:Mt(`varying vec2 v_pos;\n",
       "#pragma mapbox: define highp vec4 outline_color\n",
       "#pragma mapbox: define lowp float opacity\n",
       "void main() {\n",
       "#pragma mapbox: initialize highp vec4 outline_color\n",
       "#pragma mapbox: initialize lowp float opacity\n",
       "float 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\n",
       "gl_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\n",
       "void main() {\n",
       "#pragma mapbox: initialize highp vec4 outline_color\n",
       "#pragma mapbox: initialize lowp float opacity\n",
       "gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}`),fillOutlinePattern:Mt(`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\n",
       "void 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",
       "vec2 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\n",
       "gl_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\n",
       "void 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\n",
       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}`),fillPattern:Mt(`#ifdef GL_ES\n",
       "precision highp float;\n",
       "#endif\n",
       "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\n",
       "void 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",
       "vec2 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\n",
       "gl_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\n",
       "void 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\n",
       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}`),fillExtrusion:Mt(`varying vec4 v_color;void main() {gl_FragColor=v_color;\n",
       "#ifdef OVERDRAW_INSPECTOR\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,`uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;\n",
       "#ifdef TERRAIN3D\n",
       "attribute vec2 a_centroid;\n",
       "#endif\n",
       "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\n",
       "void main() {\n",
       "#pragma mapbox: initialize highp float base\n",
       "#pragma mapbox: initialize highp float height\n",
       "#pragma mapbox: initialize highp vec4 color\n",
       "vec3 normal=a_normal_ed.xyz;\n",
       "#ifdef TERRAIN3D\n",
       "float height_terrain3d_offset=get_elevation(a_centroid);float base_terrain3d_offset=height_terrain3d_offset-(base > 0.0 ? 0.0 : 10.0);\n",
       "#else\n",
       "float height_terrain3d_offset=0.0;float base_terrain3d_offset=0.0;\n",
       "#endif\n",
       "base=max(0.0,base)+base_terrain3d_offset;height=max(0.0,height)+height_terrain3d_offset;float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}`),fillExtrusionPattern:Mt(`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\n",
       "void 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\n",
       "vec2 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\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,`uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;\n",
       "#ifdef TERRAIN3D\n",
       "attribute vec2 a_centroid;\n",
       "#endif\n",
       "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\n",
       "void 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\n",
       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;\n",
       "#ifdef TERRAIN3D\n",
       "float height_terrain3d_offset=get_elevation(a_centroid);float base_terrain3d_offset=height_terrain3d_offset-(base > 0.0 ? 0.0 : 10.0);\n",
       "#else\n",
       "float height_terrain3d_offset=0.0;float base_terrain3d_offset=0.0;\n",
       "#endif\n",
       "base=max(0.0,base)+base_terrain3d_offset;height=max(0.0,height)+height_terrain3d_offset;float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\n",
       "? a_pos\n",
       ": vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}`),hillshadePrepare:Mt(`#ifdef GL_ES\n",
       "precision highp float;\n",
       "#endif\n",
       "uniform 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\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),hillshade:Mt(`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\n",
       "void 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\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),line:Mt(`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\n",
       "void main() {\n",
       "#pragma mapbox: initialize highp vec4 color\n",
       "#pragma mapbox: initialize lowp float blur\n",
       "#pragma mapbox: initialize lowp float opacity\n",
       "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);gl_FragColor=color*(alpha*opacity);\n",
       "#ifdef OVERDRAW_INSPECTOR\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,`\n",
       "#define scale 0.015873016\n",
       "attribute 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\n",
       "void 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",
       "float ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;\n",
       "#ifdef TERRAIN3D\n",
       "v_gamma_scale=1.0;\n",
       "#else\n",
       "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;\n",
       "#endif\n",
       "v_width2=vec2(outset,inset);}`),lineGradient:Mt(`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\n",
       "void main() {\n",
       "#pragma mapbox: initialize lowp float blur\n",
       "#pragma mapbox: initialize lowp float opacity\n",
       "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);vec4 color=texture2D(u_image,v_uv);gl_FragColor=color*(alpha*opacity);\n",
       "#ifdef OVERDRAW_INSPECTOR\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,`\n",
       "#define scale 0.015873016\n",
       "attribute 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\n",
       "void 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\n",
       "float ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;highp float texel_height=1.0/u_image_height;highp float half_texel_height=0.5*texel_height;v_uv=vec2(a_uv_x,a_split_index*texel_height-half_texel_height);vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;\n",
       "#ifdef TERRAIN3D\n",
       "v_gamma_scale=1.0;\n",
       "#else\n",
       "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;\n",
       "#endif\n",
       "v_width2=vec2(outset,inset);}`),linePattern:Mt(`#ifdef GL_ES\n",
       "precision highp float;\n",
       "#endif\n",
       "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\n",
       "void 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\n",
       "vec2 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\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,`\n",
       "#define scale 0.015873016\n",
       "#define LINE_DISTANCE_SCALE 2.0\n",
       "attribute 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\n",
       "void 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\n",
       "float ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;\n",
       "#ifdef TERRAIN3D\n",
       "v_gamma_scale=1.0;\n",
       "#else\n",
       "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;\n",
       "#endif\n",
       "v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}`),lineSDF:Mt(`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\n",
       "void 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\n",
       "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 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\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,`\n",
       "#define scale 0.015873016\n",
       "#define LINE_DISTANCE_SCALE 2.0\n",
       "attribute 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\n",
       "void 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\n",
       "float ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;\n",
       "#ifdef TERRAIN3D\n",
       "v_gamma_scale=1.0;\n",
       "#else\n",
       "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;\n",
       "#endif\n",
       "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);}`),raster:Mt(`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\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),symbolIcon:Mt(`uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\n",
       "#pragma mapbox: define lowp float opacity\n",
       "void main() {\n",
       "#pragma mapbox: initialize lowp float opacity\n",
       "lowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\n",
       "#ifdef OVERDRAW_INSPECTOR\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,`attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;uniform bool u_is_along_line;uniform bool u_is_variable_anchor;uniform vec2 u_translation;uniform float u_pitched_scale;varying vec2 v_tex;varying float v_fade_opacity;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}\n",
       "#pragma mapbox: define lowp float opacity\n",
       "void main() {\n",
       "#pragma mapbox: initialize lowp float opacity\n",
       "vec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;float ele=get_elevation(a_pos);highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec2 translated_a_pos=a_pos+u_translation;vec4 projectedPoint=projectTileWithElevation(translated_a_pos,ele);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\n",
       "camera_to_anchor_distance/u_camera_to_center_distance :\n",
       "u_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=projectTileWithElevation(translated_a_pos+vec2(1,0),ele);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos;if (u_is_along_line || u_is_variable_anchor) {projected_pos=vec4(a_projected_pos.xy,ele,1.0);} else if (u_pitch_with_map) {projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy+u_translation,ele,1.0);} else {projected_pos=u_label_plane_matrix*projectTileWithElevation(a_projected_pos.xy+u_translation,ele);}float z=float(u_pitch_with_map)*projected_pos.z/projected_pos.w;float projectionScaling=1.0;vec4 finalPos=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0)*projectionScaling,z,1.0);if(u_pitch_with_map) {finalPos=projectTileWithElevation(finalPos.xy,finalPos.z);}gl_Position=finalPos;v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float visibility=calculate_visibility(projectedPoint);v_fade_opacity=max(0.0,min(visibility,fade_opacity[0]+fade_change));}`),symbolSDF:Mt(`#define SDF_PX 8.0\n",
       "uniform 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\n",
       "void 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\n",
       "float EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float inner_edge=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);inner_edge=inner_edge+gamma*gamma_scale;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(inner_edge-gamma_scaled,inner_edge+gamma_scaled,dist);if (u_is_halo) {lowp float halo_edge=(6.0-halo_width/fontScale)/SDF_PX;alpha=min(smoothstep(halo_edge-gamma_scaled,halo_edge+gamma_scaled,dist),1.0-alpha);}gl_FragColor=color*(alpha*opacity*fade_opacity);\n",
       "#ifdef OVERDRAW_INSPECTOR\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,`attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform bool u_is_along_line;uniform bool u_is_variable_anchor;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_translation;uniform float u_pitched_scale;varying vec2 v_data0;varying vec3 v_data1;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}\n",
       "#pragma mapbox: define highp vec4 fill_color\n",
       "#pragma mapbox: define highp vec4 halo_color\n",
       "#pragma mapbox: define lowp float opacity\n",
       "#pragma mapbox: define lowp float halo_width\n",
       "#pragma mapbox: define lowp float halo_blur\n",
       "void 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\n",
       "vec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;float ele=get_elevation(a_pos);highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec2 translated_a_pos=a_pos+u_translation;vec4 projectedPoint=projectTileWithElevation(translated_a_pos,ele);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\n",
       "camera_to_anchor_distance/u_camera_to_center_distance :\n",
       "u_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=projectTileWithElevation(translated_a_pos+vec2(1,0),ele);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos;if (u_is_along_line || u_is_variable_anchor) {projected_pos=vec4(a_projected_pos.xy,ele,1.0);} else if (u_pitch_with_map) {projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy+u_translation,ele,1.0);} else {projected_pos=u_label_plane_matrix*projectTileWithElevation(a_projected_pos.xy+u_translation,ele);}float z=float(u_pitch_with_map)*projected_pos.z/projected_pos.w;float projectionScaling=1.0;vec4 finalPos=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset)*projectionScaling,z,1.0);if(u_pitch_with_map) {finalPos=projectTileWithElevation(finalPos.xy,finalPos.z);}float gamma_scale=finalPos.w;gl_Position=finalPos;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float visibility=calculate_visibility(projectedPoint);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(visibility,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}`),symbolTextAndIcon:Mt(`#define SDF_PX 8.0\n",
       "#define SDF 1.0\n",
       "#define ICON 0.0\n",
       "uniform 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\n",
       "void 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\n",
       "float 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\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "return;}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\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,`attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;uniform bool u_is_along_line;uniform bool u_is_variable_anchor;uniform vec2 u_translation;uniform float u_pitched_scale;varying vec4 v_data0;varying vec4 v_data1;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}\n",
       "#pragma mapbox: define highp vec4 fill_color\n",
       "#pragma mapbox: define highp vec4 halo_color\n",
       "#pragma mapbox: define lowp float opacity\n",
       "#pragma mapbox: define lowp float halo_width\n",
       "#pragma mapbox: define lowp float halo_blur\n",
       "void 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\n",
       "vec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;float ele=get_elevation(a_pos);highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec2 translated_a_pos=a_pos+u_translation;vec4 projectedPoint=projectTileWithElevation(translated_a_pos,ele);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\n",
       "camera_to_anchor_distance/u_camera_to_center_distance :\n",
       "u_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=projectTileWithElevation(translated_a_pos+vec2(1,0),ele);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos;if (u_is_along_line || u_is_variable_anchor) {projected_pos=vec4(a_projected_pos.xy,ele,1.0);} else if (u_pitch_with_map) {projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy+u_translation,ele,1.0);} else {projected_pos=u_label_plane_matrix*projectTileWithElevation(a_projected_pos.xy+u_translation,ele);}float z=float(u_pitch_with_map)*projected_pos.z/projected_pos.w;float projectionScaling=1.0;vec4 finalPos=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale)*projectionScaling,z,1.0);if(u_pitch_with_map) {finalPos=projectTileWithElevation(finalPos.xy,finalPos.z);}float gamma_scale=finalPos.w;gl_Position=finalPos;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float visibility=calculate_visibility(projectedPoint);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(visibility,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}`),terrain:Mt(\"uniform sampler2D u_texture;uniform vec4 u_fog_color;uniform vec4 u_horizon_color;uniform float u_fog_ground_blend;uniform float u_fog_ground_blend_opacity;uniform float u_horizon_fog_blend;varying vec2 v_texture_pos;varying float v_fog_depth;const float gamma=2.2;vec4 gammaToLinear(vec4 color) {return pow(color,vec4(gamma));}vec4 linearToGamma(vec4 color) {return pow(color,vec4(1.0/gamma));}void main() {vec4 surface_color=texture2D(u_texture,v_texture_pos);if (v_fog_depth > u_fog_ground_blend) {vec4 surface_color_linear=gammaToLinear(surface_color);float blend_color=smoothstep(0.0,1.0,max((v_fog_depth-u_horizon_fog_blend)/(1.0-u_horizon_fog_blend),0.0));vec4 fog_horizon_color_linear=mix(gammaToLinear(u_fog_color),gammaToLinear(u_horizon_color),blend_color);float factor_fog=max(v_fog_depth-u_fog_ground_blend,0.0)/(1.0-u_fog_ground_blend);gl_FragColor=linearToGamma(mix(surface_color_linear,fog_horizon_color_linear,pow(factor_fog,2.0)*u_fog_ground_blend_opacity));} else {gl_FragColor=surface_color;}}\",\"attribute vec3 a_pos3d;uniform mat4 u_matrix;uniform mat4 u_fog_matrix;uniform float u_ele_delta;varying vec2 v_texture_pos;varying float v_fog_depth;void main() {float ele=get_elevation(a_pos3d.xy);float ele_delta=a_pos3d.z==1.0 ? u_ele_delta : 0.0;v_texture_pos=a_pos3d.xy/8192.0;gl_Position=u_matrix*vec4(a_pos3d.xy,ele-ele_delta,1.0);vec4 pos=u_fog_matrix*vec4(a_pos3d.xy,ele,1.0);v_fog_depth=pos.z/pos.w*0.5+0.5;}\"),terrainDepth:Mt(\"varying float v_depth;const highp vec4 bitSh=vec4(256.*256.*256.,256.*256.,256.,1.);const highp vec4 bitMsk=vec4(0.,vec3(1./256.0));highp vec4 pack(highp float value) {highp vec4 comp=fract(value*bitSh);comp-=comp.xxyz*bitMsk;return comp;}void main() {gl_FragColor=pack(v_depth);}\",\"attribute vec3 a_pos3d;uniform mat4 u_matrix;uniform float u_ele_delta;varying float v_depth;void main() {float ele=get_elevation(a_pos3d.xy);float ele_delta=a_pos3d.z==1.0 ? u_ele_delta : 0.0;gl_Position=u_matrix*vec4(a_pos3d.xy,ele-ele_delta,1.0);v_depth=gl_Position.z/gl_Position.w;}\"),terrainCoords:Mt(\"precision mediump float;uniform sampler2D u_texture;uniform float u_terrain_coords_id;varying vec2 v_texture_pos;void main() {vec4 rgba=texture2D(u_texture,v_texture_pos);gl_FragColor=vec4(rgba.r,rgba.g,rgba.b,u_terrain_coords_id);}\",\"attribute vec3 a_pos3d;uniform mat4 u_matrix;uniform float u_ele_delta;varying vec2 v_texture_pos;void main() {float ele=get_elevation(a_pos3d.xy);float ele_delta=a_pos3d.z==1.0 ? u_ele_delta : 0.0;v_texture_pos=a_pos3d.xy/8192.0;gl_Position=u_matrix*vec4(a_pos3d.xy,ele-ele_delta,1.0);}\"),sky:Mt(\"uniform vec4 u_sky_color;uniform vec4 u_horizon_color;uniform float u_horizon;uniform float u_sky_horizon_blend;void main() {float y=gl_FragCoord.y;if (y > u_horizon) {float blend=y-u_horizon;if (blend < u_sky_horizon_blend) {gl_FragColor=mix(u_sky_color,u_horizon_color,pow(1.0-blend/u_sky_horizon_blend,2.0));} else {gl_FragColor=u_sky_color;}}}\",\"attribute vec2 a_pos;void main() {gl_Position=vec4(a_pos,1.0,1.0);}\")};function Mt(ue,w){let B=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,Q=w.match(/attribute ([\\w]+) ([\\w]+)/g),ee=ue.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),le=w.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),qe=le?le.concat(ee):ee,Xe={};return{fragmentSource:ue=ue.replace(B,(ot,Tt,Yt,Kt,xr)=>(Xe[xr]=!0,Tt===\"define\"?`\n",
       "#ifndef HAS_UNIFORM_u_${xr}\n",
       "varying ${Yt} ${Kt} ${xr};\n",
       "#else\n",
       "uniform ${Yt} ${Kt} u_${xr};\n",
       "#endif\n",
       "`:`\n",
       "#ifdef HAS_UNIFORM_u_${xr}\n",
       "    ${Yt} ${Kt} ${xr} = u_${xr};\n",
       "#endif\n",
       "`)),vertexSource:w=w.replace(B,(ot,Tt,Yt,Kt,xr)=>{let Ir=Kt===\"float\"?\"vec2\":\"vec4\",ve=xr.match(/color/)?\"color\":Ir;return Xe[xr]?Tt===\"define\"?`\n",
       "#ifndef HAS_UNIFORM_u_${xr}\n",
       "uniform lowp float u_${xr}_t;\n",
       "attribute ${Yt} ${Ir} a_${xr};\n",
       "varying ${Yt} ${Kt} ${xr};\n",
       "#else\n",
       "uniform ${Yt} ${Kt} u_${xr};\n",
       "#endif\n",
       "`:ve===\"vec4\"?`\n",
       "#ifndef HAS_UNIFORM_u_${xr}\n",
       "    ${xr} = a_${xr};\n",
       "#else\n",
       "    ${Yt} ${Kt} ${xr} = u_${xr};\n",
       "#endif\n",
       "`:`\n",
       "#ifndef HAS_UNIFORM_u_${xr}\n",
       "    ${xr} = unpack_mix_${ve}(a_${xr}, u_${xr}_t);\n",
       "#else\n",
       "    ${Yt} ${Kt} ${xr} = u_${xr};\n",
       "#endif\n",
       "`:Tt===\"define\"?`\n",
       "#ifndef HAS_UNIFORM_u_${xr}\n",
       "uniform lowp float u_${xr}_t;\n",
       "attribute ${Yt} ${Ir} a_${xr};\n",
       "#else\n",
       "uniform ${Yt} ${Kt} u_${xr};\n",
       "#endif\n",
       "`:ve===\"vec4\"?`\n",
       "#ifndef HAS_UNIFORM_u_${xr}\n",
       "    ${Yt} ${Kt} ${xr} = a_${xr};\n",
       "#else\n",
       "    ${Yt} ${Kt} ${xr} = u_${xr};\n",
       "#endif\n",
       "`:`\n",
       "#ifndef HAS_UNIFORM_u_${xr}\n",
       "    ${Yt} ${Kt} ${xr} = unpack_mix_${ve}(a_${xr}, u_${xr}_t);\n",
       "#else\n",
       "    ${Yt} ${Kt} ${xr} = u_${xr};\n",
       "#endif\n",
       "`}),staticAttributes:Q,staticUniforms:qe}}class kr{constructor(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null}bind(w,B,Q,ee,le,qe,Xe,ot,Tt){this.context=w;let Yt=this.boundPaintVertexBuffers.length!==ee.length;for(let Kt=0;!Yt&&Kt<ee.length;Kt++)this.boundPaintVertexBuffers[Kt]!==ee[Kt]&&(Yt=!0);!this.vao||this.boundProgram!==B||this.boundLayoutVertexBuffer!==Q||Yt||this.boundIndexBuffer!==le||this.boundVertexOffset!==qe||this.boundDynamicVertexBuffer!==Xe||this.boundDynamicVertexBuffer2!==ot||this.boundDynamicVertexBuffer3!==Tt?this.freshBind(B,Q,ee,le,qe,Xe,ot,Tt):(w.bindVertexArray.set(this.vao),Xe&&Xe.bind(),le&&le.dynamicDraw&&le.bind(),ot&&ot.bind(),Tt&&Tt.bind())}freshBind(w,B,Q,ee,le,qe,Xe,ot){let Tt=w.numAttributes,Yt=this.context,Kt=Yt.gl;this.vao&&this.destroy(),this.vao=Yt.createVertexArray(),Yt.bindVertexArray.set(this.vao),this.boundProgram=w,this.boundLayoutVertexBuffer=B,this.boundPaintVertexBuffers=Q,this.boundIndexBuffer=ee,this.boundVertexOffset=le,this.boundDynamicVertexBuffer=qe,this.boundDynamicVertexBuffer2=Xe,this.boundDynamicVertexBuffer3=ot,B.enableAttributes(Kt,w);for(let xr of Q)xr.enableAttributes(Kt,w);qe&&qe.enableAttributes(Kt,w),Xe&&Xe.enableAttributes(Kt,w),ot&&ot.enableAttributes(Kt,w),B.bind(),B.setVertexAttribPointers(Kt,w,le);for(let xr of Q)xr.bind(),xr.setVertexAttribPointers(Kt,w,le);qe&&(qe.bind(),qe.setVertexAttribPointers(Kt,w,le)),ee&&ee.bind(),Xe&&(Xe.bind(),Xe.setVertexAttribPointers(Kt,w,le)),ot&&(ot.bind(),ot.setVertexAttribPointers(Kt,w,le)),Yt.currentNumAttributes=Tt}destroy(){this.vao&&(this.context.deleteVertexArray(this.vao),this.vao=null)}}let Jr=(ue,w,B,Q,ee)=>({u_matrix:ue,u_texture:0,u_ele_delta:w,u_fog_matrix:B,u_fog_color:Q?Q.properties.get(\"fog-color\"):a.aM.white,u_fog_ground_blend:Q?Q.properties.get(\"fog-ground-blend\"):1,u_fog_ground_blend_opacity:Q?Q.calculateFogBlendOpacity(ee):0,u_horizon_color:Q?Q.properties.get(\"horizon-color\"):a.aM.white,u_horizon_fog_blend:Q?Q.properties.get(\"horizon-fog-blend\"):1});function vi(ue){let w=[];for(let B=0;B<ue.length;B++){if(ue[B]===null)continue;let Q=ue[B].split(\" \");w.push(Q.pop())}return w}class hn{constructor(w,B,Q,ee,le,qe){let Xe=w.gl;this.program=Xe.createProgram();let ot=vi(B.staticAttributes),Tt=Q?Q.getBinderAttributes():[],Yt=ot.concat(Tt),Kt=jn.prelude.staticUniforms?vi(jn.prelude.staticUniforms):[],xr=B.staticUniforms?vi(B.staticUniforms):[],Ir=Q?Q.getBinderUniforms():[],ve=Kt.concat(xr).concat(Ir),be=[];for(let Ht of ve)be.indexOf(Ht)<0&&be.push(Ht);let De=Q?Q.defines():[];le&&De.push(\"#define OVERDRAW_INSPECTOR;\"),qe&&De.push(\"#define TERRAIN3D;\");let Be=De.concat(jn.prelude.fragmentSource,B.fragmentSource).join(`\n",
       "`),et=De.concat(jn.prelude.vertexSource,B.vertexSource).join(`\n",
       "`),We=Xe.createShader(Xe.FRAGMENT_SHADER);if(Xe.isContextLost())return void(this.failedToCreate=!0);if(Xe.shaderSource(We,Be),Xe.compileShader(We),!Xe.getShaderParameter(We,Xe.COMPILE_STATUS))throw new Error(`Could not compile fragment shader: ${Xe.getShaderInfoLog(We)}`);Xe.attachShader(this.program,We);let it=Xe.createShader(Xe.VERTEX_SHADER);if(Xe.isContextLost())return void(this.failedToCreate=!0);if(Xe.shaderSource(it,et),Xe.compileShader(it),!Xe.getShaderParameter(it,Xe.COMPILE_STATUS))throw new Error(`Could not compile vertex shader: ${Xe.getShaderInfoLog(it)}`);Xe.attachShader(this.program,it),this.attributes={};let Ft={};this.numAttributes=Yt.length;for(let Ht=0;Ht<this.numAttributes;Ht++)Yt[Ht]&&(Xe.bindAttribLocation(this.program,Ht,Yt[Ht]),this.attributes[Yt[Ht]]=Ht);if(Xe.linkProgram(this.program),!Xe.getProgramParameter(this.program,Xe.LINK_STATUS))throw new Error(`Program failed to link: ${Xe.getProgramInfoLog(this.program)}`);Xe.deleteShader(it),Xe.deleteShader(We);for(let Ht=0;Ht<be.length;Ht++){let tr=be[Ht];if(tr&&!Ft[tr]){let dr=Xe.getUniformLocation(this.program,tr);dr&&(Ft[tr]=dr)}}this.fixedUniforms=ee(w,Ft),this.terrainUniforms=((Ht,tr)=>({u_depth:new a.aH(Ht,tr.u_depth),u_terrain:new a.aH(Ht,tr.u_terrain),u_terrain_dim:new a.aI(Ht,tr.u_terrain_dim),u_terrain_matrix:new a.aJ(Ht,tr.u_terrain_matrix),u_terrain_unpack:new a.aK(Ht,tr.u_terrain_unpack),u_terrain_exaggeration:new a.aI(Ht,tr.u_terrain_exaggeration)}))(w,Ft),this.binderUniforms=Q?Q.getUniforms(w,Ft):[]}draw(w,B,Q,ee,le,qe,Xe,ot,Tt,Yt,Kt,xr,Ir,ve,be,De,Be,et){let We=w.gl;if(this.failedToCreate)return;if(w.program.set(this.program),w.setDepthMode(Q),w.setStencilMode(ee),w.setColorMode(le),w.setCullFace(qe),ot){w.activeTexture.set(We.TEXTURE2),We.bindTexture(We.TEXTURE_2D,ot.depthTexture),w.activeTexture.set(We.TEXTURE3),We.bindTexture(We.TEXTURE_2D,ot.texture);for(let Ft in this.terrainUniforms)this.terrainUniforms[Ft].set(ot[Ft])}for(let Ft in this.fixedUniforms)this.fixedUniforms[Ft].set(Xe[Ft]);be&&be.setUniforms(w,this.binderUniforms,Ir,{zoom:ve});let it=0;switch(B){case We.LINES:it=2;break;case We.TRIANGLES:it=3;break;case We.LINE_STRIP:it=1}for(let Ft of xr.get()){let Ht=Ft.vaos||(Ft.vaos={});(Ht[Tt]||(Ht[Tt]=new kr)).bind(w,this,Yt,be?be.getPaintVertexBuffers():[],Kt,Ft.vertexOffset,De,Be,et),We.drawElements(B,Ft.primitiveLength*it,We.UNSIGNED_SHORT,Ft.primitiveOffset*it*2)}}}function An(ue,w,B){let Q=1/In(B,1,w.transform.tileZoom),ee=Math.pow(2,B.tileID.overscaledZ),le=B.tileSize*Math.pow(2,w.transform.tileZoom)/ee,qe=le*(B.tileID.canonical.x+B.tileID.wrap*ee),Xe=le*B.tileID.canonical.y;return{u_image:0,u_texsize:B.imageAtlasTexture.size,u_scale:[Q,ue.fromScale,ue.toScale],u_fade:ue.t,u_pixel_coord_upper:[qe>>16,Xe>>16],u_pixel_coord_lower:[65535&qe,65535&Xe]}}let Mn=(ue,w,B,Q)=>{let ee=w.style.light,le=ee.properties.get(\"position\"),qe=[le.x,le.y,le.z],Xe=function(){var Tt=new a.A(9);return a.A!=Float32Array&&(Tt[1]=0,Tt[2]=0,Tt[3]=0,Tt[5]=0,Tt[6]=0,Tt[7]=0),Tt[0]=1,Tt[4]=1,Tt[8]=1,Tt}();ee.properties.get(\"anchor\")===\"viewport\"&&function(Tt,Yt){var Kt=Math.sin(Yt),xr=Math.cos(Yt);Tt[0]=xr,Tt[1]=Kt,Tt[2]=0,Tt[3]=-Kt,Tt[4]=xr,Tt[5]=0,Tt[6]=0,Tt[7]=0,Tt[8]=1}(Xe,-w.transform.angle),function(Tt,Yt,Kt){var xr=Yt[0],Ir=Yt[1],ve=Yt[2];Tt[0]=xr*Kt[0]+Ir*Kt[3]+ve*Kt[6],Tt[1]=xr*Kt[1]+Ir*Kt[4]+ve*Kt[7],Tt[2]=xr*Kt[2]+Ir*Kt[5]+ve*Kt[8]}(qe,qe,Xe);let ot=ee.properties.get(\"color\");return{u_matrix:ue,u_lightpos:qe,u_lightintensity:ee.properties.get(\"intensity\"),u_lightcolor:[ot.r,ot.g,ot.b],u_vertical_gradient:+B,u_opacity:Q}},Li=(ue,w,B,Q,ee,le,qe)=>a.e(Mn(ue,w,B,Q),An(le,w,qe),{u_height_factor:-Math.pow(2,ee.overscaledZ)/qe.tileSize/8}),_n=ue=>({u_matrix:ue}),ya=(ue,w,B,Q)=>a.e(_n(ue),An(B,w,Q)),Jn=(ue,w)=>({u_matrix:ue,u_world:w}),Ma=(ue,w,B,Q,ee)=>a.e(ya(ue,w,B,Q),{u_world:ee}),_o=(ue,w,B,Q)=>{let ee=ue.transform,le,qe;if(Q.paint.get(\"circle-pitch-alignment\")===\"map\"){let Xe=In(B,1,ee.zoom);le=!0,qe=[Xe,Xe]}else le=!1,qe=ee.pixelsToGLUnits;return{u_camera_to_center_distance:ee.cameraToCenterDistance,u_scale_with_map:+(Q.paint.get(\"circle-pitch-scale\")===\"map\"),u_matrix:ue.translatePosMatrix(w.posMatrix,B,Q.paint.get(\"circle-translate\"),Q.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+le,u_device_pixel_ratio:ue.pixelRatio,u_extrude_scale:qe}},No=(ue,w,B)=>({u_matrix:ue,u_inv_matrix:w,u_camera_to_center_distance:B.cameraToCenterDistance,u_viewport_size:[B.width,B.height]}),po=(ue,w,B=1)=>({u_matrix:ue,u_color:w,u_overlay:0,u_overlay_scale:B}),Lo=ue=>({u_matrix:ue}),ko=(ue,w,B,Q)=>({u_matrix:ue,u_extrude_scale:In(w,1,B),u_intensity:Q}),Ds=(ue,w,B,Q)=>{let ee=a.H();a.aP(ee,0,ue.width,ue.height,0,0,1);let le=ue.context.gl;return{u_matrix:ee,u_world:[le.drawingBufferWidth,le.drawingBufferHeight],u_image:B,u_color_ramp:Q,u_opacity:w.paint.get(\"heatmap-opacity\")}};function Fs(ue,w){let B=Math.pow(2,w.canonical.z),Q=w.canonical.y;return[new a.Z(0,Q/B).toLngLat().lat,new a.Z(0,(Q+1)/B).toLngLat().lat]}let ll=(ue,w,B,Q)=>{let ee=ue.transform;return{u_matrix:As(ue,w,B,Q),u_ratio:1/In(w,1,ee.zoom),u_device_pixel_ratio:ue.pixelRatio,u_units_to_pixels:[1/ee.pixelsToGLUnits[0],1/ee.pixelsToGLUnits[1]]}},ul=(ue,w,B,Q,ee)=>a.e(ll(ue,w,B,ee),{u_image:0,u_image_height:Q}),zl=(ue,w,B,Q,ee)=>{let le=ue.transform,qe=il(w,le);return{u_matrix:As(ue,w,B,ee),u_texsize:w.imageAtlasTexture.size,u_ratio:1/In(w,1,le.zoom),u_device_pixel_ratio:ue.pixelRatio,u_image:0,u_scale:[qe,Q.fromScale,Q.toScale],u_fade:Q.t,u_units_to_pixels:[1/le.pixelsToGLUnits[0],1/le.pixelsToGLUnits[1]]}},us=(ue,w,B,Q,ee,le)=>{let qe=ue.lineAtlas,Xe=il(w,ue.transform),ot=B.layout.get(\"line-cap\")===\"round\",Tt=qe.getDash(Q.from,ot),Yt=qe.getDash(Q.to,ot),Kt=Tt.width*ee.fromScale,xr=Yt.width*ee.toScale;return a.e(ll(ue,w,B,le),{u_patternscale_a:[Xe/Kt,-Tt.height/2],u_patternscale_b:[Xe/xr,-Yt.height/2],u_sdfgamma:qe.width/(256*Math.min(Kt,xr)*ue.pixelRatio)/2,u_image:0,u_tex_y_a:Tt.y,u_tex_y_b:Yt.y,u_mix:ee.t})};function il(ue,w){return 1/In(ue,1,w.tileZoom)}function As(ue,w,B,Q){return ue.translatePosMatrix(Q?Q.posMatrix:w.tileID.posMatrix,w,B.paint.get(\"line-translate\"),B.paint.get(\"line-translate-anchor\"))}let cl=(ue,w,B,Q,ee)=>{return{u_matrix:ue,u_tl_parent:w,u_scale_parent:B,u_buffer_scale:1,u_fade_t:Q.mix,u_opacity:Q.opacity*ee.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:ee.paint.get(\"raster-brightness-min\"),u_brightness_high:ee.paint.get(\"raster-brightness-max\"),u_saturation_factor:(qe=ee.paint.get(\"raster-saturation\"),qe>0?1-1/(1.001-qe):-qe),u_contrast_factor:(le=ee.paint.get(\"raster-contrast\"),le>0?1/(1-le):1+le),u_spin_weights:Ks(ee.paint.get(\"raster-hue-rotate\"))};var le,qe};function Ks(ue){ue*=Math.PI/180;let w=Math.sin(ue),B=Math.cos(ue);return[(2*B+1)/3,(-Math.sqrt(3)*w-B+1)/3,(Math.sqrt(3)*w-B+1)/3]}let zs=(ue,w,B,Q,ee,le,qe,Xe,ot,Tt,Yt,Kt,xr,Ir)=>{let ve=qe.transform;return{u_is_size_zoom_constant:+(ue===\"constant\"||ue===\"source\"),u_is_size_feature_constant:+(ue===\"constant\"||ue===\"camera\"),u_size_t:w?w.uSizeT:0,u_size:w?w.uSize:0,u_camera_to_center_distance:ve.cameraToCenterDistance,u_pitch:ve.pitch/360*2*Math.PI,u_rotate_symbol:+B,u_aspect_ratio:ve.width/ve.height,u_fade_change:qe.options.fadeDuration?qe.symbolFadeChange:1,u_matrix:Xe,u_label_plane_matrix:ot,u_coord_matrix:Tt,u_is_text:+Kt,u_pitch_with_map:+Q,u_is_along_line:ee,u_is_variable_anchor:le,u_texsize:xr,u_texture:0,u_translation:Yt,u_pitched_scale:Ir}},Io=(ue,w,B,Q,ee,le,qe,Xe,ot,Tt,Yt,Kt,xr,Ir,ve)=>{let be=qe.transform;return a.e(zs(ue,w,B,Q,ee,le,qe,Xe,ot,Tt,Yt,Kt,xr,ve),{u_gamma_scale:Q?Math.cos(be._pitch)*be.cameraToCenterDistance:1,u_device_pixel_ratio:qe.pixelRatio,u_is_halo:+Ir})},ls=(ue,w,B,Q,ee,le,qe,Xe,ot,Tt,Yt,Kt,xr,Ir)=>a.e(Io(ue,w,B,Q,ee,le,qe,Xe,ot,Tt,Yt,!0,Kt,!0,Ir),{u_texsize_icon:xr,u_texture_icon:1}),Zl=(ue,w,B)=>({u_matrix:ue,u_opacity:w,u_color:B}),Su=(ue,w,B,Q,ee,le)=>a.e(function(qe,Xe,ot,Tt){let Yt=ot.imageManager.getPattern(qe.from.toString()),Kt=ot.imageManager.getPattern(qe.to.toString()),{width:xr,height:Ir}=ot.imageManager.getPixelSize(),ve=Math.pow(2,Tt.tileID.overscaledZ),be=Tt.tileSize*Math.pow(2,ot.transform.tileZoom)/ve,De=be*(Tt.tileID.canonical.x+Tt.tileID.wrap*ve),Be=be*Tt.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:Yt.tl,u_pattern_br_a:Yt.br,u_pattern_tl_b:Kt.tl,u_pattern_br_b:Kt.br,u_texsize:[xr,Ir],u_mix:Xe.t,u_pattern_size_a:Yt.displaySize,u_pattern_size_b:Kt.displaySize,u_scale_a:Xe.fromScale,u_scale_b:Xe.toScale,u_tile_units_to_pixels:1/In(Tt,1,ot.transform.tileZoom),u_pixel_coord_upper:[De>>16,Be>>16],u_pixel_coord_lower:[65535&De,65535&Be]}}(Q,le,B,ee),{u_matrix:ue,u_opacity:w}),nc={fillExtrusion:(ue,w)=>({u_matrix:new a.aJ(ue,w.u_matrix),u_lightpos:new a.aN(ue,w.u_lightpos),u_lightintensity:new a.aI(ue,w.u_lightintensity),u_lightcolor:new a.aN(ue,w.u_lightcolor),u_vertical_gradient:new a.aI(ue,w.u_vertical_gradient),u_opacity:new 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a.aO(ue,w.u_world)}),fillOutlinePattern:(ue,w)=>({u_matrix:new a.aJ(ue,w.u_matrix),u_world:new a.aO(ue,w.u_world),u_image:new a.aH(ue,w.u_image),u_texsize:new a.aO(ue,w.u_texsize),u_pixel_coord_upper:new a.aO(ue,w.u_pixel_coord_upper),u_pixel_coord_lower:new a.aO(ue,w.u_pixel_coord_lower),u_scale:new a.aN(ue,w.u_scale),u_fade:new a.aI(ue,w.u_fade)}),circle:(ue,w)=>({u_camera_to_center_distance:new a.aI(ue,w.u_camera_to_center_distance),u_scale_with_map:new a.aH(ue,w.u_scale_with_map),u_pitch_with_map:new a.aH(ue,w.u_pitch_with_map),u_extrude_scale:new a.aO(ue,w.u_extrude_scale),u_device_pixel_ratio:new a.aI(ue,w.u_device_pixel_ratio),u_matrix:new a.aJ(ue,w.u_matrix)}),collisionBox:(ue,w)=>({u_matrix:new a.aJ(ue,w.u_matrix),u_pixel_extrude_scale:new a.aO(ue,w.u_pixel_extrude_scale)}),collisionCircle:(ue,w)=>({u_matrix:new a.aJ(ue,w.u_matrix),u_inv_matrix:new a.aJ(ue,w.u_inv_matrix),u_camera_to_center_distance:new a.aI(ue,w.u_camera_to_center_distance),u_viewport_size:new a.aO(ue,w.u_viewport_size)}),debug:(ue,w)=>({u_color:new a.aL(ue,w.u_color),u_matrix:new a.aJ(ue,w.u_matrix),u_overlay:new a.aH(ue,w.u_overlay),u_overlay_scale:new a.aI(ue,w.u_overlay_scale)}),clippingMask:(ue,w)=>({u_matrix:new a.aJ(ue,w.u_matrix)}),heatmap:(ue,w)=>({u_extrude_scale:new a.aI(ue,w.u_extrude_scale),u_intensity:new a.aI(ue,w.u_intensity),u_matrix:new a.aJ(ue,w.u_matrix)}),heatmapTexture:(ue,w)=>({u_matrix:new a.aJ(ue,w.u_matrix),u_world:new a.aO(ue,w.u_world),u_image:new a.aH(ue,w.u_image),u_color_ramp:new a.aH(ue,w.u_color_ramp),u_opacity:new a.aI(ue,w.u_opacity)}),hillshade:(ue,w)=>({u_matrix:new a.aJ(ue,w.u_matrix),u_image:new a.aH(ue,w.u_image),u_latrange:new a.aO(ue,w.u_latrange),u_light:new a.aO(ue,w.u_light),u_shadow:new a.aL(ue,w.u_shadow),u_highlight:new a.aL(ue,w.u_highlight),u_accent:new a.aL(ue,w.u_accent)}),hillshadePrepare:(ue,w)=>({u_matrix:new a.aJ(ue,w.u_matrix),u_image:new a.aH(ue,w.u_image),u_dimension:new a.aO(ue,w.u_dimension),u_zoom:new 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a.aO(ue,w.u_units_to_pixels),u_patternscale_a:new a.aO(ue,w.u_patternscale_a),u_patternscale_b:new a.aO(ue,w.u_patternscale_b),u_sdfgamma:new a.aI(ue,w.u_sdfgamma),u_image:new a.aH(ue,w.u_image),u_tex_y_a:new a.aI(ue,w.u_tex_y_a),u_tex_y_b:new a.aI(ue,w.u_tex_y_b),u_mix:new a.aI(ue,w.u_mix)}),raster:(ue,w)=>({u_matrix:new a.aJ(ue,w.u_matrix),u_tl_parent:new a.aO(ue,w.u_tl_parent),u_scale_parent:new a.aI(ue,w.u_scale_parent),u_buffer_scale:new a.aI(ue,w.u_buffer_scale),u_fade_t:new a.aI(ue,w.u_fade_t),u_opacity:new a.aI(ue,w.u_opacity),u_image0:new a.aH(ue,w.u_image0),u_image1:new a.aH(ue,w.u_image1),u_brightness_low:new a.aI(ue,w.u_brightness_low),u_brightness_high:new a.aI(ue,w.u_brightness_high),u_saturation_factor:new a.aI(ue,w.u_saturation_factor),u_contrast_factor:new a.aI(ue,w.u_contrast_factor),u_spin_weights:new a.aN(ue,w.u_spin_weights)}),symbolIcon:(ue,w)=>({u_is_size_zoom_constant:new a.aH(ue,w.u_is_size_zoom_constant),u_is_size_feature_constant:new a.aH(ue,w.u_is_size_feature_constant),u_size_t:new a.aI(ue,w.u_size_t),u_size:new a.aI(ue,w.u_size),u_camera_to_center_distance:new a.aI(ue,w.u_camera_to_center_distance),u_pitch:new a.aI(ue,w.u_pitch),u_rotate_symbol:new a.aH(ue,w.u_rotate_symbol),u_aspect_ratio:new a.aI(ue,w.u_aspect_ratio),u_fade_change:new a.aI(ue,w.u_fade_change),u_matrix:new a.aJ(ue,w.u_matrix),u_label_plane_matrix:new a.aJ(ue,w.u_label_plane_matrix),u_coord_matrix:new a.aJ(ue,w.u_coord_matrix),u_is_text:new a.aH(ue,w.u_is_text),u_pitch_with_map:new a.aH(ue,w.u_pitch_with_map),u_is_along_line:new a.aH(ue,w.u_is_along_line),u_is_variable_anchor:new a.aH(ue,w.u_is_variable_anchor),u_texsize:new a.aO(ue,w.u_texsize),u_texture:new a.aH(ue,w.u_texture),u_translation:new a.aO(ue,w.u_translation),u_pitched_scale:new a.aI(ue,w.u_pitched_scale)}),symbolSDF:(ue,w)=>({u_is_size_zoom_constant:new a.aH(ue,w.u_is_size_zoom_constant),u_is_size_feature_constant:new a.aH(ue,w.u_is_size_feature_constant),u_size_t:new a.aI(ue,w.u_size_t),u_size:new a.aI(ue,w.u_size),u_camera_to_center_distance:new a.aI(ue,w.u_camera_to_center_distance),u_pitch:new a.aI(ue,w.u_pitch),u_rotate_symbol:new a.aH(ue,w.u_rotate_symbol),u_aspect_ratio:new a.aI(ue,w.u_aspect_ratio),u_fade_change:new a.aI(ue,w.u_fade_change),u_matrix:new a.aJ(ue,w.u_matrix),u_label_plane_matrix:new a.aJ(ue,w.u_label_plane_matrix),u_coord_matrix:new a.aJ(ue,w.u_coord_matrix),u_is_text:new a.aH(ue,w.u_is_text),u_pitch_with_map:new a.aH(ue,w.u_pitch_with_map),u_is_along_line:new a.aH(ue,w.u_is_along_line),u_is_variable_anchor:new a.aH(ue,w.u_is_variable_anchor),u_texsize:new a.aO(ue,w.u_texsize),u_texture:new a.aH(ue,w.u_texture),u_gamma_scale:new a.aI(ue,w.u_gamma_scale),u_device_pixel_ratio:new a.aI(ue,w.u_device_pixel_ratio),u_is_halo:new a.aH(ue,w.u_is_halo),u_translation:new a.aO(ue,w.u_translation),u_pitched_scale:new a.aI(ue,w.u_pitched_scale)}),symbolTextAndIcon:(ue,w)=>({u_is_size_zoom_constant:new 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a.aH(ue,w.u_is_halo),u_translation:new a.aO(ue,w.u_translation),u_pitched_scale:new a.aI(ue,w.u_pitched_scale)}),background:(ue,w)=>({u_matrix:new a.aJ(ue,w.u_matrix),u_opacity:new a.aI(ue,w.u_opacity),u_color:new a.aL(ue,w.u_color)}),backgroundPattern:(ue,w)=>({u_matrix:new a.aJ(ue,w.u_matrix),u_opacity:new a.aI(ue,w.u_opacity),u_image:new a.aH(ue,w.u_image),u_pattern_tl_a:new a.aO(ue,w.u_pattern_tl_a),u_pattern_br_a:new a.aO(ue,w.u_pattern_br_a),u_pattern_tl_b:new a.aO(ue,w.u_pattern_tl_b),u_pattern_br_b:new a.aO(ue,w.u_pattern_br_b),u_texsize:new a.aO(ue,w.u_texsize),u_mix:new a.aI(ue,w.u_mix),u_pattern_size_a:new a.aO(ue,w.u_pattern_size_a),u_pattern_size_b:new a.aO(ue,w.u_pattern_size_b),u_scale_a:new a.aI(ue,w.u_scale_a),u_scale_b:new a.aI(ue,w.u_scale_b),u_pixel_coord_upper:new a.aO(ue,w.u_pixel_coord_upper),u_pixel_coord_lower:new a.aO(ue,w.u_pixel_coord_lower),u_tile_units_to_pixels:new a.aI(ue,w.u_tile_units_to_pixels)}),terrain:(ue,w)=>({u_matrix:new a.aJ(ue,w.u_matrix),u_texture:new a.aH(ue,w.u_texture),u_ele_delta:new a.aI(ue,w.u_ele_delta),u_fog_matrix:new a.aJ(ue,w.u_fog_matrix),u_fog_color:new a.aL(ue,w.u_fog_color),u_fog_ground_blend:new a.aI(ue,w.u_fog_ground_blend),u_fog_ground_blend_opacity:new a.aI(ue,w.u_fog_ground_blend_opacity),u_horizon_color:new a.aL(ue,w.u_horizon_color),u_horizon_fog_blend:new a.aI(ue,w.u_horizon_fog_blend)}),terrainDepth:(ue,w)=>({u_matrix:new a.aJ(ue,w.u_matrix),u_ele_delta:new a.aI(ue,w.u_ele_delta)}),terrainCoords:(ue,w)=>({u_matrix:new a.aJ(ue,w.u_matrix),u_texture:new a.aH(ue,w.u_texture),u_terrain_coords_id:new a.aI(ue,w.u_terrain_coords_id),u_ele_delta:new a.aI(ue,w.u_ele_delta)}),sky:(ue,w)=>({u_sky_color:new a.aL(ue,w.u_sky_color),u_horizon_color:new a.aL(ue,w.u_horizon_color),u_horizon:new a.aI(ue,w.u_horizon),u_sky_horizon_blend:new a.aI(ue,w.u_sky_horizon_blend)})};class bs{constructor(w,B,Q){this.context=w;let ee=w.gl;this.buffer=ee.createBuffer(),this.dynamicDraw=!!Q,this.context.unbindVAO(),w.bindElementBuffer.set(this.buffer),ee.bufferData(ee.ELEMENT_ARRAY_BUFFER,B.arrayBuffer,this.dynamicDraw?ee.DYNAMIC_DRAW:ee.STATIC_DRAW),this.dynamicDraw||delete B.arrayBuffer}bind(){this.context.bindElementBuffer.set(this.buffer)}updateData(w){let B=this.context.gl;if(!this.dynamicDraw)throw new Error(\"Attempted to update data while not in dynamic mode.\");this.context.unbindVAO(),this.bind(),B.bufferSubData(B.ELEMENT_ARRAY_BUFFER,0,w.arrayBuffer)}destroy(){this.buffer&&(this.context.gl.deleteBuffer(this.buffer),delete this.buffer)}}let Rn={Int8:\"BYTE\",Uint8:\"UNSIGNED_BYTE\",Int16:\"SHORT\",Uint16:\"UNSIGNED_SHORT\",Int32:\"INT\",Uint32:\"UNSIGNED_INT\",Float32:\"FLOAT\"};class _a{constructor(w,B,Q,ee){this.length=B.length,this.attributes=Q,this.itemSize=B.bytesPerElement,this.dynamicDraw=ee,this.context=w;let le=w.gl;this.buffer=le.createBuffer(),w.bindVertexBuffer.set(this.buffer),le.bufferData(le.ARRAY_BUFFER,B.arrayBuffer,this.dynamicDraw?le.DYNAMIC_DRAW:le.STATIC_DRAW),this.dynamicDraw||delete B.arrayBuffer}bind(){this.context.bindVertexBuffer.set(this.buffer)}updateData(w){if(w.length!==this.length)throw new Error(`Length of new data is ${w.length}, which doesn't match current length of ${this.length}`);let B=this.context.gl;this.bind(),B.bufferSubData(B.ARRAY_BUFFER,0,w.arrayBuffer)}enableAttributes(w,B){for(let Q=0;Q<this.attributes.length;Q++){let ee=B.attributes[this.attributes[Q].name];ee!==void 0&&w.enableVertexAttribArray(ee)}}setVertexAttribPointers(w,B,Q){for(let ee=0;ee<this.attributes.length;ee++){let le=this.attributes[ee],qe=B.attributes[le.name];qe!==void 0&&w.vertexAttribPointer(qe,le.components,w[Rn[le.type]],!1,this.itemSize,le.offset+this.itemSize*(Q||0))}}destroy(){this.buffer&&(this.context.gl.deleteBuffer(this.buffer),delete this.buffer)}}let Vu=new WeakMap;function Ol(ue){var w;if(Vu.has(ue))return Vu.get(ue);{let B=(w=ue.getParameter(ue.VERSION))===null||w===void 0?void 0:w.startsWith(\"WebGL 2.0\");return Vu.set(ue,B),B}}class xo{constructor(w){this.gl=w.gl,this.default=this.getDefault(),this.current=this.default,this.dirty=!1}get(){return this.current}set(w){}getDefault(){return this.default}setDefault(){this.set(this.default)}}class Yl extends xo{getDefault(){return a.aM.transparent}set(w){let B=this.current;(w.r!==B.r||w.g!==B.g||w.b!==B.b||w.a!==B.a||this.dirty)&&(this.gl.clearColor(w.r,w.g,w.b,w.a),this.current=w,this.dirty=!1)}}class Ns extends xo{getDefault(){return 1}set(w){(w!==this.current||this.dirty)&&(this.gl.clearDepth(w),this.current=w,this.dirty=!1)}}class Hl extends xo{getDefault(){return 0}set(w){(w!==this.current||this.dirty)&&(this.gl.clearStencil(w),this.current=w,this.dirty=!1)}}class ac extends xo{getDefault(){return[!0,!0,!0,!0]}set(w){let B=this.current;(w[0]!==B[0]||w[1]!==B[1]||w[2]!==B[2]||w[3]!==B[3]||this.dirty)&&(this.gl.colorMask(w[0],w[1],w[2],w[3]),this.current=w,this.dirty=!1)}}class aa extends xo{getDefault(){return!0}set(w){(w!==this.current||this.dirty)&&(this.gl.depthMask(w),this.current=w,this.dirty=!1)}}class Oo extends xo{getDefault(){return 255}set(w){(w!==this.current||this.dirty)&&(this.gl.stencilMask(w),this.current=w,this.dirty=!1)}}class qo extends xo{getDefault(){return{func:this.gl.ALWAYS,ref:0,mask:255}}set(w){let B=this.current;(w.func!==B.func||w.ref!==B.ref||w.mask!==B.mask||this.dirty)&&(this.gl.stencilFunc(w.func,w.ref,w.mask),this.current=w,this.dirty=!1)}}class ql extends xo{getDefault(){let w=this.gl;return[w.KEEP,w.KEEP,w.KEEP]}set(w){let B=this.current;(w[0]!==B[0]||w[1]!==B[1]||w[2]!==B[2]||this.dirty)&&(this.gl.stencilOp(w[0],w[1],w[2]),this.current=w,this.dirty=!1)}}class Pc extends xo{getDefault(){return!1}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;w?B.enable(B.STENCIL_TEST):B.disable(B.STENCIL_TEST),this.current=w,this.dirty=!1}}class Do extends xo{getDefault(){return[0,1]}set(w){let B=this.current;(w[0]!==B[0]||w[1]!==B[1]||this.dirty)&&(this.gl.depthRange(w[0],w[1]),this.current=w,this.dirty=!1)}}class rf extends xo{getDefault(){return!1}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;w?B.enable(B.DEPTH_TEST):B.disable(B.DEPTH_TEST),this.current=w,this.dirty=!1}}class Uf extends xo{getDefault(){return this.gl.LESS}set(w){(w!==this.current||this.dirty)&&(this.gl.depthFunc(w),this.current=w,this.dirty=!1)}}class pl extends xo{getDefault(){return!1}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;w?B.enable(B.BLEND):B.disable(B.BLEND),this.current=w,this.dirty=!1}}class Zc extends xo{getDefault(){let w=this.gl;return[w.ONE,w.ZERO]}set(w){let B=this.current;(w[0]!==B[0]||w[1]!==B[1]||this.dirty)&&(this.gl.blendFunc(w[0],w[1]),this.current=w,this.dirty=!1)}}class Kl extends xo{getDefault(){return a.aM.transparent}set(w){let B=this.current;(w.r!==B.r||w.g!==B.g||w.b!==B.b||w.a!==B.a||this.dirty)&&(this.gl.blendColor(w.r,w.g,w.b,w.a),this.current=w,this.dirty=!1)}}class Os extends xo{getDefault(){return this.gl.FUNC_ADD}set(w){(w!==this.current||this.dirty)&&(this.gl.blendEquation(w),this.current=w,this.dirty=!1)}}class yu extends xo{getDefault(){return!1}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;w?B.enable(B.CULL_FACE):B.disable(B.CULL_FACE),this.current=w,this.dirty=!1}}class oc extends xo{getDefault(){return this.gl.BACK}set(w){(w!==this.current||this.dirty)&&(this.gl.cullFace(w),this.current=w,this.dirty=!1)}}class Cf extends xo{getDefault(){return this.gl.CCW}set(w){(w!==this.current||this.dirty)&&(this.gl.frontFace(w),this.current=w,this.dirty=!1)}}class sc extends xo{getDefault(){return null}set(w){(w!==this.current||this.dirty)&&(this.gl.useProgram(w),this.current=w,this.dirty=!1)}}class Vh extends xo{getDefault(){return this.gl.TEXTURE0}set(w){(w!==this.current||this.dirty)&&(this.gl.activeTexture(w),this.current=w,this.dirty=!1)}}class Lf extends xo{getDefault(){let w=this.gl;return[0,0,w.drawingBufferWidth,w.drawingBufferHeight]}set(w){let B=this.current;(w[0]!==B[0]||w[1]!==B[1]||w[2]!==B[2]||w[3]!==B[3]||this.dirty)&&(this.gl.viewport(w[0],w[1],w[2],w[3]),this.current=w,this.dirty=!1)}}class cs extends xo{getDefault(){return null}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;B.bindFramebuffer(B.FRAMEBUFFER,w),this.current=w,this.dirty=!1}}class nf extends xo{getDefault(){return null}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;B.bindRenderbuffer(B.RENDERBUFFER,w),this.current=w,this.dirty=!1}}class Vf extends xo{getDefault(){return null}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;B.bindTexture(B.TEXTURE_2D,w),this.current=w,this.dirty=!1}}class Jl extends xo{getDefault(){return null}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;B.bindBuffer(B.ARRAY_BUFFER,w),this.current=w,this.dirty=!1}}class fl extends xo{getDefault(){return null}set(w){let B=this.gl;B.bindBuffer(B.ELEMENT_ARRAY_BUFFER,w),this.current=w,this.dirty=!1}}class lc extends xo{getDefault(){return null}set(w){var B;if(w===this.current&&!this.dirty)return;let Q=this.gl;Ol(Q)?Q.bindVertexArray(w):(B=Q.getExtension(\"OES_vertex_array_object\"))===null||B===void 0||B.bindVertexArrayOES(w),this.current=w,this.dirty=!1}}class Fu extends xo{getDefault(){return 4}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;B.pixelStorei(B.UNPACK_ALIGNMENT,w),this.current=w,this.dirty=!1}}class Es extends xo{getDefault(){return!1}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;B.pixelStorei(B.UNPACK_PREMULTIPLY_ALPHA_WEBGL,w),this.current=w,this.dirty=!1}}class Hs extends xo{getDefault(){return!1}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;B.pixelStorei(B.UNPACK_FLIP_Y_WEBGL,w),this.current=w,this.dirty=!1}}class Go extends xo{constructor(w,B){super(w),this.context=w,this.parent=B}getDefault(){return null}}class ps extends Go{setDirty(){this.dirty=!0}set(w){if(w===this.current&&!this.dirty)return;this.context.bindFramebuffer.set(this.parent);let B=this.gl;B.framebufferTexture2D(B.FRAMEBUFFER,B.COLOR_ATTACHMENT0,B.TEXTURE_2D,w,0),this.current=w,this.dirty=!1}}class uc extends Go{set(w){if(w===this.current&&!this.dirty)return;this.context.bindFramebuffer.set(this.parent);let B=this.gl;B.framebufferRenderbuffer(B.FRAMEBUFFER,B.DEPTH_ATTACHMENT,B.RENDERBUFFER,w),this.current=w,this.dirty=!1}}class xl extends Go{set(w){if(w===this.current&&!this.dirty)return;this.context.bindFramebuffer.set(this.parent);let B=this.gl;B.framebufferRenderbuffer(B.FRAMEBUFFER,B.DEPTH_STENCIL_ATTACHMENT,B.RENDERBUFFER,w),this.current=w,this.dirty=!1}}class Gu{constructor(w,B,Q,ee,le){this.context=w,this.width=B,this.height=Q;let qe=w.gl,Xe=this.framebuffer=qe.createFramebuffer();if(this.colorAttachment=new ps(w,Xe),ee)this.depthAttachment=le?new xl(w,Xe):new uc(w,Xe);else if(le)throw new Error(\"Stencil cannot be set without depth\");if(qe.checkFramebufferStatus(qe.FRAMEBUFFER)!==qe.FRAMEBUFFER_COMPLETE)throw new Error(\"Framebuffer is not complete\")}destroy(){let w=this.context.gl,B=this.colorAttachment.get();if(B&&w.deleteTexture(B),this.depthAttachment){let Q=this.depthAttachment.get();Q&&w.deleteRenderbuffer(Q)}w.deleteFramebuffer(this.framebuffer)}}class qs{constructor(w,B,Q){this.blendFunction=w,this.blendColor=B,this.mask=Q}}qs.Replace=[1,0],qs.disabled=new qs(qs.Replace,a.aM.transparent,[!1,!1,!1,!1]),qs.unblended=new qs(qs.Replace,a.aM.transparent,[!0,!0,!0,!0]),qs.alphaBlended=new qs([1,771],a.aM.transparent,[!0,!0,!0,!0]);class ad{constructor(w){var B,Q;if(this.gl=w,this.clearColor=new Yl(this),this.clearDepth=new Ns(this),this.clearStencil=new Hl(this),this.colorMask=new ac(this),this.depthMask=new aa(this),this.stencilMask=new Oo(this),this.stencilFunc=new qo(this),this.stencilOp=new ql(this),this.stencilTest=new Pc(this),this.depthRange=new Do(this),this.depthTest=new rf(this),this.depthFunc=new Uf(this),this.blend=new pl(this),this.blendFunc=new Zc(this),this.blendColor=new Kl(this),this.blendEquation=new Os(this),this.cullFace=new yu(this),this.cullFaceSide=new oc(this),this.frontFace=new Cf(this),this.program=new sc(this),this.activeTexture=new Vh(this),this.viewport=new Lf(this),this.bindFramebuffer=new cs(this),this.bindRenderbuffer=new nf(this),this.bindTexture=new Vf(this),this.bindVertexBuffer=new Jl(this),this.bindElementBuffer=new fl(this),this.bindVertexArray=new lc(this),this.pixelStoreUnpack=new Fu(this),this.pixelStoreUnpackPremultiplyAlpha=new Es(this),this.pixelStoreUnpackFlipY=new Hs(this),this.extTextureFilterAnisotropic=w.getExtension(\"EXT_texture_filter_anisotropic\")||w.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||w.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=w.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.maxTextureSize=w.getParameter(w.MAX_TEXTURE_SIZE),Ol(w)){this.HALF_FLOAT=w.HALF_FLOAT;let ee=w.getExtension(\"EXT_color_buffer_half_float\");this.RGBA16F=(B=w.RGBA16F)!==null&&B!==void 0?B:ee==null?void 0:ee.RGBA16F_EXT,this.RGB16F=(Q=w.RGB16F)!==null&&Q!==void 0?Q:ee==null?void 0:ee.RGB16F_EXT,w.getExtension(\"EXT_color_buffer_float\")}else{w.getExtension(\"EXT_color_buffer_half_float\"),w.getExtension(\"OES_texture_half_float_linear\");let ee=w.getExtension(\"OES_texture_half_float\");this.HALF_FLOAT=ee==null?void 0:ee.HALF_FLOAT_OES}}setDefault(){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()}setDirty(){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.bindVertexArray.dirty=!0,this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0}createIndexBuffer(w,B){return new bs(this,w,B)}createVertexBuffer(w,B,Q){return new _a(this,w,B,Q)}createRenderbuffer(w,B,Q){let ee=this.gl,le=ee.createRenderbuffer();return this.bindRenderbuffer.set(le),ee.renderbufferStorage(ee.RENDERBUFFER,w,B,Q),this.bindRenderbuffer.set(null),le}createFramebuffer(w,B,Q,ee){return new Gu(this,w,B,Q,ee)}clear({color:w,depth:B,stencil:Q}){let ee=this.gl,le=0;w&&(le|=ee.COLOR_BUFFER_BIT,this.clearColor.set(w),this.colorMask.set([!0,!0,!0,!0])),B!==void 0&&(le|=ee.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(B),this.depthMask.set(!0)),Q!==void 0&&(le|=ee.STENCIL_BUFFER_BIT,this.clearStencil.set(Q),this.stencilMask.set(255)),ee.clear(le)}setCullFace(w){w.enable===!1?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(w.mode),this.frontFace.set(w.frontFace))}setDepthMode(w){w.func!==this.gl.ALWAYS||w.mask?(this.depthTest.set(!0),this.depthFunc.set(w.func),this.depthMask.set(w.mask),this.depthRange.set(w.range)):this.depthTest.set(!1)}setStencilMode(w){w.test.func!==this.gl.ALWAYS||w.mask?(this.stencilTest.set(!0),this.stencilMask.set(w.mask),this.stencilOp.set([w.fail,w.depthFail,w.pass]),this.stencilFunc.set({func:w.test.func,ref:w.ref,mask:w.test.mask})):this.stencilTest.set(!1)}setColorMode(w){a.aE(w.blendFunction,qs.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(w.blendFunction),this.blendColor.set(w.blendColor)),this.colorMask.set(w.mask)}createVertexArray(){var w;return Ol(this.gl)?this.gl.createVertexArray():(w=this.gl.getExtension(\"OES_vertex_array_object\"))===null||w===void 0?void 0:w.createVertexArrayOES()}deleteVertexArray(w){var B;return Ol(this.gl)?this.gl.deleteVertexArray(w):(B=this.gl.getExtension(\"OES_vertex_array_object\"))===null||B===void 0?void 0:B.deleteVertexArrayOES(w)}unbindVAO(){this.bindVertexArray.set(null)}}class Po{constructor(w,B,Q){this.func=w,this.mask=B,this.range=Q}}Po.ReadOnly=!1,Po.ReadWrite=!0,Po.disabled=new Po(519,Po.ReadOnly,[0,1]);let od=7680;class Yo{constructor(w,B,Q,ee,le,qe){this.test=w,this.ref=B,this.mask=Q,this.fail=ee,this.depthFail=le,this.pass=qe}}Yo.disabled=new Yo({func:519,mask:0},0,0,od,od,od);class Pa{constructor(w,B,Q){this.enable=w,this.mode=B,this.frontFace=Q}}let af;function Hu(ue,w,B,Q,ee){let le=ue.context,qe=le.gl,Xe=ue.useProgram(\"collisionBox\"),ot=[],Tt=0,Yt=0;for(let Be=0;Be<Q.length;Be++){let et=Q[Be],We=w.getTile(et).getBucket(B);if(!We)continue;let it=ee?We.textCollisionBox:We.iconCollisionBox,Ft=We.collisionCircleArray;if(Ft.length>0){let Ht=a.H();a.aQ(Ht,We.placementInvProjMatrix,ue.transform.glCoordMatrix),a.aQ(Ht,Ht,We.placementViewportMatrix),ot.push({circleArray:Ft,circleOffset:Yt,transform:et.posMatrix,invTransform:Ht,coord:et}),Tt+=Ft.length/4,Yt=Tt}it&&Xe.draw(le,qe.LINES,Po.disabled,Yo.disabled,ue.colorModeForRenderPass(),Pa.disabled,{u_matrix:et.posMatrix,u_pixel_extrude_scale:[1/(Kt=ue.transform).width,1/Kt.height]},ue.style.map.terrain&&ue.style.map.terrain.getTerrainData(et),B.id,it.layoutVertexBuffer,it.indexBuffer,it.segments,null,ue.transform.zoom,null,null,it.collisionVertexBuffer)}var Kt;if(!ee||!ot.length)return;let xr=ue.useProgram(\"collisionCircle\"),Ir=new a.aR;Ir.resize(4*Tt),Ir._trim();let ve=0;for(let Be of ot)for(let et=0;et<Be.circleArray.length/4;et++){let We=4*et,it=Be.circleArray[We+0],Ft=Be.circleArray[We+1],Ht=Be.circleArray[We+2],tr=Be.circleArray[We+3];Ir.emplace(ve++,it,Ft,Ht,tr,0),Ir.emplace(ve++,it,Ft,Ht,tr,1),Ir.emplace(ve++,it,Ft,Ht,tr,2),Ir.emplace(ve++,it,Ft,Ht,tr,3)}(!af||af.length<2*Tt)&&(af=function(Be){let et=2*Be,We=new a.aT;We.resize(et),We._trim();for(let it=0;it<et;it++){let Ft=6*it;We.uint16[Ft+0]=4*it+0,We.uint16[Ft+1]=4*it+1,We.uint16[Ft+2]=4*it+2,We.uint16[Ft+3]=4*it+2,We.uint16[Ft+4]=4*it+3,We.uint16[Ft+5]=4*it+0}return We}(Tt));let be=le.createIndexBuffer(af,!0),De=le.createVertexBuffer(Ir,a.aS.members,!0);for(let Be of ot){let et=No(Be.transform,Be.invTransform,ue.transform);xr.draw(le,qe.TRIANGLES,Po.disabled,Yo.disabled,ue.colorModeForRenderPass(),Pa.disabled,et,ue.style.map.terrain&&ue.style.map.terrain.getTerrainData(Be.coord),B.id,De,be,a.a0.simpleSegment(0,2*Be.circleOffset,Be.circleArray.length,Be.circleArray.length/2),null,ue.transform.zoom,null,null,null)}De.destroy(),be.destroy()}Pa.disabled=new Pa(!1,1029,2305),Pa.backCCW=new Pa(!0,1029,2305);let bl=a.an(new Float32Array(16));function Gf(ue,w,B,Q,ee,le){let{horizontalAlign:qe,verticalAlign:Xe}=a.au(ue);return new a.P((-(qe-.5)*w/ee+Q[0])*le,(-(Xe-.5)*B/ee+Q[1])*le)}function Ic(ue,w,B,Q,ee,le){let qe=w.tileAnchorPoint.add(new a.P(w.translation[0],w.translation[1]));if(w.pitchWithMap){let Xe=Q.mult(le);B||(Xe=Xe.rotate(-ee));let ot=qe.add(Xe);return dt(ot.x,ot.y,w.labelPlaneMatrix,w.getElevation).point}if(B){let Xe=vt(w.tileAnchorPoint.x+1,w.tileAnchorPoint.y,w).point.sub(ue),ot=Math.atan(Xe.y/Xe.x)+(Xe.x<0?Math.PI:0);return ue.add(Q.rotate(ot))}return ue.add(Q)}function yf(ue,w,B,Q,ee,le,qe,Xe,ot,Tt,Yt,Kt,xr,Ir){let ve=ue.text.placedSymbolArray,be=ue.text.dynamicLayoutVertexArray,De=ue.icon.dynamicLayoutVertexArray,Be={};be.clear();for(let et=0;et<ve.length;et++){let We=ve.get(et),it=We.hidden||!We.crossTileID||ue.allowVerticalPlacement&&!We.placedOrientation?null:Q[We.crossTileID];if(it){let Ft=new a.P(We.anchorX,We.anchorY),Ht={getElevation:Ir,width:ee.width,height:ee.height,labelPlaneMatrix:le,lineVertexArray:null,pitchWithMap:B,projection:Yt,projectionCache:null,tileAnchorPoint:Ft,translation:Kt,unwrappedTileID:xr},tr=B?dt(Ft.x,Ft.y,qe,Ir):vt(Ft.x,Ft.y,Ht),dr=Ge(ee.cameraToCenterDistance,tr.signedDistanceFromCamera),Sr=a.ai(ue.textSizeData,ot,We)*dr/a.ap;B&&(Sr*=ue.tilePixelRatio/Xe);let{width:Or,height:Wr,anchor:ni,textOffset:Pi,textBoxScale:cn}=it,ln=Gf(ni,Or,Wr,Pi,cn,Sr),Cn=Yt.getPitchedTextCorrection(ee,Ft.add(new a.P(Kt[0],Kt[1])),xr),Kn=Ic(tr.point,Ht,w,ln,ee.angle,Cn),Ta=ue.allowVerticalPlacement&&We.placedOrientation===a.ah.vertical?Math.PI/2:0;for(let fa=0;fa<We.numGlyphs;fa++)a.aj(be,Kn,Ta);Tt&&We.associatedIconIndex>=0&&(Be[We.associatedIconIndex]={shiftedAnchor:Kn,angle:Ta})}else pi(We.numGlyphs,be)}if(Tt){De.clear();let et=ue.icon.placedSymbolArray;for(let We=0;We<et.length;We++){let it=et.get(We);if(it.hidden)pi(it.numGlyphs,De);else{let Ft=Be[We];if(Ft)for(let Ht=0;Ht<it.numGlyphs;Ht++)a.aj(De,Ft.shiftedAnchor,Ft.angle);else pi(it.numGlyphs,De)}}ue.icon.dynamicLayoutVertexBuffer.updateData(De)}ue.text.dynamicLayoutVertexBuffer.updateData(be)}function Bl(ue,w,B){return B.iconsInText&&w?\"symbolTextAndIcon\":ue?\"symbolSDF\":\"symbolIcon\"}function wh(ue,w,B,Q,ee,le,qe,Xe,ot,Tt,Yt,Kt){let xr=ue.context,Ir=xr.gl,ve=ue.transform,be=yn(),De=Xe===\"map\",Be=ot===\"map\",et=Xe!==\"viewport\"&&B.layout.get(\"symbol-placement\")!==\"point\",We=De&&!Be&&!et,it=!Be&&et,Ft=!B.layout.get(\"symbol-sort-key\").isConstant(),Ht=!1,tr=ue.depthModeForSublayer(0,Po.ReadOnly),dr=B._unevaluatedLayout.hasValue(\"text-variable-anchor\")||B._unevaluatedLayout.hasValue(\"text-variable-anchor-offset\"),Sr=[],Or=be.getCircleRadiusCorrection(ve);for(let Wr of Q){let ni=w.getTile(Wr),Pi=ni.getBucket(B);if(!Pi)continue;let cn=ee?Pi.text:Pi.icon;if(!cn||!cn.segments.get().length||!cn.hasVisibleVertices)continue;let ln=cn.programConfigurations.get(B.id),Cn=ee||Pi.sdfIcons,Kn=ee?Pi.textSizeData:Pi.iconSizeData,Ta=Be||ve.pitch!==0,fa=ue.useProgram(Bl(Cn,ee,Pi),ln),$a=a.ag(Kn,ve.zoom),Co=ue.style.map.terrain&&ue.style.map.terrain.getTerrainData(Wr),Qa,mo,Bo,Ps,Ts=[0,0],wo=null;if(ee)mo=ni.glyphAtlasTexture,Bo=Ir.LINEAR,Qa=ni.glyphAtlasTexture.size,Pi.iconsInText&&(Ts=ni.imageAtlasTexture.size,wo=ni.imageAtlasTexture,Ps=Ta||ue.options.rotating||ue.options.zooming||Kn.kind===\"composite\"||Kn.kind===\"camera\"?Ir.LINEAR:Ir.NEAREST);else{let Ye=B.layout.get(\"icon-size\").constantOr(0)!==1||Pi.iconsNeedLinear;mo=ni.imageAtlasTexture,Bo=Cn||ue.options.rotating||ue.options.zooming||Ye||Ta?Ir.LINEAR:Ir.NEAREST,Qa=ni.imageAtlasTexture.size}let To=In(ni,1,ue.transform.zoom),hl=it?Wr.posMatrix:bl,Ul=Br(hl,Be,De,ue.transform,To),Lu=Vr(hl,Be,De,ue.transform,To),au=Vr(Wr.posMatrix,Be,De,ue.transform,To),Js=be.translatePosition(ue.transform,ni,le,qe),Ql=dr&&Pi.hasTextData(),dc=B.layout.get(\"icon-text-fit\")!==\"none\"&&Ql&&Pi.hasIconData();if(et){let Ye=ue.style.map.terrain?(nt,jt)=>ue.style.map.terrain.getElevation(Wr,nt,jt):null,kt=B.layout.get(\"text-rotation-alignment\")===\"map\";je(Pi,Wr.posMatrix,ue,ee,Ul,au,Be,Tt,kt,be,Wr.toUnwrapped(),ve.width,ve.height,Js,Ye)}let Tl=Wr.posMatrix,Al=ee&&dr||dc,X=et||Al?bl:Ul,se=Lu,Te=Cn&&B.paint.get(ee?\"text-halo-width\":\"icon-halo-width\").constantOr(1)!==0,Ne;Ne=Cn?Pi.iconsInText?ls(Kn.kind,$a,We,Be,et,Al,ue,Tl,X,se,Js,Qa,Ts,Or):Io(Kn.kind,$a,We,Be,et,Al,ue,Tl,X,se,Js,ee,Qa,!0,Or):zs(Kn.kind,$a,We,Be,et,Al,ue,Tl,X,se,Js,ee,Qa,Or);let He={program:fa,buffers:cn,uniformValues:Ne,atlasTexture:mo,atlasTextureIcon:wo,atlasInterpolation:Bo,atlasInterpolationIcon:Ps,isSDF:Cn,hasHalo:Te};if(Ft&&Pi.canOverlap){Ht=!0;let Ye=cn.segments.get();for(let kt of Ye)Sr.push({segments:new a.a0([kt]),sortKey:kt.sortKey,state:He,terrainData:Co})}else Sr.push({segments:cn.segments,sortKey:0,state:He,terrainData:Co})}Ht&&Sr.sort((Wr,ni)=>Wr.sortKey-ni.sortKey);for(let Wr of Sr){let ni=Wr.state;if(xr.activeTexture.set(Ir.TEXTURE0),ni.atlasTexture.bind(ni.atlasInterpolation,Ir.CLAMP_TO_EDGE),ni.atlasTextureIcon&&(xr.activeTexture.set(Ir.TEXTURE1),ni.atlasTextureIcon&&ni.atlasTextureIcon.bind(ni.atlasInterpolationIcon,Ir.CLAMP_TO_EDGE)),ni.isSDF){let Pi=ni.uniformValues;ni.hasHalo&&(Pi.u_is_halo=1,Qf(ni.buffers,Wr.segments,B,ue,ni.program,tr,Yt,Kt,Pi,Wr.terrainData)),Pi.u_is_halo=0}Qf(ni.buffers,Wr.segments,B,ue,ni.program,tr,Yt,Kt,ni.uniformValues,Wr.terrainData)}}function Qf(ue,w,B,Q,ee,le,qe,Xe,ot,Tt){let Yt=Q.context;ee.draw(Yt,Yt.gl.TRIANGLES,le,qe,Xe,Pa.disabled,ot,Tt,B.id,ue.layoutVertexBuffer,ue.indexBuffer,w,B.paint,Q.transform.zoom,ue.programConfigurations.get(B.id),ue.dynamicLayoutVertexBuffer,ue.opacityVertexBuffer)}function _f(ue,w,B,Q){let ee=ue.context,le=ee.gl,qe=Yo.disabled,Xe=new qs([le.ONE,le.ONE],a.aM.transparent,[!0,!0,!0,!0]),ot=w.getBucket(B);if(!ot)return;let Tt=Q.key,Yt=B.heatmapFbos.get(Tt);Yt||(Yt=eh(ee,w.tileSize,w.tileSize),B.heatmapFbos.set(Tt,Yt)),ee.bindFramebuffer.set(Yt.framebuffer),ee.viewport.set([0,0,w.tileSize,w.tileSize]),ee.clear({color:a.aM.transparent});let Kt=ot.programConfigurations.get(B.id),xr=ue.useProgram(\"heatmap\",Kt),Ir=ue.style.map.terrain.getTerrainData(Q);xr.draw(ee,le.TRIANGLES,Po.disabled,qe,Xe,Pa.disabled,ko(Q.posMatrix,w,ue.transform.zoom,B.paint.get(\"heatmap-intensity\")),Ir,B.id,ot.layoutVertexBuffer,ot.indexBuffer,ot.segments,B.paint,ue.transform.zoom,Kt)}function Yc(ue,w,B){let Q=ue.context,ee=Q.gl;Q.setColorMode(ue.colorModeForRenderPass());let le=th(Q,w),qe=B.key,Xe=w.heatmapFbos.get(qe);Xe&&(Q.activeTexture.set(ee.TEXTURE0),ee.bindTexture(ee.TEXTURE_2D,Xe.colorAttachment.get()),Q.activeTexture.set(ee.TEXTURE1),le.bind(ee.LINEAR,ee.CLAMP_TO_EDGE),ue.useProgram(\"heatmapTexture\").draw(Q,ee.TRIANGLES,Po.disabled,Yo.disabled,ue.colorModeForRenderPass(),Pa.disabled,Ds(ue,w,0,1),null,w.id,ue.rasterBoundsBuffer,ue.quadTriangleIndexBuffer,ue.rasterBoundsSegments,w.paint,ue.transform.zoom),Xe.destroy(),w.heatmapFbos.delete(qe))}function eh(ue,w,B){var Q,ee;let le=ue.gl,qe=le.createTexture();le.bindTexture(le.TEXTURE_2D,qe),le.texParameteri(le.TEXTURE_2D,le.TEXTURE_WRAP_S,le.CLAMP_TO_EDGE),le.texParameteri(le.TEXTURE_2D,le.TEXTURE_WRAP_T,le.CLAMP_TO_EDGE),le.texParameteri(le.TEXTURE_2D,le.TEXTURE_MIN_FILTER,le.LINEAR),le.texParameteri(le.TEXTURE_2D,le.TEXTURE_MAG_FILTER,le.LINEAR);let Xe=(Q=ue.HALF_FLOAT)!==null&&Q!==void 0?Q:le.UNSIGNED_BYTE,ot=(ee=ue.RGBA16F)!==null&&ee!==void 0?ee:le.RGBA;le.texImage2D(le.TEXTURE_2D,0,ot,w,B,0,le.RGBA,Xe,null);let Tt=ue.createFramebuffer(w,B,!1,!1);return Tt.colorAttachment.set(qe),Tt}function th(ue,w){return w.colorRampTexture||(w.colorRampTexture=new g(ue,w.colorRamp,ue.gl.RGBA)),w.colorRampTexture}function ju(ue,w,B,Q,ee){if(!B||!Q||!Q.imageAtlas)return;let le=Q.imageAtlas.patternPositions,qe=le[B.to.toString()],Xe=le[B.from.toString()];if(!qe&&Xe&&(qe=Xe),!Xe&&qe&&(Xe=qe),!qe||!Xe){let ot=ee.getPaintProperty(w);qe=le[ot],Xe=le[ot]}qe&&Xe&&ue.setConstantPatternPositions(qe,Xe)}function Hf(ue,w,B,Q,ee,le,qe){let Xe=ue.context.gl,ot=\"fill-pattern\",Tt=B.paint.get(ot),Yt=Tt&&Tt.constantOr(1),Kt=B.getCrossfadeParameters(),xr,Ir,ve,be,De;qe?(Ir=Yt&&!B.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",xr=Xe.LINES):(Ir=Yt?\"fillPattern\":\"fill\",xr=Xe.TRIANGLES);let Be=Tt.constantOr(null);for(let et of Q){let We=w.getTile(et);if(Yt&&!We.patternsLoaded())continue;let it=We.getBucket(B);if(!it)continue;let Ft=it.programConfigurations.get(B.id),Ht=ue.useProgram(Ir,Ft),tr=ue.style.map.terrain&&ue.style.map.terrain.getTerrainData(et);Yt&&(ue.context.activeTexture.set(Xe.TEXTURE0),We.imageAtlasTexture.bind(Xe.LINEAR,Xe.CLAMP_TO_EDGE),Ft.updatePaintBuffers(Kt)),ju(Ft,ot,Be,We,B);let dr=tr?et:null,Sr=ue.translatePosMatrix(dr?dr.posMatrix:et.posMatrix,We,B.paint.get(\"fill-translate\"),B.paint.get(\"fill-translate-anchor\"));if(qe){be=it.indexBuffer2,De=it.segments2;let Or=[Xe.drawingBufferWidth,Xe.drawingBufferHeight];ve=Ir===\"fillOutlinePattern\"&&Yt?Ma(Sr,ue,Kt,We,Or):Jn(Sr,Or)}else be=it.indexBuffer,De=it.segments,ve=Yt?ya(Sr,ue,Kt,We):_n(Sr);Ht.draw(ue.context,xr,ee,ue.stencilModeForClipping(et),le,Pa.disabled,ve,tr,B.id,it.layoutVertexBuffer,be,De,B.paint,ue.transform.zoom,Ft)}}function cc(ue,w,B,Q,ee,le,qe){let Xe=ue.context,ot=Xe.gl,Tt=\"fill-extrusion-pattern\",Yt=B.paint.get(Tt),Kt=Yt.constantOr(1),xr=B.getCrossfadeParameters(),Ir=B.paint.get(\"fill-extrusion-opacity\"),ve=Yt.constantOr(null);for(let be of Q){let De=w.getTile(be),Be=De.getBucket(B);if(!Be)continue;let et=ue.style.map.terrain&&ue.style.map.terrain.getTerrainData(be),We=Be.programConfigurations.get(B.id),it=ue.useProgram(Kt?\"fillExtrusionPattern\":\"fillExtrusion\",We);Kt&&(ue.context.activeTexture.set(ot.TEXTURE0),De.imageAtlasTexture.bind(ot.LINEAR,ot.CLAMP_TO_EDGE),We.updatePaintBuffers(xr)),ju(We,Tt,ve,De,B);let Ft=ue.translatePosMatrix(be.posMatrix,De,B.paint.get(\"fill-extrusion-translate\"),B.paint.get(\"fill-extrusion-translate-anchor\")),Ht=B.paint.get(\"fill-extrusion-vertical-gradient\"),tr=Kt?Li(Ft,ue,Ht,Ir,be,xr,De):Mn(Ft,ue,Ht,Ir);it.draw(Xe,Xe.gl.TRIANGLES,ee,le,qe,Pa.backCCW,tr,et,B.id,Be.layoutVertexBuffer,Be.indexBuffer,Be.segments,B.paint,ue.transform.zoom,We,ue.style.map.terrain&&Be.centroidVertexBuffer)}}function of(ue,w,B,Q,ee,le,qe){let Xe=ue.context,ot=Xe.gl,Tt=B.fbo;if(!Tt)return;let Yt=ue.useProgram(\"hillshade\"),Kt=ue.style.map.terrain&&ue.style.map.terrain.getTerrainData(w);Xe.activeTexture.set(ot.TEXTURE0),ot.bindTexture(ot.TEXTURE_2D,Tt.colorAttachment.get()),Yt.draw(Xe,ot.TRIANGLES,ee,le,qe,Pa.disabled,((xr,Ir,ve,be)=>{let De=ve.paint.get(\"hillshade-shadow-color\"),Be=ve.paint.get(\"hillshade-highlight-color\"),et=ve.paint.get(\"hillshade-accent-color\"),We=ve.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);ve.paint.get(\"hillshade-illumination-anchor\")===\"viewport\"&&(We-=xr.transform.angle);let it=!xr.options.moving;return{u_matrix:be?be.posMatrix:xr.transform.calculatePosMatrix(Ir.tileID.toUnwrapped(),it),u_image:0,u_latrange:Fs(0,Ir.tileID),u_light:[ve.paint.get(\"hillshade-exaggeration\"),We],u_shadow:De,u_highlight:Be,u_accent:et}})(ue,B,Q,Kt?w:null),Kt,Q.id,ue.rasterBoundsBuffer,ue.quadTriangleIndexBuffer,ue.rasterBoundsSegments)}function Nl(ue,w,B,Q,ee,le){let qe=ue.context,Xe=qe.gl,ot=w.dem;if(ot&&ot.data){let Tt=ot.dim,Yt=ot.stride,Kt=ot.getPixels();if(qe.activeTexture.set(Xe.TEXTURE1),qe.pixelStoreUnpackPremultiplyAlpha.set(!1),w.demTexture=w.demTexture||ue.getTileTexture(Yt),w.demTexture){let Ir=w.demTexture;Ir.update(Kt,{premultiply:!1}),Ir.bind(Xe.NEAREST,Xe.CLAMP_TO_EDGE)}else w.demTexture=new g(qe,Kt,Xe.RGBA,{premultiply:!1}),w.demTexture.bind(Xe.NEAREST,Xe.CLAMP_TO_EDGE);qe.activeTexture.set(Xe.TEXTURE0);let xr=w.fbo;if(!xr){let Ir=new g(qe,{width:Tt,height:Tt,data:null},Xe.RGBA);Ir.bind(Xe.LINEAR,Xe.CLAMP_TO_EDGE),xr=w.fbo=qe.createFramebuffer(Tt,Tt,!0,!1),xr.colorAttachment.set(Ir.texture)}qe.bindFramebuffer.set(xr.framebuffer),qe.viewport.set([0,0,Tt,Tt]),ue.useProgram(\"hillshadePrepare\").draw(qe,Xe.TRIANGLES,Q,ee,le,Pa.disabled,((Ir,ve)=>{let be=ve.stride,De=a.H();return a.aP(De,0,a.X,-a.X,0,0,1),a.J(De,De,[0,-a.X,0]),{u_matrix:De,u_image:1,u_dimension:[be,be],u_zoom:Ir.overscaledZ,u_unpack:ve.getUnpackVector()}})(w.tileID,ot),null,B.id,ue.rasterBoundsBuffer,ue.quadTriangleIndexBuffer,ue.rasterBoundsSegments),w.needsHillshadePrepare=!1}}function Kc(ue,w,B,Q,ee,le){let qe=Q.paint.get(\"raster-fade-duration\");if(!le&&qe>0){let Xe=u.now(),ot=(Xe-ue.timeAdded)/qe,Tt=w?(Xe-w.timeAdded)/qe:-1,Yt=B.getSource(),Kt=ee.coveringZoomLevel({tileSize:Yt.tileSize,roundZoom:Yt.roundZoom}),xr=!w||Math.abs(w.tileID.overscaledZ-Kt)>Math.abs(ue.tileID.overscaledZ-Kt),Ir=xr&&ue.refreshedUponExpiration?1:a.ac(xr?ot:1-Tt,0,1);return ue.refreshedUponExpiration&&ot>=1&&(ue.refreshedUponExpiration=!1),w?{opacity:1,mix:1-Ir}:{opacity:Ir,mix:0}}return{opacity:1,mix:0}}let Rc=new a.aM(1,0,0,1),gs=new a.aM(0,1,0,1),jf=new a.aM(0,0,1,1),Gh=new a.aM(1,0,1,1),rh=new a.aM(0,1,1,1);function sf(ue,w,B,Q){Mu(ue,0,w+B/2,ue.transform.width,B,Q)}function Th(ue,w,B,Q){Mu(ue,w-B/2,0,B,ue.transform.height,Q)}function Mu(ue,w,B,Q,ee,le){let qe=ue.context,Xe=qe.gl;Xe.enable(Xe.SCISSOR_TEST),Xe.scissor(w*ue.pixelRatio,B*ue.pixelRatio,Q*ue.pixelRatio,ee*ue.pixelRatio),qe.clear({color:le}),Xe.disable(Xe.SCISSOR_TEST)}function ih(ue,w,B){let Q=ue.context,ee=Q.gl,le=B.posMatrix,qe=ue.useProgram(\"debug\"),Xe=Po.disabled,ot=Yo.disabled,Tt=ue.colorModeForRenderPass(),Yt=\"$debug\",Kt=ue.style.map.terrain&&ue.style.map.terrain.getTerrainData(B);Q.activeTexture.set(ee.TEXTURE0);let xr=w.getTileByID(B.key).latestRawTileData,Ir=Math.floor((xr&&xr.byteLength||0)/1024),ve=w.getTile(B).tileSize,be=512/Math.min(ve,512)*(B.overscaledZ/ue.transform.zoom)*.5,De=B.canonical.toString();B.overscaledZ!==B.canonical.z&&(De+=` => ${B.overscaledZ}`),function(Be,et){Be.initDebugOverlayCanvas();let We=Be.debugOverlayCanvas,it=Be.context.gl,Ft=Be.debugOverlayCanvas.getContext(\"2d\");Ft.clearRect(0,0,We.width,We.height),Ft.shadowColor=\"white\",Ft.shadowBlur=2,Ft.lineWidth=1.5,Ft.strokeStyle=\"white\",Ft.textBaseline=\"top\",Ft.font=\"bold 36px Open Sans, sans-serif\",Ft.fillText(et,5,5),Ft.strokeText(et,5,5),Be.debugOverlayTexture.update(We),Be.debugOverlayTexture.bind(it.LINEAR,it.CLAMP_TO_EDGE)}(ue,`${De} ${Ir}kB`),qe.draw(Q,ee.TRIANGLES,Xe,ot,qs.alphaBlended,Pa.disabled,po(le,a.aM.transparent,be),null,Yt,ue.debugBuffer,ue.quadTriangleIndexBuffer,ue.debugSegments),qe.draw(Q,ee.LINE_STRIP,Xe,ot,Tt,Pa.disabled,po(le,a.aM.red),Kt,Yt,ue.debugBuffer,ue.tileBorderIndexBuffer,ue.debugSegments)}function js(ue,w,B){let Q=ue.context,ee=Q.gl,le=ue.colorModeForRenderPass(),qe=new Po(ee.LEQUAL,Po.ReadWrite,ue.depthRangeFor3D),Xe=ue.useProgram(\"terrain\"),ot=w.getTerrainMesh();Q.bindFramebuffer.set(null),Q.viewport.set([0,0,ue.width,ue.height]);for(let Tt of B){let Yt=ue.renderToTexture.getTexture(Tt),Kt=w.getTerrainData(Tt.tileID);Q.activeTexture.set(ee.TEXTURE0),ee.bindTexture(ee.TEXTURE_2D,Yt.texture);let xr=ue.transform.calculatePosMatrix(Tt.tileID.toUnwrapped()),Ir=w.getMeshFrameDelta(ue.transform.zoom),ve=ue.transform.calculateFogMatrix(Tt.tileID.toUnwrapped()),be=Jr(xr,Ir,ve,ue.style.sky,ue.transform.pitch);Xe.draw(Q,ee.TRIANGLES,qe,Yo.disabled,le,Pa.backCCW,be,Kt,\"terrain\",ot.vertexBuffer,ot.indexBuffer,ot.segments)}}class Eu{constructor(w,B,Q){this.vertexBuffer=w,this.indexBuffer=B,this.segments=Q}destroy(){this.vertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.vertexBuffer=null,this.indexBuffer=null,this.segments=null}}class Dc{constructor(w,B){this.context=new ad(w),this.transform=B,this._tileTextures={},this.terrainFacilitator={dirty:!0,matrix:a.an(new Float64Array(16)),renderTime:0},this.setup(),this.numSublayers=mt.maxUnderzooming+mt.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Wo}resize(w,B,Q){if(this.width=Math.floor(w*Q),this.height=Math.floor(B*Q),this.pixelRatio=Q,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(let ee of this.style._order)this.style._layers[ee].resize()}setup(){let w=this.context,B=new a.aX;B.emplaceBack(0,0),B.emplaceBack(a.X,0),B.emplaceBack(0,a.X),B.emplaceBack(a.X,a.X),this.tileExtentBuffer=w.createVertexBuffer(B,vo.members),this.tileExtentSegments=a.a0.simpleSegment(0,0,4,2);let Q=new a.aX;Q.emplaceBack(0,0),Q.emplaceBack(a.X,0),Q.emplaceBack(0,a.X),Q.emplaceBack(a.X,a.X),this.debugBuffer=w.createVertexBuffer(Q,vo.members),this.debugSegments=a.a0.simpleSegment(0,0,4,5);let ee=new a.$;ee.emplaceBack(0,0,0,0),ee.emplaceBack(a.X,0,a.X,0),ee.emplaceBack(0,a.X,0,a.X),ee.emplaceBack(a.X,a.X,a.X,a.X),this.rasterBoundsBuffer=w.createVertexBuffer(ee,lt.members),this.rasterBoundsSegments=a.a0.simpleSegment(0,0,4,2);let le=new a.aX;le.emplaceBack(0,0),le.emplaceBack(1,0),le.emplaceBack(0,1),le.emplaceBack(1,1),this.viewportBuffer=w.createVertexBuffer(le,vo.members),this.viewportSegments=a.a0.simpleSegment(0,0,4,2);let qe=new a.aZ;qe.emplaceBack(0),qe.emplaceBack(1),qe.emplaceBack(3),qe.emplaceBack(2),qe.emplaceBack(0),this.tileBorderIndexBuffer=w.createIndexBuffer(qe);let Xe=new a.aY;Xe.emplaceBack(0,1,2),Xe.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=w.createIndexBuffer(Xe);let ot=this.context.gl;this.stencilClearMode=new Yo({func:ot.ALWAYS,mask:0},0,255,ot.ZERO,ot.ZERO,ot.ZERO)}clearStencil(){let w=this.context,B=w.gl;this.nextStencilID=1,this.currentStencilSource=void 0;let Q=a.H();a.aP(Q,0,this.width,this.height,0,0,1),a.K(Q,Q,[B.drawingBufferWidth,B.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(w,B.TRIANGLES,Po.disabled,this.stencilClearMode,qs.disabled,Pa.disabled,Lo(Q),null,\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)}_renderTileClippingMasks(w,B){if(this.currentStencilSource===w.source||!w.isTileClipped()||!B||!B.length)return;this.currentStencilSource=w.source;let Q=this.context,ee=Q.gl;this.nextStencilID+B.length>256&&this.clearStencil(),Q.setColorMode(qs.disabled),Q.setDepthMode(Po.disabled);let le=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(let qe of B){let Xe=this._tileClippingMaskIDs[qe.key]=this.nextStencilID++,ot=this.style.map.terrain&&this.style.map.terrain.getTerrainData(qe);le.draw(Q,ee.TRIANGLES,Po.disabled,new Yo({func:ee.ALWAYS,mask:0},Xe,255,ee.KEEP,ee.KEEP,ee.REPLACE),qs.disabled,Pa.disabled,Lo(qe.posMatrix),ot,\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}stencilModeFor3D(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();let w=this.nextStencilID++,B=this.context.gl;return new Yo({func:B.NOTEQUAL,mask:255},w,255,B.KEEP,B.KEEP,B.REPLACE)}stencilModeForClipping(w){let B=this.context.gl;return new Yo({func:B.EQUAL,mask:255},this._tileClippingMaskIDs[w.key],0,B.KEEP,B.KEEP,B.REPLACE)}stencilConfigForOverlap(w){let B=this.context.gl,Q=w.sort((qe,Xe)=>Xe.overscaledZ-qe.overscaledZ),ee=Q[Q.length-1].overscaledZ,le=Q[0].overscaledZ-ee+1;if(le>1){this.currentStencilSource=void 0,this.nextStencilID+le>256&&this.clearStencil();let qe={};for(let Xe=0;Xe<le;Xe++)qe[Xe+ee]=new Yo({func:B.GEQUAL,mask:255},Xe+this.nextStencilID,255,B.KEEP,B.KEEP,B.REPLACE);return this.nextStencilID+=le,[qe,Q]}return[{[ee]:Yo.disabled},Q]}colorModeForRenderPass(){let w=this.context.gl;return this._showOverdrawInspector?new qs([w.CONSTANT_COLOR,w.ONE],new a.aM(.125,.125,.125,0),[!0,!0,!0,!0]):this.renderPass===\"opaque\"?qs.unblended:qs.alphaBlended}depthModeForSublayer(w,B,Q){if(!this.opaquePassEnabledForLayer())return Po.disabled;let ee=1-((1+this.currentLayer)*this.numSublayers+w)*this.depthEpsilon;return new Po(Q||this.context.gl.LEQUAL,B,[ee,ee])}opaquePassEnabledForLayer(){return this.currentLayer<this.opaquePassCutoff}render(w,B){this.style=w,this.options=B,this.lineAtlas=w.lineAtlas,this.imageManager=w.imageManager,this.glyphManager=w.glyphManager,this.symbolFadeChange=w.placement.symbolFadeChange(u.now()),this.imageManager.beginFrame();let Q=this.style._order,ee=this.style.sourceCaches,le={},qe={},Xe={};for(let ot in ee){let Tt=ee[ot];Tt.used&&Tt.prepare(this.context),le[ot]=Tt.getVisibleCoordinates(),qe[ot]=le[ot].slice().reverse(),Xe[ot]=Tt.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(let ot=0;ot<Q.length;ot++)if(this.style._layers[Q[ot]].is3D()){this.opaquePassCutoff=ot;break}this.maybeDrawDepthAndCoords(!1),this.renderToTexture&&(this.renderToTexture.prepareForRender(this.style,this.transform.zoom),this.opaquePassCutoff=0),this.renderPass=\"offscreen\";for(let ot of Q){let Tt=this.style._layers[ot];if(!Tt.hasOffscreenPass()||Tt.isHidden(this.transform.zoom))continue;let Yt=qe[Tt.source];(Tt.type===\"custom\"||Yt.length)&&this.renderLayer(this,ee[Tt.source],Tt,Yt)}if(this.context.bindFramebuffer.set(null),this.context.clear({color:B.showOverdrawInspector?a.aM.black:a.aM.transparent,depth:1}),this.clearStencil(),this.style.sky&&function(ot,Tt){let Yt=ot.context,Kt=Yt.gl,xr=((Be,et,We)=>({u_sky_color:Be.properties.get(\"sky-color\"),u_horizon_color:Be.properties.get(\"horizon-color\"),u_horizon:(et.height/2+et.getHorizon())*We,u_sky_horizon_blend:Be.properties.get(\"sky-horizon-blend\")*et.height/2*We}))(Tt,ot.style.map.transform,ot.pixelRatio),Ir=new Po(Kt.LEQUAL,Po.ReadWrite,[0,1]),ve=Yo.disabled,be=ot.colorModeForRenderPass(),De=ot.useProgram(\"sky\");if(!Tt.mesh){let Be=new a.aX;Be.emplaceBack(-1,-1),Be.emplaceBack(1,-1),Be.emplaceBack(1,1),Be.emplaceBack(-1,1);let et=new a.aY;et.emplaceBack(0,1,2),et.emplaceBack(0,2,3),Tt.mesh=new Eu(Yt.createVertexBuffer(Be,vo.members),Yt.createIndexBuffer(et),a.a0.simpleSegment(0,0,Be.length,et.length))}De.draw(Yt,Kt.TRIANGLES,Ir,ve,be,Pa.disabled,xr,void 0,\"sky\",Tt.mesh.vertexBuffer,Tt.mesh.indexBuffer,Tt.mesh.segments)}(this,this.style.sky),this._showOverdrawInspector=B.showOverdrawInspector,this.depthRangeFor3D=[0,1-(w._order.length+2)*this.numSublayers*this.depthEpsilon],!this.renderToTexture)for(this.renderPass=\"opaque\",this.currentLayer=Q.length-1;this.currentLayer>=0;this.currentLayer--){let ot=this.style._layers[Q[this.currentLayer]],Tt=ee[ot.source],Yt=le[ot.source];this._renderTileClippingMasks(ot,Yt),this.renderLayer(this,Tt,ot,Yt)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<Q.length;this.currentLayer++){let ot=this.style._layers[Q[this.currentLayer]],Tt=ee[ot.source];if(this.renderToTexture&&this.renderToTexture.renderLayer(ot))continue;let Yt=(ot.type===\"symbol\"?Xe:qe)[ot.source];this._renderTileClippingMasks(ot,le[ot.source]),this.renderLayer(this,Tt,ot,Yt)}if(this.options.showTileBoundaries){let ot=function(Tt,Yt){let Kt=null,xr=Object.values(Tt._layers).flatMap(De=>De.source&&!De.isHidden(Yt)?[Tt.sourceCaches[De.source]]:[]),Ir=xr.filter(De=>De.getSource().type===\"vector\"),ve=xr.filter(De=>De.getSource().type!==\"vector\"),be=De=>{(!Kt||Kt.getSource().maxzoom<De.getSource().maxzoom)&&(Kt=De)};return Ir.forEach(De=>be(De)),Kt||ve.forEach(De=>be(De)),Kt}(this.style,this.transform.zoom);ot&&function(Tt,Yt,Kt){for(let xr=0;xr<Kt.length;xr++)ih(Tt,Yt,Kt[xr])}(this,ot,ot.getVisibleCoordinates())}this.options.showPadding&&function(ot){let Tt=ot.transform.padding;sf(ot,ot.transform.height-(Tt.top||0),3,Rc),sf(ot,Tt.bottom||0,3,gs),Th(ot,Tt.left||0,3,jf),Th(ot,ot.transform.width-(Tt.right||0),3,Gh);let Yt=ot.transform.centerPoint;(function(Kt,xr,Ir,ve){Mu(Kt,xr-1,Ir-10,2,20,ve),Mu(Kt,xr-10,Ir-1,20,2,ve)})(ot,Yt.x,ot.transform.height-Yt.y,rh)}(this),this.context.setDefault()}maybeDrawDepthAndCoords(w){if(!this.style||!this.style.map||!this.style.map.terrain)return;let B=this.terrainFacilitator.matrix,Q=this.transform.modelViewProjectionMatrix,ee=this.terrainFacilitator.dirty;ee||(ee=w?!a.a_(B,Q):!a.a$(B,Q)),ee||(ee=this.style.map.terrain.sourceCache.tilesAfterTime(this.terrainFacilitator.renderTime).length>0),ee&&(a.b0(B,Q),this.terrainFacilitator.renderTime=Date.now(),this.terrainFacilitator.dirty=!1,function(le,qe){let Xe=le.context,ot=Xe.gl,Tt=qs.unblended,Yt=new Po(ot.LEQUAL,Po.ReadWrite,[0,1]),Kt=qe.getTerrainMesh(),xr=qe.sourceCache.getRenderableTiles(),Ir=le.useProgram(\"terrainDepth\");Xe.bindFramebuffer.set(qe.getFramebuffer(\"depth\").framebuffer),Xe.viewport.set([0,0,le.width/devicePixelRatio,le.height/devicePixelRatio]),Xe.clear({color:a.aM.transparent,depth:1});for(let ve of xr){let be=qe.getTerrainData(ve.tileID),De={u_matrix:le.transform.calculatePosMatrix(ve.tileID.toUnwrapped()),u_ele_delta:qe.getMeshFrameDelta(le.transform.zoom)};Ir.draw(Xe,ot.TRIANGLES,Yt,Yo.disabled,Tt,Pa.backCCW,De,be,\"terrain\",Kt.vertexBuffer,Kt.indexBuffer,Kt.segments)}Xe.bindFramebuffer.set(null),Xe.viewport.set([0,0,le.width,le.height])}(this,this.style.map.terrain),function(le,qe){let Xe=le.context,ot=Xe.gl,Tt=qs.unblended,Yt=new Po(ot.LEQUAL,Po.ReadWrite,[0,1]),Kt=qe.getTerrainMesh(),xr=qe.getCoordsTexture(),Ir=qe.sourceCache.getRenderableTiles(),ve=le.useProgram(\"terrainCoords\");Xe.bindFramebuffer.set(qe.getFramebuffer(\"coords\").framebuffer),Xe.viewport.set([0,0,le.width/devicePixelRatio,le.height/devicePixelRatio]),Xe.clear({color:a.aM.transparent,depth:1}),qe.coordsIndex=[];for(let be of Ir){let De=qe.getTerrainData(be.tileID);Xe.activeTexture.set(ot.TEXTURE0),ot.bindTexture(ot.TEXTURE_2D,xr.texture);let Be={u_matrix:le.transform.calculatePosMatrix(be.tileID.toUnwrapped()),u_terrain_coords_id:(255-qe.coordsIndex.length)/255,u_texture:0,u_ele_delta:qe.getMeshFrameDelta(le.transform.zoom)};ve.draw(Xe,ot.TRIANGLES,Yt,Yo.disabled,Tt,Pa.backCCW,Be,De,\"terrain\",Kt.vertexBuffer,Kt.indexBuffer,Kt.segments),qe.coordsIndex.push(be.tileID.key)}Xe.bindFramebuffer.set(null),Xe.viewport.set([0,0,le.width,le.height])}(this,this.style.map.terrain))}renderLayer(w,B,Q,ee){if(!Q.isHidden(this.transform.zoom)&&(Q.type===\"background\"||Q.type===\"custom\"||(ee||[]).length))switch(this.id=Q.id,Q.type){case\"symbol\":(function(le,qe,Xe,ot,Tt){if(le.renderPass!==\"translucent\")return;let Yt=Yo.disabled,Kt=le.colorModeForRenderPass();(Xe._unevaluatedLayout.hasValue(\"text-variable-anchor\")||Xe._unevaluatedLayout.hasValue(\"text-variable-anchor-offset\"))&&function(xr,Ir,ve,be,De,Be,et,We,it){let Ft=Ir.transform,Ht=yn(),tr=De===\"map\",dr=Be===\"map\";for(let Sr of xr){let Or=be.getTile(Sr),Wr=Or.getBucket(ve);if(!Wr||!Wr.text||!Wr.text.segments.get().length)continue;let ni=a.ag(Wr.textSizeData,Ft.zoom),Pi=In(Or,1,Ir.transform.zoom),cn=Br(Sr.posMatrix,dr,tr,Ir.transform,Pi),ln=ve.layout.get(\"icon-text-fit\")!==\"none\"&&Wr.hasIconData();if(ni){let Cn=Math.pow(2,Ft.zoom-Or.tileID.overscaledZ),Kn=Ir.style.map.terrain?(fa,$a)=>Ir.style.map.terrain.getElevation(Sr,fa,$a):null,Ta=Ht.translatePosition(Ft,Or,et,We);yf(Wr,tr,dr,it,Ft,cn,Sr.posMatrix,Cn,ni,ln,Ht,Ta,Sr.toUnwrapped(),Kn)}}}(ot,le,Xe,qe,Xe.layout.get(\"text-rotation-alignment\"),Xe.layout.get(\"text-pitch-alignment\"),Xe.paint.get(\"text-translate\"),Xe.paint.get(\"text-translate-anchor\"),Tt),Xe.paint.get(\"icon-opacity\").constantOr(1)!==0&&wh(le,qe,Xe,ot,!1,Xe.paint.get(\"icon-translate\"),Xe.paint.get(\"icon-translate-anchor\"),Xe.layout.get(\"icon-rotation-alignment\"),Xe.layout.get(\"icon-pitch-alignment\"),Xe.layout.get(\"icon-keep-upright\"),Yt,Kt),Xe.paint.get(\"text-opacity\").constantOr(1)!==0&&wh(le,qe,Xe,ot,!0,Xe.paint.get(\"text-translate\"),Xe.paint.get(\"text-translate-anchor\"),Xe.layout.get(\"text-rotation-alignment\"),Xe.layout.get(\"text-pitch-alignment\"),Xe.layout.get(\"text-keep-upright\"),Yt,Kt),qe.map.showCollisionBoxes&&(Hu(le,qe,Xe,ot,!0),Hu(le,qe,Xe,ot,!1))})(w,B,Q,ee,this.style.placement.variableOffsets);break;case\"circle\":(function(le,qe,Xe,ot){if(le.renderPass!==\"translucent\")return;let Tt=Xe.paint.get(\"circle-opacity\"),Yt=Xe.paint.get(\"circle-stroke-width\"),Kt=Xe.paint.get(\"circle-stroke-opacity\"),xr=!Xe.layout.get(\"circle-sort-key\").isConstant();if(Tt.constantOr(1)===0&&(Yt.constantOr(1)===0||Kt.constantOr(1)===0))return;let Ir=le.context,ve=Ir.gl,be=le.depthModeForSublayer(0,Po.ReadOnly),De=Yo.disabled,Be=le.colorModeForRenderPass(),et=[];for(let We=0;We<ot.length;We++){let it=ot[We],Ft=qe.getTile(it),Ht=Ft.getBucket(Xe);if(!Ht)continue;let tr=Ht.programConfigurations.get(Xe.id),dr=le.useProgram(\"circle\",tr),Sr=Ht.layoutVertexBuffer,Or=Ht.indexBuffer,Wr=le.style.map.terrain&&le.style.map.terrain.getTerrainData(it),ni={programConfiguration:tr,program:dr,layoutVertexBuffer:Sr,indexBuffer:Or,uniformValues:_o(le,it,Ft,Xe),terrainData:Wr};if(xr){let Pi=Ht.segments.get();for(let cn of Pi)et.push({segments:new a.a0([cn]),sortKey:cn.sortKey,state:ni})}else et.push({segments:Ht.segments,sortKey:0,state:ni})}xr&&et.sort((We,it)=>We.sortKey-it.sortKey);for(let We of et){let{programConfiguration:it,program:Ft,layoutVertexBuffer:Ht,indexBuffer:tr,uniformValues:dr,terrainData:Sr}=We.state;Ft.draw(Ir,ve.TRIANGLES,be,De,Be,Pa.disabled,dr,Sr,Xe.id,Ht,tr,We.segments,Xe.paint,le.transform.zoom,it)}})(w,B,Q,ee);break;case\"heatmap\":(function(le,qe,Xe,ot){if(Xe.paint.get(\"heatmap-opacity\")===0)return;let Tt=le.context;if(le.style.map.terrain){for(let Yt of ot){let Kt=qe.getTile(Yt);qe.hasRenderableParent(Yt)||(le.renderPass===\"offscreen\"?_f(le,Kt,Xe,Yt):le.renderPass===\"translucent\"&&Yc(le,Xe,Yt))}Tt.viewport.set([0,0,le.width,le.height])}else le.renderPass===\"offscreen\"?function(Yt,Kt,xr,Ir){let ve=Yt.context,be=ve.gl,De=Yo.disabled,Be=new qs([be.ONE,be.ONE],a.aM.transparent,[!0,!0,!0,!0]);(function(et,We,it){let Ft=et.gl;et.activeTexture.set(Ft.TEXTURE1),et.viewport.set([0,0,We.width/4,We.height/4]);let Ht=it.heatmapFbos.get(a.aU);Ht?(Ft.bindTexture(Ft.TEXTURE_2D,Ht.colorAttachment.get()),et.bindFramebuffer.set(Ht.framebuffer)):(Ht=eh(et,We.width/4,We.height/4),it.heatmapFbos.set(a.aU,Ht))})(ve,Yt,xr),ve.clear({color:a.aM.transparent});for(let et=0;et<Ir.length;et++){let We=Ir[et];if(Kt.hasRenderableParent(We))continue;let it=Kt.getTile(We),Ft=it.getBucket(xr);if(!Ft)continue;let Ht=Ft.programConfigurations.get(xr.id),tr=Yt.useProgram(\"heatmap\",Ht),{zoom:dr}=Yt.transform;tr.draw(ve,be.TRIANGLES,Po.disabled,De,Be,Pa.disabled,ko(We.posMatrix,it,dr,xr.paint.get(\"heatmap-intensity\")),null,xr.id,Ft.layoutVertexBuffer,Ft.indexBuffer,Ft.segments,xr.paint,Yt.transform.zoom,Ht)}ve.viewport.set([0,0,Yt.width,Yt.height])}(le,qe,Xe,ot):le.renderPass===\"translucent\"&&function(Yt,Kt){let xr=Yt.context,Ir=xr.gl;xr.setColorMode(Yt.colorModeForRenderPass());let ve=Kt.heatmapFbos.get(a.aU);ve&&(xr.activeTexture.set(Ir.TEXTURE0),Ir.bindTexture(Ir.TEXTURE_2D,ve.colorAttachment.get()),xr.activeTexture.set(Ir.TEXTURE1),th(xr,Kt).bind(Ir.LINEAR,Ir.CLAMP_TO_EDGE),Yt.useProgram(\"heatmapTexture\").draw(xr,Ir.TRIANGLES,Po.disabled,Yo.disabled,Yt.colorModeForRenderPass(),Pa.disabled,Ds(Yt,Kt,0,1),null,Kt.id,Yt.viewportBuffer,Yt.quadTriangleIndexBuffer,Yt.viewportSegments,Kt.paint,Yt.transform.zoom))}(le,Xe)})(w,B,Q,ee);break;case\"line\":(function(le,qe,Xe,ot){if(le.renderPass!==\"translucent\")return;let Tt=Xe.paint.get(\"line-opacity\"),Yt=Xe.paint.get(\"line-width\");if(Tt.constantOr(1)===0||Yt.constantOr(1)===0)return;let Kt=le.depthModeForSublayer(0,Po.ReadOnly),xr=le.colorModeForRenderPass(),Ir=Xe.paint.get(\"line-dasharray\"),ve=Xe.paint.get(\"line-pattern\"),be=ve.constantOr(1),De=Xe.paint.get(\"line-gradient\"),Be=Xe.getCrossfadeParameters(),et=be?\"linePattern\":Ir?\"lineSDF\":De?\"lineGradient\":\"line\",We=le.context,it=We.gl,Ft=!0;for(let Ht of ot){let tr=qe.getTile(Ht);if(be&&!tr.patternsLoaded())continue;let dr=tr.getBucket(Xe);if(!dr)continue;let Sr=dr.programConfigurations.get(Xe.id),Or=le.context.program.get(),Wr=le.useProgram(et,Sr),ni=Ft||Wr.program!==Or,Pi=le.style.map.terrain&&le.style.map.terrain.getTerrainData(Ht),cn=ve.constantOr(null);if(cn&&tr.imageAtlas){let Kn=tr.imageAtlas,Ta=Kn.patternPositions[cn.to.toString()],fa=Kn.patternPositions[cn.from.toString()];Ta&&fa&&Sr.setConstantPatternPositions(Ta,fa)}let ln=Pi?Ht:null,Cn=be?zl(le,tr,Xe,Be,ln):Ir?us(le,tr,Xe,Ir,Be,ln):De?ul(le,tr,Xe,dr.lineClipsArray.length,ln):ll(le,tr,Xe,ln);if(be)We.activeTexture.set(it.TEXTURE0),tr.imageAtlasTexture.bind(it.LINEAR,it.CLAMP_TO_EDGE),Sr.updatePaintBuffers(Be);else if(Ir&&(ni||le.lineAtlas.dirty))We.activeTexture.set(it.TEXTURE0),le.lineAtlas.bind(We);else if(De){let Kn=dr.gradients[Xe.id],Ta=Kn.texture;if(Xe.gradientVersion!==Kn.version){let fa=256;if(Xe.stepInterpolant){let $a=qe.getSource().maxzoom,Co=Ht.canonical.z===$a?Math.ceil(1<<le.transform.maxZoom-Ht.canonical.z):1;fa=a.ac(a.aV(dr.maxLineLength/a.X*1024*Co),256,We.maxTextureSize)}Kn.gradient=a.aW({expression:Xe.gradientExpression(),evaluationKey:\"lineProgress\",resolution:fa,image:Kn.gradient||void 0,clips:dr.lineClipsArray}),Kn.texture?Kn.texture.update(Kn.gradient):Kn.texture=new g(We,Kn.gradient,it.RGBA),Kn.version=Xe.gradientVersion,Ta=Kn.texture}We.activeTexture.set(it.TEXTURE0),Ta.bind(Xe.stepInterpolant?it.NEAREST:it.LINEAR,it.CLAMP_TO_EDGE)}Wr.draw(We,it.TRIANGLES,Kt,le.stencilModeForClipping(Ht),xr,Pa.disabled,Cn,Pi,Xe.id,dr.layoutVertexBuffer,dr.indexBuffer,dr.segments,Xe.paint,le.transform.zoom,Sr,dr.layoutVertexBuffer2),Ft=!1}})(w,B,Q,ee);break;case\"fill\":(function(le,qe,Xe,ot){let Tt=Xe.paint.get(\"fill-color\"),Yt=Xe.paint.get(\"fill-opacity\");if(Yt.constantOr(1)===0)return;let Kt=le.colorModeForRenderPass(),xr=Xe.paint.get(\"fill-pattern\"),Ir=le.opaquePassEnabledForLayer()&&!xr.constantOr(1)&&Tt.constantOr(a.aM.transparent).a===1&&Yt.constantOr(0)===1?\"opaque\":\"translucent\";if(le.renderPass===Ir){let ve=le.depthModeForSublayer(1,le.renderPass===\"opaque\"?Po.ReadWrite:Po.ReadOnly);Hf(le,qe,Xe,ot,ve,Kt,!1)}if(le.renderPass===\"translucent\"&&Xe.paint.get(\"fill-antialias\")){let ve=le.depthModeForSublayer(Xe.getPaintProperty(\"fill-outline-color\")?2:0,Po.ReadOnly);Hf(le,qe,Xe,ot,ve,Kt,!0)}})(w,B,Q,ee);break;case\"fill-extrusion\":(function(le,qe,Xe,ot){let Tt=Xe.paint.get(\"fill-extrusion-opacity\");if(Tt!==0&&le.renderPass===\"translucent\"){let Yt=new Po(le.context.gl.LEQUAL,Po.ReadWrite,le.depthRangeFor3D);if(Tt!==1||Xe.paint.get(\"fill-extrusion-pattern\").constantOr(1))cc(le,qe,Xe,ot,Yt,Yo.disabled,qs.disabled),cc(le,qe,Xe,ot,Yt,le.stencilModeFor3D(),le.colorModeForRenderPass());else{let Kt=le.colorModeForRenderPass();cc(le,qe,Xe,ot,Yt,Yo.disabled,Kt)}}})(w,B,Q,ee);break;case\"hillshade\":(function(le,qe,Xe,ot){if(le.renderPass!==\"offscreen\"&&le.renderPass!==\"translucent\")return;let Tt=le.context,Yt=le.depthModeForSublayer(0,Po.ReadOnly),Kt=le.colorModeForRenderPass(),[xr,Ir]=le.renderPass===\"translucent\"?le.stencilConfigForOverlap(ot):[{},ot];for(let ve of Ir){let be=qe.getTile(ve);be.needsHillshadePrepare!==void 0&&be.needsHillshadePrepare&&le.renderPass===\"offscreen\"?Nl(le,be,Xe,Yt,Yo.disabled,Kt):le.renderPass===\"translucent\"&&of(le,ve,be,Xe,Yt,xr[ve.overscaledZ],Kt)}Tt.viewport.set([0,0,le.width,le.height])})(w,B,Q,ee);break;case\"raster\":(function(le,qe,Xe,ot){if(le.renderPass!==\"translucent\"||Xe.paint.get(\"raster-opacity\")===0||!ot.length)return;let Tt=le.context,Yt=Tt.gl,Kt=qe.getSource(),xr=le.useProgram(\"raster\"),Ir=le.colorModeForRenderPass(),[ve,be]=Kt instanceof Gt?[{},ot]:le.stencilConfigForOverlap(ot),De=be[be.length-1].overscaledZ,Be=!le.options.moving;for(let et of be){let We=le.depthModeForSublayer(et.overscaledZ-De,Xe.paint.get(\"raster-opacity\")===1?Po.ReadWrite:Po.ReadOnly,Yt.LESS),it=qe.getTile(et);it.registerFadeDuration(Xe.paint.get(\"raster-fade-duration\"));let Ft=qe.findLoadedParent(et,0),Ht=qe.findLoadedSibling(et),tr=Kc(it,Ft||Ht||null,qe,Xe,le.transform,le.style.map.terrain),dr,Sr,Or=Xe.paint.get(\"raster-resampling\")===\"nearest\"?Yt.NEAREST:Yt.LINEAR;Tt.activeTexture.set(Yt.TEXTURE0),it.texture.bind(Or,Yt.CLAMP_TO_EDGE,Yt.LINEAR_MIPMAP_NEAREST),Tt.activeTexture.set(Yt.TEXTURE1),Ft?(Ft.texture.bind(Or,Yt.CLAMP_TO_EDGE,Yt.LINEAR_MIPMAP_NEAREST),dr=Math.pow(2,Ft.tileID.overscaledZ-it.tileID.overscaledZ),Sr=[it.tileID.canonical.x*dr%1,it.tileID.canonical.y*dr%1]):it.texture.bind(Or,Yt.CLAMP_TO_EDGE,Yt.LINEAR_MIPMAP_NEAREST),it.texture.useMipmap&&Tt.extTextureFilterAnisotropic&&le.transform.pitch>20&&Yt.texParameterf(Yt.TEXTURE_2D,Tt.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,Tt.extTextureFilterAnisotropicMax);let Wr=le.style.map.terrain&&le.style.map.terrain.getTerrainData(et),ni=Wr?et:null,Pi=ni?ni.posMatrix:le.transform.calculatePosMatrix(et.toUnwrapped(),Be),cn=cl(Pi,Sr||[0,0],dr||1,tr,Xe);Kt instanceof Gt?xr.draw(Tt,Yt.TRIANGLES,We,Yo.disabled,Ir,Pa.disabled,cn,Wr,Xe.id,Kt.boundsBuffer,le.quadTriangleIndexBuffer,Kt.boundsSegments):xr.draw(Tt,Yt.TRIANGLES,We,ve[et.overscaledZ],Ir,Pa.disabled,cn,Wr,Xe.id,le.rasterBoundsBuffer,le.quadTriangleIndexBuffer,le.rasterBoundsSegments)}})(w,B,Q,ee);break;case\"background\":(function(le,qe,Xe,ot){let Tt=Xe.paint.get(\"background-color\"),Yt=Xe.paint.get(\"background-opacity\");if(Yt===0)return;let Kt=le.context,xr=Kt.gl,Ir=le.transform,ve=Ir.tileSize,be=Xe.paint.get(\"background-pattern\");if(le.isPatternMissing(be))return;let De=!be&&Tt.a===1&&Yt===1&&le.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(le.renderPass!==De)return;let Be=Yo.disabled,et=le.depthModeForSublayer(0,De===\"opaque\"?Po.ReadWrite:Po.ReadOnly),We=le.colorModeForRenderPass(),it=le.useProgram(be?\"backgroundPattern\":\"background\"),Ft=ot||Ir.coveringTiles({tileSize:ve,terrain:le.style.map.terrain});be&&(Kt.activeTexture.set(xr.TEXTURE0),le.imageManager.bind(le.context));let Ht=Xe.getCrossfadeParameters();for(let tr of Ft){let dr=ot?tr.posMatrix:le.transform.calculatePosMatrix(tr.toUnwrapped()),Sr=be?Su(dr,Yt,le,be,{tileID:tr,tileSize:ve},Ht):Zl(dr,Yt,Tt),Or=le.style.map.terrain&&le.style.map.terrain.getTerrainData(tr);it.draw(Kt,xr.TRIANGLES,et,Be,We,Pa.disabled,Sr,Or,Xe.id,le.tileExtentBuffer,le.quadTriangleIndexBuffer,le.tileExtentSegments)}})(w,0,Q,ee);break;case\"custom\":(function(le,qe,Xe){let ot=le.context,Tt=Xe.implementation;if(le.renderPass===\"offscreen\"){let Yt=Tt.prerender;Yt&&(le.setCustomLayerDefaults(),ot.setColorMode(le.colorModeForRenderPass()),Yt.call(Tt,ot.gl,le.transform.customLayerMatrix()),ot.setDirty(),le.setBaseState())}else if(le.renderPass===\"translucent\"){le.setCustomLayerDefaults(),ot.setColorMode(le.colorModeForRenderPass()),ot.setStencilMode(Yo.disabled);let Yt=Tt.renderingMode===\"3d\"?new Po(le.context.gl.LEQUAL,Po.ReadWrite,le.depthRangeFor3D):le.depthModeForSublayer(0,Po.ReadOnly);ot.setDepthMode(Yt),Tt.render(ot.gl,le.transform.customLayerMatrix(),{farZ:le.transform.farZ,nearZ:le.transform.nearZ,fov:le.transform._fov,modelViewProjectionMatrix:le.transform.modelViewProjectionMatrix,projectionMatrix:le.transform.projectionMatrix}),ot.setDirty(),le.setBaseState(),ot.bindFramebuffer.set(null)}})(w,0,Q)}}translatePosMatrix(w,B,Q,ee,le){if(!Q[0]&&!Q[1])return w;let qe=le?ee===\"map\"?this.transform.angle:0:ee===\"viewport\"?-this.transform.angle:0;if(qe){let Tt=Math.sin(qe),Yt=Math.cos(qe);Q=[Q[0]*Yt-Q[1]*Tt,Q[0]*Tt+Q[1]*Yt]}let Xe=[le?Q[0]:In(B,Q[0],this.transform.zoom),le?Q[1]:In(B,Q[1],this.transform.zoom),0],ot=new Float32Array(16);return a.J(ot,w,Xe),ot}saveTileTexture(w){let B=this._tileTextures[w.size[0]];B?B.push(w):this._tileTextures[w.size[0]]=[w]}getTileTexture(w){let B=this._tileTextures[w];return B&&B.length>0?B.pop():null}isPatternMissing(w){if(!w)return!1;if(!w.from||!w.to)return!0;let B=this.imageManager.getPattern(w.from.toString()),Q=this.imageManager.getPattern(w.to.toString());return!B||!Q}useProgram(w,B){this.cache=this.cache||{};let Q=w+(B?B.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\")+(this.style.map.terrain?\"/terrain\":\"\");return this.cache[Q]||(this.cache[Q]=new hn(this.context,jn[w],B,nc[w],this._showOverdrawInspector,this.style.map.terrain)),this.cache[Q]}setCustomLayerDefaults(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()}setBaseState(){let w=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(w.FUNC_ADD)}initDebugOverlayCanvas(){this.debugOverlayCanvas==null&&(this.debugOverlayCanvas=document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512,this.debugOverlayTexture=new g(this.context,this.debugOverlayCanvas,this.context.gl.RGBA))}destroy(){this.debugOverlayTexture&&this.debugOverlayTexture.destroy()}overLimit(){let{drawingBufferWidth:w,drawingBufferHeight:B}=this.context.gl;return this.width!==w||this.height!==B}}class ks{constructor(w,B){this.points=w,this.planes=B}static fromInvProjectionMatrix(w,B,Q){let ee=Math.pow(2,Q),le=[[-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(Xe=>{let ot=1/(Xe=a.af([],Xe,w))[3]/B*ee;return a.b1(Xe,Xe,[ot,ot,1/Xe[3],ot])}),qe=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map(Xe=>{let ot=function(xr,Ir){var ve=Ir[0],be=Ir[1],De=Ir[2],Be=ve*ve+be*be+De*De;return Be>0&&(Be=1/Math.sqrt(Be)),xr[0]=Ir[0]*Be,xr[1]=Ir[1]*Be,xr[2]=Ir[2]*Be,xr}([],function(xr,Ir,ve){var be=Ir[0],De=Ir[1],Be=Ir[2],et=ve[0],We=ve[1],it=ve[2];return xr[0]=De*it-Be*We,xr[1]=Be*et-be*it,xr[2]=be*We-De*et,xr}([],L([],le[Xe[0]],le[Xe[1]]),L([],le[Xe[2]],le[Xe[1]]))),Tt=-((Yt=ot)[0]*(Kt=le[Xe[1]])[0]+Yt[1]*Kt[1]+Yt[2]*Kt[2]);var Yt,Kt;return ot.concat(Tt)});return new ks(le,qe)}}class bc{constructor(w,B){this.min=w,this.max=B,this.center=function(Q,ee,le){return Q[0]=.5*ee[0],Q[1]=.5*ee[1],Q[2]=.5*ee[2],Q}([],function(Q,ee,le){return Q[0]=ee[0]+le[0],Q[1]=ee[1]+le[1],Q[2]=ee[2]+le[2],Q}([],this.min,this.max))}quadrant(w){let B=[w%2==0,w<2],Q=E(this.min),ee=E(this.max);for(let le=0;le<B.length;le++)Q[le]=B[le]?this.min[le]:this.center[le],ee[le]=B[le]?this.center[le]:this.max[le];return ee[2]=this.max[2],new bc(Q,ee)}distanceX(w){return Math.max(Math.min(this.max[0],w[0]),this.min[0])-w[0]}distanceY(w){return Math.max(Math.min(this.max[1],w[1]),this.min[1])-w[1]}intersects(w){let B=[[this.min[0],this.min[1],this.min[2],1],[this.max[0],this.min[1],this.min[2],1],[this.max[0],this.max[1],this.min[2],1],[this.min[0],this.max[1],this.min[2],1],[this.min[0],this.min[1],this.max[2],1],[this.max[0],this.min[1],this.max[2],1],[this.max[0],this.max[1],this.max[2],1],[this.min[0],this.max[1],this.max[2],1]],Q=!0;for(let ee=0;ee<w.planes.length;ee++){let le=w.planes[ee],qe=0;for(let Xe=0;Xe<B.length;Xe++)a.b2(le,B[Xe])>=0&&qe++;if(qe===0)return 0;qe!==B.length&&(Q=!1)}if(Q)return 2;for(let ee=0;ee<3;ee++){let le=Number.MAX_VALUE,qe=-Number.MAX_VALUE;for(let Xe=0;Xe<w.points.length;Xe++){let ot=w.points[Xe][ee]-this.min[ee];le=Math.min(le,ot),qe=Math.max(qe,ot)}if(qe<0||le>this.max[ee]-this.min[ee])return 0}return 1}}class hu{constructor(w=0,B=0,Q=0,ee=0){if(isNaN(w)||w<0||isNaN(B)||B<0||isNaN(Q)||Q<0||isNaN(ee)||ee<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=w,this.bottom=B,this.left=Q,this.right=ee}interpolate(w,B,Q){return B.top!=null&&w.top!=null&&(this.top=a.y.number(w.top,B.top,Q)),B.bottom!=null&&w.bottom!=null&&(this.bottom=a.y.number(w.bottom,B.bottom,Q)),B.left!=null&&w.left!=null&&(this.left=a.y.number(w.left,B.left,Q)),B.right!=null&&w.right!=null&&(this.right=a.y.number(w.right,B.right,Q)),this}getCenter(w,B){let Q=a.ac((this.left+w-this.right)/2,0,w),ee=a.ac((this.top+B-this.bottom)/2,0,B);return new a.P(Q,ee)}equals(w){return this.top===w.top&&this.bottom===w.bottom&&this.left===w.left&&this.right===w.right}clone(){return new hu(this.top,this.bottom,this.left,this.right)}toJSON(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}}}let _u=85.051129;class nl{constructor(w,B,Q,ee,le){this.tileSize=512,this._renderWorldCopies=le===void 0||!!le,this._minZoom=w||0,this._maxZoom=B||22,this._minPitch=Q==null?0:Q,this._maxPitch=ee==null?60:ee,this.setMaxBounds(),this.width=0,this.height=0,this._center=new a.N(0,0),this._elevation=0,this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new hu,this._posMatrixCache={},this._alignedPosMatrixCache={},this._fogMatrixCache={},this.minElevationForCurrentTile=0}clone(){let w=new nl(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return w.apply(this),w}apply(w){this.tileSize=w.tileSize,this.latRange=w.latRange,this.lngRange=w.lngRange,this.width=w.width,this.height=w.height,this._center=w._center,this._elevation=w._elevation,this.minElevationForCurrentTile=w.minElevationForCurrentTile,this.zoom=w.zoom,this.angle=w.angle,this._fov=w._fov,this._pitch=w._pitch,this._unmodified=w._unmodified,this._edgeInsets=w._edgeInsets.clone(),this._calcMatrices()}get minZoom(){return this._minZoom}set minZoom(w){this._minZoom!==w&&(this._minZoom=w,this.zoom=Math.max(this.zoom,w))}get maxZoom(){return this._maxZoom}set maxZoom(w){this._maxZoom!==w&&(this._maxZoom=w,this.zoom=Math.min(this.zoom,w))}get minPitch(){return this._minPitch}set minPitch(w){this._minPitch!==w&&(this._minPitch=w,this.pitch=Math.max(this.pitch,w))}get maxPitch(){return this._maxPitch}set maxPitch(w){this._maxPitch!==w&&(this._maxPitch=w,this.pitch=Math.min(this.pitch,w))}get renderWorldCopies(){return this._renderWorldCopies}set renderWorldCopies(w){w===void 0?w=!0:w===null&&(w=!1),this._renderWorldCopies=w}get worldSize(){return this.tileSize*this.scale}get centerOffset(){return this.centerPoint._sub(this.size._div(2))}get size(){return new a.P(this.width,this.height)}get bearing(){return-this.angle/Math.PI*180}set bearing(w){let B=-a.b3(w,-180,180)*Math.PI/180;this.angle!==B&&(this._unmodified=!1,this.angle=B,this._calcMatrices(),this.rotationMatrix=function(){var Q=new a.A(4);return a.A!=Float32Array&&(Q[1]=0,Q[2]=0),Q[0]=1,Q[3]=1,Q}(),function(Q,ee,le){var qe=ee[0],Xe=ee[1],ot=ee[2],Tt=ee[3],Yt=Math.sin(le),Kt=Math.cos(le);Q[0]=qe*Kt+ot*Yt,Q[1]=Xe*Kt+Tt*Yt,Q[2]=qe*-Yt+ot*Kt,Q[3]=Xe*-Yt+Tt*Kt}(this.rotationMatrix,this.rotationMatrix,this.angle))}get pitch(){return this._pitch/Math.PI*180}set pitch(w){let B=a.ac(w,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==B&&(this._unmodified=!1,this._pitch=B,this._calcMatrices())}get fov(){return this._fov/Math.PI*180}set fov(w){w=Math.max(.01,Math.min(60,w)),this._fov!==w&&(this._unmodified=!1,this._fov=w/180*Math.PI,this._calcMatrices())}get zoom(){return this._zoom}set zoom(w){let B=Math.min(Math.max(w,this.minZoom),this.maxZoom);this._zoom!==B&&(this._unmodified=!1,this._zoom=B,this.tileZoom=Math.max(0,Math.floor(B)),this.scale=this.zoomScale(B),this._constrain(),this._calcMatrices())}get center(){return this._center}set center(w){w.lat===this._center.lat&&w.lng===this._center.lng||(this._unmodified=!1,this._center=w,this._constrain(),this._calcMatrices())}get elevation(){return this._elevation}set elevation(w){w!==this._elevation&&(this._elevation=w,this._constrain(),this._calcMatrices())}get padding(){return this._edgeInsets.toJSON()}set padding(w){this._edgeInsets.equals(w)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,w,1),this._calcMatrices())}get centerPoint(){return this._edgeInsets.getCenter(this.width,this.height)}isPaddingEqual(w){return this._edgeInsets.equals(w)}interpolatePadding(w,B,Q){this._unmodified=!1,this._edgeInsets.interpolate(w,B,Q),this._constrain(),this._calcMatrices()}coveringZoomLevel(w){let B=(w.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/w.tileSize));return Math.max(0,B)}getVisibleUnwrappedCoordinates(w){let B=[new a.b4(0,w)];if(this._renderWorldCopies){let Q=this.pointCoordinate(new a.P(0,0)),ee=this.pointCoordinate(new a.P(this.width,0)),le=this.pointCoordinate(new a.P(this.width,this.height)),qe=this.pointCoordinate(new a.P(0,this.height)),Xe=Math.floor(Math.min(Q.x,ee.x,le.x,qe.x)),ot=Math.floor(Math.max(Q.x,ee.x,le.x,qe.x)),Tt=1;for(let Yt=Xe-Tt;Yt<=ot+Tt;Yt++)Yt!==0&&B.push(new a.b4(Yt,w))}return B}coveringTiles(w){var B,Q;let ee=this.coveringZoomLevel(w),le=ee;if(w.minzoom!==void 0&&ee<w.minzoom)return[];w.maxzoom!==void 0&&ee>w.maxzoom&&(ee=w.maxzoom);let qe=this.pointCoordinate(this.getCameraPoint()),Xe=a.Z.fromLngLat(this.center),ot=Math.pow(2,ee),Tt=[ot*qe.x,ot*qe.y,0],Yt=[ot*Xe.x,ot*Xe.y,0],Kt=ks.fromInvProjectionMatrix(this.invModelViewProjectionMatrix,this.worldSize,ee),xr=w.minzoom||0;!w.terrain&&this.pitch<=60&&this._edgeInsets.top<.1&&(xr=ee);let Ir=w.terrain?2/Math.min(this.tileSize,w.tileSize)*this.tileSize:3,ve=We=>({aabb:new bc([We*ot,0,0],[(We+1)*ot,ot,0]),zoom:0,x:0,y:0,wrap:We,fullyVisible:!1}),be=[],De=[],Be=ee,et=w.reparseOverscaled?le:ee;if(this._renderWorldCopies)for(let We=1;We<=3;We++)be.push(ve(-We)),be.push(ve(We));for(be.push(ve(0));be.length>0;){let We=be.pop(),it=We.x,Ft=We.y,Ht=We.fullyVisible;if(!Ht){let Wr=We.aabb.intersects(Kt);if(Wr===0)continue;Ht=Wr===2}let tr=w.terrain?Tt:Yt,dr=We.aabb.distanceX(tr),Sr=We.aabb.distanceY(tr),Or=Math.max(Math.abs(dr),Math.abs(Sr));if(We.zoom===Be||Or>Ir+(1<<Be-We.zoom)-2&&We.zoom>=xr){let Wr=Be-We.zoom,ni=Tt[0]-.5-(it<<Wr),Pi=Tt[1]-.5-(Ft<<Wr);De.push({tileID:new a.S(We.zoom===Be?et:We.zoom,We.wrap,We.zoom,it,Ft),distanceSq:x([Yt[0]-.5-it,Yt[1]-.5-Ft]),tileDistanceToCamera:Math.sqrt(ni*ni+Pi*Pi)})}else for(let Wr=0;Wr<4;Wr++){let ni=(it<<1)+Wr%2,Pi=(Ft<<1)+(Wr>>1),cn=We.zoom+1,ln=We.aabb.quadrant(Wr);if(w.terrain){let Cn=new a.S(cn,We.wrap,cn,ni,Pi),Kn=w.terrain.getMinMaxElevation(Cn),Ta=(B=Kn.minElevation)!==null&&B!==void 0?B:this.elevation,fa=(Q=Kn.maxElevation)!==null&&Q!==void 0?Q:this.elevation;ln=new bc([ln.min[0],ln.min[1],Ta],[ln.max[0],ln.max[1],fa])}be.push({aabb:ln,zoom:cn,x:ni,y:Pi,wrap:We.wrap,fullyVisible:Ht})}}return De.sort((We,it)=>We.distanceSq-it.distanceSq).map(We=>We.tileID)}resize(w,B){this.width=w,this.height=B,this.pixelsToGLUnits=[2/w,-2/B],this._constrain(),this._calcMatrices()}get unmodified(){return this._unmodified}zoomScale(w){return Math.pow(2,w)}scaleZoom(w){return Math.log(w)/Math.LN2}project(w){let B=a.ac(w.lat,-85.051129,_u);return new a.P(a.O(w.lng)*this.worldSize,a.Q(B)*this.worldSize)}unproject(w){return new a.Z(w.x/this.worldSize,w.y/this.worldSize).toLngLat()}get point(){return this.project(this.center)}getCameraPosition(){return{lngLat:this.pointLocation(this.getCameraPoint()),altitude:Math.cos(this._pitch)*this.cameraToCenterDistance/this._pixelPerMeter+this.elevation}}recalculateZoom(w){let B=this.elevation,Q=Math.cos(this._pitch)*this.cameraToCenterDistance/this._pixelPerMeter,ee=this.pointLocation(this.centerPoint,w),le=w.getElevationForLngLatZoom(ee,this.tileZoom);if(!(this.elevation-le))return;let qe=Q+B-le,Xe=Math.cos(this._pitch)*this.cameraToCenterDistance/qe/a.b5(1,ee.lat),ot=this.scaleZoom(Xe/this.tileSize);this._elevation=le,this._center=ee,this.zoom=ot}setLocationAtPoint(w,B){let Q=this.pointCoordinate(B),ee=this.pointCoordinate(this.centerPoint),le=this.locationCoordinate(w),qe=new a.Z(le.x-(Q.x-ee.x),le.y-(Q.y-ee.y));this.center=this.coordinateLocation(qe),this._renderWorldCopies&&(this.center=this.center.wrap())}locationPoint(w,B){return B?this.coordinatePoint(this.locationCoordinate(w),B.getElevationForLngLatZoom(w,this.tileZoom),this.pixelMatrix3D):this.coordinatePoint(this.locationCoordinate(w))}pointLocation(w,B){return this.coordinateLocation(this.pointCoordinate(w,B))}locationCoordinate(w){return a.Z.fromLngLat(w)}coordinateLocation(w){return w&&w.toLngLat()}pointCoordinate(w,B){if(B){let xr=B.pointCoordinate(w);if(xr!=null)return xr}let Q=[w.x,w.y,0,1],ee=[w.x,w.y,1,1];a.af(Q,Q,this.pixelMatrixInverse),a.af(ee,ee,this.pixelMatrixInverse);let le=Q[3],qe=ee[3],Xe=Q[1]/le,ot=ee[1]/qe,Tt=Q[2]/le,Yt=ee[2]/qe,Kt=Tt===Yt?0:(0-Tt)/(Yt-Tt);return new a.Z(a.y.number(Q[0]/le,ee[0]/qe,Kt)/this.worldSize,a.y.number(Xe,ot,Kt)/this.worldSize)}coordinatePoint(w,B=0,Q=this.pixelMatrix){let ee=[w.x*this.worldSize,w.y*this.worldSize,B,1];return a.af(ee,ee,Q),new a.P(ee[0]/ee[3],ee[1]/ee[3])}getBounds(){let w=Math.max(0,this.height/2-this.getHorizon());return new ce().extend(this.pointLocation(new a.P(0,w))).extend(this.pointLocation(new a.P(this.width,w))).extend(this.pointLocation(new a.P(this.width,this.height))).extend(this.pointLocation(new a.P(0,this.height)))}getMaxBounds(){return this.latRange&&this.latRange.length===2&&this.lngRange&&this.lngRange.length===2?new ce([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null}getHorizon(){return Math.tan(Math.PI/2-this._pitch)*this.cameraToCenterDistance*.85}setMaxBounds(w){w?(this.lngRange=[w.getWest(),w.getEast()],this.latRange=[w.getSouth(),w.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-85.051129,_u])}calculateTileMatrix(w){let B=w.canonical,Q=this.worldSize/this.zoomScale(B.z),ee=B.x+Math.pow(2,B.z)*w.wrap,le=a.an(new Float64Array(16));return a.J(le,le,[ee*Q,B.y*Q,0]),a.K(le,le,[Q/a.X,Q/a.X,1]),le}calculatePosMatrix(w,B=!1){let Q=w.key,ee=B?this._alignedPosMatrixCache:this._posMatrixCache;if(ee[Q])return ee[Q];let le=this.calculateTileMatrix(w);return a.L(le,B?this.alignedModelViewProjectionMatrix:this.modelViewProjectionMatrix,le),ee[Q]=new Float32Array(le),ee[Q]}calculateFogMatrix(w){let B=w.key,Q=this._fogMatrixCache;if(Q[B])return Q[B];let ee=this.calculateTileMatrix(w);return a.L(ee,this.fogMatrix,ee),Q[B]=new Float32Array(ee),Q[B]}customLayerMatrix(){return this.mercatorMatrix.slice()}getConstrained(w,B){B=a.ac(+B,this.minZoom,this.maxZoom);let Q={center:new a.N(w.lng,w.lat),zoom:B},ee=this.lngRange;if(!this._renderWorldCopies&&ee===null){let We=179.9999999999;ee=[-We,We]}let le=this.tileSize*this.zoomScale(Q.zoom),qe=0,Xe=le,ot=0,Tt=le,Yt=0,Kt=0,{x:xr,y:Ir}=this.size;if(this.latRange){let We=this.latRange;qe=a.Q(We[1])*le,Xe=a.Q(We[0])*le,Xe-qe<Ir&&(Yt=Ir/(Xe-qe))}ee&&(ot=a.b3(a.O(ee[0])*le,0,le),Tt=a.b3(a.O(ee[1])*le,0,le),Tt<ot&&(Tt+=le),Tt-ot<xr&&(Kt=xr/(Tt-ot)));let{x:ve,y:be}=this.project.call({worldSize:le},w),De,Be,et=Math.max(Kt||0,Yt||0);if(et){let We=new a.P(Kt?(Tt+ot)/2:ve,Yt?(Xe+qe)/2:be);return Q.center=this.unproject.call({worldSize:le},We).wrap(),Q.zoom+=this.scaleZoom(et),Q}if(this.latRange){let We=Ir/2;be-We<qe&&(Be=qe+We),be+We>Xe&&(Be=Xe-We)}if(ee){let We=(ot+Tt)/2,it=ve;this._renderWorldCopies&&(it=a.b3(ve,We-le/2,We+le/2));let Ft=xr/2;it-Ft<ot&&(De=ot+Ft),it+Ft>Tt&&(De=Tt-Ft)}if(De!==void 0||Be!==void 0){let We=new a.P(De!=null?De:ve,Be!=null?Be:be);Q.center=this.unproject.call({worldSize:le},We).wrap()}return Q}_constrain(){if(!this.center||!this.width||!this.height||this._constraining)return;this._constraining=!0;let w=this._unmodified,{center:B,zoom:Q}=this.getConstrained(this.center,this.zoom);this.center=B,this.zoom=Q,this._unmodified=w,this._constraining=!1}_calcMatrices(){if(!this.height)return;let w=this.centerOffset,B=this.point.x,Q=this.point.y;this.cameraToCenterDistance=.5/Math.tan(this._fov/2)*this.height,this._pixelPerMeter=a.b5(1,this.center.lat)*this.worldSize;let ee=a.an(new Float64Array(16));a.K(ee,ee,[this.width/2,-this.height/2,1]),a.J(ee,ee,[1,-1,0]),this.labelPlaneMatrix=ee,ee=a.an(new Float64Array(16)),a.K(ee,ee,[1,-1,1]),a.J(ee,ee,[-1,-1,0]),a.K(ee,ee,[2/this.width,2/this.height,1]),this.glCoordMatrix=ee;let le=this.cameraToCenterDistance+this._elevation*this._pixelPerMeter/Math.cos(this._pitch),qe=Math.min(this.elevation,this.minElevationForCurrentTile),Xe=le-qe*this._pixelPerMeter/Math.cos(this._pitch),ot=qe<0?Xe:le,Tt=Math.PI/2+this._pitch,Yt=this._fov*(.5+w.y/this.height),Kt=Math.sin(Yt)*ot/Math.sin(a.ac(Math.PI-Tt-Yt,.01,Math.PI-.01)),xr=this.getHorizon(),Ir=2*Math.atan(xr/this.cameraToCenterDistance)*(.5+w.y/(2*xr)),ve=Math.sin(Ir)*ot/Math.sin(a.ac(Math.PI-Tt-Ir,.01,Math.PI-.01)),be=Math.min(Kt,ve);this.farZ=1.01*(Math.cos(Math.PI/2-this._pitch)*be+ot),this.nearZ=this.height/50,ee=new Float64Array(16),a.b6(ee,this._fov,this.width/this.height,this.nearZ,this.farZ),ee[8]=2*-w.x/this.width,ee[9]=2*w.y/this.height,this.projectionMatrix=a.ae(ee),a.K(ee,ee,[1,-1,1]),a.J(ee,ee,[0,0,-this.cameraToCenterDistance]),a.b7(ee,ee,this._pitch),a.ad(ee,ee,this.angle),a.J(ee,ee,[-B,-Q,0]),this.mercatorMatrix=a.K([],ee,[this.worldSize,this.worldSize,this.worldSize]),a.K(ee,ee,[1,1,this._pixelPerMeter]),this.pixelMatrix=a.L(new Float64Array(16),this.labelPlaneMatrix,ee),a.J(ee,ee,[0,0,-this.elevation]),this.modelViewProjectionMatrix=ee,this.invModelViewProjectionMatrix=a.as([],ee),this.fogMatrix=new Float64Array(16),a.b6(this.fogMatrix,this._fov,this.width/this.height,le,this.farZ),this.fogMatrix[8]=2*-w.x/this.width,this.fogMatrix[9]=2*w.y/this.height,a.K(this.fogMatrix,this.fogMatrix,[1,-1,1]),a.J(this.fogMatrix,this.fogMatrix,[0,0,-this.cameraToCenterDistance]),a.b7(this.fogMatrix,this.fogMatrix,this._pitch),a.ad(this.fogMatrix,this.fogMatrix,this.angle),a.J(this.fogMatrix,this.fogMatrix,[-B,-Q,0]),a.K(this.fogMatrix,this.fogMatrix,[1,1,this._pixelPerMeter]),a.J(this.fogMatrix,this.fogMatrix,[0,0,-this.elevation]),this.pixelMatrix3D=a.L(new Float64Array(16),this.labelPlaneMatrix,ee);let De=this.width%2/2,Be=this.height%2/2,et=Math.cos(this.angle),We=Math.sin(this.angle),it=B-Math.round(B)+et*De+We*Be,Ft=Q-Math.round(Q)+et*Be+We*De,Ht=new Float64Array(ee);if(a.J(Ht,Ht,[it>.5?it-1:it,Ft>.5?Ft-1:Ft,0]),this.alignedModelViewProjectionMatrix=Ht,ee=a.as(new Float64Array(16),this.pixelMatrix),!ee)throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=ee,this._posMatrixCache={},this._alignedPosMatrixCache={},this._fogMatrixCache={}}maxPitchScaleFactor(){if(!this.pixelMatrixInverse)return 1;let w=this.pointCoordinate(new a.P(0,0)),B=[w.x*this.worldSize,w.y*this.worldSize,0,1];return a.af(B,B,this.pixelMatrix)[3]/this.cameraToCenterDistance}getCameraPoint(){let w=Math.tan(this._pitch)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new a.P(0,w))}getCameraQueryGeometry(w){let B=this.getCameraPoint();if(w.length===1)return[w[0],B];{let Q=B.x,ee=B.y,le=B.x,qe=B.y;for(let Xe of w)Q=Math.min(Q,Xe.x),ee=Math.min(ee,Xe.y),le=Math.max(le,Xe.x),qe=Math.max(qe,Xe.y);return[new a.P(Q,ee),new a.P(le,ee),new a.P(le,qe),new a.P(Q,qe),new a.P(Q,ee)]}}lngLatToCameraDepth(w,B){let Q=this.locationCoordinate(w),ee=[Q.x*this.worldSize,Q.y*this.worldSize,B,1];return a.af(ee,ee,this.modelViewProjectionMatrix),ee[2]/ee[3]}}function nh(ue,w){let B,Q=!1,ee=null,le=null,qe=()=>{ee=null,Q&&(ue.apply(le,B),ee=setTimeout(qe,w),Q=!1)};return(...Xe)=>(Q=!0,le=this,B=Xe,ee||qe(),ee)}class Ah{constructor(w){this._getCurrentHash=()=>{let B=window.location.hash.replace(\"#\",\"\");if(this._hashName){let Q;return B.split(\"&\").map(ee=>ee.split(\"=\")).forEach(ee=>{ee[0]===this._hashName&&(Q=ee)}),(Q&&Q[1]||\"\").split(\"/\")}return B.split(\"/\")},this._onHashChange=()=>{let B=this._getCurrentHash();if(B.length>=3&&!B.some(Q=>isNaN(Q))){let Q=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(B[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+B[2],+B[1]],zoom:+B[0],bearing:Q,pitch:+(B[4]||0)}),!0}return!1},this._updateHashUnthrottled=()=>{let B=window.location.href.replace(/(#.*)?$/,this.getHashString());window.history.replaceState(window.history.state,null,B)},this._removeHash=()=>{let B=this._getCurrentHash();if(B.length===0)return;let Q=B.join(\"/\"),ee=Q;ee.split(\"&\").length>0&&(ee=ee.split(\"&\")[0]),this._hashName&&(ee=`${this._hashName}=${Q}`);let le=window.location.hash.replace(ee,\"\");le.startsWith(\"#&\")?le=le.slice(0,1)+le.slice(2):le===\"#\"&&(le=\"\");let qe=window.location.href.replace(/(#.+)?$/,le);qe=qe.replace(\"&&\",\"&\"),window.history.replaceState(window.history.state,null,qe)},this._updateHash=nh(this._updateHashUnthrottled,300),this._hashName=w&&encodeURIComponent(w)}addTo(w){return this._map=w,addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this}remove(){return removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),this._removeHash(),delete this._map,this}getHashString(w){let B=this._map.getCenter(),Q=Math.round(100*this._map.getZoom())/100,ee=Math.ceil((Q*Math.LN2+Math.log(512/360/.5))/Math.LN10),le=Math.pow(10,ee),qe=Math.round(B.lng*le)/le,Xe=Math.round(B.lat*le)/le,ot=this._map.getBearing(),Tt=this._map.getPitch(),Yt=\"\";if(Yt+=w?`/${qe}/${Xe}/${Q}`:`${Q}/${Xe}/${qe}`,(ot||Tt)&&(Yt+=\"/\"+Math.round(10*ot)/10),Tt&&(Yt+=`/${Math.round(Tt)}`),this._hashName){let Kt=this._hashName,xr=!1,Ir=window.location.hash.slice(1).split(\"&\").map(ve=>{let be=ve.split(\"=\")[0];return be===Kt?(xr=!0,`${be}=${Yt}`):ve}).filter(ve=>ve);return xr||Ir.push(`${Kt}=${Yt}`),`#${Ir.join(\"&\")}`}return`#${Yt}`}}let zu={linearity:.3,easing:a.b8(0,0,.3,1)},Fc=a.e({deceleration:2500,maxSpeed:1400},zu),wc=a.e({deceleration:20,maxSpeed:1400},zu),bd=a.e({deceleration:1e3,maxSpeed:360},zu),xf=a.e({deceleration:1e3,maxSpeed:90},zu);class Pf{constructor(w){this._map=w,this.clear()}clear(){this._inertiaBuffer=[]}record(w){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:u.now(),settings:w})}_drainInertiaBuffer(){let w=this._inertiaBuffer,B=u.now();for(;w.length>0&&B-w[0].time>160;)w.shift()}_onMoveEnd(w){if(this._drainInertiaBuffer(),this._inertiaBuffer.length<2)return;let B={zoom:0,bearing:0,pitch:0,pan:new a.P(0,0),pinchAround:void 0,around:void 0};for(let{settings:le}of this._inertiaBuffer)B.zoom+=le.zoomDelta||0,B.bearing+=le.bearingDelta||0,B.pitch+=le.pitchDelta||0,le.panDelta&&B.pan._add(le.panDelta),le.around&&(B.around=le.around),le.pinchAround&&(B.pinchAround=le.pinchAround);let Q=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,ee={};if(B.pan.mag()){let le=bf(B.pan.mag(),Q,a.e({},Fc,w||{}));ee.offset=B.pan.mult(le.amount/B.pan.mag()),ee.center=this._map.transform.center,Ou(ee,le)}if(B.zoom){let le=bf(B.zoom,Q,wc);ee.zoom=this._map.transform.zoom+le.amount,Ou(ee,le)}if(B.bearing){let le=bf(B.bearing,Q,bd);ee.bearing=this._map.transform.bearing+a.ac(le.amount,-179,179),Ou(ee,le)}if(B.pitch){let le=bf(B.pitch,Q,xf);ee.pitch=this._map.transform.pitch+le.amount,Ou(ee,le)}if(ee.zoom||ee.bearing){let le=B.pinchAround===void 0?B.around:B.pinchAround;ee.around=le?this._map.unproject(le):this._map.getCenter()}return this.clear(),a.e(ee,{noMoveStart:!0})}}function Ou(ue,w){(!ue.duration||ue.duration<w.duration)&&(ue.duration=w.duration,ue.easing=w.easing)}function bf(ue,w,B){let{maxSpeed:Q,linearity:ee,deceleration:le}=B,qe=a.ac(ue*ee/(w/1e3),-Q,Q),Xe=Math.abs(qe)/(le*ee);return{easing:B.easing,duration:1e3*Xe,amount:qe*(Xe/2)}}class jl extends a.k{preventDefault(){this._defaultPrevented=!0}get defaultPrevented(){return this._defaultPrevented}constructor(w,B,Q,ee={}){let le=c.mousePos(B.getCanvas(),Q),qe=B.unproject(le);super(w,a.e({point:le,lngLat:qe,originalEvent:Q},ee)),this._defaultPrevented=!1,this.target=B}}class lf extends a.k{preventDefault(){this._defaultPrevented=!0}get defaultPrevented(){return this._defaultPrevented}constructor(w,B,Q){let ee=w===\"touchend\"?Q.changedTouches:Q.touches,le=c.touchPos(B.getCanvasContainer(),ee),qe=le.map(ot=>B.unproject(ot)),Xe=le.reduce((ot,Tt,Yt,Kt)=>ot.add(Tt.div(Kt.length)),new a.P(0,0));super(w,{points:le,point:Xe,lngLats:qe,lngLat:B.unproject(Xe),originalEvent:Q}),this._defaultPrevented=!1}}class Hh extends a.k{preventDefault(){this._defaultPrevented=!0}get defaultPrevented(){return this._defaultPrevented}constructor(w,B,Q){super(w,{originalEvent:Q}),this._defaultPrevented=!1}}class If{constructor(w,B){this._map=w,this._clickTolerance=B.clickTolerance}reset(){delete this._mousedownPos}wheel(w){return this._firePreventable(new Hh(w.type,this._map,w))}mousedown(w,B){return this._mousedownPos=B,this._firePreventable(new jl(w.type,this._map,w))}mouseup(w){this._map.fire(new jl(w.type,this._map,w))}click(w,B){this._mousedownPos&&this._mousedownPos.dist(B)>=this._clickTolerance||this._map.fire(new jl(w.type,this._map,w))}dblclick(w){return this._firePreventable(new jl(w.type,this._map,w))}mouseover(w){this._map.fire(new jl(w.type,this._map,w))}mouseout(w){this._map.fire(new jl(w.type,this._map,w))}touchstart(w){return this._firePreventable(new lf(w.type,this._map,w))}touchmove(w){this._map.fire(new lf(w.type,this._map,w))}touchend(w){this._map.fire(new lf(w.type,this._map,w))}touchcancel(w){this._map.fire(new lf(w.type,this._map,w))}_firePreventable(w){if(this._map.fire(w),w.defaultPrevented)return{}}isEnabled(){return!0}isActive(){return!1}enable(){}disable(){}}class Cs{constructor(w){this._map=w}reset(){this._delayContextMenu=!1,this._ignoreContextMenu=!0,delete this._contextMenuEvent}mousemove(w){this._map.fire(new jl(w.type,this._map,w))}mousedown(){this._delayContextMenu=!0,this._ignoreContextMenu=!1}mouseup(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new jl(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)}contextmenu(w){this._delayContextMenu?this._contextMenuEvent=w:this._ignoreContextMenu||this._map.fire(new jl(w.type,this._map,w)),this._map.listens(\"contextmenu\")&&w.preventDefault()}isEnabled(){return!0}isActive(){return!1}enable(){}disable(){}}class du{constructor(w){this._map=w}get transform(){return this._map._requestedCameraState||this._map.transform}get center(){return{lng:this.transform.center.lng,lat:this.transform.center.lat}}get zoom(){return this.transform.zoom}get pitch(){return this.transform.pitch}get bearing(){return this.transform.bearing}unproject(w){return this.transform.pointLocation(a.P.convert(w),this._map.terrain)}}class ku{constructor(w,B){this._map=w,this._tr=new du(w),this._el=w.getCanvasContainer(),this._container=w.getContainer(),this._clickTolerance=B.clickTolerance||1}isEnabled(){return!!this._enabled}isActive(){return!!this._active}enable(){this.isEnabled()||(this._enabled=!0)}disable(){this.isEnabled()&&(this._enabled=!1)}mousedown(w,B){this.isEnabled()&&w.shiftKey&&w.button===0&&(c.disableDrag(),this._startPos=this._lastPos=B,this._active=!0)}mousemoveWindow(w,B){if(!this._active)return;let Q=B;if(this._lastPos.equals(Q)||!this._box&&Q.dist(this._startPos)<this._clickTolerance)return;let ee=this._startPos;this._lastPos=Q,this._box||(this._box=c.create(\"div\",\"maplibregl-boxzoom\",this._container),this._container.classList.add(\"maplibregl-crosshair\"),this._fireEvent(\"boxzoomstart\",w));let le=Math.min(ee.x,Q.x),qe=Math.max(ee.x,Q.x),Xe=Math.min(ee.y,Q.y),ot=Math.max(ee.y,Q.y);c.setTransform(this._box,`translate(${le}px,${Xe}px)`),this._box.style.width=qe-le+\"px\",this._box.style.height=ot-Xe+\"px\"}mouseupWindow(w,B){if(!this._active||w.button!==0)return;let Q=this._startPos,ee=B;if(this.reset(),c.suppressClick(),Q.x!==ee.x||Q.y!==ee.y)return this._map.fire(new a.k(\"boxzoomend\",{originalEvent:w})),{cameraAnimation:le=>le.fitScreenCoordinates(Q,ee,this._tr.bearing,{linear:!0})};this._fireEvent(\"boxzoomcancel\",w)}keydown(w){this._active&&w.keyCode===27&&(this.reset(),this._fireEvent(\"boxzoomcancel\",w))}reset(){this._active=!1,this._container.classList.remove(\"maplibregl-crosshair\"),this._box&&(c.remove(this._box),this._box=null),c.enableDrag(),delete this._startPos,delete this._lastPos}_fireEvent(w,B){return this._map.fire(new a.k(w,{originalEvent:B}))}}function Wf(ue,w){if(ue.length!==w.length)throw new Error(`The number of touches and points are not equal - touches ${ue.length}, points ${w.length}`);let B={};for(let Q=0;Q<ue.length;Q++)B[ue[Q].identifier]=w[Q];return B}class Us{constructor(w){this.reset(),this.numTouches=w.numTouches}reset(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1}touchstart(w,B,Q){(this.centroid||Q.length>this.numTouches)&&(this.aborted=!0),this.aborted||(this.startTime===void 0&&(this.startTime=w.timeStamp),Q.length===this.numTouches&&(this.centroid=function(ee){let le=new a.P(0,0);for(let qe of ee)le._add(qe);return le.div(ee.length)}(B),this.touches=Wf(Q,B)))}touchmove(w,B,Q){if(this.aborted||!this.centroid)return;let ee=Wf(Q,B);for(let le in this.touches){let qe=ee[le];(!qe||qe.dist(this.touches[le])>30)&&(this.aborted=!0)}}touchend(w,B,Q){if((!this.centroid||w.timeStamp-this.startTime>500)&&(this.aborted=!0),Q.length===0){let ee=!this.aborted&&this.centroid;if(this.reset(),ee)return ee}}}class wf{constructor(w){this.singleTap=new Us(w),this.numTaps=w.numTaps,this.reset()}reset(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()}touchstart(w,B,Q){this.singleTap.touchstart(w,B,Q)}touchmove(w,B,Q){this.singleTap.touchmove(w,B,Q)}touchend(w,B,Q){let ee=this.singleTap.touchend(w,B,Q);if(ee){let le=w.timeStamp-this.lastTime<500,qe=!this.lastTap||this.lastTap.dist(ee)<30;if(le&&qe||this.reset(),this.count++,this.lastTime=w.timeStamp,this.lastTap=ee,this.count===this.numTaps)return this.reset(),ee}}}class zc{constructor(w){this._tr=new du(w),this._zoomIn=new wf({numTouches:1,numTaps:2}),this._zoomOut=new wf({numTouches:2,numTaps:1}),this.reset()}reset(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()}touchstart(w,B,Q){this._zoomIn.touchstart(w,B,Q),this._zoomOut.touchstart(w,B,Q)}touchmove(w,B,Q){this._zoomIn.touchmove(w,B,Q),this._zoomOut.touchmove(w,B,Q)}touchend(w,B,Q){let ee=this._zoomIn.touchend(w,B,Q),le=this._zoomOut.touchend(w,B,Q),qe=this._tr;return ee?(this._active=!0,w.preventDefault(),setTimeout(()=>this.reset(),0),{cameraAnimation:Xe=>Xe.easeTo({duration:300,zoom:qe.zoom+1,around:qe.unproject(ee)},{originalEvent:w})}):le?(this._active=!0,w.preventDefault(),setTimeout(()=>this.reset(),0),{cameraAnimation:Xe=>Xe.easeTo({duration:300,zoom:qe.zoom-1,around:qe.unproject(le)},{originalEvent:w})}):void 0}touchcancel(){this.reset()}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class Wu{constructor(w){this._enabled=!!w.enable,this._moveStateManager=w.moveStateManager,this._clickTolerance=w.clickTolerance||1,this._moveFunction=w.move,this._activateOnStart=!!w.activateOnStart,w.assignEvents(this),this.reset()}reset(w){this._active=!1,this._moved=!1,delete this._lastPoint,this._moveStateManager.endMove(w)}_move(...w){let B=this._moveFunction(...w);if(B.bearingDelta||B.pitchDelta||B.around||B.panDelta)return this._active=!0,B}dragStart(w,B){this.isEnabled()&&!this._lastPoint&&this._moveStateManager.isValidStartEvent(w)&&(this._moveStateManager.startMove(w),this._lastPoint=B.length?B[0]:B,this._activateOnStart&&this._lastPoint&&(this._active=!0))}dragMove(w,B){if(!this.isEnabled())return;let Q=this._lastPoint;if(!Q)return;if(w.preventDefault(),!this._moveStateManager.isValidMoveEvent(w))return void this.reset(w);let ee=B.length?B[0]:B;return!this._moved&&ee.dist(Q)<this._clickTolerance?void 0:(this._moved=!0,this._lastPoint=ee,this._move(Q,ee))}dragEnd(w){this.isEnabled()&&this._lastPoint&&this._moveStateManager.isValidEndEvent(w)&&(this._moved&&c.suppressClick(),this.reset(w))}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}getClickTolerance(){return this._clickTolerance}}let Rf={0:1,2:2};class Xu{constructor(w){this._correctEvent=w.checkCorrectEvent}startMove(w){let B=c.mouseButton(w);this._eventButton=B}endMove(w){delete this._eventButton}isValidStartEvent(w){return this._correctEvent(w)}isValidMoveEvent(w){return!function(B,Q){let ee=Rf[Q];return B.buttons===void 0||(B.buttons&ee)!==ee}(w,this._eventButton)}isValidEndEvent(w){return c.mouseButton(w)===this._eventButton}}class uf{constructor(){this._firstTouch=void 0}_isOneFingerTouch(w){return w.targetTouches.length===1}_isSameTouchEvent(w){return w.targetTouches[0].identifier===this._firstTouch}startMove(w){this._firstTouch=w.targetTouches[0].identifier}endMove(w){delete this._firstTouch}isValidStartEvent(w){return this._isOneFingerTouch(w)}isValidMoveEvent(w){return this._isOneFingerTouch(w)&&this._isSameTouchEvent(w)}isValidEndEvent(w){return this._isOneFingerTouch(w)&&this._isSameTouchEvent(w)}}let Xf=ue=>{ue.mousedown=ue.dragStart,ue.mousemoveWindow=ue.dragMove,ue.mouseup=ue.dragEnd,ue.contextmenu=w=>{w.preventDefault()}},Wl=({enable:ue,clickTolerance:w,bearingDegreesPerPixelMoved:B=.8})=>{let Q=new Xu({checkCorrectEvent:ee=>c.mouseButton(ee)===0&&ee.ctrlKey||c.mouseButton(ee)===2});return new Wu({clickTolerance:w,move:(ee,le)=>({bearingDelta:(le.x-ee.x)*B}),moveStateManager:Q,enable:ue,assignEvents:Xf})},ah=({enable:ue,clickTolerance:w,pitchDegreesPerPixelMoved:B=-.5})=>{let Q=new Xu({checkCorrectEvent:ee=>c.mouseButton(ee)===0&&ee.ctrlKey||c.mouseButton(ee)===2});return new Wu({clickTolerance:w,move:(ee,le)=>({pitchDelta:(le.y-ee.y)*B}),moveStateManager:Q,enable:ue,assignEvents:Xf})};class Zu{constructor(w,B){this._clickTolerance=w.clickTolerance||1,this._map=B,this.reset()}reset(){this._active=!1,this._touches={},this._sum=new a.P(0,0)}_shouldBePrevented(w){return w<(this._map.cooperativeGestures.isEnabled()?2:1)}touchstart(w,B,Q){return this._calculateTransform(w,B,Q)}touchmove(w,B,Q){if(this._active){if(!this._shouldBePrevented(Q.length))return w.preventDefault(),this._calculateTransform(w,B,Q);this._map.cooperativeGestures.notifyGestureBlocked(\"touch_pan\",w)}}touchend(w,B,Q){this._calculateTransform(w,B,Q),this._active&&this._shouldBePrevented(Q.length)&&this.reset()}touchcancel(){this.reset()}_calculateTransform(w,B,Q){Q.length>0&&(this._active=!0);let ee=Wf(Q,B),le=new a.P(0,0),qe=new a.P(0,0),Xe=0;for(let Tt in ee){let Yt=ee[Tt],Kt=this._touches[Tt];Kt&&(le._add(Yt),qe._add(Yt.sub(Kt)),Xe++,ee[Tt]=Yt)}if(this._touches=ee,this._shouldBePrevented(Xe)||!qe.mag())return;let ot=qe.div(Xe);return this._sum._add(ot),this._sum.mag()<this._clickTolerance?void 0:{around:le.div(Xe),panDelta:ot}}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class Oc{constructor(){this.reset()}reset(){this._active=!1,delete this._firstTwoTouches}touchstart(w,B,Q){this._firstTwoTouches||Q.length<2||(this._firstTwoTouches=[Q[0].identifier,Q[1].identifier],this._start([B[0],B[1]]))}touchmove(w,B,Q){if(!this._firstTwoTouches)return;w.preventDefault();let[ee,le]=this._firstTwoTouches,qe=Tc(Q,B,ee),Xe=Tc(Q,B,le);if(!qe||!Xe)return;let ot=this._aroundCenter?null:qe.add(Xe).div(2);return this._move([qe,Xe],ot,w)}touchend(w,B,Q){if(!this._firstTwoTouches)return;let[ee,le]=this._firstTwoTouches,qe=Tc(Q,B,ee),Xe=Tc(Q,B,le);qe&&Xe||(this._active&&c.suppressClick(),this.reset())}touchcancel(){this.reset()}enable(w){this._enabled=!0,this._aroundCenter=!!w&&w.around===\"center\"}disable(){this._enabled=!1,this.reset()}isEnabled(){return!!this._enabled}isActive(){return!!this._active}}function Tc(ue,w,B){for(let Q=0;Q<ue.length;Q++)if(ue[Q].identifier===B)return w[Q]}function wl(ue,w){return Math.log(ue/w)/Math.LN2}class vu extends Oc{reset(){super.reset(),delete this._distance,delete this._startDistance}_start(w){this._startDistance=this._distance=w[0].dist(w[1])}_move(w,B){let Q=this._distance;if(this._distance=w[0].dist(w[1]),this._active||!(Math.abs(wl(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:wl(this._distance,Q),pinchAround:B}}}function qc(ue,w){return 180*ue.angleWith(w)/Math.PI}class cf extends Oc{reset(){super.reset(),delete this._minDiameter,delete this._startVector,delete this._vector}_start(w){this._startVector=this._vector=w[0].sub(w[1]),this._minDiameter=w[0].dist(w[1])}_move(w,B,Q){let ee=this._vector;if(this._vector=w[0].sub(w[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:qc(this._vector,ee),pinchAround:B}}_isBelowThreshold(w){this._minDiameter=Math.min(this._minDiameter,w.mag());let B=25/(Math.PI*this._minDiameter)*360,Q=qc(w,this._startVector);return Math.abs(Q)<B}}function fc(ue){return Math.abs(ue.y)>Math.abs(ue.x)}class Bc extends Oc{constructor(w){super(),this._currentTouchCount=0,this._map=w}reset(){super.reset(),this._valid=void 0,delete this._firstMove,delete this._lastPoints}touchstart(w,B,Q){super.touchstart(w,B,Q),this._currentTouchCount=Q.length}_start(w){this._lastPoints=w,fc(w[0].sub(w[1]))&&(this._valid=!1)}_move(w,B,Q){if(this._map.cooperativeGestures.isEnabled()&&this._currentTouchCount<3)return;let ee=w[0].sub(this._lastPoints[0]),le=w[1].sub(this._lastPoints[1]);return this._valid=this.gestureBeginsVertically(ee,le,Q.timeStamp),this._valid?(this._lastPoints=w,this._active=!0,{pitchDelta:(ee.y+le.y)/2*-.5}):void 0}gestureBeginsVertically(w,B,Q){if(this._valid!==void 0)return this._valid;let ee=w.mag()>=2,le=B.mag()>=2;if(!ee&&!le)return;if(!ee||!le)return this._firstMove===void 0&&(this._firstMove=Q),Q-this._firstMove<100&&void 0;let qe=w.y>0==B.y>0;return fc(w)&&fc(B)&&qe}}let At={panStep:100,bearingStep:15,pitchStep:10};class Wt{constructor(w){this._tr=new du(w);let B=At;this._panStep=B.panStep,this._bearingStep=B.bearingStep,this._pitchStep=B.pitchStep,this._rotationDisabled=!1}reset(){this._active=!1}keydown(w){if(w.altKey||w.ctrlKey||w.metaKey)return;let B=0,Q=0,ee=0,le=0,qe=0;switch(w.keyCode){case 61:case 107:case 171:case 187:B=1;break;case 189:case 109:case 173:B=-1;break;case 37:w.shiftKey?Q=-1:(w.preventDefault(),le=-1);break;case 39:w.shiftKey?Q=1:(w.preventDefault(),le=1);break;case 38:w.shiftKey?ee=1:(w.preventDefault(),qe=-1);break;case 40:w.shiftKey?ee=-1:(w.preventDefault(),qe=1);break;default:return}return this._rotationDisabled&&(Q=0,ee=0),{cameraAnimation:Xe=>{let ot=this._tr;Xe.easeTo({duration:300,easeId:\"keyboardHandler\",easing:Cr,zoom:B?Math.round(ot.zoom)+B*(w.shiftKey?2:1):ot.zoom,bearing:ot.bearing+Q*this._bearingStep,pitch:ot.pitch+ee*this._pitchStep,offset:[-le*this._panStep,-qe*this._panStep],center:ot.center},{originalEvent:w})}}}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}disableRotation(){this._rotationDisabled=!0}enableRotation(){this._rotationDisabled=!1}}function Cr(ue){return ue*(2-ue)}let Ar=4.000244140625;class Kr{constructor(w,B){this._onTimeout=Q=>{this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(Q)},this._map=w,this._tr=new du(w),this._triggerRenderFrame=B,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222}setZoomRate(w){this._defaultZoomRate=w}setWheelZoomRate(w){this._wheelZoomRate=w}isEnabled(){return!!this._enabled}isActive(){return!!this._active||this._finishTimeout!==void 0}isZooming(){return!!this._zooming}enable(w){this.isEnabled()||(this._enabled=!0,this._aroundCenter=!!w&&w.around===\"center\")}disable(){this.isEnabled()&&(this._enabled=!1)}_shouldBePrevented(w){return!!this._map.cooperativeGestures.isEnabled()&&!(w.ctrlKey||this._map.cooperativeGestures.isBypassed(w))}wheel(w){if(!this.isEnabled())return;if(this._shouldBePrevented(w))return void this._map.cooperativeGestures.notifyGestureBlocked(\"wheel_zoom\",w);let B=w.deltaMode===WheelEvent.DOM_DELTA_LINE?40*w.deltaY:w.deltaY,Q=u.now(),ee=Q-(this._lastWheelEventTime||0);this._lastWheelEventTime=Q,B!==0&&B%Ar==0?this._type=\"wheel\":B!==0&&Math.abs(B)<4?this._type=\"trackpad\":ee>400?(this._type=null,this._lastValue=B,this._timeout=setTimeout(this._onTimeout,40,w)):this._type||(this._type=Math.abs(ee*B)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,B+=this._lastValue)),w.shiftKey&&B&&(B/=4),this._type&&(this._lastWheelEvent=w,this._delta-=B,this._active||this._start(w)),w.preventDefault()}_start(w){if(!this._delta)return;this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);let B=c.mousePos(this._map.getCanvas(),w),Q=this._tr;this._around=B.y>Q.transform.height/2-Q.transform.getHorizon()?a.N.convert(this._aroundCenter?Q.center:Q.unproject(B)):a.N.convert(Q.center),this._aroundPoint=Q.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._triggerRenderFrame())}renderFrame(){if(!this._frameId||(this._frameId=null,!this.isActive()))return;let w=this._tr.transform;if(this._delta!==0){let ot=this._type===\"wheel\"&&Math.abs(this._delta)>Ar?this._wheelZoomRate:this._defaultZoomRate,Tt=2/(1+Math.exp(-Math.abs(this._delta*ot)));this._delta<0&&Tt!==0&&(Tt=1/Tt);let Yt=typeof this._targetZoom==\"number\"?w.zoomScale(this._targetZoom):w.scale;this._targetZoom=Math.min(w.maxZoom,Math.max(w.minZoom,w.scaleZoom(Yt*Tt))),this._type===\"wheel\"&&(this._startZoom=w.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}let B=typeof this._targetZoom==\"number\"?this._targetZoom:w.zoom,Q=this._startZoom,ee=this._easing,le,qe=!1,Xe=u.now()-this._lastWheelEventTime;if(this._type===\"wheel\"&&Q&&ee&&Xe){let ot=Math.min(Xe/200,1),Tt=ee(ot);le=a.y.number(Q,B,Tt),ot<1?this._frameId||(this._frameId=!0):qe=!0}else le=B,qe=!0;return this._active=!0,qe&&(this._active=!1,this._finishTimeout=setTimeout(()=>{this._zooming=!1,this._triggerRenderFrame(),delete this._targetZoom,delete this._finishTimeout},200)),{noInertia:!0,needsRenderFrame:!qe,zoomDelta:le-w.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}_smoothOutEasing(w){let B=a.b9;if(this._prevEase){let Q=this._prevEase,ee=(u.now()-Q.start)/Q.duration,le=Q.easing(ee+.01)-Q.easing(ee),qe=.27/Math.sqrt(le*le+1e-4)*.01,Xe=Math.sqrt(.0729-qe*qe);B=a.b8(qe,Xe,.25,1)}return this._prevEase={start:u.now(),duration:w,easing:B},B}reset(){this._active=!1,this._zooming=!1,delete this._targetZoom,this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout)}}class ki{constructor(w,B){this._clickZoom=w,this._tapZoom=B}enable(){this._clickZoom.enable(),this._tapZoom.enable()}disable(){this._clickZoom.disable(),this._tapZoom.disable()}isEnabled(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()}isActive(){return this._clickZoom.isActive()||this._tapZoom.isActive()}}class Xi{constructor(w){this._tr=new du(w),this.reset()}reset(){this._active=!1}dblclick(w,B){return w.preventDefault(),{cameraAnimation:Q=>{Q.easeTo({duration:300,zoom:this._tr.zoom+(w.shiftKey?-1:1),around:this._tr.unproject(B)},{originalEvent:w})}}}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class dn{constructor(){this._tap=new wf({numTouches:1,numTaps:1}),this.reset()}reset(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,delete this._tapPoint,this._tap.reset()}touchstart(w,B,Q){if(!this._swipePoint)if(this._tapTime){let ee=B[0],le=w.timeStamp-this._tapTime<500,qe=this._tapPoint.dist(ee)<30;le&&qe?Q.length>0&&(this._swipePoint=ee,this._swipeTouch=Q[0].identifier):this.reset()}else this._tap.touchstart(w,B,Q)}touchmove(w,B,Q){if(this._tapTime){if(this._swipePoint){if(Q[0].identifier!==this._swipeTouch)return;let ee=B[0],le=ee.y-this._swipePoint.y;return this._swipePoint=ee,w.preventDefault(),this._active=!0,{zoomDelta:le/128}}}else this._tap.touchmove(w,B,Q)}touchend(w,B,Q){if(this._tapTime)this._swipePoint&&Q.length===0&&this.reset();else{let ee=this._tap.touchend(w,B,Q);ee&&(this._tapTime=w.timeStamp,this._tapPoint=ee)}}touchcancel(){this.reset()}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class wn{constructor(w,B,Q){this._el=w,this._mousePan=B,this._touchPan=Q}enable(w){this._inertiaOptions=w||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"maplibregl-touch-drag-pan\")}disable(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"maplibregl-touch-drag-pan\")}isEnabled(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()}isActive(){return this._mousePan.isActive()||this._touchPan.isActive()}}class Nn{constructor(w,B,Q){this._pitchWithRotate=w.pitchWithRotate,this._mouseRotate=B,this._mousePitch=Q}enable(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()}disable(){this._mouseRotate.disable(),this._mousePitch.disable()}isEnabled(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())}isActive(){return this._mouseRotate.isActive()||this._mousePitch.isActive()}}class Yi{constructor(w,B,Q,ee){this._el=w,this._touchZoom=B,this._touchRotate=Q,this._tapDragZoom=ee,this._rotationDisabled=!1,this._enabled=!0}enable(w){this._touchZoom.enable(w),this._rotationDisabled||this._touchRotate.enable(w),this._tapDragZoom.enable(),this._el.classList.add(\"maplibregl-touch-zoom-rotate\")}disable(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"maplibregl-touch-zoom-rotate\")}isEnabled(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()}isActive(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()}disableRotation(){this._rotationDisabled=!0,this._touchRotate.disable()}enableRotation(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()}}class Qi{constructor(w,B){this._bypassKey=navigator.userAgent.indexOf(\"Mac\")!==-1?\"metaKey\":\"ctrlKey\",this._map=w,this._options=B,this._enabled=!1}isActive(){return!1}reset(){}_setupUI(){if(this._container)return;let w=this._map.getCanvasContainer();w.classList.add(\"maplibregl-cooperative-gestures\"),this._container=c.create(\"div\",\"maplibregl-cooperative-gesture-screen\",w);let B=this._map._getUIString(\"CooperativeGesturesHandler.WindowsHelpText\");this._bypassKey===\"metaKey\"&&(B=this._map._getUIString(\"CooperativeGesturesHandler.MacHelpText\"));let Q=this._map._getUIString(\"CooperativeGesturesHandler.MobileHelpText\"),ee=document.createElement(\"div\");ee.className=\"maplibregl-desktop-message\",ee.textContent=B,this._container.appendChild(ee);let le=document.createElement(\"div\");le.className=\"maplibregl-mobile-message\",le.textContent=Q,this._container.appendChild(le),this._container.setAttribute(\"aria-hidden\",\"true\")}_destroyUI(){this._container&&(c.remove(this._container),this._map.getCanvasContainer().classList.remove(\"maplibregl-cooperative-gestures\")),delete this._container}enable(){this._setupUI(),this._enabled=!0}disable(){this._enabled=!1,this._destroyUI()}isEnabled(){return this._enabled}isBypassed(w){return w[this._bypassKey]}notifyGestureBlocked(w,B){this._enabled&&(this._map.fire(new a.k(\"cooperativegestureprevented\",{gestureType:w,originalEvent:B})),this._container.classList.add(\"maplibregl-show\"),setTimeout(()=>{this._container.classList.remove(\"maplibregl-show\")},100))}}let on=ue=>ue.zoom||ue.drag||ue.pitch||ue.rotate;class Fi extends a.k{}function $n(ue){return ue.panDelta&&ue.panDelta.mag()||ue.zoomDelta||ue.bearingDelta||ue.pitchDelta}class Ca{constructor(w,B){this.handleWindowEvent=ee=>{this.handleEvent(ee,`${ee.type}Window`)},this.handleEvent=(ee,le)=>{if(ee.type===\"blur\")return void this.stop(!0);this._updatingCamera=!0;let qe=ee.type===\"renderFrame\"?void 0:ee,Xe={needsRenderFrame:!1},ot={},Tt={},Yt=ee.touches,Kt=Yt?this._getMapTouches(Yt):void 0,xr=Kt?c.touchPos(this._map.getCanvas(),Kt):c.mousePos(this._map.getCanvas(),ee);for(let{handlerName:be,handler:De,allowed:Be}of this._handlers){if(!De.isEnabled())continue;let et;this._blockedByActive(Tt,Be,be)?De.reset():De[le||ee.type]&&(et=De[le||ee.type](ee,xr,Kt),this.mergeHandlerResult(Xe,ot,et,be,qe),et&&et.needsRenderFrame&&this._triggerRenderFrame()),(et||De.isActive())&&(Tt[be]=De)}let Ir={};for(let be in this._previousActiveHandlers)Tt[be]||(Ir[be]=qe);this._previousActiveHandlers=Tt,(Object.keys(Ir).length||$n(Xe))&&(this._changes.push([Xe,ot,Ir]),this._triggerRenderFrame()),(Object.keys(Tt).length||$n(Xe))&&this._map._stop(!0),this._updatingCamera=!1;let{cameraAnimation:ve}=Xe;ve&&(this._inertia.clear(),this._fireEvents({},{},!0),this._changes=[],ve(this._map))},this._map=w,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Pf(w),this._bearingSnap=B.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(B);let Q=this._el;this._listeners=[[Q,\"touchstart\",{passive:!0}],[Q,\"touchmove\",{passive:!1}],[Q,\"touchend\",void 0],[Q,\"touchcancel\",void 0],[Q,\"mousedown\",void 0],[Q,\"mousemove\",void 0],[Q,\"mouseup\",void 0],[document,\"mousemove\",{capture:!0}],[document,\"mouseup\",void 0],[Q,\"mouseover\",void 0],[Q,\"mouseout\",void 0],[Q,\"dblclick\",void 0],[Q,\"click\",void 0],[Q,\"keydown\",{capture:!1}],[Q,\"keyup\",void 0],[Q,\"wheel\",{passive:!1}],[Q,\"contextmenu\",void 0],[window,\"blur\",void 0]];for(let[ee,le,qe]of this._listeners)c.addEventListener(ee,le,ee===document?this.handleWindowEvent:this.handleEvent,qe)}destroy(){for(let[w,B,Q]of this._listeners)c.removeEventListener(w,B,w===document?this.handleWindowEvent:this.handleEvent,Q)}_addDefaultHandlers(w){let B=this._map,Q=B.getCanvasContainer();this._add(\"mapEvent\",new If(B,w));let ee=B.boxZoom=new ku(B,w);this._add(\"boxZoom\",ee),w.interactive&&w.boxZoom&&ee.enable();let le=B.cooperativeGestures=new Qi(B,w.cooperativeGestures);this._add(\"cooperativeGestures\",le),w.cooperativeGestures&&le.enable();let qe=new zc(B),Xe=new Xi(B);B.doubleClickZoom=new ki(Xe,qe),this._add(\"tapZoom\",qe),this._add(\"clickZoom\",Xe),w.interactive&&w.doubleClickZoom&&B.doubleClickZoom.enable();let ot=new dn;this._add(\"tapDragZoom\",ot);let Tt=B.touchPitch=new Bc(B);this._add(\"touchPitch\",Tt),w.interactive&&w.touchPitch&&B.touchPitch.enable(w.touchPitch);let Yt=Wl(w),Kt=ah(w);B.dragRotate=new Nn(w,Yt,Kt),this._add(\"mouseRotate\",Yt,[\"mousePitch\"]),this._add(\"mousePitch\",Kt,[\"mouseRotate\"]),w.interactive&&w.dragRotate&&B.dragRotate.enable();let xr=(({enable:et,clickTolerance:We})=>{let it=new Xu({checkCorrectEvent:Ft=>c.mouseButton(Ft)===0&&!Ft.ctrlKey});return new Wu({clickTolerance:We,move:(Ft,Ht)=>({around:Ht,panDelta:Ht.sub(Ft)}),activateOnStart:!0,moveStateManager:it,enable:et,assignEvents:Xf})})(w),Ir=new Zu(w,B);B.dragPan=new wn(Q,xr,Ir),this._add(\"mousePan\",xr),this._add(\"touchPan\",Ir,[\"touchZoom\",\"touchRotate\"]),w.interactive&&w.dragPan&&B.dragPan.enable(w.dragPan);let ve=new cf,be=new vu;B.touchZoomRotate=new Yi(Q,be,ve,ot),this._add(\"touchRotate\",ve,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",be,[\"touchPan\",\"touchRotate\"]),w.interactive&&w.touchZoomRotate&&B.touchZoomRotate.enable(w.touchZoomRotate);let De=B.scrollZoom=new Kr(B,()=>this._triggerRenderFrame());this._add(\"scrollZoom\",De,[\"mousePan\"]),w.interactive&&w.scrollZoom&&B.scrollZoom.enable(w.scrollZoom);let Be=B.keyboard=new Wt(B);this._add(\"keyboard\",Be),w.interactive&&w.keyboard&&B.keyboard.enable(),this._add(\"blockableMapEvent\",new Cs(B))}_add(w,B,Q){this._handlers.push({handlerName:w,handler:B,allowed:Q}),this._handlersById[w]=B}stop(w){if(!this._updatingCamera){for(let{handler:B}of this._handlers)B.reset();this._inertia.clear(),this._fireEvents({},{},w),this._changes=[]}}isActive(){for(let{handler:w}of this._handlers)if(w.isActive())return!0;return!1}isZooming(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()}isRotating(){return!!this._eventsInProgress.rotate}isMoving(){return!!on(this._eventsInProgress)||this.isZooming()}_blockedByActive(w,B,Q){for(let ee in w)if(ee!==Q&&(!B||B.indexOf(ee)<0))return!0;return!1}_getMapTouches(w){let B=[];for(let Q of w)this._el.contains(Q.target)&&B.push(Q);return B}mergeHandlerResult(w,B,Q,ee,le){if(!Q)return;a.e(w,Q);let qe={handlerName:ee,originalEvent:Q.originalEvent||le};Q.zoomDelta!==void 0&&(B.zoom=qe),Q.panDelta!==void 0&&(B.drag=qe),Q.pitchDelta!==void 0&&(B.pitch=qe),Q.bearingDelta!==void 0&&(B.rotate=qe)}_applyChanges(){let w={},B={},Q={};for(let[ee,le,qe]of this._changes)ee.panDelta&&(w.panDelta=(w.panDelta||new a.P(0,0))._add(ee.panDelta)),ee.zoomDelta&&(w.zoomDelta=(w.zoomDelta||0)+ee.zoomDelta),ee.bearingDelta&&(w.bearingDelta=(w.bearingDelta||0)+ee.bearingDelta),ee.pitchDelta&&(w.pitchDelta=(w.pitchDelta||0)+ee.pitchDelta),ee.around!==void 0&&(w.around=ee.around),ee.pinchAround!==void 0&&(w.pinchAround=ee.pinchAround),ee.noInertia&&(w.noInertia=ee.noInertia),a.e(B,le),a.e(Q,qe);this._updateMapTransform(w,B,Q),this._changes=[]}_updateMapTransform(w,B,Q){let ee=this._map,le=ee._getTransformForUpdate(),qe=ee.terrain;if(!($n(w)||qe&&this._terrainMovement))return this._fireEvents(B,Q,!0);let{panDelta:Xe,zoomDelta:ot,bearingDelta:Tt,pitchDelta:Yt,around:Kt,pinchAround:xr}=w;xr!==void 0&&(Kt=xr),ee._stop(!0),Kt=Kt||ee.transform.centerPoint;let Ir=le.pointLocation(Xe?Kt.sub(Xe):Kt);Tt&&(le.bearing+=Tt),Yt&&(le.pitch+=Yt),ot&&(le.zoom+=ot),qe?this._terrainMovement||!B.drag&&!B.zoom?B.drag&&this._terrainMovement?le.center=le.pointLocation(le.centerPoint.sub(Xe)):le.setLocationAtPoint(Ir,Kt):(this._terrainMovement=!0,this._map._elevationFreeze=!0,le.setLocationAtPoint(Ir,Kt)):le.setLocationAtPoint(Ir,Kt),ee._applyUpdatedTransform(le),this._map._update(),w.noInertia||this._inertia.record(w),this._fireEvents(B,Q,!0)}_fireEvents(w,B,Q){let ee=on(this._eventsInProgress),le=on(w),qe={};for(let Kt in w){let{originalEvent:xr}=w[Kt];this._eventsInProgress[Kt]||(qe[`${Kt}start`]=xr),this._eventsInProgress[Kt]=w[Kt]}!ee&&le&&this._fireEvent(\"movestart\",le.originalEvent);for(let Kt in qe)this._fireEvent(Kt,qe[Kt]);le&&this._fireEvent(\"move\",le.originalEvent);for(let Kt in w){let{originalEvent:xr}=w[Kt];this._fireEvent(Kt,xr)}let Xe={},ot;for(let Kt in this._eventsInProgress){let{handlerName:xr,originalEvent:Ir}=this._eventsInProgress[Kt];this._handlersById[xr].isActive()||(delete this._eventsInProgress[Kt],ot=B[xr]||Ir,Xe[`${Kt}end`]=ot)}for(let Kt in Xe)this._fireEvent(Kt,Xe[Kt]);let Tt=on(this._eventsInProgress),Yt=(ee||le)&&!Tt;if(Yt&&this._terrainMovement){this._map._elevationFreeze=!1,this._terrainMovement=!1;let Kt=this._map._getTransformForUpdate();Kt.recalculateZoom(this._map.terrain),this._map._applyUpdatedTransform(Kt)}if(Q&&Yt){this._updatingCamera=!0;let Kt=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),xr=Ir=>Ir!==0&&-this._bearingSnap<Ir&&Ir<this._bearingSnap;!Kt||!Kt.essential&&u.prefersReducedMotion?(this._map.fire(new a.k(\"moveend\",{originalEvent:ot})),xr(this._map.getBearing())&&this._map.resetNorth()):(xr(Kt.bearing||this._map.getBearing())&&(Kt.bearing=0),Kt.freezeElevation=!0,this._map.easeTo(Kt,{originalEvent:ot})),this._updatingCamera=!1}}_fireEvent(w,B){this._map.fire(new a.k(w,B?{originalEvent:B}:{}))}_requestFrame(){return this._map.triggerRepaint(),this._map._renderTaskQueue.add(w=>{delete this._frameId,this.handleEvent(new Fi(\"renderFrame\",{timeStamp:w})),this._applyChanges()})}_triggerRenderFrame(){this._frameId===void 0&&(this._frameId=this._requestFrame())}}class Ra extends a.E{constructor(w,B){super(),this._renderFrameCallback=()=>{let Q=Math.min((u.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(Q)),Q<1&&this._easeFrameId?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},this._moving=!1,this._zooming=!1,this.transform=w,this._bearingSnap=B.bearingSnap,this.on(\"moveend\",()=>{delete this._requestedCameraState})}getCenter(){return new a.N(this.transform.center.lng,this.transform.center.lat)}setCenter(w,B){return this.jumpTo({center:w},B)}panBy(w,B,Q){return w=a.P.convert(w).mult(-1),this.panTo(this.transform.center,a.e({offset:w},B),Q)}panTo(w,B,Q){return this.easeTo(a.e({center:w},B),Q)}getZoom(){return this.transform.zoom}setZoom(w,B){return this.jumpTo({zoom:w},B),this}zoomTo(w,B,Q){return this.easeTo(a.e({zoom:w},B),Q)}zoomIn(w,B){return this.zoomTo(this.getZoom()+1,w,B),this}zoomOut(w,B){return this.zoomTo(this.getZoom()-1,w,B),this}getBearing(){return this.transform.bearing}setBearing(w,B){return this.jumpTo({bearing:w},B),this}getPadding(){return this.transform.padding}setPadding(w,B){return this.jumpTo({padding:w},B),this}rotateTo(w,B,Q){return this.easeTo(a.e({bearing:w},B),Q)}resetNorth(w,B){return this.rotateTo(0,a.e({duration:1e3},w),B),this}resetNorthPitch(w,B){return this.easeTo(a.e({bearing:0,pitch:0,duration:1e3},w),B),this}snapToNorth(w,B){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(w,B):this}getPitch(){return this.transform.pitch}setPitch(w,B){return this.jumpTo({pitch:w},B),this}cameraForBounds(w,B){w=ce.convert(w).adjustAntiMeridian();let Q=B&&B.bearing||0;return this._cameraForBoxAndBearing(w.getNorthWest(),w.getSouthEast(),Q,B)}_cameraForBoxAndBearing(w,B,Q,ee){let le={top:0,bottom:0,right:0,left:0};if(typeof(ee=a.e({padding:le,offset:[0,0],maxZoom:this.transform.maxZoom},ee)).padding==\"number\"){let Wr=ee.padding;ee.padding={top:Wr,bottom:Wr,right:Wr,left:Wr}}ee.padding=a.e(le,ee.padding);let qe=this.transform,Xe=qe.padding,ot=new ce(w,B),Tt=qe.project(ot.getNorthWest()),Yt=qe.project(ot.getNorthEast()),Kt=qe.project(ot.getSouthEast()),xr=qe.project(ot.getSouthWest()),Ir=a.ba(-Q),ve=Tt.rotate(Ir),be=Yt.rotate(Ir),De=Kt.rotate(Ir),Be=xr.rotate(Ir),et=new a.P(Math.max(ve.x,be.x,Be.x,De.x),Math.max(ve.y,be.y,Be.y,De.y)),We=new a.P(Math.min(ve.x,be.x,Be.x,De.x),Math.min(ve.y,be.y,Be.y,De.y)),it=et.sub(We),Ft=(qe.width-(Xe.left+Xe.right+ee.padding.left+ee.padding.right))/it.x,Ht=(qe.height-(Xe.top+Xe.bottom+ee.padding.top+ee.padding.bottom))/it.y;if(Ht<0||Ft<0)return void a.w(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\");let tr=Math.min(qe.scaleZoom(qe.scale*Math.min(Ft,Ht)),ee.maxZoom),dr=a.P.convert(ee.offset),Sr=new a.P((ee.padding.left-ee.padding.right)/2,(ee.padding.top-ee.padding.bottom)/2).rotate(a.ba(Q)),Or=dr.add(Sr).mult(qe.scale/qe.zoomScale(tr));return{center:qe.unproject(Tt.add(Kt).div(2).sub(Or)),zoom:tr,bearing:Q}}fitBounds(w,B,Q){return this._fitInternal(this.cameraForBounds(w,B),B,Q)}fitScreenCoordinates(w,B,Q,ee,le){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(a.P.convert(w)),this.transform.pointLocation(a.P.convert(B)),Q,ee),ee,le)}_fitInternal(w,B,Q){return w?(delete(B=a.e(w,B)).padding,B.linear?this.easeTo(B,Q):this.flyTo(B,Q)):this}jumpTo(w,B){this.stop();let Q=this._getTransformForUpdate(),ee=!1,le=!1,qe=!1;return\"zoom\"in w&&Q.zoom!==+w.zoom&&(ee=!0,Q.zoom=+w.zoom),w.center!==void 0&&(Q.center=a.N.convert(w.center)),\"bearing\"in w&&Q.bearing!==+w.bearing&&(le=!0,Q.bearing=+w.bearing),\"pitch\"in w&&Q.pitch!==+w.pitch&&(qe=!0,Q.pitch=+w.pitch),w.padding==null||Q.isPaddingEqual(w.padding)||(Q.padding=w.padding),this._applyUpdatedTransform(Q),this.fire(new a.k(\"movestart\",B)).fire(new a.k(\"move\",B)),ee&&this.fire(new a.k(\"zoomstart\",B)).fire(new a.k(\"zoom\",B)).fire(new a.k(\"zoomend\",B)),le&&this.fire(new a.k(\"rotatestart\",B)).fire(new a.k(\"rotate\",B)).fire(new a.k(\"rotateend\",B)),qe&&this.fire(new a.k(\"pitchstart\",B)).fire(new a.k(\"pitch\",B)).fire(new a.k(\"pitchend\",B)),this.fire(new a.k(\"moveend\",B))}calculateCameraOptionsFromTo(w,B,Q,ee=0){let le=a.Z.fromLngLat(w,B),qe=a.Z.fromLngLat(Q,ee),Xe=qe.x-le.x,ot=qe.y-le.y,Tt=qe.z-le.z,Yt=Math.hypot(Xe,ot,Tt);if(Yt===0)throw new Error(\"Can't calculate camera options with same From and To\");let Kt=Math.hypot(Xe,ot),xr=this.transform.scaleZoom(this.transform.cameraToCenterDistance/Yt/this.transform.tileSize),Ir=180*Math.atan2(Xe,-ot)/Math.PI,ve=180*Math.acos(Kt/Yt)/Math.PI;return ve=Tt<0?90-ve:90+ve,{center:qe.toLngLat(),zoom:xr,pitch:ve,bearing:Ir}}easeTo(w,B){var Q;this._stop(!1,w.easeId),((w=a.e({offset:[0,0],duration:500,easing:a.b9},w)).animate===!1||!w.essential&&u.prefersReducedMotion)&&(w.duration=0);let ee=this._getTransformForUpdate(),le=ee.zoom,qe=ee.bearing,Xe=ee.pitch,ot=ee.padding,Tt=\"bearing\"in w?this._normalizeBearing(w.bearing,qe):qe,Yt=\"pitch\"in w?+w.pitch:Xe,Kt=\"padding\"in w?w.padding:ee.padding,xr=a.P.convert(w.offset),Ir=ee.centerPoint.add(xr),ve=ee.pointLocation(Ir),{center:be,zoom:De}=ee.getConstrained(a.N.convert(w.center||ve),(Q=w.zoom)!==null&&Q!==void 0?Q:le);this._normalizeCenter(be,ee);let Be=ee.project(ve),et=ee.project(be).sub(Be),We=ee.zoomScale(De-le),it,Ft;w.around&&(it=a.N.convert(w.around),Ft=ee.locationPoint(it));let Ht={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||De!==le,this._rotating=this._rotating||qe!==Tt,this._pitching=this._pitching||Yt!==Xe,this._padding=!ee.isPaddingEqual(Kt),this._easeId=w.easeId,this._prepareEase(B,w.noMoveStart,Ht),this.terrain&&this._prepareElevation(be),this._ease(tr=>{if(this._zooming&&(ee.zoom=a.y.number(le,De,tr)),this._rotating&&(ee.bearing=a.y.number(qe,Tt,tr)),this._pitching&&(ee.pitch=a.y.number(Xe,Yt,tr)),this._padding&&(ee.interpolatePadding(ot,Kt,tr),Ir=ee.centerPoint.add(xr)),this.terrain&&!w.freezeElevation&&this._updateElevation(tr),it)ee.setLocationAtPoint(it,Ft);else{let dr=ee.zoomScale(ee.zoom-le),Sr=De>le?Math.min(2,We):Math.max(.5,We),Or=Math.pow(Sr,1-tr),Wr=ee.unproject(Be.add(et.mult(tr*Or)).mult(dr));ee.setLocationAtPoint(ee.renderWorldCopies?Wr.wrap():Wr,Ir)}this._applyUpdatedTransform(ee),this._fireMoveEvents(B)},tr=>{this.terrain&&w.freezeElevation&&this._finalizeElevation(),this._afterEase(B,tr)},w),this}_prepareEase(w,B,Q={}){this._moving=!0,B||Q.moving||this.fire(new a.k(\"movestart\",w)),this._zooming&&!Q.zooming&&this.fire(new a.k(\"zoomstart\",w)),this._rotating&&!Q.rotating&&this.fire(new a.k(\"rotatestart\",w)),this._pitching&&!Q.pitching&&this.fire(new a.k(\"pitchstart\",w))}_prepareElevation(w){this._elevationCenter=w,this._elevationStart=this.transform.elevation,this._elevationTarget=this.terrain.getElevationForLngLatZoom(w,this.transform.tileZoom),this._elevationFreeze=!0}_updateElevation(w){this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this._elevationCenter,this.transform.tileZoom);let B=this.terrain.getElevationForLngLatZoom(this._elevationCenter,this.transform.tileZoom);if(w<1&&B!==this._elevationTarget){let Q=this._elevationTarget-this._elevationStart;this._elevationStart+=w*(Q-(B-(Q*w+this._elevationStart))/(1-w)),this._elevationTarget=B}this.transform.elevation=a.y.number(this._elevationStart,this._elevationTarget,w)}_finalizeElevation(){this._elevationFreeze=!1,this.transform.recalculateZoom(this.terrain)}_getTransformForUpdate(){return this.transformCameraUpdate||this.terrain?(this._requestedCameraState||(this._requestedCameraState=this.transform.clone()),this._requestedCameraState):this.transform}_elevateCameraIfInsideTerrain(w){let B=w.getCameraPosition(),Q=this.terrain.getElevationForLngLatZoom(B.lngLat,w.zoom);if(B.altitude<Q){let ee=this.calculateCameraOptionsFromTo(B.lngLat,Q,w.center,w.elevation);return{pitch:ee.pitch,zoom:ee.zoom}}return{}}_applyUpdatedTransform(w){let B=[];if(this.terrain&&B.push(ee=>this._elevateCameraIfInsideTerrain(ee)),this.transformCameraUpdate&&B.push(ee=>this.transformCameraUpdate(ee)),!B.length)return;let Q=w.clone();for(let ee of B){let le=Q.clone(),{center:qe,zoom:Xe,pitch:ot,bearing:Tt,elevation:Yt}=ee(le);qe&&(le.center=qe),Xe!==void 0&&(le.zoom=Xe),ot!==void 0&&(le.pitch=ot),Tt!==void 0&&(le.bearing=Tt),Yt!==void 0&&(le.elevation=Yt),Q.apply(le)}this.transform.apply(Q)}_fireMoveEvents(w){this.fire(new a.k(\"move\",w)),this._zooming&&this.fire(new a.k(\"zoom\",w)),this._rotating&&this.fire(new a.k(\"rotate\",w)),this._pitching&&this.fire(new a.k(\"pitch\",w))}_afterEase(w,B){if(this._easeId&&B&&this._easeId===B)return;delete this._easeId;let Q=this._zooming,ee=this._rotating,le=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,Q&&this.fire(new a.k(\"zoomend\",w)),ee&&this.fire(new a.k(\"rotateend\",w)),le&&this.fire(new a.k(\"pitchend\",w)),this.fire(new a.k(\"moveend\",w))}flyTo(w,B){var Q;if(!w.essential&&u.prefersReducedMotion){let Cn=a.M(w,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(Cn,B)}this.stop(),w=a.e({offset:[0,0],speed:1.2,curve:1.42,easing:a.b9},w);let ee=this._getTransformForUpdate(),le=ee.zoom,qe=ee.bearing,Xe=ee.pitch,ot=ee.padding,Tt=\"bearing\"in w?this._normalizeBearing(w.bearing,qe):qe,Yt=\"pitch\"in w?+w.pitch:Xe,Kt=\"padding\"in w?w.padding:ee.padding,xr=a.P.convert(w.offset),Ir=ee.centerPoint.add(xr),ve=ee.pointLocation(Ir),{center:be,zoom:De}=ee.getConstrained(a.N.convert(w.center||ve),(Q=w.zoom)!==null&&Q!==void 0?Q:le);this._normalizeCenter(be,ee);let Be=ee.zoomScale(De-le),et=ee.project(ve),We=ee.project(be).sub(et),it=w.curve,Ft=Math.max(ee.width,ee.height),Ht=Ft/Be,tr=We.mag();if(\"minZoom\"in w){let Cn=a.ac(Math.min(w.minZoom,le,De),ee.minZoom,ee.maxZoom),Kn=Ft/ee.zoomScale(Cn-le);it=Math.sqrt(Kn/tr*2)}let dr=it*it;function Sr(Cn){let Kn=(Ht*Ht-Ft*Ft+(Cn?-1:1)*dr*dr*tr*tr)/(2*(Cn?Ht:Ft)*dr*tr);return Math.log(Math.sqrt(Kn*Kn+1)-Kn)}function Or(Cn){return(Math.exp(Cn)-Math.exp(-Cn))/2}function Wr(Cn){return(Math.exp(Cn)+Math.exp(-Cn))/2}let ni=Sr(!1),Pi=function(Cn){return Wr(ni)/Wr(ni+it*Cn)},cn=function(Cn){return Ft*((Wr(ni)*(Or(Kn=ni+it*Cn)/Wr(Kn))-Or(ni))/dr)/tr;var Kn},ln=(Sr(!0)-ni)/it;if(Math.abs(tr)<1e-6||!isFinite(ln)){if(Math.abs(Ft-Ht)<1e-6)return this.easeTo(w,B);let Cn=Ht<Ft?-1:1;ln=Math.abs(Math.log(Ht/Ft))/it,cn=()=>0,Pi=Kn=>Math.exp(Cn*it*Kn)}return w.duration=\"duration\"in w?+w.duration:1e3*ln/(\"screenSpeed\"in w?+w.screenSpeed/it:+w.speed),w.maxDuration&&w.duration>w.maxDuration&&(w.duration=0),this._zooming=!0,this._rotating=qe!==Tt,this._pitching=Yt!==Xe,this._padding=!ee.isPaddingEqual(Kt),this._prepareEase(B,!1),this.terrain&&this._prepareElevation(be),this._ease(Cn=>{let Kn=Cn*ln,Ta=1/Pi(Kn);ee.zoom=Cn===1?De:le+ee.scaleZoom(Ta),this._rotating&&(ee.bearing=a.y.number(qe,Tt,Cn)),this._pitching&&(ee.pitch=a.y.number(Xe,Yt,Cn)),this._padding&&(ee.interpolatePadding(ot,Kt,Cn),Ir=ee.centerPoint.add(xr)),this.terrain&&!w.freezeElevation&&this._updateElevation(Cn);let fa=Cn===1?be:ee.unproject(et.add(We.mult(cn(Kn))).mult(Ta));ee.setLocationAtPoint(ee.renderWorldCopies?fa.wrap():fa,Ir),this._applyUpdatedTransform(ee),this._fireMoveEvents(B)},()=>{this.terrain&&w.freezeElevation&&this._finalizeElevation(),this._afterEase(B)},w),this}isEasing(){return!!this._easeFrameId}stop(){return this._stop()}_stop(w,B){var Q;if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){let ee=this._onEaseEnd;delete this._onEaseEnd,ee.call(this,B)}return w||(Q=this.handlers)===null||Q===void 0||Q.stop(!1),this}_ease(w,B,Q){Q.animate===!1||Q.duration===0?(w(1),B()):(this._easeStart=u.now(),this._easeOptions=Q,this._onEaseFrame=w,this._onEaseEnd=B,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))}_normalizeBearing(w,B){w=a.b3(w,-180,180);let Q=Math.abs(w-B);return Math.abs(w-360-B)<Q&&(w-=360),Math.abs(w+360-B)<Q&&(w+=360),w}_normalizeCenter(w,B){if(!B.renderWorldCopies||B.lngRange)return;let Q=w.lng-B.center.lng;w.lng+=Q>180?-360:Q<-180?360:0}queryTerrainElevation(w){return this.terrain?this.terrain.getElevationForLngLatZoom(a.N.convert(w),this.transform.tileZoom)-this.transform.elevation:null}}let La={compact:!0,customAttribution:'<a href=\"https://maplibre.org/\" target=\"_blank\">MapLibre</a>'};class Na{constructor(w=La){this._toggleAttribution=()=>{this._container.classList.contains(\"maplibregl-compact\")&&(this._container.classList.contains(\"maplibregl-compact-show\")?(this._container.setAttribute(\"open\",\"\"),this._container.classList.remove(\"maplibregl-compact-show\")):(this._container.classList.add(\"maplibregl-compact-show\"),this._container.removeAttribute(\"open\")))},this._updateData=B=>{!B||B.sourceDataType!==\"metadata\"&&B.sourceDataType!==\"visibility\"&&B.dataType!==\"style\"&&B.type!==\"terrain\"||this._updateAttributions()},this._updateCompact=()=>{this._map.getCanvasContainer().offsetWidth<=640||this._compact?this._compact===!1?this._container.setAttribute(\"open\",\"\"):this._container.classList.contains(\"maplibregl-compact\")||this._container.classList.contains(\"maplibregl-attrib-empty\")||(this._container.setAttribute(\"open\",\"\"),this._container.classList.add(\"maplibregl-compact\",\"maplibregl-compact-show\")):(this._container.setAttribute(\"open\",\"\"),this._container.classList.contains(\"maplibregl-compact\")&&this._container.classList.remove(\"maplibregl-compact\",\"maplibregl-compact-show\"))},this._updateCompactMinimize=()=>{this._container.classList.contains(\"maplibregl-compact\")&&this._container.classList.contains(\"maplibregl-compact-show\")&&this._container.classList.remove(\"maplibregl-compact-show\")},this.options=w}getDefaultPosition(){return\"bottom-right\"}onAdd(w){return this._map=w,this._compact=this.options.compact,this._container=c.create(\"details\",\"maplibregl-ctrl maplibregl-ctrl-attrib\"),this._compactButton=c.create(\"summary\",\"maplibregl-ctrl-attrib-button\",this._container),this._compactButton.addEventListener(\"click\",this._toggleAttribution),this._setElementTitle(this._compactButton,\"ToggleAttribution\"),this._innerContainer=c.create(\"div\",\"maplibregl-ctrl-attrib-inner\",this._container),this._updateAttributions(),this._updateCompact(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"terrain\",this._updateData),this._map.on(\"resize\",this._updateCompact),this._map.on(\"drag\",this._updateCompactMinimize),this._container}onRemove(){c.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"terrain\",this._updateData),this._map.off(\"resize\",this._updateCompact),this._map.off(\"drag\",this._updateCompactMinimize),this._map=void 0,this._compact=void 0,this._attribHTML=void 0}_setElementTitle(w,B){let Q=this._map._getUIString(`AttributionControl.${B}`);w.title=Q,w.setAttribute(\"aria-label\",Q)}_updateAttributions(){if(!this._map.style)return;let w=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?w=w.concat(this.options.customAttribution.map(ee=>typeof ee!=\"string\"?\"\":ee)):typeof this.options.customAttribution==\"string\"&&w.push(this.options.customAttribution)),this._map.style.stylesheet){let ee=this._map.style.stylesheet;this.styleOwner=ee.owner,this.styleId=ee.id}let B=this._map.style.sourceCaches;for(let ee in B){let le=B[ee];if(le.used||le.usedForTerrain){let qe=le.getSource();qe.attribution&&w.indexOf(qe.attribution)<0&&w.push(qe.attribution)}}w=w.filter(ee=>String(ee).trim()),w.sort((ee,le)=>ee.length-le.length),w=w.filter((ee,le)=>{for(let qe=le+1;qe<w.length;qe++)if(w[qe].indexOf(ee)>=0)return!1;return!0});let Q=w.join(\" | \");Q!==this._attribHTML&&(this._attribHTML=Q,w.length?(this._innerContainer.innerHTML=Q,this._container.classList.remove(\"maplibregl-attrib-empty\")):this._container.classList.add(\"maplibregl-attrib-empty\"),this._updateCompact(),this._editLink=null)}}class Yn{constructor(w={}){this._updateCompact=()=>{let B=this._container.children;if(B.length){let Q=B[0];this._map.getCanvasContainer().offsetWidth<=640||this._compact?this._compact!==!1&&Q.classList.add(\"maplibregl-compact\"):Q.classList.remove(\"maplibregl-compact\")}},this.options=w}getDefaultPosition(){return\"bottom-left\"}onAdd(w){this._map=w,this._compact=this.options&&this.options.compact,this._container=c.create(\"div\",\"maplibregl-ctrl\");let B=c.create(\"a\",\"maplibregl-ctrl-logo\");return B.target=\"_blank\",B.rel=\"noopener nofollow\",B.href=\"https://maplibre.org/\",B.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),B.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(B),this._container.style.display=\"block\",this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container}onRemove(){c.remove(this._container),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._compact=void 0}}class Dn{constructor(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1}add(w){let B=++this._id;return this._queue.push({callback:w,id:B,cancelled:!1}),B}remove(w){let B=this._currentlyRunning,Q=B?this._queue.concat(B):this._queue;for(let ee of Q)if(ee.id===w)return void(ee.cancelled=!0)}run(w=0){if(this._currentlyRunning)throw new Error(\"Attempting to run(), but is already running.\");let B=this._currentlyRunning=this._queue;this._queue=[];for(let Q of B)if(!Q.cancelled&&(Q.callback(w),this._cleared))break;this._cleared=!1,this._currentlyRunning=!1}clear(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]}}var Ka=a.Y([{name:\"a_pos3d\",type:\"Int16\",components:3}]);class bo extends a.E{constructor(w){super(),this.sourceCache=w,this._tiles={},this._renderableTilesKeys=[],this._sourceTileCache={},this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.deltaZoom=1,w.usedForTerrain=!0,w.tileSize=this.tileSize*2**this.deltaZoom}destruct(){this.sourceCache.usedForTerrain=!1,this.sourceCache.tileSize=null}update(w,B){this.sourceCache.update(w,B),this._renderableTilesKeys=[];let Q={};for(let ee of w.coveringTiles({tileSize:this.tileSize,minzoom:this.minzoom,maxzoom:this.maxzoom,reparseOverscaled:!1,terrain:B}))Q[ee.key]=!0,this._renderableTilesKeys.push(ee.key),this._tiles[ee.key]||(ee.posMatrix=new Float64Array(16),a.aP(ee.posMatrix,0,a.X,0,a.X,0,1),this._tiles[ee.key]=new Vt(ee,this.tileSize));for(let ee in this._tiles)Q[ee]||delete this._tiles[ee]}freeRtt(w){for(let B in this._tiles){let Q=this._tiles[B];(!w||Q.tileID.equals(w)||Q.tileID.isChildOf(w)||w.isChildOf(Q.tileID))&&(Q.rtt=[])}}getRenderableTiles(){return this._renderableTilesKeys.map(w=>this.getTileByID(w))}getTileByID(w){return this._tiles[w]}getTerrainCoords(w){let B={};for(let Q of this._renderableTilesKeys){let ee=this._tiles[Q].tileID;if(ee.canonical.equals(w.canonical)){let le=w.clone();le.posMatrix=new Float64Array(16),a.aP(le.posMatrix,0,a.X,0,a.X,0,1),B[Q]=le}else if(ee.canonical.isChildOf(w.canonical)){let le=w.clone();le.posMatrix=new Float64Array(16);let qe=ee.canonical.z-w.canonical.z,Xe=ee.canonical.x-(ee.canonical.x>>qe<<qe),ot=ee.canonical.y-(ee.canonical.y>>qe<<qe),Tt=a.X>>qe;a.aP(le.posMatrix,0,Tt,0,Tt,0,1),a.J(le.posMatrix,le.posMatrix,[-Xe*Tt,-ot*Tt,0]),B[Q]=le}else if(w.canonical.isChildOf(ee.canonical)){let le=w.clone();le.posMatrix=new Float64Array(16);let qe=w.canonical.z-ee.canonical.z,Xe=w.canonical.x-(w.canonical.x>>qe<<qe),ot=w.canonical.y-(w.canonical.y>>qe<<qe),Tt=a.X>>qe;a.aP(le.posMatrix,0,a.X,0,a.X,0,1),a.J(le.posMatrix,le.posMatrix,[Xe*Tt,ot*Tt,0]),a.K(le.posMatrix,le.posMatrix,[1/2**qe,1/2**qe,0]),B[Q]=le}}return B}getSourceTile(w,B){let Q=this.sourceCache._source,ee=w.overscaledZ-this.deltaZoom;if(ee>Q.maxzoom&&(ee=Q.maxzoom),ee<Q.minzoom)return null;this._sourceTileCache[w.key]||(this._sourceTileCache[w.key]=w.scaledTo(ee).key);let le=this.sourceCache.getTileByID(this._sourceTileCache[w.key]);if((!le||!le.dem)&&B)for(;ee>=Q.minzoom&&(!le||!le.dem);)le=this.sourceCache.getTileByID(w.scaledTo(ee--).key);return le}tilesAfterTime(w=Date.now()){return Object.values(this._tiles).filter(B=>B.timeAdded>=w)}}class Xo{constructor(w,B,Q){this.painter=w,this.sourceCache=new bo(B),this.options=Q,this.exaggeration=typeof Q.exaggeration==\"number\"?Q.exaggeration:1,this.qualityFactor=2,this.meshSize=128,this._demMatrixCache={},this.coordsIndex=[],this._coordsTextureSize=1024}getDEMElevation(w,B,Q,ee=a.X){var le;if(!(B>=0&&B<ee&&Q>=0&&Q<ee))return 0;let qe=this.getTerrainData(w),Xe=(le=qe.tile)===null||le===void 0?void 0:le.dem;if(!Xe)return 0;let ot=function(ve,be,De){var Be=be[0],et=be[1];return ve[0]=De[0]*Be+De[4]*et+De[12],ve[1]=De[1]*Be+De[5]*et+De[13],ve}([],[B/ee*a.X,Q/ee*a.X],qe.u_terrain_matrix),Tt=[ot[0]*Xe.dim,ot[1]*Xe.dim],Yt=Math.floor(Tt[0]),Kt=Math.floor(Tt[1]),xr=Tt[0]-Yt,Ir=Tt[1]-Kt;return Xe.get(Yt,Kt)*(1-xr)*(1-Ir)+Xe.get(Yt+1,Kt)*xr*(1-Ir)+Xe.get(Yt,Kt+1)*(1-xr)*Ir+Xe.get(Yt+1,Kt+1)*xr*Ir}getElevationForLngLatZoom(w,B){if(!a.bb(B,w.wrap()))return 0;let{tileID:Q,mercatorX:ee,mercatorY:le}=this._getOverscaledTileIDFromLngLatZoom(w,B);return this.getElevation(Q,ee%a.X,le%a.X,a.X)}getElevation(w,B,Q,ee=a.X){return this.getDEMElevation(w,B,Q,ee)*this.exaggeration}getTerrainData(w){if(!this._emptyDemTexture){let ee=this.painter.context,le=new a.R({width:1,height:1},new Uint8Array(4));this._emptyDepthTexture=new g(ee,le,ee.gl.RGBA,{premultiply:!1}),this._emptyDemUnpack=[0,0,0,0],this._emptyDemTexture=new g(ee,new a.R({width:1,height:1}),ee.gl.RGBA,{premultiply:!1}),this._emptyDemTexture.bind(ee.gl.NEAREST,ee.gl.CLAMP_TO_EDGE),this._emptyDemMatrix=a.an([])}let B=this.sourceCache.getSourceTile(w,!0);if(B&&B.dem&&(!B.demTexture||B.needsTerrainPrepare)){let ee=this.painter.context;B.demTexture=this.painter.getTileTexture(B.dem.stride),B.demTexture?B.demTexture.update(B.dem.getPixels(),{premultiply:!1}):B.demTexture=new g(ee,B.dem.getPixels(),ee.gl.RGBA,{premultiply:!1}),B.demTexture.bind(ee.gl.NEAREST,ee.gl.CLAMP_TO_EDGE),B.needsTerrainPrepare=!1}let Q=B&&B+B.tileID.key+w.key;if(Q&&!this._demMatrixCache[Q]){let ee=this.sourceCache.sourceCache._source.maxzoom,le=w.canonical.z-B.tileID.canonical.z;w.overscaledZ>w.canonical.z&&(w.canonical.z>=ee?le=w.canonical.z-ee:a.w(\"cannot calculate elevation if elevation maxzoom > source.maxzoom\"));let qe=w.canonical.x-(w.canonical.x>>le<<le),Xe=w.canonical.y-(w.canonical.y>>le<<le),ot=a.bc(new Float64Array(16),[1/(a.X<<le),1/(a.X<<le),0]);a.J(ot,ot,[qe*a.X,Xe*a.X,0]),this._demMatrixCache[w.key]={matrix:ot,coord:w}}return{u_depth:2,u_terrain:3,u_terrain_dim:B&&B.dem&&B.dem.dim||1,u_terrain_matrix:Q?this._demMatrixCache[w.key].matrix:this._emptyDemMatrix,u_terrain_unpack:B&&B.dem&&B.dem.getUnpackVector()||this._emptyDemUnpack,u_terrain_exaggeration:this.exaggeration,texture:(B&&B.demTexture||this._emptyDemTexture).texture,depthTexture:(this._fboDepthTexture||this._emptyDepthTexture).texture,tile:B}}getFramebuffer(w){let B=this.painter,Q=B.width/devicePixelRatio,ee=B.height/devicePixelRatio;return!this._fbo||this._fbo.width===Q&&this._fbo.height===ee||(this._fbo.destroy(),this._fboCoordsTexture.destroy(),this._fboDepthTexture.destroy(),delete this._fbo,delete this._fboDepthTexture,delete this._fboCoordsTexture),this._fboCoordsTexture||(this._fboCoordsTexture=new g(B.context,{width:Q,height:ee,data:null},B.context.gl.RGBA,{premultiply:!1}),this._fboCoordsTexture.bind(B.context.gl.NEAREST,B.context.gl.CLAMP_TO_EDGE)),this._fboDepthTexture||(this._fboDepthTexture=new g(B.context,{width:Q,height:ee,data:null},B.context.gl.RGBA,{premultiply:!1}),this._fboDepthTexture.bind(B.context.gl.NEAREST,B.context.gl.CLAMP_TO_EDGE)),this._fbo||(this._fbo=B.context.createFramebuffer(Q,ee,!0,!1),this._fbo.depthAttachment.set(B.context.createRenderbuffer(B.context.gl.DEPTH_COMPONENT16,Q,ee))),this._fbo.colorAttachment.set(w===\"coords\"?this._fboCoordsTexture.texture:this._fboDepthTexture.texture),this._fbo}getCoordsTexture(){let w=this.painter.context;if(this._coordsTexture)return this._coordsTexture;let B=new Uint8Array(this._coordsTextureSize*this._coordsTextureSize*4);for(let le=0,qe=0;le<this._coordsTextureSize;le++)for(let Xe=0;Xe<this._coordsTextureSize;Xe++,qe+=4)B[qe+0]=255&Xe,B[qe+1]=255&le,B[qe+2]=Xe>>8<<4|le>>8,B[qe+3]=0;let Q=new a.R({width:this._coordsTextureSize,height:this._coordsTextureSize},new Uint8Array(B.buffer)),ee=new g(w,Q,w.gl.RGBA,{premultiply:!1});return ee.bind(w.gl.NEAREST,w.gl.CLAMP_TO_EDGE),this._coordsTexture=ee,ee}pointCoordinate(w){this.painter.maybeDrawDepthAndCoords(!0);let B=new Uint8Array(4),Q=this.painter.context,ee=Q.gl,le=Math.round(w.x*this.painter.pixelRatio/devicePixelRatio),qe=Math.round(w.y*this.painter.pixelRatio/devicePixelRatio),Xe=Math.round(this.painter.height/devicePixelRatio);Q.bindFramebuffer.set(this.getFramebuffer(\"coords\").framebuffer),ee.readPixels(le,Xe-qe-1,1,1,ee.RGBA,ee.UNSIGNED_BYTE,B),Q.bindFramebuffer.set(null);let ot=B[0]+(B[2]>>4<<8),Tt=B[1]+((15&B[2])<<8),Yt=this.coordsIndex[255-B[3]],Kt=Yt&&this.sourceCache.getTileByID(Yt);if(!Kt)return null;let xr=this._coordsTextureSize,Ir=(1<<Kt.tileID.canonical.z)*xr;return new a.Z((Kt.tileID.canonical.x*xr+ot)/Ir+Kt.tileID.wrap,(Kt.tileID.canonical.y*xr+Tt)/Ir,this.getElevation(Kt.tileID,ot,Tt,xr))}depthAtPoint(w){let B=new Uint8Array(4),Q=this.painter.context,ee=Q.gl;return Q.bindFramebuffer.set(this.getFramebuffer(\"depth\").framebuffer),ee.readPixels(w.x,this.painter.height/devicePixelRatio-w.y-1,1,1,ee.RGBA,ee.UNSIGNED_BYTE,B),Q.bindFramebuffer.set(null),(B[0]/16777216+B[1]/65536+B[2]/256+B[3])/256}getTerrainMesh(){if(this._mesh)return this._mesh;let w=this.painter.context,B=new a.bd,Q=new a.aY,ee=this.meshSize,le=a.X/ee,qe=ee*ee;for(let Kt=0;Kt<=ee;Kt++)for(let xr=0;xr<=ee;xr++)B.emplaceBack(xr*le,Kt*le,0);for(let Kt=0;Kt<qe;Kt+=ee+1)for(let xr=0;xr<ee;xr++)Q.emplaceBack(xr+Kt,ee+xr+Kt+1,ee+xr+Kt+2),Q.emplaceBack(xr+Kt,ee+xr+Kt+2,xr+Kt+1);let Xe=B.length,ot=Xe+2*(ee+1);for(let Kt of[0,1])for(let xr=0;xr<=ee;xr++)for(let Ir of[0,1])B.emplaceBack(xr*le,Kt*a.X,Ir);for(let Kt=0;Kt<2*ee;Kt+=2)Q.emplaceBack(ot+Kt,ot+Kt+1,ot+Kt+3),Q.emplaceBack(ot+Kt,ot+Kt+3,ot+Kt+2),Q.emplaceBack(Xe+Kt,Xe+Kt+3,Xe+Kt+1),Q.emplaceBack(Xe+Kt,Xe+Kt+2,Xe+Kt+3);let Tt=B.length,Yt=Tt+2*(ee+1);for(let Kt of[0,1])for(let xr=0;xr<=ee;xr++)for(let Ir of[0,1])B.emplaceBack(Kt*a.X,xr*le,Ir);for(let Kt=0;Kt<2*ee;Kt+=2)Q.emplaceBack(Tt+Kt,Tt+Kt+1,Tt+Kt+3),Q.emplaceBack(Tt+Kt,Tt+Kt+3,Tt+Kt+2),Q.emplaceBack(Yt+Kt,Yt+Kt+3,Yt+Kt+1),Q.emplaceBack(Yt+Kt,Yt+Kt+2,Yt+Kt+3);return this._mesh=new Eu(w.createVertexBuffer(B,Ka.members),w.createIndexBuffer(Q),a.a0.simpleSegment(0,0,B.length,Q.length)),this._mesh}getMeshFrameDelta(w){return 2*Math.PI*a.be/Math.pow(2,w)/5}getMinTileElevationForLngLatZoom(w,B){var Q;let{tileID:ee}=this._getOverscaledTileIDFromLngLatZoom(w,B);return(Q=this.getMinMaxElevation(ee).minElevation)!==null&&Q!==void 0?Q:0}getMinMaxElevation(w){let B=this.getTerrainData(w).tile,Q={minElevation:null,maxElevation:null};return B&&B.dem&&(Q.minElevation=B.dem.min*this.exaggeration,Q.maxElevation=B.dem.max*this.exaggeration),Q}_getOverscaledTileIDFromLngLatZoom(w,B){let Q=a.Z.fromLngLat(w.wrap()),ee=(1<<B)*a.X,le=Q.x*ee,qe=Q.y*ee,Xe=Math.floor(le/a.X),ot=Math.floor(qe/a.X);return{tileID:new a.S(B,0,B,Xe,ot),mercatorX:le,mercatorY:qe}}}class Ss{constructor(w,B,Q){this._context=w,this._size=B,this._tileSize=Q,this._objects=[],this._recentlyUsed=[],this._stamp=0}destruct(){for(let w of this._objects)w.texture.destroy(),w.fbo.destroy()}_createObject(w){let B=this._context.createFramebuffer(this._tileSize,this._tileSize,!0,!0),Q=new g(this._context,{width:this._tileSize,height:this._tileSize,data:null},this._context.gl.RGBA);return Q.bind(this._context.gl.LINEAR,this._context.gl.CLAMP_TO_EDGE),B.depthAttachment.set(this._context.createRenderbuffer(this._context.gl.DEPTH_STENCIL,this._tileSize,this._tileSize)),B.colorAttachment.set(Q.texture),{id:w,fbo:B,texture:Q,stamp:-1,inUse:!1}}getObjectForId(w){return this._objects[w]}useObject(w){w.inUse=!0,this._recentlyUsed=this._recentlyUsed.filter(B=>w.id!==B),this._recentlyUsed.push(w.id)}stampObject(w){w.stamp=++this._stamp}getOrCreateFreeObject(){for(let B of this._recentlyUsed)if(!this._objects[B].inUse)return this._objects[B];if(this._objects.length>=this._size)throw new Error(\"No free RenderPool available, call freeAllObjects() required!\");let w=this._createObject(this._objects.length);return this._objects.push(w),w}freeObject(w){w.inUse=!1}freeAllObjects(){for(let w of this._objects)this.freeObject(w)}isFull(){return!(this._objects.length<this._size)&&this._objects.some(w=>!w.inUse)===!1}}let as={background:!0,fill:!0,line:!0,raster:!0,hillshade:!0};class ws{constructor(w,B){this.painter=w,this.terrain=B,this.pool=new Ss(w.context,30,B.sourceCache.tileSize*B.qualityFactor)}destruct(){this.pool.destruct()}getTexture(w){return this.pool.getObjectForId(w.rtt[this._stacks.length-1].id).texture}prepareForRender(w,B){this._stacks=[],this._prevType=null,this._rttTiles=[],this._renderableTiles=this.terrain.sourceCache.getRenderableTiles(),this._renderableLayerIds=w._order.filter(Q=>!w._layers[Q].isHidden(B)),this._coordsDescendingInv={};for(let Q in w.sourceCaches){this._coordsDescendingInv[Q]={};let ee=w.sourceCaches[Q].getVisibleCoordinates();for(let le of ee){let qe=this.terrain.sourceCache.getTerrainCoords(le);for(let Xe in qe)this._coordsDescendingInv[Q][Xe]||(this._coordsDescendingInv[Q][Xe]=[]),this._coordsDescendingInv[Q][Xe].push(qe[Xe])}}this._coordsDescendingInvStr={};for(let Q of w._order){let ee=w._layers[Q],le=ee.source;if(as[ee.type]&&!this._coordsDescendingInvStr[le]){this._coordsDescendingInvStr[le]={};for(let qe in this._coordsDescendingInv[le])this._coordsDescendingInvStr[le][qe]=this._coordsDescendingInv[le][qe].map(Xe=>Xe.key).sort().join()}}for(let Q of this._renderableTiles)for(let ee in this._coordsDescendingInvStr){let le=this._coordsDescendingInvStr[ee][Q.tileID.key];le&&le!==Q.rttCoords[ee]&&(Q.rtt=[])}}renderLayer(w){if(w.isHidden(this.painter.transform.zoom))return!1;let B=w.type,Q=this.painter,ee=this._renderableLayerIds[this._renderableLayerIds.length-1]===w.id;if(as[B]&&(this._prevType&&as[this._prevType]||this._stacks.push([]),this._prevType=B,this._stacks[this._stacks.length-1].push(w.id),!ee))return!0;if(as[this._prevType]||as[B]&&ee){this._prevType=B;let le=this._stacks.length-1,qe=this._stacks[le]||[];for(let Xe of this._renderableTiles){if(this.pool.isFull()&&(js(this.painter,this.terrain,this._rttTiles),this._rttTiles=[],this.pool.freeAllObjects()),this._rttTiles.push(Xe),Xe.rtt[le]){let Tt=this.pool.getObjectForId(Xe.rtt[le].id);if(Tt.stamp===Xe.rtt[le].stamp){this.pool.useObject(Tt);continue}}let ot=this.pool.getOrCreateFreeObject();this.pool.useObject(ot),this.pool.stampObject(ot),Xe.rtt[le]={id:ot.id,stamp:ot.stamp},Q.context.bindFramebuffer.set(ot.fbo.framebuffer),Q.context.clear({color:a.aM.transparent,stencil:0}),Q.currentStencilSource=void 0;for(let Tt=0;Tt<qe.length;Tt++){let Yt=Q.style._layers[qe[Tt]],Kt=Yt.source?this._coordsDescendingInv[Yt.source][Xe.tileID.key]:[Xe.tileID];Q.context.viewport.set([0,0,ot.fbo.width,ot.fbo.height]),Q._renderTileClippingMasks(Yt,Kt),Q.renderLayer(Q,Q.style.sourceCaches[Yt.source],Yt,Kt),Yt.source&&(Xe.rttCoords[Yt.source]=this._coordsDescendingInvStr[Yt.source][Xe.tileID.key])}}return js(this.painter,this.terrain,this._rttTiles),this._rttTiles=[],this.pool.freeAllObjects(),as[B]}return!1}}let Ho={\"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\":\"MapLibre logo\",\"Map.Title\":\"Map\",\"Marker.Title\":\"Map marker\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"Popup.Close\":\"Close popup\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\",\"TerrainControl.Enable\":\"Enable terrain\",\"TerrainControl.Disable\":\"Disable terrain\",\"CooperativeGesturesHandler.WindowsHelpText\":\"Use Ctrl + scroll to zoom the map\",\"CooperativeGesturesHandler.MacHelpText\":\"Use \\u2318 + scroll to zoom the map\",\"CooperativeGesturesHandler.MobileHelpText\":\"Use two fingers to move the map\"},ml=o,Ws={hash:!1,interactive:!0,bearingSnap:7,attributionControl:La,maplibreLogo:!1,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,refreshExpiredTiles:!0,scrollZoom:!0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:60,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,cooperativeGestures:!1,trackResize:!0,center:[0,0],zoom:0,bearing:0,pitch:0,renderWorldCopies:!0,maxTileCacheSize:null,maxTileCacheZoomLevels:a.a.MAX_TILE_CACHE_ZOOM_LEVELS,transformRequest:null,transformCameraUpdate:null,fadeDuration:300,crossSourceCollisions:!0,clickTolerance:3,localIdeographFontFamily:\"sans-serif\",pitchWithRotate:!0,validateStyle:!0,maxCanvasSize:[4096,4096],cancelPendingTileRequestsWhileZooming:!0},Ls=ue=>{ue.touchstart=ue.dragStart,ue.touchmoveWindow=ue.dragMove,ue.touchend=ue.dragEnd},va={showCompass:!0,showZoom:!0,visualizePitch:!1};class no{constructor(w,B,Q=!1){this.mousedown=qe=>{this.startMouse(a.e({},qe,{ctrlKey:!0,preventDefault:()=>qe.preventDefault()}),c.mousePos(this.element,qe)),c.addEventListener(window,\"mousemove\",this.mousemove),c.addEventListener(window,\"mouseup\",this.mouseup)},this.mousemove=qe=>{this.moveMouse(qe,c.mousePos(this.element,qe))},this.mouseup=qe=>{this.mouseRotate.dragEnd(qe),this.mousePitch&&this.mousePitch.dragEnd(qe),this.offTemp()},this.touchstart=qe=>{qe.targetTouches.length!==1?this.reset():(this._startPos=this._lastPos=c.touchPos(this.element,qe.targetTouches)[0],this.startTouch(qe,this._startPos),c.addEventListener(window,\"touchmove\",this.touchmove,{passive:!1}),c.addEventListener(window,\"touchend\",this.touchend))},this.touchmove=qe=>{qe.targetTouches.length!==1?this.reset():(this._lastPos=c.touchPos(this.element,qe.targetTouches)[0],this.moveTouch(qe,this._lastPos))},this.touchend=qe=>{qe.targetTouches.length===0&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),delete this._startPos,delete this._lastPos,this.offTemp()},this.reset=()=>{this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),this.touchRotate.reset(),this.touchPitch&&this.touchPitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()},this._clickTolerance=10;let ee=w.dragRotate._mouseRotate.getClickTolerance(),le=w.dragRotate._mousePitch.getClickTolerance();this.element=B,this.mouseRotate=Wl({clickTolerance:ee,enable:!0}),this.touchRotate=(({enable:qe,clickTolerance:Xe,bearingDegreesPerPixelMoved:ot=.8})=>{let Tt=new uf;return new Wu({clickTolerance:Xe,move:(Yt,Kt)=>({bearingDelta:(Kt.x-Yt.x)*ot}),moveStateManager:Tt,enable:qe,assignEvents:Ls})})({clickTolerance:ee,enable:!0}),this.map=w,Q&&(this.mousePitch=ah({clickTolerance:le,enable:!0}),this.touchPitch=(({enable:qe,clickTolerance:Xe,pitchDegreesPerPixelMoved:ot=-.5})=>{let Tt=new uf;return new Wu({clickTolerance:Xe,move:(Yt,Kt)=>({pitchDelta:(Kt.y-Yt.y)*ot}),moveStateManager:Tt,enable:qe,assignEvents:Ls})})({clickTolerance:le,enable:!0})),c.addEventListener(B,\"mousedown\",this.mousedown),c.addEventListener(B,\"touchstart\",this.touchstart,{passive:!1}),c.addEventListener(B,\"touchcancel\",this.reset)}startMouse(w,B){this.mouseRotate.dragStart(w,B),this.mousePitch&&this.mousePitch.dragStart(w,B),c.disableDrag()}startTouch(w,B){this.touchRotate.dragStart(w,B),this.touchPitch&&this.touchPitch.dragStart(w,B),c.disableDrag()}moveMouse(w,B){let Q=this.map,{bearingDelta:ee}=this.mouseRotate.dragMove(w,B)||{};if(ee&&Q.setBearing(Q.getBearing()+ee),this.mousePitch){let{pitchDelta:le}=this.mousePitch.dragMove(w,B)||{};le&&Q.setPitch(Q.getPitch()+le)}}moveTouch(w,B){let Q=this.map,{bearingDelta:ee}=this.touchRotate.dragMove(w,B)||{};if(ee&&Q.setBearing(Q.getBearing()+ee),this.touchPitch){let{pitchDelta:le}=this.touchPitch.dragMove(w,B)||{};le&&Q.setPitch(Q.getPitch()+le)}}off(){let w=this.element;c.removeEventListener(w,\"mousedown\",this.mousedown),c.removeEventListener(w,\"touchstart\",this.touchstart,{passive:!1}),c.removeEventListener(window,\"touchmove\",this.touchmove,{passive:!1}),c.removeEventListener(window,\"touchend\",this.touchend),c.removeEventListener(w,\"touchcancel\",this.reset),this.offTemp()}offTemp(){c.enableDrag(),c.removeEventListener(window,\"mousemove\",this.mousemove),c.removeEventListener(window,\"mouseup\",this.mouseup),c.removeEventListener(window,\"touchmove\",this.touchmove,{passive:!1}),c.removeEventListener(window,\"touchend\",this.touchend)}}let ys;function rs(ue,w,B){let Q=new a.N(ue.lng,ue.lat);if(ue=new a.N(ue.lng,ue.lat),w){let ee=new a.N(ue.lng-360,ue.lat),le=new a.N(ue.lng+360,ue.lat),qe=B.locationPoint(ue).distSqr(w);B.locationPoint(ee).distSqr(w)<qe?ue=ee:B.locationPoint(le).distSqr(w)<qe&&(ue=le)}for(;Math.abs(ue.lng-B.center.lng)>180;){let ee=B.locationPoint(ue);if(ee.x>=0&&ee.y>=0&&ee.x<=B.width&&ee.y<=B.height)break;ue.lng>B.center.lng?ue.lng-=360:ue.lng+=360}return ue.lng!==Q.lng&&B.locationPoint(ue).y>B.height/2-B.getHorizon()?ue:Q}let $l={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 Cu(ue,w,B){let Q=ue.classList;for(let ee in $l)Q.remove(`maplibregl-${B}-anchor-${ee}`);Q.add(`maplibregl-${B}-anchor-${w}`)}class Yu extends a.E{constructor(w){if(super(),this._onKeyPress=B=>{let Q=B.code,ee=B.charCode||B.keyCode;Q!==\"Space\"&&Q!==\"Enter\"&&ee!==32&&ee!==13||this.togglePopup()},this._onMapClick=B=>{let Q=B.originalEvent.target,ee=this._element;this._popup&&(Q===ee||ee.contains(Q))&&this.togglePopup()},this._update=B=>{var Q;if(!this._map)return;let ee=this._map.loaded()&&!this._map.isMoving();((B==null?void 0:B.type)===\"terrain\"||(B==null?void 0:B.type)===\"render\"&&!ee)&&this._map.once(\"render\",this._update),this._lngLat=this._map.transform.renderWorldCopies?rs(this._lngLat,this._flatPos,this._map.transform):(Q=this._lngLat)===null||Q===void 0?void 0:Q.wrap(),this._flatPos=this._pos=this._map.project(this._lngLat)._add(this._offset),this._map.terrain&&(this._flatPos=this._map.transform.locationPoint(this._lngLat)._add(this._offset));let le=\"\";this._rotationAlignment===\"viewport\"||this._rotationAlignment===\"auto\"?le=`rotateZ(${this._rotation}deg)`:this._rotationAlignment===\"map\"&&(le=`rotateZ(${this._rotation-this._map.getBearing()}deg)`);let qe=\"\";this._pitchAlignment===\"viewport\"||this._pitchAlignment===\"auto\"?qe=\"rotateX(0deg)\":this._pitchAlignment===\"map\"&&(qe=`rotateX(${this._map.getPitch()}deg)`),this._subpixelPositioning||B&&B.type!==\"moveend\"||(this._pos=this._pos.round()),c.setTransform(this._element,`${$l[this._anchor]} translate(${this._pos.x}px, ${this._pos.y}px) ${qe} ${le}`),u.frameAsync(new AbortController).then(()=>{this._updateOpacity(B&&B.type===\"moveend\")}).catch(()=>{})},this._onMove=B=>{if(!this._isDragging){let Q=this._clickTolerance||this._map._clickTolerance;this._isDragging=B.point.dist(this._pointerdownPos)>=Q}this._isDragging&&(this._pos=B.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",this._state===\"pending\"&&(this._state=\"active\",this.fire(new a.k(\"dragstart\"))),this.fire(new a.k(\"drag\")))},this._onUp=()=>{this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._pointerdownPos=null,this._isDragging=!1,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),this._state===\"active\"&&this.fire(new a.k(\"dragend\")),this._state=\"inactive\"},this._addDragHandler=B=>{this._element.contains(B.originalEvent.target)&&(B.preventDefault(),this._positionDelta=B.point.sub(this._pos).add(this._offset),this._pointerdownPos=B.point,this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},this._anchor=w&&w.anchor||\"center\",this._color=w&&w.color||\"#3FB1CE\",this._scale=w&&w.scale||1,this._draggable=w&&w.draggable||!1,this._clickTolerance=w&&w.clickTolerance||0,this._subpixelPositioning=w&&w.subpixelPositioning||!1,this._isDragging=!1,this._state=\"inactive\",this._rotation=w&&w.rotation||0,this._rotationAlignment=w&&w.rotationAlignment||\"auto\",this._pitchAlignment=w&&w.pitchAlignment&&w.pitchAlignment!==\"auto\"?w.pitchAlignment:this._rotationAlignment,this.setOpacity(),this.setOpacity(w==null?void 0:w.opacity,w==null?void 0:w.opacityWhenCovered),w&&w.element)this._element=w.element,this._offset=a.P.convert(w&&w.offset||[0,0]);else{this._defaultMarker=!0,this._element=c.create(\"div\");let B=c.createNS(\"http://www.w3.org/2000/svg\",\"svg\"),Q=41,ee=27;B.setAttributeNS(null,\"display\",\"block\"),B.setAttributeNS(null,\"height\",`${Q}px`),B.setAttributeNS(null,\"width\",`${ee}px`),B.setAttributeNS(null,\"viewBox\",`0 0 ${ee} ${Q}`);let le=c.createNS(\"http://www.w3.org/2000/svg\",\"g\");le.setAttributeNS(null,\"stroke\",\"none\"),le.setAttributeNS(null,\"stroke-width\",\"1\"),le.setAttributeNS(null,\"fill\",\"none\"),le.setAttributeNS(null,\"fill-rule\",\"evenodd\");let qe=c.createNS(\"http://www.w3.org/2000/svg\",\"g\");qe.setAttributeNS(null,\"fill-rule\",\"nonzero\");let Xe=c.createNS(\"http://www.w3.org/2000/svg\",\"g\");Xe.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),Xe.setAttributeNS(null,\"fill\",\"#000000\");let ot=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];for(let Be of ot){let et=c.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");et.setAttributeNS(null,\"opacity\",\"0.04\"),et.setAttributeNS(null,\"cx\",\"10.5\"),et.setAttributeNS(null,\"cy\",\"5.80029008\"),et.setAttributeNS(null,\"rx\",Be.rx),et.setAttributeNS(null,\"ry\",Be.ry),Xe.appendChild(et)}let Tt=c.createNS(\"http://www.w3.org/2000/svg\",\"g\");Tt.setAttributeNS(null,\"fill\",this._color);let Yt=c.createNS(\"http://www.w3.org/2000/svg\",\"path\");Yt.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\"),Tt.appendChild(Yt);let 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De=c.createNS(\"http://www.w3.org/2000/svg\",\"circle\");De.setAttributeNS(null,\"fill\",\"#FFFFFF\"),De.setAttributeNS(null,\"cx\",\"5.5\"),De.setAttributeNS(null,\"cy\",\"5.5\"),De.setAttributeNS(null,\"r\",\"5.4999962\"),ve.appendChild(be),ve.appendChild(De),qe.appendChild(Xe),qe.appendChild(Tt),qe.appendChild(Kt),qe.appendChild(Ir),qe.appendChild(ve),B.appendChild(qe),B.setAttributeNS(null,\"height\",Q*this._scale+\"px\"),B.setAttributeNS(null,\"width\",ee*this._scale+\"px\"),this._element.appendChild(B),this._offset=a.P.convert(w&&w.offset||[0,-14])}if(this._element.classList.add(\"maplibregl-marker\"),this._element.addEventListener(\"dragstart\",B=>{B.preventDefault()}),this._element.addEventListener(\"mousedown\",B=>{B.preventDefault()}),Cu(this._element,this._anchor,\"marker\"),w&&w.className)for(let B of w.className.split(\" \"))this._element.classList.add(B);this._popup=null}addTo(w){return 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this._lngLat}setLngLat(w){return this._lngLat=a.N.convert(w),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this}getElement(){return this._element}setPopup(w){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),w){if(!(\"offset\"in w.options)){let ee=Math.abs(13.5)/Math.SQRT2;w.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[ee,-1*(38.1-13.5+ee)],\"bottom-right\":[-ee,-1*(38.1-13.5+ee)],left:[13.5,-1*(38.1-13.5)],right:[-13.5,-1*(38.1-13.5)]}:this._offset}this._popup=w,this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this}setSubpixelPositioning(w){return this._subpixelPositioning=w,this}getPopup(){return this._popup}togglePopup(){let w=this._popup;return this._element.style.opacity===this._opacityWhenCovered?this:w?(w.isOpen()?w.remove():(w.setLngLat(this._lngLat),w.addTo(this._map)),this):this}_updateOpacity(w=!1){var B,Q;if(!(!((B=this._map)===null||B===void 0)&&B.terrain))return void(this._element.style.opacity!==this._opacity&&(this._element.style.opacity=this._opacity));if(w)this._opacityTimeout=null;else{if(this._opacityTimeout)return;this._opacityTimeout=setTimeout(()=>{this._opacityTimeout=null},100)}let ee=this._map,le=ee.terrain.depthAtPoint(this._pos),qe=ee.terrain.getElevationForLngLatZoom(this._lngLat,ee.transform.tileZoom);if(ee.transform.lngLatToCameraDepth(this._lngLat,qe)-le<.006)return void(this._element.style.opacity=this._opacity);let Xe=-this._offset.y/ee.transform._pixelPerMeter,ot=Math.sin(ee.getPitch()*Math.PI/180)*Xe,Tt=ee.terrain.depthAtPoint(new a.P(this._pos.x,this._pos.y-this._offset.y)),Yt=ee.transform.lngLatToCameraDepth(this._lngLat,qe+ot)-Tt>.006;!((Q=this._popup)===null||Q===void 0)&&Q.isOpen()&&Yt&&this._popup.remove(),this._element.style.opacity=Yt?this._opacityWhenCovered:this._opacity}getOffset(){return this._offset}setOffset(w){return this._offset=a.P.convert(w),this._update(),this}addClassName(w){this._element.classList.add(w)}removeClassName(w){this._element.classList.remove(w)}toggleClassName(w){return this._element.classList.toggle(w)}setDraggable(w){return this._draggable=!!w,this._map&&(w?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this}isDraggable(){return this._draggable}setRotation(w){return this._rotation=w||0,this._update(),this}getRotation(){return this._rotation}setRotationAlignment(w){return this._rotationAlignment=w||\"auto\",this._update(),this}getRotationAlignment(){return this._rotationAlignment}setPitchAlignment(w){return this._pitchAlignment=w&&w!==\"auto\"?w:this._rotationAlignment,this._update(),this}getPitchAlignment(){return this._pitchAlignment}setOpacity(w,B){return w===void 0&&B===void 0&&(this._opacity=\"1\",this._opacityWhenCovered=\"0.2\"),w!==void 0&&(this._opacity=w),B!==void 0&&(this._opacityWhenCovered=B),this._map&&this._updateOpacity(!0),this}}let Nc={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0},pu=0,Uc=!1,xu={maxWidth:100,unit:\"metric\"};function Ac(ue,w,B){let Q=B&&B.maxWidth||100,ee=ue._container.clientHeight/2,le=ue.unproject([0,ee]),qe=ue.unproject([Q,ee]),Xe=le.distanceTo(qe);if(B&&B.unit===\"imperial\"){let ot=3.2808*Xe;ot>5280?Ua(w,Q,ot/5280,ue._getUIString(\"ScaleControl.Miles\")):Ua(w,Q,ot,ue._getUIString(\"ScaleControl.Feet\"))}else B&&B.unit===\"nautical\"?Ua(w,Q,Xe/1852,ue._getUIString(\"ScaleControl.NauticalMiles\")):Xe>=1e3?Ua(w,Q,Xe/1e3,ue._getUIString(\"ScaleControl.Kilometers\")):Ua(w,Q,Xe,ue._getUIString(\"ScaleControl.Meters\"))}function Ua(ue,w,B,Q){let ee=function(le){let qe=Math.pow(10,`${Math.floor(le)}`.length-1),Xe=le/qe;return Xe=Xe>=10?10:Xe>=5?5:Xe>=3?3:Xe>=2?2:Xe>=1?1:function(ot){let Tt=Math.pow(10,Math.ceil(-Math.log(ot)/Math.LN10));return Math.round(ot*Tt)/Tt}(Xe),qe*Xe}(B);ue.style.width=w*(ee/B)+\"px\",ue.innerHTML=`${ee}&nbsp;${Q}`}let oo={closeButton:!0,closeOnClick:!0,focusAfterOpen:!0,className:\"\",maxWidth:\"240px\",subpixelPositioning:!1},Vc=[\"a[href]\",\"[tabindex]:not([tabindex='-1'])\",\"[contenteditable]:not([contenteditable='false'])\",\"button:not([disabled])\",\"input:not([disabled])\",\"select:not([disabled])\",\"textarea:not([disabled])\"].join(\", \");function hc(ue){if(ue){if(typeof ue==\"number\"){let w=Math.round(Math.abs(ue)/Math.SQRT2);return{center:new a.P(0,0),top:new a.P(0,ue),\"top-left\":new a.P(w,w),\"top-right\":new a.P(-w,w),bottom:new a.P(0,-ue),\"bottom-left\":new a.P(w,-w),\"bottom-right\":new a.P(-w,-w),left:new a.P(ue,0),right:new a.P(-ue,0)}}if(ue instanceof a.P||Array.isArray(ue)){let w=a.P.convert(ue);return{center:w,top:w,\"top-left\":w,\"top-right\":w,bottom:w,\"bottom-left\":w,\"bottom-right\":w,left:w,right:w}}return{center:a.P.convert(ue.center||[0,0]),top:a.P.convert(ue.top||[0,0]),\"top-left\":a.P.convert(ue[\"top-left\"]||[0,0]),\"top-right\":a.P.convert(ue[\"top-right\"]||[0,0]),bottom:a.P.convert(ue.bottom||[0,0]),\"bottom-left\":a.P.convert(ue[\"bottom-left\"]||[0,0]),\"bottom-right\":a.P.convert(ue[\"bottom-right\"]||[0,0]),left:a.P.convert(ue.left||[0,0]),right:a.P.convert(ue.right||[0,0])}}return hc(new a.P(0,0))}let Ku=o;i.AJAXError=a.bh,i.Evented=a.E,i.LngLat=a.N,i.MercatorCoordinate=a.Z,i.Point=a.P,i.addProtocol=a.bi,i.config=a.a,i.removeProtocol=a.bj,i.AttributionControl=Na,i.BoxZoomHandler=ku,i.CanvasSource=Jt,i.CooperativeGesturesHandler=Qi,i.DoubleClickZoomHandler=ki,i.DragPanHandler=wn,i.DragRotateHandler=Nn,i.EdgeInsets=hu,i.FullscreenControl=class extends a.E{constructor(ue={}){super(),this._onFullscreenChange=()=>{var w;let B=window.document.fullscreenElement||window.document.mozFullScreenElement||window.document.webkitFullscreenElement||window.document.msFullscreenElement;for(;!((w=B==null?void 0:B.shadowRoot)===null||w===void 0)&&w.fullscreenElement;)B=B.shadowRoot.fullscreenElement;B===this._container!==this._fullscreen&&this._handleFullscreenChange()},this._onClickFullscreen=()=>{this._isFullscreen()?this._exitFullscreen():this._requestFullscreen()},this._fullscreen=!1,ue&&ue.container&&(ue.container instanceof HTMLElement?this._container=ue.container:a.w(\"Full screen control 'container' must be a DOM element.\")),\"onfullscreenchange\"in document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in document&&(this._fullscreenchange=\"MSFullscreenChange\")}onAdd(ue){return this._map=ue,this._container||(this._container=this._map.getContainer()),this._controlContainer=c.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._setupUI(),this._controlContainer}onRemove(){c.remove(this._controlContainer),this._map=null,window.document.removeEventListener(this._fullscreenchange,this._onFullscreenChange)}_setupUI(){let ue=this._fullscreenButton=c.create(\"button\",\"maplibregl-ctrl-fullscreen\",this._controlContainer);c.create(\"span\",\"maplibregl-ctrl-icon\",ue).setAttribute(\"aria-hidden\",\"true\"),ue.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),window.document.addEventListener(this._fullscreenchange,this._onFullscreenChange)}_updateTitle(){let ue=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",ue),this._fullscreenButton.title=ue}_getTitle(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")}_isFullscreen(){return this._fullscreen}_handleFullscreenChange(){this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"maplibregl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"maplibregl-ctrl-fullscreen\"),this._updateTitle(),this._fullscreen?(this.fire(new a.k(\"fullscreenstart\")),this._prevCooperativeGesturesEnabled=this._map.cooperativeGestures.isEnabled(),this._map.cooperativeGestures.disable()):(this.fire(new a.k(\"fullscreenend\")),this._prevCooperativeGesturesEnabled&&this._map.cooperativeGestures.enable())}_exitFullscreen(){window.document.exitFullscreen?window.document.exitFullscreen():window.document.mozCancelFullScreen?window.document.mozCancelFullScreen():window.document.msExitFullscreen?window.document.msExitFullscreen():window.document.webkitCancelFullScreen?window.document.webkitCancelFullScreen():this._togglePseudoFullScreen()}_requestFullscreen(){this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen?this._container.webkitRequestFullscreen():this._togglePseudoFullScreen()}_togglePseudoFullScreen(){this._container.classList.toggle(\"maplibregl-pseudo-fullscreen\"),this._handleFullscreenChange(),this._map.resize()}},i.GeoJSONSource=st,i.GeolocateControl=class extends a.E{constructor(ue){super(),this._onSuccess=w=>{if(this._map){if(this._isOutOfMapMaxBounds(w))return this._setErrorState(),this.fire(new a.k(\"outofmaxbounds\",w)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=w,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-background\");break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}this.options.showUserLocation&&this._watchState!==\"OFF\"&&this._updateMarker(w),this.options.trackUserLocation&&this._watchState!==\"ACTIVE_LOCK\"||this._updateCamera(w),this.options.showUserLocation&&this._dotElement.classList.remove(\"maplibregl-user-location-dot-stale\"),this.fire(new a.k(\"geolocate\",w)),this._finish()}},this._updateCamera=w=>{let B=new a.N(w.coords.longitude,w.coords.latitude),Q=w.coords.accuracy,ee=this._map.getBearing(),le=a.e({bearing:ee},this.options.fitBoundsOptions),qe=ce.fromLngLat(B,Q);this._map.fitBounds(qe,le,{geolocateSource:!0})},this._updateMarker=w=>{if(w){let B=new a.N(w.coords.longitude,w.coords.latitude);this._accuracyCircleMarker.setLngLat(B).addTo(this._map),this._userLocationDotMarker.setLngLat(B).addTo(this._map),this._accuracy=w.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},this._onZoom=()=>{this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},this._onError=w=>{if(this._map){if(this.options.trackUserLocation)if(w.code===1){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;let B=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=B,this._geolocateButton.setAttribute(\"aria-label\",B),this._geolocationWatchID!==void 0&&this._clearWatch()}else{if(w.code===3&&Uc)return;this._setErrorState()}this._watchState!==\"OFF\"&&this.options.showUserLocation&&this._dotElement.classList.add(\"maplibregl-user-location-dot-stale\"),this.fire(new a.k(\"error\",w)),this._finish()}},this._finish=()=>{this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},this._setupUI=()=>{this._map&&(this._container.addEventListener(\"contextmenu\",w=>w.preventDefault()),this._geolocateButton=c.create(\"button\",\"maplibregl-ctrl-geolocate\",this._container),c.create(\"span\",\"maplibregl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",\"true\"),this._geolocateButton.type=\"button\",this._geolocateButton.disabled=!0)},this._finishSetupUI=w=>{if(this._map){if(w===!1){a.w(\"Geolocation support is not available so the GeolocateControl will be disabled.\");let B=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=B,this._geolocateButton.setAttribute(\"aria-label\",B)}else{let B=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.disabled=!1,this._geolocateButton.title=B,this._geolocateButton.setAttribute(\"aria-label\",B)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=c.create(\"div\",\"maplibregl-user-location-dot\"),this._userLocationDotMarker=new Yu({element:this._dotElement}),this._circleElement=c.create(\"div\",\"maplibregl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Yu({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",()=>this.trigger()),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",B=>{B.geolocateSource||this._watchState!==\"ACTIVE_LOCK\"||B.originalEvent&&B.originalEvent.type===\"resize\"||(this._watchState=\"BACKGROUND\",this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this.fire(new a.k(\"trackuserlocationend\")),this.fire(new a.k(\"userlocationlostfocus\")))})}},this.options=a.e({},Nc,ue)}onAdd(ue){return this._map=ue,this._container=c.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._setupUI(),function(){return a._(this,arguments,void 0,function*(w=!1){if(ys!==void 0&&!w)return ys;if(window.navigator.permissions===void 0)return ys=!!window.navigator.geolocation,ys;try{ys=(yield window.navigator.permissions.query({name:\"geolocation\"})).state!==\"denied\"}catch(B){ys=!!window.navigator.geolocation}return ys})}().then(w=>this._finishSetupUI(w)),this._container}onRemove(){this._geolocationWatchID!==void 0&&(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(),c.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,pu=0,Uc=!1}_isOutOfMapMaxBounds(ue){let w=this._map.getMaxBounds(),B=ue.coords;return w&&(B.longitude<w.getWest()||B.longitude>w.getEast()||B.latitude<w.getSouth()||B.latitude>w.getNorth())}_setErrorState(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\");break;case\"ACTIVE_ERROR\":break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}}_updateCircleRadius(){let ue=this._map.getBounds(),w=ue.getSouthEast(),B=ue.getNorthEast(),Q=w.distanceTo(B),ee=Math.ceil(this._accuracy/(Q/this._map._container.clientHeight)*2);this._circleElement.style.width=`${ee}px`,this._circleElement.style.height=`${ee}px`}trigger(){if(!this._setup)return a.w(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new a.k(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":pu--,Uc=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background-error\"),this.fire(new a.k(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new a.k(\"trackuserlocationstart\")),this.fire(new a.k(\"userlocationfocus\"));break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active\");break;case\"OFF\":break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}if(this._watchState===\"OFF\"&&this._geolocationWatchID!==void 0)this._clearWatch();else if(this._geolocationWatchID===void 0){let ue;this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),pu++,pu>1?(ue={maximumAge:6e5,timeout:0},Uc=!0):(ue=this.options.positionOptions,Uc=!1),this._geolocationWatchID=window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,ue)}}else window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0}_clearWatch(){window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)}},i.Hash=Ah,i.ImageSource=Gt,i.KeyboardHandler=Wt,i.LngLatBounds=ce,i.LogoControl=Yn,i.Map=class extends Ra{constructor(ue){a.bf.mark(a.bg.create);let w=Object.assign(Object.assign({},Ws),ue);if(w.minZoom!=null&&w.maxZoom!=null&&w.minZoom>w.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(w.minPitch!=null&&w.maxPitch!=null&&w.minPitch>w.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(w.minPitch!=null&&w.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(w.maxPitch!=null&&w.maxPitch>85)throw new Error(\"maxPitch must be less than or equal to 85\");if(super(new nl(w.minZoom,w.maxZoom,w.minPitch,w.maxPitch,w.renderWorldCopies),{bearingSnap:w.bearingSnap}),this._idleTriggered=!1,this._crossFadingFactor=1,this._renderTaskQueue=new Dn,this._controls=[],this._mapId=a.a4(),this._contextLost=B=>{B.preventDefault(),this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this.fire(new a.k(\"webglcontextlost\",{originalEvent:B}))},this._contextRestored=B=>{this._setupPainter(),this.resize(),this._update(),this.fire(new a.k(\"webglcontextrestored\",{originalEvent:B}))},this._onMapScroll=B=>{if(B.target===this._container)return this._container.scrollTop=0,this._container.scrollLeft=0,!1},this._onWindowOnline=()=>{this._update()},this._interactive=w.interactive,this._maxTileCacheSize=w.maxTileCacheSize,this._maxTileCacheZoomLevels=w.maxTileCacheZoomLevels,this._failIfMajorPerformanceCaveat=w.failIfMajorPerformanceCaveat===!0,this._preserveDrawingBuffer=w.preserveDrawingBuffer===!0,this._antialias=w.antialias===!0,this._trackResize=w.trackResize===!0,this._bearingSnap=w.bearingSnap,this._refreshExpiredTiles=w.refreshExpiredTiles===!0,this._fadeDuration=w.fadeDuration,this._crossSourceCollisions=w.crossSourceCollisions===!0,this._collectResourceTiming=w.collectResourceTiming===!0,this._locale=Object.assign(Object.assign({},Ho),w.locale),this._clickTolerance=w.clickTolerance,this._overridePixelRatio=w.pixelRatio,this._maxCanvasSize=w.maxCanvasSize,this.transformCameraUpdate=w.transformCameraUpdate,this.cancelPendingTileRequestsWhileZooming=w.cancelPendingTileRequestsWhileZooming===!0,this._imageQueueHandle=p.addThrottleControl(()=>this.isMoving()),this._requestManager=new k(w.transformRequest),typeof w.container==\"string\"){if(this._container=document.getElementById(w.container),!this._container)throw new Error(`Container '${w.container}' not found.`)}else{if(!(w.container instanceof HTMLElement))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=w.container}if(w.maxBounds&&this.setMaxBounds(w.maxBounds),this._setupContainer(),this._setupPainter(),this.on(\"move\",()=>this._update(!1)).on(\"moveend\",()=>this._update(!1)).on(\"zoom\",()=>this._update(!0)).on(\"terrain\",()=>{this.painter.terrainFacilitator.dirty=!0,this._update(!0)}).once(\"idle\",()=>{this._idleTriggered=!0}),typeof window!=\"undefined\"){addEventListener(\"online\",this._onWindowOnline,!1);let B=!1,Q=nh(ee=>{this._trackResize&&!this._removed&&(this.resize(ee),this.redraw())},50);this._resizeObserver=new ResizeObserver(ee=>{B?Q(ee):B=!0}),this._resizeObserver.observe(this._container)}this.handlers=new Ca(this,w),this._hash=w.hash&&new Ah(typeof w.hash==\"string\"&&w.hash||void 0).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:w.center,zoom:w.zoom,bearing:w.bearing,pitch:w.pitch}),w.bounds&&(this.resize(),this.fitBounds(w.bounds,a.e({},w.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=w.localIdeographFontFamily,this._validateStyle=w.validateStyle,w.style&&this.setStyle(w.style,{localIdeographFontFamily:w.localIdeographFontFamily}),w.attributionControl&&this.addControl(new Na(typeof w.attributionControl==\"boolean\"?void 0:w.attributionControl)),w.maplibreLogo&&this.addControl(new Yn,w.logoPosition),this.on(\"style.load\",()=>{this.transform.unmodified&&this.jumpTo(this.style.stylesheet)}),this.on(\"data\",B=>{this._update(B.dataType===\"style\"),this.fire(new a.k(`${B.dataType}data`,B))}),this.on(\"dataloading\",B=>{this.fire(new a.k(`${B.dataType}dataloading`,B))}),this.on(\"dataabort\",B=>{this.fire(new a.k(\"sourcedataabort\",B))})}_getMapId(){return this._mapId}addControl(ue,w){if(w===void 0&&(w=ue.getDefaultPosition?ue.getDefaultPosition():\"top-right\"),!ue||!ue.onAdd)return this.fire(new a.j(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));let B=ue.onAdd(this);this._controls.push(ue);let Q=this._controlPositions[w];return w.indexOf(\"bottom\")!==-1?Q.insertBefore(B,Q.firstChild):Q.appendChild(B),this}removeControl(ue){if(!ue||!ue.onRemove)return this.fire(new a.j(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));let w=this._controls.indexOf(ue);return w>-1&&this._controls.splice(w,1),ue.onRemove(this),this}hasControl(ue){return this._controls.indexOf(ue)>-1}calculateCameraOptionsFromTo(ue,w,B,Q){return Q==null&&this.terrain&&(Q=this.terrain.getElevationForLngLatZoom(B,this.transform.tileZoom)),super.calculateCameraOptionsFromTo(ue,w,B,Q)}resize(ue){var w;let B=this._containerDimensions(),Q=B[0],ee=B[1],le=this._getClampedPixelRatio(Q,ee);if(this._resizeCanvas(Q,ee,le),this.painter.resize(Q,ee,le),this.painter.overLimit()){let Xe=this.painter.context.gl;this._maxCanvasSize=[Xe.drawingBufferWidth,Xe.drawingBufferHeight];let ot=this._getClampedPixelRatio(Q,ee);this._resizeCanvas(Q,ee,ot),this.painter.resize(Q,ee,ot)}this.transform.resize(Q,ee),(w=this._requestedCameraState)===null||w===void 0||w.resize(Q,ee);let qe=!this._moving;return qe&&(this.stop(),this.fire(new a.k(\"movestart\",ue)).fire(new a.k(\"move\",ue))),this.fire(new a.k(\"resize\",ue)),qe&&this.fire(new a.k(\"moveend\",ue)),this}_getClampedPixelRatio(ue,w){let{0:B,1:Q}=this._maxCanvasSize,ee=this.getPixelRatio(),le=ue*ee,qe=w*ee;return Math.min(le>B?B/le:1,qe>Q?Q/qe:1)*ee}getPixelRatio(){var ue;return(ue=this._overridePixelRatio)!==null&&ue!==void 0?ue:devicePixelRatio}setPixelRatio(ue){this._overridePixelRatio=ue,this.resize()}getBounds(){return this.transform.getBounds()}getMaxBounds(){return this.transform.getMaxBounds()}setMaxBounds(ue){return this.transform.setMaxBounds(ce.convert(ue)),this._update()}setMinZoom(ue){if((ue=ue==null?-2:ue)>=-2&&ue<=this.transform.maxZoom)return this.transform.minZoom=ue,this._update(),this.getZoom()<ue&&this.setZoom(ue),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")}getMinZoom(){return this.transform.minZoom}setMaxZoom(ue){if((ue=ue==null?22:ue)>=this.transform.minZoom)return this.transform.maxZoom=ue,this._update(),this.getZoom()>ue&&this.setZoom(ue),this;throw new Error(\"maxZoom must be greater than the current minZoom\")}getMaxZoom(){return this.transform.maxZoom}setMinPitch(ue){if((ue=ue==null?0:ue)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(ue>=0&&ue<=this.transform.maxPitch)return this.transform.minPitch=ue,this._update(),this.getPitch()<ue&&this.setPitch(ue),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")}getMinPitch(){return this.transform.minPitch}setMaxPitch(ue){if((ue=ue==null?60:ue)>85)throw new Error(\"maxPitch must be less than or equal to 85\");if(ue>=this.transform.minPitch)return this.transform.maxPitch=ue,this._update(),this.getPitch()>ue&&this.setPitch(ue),this;throw new Error(\"maxPitch must be greater than the current minPitch\")}getMaxPitch(){return this.transform.maxPitch}getRenderWorldCopies(){return this.transform.renderWorldCopies}setRenderWorldCopies(ue){return this.transform.renderWorldCopies=ue,this._update()}project(ue){return this.transform.locationPoint(a.N.convert(ue),this.style&&this.terrain)}unproject(ue){return this.transform.pointLocation(a.P.convert(ue),this.terrain)}isMoving(){var ue;return this._moving||((ue=this.handlers)===null||ue===void 0?void 0:ue.isMoving())}isZooming(){var ue;return this._zooming||((ue=this.handlers)===null||ue===void 0?void 0:ue.isZooming())}isRotating(){var ue;return this._rotating||((ue=this.handlers)===null||ue===void 0?void 0:ue.isRotating())}_createDelegatedListener(ue,w,B){if(ue===\"mouseenter\"||ue===\"mouseover\"){let Q=!1;return{layers:w,listener:B,delegates:{mousemove:le=>{let qe=w.filter(ot=>this.getLayer(ot)),Xe=qe.length!==0?this.queryRenderedFeatures(le.point,{layers:qe}):[];Xe.length?Q||(Q=!0,B.call(this,new jl(ue,this,le.originalEvent,{features:Xe}))):Q=!1},mouseout:()=>{Q=!1}}}}if(ue===\"mouseleave\"||ue===\"mouseout\"){let Q=!1;return{layers:w,listener:B,delegates:{mousemove:qe=>{let Xe=w.filter(ot=>this.getLayer(ot));(Xe.length!==0?this.queryRenderedFeatures(qe.point,{layers:Xe}):[]).length?Q=!0:Q&&(Q=!1,B.call(this,new jl(ue,this,qe.originalEvent)))},mouseout:qe=>{Q&&(Q=!1,B.call(this,new jl(ue,this,qe.originalEvent)))}}}}{let Q=ee=>{let le=w.filter(Xe=>this.getLayer(Xe)),qe=le.length!==0?this.queryRenderedFeatures(ee.point,{layers:le}):[];qe.length&&(ee.features=qe,B.call(this,ee),delete ee.features)};return{layers:w,listener:B,delegates:{[ue]:Q}}}}_saveDelegatedListener(ue,w){this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[ue]=this._delegatedListeners[ue]||[],this._delegatedListeners[ue].push(w)}_removeDelegatedListener(ue,w,B){if(!this._delegatedListeners||!this._delegatedListeners[ue])return;let Q=this._delegatedListeners[ue];for(let ee=0;ee<Q.length;ee++){let le=Q[ee];if(le.listener===B&&le.layers.length===w.length&&le.layers.every(qe=>w.includes(qe))){for(let qe in le.delegates)this.off(qe,le.delegates[qe]);return void Q.splice(ee,1)}}}on(ue,w,B){if(B===void 0)return super.on(ue,w);let Q=this._createDelegatedListener(ue,typeof w==\"string\"?[w]:w,B);this._saveDelegatedListener(ue,Q);for(let ee in Q.delegates)this.on(ee,Q.delegates[ee]);return this}once(ue,w,B){if(B===void 0)return super.once(ue,w);let Q=typeof w==\"string\"?[w]:w,ee=this._createDelegatedListener(ue,Q,B);for(let le in ee.delegates){let qe=ee.delegates[le];ee.delegates[le]=(...Xe)=>{this._removeDelegatedListener(ue,Q,B),qe(...Xe)}}this._saveDelegatedListener(ue,ee);for(let le in ee.delegates)this.once(le,ee.delegates[le]);return this}off(ue,w,B){return B===void 0?super.off(ue,w):(this._removeDelegatedListener(ue,typeof w==\"string\"?[w]:w,B),this)}queryRenderedFeatures(ue,w){if(!this.style)return[];let B,Q=ue instanceof a.P||Array.isArray(ue),ee=Q?ue:[[0,0],[this.transform.width,this.transform.height]];if(w=w||(Q?{}:ue)||{},ee instanceof a.P||typeof ee[0]==\"number\")B=[a.P.convert(ee)];else{let le=a.P.convert(ee[0]),qe=a.P.convert(ee[1]);B=[le,new a.P(qe.x,le.y),qe,new a.P(le.x,qe.y),le]}return this.style.queryRenderedFeatures(B,w,this.transform)}querySourceFeatures(ue,w){return this.style.querySourceFeatures(ue,w)}setStyle(ue,w){return(w=a.e({},{localIdeographFontFamily:this._localIdeographFontFamily,validate:this._validateStyle},w)).diff!==!1&&w.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&ue?(this._diffStyle(ue,w),this):(this._localIdeographFontFamily=w.localIdeographFontFamily,this._updateStyle(ue,w))}setTransformRequest(ue){return this._requestManager.setTransformRequest(ue),this}_getUIString(ue){let w=this._locale[ue];if(w==null)throw new Error(`Missing UI string '${ue}'`);return w}_updateStyle(ue,w){if(w.transformStyle&&this.style&&!this.style._loaded)return void this.style.once(\"style.load\",()=>this._updateStyle(ue,w));let B=this.style&&w.transformStyle?this.style.serialize():void 0;return this.style&&(this.style.setEventedParent(null),this.style._remove(!ue)),ue?(this.style=new Ha(this,w||{}),this.style.setEventedParent(this,{style:this.style}),typeof ue==\"string\"?this.style.loadURL(ue,w,B):this.style.loadJSON(ue,w,B),this):(delete this.style,this)}_lazyInitEmptyStyle(){this.style||(this.style=new Ha(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())}_diffStyle(ue,w){if(typeof ue==\"string\"){let B=this._requestManager.transformRequest(ue,\"Style\");a.h(B,new AbortController).then(Q=>{this._updateDiff(Q.data,w)}).catch(Q=>{Q&&this.fire(new a.j(Q))})}else typeof ue==\"object\"&&this._updateDiff(ue,w)}_updateDiff(ue,w){try{this.style.setState(ue,w)&&this._update(!0)}catch(B){a.w(`Unable to perform style diff: ${B.message||B.error||B}.  Rebuilding the style from scratch.`),this._updateStyle(ue,w)}}getStyle(){if(this.style)return this.style.serialize()}isStyleLoaded(){return this.style?this.style.loaded():a.w(\"There is no style added to the map.\")}addSource(ue,w){return this._lazyInitEmptyStyle(),this.style.addSource(ue,w),this._update(!0)}isSourceLoaded(ue){let w=this.style&&this.style.sourceCaches[ue];if(w!==void 0)return w.loaded();this.fire(new a.j(new Error(`There is no source with ID '${ue}'`)))}setTerrain(ue){if(this.style._checkLoaded(),this._terrainDataCallback&&this.style.off(\"data\",this._terrainDataCallback),ue){let w=this.style.sourceCaches[ue.source];if(!w)throw new Error(`cannot load terrain, because there exists no source with ID: ${ue.source}`);this.terrain===null&&w.reload();for(let B in this.style._layers){let Q=this.style._layers[B];Q.type===\"hillshade\"&&Q.source===ue.source&&a.w(\"You are using the same source for a hillshade layer and for 3D terrain. Please consider using two separate sources to improve rendering quality.\")}this.terrain=new Xo(this.painter,w,ue),this.painter.renderToTexture=new ws(this.painter,this.terrain),this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this.transform.elevation=this.terrain.getElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this._terrainDataCallback=B=>{B.dataType===\"style\"?this.terrain.sourceCache.freeRtt():B.dataType===\"source\"&&B.tile&&(B.sourceId!==ue.source||this._elevationFreeze||(this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this.transform.elevation=this.terrain.getElevationForLngLatZoom(this.transform.center,this.transform.tileZoom)),this.terrain.sourceCache.freeRtt(B.tile.tileID))},this.style.on(\"data\",this._terrainDataCallback)}else this.terrain&&this.terrain.sourceCache.destruct(),this.terrain=null,this.painter.renderToTexture&&this.painter.renderToTexture.destruct(),this.painter.renderToTexture=null,this.transform.minElevationForCurrentTile=0,this.transform.elevation=0;return this.fire(new a.k(\"terrain\",{terrain:ue})),this}getTerrain(){var ue,w;return(w=(ue=this.terrain)===null||ue===void 0?void 0:ue.options)!==null&&w!==void 0?w:null}areTilesLoaded(){let ue=this.style&&this.style.sourceCaches;for(let w in ue){let B=ue[w]._tiles;for(let Q in B){let ee=B[Q];if(ee.state!==\"loaded\"&&ee.state!==\"errored\")return!1}}return!0}removeSource(ue){return this.style.removeSource(ue),this._update(!0)}getSource(ue){return this.style.getSource(ue)}addImage(ue,w,B={}){let{pixelRatio:Q=1,sdf:ee=!1,stretchX:le,stretchY:qe,content:Xe,textFitWidth:ot,textFitHeight:Tt}=B;if(this._lazyInitEmptyStyle(),!(w instanceof HTMLImageElement||a.b(w))){if(w.width===void 0||w.height===void 0)return this.fire(new a.j(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));{let{width:Yt,height:Kt,data:xr}=w,Ir=w;return this.style.addImage(ue,{data:new a.R({width:Yt,height:Kt},new Uint8Array(xr)),pixelRatio:Q,stretchX:le,stretchY:qe,content:Xe,textFitWidth:ot,textFitHeight:Tt,sdf:ee,version:0,userImage:Ir}),Ir.onAdd&&Ir.onAdd(this,ue),this}}{let{width:Yt,height:Kt,data:xr}=u.getImageData(w);this.style.addImage(ue,{data:new a.R({width:Yt,height:Kt},xr),pixelRatio:Q,stretchX:le,stretchY:qe,content:Xe,textFitWidth:ot,textFitHeight:Tt,sdf:ee,version:0})}}updateImage(ue,w){let B=this.style.getImage(ue);if(!B)return this.fire(new a.j(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));let Q=w instanceof HTMLImageElement||a.b(w)?u.getImageData(w):w,{width:ee,height:le,data:qe}=Q;if(ee===void 0||le===void 0)return this.fire(new a.j(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(ee!==B.data.width||le!==B.data.height)return this.fire(new a.j(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));let Xe=!(w instanceof HTMLImageElement||a.b(w));return B.data.replace(qe,Xe),this.style.updateImage(ue,B),this}getImage(ue){return this.style.getImage(ue)}hasImage(ue){return ue?!!this.style.getImage(ue):(this.fire(new a.j(new Error(\"Missing required image id\"))),!1)}removeImage(ue){this.style.removeImage(ue)}loadImage(ue){return p.getImage(this._requestManager.transformRequest(ue,\"Image\"),new AbortController)}listImages(){return this.style.listImages()}addLayer(ue,w){return this._lazyInitEmptyStyle(),this.style.addLayer(ue,w),this._update(!0)}moveLayer(ue,w){return this.style.moveLayer(ue,w),this._update(!0)}removeLayer(ue){return this.style.removeLayer(ue),this._update(!0)}getLayer(ue){return this.style.getLayer(ue)}getLayersOrder(){return this.style.getLayersOrder()}setLayerZoomRange(ue,w,B){return this.style.setLayerZoomRange(ue,w,B),this._update(!0)}setFilter(ue,w,B={}){return this.style.setFilter(ue,w,B),this._update(!0)}getFilter(ue){return this.style.getFilter(ue)}setPaintProperty(ue,w,B,Q={}){return this.style.setPaintProperty(ue,w,B,Q),this._update(!0)}getPaintProperty(ue,w){return this.style.getPaintProperty(ue,w)}setLayoutProperty(ue,w,B,Q={}){return this.style.setLayoutProperty(ue,w,B,Q),this._update(!0)}getLayoutProperty(ue,w){return this.style.getLayoutProperty(ue,w)}setGlyphs(ue,w={}){return this._lazyInitEmptyStyle(),this.style.setGlyphs(ue,w),this._update(!0)}getGlyphs(){return this.style.getGlyphsUrl()}addSprite(ue,w,B={}){return this._lazyInitEmptyStyle(),this.style.addSprite(ue,w,B,Q=>{Q||this._update(!0)}),this}removeSprite(ue){return this._lazyInitEmptyStyle(),this.style.removeSprite(ue),this._update(!0)}getSprite(){return this.style.getSprite()}setSprite(ue,w={}){return this._lazyInitEmptyStyle(),this.style.setSprite(ue,w,B=>{B||this._update(!0)}),this}setLight(ue,w={}){return this._lazyInitEmptyStyle(),this.style.setLight(ue,w),this._update(!0)}getLight(){return this.style.getLight()}setSky(ue){return this._lazyInitEmptyStyle(),this.style.setSky(ue),this._update(!0)}getSky(){return this.style.getSky()}setFeatureState(ue,w){return this.style.setFeatureState(ue,w),this._update()}removeFeatureState(ue,w){return this.style.removeFeatureState(ue,w),this._update()}getFeatureState(ue){return this.style.getFeatureState(ue)}getContainer(){return this._container}getCanvasContainer(){return this._canvasContainer}getCanvas(){return this._canvas}_containerDimensions(){let ue=0,w=0;return this._container&&(ue=this._container.clientWidth||400,w=this._container.clientHeight||300),[ue,w]}_setupContainer(){let ue=this._container;ue.classList.add(\"maplibregl-map\");let w=this._canvasContainer=c.create(\"div\",\"maplibregl-canvas-container\",ue);this._interactive&&w.classList.add(\"maplibregl-interactive\"),this._canvas=c.create(\"canvas\",\"maplibregl-canvas\",w),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",this._interactive?\"0\":\"-1\"),this._canvas.setAttribute(\"aria-label\",this._getUIString(\"Map.Title\")),this._canvas.setAttribute(\"role\",\"region\");let B=this._containerDimensions(),Q=this._getClampedPixelRatio(B[0],B[1]);this._resizeCanvas(B[0],B[1],Q);let ee=this._controlContainer=c.create(\"div\",\"maplibregl-control-container\",ue),le=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach(qe=>{le[qe]=c.create(\"div\",`maplibregl-ctrl-${qe} `,ee)}),this._container.addEventListener(\"scroll\",this._onMapScroll,!1)}_resizeCanvas(ue,w,B){this._canvas.width=Math.floor(B*ue),this._canvas.height=Math.floor(B*w),this._canvas.style.width=`${ue}px`,this._canvas.style.height=`${w}px`}_setupPainter(){let ue={alpha:!0,stencil:!0,depth:!0,failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1},w=null;this._canvas.addEventListener(\"webglcontextcreationerror\",Q=>{w={requestedAttributes:ue},Q&&(w.statusMessage=Q.statusMessage,w.type=Q.type)},{once:!0});let B=this._canvas.getContext(\"webgl2\",ue)||this._canvas.getContext(\"webgl\",ue);if(!B){let Q=\"Failed to initialize WebGL\";throw w?(w.message=Q,new Error(JSON.stringify(w))):new Error(Q)}this.painter=new Dc(B,this.transform),f.testSupport(B)}loaded(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()}_update(ue){return this.style&&this.style._loaded?(this._styleDirty=this._styleDirty||ue,this._sourcesDirty=!0,this.triggerRepaint(),this):this}_requestRenderFrame(ue){return this._update(),this._renderTaskQueue.add(ue)}_cancelRenderFrame(ue){this._renderTaskQueue.remove(ue)}_render(ue){let w=this._idleTriggered?this._fadeDuration:0;if(this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(ue),this._removed)return;let B=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;let ee=this.transform.zoom,le=u.now();this.style.zoomHistory.update(ee,le);let qe=new a.z(ee,{now:le,fadeDuration:w,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),Xe=qe.crossFadingFactor();Xe===1&&Xe===this._crossFadingFactor||(B=!0,this._crossFadingFactor=Xe),this.style.update(qe)}this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this.terrain?(this.terrain.sourceCache.update(this.transform,this.terrain),this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this._elevationFreeze||(this.transform.elevation=this.terrain.getElevationForLngLatZoom(this.transform.center,this.transform.tileZoom))):(this.transform.minElevationForCurrentTile=0,this.transform.elevation=0),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,w,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:w,showPadding:this.showPadding}),this.fire(new a.k(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,a.bf.mark(a.bg.load),this.fire(new a.k(\"load\"))),this.style&&(this.style.hasTransitions()||B)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles();let Q=this._sourcesDirty||this._styleDirty||this._placementDirty;return Q||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new a.k(\"idle\")),!this._loaded||this._fullyLoaded||Q||(this._fullyLoaded=!0,a.bf.mark(a.bg.fullLoad)),this}redraw(){return this.style&&(this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this._render(0)),this}remove(){var ue;this._hash&&this._hash.remove();for(let B of this._controls)B.onRemove(this);this._controls=[],this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),typeof window!=\"undefined\"&&removeEventListener(\"online\",this._onWindowOnline,!1),p.removeThrottleControl(this._imageQueueHandle),(ue=this._resizeObserver)===null||ue===void 0||ue.disconnect();let w=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");w!=null&&w.loseContext&&w.loseContext(),this._canvas.removeEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.removeEventListener(\"webglcontextlost\",this._contextLost,!1),c.remove(this._canvasContainer),c.remove(this._controlContainer),this._container.classList.remove(\"maplibregl-map\"),a.bf.clearMetrics(),this._removed=!0,this.fire(new a.k(\"remove\"))}triggerRepaint(){this.style&&!this._frameRequest&&(this._frameRequest=new AbortController,u.frameAsync(this._frameRequest).then(ue=>{a.bf.frame(ue),this._frameRequest=null,this._render(ue)}).catch(()=>{}))}get showTileBoundaries(){return!!this._showTileBoundaries}set showTileBoundaries(ue){this._showTileBoundaries!==ue&&(this._showTileBoundaries=ue,this._update())}get showPadding(){return!!this._showPadding}set showPadding(ue){this._showPadding!==ue&&(this._showPadding=ue,this._update())}get showCollisionBoxes(){return!!this._showCollisionBoxes}set showCollisionBoxes(ue){this._showCollisionBoxes!==ue&&(this._showCollisionBoxes=ue,ue?this.style._generateCollisionBoxes():this._update())}get showOverdrawInspector(){return!!this._showOverdrawInspector}set showOverdrawInspector(ue){this._showOverdrawInspector!==ue&&(this._showOverdrawInspector=ue,this._update())}get repaint(){return!!this._repaint}set repaint(ue){this._repaint!==ue&&(this._repaint=ue,this.triggerRepaint())}get vertices(){return!!this._vertices}set vertices(ue){this._vertices=ue,this._update()}get version(){return ml}getCameraTargetElevation(){return this.transform.elevation}},i.MapMouseEvent=jl,i.MapTouchEvent=lf,i.MapWheelEvent=Hh,i.Marker=Yu,i.NavigationControl=class{constructor(ue){this._updateZoomButtons=()=>{let w=this._map.getZoom(),B=w===this._map.getMaxZoom(),Q=w===this._map.getMinZoom();this._zoomInButton.disabled=B,this._zoomOutButton.disabled=Q,this._zoomInButton.setAttribute(\"aria-disabled\",B.toString()),this._zoomOutButton.setAttribute(\"aria-disabled\",Q.toString())},this._rotateCompassArrow=()=>{let w=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=w},this._setButtonTitle=(w,B)=>{let Q=this._map._getUIString(`NavigationControl.${B}`);w.title=Q,w.setAttribute(\"aria-label\",Q)},this.options=a.e({},va,ue),this._container=c.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",w=>w.preventDefault()),this.options.showZoom&&(this._zoomInButton=this._createButton(\"maplibregl-ctrl-zoom-in\",w=>this._map.zoomIn({},{originalEvent:w})),c.create(\"span\",\"maplibregl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",\"true\"),this._zoomOutButton=this._createButton(\"maplibregl-ctrl-zoom-out\",w=>this._map.zoomOut({},{originalEvent:w})),c.create(\"span\",\"maplibregl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",\"true\")),this.options.showCompass&&(this._compass=this._createButton(\"maplibregl-ctrl-compass\",w=>{this.options.visualizePitch?this._map.resetNorthPitch({},{originalEvent:w}):this._map.resetNorth({},{originalEvent:w})}),this._compassIcon=c.create(\"span\",\"maplibregl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",\"true\"))}onAdd(ue){return this._map=ue,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 no(this._map,this._compass,this.options.visualizePitch)),this._container}onRemove(){c.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}_createButton(ue,w){let B=c.create(\"button\",ue,this._container);return B.type=\"button\",B.addEventListener(\"click\",w),B}},i.Popup=class extends a.E{constructor(ue){super(),this.remove=()=>(this._content&&c.remove(this._content),this._container&&(c.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),this._map._canvasContainer.classList.remove(\"maplibregl-track-pointer\"),delete this._map,this.fire(new a.k(\"close\"))),this),this._onMouseUp=w=>{this._update(w.point)},this._onMouseMove=w=>{this._update(w.point)},this._onDrag=w=>{this._update(w.point)},this._update=w=>{var B;if(!this._map||!this._lngLat&&!this._trackPointer||!this._content)return;if(!this._container){if(this._container=c.create(\"div\",\"maplibregl-popup\",this._map.getContainer()),this._tip=c.create(\"div\",\"maplibregl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className)for(let Xe of this.options.className.split(\" \"))this._container.classList.add(Xe);this._closeButton&&this._closeButton.setAttribute(\"aria-label\",this._map._getUIString(\"Popup.Close\")),this._trackPointer&&this._container.classList.add(\"maplibregl-popup-track-pointer\")}if(this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._lngLat=this._map.transform.renderWorldCopies&&!this._trackPointer?rs(this._lngLat,this._flatPos,this._map.transform):(B=this._lngLat)===null||B===void 0?void 0:B.wrap(),this._trackPointer&&!w)return;let Q=this._flatPos=this._pos=this._trackPointer&&w?w:this._map.project(this._lngLat);this._map.terrain&&(this._flatPos=this._trackPointer&&w?w:this._map.transform.locationPoint(this._lngLat));let ee=this.options.anchor,le=hc(this.options.offset);if(!ee){let Xe=this._container.offsetWidth,ot=this._container.offsetHeight,Tt;Tt=Q.y+le.bottom.y<ot?[\"top\"]:Q.y>this._map.transform.height-ot?[\"bottom\"]:[],Q.x<Xe/2?Tt.push(\"left\"):Q.x>this._map.transform.width-Xe/2&&Tt.push(\"right\"),ee=Tt.length===0?\"bottom\":Tt.join(\"-\")}let qe=Q.add(le[ee]);this.options.subpixelPositioning||(qe=qe.round()),c.setTransform(this._container,`${$l[ee]} translate(${qe.x}px,${qe.y}px)`),Cu(this._container,ee,\"popup\")},this._onClose=()=>{this.remove()},this.options=a.e(Object.create(oo),ue)}addTo(ue){return this._map&&this.remove(),this._map=ue,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._focusFirstElement(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"maplibregl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"maplibregl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new a.k(\"open\")),this}isOpen(){return!!this._map}getLngLat(){return this._lngLat}setLngLat(ue){return this._lngLat=a.N.convert(ue),this._pos=null,this._flatPos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"maplibregl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"maplibregl-track-pointer\")),this}trackPointer(){return this._trackPointer=!0,this._pos=null,this._flatPos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"maplibregl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"maplibregl-track-pointer\")),this}getElement(){return this._container}setText(ue){return this.setDOMContent(document.createTextNode(ue))}setHTML(ue){let w=document.createDocumentFragment(),B=document.createElement(\"body\"),Q;for(B.innerHTML=ue;Q=B.firstChild,Q;)w.appendChild(Q);return this.setDOMContent(w)}getMaxWidth(){var ue;return(ue=this._container)===null||ue===void 0?void 0:ue.style.maxWidth}setMaxWidth(ue){return this.options.maxWidth=ue,this._update(),this}setDOMContent(ue){if(this._content)for(;this._content.hasChildNodes();)this._content.firstChild&&this._content.removeChild(this._content.firstChild);else this._content=c.create(\"div\",\"maplibregl-popup-content\",this._container);return this._content.appendChild(ue),this._createCloseButton(),this._update(),this._focusFirstElement(),this}addClassName(ue){return this._container&&this._container.classList.add(ue),this}removeClassName(ue){return this._container&&this._container.classList.remove(ue),this}setOffset(ue){return this.options.offset=ue,this._update(),this}toggleClassName(ue){if(this._container)return this._container.classList.toggle(ue)}setSubpixelPositioning(ue){this.options.subpixelPositioning=ue}_createCloseButton(){this.options.closeButton&&(this._closeButton=c.create(\"button\",\"maplibregl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))}_focusFirstElement(){if(!this.options.focusAfterOpen||!this._container)return;let ue=this._container.querySelector(Vc);ue&&ue.focus()}},i.RasterDEMTileSource=Zt,i.RasterTileSource=pt,i.ScaleControl=class{constructor(ue){this._onMove=()=>{Ac(this._map,this._container,this.options)},this.setUnit=w=>{this.options.unit=w,Ac(this._map,this._container,this.options)},this.options=Object.assign(Object.assign({},xu),ue)}getDefaultPosition(){return\"bottom-left\"}onAdd(ue){return this._map=ue,this._container=c.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-scale\",ue.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container}onRemove(){c.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0}},i.ScrollZoomHandler=Kr,i.Style=Ha,i.TerrainControl=class{constructor(ue){this._toggleTerrain=()=>{this._map.getTerrain()?this._map.setTerrain(null):this._map.setTerrain(this.options),this._updateTerrainIcon()},this._updateTerrainIcon=()=>{this._terrainButton.classList.remove(\"maplibregl-ctrl-terrain\"),this._terrainButton.classList.remove(\"maplibregl-ctrl-terrain-enabled\"),this._map.terrain?(this._terrainButton.classList.add(\"maplibregl-ctrl-terrain-enabled\"),this._terrainButton.title=this._map._getUIString(\"TerrainControl.Disable\")):(this._terrainButton.classList.add(\"maplibregl-ctrl-terrain\"),this._terrainButton.title=this._map._getUIString(\"TerrainControl.Enable\"))},this.options=ue}onAdd(ue){return this._map=ue,this._container=c.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._terrainButton=c.create(\"button\",\"maplibregl-ctrl-terrain\",this._container),c.create(\"span\",\"maplibregl-ctrl-icon\",this._terrainButton).setAttribute(\"aria-hidden\",\"true\"),this._terrainButton.type=\"button\",this._terrainButton.addEventListener(\"click\",this._toggleTerrain),this._updateTerrainIcon(),this._map.on(\"terrain\",this._updateTerrainIcon),this._container}onRemove(){c.remove(this._container),this._map.off(\"terrain\",this._updateTerrainIcon),this._map=void 0}},i.TwoFingersTouchPitchHandler=Bc,i.TwoFingersTouchRotateHandler=cf,i.TwoFingersTouchZoomHandler=vu,i.TwoFingersTouchZoomRotateHandler=Yi,i.VectorTileSource=ut,i.VideoSource=Nt,i.addSourceType=(ue,w)=>a._(void 0,void 0,void 0,function*(){if(wr(ue))throw new Error(`A source type called \"${ue}\" already exists.`);((B,Q)=>{sr[B]=Q})(ue,w)}),i.clearPrewarmedResources=function(){let ue=me;ue&&(ue.isPreloaded()&&ue.numActive()===1?(ue.release(_e),me=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()\"))},i.getMaxParallelImageRequests=function(){return a.a.MAX_PARALLEL_IMAGE_REQUESTS},i.getRTLTextPluginStatus=function(){return Qt().getRTLTextPluginStatus()},i.getVersion=function(){return Ku},i.getWorkerCount=function(){return Ee.workerCount},i.getWorkerUrl=function(){return a.a.WORKER_URL},i.importScriptInWorkers=function(ue){return Ae().broadcast(\"IS\",ue)},i.prewarm=function(){Se().acquire(_e)},i.setMaxParallelImageRequests=function(ue){a.a.MAX_PARALLEL_IMAGE_REQUESTS=ue},i.setRTLTextPlugin=function(ue,w){return Qt().setRTLTextPlugin(ue,w)},i.setWorkerCount=function(ue){Ee.workerCount=ue},i.setWorkerUrl=function(ue){a.a.WORKER_URL=ue}});var n=e;return n})});var fje=ye((Ebr,cje)=>{\"use strict\";var aw=Dr(),AXt=ru().sanitizeHTML,SXt=SJ(),sje=wx();function lje(e,t){this.subplot=e,this.uid=e.uid+\"-\"+t,this.index=t,this.idSource=\"source-\"+this.uid,this.idLayer=sje.layoutLayerPrefix+this.uid,this.sourceType=null,this.source=null,this.layerType=null,this.below=null,this.visible=!1}var ag=lje.prototype;ag.update=function(t){this.visible?this.needsNewImage(t)?this.updateImage(t):this.needsNewSource(t)?(this.removeLayer(),this.updateSource(t),this.updateLayer(t)):this.needsNewLayer(t)?this.updateLayer(t):this.updateStyle(t):(this.updateSource(t),this.updateLayer(t)),this.visible=c7(t)};ag.needsNewImage=function(e){var t=this.subplot.map;return t.getSource(this.idSource)&&this.sourceType===\"image\"&&e.sourcetype===\"image\"&&(this.source!==e.source||JSON.stringify(this.coordinates)!==JSON.stringify(e.coordinates))};ag.needsNewSource=function(e){return this.sourceType!==e.sourcetype||JSON.stringify(this.source)!==JSON.stringify(e.source)||this.layerType!==e.type};ag.needsNewLayer=function(e){return this.layerType!==e.type||this.below!==this.subplot.belowLookup[\"layout-\"+this.index]};ag.lookupBelow=function(){return this.subplot.belowLookup[\"layout-\"+this.index]};ag.updateImage=function(e){var t=this.subplot.map;t.getSource(this.idSource).updateImage({url:e.source,coordinates:e.coordinates});var r=this.findFollowingMapLayerId(this.lookupBelow());r!==null&&this.subplot.map.moveLayer(this.idLayer,r)};ag.updateSource=function(e){var t=this.subplot.map;if(t.getSource(this.idSource)&&t.removeSource(this.idSource),this.sourceType=e.sourcetype,this.source=e.source,!!c7(e)){var r=MXt(e);t.addSource(this.idSource,r)}};ag.findFollowingMapLayerId=function(e){if(e===\"traces\")for(var t=this.subplot.getMapLayers(),r=0;r<t.length;r++){var n=t[r].id;if(typeof n==\"string\"&&n.indexOf(sje.traceLayerPrefix)===0){e=n;break}}return e};ag.updateLayer=function(e){var t=this.subplot,r=uje(e),n=this.lookupBelow(),i=this.findFollowingMapLayerId(n);this.removeLayer(),c7(e)&&t.addLayer({id:this.idLayer,source:this.idSource,\"source-layer\":e.sourcelayer||\"\",type:e.type,minzoom:e.minzoom,maxzoom:e.maxzoom,layout:r.layout,paint:r.paint},i),this.layerType=e.type,this.below=n};ag.updateStyle=function(e){if(c7(e)){var t=uje(e);this.subplot.setOptions(this.idLayer,\"setLayoutProperty\",t.layout),this.subplot.setOptions(this.idLayer,\"setPaintProperty\",t.paint)}};ag.removeLayer=function(){var e=this.subplot.map;e.getLayer(this.idLayer)&&e.removeLayer(this.idLayer)};ag.dispose=function(){var e=this.subplot.map;e.getLayer(this.idLayer)&&e.removeLayer(this.idLayer),e.getSource(this.idSource)&&e.removeSource(this.idSource)};function c7(e){if(!e.visible)return!1;var t=e.source;if(Array.isArray(t)&&t.length>0){for(var r=0;r<t.length;r++)if(typeof t[r]!=\"string\"||t[r].length===0)return!1;return!0}return aw.isPlainObject(t)||typeof t==\"string\"&&t.length>0}function uje(e){var t={},r={};switch(e.type){case\"circle\":aw.extendFlat(r,{\"circle-radius\":e.circle.radius,\"circle-color\":e.color,\"circle-opacity\":e.opacity});break;case\"line\":aw.extendFlat(r,{\"line-width\":e.line.width,\"line-color\":e.color,\"line-opacity\":e.opacity,\"line-dasharray\":e.line.dash});break;case\"fill\":aw.extendFlat(r,{\"fill-color\":e.color,\"fill-outline-color\":e.fill.outlinecolor,\"fill-opacity\":e.opacity});break;case\"symbol\":var n=e.symbol,i=SXt(n.textposition,n.iconsize);aw.extendFlat(t,{\"icon-image\":n.icon+\"-15\",\"icon-size\":n.iconsize/10,\"text-field\":n.text,\"text-size\":n.textfont.size,\"text-anchor\":i.anchor,\"text-offset\":i.offset,\"symbol-placement\":n.placement}),aw.extendFlat(r,{\"icon-color\":e.color,\"text-color\":n.textfont.color,\"text-opacity\":e.opacity});break;case\"raster\":aw.extendFlat(r,{\"raster-fade-duration\":0,\"raster-opacity\":e.opacity});break}return{layout:t,paint:r}}function MXt(e){var t=e.sourcetype,r=e.source,n={type:t},i;return t===\"geojson\"?i=\"data\":t===\"vector\"?i=typeof r==\"string\"?\"url\":\"tiles\":t===\"raster\"?(i=\"tiles\",n.tileSize=256):t===\"image\"&&(i=\"url\",n.coordinates=e.coordinates),n[i]=r,e.sourceattribution&&(n.attribution=AXt(e.sourceattribution)),n}cje.exports=function(t,r,n){var i=new lje(t,r);return i.update(n),i}});var _je=ye((kbr,yje)=>{\"use strict\";var PJ=oje(),IJ=Dr(),vje=ix(),hje=qa(),EXt=ho(),kXt=yv(),f7=vf(),pje=Eg(),CXt=pje.drawMode,LXt=pje.selectMode,PXt=Of().prepSelect,IXt=Of().clearOutline,RXt=Of().clearSelectionsCache,DXt=Of().selectOnClick,ow=wx(),FXt=fje();function gje(e,t){this.id=t,this.gd=e;var r=e._fullLayout,n=e._context;this.container=r._glcontainer.node(),this.isStatic=n.staticPlot,this.uid=r._uid+\"-\"+this.id,this.div=null,this.xaxis=null,this.yaxis=null,this.createFramework(r),this.map=null,this.styleObj=null,this.traceHash={},this.layerList=[],this.belowLookup={},this.dragging=!1,this.wheeling=!1}var Uh=gje.prototype;Uh.plot=function(e,t,r){var n=this,i;n.map?i=new Promise(function(a,o){n.updateMap(e,t,a,o)}):i=new Promise(function(a,o){n.createMap(e,t,a,o)}),r.push(i)};Uh.createMap=function(e,t,r,n){var i=this,a=t[i.id],o=i.styleObj=mje(a.style),s=a.bounds,l=s?[[s.west,s.south],[s.east,s.north]]:null,u=i.map=new PJ.Map({container:i.div,style:o.style,center:RJ(a.center),zoom:a.zoom,bearing:a.bearing,pitch:a.pitch,maxBounds:l,interactive:!i.isStatic,preserveDrawingBuffer:i.isStatic,doubleClickZoom:!1,boxZoom:!1,attributionControl:!1}).addControl(new PJ.AttributionControl({compact:!0})),c={};u.on(\"styleimagemissing\",function(h){var d=h.id;if(!c[d]&&d.includes(\"-15\")){c[d]=!0;var v=new Image(15,15);v.onload=function(){u.addImage(d,v)},v.crossOrigin=\"Anonymous\",v.src=\"https://unpkg.com/maki@2.1.0/icons/\"+d+\".svg\"}}),u.setTransformRequest(function(h){return h=h.replace(\"https://fonts.openmaptiles.org/Open Sans Extrabold\",\"https://fonts.openmaptiles.org/Open Sans Extra Bold\"),h=h.replace(\"https://tiles.basemaps.cartocdn.com/fonts/Open Sans Extrabold\",\"https://fonts.openmaptiles.org/Open Sans Extra Bold\"),h=h.replace(\"https://fonts.openmaptiles.org/Open Sans Regular,Arial Unicode MS Regular\",\"https://fonts.openmaptiles.org/Klokantech Noto Sans Regular\"),{url:h}}),u._canvas.style.left=\"0px\",u._canvas.style.top=\"0px\",i.rejectOnError(n),i.isStatic||i.initFx(e,t);var f=[];f.push(new Promise(function(h){u.once(\"load\",h)})),f=f.concat(vje.fetchTraceGeoData(e)),Promise.all(f).then(function(){i.fillBelowLookup(e,t),i.updateData(e),i.updateLayout(t),i.resolveOnRender(r)}).catch(n)};Uh.updateMap=function(e,t,r,n){var i=this,a=i.map,o=t[this.id];i.rejectOnError(n);var s=[],l=mje(o.style);JSON.stringify(i.styleObj)!==JSON.stringify(l)&&(i.styleObj=l,a.setStyle(l.style),i.traceHash={},s.push(new Promise(function(u){a.once(\"styledata\",u)}))),s=s.concat(vje.fetchTraceGeoData(e)),Promise.all(s).then(function(){i.fillBelowLookup(e,t),i.updateData(e),i.updateLayout(t),i.resolveOnRender(r)}).catch(n)};Uh.fillBelowLookup=function(e,t){var r=t[this.id],n=r.layers,i,a,o=this.belowLookup={},s=!1;for(i=0;i<e.length;i++){var l=e[i][0].trace,u=l._module;typeof l.below==\"string\"?a=l.below:u.getBelow&&(a=u.getBelow(l,this)),a===\"\"&&(s=!0),o[\"trace-\"+l.uid]=a||\"\"}for(i=0;i<n.length;i++){var c=n[i];typeof c.below==\"string\"?a=c.below:s?a=\"traces\":a=\"\",o[\"layout-\"+i]=a}var f={},h,d;for(h in o)a=o[h],f[a]?f[a].push(h):f[a]=[h];for(a in f){var v=f[a];if(v.length>1)for(i=0;i<v.length;i++)h=v[i],h.indexOf(\"trace-\")===0?(d=h.split(\"trace-\")[1],this.traceHash[d]&&(this.traceHash[d].below=null)):h.indexOf(\"layout-\")===0&&(d=h.split(\"layout-\")[1],this.layerList[d]&&(this.layerList[d].below=null))}};var dje={choroplethmap:0,densitymap:1,scattermap:2};Uh.updateData=function(e){var t=this.traceHash,r,n,i,a,o=e.slice().sort(function(f,h){return dje[f[0].trace.type]-dje[h[0].trace.type]});for(i=0;i<o.length;i++){var s=o[i];n=s[0].trace,r=t[n.uid];var l=!1;r&&(r.type===n.type?(r.update(s),l=!0):r.dispose()),!l&&n._module&&(t[n.uid]=n._module.plot(this,s))}var u=Object.keys(t);e:for(i=0;i<u.length;i++){var c=u[i];for(a=0;a<e.length;a++)if(n=e[a][0].trace,c===n.uid)continue e;r=t[c],r.dispose(),delete t[c]}};Uh.updateLayout=function(e){var t=this.map,r=e[this.id];!this.dragging&&!this.wheeling&&(t.setCenter(RJ(r.center)),t.setZoom(r.zoom),t.setBearing(r.bearing),t.setPitch(r.pitch)),this.updateLayers(e),this.updateFramework(e),this.updateFx(e),this.map.resize(),this.gd._context._scrollZoom.map?t.scrollZoom.enable():t.scrollZoom.disable()};Uh.resolveOnRender=function(e){var t=this.map;t.on(\"render\",function r(){t.loaded()&&(t.off(\"render\",r),setTimeout(e,10))})};Uh.rejectOnError=function(e){var t=this.map;function r(){e(new Error(ow.mapOnErrorMsg))}t.once(\"error\",r),t.once(\"style.error\",r),t.once(\"source.error\",r),t.once(\"tile.error\",r),t.once(\"layer.error\",r)};Uh.createFramework=function(e){var t=this,r=t.div=document.createElement(\"div\");r.id=t.uid,r.style.position=\"absolute\",t.container.appendChild(r),t.xaxis={_id:\"x\",c2p:function(n){return t.project(n).x}},t.yaxis={_id:\"y\",c2p:function(n){return t.project(n).y}},t.updateFramework(e),t.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},EXt.setConvert(t.mockAxis,e)};Uh.initFx=function(e,t){var r=this,n=r.gd,i=r.map;i.on(\"moveend\",function(s){if(r.map){var l=n._fullLayout;if(s.originalEvent||r.wheeling){var u=l[r.id];hje.call(\"_storeDirectGUIEdit\",n.layout,l._preGUI,r.getViewEdits(u));var c=r.getView();u._input.center=u.center=c.center,u._input.zoom=u.zoom=c.zoom,u._input.bearing=u.bearing=c.bearing,u._input.pitch=u.pitch=c.pitch,n.emit(\"plotly_relayout\",r.getViewEditsWithDerived(c))}s.originalEvent&&s.originalEvent.type===\"mouseup\"?r.dragging=!1:r.wheeling&&(r.wheeling=!1),l&&l._rehover&&l._rehover()}}),i.on(\"wheel\",function(){r.wheeling=!0}),i.on(\"mousemove\",function(s){var l=r.div.getBoundingClientRect(),u=[s.originalEvent.offsetX,s.originalEvent.offsetY];s.target.getBoundingClientRect=function(){return l},r.xaxis.p2c=function(){return i.unproject(u).lng},r.yaxis.p2c=function(){return i.unproject(u).lat},n._fullLayout._rehover=function(){n._fullLayout._hoversubplot===r.id&&n._fullLayout[r.id]&&f7.hover(n,s,r.id)},f7.hover(n,s,r.id),n._fullLayout._hoversubplot=r.id});function a(){f7.loneUnhover(t._hoverlayer)}i.on(\"dragstart\",function(){r.dragging=!0,a()}),i.on(\"zoomstart\",a),i.on(\"mouseout\",function(){n._fullLayout._hoversubplot=null});function o(){var s=r.getView();n.emit(\"plotly_relayouting\",r.getViewEditsWithDerived(s))}i.on(\"drag\",o),i.on(\"zoom\",o),i.on(\"dblclick\",function(){var s=n._fullLayout[r.id];hje.call(\"_storeDirectGUIEdit\",n.layout,n._fullLayout._preGUI,r.getViewEdits(s));var l=r.viewInitial;i.setCenter(RJ(l.center)),i.setZoom(l.zoom),i.setBearing(l.bearing),i.setPitch(l.pitch);var u=r.getView();s._input.center=s.center=u.center,s._input.zoom=s.zoom=u.zoom,s._input.bearing=s.bearing=u.bearing,s._input.pitch=s.pitch=u.pitch,n.emit(\"plotly_doubleclick\",null),n.emit(\"plotly_relayout\",r.getViewEditsWithDerived(u))}),r.clearOutline=function(){RXt(r.dragOptions),IXt(r.dragOptions.gd)},r.onClickInPanFn=function(s){return function(l){var u=n._fullLayout.clickmode;u.indexOf(\"select\")>-1&&DXt(l.originalEvent,n,[r.xaxis],[r.yaxis],r.id,s),u.indexOf(\"event\")>-1&&f7.click(n,l.originalEvent)}}};Uh.updateFx=function(e){var t=this,r=t.map,n=t.gd;if(t.isStatic)return;function i(l){var u=t.map.unproject(l);return[u.lng,u.lat]}var a=e.dragmode,o;o=function(l,u){if(u.isRect){var c=l.range={};c[t.id]=[i([u.xmin,u.ymin]),i([u.xmax,u.ymax])]}else{var f=l.lassoPoints={};f[t.id]=u.map(i)}};var s=t.dragOptions;t.dragOptions=IJ.extendDeep(s||{},{dragmode:e.dragmode,element:t.div,gd:n,plotinfo:{id:t.id,domain:e[t.id].domain,xaxis:t.xaxis,yaxis:t.yaxis,fillRangeItems:o},xaxes:[t.xaxis],yaxes:[t.yaxis],subplot:t.id}),r.off(\"click\",t.onClickInPanHandler),LXt(a)||CXt(a)?(r.dragPan.disable(),r.on(\"zoomstart\",t.clearOutline),t.dragOptions.prepFn=function(l,u,c){PXt(l,u,c,t.dragOptions,a)},kXt.init(t.dragOptions)):(r.dragPan.enable(),r.off(\"zoomstart\",t.clearOutline),t.div.onmousedown=null,t.div.ontouchstart=null,t.div.removeEventListener(\"touchstart\",t.div._ontouchstart),t.onClickInPanHandler=t.onClickInPanFn(t.dragOptions),r.on(\"click\",t.onClickInPanHandler))};Uh.updateFramework=function(e){var t=e[this.id].domain,r=e._size,n=this.div.style;n.width=r.w*(t.x[1]-t.x[0])+\"px\",n.height=r.h*(t.y[1]-t.y[0])+\"px\",n.left=r.l+t.x[0]*r.w+\"px\",n.top=r.t+(1-t.y[1])*r.h+\"px\",this.xaxis._offset=r.l+t.x[0]*r.w,this.xaxis._length=r.w*(t.x[1]-t.x[0]),this.yaxis._offset=r.t+(1-t.y[1])*r.h,this.yaxis._length=r.h*(t.y[1]-t.y[0])};Uh.updateLayers=function(e){var t=e[this.id],r=t.layers,n=this.layerList,i;if(r.length!==n.length){for(i=0;i<n.length;i++)n[i].dispose();for(n=this.layerList=[],i=0;i<r.length;i++)n.push(FXt(this,i,r[i]))}else for(i=0;i<r.length;i++)n[i].update(r[i])};Uh.destroy=function(){this.map&&(this.map.remove(),this.map=null,this.container.removeChild(this.div))};Uh.toImage=function(){return this.map.stop(),this.map.getCanvas().toDataURL()};Uh.setOptions=function(e,t,r){for(var n in r)this.map[t](e,n,r[n])};Uh.getMapLayers=function(){return this.map.getStyle().layers};Uh.addLayer=function(e,t){var r=this.map;if(typeof t==\"string\"){if(t===\"\"){r.addLayer(e,t);return}for(var n=this.getMapLayers(),i=0;i<n.length;i++)if(t===n[i].id){r.addLayer(e,t);return}IJ.warn([\"Trying to add layer with *below* value\",t,\"referencing a layer that does not exist\",\"or that does not yet exist.\"].join(\" \"))}r.addLayer(e)};Uh.project=function(e){return this.map.project(new PJ.LngLat(e[0],e[1]))};Uh.getView=function(){var e=this.map,t=e.getCenter(),r=t.lng,n=t.lat,i={lon:r,lat:n},a=e.getCanvas(),o=parseInt(a.style.width),s=parseInt(a.style.height);return{center:i,zoom:e.getZoom(),bearing:e.getBearing(),pitch:e.getPitch(),_derived:{coordinates:[e.unproject([0,0]).toArray(),e.unproject([o,0]).toArray(),e.unproject([o,s]).toArray(),e.unproject([0,s]).toArray()]}}};Uh.getViewEdits=function(e){for(var t=this.id,r=[\"center\",\"zoom\",\"bearing\",\"pitch\"],n={},i=0;i<r.length;i++){var a=r[i];n[t+\".\"+a]=e[a]}return n};Uh.getViewEditsWithDerived=function(e){var t=this.id,r=this.getViewEdits(e);return r[t+\"._derived\"]=e._derived,r};function mje(e){var t={};return IJ.isPlainObject(e)?(t.id=e.id,t.style=e):typeof e==\"string\"?(t.id=e,ow.stylesMap[e]?t.style=ow.stylesMap[e]:t.style=e):(t.id=ow.styleValueDflt,t.style=zXt(ow.styleValueDflt)),t.transition={duration:0,delay:0},t}function zXt(e){return ow.styleUrlPrefix+e+\"-\"+ow.styleUrlSuffix}function RJ(e){return[e.lon,e.lat]}yje.exports=gje});var wje=ye((Cbr,bje)=>{\"use strict\";var DJ=Dr(),OXt=k_(),qXt=Yd(),xje=jk();bje.exports=function(t,r,n){OXt(t,r,n,{type:\"map\",attributes:xje,handleDefaults:BXt,partition:\"y\"})};function BXt(e,t,r){r(\"style\"),r(\"center.lon\"),r(\"center.lat\"),r(\"zoom\"),r(\"bearing\"),r(\"pitch\");var n=r(\"bounds.west\"),i=r(\"bounds.east\"),a=r(\"bounds.south\"),o=r(\"bounds.north\");(n===void 0||i===void 0||a===void 0||o===void 0)&&delete t.bounds,qXt(e,t,{name:\"layers\",handleItemDefaults:NXt}),t._input=e}function NXt(e,t){function r(l,u){return DJ.coerce(e,t,xje.layers,l,u)}var n=r(\"visible\");if(n){var i=r(\"sourcetype\"),a=i===\"raster\"||i===\"image\";r(\"source\"),r(\"sourceattribution\"),i===\"vector\"&&r(\"sourcelayer\"),i===\"image\"&&r(\"coordinates\");var o;a&&(o=\"raster\");var s=r(\"type\",o);a&&s!==\"raster\"&&(s=t.type=\"raster\",DJ.log(\"Source types *raster* and *image* must drawn *raster* layer type.\")),r(\"below\"),r(\"color\"),r(\"opacity\"),r(\"minzoom\"),r(\"maxzoom\"),s===\"circle\"&&r(\"circle.radius\"),s===\"line\"&&(r(\"line.width\"),r(\"line.dash\")),s===\"fill\"&&r(\"fill.outlinecolor\"),s===\"symbol\"&&(r(\"symbol.icon\"),r(\"symbol.iconsize\"),r(\"symbol.text\"),DJ.coerceFont(r,\"symbol.textfont\",void 0,{noFontVariant:!0,noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0}),r(\"symbol.textposition\"),r(\"symbol.placement\"))}}});var d7=ye(l0=>{\"use strict\";var h7=Dr(),Tje=h7.strTranslate,UXt=h7.strScale,VXt=Id().getSubplotCalcData,GXt=Wp(),HXt=Oa(),Aje=So(),jXt=ru(),WXt=_je(),Tx=\"map\";l0.name=Tx;l0.attr=\"subplot\";l0.idRoot=Tx;l0.idRegex=l0.attrRegex=h7.counterRegex(Tx);l0.attributes={subplot:{valType:\"subplotid\",dflt:\"map\",editType:\"calc\"}};l0.layoutAttributes=jk();l0.supplyLayoutDefaults=wje();l0.plot=function(t){for(var r=t._fullLayout,n=t.calcdata,i=r._subplots[Tx],a=0;a<i.length;a++){var o=i[a],s=VXt(n,Tx,o),l=r[o],u=l._subplot;u||(u=new WXt(t,o),r[o]._subplot=u),u.viewInitial||(u.viewInitial={center:h7.extendFlat({},l.center),zoom:l.zoom,bearing:l.bearing,pitch:l.pitch}),u.plot(s,r,t._promises)}};l0.clean=function(e,t,r,n){for(var i=n._subplots[Tx]||[],a=0;a<i.length;a++){var o=i[a];!t[o]&&n[o]._subplot&&n[o]._subplot.destroy()}};l0.toSVG=function(e){for(var t=e._fullLayout,r=t._subplots[Tx],n=t._size,i=0;i<r.length;i++){var a=t[r[i]],o=a.domain,s=a._subplot,l=s.toImage(\"png\"),u=t._glimages.append(\"svg:image\");u.attr({xmlns:GXt.svg,\"xlink:href\":l,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\"});var c=HXt.select(a._subplot.div),f=c.select(\".maplibregl-ctrl-attrib\").text().replace(\"Improve this map\",\"\"),h=t._glimages.append(\"g\"),d=h.append(\"text\");d.text(f).classed(\"static-attribution\",!0).attr({\"font-size\":12,\"font-family\":\"Arial\",color:\"rgba(0, 0, 0, 0.75)\",\"text-anchor\":\"end\",\"data-unformatted\":f});var v=Aje.bBox(d.node()),_=n.w*(o.x[1]-o.x[0]);if(v.width>_/2){var b=f.split(\"|\").join(\"<br>\");d.text(b).attr(\"data-unformatted\",b).call(jXt.convertToTspans,e),v=Aje.bBox(d.node())}d.attr(\"transform\",Tje(-3,-v.height+8)),h.insert(\"rect\",\".static-attribution\").attr({x:-v.width-6,y:-v.height-3,width:v.width+6,height:v.height+3,fill:\"rgba(255, 255, 255, 0.75)\"});var p=1;v.width+6>_&&(p=_/(v.width+6));var k=[n.l+n.w*o.x[1],n.t+n.h*(1-o.y[0])];h.attr(\"transform\",Tje(k[0],k[1])+UXt(p))}};l0.updateFx=function(e){for(var t=e._fullLayout,r=t._subplots[Tx],n=0;n<r.length;n++){var i=t[r[n]]._subplot;i.updateFx(t)}}});var Mje=ye((Pbr,Sje)=>{\"use strict\";Sje.exports={attributes:n7(),supplyDefaults:qHe(),colorbar:$d(),formatLabels:AJ(),calc:pF(),plot:$He(),hoverPoints:u7().hoverPoints,eventData:rje(),selectPoints:nje(),styleOnSelect:function(e,t){if(t){var r=t[0].trace;r._glTrace.update(t)}},moduleType:\"trace\",name:\"scattermap\",basePlotModule:d7(),categories:[\"map\",\"gl\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}});var kje=ye((Ibr,Eje)=>{\"use strict\";Eje.exports=Mje()});var FJ=ye((Rbr,Cje)=>{\"use strict\";var d1=t5(),XXt=Tu(),{hovertemplateAttrs:ZXt,templatefallbackAttrs:YXt}=Ll(),KXt=Gl(),Ax=Ao().extendFlat;Cje.exports=Ax({locations:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},geojson:{valType:\"any\",editType:\"calc\"},featureidkey:Ax({},d1.featureidkey,{}),below:{valType:\"string\",editType:\"plot\"},text:d1.text,hovertext:d1.hovertext,marker:{line:{color:Ax({},d1.marker.line.color,{editType:\"plot\"}),width:Ax({},d1.marker.line.width,{editType:\"plot\"}),editType:\"calc\"},opacity:Ax({},d1.marker.opacity,{editType:\"plot\"}),editType:\"calc\"},selected:{marker:{opacity:Ax({},d1.selected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},unselected:{marker:{opacity:Ax({},d1.unselected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},hoverinfo:d1.hoverinfo,hovertemplate:ZXt({},{keys:[\"properties\"]}),hovertemplatefallback:YXt(),showlegend:Ax({},KXt.showlegend,{dflt:!1})},XXt(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))});var Pje=ye((Dbr,Lje)=>{\"use strict\";var Yk=Dr(),JXt=Qh(),$Xt=FJ();Lje.exports=function(t,r,n,i){function a(c,f){return Yk.coerce(t,r,$Xt,c,f)}var o=a(\"locations\"),s=a(\"z\"),l=a(\"geojson\");if(!Yk.isArrayOrTypedArray(o)||!o.length||!Yk.isArrayOrTypedArray(s)||!s.length||!(typeof l==\"string\"&&l!==\"\"||Yk.isPlainObject(l))){r.visible=!1;return}a(\"featureidkey\"),r._length=Math.min(o.length,s.length),a(\"below\"),a(\"text\"),a(\"hovertext\"),a(\"hovertemplate\"),a(\"hovertemplatefallback\");var u=a(\"marker.line.width\");u&&a(\"marker.line.color\"),a(\"marker.opacity\"),JXt(t,r,i,a,{prefix:\"\",cLetter:\"z\"}),Yk.coerceSelectionMarkerOpacity(r,a)}});var zJ=ye((Fbr,Dje)=>{\"use strict\";var QXt=Eo(),v1=Dr(),eZt=tc(),tZt=So(),rZt=tx().makeBlank,Ije=ix();function iZt(e){var t=e[0].trace,r=t.visible===!0&&t._length!==0,n={layout:{visibility:\"none\"},paint:{}},i={layout:{visibility:\"none\"},paint:{}},a=t._opts={fill:n,line:i,geojson:rZt()};if(!r)return a;var o=Ije.extractTraceFeature(e);if(!o)return a;var s=eZt.makeColorScaleFuncFromTrace(t),l=t.marker,u=l.line||{},c;v1.isArrayOrTypedArray(l.opacity)&&(c=function(k){var E=k.mo;return QXt(E)?+v1.constrain(E,0,1):0});var f;v1.isArrayOrTypedArray(u.color)&&(f=function(k){return k.mlc});var h;v1.isArrayOrTypedArray(u.width)&&(h=function(k){return k.mlw});for(var d=0;d<e.length;d++){var v=e[d],_=v.fOut;if(_){var b=_.properties;b.fc=s(v.z),c&&(b.mo=c(v)),f&&(b.mlc=f(v)),h&&(b.mlw=h(v)),v.ct=b.ct,v._polygons=Ije.feature2polygons(_)}}var p=c?{type:\"identity\",property:\"mo\"}:l.opacity;return v1.extendFlat(n.paint,{\"fill-color\":{type:\"identity\",property:\"fc\"},\"fill-opacity\":p}),v1.extendFlat(i.paint,{\"line-color\":f?{type:\"identity\",property:\"mlc\"}:u.color,\"line-width\":h?{type:\"identity\",property:\"mlw\"}:u.width,\"line-opacity\":p}),n.layout.visibility=\"visible\",i.layout.visibility=\"visible\",a.geojson={type:\"FeatureCollection\",features:o},Rje(e),a}function Rje(e){var t=e[0].trace,r=t._opts,n;if(t.selectedpoints){for(var i=tZt.makeSelectedPointStyleFns(t),a=0;a<e.length;a++){var o=e[a];o.fOut&&(o.fOut.properties.mo2=i.selectedOpacityFn(o))}n={type:\"identity\",property:\"mo2\"}}else n=v1.isArrayOrTypedArray(t.marker.opacity)?{type:\"identity\",property:\"mo\"}:t.marker.opacity;return v1.extendFlat(r.fill.paint,{\"fill-opacity\":n}),v1.extendFlat(r.line.paint,{\"line-opacity\":n}),r}Dje.exports={convert:iZt,convertOnSelect:Rje}});var Bje=ye((zbr,qje)=>{\"use strict\";var zje=zJ().convert,nZt=zJ().convertOnSelect,Fje=wx().traceLayerPrefix;function Oje(e,t){this.type=\"choroplethmap\",this.subplot=e,this.uid=t,this.sourceId=\"source-\"+t,this.layerList=[[\"fill\",Fje+t+\"-fill\"],[\"line\",Fje+t+\"-line\"]],this.below=null}var L5=Oje.prototype;L5.update=function(e){this._update(zje(e)),e[0].trace._glTrace=this};L5.updateOnSelect=function(e){this._update(nZt(e))};L5._update=function(e){var t=this.subplot,r=this.layerList,n=t.belowLookup[\"trace-\"+this.uid];t.map.getSource(this.sourceId).setData(e.geojson),n!==this.below&&(this._removeLayers(),this._addLayers(e,n),this.below=n);for(var i=0;i<r.length;i++){var a=r[i],o=a[0],s=a[1],l=e[o];t.setOptions(s,\"setLayoutProperty\",l.layout),l.layout.visibility===\"visible\"&&t.setOptions(s,\"setPaintProperty\",l.paint)}};L5._addLayers=function(e,t){for(var r=this.subplot,n=this.layerList,i=this.sourceId,a=0;a<n.length;a++){var o=n[a],s=o[0],l=e[s];r.addLayer({type:s,id:o[1],source:i,layout:l.layout,paint:l.paint},t)}};L5._removeLayers=function(){for(var e=this.subplot.map,t=this.layerList,r=t.length-1;r>=0;r--)e.removeLayer(t[r][1])};L5.dispose=function(){var e=this.subplot.map;this._removeLayers(),e.removeSource(this.sourceId)};qje.exports=function(t,r){var n=r[0].trace,i=new Oje(t,n.uid),a=i.sourceId,o=zje(r),s=i.below=t.belowLookup[\"trace-\"+n.uid];return 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aZt=Tu(),{hovertemplateAttrs:oZt,templatefallbackAttrs:sZt}=Ll(),Hje=Gl(),v7=n7(),OJ=Ao().extendFlat;jje.exports=OJ({lon:v7.lon,lat:v7.lat,z:{valType:\"data_array\",editType:\"calc\"},radius:{valType:\"number\",editType:\"plot\",arrayOk:!0,min:1,dflt:30},below:{valType:\"string\",editType:\"plot\"},text:v7.text,hovertext:v7.hovertext,hoverinfo:OJ({},Hje.hoverinfo,{flags:[\"lon\",\"lat\",\"z\",\"text\",\"name\"]}),hovertemplate:oZt(),hovertemplatefallback:sZt(),showlegend:OJ({},Hje.showlegend,{dflt:!1})},aZt(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))});var Xje=ye((Nbr,Wje)=>{\"use strict\";var lZt=Dr(),uZt=Qh(),cZt=qJ();Wje.exports=function(t,r,n,i){function a(u,c){return lZt.coerce(t,r,cZt,u,c)}var o=a(\"lon\")||[],s=a(\"lat\")||[],l=Math.min(o.length,s.length);if(!l){r.visible=!1;return}r._length=l,a(\"z\"),a(\"radius\"),a(\"below\"),a(\"text\"),a(\"hovertext\"),a(\"hovertemplate\"),a(\"hovertemplatefallback\"),uZt(t,r,i,a,{prefix:\"\",cLetter:\"z\"})}});var Kje=ye((Ubr,Yje)=>{\"use strict\";var BJ=Eo(),fZt=Dr().isArrayOrTypedArray,NJ=fs().BADNUM,hZt=gv(),Zje=Dr()._;Yje.exports=function(t,r){for(var n=r._length,i=new Array(n),a=r.z,o=fZt(a)&&a.length,s=0;s<n;s++){var l=i[s]={},u=r.lon[s],c=r.lat[s];if(l.lonlat=BJ(u)&&BJ(c)?[+u,+c]:[NJ,NJ],o){var f=a[s];l.z=BJ(f)?f:NJ}}return hZt(t,r,{vals:o?a:[0,1],containerStr:\"\",cLetter:\"z\"}),n&&(i[0].t={labels:{lat:Zje(t,\"lat:\")+\" \",lon:Zje(t,\"lon:\")+\" \"}}),i}});var tWe=ye((Vbr,eWe)=>{\"use strict\";var dZt=Eo(),UJ=Dr(),Jje=ka(),$je=tc(),Qje=fs().BADNUM,vZt=tx().makeBlank;eWe.exports=function(t){var r=t[0].trace,n=r.visible===!0&&r._length!==0,i={layout:{visibility:\"none\"},paint:{}},a=r._opts={heatmap:i,geojson:vZt()};if(!n)return a;var o=[],s,l=r.z,u=r.radius,c=UJ.isArrayOrTypedArray(l)&&l.length,f=UJ.isArrayOrTypedArray(u);for(s=0;s<t.length;s++){var h=t[s],d=h.lonlat;if(d[0]!==Qje){var v={};if(c){var 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p7=iWe.prototype;p7.update=function(e){var t=this.subplot,r=this.layerList,n=rWe(e),i=t.belowLookup[\"trace-\"+this.uid];t.map.getSource(this.sourceId).setData(n.geojson),i!==this.below&&(this._removeLayers(),this._addLayers(n,i),this.below=i);for(var a=0;a<r.length;a++){var o=r[a],s=o[0],l=o[1],u=n[s];t.setOptions(l,\"setLayoutProperty\",u.layout),u.layout.visibility===\"visible\"&&t.setOptions(l,\"setPaintProperty\",u.paint)}};p7._addLayers=function(e,t){for(var r=this.subplot,n=this.layerList,i=this.sourceId,a=0;a<n.length;a++){var o=n[a],s=o[0],l=e[s];r.addLayer({type:s,id:o[1],source:i,layout:l.layout,paint:l.paint},t)}};p7._removeLayers=function(){for(var e=this.subplot.map,t=this.layerList,r=t.length-1;r>=0;r--)e.removeLayer(t[r][1])};p7.dispose=function(){var e=this.subplot.map;this._removeLayers(),e.removeSource(this.sourceId)};nWe.exports=function(t,r){var n=r[0].trace,i=new iWe(t,n.uid),a=i.sourceId,o=rWe(r),s=i.below=t.belowLookup[\"trace-\"+n.uid];return t.map.addSource(a,{type:\"geojson\",data:o.geojson}),i._addLayers(o,s),i}});var sWe=ye((Hbr,oWe)=>{\"use strict\";var gZt=ho(),mZt=u7().hoverPoints,yZt=u7().getExtraText;oWe.exports=function(t,r,n){var i=mZt(t,r,n);if(i){var a=i[0],o=a.cd,s=o[0].trace,l=o[a.index];if(delete a.color,\"z\"in l){var u=a.subplot.mockAxis;a.z=l.z,a.zLabel=gZt.tickText(u,u.c2l(l.z),\"hover\").text}return a.extraText=yZt(s,l,o[0].t.labels),[a]}}});var uWe=ye((jbr,lWe)=>{\"use strict\";lWe.exports=function(t,r){return t.lon=r.lon,t.lat=r.lat,t.z=r.z,t}});var fWe=ye((Wbr,cWe)=>{\"use strict\";cWe.exports={attributes:qJ(),supplyDefaults:Xje(),colorbar:S_(),formatLabels:AJ(),calc:Kje(),plot:aWe(),hoverPoints:sWe(),eventData:uWe(),getBelow:function(e,t){for(var r=t.getMapLayers(),n=0;n<r.length;n++){var i=r[n],a=i.id;if(i.type===\"symbol\"&&typeof a==\"string\"&&a.indexOf(\"plotly-\")===-1)return a}},moduleType:\"trace\",name:\"densitymap\",basePlotModule:d7(),categories:[\"map\",\"gl\",\"showLegend\"],meta:{hr_name:\"density_map\"}}});var dWe=ye((Xbr,hWe)=>{\"use strict\";hWe.exports=fWe()});var GJ=ye((Ybr,yWe)=>{\"use strict\";var _Zt=ec(),xZt=Gl(),vWe=Lh(),VJ=a3(),bZt=Cc().attributes,{hovertemplateAttrs:pWe,templatefallbackAttrs:gWe}=Ll(),wZt=Tu(),TZt=vl().templatedArray,AZt=df().descriptionOnlyNumbers,mWe=Ao().extendFlat,SZt=mc().overrideAll,Zbr=yWe.exports=SZt({hoverinfo:mWe({},xZt.hoverinfo,{flags:[],arrayOk:!1}),hoverlabel:VJ.hoverlabel,domain:bZt({name:\"sankey\",trace:!0}),orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"h\"},valueformat:{valType:\"string\",dflt:\".3s\",description:AZt(\"value\")},valuesuffix:{valType:\"string\",dflt:\"\"},arrangement:{valType:\"enumerated\",values:[\"snap\",\"perpendicular\",\"freeform\",\"fixed\"],dflt:\"snap\"},textfont:_Zt({autoShadowDflt:!0}),customdata:void 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3:this._point=4;default:lr(this,Mt,kr);break}this._x0=this._x1,this._x1=Mt,this._y0=this._y1,this._y1=kr}};function dt(Mt){return new Vr(Mt)}function Ge(Mt,kr){this._basis=new Tr(Mt),this._beta=kr}Ge.prototype={lineStart:function(){this._x=[],this._y=[],this._basis.lineStart()},lineEnd:function(){var Mt=this._x,kr=this._y,Jr=Mt.length-1;if(Jr>0)for(var vi=Mt[0],hn=kr[0],An=Mt[Jr]-vi,Mn=kr[Jr]-hn,Li=-1,_n;++Li<=Jr;)_n=Li/Jr,this._basis.point(this._beta*Mt[Li]+(1-this._beta)*(vi+_n*An),this._beta*kr[Li]+(1-this._beta)*(hn+_n*Mn));this._x=this._y=null,this._basis.lineEnd()},point:function(Mt,kr){this._x.push(+Mt),this._y.push(+kr)}};var Je=function Mt(kr){function Jr(vi){return kr===1?new Tr(vi):new Ge(vi,kr)}return Jr.beta=function(vi){return Mt(+vi)},Jr}(.85);function je(Mt,kr,Jr){Mt._context.bezierCurveTo(Mt._x1+Mt._k*(Mt._x2-Mt._x0),Mt._y1+Mt._k*(Mt._y2-Mt._y0),Mt._x2+Mt._k*(Mt._x1-kr),Mt._y2+Mt._k*(Mt._y1-Jr),Mt._x2,Mt._y2)}function tt(Mt,kr){this._context=Mt,this._k=(1-kr)/6}tt.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x0=this._x1=this._x2=this._y0=this._y1=this._y2=NaN,this._point=0},lineEnd:function(){switch(this._point){case 2:this._context.lineTo(this._x2,this._y2);break;case 3:je(this,this._x1,this._y1);break}(this._line||this._line!==0&&this._point===1)&&this._context.closePath(),this._line=1-this._line},point:function(Mt,kr){switch(Mt=+Mt,kr=+kr,this._point){case 0:this._point=1,this._line?this._context.lineTo(Mt,kr):this._context.moveTo(Mt,kr);break;case 1:this._point=2,this._x1=Mt,this._y1=kr;break;case 2:this._point=3;default:je(this,Mt,kr);break}this._x0=this._x1,this._x1=this._x2,this._x2=Mt,this._y0=this._y1,this._y1=this._y2,this._y2=kr}};var xt=function Mt(kr){function Jr(vi){return new tt(vi,kr)}return Jr.tension=function(vi){return Mt(+vi)},Jr}(0);function Ie(Mt,kr){this._context=Mt,this._k=(1-kr)/6}Ie.prototype={areaStart:er,areaEnd:er,lineStart:function(){this._x0=this._x1=this._x2=this._x3=this._x4=this._x5=this._y0=this._y1=this._y2=this._y3=this._y4=this._y5=NaN,this._point=0},lineEnd:function(){switch(this._point){case 1:{this._context.moveTo(this._x3,this._y3),this._context.closePath();break}case 2:{this._context.lineTo(this._x3,this._y3),this._context.closePath();break}case 3:{this.point(this._x3,this._y3),this.point(this._x4,this._y4),this.point(this._x5,this._y5);break}}},point:function(Mt,kr){switch(Mt=+Mt,kr=+kr,this._point){case 0:this._point=1,this._x3=Mt,this._y3=kr;break;case 1:this._point=2,this._context.moveTo(this._x4=Mt,this._y4=kr);break;case 2:this._point=3,this._x5=Mt,this._y5=kr;break;default:je(this,Mt,kr);break}this._x0=this._x1,this._x1=this._x2,this._x2=Mt,this._y0=this._y1,this._y1=this._y2,this._y2=kr}};var xe=function Mt(kr){function Jr(vi){return new Ie(vi,kr)}return Jr.tension=function(vi){return Mt(+vi)},Jr}(0);function ke(Mt,kr){this._context=Mt,this._k=(1-kr)/6}ke.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x0=this._x1=this._x2=this._y0=this._y1=this._y2=NaN,this._point=0},lineEnd:function(){(this._line||this._line!==0&&this._point===3)&&this._context.closePath(),this._line=1-this._line},point:function(Mt,kr){switch(Mt=+Mt,kr=+kr,this._point){case 0:this._point=1;break;case 1:this._point=2;break;case 2:this._point=3,this._line?this._context.lineTo(this._x2,this._y2):this._context.moveTo(this._x2,this._y2);break;case 3:this._point=4;default:je(this,Mt,kr);break}this._x0=this._x1,this._x1=this._x2,this._x2=Mt,this._y0=this._y1,this._y1=this._y2,this._y2=kr}};var vt=function Mt(kr){function Jr(vi){return new ke(vi,kr)}return Jr.tension=function(vi){return Mt(+vi)},Jr}(0);function ir(Mt,kr,Jr){var vi=Mt._x1,hn=Mt._y1,An=Mt._x2,Mn=Mt._y2;if(Mt._l01_a>c){var Li=2*Mt._l01_2a+3*Mt._l01_a*Mt._l12_a+Mt._l12_2a,_n=3*Mt._l01_a*(Mt._l01_a+Mt._l12_a);vi=(vi*Li-Mt._x0*Mt._l12_2a+Mt._x2*Mt._l01_2a)/_n,hn=(hn*Li-Mt._y0*Mt._l12_2a+Mt._y2*Mt._l01_2a)/_n}if(Mt._l23_a>c){var ya=2*Mt._l23_2a+3*Mt._l23_a*Mt._l12_a+Mt._l12_2a,Jn=3*Mt._l23_a*(Mt._l23_a+Mt._l12_a);An=(An*ya+Mt._x1*Mt._l23_2a-kr*Mt._l12_2a)/Jn,Mn=(Mn*ya+Mt._y1*Mt._l23_2a-Jr*Mt._l12_2a)/Jn}Mt._context.bezierCurveTo(vi,hn,An,Mn,Mt._x2,Mt._y2)}function ar(Mt,kr){this._context=Mt,this._alpha=kr}ar.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x0=this._x1=this._x2=this._y0=this._y1=this._y2=NaN,this._l01_a=this._l12_a=this._l23_a=this._l01_2a=this._l12_2a=this._l23_2a=this._point=0},lineEnd:function(){switch(this._point){case 2:this._context.lineTo(this._x2,this._y2);break;case 3:this.point(this._x2,this._y2);break}(this._line||this._line!==0&&this._point===1)&&this._context.closePath(),this._line=1-this._line},point:function(Mt,kr){if(Mt=+Mt,kr=+kr,this._point){var Jr=this._x2-Mt,vi=this._y2-kr;this._l23_a=Math.sqrt(this._l23_2a=Math.pow(Jr*Jr+vi*vi,this._alpha))}switch(this._point){case 0:this._point=1,this._line?this._context.lineTo(Mt,kr):this._context.moveTo(Mt,kr);break;case 1:this._point=2;break;case 2:this._point=3;default:ir(this,Mt,kr);break}this._l01_a=this._l12_a,this._l12_a=this._l23_a,this._l01_2a=this._l12_2a,this._l12_2a=this._l23_2a,this._x0=this._x1,this._x1=this._x2,this._x2=Mt,this._y0=this._y1,this._y1=this._y2,this._y2=kr}};var vr=function Mt(kr){function Jr(vi){return kr?new ar(vi,kr):new tt(vi,0)}return Jr.alpha=function(vi){return Mt(+vi)},Jr}(.5);function ii(Mt,kr){this._context=Mt,this._alpha=kr}ii.prototype={areaStart:er,areaEnd:er,lineStart:function(){this._x0=this._x1=this._x2=this._x3=this._x4=this._x5=this._y0=this._y1=this._y2=this._y3=this._y4=this._y5=NaN,this._l01_a=this._l12_a=this._l23_a=this._l01_2a=this._l12_2a=this._l23_2a=this._point=0},lineEnd:function(){switch(this._point){case 1:{this._context.moveTo(this._x3,this._y3),this._context.closePath();break}case 2:{this._context.lineTo(this._x3,this._y3),this._context.closePath();break}case 3:{this.point(this._x3,this._y3),this.point(this._x4,this._y4),this.point(this._x5,this._y5);break}}},point:function(Mt,kr){if(Mt=+Mt,kr=+kr,this._point){var Jr=this._x2-Mt,vi=this._y2-kr;this._l23_a=Math.sqrt(this._l23_2a=Math.pow(Jr*Jr+vi*vi,this._alpha))}switch(this._point){case 0:this._point=1,this._x3=Mt,this._y3=kr;break;case 1:this._point=2,this._context.moveTo(this._x4=Mt,this._y4=kr);break;case 2:this._point=3,this._x5=Mt,this._y5=kr;break;default:ir(this,Mt,kr);break}this._l01_a=this._l12_a,this._l12_a=this._l23_a,this._l01_2a=this._l12_2a,this._l12_2a=this._l23_2a,this._x0=this._x1,this._x1=this._x2,this._x2=Mt,this._y0=this._y1,this._y1=this._y2,this._y2=kr}};var pi=function Mt(kr){function Jr(vi){return kr?new ii(vi,kr):new Ie(vi,0)}return Jr.alpha=function(vi){return Mt(+vi)},Jr}(.5);function $r(Mt,kr){this._context=Mt,this._alpha=kr}$r.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x0=this._x1=this._x2=this._y0=this._y1=this._y2=NaN,this._l01_a=this._l12_a=this._l23_a=this._l01_2a=this._l12_2a=this._l23_2a=this._point=0},lineEnd:function(){(this._line||this._line!==0&&this._point===3)&&this._context.closePath(),this._line=1-this._line},point:function(Mt,kr){if(Mt=+Mt,kr=+kr,this._point){var Jr=this._x2-Mt,vi=this._y2-kr;this._l23_a=Math.sqrt(this._l23_2a=Math.pow(Jr*Jr+vi*vi,this._alpha))}switch(this._point){case 0:this._point=1;break;case 1:this._point=2;break;case 2:this._point=3,this._line?this._context.lineTo(this._x2,this._y2):this._context.moveTo(this._x2,this._y2);break;case 3:this._point=4;default:ir(this,Mt,kr);break}this._l01_a=this._l12_a,this._l12_a=this._l23_a,this._l01_2a=this._l12_2a,this._l12_2a=this._l23_2a,this._x0=this._x1,this._x1=this._x2,this._x2=Mt,this._y0=this._y1,this._y1=this._y2,this._y2=kr}};var di=function Mt(kr){function Jr(vi){return kr?new $r(vi,kr):new ke(vi,0)}return Jr.alpha=function(vi){return Mt(+vi)},Jr}(.5);function ji(Mt){this._context=Mt}ji.prototype={areaStart:er,areaEnd:er,lineStart:function(){this._point=0},lineEnd:function(){this._point&&this._context.closePath()},point:function(Mt,kr){Mt=+Mt,kr=+kr,this._point?this._context.lineTo(Mt,kr):(this._point=1,this._context.moveTo(Mt,kr))}};function In(Mt){return new ji(Mt)}function wi(Mt){return Mt<0?-1:1}function On(Mt,kr,Jr){var vi=Mt._x1-Mt._x0,hn=kr-Mt._x1,An=(Mt._y1-Mt._y0)/(vi||hn<0&&-0),Mn=(Jr-Mt._y1)/(hn||vi<0&&-0),Li=(An*hn+Mn*vi)/(vi+hn);return(wi(An)+wi(Mn))*Math.min(Math.abs(An),Math.abs(Mn),.5*Math.abs(Li))||0}function qn(Mt,kr){var Jr=Mt._x1-Mt._x0;return Jr?(3*(Mt._y1-Mt._y0)/Jr-kr)/2:kr}function Fn(Mt,kr,Jr){var vi=Mt._x0,hn=Mt._y0,An=Mt._x1,Mn=Mt._y1,Li=(An-vi)/3;Mt._context.bezierCurveTo(vi+Li,hn+Li*kr,An-Li,Mn-Li*Jr,An,Mn)}function ra(Mt){this._context=Mt}ra.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x0=this._x1=this._y0=this._y1=this._t0=NaN,this._point=0},lineEnd:function(){switch(this._point){case 2:this._context.lineTo(this._x1,this._y1);break;case 3:Fn(this,this._t0,qn(this,this._t0));break}(this._line||this._line!==0&&this._point===1)&&this._context.closePath(),this._line=1-this._line},point:function(Mt,kr){var Jr=NaN;if(Mt=+Mt,kr=+kr,!(Mt===this._x1&&kr===this._y1)){switch(this._point){case 0:this._point=1,this._line?this._context.lineTo(Mt,kr):this._context.moveTo(Mt,kr);break;case 1:this._point=2;break;case 2:this._point=3,Fn(this,qn(this,Jr=On(this,Mt,kr)),Jr);break;default:Fn(this,this._t0,Jr=On(this,Mt,kr));break}this._x0=this._x1,this._x1=Mt,this._y0=this._y1,this._y1=kr,this._t0=Jr}}};function la(Mt){this._context=new Ut(Mt)}(la.prototype=Object.create(ra.prototype)).point=function(Mt,kr){ra.prototype.point.call(this,kr,Mt)};function Ut(Mt){this._context=Mt}Ut.prototype={moveTo:function(Mt,kr){this._context.moveTo(kr,Mt)},closePath:function(){this._context.closePath()},lineTo:function(Mt,kr){this._context.lineTo(kr,Mt)},bezierCurveTo:function(Mt,kr,Jr,vi,hn,An){this._context.bezierCurveTo(kr,Mt,vi,Jr,An,hn)}};function wt(Mt){return new ra(Mt)}function rr(Mt){return new la(Mt)}function nr(Mt){this._context=Mt}nr.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x=[],this._y=[]},lineEnd:function(){var Mt=this._x,kr=this._y,Jr=Mt.length;if(Jr)if(this._line?this._context.lineTo(Mt[0],kr[0]):this._context.moveTo(Mt[0],kr[0]),Jr===2)this._context.lineTo(Mt[1],kr[1]);else for(var vi=Er(Mt),hn=Er(kr),An=0,Mn=1;Mn<Jr;++An,++Mn)this._context.bezierCurveTo(vi[0][An],hn[0][An],vi[1][An],hn[1][An],Mt[Mn],kr[Mn]);(this._line||this._line!==0&&Jr===1)&&this._context.closePath(),this._line=1-this._line,this._x=this._y=null},point:function(Mt,kr){this._x.push(+Mt),this._y.push(+kr)}};function Er(Mt){var kr,Jr=Mt.length-1,vi,hn=new Array(Jr),An=new Array(Jr),Mn=new Array(Jr);for(hn[0]=0,An[0]=2,Mn[0]=Mt[0]+2*Mt[1],kr=1;kr<Jr-1;++kr)hn[kr]=1,An[kr]=4,Mn[kr]=4*Mt[kr]+2*Mt[kr+1];for(hn[Jr-1]=2,An[Jr-1]=7,Mn[Jr-1]=8*Mt[Jr-1]+Mt[Jr],kr=1;kr<Jr;++kr)vi=hn[kr]/An[kr-1],An[kr]-=vi,Mn[kr]-=vi*Mn[kr-1];for(hn[Jr-1]=Mn[Jr-1]/An[Jr-1],kr=Jr-2;kr>=0;--kr)hn[kr]=(Mn[kr]-hn[kr+1])/An[kr];for(An[Jr-1]=(Mt[Jr]+hn[Jr-1])/2,kr=0;kr<Jr-1;++kr)An[kr]=2*Mt[kr+1]-hn[kr+1];return[hn,An]}function Xr(Mt){return new nr(Mt)}function ri(Mt,kr){this._context=Mt,this._t=kr}ri.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x=this._y=NaN,this._point=0},lineEnd:function(){0<this._t&&this._t<1&&this._point===2&&this._context.lineTo(this._x,this._y),(this._line||this._line!==0&&this._point===1)&&this._context.closePath(),this._line>=0&&(this._t=1-this._t,this._line=1-this._line)},point:function(Mt,kr){switch(Mt=+Mt,kr=+kr,this._point){case 0:this._point=1,this._line?this._context.lineTo(Mt,kr):this._context.moveTo(Mt,kr);break;case 1:this._point=2;default:{if(this._t<=0)this._context.lineTo(this._x,kr),this._context.lineTo(Mt,kr);else{var Jr=this._x*(1-this._t)+Mt*this._t;this._context.lineTo(Jr,this._y),this._context.lineTo(Jr,kr)}break}}this._x=Mt,this._y=kr}};function Qr(Mt){return new ri(Mt,.5)}function Oi(Mt){return new ri(Mt,0)}function $i(Mt){return new ri(Mt,1)}function tn(Mt,kr){if((Mn=Mt.length)>1)for(var Jr=1,vi,hn,An=Mt[kr[0]],Mn,Li=An.length;Jr<Mn;++Jr)for(hn=An,An=Mt[kr[Jr]],vi=0;vi<Li;++vi)An[vi][1]+=An[vi][0]=isNaN(hn[vi][1])?hn[vi][0]:hn[vi][1]}function fn(Mt){for(var kr=Mt.length,Jr=new Array(kr);--kr>=0;)Jr[kr]=kr;return Jr}function yn(Mt,kr){return Mt[kr]}function Sn(){var Mt=r([]),kr=fn,Jr=tn,vi=yn;function hn(An){var Mn=Mt.apply(this,arguments),Li,_n=An.length,ya=Mn.length,Jn=new Array(ya),Ma;for(Li=0;Li<ya;++Li){for(var _o=Mn[Li],No=Jn[Li]=new 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st.targetLinks.forEach(function(Jt){Nt=Jt.circular&&!pt(Jt,lt)?Nt+1:Nt}),Gt+Nt}function j(st){var lt=st.source.sourceLinks,Gt=0;lt.forEach(function(sr){Gt=sr.circular?Gt+1:Gt});var Nt=st.target.targetLinks,Jt=0;return Nt.forEach(function(sr){Jt=sr.circular?Jt+1:Jt}),!(Gt>1||Jt>1)}function N(st,lt,Gt){return st.sort(oe),st.forEach(function(Nt,Jt){var sr=0;if(pt(Nt,Gt)&&j(Nt))Nt.circularPathData.verticalBuffer=sr+Nt.width/2;else{var wr=0;for(wr;wr<Jt;wr++)if(G(st[Jt],st[wr])){var cr=st[wr].circularPathData.verticalBuffer+st[wr].width/2+lt;sr=cr>sr?cr:sr}Nt.circularPathData.verticalBuffer=sr+Nt.width/2}}),st}function H(st,lt,Gt,Nt){var Jt=5,sr=t.min(st.links,function($e){return $e.source.y0});st.links.forEach(function($e){$e.circular&&($e.circularPathData={})});var wr=st.links.filter(function($e){return $e.circularLinkType==\"top\"});N(wr,lt,Nt);var cr=st.links.filter(function($e){return $e.circularLinkType==\"bottom\"});N(cr,lt,Nt),st.links.forEach(function($e){if($e.circular){if($e.circularPathData.arcRadius=$e.width+g,$e.circularPathData.leftNodeBuffer=Jt,$e.circularPathData.rightNodeBuffer=Jt,$e.circularPathData.sourceWidth=$e.source.x1-$e.source.x0,$e.circularPathData.sourceX=$e.source.x0+$e.circularPathData.sourceWidth,$e.circularPathData.targetX=$e.target.x0,$e.circularPathData.sourceY=$e.y0,$e.circularPathData.targetY=$e.y1,pt($e,Nt)&&j($e))$e.circularPathData.leftSmallArcRadius=g+$e.width/2,$e.circularPathData.leftLargeArcRadius=g+$e.width/2,$e.circularPathData.rightSmallArcRadius=g+$e.width/2,$e.circularPathData.rightLargeArcRadius=g+$e.width/2,$e.circularLinkType==\"bottom\"?($e.circularPathData.verticalFullExtent=$e.source.y1+M+$e.circularPathData.verticalBuffer,$e.circularPathData.verticalLeftInnerExtent=$e.circularPathData.verticalFullExtent-$e.circularPathData.leftLargeArcRadius,$e.circularPathData.verticalRightInnerExtent=$e.circularPathData.verticalFullExtent-$e.circularPathData.rightLargeArcRadius):($e.circularPathData.verticalFullExtent=$e.source.y0-M-$e.circularPathData.verticalBuffer,$e.circularPathData.verticalLeftInnerExtent=$e.circularPathData.verticalFullExtent+$e.circularPathData.leftLargeArcRadius,$e.circularPathData.verticalRightInnerExtent=$e.circularPathData.verticalFullExtent+$e.circularPathData.rightLargeArcRadius);else{var St=$e.source.column,Qt=$e.circularLinkType,Vt=st.links.filter(function(mt){return mt.source.column==St&&mt.circularLinkType==Qt});$e.circularLinkType==\"bottom\"?Vt.sort(Ee):Vt.sort(_e);var _t=0;Vt.forEach(function(mt,er){mt.circularLinkID==$e.circularLinkID&&($e.circularPathData.leftSmallArcRadius=g+$e.width/2+_t,$e.circularPathData.leftLargeArcRadius=g+$e.width/2+er*lt+_t),_t=_t+mt.width}),St=$e.target.column,Vt=st.links.filter(function(mt){return mt.target.column==St&&mt.circularLinkType==Qt}),$e.circularLinkType==\"bottom\"?Vt.sort(me):Vt.sort(Ce),_t=0,Vt.forEach(function(mt,er){mt.circularLinkID==$e.circularLinkID&&($e.circularPathData.rightSmallArcRadius=g+$e.width/2+_t,$e.circularPathData.rightLargeArcRadius=g+$e.width/2+er*lt+_t),_t=_t+mt.width}),$e.circularLinkType==\"bottom\"?($e.circularPathData.verticalFullExtent=Math.max(Gt,$e.source.y1,$e.target.y1)+M+$e.circularPathData.verticalBuffer,$e.circularPathData.verticalLeftInnerExtent=$e.circularPathData.verticalFullExtent-$e.circularPathData.leftLargeArcRadius,$e.circularPathData.verticalRightInnerExtent=$e.circularPathData.verticalFullExtent-$e.circularPathData.rightLargeArcRadius):($e.circularPathData.verticalFullExtent=sr-M-$e.circularPathData.verticalBuffer,$e.circularPathData.verticalLeftInnerExtent=$e.circularPathData.verticalFullExtent+$e.circularPathData.leftLargeArcRadius,$e.circularPathData.verticalRightInnerExtent=$e.circularPathData.verticalFullExtent+$e.circularPathData.rightLargeArcRadius)}$e.circularPathData.leftInnerExtent=$e.circularPathData.sourceX+$e.circularPathData.leftNodeBuffer,$e.circularPathData.rightInnerExtent=$e.circularPathData.targetX-$e.circularPathData.rightNodeBuffer,$e.circularPathData.leftFullExtent=$e.circularPathData.sourceX+$e.circularPathData.leftLargeArcRadius+$e.circularPathData.leftNodeBuffer,$e.circularPathData.rightFullExtent=$e.circularPathData.targetX-$e.circularPathData.rightLargeArcRadius-$e.circularPathData.rightNodeBuffer}if($e.circular)$e.path=te($e);else{var It=n.linkHorizontal().source(function(mt){var er=mt.source.x0+(mt.source.x1-mt.source.x0),lr=mt.y0;return[er,lr]}).target(function(mt){var er=mt.target.x0,lr=mt.y1;return[er,lr]});$e.path=It($e)}})}function te(st){var lt=\"\";return st.circularLinkType==\"top\"?lt=\"M\"+st.circularPathData.sourceX+\" \"+st.circularPathData.sourceY+\" L\"+st.circularPathData.leftInnerExtent+\" \"+st.circularPathData.sourceY+\" A\"+st.circularPathData.leftLargeArcRadius+\" \"+st.circularPathData.leftSmallArcRadius+\" 0 0 0 \"+st.circularPathData.leftFullExtent+\" \"+(st.circularPathData.sourceY-st.circularPathData.leftSmallArcRadius)+\" L\"+st.circularPathData.leftFullExtent+\" \"+st.circularPathData.verticalLeftInnerExtent+\" A\"+st.circularPathData.leftLargeArcRadius+\" \"+st.circularPathData.leftLargeArcRadius+\" 0 0 0 \"+st.circularPathData.leftInnerExtent+\" \"+st.circularPathData.verticalFullExtent+\" L\"+st.circularPathData.rightInnerExtent+\" \"+st.circularPathData.verticalFullExtent+\" A\"+st.circularPathData.rightLargeArcRadius+\" \"+st.circularPathData.rightLargeArcRadius+\" 0 0 0 \"+st.circularPathData.rightFullExtent+\" \"+st.circularPathData.verticalRightInnerExtent+\" L\"+st.circularPathData.rightFullExtent+\" \"+(st.circularPathData.targetY-st.circularPathData.rightSmallArcRadius)+\" A\"+st.circularPathData.rightLargeArcRadius+\" \"+st.circularPathData.rightSmallArcRadius+\" 0 0 0 \"+st.circularPathData.rightInnerExtent+\" \"+st.circularPathData.targetY+\" L\"+st.circularPathData.targetX+\" \"+st.circularPathData.targetY:lt=\"M\"+st.circularPathData.sourceX+\" \"+st.circularPathData.sourceY+\" L\"+st.circularPathData.leftInnerExtent+\" \"+st.circularPathData.sourceY+\" A\"+st.circularPathData.leftLargeArcRadius+\" \"+st.circularPathData.leftSmallArcRadius+\" 0 0 1 \"+st.circularPathData.leftFullExtent+\" \"+(st.circularPathData.sourceY+st.circularPathData.leftSmallArcRadius)+\" L\"+st.circularPathData.leftFullExtent+\" \"+st.circularPathData.verticalLeftInnerExtent+\" A\"+st.circularPathData.leftLargeArcRadius+\" \"+st.circularPathData.leftLargeArcRadius+\" 0 0 1 \"+st.circularPathData.leftInnerExtent+\" \"+st.circularPathData.verticalFullExtent+\" L\"+st.circularPathData.rightInnerExtent+\" \"+st.circularPathData.verticalFullExtent+\" A\"+st.circularPathData.rightLargeArcRadius+\" \"+st.circularPathData.rightLargeArcRadius+\" 0 0 1 \"+st.circularPathData.rightFullExtent+\" \"+st.circularPathData.verticalRightInnerExtent+\" L\"+st.circularPathData.rightFullExtent+\" \"+(st.circularPathData.targetY+st.circularPathData.rightSmallArcRadius)+\" A\"+st.circularPathData.rightLargeArcRadius+\" \"+st.circularPathData.rightSmallArcRadius+\" 0 0 1 \"+st.circularPathData.rightInnerExtent+\" \"+st.circularPathData.targetY+\" L\"+st.circularPathData.targetX+\" \"+st.circularPathData.targetY,lt}function oe(st,lt){return ie(st)==ie(lt)?st.circularLinkType==\"bottom\"?Ee(st,lt):_e(st,lt):ie(lt)-ie(st)}function _e(st,lt){return st.y0-lt.y0}function Ee(st,lt){return lt.y0-st.y0}function Ce(st,lt){return st.y1-lt.y1}function me(st,lt){return lt.y1-st.y1}function ie(st){return st.target.column-st.source.column}function Se(st){return st.target.x0-st.source.x1}function Le(st,lt){var Gt=V(st),Nt=Se(lt)/Math.tan(Gt),Jt=ut(st)==\"up\"?st.y1+Nt:st.y1-Nt;return Jt}function Ae(st,lt){var Gt=V(st),Nt=Se(lt)/Math.tan(Gt),Jt=ut(st)==\"up\"?st.y1-Nt:st.y1+Nt;return Jt}function Fe(st,lt,Gt,Nt){st.links.forEach(function(Jt){if(!Jt.circular&&Jt.target.column-Jt.source.column>1){var sr=Jt.source.column+1,wr=Jt.target.column-1,cr=1,$e=wr-sr+1;for(cr=1;sr<=wr;sr++,cr++)st.nodes.forEach(function(St){if(St.column==sr){var Qt=cr/($e+1),Vt=Math.pow(1-Qt,3),_t=3*Qt*Math.pow(1-Qt,2),It=3*Math.pow(Qt,2)*(1-Qt),mt=Math.pow(Qt,3),er=Vt*Jt.y0+_t*Jt.y0+It*Jt.y1+mt*Jt.y1,lr=er-Jt.width/2,Tr=er+Jt.width/2,Lr;lr>St.y0&&lr<St.y1?(Lr=St.y1-lr+10,Lr=St.circularLinkType==\"bottom\"?Lr:-Lr,St=ge(St,Lr,lt,Gt),st.nodes.forEach(function(ti){C(ti,Nt)==C(St,Nt)||ti.column!=St.column||Pe(St,ti)&&ge(ti,Lr,lt,Gt)})):Tr>St.y0&&Tr<St.y1?(Lr=Tr-St.y0+10,St=ge(St,Lr,lt,Gt),st.nodes.forEach(function(ti){C(ti,Nt)==C(St,Nt)||ti.column!=St.column||ti.y0<St.y1&&ti.y1>St.y1&&ge(ti,Lr,lt,Gt)})):lr<St.y0&&Tr>St.y1&&(Lr=Tr-St.y0+10,St=ge(St,Lr,lt,Gt),st.nodes.forEach(function(ti){C(ti,Nt)==C(St,Nt)||ti.column!=St.column||ti.y0<St.y1&&ti.y1>St.y1&&ge(ti,Lr,lt,Gt)}))}})}})}function Pe(st,lt){return st.y0>lt.y0&&st.y0<lt.y1||st.y1>lt.y0&&st.y1<lt.y1?!0:st.y0<lt.y0&&st.y1>lt.y1}function ge(st,lt,Gt,Nt){return st.y0+lt>=Gt&&st.y1+lt<=Nt&&(st.y0=st.y0+lt,st.y1=st.y1+lt,st.targetLinks.forEach(function(Jt){Jt.y1=Jt.y1+lt}),st.sourceLinks.forEach(function(Jt){Jt.y0=Jt.y0+lt})),st}function Re(st,lt,Gt,Nt){st.nodes.forEach(function(Jt){Nt&&Jt.y+(Jt.y1-Jt.y0)>lt&&(Jt.y=Jt.y-(Jt.y+(Jt.y1-Jt.y0)-lt));var sr=st.links.filter(function($e){return C($e.source,Gt)==C(Jt,Gt)}),wr=sr.length;wr>1&&sr.sort(function($e,St){if(!$e.circular&&!St.circular){if($e.target.column==St.target.column)return $e.y1-St.y1;if(Ze($e,St)){if($e.target.column>St.target.column){var Qt=Ae(St,$e);return $e.y1-Qt}if(St.target.column>$e.target.column){var Vt=Ae($e,St);return Vt-St.y1}}else return $e.y1-St.y1}if($e.circular&&!St.circular)return $e.circularLinkType==\"top\"?-1:1;if(St.circular&&!$e.circular)return St.circularLinkType==\"top\"?1:-1;if($e.circular&&St.circular)return $e.circularLinkType===St.circularLinkType&&$e.circularLinkType==\"top\"?$e.target.column===St.target.column?$e.target.y1-St.target.y1:St.target.column-$e.target.column:$e.circularLinkType===St.circularLinkType&&$e.circularLinkType==\"bottom\"?$e.target.column===St.target.column?St.target.y1-$e.target.y1:$e.target.column-St.target.column:$e.circularLinkType==\"top\"?-1:1});var cr=Jt.y0;sr.forEach(function($e){$e.y0=cr+$e.width/2,cr=cr+$e.width}),sr.forEach(function($e,St){if($e.circularLinkType==\"bottom\"){var Qt=St+1,Vt=0;for(Qt;Qt<wr;Qt++)Vt=Vt+sr[Qt].width;$e.y0=Jt.y1-Vt-$e.width/2}})})}function ce(st,lt,Gt){st.nodes.forEach(function(Nt){var Jt=st.links.filter(function(cr){return C(cr.target,Gt)==C(Nt,Gt)}),sr=Jt.length;sr>1&&Jt.sort(function(cr,$e){if(!cr.circular&&!$e.circular){if(cr.source.column==$e.source.column)return cr.y0-$e.y0;if(Ze(cr,$e)){if($e.source.column<cr.source.column){var St=Le($e,cr);return cr.y0-St}if(cr.source.column<$e.source.column){var Qt=Le(cr,$e);return Qt-$e.y0}}else return cr.y0-$e.y0}if(cr.circular&&!$e.circular)return cr.circularLinkType==\"top\"?-1:1;if($e.circular&&!cr.circular)return $e.circularLinkType==\"top\"?1:-1;if(cr.circular&&$e.circular)return cr.circularLinkType===$e.circularLinkType&&cr.circularLinkType==\"top\"?cr.source.column===$e.source.column?cr.source.y1-$e.source.y1:cr.source.column-$e.source.column:cr.circularLinkType===$e.circularLinkType&&cr.circularLinkType==\"bottom\"?cr.source.column===$e.source.column?cr.source.y1-$e.source.y1:$e.source.column-cr.source.column:cr.circularLinkType==\"top\"?-1:1});var wr=Nt.y0;Jt.forEach(function(cr){cr.y1=wr+cr.width/2,wr=wr+cr.width}),Jt.forEach(function(cr,$e){if(cr.circularLinkType==\"bottom\"){var St=$e+1,Qt=0;for(St;St<sr;St++)Qt=Qt+Jt[St].width;cr.y1=Nt.y1-Qt-cr.width/2}})})}function Ze(st,lt){return ut(st)==ut(lt)}function ut(st){return st.y0-st.y1>0?\"up\":\"down\"}function pt(st,lt){return C(st.source,lt)==C(st.target,lt)}function Zt(st,lt,Gt){var Nt=st.nodes,Jt=st.links,sr=!1,wr=!1;if(Jt.forEach(function(_t){_t.circularLinkType==\"top\"?sr=!0:_t.circularLinkType==\"bottom\"&&(wr=!0)}),sr==!1||wr==!1){var cr=t.min(Nt,function(_t){return _t.y0}),$e=t.max(Nt,function(_t){return _t.y1}),St=$e-cr,Qt=Gt-lt,Vt=Qt/St;Nt.forEach(function(_t){var It=(_t.y1-_t.y0)*Vt;_t.y0=(_t.y0-cr)*Vt,_t.y1=_t.y0+It}),Jt.forEach(function(_t){_t.y0=(_t.y0-cr)*Vt,_t.y1=(_t.y1-cr)*Vt,_t.width=_t.width*Vt})}}e.sankeyCircular=T,e.sankeyCenter=u,e.sankeyLeft=o,e.sankeyRight=s,e.sankeyJustify=l,Object.defineProperty(e,\"__esModule\",{value:!0})})});var WJ=ye((e2r,XWe)=>{\"use strict\";XWe.exports={nodeTextOffsetHorizontal:4,nodeTextOffsetVertical:3,nodePadAcross:10,sankeyIterations:50,forceIterations:5,forceTicksPerFrame:10,duration:500,ease:\"linear\",cn:{sankey:\"sankey\",sankeyLinks:\"sankey-links\",sankeyLink:\"sankey-link\",sankeyNodeSet:\"sankey-node-set\",sankeyNode:\"sankey-node\",nodeRect:\"node-rect\",nodeLabel:\"node-label\"}}});var oXe=ye((t2r,aXe)=>{\"use strict\";var ZWe=OWe(),zZt=(F2(),ob(D2)).interpolateNumber,R5=Oa(),Jk=VWe(),OZt=WWe(),Nu=WJ(),D5=cd(),sw=ka(),qZt=So(),p1=Dr(),YJ=p1.strTranslate,BZt=p1.strRotate,KJ=Jm(),$k=KJ.keyFun,E7=KJ.repeat,eXe=KJ.unwrap,YWe=ru(),NZt=qa(),tXe=$h(),UZt=tXe.CAP_SHIFT,VZt=tXe.LINE_SPACING,GZt=3;function HZt(e,t,r){var n=eXe(t),i=n.trace,a=i.domain,o=i.orientation===\"h\",s=i.node.pad,l=i.node.thickness,u={justify:Jk.sankeyJustify,left:Jk.sankeyLeft,right:Jk.sankeyRight,center:Jk.sankeyCenter}[i.node.align],c=e.width*(a.x[1]-a.x[0]),f=e.height*(a.y[1]-a.y[0]),h=n._nodes,d=n._links,v=n.circular,_;v?_=OZt.sankeyCircular().circularLinkGap(0):_=Jk.sankey(),_.iterations(Nu.sankeyIterations).size(o?[c,f]:[f,c]).nodeWidth(l).nodePadding(s).nodeId(function(V){return V.pointNumber}).nodeAlign(u).nodes(h).links(d);var b=_();_.nodePadding()<s&&p1.warn(\"node.pad was reduced to \",_.nodePadding(),\" to fit within the figure.\");var p,k,E;for(var S in n._groupLookup){var L=parseInt(n._groupLookup[S]),x;for(p=0;p<b.nodes.length;p++)if(b.nodes[p].pointNumber===L){x=b.nodes[p];break}if(x){var C={pointNumber:parseInt(S),x0:x.x0,x1:x.x1,y0:x.y0,y1:x.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};b.nodes.unshift(C),x.childrenNodes.unshift(C)}}function M(){for(p=0;p<b.nodes.length;p++){var V=b.nodes[p],G={},Z,j;for(k=0;k<V.targetLinks.length;k++)j=V.targetLinks[k],Z=j.source.pointNumber+\":\"+j.target.pointNumber,G.hasOwnProperty(Z)||(G[Z]=[]),G[Z].push(j);var N=Object.keys(G);for(k=0;k<N.length;k++){Z=N[k];var H=G[Z],te=0,oe={};for(E=0;E<H.length;E++)j=H[E],oe[j.label]||(oe[j.label]=0),oe[j.label]+=j.value,te+=j.value;for(E=0;E<H.length;E++)j=H[E],j.flow={value:te,labelConcentration:oe[j.label]/te,concentration:j.value/te,links:H},j.concentrationscale&&(j.color=D5(j.concentrationscale(j.flow.labelConcentration)))}var _e=0;for(k=0;k<V.sourceLinks.length;k++)_e+=V.sourceLinks[k].value;for(k=0;k<V.sourceLinks.length;k++)j=V.sourceLinks[k],j.concentrationOut=j.value/_e;var Ee=0;for(k=0;k<V.targetLinks.length;k++)Ee+=V.targetLinks[k].value;for(k=0;k<V.targetLinks.length;k++)j=V.targetLinks[k],j.concenrationIn=j.value/Ee}}M();function g(V){V.forEach(function(G){var Z,j,N=0,H=G.length,te;for(G.sort(function(oe,_e){return oe.y0-_e.y0}),te=0;te<H;++te)Z=G[te],Z.y0>=N||(j=N-Z.y0,j>1e-6&&(Z.y0+=j,Z.y1+=j)),N=Z.y1+s})}function P(V){var G=V.map(function(_e,Ee){return{x0:_e.x0,index:Ee}}).sort(function(_e,Ee){return _e.x0-Ee.x0}),Z=[],j=-1,N,H=-1/0,te;for(p=0;p<G.length;p++){var oe=V[G[p].index];oe.x0>H+l&&(j+=1,N=oe.x0),H=oe.x0,Z[j]||(Z[j]=[]),Z[j].push(oe),te=N-oe.x0,oe.x0+=te,oe.x1+=te}return Z}if(i.node.x.length&&i.node.y.length){for(p=0;p<Math.min(i.node.x.length,i.node.y.length,b.nodes.length);p++)if(i.node.x[p]&&i.node.y[p]){var T=[i.node.x[p]*c,i.node.y[p]*f];b.nodes[p].x0=T[0]-l/2,b.nodes[p].x1=T[0]+l/2;var z=b.nodes[p].y1-b.nodes[p].y0;b.nodes[p].y0=T[1]-z/2,b.nodes[p].y1=T[1]+z/2}if(i.arrangement===\"snap\"){h=b.nodes;var O=P(h);g(O)}_.update(b)}return{circular:v,key:r,trace:i,guid:p1.randstr(),horizontal:o,width:c,height:f,nodePad:i.node.pad,nodeLineColor:i.node.line.color,nodeLineWidth:i.node.line.width,linkLineColor:i.link.line.color,linkLineWidth:i.link.line.width,linkArrowLength:i.link.arrowlen,valueFormat:i.valueformat,valueSuffix:i.valuesuffix,textFont:i.textfont,translateX:a.x[0]*e.width+e.margin.l,translateY:e.height-a.y[1]*e.height+e.margin.t,dragParallel:o?f:c,dragPerpendicular:o?c:f,arrangement:i.arrangement,sankey:_,graph:b,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function jZt(e,t,r){var n=D5(t.color),i=D5(t.hovercolor),a=t.source.label+\"|\"+t.target.label,o=a+\"__\"+r;return t.trace=e.trace,t.curveNumber=e.trace.index,{circular:e.circular,key:o,traceId:e.key,pointNumber:t.pointNumber,link:t,tinyColorHue:sw.tinyRGB(n),tinyColorAlpha:n.getAlpha(),tinyColorHoverHue:sw.tinyRGB(i),tinyColorHoverAlpha:i.getAlpha(),linkPath:JJ,linkLineColor:e.linkLineColor,linkLineWidth:e.linkLineWidth,linkArrowLength:e.linkArrowLength,valueFormat:e.valueFormat,valueSuffix:e.valueSuffix,sankey:e.sankey,parent:e,interactionState:e.interactionState,flow:t.flow}}function WZt(e,t){var r=\"\",n=e.width/2,i=e.circularPathData,a=i.sourceX+i.verticalBuffer<i.targetX,o=i.rightFullExtent-i.rightLargeArcRadius-t<=i.leftFullExtent-n,s=Math.abs(i.rightFullExtent-i.leftFullExtent-n)<n;return e.circularLinkType===\"top\"?(r=\"M \"+(i.targetX-t)+\" \"+(i.targetY+n)+\" L \"+(i.rightInnerExtent-t)+\" \"+(i.targetY+n)+\"A \"+(i.rightLargeArcRadius+n)+\" \"+(i.rightSmallArcRadius+n)+\" 0 0 1 \"+(i.rightFullExtent-n-t)+\" \"+(i.targetY-i.rightSmallArcRadius)+\"L \"+(i.rightFullExtent-n-t)+\" 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\"+(i.rightInnerExtent-t)+\" \"+(i.verticalFullExtent-n)+\" L \"+i.leftInnerExtent+\" \"+(i.verticalFullExtent-n)+\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftLargeArcRadius+n)+\" 0 0 1 \"+(i.leftFullExtent+n)+\" \"+i.verticalLeftInnerExtent,r+=\" L \"+(i.leftFullExtent+n)+\" \"+(i.sourceY-i.leftSmallArcRadius)+\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftSmallArcRadius+n)+\" 0 0 1 \"+i.leftInnerExtent+\" \"+(i.sourceY+n)+\" L \"+i.sourceX+\" \"+(i.sourceY+n)+\" L \"+i.sourceX+\" \"+(i.sourceY-n)+\" L \"+i.leftInnerExtent+\" \"+(i.sourceY-n)+\" A \"+(i.leftLargeArcRadius-n)+\" \"+(i.leftSmallArcRadius-n)+\" 0 0 0 \"+(i.leftFullExtent-n)+\" \"+(i.sourceY-i.leftSmallArcRadius)+\" L \"+(i.leftFullExtent-n)+\" \"+i.verticalLeftInnerExtent,a&&o?r+=\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftSmallArcRadius+n)+\" 0 0 0 \"+(i.leftFullExtent-n)+\" \"+(i.verticalFullExtent+n)+\"L\"+(i.rightFullExtent+n-t)+\" \"+(i.verticalFullExtent+n)+\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftSmallArcRadius+n)+\" 0 0 0 \"+(i.rightFullExtent+n-t)+\" \"+i.verticalRightInnerExtent:a?r+=\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftSmallArcRadius+n)+\" 0 0 1 \"+(i.leftFullExtent+n)+\" \"+(i.verticalFullExtent-n)+\" L \"+(i.rightFullExtent-n-t)+\" \"+(i.verticalFullExtent-n)+\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftSmallArcRadius+n)+\" 0 0 1 \"+(i.rightFullExtent+n-t)+\" \"+i.verticalRightInnerExtent:r+=\" A \"+(i.leftLargeArcRadius-n)+\" \"+(i.leftLargeArcRadius-n)+\" 0 0 0 \"+i.leftInnerExtent+\" \"+(i.verticalFullExtent+n)+\" L \"+(i.rightInnerExtent-t)+\" \"+(i.verticalFullExtent+n)+\" A \"+(i.rightLargeArcRadius-n)+\" \"+(i.rightLargeArcRadius-n)+\" 0 0 0 \"+(i.rightFullExtent+n-t)+\" \"+i.verticalRightInnerExtent,r+=\" L \"+(i.rightFullExtent+n-t)+\" \"+(i.targetY-i.rightSmallArcRadius)+\" A \"+(i.rightLargeArcRadius-n)+\" \"+(i.rightSmallArcRadius-n)+\" 0 0 0 \"+(i.rightInnerExtent-t)+\" \"+(i.targetY-n)+\" L \"+(i.targetX-t)+\" \"+(i.targetY-n)+(t>0?\" L \"+i.targetX+\" \"+i.targetY:\"\")+\"Z\"):(r=\"M \"+(i.targetX-t)+\" \"+(i.targetY-n)+\"  L \"+(i.rightInnerExtent-t)+\" \"+(i.targetY-n)+\" A \"+(i.rightLargeArcRadius+n)+\" \"+(i.rightSmallArcRadius+n)+\" 0 0 0 \"+(i.rightFullExtent-n-t)+\" \"+(i.targetY+i.rightSmallArcRadius)+\" L \"+(i.rightFullExtent-n-t)+\" \"+i.verticalRightInnerExtent,a&&o?r+=\" A \"+(i.rightLargeArcRadius+n)+\" \"+(i.rightLargeArcRadius+n)+\" 0 0 0 \"+(i.rightInnerExtent-n-t)+\" \"+(i.verticalFullExtent+n)+\" L \"+(i.rightFullExtent+n-t-(i.rightLargeArcRadius-n))+\" \"+(i.verticalFullExtent+n)+\" A \"+(i.rightLargeArcRadius+n)+\" \"+(i.rightLargeArcRadius+n)+\" 0 0 0 \"+(i.leftFullExtent+n)+\" \"+i.verticalLeftInnerExtent:a?r+=\" A \"+(i.rightLargeArcRadius-n)+\" \"+(i.rightSmallArcRadius-n)+\" 0 0 1 \"+(i.rightFullExtent-t-n-(i.rightLargeArcRadius-n))+\" \"+(i.verticalFullExtent-n)+\" L \"+(i.leftFullExtent+n+(i.rightLargeArcRadius-n))+\" \"+(i.verticalFullExtent-n)+\" A \"+(i.rightLargeArcRadius-n)+\" \"+(i.rightSmallArcRadius-n)+\" 0 0 1 \"+(i.leftFullExtent+n)+\" \"+i.verticalLeftInnerExtent:r+=\" A \"+(i.rightLargeArcRadius+n)+\" \"+(i.rightLargeArcRadius+n)+\" 0 0 0 \"+(i.rightInnerExtent-t)+\" \"+(i.verticalFullExtent+n)+\" L \"+i.leftInnerExtent+\" \"+(i.verticalFullExtent+n)+\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftLargeArcRadius+n)+\" 0 0 0 \"+(i.leftFullExtent+n)+\" \"+i.verticalLeftInnerExtent,r+=\" L \"+(i.leftFullExtent+n)+\" \"+(i.sourceY+i.leftSmallArcRadius)+\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftSmallArcRadius+n)+\" 0 0 0 \"+i.leftInnerExtent+\" \"+(i.sourceY-n)+\" L \"+i.sourceX+\" \"+(i.sourceY-n)+\" L \"+i.sourceX+\" \"+(i.sourceY+n)+\" L \"+i.leftInnerExtent+\" \"+(i.sourceY+n)+\" A \"+(i.leftLargeArcRadius-n)+\" \"+(i.leftSmallArcRadius-n)+\" 0 0 1 \"+(i.leftFullExtent-n)+\" \"+(i.sourceY+i.leftSmallArcRadius)+\" L \"+(i.leftFullExtent-n)+\" \"+i.verticalLeftInnerExtent,a&&o?r+=\" A \"+(i.rightLargeArcRadius-n)+\" \"+(i.rightSmallArcRadius-n)+\" 0 0 1 \"+(i.leftFullExtent-n-(i.rightLargeArcRadius-n))+\" \"+(i.verticalFullExtent-n)+\" L \"+(i.rightFullExtent+n-t+(i.rightLargeArcRadius-n))+\" \"+(i.verticalFullExtent-n)+\" A \"+(i.rightLargeArcRadius-n)+\" \"+(i.rightSmallArcRadius-n)+\" 0 0 1 \"+(i.rightFullExtent+n-t)+\" \"+i.verticalRightInnerExtent:a?r+=\" A \"+(i.rightLargeArcRadius+n)+\" \"+(i.rightLargeArcRadius+n)+\" 0 0 0 \"+(i.leftFullExtent+n)+\" \"+(i.verticalFullExtent+n)+\" L \"+(i.rightFullExtent-t-n)+\" \"+(i.verticalFullExtent+n)+\" A \"+(i.rightLargeArcRadius+n)+\" \"+(i.rightLargeArcRadius+n)+\" 0 0 0 \"+(i.rightFullExtent+n-t)+\" \"+i.verticalRightInnerExtent:r+=\" A \"+(i.leftLargeArcRadius-n)+\" \"+(i.leftLargeArcRadius-n)+\" 0 0 1 \"+i.leftInnerExtent+\" \"+(i.verticalFullExtent-n)+\" L \"+(i.rightInnerExtent-t)+\" \"+(i.verticalFullExtent-n)+\" A \"+(i.rightLargeArcRadius-n)+\" \"+(i.rightLargeArcRadius-n)+\" 0 0 1 \"+(i.rightFullExtent+n-t)+\" \"+i.verticalRightInnerExtent,r+=\" L \"+(i.rightFullExtent+n-t)+\" \"+(i.targetY+i.rightSmallArcRadius)+\" A \"+(i.rightLargeArcRadius-n)+\" \"+(i.rightSmallArcRadius-n)+\" 0 0 1 \"+(i.rightInnerExtent-t)+\" \"+(i.targetY+n)+\" L \"+(i.targetX-t)+\" \"+(i.targetY+n)+(t>0?\" L \"+i.targetX+\" \"+i.targetY:\"\")+\"Z\"),r}function JJ(){var e=.5;function t(r){var n=r.linkArrowLength;if(r.link.circular)return WZt(r.link,n);var i=Math.abs((r.link.target.x0-r.link.source.x1)/2);n>i&&(n=i);var a=r.link.source.x1,o=r.link.target.x0-n,s=zZt(a,o),l=s(e),u=s(1-e),c=r.link.y0-r.link.width/2,f=r.link.y0+r.link.width/2,h=r.link.y1-r.link.width/2,d=r.link.y1+r.link.width/2,v=\"M\"+a+\",\"+c,_=\"C\"+l+\",\"+c+\" \"+u+\",\"+h+\" \"+o+\",\"+h,b=\"C\"+u+\",\"+d+\" \"+l+\",\"+f+\" \"+a+\",\"+f,p=n>0?\"L\"+(o+n)+\",\"+(h+r.link.width/2):\"\";return p+=\"L\"+o+\",\"+d,v+_+p+b+\"Z\"}return t}function XZt(e,t){var r=D5(t.color),n=Nu.nodePadAcross,i=e.nodePad/2;t.dx=t.x1-t.x0,t.dy=t.y1-t.y0;var a=t.dx,o=Math.max(.5,t.dy),s=\"node_\"+t.pointNumber;return t.group&&(s=p1.randstr()),t.trace=e.trace,t.curveNumber=e.trace.index,{index:t.pointNumber,key:s,partOfGroup:t.partOfGroup||!1,group:t.group,traceId:e.key,trace:e.trace,node:t,nodePad:e.nodePad,nodeLineColor:e.nodeLineColor,nodeLineWidth:e.nodeLineWidth,textFont:e.textFont,size:e.horizontal?e.height:e.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,labelY:e.horizontal?t.dy/2+1:t.dx/2+1,left:t.originalLayer===1,sizeAcross:e.width,forceLayouts:e.forceLayouts,horizontal:e.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:sw.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:e.valueFormat,valueSuffix:e.valueSuffix,sankey:e.sankey,graph:e.graph,arrangement:e.arrangement,uniqueNodeLabelPathId:[e.guid,e.key,s].join(\"_\"),interactionState:e.interactionState,figure:e}}function ZJ(e){e.attr(\"transform\",function(t){return YJ(t.node.x0.toFixed(3),t.node.y0.toFixed(3))})}function ZZt(e){e.call(ZJ)}function rXe(e,t){e.call(ZZt),t.attr(\"d\",JJ())}function KWe(e){e.attr(\"width\",function(t){return t.node.x1-t.node.x0}).attr(\"height\",function(t){return t.visibleHeight})}function XJ(e){return e.link.width>1||e.linkLineWidth>0}function JWe(e){var t=YJ(e.translateX,e.translateY);return t+(e.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\")}function $We(e,t,r){e.on(\".basic\",null).on(\"mouseover.basic\",function(n){!n.interactionState.dragInProgress&&!n.partOfGroup&&(r.hover(this,n,t),n.interactionState.hovered=[this,n])}).on(\"mousemove.basic\",function(n){!n.interactionState.dragInProgress&&!n.partOfGroup&&(r.follow(this,n),n.interactionState.hovered=[this,n])}).on(\"mouseout.basic\",function(n){!n.interactionState.dragInProgress&&!n.partOfGroup&&(r.unhover(this,n,t),n.interactionState.hovered=!1)}).on(\"click.basic\",function(n){n.interactionState.hovered&&(r.unhover(this,n,t),n.interactionState.hovered=!1),!n.interactionState.dragInProgress&&!n.partOfGroup&&r.select(this,n,t)})}function YZt(e,t,r,n){var i=R5.behavior.drag().origin(function(a){return{x:a.node.x0+a.visibleWidth/2,y:a.node.y0+a.visibleHeight/2}}).on(\"dragstart\",function(a){if(a.arrangement!==\"fixed\"&&(p1.ensureSingle(n._fullLayout._infolayer,\"g\",\"dragcover\",function(s){n._fullLayout._dragCover=s}),p1.raiseToTop(this),a.interactionState.dragInProgress=a.node,QWe(a.node),a.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,a.interactionState.hovered),a.interactionState.hovered=!1),a.arrangement===\"snap\")){var o=a.traceId+\"|\"+a.key;a.forceLayouts[o]?a.forceLayouts[o].alpha(1):KZt(e,o,a,n),JZt(e,t,a,o,n)}}).on(\"drag\",function(a){if(a.arrangement!==\"fixed\"){var o=R5.event.x,s=R5.event.y;a.arrangement===\"snap\"?(a.node.x0=o-a.visibleWidth/2,a.node.x1=o+a.visibleWidth/2,a.node.y0=s-a.visibleHeight/2,a.node.y1=s+a.visibleHeight/2):(a.arrangement===\"freeform\"&&(a.node.x0=o-a.visibleWidth/2,a.node.x1=o+a.visibleWidth/2),s=Math.max(0,Math.min(a.size-a.visibleHeight/2,s)),a.node.y0=s-a.visibleHeight/2,a.node.y1=s+a.visibleHeight/2),QWe(a.node),a.arrangement!==\"snap\"&&(a.sankey.update(a.graph),rXe(e.filter(nXe(a)),t))}}).on(\"dragend\",function(a){if(a.arrangement!==\"fixed\"){a.interactionState.dragInProgress=!1;for(var o=0;o<a.node.childrenNodes.length;o++)a.node.childrenNodes[o].x=a.node.x,a.node.childrenNodes[o].y=a.node.y;a.arrangement!==\"snap\"&&iXe(a,n)}});e.on(\".drag\",null).call(i)}function KZt(e,t,r,n){eYt(r.graph.nodes);var i=r.graph.nodes.filter(function(a){return a.originalX===r.node.originalX}).filter(function(a){return!a.partOfGroup});r.forceLayouts[t]=ZWe.forceSimulation(i).alphaDecay(0).force(\"collide\",ZWe.forceCollide().radius(function(a){return a.dy/2+r.nodePad/2}).strength(1).iterations(Nu.forceIterations)).force(\"constrain\",$Zt(e,t,i,r,n)).stop()}function JZt(e,t,r,n,i){window.requestAnimationFrame(function a(){var o;for(o=0;o<Nu.forceTicksPerFrame;o++)r.forceLayouts[n].tick();var s=r.graph.nodes;if(tYt(s),r.sankey.update(r.graph),rXe(e.filter(nXe(r)),t),r.forceLayouts[n].alpha()>0)window.requestAnimationFrame(a);else{var l=r.node.originalX;r.node.x0=l-r.visibleWidth/2,r.node.x1=l+r.visibleWidth/2,iXe(r,i)}})}function $Zt(e,t,r,n){return function(){for(var a=0,o=0;o<r.length;o++){var s=r[o];s===n.interactionState.dragInProgress?(s.x=s.lastDraggedX,s.y=s.lastDraggedY):(s.vx=(s.originalX-s.x)/Nu.forceTicksPerFrame,s.y=Math.min(n.size-s.dy/2,Math.max(s.dy/2,s.y))),a=Math.max(a,Math.abs(s.vx),Math.abs(s.vy))}!n.interactionState.dragInProgress&&a<.1&&n.forceLayouts[t].alpha()>0&&n.forceLayouts[t].alpha(0)}}function iXe(e,t){for(var r=[],n=[],i=0;i<e.graph.nodes.length;i++){var a=(e.graph.nodes[i].x0+e.graph.nodes[i].x1)/2,o=(e.graph.nodes[i].y0+e.graph.nodes[i].y1)/2;r.push(a/e.figure.width),n.push(o/e.figure.height)}NZt.call(\"_guiRestyle\",t,{\"node.x\":[r],\"node.y\":[n]},e.trace.index).then(function(){t._fullLayout._dragCover&&t._fullLayout._dragCover.remove()})}function QZt(e){var t=[],r;for(r=0;r<e.length;r++)e[r].originalX=(e[r].x0+e[r].x1)/2,e[r].originalY=(e[r].y0+e[r].y1)/2,t.indexOf(e[r].originalX)===-1&&t.push(e[r].originalX);for(t.sort(function(n,i){return n-i}),r=0;r<e.length;r++)e[r].originalLayerIndex=t.indexOf(e[r].originalX),e[r].originalLayer=e[r].originalLayerIndex/(t.length-1)}function QWe(e){e.lastDraggedX=e.x0+e.dx/2,e.lastDraggedY=e.y0+e.dy/2}function nXe(e){return function(t){return t.node.originalX===e.node.originalX}}function eYt(e){for(var t=0;t<e.length;t++)e[t].y=(e[t].y0+e[t].y1)/2,e[t].x=(e[t].x0+e[t].x1)/2}function tYt(e){for(var t=0;t<e.length;t++)e[t].y0=e[t].y-e[t].dy/2,e[t].y1=e[t].y0+e[t].dy,e[t].x0=e[t].x-e[t].dx/2,e[t].x1=e[t].x0+e[t].dx}aXe.exports=function(e,t,r,n,i){var a=e._context.staticPlot,o=!1;p1.ensureSingle(e._fullLayout._infolayer,\"g\",\"first-render\",function(){o=!0});var s=e._fullLayout._dragCover,l=r.filter(function(b){return eXe(b).trace.visible}).map(HZt.bind(null,n)),u=t.selectAll(\".\"+Nu.cn.sankey).data(l,$k);u.exit().remove(),u.enter().append(\"g\").classed(Nu.cn.sankey,!0).style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"shape-rendering\",\"geometricPrecision\").style(\"pointer-events\",a?\"none\":\"auto\").attr(\"transform\",JWe),u.each(function(b,p){e._fullData[p]._sankey=b;var k=\"bgsankey-\"+b.trace.uid+\"-\"+p;p1.ensureSingle(e._fullLayout._draggers,\"rect\",k),e._fullData[p]._bgRect=R5.select(\".\"+k),e._fullData[p]._bgRect.style(\"pointer-events\",a?\"none\":\"all\").attr(\"width\",b.width).attr(\"height\",b.height).attr(\"x\",b.translateX).attr(\"y\",b.translateY).classed(\"bgsankey\",!0).style({fill:\"transparent\",\"stroke-width\":0})}),u.transition().ease(Nu.ease).duration(Nu.duration).attr(\"transform\",JWe);var c=u.selectAll(\".\"+Nu.cn.sankeyLinks).data(E7,$k);c.enter().append(\"g\").classed(Nu.cn.sankeyLinks,!0).style(\"fill\",\"none\");var f=c.selectAll(\".\"+Nu.cn.sankeyLink).data(function(b){var p=b.graph.links;return p.filter(function(k){return k.value}).map(jZt.bind(null,b))},$k);f.enter().append(\"path\").classed(Nu.cn.sankeyLink,!0).call($We,u,i.linkEvents),f.style(\"stroke\",function(b){return XJ(b)?sw.tinyRGB(D5(b.linkLineColor)):b.tinyColorHue}).style(\"stroke-opacity\",function(b){return XJ(b)?sw.opacity(b.linkLineColor):b.tinyColorAlpha}).style(\"fill\",function(b){return b.tinyColorHue}).style(\"fill-opacity\",function(b){return b.tinyColorAlpha}).style(\"stroke-width\",function(b){return XJ(b)?b.linkLineWidth:1}).attr(\"d\",JJ()),f.style(\"opacity\",function(){return e._context.staticPlot||o||s?1:0}).transition().ease(Nu.ease).duration(Nu.duration).style(\"opacity\",1),f.exit().transition().ease(Nu.ease).duration(Nu.duration).style(\"opacity\",0).remove();var h=u.selectAll(\".\"+Nu.cn.sankeyNodeSet).data(E7,$k);h.enter().append(\"g\").classed(Nu.cn.sankeyNodeSet,!0),h.style(\"cursor\",function(b){switch(b.arrangement){case\"fixed\":return\"default\";case\"perpendicular\":return\"ns-resize\";default:return\"move\"}});var d=h.selectAll(\".\"+Nu.cn.sankeyNode).data(function(b){var p=b.graph.nodes;return QZt(p),p.map(XZt.bind(null,b))},$k);d.enter().append(\"g\").classed(Nu.cn.sankeyNode,!0).call(ZJ).style(\"opacity\",function(b){return(e._context.staticPlot||o)&&!b.partOfGroup?1:0}),d.call($We,u,i.nodeEvents).call(YZt,f,i,e),d.transition().ease(Nu.ease).duration(Nu.duration).call(ZJ).style(\"opacity\",function(b){return b.partOfGroup?0:1}),d.exit().transition().ease(Nu.ease).duration(Nu.duration).style(\"opacity\",0).remove();var v=d.selectAll(\".\"+Nu.cn.nodeRect).data(E7);v.enter().append(\"rect\").classed(Nu.cn.nodeRect,!0).call(KWe),v.style(\"stroke-width\",function(b){return b.nodeLineWidth}).style(\"stroke\",function(b){return 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gXe=ye(lw=>{\"use strict\";var nYt=mc().overrideAll,aYt=Id().getModuleCalcData,oYt=e$(),sYt=B1(),lYt=Sg(),uYt=yv(),cYt=Of().prepSelect,t$=Dr(),fYt=qa(),C7=\"sankey\";lw.name=C7;lw.baseLayoutAttrOverrides=nYt({hoverlabel:sYt.hoverlabel},\"plot\",\"nested\");lw.plot=function(e){var t=aYt(e.calcdata,C7)[0];oYt(e,t),lw.updateFx(e)};lw.clean=function(e,t,r,n){var i=n._has&&n._has(C7),a=t._has&&t._has(C7);i&&!a&&(n._paperdiv.selectAll(\".sankey\").remove(),n._paperdiv.selectAll(\".bgsankey\").remove())};lw.updateFx=function(e){for(var t=0;t<e._fullData.length;t++)hYt(e,t)};function hYt(e,t){var r=e._fullData[t],n=e._fullLayout,i=n.dragmode,a=n.dragmode===\"pan\"?\"move\":\"crosshair\",o=r._bgRect;if(o&&!(i===\"pan\"||i===\"zoom\")){lYt(o,a);var 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n$=ye((u2r,PXe)=>{\"use strict\";PXe.exports={defaultNumberFontSize:80,bulletNumberDomainSize:.25,bulletPadding:.025,innerRadius:.75,valueThickness:.5,titlePadding:5,horizontalPadding:10}});var DXe=ye((c2r,RXe)=>{\"use strict\";var ty=Dr(),I7=i$(),mYt=Cc().defaults,IXe=vl(),yYt=Yd(),P7=n$(),_Yt=bb(),xYt=M3(),bYt=e_(),wYt=t_();function TYt(e,t,r,n){function i(x,C){return ty.coerce(e,t,I7,x,C)}mYt(t,n,i),i(\"mode\"),t._hasNumber=t.mode.indexOf(\"number\")!==-1,t._hasDelta=t.mode.indexOf(\"delta\")!==-1,t._hasGauge=t.mode.indexOf(\"gauge\")!==-1;var a=i(\"value\");t._range=[0,typeof a==\"number\"?1.5*a:1];var o=new Array(2),s;if(t._hasNumber){i(\"number.valueformat\");var l=ty.extendFlat({},n.font);l.size=void 0,ty.coerceFont(i,\"number.font\",l),t.number.font.size===void 0&&(t.number.font.size=P7.defaultNumberFontSize,o[0]=!0),i(\"number.prefix\"),i(\"number.suffix\"),s=t.number.font.size}var u;if(t._hasDelta){var c=ty.extendFlat({},n.font);c.size=void 0,ty.coerceFont(i,\"delta.font\",c),t.delta.font.size===void 0&&(t.delta.font.size=(t._hasNumber?.5:1)*(s||P7.defaultNumberFontSize),o[1]=!0),i(\"delta.reference\",t.value),i(\"delta.relative\"),i(\"delta.valueformat\",t.delta.relative?\"2%\":\"\"),i(\"delta.increasing.symbol\"),i(\"delta.increasing.color\"),i(\"delta.decreasing.symbol\"),i(\"delta.decreasing.color\"),i(\"delta.position\"),i(\"delta.prefix\"),i(\"delta.suffix\"),u=t.delta.font.size}t._scaleNumbers=(!t._hasNumber||o[0])&&(!t._hasDelta||o[1])||!1;var f=ty.extendFlat({},n.font);f.size=.25*(s||u||P7.defaultNumberFontSize),ty.coerceFont(i,\"title.font\",f),i(\"title.text\");var h,d,v,_;function b(x,C){return ty.coerce(h,d,I7.gauge,x,C)}function p(x,C){return ty.coerce(v,_,I7.gauge.axis,x,C)}if(t._hasGauge){h=e.gauge,h||(h={}),d=IXe.newContainer(t,\"gauge\"),b(\"shape\");var k=t._isBullet=t.gauge.shape===\"bullet\";k||i(\"title.align\",\"center\");var E=t._isAngular=t.gauge.shape===\"angular\";E||i(\"align\",\"center\"),b(\"bgcolor\",n.paper_bgcolor),b(\"borderwidth\"),b(\"bordercolor\"),b(\"bar.color\"),b(\"bar.line.color\"),b(\"bar.line.width\");var S=P7.valueThickness*(t.gauge.shape===\"bullet\"?.5:1);b(\"bar.thickness\",S),yYt(h,d,{name:\"steps\",handleItemDefaults:AYt}),b(\"threshold.value\"),b(\"threshold.thickness\"),b(\"threshold.line.width\"),b(\"threshold.line.color\"),v={},h&&(v=h.axis||{}),_=IXe.newContainer(d,\"axis\"),p(\"visible\"),t._range=p(\"range\",t._range);var L={font:n.font,noAutotickangles:!0,outerTicks:!0,noTicklabelshift:!0,noTicklabelstandoff:!0};_Yt(v,_,p,\"linear\"),wYt(v,_,p,\"linear\",L),bYt(v,_,p,\"linear\",L),xYt(v,_,p,L)}else i(\"title.align\",\"center\"),i(\"align\",\"center\"),t._isAngular=t._isBullet=!1;t._length=null}function AYt(e,t){function r(n,i){return ty.coerce(e,t,I7.gauge.steps,n,i)}r(\"color\"),r(\"line.color\"),r(\"line.width\"),r(\"range\"),r(\"thickness\")}RXe.exports={supplyDefaults:TYt}});var zXe=ye((f2r,FXe)=>{\"use strict\";function SYt(e,t){var r=[],n=t.value;typeof t._lastValue!=\"number\"&&(t._lastValue=t.value);var i=t._lastValue,a=i;return t._hasDelta&&typeof t.delta.reference==\"number\"&&(a=t.delta.reference),r[0]={y:n,lastY:i,delta:n-a,relativeDelta:(n-a)/a},r}FXe.exports={calc:SYt}});var VXe=ye((h2r,UXe)=>{\"use strict\";var dw=Oa(),MYt=(F2(),ob(D2)).interpolate,OXe=(F2(),ob(D2)).interpolateNumber,Ex=Dr(),EYt=Ex.strScale,rC=Ex.strTranslate,kYt=Ex.rad2deg,CYt=$h().MID_SHIFT,hw=So(),uw=n$(),D7=ru(),sv=ho(),LYt=i4(),PYt=uI(),IYt=Rd(),q5=ka(),a$={left:\"start\",center:\"middle\",right:\"end\"},cw={left:0,center:.5,right:1},qXe=/[yzafpnµmkMGTPEZY]/;function iC(e){return e&&e.duration>0}UXe.exports=function(t,r,n,i){var a=t._fullLayout,o;iC(n)&&i&&(o=i()),Ex.makeTraceGroups(a._indicatorlayer,r,\"trace\").each(function(s){var l=s[0],u=l.trace,c=dw.select(this),f=u._hasGauge,h=u._isAngular,d=u._isBullet,v=u.domain,_={w:a._size.w*(v.x[1]-v.x[0]),h:a._size.h*(v.y[1]-v.y[0]),l:a._size.l+a._size.w*v.x[0],r:a._size.r+a._size.w*(1-v.x[1]),t:a._size.t+a._size.h*(1-v.y[1]),b:a._size.b+a._size.h*v.y[0]},b=_.l+_.w/2,p=_.t+_.h/2,k=Math.min(_.w/2,_.h),E=uw.innerRadius*k,S,L,x,C=u.align||\"center\";if(L=p,!f)S=_.l+cw[C]*_.w,x=function(j){return BXe(j,_.w,_.h)};else if(h&&(S=b,L=p+k/2,x=function(j){return OYt(j,.9*E)}),d){var M=uw.bulletPadding,g=1-uw.bulletNumberDomainSize+M;S=_.l+(g+(1-g)*cw[C])*_.w,x=function(j){return BXe(j,(uw.bulletNumberDomainSize-M)*_.w,_.h)}}FYt(t,c,s,{numbersX:S,numbersY:L,numbersScaler:x,transitionOpts:n,onComplete:o});var P,T;f&&(P={range:u.gauge.axis.range,color:u.gauge.bgcolor,line:{color:u.gauge.bordercolor,width:0},thickness:1},T={range:u.gauge.axis.range,color:\"rgba(0, 0, 0, 0)\",line:{color:u.gauge.bordercolor,width:u.gauge.borderwidth},thickness:1});var z=c.selectAll(\"g.angular\").data(h?s:[]);z.exit().remove();var O=c.selectAll(\"g.angularaxis\").data(h?s:[]);O.exit().remove(),h&&DYt(t,c,s,{radius:k,innerRadius:E,gauge:z,layer:O,size:_,gaugeBg:P,gaugeOutline:T,transitionOpts:n,onComplete:o});var V=c.selectAll(\"g.bullet\").data(d?s:[]);V.exit().remove();var G=c.selectAll(\"g.bulletaxis\").data(d?s:[]);G.exit().remove(),d&&RYt(t,c,s,{gauge:V,layer:G,size:_,gaugeBg:P,gaugeOutline:T,transitionOpts:n,onComplete:o});var Z=c.selectAll(\"text.title\").data(s);Z.exit().remove(),Z.enter().append(\"text\").classed(\"title\",!0),Z.attr(\"text-anchor\",function(){return d?a$.right:a$[u.title.align]}).text(u.title.text).call(hw.font,u.title.font).call(D7.convertToTspans,t),Z.attr(\"transform\",function(){var j=_.l+_.w*cw[u.title.align],N,H=uw.titlePadding,te=hw.bBox(Z.node());if(f){if(h)if(u.gauge.axis.visible){var oe=hw.bBox(O.node());N=oe.top-H-te.bottom}else N=_.t+_.h/2-k/2-te.bottom-H;d&&(N=L-(te.top+te.bottom)/2,j=_.l-uw.bulletPadding*_.w)}else N=u._numbersTop-H-te.bottom;return rC(j,N)})})};function RYt(e,t,r,n){var i=r[0].trace,a=n.gauge,o=n.layer,s=n.gaugeBg,l=n.gaugeOutline,u=n.size,c=i.domain,f=n.transitionOpts,h=n.onComplete,d,v,_,b,p;a.enter().append(\"g\").classed(\"bullet\",!0),a.attr(\"transform\",rC(u.l,u.t)),o.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),o.selectAll(\"g.xbulletaxistick,path,text\").remove();var k=u.h,E=i.gauge.bar.thickness*k,S=c.x[0],L=c.x[0]+(c.x[1]-c.x[0])*(i._hasNumber||i._hasDelta?1-uw.bulletNumberDomainSize:1);d=tC(e,i.gauge.axis),d._id=\"xbulletaxis\",d.domain=[S,L],d.setScale(),v=sv.calcTicks(d),_=sv.makeTransTickFn(d),b=sv.getTickSigns(d)[2],p=u.t+u.h,d.visible&&(sv.drawTicks(e,d,{vals:d.ticks===\"inside\"?sv.clipEnds(d,v):v,layer:o,path:sv.makeTickPath(d,p,b),transFn:_}),sv.drawLabels(e,d,{vals:v,layer:o,transFn:_,labelFns:sv.makeLabelFns(d,p)}));function x(O){O.attr(\"width\",function(V){return Math.max(0,d.c2p(V.range[1])-d.c2p(V.range[0]))}).attr(\"x\",function(V){return d.c2p(V.range[0])}).attr(\"y\",function(V){return .5*(1-V.thickness)*k}).attr(\"height\",function(V){return V.thickness*k})}var C=[s].concat(i.gauge.steps),M=a.selectAll(\"g.bg-bullet\").data(C);M.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),M.select(\"rect\").call(x).call(fw),M.exit().remove();var g=a.selectAll(\"g.value-bullet\").data([i.gauge.bar]);g.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),g.select(\"rect\").attr(\"height\",E).attr(\"y\",(k-E)/2).call(fw),iC(f)?g.select(\"rect\").transition().duration(f.duration).ease(f.easing).each(\"end\",function(){h&&h()}).each(\"interrupt\",function(){h&&h()}).attr(\"width\",Math.max(0,d.c2p(Math.min(i.gauge.axis.range[1],r[0].y)))):g.select(\"rect\").attr(\"width\",typeof r[0].y==\"number\"?Math.max(0,d.c2p(Math.min(i.gauge.axis.range[1],r[0].y))):0),g.exit().remove();var P=r.filter(function(){return i.gauge.threshold.value||i.gauge.threshold.value===0}),T=a.selectAll(\"g.threshold-bullet\").data(P);T.enter().append(\"g\").classed(\"threshold-bullet\",!0).append(\"line\"),T.select(\"line\").attr(\"x1\",d.c2p(i.gauge.threshold.value)).attr(\"x2\",d.c2p(i.gauge.threshold.value)).attr(\"y1\",(1-i.gauge.threshold.thickness)/2*k).attr(\"y2\",(1-(1-i.gauge.threshold.thickness)/2)*k).call(q5.stroke,i.gauge.threshold.line.color).style(\"stroke-width\",i.gauge.threshold.line.width),T.exit().remove();var z=a.selectAll(\"g.gauge-outline\").data([l]);z.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"rect\"),z.select(\"rect\").call(x).call(fw),z.exit().remove()}function DYt(e,t,r,n){var i=r[0].trace,a=n.size,o=n.radius,s=n.innerRadius,l=n.gaugeBg,u=n.gaugeOutline,c=[a.l+a.w/2,a.t+a.h/2+o/2],f=n.gauge,h=n.layer,d=n.transitionOpts,v=n.onComplete,_=Math.PI/2;function b(_e){var Ee=i.gauge.axis.range[0],Ce=i.gauge.axis.range[1],me=(_e-Ee)/(Ce-Ee)*Math.PI-_;return me<-_?-_:me>_?_:me}function p(_e){return dw.svg.arc().innerRadius((s+o)/2-_e/2*(o-s)).outerRadius((s+o)/2+_e/2*(o-s)).startAngle(-_)}function k(_e){_e.attr(\"d\",function(Ee){return p(Ee.thickness).startAngle(b(Ee.range[0])).endAngle(b(Ee.range[1]))()})}var E,S,L,x;f.enter().append(\"g\").classed(\"angular\",!0),f.attr(\"transform\",rC(c[0],c[1])),h.enter().append(\"g\").classed(\"angularaxis\",!0).classed(\"crisp\",!0),h.selectAll(\"g.xangularaxistick,path,text\").remove(),E=tC(e,i.gauge.axis),E.type=\"linear\",E.range=i.gauge.axis.range,E._id=\"xangularaxis\",E.ticklabeloverflow=\"allow\",E.setScale();var C=function(_e){return(E.range[0]-_e.x)/(E.range[1]-E.range[0])*Math.PI+Math.PI},M={},g=sv.makeLabelFns(E,0),P=g.labelStandoff;M.xFn=function(_e){var Ee=C(_e);return Math.cos(Ee)*P},M.yFn=function(_e){var Ee=C(_e),Ce=Math.sin(Ee)>0?.2:1;return-Math.sin(Ee)*(P+_e.fontSize*Ce)+Math.abs(Math.cos(Ee))*(_e.fontSize*CYt)},M.anchorFn=function(_e){var Ee=C(_e),Ce=Math.cos(Ee);return Math.abs(Ce)<.1?\"middle\":Ce>0?\"start\":\"end\"},M.heightFn=function(_e,Ee,Ce){var me=C(_e);return-.5*(1+Math.sin(me))*Ce};var T=function(_e){return rC(c[0]+o*Math.cos(_e),c[1]-o*Math.sin(_e))};L=function(_e){return T(C(_e))};var z=function(_e){var Ee=C(_e);return T(Ee)+\"rotate(\"+-kYt(Ee)+\")\"};if(S=sv.calcTicks(E),x=sv.getTickSigns(E)[2],E.visible){x=E.ticks===\"inside\"?-1:1;var O=(E.linewidth||1)/2;sv.drawTicks(e,E,{vals:S,layer:h,path:\"M\"+x*O+\",0h\"+x*E.ticklen,transFn:z}),sv.drawLabels(e,E,{vals:S,layer:h,transFn:L,labelFns:M})}var V=[l].concat(i.gauge.steps),G=f.selectAll(\"g.bg-arc\").data(V);G.enter().append(\"g\").classed(\"bg-arc\",!0).append(\"path\"),G.select(\"path\").call(k).call(fw),G.exit().remove();var Z=p(i.gauge.bar.thickness),j=f.selectAll(\"g.value-arc\").data([i.gauge.bar]);j.enter().append(\"g\").classed(\"value-arc\",!0).append(\"path\");var N=j.select(\"path\");iC(d)?(N.transition().duration(d.duration).ease(d.easing).each(\"end\",function(){v&&v()}).each(\"interrupt\",function(){v&&v()}).attrTween(\"d\",zYt(Z,b(r[0].lastY),b(r[0].y))),i._lastValue=r[0].y):N.attr(\"d\",typeof r[0].y==\"number\"?Z.endAngle(b(r[0].y)):\"M0,0Z\"),N.call(fw),j.exit().remove(),V=[];var H=i.gauge.threshold.value;(H||H===0)&&V.push({range:[H,H],color:i.gauge.threshold.color,line:{color:i.gauge.threshold.line.color,width:i.gauge.threshold.line.width},thickness:i.gauge.threshold.thickness});var te=f.selectAll(\"g.threshold-arc\").data(V);te.enter().append(\"g\").classed(\"threshold-arc\",!0).append(\"path\"),te.select(\"path\").call(k).call(fw),te.exit().remove();var oe=f.selectAll(\"g.gauge-outline\").data([u]);oe.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),oe.select(\"path\").call(k).call(fw),oe.exit().remove()}function FYt(e,t,r,n){var i=r[0].trace,a=n.numbersX,o=n.numbersY,s=i.align||\"center\",l=a$[s],u=n.transitionOpts,c=n.onComplete,f=Ex.ensureSingle(t,\"g\",\"numbers\"),h,d,v,_=[];i._hasNumber&&_.push(\"number\"),i._hasDelta&&(_.push(\"delta\"),i.delta.position===\"left\"&&_.reverse());var b=f.selectAll(\"text\").data(_);b.enter().append(\"text\"),b.attr(\"text-anchor\",function(){return l}).attr(\"class\",function(T){return T}).attr(\"x\",null).attr(\"y\",null).attr(\"dx\",null).attr(\"dy\",null),b.exit().remove();function p(T,z,O,V){if(T.match(\"s\")&&O>=0!=V>=0&&!z(O).slice(-1).match(qXe)&&!z(V).slice(-1).match(qXe)){var G=T.slice().replace(\"s\",\"f\").replace(/\\d+/,function(j){return parseInt(j)-1}),Z=tC(e,{tickformat:G});return function(j){return Math.abs(j)<1?sv.tickText(Z,j).text:z(j)}}else return z}function k(){var T=tC(e,{tickformat:i.number.valueformat},i._range);T.setScale(),sv.prepTicks(T);var z=function(j){return sv.tickText(T,j).text},O=i.number.suffix,V=i.number.prefix,G=f.select(\"text.number\");function Z(){var j=typeof r[0].y==\"number\"?V+z(r[0].y)+O:\"-\";G.text(j).call(hw.font,i.number.font).call(D7.convertToTspans,e)}return iC(u)?G.transition().duration(u.duration).ease(u.easing).each(\"end\",function(){Z(),c&&c()}).each(\"interrupt\",function(){Z(),c&&c()}).attrTween(\"text\",function(){var j=dw.select(this),N=OXe(r[0].lastY,r[0].y);i._lastValue=r[0].y;var H=p(i.number.valueformat,z,r[0].lastY,r[0].y);return function(te){j.text(V+H(N(te))+O)}}):Z(),h=NXe(V+z(r[0].y)+O,i.number.font,l,e),G}function E(){var T=tC(e,{tickformat:i.delta.valueformat},i._range);T.setScale(),sv.prepTicks(T);var z=function(te){return sv.tickText(T,te).text},O=i.delta.suffix,V=i.delta.prefix,G=function(te){var oe=i.delta.relative?te.relativeDelta:te.delta;return oe},Z=function(te,oe){return te===0||typeof te!=\"number\"||isNaN(te)?\"-\":(te>0?i.delta.increasing.symbol:i.delta.decreasing.symbol)+V+oe(te)+O},j=function(te){return te.delta>=0?i.delta.increasing.color:i.delta.decreasing.color};i._deltaLastValue===void 0&&(i._deltaLastValue=G(r[0]));var N=f.select(\"text.delta\");N.call(hw.font,i.delta.font).call(q5.fill,j({delta:i._deltaLastValue}));function H(){N.text(Z(G(r[0]),z)).call(q5.fill,j(r[0])).call(D7.convertToTspans,e)}return iC(u)?N.transition().duration(u.duration).ease(u.easing).tween(\"text\",function(){var te=dw.select(this),oe=G(r[0]),_e=i._deltaLastValue,Ee=p(i.delta.valueformat,z,_e,oe),Ce=OXe(_e,oe);return i._deltaLastValue=oe,function(me){te.text(Z(Ce(me),Ee)),te.call(q5.fill,j({delta:Ce(me)}))}}).each(\"end\",function(){H(),c&&c()}).each(\"interrupt\",function(){H(),c&&c()}):H(),d=NXe(Z(G(r[0]),z),i.delta.font,l,e),N}var S=i.mode+i.align,L;if(i._hasDelta&&(L=E(),S+=i.delta.position+i.delta.font.size+i.delta.font.family+i.delta.valueformat,S+=i.delta.increasing.symbol+i.delta.decreasing.symbol,v=d),i._hasNumber&&(k(),S+=i.number.font.size+i.number.font.family+i.number.valueformat+i.number.suffix+i.number.prefix,v=h),i._hasDelta&&i._hasNumber){var x=[(h.left+h.right)/2,(h.top+h.bottom)/2],C=[(d.left+d.right)/2,(d.top+d.bottom)/2],M,g,P=.75*i.delta.font.size;i.delta.position===\"left\"&&(M=R7(i,\"deltaPos\",0,-1*(h.width*cw[i.align]+d.width*(1-cw[i.align])+P),S,Math.min),g=x[1]-C[1],v={width:h.width+d.width+P,height:Math.max(h.height,d.height),left:d.left+M,right:h.right,top:Math.min(h.top,d.top+g),bottom:Math.max(h.bottom,d.bottom+g)}),i.delta.position===\"right\"&&(M=R7(i,\"deltaPos\",0,h.width*(1-cw[i.align])+d.width*cw[i.align]+P,S,Math.max),g=x[1]-C[1],v={width:h.width+d.width+P,height:Math.max(h.height,d.height),left:h.left,right:d.right+M,top:Math.min(h.top,d.top+g),bottom:Math.max(h.bottom,d.bottom+g)}),i.delta.position===\"bottom\"&&(M=null,g=d.height,v={width:Math.max(h.width,d.width),height:h.height+d.height,left:Math.min(h.left,d.left),right:Math.max(h.right,d.right),top:h.bottom-h.height,bottom:h.bottom+d.height}),i.delta.position===\"top\"&&(M=null,g=h.top,v={width:Math.max(h.width,d.width),height:h.height+d.height,left:Math.min(h.left,d.left),right:Math.max(h.right,d.right),top:h.bottom-h.height-d.height,bottom:h.bottom}),L.attr({dx:M,dy:g})}(i._hasNumber||i._hasDelta)&&f.attr(\"transform\",function(){var T=n.numbersScaler(v);S+=T[2];var z=R7(i,\"numbersScale\",1,T[0],S,Math.min),O;i._scaleNumbers||(z=1),i._isAngular?O=o-z*v.bottom:O=o-z*(v.top+v.bottom)/2,i._numbersTop=z*v.top+O;var V=v[s];s===\"center\"&&(V=(v.left+v.right)/2);var G=a-z*V;return G=R7(i,\"numbersTranslate\",0,G,S,Math.max),rC(G,O)+EYt(z)})}function fw(e){e.each(function(t){q5.stroke(dw.select(this),t.line.color)}).each(function(t){q5.fill(dw.select(this),t.color)}).style(\"stroke-width\",function(t){return t.line.width})}function zYt(e,t,r){return function(){var n=MYt(t,r);return function(i){return e.endAngle(n(i))()}}}function tC(e,t,r){var n=e._fullLayout,i=Ex.extendFlat({type:\"linear\",ticks:\"outside\",range:r,showline:!0},t),a={type:\"linear\",_id:\"x\"+t._id},o={letter:\"x\",font:n.font,noAutotickangles:!0,noHover:!0,noTickson:!0};function s(l,u){return Ex.coerce(i,a,IYt,l,u)}return LYt(i,a,s,o,n),PYt(i,a,s,o),a}function BXe(e,t,r){var n=Math.min(t/e.width,r/e.height);return[n,e,t+\"x\"+r]}function OYt(e,t){var 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P=h(g),T=Math.cos(P),z=Math.sin(P);return\"M\"+[s+o*T,l-o*z]+\"L\"+[s+a*T,l-a*z]},p=vp.makeLabelFns(c,0),k=p.labelStandoff,E={};E.xFn=function(g){var P=h(g);return Math.cos(P)*k},E.yFn=function(g){var P=h(g),T=Math.sin(P)>0?.2:1;return-Math.sin(P)*(k+g.fontSize*T)+Math.abs(Math.cos(P))*(g.fontSize*j$t)},E.anchorFn=function(g){var P=h(g),T=Math.cos(P);return Math.abs(T)<.1?\"middle\":T>0?\"start\":\"end\"},E.heightFn=function(g,P,T){var z=h(g);return-.5*(1+Math.sin(z))*T};var S=GJe(u);r.angularTickLayout!==S&&(i[\"angular-axis\"].selectAll(\".\"+c._id+\"tick\").remove(),r.angularTickLayout=S);var L=f?[1/0].concat(c.tickvals||[]).map(function(g){return vp.tickText(c,g,!0,!1)}):vp.calcTicks(c);f&&(L[0].text=\"\\u221E\",L[0].fontSize*=1.75);var x;if(t.gridshape===\"linear\"?(x=L.map(h),Xc.angleDelta(x[0],x[1])<0&&(x=x.slice().reverse())):x=null,r.vangles=x,c.type===\"category\"&&(L=L.filter(function(g){return Xc.isAngleInsideSector(h(g),r.sectorInRad)})),c.visible){var 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t=this,r=t.isSmith,n=t.gd,i=t.layers,a=e._zoomlayer,o=Lx.MINZOOM,s=Lx.OFFEDGE,l=t.radius,u=t.innerRadius,c=t.cx,f=t.cy,h=t.cxx,d=t.cyy,v=t.sectorInRad,_=t.vangles,b=t.radialAxis,p=_1.clampTiny,k=_1.findXYatLength,E=_1.findEnclosingVertexAngles,S=Lx.cornerHalfWidth,L=Lx.cornerLen/2,x,C,M=y1.makeDragger(i,\"path\",\"maindrag\",e.dragmode===!1?\"none\":\"crosshair\");gw.select(M).attr(\"d\",t.pathSubplot()).attr(\"transform\",xd(c,f)),M.onmousemove=function(ce){OJe.hover(n,ce,t.id),n._fullLayout._lasthover=M,n._fullLayout._hoversubplot=t.id},M.onmouseout=function(ce){n._dragging||v9.unhover(n,ce)};var g={element:M,gd:n,subplot:t.id,plotinfo:{id:t.id,xaxis:t.xaxis,yaxis:t.yaxis},xaxes:[t.xaxis],yaxes:[t.yaxis]},P,T,z,O,V,G,Z,j,N;function H(ce,Ze){return Math.sqrt(ce*ce+Ze*Ze)}function te(ce,Ze){return H(ce-h,Ze-d)}function oe(ce,Ze){return Math.atan2(d-Ze,ce-h)}function _e(ce,Ze){return[ce*Math.cos(Ze),ce*Math.sin(-Ze)]}function Ee(ce,Ze){if(ce===0)return t.pathSector(2*S);var 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O(){g!==null?yw.call(\"_guiRelayout\",i,n.id+\".radialaxis.angle\",g):P!==null&&yw.call(\"_guiRelayout\",i,n.id+\".radialaxis.range[\"+r+\"]\",P)}function V(Z,j){if(r!==0){var N=E+Z,H=S+j;g=Math.atan2(u-H,N-l),n.vangles&&(g=HJe(g,n.vangles)),g=mw(g);var te=xd(l,u)+iy(-g);a[\"radial-axis\"].attr(\"transform\",te),a[\"radial-line\"].select(\"line\").attr(\"transform\",te);var oe=n.gd._fullLayout,_e=oe[n.id];n.updateRadialAxisTitle(oe,_e,g)}}function G(Z,j){var N=Xc.dot([Z,-j],[Math.cos(d),Math.sin(d)]);if(P=p-k*N,k>0!=(r?P>_:P<b)){P=null;return}var H=i._fullLayout,te=H[n.id];c.range[r]=P,c._rl[r]=P,n.updateRadialAxis(H,te),n.xaxis.setRange(),n.xaxis.setScale(),n.yaxis.setRange(),n.yaxis.setScale();var oe=!1;for(var _e in n.traceHash){var Ee=n.traceHash[_e],Ce=Xc.filterVisible(Ee),me=Ee[0][0].trace._module;me.plot(i,n,Ce,te),yw.traceIs(_e,\"gl\")&&Ce.length&&(oe=!0)}oe&&(BJe(i),NJe(i))}C.prepFn=function(){M=null,g=null,P=null,C.moveFn=T,C.doneFn=O,X$(i)},C.clampFn=function(Z,j){return 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i=r.layers.frontplot.select(\"g.scatterlayer\"),a=r.xaxis,o=r.yaxis,s={xaxis:a,yaxis:o,plot:r.framework,layerClipId:r._hasClipOnAxisFalse?r.clipIds.forTraces:null},l=0;l<n.length;l++)for(var u=n[l],c=0;c<u.length;c++){c===0&&(u[0].trace._xA=a,u[0].trace._yA=o);var f=u[c],h=f.real;if(h===FQe)f.x=f.y=FQe;else{var d=Atr([h,f.imag]);f.x=d[0],f.y=d[1]}}wtr(t,s,n,i)}});var NQe=ye((w3r,BQe)=>{\"use strict\";var Str=fT();function Mtr(e,t,r,n){var i=Str(e,t,r,n);if(!(!i||i[0].index===!1)){var a=i[0];if(a.index===void 0)return i;var o=e.subplot,s=a.cd[a.index],l=a.trace;if(o.isPtInside(s))return a.xLabelVal=void 0,a.yLabelVal=void 0,qQe(s,l,o,a),a.hovertemplate=l.hovertemplate,i}}function qQe(e,t,r,n){var i=r.radialAxis,a=r.angularAxis;i._hovertitle=\"real\",a._hovertitle=\"imag\";var o={};o[t.subplot]={_subplot:r};var s=t._module.formatLabels(e,t,o);n.realLabel=s.realLabel,n.imagLabel=s.imagLabel;var l=e.hi||t.hoverinfo,u=[];function c(h,d){u.push(h._hovertitle+\": \"+d)}if(!t.hovertemplate){var f=l.split(\"+\");f.indexOf(\"all\")!==-1&&(f=[\"real\",\"imag\",\"text\"]),f.indexOf(\"real\")!==-1&&c(i,n.realLabel),f.indexOf(\"imag\")!==-1&&c(a,n.imagLabel),f.indexOf(\"text\")!==-1&&n.text&&(u.push(n.text),delete n.text),n.extraText=u.join(\"<br>\")}}BQe.exports={hoverPoints:Mtr,makeHoverPointText:qQe}});var VQe=ye((T3r,UQe)=>{\"use strict\";UQe.exports={moduleType:\"trace\",name:\"scattersmith\",basePlotModule:TQe(),categories:[\"smith\",\"symbols\",\"showLegend\",\"scatter-like\"],attributes:sQ(),supplyDefaults:kQe(),colorbar:$d(),formatLabels:PQe(),calc:DQe(),plot:OQe(),style:op().style,styleOnSelect:op().styleOnSelect,hoverPoints:NQe().hoverPoints,selectPoints:hT(),meta:{}}});var HQe=ye((A3r,GQe)=>{\"use strict\";GQe.exports=VQe()});var kv=ye((S3r,WQe)=>{var L9=Oh();function jQe(){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={}}L9(jQe.prototype,{instance:function(e,t){e=(e||\"gregorian\").toLowerCase(),t=t||\"\";var r=this._localCals[e+\"-\"+t];if(!r&&this.calendars[e]&&(r=new this.calendars[e](t),this._localCals[e+\"-\"+t]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,e);return r},newDate:function(e,t,r,n,i){return n=(e!=null&&e.year?e.calendar():typeof n==\"string\"?this.instance(n,i):n)||this.instance(),n.newDate(e,t,r)},substituteDigits:function(e){return function(t){return(t+\"\").replace(/[0-9]/g,function(r){return e[r]})}},substituteChineseDigits:function(e,t){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(a===0?\"\":e[a]+t[i])+n,i++,r=Math.floor(r/10)}return n.indexOf(e[1]+t[1])===0&&(n=n.substr(1)),n||e[0]}}});function lQ(e,t,r,n){if(this._calendar=e,this._year=t,this._month=r,this._day=n,this._calendar._validateLevel===0&&!this._calendar.isValid(this._year,this._month,this._day))throw(Gs.local.invalidDate||Gs.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function C9(e,t){return e=\"\"+e,\"000000\".substring(0,t-e.length)+e}L9(lQ.prototype,{newDate:function(e,t,r){return this._calendar.newDate(e==null?this:e,t,r)},year:function(e){return arguments.length===0?this._year:this.set(e,\"y\")},month:function(e){return arguments.length===0?this._month:this.set(e,\"m\")},day:function(e){return arguments.length===0?this._day:this.set(e,\"d\")},date:function(e,t,r){if(!this._calendar.isValid(e,t,r))throw(Gs.local.invalidDate||Gs.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=e,this._month=t,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(e,t){return this._calendar.add(this,e,t)},set:function(e,t){return this._calendar.set(this,e,t)},compareTo:function(e){if(this._calendar.name!==e._calendar.name)throw(Gs.local.differentCalendars||Gs.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,e._calendar.local.name);var t=this._year!==e._year?this._year-e._year:this._month!==e._month?this.monthOfYear()-e.monthOfYear():this._day-e._day;return t===0?0:t<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(e){return this._calendar.fromJD(e)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(e){return this._calendar.fromJSDate(e)},toString:function(){return(this.year()<0?\"-\":\"\")+C9(Math.abs(this.year()),4)+\"-\"+C9(this.month(),2)+\"-\"+C9(this.day(),2)}});function uQ(){this.shortYearCutoff=\"+10\"}L9(uQ.prototype,{_validateLevel:0,newDate:function(e,t,r){return e==null?this.today():(e.year&&(this._validate(e,t,r,Gs.local.invalidDate||Gs.regionalOptions[\"\"].invalidDate),r=e.day(),t=e.month(),e=e.year()),new lQ(this,e,t,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(e){var t=this._validate(e,this.minMonth,this.minDay,Gs.local.invalidYear||Gs.regionalOptions[\"\"].invalidYear);return t.year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(e){var t=this._validate(e,this.minMonth,this.minDay,Gs.local.invalidYear||Gs.regionalOptions[\"\"].invalidYear);return(t.year()<0?\"-\":\"\")+C9(Math.abs(t.year()),4)},monthsInYear:function(e){return this._validate(e,this.minMonth,this.minDay,Gs.local.invalidYear||Gs.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(e,t){var r=this._validate(e,t,this.minDay,Gs.local.invalidMonth||Gs.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(e,t){var r=(t+this.firstMonth-2*this.minMonth)%this.monthsInYear(e)+this.minMonth;return this._validate(e,r,this.minDay,Gs.local.invalidMonth||Gs.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(e){var t=this._validate(e,this.minMonth,this.minDay,Gs.local.invalidYear||Gs.regionalOptions[\"\"].invalidYear);return this.leapYear(t)?366:365},dayOfYear:function(e,t,r){var n=this._validate(e,t,r,Gs.local.invalidDate||Gs.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(e,t,r){var n=this._validate(e,t,r,Gs.local.invalidDate||Gs.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(e,t,r){return this._validate(e,t,r,Gs.local.invalidDate||Gs.regionalOptions[\"\"].invalidDate),{}},add:function(e,t,r){return this._validate(e,this.minMonth,this.minDay,Gs.local.invalidDate||Gs.regionalOptions[\"\"].invalidDate),this._correctAdd(e,this._add(e,t,r),t,r)},_add:function(e,t,r){if(this._validateLevel++,r===\"d\"||r===\"w\"){var n=e.toJD()+t*(r===\"w\"?this.daysInWeek():1),i=e.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=e.year()+(r===\"y\"?t:0),o=e.monthOfYear()+(r===\"m\"?t:0),i=e.day(),s=function(c){for(;o<c.minMonth;)a--,o+=c.monthsInYear(a);for(var f=c.monthsInYear(a);o>f-1+c.minMonth;)a++,o-=f,f=c.monthsInYear(a)};r===\"y\"?(e.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,e.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):r===\"m\"&&(s(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var l=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,l}catch(u){throw this._validateLevel--,u}},_correctAdd:function(e,t,r,n){if(!this.hasYearZero&&(n===\"y\"||n===\"m\")&&(t[0]===0||e.year()>0!=t[0]>0)){var i={y:[1,1,\"y\"],m:[1,this.monthsInYear(-1),\"m\"],w:[this.daysInWeek(),this.daysInYear(-1),\"d\"],d:[1,this.daysInYear(-1),\"d\"]}[n],a=r<0?-1:1;t=this._add(e,r*i[0]+a*i[1],i[2])}return e.date(t[0],t[1],t[2])},set:function(e,t,r){this._validate(e,this.minMonth,this.minDay,Gs.local.invalidDate||Gs.regionalOptions[\"\"].invalidDate);var n=r===\"y\"?t:e.year(),i=r===\"m\"?t:e.month(),a=r===\"d\"?t:e.day();return(r===\"y\"||r===\"m\")&&(a=Math.min(a,this.daysInMonth(n,i))),e.date(n,i,a)},isValid:function(e,t,r){this._validateLevel++;var n=this.hasYearZero||e!==0;if(n){var i=this.newDate(e,t,this.minDay);n=t>=this.minMonth&&t-this.minMonth<this.monthsInYear(i)&&r>=this.minDay&&r-this.minDay<this.daysInMonth(i)}return this._validateLevel--,n},toJSDate:function(e,t,r){var n=this._validate(e,t,r,Gs.local.invalidDate||Gs.regionalOptions[\"\"].invalidDate);return Gs.instance().fromJD(this.toJD(n)).toJSDate()},fromJSDate:function(e){return this.fromJD(Gs.instance().fromJSDate(e).toJD())},_validate:function(e,t,r,n){if(e.year){if(this._validateLevel===0&&this.name!==e.calendar().name)throw(Gs.local.differentCalendars||Gs.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this.local.name).replace(/\\{1\\}/,e.calendar().local.name);return e}try{if(this._validateLevel++,this._validateLevel===1&&!this.isValid(e,t,r))throw n.replace(/\\{0\\}/,this.local.name);var i=this.newDate(e,t,r);return this._validateLevel--,i}catch(a){throw this._validateLevel--,a}}});function cQ(e){this.local=this.regionalOptions[e]||this.regionalOptions[\"\"]}cQ.prototype=new uQ;L9(cQ.prototype,{name:\"Gregorian\",jdEpoch:17214255e-1,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Gregorian\",epochs:[\"BCE\",\"CE\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"mm/dd/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(r){var t=this._validate(r,this.minMonth,this.minDay,Gs.local.invalidYear||Gs.regionalOptions[\"\"].invalidYear),r=t.year()+(t.year()<0?1:0);return r%4===0&&(r%100!==0||r%400===0)},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,Gs.local.invalidMonth||Gs.regionalOptions[\"\"].invalidMonth);return this.daysPerMonth[r.month()-1]+(r.month()===2&&this.leapYear(r.year())?1:0)},weekDay:function(e,t,r){return(this.dayOfWeek(e,t,r)||7)<6},toJD:function(e,t,r){var n=this._validate(e,t,r,Gs.local.invalidDate||Gs.regionalOptions[\"\"].invalidDate);e=n.year(),t=n.month(),r=n.day(),e<0&&e++,t<3&&(t+=12,e--);var i=Math.floor(e/100),a=2-i+Math.floor(i/4);return Math.floor(365.25*(e+4716))+Math.floor(30.6001*(t+1))+r+a-1524.5},fromJD:function(e){var t=Math.floor(e+.5),r=Math.floor((t-186721625e-2)/36524.25);r=t+1+r-Math.floor(r/4);var n=r+1524,i=Math.floor((n-122.1)/365.25),a=Math.floor(365.25*i),o=Math.floor((n-a)/30.6001),s=n-a-Math.floor(o*30.6001),l=o-(o>13.5?13:1),u=i-(l>2.5?4716:4715);return u<=0&&u--,this.newDate(u,l,s)},toJSDate:function(e,t,r){var n=this._validate(e,t,r,Gs.local.invalidDate||Gs.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(e){return this.newDate(e.getFullYear(),e.getMonth()+1,e.getDate())}});var Gs=WQe.exports=new jQe;Gs.cdate=lQ;Gs.baseCalendar=uQ;Gs.calendars.gregorian=cQ});var XQe=ye(()=>{var fQ=Oh(),Ud=kv();fQ(Ud.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\"});Ud.local=Ud.regionalOptions[\"\"];fQ(Ud.cdate.prototype,{formatDate:function(e,t){return typeof e!=\"string\"&&(t=e,e=\"\"),this._calendar.formatDate(e||\"\",this,t)}});fQ(Ud.baseCalendar.prototype,{UNIX_EPOCH:Ud.instance().newDate(1970,1,1).toJD(),SECS_PER_DAY:24*60*60,TICKS_EPOCH:Ud.instance().jdEpoch,TICKS_PER_DAY:24*60*60*1e7,ATOM:\"yyyy-mm-dd\",COOKIE:\"D, dd M yyyy\",FULL:\"DD, MM d, yyyy\",ISO_8601:\"yyyy-mm-dd\",JULIAN:\"J\",RFC_822:\"D, d M yy\",RFC_850:\"DD, dd-M-yy\",RFC_1036:\"D, d M yy\",RFC_1123:\"D, d M yyyy\",RFC_2822:\"D, d M yyyy\",RSS:\"D, d M yy\",TICKS:\"!\",TIMESTAMP:\"@\",W3C:\"yyyy-mm-dd\",formatDate:function(e,t,r){if(typeof e!=\"string\"&&(r=t,t=e,e=\"\"),!t)return\"\";if(t.calendar()!==this)throw Ud.local.invalidFormat||Ud.regionalOptions[\"\"].invalidFormat;e=e||this.local.dateFormat,r=r||{};for(var n=r.dayNamesShort||this.local.dayNamesShort,i=r.dayNames||this.local.dayNames,a=r.monthNumbers||this.local.monthNumbers,o=r.monthNamesShort||this.local.monthNamesShort,s=r.monthNames||this.local.monthNames,l=r.calculateWeek||this.local.calculateWeek,u=function(S,L){for(var x=1;E+x<e.length&&e.charAt(E+x)===S;)x++;return E+=x-1,Math.floor(x/(L||1))>1},c=function(S,L,x,C){var M=\"\"+L;if(u(S,C))for(;M.length<x;)M=\"0\"+M;return M},f=function(S,L,x,C){return u(S)?C[L]:x[L]},h=this,d=function(S){return typeof a==\"function\"?a.call(h,S,u(\"m\")):b(c(\"m\",S.month(),2))},v=function(S,L){return L?typeof s==\"function\"?s.call(h,S):s[S.month()-h.minMonth]:typeof o==\"function\"?o.call(h,S):o[S.month()-h.minMonth]},_=this.local.digits,b=function(S){return r.localNumbers&&_?_(S):S},p=\"\",k=!1,E=0;E<e.length;E++)if(k)e.charAt(E)===\"'\"&&!u(\"'\")?k=!1:p+=e.charAt(E);else switch(e.charAt(E)){case\"d\":p+=b(c(\"d\",t.day(),2));break;case\"D\":p+=f(\"D\",t.dayOfWeek(),n,i);break;case\"o\":p+=c(\"o\",t.dayOfYear(),3);break;case\"w\":p+=c(\"w\",t.weekOfYear(),2);break;case\"m\":p+=d(t);break;case\"M\":p+=v(t,u(\"M\"));break;case\"y\":p+=u(\"y\",2)?t.year():(t.year()%100<10?\"0\":\"\")+t.year()%100;break;case\"Y\":u(\"Y\",2),p+=t.formatYear();break;case\"J\":p+=t.toJD();break;case\"@\":p+=(t.toJD()-this.UNIX_EPOCH)*this.SECS_PER_DAY;break;case\"!\":p+=(t.toJD()-this.TICKS_EPOCH)*this.TICKS_PER_DAY;break;case\"'\":u(\"'\")?p+=\"'\":k=!0;break;default:p+=e.charAt(E)}return p},parseDate:function(e,t,r){if(t==null)throw Ud.local.invalidArguments||Ud.regionalOptions[\"\"].invalidArguments;if(t=typeof t==\"object\"?t.toString():t+\"\",t===\"\")return null;e=e||this.local.dateFormat,r=r||{};var n=r.shortYearCutoff||this.shortYearCutoff;n=typeof n!=\"string\"?n:this.today().year()%100+parseInt(n,10);for(var i=r.dayNamesShort||this.local.dayNamesShort,a=r.dayNames||this.local.dayNames,o=r.parseMonth||this.local.parseMonth,s=r.monthNumbers||this.local.monthNumbers,l=r.monthNamesShort||this.local.monthNamesShort,u=r.monthNames||this.local.monthNames,c=-1,f=-1,h=-1,d=-1,v=-1,_=!1,b=!1,p=function(z,O){for(var V=1;g+V<e.length&&e.charAt(g+V)===z;)V++;return g+=V-1,Math.floor(V/(O||1))>1},k=function(z,O){var V=p(z,O),G=[2,3,V?4:2,V?4:2,10,11,20][\"oyYJ@!\".indexOf(z)+1],Z=new RegExp(\"^-?\\\\d{1,\"+G+\"}\"),j=t.substring(M).match(Z);if(!j)throw(Ud.local.missingNumberAt||Ud.regionalOptions[\"\"].missingNumberAt).replace(/\\{0\\}/,M);return M+=j[0].length,parseInt(j[0],10)},E=this,S=function(){if(typeof s==\"function\"){p(\"m\");var z=s.call(E,t.substring(M));return M+=z.length,z}return k(\"m\")},L=function(z,O,V,G){for(var Z=p(z,G)?V:O,j=0;j<Z.length;j++)if(t.substr(M,Z[j].length).toLowerCase()===Z[j].toLowerCase())return M+=Z[j].length,j+E.minMonth;throw(Ud.local.unknownNameAt||Ud.regionalOptions[\"\"].unknownNameAt).replace(/\\{0\\}/,M)},x=function(){if(typeof u==\"function\"){var z=p(\"M\")?u.call(E,t.substring(M)):l.call(E,t.substring(M));return M+=z.length,z}return L(\"M\",l,u)},C=function(){if(t.charAt(M)!==e.charAt(g))throw(Ud.local.unexpectedLiteralAt||Ud.regionalOptions[\"\"].unexpectedLiteralAt).replace(/\\{0\\}/,M);M++},M=0,g=0;g<e.length;g++)if(b)e.charAt(g)===\"'\"&&!p(\"'\")?b=!1:C();else switch(e.charAt(g)){case\"d\":d=k(\"d\");break;case\"D\":L(\"D\",i,a);break;case\"o\":v=k(\"o\");break;case\"w\":k(\"w\");break;case\"m\":h=S();break;case\"M\":h=x();break;case\"y\":var P=g;_=!p(\"y\",2),g=P,f=k(\"y\",2);break;case\"Y\":f=k(\"Y\",2);break;case\"J\":c=k(\"J\")+.5,t.charAt(M)===\".\"&&(M++,k(\"J\"));break;case\"@\":c=k(\"@\")/this.SECS_PER_DAY+this.UNIX_EPOCH;break;case\"!\":c=k(\"!\")/this.TICKS_PER_DAY+this.TICKS_EPOCH;break;case\"*\":M=t.length;break;case\"'\":p(\"'\")?C():b=!0;break;default:C()}if(M<t.length)throw Ud.local.unexpectedText||Ud.regionalOptions[\"\"].unexpectedText;if(f===-1?f=this.today().year():f<100&&_&&(f+=n===-1?1900:this.today().year()-this.today().year()%100-(f<=n?0:100)),typeof h==\"string\"&&(h=o.call(this,f,h)),v>-1){h=1,d=v;for(var T=this.daysInMonth(f,h);d>T;T=this.daysInMonth(f,h))h++,d-=T}return c>-1?this.fromJD(c):this.newDate(f,h,d)},determineDate:function(e,t,r,n,i){r&&typeof r!=\"object\"&&(i=n,n=r,r=null),typeof n!=\"string\"&&(i=n,n=\"\");var a=this,o=function(s){try{return a.parseDate(n,s,i)}catch(f){}s=s.toLowerCase();for(var l=(s.match(/^c/)&&r?r.newDate():null)||a.today(),u=/([+-]?[0-9]+)\\s*(d|w|m|y)?/g,c=u.exec(s);c;)l.add(parseInt(c[1],10),c[2]||\"d\"),c=u.exec(s);return l};return t=t?t.newDate():null,e=e==null?t:typeof e==\"string\"?o(e):typeof e==\"number\"?isNaN(e)||e===1/0||e===-1/0?t:a.today().add(e,\"d\"):a.newDate(e),e}})});var ZQe=ye(()=>{var Fx=kv(),Etr=Oh(),hQ=Fx.instance();function P9(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}P9.prototype=new Fx.baseCalendar;Etr(P9.prototype,{name:\"Chinese\",jdEpoch:17214255e-1,hasYearZero:!1,minMonth:0,firstMonth:0,minDay:1,regionalOptions:{\"\":{name:\"Chinese\",epochs:[\"BEC\",\"EC\"],monthNumbers:function(e,t){if(typeof e==\"string\"){var r=e.match(Ctr);return r?r[0]:\"\"}var n=this._validateYear(e),i=e.month(),a=\"\"+this.toChineseMonth(n,i);return t&&a.length<2&&(a=\"0\"+a),this.isIntercalaryMonth(n,i)&&(a+=\"i\"),a},monthNames:function(e){if(typeof e==\"string\"){var t=e.match(Ltr);return t?t[0]:\"\"}var r=this._validateYear(e),n=e.month(),i=this.toChineseMonth(r,n),a=[\"\\u4E00\\u6708\",\"\\u4E8C\\u6708\",\"\\u4E09\\u6708\",\"\\u56DB\\u6708\",\"\\u4E94\\u6708\",\"\\u516D\\u6708\",\"\\u4E03\\u6708\",\"\\u516B\\u6708\",\"\\u4E5D\\u6708\",\"\\u5341\\u6708\",\"\\u5341\\u4E00\\u6708\",\"\\u5341\\u4E8C\\u6708\"][i-1];return this.isIntercalaryMonth(r,n)&&(a=\"\\u95F0\"+a),a},monthNamesShort:function(e){if(typeof e==\"string\"){var t=e.match(Ptr);return t?t[0]:\"\"}var r=this._validateYear(e),n=e.month(),i=this.toChineseMonth(r,n),a=[\"\\u4E00\",\"\\u4E8C\",\"\\u4E09\",\"\\u56DB\",\"\\u4E94\",\"\\u516D\",\"\\u4E03\",\"\\u516B\",\"\\u4E5D\",\"\\u5341\",\"\\u5341\\u4E00\",\"\\u5341\\u4E8C\"][i-1];return this.isIntercalaryMonth(r,n)&&(a=\"\\u95F0\"+a),a},parseMonth:function(e,t){e=this._validateYear(e);var r=parseInt(t),n;if(isNaN(r))t[0]===\"\\u95F0\"&&(n=!0,t=t.substring(1)),t[t.length-1]===\"\\u6708\"&&(t=t.substring(0,t.length-1)),r=1+[\"\\u4E00\",\"\\u4E8C\",\"\\u4E09\",\"\\u56DB\",\"\\u4E94\",\"\\u516D\",\"\\u4E03\",\"\\u516B\",\"\\u4E5D\",\"\\u5341\",\"\\u5341\\u4E00\",\"\\u5341\\u4E8C\"].indexOf(t);else{var i=t[t.length-1];n=i===\"i\"||i===\"I\"}var a=this.toMonthIndex(e,r,n);return a},dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:1,isRTL:!1}},_validateYear:function(e,t){if(e.year&&(e=e.year()),typeof e!=\"number\"||e<1888||e>2111)throw t.replace(/\\{0\\}/,this.local.name);return e},toMonthIndex:function(e,t,r){var n=this.intercalaryMonth(e),i=r&&t!==n;if(i||t<1||t>12)throw Fx.local.invalidMonth.replace(/\\{0\\}/,this.local.name);var a;return n?!r&&t<=n?a=t-1:a=t:a=t-1,a},toChineseMonth:function(e,t){e.year&&(e=e.year(),t=e.month());var r=this.intercalaryMonth(e),n=r?12:11;if(t<0||t>n)throw Fx.local.invalidMonth.replace(/\\{0\\}/,this.local.name);var i;return r?t<r?i=t+1:i=t:i=t+1,i},intercalaryMonth:function(e){e=this._validateYear(e);var t=zx[e-zx[0]],r=t>>13;return r},isIntercalaryMonth:function(e,t){e.year&&(e=e.year(),t=e.month());var r=this.intercalaryMonth(e);return!!r&&r===t},leapYear:function(e){return this.intercalaryMonth(e)!==0},weekOfYear:function(e,t,r){var n=this._validateYear(e,Fx.local.invalidyear),i=Ox[n-Ox[0]],a=i>>9&4095,o=i>>5&15,s=i&31,l;l=hQ.newDate(a,o,s),l.add(4-(l.dayOfWeek()||7),\"d\");var u=this.toJD(e,t,r)-l.toJD();return 1+Math.floor(u/7)},monthsInYear:function(e){return this.leapYear(e)?13:12},daysInMonth:function(e,t){e.year&&(t=e.month(),e=e.year()),e=this._validateYear(e);var r=zx[e-zx[0]],n=r>>13,i=n?12:11;if(t>i)throw Fx.local.invalidMonth.replace(/\\{0\\}/,this.local.name);var a=r&1<<12-t?30:29;return a},weekDay:function(e,t,r){return(this.dayOfWeek(e,t,r)||7)<6},toJD:function(e,t,r){var n=this._validate(e,a,r,Fx.local.invalidDate);e=this._validateYear(n.year()),t=n.month(),r=n.day();var i=this.isIntercalaryMonth(e,t),a=this.toChineseMonth(e,t),o=Rtr(e,a,r,i);return hQ.toJD(o.year,o.month,o.day)},fromJD:function(e){var t=hQ.fromJD(e),r=Itr(t.year(),t.month(),t.day()),n=this.toMonthIndex(r.year,r.month,r.isIntercalary);return this.newDate(r.year,n,r.day)},fromString:function(e){var t=e.match(ktr),r=this._validateYear(+t[1]),n=+t[2],i=!!t[3],a=this.toMonthIndex(r,n,i),o=+t[4];return this.newDate(r,a,o)},add:function(e,t,r){var n=e.year(),i=e.month(),a=this.isIntercalaryMonth(n,i),o=this.toChineseMonth(n,i),s=Object.getPrototypeOf(P9.prototype).add.call(this,e,t,r);if(r===\"y\"){var l=s.year(),u=s.month(),c=this.isIntercalaryMonth(l,o),f=a&&c?this.toMonthIndex(l,o,!0):this.toMonthIndex(l,o,!1);f!==u&&s.month(f)}return s}});var ktr=/^\\s*(-?\\d\\d\\d\\d|\\d\\d)[-/](\\d?\\d)([iI]?)[-/](\\d?\\d)/m,Ctr=/^\\d?\\d[iI]?/m,Ltr=/^闰?十?[一二三四五六七八九]?月/m,Ptr=/^闰?十?[一二三四五六七八九]?/m;Fx.calendars.chinese=P9;var 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Itr(e,t,r,n){var i,a;if(typeof e==\"object\")i=e,a=t||{};else{var o=typeof e==\"number\"&&e>=1888&&e<=2111;if(!o)throw new Error(\"Solar year outside range 1888-2111\");var s=typeof t==\"number\"&&t>=1&&t<=12;if(!s)throw new Error(\"Solar month outside range 1 - 12\");var l=typeof r==\"number\"&&r>=1&&r<=31;if(!l)throw new Error(\"Solar day outside range 1 - 31\");i={year:e,month:t,day:r},a=n||{}}var u=Ox[i.year-Ox[0]],c=i.year<<9|i.month<<5|i.day;a.year=c>=u?i.year:i.year-1,u=Ox[a.year-Ox[0]];var f=u>>9&4095,h=u>>5&15,d=u&31,v,_=new Date(f,h-1,d),b=new Date(i.year,i.month-1,i.day);v=Math.round((b-_)/(24*3600*1e3));var p=zx[a.year-zx[0]],k;for(k=0;k<13;k++){var E=p&1<<12-k?30:29;if(v<E)break;v-=E}var S=p>>13;return!S||k<S?(a.isIntercalary=!1,a.month=1+k):k===S?(a.isIntercalary=!0,a.month=k):(a.isIntercalary=!1,a.month=k),a.day=1+v,a}function Rtr(e,t,r,n,i){var a,o;if(typeof e==\"object\")o=e,a=t||{};else{var s=typeof e==\"number\"&&e>=1888&&e<=2111;if(!s)throw new Error(\"Lunar year 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bw.baseCalendar;Dtr(dQ.prototype,{name:\"Coptic\",jdEpoch:18250295e-1,daysPerMonth:[30,30,30,30,30,30,30,30,30,30,30,30,5],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Coptic\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Thout\",\"Paopi\",\"Hathor\",\"Koiak\",\"Tobi\",\"Meshir\",\"Paremhat\",\"Paremoude\",\"Pashons\",\"Paoni\",\"Epip\",\"Mesori\",\"Pi Kogi Enavot\"],monthNamesShort:[\"Tho\",\"Pao\",\"Hath\",\"Koi\",\"Tob\",\"Mesh\",\"Pat\",\"Pad\",\"Pash\",\"Pao\",\"Epi\",\"Meso\",\"PiK\"],dayNames:[\"Tkyriaka\",\"Pesnau\",\"Pshoment\",\"Peftoou\",\"Ptiou\",\"Psoou\",\"Psabbaton\"],dayNamesShort:[\"Tky\",\"Pes\",\"Psh\",\"Pef\",\"Pti\",\"Pso\",\"Psa\"],dayNamesMin:[\"Tk\",\"Pes\",\"Psh\",\"Pef\",\"Pt\",\"Pso\",\"Psa\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(r){var t=this._validate(r,this.minMonth,this.minDay,bw.local.invalidYear),r=t.year()+(t.year()<0?1:0);return r%4===3||r%4===-1},monthsInYear:function(e){return this._validate(e,this.minMonth,this.minDay,bw.local.invalidYear||bw.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,bw.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(r.month()===13&&this.leapYear(r.year())?1:0)},weekDay:function(e,t,r){return(this.dayOfWeek(e,t,r)||7)<6},toJD:function(e,t,r){var n=this._validate(e,t,r,bw.local.invalidDate);return e=n.year(),e<0&&e++,n.day()+(n.month()-1)*30+(e-1)*365+Math.floor(e/4)+this.jdEpoch-1},fromJD:function(e){var t=Math.floor(e)+.5-this.jdEpoch,r=Math.floor((t-Math.floor((t+366)/1461))/365)+1;r<=0&&r--,t=Math.floor(e)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(t/30)+1,i=t-(n-1)*30+1;return this.newDate(r,n,i)}});bw.calendars.coptic=dQ});var KQe=ye(()=>{var x1=kv(),Ftr=Oh();function vQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}vQ.prototype=new x1.baseCalendar;Ftr(vQ.prototype,{name:\"Discworld\",jdEpoch:17214255e-1,daysPerMonth:[16,32,32,32,32,32,32,32,32,32,32,32,32],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Discworld\",epochs:[\"BUC\",\"UC\"],monthNames:[\"Ick\",\"Offle\",\"February\",\"March\",\"April\",\"May\",\"June\",\"Grune\",\"August\",\"Spune\",\"Sektober\",\"Ember\",\"December\"],monthNamesShort:[\"Ick\",\"Off\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Gru\",\"Aug\",\"Spu\",\"Sek\",\"Emb\",\"Dec\"],dayNames:[\"Sunday\",\"Octeday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Oct\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Oc\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:2,isRTL:!1}},leapYear:function(e){return this._validate(e,this.minMonth,this.minDay,x1.local.invalidYear),!1},monthsInYear:function(e){return this._validate(e,this.minMonth,this.minDay,x1.local.invalidYear),13},daysInYear:function(e){return this._validate(e,this.minMonth,this.minDay,x1.local.invalidYear),400},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/8)+1},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,x1.local.invalidMonth);return this.daysPerMonth[r.month()-1]},daysInWeek:function(){return 8},dayOfWeek:function(e,t,r){var n=this._validate(e,t,r,x1.local.invalidDate);return(n.day()+1)%8},weekDay:function(e,t,r){var n=this.dayOfWeek(e,t,r);return n>=2&&n<=6},extraInfo:function(e,t,r){var n=this._validate(e,t,r,x1.local.invalidDate);return{century:ztr[Math.floor((n.year()-1)/100)+1]||\"\"}},toJD:function(e,t,r){var n=this._validate(e,t,r,x1.local.invalidDate);return e=n.year()+(n.year()<0?1:0),t=n.month(),r=n.day(),r+(t>1?16:0)+(t>2?(t-2)*32:0)+(e-1)*400+this.jdEpoch-1},fromJD:function(e){e=Math.floor(e+.5)-Math.floor(this.jdEpoch)-1;var t=Math.floor(e/400)+1;e-=(t-1)*400,e+=e>15?16:0;var r=Math.floor(e/32)+1,n=e-(r-1)*32+1;return this.newDate(t<=0?t-1:t,r,n)}});var ztr={20:\"Fruitbat\",21:\"Anchovy\"};x1.calendars.discworld=vQ});var JQe=ye(()=>{var ww=kv(),Otr=Oh();function pQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}pQ.prototype=new ww.baseCalendar;Otr(pQ.prototype,{name:\"Ethiopian\",jdEpoch:17242205e-1,daysPerMonth:[30,30,30,30,30,30,30,30,30,30,30,30,5],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Ethiopian\",epochs:[\"BEE\",\"EE\"],monthNames:[\"Meskerem\",\"Tikemet\",\"Hidar\",\"Tahesas\",\"Tir\",\"Yekatit\",\"Megabit\",\"Miazia\",\"Genbot\",\"Sene\",\"Hamle\",\"Nehase\",\"Pagume\"],monthNamesShort:[\"Mes\",\"Tik\",\"Hid\",\"Tah\",\"Tir\",\"Yek\",\"Meg\",\"Mia\",\"Gen\",\"Sen\",\"Ham\",\"Neh\",\"Pag\"],dayNames:[\"Ehud\",\"Segno\",\"Maksegno\",\"Irob\",\"Hamus\",\"Arb\",\"Kidame\"],dayNamesShort:[\"Ehu\",\"Seg\",\"Mak\",\"Iro\",\"Ham\",\"Arb\",\"Kid\"],dayNamesMin:[\"Eh\",\"Se\",\"Ma\",\"Ir\",\"Ha\",\"Ar\",\"Ki\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(r){var t=this._validate(r,this.minMonth,this.minDay,ww.local.invalidYear),r=t.year()+(t.year()<0?1:0);return r%4===3||r%4===-1},monthsInYear:function(e){return 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gQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}gQ.prototype=new qx.baseCalendar;qtr(gQ.prototype,{name:\"Hebrew\",jdEpoch:347995.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29,29],hasYearZero:!1,minMonth:1,firstMonth:7,minDay:1,regionalOptions:{\"\":{name:\"Hebrew\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Nisan\",\"Iyar\",\"Sivan\",\"Tammuz\",\"Av\",\"Elul\",\"Tishrei\",\"Cheshvan\",\"Kislev\",\"Tevet\",\"Shevat\",\"Adar\",\"Adar II\"],monthNamesShort:[\"Nis\",\"Iya\",\"Siv\",\"Tam\",\"Av\",\"Elu\",\"Tis\",\"Che\",\"Kis\",\"Tev\",\"She\",\"Ada\",\"Ad2\"],dayNames:[\"Yom Rishon\",\"Yom Sheni\",\"Yom Shlishi\",\"Yom Revi'i\",\"Yom Chamishi\",\"Yom Shishi\",\"Yom Shabbat\"],dayNamesShort:[\"Ris\",\"She\",\"Shl\",\"Rev\",\"Cha\",\"Shi\",\"Sha\"],dayNamesMin:[\"Ri\",\"She\",\"Shl\",\"Re\",\"Ch\",\"Shi\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(e){var t=this._validate(e,this.minMonth,this.minDay,qx.local.invalidYear);return this._leapYear(t.year())},_leapYear:function(e){return e=e<0?e+1:e,I9(e*7+1,19)<7},monthsInYear:function(e){return this._validate(e,this.minMonth,this.minDay,qx.local.invalidYear),this._leapYear(e.year?e.year():e)?13:12},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(e){var t=this._validate(e,this.minMonth,this.minDay,qx.local.invalidYear);return e=t.year(),this.toJD(e===-1?1:e+1,7,1)-this.toJD(e,7,1)},daysInMonth:function(e,t){return e.year&&(t=e.month(),e=e.year()),this._validate(e,t,this.minDay,qx.local.invalidMonth),t===12&&this.leapYear(e)||t===8&&I9(this.daysInYear(e),10)===5?30:t===9&&I9(this.daysInYear(e),10)===3?29:this.daysPerMonth[t-1]},weekDay:function(e,t,r){return this.dayOfWeek(e,t,r)!==6},extraInfo:function(e,t,r){var n=this._validate(e,t,r,qx.local.invalidDate);return{yearType:(this.leapYear(n)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(n)%10-3]}},toJD:function(e,t,r){var n=this._validate(e,t,r,qx.local.invalidDate);e=n.year(),t=n.month(),r=n.day();var i=e<=0?e+1:e,a=this.jdEpoch+this._delay1(i)+this._delay2(i)+r+1;if(t<7){for(var o=7;o<=this.monthsInYear(e);o++)a+=this.daysInMonth(e,o);for(var o=1;o<t;o++)a+=this.daysInMonth(e,o)}else for(var o=7;o<t;o++)a+=this.daysInMonth(e,o);return a},_delay1:function(e){var t=Math.floor((235*e-234)/19),r=12084+13753*t,n=t*29+Math.floor(r/25920);return I9(3*(n+1),7)<3&&n++,n},_delay2:function(e){var t=this._delay1(e-1),r=this._delay1(e),n=this._delay1(e+1);return n-r===356?2:r-t===382?1:0},fromJD:function(e){e=Math.floor(e)+.5;for(var t=Math.floor((e-this.jdEpoch)*98496/35975351)-1;e>=this.toJD(t===-1?1:t+1,7,1);)t++;for(var r=e<this.toJD(t,1,1)?7:1;e>this.toJD(t,r,this.daysInMonth(t,r));)r++;var n=e-this.toJD(t,r,1)+1;return this.newDate(t,r,n)}});function I9(e,t){return e-t*Math.floor(e/t)}qx.calendars.hebrew=gQ});var QQe=ye(()=>{var dC=kv(),Btr=Oh();function mQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}mQ.prototype=new dC.baseCalendar;Btr(mQ.prototype,{name:\"Islamic\",jdEpoch:19484395e-1,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Islamic\",epochs:[\"BH\",\"AH\"],monthNames:[\"Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' al-thani\",\"Jumada al-awwal\",\"Jumada al-thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-ahad\",\"Yawm al-ithnayn\",\"Yawm ath-thulaathaa'\",\"Yawm al-arbi'aa'\",\"Yawm al-kham\\u012Bs\",\"Yawm al-jum'a\",\"Yawm 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t=Math.floor((30*(e-this.jdEpoch)+10646)/10631);t=t<=0?t-1:t;var r=Math.min(12,Math.ceil((e-29-this.toJD(t,1,1))/29.5)+1),n=e-this.toJD(t,r,1)+1;return this.newDate(t,r,n)}});dC.calendars.islamic=mQ});var eet=ye(()=>{var vC=kv(),Ntr=Oh();function yQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}yQ.prototype=new vC.baseCalendar;Ntr(yQ.prototype,{name:\"Julian\",jdEpoch:17214235e-1,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Julian\",epochs:[\"BC\",\"AD\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"mm/dd/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(r){var t=this._validate(r,this.minMonth,this.minDay,vC.local.invalidYear),r=t.year()<0?t.year()+1:t.year();return r%4===0},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,vC.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(r.month()===2&&this.leapYear(r.year())?1:0)},weekDay:function(e,t,r){return(this.dayOfWeek(e,t,r)||7)<6},toJD:function(e,t,r){var n=this._validate(e,t,r,vC.local.invalidDate);return e=n.year(),t=n.month(),r=n.day(),e<0&&e++,t<=2&&(e--,t+=12),Math.floor(365.25*(e+4716))+Math.floor(30.6001*(t+1))+r-1524.5},fromJD:function(e){var t=Math.floor(e+.5),r=t+1524,n=Math.floor((r-122.1)/365.25),i=Math.floor(365.25*n),a=Math.floor((r-i)/30.6001),o=a-Math.floor(a<14?1:13),s=n-Math.floor(o>2?4716:4715),l=r-i-Math.floor(30.6001*a);return s<=0&&s--,this.newDate(s,o,l)}});vC.calendars.julian=yQ});var ret=ye(()=>{var ug=kv(),Utr=Oh();function xQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}xQ.prototype=new ug.baseCalendar;Utr(xQ.prototype,{name:\"Mayan\",jdEpoch:584282.5,hasYearZero:!0,minMonth:0,firstMonth:0,minDay:0,regionalOptions:{\"\":{name:\"Mayan\",epochs:[\"\",\"\"],monthNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],monthNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],dayNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesMin:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],digits:null,dateFormat:\"YYYY.m.d\",firstDay:0,isRTL:!1,haabMonths:[\"Pop\",\"Uo\",\"Zip\",\"Zotz\",\"Tzec\",\"Xul\",\"Yaxkin\",\"Mol\",\"Chen\",\"Yax\",\"Zac\",\"Ceh\",\"Mac\",\"Kankin\",\"Muan\",\"Pax\",\"Kayab\",\"Cumku\",\"Uayeb\"],tzolkinMonths:[\"Imix\",\"Ik\",\"Akbal\",\"Kan\",\"Chicchan\",\"Cimi\",\"Manik\",\"Lamat\",\"Muluc\",\"Oc\",\"Chuen\",\"Eb\",\"Ben\",\"Ix\",\"Men\",\"Cib\",\"Caban\",\"Etznab\",\"Cauac\",\"Ahau\"]}},leapYear:function(e){return this._validate(e,this.minMonth,this.minDay,ug.local.invalidYear),!1},formatYear:function(e){var t=this._validate(e,this.minMonth,this.minDay,ug.local.invalidYear);e=t.year();var r=Math.floor(e/400);e=e%400,e+=e<0?400:0;var n=Math.floor(e/20);return r+\".\"+n+\".\"+e%20},forYear:function(e){if(e=e.split(\".\"),e.length<3)throw\"Invalid Mayan year\";for(var t=0,r=0;r<e.length;r++){var n=parseInt(e[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";t=t*20+n}return t},monthsInYear:function(e){return this._validate(e,this.minMonth,this.minDay,ug.local.invalidYear),18},weekOfYear:function(e,t,r){return this._validate(e,t,r,ug.local.invalidDate),0},daysInYear:function(e){return this._validate(e,this.minMonth,this.minDay,ug.local.invalidYear),360},daysInMonth:function(e,t){return this._validate(e,t,this.minDay,ug.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(e,t,r){var n=this._validate(e,t,r,ug.local.invalidDate);return n.day()},weekDay:function(e,t,r){return this._validate(e,t,r,ug.local.invalidDate),!0},extraInfo:function(e,t,r){var n=this._validate(e,t,r,ug.local.invalidDate),i=n.toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(e){e-=this.jdEpoch;var t=_Q(e+8+17*20,365);return[Math.floor(t/20)+1,_Q(t,20)]},_toTzolkin:function(e){return e-=this.jdEpoch,[tet(e+20,20),tet(e+4,13)]},toJD:function(e,t,r){var n=this._validate(e,t,r,ug.local.invalidDate);return n.day()+n.month()*20+n.year()*360+this.jdEpoch},fromJD:function(e){e=Math.floor(e)+.5-this.jdEpoch;var t=Math.floor(e/360);e=e%360,e+=e<0?360:0;var r=Math.floor(e/20),n=e%20;return this.newDate(t,r,n)}});function _Q(e,t){return e-t*Math.floor(e/t)}function tet(e,t){return _Q(e-1,t)+1}ug.calendars.mayan=xQ});var net=ye(()=>{var Tw=kv(),Vtr=Oh();function bQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}bQ.prototype=new Tw.baseCalendar;var iet=Tw.instance(\"gregorian\");Vtr(bQ.prototype,{name:\"Nanakshahi\",jdEpoch:22576735e-1,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(e){var t=this._validate(e,this.minMonth,this.minDay,Tw.local.invalidYear||Tw.regionalOptions[\"\"].invalidYear);return iet.leapYear(t.year()+(t.year()<1?1:0)+1469)},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,Tw.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(r.month()===12&&this.leapYear(r.year())?1:0)},weekDay:function(e,t,r){return(this.dayOfWeek(e,t,r)||7)<6},toJD:function(i,t,r){var n=this._validate(i,t,r,Tw.local.invalidMonth),i=n.year();i<0&&i++;for(var a=n.day(),o=1;o<n.month();o++)a+=this.daysPerMonth[o-1];return a+iet.toJD(i+1468,3,13)},fromJD:function(e){e=Math.floor(e+.5);for(var t=Math.floor((e-(this.jdEpoch-1))/366);e>=this.toJD(t+1,1,1);)t++;for(var r=e-Math.floor(this.toJD(t,1,1)+.5)+1,n=1;r>this.daysInMonth(t,n);)r-=this.daysInMonth(t,n),n++;return this.newDate(t,n,r)}});Tw.calendars.nanakshahi=bQ});var aet=ye(()=>{var Aw=kv(),Gtr=Oh();function wQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}wQ.prototype=new Aw.baseCalendar;Gtr(wQ.prototype,{name:\"Nepali\",jdEpoch:17007095e-1,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(e){return 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l=e-(o>9||o===9&&r>=this.NEPALI_CALENDAR_DATA[s][0]?56:57);for(t!==9&&(a=r,o--);o!==9;)o<=0&&(o=12,s--),a+=this.NEPALI_CALENDAR_DATA[s][o],o--;return t===9?(a+=r-this.NEPALI_CALENDAR_DATA[s][0],a<0&&(a+=i.daysInYear(l))):a+=this.NEPALI_CALENDAR_DATA[s][9]-this.NEPALI_CALENDAR_DATA[s][0],i.newDate(l,1,1).add(a,\"d\").toJD()},fromJD:function(e){var t=Aw.instance(),r=t.fromJD(e),n=r.year(),i=r.dayOfYear(),a=n+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++,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(e){var t=this.daysPerMonth.slice(0);t.unshift(17);for(var r=e-1;r<e+2;r++)typeof this.NEPALI_CALENDAR_DATA[r]==\"undefined\"&&(this.NEPALI_CALENDAR_DATA[r]=t)},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,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oet=ye(()=>{var rS=kv(),Htr=Oh();function D9(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}function R9(e){var t=e-475;e<0&&t++;var r=.242197,n=r*t,i=r*(t+1),a=n-Math.floor(n),o=i-Math.floor(i);return a>o}D9.prototype=new rS.baseCalendar;Htr(D9.prototype,{name:\"Persian\",jdEpoch:19483205e-1,daysPerMonth:[31,31,31,31,31,31,30,30,30,30,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Persian\",epochs:[\"BP\",\"AP\"],monthNames:[\"Farvardin\",\"Ordibehesht\",\"Khordad\",\"Tir\",\"Mordad\",\"Shahrivar\",\"Mehr\",\"Aban\",\"Azar\",\"Dey\",\"Bahman\",\"Esfand\"],monthNamesShort:[\"Far\",\"Ord\",\"Kho\",\"Tir\",\"Mor\",\"Sha\",\"Meh\",\"Aba\",\"Aza\",\"Dey\",\"Bah\",\"Esf\"],dayNames:[\"Yekshanbeh\",\"Doshanbeh\",\"Seshanbeh\",\"Chah\\u0101rshanbeh\",\"Panjshanbeh\",\"Jom'eh\",\"Shanbeh\"],dayNamesShort:[\"Yek\",\"Do\",\"Se\",\"Cha\",\"Panj\",\"Jom\",\"Sha\"],dayNamesMin:[\"Ye\",\"Do\",\"Se\",\"Ch\",\"Pa\",\"Jo\",\"Sh\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!1}},leapYear:function(e){var t=this._validate(e,this.minMonth,this.minDay,rS.local.invalidYear);return R9(t.year())},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(-((n.dayOfWeek()+1)%7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,rS.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(r.month()===12&&this.leapYear(r.year())?1:0)},weekDay:function(e,t,r){return this.dayOfWeek(e,t,r)!==5},toJD:function(e,t,r){var n=this._validate(e,t,r,rS.local.invalidDate);e=n.year(),t=n.month(),r=n.day();var i=0;if(e>0)for(var a=1;a<e;a++)R9(a)&&i++;else if(e<0)for(var a=e;a<0;a++)R9(a)&&i--;return r+(t<=7?(t-1)*31:(t-1)*30+6)+(e>0?e-1:e)*365+i+this.jdEpoch-1},fromJD:function(e){e=Math.floor(e)+.5;var t=475+(e-this.toJD(475,1,1))/365.242197,r=Math.floor(t);r<=0&&r--,e>this.toJD(r,12,R9(r)?30:29)&&(r++,r===0&&r++);var n=e-this.toJD(r,1,1)+1,i=n<=186?Math.ceil(n/31):Math.ceil((n-6)/30),a=e-this.toJD(r,i,1)+1;return this.newDate(r,i,a)}});rS.calendars.persian=D9;rS.calendars.jalali=D9});var set=ye(()=>{var Sw=kv(),jtr=Oh(),F9=Sw.instance();function TQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}TQ.prototype=new Sw.baseCalendar;jtr(TQ.prototype,{name:\"Taiwan\",jdEpoch:24194025e-1,yearsOffset:1911,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Taiwan\",epochs:[\"BROC\",\"ROC\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:1,isRTL:!1}},leapYear:function(r){var t=this._validate(r,this.minMonth,this.minDay,Sw.local.invalidYear),r=this._t2gYear(t.year());return F9.leapYear(r)},weekOfYear:function(i,t,r){var n=this._validate(i,this.minMonth,this.minDay,Sw.local.invalidYear),i=this._t2gYear(n.year());return F9.weekOfYear(i,n.month(),n.day())},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,Sw.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(r.month()===2&&this.leapYear(r.year())?1:0)},weekDay:function(e,t,r){return(this.dayOfWeek(e,t,r)||7)<6},toJD:function(i,t,r){var n=this._validate(i,t,r,Sw.local.invalidDate),i=this._t2gYear(n.year());return F9.toJD(i,n.month(),n.day())},fromJD:function(e){var t=F9.fromJD(e),r=this._g2tYear(t.year());return this.newDate(r,t.month(),t.day())},_t2gYear:function(e){return e+this.yearsOffset+(e>=-this.yearsOffset&&e<=-1?1:0)},_g2tYear:function(e){return e-this.yearsOffset-(e>=1&&e<=this.yearsOffset?1:0)}});Sw.calendars.taiwan=TQ});var uet=ye(()=>{var Mw=kv(),Wtr=Oh(),z9=Mw.instance();function AQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}AQ.prototype=new Mw.baseCalendar;Wtr(AQ.prototype,{name:\"Thai\",jdEpoch:15230985e-1,yearsOffset:543,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Thai\",epochs:[\"BBE\",\"BE\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(r){var t=this._validate(r,this.minMonth,this.minDay,Mw.local.invalidYear),r=this._t2gYear(t.year());return z9.leapYear(r)},weekOfYear:function(i,t,r){var n=this._validate(i,this.minMonth,this.minDay,Mw.local.invalidYear),i=this._t2gYear(n.year());return z9.weekOfYear(i,n.month(),n.day())},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,Mw.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(r.month()===2&&this.leapYear(r.year())?1:0)},weekDay:function(e,t,r){return(this.dayOfWeek(e,t,r)||7)<6},toJD:function(i,t,r){var n=this._validate(i,t,r,Mw.local.invalidDate),i=this._t2gYear(n.year());return z9.toJD(i,n.month(),n.day())},fromJD:function(e){var t=z9.fromJD(e),r=this._g2tYear(t.year());return this.newDate(r,t.month(),t.day())},_t2gYear:function(e){return e-this.yearsOffset-(e>=1&&e<=this.yearsOffset?1:0)},_g2tYear:function(e){return e+this.yearsOffset+(e>=-this.yearsOffset&&e<=-1?1:0)}});Mw.calendars.thai=AQ});var cet=ye(()=>{var Ew=kv(),Xtr=Oh();function SQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}SQ.prototype=new Ew.baseCalendar;Xtr(SQ.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thal\\u0101th\\u0101\\u2019\",\"Yawm al-Arba\\u2018\\u0101\\u2019\",\"Yawm al-Kham\\u012Bs\",\"Yawm al-Jum\\u2018a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(e){var t=this._validate(e,this.minMonth,this.minDay,Ew.local.invalidYear);return this.daysInYear(t.year())===355},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(e){for(var t=0,r=1;r<=12;r++)t+=this.daysInMonth(e,r);return t},daysInMonth:function(e,t){for(var r=this._validate(e,t,this.minDay,Ew.local.invalidMonth),n=r.toJD()-24e5+.5,i=0,a=0;a<Bx.length;a++){if(Bx[a]>n)return Bx[i]-Bx[i-1];i++}return 30},weekDay:function(e,t,r){return this.dayOfWeek(e,t,r)!==5},toJD:function(e,t,r){var n=this._validate(e,t,r,Ew.local.invalidDate),i=12*(n.year()-1)+n.month()-15292,a=n.day()+Bx[i-1]-1;return a+24e5-.5},fromJD:function(e){for(var t=e-24e5+.5,r=0,n=0;n<Bx.length&&!(Bx[n]>t);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),o=a+1,s=i-12*a,l=t-Bx[r-1]+1;return this.newDate(o,s,l)},isValid:function(e,t,r){var n=Ew.baseCalendar.prototype.isValid.apply(this,arguments);return n&&(e=e.year!=null?e.year:e,n=e>=1276&&e<=1500),n},_validate:function(e,t,r,n){var i=Ew.baseCalendar.prototype._validate.apply(this,arguments);if(i.year<1276||i.year>1500)throw n.replace(/\\{0\\}/,this.local.name);return i}});Ew.calendars.ummalqura=SQ;var 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het=ye((rTr,fet)=>{\"use strict\";fet.exports=kv();XQe();ZQe();YQe();KQe();JQe();$Qe();QQe();eet();ret();net();aet();oet();set();uet();cet()});var _et=ye((iTr,yet)=>{\"use strict\";var vet=het(),pC=Dr(),pet=fs(),Ztr=pet.EPOCHJD,Ytr=pet.ONEDAY,kQ={valType:\"enumerated\",values:pC.sortObjectKeys(vet.calendars),editType:\"calc\",dflt:\"gregorian\"},get=function(e,t,r,n){var i={};return i[r]=kQ,pC.coerce(e,t,i,r,n)},Ktr=function(e,t,r,n){for(var i=0;i<r.length;i++)get(e,t,r[i]+\"calendar\",n.calendar)},Jtr={chinese:\"2000-01-01\",coptic:\"2000-01-01\",discworld:\"2000-01-01\",ethiopian:\"2000-01-01\",hebrew:\"5000-01-01\",islamic:\"1000-01-01\",julian:\"2000-01-01\",mayan:\"5000-01-01\",nanakshahi:\"1000-01-01\",nepali:\"2000-01-01\",persian:\"1000-01-01\",jalali:\"1000-01-01\",taiwan:\"1000-01-01\",thai:\"2000-01-01\",ummalqura:\"1400-01-01\"},$tr={chinese:\"2000-01-02\",coptic:\"2000-01-03\",discworld:\"2000-01-03\",ethiopian:\"2000-01-05\",hebrew:\"5000-01-01\",islamic:\"1000-01-02\",julian:\"2000-01-03\",mayan:\"5000-01-01\",nanakshahi:\"1000-01-05\",nepali:\"2000-01-05\",persian:\"1000-01-01\",jalali:\"1000-01-01\",taiwan:\"1000-01-04\",thai:\"2000-01-04\",ummalqura:\"1400-01-06\"},Qtr={chinese:[\"2000-01-01\",\"2001-01-01\"],coptic:[\"1700-01-01\",\"1701-01-01\"],discworld:[\"1800-01-01\",\"1801-01-01\"],ethiopian:[\"2000-01-01\",\"2001-01-01\"],hebrew:[\"5700-01-01\",\"5701-01-01\"],islamic:[\"1400-01-01\",\"1401-01-01\"],julian:[\"2000-01-01\",\"2001-01-01\"],mayan:[\"5200-01-01\",\"5201-01-01\"],nanakshahi:[\"0500-01-01\",\"0501-01-01\"],nepali:[\"2000-01-01\",\"2001-01-01\"],persian:[\"1400-01-01\",\"1401-01-01\"],jalali:[\"1400-01-01\",\"1401-01-01\"],taiwan:[\"0100-01-01\",\"0101-01-01\"],thai:[\"2500-01-01\",\"2501-01-01\"],ummalqura:[\"1400-01-01\",\"1401-01-01\"]},O9=\"##\",err={d:{0:\"dd\",\"-\":\"d\"},e:{0:\"d\",\"-\":\"d\"},a:{0:\"D\",\"-\":\"D\"},A:{0:\"DD\",\"-\":\"DD\"},j:{0:\"oo\",\"-\":\"o\"},W:{0:\"ww\",\"-\":\"w\"},m:{0:\"mm\",\"-\":\"m\"},b:{0:\"M\",\"-\":\"M\"},B:{0:\"MM\",\"-\":\"MM\"},y:{0:\"yy\",\"-\":\"yy\"},Y:{0:\"yyyy\",\"-\":\"yyyy\"},U:O9,w:O9,c:{0:\"D M d %X yyyy\",\"-\":\"D M d %X yyyy\"},x:{0:\"mm/dd/yyyy\",\"-\":\"mm/dd/yyyy\"}};function trr(e,t,r){for(var n=Math.floor((t+.05)/Ytr)+Ztr,i=met(r).fromJD(n),a=0,o,s,l,u,c;(a=e.indexOf(\"%\",a))!==-1;)o=e.charAt(a+1),o===\"0\"||o===\"-\"||o===\"_\"?(l=3,s=e.charAt(a+2),o===\"_\"&&(o=\"-\")):(s=o,o=\"0\",l=2),u=err[s],u?(u===O9?c=O9:c=i.formatDate(u[o]),e=e.slice(0,a)+c+e.slice(a+l),a+=c.length):a+=l;return e}var det={};function met(e){var t=det[e];return t||(t=det[e]=vet.instance(e),t)}function gC(e){return pC.extendFlat({},kQ,{description:e})}function CQ(e){return\"Sets the calendar system to use with `\"+e+\"` date data.\"}var EQ={xcalendar:gC(CQ(\"x\"))},ny=pC.extendFlat({},EQ,{ycalendar:gC(CQ(\"y\"))}),MQ=pC.extendFlat({},ny,{zcalendar:gC(CQ(\"z\"))}),iS=gC([\"Sets the calendar system to use for `range` and `tick0`\",\"if this is a date axis. This does not set the calendar for\",\"interpreting data on this axis, that's specified in the trace\",\"or via the global `layout.calendar`\"].join(\" \"));yet.exports={moduleType:\"component\",name:\"calendars\",schema:{traces:{scatter:ny,bar:ny,box:ny,heatmap:ny,contour:ny,histogram:ny,histogram2d:ny,histogram2dcontour:ny,scatter3d:MQ,surface:MQ,mesh3d:MQ,scattergl:ny,ohlc:EQ,candlestick:EQ},layout:{calendar:gC([\"Sets the default calendar system to use for interpreting and\",\"displaying dates throughout the plot.\"].join(\" \"))},subplots:{xaxis:{calendar:iS},yaxis:{calendar:iS},scene:{xaxis:{calendar:iS},yaxis:{calendar:iS},zaxis:{calendar:iS}},polar:{radialaxis:{calendar:iS}}}},layoutAttributes:kQ,handleDefaults:get,handleTraceDefaults:Ktr,CANONICAL_SUNDAY:$tr,CANONICAL_TICK:Jtr,DFLTRANGE:Qtr,getCal:met,worldCalFmt:trr}});var bet=ye((nTr,xet)=>{\"use strict\";xet.exports=_et()});var rrr=ye((aTr,Tet)=>{var wet=iye();wet.register([o1e(),X1e(),sxe(),kxe(),Vxe(),qbe(),Jbe(),q2e(),dwe(),Ywe(),z3e(),ZEe(),Oke(),k6e(),gLe(),XLe(),mPe(),VIe(),s8e(),S8e(),O8e(),J8e(),hRe(),kRe(),rFe(),wFe(),BBe(),BNe(),YUe(),bVe(),PGe(),WGe(),gHe(),kje(),Gje(),dWe(),wXe(),WXe(),EZe(),YYe(),_Ke(),NKe(),hJe(),MJe(),S$e(),H$e(),uQe(),HQe(),bet()]);Tet.exports=wet});return rrr();})();\n",
       "/*!\n",
       " * pad-left <https://github.com/jonschlinkert/pad-left>\n",
       " *\n",
       " * Copyright (c) 2014-2015, Jon Schlinkert.\n",
       " * Licensed under the MIT license.\n",
       " */\n",
       "/*!\n",
       " * repeat-string <https://github.com/jonschlinkert/repeat-string>\n",
       " *\n",
       " * Copyright (c) 2014-2015, Jon Schlinkert.\n",
       " * Licensed under the MIT License.\n",
       " */\n",
       "/*! ieee754. BSD-3-Clause License. Feross Aboukhadijeh <https://feross.org/opensource> */\n",
       "/*!\n",
       " * The buffer module from node.js, for the browser.\n",
       " *\n",
       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
       " * @license  MIT\n",
       " */\n",
       "/*!\n",
       " * Determine if an object is a Buffer\n",
       " *\n",
       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
       " * @license  MIT\n",
       " */\n",
       "/*! Bundled license information:\n",
       "\n",
       "native-promise-only/lib/npo.src.js:\n",
       "  (*! Native Promise Only\n",
       "      v0.8.1 (c) Kyle Simpson\n",
       "      MIT License: http://getify.mit-license.org\n",
       "  *)\n",
       "\n",
       "polybooljs/index.js:\n",
       "  (*\n",
       "   * @copyright 2016 Sean Connelly (@voidqk), http://syntheti.cc\n",
       "   * @license MIT\n",
       "   * @preserve Project Home: https://github.com/voidqk/polybooljs\n",
       "   *)\n",
       "\n",
       "ieee754/index.js:\n",
       "  (*! ieee754. BSD-3-Clause License. Feross Aboukhadijeh <https://feross.org/opensource> *)\n",
       "\n",
       "buffer/index.js:\n",
       "  (*!\n",
       "   * The buffer module from node.js, for the browser.\n",
       "   *\n",
       "   * @author   Feross Aboukhadijeh <https://feross.org>\n",
       "   * @license  MIT\n",
       "   *)\n",
       "\n",
       "safe-buffer/index.js:\n",
       "  (*! safe-buffer. MIT License. Feross Aboukhadijeh <https://feross.org/opensource> *)\n",
       "\n",
       "assert/build/internal/util/comparisons.js:\n",
       "  (*!\n",
       "   * The buffer module from node.js, for the browser.\n",
       "   *\n",
       "   * @author   Feross Aboukhadijeh <feross@feross.org> <http://feross.org>\n",
       "   * @license  MIT\n",
       "   *)\n",
       "\n",
       "object-assign/index.js:\n",
       "  (*\n",
       "  object-assign\n",
       "  (c) Sindre Sorhus\n",
       "  @license MIT\n",
       "  *)\n",
       "\n",
       "maplibre-gl/dist/maplibre-gl.js:\n",
       "  (**\n",
       "   * MapLibre GL JS\n",
       "   * @license 3-Clause BSD. Full text of license: https://github.com/maplibre/maplibre-gl-js/blob/v4.7.1/LICENSE.txt\n",
       "   *)\n",
       "*/\n",
       "\n",
       "window.Plotly = Plotly;\n",
       "return Plotly;\n",
       "}));</script>\n",
       "        "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from pycrosstalker import tools as cttl\n",
    "from pycrosstalker import plots as ctpl\n",
    "import matplotlib.pyplot as plt\n",
    "import os\n",
    "import seaborn as sns\n",
    "import numpy as np\n",
    "import plotly\n",
    "import scanpy as sc\n",
    "import liana as li\n",
    "import pandas as pd\n",
    "import warnings\n",
    "import networkx as nx\n",
    "warnings.simplefilter(action=\"ignore\")\n",
    "plotly.offline.init_notebook_mode()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "2954665f",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using resource `consensus`.\n",
      "Using `.raw`!\n",
      "Converting to sparse csr matrix!\n",
      "1175 features of mat are empty, they will be removed.\n",
      "Make sure that normalized counts are passed!\n",
      "0.14 of entities in the resource are missing from the data.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Generating ligand-receptor stats for 96368 samples and 1555 features\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|███████████████████████████████████████| 1000/1000 [01:23<00:00, 11.97it/s]\n",
      "Using resource `consensus`.\n",
      "Using `.raw`!\n",
      "Converting to sparse csr matrix!\n",
      "5512 features of mat are empty, they will be removed.\n",
      "Make sure that normalized counts are passed!\n",
      "0.20 of entities in the resource are missing from the data.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Generating ligand-receptor stats for 19995 samples and 1416 features\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|███████████████████████████████████████| 1000/1000 [00:12<00:00, 78.73it/s]\n"
     ]
    }
   ],
   "source": [
    "adata = sc.read_h5ad(\"./rawdata/snRNAseq_cellsWithSubtype.h5ad\")\n",
    "\n",
    "adata.raw = adata\n",
    "\n",
    "adata.uns['liana'] = {}\n",
    "for i in set(adata.obs['patient_group']):\n",
    "    if i != 'fibrotic':\n",
    "        lr=li.method.cellphonedb(adata[adata.obs['patient_group']==i],\n",
    "                            groupby='cell_subtype2',\n",
    "                            expr_prop=0.1,\n",
    "                            verbose=True,\n",
    "                            resource_name='consensus',\n",
    "                            inplace=False)\n",
    "        adata.uns['liana'][i] = lr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e063ed1a",
   "metadata": {},
   "outputs": [],
   "source": [
    "adata = cttl.utils.from_liana(adata,liana_key=\"liana\",compute_means=False,pval_filter=True)\n",
    "adata.uns['pycrosstalker']['details'] = {}\n",
    "adata.uns['pycrosstalker']['details']['filename'] = \"Human_Myocardial_Infarction\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "c17a3e2e-5b29-4c24-9429-bd3051bfdfbb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['myogenic', 'ischemic'])"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "adata.uns['pycrosstalker']['path'].keys()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ac9b1380",
   "metadata": {},
   "source": [
    "### Running pyCrossTalkeR\n",
    "\n",
    "First, we need to import the pyCrossTalkeR libraries (tools and plots). Next, we define a named list of either the paths to the Ligand-Receptor interaction tables, or directly dataframe objects for each condition of interest. Please note that it is possible to run pyCrossTalkeR with more than two conditions. Here we load the files from within the package. We can further define a path where we like to save our results (output) and run pyCrossTalkeR with the `analise_LR()` function from the `generate_report.py` file:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "a5841975",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Create a Differential Table\n",
      "Calculating CCI Ranking\n",
      "Calculating GCI Ranking\n",
      "Network Analysis Done\n",
      "Generating h5ad file with Analysed Results\n"
     ]
    }
   ],
   "source": [
    "output = \"output/HMI_example/\"\n",
    "if not os.path.isdir(output):\n",
    "    os.mkdir(output)\n",
    "adata = cttl.analise_LR(adata, out_path=output,comparison=[(\"ischemic\",\"myogenic\")])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0e203591",
   "metadata": {},
   "source": [
    "## pyCrossTalkeR Results Ischemic vs Myogenic condition\n",
    "The second part of this tutorial focuses on the results of the comparative analysis of ischemic versus myogenic conditions.\n",
    "\n",
    "### CCI Results\n",
    "We start our result analysis with the cell-cell interaction (CCI) analysis of CrossTalkeR and therefore take a look at our CCI network plot:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "71895aa0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 700x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ctpl.plot.plot_cci(graph=adata.uns['pycrosstalker']['results'][\"graphs\"][\"myogenic\"],\n",
    "        colors=adata.uns['pycrosstalker']['results'][\"colors\"],\n",
    "        plt_name='Control',\n",
    "        coords=adata.uns['pycrosstalker']['results'][\"coords\"],\n",
    "        emax= None,\n",
    "        leg= False,\n",
    "        low= 0,\n",
    "        high= 0, \n",
    "        ignore_alpha= False,\n",
    "        log= False,\n",
    "        efactor= 2,\n",
    "        vfactor= 0.03, \n",
    "        pg= adata.uns['pycrosstalker']['results'][\"rankings\"][\"myogenic\"][\"Pagerank\"],\n",
    "        figsize= (7, 7),\n",
    "        scale_factor= 2.0,\n",
    "        node_size=5.0,\n",
    "        font_size=8,\n",
    "        )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "2f973e66",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 700x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ctpl.plot.plot_cci(graph=adata.uns['pycrosstalker']['results'][\"graphs\"][\"ischemic\"],\n",
    "        colors=adata.uns['pycrosstalker']['results'][\"colors\"],\n",
    "        plt_name='Disease',\n",
    "        coords=adata.uns['pycrosstalker']['results'][\"coords\"],\n",
    "        emax= None,\n",
    "        leg= False,\n",
    "        low= 0,\n",
    "        high= 0, \n",
    "        ignore_alpha= False,\n",
    "        log= False,\n",
    "        efactor= 2,\n",
    "        vfactor= 12, \n",
    "        pg= adata.uns['pycrosstalker']['results'][\"rankings\"][\"ischemic\"][\"Pagerank\"],\n",
    "        figsize= (7, 7),\n",
    "        scale_factor= 2.0,\n",
    "        node_size=5.0,\n",
    "        font_size=8,\n",
    "        )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "1958cb6d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 700x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ctpl.plot.plot_cci(graph=adata.uns['pycrosstalker']['results'][\"graphs\"][\"ischemic_x_myogenic\"],\n",
    "        colors=adata.uns['pycrosstalker']['results'][\"colors\"],\n",
    "        plt_name='Comparative (Disease vs Control)',\n",
    "        coords=adata.uns['pycrosstalker']['results'][\"coords\"],\n",
    "        emax= None,\n",
    "        leg= False,\n",
    "        low= 0,\n",
    "        high= 0, \n",
    "        ignore_alpha= False,\n",
    "        log= False,\n",
    "        efactor= 2,\n",
    "        vfactor= 12, \n",
    "        pg= adata.uns['pycrosstalker']['results'][\"rankings\"][\"ischemic_x_myogenic\"][\"Pagerank\"],\n",
    "        figsize= (7, 7),\n",
    "        scale_factor= 2.0,\n",
    "        node_size=3.0,\n",
    "        font_size=8,\n",
    "        )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a8c20d30",
   "metadata": {},
   "source": [
    "In the ischemic condition, CCIs are generally reduced. However, certain cell types remain notably important, as highlighted by their higher Pagerank scores. These key cell types include cardiomyocyte clusters, two of the four fibroblast clusters, and specific myeloid cells, such as SPP1-expressing macrophages and mast cells. These findings indicate that despite the reduced overall interactions, these cell types are predicted to have a central role in the CCI network of the ischemic condition.\n",
    "\n",
    "pyCrossTalkeR also offers a refined CCI network by employing Fisher’s exact test to filter the network based on interaction proportions. We can plot the resulting statistics in a Volcano Plot:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "0b02bd3f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ctpl.plot_volcane(adata.uns['pycrosstalker']['results']['stats']['ischemic_x_myogenic'], \"fisher\", p_threshold=0.05, fc_threshold=2, annot=False, title=\"Volcano Plot for Ischemic vs Myogenic on Fisher Filtered Data\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "eebd820a-e56b-462f-a3f8-1857fe7aa693",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'ischemic_x_myogenic':                      cellpair       p_value     lodds  neg_log10_p_value color\n",
       " 0                 Adipo@Adipo  8.639324e-21 -2.487214          20.063520   red\n",
       " 1         Adipo@Arterial_Endo  1.324010e-04 -1.166175           3.878109  blue\n",
       " 2     Adipo@CCL18_Macrophages  8.965582e-05 -1.030422           4.047422  blue\n",
       " 3                   Adipo@CD4  4.509707e-04 -1.297612           3.345852  blue\n",
       " 4                   Adipo@CD8  5.946657e-04 -0.998870           3.225727  blue\n",
       " ...                       ...           ...       ...                ...   ...\n",
       " 1084           vSMCs_2@prolif  5.134130e-01  0.189891           0.289533  gray\n",
       " 1085            vSMCs_2@vCM_3  2.582618e-02  0.555894           1.587940  blue\n",
       " 1086            vSMCs_2@vCM_4  5.101567e-07  0.796664           6.292296  blue\n",
       " 1087          vSMCs_2@vSMCs_1  8.397523e-09  1.574920           8.075849  blue\n",
       " 1088          vSMCs_2@vSMCs_2  2.720834e-10  1.850325           9.565298  blue\n",
       " \n",
       " [1089 rows x 5 columns],\n",
       " 'ischemic_x_myogenic:MannU':                     cellpair  statistic   p_value       lfc\n",
       " 0                Adipo@Adipo      191.0  0.000021 -2.267755\n",
       " 1        Adipo@Arterial_Endo      344.0  0.000104 -1.506170\n",
       " 2    Adipo@CCL18_Macrophages      554.0  0.000003 -1.683331\n",
       " 3                  Adipo@CD4      114.0  0.000501 -2.054883\n",
       " 4                  Adipo@CD8      281.0  0.003504 -1.506139\n",
       " ..                       ...        ...       ...       ...\n",
       " 953           vSMCs_2@prolif      293.0  0.538464  0.040534\n",
       " 954            vSMCs_2@vCM_3      591.0  0.291857 -0.728980\n",
       " 955            vSMCs_2@vCM_4     3896.0  0.039390 -0.702017\n",
       " 956          vSMCs_2@vSMCs_1      442.0  0.743988 -0.042705\n",
       " 957          vSMCs_2@vSMCs_2      261.0  0.947450 -0.025623\n",
       " \n",
       " [958 rows x 4 columns]}"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "adata.uns['pycrosstalker']['results']['stats']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "040329fe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ctpl.plot_volcane(adata.uns['pycrosstalker']['results']['stats']['ischemic_x_myogenic:MannU'], \"mannwhitneyu\", p_threshold=0.05, fc_threshold=2, annot = False, title=\"Volcano Plot for Ischemic vs Myogenic on Mann-Whitney U Filtered Data\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "45f0a9c1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Pearson r = 0.397, p = 1.963e-37\n",
      "Spearman r = 0.367, p = 6.672e-32\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from scipy.stats import pearsonr, spearmanr\n",
    "\n",
    "x = adata.uns['pycrosstalker']['results']['stats']['ischemic_x_myogenic']\n",
    "y = adata.uns['pycrosstalker']['results']['stats']['ischemic_x_myogenic:MannU']\n",
    "\n",
    "merged = pd.merge(x, y, on='cellpair', how='inner')\n",
    "\n",
    "# Pearson correlation (linear)\n",
    "r_pearson, p_pearson = pearsonr(merged['lodds'], merged['lfc'])\n",
    "# Spearman correlation (monotonic/rank-based, more robust to outliers)\n",
    "r_spearman, p_spearman = spearmanr(merged['lodds'], merged['lfc'])\n",
    "\n",
    "print(f\"Pearson r = {r_pearson:.3f}, p = {p_pearson:.3e}\")\n",
    "print(f\"Spearman r = {r_spearman:.3f}, p = {p_spearman:.3e}\")\n",
    "\n",
    "plt.figure(figsize=(8, 8))\n",
    "plt.scatter(merged['lodds'], merged['lfc'], alpha=0.5)\n",
    "plt.ylabel('Log Fold Change (LFC)')\n",
    "plt.xlabel('Log Odds Ratio (LOR)')\n",
    "plt.title('Scatter Plot of Log Odds Ratio vs Log Fold Change')\n",
    "plt.text(\n",
    "    0.05, 0.95, \n",
    "    f\"Correation Coefficients:\\n\"\n",
    "    f\"Pearson r = {r_pearson:.2f}, p = {p_pearson:.1e}\\n\"\n",
    "    f\"Spearman r = {r_spearman:.2f}, p = {p_spearman:.1e}\",\n",
    "    transform=plt.gca().transAxes,  # relative coordinates (0–1)\n",
    "    fontsize=10, \n",
    "    verticalalignment='top'\n",
    ")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "83001c07",
   "metadata": {},
   "source": [
    "Statistically significant points are labeled with the names of the corresponding edge pairs, with the significance threshold set to a p-value greater than 0.05 and a log2 fold change above one. We see that many of these significant interactions involve high Pagerank cell types, including fibroblast, cardiomyocyte, and myeloid cell clusters. Using this threshold (the default in CrossTalkeR), we can retain only interacting cell pairs with a p-value greater than 0.05 as an example, and replot the CCI network:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "35166972",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 700x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ctpl.plot.plot_cci(graph=adata.uns['pycrosstalker']['results'][\"graphs\"][\"ischemic_x_myogenic_filtered\"],\n",
    "        colors=adata.uns['pycrosstalker']['results'][\"colors\"],\n",
    "        plt_name='Ischemic vs Myogenic Fisher filtered',\n",
    "        coords=adata.uns['pycrosstalker']['results'][\"coords\"],\n",
    "        emax= None,\n",
    "        leg= False,\n",
    "        low= 0,\n",
    "        high= 0, \n",
    "        ignore_alpha= False,\n",
    "        log= False,\n",
    "        efactor= 2,\n",
    "        vfactor= 12, \n",
    "        pg= adata.uns['pycrosstalker']['results'][\"rankings\"][\"ischemic_x_myogenic_filtered\"][\"Pagerank\"],\n",
    "        figsize= (7, 7),\n",
    "        scale_factor= 2.0,\n",
    "        node_size=2.0,\n",
    "        font_size=8,\n",
    "        )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2f367a25",
   "metadata": {},
   "source": [
    "In the filtered CCI plot, positive edges become more visible, though all cell types remain except for the Neuronal and Purkinje_fibers clusters. The Pagerank of the nodes remains largely unchanged.\n",
    "\n",
    "We can also examine the filtered CCI network with the help of a heatmap:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "55b78d20",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 900x700 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ctpl.plot_graph_clustermap(adata.uns['pycrosstalker']['results']['graphs']['ischemic_x_myogenic_filtered'], annot=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "53588894",
   "metadata": {},
   "source": [
    "The heatmap provides a more detailed view of the interactions between cell types. The color intensity corresponds to the edge weight in the CCI plot, with red indicating a positive and blue indicating a negative interaction score in the ischemic condition. The sender cell type (Receptor cluster) is on the x axis, and the receiving cell type (Ligand Cluster) on the y axis. We can use the order of the cell types in the heatmap to reorder the nodes in the CCI plot. Here we are sorting the nodes by the order of the sending clusters in the heatmap."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "2a9b824c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 700x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ordered_nodes = cttl.get_clustered_node_order(adata.uns['pycrosstalker']['results']['graphs']['ischemic_x_myogenic_filtered'], weight=\"LRScore\")\n",
    "coords = cttl.create_ordered_circular_layout(ordered_nodes)\n",
    "\n",
    "graph = nx.from_pandas_edgelist(adata.uns['pycrosstalker']['results']['graphs']['ischemic_x_myogenic_filtered'],\n",
    "                                    source='source',\n",
    "                                    target='target',\n",
    "                                    edge_attr=True,\n",
    "                                    create_using=nx.DiGraph())\n",
    "\n",
    "ctpl.plot.plot_cci(graph=adata.uns['pycrosstalker']['results']['graphs']['ischemic_x_myogenic_filtered'],\n",
    "        colors=adata.uns['pycrosstalker']['results']['colors'],\n",
    "        plt_name='Ischemic vs Myogenic Fisher filtered',\n",
    "        coords={n: coords[n] for n in graph.nodes if n in coords},\n",
    "        emax=None,\n",
    "        leg=False,\n",
    "        low=0,\n",
    "        high=0,\n",
    "        ignore_alpha=False,\n",
    "        log=False,\n",
    "        efactor=2,\n",
    "        vfactor=12,\n",
    "        pg=adata.uns['pycrosstalker']['results']['rankings']['ischemic_x_myogenic_filtered']['Pagerank'],\n",
    "        figsize= (7, 7),\n",
    "        scale_factor= 2.0,\n",
    "        node_size=2.0,\n",
    "        font_size=8,\n",
    "        )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "09c9df9c",
   "metadata": {},
   "source": [
    "To confirm the top cell types identified by Pagerank, we can examine their Pagerank scores in more detail using a bar plot:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "f6a33a29",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ctpl.plot_bar_rankings(adata, \"ischemic_x_myogenic\", \"Pagerank\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "097b6baf",
   "metadata": {},
   "source": [
    "We can further take a look at the Influencer and Listener ranking to observe which cell types are more sending or more receiving:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "b9f01e11",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ctpl.plot_bar_rankings(adata, \"ischemic_x_myogenic_filtered\", \"Influencer\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "656729e0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ctpl.plot_bar_rankings(adata, \"ischemic_x_myogenic_filtered\", \"Listener\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a6a08d01",
   "metadata": {},
   "source": [
    "These plots highlight that nearly all cell types are predicted to communicate less in the ischemic condition compared to the myogenic condition. Exceptions include the Fib_0 and Perivascular Fibroblasts clusters, which exhibit a higher Influencer Score in the ischemic condition (indicating more outgoing signals). Additionally, the vSMCs_2, Perivascular fibroblasts, and vSMCs_1 clusters show a higher Listener Score, indicating more incoming signals in ischemia.\n",
    "\n",
    "Most of the observations at the CCI level are consistent with the findings in the paper. For instance, fibrotic structures are more prominent in the ischemic condition, which is also reflected in the Pagerank scores, as at least two out of the four fibroblast clusters have a higher Pagerank in the ischemic condition."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dd1ccea3",
   "metadata": {},
   "source": [
    "### CGI Results\n",
    "\n",
    "Next, we shift to the gene-cell interaction (GCI) level. Similar to the CCI level, we can examine the network’s topological rankings. We begin by reviewing the top Pagerank results, which identify genes within a specific cell type that are important in the network’s signaling. For now, we will focus exclusively on ligand-receptor (LR) interactions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "ff7a7027",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rankings_table_myogenic = adata.uns['pycrosstalker']['results']['rankings']['myogenic_ggi']\n",
    "rankings_table_myogenic = rankings_table_myogenic.sort_values(by='Pagerank')\n",
    "rankings_table_myogenic['signal'] = ['negative' if x < 0 else 'positive' for x in rankings_table_myogenic['Pagerank']]\n",
    "\n",
    "rankings_table_myogenic_tail = rankings_table_myogenic[-10:]\n",
    "\n",
    "rankings_table_ischemic = adata.uns['pycrosstalker']['results']['rankings']['ischemic_ggi']\n",
    "rankings_table_ischemic = rankings_table_ischemic.sort_values(by='Pagerank')\n",
    "rankings_table_ischemic['signal'] = ['negative' if x < 0 else 'positive' for x in rankings_table_ischemic['Pagerank']]\n",
    "\n",
    "rankings_table_ischemic_tail = rankings_table_ischemic[-10:]\n",
    "\n",
    "#Plot\n",
    "custom_palette = {'positive': '#FF8E32', 'negative':'#ff3e3e'}  # Orange and Blue\n",
    "fig, axes = plt.subplots(1, 2, figsize=(12, 8), sharey=False)  # 1 row, 2 columns\n",
    "\n",
    "sns.barplot(x='Pagerank', y='nodes', data=rankings_table_myogenic_tail, hue='signal', dodge=False, palette=custom_palette, ax=axes[0])\n",
    "axes[0].set_title('Top Listener for myogenic_ggi')\n",
    "axes[0].set_xlabel('Pagerank')\n",
    "axes[0].set_ylabel('Nodes')\n",
    "\n",
    "sns.barplot(x='Pagerank', y='nodes', data=rankings_table_ischemic_tail, hue='signal', dodge=False, palette=custom_palette, ax=axes[1])\n",
    "axes[1].set_title(\"Top Listener for ischemic_ggi\")\n",
    "axes[1].set_xlabel('Pagerank')\n",
    "axes[1].set_ylabel('Nodes')\n",
    "\n",
    "# Set x-axis tick intervals\n",
    "max_val = rankings_table_myogenic_tail['Pagerank'].max()\n",
    "min_val = rankings_table_myogenic_tail['Pagerank'].min()\n",
    "ticks = np.linspace(min_val, max_val, num=5)  # Adjust 'num' for more/less intervals\n",
    "axes[0].set_xticks(ticks, [f'{tick:.2f}' for tick in ticks])\n",
    "\n",
    "max_val = rankings_table_ischemic_tail['Pagerank'].max()\n",
    "min_val = rankings_table_ischemic_tail['Pagerank'].min()\n",
    "ticks = np.linspace(min_val, max_val, num=5)  # Adjust 'num' for more/less intervals\n",
    "axes[1].set_xticks(ticks, [f'{tick:.2f}' for tick in ticks])\n",
    "\n",
    "for ax in axes:\n",
    "    # Invert y-axis to have highest values at the top\n",
    "    ax.invert_yaxis()\n",
    "\n",
    "    # Show the legend only once\n",
    "    handles, labels = ax.get_legend_handles_labels()\n",
    "    ax.legend(handles, labels, loc='lower right')\n",
    "\n",
    "    ax.grid(True, linestyle='--', linewidth=0.5)\n",
    "    ax.set_axisbelow(True)\n",
    "\n",
    "# Adjust layout and show plot\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "37df059a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "top_listener_myogenic_ggi_genes = list(i.split('|')[0].split('/')[1] for i in rankings_table_myogenic_tail['nodes'])\n",
    "top_listener_ischemic_ggi_genes = list(i.split('|')[0].split('/')[1] for i in rankings_table_ischemic_tail['nodes'])\n",
    "\n",
    "ctpl.plot.gene_annotation(gene_list_to_profile=top_listener_myogenic_ggi_genes,\n",
    "                          num_gos=15,\n",
    "                          figsize=(10,6))\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "866feb2c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ctpl.plot.gene_annotation(gene_list_to_profile=top_listener_ischemic_ggi_genes,\n",
    "                          num_gos=15,\n",
    "                          figsize=(10,6))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "11ca5430",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ctpl.plot_bar_rankings(adata, \"ischemic_x_myogenic_ggi\", \"Pagerank\", type=\"LR\", mode=\"cgi\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "37a09b96",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ctpl.plot_bar_rankings(adata, \"ischemic_x_myogenic_ggi\", \"Influencer\", type=\"L\", mode=\"cgi\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "5a2dabde",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ctpl.plot_bar_rankings(adata, \"ischemic_x_myogenic_ggi\", \"Listener\", type=\"R\", mode=\"cgi\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "02ff6402",
   "metadata": {},
   "source": [
    "Next, we create the Sankey plots for the ischemic vs. myogenic comparisons, as shown in extended figures 12d and e in the original paper. It is important to note that these plots may differ slightly, as we are using newer versions of the LIANA package and, for simplicity, we are considering fewer samples in this tutorial.\n",
    "\n",
    "We begin with the Sankey plots showing signaling between the vSMCs_2 and vCM_4 clusters (in both directions):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "b65f63a8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ctpl.plot_sankey(\n",
    "    adata.uns['pycrosstalker']['results']['tables']['ischemic_x_myogenic'],\n",
    "    ligand_cluster = [\"vSMCs_2\"],\n",
    "    receptor_cluster = [\"vCM_4\"],\n",
    "    plt_name = \"vSMCs_2 to vCM_4 Signaling ischemic vs myogenic\",\n",
    "    threshold = 30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "5b051497",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ctpl.plot_sankey(\n",
    "    adata.uns['pycrosstalker']['results']['tables']['ischemic_x_myogenic'],\n",
    "    ligand_cluster = [\"vCM_4\"],\n",
    "    receptor_cluster = [\"vSMCs_2\"],\n",
    "    plt_name = \"vCM_4 to vSMCs_2 Signaling ischemic vs myogenic\",\n",
    "    threshold = 30)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b68fe95c",
   "metadata": {},
   "source": [
    "Additionally, a Sankey plot was created for a subset of cell types, displaying only interactions involving the TGFB1 ligand:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "d7c6109d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "set = [\"LYVE_FOLR_Macrophages\",\n",
    "\"LYVE_PLTP_Macrophages\",\n",
    "\"CCL18_Macrophages\",\n",
    "\"SPP1_Macrophages\",\n",
    "\"Monocytes\",\n",
    "\"Fib4_COL15A1\",\n",
    "\"Fib3_C7\",\n",
    "\"Fib2_Myofib\",\n",
    "\"Fib1_SCARA5\"]\n",
    "\n",
    "ctpl.plot_sankey(\n",
    "    adata.uns['pycrosstalker']['results']['tables']['ischemic_x_myogenic'],\n",
    "    target= \"TGFB1|L\",\n",
    "    ligand_cluster = set,\n",
    "    receptor_cluster = set,\n",
    "    plt_name = \"TGFB1 Signaling Between Cell Type Subset ischemic vs myogenic\",\n",
    "    threshold = 30)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "pyctker",
   "language": "python",
   "name": "pyctker"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}